From 74bfa38f948f03d8f60492af911e82e98f18a355 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Wed, 4 Feb 2026 09:48:46 +0800 Subject: [PATCH 01/31] =?UTF-8?q?=D0=A2=D0=B5=D1=85=D0=BD=D0=B8=D1=87?= =?UTF-8?q?=D0=B5=D1=81=D0=BA=D0=B8=D0=B5=20=D0=BE=D0=B1=D0=BD=D0=BE=D0=B2?= =?UTF-8?q?=D0=BB=D1=8F=D0=BD=D0=B8=D1=8F=20=D0=BF=D0=BE=20=D1=81=D0=BE?= =?UTF-8?q?=D1=85=D1=80=D0=B0=D0=BD=D0=B5=D0=BD=D0=B8=D1=8E=20=D0=B4=D0=B0?= =?UTF-8?q?=D0=BD=D0=BD=D1=8B=D1=85?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- tests/ablation_experiments.py | 2 +- tests/convert_config.yaml | 12 +- tests/deep_seek_zero_shot_test.ipynb | 1081 +++++++++++++++++++++++++- 3 files changed, 1069 insertions(+), 26 deletions(-) diff --git a/tests/ablation_experiments.py b/tests/ablation_experiments.py index b723c7c..1a1afa1 100644 --- a/tests/ablation_experiments.py +++ b/tests/ablation_experiments.py @@ -253,7 +253,7 @@ def main(): #if inputdata == outputdata: # shutil.rmtree(inputdata) dataset2.save_to_disk(outputdata) - + dataset = dataset2 if __name__ == "__main__": #python abation_experiments.py --inputdata tab_fact_test_semtab__html_ablation --outputdata tab_fact_test_semtab_html_ablation_correcring_first --conf-file semtab_html_config_answer.yaml --num_proc 16 > tab_fact_test_html_ablation_log2.txt diff --git a/tests/convert_config.yaml b/tests/convert_config.yaml index 973a052..081395a 100644 --- a/tests/convert_config.yaml +++ b/tests/convert_config.yaml @@ -1,6 +1,6 @@ semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50: model_type: viznet - device: cuda + device: 'cuda:1' serialization_type: semtab notation: html model_base_dir: ../utils/doduo/ @@ -14,7 +14,7 @@ semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50: semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50: model_type: viznet - device: cuda + device: 'cuda:1' serialization_type: semtab notation: xml param_position: attributes @@ -29,7 +29,7 @@ semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50: semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50: model_type: viznet - device: cuda + device: 'cuda:1' serialization_type: semtab notation: xml param_position: elements @@ -44,7 +44,7 @@ semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50: semtab_xml_elements_datatype_exampples_description_top1_tresh50: model_type: viznet - device: cuda + device: 'cuda:1' serialization_type: semtab notation: xml param_position: elements @@ -59,7 +59,7 @@ semtab_xml_elements_datatype_exampples_description_top1_tresh50: semtab_xml_elements_exampples_description_top1_tresh50: model_type: viznet - device: cuda + device: 'cuda:1' serialization_type: semtab notation: xml param_position: elements @@ -74,7 +74,7 @@ semtab_xml_elements_exampples_description_top1_tresh50: semtab_xml_elements_description_top1_tresh50: model_type: viznet - device: cuda + device: 'cuda:1' serialization_type: semtab notation: xml param_position: elements diff --git a/tests/deep_seek_zero_shot_test.ipynb b/tests/deep_seek_zero_shot_test.ipynb index e26b5d8..d8c2795 100644 --- a/tests/deep_seek_zero_shot_test.ipynb +++ b/tests/deep_seek_zero_shot_test.ipynb @@ -22,7 +22,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 8, "id": "6adf47a7-4b6b-4513-a7dc-561208e3825b", "metadata": {}, "outputs": [], @@ -61,27 +61,20 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 42, "id": "a817e960-131b-48c1-bd77-8243d1148668", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "{'id': 0,\n", - " 'statement': 'haroldo be mention as a brazil scorer for 2 different game',\n", - " 'label': 1,\n", - " 'table_caption': '1919 in brazilian football',\n", - " 'table_text': 'date#result#score#brazil scorers#competition\\nmay 11 , 1919#w#6 - 0#friedenreich (3) , neco (2) , haroldo#south american championship\\nmay 18 , 1919#w#3 - 1#heitor , amílcar , millon#south american championship\\nmay 26 , 1919#d#2 - 2#neco (2)#south american championship\\nmay 29 , 1919#w#1 - 0#friedenreich#south american championship\\njune 1 , 1919#d#3 - 3#haroldo , arlindo (2)#taça roberto cherry\\n',\n", - " 'pandas_code': \"df['brazil scorers'].apply(lambda x: 'haroldo' in x).sum() == 2\",\n", - " 'pandas_eval': 'True',\n", - " 'nlsep_query': 'haroldo be mention as a brazil scorer for 2 different game col : date | result | score | brazil scorers | competition row 1 : may 11 , 1919 | w | 6 - 0 | friedenreich (3) , neco (2) , haroldo | south american championship row 2 : may 18 , 1919 | w | 3 - 1 | heitor , amílcar , millon | south american championship row 3 : may 26 , 1919 | d | 2 - 2 | neco (2) | south american championship row 4 : may 29 , 1919 | w | 1 - 0 | friedenreich | south american championship row 5 : june 1 , 1919 | d | 3 - 3 | haroldo , arlindo (2) | taça roberto cherry',\n", - " 'semtab_query': 'haroldo be mention as a brazil scorer for 2 different game 1919 in brazilian football
datebirthDate - 1.0\"str\"0[\"may 26 , 1919\", \"may 29 , 1919\", \"june 1 , 1919\"]
resultcode - 0.6\"str\"0[\"d\", \"d\", \"w\"]
score\"str\"0[\"3 - 3\", \"6 - 0\", \"3 - 1\"]
brazil scorersresult - 1.0\"str\"0[\"neco (2)\", \"heitor , am\\\\u00edlcar , millon\", \"friedenreich (3) , neco (2) , haroldo\"]
competitionnotes - 0.98\"str\"0[\"south american championship\", \"south american championship\", \"ta\\\\u00e7a roberto cherry\"]
'}" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" + "ename": "NameError", + "evalue": "name 'dataset' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[42], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdataset\u001b[49m[\u001b[38;5;241m9\u001b[39m]\n", + "\u001b[0;31mNameError\u001b[0m: name 'dataset' is not defined" + ] } ], "source": [ @@ -18442,10 +18435,1060 @@ "data[0]['semtab_html_top1_tresh50']\n" ] }, + { + "cell_type": "markdown", + "id": "ace5820b-6963-4dc1-8178-e9eb8e0d6945", + "metadata": {}, + "source": [ + "# Ablation study" + ] + }, + { + "cell_type": "code", + "execution_count": 376, + "id": "20107cab-8b91-45db-a3af-f30dd0580d41", + "metadata": {}, + "outputs": [], + "source": [ + "from datasets import load_from_disk" + ] + }, + { + "cell_type": "code", + "execution_count": 381, + "id": "9f519f31-280d-4e58-8820-03c4ef9f312e", + "metadata": {}, + "outputs": [], + "source": [ + "data = load_from_disk(\"tab_fact_test_semtab_html_ablation_correcring_first_new\")" + ] + }, + { + "cell_type": "code", + "execution_count": 382, + "id": "847bfa1b-927b-41f6-ba2a-0373d544f653", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50', 'semtab_html_datatype_exampples3_description_top1_tresh50', 'semtab_html_exampples3_description_top1_tresh50', 'semtab_html_description_top1_tresh50', 'semtab_html_top1_tresh50', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_exampples3_description_top1_tresh50_answ', 'semtab_html_exampples3_description_top1_tresh50_label', 'semtab_html_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_description_top1_tresh50_answ', 'semtab_html_description_top1_tresh50_label', 'semtab_html_description_top1_tresh50_answ_correct', 'semtab_html_top1_tresh50_answ', 'semtab_html_top1_tresh50_label', 'semtab_html_top1_tresh50_answ_correct'],\n", + " num_rows: 12779\n", + "})" + ] + }, + "execution_count": 382, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data\n" + ] + }, + { + "cell_type": "code", + "execution_count": 383, + "id": "e52ae62c-5963-471f-9f91-5f5b2cdadb75", + "metadata": {}, + "outputs": [], + "source": [ + "from utils.utils import load_config\n" + ] + }, + { + "cell_type": "code", + "execution_count": 384, + "id": "a513ec25-9696-41be-b50e-59cb088c5022", + "metadata": {}, + "outputs": [], + "source": [ + "config = load_config('semtab_html_config_answer2.yaml')" + ] + }, + { + "cell_type": "code", + "execution_count": 386, + "id": "d6ba8380-4090-475e-80a7-76e212ad7f7c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['semtab_html_semantic_datatype_exampples3_description_top1_tresh50',\n", + " 'semtab_html_datatype_exampples3_description_top1_tresh50',\n", + " 'semtab_html_exampples3_description_top1_tresh50',\n", + " 'semtab_html_description_top1_tresh50',\n", + " 'semtab_html_top1_tresh50']" + ] + }, + "execution_count": 386, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tests = list(config.keys())\n", + "tests" + ] + }, + { + "cell_type": "code", + "execution_count": 391, + "id": "b39c63d6-5f2c-4992-bed5-8e84ff9f881d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "semtab_html_semantic_datatype_exampples3_description_top1_tresh50\n", + "53.673996400344315\n", + "different 0.0\n", + "semtab_html_datatype_exampples3_description_top1_tresh50\n", + "54.816495813443936\n", + "different 1.142499413099621\n", + "semtab_html_exampples3_description_top1_tresh50\n", + "54.11221535331403\n", + "different -0.7042804601299082\n", + "semtab_html_description_top1_tresh50\n", + "46.545113076140545\n", + "different -7.567102277173483\n", + "semtab_html_top1_tresh50\n", + "46.490335707019334\n", + "different -0.05477736912121145\n" + ] + } + ], + "source": [ + "acc_old = None\n", + "for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = process_data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " #print(dd.shape[0]/data.shape[0]*100)\n", + " #print(dd.shape[0]/process_data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " #print(true.shape[0]/process_data.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " print(acc)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" + ] + }, + { + "cell_type": "code", + "execution_count": 392, + "id": "7182ceea-4e3b-4aa4-ba30-9a1c6e7068e2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50', 'semtab_html_datatype_exampples3_description_top1_tresh50', 'semtab_html_exampples3_description_top1_tresh50', 'semtab_html_description_top1_tresh50', 'semtab_html_top1_tresh50', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_exampples3_description_top1_tresh50_answ', 'semtab_html_exampples3_description_top1_tresh50_label', 'semtab_html_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_description_top1_tresh50_answ', 'semtab_html_description_top1_tresh50_label', 'semtab_html_description_top1_tresh50_answ_correct', 'semtab_html_top1_tresh50_answ', 'semtab_html_top1_tresh50_label', 'semtab_html_top1_tresh50_answ_correct'],\n", + " num_rows: 12779\n", + "})" + ] + }, + "execution_count": 392, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 394, + "id": "4de2d1af-de13-45d4-ac5c-28bdedd47d95", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "tournament#wins#top - 5#top - 10#top - 25#events#cuts made\n", + "masters tournament#0#1#2#4#4#4\n", + "us open#0#2#3#4#6#5\n", + "the open championship#1#2#2#2#3#3\n", + "pga championship#0#0#1#2#5#4\n", + "totals#1#5#8#12#18#16\n", + "\n" + ] + } + ], + "source": [ + "print(data[0]['table_text'])" + ] + }, + { + "cell_type": "code", + "execution_count": 395, + "id": "62deb973-0d03-4d73-9eed-478317713a21", + "metadata": {}, + "outputs": [], + "source": [ + "data2 = dataset.to_pandas()" + ] + }, + { + "cell_type": "code", + "execution_count": 396, + "id": "7b5a313b-ccde-40f3-8e8f-fbf89aad1175", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idstatementlabeltable_captiontable_textpandas_codepandas_evalnlsep_querysemtab_query
00haroldo be mention as a brazil scorer for 2 di...11919 in brazilian footballdate#result#score#brazil scorers#competition\\n...df['brazil scorers'].apply(lambda x: 'haroldo'...Trueharoldo be mention as a brazil scorer for 2 di...haroldo be mention as a brazil scorer for 2 di...
114 of the 5 game be for the south american cham...11919 in brazilian footballdate#result#score#brazil scorers#competition\\n...(df['competition'].value_counts()['south ameri...True4 of the 5 game be for the south american cham...4 of the 5 game be for the south american cham...
22friedenreich be mention as a brazil scorer for...11919 in brazilian footballdate#result#score#brazil scorers#competition\\n...df['brazil scorers'].str.contains('friedenreic...Truefriedenreich be mention as a brazil scorer for...friedenreich be mention as a brazil scorer for...
33there be 2 different game where the highest sc...11919 in brazilian footballdate#result#score#brazil scorers#competition\\n...len(df[df['score'].str.extract(r'^(\\d+) - \\d+$...Truethere be 2 different game where the highest sc...there be 2 different game where the highest sc...
444 of the 5 game be play in may 191911919 in brazilian footballdate#result#score#brazil scorers#competition\\n...(df['date'].str.contains('may') & df['date'].s...True4 of the 5 game be play in may 1919 col : dat...4 of the 5 game be play in may 1919 <TABLE><DE...
..............................
8811192278jerraud power , 192 pound (87 kg) , be choose ...12009 indianapolis colts seasonround#choice#player#position#height#weight#col...df[(df['player'] == 'jerraud powers') & (df['w...Truejerraud power , 192 pound (87 kg) , be choose ...jerraud power , 192 pound (87 kg) , be choose ...
8811292279terrence taylor play for auburn02009 indianapolis colts seasonround#choice#player#position#height#weight#col...df[df['player'] == 'terrance taylor']['college...Falseterrence taylor play for auburn col : round |...terrence taylor play for auburn <TABLE><DESCRI...
8811392280curtis painter 's position be quarterback and ...02009 indianapolis colts seasonround#choice#player#position#height#weight#col...(df[df['player'] == 'curtis painter']['positio...Falsecurtis painter 's position be quarterback and ...curtis painter 's position be quarterback and ...
8811492281the player who weigh the most play in round 302009 indianapolis colts seasonround#choice#player#position#height#weight#col...(df.loc[df['weight'].str.extract('(\\\\d+)').ast...Falsethe player who weigh the most play in round 3 ...the player who weigh the most play in round 3 ...
8811592282for 2007 / 08 , metal - volume (thousand tons)...1iran mercantile exchangeime exchange (including spot , credit and forw...df.loc[df['ime exchange (including spot , cred...Truefor 2007 / 08 , metal - volume (thousand tons)...for 2007 / 08 , metal - volume (thousand tons)...
\n", + "

88116 rows × 9 columns

\n", + "
" + ], + "text/plain": [ + " id statement label \\\n", + "0 0 haroldo be mention as a brazil scorer for 2 di... 1 \n", + "1 1 4 of the 5 game be for the south american cham... 1 \n", + "2 2 friedenreich be mention as a brazil scorer for... 1 \n", + "3 3 there be 2 different game where the highest sc... 1 \n", + "4 4 4 of the 5 game be play in may 1919 1 \n", + "... ... ... ... \n", + "88111 92278 jerraud power , 192 pound (87 kg) , be choose ... 1 \n", + "88112 92279 terrence taylor play for auburn 0 \n", + "88113 92280 curtis painter 's position be quarterback and ... 0 \n", + "88114 92281 the player who weigh the most play in round 3 0 \n", + "88115 92282 for 2007 / 08 , metal - volume (thousand tons)... 1 \n", + "\n", + " table_caption \\\n", + "0 1919 in brazilian football \n", + "1 1919 in brazilian football \n", + "2 1919 in brazilian football \n", + "3 1919 in brazilian football \n", + "4 1919 in brazilian football \n", + "... ... \n", + "88111 2009 indianapolis colts season \n", + "88112 2009 indianapolis colts season \n", + "88113 2009 indianapolis colts season \n", + "88114 2009 indianapolis colts season \n", + "88115 iran mercantile exchange \n", + "\n", + " table_text \\\n", + "0 date#result#score#brazil scorers#competition\\n... \n", + "1 date#result#score#brazil scorers#competition\\n... \n", + "2 date#result#score#brazil scorers#competition\\n... \n", + "3 date#result#score#brazil scorers#competition\\n... \n", + "4 date#result#score#brazil scorers#competition\\n... \n", + "... ... \n", + "88111 round#choice#player#position#height#weight#col... \n", + "88112 round#choice#player#position#height#weight#col... \n", + "88113 round#choice#player#position#height#weight#col... \n", + "88114 round#choice#player#position#height#weight#col... \n", + "88115 ime exchange (including spot , credit and forw... \n", + "\n", + " pandas_code pandas_eval \\\n", + "0 df['brazil scorers'].apply(lambda x: 'haroldo'... True \n", + "1 (df['competition'].value_counts()['south ameri... True \n", + "2 df['brazil scorers'].str.contains('friedenreic... True \n", + "3 len(df[df['score'].str.extract(r'^(\\d+) - \\d+$... True \n", + "4 (df['date'].str.contains('may') & df['date'].s... True \n", + "... ... ... \n", + "88111 df[(df['player'] == 'jerraud powers') & (df['w... True \n", + "88112 df[df['player'] == 'terrance taylor']['college... False \n", + "88113 (df[df['player'] == 'curtis painter']['positio... False \n", + "88114 (df.loc[df['weight'].str.extract('(\\\\d+)').ast... False \n", + "88115 df.loc[df['ime exchange (including spot , cred... True \n", + "\n", + " nlsep_query \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 col : dat... \n", + "... ... \n", + "88111 jerraud power , 192 pound (87 kg) , be choose ... \n", + "88112 terrence taylor play for auburn col : round |... \n", + "88113 curtis painter 's position be quarterback and ... \n", + "88114 the player who weigh the most play in round 3 ... \n", + "88115 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " semtab_query \n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 3812\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3813\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", + "File \u001b[0;32mpandas/_libs/index.pyx:167\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/index.pyx:196\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7088\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7096\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'table_csv'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[397], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdata2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtable_csv\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/frame.py:4113\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 4112\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_multilevel(key)\n\u001b[0;32m-> 4113\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4114\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[1;32m 4115\u001b[0m indexer \u001b[38;5;241m=\u001b[39m [indexer]\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/indexes/base.py:3819\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3814\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m 3815\u001b[0m \u001b[38;5;28misinstance\u001b[39m(casted_key, abc\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m 3816\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[1;32m 3817\u001b[0m ):\n\u001b[1;32m 3818\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3819\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 3820\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m 3821\u001b[0m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m 3822\u001b[0m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m 3823\u001b[0m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n\u001b[1;32m 3824\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n", + "\u001b[0;31mKeyError\u001b[0m: 'table_csv'" + ] + } + ], + "source": [ + "data2['table_csv']\n" + ] + }, + { + "cell_type": "code", + "execution_count": 401, + "id": "bfda358a-e682-4ddb-84c4-008cc76fc6ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Column(['2-1570274-4.html.csv', '2-1570274-4.html.csv', '2-1570274-4.html.csv', '2-1570274-4.html.csv', '2-1570274-4.html.csv'])" + ] + }, + "execution_count": 401, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data['table_csv']" + ] + }, + { + "cell_type": "code", + "execution_count": 403, + "id": "6e332d38-3ed8-43ce-9b9b-c5f6a01a5164", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Column(['tony lema be in the top 5 for the master tournament , the us open , and the open championship', 'tournament that tony lema have participate in include the master tournament , the us open , the pga championship and the open championship', 'the only tournament that tony lema win in be the open championship', 'tony lema do not win in the us open', 'tony lema make it to the top 10 in the pga championship , but do not continue on'])" + ] + }, + "execution_count": 403, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data['statement']" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "f8963581-9edb-4690-b328-bdbf9b2c9671", + "metadata": {}, + "outputs": [], + "source": [ + "from datasets import load_from_disk,Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1f64a9fe-e6fa-47fb-baf5-ef8249c7e2b5", + "metadata": {}, + "outputs": [], + "source": [ + "data = load_from_disk('tab_fact_test_semtab_xml_ablation_new')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "75457eb2-42f0-4d65-9edb-9bfe80d778da", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 410, + "id": "b09efe47-2391-423d-b29d-da4039f057fa", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1695" + ] + }, + "execution_count": 410, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "arr = [ i for i in data['table_csv']]\n", + "len(set(arr))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "e74a1bf1-aa10-48ff-ab8a-de42c48e0e3f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 28516.71 examples/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50', 'semtab_xml_attributes_top1_tresh50_answ', 'semtab_xml_attributes_top1_tresh50_label', 'semtab_xml_attributes_top1_tresh50_answ_correct', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_exampples_description_top1_tresh50_label', 'semtab_xml_elements_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_description_top1_tresh50_answ', 'semtab_xml_elements_description_top1_tresh50_label', 'semtab_xml_elements_description_top1_tresh50_answ_correct', 'semtab_xml_elements_top1_tresh50_answ', 'semtab_xml_elements_top1_tresh50_label', 'semtab_xml_elements_top1_tresh50_answ_correct'],\n", + " num_rows: 12779\n", + "})" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.filter(lambda x: x['semtab_xml_elements_top1_tresh50'] != 'None',num_proc=17)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bd0c3705-8d93-4976-a3b8-c3f99ef53e81", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'
res
record
opponent
method
event
round
time
location
'" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data[3434]['semtab_xml_elements_top1_tresh50']" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "6e16a6cf-2323-4887-bf87-c807fa33c443", + "metadata": {}, + "outputs": [], + "source": [ + "data1 = load_from_disk(\"tab_fact_test_semtab_xml_ablation_new\")\n", + "data_continue = load_from_disk(\"tab_fact_test_semtab_xml_ablation_new_continue\")" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "282041da-8bd6-4b2c-a1e4-977cc86cbc43", + "metadata": {}, + "outputs": [], + "source": [ + "from utils.utils import load_config\n" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "5a710b5d-df4a-44d1-83b6-e5c308812b0a", + "metadata": {}, + "outputs": [], + "source": [ + "config = load_config('semtab_xml_config_answer2.yaml')\n", + "conf_continue = load_config('semtab_xml_config_answer2_continue.yaml')" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "31dff60e-5038-4d16-a1c2-c87462861726", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['semtab_xml_attributes_top1_tresh50',\n", + " 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_description_top1_tresh50',\n", + " 'semtab_xml_elements_top1_tresh50']" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tests_continue = list(conf_continue.keys())\n", + "tests_continue" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "62e5e664-e6ba-4adb-b9e7-8c3f62ea9ed6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_attributes_exampples_description_top1_tresh50',\n", + " 'semtab_xml_attributes_description_top1_tresh50',\n", + " 'semtab_xml_attributes_top1_tresh50',\n", + " 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_description_top1_tresh50',\n", + " 'semtab_xml_elements_top1_tresh50']" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tests = list(config.keys())\n", + "tests" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "b42b383d-89f8-47e0-8629-048615b6d3b7", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 6/6 [00:00<00:00, 141.79it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "semtab_xml_attributes_top1_tresh50\n", + "semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50\n", + "semtab_xml_elements_datatype_exampples_description_top1_tresh50\n", + "semtab_xml_elements_exampples_description_top1_tresh50\n", + "semtab_xml_elements_description_top1_tresh50\n", + "semtab_xml_elements_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "from tqdm import tqdm\n", + "# 'semtab_xml_elements_top1_tresh50_answ', 'semtab_xml_elements_top1_tresh50_label', 'semtab_xml_elements_top1_tresh50_answ_correct'\n", + "ddata1 = data1.to_dict()\n", + "for expr in tqdm(tests_continue):\n", + " print(expr)\n", + " ddata1[f'{expr}_answ'] = data_continue[f'{expr}_answ']\n", + " ddata1[f'{expr}_label'] = data_continue[f'{expr}_label']\n", + " ddata1[f'{expr}_answ_correct'] = data_continue[f'{expr}_answ_correct']\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "f6f22517-27ea-49a9-b621-3f424cbc134a", + "metadata": {}, + "outputs": [], + "source": [ + "data1 = Dataset.from_dict(ddata1)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "2927e408-3464-4db1-950e-e1857adfcdd8", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving the dataset (1/1 shards): 100%|██████████| 12779/12779 [00:00<00:00, 39481.09 examples/s]\n" + ] + } + ], + "source": [ + "data1.save_to_disk('tab_fact_test_semtab_xml_ablation_new')" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "bb0bff92-77c6-4e70-af17-363285628c8b", + "metadata": {}, + "outputs": [], + "source": [ + "data = data1" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "cc621610-53b6-45f2-8d17-48f98e7228e8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 790.00 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2531/2531 [00:16<00:00, 152.42 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2531/2531 [00:16<00:00, 152.10 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 768.34 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "54.1982940762188\n", + "different 0.0\n", + "semtab_xml_attributes_datatype_exampples_description_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 764.43 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2398/2398 [00:16<00:00, 143.54 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2398/2398 [00:16<00:00, 141.34 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 765.33 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "55.176461381954766\n", + "different 0.9781673057359654\n", + "semtab_xml_attributes_exampples_description_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 761.22 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2294/2294 [00:16<00:00, 136.85 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2294/2294 [00:17<00:00, 134.80 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 721.67 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "54.605211675404966\n", + "different -0.5712497065497999\n", + "semtab_xml_attributes_description_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 743.33 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3003/3003 [00:16<00:00, 176.87 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3003/3003 [00:16<00:00, 177.09 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 762.00 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "46.77987322951718\n", + "different -7.8253384458877875\n", + "semtab_xml_attributes_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 756.32 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3171/3171 [00:16<00:00, 187.26 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3171/3171 [00:17<00:00, 185.03 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 755.26 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "46.47468503012755\n", + "different -0.30518819938962594\n", + "semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 753.86 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2806/2806 [00:16<00:00, 165.42 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2806/2806 [00:17<00:00, 164.73 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 731.47 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "52.60192503325769\n", + "different 6.12724000313014\n", + "semtab_xml_elements_datatype_exampples_description_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 755.90 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2564/2564 [00:16<00:00, 151.82 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2564/2564 [00:17<00:00, 150.31 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 761.45 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "52.41411691055639\n", + "different -0.18780812270130554\n", + "semtab_xml_elements_exampples_description_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 753.56 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2355/2355 [00:17<00:00, 138.19 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2355/2355 [00:16<00:00, 139.22 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 746.98 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "51.529853666171064\n", + "different -0.8842632443853233\n", + "semtab_xml_elements_description_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 752.53 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3338/3338 [00:17<00:00, 196.32 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3338/3338 [00:16<00:00, 196.47 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 754.09 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "43.13326551373347\n", + "different -8.396588152437594\n", + "semtab_xml_elements_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 750.45 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3357/3357 [00:16<00:00, 197.83 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3357/3357 [00:17<00:00, 196.06 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 750.14 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "43.61843649737851\n", + "different 0.4851709836450411\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "acc_old = None\n", + "for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = process_data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " #print(dd.shape[0]/data.shape[0]*100)\n", + " #print(dd.shape[0]/process_data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " #print(true.shape[0]/process_data.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " print(acc)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "90c71978-7204-4c6c-9df2-7d5986f8f4fc", + "id": "fe25e190-2a42-49e3-a318-eee0b8b046f7", "metadata": {}, "outputs": [], "source": [] From 2d4ca15f773e21489013e75a8dde85908ce682d5 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Wed, 4 Feb 2026 09:54:58 +0800 Subject: [PATCH 02/31] =?UTF-8?q?=D0=94=D0=BE=D0=B1=D0=B0=D0=B2=D0=BB?= =?UTF-8?q?=D0=B5=D0=BD=D0=BE=20=D0=BF=D1=80=D0=B8=D0=BB=D0=BE=D0=B6=D0=B5?= =?UTF-8?q?=D0=BD=D0=B8=D0=B5=20=D0=B4=D0=BB=D1=8F=20=D1=80=D0=B0=D0=B7?= =?UTF-8?q?=D0=BC=D0=B5=D1=82=D0=BA=D0=B8=20=D1=82=D0=B0=D0=B1=D0=BB=D0=B8?= =?UTF-8?q?=D1=86?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- table_marker_app/README.md | 3 + table_marker_app/table_annotation_config.yaml | 7 + table_marker_app/table_mark_app.py | 419 ++++++++++++++++++ 3 files changed, 429 insertions(+) create mode 100644 table_marker_app/README.md create mode 100644 table_marker_app/table_annotation_config.yaml create mode 100644 table_marker_app/table_mark_app.py diff --git a/table_marker_app/README.md b/table_marker_app/README.md new file mode 100644 index 0000000..3ab902f --- /dev/null +++ b/table_marker_app/README.md @@ -0,0 +1,3 @@ +Запуск + +streamlit run table_mark_app.py \ No newline at end of file diff --git a/table_marker_app/table_annotation_config.yaml b/table_marker_app/table_annotation_config.yaml new file mode 100644 index 0000000..baacf01 --- /dev/null +++ b/table_marker_app/table_annotation_config.yaml @@ -0,0 +1,7 @@ +autosave: true +autosave_interval: 5 +dataset_path: ../tests/tabfact_test_tables +default_start_index: 0 +hotkeys_enabled: true +results_file: ../tests/tab_fact_test_mark.csv +show_debug_info: false diff --git a/table_marker_app/table_mark_app.py b/table_marker_app/table_mark_app.py new file mode 100644 index 0000000..4749dc3 --- /dev/null +++ b/table_marker_app/table_mark_app.py @@ -0,0 +1,419 @@ +import streamlit as st +import pandas as pd +import numpy as np +from datasets import load_from_disk +import os +from io import StringIO + +# Минималистичная конфигурация страницы +st.set_page_config( + page_title="Разметка таблиц", + page_icon="📊", + layout="wide", + initial_sidebar_state="collapsed" +) + +# Константы для разметки +COLUMN_NAMES_MAPPING = {"Да": 1, "Нет": 0, "Схематичные": 2} +DESCRIPTION_MAPPING = {"Объемное": 2, "Нет": 0, "Скудное": 1} + +def load_dataset(path="dataset"): + """Минимальная загрузка датасета""" + if not os.path.exists(path): + return None + return load_from_disk(path) + +def load_or_create_results(path="results.csv"): + """Загрузка или создание результатов""" + if os.path.exists(path): + df = pd.read_csv(path) + if 'table_id' not in df.columns: + df['table_id'] = '' + if 'mark_columns' not in df.columns: + df['mark_columns'] = np.nan + if 'mark_description' not in df.columns: + df['mark_description'] = np.nan + return df + return pd.DataFrame(columns=['table_id', 'mark_columns', 'mark_description']) + +def save_results(df, path="results.csv"): + """Сохранение результатов""" + df.to_csv(path, index=False) + return True + +def parse_table(text): + """Парсинг таблицы с разделителем #""" + try: + return pd.read_csv(StringIO(text), sep='#', dtype=str, engine='python') + except: + # Альтернативный способ + lines = text.strip().split('\n') + if lines: + return pd.DataFrame([line.split('#') for line in lines]) + return pd.DataFrame() + +def save_current_annotation(results_df, table_id, col_value, desc_value, results_path): + """Сохраняет текущую аннотацию в DataFrame и файл""" + if 'table_id' not in results_df.columns: + results_df['table_id'] = '' + results_df['mark_columns'] = np.nan + results_df['mark_description'] = np.nan + + mask = results_df['table_id'] == table_id + if mask.any(): + idx = results_df.index[mask].tolist()[0] + if col_value is not None: + results_df.at[idx, 'mark_columns'] = col_value + if desc_value is not None: + results_df.at[idx, 'mark_description'] = desc_value + else: + results_df = pd.concat([results_df, pd.DataFrame([{ + 'table_id': table_id, + 'mark_columns': col_value, + 'mark_description': desc_value + }])], ignore_index=True) + + save_results(results_df, results_path) + return results_df + +def main(): + # Минимальный заголовок + st.title("📊 Разметка таблиц") + + # Настройки в компактном виде + with st.expander("Настройки", expanded=False): + col1, col2 = st.columns(2) + with col1: + dataset_path = st.text_input("Путь к датасету", "dataset") + with col2: + results_path = st.text_input("Файл результатов", "results.csv") + + if st.button("Загрузить", type="primary"): + st.rerun() + + # Загрузка данных + dataset = load_dataset(dataset_path) + if dataset is None: + st.error(f"Датасет не найден: {dataset_path}") + st.info("Создайте папку 'dataset' или укажите путь в настройках") + return + + results_df = load_or_create_results(results_path) + + # Инициализация состояния + if 'current_index' not in st.session_state: + st.session_state.current_index = 0 + if 'total_tables' not in st.session_state: + st.session_state.total_tables = len(dataset) + + # Функции навигации с сохранением + def go_prev(): + """Переход к предыдущей таблице с сохранением""" + current_idx = st.session_state.current_index + record = dataset[current_idx] + table_id = f"{current_idx}_{record['table']}" + + # Сохраняем текущие значения если они есть + current_cols = st.session_state.get(f"current_cols_{current_idx}") + current_desc = st.session_state.get(f"current_desc_{current_idx}") + + if current_cols is not None or current_desc is not None: + results_df = load_or_create_results(results_path) + save_current_annotation(results_df, table_id, current_cols, current_desc, results_path) + + # Переходим к предыдущей + st.session_state.current_index = max(0, current_idx - 1) + st.rerun() + + def go_next(): + """Переход к следующей таблице с сохранением""" + current_idx = st.session_state.current_index + record = dataset[current_idx] + table_id = f"{current_idx}_{record['table']}" + + # Сохраняем текущие значения если они есть + current_cols = st.session_state.get(f"current_cols_{current_idx}") + current_desc = st.session_state.get(f"current_desc_{current_idx}") + + if current_cols is not None or current_desc is not None: + results_df = load_or_create_results(results_path) + save_current_annotation(results_df, table_id, current_cols, current_desc, results_path) + + # Переходим к следующей + st.session_state.current_index = min(st.session_state.total_tables - 1, current_idx + 1) + st.rerun() + + def go_to_table(target_idx_input): + """Переход к указанной таблице с сохранением""" + current_idx = st.session_state.current_index + target_idx = target_idx_input - 1 # Пользователь вводит начиная с 1 + + if target_idx != current_idx and 0 <= target_idx < st.session_state.total_tables: + # Сохраняем текущие значения + record = dataset[current_idx] + table_id = f"{current_idx}_{record['table']}" + + current_cols = st.session_state.get(f"current_cols_{current_idx}") + current_desc = st.session_state.get(f"current_desc_{current_idx}") + + if current_cols is not None or current_desc is not None: + results_df = load_or_create_results(results_path) + save_current_annotation(results_df, table_id, current_cols, current_desc, results_path) + + # Переходим к целевой таблице + st.session_state.current_index = target_idx + st.rerun() + + # Компактная панель навигации + col1, col2, col3, col4 = st.columns([1, 2, 1, 2]) + + with col1: + if st.button("←", use_container_width=True, key="prev_btn"): + go_prev() + + with col2: + # Создаем состояние для целевого индекса + if 'target_index_input' not in st.session_state: + st.session_state.target_index_input = st.session_state.current_index + 1 + + # Поле ввода номера таблицы + target_index = st.number_input( + "Таблица", + min_value=1, + max_value=st.session_state.total_tables, + value=st.session_state.current_index + 1, + step=1, + label_visibility="collapsed", + key="table_input" + ) + + # Проверяем, изменилось ли значение + if target_index != st.session_state.target_index_input: + st.session_state.target_index_input = target_index + go_to_table(target_index) + + with col3: + if st.button("→", use_container_width=True, key="next_btn"): + go_next() + + with col4: + # Отображаем актуальный прогресс + current_idx = st.session_state.current_index + progress_text = f"Прогресс: {current_idx + 1}/{st.session_state.total_tables}" + st.caption(progress_text) + + # Текущая запись + current_idx = st.session_state.current_index + record = dataset[current_idx] + table_id = f"{current_idx}_{record['table']}" + + # Получение текущей разметки из файла + saved_mark = {'columns': None, 'description': None} + if 'table_id' in results_df.columns and not results_df.empty: + match = results_df[results_df['table_id'] == table_id] + if not match.empty: + saved_mark['columns'] = match.iloc[0]['mark_columns'] + saved_mark['description'] = match.iloc[0]['mark_description'] + + # Инициализация текущих значений в session_state + if f"current_cols_{current_idx}" not in st.session_state: + st.session_state[f"current_cols_{current_idx}"] = saved_mark['columns'] + + if f"current_desc_{current_idx}" not in st.session_state: + st.session_state[f"current_desc_{current_idx}"] = saved_mark['description'] + + # Получаем текущие значения + current_cols = st.session_state[f"current_cols_{current_idx}"] + current_desc = st.session_state[f"current_desc_{current_idx}"] + + # Основное содержание - две колонки + col_left, col_right = st.columns([7, 3]) + + with col_left: + # Таблица и ее описание + st.subheader("Таблица") + + # Отображаем описание таблицы (если есть) прямо под заголовком + if record.get('table_descr') and str(record['table_descr']).strip(): + # Создаем контейнер для описания с темным фоном и светлым текстом + description_html = f""" +
+ 📝 Описание таблицы:
+
+ {record['table_descr']} +
+
+ """ + st.markdown(description_html, unsafe_allow_html=True) + else: + # Если описания нет, показываем серую плашку + st.markdown( + """ +
+ Описание таблицы: отсутствует +
+ """, + unsafe_allow_html=True + ) + + # Сама таблица + table_df = parse_table(record['table_text']) + if not table_df.empty: + height = min(400, 35 * len(table_df) + 50) + st.dataframe(table_df, use_container_width=True, height=height) + else: + st.warning("Таблица не распознана") + preview = record['table_text'][:500] + "..." if len(record['table_text']) > 500 else record['table_text'] + st.code(preview) + + with col_right: + # Разметка + st.subheader("Разметка") + + # Названия столбцов + st.markdown("**Названия столбцов:**") + col_btn1, col_btn2, col_btn3 = st.columns(3) + + with col_btn1: + col_0_pressed = st.button("Нет", key=f"col_0_{current_idx}", use_container_width=True, + type="primary" if current_cols == 0 else "secondary") + if col_0_pressed: + st.session_state[f"current_cols_{current_idx}"] = 0 + results_df = load_or_create_results(results_path) + save_current_annotation(results_df, table_id, 0, current_desc, results_path) + st.rerun() + + with col_btn2: + col_1_pressed = st.button("Да", key=f"col_1_{current_idx}", use_container_width=True, + type="primary" if current_cols == 1 else "secondary") + if col_1_pressed: + st.session_state[f"current_cols_{current_idx}"] = 1 + results_df = load_or_create_results(results_path) + save_current_annotation(results_df, table_id, 1, current_desc, results_path) + st.rerun() + + with col_btn3: + col_2_pressed = st.button("Схем.", key=f"col_2_{current_idx}", use_container_width=True, + type="primary" if current_cols == 2 else "secondary") + if col_2_pressed: + st.session_state[f"current_cols_{current_idx}"] = 2 + results_df = load_or_create_results(results_path) + save_current_annotation(results_df, table_id, 2, current_desc, results_path) + st.rerun() + + # Описание таблицы (для разметки) + st.markdown("**Описание таблицы:**") + desc_btn1, desc_btn2, desc_btn3 = st.columns(3) + + with desc_btn1: + desc_0_pressed = st.button("Нет", key=f"desc_0_{current_idx}", use_container_width=True, + type="primary" if current_desc == 0 else "secondary") + if desc_0_pressed: + st.session_state[f"current_desc_{current_idx}"] = 0 + results_df = load_or_create_results(results_path) + save_current_annotation(results_df, table_id, current_cols, 0, results_path) + st.rerun() + + with desc_btn2: + desc_1_pressed = st.button("Скуд.", key=f"desc_1_{current_idx}", use_container_width=True, + type="primary" if current_desc == 1 else "secondary") + if desc_1_pressed: + st.session_state[f"current_desc_{current_idx}"] = 1 + results_df = load_or_create_results(results_path) + save_current_annotation(results_df, table_id, current_cols, 1, results_path) + st.rerun() + + with desc_btn3: + desc_2_pressed = st.button("Объем.", key=f"desc_2_{current_idx}", use_container_width=True, + type="primary" if current_desc == 2 else "secondary") + if desc_2_pressed: + st.session_state[f"current_desc_{current_idx}"] = 2 + results_df = load_or_create_results(results_path) + save_current_annotation(results_df, table_id, current_cols, 2, results_path) + st.rerun() + + # Показываем текущие значения разметки + st.markdown("---") + if current_cols is not None: + status_text = {0: "Нет", 1: "Да", 2: "Схематичные"}.get(current_cols, "Не выбрано") + st.info(f"**Столбцы:** {status_text}") + else: + st.warning("**Столбцы:** не размечены") + + if current_desc is not None: + status_text = {0: "Нет", 1: "Скудное", 2: "Объемное"}.get(current_desc, "Не выбрано") + st.info(f"**Описание:** {status_text}") + else: + st.warning("**Описание:** не размечено") + + # Статистика + st.markdown("---") + marked_count = results_df['mark_columns'].notna().sum() + st.caption(f"Всего размечено: {marked_count}/{st.session_state.total_tables}") + + # Кнопка сохранения (для перестраховки) + if st.button("💾 Сохранить", use_container_width=True, type="primary", key="save_btn"): + results_df = load_or_create_results(results_path) + save_current_annotation(results_df, table_id, current_cols, current_desc, results_path) + st.success("✓ Сохранено!") + st.rerun() + + # Скачивание результатов + if not results_df.empty: + csv = results_df.to_csv(index=False).encode('utf-8') + st.download_button( + label="📥 Скачать CSV", + data=csv, + file_name="results.csv", + mime="text/csv", + use_container_width=True, + key="download_btn" + ) + + # Горячие клавиши + js = """ + + """ + st.components.v1.html(js, height=0) + +if __name__ == "__main__": + main() \ No newline at end of file From 64bd18256565c3f12d4ab4ab8c61dcadb7cf288a Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Wed, 4 Feb 2026 17:58:17 +0800 Subject: [PATCH 03/31] =?UTF-8?q?=D0=94=D0=BE=D0=B1=D0=B0=D0=B2=D0=BB?= =?UTF-8?q?=D0=B5=D0=BD=D1=8B=20=D0=B7=D0=B0=D0=B2=D0=B8=D1=81=D0=B8=D0=BC?= =?UTF-8?q?=D0=BE=D1=81=D1=82=D0=B8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- table_marker_app/requirements.txt | 62 +++++++++++++++++++++++++++++++ 1 file changed, 62 insertions(+) create mode 100644 table_marker_app/requirements.txt diff --git a/table_marker_app/requirements.txt b/table_marker_app/requirements.txt new file mode 100644 index 0000000..080504c --- /dev/null +++ b/table_marker_app/requirements.txt @@ -0,0 +1,62 @@ +aiohappyeyeballs==2.6.1 +aiohttp==3.13.3 +aiosignal==1.4.0 +altair==6.0.0 +anyio==4.12.1 +async-timeout==5.0.1 +attrs==25.4.0 +blinker==1.9.0 +cachetools==6.2.6 +certifi==2026.1.4 +charset-normalizer==3.4.4 +click==8.3.1 +datasets==4.5.0 +dill==0.4.0 +exceptiongroup==1.3.1 +filelock==3.20.3 +frozenlist==1.8.0 +fsspec==2025.10.0 +gitdb==4.0.12 +GitPython==3.1.46 +h11==0.16.0 +hf-xet==1.2.0 +httpcore==1.0.9 +httpx==0.28.1 +huggingface_hub==1.3.7 +idna==3.11 +Jinja2==3.1.6 +jsonschema==4.26.0 +jsonschema-specifications==2025.9.1 +MarkupSafe==3.0.3 +multidict==6.7.1 +multiprocess==0.70.18 +narwhals==2.16.0 +numpy==2.2.6 +packaging==26.0 +pandas==2.3.3 +pillow==12.1.0 +propcache==0.4.1 +protobuf==6.33.5 +pyarrow==23.0.0 +pydeck==0.9.1 +python-dateutil==2.9.0.post0 +pytz==2025.2 +PyYAML==6.0.3 +referencing==0.37.0 +requests==2.32.5 +rpds-py==0.30.0 +shellingham==1.5.4 +six==1.17.0 +smmap==5.0.2 +streamlit==1.53.1 +tenacity==9.1.2 +toml==0.10.2 +tornado==6.5.4 +tqdm==4.67.2 +typer-slim==0.21.1 +typing_extensions==4.15.0 +tzdata==2025.3 +urllib3==2.6.3 +watchdog==6.0.0 +xxhash==3.6.0 +yarl==1.22.0 From 2d58d39f1f0c438b0ec91efce7d30f0dffd9e805 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Sat, 28 Mar 2026 14:03:19 +0800 Subject: [PATCH 04/31] add defgen and cossim column annotation --- utils/cossim/cossim.py | 183 ++++++++++++++++++ .../.ipynb_checkpoints/__init__-checkpoint.py | 1 + .../.ipynb_checkpoints/defgen-checkpoint.py | 47 +++++ .../.ipynb_checkpoints/prompts-checkpoint.py | 67 +++++++ utils/defgen/__init__.py | 1 + .../__pycache__/__init__.cpython-310.pyc | Bin 0 -> 221 bytes .../defgen/__pycache__/defgen.cpython-310.pyc | Bin 0 -> 2021 bytes utils/defgen/defgen.py | 47 +++++ utils/defgen/df.parquet.gzip | Bin 0 -> 291431 bytes utils/defgen/df_pantabfact_train.parquet.gzip | Bin 0 -> 6961949 bytes utils/defgen/prompts.py | 67 +++++++ utils/doduo/doduo.py | 2 +- utils/utils.py | 21 +- 13 files changed, 426 insertions(+), 10 deletions(-) create mode 100644 utils/cossim/cossim.py create mode 100644 utils/defgen/.ipynb_checkpoints/__init__-checkpoint.py create mode 100644 utils/defgen/.ipynb_checkpoints/defgen-checkpoint.py create mode 100644 utils/defgen/.ipynb_checkpoints/prompts-checkpoint.py create mode 100644 utils/defgen/__init__.py create mode 100644 utils/defgen/__pycache__/__init__.cpython-310.pyc create mode 100644 utils/defgen/__pycache__/defgen.cpython-310.pyc create mode 100644 utils/defgen/defgen.py create mode 100644 utils/defgen/df.parquet.gzip create mode 100644 utils/defgen/df_pantabfact_train.parquet.gzip create mode 100644 utils/defgen/prompts.py diff --git a/utils/cossim/cossim.py b/utils/cossim/cossim.py new file mode 100644 index 0000000..9120055 --- /dev/null +++ b/utils/cossim/cossim.py @@ -0,0 +1,183 @@ +import torch +import faiss +import numpy as np +from transformers import AutoModel, AutoTokenizer +from typing import List, Dict, Tuple, Optional +import re +import pandas as pd + +class Qwen3EmbeddingMatcher: + """ + Поиск определений по косинусному сходству с использованием: + - Qwen3 Embedding для получения векторов + - FAISS для хранения и быстрого поиска + """ + + def __init__( + self, + definitions: List[str] = None, + index_name: str = None, + cossim_model_name: str = "Qwen/Qwen3-Embedding-0.6B", # Можно также 4B или 8B + device: Optional[str] = None, + use_faiss_ip: bool = True,# True = косинусное сходство (Inner Product на нормализованных векторах) + **kwargs + ): + """ + Args: + definitions: список определений + cossim_model_name: название модели Qwen3 Embedding + device: 'cuda' или 'cpu' (auto-detect если None) + use_faiss_ip: использовать IndexFlatIP (косинусное сходство) или IndexFlatL2 + + """ + + self.definitions = definitions + self.device = device or ('cuda' if torch.cuda.is_available() else 'cpu') + + print(f"Загрузка модели {cossim_model_name} на {self.device}...") + self.tokenizer = AutoTokenizer.from_pretrained(cossim_model_name, trust_remote_code=True) + self.model = AutoModel.from_pretrained( + cossim_model_name, + trust_remote_code=True + ).to(self.device) + self.model.eval() + + # Получаем размерность эмбеддингов + self.embedding_dim = self.model.config.hidden_size + print(f"Размерность эмбеддингов: {self.embedding_dim}") + if index_name != None: + self.load_index(index_name) + elif self.definitions != None: + + # Создаем FAISS индекс + if use_faiss_ip: + # IndexFlatIP = Inner Product = косинусное сходство для нормализованных векторов + self.index = faiss.IndexFlatIP(self.embedding_dim) + else: + # IndexFlatL2 = Евклидово расстояние + self.index = faiss.IndexFlatL2(self.embedding_dim) + + # Индекс для быстрого доступа к оригинальным определениям + self.index_to_def = {i: def_text for i, def_text in enumerate(definitions)} + + # Создаем эмбеддинги для всех определений + self._build_index() + else: + raise ValueError('definitions or index files not found') + + def _preprocess_text(self, text: str) -> str: + """Предобработка текста (опционально)""" + # Удаляем лишние пробелы + text = re.sub(r'\s+', ' ', text.strip()) + return text + + @torch.no_grad() + def encode(self, texts: List[str]) -> np.ndarray: + """ + Получение эмбеддингов через Qwen3 Embedding + + Args: + texts: список текстов + + Returns: + numpy array с эмбеддингами + """ + # Токенизация + inputs = self.tokenizer( + texts, + padding=True, + truncation=True, + max_length=512, # Можно увеличить до 32768 + return_tensors="pt" + ).to(self.device) + + # Получение эмбеддингов + outputs = self.model(**inputs) + + # Qwen3 Embedding использует последний скрытый состояние для [EOS] токена + # как семантическое представление [citation:1] + embeddings = outputs.last_hidden_state[:, -1, :].cpu().numpy() + + # Нормализация для косинусного сходства + faiss.normalize_L2(embeddings) + + return embeddings + + def _build_index(self): + """Создание FAISS индекса из определений""" + print("Создание эмбеддингов для определений...") + + # Обрабатываем определения батчами для экономии памяти + batch_size = 1 + all_embeddings = [] + + for i in range(0, len(self.definitions), batch_size): + batch_defs = self.definitions[i:i+batch_size] + batch_embeddings = self.encode(batch_defs) + all_embeddings.append(batch_embeddings) + print(f"Обработано {min(i+batch_size, len(self.definitions))}/{len(self.definitions)}") + + # Объединяем все эмбеддинги + embeddings = np.vstack(all_embeddings) + + # Добавляем в FAISS индекс + self.index.add(embeddings.astype(np.float32)) + print(f"Индекс создан. Всего векторов: {self.index.ntotal}") + + def find_similar( + self, + query: str, + top_k: int = 5, + threshold: float = 0.0 + ) -> List[Dict]: + """ + Поиск наиболее похожих определений + + Args: + query: поисковый запрос (новый термин) + top_k: количество результатов + threshold: минимальный порог сходства + + Returns: + список словарей с результатами + """ + # Получаем эмбеддинг запроса + query_embedding = self.encode([query]) + + # Поиск в FAISS + similarities, indices = self.index.search( + query_embedding.astype(np.float32), + top_k + ) + + # Форматирование результатов + results = [] + for sim, idx in zip(similarities[0], indices[0]): + if idx != -1 and sim >= threshold: + results.append({ + 'index': int(idx), + 'definition': self.index_to_def[idx], + 'similarity': float(sim) + }) + + return results + + def save_index(self, path: str): + """Сохранение FAISS индекса""" + faiss.write_index(self.index, f"{path}.faiss") + # Сохраняем также определения + np.save(f"{path}_defs.npy", self.definitions) + print(f"Индекс сохранён в {path}.faiss") + + def load_index(self, path: str): + """Загрузка FAISS индекса""" + self.index = faiss.read_index(f"{path}.faiss") + self.definitions = np.load(f"{path}_defs.npy", allow_pickle=True).tolist() + self.index_to_def = {i: def_text for i, def_text in enumerate(self.definitions)} + print(f"Индекс загружен. Всего векторов: {self.index.ntotal}") + + def annotate_columns(self, df: pd.DataFrame, top_k: int= 1, threshold: float = 0.5,add_data = None)-> List[List[Tuple[str,float]]]: + + return [[(res['definition'],round(res['similarity'],4)) + for res in self.find_similar(col_name,top_k=top_k,threshold=threshold)] + for col_name in df.columns] \ No newline at end of file diff --git a/utils/defgen/.ipynb_checkpoints/__init__-checkpoint.py b/utils/defgen/.ipynb_checkpoints/__init__-checkpoint.py new file mode 100644 index 0000000..2283f1f --- /dev/null +++ b/utils/defgen/.ipynb_checkpoints/__init__-checkpoint.py @@ -0,0 +1 @@ +from .defgen import * \ No newline at end of file diff --git a/utils/defgen/.ipynb_checkpoints/defgen-checkpoint.py b/utils/defgen/.ipynb_checkpoints/defgen-checkpoint.py new file mode 100644 index 0000000..8d4b5bb --- /dev/null +++ b/utils/defgen/.ipynb_checkpoints/defgen-checkpoint.py @@ -0,0 +1,47 @@ +import pandas as pd +import json + +from typing import List, Dict, Tuple, Optional +import re +class ColumnDefGenerator: + """ + + """ + + def __init__( + self, + ): + """ + Args: + + """ + pass + + + def _get_table_columns_defenitions(self,table_name: str): + if table_name == None: + return None + table_def = pd.read_parquet("/home/poddubny/notebooks/poddubnyy/postgraduate/semtab_serializer/utils/defgen/df_pantabfact_train.parquet.gzip") + return json.loads(table_def[table_def['table_csv']==table_name]['column_defenition_json'].to_list()[0]) + + def annotate_columns(self, df: pd.DataFrame, top_k: int= 1, threshold: float = 0.5, add_data = None)-> List[List[Tuple[str,float]]]: + if add_data != None: + col_def = self._get_table_columns_defenitions(add_data.get('table_csv', None)) + + # Создаем новый словарь с нормализованными ключами + normalized_col_def = {} + for key, value in col_def.items(): + normalized_key = re.sub(' ', '', key).lower() + normalized_col_def[normalized_key] = value + # Сохраняем и оригинальный ключ, если нужно + normalized_col_def[key] = value + + return [[(normalized_col_def.get(re.sub(' ', '', col_name).lower(), ''), None)] + for col_name in df.columns] + else: + #print('!'*50) + return [[(None, None)] + for col_name in df.columns] + + + diff --git a/utils/defgen/.ipynb_checkpoints/prompts-checkpoint.py b/utils/defgen/.ipynb_checkpoints/prompts-checkpoint.py new file mode 100644 index 0000000..0daa03e --- /dev/null +++ b/utils/defgen/.ipynb_checkpoints/prompts-checkpoint.py @@ -0,0 +1,67 @@ +system_prompt = '''You're an expert linguist. You are provided with a table schema with a description in XML format. +Your task is to analyze the tabular context and, based on the information received, give a brief but semantically succinct definition for each HEADER, +its format features (how to interpret signs, abbreviations, or complex strings, such as "A - B"). +If there are units of measurement in the EXAMPLES, then include them in the answer. + +The output must be in json in the dictionary format {
:
}. + +###################### +-Examples- +###################### +Example 1: + +
+
+
+
+
+
+###################### +Output: +{ +"planet": "The proper name of a celestial body in the Solar system, presented in text format.", +"type": "Classification of a planet by its physical and chemical composition (for example, 'terrestrial' — rocky or 'gas giant' — gas giant).", +"moons": "Quantitative indicator indicating the total number of confirmed natural satellites of the planet (integer).", +"diameter_km""The equatorial diameter of a celestial body, expressed in numerical terms. Unit of measurement: kilometers (km).", +"gravity_ms2": "Acceleration of gravity on the surface of the planet. Unit of measurement: meters per second squared ($$m/s^2$$)." +} +###################### +Example 2: + +
+
+
+###################### +Output: +{ + "title": "The official name of a literary work, written in text form.", + "author": "The first and last name of the author (creator) of the work, presented as a string." +} +###################### +Example 3: + +
+
+
+
+
+
+###################### +Output: +{ + "model": "The commercial name of a specific device, including the series name and serial number.", +"brand": "The name of the manufacturing company (brand) responsible for the release of the device.", +"screen_size": "The diagonal size of the device's display, represented as a decimal. Unit of measurement: inches.", +"ram_gb": "The amount of RAM available for the system and applications. Unit of measurement: gigabytes (GB).", +"battery_mah": "The electrical capacity of the device's battery, which determines the battery life. Unit of measurement: milliampere-hours (mAh)." +} + +''' +prompt = ''' +###################### +-Real Data- +###################### +{input_text} +###################### +Output: +''' \ No newline at end of file diff --git a/utils/defgen/__init__.py b/utils/defgen/__init__.py new file mode 100644 index 0000000..2283f1f --- /dev/null +++ b/utils/defgen/__init__.py @@ -0,0 +1 @@ +from .defgen import * \ No newline at end of file diff --git a/utils/defgen/__pycache__/__init__.cpython-310.pyc b/utils/defgen/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a12f13b764cb1387ff3a8c552a24a9bfc4d43e48 GIT binary patch literal 221 zcmYjLI|{-;5Zy!(k)*Wq0K(ga!sht|oi1qfx+|3p;IS5`yN9;L(D>r(M8X+u}EGI%mheqTwY Xs3EV^s_Td8x^5vD+{98Yw$8*G(Cwmiz;Ing78rU^y!!7N~!LO*rS?*bQxkV66G>JkFds=X__5iP8xUlSD) z@&`_?HV-Cup_^|2B#|^FJz9NPkHMFvUgr1wEa(MU*bB2puR&|Ms2ANQ(v$ufk^W=W zYf8FHTESD$L%J>B`QIhRI)5kWTNgYWk5c8L2P2ylxk&pcbhWL(li93EkiCoamH`L<&AON}JB8kaE12pDYGAGIpqi z91E*DMrBs)aga?!noN}LjBS#dj#Pu8$}d0d(TR&VPx8cazJ$gz0KYN0^`i6bxtxnZ zajJMOGSx@e>yziBawsU1JSqKYLVpakmXxLPegqh(|76Qlb3PxuR5Nh;eSGh_WM^| z$K=2Twixk4uxlSOY`;jQ3$?Oio%fN#c|!}K4iKc)90Qa-Q0nQ=N-~8pQYy)e0j)to zekNrwWizrv9$o*Qorb3k>rH)pl4UsarooJyMrGp(DWfe?eZwtsbnPcHpwgGYSya-4 zaECmG1dt)jAvxyrR->zz;dV#wIP#B|hxvy_UW0Bv0vM8#JX$}cPryJ+r&yF|N#S}A z@{7(O>jrE{e_=-qUb&}l!4dr?0M;N6qUe}b&NJgZr1J-*&zWQGk6i@RR2hFx-FjZ= zta?+3d0u?MmH}epTC4Tkwa#~gGEhHZcKYCE&3ug+c22x zdBJ0(V;7aL15_Rdr$EHQFWO?=Zk=fFfW&htr{9OQ5Apciw)mpe(66E7TL3OdtjdhO zjSFuh+`-kxrG>3#o!779&P{|3+>V5lTnZ~HK@5uX4%LYZjzv0FZuLsgV7WGF6HixB zTYEkZNQ`*{AfoHk_tpR-8nc-BG`t9X#L0XAA)df7J|TSrpxau-a)*VBa~E@-6>cZq1uS}H1b#DPs3`x6}u4XlN3hdEqV>Wh4y5W List[List[Tuple[str,float]]]: + if add_data != None: + col_def = self._get_table_columns_defenitions(add_data.get('table_csv', None)) + + # Создаем новый словарь с нормализованными ключами + normalized_col_def = {} + for key, value in col_def.items(): + normalized_key = re.sub(' ', '', key).lower() + normalized_col_def[normalized_key] = value + # Сохраняем и оригинальный ключ, если нужно + normalized_col_def[key] = value + + return [[(normalized_col_def.get(re.sub(' ', '', col_name).lower(), ''), None)] + for col_name in df.columns] + else: + #print('!'*50) + return [[(None, None)] + for col_name in df.columns] + + + diff --git a/utils/defgen/df.parquet.gzip b/utils/defgen/df.parquet.gzip new file mode 100644 index 0000000000000000000000000000000000000000..4ad9b32d4581b95e549b1ca5caf045a9ef99df0f GIT binary patch literal 291431 zcmV)HK)t_EK~gal1QoiH1r@xO0ZbLX8WjK%001A02mk;800065eVt8~BS~(A=L}t~ zx<$_Oe}|uEHd;t4>FNA3izHbY#K-Anv6GDOAHV<@41fRQAOC1yb?(yk_!|HG&;R}J z|N7^@{^$Sx{{HtmW^3zfzW)6`^zZenow9oC{j0t{`2GC{yOmPv`Kl#-Rogq_tKYur z`iovmtgrR{K`*1O(tdpK_>ECZU32{WjpujGI-+iPtUgMg6aJ)jJ=psB>dy~Kn-TTL zcRio0_Sy6of1c~t_XkU_GQT2y(bOVF%fFzv*tNC%3p4Z=v%?2%>!IK`+8k^3l3%>* z_2R@=i}(GAJ&V>b?MKwP=7gsjTHdnfkHhfX*`sA|U+sN8_NiL&_Wnq*%5JOt{OQLR z=_R7VYu8!ZYH&m%MmuACrQaC6=q>u!Oe>{_TBFw=fAab+z4h(8Uhmy{tFR!kn*Q7Q zvC7^nR(zd&2U_Xp$2a};_@)vg-;Cv3shg3vX#0|t{6zZtwRHaT%C6BiUB1v>oCbTU zUEM#o;_vT^uM2r*ycvXR!Phx$z^U1xi}!vq^-X)vxk`V(lKN!S-pYjUig8vg1@><4 zwY1>%{j2sI+aILA*rUhMS?lj7r$k#_SFEO2oc^u@kJW}u*rs=Hb8dZ*4&iEkmw>OD z(awSoN|ZIVQ71iBJ)@qUx3(Nz<+H$k9W5_iv#9G7`l_cT-gys8=`sm5e^)uzHQVn8 ztI1lBRh?a%EAyEwm@ZRaRqwIhziM3ewx;XX!j@|0O>f1A;rw{0*J;qRHZThE8)MCy zulUob=M%SOyaO!pl0DK}e)W>C^J-_quQ$D+{3$-~T)Lj^{nvX7IggVac5frjDEa)X zQheaS=$5lb10y4&J7f^^8`}D`(aFiyGFt`P+Gf+?8b6-*bq%BU-rsSAEzmggYe@v9y%S~mM{7uTjqHcqw%4vN=nwKs!#o$FEt-SjQT)!#3h zeqtV-1#+&)WN^bACK-UwxOEUt{a_4(z$iW#7ho z1FU%Xsq&t;RZoL86xfu}g1-ze zk}cMCIvKf*B?E8@Y@VQDudv-)+p4|D3#(h!&dL8Sh+P`Ej^`yy$2^YSf-bU5o{mi= zw6J7*T3+umyMX~9R+;rCOO?U$^mCPLCk@1+0QmI{3q9@v)Dyb=*$dUZ+gLxp>en-P zY2=pmucZokE`Wuo+oaH@n;1kyH{igLm~ z4nHE`UjS7K4axPx&D44*(u|B-1?!?uc){+Y2yVG9Ay-9)EhCktO>AHl1W(VVa}~o_ zCI5v0!59HhOe+{`kzee-%?D7Og5`1m(3Y(*FW_n_rcszV!H9+Y1A(5m+DNw0(KeyY41j4mnvto()H5>Nd4S zp@Q6a1|t`s(|W4!enqY*T!YwTHb1Ka# zDu#QqDWy+J)+_i}JO9B20X91Ac7sH(oUxNM5Ul9PXbB-Nw{1sn`1lDv!dIyPa-OpJ zik9+$8j2g8>8hU~LpD;nl@$L9kq8pSPq+3;vnf2?fIeoI137T-?aNPt$VUKj^geL4 z1O@?}@2>Y=h4yK?(3754=5CbU0Yoi>^Ps;dSA?2BP;4~=qQ}t$C^qD?hco;-p7}2A zJ~zQ&9a^2A$lGX9P0Jy0JFfx!O|3^i{4fRv!@yg)+6KHIkNh8!NI zevX15UvN+!C^*Yrb^~-GquK=f0I3yWyBZl7Io%2yzIOCdH=+MK_a zWh2si58?7o^^|Wz4{=HpyxjB`bJ~QAPsQk&vw=PbxvtlQMmv?adUZ}GA7$UJLRF#K zT~h#4s~DwgJHUx*UCV&%=u$kgZ&&j7-3Dh*t>8vi1~z;eKpZ+dPFN8xtBxii=iO`v zZRt<8Qu0c-w8ratyRJv+86B!|OCUTFf6i22p=nwzy+z#Pxx@EigYNfk5FW^kjNKsilGW~WQ~(y&C)plNdA}WCB5jO1M$FT- zK)?_3ysJ^ROn2Y4_za-slm`Hqyi-Qp zDVSNVf^7;~mR$Jd`AUZGrJtS6g=|Hm1MOUkLSgtoNI*~vvxi4U35=Uus17y7qB`h= zc2;%u6_RL9=JwlHy-M zxf($(R&oBWv6$bF{5E2w61>U4HKQ zi!9X@Yz+WsI-xc(`2~BO3f=cRo#-k~POU8jtH$qhLP!-tR1PdEWLsy8Cjl{e$OX&TmX1oJXnCK#gA$wPy6D-= zG#N$Y4ouyUz_QpQ#0A2LuIH^B_##uu)emxNE>q}IXNTiDSA`#U#4~QS-j`Hnp`AQ;?=0 zEckKL9E|x6WT53EPkz6p+ZQrB{e{a=_ZE53Vjp2hOSBIYHMcfJ0|t z%_=Za=zw-xSEz7ZzfGLlUS}aNUv|AY!56J>>;i?aE7wj=#rGIekS4FpQ_1_wV-hSF z<_nLV5!5-Y1XX4)OJSBH@akOrg#`It24pp7=k5Imkjq9BT6gYnLG-)#7@0|BI>jN< zknUud+6ML1&`pLUs3YbDHbLJXa;HG{6Q&%*vNZidTl?Wi5vf%%=plC3Gx{B5E7l?) zsQaq7$fXjYEm>lU(99d8WS(5J7z(A2>Lmc1;wPpXO2|*1GNl-Pb8xGY(wk=0rKbtyznL z$@3GsJHBF z>m)!x?nDTbAf8@v=D=Iga-jgbnqt_ffUeu&Ldt|{co4+Zo!n;MgLUbx1u)2L>nHrQ zOi`FSlS_ZG1P3TmFxRz1j#X|{h!IM8-dV39Fvxltr)BO{-JA+sJ$##p?)BH-@KW|-8DIR zAeiNbqs;C#k=3YalAjSS%+^KGNh`aMp(@?}WaJBQ-e|vnGHXs3lc!#8?jd@w$wb6& zlBH-9Oq-6axo-IniqR1y?spsHWA-EY3JglcifiW7WEa>N7?Z^?xdfP1t4&JdF1w75 zrIo4c(eqgghajy((ra9)6rld?Blk*tgRm`xdQaaG?Q`{XfYYtzM$vpFATM$>^l|C8 z=@K8m!^&^{gcLicsQM)1^<;EXzPWF@NpAm$feu43u1#QJj44k4FC^`>R>42MeAwj0z# zfPD7E;=YW?r0TG?d<6Mv!>QJoH12YFww`-TEP{=gu9(0Fg30ri+IcY{6z7}CzVo3r zd~am(!ud0Z5Q;f8*bDUS9VVIXx-d_z19ZTq_ccxwTK7J#9*7Rv&$1U0H;zujF4Uam z3eu!@k)?Plh%eLbiKXAK;PT>`)bXiPCRYdaRagnDM`qVdyj;@LHNZ;kjHPICkoy%9 zB1XAfL=?&p4EK2*B$BO$7h(Gf5(P!@uQWxyxxiBuClIG_Z4>b6+RBUX4J9F&_ET;p zvWNLOuD?5=f*kT*qp!D^?N8DsNUI&`J$6FObNf zs1(vj+g136HQC`jH5AXfj#W_J*Jrw5JR-~Pbinz)u$YLs_L zZ$Ycqp3qRTsynu!AhgZcIYFH<-z?0`sdS|gy76?{gg@vu#n`7(0NU(YAX1;s^mlOE zE6ix7ESQPHilb}InJ2+9JLk+ai;K5IW$L&nT?f2MDW~Q5La}V=)QI82 z%N_1M6WFpZlEefy`y(>7uq+-aw}j4> zlij*`_fpUcu(ngMWIg7n0HX!;dZUcxHX-O%{r>d=-V2iBQ4D06Jy>U8`rU1uIV29n z>7;L9Zug3k!&q0DyskBi);y|N+39La-Dpe!hb$!00Srkg26J(0Q8%_A>6Y^Y`JG3l zq(bg`?m^K*)2UjKF?7hPnw*>oKJMMU`lYio+3k=cEB1)QnQo?sH8NmZrh7m}c$|L5 zA;Pwxy$>P)^=~i$d?dd~p}tJ_kLW+cy+gcgxhv4l zFhdL*VssCTF`zi;tV4(5=cB!)CW2bCMvo23{-7C_T(F{)My=VxFtrZsiwdJRv{}^& z>j7b!n^D71hAKsQg0Fm&$&WfCqB(0V3CP7^W%~~U1;J~%YJ1a&XJddQ{$p_r8L_W zX?575kk>&_q%%&~(mAu6EZbwD!W~9A$zX1(RT}aK&brK7N9+%+oW7EJgEvFLUr?%9 z_^LQ!3KE7IJGbUkD_=Cq`>)tKBa}tFQh9Ki-6^qi+1i(0AtBYdVsKi*T||@NOd{7M7=xg!d!p>vhD?uv(?%Go5%w0k!h8~P-ka+vLt zWWks@pVTerRxuR-Ot8wPkUu14!VRrfQ!GBw5BrsIO6F+Uf+Ok|cx)?W6$ss4~^mqkQ_A?c`#M zbwu3V1V1i->{@H;dDtQMx8OpV|8-?up>w+TgM;lS<0uA&VgbXisQ{>H16#QL7Y|G=?U4}b_$BM6?4a_7UFEu z!CHv^V1V#YnaAALTb=+L1mZfP;P!~qyucTXF0^E&`0MsEZ~XbiyJ<$e|lYnX2?z0`6H=mM*$$= zp#X|LsWK|+(R!bQQ1bElYANK~iC+ZV8Sqpm0O0OuoX^H1uIw|j1@`0VVJN5^hlr}D*-t&$u zr&W{THKvtI+k5lj10alB!RgfuZH^|&cbzd%DYwhWuFtg5em->tXKDL+foG81wkQwr z;*38A-ouNzm8AzfPNclGB>#Qu>&~1HnZJ$wJ6&#)$}W3!w9f45ml}8mIUq_d35^#0}VokV6ZXTE^XmxBVu=^e{I9w4B-3<_*tkk(%+m}Yk za?2i!1<~tK$hTZ}sW`tyo&z$GR-`CvliaF1ObS?MEfOiAZpY-YsTn1Tm+UWUFj!#@ zthq&Q3*_T`&<73P(mR|DDuddnD_533aF^2}Qhn@J0}PeZDs2s_dREl3Rh-8%PEYl3 z7$b0of}vEIcJxV&KC&QvCP7}`7$<>9vff?^C*-Kl@fVgr4FQQc>3 z>U9y=R#-~Iz`{MbgSgV`K85V5gj((<_3u|wDsCf?e*a+zbgvTW(CuT3lWGSFQN=tsBI9(sGEfjG9SgH779ik z5b9JySDtPo6~U&Pdq}#}v6Ze1Xt{PPeYel!s9*q~z)zuCkn5Ne^wk}FMBKE>ek4p> z!GTF6kJhbJLv>MPf^zpuc?h-IUGQC$Ejqq^shrT9o?n5&6V>_>IbGBH?kx}2`mBv$ zZK^_zN&@E<_R6Fo=+QRRxN^N7rQt&% zdua_@y(36I-!hk#V7doIIvUN!!r9|dk{-71-?&!?-}L}s7@ROc9VGqkMpg)=hOWRQ zF=UfwU0cd&9pN*xwh~yKmMbHfTi*>Vojt=1=rR>bCxYsbt0@Fam;79bPSgWgo=Nki zOa(z-W7$eX7!Sh0``LXd`hXf+_aqa7(Q)G53-jW{wOJZ4?S*hJRaZ#1&xPa)#rk95 zq-6Kx^{mM8-IB0CE#?vy&v3|-hfe@)>|yrO8S&tqLYW4|?U%4XW;ZA_s{NgZc$F&@ z96^y<@yxmpuzHP@?ne-c+_--P@Jl#}SO*++57i>xio)u-7Q_|PH4!4fjAJ@W&kdui zn0!-lsFB;*#-}>T*coJ-oKBPy87oTKb)mLJ_+^xfB0?tDgE)em>G!bP%pB<+DL6aXCf4opM z(6RC8Zw$AVx2fcW`9-p+2yI-US;V;QI*Hi_x#3}>t>|l`#8`J=8kCG3^F9IaksoN& zh2xCVg$DM5A((9q4_G0p!g3P^6llk}&sO>S#b!~N~-V*cT?$(RqQgdxV`!OqbO`0E^n6)pt zw+TXsZxdx+(m+l+oxHro!>QWNM#>rr9SEt%Zj7|s98_sMTq8Z(DB9LIlVs=^%XGJK}tY6q5A`%{7RC7~@wc9GSxM*GL zq7&P#eU}r^q3CtsutZ(@PTK7*tmRxn{qB~jby1JTHe2HBq_?n2G@L*ML>2X1oNQV# zk;Qe+0103#s@z92y$Yslw}#SCM#3bk9JEddX)J_tz?smFUncjIQ)&YYpbl86due_xdxX* zF2i9QO~i9oiA)?c^SE6BFqj$0^9-W&nG6C^z%wh7DMQx)o`yXU9(oCESgSMjLae%O zV?r_H84jv*(f!e37r^SZECNYAc~lsAEh{Edljm~^dZXc3Z4~;8;jti)L2`<0{+vPa znibZfe+JhT$Dw#U+kq0;%wu-zS1(1*W=`lTd!WfljE33Jyt;--HRf>@ABY8~_ZVbk z%Bd$PQoJY-kh}^PzDabqpKra1e4FKGE67B+igDrV{)yq8Gw|1ZOY#N^&VrPcx;LFl zaC2S#t)TYg)y;JT*|xT7K)w3e8j+V|mX0|K#~d~>k*5V&{|ZtTa{se*82Nn-+ojOy z$P<*BTM}D$@6+v&{Pkx>6n3)8Mc~|MIj$Jg5q{|e<2X#qVp2r9#vsgZt%*v+{c2?= z;AvkIH%FuBAv_WYN`=$fDx^*^zDY|Xr8vxR-g#K$HNX~B5)`prhqJCU2&G(=!Vbl{ zOTz$E)Xm{S4Js@9kwk-*+=U0YWKJD7sH$4wU{fcpK;0@gX@&Q8iCo6trZ;|}sJ9tb zNn^-b{?^K?xgP1vWchcsafoX?KQW*Q=oIIvpy+9>zB8Z{yBu#JwZVEx8%5JCI1cN( z_BC*^a^KERZ~E8cJghN+u64OyV6ha-Bh%3AO9U=(VsXFc+Fp>k^_2^{?uEZbn}epl zId!D>q+?KtR^iTi^YYVsbcM+td=DU7zVr~9-A=SuXly>$N0ZtDti1;x$Th8wrA@1^ zA7~?Nm((0&e67|%{7TQCy9+J<$6%q9H%SD`lU`c9?fvA8Qu2U1tC5U(ZgJ+X zXV$gjFu?7`QOJ=gLK(F|OWCehISBxuBB4@%Bw+6QF4-Dhl6XGP&>wA@8nl24x?C@w zO!x3WB~b2F>@uzn1;}WWQYz`j$O$Z9hHERVF+%Mxx&cIrbPp(EFxR-L0dBV9IhNoB zF6~^JT6zs?r!ac$YjHttH)f|A+B3_CRpG z<*wXT`Ek4?Jna?RQ>f$0^g@};ow4T+!J*9ZPz;2+#K&VcXe7DGI1Hi9CBwS=_e_Kw z6=G z(zC`o{YlePwUSqGyKDy7sKsfd-7XK;HzjN1cw8a04Jk-HQ79oSV{{s;eO?nrVBBqS zHzPEqjDaIph6gxP7mF}cxdD-1uLe01b#8skf+In<=ZHgMXYB4|_X0upxA`8=w7Ju? z5W5Pa&RZkXYm)AFYg_}lKsOiyt8?zXKTJY7Ss7{EoY8|wZ2Crx8+LQVAMkjL-$ zDSS`5>9N1+z^-0a+qHUbE;PG8iBut;J)9$PkYuRhKHB-`^6Qn5TX_)JdtIwBmYO)v|h&UG+t)^brr&?n`d&nGzB-gFo zHYn)SQ7?wUj+IX*YNZ5oc*bwY^zH*vRJ3OUdKTTK8GghK;^AJI6u20OA5@>@M4#wqi3n~8}D1hIJoumK&6#x~`Bo)>qEET>Q z6%Z8$6$TtO04NnQEipJbIW#jiFfB1IXmo9CE@N|c7!@%sF)%SQF)=bXEio==bZu-d zV{>*95dZ)HABzY8000000s{rX2~-+}0RT{HJ48I@T!%=y%()Jo>#TDfBIz8WBA3o( z9YNA%F6)TPy3A#rLDD67A-8xT;Ds07w?!nWMO1FBwJjoPQ@j9gyb#!4-u{0X007Lw zUJ88-05JhTG&2b50Dy4JAc%$uL^@uIWHVoZqszb)M-bG&1R^wL5p>7Pv7j;#7F`}C zalDd%D+7}?>uCL|3D1 z8xeFv#Z|ASI^DPNZ6>HP7MQ`tKsO`VxXL)l92<+={EmoS`8qs6#2hD& zzWH4_s44-Q!M!foe6n%lw;4WngW;3u5$~nP3`qmW(s2Zuu5Z;$;z2?SMqpWkn z64loCJ?!eYof$O@+tyW|p*r0=SM$iX^#ec%8x6#W%Awn_AUqob(TZ5e?H@*R*jaE) zEtj$#2Q{*>2yLy9zWt-v5DpHDsjHK0zn*~S5Xjm(v1;5rd2t2-`c7l$L%)rl9n;c2`0d~RKX zBC98{V3$BK)rpl0JxQgz#6obrM3<#Vk?xX;2=y}Sf&wwKn_JASZ*gYzqSklw=%)HM z??P|7fA=>`aDyC}-G_8Q?9VIR`<)!z z*oVy?xGvp$r;pG$Kwcam&+PqvjN3Rw%O0ez?~zre#*vc6!CU^l8yc{9jFmlfJ7%9^ zAc!Z#i$k=u{el&)cuJ8ye79hqYBPzI%EjS(rTaG>;3kzWd*r@!|6MnsNo`#mDVf>- zgNNJn)R{fXSl_?pGd0b67e^oY_x}h8m1uz2vGSOMLJ(1+h3LjuX$OCbu-J(@>A`ymM5&3an-I?&{3V$uwa~DWvh@QR(kxvr(M`7b z5AL8tWh*S~RAM&(%=$9Sy= zw45jQ^`jD%x%H?-|Kz#<=z%7*&BMxhx*2m!HxS!S#rmhtwBynhUfa1M=i|MCV}{M# z=2hxHJ}Nza=m>51>2hXIrN^2c+EbOx?+Cktn}^vwETp9);(=lQYQR&C4(p7p#x2CbPS`k7XH=760ggK1 zy8b^8!)g_5u4N<7i~0PQKz*ce)sF~cq4&&S|_n|!&8mMJjQ9g zJgg@n2XDGAJ8kGA^(5Xfn#k(Y#xZ`+8+Y(#s{K@~vh*Z9Fq&@#PMb7gisWj%e0 zVjw9}nv512>P))ASG?7WU%E>@li4f^#I$kg9^;f!gk?ZSV`u%EU0EWPQM#!nvw&e{Rtedu7qN;&LY4$AGrM4MJvsPm3UL0?up;WIAv zyc4?AhfOtoCS;s<#fJCeatNz+vh(hQ+HS^_#j13 zuujM>hKh0rscR;yQhhO8EEs&(MOahYFGlD~gSReCYqNoiQD*p1VKC9Ag?Y!=xkI<3 z%{Cp%J1!Coy%$ehH&MM4lBFS9s(F2x;hmI+4;SSS?W;2HRA27!-5X}RRqg#~OfdZZ z9pW>)-K$hB4c~iUe)c@zoz{ep6ju|!+Js%I47nrso6KK1QI|6-f{_n;iC^zgFV(iC zk&3(G~~rnr|*rI93@?+5q45X`#zwtW?WJ#6#bFY{WP_hqM{h z>|0348|U7zY(k#+7L$eJ{5zyA*fXCFxjZg>VA;C*U!NWwF(IlZZO2{l8*q6ObxoFS z_%**VUpUdwOWH}i={Hf9C&bg1our3;b791!L{D<2H2W<@d6Tj=ixct0zf>%oY;loX zsAv9V`toGkrNx#0U;n4fh$(q+t{ZbDu)@xp>Wp4;W3L516A7of<8yZjHv_AZ>{W2><{U1Qp!6jsX?yl_5+Oz8Vz(5&!@niwFP!000021LVD1j3n8* z9^~mc78c?GV+<1FA++V~$n>u2uFSe-kG2lo)zh;t-93G#d!}cz&junhBQv8bG9o7; zvZ|}0{D8zo0t=7;@qi5v$l}S8En6T9fsJ?sVR%9UY%r3A5E4%y3xvdfS@&3R$*P*! zKEgWQ)0Gji)`}Ht{p-Jc|Mzbm{GmVe&;F>&w?!7M_+yYS zf+$$#=_1hg?ZF*!3IB-aK~x4+{GodIqrKoqS4mc48?UzODLkK>&jffeh-RxKzJ$l7 z*TLI7yAEE&>nIo`(9|+6hSW-xZ-V{c*l8$P$EESeBFU0+1q~%xP{EM#q2pkamr0f6 z(2@FC_3!Isbg+9bql2Bh8QAK z758d4H`~J9>u4S~eM}nB)hd~-jJGJavsql0i*1@-)6>);v}Lw_^N)RsYmSE@*PC8w z#dZlRLku$KxBfayaFlN<7;Fjm;*`KUR≶7Ggw8F(|7d$(HmcBBNQ@aVgQfBzoQZ+YUpkh{vyyRjUM{L@6Qi*cX^dmDjt~^)Nj6VrB#XuD>ep-8r(%}5O^^%g zOHF>5YPw|zNlFy9o$oF|<(iYyA_ck^O8*raC;680YUYTki9->lE zseO1L_92ZAJA6r<(4Y2JtFCfRC z)haGx@M5jmZ!hL)n}I$gTM>U^LwtzX zP1=jktA$lXegQ86XK7x{Vc@8x!05NI>!9s#$`;7zrnBH z1atW45uTY}zj=m>=67k)G@av1{F3%b)u0=o&bz`N!f3nP!YMyK3|U{;fCgh&>*nIX zYh-y$qcW!B(`zP~7LxhFX>>fdVnqp&_3Kp*SI8!y%fEsB`)fH6@sqKcJ^iF0-PLR- zsQ-f^xq>Oq^9w##;f6hH3&F1mYMa?UUK6X%9hhtjXW=)&;NAWU-ax1XW%DSTHLqsS zT`N2?V5F7$IPDrMk3qEv^MM)}>+0@Eo4%{_0_Yc^>BL9l@;9)A{wysa+ERuBCgf`} zM`^i8V$V?r)*RTLx!8_!QNY=9w103Myj~?K7)I%4l|;ew^cpoiHV|Cv$Pzwi&|8a) zFYg7_^#(@-*1n~6E|P+D(u8aW^MjTw6_f}pg7>(GVH|lT4nHYS)l#9pV3LbGRaSU1 zqxFgZS>>~f_#l_pi2poFso#`O`*##OR$C!*Ol zQN5OFei>aPQ7CQQG==#N9tH2WSpuy;3TEkcDy(i+F^9eluI3{Gb16;efaQlolY64Y zJsLB#Idu1w)L=6qia=<>;K3f(_FK4u`B+3BKqBU4yow_b?St>u?^o#%U*P7CkrM}X z8Z~86ircMVOG6BH8prk-On$1moUr#8J%xkQpJNS+pKL>IA1KR{ZU^&WzMWOAp90NR zJh0jLqvxT;*$UJYupA5Z@)6tv=LG00Adhh33NW&8)+)SfNT-guzTnq2A1QQ-$WhZV z65z?d%wa8E<@lB`Bx63zEfmRHwGyRI062r@aPZ8dG-PE(>^QNQL?3Ft(gtas+aHq9Mv%_~xxR!Wk=5}xDN zE8-g%WdFz(+@EwkTrm zgVfG=$u53JC&&{SVodF`ZiiWeZx1u{pW7dALSmuLWvAxTSwV-=v@Kjc5RO?6gGAF zeXItt0^t158dt74wJqyGtRa-GqE#9%d$f5#uxXQvIKB2L!T3?uF-+Es4o_|&45r(P z#d(y9V8o>qF7&K1pqu}$w-L7`9hdDmO9^Git0@{$PRoz?KFYQceEsoQe7eg71Xk{~ z_(?d^b@__Q8mp}l&{D6(!v#MWO{YbCnb6v6v-lj}vF?wBvk)SdheJ4Zq#3S8rEb@r zE^_x!_jp(1TdqL$k}v7A#`?S;e#X++XtwhNKR%iqWPHLw6DJssmi@uV<>SHNiWPr6 zaJ)8UFMG1j!6(jsX*OEl0Z+YsKJ)gg1pWu57zHr-N88cHU!*i${rkb_82;x3Lye@o z|LYuMiu|7e6bIZs7?CC!#4*G*EM3;cVr4H>bkJsb6^VmZITrbI7Hc^<$_WVq3x_Vk zow#i9FP@ocUSu%FIcy&}E@?|llfv0bwY4X2oyQT}I)L^u99yn}1l?8%2oA7lF5{sy zyWy|k{{{P@(2`)tR&13v{nbkNpzNtZUlcwtjX@c8)~OSCA*n;2NBT_$lVEvi^Fq$i zG1_l&Fq%w8N_m4`V(kj(Gbmi*^F1Rlssy9ZrtsbM`-VcOgAvTy6a40lbUC;9mIr?r zVVHtm%x_VNCv*DXchb-`uGt~h<(}|MPByT z!0u%Hdz@YoTEcVHQdal*`F$PmDe+9emdWJF(-?z_PKQ!ImEFOu7!;BUubko~oGQwx*)kxtXtqaz?iP+<~_qpE;bn0RyjJa=UYRoE`wE^&gmrxl|UZs_wWI<-9vHb zc4US2V5kkEzGN-9$gm0}NhYTg82H%%zaVG}RkBG1_`;Ei=st)_;yy>9$K?XAWQ^CW46lk)b#7fxryi7nKE57c(mHG zolb6y1=^H!jUUu=W-c^XDtP|o!Fy0{^AuDYxF4n6B$!31CbRS+4T%G*c{H-1jLYX zO>B!rWCY``H`J@tb;M=e1pLl(xI!IekPJidl|%ZsR7)s!Fwfz}l~B0~;SFmGlS(ZF zOh9%?;9M>vJdJ}dKpV`W;G4X>$ftRH8Clqnx&^&9P#TuZDPy@#yb6ifmV|78TVZ{X zxkz)_Vb!56cLejRZMwYGU%_EP$DOLyO=z?WioA+YVN6}=bJzk!;kKyoXqbe%w+eJh z&BeEiU|lD4T%i8!>Sb`m>#if1z%&Uq$qYU$%2*IAGiYC0hp1zj!CW~Y`MaqWW83>; z1FGSmhKjOIxu7m_j;>3oU}W0x;OP?kxb(ZY<&vKvF0vtr28vAr3oHR;Ey|K$fcqgB zqP}Sl4NO#cXVGh9=+*`9h%|)4qp^ZYj>fPZ=waa!OlB9_okdBMFVy8eBnPHwU(`zs=W*jSJOB^04YkvI7 z;~$Ki$b#5EHYNqnLXA{j6>+@Jfnn8kpKVt{Ylwz}{|<$K!w|3Kf?&X+jQf@pK$h{f z$cOn%(n~{5$R_ybzKu+aJo^~e8sVS&Hqr_K6>SXY)qWy}_Y={@u)Xn{zijy~&m(9% zU*dU`EVD>23eXTicHt+=r|&^<$cg{?`Cjnqi}PXUI!E<{AeecvS>@0Nt-!jy5y7FI zMjx(4zK3%CM2H|DTg7ydic$P*J0%1H#Q-fp(!YjhF|8EgVJ<)jzeg-6fj_=VmMe7C z!I@Zcn4WA9JlVy1{{`Or@F0jc`E2F*HdlCpKVByp9NFdLGM?pRdaWL>AB*1R@yzV* zSv*74r`o-%dAx+3P(F@|nd}e#sk;3A?ZLtH;PLNo#|MXF{?DOQ@#p0#0l_-BSU)QH zrQ?}$fuLDJTIPIvA z0w+C#A*diZFClo%d|Ji@dKoAh^?8I|X#q*HKDcTS)WV1k%g2^}_RN@8sgAuQ75*70 zWqZM|EJa?#^5J*H3Xr>sqFC%x4W{uT7v?u9mO>bCPo~etv6ghyRO%e6$4#6U3aV6Y za(0Nn!GDzE8D}f-@?Uaf#f-?n*ALgMeZgl5OLRQ(pI15kP=_Z`hk*qYTN}P#F)UQi zWO%9u0>-#dwSsBA%B}FQv^w*vNI1R3JF3i=H=Ma5>^s}idW+3cKi`7l{i{&=4ZkHL z=vP5Rut}0tWg85gJXSab3f1fxSujHP`w z_%!CTFI&V#A+gbZoRQMJG{{M-W!xHlXyyFH{UOD4A?FyZU+xoTET=>(qf2@s_6Dj@ z-@i=IExpGsoIT+|MIacdXxy8TjKgCxn%5Y2niaPDRc3@5?VbYzlCBh3UDAmnx(Ze6 zH-Dq%OQ^XIoRHaqaP~Dve%+w}3uC(xOSf}XG$xIjFp~NXg56bG9^QJSCo+_?atll9 zgErsc9vC*fTQC@dio^CgzNm85v%9k98xVd0GUTOKK+J!>QC@Sj_#eUClI8E7uZGJ2 zzkCn>z^l4%0Q;R=rvIJ5g|^?|Ou-1% zyiH;d%+ZC!fPnIm<|V(SPfIj*XMM>sQ2wW-zJ%QYFcbdupLV{Jg0HGgrD3b z8ytg}{pQ@BP{ZFjGi4uT$+huIXnlyWa-ys^KG|jBU?`5Gwy2f0TTfI`FAIwf6S1_X zR2#Ieb=bVg(^Z_TgY)gC3Dz4N?az~CQd#kY){kF9 zeX3X!1;e`5z|S$uIEB3fw$-_~b`B5j1us#CmLMngg0J5^X;2}&h!jhWFkf1viixg2 z-(s|yg|wBh?ptr>o_7HWPhj~xmA=j=csf#ssWDWAuE8mID(^@&kW=398R)6eOvp@e zW{L5VMm`r}8N&wYVxMtRoC;bZ9C=ekNi$^EPRpmc5|7BJuXmYnXoF^}vkRWoUE02R z*9*86vcp_D1})^QNVbu1CD)D2c)9MJ8=d3;W{PhS&{%}zQSt9{ux^TIo(Es$vkOo} zLy5bhoC^Hlay)7kuwk>;k#I*Y<8auTii3g%PpqXGk>4RL$9IN+SqS1~ghU4?($#VM z)SULjf!&gG>}_X*i!~aDj#Wb9-2C5k_+7>Eh4l&X2c7H377T#}+B1pTmS}TUGmTX( z-aRMeqti)86GS+io`l2xDPt}M+|iJ~FxIOWjIcw61I*B7X`%;V$}xV#(G9@t8}8L@ zJx{J#SX<&C5tB5Pn?b*C8XO_CZG3v0g(arAXYSX{gI2-PtRUJ6!Cs5s_W{*A%?xM~ zq9Zx#)|||`=XYrJS^*CEhd5q`W&qa%V-hhgUp<V<(C5vDTrS4?BLWz;D7HFq0~j zxoJz&+%Fd~GnGD2mR@wJZ6Y)5}emp@bnf!wu<#wF29Sj?-3z+k#aPlqiEIEfIj+>vAc#b4xZWRQNtTBqxDzZJtd|lmw?CG-`y#5cA7qzFT4qx(awP z8co?cMP3w{D ze!h=x7Y@dkq|#>{2^LzQY3!3Ir<}h z&O;pquK7M47meB&8o@`OB1Lb3hDC;COv1#1`Vi4PWFdKT*V8nftAzK_q?k)YMflwUe*<+03FF9DU8+|&yO&ouyZtL1Qj+qR{uc(S1~$2uflY2dFc=IE zPY!8va34dO9NcNH)L=&UGMLd_KU}0oG`^P+jqhP0Jx&h;BQT)s*KSXunusfORCdgQV}pBV zLEUqgSs3vwOzc@0b798fQ&LYDZ2ouI6heulatnvoZdZjiA~hpM52xDzgbQeBz8eAL2YVaIFw zml~lf=>DmiCmuob&% zY{16{8;7`GFjWbrH{w)1H*yb4Y?@aXe2A8LsIVCzlggSKU=8L~O3U;zLR7g5T0`F< zvLuif+c5sq%_V3@WI`Co{~=j#O&WGRf>*4vxoWM1W#>{Pg66 z2syw9_e4G_;X%y##76iPe^O2@4Q~<*qP=w}({{iIH(75;mO%ye&1p zqcBrX=Ir7?ya;09_^&cw5US@ryV;`RLK7AW?}~!iL7(rp>y0$Cxf|^i5qTfqZIeq3 ztXBr3HDVkWamTNdiHcNk<4);iWrz2*+1SvzIyE6>kot(j^yjeeJBg>z`roO-r;itqI zO^(ijC*_LrZV=VjRJNh%JQwXt97H`4xv@n-@ZLpHZ>J*Y*RgSGSM+mZW8!j9MHg|_ z)mDVjV9sB7nqSe;E`HiWn9EEs7s0y}+l|zBO9zo$^th zm?Bytl2mpj9o%*F&0rA`QFfm(;WRvdLczvn?kUk;k6{_jdEd+&7Dt@y3m}~EJS(lZ7t5-o z6p8u4pxjP5=O;Fw8S3cSK`M3oi@3os?11a@0*0OkPcgLmi|ATGpZ0?<9XyDBwTXeXY(h0Dvg&(4Gp&;8 zl(5BPq*ZFbGqquvOe3zH9f||VMgpQcMA!h5p_-KbUU;T4r3@3c?dHF2U0h0W@#YLW zz@sA($sHezMm-iSai#7Fo)SnBWi?-%2MaGJ7^0v-MCd6^=EZAu5N~@KS|>c!P9&Ri!i@LOV4P> z1CL2S_6Qm$v}8(?mF@!8RI(`}JgLE~7#*B;Ay{kHwajb7#UED^ZQh&$za(o}5adee zdpp|wh@k150Z*AxjDCkz{ZBZY{TK>VN(H8n`o5iD7N`tf0VKO9;<-T%pmOTjB*a$ShTX2(txW zWuM_gXg>2tzhv4^`c)2Te=I)WRjx`JsAq8vosbrMIjb1FkBdf%6CRzR`tuUrW{IXc zqDnVxA@2z*elJ+T0T6Sn8_k3&&xUoZ1~y|AxU$b7c0SIcV03(}Ms^ibmMFUz(9Khk z7Ev)#b+SfMDund$uUrg@=!;<}`&GU#o+qb`-d_i>-j9wRj_3gvSfjJm25bemFgkg7 z%>T|ac?iO6tvkl#8IL-aD)eMLJmv0Sgb~Pm_Tg);3GI>}9|Y?)oJ0jEmSM~Lh>>k( zoOFYZ3Iw{fHh%i>WQ?sZGR)%)PPj%J{Cl=SIN5TW_2@CB9udTi&K%jDwTO%e!wJ1k zL3fv;_3AeBcsPc6JUo7QDCSX&hVe_^#4F+mVrLMv>14=azA)v-u6XIdGLFqF>&=RX zraWF^)nBZ!VAK$I&R-Dq%esq*DQKj}GvPS0_Z0_@w+>lSmAw$xcc?a2D>UXOY89R> z*Cox5NVTtLwJ~&ElvW7+siO+9hdPvQbzX@a4^POhN`J zw3kp_o5t-+ViK7ty^55*k#}_#Bb$6$!>1YJH$Z7zpVCC7HG|T^cc>d9whW$ni2yP9 zzs)8Yc0tuTRp%Ov4F@~z31zF1_M4twYiQwO9pX1qXRFaKe9_cKbWIK)PJ+eSK&(5^ zH|1z0pj0IYOoea3no|=BhXY{vSk1iQ957Dd*2;A>FX4N^;gLquXsv=35)VfrL}B6z ziHYMwSyLtPr!{@|3jU^8YYqYz3r9jlV%;QHgpPrjuSkRmi^O2betv%L5E#|am?j8Q z+6^W~?g@w;SvW~-uIKTbnC8ww*@pEjj~)C|U>13%*=NiXoYbT!=PPC?@|8J5z&hAG z|KTSlUCX(LV_*C88W>p4wHsg5XsD4Hp@9GSn=gYyJsI5;D+!DMIxP~HV8wJV-G*I7 zKYv?l72U#Zc~$(JD(%!MfA`a##VMSmh1&(0eVKM<9+Sb51@_)#r#cm8$pdNBeBox( z$z*9}iw*oN;X}C zcEJO}AJmwr6b6-1;U}91X5Qf&+7fm-`jCn|#=JmlTom)JZZRzJVDqSq8~V(bny!Z0 zCpfyxo$8-7=pmap-=uN>k|;=}RW#+Rh41!X7_L4{jXPqe$UiU33ZpgMROQ#;i#2p@ zgVMvPFKi2R(KgDAc6I#?lieTss;2hR&PDK*kD_6p>c3j6Rds;tZTL(4)^%+BDoXt} zn-ShDMR36&5S#K4q>S|WwW{Na-d(=4NB~ZVl11ke)^Z6&aCz9IEVD`R%A+Zh#wczI z22MTCVY?m;%R9^-MJA?dn?;vVlAT^+g|wJwNnF)!#-4lprrs1*-I3x^6D((FScmpSwTs1rEN=7EP^sIu)?u!(c@+^%*_F$v9(9Y}6BKi#v<6ve3>nv&hV?}AU zV){D6y*_^&9NeqpX%~-?k!9;TM}8}{>Al_}j2K1RYDEEP^LSx5=x6%y;=4-XG^-zB zf)t$2jV4@zZ@$T) zqRzDViy)CXd4yimQB$u{qHZMu`2rE#c5hg=LUOWYpdm!!aMsbgq21>q7JQ;vT;b3- zh1_|&&s1YtkID!U8Zgb7(LU$}SOnlIDdT$a^~fpJg%pgMflcXbZ7Q8e-~AtYrahR2 zyZmGr-8m2S`eCpyp6C=xI_~t6l4NONTLOS0X=Lop;6#_Hn~6AwdT_+o?qEP8aIijcmNEq!gZ^mA^>+qvE6d^=5(Y?m(W zo}SV3{|CZ|XSfck9MUfyNWC-gNG?5^Um!%`2Y%SaZzfQ&BgvPt~!Z=g` zfne-=D@m$z+t623y&9SE9N4SxUT$KFlN$C@O>aTr&%Q1s8^GC2ig4&CitHNeL1A!4st=Q3ixj zgp=43>&#DLceYSJX==`9>Lw zK-%{}=P1W|bT~RZZ7G~xNllhp?6NJ7j{6Df?{UJqMR|%bM^9hh zn<&4>4h8RMCn2+Oz_r^I#*OXu07NE-<5#{SW<=BZEmJ+}d6gzfvl)oc&VE^Y!db$# z9PKE};u!+=7nH0M4!zZmMD`~ZDiipVdf|DufG(AkB449Zt@@~1g;E8qbi`BvgKXAt z-L=63cEIf4n*-*DVxCZNdO?hiiy#!YhFa!RM-ud0w)-KJ`HDcZ!PzP0m5mM! z)`p4lF(}T4vs1+a(dlHNY0#dQ-gEeU@m6?CcgqPQfOsaMWY%XgG>hFyDl8YLH-E)& zm*kg1TnumT|8T6KPQnTwfM|3k*(nas==}bxmbg6kiAq69;0Fyu2iw9!T(6LRFLQXG z*)>9`na%)%t!5=qdm0_*tnHUYe!9VIJHp9bSI)N>^ul4OdfP!uDZw4`8~^LiDEVg?5qQupqh2Dyt3 za5_3XI3fOZS{j0Xa2o02kWPxaf?^xDYV$D#ZHB(fQ;=9$>8j2z5JmlpM)sUkNBp-o z6pCvYAS)pkp>jlF6Bwv50Q>LZbHozgLZR2ZQ0Po^VA@5IVCX8_@>ivosL>a2rW{|J zH(6VJlSL70c6cSu3^h$65a-{?wm8?BdY(6d?oy*!$N5MWS5u2ALLPT*vPzm8q^ccU zhLUTiC$Z@aGWtLo*N$12#Wyyy%3xLDpW*_=akNyM$7s4y`x8<2g!kzP*?7eQJ3Kjh zcwo904o@B){TNsOfBcD^*QoRJ6o7(L52_GlJr-j!P)9riW(K27bfhds+#QXXjL&^p zjP)AwrnYSu2W}SQE6wEM#+Yk>A2ZB?$HFvwZHD@>AqnI3=+D&70rx zrxVO#2T07?gHf+}$KohUQ+=~G3IZAvwtA(d&~L9WS;65>Ne33RyhE98tn(waJb!Y6 zRQw*{#~6ClJqoaphYp9-@U=uFJ>=J2Qbd5{LPD z12k-+X@Nk5Ggm8?(Xp>?qIpyLn??99-Dj&H%|;8%k5Xm=uVkQ5O;i5vtA zgAflC-KN95PT%17ua+xzGBwdS$jFaieUgeq67%}ZsWS4eSb4XZ(nr3BmO|I!Ux<5u2%n5LIG_nXjr9t~S|3!Q_ z7KcG&zqCnohgSBg>aIKrFuP*LFv{y_9j&6^^30(5WSMJmcXCr@BljnKPXXOmF@jrp zw%VY)e~g8c5qx;Tj9^ME8E)mS3`(Ep&I*>@qwh`uBjf`JuG!;18!)0ZrwUgwh0WpiYC_3A1X$yn-c+*C?5 zidfE%ZvN;GOA)>sT=o_LoN85r7P~r&1B5V}=^1pn51R1ZP_4h6ndl#m;c)2p!x-LX zVeX1IMP0!S#vBEre(Gp)Oyx#z{tJ?o@2|JjMv$L=m9LS$n{wZ>3XbQJvM#c1HWSGT zOx2Hl|3W+$l-FeyuN4K9@OLYE3T#GmMn~Bw6lCB8eZ%xUd8l$dZaSfn&!>!ak#2O; z)|jI)Iw^^oP+7{HEKkA1t+m;c@$48*wUeXyQ3&#;;H(}BOrk15=hrd?Q>~QeQ&GX3 z#mtoPTK&aY0jZUoCWlNsQCQhfDCMak#K>i*>;8%~6?CXG#gkY9=KEp1T(+@}mhj8g zIIlCkeN8eM84E?CDu zvwV0>CaTxdQ*_oc|HF@I!HLvG<-L)4tWogx zn?8xAE>nS~o${n*`japX`g=Lfmmqdd_RQk5=%y^wTxUM3oOswNW2)fg0m0?lokhn?8Q{HFyu*pWYpr-tE}`{-Ru?1FS$lIv6!D z3}pRr8*MMv5MAN}v0eV$E|he5B*S+iF}lUmN*N0mu~~OOVdT;ED&PO>Dq01;zTol-s8)6R$pb;zrk-D@O> z;2yM|drBYpm~+yj24)T-m-fpiYENvsRi3BlD5M;6!Kx@%@^BbDAThvl$7hlQ2E4)B=E)=aq^ z20FzFC07Ajg;?;4Kw$&MVzrG_%9yS1m}a2t2s9)a0rD7szaX6I5$ZZzk3nO69n(=G zdHB@{|C_g!eELWM6vCkG1aXGa&N6^Y=4c($!%4*}oe_Cv4sEk{5wHubIQ^V?7+ z-_$uFAI7eKrmXtfiS2tiw z>7mzdBR`&A+&>^O`@F?*#TGF6!QQA1^AT5=eu*hl= zU6rAj9+~h8N2xUXq<=?-tW7*Dm8HVjIVNQV>*8>`SbGf{-sLnB?{22*$^g(RpX+o; z{0k3Voo+ynl9NB(&hglH>zq_3pJ5fxR)THc?~|=A@?e0<_$rpQNXqS0a+nVa)R?pA zBF3!L{30HjY>!?#*h{XSq*LB;xSEzx7(iRiVZx9oO(59#s_LAPw5igcshzI2*Nj_M zbg$eT*`_nV^|x*%u4-8HFFbHtiK#X5w(lOjKnu)3tq)Yt-{Jx{p84|auxX8^n8ty-Z+zTA z{q4d>C5N@8J2ygV%XaK22%2@A=I{ovE3@mn;c8p3v>n3$;esWJ<0u%6#<#`NHsfcz zCSes}nD;uECTY6e^nlQQ&{@3;4A^iqPoXP`l^svcPQ!*`ejVHt1~k?n>^fj7 z64=6j>(d_yaqr#HjWjUNHPh>G*9yb!j`v1by}8H5Mt+)4;mfL`k?5f!Ro$)}>1=JL zaDEs(m&upE{)!s?P4H{cULaWh_k&-{DwKgq{Qtec=N&WJUFDV}Zr#;x^~?UK`DPmb zdhZQe+S_>_n0zByzmrgSA7FUhXl?aziFzEovkdzY^>bpbXuUBSV(fX`;{T$D8r#GV zueJq7_Oj;c9G>iTxlzH$Ig+H|NOhpQ5MT!RGfiC=A;&aYr22_bkb#0P`7%`UsMnk4 z_-KMQMZ-uN?dKV6YfL4KI!zJypWEx(6zdIcphv6)v&y8Lp}oFd5d|TBBn~-B^$9IB z)}hNw@?<_wL>vV4L@Mctw0)KF0-qVHF5C}?HpMJwM+}s=>E=@|ixn5M6wI@PmiyPN zrAO&z6-gt+A?ts$MfMZQA4n=RJDj>$>vA5tHLygmn$~P-u@QgiqouLC(76@YidUJ6 zUl~=m3{@W=LAUBMmeG2m5*AeWk{Eh}6r(Q83m-*x7rM;QN4986&O@<@3||*Xj?oL4 z)fbrYGkEoy^i6Y5y?puT*|SH;NWg0yx%91W>FzX0Ws;ld83=}q3T+$r5;K{+-yMj}QOxs+3xH;M z9;-gyaPb7KTjOksJ8=mUyNITTeElLApkox)8qr8F5EHHEeaUFw(KdMpc5e9QuaRTe zQd4|-OtD=`$|lOVd=*~>|7097{{shh1q|K{U5qBDXXH2W(W)A#c`F29>jnnE$}p04 zWK}Vw&$DN+Dqp@NnhY&-4o88)m`zlg&#s7OZT?Fd8I>hMWKs1=VEs(R=e_kBxED%I zQT_s)Qu>{~p^e=9qA{J+1`c^}b~?q{hqQauH+8g)NWHOIx*LYssZ9Ej2T=D~0O)40 zj0o6x2bMuDJmf?>mv9l!O)3a+FuW5I zuJX)NDJGNkTn^#b%&4NEe5F>b6q8rw0ZKB}t&Y5LhA`iS#U-h z*60rR83`F>wh6*g6k;)_=FO|u27#QBX{zU;>HWKqzgEcXt+_UwjBt5G(EAfSpO=o5 zL@;)o5mCzF)oVeqbd8>H25e4U&B@^^X>vO4L+HT&O9G-ssO%@cmW|j}97Jo@a|*&CZiKS;^ddFn9)kzknCGzt? z3#i8MFP3^D_?vNybI*?Z%0l|>)z7#{G)+rFwyMmqqB6VJ)N%LSd#z=Qfz8+%iq-)( z99?3gUhFxF@Rs#e)|<=$-iYZ%RVq}IiYRw{M^+evO}7iAYSXxBF_nY?h{k!Dr%a*e~(>&c^QimIAqzL*WB{YYyRP-M{y|kHrLG8zze70&> z=S?jdtqEt^EKOty@twy#kC#P^O`{e*#h_qR%v68Bza1YOj>T)h1=TlQINarR`gT*vlnV3BCWmLeHfp?U>$ptW_Z<@i2vTtMzip+X+<~O(2mmQJUms!CrIiXp-?V1y! zrCSh7^qLBflKtk^3ib~;6-qNVg_WU~_i)WJo@ov5H;rYrNuJOG<+h2=vvu`Xz4i1C zK9{z<`aZDhL#d;mkZ<G_H%}D!L##?VA@5TpN>S%EBH#DN+1< z!9jK0+Ps-Nh!1=vs!d;u(Q2n(VhPLFCxAsU49?ONPG!6oPSkmnHnGh5YrT-Vv$2c{ z-WPhcfvAhX_6YW20cha=RKnrGJ__6Tb+p2n13 zo%J1M*>wPO@ZC0va>XZ5r5XUP_M><~PFgfTDRQWL4q$nSUQCKgO!K);H2?Y2=a_28 z%~Zmcu*P85R)`(;Fiu|(<}H( zd-aO4m2nB0tf&k5;8fEMxB{mzSaVXb1(F*fo8>fuikee`1^X0X@OGghU!JHBs9!_3B zbMUcJlcSW(G`TkfZ7GwEBF$J67pjUBmQnCwJD;HbwEzPr7>^Gk&fBDrhKzS}yDGa# zJswv@E-%aPVZO34Pu5JdQOmYe`GLnSp-T}^{|5gG=udP`f#j2X4tg`;%Jt?}mHBE$ zc~nfyfM?q(j^NY7nq5VU3U`#aWu9-RzFWAqH;qZ6X(fZxB|dk?*Tm^VUz=(CNdD1x zU+^MGviBkm&Nslu-K4o$YX&!6L2fpAtE8igKEUp~B0`6t*sOVbe@NC~{POQ0gf}3E zzk2<$VZvc{@^s77gD18~pcz1Gx(~2y3H(^=L|nLgFT{93(3~Ql3$PutYB0%$Rkki9 zPdOU}`l|&fPMCMzuqD7?YBXCz=!r$BBT4%bsj8G;4BS zxA>w}kCM-2iaC1Zsf%ZnAB2Kh$R=LD{#c&6=uBA=%P766smZh0F#HJ9iQXFpu-6T> zvZ>spYzE*V2cs^G3Oa@{;P8(anIw2a5sN3gEKS*q31;uri&Ax(LZ=RavSb3O<@q&G zni=P*>H3lmo)%yU@q!)8j2x2nD3nOfwu}Io{piNL=mG#r?W(IiypI@5yBf?TIn4LN z-nK@kN1!-OB!YUbfW_=pe}ZaR7kJ$2Uq*Gr0KWYoTs`E&{8mz9h+vjv$^kinx5=ya z660!JrD9PV2nw`eT^;}Wjl8R|hEv-KE*ggY_D3Fw^y6lOMeq~I>Z-Mz;x~ibaWdG$Nymx+2i3R;RdY<q#xNG{`VDKy0J}+NBe)C2yEc(Oba(2>fYj!m2(GpLrX0B#Q!&>+^9^9Yobxw}^ z61BC28AGzF6WmWOrF|s`QsENK+bO$V%#*Q0VoEs~Fl{nBxE$eNYYcvgX++AEs3ey} zw1wp_GxEF*HcHI7N{ld{#dDZlT1uk&rRN-_r>&*EQLgC211v##cGN6F-!fS<3en6L zoJXBynKA8-IX)5kH(E5gQ2z5zJK`ja#+~O^0Tm~jqe|T#EYSpv5t2TyqP5D=n87N; z!VjB#TY8Ud=a!bk&2$nKM2iQiPzj@wR&fN+W3%%(s#cn*}6iaW`;x#bpi$ z*D|JOK}C~@0eN=vcuU=zl{!QhLvhvBMxC=Y7(`gu{ae=AhN_IaI`a@G6IHq`n|V)# zUQTI29dL8U3V@%20l;L2YXru^MH;Qc1Sqd{6i2Zc!)PFe2{PuP^`Q8ht&((J;Ks_A z#J)jeqHnU1!;<%yqDG*lG7eUt)E9|tJcMYT)8oTl3w9iobg+TBy95gW7R5H3Ve}JQ ziRW?x<GgV(%mm#Sd7o8~jD67# zIi@O-&TR0ioH@#C>+vh^;~Y;#D~A%wWa1i1F2k*>lE2DLa-rUQE$njov0-=?Ud8sb ztXX?Vh;0NrRK!ka#3Sh?qc+JVjj3kdNh2q^9hpUa2%y@JZoVaTL8ms_i6JwU=!gic zm+^;WmV0V6DD4B!6wLOCHVNhfX0u$c6$!rMU&%QE|G(7EdhVOYEhxvPR#eT3cyM z7WmyvT2Oil-zRfP>QeybL0s%(s)9g^i!tw`@mgaG5cwEQwb2^rM+T<{MqxDg*8x{Y z8!C@wA?m$}q@9j54SXv?o!SW+#TI|w-)`iU9+lDf8A1*22ir}9!pzer6=o9$EdWS@ zCF$m`-5!`0-7TkMx7tU2Fj?-mZ%K$Sc~(b9!C*APLIE;Oikc0XCsZ^Je-*U?Lbt`S z^_{tUsg?A-&D_Dm(Md2kz5T>l`6$_~k#EdQ#(obBFy>i^EkUu3CCM&&KjkHZ`N%BC)<65&gmBVCxUmYEb$wn> zx8BF>P)WFKRzj>Z9}4mte8M6**$>WSy!_@h9W!MmY}KzYLxuh_+#elK624u$YKn$I zc*snGqqC4ILxuDSLuLMmFIp*YBp<`Iq=0KANU3ZbnR2S()7>CC5t+034VpSi<4AoM zjL4#p_O}oWWO`TT<2UkGk-WtyybsEWM}&SBya#h4zV05w8g*ABzPQCOnx6eE2$4)D zvS~_8%Nh+$5d;Kzu}q5m7Tq^JyF>RCnvn>a!umFzs-T)*M6NWvH5PX}{kG5b&7%hf zFDk=fJSpfDj-cH^0g2AT1mU60k_YCU3&U>p2^Slz+9QYO0Zof+tneD;4~{6yL&J$K<1o?e0_Xmb zSX3O#meo(^wuc(zf&N=QDa3%e)NKQUwUN!{5~nG;-rs;xkHP1mz;lcF-K>hpw4lm7 zB{vDE8yDBXifJODk&c-8x3A5zsf`jDayeX z0VxX>T_l${IgbRrKNvfFNa_pI2+ld!;L`SlesfvBn_S!IX^F_F|-&~!#N*>e=>Axjfcn{C6);LUP;@@bL8N()g7}!h52czwhwav8-;{~ z?Dgq8upzfLrr*)y8AxwV(MvosK=0Xq8fPDa%NX>A)Y9VxKFI{z;~NXuu@sq(bM^4x zpoET29v*6rG3-tJ&ck2>3vb$|ECSJ{s_c$@uL>>m(m?+2D?#0bJ{0eRx-_>}qX--w zOdcML&WsYWAxb0U@bJ^x;(*wa(%3<htkAC$l5asmW z8vWvE{OANL03VDVogSFZhiCCj<>sCuSm+lpBdAi3CZ`8OGyXW;CaJe7o0z6jfQk&> zJ~h+)$qaUF@%83;#fA(EZVX?tl__RKj{oH0@%Y4a1f1;Q4^-*hP5=1ZySDU_Y{)?w zm=$KJ7Mrfgr!@$f`eEjztVg5MP@oJ=v-I+e{fFP2$;WV`B`2XE3&zUn`(^S0Ps0DF zF&|46!)evF1?WzyZ&olr$| z8K;8Z5xwIU!D+vMp0{B$5xG}$$a<`O_xMFzt&y8CFhlnFFQ;G?Cm_(cJlY17({j2k zma6~;AkQ#mRWjG8GQhJKbg$wFkFJ6y>H`Jb0AH_2;RkpZ=-K)-=y(5p{u9SiLyWN%! z&?%W_!vHxRvJU`Oeltfo`Kqc$Xy^{Ekwq%2@drThqZT7 zm0cKmB{JE`fRdrtnIN66y_s1e;(04;oYk)NMLSuB4JJ8b4WBZV+|7fUUq@+arh|t* ztVon-aUeH&fD9_0162Yw)T^;6jlf2l>p`gIB8^R17DT9DBp;;rA}MCu#G4u;w-5aH z!iec}+q%}9kx+e==g34)Eqc%a*nwF#qNZrj*v0dX*cTaxq;cqp%2})51C`(^DDy4) z#iCT@5$k}n_Z*Y*zz94S<_qCz8NAO$Uh>U9_n-qJ{Cs)77=0G@mucRm2e?gMIA<&4r9L)*T&;N!FYJW9M{n zx(ceSl)R#zHHRe5l(sLWrb9Q;%qyfm0e({eOF*>0-DBQkJv6%1Z~hN1D1-i~hJp@c zV$o8BokiiIOL5O0npvV$OTCN^%um&5*(;A0v2}m9ltz>Amk|Vg6@#f76|@_r|IHc% zhq~UauCe+i90HcF3}ePQV`x-%AO z97`TJHD5G9fzw1~L>&O7mHeXzt}($pi`LAErB01H9%FKl8(_V$tZcX!j1KAFhtd%E zZX0pd;X0bfO};&ILr_(V=3lT-s&5rIvyN1K_54LQT2=OPSSQBv>c(v@Ii15fI^GlU&i+-FndMnD z^#y_Dp2Dtp4O(kllzu0X1Jn}9P*)+96J&Tr3V#s3)DyU1h>TgxvKBC$M+RSF%D$iR zs4&?^&nwu;*v;3I1aZ)u#$~l5} z^AA1f#r-ersP>?pC-&+MgEC8?;93z6bVtjLn|sotoRg7qZqlN-6%L8R(qMhJiv|cf z!`@YKMqsFm;y7qG7IRssB&}_k!xu|6coC^f_&vRSaP4vo1PB_za&drgjVHUdjStK z&(xD*Sb{OS5iQ&(LP+q-^tcY>u&&@1UnM2NbWy>I5b{c!N1#a}b|YFnV3)Wb-g6z> zJX<=f0*X5#3f5bu@Fx#V4`gwQSAfU=|zZeY3ht zvPEt&%&BpBV14P-s%gm85L}tJiX+(AV8{+um)U57ni+BPt#B@}vMG+3YI>WQ?BTv) zEy^(v6kOI5p$5e0`K@(DX0uuXm087517^gE`O%wD&KrGbVcSt%Oy$kOJ%TO}?TRyZdiSuXFmHbgCgt9~uPLmSuCYK0LAOcN=H%5Ng4oKsl?XD=LqhQ{+k3cgS z0&@6Us3_G#y=qMt)ER#}z2pyDT&l-QwwIb}D=_7GyIYl&+O>pg4G3xF-rxKcTA)I0 z*G@+h)CWU=6GvkE+$w-7G^$_>a`)*hU}IW@gic%uU99WxBN#`8UG9iT6EV=h0DEOx zoRdJ>?+2&eH<~9CT8E91)3^=_Cbe@|SdRR^i8EfDPW#6&*opj01f^d)w zL)TPS;+4QwInfvKLrTyg&H*2-n|IG$=e#6*0BuYusb5+D~!&tq zK>w#{#bEwtmdiJDfOe6cu>AZW5+DWLZ1X0Qd1(ldZm_`U6IE3a>EZ)pL zVrmAjT+ul@r@%@qqN_SC$(x8TA&mlWZ5{m)CWUe?bxZCo;hMj9Jw4mgp(5fjT zP6PSzMd~oDQTF}xq#>xky&l7EZ|}He?m18X=9^oTXpX=biDj+R3%N3*EW;>VYo&wT z!^C!9exwoU6h_QglhvApKFAkT*K7z4hEpd3cK&yx;~g82Eluv)(nPexU=7Yt7M7Eg zV_@kN$ps2i^rwElMV||ZDmY%l9yNwHaC3okSvJXK9Cv9j(|Ay1me;v0p35p-Q%@x4 zW2N|cbdTO0SuxRi59CDQJZmD?!Q0y#gb!CWw})5nG+wSLvB-<2x#1g(QWJOUNth+= zycu z;RzC%O{l#5@x7IoN4va?MQM5dx<4_`q2|)^$M~s_y`|+Jv+5_=6>QxPHugdiMoYeM ziJGxM$Eheq0g4&c z7>1ZMO!CE5mBtIICAi#^^@Y|^CW~*Wb=eGUM?W=m{4r*bs<(Hs{?jz3w0Yh!@DJv~ zB+Vd=qvbXp*6EZNMWn2~fU?s|l zdvl_=6f(ZGBs+1Ye*F0Gz>g#7=STKsFPX>TUuw;^_dKnAW!_A8Ts`$Hv9s__zA|~d zq8=MInjluBfJd(McdMXnt?c`k(M5{i;E9Osmm$(x)(YM_7%aTSsFjDS@@Z(ns%iwi zw}n zd~6<4rU||YmvO!M*FI(E%B-aF<#Q)ZlRF`H2)$<(+o(i}mD`#6TV!iF2VHT;_nOy>QykVG@8 zd*LYY3M~urtTMv>bIw#)D0~5u3ox6IF8d@rQ8YDthf~PXa&NGr=k;gfyyr zHE=TL(5QrscIFeTut8PP&SZG9hu6dJixA_~2zDG>JKm2>>0PY)Tl8VtmnD`(i(Axr zn-sqlWAVE^RvB}~OPeE)W-EfWMB->rvCb4LHRB?%m0Aa1YhaBGD%XflXuDvZyQnxn z0lE6RYiq(sjuLCQ#idQ+#fA~EXB4~XkjM|hRyE?F!nMu;GTe4UUEAwKZY*_p-Q zc=qs&_@zFyxX&#`#4dA<-@BM0-l;+RH8o#`ALyF1+Ra|GM=V#nq4n-&XLY*YH9s$V z;MLzY+wEa!JJp*3OuG!#bh#6lh6o7!zIQyFF~3GDp7QB-uX{%TuUV6|YhcN;Dk2eE z<3pQ5p+Z}=zatqcbzZHT|FM=o;H{yga`#noK@Hf@#sb}C=ljwJUdhnV_=pPj9Pezg znS<`C2H2iSpy^jaj&1D1QT;P)=#7XqJ;B)U8#~tYA~+fEkEKO=k<2c@cIdX$8}R-| zj}=&x_h3@hF=MS<-fi>L(_EvROuAL1Wb!xYpl4__wmZ6L;&6MY61&I#8E2c2humtxk?2O%% zaYq-m2+oduT%q+C{MceaZaQ&or~H6q+9UDbpU4p5F!)o!=-{9yl_Z!)&`r@$+e550 zag#@Ju)Y@^z+lQ($tI13r_j={iM7n&xFKYJ40hM-f_?q(llA%)g+Mn-VD~QPrHv};;E@=&eqneJ>23ji0=i5#Ml=I<$@$hxpHV^8w8J@JU3?C5O<&JCUgY;R1Qgn;YX)P zxGkdaH-FrT|7+6eF-ca4-vuD9e_G;Ygpxf`GQL5(}%c@vlV9eO%wrc(D5 zrD;KJ+6?NWqu}|^pFa^0lXFd@&R>QW!oUBAO`Q8zO=o+}KS|liM8mi-xu%TNQy222 zzRqiQWO{=XZEi{FG3H&>odDRziu>~A{QS0LNQ#5m#m@Wb)!j zDg*7`ss|_Ul5u3VBOoUR@29|^ctcE9TOFsoXoyw7|TYjF6NOdHZv@iEo~^7<{*LTf|6SIdqodN6nAf z)&f{yA_Qq*<>|M6&rjiWy>OoA-}*gYf!sqo#c4wQOcpi=liHeD#a+^b?!nb%5J{vSs+(K@ib4g z(J6#S`^LE^YjPs2$uZ+OM|B#0Wk6`ceRf8RYA(L4pFWr*FD}M_~z zSLC0|!zu&sqX_03iJ;7xD{npKT{Ne_1jT;?^JRh8vJ@FoU zl8O&HAMV)g%`X`XmXo{P0&y4#6Y(Y~k&PWW_@uFB>)a{d+a4;UgaQ3BsRI zb0*!8Y>ezPaU8+GW}2GWG~xLYA|%Y5R!N0YzaOu}&fV-WMk1!92rMI4QC`SFp$K9j zsQ40HxV9{)z9;-VR##Y=M-@XdstFOvvYA|A5ht51U=2zp!b{SWi1BTWTU_6hs;?+H z%l8HYVe>Z|s(d3Xr@#K7UeiI;-V$F^GtTy8GE~^T&uNR!7Gsh_b&p}vA;(U<`Q$xD6g}}7d#7n3Yw1wgwp2q1C^sK$$ix}OC*9vd# zIxsW>8)S`zwI13w_`~3d^1tp6?Rx51L>)KO$GFJNCT-yLt3GgR&m`RZ!>lK%4eUuK zRVcxZ{87*i>lj3IofK9=Wq>!{CHJ)McC2Mzdd+A;$H21X`y7GGd4P1z4PJ1rrCIQ1 zs8{e)Ox=N5c(;l{BL9-0oP&2idofggdDvc?Ce;P5Zc~h|^WI@#md`udaJ!l9$Eup>@{7_k18 zK`LRD#_8*Pdq;cr5`&XzW6}a&R!qE6F~=f(WEpNc%@185(I`WuGMJ2+;9lCHUF+xr znt;rS@iO|5tU+z3AM92dUi%`;Mf3#L-?Ad;#|!#bug5j(u`pNSXwHqiOXgT&O8hds zO>2uZT6zE!SeqJMYOL_!O^l8hy3^K`w^U$#-qKUTSYHXs>#~a1)ym+nozm}RnTyFa!t&B~4XO#YwhaysYEufYoVtP(Ji(h^~GivY?Vh0QI*ucXr2rRNjt()@Db+NLK&5wlbgIwG~WhIGen+i4A89`=RC-a$}#f;ZW-$e%Afu0@ynNO=}wj!)=lVYo~#N`t`erMf}i64 z+zTp3r0xYN{6lBUS=mWkrkI3OV{Vc;75bz(7YF=`Lz$#)Os*&)N851Kt|F8Oa{oNByIr(4pb@01L2<6Xz)z_ErI;EBC z-tV?=eO`cO3oYjzeGIIzRb>&0!+NV$q9Bu4#pD8V^)io!LygHr*O=T!iahpDrxg{V zE6pT`5&G*UJrq&7E|AGBnrU$?-l;h?0nCn-rWxSB*j0_5`)iA1$Q#V7E^-u}@V}hz zqVyNg2v%7FDt_6N;sK8agUvQW_tnr>$Hsg^w$^PVpc(wc>DDz$+g{mnE4%(Eor}Ru z<}(VD%sZn>28GhxHR`F4yznv=OB@@MjAL-tO{-t8AD89sq`4x2$*$tA$Z^>N!GeNF z90do5VlVjP_X{!qKH)ejVrzxUt>AbK@}d0o4(em~auS{yu@bC*Kvc~SIuU-XKy#sq zPKL%?m7Ta7n7mi5n?s2vCy&6*zuXf47vP|)WWCnfVnOoA$#1d=wp})hNc#=(-!<|@ zp@TRbZSp*=X$1|%i;c&-(^=sK%Ve5jL^qlh39^o9FbA4!Sp+jzM3=Mtl4^fS-$_4; zL}xV3%cM0i$dtgO_HrUn#pNWh$QpGsIyhJd(=ED$7FZh>K2B4*jgZCzEWq+y$YNLt zTjbU7NNor9KFd=hC^>q3aPaWxAT*ITC-{qeT(Dg!;J0j*97IGS%=tkl>IqnjzxSXE z(C%VTo_up2oMY_i8zhLlCaH05`id2cM7!&CSAfcZ9~gcg_>>Nx_Z=WAJzBmcN~K53 z-xE-!tLK|zQIA3bKpGh9UgV&SUI%Zt8D>%LQr(m!#Ic-$ML0{ zq-K*!8x>Kuv;r&I9Fqx8$(wTf{f^I&`Z-)=ZJcR#+~U^G_j&tltuGM0pfaccGq;I`{V7l0-6numKlh}d<#oE z2}*n@BPD%;wao_Kt=~&F@Bii#m+{LD(GtJcE>*+(aeTFU#_I&lwS`SGQX7?(-N#? zZ!2oOZhdg-tQ}ka=Ojx=7FSK6oeU;E=UciYH{C>V5K=q5UsN@w%Pu4SO;ycR8ZM}? zrn6v)`7BA4Q4RA|UV)U`Am&@4yZK3ZiW=)UwFB=#B&_y^Cp5HSC87 z$uqKiO~Vtl%%iQum`|y`uZMD%^%Z$;=+`zi7!W^vR8l)ZBu?jw7#W+;a3JBxY9ih! z5gwnToV^75i7I&x)^MDZLrtD-Uv}T$0hO~JwV|*-W&8}*kEBTi*FcbY$vH|A9;kxz~ zZ`cn$r@KM}kCVc2y+#a*Kv;y*px88G8z|T>m&@F>CmI$AKBPmtkDxnD0a2?n#_PoL zBb8Q#k)b*bk6lfZvInHEN!EQVSW8?GArH215iG>w<*9x(PuC(!QW&BLD1vaZ$SCo( z@JCOz6^4x%UWWhblP))EWAc=yHj)Wpe0-D@0hA2sKHSMyC1Zv{aoo*UrCEn>6;!pF zxNTh3YUH+|)n;c?dwBJ0r;O>VHnv!HzvImw3N3%W3X%X|A$B7=dVt5sgs>ZtgUUlHM9OT9r-6rRLJP83mzL&JQY5S-Enwb!FW@fAL8yivu9?x9TS4imCV zUUDtxQUzO%g7=`bp-)EzT>dF?EBTUg;Oy8g(dC9lm-pa6u9h-sry#yfSv~5}!Tz)t z&7;dLtmO@5@eJtptGtRI*O@1$IWl~kdbE-4%UcIg3RTE2PRjZ!Pbql<wf-@qw74M+jcCKN@vu){X zLtK*YC=mIzZ;qd&p$+qDYcoAf7H1n69O0(u{`0j;1>U@ichq2>xzZr(8Fv`d$F1`Z2Bt{V#QR*VgjC>C9XQNwom25<;%qUS^#J25;8BPYl zepnnH1UMzoyDCzJxd?N8{9?oOldSlKMYU9Fj|gz@)x&)2b)@yf6__&t5_?^#z+@VM zMl{d0aF|=^tJrN=+Bp!E%8H^gO|M10Zh9H1;@RR;c0)*-d2=t+th@~kNS@FunwHkK zi5sTG71Y{3)yzW)%T-83K?#^LIJ!87Y1f<4%@V$7Tdlwdt~3rGCis26$_y^#$iw|w zOHg?Vwh|Vn37&#gR(f*Ou=KKro4%(XQ`dJfQWf|hvZ}jKas+v z#ndZGKnJ}yNiCp0{ZcEG!<&ts!uf(DGqI%W&HweF9|e(gY6}7)#!-Fq{KXFrfa=c} z;&_OMx4=6!Ps3Goz3UwOHW-C=pM(BTCqaQiD-MHu)3}xzrL1eDK@rt{bfiTI547Tt z#vsUHfrdS(fA#{&tk6@}9vy?oU2ZY*HepK3o4^0l+pT;9W&B%b+0s}}GZd1Pb@-by zI*uQXC&6HJI7^bbSG>+6%%8HnVjeyY@xJ%d*sMDbuH#Curronf+e!UOx;U1vm zs0ERUsKOH~&{qT*h|FwaAUpcK(7LB%PE+r>m@w2BvRlcr!D@QI{L!TQ{k<)C~K9s z#OD-SDlH#_nr1IJ7C$ZEWM*(ijqO5he}mtmo+d5YGdeYLSS-EQ&7I?BiAkdmTZUb> zyi>WmLxFUEVHZzbxfNob4cLV@b!5JsiJ?$HE2*}Uu1&)=I%r;|@dD3hvT$`OV`pjl zo4@(sx06Ppehy0wN4Q1e044r5E6;xq)7%(`{z{ITLRs4?>o(&0SpNz!K2ZTC5V&D`%M^okkQ@q2^+t=k!af57;cRq$+Z zq8;s6e%E12O%y{aScsy4E8TeCu9H7t?8`sE{M`%ta<>QZhfh1}8w@=anP;a=nD-|{ zm_`UQgWE=`RYX;(%Dip=Kl0u!R+1!56H;Z(h|9x*_GN)5-xl2wp+1on5$B$*7Gz~s zR#i`CR&HiiXZ2LI7LN!&5nd<4J=#6uoI1sxk`Dj(0ttBFVR;!L7Q|&< zcBDawT^I=ocmY;Ii&(T065{e-?DCtr`6W(fP7h+F>B7=>Q zF*d=R*cVnmE#qlC?WvG;j65PHlVgA?Mtq*3YOl2}9`+Q^1S4Wz}X?kkZ*UhE6RMb)Tf9hUw4a+miqi;u8^z>S9z;9J1@?wLrFwRm z<=5FqS*^ zm0x3)3M1$%M=*MFXHam4lo?#aYfAco9|Uw7)mn7K85u%X0lb8C z84Y`;spHQWo>M6^5rQmS`S0MGycPs6wu@2L&A;ZkS_@4fty(2~N)&wLh2-iro+=Ii zqx7g{A!~5yr0RG+==muoT|#yH?<<~LhfK+sSep1(gyP!B!+e@#x+HVzigfvz^!as9 zaavR|@hydN-Ds2j6V6a4&!9spK`NB@_vnwgs0`I#>~ zEF6*7yC^tO&hz9U=~Wp_T;+&#QS$ojIqn%8CvL8IhT&$=lW!^#fhoVszWQ&6k#it? zRS{XS&xGqBs3px3O!g`>1b5Lg*m{wTpteEyXEHp%2JhRWemx%xl{%N7Wai^?C@S0W{yoZWH$nj6x`->zi8p8pY8ta%!&%nBajX-^1bhr4txlX2`Wau==t~cciec zh5^xWzaEe>F&u%dD8#kkYAm|NLDlfbUa=(sQv@c3*QYf*MOn0|wHn$=tCJxI+E2Kl zW7SNZ|LOH6!puQc95Dy%Ci-m1Z4-geD1i;5+74bA_(t~C&0go))st`Hpi)mbO^fZ4 zY;_jdE%DTu*)s#YVtAVtTg>L9$~}A|K0~hrj9aI?G0Zo`m5=0?Ahy4xao=SIvT4kb zbW`c#$W1=~_@PQuRA|C|Lt>Zd1O;^SHEx~1WRkA0DMRv00w|`l%U@#K{Jm<3B{%-@43{;n4x8K-CpEdXld{;DOS2up9 z!&2YdA)TKc!)VSOR0%#ayX=QdG@IKsY7Py+JpT2Ui8ah)Y~X$t66On5uy{aef(H%+P`H z5wY%x$(}V_N$c_Al4H1I%DgUukvukmOuQ&od%$9m%o~did)88Oj4b;}Pwk*#z1AN5 zz*TEtFvNdWDGt_*n%9CLQ&#p0U#yidv#vC_>Ku5mjW57U!j8uitO`D#>{AsSBGTNe z68NB{4%o>?;VY|$B~w(=Hh!h(G{4a9KYh^Khv(SK4SC{=Ke&DQ;Xd^H!G~svd^?f& zs>x6_U|lJFpEuF@x=s3(Oq=Mq+CnMZ3-vpN9}yuL_@$uxt+qQJ-MQiMsJ3N8KK#6m zc(`xM>}Y!+AP$eglRdp!a77-r`VetF3sIscQ2_MoK%C9hA7&&_p_5t$(LZIIgjz0b z*L?r7Z~o-HbgofAGQbn*xOdO7CuxX{X$Q?fjhxV4a*R%HV(M-k%`g zqzTzM)7q5fdFL?T_kwqPANN(8W2#Lor6JPcy>s@|@4mQ2kD*W>g=!eLfBIght^Hw% zQ;Wx2*$h?m=|&Np63OCo(NaMCz+rNeLYmtp)y+$sqb-_s8afDoyeKrQc(*hk{$;v` zrgAtrzcmF29_3rh0A$JSorl1{y&(=okHVveYZ-;C*}dB+U=qHKVF=)oW((Sywq&^7 zLAM!Pozvmy%*1M5!0UrD1jG^;I=XAAu(&v;R%A(=;?Mo+kUnk+135Gi)RXMzIzRBd zu`JNNy|6tB{)i_$4xecF#%_jgCx$_8!cA9c^t$PUN>Ij|ynuJ%V{mtvoRK0*v&O8L z7mVu4pxC9~cdGsQE;`(cZ}DAp_)cjUV+C<*;&V|oZe2ysY*@ry%Cn1A?SV}ROx(Ml z=%ZCBlPM@9F`dqnP%ixFF47Ma?epnfLM)ew1Hazy^(gdHix6qpLWlZ{~^j zO>3;J4!-I~+x9`{Dg{wh;PVYuU!bCT$~eREdFJT#0WJ$v~@ z)PEM^`~Az#35vW$1DL67L*6fX9xbm#4(@s@HgHPzr`pXf}iAp2j8f$8x$&J}UiNO~!bm0y$~H z<YMPUQpOB1TffLe;NxWu2LvDg@v0UiY)+%yEZu=ukkY)}{@LGXP~2;d z*9L{gTWK6+Rh>#3!y~8Its3D&f{sr#cVnG-;>zj?;W}ybJJAFsz=N^digDFI!!wV| zrC%(gAWJ&50YAo3h+;@g!kp?`pah_c#ny-{t(mq)x7pSbNUcIAT$~n7bq9jNc|{8l zCV6r=ki#gFDJD3Y2cj?PHWYbvXfUv(aqBsC#z7jY{(KD!>_>_ z#L2;OF1=Sgg0p{>!yQLNPYo~n^W-}ExY%XoHTW;>#P5X7r9km~jd5I(HoZz}h(t~I z<}i-oI9XOjIWlx(%)4dbviD-RVS! z_&2+i6HKehH&d?Oz7KXpEu^gAPQb3OV%(N4GP|rW>iLh4P9pv}s*m~kbZP^CibItp zK;v`#_;{pP0}k#PGb{~DW!5;4wQycU&SHFIuC&UL=6zew(G|K@znO@1&!QJ#{oPpX zqZ*Eu^?2ZSUMBIDf(QXsMOg7E#bM9~Fc*fp)8v(Hz47f_p|+z9(9xgx-Y4l*_--oA z2bU(bLp}YF6H6Q72gi>Us$E#>mI0u(dwVy+*k^zuZSy~j%A55R1!>f>Il6yz_Cs1P zzhFAh7IVUwXubuWJX%5WDc}BZ$|Ta42xe55UGo$w@#ZE)#;J9 z8;W0y&(DtF&Bu@;UzGX)mWNKv=)%>mE7-0wUfURhLoW$&G={%_b%B5XIXG6}I2lqJ zv+SNF8VYa5=ed|5Rud7V=i~ai1vN?a*TRjLpo za1^hJW!Ai@n&j9I4)#p!PrtN2_(Boe#@Gk`JY;%Wr0Xy`iLhp$svKaQ{X-0p%uA`f zBwyZYorjQCYJPhZ31U#`GDt@ms+$gzk3X-pBo43E*fbZ@CN(YjwY2S<1eK8ZkJ>X4 zNJpzGePfGUMOCd&E~y{i;nC#5(fFi?MbO+c3g zMDKxpK5FAqBRNFt20n$A^UV+9AK`^ZX!U&agMl60c(mW};QBj{j~!1PqS#`opA_6i zx~62dqpgIx=S$Sm_hJ^`{9qM*W!{>vG!dD@i7P@mcsb6+Pov3@whTp?%U$5f-0PA* zwOLb#3daNHHK!^aL8NfT(y3*uO-`zWQbi;QT1sc89}@t?4C0Jp{OEU~A@j{{G8!L6 zwy(FQ-jM^(mTo5bxz0v@#sjP5j?Gk5Q5Th2Y0^-#8MkD}KV<%MC7L9x@jBTgj*<;( z?(Oz(c9R5e4!ffk_<>Ra_a*3`NEvV~I!_B-hw03jPlv^UTJ4

uYJh)y;s2O}wa{ z#sPUQ=ug2^<;Etext|c*BbcrP=Y|X5FTUc`bU3CS_JB{*<6WqE zcQn7YBK2yt#hpOxJlV$Ssy=Y8T;Hf)Zs5fj^t1$dvYO`C?F!_uFs8^gb5-3RdtW|z z)N@lgnNlp*sT?&3xG*|84V5~GP$0X8Rx!k#l~%5?Lst;@u_s4!Lns zk`F2qAGSRuP@K565N>Sk)4I4C^BH;K7kE2?dG8t5%F17O z)}(ODgt6}hpRg+1HHY-`Amax9|FwM*xM_~{rm6SLG2J5m7utfY^-y1M=v^?v3-C3$ z{rhM+?use00fV7Z%UwS6!t`&z*($Y?&^-ALfBQ-jlX$5nx`@^>{}_$gEMXAPjqPJyG~@ zaz=IEJ&*7Axf6_DU9b@*>>+!py| z5{%>M24pFdoa`pq^eq9A=z#?YYEwikYv#GptFcax=Wy5F1gy91M4c z*~e2qAZP*d--xm+Nn2#3v?dcpZ0uZw&%5~Z0Z$n<-S&^_vcNB_YOjA&zm9a9aPw!H)GN}NU+^S ze(m3I9{dX<$?8-7%F5{=|Kom-#cs0FssI1S!)QbOt80G}iO2NUKd6_&6m_?)Vwj;a z8dm`GWmxc1YT`y&6?0WN?msT#>5{}SKYsblQ@ea#r*Tpx*CzG>Vq# zw&dR7aV@Y?Emg^9hYSe6Q*`?QpM*++XV{S!jmvTrPavYLw4U(aCaAW}ng zU1u|!>IHaXmeCrVhuLx!XSzQnC-y?f1Tg4!X3M|8W6WT^$32*~j9@k}=&j%x?71%b z7j8^aNDw%rd>hp4O-N0P3e4h*L?Gqj`4#?x=rHgr81U^Me$bKp-r-?sHgILw-3UsU zSbLSb-cYF^y$Vj>pr!q84E3tG@*PpsyPWiua`mbv)mzu{7)`8{P$Qk`=C>bm=GDf| z11L_1*`$NQmJ?XeGZv^WaT!z6lEuMWJ5aXf+K_{RlX01Bl@+OjmhPDC5;42w>ZXO4 z54%tZswt&Df5`C%TmOx1gJDkJdpn$4(Lyv{WEjY?cBxq*93I&7r{V#QRLU#CA@aVQ|!-^8J6M)txCJ{#XPa-l?*~t2@&~ymx5_li%nIK5{B79n`Xsdt?!Q z(CPiFT#Z~x@ei1_OtB`{$a4tY*R~L?Bi%|c1WwaY98`w~0(#)g!J=fIOj*2&v&ujM zs#j9AR+0E};LFodNOARXtJ>-mUT=7cmkD?XoPr-5__=|{kE3VLo<+Za|C8B)pD~p3 z@UT}EVST)p0Bd89K@rx+-33@1n^rX-q4g983G0y+!Q(E4r6Bp}tE8c}d9-2h4J6TpvraBwi<4|p3m$a$jf;&Dy@{&tlh3u=FesAz!!7~s$253S-r%ZPXA?!vosjgayn``WjYg_*y!H=TqWLb_o5x~e%pybgogiPJ(eH) z#38cD+yAq|#V9I!B^_gh4!`*!$|GQ5@C)7wUi*xUqN)?W5h}Fgp4%SUM zVS2rm_sV_tDq>RBhE`^AmM0wf=O&xgxtSD3vl-0Ocn0etot1+ow1Njf5j0t?n}S9= zz1Cq`6^tf2fOM@fADYSE!86?_cTas&=N9^S_2lXXFyY5aG_d#- zxx>sgjeb?~($v%sC2*ClwVHRR9ZUWZd`v@; zzm-u{j|!$jNvq)P+mcwYs)xR8*FHs!1D7muI_wU8Dug{W%kGU+mQ~ljf?1?VmHd{w z6V$Y!hSGK7+`55C2+N?tPK%%0J7n_*WuPss>uW`QkDnsMf_Ojm_?WHQS6f1;pp(m! z$*IF*^n?gqaCnSt>zKa&i3&Y}i{zw76ihcRGF|JyaTJ72P*Jx2D!M50wR0=sJ^jm9 z(H!0g6jAPf`RcJkx)2D1#E~7tS%da9r>w%Xh|4MJji2jrnC*zBi5YPXdQK7KR*^>- zg&}XX14u?U-Z)Y-E^X*>~UfVx8LCnD2zH_$QKXGBqnltKc6&3f1 zZq`2odjy{to!VpK>bdRiOrYqVGlKGB&ked!&?n)wj;9qPb-3G%cV0}(gre102x4g+_OYmFM(wI9f zo#M^p1y-)=pMGy@2IdI{FU#g0chg81@1$p+?A7mXI;=Fn=cY=T5j$YD6PvwPZAJYX zD!jzOneVb(e+?_}tilLuV{R@w&#jqy@#(_|B^+g`aFZ+7sM=GplImbay4NOu&B59l z=Pe)t>ecd8P1@>lE(sdUfo@cp$V}VgI496lz(O)}%NN+WZ#5EYbPLS%>}kj~cW_(W zsi^V!XHTO~=t(`^zr4}q6YW&VNHl=qszp_*DC!sYt5j@ST}{P`@{VvinyVD|EKIDF zBf7(yCKq{;NbrW$`*90lut+7M;PfzhY7S&BtQ?pE8T878uV!sB<|IRF*V30E`dI+M zct_&$U#{1*P^R({j%AE9u41fc=wB~aENb)*IGG_^(p2SAbPMrf^V}&xHaQ>Em92CO z&N~!<-0(vRtC)aNsMbih8%n7)`WQF#pT#$Djvz^yn_9F!K7QANiyUJ%<Z zili7^ygV*%KYX`7=vlX7`sJo5f#=#(5?YtAXPBp|t=uE=* zx)o{!Z}EI=^d`DVWjK6P-6p5TuaK&i?|X7a_hBabrxSN_Msji{)yX-XIFr*w(>=c; z&fYrLz(fpxE-f9jD~GE? zFg_t;61=(QC-0KYI&lD9nWROKsdX|7u5z5xrlisz(BhT+pOxCw=`JOf@0Jh#b9{#L&ycCj?6X#C$FbP_}QM9Wfs0lpdh zm{|3Z*Vagb`6b1=w5hwIkz2PTaVDbDX&-%}`UXYe(>_u|^$nUF=c61eB2ARck{Svx z=BxX^K$hKu=(lk%17{G{qN4SIZ(x1QQw(A7VJFCPak2b%mG}qj=h>y&+WNZ1I!ZQ| zdzUC6s^tx}1n9Ev!E=&@%WeH@KFuq2450>86@(>rHg-AxhDskaUM;An^p@UvRm{XC z53Fy=D`e;<`dic7?H{TGhBrPdX#DxBFQUWo$;oicDAD1>ocaW(GZiew0;2~PMcf-y z4FwZ|5b*?O5?|;G>`dCT#=;Yr3}wTbimK-YyeUZLoQzk=_c(@cWr(#B*&T&BK zIa%O~Q(dG@DwS5cqNpky%0bC15j_AKJ}WPh0s)bu1C5Q> z(_Mj?|MCiNV7)75M$kh`uNdx6)i3`ecC{MxmyA@{km*NBzTPTFe1t?=}=(7t+XwJyq`juW(w@badmY8T?`q+-dAJt zuhR9@d-v-Pt~3+#6PHxrvCZ>KPMSu2L8;BVin7Pml>#O+_lSXL9KKM7;s}yvMu-In z&IQiQ8?{mVKn68=0PVXs+MG*_$ig=M(NaY>(s{UCR?TY#ui@+2o%o$ckcomTU$Wy z#IsGQy!xeA)BQexueGK1dqH4p%j@?7!`7DA*TZ51ZQP;g{(q9D2ZE}LN);oU8dY1Q zqp1-n$CuWd+_J1WR;P#Q*$9tjt+++7%z)v-Ws2Wk^ zl%nb@57e!wib{bXh!vqrf#zz08UdAOQNjslqeR!q6p3i@7n|L5r6C7=k>4+@Y;MVr zZrGM@|613Y?#kN1c!N%fwZ@==PElQTH+9|GWOFjoe`~atp*Dw)cNZ7&Dvv%!S)F&{ z1@UUMYK@rfFfK0Gp!mqZ@e z2m^wcctINOIH0m1HegNqTPw1lsl1K9rv)rv;?pc&o|m~GAfV96LP5cPMP!;N667aoIPToX6xBj2tas zT{nKkEGdk zd#^ne>Hr(xIu%-vnUu)<#&n+H+N7&`f_~VDACMvjk!-3qg_=mF+TCC*r+2@N)4gwFLbss~e7+A= zE8Tb}daP%6AM4rPV?Cs?f+1OS8tSC5<2=9nIM3g~(on+~kM2B-@#yV`5q{iyY~#C+ zZG4xp89^&$KT}q`bf4RJa`!<^?(#0+=JhwoT|$q#fiI~9A2m^W0va5k2Mg>d^%D0!~c zY6q4m9ZHXu$(r^Ko-D@m>{cWJiY(YEIN$nuvrh8pkWJ?NdoYKYUv9#mWa+lZ7cd?3 zH2)4}vHjd?7P-d(Q0XU%s%!HZCs-vsl=uN0#aN1fJ~tZQ6fTICNxa%F*}u~w36|Es z`B!w|b+WpM3;oDc?_5s(UAl(V6r*Q^@`$C!ttf5Dhd;4o;f{DV#56~*Zs1}ZCDsFq0*%Fszj!EfAwIE}DN26$VQAEe1`^Ql~9-tu;WI}{@ z>~B{fLw>D+Q^tVOz`qSEj=(%R{_0Sxgh)-PDAb$`fkF&yk)LcwqC*#Oe!bY#iG=WnM z!>&d8U4!NML|G_bWQx>6JuzEGVlgZn6DqeAy^T)^q!E2e9ln4L1B=a^4AhIJeX&7+ z3f;*V(;huljS4RWE!QB~ffEu>i`hKPxM#9ru;2BHJ0qgwM&F;1OY7N zcT3BreqV3DZd)D&c(C}OFD@EzB@`kmdBl1!GZdKciK!U~LoDJ{gql)>wTU|%`H{f_ zA;s)$9vgWyEQlnqNYzF$Z$ZH%;CQKF286{AYkn0^la(Jr`hmW?iAQCszY$sSvE(MO@7dclUA_#&&3|4S%g%b2wrUO$K!>QxZvWG&4 z@06h3R@W-$WUCElLC?m2zMr|E6Q?K5-4*a=V*%Sw3>>GNeJSq(=0Rou$m0##X?N z9Z#E-OeoM(Ocmg6$1ktVPBP+KK)tO~rV-hM@6N~`l{>dhimu>SRftSW7J7rWRf3nnigQj^*uf^&gRf} z3J@n0<*F_^jid1Rgyj+!iFozDYqvfXy$c%CsrYKj{oCWY& zkXOqhqY8ynmc4ok&u-juwGaCzQEw>A`-pHBPtAB6*HcgV1*R_S@j5qRr_I&^itU}# z8vfmmMW*%?hljJwElb%Sf5qv8j+sXe6!h7CQvhA6wOexuUdoem!rPc`OGWYZ^>D!$ z4JLS}XCzMM)`9iQWqzG`xYw@5sbWsAiUR&8QwqtVI4oTDavn%cGS^__Cm~{KbRSyi}8<6J(e$cBH)2Syf;t!MwS*A$Nu-Yus znErruUG_YUKxa|=E%+3M4s*e4!B{W@8=d5IO_+@K_P+izE$X-i{TGCJ|D-q&aZtol z3>cWTqi8Yp13}vpM~Y!y@(Qn$7!SiH;_B+Fq5&K6w#%{C#Hv_Jqu`R!9Jsc%TmufJ zf?f7!NZ`OMxVIPgI^-c0ql%X;6YtpTU2&O~%jk13dzCi(tKG&V%{tI##n~lzGn%oA z7q8;cZ%kQ;*Mdgi8w0eG~s6u3&fl@5dFOyH*t7uvT>60V47*iD@ z*{cG08wl-fg4Z|IG9PW68!yW$`hdajMPPz_v zjKiJ$8izZ<;U0D!?gWQ>_-h&N?cX7^5em>}xgKvtE7Cz@K6w~D+HES8CN`o&jX4pM z$)O3OYWSfLQlW@BrsGs^{1+t@zQb^}>leR6cBep?h3{0^&2FrVM!=q(GMN=%*XEyu zmdX1dT)M04l;u}CnSDqDy!}t_HMvjBxzG`Od#pXP^Yflzf;FWQ@VHl)7eVV98vG<% zpsB)mdo7pQ09tnIHGE?Z!SF*HzfsN|7F@;57b1OL)|KVJD|YXvB=c3e-lR9>WqK1G zM3-rDg{2ag1vHg}p#LFs1;&+ZtO6f%$=TO178);CR#|Nvsx`V7isi{w{62dX^*-)8 zFH9|oQ;=%o!xL4ZJlkztsU~{o)A1l-1V0D(rBIJZ#8x0^LuSUD?h(tbfxTm%Q=V1K0zt;g_{6vjp>Giy+h|6 zH;+)92k`_(6h()5-kO~fYt7&|ilaV4=MD#Vk;4fDZ-UU`V8ll63vJ;V_u<#XXpZnE zjybWGe^{Sb3rHGLu1yoqK6%=nXzM1yV%L*?RQB*iU;@&X|OeJ~nDn|19g8xjW8%N_guNi`;>H9wWev$YOb6y$mQ+>r%w^NqLv z3A0`sLPdeL^cWQld~a)E3Nb5+;H8$*;M83r=s)2toNCn(pBnp#e~vR}dMAMA6kbT! zR?}qr{iQyI1(W)7!5`r@Ua`JKp>d7xfuMRa%<;}DMl@}OcGJ`zpkL4y$i%PiKc?@?tGg80Ys7qYJ%Z%+x|& zr86`;oumN)Ew@Us*5EzG&0-!w{g7sxb-a^K@7XNgph^psWgJAA#u{J5GuEtN2v~K_ zu?lCA*%L?NELH%UTl3FRBuh6O0wq> z_H{Tpi|}*xe6ef^dwwYjPlBaP-ZJ)N{a_)JYOdCIwso=e7EpCm^bp^iFYh&zc)DC@ z_^R^Ztb42QwN_I!I)Vg0U8KajGtK8WwOKf3_FKeOs6z>qxW&`$kh@k-4rP33G`(PwAs1*T}AuqMwTPml` z>b0YzY#%|4l({5<)BieWm=q4CXYR3Q4m zj+mH*p`wO=7I=aQDuZdhU8)e$Dp`~UkLVkSsw#mu&xbO%Ptp-%bA)OtXn5N{u3R?p zF0-U@lb|82^lsk8G>j1kpDbK12baf#C*4d&%M_&I)}5P9#m$P_oM0HVc>wBu-^&P; zkSD!jmG=!*o;GQj&%2#>B^FQVr1d;4SjJ>}6D%H}uk&sO>zughRx1Rys^>soT1t z|G}?e!)t7vO#QWHm?w^|bh;z&!HH^kw5uDc^W@#Hh?yLwu!TgLUKPt`YlG`Nsis_Q zs?DK;7Q|9jWL)ytm}t5Ryt_m;U_7Y|z{v5jVF#V>W{UrhWhEaXh!~9$Vw=;xQXrUM zR)-Xj(awJiW-K10nY0WoWx61qn2)Dp4rcsr$E1V|H#km-o1(Dc=2MEbVv^YS06sH_ zNYUx!gNydSZa(JD|PLL6JIHVFOf&3RC=IGWH>c009#Jpd;4utZlV=%Bk&n0sd&@g{m>k@%ahX)bE>#XC!PSD_QJZ>Nz3X<|=xDAMe)D=bwMhHT|#`qDU?tOIC4U%c2vw zNxHbP4gWk%)82sBpzClKX`F2X;l^Xw74R)SKRgUM$Beh0oGKfcpfy` zoQu?a^eH*jl)z#_@Z`G~E3b6iVwGMd2mm~Z*30kNWFOxjM+^9a!}Sx`#b!%eo{6Cd zHN2;=IjVdpB^V}0Y$W1-^wJNbc!3A?AW!ZeA4F&OM+$MBueL(@h64q-e$*GL zh`;7(K2hLua1Dspg2OdK*b=`Jf5Rig)?ng(uICLO5z1h}{~kwIsxTT8a%Osrx(U^s z(|JON4Ibje2x<@r&X}x(F#0po99=?V>8-$9qVgB+DmpwJnTnECg3~F_a9cbnz6{Sq z01Uc|SAI}2hbK(wg5&6bVF&WV(P$)&M)T0P{)^8UTL;-IwXvgj2^BNopY_Xuv3C5C zTBFCYllTy{=1nm@8y!zhHaDZuc%qUv|2b!^lZ7}K7722SY?iDFqr+PlYV2H2cbcL>KCyUyN%0|1(9xE9Top2l|#11_;q_n*}2#M~o?w_Z;7i%&L zQ-zBL+3A5Y%33`&Dz6Pz&~hq+zBg30<&tqA>rI^9glk>-mVRQhmf;#BDyg$JCUv7= zxp?DdO(i-xgIwU`Nl?g3n{{FmjWtK)mYX=8gK>79t-uNBFb^=gc$FJlPc7bH&aWCs z6f@<`Lm+r;uD+q2NmiILo=YBn7N7Y zNs288*$sSWMS|2TR2zouT1(qYnP7c87LQeU!uM9lw*K)`89DW32Vx(ck{Cl-2XftP%wu{|>FzEgAIXY?#t z@9{jD7N|=qEpu=|W_j@5xg)G>VO3{}Q}N}lo=v8bP&N`v*V`{bYOdV6BQk4vV{mF~ zYwj(}ydy>+3~k-C%g9qxhM+F4BV8MGSH0r6bCB{Ns|Lnvm|Zb)4U+~Z(M=u9iuzO( zUnCNN&xTf`5MG&por)~0aCcbiK`oa?$-GH-`1M+|4}B?dbV2;xwH z*}M%SNu5$Xn@oVg_IuaNK*8m1y%lqxg+MCALIutDF4 zRc;hA5{N0$P+q)}aylGPR+v|TxCtS&)Wy92)GY8-ypD?*3^ZQNi*$}OXOoFDz9N|t z=R(I3>dV^(r><)r9VSMie2$Q|u>p-)G3yExg@HL0`_~naQ?v}Cn`>~I^Q$zDFjb5p z+N0wWTcRJV|EsNZ?7cy;?#jZRAZ;!S8{Ynd4O|QiB@!U9psf5JcrX{lsN>dpSkDde z>j*u$)1!TmUoK0ZqsA?)=0OMy=D_XJbIli~Sc^mFJp-(djp5p0sP%hGJu&Su@H!ro)G z1pUmZ93rpiPTDGo8qM_{tlI^WiPmeb2k`HWPp`KAS*by)p&H@ebs^uEnNig5>@KuSw`(K|891>GtBMd>bxl<8 z!Ic(Lh1c8I5OHsIEAy+BhYUo-t0Wi}F_x2a!_x6bw2~EzuEVe^m~|ON28KUAFCxyu z>;uWkdLbyd|1=Xi+q^KqY35?CoAoqbu`G2!ro$`@n3AZ$SaUM;~zSYq?CjLM*i!?&ht$t03h--txE6Q=dZQR}mq z)-Bd1PryKS5RFS%E3kWMIXBc}G0fiEXcqM^Df;$^6l46*DcY~D4 z>Q}-BHNQ4YOT|s8K#L4(RwNnTr}ccw`dQ#9u70(GcZz(Bf?~uDtJoIa^>~4<0xj;p zelH-yv#rp5dZxKCnW{A!MD{t{Da}DCyQ8J9GA*mg8=-)sR(L@j;FB1YJ;c0>ke`FK zrWLXAih4N#2My6oRstUS20ue-_20_52IX0dHs%3KE4t~^eR8KwRWc@}8l)0+a;w$L zYCtPq@b-CnnZqvjB3-55>_+3!Y4mCfPSLA1EL(X725CnH!>BFr2#>-~tJ3xS=7de2 zZh|$#6R`A#90&g=HIiDCC{+aB)j_7>WiQh0wnW+3W%TKa(2IE3&{-);YLVI?Y>@=` z&*Ryp4wrbxnffX~Vtf!el^;>x(Ww?n@ za7=wR@VZtys(g{#l>bvOBIOOG46BK!c_D_3Q;C~YxT7*=jWsde7_C23vePt6tRahm z6g%1UC#)@^yQ7pGHF&^VZ$%joujZ#Vk9xkKXug{*F_a#rysix9_77(4e!j#NnNPInZiMZ3zKgVi#rH7EYl0kyRcNGoVViaw-TgJ?aB(ZY^i+4bwXqr;RyW*@TjVwvT7>wd}sD&I$U&qKokTW z5LS9chO#ya;;lz^!EjgI6s6x-HKBlGJwY(v|ESW6rHiOh=7K3kA=W-wZo+D~H-UJA zE+ZzB+`;4sgWR{(8IX7&5s7XDgzAb6DAE0no9q+>kc{0;CntyL6IfpMzUVK?Z6z#O z=hWew!fBiM^P(DDH!4C#b#=v*0TduS<#UyrRchjJPWf`ZB&K?rDqGXOPk8DPzOc5M zvXHR$10|+i2Q%@m3Zk>V8knj_8Xa{IsEA&o`MREC#o&pV3;i9YlK!8^rqV66pfPozRrVGmp6@3oyhjW(D-8b zAkS{_yGzW@p1)nj%-=Lb-faJU0$EN9H%Dc+4Qb1ogc*jFk7!H2{qSDc+L$FCh{$Ho z_Q_*AJHg{nI&Ck5V|+pe$6*CbhVT9UH04cNeC@VK@4Bb05he<+E- zxd?@1k=s7Rgv#V7Y?|zq6l^2uc!XcXHy-6SoxGl zD=_r}yJ}2~zl+T(x?=F~A8~yZOlie0i?Qw?FJ?Eh6|3G9VQ%TLK9UUk2&{il`%6K@ zsZO55YsNIv188c0e{mza-wxVFCLY9!Q;v+E2sWuRSJcVGvl+c=INMgIs7J2=6?0IN z!y;MH%D@l~B?b4DCgK~ZQzrV4np~xj)#MvYckz@W=_&C-d~TU9T_@>zm%vNFFY=&6 z#!Y(j5i0*WIFGaO@a#~@=!8639YL=14+EFAJjTPsm~gQrvZADalG3og&)*9NbTE*G4e-nWYmt4 zuejq7YrLYL*Ly_vLX9P_q?40JMTY<#^@4_x2kvuE`PgkM}6n|oEuM1`<*%I446{wFQR#(;$D{j2Ty5URv z3KUl&ri2+pxQ|!zgLl(U^a@}2L`l0#WI5tj;B(C+YHqK_VLk?{ruGz(c$>yWH{!M>*1lztf$E$$G{=(uNQ}_6!zu*w1^GUue+#F5H_8G zrFLV}pt!r17#>hVOlJXvkH-a2s}gDmo~CZc$#=<&9p(4juie_%%T;=!g3wYukcUHy zVgGojBCv)vfhmx7>$QH75j)SI!Im-H{x6l|EubD{^}n_HaK)u}UjW7FNQ&Jxg34CW zyH6+?Su(GxP^H3MBi)c^_p^U#SFR{{H`URkhM-II_L0%P&aE%q6mu|g*v+!fv)Ge- zrWl9p#M8ZgDOImySL)i!pBk_7w@K#CMpU5_eHDW_xQ$LCd#%qJt-X>` zUpkBu42XZN;OIi8&$~k76J|wnU7T%*pDS*5YXd`G#k*{_tOC@?QBB1|h1B{OO%Ny=Y!=6;aNFzWOE#<&V`(si z@5a#g590gTrBEb)O4bA3WXCXm4OCf1@!wVa9-bjb-{&q0GfX*7tr8<-hU!RksSZ+7 z2P;y0b+7QW7xCKOk9$PteLwm+2R&kkOb=#Ufi}%!{c$w9e>6JgB6AMzC* z4v+4iA0s*rBD;!Ynqgir8)~~)dCq2NW{FX6jRgGRypdYHbb_U|31aos)qvH* z)(MXF`axOVFU!&tAu_&P@FChro2yJm1%mb-cKoioKBvc1aG~h7pODA-5I>p9Pd>J~ zv~mg90(QFq3gZGBe>#g1Y|llCYzLv(T;c{`$9V+@{yor|h{{U3B=V+vbkHBtpegyEUB_>v6FWZdaWsu`wA zU{{!-<~W+|rf`&Co+i~w5wlq{!db*Mj~Xfz9?YbdIXVfaA!Fs5I;^Y)R_p%^Jp7Dk+pEj~g25F|IC%Gwg&{`%FKtY?*hGeq$f)@7{6byqmMYhPN4fNLl$xv@GRY=TfJ4|l|~y4 zoo(IDRleG-2@S?97C6+}(93G2tz5jGDYDn=k5qEs8=h(zXXH?hkmp5xOLn9B4Z=>v z6q!C6O>Z$(c1&u{4#mjy`Bv=kkiDo5>*r=b*D=ZFs1%<167PXSzck=4ASF!+fPg822Oue3&5WV1kGwU4d%rW)Q+eK^(&6c5E;oL6e_Lm zjJ6MCmqt@55iCRC-sJO2KIJuCse7bfcpDXq*wX9`VNYgKd(%tpPEHMz8Ds078h3KO zw5~bzb%2kS< zGy9V8*bF|%3t-Ts)2dkxDT0Kghub2*N!p9jz(CG$qqOQko#oANXa|I{Ng18V*1Dq- z>P$P+ic)i)WWw_3&_ExQ-b0v&h-~;Wf)|%5)y?IY+*NQNwxz(jq^-D8n&3OtLImvs zJR3z(ba?C_Pi&U5IvzC;zRVttbVhaU{8)ia4o^(VTjf<-`emEcW?^v^fH^h4QG|sB z_$W!&QGodmZ{JpfL3l8?FDpbOmI=lo0IISv=&Y5V*GW6wh}{mXf@PJvSmL#V^+&E! zu1`qIOe58x`Jom!>q0Z)ppt9G<}-~LvRJDfu8Bi5`#_Rj$_bkVq z_A+lNU2}Y1?PEh*$F=ez_J_D>PDUE*b9?VMyCf+uY#R3?qw%BH!!tNgl}<`MhFvFt zKe8G@!Jvwh@u| z>@=4s81mNL+eY^7{;+rl-P=a??fwWkNZz)4+sMA%AHR$4kMG?5$-C(O)Zrvw9l%WDx1q)OvF#s8O;<1!ngVZJqBxF&^KDR^enf3iOyDXeBA6q6&e_v zn*;cY+}~1GdZ8^*ShTYDV<%%5Z_!VVk+}XO%2zkwbj)Bkf;;V%qF}{D$GWC55NtYp z_H6k0v2P4OPshX2$7X}3q*+maQ|8gJ35F}XPd%u*dVKvHwHZ$JlywV5 zb%!xNSf4{0J!hpBMGo&E{hAKsze>KPgsj>FnE_i8VG3{2Dw&1wD?U)H5mW0~rgWt0 zGWYEboPRyO`YUTl@CT>8!9Hl%c)LXVxTS8wuMslqsz4@-T!Ps=s96ZoifeQl&n`{w z&sEmapjJ}QqtG6abZcya8&c3Dj~L|ECg<}fPvNnB&DOb7KvAJ9QK?YAs*?obw+Mn7 zf?ExnS`vL5!@h#ILA*B_HlWGiE)>F)pDROySh%aH{zBy1h4Ypd0~;AJKD@$8NZ`SN zDta;z0u?t9j3R4rhT+YF+kg?yjX$?9BZW?-w?SAv_^Q!Q75G#ntWGWdv%*F6;H$6h zfAtloFq^QZtayZ@<+44bNl-)4UEsHaJt-@ycdE3>^mhNLas1lCOe@Sk2jWc6TVhU1x#XWB!f~>17BU;h0gox|H)iM>Ei6ZD2%OQPxZ{L`sQ;%5* z0gU&c996{@7Ln&D{M2fMVM>}7d7w<$B_8!*cY;H-ISz@Dg0n7>g63OjVj>lxfofDU z92K%BB7F`=sjS#^>^UZoVzz-T2RPp;DWj#iOFpB`s(wxWL23+@ZV*xaRRB*uXJ zn)V$qU4DetCtPu@<>&je?I2(#e}kG$ShQ zfzB2C2hnILbx9qame03NGDLxNccsPSe)%ezqv%6XR_SHdjzH0_JVq()=%>*?ivOr9 z^$-pAzkKyL98m4XZR^N_nF75%FwMq-z99fi^Cs#X5{(HQi4XO&Ig%*&Fp#%d@%Yrq zt7QwTZ&b%4b_I(+>Z5Zt8N36!%P#w0o!Fo>Iu13(9($yuRRC`tKDhZu&@E;Tb_nHT zl1D=lr>}|nh*%gz@=|Ps?JSzt+rP+`8j;P-wk}H5z2 zYPab-rhHU_!qsdvs>=u3gR||*BM*J_8%2Ag;BNF$NW|B)={7;GCtKZ!`?qNkd%YE^ zP#0tLhX-8A_u?~=v{2f!)sM>*jKgt2Z>k!MA&JJ2mI}$={^<`}xlO{9Cav-1y;x1W zt-p!mLl-NswS-t8#nF}W3wS~=w*D=AFvhtw6bOQhSnw+}5}{Q2PrA*(UKA+5?imQP zru0Rr#ezZ^gN9gFJEv$X!HTOg5S-^Q)AF4V$}Y=8G(Mkj4)O2(kfRjwwLq9qBLq#Q z@RAz76nG&~i-b}!Cb&gn=xz0ht2kTi;)R`m^|xDZJr4$K4?TZitZjo&)S7Aq>YMU>Ub3F3ZI{mSW)#&8fV(knC^g2;rGz>jm(HN@G& z;i0`&h@P!;oK&mV=aT9B4w9-|AtO_$4^hve+S&A8&y$_ps|~5N*nDT*ILn`R(@bf! z20!g;2@ZVlN$6_TF#-J=!w6@*;<9JZ@CGevHmc&t=6>bYFiFZRX&b+jtW zcp7h)X&m*(GFJaSv|byk=v+vHlXw>p4#FmJiv6Ea`fXBXE$B^u^5pTu=((y&#>!WA z@!X+0=UIiSNEX~Eb|F(ts1Lu8r|1ictm8#?1Gj(`BCsggzpdHG0P#Q&HaMECFC z*F35!RvXZE6J_-L&iEu9RBS16`Hrq>HAn?Zzi4lSt_rtt`@eqhRvs_g5~uGFwy2be zL^99YSih!y4#USJ_e)kK{Z)%RMEK4&&oAF$z<9bVrZHE`)VZ_oG?a%CJe;#;6``+j z>!DfU&Bux#AL5=r;jr;vs^_7&N-8IKc}a-w4XO~f7lQhnpvFZb_BCqCyz$s%UA1Hd zu9dlo=nAQgfj)}iR$B=f66!2-tq0i*jO*LoobUmPxoBX`pn9OQn$x_f-{NiyGQM2{ zwUQ!S?@HX!DXmQZMokSgR@;3Lf13RHvjzZ94t8HAr?kowiuSMZK#l*fx@(KC;=2!qX71^{Vil^W6kS_=bBrCZh8|s%DDZ zJG^Obv}|?|7fEI}QnOU>L$7|_xa7*2m?z~74!J)yg+o~dh<3xop~aLWz5M+w(F6SmdyDAFGenhKWk4BoneRyY-y+`aDB2?D*gm8NdgcSCS!3|x_FsPs z5xqBXticUqI_FLLJ?Yx)C$HtAyX&;I0-C=2Y3w;tYV}pPL2pzicacq{|AvteXsh&} z4(e!BT;*L~c-MHem{n3R;edKsUMFXo6tdpN@T6j9c(I5i>AK#db%Xbcx zPy@O6{jUa&a23}v3R#F2$-DZoXtjs88j4hZcnh67q3WP9W4<*y9UYdVg` zCst?r4tklrH%L8WSGy(Dx&0p)xQYJHwgG?kOkH3sM@)LaV4vg#m*hX)eV44^krn#{ z00ldi9vTPz;PgqN%OXuSI-s*pwng8~fnPR=r8=neF~s;^5s|u ztWPx+skZc*JL_Q#u2@F|+Uwlg5ohkk=V#|e1szS+*7fv)E;FmjSwJ!j=?$+F34<*`TU<8(9Hl&hi-BgKl5j$S} zf<3XNacF9^Be<#=J{va{%e1N?WrO_-1NS?)V>QbZiYTv}a&5@#$F<({23 zwv6X%V)b3K;0ZRdv|Q^fPuVtP!4c}96ZqpMyAoR|ET<^-i!>BPdPP+s zlhJrGaFLiTKY<&;A5|PomxMa(U$%LY-3C0q%Yeu4Yrx>{pqwiW45M9UMqgM7D0NMm zwT+dK)UqXy*f%CxUj(2O7$+f@pf~JMAWeP3oWC`&SsGE)|KY$N`bc#+e(Rx|mfqjc zZ~y*|`nw^{w@1iCv&f^5SMls}8DC$PEu|8~Kq?5~$s%Cl(@L~W@0cdqW~||0Ed|HW z1obFO0~7NCT7c-TXl4mfI)8plsju^sb7Sx?cB@#&+yix8?gg&sZWE&eehB7e8E8^{ z)xE8{nlo1cnCr==IjNvKgH}{0G#vjXbsrB+>NQZX*>6EJXD%d zTEsP$WmvKMJ0xV94}FJVY$6?V-Mc!MPo;}bHi`OT(!ombZp@lAeY79i5#4G9bVPGY z6e|ZgG^U+V;qRpYyiBly&~mymB91?GNon;`=kIC>Ka`Q6AA|kO>Q8u2jFvfPZI>}@ z78AZ6u|T-6zpHmj{K`yK^;O4}&Nv}!JzuA+9l^|KYUJx1#1x>tQ&}pKL^}jtBF;yZoD=P&We#dWOSv4OFrY^LY`Ec^#{Z1|g$*$) zWwgX<{T$fg@0YhvGdtc7=s zfP|7QsI+0X97i~Tt2V`QCpn^K<%I`!2l`XwP#QjMRny3kNiX}TqREA%5d9d#rr=<| zjMEij6A5*KnI;phB>tqy@li8BDC^H#8_2M(p@=wF#%P}acgHPm??mBD@mm~}Rj?=X z0*B(N8Ax8hZx_>G;!gSESxRf9Dk(Nk|lO}&4PwJ9DICq`w?^rQKW)2PTi8{U)CG+P2gJsn(fB}e!J1D;2&#hV&hy zxNW-?$U~B6AHLSdrQ>tyCoZ3LZSks|G`_E(7y`2E)DA}7^?Mo3ftRDQ&kG+COj!}L z!D{rf;)H7(Z~ujQg0Z^Fy(Y9Ex~h}&ea*fAusZ7J7i4ehv=(M~^yv+Aj^qxd%2=f_ zjAu@t+{L>U+;|#{Qj0CJzLlzXw`DQ-ff*u^2_83bC5Fq~?ZEUGO>BvRmMq4dipt&Y zfRJvoLhDQK>cG+s>!v3P-Ydif<1OZ$`D^7$>0NSeYHSQj{{*rm+!1c~o&(#Rhwf6Q#h*oaK2Ub-* z9FaNDY$2LCqf@5dA-vH)eFx(Zcc|m5qK+v1tqc-X9)P%v#?Tzg#mhLH`(=J4G(3Ei`X9d-sQ0+p-c|cZJ#>Unk$eT)gCu23<0KW>0#Z z7dcXDevFUrXYq}u`B0{^wr*UvI(HdBf+wZi5widZ2uTjZs5_H^>`N#cs8!xqQK>RH zzMPT+T^Vyu?mzqurH79FC`B_9Li04?WI#l?n{~;3jsALGt9l;?Wh}q0t4ys|M{V z;iI!?*4XW%RlF-zw`Web3K_@!BK{Ds=+VBt`w`;u9@o3OdY+m>2U`FGaddY2;$K~5AJGZXDF+P$c$f@q*FgP|_7lh#^ z*r2;2*Ww`_gNsDp1sX-lp)f_!Y}U$qCHGs6fj)P~)_9|~3oM}gP{btZR93N9H=I=y zm{cy&b*v@%41iSDJhcTTYhsc_8WW00R!RfTIPIZ%N6t9Of&SD)*&};6Flu}a623N2 z$u<=to{{7mt35b!IlU1kB{fJPD8x+9D>UC(80&YLlfVxAClKn^F*w_K9Zyys^*2bT zU5SVK6JSE2j+~{aH^sY9c1~?9)F}zC+<0>+NTy@vUTCx-BKpA1yI5Ap2S>*;6?Sy2 z7xYr_{%{o9>Q1q`7jXz3s2W8|NWqKt`yakl+1}i$aBB4^v@dx;H+t_e z#%3o{@Syz=Ox5`QR4vhsR`UJYFm|d8&M%{{o$N8yyxE-bFPl|9Euy-#i^xNX*$mDp zra{k7@60{kt``&pv(@OHso}BIoW-_zpf*VXG|N}Hxo=XLPf>n__IXP*m46Q%Jh0K3 zw@0-#7xdgEbWl|!b%JE|)sK{5(r81N`6Ryd^XRyXCbOOH)*L;2wTBJDWrfZY9So!+ z$bT!YzRLbeZA7aiTWl@Q?KK5}ZvW0bpB#u&&p{d>8@4`RUQg14HcGME8lb-Uy%xVw zL%2$dMVh5?G{(RR82OFs)L|W}(BB4_hZ+vOF5q|l5{u9$BBmv!#x}(u+nh1gyvJi@ zdclxo313zPi?Jv?(_BdLHl{H-q(o9N`pyJKHWB@aCN9zj5m(%8WbwT!gDR^xT<&H| z%B@qrS@miZEU{=%f6V$`2BSa3{cSg0kq?JLi7KL_`I21nJ^OLUhpyBnxaC?k7Q?ss zGK(^}y?li_hVz00%dhUa8f>379ha)gvbGeJtPK7qlemP-QfUuN3!<{{$g*E@55d~1 zI^^|{P~>3fb#SN0td=7VH%(T)Bd)eL`mU0W6fui}C>;=J$V_Yhm;zez7ImEumDr759@J0JKHi`t zEcW*zDRzSc9t^zKY(2PITLLQNV2obq3oOt`>^F7lqOfKz((e*FNLU@X&4!6_W2Al-31;f%0q#$6#zMG!3#NJ)-l;3T>7KrvuYf19jtS~PS8zA#3OsRP zg<_Ad$T7xqqbBxlextn%Up)7k5W>8Tmb*2qN!T54{~NNbgMN)bE5IvSY(;gjeVp2G zrrpMpi&={OBY1gMt7I8dkJLMSdIr5L;w*zupE8#AO01G6>705VT+y}BwoB}W+?Yb%-!^JGip zT$6Fh1@~!5E;1g#o_#gsbE@3HGu?I{AYZSaNylLw;&5hiUpzjnCx%%9M*(R&km!)llG?jfavmlr|6KE)On|wy8S;`NWsvT*#M#$ z44r7bZBNFiFgWfkwl`yw!!IbeOEN>%r*Dfo#^ zicECVZ-UIdxDN1B`1{9W{9w%5tNhVWeMHKC_*v`dZh!Lkw5eGu1$3#lZqLVQBDa6V zrV?j4PLF{bz~QvHr-(NKle}}5-$A=h7f}>^jrCI1qY)j z=`7e(v@kAkvK2iEE)m=W=re^{(I5Wm0zXuOCamM5 zpf97*qy9#850Y<%O%ALG`Jp7kFY&ZMY61FwCZXEy^UNTv?@hqHK|tZ$-+*F~Z%DEBIjIDN&1LBMz8D>~*ie1$Aht;Vx0qXKcMIICVh9*On4yEzP!@R=a zl8;BHJ@qf-RB25(X!!^oEz)KX60(V5_DUl((MKk334z!2P59GZza+vPgStx!ktj1k z4;x6*t(F0ew@Sj8#z9YqqTw}K|{99WG3SFuW;DN;PHd>{3aF` zrz=c)T_s=~u99X(HdB74B7rI>Xk0eL(-HeWPl{^A{dyB;H;Qj8 zRP122nN{q{ba9zs`%~8d=|JH9PRd*7ZI5^&|B|Jq)WrrsGDh4Z)XJB0`Zm zJ>{z$TF5asW3IED$df7NCx+ucCm}IiZLYF|h|~8j=kxj(LcBOqGVZDG7CXaBtcs ztK^C+pLDBL3e6qdLRvWdJ72y+hLw0eLkVS>hgPllG#j-Qf(#yt&;&t4L__b$N7kJ^ zPm>iazDSkm=p|wXtZ5P$Rq7xt1F%p85W-OcJ1v7$c_5?vCvXJ9|0?2v5*An@=<#(c z^f?!nCD%z&Rz{;Xdcp{otK5=*^6=#SMIWi=`s1^sbF(i~QVYBA?i&_2U#`0xpAC=B zDfgoiDLyxg+l`&{(fvdC&}x72o%9uFggqhr{I9z5K(ASaqTpY#)?FPDMX7H*yMz^n z00b!)XDo(rtL)eJ8VX_wWFV_z)hqM-$LLKf>p?~{lDfhYLeG3-&W z{9ZkhU_VV3sh6NFE>9LW8?q2#6l=6bR)h|AiDg2fdbUfVlh@6>P|YZiaRqSbpBnhP zXvVs}cj^%9w%U4`#TPaNddE9_^zcda$h6V%_B^VOtV@4kCF!!cuiL-ynE>IH)yRXhHcdnHP-b9z zn{Ru3SA2f5L5#rpcT}H>-@! ze0kUL%|hc#GM1l+!y}9lxl?LQ^dEz@HUv92<+=MbCxF<6sk3r%-p-^V#C zbVWn2WuZE;bj~^McAc)!TgOZxG&m)ptZ9CuUx0Wu-K{IzvEzs7K^WXqht4k(Fq^X; zFG2z{z|jN_bC1fIz}6%5G<9wT?M-sASyRD`!y`!BT7b>xufA|WHdc$1{pv3nibVpa z%KUF9VAuV&>P3yu&(83FPfrIv;s{&cDNwr&=9mzST7MFORe{vk#2QSP=KJXI_+&iB zsouc956_QA4l2vogUcI!u>7$Ix0yR-vzSCM@Sx!Eg$bO+S8)nM6j&?^;euUZwUG$* zM~^8Q^7KVS3ij-EDQZ$_r3Os`iYF<0D-Lw*xH7s)bj-)V8`vo(MT;cXuH4f+n>*D2 zrUxXb2ESp4Ys{9~k~0E^R$|}T#;RM}+_mBZQ@@T(=T&w^qZ}c5>qbO$aX#k6ZV!VJ z!yjon?cR?p5TLis8Oj5%K)T{!^fIA$Zk=qQBX~R)H2Tl@Qv=#Hcb?&uI)-(TBtE-M zTM@caPSIJ5(FuC>qtTJh+?Nk@2mSTHbQ1M1l#6k(%JZ<+5`SYrHgY*Mmh>8D>;6br z8AQG8qu2pg>@vHm8H#)RX(K_NN^cm^Ll>XvS2~=yC{6A2RdE15=v2Z09NZX*J4>fo z?|W903_(c4NXh-JDR!EW*hqdwa7S=ai`X8P<*v98ih39urBU#WB0>UQGrq>eRV|^A z;K#Y?5KPcacP4bAtc&Q$D!xkd=n=RJt5xjuQLWP8t~pfTy-6HqVGebZ9t#R#>FqAz zB6*!j^W^7*H>S;OY=VBIi5msZe*&{h|E2T(U($%5n`&i6Y;lr&L96ovr$jYG03RkB zl~$XvO+A45fhXR?E_s95G5fM%BPpRd>5Gtwq?^IO+5^695UTv+1~#PQr$*)p7j5UT zNUJvjD}J^_{BMoN>+$mm*-BN}pjH@uldzPH>K@h-k4n12|2DJZz-bza&{brpFy5Cd z$sDv|n)5DJ$+FqhVtvn0LQk=&;#WyirVLx)izrDJSmtE^*fV^$UFO1ic$^~~7|HbU zRCE0Qb(CpDC}hx|%+Ik}hv*faJ_%nIDjm z)|K4sFMk-S(($r`b?V*Tuo{YWv|C%ZTv!!v7+jZuU5M*SQ^W{c z4;T|#{7{XyeESNYt>81=e^eVVRSSPSUF(Aa_0loUHHI5_w0MT=CBzdfmkV9iSQa!0 z)CE0NMI)jtNXe;NwY?m%r%}g#SBZyg7w!msBva8R%f;vsR(*XA`Tm>+XpRf!iUi`*`IE98CR`A*M$RhMY&dIFtyqzX?iMn+E&1 z>)`thHhBHexG;5%YnnLdeE2B3)*VDjtw7sIZY34`uO4Uok{qMdDkg=!?Q=@I)gN zTfEjqaEK{`cXg9eJgXkB$-popQA>A5=B~cG4v~WfkfX(xnpvvl$O&|gKe`rMj=(>{ zgO8QeJj(>2dpYNFA}WEm4h-XSZ61rR*Hrtc>!Bb`PIUj|Ci*Cfzm>I$J@r%3^heH* zdy1Z=(KnBy$2r~Un`KV$tem0{?aHk?+{mNMhz*ZYsyN$pjT+M6+3AHE|NT6}#H)Ovu9JG&(@{cZ)oqCH%YC zZQ&n=xQ<f;zptkjJ8!NfUO@Y-WzAu0;$pmAecwpAFdO^-)=wms=S>`C`=lM&uw zN=s3r$SbfZ95~x;ONx31%w>if${tb?IN&PlABx`dOPIgG@ zs-m`1c+a}@z@XQN>pffKmLR>9MF^+SP}lSMd7<-T(oq{}1&gdIa@Lq#GeT%G_Co;2 z8p?tia*YdipN%(9WU{+OUScRej{0TstxooGB8?$4A+v_Rw|Y9>qsK46Stl5mw^Y-l zsa^54zqcp~B8TZ!$nA}>3IxH~?kylE7&+WzDBCXiTi9l-M#LMs?o&?SyL~H4d%tg9 zo@RwOkuR48|1j!Lm`@qYQPl{i9QKw+z1AR9Wj|{%JT;#OKJAvv=DA?U2Ybh0uX*%z z?wAeu_x9BT714^f76k2}>n9aLt&-NA1wu^|Z=(-t8hHzO&~mrdcXFTx!%=}f+PwV_ z?gjTXhyCsa7~c;$(2zx+aw3e#kwWpGI&u2B69rO#dWs{}j@*zLyOA&Rb)0eNL(-Le zm!>_7NT0xNt2)u-X{b6a6qcM#5yM>+|G~=?$607J?W^p0lLqahB}y@?_aHE>b?feV zvncI;&Dxdtyji7ozh-NJtg6v|%X%H$q1)R(N6YsrU%_gK9z@{Qa$xi4{0Xrx;b+n% z@Vqzv@dLW7=gAe&;VVw&^9N&+6FjnkJJt8({D6BZVeJjaM=Cu+eUrJXvUo2z^vz^h z@VQ8$(ZwOb0ZyNhHB8}cmiIHV-v&J*26_zkP%&FFE(A+66z3wC4u|G14PQ-?%aZb& zxredlZ%i(Y54hN5g)j?|n?1d#6AI&2yrr!(xFPJ>HD;Llc*!6z9qgx@Y~*t{6X}BJ z@QVr4a+d@$Y7$E*%oYk5dItA&q*zCN<7RMnwbqkmWDL4(g@f&ZXe8 zk+657`89N(7~3t<(iYlb9RwEyBDW`Qe;%ZVLU&?wg#~8e+L!==aUFogoPG<9_6C7S zgT!fgiI07REp&Yrtlf_-GuT6%tF5ieuwmMd^*4g0{7o8II1Pr=LtUZ?vR- z_YYi8_5$Og6=m3If@qG?RQ1&QjUidpR&caM3fDF3lCpMg_x2BI`%rN<_hnGU@Ivtp zkrt?nu)}{1P4vBP^D)RXS&iOzcb|dLdYOzVpGA9xRxviFcTmsNn*V-jma(5C8*mtN zVuFEGUNS2(m{6)aL@X$(DD2>|&d~eF@Q}c7526K8uiZ4m(%u4(X2tt5YeLr$-SXRp zuZO~?JCF(aXkzEA;MCHxq6yl$Rt~Xghp=lOlJMaH)gBuXW|DdfJx^HDD~f&?p5X@Nn+grF zVt{XnwEe&Ay#2l@LzAyH&+>pVL+STW9nc^_(+jW_G8~%$`2; z=g*&3*;Uz9c{;1ICbO!0daS-Mmta|NfyD&^BLo%~mOvnRxd1Fc{D~U`dt)IBTb5S% z3L#4f@CEVyM8q4Bkw4Ylv-^36m3F?!3=29H1sXN^u z1tpYr6`KqhLm5kF>J4!te{zw`Qv}{f#`%FcooTo4pAu`UvO3fx9O>5{CmgL)-N=XX zx*>BJ!(}>iaN9OHP0~`qT*PhDoY?PwRp-R9OdMp;I-aJ=9jFtil(-I9gcZhDqv|!8 zk<)jUWEZe`CDC(bRH(BBV=tPIXHw)h)9uNm34mG$1Ibre(rvSDh6xXkqnL}&$HxZ* z9i_y{Ts^}uD>r`?5}fH0yqj*KERFh;`LdNvKY*cd2`9-O#vR(6YZH1X6a;&|Sq&UU z%BMu-q90+J5!D2k5Is?y?VipnN0dX?3)3`MDQBkln?shNdIK%EO?Rz!ZssA+Zq?a5aa{4#09@S24|VTq$3goD8(BQ!U~CM7hjRCo2XB$# zbjlEf2o^&sL53)Q?ZaRUfI<1$>ZMx>vcrQqvO|B}HgO$p3v6+ktOC*nYkU>If}jsl zC9cpNRw_X_L?Xye$+%z~yJ1HhM(;;QWBSj}m3=qfk|L2RWSW65v`yB*U-ZLUg4|~a z^b+$=4NYPzOX3ENjG6F1eAWaJ#BsPr8b}jfY$HuU`e-_{5|XWQ=@3Mbyjc(*3k?Z6 z%%7n;z*A%mkSY?-lMJ|ydqPIScUjd{uzs-ONHb{t@=5g3_c5rt1Fu3f+=GPB_$2D* zYX>mP&7-0K+IMgz?PojEHy)o*077>}_E>erOF!+QhFvGA=D1nK8)a#v0Gy2a zqZ57RU?)X#f$u_dH~OlUj$=?gk^Yqd^oDez&&Td16+gwUAcNOL+c7q zc^Pi$|9sfG|8dOvH`1CnftwB%?2fJevem^k=B#VY1}s@=#Io5Mw&ET35RiR&i243T zTJ1m9y*I=JL*};5k5=i}P4uT^Eu}wHGrWNmXA7I#$TiYey7&eKF15U`4xWsnw;OdM z#wc$Gn*8Ya5@UyU1DX)1#Nami7N#-WJsbpVvyLbeMwEmb9`1E*c@!S;sBXxk4rBg< zN0mqvizhZ0`I5a|)X;fZ?CkK+UnJ_)fy;p^lL+`BWa3b^>a1m7gqs+rh1Ps z?pIj?F-)pjx~La=Q%-YcH=Ha>X6OcQmMI3N*V-0W9zz4x?8eo;JHQ&oy}3m)-MA5KYF|F+QgPz==uXXw==~aR}gAydRxx{TKwf zmPEf1eH|B2jaE7dFB019W$+mF1w9@A_I)DPTfu6^jqm`X;Sj>w!{H%$L>+`!8=W1> zwTCi6>Zl^wJa<;~LQQ6~6!hFOW!8akm^!^W52orA!G@`eZed7#1)rRHs$oq0P2xbd zrm#XG^!tm?ze;A1cRV217n~sVxdz|t`kf}fE>7M zUIPVBMP0rkU`6|hEXB37J#m1y2f{N2dl{$244aO1>F6rR9fBH5roXV}G0!G1UMwJ$ z<8yalbi20X>Pwe3>z7QFC(DmsJa~7Vk*p5-JiE$3nR?1`1TNMO z8JFFAkL3OvaL!|T{m)wbe4Rr%d;*x=;oi`RfvH1)LjY_j6$lYwF?`m2GK{ho#QbnXp#M7TpI7J;v} z#z)Bq>%J=AJc)iGSLH9oJU)poE?Bf${rf}kRmv=##Tt{RY=7s`v4t|^*PBw5r#7l>US&#dpz?W(y*LlXZ zICNujoH`BOJW2>Vr82!n7VTAD#1kOOmcs=Kfa}Cfkgh!({76#wuG<%6u!qPAJO+RG+$siD>VrzXugQ=7%=cqK zvu+=`NAI2xdTA|ISH+N;D;J-YaEOmeU}{ee_R8qP=b=&v-Q91e5d3?to;CdMxAD@` z1P(K4WGD~>yN4fEEMZm>b>N7qN+G&IYQLWCyVealib)O^25YC!^QF4iOUTBE&^IO%xJl|L{HRX38d6)eLPlelMT&{1OY52g|yW)#dQ!vKS)iS?X zI&J8&oZ;>LW{NB3PqZ_`#z14WfYJww1&x+K=?iME%dP2UrjPliopQNt=lTIO|Em)v7w-b34h5K(^;N66U@( ze}O+$ZXuioH@TK})(I5sq^e6aOO{v*?dnJc(UjagpCQU_f>%^;e0poPMX?6hIC0|b z3wVnGn*QJ}ZA*Q18PIUd2EHDa=$Iqn5A9V`w3BFdQ-`<8-kLwSKWe2&VKc1ni)`E0 zuIRF0KYntX+Fu>+Ym#9+YjVG;NY2_s*RJo7L%#2PQ-8 zmynpT05d%BYZ?#aN_@L9ta=0~(4w028i8$#81B1&3!`byx+)vPU&Us2ffQ%3=~4&` zc**=qoR5~XOx+61qGl7`Up&|GX0)so8&0|#x|N!(745ReT9Ie+io~GTe^pyO;Z}i z_cczTz@%5H_#{mfQwjYcmCY&}4E;dhyjN#6PXb+r(V2u%Xg83CvjGrn4YPBax?`85 zo4Sq0t~zX^c0f!5yL2*0^mj89X`4ym_L>LbWw9D^S9K{Wj;C?iwMTj5hrrc3$T?!7b zpuJCxe<8Wnd}TVMrdT9Q(x!$8Bj4?dC_(&+@^f_cJwtxPWT}4lJDrg^B5MF|GUi7|NK4p1fx`Y#T7Se%LNBv8~>z#f+VkPs1> zi>?wb@N%BjLPB7oth1uAuif#F zL6yqSCh_!b%W!AS8~dfj!Kx9QsXafPsg17x>iOv@zO{GP?H+?#u>_J$uj`60-z3>0 z`9Au%fbHjtLcI^r9YC~;BDrnEN^t8qA3&g3r~#%w&|NtUBHX`Z5CQysG;}n)jEo0) zwSw3e^%n@Sk6G}NbT#BLVE0iY)qx7r`j5JUh*drGh(_H;#97=Qdq@{T<_rl1MTa;* zzYv-yngwYua-@;Kft8Oqvb(=ZD=&Yz2K_F@-Y~kRVFVthWUFwGk(O^G1WwgsWJ=%) z?vk=fc%0C6ym1&Y`AU@8l>_p4uZ#>(Wso+;Ao$m*tjpBBE|iTnM*^1Jm9mr}pqW<$ zfKo!7`w>VhnNF|GMUltTNnEbOe7;j4`gJjhRCYTW?MPlzwY5wU5h9Q#@Y#kc7>M1# z)xdG4&v~fI-SEZb2U54n8kt`{Ie%iVg}sd%tX1p5#`G`LQtiFBJ@h}gQo~+tO;+9w zVz;}gp%Aa>h{L?-d{tw-O|G3rj+saMbu>iO%y=*AfBvQ>ocqQ_HP^>;{S`$&`W?K@ zzGgC!_f`q-Hg%=1YwSf|6zE5Udz-r9%Nl#(Yurw1!oP1^KDSPIc-&i%9MK`=!)0if zEz!0!B-Jv)LzqjyZlA?hS~gP0NOoE<8AFZ9xchrQYb&T^8A4I*2Mpx_B^QI71C$nJ zdT|Y_R=&uU5fDe8B*i43g^)uP;ww~ZJo0=#0=O2yZIjsO$glu37|oIX3<6jvItg=R z+tsmJJgGP2>lr%{fq{%H?Kk21{B7Q@v1eVG2TK_4VkN+i(8bF_}rtTtkGl`9)!vqTNmHc~9sKr`XeOVU-IAS$4PB8#m4b?ScQTBwMg zx^d!J5Do9rz6usK<=5{JTx&-%IQo9Z-LJi;o&4yj0Q-De0o|k-eH(xROD@yzqb$8j;4*?q zX-_V&PEk#qS+vCyRIbkEGM z5IRgV`_TtTvi0+54dHFIR&r1ux=y^%k$6{h432XcxL{!T?xTgLN}mtBB(-L!kuqfj znbgHp-b9KEVJ_pFIA!fnz=`5F8k(82M&t`EQ+b`x8%8fUdb$=}%0#+59QMPVdIjkj zK{u$Nt0y>XcVC{IvI_;~Ypf4@xm|sj z+`7PN=NCxGUo#P;!~HlgL|`0`64#raBn#xAy{gXjOVv$XC-?|CFpZwgeYtkZE_9i{ z`t#SN01vaXwMdg{^<6NnMjm1##ghv#Z-mP1G^XIa`aJ6$az)iX)$;rs_{RCU0s=mZ z7w(>9*APE%RLe2BV+_?-6f!fDGH$YLtU`^Y)(^vAwq>mri_&Ap49yCsGQD?+4`k+r zGxuKI+DdVVmP_*Rv_1ct*YH&l1#U3S5P|Q-6rc0$)huD*pJ*E<@#XF zs^0s(2-1b-vA=(a@8<8l8+te0^qsrDJ+c9<9ziotjnCuk63AWDy9?*9vi&bG!AfaA zw>sk$k(2Res56b!wlCI#;^smJkKRvf{!iipCNP<2k@{AxjZ)@rq2$Q2a%ywOP|AEH z;QjDm)Afc8Cy!C4I!IR0>@dP9;Pw&7oX^vo%qg~sHp_UKs_)8rK#?W?fkVOk-~&tC zNy+}+t+I76YSE*F`z@xf?K`jkwzX=@UDF(g6WomF9G*A`$nj(Qg#UgS8#K@}Vawx8 zQGY6?2wL0RZ^Zfu@F-@5AI(1DCF>x-59bPR*q!#wyM_3s! z(b|+#u>Jt+XzhxpLl=IhWwuUHwX8D*@jXcxnhqah5S>W{0w)sCv!*5O1-rsn!cXj^ zALuw2?hS1k9@Ds-x0`_2k7ZZrdS}x3pqUTUYCr=^LZ{-~paLib#)sRN})c0m;5{Y5fExrKLi6%#D zOV7PzLu>$JWW6FeH?Y+~o04o4GyzPGfq0{-!{9vd?Z-24EInppyHc3(R63p{i6=^g z4|D}JMok+rpk0Us+|h=W;A?ctjJJ8dS*mZ@D?Y^6O{@u(h??Ll${anCin?C=e-|SB-?8nsS&y z3KmV1OErw7w+;B`(m_~vz*H8SvP@%mnKwjBgy*lmgC=lK)F%UcP_H_I@mly9Uhk*y z*nW3Tt-2s)yvXu=rQFFZ{sGh7H}j0pJO9}`UD%~OsYX$`E}W`n{h-}^v z0ZtC7sMIOrlq%P(CsO56uPxHx0a&XaU&WE(J+NQsnE50vCYy9!p+JFQ5n{8?mki_p z8Sp9b)OhGZ1kWf{TS)8*Fw_7|SGz2V8kL@K(rf4s?Ey!&-P!|{GP!*eOENoBW<|9y z*hoO9%K3V!j!h3JmBlMSBZvkDmJvk_%aoy7q@34-E<80?n>aMt0B0t6P5eE$YxuEi z418;Y3R>FLeNLqM1|+MdWb!ZK5`(ZNf=!0wsk`quGG&%ILtRV}eK?n-G85IVYA=hq zXLu7(i_pEqYDL52mFb<+-p2CL2^)ULGW)cz4Gd1hl8>) zz@^JBMNmt}(oKykm|MlN0r&JOza|6pULni{|j`Aj`K!X@XZ7vptOlzQfutw=@?`q`m+5 zJ0ZFhfwr@yb`@g+!QjHJ$1-KeYsR;wGwI}}Xe~(V4^HA0Y>mMqRT6ITb!M-@ANSc| z9N;z97rSqxTztgNnrPK|f|k;W+v>&-7t)XP7O{T2^j=0Kh}T?@xQGkP@xUZ*s!oGs z5iZGgyutCo_Gip1oqE4oQ_|;u#&fqZR2*~pD%yNO`{wJ{Uq&x9qY|9cUn3)ROJ1X1 z+dLdU#{Mhu<0oh!KvKim+8}HiYMSDyx&!^-q3Li#5JPPmqKvWDx5ANPC)OIQd(%GwsadsK=u04Z1>o7Hr&xJ<@q~GJ!w=BU z0|nZ?``_MaqQGLOw^cF-Y*!=13%g=ov~!16ShO9)LM>T(SS1E_48{sUZk_0Ijgl=BVOj=0Q7F`L z?(hCMEhOWt)l?=m)jcs8QRThxe7iSZofALU5bCH(WfzqDxYf zr{dnQq$^z{S}g_XQi(ndqpO$#h3}{X$GW5G>S6dIE-rFi8ape}sUVdsuxt3R5(VQs zbUauQiTRh_C5te&jDm5tn#VeoE)^9yTXd_Z%A&6rQDt}nhgjOHy+8tP87H;^6WbUu z_pj%->pZP0zy922v^U&W|2l3@3M_MsfUMo6ZG?vGV<_o5WBZvM zfFF;Jn`8dNKrwSQ;bk>9Xc%V2W7hdX-uN|hrKO_Y+uh$A+o_jBql?vG)K#D&nQvxu z_3tsP!oQBIFqww4?_vYwOJwLCvm==NS4~>tSjo_FsLZk{(1~)i4=5`x;V$_%X_^}H zK%Jm)R6b{J$Xb%c_KJc+4-C1^)m9daw+I)TPirrc<bbdd+eWCIdV6x2YTdu>^JGa!$TQHI|yPWRM+1{m%24? zSF7@+K8nB^z{eWol~PyO3nHz1-)QWu)Z2$;dfBbyAK-}e4yU*%xB#Gs)AQ$_ej18S zPv-dsPykDHzZ0M+4M7>REQO!rw3#w^WkoLuc!?-1@Wr}Kq1yc9M$|TR15Ppe^D}T1P9kzZ1 zKhnUJotXhQzdCUfh_WbeTkU_z>PqJ?iCUubsQWouh5*5be_bZ+#vc1trs>-a z9E<5~e4QvWEQ{XW#LCE=ZPx3USm55hr?g1GP7YwC&wm6Jk$q4R*&p;=2~i+$o*t_m z?0o~&{dpuCxi`usaHjz@^JCxX(Uajp)IZ$2-+da-_Elq~-gT}VE(`-jt`F095dV0w zz3_*+Z4B9r4@moVw=qIslc_#}+0lR4--86s;hs^ipCpZ_Vwt0Lo$@+DQuOIhMxz=EKpR%vwIpOsc;xBz&wSA3uGG}*?Y+KA7_>ExB2=oT# zt4GSSi@7dH?@dU?QmLR^?#l12=NehMBcxo!znBMzwlla$q*L|nlmAdw9EhtlQ~L~^ zidPF7+9E~1?nMd<=Fh&F3|>b_WQhzh_-hW(*Rzme5$4U(Z%MO}u~Z2NI81&1qC`DH6gi;~j2L{qjx+0P|@I7gbiB3b^R zykr0X!MK$nq1J}-CkB;@1DSDha-LTd6~W2Y%so=a28LtF-qz&=0lVdugMbS4QdJlE zm;fGBo7E?+oq>}J)s&DEDo6Y@ zsG|L80&p``R!$4M@7?bZn$yw!tPmD4`Fb#7S8gsg#YManWggAacOGa zT~fUjCx!~IlAi%*tgyit6-k0H?bP7el|Qp7qyU3f!-I&R;LJxRHTC!(4VGOjOJ*f=!=U`=YzE}U6dJt$ouUY9hdW&h#^g%+Gknv5pO|@2 zJIKEot|<1-DO(%JnFYQ>Km8ilp>H}%J?$^4JJ z+bL4b8QYNH45+omVKk@5XUSK#8iUFe27WMe806C=b8?Pu^8okdpU50c%+8PbiIZM7 zN(9upW|zhLf$XZ2rXWL9WCaZk30|vLt>7Odp*@XDVFefEK0(G&W;v~Vco8Ef3gTI8 zl2U)Zix4L2uHMxMR!Z}%8^=S&A!O3`KYXWBj6?LSekqPc7ibDNOqFoqr&r4@XnJjh zW`H43r}bo)Zc{8C6goxyhWS8+sG(@jCm@urOeHeGx27p?9f=^fn8()qYX9BEEb1m| z8FO_*8%t2@m(|v^arflCs-~~hpqtILCvg#%SIJgF=<@^?o)vfLLHrEYC`190L=)^m zh@}#17q5agF&qaQQ}^IaA5l|#+)$lE;`Qg1Cs!a_;>P`{w0GZBdkGc-goY~qs6+B% zGO3z-CFG3KFJz{;=M-h9CFC|%aWA+i+yWyi!cx;F){0oI`d*t0zKC;3giZK$xQJ<; z5%&ynN%=QwUo~Bm_u(o1N=AC|byI^-FF(JMR2o1jInehfEF0_dISZqB#2KRabStcgE- zG8#qw;lYWz(K`N?wBCW?<~!zj%=FyEx7*E4ZSrR;n{vCkIe0QuQ?q~c@R{jCRpUpe zo2Y7D{Roy|T`K1wLQz|j8u~A+j41$NK%T#d;{nT6^$bD2V7kUc?x8RqXGD$Ud02oqw&P?1Z)=W0^}`d`eUr~!9_zU6kGdaRNDk8g!nx? zNp6)glIT^a{f9m@SWpAJQ-;!#_hGJtHjy4{08V0{*wQrw*wn<<$*bKu1*$Eq2Uq(k z=@H--8ZrLQfMX_;q%89akDDdsU}Xl(7fj_O!QF*)d{=p<>=BejhzmHrI@H(prvo~d zUnGlsQs|7WUSnpMrPgExa1bzRn>s?c(u8cx^|<_Xyg0knKdVw6*A|ogrn254GCSPg ziH0YKq{8;+-_c~$WsqwIlOAl2RcJDwM4yJrMP7M7N9hAHA<%P%3)K=zl^yOhpvy%3 z-}@9i?yqWiZSZ3P^LbI9o`Z(o_1J9$kp)Im$Gt(&Rp$d?GDTaUdPf;-< zmKd3&0B3k*HVed#sN^cXLb^k6&bV@_9i&c3jg4A7-;0%cxJK2tp%K`Dnx{H98@|(1 zR_)!~lHhS-OdNPg0gws={i%h73+^sx39s`R?mjKaw72PEaT{I5$|ap5ia36osIM>P z%6^JN@Oq#B(wjY(2NTY)rvjU2(jdtVXbYCn4wStmnEUKCA1F>gFm({Q-#t6qeeuFS zUVyB5cW=B)LY#NgikL>l$9e#$yo-W{1Ui?MJY%&@0~Fr|Bwhod4g$nq3vhVp9A8F% zLhxB#7Wu-I0tzLj_s368z&haqzxRjF_79&72?r{`;(U@BPa_983SyaT*U8XG^7Al? z+*jA(xsXNRwVZCxW&FXbqH>!v+Yh!U)s1A>;`fDgh9-S*tD#p(Y&5U1IMo}P`Wn65 zYA7|%R#2CK4Frhl@pkwfv*sRk$0)Vf(f28P%$RB(l{YXFq|8x@m1ZSH$|+mOE?V%-NvI< zm<|xQcW1rVs9(m@X~z1<12YUWZRp{zOEyiq_bZ>sXZ}{Xb-zxu2S4$xGQJLe8)BiD zr%3_OO`_A%7HSFR5XdN0X{CTNASkLgR6EGxA|lDP-|rTyb&{2>JUMFHKIoKjB}ArL zTC^vVg)BmeTJA6}GB{+Xxpzg`>0FazcM|P*ut_6VpKd{UK111KBdp3)&Z8;36|-EO zfcUQz`24^jW@lOHtK3_)Mi;sgSynqZ_odUz7> z^r4?j8v>mo`2a+e>YcdEa&^vY12idC(G9XcDw|}2k#?ACeAQMtRy2Q6!zdBH#T#WK ztJ(cp10lG)>~%5&7Xx@6Ej@K_tTvlPDp?(P77(@Fj=9!9YkV6ShFG>QQu+@o={Rh|@bX2K=0 zI(O?vAe3iAiBoWOM4b6JdaFYa<1yAi-$fNPr&B2xBp}oIhh|Pq*xt5b5wnyM4y?}Ul7Bd55b&mYrQv=&B5>Vt^ z#pdjudih$D$DnH~2bY1h5j~@aTEhc{Os!pr2vLNp1w!{X-mRDL_S#?Q*q2>(hQo7Q zq142+k4GCEX2k^HYC`uL&IbSih|G3p{syvt#bPq>{YHAGT4Dzsn&knQGI)6qSBm7@ zbhbdiWz_4+-B5c=mHHfWJ6dbS*s7XA)R1HuSyqnCPLlLma4to<1?f<1Mdid})wLqT zJmGk+LDmUQm4`_ufJkDOC?s}`u$@-Pk-|U6pv!^#+;24&k!TK)v$Ll!UOYu;rxzO9 z8$TWGKOK&bN83_>1v&mgyDX`unBX9mmBNdi^o#*Tisyb*Wi9}nl8 z=s|bz7tb-pdyaOPeWf{dEdOa>`g;2018Zj_CXroMsi037?EC zL|`nG>Z!h1*ZEYJYS%^D%r^En-(}Q-ZP+rR@&m0zqczCJq4W13Hs~I~Z9}EMqx@p? zQ<^CzMjmTg8?h+9(37zq?m27$eDQEkZLm1>PGZrsJiDxmZHi0;x!>r|+E>ERy!ywp zN8+I!VONzXK;mlmXDUos7x@(=I4~&h*b%scAbv)q0}57;RPWt{a|VnpEFtlEDRWhn zk>}cJ1Nu0O-j9y=f$RX}7wUXL8Wt0Z!qin3i7c!r5=H@W@DK{gON`K%6$9v7xWZpD zdIC1Mg|7rmZg(H4)c32Gw2u1jX@E+lSx34Z5Lcy8aSD4v(Qh5nVs4dkgM#cu+o^g3 zg0Jxc4ERMdi6?WQQu%{sQmF>YpJ@t}xFN<}t~OxlT~aK3ZA7PSOx<5B6k7L`obgsn zv^^T(2er!;zU<1rQpdOQYwvC?6xtv@!$W@ww>*zNUqSK7m*@D8fukWR=qz}$tu`o& z3JeRo2@+m{-fY}tWBVQ0p^z9=YXW1LB}})Y1X|nK@s8knDTUPt-aj&K!-%9@A#>)K z(d^(*=!n$AFn4-_MJ4qkSj(4*D{D#X^`>~O#7W+8dqa#n^Lif|&1JZ8y+EKJcMO(@ThDb?R1!8lVZg896y9M~h z2AmSLBYXp6lkWwvH^Feep+OU1NEd5OYvW;+t>gS5q)mSkk!^gBcANGWq8nm!P&g7f zqoKX9z4ln>VPHbfQw@*m1Jx*GCwHUG%FiX+zKyrbNE+jcsFw?U)*XU;XmZ#_x|P$- zY@=TN;~kV@)fIKl=IQ5vBk6fETd33w((mVp~6HTv)iE+{B38YoX&O%o#sdYYQND^Z;6_Nsz}NAH{<&7? zt6DO?^?07FcQ0;tO9KmFWC-tU=)B-GdVv~8P9a$bIdz^u{BvFNM#^fYBcj{cqyIUe z*!}^10d-vm@I!Q7|3W2e7AR~8S1-E3Ga06=!!nT1YT+12S)LP&1aDl!5FoDgV-!Ll zb5avWVkiNSr8CH*5jM6Im-s%DY-uBMMgUTQ5WFYz!R+mkt}qb&8BFaOon= z)mamjscK?V##PmffO)Bt>{aR(7NYjKTS(ZXT&vTtRu`jL4P!(cdRplVWR1x1kh@Qf zl0{geDlBi&E&rMp$UnIN5%f+rIc)Wg0p1rsFid}X=tjgk09Em8)+}HQU5s62Fs6(6 z`<}00ajMpwr(q$aD|V0@6Quu^YlQn&5~XSyw629A8faObp1NW?ySzYhoC8%hm{Zkq zEe98Ec&{&klyi|zQFsrL?^6l0ni?M;?0T1g*1jxARv#xHJGoj{;o0VE{aOX9yokhU$0xmJ|IJOSiezEC z;LX=hKdYvJIR8Tw5gOrC6PQ8D@E z-<2d}uc{{i6`_TKT*LABV0U~NohttTvb<8`+Id0hK@N~MUB%cE;e;@75|HDDE27tQ zwX7@oLakQRsq(dFjn~kFQZ*AEq4)}hS9(j}Ay!{2F9lwjOg(7Tk`6eiBYB&#ox=~J z=l2<(9gDU{7Rg1PnV!!P$y9)fyDc8UPM?4N>g=NrKmSb5cSE1wsbjUzQpmd~%2W=j zy#r}asus{Xo?=c(^>m1+Z2=3ngE*vn{!IMhJ|mc>=q+mTGcZ*CTZWrMXJrCXB7yBD zS*0aF*Fu{Os*m{L%5`QVcJPPc7odh(EgjNF#aBCIEgJb$Uqh{_57GQhk-{78wQh>_ z;A_-+c5yks!LV1gK+_c<@zi!%q!$}_^FOfBpdvAnnj(SdGO@->c#i>}2^CLiUZ~9_ zkA6dW;Tz>PsBKD3^Gt8DSc?tEWLiXZm<7J+p3Z6*7-zU1?FH=d-^xAyH-SZCG{hL> zo&n^uCNoC!$w&^$Dr1la=0^MkJs|W7oVBqjqw5spW00UR%K(H}&BkMuCSSLsgUt9= z@^93yH40Vpyx;wg?~u*ymonhW@rymz^CC%h2_YMOdj2_KGi#~{OZ7uITh#w**~C)& z4X=C>FH0$*RU+Xa(j_6)Y{eganan=k(EEB^?{o8m7X8eBrV~o1R_TYBUWeNtbf7}V z9LF^fu%N)+YrxrAi()tW+%qG3E)+>i&H(DgJx|j+UKCgQ+7Kh`Ly^w8;JzG8Ms^KU`#rb7u>WKsFE1yNZ z>^t>zu&kR5Lv^GN2!qf^FaY385vR}>AO-kr1fOx{)O@%PAFAms#AgTiV@UkX?T6A# zMJp9PEHAOiMQT2|#D3uqO|oKisVrK z-(1REXkI8lNSWuYFa8?8dTzc#W?^DH!S2(th?A@~t6)kt3h)+G}yXQZvM#5h?d>M6da2xnme{k8JEofwp3zH(! z(Qv2K?h9KdTVHeMtO}N?W-y1z^Ar#c_FgqEchjkhT;|i@<@VHdP@kQ`$wMkyH-&lK zhI;ZVFw}9kp^pCmhC0Mw%PmnC9`1D-Bp}i{4033a0Yp1sQURjkkp`=~A9m}0=t~92 zw(kFksKT?o`;pgu-7HhiEqt@~9pto=P38NqCueXgEHi#zBQez@n{~O{$C^H1om0mN z;Q$j&@#vl|m|as#Y6cxq&4B)ypI;=_Fqj^fBtc)Vj~uCr0pb?yl zH9%hHQ@N}-UvYH@799X?%;=cp9@*LOWOx+y&4q&sZOBLZry3(F$jY4}Pvk=P^k)%* z!DH>=-&i=S3=8B#1I|==BBV8+YUY{r!rBkkA+&eB^AUXbdps;Ij*o#WARDugla{#7Dd^SY`s=mknh zxT+0=?kfx{HI%Kk)+XCrgvt9XoYQ(Q&7?86s}zViWA!}BRkNUpTe2^2Cb+RvfXLlt z@Of4ERcY)17_Fl*^RX*C1CVp^z9}nc zQ+iDg8j8$6sBo--DpKV+s@I8>r!FeIxwaTrpBKd17t0OUAvq^gwuBuB6fRTTpu{>` zMhQd{OXLr?oAy!kbG2yz6Fi-g_oYf{^oJhYEMS3FUj{^n+yM^fXW z4A8bZbqo#(L1QUH8_|HRZE)IbDQ{?N)z&*Wt+tdrJctxQ*Fi9^AWX^*-v)UmToBRB zd+?V7#97T6H0^96D_uh->gLhae`?rat%Wd8(&Z0o(*m}g4DH$F`iEp$U*W$E(-!F% z$zizWf_jJJVwxJRtw5fEX#wEKA(|SGiG?+gTDku$Nf%n7#DV3IrnJ#>eUuvFsahEv zZQ-I8j^i@IcBKrIXIjAqYo7QI>j$R` zvo=J(fn4>vv5UBvBw4}#m+dj&cnmg64gUcZOh zP}E8rw$xOar!yc5TjnrZaTH(2X{JpRK`+tU)s$dr*jU%*iV8S)>fG98Mxn8pe&Dp) zDphOvOJ0c~?y$zvI5j;`#83j;s9M}H1T}Cy!b|Twwispr?eV+!f7VU4RPtEgTdMSp zB+fR(!CNT2_nJgGd$rUALeZV8V~(s@hw2AHms4D9`We#Y`fAN=;BY!YxheP|OTzC~rqimDq-kuN-D!dDDAo<0VzRcBVSZ zcd2RWnvCXu{oSgfe1*NbA|`K&aCId=bo_Y%y!Ux@7SGi2U*u38+4@Ea+H=R{DA4So z+Wrels|*AZ*6`c4Lx-A5i6q+^ zK5)FcvKRqbw>wququV-jV=tZ71C5#s$-^s?;yMio>jiqb`%4r)G8x!;%_5Ng6eV2w zMb|uspD%0TfetrDkdl%zw-Tglu~dR49OnGU zQ(Co6i%d#O!@%B)c7^>#l~mg{940~Rz<(HOBq(QKK7wDwivh`UxKxT}oAg8tTzLc-;x;=Ry}}ZF z5#a5R>QH{D2ed{bONAXsKe`NKdihk9n?4ql^csZn%wS5G{-uBOG#l)M)tjPgOLL&D z6GJl`jS%IW1ta-hvPa}PCau|4BCAb_4wc-&sw`W zbsZPU1&W-scdf7N(yPAK_Nza!JrnnBhmQHeF8%VQwp;$d5k89C)D|H|DilC#$G@SU zBpQwLOnkLU@>S-OoP6!!;k1ExmBnh|#1W_{MQ`RLvcem(=l9gGn+(V5!$UNY@BVHl z{u_~6)k|1!dMmiEV%Y!$+BX`2g7>7eteSXarb*DKElNn(tpK97tZMb}FND8uuw3r? z=f`AUMgIXhqiIuW7!K)OJ?Jd4)^K}haHYAe)QL)fz?YNd~SXF2N+LwZhukT-4%Pji+v2?#6`=oCR7U|nh{rgnKL zb*t=7D%%qZD$Io1`~&d(;d>`V!#Vg1do$@@>~2;8Zw-3V8MA^mXOJf%%%~-I>@ZSR z+31%8RN9d54t(akKJWpUVT_ZR5>+7v=TN*uEulX}7IZpoaPpO{o)?qbNk-OJAyg)$ zo=mI1A-x;j*#%n2jt^veb9t?4RsPnSvz_P^K$vOV?u>Vol=19c{{eal%ar%O7D*{e zfuZb6Xhm2(>i2tEwa`_nb9nli^|HI_PHA@qp10JGX}IINKl9!rq#Obgz1t)lDuA7~ z&~=Zch7oAW*Y+^9>)iLb$)L`xnN*E=WA?T0&!oPoQBtCC!WW7KDkP6n^+#nW%Lj4 zn_O=wwe-_HXD#nm_@sLsEU8@(=X?NJqWXtw0Xdn0<+NtZOjsKZ#%s)88Gac?`r{QB z4q?`cvtsa>>R+vxKaP7YbL%lFw5uG?D@JF~OhiQ;oXUM*pV7bBJ^t}GQJFp9F8O|k0Ya~;Y*eR6}qhk(~h@!@}7==av z`BH8g%8BQ^nE6Jp%e$maB?{CRCv!TlDl1Wb_4pl!x1O( zg|IHY{>y|a{)+SmJl52?<7PMMX;ee0zUcy*5brgdz}8N%r=+h6(KTSZHQ6%PlldXr zMlEz3M~y+0XSK4Cm0u_x^>!SO7x}FW z=V5_hdm#lkYHKnBpPyGB()g5=zNG@hd?Y+Ik={6H`~gZE$ZA?uz&afU(nBATc*nyw|&xiG;k zPIEJj--g4QTkEm7Pmm3E@=%;0<}*o(vTODYk7;-WG5h^vebaY;1;LGUx>_BKN<6CE zT&O{URGz*x>MNT(De`5r3?x;6ms$YK{CYLNEz^lInV}+7nJW-*q9=U2xX2Nl{&4}C zL7et7McEq`3a_-J&O>uvh?)UVUV}mfn2b^aqClO6Ah>`#!lbpGCgnNrUnKuRkN-K* z1z(H!DxnDAZ!1Ud%Gh=y(8JT>g?CB_#_w962HxpnqUlE6WBP9RLc#EtUu~c`!{N9&VX%U65qo6L9lc6hn7AmD{EGZ z&D6cNdYMWoSLdY}UnmO}Uzt6UFsDK>Y@iW`r*}OA{jE^Z(r4zh)|ySX3ol zi$IM28$B?Bg78s!_J!p&h*z)(X-HX`Y}8Gv$JQIv6$nWzQl)O?>JL|5h<`C z)cOArRo7U@CI|lns8=LBr(-t91;19XOx-Jx@On`TgctWIv_pFle!`kWfm)(~WI5Ln z!DCi?M7chqhLE=}7dDlk7W#6Tz>`u#inDyC?gx(^ z;8l{0M*MC6t504M&49kD|0R6F?Pz^X3&L{0aJ=V>mRF&hq`{`NI#mSP@8~1JvcibU0wpM(=}{CQ$m4L z$phB%(J$m=$^EVllcCIp{6?J)Y67lq26iSPf#iEF99-0c!yDZ(y-{L(AW9$iqN|&T z{znI@Vz~9n%|*yy_ep{-#_5IfUZYb;X(;>fO;Qw)J9xk?D({ap{2ul8j`xnDMRdHs z7cF!ok;Z}!tB&kcVhM6D5eQ{dAQRhkiMr#tGU{X+R(6p>ef@gV`BlVrBdknD-~adD zsX)0+!RWMzFV_~h9W0zEHN%?6>yS>W)B^e?F)V8`+#BlD%al@n%Va+U;K;NnXbenp ztDxATImMxU|9ovQ^zjGDRNu6NBd@7zsY;x4-UYSH#kROiF5=0R`VB;b(%+tP67srOyfHi73rm1^|4*L5vG#|idoG_HQw{^pUstJV4wj}oZ{~PeMgq9o|8j`bH@!0$Kw-H zW@e&QG;@*p&GSpbF5jsFh2(V_nBpOaW?_YG>_H^uSg4vMp9?|6*wC*V#YT zexqfr^u%{vCJw%A(9CQ}Yf7D)lJf}CII0Ew*pv#@MNZ%%G7+Xx&tq0w=bOnKBD~?L z0F;XV69hF(k`^t_N<3X!&-NvHh?f7%@F;HpxgX zn=@=lIm*ZSKGaEu78Z_y)QJb8{x(=WA?`!g-}*+CzBQLSJILm-&Ta9fIjxEF*@1~e z0krZ&r+{MipBfb8>_q2p>?1l$<3+j?z5GmPp|T6I^w0-Iqjs7ok0C2PTa8U=sT2#d zqxJ)jW_onEp2K%?!|#puC}d9*sc2^VdD?=PySj?(8I(SUyZA;6Kd6=UEo4HVS2YKJ zmik~*9IFj`YT5kFkTZID#4*vu|&b!9YXOg~~PQOVR2N)Wwh`r<)U;3YPb{ zyGpveKcMx+i>GI2PenYSnJ+_|cWC^%QJMfSm#`)-IRa#J;pw;|vGH$A7^;tm75Q3+ z$FMqz3mD)c+#{Y5RML5|swrc7v4YX>vvj%(+?LAGRt`BkOwaQrp5n+42U6F zs?9EwB|R1JG^G3x+K87X23kw~wjra^c^St90&L)5;tiZuwtgC)z@B(cU!5Ysvf7(Z z%QBy6Tl>>b&QDL(`%XznIuji(@eB&QdZ(w9NjX*jun0U0z`LdSRQ^bzlcjOEl3dT{ z(Ku3GMwZ<6s8ASF{;%WqPQKsbD-+e@$*G+>hubftxyu6sj%k&2t4sLhqS0$$)(hNuz)0HXrs(ao6 z865mIGtfzL7E1d9H@0-IWDvE7y@;&QbVUn|*S571&2Zk#4XWER7|IcpIv6Af%kbAS zTFb=m@l=~-0Xr2)g6(@mXbH>-$<8Y0c(4$No~DQm68(o}{xBZrd~XjlB;bGdc?zoh z4!ItTx^dzvF~+YP8gAkub2n|~7GW-SOhyH%Gn7G-Idlo~QCmadb*}oPS1%R_luy55 zMrHNv=E&MM(FI0Oy{1CTo!&#{+d2 z;HHcC`v6@6Zb4am0h~#$JHqsQl(50mSP&?vmGfWz!Pb|NzZ0rit|d=1RpL$zZo2|2 z_1M(@d;xTd4riKIc_l8BTxkyX*-_L#IdQnpb|Up5x3LqQoH*rJ9jNJQMJ2kIqdC)R zula{%TKAp|_oM#tK27VMnbv(ft;hR;X}uq*9PB9DQOf;z6>as8yHN_|2$@7}jaz?v z&IR|e3sw`WH^kwYag|`7f#wE7d2PMl~@_03A^a> zEp}@7r|VD|ti!$VD#W|cdgnHvbM9bvDJ$`*lUJg+t4w31MGKyVu zi2t$4AyT%!B0qqyq9rPDWG`H<5HKKF;9#0wBj&yijnSWu24sl7&{vKEkz5pV;+;59 z5YQIR)xCWK(JH&cd{d=gwE>|XO$8Nle``M(^=$FpC>YG4o#*jqYUt0@kY;MA^$LTQ zgU~aK`f5cCYR{_eCz2Ebwbo*=dnv~FBlLgwFO%+2e!0GhizK{oGmO+*msww}Uh`(x zpD~gcJ}XJ91JB?-zGwMz5IULN>kGC0KplWuMNieU;~yGPr8CO8dOoYZ%Ix+}_H=p` zdy-2?Ut6H8>jQ zi2;z>ft8q0-=*KECxT;A-QPm?gZpHVYdTR!XN66cKjtz?d&bEwNVgHJ+^NvxO%nJX ziKU8M`J#A7xElW*x32b$TTAO=M0MUlm(_mb*VSIie91R9n0w%q*&gUJ+YcbW4z@Nx zt3!3S!E>rx0j^(U`^Eq)?sI;pQS*f8St{!nJ>baBW^4il1EE`I7VeMU~ z(@mTO3wC?Qdr+)9gt*PVZ zbM3p#raF^8RPGCAQPfR|va=|ktaI2y8tK+dR6(y;QS0xJU-u>{r66#dvrl-1aJ2Cn zBEUOQw)tK;*s6`02E%QNOK}>&)W zyo1UlXVvT$26v#ch?fBX@}UQu87?XW{ZDDWLA6?3@{Nk^7cZpEx6$1NPxmMS0cQ*m zsAc?js_0h7*X0`n%%krIszZCC-i@|2o8!~!ZAWI;!+vdRv(9-O6nNuj!=BpKpoHzEDvcTF zB2gFWv4d3?^)Cl*=7CjlcJ#4{!Mn>%k>xPl3!pK0h_QI1awYV5c2Vj%lT~Y;K^7Yxo?r+EKF~UFK{}o^FL^23>7$)V5BvP zb!v?-s4)7gdxGL=OY?+)T3|4@OymD29w`83u1CE<1z!r~^VgQlbP`%4+R)FOXe3=?cJKTQ)Xg$>c$ixm0_V%)iz@mh}5t94E^}BdA zh=jq{v&|BVl%RL`{qBl*`Ec!h?^Pt<{qFnOO5!9v|BR#U-Q6dcDSo;0gl#;UtzvPgIF z3iaWPKP0&X{InzXtYR$(6^~CS+cetSI~FX|50yX*`tz6!LbDi<#uDk#E%+obo1 zx?n#_YS62GaX3n`IG}U-(pW+Jn9sjSk}C(<3?Bq+(e3HAW|HuSxvXCRd-b=te!Qh~ zo~+iCL_C19fs>QoU^~2ahpZZSqb8xKB@#@?P>0Mi>r5kn8Z*>4_CsZbR7uP$*}@8P zyP3Q_i-yRrqtCZ18nEZkG*glfW(F)3X)qD<`q^sxE&k>eIh36ITGwOLWbOm))AGum_T_P8YP zzI@k~dz+cr$QrukMzP z_C|-pobDusG(aq8pN zQ2ZEm67VBgDuI>Y(N}5mHs6V!L!c}#mT4TWs%?)-h``7k3pW>7eT_~m95ktVY;?2g zx&L+CPzYFDOQyDrK2;_gV6*tbs_Qr$j}M|#tN?@qu53LJoqEX|Dx)U|t#RvB(@^TK zHaBqgu4V&&KEH{sW)zHlKcat|bjKn5i8{{XA^el(@;j<8L(|hxq|+^_=N3<|;f&B6 zu|O`vcPD?RLt;eBKTVNVO8>SeV--o3E)4li0ZPO2+hs02LY@9Qp_XDva{PXqNh!LpSa#mRPrL#Xh^ZrP3(%Uy}) zd!?DV_F6a4VY&tKl>BNZTHYGN0MeJ!P))bnQG%$7w45(GtW#0#QC}zHwvS~S7$R`g z%U2uK>4Xyg={1~4$Xc^gp|gV_WvR00HlrTa!h&T~% zk~mZQr|7Le-A&UJkuP_nMpUg8cY1)7+3*NR8I6rSYNQqDPh9-Opi(d)lLehI6pb+# z3WMv_dy236hY`VjSf0UwM*7e=gOPohS*dcsQH|0h@p#W& zwY@iAVF6Rs+H>F03b%!WzvU)TDi|v3nlxQytBc&S|B^do`B3KRRDFVge%M}tSr0BB z`1+bef*IDm#dJ^2JFi=nwKuxWwm^`D4RmO{PL!*)8%F!uRF=C1#|vH7whCvvtZZ3L z5JW=g{yy2OJbEE2GSr~^XO zWRP}(Fcf?VbBruE4K=r}2sMQ};!ISu`)bsG$00L%Wn5|pMjK8TeVAl3@Ty*-8?AA& ztmAYjK;cCFfKb;b`@Ix@OK2OHYQ zUkL6U6B#jNm||?b(*DpQ6=92jee^qJoeJCys`AAX%fWODA0C>7|@mAAe>TdLO-2E#p_!XX*S0A2M@GJFvYyq~kw&IHx zOp2}+xQNTEWZgssBHkx~47K3m8g!^zj?nBbKA17BKE?7E9g5di=4kipU?mlk6=JI6 zbamJ_c?JS_kMb%e2E!`3>#GM6yS{obsq3o;6S{`UT$`y{CwK@{5XUAD4^=;jdgFCe z(b&(en|*D7Jt*la(qQ^^HWWuAWX&3H6+#Cn!UjE9n^4xgYs)b0*#Q7HkVei#S`5Sz z)O!keFgj^cK0MU^`~@5tpM8OKG7d0N+sBak@%L5{o8qL2KH*IPi+W&Xxk*d~f*-i& z54;`Fq-Sh#yURrrBkqaFZ3v&j_ZJ|Un8j0ogC0Z^1i{?>ckgIktRM|GW!xA>7a((P zcDKQ0S$Z!qHpm%dq(p#=nwwEh&^pu#eBS&^#tU0TRXp6RzN(SkrK%fOoYIdTL&1%y zo1&U1$7AFvc6`NaT~?(GMToym8*$C97M0}S5h7&uz-Fp}l<|!Udb2+dfpwJwB) zL(UVVD=Ds8inYu2ExA(Ra1!>wggwy+z6l z(_zba@kvZEI~(-w>Fbj19C(^}l}l8Ss7)nH_BRRHWY^T=w}JKkM`h)yOZSUl>(#Y~q({ zFZo5rFm(O|ejAcHdm}Wv8rZvH58d1ZNN7+o3-@L;%;<>Sy2nO=vT&DLo-EiS*bw-y zvP0(`HIuUS?4# zW8|0WP5x{6CNC1hCG^tG&kL7R5D-gEr|&>FC%ENOa|HL$v_| zEfQ76g7DVnKD^!B>jSoP&Zji&NQU!@`K-vZZ-uJUF;3_5sa1P7a_%q zcmj_IHyt`ZzW(yH+CH$oFYUly)9*?QEJB->tsQ@EEidx#f%=Ce4@6}B1c(d+M8mU0 zR=nIF!9Eb2oz_%y@oBU!F$K zl^xVXVO@jG-5NbpGT{|pR$DVARsY8M!fTH4H_ec)T2yz^v zPO*)VEiDnU%-JImvct{@+3L6*mZ7F`cTseIiU!S7N73E#V!|^&CnsN*w4C~AX=eS& z7dg>R`=oKzaLzmj7B^YQf;BPbL_#|LX{p5<)n~MTCY+&F+C(3Z|*n@5dQY%_QHfS5T>WbwjErs7c7tHu1fs zed69aD4cwaqL+B~`-nN*AN@+ZNw&GrYn^#G);f>hWXr?v8nftb55Z)`aC~&Qdvp|? zCo^?g$DFQ!YSPR7r47s0qSEnQbL!$rM_u(N6uJa)pKDc1<}El62#4!6WTeFxVt+Ee z{=WYC3eN%cK58nk6_qdE7>>R`VU-@g2n03^9$IT?gloz<>Q7-69X%ANkf>InMLq z50}ZYC1(E+S_)f&@^-U?1Ac#>>IFP8(LikaLAs*dF||@pH22`Oq3RB#yKSaZ|858# zp}jG(vkD7}su9~1=PcRKM0-K(7zx7spG2Q>v;v(t-JPymMjTzdq7o}D(P9DB;WoWz z$OX>NxW4(xB2~_>{-cIShrW&a4Bhw+jGoeEs%sV)ts9#)xAbk*%)tB6cOz#SL=_bY zsA_PEEhu3`RJGUA1n?etZtni%&wN=jd&Eza#ebEo8^An{dtble?_(sB`|BHe-kEpf zK>g~CRzk))Kh-I_c9S#k<7JLAy%IRtXz$vBKpnZKZD_hd(D@B0L{ro_$A6%@P_ZF( zp+PH%8gw;tkwL1C#ayC$2GkHS^6(hcmXQ?jUchFf_T|=IFY@K46ls9dDJ7MK$HMSC zES%QGP`n8&5GKuo(YXhVptD-Nrc;1Ox?nC^&()CT$~0>qpga}>FJWy)Q&IycgHc^y z@Y$#D3)F1I-TR9}y)wmS2}(~1(S#eFE==#^yQq1bFp{pXcJ5SClIi-_AY)p8U6Z4LWGw2gw>lo4aG zTwd^E#^pSnnk(ToyNJ_XEoZ4?k)3~)Srf3 zyLO%ifmcXyL!K-Q)t0g0ptpx&OYD?`YW8vNBK$QziCAlJv(m&^^gz+F`j0AQO|o`G z?ddZtF=PZuli>#^P#LUUUu;TNhF+t30AN6$zi~lQ!~8m#BSiJpNQaPHVi-rcq3wrp zb`fS1z%LL3t#&jyj1Qt7sB^~BC+}e;nL$7Hc(E+f@57KK^@S;Ub_QBkb!BpqbaVO% zzDOXC^x5Y7=ry#75ADytcQ1F40z0j=bWNUNg#x@Ao4$7xbmP;n(3htg4C7Ihr=@1Z z-`00D69hj&lW*I3s&OOD$G^h!^bnl@yW>;IkSB3uYKkT^itwBz8F2b3pYA!Etsf(d zcCeK*%9EqZwjSz@`hdkcZ}dd#3LKFH;IM*|awJ>|@E;aXN`ZR!lF3L1%E;Kj44UQS z5HfV=gFvPQsG;%S0|qTj5-_iT%a;Rou#KkqG(c-H5uk9k35%uLOQtE=q93NknnWq4 zVBvDICd}P|AwiS_7YzC*Cu2;l9E=U7M%@smWsqqU^D}bR;rp&3fJ4EvFdUCgWETlR zzCT({@7??fY2ZMJL63fwXDK}x@TL%t@P+%4tVo12B8Tb3Z{$hA#lspG0We3kX#PT@ z$z~)Q13Vp;rZb2xfjhKig@&49e_K)+35Bt&5i#Ye%U+#2D05qOQ=E7XN^`S3dcL_R zdt~m0KII*+EGu=BX~AwS)KpZ_G@+pP z4B3?XLlEK^4mD15ZJlFyH}S4n0EZFFuq35HMx!E>YoK=r1V!2XQf9;k`hyS#x9)NO%Z4A1fk{)U6}DoIx1LXS%6 zzOIt6oBlM7Ck1aJ%4xo`i{&lx-WK#fi(5EaOD%P zqzb`Q_s-s_8ie%Ldyk;E+#N9LVMW!0Qs%+_@V;2lprCS9+vgd=JFN-u%jg$Y)(7!; zXh-s&{m4N+MEKbr_3H?loNue(S||jOLw9SY${g6BoWB~NpfWy<=->@qOSZsnJ<)CnqO@o zU>|SP+X_I-cm>Vmn5qv7$vQKQIq z1I-x8^;w*BCzi2;BlY2kO8NftcO*UE$38WmV4`k(&0hpwajyu;f6+hZ;Mcg8i0@VC zeTSh0B1R6`9`Bd^uW|1~aK~r(Pnd~8*qUgo9MZWgJ&Y0(Q;n~p$@96a=JIL&ZWq2B zqhQVOZ&5(z`Q-zjuqN6AjN;xnEZ*Xi)`+wln8>?e zVymahxM~XTJNu(2cZ~woKJz(I!yrj!vIIRiR_=Cntkq>e-LlKWqqL`AY}u>yYOL@M z-CI<}mK`5CSpT%pJJ=~ojP=R0(E_)mU zJXJk_9admks&1ivo_@=M73u@^B8YMZ{u;DtKJZlNUR4z6T4*4`kxx_Z6wfdUe`?@b z_Tak7ce7+RQ$OIu=1!0{N5?TSMyX3=*J+}>1>hp6A-2%Zd8MqCOubK~x?#1ot*zD% ziO#KhHc_kA5BYloPjT*5Rc-EJvjQ-f{obEpHY+jD$NpkU3}%9lSFMYv7#_kb8~ z(|jBLu+Pd~FkL%*UsR|_gBU!Z`@1vd5iSEfR_4W$1@I}pzDQz)`ykR-1$-0V6ESby zY>u&akJ|~s^|arhDI^bd@=qEy6AwgKv71DYUcJ_Gw>m+@UuP1{_!rUFKpfj9B%Ks= zCB6kGp)$(pu=avn^7j1PgPIw2%(y4$`YMn5Q@{fhssnWw@yu`yI0UK=W#Tm_r=^|g z<&A7&nx0`BXG<{kCM(rX-u3z1ZMl;495n|_o99>;AYu-SDY%b8I%q>nv%iN$V|&|& z-9@O##U9K8)a`u8eXVwMwSuV*<}>w2*r${L3hN<`4vgm=B0Q%^LZ9&&gAmy{smLOmaPZ>kJ6qi>2E2~5Ob}U*)C|%zT6xQ6H4U*^6jI&Bi%Ls zJcy#OQ($|sG%7N+Yp@;#vl)cgQzm%{J{tTwLRQPWUMJo0HVN@&M#Pq!#T@m81i@1i zSh*sVrqeO`au>?gh()~!(q}mgs0DIx11BitAttD1*&A%lepQXdG>NT6PXSmCF4t2| zqBOy0Y|&$?_9o)=rB`}c_Nu!rm%lk_k2)#pn|X%iFrLUuIDALVpsr-ASJ1L>! zA}4~Md*|L4>i$8fFM6Hd0^R_DMT{Tt8Mj!#giJJ+Mi495LrE<$&#!zF2q6(WbP#a4}O#K6651tIDFPdco2O$9i)tr#QfM|$L)X_ldlb9-& z*BMRKLA_&faVt&`8UO%|iRMwy*_+?`yw@;Qt#&&<0oU>5B8wNAq)8(rNgQnH7fJZ* zU>{X|0%j&Z6WlEGORB^Gb_9p+L?=qX-PZx;(;y^??J+1>qW#bZ4O zzIYibkXv+D#Ws|`S)Xtrq}C)q(VFBw>fmKqeq5~tPz^~J$RsDE^IS%We#{ZX7}&Hn z#lTN~Jh$hpZ5&Q_Jaj`c<1&+jj>i2(!=WsPl*9L;pGTviNxvIy@DTNyJT@t?XqBnL zV&PDPYqMiH*NPD!VOM@-B*6{sxlImu#W)n?SF7$-ave|Ox;WtsM)vCnEdxP?CFs~8 znJi`u3?@mfk&hWPYM3uA%4>A=`8zCgJ)&-|6x#_D}we6cg+eW3QfzHCJ_?VPX6+x!_*^PZA$b1i| zbl0g=j(E?$$;mYGnQ_!Krio_8!9>6=8g5$Z>F$rc+euPJ3N({@8Hi*}<_ILI*d>d6 zngrElCUHT05}U1jLQ#A%gga>X1GKaLlH( zI7K@I%d`!L_VtN{3ikSdiLraJWpd9p1;s)v^CMZg>suXSP7A7j#A8O(w+WSJ1KI2i z0wp|a9{)Op6UrNVaz74EzU%7a>`N8}axB}AjF*H1pCEplv5BKEG9`Q!@F@~B>Xm6U_t zpiB9Bz3`lwILTDLPfunz9v^nKp}C{x#96KIQd6-#c?@jqS^GC#$E#$cES8HR{vp*$ zg9u^p3P({bf+GVgt#B>R_8!agl<&Ml@62 zXL_Z!rN%~oOJDx6zC76KWL{v2lzQlhKyPgGxxV-fU0ieTLe`wUP6)MQ6Uyb+4yXUq zyTAQzT@~yKS?M%WvSxZGIh8ac4iKb-=VV2|eymXx!Ua}=u9;;QXrBktNHJwqakQ2n zZqZO~yICru&Nbt*bPe6b*){JxxQnMth<7hG%PT8ShTMEOJ0IrC!@%=MZ)IqT*+O0# z-NevT0G&OQvvV8##xhB|x)!MGSTMAAo3IHJYXX-0c83jg>#NA!-3-iC)tFV7!AGBG z6(;+JX9B@BwKotsqQEdR}F+- zNr$GH{=A03JYKVb4-DyE9eKC*q2SIzpW5)O-#(Ph0K6*y@%8f zHw7#kKu%q1Wi-4*FIS0if(QaBu|VB*i-G=`a?rs++P|NJBx&*JmK&bY-BUtkOOsC? zzR4;rb5d3*lUYNtiY<^;zk0hd<)YKHAf(Ji@W`aE^Dspnciz_H6eDNKpuaXi4Gju% zJ2f>e#ukI?&>i%9AcAM^h(P@qg48w=HD?0U5I3eeUkIkn;{?diwFEMqu|PAE77mQ) zqR8XvBraVp0&~}HkfiqYfVX-dA%2IBQEVcLL?*Rarr!YwL^5bgP#Hw#?e9QD=Sog; zJRMF+@AmHZ&|G5}UcDgCW~LT5U|N=%QmI8AW)iFS2U(e7;+a5OSG{PPA{qGlnZd;` z$tabPlTDEgf3e7MetBp0TK2=$={mSjJyT5g(oKD)YJx2T@^KGo9ZQ!R#AWrQBt%1~ z>AYPu^gqpHmhp{ws)AU|!SO(FekOE<^gWn_6Uw*x+0dBQLf=>>yOK&#?$-}RcEP=dYAZHk&moceA z%$OGO6tgCv5g(mCdHLk|lUCyhEwrFeTcAE9EcxiMeyvu)_SEO<^?(%(i9UxzaP8HkqU|!EODzcWco$TDuH_yrzjtr?ZHQrObuCsWV{@{{G zefs80c#ltCoqsxT*p!r^zq|$RziB?%AOM98KLQ{^1oC^Cyevh^V-wBB_MvgwP)hdfMY?&x=3n9%ZeoQ7IK4C`uVjbe9 zRGUyBh^gNon&R5T{w%&oSIiXFbq>fQr4KNZ7UmUX0gG;~q(V9wW&Wco0Ruhe5cd>9FduneeRC-Jh3+~;d$VMiYWGcl-U z9UL7tbCQs-PKA)f7W=6V1jCh*hju@CdF#wj|c}?oGO5T1~PJEjdr9kk?pDR zI0a0mq=#VU2XvgBn4$xQ^hh7z2N(pjEXFH=#@RjW4FaiW%Ba!JZVDI0S+j-^)Oj=p zQ0Ec+YafuE$ENg#S)>iHBOts2i4MF6iTLF4>mX3Efj@UQ6+K};h%tl@@~eb!8Snxc}(AR~iFaJc8}+;;A&+?iEbnSDG; zb=B$abGxd#Z)bmf-;Jt%#2rmh>F4}qA(&1 z^J8FiQ2a9p>i9zuaZpjm4=%3vW3BbB6>CMr&Z_QnN4!7o>B=3k)`}G?)_Oml_jzo1 zbV4+{=fLu~BKDsa--udTfAXC+{O>%B;EhnYJ6g$I=39hS7L80pw+OP08p2C*Zt!WmD8>~QXPl~6d8O*f> zs4dy*#!?lJ*AfhH_%a_Ijskh*R#Xrdl&dr<#xK}9+;R8Oqif8wO^M5|)kQXwW7C?8 z5*Qlb1|IDtfMgdTYEPr~L%~(E4df$K>DN8%?dX7zuvjQhd8TjkRLx(kJ<1D%u0jt(f~-% z9*c;E;7|QlScLPO2563X?q_89?X5z^#!K00V+pscC~4+sqCwD|QomK0?zW}WXr8Oc z(uFyc>d1DwsV?yX47M01HSJdgZI`^(59XdZAoY>V4Ln0F0lB>3wL)@WlAw*63(C6P z!~b3uX+YWWK$%{jz9T}OHl@-iG+%!B4popAfpC$5FqkAIQL*>NiA*pZgXb_~5I~O} zVF`A?CSJcwx#@DNpyI%{#s*+U2&`*h;JmqK z{^H)*J!&)7Cs6%-vxP{~8}3>)JdrKO2GAe_=uw5_ht(S#z?p9NQ*1caf1w=pH`wbl zXioNZ`**$*XCVngtl20vpB=DxVO8NP{0}^ufI$}WzXZRw@bw#JIDG{O>T`-zSOEww zUTZq*+I+WW5U=9HT}es|SxV2A&;!Yqb0PUe0KT-!kgk4oQK5QlHqRT1;FM{Zua$8( zkY&U#q3q`saV$!&?6KDb6Y@|CuX^#E%2KTTYYQ2LR+KVKG|}s5{a({}9(23d6FvhE z%FR7F_3eb@uCpZ~&r%&!kSn#isFbytDm(TfEz@Os4gdKvy`+rs?eDc<2}W&9cy z18hB`BOfwU#j@XCziTN_Kz2f{O} z5X99Buv~Ej(2_L44((p3+aVU{*M7j2FtS(0sNBgO;L z3jyh(5jwB|=%~X&KbCxy9N<)kBf>vok;gx{VsIwAAfpWLQX_9W2YU&`2NpXTD#|hTT z=7wb~lic*zZ`EHt$+9PEQq`O>-w)30dAiOEX6e*~vi2mWvYk+U6n<}64-RHg?n3OV-FrjO;nl#S=*xJ1-idWp+LCtw~E zVv0h?`n04=vKGos-0QtQAVI@YX_wUMMVnUKG~S2AoGXidk*Dl{j>`L~hByT}L#UIR zZUygIy|Wz2^V0cBrks|LvMupB7V!QyT6<93@$uG9&U7Ad70J~8aw_@^XY>)hl=0POl0{-0qy|LEhVV?SuSx)_Dhj&AKfMZ0T9 zEh`mtBG`(KrP3E03ywyHr9QQ5-1&(HE`S=)Xx}z)0P$et95acW$3ct!mu(WOVnZBp zx(l$IEdJGJ=IJaz8vqTaBUU4OWT6uJq-kSV2N{1H4efA8YU9_Jc0tGqPi(jb+EHcO z99_Bx=R)M8TB9CONvgIk@Hmt(a?lIBf8@2?q}|wQ9C*A#HaUPt7E)i2_U$hJUv&yG z_*^5Oe)u>6ilf&RVMsfZn7Ws{2ryW_zkyN=e#4FqLtKL)brcxPykOj^>Gp@E>;mB_ zT-60Sx8P%rNH4T>w7Y8w{zzv!%P|X}RNuuA@f3l70^cav`o@GkfWx>`1UP0PS?I?; zho=z#b7`mp7MYB!l3}=_oq>g=~|FID3_)Qc|{1s;Xj{F|l4v%rCBc5>A$V!tU?jBz-f1Jh3r*PCW%vpI1- ziz1^4Myy{`++WqQfG6WtM&nlGmv}6-ohKh^1?hMCia7GCAMc}&-h2Ms>T?~wcQhTn zp}<_%#_%;R1J}9;EC_dni|Qj20=shBvls)U#%DBcC zFDar(8fZHMQj-}ZXcigJu*N8+CWfj?tsW`^E8$rjzq(i^ms7(7DQ^!~`cUCE61Fhy z0N1wKVRfRZ%~6UoNC^)m>E93U=RzUezCnNqv*u_2G!;5sd{ zZI@eT8ASJ(Z4bkaE_K@sUL9~ftNBbl(9`HgBgrn2*lNuFG8WUWxM`MQU>Y@j`zzDI z@wibRq?&V(v1}KFQ;b5J*xF6uK!~}IT$EhxlCZLRoD;eXD^PGTb<8fWHu(0r=`qO^ zm&{gz3YQ%2v_J-|lH0zAiC?mqT!i zAy`I9Ctn`xF9|}=!so*w;&=ak#}$X37*)%nr3#eSeW2lqHL{cK?kvq}99RfpATO}2 za_{^~0Yav&-^ld8yx-OdQ&amC6PlP0K}UQ69P5?|`%S^LOZ_%4GRKG5C)XwE$NO@5 zWaspuQ3=Z(lnBSMr4qE4X0seXjWJ6=b`5kQhFcOfCYMAfsa7>99XYE-=D$`=qxZ!C$&!2U0uK$P=oc9`0I$ zV6<0mct^2-IJYR2J|s8j%DtG7tJSP`RTXs1rN4B*_}fKQ=L=mbq=BMg$>+4dIzrlm z4Ewv8K#MZf)U(xvTBC1u6bN1o)%cR*NIq12(Cn@oUoU_PIgsQk!qrTdoOUCfi zb*=?h+w}GHW7t39Gnk+#em<~B!-OU9cii}kY~zY-*J;aWH4$X^Ohv7#(G0|Upa9CP zl0?!@iu@)YXiV_C$=CP3{`zY>+3zL~9^5-QJcyQM$>{M?ZJ1iV5GMit(BiG}pW*h; zzT?3WKX(fAv7VvFngIzS+VYM^g zcHB+}Tt&5=A%iVl+gUejv=+qsa;exZ@^$hu2McJ~UF&x%h zoINt^s6dy`0s7L7mXJHJHIT3*=Rhi>wqIa2RzI%NQazyhHmj>NbQmd*VKTd!fa4%@ z&8>CbizHXPpM5o8+oU?j1MJQ zzBL9sF;7F0p>c#xNpvq-H>g|VZ}Gh>`Fq#NPlyk)Q2#NYT!K&sUY$g@0pTm++9UP} z8v+cpiX5@@q>h6kDJQx+hZRA`>i>mr8`mH1=k0nNH;SSD0TJ}c!J}?@gdmNnv<7XU z-q|R2~oC}&(c&3XiyM#k! zw4lF1B_KFwQamam9JPx`R74-@UV@cdm_2b7+>lF(R2aAAMOj^!NHm2_9v(~&Q3W=5 z)T27ANB+igtlEdjfud%5sNP;d0zUa7dsIwI~F2P1Zir^86x;C_KTw z#{^`7US&iaM;T4VQaGR56uDj2bd3rdQ{X;1Jv~j%O;*pC+5zv!Gq>f~Vm9l}cDED_ z3z*%$Ubma0cU>7%&uL8bqtkmQr$;-P=mt*IHq(7fHBE#zyIa=#-yZ>dwT=rP?j@04 z1M3WQ0D)sr7=H3h1Wg@1Jq^Z?v@fx$u5n|%rhUm!j_0)?5t1j<=dg!D>Wxa)9xKZU z|Mb53)BB^>0f;#jW%QkOig*KWF5HD2BcG z;MvYJjIM}SEBYRQ8Co77B+WlP+RZz1sh21RJwQEviHNTm5SXO%3$l{(;(FW?$$kx| z$`I<0$l{&g{~V5l*ED@JiK&adeyH>I;+-~>?tIX5&Z%-ZFZffTex% zFsSuN2w&L3GfwVWNFR3AV%Rh(I_GWiJupZosiBStGKxQ{)Vfv|epacsrd2RN&B!7u zO4w#cvA zn8BQDoV&?clYZP7h}AvmKeRn>qw)%MMEaa&(AIf2|6S zAA`M_HY;M^5)MmQaYO7lrGUIi=c{Ptl)WU;gj?}$ZTv0+0jc$Tm9jY0AC4-Z_0bU8 z@&LiE&DTd{3tTK8C1|PvgoiP7Q;QyxnepuLCz}mop3LIpTUkGJH?R=JAf%i?C{>P5 zyWL1*Rj28dDgD_@@nhBVFP?VFzHF;}o#G!54tG@2{NB z)|ao}lRDos*$K4C-vQp%rTdJ|iS+RUm~C!m5GcN^YKRr;h}|oQVHr&nH6xor=w0~e zX>G9Yp%;_PyfK%I`heD#y^=T=MY>fd_o{$(z)!7ALdot{JDXkSb?%nZphV0U#(9;Z=2!kt_^ z2Ay1H=|xnN2=VGrP7PO~gN$giJCy$l|J7}?aY)mOn~;D{s}i`#t~dw0HW+w{LEDh2 z>?NI5S7(dG9tjjVATNB4k2LHN=2ao5$j%$j(nSWaOLYy81EUi< zGhs;abCB(2ZX%=A3e&0{B9((04;a<$AEjldJhhvEDo$18G;?@C7!~rYDnY{Rv9j>j zGqqyWW6dor+zJ0(Y4LO4k;NZcCO&l<5+rVv!Gqu1r&$ed3vZ_#%|vOb@cv})hnoHb z99*wu`Xf9qY6@ZJR18Yy=0C*8nrC`=G$$8_11pW#Z3^V z_wQF0(>s(5Vem6)a`c{Lj!%UCa|}FOubAPU2Mu$zPG7=FCM@{IvrD`>1iz%n;Wj@Z zRiTHwaGP(^i>!2?kA!L92(3x{q7B*!OLR+KbCJT4?EcilsBt9>n3M(R&ham@T#r%5 zkknz#FEDYv1dr#)zYFB%>MJW7!E0V!#c9ncuwVlUwFxr##11?~fi*^7&4x<`2_=VQ z)P}+QkscIsn8R0i^awCHKywN^;eY=Y$;WAMoVyh|@VM?17nFdu^9Wqn*3}5d!9wuV z2awi%204L~C-4lM7M@p=82|vY1hBC-B4XXtx|(y+n1zX{=RG^^zJ9ky6HV@ z>2=aQ`1Pq>@3vU#k99 zXE7OGlG*cc*KxK!DetXZ=Dq2`!FV(dC;S34=aoHtr&NT0;3q6x;KwQ5@F0RH>}T7DRJ0| zUiTQSS}Nx&RPZvf0w1vBbfaA=~}nX(n}&n@j)&8 z!$`*uh7}4>?qsxAZN}uqngUH%$+TZWD=u@os`Rp>Ftk-VbtX-hF6MPuWwS%_bl~v9 znx`11(q)r4y0GRcUK8g|HFAv|QmBz}>i%|+AjK+Da{+bMDkgRH?rKmUU6T6f^ufW& zVO$w)H(f9P8y!@1`M}6v{H<0Tz~2vi0I?=yX|z*~b6}zeaV`7)Z~(^}Y%G8}(5@-z z+_!`316_YV3@ZtBi?m#B!LQ$w<@g|Q_4w?`&weI|zQbEH2ND5aV`nOp6{_ty>HTbm z!~`@sM6fHGB*PXtJ=mN{Q*4*sUHHv0cxotX3iI8>F8cI6nQt_~r=P#F@QQrPF+>a3c)Usa71k&eeN$4o= zpoc|-mbj5u)~wUEvA!)13Q5ynI7!aiFuM~|C8MQMSQ2M|Ioq{sU?uV zB91O+OM}gOAZjSNs&b6FLrc(%E)&Yi<%Vh=kxXAl5n_^RYmido!>X8V*TF*tf6=_| z1_Y_vzn46=JbP|_5wMqV8=vZGnE16s;7oJ@QOgI6o$h}4W|Ii?L6@2X7a5_~K$hUW zKAYjQ;fpWd4%GCs{Y;XmL^9>FKykf3hGRUbp)R7KP&vQzIB|L;f6JqdIXP6-`)j%y?^FH1Yj?~EWg?YsHN)+#l5LHF$HS#RULNE0A2HDCxF~X z91urb&mcQ+j@f=?btByqGS)Xpu)`kaiu#9N_Wl7+9qQNc=2Y^Hx4f zinGgzHf~OD6BCv9_um0nEVurZudcmW|8*C zhwoaB>t)=#`DS(H%1s(zxMXQgZBcS`XsvBgHsfz*WSR((fwewNKAyG$2O>IVCbgX zzxvhyY}+htE;33&YjUQZ8S}^(RyP#Yae=V9Em=ZOc+7z)SfAjrqRf*273lbP-=HwfI_ZCV!oI~Ew!4ezw8^G$JOc5ZYKuZ4*LL?D&2L6gg9 zf~=t7cBQ@t9d!6vIv_^f0jsjpf0L;SYZ;7anwFS;LbsHIIkOs#?^kCxSurW0j%i4h ztw2SO1k(4#-P9wTE^lAbTDxd5roc5X6A^7QfR zY;M#c)CvaHpbA13`rfu#j6L*(_}L9C(trn8&tIH9wKzptp)cYSEm;enl*HER??_3~ zEd^u)*2DQs_oQ#$TSy-)nzz>MFRt$wze;}bS&Dk|^y{ybPyGuMPvAe9P)vfU<>|pF z`AMR0gA6Acwdyw=&0VIzk}mU?(}TMg;`gMuZvPR=K;-kl+og;WMjv!N1;3aDlwJA@ z(lKUQy9nL_t9{ru;u{%eW2njrL>kQ&XXzTw!AU@FO0;%>k7lH|H%Ff}B0}g`EvAyJ zy2_O;xGhx!&~~GiM5fE{%T*C2C3*4DGeJy3Gsr1m{sOrir%+Rv+)rLY7q$8iVyB9< zYNkPb-&!MOj~m(NHqZxxR=^uN2WYKa%hn>VO%8}aG%>8QlmL z7z#I=N-VrUlXR8fIqN;^mS<)9KvZ9jcITIiEw#DFTS6u z$b~HXY^hx{_5FjHzw?Z9b;Fj!wF}9fyWPPT^rr|C*hxX$ z)(PniIJ&ywDZELEO2zs$%CHLRQgDncnE8%v1k-&F;+DE6a5|QHF&@&QD@y^pu^mVIu`zf`roev z`4KGj6jV#q&o6Ruwu$S-gXSA6b^Y!Mexu5-7YYluAAKXOCOD1^K6 z@l9*=GokvnT;>E&Smhg_MyNNx+#Vcci!%Ebck{nQHs303vLGA47eD>raa+nOKvzu| zA-tDzj2C4!zX0ehHXfuMFiB@biOJxQZJ&zQl(Fh@2&nN*kEth|qLBrhBm;=X;W~@6 z!^4W=m3CY4Od!nVSQwx^hybg{3IST`!xLp!6*o9YQ@D#Mr1;?Yf}YViJCgEKu$&N1A3MO9 z-9jY=tffd>kNTrBN9qQC+WXPiF>OwhA0^1=K0QvT=ulgUw}0Vn-!qkjaoP?SWO2Rf z$Dk*>pWM3#|M_Tq2NJna07$#D^2S}MwK42Y=vQy`aQsEkD}(2`H@Y5;iBqsqM!-mY zPZ6#-?{UFA`&}u@{kxt*Op%~+huODr;((gbg>pt|J9|(1LAXq{H(?Mi-RvTV0rvZY z?^5aG_U}Mz8i*j2nZFSPam(67qV=yb#KN0ps?k^O<50o{7uCD=b{eUDx=UqaG&jXn zTIQ)a%<^&$mqmmTIDn4nqHI+aSSf36f!t)ZA#^}-BgtbjJqRpXCeAIZNrNGwwAie3 zOpxnqO&O=^`2l=W{CA;-V0?I=8X~}}XWE>YJI@cOP1{0<5G==o{%N!gOT=9ZXr1_PZ5@)x+I-BUu%pqz1q}@UN^i(#Z zZALIHus*gBc#cK_(0M*X+8Un`PX049SL$z1>2FWXY>tVu8cKIBZN;u`;^Fk(LnM;8 zy=oQ81au?^6v-SMB~KoI6k!E5xdT}b6R($H>~0^+pZ7{(GYJ*Eh)D6Ec4#*mR65hw z)Fux%gxmwWG(?V|1F030ChKZCTaAPw$rZKzZ~!#kR|tB$Yj3w-;U4@&3CnEpUUI+_ z#eo;)M>70!+qiHn1VOn3rC3G>31g-`a1imIXncDc7Oz(C*<}hz!rlWvQ^p@CL_+an zQWUV%NB!x zsPqL^B&SNalNQEMnU^R!YH2j}4GkT-24g#@w`O|@z9F=ARm}<6XQ{=QjHfa1J@4uU z$~2WRXsa~SSwqZGeZpCcpf&!K8mu8x(LZ{!R6(SzVJ?4o3K@wbi-37}ni!6YPOwZE zy2}Y8nX^V1$&k!-H=lE7mU5>wb$edBQv}Ws1GGS;6iORlz6TS=Y(ElZvB1j=OhcQ@ z_}#MNarlRueE$1})!YYXy}V;#y{`Ix4N#s}Q}1zU##u8*2t|fl9qq1Row^0}Tq}=t z^}2tJh7am>w2SXe1u|qZ>Kyt?G1-MK%YdYs%t3E@ib%X#`-u9jbZq{{TjA1HJT&9Q ztwG_6eT$qxhhVyU+Bo2qS6a;?28!EBT|#nYiY3$_m6{Vz)&1Y3E07_Nt?#K2CQ2diSE8MnZ$V`0qvd)X-n1~d1*12s<@X5@` zG9*u;8>ujdN=x4ldC24wUD790dWx`mLzq866Sp;VZJ6LA)LlVk6TW0JMz^}nDcOyb z5J&R7^X*1WZl$)wSplGuql58l@r&*%rmMp?PFO>#t(gc704W|)_3S^`!re&@H(m5* z1Xog*#wjYi?He8rML639#5n73v}3QY2%DDanLVFk;WSU)j@lKKcLF|-a3iD7;LUZD z7lK93v`T+|jdo{sReqbb+ND3gM!TJ4h1~33L&XX(HT(Q1RKic)j{_act?LiHhVc>u znBs0doCB_p!{M8)n1y_uSxRx?;=)DD4b9%m0I90rM`D1}ovrr`x|2&$65x?QG25R5 z8ooPuV7I06kG>Orlpz8P_*+VIHXsQX4qjj5jVKJrgYnxGR zw(SQ26`VGpQin7t`~t7O&VYZE9p^Up`IQ=9wS_%i?LpsuTjY@3(6Nm#^^cRRPPy%d zxG{BT+m+W*hS|}?FvwdK7b)8#v|XGy5suA3apQs|Kr~H5{EDP*k|(A`BLtJn(q-s1 zq%H%?f*f9C^OL{|qs}vNaNb?YA3;pr7tu@G$83Hjz9WmWz=a9Cj_I*9{Pd zTH85DtcLc(wml}J_Cq79KA&b#L1)0z@+7vZx3K~EZvOeV1|8yfLo!!yO!{Y@-EWF6!XQdqyJnshYTDox^5tsD0bbM;L?L|;&_cuL z=WX>GyL(*bwfcFP7U?TQJMn*wEzfdR6wwHRbAdQycvw6o1>i=t4Q->OMdwfe>#2}izGe4Ib~=uqm}$A(;H4tX^RWKQK(+L?TjB3`3pz*XYd4xrGATUYf|CTj6)7l#S@iQ-Ehj7JV|DLJtVaUx`DQ(TMYEu1(tu&Ww7=)P6y6OMQ?5nAAI1;H(RR7EbuXduWq07 zEEK+RB6H1FSu0@Ar)f&ivQ)&UQWi_V-jc_UACGO36NzWxe;NJ|byYPNGSc>G^pd$u zfxVpB)Mz^-C;CS0iNcmR0Mt{nN{fO<@|^#bP|u=j@?`~(suoOvCv%p~kvL6#I1W4t z7+S&PLgg}HcmWx@@9)A6|4(qhWzM859RN>2u)p7tEnGGxRF?vrA@VfSKy&R@Mz?C{ z4Gk`rUHQezRuQgyi^Wgse&P@xIp3aN%WTS+UAcywmxB|16W|;#l!y!-wD&o1&a<0E znJKg7MRuK>feo8{rL3GL;7Q^%YgC%8v}hA3AHw39uOLwX%MaWuTqRC2BH&WCa%~!S z8&M+gXEp|gmsuXJl9^*c@>LGf1vlLdv#3_w4s?n1(Y!*p&a~-sQbepZw#@VfQ-&xm zTl6_5M$E4pS19DPQS{0ZCWCpG!qdWVbr2XUswaR~U8hWLYzj)|`DKnxAfW`=fz2RQ zHfslR??{!;P7HQ378YVvo7ZgT&zxYujgTUi6Z7gL{V1#=&to?L-~uX~vdg?t$6x>n zTx1@roOw*`nex4iq6qD>!bCM$GIhGHw}4mc8Q(C|S89?NAI7})Mw-HSjwoMeq?YNo zLoiN)4O+VTng)^9QUh!4Qe=lEV}KD^R-;kRM;i`EkCzQ9EhCX~Wh0elJwyMP8iu7l z->3z%5e}LSUlV}dbfZg3bmMMeE|-PCI0b8h7aD-C5qoTNNmCF)-AINs5EV z9&_-Ecu8&`mKb6N{_6g-NNFy`6ZgzkB`cv2+w1?855EK`ebz^$c=uAz zt8_6>8_v&T9K{}^YC~4`;=1vOdZvdHly>D02G^g?+VkT;Pc;5V?;U+_eI9Y2C*Rw1 zo|xx6`QD!M#60Ke_x7Bp<~dKlx92=H&pAE#-X0XYGQA#sf4$ z?&7Eq)g%jwY1r&EaHMu|9sA&c%o#u8Q1|&*R-y zV(dQdb$ZkFtf8vn&Sy0@d|%JHi#_M+8HEgK@U~GOBm~Y{KlzYjELkywyl<8~sq^_o zwn;uD?WBQK#&1FnNv2PI_5_ohdq}(q%Km+X;rG)P8b;zRBoCDqB55rSk9|NpU~GJj z@Lkz_Vrpm&)T9KkGJ-|a!NKUxDJEu7bYOPZoc_WCL-QhFc;Fv#8M6f!*`gt~Al_Xg#(6Q%OE~r*jMe;ZRW@YcJxLl<+ zqPfr&MQR1J91>~xxIX%FlN`Q!klarmjI@TD`nSc!tG{I+OMng`1d=%c#&Vy{mMZ1ArGCK6rGr%xTpq|k4;pg6^5*TLKixx=>^diO@DfiWF* z4yoxqO680Jxj=8%hJdcp+TV<)bou;{{x?}2lD5)E@9ZLfjVOy!XLdQ5zq@t+?xt;H&bGOwK8YF!t&9$B+=Y(Pk|1wa z6fWE0&U!0UU}x1j30z7yK%c?59a4u# z9UP9tnz@-xOqIaK1xd|NGE?X4iyM*GwC%+bm^zwiu~9aesZmv&VHEMF{M$IH>va;9 z_@wU6sT?3U)ci~(Pu@o`?`PEVWBn|TIpp2KOwMlju(df$h<4NeOVg2`urwydjaSrX zW?euMB9@^8-f)-q+~z~=k~@TBswOI_{|wh$Dz&Kt(ysV>pK7~4XM)HJ{bK?_?^-4o zOuB`N{nE<>x=*bVaa-6}UlY+dvQ5PIay(e=kyT$Ii=7RVcMZ(v0ugy8!MCAyt_F3} zI7%+gSu7}l{Z8#N98$MX)zjk%YoC?Nisdw6bo?V2JqHJmw8*!H+ww)@eNE^AB4C@! zq&Fe+vdPuOsNn>dfNZ|ST?=`}uF}FC19!8JWF-@w=9JZrPKl#4XAs-v84b){R9!<$ ztJoDh!nqMR-V>Uws8kr6OSgaAsfqbe@`Oa=<(47jLA&(jMXc;)xVm1Dx`Vqg5ps-O zc$gCZ9XZHCEzn_Kq*}#hgk$Gjv#;vkxR6voj6roBysnx-y~n zLTTl6KBo(XDQ}LKO@VAuryC$uoFwbz==Ig91}U*|dhx{&MY5rwRc<1tda8Q}>7EW~ zv8{p{lQ0|5*qwM0dN~(dsnriFq@FQi4tox}1H@n(ud{L7p-Nsrpaph(=CRa4IL%z9 zm0WR8vE)#~N;Y8NI1;b)JCO#RE@fd-Hnz|8Ov`nnThgu5%8$!e#;yI!$ zCLTGP0k`(AF0V`*OV;ZV91D_U<4Ia-WFdR)MttT@-)@^6mNbUB_3c^>r}G+IJ=o7{ z%J@oVr{@`fTxEaETpV7F z#EguR} z8(z~L`WH-v1LObGBTR0fd9I_tKEbGuT8tO8Jy8?9Pq5Nj1ht@G2IhQU?bpRJ->$>d zq8k=qQx2f=H8jDfNP-ZXCKI(3Uu9Pb^oT%ErG0m-566CyEUVU>dreD*O}CAo zQTQ^=4-2Rrvy;M$oLCGe_X%=UNC1W^S&;9fwoPiOB3O93NZ0dk(+g!;VW|P|byg7j ztS+mqG73h~!nzQ#-{!iCD#P(m?h)<}dIEtTU?WKnfvhhVpl61>t%ecMad++8+80Ka)4@{vi6@He!&(tsz_D z&|2QWWiL}Z>Y<~24!1ssTg?zg`n4x}3taW{jRt2U48D?Tlg?wwZ#goRu&w0Hdg$;z zr^|PrKAn-0_x;#OE@!XQ233L|dPBxtu1N@Wxff)cltl&EX~{4s&W`9~FfAQSBKXZ{ z=i!$lo0x1bEvdNrkFHP9E^rGf#ac!H`kM2eB3&cXyh|hdS_605_ zJojXg@beZn9ay=@f)4lgutsn%ZjE_wFR8T~hor2!i!dk;(I{gwgobc9Ym8O%{7ZHC zKgZIFFY#7{j*p%^`S48r@C1m)0sH-=f@AJOFz=ExHU573AsUFO-3tW9oe_f?7XZ;q zL_{k2>AFxh@z9}R#85=0t9qH1`L{+e zgQ~q?^KX>F(Bx2jj*(Nm&oIpJD0(T!YJJpp7jn{fqkTuZO%m2IIKH<-%k-Dm4qvvz zeL;R@a3XlmfW}6M`S|G;vIlAD zG)2Z2k=Ua^?IbxkO}3fC#(;sMX)thxTdEU2>+C8_^5Q=$}N=WS0W7XaJ8f)`Wg zD~!=3Gi`@KG6i}$Z+70AReG`7+(5{>Dspv<#-`4^*QrasZs*CoS@kQ6W)GXJz37Zk zkB2U!y3?a2Tz_+2-u^?cqsP*%AlU{#p5f!{q8wspnvXdl^=DN@#O#RQP0I}QoZg#0 zNPYr*;&kV`pkJ*o`blzfpgSLkjI_y=!E+J-N&b50`UwSG4QemO<**N3`z4?O|g@xP>10+A8+ ztt~0l5DKc>FA2}iTgn#>1Ch@^gf_*t#8bJz5_xw|;gH31c?o7b=J=KwxxN;B?p|}G z-=u|*rS0V=>^=!aaNMQ@A6=cL$=-!>$B1=@%#8ve9Pm@%_83p3Iz81BT;xTi)!r}G z$iZ`{58}&h;bF1t-*joFNA|j;cnxC$2r4d?TwrW`E&z~numQsOTK*dwLgsB@Rb6Am6!v+BA?B#=EA zy)#!yvS~xshdzVNt2wYsbdW1T{X;9Gfy&1q3xywrvO9q`XvFmsO*2p)3WfC?F(`1< zkLAaKsAVR~Fz)j7WOBT#s55tMX32`-Y&T0%W=?DM)g>1tP-vM18#y|6V*R%D&2^=d z$b8eN1L%wtFUZOupw8TvMcrB#D^J(C>bh2wrVP0A;%<^uKCawZ$A1>xplk#69SKI- zS}1U3mWiKXx__#y6}7qadd(Qdr!R=Tm-RXonN!V$kcPgwM)V|sF3wo6&~AaG8|9|B zvA|_qSp4ypM${*zbb1VYOY4hN-vpr6CY$Mhk3xIk3lB%y*0T4vM}5Z1 zhtO7zlj#!di*S#(*C`Jfe85 zItjTPvr1-AeN(EBVxBE@FkV-Mha-2UX1vTcKx=8OPW`#zgEI7((ptzQg>dJlJ3*#H zf-s4As%VqYRN{yxCA)vHISir3n;LNR1l199ef}7>GUs?{Uk$-uxcc^p^j-@_>wN0* z+B(9kCSt%Q?M7n$Qqm6d;d!IY2}lUxZ}7N)oy6V*GZ3!c5B%KlvMSC85QuR#u!(^Y zYZ3X3J2vH)xo_&~B6Cs7fXTz8ikKKe-1#-{_|Axt9-6{*amB3hodD@7&d@HwYMyOgb@X8kMmR=yE94=D0r29Q3P! z#g3sO$~U3fK~{z*qux8DezG0(7Cn-kNV_2$bGWXD8v0k0Xa0M>{mtLFODsNIn?{r5 z2jK%YGDW9FT)HDBPqo;=h`dv;&k=81W3QpnWvm$!k9R|4Z#X7@=f;P`<((NA9Gdr` zxIBoC*gWRGqw#t0H1N5+*A@+>)5o+2LGua1OvZtjz3ekg3;#wsW$rSOFjAXhwgDN!Av^$r-tSPvt|S5Ys;5jr;|s(M`sq-Xopi-M!}{STeay2?Ri%1(3hPIR zVt`-~>PoRH1PiPY^$uH`xJsF~t2`MsBQBD}yoDqiZw5%yxn&^mD08)sAgQ^}o(WDLz~P&+#YvK~>Mx6MR@yGc^LFj)#y?U$G;% z5{;Gf?_Eo_+nuNZP`H42IDDb4b{zFD+NQQjczt9OF%<|=uE8+1l7n4=u<#V zp`nbTp#`QX#L9@OTtZMDk=r_Y2~5z*-i$I}6#IW%mbfnPr#eFyGGfN*`@T4PN~@u+ z&H-W>Y*3v<30*L-HTC3Kt1((;^wYq0)C2*Zgbz)pwdeHHJiW|Svy9Ii(kvH-kpmGE zZ7}Y|oFOeSwL$eV9i=X==7;Bm)Zk#5rDV~mR@pXI>h92rkrSUkXghVH-aWl%d%-;LrkU%84is(UBs@dOZU_{`g8r0 z)40cJ`Y_o$8G}d8V|z&E$cY(?mVZ%qa06qGt>bLi1g_0*zGt}4JVb>Q{R9EDhdctMu( zHErN&Rax=Bth9IcYjGHlC`w1Kzd?EuGh3@|3a95PPu0Ps{ztFeYT)?Kv)B`06Ti-9 z;3rsA+nEypS)f(tk<2J)-lFt&9sN2Bn%wIvKYtW-sC4X5+u~&92 zQ>WSQ>46uZLRCN|Sq+?Qjk+CRnOMB7p7|0{JsG~{+yADOQ{)4fV*qXE3BNZEVH(n= zBeex1lAL!-t^m)mn7R#Y~c_yq~&ifg7O? zy6-bSi2`WbGE%aMfia_ON@|;!l~E6rmX!2WTgXhyb}u9J#Q00dn+3dYd9$`WQ0e)s zK)SZZVsw^X;h+uRdDvl&DQJ=1Y^hxK+Bc}CB!6iYDPhqn3&}}SsDI0X90Cw;wnT=C zxfB^*8kLp43z~*kFlff+AYPTha+zDWiOD!{(uyu~pgl_Wf z|NT~r3wc}Dh>|kv!I${F#)u)L67^KK0^cT?$;@@zkdQ;>nw?2-=4g^4$OZmDLFz>E5Y{Q@g>>XDwho; z-JP)8$N3K7?l>UsZe_`yhE$4u-VW|Z#CI7iKzdYj1WKlwIkmp&(P`#9a)8^cN{dMF z%zw1bQo`;cLRWH$H#gb@V)NQN5ECBcO(F;+u?cgp`qbnjfB*Fr1p;K1AyENIrDsHI zfM5sWh$#we)myM2433l<^b${Q^l z7a%f^uK{g5%0>}K+sTPE#mNBh%~n0UM=-pTU5EE*f-!Gre&vMdSzsET9VQiy=NGCW z$Y62k49IKs?UZyhlY0WAKizfoCouX`Z*o0?#Ngtf=^gmuPu18M{jtN?PA8Z*cV-p? z$I76{Es!j_ez|wmgz9~|WAD=g=zVH>7vBniYI)5qkYgB@8&Alhgn>NG7YV#M8q19t z$rMI%xa&x!Fp@)Wg>}6X@UVLqnc7+YGWsN7X9pm4@MjNF2Po25^>G}-yOi|9lIS%Q zTivnVVowAtI_pVNjeoS&VAmt$^d&l(Lj9v%Qxaw}^JvJ5gj64oTx@EvrsQxsnI7Gt za>6^2TBQ^Ji}NObMnA|8#1@XgYi;E^+Li5L(>59kH|){V6AXt>NA1#?7lTD7T6**0 zm#SYSSv8hpU2OQE5vtzwSTi@Pe-#i+30Dp|%nVuGY#TG!QW6EKSN;gqSBAWDbwE4_ zy>k7QT9q1|6*L09ef#eb(80zEJ+atx$X4#lWsv0<{s5{-N*}ZB41B_ zZp=zbGUAX?w$Nr5sr(P|NW(vC9JAeW&}8CR_hwa@@zKBFZllg@cW9G7(Wd8yg@ZO} zE~07|RkC*psHic`g{Au5mLNM{ZH-7|lu;LlYffX+^!9w7932_KVZk*Nr+mexkjWTM z-9<0Wc5ac-=rLcfvQjjJ#H7+uz&dD>t;5|Aje9L-D?ak)&)+*c3l@%b>W_0}hr3WH z4uExL`#KZ=D#U;9-v(ao4kB^JD#fctbPn^iBaA`tn`;DCUb2$c*A?wxiGOPs75UGgqDdK`PYQH?vgEOmm0#vpS=kvZ zZsj=v1B`D{q>vmv1QcEGos`(Be2#%rRvLI;_l3(Y1j)6U>w&1?u#vdg5Ki9czI>U3 zJ$*D=>@4E;a3Ym>Nsv6oB?kZ_GSk92EvEWJfdAt-A zcX}RozKPp^wI$a90fA1j4qoe`ey#__T5M;&g>E)>_)%I{i#(mzs_S{T>&T5L$I)>s*}22yHN0Et z%sS`#f}og&n;aS>rNJz2--%4e0CAPbN(?-D;);H}$TrFH^@Tqi6hoSf-lhF~GD@HT z!K2!-fCgWVNw4L1ANDJL{D)N7Ds&l03&Gb;h-z*64!bF~G+9oJ!hH0M8V+ZGeeJSU zHNVJi^r6mT3j^3-=@iU8nYK`^D>c3Q`DmW5oPbtVT@_hNOwJG~>&GxqgJ3DlQ`%-o z`2i%uo_)o9A=x=li@~WkdcxviSPLRbh@h$|YEOHj9KOk-4tuI4H;NVm%@e0r{*&m7 z&TaahX4!dV%H*&IV=d`-V}({?D#eEfYNJ+bBr8C>rBRp3*p`Pm;v8KhZnwdM$ryiStoLHMl=3fDQ|+OH{a zmoLJ?B5PnfpWn<2(krUN#Kb`=jR5bBk!v=6&1yXA!ad3x^bDMBzujKs`^m>@Q8y|4 z*V8S0LgPLWsUp3M7Cpmn?UFg16lvgLU7TO>;f210sUYcP%3bRDb?gqfp0 znLfOCG(DxDF^A0FnhGdg;{?C@8CXkbgT53JP1BN^W7b>Kn0tHJ!92$|zAsEJ38y=&JV|4`D z)m6$}1z&hI) zMhII}cnk$oha<@-|M2+U;i39MC>Mq5&6?22p3<0uub6NekvHP)aaTx8p@BIDtKgE_ z(f2#3lN9?o3G~BdY>$;Er7WeCj#61fb>}|kMNgkkigeq&u|99FhcUW^0kDzEupZc} z3`RQ%4V!Yh9fItl+0%92q^cK~M z0ku<-87jqBK17n?_TPAG7p^7FusdfTR^Tv+bY6lZ&>+ z3u~|Z;lX^a(c>fdPwhFj?s4hBUbOXf3Dd%nM_0FxN|IPG68SCA)>YQ$tg2mFl!bD! z78M*0H|aWErNf1-L!3Hyr5};z?Ay3i&^pIxOK2Tju5KC(pz`;iQ+CB{Yd_fHl2*qv zsQdf0!0^j@&MQWp0`uevvNLS5map(wYy#TyBuZq>lfI=yD+~Pq8lz#ZM~6b5^D3kibGH37kf{FQ)ata=T~uC8F- z;i*%of+~vU4XVGBU%Q>vjglSsRvD+rIR3wPQ<(tU+!M(wLAxFshZAun~d2gUC`zYCa2>(Mt z^56MG-CXNlr6XwxkQ=MohwlJ3?Zz4_=6$gw30>BSq+q-P^F?P_p*GQhoru<9l7gy0 z_=C>6x{fEDRn&v$f~wb9HLA-{d*;Vv4{WiC+Se9nr=)YHq9U0|uZw#?$wX9{*y68} zy+gK7s1Ij6q~{(S5&!fZk4g99j0&ytc&7ck9TD~6jE5bA(1?uNu`QeJ zTzT@%`IeOyzw6IYcWsAy`~RRHp!Q_8oM6NA6j8vLdyIA0bd0Er1NMr;L20*s+8k-? zR9@pq-3MnW@tZS7qt3qB<~5n;^t%fweGO5=*nuc>iViz)JE^EyfIX>yf>mc zC8|pVp?&DCdAfJrZfQb8tsB9&oQe%|*S-(dYNS+$2mGRiB7k9<1COqQ zUjiMpC0t^OTxteUVnfy>gTUMrs)SrfsMeWAV8M)Z!>>O199QNi=YYO~9Q@~KChaGm zy^lY9#=4B}t3Ru&pLth5%ganNM69Z+NbVB|D0Y-t*J-hxYn>6u`Q@9fkx17K1Q1&O zgWvvh@9dmv;TQ0;c?PU%%JleDeHmc1JY&Kg5(~4bQ+uVSsYkIL0j|}%DW+*MO4eW! z7zM+o=D!xoym49M+_ERXN9xVUcI+osaO{cZnvyil!f*f&QfGaGLP`CEQg$@TXebKG z_mr?@I6%H8-Qp7;(8FHT^!yiFoPnikZ;@Wn<6n%7{9Kv(kvtwXT2f3Q5U?9NM(M@g zBJU?#G%wSOykzE|;$_-g(1;67?lrFpwL4M9kt+i@SyzDF1Z2as0WxEi(5CY8wKFho z??c*Tla1Vs$gm`Gt4?T%rUJn~MqfKiA&RQD$es8Ae?7iZr%FQ@zuU?cjd73kI)sPc4K@RrTM5T%vlt3YR=()OWDPsRNdl?#my~tfLDm3SzoRK=qx;-5u>$9 zFDOi>Az$LfIBriD;>yo}SUnOf38H#@`}R@RAR!t&W$t2*LzLTh1F8NN!6%6_!e;e@ zT-x#~v&hqPEFI!M6Qx@2{5!)8h5Zvv;5XakW?R0>(_~M5JDUG`vw}&}d|n=mF|XZR zNF<)Ae6*XiOp}ZBTdV<6J*X{77r7q2_weA}gJY^NnKQI*@T;-z_InQ>-J5EJ>nzJ( z!fM(_;zQh@KMJCUWErVx>s#CsfcaW&J&oF6zRl{w(!4r2rs?VF5vBsM1w%L>92VuO zuw1a~uZS|dQylm0(_u;R^SlrV6wgr2w61N?_57*)Rkqjb9b71PPc0d@S?$%enu9s` znC>7g-egaG&bUbIzC4x+z)sm0srX_xY6jfnVIAO)#gNdbQ(jNGE$5sXTyAp=A8;>r z*tTRJ7qzYQIa}rHQ><3s_A-7$yYMrua^gCkoTkw;5 zUwx{{M>pGxWbY|)UVfCo-zZ)1ufNrDECNo2gMko9GV&kXBy6W6;a8gYSjipBK`*k6 zEC|(Z10O0MRqB&bU3~_X8IWmdxe>b;kpvoH_1Z9wgoJI?g4>p$;L_lxg5j!`zc;}C z|M%aau)#d*u>T#jsa`z zK+Fp0S9QoLBFdEPISr0ulwSJwBE9VCl#W=hS9KdB$X%N!)*Xu@al1V|YX04>1_SCs zEekIrYzq+qyJiOuXP)}tc1NN?WBD{oX@x~%6XhH$KSVFa%}p&p^);ciaF-IHcg2F7;;*T@$s+NAxo=O8mu+g6KN2prCMd zbVPm1*)MH9^ozb)=m0AH|NHgNebvt6?jCOc_%NI6G1|}{Vv;&s0uuox`fMf^#4gGW z>>exoL5-9_lo0wgJ7-<3g`ANZS8ogU{lhXuMp;gph_3q;M9s<=(4|~5uhXerOanTV ztL)C5-u~u0UDb&JMc|D#YUn%*c}-X)VIoepAmZUJRckXzWg#KVRS9TG53*_vM-1O2 zP4$ZMkWYYBXIUj*;h)c{R{^eE#I;Z=Fhc1mFxBwe=LAkl-iL_MZ>KlS2uRo)pWrim zvrrs`oA!HX&>o7iMnJQhZ8(PnE1!t!y%;GFQ@k21%u^mMsh|?ClrP;GGR0?g`fXN# zNxF9c>Ckbs$TFC@#B7?j9qpou)oOFE)6?U_hvT^HDCaPEdU-77$ZSw+-sYvN}n&=C<@%^TzRy{q+SEWeJe*93`M#?72FmsRk z&*t5_+voyf!1){*jLR%vu4Yxes;Y%pqIx8NfyUc28zfm&*J_1cW8hRd3gAG(Ff`I_ z1udEnP;Fim)22TgSB2Y;MXDI-%ZwA}Mb)DBwhMxO)rNtc!!8&hu{Qd=?&&4eMj}Uf zvH(8+>Qbv(BaOW~b{jRq+cJy~!8@&*4DF`df46l$ii6HQDs37U9ffL+V_Nj+u9M|@ zKWVy!H0e6{dq)T~f%`{|gsmH*kjr9QrXXRgp&o!8q7n4 zy)i(}5|(;%gj*BymNF_{?Z_0Wcpi|x#HrwGBsj zJ_&;!@Zn)c#zES>2zTetARJKskp+w3l4e*IJiT zOtV3##DRW>rUyJYJa*@t0CD(z)>cHmX;}vxyZ#Ey#*aVy3Xh2|&XT7Z)$+yJQ!9*3 zo>n_gYR64i$&(g$Qlam~+FlJj2~;;+0q$~X) ztO3@#?c>?M{d1N<+B>j3?T4EQWDerh$tn!CQ2i;%PQLvnM7#Ppa-dIjkKG*PGMO>cg$3- z+8j6xo{#Tf9Jl|;AQ@*5hGOQ}q<&HDP|b7dg|i|z$`_u3S6-^O6YYgp9+IG7LOIV1tMOkg+;)z)prtNHmm9W4u@=4X8b5xFJ3>gYSOa80iSMlw9N>*-TE*1wt-n zhhx!a^G&kO-(Y_P4d7;-Oi1BD*lx>B#U#n~?;RsdgKcBfYCNyK68w z5`ogNFWtlfsSwSMMBK>1>c~L$DNs(;f*jw5$~ko0%XA&jFA*gXpx^rW!#qb^hcdyN z7FHZ%>8$JB+i+Ia>hN2Oz*h_Jz1c1>PDGbNLmSzd`=tRpKDwn^lR&lb=v)+$h^# zJ>mo!)mg;dxy5)o`pLzT`|3#`32JHk;lf1*yY;5UF{W*P*KT#<%s3z_eG;r;hxqp> zXBhk#Ckyi}A$~fMbS6GAxe5K-Txr93K=z@$TB{cOuS@0{V_L;h&t)!ZZVh3c(^}Mx z^%#ev%yO1sxS4|`pVdV+Uu_J|7M)kx8-;&r{w}s}dboy-ML{4?U1l1ur}vMhspdM5 z<2{Ys(gZQ6JBMb_5LZz9%=vs|)U(Qr`+u}(EUou1xh#kBWW|o&5e0J=P|p-(>o*!V zhYum|b8`4SkXyc&jF`a|q-w!N&iLSEaOmc@~UUe2Gcj)6)!vWXX z3<3?kL)O=Ij#gjv2FI(Lv?GSpRntGmd|Bss`I2r4dsjF$Z=@|0=UB$oz;SDmjPpb4!(J_A_U~vChh2zz&mN8|9yKhX>GS(MCa_ z)Vai?)!zNgp^Kg3cjwIcPtn`}f)0qzI7i;IspHH4X-A_LH z=)LF9M|XVv=lLset=#wgGm})OAq3tmyO#3x+8{uP+q`MTd3`OXevWf)93oy>+&87) z(dp;-*M<={Hgoz$U+MqePlPUv$GfRq_AsRDfQBjMg)!HqHax7+xtm4V<-fZxc`41y zJvJsO)S@98l-IxJ#QJC)H!t~IwkOnA_n#%dpdw4S22B%O9Q4o80IluaUih#W&F!Bb zrfFcmRw-H3q8ayZJA5#~+Ba=oy45y4Phf&S9KzjP zSBxpMZ@iUK-`K`+*m^JrClKI+oPeO}OI}t`RPNBFiNVmX++_5XJqRGWu_aJ;i8YO? zFS|B;`;WiVo2E%)Z^+2z>d@v!W*01NyHpvz& zxKmBUH;l0_R%>apSN-~Wkb>(`BJD_iHEO${1>ZxKLWDYEL-2BZ=J&|+BCLoW_;Nc_ z6I0wE&IJ%hlpX4SQ~-hzYVWL?=M^{+)mkkZ`n$|wIm-*2Jpeb|SkM&`Vo!g$Jv^8m zO%IS%LJfO)8MiPPnRuhev*Y z+oUXISI8QCYxPO6=Ox6lh8c4m<&dc-qNTZlR(X*wvO+DxH2I)FnoN{W3#nZRkt_5o zz2Lnrf22hu)T+R+MofCWuVt;q-<3j_uBW`8yi{wVswDx7I?9PdyOW9K5^!(;exO^p z!F_ITUo*0dO$7o6uXBw!Lgqf-nfe?WqaX+qd0U6_>2|jLMz!#P7Gge2FK}8}*Q4o)djC4cO&K~pGS1f_@LEEj zy~0H}b@S!6W(2eV!jZ?9$$FT1)m&Hg2K;GA6Rb89&0T!C@$!5fl-Ck^6j#O~gVQj| z^{2xk#A@yiqTAbrYfiJh1r$@a7f?EtF6L>oNkT5n7a!XTyidkDG`v^TNEjVlwOD0? z-Z)*BHM>yNWqpla*A;Vp3}{g&epNFskv0B?WF;7_D&hZm0e%W!B>{?qani;bQzyoT zaIxByXe8}86e%EMViqdxYh5Gr%Y!%tZ~q0eK_xz@2mk2Ui97*6`~33{l27Z3*y_T` z{JExcGFGV*ti!g!#Swwg)6>)BqMGT*;uQ>{X`Ub$I*uJK@hPlx%PqST9pv6PFkYuPW9?WmjL227DzWk&VOzz>jCuh4L2a6rh6ZB#3tio|UIM#ikh0E7numDnL{R-4q#xD)koq=c zNLQEeCosg2uo~F%2&@EO$!ugE0J=~IpX9AW5}HV`qK}*c3WjWH?~>i-Cly#7^Ns$Q zYsiKW?NcKnhdmjAN}G8l676#;&PcAS;#@81i;+kD7-TFL)#b92woG%p2`SVZZv#VSZ3T_a zQNV|%qw-Cty^wx%_n^9(#2DW0Lo``}V0(8OVzfz4G2LO5eCGsC+s>x%G~n*mZ~p=O zCf)=sw0~lGkyr~&6?qwZjT-6WEttv$Qi^TiOfY~WojDzKi41WbIeV1?Oiq1vr}w5u z$=>lJM{MX+iVYpL#fFX_IZ^yKK|S4y$hZON;KbN#zJrOGPVY^p$=)M(X4Id=)J)q` z^T?T+u*y;>Dz3G!ta4GgYhI@9l3H7A4mcGUj%R z=ZFgrZ3<3Sowb$+1flCWq~+UTe1}gd%;AV<6H_bM*~f8MLM82%MY9D^CcWXw>nMUF z$SV!YpH5M%I1(HNc{58(wd%gvW*M-x0@)q=&gvuuaBZ`}aM>lH?}REiX}#s8Ub>C* zj*-)EVM`m`7>jzj089DBkwy=+OB*4pH{>$=G)Gfh8k6J@jEa$8M;9R{9zvkxrYGWVNl4f;7NG?Fx*k`LmHY;?|fXnSF8?;7@@wtuB*KQ`*L7AcAIB zR)cyzS8m4KqLhguT@8K27vk>c?m<*8jZ1T4DyBznZS*N@LfKra%B|gL) zgV2yeURModf7RQ-tD%X{t5m`+_N?AKS;ZyDMui25`<`| zo%0bFZ9jpFp2UqEQyWSqVcXc#>NS=*)q?JQzjqVAUAjYon-_I@UB>UmpOp=*EY)#G zD=f&}QmzE5h-~4Gz8^2N$O)W>#qkOJi)jS+T)Z++7B_xZ?Nm$&s~mEl`V`fhJVw-P z!4@?K+pJlR%DOpuFd85Y-LB{t2@E-JJ^G!u|4i5i^_Jo=S2PexdvlJczrlBUUHdUo zvz*0pm2awFB*^QIeHyd8vAR}Mx{@v&fIjp6*4SKjyRU)Cd~?q0-!_x!c)AX%iONZ2 zqNM{CHps=jgWS}ca(k6?^Kx6DB ziUSXY=?J^?&$5m3m`X89BfhN{Hwdpbn5p+n4&8W9*SG&-TZf|dnJFTILji@?UHG^q z1(6Fh@R(+YDo;3!+p+<7qaspQ1OIKvTB2Z@vUus0g@kv*$hc-jXa$j@;!+7}UB4;X z&h!WIXqvnW7P9((_+O8d<$QShz)&RV)j))V!4+XJD%7&OF5Jo8_ub6PVvFfvar*m? zWqW~}GGAQ*k7Py`+)-v55P>10BjPCXRV?%?^02r2mh5O-nkXS`LBId@P|LtMz+Wp! zefHXRfqRlUGb;^6k1*$r9O}-|`&uFCv)4Y+zoTi09>=|Ba6e#4pU*D_oXv~~-!1;^ z9=?7Z>*29g?l?x7!Q1}`58;(^{gN;lIPYcG`FictedNSmkYNxb!3I1RDzyM80AFEV z75?ZKp+eJiAOJr=z`wMpP`KOZCQqpFOz=yIg3_TIyM8uV$f`>j;z~RZ57xXZSSKf-j7c(HazTzIhC4yImI5j5V4_^tpx@8kWTy{zNy$_VzI1r@Y2Uz9D+L zR4*li+Ik4?Lr5&Ss*3G8Yk9&JVe^D3bJiK~W>!VM0R<4C`mvvc?niRhwyK`_1Jxr4 zrkL%opjayG1JgrkWENbMj zpzkO~by|NL+?T@#DAIbOdHJeRy*P-HRZB)jo;iPV_B!n&HN_>sM}9#BAR+_AKO8vWy6#v}bre?4kEmEEIF&Xc?5pPgK%9*$8I0%4L*w4f836;NON$#$caDUxRz?EDlX z{`~47%35Z@qh46skl9ub36(o=y)N(&6T}1gIJ;6qgy^Jt;RT?wU#R0reOb>^t<&k2 z80s92me`=?X=W?X7!PTt0u{Cm?DBwcrTnq3{FtoWbjTleso8YcAi_0(cdx|UEujU3 z5Kwx_Odow|tY8A`E8vZ{pWbx>xspdR(r`L?q`8MXi9Z6Cq2c||=!8BC`Mb=7{WVAI zS!f!%+Z>nvOqv{=P%W zTw`NF$2>+vZ5ATmEXii%{l*h`!q-KZ9q{nBgz5zK#Fv6-;jthjlC5#hNYm_*9ikT} zd|qm1fBy54Bp!O8{=^5v-)yB;y2N*7oE+p-mHD2+wwT7lu@urbEcBuffk3iWuB!yH z`4RpnG&=#Z2%|?J1yh4I{4Q##W;8}u7P)Zi3p<>bYTrnU1%QH;HKoRbN(oz5omEH5 zS~X$>#Rk=}IU(ct?tW+Ky8c$dr z;)w3HCPy8Wq$In@s|1Mk0JWjsKw0PNsL<1*78+7&!+NvJ_H#QpLIwC6hrG>MW9Fy{ zloDD(W1eOcc1TOhw3MS@dnSx@g)wtu?)GN*2yMUFrYkTNP3~#htSpZ7Xvs*=B`46**Uh5lU%3G#$@S* zQ^6X@=i74bIOgIZuU0@hvR$3KK!iGlw|!otH88)?a3%;#ewnEzKLX;N56sWX(fy)O zPLTKamP>tIX-w14&OS+wrpL#VDZwNrhpxJ+e!wkf#lIjz`7NunYnMt8AU@gEC2-FKFeAX|o&}vrmheT21Uk^jDt>6UlKrv>A=94W-&S zNh)PwE8AUqFilFWxaRTA*BqPNmSlF(aQV{wz;hoh@L)$~9HVYnylLW`6=gW7p20Cq_`yhjJdL-i+qg>gXJ~U90Rf4B$-vOG%YE+Ra;$!1`o3> zVe<+XyPCk0CLop%X5^m5B&x;oFYQ=JOTv42>I*+*dU|@|h+hWD)~x(W=b`W+UZ(bd zSN%MscTtvf?n(9{B9mk1k$2RSY_iQDDaqHA`v)R3i>!G=`i*}5+h5U1wRiz`Ta8xBAfO&}l{`F16Ef zG`2ktd|{D59k@wDse>A_ksB-t-vf-PmvnNBMYP?th=ks$Ec=`8MF=o#!IekCTyW|I z9S3F*Dw?(sSdZ6lP>~oik9uOYbm9;t;0LW6SvBcJItqzo`jRea5Shdt>;g?!vKQ)aeXgq>n)^c` z7UqUTJ*6|{La{WA=Q$1mq(7uy7?qrwDi09Ra(EuW>4Smi3v@mj;IT%%gG6YY9!!r$ zMh$~06M{us78${AqGrHsofCcqlh{{swI`^j<`N`WG|5G-ZinxnC?HRz*6StFb^I4^ z|G}@Y>&)D{P`o?f6#ifp&AriQ{XW15ug4bIhf3%S>OmEaziH}h!fp9>q@21P=!~=7 z30qTFTZ74ZQKV|+rlUxX+lfGUMX#YiMAC{xtSYrWRR8<%ylG>I{gK&9MwXN>l+GZh z8i2S7ZhL%o;Ez$a$md%^Ub{p_VZ%s+G+Ks;#u2CK<)QM#9VFRaRER)~2dY&hQ=hQ@ zsv7)oWxFjKYsO$q%d*Y+k$SgfjE9-#B}bjB7iLe*nDTMHOs0p)p1C8Zt@L-1Kb=7( zp|9>^WeZ)bAg`DQuqO=MQQP&wPV(SJYw~lCG?@xLO%~K;2DqkRCk9P)ea*7QDZf~b zTdPzzvZszkzExc|GQ1Y&#SQ-%u6THYzeYAFw<}8r4Hq6AQlcFT&0LtysBz6EagXIj z)kzyRNS#2U`#LQp$M$-JOldx4d^|%)`m%26gZX~cpH46ps5a=)?8Yyi@y~7d`KQOb zKmYVtKR?@aZ0xmE-$r7})Lx_KYTt>swr67B95^sk5FG>95(M$lzGcPI?d;GuUjLfi z-u?xLEb~)xtxHXSjB&%0!^z1}^3iso+`sfFqbQFhg$v-S z4Edai_vtO*8hKhM0sC^zzcH6;ppvXBtcfIt+ZBu6puNW%MH& zM;_sX^hf%dIZwe34vgi4$IAJ;ltcQlqwgwD1>p)b+Zi1=ne#M;t~J@4Vin>6v6weN z&13Iz#x&s3c#xel6n?z$RL_SrHhjwC&5^aJhxNJsml;w3v$|0JEZSmL0M~)2F0a?EF8^gRT#~N4>VnuzRzh;MP zSn<<{#RpJEfUg~)MuriTb=XMbg;C*BsC^MwC~ic#a2H;Cn8zok{Te^>!E^p=E;#!G zJLf~fQ=JqOHWG+&khRYy)@0NQApW7W)GN zemd;g|1HBL=r8#WxH)>=Wk;aR|4^SkO`fa&Lr9|t+8!n6*{t4zhYCE8Bb%(SO5pwj z5b*5|1v1N}sg=+i0(K9YRcdV(*|KS6jE1OvV_a0IeCN8Rt5fVdrtaM;QYF~l?vD)O z-Rha#4cDZ0Xd>0`-j?%bo_~iYKO{Y($S|#7(XVx!w;xcl0%+Is`6jwIslhI5Q|_uS z-)H7i2{XtY4(fP%L`Uzwy1m*iSA2oCNvd^D&=y#--)41XZaf|( z`5M%PRollRU*}+X?*QZVOfLqCLp#4%=Zi%FUri1r3%|0|WcG0`)2&)>$$CDkF^B<2 z@_+lr@?USfZr9jSU9N!M@R=O3HZT>Im^pT=d-aE@u0@0}g>0(dzOsq29x<#pQ?UE% zc>dwMk-;q4cSsmXzw7#$NZw1>%-Z+BPme)g1PszOP~(t5!{d3X4l6FbYHYm}%p#~w zt1SiL+uo*(vc`KS$|@U=TG<2YmhKpj`1~u@T(GAJ{A>l29v7DjPKvZ#ZlNI3sqn)l zfOB~}<9!G=S7-bP(o<%P)}<>aaBbhTzYBK$;noe1}6_lR@yq&P1O2!VJ*AlL^$Lh!H) ztXK(zG(7ME5;q~l?1~2-V8t5`pw&LGXkoGcVrIXYn_uE&W;a@TG~J!Y!`;l>+%CWU z|M!2NL0qs?0vy{myUY!Ll#9IB0OS|XXyCTkOlB5w-cyrv0-89Gj{wYZYV}_8ETQ@_ z($>w&V7AF1=GDzp3u=J~``0aS3QYc562ziRU{NX3(oSe0(BbHIE%RjzvxKVg5JsD` zlO6|{v~GxG8q~Kv7!HGCAr)DWs;-Id7LpY)?)x0)3(JDcE?<%5`onfMv-u~*MrgJc z5*YG6j<56-7`P!3h>EP;` zIA0+uHFGFws_@wtjU@g{4EB5u%1Pg#a#C*w7oL!2lA-9|9s27~Ff;*Br3%tMeHt=L z@QZQ~LULc#^kRGsE7(%)9x)2!EWi++ZYZRG&gjxG9ly);q+d+u$*E!bhz?)jNd88D z8~tDfl?R*3W>F-GOqB_QvTbI>b`q=oeLI2HN0?zs;YPG`9A)2)<11PvvzQwq;~Dhg zEIz6FsA|r@ReIXtkk^Zqo7|KxB^=+HM0mYxDU%}4UMJO3=z7;uutVy6#au?8*_hxR z_qdg`FjHNF=34IlC;+st5Lg!5`NWqxb26MFJ%_p_KKlrGlM_#&U;-)Q;B_?6)SfiG z0st%EV0#4U*k8oUORFAT(UO97i}r2Y`f}v(H`sV%z~aYAVN>Y?S*UIpU23yueUPe| z^)V&962#tEp=Z+RdUk|0j?V`*e39hVnkNsb7|qC0){P661Lw~nLzXLGE^rCR^hw|O zeBLO;1?~Y6*w#2P@D@Uq!#$}kNVuq4Trz*fN#B0q?XO=fZ&zxA;uS!19+Yi~{dP%w z9@1oU7DRtZt0ep#Mh!R}fomn4n)+Y$LFJP4{0*0*=Wo0eJ%8h6D7*wUFEAgOaDx9K zr0o;rBW&dSm)VIXg(^@y{n&U2hO`7c{*&}5?_*xJ0)KUftb)pZK)yPIKI5VAm~7K8 zwO7en@6YP2U176Fk`cMhm0_*xXVS6;mPoy_vLTIzcF3ly72(U*Q?NBOD7z=HaHT6e zFTNoQy)2g=8KBEwi%S4+{xRtT-~9#JkGu_n-G)f!pi`#FcruGY0M;3dUTMEg+eYPO z<6}n>vRdlH}&2nK>p}09bt0kz@lyVnXAuIh7-aE;I0~0 z=;w`$(198Sm$MJM@#&mH?KKRINQaVR=*AK_J3%6%Ty%?8d*_R=-vrG9!{yA$8+z1h zHfPBSDHt6!Z-?tg`u@ZHXmtAhhcH|}c8JMbTDgMASt(KCQm&6xY0BDh95(A~_pxs3 z(|mJ}w>h)oHCgR(7SF(LSEnYO@AdyXW4ltu9{6;oJh65DQnNvB40o|deq6~9^m1J> zah81p!L5=#0^Y(WcUX#b2D0X;SPh$9QqceRFfCf|eV7YMq{EamIP$o1^$qCVg$bng zgNIBCc!1pfnjsLC=BDWi>^QnKXyz2O4I6i8*!Wl6ut{P`^lMVeE%`4WS`q5N4K6Ej zQQZhJ8@Rrf*4!N;?iQRa$bu{&L5Qd=Fu_2w@=&5THw@mBM;N-7^M_#ub`GUCgX4e^tHFxk|3pn zZPE=i=|mGI$LSKQLqnLyOJuH!5_V{hH&T!G_JOn@T>V^3)Qm2SFdz$6-iv> zx3a?+**TGlna7v1Q`Lc)l8rR;nVOiYjo>u6PLqvV45J%jaJq|d+Ccjq?;kF_h>YH5 zMY4gEM{Fwabe03FsS;%L4hCO4i_4RZltE}iC)zJ^yNpoIahFtZkEyOwiD3!r(E1?Y zUNSY?rUy)C@GkMSF~HPt{aj#VKw`c+kIddVPuR8u|mF@ zQe$7!WTNK8l_pSEHncL{>vP2*jrcU$Q~%kIPNF{i&+$P04WI}FKHW_l6U75Grjo_W z5{}LQ?dSqft#H#BpxjUOdW2#8FsX@)pe$|FAG3h8&XRvdb~C~;?FhTuPrD9cIJo#f zphxx*8$o~6a{_vPYzLRnGx{?gHDLHz1I4hDpKCPK{RX#o?KD$tL$`H;?{wDx^xBG11WZ(M5+qELN9sVq*vbGck93)t&Y9o>6J^&Z&&S?pf;PQse^Zo`|Z;MU)} zl2!T&WaesWz_MYLuU6wc*rl?&fAxJgJL8c_xTxTujpx@SYv=`;a`NgtMXK2}N5mc@ z_Lk;l3CYC(g~(=VcS|zMiyQDsOFG$V3J2Lf-tu!#dX|xm8rr>^ywMHYuhn-JyLRv? zv!d#!Ixg+lhip-{E$^08T^-05ppQv}W4*fNYL}dm+MFRLYlJMeyMM9OLc|dd#qC4E z-jcYA3)L1&98_=pId+tlpi*~)%{;^9%JM$DjTdf+QH>(gPyg9$a#@R_(#mBLlcq3~ zQq&_yh*pr?-sJEoH)0>P#A%Uveml8k;JuH*5EF+bjvsJjUX)ybgT z@hdr|C5*;i1Ut?6f*#(IKl9OC0y!p2D}0vUS#Mxme5gHJmJo70qUqQSO-e z?jgQ6c8%zeXBk|AQwV(08m!i(B-PG0cp$Xo`m0#YvRlNfv`Ah@eMnq6d`pXNi^ApI z829HnhnOxrS$VERq~Uav&iEnDzzm>x!>t*mIF3+z27k8xy^3T+bMdX}25rCyGqO-% zgE?cW*}r;k_m(qur}gqpPa;16GK+y7X-$r!d}AQ!W`}ckw|(=Z7$p_JB`|Jk3*6c7 zW^uU?!)Sa2Ml4#g!(M0ff&RRmFjRN{eWzSt%S;eRk(F3}rlOJ&j_@4${=@!kH2D5Q zw49#k=SG9N<)YzqpsfT!=Dmhk3q$4RbQUuow;>&sGEp6}0oz{4ej6hupi3(8+v_ot zXY8QBo#m505<$Yby(aZ|V40%D>C>A~?H%ZJ!%%kvsATD)UH+_h%y=LJz@*59$$M0T^pXoR?+OvoYJMz3HH~du1np@(-xcu#8u?gz8+c zx2gIyx-8;o;CjT|;&2qpJda??jVgwyUY;Tl`Zqwa5G4Aq;gI2kL|c;8JZC$`LmS&< zA_FV5(d;Zskea>N!oT*n>t6FoQdHL=Q};Z|lP*DiZl<{7fW0T_oA&%?NoF0Qj4rJO)LlcNi~6gC*-u@WCf)I#4i@gjL>$n+Cx+? zF#_j#Fky>sX@*2-C#(cgn~c>mtk720fG^5>m2Pa|X97Xsl(Q3Z0Qj`v3FGfXk}qsE z4{6?K_ao=3eo6Zc4-reS7s2_2Jj9d;P%n4l;Po3&jzN9yUgOlJEFO7lJ7sLMP_k=hfutk`%2Ao$gL&Q}=}C9!P7QCxXhT zNyR9WI=qW~dX?OogIyhJxD_$pL<$6cd zHh=~Yw9jE}`$3(-R8d0KC+bsj%%Cy7TI9;pLtNw@m$;`Te+Cu5txmpi%-K4x)D#%r z)%OE-b>h>W#?t}075=WuLBNKu{I$=`1F1=Ge6viDsLyKjbs7Aa6Wi-Uw4U2D=$S~R zxcZyK>U$+t|IPP&t!i?9S5>N?KmGhom8!++uqUK~p!D9#hhDD1057rt1QQXMhr5P& zn#>><<~k3`TpLQ3Z=^8wO-j)6-skdaF!U1E%E61^_QQXSt!essM3}?j{UR?N1*uQl za(dX3W+lFhHSDX(-0F#BdIVGh@n7E5(OMe9GUZg06nm3+NwT=FmErO_E$ENzHnpO3 zm90cNGHg@eM26S}CL>ad{;Wn0ZF)&7%42AA0sQ|=yFS07A0W~1DoNIQVp_dhry(qQ z%YGW%56QVzh`p?;*Wpj6S@rrMbWAHY+tZt6i;xgJo<| ziX)9ER1K{pGs=e1bD+kR{s`I&Ktof^R#0UFqzBAFQGgO(QQTiY7L_i)zWSCwHhyO)jUGz zlqFBzIF>kTs3z6eVF%ow9_?PPNW~ky9~}~9QNr4G|b zy5~CGLU3Bj=%hjYF5)2MS+fS7S~n4-OTd6>7S(Q>A$w=wS}@jewmu*ZD6n=z*s5F1=w*wkwSc43{n5+6|sB3(1v=a+etbVF?bQ* zZ7IGI(4|79x8gxm-mWJ3GWbbd#|Dv_G=JBl!(?BQCcM9nySpRlK>P2b9iAg&y zS#%hj#D1uV)(65g^4tN>XqqBPV?>@`=G(vlOdqe=|GvyY+H7B0m@91;-7-SC{@|+n z5^g2FIM|sr`L8`u=x8@>7-bGTnY}svwMqa!tT#Q7geJ8-!|pC<@nN!HiF9KSAbac^4H5;NAbGc>i84RPIun6Am;7!OVMC_ic~T|B1XhtY)!N4>k%@y*}v>3hrQ zJACx_?f%F2jLyYPM1E~z%JMX#-ewh}&L(jx7lwvO0^+>a)^+JTe||(;aWTmB%pfQ1 zI#CP6Qdl+kry<_@8Qtmm$5-)HvZraZpkMcbq!X%7$3XfV7h52iFOt`BbW^-SDb!6u zQun>=LEHnw7d7@=;}-&rR}hM8Z|7sa^?nTO%*a6j6bg%B=m*KVsMv93N3*0(T7 zF`_9{L3q7@rGHnc@QSLdl2qZ4lh z$Ve0o7$bgP=9r7|yzo-}uQTCY|06F$b~8`moOx`$#-D-nkpy2x$Hv*5I!v?T9ymwc z#J3Ev00*+#zya2J<_4irQ(c)0fCtVQjGsrpgN*iju&AEVZhSjDjgVmzO9GU!_F6pePq_bU0I&UiJyjw|kWfl8o8PAG}gRbDHgm6D}3#RgLxKW=- zj;+#?`fZDde%A$)zdVR^5#9_Dd=)Og(nsHZS)oXE1nVSNF7#gYPE#8p_3Y&OkwH=uoZ7IQEZ> z3XJK2po3p<_kk}AgUAv(;(hd~G)+ba(IQ*gXzOFO)NNp)eu^gaQ=J$0IfcI24=#}k zp@g+ilA4fj_Ml>phfmvZttl~rw?ioAR9!@!6W?0$mK+<}mHB19!h#KJqwJ;Df~hwc zs0cg!W(&khmT*<=xCWOQZ_dQjKABoTj>IM2>64~H>- zoXIu?A+nNc3`sBmKSI@>_S+gdP;P2{>-lZb#f=f}n&;1BWKw z1sYcAd|L#~6}@QkeAOSBNy_6_$}EMszNT+Xr&@d1h2`1{vI3A>3Yb9VG}2PxhlF%8 zC{zPRlj1s^iojyJ0)tcXscHIkZxEQ-b3=KNynHXVv!eUt0fHRwfUj>jKcFXwfMiL>0@8IGS^pmsa~asO>XWy z$w1S?Te!?}#;wy71REg&5`GfI8Zco9lV_DxGLUNZMr)oUFx_hnJ`nX|zzFbUEYZFH=c9*Q}!aRK;pBAmQO9S{LRriffz<`0!fSM9$K9{}P)?v|VPg*6D zd}$i>k{TlEA1Yn&SU=R>7GuXZGz6l2b$#@OfrZ&NyiA&UpH2S5~;NJD}&+_g8JVR*>lfyhEFJIA(puZoRQ$AAee*&idgeFAZS?;KvSi)6jgIfi@E71Ifc42|w2K4l@vp9bN`QNMRXCzu;bZ0ND42GA&j z8tgH*=0f$)lQdE1p2rJy{Lu$>-Ovmp-(K93K&3j7GdcuXkMZc8Vw3+Cnq(l?k#4rq z4y;7*)nkb|OY5Vdctkf@oxaqXS8~!k=UudOD(i`4EKn!_-H{uH4D$4nRoVbSW%t5N zQWPVz18TJ`ukv}KIwQYY#%gKQE|E(xT|7y1BcX1pQwt7+>n4E9Sp}IlqpBZ*Bh72V z*SLmrwF;Y^1Sww|1n?{-(=8@qBg^_mb=d@cwE;}jr@|jPbVmYx zz6B3e*&N*YA%|Q;vo52CZ8~LjGoc7?-;SOj7pE#8j+U$!=eamTV!Znv>)>!W+#ili z&#;0rBx`PpN;)19(i>=~#8RU-qGVAF{w?rn+C}Wxbt1IRu@m5>&0(&*T!y{Jj@Y~G zGeTQKujSS99$!5De6ONa2D%d2ZLI_+c(%we=@-f-A@t6_TcMnlvw)afL2)TjHdL8( z8v44z(fQf2&iR32%yV`g}vra}&%uUE6>scm!;& zbhkQ-A5R)l5B`hTpW7^!7lVG)*Wt=5D-B{DIvY9rc>%aD(_aM{vye*{xg< zX4*MTx6v9)x+Mhyf;3mVgl-Or{Wfg7-|HoqCN=OLI~gz`W4PIp`44b#tdfm7apWNX zkwscA#AEl7w-A?4CmZ6$B3-JDZn<8h@tzas;SNN9Bx;ib!vZOk{5HTK;%9q(QQLE)`#g_Jrz?%K+B}8B#z3Wi{PRk8^ z$uGavF#T*2H?>(4X+e8ck7A1-u__iu-CJ7kWLG&56w|(sw@Y$@Jx-S3*oS|fo`5pS zz)hdeR5KVxd(Wddk|#y97PYJWAz`hgj#(>U1Qjib?&7ylrtK=kO;fUb!Zn(}vm6Dr^PeADd8C6= zmpSjXFpqoq%nlUAbh>L@oHbFB>ToT9NZin6k0={T3=!Fn#Ce4jP?GbAGGHFSvbI`7 zGZ2|#XU}3CZuL9kE?E>r3xBb?t1ah<7Iu~tQ6dtp%j9tGGS^}jJ~ z@f!B4rKXQC^IolPDSGl?M8?@|OA=$qYIWknco1D-iYI1r818VazRjrtI;We3*$+83 zMpylkJgP}QHpxm^cv{nYrB#{3fszaJ;_!IyELzn%CH=J4bY`15!6gqb4er-SQo@u& zskahvkK^tQTdPxVf@`#$L$A`+b|qQ;%sry15nw1mk?pok7Ed2F4o(mCx&j5%`l2QQq z|4aa8I-5cB&8%JA(%Fo!>$lZa$-RP0ppM>C$Ag042_{gz$NM?mhMp<8afYULiG2im z!&X}nR|nE71WSdS4g(!wu*VD29mvkTagHQZqT5j(gdM#5w505VPA);kL}q$)39s=W zGS)I*uJq8(`$W0KjRMP;bC9N1-NeJ&`3$!4h?C`@jvnqpTV|^-UdkxcACqh@9l7f5Zb$I}Lxc*yNL|p3-QUrTi zy^YRM7gbVR_^n&T5aDyedz9z9L3;#F#1d(zE{`iUGPmu!tMaf?4;FVi~zjspAt?Y zncZ_JMcX}eFLPWq!0W@*9>2VV-Ba}xl1_#qHP72p&#jZd913WSF+n!{jmR2V^vIAV z*OdB%02R6&1P=lxQdpxA@KdzNtzN{(KShIF==8XLi`Jk^C~(IXJoor27UKY6KTK|H z%y=vI!anYR=sbS@;u^;1-JkuSKCD-zpCJ0729g4U1}kRXQ{Cc`T1G;W@YDtS43EPh z_=`_Y-+`(`1NBfahF29Bu{pHvV!>y@J`fi1xlv7mFB#9BCIc%$vYjx{&;WN`Sqd{w zd4T#e`J3qQ47RdSuOW+GK(P2+?xxdA1;%~Ksow_%!=7t|XsD@B5!sL6KL%Kcs+s8~ zcz*X!>lLYo@K?GYbi6&p`6oCxl9}WDa3_V(NE7fTeq_(11f?(plYny%eX@n~?Sn^` zFy)l(@mdXDvUd@{D??Z3QGz!ENCr#y(=WsuR89q}nGfFX^PhHOm7m3s@t~Z2=F5;RRd{A^|m?175Lt0Wj=? z1v~n5-WRw{vsr*GSZiZ9G6uW26b&7N9j<+G5_v@WHode%1vQ12=?VtHBwr@Wr5OXY z!oa@DDlROP>d?;ai}O;``$8by8$~XOhePg*PicOA9U+26DcXw;HN7u%kV|M?IQT*h zRCSE=8igz8W@W_SL?+_-4AHK+m0f2yR;s>7iEoC8Ehz|fGMJB z0jsIzJ2Sh2ei{#R4-i)KhI>I5u9?=Y(Gbq4e>h4#j$H8(5?iw{w#z4GPT2w7odD9< z5`7v#wX{+k0-d|Rj^I(3O19!&HDS7YQOKIzu)-aS&J(5185WRgw1xvRf66a)HS+-_lYq z!bYg7eNA5#it*gx!M-$SnqwgeG8zxNbsgjBozNYMeyXP(^=|4Z!P@n0z7yz0nXKfc2TQ@4&uevRq~nlKL640_ zjRp62)uX9M(bzL3tIX7@&}eOVtwz%q+qZivwV_QozXx^heZd*$2@SRi3C}w(?VM6{ zUB1&5u6vR)2E68G1F+jmo-2=Fod}#_)kykF-AJ`ttsV~B^{1;r4cT;CP`8eO2NpLS zhnqV5(^3CwUajrsO=<&Dz4&(V(1tEJ!=R z!}18-Wg*l)F$LyTfaz_)!~p4rXj?9p5n-)Ad7sa2)9P2DH0F@>q?@!#C&h!Pw~=)C z0CF|FwWFc5|L8|>>y3t+1rhTM+Vn{1{9dn8Y1c>5&J{`qPd~Fnc6rG%@|2iGQzs{qdM&r{nqhto}Yj$XxPbh6R z^UbJa4qLMgC%)Di_^Q>&&97kn1>8N7%+IJ(&0d?_dQO7^;Gp<}&qmJOclU46@|U~( zeEWFrcIm+PoP*cCejv;lenFm*(a?R$rQ(zJxF7@%`Sb||g6$7YRQfqDywYf?(P-^7kJ`KaR8lt+JhbM)I#N%q4H3`~E{OTBV9I$}i8gv3tCS zB9giWk7pb+h&}3Yzm|(v-+ue;_aADfth%5o5?o|9IH$i846^S(#Hail^%phXV0uKq z{dJn$P^S@V7j8h0z!Nf0^p9|YNp-?N9q_7|3``fL#^^uyeyezavR0>8ut&D;(-O%0 zh|GXM5S7d0Ks@qI%?X2~B^S^%7JGxVLd4!6NCwaxN@~$Fx=OxHr+#W2vwp#9;l7@Y zItZ!#FTYvV)78j(cCXa6(+?{g}u@kk&WGT_aAxga!Wg+hCwk;W8kHpCQTmms+7?* z1O)+qH=n&%v08|0^{4^es7`=FdIbNBAmRyhH(>qP!fJ*&KEiWuF4uCWtTiriTvXK8 z6G&usY=8lm`7CwjcfOr2X8BDf0Zz5A0!fN=h|cDucA%@9rQ~Ld)WI)Jt}A9t zBOe4g62c*?ppDuj)!Iazumib3&tVr3IjScIqcO$O$0q_^G#W>Iug+fG__3n?Nd%lv zvr~TTBlASa6;{dG3R5lIuYYQY7~VqvjBNjm-f90hSthld4QUx(8ReqbO5i{-9m6Sg zAO42klVa5 zQ^$e?->1RbHj4%v5~*nw3dkSAJA75yb`0>3z}}k>flUDBqk)NT7g_kLqX#aqF`cMt z#bAfj&ueyY+oTCjn9lPnR&TJM_xu#_)iDtk%$Oq*5Ql4#q9XILlyMChj)KOCQwgLuC1Q*zpxi*5b2p#v%@Q>0?nZWyPiNolq6Nf3>BF@tV2ho@`!HNlLeot%;A8?nm*A1e)C{oY_(vhT zkF9eAToCMH?BOj$HmI9J`^=XcHzGOfB3(w~6QuSV_wI+Gm~zG$;^g}2pr_?r@ZUNx zs#cslFFK~A@u;mNrG-<8gPIy$3hr-pHh0FajQWueXB;xcReQ+;zXTpG_3wa zXWiWWd6HOhv>%$tj|iB`nH@rK)~BAqbYNb;v=^~J_GJQ-NwRJUC^2#h; z*WzY9jIPLJlGTdb%EHl9#k##(FR>OMz{@e)Koe@wB&GuJsO}1=ma`5Z%O<)nGc8T% zKGC^jfD=hDDQCv|C>BEv+Ep+w>G~Q0qJuW{G5!AvUm4qK9Iq`7Y5{DyR|T!d-a`Z2^^IP(_=Gfkrx}pAS2g~dOQ3TQI=V54#L)9 zWyN5%F9CzGl-z1$Tt_5Ku|KwHRA#*@nC;|IF~?CH!$Mqg_g}1I!xm%FtRQv(zBk70 z`NZi)nlNUmS>R~N3oscr{3vuO|C7HnfRZtxXr(5LMh{$5kfai?0RnZM7bP5DM8v49 zz6?6S>~G+jSw>4`Z*E~ZAXWORAi*Wb0!-osiV~diSbgeVj4pncBMZ6@ZeSI@!E|lh zTfvu0kVlubf$uM)d^+9MI1yRt!LSX%>5g;O@ZXVFtJjpvgyshOxy;Js!vDnGMkTDm z>fLj})IHpXLHHt(G~@{5KqWW!Sh7ⅅ973=4^aOZAC8zx>3U!Jt}lKX!c@3J{>r+ zPP_SsLRpY`;V2v#sg?wMLE1IT7%4ZaBd{)p(i$1$6QrW@QqwA)uU~Qu!MH%Utg#1) zY)>QBCFW|@fa-6T3>CDF)tVYg(bK!IzQ-pRVYDMBp+`Th@gRPzeyQ?ahfH|9tEDme zo_Erip-6>_=W}JZibE7>StK)E8g1i9nxNWKwl;`1ZJ#_#H;R7sqE${WVP@jpKSTDo zD{ZQ!h^l$=8d2k<$|J+9m)-Be(H+2!VXP) z+5>MzeWE^4)!armFbE-{Kd9Q>bX)KvBkGj(r0RU7-8yjaen zi-h@&;eQ%3fb`HG?*T~dup3!}Oo8>RuUriP4D5{kSj!`e6n0J(5NWYtN9IMLFi6U2 ztCdOrB}`qkVfNW^u@_aY^@Ns(s&JlzXA(~0V|DjhP;@HGb^-c{(-H}Q20^azX7M~j zTwquRrAp&WyHsUAI?gokk(KN>W0l1~^k)2UeBQ$GZZp%Ya|0+sjPc%q3Bins^Yift zhT;EA!DBD=6WM~YUWJ1iSO8)`oxg=kH)w^#s0@sY!za(ckbqM! z)1~Plu^%1Ry21Gc?*6pn&3zJrTzsegZ~xh|{U=YPp&EwRSz^+9MpD5U<(QvAkCQVk z+?5rGKdDzS&(ZTkx+F%uM~;N?lOMLl94E?g0k&-P+0$MrKsLRPdw%>{H&x$fP78k1 ztwL8w_S7Dkm&;Q1QF*1$w~y?F&|3GrjZmppkU;Yz;TS5J>@44wF*t_|r=l7Q{}+x0 zeZ&omGMEFfdVZdGnop~3h7hVH=7D)bS_WhtdrY64bIhCrk0oa}A{*j5hNKU;nrF+~ zh<-9DVY76(jGcO+*%|_4b_JUUQ9}2{S9%vVuVcc^KzSG_mSHUrlSM2gOzgK@?Uzt` zwbC+IUv9CzecRPtgv#Ye47`23ROTDbk*Djyx61*V3vXh%@1q zsblw?6ox0;)u4k^2q`kgS0rN5tP_H_G#s(-rOP^LlE;+GX#BbBR-XV>s0fP$3C1yo6Gl>seM`|B~$6gVlu znE$qF5UEC)u$Irf+(Z@)6)qR|0{ha&Fy1IT`P*mTY3x2lBqlI9+ZFMDcQe zIo(COcw7K(K^#4evtR$jGL%kAs1+5hIlaI|^@1#rHOpZ?SLdFuE}n>#QObFPxl-A1 z=nT(BtG!oyfoW`40e9Y>58(|c35gs2kUXc?0oJ=1;w5S)hh9|s*pjiBdlJrIGC?dU z#V}ei{vZBH+}0MA>fq>(;ErgqEoRH4>`FZ^upPkOWrhtK4cta&ELtXZS0eQI@ZjjM zH(-_XTrDp8eK5z6ojVWx#||GJA0Hg*2T{w5U$1P|8ihPZJ|lq(t3D>pzY|?-vSES_ zcyEqp69GG$mW_$oTvR*XTb(mjgNeKF1&mJMWX2MYDxQKW%P5rhwAx-S_pq`87cW%Ki>>`?INhK>qaiUon9z3unRZla^t;~K#g^*rAQ`- z>u9S--`AlEeXFemj{Rl(yYOuts^B{vA9Gao=91S42a?ZGV0Tk?>LzuI#5&2>n#Bx9 zzlF>c1=%h*Cm6tHcniP>Uzy(M!lt}m@V4SeikJe?j28IY66zzyt*7Se$Ro25o18uA zNZRgA&r5M}B|LhYv5lN>QUZ8H<81bpC@ZEik!Tmv3M#bHcW9wb)nTTd((|$4W5%2u zww+jirMKmfTZ`kbvGo%kCN`@7uaGNsAgOR{Q>ht1XrY$PDb{RFb^J?)!tES(r6ZzSf~{%v z4oH?LtJZw7M4o72p(hfiArelqm@BVutYzpY%hELSqmJIqhQvt?vVXMI4w3`PcSV>X zb=ZT=JvD1P2=)Yr)AJ4)-t{BsxjhuRg?J;QCYhQId+aQM!gfFTG5psd{g?Xg=k@tY z;k4=}Z-I78+a1Tyt;d0s==KH~YOWW8kPA0l+7er-EWWzX-WxSc{%OX2GVYwTU^vJl z1Sr^1A-QKBEtmTjo4Bx`^>SbcxC?w8H*R=lOpDT0o{RjpPK;Hw3dc746^KCqmx zz=75Cfp8Z@Lc>@%odMi~U_0bHd{^1gp$b5%s*^VvAzB=knEULmRFmS`2RYR7K%Cnn z;Q=DNqT0t$^h6(x!l(pjr_e{Kv~+a1?=rq)Dw%d$XciXt9IWqXJOtajh>javX^6H^ z*CFweqt;JDKQJyD-{WQhtnHrteSCgqH?!mOgR>tEY6W=Fe^}Sg>O3|u76hNcLmg20 zvE_8`zWqd)-X^-50n_ms2o?*uW|_)@P4atD)evw`oTCiP{h{AKu)- z*EK!`QPb%{YMa>7Vc`b9TjyqgXVyHlM`@xAQ}FE1!$Yv?pkvSnDLhI1JS++HDD4r8 zcnuJoZKe!>*TfL^#A%Jb1KObP;wF%|ZExSLNDvpNWrzh`mq?`Y;XaVH(tX{(f>X&9 zq(f%SuSNGneS9A`vXp|;X$24~YzCN@|3$aMY{=K_onh5=HS2TAZ*wn4`kWgqCA1m-0S zWX1z?2V^*bZ@gggXhEsRsq4b5XqVVL}3dWTVshIHo<>>5rzUOEc@47ECxI`S1_)lIv+0(9%I z{uQ8B_Z6TS?H>T{ddGb)TGrIF`#exjFo~GEa+Td&QSYUDf#fJ?qAIW?2C1 z8p^;}VHdG(hr|6ZnosAulgoK^Y?*nD?t4mJcK4E1et%H5$! zcQH;4BO+Q)hb&}9vBodI*3rD)8=8P1P;qw^!Rt@IrBF4#|LW`DIn~K2V7lS46|) zTP^{7F?8kk`N}u;;5s~dH9iKH%*m^f2+Xp1c4XdC-2@shbosvx9*HR?-C)aj@6E(787;_T!Poo`iu;Ntb8x{ z*ohhw6VRk{vT$ptrxSG5!)fexEkg6AM2ODcWUQ0`_c%I{Yh@UyH;2uvNU!6Kaeg_6 z(j-&wvDDI2ew>AVg+%$yc19w}4z^8mrogjb=ufOuU1_rFTLL}rwuHDq8hem#X&4X#e{m8~HF*=P@8Da)G;EiyYYx5$^wm!C z*=?QwJdUSPKa10t1cClWW9|exfoje@CZBgW8g+v`l1w+OEM7#z68E0;B<(ge#l{G% z&&hka^b)+I6vr*CM-QB((AkcF+YfPu%y{Fdk4@J+qmJJrpynjJ8?D;T1|||;feyH` zoKkQn26eSNy0$b&o#WkF3J_@NvFn`~0%0ebRc_UYdj-k7=@pQb0RU63A=;s((}COi z#0UhwVW;>jxu4)#@kcri$W2Wyy=72RTk0Z-XZjZ${QuN%!{8@lFR8-H1zGM|P{3Yp zv#AYX^SK4m=9bZ;XI}=m9pcp{8XXKl{h++sYA&Y$n6WZuEb*CBSS%L%|x4S2>}mn;~QNiUEYCh-Z3`sB{>qTaZ1hxH%1OS|y-ckxY+pk4RwE_}SDm+sT5<2UTB<9Ea_Pd9OgCZ>{jYSh~F=R!x0ht%|W#V7b=iM{)GTKI&-Yx}4dJVz3XO)Md%2;KA z?zB}U*$miw)vd}rnx%lV*R$_j6o6Q6y1}iTrQFzA@+6IkU0UM+u;CDM*G-2zoAmTd zPTPt;mio{ON_Wyw^>wV(xzc6lqT!8nkPMV@6YMW`~oP}1vT&na56)@C?#{TI{|Y~0=iCzc9O)U z#0CZ{E+;Uq|63f_Vcs>zn9VOYH{gcK2}?vC-xj9BxjM+#kc>EGPSiy zRSFdvdT2;b)sCv?L-f<=*jzS8IS2^nGdQ)J97X-dCr1Ob@f<{76U22} zssqXN@{6nza%%d|Yvgde#u0J%Z+45o7Lc>U(X0EpEU^TeNEyn|_?@j0W_uYx{U8_4^Y0S7%>?6DVB< z6q1u)ZqsWRE1F=}k%I88#c!kjcZP5MTU_F?ROq4a;7|J~Ib5I-hB^;lkiNU#vo%-V zLqC<;mp^-Wc>M54qm8w=C~ruhMImvbtahP=z6#kB^?Pnr-hy04VC0LH4H5dPWigdY zzoWW`mbD0e?7JTk2-V5k46?WzAQ4eLwvqasg_ua23&wa|CG6W?)#z>Vl?o=mxleB#NjV%}#DvP8|oSxo!wYL$suOUDXhbp7iJt z@nDp>^oJjiW~~IsRg44>9i^qtB>SQZJF!!Sn32I8#sdfIgj>pffes~)WEPhoqD0qF zPn@2qU%nc4322Q`=At(4tJZC(m3TlER$--!5N$cdREAkBv-vE00EtK(LhFF`ZB9OV z%Jc)*Gvaj_(LjKY*%nznKy?PJT^LE_CdsC^?OPR*B;giPrCe|U5!gG?GeCMy)ezAx zbZ(N{qBN5Y*;qlGCc06tH`P8t-xoXee#*%{{RFL`57e4Aw_-w4)|qZF)Ea`n#%o=% zRp0rAy9(IViMAZtPOLHY6HQm_;>rPrQV!%nfvsx4$#l6TW>y(ctS#C{I-kXV<-Y5GGQtt4|o}YnARFL0=!)^hub8 z7jzC6wtNK`=VV`3yIt#YBx;RGQE~4Hs=5RH;^ko$5Ui@vsrM4GIK2k6MPicjP%AVp zS!#<>bFgihy+1oKn`d?G#Lv4h6N}|ISe&voKpf)i6jL1AVDWJG{@H15QINfNcGk71 z)BUrv+M*zIdUoEmsI&dE^FUE||I2&K_iDd#$t)H`SOq`n8D;1cG!0Vo(l3aap89Y` zO^n-tGT$R;ddy2gMr=X8cq!G{DMWh1qlMVn1~QSE>=!zt;(>_w$CyGAFX11iLZ+PLFfk~5fd#tU3%BHjPqQlo z?A1s9w3A$)%peh@5>;!`L^T{uzHX>GggpQNup^Ar!PHq}D1b!hCPC~pxlV?-PQ4gF z1mdy1HeDHzM;_OwbxT$!U3P6R!W~kiuRS%1Fa$v@#Sm>AR1&r9ZXG465-s1t#464%Se1Wx%)D3Vd3zIlCsI@7n!Svv1UYT|8>1XEi5|NA0JLcz2gh zz#oOnlk;VQUa12(q%Dk5GkQ2WJUBi*7@JVh2%l5G9BOXBy$EmM0{rAO-sLp2z$Avg zgA_Pul;F>8#y|hXmYg&`zlNDj>k?}`PgRIh$&~A44S-JNbi2mxRA!E9c@_iv-S}YW z=ML=V&b3}#no?x8H*J5=jb+G&#vf#f4TP*gTSb$iK6i>F{xqL(GHlW1oS|Y%fJP15d(neT=W%z|P+5dF=w0^Ep|6YTp)WIYBgwE5^<=TV z%ImJRr$Q1 z(vGbey?p8*?K<@jtg6fLL63`JbhKHZlkfjP6ZNYM2K($`G^}BAEh-g0O=h3GiXLwf zb#t3vUe*e;ya5YQrIIpmkn*^RY@#`DH`=h~PPHl|OVtdz^PAZdG^m(Y2^33!eQlo{pvZSUAS#8Xxo3^KZWV!cPtJONYi5<`6?~wE;v1 z#Gp#V1&;^S{EL>yR0qL>fuvDBG&BJ%G>ouA(?<7g+UU)iHeHY!Jd_08ZF=d21@G`Z zY1Y;vJgmr)YRN{iY`+0Rer)u{4KO9OHGs8z5UJ+7nzcyCe<_AFm7{|%=z z!;hgeku(EibPh`6=chygJqXb}lW230t~f39-b~Kmnq-$rk|_(Ln1Mw%I(4d%JkQM) z@twh%f|Sn9#nFxRrPa_ke{HFo5k6>sWThS>a9a7Wtt`$q$g2~Se4;WQOiz+ck*l&^ zs26~hc$OEUA3Jz(fz5Y#GCnVCDyCF?T%D@Q^}rokT2d| zD+@0*eVQXxJF31n88&|2y$M?wqt12HyQP~ih*5X-=@U4V!m3@ym&xX~cTb7;KuuaW zvOc-~?tkpI#MV&nKM8nYpFN9=$ew;zWG;%%Ixe8~i)8qH1rv*sgKE zO{YM%Vf>;(^p2NI$NBSfD*G4F&+%7e(C2@dFBOf302n?$Yg$4PX%Z&N_p4NgWT2cX zRi#KJ0AE*C$BEOZHlecs^pV5y)J}o;M|fePAM!Wn0Fy8yShM7EuUBBcZ3q~*c zxRz;|Y*%W8ogDXk(yTD8Wq4aSgmHRE8^eE&eg}+#1?bL%6ah!dIPVg5wVIb}?Pv0% zF?5}s3(uZCc=F`Ici)*NqKWlDnOG0Nz#F*etF$b)RqPeEMZ?XEte9`+%=4UR$V*DM zSc5Z5nWf8HwLtPSI`sn8!#bea;J&sKg!V0C?@5@W5dsFbWF6zGIr~-ajQY=>J-oQE z?vuN}_1-Sj!!=yi9q|uO!@i?8j7GT3)%8wX4+x=w1-zdclxG0>py6euhEN+~Yt2{f z%=z9&J?!%YkaHwwV5Am6WdRwEiO+g?R^hWI-D)+mh&&p+A`UO{LG;`smNu}a3bk|v zHBq?(hQQzPK~n_O$lR)(_W|s{4B#+nMMvlZXle&I~yUA+3DVw#!JM)*A&4~7^(Q*k;}KbGC75!$rdKH`Q2xsuseg7Fp*4Iz z=CTQ~Q^wV8koQJ={6_~URbea_hl{f2^n7~KWhn0gL}=&sF_(XJZ|6|?WMR2&BEzoZ z@_7T&o{q|4W*Jp0<~})uFtqB~Sf?0q8l9hDio)H0N8prhh~h@>2JBh2WD)2+%d`DQ z7mq*t%u-{SevPM7Dr1>!P*bmKWVKGD-Jh-+3xa!ux@U`-FIML|-E2U0c$TWg7#@Jh zP1R_VxqG&YIVNLt)(iN1pANlT57Z{INei++Us7fUiLPlSZ_7;$_Y3I>4q#~4sl_1S zIRW6+vjogRG}^JDwYv6J^XPDR0NAuCo1Y&=V~U#&+7Z}XD{a2>B9$(j0^a~GR>DQx zR}S)`CYTxo*EK)Spt@{x8N<>XjRInj%u|gT!pdRNA+cdoiHWm~z&}^ulGO1npsl;V{9YGOU9DgIGMN-a@nh(Oz-G~mLKa__2UkT0 z$EHr}dPf@UMp-Q+7X_tJb@%ptM%=QU;BX*`r!^spu2xoT$Db+0D)u)L zgENA59RkL8G{z0-Pru)tub#Hu<*H7x+lx7O)J(%3F#{#O&LI^my3QdD0PPmQoMh<= zyLy#hr-@;1SgxAS<*S@LtSN3tt-VZyQz&GDLTnBBVwQ4W=ZxLJvXP{QH;4p8_$YH`!>|HwFcy*ut3#DB zFq&-BouFoJ}&qA&z`eUjOE#0?>4+|GsP(mKin|*`ndDn(g1@DZ7aU- zn9oKy&+5OBE5p!pLXXbtjTs9GTwi=QtUZ79en+L}E}^D&(EmdVW5itr29wh(oFA{eVew^>;&Ai=wD?Nczefi{etl7iXE`0Tu*`xxeeSJE32mzLLmFhnoxIq)#G z5vxgfbb4@lC|*w~Y%cUS zyY#$yBhlfW$YU)SbdFa)W&+0LaY(MG{-q4vXu*AFZpF)U;iSLCRy;%mGx~NdlZFgK6MMfL!8OaG!^nXVBoUz@sea9JFAd+k!_j@-;b^ya*rnB` zVaNAr*zs-+Yv{UPj)OmqP5Vyn)4r3p*1k%gnueX;r(vgWr(vcMXZLBu*{|&DjfVGV z-)Q*G+t+E%jz;%s{OC>Aoeqt<&tf=wqs6dhc~-ZWHQtpMhZFVuy%t?eDGS~lQ6MRk zCik=`(D%B82w5St7Rmyqm>XjpnjB6d02nL+V}Ng%$J#lBc=w;64~-p2)+1x#Z!|tU zfSoJO3^JK+W~+suLqLPvPsJ948{p#THM`zK_3jtgvq*tveWURi=^LrhduYIQz6}x_ z3HCP0hi#>yFe*VZ#t1@W(C43Fdy#$&5G|z)V?;ys zW~IR6hF^#5gx0zMw9;M^+$9L?t2CPGH=|%#b538mZ5?!>g zvixhiV5quN2sgp2)bV#(fcOCC-KtK)#Vap5$g_*PgG8lM;1#5pjWs*W93q6CM~2Wd z5YE!dm(?6NxB+HHvP>8mr8!hw#WyZr+En$0T4zAe1bOSMy*PqG^FlKAP77eL=L7?% z4xr-Q)Tz7bAKeOqM7|9*z}z-zKJd%G@bldy$<-b{vB%jcv@RBqi)hz>6~)UKT+dAN;k?B*s|s7ld=|K&mDo~)L)hOF zJXNLOqNAmJljm2o&#IgE0(29BUBow609Wb5X?d(220P_+#hVbSr#tfNa>Hgj z4Ggch5lkarkGx@R{dtUj0h^=c%t=84VJOmULbU6ua+xdW$_!#aWkQhPjq3t(s{N|xmwoG;8tPmHkagr<@zoYbzD}R zHc>`h?|y6-n%bg{W5bn)z5AQ!v1XILF&SQ({@rC$LM)n2k^0O>*3Q7yE7J9a1&h2| z^v%1R@$?ZZ;4t6uG-M?cjVwx6QTyYFcax#Xs9qQOY&+%9H+`5#@RfhLt&z1szF9n_ z+b5B{Ab?(%=;R;mkP;E#Z>ynAZAqIodhOyq7{*vjH7U|KvE9aaP+#A{?XS#qz|?*I zb&{pv)Ba2?Et*-zpVgLe+$sv@g<&exng{kBsvYeyV3LTsmcTZ~Ubz84z&O)X3`kSp zxR*TEa?gfDn%+H2wktUkC;}#|nV%W6`@>Mr%a(P%VO>!MoPQuP5gIxmK1sgp=nNS~`|2Fy=U zv&czV$Ei+5(bRWg(Lz%eix#R$yMjC~kT(+wjvIgxK2VFne4$JVBY|#wFmQWWPc)#_ zZIMnv_vUr14(AZutWxlqR?(NPXo(X1+-S*YYBFV*9G}s?vjLmyWEdq|qiL(PNvdnM zsgAX6X|n`^`)jLcA_H}Q`GaoB>1a_vhC2HNe$_`+1D5wrWb)WGs3oIM`6L(hPxKKj ziKmN!Pe2cDe_gW9cEB4CA~z@s307*#xTI`hi`DbKHWft2|ewt4K>jRM#G-+)m1Akxnql3_xB3H3|((Fobr{m5B#q zB;13iYsQNyQ7w%JiRx2kzcHUp+@YRT)|{p;@Y{FtM(sO!>+PGX@v4T+k31q=zFhEN z3$zKfXbT}N&fHYwfo){Njru==0r-zs{5x|)T~EcThIpo5{Og1;AE4t!O~yW zk-uYJmCYHCGfItsQ{Dp%OjBTKxC5S$t|VsMIAfy-w8;|c8WuHLF2jMXO7Icj*LniyPi=-j66I$ zmpjL%8~hd>7Vr$!2ccJP44M)RAmcc>p@ecKmml~d zc=ogEdwHP1mZZwQ0Gjf$E}OlT%Kq*I4@4jnl$P}eY5qMNvm*WL2FnJOS2egM$d{xY zkwlne4~C=}h#I)18qdpR+zTpQOzXG|x#5-OO{Kb9@bF!;(PDuusm0Fw@>y4tL1~8w z*xe8vuW&~7;`taHXYlID`E`B^n-zFuHi#@j%LStbo^ldIdgt-lr90Ff8%<+xM@g9e zvg)Aeee|q%q2_uW@{xe!w?lyEv z^o^w8dIyQ9y%ZWE|8*0K0A>8SF8!&4b8WOM92~gck zlaMNrdLNM8sXlFgY$)MUEvVad_2H+FP$8)CL0mj;gU^16KQ%mV2S~t#laGlopYV{o zCfgt5$iVqjcg#oc;jkiy=H_1|S(eOp{tCZKk9B+n zUCF&(f~#tZosHkGX8Qz>248;NDNO1`VcSnE%}zi4yjrp$OhGY3m=0Ug@|hOt+6k-C z{TS}bG19ey%mY#otHl{(Ra=X^b1y!fgCu<+hRjYH5E*T zr8;=ij{hiH#%gW$p%L+QoT?vEDd>rZaorA+j4Li0t5z*6a_uSoEMt)-fj1{*8^|^R zsrMwvrLRWKKTlq(6xO7vvHx-X$_qRZ(k~*q>j#oaC<#}}kK|d>28V3lP9Y00FS0bY z>b}ZQhB0N~N)^`y2Y2Wg3K5hgvx4%2gO+SFSfg*rNL!{P8IG5vWV0ZCUgcBZh@Tp= zJ2=#__KKTFR|x!y6NfiV6Oni>0rq%)5$p3fJfh%Nyq#~=t>a?=Bp;1~oOA}lqWOx% z04$Py^RvgkuYWQW`(|~q%$NEK%36DJ3EX2+g3^OeAx&FN?eX#wj^0108`Q~j19azu zXqzD#jXCiCD%#V4t*g4k;A&v$0nMD9l~0;7;cB7c>O9R*@grCjhQk2V?)jThP@#f~ z_f7NSVbuGE7_e?qwaE59r$2%Sx2o8*FRIc45W7*Y2hO*{Amr_Nd;BMeR&%zgUl8&v zfrZR*pjLbi&*>QZh{iw`iDz2oyYHL*>fqvl_1vt7RuqRJyd<9&@p{3KtFGLLqw|w< z^9HEzbxUD}OOq@ks>y(k`n-jDP=Af%qXXtT8=ar-SjlPEN{-GBj&vnwJ63Ym`Atp_ zESbP?mrCINu9b|jyY9*gm1bo>xk0K%wG(Ya z4g=o)Mt{RaMlQ<-`p`S)0WtLm#Hr=HPP&dFZ zRky&4-sB7<_a%v5Xl!;_)h43%FG_Ur8mXwn)&_@P)FOhKGA&(11F@TS(J_40s%VjuH(L1|Q zYcG#&)l<|zUZh!&nzWLhI0ZssH9HVKBmnJ^O)U9_vq^w}UT2h4iuI524neE>2awm> z^UopXjzB&P?i+Xi+k3U%Cd<;@MkOuXF$@U6QfQH~TZFk|Szx3|NhdJ{)x!_I`1le340|x` zL=+gt(=A(yWH(h(WpoG`=+M(Cb!uF|p6gT=dKw3)zFB?l&wdN>))^V5!nUqPigiGf z2nL?2Z?u3Szsd73{B7%`4$y#xiEiBzlQdVx7FvkYFcg~FWvk{e{*Hb?1!fAfYrU1J&4IQ0ssTL zj`2|wVAnHSI*W;PYmu(Czl!&v7{kQ@e0yb#^)A&H%x245Bvd5rb@(SVNBR%#hpVV^ zIH^J$;)b_=;Q8Fm$BI-(=6IxBqO+(!el-L^S+y_~S9TXv1aZ>KGFHIdC9 z9HlhY)nf8qqevpNJ+%VvJNxqu%fkp+9?oi+to+QL3a6$X8@7!442E&<+(x+d$9%yiFBYr8$JBDG5<5omBp2{rwnsH zH1S~lPWt_JI66K@(8>(R`te_*E9Wihv?fER!!p@~V;0dTF+7r3pJrP69>?AzWlDUk zhJX>N8tlfT1?*Ud%#w9T%L?QUfCFJ4TZYyWEcqzt!*`xWeK3^ff*i;S% z)cfzZDusG*9XZ(j5yQ*ZK~_qeGBRw=`!+^e z3+X_E;QienzTcei+7xvSuoFSLB^eV=!lq2k1p8^8S)jX#O5T&1h=50fw*~f8qd-8I zcHkVULwMpU0S1R#vIcj?X;C)^Z2^@`S||EYnT!=3N)tR9ou8Zt2`w8=q{m~eafES1 zxC0ToQ;dJk{AwGj{2|UvU3dTcdv79q>3~%lxz{x5nv+r47Y_}*8j*dizPeu(VVcW# zL?t1mtD!bCRB42C^#cCWcw3UJI#j8KBMN)DGP!Dr$N-EDJ9Lt%k%zYNB3@pWi}-SL zPqMUHVaR{wx6wI>(p&}{%1T{cK#NpW4A7s`HY=KX=O@RA%0D%H9LNlis?%KwB}dxx z{V2<}a&Z**1v0jEYABsSDIpnXwn%P_lYA_Vdz~-DYX>bxN!->py5-$9%WHzhbZ!ee ztU|}j<~>h9YYLkvwPxtXzU**-!{ zl}0r~(!J-Yu9>I{-}c?rl}*Wi=zJZltv~hOmAZf0(yT#4yKp(WEUYu|GEuV~AwyJW z75+b6q{~?Wn_*sLSl10`b+^@$t_pJYTtde7Dlb%Rwi=m6b4e-PX2{~Jh*39agLo~| zOK{7gHIz-6A`0gnzl?u_+OeotjS)a3j8XtX(o*6Q6|4%p4Q1!5@b0cfUnaX1&i4n4 zzx(&`=xgvum2@@_pJd>`u__I}6oY}K)fLawcm$Xhg#*@cmMkk;w)A*ux3bVv6JHW%udst{VehL>9{$Dk! zFH`KQmY+?X{K$ODHKg>kx1->)_F+Mc3ci?Xac|IB8PiL>^p3mApp*K_zC7lU4)%1> zxQJ}G-{Thrt*HI?-m-vuz&ubI@paUHm4uMPN}=gd?7!$`JMVdRpocz31`r7 z2uGUXiJ4D}JYTBwAtmC7^gp@FfVVTuS^riWM{efanA+ks8LY$`uXgn-Jm+QgVlE^k{HQmwmN&$ zOAzN6l%4y?%1fTUAkd)VjIjF~b3_)%G2^g(>WvDoIe_kce-Bt~mJxeRwa@mMehu5cu^q+CEp|T9lTlL^xeu~pfVPv!&F~WfX&T=;4-d2NK>9L&F#9E62x{s3ea5k{ zQrud0_@sj2y8HKBEhi>{q=ITPKg^g;OjvFC}1?JuBNTzSqDLa)t!7ETV5f}q9Wp_s>b!j^esk5^A zC?Ca&Qe7u9Wyd;Pxx!W>$~iT!8!~xxsNQ7Hp)e3v+*(b2x=)A19=PRaIs1cOIxk%bXYT_bWFf$t%qq{A zae)Y0nRaCJr|{WeveD#%R9WS~RJVr}9Ug+ZX#;ozx?hO`~J_QbSl zK)~qhocwiKu(T7y(|_iRe7$s3y>eYE z36IXt&wEuc@~0vJrUHfFmvUkU2!4zHE*&R&?tT1%W*Q6=1v)^6BLpWL z^=z8LH2`#zYMPyh6XQ{s?nBeQQ_iqj%co_5;hJu+-F{&!;l^YlZ9#Npc{52;`b3pzk}243=;)UdQRozw#vtES~+mf zj8FC?e>2y8)K>S=o4X_sKzV9RnD_^K{0t{vW!G(k$U^k_ttyucb@h8z0 zt#&ZB@j>Kalklobu4kI8_2GgrAy{*+A;QR3GPkS?Ns5dA(izg0;kTGMrID8qGKMMJ zgL{Aw+Be8X;K>erM{MGCz!v-gO#{%kE%4o4EU<&gqQRtp3v!6b2OrI2^|_+Qi$WR2 zDZq_h7%lU3cgxJ05hgxDallw2|%9)e7B1F^dl|vARf~KQG`nV%TZGvC- ztQR1)tRb@$odp#p@kYmOYc(Zs>!ijupXToVhYG`nV`=*)SNM3phbuQ4dR8`R*CRae zu3*%!(-Gb!-C)iQwVhr0JQK#PM74Hj+|V9nSwVn>gJh4*sjiikqvJ8%MlT#UmJd1o zq;lGpx-3Eq56eV7JcnyTZ(TIrjcZ(-pfM2FM9s0=X<46>y^a^T40iT(JswAWh%K4( zux0DGM__bT6|NfT^C&*n#JU((k2Ul`*NH<8TASI7fI0g4Ug`fo#95+t*?cuoC$WA6 z`~0AVH_~J66D*Q4hmSm~P1BKmuin~pua_W(NhF%QJc3}cGBx6@dY{W8ruVt~hfPkX zJvKS)bsU3{s+Z(`{N(AQ=#y=cuVd}{WR!Q6l6gKyaLrt;dvnZR)m9!R=r5BB_Z_0B(+6Jd65YT^KrkNmtB|=!}hCzes?5eBdQhs2u_PkOq~FFMRg!aF>Q0zO#m$ z@6sdZ@32SCcj=Myci1DN;VxZ*cfXUS-2I=LfvDz0fl@h6U{!k6$ugkWJ|0b(j7fTR z$z*}6LBxyJ;wb?EpCm;P2-OCoq7OH=bVKiL+JRZP!q*OnOq8Vo(qogz8vuT~GsQpgTG zeczWIxCHFnA`~|+@*7_#G-!T#o+^ktlobv`jas0ejXw!7B*AzAyoUWovoux~9@(>y zdTM9E>oQlUQy~{2{Kjl7QS$KEEODTdq%M(?2*tP?PWj>&7HTMj=uS(+Xgv^oI)_GdB= zJm11?{u4=R{!h5ym7)rcWV{!Zs3Dy1+|h(yxqmkYp5LjH1JCc!#s1TGf1k50J`X7I zSfR~|C{G-P6eiqV(S;m4goLr+wrbjQ97iT=?y&u+wR$9CxWdsJ65Zh?&5{(gvlHDm z&~f=Ot4S1J&t>9_xs*aY&i(*NZ{~vS zMr3AV>+8s{JL=3EM%rd|cSB$?Zt*eIYP$zewtSB1-$XwpX4$3s2OJv)6=%|yxtfN` z41F0RZA(w%YJGB9TAmDkUt1Yqu^M4U!Z*m&DAvVS2I-GPcGGTA_3k@i}HxVq>NB^~-)JFk$Wc7}51qbJS?{salU+(_Y`;wPh zvu1gbd;)_Dmg)dQHI+O%bQgtBjY?oZFp6T$hL4&)A_vAQ)YPMs2$2_~uH4knI0uJ% z6=$VJc40uUtT2#=S*isZz;b&?EP%b*gaq)`LWKV7R3-G&dhqm{XpH5nQwKdTn^%p5|Hp}WJlS2k^hhJ{&dz%6X0OLkWX(4-`Koxl%Crj#U8%!J z4uO|FjA(D?@p3o#U6r87G&-X?1IsUq*(UF}&FTPNlyk@g@w zURPZU{Br(4vSuuUc(S3?Nk=6opq%lM0l6tHfeof2yG#E8rt4KaoJWL1u`xzx}%HQ zW2csK+=#|&bLrr~OJ=*2fA{x)(9r<3!c=Gb!}CrWl5IArG(>%!+Bn;S()`ZpVy1-0 zagi_8M2>!@c54XgC&8>%Axw+&gJS6W)?dhgs~TZ$v+kEQiDaHYclfc2gn~>QJL!d4 zom+CnOc`IRgXU`xrjxml9l54M$_vfsv7OUyVH|w3|M~tGUseXe=n(l};J=0@{YDz+ z8%NW;dj67U6dwD=Ezv9?@y}Kk;k@d=b7QlXzt~Qd)BWLD^nyi%I96MoIRUTVD$dkl zwy2dCSS0a`)OjjQSNNzzf65g=x2aPjra<{=)AK8h;C)rYJ~;OW`+}Y{2{=1dd!^1m zD~PBEF$&0>c`F#8JfN%jD5{w9-mhLRQZPlJWAny#kV6HxfB6XVed@Qr|3|p{uSsbF zO%n^0t2rPDIx@S4`z|`>KM}}3UApF3zE|neKcQoBobBe2y?xOv^XsM-Yrm04`u5Zx zh=%peEiSqO_hdG@)>yS7q-e@f)XC_1^)421mgO2b7S#29(vA4d z^{V+ec*DUbxc8v&uPEplFW0IeOwH7Rl8;BFEwEWN_>)qt-`G)hyZGut-`uVQ{14Hx zTA@X?Ybuia3paA#ky6rh4|61eUagr~m%_J@*1S%#o@;wrPp>HTI)&kq2E-oMz^Umy zm%^vEK}<2!;r?UG>>Vs^G~B7U(Xgew@ovo<*SF8opZiWt+f|VMqb5le$-dn{uF)*1 z>*G?GCcIG~_GtVvybmaYxik#0(k}5>xm$gFhFu`|_J+GfZ!Y)f0!u#{?gIP! zuc-?R^Q(OQ|ChbDi;*PT)`OUti(iniWGo8$QB-Y>Fd+i-NezLpgdSr2BpXtho*n7v0{j>I3-}*kV+~)aq$zT|9PPie) z-GJsV=8*Cbt;(DEKv6Mw*nb1p%dyRVe88D-nZ$hXgZWXP7CL`xMyeJxrbI z-nkrbE>r%hN@tWS)VQVXJSQ@Ey4!jVC;DtMnf%0rzv-F#=H?0JEuEaR0Mbnv>MJ$G zJL)2>FO$8IU(U#7Xipv_e|jk_V6GCGl=T>od0cOe<4IhhD7&q zrC`oC#k})HOL6*0B-9V;NYr(qprmIu~ zJWbIq(Wv#j7*aQ=BsLf0cWK*nctG*%J=heh@)d1KkLaIt&~p_r9xyzw2Tad_T3{fx zH#s`EL^?{QwPVU*i^)ahz~mIc;RneX{%36nth)ARxrW{rnj)_UXowU93&0T zTbmR4g^$m1hj`TtEw{#UG_r%&_?_u#ag&g9oq^!(L-21m6pI^S;HX&fn|bEdp*!k@ zu;0zFP9CA|$;0EPdU$X6%3850bCB72hUb)6?I=$2I@L+uJ}tA)Ezo$sEduEvYb{Ngm=LINv!Q zwWD_Uc9N9{t1-8B*5JW)IDx^YFtc+qqHIF~x4G!a#Xvo6Z!WiWwn#&Hxfc9g;!Zr z_M2P~W1}HxGIF?CHcilE4$7G#Vl8_uOQ$nVPqp@~zczk0%(n2{<|psIK7)8@(S4jv zD}r83&OCxA>ywSi*h$h>FoqlKZJY2UYlXwJa$D>tFJQP`Ccg(mA&p@*G_{!@D7-0K zxVrI3QeS$RmZ3Mqao1W_ri007+$uJ%eF?iY!)+K(a|m9Jjx?=(VfC5eZM z;1*7OUt!Wx@)%aw-`8nZw4MF;o*Uzf7UxAF+z``kos%t)R|x5=$*f4L1xg$v=f*75 zcHsLw_&~sfPD?%C*1Mz3SVAn_q{;mR-lC*q;HQtie3a}Ri=rDZL!Ul=^m(#(;(p^A zC|26)n!b-agu$rhuaF7n<#akySpfX5dn|PepJoLXh&qZ&S6sqwwzynxH*IH4{Wz8W z6On=mJocgw10TWbJHu6!fEe2q?RQtTSP!n_kY;7 z(}qZRMK!-d&U5=BM%>q-8I8;h{pixp0v)e*&p^hhB;>i+TdpttoLYA%q^>jhl7Sxr zA4a(rlc}i_X#IuxlTSXN%uF|lKR7(QcXW6Ub~6>3IWk3_xkB+KQz{OEzw<8ZXUFN4 z0#YF7zv|00i3)PZ(vnSqY2FMU?;`%EHT7EL|CC&x!GhpVLqq^2UfFea8XO&l1>p}-ctV^LI*rJY3V=iuS4Bm{kE_4hokID5d?_#(Sj)(Y(h;VN#4vefg`2Z>?>r- zTh12D9P}(JP{C=HC68g*zREVqFR9S6k8l_W;FUCrL5YJF^U$X~ITQh2o23mmLUojOtD*d=S7mvjWMqG3B^V!p7l}t(<81HaRI450j^5n>Jqb`2(Zwx zUrO(E*T@glBf39aUU^qTW0SOFM?IBO<5#4V0o$TI8F&qVyD9Eht`6iLYScd5fZLKI zwaDhAy)>)vA8x?mU%apUW;E_;4=T~oX;w_9rAqfwJDzp;sNZ6bMyWxSLrCa6s{Y*& zhT6{<9;Ym5@+6q~zd;>bb{Lv6TIxSp-*hLCy#LhK6 z%TW^zIx_i+OW_i;DV?BghS;ETxp!ysv7w9u4*YLxGD)R4gcs6z7t?uGrOW4XmT*Ib z${=a!5ufSuj5VkjnMOwmB#FJDQ|)AaV4({TAKb^&g1hE6nR0h+deG zdY|q7L6^Bc-XD-$CySICUh1MPHs~@|BNx8eO(S2d%G#tY`cFl^gyx%`jQ+vy$oT20 z4Z7XOQRAI?2E#Gr(+m&Haia`y0voYSi*TDbnt)BefNutepA%+s_~X6$i9QfRBW)~e zE*__jc29j(fDFg{4E<0zMOT`|_i6X%R4-%mZz3mKX3wdUEGHZjaV4-13ZEYdM|M`s z2g?__gNa#ywAkewjN-f?kb;9~yTDnoU9NJQ2C#RP!RK>w!sBil2{V5XE+jEa0~oq6 z^qOI)s*%Xs$kXi#@*tju@>gkG%p&8$V&&K%p%%@_rROPI9v^Nl(J64WA`QKxi1D?)z*0(J+%3h9-?0VKRU- z%I0r-_ov>A<%g?l)SBXgTO{M8 zI7JW7vO`YEVvkX%QSGUYSb>wp?Q%u!>SLvp8(S0QO+mo|m{&fDzIP&Rp^Hh8)fKrz z*QmY#b8au+q-O6+eP{bT$2kGZ^sT|Yjmrmymb~1~7g?>c)saCN`ywkc&g8Ug zy|7QOG8Ld9f2Ch(_9~n4b}n^(IG|2qgx%aK*&!Ne=+p5l^UhlW?Z+qN#b}5~h5K!! zOqRb#e;ZhSBCmJ%r#Xg-E0ipy>8lb!WiwCB9fe(R?U5UeAJ&ZG^?KBBHz>gwekkH1 zLC;tbk%8pj;Y-!*Omhubf(bQ+fl-6`FeTp^m^?h%uf=v-p#lQ_HMX?dw@7g~Z`R|k zxw_I>K3DnTL#w$i@p~WOll4`)WgLND+pqDKgXiW3U1hc@aX#!^>nz_?vfBA|$pu%3 z`2mJNVPKU*D!KcAIsp0sAzbgib~fG_ozF`O4YS5-47NH+Hvg7-|e5?lBRF{=v~ihbt_YkRPJ!<2SMb2Yjm2lcNcKuDgHwcXosE z?~W1e83OyV%!pSL7C<~%G>JVYyMX)mt-?uh+mOjMS#B*`)FLaZ1oP+SjCJ;(~^s`VnPR`7+g?{$_*M|wbi zFgxL6W*AnScrP8z0O+sSW(0KA%QfCd8?U^=<^OE71GncsAxQT{hfHsv z?1^eneYOn9B2ST8FtzytU_M{wMLN$4_-~4Trpey%gY&cTXa@|kI=Hqb4;-7g$=#oP zx1AULqLTq#C5-yXZCweYJ}!@q%xHeLcaCkxh3}X<+TGOGNG0tq@HH|^y9?|~H0@0* z-KoO6-@ezb7nAOy786Lr3`x_Ff&QqK`mSL{J8>CH?S=`|W?oq2|H0FPC)SfQIzE^j zz`l)X*Em_=6fZoj6H33{!4#4DJ-2&ALdN;GU*P!Vwm@QL*lA46z>s4_9ZCWo zvb%vx4$)2TMdL@sZj=_ZOI^^Roz6l%M}j`AYq1bd>?7XxpxXm>nhv7|8Q!j7Lc^rO zA1cZ;#oF3t{L$fAvS)4FO_M)48axcbBTQ`QxEdAq!#60g$l)2mA~?ndKwnrW}wb_A15M(rWtyh&K= zFt92*Ece-~fFnWu!tqdg^im7>a39SyyF z)|wT?o2IAmc2VW9f)=;J3z%J`Nw%#@N@o-GDFlwuzHsthjN`+Y4nfpH)|w|(x+qs* z=0AZR|JCos**<851;H&-+}B**w{FCmD<_`zFv0bkj`DevNivukG$(L)Rx`9$G}C`7 z(kyNbJ5MZ)15Fk-Szth;;kU{#??qwzeb}c%ZqkpHFhThSBW8}RNTGh7rTekO2Bja( znUqx?7iTtLUCkQy*HaZT*|$SrVLCh4Ne_+|OR zetTw#QXfXl?JR}%{S++36-nKvD>%vAa@^|f_ZkezK}J|QgdOZrwV-j5CC@9cNvkw@ zk|VZ;1cQ%Tfw_{?rFDO7;zNZY1}py4!-VcB{*2#%aY}LBz81GxvzW>G`Q+gIh!xKD zyG0(8dxOW14$hBcO*T2Tz_f4m6J`rUh#v`a<1CEH9GRY$XaE2iXv0P(P-B;mdsn z$3o1~zJh@iEuhXfTU!F|fh^C+et%3#EznPAwHCde+?SK>l;$Hby)IxTW;98dS;ejg zn3zKT2Fh+tpaNJ?xfogv{sY=YVTZb@F0z_L696mx}f{? zZ3g+zX!xv7Wt-^X<@0ozd_4;A5hXZh#jE5Bc>*sL) zSK0L0xU+)OdxvOW=;X=n(jT~RbcP~rM4&6U6osXE5vPMjuxX?MOUDG{ zKk*4hC~zQ@CpHQ4cye%jB8NYQH4bqXG=x6%Ye(hE$ZkRRJeCvZ#o-^e1s!=@G`u(f$K9t}@$dvb~IL3r{c;SotxI_`}p$>(w; z0!yVqf$}t#0;<)>1*1xiNh6t6cSg*gwQ-x6062gDN8Jba54+FngU{5hOd}4f&4Vvs zp6&ihFu#5ex2WW+w76>c@9+MF_n5Ds1wiO8OtKJ35szPd3MVZXm6v&)-9yEdR`0Ex zm!q`z=9*9z_%?ZGsg&i&M4GU3(`x>q&jmym4GOu7Clkf1vuc%miBIi)^d+Zpqk0b- zbo}e%FRf>1G;=gZ{!Iokk5lb1!`C|rv4(CexsPGqnNk{>lwj7CPg=M>mCk|YKxk#n zX$(+B4vJXDd#YvK_v?0c`te&vWsBUzN z^{SQa^Sn*5#4|>EFvE2~4LgHPcu^c5RQx zR zeAy>(!k$3ut4N;X&(Pv0aQ-}ajP~RbbM0Z3oG!Y8!T8?GTV$b?{!z3LP5SrVF}!PpX~kelkWw~aFono z#zkz`P&wnL@40Uk1{g<~jt$X|v#{n(%fcGVx zamu$ow_rc#Mq{Kn|1BmW46E;8JBQJG5EK3R{bRkyW01o#MX;&%O!3yiJWzM+)s5v* z4|-m_6pZoW;o*bhvt*GSp1=Wh88m+l&%iWIw)LFdNzdsAX#THWBy-pgQe3DUO%eOT z>4^FHN6*+H^0~28g;obqNcku0U(&(&LzDE( zr@`mK+-;6mbkm4)kL1=7r99g}ymK1do17$j50RbAxqjeFx$`+(H#yd1?qGL3JT&>+ zyO43cL6^2rb7_~skETnH?@i8=Jp|_JEZXwqE>KL)Ehys_mSG*Foxfkw{=!rpe>Ujt2~?mtd8gG66OH|60m$Fp zWSK>S@LpON?AXxv(=83FvQk#th_UyGVB!3z`8+p9QCTR{=Owuy7I|@%qhAGn*`!l2 zqEhOwRl0_|G4Fn~U6x+@e66fb>j+e-^afTA?euWTqdL7nU$`he;s(OH9MH3dh#l2B zgt68Asu6uA_dt|a=Q1T7CBRta?XI%rwn|k=G&%MdY_E~B^D4dA_;^{x+)h`!VV|&X zUNuHD{urb*r@E?M=LD<2+3t3(dR?;OjiFL&1^Kve$nci50EduiRdB{)dJpYk(yZMI ztn16iHAtzZ66=pd6PDTjGm7R`TLz>~Q&biZM|DwT3)^l@5&oHB}Wty`22ES8+>)4Rc_+%^i`0hC;h)MkMLR9+HZxr-+W3=D>V{ecaW`-i>p)u59qqboBXoa)Yec(WMf>-bol;-8mDJb@G zs+bJ>;2SF~P7+hY^ANcHENbL+`Q=zU(|&K}w)k$FIrLfEz`rV!z4dlAyL_wT*mu2( z%asZv&@+`35REQoOX$vdxv<#qNCsHWM@7=Ay~t9d?j2n zzl6PGCJs<-oYf4OXow*XF*_;d!g5!%^*oKyC7Il- zU^PZG15ESHf$;@PSsqsOOJ=XGg_MLG2j+IaPTWdx)xg{|;=e+y!Hj-dZa0GF!}m4u zcT)`01P6i<;#`%umK(eFsfLJmc8D`Yc8B6}sd_I*o-Jx6W{6?(+tRxwcFs`P+NgKU`-mpKK0 zI1mAcJG?}{1^YzZo%*X&3I=31lf8t#oirvQ-;^SSE*cvGys7OA8jsicMLh7zAi`FQQO+xtu1C_VQQ)ZB~Ur$QQ>re(u`_7X4 z$;<63hlby0gMuN_%tkqGCz~W+50$Vl1rUcLe*41TnsB*KpS|&- zL6(If^kQ!+DtCJhRU-!;CGrZ2?vULMc)SE3F*Q=9l*g|kqdHjUzfM$!s)g!nc=OC- zZ=r#6dmTS*fY+5w#Jv7n9&k7k$Tr`;c| zAojr0jb+CDz!YREm4HB}k!%A6)fWU(OO#;r-6$aPaz~GP3q#|T?d0z!Ck6@Zf%84Y z{yzD)OuG05<7?ymPs&F66ke%Ih?u z_4)R47&@{sZT8!PeOxtp?EMJ?Ia+NRROKm85^}*mgS9=KU2f}av*~BmXk$uBIc=V~ zd2jXb<(hhzF<9|4W(cWybhTic3FUPQ$Y2{eFS51D!*EB<0zpY% zlw0^bljC!9bT_#e3^=mteXRoc}pCm!ig%;;5sJum{>znJm+n(2H=G zqnU+)IS%u}r7&**&y;>R9Y>Ms3Wn-`W`JgVm9!A;Eo>Ormk$O&MZX(jGvzOYUyn{$ zRBgw%5%~dOWqah%P)4>z`)3vBf&QM__hHI*QB!y`Oa!2luss`IWGOl)Fm-C(p|@SN zB#0TGfUlWe6to2_2~B;~@NrxU6@@BSfrIe5mhjonNz_gtRpDo^IaeH4Aog`c`8_(3 zM2+Bw>rSNXp-#i|@?}~PSvghdoJ_K-Pq&*yQ}k&#itPiK_7@q&nlWLAo(WVtFmQn6 zW5ssb=?`P4hWi%spq6Z`ef{Z(*D`eG`HtTBS6;7o^glL>5zf%qi7jN_argvTK%bY@ zX1jpzF0?y&l_pQ~McTKd!X#akq}~GuVJJ3@tCqN{s~DlW2%jiIY9iy#K;@QPK&_#Y0)z^-+b%}4fJO`+u!&JeTPxL}5= zQ0}vFt0p0r3e&i7`8lrpk}2!5WbImk9}H({PUfxEE+f28`HH z5O1CwZ!SlMd{_aFeeyQ!j;eK-3BAv5S4a@{XCllN+jgv@> z>?5lx@CIq8jnC5*#%XK_MjfY5dWS@6@W&L6ldD!q99zCZT|0}HMRFqfG`6-*HQ}F* ztVTF&P(qIi=LV?qrwH55vjS-_H=C_RsBUYUdA%p;)Z=Diz^`7IyZXfL<)I$U`^I4) zi4k3dCjn?hkAzR;1YpC)#GyGcPKMxwhE@NH5j9@!k~+AB5KC2p#1kqEl{2Qy;wNV} zCx@pr2_HvjA)?g1hP^Bp0T<=AIv{vv<9vH~_;76YnRMa81C7B<4V9acJ>h1=I5sj0 z;Em%h)ROZFe331-nEWr3H1I5i-=>9*<@6jOR)*#P^%8!9Wq*|ussdeI=zuooWz#Ed zw1XV&CXG@`5>}Sa;l0UEOsywJljIlhzwlGr7N9q|5doXDVoFRhv8tFlIOY<5*-@stJ+Kxh&fgfPscI=oR@ z!+-KtlmLfOY{aDh2J8K~<$Fj~Z^w!eCN5kbs&Z|T^}pM~S&VufX=pLJ&e^(V6TnJ# z5(b>XIUqNon1Q?=P1DDg!d6b*EX`jvYl6alkbI48`j$MiIAZKCbk<49?S(CFGl-~* z3^pD=FQXkB-Lf*S@2FiupUGU`O1dDNiWBuip_1| zK@a8w^z+dJci6-0U3m`TSD|T_U6#e%raE{?1sEK+&LvvpOszsc+YL-P!feGVv0+)x z5R5#d{IHBEJ}gnX&`}lE9cf)fesOpj^zJoZnqMGr%J_=5X8$pe`}QycMZcs1liX+% zE8r{B#wP*~=zuo-=6Hg)QW8%@`WU}5I;QMJ?MUOCR_VufxD8W$UzeLqn=jU~&eCl% zE#X!1<5lD2^yJ?8PewhqOS1P9G$O9w9VRcYa?;X(ug;M(yh;AQrBDpQhQa31rIy~G zZQt@LE`NTvS82(+_g=-`v-_(IlUdIPN^!h_%=*sh?kXS^qL~e1?(P+tGx%C=`+tnV zeWWHJXOf_@5o6~3A0MK7xxP#umj$#wPsd)jid_ZkTH%w3`k17vd>us~smIVK2e&1A zvviFCnX&ISzVSKR=v)(OnuHYP?Q*k)Uz$XYaoww`*C}s((O^6Go!A=n(@{*?C?Bt%7SFfzdgM|d-f+r~fs{PSvfx^F;z;eP`X%c~zE3b8ff4VM`oVrM< zV2YstUT3imOvVM8I-pRKN#Nn2=$PTxa#?PYHQNi%-HMMBbvr}u8`#Mcya{=i=N>2i zpjH1L5)aH~Q+V81(d1-z8-D1gcqmUenimn|B|mmr&HdClPY2ost$Aki>U3M7(d6e! z*DStbtEW~`5{Aq4BC=5PFnO$|8QV{=>cG}c_2IJqBCDpjw7{@fY_T`t;a`_8uS@iq zdl@v3<`^182PXMn_iJ7>;=~(BuQ9U!AQ%= zcD)s{={@vfkF__M9T+X5$Zm1ZSC>cNL|234amBXqmQ z$`6m&I>y!1#&cEl6NWm*7LX~$a*w|y*4>0S440L1V@B8_n9_GNe?=eg$Ie3XXrX+Y68pRBI zGREYj?XH+Ucl8H(!RAhZb~bJPv9j$sW=}3$`=Ci$bHn`P7E7$0ay!*>tVh%(u?$1hOI}*ohBl)(WEHF6Jpv8IjWIrI*FDkk)p+QkDC$?B|H>)QKkd+f&?@x7F!}2K)8uQqLW~pqFZYH|lcN(7s5dJ`i}nNE zWtqxN4!+|lUu7_hMGTFFK@Fgzt*eUp6Hz_22i!6K`FFMS>f>1K)=MmIKqH$WTxT^96HEh*hF1<4eIiPh?3jb0 z#4vDP{w(!aFa(;3d^$5%cV7i|Jx`a@^~oDHgY6X?nxLJRQoY%b#;f-e2gZMgf_ z-yJ0GJ43b_;;q1ay&wO6cz9@KlH55H{~)7JqD~bYv!^c+_^PT2@E)4d(F?3Zf+@~H zkCUlNZ;Ae+GQ0{*aoFml=gR`TGXW0UC?9qeLUAy3vaO2jR;t2|QdybbZQ;m8l4ciF zTrDvY72wM2dYcW1@*d;jKjuJGRA1X2h|&FR_?=T&QZI?m*xBcnCeWm%HF}I1#r(LA z$N>#M;mlQ^EdOL zL>}Vv*E@VL)0BH-51Hm^8)2&P{bWnqsWk!NDq2Da}aN z;%h{)f$A;8c(!>}6Y^{g0AM0O<5jKnH=U>NJ0GxFDdJ>H{@t2<$pD`a#eOUH-|A(5 z_+A;UB%QBOa+4{Y8Q^GFz9B`8X*Ua%|FO{R2{0RW7+mC8F?Vmy zW83-_Yi_bWIlGY!$N67yTK^n7b98ZkiNC<8K|SmH%Y06S(>1!{evzfvIXfEdf~Cc% z;g(f9#6!7D=xq%UQ4K1?1Y}e2acz0dk>U#PY9;ch(itnq<|1R>q>N_DDKA)IsUG9G zgyxl&ni$-r=M%;^Mbdx^oYOwx6)Q|KH(jny{l5#t8a9c8k>31AI{4e3F{yAKloZUNrc#fCkpNZkp;(OYnvX*g+HJ7nePEV-vIV*sQ z>jHmplf&n|4PX84e|aZ7O6v2Y@|W$T7^Lp^Ru5%=dlIlaE%CH-mkp4d8LBAh^XhlnDFdYZUc)VS^pMl0n_fBj=n8`BB}sV$I`GozkfP_C zb0UDzc(>*PuWZhV{Q}brvmSBW56Uo)@aQ*!&yTA#UnHNPUF?5~4v^s8f5i@Juo=;d z*19>G8$zAserQBA0oEm^;>1^kcBUHXo&o4oil0pmS;WId^lTQoS8O~)cPNpo5IKM& zVK1q_Tjs10@)Unat1J!6Z9VgJrl;1Zl#+3lDr`^5Yk^Jk3M_xsWsWXA$xbk zDd!kdZ=J}BshV!=onf$)W^f>@NUzAOb}!74VP!zT>>YM2*x^%h*5DOerIkx=^S(~4 zh_BXmMyIa|PQs;17;eiVRhdtqK}x*J@HjG@MEe-c0_&FkiIe&ep$|C$l&Ex@=wglb zwlyB}b>(sggbZ zecZSD(Jm>WX&kqzj=G6~vf(<@J}a!E5P-rc(OGZf(C`xpjI)z*+4lB)<%fNHslDUv zP5XX;x4+wecXx6#q@z7JJV`$LO3Zt!F#I8s+9GP{5N<-v>3N1B4L0rG^soXN7{IM3$C6>0ZP zt`&d-svlUMK7N!u-mY7~)r!j}+$blQG;qXBBDA8WV0shis6hTKDjj#?j9TpIQ~P1< zD5vW|op++r5@I}k!Vc!#$f4btOX5I*%@?ei=91MZ39=u>z7zM?n}M}W(+(4(wEB=J zzwZ8t_Xfr19+&Ghc>$mP(>kA{pe+2ft+tD8N~bDwI2|4#ZpYu?m2isd8v2-}34?+k zC=O(?7!`3($;q4Ip#9v)=>m-Nh58hn--DDz20kz?H%M}^s9nh0qJr8nF5kRQ>&Q3n zi*5SIV0CyGi4mAc&=yyU56y2r0*9oNvPFED^FrqjpL}K5e|Kpqw;(lcvPe_Wzv8$~ zu;Xi|N7U9p`7(bWTX^^1ywi*mHhuZq1yV~kqJsm3y6_>wfR-Gt_Si)%9Ny^riik7p z3RjkH-z){w9Q`DFU|WpCRe~@1QJrADc=AM+3m+2%%Z24Kgcal1;walmazsp6Oq+BK zYk7r!(V7x42trV`)9+9q<-W}tiJpV-7VIj%hjL7H{&iG3(M0k7grwfmvC=x1q<9X-1js- zY{dFO^0VaZ1pntS`31b)xqUedf>Fb09aSNnDigL(zNc4UUEo|OfdZ2p)r*-oYtDf- z+m-|C-G(hu7{NuYhVuSg3n)(lTQ$u#H<_FU)#~dO-4-9%rh*w;tL=%-oo0vn%;!$= z;7OL#)%YybXW*P)O&%8NW!0DYWto(>=`u}j$`T0|N?2U3%H#@~x6G4^?aMqTJK)d! z!+bD>{fwP57iQ~HAIfHjRBeAKaxtF1>_Fz-Dm{5 zc7Jd-!o`U;1DGKU`>2d#6*dg`3}+sK=n|JWF!Zar|chnst^U?%EfH{+^)gR8Y z6*M@XPP4gvr&~m7CB=5}I^#e+E?UIje~-k7*|kBG(S(QfSYI$Jm--m+;i0L>Oh|H6 z_8T0H_)Fjt`R}|pEXCRwbzoRsmdosICsKRRsjl4PA(2Toh4)U4#{ga8<1i|z?zc5f z_z8YM3A*VPgbd;>czL>aV9vMg+ne$W3?ba&G+AVeZiatHzS+}v?nvxqB?EUev(2RFSFdo%` zvFuuSq+?T)BWDkf_q}&-HS=ZUD)xQfw1+bHPS3!yKRw6)c}V8{$+*kJZX*j7)B1)a zl$qdHsm&FxXtp8=*4^1x8ygm{q4a)NYSD8W#LiD zK+#ANXnS44$^Mq|k6`iIR-5nnsE+){2|FfqvTjIQ3gYl)Fi^PjN^s` ztDRdbq_Vn~eDo?sAm|5Z93m3!7Pm0iIFa15LK)+-m_v6hM%_GC1KIWm(pW(=H>t1|KxK=YLvXXUe} znQ{p8S1kuJ9iJpGw*|Ue&yRFnncF8&=Jk#1IZ7;98`3Gzp7bvd%hmd-tcp1W02}5@ zH$$K#beO_1W|#ObiXBX$@R;D_Wp7H^4H#x#<+b_jI)UJ; zs_+94*uI*Cc)fd zJz{NTLe1lfd|=Mtuut3;;?RSWK)HYcvZ@qV(fr&&IjwtUU)Esl(UzCgG9fJrmebYI z>G6X@Oqju!U;)d2txMa_&%O_VE3hh_A50F#DCaXfZ9L;~T2^*#-oPekP-W z%#gjC`-PvetB!IOZ=w?LrL{$JPRdq?4-?Y!8%M?aF0&m3`QtEuJi@T(UZ^Z0~#MgIsNm?sWUSJ4FbfeI_4{o?Ks z)R(`U3kZIM%2xJX7$5R_#HL2@FMArcNs&SrCx`4Kw~~_&Rn_doYeamDhEhLart}NlaidCJQEb9qGLwgter% znN%=ayce@geBegaMOzE!d2K8XY6?$5Y^(Z8UL%jt?HFrit;KaWX|z$Ws#IWkR3dw* zN8ShJ%dD-(US_VxPR@FJY?Bqs(jpU9?xZU`OGeI0H^(v? zWJT_l{b8djbv$L>6liqM-M>M0!m34q(odPUr@_iN6l7mYH$Xj7I~l4pdOa*;DrRGFvk5LIvT zY?|z03y#N8?yw&A*`c}X;Yq!tfrTAkhB3+g0naaQN=bL2S_3h#au2np2<)cZ-BE* zf^E+)zc`#E@IS^=&2P!0zySG-Jue%n-xPj8Z*e*ea-Uzun1Hj4y`I>gv)dx42sU)| zMZVYyn9nqf*hoJ45V@i;Pg za6iK7&{WU~HNR=0|1Euz`@|GW|F(!#ZGAMYjEH1`v@MdR8D?q)(2Y=az`SIvn?h+q z3Et0KI6H4&+*3I^Bhqe}A+t2YMqKK6%O|;8d3*npSQZlO-}h;2zfU0}YXab2OC6uJ z0Cmj=IlX^&|NPAG9ocq-JEw45V1!wL_cdH1Bp*=*Ip%Lj0StfE5UHna@F?1#sh1m* zrjK&OIA%4B=;z7kMstzg34dyX<2{%O7OmgPX*yUO|KbA9i9!5rT z3MH__J_~A|hE{}BUOU)S``j(}mH1!rf*Ue<}r+x>=C9J_rJos5WLxTK4OUd_6Q82Pj zk)tfnzQ_Nhi&%Kr{~+};XBhiq38qmnj=lmJFO<3S0&haV6?6B;cHachT!ST z^b*6_w>6&!)3RQcJhh+8_owi#*O!KU6D$YGSdApur{bmO5(1--xa4YB?JxIf zb^isizMwM%{|&=bj-!|5#Z`u3l4-TQy2^UmasjKgS1##P zjS5-6uCQX5qNBwDy!qu8 z_Kc&mH}HNK4`04OdIOx^6#>ddLue9$sNN@~y>gH|LQ{hNa7WW~mGoYyxYX)(y&VJH z9E^axcQju^I{a8@ce?x$8c zNl+BQo`Tdt*#C-+27fJ!f`d4ez828Wm&w;$`nOhS)a|Ot(L+oenxh)=K9;5SW7(nW zEfUs>fGM&CR%{B+7?!CdeLBwm28-j)`sx)ZN6N0EIodL>usPZtaGzZpHsD1H%Fthz zWwokd+&p|ZC%q6{nVOVPjEPV>)x_8|UpfZAHo7RW(TS|d_c!opNAuy<=o@WS?xHd> z+^ga?o#vz%hScRkObq`kiBoo9!~VSD%%>@s-}sj^De<(1INRC~X_q&GZO3+e#B511 z%T)73IoZqpmcd4ROK9w+XfMyw zDT!(P#fPSsWCr_~JnCq?)1;6}oBR~N3;)%L?oSpT&ld`cM)@m%@ zPfp0tX7xfOjDZe0;Zv*0;)6Cl9NhYcKf>0Z4{rVWkFWLTheKO`e)uD7{bX?KCqKg0 z9}RB((T}k8$Aepc{3C4r$>7$X{0LkBU~uan{0LirI=JK~vZ2e?#>nA_L)*lUS{n3xG^~Zx-|D)S$;iQrwv`2*8 z_zx4Vp3t95%F z9zHxcJUTdhnD9UF2TxU2C1lf|O(ipKXA@Y9ZBX7D=^EjrBitK9A>c@pT?0$1tBB zBqsL3v%-e`w^c>XgtgE)IsI?db52NewJ4!t{0Q^BMgVTU+A`tI-5-sFGrJ)n9Wl*a z6@57$FSOVlN&I8| z*^U>Sd}y-~nIKXIpNGGRojBh=(##Zt`Q_ZK9?NF`xKXfzHz}K0{X^!X!Q6AjG8CEexk`w5Y=#C zk|(dz99odWihVoQsf>NxcQorwri#>ROad<3q)$AUJUlyjc*LIE+4}0>`1trtba<@N zCgbYv3zHp;iog4AOw``i*sE@DG8s9@9tzT0eM!bII@utrYtGTVxXk?$!`QP+*sV73 zmPbRh?(Gsv8A&L~&eWft(tXI4x}%uAQ)VZ(a;R+YB;k!z{9vW~0Rs0M14Zo=00{7H z4kh%ZQk*xdT8r1*#XqtGX+Tuo{s{}H8=!ZW!o7>g5MFM-*~f12+?$V0jO7}GB2L9V z&PYMCh3>3Ln&1QT1PtIz3w$(M_nGSlQW{`mBwtJ(@cjNim3t zjL|!^qzw>nwGBvG4sdCbryBO5xoDw&o?saM8oq)91xA{WkkUGmYGVkqDX+M43ktu1ELe=xookH_y8iyx4Rd|=brqcM0^OL*#_%qN6-q$GD2{{0HkIwZ>Q6#iw- zqxjq}LU{%ldH*g!pMAEcC|impzKXItAgBU$S1;?P{&3O+k7v*BKY4Qh5B?x@dQgKO;Qu`2;vX^7 z>;rxsr$%ixs5v=TiieUXM+cYC98)kK_gQ04QSPM6`|Bms0)LdUJS3I2_tBSQj|<*% z(0y=xn5>scW`JL-3}!-g6`Fb*u>Qq_u+5?a9^bC4wDrouHZ5iPldVsVZ$3ppM7Y{+ z)M^P0gP+8YhVQODtoS!=$-nd7?gX6Xz^chNJ7lLcd_G3X8E4{5Z5pUciJWF`sG9}2 zIlzqqm|jLz66LDSW?KR|O2zfgyq+e3I%c-NIj3hQ+l)u`8R5%i(ogk6ccIB%Q?G)t zmbkc&U!UdkS1q*cB-$%CSs1O|SGqvlcYbFD}HfQf1lhha%!g{-0rW_E6K#-+P z)_X|Om+}ZL%|9P@TIxO~@qy&JkNEsDM^G^>*S5SEv7$OfIbs7S>H8G7f-22zf}G;e z^dz0dLXr*}!kNk5P1QonIA&eR@Z)}Rh3?J$WNTQfVS9%IYQ;OdJBulrP*k2l8Q1t~ zjQ#NQ&hwRt7Qisu7OYV#M=e!%9rmSWAj{ItWe}yaW7cm|;@9`ab*J zUwlV%ExzcL8SPxeo^*4Hs82EDwd!FcQRcH&X2l+65I+Xaz9u=g9cT&=`OW6QU=qyv zX)q$eiuCzQoT7fdGL*AaJ>DjUx5q1SZ

$G+Myl}ru~4=o(+tf`CnEUji) zL6|EHusC{%CPeM*9+BK2FKoDO=rkzAb+yRZ{KCPrgly6I#Wf?LUI~8Zifgwf1~!EzvcFtW=#&?q*;^0{$?Rv z>q$qmy1Q*Md877C`rCKL7XRzE@92%%cl73;wU+kP*)o^LamM%sLqS(exbk1`Xj4tj z&n5>F6gTdSZo&tx<^E(B9ru8|i<}LCuzO(J4KvL=(&RXn$(n2*cV{j4YIfVtabnns zV^){S^^JxX6>r(WMhgHPGmo}4#{S0Zvyn#?XL_^CRj@l|Jfkb-d?!ZonBCk)Ms7y) zSH zQYh+^Z<9Syfa_OW>)o0iJ?6=_7MbfkH0A?2%!jl{9&BrnT;74;JaSNKdPRI! zvVoh)tg&l@@qVcxsZVtD_sCnr8DO4uP29J2yw$Tcn5b5S`(ZF!TbEHV&@Rw#%ZNk- zRAM(rbw-OcnHBkZ9bty}Wy`eQgO1{C0GQ5uIG4u_rcB%EBMgHyPS5ho$Y%%}k>Y@M zq#NW#_dGXjvh29oZKjW&^Aw=IG!xv70;D!h);WUKlD%VJiy%6eVr?-@HG8u>7hM2FR!LquEk;^*m0JlNRksv0i(Tu{@LfcnpWSq8cmJv3L zP!b>*+$R$O;$W8ldreeL1gR07Tf_||&~T=?l$3u%8a4Axuw}U^k2>a)NBO1vukctk zyPa|H=GkDNg?mnyhP)SK+L_3`x{Zs{Q9#86Eja%Cd$%htaxh!dq(Xg1BQ#POPC%zE zMn8o#knKwre!OM@ymW?8A@pwtH}j81NwN7zku@GD9F1fXIaH$~DlxeR?lFDEO|zi3 zjRGpj@{rENybHUbbBl*{VpBKKp=^%^Xb9j-)#}bvj+z>(s--IXLMO2SNq(;GnFdN z`RMfQF!@Dt4*#+4{)^120Y0}lXsI*6)NsVAPTW(Z+}$?HxU^*NCl2LWgA~m*%!a|P_OoR2!Q|-P@%h76ra~!h-%u9r zC%VAl1cuy8A%CIkCIfIK?sbbmwvsGUo}Z245oGqqBl|IRvOrmA1lAZytgXMnkKI!C z-$C*RI(75>0dDyZ%;t+mP!zVhU@t5i`<;7~@WTdAB7J=yz7>p;P3&3xz4u{MANC(6 zJz_4QA6aYd*g+c-(YryHuk>lVv7yd3$xpD%uMke})}&yt8~$L%w05pR@U-KG#gFS+ z?9saJ0xISQ(?tqK#3n2cMn9$%?pC6K8Y@ebHr5tEayUxq-k-(N65OyoMgP}js@VPf z)Dl=E*CuGon=c#kLcaZBmCljSHTiIhGF#zWVLty*BKj~P#U-Ml?Sw&LyF$QVTIa4W z)oDLhoZ$AH2~8szW<2-6>qMx#8Zw;v+#LjzH}3QuwqVc*X(=`~>;@JaW8aR3)kNLHd@=;lByj#CuW z>!XQ}imT~;Th6vysF>x7ADmOc&`Y|K4!6``8P#I`YC<7`8E;U94d;bV4QC zI#mKYs#xfgNd&fQbpOm7mIuOCg>BTKDSpa?-$et;){#~R;K1d!HDMBAVOe?C=4~5CuTOe`Fh@I~vLH7PlYf{x&I4%k&iilD~85Y**8nJ0M zN494xIy8Bn&4N@gO65P7NLnblObZ$_(D};rR#q<&k&N>0RyKY2= z=||+>fbQ204FfTUr5f=}HXRie$A4YY#!2Bp6&FX8Y<6GR7SY9}wk%O)J;Z;&MzQ=>!^B$j`yt*J&L@?1;fI2hr- z)qn;EUI4ZuJwHHT<#5Wx)(XSRnEmE`ay;-nMYfqa{qvjmB_#z9WU;v>mGKQR87o>z z`F&NS|C{%hd0ixV{>}TGr{XdYU`Q<0ee1Nwg$`^|xK&~uiy)IkprLSq;J7lk){a0d zSY^L?UsDEP9;7&`_QSZzH}AWa93h`|#@Rt=_~OoI+Jtrvm{ayhW3sRn-hEUDoL^># zlSlVuJ)J6_uC1HgAP7>S9sis6@i%mB$9%n6o=x-eN92559gmrJy%7um%|w)vL* z+jpt2B!?CkSahvByO351gI|>@MzyCUrQsMKncue2*HShlK zcZSjpWZn5Qd@PT3)D0(bqvk=KwI#wwVlOX=o+efzU!k6_&m*G4@{YHyo)M1@pxY^eCb&lv34P`a-)LrH(+8scZG6kB+z5-RXo#Z= z!^CA6QI}^^SnsduHg+S#F`p)T_@9$8do_+7C5?&ISr3Z}Y^{kH3u(0eqj#FY2rq`O z_Da61YY{c7e6fI>RqR`)uu}M5a^EJng@K`pKq@&R)Wwibn}Z$yqK=}6g962jq=ZMY zDET%i5xYa0XXPI)TUe4^$N4uVTS@^3@GhKRFN|o#VwqtKw_V9t;)5#S-C9Lo_`9o;TLQmW zo7VwhtZPWW1)4HJoqM()U?cJxJ?``&>307Ou;0Uq_uR{))5&Y{57_k+7NGkJL*NX74PoXPZ17+r zqAL9-<)&V5tK{Q*kMGf1I}ZR3rw4~;#;?;!tVu*j?)WL~g}%9gJ$avE>{nR^%^QbM z2F-S!1m43QIz0cio=X|*Fwi3)LSeUC(M>)(&5yqPm_;}TOuD7DiuGwYGfp<2ZRaOZQhl6 z7Y>nn?1D&2}f zVEmF56dO=lnWIgou0hFn%>?E1WYm@KjJ?ew%z+{u;sDI_B)oT)JpybB4|D0}67j^=P;cGFi*)4z z7B!!y&}}ulLV=FVsQ_1Axxwr5uYE9j;z*)9`+OfAWYM}6);m!5E<_Emw9S;*loo!? zL6XTK;lSVnUv8^;(RzH*aAh>>>!yZ|(B0KWU|Xl5eUOa48zpz!(=w&lphd@ zV-Jh*LhpW`4cZcEmpvq)xASULAP!;_+A*}7@My0)h0KL?zQi})WR(M*7!?AR&Y{4! zSi844w3qV9w+uPiaN(}q?pk$O=&4Br|B{sfa!ItH?f)&{=3xxUvs+QT!*S0tMQp6l(A{`dsL zFvqP)N3QiUjV7HLDEd1Lk^>j$q{(0B5AkEu@?;N&)SA_Ys2(_{;b7( z?MnypMsC+=?M{h#(*&62^TEh_vcsrDT!u6qj0UeU1Ds9I6w1oWlrzvqH(2ekJbJ(( zOPiQHX!Ny@I8KH|C|(;Q1Htrmq-C&2X~Qt)c4O-XIMDHbBaU@^xQ}V^XXD|=eILFe zXn1) z_g*^E0`uyx)rKV*dTmWWKsr@UYALJm12j8Bm$pMg?*69+wv7g?=fX%aJd@183W41c z=0aIsCFE*peCAln8zzg%qp^|2g?nV0qs{g03fA2M%f!p|fHSA@4>e&I+DecqjJWd)ZIV>A}}m(Qq} zLbE`tsnA>EYe^;a=p-m9STp>eu|nQCsh^x%O=%-dO*RQr(QjAzcbGxnBb{o$!RB_2 zM~mV%VHIP8X!)8y_P1YS(cgaUkB)C0cT{?HYlZtF$_DEXBtvhm47N>LaBNY@Y(9qX&LgY1Ovf&&?Jx-oGBO}X;3xDSz(QtT+ ze>a>ty9|~EaumX?jSuq!A@XD2=jf22X6EDE{psHG;zeFK=awYv331=S0{1uUz7OF{ zc6(EnbGkir8!by%NZPlZGb^+B?N;ngl>wp7gJI_lkJrQX2s1=*h+0{(uA#dXdHKB2pDKn_sOC1)05 zX7F+ZUKS8eWg7)yio@O3n`~)SBDF86#dq}C$A(ooL2=Xhw&?Zg$306voWnS2oaEbv za{U}3XsBC+MlUP$oT1<8^l&tOJ2;b=&NQ5X3$_x|RXyr-Ng0mNui;(p6GFoVf4@z> zb}~NSVwSlR^7-~2v5InJlQiB8Rj~UBOS5cIaERPAMer1GCs?pHVe+U`%j2Qx?0f{{ z%H`1j$o?j)u0COZ1HfRiQ$}Rr7}^1_-baz>V(ZDU6BCm>bfkhaoY$FxCJFSkM5gI z%4np?${Ez-^m}5*DN1qcy#RZjL}p57Gr^_a+aM zy~)v`-v?*54<7n`0CzS!!4s?19botDcFnt{`rd2m?)B>;Mx+r=l9Ux+C+9~@f$`|Q z-gVZaHtq!*Bak|YC1)L*iz4kqv=Z+gprkAv8PvT~}&Jp0PK|B`;Fus5qm* zP@Xz71-)N|a4#HV__A>HmF!(}3!(Yjla$z$DuC;^B*V=4&YS|T9j18W&%nIxy{n~U zU60)nxWIv;)4FxF-KpD{z-(~&SAOPpxh9b=TouswJLXYme`J(M+LU0yn-TDjK&TLx zzD5UBjh(TFJD~qEs&I1`ZIeMu+X2Qko<*aNNRSjUEh)ms)7vN=gT07oFPvMcKin{n zn_>5jj~lqJ%_Tf#$GHv7vMXqU6zqlHjc=QJl`Kuj|e_ z?h#5rfh7x9QU^#v&cSp>-)VW1jeU1IeF>BJgncItB<72d=bCM6iDYIAI7e>4WPJ7& zE|P!t-5ADw74sXW){~ri@vH`W+A`~4@ltSK1AlY7jC1W`zl%|!@`=py19J&!GhkZK zmYKm{m#_|AAZ5+oYHSrwNBD=&L?EIoWth(MTA=#07gBG*YJXUW`r#@A@(t|<#Al9( z%)s4O%xGTP&&trpE(}LZzVM(M`|*M!Ee{)-3+m7i19k{>iI5GaRp05_hDLpGF2 zudo`Pi|(8EfBMb)v;-|tNqvnFt?lNLMs1@O*m^<$$FE*E>zRE3&BtB`fnl>74e5?6 zBigPIQ88|gL=B_R{3iw_q4;=u;S~Q24Xsur%e9=~5r@r)Y&s~A(y*$qm z6$Xq1iRedclmOwrePX1}_OogVOo@)A7?3-Z z%qrs)tRrwS?W7RT)ox9CV3MlQHRo{EQFm`s16!XT=(ACvmU67-*(S{koz6HpN-{Vk z!2ghZ9`2&E?b;>&kx%aayWNC)5p*Is7>$*24>o9p(KX&y1!C+BR>UBQMY`oA3^<%z z(}cSj=AasiOY|U#Gg$n$7*!^V9&4eE&4r_oM+5g+&Y&a@O$4CmLR|Y8uR@v}bRoE< zp#`q!izLF6<>qpm(_w^~XWST=?h8FUDD`j6mveDcy!3&sqLyO)%V**m)N>-}% zD^dwPK1812vvUKCLuoIu-E90sgejLOGJ?+#&`2}1%j=s!Gr>I!fh8TG1|1BiRla~V z(psqnyENcrnH8pW4ja^jFj|0+X%5cc5ToRAst?H88NJ-D;NXYM-IIqW6Yg)dooIdJ z$-@UGWeJ0Zi(E(Otv(%WLFue{p4N>n%G>V2WUJlQEHd;rnJA7dBQ;*_4vtrxA^qaf z3pwqS!}KVo8FK2$yIpKoVg#@#g5Boj07XvIhP;p-FIYc2rHpB@%xg5*>p`s{49{v_ zTF`~8wcad+{tuSmo!=T3!Wl80!oY;(LaL)_N>FwCY3USYC_$70p*zLty6F>7%W5^O z>#J>DXNA?NRCgACWjM??gfjjx^)YL01lPg zY?-o=C)cmQilc=~JUiK|HA?r^um7!JCt6%0FFW$b!pR8ssMW&u8F~wQS{S?O?Kg9S zOXo71!I#Qs^iA*n+B@2e{pi}PZEfMk5a|_ItxsbXYsVOeE-;!)x1mw06axyR!wB#@ zuK_-oFllM9e}CLGHs4NF58?*sXMM(J2iMBo-(Wfsg-)rRATO%$HaVx3`K&4ln_R-a z(8Xh`w(si{X8OwWz&fKh-JBoR$^E3LA3iuXZ+SsrCDi$KI*=vNpN763z7v+<5;F;1 zw3lMg&%uqqtM>rRfA*N}gu*eDgFS>L@z+B+gEXjcMXP(F;L z|B(qtZ75CA;2I~GinAFUX9oKsCV_A`iQY1M`|K31oMW4HTmX3 zR6A?LFU?dzO1X~c@8~=dBf>M>cd*3>Ee?g(j{^=7trgFkIKe*9TrsbDe0XL{D~ox( zET?$^ukg?&%iZuX_c?_x%k5^p-8ea1Y+K;pGrDA>0}kb_m@N;ikL@bGhK&y6juJkt zz7tPB{Yw&tx(Xky?x(Quzz1ady%`o3RD&0deJ^Qs@~!Bov&9pF`2}ecFUz^*K0ldG zF`!#bq02C9TqU(o8vGP9EcG499zF64eR<68z7e*(V%*_N20@Li8;&8`7uXm$vViG; z$6b@;^tTMfv!MXACnUE_N`p7LiJRPg*v;t(TD37OjVOps1v)9RCL(E378fxh0(V4{ z!yFw}SwBylYS!hVmv7^pv*Aev4(L-|_-js-UYN2QHkoX(jNP*(x&RG-q&3>Cq?}?-n zxRyZ53VCSIUNoX1=03C?%c~6M3Nksam4ox(0e;X2?uyA~T(MTr^D0L|75p>cI59dR z(kvnP)s1Ut&ZU+HIOY5TN4Zl65LB#@yfx_(2LlY>|LdJzMF64KY*z$`Qxh~PN7M=z zJFOVd2}SPJ&2xXD?xuEy+0LGY7Jq}6EikM|x4!H0e7})h|7<)#z3jfXBkUW-Fmed{ zB1Eu5T%$91lbqf=bPGFr=;D3GSDLH9kWX^=Pqk<8hJ?TMO-{0YuSfVBqxv-^DvLz| zeyu2%2AW*T=yoRR{3aG;cKVd{xQ`DwvP2H3waE!gs}RL{HtAKi3i~x=2}b7Cd&$R= z_GvV-w7rlf6z%bJvnW~Z``jq^;h2G1$5R0#KTDpwomf;N|f`&ZSELa+^*rJa8c4NuR?m_fAjt?E1aib zL%h;zwokU`F3{Jy)3m598uAkyr@wih^PHd@^xWzua(Y1o=xKs`v%H#Z^NpHIR2$AD z3T@gdo|UWbQ>(eF*{N-ld56PH3p?`39QPQjDaDC(2)(f)Nfzk8L%fUTp8Dqf&$0qf z$j>n%xG{||L!^>5z)5^p?6vEzjx#m*(_4Zd}sauJXfe6@j@1LxDMFwNjQpjwlI^D4z1 zwYJ&%jhPT+?(r<3KJ#~49Phmw9Igvs$rGJUQHqWGEUj>lWQGpKeGPN)Q*-}EazEk{ zZ|W{!`;6?PpP1C|N)jeJDtSyd?N~AlqU@r4)l>AxeAkX;*Xc!CjA2@Te1GP{l~(_^sA7IB?8O@O)brup_VL#qG%WacAW^g<~pbcVZ-);wk_8FeTtP z2WAU7BKi7Uury^R!bO!UrL254P+=IiBP{Fp-L_=*h&C>?PGv!@0@8g_lP0SDu+9i4 z)ZJi~mGF_Qt%di$KfG+KybWHn$DDc3mg%vr{CUZqs5Y=L=Vjw;zd)q?iqaSznu;0J zmW=2y(lez5i&aD33>N#sGv&J|Uo^x`6gjo0L=$~~>eR)-2rF3ZB@*voU8NG;}@ z*b+OL*DOTOUBK`l1l9%yOm6*T<(1IOcq81;ewT{TTb5PJ&==m82mdexgA)&)Um3d2 z-$GTB)5K9Txy93FLGp~~&4g_I?50~iZc=6yMRsiRR90CwFNwS8?!V;W2)js>gu$jv zAt4t9%+lLs8!7MB7haRfRRWf$rh?VTyKgH@d1l+GF>C{9JI*9Zh1u2_gYP^p!3_+Z zT5y&Yc?{h-BcvBh(~WQf)bJ_6lG~7j=^Cz^G0*u zRpK}^P2sp&OjCMs1GcAEr(g5iRQJf(wxq2C*eGcBfIK5zFzAJ$xFtQaC-&SpTI1$2 zuOb!Nr&WzC2_|PRk6p@u^swMo;r4Y}q|0rwPQ{o`3z{{ww2h`^zSzQJMaH+tP=Pb? zf$1zdR#m0MZ0H?`PK<#1e8k)+S}S-I9{lG<8*aKMqj zEhH<-6|tAH-iNt7rY+*$yK#QF(4sWFm>UGaW5VG!CyStNV-KWG`Tv-Ew^&J%bv=lg z*_b=xNcah4<=LFQtBP6GT~+Jeqm9(lJv}q~boaEUdv@L5h! z*hlE>^XJA+#HK#d@e{Hs0_4rRe@P&(g zVWM(%G>A9$2Zzy%Or2P22mdl&>uY1fT3Dgt;6(YXF4o&7kNqvZt&)_W^nqfRTqHd;k&GbSbb!;L^l)4AFk8v>| z84{b(rUuScXLp!!y>Vlq8D2~=18;vfBgvC7B1-lji~eQPF!;KLaX>twxXqOC51U3o zmsJnKQm)*v z)}M5YWHoU3#~RZFJ-j5c!lL|eL>)UW3*%bx{3sL7#fY5rM+ebKAB55R17L`=2M!U( zX|vCg$B~0_eK)gTUdM||*ambAFa|@^KjsB3YYrTEoO%;egui6i?lRTw6uKcNP%N*| znm*+xOF3A!9Gs(oz#D2^{kd8$1BZT6`!TT}e6db+M_SGNF!@RD$GaNf$Bu)YAD=L+DnG6HGeVbzz9;z8egMNbvQL$+Wyw_$%zVvf{ zRA#}*LyRw=`-WPyF8Oj*KCojt=y<8d&mE;US``z`Q^t=5uKg(L^o0{O7MIZlYAL>Y zzs4%DR+&-b+ea`_E^7R-&u*_dRP^pt-dtdjm$>bRCwsHnBT7F&!a?Z*hfI;)f_8Mt zWwPN`WXWZMUVV?2v(uClnDu%$3NXPtXh1kT?ZD}I8N`B}fr_&dS$`nr;2)Rq#fBNd zeN_POAgw6bc&R>nj0fsZe$q(d;!98w=rgo7NE_X*54G2BXn`0ZqI8i37YBZEP*pTF zQ8p-?NjC36c78gYVq6Z{EScRnTXP9K(?!WPBGkNwcXA5iiwDuG+??C-8nhx1gUy;I zVSHrxN||=x7|&v-w;sGX_0Z#~h8E%7!D#IrIpds+)h;oHZ12@p`?hhKPjdC-alh9! z()vRuqUtSzNByIRpwc8N*T1uC;Q}fYr_l)z&<;i?r{e5~9~vj0z^?jj(#T~d=h6UC zC-XoKjM{Vs<&iqIb)cZCVBWl%rtIYVZ9L5hz69uTCl6z6CT)QM01Ct0t*Y}icd;ot z2k#Jg^C;*nF;#pl7)rGOs>4eq0M$wynL2$aXZN|3lU1^GpW-IZb|nFw&N7{W5C^e#_XZW3E-Vt(OG z%q0NkCYL)?AgRSKCa?PP8*2f~3u$@4{~wrAz1K33+zHeRU@dpJUC;Xpr3O^;|*uHTKGD)Zo8^c>Dz z-8?0TlGpQe4B1X+T(G&RW{^K5TY>jVWTo_mVW<_)mT6pKmwiItyGq7XX@=bfylnjy z24T@rr+^e#g9v~ET$5Xm_h6R;oM?ix12!Jk{--g}#itW49@}h_0>;88U0|>;_=sw_TL4q`Wg=NZ8k7tPhhmIrUHQ%M6b&vxSl5c!jvPZbc0@N^$ihi~IOxdu;|Vo3 z9B^AzJG9p&hfd-4LYuL?dx}!})e6SZ0lIvr+=|J5H(u7JQ*f2PpZIuyBz9;-+L**5 zgClm9fIk4``i2S)s5z5xwKjfLH{8`2Y1b(T_K=B__~%bQzE9t&b*b$}5l@61tQvSa z(Q>f|d^MHgV7LPQwh?L#!6=w@075K~XM!eFpMZ(vCc5hWu3{)rDk1`F{f?7R`qYt= zwHCfcA8yIIs*9<55fmF*9flNTgUA}7i#Ny`8>C7%n_|4pXY&rB*$N%Dd}h8;|Ad@b z(Q85%+>4$hIzR8l#u(T_AzGH~azpJWg0gzSN}Os8letM4vNcI=T~UPc+?)dmB$z|s zk?R~^=Ou&s0!%m{@N0DgswB9{v!u>evRp5+9r4zPd2>q>$;26FI9HIb2C@?5OQN4wh7tTi$R(9OsxuGv z0GPl@takU<#O}B>zkD5|u$_Br@0YF-{IzSiMWOn%pc)oXt-9v#s0CoTZCmw;;cCm| z=%{sZEZf)>`z{`}{$_b4`cy62CmuzUw2^!~wyTfaK-;8==D=2_ox^8r^7jm;R|?YT zNG)fdyNTN2TxktA3AJBM(^N^sBx=$m9g}A&i>ny1B+vBDFFKZD$>zi9^)#-+$WS^B zfYQl=Ck>?&X{x;qS|`KZ#3-3I)J@T$ecp%V3t<=hV~n=^Zjl1w+t?L%m1zjEDZhqB zZPEpaX7QDG>AHw2u8LC41bI$7BcTZxC=F((QPLK0U~JOw45f)Z;ImW37V4{b%hy0webMNKgOt=sEval1Mfs`dukrmi*1gT#)VpJYL_t7 z=h+yAtn55JqM4v663I}yG$rA>Pt3&3)fS{SpRp|=d6-RzXdMK3Z8`ueHIgqM2;pmrL+9hn%j#zqGQ8XVj~ z{peQPdA5kf0HNjwMi_N@dUs;1Fvw`GCUV1N$zrq!qUW#lQuOCKFz9`UJD$h8%p31C zotjkgD-=k$D!nz!EHgYIW|${wFDB<0wiKR zlvrR3&VGmY(0d1SI?oC*LI|+ptY&IsSR`1nhXcL&KhTBIC|3h)hYw7`PJ+>D>6&Q( zhq!KDLJNm2A!{N>_5@AMhd{^wwNtwI1%qgZCkJ3`p6!cJYo#afG`Wtx$khy~z3_Pq z9zuy+-^`ItvE9<||z${(KGZ4F)2xhwF2Jb=y&g8}3*k87e4% zlhOnbiEHxt<8QtU|%1|#TJc!a}$au&V;YPZ#H`5oZDFjAP9OTY7G1MO@?Kcm6z zqJ=Lg)aB__TDC13fr&e~qYxq9gNSKg%aDX)JRK4~W`c5}pNKEfw_o{ExCS()*~&1D z@R_o^19guj=>jmNaHj~XM~0fVzlk0w4^g!bj#I7-n1uP5)zGFXxk~Mu6+fzKcb%?w z=}ORO(6W1mAD3)Q?oGF~!gtz1O9GQLlu|1L$do>^O~?ry0%(Dn07L-_BmZo$_`cwC z>EX~;SRMIzV^L^#t6clK(3Nw(?~tg#oD2>Ug|@sOzFhR}+72p4N8R81J^K3Y%1 z{T?RU{|L8Qvl+b5Jf2wTY+iR=QL)p<4om`~A8akN@yI&P?!_J%x}Gjg((xc#M&o#L zNnh&YPcV&6w|Pi})6NJiFUc3mwppV7jerH>+2~#%eixkHA=87ZMtBg%cg{KE$Hbxc zG)>W5{UlGOo4Ke(S60LwAf#x)a8$`vh(}JpNQk!5$d#6;FhUwo!!x)mO&&AQ==Noj zY^rF8HMcF?Atdqyk0Bk_V3(-TRFfbQ$1lZcL{JzTPFNceD`>3NquQ{bTuxdLSpBlV)cR|1 z-dk2m)ul;XCbqI7M6hsb&m!$Mxd1z&U{*j}Y4aAMF#C-%B@J^>8_D-pk|*M8Uc^Je z4sbTYb#(oHyCm0J0p&iIbwbY5Z%Xq-T_??>OUGrhCsZc8Px;&a2wUfNoCo=iZs#p! zqW*zpmmJ*2&7@St=~Ue_BLyL!ojTUZJwU;Ogg42d4hFvh~tM^JSI!L|<0=ycOl+ocotVAuug;E8})#8%JR!qa&eY^mj>@I1AKgYF+y>aYR@> z%uN_76Jb&InDA3$dr=3rQZoQvBH0nV$FR2oUn6B(v4)x^jGuEz#J`er!^jGr`_9K5*b|IxK)=IdQ(ujeeCc>=)!hh|1VQIC zuMsBJPeR7MfB(``@`9j< zvMy60M56Q0jQVjlev?XlAZ%sRmV2$TXV;68444(HSgTb~%XLNT)!7R=Kko==x1cAH z2WULuV4FowR?Aihrh9PFJj!_b3>-vQfujBZ@2#3<|GqPa;9n90N0%QU>`(tuO>!Ea zoYaMGpQIMtwNhos?v~AJLqYD+{bh$_>RQvomz0Q{*30KzDGHqsHz$|s`Ij8d z1Io5&+r^#%9Z^DH=IEhu`)`v^k`xx=M77DHPi3OW(7pIMFE-O;BI)j;7ky)$2@Dpy zFiTM`d>tL0sS8GD@_EN->u^HIV_`Tv>yOTQ;oJ))SprUimu;z|18HOAdGA_P`r=T4 zNZ&O5QoFux(husW6SNkFv()w_Qt&{(+D94cWTw^$334t@c9R7$DNGz4DGjd6wp^?w zz#Vil>i&L!0PO{+^32t&E|bj;Ce3T2A`9#{vziswv$j}XoR+a9}Xo8}wr)O=d`x7L~=cngL-*B$| ziW+4r=rXKsrN?$#d8>5gG=3|6D?Nrb0$0r9XGa!Lx6IK_mkWWq*%`s6T=PMDo8ihaR?qd&S zAzTz^7)VaHT-tBFL5VO)R_&O;h&zRemo#w~3-_JgF((|LK~EwQASEP#3lBTgdyZ|5 zEhL6v33J1$8Hq35hz2kR^q)NGKYSQ)^>V4x6}+A>B3@AVUyoaQnfQ>a}{rE~vtCw1sAu1^SkWu{n&N#Mm@UG5rufCi&oze2#(pXSLmvS4S6 z1!4pF7WLz=(ZF*h$HjsWH+S9!L&OE$65-~f&UHAf{p3q30q-$;BYZ>J=yi4Pn~z(QY)I=(~( z_B{gbsX*U+e{a9@kwMGQr#_Q`9dnJDB9oF;b{p+xh4NV@?|^i>mmXd+VQ4HPS)s(5DyDGn&HSm}DPi>;;AGSHT z?)i%mvnrz*QR@HZn-6%g1KSq`ntK6C7P^3A^FlriKQ2oYb_TF|7ugJOr0HgZiY|09 zBC6zON)>I_jtBxASqyt}w4961I;OyR&lQRdPa;0`a@#K{ zy6L27Y~Vo@PVp*GW>M)m;cs+5VEVx?U{Au-H(K#HY#rpdz~B$)vdoA&`6_W{u_RF& zxTBljec#V^II*v|)@uq^Dq=w|4uxK!TsHM&^B3MNO(VkwaK*-s#LfneNJ5SaP|mq!k@>`chpteK{T5m_FP>Ibq1RUp*uDd0CD8D!Md?Lb;Z(9qF{c4Cg;=74vqR_ zcZ^4$+ThFQq}wto)kWRC$ESMh6BR+#5bMUUf_Bu*U4vzFne4_{OlXIXvkYp7#hEQE zB{?MhBO^hS0t+TRQm1uw&JhiN-FS)}9F3r`nqC3AQnkLx=!M*WM3=xxOQWL5+yo9o zod)*1Y98Oszea{MzG1bJ?7UAkAZu9*9k*|$LkXf{>16|+vFohNo)V%OGe<*JLS2V} z;KCk|VuVv(u+=mSi6qr!sTBe2-rcZ}j$@BeF@4879u%JQHBXVxEVWzcho~(x=cn{U z>%6X;zxY9U71k`idLWujYgU}KywU2(0D~2zBVOQk^?W;xY4csh^~DKxlBDg>;%q1I zC7CaEK(%<1RG!=TrEJv34`_*qvs>S~c^HJ~n4#QOf8CW32!VE4QQ%`j(BX zGYI_$M}#>6UjCT3SVxC;jJ2h#MCdoasgI)0g-vgF_!phh z9Y~o)dSLP$@bnbD!TP0rxJTdR;1W`0fe9LK;+~a!!yQ04;M7*9-~^u^{B;InoTqZN zt(pP+y$6UJ9+GUw&ELkib)Dzr1?b+NC974jTU-I z5R&hbxk@0vE#THrNwm5st^21WJ$DjfDDTpz;DGjMe zqqSGuF@nInK=u`OaPuJqtd5S<;QU;PW!H5;fZzTUUR4wx-Z;19KoM+1nB})9D(6N@ zRR?t#sq)MY&yUU!Cv`l8kyOi_6cWmh##~Y<-(W{q&`p|L7p{yt{u*moD8mS}k#fAB zr9cDI7Z`|{=@gHVUkuC-@lOy&(S3x#6=b!RL|1lx#%glL`WbO3O8~W(5FN_a%qD=q z^hFXHgoo2LR2Gm>Dm!|x;*l0v_q+y*MSu~lw;P*R*jHn-ov-0# z|C9F{HOoR`jV@Yp4exip(s*x7i|(A7A5+;nz?z?9gUy%XqmF)IpgzEv%gTD}Eo>`l z|5mFlTf%0g4RxVJDnz4L$I}%hMP!MTfv}RACbx-&*RYMFa;eojQl78avsWd(PC!9r z+c6?a=<>1vxd~7RdqE@6u?PuIfKthrbIHaC0CHv5VUvO@F)trT~+IVPJyMD{y+&Z!E(1feqPcPCFp=lYd|8%pXkuqP<83j!xx&GQ%icJw=Wq@jXLU=!k)liIFhBXZ34%0oQbeK~`wUr)UQE+k}}5MB%NQ zs}n!y;vRBUm<8Dr8K%MDH2GQkl5LW%bWi6O3vT>QQ zz$``r+SiA*`bJDLNPEC{bl%jAQ&}LFK@}N+AMt8Qc+f>fvVA!ZqOL>_)|s4a4tHSf*>3EnS~V55(DXZSmp(`A@LHJN!VJgOykl&Rei1 zRFp?Z_J&e{L||vabeETqJbZmTIvzDpC}{J5zl5;VTjfvqyYJmnXV+)b&^o)Fa^a{i zx+}eelF)9csG>=2*Q`#{kJEvX&m|(gMhRUjZR<4iHidCZEUM_lRSMzy_vetE$`qK} zd7kuj&tP*UkUa#G*s^2(NmEw;3IvdLj!Koy#nR28xFWos_?n0C%~nj#!t>JXDqg8A zAL@CN;Z>>=f%+XEr}<`H;)=je14TvZUB83x{vGFKAD-SBj_wT4PxUcZA)>XO?+RQK z^u5bTU}Mg}9#Ul_!l{~S!o$f@OSlKS8)ws9bbaftfVUB}Ab_ya6zQaw!feQCg}>S^ z*IFRVuhoI9yZQ|p63g}5yXCR6XfF303I68oj^yS~-?loZDvq&#J&wzY=I@tvbtawq zLKEW$VNr=g2UAkNIQbW;jSu(KJFK+2lMzY}j&D|?kESt769E-neL{)Tec4O`-j(1C36aWm zU*3IOrnbk+5xU%M^c$`2!9Ad~KLV!mqmj#DB3bQ^2K}QE{nRGLUEeD}p56xvROXeF z@91_-hNybVflwlNVtsP9`WuDAE@cw${;rZbMtmf6-SNVVx_9zWT`Hxkuq>gwk12Xz=%4f>ZQs}966LD+1(R?p`bg0Di8L1(T_(b2htMsJ$l1h-!Va9alvQF&rb$GWhX9bcDYt zI6A5M*)GPD*bg08j3oAix`dUDOuYotoQ+XiqOks$;*uF|*sf&;bV46@E zg*`KwXeqW5n81A7hoZ|xmAHhof%T0zI;M_T=*njw+wIf39+7N+5@ELvehT%h(vTpng)Cep%sd+QqHbzqAyow91@qls0ev zR6t|BB+pusR}YtEOJGbjzpxD(JuB<3*X~eyGg@jOQepCY4xNyXZ7K1ZK6?a5JAsbW zMggTgpz8!58jJGTr*sXJVv$*ionlCAoaL%9HN{jEC!=iWJ(hTe*?n{rvuC*d5i-sI zgOhQNprkVtH9N#k4hI^Fpkud_#dcg7Y(NzbKxKlkiDPFLI{3S=p;|Vv)JphU@4YqY zH^+&67*KetoS_mA=P6FaNm~tcKLOfk6;yC@z5@}rhNR+kG&;gO;yV^8|JK1E1z&f! zOq^$Pk;JoY^L(laoMi~!0?ER#E687A?st(~Y|Q*M*}Tgbi@1Pa8Rk-+L!x3!bOFFN zePwB<3{|x)w}>f(@>wqMD&omyGKGKT3AxH%aQ!NtsHe0GQm+2JN^^M_{`y7U2VQHJ_hcFd=*I~IEm-NgIcf?Tj z|F2%8Lh830vNnJBg8?26-ln2u1@wby#(iC!cFGVANy4DhYonKg#%A(b_46gzyLr*^ zoX4_ojwdW(<9)CXn>{QA=1AI7Hd%Jb*kb^ATReU2lFzCitgr$dgu9?NI24pZy<(`o zD@#&@;!=xDwT~G5UL{F!i=Z_;oN6eEhP;&+l;8M4!U;qQDHV@0Ex5qOeOzh5NEGz~ z{5|cUfJe5h(YuJH^k$PJyWV>MOJM>>$c?znt}N;ou7OL;K4iurGRXKF26eqQGz@fxo{7eENmZ7xuDcpNdSG@GUxz zJ2ftaWa-yEJw6~mVKgj*4Qs`d^s;!Ve*D-jhGSivplPWiOBZO%=SkirP8T}Hh1)lm zSZtSAdZb%a-NtJ)h5m687?#9~m|9@T4A-fIWN0w);3b$uHcOv_)M#OlK5oNp8m(6_ zaZ^|I>=+eL9V`}sjhgm-t}!gfFK)3h(M84H4mRw z=E91}Jj)i4yjg6=mH8txl!{~y5mHe)$+i^i^XBjULt0vhD=DhDgWX*CEL%+7(hK+` zS|(Ef99);KFVY1Q3))}MXVt$^r|pW!UhHq^v+Cb?MGV%c3;%*??f@oHwgXEnWToU_ zkn6Tu4J8O_XmvO|)rZ6I)RDppV>w*JK2;Kq`LKM>FpsAgkf^}#e}Z6;EV}>0Mr|7h z(UatLI?4EI`lA!Tt%r)c_|A}@&k*t9i}$q%y;n~)s~%AfTX0wKhy_MMs;3B4H8cp(21*1k@>IDQiya)A>gf)mr+{1g>N$}9 z;hz21-wPvJN@WegkQttz9NhxQ(soH26wAp0cGY>Kf(Tc*J{bJdM)nu+CF*5=83P3r zRNTDm=wKik1LE{{4{wWdaaL2CIN(btK~v}Z;5H&RRY;IOkDJe{cpYPA$Q2^gK8GVj zC|omj{4HZCNccNUQMH?jIKt~`FA4)#^*4x~a4{g=+D zVap@DIO(2aW&Ai%gPs33mg5XwcP&o*hg2T>yB#Y0q}xd-QOl|CtH|ScbOY>W zRy4UE!a6Lhp6!KY+$4r_v4#7;f){Z!))jJ$fv@D?(BBK&Mm?H#)f}2`KF6F*;j_@k zYRWLrPu~mM2ks>dhv)pIZ@20U6J}T;&D16l)vJ_SibLB4G**j!H@2f%om8qA(55Y zmIC!%chUW6Ca7;0N!wTGt18MS`2%I`R@)-2l62V-_*&5qq>ct|hd9#{itH z%4vuRu2R^9sOWz zTtjapnDz*CwvXZejWk6D=G$Lopfl@~35lhpXHJ>SbYboKZioaJXV&~6Y-pR;MGS-p zm?_w~&Qp9Ba7cO^Z#yOr)%d@?Cy&NY%bMqb6jHpMZIwAPI=pS>Tmoj?FjgRG)cH8a zdb*CmcKaC{k=TRuh)(G19F82)f(E2hI_0EH%UsL^@<3gr6dLvR&8k;e(xHG`0AwCM zDqi*<+jALa;S^8in?LhG8H3}Mj{PbHBpcLwXr-0tF=aQqzk2kz7pNy&LZA-fa#I)z zzmVjDkLKEe%Lhwyi4zUJ}!2Mw4h$H#15;)0& ztv-5;U&BWtEP^Rz7sAp$E@$%{s^K87jF#VAT~ZlJ%;9N79>i2j_e4)HTy_AMn+@-8 z%rXvQQQ&uYzxC#Sy;7eaM5DW-Q}wcs)lcIE@vc+$Elw{yOoAEYL-_%c z^u;?C3BzsF+cic5OpXuFkB&N(zMDMwKds`2=UWY|M+ zm2Z{H;|G+w-kS}Ry^L2iU3^Mc+`fxx`Z}xY;30f}`{p;5vmF@dF#LC_r`t$0}K2ADitZt+p6|Lu~qHxoh zCwt9r`#d>;e#iH+Wt#ytaGx`$T&r0dwk%a_zG<$bS^?f@g58T;+<`p>&muOThv%oH z{_+q1q$S&r2#Z7Zq(3;0payF{$gE@HcZ`i+LdnL;HdsW%VSPBERt%t4!@e@WCDYkF zCgBmH1>Ef{5M1R%qs}1&G8~|Bfst_?E9rK+8R&r!uEg7mQ2Tu~3@^?A;IQS|h)3Ob7mu4<}eI#dmr$|nOX_0e~?r9%wGF?E8@5ZB{3 z{&DbZo-WkJzF5!GIC`|$VStkWB>m_M8{ou`Iv+)yY$Mq!tZ^f7@`q8jsiO%rN@F#2 zfs%~E%Qo4*F!2Y$&!bMYSb)_t3#@ig*yMl-e)d5lKevZUwof{E+{?7>R2P07>T|Dc zdiG7EVgukJ1J-mBLOd7~=0^Y53viD#Wok8sK9tifL+XQ>-FBJWH<^q#;UK{t_A=G% z(l-n(&YFJHtm`R)X++8)^d2;<{)&2{20!8EKP%&3#ZHQ9C3|wj;%|&&Xx!J5V>mp8 zI4-V1W%mP7C|ahPIKdJ3f~ZoSzOGCoqZ$`p_Do&Ie7Pn#o#h+lDno?RHf3Z*^T{^d z)X3EE72-t^9XY%>!_o0%!Xj=)d?D4xc;?-m|u{!l2>oo%w&y0)Ju>XJ{NiH7y!D;s;B<$JbofP8V9mriG6R_VvZe3NNjF3GHv%rHjUa0pOLa!qgkY;#4iL}{?~ zY)>WC&`JONH2P!TV)hxJwLw8lPm;;qcIESl3yE2R^nZ%n(1h{JbVDW5Cyoczcv4Op!{ji|4h=cs zb|&H0lgkJ{@>SAwHc~#X07){~zNj|^&MwEdKr*yDJUTp%mP@RdM`*PA=wvX!kElcJ zybM`(fC0KaN`PWJ8Z`v;CcDz1Kgky8n#~j94FdoMW|c6XV423{Z8wuTeY! zZZhKojW&b@l0XvxKJ#O_ou79^5_e?;x#ARpjTj#Oxw4m&UB@u+>{BTr5<-$OV06?1 z?A$7D0vg(u07S0_QCMMKDWiIQQ)*Ss zs~AS>0C!V~Aqh*145`ycA|Y%yY^mLd;sVSyOsP^y--VfM(tD2S9v~ApAp!+iZ zDJ4WTH&Ao`&P8u|0G5Eis&_%r|8~2!cp}(X07h|v9yxhNeI$HSZ*G03LcofZ^VqSH z;n{zd_&2cX-Q?<7vQrO`3@S%=H9?JW)bw_Zy&;v@k5)*6bZCSHwZr$EkLmOW*m(jx zY*riEoK^`ox!UF0FyXS;r(Qh?ofD-!mcFyGv!LK~0&j=ft~c2#yHW;7PtXuRU!Q>d zZo+zK7&=rfJ$Z8P`EwIZ0~238&3j}P7QIUO54?=QpLnTzPCj7XHU|oBC#BEfmuo;Xw;<*thVMVfmOLZud(K_iENoX|KEJnrqeV`UAMi;Da6k8?j z;#%B9e>kB0=5U}qfGP1G_R2sBey@q%0Q)Pdmgngp`Y<{50-CR0C~s2|}9{2hmn{9%~2L2RtTz>Id7fLNKRD09d9={Ns% z2{cure8I)AiY0lYh~!o#fNV7tJhEe^Xe^=*zN8%!42Wm5Jek3~QlLV>qWl?&z0A4U z?*Sv0=a8}A$?@PE0G$}Xst$)IC;cID67&yUlvRZtu)>nSOJyp=QFonR_8^7>W}9~l z1{bnjISny(_5W^;&ZK3v7Ybe>bWH?0N`0$)walc}Y$t|grXVn)?>EW4% zj+H9{sHl^;6u)qb{#UM3)! zv9jy#)0bc31N<0h(TchLLJi?#^#yS=2Hqv3nuCmz`gMSOoc5-GGKYi-Z~nr2{<}H> z$%(0YU-6~26*&N`D@lurchg}{fy-_x=`LCFgtJ85I>8qlXwjYtesk}OG!L{+n#clt9O0w9ha%4KCRpF<*EvLlTw$; zNo$&prl5b3t?7lZyHucG-Hu_CQ2rSPP$tUC$QIeZ&;59g_^kRj-@_czCo&vigZz5=zD~GhhOS@#b&g%9Rl?7}!V$ z$UJQlCoGERx3=r9vh)fVo#yG9L)7N)8e$i5Rn!fNyI_3gSq4aa-h0-mFq<3)0PKCt zIYX+H63u+M0or<_jKN&JTt)>@O{$}Acz%8+aO_yYjn|Zaj{z+D8OZkNCw;jD@!Ii- zA&X_^YKs@3$4Z6zG+uSm$51xK76DcZJ&ZRo73{*`*ljcdD{91NgC42)m=BHaOJK+Z zUbTZmtKv<@bT;698&gf`hS7GGfRa9wzN_=p-QWVXlEK?nYKK2nZdd*Ah7f_$hwDK^mk&V1fD1_?Uk_h4F2 zgN}&Df|V^w(Lcjgi>4REQm7i^pmfH%iE>Y_UT<~?f$D5mm#gf0MMzt+N=hB$$EsUj zGE+VvB>Km|v|6bj;Y!8ug@Bc63+pNdW)kyqBa?$M)fQvrEb=eGAp&@b`MVbq;f|-% zlw+dCSOW>FL>Ya8Z;%cAS)*k<&dmq%+#@UX%AtDo-Gx~GkJ>?(^q?DsqprL z1|v-jV}(t;701=6s7R6AsX-Pv^>OOH<4$-(;;YT$bXt6Hzw3#z%EHe{ats*<9A-7ENfiHpZCN&pcl98?I`i`L`c+9Jy&i-QNjhSFD3TLbTy3 zuqSbWHn&j6EvtQ3yk0^lS?KyW2N!o;Zjx{T1%_Us-LJ6--tngSx7S(KNUgYo9|NS4 zdWKh{Aui%cc(JIgKRt~Qk}&M_${}S*{7IF0guw|=v+GPeMCbi%c+MiF9&5Z-)^(Wv zsUHu1V30*0O3;VXr35K_7@c=uWvUf)Ub+fa%-^9+3OvPhvawHgHG_?utr`ASoGw08 zn_>l<0Cj_zcQC4TLpp)0jV($`8BSWY3&RB!CoaE1cs?fc3`3q>!_jD<0|b8PHRZ-2 z9jaDTrcp=mcI<2+Ke$C09D|PyyPR0rW~?Hey38hEw@r-f2Y}CUU;)BP+kh1#;%jvz zSEt0R=1ioGBMOyOP#ZIo3`%qgF-vk=Z z8FHTJ57C5%o1=&ep7)q!U(a)8oE4HH&IqFvr5T5JgtXbP$Pk|p09rt$zu#TpVMI`k z(XnQo1OoVCA%rS%Q~3|97D=Nx4`}EdM5nxKUMwm(rl3&^&?wAv7YGeI6`LFmINoY0 zR8?V>fLoa-Q1!LQw%}>1uK<0MZ8pk4iQu2f6fVkE8Ugp#&vmUE?V7QH9z%)#wwQ z&#y7ldp^yrGVKXGWj!Zv3ODw}3 zKGFM(#ynUEF7BopflHuUnew!-+n(Y3+mC>3Z%GdCsIMp3H!@dQAydyKjyicDGw_*8|T1q%(pgw64D7g8b-*2geX5yvsrQFv6k<&ya3BReRAtN@P zE!iJ%U0cv|b*v3XD8pcR5S+wK^%K^1O@))-DO}5tWWhAbUy+H{{x}@~NhKrkVBft_gEjDVl-RY~ClykNK zx9qhWoHBsrsO&^ofF~TD*XH<&IJ|=Sf7rBEV54y442KOMPa0Le$5?Lu%lE43@$4p` zAtP0A&k}IDN{y)!smVi||g?0*qbuBdM4c-Fr=p;ZcbUabgKAB)v zX-i`F$%fO%iOmAI(&&d;I(-8#FB8^@I<(HFQ)WVy4Qz&tgN5H?)TEUkTNeYhw^kRb zZVrOVo*K6(Cnm26*dR{FW{$R5=|~XS8g6;;n{e8!4vq z_`0Gcj7?CG1ObL{X;X6mq^oES1A%*tOe%8*HAe!vY+x6Ch zSG00j$fYiJ0yG@Zhrv)gJkr`x-26KRXIW8*(?;5uNendy#v|Uxh0iLuVl$kqoy{XY)2w=JfO-KM%^Yc-jo*@}ZHuDT0lrYGJ@XmB}t8}{Avc# zyhmE61K@?rSBIs-IsTzzd|l9`a0zkLhCvaDpJSDnE}10d)e?JM)J$Jz6KFyx2T+};-I zl|)rF@FEwW_|z*y7QVXk{EoivKrb*n!1*_o?AP?QdIkSi6YHYWA2ST4Tw|Fg{30#D zq18XM8_xjeb#Sh;tZGAFq1@@kLRUQENoer4;u6ezzs5-^2z znC32y4yWzD*127+APcH5=0WV)6)?xC1#zLK=Pt`#6bUhTKUH5rAZdlKEnlQXqT{6& zfq1T#1XRHMeh%62?(md#(2WI2=x1jWw+xCP@;Vae zrN{Q|Py5m7;mH91@7tgDGUJt9(Qz=_H69?>nfVx9 zPce4?7T1t^VQWkbU)-9wlcCyq&+sldiC4y=fKf2A@bnTfP5)gZ?-sD;Do2minCfov=E4Q*Wi|| zUtC9#z&pBsb?rXZ-)Bh~Z`vE zZH1B1-3`yqHAn+9;CP7NcD^vJiG^))x(GGn%oj~pSI$+BW(DS}D<+F2dSJEy#04!? z&KPxV8AbqJc%{zZ8N|^$^?6>rWg(O$3>Pbh<)nUG4&Za;$N{M&>EZ0bNa4;N%^U3} zT&IN)Bg2|VwG*6~fg}yPd>slffw?Tl@Ba(!coiknQHgJ}rD%akg^vQF1y3sl z3mjZ(NMqNvXWbt=3Ivi<(Hu@t%Ig7kp9Zx8oN-8auDqNdU&vp8x$Gke1g?KFl50S> zPj4-_Yjb_BBzsME7trphO!5wop!{3?4=HTf`gKYA&0dJ{Ri9hNg{%s{SYx_cpvFeM z5<^Xi2}xx99CjMUogJx_3BT{vo2njtjR3b&qms!+@XKlRDs^^pm`^nYMPpE5FQyx? zMbcu!c_Ahxm(itSF96z$68DP?L5WzC-BTT+mnH?gy?IosaA)N@1OnB%r$-g$FO8RJ z)V)~rniyYiK7PMZtfl%Gpq<~KL+C>t5dc*Q^G+SYsQ^R=AepGC%p566Egu=&OrZp| zq@?SDw$)b?b%Ri}933d9f2-EJN!FXq^9i17IO}8G05t8wV&sI*G@V_%-Y9>XUnPoUv6t+k?B zIekk2n-|#zu(gn}DvT>3`4OA~6gP_&2DSy*1U0&?{ffDcMtHh`8PX_X*|HMG6=x+V zSmWb8K0P`g;>xKNi(;u)=lp{0M^1&X!PG*4kMjwX^$7;$SKGx-SUUAGzw@lv)Jn~^ z6Nah~ck-y?rF;`@As*Fy_-BSFTmS5!;lU5IJ=03**jkcp=D^*?wQVHifYmm!nAT_k z*QVH|MDUx714qwc!nMqeK3cOiyK^R3phf7b*g1!Xqo|7zkx8Zwon9$i@MWdwj$S2Y z)g92Gmps8nZ*g2`;84szRBz5d8s?mGbSBkvaCp+%vf22jMpX@}>kNnbG*c$kTP%e! z94f48=zJV75X`eF%cJ{|{Re0+Fzcq>|DW%st3-WaR4*z#RI8%s;SybKD+xzrR71yb zOc4_*f{ilCDu+#!34Zj28U`5r)+ z;NXU%w%j^%&Ra70a1swo&`lM4sEx%gPbca@E_%^j>Rsdf9-#O^!6f!fPG%}?z zYV`Yp32#uGn;OL!)KYxT?Hf*nY_;|KhI`rT*Q3c&Qgs`>5?^fd2 zO24BKHu$id(mIyXW;T_@gI|@P4%mc)<(p{;|6fSO+ z21otKS=~j(c`Q=`?OQN)CiJ5V5OsOkBkjjMW|aSfM~{1rwTZ!6!~l&{Wj9UE&^~2^ zLZ+G{D;#!(G%TGm)pdkWG}*G25NZQ|!IgpF3gz(Ub&3MlShJNwbt+y2B)<^v(FZ_H zRHq8#6QDe9C?@>Je1e*Xf;onLOrP5tws!sn@_5J+(OPmDGb@tICh8h_8+A3v?)6M% zNF5Cgp$W>|GulKz)|m!zgnL2C85v+Ewwa40-Ux)9ri4MO8TCBrGN=sDlO153k?qnq zc!C3XVY3Uyu<1kcb+`C14L9ImKf78eOw)b4zCJG-x!v^30tby;U31>bQfLUsvBUK zo8|Em2z@!Zmj&9%QpSug>R|fn}6y3>WYk} zGK?CSbxGDxCt0x={?J(Wysc?6Yd?<3oYsP#oBXj`)qQm72h9>_k~-T!kZxBF;xuvF ziV&xf+ZKgXQ(*_%Xebr=C=zucKYzb248du*3?X|lIa^iXp6H42cWFr!T+Y8;B9~{L zT^F^b!~#~^tP6_*2frGmwHh%SfP!*{jx-p!^AdE1C+CJLsmK+^XQwr)kN+H~oT7<10sF&U*=Jk$nYOHGcG=`C6Xk5z{2 zy>^$7Y!6Mgwis)sm?x^vD_{{#%fZWIVf1Yu^EtS z28t1U8#3^n7Ob`sh$bi5n@$ql&@t}&xWGOJLi94Nxrg;=#4BhA4bra48l5`Js__n} zu*)m+vQmQ)b8Z0^(gvDbND{_BCH*l`9#@2)HkX-lMYkq_>ZHd)_r*9B&Xc)mKgsS7 z{BoGM!bV&iNE%;E)c0%UOmZ;m8dH!`Tonpb^n!M_9Y=P~g(*~{9uNXf$^u&Jy=I)fo(K;Top44NU+@ zG*Z>CkQKirZleyVS_=|F{$#{_;a3u$=w+%e@)WNdokbVPILAuA;raQgC;v-q=gV?0 z!%-hn*1B2Bpstr4OHXOKI=eR*L~B%xx%toEqZGBS`g!IFx4UIOEmC$)jn0?0{sx;o zP;G8d@YFCyVy=4z>YyNNvw*_Hdd$${4EQwr(Pt3E(20O}9gLX3=bEcqVBo2Q$%{#) zsOFO=Acsjy1U^ycigNunrCi-2iILS6*tPFrKL?Rvv>o9GRAZBq6OJYwwr!b<*&o45lX=D+M15*bY#J0MC zce^vwp!;?|qE9+ZRt&S^13QFe7lyIw%)NK~b-eSy>D4nIWhWJg)exr0KvRXZ8((#m z=;#4F!+(X+DH-0TL&7as65Xm>mnac_(x5tc`?Bm(riN>?Z(o{Shp1zGcDQj{vkffj z1mR#3+P0(Dh1zkNzuPixOE5`A#noln_jQprDsO5MqL4hD1_kl(U|L0c>a?C*Vh)co z|7aCh6qo4jg(ByKd8p_qB4o^b^ePEC^(8q@l2B+|1>6s}mt!Pv^YU)co z(R+Fcf7LCNyHM?^#x;Hc1aW zY6@owqQfR=e62+?+2#va5FYGtFgT9ZlZn+cD&h1b3d_75Hbi6O(R{9XN3tZx5|0r1 zyk8YmOF3^n>T1gQ%Xn3&={l<7oG;}Wg2eOsK~xewOKi-KNiFZxqcw2M(;XS3g~AY_ z7?RHkFRQObXeCej=E@)?JmrzpOzHhz{{p^axdz(TJfdqSq=uv;_A5ge4$p*c$v;*s zF*8%}($tG(+_U#cphSE0jI$k}yrv{n1j)K&qaMw)rw$s7>LtX={FiXw2j9G0&W*Bq zY-D^%^p7@NoW<+om zehKLXzj-7CgDu)NqgD{KRFSdy8CQ_%m0RwvG$Nl52?zAhGWp|UtL;virQ0z?TUNL2 z?n~1`i|(dC?v(QpA$lWke41Y9K;}5vTqo+Z7B>T1vFHqkL>w9ga6~ihhee=@pTco- zU^y}DHKIMZrdK<7EF8bhG-2ir-a?L}#?E~~*}oY^?EqF8?}2L*@oh64Fjl7-iE`?Z z@#eAG`TJ}20GN3TwOEkiCR`;vnXBz%wGV>Qsv_-O3p>x$*0pP> z$v?1F_o%oqNjNH=TtNI|HR}jK4)6`sAc@_iWg{i#YTf`+#lphR8k94fXC)Dx(cS2k zat*S)iOS97SdF+0C0n_j18xQZg3wSe9DrfgKF3(9h>TAb$}WM^MHCBnlSw@3IeICg zRT4?p+lw$F)WZG{7xprFolX#L@<8bRHYNpPAVs+t#;Z6=kVRXaL20sFb9hs`xG@Pu zlgk9CI=D3uR)pzVC`V_j-rpiX55xS-aDHRP0Fe8tr%j$L)W2L|jg94i18Dy$Su~(M zblvf25Rsc`qAvu>u@Ofa?aszPToDzgq!gAv{)-M$_4Jcyctky%zl$E05QN*ogQxhV ziJOrJsjY0A9)<$kDM+UySm%lP`6CX0)>ei8&G)M)Se?lDEooO9UuY8tZ!Ef{!zU{! z3NlUO3GmEKianV%<=rrtXB@*5%T`WRr!UvFFR?53(*zuXGNx5~3RdseK&#qJxavVg z&;_-)m!}Oxr|oXTm^#Q>lA#A?te>tEJ|(^`x3gYlor&uf1gkJG9_SH-*-{UrJ-PY& z@3kR-!56bnMaOO)!6Xlm3m|zdH+mzn)mE#qMoOc);FxpOa>T}Hby_!BC%=Zgl$>iS zB-V-kunmPzu$=^C+Z(P`^XO}t7KUni38a_($Neu}Jhlg&q z#%H6)vV!{j6jdIChtWfQ{Zo%=v&gpU zJ(|S1avhY}bG(`BlH?due0~v$5GDm*1h3Mv#R!-1Uc59fM}1ltg&XzyKtVatK62Y5^oQLCXihr z8l8Y*=9!^4WQ14aOyPBSwvYfg&hFcqu2-*a)X+?h2@b zP9m@Xk-_UGaY4EFMH0!&_ffm`U-IE#VceB2AB z>&czh!*y|IS5JFF?0U-6hG$X&lrd}<~;FGDXn?wVeSGin6dLoVQbpD--&HdqOhwL(l?H zVxrUv`G4N?s}Nl!46{_NWk>EB7T6{h(5oI5SMPuI`{eZO=Z876_Gsbqz^ArTx5m91 zFGM5kIux{aOIdGM6VSfH{3OTczu#uM2tQWGNnXUjr6c_4sA=WFF$6gi_dYQ0RB^`bCO&0(snNE3qX;J(%fM7AT%-CMFF)XG+wY$XUjyu7FtamBVe!v(=+j7 zY7eHd$4Ws8+MKA1JW1-?hb!o&_i5KD)HhQm$e1}eTP^ozo;Yp)Gz=O*(Kv#ef8U`2 zMv8G`Q`@ydDd4hQePodIA(qXjenG_)!%gxg1lPED*FAhQVUA~2^yjt>&htn+m_8CD z--8qN{n=TF60^m4ZNug9ngGXRqdZ}@TME$|N3`@?TQyNvG3WEG`pgm8Yf*ecES9=5 z0VpQX$Mp0os7y=UAWg683gC5<;v<3T>X?Q*WJPf!EYKwEf45IaBawhR+WWHWk0jlt zTDeH7W4r?9gHp@$pD6JQ(@YAIVJCansB*Xmo$!-JI^jbgDn36w4#Z<5F8bCi!%j9t zWAHu=5C~`b2lL|Z8B2-=GVVe)@^Fxbh1o@TIH>d?|pb%Ee z;jiwW2Jnuo8px=GaQaZur^$8nOJb`S4nkc;jplFEaUbQ`X1-L55-^`9$3Ls))7Hv;H~%fy z03g+GvZhr_tei8 z-m6LmF39z;e39;CbFoNYJKTLw=`-)%Vb3MOmyTxtu@eCb!|;(Fgn1@|(`0Z;-|=0Y z+M8lsA8lC14r<9Vbc;d{eW|>=it?AKVClp2oENeQm?r>L1SOKI4Edi5q##gBzvB*T zTpE@xOn4{bLiJ0v>OmOF9mu3K5U$sFC*zoGiw&yPYReTAv6M~W4Qg6`XxTQ0*ZG}{ z3T*HE3W++#DX95Pvy5m3J_xE)TbQW84a6ao)CO*@p_HtimD3G2-%^98ke%591uRKNAGsS2{Pryd?^Stc)w#>qvdgY-cO$ipL2 zP5fWp3(~$hr6yQUtH~Nr-#Ld-2WYa4RS(6t#>k*GWt!t^V*CL|A+ZOyJrE{==Kd@S zlwi_s5wEe7yU7i%im6#*(jZZykA>lJ@+l){+sKL4oeIo>snT|8 z@4Xsru@L0; zD=IG|>V>fJy6U~Oj9|Uz$hntarPkZnY2(&uWVuZ7Nic~PD3V1^zM<_DmeiKg3-uMXxnq+@_lIT6eH@X?6z3haN}6{=6dpGD9N?S zR;zd>b1VKr#yfQ`Hf40`+r_RVLsTN)pKUrG8So21(n+8CE5m!?d|FValyk}20j{#a zaCnYd2AFC{r?%r|{5oB3;n11Bi+)F^rdumN?Dy?)W3fcBU2afyGl}y6=Vh3T@n|r( zGtglq6tJr9@hVYo$Rc^O{*Fz5m&zw7ECUEM*C|Z5%6W#=fYgu1A9#+Sp=KbVL#CIl zPRr>;7cknjB1SgV@nJ}P0ZyRy&-j!=Ki zrH?x2jxr2dW}O0ky>`K<7glx5d8W}SGja{aA~HGv@_dU2$5yhe&(`j zyQL);NkZC)ke~+z1CpDKbm)XmI|<)B=^s}HE~pWYciZ$&A7R`Cg&^xDze;F~1SA*Z zvaYY0&3F<|lcky}+$|;x00o#T7lZP|(yI=lcGvT43F{WgL6QPOG)_uF>&xp*C_0=Q z5dk(`(~D558YUq^_yr$^phHU^^btEyY3 z`)oU2P#qgw+oYsjD4*^7ZK6DvormZv7oa<#eCn{^LLKgu;g$=qy3BUqu|~W7kF#+! z&UZ0LELZ>}_IHKyb3Y^z>8LHp8Na1xA^wBtprhT^%B(A7eWlWZZjtkJ!J zOP|qJBhcn$M1ZhH91yQJDbCRRh#cwd=clDqq=zD8BEz~&&wu}BHChif)@#3}7WcA|BM{>a4WLC;{1Fy7zaN<#mgnf;|o#wYq_b2iF zlt?yf%>-v8t}4)uhSd0+fhN;Up*{5|{~Esk2IE@MW^7Tg6#s$7eyL8&B6@u1{+$Xc zu0Wl8zR5YJ7+m!eN|t6?VU1oL(|423^D<7s(}J@fgLs9@(`%!9g&WJTH%Gxp+s-l} zBQ})HDWYGiCGmAf%rB>1Z8{fp)Y8=!ObkORrGG67QSfgTFxI%hZJrYb&Apw6lEsIA z$w8yg4aMs#C7Fws0G|;kM zmTWGG*s(_PVi#eJ*7@0Ku!O>ez2NQ0>WP4QD}Y!^mK+ znm6@GdNy~drZoe=H-1&Fw0K%Buz;7Ho`7KP|9w;+Q!mnIS$?JdU1s49(kp82Pn;Bb z743=7l}nt3f@%z8tU{~GT%$fL4sLB^Q6HkM+MC>c`-;_?-nO5wK# zn(_867qV$2Eq2N`u9oN4MLy>!&V976ICpJ9aha;S4oAa*!Ix5q`*D*HcaY=TP<*F_ zOi1Z$8}fehR|06WzX-QyS5e;gpBX9#dYw%cy;6%>8=KWPOM=8}IIt7m515V0FRey%tokjXe-6?EdYWU~-(I09e@bH{F=a1sALv zg>4gQGQ1q4vjaoyee-wTYu5NhChv`7e0mzcXOt>JmESX~@auAQJqoGx@+;!Y?LMf6 z+P9Q-^z?SMd~LbvvJO0cosq7A2;&?^A4cl`{URD3opkn7;C&tx-L)g>;0bcT0cxBb zWz@MrT@CcYG)m_~E)a!*Lc)=Cc^kBKDR+QxENvXm)jtqwHi^396!H)8q9;x~z7&?) zV|f0)5xrDCi29$J#H~JJ^iROPQ^VIu1_N>vpHnQ;!24`p>L&9YL@zW+mbHB6DU@UV zkZ3s6YBEj%q{B!8oy}XSnN^#)I>I-JGFZ?8e(>?n<*oushRRhND&=GPGp=4&;aPQ~&H zb?!H-(}>tVO+5p89UepbGcm}i5uvrOPb~Cr^p*8^)2RD1*!BL^l8mg&ADCWMsfXw2 zuQkytMg%E|cM(aObA8+0$wWKh<8U(Pr8mMV~pRqf#gHOy@qzF779 z2I4ou4{FW97TSr8cSJvuLW;pwgZRj%b|V)c`83&ZYj1{*60BAksH=KJtzP6#;PJnBzwMh-(JX?EO_Lg(Gei@BLGRXr-H(=0Dyvk0 ziL3A0bDj<=*cNXE9R6)1Q=}=WS@Ay({#TPG;?hOf0|I_6DdG`@o`**^GwCxZnqp+Y zSopVuq|Y=kwRC5=bYltBQU=k5DbXq=W12af{LGOH{F-o_0s%NO{Uh={di7=T8fw7v zxY@fhm)3jr_PVwiDvZyx3JlTMO=co+6OP4>_-F>cW(X9PWF(#8`RQSwyeVCv22+MX z&ZT*$c!L0Uo|<~MzkU~<<2%f zjlv<_o2CU>$-te6HNcxl;23{;^XP-O7qM(aGzLPLE#sDrw)DGJvjT}JPtZzy)VA%Q zmX&D7%31jhJG)vZ`gz1P?RpD*Bbh5-;Ywe-*g+(;Od!dz%!dakA8aEi&y)3r@hj&C zlKk#R(73{Ww#8MNTq7(V{k?3}E2p8pdLHSk0EcqiDw^u_o5kf<$+7M+3LQOG7dGwIlWYy|7x1y|nj3|gc%XmrWwML9&(|^3phXY1 z>t0h|+vFm)O3CbKw(In(PafTm9+;m#=6FjJsSorA*~YR+bGvRIeGc713oo&S2cm_> zb5Qc~Z0ceo0+Pg*jo6;*kMf%bI#FSTyG-ctIz|y7_)gc@I4A}67-RM5x_zd$gLMs& z*6qsBvqUJ4DOIPLY$m?g)Ij^NXS|5)S#@pzUYL^?kZWen^_o(ebfNlH=WoUNY{{VU zLooIYAQ5}M6XD>5`E7hqGTVSh2Ld#J5(6w9GRO%}21if?MYhc=J%+!-G2I}N8tyPaNg|j=)TSlKuK23_P%I0dP8Lt0p43vG;esKhC{5KuSuM_ zfHu>DvWlEjh8B(%J z^4YG)7F*(Pf{Ba)>|*A3YJ5SR3WDFCVDyJ_F$~tziac&Z;c_u*|>{(JYH1 zGF-Y-6IczY!9RWePkoFnBxU$`_(yZ z!J2L?GyLwLzCdqqZzQNeZ(BEKpGMV#(M#AwJjI=W}I$J1R3Fw zGRV-bu+tH_^)?4NSSqxfE*!J6k02?_{vST$&G zfca*o$Tnjh7S{R3*04`kNb6>FNJJt}T_`*Nu}W+NQ+8OL#_NZ&c*jut!H0?l2bxXE z4zSQ86o?g54JC(%Qr4?vVXi-5ht*|UCfr-WPy*|y4n`yt zNqzBL`k6LGs!%B&AjL%}R%W}fm=K{b9aa(cL-Ct`M6Y$ZfO_;eCN0yzfn>8%*d9s9Q7AmaZcdH!~OId0tuzs zdh|Lv5!c9^)k!Lzl?PMN&0h78? z^^Z&W9$ieZFZkLQo$)or*PmfjpF9te!q#%E(k3s zy_+yNPnsxR=jkFEj`pF=fvPJ}(53a5<6QxfDz!3zs3?0KO2S-tVr&OSS`2#lI$m8S z>eYjoWl`Eygs}nNA2htp5a>QK(flG9d|jtdmX+grok_@NP~{3x0vITc7on7JsM;f& zgSC+57f~08RETk@Z27cSP!8y}1-C~b0qBo3zSuC)YhdA2ZJd&(lbA7n!{W*~uV46O z5wm$Uzbt-h31&$gL(19NJ9>n4!NIJ%w_7_S97=JxQ>!mBB)Cc~?H7*@{2FZ)=^~3O zRAhocvbvcJ2lxd4g}myR%f+o4o4^XU#n#DsZ7#D8N^MP2_}qwzYsUTnS{ys|$4IQF z(y)gPH(7Q`g_&A`fCSb_9^Iw#qF?wdG_>_U^a`ymG-or{a#I?mD+AI8I3vQO$NgqKu5mj#0l8sr4LAW4aMIE&< z#(b1iw5}@cALy2G!SueQp8Q=V0t+p^t&T#$hWEP;@0SqesXCNr6nRhfDIyBSdZbanTg zs_MR7J<~Jp8C#K=aWbP$WJGpE<~el=j(9{!NFZL2z<{tNO9o*f0pbB35HI`+Y>*{n z;KGYRmJvc2VaXVYy?*xIYwy?*8F{LvyRUTbbe)Wd{TDm-UVE)?eV-RwaD;T3jo3u~ z)x|^4HhU4U%fQ)*+gh7V<{LQ1P4~?fPQLx|aI&}A1r^iHyb!z#!>e*$8oos#8#9b1 zlmAs(eAE&&Q-R}?dfOLAx!y5L4KSYx7kQGg` z8}W9tUFDbx$wQ)yDLBH7Fs%MiN=k`yg*OK(>Q0#DY>O(CqfWQe) zr|OSy;16h;`abk;Ik1hv?`}$zY3nJfq`vdEo(@N6ep?%w0s{-b>QuK-M@)0!O^(jr zd2>bTgniq)8U?>yG`92{BL?rhrRT%(sC5$Tc;RC_&yU}AyT+s8c)V)_nG=Fi8*$B2%kD|v5DLf`SAf`-1r1>14U=X-?C>IqH<&MA z@7|%9TcbfU4^Dyz2%@=rm-QS50W>I0{4T3G3XU3y4ZmeQw|@gCoph_bFk7unB&}IM zcpwF2c3Q$YeE^j{FW$tfDKI{?PE8jiXk7aY(@9H{1l)ei(|3C3sjuZzzfpg}Gryrq zg>@=YJFF$5I(fN-lV1j_1G7&}iv(JIdWdGU$>spB8h;MZ)}J%e1vd%JrbZ^@}w(G1Iw~>8w5IsJMmVkvfVf`YzK&P{2 z^b>A+T6&RV#LzA4=LfaK@+^tx6fXo{BOb}rF+xyJ9OK`3U(ce`@tEOqLW_ejvqQ@? zD1=19`lj0y7}O5*&n_lgps}IdT&)kx=9LEBCmP(|p(;KMgIg31#0_XGdJ`IHWq|a^ zn1p*1I_{#rsTpSMSLD)5XP1Hfc#dDYVFh!H7a(h(Ax^SnCY^tepFZO!y-9tMH9{oe z84C?v#d9Vk&}E0hwyubU(d7)O%f(Ct1Fw|`F{?=QF$ zO-AX<&uI{-fK0SuWXbn;*Fbwd-z9)lnk zjs3COp%;lGC!zMUD~wRp8O&f_EZ>uqXJ7a{zxts)_=`Golm(b*_aY$+JiiyqSm60x zG-7>LuYevMaLY(ii)tCPm4EwRy;qk&a`JmY7;KY-zj5ReZ^JyztjX&y9p#pSgfRJ5 zYh}-Q(nHP|+(5kBqfbp?Tbx1gAk4T|ec%+8VlF>gl#pWgg z=nhgn8p!)*M|_srQBtIG0l&fEw+>6cOVp5nU&N8qEC<_whMLf;R1^I#-D_XC=-eZW zh2XZ)9Y@e0&?aPxooFUi@1s&Y;%hv+U0XXCeuJMJ0%0LvUT?o;5B9l(nX4SV0L7ZE zc#en)?&eX1jH<`sST`r2hzUFkBsQwWBRg@D;8_iV#dl|w%?5D-bEea zVpOx#WVlFQ(*hBY&N><40W4*1>ywd?&$|7$?okHxJjuGV!#oG68}<9}QIfxjzL*@2 z96nF-jY9{SQRgZy(^ztMzI+xPA4d!W&;uJ2Zr7EBkF=46g~u7CK!h;sDT4$o95tUqLS2_evvLT zKv1{i3h=`R(Pmpt3xv|*atKW^a`Y))guBp5EWO4vX{fIzr^g051H@6~dgW0Z5%5QS zE0CURxSYUjAcW2!LXA~&bdbeBMJdyJy+!4EZ8-23R)Sl&sUjZomg?|hax3IAQ%hs6 zrtAMob~?iM>oN1slX80n38?WLumR+lzDhLQ-_gxj;{sFUlBh`krb(|HgYZXq`lRK! zirfNRbtwy|b4%?r5%Zvnf)qJlbMi`yLX@eaR*&)d`61i)oYxn;nfhTLse5<%nWoNp z)jhVA*dABQm{#aepJmK~CCksc{S7b)Z1T?7%k9 zXJZGhLkOJ%L-{2owz=rDh25I(6ZTH04Ky(!@Usn*p??*w3QZs@Tw zwttWd&oe#ZEO{Ljy{X!r)Ra&)!}Q#MFEWfEas{VhLbaoZ^wcpJqO_{vaMb|<4;VAz zFK9nRj9F{?*kla+lQk!~P3*PqZ{rb?JkUt-e^9r@9mB@ zcE+-pT_!hXIvN9q$018DVEpq1$pS;h%RIS&2*)7o7~ezexP%WUeUp%jwxzUXbI1Tj zH4rkO$b)$+((|p%i&xtm)OmNv0PiL9Ybuq-nDC3nE&?QYnEP@`*6t&9zI>YDC)NM? z%TJyWVC|p%fzJW&=eG$Gh%X`Ca#~zxUBJ_-DMAmsL5_zCvr_UYS29x{z-3ZPnGf=K z^*CgPOIgUpg(ZeXuDE`84+YC5SP)*IXXcHP4AwoMHwRSs#u)T!jczb1NBaaWASsY{ zS-8`D!RnUzJmpK^crq__bbpM>ituC8-iwv+(177x`Py6fW7LrmmC~wz7%cZ%Ou~cQ1-YH+s`%PEVUD^?>2Rf*~Cy! z(-`9Y_BKZp@{#@+QtJzkwKS@ByHO0es{18m?;f~AD6_U6L}!P7+7>+u=f1N;dOZ|8 zzxKck%1j>8-O)1MW;jmR8ZkwAL=jDXjCm@sL2@1bYafriDwJj5)u3NVxQ6klwTj#F zd!|tCaOb^Sjq+w`p9TSOlgs2G*qj`}b`5eX;DbQ^t@_kU_8|sKYgZgcfdohUhRnYf zO`f{G_zRu?3;qV7$+NAD3{GG0Kn>ja_w)NN@9X=T*5lpUIKOu<~UPjKgxYGcklmR(G9-4+@~#2SPvtvR0Cr}yLDU6z}!lyLz& zN|UdRod6to*-g{~(Fjt`(9=EaAaAH<=l|1+3^4hQ4m7|U_f~}$UUKw`gY=eRrol$$ z%W$G}4G_RgE6xCSM*|!Zk4hsNKpf(IKmZH62N40@W88h`$%ZALu5}U;*g05xh59`% z7UBbG3I_nteK&p85Q3eW!peC;Uk#rPzqFA)2;?793RhjK!Zh3J!8Z$6(73c^oc}kp zk(TkbaB7)DKRIZ%kTUK+yjFbhHF$f)VCD2wgdHWoet zT}>T?SqZFAlis#O^BIaXLj3vdu9e>;4#KcVF$6}J{?(Q!VbSZd<|m0nky?bF38PSggKcHa4Z zS`x=w7g=G&kSXf}-QaTsSI{ZC6)k5jMHlR$ukovTV zsU}G%W}~{gq|^ysh}E@Cbd=_UUZapG1;bYZEC5P+K&8N=>Yr@I*V{@zK?^U_3^KJ= z)rTauh?$T^Yq9UBGxml;=)+K+Nwd~)pn>%7@cHxMlP3}t29Ei#3{}r@!oz)Pdi*o@ znoMWf=bA`zVOHR=z$W%nfZtV}I8(;MVyot^CV7>o^Jk%xIq(4GKtsp@H_471q#VQ$ zVojT6wTewEzDZWJLSDqWD0Q??)#nzsh0ww%I`(rg+NNOx<;?qm!-VCif9fS!6>5Q3 zBsAcnh^a*yJNyn>R*Z4;tg~D`21AUqm zpM3Jc^XInqqYuUaya}&=wc^-hZSY&VNBzcgzEmI6&tqtxjHg`(ezYcLOLa6gMnC=u zazhEO6u4GXZyg9!y(wNCMm}ENpzJCgW9#K1+6&fX1x!i2GSVE zYcM_$>b1h*6a&!Q+LXqbVh}yr3#ay!qb%kC%fM@r| zT^fh66i3HzRvw ziyv$08fR!*qe?teX|Jsur93AM6=liz=w(~Ank{GreV$}f*a?#8F`+}EkHvC&Cn>Cb z1QGTTS_Ylv959lnxE$a91^m9%j@U{IHO-1bwPJymezUW31w{3#7Z0LokrMg<-h>Hp z@nt-5%NtDir@5XkR&$lbmD(V5H6$43wWY~onkS1g(HyQ97XYJDGbe#4RVAC{;$XEy z-^meoAJ?DU0zFYMV4^f|IjD9+esG=M1&&i_L>~|}f%;bB4%N#ioyx)D&TUbx6{`Pa z1=^-6wk7IPZRTG`wWpN zlz;cVPDC3)ZVmT9=(ybS(CP5Xlw*PHyCd{o7DVqcQUxwf1n90D?o{ir^dh#i0}Qw z_d87-lq8|M^mp^AT5IAw#{3^5XldKGYvQ>~M71fdrJ$KpkJ^1x5S;`_mH%P76vJxu z+tl6sV0}^-%82eUenYH5ZF(0F__QbKSS=Z9Uagm;6I)lpv<@ur;UekM@wru`z2nQ3 zy>{Pjx~$?jGOF%j+E;#(-Anqtd;*2Oq)QKR;&AuEK)lY1PaWOfYybsdvjaHY&u zL#i&CWvqD9zNh@l(6W8HEq;qOnnuQE4NyzI3x?;E5z1z>Dk#>f!wxKAO%8hA<+LI)QWVlCVkM27MHp(H(h!*CYooz{ zSCNHHm(9NzMxSVWO4?!qL>yDfxS{rv&q9~SBi2^NFnPN1#EtAyg*RB~#SX*tcA^|E z$3O#?=13@* zz}7dny5Lpqd_X@3RMYh(J;lAk-Ex4LDx8?1YX%DpZrWYk?frZE$Md;V(9yU;v62Y6 zZXQz*x?O$~UVNBjfa}HG7lZEYp_-b8yt6&mgZ@seU*ic9^!YXf{olU+-JpQai*mDF z#AeS%OaS_>k}SC@(9#gpMYAqLybCj6m{C-nrhXSl&{6?2P03uTfNUjYDR)Sa!l*uc zH7KeahSuxCU(4RZV8}?)`~B1m630sb=i}KDj?W=?xl`3;7$~S8uY_>yGWVNWRVk^X~lb z-3I3Hw=ghaKaa0$op!da91nPBZXS;JH7dK_MLzpPyT8xK{r%VP?J3sMw7#4=>&t1o z#&B2cXcNJdU)~PMK4VUEy*&dr^keCk}Ur#k_jU3&yPXIi`G_7{}UFC4Em z?m@ZuxkQ&6;{V@)rsu`f(w!SOM5ohglW`VC#YWDt-LeSGgKUDqENdf}1lD%$=ONP* zm}yUhun1a$TQvvTrs)xGA>87F9wbR4V9WdjW!omhu8imR0$BkK;d0+WrUA~U@(MH< zaGz}|E~R!l`(cPFN^&<-nMf(+g>EGa70j%^h38Jo-2S3X0iMzQlyD2APt4d9rqg2I z??ag%K#z%{J*?Q|n=nMonuuI@f1acnu zA)-cjxUa-i{T$kQ`v>pu5^lePpRL`wW;|&A_O4|&Cdd0}x5L{T5(eB(s!#$K!!5Oj zCOF8f^9mPkJ;`6j>V?BJDx#lJp1piY_)|~s&xM!nMM#NWzt{}O0S9ptBoq|Rvk^k9 zMkf*8HVCP_e{NGzbs}PT+jJY(qTy~wx>y3OO}0Xp%4FiSKuWj=+CY1oY=wTnZAY6@ zyCv@_<2hmskrndLX@^j0@6-&w-)%*U9(#B+4%8Z&7twZJrpkIf9`pun%Iv>rR%LHB zEUYg3tcXaQeLNnYoHgYI2KY76O*zy~O7BxTv-);_g56Q+RSQ243q;agVK!Z>#|v2T zO}U*l*uY#Cew%{W59CWBQPQJY?LiM!Yl%Cr))BSasMj})*2#8}6dV0E;&sqn2frIO z6hQ!wz4Ejx19H4Tn2|u1BMJG!O(vt;1a6YlNGszrVo$#)i_?Bwnokpn>EeSd^)Tk(PvXS3lG&LF)Q}kG*mHm46v0 z2)?csEg}~%Po~u4V!KX2UGHg$zD+)2lgM()j?7F=oUB>a!#F=Cv{*jT&rNn^+1HQP z66cTIahC$M=Tu7q^M>x8I5e&!u?Mw^C+#sX^wr>AT%~H&i_7c=Ga;$5;c=^JRF5lW zFbz5<=xq^PLi?%>%-N@lVXZnqiYZ&LwxuhKbbmn3 zs7y6|6D=SXjP|PbS$dhxou5E*Oki-aqCrHl@+`i% zQE#H+pQ+_~>klSdKk3Hn02^E_x7yp{E|O`9cJC4Kt~3)n)M#oftHU1D4bd;?7zyE) zX`+VnL9FcH3p(+rG1%rNPfmSEf8Oj4b%3d+sB^pobx!Mt$gH3aevb>t_<7t6YN@%Y zL0xH9#It3if8YmqKg!+(tF7J3be@I9D{!VI)`7|SUME`N2IahHDz(Fz_Uo@6Jo`=bwWBeH zIF5|U*Dwxs>NHY#U%40#0*^fFF`R>sv&F^&b@YKYbZV`|pxNoGo!D@DVm-dro4eET z+j@pmhl6qfrK|6*KRInY&~|N}ex|);ozA$h>&&+~(0ldAlcpnXfE$F`h6i51dHi5| z>$;qMff_tg+gkxx>9;!X+8Z?`wjtK}@kZyGkI#Jms*a{E6w zW?Gw&lMsTHP}ABrJvsrcbULJHR+JNab~I-(M?1pQGC3MTR;MWx(?P@HPns)CjVmUS z$t5A2T+;ic>hZ6%&HPK9i$kwLTXd{zs88j;G8f1^r=}zuIs<<0e4U||P;pgKv)`#L zyQ7p)*Q8rre1Le%$_~3#M){O)QJ1HPv~I4^AyV5^cdC&6I}$un%~JA$&V;RY0qU|D z?e6Z$M)ms{xHd3x3g%}$K#7{FSbY4t$cq*5Gm*}!aEz$gXFMZZ4bfW9iUk#}$_28l zxm7ZNzjT0(2#;!p9_1*RhzIbq_p%^Q4-U>6Bf7rejuf#E_**m0dNM2vilg zWBP2YOg5R{YS4}QI>Cx(CLhaF1m<6C$5)?cODivq;aYD+lnnS3SY3tG^Dd2Y3Hmy>%IA!q_s-c52$(w|7 zis#+tlO~!3DaYYl9icaRCJlC;`IfDU;!JSlGaP@9yDoUKeelD8b(_2dVSqyqT^R(E4|P0Ss5 z(95)Bkd?2v&mJNWexIwo8;O+WuuO^6jl9T*B5K5N4%5u>Nr%3SPrlE6`DUwrN=l;N zXzq=3+xNLYmP@3$GxnbEb595{_rTfo=%CcxGkQk-QGckpt8fxGA!xt9-%fXL|2R6i zG~bw??~l79T$F-8Huli_;^|{`PX1!MP?mtsCyO4d`%%;n{PQ*wbzdwNij#P7&;3wY z_Gu&m-$LRZAP*s>AZ3R&NvPczZ>a{!lb{orqDy5LvgfWD;RRP(8gB5FWy?9vJSzgr zL3V8ogA>F#ffD($Eml=wl#Ie9x(GA1-9@zvQQ!835n*m~1~qM|?ApK%)qG^$DE8z~% z=_5Eu2}g6wo1sozn_-M9^|=q&r`lGUz6HX1d0dvowVH#V*cW`Gc5X<_qzjJK!t;iE zRL1f@Z}fM`fa?w#wK7SD%07a_QQa>V;2S&wR5r?V_CgwEFFe^(rzu*;&u0DzX&O4= zuPNTRoh{KT(x+2tta^}a%R!F?UxdHg7gF~%Jk8Vv9`1T#B> zg0F3+F_CHrs+Ag`Vs43b;4k;>V<`v)hK~Z2)AjrZ`4I$&^tXAOr>kOH4QO$`EYxbh zCAQU`&RaGDOA1k77+xECmF^Md%b+j_uWUTQ(mN<6*0q)K+=asZ^7M<_&CP zu$*Wd$!dcy1rW2(KX~~v?510^QFX9q&DvozV(kESjt3a0#wcfuU?NAPq?b}MKjgLn zG?D*Q{{r`9!VDjX1HS#@{pLWu8=w!u`zE9DXgD56pO;s0^vR27ywB|PtEly9Q9wB> z)v$&0Xt<^AvCpc$Hwo+tqczL`jHw#N{FF!wMD`$ z05<}d*ChnLif8J(xoOC2q#9E+=@@@EO=d6v_*_`u!|+MlWy#G+!dGHeLj1a#WD4W} z>x@ovtU&dqRlB94xV!NhZ4Rk2>UKF#u5G1I6g^NAXzJG0Q`uFAh#TDTUW8B^KH&rx zi!;OyhBcCUC!1xDRg~6C(15jYQxNbVD;~e9SuN@2GbW*sJV!tO8HXAwj4RahoC71E z4DIcOw4_}sacrW;;r=4P-_C66hP-`-Kr6OB$v+JZ+pS}Ox8YdVDBP6+mBf`BRM}ae zb`bxHRpV<}Xd1=3AoomZi zcWM&h6s7EZodJ#1PhWl(9ga^Vxy?7&yI0%Q+7i?U-j!C(tBCKKK;_V6KT zP6IWH-kz#uaa|uj!gPFv#NLn9SFcaoU_!9amqDSa!hHzUFQfji1~t5ZDCAfAH+Wjj z&;R=#p8=SS<_k??1k{JV|9~29W$)z&LMJi=OYz|j4rW=bOhhvgj_<3c6s3-QL7et7 zDyHhhSC5LQjYkL^kMXI_V^~7tF8J8ib^P$5 zr|O}uLzlu*tj-GQ>tdgwdSBhdF@qT5= zzMBN;JpnjE=^XfrskTV3E=~kDIRBf*mL) z74e;I7*b34))7a#n|MLnJb^SxiSl-hpsxr={>+7sPR7GCSo!}Y%6nj~0SaC?|4Q*WUefKI z6}Z+7vk!6OrWyFVZW5S}4S*sG*1c10pU--pCNx;)Re5bHoW@iQd{| zH_@%oPt+6u&MhR<%kY!JW6($S-yMGh2B~)%4cUzv7InJH2I@VbyF?!(fmTmVr!5AS zHbo@vMA036ua*`FQxH#)Xja`9{W!`7Hf%pf_D0A^8ytl6K`6?o9T+pw7P8g1CR)vm5n?s+AohEQASES-lp?oqNqJwMh2v8Wg^H5`Y9y8CV7Q>l3Kpt)9jT~xB&4-41dF_ z#z!4Y859d9W)QkG;A8@b1fW2}S=wg5bT1IJACAtW7mps^(R3DKd_HZ-c(fmFi6zr_ zZDmdJ+rL&Lh{;%)`UkT3)^mL1F{6o!#F)(UWD}>EUBRwFiW&&O&RS?lzWnx*xS*ID zbp%^10DS-;L|DKGa{`jaZm8+?3dn9gE z?M<6SuR!h-=kUpnw5=T`w>@L>mnW(z%6JBH)WlJ8etdq?8{CO=SsXl@<;q7kb?av} zZa;}Gml%>Aq-G8nrN$F!CE#iVT{VFcqELM*a;~UkcOK;xY+ZJR}1P)D~zQSsWx! zMWzE_b`0i#i29EQJrN@uMki7KPz@hy+8;zG1jt~Df?i*nV7S7%f@x|x{loA3fxKtr zKL8h1rhwmEk?aO}B(QT_OVl}SE~1SpUbe#iU=94iJI zQ&ol0laOYz3-k!(G(3*5(47U)+Ry^u+*N>~4Y7k2QiBaZ1X)Pk$7_c9{u-VSfHN0& zp#Ti~Aer`WT<#yuL=;VsZ|e4cd#~=~_6VqBMDAID*z>r;5ZRYa zG%g`0H--jliES4V5o}0^U~wTA9GwnFlU_hn%E{GY{pdh8Al0L@0i8Xs+Anfofl?QjY7;BVOJ$yoE>70yJlnB> zxvp@J5?gI99v5_w`3QCibN- z)!{N{8eL~-5W)Avy|0QseaePsCFug)Pz&eBruyUx-c5!%6WXn|ecxH}VwV&m>!{*t zwXH026TttKXiOndQKuua5C8pI-m_yG#ejsl1`^CEtR}AOx1wd>fZ3WBp!P?@+7mL` zu*n=mE71Q{Ey{1yGExvNQ9@!q8qcRLssX$J9} z#yEs2EO)uad?LG2GPk__C591H9dUW-=T?jQBYsf!Dy)6x6EDzrg~lef&XdNVCQ9k zJj00{i){fb-@t6PRCfQK$+yNdV71O~t8g&fz%%J4++ksmwzEwD0Z>oO4%1hxx0zP# z+wMMY&&ndEUHq|@;&}`|iSu72;)`nsxFMwvbhRDB@Ej|&<%zT7;mP@U6!nh|@1Gz3 zXkg#{)NSWW^~-nJ%*o{R^hh;xeE-BYvw&0zx1F+y=w8QrqGYp#^$200-+J4}$CD9A zJfGbkom1Oc)n=DR)w1t+Ytsop^=OA1xSA!MbWrL*gpj&|$GEc72DBYM2a?b;o#3;l z7Kv%xE~ySr2#xp8*EY}Tq52&4c@mgJm)gtA$pJvOh`77$3L~L%^!wnZ&;VL+-SkY+ z7Iv<7XQ<~>li)`j@GxpKeKaJ52i*E0o=j{4EB_oxM!|m_kDJb(614h_5>JWwsyK?6 zHp*TSo#zM9LN(i)e01U%|9J?w*><=H#s(;(ShJZwdGg@-^9OKXG80((e9Q}e7Sb-K zlaZeqLUy>0BI$EfZrI=k9x2a@us@UOLjAMHQ#f|Mpjc*uXY=-Nzt@yTs6SiPXVr73 z+xQhfP~Y*^tHta)>012*hyeoVi{OFgY^Vtc$kx zY=F*na@g4WFV%JG{NdYo9_H=j=zG-p&k2{4k;>IvU7f5snYFHKcFU!3pKgFT%hB-BsU>pd)^Mj*c!s zvy^V*60^IA4wIWj?rQi@U#Wo>qM<2gHNvP%vQikX83$SUIBnijEsqKf6+fBk46N7l zBQKc>@2VPIfGk=4fI=S9+D+6EQ(J427a7%h_}*F%Sc+P24Qth1z?(*|3Q8Msr=Rx@ zZbv`(Ey6!S7LSBVHz7dA9s=Y=Gx~!cg+$7t%#t{-dY$Nf)BM3Rk7VZhK{ohJ^!4K` zU9ZtmQU^ZwjDYjkfb?)=X@1izJ`?1gZ3TTuFRP}UX9^ONa3s7W-j{1!3nC$jPpg(H z58T6L4hC6&a=1geCfEUk4>1}tT{@wk+P@nPOK^+6O)JyyUTx)v_HU}B41Rka;EQwt z;ru25_u~fCHh(Z`nnw@Sf&}}Zp4&A(VE8aSAa_U#hoWEq*L%LAJe{wFocz0yxUwqo z2k4orHA*e98}cTP&mpXMI^IV*{>9U0ZzUh^5>#oF8Jtjlx=Sry%X4`BxsCuwb^--F zjWfuh*XzSWBU0sx%Y%XkuM7K~S_0aP?W*dhwcJ{NmnPkF%@@%jamXBXYKi#ve1rG2 zIm_h+3N+joF`{2eiXov!UcFQdlW7DS)!?oHcwVB%dpc;0x;MP5BUJ+yj;W^1F2%3$ zGFCfte3?dXUZXsjwonYqh9`I=!`MbwiHK`jQg7+C-jAT;2EpK-JxV@8Ql<|$;z2i8 z@Z!)`38u1?sVCdnd8?l4Q?odRu(p-;t*mV|b^eKaT|q>x zkUl=z=tTz=&3DDzwg>N8pxPSbChs7&={NoDWjAXxS7I>MK(!1~Ile5Xg-G;}TngE+ zZhz21%d#wHm&r|oYRdS0bP|2^_~9oH8&oQ4tNj9T0nI2gzHZoGykTs^Q#B}Tnh3YX ziiN9WHv4x{lZAza>#EJLx2bHChO5E|9o6@)stTah{K@b7t?LrHyK6%Y@)m?!r_b$9 zb@Eaw;TrZkShHHQ<*bY~yUd_=PJDSY&(%ls^l{tXN{45M7|Ncfb%mJJjM6u_kO2aq zh9{^{(t%_Q=dOh5P)d}yJ7`~RRiD)96CkTb?umrPHO-OgY@^1yUOo9X{Wb)mwqf;l zg^lj8f`<#hZ_Ir_EdWGX&8`a(aTKW09pE;ddruj2A};zPp=4QO$Zw#W7m*OlJ706; zbj&Olg-Nb67Z$vXSL=ope%Tn}^{Y39Kb}pxq!Gm0vgbZmL||)G&wm2>H3MKFrzVU%IM(h?Pt0F{QbK) zvzaCuRsh_N2%%*DR1FfGphnE)Y>Si2U7yrr=*|NVl>|Ec?Eo55B3sjlP~dANSJ}l|cIw;g$pv&ob*G>-fv5J*?|su{u9vq} z*W7hp3Zt`QRLY*pg2m94ZlySBaV{|g3{1>tWAh_?EFte9Ssg?DK(7P$l`NmHbT9q( zA9VmiABP=ib!YoFPi)>#u_Yx5&TdwxakijgACya}#oyqO(ExTrPIt~+cG}Nnn~3}n z0pt2liwlAbwj&uzSm26@p5P6m7G*61{8 zsD;ktZH>L3Wi()zFCzzHDKe3BTPrRbn%L^Ox7!rfcL>@6saG40E{U&!13eb>1we8 z7hQJ{HXzyDta-0RA~SJ@T$9Pws|w~ASr&z|yf*_u5%dWZ@sdB`hfqKL@fnp4>(al_ zP2lKb5E{s%kF#RR3+?eODpIS@LMIJ;c5i3sN(8zgK(sT2rK>xuQy&=cp^a*} zyWw*`zNMS~qPXH^^V~_7+bgc+#yC3+*b2_nm9j9@W&(css^w=2;KZkDj(MlEBj7dAoZzT3b0o{WoqE+QE*V{hwn z09JOQoh>Mjo5&1Z@^StU1zk{J6>?Mog@;n>|2Yn3ok`^y+ODFX9Z8|xx4RTigU^&A zHH3DTV)HA^t2IUy99g-TKI>3GHxIa>2aJe>>IUr<-Tv3OVBpqK|E!T-29-q&T{*oC z^?W6k-51Gq^sA!0j9wyG*09o8TYPS_3REvBlM6gGstbB?OjgAV0*^DbU(D3O+-|CB zCc)Z*lxaG357b3-8Jl=wpZ{FVof~7bav~#jQNz`dy+}>QJ5}|CeSTL}=#$P6D{+^a zUYf^uRRpngji>J=5#wYPA|5v@kDhMeH7quW6Ynub46WF3ozT zO8H!t(mEEm>u$NrLeDt}y-ep?G&w%S>qvDEsK$XFaZ%i8=Ob6&7y*o3Jt%t&J+a1$@o<+*TDdF2i4wd!50D1gFn;~F2U=eWiWZ8#h%^XdwoC9f?r%Gu)IW8$nVq*?i2Jo5G zi!wAIf~*HmgY`Pur_;Sk?H;n?Q~@C?%vqyuawG#VYqiQ(uq#4y+zGlJX$Sa!CI+gj){sQR3QcZ!xh1$ z(2Jy#vK?Eu(A)nPC+oC~-#}9DX!N7zEKZn!kMPDuJ5D6$R}^USlkz$AkG!2nr}s|} zNwqdm72UH=3P2gFxATswMz+l8^!~}Xv1YpEo!3kxq0tz!9h<7=d)|Go%i>ziXhdzR zPg^ZSgXrk+{hfA9Hjo0`0NQ{uDU z3C8EAXM+aTup-3vM2ZZa+^^nNKH5TLN_FEgM}{G_pbGJ(1QnzF6X#=0U3*L?CVS%k zyd<5b$8VC^vZ%7+D!xqPpqtKSRsl%~=+_t(=N1)<12?O!VEr4twMzLKc4EEWlyU9M zVTOvcR4@TXt9cm34jbJajiObw+?MkU1+I20b=>}Dr-#^ccQx`Ntm0Bx6O(iOu0&kH z+rgc%g3o#zVn*=XrGgQ`k1+Ud2;)q(?2heb4Ft#!dtQLSYriS9rR_4z;6HBz3uwe( z=!}w(;h8InMOb`kk-bS5cX4zCP`_P>!8NpeXgDwh(7Z+nK72O(?8|3@Hvpm!6F@c- zQP%&7D-1}l)i6xz)16iYemh@m)t;_?*w!bkgnE{An=VN|W!$)Ol(DG({{M(9+qxh;w%lTH>i`71jk&m^u zNUfo;mGp}@fbC#H-E2w?f?Qv?h^n=>|KdFoTn0v+ev!=wFs$RVlQU!h%;vtODd~L3 zr8q;?#4CnMlyRC(w~%^4+|pkZt2n3FK%A-53<l5MCw~(F@afI0{ zK=Az>>Db0MTj0~=)H~PjB?pOHLSrOw@$+4ve8UKbm^1SnlI#%Kyyk~1^bF zL#4U1Id0Rh2F5Y9S4&>0FG{`2d|s+!_oaHLy58#&7^3oUwbv*(y?3Q1lanaod{I1Q zU~{Wr*Ta=py^SA(HL(Gra#ij$-mY{DO`I=I%P5o@$!#*?YwDa4&u75-rL%`$dVB1z ze`vBO4ZBt>UJo@WKP-`_$5Ir)ED{97NKAIiV#1j4Vl*jo}!$c z@RO+bx~Km4vAR{Z=J56L+2~BSVOueGeTAvnnU*TBDGon>Y3`^sfENxjI_c>O^m|iE zJ;Bn{SN-ZfI*RJFBpjY zwVwnsE_r7;ZB@KcQ^Mzk;*PUB!_;f`4)3M4Xf8!>IpgU?i^| z>IkQ|A%I!%NMGY@0d15RbWeXg8T8ur07r?sVGTqxWCq|;KPBc$eOxi;raVKPRIt@I z@uJ8PrgxDb*x2f|1(ys=tX2Jl9^pS9^~A`QF_4s~-S0XEFPA2WTRNa7SWlL zPeI4D^WTAqZE=al3DtiMZqd;|rVQ3Rqt*w7bAmigm3j6+l9mR2Q4RK@EeaUo(e*{K zG_VGzX}MWeAk)ZiR_jQbN-0*YC9vFvJezZze(|GSunmD`Z|` zdjl9OkREQKU@vyVzyi-(5ZH^|0I(1pfJ?6{k}K`gyRlyq>GhXuBn83&j!_<$CZK6l zo9IhjvH};s=MfOpd9u1no_z192=1JZjTkjnnaY@|r+= zWeRTf=t&B(H3BB>rcqG4=AuBF6iPu4^1RR`jCp0r#fHHzRjNVtZQ_^e;hbLh9E?8g zr2dk^Da!%}%jO>Y?NR$ex?vi8WUV(~vv_uyAUv#0XgTj$Xm_wW_k>ofD9|$x2LAkc z^yC2LLL`g%IvO9C;}}8%X2q)Gh%O{fY3#=jX@6^OJ5mhz_%r zSmA3%giP8qRJvMC{B$32#BK`WyR;9DsJOxVdwPgWkt*a6N5{x}G-=U8{M=E>mX>0T z7%yZS&SPMYtv1D0{R`qT{mFO-iCw5Jsc|T(X=>3q$$W7(jF+o;p7soZIPhBsajB{{ zHD4%Em2PWmydY=fD)dua6;PcFVWIRwh_!>Bk4K_z=k6IsXErr0m|mk!XuX`|xHTS@ z#1-+c*7#@w^9S`@c(Oby02r{FhgXNM=g>B1h8PM8zG$K?T+4yOT8_mCSGpr= zb8@N<_}5dARi--~Dp~L=sac;`4ww0s9S=-VWUUL+MI=bUWz|GosSMe9FEdVX%l0U( z6hrJoB+KE%Fv=+9QR~%&jCfVhb?N5tf|#hKOzk%tt=#=3eq8utZSb7wu(3A+^c=?0 zU#|p~#KO;bla#9=dQYkksF41}hDE{!@(kDvvZAmGT|SVBuIh@%X;+E(f+lX%4TCo??t!{}Rx(&8ve7IZqxZV_P zY9KwJkDa(j?vqx9=D(kQ(2U0fSP1kx~_~C^2zbIT?;u(Z|en9 z8%&*v$wB!ul!Kx^7j=|2XD9tP2`b}mb#E|j5`(=R#w zk|*1ZrM-kGfSrvP6L80UeD1lw0}c_|0u^>u>tbfETBW?Gf@KD6s9F4H)t zg{+dzyUQ@it{9!bE+eu^;#|0#4T*sInk$YvK#)0sTpU>;PA79V0zpkEAGTD=Kua$! zaDM)q_nNS1V#DePOY@GQ-C<|35X=c3X!ik_k#Quaf#$cuV59}C;N!yWU#hijSkM4U zK()WH)RASiOz1tL{jR8x3mxlNZXmMnmio@a_#V{Du5C}WQ{V{QCmLoSzP?hEwBp}PH(VuaIIg|bIsojjLpq$q_MTi!< zOw|le(ku31!UG3^kQ>coH6H^TXwb9Li&yEai2Bf^h|I|b@_KwJK3TnU zLV!~21Naj z2cF)$=OJE9=nZ}h)kG7$8Bwa0Q?3571~c$w#ASWPG;f~2AeTpgD4l#u5{5fiRVlWWD?Ay2hqd=hg}sl zH{}bK1j@V?j!-+1o1#6xRE--(U(@qY;%~$Ut11~nrD~Vj0-aY{Rq8%mv;HBBJ*lyR&Mb7yAl zx{5JW5PE}xa2a+nypuOExAn>d-2}I^B1_5CUnA8;tXh<%hHEFZtM%vXm(V;YdOt!V z7qQPS6eQkO*kEW~KGX8vC7FXn!KGRqoQBY`c|zG`jvgY+3glfRwUUz&d6adS@&5h$ zhT38_OW@6S7(TV)sZ~acImbE`a=(#*X7tNJkG0XT(;LlNVp>Dk>m=5QZQPUWRl4GC zSd#tOD@PrS(5Y51H;KP!xZGGCapf@&Abc4A(Ve8(cDkV3WzH-$aiic_U}5#^a24J- z$;|QpICu1G5Ibd^V)h?ox@zN|F>C>r54+AB9z>(wpgrB7$cIFzVplR}E3GgcY{>hm zlWp*UJyaJZar*UUoMV8RZPv{$f*3NJtma`C@PC-wdZ=HjNe8FTms>J)(^=(N6G4x< zU=2J+yYT#6%eMpC%f9d|OBOi9>I8*}p+Kzzc(7p0bcP4`RlzZEk(6b7ph?Z&{~(x! z_EFE z8rqY9)COFO=7_|?VKICe2ld#0Zit%a31kPGI1Al+Em1%xVzwfMvVS`^YgG}dVb5@3$K${-Z$8BIxUskO4(@Tey{Mj@f9Bb z;eUn4EwAv~?VjHeEGbvk3a&UwykOd>uJ7%r@zXmReHR^TTT}LXX-6&J-FMTsz)Opi zVVpobIwy8Tpy1i-^)-HWN8j?itZjO4F)5E5C*|?C`{F{Y;#*prw|}b6c41D@LQuz{ z*2BB+ig63F>IqeMeMtH}<{>%j4O%q@GZB)~Ds+K>5mj5v5Dzrpp}3%>-3)Nlxannb zf$DIGny)!&fWfcF#>>4Cc{*-jl&R}IAg;kq+Y!VTH073J!5U_aZs(opq!^@>FB?6x z+)8|~= z6k&7PZ8w_SKaDOlGP)Ij9B5I8$maP-Rge`|{H%5kx@veO#?deZW|8D2aSs9a*-a*S zh)lgq#vNDWn;BYnji-J~k<3|~k#Bxms@@Y($!cAcF>?JEYc0zGUTtuC+|fhg3=XA5 z0F-P~sIQltQRya?5P|D_YZO7Q5^z=df;@`^MrOSvpmv$Sl%zYg8U)p*)?ho2kn%07 z1%u6E;6(3$G7p#%b3oG#!V6)DrHzx{G|Y)OfgDFB_}Vt*7HQ9Pb>QPw6N{;T+LMZR zq)4+|amOe`n|B_V=4I*{xz-P0M^W1zpcF7V44|_?TZp|wxMSl~jqbr+`FYxR{s3ZL zaIAblc?gsxN{L&8W{FOel~s4j5LTbdJm4ZRT7`vXY8lN2b<{HFhsCq9$Zu9nF)%B9 zGK}WiOilS{s$Sc?fb8Du*)m2L%u3{#&1%R+uyC(C;JFnX*k31)=15IE2_64TLP zqB6S+CRX%t1))y_7o;Ah@R5QW;7=0H^~E|2D`^xGNM~z>s1yaF-{?t6cKjw;O@pU; zF49a5s=Q5`%0O_?1MP}bIS5_tcQ*HQ?1(M1OGjJ`(-Q}eM=7*cly(=Fj@gHfEpyKJ z{QOjGm{MhkXxf=BSfB-3EY3}_j(+JV?L}BnJGvKCY-1vE8yv z?1s5cN~}7kG|`ofb-)7$5Vu{@AZ)=X#SIB1OVqz-%R;R}%EImC4`OTk<^`8Tin9{^ zuNK$^KW2rcMGOb8bCW~{lj+SKJW9&esvPv7*pkg%x~fv{*9D}N*v&fTSf>LpF)V>p zPgvH~LjSK)qTkKnJ2A*H?cvYFD{{p%45ATD5kgK_sQ>&5o|yOaMxVn_ zY4*C?zqgwb$df10b4c9MdzighdGY%WI@s6~vH67oeAE7ceWIh)MW=S|sHEX->$mshu1mveQiO!$#@? zpb2!c`rkr_iZx4IjsiTW`bL3196)i;Rb5LwN8*{nB&(z)pK>MBxUlkv7=?DWlA8QB zyeOle*|6NkHQZjhc~cfQftV()PI5RNL(Bor>NHFg|)6`3;HmhC)pGP0g~u(iAqO^t<+SS%0#;k z2$VImm-Fn~N!$r5)2NQ9rAF3O`P{8uE_JWA8SL`Mh!nZ~+mx_D4W;?TFYb}y9+ep;eFON#L&6*V(cx^p=1JN|wCIK9|h9!u%2<=En4HwXOFi;>B z*2>p?`yao*KVJry;HudZUW!W{Fr++;xfr^kl9ELT`uWucP7h%8DDP-JwYvjJN9bK zOnu$TfK#XVG|RSYb>VnN&TIp}hscKYj&kc{U8U^6iN;5hqr>)`*v7;e-Wzek$!sj4 z+c)H_^V>{P7Y9CLci+-DDi4L&9z?)XB;~l;UN~4gwPM{+l4O-Ea93z#6K?a`+Cxzf zBo}*hv{#>;_{!LX-ZG=Z!3Rtq_2wYA zPB3spzmg^)zoTig;Hc7`@WrMSL;kbjh3QaDfL_P~@J203gx0XSOZuRiZ-0^k3E-4$ zL2Cc}>Enp+X^R`-EoK+Tgxb3C2%ka4TJ;(2QRK`Y%ZiLqzW2DLWl`=ud z#F93ddHptEWs~fB^oY)#fVAg1=*|DxPARE6K|_;oITMTw47*;7{8b}pFgcC%=b}{& z_B%9d1+6X;SEMg$Y>fuChnl1nI6U+b(-+GA^$*X^U<J&^Cm zbH*}E5I<<~TAYnh;AKNWQ)7qy+TNskLcSRzpowpF#w*G^*{EGc)kWFBV1-r4)1daQ zqSOpq@K5IXnkCBulo9Y0!(1wGIf}1TL9sFe(#_3>zI|>pPKN`%{pbgi*I=-KIK}&& zrBL||fLl5GI4z54-urX|E&@&fZQFPE6H5i0dtyFBh_7h4dPqn7&I+oQGF7O&c8Gx8 zO+D4uF2%(vL5ehAHg#tk-bO^VYFAO+SvS1aasltZd)-aXs8O(?PhWCtTk6N*z3gt7 zvUx6&BD#RkZR_eMTlOVA^b{WYvM%20<2r=h@(6izhLPILhWPKEI4xu=SoCIUnT?-#nxm(Ft?!4GeMY(H8 z>p&ksrVme*vmOvQil5RL86x(tXPLwl>yZ6usE_*)s!=29?ocPAmBUr)y84hPhqdF8 zJl6v{aQiKb>fDCgf2zi^8z8~s91y|W3o>7u`_Z#vn^wCC@$~kD))?!Z`m|Fk=5nC<>#ZbiXc(+1;oj=AtE(57CBb=V{LnC>B1S69V~0QkdqPO1tvTpzP_a!s_7eGkha0o9Qg5Y+C1!|WE7xqF~ov_!^ z_E-uh(=@%b3caq}R+6ieI%I{Zr2?>x#6BM*hG+-9wQBqr)5T4vNM62;O@UlrswwcH ztk!Cl7>SkM^WMw*FJDH#y#LEz{xVY6ENnIUsitT^>`8Ap!~njkO{aik&6@p=Hh(oc zC*R-Z!2#~@dpvr}t=g21zP}B;DAVZpd)mC)zk*5_>vVQm2l~N1#=s-lzbeU+8iQ3! zsDPrp#9^m(nB9T`=AuR}6B^0*$GQLlb<((24R`3oWT^k8W=wOUZmy7_lnGR8-$NRg z+=i1)9Ty z-j@Q@{nZ?mrn}71Xc6JYK9_yc4gj7$8_8}Mm zY5`2{N4-SC*TCY2n-BOMUTFh{<;tXx4tf=^WNz?JK%jGMe&$$mu%KeQVXYop9Hw^4 z@(xvThxTWfpa05x64-|UL->Qs?wU~XB;=N?=Tg+961+6|lSzOl??q?oV1H&={2BI3 z1JJy{XANL$&{VFnapX9!8DI%u@=d>D6M~O?83qBs59>a=se4zeufC_Oa zS2@_FY)PLZ($pSAKSGyuQbK4rUfAQfZ4A&yX?A^j3i2(CF!Gw7W&LH$BiXl9daAk9 zN__`28Fh(?IERcb7UKc3Ex?f#7&oT3jwR2_=f> z!0ihVJKPLRZo7%U$7NbAdxH+b1UicK&@D2IqiU_F?f8c|GncDqVqz)?qK99(=!Pye z%&zJiHQ5uS{?i_GK6LI64W0rEh+I z|Kxsk=s{xxFxcSvK~+H$I$Ob(1fdR?tiwY0cQeE2-qi}t%4ozZ6+UjkAeL~z%sEA`nzdzG7&o6p4| zgbo~a=2pXe38xM%X@Lg>^it4owNpdyC#0VJH*noh=jBCe5Hv4BcwGaaQN!@*i;q73 zl%dk3y|+@^EljwKGccVI5EpM6r*5F68)-S3-;uvD7%_$?5EZH>z0SOHHy?P^I7%BT zl9ttEG;TGmLPf>K?#Ag2MfkQl?2c+%n_$t;{0&o<)=YYPm;LjHx5wy$=0lUAG;|mT z)N-yytT9DRY6RqJ$`ZU~3;!N&*DQ^o^XXg;MAe*CJ7cs-=BXvJd3f6K5kwm{e9k;S zvtO|O7=s=&`>EOu%Y;h$GaPVU)W}Il+5D9FWigQDc9F))JXOX7fC7~rd6kxG`AZ?_ zk*+F3k6K;`(f}S<;;Q6p7$W1~MX#R@dKMpor}B9L0UW;97^HEz263Wv;GL|^`4-?f z%_*xGOQdZE-Yca6vCC!pN}0n>IrSvbx*tj8kmTyzss;oQv52Rf=gFI%fG`K!xNG@el4X>DxSIM|t&j^m+HznBf9GDss4EeoRwu>vO;x|e;~Pata|Fpz!{|i)7yhO! zioaMB5Oe&a0peB-z}zK>G;HTm-Q}$z*{fO^tcK;B{ZP`1B;atl!%%EYOa>? zOUv-FgUq90^IW8hSS>f3H&OrNPu^fdSBd%Qx%!FD1CwZ`)*TCsOW&Ax^o*~m2UkVu zILa9pDjE0L+l=D~TlVw@;wnFTG=R8-NMAiZi7ux!ax>i`jG$k4I-`Jg$2WYMEpZ`*(1oy(qb+^DfC4-Clg$bq@Nm0H;29z zBs9O#3ou$zbq4Mx@)YlD?y)JRHx+CDXxS=}$5yp}qWSi0bbNZAycvy-W@G^F7@~Cv z93XwQ+>a>GWVH(Z5j1#l&Gsb;YDW+q z8#THD?A&?0Rh9|)!SW73Q0)>UQ{22KVd0w!_Fx<`1@^RWvu5ho&MzRus@+okWjwXC z?fyXqslqw;O+Vs_aaiA3U#8fCb4y*Sdn7$8r66OY59JT)s2_bDdREsjbQ;wfx`H4v z9OqP%q6hXRV2z*KPV4*Jprh>~%nN^bYwz7#%@8P-C7isus&EVc$ovpb3p#)j2aGee z`lRL$tSY3pYudY7Efo_n@v-0IVEg8tFU|2dD8nJv5pT_EP~-5GI1KYg@>)G~Xocb7 zayB*jB4)nj0W9oxt_5mC2Cn0do|cjB0#9!k);e z1|sVkdfcmgaq~ILhp1@+!)XY(coZlH*^EhD+nmNx!Z$qJ93GB!554AZa}4PwMA-0` z?)j)wZ{dY*Jb(5`J3-a{e`P;?G{4JjuJZJBsS4=L>3Bo7zpy@`OEVGtm9CoOUX>F(Rh1ZeG&Yujm-TWcVZ;j09H zbjO#7AsjtRw%^%VDq^5Q9+Og4L^3X{aPv#ZBIr*B(MHW1LgoDolSHb2#=xBC9#h=)?j|Xq(izxA7XIFtWae{)(32tk46l zzHlxC7L87n9Oopbq`Q6lcfIcuZ#6Lh+Id-*F=^xW+nHV%O0@O$F06<3aAb9ix+-4k zFyTcBOh0Mm=sPO zW-Us1LdZ~K(*20!K^thH@{Wk7Ci))4mZ)!F`Mw{p7Jb9GH@BKY)ix>5i_?oW(OKU` zusRqIrEWQZ4zNA-@{T3yMdhB=KCE`l%ZW&EjdI ztQI8xfRA;VXjypjs}`Kb8JBA3f7_noD@=~mXK|Uu+qWz%Q3iWOvAv`D<}F7J#w14f zhnl9p@8m~W6heqQ+;B5jG-?PG@#N&$Jb&ujlk8`mV#+{sU{39P+A0R5s_W7fWx!sn zj!rdSNiV4A*AoehgwJyzrx(ZqCUO}0PWP-NYPW%0k*4L+?wyK^ij2|djiPT)fm>bq-$>1>hp_(v*oVvqHU~ z0u0Jp=uZpFHM1uBoy59j_LD1$4#qH%}A0T9)ZzNcy_y|9Z6!szutj1dNvH&hPsknL7I z)s`A4pl>=g+()e)odV12(W%w}l{|+*Sd{we;`~NuikX|~=p#qEj_`;ZkUY9fhv`1f zX26dKq=7k{4CXf?Dvvp8P9m+dpxI{NiAXlHo%29A-_@e1wwle2QnxKX@ z`^OZ^SP(p-o>nY5K5QM7>~*e2e6K*48so^{y5Ce+i;GfAg1H$XAxHjsY0L;L8# zTJz}VJGSnIc(5o|Lfw}nGpdnLz>!gCrpgcv9U^yTO`*0j^({BisUBJI=YY#P_&!=s zKph+bw|_StaV{O=vD!C8mvwm$OGs}9CSynr&39?_Tqp6m0F|RuZ8x?GwcD!k<%{6u zh0RFWgQXyiqI#S7{?&hz5==cR#L_K6q7oDiyr=Fx#Lu^@bjtdiCYovxvy|&ZgO##W zGB_B6;b6km_?OyTSJMKiX_J+D0K^T}DF(n8yhW8m018WK>Z2Nv8i)gat9ioTx-%4k`W@t}`S#umX#dX^rIqXY_%z&=k(La$bEes4km!_%T7u(PS6 zCyrgsTe;~u-mNOd`y0xpYp4hhV}k>tUu*JOZP-F%iAGBm=nbR)Uat$i5!M()fQ2|0 zD5wu6+UUVDcXciN{`TuyB{6iKROk7Fv2;3j9yKwD3q6qMY4ml$^=@J!f zg^_3uM3ISlq}sw)48?~rycSZRo*VL0nyn>Xdj~l9MVwAeMn81GXAo-`94Nx%tg2<7 zDI5*Ygbr6|O30EDT3hnW2{C_P9bl4N##O!NT-*)z#J>13{Gh`OWjg2V)e;MW9|XMi zLU!7rvTK19-+q0slUDd+wRfsBZk9z)@QD2+nQj3*lSD5er?+aTsfn+wnFw%MK=KP( z)rJSK3m@Mrq>~DjNLMhPSQgBjp@kE%whokX$~Z zhQDay6*ay7wfE|IYz~2(4q`KkJ{Y?}K-jaQiXJiqr{=q-Vs^TM;wy9lJp>xcMZ(3cnI(4}WChR-WVa6+{PU>i zt%r4ASYr=wKcT}Yq@?T6+(XsmIT}jyv|{QS#7QE66G34IHgb)H1CCEnIHsiH;5ZDH z$*Nc{0jdT5N*Itdw!F^Zbpu;0GIP|VDS>4WFEp4B1efG;I?aj##2Jc>SzW!ew=~vh z`ThV2fPsCiUf0wN3= zxGia&FUn0z`(!iVG($`~+yZK8s0-Smu~DBn^Ww9k)Kr0<=W0a&!bsekgMCvP_!{=e zZE5qUsSm1TW;e*56n7zB8rE~faRMo;PFe8cA7EMi@?QIDSIZjOxpL*j+vN+j>nFNt zyzfB!k+R(^N=T*$N@!Wc1V19rt~ter!X(PtdGkh@jFm$u!eJV=@vMhYr@lcCW{jHP z^X7A9sV~zi`dAlOj|!2j8reT=2a&&5VD*nxTh)I~Otu^3=SVfl)|?)`T?<9-=EAv+ zYiM3scwB?AKSvGHwuqP7_hRT)e6w4bRNoo(A%QY$qIp2VMO}0I%=8m)8Sy=E-G@y% zxTd#p2tRI03#Q^mOZCv8k-9zAAG|GzXWGEGFB~P1JO4S^ge9xIv2POQ4bMg ziRc}oX@YR|R{TxyiKzd(ze|@NT(17qS};L< zE0rZFGw(lR&t3S2}d#MO7+E(TevU?gvbBl?rQ2T+97{F@eLYIs2TS zpYW-Ct=9ZSrRTea_bt}sETjZx1P9>HU_#W6$w;2tAsRSVl>sa>BKltxZ|Tj`IXXs3 zkJrA!ypYE!&^m$kf>NJj3J@t@T{u!7V_wJvl*&@mIc0yiXEQvlB-0T7oj5MPjfO~- zLVxRN0%vJMsm-tQ*M8udf;CtQ#KJ0Vr+CoU)RL{tSSu&QVq9+3yaB{pUaXXvT3ki_ z?PaNH0>Cc!5htD=g|RmuoRXh{O?+4N>Ags%J;%V@V@f!0; zU6u?CeVxZd!+Kznmi)JJKzyaIwSHcd0grJHUMM${@?^lwnU~2mGIhPi0Jb(7t3sWd zTiW&#u76jJO8~nRx3umfyy3fQo;oY2!MSW{-wV3qyK101{;alb?fX5v;k#;H3^wuQ zGR|9C_)y>TT{W_qVQV4xFmA4BB+08eo9cgm&*zwdrUiKC1aXp^K*rQE2bx$$9jvx% zOOxjERU`yWsU*uxoyW8Tr_6C=nM=>l&U<{a=SQ^CObmF1>!h5)PHWSuOybdB;bD3e5%#JaGjn4X}*n_N7F12t3U$OumaPG!{ zn|_lUy>DZZB7=w~ZFvdtr~prwxx2>{q;)14YtO~oGFJ1eEFo^SOqAgjU4l0^_4#5< zwL%%Y@)A=MU)h|fUHBbp{us{W@R(0DQrtJLG#w257js{3{}^uKE|H{j(2$OKVoub1 zEAmYm(z_hv`8u19s3^;IQF4N3Z~{MnKD5&2?7b+HWXRw=nx`J;wzVPzT5oe*uodg% zDaG3bboh`~nTOj2L^##i`H+ETNRY`5a;P&msM7n51#9*wkGq1@Q!H$rfL3c%#W3%{ zzcww4Yj_EC`8t`BS4Mpn49+YnkNdM)#)NxJKYOWOApE2m93i{8>9~u}M}5YO!W1tk zY8EQ`Azi+6@zX4xU8*TWjCr9N9>E=t;Ep?20+y!4m)=DYVU zp2v;-QrGTW@HG%!T{ph)ujulfi!U~u8XGDcT(5Y8AT%LJX|-=vx6}7S9=Tvvy$`T$ zNUXQn{!J0M* z+5HclHfB86Fgw`XXOwG=UWBEEp+jd*B9J@j0Ca=qL`63jXoT@XUU1!+&BPTBDEvT9^0;+of% zQZ*i0QmHL}o+gW;`2-OpqulQpfjfbJlt9-y=wfUrMv#Faj{1_g{LBz?28$#oWYpc> zFSK-lac*mIJoWmxzNP>juXbn~BlrLiojNbPa=%S+mf$(}0iF=(jkg^pECVHmQJ7Rw z&CDr!x%qg~utJ^=PonhZL{qP6GHfqqi@TLe7GrN z!y;np80?nWy))`>j0@drE6`LCSh6PA7V%kZ1 zv@Ji74upWPW*Wx<-Bj-#5p$GeV#a)^SSj zxVxqwt_#Q(H1UiEI3LVDN*kz_JN7ne{7n3cwTTMzx=fl-cAcx{9a!wQ4~^n^wOwIK zg-|)`RZfzlA=Ikn+yC(PZ{72$Rs49hP(rG+sx$8BUQ0cGxa_n;N0l033FZQV2ERkIU*qs?w{+IVU0k=a3Bp->B3EFbfAknx}ePX-{@VnOdxy;G9 z+JHGZ$xX=Xs$p)EN|oBVOe@0qtU{eg zZ#wpPgvc~^{F{uI29PjRrrz;C;w*1piKT2m{EeI6=C#H$LIp(KObSjXIX71%au?y# z2kOgYhj5x7pk^X&JZW;^tS+>ASm+&mwx=du)9V)-Nu&?^9K3+~S1p@O6iqGcOm0Wa zQq+8|tsi8=q)V{sOqw~Dn$O@(`f`80-9e(J=kl9ve3@wO!;k?KS~ovnM~VaD24*uD zdho1h1ZvD&7eZ;}Y+Q5sF!w%bv4Z!0h&*H3m84AY4P+&$|DVP;@f(1xCM9^SO_u&beb-x?m~MUuy%!qw zFVfi(wqDHkGvQ!C?tmb)4U4V>AY+8}gFKhH;njD=K5V6drO{TX2PojG2x^-Jc&KGf z>Ie$OW;d?Ck>(7{2dl|pCeZn5^o{xub5RhUp#MHRLE{P4vaP8}k!hX_>2+_XA?`Fv{5EIk1cidLHo2P$N@EU`z}LFQ~ZPTV1cBqx;Il+00mg!Y^(rv~koFYZ|A7Mqk}Tu};4-!s|CeFx$TYi8vYJ!sl6$;ir+ z1?74e_^l=lqHOhPa#64?Mx|q3yPoFyV1N5x);u;fH;u*_K7D39PmM@h1IPyR5u7TM zmNQV@G2>yv1R@Nq(bKcN4nNJl8AnNN1tFxWKp8P0x~qC!j!R7WuMSLob+#a1ZPtTy zoRBj{#yO&|KY?-(i})M0lzjb})(_*KOl(V?_V{e||5x{Jv65uzdJx?`NJioXAsdOO zpyip&WOi0%?)$FMAnmT|>TXZnPFMBR^qD>!MP|m%jM|YIIT4wA*KWKYkdZ8egaj`j z1oDfKEP;{z0^(xHNJdD=mi%IPFcy{l)KdjwLR5q`6$g>L2+**mlx5H;u7~e2D>LFDe6)fy| z)e3jcuSG;|E;2i;(VEneGIfy2qo5dRnM zZk2E085DJ+^3=c#C%9)sT%y)bq`)7B3}31|3w<)aBTOdZAQ1mS9ck1%Tu=309x;Sp z((DhylD%6Lm>8ZC?*1~>(qV@CY8j)3N?vNuOFu3=3DJbBJc-(So@}umBwI2@^Y%}F zybGH+?W+Mc@kUt{E0myDb2T3BTH3WSZz*(N& zcSkEY9%DN~>d)81Jsg}3$0v8@@(yqyS_NCfH$4ZidL*Hw+n3}T^8+^75Q-046|8EC zUoG-vmA;Q&Z&zh6dhywL4Im>-YHGQ9C+I+(NZ4kob8IpKY}$MpLV?*s@pgjVby8wd znQdYiApPN_(CmJKGTm0zPrK$Ai|C;t4uABB`3&B@7 zE5Ys_)}`z!ar4T$<0NwrNq6HzGuel*%H%U#wfHy1?lr73$l6*YNI_5x)morrh-|}Q zBI~L>TP9taRs-G(Dm; z6s3vAn(-VT?;n6EalHTFfUsxdPnv~4R*oix$MaNjRe{ThTmdkjL5$|kP$tqP`AV& zmMVqA#8^M6(xrAM6W(&9=qlrtCH9iSo{Q%KI%!A_7ySf{o;C8+F7nisTV8qW}&L(d$woJ!pzS$^%@VuVCi z(UyQYN~>St%iL(gi<)SaMUG`yfm;m<;&vNrR&bwcfZt~>yW$cZX7aw97N+7&LYiUI z`F?HZijL`r>V1;1J^LB**7Ps%@GUn3PHyUSYdodMITNPi&Z2N=oipHQMZc@G!r z5*ZOOa?DbxrA2PO=P`*MV?O0E6<<}9d-PU?;r6!58e8#85YMjY&uDaNb~>l*mN-&{ z;g$PouF2@me^y_QepQ<7=|4@DbbCX*}^h>*z-%U zTKJ&O_gLedb8o)#s~o z-EB2uE4?znjq=^6o;=rgpYjW2icqUb`R_i}wGF3x$Vs&S-KY0mqd%x)eP5`UAE>-< zDMM2-g!;m5tBu{sQ`$|l3@df(0Au`hY4rw6=daMxDONLs ztwWkv#ItvSaZS@=x=rh{uyB&|_sqyeu=+YW?ln48em-v{g%`#!E?IOjnNq&l`BfX3 z;x)?HMX!o2m{7>DmPcRb@8VK(Cz0`J$A|6PQD(VRIT6Dt)>+W8Vt%TabKR(|Ahis( zjR*8L&n^)A{e1>4e~u-U&$jQ`+&DXnzQ9D=G>;xepMmEI=1Z1Qg!gN57cKwybIHX;^g5ZxO2+y0BzhVbt4WOVtj1je0 z+2>b|rjwyPIPT%=gABH*5)e3cLs>3^V#QCM!?Ug9iZ#>>Dj-Rm3qJRueN?N#sz&XS zcI3UpLfz74C*O&v;W<^iuoKu07@YOdfdLEI%o;C!)mw@e ze{mk+`s96FMJP=X%@;wSV4o|lb4{!?u*^;CxsVz$I9=WbV0%#Z)pS8<-HT!tDTSFK zQ|z*)R19B*G%wPqKOTe^oIEL)r;7)%XCgcFARl7N3;R(|-b9~jy5B!Ojrs(@m)^&e ztxCV=I1WZShV+i|hxmw-n>xAr%8ENW95Kl1_9<8N5I+Gar?1lzOOZlF8U@jFHXGI^ z*Mt1f7< zF4t@?P)kHrDM3uWLPtO2?FLD}+3sfqY!)Gnoc|K*FHKIeqaA5b;bcu}RcCPh#m4H3 zDKv0VEb_g2vfuFT`kHoEFX1IEwAfm(lKwl243R;lZR8@p*i>w+ATMmGYVBKzO4I3O zCG_jl?n^Xmk`;AgRQj6S#RewGvcv?BWaMZP7UcxCD)Hhn;jUz+R{>U~8r3z~RRKm?Ihd z137tUC`B^C*SK{sa$RT~>bu}TOivyeWnD+=vQR(#Red+w4hhtORjN{abHe;4BIQIb z4yZ&ns@X#V=5-JE1*(@qNROIoI*Q2f3I9KT(g_r$vNKZ5N!+qX?N%4WDX411Sp9rl z)QY{-rJJjyquek$aJx0O$=A_QKv;sC)8?gWjUfd#tseYZZ^UJw?eXYdjgLpQt)p)r zWF59#{<0!J(Q#Vht2rl!b+w$5xF|)rMxQ<^eMEK1Toa_FE$T$B)!=kbE>c6f;!i(h zUrK3(W(_Q)WP?@9C<{)314=p-4Wu^TypCq@UQ?3%&kllzG{Z|A!jFm;vd&tKPqo6B zs=OQ6JBr16WFHUI*^RXJE9j)%{ZO^3dPCcIkKF>v>Vf)l+vXN~)G`p{N%X zFi&%tnT$Pc4f$z<*$G z`J{R#R0OvlHDD)ehyqN4r;A}(YeDXLz&UM49#c~B^ggJ_ZV4I{w7a&0c9d8&Z^KoJ zSeP3PE;kpl*=erCbalK5WFYk=PJSmwc^l``wgk`kM4J;In5*jcU%8XUL3hZkZoGV3^p<>A8R8iqRPqGQdlauH%97C7MCi;ScS1JWq z3` zUBoaFTwz#UW0#LQ2kJlmNwtPH8BDCzrz4t>@mSBup_!4>QD8=#9W@00BCt^FMqAw#JHWqo-VVENdB?Kl9g|Mc z?f>$TSe9k0wgQ>G_6o55{uX1iTAIvF6Apo;7U|u^oO~az9yB*tEm-FEq+B@;I;p;# z8?76+2$^TVsXQi0q)JJ1u!knXT%=$zsmnvs;;U|K4Rz%8lW*$T8}9h_e+1Z+S=`{ znW-D!`<3^5VgR*&AWYpRBBtN#dM+&=JQMJ4YDlqttrCj;Xp(MrZdW&ICSVn<=C(dl zvL>=tSU6bOFBKaOarZMNrLhZ5cXi%%k8D+btveos$ho@_Zx0&-e0rm_vt(XvHsTHs zyz1B&tyX~*XAoM1xzFJ1yq7(?o;Q^tpNRBF#UYb;26ovK`UCrIQ(;H>t}zy=A|`T{ zo6+kdS!CNKKW$+94(U-X3fdfg8j;euoV|lb;6iPj8UfqT)3J%-I+>$MG2O1&=ij93 zb&{p?IH9F|`xhDS$m{wk5tpc!tceZ*LkL(10moE@6o49`y!E=sFZ4cYB7a=+&;B=O zH?f`4a|W?&_K8)hF&x8xI#4?hNdi)3TlGFLAWt6UIsGfzmb^L5kj!XFq%raXGYwoR zY_sPQ32vRawYkir{&c$;$P7jOat*uhz$aF;N6y}jP3?(8*yQ;oL+p5tWl?@z3zgvC z;VDhhQU2;tBGOculw|SRDpzLsh2G7%A+k$qF#u3NufH86JkJCmb2OaTU z_PxVW{C~(2;4-G1@_V+A0qmcV}6cIjT@H@eTEb{`XHP%E3N6OF#wV04sG?2b_Ut1v| z0tVr{f6WNq<;5JIZ83@8W5#;*eJ}vErY>Sd$QiehEuNUazrldm@ z%TIAUDE*Mk(%9R;rm#2>)V&uyej=p16>2+XBOvd{svI@gwIUg+=SZMHLZqmqU+Pk> zs?N2pfXGEmk@_^(HA`Dopi`g9lJ>UCMK8nvaqmKD@mh6e_RC7c)nnCI zHyTovmfVqNj{9uhaJM)q!7pkYRw9qe7BTa8oMoKCv^Pskd< zojR*TK;!5!?y%@qQD&Cc4Zc$a`kXg5!7-Wj#*A--zg(v4nix=~?F+mJyo-2^W>+ow zpTm+YfKm6n3si(T4E z(2u!RHoJFs@?FTBJ@1U zO^*7mjm_#Iss^PGXjG(Qv=fe(*p$>#O^Pb-9DRM|6qA-)SgB=svCXjf19$KWopzTH z*uPl`fz4|<_1%z^M!WTFy;V|J-5s>iQFV^Jf*@)Q*%dW(?HmJC=98YorFhUYq)+-( zOE*-Jh}EH*Q6IU)4t4Pp2gGViB3dZ?caz=Ng)X33 zn4_NbEjTCs!f`QcMn?>v%^|0mEoH@)LBdR-Lw>gu@cln#dA{QXxnOMm{LzSTfWo6mT?L~ zWp|iZmx|B!4OA!Hh$G_ZZ?>s=6jy1iDJD7WIJvP*K>HD4L-TOjB-X?c@f#VbP+#${REE4Iw8YG{Ixi!R-$ z6dcjI%EZGW`KOpE4->YLDed&Yl}T--rxqF`(Q5aUmquM)%a%q}Dd<5ZYTX({=vwK? z)N%BzgA@V6EEn?Atv+lxW^Em*-?%9y#Uq(3Kh=?}nkG01`p->nLa;_F#HRQHRj;>O}?HN~ilrf(%O8;Z}R@6R)jJb&Y{< zUIz$BYMDM6rjx-G@Y)a0K4|n6m0PI^Lro^r2+UI5 zZP8FzqOXyf=FdKR9KBo-NZ7#vM?I9Uk8MOOz0{UkB-2(X`w8oW3X7k{>K9?>N)1Df zI(?kPQ!?i80Fdwnf<2{kjb@*elnQ{>tRbju$SlpHvAMIZcm6g1aOXSivNZK#w3R?Q z7D?+GCt+aIrbdXf293+V!!^|^ne{?@O};faEs|@UogvB-w{9aBE*_@_9w9yI7}huk z7Wswk3Tz6|&kWI^Dz#ys*5gIDL>P_NYC-asU*p&*DdM~!DkJ$wWg{QZZ0Xdb2xL); z^1*9NQ+7^lx=O0ANy&IV0|j3}OKu_zkk+BWhvOO=ZEU zlli&fGW&Vh)%_4mW(ULZVVwpgySM>dr1o_Y8PYZplp0CmS$>@%ZNyz_YC;ZjU8+}g zd$NCggsbEBKl-TZKU6H~7;NzJGI2czb6bJJl0|~Bf(pR_e|$IIQBU`=nM6SXYqSzY z%UQa!Z^kd(RE{wzuG1l63CKs2ywLqk(n3K_y-GiiCrkwvgzeLRX{@pM)Gqp+bHQdszqpcC}pIxw!?BGcl%LodwY9mtQ`5{@h;7AGE;jn~!US04&fIE<9X~ zur9#+R%SGZ5?oo~JQb+MLo+V2d2V-b&za}T&4ypzAaYqNePWn+tKU6iTsjSg#SXc3?yaKBWHn1$7 zUPfj9UV<|ABBYWTdOz?f=qQ(3gQc?u<1(4ha+kvDdAKG)X^J_8M7rf`6R4^}46MAk z4Kh#-hOh?2ng&lcRTuRt3T8sdq3HYJO=q%w@1=DH2(~1~wH%GKfSI7RJ!}?#B>`Xz zv_q!yKSH|IM!jM@jPM}Td1}6GIUJQ0vq^n6B-Hpt%ssN-yK$6JaNbd~-PM+-6U7Qi9{tLK)K(4)~PS}!YZT7?+B|JLwKKWmk5 zQrb+)?^4Eq!9d_OW}A5yk-GS(x0`sAq&K%~j!uGM7O(^%~ntbne=KZvCxm!|<=o)3&jvwy>FO7<7~Pg$g@M_xA4)h2xn}ZxEQ{ zX>d9L&kEpSjy`KcBkKMAoG)x_48^3#(ND_u2H)amU(v;ljSBk9G80K2)M>M+0rjC- z@GsrMB>9o>8k=!(6^8nrdWECLdvYirA&x?_nz@YmivQGa z|JFy{7*;;Gn1iGsp6pSusb_mvowi3D%7>!Df2*nR=@C7%$nZaW4C!rjNcE40cMI%< zeaQddgVl83i=LuOHS?oJvWGpV5{A^bcpgl|LluJck4^pibTQEM%1UO(x?cA*=3np+ zECybeR%wx6uj&iTPoU$mU0)vkG&<2;{5(1ycP}k>&w7}(tAz1>`3?_gC)y3Qnso&! z4yLvIT-WTGUV6<>(O3zG55{LO@uLH-KtI%T1|OSAgYSR8%g^1C^GeYCD0;VDp?jf_ z$p2M4Mxzp6rQGqg2fKKlEZ2*)jJ_z+@4wIJV9H5FsmhkI%Bx#^GmIw~zFa9FPP(bE zv{Nc$uFe}yR{N1qYw@-OZP!J*#JVe?pur$+pZAAaML9!-*t`W3O zWkRt}q-5XUiw;Qg>M*)~7$eHAr*l9LW0x%rtfMJ*gNHgh7DAPd`NbKFb-api5Wgxa zBJdhS;~{^Ioc>)o`lmS}0rSGy$M#h}Wlcx>J9I=19<(%gu*=9f^R8gHT>!Q)fWwvn z9PWBYM=cE={h)Vr``-t$U1k$jFN}&OzDTa4mqkW848P3tS)O;ZK&P=6RN>?ff+h?~ zKDgQ5!0NTAG3Za?Ch#$9?X(K`Qz2m`K@!Eh>a>ZdR6V$xR>oESE&hnEXD@OFK8}04 zn|wQ6%)qMhQU1Yu&Qt};vmD78Hei#K3wp2_ZTYIxj`yq73&@qpFG5GS9bLz(>bPV~ z2w;C7PajE$q-NcCfzvFxGNe$p42Kn4r~OaM>|tY3dc}_7yr8s52Hr+M-iH5zb8;1; z3blO_&0w&!2pI^WxAEvQ)!7pXg-BOk*lV!@qM0Ty_%Ezd1^QA(( zqaKg=0?TwrKQF^<+a{ERmMA>yXGuZ|#nYn_i+zf$RLb?YpL|?VFK7z)Sjq+sdS#wo zfd~B$Ptw9-TxHh5;YM+gbwW z0(`q*#P#t^w$VcanjO@@e_MEz|GiH*{67s8hdqVa+h#F>>KF*rE;Xmq5mHyiuRWM! z?*o!@EXErkt_^Kdr?}!-46{RBY*U_|x&IRiSF>woIGo%fZTvCmA2AUN-G!ozy#Kc02II zQVOlX>RPFK=m<#=?nB~s(ce> zZL`*EH7eqI)Z}A#CNi3$Ay*=V7tIAWa_B7IAB_(OQGYd!V~wwgQYrzw{g=r=Qt@?9 zl~6IDcemqi=Lh z3Qy9zc3XloQzWK$Tpg2rp_5OptBEVBj9JnagDa>9ZV;!q{STW20h?Lfb`|hwf)@n%-G~EvfByrOuhg@>_1`{x zHrO3K(CS7-$B029bZ3C_t$}5&!uV!;Ag-(*BOu|U@gB{{zWM4w#HK*VP=R0BYN#eJ z$Kknq@xsYqc?;xy4mO#db^pB}xm!c~7PnjH=5^Znp-19I&%TDm&5{HpL$4(miLQ1s z#ZYOI%_#j9os16-t1!1PkDF`O{u;@A{s@-LubGzTk1Te01PareaQin6>ydpr+B=|$ zbMa;IY>A=VO~L3omHM?_(#b`j<;}3Jkn6R$rp2<>s`xw`A2C z51Pv~%jK}S)Ta$aE@7?U0r1E>xJokQaScjgrwY8tWojws#*RHX-aFLczBSQw+AK|L z0%TGtIr1mQI+RalI$qt**)l^a2(S=g^7dI$NVh6qVP49=>&AwIzkr>OzI=G;oXxl# z$}kNU=DDo5AiRD(+$1A5zg5*HI-o<>H@*ip2#k^GQwA{x3YzHZ^AP&5&HpAuefrHvhNJEua`LD3B^t0>--cA``!Q z|7}l@algViq9x`j;2mh_TlvZ(+0g#w`_X|xNT}Z*?&-@91{UML<|6QK+)!4iXJ{#t zcZ{fHp7c^@h^T2d)f&!Q4m z*k8l*&IaTp*<2@yGZoZ~Gn&pK9iFAR57xnHFM!BotOYDJ)vYmRE&L^X&7*+D|9{fP zm`UlZ-E372eCNasUF}%U>P>gR2o*C?u!zklCHf$F< z@4zMc1cY!+h-uIWu}5Ws;W0*x1jdWIv7AN@>A8J`+wI)tpjJn!I_eq@)!?|@@H0%@ zwiJ%eU@emrEzy-#N)n9Y*)@QNr>AGw@zH2>>Xb-Sd9?}~`i4=hG@0koi|qb20 zl|c>?toYG5+D*uNL2+8F4LR%CxP3n~sx_?(RXD(*OKUi$JXWIz*Za_S8mnK~s=l(a zU(_Vg$Y`u~;b>&*)kTTAXuh_RfkBHSth3#w`m80TU$n|eHx_B6e%Y-gEju<)BmZN> zZEJtYA!ke-sP+3aOgh`b&{GqO-QQo)UUBgFR?VnifVV$6{Hrc4+*C2Uz8k z7gw#pblOYzkP)A;2MNVRjpwAe{IE|%xb0FSl_jl&uc5=t42X30u&B`5|vR9e9|jyky=L1^h!cSv<&_6no(gf4!oM2sajPdC~g2?m1Esk3C9(9 z0n^2Gnx#=Po5N>t5--j0_2k~+2GoTAP`6N>a!mbfwkz-=;en;IQXm$~^gT3CcLy{` zJm1xL>mG;Q$Pe&5oMv!a_{To6)N=v?RTs=_(kRra6FgKL$&@v?@QJ3^Q?k0&f>dsq z<3(6==Wa^4W2>67DKcsiSLTXPxK($@BEcjIE7GneGJ6uIw#so#6?ZaSFvA?v%TH?M z&RKeA4Q4icT#?(Uk|?TYc_mv3g?$VV)Dz<&LXASzlQ;;#!j|K)pM0JC&VsN(&Y{8A z6G>QAR>uooA3i!dsv%aHw+iiei@-`oyE$l0xQQ+iEJ;|j_&=yMzd5eE{TZM|8buQ_O|O}vw8dpmusU46y2iBp3m1GoKSs;Vj#&odQiadnk? z8DJ<(L?w zbF+C?w;=U0X@g^QQUl*Wu2nK;_3Os5-TqtT{8-G!{(4pXR4#*82le=>XHg>$#mspu2o?45DkhkR zl{_me0#c25Enodes`_iCkE|!zz-i_RAXOTzs2_D})zv@>jP(P_Al0>Ol#sM+QHGRw z96qNm2?yy&A_b(7e%wI_X&KLw4lku!)cmJ@?=Ry8L0X=tD*|jz(9ADx^c8nRvMjlf2yQtUGF@wb zdA`sEFM$EP;d}aR3_y3zfMQOV!ZFMhPRp3d75sr%@MHZ8>~>qiy7*btTRn6*>fx-9 zDe~>I({m%^NOBde{UNgFM>>~Q}HS8Pj(4r!+Rx?ZGbH68&fAj!&g$e1LYJ zM?3U+f#*`^E>EOOzRTPHopbN1uvm*U*5-O`O>MQ^Vd^a|5?AxO_w%0K(;U3cO*~y} zqF~jQeR%O@b%$ey0Q1CVF~s9-9mXJ8(P&@2Wffngb5lgYom#DSHx>D(_5o$(`n=3~ zzMK#MM0D15^q2bB*b?mSiO09?ZA-8hpfCjN&1$p32&cq~!Qb9dTC`p$6TS1 zOo}a{)W;{_=$)PEIJhYBzNk~-4N3Y?-@Vev{&u+Ic>;!~#4F2+Nbjo}f!^)Xz2RND z6fs|7pBLl)A?VvOE-<2ddTM;`65~op zN6Z)$ofV9&lNUA(dtGon#ygm3dLvGCT_OxH!8e={1jEQKg>t_0pr!dTN1w+gU|_B$ z6~$$~rt{%v!^b)sVP4VU@o;32Vo1OdpzYh(<}~^!(EJ`1w9`KbKZfgo*|lJ(Y*T_S zcLSeUYi$O`7eR9+ou|HcC3jNF1=iRg{3Y(&nz%G2nrB<2g8!;clB#@v5IsRVEM*Xa zA((cL$)Vtbravh+8G0p{8Nn>g>EU39rE7I>of+8F@bpk|lU0`T?f?3TuRTe`0KNca z^jW?jTmiiyUY)(i4Z>j}=GWGYZ&Xrjs>>900{U6u{3~_R!x~b&#woQk%-yD<0w!MTqN(jNjY^gB@7gOW~OUex*3?l4Yq|3Dh9b47HtR^RS!X73{dH9hv`p|pD zXDFe@uQ?O(xR9Phc-|tYc5-;6%M1z_;=B^Nlh1eRhw5 zAhNHNn5HYVPWs#odLr}^*d|$QIN}OdsbaA$F!#8K6gvwb6guq~737lE${7jeSETv_E9nj8=I@hR*+ z@A5KPFQSwV=LcO=@=nTA8?bwR*)g4LP70gjnR+EpttoT!@Yuz3I_>nc^)!DyyZKIe z`2f>pAQO*4yJ|Y#Kd;YW+xSfA1kVLbud>w~SHx}RGx^4<-Q%cW)XO&pU|-42Q@vG` zZ|<5De>;3OeEH^C)W_ubkQ3oUFEKu7g~*~b@fdm2DUW*l_p7{C7I#%pb436uzDD#60V67*iCqtv_Xd6q4 zDOmHV8D@{A0+v(@g#}bSU0GvscVp+NlwqcZkODfMCo4{6ak7>oB=&9iPeTSsXp782 z4L);zxF;ygz@u=dUoB9+Ia>6$|23U5IO*WW)}ld>M7Ku@a|sa=kQ>u!FT_yxD!z%M zb)0HG9Pkq3%+N-_tff>3ysW6B<_N$wAk+GI%off(I69GYD#_f%9jB|R z`xqDbHCXGlBw^zgecb?7UKNZtmnR@|;3#l4hhif<5ulk6EYM?wUXQ z;rqsELK?a%Xfu+p`~jeb5b1u_j%1e1F)L)khe%;u+l_p8&wg|z!wUshkmQ`h0jKI1 zq)wDz335G#YxLPt!)o3GFX8mT>A~UYzC;+|UZQlykt z*V&cQfe(gB-wlU8w+LyxRi&#?s)%$0-V<25rTo#=b#=wG+Th&xMQ(Qjm)-t5vf*2Sq6vx3`?m5j!p-2fNqZy0#uBGR1-)pJD{9g(Qsj{l?D-3piJmAV=O$X7O1|)9 zFXGxtp4cmw+29Q$^9_Z8QgnAZDS!2=+KP!^)UYQw{ihQ*%EE z(C#~o<5wK|<16-Hn`TB5uxPy!nzYchRm^Y+$8%oR7qekR7fB#+%zM#0FqXiYP9ruy zf6)=&?o0mN3*)Xo)^rc<8zQjJT~)o(j%r?MXBDr22>1>fTsD8qU4icUKW$>lP{FcVmmJZBi2}*c_+~UP>lMS~yZZ^&E2ZJiCAyX)Tm6(KEZ?Ldy}l zbmsvB*`|Z5y2@3#f+D{(^*h9aObT?AmMlZUPT|BWR^kcYgTPcNwW_u%D!n%<)ijQ} zuojO=F%aU6Ri35dDW>9VJmF;%QaVh?aC_xT4!u zgxOr@{K6=CM~iglfOQx(m1UD$XHEaI79HwCbAYo_BSEoXMc5k1^+HE>Pjw1L20Nm6 ztro=xrb?S6s{{_!4Y7#`t>=yO)?X#?FfaF_)jO%{$D_&SOZ9Y6`nmRe1{E~|4h1wx zp%9LpKTxe0gK2Sth16H50I(M=H8j@EFYl65{u!p;FcgAIbv1DcE)v=|V1{@RzxeE& z-W0@ON*Bh;;8@Tk=FBv)C#ty@6>a!AXRS*^Ht){D*R(+lqgMulfWIb!(Eb~u`Lj~= z1B<~$02R1)iBND#MVaHXvoSuvjY?wt1QM z!k&vULO$(D3CdI}>Y^|NzcM~VVEeEi^N3Lx`N7HI2{VDAp42SC;GaP_z!ms8ItT<> zBv0gm{)s(Pa?2pr<6@G(uPw!~SZ0)Nl^!h&i6-O19R~0A^CH#u43R$Iyx@nCpIKE? zm#%`-cKa`VbT7D?f>Xe%a@b<3IJB31$(;dbRi8-P4$L}7V-0!xJyZ?-HZLxtukpYt zN*!2#DW!oNS2qZ06+Mh|J{Y`4KrQn%%C@fF6fB7R8vs+!N z5?+;cF`8@m-M|wLlsh~cA?pL0FdUz&p*%{LGEzej<^8mIc`7fC`t}PwWJvW}Qve_s zqVwfzTWjVq;7I`fv(sZ^7qCsORe<_*48n^;4ul;vQ4vp-6mpi;o{MSIY^Ef${84jc zSQA$&w+R*ndL^s^<31Mpwy`pcu4t;S$1`!B8yj3_GPq~?+69d?f;YAsN#KByhunWm zH?buEK~J(Pgd9QYb$FYMGPjixf&U+Gcm?A%9FfrTVxT9g*hy*JSmj_Q&=FvCGrxC0 zNj*KVo*{2j!EEh){ezGAxQ(x?+Mx^<^zr^;au1N!~)v;JOLU-K#rn z_t#}3Gq~Rh8K}JNf%aReK{>v(h1q;>+gn7o#agDM+ysyN?}p1RYKj)q)m5HZJgJ4y z`^*;X$?UMr;+`FE%yw)XD7HpG|&wlVg@5 zUTa!Picj>*fzA1g0vyVKGOy%C5pQSPjL1#E4!)vovo2$v+O;j3(1MoIa{-J|91v!V zw^wDpIYN2H?@d=e>cJ(W?-8m9Sx3Y-|z zZYdyK>5!mcr3<~xjtZp77&Ojki;)gT84=ek-+j+5FGPVuvb^C`5xpLPujmtX> ztnO8*7mm$})A~$_;AoNF1YZ@Uh~vZCGTwEIKD_gIsid0x;UX=G95k#Xo^U+kN8~Ym zv%;q_dlZeRsx`mHmnnJguqwC|7>4rybCm+-ZP;^r7x5Yc_-dTJt@*||6y%9@=^&&79;%eUpaLAcns&Mw{?k$%P*W7(a2~Y*|6yE< ze0rJORAB#Mv_H(l&ov^gH^aXe(4Q<({Hr$wXZPA%^YB``MpjJLKd4YZlEOYMcUBD_ zaFpd?^bYn@c&HB}u#+dsIb-UkL2Y)zPeCcFC;Pr@<6`Ul5_yb~%KQR8zFuS;K>1Uj zILqKUh2cXBK|+wt3!qV9q)T4&gxm+~opq8_FYeENryX8(tD@*yg^zKTS|P{ikDi+b zq|dOq0z6YDUyfBgTtvM~66v&T7Xmy=9fGQ*+6OlYS@g%FUKD5X9LzbXaBt(0L(qG!`h#yyPUV|ww(Lb6qh33@z)f3r%b2$< zGnL1$jEvY{J14e$%EiCUIu9GGrZuSc7c>4x+ub))s*+&=^X7rq!*Ggp<_V&6Csns! zq+MN!kNP%MjXH;eRB4z78d?c=>Q7}sV4Fiqv^(`7zt&ujP8*i@bf?zi`Mf~rujZ&S zx6+?bsV&z{%{ePyqV$=F21*@kap&Hh=6sQrzRjAYu4JT`rLEE4D_v%H%CC3eHZ?;F z57ct6DctgpKJwkSYQg+Ao5uxaqa^~RU~U+~*eLA%=rnr0MG4pFWp=X!8&ydlI<+4Q zhh;#u=297W+^S711u~lcDksmw;&ZUdxPHco*+q^N9?^H74!`@<+B1ph6{G&~CYC3k zURqSq1v@+Mw#zjJpr?z<=si1J&o>RpF2m@f^`J{Prb|XMS@aA%0GdlY@k7sDiNUi$ zV9f#UUqT%qihWiLpW5`mm*M>Q?m2NQ5Uw5NV;8c50bDdskCEuRE=^vs1eoO?J{ZeN&SoZ;_O<26pGX_Rbk?n;(~ZS^OzMJRhRmK*DS1A6(`2fo2_9r zF~p-xGb^K{n&HB_ZbIbvR4hxyPXS_!B&IRjPL;4S+;nMX7Iw$2pZw#`;N+TCLHpKs zP6eDgCMfTQx=GB=RC5!L;}x81aNH<>MAUzL{shme{*TnY6#&;Db`Ez&^+uW#DzK3? zxR!UIxm7(@`tgg(O}y)1L-b}Uo+*GTdAa|jbiI1r0FLT zd~mm>ynS($o4W5~IdyhJMT64SQ2(0CHTRGd6cvrlY*2QDj{vO4lv>7C;fwKT6#X=S zLleIXhG27?stM6DUa^7aVN0m?j6%wO#A|%`!FoAt=;d@&hPaGb8y>zLGV+4m-*J1XG$wt;Z-e3GcDsKKZ*Jms3f=`+)XkcbXrOWRAW&fmnZS>Yp|1| z}JCG6H8mhf@SW z7gd=kwp++QVQNjfdHUOq3vUBdy7|nCH9dR&>TE<@hw!g4oX+~(y-MKN#g(Q~t1gbE z8N*^hFMJ!xi$Uhp+)L%@5>~@3XgQlDdf0pN;%P7HKS^iNi+mG3r3(jcOpQd`>=c^0 z*8>g5;dxS>zY?q2s*ft{`IH&>K*JD`KTfbq6~Grh?0;ANqChZD%l{~@Di2qn<&4H- zEC4t@4ybUwXsQXdUnJ`t@}T=FY9~}~?7UpNj>$EH^6rV+_rzqcqk|LT9qJA46y4&g z+}h=P`(J!qFUJ;(Bo~iGi>(dn@Y;0>Yt5o+-+k&7xq?frI{fZay7liq?S?v9DIiLn ziku#1o3@(jzT8ffbjx1!<`*vq)rT7pTnmT8zx&iQ7WLy|i7cEL1>s{5oTP!=r6ax; z#F?m~z8bBy+Gleg`L(C?oun1L^%Rg_GgbD><)gA}(OuhJbxrx?uzvqE9nDy{2yGiG$O-pah7`?O`b7Sbu*sgX`IEAco|1h=#Oc1xS&Qt4<8cQyYOTs zkkr>d8E9a(^wt{hMmxbE$n#8{)%3B=0I6RUyJy51W0-G7(`sT~wUDD(vdpKr45mF> z^qlax#@VTYtMnaO#mVYNnq(~LUYzR!jx@2FY+ei_+H;w=HCP|be#LZX1KP=nXRL}# z=}V|XHCRn0tR_wGn;D^aF3fb6`cc+_mGz~H;7C0(8=!1%jc>`)K+hMeXgQrBtR_L4 z>u9^8!;Qyy`_FuALlk*!7%WdL0kNv5*@Y57>ju$1^3$x1#RcHeP0_elUz|s8U^pFe zn=NrVng5zVT{}6q+L7Y|*NTn3vg$POTXQ0)8`~v@XNotX{-1Tlp0W zpvk>9u{r$J&hp|mblB8)?2A(Pn1~todm)2BN@84gC-wTlF|plfdVW=ter0%y6_PH4 zJIg$sAsawutv>n9pt6fO6*>l+ri(Cb8{Q)2AQ;45m6-B18+Sz|$Bti_G%kX>+&(Hw zKUO)bB#Y@y8mbJjIfgFNWqt*pA4l;5t4m;!;9tV!>tlK>u!ghD9BCkweZf41DnH^Z zOpKDJv7vHts%-SPLHhWLnvs51LH~fQm)rk=_cF_VK_4p&8t8%=AwsTnQ{#bSH4c4W z!5`NYZEG7VTduXRvhCvApUFtURb|(#a!Sz<)NO^_39TuvY6J)fApK8w8Nl>|k6^y( z-2WGEet_PmJ9Pi}gZIx?Ny!mT+5}lh!J}eSm!Yw&SeE`+fB>7M8jJqs!RrTN__o=C zMUo-meJm6`rZj<_OwiejD@u;DKe7^{Ps*k+bF(kXT+Y=?3cSu(6Om(1sG2E^@cA<((dBd|Q79 z4TtIW4~VDZMEodBPAa#)rWV#egg1G9$y9Xx+E{c|X7m?weA%GMPJA_}{#K;`Ci2r}0B0NER^r>B5q)qQVT-9Y<4FwuaP)Y)c1@AW@oVDl*7=G|LHoyuQHOuxMSJk4 z=p-n@VhmlEW*D#42Oo4GM=VW1rjEBXJi~2I&@A4H{_s18vQucKj>QIZtdS-C%Fip7M(Ot{v189vETi4h*)=7;MQEUjC}X z!+m_O#yYuq`XsU?2q70%7*;^ERzaHmKZ=$pd}X~Zff`HcwM(AhsM zllQP>GWlVNfY}_Y`!9&iXqbS>r7GMs{+lmIY1eeHC)M8wYBq^oVOA@9T$miK@fy{P zA`&&-Y_$|XyxlDFLQ3s!*7oer@%3KCHUwG`E8(#CTY?;d!!LI$4*fJ`&){`FO>>M9 zRq-=$|obhJ*Xum-&$Y?`?k~_^I$pzqw}lOs!Er? z#ay%Rz~W%g=`J(W_5%EMN%?!-m7WlcZd(;IxSL`CnnOFS{?BzY}ZDD%I&&78E?D4>+Nca+cse!6rh`!ddoqORA(AI z%dD<7)>Xh;ns-Od`*xFNM8>d3hIJ_vH%5p%9Otn6a8wBP3zT8NrXIxm-~f@lara8a0*iX#C)4;IdF$EPJAB zx<*Q(nF0Bz$80f6s26I)z=hEWD|pz0)y5A03alNYXkc1UD-G*d)A`C%LaB>3`OHMl zl-P@cZazb~a`b}LTG&%)QAL;H18}F8m#C+8A#@Ovg3oh{T~6K4nj9&ev@ElHjywca zazOo%;1eDkP9u$C!={KW7im{KjYkI$&gdTBZPRH|QFv##->MMePE^}kGL^!OMXaQU zOm!I+9bY^{@U1O2hsF=D$C)bI7Gb+^h3xc~HfzPk`c!Hfg!Y37Oekumc6$!K56BXpxX+%R%wZ_N{QpUo* zdvl%Vv)&*$n_E^f=gq;26k6nKutO?QMWNd*Pk>rAt3k|X=d zBHvIs)dKDrM_K$NUao&Oi5|jnxXsw0lj=_1d|cC@^n2Za6If~zID}526nbWE1c@Z=v0R~TN#>Ew2wvlYRxcbkFcUC8dH~6G*_9V&{w8*b}sCv3ewrjlsiIeM@B#O$a1C^lNlVM=K zNO}~H*lhA;bkL&%;|i~#1?!1#ny1t&g>KMLQqb#xT7@51lQ5436UjE|!WQIJBiPa4tw$)Gm0Y#^Z127+M<3<^OKn%eLy;+=^4__KlM z`%79xZ6W%HJfY5cNc0B}Bi~!4kHPqP$R-PZmr4TxRDE+oPy4jgDy^V;WSLhGRA#o0 z$2BV?Z=mOg(E=V2yqYV9D&PJSpHy+ZHD&f@yALx1b1j=&))tN~xox2t^C0>qzvk$X zBq`aBHgw#HT3!-gbL^Jw=bOa###i}j=w_QN0#uGb@=ZK~U%iv~?mMu_aS@WreX}?TKWQ$BYbwAzr@BY2V`y9{l{`LOmIL!53&+~I`-|Kswm$|M` znrud{>z*>B13P-Dpn`des1RR)ipm_m43t?4+qk%gpk?|aXTI2VgY~Q@qIP}XKWhne zuday352~9d3iWj2)ovkA6pfg-hpZRz_Rj1Wu~geG>=E(Hsso8p^E_7I2I37})g*T| zU%9c8xn=4ydD~e9TbaRj-z*v!SVwO6`-k-TH_@9`xoKKDN`8mD^4AKxH4kTh8SA8f zJ9`^{=tf#gbX&zM0pJ%T#CT1c8F4PrTKwm*@bZZ{#?*zoEE4?!UikyNSGyM?mN&c{ zbY1n+vYFixNQq=!giFt$+foGd)XAJl@w=P-<~XkkhXI2OlYagBibuIzTXPNkoDp}o zm7nyT?NG6)im5Ug;O7#aja@}$G-p+*pLnJe2~IAL({9j)pWQzf>$$(_R8$=u9NuN$ zY%#n}N$Tw?<3{4TANuHwsPzKq8YCWE zYp0TwXB`YX`Uh8xgn0U^xK^|C&~x#x9{85$yrBsz!-ec=9rk!W?gQ8EnQ}|6xUrq; z?kg8v7hD}0*zZt8&BS77==;>D=Gch1qvc4Y_Iz{{ZT8-q(t9TdXIWNCR^7e~DsLLa zXLq^Pq^@#%k>uDr9tT_P$`%FW<3dzdw$_r|Rwg4PGA}R&%&>dsPiZCwCnXtXNB5j0 zoHQ+Vyw|n*TG+Nf$>e#QaolV;dyku<==k-ZZw>8i>8;C*J9iu}B{fXHJ1KE_k8_FV zJfFoQ`}36|!zuP@B5H=-ZaT)TNEQ1BulYphR;Ot9qS9OZpV_wB+PGYq;YE0a47k00 z<}aqg&whPthQ37POh&w&bw3L$K>ANxVgqQdW5=m33m$SgbBdG6mhC<(+Lj zcH#BdhY43d+j%#2_A>qu%}zVPY?+4Cqo$dop}n?>id&|pM*Odr&fPG&m7H_9#=ju; zlI149(7wFh_0Kj!2Jaf=BJ|F1mqft$7X!5DPRsWh=RDj_WvmM|?%P~gY%ZM*Xn3mK z%kmy(eOfNl#reb`F$)`Nf!Mt}_c)2hxON$oaE`)zhTwR&}~@Lu-l^%BC_foR7RyPCM2#q{UGMsjpxGM%{&zA zQs-8xSLkZ#2Fk)cgD09#-HXd{Pze||5pfi-aJyhV-7fbsw93_w8YaEe*nW0#!CtFA z3A|Cl>%IOUBl!5h*Q8nav+l~Xx!c7$`kVKZqVB!iFL0H4c6pd_P7A_0$HrX3X=1*% z?`RiADMII>a{H}x7Vj|)Q{^y`c$&4*4Hx$z?!_+lU|OvU9oNEA#}SvSlO!^7%X@8k z*Oacd-^oSHjtZUeFLyMPxX<3Sb$`p{VIP{ouQ_ivT~#EY&1Gx5QuP+)gEAF#N0T;N zM(qeFYeD(y?He`HR>vEa?#mu&V`v#j0PADHpK(QCp2<^T5ai4A`w?CAwJRd;Ta7ll zIE17U?|xdFKM8|$OlQr0dTHY?>B7YGlF`QC==Xrm1oj)&8JhvP1U|25x8+ZwoFl`2 z;q;i%ZRFnBU_*r#67T7hUaTl2?4DEvn_g05_W3O_gM4Ab5$hF-+e zDMP#R8D!w*`MOS){1T85NrMUj$Kk$JM3g3T=w zQONi034>PY>r72YU!19RQ>O(&Bkat#PcKj%_djH=t2h>@P%J$r|5y9B?IazUfTzoTjf#-tn%OTOLl`Gi}m%={|vVrSa zkq;M5tv*XwZzN^3ZG%mTemw9Y+-+_1;+B5l$?DsSmNuqg=8>}z!qfS5#hPikZtsp* zc}S^ny78?#8rEidtarawsG>fV(6Ac~yuqF}=Az9-WKF_m^)uP{8O8UezLcFQjH5BE z2#ec#v_Wka=d8zW(x;@R2ch2tm1rDolGRo4PkA=hv9@nNG50)&MrYS&a}qko@cJ#| zChZ?N%w>%Gu(sTqXL87%)5QwNv-j-g{0TD(I}D$wM-K6w<5FRb2cC03<=E$ua{M-X zX`Ng1qiOu!{?u?r?r5#nXq3?Bioj>W<-=MpFAqLtq2b^<^9}9qRpV~%^l2=|sUM+l zA~~Hkc+cF}@br%P3{^}Jn62oZWh0waAqOYd2+p#IV1ZX;FVt$?bU}#5ete&k5P+Ut zITy>R$E&^RGONQbU$4#E*5BTt%r2jxW%T8Bdw~?eD_*PDoY#5N8sl6ug4_Sv#@=z4 zMS80UUF1?cguEA~i5l&*CX{rapyL%I@j`qJ%&8u{&lYX9KXkW(z+P&(0ycse#`WtK z^4!^cM^$7J_ekS7mDW+93Ypqkcj{ z>8b0S#tDv@6jK92m?a@sRztqzOMJ^#l1edwhAcY?d|>zbnGcJ-_n+KOYtXBpST{|klIYHzq6EiEHbFYPsbClLPC1e57Is zBW>mtyAJ9V*B2bqvbvY@n;_RJ5?Iq;4bC@NvOL7swm_Uvotkwzee$t^haVbW`hJ;o zDV?dND5-2Sd7AGCpAU0a!*<0Vkgu?(Ig_Ig@X5&AeeHPAs6jm_9*N##R)v}q zrVl6k%@Czarjp#>2ruV%Dxz!c(1KjrIWJ3MDr04|+=Enks$`uWW=Vg4Z+g)`oFiv4 z;>t2>{hqa(VPdXL^J1qT#rKGpR2574d%!!2Gbdvz6yiqYXQ(5b*Tvgrv{y>k=5NFZ z2_*4vZak_9b<~pPE!Q&B>!9H=vzBKI+BDF;d8y*A-k>bIn3D)~|Jg=^`-j9Z9m|9Z zv$G<#d%Z|!fH|+X$!U4nFCR2mAN%~4{0dn zORaC#evCj%FNL8n`frDPSNV)%hr4c=3Rw!TMIZ9MVOrr*<_ai4^YdOE*yx?)}N zWn%cNGbp-{Aoe)H;%A6v3Rla;PpXe1X$l^fTctI$Mf=N$eRx=*ZYw&Sjnm5G&ibPvLi`KkOSR4V{(Pw=yjxea%aK!HPUiplj7kWy)QaOLZ62=F%OVFpN`q6V2r55gV$46%nGQ&oK>PfDP&rZ@C`OvsB*@KGN57&)36dL01Bxdb@-LiTmbP)pmEXm<7_C=w=CcNJG z1N!I*ssN($o3@;p$JfjX)+X5mgkKTY;JZ)vo_;7^D*kHGAKjQ>H@Bc@AL^-#2JZ$M zR&(S^sYlKYwMuDM?KOP!2xDrSjld4s3J8q_ZxJbMhYOxKFMA1Up)smDbHi*mhmt3( za-XM%^zND#pSD{NuXzR6XeiE>C5_L!A5D?|>LPVxxN8D*K2XFLF|5^myC$fqgURS} zRL;D5PLCefdQs(y3Mx#SiOK%6%RWMGI#cTWR^BKdm3L|4qxPc1Y>&D&&zkLKDR`l$ z`wiiV?H}9Dosugm+dql#HGNakdy0aIf~oI3)9`swrh0ZJ2BxD-M>%CE1S6>YczlsC z0*?ZS$J_-8B9}q#gdax&4CjmlxuZZNpoaj1BSAzz>Jv;7AM-aR3eOjspbogp=I=5g$MlgoWWeQ7|~klYl%>6`&Y0JQ5Oy{hMa~ z0t*WxA_;&b{|?WAT%dmegmH%hliYE?4D>f`AwhseJdvUxk}n<&hhZ?jfIZB-kq9)= z1@vn!$Qw;^0TJ;?I2wil!ChbgWD=4<{L@%OHy8nryX+}0j+BDC{j?GRiFYTE$b5Bi z2!J*TNjxwB%nOFbz?{$+G|89j9Izj*@nbkh5YVW=kMjRS(g4=|qkcRfu>&yyYj~lF zfY1Qt1Jes40O(i%yB7@Oi3DLiF(fn|g9iN1$rl6>R|NfVI%ydY!1;%75<${n89p*T z7k5u0(#0KvAPRv&7C1DC+=xZOh=2jHfEOzOro)k3h(Bb(BMESzdf*HPXrP`5G!pO- z5E0ND67+uw1tR%76bM+7?|;gigeGB-zpU<#LIHsQDBz%#jFcRbNIaSdiI}1R!});1?h-9lt`_2ZqICkOz$1320|D z4v-XvCV&vY#9y$}ugivcuno>(WK6XlM>D}6V;mM3pCAf#ZSa|&}MZM?sW_!S0?s?*eEEvo30!W zprwFNUX+rgS)vHWcY`9sk7+1exq*;$2+8ScWYlIDY&^mvg*-)S>ngu5!N6>Pj?bem zF<9hqlJp!y%8Xsd#|m-w+CwNJMM8K*so9 z(LS+!$~L`IuU66R#kZMcmc=x~C&9=QD9JL0PWczg+rv!M`RoN<3=^rC=O0=va*Bve zr-z0&l|L?3XRt}rjt*O7W+{v-TCKHLZydfz!$H>^*_kz34pQPc{Q8D<`zJ0f!iWvt zKrFT5EVXn+ISsb>X8mr?2m?KRbU|Sfrr}=jJVX0Cg>u*LZ5^ESQQ-xtZ>y$scm+x| z?B0JEjnj_6ui4xVH(D?{ME~kJcvwd8rlM-cJpR3jBRjRAViY59YSExfT%UKKEo)QG zg81~Yj$RH;pL0Wxm_#fTRYg9mOn5q_4OV5GuTAjoD#WI3e5&i9onkp8$!D7{c_()M zeR#J%NoW3*Cg+~tia|ltv_S&vmQ-^c>CWe!FeQyk*L#4s1>AMtn4&;@2WyVRZ(L~*4tFzJ-lE1zn{ol zenU|fd8|8;x~1kdC^Vn50z{qnRFdauww{kAbxmVzNScOdvzoR>fubby<*rtgrIiakZ`>a_F|6C(AS0~|f;tiS&iRI8kkjLqE-No)6sEzDl z@3n=zZJ94>?zKUivIh8ToVUj#qTY5npJ7+vjt&^9eE$AM4c++4$3V3g6P{58&=Bj7 zuSCYbXK;>f>%;%&443*SQBJUlJ_xS`!jmUfAtD=U^}M ziAhl=DWWo+K#>B?(dw0zyP-@aK6(kt{?(3|z!O$eI$Ngva=*)-o#ame`_0yq_U&b} zbg}lFLU-QoUyB%BAH1X7Y5l%oPExw(DvLJP*5*D9O^QqKNcq>>*VGtHvcncytMuE}vJ1-9=|j4T^v1P$ zb0dO8Xt7m`Wu3UO9 z2^+4<-LD(ke2S?n?+W~}k#job=|;ZB{_NBJg%JMAo|m1zwQNKKS%y)gmhFeVl{5WJ zS4N-m%+EXzg@^ZyeXv+kRS{MWT%f^jE)r12xoupvQJ*La1BVrfJDF|gu6*CWE1!8} zIG$^(`_qNGZR0E7;<*kt%?3N(<)`@o3)T60-{soT$gjzoU*}4jXFfEV8_N&!Q0K9K z;9~^!<6jQh-bVJVm#>eXp8cU(Y zY$TeEsQb6yZ={`gsQuRXI!XV{kp49lWxVN2+T}R9Ru1tpvs3AVXIZdPjwTPE@C0ry zuln$YT(uP_C%rU_ZB=STKUXRe;HGx31uJ3~csI^Zh^MtL4YWc6UvYS^pdRg-7gemE zR~Aomr!q>Hg58*Pt(%kiXy61AGEIwNW?wR>ZL+Exigu{gS5A5>dc3*PWAWTf(c4qQ z(StLoU%Gm2#~xf6O!IiE5iqXV4T|@{5VtOrv9$)NrTL4s$Rd>Q-`;Pu3u1qu>{nNg)AH9U0}?Q-t&LasQCQ) z1?qg3!^ydnUn>{8PPMi;!oGntjmwPM!QnRu)CF$*g{A?J%c89QZ#1pVMlWbB=wGV_ z8@fFXi8eufy95(|ofqcYHu6-xI;ThGY^NglH0^U1>Q4U{BE(}%WCM2TQ-e|{k3B;|K)ZY8HWA3%JZs`445Z<#h zR#?9?!ppkbr@6!L*l>44ELNpfDrk)dzjX}c6vJjfIAXtwzUT{|d(BL}lI9LJm9u0s zen;_s9i7z$FEa1aYF2;mk7<@ujHqNA`e>)q&M`kxhEcosjX5c7W=HXX*ob5%{Zl2d zzvJ85ZHLTrXCd5=__1yFs~mXWGoFUGu-~K`AP#b``}E)G)-B4K+!AOWxRvoBB9I7c zexPAY$dmdmrs$XC|X zo4yotg#a(5QaN+%VeJgj`z8a1O4(=J4kb z=6ZHEPBu|~3Qi_kHff5Z3~axVVLAeIGdI>yF}K%I@-N+@(eU{QsFm_}4Sd zY+o$pf1hfYC(Dv4fpZ!^4f9?+FK}XFJqo-&69FT#P8{*$LE{ieABP{OOCpfxu=C?_ z1KP+LkArkHIe$#fU;zy{PYedA5lKLr7^sRLl-=<_5h5cmeNaOl)B@~*%Fi?K0e$38 z%6}yUBylhZhrhP{K;{5sR}T_FKoaO6Cj`&~axZw_KReu=T!B0r85|Z#f&sZI7y!eM z2S^;cBY=DuP~ovK*AkQC3HS}nUs3S@Q+3Hy*X{X`!a3##RbHwrs2)X)cgI;?5dSDAWY_ zBY*UvP${UIGgJ!-b%v@tAGE2d{iWZV+^G3yzn+Quk2>&uK;@uc7Yg-;0`q_)nTQ&Z zd;scDsFoBkUQJdPi}AG8wv@7#F!FNJu_QU+4AI7DH7BI69sy=0?WXJM?yQT`b8*5V zFuG`OXI-qci<6ZFd5kB*%7p%H=+E_s_4tTH+sg zYij}cwXRxAno7g9$+)0sgq1WNpzmgDrc34x;DmT1E#<|L)@lcIb+Phj7}nAip?=U$ zvb8pK0ceQZm;sn|h-h0YX;&u+Q@j%ven8LC(p1~P+!>Af8+N!aFkXuU=QdB6tv zt4tv)Dar|}Mf%AH(1j1g$x0dp_z4!!4IZJ5@p8h*d%z{+f%}kveg0qJ zw-hJa&jq1l>I<{dg8)8smFyQt$%A%RIMx!7SKjxa%~y{IjPbRx){`dJ0Zh_B+1E)D zejpbDYv~J@0C1zpy3_SFL`!)axI)on9sP!1!q!^vDp@B7G+cE(4Sl7q>f*$KfUzOR zkGBmF6E@a{Kp6-rsManSD|VL^Z$>!ghDkm$x8t+ z$$}iOK>X{F;}`gt{0Lfd@fUq^nH>MWK5jrk4e$XyqOGO8D_oMykKF&;R47!Lf)xbZ q3IXmRki_74yx74a2Hd?nSiwL)mM=C@;EIua(Ri7jg5na?6!KrR!Mh3o literal 0 HcmV?d00001 diff --git a/utils/defgen/df_pantabfact_train.parquet.gzip b/utils/defgen/df_pantabfact_train.parquet.gzip new file mode 100644 index 0000000000000000000000000000000000000000..eebb251935d79aa1ed6bb81221006d17e4f80e54 GIT binary patch literal 6961949 zcmV(xKfkv5&!@niwFP!000021AM(pk|fEJU0GY` z%zS}WM3D%yeAk0X54uMHVg2AMW@_PTd^C%w(L@=~-P}|~_L{~>;&*5Cc}-+#USdtYmg<-hCr z{#B#x*7yGLtN!!)@UeF*%YOXB-{&XH+VcIoegC5CBl_1rSgF=p^&j8j{YR})tPT5Z z_4{{uG2hmI+xI{0>UCTFoql3fbDItRVK;BBT{LSHe7-gQEB!36Xp>x;+E%2u;bp0lAlMsyc+)xyrmXrA--MuaEn(F*C4;X z_;bfd@Abrg*YSmBbJ@_@#7=@e*aAhFh3sb`zypFTDRx={@{2=@nqp(THO0-_#(W< zyDljh#s5CuQ2Nee%(*5+sTFB#PtTXdOWb4soo-jWg-AX%hny==82m)UVb3wAmllD( z=I0S%!dCqMzJH*#xLk2!^Yw}oy9$KCQhRmF7dQez{80Z9yRMrZ4>l6kR~*zM?`@w1 zx6&hw#}VH=zoi+xC}{6nAd z(YZ{BSm&$eJ3J%l+g_NK;<5ks@%=hVpI%4)8j;=RiYJwhh>bpKMEUeOmd?m6s{OjM zYmFxo-y?nV-6MchI#qVk?*9IPsDUDQ!Yzx(zP*fmFLg-bq2z03d)S;5Ya{K|0^hup zC~DfyA0CMzo=L8PA|kXxWnoz*zWUCOD$b^NA3q<}JBPNo%1bp(dbROvJ>uSvZ}|Rn zivxYT%#JG2+Y9t6j|}+=3lRW6z!+;*KBb zkosnnq>&wRZYUnl3TlVh;%~Y=^}nyeWfjX2DI#|S)}N)^`!DKoH99;ckLoAF75*mo zTReKd)uCWf;#K6_8h0$pQb-TQA{y==U+?etKg9nWzV+DgG~6g-c|0h~X+w7@ekLEN zhdfgwY>#T~H`I`E1p7)yFzUWpPuR(Yb+6lRH~jjM_=%~|-M-KBn5xU>&%W%sPQ7(g zQ!!H-kL)`vrTvI*QPDtIuZG6sA5#2$r*|sShi*)IO%}x^^j>igqQ_c49`5^ylsL9= zK!4uWtE?VTF82Q2YbZu|DN!oqcfNFXJ5-+2R^-N>-|dc66VW0UR1qvnqh@jYUb|A? z67AZKz}j*+jG%sNFF%QV?`X_^_k5#P6zK(?W83i*Q*Hfj5K3`w_e=jha#Ls{ip=y6 zkzk`QvY$EguPd-Fc;Rzbs^)h5o;cF^X*6B@x${p%`4=TA6zFjXMjJIZ8d2xP&FoMO zuXsn3+VFWU4b{DoV=TwcxW;Qk)M7CPo>A9m^`h17m!A?=LWNuXbR$N`tR}do9a$yaI6zgYf6O{;q*5geqRt|qYvCscjd!0 zm#jY2dH$@N>t4GJ{ARueI)ce1u}Dr_xcGUfA# zXgZvfrdG4)k#bWt>sZ@i>{Z&C^{2EwA`nb!=$4`i+^=Z=Mxmcjg1)EWt3O-uC4T0$ ztL~XLX8t|V+wUI7Y(L%8oSdV?@HC4%1yOBK14h7Fy$vi5$LKyW3hCnI^Av5u?myH2 z`^&ZX5^!oX8*FfpqwbAn0CHD6(b?!Xt!NYaglf{;>^b4g(o|0Voa0~Ja0D&y7@IU) zG8!pI)70{p81bs3tfLAh4hQrI5uD=ex1SaN)w;y-tE+#HAkHgVQKv(hzBS$-&trfI zUr-sfrWjjBL^RlcSsW<6ryoc2%0*|W2Gh1R%5HD~}3hAF82^2N8&eSX_nse_PPdrLXc($!Y?P@u|jHuM2fzMrm zcIDBtLd7%{+hFn&wVhg$9Ev@@g$Cp`{mZg8B2~j;BKqzVL01aWvrSs!&j^&gLZh_e z`bDJ=`{#IDJ5p5cVxmRG1?#dv$PHfdSoCoXmMT0-n~9Q1Xtb zv?k!9ROnBKPbg7=QCf;$(;!dlY?zWvE(PKR)v+lZYcd1Nic#l?Han-E2+qAvC>}Iu z>GNxNcAnFSnCgUhiMSo@CV(ueR=^EDBMQR;P5BgxBUQ?}t6M;hna_9}@fGJEW>rzq z&>psWkD`T>vR2M=oWwha2NsC44o z!ZuL54Xge;FK*(bjlp=AIBS;Dv~>j#hjs2=d&lEgPg{ouaiaNswfMbg%H98rKdr#! zC~ExnAOL}{yjW2T-WmYF<%rWM6kvW&QEfz|DzvtpoZ{kqE>#?s!;ae`;6wy40pV88 z7}2g3sy(-wrj}P}BkDODa5ppqYH;_jtK4&>ih`SF7<-NTjPUQz)(Gaiar3OX!BRDT zQJEC-qBL2>jeb?!`~=xJao&VQAgEi3E(e}R6jOWFNpC$OvuAfzIIM1c$I z!>J93oDpSK9@3oZeWX(Le0Frn9kw(YscXd60G}Ft%TDurGmS(5G4<~B+ar8z^pW;%D6AXo0BT?We*^i|G&Ox#X*_u@-bE@mkMt@q5H8ISssa-%AtU3_0OT}MMu(FQ~7#9Zu*4dpDn6X{~3-&FM2PxC;D1cjqYW7{Vrr%Tq-KA-5 zi8e(`5_|fiR*v9NhEC{smX33U+pOYdZb0PtjN8EQj46jBPgYf zOKnjgZXOT}CBb||N^gbs*Ku%7IXi=N-MdXd_`esI88{rJm|oMyAU2^zii&GaS`G9F zVf!`*{~)KPm@D5*o*!W(NA|e;0tlxaXk-HQtU$UrNc#@shR7>jZA2~-MI@l1bA%Gb zL`?J=kK~f?TIoX*qbbWoK;^7=V#k%~qhH^uk2CTwiotk})}F>fx%H3e8vjqOgX2)Q zc=k~Km#T;bmF4!h?2`Z?9_Y~Y45&>WwWC_tiNXl`kb$U;XAT&b;7?zM}B)!?`k@(WL%{Ng-5))h%pTk zm&R_?dT1HD;Ki!U(RzHp;FrMRS2ClZO-aI$5KjJG(Z1ZuzdZV3>Q2jkCLke z#fk7t?0&NGtk07!=d#o>>54o4!*Etu1p(lLF(sPiV~*Ag#~h>-E5nz9CFKSk(9hj4b_ zv9_f+++f}qWzbNYPzWTUVL-ZlCT=#t#rBLBNFceQ0s_8y>G2f%f_ia9yz`c$l*YnD zTaF7ZfJQEx-fdpSPDMG_tpRr|a)z%744}vub`$~CmBu9GnGuC^&<5-M(sD*|UdGUg~$owaRwsu%r|wqzUB7p6zJuQc3>i)jS)9xgQb zhTT$BdJA|hQ(I90bf|3Et?XR$w+Ld}X%DBR$?kAM=L?1lv(XkYED~CS@pkjJa}}ha z`-VN$I`|iY#5L^`7tkr9X02!e>PoLk4Peymdg?*0sCa zxkI@q7RILK{Rk6Z1J;SvPmzh!7 zl)Z8))uri`=Duzk!!LMLoz%%d-y}RO*fBx-DZqL>=0ITZ#Yi zytf>GMnz*60In1P$-K~K3qKE&gUHC6#sEuGnN{gEi84qCrWKzI(>ZD5n09ajLb1?W z8R-~BSY&I!7e!o~M(v#Vo&|`YaRo-9QA&g(07oj=OU?(%nkscA&w?L%OIE0Wk1D+q zdMXZjG!M{-j42>DQrSye-FRf=2h1J1#P6>p$*5VahfwW!(3YE=CdZTRV-m#79R ztoS3abaw-c^Og+Agi=|fe-URowDm2|oPM0c4tQegoo3e(j94&N77i;i2ekDnIS8|? z(Nd*(UL1u{Kx0oVYTL{VvU8sgHl21x3;B+O-WL^T8?k)tTj ztWpw)3rH6;sy4%|oVah)4!?2xo(83U-+BB{n=0@DHbrQu1OZbI1moe0rja|NE-1~S zBNer+SAfNw9*gAiibab>!)dv~^ zdUbXu;C!g9f)4_=uTQ}#2?wERUh6Pq7cvcqs;^mM1hz#`t5zm$rOnn&ukN3#b+B?H z$$sjMt#gppgevhC)n&VlRMVfUqzO1|>7z)FQ$BK-C{jd$(;>kgg|2*doK)*eypwbs zw^!`F#1G3{D1p000U%7#YhVbqyRd^eY>u*th9a7lG}7YqB7!90`UEv5-bLhwxRn&s zZQCTIqxkyngcR>}Mt)6x3udaW zV)`lPa#bUtkkWnw;YxaMJ%7qIeawkm!jXH>_FI?@C#?>RQGrJrfuRk;6-#!>Hu29T z9NbAkWDJcnIvkU@=~!V4OIC^J&}%)KlDH(ox}%GQO4_VT;1ELBO>c2lEsTaWK=y0It{vzZIFYakc>~rFwQv0Jt98oU`NZlvyem7 zS-vC|kt4-aYN~|j7qAC{q__`Ml}bgdEO?+xD(j4%C?6s%M#d7cs?PZXAV+ z^nP;l8uc8t<|UdOZ~nVw%*hZ27Nq9mVkxfBglczO)G0PjcYyw1l)#qvPjC7C4K?HG zrt*!M(xHP4BVta2;by#zLIcJTJw*qNc3o9pu;5DK2Y=wuhY2~-QeQjoy!rKL$ku{f zp)*in#BExcI%2oynXQm0$>5SZo>N7MTy3`oPb!y0W%8w{T@5|Nu4YHv8Gr-Qb!#jM z9tVy>QA9^7#T9dk1IcuDp>h`$Uy-9}?h*~c0TM#PYf%%@NF>fqYusx@>*)-RlP^VH z42kRoL$-M6K4@Nd^l3%`@P#PF>WmT`#UiGveum?-g&ZjV!tcqAWL(TnjPVGO&2QQc zpALE!LZJ%&1k(GG0FlzicaV%=6h&tTvxQ5}G(#STqT7!u?!$ZClQ5{4t~3xjUeZS6 z3CrgYjn3Rfkx@Vc{Yg`)h>}2&m!g%*@&|D%tu~lpM*G;-TqO4B(n-WY)X{dBPuXNV z5y^cL#)&cRtKkUgOxg&}dZ4rwh8&|xfTQKqD+t%|vB(mNQe!8Q;_MPZrO>M1HbAxK zBk%>=koZ*-!o^1|EU!tl&P9Tj7FxB@JT`h3a@ddn&n(0lQQt>E_viy!rDfA0Dh=>K zDN<4U_39vmt8P{_K4Fd6cvx&K4?glC`=mo zf5brml8J5_v%q}0ckLPSM?^z9je^69Ti}zn{$`7&lPmsn#h1RN z2aI$?_4)vg5@;CpBDHyJsU4X z?(a00Z1FP%EF3f>qjw>yqeh%7ugIE4Mwtiw)(*;ESrPKYvctl)X;+gun63d6#ZRe~ zEgIBDO|T|bmCLZ)oYB_|G_dQZ7k#+MaqmcPZv2dM5Xzss?DZoH*r}PKtry?pPD!M29TipC8X)V@@~=&$lqIy{{;C&2?`&1DSt># zz0mIJ4%qxbeA){#|7eOYH0<$H3I3*CP=s6x7kVM2qAy-!G;oL`jfe>Hz$N#sN2l^B2^Ts=mgf14M6k&k0$QIR)FxDk;bCSB z9tN6rAKCw$hx&69R za6pADj>!gP4LwEGX(Z!Yin4!xz(exktrPKabtE&qvH^71Qp1s8+{)wq_#%KR6K1sT z+&X={0t@iW6`FFPD;1YPHnP{kqi3<9Jy6K$s27vO+f;7Z$a>!A{D4f4BBnE{QVnx^ zVz#sf82TX>t_F2>`MOrBkYgZ_9p2*0^YuD#-9oU7%N2bh>zYW;tL~H8!_zt zpukd&5WgPB)$!1UsLnw0b+iE;j3+kIc{C!R4`?12pwPG|{?^W@}c9LHR0{5kzbYGR^foRHFxFd?)jWi3tC zN~2xiYnQaZm$D7mZ<%J^6L8Z-&WUq@oz9z0l>aC{TV8mGkx-=ATfYrYbqtX`qwPyY z6J%K+ICioRUQ^`BBM?)LAyDZc@P&4Z8rN=d;+$ zu|CrEoQ+gF_eTGWDKSC9J?V+qYRD;lDgA&2iP>Bv`tk0dvKxGl=!uMt<&6E%x_{p4 zk$*mqw;CZiqW;}p!E5zp%izS~Ql&r`JF5$HQ-nBH*3agVGJ>>++2w(-fU~^DFr+sb zmGoSsZ)1%FT(9dySN4pZ)7S8$0oG8OGZH`1Ld3o`^oyGeiWh;aO<1x@)kn+8`7kQ* zECBqrF33vyqI_!l)PV`Hh2e7aavwl-bxAumf}LEVc5nx!$4YC~D6!LsQe{;a$b*1G z5|bI|-+dH(dgk(WIraT~Sf8Ol6g;#-SDdc2Cvy$(9Vik_5DW@%-J^HhS-VJ8W~Y6| zTa2z1%1>IDCOyO`!UkyOstGjes4mPNxZI8+jZq-sX+kqu9lL{4suoL8XM)0S#5^;O z_aX)ZN#H%q%?QKeMYVYwC4IvUT`{`UT-vHOGScYF@$J`#T&cQ|bPS6o8+qI!akb)v zTD@-nH&4w}Ou}X|3NG7(8H~zat8*BXYrIy8H!d^VMyr$;j3Rez_Pyu$6veYHhvh_6 zhh{9rC9Oi5k4A;IdIby6vL}jYv^hytYeYic9oUB&50pY+|779x9ahP;VF>*+Gv@f% zzrda8y_SZ8Bf6OI{-l|E$6a3PMA7|8P%pDvR@7%_=S&=UkN*S7N<>x3@J15qB z8wF(qA}Wl9VkGizgqJQ;Wm{+u9ha8ypti;5>TsDOA{9ahL>`Z1v84iRV! zCZ3l9zXL{gu(*%zEtzjhb#<45iv>^cxwBCj!wA0}@q0{iWsCY(Tno^btKWR8KTEeh zCtQ)2+zM0+Qm3D!_G|+43P?wKALZ}WpMk`$hAj(-T zeNrrKG%A-DB#`>I?OyP)*F7eWpY8&(UvsGp!5ghQ@ff1EunOMZa~Ux{L=^9{v%pB4 z9}wM=>pb+IF6!F^eQlRsD)3xtbeWjlFS}P3;RH)=3D&3!UG22 zm!;87e&DCDN=NURCLszo+AwnaMIBvAk-qLegz2)A!!YzA1o5lBz&k}WGm z4t4P$1~%p0OsXqGJVlbR5@60zKU1MF)nPPh<-Uvmej!ff_0xv!yn7R}IP46ll@fnv{Y9ng*Ce?$>kj`)#XbEG;+^;k0@#87rg|KQM6!i4~P&=(x&UH-C5?D>V4MT5ZE z`|hN(D+?tjkLxKL``aJ&>ppDEQ9W|C8A&)uxMgoT>N2RMVTu?gonqK!!!`98&5qjDNC&MFP*3b^l58ntrTLR7nJhE2H zM&2(?yuQiXCaTXUmXVUWeLk7J$60UwNb&OAlt$&T5C+=h^#vayS38Yz3=wpamg zE|`2qZ5Z#{ejMk&Kdz?(S0XZuAyPwxZNUZd*dXGOqa;sIoYac*4&^2~~_HW7CLFy}elLuCuO;unCx;v%3<{fy_lB=Sw zB@Xf!Br74651H=`5X7pJl*Kjsv)ypVKF-G6$*n&AzudaZ)SR|;CJVsrPMILqURR2SYu0Aj$$(_JL`uum2x$9n1JqP?aGMo_Rw*(3))Y;WeV zaRo+SaK@!TpU&Dlu4A+A`Nm6@m5=}564!4!igw0M*a!?wffdsr}6r0_ftsCrTFRe3D_&I5gNH(kho2BML9L) zJ(^O(B>5IQ)VX^M)}++h034EOlwmM<)C$N3po(UX;7LQR=q-DtO-MxgLA&ST2W<#J z_>5y{@f}Zaqu8@x-@cGS7H5#k78RYe(Tqn+<%|mwvn!(fty5v7-6$z#xV~J)X`wrS zjl}ARCkqQP8Ev2pf^Np_0}P@r23J-%j3_*zw~LmnRl;zq`LHz1e!0dik(hE5CuP81 z(K}H{HS#4^Z2~bTzO^^c6EKO$HR2>H&d-Tx$x)Ho)MsP45ov@iaH+0R#xAzVDKnDa zZdsE1tw}e?Gg9N;P1Ty2J=?963T0l;0pT9RJFnI zsNMr*;*0(bRP#P_H`&Q2m@+5n18M1p?WvwHF zG-$gpb{#Y$z9I?i1Y{cyXgC?1-vIZn2J@<&qz(B z!W!)u4d<`@(SOJ=?Xfz0Ev{{Zg&ESA?+;poqE<98!#G-)&^o*LTG2pZ{y9^u^8W zdBXAb;@nSzL{DWF(%S6|*9W1`wO5CBbW3Gu&@AB}MbM(f2Kg z)>~1A%P%CAcv0vd-!#Wrc||{8smmCsUR##~bSsiYBSM_}Q{`2E@t#)shaz073~>n$NgpnNX^cs$-=o@UJDFEs>c3Y|c`b;<5p+IFG z+cn+E7a)!rVQPv7EF@6Vk6SVzDTe4GRPPiUbCW30mM8gd2gA?t(pt|6!rV!=InJLP z>Y+CDAqm*u1iX;gYTi=FCZl&6Wvl}T$=O=HFp_}d&(&&ZKh;S2SM4euBq23~2sS#; zQU^fxyeM?&6SIVV0`Gzn`EL@gr5>pM#wkbF)lY&fTdxq|5AIR9(W{lT#F`mKCBFf; zFMTTAzA9K})X|x1^uq9OfV*iEgI+tmQ!66vO*Ie`1kSoa$+|T+*zjhpO2M0Ueytgv z1r0gSclL5av+T{VRj!i`WR;FTsh#g7<`=QAMd5`Bfy`p7WeL8yS{95y(5`qSI0Y9X zzim)@jW@nYEZ-wB8ZAniz3|9HM{i@3!n|NR3kQ8NxS(cS;R13~krx?BHI(IkCwYD1 zuRlJ{o;Qd;VAUkkt){!?DO}f=Uo^0k#wRK-yy}-k%^LB)Kf|Jdg-Ua%%H!@g zd+57~e>L}J=Xyad8-Wtzfy_e2z8-x#fn>A?z3U-<+qCM4G-tz$tfMgwNVf>N^lAB-w0WM&a?F+fBsl*B_Lk_7N4}*BC31e~qY0 z&{PRbH`;AP5PqR29lS8UA@BjMPw6)wzMM`v%$B*N(S5nG5Hp-#{d!lV zkmI8G>x*GKR{Ag7g zx;smq5q_1H1D#w!-hvXKE+TCBCd-K}dKrAk745;(QC6B1DdyN{*%zIT&EjPIKI$Zw zkN90QYrm3m#%(tdmo}k4RxyIqMU}E-#*_}+Q9179hSUyFjW({TM>e`KzOg{rzdFKd z)(+vCYl zYfs|0L?2`z<}UNsyv?g0(Gh!cQE70hA`c{CcEvmy9sFJc1!d|WvdWGuzHyspixxbF{5^XI#EbP^yOBYTJJoGkp3U1u`$M7=f0ruO z2(N2Fmo%iww}_Rk@zy4R3L(RYhj?u{Xjs+8++aOAk9#F(bBM)5+@)w`2P!8|$?0s6 z9h0E)B#?Ss%x+|N`IdkLmY}NEM$kTGS|eEDu?3`|P1ODP4`=9hoBv$JX{1f4L1l_E zNcZcwA>V@QrR5>xa&YBs+7r(_M!NP&vw#H0AZMWC=3{VcE^*D49lWDpp5*M*OY;es zqcvTG{#5nrk!wp-AH#(|mR7k6Zr({;XuedPU`lbZO;XYn-PihaAjx?k9?2RgFVrT= zMhbvw4FR+os%!!qOE4q@&_r*LG7o^o1(`-X<$E97VRATV;BKPmQ-ABqXS+WyIK7Z$ zmVg>y%OcbOnEf=Fp{@apRJnyx4?V5Z?o2Y|XagH@O8&6(k)Di=QmG4vtaU?0QpMa_ zWS=8;5lWt2u6zR&2TN9R*OL+{r~ovlOD1WTfAOayllg=1YlM0iGdpiz-nJGSCP3m% zqkNhPSkiMqjM$3ajZ?aqWRS66mc#%@l!+)T`Y%oaib*=Ws1^k+!d2su$7eVq?sd({ zTSj-Pzzomg#7(jRIvPU@R_bTX;*>7y7at4ifwEK<8<~}jc9>7#`x(K=ors6RZxC2lxVY9~ z0Q52m2jSrEQ5^yqOilD6srb=VHiDvCyIYC;RFEH3N52R0~=3Kithp*ZdnOEGU~uPgZS%A06uMUq!w9FWRBz1qpN90`k5 z8>wbnBGQsFPVtD(xaWIW0q3tRy>c`1(Tbx$;2UA@46RcY@<^`hU>=A+U+RlEn(LOA zbSF&WT)RJ)3(*3rP?&A^0dKS&`%=p?r~q52G3^xuStZ zTYxbXKvw3g726OeG|Qg@h&DT-!JG(rUB~M*+qU@rlBoT|YVkY7<=009AnMnsQi=ao zQLtN~(|XOFyEqP$27tvQgp8bA-*%0l#TOA|<@WqDtQo-WIF`HZL3J`?{iTXvKQrZD zA5KzUt5$K#JLuSmJbNEu{^;K(kgvN&=58q8+B!<~Ne!~qh3DWU9zoOFDPwobL&3Y0 z_03YtPS;;@=IlCMV*QWV4HiP>Ny6(N}7<|lwaTem8T05ow`DKGShH%1X> zYwa+}AUmpH(p&CjowZ8tfmag>nDX8_rfEPicnkUDbKawaBNju1yG@ToVusorgDUqB z0SI-=b~OYe2(w`X6^$Ci@-F|6zax~3UdlkI_=(&g*Z5#QDzI%U5V<8$TgU@g8|5)! z!hfob4u6#RUW;0|dh}`FgwCM>4)~RBxr%|$p`6{D6AnXKqBO7H)2q{ciYGE}3cSDW zPYUFrWNAbPbgQv!&$`upKFLm`@!zuYqC^33U;hSQq(m|!kEtRd74j5ZYatU^)g`)w zoPh!9qRJa0-XWZ-w@vJ$?M??x8J%*KHIa2g;asbeN-4Vg4!Ned0Y}kRI4Od;KE+{L$ys2-J%01 z)VfOTXe}5xMvf7flIFGt$TD&3Hk~$mT~bf9GVao+q}LGvAx=8DoC!u!K~?NvGNZ7k z8B|;{{BzHE7)UcB#)x^I3B)p~TX4+dNwv`l3bZBW17q|RS8re`^fI=~wMCcI4Tu=+ zh$i#f%dY(?JS{=u>Ztj|b>RUpA_-SG;LnNzRFd{2#}rxXX6E+KwZ_wI z4hRnYSVhuuSR`d2%u2X+surqG*1+S@ORRv}MYlXn*>arC+x>ZnMW5!EoKyvbk~ ztM0G?}BM}@qaBVbBh~8nFgF2kJ>I@lKxY2+n% zEMCeY@UuLx7TOYuwMLKj<-C|@Q77Qz(tW7p>6z&%|5lLZiSONdPK!}Kw|dh!`TH}g z>7*ta*?mp`kePNDRQtK~IViWk;fE8dwq0nta!fM;EG3$M>$GST&~{9mj=hx;fYhNO zCTJ;KY*koV?r9t3leLJin-~{wW2p?+xYp+l2!!kI2>e-A%}JfkAet&x<|F4WpP?hs?;F~%{XdK zSz7atdIP&(i?4-oP3lJOAVFoq_*)(sno8mco2L??vjVb9=x~*Ic~N`-Q9u@be}#^r z_I54)#|QCsTwJ1?OYE0g?C9VYYTQw4U2fb1NuF^Gy=-uwA95)Ll<%bwPzQRvX!ZhU zL|U^_%NNQo;L(E@b{tyXgPoi8p%I#&G{ z)R9f$VTHryD=xTDGZ_maMsr0SuidErYO?1+DS1tBCJY}h1|Jm9dad6T`YR$tHgf>~ zya!~JxOICVv%Rbd&R~~5dxfm5L6MW;xE+N%QgZAIlsJ!sKUsJmt;h*#v{AcLjVIYh zS_-tIUE#QXit2gfyEildCmwYdfQgufii905o|NxxgFZ%7S^5l=t2=~;`l#NL<*cP- zN_sYNR|his1w>)(gDCb3b=%^{_nX<`M-<%GmtXvsKuvBfi@Y2tehL{;Ht{gDeIuBi zKs!-)e_=s?4BT?Lr3Cx1U1?g^fq|S1X`GwLIY|Kd>XB>ir?yfKtSZlPn>7uV)Q7d7odV=Q`K*ixL<$NQ;%=~q^Q?J1YD%F zF>(6>D6;z6*)1{=iOe-SIr&PYs?nHQN+6wJ_A3s1r=mza@KTNR+ZI|gNhp4TbA^b1 zhaHwIYvN4B-$iI|se)FlaMtm*0&HTBx^@5VR1_Wc#_}X;0G>@fo;v{DwW->CM4RZ7 zQ2s}lt{u?|e&&rRN_Z$#2_e|@3duIw*M0o@ncsD(vgd4bNfjbJ1?}ATI2p4;oL+ae zv=8`L*ztTbk38fCL)&ZBmp?)%`w5$Fxg}I86{4n7O+s(U}T`}XlU4fX48nt+f?D08xap+)wD&@u zuE8 zMX5CzswzFU2BX8;5%ecY0yAUU0abzv=4h?a%X|5+)&AtoQ3q-9mzp)(k4jYCWLw*Z zY=H>yRIF4cw@)Lj5%HR$-EpUlP%jUnOq)Jj9;O34nuH;bA0msNx10j_Bu#0sgE!ln z%^I1Jy<=6PJjGGyzXxyxUpumuD~K6|0+rXA&Y~3Eap%BdtBLEJtLS&_OKPj*?)&xY z%ZwGBm1`&HvLwO>HTP-<=72rtr45#mM_m$t71irrs>2-vB}sY4*(n1CTqaEAU8UpK zAKFt>a!gC)=v@ZL$9+`yN&IsR|0#p;5l4xxe3S5%z)D8NdYAZ&-)0E^e9UEcrRVFi zy`=CX*&FJfdgRSTb1c=%=-=F<3u`n3>f$9KRV2QIs-6HTK-Rys9KHTrgDy8hz@Sm6 zNnvznkBoE!_wvM}+=L+Xwx+z799P5qd zUy^Z!Ir=51JqbxK8|NGq-$9PV&Nj9T+1dTi#LP&aaOn5kW(B{#bb<4h+tpYRC(`V& zd^5~R%yq?CwcO`hiO1`KQ2kIQ;FIOpYM=e72rCX>!wj#BF6yqI~H4+NK$M2ECh}!TDN4m z%zD=KLfb>|yR?PCTy+f^Dy=2`6teo0C_y1Ojy8f77U0TVtzd6=1P8Oi-Gw->KVjoV)d*sF z7W0FMW|3#_Li<1K+J2L$|8=Lcz#jH3spzEVhGwZ66SdvYMO7ssq=`4SD7!{QxGbgS zoT_z;)3#OlQED1HlVv4XNhO0JUfESrS8V9d{sa_p*R1zh^EYiD4(ODP5T(1Qcgf8v zZgaiOl>fSZfMoC96RjM-WhJ!-A)ns?bUleelEHA)z_49c<M{CS6b8o0=<8`1*u^AF;v;>Q~2| z9q`rH3-AQOBjeyXc&$k?4HoaUEuOAaDfq$UQNIjERQ>3o7)rVbZcJWa(Vl}llSIjn zPVR!5lCQoxj4Xe>(%MflT`7%<2h#t5TDD>4w3{-iY;BW2mN2SGXlmB0Tcq3;Xn#U_!?ih%jh`*|WbW*gsqdfrq zTZd7}aSsDE&ODfU=HP|e)-IId^0M#$Bg`sv#_W@dfL!6el)Y<0E z2}^ROf4&Jq9+7IG##@`H{bpI-^;BW1C<$RA)C80k(O|cQ`_#B%IEi%?S~Q?J_MkVD z-_J;XRdVi(|9$B+Fh9E_WJpT!uHeo{#xyie5?zOEo-VcI2|KP@Dml5yJPhGoFX{;F z;!QA}l9A}z0f9!ISZvZ0CundHF^r5xUlJTZKJZm3Kwnbkz~Pl8)<$jjXk$!$Ct!7UN!HHW$P~uQX+l4rS($gW1o68vy?0_VAu{Kfo#FQvWo$0K;76I5!nVzvs zl3keOFi=cpJx~~qV=zaI2pc3-JYPJstQ~gQ7!v_ogu{*mD)S0;{gQ(N0q{kJ3M<3yMfCAOPcvNku&J2UwhV_NkQ_jZ1g(%+7pTgdC5?gsS-)|j-B5j z!{*?n=G+=#8LTE^*g?}ut0?1XKH_VRJ(i;kOmDUkUf4=|9Q5}m%g&tFrMz7UF=t2q z8b-d7t|0K82Drz?G;K>(eZf6JhiUA&Hg095>zqHmDi(Er5E&TIzsldO5F}CbV55Gi zyVlfDV3uf*DMAVwzKFWpy!Elk$i~_(sH>{gQh`Q>Wdx)l+E9m5Osm;wI_~SHJMi}v znH!)b}DPvW7BIZC%makmfgH%jjjc6qW z1$_#Pp{1ikZWTwIxsqOpNguPbzf>Wo_g(}9Bd~6d<4J_(vkN9~CJ`-4C)enRI~#pr z;-7577%VcDD8d9;*di#C`C+$)-ARjEwuojO?|hO+mr2tJPTY`98|4#|Cn=TOS|pB} ze#6HetnWg-d7G1@)_iuh0uVJ!O!!FxcOAsFqBiP-*rFrapW>dWZz8G_N8S$>qY=E| zt>S?VHHh`fF2aZqDht>}t}{9Y?5`akumynIK%hM$9>f`|67kD}(zO;kRh=;uao;X~ zL+EQGpW#gwOQ6x%Qv&Gq;USi+5%_16_x;V|UbZ+42Gb^~Ck;X+X=Kp{FmVN&YYoH< zx>&4P;m1p9vPJ`+vsI$?s^svZ!J{`q3reAOtU*mL^gm1mRRP90?F{<3Uvc(sz` z`;Ef)4HXJUdZ(CWvcOHFrhjHY2b{@7_R|N61)>yvXEwPC&E97azyBEB}MwLkk#< zk_DMG8T1lG^Nn0{G0Zzk^vjt&+OrUWiw>!bYs1m!hj5kdHd+q=7>675(bpmu!kjm9y zH6@|PJsiz0BQ5~Dbc%9tlaBhc{B~kFN69*UBb!lDs^D1WLs1gqv;5d7$z8cD+u&$r zOeDagb3pL6(x(k0`=MR#8u!0`*k(>NPkxa(5{X+4`6j@|aU+KTcz<=!c}dcHq3yy@ z+uLb2s6)`;$*u#tCr$Ua8q0p70(4T8X^U*Bw=Y`RMj&j*k$66#XBO4=+N6!A%e3;C zEUJF8X=>58X_H(5xu8yxmN$`4?#rp4P!+=kVgh)++&WJwkjsh)^^r+w)9Pb4Z0m>S zz8#UDbB;+jAcFd$v0BqQ9A#u@Z6p>HaX89PI#yCqm;ghFz_vTc%}5EV(^=Qo8$=)# zYI%Z~hpW*UxMP-t2@V4ZK0@AkF(w+5#^bfH7eOE zXv}g~^ZpFow02LjamSRmk+IaziJ-85_IY{og-@kjQX|PjJz0z~EOk zbiDEb$c4Ep;n5@x%vLlaRrIAsK&*}sm70!5=b2F2xDN;dLcXuN^i()B>d zTP>=ZtT_0_a|njt@`W8|P6vkIuTh{uGj7s+0<&HbSb^0S)x8_&q+MU!Ko-5v)v4!@ zUEjn_QSnaiPZW;(BITbCj;j!rVQ5X%2U8|{0V&rw|8fP*=4z6TAqaO{FGJu*vqzW% zta|rC{Pm?D+Vh)@&es9faHIs_SABMgBhlk8np}1=5&NZm3A&3(jS&w5Y^6Y1$F2yi$*|=34XT7osl03)MqoDEh#U zROwoveV%$Qk^r1hb?phj?5Ky1e^}P*j0RDJe@GxjCwu3ifYqa-^stQUXiF4VLQt>o4lwaS-;@gE=x z?m43RZFkd6@}BD8G=S~8MB*eH_U%R*dlEXYH2G?xE8ZZ&SMHCi zck|x4pc-@0&OjR(18+wGz}CE-v>zxUk|TBb3+$2GGqp8G8a5l;3kHdB=E#bj`Zl?4 zi;R^~7x6M00qLabeeVbU0Ir;XmRi*=0FcKqm+V4D1WCgLK^jqD>qVNNJoV-&}}vTT8=AX{cHz}v5b1DGK=18chVe~YHf*D5e0OdW>2Oq(t|4l zz{GKEWFyOeRU@)qrGJQyzM-PA6jL*e{!m1k#^Kqny=xEEM`j~Q z&G=B?OTNj`!&X=nomoHG8i_&_NdPAu6*;bP78GJoJK;rT&37{*_iY{fWglTMbC-)Y z>?PL;>jRcJO}^L&liD`3kwF{=mw9>K1z+)|l;Oz_9THKnpzpjNdv71Jp-9|^C63+DE z6dWfh2n&+vT{K>L?FG|7xT{#D0$Pj@G`$y{W{}CpC7+u|CBrU2F}6ypJXgU<3*} zJ9RfnDUv_5OX?pw1PM`#W13gm;*Q+c=D#k1fKm=tCznD;FoGZ#Ql=smf*Jj*6X!|_ zIyA4*_{yrI#Hx7du-VlVX)_CEteso^DHqOuBWwKF@>kO6lvKMUO4cND{jNC3eG$71 z>LKyRNP0qxs!H*5M5d$KBg%elITi_^HX>q*OF=9m zkm$RRtcFO5m$9BbS%CB>Zg1wipb*)a)~+eoOiJWeZH$W%brH=oax-E^MMSX1;j|hN z&bzIJb@OpxoOwSV(RD+@j$lR+N106yn zoz|!eR9#Ml$e}7f1%EWBNqu-3=-XnjD3U!^D?^meRls5H64;VBfA9mY~?5n zb}fUUN|9IKlZy&tQk`)zqi7ShiVPr0M*Xcjm8YUxE;VUGHih|s4L~&aeUXQl*8HNc zrAxVl5Z>Q^(|bkr<BmbeW{sNl8r809P>>aq+nH13w=pB`Y!Y!2 zn^D7|%;Go|R8+0(PI#7= zZ0An=!?SwxCklFldOV^VfmZg4Sh0Vj?*M75UD#UBkd=w_KX2MwgLI8n@}%k*uL1e2 z(z&z_7tBpZjab3a6%JLa4%10P(ECzCUOoG>Xv-~eI?x&s^SDE~Dzhx37}u+rhl6C*G)P#Q8nE>68^e$H3rFSi-K2CU_y;O z)l5<~0HmcU+6h;0U`lmN7(fm!vi{A>^aop>W(}{QD7rCsZly#_*bW1pc&biLIhU+} zA%ov=s4Xo!V8Oh}@44`c@QXx-B0zX9bS_cu>a=RrfU%K{TceIeqCJg5a6G})JI=?I zd*~;mxp5m6eef`gL?MRqNCjv@6`23QitB~Zh3%V4pvjw^-Z$y9z8G*;GJj;DAC3a2 zRglrWc)VVS0q=8Xu9+yJ+fYPv8snICGQoJ1L4oH2+ymWn2sE8XFPCyc#&Ug-ZzW;5OJDaq_eVr< zRCoF!-WEA9No=dn>=E|%Qlvz8RJdmS7k%HIN83?E8$9`A5OiV)9j+K5S^Kh1NBub!|+(1(M z0qW0#J1r8))@aJ2zAVu2ABUBZBe+c0<0G;R<2YQHLG5slei)?pn?=<1+qUvjtXDyrSr%bHU&Q7yZMnw zCrK));zCv4;*J#_Hi!>XVJQ>uuOTx-^vX@pn4>FfIENG5B!f*}*iEG^rnxG;pFW6IwZ7{l_8>gU|a1!;+rB2&m zuN(&m`tf2Lkw;79bjrcw1P5?)Yo$y_b9Xt)&{RmZ5<_iv8v{14n!phC>ndX)&F|Gn z1|oicr5V9`dk0otGfw7Z2*B4#O0X=HmF#+k;2+l1_xyHnRXT1m?vF-38B3&y-!@N# zH_LxYJe|adWMVXE10Z2X;=5|hI*H8~b=}fH1rZ;EbRgs$xSTzm=71L>;gQ{*m};FO z-z6ZHHJ#%u^g(*W@5#m{p^HlBBkAgG+QUcm?srbnw;57>l7||gxpKaGqEkdawgw9A z2ye2W<`V9zJLL~iqh=xD8rc+pbXs(L(hjU6_pW_WakX3rtLK>CUZ#|JXzI~1?4Q-? z<<@oJ^9`&PeULG^0Gj4Bg<0DR*Z@mvg4Ml?kh*4UJbN(S{uC*5SspF>-Q51O&(n{f zB0{u|P75I+k5F6n<=O~q;>dzHijP8c5#9Z0MQ#|1$rv?SQ2@cc2e6&4>|KcEQ!Yr) z2DkyTL4=3iG;dc`FiDWa7A>6hFEE;#B2pWAHXaj1&p}~(NA>wQ&sG}^jN6uyvvyIAYN=Zl7fi(tpf&IRWPngC>GWwuyrlTw zzIFPp8=iyVv0fhsF;_{Zp%y|&N4YmqD$m+PdcvhenA6sbYwnI^Rjs%+j|+=d3tMng zVrxprsymZ#9HsB&09gm^keUc7U=0~X#1=F!V`J3;4+;x{v!cqp#?`n@RDoa6qQJc( zDkz!=OU^I4nIs&lb!DS2SK)Iw#XQYH`h+WfR0*gGjEfn$BQ2KS^Q3`v{$8k-m5O8o zTWbNavgP~HRVkjwlrQk~aTLxBxe*;2>DaBP6Uw3zNhU7nzIJ>psbD^9@J@QxCL0p) zEQ*MZ(ECF-xXqY;-M!M&AnS$e*id|1l#>mS!li#1$zFM2_C-kOWuVeRUR_pIURuM1PtgLJ) z4WzcfWaLe{0_)W`PTnUBg>(VHa#F^tmDKZ^Nbq#WB9#dAN3Pwi!%nuk%+l!DMsrm6 z-nb?!wUIw>{GMF_o^|B4h!LZ2v4|-)qgh0AZZY;c67$uSCWECDK9^~_oE5Ixl*$|J zh2}AW^nbFXm03r*P>V<{l`?1aiDq+NEk_0+TxU`)(LsMyY zPC~7WR!D1i9*!JsW~B8(>IN!B#C+^Y1p8ZQ@Q-_eKw3m@XYQSh@=u*{Ys%YiDBGWd3<-R%Sk zT5@)B&{E16?vHPKRMtkm?U!AxgZi3)PZYK_ufzzlS8tdrrFsteD!TA-OMO>_ESjcg zRIMG)4b)fMWV39Nep%U8;PhAe;E4&qU<>3@fG2{1Ht%TvQ5u+MSd8* zD#}dvF^yfioqWg6ui6yON1R(jGmdpcXu;qpeqxhEN7Oot+=f*(-4z(_ax^LV2y0j< zxST0iLvK{m7XiSnOaB3!`VIq5`h$&(nH_|}FBb%ZlNg0o2Vv@Kjyd!6Lt>3||715# zE>7iO$|~AKwY!ze$9-}wnnYcH?R*Lf>q(uY!8qtRDuU936o^QrBTh&`U(p$F{U+S^ zGk`i(x9bpdGj?NiHHO43o?1I3)OQrN$dVFcz0g0zZxL=2gZ+I%_17hSO_ij;#Cd`u3?C)eEOh>7-w}D*a{uwBlMSQ`(6M>%14aS!9FM!7IVG|W6!ayph9cd& zHY6+IIbCzX20qa>zF{9kLA`2pMwaJ`zo#@JiJvl~yd+)T$W}gy`KutZZd0PaK5_?z z93kSmbg*{sQ^HLoPU3r%f)-y9pozDsLCql9C}H+Tg(j!RgPoG=Y=E?yZ4&oY_9Wg> zJsA}ZPP02nZdv>~vYtGE81$k(7QoHOpbF(JjksD8*r?BAbC_pcgOR3N`Ir zem4%1I$MsgN!`=Ibre2~7M50cw4*`YU51e5h1+1jq&#k#Eo z__cG#iSf}3wQ(2NFbnR;K@;TnqJ9{46cX8t%9jdXUD(}-MSIEY!62ia?2f>NBemXP zD}4}({(#FIPrZ?+#s0Bs%4?Vr_lzI~htpCj;~XYAw#p=WQ-vER!OdYXCxmY6S-eU^ z=z|@|`ONDb&-e|j%TkO()d2ZUL^W4vDiSs3aoot@*(v890zpKHi+8Z-7FZUZu`Tj@ z0fuWkh!moMz5Ems_gr{MlAv1>Fy1J0={7KHy~|Zt+G_kqTlc0G1r)E;a368Xq+6tw zt>*uAWyxa~jRd;^_r9QPb72Qbbg-a$h}Q0fMyn=DI+d$aUPc9{9KA5Xsc1m$P~k2; zsSdY)40%jAI&_uU2lWZP^<#*bN11VYI&`>kuDYQg)avLdEMLWK$Q+O}5!$ZLN)XEk z7NX^XN~*|Xq!qj@Dh!%Zxm1L275sO_m2KjS5HeFx8~qj-etl5ycJz~-oU&26Eb?}1*tY2=WQ4E;0B3!WusWxQ!25dv z&p-vEvWZK@2DcD>DJvi{D;f4!6T2Sv^CnLHM0Z` z2lBR$aY=3ro2+%HzR-ats@nnxIZZ5*569(SD;-?(9g zbq8hNwma(sTCnt^7Sigio_u1(<{`O%Ix?h1fE8LbX>NxDq&Pgx#M zH)8-u)dk+^ggSGXw~_%-RMCrcKqT^qb5W5*?`-n_+!>irLP$)BI*aHM_5`k!RL&N8 z2Z(!sB=EPv61t=|lxmYxJoziVX@Qv`7D<$-W*TJ{P@9am9i3z+mGzfH$9j~{Co?@1 zWQ!C!L9g8o4a`7IIojcYgpvp$+hzxTv9b^PMSBPNZ((c~X@v?e*e5XiBQHc|px7Ky z+qxk*b_j6|Y&NaZ3e1ir14WpE>v`nFx4lwvqQzTV#0QjCc_lODH3rFZ%Qvy2in%xk z6gT5bI6`?>X;NlDed4+*Y9ZE$+PR4QaFjM$JW~X*C<+JaB#q-y3Nzobp`SQ-5F_h@ zOG+Gk!+IWD)DbOv(a*~puJe!09j0vILQmR3O;w=UI~A` zdYJ>!KJp#{R_cYL%w^DA+bItW#e33<7yr^WrG1wO3T;HJ?Lj=Di%JTz8?%7L*M&UE z-I}7ePbzLTHzWyPUy=_YfVgG@79)+M{Me04^r5>>@4m=6U$!Bt)9+~6;Jk>$b z6h+po0G*v(beNBFD}ha0B0}YIwrLdQL!-%)DbLM<}B{F*cKkpQtiq-m9fq zg}FpjVC{IBuP46$AnMCN#k@=hn$2Qbx|4Qw8@=yJ&Vl6R**^76$2{Nd8xf%g8dqAJspH7x|ofJ+Ly z<~5f}+(yfSq8@=X0EQNx<9SNda?}||&)=YljmJ))n}f+G>27TVdOn7_tVrnabB|%L zDv!s$h}Q6Ob4wr^(McLg3(nQ*Buti#jUcB8&!olj1~8K{>Wgr&vW@ycmfYzDu(B7h z%<{LBKK620;l)$Zy~z5K5x6!AkGMaUq7?y;8x_Dpe0`)i6MH4us5PaYu} z|EgnHz<55l$Y9JH-=pGaz4SYQ`Jd0wQS9(cn5gk^Da1$hk%MV{*=0x|eLmFk?%?dU zD$!ZhLPgaMtx}Onj{`8_wS`Aqc|B)f~>T%1fszlp0it zVx~^2=9}FG^nM6&PG%>(G(B^z)FLDx9V_~`LCOI^<*7jU8+H9 zNI5PAnpdz{*pd>a21Am>>`tU21T_81 zsceB=(t9UEleMJi2XL?6q$E)uT)&ODsr{RFa-AyqsW#f02zCg^P)2Px(8CwSql3he zxfR02wusPJGo8=wNZ_AFCc1S?X@T5}brMKsG%CWo7tZIk3RX!vxGQcyZO`qks58zZZIYMrp;T^E1D;7u;) zXLV6vrqb$7ljYrvX@b58DD-0BIaMO9fk@O=YdrVwtS>0>0AFC)x8-?Jzjb(C$kZ*j z&@4J5AAmhkd^pN_tEhZ>PyFvo(4?IMeZVV-0FHG#a=Sd5t9!KlLnA>^*V?$1?LXoo74q?W zNrgS7Z`f~&pG+t~flMm&wY;Sf8Zf6hhV10!HM!E_dPNpKB(UP*vJovxTE zv%t{tpX{VVEDQs!1@%CPO;Dv=+5kKo*La}Ib0oNF2uhIWU`77vk+;uH&R%W=SCgzv z-=zL53P&YfEXjeMPF6e&e4LNUZ+lH(zO=%Sq3NZ}~rm7w{_ z?vlP+FataMvH3(+qH18GdD@Dk(R-oI?t5REaEM)khZ{X37ZSQJOGQ9}#DA{bTJD>o z$FFPWRF0J-(6ov)<){vl2l6iD=je4%(Izk84rgIR)|zDCdl`IXO};L*KBJkqh=C6E z{u~J5o=t*JprEAL${=A#70LyUdY3N?X#ofwFVp1gR_W5>U!c(2Tu6ABUCDKNwmete zv)l=ypTj1QO9KLqykF4+d8rj3@%{s_-k{wrvO*_+BbOr|i7ig4(V*^pWV2ckQNPjG z>=M+0_Y~E8TUd}Bo_>ZHbXPM4n-+0hjXZR(Q4Qb`-@B8Y`{5q#6pfssd-nMxA&G?@l34wIW@YLKX{>D7b-2 zKK#`Bf;4Atp3>%kp^QkEg#0;XglJqG4MZ&{2Bp0Ykd>{TiDBkLj(sAGJ+(Cxj7Egg zfX{w+7642YjEJnW#M!|$?v%?xMT_Y!DiK*{Awa*yd)mmQ_cN;nynT;0bI>SpqwT{u zaC^$JN0qtczx80@>6~}@tsw=y48NJI{{1lqTSnuGK1f(lnZ2Ovk}f`C1SKB7NwN6h ze#s5?HVpmy!_*xp(H`NM;0RGXw25@wm(WKg7i>AKHo|c>La7U5>9a8_T;r*XZo9y^ zm4wZP6ymc#=vpuL7FafRf`3J;GjMm`1$+bZK>7C_rOJHqG{r&bV@W3NO=8K@2dx8iG3qL$brW4Z z0V@Po(L_GCwl67_)Q?JD0@nn`SgQLOp|0cmgc$!J@Vr& zXqH1n4*TDj!V`tMjgAA#^h-~?-CYG_#^8Q@I;a1ZcD?1P*pa<@lst0il@m zt7R@IcQ1o${vVV^_;7*!)&%9zxR@}QhaR-xx9oC z<)MoE=NWQb$6KIW{@cqrW{7q#Q#Mnhtlz10;7;(w zt%D2{Jza)GD%s*W6y0KH@uHdy+zUr_v8m)fA0c>X<4D3uYFmeX+@R8$nxud_Sfvy0 zZ1*0MRDWVo6U98vs%;oTQ3O-T7u}64PBU43;M8;e|w&)XXWHb`+v`tWqMB`LC0kkD>=?02I z>DQ%i$#uEDDw5B8S(JQv{{*MYToc8lqm2$7d&R|w}y!Zn%)~Vo?1DLH^DtDxd-Pu=;(?6o8u<5E*B0Pd~H!~lIg3@tyEJu zzlUA|_(ax40ReAdkK2qi3ND8|g=n2mohpBY2R_V_|NL37oEj#(hKii`6G=S#U>8B0 zE6F;QZ}PRlO+K|_pLFJ*JZXsJlzK>0)*lnlPpG&;BcY*GY}BIcVkHv*@UEE>4hYJk zEp(Kp;wMC!2I6d<xG8XDf&v!y6&d^R@bDiJ5CoN`{106k5K%VK_s3**h(3Ez2(2+ z_B=q3u#SzG{tW3PsNJ~&|60XRU&Cul3{?W(Z$EG~I55QI0F|*Rlw^`aD!S5#z2T38 zB4-xYYa(4JZ%K`BAB!cEwKMut{%w$;d@iAEzAb`qp-WVxb9i{X?LEk?aM!-IWWv03 z-ykSH%1kZu{4D`1)pSLg3kq9{%d`m=1zpOuX@}xBKH$b{6Jd<=U7(#^0oaPPcdKIn z>MR)VF4y`ZnwSo1a)TaDNg?-fbkL0wdt|EWjufO57EdBO#phDY!l`m0K2U&-YNSeS z!zpzy4yr@joUn%1kXI9^x9rZz3zklzIdW2p{CFC z{nb}+Ne1PJ@;(>qxfCBgvuL>=WMzAsve+912~;uh<Ww&8=S*f?|Iz3l&b&PjByKi_@O?CgqwGgtz&!;FQNIGQT7!<(SghK+i!4~oHG_n$tA zIVUBC69ht3pRz%auIIfKSeL|;sQ&~K3Wx1Nx4ycjCWG zJjho6e4A@?%uHzNn+DM!FVw`q4H;d&_XK%nm7ajS@VJR#zsQh2)rr(fiBDUh(*P%m zDuph_C1)*Zt)$wTjhqIb>j4sEX5Ad=qwcoBfI>}aL+5MM+=M6|0!7eHRMA+Q_A$C6 z94~T(3UvS1-+(;8+&4+3zz(mSWkHSgoZZQe+s^@$z78G5o3s`8dUfY1b?F6DzE#q- zJSy&*c&ikel%6AV^vbKxi{H9o?{aSVTm?$NXMkzdFs>Wfv7+1~XR26qm58Y4+N3Sm z5}d4777}e@-^>yB(;BpbySN3(H9D=g(iS>iRGD@dzh1c$$u^{9NWlht=J0WS?qJjZ zT-o5sIut;{Fh@rmg)Su>XzL1{lN3=LSAM)}wIru?^jbDx26AL;w7rd2pgt0MZ|Z8) zddIB@&G^_dh65;nHNz|78hXPba~zRF{zOI;_@xazFrs;)gYOg40iJQ$3b?Yf48r`g zcXg=6B;jBg(P|x~51Qrxlu;ASUI(2FaoLRedp4v0#mg0pxk!`v!qrpA3h>VT5HAP4 zI07$11KQ;+%d{P3WWQh&RwLq)=_2SLw2ALSxj~p3#yhf)(P+`g<_Qh@>*r9Yk|U&2 z1Xz4VZisSIm_k7rk>s)y8@(tbIx-&Gvo`$(TePQO`&(S-R)G+;n+1>-oK_lnZ>!wg zn8=_2$VtI`tyiObb5#%z9@qB+ujulQ>$1@pXT(9Q-zi)C;xi(xcrRv~ynh<)3e^oi zBA$-U&Z_Q|ZgMM&lB-{SwzKujZDu>K3(#Py9rIYG^4f7R5}shULKmsT2y?!mhlCj+ zhQ&b-0Y@8=)#4RyEoo=w=EUPaFc)@}N<5^dinxHTa9;i&D9;4W*`W21R$V=cfd{-) zL>5Yk*uXvZz2xA*lB&8vROgI~pO!)DH*CRXSN>3=x<;(oPP)I(kzj-n?*r&c&6f6X za8N~e6yIV#=~cC5Gxo{9Jfe;~qY%#etj%Ev@7{calx7Hv)P7gFKLWrK&~vVdxmiNc zSBl!w&fqMNvIR);&|T0caKv}uUW*UREw}1zAG=%rc#8tzLAoW1-)NHpj%0^{13;C{ z6Qc2jy4xmO_a4P(fy4;qvqHHu#DXF>rbn++NC+9VPMgbVGpMQ!k* z_}3*qD`+yK!L_!5cjyW`fPyuiK|4znNc@e4qd0lNbfJOrJ>E1M)YdeeB^@r)c*o@r z9}t1OA3~^G(Kw$s;}6!lW^r}A!69Z+9mP);F!G07{I9!Ku4Fcgp3R>&r!VS3MO!}Y z#0u{q{-K@)89NC4!H#;X7zdnlv4)6erl)wsI^U%-hznfy=aqe(YhB>_n6veObLy% zs!xzF6uq4b?9NR`2>@nKO2=cn^Cw%gkj^riGVfFXPF;Q^mXm2uDvW&bMm=MMrna;E znB+jXhq!CI(d3&li2MVT~tz^ z9*E5_0v#8(hgj!-U+YCB5W9qOL`)Ka((pO&QIk+?vFh;(wuD=eLrRP&OGpZ=yqjm5 z!{0v=h(P2Ok3oM}cK>%5l=0o=ReJo}n6@joP^+Z$pEB%p)JSv|E&56GsSw!Eo+Ro& z;bzOqg0)a>_30uX7AoII}s~>8>Ex32^@^e+3TQ1b8dBc~D$B zbY;>>kW9{|$A?8>Y*wGlfiLjDj+DCPM$Q#sIH}i(2XuhKO!!ICq{)cgJ1K9XA6Og8 z8Xb3wOx*(LR=W4gK_-`6RN3;&=MEkBaHGj++}2B5vkm7_@rIJ(=v1aNY2s+9fm)>S z5WiMJ5Q z0`7ftg_=1Ymg!VXs}pQA>NK5+6wo?0+L8}usn#quk*fv~Ylo|cV%04~1f-%Vvd&IbGUYI1~tklQ4%PU=&eAZEimy+Ii5k1>_+j zK|Hw)rI1T2kllX4md|gy2?|nL+^6i=7dMn5W#!&>n55owuiWyK__ttuE)>fiBr{zX zmV+E}RY*AM)d$trC-|M>$CjQd0~xXu-tdme%2YtY&kcHqjcHZzG4$#>#Wr|LM^j=0MbX5~F%U1l zeNY7z{i-qzDsXTwSaMo&N;tA%!@3kM=Y(O%54=?T@@ig3^mk00c(8gl(s z85~o?b6)k;pDG2K##QA=Z}O=t34K{WD7#$R`AgNUkD(f$M87;}?Y&PDlODXiKBocR z>RqcL{o+KS=Y7q2M38%Tt<)L%Ly>-QtWN+@DpFt**uUt8>PFD7c*kld$W1FxwcK|z zbxkm3dunhRZSVWZaV66?S=?tMZ0!t^M3 zW<~R;RSwfUF}IUkmtA#DeqEy$YMAm9MHphmnkW#9(k}fRce~l*KuH;@YF_~chqMchSaq+0P#i3(j_8*d@mUc zN51l>k{mh$NxM@p!-_|Qc!|n}!vA8)ZCPhVwRx8smJ-rL52wA0w3nm@`0SM_6iY#9 z`L&l|%ofn?KXoUiWdEAH{te|aL)BrX4>@Wx*o{m-XRe3IwO5JPM zd_0S7o04fAm*C3PfKEpUSZ{=C61sr)Y#*Lp(p1C`K6dW>Nr{Ri5>=;s8o8i%<|&s; zsy$)Me?Ah-?^~b%ZoZ@O9KT0Srx=d58m`JA)i(emB(=ANqk$rlAng(3vV258|Mk5? z3t8)rv+6yVDsO>Ret9Dn)x~-_fixM);!Rvoc zmNmpRwr|Z&q)TruGbSlH^(asv%*S>CG05I>pxPxXw+{EZ#9z@V()R7@&?|tKCfRAC zMOAnp#KhM9%xd{&gP$nHoaZUd?IICK^x(e&J$`Ppz{1eaEP)a=;-D{C&1W)i(%BsU zk^?`qtKLnMv_oTx$BgEYf}*TPRO8n+GU_iI)^}O1eKo~yMgQhBmD3>ICw#Q}A0#<~ zb-`!*Jl<@=@PN!UM@B}UiCrPhh~^s@#XSTb!z8k;l?WJoy6gpw)Id#nls}gOUzl_^ zdKP3MDioir?6M^Lu7A?ZYr_B+(mtP&Jj8Qq0k_(GS*%zJm%miT$1j^NAY~#9z+mZp zols5b@#(;^{e0$?Cy53-2a8`wp>6&$#|Mmq;vkS$9o+#3gIs|VnZVWKNN|#_Yr@bW zd0isve4cLwjtPkU4iL?S>M>exa;!RSlPZ$OISb!Mm@$u>%1MP>h3>~o@#|4@E{%hh?GwRey zaKu~D4RNo^j0QpIeeW6IY?LhyoSQg_d~$+9f5QI1N@dv#K*p(w0R2OKY`rhZMl;S< zI0J>pAzArr@dY=ck~Uc$7pDqrAXits2ff@MO4NZcV3m0@reMx#4HI$V-P#=b+ovA$_vT}R{MQS0V`4tfLI<#7 ztnrhI=G%<&RN_+y2e)t?%LZBSZ&zzx{=`G&b5jlU0!P$xg5;?pp18r(L7^~{LgXY< z86-)x!*l`hW{=mktbD8A%Xwg{4|!oRB0?r-(wfE};tgC7(a{2->;i-yQ(C^>)F0Eb zeSI_}?JZh02T{2843&(R<%Dikaup47vE4q(okx^Wp_6~FMA_~H#2oQMCTww~IGdP! zPz0RWAhTWjNR}vR&?Ki@5bV>|q)mzv=F{rs)J#*p05w3$zrIG__-ZhTlrM|s?M0AB z`L^ITwVl<#n#b-;AuM%mr4OY!B_&8@6h-!wzo~~FPVlPH-upmzT{vT>O z5k|ZoK7o#Q*#FQQsNriJW>(QbEu)da2R&!7Y&cmxb-_Q?J0^>K-q^g#|HyUnOD>6M zTpf_OAmlk|JH&w~I5Ft)R8=6W`=Nk#N~}_7rwISB9@Nc9N+Pi>DNWe7oEvcX=zo}< zC_8c3Z>n*JOqmYD`Z!%B3(Q}XKVuz5Rn2Sjg0PiPSP zrO$T)nksIU&Dp0@d8I3dD~tYE;gKuK67G+R@*6_2C8meDeB6L~r73GhMqpC<97-pM z|EKh4FmMPL*}j@EZk^W%TyIjDC^Cdun|E z?6>%2wYFcm-Pe`%PB6#@kl9ut|3GwDanI3=O&|K4>;m4jb5@dD@8HQ&jP|z5P{^JV z4-Ru6dW}Wi71ya(OiHBW$LRLndqT$V6)+Eg3uix)8vm%c29hl=wJ5ARYhvMGFO$(l*b z?rU_MX6exjPnxC2pRFiwXi_wEMbkzp@t+AkC*IsFccX{OYay(6eTuHaotT=ZTK(ZrECM{Kk<#q?+&_&1OA}~K8~a8 zaXywCxlc$y)-RMQ{e1({2qY}qZBI;2niIb~i@$@mW_rguhDdsE&yB?wcLrOL>!DRr z0qs|2uZhicu%X98Hr`Md*%lRb7+B;+v?)>{(299%iZ++l%{Q5!w5KHe(-l8-blb4XQUY`##EhOxc*qXqx>b-=3XcZ{ z@p49EBcp{)d3How)z}jQtM$N6Vul@cU!^3t(baas|Io#^iHeGv;Yr(BVLiqIAh47S zlhSO3szDm@@;FmS25|4tE&E30Cw&n4|N8p9t-N>wE0k(8PKb?@i7v!EY?*|#Bbdq+ zwrBt-mznf8p!|fFcH5Mvev^80T^X+)(zTTb{P-?@_a6xFY3)CTqz!g^O@*Xk}dv&hA5R8)fIx)Gu|e; zlWsSZgNpH(d@8JzwAXyu+CDJTUn$2TfkN~|#T|$y>I=;7XLm)pkw?nWVeM_D{{EWIPN!ThOvrg&;t+x7|3ky7M!7-p1!f|m3otmz zo)#ba+@zusjIk{0iuB0QzAoC-){ubt5gumK>XA$tLupF;`KAAL8??I>7=XuxJVEt- z>kjit97Ptjx`NBO)6Cx#(c?(4`h~auilgTH8 z{2Ka&bC6AZJw)>aPAOPXJ|kCh7Z-`n+;?-YMrfI_F+C@~F;k z3U0byCPrmPC$n3l=x~W{YMz^qXdXN8CYM4aa-;jvbiOZ>;Y8XLaumgxE9MBKR7K*v z!n1spFAG>o!y2j1K3K%8+BU`RwmjV!Q9hSRW}<5ZPBiH#hynQX9UWKX#;(a2UBO=} z@G#<-q<2}PAUB%dXw_<<@BPfJa*HtHCF>9oH-tfYOrdW9O(QzdHIM*Tzapy0WhBVb zuDCafSJI$@keO#pu*@k&bCm4g)r4(LQmV9Rj$lVA04ss2%;#ebc}0UOC|uEM@zEl|`T|a@yiUEaYoI+iG&m}C)QnaDzwfOC1i+P5WjMf5aj3i% zd|gZKAn>y(>z=`etHgb^fcg^8$fS5b(c|W0`}@yRbdlRj1(-bw>rZhRUn^!#uiwq~ zKVOT{K}qLflRCv&K%io>*yU)t%gNWD==C4Y&5Z`K9go%g58`~f-$c8q_^DgVg2*3o zzLEvA9<4@puf-oYAfx3-J|%O7>8!Zhh5Lq2*c()AZS=>|^!|9gZW&wPg6M6R&T*hq z<<0=}(*d#!K#xfl(#c8KH=Gz>?GY$vuW&Q)m`J>ULGI`3Ak=~IJd~HB(7^^mlDJWZ z5xT&I!GgTnBUUoFwS?26C`1XOFe+Xq#}0zU9`&tFiX(JEBsd1{3N3#HyVZ&10p7iXXEDR2RnCDLw|SzIh(vm(ESp`29F^SU@w3T= zq*ip&!zm4bkqOVNgj_G+EtI^!CH#*@Ww1ml5Q@q2CmwoCke=!jB*-GVC zC(T6S0XY=`n44v9?38NQ50^bvrn4SI6l`l2$4q z_ktFAl%pB%c`{y~`078}#!j@)XtjxD5ZCI=E!?H=Q<&5{vjC2Xa}JWPxb8|IdKsGI zYefp#xfXH~bq*1)Z}C<~5-?<@AQYaDW;BtIwg`%bsL4#FZLSTvmrcWU4UNF@K1?~~ zS^Y6o2UiNBGZA7({zc$%Gp}Gvt$*3GJAUyhX?4TpAGl`(~J(E9+O+5#SJe?poQTw@kXYWpw$e=HCdl+2t^{05{U5 zF8}dA{O>MbXjv*2MrSPjES1*gTN{|ZQLV7Jco|ZQI_#Y9ASW36wU)1~0~Imb4Ip}o z=R4})LMjUVkmPN?_BOQfixbxt{qgbM)Ipit`ljZzOscW6DFQ|mP#FO8g)PT%2StQ7 zxtWG}%C`NSDt)hwy?s-y(1hd%EQGkxrC}%1P}!*1VW;?Hp_tYp275n&dwB^nMknF* zErH4EX94k1ksW8nMkk0KY2@e?^}P#1Zu{7SX<1?=fu~sZKf=|W-BW?&?KmWxfGGgE z_LC9N-cm+km{qU*o~#nKLRn7QvO2%}UBOA2ZsD5e{ySbhPZe@mB=@B1J-SFE4X=(o zCpz>Lw+b;^vK%jXpsfro(cs}x!CxwIJ!aEbp}pZV>B8)NU?@zqMw?!J;jTu{>tYEI zv|P(p9$gUfUF5MzJPMNpDq6@9BgZreFf zu&Ih>T20wtrIFM{^DaW@ZRs~4lwohFnhkTt;>hbj1Mes~(usg6TuSAvts@<}4;mI~ zm!bnNvtZ-98=a_r9;K=SG;1Cy4-u_COwY{JnR>;kBptowF6+>LPRUlO-HP#sz`>Tt(Z3@Vck%I8vZDnN8*>JW)nuBL5ddLd8DieFi9+QS|*!U!D zoFpQ1LOCqkyI1n7HH}K?zWT(>=D&L$0WUG4rj)}VQLN%lH0p%ahfscFJOrM$!SxR+ z94eG3Lr6F&Hiy>*%e%Nnt>$F=wlu|Y$dGr7>K)D(^%FXwK}G)I<77D9tqBL0eq5tO z_>-Kn*Yb{-$YCb+fZ(9S)Y#y0y4{L7N$V+xRTBUpw<#ihQ>41GW60OJeH?aKFRjssBbC9UwS_xQ*L|I&u->a+CGaVZ(kHHO=y9|E z$!Gh;?EUAD_-+|QfXHH33$;rg9~F{DjtiLPm11AogCO%|6C5Dt$eQWCpMUt@fAVI$ zbB#WTeOI4m;^Ci*<@XEWF`CKQ0|)*mV|L)@-SiqE+eXb2+S8pw?BCTzxv@m-;OaLrwTxXL@mc<@06%?zyQAY z(hE+HS8uelZpr|vkWg|fg8SR>vjFx*Kq&b0q8{koL3J!^#H=ro=C*0Jqe;lHmM?G`Sl79XV)1o-8`V)jn7BC0&lpO}XOrw`i{Z$;HcZ-ME1V-SN?HL~H%B zN$<9ijOjV8Ms>$j22nvnRy6QH8PmvQLB4%_uih7+{6(7=nidKxQH2c#YigFq24QuV zFVJY4aQI5)CI3=5g+`nao8WNlQUWy?X^i?S?f8cVWkIAwJ8)Ri9x9>B$Q>Kq^;$1{ z>oQ-$;So&f{%e-`ZPbhMlz?5O0gQFjPUz)av{sU@lnz}NwjbK6(@qu+npdL);|_6j ziIyZ){3Onwmi<+%-6pUrPgdxPiffVG&7RZsxOKy)3%1TE>TL9 ziW`nGY92?&lYq-H9SRLR2MQ;X=92(GyJ42JBIhXkLq3m=yMa%@6y*TKK}jb2tvP{# zeMpI_>gfh8WHgP=)7Q9w3EcCYZ{a+casYe^l|W=iIW0!zmj;VqgJ|45!k)HRwnxQvDf?xFnjCf?;MHxCX-m<@(kMwW%Pt2EDWx6i=1= zR|Qf|*ja_+Ey{vHl(_i3%;1=o07m=q1@+Jg^Q1+C?x8`4YqaI0jhTx3m=I8)>DPK7 zWxlR*k*+~}{3(d+_vYH;?#Ov1lbLIGo&damLzXcZJ$0|E0kmkFDCKZvex*A3mDPJD z+_`6cxK9i&(^xYPfOh*O-2K9o?Gh2>mr1^<>|)VSYHqsY#HNMbCC+U@62SZwPhh;q zC^Q#H{zYayDlJ~Rk~zt{Ei.nc=vCF;fL1bZ#QcvQnTX$$zB{R?-bS)Pqf)qs@p z87-!21$tpjK3r1wsFN>r;z}V^0LdfJB|JLU1T;&v=b`&;$bO6Zfoo{V#4&zHhBT61 zPJQJN+a!|^GcKcQ>+n}gqFy@rAFoWCRHj>7(X}z=%Mo~LXp{pm!eUM^oG%*>_t2N4F6<5nPooLLMQS^+TsW;{s;vz~MDpRTi4o!w_u>5KQWoZ|kc9hX5QFVXZO=E| z{cok!-I8L4Ake3sYXc_cce~uE!Y}=?3;BAc<=~ny<(4)Z17jpisE&>lG3zqF=zBEe z&ALjyvM@n?DCHZZw~`ivFGI&@L56CPf(6#wF3|NR;hIH7Ho$j#^8+)>u1VXUc<Qa}TzfVGPN{>`ED?bV|dfYweBAS{jE|8##POFZ& zrfF+@<(FI#SlY!_BYJa`@~x0<@8eBfpg`K2`04tE9}B*_DG^0+RlDxt^ks8 zvSMd_Nf1D~-a2|q3|CWnE*!^EvDe}#fD?Qn{}r`}OE+*%-~{T@Ld-ksGn-dP9_(FE zJe1x=-$uXdZf;~2Q8;9q4QEvqoU-x@sT`t7XBn$!4aX5}BIsj8=SIbosD5Uke7X^q zR=^|NJMvYwDa7zUs5Uw3D^Bl+(c!Bm9V-2km9Xr-HqB*+j5XBk4N+(J#39-Vg#o7d z))u0o0ZN3ZmT?dtDN2RbO?*wvmiAQ%D)lXz2Rw0Sc9Fg-lV7;ga&4ZC3du`GnHu3^ zRH6i7d6pbEol$;O)TZ+8kxsx)ic=$(&eIX|&o3f>L%Ejaw^LD`72M}S#fUWw8OVBu z2vFEgtxJ)X3Qq1QG8`12Z9_z3pg{|C8U+qYg-;4NKrA)3ZJ84o@1W7LAqoPK*m4X} z9L7B{zOG1I7&cc##18$Y*Kiv=sAPB;u$M7XsQl^bYB59RK1p!&&b5m~8 zeM@A;V$`y&19a+s`Evm?S8sZsV8VS)Kh$KlHbJi3<9yqQ#N8U%!TlKB-cFf}M;h4s zz?=3nS;_W=8I@RDgaVCc6tgEjYyBK*6vwgC$gIR`Q{lpS2Mo5=P4T0Y1|H{h%f*{M zCj)3|w3I{JVtb{gtQ_?qzzkSGsx;A%X!OB!(0|aJTFM&;KM=1p;Jgr3$AIcB$d@`g zn4L-&L1w%nwp*t(i8$hvmi!q(b&|p&@&Rb5c6ZO(1+-q?Oh+l6Dp%iXVY^rH|I+R{`6ZHdvKx2cJ{j zC=$aq2#vnOubF+xqF&=l$oqybe8f47cg@nNSFlmn_6KUDt`KkHAKlk4F@4G+Da8~! zvf;{Mj3RUeDJJ6jg|66bq8Pi2WJ7<)9h;e_9no!J#;5OSWg8%&ru;+QI0vjXfM%+R zhQlz6?S2MP`a<1$)K3$p0rA1gZUM8%did@Q;7;?o?Em{4bCkLL*L+(71VT#A%hNtU z0$h}oGXd!}ri1uFQ>+I-@&5a=fAyykiagxAjgE6d)lUV`yYYw&&(VE9-tzVm>6KSy zD&8~=TtFc6WflBc>+&b|SKphx&G0jF#RXY|Ht>_4*U5}gIzpl6RCk)~H(PIw(ZM&o z(NINffJ$izw-$9mtd@XSxRbW(lvFhYf`N^Lq;s@!n98-A0HcfEr4j$x6qq=0p(1y1 zflkOwn^VH@PpgGJe}xnace8GQJc@#Zg2xZLkuF&Y@_)1UgBF$jr!fJr5ZD-U0`&V5Aaew?i64deU=V|z35?^Q%@4B^?gJ|gH@Gn40 zMy=VX;EE%RtUvcp9{}oJ7@et_k^JlNCYMb!%3cl-1tyES1}b^#<6qk3{ZT91x-odZ zHF&K0KBQn+jEr9B?N~dymjU`QX<#d5R(67`Gv7?Ir zm7u-kmP42p6i4*2$wVvGe=ij1K2IuQ?hIYc6MeWE(yx~1dUr@u&xsvz4@}T?->V`x z#jbt;s`Yq0DR)_AJa&K@R}l>2HgrPF)sjh`7Vg&;GSBt4Rv^GQkQS^}(vF%c8%q9C zw(8#>9<$u&_RGS>S!8bnUDhm~dZE*H>q(|@IxIU{F`AlvnhkDk5LL9Ae(~jv3F8cz_l$E}ueXR9uhE7x4*@?WT zXr)5qcon~rgJw`@Ek*}l)cyXf>%NNpVHDOPUw>z4LUb@RgxS*iP)w#aYlEI!d5AW_ zAL6BX!W{1{R=0C^2V+tcs?}N1M1^?$rLqPo9nFU2Mi^}-k`L=|1Tx2FUA zy9{rcymv0_E`$q810WPwYdG8d$4$yEOnly7`B00pf5$LX5+W)uPAMzo!ie9=Ho?oi zX`)H=%pMhMrM#4?e8d5~^P7VPl*f1sFv?epdzz}>7iNP6ox~5I1OMo6I-m=Mbi+)Y zqFxAOGjiB~(BMwl%KP@EKtN(RE7@W>X5^OmbUOuhY2}q4!XjNM0wFY%B6*`0WSz() z(@`+2TfaB-QF%_m*#n^)X0J1TCz zO)@as%Bv@LL5pyr>-l!oba> z23p&JY{s2h04_MwyGNmwH4M=U5M^W@_ZRu8J`z4BEb1nK|2@Uc{v_o^)B+N>C@SiH zVa5p%n!rbKvUr<-jxrbH4rY40DFKL(B{Ey^EntV2l8q)>@mI2Ed<2pZv?DGfv^wPw zu*iq;!O!KTNI$8%9r^7dIi7Ic3!eRklD0DVV+htl7&vfR50UIQn(*j96A0s*N0F|U%h^^72 zGv0w#D7I9HLdSd_<=i)Vp*{s#rZsHs?O;CGHMeiL(mqzCta{Lyv_NGl(I`nbE(Q;r zQ~PM7vJc)1Dw|f^)X$db_r9q>R3HY&NlWH9T5iQi;mUzXKU{ri5R~6N-@;W?LQ!?Ai9N83+R zoan${n9-E?G^n+`0biY_91_xG`@nZ_4_XX~=?HT);=kG*LFU&Ax4_%qC&{Ox&WrP& zbVph&SBHc+fjAoRM=m^M9k3r4$0^HG;z4N!kcxX)1c~f>4Kjz=88*U^E4^N$$9E|+ zwt~EjO~2UTfbsb-7(k*bmgO7cA30?$;0=yYV8NO5+fuUZTn z_`{+~=e_Jyl?0L>ThGcA6H})Jw$S)baHw|N+DRaCSUzQUio$N{z^di{LJi}dgorYo z6;y!kB?9c5G}MVSd=-b_zwGOoYx2Kur&S0BdTmOx{H6KEsNrS09%v9YWm3VpOgYkx zypdGTO|lW8;2fY5(o}WAG{mXaonm3)wSUr3zSiWkG4HR+u$8?IqaWaUe!JsmWUKf| z-}5+-XgF6D)ebht65T+h2SMk=BnyzDH*|FFx9%^Wgsycu?D90PoIWWADINx!R91b) zlE0s}i_e&LMCQX!lRzDJO_A?s=oC*Vuz2_Ei$Ykmh?yJyh9##KWje%PEPxq2wz7#E zS@4#aToe6&vXGH=Hfoef;ou)U+swsC9JaNSTSS0^K3VmkS+@bOUm^x5G|wb@P`?qM z;q*?qP$GO0m*>JhIQ3wkW!}hfmfjFnvSpF06ddlegMa<@Aq`0E@DXnaOd_<4aX6&C z$1ep^j5t6g+^kd>i!@&I*1V1RiyreQPp0)rvv%9wF%@bO0xk~XIF0iUmOHNyGvF3^ z=4dnt!>|GqoQ8O@^T^v8$nED7n|d!#*D448?{5KU8HCuQ$XgSp@G2l=qMT4;wzXks zG9>AkuwFdU+6imaT7)(_85!atJ5_r zS#QXK^nBBZm@Y-A!KVzivKa_tt$;V?6~_(!tB z&MRXfYu0-@68zoq*6)^GaO!0+uUP`6K`8or`(}Ck--h~UV8=-OISG2y6rs=wNFB$j zJ9rZmWV;(@bPv56R01v(%aks~G>pUQF0&&Ee@8h$f=Yei@Y}YnI0jN0zj{jqBUo+F z6DmdnY={-~NxS`XfK5hL$$>XteYTLxEI`!!Wx707bSvn=DRtDWjyOzjbq_Po2BJ@f zacom_>2ULws>^|boT5l5u;~?il_U)cT3M)Zwsz(;6M(nFfgaX$k#ur)P=UfXRTC?n$tys}D?MdBNw44MR((IUM z7`M`)0&)I0h%@X%;mp+?$tZD^!J%eL&ZY$eE!`$mKKC=BMzpf>Lcxg<&+{UCdlORg z@hW|$F3TTjAa{41gFOyqb6TYm$66e7j}_tl?3hMY^}C zsczoNXhV^fB906?D@Cq9EuLQ@VV$%SR%%ttQxb)Z9*PoFk4;H3`9W5VGYMp^q%zFa z7C4!*u(hw%lnWdc7F`{vL5@(+#_yK-vY0jPbAaNYR&$f|UcBm7X=>Y6$p`JB1#P$fGu%D3$G6ve0=ZseGdx?0NL{#JY;lX}*A% zHcjZu>NdJj^77so_bbrrATx10b;-_e{ZY{8{D=6#d%XagC0yQMqb$oY;8mIEbZ<9T z%?``?XnvhA#M+QelJD9+1i_NMk8@Mn&Ak?--Z%b^ofC3pfuCfn8CEgQL^0`W0_a9! zf4!@audIOhtg+V4T#@KxwNri*=1X3X!d!LvU;_D4+-`F$5vBX10{=u|(^Gpzoorg- z4!Wq~bghQ?8F>1q&zV#x5LuVe2Ce#4s zj2fZ*78qP<7ocv43!UQcnhkq`?f?FoeU=eg%TC)kGPFM)90TL3S|?3x9L9GC+MnCW zHN+OBS3r8ziQMNS2{+2%AXlPKO{>66@7g%g^Q?3@>znY^OELE_5f*2)7jTzol=NH` z-P1!ir7a?F`>f~)`y78eb%Aj=w2qtkk1UQXoQ2+wC3vXQK>9-!t=VF%Yi?55Ts+gg z88PRVx#gBTj8BID^<|-WadH2mxf%OOs7)7!G{&UQF(6Seq=hH zX#`|vAEF{zGFySgxjGZc9y}L3ihHYMksIolezD04^0p85d0ed^zuf`E6ledL2xORK_DJGH+82ynDGeRm`t z=(An^_hcNnwoy zzI}+3Ig_=i1|m22R&6^8zb_CpagSU4-3^wi%D!+qW=pi@83*?xRXv|+OTf8_cJ(8P z$_oBW-=H4}?%gjY>iFzZXkAkE&LG4W05g41L_w~}a?+KWYI(P+8A=@pr?+_I;G>Q9YoMOrB~3P9a*Gf!oop1! zm!mbl?5f#!f1QW>{1++wHC}T1V53fy0y2Z5hKgsH9-W*z3b2bh?w3mF+X}Z0x!Kys z4}ANM`m#ftDy`u#*!M>1w<$EHNLjZAHP0<>>jHm9iC?QMC<`_6sRO-}@ehp`73rXc z>CVZux5Et#HQRRr?wl8SE^sm3ffaoav{n|X4a`MXhzAe_x~%p2w|ygu#2vdEd7VqN zkLXo*RpK1Hv*Mqk&-Sck3PMChP$prPXagia5xQd_?seLFtSJ6@h7nY7L``uzFfZfy zg<$&FrI3d^Q}RokMM?Y%*!mx){mCCWw35d}ZZEk)MXl@Y2HSc!6eAXBZsNaaW%>tgQ8j zBK=Hn6K&ZKS)#t(i9is){-yawG0SiMXii3~c_e9zAW?Cqljk>@K25>k%ZNH?EySoq z89iXD7yZdEn*4Xhpu3NBR$9gpk2{X;UkO^@a(OBagQiM;1gt=B6xog7l%F(={r0-f zjO4wZ=v)V>Ud@b?W1pO3FD(1(bH#NJg32)>=RtS0qrFkoUYA052PDMJD|m&E779j@E4Fcv zg!v{~S-eXNyR&=Qv+@{m^y(ln@D;tPXTh>eA`=FALz3YN?bOM8_5TR^8+k#g$r&cj z$LHY`zpcs_YR~vmW#0#G>*+NRP^IM?HF?sg@19BWMJ!ZpW-|q6Y41S;vN&PD$)m8x z+JOodKfw`EtVWg3qb5sI?uWlHZot;XDN>=%i-v6tGV!hySDn1O!bwzAH_mNppy;o#mEm%qu986W|?45M55_=#^n@fFi&2x zOfG^&w-Zqe-Ap{o%~I8*A|dYYoXC=cUjKxk*PL)7cuXGdCSyMN znO}`atE8{I;U6hkw-5bfm{iPo{40G-@ox=+GJbaLo})|Sl%PpPG|X81d=jQAj>-J()4_OBr7tBavgwRBz`;^35h+8ZQ(G>uL+t!Zx@<9e$^t6`eN z%Ab?g6BM1W6kmrMEOk#t!;85MCStlR9F{3jGsG7M!Xg(Hjb=7tHaJDeHy#SJCwbF>#umsrd902A7B~;Hicm?3~`P+VT?8hhz^1tl4Hv8Tpg#rB^?{sd) zrKDQ@-M-vep+__!n{D{O(Cp%h`OEfYTbIKxl_pcqn~@p$i?@LVOMHe76hl=4Pm;^6 z-&VZZlgjx8^-ok{#EW^Z5|YbI?eaSYxnR)d7F`jiin6U{QH=U!()CFx-KkY?Y64*| zcn5CeKf(p{BCoJSNUi2FE-nD7@OPGs!(r9AVBo{&ab=n5K-4#b<1I8be-&|w#W4?=aa)@b zI<(gqy@JRq>aVI8?(9n~+V6u#TQI;)dsyv`@awyrsRcv1Ffa0~(bwQPV_(!`&pv9! z_|;C-&HI1^?N>SW!W27uHn8gN$M0i1>aU5*o_LYaOWoqjqx<4xCCNfO$yrJArVaXN z9p63o)^Nq#>jc5BZ9P&w$KA^_`m195zb6$hqw%YfAdI5ZqE6Lk*mItuZ0{tfXnJoD zA${(c%x{nL3nn_+s%l_MaXtDA_kWZjU{zbn%z@|d(2OgU;*z!j>9IwB0Hkk=((4KQ z{QJB7-UT*LW7P$pQ)?y4KGf5SB1GaAwFirG3O-Kj1p}_V&GPSb%f{10C5jMh1-Lcw zfOK-e9#IdBJg#Wx3O2*5X>gkC31$VNdo88O`W26$6u7kHGA)_GtkNY8kIN?wV*2WF zIe?yNYA-b_PN@2Xif;Eov6~-SZVq`B*k%n1d5tH_H$@Fc zv+W28t_e^2DN|^zRkRf!Ai@xr{7EW^%If1V})I;oXkwka4kDr`~+ilFVC*p1RrV|5c% zLD^{K9{w!+@726X#Z6zyIN^na8W$Lev<=-b3QY&epb?~PalSg4hs)_LkWHxyF@L)v zVNHicf1D#)=#zUZI#vSWnCLbWGS>A_W03UyrTeRWFc%;P)-?VdNrG81e|gN&CyiJS zp}+3T?@^>weX^y#>TYxe#S~3J=uaF%Bj_qqdYm{J_n95lGgLJqFl8@e&x_5^+h0LB3$OQXYi5f4+H7=U-|N2I{-g z7kFQf{cXg$-u{Q3%bs}03ucxmoeeC)>r`(JfQ}YD11G!-w1eX+8A8|=xMgY^`8B(I z12D-IWr4Ls)-g)uauULvNhX|9U&pYc?1)q5lql>kcQBE8AKwDoB ztF6EwFBAP+qHIz%7WMk*^yf(zI^l#~vTqU0CmtwIt?^}78VGFvm~9MF8S1L2mHHif z^!xgQx5)(nBK^$EMCS}t$D(ZHrT>a1lu;`frL{*LhI)9xA{vP>y7*W0^6R~9)Edi$ zT`^N<9r8BabmdU&p-?FWaRyN{@3mpOsQ?Rgbrn2&QQFXGrBu-(U%G}gxXa3V!czeL>x&2;3O)NhW7Gg7p^{Ga-?q@6Q`ny_X*L{Rm|Z& zkk)%O-+93)1_??7KY7Y|q2A?b#gSv5AOP&j6NmdxEY0fB%-ZyVK>*Q-I3ba=_(71@ zO@_;-f?CkB2>TM%Rw1akN26{O^>bsha>%;kE=0P`tU<}P$z>SN|6U6W9v`(wN30sc zq1{H^Xck^^+!L@qo~S{IMH)uX9{SeIjvNELoMNb=HSE1Hgn5=l0b_9}Oq5P9chX%7 z@ZK9Lk)*pMEvTRd)PptmhH6QdF^SyznxbtA=CUoCEwE_rEphWVt!8@*q#giqIu0_5 z?-c?J&akW8%Gi=m59VOM@J=N`(E=ukil$X0Xb# zfT9^C8FY%gWd?|51-w5hn}41^{Ks4K*Ow)Re0y<4=7#m>ES*SVhp6KZFVokkB03kM zUsP5R@K6;f{1wu3)w-d?72{$fg1u`fPS0l)NdusAGC{QZ80Xw)ZnVo)Yp?p2ee1ye zSPOZJQ+wG#rDpU&6Qg0zV6&&LSPlYMY-@D72gr8g>)W_omZ4%gS_A8-1W{{ypGnKi z?D>5{I?@9=<*cTkv1Su>2d=F-WH87qOT&El{0;I%Ujo-y569Oz}2RukwP#1D%z19%vz+D>bQGV~|8W`(M z+BDw^x;%3m3Oaba%ijuA3X%yCe9M$rTeJT8@gg~lWT(hHq5XJ>sBIK@c z(~Tb9DZeBswwLrgEu*T=;Uqq)A8_2nD9AgI8tB;^J zL_(uh9sWY8Itv8J6umj5`fai$MT?#J8{1!advW;H2Y~#KU~n$jLrA=~I?!^I3|cDf zzPtHjmp)rh#O{4j!sgJ1iMn&U@az2gS=i^fQ-@RD$32;;0 zDm1>cUk<)M1HzpMa_3cAek@N}sUmcI!9mNAjWnNOXAj4$eh+^FgFuq$M0-#aWxRErj3Od;vygA~K5l8crJ!Sx7+)BKkkesSuMOdA! zsH%bL6ob}@ICAIwk*?cV%v(jNNk)%w(FjJJ~cf;Q20$+DZwwJzY0kb74Tq6o) zJv_@Cup33U!R-m z4((r}Ss#Q+eo~}JA%T}`UeyWy@yb4pvuA;-g4-3GC7r!}&)BAYLfZkzHEhvNVMc}B97)Ji00~%H z7PsS4$hOsTaIi26IY}m@ygC9e%Cd>SoTx5wk|>~=HcauaEeej&+`AJEtjA}_@!H}` zR?M}ND4IKF@=h!P*vRVi<+_yLB<83VHcf5TGNhw@Hb10N)pH2yoF#?T;%rre^!d2a zHrWh)?-a3nRx;aBG#8BnsZi&M2XAEZh(@wQ%che>rf}#Nt1X%y2xo4?vgpya{4j`> z^ePc}t}%~lmh$wphBo|{+(>p9=g?62ZPwAtAl*y0f5%yb`>8#YOwb{hc210$j1v8s zT>R&NDz(E5X&lEmQE0DnAYB+r6&lhb=B9JU|5QM2c}+PWM>ZbiHHi(Q{CMB6*b#Kw zA$hilo=lvLx{rbwLS1wx(JJ<1_TTiVtp$XeoBfnzKaBwY|lg{NzRE$v9FjDBwg2KIhQK`$gpNxFUVijD0HW zm);|#Q&5*3XT%{f;FOcS#unA)RY?b zU^@P}Un=SC;zoAo3mXg*;%^-eNuds-Z+AfZIV3K^6#n7=vJu{r(()|J&709!Y z06%|&s<0-NgZgR*@lDP=aI8Fbs4_TV1cti90ezL4$%de61s2F@2Oo+I6ExUdVk$vt zBvXJm>Le$ePpZt_FpMW1{GTVof#?oRjx%gkdV|q(llaL7YvUcoyz!945ylhJ?)2w< zvNVB?*B1I_BprAzBEO!!sDw4(tHgu%V0@)unxF`M^jwXRPq$A z`;Ji&Xg=Z)kftXdk(r=rSJ%@1b7O0igZZ5G{_~VxfjH2PX8*^7c%M8yN8NwSE(t2moY;OFS2 zI@uSNoWc}dJ^Zk&(w`UQ5f0EqSx`IJKqo1B67?*H2$8NnR}DKRC~fvQv*HGwM%;Wb z#uB`!1C~TS`9d0g>(y-_o2hho_BABw8?zPVdmqSAE|dNX1wro7$OwF)Qt|<%5aL2k zlKA-IK?e(+q9f~|YCk^2vH+qO2W=cJ?d9mA*sG{Yv6s?c9)}c!yG`$8bd0`ICvE;^ zMf|E0U^-E-#oJe5Oeo``fQ2Ym$O2-?R^>KRZdxTXc6eL4Kl?o->upBgBd!p;HQT@?DDFMVGqojXv9`gNNeBflsVKHI#g- zZ_~{ROB#ixm)zNXqJZ-lXtpbz!C{2`BITZa6#}1o*$SJ?neSTRWEH`e;**2Pw~7i% z17;x=EI4!X%P}^|Sx=Jg|z#dHkEgv~)-2{!?hR z2I3E?0~QG_4p-VBJ@%`Pn82islWS4}!to1u$rF!yC^H1!IRmKd2=sWMV6}ZC;5Q}h zZdfMBw;AOJA)cbwYa650FW8;ssQDq5+3&|v%;!$*UbT5PAvJeJZLlUU4R9AO7*C_a;bNk)o28=XDaz1B=8d^*J-X;GW@Tq^(b3sm(w0HLZGChR_m-=(w$ZL#B$;pG ztDAJhpTvumrz6rfDnZr>H1-60{3163Mn)+d4o*ZZ-xh6yPUAL!I9h#2f+3PU0^cTt}u}Oe98xoKr+6T^uwtJ#JTWtkL4y~-#=(^q0-qd)v8vI+>6 z#1JLaeecqK40e0PzhoW2MRPzvl^z9Ko#4mg=G%K@c5j!FMZqw7CyhVXk3CpVuJiwV0T`I-|ZKz0RWOXzj_V56$>4pPmd0NwyO6YED3>hbEO zsbDFoXbzQzI`0Nm6bLy?i?aA*&vQ1sD?yU{^M&l1OlIv_PVg<@OPrf!Es4Y9hPjm6FI_Ps#l??ML*2QBfH zvbWJx-PxG_Sl7kmMXagPIy*x3PnE_EHIcW zgta3wp%1v^%G3(?eHUfGB{@l?6y`b)dJJsYP3$ucK^19w6FlSOIA{N7JR^M@33jxc zr(_p_rU?TQZJ|5y%6eO4HcXa?K7p|J@rQUB7|plk$0Ji(U&L36KYchlc$a%S`8x$@ zj7l8^OyrDCQ&2+7&*(n&XPQmNTeIm@Dnntb@cZ7Hp)`e?T6-k9Z> zWG0vDJFh@3ep`~nD%-9R!shFkN$0fwtrd&Ck7T1irW9c<(#*VQ zom{XJLdZ(3I9`5iNJ3J5r(j$RGjo+Sj?_ zXlrvE_1VDcyZeEmp;Z-cpQe~mgOI9E9I`g4&OcTNqk-BXs=>!` z%d4}kTXPTi>9VO#r&;g~{aZPjU@vMWgwpW|FUyv9+y;H$*DaYlIMozX;!SP)u&|!{ zS8C1AxkMvT>eM6=$Y~0d9PnyaE&RyzC7t7=p|}TjO*u#z-LItKL(9tY(k8_@`26}b zi7RM%B9tqfj_rJiWXhl7cW2@CH<)ewwy15RJ>#L#HYnDF8>;3UhyuuR5tWpSObW{j zJvSl$=1d)vsr!%}xSD}(L78irJJj9ZJ3S>Ls-1$7} zh1GuF#lxmQarRAPwj%p4M%ik}4k8<+$`{()k1GT=#|B2hYopSq@;Qrt--_ZWH-ysl zj-17)&IL$uVwd@b(&3n`is658f|KEtj5Fz>?E5CJ#x3_A*65W6d0KO&N->(ziNRFr z*(p9rZOn$L|B#!JvOE-6*b4OE8gn5zaI8~|4jR3U24Wgbb~NTx1{O;oM3;=FhYQP5wse(-F3^D=SzD=Kg% z94b|zmh2w=j!knT9TjAG%sT(~b#;&uHNG5kSd7M}J;{LB)h*LtLE(6-6M~?OCxq+k zb{M0=DFsKTlcHO7=y0Ti921U745z)_HwW4-&-GVbF` zSb*VLn;1CqaUEBH-wGv9Gg}ctYF=O~3rhq*S}m7rv<;Dx5@a-ZW#W*XFgBTWkk_@X zgI5EI&&LhgGN^xvbp-iQmTc{n>&>TH^{%s5fE zkv;bq3iHoah4*+bZ^ME1{BUY2lXFsSE`~M=QMZJpkTxJlI8tD1FC8PdTnV}j^fXcA z3|kn*#lc8Xrj{rB@6U}iNV6EH`J5!lKR`Ldd_xSQQe2vM6rc%4Rx$7@x{UH3M&)nP zd-#^-Mx67V2?5@IJ0U9=>LC*Wu$h%kM1#?|C)+b#;yc6YT9tN^fzJnz@V9+?Q;>s$ zlT$zqh$s4t^%YGHBR8!%fca9dtmumK8QZD<5MloN`s!3B?er7RS0H#QkR!9o9 zh=DGvOx+Nkaq3<)Ih#v*XVh#?nrtfos8U$9((cD3$X1*?3MK@%Q}j`yLx5lUl5|1& zUJxtXqd{0?>5KcjVzm5{Jj8mgAEHULgPVg!bgoSar^IAlnR&SIWD$Nx^WQ+1}Bng=?&XEm68?dagP^#C%AoTYiBb*(Mo9++LF~t)Iv;80Xh9h%HeS5n>~U(M6Xe-!|;IM*Mk% zckwMk4LGUd^;aSX36qqAU1*~I!KT6E6JJw2?HjbC;%Y!Zriu?LKjL+sj=;T7R&$4l z5;dtL0+JGDP}se;L0}cOsH#ijL0X{=Z5Ir-TEZWw*4{{;mIe@S z-G|GEFh_C4m)9bbkMvIw)aleirBe`rl&ORuyq6UvYe!x9G6#B-0c=13w)i_1eYQ%F zf}OHTM!FL2BL6 zaX4iqn;vo+K?+*X$=z|o&UR+mjQENQjAZ@%C!i3A+%$$xm!i#Jx@1XbZh5mtAg=7mD$qg0k}FfD_o zwp~CxQ-*Kp&6t8J8i;?liPW`cHeQy*87PDD`?O&I)MKH}Op z8uxe2*A@=rpD@$Ezv-}(x`!F}Yh2<4r5_3=0TYsJ;xyweTMr_<%{#s*e}w$~bB8#^ ziLP07hivchv(T9iUri3 zgv4bF7StjTE}B8Afjku440nkGVGQDE$G!g)YJOwW%RK3O{)Tb4bQ7$@Kml=Q9EY~4 z!;9BxuAE3H#e))ch~Ke%beM;I11tbxtBZN%XICWhCx-gZI{&h%<@%{9cLGnhOEcBT zDnpC&4-o-(XKG+8w6^^z-uv;}4)r?Oh@e;mgKoH&BN3!jjZ&n?03AbIvm0)dxZ!u} zFgr9A-V}zTMTgQR?TsHb02<)9{uG!VM<7DnN8R-=ZfuB=GUIMC(jWT?H>8jpnehrE z)NH_@GtQplBmtF1vFtPalRKKkm+r^blV_|=<{?roejey_^eE~aqe3Od9xdx~J}Ayi zp_sl1(r`O)!B=Ayxg4(LnZx?O?ZaCGPIDAHr97A7a>Yc^XFo3F5%tz~5Q8^8}<7Yp)o%dUz>8hdH%8HY`O|FRoG9gJAW+S=x zM~<1>4e?;nYJQMs4#JzdOL>;|--UWJ8kCCLz6t{CL>k7V5_vu|kpCt3D{c$JSc^Ll ztmB}j0!RNgR{=v+M*a?Uf)b+UfC8yC!IFsqdd!lvz>OECQWaa{tzVtEXJsxr5Htq% z0m==zRVM5x_UnDg#mFuU8SeLeR~vOCX5-3XrnrL zIz<2a(sIVnr}+h!zW72?OK%VCn5Mr>dlCy^tSXiw}aaO za!6dpl*Og~Zd3N#?HaEn7&}}!=$N#UBbL1|E0}m|2Ng)8!6A;!NT?$`^vbi`XI?rR6ivQDvq?Rs`O)8E0fG5O+H?h$;XZ zi3UVb=5P|nM<`@vUWF*>2T)OZ40nZGtRhtkAw^_tsIUo9edLtnc6%1{fI1p1Uc1Hj zCnXy>p0A8PpnfQuZBi6ee6<@ZM#&u;MxFi&9r)3+kibm=;F}bDHZDvKaKWQ+no!rr zp;s_*Zz&$7Pzmj4%#foW_l^&XG!XF|)&+lebl^i9lr$NL|6=wE^^TpnCxG}?G^wgy z97e=rb%^ggF5iMOp(%6^j32I`Ei(F6>_w$+smPBkwnc4q@_spphor{SLrpJ1?{%Yb zAoU>5;EfL0BNn}0+W_Bnq%7h zo!W3N2$9TiXZ%^BY|@2F5(mJ`Su15<78 zGKp!vM3cA{=a^I*8N#W_jA5aqAMd~T3MZW9L{N^5PSLX%Z76nPL`S;Wc`JWXTbmtd z`Qv|ZfDMV9TS*iyBx1$Mu4KK2$wl?-B(e`+)P_jQb<}|XE*mOOO9N)iHTB~EcZ%oz zyi7F#1)7}Bd(h}r>Pr|S$uWmHOCOhA7KCcUPU!>Q#L1`FBHbIhpzAPd1=; zk_|>FCKFknc32++9cOkZWH6d(VgplcD%=7oVQb)XqkCPIZT&xJGUmY>e=0Qt4R z&bXHz=ad68TYzsT440a)VZWus7wNj4jOuIyouxG(1;zFA9LfH3`>yP$#4!t4lTk?f ziv#Q#!Tl|Zl^h7i&M5P#sQtcWCcOiKf832C7OT!Su(uz{K_x57^tI{ji#uaHGrjKR z`(Z6Tu*2U8-g4U9YNTF0$+^z+6Yos{(v7fh#E3agp9k0VPKsDY60;ix&~jkZUWOP< zUA!F>ScjK@$?8!M&^4+|w7H<%(S)f1g4Q*ltS|^K^YGBY_p24de7FDQT%j>F>IYS@ zX)i~q?mcQ*D3!+*k5oyoC0n@jnuZpn$5uIsx9SrXN9rSKo1j<{H)*DzDpf$m3^=p#=fw+5p+bjF z?4Xt!BEU>IYCXPe8PY4TnN~mbC=&EH;!{5rcb@32)f+j8qFNi8D1d?3;u<9#z}6wf zQu8?nj1%=Zdxhdp<(HbKEaKn0SRpO8NS4w8<(;vJ4}4Y_2vxyU1xovHo4A3ce8p2pj6x0+vA&GNO)gHfj3Tn$yCPNEH|Bg!JncsbkppQYJ1HbgK~ z8XElnzRoR4a$8BFYZ&R8b|EtWfxu(`8=G)2nO&?nl+EAtRd-b;3B<$wxPsG&A}Z>< zSEQ}>0wk*wEwL9-n3bhc8jWh>Y=hOY*26v~La{sBxuZt0Lax-M7!|{DNxU=!^prl& z3puJjhM@U21XyrRHtA1#zB%NyE_qz?iO0&O=D2}NGDrS=3pV`bwkkTqhQ=JZowB00 z4feEAJ~i}ODe1HRhnUdc0&ns_c3v+*o~ad|HmD>y<8hEUuOmjyo#(ePgUmly)F(`F zBuZOgh;6faq2T0bjW+zW-)uw&6=kgs!kf6qr0!VA`TsKt`aHmqxi0ag7ru2f%hxw97 zS^}t%O9AnBCT$Sn3SG1ji1#eYBbxG=m@9*`w<>`J#dPz%!8csjGy34KI|6kTWSLHf z!%<^R8o~}Og%Qxy_Igh8{y0)}xst(CnuTGnkxJ0dtC;EUwaIvKEJE0LiG~+?>R#lg z0*27MEkzk+G4?{EfFKN=)bH`x4p^D$r)|hy9c8QO#Pl$6qwpv^!B_e1*4E1*LnyB9 zKBzk{61a$Ryc6gEKsF=Ipu3y~OZlM2* zHoy101&k`OQ^rg@nelm$Eu{P0kKm85DtHNnNr!(!vQBiGV^Rv|1$HHaar_o_Qby5o z9h@LJDP7j5!Igl-rWLeAiYSMIa74X?$S>_>8oXqtCH!s~Bojx45DF;OINH1c+1{fR zIBHco%+(6KQ^ZOJ(8rGI48UOmp->6Bjc zfeLnTOfK~1YE+5a-}v=5a_Y8#0S|AE3n$|2i3i=32OCw>w#0-rbp?ch;{j;}-*Z~*_K~1to=4Phl z>1|gM5IrDbg2UGuw@*cT=XR~PpvEdEbu3Gc%hiCr()!i#RH>dYgAB=t<~-DzD1k`vhHh6?>+cM&Gez}Z`#As z#@M9YAxV)dxD3TqF8wUIyyjUNXE1_5Mey(*8Z5){YR6TGBsJP5(Aw4% zgkk~D2GfXQcXj}HbIpM<*ioodZm!ko#q5vkDBoqEAZ~VgAxr5gh@Jvbg034M*aakDqxE zSXW-84Tat8df*8q_Zj#nW~&l}51xcNL08aWo@?U0uTJc^p#4#hD}W?b&dqoXt@%JDeq7a5D9@0CW<_be4++msXmo6Xld1Ia1DT*kcYXgevFFW!F1KR3*= zqkn`i>!WVZ!)lETD4uaeTQoK8rF1-jE-;ZTLhcHFln!SGXExmg{J3yan~-49zBP>@BpYDS$a zrBp{*>*S4{)**mLc%+kemAil)57r~=;C5Zg={FYOb!o-4T#~^>Y&4SxovDgvqeFsIjy8j(Ze4k%NAT2@7p^}lR;>W-7e|JpjCUMZo zl!Q(xD!WF;kN6&rJvCng&5A)yq5`-*DFJ^Jc;cBGw2qE{AcNW>!-SFn%BHQ}^yv9u zQ)VL*kWt^Xuh~-* zZMKzy{-fg{%Ma99U$F<=S&KHf-!y5{}T7pDf^g{_KN1EPfXA~R(2*^)vU&~^p9hWDLS|x&U3K)q0Bwk4n zC23&ODWLv)D;U8SCkihV07d!S8mVFx(lSVf68)6LDFWjCkAiqovb2%v;r^@k zTbda?pmPwXcbZIPKTo#5z9e%nNvXZmz!;oO0=N|NW(y%mbmA?HUt`e0qV$cfWa<8M zmGk$v1u3*I-K$Wh-R=0#B&~aR2QBPU;obo^;K!txiF}U*0KYCm|AZ32c^DSW~G~{S}1aD|2DDqQR-l zh)bzes#5h^%u4dCIAaL^Dj|NgLeFi~CWWMQTXY^mGoOf-4kksZSwV?;HmP$N$wT`d zq*{$j=GXW7&$F1y31y#n%xnl0Uef?LbDxHp6=sSq!WFru;ZzG>Mjvt&$U|TA#63!l zz6DOsfuUB;yc9=q$_(%qI)5Hi#S?1DJ9(H=`r1kSa2W*&?^nl!zbXFzldvTk2o>Vp ze?xpgmp%`iyuKoo%I{hs{xb5Ie%{P1iMvju+>a?!w$Ch3i5k)71N6Ib0JDddkmt4PT3$R|5M)}&F7;sbSj;ctuQbGTePPJ2kV$o#}*`R z=tG24T`SyTg9w)&0#=9htcudznZVWWVDz=)-rf$B$h8Q z-56@<>A1MRz4j88lczVw(lCGCOy2=Tm+9nX&xOWVsj*<#Bxu$e zM95KwRv`;^v8>f~>cK9HxiFd!fAQleQ$J$0LdY%EG?A;*Z8@RRx= zJtd?biPNoDD(T`8iSC-*)8p_msi-n(@j(^1cP45bsaxEDg~b>>i%JeW#{~&s`DCME z)Gc~!Z+@x?SD;{>=mr&YH(#cr>O2&QfBzZxF0zD4`$t0-iK-3ua=zE;3@a(2qa8*P zw`?-Br9C3sNh#hEp^#KbLCMI28KYUjP`|CYXD7KoA(`vm-igu|FM=?FU%w=IQLnlHheGCdhSWKT&)9)hPU!? zO)z%Gr`Hl3_-JxUcb@=-==O3T2nD5?@}gQx4l9SR+dBEgmfYTON*!GJ0QEu{V!>|| z{l?+Fz(FFkCbhQX%#|7hBC1Is2ZW@z6*8qRsd9#$j|2zRg9`{jn-ZFlOz) z2A1CoZgz9hU`j(yGpaRwR7y7bTD<}9+P9aN&@>t{Iix$42=#~acLyMNiy>{H|KmOpadoWNboS`*@NXE~p@&tNU36tpbXfuAE^8PE& ztnT)WVtxTN79#gX)W@0ldb-VC!3ZKrYs)XA?G?pfWzImMO6@pIH;6}+JE4hj#fXXQ zR64hU85lFmk#KX<%uxQe}&yVpqgF zp)>M6Q8(4Y1a?hyen4c`ZAJP406YGiXGK@D)~Na`~VLR)AcG;1IC}DB4l$ zYZ{bTwQJ8`UM`^qi$G18Cu!`~nzU?;Yq2fL9X+6hF>rzB;v4lGw;Jy<&>{q;dIH4$ z{+2*VkNjhG;lLOG$^`Yk6m&v!pyfU$>nZ7np2CyfxUlHh(Pseab}Ct8zC?r%YTAYEkkiXw z09clt$W1$nLQ~c2o~s}nP~`}}p~rDAecb{X^q8H(!#}j*`UX^lj*LdpNLzCgs*Yr9d$zP2sJay%O_#!rW+Vd70=KHVZk-ut2i=~kbRMX zIBJOcfL%TJAofD}g>jwMYn_x@2XzIw)UPydK_05_L7HC$5Ow&bZh1Y_Ptj&NAzaE@ zW(M-?t}m*j22CefcT;d5;PK-dktD1fC52nK z#@56>CjlLy>3Cz_4w7fzC$d9y#E$X3EB3XMzU9LI??uiO`6DQ* zafmBto0gaH8u+IC=FODE)fLhJhv>)f*kQn_%RfyVY>RbHWy&O>@EiV8j*1JUUV^P`2kCU%J znQ=yUMBA=aAbaWN4YceZ{+P@lw>B!rWlj+^*E*u7XQvON)V}+k&Bu$D4o+5UiFYtc zTZG_;itMl3Gupr+>>@FdG1ElLgm*9gp1o(mSem)D4+qk`vfT{x7EI)^4NDk}v|$xe zH%-eS>W z#V34-E^WB8Ro?yKmHP@HCh4f+2+`_@W^QBSPA7hzEujP8>57V~2}3kjsq%>f1 z5l1@Cz?G*&Q6w&KH^EopVLM#2okh&jz>*kSN`T=Qh}ch|VEF}~3TV#rK8>lt`RRut z4cy2xd!6s-hhGxI9}i(JKl^^>9sjD^Aa&J z&NbXnSb`;{4jlb8ax1aaoorzEMn9a<#>c(w=h6 zuP|5Ua{9u>xFq=H(r_CV777n0ZdQ-pvodqkSC)OK6p>e(dbXx`%8mLz1(auCQIl|I z!*3zHAEnPmz0qj`a>FiWo|!};POnls+GY@z#M|l<6K=OD?-Bk$%@;W>mZIeh?!>xX zTwxfE#FtGkOjLh!SEw*gP8_}XGE1FdN@`UFo7t3=QJQ3(dD76AJ)6is1mxPCIAwi4 z=Qy`%$#XXOH6E9E6AZyiQ#)9>2%b_cJ65;M11mWcbbiF+tiZ>#dRXmjZ(tZ@Vv=B- z*CAacH-O@pTo*tm@fNlEBmRw95a@O~ECMJUHU@1H^d5sYAsX;On$dG(P}4WH*CZCg zh)Yb-b+opM7S-r%9-gAzen?y=Wu~CgQ}bT>SxY}4crZ=aLJ?TJ*$NGUiRclz0iGdh zRK0mCZz-j)pi#3#S`>$-RSYZEtd~XM#L*CK?Tz-^x0ho|*RNdD-+PDrC9TefxtU^K z@eks?q_u+>)f0BZTX?TQJ_pycKt#$i8lhJu$9uYdzk{Q=DnZD4QVI(^v_rUvSqY&N zZ#V&?q6DZ~enAAR#A6NfS<6QFzmm#2#%0F0=M$C)QOJ2EL5=eV6;Ef`1=LXM88`Z4 z8L>%+ufK;PW|ei*d{WqabTNy9Z&$RfwNw&d#>doKP9G{hac10yJ&xx4cRPL#Y%ytz(X>@sn#@dFr z>}7~2w$j`|q3hkTc9rrD1d{P2ZzQ3A7R(UY?RrLN%j8>8WvGzUlSnRGiSHJi_0qZF*D#J%H(D**;F;grb-rOuuQL27THN@7JG zr|>Imqd~DB6~u7KZA7X>AuC2{R8B4?Bz}VE8lrDP}Wbv%HNiz-dq#&|wbqg#Fllo7an7u?& z0!xWgKyZAv^ce_yEzyXHQZ~}WN}LJ!Ulc8$7IC=Rv=eVjE+C~a= z^e|Kia}b2r;m(d))zICgsIT>a?fud2800D{uKC$(e~Zt(pv`XrTFpT*W8#})Hl7g2 z`-MzO+EZRho{k$>c3D1&K7B6{)%Ock;4ZQoc3%gTXk$CG20 zTv9D~`>GVX{U_4ypRe_|i=Wo=Wu^j@0DLkG7K*&mI}SMyy8gzl%=i{;VFAMIK;2q{ z->>faKG6m8pb7Gl*Cv`|Xj9yw9*CQ!q!htgkT19-RVG1eobz)JFpb6&LRbF56U>dn zb&Y1bQAs>d(0XDUU{E+_97L52t`|h6ksAaT0r4m=P|e(O8i=}HeHU_CFKuukEh#Fa zGH3~2;vc{sT%o0HbTnceZezZbPFLGGA#0cNVv%&x_Dg6!(R!q`2t-*8ir&3we`{XxxDfxj1vs`fdu{{bMl>}hrlFTIh_Y}YvvNqgvaTCM^a`mn z(mwdSOXV_#r@2Hwq#@{lrVdrm+1*UlJg`3L=0Bwp-*(u^wKz~;N)t$5S2HHPaFl_U2*E)oL#s}LS{Y@>pQO_yBGN<`!07Qyj4UzvhF)p7|MW`@3 zoW08jO_5mwJXC7@#xL~s-+#7)P$7(7b?~56@Oq*uiOG#}G)3313sd0rVvy}cT7nLZ z?es0n7co}FDRWHzI*#}}1oq<9F|5KQ(jr)d?OHnH7Y+jpRPnnyCSnW$3Sj$rJde~} z_BBPKf`YVnz2~{E5Kd_P&bMe6XGrdEP;LoyideT|6-v@G!Kwv9fX2~cLQSePaSVJM zlDPuiPYUURnWwIy0eJJG-`$2yiw1WDGgX5Jhv6YxN;bA21xSz;5(-`-*T(6(B+?pD zaZKXsMlrG%DI8p1#~@adlAqyPmgs0;=CwqiJ=q2iVsds$_BhDmMZfuqGf6S=Ny8EK z)(}p;zKV!JIJ$Io5r<$&uA3i{XpQ20rEjVnS`sjp)$LO^CG|TMD)Ek2%IJ~ncrDL$ zsZVsoG#$lr!SY1^G7|GtZDmZ`{f6fn-S*xDsa4OS;wh)$#2srIN&<&Uf7MHe&}b_* zw0(ViY zB+G*gMX#Kgoc!+l(xDC$wK@*$2SKjhDF8Z=J%4CmoNQM2jIkoq!=YX_U$!y+NID8o z&BV1hqEVpjjU7NKEhTC*lJP}1RUXy-KVSc2Iniec45m<@B{2_}MK4km*h{A{Kom7# zGW9Y8{KOpOOEXI8;YPc1)66ovfE913$+?3|VJ{lXxaK|+-a-ArGq&=7_s~g}2U6f& zY^j;f`#6!tpz*l1McFG&Co4FwWkEy;-BH9BL=HqP`*K~+l3&bd&$@L(NKMB8nQ?L} z5sO(wb|yT?B0Z-b=uIQ1q4d=O8WODv9RM0}#T0fLdm;hC zv992-wBb_{O@Bnx{PT2QRI1zB69f4Ju|i49MM#}Cf5Y1~L7H_7ic|r7t|NxnIiDD= z3=->|O29g=v%XM(?r=Z}^ipc0^6dDlp`a7t!gWE6xA7d|C;XXW`1KCe%b=Sv+~T1b zJXmLyKJr(tE$IgB@`{kCqzEowsnK)#g5q!246bz z0rsj8o?p1fFVE6Nzy!N}ydgr$CcgEE+YUpm%AU)S^{ohYfJA(jf*nHj>OwTpUYjtm ziXMEr^M8CF%4y3nX7MBGzkz30(ZVBBZfo2o?Vx_qXJckxxfWw^)n|r>U}?&XM+u(dDTC#?wl>zZblr6Q}3H9UTznQ|c_akk&Aj z5J>SDKrHW>*v5l^@b`Y1cd{+o50MRis4eVh1=Z(}n1wiP!pxQiM0#a37Mdyg+Q{*Y z-nJXL9kiGO0(xIZ@IX9O**W~Jf=R0hdA~H$r$CJ}SIFza*E39vGgOn^ zsM7pnbw37SwBzmZbNYwHADWU9W~`xAc`+d33(? zZfcW;DMu(dAtqE~Q=ihE*b?TD#luDUO;!h7+E$v!KWG|-zJ#K9(>(P-$w{q&w z*$~8kLUDaPs@aCJmy(C<<)?E`=Itt4w9XZysAX07Vze%Ae ze|&QJau*G}0;Wi|@yg4%Cq>nKr0;^(Sc5n#xpGW)s}o^F(Zp6-$VtFqQFj}nN<~^4S=t#tXFZi?meh*0!VAd~wb{a2T&tiw*y`F{f&5Eh@VkQn zUS~*0kNwpVW=UU{62p7M&;yJ;B(zaW{#O#v~ot2-ZE1CmK@iHDR z;Q#xg2`QKQR}}GY&tEQ$q%Cz84et*7i};A-P`CVv$A4ibjWrj%A}c%bcQvi2zHdb# zN8y(DG1ZKk^NkoYRW6XZx(+zABb(YKu+IChIHPo~r5D+krhF6#Iih!`A#G8mK*Q-M z&~bflVy+@qf5cDQ5F{Ee0L1mg0}_uKO&ITmavGGHe*y>!=)vP3C;voMmJW#^#NmI0 zU;ll>N8Ox;M?x5H665?HwB5~;s$^Ps`Ya@wxQYIjS1Mx<$4#W{C)okATyFsDpEU9r znYDGf;TnjnisXcqblRFK!C^Z!N+`cz|7Y3aHUHE4r6)PQUFIZ8iX8ij%t$WPC?HFP z0g<5e_= z!qky#Ycqgbcep)+ip56c)_8CV^>&gfx7r~=OJSEJ_`YeKBZIo*|0<=3lxThkf2(kv zLfk>6ZbwZ6_uCZWs37?I93Xitu;;Hj{3fS}%)Uta5f8N22P*%YE@3@oAf0)LVHD+E zqNlGZUi&g!uR9bzLW$tETt3BBVKVvQZWGV8>79g| zA^MID!jR~d%tKv_BbV62;JHQf?3+cYMhbc`34;TKHSVvIv*2-y%Zh2!g zgeXcF*&_QSY@p-5Qiv^a_diRs2~f=~$vbFzd)qi8_dSWeAUp;QpY%_dtvv4glli{V z4P^0)fNWPQDj2b9FlqoxK(xP$1eVJGHbjXkIS=%pCeHgNHg2@ig#vFi>DYuA5u$&P zX3@=%5)cipi+GX8cTI$5fRfC3$4RcG|GiCIHr4&aZ2b;v>*Q6M2y*a-vCr{!w>3b! zAcF|Tt;)TN)B73zE$0 zcILbJ1dIMros3KDq|>Fl89pk1Tk|!93yy@C$t?$KWOvt$bz_+CFVwvQH_Y;5?xf z)x^~ZpMH`B0FH8!HZ$$|kZt^xEIRVxz1x_SjS~Mttz5bF(Z;4BY|))f%klU(tT6Vu zkojP0{?}nwG(`-bX$^L11%_w6gBD(SHFx*DR;l~bwk9j|wE8RrExAhHm6x%-QB=B0 zHUdAi-rr6T!NLh)9>4V*V5a^)X$3NQ$0QlG>r0|$<6~jSf}B!Xb=ZH%+^~tr+{S3n z0qXz0y0;4UrSn~=+sOBc3AaI!r?;;n%LZGg79pCf=pCT?RGD7MmL|AL9{>-ue#p*) zVqZj^Kq_*hmRI&qRAUd{vZVqM;zNT;mw2{F-Ls`m!xH7a%Z0p9#NUaWAv`GTnTODw zlgQug@KraNheQX>+R<%eIq8077A5Jf9G`SE+RTID4ZdQQX9DU0dib z$%+AQv?}fKu_|I`3j0K48kVv^>;@41OVU8bM z(ioVO2G-7v@?oW0F7M;A zrFs5x!StZ5iC1_+&X{Sen}f_8)0_6llC4&N7N@3QhhDy!XpQ(O|fA(T;O$ zp6(G$Y1pOFGIaE~^!%j@!>N;?m>AwQZJZ2Ipi4yc{V;%jh2-&x#E+Z7b#Yg<3_nt% z9tS$_f$u2!EF(~A`{EQ6+4Lv;f%Nn6dWh#tWTF){!P}x(xsA~9F)4SWwL`LkKHWXqT)g@$_6wf zr!FEDXp#8 zYL2VZC?HG09ySp2q&P&NS=gEA{S>@>SM+hMImM&yXibUTC(k)%1NPp$I|iA>6Y86n zPw|BQ9vhyb)0EYmb_?_L60c(JKzDz8@F@-IB(3BKR%tO| zlD~@b%^|ZjK5_M?>2+0l4Fx{w5N@y$xYGi&0YzgnGU>(hyz$%aQ#oJsUu-Y&vFFpv z+p^XELjaer5+Q=0nT(2< zhT;@DAYa<#eS4e=oA4#BJmX10$1|Ru`5(DY;8YqS7Cs5r4q?DuPy(v)hN6p&h!!H|&khp9uH_iT4V?=OUZ}X- z3xea7UO-yAD1=W0czfg7&uoWPv@aC5Cm4pda`7?63F^f09@S~+a`hRM2|A?*p`lBB zvfc}(Hd`x;vzg8qV-P=f6ZWT+c@&)KK8tripLjgjB_L^h&L@YgZo4gp4GW(i7 ztc*--OT@84v%(hFZzJK?Zj>B;$5?ehSM)*4JWUu{fivHZ-W$f%@^KmSHm~g!?1{=i z_x>l@xY8E5()LASVKv$rt-iM-qi=~|HySB5<3TJSeu{E@)Csdq!E~^%onw&+QzO-e zp)_%dbV7MVJx=ENXdI%tFq($!V&w1^!e29Hhx4;{;uI~h`!L6SZ}ljI%NMu;oJdU( z33UDH0qGRCs#$L{gZ6wpO~QXnhB8?}5<#>^I-vLKpJc_SMn{FFiwd15Z_goPlH9lBgz5=Tq3 z8p-~xAB|smD;q0B*na{EGRMbvr9cM-UpERhS;|?Wh~ha~9Uu?CRKXSKxGL`n%{%qV zQv6cWkY(qOs?RgAgI=z0r%uZxJvOKH*2grp;c@HF8SwWtkmm<=c=2v(&$&Sxy9XtQ znZ%eR7E^Xfqck-=x4pkaYARoM1Bb%~H3Z%iB1s~zc&f{Weg4-W+h|osGc0JY|7_1E zjo8IA7z3WTn@G_C-6?t}NUg-+8Q>x?4c5s1HM~zkaI0qQzKHMj2@6>Ol{&WT{Ms&E zH~W!Kd!JY?W`q+tJ3jhJvg@SH&5fFkF3e$kRUhg35E&NR`n?u4EZrD1Fo z%!!-@Rn)DDu9Vl)H$V@Ue6&xk&#$pd^daPo@)&Xq!~Cl=FT% z`g@(hG~0hg-2IWtD7TpOkm}Ot*^O^@3}QK7@RUWH3(V#ir=5oAktxp*N?8>Mjje|v zNa4=9PA81ZML(Rt+HprUQjtqBNCj5kChZ2bv-<=p<`c$x_XVkV_n9bR(%$ z7eav+c*d!_U^-VCxxx~TN8-SIAg(wMTSZC0slveq6Sr3-p?4EQ zj=bI;?~LHBR`TLnlTQk!y_enjYggOQsW)G%jzU_6I5cETg3aDK9{cnI%VZ(?O3Mi0 zt*ISND_0+TvI$}=VDZa$sd^Z8F{jqo|~Ff2l% zMme~1CffIhYWQ!vlSFGA@h43Ad>51(#@F3^4zeDr&uQ=Lp-hokXGNI@iQ-S8-}~dV z&EJvtxj{v5NC`bkg}?I zCa9X6rR}j1`IYzR+3O+yBk2I*^>@1ITb$I&=x6}(j)#PlD^c-IVx-;bnCu>>Z0|$O zmC<)|qya{P_IRKxX^%==ER6`3Qp$=XOx~|4&Kz75(m%s+>8moOVmq!cgjPuUGYhY9hmEn{|xCFbdYmKoo;02aj(M@^+L@g86?Yy=)bh_F{?2(`FrpSzWwgqVD#^4^LX=m3!M$Xf)}{ z;A~lv+7R4ApqdURWPA|?1!^C`E%kT1)dea=Q9V)hbXDOARrbX-q=2oi(S*Dv1zwH% zY{l<_Fh1Hrr%~&1nN+ChPf}&y$dDOM-}uU5Dme0{khF%cY%>gHl|7wOaN>6>E6L-ec8hltgG`jLYMqj8d-P<3 zR@iZ)RAf!cE;@4?u6V>K>LFjb2xUf*%w;RJXTbF1Gl?H1w++z)jEW+2xj5jE5mE$8 zA%&n$OqZD5LBe&z&|i6o6v;)b%cBhJPVG{ZRBezeTBk9ZSSz+TQ4r_}#pKZOERdd` zQv==caDXHT-ruqY^+IJt$vR1p>`%GGFL1EUEasWjGdH-3XSZRKp@rfx$HN4$U%P?w zwxvn}$6L#nqv1?rpFxALxW>mbDexO!7n{0fF2Z#9PVh4?QHqAHU%LzVlrpC{2{nTg!nA zpE=6`xHJ_wXoZ4!TgSn@-VQn^+hPh1J~r_oB&a%#A8eI zY@5eXLE@lzJn2Y}{=98Wy1LdCseMq?jv2jty_`vYQaIH%(Tu3rJu+xcO|9lj-0j*R zyH`92)R@Y^*$o2aZBJ^?KPeI^bmh8_K?D;Qz?SQUs_1Be7HwkGU_Oo6|N8?eodX3Q zI-h%vGL1IQDR3!HoanM(ETR~Y)g}m5qb)0Nl}T)NY<4iSwp}Zn&Q{uqgUK)DwOYsv zW$k*6!rS99sN|_s^459^68|V!2W`KLazP1FTH>MVKs}SqZah_iKf2yZ4EG^b>VUIZ zxWx^BQ#%RO#DBRslPGMg1YJ=u(2rC|k;Yg1F~1Z%D*sM6;nRrVKf z5W{h;kn&}k`6vz1*g_t={eXOp+ay2WfYxaXy3L!Z z(V>`XG)h#^w8jb9h1$Y)B| z-kaD`1TfuM66Mj0cCG;u*h;>L=m68E)0prec>)Cy#z9iZKObdErNHMRbv>+qqW`FL zUwSTdJWOZ=S`bDtY&~;U<(AytGRajs zE>b^eG61z_Q^d#9gYf_RG&}sn{saIO02R>a0u{vD0xT8Y%>fk<6$TXs95w(b6*4U` zI5{~uI5RRWH7;m$ZEP-Mb9NXNF)cALFfcYaGcYYNE@*UZY%XJSb`cQ(001A02mk;8 z0006549kdf zq%VRJ5D7{2#hwIm0*t;SoIp)Tp(mmi0ST$}rO+ZUA&tJwv&fc!pf3+EawMSWNvOrn z1RQ+@wAh_MqObHU_9u|(tHO%|37K>lYDq95iw=jDgc7pp$(|*#1S)-Xcu72gPESE4 z!WOaVYoJ8LB0hbsCy~4epsx!jQWr_+si>vEA{l)>v=m&Vq;K#nwJiea8^cQ-iy(R$ zYMFD9k-iC9=3Zo_Z}u$nFS60MgqH;tmC_NY<-tW|bR@Jqw5Xh(?pYpNL#+T7H_-9W3UF~Fo#0tvTkNJ2!z&z% zJ#-RkrE{^Dz71OGUhJc9_pJ0U_S1KSR|Xb$(aES)!NuKl3bZP;xQCwMSruCxpzjQ? ziZAY?XQE)RCH?eW5Dc+ofWF%UBQFWk_k>~8B}4Qq6dYJGOy3K^!6hT~eIB@NNr=8b z40kLE)3Z^@&Lt800VvtMBuYQ%N%k*^(GP`_150Mck43^r;FkeJHgKx@FnGzQnR#+Ha+ z@WN{xi6{miwbq%4V+f$N?nDwp=vnJeBr|fuYXgay3;?w*n3%;7LF+<^*$lB~T`ZBx z$P2HFC(;=bR4QyKn~@KtB9`(Q1)fy$Qh*^1r&5Pl!jPV%g}q$$jh7zLpY7Pte#;+Z331xFig-Ua9Jb6?Ac^n z=4M#Jn;gqL3@d80bD5WM1lsIg=3^Z7Z1yknGmeEf2bOg)Y^W{4W!(%rv?a8xhf(6$ z5?dBv91m}aFY9BJq7bm<{frY30A%98e1M`RE4+3mnSf*Q7BkaBJ(1ILL?A3c`b}~B%zqKD2y`+$Gi?<+({(n4G+ejL}uO$V**K;OeYE(Ov+-qAZ#cp zn_1_<#*(PaTVZTGiO#G?;b1G+%-awSv4YQh!h<8P0GLmPanuzOW&;WjtdKFEg7Dx9 zCG%+y-nIf{J`=_}RzS=~6v4T|$b1$exK~)2&v^*`6*lJcVM1UFn zMLF}1hZtMoV7?G0##dA`Jtz`vWeu|#A|Y1RGFv<(@=7POHB6$etY>;r+klk~%r1K9>w>egNm_F2Y=Sna0F0|df(#L$!v)#Ya&wMGoJ+QKi=|}AduIy%Z zLOVh$dzkk;J7OyX%$LJE;w$@@T_`eaRX_6;h>Tb@zO*D1V2P~vpiBfTiS@oGlMI8gJ_u)0VJWPB z)Gh#)%K8x61;Wx;A9;4!U&%=A-Fgj}pl?8*dSzka|2soehr6-FF2UuT)v#4+h zYZ$c`fXi54LwiBElJ$*euMG~ez76knz#-NMYM&EsWPJzibHlBy?>+nca2xA~@V)@N zlodkl55mh>qtN~kyqxvWvp)uRuzn2hkHf23VN^COxrQ|cWh0VnS>v8;a(5zeM2 z*Rvw113+>EYZ5vDCO5LCJO^yaZq{`8fFs$%ilPoWlfA5;po8vYAM0n&L4UHJ^-K6* zAi0YbLmdhxce7@oL!smz)+5iMSaN{%Yxqz+xsNrAqQX}9vwnl9h}8qE-#t|F>LBZn zFqOJ`h&6|z0jq~ue?l~H^$6=P56!kZ#QHl-bF2=t=21D$)e+V|P>y?bl=ZJC$GIFu)1oN6-ONouAXBpK!-!C=UIIM@OV2u@^Vf z$tf`Qk}*0pC54@cW&kOv?4>#en3Bd`*37V_AlS>t7>*PaI|&iM_I! z=}#fESB)_PDVb~-niWjRV#9T;P)asCxtSG9p|V$xvEnIob_$veTf=6r(XkP0`0TaK zZ1Ng_y>5(6T_a(qqB+1C8GF5s1FliBH#Bo>Ye4qKF^*#m#7;wVookHjO**c7jg`H* znd@I;V{aMb2G*3a5olg;O&J@hZ=EK(3u+cg`Vr?xO z)66HYb+WNzeCpbIHV!QS);6&5Isv%0kxgh8*w(t)#4&+mt%prQ3!Q7d>}@)sd##VX zy;u2v669(3HvB~J%;M#6BMVA{|+r!Ri&W)`Nuy>B-#@F_-GtmHST|ax54nV9M zVDD}Q$m@daJ!1fM-4HtqEdtgJv-j#m;JOj^zGjhaU5LGZOypP>W@n?t&UF#?0iD>r zF3LXGEcUO9u@8-j1M6nlRCHc&-5i^y%L}cWXXiBM#n#2yhsW~b>k>G0v;>x#$YJOt zh}0wwvspq;g>hJ85^8D+hmFn$Qd2n`T|Sta#^E;S+for6-dMgP6~*DB3!JGqjzCx7 zP9<@K%?18cGADPeAds5L0npN5Y8FSNlZH~WIpSt%ES1X18A}g@3(`Q#_^!tS{w&=)&OoGLBkT7+PP>(KHvv);l=bvBLQJY7T@}!Zy@!bUGzs zLoG+&tR!!6atvci>V|rb5v>9?G;mBh6}X|1V{TU2Hn=&KF_mM3hhs$-IX8GYM|4H* z4L;7%<|6+FKj+w3QD8$C$A&HrZs_LNb;Y3#J)Dx};@E}&=lEE0d_y0n6b-^Q_H$0? zK*YuY&dFwwyfMf*H3m{Q4spuRYGC6q=d?}@ZXDs9X;#}dhB#-()Q*i|PB~iR+!*1U z(`nortD>Cq%^Ls480W&6Ca`gq<3MYJ8|OF`I&EmeTNJDXJ(RybZ zj(c6Fcc+oKH=6bSG&1+*m_Cq}$#tR)!L%%{OJ@kBWpnGA4Y4#T_tuypo<`@^qm8gl zZ0>EH5wVHSeWKY&-UM);95YfkNw^JY6R=6feM)BnHz~PKH=AsmK<+bRCdVd-+lV$h zHyOFl>dfvbvO?L#`+{kTjK4RPK=5~x7acuT* zedwdk&0g+Z-BI^uANR%PqyEi)?n`4w1Dm_Je)O^6=5B7M?pSDZ5BFa4vDoGS_vNu; z@y&hQF0>7{rJwtX&W6}BzcB(*qH#blovvu4I;~Uqq?&p zWI69)^Vt~E!TWLSY#dq53!}?n={3ADT{$AXmN(v9PEL37CdSIC>Giw_`W%qnz?;;a z1JfIMQ_bgW>2BWi*f~eKhZjYkccy!JKk3f9(|x?3o6q~x{k&hs&Ii)Fcro;aV0t%i zMt32U-oty;d?A(|;QcywA)emHn?*ZdTl;yx=^Tiy1H9jx9ptS+-XCKQ>eeCN9J&J7 zI?Vf1R{?Gv;r-QIVcQzw{XJIU*jg3l&7&)wTO+)Gbd~O{QQp7JmHw?U-v7ob16yZ# zadcI1>l|-ER~6bi&wJcl726u;{Wn$>-$Z%iw+cupM<&OMB(@=^q1Ty5`SgOB|nPHUp0Oy zfXd{|kZ%lPZ{S3tCqzoF%d4Gr=)j$d)0A$}U>suOMGZ_;0NqpkeSEm!?$8-L6A z)d0GbkHB0DqRaS5{k0IfoS)uuErxdRw~k+nqpSHSOf3vk!$<3D5tv#&rlppQaq_X_ zwNy+!ABVXPU>f*%{dEx2$S1U1w_)6T;`nt3#=|FJZa6Vs{xvQMZm_~25_kYj{Y`?OA~NgZrgAO0dM@a1BVjuF;6&gIDtU_gd0Z^2wR@;X|SqH%*uwtHb61;*V`sdsPpWtZAbAEzf zaBTd!0HI4@!#p1(bPMeI=R<@ZK}pN=F+xCaeEj)1p-)hXal?rHf)jc-f;b>J+2SS> zgMw4zZYps|P=;v&h{J-@`X-QAH6l3E(qtos1ZT&a9K^7o9COD>j0n!@@3@Ik!TFXu zequ~;Vf;>jI4f{qUI-HB1Qq%hLd1DNWy=dOVq8!){z9CXAgsoCV5CIhMZE_>N)ldb z@sLR{;pK4;m6Rf^!88M;RN)nUGe}AkUTtZ%kr2Xb-rWqi6p$y z(&8tPg*V4r0;Ei#6Vn7RCZ|l8?ZG7Pq zEnf0AK=|aim%2?NY{0Yu+hoG0^ljiarSR#NHrqB(_{?~lV;dxF#I!rN8HLa4+uhr& z!slAr{o8E9=f~Rv+e(FQOh<5AnXpOU5!zNRywlPV+vX6yFy0a0RxR{ke6Z~`!e+e> zvAtH<(&8g;cM4m_ebnvsLNDenu)RUproRhrZxpt-+_i0Y3p>W|I<|X+KFo{G?Ox$s z{fqAHKH-ZkFZ#Fpg)fc27}(w=^kZHMZtoU$>R$?N?-AZ>c`3F%AbffJrTF$fVHd^^ z+tDw4Mej%K7!bbN;wSG23SS%dQ+EsryD^=>j$z^J`c81ii13Y;PTP)<@Xhf~$BwYD z2XoK4BO-iDf6u)mDtx=;o_|M7_|Evfz>ZmA0P}Ki$DFWN|8i)@yzqX@%ds7C;k)B6 z$9E*;_F=kU%l)Y36&o3m z`|@W``P%b0di(;5c67)oRvGMe=S7L&VA7G zT8vE1{e1kjIGLV1gz1J+*tuWmyAc$A?w2jyWD1b`)p$3RBFP=bybe%gxnJvF2Pw+j zZ(3frQNY}9$6t3)pxhD68%~Nb_dER?Zi+Sc`<6HS6kF~O<8K5grMV%@n?Xuh?x_CF z5T!i#VauB_iX->O@i*g?>fA7<2bNKjJEreJWYp%4xAc%RoVgR@J=Bc)+z93^Afq97 zQvVj1(U?2c@|G>bojX1LmLtQH8^yfs%<$&^q<`C;;miHGZdV!t8xqs?=!JQ+yf3@`5c7}5Q9`AMR4Cl^c?mKrza{tlackhhm{@ZfjzcZHm zzw!HlowK=d%)7yzbGZxpcSAepb04?78`~Mr{crr;_|60%0ow=5OavAg`Vg5(z~a_E zawZH|GSNrPOaT(H?*W;qz*56|U}hSyto1!xCIVPK@tz|S1tekLcV^;%6^8fSnIvFk z>-+vpGO%jm{Xk|W0Kqq`wHek!dM}b|X00R4Qa90_CG<+P|RSu-LejMB70Jcti9N$$9ps)k5-8BH( zFo4)y3t(CY$h(~Yc4C0KyB@${KLK_(0C>YE;O<6%(E5pOw;Lc%eB#*c0Z7!<$ReqhJMr-9vF02%vPaCbLAF?<%<-2-H_eiqvu0CrA%7T?_mWMYG` zJ^jEgLlCiN0NC9cB<~3VdnSU^Jwreib`aPz4D2-wf_p}QeXWDGJt1KK#GqqO7|6yx zaPEl!2MiC~d!oR>)(8GQG2qa|gTS6yfQtP*xMvQa89oo~nFn%OKacH+1BWL*kMBtk z(Xm6YtV9vRFoeiT5;0qc$XPHEYhs9+l_FwezW}mQMI6HyU{;!l+xmqq3nAi7eBsDK ziTKzromn`M!0@FzizE`Ze(BF5i*hHv3}j`B0PI)6tSphp@Kq=)TO@A%DwahR3hHu<^t)imVZ~S|0qT-2f0((nEAoknf-ZGKe@NH;sxk%IcZEUYY zq@DOSzPDNgVMk#5YD7B22x4EYNZ&d_-scnP1HEcfh^|k;(8KxUW%UZvD=- z&n>b{eCOEb5m~X{JNJ1-M-1P)_xVIeTfg`3^NWs6d>`1?C9+|E2=40^*$qF0_VtKL zT7QV`3y6+S{1D&QCo08;VEg+;Ck!FP{;C1d$<`2ge^7L4B1GLkBr3y>0{e$Wrwyav z{t?lc)=}I3km&5hsAGRvRE~Y<+#eC0Gdy(fkBZK>KJ@R8i7re$4D6p3Ij}zl_s@wc z3_phU&xfAmjPFknS7XDl>_qWJLl}{rB)-%dCTGLMmnXv1>=bbgb_~c) z6<;xof!S%|tF2?UY=rpQ#F!%+C9cJeJF{`(>xOZ6Hc5P=b=;p#7T=s04`gSGo!E(B zc9z&>m!j@fD1K&Q(s2M1H)5xp2aMup4O8v|R`GMKQ~m=s@$(Z?fdi#t zH+DLBpiJCkm<}B%7vE`}jva7_UznJVAE*|4uu<5-8ga8Bia1y+ZfT8@4?4xI6H)5H zda)P#6L7FW+-CR*JlH61Z~e)3&@Jwm_{nk5Blcl`b{_PK?;3t~AM}Y|Z2j4P&@X;z z;^)A@F0mi`OYmT~xYO`U=wOfdUh6Nhg8}i&6Tid{_KCZ&G1#Gg@hgTH;?RKj)z%pK zP*D8ZM2vc9NZgH`0S*m|UpLHvhepJ2w9eQLg~V@8%s38(#XZyhvvoiTYrrmii_W!_%(hgA+HZR3!^6Hy=Rz3 zP?PfBZ=EGmVR;`+%u=Z-dHvYm0BUO9hlbxkYFge$t-sl*h`f&{esfS!c>~zrom5=j zCx+kMR8rojt-t%JqLysswas5D95F!oP?Cd>QU@Fz%9=6%!pr;P^YeLL}|g9hb| zVE=N`jCtP~{&Lf-dEdAG<)_*5ewg?xKr77)VgC-&%JN1He}`!0c@JCvj?o->KTiA| zr&Z^LvGcH;n!GW?JR+wyZ@hJ$oa4-!n3$*L)aOO8{{T4+d6R~Jz?{assn&mNIqtma ziGLh9p1dgbUuTXt?B@^?{};^Z&YLm(FO<`h_o(%M zv7A8OuM_`^=T!CO&0^!Q!~J=`8RCe;19`u<#>t0+d4EjAsfUO1=CBLE;o-bL4GZAm zk-WcJ7i@<^d4EqVI1Y#N=CO~Rha-9a7#_P1NAvz|ee6FR%lqHNv}FY6%LL1ZUPr(8eSrvsQxfCQ+D92{w{MW7bP> zxD_I1g9L9}p=LHp2;LQTrdvXctf*jmBqZEQ7t<@*W?b3C^hvgRS9UV}k{ywiz058N z8MkVX*)5?MSB)}zBpKdSGt7WwXJpj^vrm$VgTYz-l3hj^k~JXN?S)ZTLCKy7jK&(0 zWZ~c<*05x+5w2#9NcMT*c2-ETKLW2{g(cazWEU$UIbcj~Vnrnfy~&-dnB-6-xtBF7 zq2g8#vgRZ-@Q}gp8>lWDbdJ z<&@@wxQ&CHvV661<0z**U*p|4!*S$mBO4bu)%g%E4bH8}*BR50+}eD-H;uw|<{Khu zG;V#q5w}UiZOAtnH>tUe`DX7XJJ+3WiEOIidh)Hf%`UDt|A=vO6W5o2)VsNp>(4(H z+1$(R%D3UR405~k?Zz#m+^U}Z67QB7ZXo}7WXl4#FTWIrfb;tEPZ$wM-a!6IFM`4g z=AVinXuP5PG8|IG8_qv%M5=is`DeUHJ1>-fHiE3+h4agC=`LO*|C}+si5Ja3?@jOI z#quvi(tCNc`3~IHLEc<`g>maBZ$7`$yLE;a&##JXUEn1YRO3)^eqzBzBMQk+D!AlD zQTVWe%MlcfpHfhRLyP#S1y_t{H9xK3suykNBMPoX&=q`CK`jpB;^PXg8!=6MQo#)` zrjt)DxEaCp@-qvZIP4%ltH5Q%j`Fh$>b%$)KDFRh1iQee7u4f$Z~?pEwh@OE@C%;s z;wS>3;K>M%CXf^~;P4`Wtl%jlUM)}-JnhBX1z^E55qyOJDrm$JTmoakvqnObz*_K} zm(VG&6+9my^a@G~+&JQ(psb+DNE{WE7u@j@X9SLd7b3(3L3M!#M}iA$3Yv{1q_DQ2 z#Y>_HodvBC5=~fN;Kgkd2^$L9jN8=0#)5Y5HoMSW&=J{IA@mgZaNAu%Z^2#T_9mgP z;6?BDPNBcxrO5VPVON14w_{M)UC?RVF)HjSxaZw5BMcP09NDoT>?`QPk>R=h1+N&% z$lQT~SG{CPZm{6B2$_~URM3s1h;oMuUN=(Ixg!N{cq#VWP{ErKN=0tCpa+-X%8eAf zWz1;GjTXG^&FIXH6}%J4=*^ui2;g=O=FS!L8h4K7&KKPG?wrYu7rYzUxsaP6?Zail zfkf$h#!MuTBz@nTNdaKe4Ne6Jd zT>wt{iE(!mK$3py-Q5Y0rJqH1_X3&HAa2hfkR=^7?imHLr4PJ&W&o=6^T?hBfG!=v zWx+*k=@-T<~O{Wh|$qx3uDz9x}X`n`8wr^qJ#A+oPmR4NVO_7956q@%|DqoQ)@L+}0>kwf}pWdDMw zS{lY>!^JhyF=IATTq_;-W>dsY=|m)(Ca#x8a0f)<2I-{nfLh!ro$?;Ai`~-c$bky6 zM;gT)bcwyvpNt2a#6IcI-h-WDzx0>L!CrAymo$buG$`(t&KM7kihHDwyoYAQ0qL)i zLkr?Q=`4;4&+C`|W~3tX2Bg1xsg%5+^p6OYmNz7w!_h=}!_q&EGXo)?n- z9idg^g{AYj99LdM`j0WEDK9Gh*PGLs7nA-klGB?vD~;n059ZBD7mSBT^X8?Gy@zM= z;?n;jhZph^WC?gWT#_hTWTGP_NwURlbczHfTQW(fNm68qc!o%lDqCt|s3mE#Wo-<* z1R+~K$*7Q^WJ!3YOM;WFFfp4XB-zR~W~YQKTQ$k-m1N3bc-EjKO9nTwMkU#@LTQ|w3U<&GBg$THe; zX9@zcos+o>1%0wiJOG#W%XXOnq;x>GyA7a7gR(u708Kh1%fgF9(qY+NlSnNck?m^} z*`*=b{z*}VG%U-;i(S%)?0`w!B#p`rwuw8XG1;L>aj$e%M#bk1O6O!WQ{Jd_UY66A zHzSS94o~JSNE76AyaX;wlru~cq%29!Y?DxAFga^dLX)M)+4y{sELF}i<*Q|Ba&B9` zU51eJCi5#~C^;Wr;F96w0#iYgj3gJf6?DqT^4!USURkCbz)J^ZS#ps{Ix5SSi`%3# zGO9dpQo10c%O!XjT+Wu~n`B5iUtZ8AqsRfdbW%o>OXM=VTqKvtNgZRQhd6`^oDjb!U%QbC*O`<^MXg-lrlcsGa>JyOrl^-2@hXv`L2fds)QU#AxlLtPxaF2f zRfWPMx8jRj3a|W#si;X&<&z(6E9zAE<;NzAdKF!A8@_l@(Ji-|iboYa@{+dV8AU*T ze6n~!(I+p(gYd$B`3Vz-EO*>N< zmsd?{7YY*;)p!W5OjKMnK}cni;!+z#QNk3LCn1_LMNxy-iIk~|D<+*l*y!4DHTt*nd~Z1 z@yw*DLIo)r@n)CGsCd?7ZcDxik3DjrO2showU-5>J?u65m8ZtqRn(fUDT*(Z#!Zy zaw|F}k5m+S6h8b>SCLn7*L1Y0$ftO*?PzC_U-8o9(cYpig&%)xu&7(nX*xDq)T6l9 zc5J37pm=%m*g{dCq6=?>7xyb(G1-vC1BzGMY?R`l;LHLF8sn&hE($lzica`sDZ+-Cd+7QN#QX5 zv`8&0{MvL{tyUI(({|df1`EHPJYAuN3PT0j9REZ#58`PC4k>+cox^iWD`?VRJL%DV8+JdfHi6Yd(^)*Vg zxfZFfRbtv}DSD?8J5@{5*DG;^>mq%F5^uh));B5%?bq#kw~{z@y+ZF%k_b0kdarVu z`9_o8r`+Ctqf_r!?wGpKtM5{h2{#Az-Aao2=BU0$nbCf8Mjue_oVvN7?^9+HoNzv3@pmNWYlV%uFW)WN>!?1F%*`+p&DEGCy?1qqX|CFo35LRXr>Rg71 z@_@On$q-c@Y_IDy#FU4o>Us^cN-E*jpkYo)Gv69D%qw%+Z_OCu%EME)77Ph0I-wqJ zOjI$<^+;oqirHRIF~U@=sd}0*Ma3rE78z4j9P@3pF-^s7zil@nRJ^I%6-JbbPk6#* z#Hj@4Cz^~Tm9YJZP9s^BJM~1bF;fK)o*Xo0sYK={M~&Gkar=`qMye`r>d6HoT_qtj zz)fsbzPSNu;;RbU8z?3~C7o)ZnItM1;VF?xrjnbVQk#@2Mf+2B6R0YjdaA+%sg#7L zT_&SSWq!KJWK|WlKiz4vsfwqb?lqOFK*BSFrZSb<{LHAST%~D$X2#@DX{Vl9FjcD{ zLL=N*;JzP*uRcB%|hjWlz;%1C%tWNuKI%+IRLRgEfh`?GelTVe$qCz2+{Jjqv=Sxm#s7KR;^jQI)hmKVuH4j!!+m zVD3|u65Mc0zv_h9jkFA?PPV%#mZ0j?l$&N5Qk4;!M3!OIX>*g>GNL-u-edqxK(fEL zgj8pznkp<|RXO2~%MwwYGv8^lL{;b8?{r#XstZ$hdM&dm2jPW5%bcph{KBYZURBxt z!i*)Zs+xLX!IDr^P4K|2iA5L99;7v?=u*3fVucl5p7PMFDMdAeW|1|u=!&^nZA~k> z+TLupB8sj}HCI?sMYV($mlaoZ-Q3b-B^BLhZ|Ss>i*8P}^jb5EoP^dvYgUoV+&XH_ zE~;y9ov~7jZcVi=Sm{Oe1TXvuyXdyri#)Pq(+(kAOwbOtn=Ufr=Ul?XDxnqG!$RO-HOn&$YLA9*z=7^){g{h8(Bh^J7f)9SQrl{HMLmsUyYH9aTjyj84r+l=d^+jI7 zUD45oqBiqg_0h(n_V&B>qwb=Psk;?NJw-mki>{;IqPyl7n~wU5UTlA{^Qgb*rKuNt zk9HOL2`>#E?JnvxzchNZr|4e$OEX6UMK4div~aYqsEgo-AL}oA#q38O8z_3U-A_3d zEP8FqPdheL)J^CV9UCrs-Q1}@Hd6FPd#C+asOZh9&WdB^TjqOB$D&1V zx8LhL7AtyZ>R#`$*`fg9<-ucfMZM;iM~}@H-EV(+=2*Pw-Km!sjwKZL5xU^E#NzkN zT}WF}@%!yv6dSDggQ+f>Ev2}h@QTQmTKu8;6}2s`_@nk$>^4O4$5XFV*igj-gjZcQ zT=6I7SDS34;!oRO?X;1LKbv~B*OplvB)m3g%PJl;zcy;iE`HGd+Ki1_{Q1;t3pRT3 z5TP4xXBU5A?nc`A#b35}Q|v(TS5w_IyQFxS@Vdw@EB@O2y4tQR{-*tPyB#e4cIx#C zJ5)SEc*A8k7Jp}cqseY9{=WTgEB?9t?amT^@h?+v_m*@O#|ZBXmUI`-nBN&K z=_!8H{?1HEp!nCRcNR+eif0J{`0@VY-^>Bz@qyys+XIy2!Qwxr0<_~p#dCyS(edHp zKh3@B<0Hj?wfEYOhl>B6>a92)E}kdccO8!u|6{)2bUa%8Z~OhuYdp&K!>y|2OsS!tn$!f!GHxO#~NN`jDkb;Np%xN+}FnGTlcj zO#u^$?})TL?QvX1xcr3i5O^m`ShC@_imzN-`muCTn{R7wI@cD&zNN(NU= zzu#M$3BrgU43=hraLWgyrP*L|#|JZ|RB-k52MeWiFooC;KfwmqSo)DC_~6=(e#!{| zTsPfMJ0Ss6i64qi$iVfM57j4>;D(M5?I%ERt>`5!__?sOf|i+}!a| z=Ls9QW%{Gu6Qv-6`0?P0G7xF`c=SX$nBMX6%n1j$b^7Cl6V)J!H~>Fc1EMVh$dk1o zrelC|(g|Xx2WThjK^*ZD(a8o7Z}~)hvJoV7d}2T828q+3RGjpHB;u#8lU{I}<For;17J05hNih+lwAM~D@1*yc(2T#p`G|T6sr{=+&j?ZUK#lgeVpD&zBP}7M+ z@UlcT!!m>{OHwmChA3q)HEVi^R+ge>6Tc9ZrK&lWFVtmeYHr6D_A-Q;H~mFL8A{D3 ze(5U1sRfoVo61OPVaJ!9Wn^{k^q0M5nQDOe)nHkcT4ecZv@BaK?)Yk^jH=F?{%WC& zu9gso;iuW^e9JKMG+$lNF-$oPsHM}xw9^u`jQF+av`j6xe62pMR4Y2Zwx0&oh0|YG zoQBj&;y13-MzzZFP19+sx~Suu&eJw^@$@&nr%Tl!@!P@EWootM+tJhIYE8$tGp8MD z?ew<`r>oTvaRh#*My<1qAkS3Qs`VWslrv7XVS0pire19%ekVH9pf*{)Q=e&6n>)U< zpK+@#)8AE`@u;oD?_FoS>LZr#o6h*uM?1dnJmXg%oBqD{Oqbe5{9*7+x7u#`Vf0Lo zx}@WWnKJ?P@#!BH&h)8Ei6Qvee)S1U2zhoueX=7&IU7`;nhw#<4yntCqoT9J>eH4{ z_1O{inT}EW*^v6|^k~J|u)3W1&~-MVK4*E@bT+C!-|?{XY)pM&`eEW(nrqWz73C;REpgmcj?-MXj5n2&G&efNJIl$Mo73aH<(V2M zabmDMOXIRkjFx9>>N+N7%Bh-L(-RBjbWJ@m0zb#r+_prJ=lGf@IwF*Ffab~R2<@Ci z(?FaQos(&vvP`PaDK$@bOxn+ZnrEgbE6zchM&gv~oKf?vWvc0%Rr6fOROdOH=K1NV z-gBiIH*tFKT$!fHGCg{(Tyv*mdgh!%^TPD>!ntaVhZu#QuhBGHqR8{LnwE|z<-AkV zIvu5*uh)2qKZ(vaXxc14sn0iR+B<%-pLc6Irhlq9@6q^(KfBI*HFqsPH=XxsUhMd} z^Sod4()7>0=esn1;xB{eyEUDbUq;XOXzq3VGIKtld3pMmh4X!yE@BLRpu(sBAT}> zkD4w-HE(x3>bwxsyfgi%_rk0uK>T&^!knhp^6Th@dCmQfUuQ1FHSbRUx^N*u+ee&* zI})|;S!R)rB<=ehvlItR`@!@q&5@$*C;ldKq-sC3{HAuKX+P@t&F(;GKc4=r!hzBb z5Px?$aN18Szc)EZ+D|)v?{tv0pH2VX>&VmwiGK__vb2MiKSmwd+6Ntf%s8mp&!_)b zaL~0w#5s5cTlI$Xyn~p#26`=Op z=|3wfAnge8FIR<8`<>;lrV6X}`;NalD{R^yrvK`#DAk6De-BoaX-6%8k5-gxA9nmb zQ{mA5IQ{oRMOC#nOq_>T)@a8p^T^6t?RdvLrP8ULn4YIq)@vige?*lH+DXel>dHp# zRL4K|O1E};`k#tQk2XsD*H!7&{$%;LsnVzYx#Qo?O277(>3@4GyRyuM^+7JfA5G>s)E`-rsK4#A?+M-K~y!Y z{nN6bt{Tz))v;i&3TgkI{{LrKJ5PM_7ifaGuc-&bP)BbPzac|YEHctF+ zuxd`bVEJ#fYF_)eD`+D}9UaRgQqHA%2uE5WzSIEWtt&K_8XfxmxD8skv(WL;iGrH>Wr9LQ=1WUf$5ACwT(k~A{ zyM3^X%Ry*Q6qa*&2+AVC#g~Vny;iv9@(8rg2QRrCg7!z@m6yX%HYvI8as)bHO}=wE z3LW$%-@6=x4n>piU!H}iq}2~D&p|Zn>W7!-p&Z}pN0;N!;ppnemlJe!Qc7}7qK;ur zNv}!LF?}f+H8343nvzqKqGOZRh-*@H9P1iQO`4ADTT@bl(D9;cDr-`ZIL)S@2smWK^ zx_oPD`W3#ez?YhF1<*;OsX139IvHub_=-#?x31S*QR)=F^(9w8U14;6 zV$`Xu8}3}O>WX|D?p?9zilZCuUn$jrq>T@*lmFqOVjgPK4blT{~$5*O# z5GgJBYK=~3O-sL8tJC|^GOjvxhG<&O)q0(gv`KumL1(gV(p+uSnSGl|uDW%W=%&i6 z9-Wo6x$df0cf`8+&Q+i8sBiPVtA5?F=;r%ZyL2|vmIqh6b$08PhgW-aCB7|>t_F0+ zqgx(d?bDT#5Xsm2btkNd^lJmUlRiYowV>`)6p?dnNLNNeimwgpPFsS<~-ai|Wq%((hf1=`KXm?_ZnMIY?U{T$|HXShqgBHm|Gn zZGChtuB(b}eS9rJUrjN%~7ZR7NdKe>sZEsZG(>kkI1VRQ(kzT2q^* zzv@Gm)FSlPqUg$6l)jdPsjJ25uUj#9YDxMVKFqyZvi@cibH6rI?<8R#)Mn{jR_w#t zY<-;%`>2+xzZJzkuBGeiNx04(gwY;w!I1`bH9=?z&O`td(%*x>f(2k8tn0P5*q9aQ}L#-c2GtxL&4j zvJxL&FW2Ak5g%Q5=wFBuA78K5dq||@8#Vf7D=Ga(t-i%a%DCaww?;`hH|q6X(l+sp z27Q}#o90HNzTLO2hD^&-?`z_zv$b3?}lIhQgr+M8(n%o zX~%;b-TF@Jj)ymT^!I!_9^DA&Uykm0e4|g_MItBP?AO0yC8ysU(7);pg8ccVKW-%K#{kusB=iH7&And#0X!~4F> z3@6O+K{PYRnPTWC?Gigv4If%}X`E?>k9@mIoCw3m(Os2Jlwp9hyUvL-d}7^w$4N4L z>f3$KNj7{I-F@GgX$X?`JaA?i2CaJ@ISI;UYGnw?WuZ-|f%i0c{*lhy;8x<b!=ZtOxJZ`3yh%4&JNt8-9r%ykFO4h>;FGsOvV&SPwm{>oGj?9ePw3F#H-l^ti6i zFiWB)-|9E~W~HXz8Zi9sqh{O+8vckjk7@OP9} zc`Iy~C*{=LiWvT}=G?gzHT>(#xpymO_+K>V{;gRBIzmscPckmPOV6l>8JGM-x_CT?Sh>r;(Ok1#a#X~t!D z871`yTU4aXsCbvW=a5n{8Zkgq?nyZ(MtqopBp5uKS6db6a9e-Nq5$mKoO{ z;b?9vjT`QAN^XP3jX!ZJZ$rkkZQQ!sM&qU<+&j0e#?5!R_io#aTYlo+zg=oXY~ww+ zU1mfc;XS-vZcM++dvx1j-1-ym@$G6OY8(Im3W6JeW(NcSz#)XJ5JFZ6ZF{W{*WG=$ z@4LJ2?m|`wAuH_X{oDJ#TOnkH5VBIMR;{&a)!v`hs#UAjTD5A`S|Nn25ZaFwLdd%3 zVbxcOZ-BDd_0{4V$!vaojrb;iwxGUFoXWXJSg#S^4BaED*NSf;@4@PI;#>XqsOk;k zG|s*1dZU;F-K(!RiMiyx=6XiV^WW>Jw}=7GecpPj_%`T1U%gGtC+`c_+r{br`y%yD zaRw)c)!-7}4&|^L+~PaP9DajGe5XH0(6BDfLVd%Y_-~}p+z=A~-7j=B9EeYGa=i_Q;(tK7zJ?>QfXody9E(r; zb0ZB=k~5qnM9F{22QW>N zGA67LMOA0uTs2jzS$Dl{_jTNBeaq)IV z$3#t9iIjW{Ytl(%{>M~J1_{V{T-{`pK+xm*CX)mvA2&BK62$+wqsbycIZt?-tP(l& zgs;ga!N@1VO?C+BE6gHZ5 z)n-cHg`V+gv!rVBnXvYhwATMjM0-YB#}Tty&Pv~d#O#)AX+0_Cx8z70{9-{%o>aq; z2wU={jgUmtQXp+2C0I+LwAn9FwG>OW9I3iRENy|L`W8^yN=nTwsI<*5b+iyt9Y^ME zDV4TEGG9xXR8PvnE#=Y31O`|X`dfbwHl-*4y_0B1#Rn6D@QJD+mMbxa#7o+ zbd;21ZClbYzg*R}Beiibb=$6V9K!T%d(sIKGq;7LlYY$6b|AHLaBth8bPB?KZAVfE ziHF;crPF>q(iSCiatM|#S~dd_Y+a0OmL&MPSlOJP5a{A%E{;N|OOVY&3Xv{Rwm>Q{ zU6O3kuTbeyWNwa9txJ_HK}x+YO}0!b%{oA~;#WF!88Q#2#H-7ctwJR}U6#yCmV|Yu zWNZGCi0+JRom0wcKP!75DrL84%RV4W`RzHf5B;Tr_B`1J=UHKUzU(9DSy6j|>|^p- zti4e7iT_zudquHqlk=RqT`c<)dQRUC%045XGq`SPOt*@4SMV9gPHL|b$WdePjY?t$bP_L1F1HB;9 zYh~Y(FJO9|>^uJpD!oCr$9Yk$H_H6bi+a6D79d|V>ls0k%c%fdG%J=_s~l| zy-gM-UkdB(vVH$c5xrA(z$s^SxMV*-_@Vk-{Fz{+1l#DeDqDg}mkFq->{(2xM0 z55FQZB!U-EuV98G@WQ|=Dnkkw!+lk4NChu~U)3AZz>BF@%?1FxB=D-kkO9VWU-KF= z!As%Se1)8C=Eg%my!~s`#Bb;1z)?L1!MAznsD=)SKbXaxgjYW~8$cOyO3ux~jk%;A(bPHFzUc&F`uKZwgcky6V7G z?pwkx4R|yBmZ(b$-a@^Fb?Lxc18=Fi3}71fZFQFs+L=S{{h$fx{p8sRU7U;22TfSBi&KZ8EzfR7!Casu45Zxpnp+yd}A#1??9cv z7!RH0z9%#$K>vZ?6B!es|5EQ^#w6%}f%jC#6eycpuQsMa_rUdfV;XcXRc|%|(0ze= zhcN@n;Wl`Unb7@kgU^@+38{v#@f4IBXowikKzUpZtLH5A0IXs6WJ3>98h%d>^iV(} z=*fffxsAe}eCT1gQPfjW06juAVm*b>qk%?MPcc-$ZBqA$p~v7ReGdpdPBoc(Q0R$3 zlcR@#3c1bRo>J&ZxY^fJ28pQVa8Ef@6ljk0R6@mEEvvT*dJ5LEd#jLuMUz0T2#FT2;{b^dyNnTx9WRM5KOh2dl?7`v^sh% z5Xx=y_F5r1+~(`GK^WB*?zKaBpe@qtgb1#V)#ri~u#Vm5hLn_!-{*l!0y;t8I#kMS z7xryH&%*7ZzD?*ksvYawf}RhwtNM1JGOk|Tw+p=h>-Bwm(2JDb+!umg3g{hu2T(b; z!`pWVy$pBw`i>wK)e-JHhAILbk-jLnl51d@qTyFy1KSh>ze*YSrdas3fI(o2hpV`q zLQ?|#I@~ETCBkn|otP;JelyUiGNr)P+%B~#6@Clu(woxYx2Z0(34q@TbU92Ja1FQH zYs!S*g}Z&GELcr-hfSy8+CX>2bOx^D8d>C7_&wOjCbQvs%E%{k;D&%vK<2?3ZjX@6 zha2G@5m^8?Q9T%02sa0MRAe!%<@TycG28<8>PZl8rFzXI3bzG%9V7wkxP4x-6mEz6 zd}JA{r~1NVIouKGi;$JDfooz>Rd6S4VpG*{7iHp8HE?&pB%tbGBbO9X8n_20MU)oq zrAUm@!F>TzMHyfdmr_$kn1m@kWr8V+GE)pp2Pg++ff+9CrL1s2O#3JsY^LZiWrqg> zbcAxk7B0i0UGN~xuxU3uL@|8Y0}lrn0lf}ex&1kr z@Q|KKLzbx_GXo$ifguNzfq1yXUM3S+g@=7i7UHFb!^|mUEifEm&LHbtE35x3@;+>3 z_h%y?P*#3_4)S5ZD(J7sLpHc0!v1{ZBX~sAUx0i}jbQzS$R~jjRev$E$sJYqi;+*^ zQGGv%d`69$`%&ccz^J32K(@GJ-u_bL3wX@eUxxUov2cGmvK<(U^j9J~TpP<=g?tIy z*yd{FE6T<<*C1a9Yyxu~vdbM8nl;Eb@VLmVMZTrRF|!W&E-!N7#WY(YZYNw3+8d=F3h%r+!UO@_^OWIr$&F*}h1uAMdDLVkel>;X6O zBW33gc#xk0cEP|pa>$($4s0Ml!&9PxP2?A93LDr$eho~i26m7mu0uVri~I&V^aFdy z@07zl5JLV4I2;29$T4@?J8+2n2~Yb5j*tj79UeGFP6E@BfhaVJ=VV!;(Q^r z=~=S{Krac-IxHDzEN{+h$wV(j=6seclts^lEvL}9;9SIV294*rSc7NL%McfPFdMy` zcJT*u&?|y2!C)Smz?&Bi=A&04^P<55^eTED8!SYx4$i9vi_t{hf_hMlUV|*?2SM~& zdci!1qSpl%9D@X!#9Q4T`SwmIm4TzgPRE^$9 zyZJ*k=uJVlV5kmF7Lpt=<;F4;{fTr=5)k8*_P7gdIZDkXeMt}IJ|-0g{+E(H_^N4Rcv?*{Y!9FHN1mn@x1EcUG%SrS3kUm{*CsU zhePP!gI>q*0eXtJ<{dsn|ADOehL2DIy%rumMo$OVBEwPgGrV<{HCp~pWSwn|k^hTc z=UZdt{|>GTtnu=*y!VCH1o?lE_eIu3`G4v6F>8|if5G=v))aX*?*p|pRelfhf!>-X zznA{NYz5@^1wU|DGvqnE553k*`TfX;K5Ld-NPif%o|5MVKa5z<$n$s`tdXWpBcS|o`eXA5Dt{vQv15dg7xF&wj+DxuL_YD2l*vW(C*hHDc~S6_$VjEUn77Fq zt&%^5Y_dnI*4Xq{Zl`&2lpkxP(IMWb4|l>QVO)yZYSPgSD^Imr7= zJ!+Ig$Y=UdlN_c$GmkQIB>0(Q)FMZDpL<8Gayjz3Z`3Bo=+DEWb~zsWJTmH(6TB_f zm`koew%B8Cxsu-Ek9p)J!7ahqy1bP4g>Y;`{w(r^Xlzsd9Q_40wk3Z)_=Re0M_$JB zsmFHZFCaes*q;1F+GidM$zKZk9AgLaa^ALg>`?wPvh5o?lB?+L@Yu1uBDftHi^3{- zJ1ko?_6oAYw#8tt(mQ-xEcRM(M_`M`s(4=tZ3)=x$d@8pBK8LTC1y*)-VA=JvZY|v zysy-@RO~I}E4?iZdz=2sYy+@&f?qjo8CVVPYp*R6dl&iIXUoFW^w(kADXcd5b;NcC ztK;pm#?NB!A-nAHY^TxmFf_$qV2eDTATk|-IwFSR*j1!oS_nmjV6l+Jm^Np8bdiuNYcsbS){4O$H zi5Yl%tcfbD6WL==RAXKA9)F?+>kjS-Ch9OF&o7+NU_FRmG@-?MX+Jih!}@}L)r0{v z@dD}zBSs0o%mjtvBZkqIYe;e}X} zE^H79u_xWw5FO%Ada&VONHDpMS$W?JCpWMWlZ&|&jr2%8Ls9g_!`owx6uJjAAuec$8}=Aie(lgHR}a6d8`g*$l%EPFIQ zgB-B!G59Qfz_-WZbHM|FJsx-Qeh}Id@Ok71kv$P#pnt&ZN%&&$2bDbqck_N!+f(r+ z7T;(Q}|l&r-;4c48G1gWKEsL z-$xGFQ`z_j^dWyL2mdg5D45E_H+Vk_r}FWSke@|U1^CDG&)8HU{z>p>)l@OQ$@@h; zCB{ERe$h{X_-FJl<|!2aJot-aiomyczj~)i@h^~HeN$z)kN!10RgP~5e~nC4;yb(} zmZJ*)5;ubi_Oz!v6?H9McE*G4I4XeTe^wocN}X@Cbbpo<7D;f+vybC?X1o zigQL2=b%x^&KTlcCMw+-OPm*qI_-=nqJeXAoe9MG=s88sMB)PG9Nd{iTo^j1!kI$E z0O!^^Q;Cbvb32@A#Kp|H15SXrBy{eyGlPf)&RcV45|^UqZ9B6F7IWUd^Ar&mI`71J zhKL8E<7Unhm!Z+gGug!DOmzB84sk^&`t(d5kpP^ZJCjdbiJo6HQ$SqBoR7~G5?6=L zub3$&5`hb9XT-!c=mi}!AaN~o!N3ekTo<}vdWIm9fD6}VN{Q>y3%6&=2sU%!{!BTM z9J=sirjkejV&Z12h#SzDuqKa7qkp^5`J8L93=*1ngCW6acJTS`;ywJtdvlapXE?Jwk61Sn3Y|q*VK6A?U2-z(Br<^5xH%VbI~toj=O*r8V$q=1k2feJw zm8keHa~bYRQv5G;S%oV_kqum4>q=GJgI?a@N>kj+Tt46e6!(QLpLS&^a)2w=T$zgd z(JQuH6vlp;5D#fj^TA`eK2n?I{~08L1q&sIFhB&5&hC>{zWoSx59P0tgG zLg4DP`BKG`=+)cvWeO2<_5OUhq9}Cr$$X`v7)Xp;s8T$ICMGXbE1qT&(-&$K&x8_B zFVrc-z%{uG8ifSCrf5N{kTTcc3p#}?bWO#AK>-5S)-D(o5PEILf=K~0*A6T&3M6#x z^nyi!0@tlASQT>gy6pv<0%NY*U$86i&~+yZP6YuZ#VxuN3N$Hs(XCK2N$HCoMM)^> z^y0dr6u3TjaYOMedVSI2rs6r~dVFz9@qFm|ip3p88NjYx+*Q1QvO5;{6fZLDfyI#G zr4W01@jy`yB(E(VDqcpDw-=8TDkgb<@mNt2Nf`YT(9NcdGI&^u`W%n(}St z#sN2=d?$3{v^zst1KhOc&Q!jO-n8w`QmUDo_T8tHwV|6%+-H<^Kx*95S>=0ZYVuOH zvYtszU&>K7gi=p0y$=-le?@@_Mn`iWv#N8;o!?UWnYL>v20M90B-HFQAwiQ zj%AaQVz>j#jFJvqNTb2DNZ+qFMG&8*YWxH}9#5-AbDlGsIx8hO`qCoPB zTRFr4=_?-Pa0ocPvaYlOx8<&EC`ZuSidHt2qs(pi%9e60bX&#Bj?xD3Ygcxa<0!vl zWluT5@CQ~x%E=IadgVZA2h!J84wX}A`u56^(!r$fuN*6q#h?M{h6kB$g~Nx8t6qlEu*N6`qt5H*iO-C$(e= zy`#gERp*7Q z>e-U_(ahx4?2-?d%=Fcqk`F_fr&sezHh{ZwSMy6gLhmYCEhzbzxeH${EcqmKSH)^^ z$tG}j?W(xsQ}phRRj}kU=I()2wB+;9-RDL9A3$~1@hDmV02KrkuAuM%6||CBOcnYc z6#x9uVCggu^JH1JbYA@8 zF}E8eOa2%9`>lw~%KF%QpL@AivTpa;wRc6VSg~To`iNL-#V`KIix;WtGP}vzzUb_B zSvQ%zXw*YqSn^BL+RM7!WnJFobu}y1!EzkyealIl#NOMX^?^0FS52O!S=D6ua%0_i zxA?xwmbG=`^5aG|b&=L~Tld|@Qf1cUOI2CRjVgD5*>3Wkh8rK@dVuTLn=J3@27guM zn?EX+iXY3oDC+82U~V`7OKlgxTzkOi`L4+k59eZjPj@;t(WtXMa;$ZKa zyz8=xAL}Mx=anifl{c0w>aMBNe#v#SmUWuheQVw4*&b_Z-H?pL`gRs4wqyI&AyfGK z`&MX`b=7V7(FK@8YpIrs&B5Zjx$}8!dtDgM9ou{9 zg|lRCyLO|Nd9}8Re4AMcFlu|J`og-aH>zqmqj!Mk0$vc!62P^~gSE#BZR#?!^497$ zP2I0I)}ik0RNd#Pb*GkF!o>&`My%?l$=eaI6P!TyZ1-j4&Jx%5?Yy(zYb{lPh?|aV zrmUO%z0#_y;$SU`EK4zwTSCg08OT|0Gh3xukzsP>IDqS(4B!Lxxj#!hJFs(WRX6Lp zv#{7rR%RvEouB#Fth0;!!4ftrRF!6p-GLplN`@-(BmCq9e!vMNv&6SUJFTntIxB55 zRa$y7^*!N$R;sn`ti8UU(nk(w_naB==?F%@XWM#~yH9 z*Hr~x1`k>-IKQrlK4;QcZJu&5AcQiI2n58J_JhLjKzO4L6-0<0N2K;~AO`~l^O-ZB z+m35*`U;$r+C|n{iylIzIi-OCak4QTZp=ABIJV>2*>Y27lp1Yb2;;tQ?NpbWk0i+& z(ja?Wny6g^rQ@8^gIhG_7_RO3wlD?6CkeBzwHWB?i@kFNtb00ppJa9c*0Y@e{Z}GR z+D+YDa9alG%EC_PF9z5t9k>f2pd4&>C$yK%A+O%E_Ocx}S+Nsr$zao&U-H7)CUm$7 z-2_kr+lin;I*p=QQEUJ?tHA!Y+YYSRS!;k(O?tj)=Q|L9MB@GJkG^=p#jq-s-Q)kq&SnvcY>yTCz{>8yI;32sdWxJ6pjJ9HqH;dBO6@4(cXdmi*wr@J>toIB zb#4fzC&s0KrBb%G{EH6jKI>m&|5$f@aj=UXc7jzxP}h&byg!4tR9R)qKR`~PObE7U z%Ap@xFPd}-lLeSpilzq)5<@u54`ggRiYOq{X1h+b;3Kf^&k0q+hN-YV`Uj|g6~g)Q zJ%HDt!!qo?3|h6w?(>!w5nA0tm1CXyssm$!6zg8C`3E3haXU2jChhLQD9bIrus(0q zJ28Ue&=E-7ZBX5Lr$7+?o2yC>kyR;vxBXWh3^>|wH`c0C7L2VBhG?C^gvD0=xLrL8 zBgg^BsohSr&HcxO;A8*ov!ec(-2&L0yXMUwTn-4n&#ra}ClsQMBR1N{8#Th3K;gkW zsyJzge&=ICh%X?x9}_}y0m1uN5dOU%d+}mdr~`PEUzi<{cL&+;{LR*eH%YW^@`s0l zRzE~|T^Hau8eUchn+~4IrmXwaQi~M&=>rR<)(VDuU*&WKV03iox2v)9u-~Z*Aob^T zeCE*4McdC>*aTU&5&(?=*uZl2&L9AfJ$pMz5)QqWz!-n8ay7%|JwTj6!^5sR?KzC< z%&}!#?x1>GD4L(T#Z0x>pBNu{N!d<(*1atO)|w0-&;A;}Mext&01Z_Sh_1MEOD$fbY<6?r3}r zcPFq;CW$SK$5kzA0Hv5iw%}PfMsToMh(OUx^$bqvFGzg)(rzCG9FB) zE%cCTXUk2$++x+bE!BwU!b7J|`QDrh{N6meeVU038$`zOT@`RNQ#H$5rIr@#{Vu=c zh2!Ms1Le&`3@`kLkjloXO>-@gX?nD9aXA_BV}~6w6DC~1)6LrrU>rTx%mS@C;5WBDv<+us(mmNWG;IU6O`dKG7shrB4q(R9 zwsbchYwJAS)&&+bVdKY|(a0dPG^zk(*Ny?%o&D+OUc5+i7@qmEv+vbXY4elpB7zd` z4UOowUoJD4F^!n6*7z%rOTdh?W&=|JRx@`d*dJ>RBN_dmMIj8qUmfi$h-&MW2VnWS zG9Ff!^L(MQoCurVc+j2f-t`9aGF|j2Sm}H1%sU;L!K#IZOFRZrA z@#Wd5w5cp-ZU78pLdh?;Rd#q}KzAGvjaxWQ=2EIs*mS5>JIvIZME== zxGPV_OtYn-Y%q*Tt2$eD`Lgd$MuZ>J(tFP;8hr*#3YQQPY7H4>4Wt?uB1_8}Z1LPu z?y{Gy{loXZmbQ2n`XJRxi-zKgZdb>RV5uJ z$V2EY%(8ukYh&AJDe*2J8_%qKJgY#nDZkD!By1IWnTzJ2MgT%kIpZ9<+6~VhpzzXq zv4DHJQ*z4k*aYXph$l1T{*VK^cCV^Eb^CNYvw+SxqMq4a71bl`;tiub#w~Tb=@rCt ze!?lEJ7ERGSarY$!Ws?G= zd;0fJjM_PzPX#&e^zW|!NwK>C^r@idPyfEjyY`c!cLC^K(L0AV#V(xweWl9WK>Gyv zT>d!}Js4cn#L4fg~)n$=_jQX6YxT<26v93W_J2uT-x;DSqd0J{9D= zbD*DG%3Ou@sUUf>1DCv<{e&1^0QywWJ5ffau>2Bc04NIMc|}7RTcu`@>!pZLZp!YPzbj zDfCZ4Eqm@~isPrGp*`<2#q!fq)t>*EqWNj5Y%lyw(fssuw-st@Mxx^xr$8P z^J=_iWX@gISvxqw0GbttZe!^qFWz7utWt;VIIeXJzL-lijU%wYko`_B82bjpwi}Qj zJDfo(6uz|DzAPEUb_JF@)8Sc+8OqP`ShL}d*H>_%lZ(Ed^!4o(Tz#vk`@GGb9{v)9 zFCYRQ)PacWhQ~TjAmN4=5CVa~(4T!}?RnIu?~R_s|+1^gEQ-%v1tnNwYM6=u+$aEXtly1~+msPDq{7iwIvD*m{XRe_*dWkZ%Z-kjqj}b0G@B~r zjw3gLD33v~OvsD@pjp-lZ8@x5s$JU`=L-TM0W#OvQRlriqdJkjs_SmS`@*itRdGVl zDrJmd!7Y=Vb=Mr~#P&Yp)!SgkOnO5EE)P8HTkulrth?q&C$Se9qY|($88L;;B{5F> zT-N_=+lOZ`G-J9@{rxIe78y(8rMe413NxcL2FKKz)OTiU4Zwl(A6sVUUEeq5Ia9Tp9Nm_i%SHFE zjOm_?`3yaurFTPXGqs5NDN+zga;>D7^puaW;ysr;Yj+ofoMROrsrj|)yNellP(FQ{ zb!S9AuG6^jMoJbZY~&x=39LTy$)vS6CD8eHwyvy0Dxz)R`48+>R^+c4m6tVZm_yvm z_uC6pT^sfU@4G*MAltSOkR@9}a}7HHCs*`TQ_xgYu__` zQNieHJC){rX_6_zIF5svJB6AIP&-xbl(m4GSoF&!^dI-=p3%Ev{^+j(K!0L42(IW7PULGe3yZJTPfv**_| zxgP3z=kB>!0W zlfIuVcaT+#rq4TA7-?Q#g;3s=8iF%-UV6ZN4MCtk%dnPOUhVg~R6{=(ZRKAv3wh46 z;Re3mFKcr&4qiHTrrLwm)XS}=N~r})o;P%i5w>fr-RVvE~F->d=fUfKI% zb#F)jGgbZ(H1>6|I!54`8|>#`?Tdl<@ykU1fg8wM`-6QCyEf~Dn(cF7V0#X$#o^%w9E0*O?Tv+M0iDiYBun(OR(R` z@}GC7SNs7qm+ko2lhC!5C7)Ub(6lor4DF3tOT6};eM%CS$!?1ydEwFTKU^BdPka!Q z|5*H+O^$qbDEW3E9$6R`qa`1%u<<*COpA1s0220-TJq^Cc_zF2od>|5GzH`N9G+vJ z4Sa=RMz(rqXlOK9kH^6M$N%8P3kD2ZH%l6naI0?559wBUQR{aT9Z zBRmPGqvoGENfg77n0K378}>^R zZW%&U9;~zm^;D7FK?yYs|58R&lj7^@vQEzC2<<3g|0 zJNvFLa>j$USMW&C+^y1EdjoLUE?X<>mBlbYEUm0ERMPP~hE^)NR~0;2iFu!blW^dh z$ZJxrD|0&30w_*CK1&&i<-Uphfil8n*vKFe>;y~PY^;u9HaQbjlJrW(lhc+=JxwAB z*uIGZ!^XP;oX_+x27H72VX_N1^H_{Qs0A}ESDB)I)QpA|dbk4A1JF>o0o@>Jz(mJS z%-e$*S6iE`YI1D2hf4rp&`20`2OV649U8{bpZxM1^}&&maHInp{FMddv)5poS`0{V zCMc!uGA=Dp13B|nEihl*nzNoZKUnwmfq`lR06##$zh$RgQ~`4>Wpd~P6DrfZ&+dVlv&p zTOdNg-!I@{L&dV8v_-__=K-Cd{63e2XT13`&zkyOnq(^o(_K!Xj0VsuIcR+`DqM`4 zSoYmUgjGHM4LulMWG9Wma`P#CL;1N zTEJVmiDjdS`AR*wlbG3dnKO>NwKXjBO<_UEj+5TT}AM^zjwt%^b zVgT)qe&z4J@QXkA^*{fcKmXGo{>jfXdzUG;LFh5> zhGFB3CV}X-Qk6Fc`-lJJ7ykB7e)XeY{^O7S_|F~%!gPetNoF5{RZ~^-EVx=9m_Vt4 z{O!;D`bS^*$B*L>F<3vC3kJ;E>{(@ixt-GcqhJ2kN8k9R$9sFWPg~?=I0FT$wE)1+ zl7{0U=O5}3*5CfO-~GF<{p_Q#T>J+wfMT0J}`Nppdsc;%%sZu0fArn>JNYZYmXxkla%pGcLw7@_LFpjZIogwF*3fx9Pje# z7G(M3AN)^0_ar`H^fK{hLXDI(I4H15ksHqVyRUuWqu=}IAN|wsJPN~`V_^c`0B#`n zD%e2zAs<%d7r*k+cfb45fAfn!{Ms)(4gg5#{#jlC16d&JL*Ot_^=d!&2mj)K{OBA1 z^Dqt1c^UZwa}0CP-JhR>&qak{IwMm);Qtn=x5#`2f9ri&a@cmsnNbH9AG^2fzLoKlqu)adGEN4hM^jFo;Z=5A10fDZmX+ z+xI~1{_cCf^dx_Fw1GhM38 zz<+x^xspe4KlsZ({o!B!(nsI=&Bu8zv_p7#FQcO*=&L1futpNm`p=;Fp^MhoQ$PDP zu<_sgtDkvthW^WV_Bwx$(d{Zf^x42VfBDU)gc5stFC%Z5QUMms2EO^>@BIS*_jq6Q z23bdu2zdaRI`aM>|Jg_X;^#m5g|9ui`{um3`afQbd6i=#WyWJtwS^9XSyVH}$68`} z`fR1-Ls!EvnB7rtls)t%EPdV+!f!C>8kh&dT@duYb1P z=EpqA;rqO)+d|#biLCGQ@BiF2Ap80bP?j63eNZejaoOT0{^4g=|7GTQ*l|3Xs$hsQ z>k4r1p$^w9J%c9L#kS5bv~;fa^o&-r9FoMfqnC3BpgiEq0|=&)(hrsll#M=BIDT%S zwu_d&Nx3^22j-R~0U=#y{UeL<8~EK?)oV=fII26JjOt=k9~=an8y*nzrgx+0sV#C~ zovOp>2qrUSt~!M@ok9>Gn)!Bz%G!jatVj;G#Jd?LU~psuzVFZI(pYgyN#$nP^7n63TVBoDXQfkpRQh$h6`CSd4 zc-?n7>-Ic=rFRw+u6g1z92q}XN!mXnJ%?rO3$pJ zBoEoKPLV$WkKN&ith2JoGROjKv%P$JbY;f)q-X*K8^e#N3d_dI%3a4xecmffftcJp z=8f{Y|5zJniVk*%AJaHyU6!TdWJ|akXB>?6EUbIQ(2TrV=1Z(7le|0YA*T;C0dB6F zG;nMeKVfqFE?ch;CXxypFK={W_v7;E2rr(%!wv~x-6YUeB2owpocSo}Orf6Xe6d3U zhc;4QNhy+554T_P&`xK3CRt42&jcBlw>>V?-Aib=?2^?^nby?vnNSCM+XHHa zU+Ep2)>hw&WO{T`CT1g;KmzXvFhRllECZHH9Uus3X2@$9-kwo=n@JoCcC6Bsaoh$8X5*wDCG_7a5LKCvyOR8Kg86wLno z$Mi|BjyQoQyxiI>L!*kq)|QX1-ZPp%%&?Y95l#})=A_RxxA&|8#S(ms09x9MnqE6A zGc|e5V}5B%g+twXXNnA%9NE_1EQagKE_> zH$z)04;O}qlvPUml!2N6+tQ28vvn;e7wfUT=g_r)T)WFlUHV3fq1lUmwNgb5RS$cD zO=*YHE>0neb;#C6m3FaU1c1!3X8PmMRGis4uRx%->V|t*+Jc7Jx z;2ZPqpzZ7r7uT4Bh{q%grc>pN281!nXhbaHb@-v~5eaj!l41*HY8IEw5n{RF@_Qif zVnJK6si4OmX$p9b%uou;Ewo}=<2O~pmaBQ?Uky!Ztt5^CyQJMhxM2QMxZn7Z7cUr7 zaXs1s8((Tif)AwDMmx4>P5gxkx?rS&953<&6BZmrl&8Ze_tfcYt&rH;FJ>X*d&l9PzLn0c{jr*=n+XU zg>Dn-Hu2;Fc`PNP+t1P7AKOPX$`}&eOJq2VDM4#KHgRULG=Y7#gXbXkXL6Tm!{Ei> z!PqX*?P5Ex_j)YIl(`*_4gSw76-XfVx3;=pE37FDSBnm!u7WDQBALMF5a5-%05$rG zl>;kAygrm~zE?=Tb;MQ@OBAscPXay5bHt>t9^mpWHwBLb(27wHutm@cJI6r>-`>3W zR+@oFG?<+?|>8xcqfU~gEgKItt`iAtQ%2ioC1k%_suYo z#d=Oa1K1a=q8hUamlcYaXouFn`6s_hU?HUR2{4B(N%eqKhekomFOjBmw7k!X4cN)1 zm6HUddZ4L3C%rhP+yO!XZYl#xA{%3kJcv#x@K+^(3(HRPFbPQaATbN$TD;(e_=26X z?Kf2hQ^gfZlI)?7J&-A)nXcKkh5^!&892>Q;vyYGPu~iG)gG=+wNO3Vc%p^b#?>ng zV)%0geC9lTsyD?3Lo)?HT1teTXIdt*I+rc|+5f;Ae_}eES`9~oVOovqSZ9h_6@pN~ z&|P2?-lh?QFy zbJ#(SGeOUf7Ky&SIz)L>rC|n$qX_OC|DrX!*oBCJKpaB#E0b_fdpa`@V2bUw^YWNl$}ho73lkJ zM5l8_Lx>e)t!=~7#AgV!yL!txYE^38>^HhwG>~Ekm$}Mcld!L?atWDN(%^iI7?76z zYptEjzJ(6VWV!m5a3K?7&;@D?l%W)A>w27zK}bTlv?r)KYl{&Etp4+V%ao+8b4HSk@G)cG`|h_mIutd{SXDC}Jr1bcDf^fw5Hcq@o$E!uenrZfFm& zHnYonFUo*h+vC?WcxPH2R@_VQaOxDwd#%hs?RzJ6pa*qqdw~GgG3eT8zli~!krEW` zw|3|a;Gs&_QpE_i9g7T^Jm@2=0nvhH%dE&)VeBvt zKracFmtJ*jHf}gLquAQ(K6|ik9EWs{Wf1TIhnP#v@z}msn$Fk`oKDL7OtSn5NbL_S zRm*$Qn~1;yjj=O@=8PrrHg&sW0$@9$IIX-h5Mt5vtTfF-S~?>)j(db045SdJ*|jV9 zldnPMbzQ9BUGPSp$*U4A6I80N08U|$+&n)zFJ={-r!Ya$(jbwcwq zh7M1`YN8V?JZ?B&sk$P2hJmii2!DQMX(=S4cpN1ZAta;Fu!X~|apL9QP~dDz7EOMQ zKgFzM2;B(txg+fZcR<}WMHcr`o~n`y`w`wy#c`m=iQFJ^?p*J0$2*dvuzXt6Fgu|j z7yzjzO9(Fzn&L!uTv@;HL?jK!GF(~&hfqP-Wk7V#E6i#Q4jwu0oUgqrVoqSfHr>>F z$u%6n^_|)bh_PBe9dFg}6!yk-9>EO`7sxLq$av#4EkHMrZ?9myKV&5YN4w2sQ5?@K ziaRBs=fE*pbMp>LW<>3z+}kkOYvRT|U2#2O1z8sJF#xk7lBF=zri2&|E?1fJjlqtv z<-!pL(+Ne_nwrc5ybDG&GoPqfSqH7PoN$;lVNwY;tgqFW3dD`t^U=x}P7JOI|Cqd<3~J>FEE(75L_(fnr!BS19ps+MO2-@Fdh^j@ z>sX_Z2buTTTD21%y{9>9)>$9#mi3+yA;P2n*~XMZ1Ivz`kM zm+DUo4ksBjD}lm_S@#Sc1O?Lid@G%qZp=iJdtqhm8MbG?~x7jO2{Rmt#19;3a*_BS(6-w(r^z`X;mH$1x@Nr#AG|x~4%`Vq3{& zy^)U^7Ra2P&I1(=6lOG--F2wFVWie-2}_|DY!S^V~7F!@X`tsKZC}S6Pl8D^+UF@ z?vx}`x7#;=F@lWGFw8b(29p2TLz)-a_Wb+V1}oQf*)FqdUg%20tjwF^l-)^rQbJ@> z(f7Z>G>zu_-(6zcoPIwuv=B65gjfevy!rO`zgs;H@y+*2aK%<(i8hMomS+$lX5M@o zJAIKiMgIM7xX*L4$&wybO?}-K$ zuz}_{|NeBTPuFpT8C#RPX26_sglmo0yYqQ6LGOIvBNe?faF=X*26Vb_PPfAmXmSCR zm(x%RTtO!~1vp*mvqd!Q7@X9@NKRMov{*(mTdP8Kss-5&ei>lo)153k$zM8wddhmII%w|jRb!Rc=rS~($8$UIfX#@A@6JNW$5eY=dcZVwlGw8Y#up7u-NcN8#G%AW@GY+pj`?WGM?O}EhuSWfiN?2D=WE9K4_z2Y;wDG9SS7wP z#O!vM-X|zvQ6TD_aY3V)As)=?kl&B(7`+g=BW;{0U`PXyVtt39S?qhDM|@-tOm60c z7&q^SHc=4Ua>+clnen_(^*M|To?6C7E_9;M2j#HJt9o5Q$A^6ADLxY433=sU_oe<4 z21|5gPA{3kpsOvl>0!L^k_2=ypyMcX0%rzKXRCTl(+&b&uzK^MK@fX$Z^j9CM>60CeeJH0$^aJ(j)h{;O)pASI=|8 znH$o}>!dpO&?-vo$%0@Yp1Kw_v9;ZBZimrG$jG1jv;T!}uuyWyTNk#ez^`l*m}!3J z$C}rK)?$d&tTQQIzN+OR26rxIv&T>kco9BbS_g)|2g4T**?jod4PjyXesDYMz@@DF z&!Y%d_(>uSBI5g60D<|!qos_3D1sA}=pW)mz?bse4)dIMs3aZ4}?mc(%`j?t=LxPMin|Tq&M5IsyB;`fNh?55&iG2o$`2J2O#D zaCg>g&cXFH89bZGTy6pvfKv%ii6Gc{z-p#XmhL23!%5^V4E#v=MxmYy_8?JlJ-Xr? z^c)hS;45T_q>weeZM9qc!u41DguP)&`0`*?$6XZ>7J$O!Mt~6F8_Gd1{NV1 z#5cr;c_?@pv4ZzNuTQ|+Eb<WPyj~GOE3N@OCpP)q?ZzqO61-6W$6CYWRP%-wp*}@*V!=P8O5hfWuP#5>CJ!2 zf>(T>S*0B1au{#^GMfL??0@^WU%Z&Sk!k|A&VxSmZIwJ(_jwDl@nFMd?z2gy4e?B8 ze8{d!i-V~bvd>e-iQMOMM`j{BB#I#xVD@^qx0-C(^trgQ#|jb-T0jPUo<$)(uRVZs z*qER`#Q;}VyvJacG)%Zw2b+YtI@FWHc!9(_0^Z!w!z9m4fuI9jv_!}Np5~Ji14L^B z%c$lV9~8B~oVx>HsTVOk;PN`Zw;dJEaBAUOB_w*2a95Lm+ zkEYa67z2ZZy7rY!0)D{`Oj90#J1j-&x=#a#nuLk2?>{+(hIjR5l^y+#&ogs?$url> z{KPQ6jh>RItTCTU@gG5a(eOdogC(=GLs-!ET%dW6LJQ#P6qLgH0vOt@H6b{<(A|>= zClQZ|yr)M9dBO#6quJzDJzddfcpla!W5ni9Lyw+gd`H4=TtgrUW535v4d-0Zp@^7X)Yt^}{d8e5(g-u0veD=0`X z%hOQ#2$VJkdG1!2ed5XM7|-o>XYM6Du6lX|_ngFfgjn-lmG$yaQOPLcgJz(S+({Tm zw(LP!$H%yXC0k+IvM^5Cz^|+{VSHC=XFfTH2yDWWr|AfnQ}C`2;BpS0JBVD!0&94M zY|->x-@?*@+XkcaY4E-+hxtqv28$QRReg5jdqHC4;ZyYaaK&hutmQ7TI=)K_bv;Pi zFdU@q(Bkx=$x-)t@L{~?C>3boyIPL$AxZ`Qc6nqR!Aft<@Nrn-BMdLWcFr?G9IV4v zc%K;}I_LhQs4}vA4I{4u_l~&FgCt=<*3*Dvdzlp-3!;K%xZyJcBv%xM z2~pM58N~su(R$x9OeD5N%8D|2L^IEy(*C{yOBT!bywDa8Xu7Zw_}zJC4Cg6jah$|+ zax)GC#@RnJn0sw=`4eT-@pYuE+9(Hx?3o{R)XSL#rAD@f=gz2P>1;YS5yjrrlawTOz?Kq(r4W9uY zJZko7jr-iji1-4z^UNS;c8(@fJi&cpD=c}@xMoCj!lx)jiwTh)fgN4y0S({P%kVV% zE|j$18;=el*Vrueyjr#PP~D?>oNN-C{q(S*6GX-gc(-9$bCpG&nD=^>xBYimE61D1 zkyfnoj|}@KaQ9h)tFW71f+BZKtzQ>x?eU{^tVt(vlZ=7VAJe?uvb?dP#Dl()gxp!l z`&-^^@}ab58TuCAr3M`S_-Q^PF3)wpi~?)Dd9ZHq=Uaa5zKp~1FV;_6w>G-27q*XY z0;^>y?a76i>G%G4kk4R7({a}E7G0ijgj3om!NcnC`^z~;;PapW%)kgwKzE7=u)feR z)Od9e&N_FP&n2+;E$5}=SiSTGu*MjIqGKjo-;D64mpQ?#3mo?nKi5752H*AwEt7cS z0o?S?Dl{WaIZ0?^ZU}0Ft3<3#sF3AnxkoARrlEP53;vZr*$c zcA-Hmw1-ajJas>ZST1$ogPAPoz)gRbEm=->{BkmN0UN>LGttwQTpWbstjj#Dgq7O9 zx*(cVK`UxQHOX>0Y5$rkZh!>w#aLs(>&8m^h8Dn(oy;()o^KgSU=rVF1sBnt0~qjI zm5pFt{ktz-G}(}3bUdPBwtk&XD_=`}_VGS%rnRbQCS61{XNBiGo=bE8>SqpbSj;3Z z>%P6U`_&RsnRC%IdWF@_UuSuvta}Du(W>|C;1wf;vZA&&wS?w&EN=-j_aQH)W9n+C zk|}L1i>#D*mE*YWu3%08$K?H!fvfl;bI0OACL{@;PNLYSBj^_@_%Ni!qO*3lt*x7s zQk8oKgi`BFk07bhi#-xKCGg>oThWKTg>~GK|tN6saff+ zWL>V7*LEd~;xp-U{>tS&ZYiZUpBXJYj>fMfOVmVXw*7(`*D_OPg0r&M_SSygVW>>A z4aE!=4ODp0*T}r|vAtJ8Xb%+)-XGrszm7m~M1WT~^2BV{oebVkBz^#4xkcaQrru^J z^mboa*j4W_Wu4_xUd^L-oxDGpJk$HJSq^=*9T;oZL+)f)To@}X??Kn+AkS^v&MQ9p zZJsuNZW!-44EeA+@CjVz=sz>Zr3VJC8^*;g>vEyS@HJUw_mxE7KQ~dmd)x^x!*}6B zG*aI2Vt4Y0SHxapc?0j7+~W5oySRO71i7?gF4xwo!4>uWd>-)9wtwXE`E^G?j#^8OF{hjk!}$;?ZIub@xNwS)UkaRax&^a-N9Cig@Qm|n?i)42(-A6ej=Hz* zusgHEBkMLFho&kxC`;Ab{A5c~9!Plr)s#@NTV|lud_3TlC3h$ZWx}>@)E2%4??VdN zm9A@d_4Yu?cL&d+(lZtB{T=onUn*+5LopGsQ$}qW);eh9yr^I2tW`^l@xR?Jze;Ag zqR@jwV6p0kRn?2)5t|_2EG<@@O6RF}B>!I{DoKD-hK9Uh?uUK4SI$LvG z;f%W>UuMm-n#765p|_;p9TVBAXN7EL^x1LTAdz)+7-Pl~nnK~K%G$bnM7%oTIP@J; zm90ggmfLaCgUXcmqPH^XQM6_)3}C+Q!|B!gN2n?pvlC0Cta(fM+|;;|k*){|J7}46 z$>FlS!UW%OHG^?nE!2BVPxhu-z~t?_M_HDl2=w$>jf>$|J-ATv-c&5Ov&stca_a_ry_dJa3q%NeMb}6~^B}CLKBP1v;bd_`p{!kNvX%X$R-eYXt zN)PIdgR(e?Oc}F$I2qFn)U9Nv@L4k!Opr`sbD7$~)k$lq;hoplXXlOsReh7Q4AC}k zo|#(T(%yqv(1_)=vQ~X_5R1ID;7Bc!hs;wE1MT4jjOD*H1>$^K#GTKFJvTS+J}HjXR&^%P`rYl>bwkB$4+>jNP+j5_6Y7Z@;!s zpn7X6o?J6`a%3JDIC>$Uly~tsu9i9LLM{6C8lMiP_))|~$FbhcOpnIFWaIKQqORV> zNI#NT*JAXJTST(gw6=cIcn!y~mv`2R_eik2PbWGu61SxDN(-U~9*^k?ny$)<0rAstRyUTSp@d9cTi^;mq z!-_#(bz~&`XeWbvS_;nXr&iW%m%Owj<*&U;oy&;@A9uG*jwzPRk)IC3ZNRI7VUMgb z$+}{}>kG?I3dp{i$CH)T%Q58TL!+l{{k$dc+#oKU=Hnoa@u%e8dDEA>O_LqkM_hp? zK)csA!Q2psh4}Q<_N5hkw@rC?Gp>L;nu56+vF7NsbjDauLxNjrxSod-QFqZ&L7K}eu&C%y`;MTu)e_bsLh$%jGehR>pH0ARY z8L!oOE-AKWk|g$!ZcrB+Xea z<*a7iyhpp7tl@yMD-Y#DT8r&6TV)K>V}aLddBKa5MVUNZ1m59VR63ASj!hq7VPCUw zI6Y6*Ir^LSQ-ade>_DGYV%i@8p^i1(EUg2ZLGW$;S{p%dDJuPJipGhR0}?+Pa7v_4IQ9wj1DHB? zTN3$o@f0r(SfNg@v-F9^KH?iBwmclLsH@}L<9X?PPH{q;!j9IU=6!F<$>d5e@Ep@c?-W*p8M~Or z$QgP5z+Q7xoF6+@MtlHN5eEg4U` zIL9vHL5lQa1w_qhWarRN0ux^x4Ru{kI=OVw!0Z= zlk&OA7QEm!zwy?ml?W|;(`!xCkgh;Kb8NHPrudq@w-OR04)rsi>HfgdVta;^-mu0~ z4+jF)#YVM7R!S1jNs~aoC9_k^$d^R?UbvG5Ct7ggoZ(rfyrtoRVdTP!N#(@7GP37N zA-4~EIa#USt1|d&*G3Pnjt-o7MtIEPHW@i*pT^E6ecI$g%b{XMt@P^0)?(tbucF z^}UPLXD*%g@rR{lA|xMUd-V&k`1UxCxuSS#Int+;NtE=;i6{uHLn} zpycPlB5)21sbt(SO=tXUdNy{BR=c6Fr0v_f>=BRuB=_m$_p?rsRFJe2yYITbl-Byw zv7MdhDw8+#E0{gUB9*BWX4K$S(KXp>=us^I`X(3fI(N;x)wLxh5{+-9h=RG7qdbDB zid*{u-qd}OXB~KID=;(!+YNP1XY88h&>9r=rwNLYX$0xlOMOgDCo1eN-{xqRX`mWr zFxGO;_@IME;cN~Xrpw1|7QB?ub8S0)u2SVwBt1_TBKAZ%fi8-1Ed;vF?@uPB$9HtO zV4v?db7@jl>gIgx*pF0MT&zdt+IPVPm7j8mG$D7Ovu36 zt6^mOi3FQBQop59{cEmBdTVwDo%=oZHH%WN#M?`=69y4##C8B;f)j^n!BE0_KJ={4 zd`5mLiOL=<2f;HLLp|UPzddIWzatwAqsR;sJ7h?6DbHLABaS>{NtTzI4kJ`#Ty99- zk0Uz_L=7_Dc_oQ`=2yd@$HihX)`%}lOVQiys&6_AYh0>aQKrX8rW;a_MUEXwT2Le4!BKC1@6BI<=Z-xL zI??Pu{Rf}ECN~Zxw&qY9!ym&CAkg(Gjbone#ztBmta8cM@eVp6R~OG00j{e!Nj*gU za)n&eob{nr%Nr9ERMr*bv!%{*tsC1mN0M(PaJd~sS1u%O-qo1u0T>xZ-8 zDKoXt|Hf=zRg5T#j-lRp6o=U0;Ep&%L%0~pq2H+v%q!+nGD4prL$~^8e|g_J!{&YK zlv>d_wWxXdnm8{owZ3)W`nd)xf9823R>?79<%m~w1+Vulx!K8U9RQ@sbc(q%e-3l% z(4M`!LzbouiJyQsMo!z_*X7-bNYw{ z3Y}rC!kHHw2X^h@gq7T)Q9{j2#}w=DA(5S3SIPj;_NY zS%CF&bU(Vns_q3l#Mi0r`o`TN0?`qHV1mHF6V6};otNTc=24RhVWZ z83$$^;>d{%D$&e~kEld?dUe+cDspt=T-`P-jxd(X>9Re8!8q~LR^jatAmg&~HiOv$ zYcz_@`0>n3j^iihW_l1|iGOwMYZ7CANr!U@0!pkPvb%u{p#%5Tl%SaTM^OsTsLkX; zn;rs*5Scx2%6b=4lD^61@|>+<__!Ez9fQkJl)BTiPV%S8u)4k|;raNQkrK z^MJNz)H8M7%v7L;Y?)6}?i{Xm$CDg+(U<8ft%L^Xus>blq2p^7i^bA1u+D=Bnd^3v zE9lrJhjEcNW3s3`Oh3qV7TLon7UucKtduFW137c6R>5o$g>v= zIFr)*vq1zkS(@7Inl~zrErB%pDU2whLD=yLFS4to2N1tC5A}ngEU+yvs_q#C!eYH0 zA<4bd>5UFkapRfxeN9OT32j*GDE+g>QN(IU$&BelaF?b%_!jNTp4>v%KI_*6@r-x! zP0kl}1cfL#Rxb4;JBVfylE;I_gS`|eQj%(HkC7oCZ1k?A z_(fTBh7h)7=4vaZy+nfYjfQnL{?0GuS!*VRQdCJ5&5+g6V!9tJi}{iTpB#Ckny$GU z$}5tLq6*`=%Xfj$(0R#sc3gRRTHXqpODhQg2x2}<0H<-1bd-39!^m42Y$I#vd6H-7xxG42r z((zQwqac~hQkA=2tYZb|ij{DAGO#P?hKqRCG@dgZqURIT6&&5-49aW>0aX8}oaElv z9YcXPN*HjA6J+tPNNPec(1u9*th6n$8L(->=m>3y2cCdjU}jh{9a}X*l&7^~cZ3)R zCR_mv6M#Ge#C6Zo!&38q0#l-jbgh{w%*3(1Ba%@#fK0sjh~sHi`~;|e)93`pz=jPu zzzZNRH9Rj4;ftI+EA%cz48T_Kkq3Cpo`=iFhZ*%FBty2tsXFnomhMavbxlqaBlQeW z7F#qCvJWaXJvI-ujb~9G>$)%|1P$I84q* z8(`8t$;JS{3F-JYt|t#jaU`8u`P@K(JCFUdf%H}X0C;+7e>$_oPJ-jaydjtdq7zGa z22(;w#?Bq~=jnPdD>3T1t zWagS@eI`oT_2Wq|_azIenO@OLH+mVtRbnCSJT+k!@aIlCgpPOY;D;}vjeIjqdnhw` ze&D2o?*_*XLHyE-XRPL2T4se$QHm2x#5EoK`AZ+X<QI z{RVcbvSaUM7`o@p6XTPZf_s_@X;0O`hu}SUG`dINznmv8LvObDcZ`1KLF#*)1H<52 zdtaaZ!TbsjYjN`Z@P{&g4c;`r=_B3oS?68$07H}aa0;IrCX&4Q=K0rP!UFcMeg`_+ z)aUK-J(!NA^0CX8`Bq?H&H0pL3R|Um^G92>Iqjs6itpt8r2D$7-uwk@mp=2aNWO_^c0e%`vv|N5(M{>c1((U!Zl z;ER$eX1Y=-l$HIkI8=<5Xo$1Et>2O zJC;YQ?67LGTwXD|+J`t*d=+n7r^kgE`rz9|R%L0v?FKZG=h49SROGJ>^{~N0x0jP_ zwB6Q!{mrczUe>)lq*%fu0@C~mYD9DUDX{iKnvtyA`XOtpob07(11Ru`KL#b9MZ`Js z;a`8VdGpOO+rAS%WqpT^7)=#$SHRxaXj2z!Wj!=z+nw|{5XN~IBILdkLKkf`bGCfV zxnqrG$uok&x|2=RsQdIPPFKK88_dKR-NL3Vu*M+meY-teLFW$JD{o0>R<8%+TqVa{ z&f2hDQ|6WKb_Vz{lK7@!p|*8tNUb1`i<+l?BOLQJd6K)H#J=NO!58f*D>B*JUEeGR zWKKI>Z8OvE>IpJeAU%W5We@Jt9uC9R-Vgl)*O1RTfBzRpG_>Q04O*%KSls0ebF(%* zFGH_Sr|1_opHE3y{QoKrmq4atJc>$mippi9b1{x#UzgkTmTbc#RgM$*);tE zjk6-hW`N`>dNa>!=rBK1<0C@yIyNkKY6^vJ>cvC8y#n0E9)Td>lSf8}oONmWIvKch zua*yo0iSDdPP$!fLzJ9zl(d*w_B*Xmj8abfm58Ua#<^TZtuh{a8B`8?hFeX<%mpH+ zBM=GqWS9%6=SXN3`Ji?MhMMZpg({X>5u(*|P|m-f$w60BGr$tNwr)F8;|lBn(1w5S zC^xm9+x9$Zd;}ZO1TbB8YI_|9)*V#2r?GIf;$q+M!zQCfxr)uC0l_?v|A0*iqum&# zLo;l;eW4fWN=G6TXanWJf+3tX*}yLa%e?5lB(z{b4v~9jtuJReGQ<(YX`e@F6F!HE zrc8TZFY0T!WcQQC?}Elz1L6>!4)QDtIROd8xbw64bJdv+^Z4jR{pUHW;2u`h6VTsliAA!BEca(iB^M3q# zuw>x{(1zh>NO;KRiBP>9{-poK*E1=C^KnpM>ModbEmf1QHD{aQo$ItR-qxsUYHSHZ z2e>G8KM*2uh6R8r)$ek#skan^TZRi2M_Lw2+pl_)>@&Wt(OheNRIoHy?~PHNa|L%w z+_lTEXC~u1)*F$Hwe#yPDk;8Ff-}pra{U<8t{ect7T>q zvOC2Wk=_Bmt|cvlENec<$Sc0Q(62G-vuB47VfPJdz>{L!C%mD-;&j%q*cacwZ++Nj z*liL?B$?5RdY{=T@10C(q+x-aISbNF=jcluOp)(~CoJ`of4e4sJ&t(RVnWhq_`!+v zaOII5J|@G-u@xUg+4NAZc2TcYS&!`IpU)=1(rmMqua#bB48B*#C$&$Brr(^~Wz9C1 zhlv^3R}8<8lL@d~hv{e`H&!<;^Ed{~phAvI-<3|Tt3j7X{{H){iWK87>jrZ@qgcRV z&(kSHA9q3Y>FA=Vm+-p4xY;lX^KyBjM<|bb=v`^_IM!}>jy4rEx&y#uhiMrD-Hgqe za)mYC@E&->@cah#FiJ5UC9x$DagCws5p&))ZvcFFr}YS)g+9%Z?Df4M;LGFA`$W9@ z+>SV#gTp5}l`gyb_m=P2&i#5ah2Rq{!_zZ}&&CKp4*rkxkh~5!YK?$$_Ty`i6OsC~ zq;>gz9;RAvvO{Z0!OxNb6{6nx;M=&57pfCNT$#?t7*E&#lDF;nv~oMlXIuwfoJ;i< z)|wpudZt^RShc5z|J9$Eyv)KEA3MI|m`UKpO217?bEEB-x@xO_0doA+V)Ry)&W3l6 zt*G1Z#XV~&bwMx!3sW#|H_fxuI!3>-K4;=Pwq7DjN;5YtD>F)zzf|RPOrzQGgqFqI zP)1->886hBV7zPfqb{fL-C%&v^V;18=)ieP_xdpvQ-#$T;bS8#ltG>kq(V^c<&j${ zldglB_3LlP*XM@Lwu#H)i<<4Smevq@nT0KFz+i`MpfwFgj`pp^Fg)#B5g2Q!UySRGrdrKz`({vt@8F$WBQfI{IOm zxydG6&(u+ap7C*)3JW%AI4*!UOk+YHuSs=I1XyDsxeAx`A0(M8!n0x&N(Vymy1vR@ zcbxdTVF9D3zdoIqOa2-HI&|1(yPE zl~5YlUAC8}qpzY9emdm%!jBKv(s|nsu``*aL;rV-0kIc(mGl4L#~uF)In_dyN;R>^ zzC1A*9&02Dw;iHZn_gZ>{=n*YLy+j?Pcw-$sVF1Ch0EN6Dp{*qBzGo~TUFH_GKf!x z^bdS4_O6!uL46st%Rc(W-+*L&P+-N5Ri~OXOU+HuQsS6-J%VoFT^4HI)bJr^5;gh& zL2*cx$RE}*Rwaz%qJhq`_z1!SOhLk7WkbxVsN1tK^5sUJ=V`Ko_T<@=dQz?78qXwu zj+a0cY(D<0xZ(5abZ(g_z5+AW$l{O11J>F%UV#L0kLu~9PCrsSz@CNpQ(Qe`}} zVz4d~v}Y0*dOmYA+*a^ds9tipkCQk~VLGG^Pv>`cJkerymVPi5?0ctLCdON2yEU`` zhYhe+HThtv77dHMaoQQl$NF+0;I4tht*OsdBMZ8g$A-a6>4A4mY4&jX3u6UXu?g*S ztTohW{vb09Z5SM65Jm*Tf~{dj4jc&avfkya^;1cV6V`+9Sp7RYnO_5t1!G_GCg0}W zvF6}iCS1UzI~buo*727zj+CqfLVPl=(dTNKl9k*PoBGY@O@4qjf{2m2Gi82) z0d)RDR#+kkFoOjM0?`2ol5WxT4?39hjwN*vw>hVeKq6V)pIC!C$nm1irEeROJj?R2^Z!Pz)YE#YrHH+f&JyAF)eCj4+)cyfl z5bQ};0qzwW7fge;blO19N70!2jy3E-adp?1j3v_rexTKMtZw5>-zgu;TuCK`HBj5; zdeGRQGbqi14 z4X8FKB1MZu~=()q5f<+qN{z~<7B#~Pczk< z^Q~20rG+}Mi1?L$|Mic(ctMvAih+ttUMM;KE@iy!w4tqm^^&9unl=kY@wbe}*8$id zgi2c*!$GR+plpcgvTb&=oY_e=Wp~SWtnB$q$KC-fpATKuRt z?HbsUQl1dD@KcZ_hC`G135){({>jfS|2mux$2QaK>)4r;(>TkM3oergH)@+@r3L@* zuHW-OCB7YA#(-y$woj+cCA!E==om~qIm+kJ8-6nRIc5T55?)JSl!U>{blUU005d?$ zzsc~q;oVv2n&Gitun%<#r!&_H#8)$UeeWWB`GOG9B`%570^g|*$7ELDbsd9;Hw!(3 zM`WHN5H$3w3hrZh%-f7=qTreEMcOr!n$K~Ft`%At&`A>3coB5`S?C*dj#-qkln?N) zFUOTE%K14ngpZebaYAk(^L*w^7h526&d2oX!ithfy`3{!gpVX~p7COr>bGvV(%Hxl zp%Xb~>|hp#!`QBUtgkmEuX3`E;k4(?_u$bUCpr+4kO5 z#_V8%@Ce>;W5o0?J$O6|li{f^*IpJ-KO(P8igP@FZ0z`Chv+&CX9Hsi*1TRZB#&Z0 z;@g5UYBb15*FQ~VPTYx@ycqV~L{stv$z3!4AQ|20xCx!7X3S^rpXbA?8}l(-JcG+1 zCRudMl&1hT!K4V)`M{U!5nLn81t*>rq;Th6XnVd!_DKDUKdf9b?;-I-YRX zS9#ajtG(^=nJ=Gj1u@Gpuwy3uZp}S`U9Ri|G`VFGuldjXK3mj_1z%Y#cXa*Fw*T5nErjn z!`q6_b2r^akP0Vb@|T$j-C4n^(K8IsK$+iXazVM~Gm;HSiOzE~y}9JA^WYwU&|+WL zsSM`Y$KgPMaHh+gGin6B6}&07((v80@mxa-xDy9i7^W*w;S(_e9oUSA(9)L9B*rxN@U0#+4_{;lYRX{xmJYPsI)C}Yg!Hm{5 zt-@SeUz#664mu3WS{|Vc+Ncd*(JPm0ogK}wy$N0MnOwu0Q;H~A96>mkERg<#sYJ|L zYz!y^oOomk%moZ>sI{x>BD2?9ncwiA&nfaoYA7}+%NI?Sk0hBf#~99hp29Bey1Hbm zWXkDS6TR_y>A1}+A!cBRDP$rS=q;y{)=JrN!ANcFxL_u+2JJq}D(Gm^B%FZoiHY3O z>I)y4i#u5`pJV*RPwKOA>t+cbqpYjLt-Z>N(&}HoX_IKWX)q4Bw zw_nyDzW(;N-+ukp&fA6s2NoIchULV{%qdGHlL^YuVG(+eyx}ni-)DqklshVWTQfqx zWM$Ek(R~|?^R>5Mw*dOL-~RgBKj4S2zx~Zyo6mea)EjkW1h6;nRY8?JgR_Y_Jn$9{ zJ^vX{{exTEluECyu4XFy1%wDH*Y^if>>whR8P7O2P|h{CuX=zuR0qKPHBjNpZ-0Y` zeG&M58OVL{Nis*+r+z@#pkocLJJdb1`V~}GZq=LY-hwW`yqo$#VSq1c+I|tBf9>s; z^oKuu`Pd zJOA+QH>7x*+Q33xi>jKS3ziIoB@6CLK2g!;F#qhV-R5O&6)cD@OYu!G`&R+`%Vc)> zK)8!qJ&2(pS+WbqP7R`8Ad=^V37C-^UC*XmiU%~Y8<5%B)`<)4rW0?@Q0KKzkxsCBZqF7Q%Qrb%P)t;RtRJ( zK}-Sb zs1@+;x9ZB`VMm5@EyvQjdatwAd?l2xK9{hTYm4DT50EQdPY6Zs^53$s46>^2rtGn* zIZvdo?e`d4GL$Vzs<(Yv>X&=5$qtI1CI!}m$P)cGkyYHBzc1p1a*~pZ6oRx_LatsJ zgm#eZOr9eHdJjI|fbu2lbU;S*LY%LV^1m%Y>UT(#)3rPWnb49N_h?bq+q&;;a#&r9 z#w1UCnfm%Zht&z+XO4xp~Y9UHa5I~t+Z0jC8H(SB%y2)s>_yU7Nl{dlN_}E z;te|tSLXVNgzB*)@{%P&WejW-qDx)&Yt&@l5zPb9ZOQf&qvh!Z0k22G>pKq5+h3T* zY6Tm>%3kwSyOkaKt>a+d#$NsZn0vQS$+GlJtkkUwY#R)N{l16o>dHh_NBe$B@Qc9) zzZi@$el$BGc0}wGmmR%##5ozqU@Eg@Nwn0oG*UAobn8<0Xu2e~MpCzWTCE$N?80C$ zRAI2e5A&d$ZjFqM!B6&sjlb{z*SIhi>vfl;gSM8sPEy07)GfBpaWeGOy%p*TBH zM_tmx@Jur1c_Q;%%)sO!6bUj5uF>Y*|L~vyL?ndl_w6Nxv#O$ghyjv|QP%e78Q^E$L2y zVszr8=LP#Czk#lbLW)K(ydjyJ;xBW^Tlcaeg4}AYF z-Z}7TdM~5eEm+{5ddG5>z!NCZTe0hUQ{&^8t2Z^kMNnNc9+DnL3wA$u# znf=Z31}kPJH8K0PNDpGl*k(6MIM*tf>eu#n%q^`qOf7?WvlpQsrv8Q zqO$(d|NM_$H44!a$Tf!(WaUuJsBU4>^Py%6?Wnxt=&Y&@8Zlq1vihskNjVx+27beq z-urd#68Fzh`Z}N}IjDHW+S{80R@aQKog1Fc(3WylHhvj`e?>RrFN^BLv99UQx+F%} znOv;f)YXkNKk$jG`vc;B$((fO^HI-dzCa?stWLU@-s#I4_x-Xa2X%w<%Y1~mFN-qt zA-Bli;4brvvd?^7mJPisHv^rMU{Vk*lYCxPdsH0r8(IZN4J}^FEaa^CZ5^|ZWM}zR zv&~ioIG*#ki?vOr;^=tV{Z@alHI`Y_Ko&re~f>EkZF z7J!SssOX_7A&aAgk1KtSWJowQZUFno_q{elq#4pSL!?Y=^+svlI)*Yo46&&O@gNTl z$0Z36NFJs{XtPQwodQ!aFY*F(RWitgy|&M#^kEBG&4z1@R9KP85}PdEAd9e3C8HLR zXC(IG%;ZW;uD+L**^EA7$LWD(wH@b$o{y1FhuQkhmP3j@8jGbCls+Z~Y?Kj%a*!kG za>#xk;2cmW<&NJgaZ^4H3^S#p+J*W^3N=nboMNTK@}dZvN$3spW$i#I%d1eLcZ678 z9FkbWA7t>|HiJ@IEpQ)TVW!{GC_)LrFoQSD(D!s|Iw1499I46S55`AlG*qfwRVvLG za#5y9WHM$ZV{kHqh@@Q8AED*A@{=Ut6VWhJILIXM_vCKbb*mHQpb23#%n}W<2wU)| zRT)Q!Bm|Nva!sb5flu4iPg7k&u_+~Lx0qy?KnSilf((*VUC`BPy5<{ z8R~e-@Wg(b$80swTj)4vre~yXC%WaforVsG(U@eI%WHE9xs=W}0u;AwZ=UX&C@j@% z(T~3M7BSej6;=T5@dID5{5C%txbbdxw#boG^9@<=0!qF(CyK`go#lqEg|msCo#s28 zzT-TYi>bH}3+*(YR}?YRDA=2FHd_}B6nac8Cr& zJ;-XbHa!gO72|^ZyK(9u@q!3992zpICh52}@{}X*(?NjwZ)LoE?#&RjP}q`G9?+q& z%XIMKBnf$Ifs(!5cUL5rI^!M+XjQG9G(*3eu^N1BTGQoAqSU2(b6wCwd?BUrkS?b> zpJbkRVM=Bw?7*0M1R*!mNkW%54B>UM49Br&n25FcMxmesWTT1vEQ|unQywl}RyVh$ z5ClyG-c>geazbp`{v{6B-GLtCAygI9l=Gj1e%_r*^piA3>ms_EF+gEm3>O(x1uP<7 z-ppzUUA7_CV79$DcA7b$o8qykZWsVYax&jflfe28E`v0VI@9@DcZnY8Uax`%=9pYB zEe@?MyAxek^F0Y@aixF?!dRrWA!Wu6M;3#LLnNm)saW}AKjD;e8DZ0I>jx?z3Ti(Zh8Bba6Z%JVdcywj&L=zwGHc#AM%A zFTVQEe;<>AkJb`jfr?`Ts4+{bRbl=2pMC2sb3YV~oH6-^Mq+_wwsUyL6lI)%KT8~k ztA*Nm(M%jBM}vVwUWDz;VhF64F_uuBwJm6MzA{&EJ*NEf(uuQRL^nPOiU2{t)MoK zrQ*(c}NyPXI z2EtZr889A3MNV-?)tws)W?SS<|BbWo1R9#sqpL{aoN*sKukWx?LYRyZh%#6KK&fC-asM8`~48F#T2#bpNtn=yMq+>jl9Z0vkxK&^17zQ*R8j+jw z<-vrZ6t{{hMUY@DzI=C2pTsH~eUdyV+s}I8jP@apLN}c47sC#T+tDP|;HhAPGKHHC z)`9h9T&#;-*;LqQ7J02x#e9LCo*~9$7qIV5#HVqabmR31(afY zq+R5;C}s`e#us(IEBGi@O!wlZfxV3OD5{!MZf0aFkS%VSZ{NYC|1=~!3)|8XdC=eQ z_2rkrJPa|M7WbC{Eto6`d#<(L;EUS40?Cb5nmnCM~dsrlBjC#8@z}d51G+u@GE& z8#CnCcPVQ-A*2v_4>z{H7du^){)uSMk>DvLTjE@->Wfl^zqO*#k)HnDG`UZvFLhWP z1jwG57_Yi%9SFk0o@Q*S#zt4_VTNv_+vs8=g>?m_Cj|uR0{n9-fusl4kat2lP;Wb|OC!8P^4E{DNw42BY2_sdHVZYBxmK8M?^B)80sF zI4{tXSg;bcEOiTAb_h}SX=+EO^Ck39G&5c$myD+*7{!Dd-)^ZM;ncf$Pj8lO1NU@s zY5JnQ(S#h1)HwS6jMqXPgY~8%(h^E=cPsU?WzH40NYCbA1i7?m< zHZYt6%`G8Tjza!>e_DTtg3%W7Yq(nzh(OihU5!4)nw@a2P?ciFlFpv;ZKc6*<~Qsm zh5BhoN*-=&#xQW`tsC^uhTxg@teBUwM`AJ7sA5fr3Mq>4PuQKeRlPwG_z_Cy3^Snr z>9Eb`b2a7me_Atof0+kB!Z6fO!<*@Wfcw)bU*M0nF-FX#zt9zgCW5#d!--r>1YeDC zdiZ`=c9)Bly!8FBc1v8j#5SKhuShz~l{Y&gRbT$~azSQHrpG;%xp8q9^Y%?%OI#{8 zyY-489F~11KsC5MT_Rq$-;s0k8nqsjN=Og1R00&{<%FoUjD)6?hYKCZ znCAi#bu*ZkugG#C_tW95&WS+Iw=~>HH^+5_iyAJz_+S18f)}`0+zB={cOw~DEVbop zjq5;+Kqts86*v8LDI6x-8Dn5xe|C%~dDrB!9Cq0oOzo*xZkPAu#ST~RN#}4+UjN6b zH#+7;cj$6n5cJBqtxFml_~$u#z>Xm)Q|Jj6SzVnHGpE$8p>_McD}`3TAoI*{Vq#zZ z91f!S+*bIg&)I@hhl^>!*T?n*Gblo7;zahw4XlW<6#E-{QB?J!P!vGphqHZs>D>|F z#zXPG6)}Qh&zl#I^dDBb7YwC)mT<2_^=AM*X5V!+(FpvizCpHid525?q8J=dqsAvz z6gv@=xN5uRIZrdyLYVvPRl(SWH?N?JQ~eEU(eOXC=izhf$hL9P^O5zboy{bjoqS z29E!J&dz7GSfT9hsjnBF4I3LVGS}$dykFW+Y}JB>-T2zmtpmw(M?DcU0vGD|X(9d( zSBN+2ri7uk(AMYGQ#5#g|2)#T!*(uf=9KZU(8-sDpeO05Z&#za)Q|TFuumoUE+bl@ zb?dCznq^Bn*rkPUBn;=B7cndq3O0KwXa5MMz_{tJ+eaq0ax@AV15lwv69nU+oA#xu z8LYwKEb)D-{PDjt=zzg(!|P+!B@{F>KeYBP+y!yQ3P6Y}bJ(rAwtcX_t9qQ3moh;Mb1@=XA; z&R~gI5`yV*+1bUS8Sq_Ct2V~gjWR8kv}|3m=@1$s;|oKUTlW6x#Rft|S!7u}>I-k-b-Gq9FzP35G z(m}b=2oEE;e{RL6-;grCTopnFXz0sNM%VW}on48%qqRlG#0w+;atnFkUM%q9v^ts0 zyJFY$to3n1dSy0&PjQ2b`WR{BRygYiP#b4mJ8BoF?S(0oo;BB{Wy{y%y}=Updam>& z9qbw><B&xcE8Oev38;t^K5DA~c${t=!`3IKJEiYuj(YA`lh3~OmI6KX*iIFu zbIu5Qh8_GAPMJOKEVM(HGiz0DO1pmXwQ{w3@$GG~6$ce+%kS}VVp`0K#-VcX#7~}h z@l_h&9JCC)Tg4}|ZBsd1#e5n=!k>h?d==w{6Ija;v+#SBt^&UL3@N10nCwB2nJX9uV93LbrHF^y* zkPUl6XF9>mlX_QB!0MV2JcD#l@wR;1SQh1M&WD)Onh%mD7LAX)LLjKgflDGWq$2}L zwZ-8d({ZREmwCB?B5nzip&FLUx^k{DZSt)c%(bTj$PR3o9Z=+OSNVaqWk_?UWG9^RS)n573QLjY;2^WGxXu zViIxEnoth=n>ra3OIne=&}tEL8NSn~>`Qq(r$IT`HRe!y#WrY=FxKVa?ykHzu-PDw zXMOu8&I8raM3PsVNOYcDhXuN(xHmLCb)U4+s+&rPz-^7=XBb<)UB39L-5e&Eix_FX zwO3SoUVM{!&v}^WlQvG&JnK*M!C#P8G5D2+acm7`onHtMebUB=%Az&fDnm}2Vq-TI zpM)u4S4;^6cU?6vKEi&qZSdJ9_ywUv&tnvyv_Xmzao314{OW}?3L^4LKNbYHVl!$oLf3icYo}P8HVg~zhoRQjWVR2A03U|W{0yI z*$EbkD&PxzRn*mMHI1VeYlQDa04mtB8+mVVn;O#sDb|Ok7kmRtXn+MpmGOA+~AWgaInHACAUaw>?nGZ%ktq` zBuIa$_mcB)!6$9J;FRP?`tWc5SRY<|qrurK=L*)qGQSY3_oNNh%jLmVfu(h)K5UqI z!w0f;{yP22c)TZVK%R6J3y?#L)xnE!6%x~BL#&4qxvCw)X6!EX1}fz!1){rEcl z#QCSub;v@G5vY_iInI}=^b)w*$qAfWkdXx%9k(nj(HZfUsoFb=3v4f{O>v>NoS>;p z&{@T`DfdQ>X})3jg*^1n$`}7c_Kt@;+~Yh=%{;XkjeDC-JpD-Xx%OZaq4F@-mw=YzM8;Gr-jUNy3sLo1+#EYk}(?fYH`>vOmJQ&%5<qMnW^Q^I5qd-S9S zpbK7gAboz?iSeC8VE1+VDk$cxN~-1O@|b~!p*CvO>)RDLDREu)GQHPF%(f$8{+1QS zl&(TYd$G(Dk2P<0q|&G3sPR zw71vAO@UK>HqJX9G73mzVOhz#+%dIb`i|t~Oy-ULc|QCP&sl+}WQa&7IHB2HM&CGk zNR;Gxcc1i^ufxv>h*nhoBPOQS1W(Ehb|Fvd)vkSA&xrv4Xtl9@n|=k`hV+AvkbwJ_ zt>0S=qJWZ~L$$&!Ao3$Gbv;_wlZfVBHwY~sCu@1j5H_5I3}(opD99owh`r2p=q7Kx zmgx@zJv~grC=Rf+pz8!FJ|+yXy%nlT&rQ5Ez{>FBfWPr=Y80#J#YyavWg$dmVkDr+ z52IDmNz-$^ETCO1@KXHBU>w&y0M*&60 zQB3g0FtRe|I^Qw;%}+8dHb{~zWH?x6{h#zrt}8*TG!4ufT)Z1w2pQhie@=ez^atFB zD!$R+UJ^y<0kr2TdmGJnQFYhB<@{{|o$Yx!!a6@}CTJkqhrV^9tMF~K(DQN2mFPO< zp2>+4jJ!U7_M*(?qagmaaK=rFDG_Uhjc&cl5*Vec`bhToy@eV=mh z^Uzlqot;qt#Ulv?1aDj0>L!;MN>(sM^%z8n!UF!4ye;%Tllri2ZgrFK_&o{h z8ecLQjgp26R1XzqzIQUK*w*Fe4@$#Pt!L$hw)tHhyyTK$?_`>KIDDs5ddBZ*B749} z=MAhr5oVCk%S{e@8qATY;2#j$8Y8{Lsf4&AUt#f`SxGO9VnTM6Z6i7fm$-jo3Ot|I zo&<@Mk{lbaqC%AQ4O@RcQAeqx%cj%|4RMFrQtSWztf4HLGFYcn;shwQLjs}pk&@OT zHgQg!xFk{7**CsY3z15uu7Cz&2N+AaUz$lk$hd zc4|vR4kLdID6dR3ll78p73QDhg)r98>Aq13Cna8xr(8c5OVU{2(}thba$JTUy6s0L z_7PlQ+&SiJ?D<$U65eZ4w%_r#xm7;k`Pyl}HUHWQ99&LS-o@I=%jQXC&g#ledvDNf z=e3Q_YO9gdm+Luh!=>6rmuoB0nP=5`kMx7x`H;&A-YQbWy4X zIAhMY?Hsdsy=DRZv`f#D#1f14dg3pO{SSW_01a^~A{v9UWUP3LKRt#?z>Yu0vKS^6 zoP@(xP;=;*XaxE#gCH%>Psj576M4gw_lV<}ccd%-Ubu;P2;81jl8_Oi3fcYlHtB}D zJI#(Z^ULyaKy5bIWo`9q!_}|4Ew&d*7*_j2j(fz%f=z=Hb$iyi-brT+65b z8hYGVf$|<^nM4Fag<5dl8oZb(<2?m(u%-&XMAsSidMK9US|eH6mQXS`)qeZpL*0uZ zATa;R3MVCU&sNGq0h8jksCP)v-n^!y3!?DF4CEO*{Gy|T_9NP@@!MI#hf>ZoBvP*WnL7Y)y?;QZBG(G$X}7j56Kwea+pjszTY<`h1S3P%+S56gGw=*(L@{q zjFVOSV`IM7?TbN&jq#`&2ktWji9R8Wnd4=yW;|uxFqYFHUkEOiz6rTbFzgY6(n@PSt zZak~5S_za&S`8#e6#Fr)4$R?UlVjXEjzrFu^}fqMu(3!T2yib(76!IUETz92egA_6mbSRB;b12qWD}u9QCi<${(06uHsi6{cn|tc?IHdwU`c4+jtegv} z(_RiVLvgobz*J0>8c(K2Bo;k|8fNRZ*kxRC-j+ZMJ9E+q3&3n8UKF9hkt3#Sq9v6? z)h4WNv33OitIdZLw5oN6t2St)yV3Hr`Rm9N$O+N0LjQ7(N_bglwb6IjE4{&@T zwQO+0Y^TfW#t|U6HV@`M&KAc&R`8{6hRNW^l9LssJ&Ivyx8-6XNKV5Nh0Q^r0@sz= z>69x0Yu9OsG3B|JXAEIT`+fyg5i1cw4%S%cUGqks7K`yvVCiw$n7WF-*~pHk zED45>WT}ydqny%8eE#>0qXm?No?hX)%0GV~KrbJ_%I&hkK9$6M8_^ieyUOqK)sk_O zW-M4JPV=V%#X&WR;Ka3daXc*C2~>zA#uVHM8k z?$LdFjj?B_oqn`i*vxz<;hHzZt|Q!oe6-lHJb_zWjxE)W{y)Wm;a6mjETm;W>r7vK zNW%)P&&`C~+jT|aWpYezrYi!3C^I*<_EMNbw}t+yG#AjjNrSmB=J}RJAFI7xO)K6a zJD|0bdMHagk*-u9Z>^x4=>m5@EP|u8Db@fBbk9ZgqUI10uNHDq>I0dGF$8?MIEqPU(b{A5x(GCoA|%v0%oI{ zazUpM>sD}V@L6ltL-I&Q(oS8McC|INX$O{oxnde~1co6m8ILZ^sN7nx*IG}1%$(hI zDSWXx6+T{Ph(=-up8UzEU)y7(G*LumP;uqY{qj&Z(5&Udye{of{=`uWrS#C)_%BZH z?c~L`rz`uXY}#_0{D`rOU3WUQ*VEcqR?U$H$u#~lO4fJZ@uI6BqOe43INCc7nJX=PEU8~IP! zW(c6NtVR`W4tIxDc~4D~t00z|w&k;?*;N`#O`+&^UxrtyFJC4>_a$LTTx}>+h_s~^eMg~@l4;F(jDl{zKi+LoywPP z()YW2c^a(=1WY5M7~T-$FcgXqV#4KcQy61t00qzK&ALr14!H0Wqk z$2jgP9%9yLYr;r+-xBOe0;;T}_wpOY9P;9-^}Bzyc<&I^1~VH=A!+BA$C>CSQo$hV zDj0FJbtbs!pn_ST74)>${cu3Llz^#Xy%9j8SuWv~ouNuA2ThPO^O$e)%(wUaHnBMT7m!|)*jpmq5Y5ZoR{U{_IN1yI^P;^Wt=9cd09Xk zznGu;mBbOKI!8e+1{gYUWAk;*JOWbpD{=q2rxIe7%h&k?!)-~REp7=5s=&d0O%1fH z&{?7Q!*q2V=kwhAGRAEsyNo!;m(tQ|D>sGk{#uH;BFkbTph<5HGT)+?yzpYN!Z>1b zwy_)*aSD*_xZ*YHo-w5ls60AQt)Rj{^{aarH+L~yA@3bqGbE8C9-{P6ux3S})`+uw zT_3rc%Wr`*#msMAAL!VQL1ipw;J$hid#xC#x_4MM)_?Jtx8CYZY_h6m4$+#{xM?{& z(@9{xDd{y-?pm{({zJL#pZNm%JaX*#jJ%cm!=tw!^Cf*r05`dc^TvTIQ;6#zJ?bKy zIB~DZD}-F1&P#CPRQku3ofl;0-Ew%+;+Vb`>(}o zrQKdQ#4zA#vMeOTsgq(4&8$la7$JiSr#|Z;@2J~_FemEeo!57dQPQ#RWH>O>PU&RG z!K_*|B1o$h$4=rpS$O4V*1RUc8vPUd-xCkzIB9$pW$F!Lceev6PJ72oQ7HN*4RAhL znE0!5P5-36m`KbgafE}*TIRRBSZ;>`0@~GLCk}CNNPYDRG!PM@rjdgKHVCY#A|eic zzVpeSeEKt={=C!R!cy#cZB#hB4K9<&kugWDe5^#+!O^rXc*yQ6Vk3R}?2|wK z!e}G#31uJW7tv-DQ(fBwPgsspBiuFoV+BFfmZX6NtEmYu-Klu~;)Ayw- z|Mb&e`s9zs0nenuc&}2yY3ePMHMph2~6oVlS_i;Wy>hs-HNA5{2wvYs@ zKzk+R;9^l$#^e|WZ4RA#j0`U4bP=!SSgre(FTo3S%KeW&LUbdYx5nXEukdu+;wuEB z7oFxnm&JucXN|qxtm*CUn17}MhE(9{Y$RtAwJDwB1_bf5Nl=NQd;qf4qPmFD>t#29IZI-Ew%*c38%&PAVDx%pF;W3el1mgtCeVwIVmw6G#pn8fXb`n>T`XO}6bBu0lpkq`>F45~5(;OeGeEUZgEa ziZT51<;XW--H&!PNg@R09SQZ5Grc2YX-mg|dl+MQ#dDvA#d=mcNe$THcJy zNK9*66yRxfS`2O?CAImfX+S80LO+0pK*M5L&e1+%AeXaRkd_--qoJ}PC85Nj_zY-c ztp6MbyGXYm5xlN>?A+wjTtgzc8L~09;!a`{oJufWEw8!~iP(N4iXDUGAOZxUT9;9|b6o~@6B z-Gex^1s1$T%3~Xq!$$ITsj{}jo3e(+Q|3Yqu4dr5Jvr9G9m4nRal)QwNQ92Mjh?-+H`A>|hn;qr!I^@>Q1fYjZ|@iwIiD+QiiQAqCdr`sgv(UZ z6kmau(RiQqjp(5OyCPak@`Rh^cG0(^PurFC_uk-+Z_u$X-SIV$ZkqEA^u;%~xK`*Z zXn#G|i#CZy4%n};1)&GgLP_?R@#iEcoaUR!kq^=1`<1z7^A1U5g4B^9?kSc`vETRi zP)sqojYs#~?ON(2=;?V`TJqM}X7Zv}-06f)(cHVoE@_4XTvSP3LGHO&inoLBOe*Y! z#>gNLK_*(eppJ3xaslkN3urrEG>6Xt#DQ>aQ;6%V%om=w!ATiOPUNBsL&UjvS3eh2Ptos$SXyg-0a<| ztu)QdeaR8>Mv3MP;|nGCd2xU9aS!gxjgi;OG;f4cc~{n#@+CyK8+Me>`kH*$FVE{c ztMlow%)YH5>l>Q-CiFrVcx=+l_x+1wVneG-mn&i}c9Z1FoU>wZ%?aZ{6aeK?RvURKwIbRSxx5Jju+@{KeX+nP~&P2iH43&2WL^v;8@KspnIDdt{pwDsDZEe8|Bh`+VJlA!T*Rp)?bN#BqkuyIlYD_20db59iNof>wBn;m z6g#n(F`PLh5nmiK)x4-T0;b=QCrNxxA&$V3kM_EdB&2@GP~{{FEu+kH!WGVDN?g}X z*=BHKY~is_duWVPANzAA6Kz}JjN4S=Uxe!K%7P&tQ4)Gika~17rl)b@CzgQBBQe4E z`O+{iYuaV)w(*{urU~jquW2vLa8b)VtD`8&>Hfz{;aaw1-i_9|>4hl3X%V?e%FtmP zpdpR`u?e=YHDY6M1YM^VlZ9l9LoBC&`zZhL(ILAb8DOn%Dsdu>OnTA zzXqcg?=MUb2I>@VCV}QnjQ*BH1w1^-F;e7f2<)qznnz^+HDwzufCq3J*23v>bfy#0 z4ZPNbPdMX>p+4{6ezqlS2IQ%8-vrCGs81yhf8#@tvd$Z^#&#dPhS=7hxsc}8cLXA{ z3ogv2D6j@@XM*}5x6LHb>Jss{+}=rWwuy44ZNfpg0)COwj++w9IxpquLD!0BKHt>EVpH*kh&guFTqg;z$M|#`hAkdplvwuvz_yR8*eR9Qp1Nr&wrlV6h{~8Q5W5 z#0mB{?1gkuhp>_l`UP7bCk#!AEni>tO%Opz&mHtjfPuESDdK1BoQsO*e!w?YhRHxG9}Kr7?!=`IHMUrgpBc~&A9IvU>uhnNCz%9-I3c-OJxo6O z1_a~=Bssbtgn^TK7UL^0*z3Hax*D<4sTKGV39-v}hn&i`p}yk!qmO|{jzBNu+TKhm zK@3Ty{{s>LdQmWfItkF3VM>ZWFJhb#P8gzoBu*BSy^rn)lLK}Dk z`BT+kI2F;ejX#Hkly{2x^ zHQ_=r42Z*)btdvPzqjb1-V`N4k#^M$N~&=(UMvZx^%jjillYq7cYa2gAVQ4z$j+sx z+o?E=0AWC$zv@#VqnU8+O|3SXu%JD5BRt?7P)*;x8F~^31VzcffeCV)L=qr*bF*rb zYfF$Cn`B_oN!unXq|*387cg?0!*VUrRI-oF2-L;V;XQ;Aj)RnajZ>+xXVHL;1%~5v zGO5eEaxm`(^_9o#E;Xrew#0^552xv{J6w&wvf3cW%EoCurSJw<=do~kOvdK<|3YID z)kytO=peZzBK+h4wUFRptw)ROLQ7m^i(N%1F`9nqM#;>$>}}XZI4)<$Ew+y%HPS2B zo)-m9urMLHJ2osH%gb^nWK{3kZ5Z6U_Wr4E557dJ^7WG_Yz@XApX&{=mZ|Nz&>Qyo zB)?FGKzNU#+IiD@Mc6Ley$-AY5*iLxuO456hnZKXpO z{@&y(n(u-sjtM!rDH7k~Y+7LVR623HELkr;b((MbN)$PXOrRiKd8VadkT{36@&hdM zJ@x~0@sp>ihdMZpGQOT4pa!hasTd!5ry(ebp#3yWUoL)HK{0UKVx{q9ao)DkC48q~ z@Uc-e-?asmB=sI1W2!~^(u#{bwt;F&@Ec))#v%*4@eIO<7btArWbkh16a#`W4H)P9 zE{IieYymO#kO=11p|Hd2Q1T;gSfG!Bq>!K>KFeXLQX;)NLvg{<9eVkT8 z&ExRx)(xHytSFXI=|TKL0iRxq;!ziO>+Bh;li_Zf6N2x_(6ueDa=AxqOd!Z!f zC_hXF1x4x^FEPae{5LEG+S90%QBo;_ZP7y;8rNMVFT-{a4hoRaWvRj~PAVLQ!y>x) zbi)ak@^Q78mihYeNy%dwCtwC$VM!a~wGoi#lh%ayf;wD7%x-B<>*|)llG3siqc42& zGt4j3GCv)(EM-h?O~qnMzux*}gia>GIIR?s#&6ram>8BC7T^uLE>k!fa>Ei*>$HT_ z?b@@)E_YCuiUS$Jh<@bU)FF?++`16Hf|YH1xRmQv?f> zN^v3lw{7)%;I=02%OZL>^~k=N>CJKAKf*vr}vVvh*0j>%dgLx&MA^FL6kc>+jCDk1P!(ieW zxxM1dk_}-r3{f{3CVHZ+$L&enlO5qCwSntsyRCoF)*1|pie)_zG8I{?lWsdHW|&fo z;G{NzmJCcg>Yg){kK59^to9oEcrxzk$)xHN>WE-f>UKJZ!cx%wFw;rv`NJYohg5ww zEtSWIOX$`-9KUayZ2A5dK~?NiL28IKfo3vbQ`)t4ySYay##lxyz4Bl*cG z{>nJ9f~~Me7`8U=mvuN?2)<{SET&tW!>{O#VM-B|V8#%R9-0T=CH2(xN9U{00C{nZ zVi~-rTXvNT^EOIbIbLsJr-f^2y)+~s%OP5j(cs+aIN9~Po{P;YEG(x!43Oy ziKlzVS#l}s!a)0>R%tUODAB`b`XHfhY}k;tMY$$m_S&HB_};MIk)W#H=IiD}^ywIM z$#fP$@bQMBE;b2Li*2tkjKnAE0=Ubco{m6z{|NBawJwf?+H1PmBy#9zqn$roSAMEN zM+H5VJ8IeCd^*ufPE&VE1A{+!=&f?P38>mIYEPzJyw2zOdRm<9b>W4$lA z+@QG)Cxlk*iU$y#sp{j_%QLw(b5mJ+AA@g==?pZIc~e- zOGKAWYaVIuVB+KWDk=q=l!}L=zQJirKO6&5@t~5`r_%u-uy5Bn63}v+o86PaoNrtI zB|{wO+^aM+je;`C1zvnJZ83-tmn_4Lx^dQ<#@6)w3*T6wVB!%{$)jO3^I9xL10hVu z`#@;f0{pd8$8Vu58|F-y6E~U9HMhKH;cTq=0?5ol7#Co%o6O>r=vl5HW+C^U;R%_S zoD>_-M$DWz6a2a3#X*t?!Bm^k-wQ?#isk#rX?7ZCC43-t0_F~-(tct;BA){Z!ZP#C zNz)b$+#iI00HL}qQ+A6B4Mv1&WJtv_<26X zWu}}`*PfQ@U3l2$+mdAMkDXO>OLZaOOInlPia|-@2&7gr%(!FDu1o0JWH6XjHsEp^kF_FlO4K`Ue(L|(1?x5yyo>HeTK@;glv{ZpnjH#2 zRIKb~b6i!olube=1?#mR<@IKg*N>g)ob*^rqSWQ``n+~L0qUCwR{lt;_#@N&Q}bHD zVC72^4+Ie7gv(ezgZ{P= z;6v<*cC)H#KD7`9({n!lu!Me6u1K*`AS2GcX}S(Z?bp{hE(PcDq~EvAlRCedURt>S{%3y(1+Q9`l}(zAHF=Yq@)wNa-1l!*HxIo2z{QlJ@5w22diZjjK}I-xY!b$*nGqb1M!o7UD62%f%_ zkhT%#EsFhw!3-zOaL={p(;O!^Fp*6hG65VXMt> z5R_C4@|^2Vt!b1F?xdj8`^9N;a}S^jhK&yTX?>W@%%zOlmzEP78sa_C1|IIDK|*sA zrfhNW$0V>f3^_7)`=Bo%#eR5Xcs!N=6Xh;EnN7o##=vIG%fh5%Wu$6K!`wiu=2p4P_UYgDEJP80HTO_wP< z%xnS0kcSogK*7|NXnP@$l=y1#sFR$z9K!;rYk5%=89-K+*>iBGIN=DiM}i0`Ra`+> z1(teCq83Mq*=a_#*HyLa>+^2=th`$vHaxvrNtTz!-k^=c@>1yI^v)0_DnT@r$TbCl zPTRv)pN_hcFx83!vDc@$ATrbQk6_x8*z(;dkkaB&kG_lIG6`4_H?}F`qI;1ZVI2tJ zAWlo#aRf#a-t~9w+asTW7nXQK{A&KQwW4w8Uo991KiMr5 zsNmmDXDu8yqv3+oi9B0el72H#KQ^&wdT91IYH4<-VMXRUzC^31V7*Foe4@(3`y!${A z+v9G+2;b!a(_1t7Hp3N&{wUrCVQflpEu1143h0HSkl;a{L|qQBNrW04U?t9BMkYEE zMNLQY^?xpdyaFcnNzB98W$hF8U?53|HR1#r?v+SI8tQ{+8wU~s4wJ@?1ouZi;YKMB z!ZnE5v~f)y#rp8#549ey&A1M_bFmmyI3RYZst_nfeWq7r z;t>a-Ltbt^aFE%WZz9wAASo+Be=7DzlsUrkjAccSMW}F+P_{pI0R6K#&e(4R0Xyjf z%ehs*_&QH6LJQqOULAAVTqJI=@!fS8l?RUM&QPKs3-*EF-4MdpP>7|LjNKdaIb}BG>!7oOuQ| zo$t-r*cd^!dS<+^F>O0Y6w?36V!zP zGKPSlH+h{eF&8kdWo_phVz1}3QgAl4I+1~nPo#hr`uvBf*0wm@<)TC2Vn9bzjGk1c z6qt9SuBs2nq*xs6vf=`K(5IaKt&6#}b^mGNI^sJzoz?fDN>Xu*?C{-$5D3?HB7NL)3cs?CUqo~O^N;iT>b~7bt&L00E{Hf^Hdh69ZbO;vBzY>3H z`w>Cf9$VPgW>ASrgQ1%9vhT%i5V=-Bi}rFo{waw)7l*!257t?J@>7-tBw$2GFZ0^` zI9)F3BECB?{@sn-fCP&>k}=ff(WD_2;*!WBNtBW^Q9loVN~18%NQiiyqb(=dvJ_i( zl%R)sM{lO>4@uyAi6t(u_7ms6f4zV)(4qB>5mSLi)CiFh!)RK6TKT&!Cfp3nC;BZm zf(@@GTe~MIFi~VyM>2^cBNjA#JJS=*wI5Y`jMc5!FzT{Ojoee<|#QRc7^pywNLu*LND{HQ5D|BmVnFV{>7iw ztLl5dwLaL7!b{yQ;EdM)!@C6|i7W9TlK3+LoBt_2Zelx!4+zZ<6TdPi>#Hob-0x2v@?1QGI@^L>!c(GnihfyC+dKSuhdEm|E3E8l#)VehRL%{xuj51_V^yCf zLGcdxFo*1jZ1@Q)drx$x&kK9*ZIcNnz1nPX0xNceDM+YZ@a1X6|O}%O4iO{ z&e+o_^r-p%nA0|lW-V8YrDKJ1851c0DN)ApfPGi|SJ5*!&I0=>Bcf(B$?RTy#94pC zI}Ywp^L$mT*@UA_hmu8gbf!3E7WrK@t0qT6sISPTtu2w%T~j6%U-MVhnn5Uxj--cc z#pSK8luO*wi!H8I$GonHSwzh8_U|?N%9v^>8DDpD)&5n{g=t$>`#onBvCPpYjBv%x z*(h`?;#cp5EyG2laWyC6HzwvD7gea3ceIc|(hWyOyDvYo`*<*Fi%v3iorlh?_G|{K z+|bJxW51-1ZS87~yMW)5atI^4Ivgj*20g9CR8xknKsFO-qqaH8wGWQO9nk7dTT4yS zB*APEwu^?&_6)PY{MgcDcf_o*K8AMC95x$tD?P8&s)ysK*i6Va%m?ji4F$pRh=(tM z(T>lMbNLgOJws7$dl61;`A<&_WIlFqKJvMk5s00UnzQ_X!7+|wf>%FcXF_TQx}R>KH_hSp;w$ro{V*AOFK=U0pgp)MvZ;5Ov-q2ZENt$yCH7+i)& zt&L9OfUS7+JJC!dZnn5z`tGnQ#5*0;H8qApEFJ8j#8etL_h)c_WMK6PNs^GfKC-bz zJ$Cjt?fZmzJ*KK+a}&o7ZKA3NZOq2-VRo4D#L7$zaXy*i^z!wIP9I_c6hZD(ubjG*TMka3|b#2RwePT$IE=mnrsT~K^IggJwka=tC^*=O3OMPO@pmJK` z4C-Wur?RtCA|iiOTj>K{|HX8XLu1C)wkdGfn?CI(Na9RObmo?DJH%VYRkp9D=}=dz zDaZ5Ww#R2}4^At1(sWb7@P3)esm#DVV>ud+k$7l$YP=14482xh+6wIEaLj0No?HxJ znpUUse9?o{s_iH<1vTSVUUnvrR;h=FJPj$u{zosL{lk~f{_^GXpL_Z2mtQ{r<(JQX@8z=(Uq1V% zf=$sZNgaKxaMo?NM8Ct`7>DkvB=0?L)ErHV@7B;(7XoTXD-l8ZZmH&NNRhs9UOxN6 z_y6q6|LWUcU|Aph>G%KgAH9733ooBPfBEe9oeDY&4pNca9EjfnMQ&6=NS^sXP7`}y zk)pJ^B@77$5{L53XV0Ytzx9J({gz1m`Ipar-eJY}IUi_?`T&K|+2^YqttgwrqJ+#K zlE~<59=5r?E@k}Zxda+HQnR1={vZ4j1pm#mue^NrC1>;T7g3(pbN}%dSBF!9o-0w+ z7;Vy0y?p-9(9V}1d{O@Un?i-c?{_6sho*9ZCyZ`&VrR10*iTv@72Yav3KiH_`2BnK z_rLQ8FQ0$mZ=U_~|M6%4z?qcSWwBvnpiK!9p}lWD{ynD@CUU;`F--M|aC{{WNt6qH zt3Yjj`{f7Uc=^Gfz5L*ttPnn8*q?t5A2CZl{vvM3i-Nd)${J=@_B#!^u5TF8{UmfP znuZsJQvW&3`@shbUxgY%W zZ#l;bGtF7ypUQ?FEt8Ht6j)+r-|OX!9VC20e6L1Pxjn0SpZfmSejC&1`~USn{{EM~ z`tsR#{_6eT!R*-xI(1o>iv#TARz~H+x0`5{N>WPYQaO{@^b^KdN#}~AtmI2u&#E6pfKne!b-jW8!w;z^!I=EyRxvqCja{jspjuESWM)H+Hxix z@IPEaihXe=pQLI8IOTd{*cVH4@ zJzPehfr{*A(sdg?P)x*`E@Nk3@xWNd` zINLsy75TF-pUc$P6i{<8)6N%xXX#r=@pKB+Qb=H5KKnW+#PetPFILA2Tl=cKkTtU; zkhdMTUA1@q=2tP7z9JLg3(m5f@#>GPAAj)<`x||oWZUFKk0dk62sb+kdcsu4{cUD; ztiSo~uXBcT#J?#^=OZ2TZkKw(Te_@5PMCRx0Uz&FC?n-@>=Sf(Q4XP`UVeas==a;r z>f5rq6DUCxZyX>Uw`-;-~YxhN(X#{d*Smx zVPqeUFSeH{a4jxZTP;bL40(=+a%adT z`F7_sfyPciS((p^;|X|LpK4M~IHtShJxK%@WXdqN8$wd|$XSUiPn!FP9w{yK+*m~7 zIRz7-j0uUqWN{%1K!jiLFQ#9cgkkhmJDrw=tez2sF9U%(yext4wPc0hQiaaOgu`8}I;@Cee&xCy zL~4S|Rf7qvCPtjYe9$6?CPD0RJ1Uu8Ua}2xYZ@3(g&da=oRR7pjS}ukCibqfs1r_z zoq_Pgxyc(`QA(t4=p%esYYxB9ffF|;Uv!C84J0Zm}#U9m2pc2rVQI?Unei@PGa3mb0R7G&Mul{e%h%1_#qBque*?l~*T9J>_m zQNB(dX3}kLJSgovpYN>rzC?E_VzciXD5Z^XMIdX|_jr<><_uV3xv!--I$G?@nf7Gd z_oRE8i(vM5c{>?qeLwR0(haXW>XiTMUjt^70mwuJV2s`f#xmB(WkPC@1(jHqLcTc7 z*VFu_n36I39Hufekd~f6T0Q`NnM4Yal^7sS{l~y^628(^T+hI>?%8(*8%mOg`cG;g zGKqQVTCy9=^YyH93@bD1r^RJj9H#PFj+6aEVj+i#lwwUgSuv0F^^?Aj2J_rtfH5Ck zRuX3)r>{aMjYqg)sX^q#R+D5_BZ!>qBheJ6)xK>?G)nZZXya5ijuzK!Nj4+$XBIMV z#ffSwfo+Ul*02fR+3ar&03mkr?M-=2GZrIgspRL!L$k!x*xIY*fj*46f&}4`^gupt z3-w`5jS?!4W(Xh35Oguz$6{$RM6bxuEDux=pwFO+<*I{x5+n@;kiv#{zYNlX=ZB5( zOqTlrK}GUVCe{>tgx%0LO-CNP-orJ;)d-tg--C)y$zAWEY&XzUpx4lA{N!M@{>6{K z^;R{Xm&6lr_H&QU87RXT7{<1UysT{nSydpI$2|t?q$s9K4ImX&bkFmbd@_f6%Bb+Y zII?0Opm4k+u?FRykM?_cp1LDKH=i$vMbCRbg_J@oH^vtY@6Bz|xr-rwJH8Fi8O>sE zUVMEku`TZu+s_|f{I0}ZiC|vGbK3Zc&fePvrGQt-z@WyGYQnd>f;3+1d^36RQA6K$ z>hE^N(CfOmtpwC6J8Q$G%shrNG_Tw;B#Cd@vv;a3ejwcr_ia+6@sWWJqFo|d!N=9V zC}7Yc9zXaWW0h~{q`S`P0$P6lP&o9G5*?jiOh*QFk=^BacaZDv^L+8eSh=4S;=x)# zD#q}|NBAFKy@;j4C;qMZy=8jBws;gzkL_$(EwCU)zDp6gK??CGMzWiH{o*4c3{0Sf zGpNNlDN%4IZ&ON}WT4z@*Dj1~DXgOgUmD$oIAePBc!Ei1H=0bu*W>;{ z4`jlE95BFBW#kfG0CDA+tPjORSY_Aws^G$YlTq-+166F$Q$l||u)H+|CdQi;5YYT^ zQ)0SsrjkmA=t?-d*F@rF_bkQc9V*JvAY6?fkrwD*d0e0145IXBE25@ zYWODdBVOsr9&)J7%F<&)WD6U3hX%Wo3ug94Lu>u0psbX0r${09q%WLadR5Hc37i%Un1fEvTd}=eTi;CFn zZ6#AXl}xUL%892q%~$>B{%;Etp5T8D*-o^6ZBt_WpP`5K+^#584>v%ERq%XGFChx_ zI}U~wwTqT7Cd;h)FvH!4jrBauWWmR7~AovGg#VioMU^@ zGsIZrrPp2wZ7&>WG=PAvyk@6exi?sdAO8hsBeW_nkXlCUI|jrUm+!V`+dOwz($@_u zYigO<*@Lz8`$=uxp-YOp8G6MdqqOET6P~(e|EVqR-}=m3Z^;9UcxrWj*=nF;2(SLq z{bhcEPDQG=y1G?Ib8B8zdz@)GX^qHH{>TfX$4*Bjnvux)QB40f6LBM?1xl(0&8l@y z3{z`f?(gaf+h%Zuu6~sHkDZnf6jEaQQQ|%pfZyhpw@TbC3LGCQE;$#cH_4v$)Jw0h zP9J%G@Yw0-WWD4nrpsaa*x^~G(){#X+CYwf1u;qT*y*`qQR5UfjvqUl>4F#Sv;3zV ztZ0#seu?RO*b~8e-W3$tM=2d1>lvNL294y2279RLVqFkY zod<$;SbQ$)=I_!8mA*HDIEF}2WLaSq2vC796T^NKU~oy4ponK)MAk9fcOQ8eu3>bQ z@kLCDM=S0lyl+EzbRwL~Ee(y36X9Mb+`lM1$^1k^k$EYH@N^_xSd|#ZZiJi3t>W~% z3A(rV^i zwdoNFoby>_T8e9SDcqUj5F~CT1VCZX(T)bST|p4AhMPo^I9*a|B{N&6kZIXSQXq(# z4@fdJ9ec9isWY;ONyd33Tx2YHbF4`xPEOO4+W5Vg>|D%A1-sf@k`#23eE+;%@f-Az zj=o3=$JxTyuM=)45-{Ui|H+TN^%hMpWUSq2IGuXd%7dSfG?O@-JQ0K#YiPW&puF^I z;kqmimNe|-lqw0Bz|i@cL938LH<9FvQTb{DOq zwv=WPeDb0|KDvWSB~UlcN~YsBUu?JHRb@u=@o)&+WYkiLC>~Zqd&bk> z{3t!^ne4&N$BD=nh8^95yu@_A7ie2>0!!0e8Ad14pA%E2X}1nByL;IGA=EnikrIsH zOn-V|1TMB%A14J)U~ezkQ8M+kd7;iH({#_(N=EW23(qT+u~z5(zo_cjYjwX=rX4M2 z7gHBBE+^Ekh|I*)>IKngEd2OvLaVv7|CGYRCMaz%&KKgo0haM^#^SjRwF(A z{!+Pg2}UZNb#vjMq(OxRHP9BznG=|P%-n&zVZV8!VGZspsggIBZiY|!e4z~z%IZMp zNNkp@E)Nn}wUW=*?)yWek=N$V?Fnh=7Ff)zJ)`Wg01CNd8n_3>YZkS^#!$}J&Z?nL zEOACa*K2YtNE$sMXxVyuOL9vK zn++h|P=dyPAR|^oK4kbcUgtqugz=8P9m22mgt&ouL$anAx;Z_8a?Ekar$S9%tsQpb zT|@Tuz7f4Ay2-6x4A@;O0ad63JHwH-n(B{B2zXi7lV)Nc_WNG6p;H^lUFiJW-(8eS zFM=rv2KRE!?!igyYO4@^t>i&{&CmM;Y?0C`WEV|U6$oN74HG>uywUPg0m~X zZH8>nC&bGTFSf)zB+?8`O+~n%NIAZ-{)Zp`+rK`kzrBTNYU00~NhQ=yx41xvKd~3~ z=)HNp5)9oSd3^pQFFhLmA{1F{CoU-}PJ(c7+w?-BXGB!gyvRygtcy^e4;jzHYmd39 zoEPg~DmFMPHkBQM(NE3i4;(0S*NCG4g-53FHg1vhCt_!os5ehB^w8=Pp_dD1EF(d$ z^6Nsd8hHm%8Uq0UX-m#rpAZhF^|;a+D4>hsdMCttCFGjS`* zOC^06jWRll!y-`DsB#};pmBqyUJ*Sjv|h25#BIG8M8H$9+UM)k-_D0-^aLS83tU-OmPG0W0g%{3d4C5 zGcQhi7xUtz;pxS7_i$4)D|P#j<(9N$wAGw1#Y@f2&c{D|+y}Toy(k4?$n%M|6nmy{ zuMc1z8dfm%GTjJHmqT!=tG&|&p+1ED1UMgv`};*H_N>46*^7~3CKRkcr7X`GMt`+5 z!mE7SFc^lIP-K*wOAw5S{)s|2W~}(YBOq=wp2m2s?LhIWkSPtVphJ5K+8nzQiY0Ml zT7^Y&X;}#=TY}6Adq^+$fhx8EN+`{ZywHmJY)PB#BpzvPg0EsH@_d(=L4AN#n`LsC z&+~O90B21bt`#_8=A#>uzC~V}VI1^xOOP>w(V{U)8e3_v)Ffv)7NxvMt~HJc9T5AO zOW*K8SYVq8L$6S50z$ma`^vH7;t*xgEwJ+#@Ln-U0k--uPCYsW_PIK0=?g(Zro)NX z6QwS_GP<|ku9n@7Y~PfmMrqnmC7DSPJ-CBDo9Ev%Q0T>|n-XC{hmAf{H*Zfu;?~;r z0l|{8D6^WMXl<495~34H&kf5V z(LkUct%(DczqUmGjU@UfY|Ge3@rz=hZAY@^b&1u!K3cRBwA{z(-$J8&bLD$Tnt~1_ zuOn^TM=9}CbH1*ioyUCO#x|&>KWN-*XV+-Z)9n7x2Z?7GcNH76ciBSYwJd>Jyarav z6X{u6To>M1iw#Jl{13Y~k+1c8Q~BW=)xT~3Ys(+I9%T>A9?`V>j(wesK{rtb8F5D% z=Op*xN^q$=I!kX5i7Zd{`Fv_CHR+}4I*^B*k@m6jY+MB=#JQQzwOfbYD-Y%|z6m)p zHitWgKrw&x8u`6;MqbFDv`dUS)PvK~1 zEI1GEF-|^~&ygb`@nPhI@;P?I2ouGQFQ4)M)D@!0ajmM=o=+9$mR;LmDU9^!v%vIQ zRjZ(~G_5t@|D}aTcBAW*06`2xtqDWJvTS=w4dkUZ$nev&Gdp^Ac3H#5F)9T zh5~h?o`P1+sF($jA+bPhL}oUvtcvGuZui`C&;2{+ z-gCZ_5zQ?rdEYolV{uuNuQ*(|Axzf`1OnY8W;dGQ4M;RT>x&!@TJ=;-&v{HNlAsMX zDdJe6zla}r@l}#mHxaOfFPsB;K38OdVKdVPYOyt8HO@Cb3T-Z+&KHSogxj1`u02wDvRp zXRM#nwWR6hv3A5D6+zP=Czi1tOJ3mkG#w)+s4?nh2{c3 zVL7vQ?MBngF1%4a+>MMpYj!OU(hCOv$0*m(#i`f3 zJdEeG&2bciV-2_5S#(^A!vyxZy{cRN?ybS=XwTi4yC zNsWn64QEEYQfr#=35mWm3y5Y*>zNMvP)pdRqCvOBRrAA)Pj@gw!)5Mlzglsd!hp!PysSyJGt1{_w@?srx;3EK`@%H~E>Q zk6Fr)GIZ>uTX+uI=8`?HSHtX{^pc}w54MB}0(Kvm5QN1K6_1YzFLFMn%$FWsRt@C? zKkUwcj{ zQIlv+4e`O4r+sQ?OeDjl!|g?#C&o7s7A9_X^Rd%i5vnm%WA3Gb*Pk+Fc6l0I)7gE8c-ZOns#3#R zD=R{V5+~zgUNEMD*Kif@y~jv2+t(jhWwj+}BpQ`aqh?}E3>IQo#n|Hvj|Rq- z(SAPGXOn?H`DGvXb9>m!`w9swN9u=CvIKC+N)!6T8XnW4T@g9+!4I2RMQ;ks?hXpk zTz4*6tUP7DnHAHKH}ho8tUR(*(yhYG4u?!-#?ayU1erS2`?KK@&hCSB$7QFE%tk`$R94MYJj{wr7n zPzu+yrWm%*k$hkVDrU6r0r53f{s4?`>R`qVS6p?(KY3*6sBZ~(@1va2>&H}MZEF~L zD3y;`dKiM$yoHe7eNjjN83r_DSz^6O64@o71}EFJM+Wya#=Ha&MU(1uT(VRpXydnt z!(Jph&|2IwSJjzn#!iH%ELaUd?oOyu=$uS z5zPb_6m@Tj7a|Ef83|RykJY;`8q5gL#M6S~fY79pJbPTnn6_tNE)g{LGqXLa3MPzS zr+(3ZsqEcRBf=5$!Sx=_2~wsdEbIJb}dho-yBR)1EkEn+g|NyXWZbQ5fr@s!6^FFT7NR-Jzd-eOf}uen`sG<xNR8C4|Q{!~(9O}bq#&uVv6(P4Cfigr1pJ|~>}D)w+b zGUemxm%#rF`SnZ@qdY+rkiAAd#vT0bKOy0qwPNv#FUyOm2j% z_;G8FPi-0LfNg-eR8(pDhsr)dP)hOYmNN_|AaEBKl*!u+VoWkBtBt-YIA47CT-#^S z(BcxE)www(z`F=_y7eq6$6Ev>wY)|u5K>)=vu9~V4(DbR38@Jo|KkWb;lgE}m&GNe zk7UVposg95TRgo~PWB?=%CT@R3Athwt7KgTQ69yu5 zCy^t%8$?*19{v~OrP*~Pf`BPT7QQB-BCz}MzPvK{M)ik|$RPNX!j2Oy4RKVsT6i)^ zMy1?P_+4Hv6ZL`=j@TYvl~$({2}32^uoah+e45!Nlb7pDqpVi`yl zA*U-5eo(67?IMYm_3IpbpJ_w@21Mh_h9KlbD&ix)gu%96)4=3G`#{TIxRLRHe~;=% zL&X@T69!jKYfOB4=t5?#h>L+enTJ4FpJS*e)*;2~10?TbnF;CvgAPWY8BsG(yEAC~ zoCv#ETDw-<|HP@kwzjsa7ZpC0 zaUJj5DkdTwZ}#6>TZb@BFi0%fadYNzqqR|4(AtO!i~^aZ)M92z=bmCbv<2-8m_yLm z3cS0;Hhh9u&LzZpW*!Q(Ykh_d%`^^BBu!%Co*_Cy(j|mCRq1%r0xUMhLslHqjAkQ& zSdtdjzP0s8GtbKtwz9mm5}w1aphcYt58Dz%vOLGsSYjTl)P$5bs&k8;+{=|hW-(HM z*e+=d<}z#RTkKff&~2HR$6bjr_Ex}nx21`4DOp#MnDu&BWw81G1sF#iu#qJ7p-Y7R zM2W1c?5J`FGJhoXu6kcVg*oxsQu?Ja6vDLi^_PF|>o5QO>o5QK>o5QG>o5QQ*I)i; zUw`>OeEsEr`t_Ip_1FL4Ke8ARKp-~WfhJa*WDOdKqJ{!G9~b|_?gJ?NvMbB*71(bg zGYR9ZC?9lK)28)h{rK>AzW(y}g^^#X%8TuOClIF?(J`-AAWNDFwE>l*xFGUhe*NW_ zUw`?ZOWEVDZ7expv{r3`agV{dZmY8aRjImC@K3(}^1qX>|Lxab{@t&?{7=6A@_*EH zsy5wWAjhjRK_AN97e-*V<3VeaSr6@zw-N>vnHkmpM%eieMiPM$V-bc0J=`*L37yeu zqXXt1mHh|5D~$a8aoHFHp~cK%X^tN$Rv172{x?WhJdN?uxSc2HthF*ZCmC(MdCuJF z%POm_&xEk@%Y&Jm&Rt4dk2ztdwW)aD>}c}ODl2BmZJlXl(|3jFkX?96*td9Wi`h}4 zr?HTgTUi#zO>z7w^(zHt35=&zgk3g<2UAwMDeLx>_~g|Oa?T@cG_w2&t|LWEunRkmsgZlB6tOW~BM9MO^#(!x;ll*gOLL0ci6uih#iu_^=CV+I%nl7r*C5v)i2S@$~1R*=0o*P3e z=JNRQ4>UFt(JW;LrdcZIkRzXByvbuzjjF^W%-R}#F{O-w;hm=qcRNm&S|M~YtHVMt zg}|Ue?}DAmuKbyK$f~M@-XI=FnCuc%!h0KONz;5(7g+7 zdRszE+DV9ZxflQXEbfH2CCYF-X`bZ^1gQpIW!#ZOfM{G**QlTt!Uh};BYDt;xw=lV zz&2x2JrfE8=M-nvf;InD8>asMR(a1 zI6?Dk#1UiLjRN(?V)h1=Y^FOK-i+){IQq>$`zA_?ggVHn5)~9)VIIuVlq=05NuQ?M zq`R0aDHjE1Tkt^MQJVIS{*6pL_F>A?cW)AP39^ROnNWNUQ|XRrI?9f@i~C?<{69bFe5lOyXr(YL=@A8c zZ#QmpL|7qQSN(@iol+lS};iQBSC3s)97S|N2mOqAaiJpNVvK-P$w_D-} z(7uDLH<-wU@}MBtVxh=6^w$t_eornds96bwL)qpD1ll$#1!79?N=9l6CJp{_YhTAu z`+1tZ%DLf5t^-BfWo~aF9;ndl&$!nr_#t!MHjVN?G!<1wmSo$gPVwD*jWEp(T<;=A2=1-hELnGY5f)a8| zOPmMD7}SjvoKasWC9J(jm^_G=&^7Na_Nr_^HvlOcS@chpk)VlmMuAtT&I> zd!<^}hjO1vN_(s(7IE$wv#Y3y7Xztbt#FB-dZ2YI4z}4Ay9^I%qz^ZFSytq(s@g5V zCQNbtXm;m3l|0EXA{eVH$+^1@Sz2DGsN2>WljMNjZZcXFMcc3w&|>a@TZsunFYG~C zm{#Q@&KfE25ETsrYD*Mc3(T~-lbGC_AG?e)hNrO$BURAthuOM4DnAE|1oZLQ;_Vt+ znr=22f8>3i!uFt#9thIuLlLv-6ClJ0Ku<3om`O|)Su*!b!$i#%c9uNBLPFHjRg2H; zQ4CPtGZCt`VXDWXQ3M^{^b0{>eq1xHGDo|Ne~zS4KO9>odaQY$Ld}7XDwt(FeZ%rZ z2cDGnMsdzn9}#Zpzxe*uD@nbfic4+>XfPy`SC931tvIiDcb4KMNUvY|N^9VFXrExF zR0!(y3F3*S+atP32}ijfCm9S)u}4KIkW|$nohJ!StdjuC`|e`yjSbR~CCI`Z_FB1a z%qc>bDQA!BWx~D%q^sbwB>0oJcNhNCJe8*i=$#av09JO+3Hw?FSG@ul<}%^RVq=Q9COz~E%`cM4!ZX}9o=c78Q1t0 zWKBrVm+LYW)5$c9*W`iG&6fkYsrPjtr+FEfz;_vx%70XLcon>9Mjsd-p@zQ{|8nEs zBryMaN2{g3AV0RNTG<7XlA$&i>Q-1zvHLIGTXz4JiZ0i0=`SjFhmSZLplLEv1)64@ znXk<@Su+4pK(4&k5*@ z%fzEg3@pCqe@|b2GIs*j!XK~XPkglEe8oh6)ZjlulLGv^D><)PGjAVxzK#{6%uT0z z=d;^y$fcgm>o^ZDW#+bQ)Xz+((EaM){FR|OXciMyViV!Xzj}&Y$B_XsdG1<~xFdbW z+)31Zp;YeD`0;#_d@<@OEsUr-p~4Tm^O+U-H>v!qSREUpcnUO#rS1sjrcZ9_|Du1*--&iMWga7cMmVf*I#p4$x2?zb? zdEXuD|4#CM{+G|*&NA`G-=%qS0E$Z z7ckR>_xr?bbKM^1RElHKhCH`BeF50S=Uj3)uqSlFTGZ<}5kubej;acV(~1XXRUvL9 z4z#dtUsVB`(1+-YXRX$zWD6THsluoTd+)l7ev6f2*m#-AiTMb|6?uUGcG`hstKd$? z^mX`9RM-#4RKahq5AlwuZo0Bu!2-CLw!Ui*+inLH=0P#tGr`fk3-F7*T)4LKr^D9U z1zFk?Db8ep9t+tfk&7gf9YRB1(0kHM>K$$v%68~T+Ss1PY}80bFPKP0J)$81=fs=0 z7uaSZMPv-dLErD|-6{RT#mu1swopagalpx<7Z z5{I!hs%@!4^Bixnbd@KXWBgCw*XO*WQ#{z-pSLL!Xwa2I76@^$S5F`44p((wyDUlT z_(%iPdgNt0`$)bTRB0umNFOrt#BB6W+7e9D+%nsH`Ivq6cdYfhFKSq~jKZo{yi=-5 zvBw*z5bHgZ7k%Rdvychrg^K)IA9w`8>qCysbQ2e}Q;jafZe23ch#40PN@d1}0%>a- zh7j;*sPn2mthX@7ptPI^xNVjAK$XJ=0?n|biimcCQF%%yg0s0#PidZ8%_<(1eIyoa zMHgAB*Ah^16rZjbrWNDJV0=+e((QuTKrqjYxAe-R9PNI)iw_1A(=}R@r^>ES(p1T& zG1$|ydIGyDWx~dU(uKIl41j<%Ib)rwQc=44%cQVDIcX%t&P`y}KP(STJmEnva|O|9J=^l! z-1vhZyn4kePVQn)(q{1_k$p}w@YYT5R^9J=od>qEAC))KjeXo)TXscXLJf+gJp1q{8#N@HiRutTK;{#y(qsDmi+xsQU;WWk zT;q;eJXhPORra`29ZIX~{Ob3TuYND*_}-QeMH*YZ;yM?iYy7X6h?15;ZVQz$%q)IH zxKml`x~oKqaupYz+DZ%FC(HTlYdVpESKGTY=nzyl<#8uF{u7qITt3N-6BnHE3s-*b zQC@y(svPVz;FZ=mDv5;z3o+CQGiNNFC>FBKYgZT#RuPKeTS9j$ERYPhw)#ii14gIR zU8*KVX_oosO3ht4OP}v3mlp}4h52ZsDxSMbRlH5Yd)))|wQE%W-0Ds+glR>`4Gj95 zOO4!!u`Z>S{A>2ltrHf$hHI`hJUg^J0T)5YM|wu7Ls!f9BBLe@FJ=4~Gu^TP>QmH= zrXl|Q^w;rk%pYC<1j`rGKVR<@V#m;};4ICX5fes|6vQM-qhvha4%&p}E}mhF-(ZdB zgy;AGhr>&~gkQ>n7kS2G#xo6$4_HsS$=xSY{WuWT-}MMk7pUVQ=Pz92ay+vmN5l4+ z!4FBNTF%#GuSaKHZWK#bC_qPnep~WbJAOPX26clmCH|N1GA&1s@u*Mfh_|Sm^d0kc z+1yzxafRghy7}7m?yP+mmMZA6;~(#|XVs89B6K1#pb7NXEqbGhmXb&*Q1v|M`vnbf znVMOCj%zIMDi;U?4RfrZrTN;sGe<9bm(@n@QrYc>J76nz)t*ch@3D+7>vhJ>BcA8z z$B?OK;)K_fLjnt)cbY1{w5})^SESNEExb!f62$SQB!e4ObqPLnRm)LTa!tMruTPh@M$!}4T-nF^ z6OwkF5vPM|rjEqoz&FHx?orCPZPr+-vFxttM$V70Vm2jjd29MarcW&_1gtIZ%Lv05yPq|DB6%kI zDY1#X`}L8&2qtP~b7I2e|D@)=)>f-hg4WNBVLp_GD9NKbl9H+R*5xr?$17fbZ;#j` zD7{sgXOEex=-sbtUZ2%?#Cld*Y^6X(a+fvJRUI43$Q=-$ES{3`TD+DE0CX)4!Y)~> zP=>wo)}&*M&;_A8$;aCW(-l3qu}iK6sp>Pce)r3gP6AAG$sE-&Z#oTyMdM$QTe@z^ zoz?yAD+D7)`bTslK*FyJF!%1yOGBCXLuSdozttck;dRNslA?I@k>pjxcNNF0l+>#= zsIS&!{+K;I#k6{je;?x>g|=xow7V1+9L{x*6lNW$;n1X-{~*r(&HSlogVSdQL!QbC zwbr}xF`0hBw2dV-cmH9XR*&y~1Ah1vBRJHap7g#wyzrrlSK^v&CcN-7j-`>E!7F?=!tI@e)8|RWTUU zw5=zMfA-9&KJq$j8S;EOmhA8fFBXOJxUGf{4tVNPldrY%E>(~p12~Q322(#C8Can3E3tbyFd_z5vxiVP`&pRG@ z@0`*davSsfX6)|q_QI}|&lS%J+}Xc25<%A}39*`a~W zxUAHU*GsVz3RLYQZ+ZtV9gA^>_uubR-qYPxpGaoJfa->f@=j%Dk%#!{Nt>S_&9hC( z7HIH{kq1#R;WU!+0SfxNKl#hw{X$$9*!I{`D#0ji<0|F>l_cUwx2ZvXO#zyyCBgG7 z!#ir1Rf}oiY5n`7D{o^%6GDMh)Pyy;RdmUsOZ4TrH89gvh3Zt&v1g@@hj&-jKq+|{s|TItKT#AX^8o{D%(4&_v&3L zte!}@`bL5B>s_cn^qQs9@zM|k3Sv)e2@7FP4))B~+g0^ENy`_Q$iPtPM!*=|@#12} z*{F8yW84=^N*>>2TL|HzIX4>6k?`a;F);R!B=&bKJxt`Z6?~mD8jw~mB0@fVSjnXv zLDelLVSCBSGsU^<@6waW^?`>)*M)hjM@VI1dBy`z9WVvc8Y3vVK}5sTXp9dHb>%9` zE*&B0G43;u4Y#iMzl?cK4qfcZczH%PD#5OAsPkRb#r3-VR5Ef#zQuYoxMZ8J@o_BQ zu8{n(9Vtu6@P;f;pf#^j?i~6M)qIT)ALyQe3ge{NOBMDD^RQl}43gs|SPqHWF3!u_c#{_E=VyFh@E`LaSr8J5L)_9V z(MPL#mzQ9-8e@jgGoQBtu6ao15_V>7Y#2#e#Y~CynEp*m$Cg^?uTdC*Zooo0*K&2S zB4Sxd^a?Y;(;XA^DneAntGb1eSsxT!)qxQ@b;~%WxO(K4l+y;pW<9BE83rTjl92Rj z1;)NA_hkZ8R3lUAzZ_gTLcvzz@<;UO*pZ*7g!F8x7}Slu^xdBo?|!9`dek8R^JUx5 zQ8~oPOlSgn(G{UD|1OuLKfVrHiSEE3lPD24lZi=Gw(YyQ9M>iG_}ZY|xK0~Mnl5Vo zL~6@%Wj#?vis@G5_dByJ=rcR2OLGt6kIX8Up3{NwzDva3(OqTNT3!(kx}G&Y8uL?U zZ*Pnem<7Df%@RW(2pR8IFc*lKl;y06Q8;BqOH|WS=e(Ij$O>1acjg?_P|dSJHfC>m za|lm{?StgNW)K&Y+?Iz<^ET^vm+*4j&3fd@Br$&bpL_KRiwAaBjey#Hxxhi?;&v7o z)P`2h*@C*T6|W=)6yNCicMciq za#0r%P)`K$GX=_z?Tf|0{Y3H|f+f9Mh`;PWC5kajF_h5tu^`ZWD(U6GI?8+{h*oyMBmjR96auA)ADBPy~{Q3tkKmCuuujXzhYoaqR3bD+2cMPjIK$TDOC ziJWJk>8OB*o}fc%41Rd_7eu@((2`%kGWC$#F)?Gml)s0{|0pTkvYS;PxQ!D8( zCfNkShKp-Fw9=M|Kp2;iQOQk@pG<$WIM83bM<*3P$Il2E^0B;k@R(gvNN|i{?$T9@ zjw+3mkz;xd!1hVhyIfNwPsSCpDRiV`ntUqBa3G1{;`SJ!>01dk{Zv+6d!UPz#qFUu zL2?6AwD}Y{3{afjKpm6c>%ljV*}BNqA4yi>LJorPz_8Z?YOYcqY;6VM?UM*QgD5-< z3eTatxPngI5ajaHh%N`Bn225v$Eh47&!#xHor?5h$#-cS2l9^bZ+(+6S(u_KGR5w_ z)gDZBO8nsf(fQl6NXVY9qg((}ojd!vxZBaIwsUcE)p>szxT zK+t1a)H6Pv>y7VUzeU-%lK3%0Hws|&JT};!Qk}edi(;UJlxG6ycvxegGSd5*nAmGY zW;OiT4`02i(k_x~@aQ|F&8|$SpD`>mbGD2CCT`?21hKq6jO$eC28>6M%5Jk`%_OSIRG25G_}D zk~5zMG^96+g&|=_D!a&*w{zT`#5wakVQZfq+6tyNAuf5un!ar+D)4Ksf1T?+NX>trOVHV zVv%zGGYUcIIkPrXPqCagUZjZGn!!{qOnEt+$5yj1*+l1h6P-{fEJ8(Lq1d4t4gubY z6NcjLW-Wfvc+t02&qrFk7^&N`Ocbu_nDb-HYpME93X46lc;g9Dtdw0a>2;Q>D~(*3 z%+?#}@~k}Z26;;aUW^bf@3zPc`T&bBuNObC9s#*XBw^94u&WA(QaItU@g8gAjx8M6 z{xFfn8(R%7aRd~93SO6{yy3BUy%Spk$9YxIS_GO6UnnSl=0jQUOBl0Hov3X!>}>U_ zr<=<_dDM2IJvfpx7ydovEcl_Zs-`#?Sk%YN%yimpks4= zE}**9S#8l>UJeOnuL_}ES>ylAU_dOLyyblpO)^+D*l@~5JWZf>q~%+N!17*z3rwc& zkPNI>L*_IS&98{TVWo#QmvMevSJN*F%GsQho4&z(W#X!MD6tQ=IS){H-a09P7Y(RF zF%!xh+eXfIU{Mp)Q=Pk+hZXbfnA?>V;2ZwH8kaxvhOgeR@1wu`!{01DbH6g;^&0!i z`fNqfkMRHd$-f@{EYwH*Y;Y^>>vWjRp{k*Q>JPHvEX*W6*OvB7lF$8%3ua+#c~nkM zWqD{YeFaeox6O{%S9B%DzpJAasz2cStt}tTV=ORSsQ^U2_2l??Af62>i3^^>+2OstWFqs$9ff(1&#ua6ogU8A z`gxdaHD!UF0Hc!Fm_({1P9H&s%-8AhjtgTJuS>Ihl;DCT?3A^>>F2OMK*Ozx%ESEM zwDE}(P^kFX5o@xgsgJgQkJ0qnUU-Tte(}6-#Fh(l&#`iI6H5-6pPFM1E5`XYI~9$h z0(eK$ytSSbmEzF=6IBh?YnofYDw>fi#suiVfe0AQwjBtuL;PBpj)a+ zrF!C*30IA|S9xz#7{=AE!Ww{a?W!>Z5e3ee3FUKf;zX`$@mW<7ZkKG>k?)ZWUPkWX z!ytz_AIm`|Cjqfg#yHkz=iUyO9DXS>@vx1&j_ljqi2YTwhRi~A8(uBe;&qd5N?Eof2hw4E+!00&Rwi!}_MG!;s&$RHGYx^Pw(t4T z4X$cUM&UybOv&m!+Dw*8T8=E+w(KSmb`!}xAu%Nq8#$VDT!^rP5x};&#n&=mNU-K$ zJi3XVWkLxye)#=YuXfnD#pBEBKXrlaCwfovm;RIfMeUmFsywO4L1P!6=p_j&P8J9s zysOdLhjPM64oO^ z5oM#rcS-?bp@&9ng)$v{3_S*w)N8u+*;M_6>;vps(M=U2&Ya8!23%F1tw08k2P$+F zE0_m`4Z`XiF6r&x7B#WKApDAOJc^n-Z&tzaWnOKHgmf~nhRjh=VQ^G7 z6nu=QmLtcWx z^m!|%Dv;jj#d2e+u1>I)HSti;Cc=ra#PS#^XW(s$Fqn@t7b3p-B87@?%{Q zW8N(RBQ~Y!O;sMSI^-$jX6`n<*!VJ*Wg8o<_P`ORD@=NeGE;|43`ZANoSSVU#0l3c z*|<(67Dy17wvT6}MVZyJf)4Q>EEQ007Fk}i*EZql${zVPFl~l`!^swOI)|1f4wzQFiwPkwZL>UU=@Id?IyXd# z(`ZBL#r|>st{oXGO6bbF-DCZ(14{^Y%SvYE_(k=se+w&;!Km>pX3{fr@J%470v)2x z>GNW@$GJee@*%8f@!97F3B0(*+|{u>Y}dP2h&3BFy|XWp!S{x7@&0-d-|n zvg`%*NYo5MbONZ!%ZD;9y8a6--!YCccGWUA zRhr?+yGgl{6KQ$bm1|4&?&K|bq+h~R_X8%LB7XezHT|%s7SS73Ay{Ei@2`rli*GCl zqR9Bh|NBGktDrz+FqOBgOGm{_BdX=FPbKk1_sw8z3av2l60-^{LvjTM^<~$kzT)9# z1_gy~;&^#dgm7e~sgml58@)J_WAO2ahFJd)V_T;@k~ClsGp&IjxH7vT*VGo((OVp* zVG*ayQZ3=&$26(pr`UjrxNlXCv2`jAL~8<;ZwbeDNEu`RWw2_VEM}sL={0(QM)fpi zF>%n{E;bivm!GY6O@&$ z#0E)n0hDj?zx=$9CnS7}K?_n}&SXIGiue&$({5L>Sw2BEc!>9VrXi9|Bi>=ZNhcHn z*_WG8nIwpT!|5>fkxR^(lrT%LJ>n zWM)e9_=!m)igOHAlQwgF%nlgIL#?7Kz!=_^)e{fYs`9DG()B(b2^%^BK{I1(lRh!n z4SMK#Lc!Kz-!m%+IN#R{)aO>WX`3Vy5P)(oJSAAfi%DU};t9oxSvZ)?66=1v&SE`M zVzXxhqh*z54?MOMgMYuHdYv^U?-ce_P7m}`w**7<3AJpE8k+jkPSR(=C|^q+Q1%L> zT(%5-Cz9)DrX=1jG^|9EK~K&quskUqfFZM{&YCh8Vkv{Hj`MhB#VQX78VsEvdx8j) zI5*C6lcJanEo`myqHmk>vEIM?f;;GusU1=slxeZJPMX$EDwepC48LYEufFzF;}2(3 z@U3|HbTpf`c=z`vWg?5%{Hck4XIOH2t{5H1!I!l;X>BnpRaU%lIcOHlF_Xj$8{JA| z{y~~4X71;d>*orfwKV?s-~RT4o;AFd>kX+<8F~$asCx=(mJfxBdccQB4io-}UWSlBoO576fT$yw?> z#n{dsv$zlH^_Kop*X%PjbXRkzwP5R{u*{dfs&Z(T6O6vW_}wuCX9p7kn&EQtQ!LvI z@oD$OZ>}UqAcG2}1Db@VFngsotJH8NELg`=$>qq_vS%y8YLUmB7;1+-nF1=`g`&?I zJYkUm)YEu&-3ulxNxneN45pT=0HC zs`M74RKr*}wY4)EZT`g=XE^$3tc5SA()UAMWng&r$T>;jh_Z>UgjRj9$6wovJB=c> zVxTFRxl)-MM3$h2u`*|kmx7~Stu00j#a^5&fcwQk-)to?A=nm_JZM6;5 zDS`;dh|wSdQ-U*TI`iL`7xje;Od16a7cl#EU!U8hL6q)OzzpH#pkb8%Oo~^lr9Fp5 zP@#ZGj&RIfZyD&iL*}^d>-M{xm3?#jp);O*jyL@tUC0+*ERJ5WK>X1Gwk6aRYy<)Z zJI*2m153@ouxvTOFkx~vL;E#rK1CO^N#k9-67YaEk<`F7J*m@vm56LXMJ4$q^I-S& zFE7?j*&_VwEO;{(7FQPRS-1N>`dZZ-8UOPu3CV>bC?1d4$V%ub>N>JiHoZj6@#c-E zj_s7tBq5En(e}p45$&%uPm1b zE=&DdWVKJLbT0}OSdHku$bc-H=LDZKpr5%L=@;wB`+rG*yPfR9;x!JNj5uTrARgSw zm9Z`^VgyVtRJyVLj$c5!O-U=HKMSQQ-74RPJEN^P-okv{C7^@kYttjh?SeSJR&`3m zAEZ8}X@ZSoxqwdASl)eL=FnO(sA1T^m~0uBzo}^}L)DOYIqWla#y=X%>8ED7P8mq^ z?bgXm;u3?!lUyNfYkFq>?YH7vso;`jzoQs~5Yl!8_U0E&AT(*2uRWCDNg12cZYaa6$7O`;h>2&rmg-s>W{1bc zqe9Mm$k)t2B|q5uhlU^|yS5lTJf@Oxo2Kw<#+%7cf~2NyRnkX1hw+c+CsQy!^y!js zetyY8ppJXG6qa%FDBAbz`^{#(`_=K?udtk*nP9spc|y3wYTZ@M3>lB-L^5u_HrstQ zY6tC=&A1h+hp6&~A?NsU1HDrr^&Xe!Yua?99@UoT@1?6)z z`*R{dZpOWNn;qK{larVtJJogKgkh~xMj8&irk?J~>QQcVbw_ti+E(KJchMx(%an9l zjjCizSMk%13DbLFpOiycWS!FyH`hD;dQ)`|UuV+hp;)ngYWMw+>N@^ZiU4-|?P#RS zndr-;GK|?P<01TrQG1Ga@rwI;oFDfI7b7{SUA-C@r zjc$JCF)U-usgW2|6ZSC0s!?ml4GW%Y!9|Py=I>}=d$}1`q- z%@IAFt;z%HGkIKoh^?62&GSX3akwZ7&UfrKVqO-!Mv#oft32(>5i+LU;rV4*O3z$n zJ01xiQu@zInM-NN>#T+6qg#~}7bCK*9@AT0^P!51xJBETS(B?PXA>5UR8k2iq@wfB zoNp14&M7epVaV+F7$oS&JXS;hG0j`T2iSfz_aad&F1HpbFtMwyE_gik#rnjvb1dsT>n21v@0eiI zZgFljcgtf&kBJsNrGU z?WW!HfmTYn44aiss;39Tm644%pGuOc(`}rqhK$GLzxTb)^_9lC{-o0I>MwNm)v4bU zqOigA8C{A4UaSlldFs0zSutaX_9aZC%5bd6?BoB$xzk;kL)0rDc=n`(;N*{sc+hLc zb$Ig<9s_X3C4BHWF5xq$+qeYJKqe*V`7tRHFj?EUNWdVPagh)$8s%$H`U!t0@L%XcfmJpalp%7REQ-tBb%(p{V;UMD6 z=!^_1PemYX0b1$NJmenPk(51XK?JrU>me;9kVbOtDR`$&ENCi*btq(i_g~S9<$)cg zoYHHUC6ll6B`Mq0=(q0cA$vr zUY=_C?G#t_6Rg8oA-NpH7G9m}5rLwdqz+zDEr0*>_=L5c_ig)(v%SdVS=>DwaX|Kb ztAlaFINz7B%II!O7t43QK7E))?iWw#0~0jI+ZdIg*weXwYOu@e6kp=Id#cJcS@>4? z4PdS4Qty9p%D(!8X8jcJ@y`37zx#Fa{vUp~EMKiVle@WxcfWp0H{~f?KMmZFY4fw!HWMusGiyxYz2tU5Oze0hf{)vGE-bTWpW2JAYHY|M^#cknCAU zW`3wvL&CP783^CHU>_v+3<$zTe<)Rsz9Xa6=y?3JeoA2wku&=_&hjjw$4VHSG-%|Pvt|iS4+_a#c6v? zNw|XYzYxYEaaf1GRKdpCeFy9)Z>LqftIiL%sLg9N1cC2{#4hW&MRwMa*JO1PN606- z&V3AX_Ec(DSQ`IM2XOJ{K7IAaThK19vGP=IAgA}gdH3u0KX3HNQhPyyy@v-CV`dFe zlrLuV6-MUoU|c?BjE;OV*IA1d;#s*&xww3ryttRVe1HaokkW||+7G97w!g+h_XryU zv#4k3+M2U|gBkBdg82lN*d!S1f|>9#R_H1HJmDAfGRWeE<3({xP6F#CWdABS38%mI zBzcm!etIzn>UHzkHca0)#G(2+1D_yMGzf4qvnMJ`rf{lWg(`rVhw zVanvU%YyguBG5qEM=r4G8hi4gEV8{Ie``atKIf;5>wnX+I4=WY75%3~H#Ni`|C{qM zrfEK3{!$phOPF}BH?%aMG!%N{7^tjD7-P`PCF&K*QIocH2Cec!V1}HzDcTsyFo>Wo zCr@bPcOjQ&duRD#R^(Xl{m)^>m0M_rm(0ut>&LLeh4>*6l{$(n7|H43thV`+q<7r& zMk3bd+UMeem$}&IygZaD9pMvAA7vw6cGX4qs?6t~Dxc?gx<=!Ir|x8F-_rI!E69rL z9DS^Wrj%bMqATn;-$r-M3Vbp%?zbbGIXeuP%Ot|1k?1O{1ux;o`z}ON#7UOE|4kB0 z{8ZM$p4q>M8~?8rH^CKdJ80=mW0@~Dr7*iGym@+=`gP_>wX;IMQrl`(FG$rADfW)rd z?o_5HI&&9hm1a$v8+I@y;eLQbQ5NdLTinoyFL#ifsgm*2aNH>+?*o+fjJAcCncxSe zZMNB%)$YvG?;@=YcQK{pe}K}I3H9PCs}kd1H-;-h3H%*j5{@6}uak?y@q_tQA=Lhc zk$g|)f$$*E2N_+P$7_Z^zWahOI&uuj=sGz+Hn)=IY5JP^kTv^pvB|shUzMsqt9DLd z`m@;qAnnT4Q?~!6wfpnhd1CtRSB*sIVruWNu}~Jt`#(+}7#thd&u}19H}9y)(c=Yu zrR2Yak(-_HK&Vzzs@#8?B*IUTgz&R^_r?1!;;ZjNM2W0S@{Um8t4{gp8CqOqa%_-DD9 zyrQ_#QS0lM@^g$IA(wr-%HDrra#$bIyljh(4f~t2L6WPgeE*N6ez`;e2iRpq81fc2 zfQkVOlUJ3heo=WtwRV*jsb(Mh$h%*eMVfr|3pDE?d;iDp{?x4Z6c zB=YRAA6Sqp$#-8o?O(!%`yv^rs*eo9eu7*n1TN%8Ja_og0d^<%jzlN$q+9)QieKP?#NouJUTEh8~rk(yG`r)*u3?R0GL+ha+u zzi%`!f?2(j7xbY!Gd1nY9m;dfl2N`P^vSy~ip#q9A5nQY?lB?NWX)HKPj>W{E(JtK{m zFhFJcIgxyj1*vmiGIm3Fc&-U?{{A1WzWPNoT16GU+c#t5T8UvjIF!(Kn>sC?=jCtw z_N!Mz^6Pb0t=p_okOu^OVf?UmA`~R1N`QN@kkaeZ$TE|8t1%V9MsBWSL%Ljg8;-l-`LIm#?FfrGZ$@^G0d-X_n4Uk)?$k(t!Ge)>8V%sb(#M{wa#oHZYndre;#Z@+tdW$i0glRAlcUjX)I+g^wKg8!35CWZ? znVXBQ>(|wpnP7CZHh~OCh|v;toIf&+c6O_MkdeyrDX0n^!4>%^`RBgC&`lN6dYCfalmVw=vO@m0A8Gra*@3 zX}ueB#p~iM@3;z_@M9>xeKZ*&Jsqp+38dAh$9f@m89}zU$2@MHDrTiEtfw?@PU)6u zy;LNW9ge8JP5QzxO) zNW*be@9@Uqvcb$;e~cwZVisG1=9afa;KZ!4%+=Tfh>5XFCd@d|}wjp=P%Oh3SB3Z0~BV1a+9!x|r2^8}vo0wG9CX z(bf9aI!_<26Nc3i`;M;XBuBiN&*!qu>^ zcfq{lFZv|7ihUF=!%$<>8;&!o+37JwD2l}gdf&SkbN0CRUj!S)ZTc zc8}dV7w9E+hi?8r-w8iheQ+lr(Rq3vFpwh1SVOpA1P(R&)+w$vmUutaqUCjgUsUT{ z86Glm4@TR5 z>1ecV-&RnN;4m0*7;z=S8ilkfD`zxVjwh} z@k+Ru;=G&)@iIVxjmE@$W#Ay3R=vCij^#&@&Y^>fM++gwB>`?8(CqXq4Ogq>jiC|D zYxl0yepT{L=x7F(hBI0c(G7?6fJQ5^`{UX#SEl8ap*gAlr{?84xk;1sEyULz&;hO& zXg(st9j%YfQUp;}d5YC^n3f&f(0n`c=9~l=vg}C$oO}DTcgQRf#QXU zm1pS1TCB08Jk{o^6-BQ`bv$e6zLiA&8@|@-gQ*gr}4 zGPmvFXdTbZj=1LPk#oPWTJCix27WZs#7FLT{nPa$w~D%53Cu2mbeQFYnMS)e^k39+ zd`!hjBOA|)l9+~VquFlqDR<}Hif~K97tf-cjF_NH$!hkkeuveOraNbpRY$U|s zgi0mr(l!(3QrNOp##5J$3uxadf8D_*{wb~ERf{c@FGG7~zJpH4@l#u+M%*@Xy``iu z=5OF*vQ;;*e&brfbo3VXEl57LBEAfb*2_EixnXcni z#uVDiNcfHIjCu;bal~JJQT>&>m42>K9XV3hbk6-8P=e z7i-OgiyKvp7^}{-R~mE#?O=kM z^;sSEN$PQCD_5A@gwD%~O|Du&FleiL+@*b={hVTdBQ!W9m7wa2-zAAu#kZKbi5a>f z<+Vzpt*(`g9ZhAqq~~Apo=c1E`~TR|(Eix2Jv)-@3eczT?dV60&sGVgp0dL#UY$~_ z`v9Umm$k+L-b*WtnD2=cqUHU<{t*+xgqp;;-IhH3hR)S}G>OPkjQ}1a&vI?ags`vz z?>=zB!o5m(Wx!xYGw9S)S4Z*Zm_4{g&56Q}*qD~eKXbO!UziogjGtho_ldV7=xa{o zi!kn&;g2jAEs?_O-+J|`#x^YmJh6(4^-dzR^7O6#$^#O8gS=*2M5Pa>-shN8#eH4#LpBpdo4L%69`E??JIOQTuu+D6hDxs&;8cN4+< z9hhgO^%*-mC+t@xiHuF?Fej)p4b*;oL`7Q#>y=feoS}}8M+Hc?Us(_l?T|{AgRFUkfob)}-YOfrTy478-z?|ea|mMVSWLDA zE47qU4fF^$$hOGS$MZ{xIht5#xzGWRM{LPddAhV$`xxKM@+VNm3rV)he0a=Dn6G)* zLLAF)r#VH$M_$@e+sd=LGCNe9+(4f?Yh zhn;dn9#XwuE)6fTd`Yg;9>ww<&g37<{Fq*dq$9N)$%CAROT)+BEk}Pb`{{7Lp!Gr~ z{SlV|Nk@inTcM!+)OA+eY-9jwWPf^17% zD6`Jidzw+57Uhp5;Iaj;&vg_%Mqx0F|lNqdUVg%ISW>4e^J zSui3Oa;Vydf-EjXgUVFyfDa6T0gGNyvPo%4L87Uk=u#6WmD~N@>yO?*f@toNTE{2M z4on(KyJq7!G?{bvMNB#Nh@>Oq$nYa(q~div7R{ud^zD!asEN<`c?4EHYFJjA+GTPI#$4z!+2{HnQh|`qZ z8moSi=F`qN#7!eEQXFQ@(}>on)wZW*M?m-^h4e@m?WW;+a=p=Wy5cc0X|OC`p%HjQ z3(~xq%wgQ7ljdHhG-)bFukRayPfR1C<1zPPPJE*AMzaEI7$stPXd-$>+2-qZf2TYI zx+Rv+>iCZ2vE|&mw()=b@YSnRn(o!@VR<}aLn|7Z|4jXyhjvs6m>U0K#dn@{LZ;oD1}Y1&5HnbXl(XG{pqtj_e+*%IOS zByhQbN?&D(m&=BiQhfqKf8j)t;bOn<{v)9Iu!{vf@$O!a&R?g3q*eZfg`^~(vk5&A zYiPfUyB!&oN`N#9Xxco5CJ|^SqKWg`DAj4LG=rfR`K}QRTgsv*MYvl6pr2OdnWO|} zD-=rZl$~JVfk-%R<#O0zyxSc?+rzUhrR6=8+Oa(y#22~?+lYpC_TX1MYuC^fDo0h> z4BesB`w5F);5!cS-uqQP>_`naTP6*Kz2=R^qPws(#_eW5>QmownICT0FuXBa1p7B1 zsD0(8+?2YuPzh!ng|2TiTikHi(6?^YZZ@MpBD`q2+8)c{XpkN7sJ-^=5Tq_JoG)6=|H5Cw4|{d47l?Z;$Wq zoC`YKS42R8D8@o6veeU|Z3~b0-;;Z`j?(zH%S>YlN8p{yK#mH)MBW(b&eVM%_~2;L zvRW!?wzVnWt|YgcX3q)y(56>Fzkexm-bMEbTdroynX%}-;EP_dfTJ8t-7@Kjcq zp2uUF7%Rp?G)zw++=bXIKzHffM<;fMttetdk`Ok@bbCHFnj%Zi=|LLpw&QQ<-uneM zA#mp|{f;?lD4E-pFkN_fk*ztKWc+AFXkrEWTqZN`dJB;p~lZEBAZ)qniVX)yn z1v%nrabvE|x`PbN)nmNPddb;PgdjP4DZLOzPDgKBVUy&swX|>>7iSC&)vW}?7Q2!t z6r3Ff)8xi|Ya^0$T1-DngB7yWR(Ulx|*sdg2M;aqE3pv&(UlrH+)Uj#un z8ebv@h_@F-0Sojo?VI38&-)?^J6tTfStAaB9~zGZ{)K|>a< zv@3);in{F}VxefL8~VX9PlqugYUM6VH$>ZBH?rK&#D(!-)Lk8$(8EfL1>Mq?0EdEl+)(Y;bR6+8W2l@-f+AWIL zkE0C-Ut?xva_l?0;G%%}T6VHKx(f9bLvPrXyf3fCW9wwfIW8)%D z&xVwWvd`vB-rZJQt-G_RE8HxDFuJou;Q%+G=Efbki6qAt%~VK%zXw6z09in$zhK81 z*zoknpP3yyovgeUvVsM4309Vhm8E9I8`(U>A2};uA~|;p+<}##7X#Cuh+;67M>NaA zs|fY|q`&^uEO*RvXVcBkjua=6=ENUyqVy?AAAM3Db^eH#K^Amdk?i6!P~R3gEG zIkLs@@ac1-83{&%6tj#T+2%tD`(TG{8vFz@ww#_Hdo)@c>r+OFy>J%6oyv1ZPHe@= zKY{*HafbDC>VuyA-B(UoWpu@o-|i6SF_-J^32$i$Qw@4h3p$F27;+Ev+^Y^T7v@zJ z@3Mm>iQY}3_$wpqQ^|7o!Ad92s?Bk&61RVz@h$;_s%dN3WFJYMPT$&eWT4nV+}7Jd zveI9#!uv*5+?EWJ#1u`-i(%eE7pWpFk8Tmp<)A^7lPH{T#4A`Iy*J&xuwc= zv*$URxMf?Biul0W%%fWnp{B}etD{Z7cqq2eG9Sw z$K53a| zTFDb^aM>l#F>_`dSnpKfI?Ye#!V1Q*RXglWJf+LFs{gDsk;6qrGfz`hG?P5zyEg73 zd{la0CKF%^Ws?yHD13zw-Z&{5*fbf~qdP`bP_=YLq>iH*SC0?tghMG|L9gR`1kr!N zr7o=>qvKL>wp8W8YsDpzkp1Mn7f$+^O?i&<4aHxiC&B+?;XTGIv|0`Vmc+&uv?3o`k{3h|~eIqLo~2OcSRvx5*z%6ar|^>aUF*dCMw^{{VfdOZGOD((lb^ zsi!VBT#Q#HlV0(96{|u!uRvFu6wLYIEj?|zw^d0sM5c+OP!mu!Wck##C3@GUvxQ~Cd`ij2R&N^~XuF^`Y6a&P(> zjGKo3O+@oZjA;ncJW4HaEa#1Fzwu$^*_Lfc;%Ndk5~uNe`MPcWEz`!#JzB1j5Ye%% ziuBwE(2af%K&z#5mDxbt4aXwZ#tVWA6mU%8-s4FHG}l`0=os5%`4N70)z6VJ4Y-RX zgQ$vjoxEr}2Cq#w&^-4$=I)qNvgwpjRV552y63LWGg?c$>giWqL&B|8isinYeu!6m z{mQ~Py!)ccN-UAgD*EmpK41%pp=RYnb0JrzK|#p?B?Dd3Gi2StlES66xR8#!oMr)C z8XpX)#5Oj0-7&z4x;&{w2-x~n<`~PDa{~zs85(89>vfiJ3k!`cv_t{`@P%1S*62Ok zH$E6G=UQ7RK6D|p1LJ>t#lYTTZ|PNuF&LH#jyL-*SAc01SwT!w3d3HMO#39wF?TvE+$$Fx# z+dTU28I3|5VrU>2)oMloR`K8BSp^F76AVF82rW5@c5KHN3OuDar9^o?ZssgRB;csB z__Vk}z_YMrrx*;-edhI(@6hX+@K_xBhun6du#{evD=1lz!LH0NL=g4_go)^aKw$BF z{LK7D$IJFF6w_LQihXSSJevtwI#gGVGT?8CPRc9cWA~-C9*F3d)~*$tDxMr(wA`B% z*ERbVZ@oNU6&Jb34fpMvY&(kgd0`1$JD7XkT+YfmQ;{o)anLxH8|bnR=Gv?a#$(>< zZq@w7wZc$tu)0%IDd%+$?bQs-ivP|JHDuRXV(cX&vZW3hHVms(4@7yVUlKj*9-xWx z$O9X4-3a>BG2`BsF(E9~_yrFw>KL06RYsh zox_-&7Bn11P3a8uerhZ3hIE6GlwbL|ph9MfUXLChBYI5>i645ED=&z)#`1JFTt)qX zAX@9#jPq42Sf}`$r`dJ~=8AJFdaGCtPdvY)+b++Pn50u;uMAI-Su?XBHxZQ}i8(}b z#^8Ym!hJ$-AjK5=xXG-w;#^PPmo6Ilf&gu(Gi@WqxTFk1M;N{qN-hb*PqEyUkH3^p zPZ{HMz~Z}KQUis2*UZv#$R6n4)QMq-QBxjyi-q;Ckqy5rC8o1tSPxy&Q_)$BKvlUX zm?0z-uSE}*H9 zxBIkH*n7rGiRm(Bv*7r_lv<-dlemVhv{2NW_&^>{Swl`9FdXEPrKm~_Eyb_`8VE<-M@d`VqCC>4LS8X>N z9momQF7;4pt(*+9;^(uc} zR;^3CiHKCrtOXO8(J#~3bM-?(SR&8_u2re>s?xg#hV;5^3|O6?w_GT-Oq30jWSz^EpfC30a#xL3GB}^ge zW#>e0t?A!3dWXr-P%6jjzs1Ced1LO2|JLXwR}rdnSe*4vzd_fC3g!oX_xXFo5KeJl zSHJrgzY8OZSMU)8(-+(Y4~tCZf8F*(mcu(s5(&XXMsLV%EN;GRc4++Sw_m+Vk2){k zr#KUf8!;nTZSmmXDZmEv88*Zb#In7_=~h_BXl|6|kBOm~@IHq6W_{_y1ZBaG7cldw zT?>B1A)e5ay_fEAXe!7_7%(=6j9UlO}A%z zaBB)jw0w>%&r(YP;VLPUG0m&&Xg?-JBILO9sXpiBi8|!VB{%bBQuLOF>oZHVMBk`8 z%{Q{!n)as&u|F_fj9YFSZeWGis&T$yHTGCKj^Tzd1FIBkMOnOz@`W3ekb+ePqdJly z3M(O(laW=Le#8*y-F+7Rh%O|-fOhLBE;?gs+mw;DRooU`i(%$4W)VGo;nSqr8yVh$ zOQTFAVrn$Ehg0V)WG_mOf(lzqda(XX6liOld3-P&KAF2=kDj9ainMUf#8 zA0foiRqTl3lEDl1a#$^hL{XWi@(>rFCW@h+a8!?kFW8Yq_lyZ$v2&lq@|ZfcI;eSBU-P&H#DHIthD+xRNOrv z#C8*}nQvI1iGF4Ym>iErEeUPf%FM^E_WE$#-E{~cbT7@!Zj26f%bMGx}g8=bki5fHcEVNIkd@ z1DDi2`wcVZdeOa4?~?S0b<+~AD^ z`S|X=xAaF9c)A6F)qye}Qzk=~e@)R^VeQt?M3XYvrkJS<9$1*K{V=+BwRDzmxGFf| z{UTb9X#4#D`bNyNXWwu)aqW9|QbEw&=zmk`_zM|5o_%k7;|fCEg6Lv^K5*-;Oq!H5 zuYXLRDW>NZYh#x_Rve^1xGKB;{Q_#zP}fq|wfv~Muv*rKa+N_ny*jQIZzRVv z2kyACZf=J#8Ipv4gnKLy6^$q!p!0<2{9HSNt{vgHQJAYVqjxA?=MG_ZRzyGY2E`@c)v~F zab>Zvm-ja8rGdPAb1;3J+|huAtaPC>7K=A@DReHAx?I^{OVdi7W?QaruaaH9;Z*{C zkr$%{V(Iq_#3zyU{5RZpJ&<)qEB`VWM#(2}3o+Xwgrz^0v7WF*P@;^n9u!>EntpX# z?_eocP_te#24&%wb$NO3jW@2Po~+o^DrRdiPYmW*r`9TO=?MO|qkb%lCX3g%mSjwJ zF3J9+4SH@mpDG$qUdmp(a7I%;T8y@mZ$mV0B&)u^xOeQ)EQ-46>BW=MF;xp~haZ|>{wM~-{U0I5cZfrW=hgzxZh zkLw=3K-(7r*285VsI*_s6Z5Ac#A*42!@FDt!3t~ z@V(EuS>2uYWbAmDEi`r$(e#5q~00BS+9u_z6) zjsEKjF5I5#2JQE|4{8h#*&lp2m=xd-`vb=}9sz}RIecnsM?c1qViZ24cT0=RznQ*tjn}c?vsTYr2uA(=&4;EYwnM! zQcyyYG@S@f1}y<$$F_Jvb-Kp8qP~)K`O!UH6f;`i-03h*C+hxmgMo)=`|%+cP&qM` zgXx@!U6K4apsoy~haib21!b%A`&Ss#LC9JJoP9EHEWmTe$u5jW>Qv$MW;r1*&8@kp zbY`(wiHLjhCnMbRhpzpV+JAM>`xy^<(%(!$|I7EkixUU@ zH|(9NwvD6X|HN@YoGy~#Dm-x=_A5^#?Ykj8o7a6s#^`_}#h2&e{E>stg-*E_z;N0hd;WF%pFfc2bXzdgLXAyK~yyqn+-k_ z*-E~c^RXo+Zf>;Zv9Ar|R!en#@f9(i4}-r+8i@p6h3W?0LesqQQ0sUseV#YfHncc8 zO)`tq!|3iIkDNJ(6!CrS@3EDTbjrz*9&1h;-q7amngl_lIIDZN4R^>mI=U=#W9-4y ze7bkE@l4B4JA9h`Kcx}fHMw0$a zu$$XVz`j;J9P7LXQp0KCauZsTcWqGsZt)9X!SwGrJR-N7&VD}vXgVh6{#;2l%01ex zwe_?{^q)!l1W5gIj<9LfMb9Cs^c{_vlaR>Kn)HxOa|1%A+0}#3RNOpK<%ZjP6e3agh60QY^e z4qlZj;P8_N4p@HX1Hrqbfkv~uVh=0Nd+~rY$87*}v&+;qc zMb8L;-2%R;gg>hMu=;f-Usol}D)==QodswGGJI;9j&c%8YcXw9b#vjhYW@Kp?BXE~ z*Bn}5l#Wg=cyg;6dxFXFRZlzI?q=Dgk_h*J@0bb^&$<SdR?`46PrOG8UoHB$>|+B(7ti@y_&6xYKYVj*XRQOr17_YY5OU zXb3PC{T0r~l$LR29L*^qX=8YMc;S6o_Mw!>Vv{z7HwVsXnVte3e*kcaC1Exu3|;ta zkYO`4frMq7>ber1Yf}60$RO*B`jCCOY#g1M3UCyfNg2Yaf-L3yK+D9QCK|%fXtSe! z;1p=wF$4U7;T}OfS8M@`OLcBaez;grDg8;(1nv($pU4B{*4|Z!QsP?pjsOJdlo=cv zg0;aAaRNUa6Gxu)@BLeUBi62xk?i4@cS0ZqNRyZVN==xce9hikI)F0~yrQ8u6BiFO&Q4##UX9(1!&9)DzA5C%`R(+-KnZGI>9#e0rj3P>J1KYuwGT zyW-A=)mu!d$!G+Ma1K#N0Na^ebIHu0t?7VZ`KnOtZwz$rMZ3uZqDmVY+=U{YY%7V(>*rJA%U$j`MNvRWtF6b9F zhHWtkW`d4$X{rfD*JAM1fb}e=)M2is4x^_#p9`|^TLhUdhYfW{UojDdezYwu)>H`- zp!e!?mC(~UGSGg^;o*JiY3I>H1veHXmm?xI{TP^buK2pCU*>!R8C2Uyi@(lh#z(Pj zQ(Znb=-$7-8+M(|C}rh`KWh0pxP(Aof-%>kz;G%{2H0fy4Krb-zLRMZxZkm^=#tr> zqq?ds**Y{fi%Qdh)gS(>-Sq9Axyk}h7x5{J%+q4}RiD#DEB8f1RlqwVO;-GtVVdsy zoz_FOkUBVoS?D2|*NcF%eR7w1Ex7=)Ilick7d{^D~q!YzNvv&Ily?*a~Hz$}NXj zk-0I*olJNmn7cGbl-)R(fztT$Qb(E)uUF{OAED+7Cw%MQ`l*!ikqJzD#{EKwIR~ta zPAU1DA1aI<=fxi)iKKq1t?l^)d|_Iec(nZDBmJp2!vJqV0LL;P6{1>654$Rc z3SBk>Eo0L&C3f@`hJ_VU&FDMU^T`C^+uI&=-i|8Y4;{8qP`3P7WPbR%Dgm{1qs6+R zooj4D+}nb{34|ycb*Q^D;t(D4HKLIb1V;nk$a=9i^lm^y+WvuEnK61fwEcTta*S>G z=^cSFkG1$vkXZD@deKzmrg_7 zUZou+3xxs?x+_6##oImZbPcsf&Y>RclV$))0PJ9rf&IXacKgl_!p|nM zeT0>r;2c+NuM9YSYI2N#d`12&DGQ6d&urmD2I3%GySeBvo0btch|NEi^>!gXo{KlB zSaKYGW_LZ{M=w1hd?7Z7r(y+QZKJ&u=92wI#m9s!JV{Y)+BJa-&mn{?-}k5TW6lPK z>~h}hNp>%tlS#8jpMh-+X7-^#s3SLeG?lF5j%gg-=Jk#jl80o{B*AAuRjHvf)unWD zkW2-qa;GRE$*&HTF&&FZP-%!Jl`=nYX+Bl?|9dlp>6t4~1`vJQy|b@~8A9y7z7Mr9 zBLqgL?O zivmiRS*opZq)n^q=`LKH2|OSeDBKJP;f2=keQy9TI2E%%MUSTM+tWM8$ACS()2C^S zR}NUd`eHA>x#s#CYH^YX7?leUeVR>gH%GN8Gz@_UFiC!O$)NHc5+{t42e3c_b1kI5 z;X5Fk0YJr8;DDli@mgM<1=xVJ$c*#HoZo#2oiK?XaF_57=$a`6S%E_)(TNuK4?q9E ze&@ftbgrHw`(Et} z>aN;T!ScHj!7YvR6)DIczNTOFo45bR@BY=# z|LULo)z5A7=A8qIh%B?*7zdi1yTW%cho5zu;sW4y0Fiw78L7j?p}2s7 ztD}ur0Uyc~= zi0lkffMH_`CtbDZ3g?O1aKO_<++uxb_*x00$9`Lbwz9K7{FFvz_YUDwaRv-*Q=xO& zvPq?buxSZ*t__*Pvu~(cX#mJ;lZ%(qhBObvjkR!$WikrH5rqj5txZB%2mr!VTpeC| zKnY>w^_#2ot!2%k#_EIWrOC=iZbK~;hY%GF3G!yhVYtB!zI+rsm5dvn0a z61bq19!Kg9q;6E34_`CFGR>0vp>%)|%xNoU-LBNYGBg!^u)6x-(5a&U_?!#6N2mQgX)ipuS=R1 z>&5}w6|N+3bKjy%;g**A*8lc>9SBs&BaXReL`teET z84dNGT|f@ysVl0Ta{`SeJ#h&a&tl(Kw4bxT}Q0OEVrBR2)v z2e+|?uSx3cgbevq3p>%X<$PC5S_{qvKrV6Ibik*j76gY2Rr5sZCD~G>67@AV3gGs- zf-~IuTAc9EF1Ex((^^4InD>`?qtPIzLBXt)r{<|F#JBE1l_agZ*)!hIkb^4WhBime2`5gDo0`07Yioe~W4Yh3w133X|KQti z{@J(R{DW`5`TO7g>EDx||G+u+r!%!1f*R@V=AaM@iKzh}9VKXQ=jP%lTx*woXUTmR zi~ScYZC3Ap!BwY4PpbMCe?lwMTZQ1p9Q4X!J~g{{v~Tmq)8%k3;9I6||MYiQ#MdnH z4@vg$)gL-w0=Q9&o{GQz(|@dJ+dcv7qd;}=r1WS%*zL&(6R!U2Rp%Uc3iMAK7}$ByTKW{~+i(7ui~YTCzxk7? zm_LRXGN|_Yq3G>Fv3rbD6^%8XPH>6R>wh?XnxEiN0O`XIf;WHh6GlUEp2~LLSmqSr z+i!lKo8srw(tjVNlhrF_(;LdWfi0B-vxqcN%S^MOYyRllZ~kk3lAla#@dv1d=^$)x zTpRSzFaKfA^q}xK%q&XCgs?NySGc2x%fscsu2N($0SA39 zXHu!u~!OzJerpB0y5~;FIwL@bDKU4S6*dHGc{W6DB}KVn_-fNKXSK9u1J9 zdqGxUaO4{q@D*giT12A<4`FO2=-pRj zxhD7Y8Dj$-gLk2{dy-n|>$1!Mh^1aa=KkApE7X_BVm~n@Zf?=AIulh7q7*(7IAt?j9M+1 zS3Jy^2_QrxrVlA|`%ve;Ds78`Ul0EsrRFSwppFpK~f4f?NQPitgDR`z>)@KeE>IF-aMm?ii?dfc9UYAKN? z1a1=Cb1L(^>H1>j?Y^*Zp8^?VYEGh7>>YFbvg?$< z4sU2EvStD5+qu`pNxgqBmw8*-)QgIbEDbXvvX{64qVD`?VIjv2VlTb&HO3^pbRftr z)uI5wy?_T84vMTD{7FfZ%a6K@Sq%OVuVKrbvD!9dH#!?!gW-Uf2)W;a4dxrQ&YP6A6CawgF_|9)U@WA^}KJJ{1CRWKqM7z!^@HPXKe; zDIwA>>v^n;85aQn9JgDtA-7B+FKKgV8i2Y38n1k%-AAaL6CY(gw${F{H*JHn&S^v! zt8Bg}2*yLh4{0HKD>RdP)mK~OJE#`MrTP4E=|CWd1QSs8FIRe?QTzm5?^W46I}XjY zunw13X5WA)fsxlb&!hs;LIR7Lgmlg$nSdIFT}l=Z)sM)GaNN~`$Ei8WDQG7n9~Hwb zNHbu&Z&fY#ykt*x8a0l7dcp)kZ?|X0lHab6K^>r*tCrEFi;Cy9Hc0f+fio+d=V+;V z4Y`&Tjmi4EmKexA4g8eUmK|7V%+m)1e;f<8$-lIpcGqR0ydaR3XjSlGO zG&62dEkM9IpuBm{_kom^mVTklw2i>UN9)vXKVAk0pMmJBz{xmG47hoB>}@nz09bk32L8>nA8>n~!&mNRY2|r+aRBsCNso89 z;Z_O08V7Y_yk!Q)I2E{akx(LB6<0i%X@qQT6aQw(W8j+jwarO70c3?Wu2tXTFkk~3 zBsR&vr1w~%AO{M(o=aOA&PrdF15dgt&)uh$m*T$T26X-t9GXr%o)KIGxJ>HgQHV_N zYeT(qxmZBJr*YU7FEp3IyxhR0yB0cH-hXJEHVV$8ZFy!C&*G!9sEYO@Nuss$UJeiR zy}DU1MUoENWDFFpvK9z1T!_>6*fkjMnR83qZvbN1!F5Bf;wnD5ePysE($TcF;WD{! zR9D*Y3&)%m?+h%S5+lFG;c@$&#M8dl)7D|&q^HuSG99xbVMufqTpPK^5jmmGug(_I z{d9MAtV;19*!49y$q-?t-8a>RDKxo}^1j{Z6}n*`GJ2NFq|n!%CzXh8Qdf2tKHjJ$ z6!-wk(`Ff1fO;Ags@TyYXI*)Ou8xk_Mc7k*p*Z~q4P+igB>#8h+4hhG7QQM~uzHjeJc_%iYO@W*J2XFl58(-K5;i?+dw zIyO(;(JZMg(0bc#$*B}?UL8CV_vn2-BN`5-@GdbWT%^9F+-KX^6{a4Fgyfgn$eBdPW;!UCd(njf&zF5i(opfGicg0b* zIm-QnhkbRt%vg@4L~sPmN<1jAZey!~Yy2lqkWYC|bG8&9VuWqK{HUi0J>jt%>R{*- zncjo%E=C3C)w+CSn9Zo-Nra7pTXLGx zbNpq>E$^ZLJO{E8I4Ssd(koz$-j$UOWtkK+0RY;ve*gP#-XM}hAPKe(+;89wQ9I0? zu02ag3o&oi9)7hKXg`JgAn(TSZy*ZkL4nyZBr1Q<9u)r?i>f*5rm3%_OYL&pZ<7X$ zW{VPfn+8tGO!lOkc~0tDxx&Fly8}$wBDo7{Tj-fUyzuDDB(qMiLQO*c&IuC_B*IP{ zIAKhUAK=FKe61?loXR1sOKEY{PJ0oJ?KpNqA9)e@M3$*drU(Gk%VuwKWR!stlgN;4 zg2;#bh{jPESfG_Ehx(FmB#aPv<~bq!WWYP(1R0{9uQ&KI4Q&BZ5}dHSG2$Gk2@$yM2N*d{;yt7>A`#^<7f0xnh?*S< zeHwhRm-_G`poH)eO5`3FC^#}qp<7VGkdk>E!k73DR9@%`bP9%UGOMIV1Dhm8F;d3# z#(mzN~=+sH+YN;05o4zsOrKmadA_FAb5viqFJ55FKOij*l1 zNWBw7)rz=U7Y>rxwPe2(5g3*EWOel996zRi-gA5S2dxCC5#_?5EaG88hwot`P z#B#j0EG7kJC=Kv;PO)z|RY@kr>;wD_-ajMe2HrfpD?Z^w_WsdR>Wqjx16aYEh7^1N z+|E7-QwXAfS1J=w{uud5c*+bx;@>qa!z9|l+ zRxEI|LBgn=>;oS&+o;p!!=J&@fgOYyPm1il$cRLy5D6;N)212!!Z!xYCHHw^%9A0_ z=K-!wbcbz<9oTHyLk%$s{F~}&P;9}k4W4aE2sf+U9$cyW>cgMqcu0~A4#6x?BpiGDHj%N#9Tl3E%L#7ze}aw!*>Ybo|OEtaIFN9E&@t84!?o zl(xlJeMy5HzI0opDD&|<>QDXUU{X>C)im%=_aZ%jD#rG#ps3=Wx+OaX-{DV2mX45N8nB zbh6Csi;5n997`wK=0Gj9CITGZJi@V7$w>vzJK7dW9L^ophyT79s=u$)wb`#qqVbvV z_(a$DHT!d*zxgdA#eJkpQs9JO3_<{{*C0+6%mu#m+R&P@Q9bEWI7{5Y^}By=;6}W% z3}-YD6CQ{RBLZ-b?pWf8k3Mgq%sU&^Zs0egQO4&I_(J_{!h=pW1c46V%Is(dqt$5t z;TM-@vUg~eu}+ z!VzDW2dbq*eL^NVDTbvwly^@DjG2^2$Ofkj2b|!k3yGE>c7!}MPi5ZSXQWjp z5yM%CDvv9C>%{l19F7Of5jdeivG;}6(6i(wVAEgZsIlC#wxy#vp`enf;4pRuqd%z4 z21vVCjkIf$aS|x9sU>F-e7~jfFvdhEm;OsEoHm|t=1A*0tt5Q_&L@^U7BkRa3&n#Ru_)*;_p~#7D<7{N5R{MLu#n@w-e|Xp=Yy!4I)Th z-T6k9io!n0Q5rGV7<#p((eeO-R5<`eFxb>A1=S)c9L;nof$@fTZp0@7$wks|S&8+} z|BdhNv#{o@AP6;`rFm*|-TkkfXp^lX9d00MtMZv0%V?+FgVKwJxAgOt>R0Qr!(?Nj z1)?C1=HA|3EhBa&DG@rztZ8P;(HQOe%t}|<@vSM6^Q+=R9L&&SYfzu%qzfcEZNV`q zpz|)~$k6QlMk8)djR&4h{t-AEG(lgxoXf-kLsF6gK>bORUprm^eC#~XFY7dmkG_@D z6qgGWL28)ZaN*`UPMt*(2E<9(hwMydD;BrAByu?nGGr&Vw%g+?7iVFFz#~52Bcq8% zJshoZ66J9eX0>B)aoEO38`T5E&y^M`cBA*KgSvn*an1Q*ar+fx;k@Abd$%hu7moI1 zGqc&*5~XbRix(wK*WMe0Ee1x zs{ZuaxB~dPD9o5&T~jG%x2=a+HIoBd39cu&EWOcq!qQ25EXjH4qA6nPwjq(TgAFc# zSiJ<>QJc%MKvJr%dBND)7L#rKmfbBSv23YbppX{@(;My{g?*>+K={)n(3xb zn?Q%gzGUX^o*s?1u*l-bSX{wk!QLOnK3@|Yo0h5?zOa-(RBJpumGcDfv$|}?S?yXEUe8rv>xUqb*Xl%`}lZ8>uSF^f&5kHGgRM#wvUC6-twd8S%3F8-@G|ho8hLFVJPLj z*4+@Q#DOvTRFaP^EAX{nBQ^Yn;|C7iIPx=S@^~L zj#FXEj5F)Z6?PSVndYa;CpgpggdBxmroV$RFmj?OT=^X?&H?+IM`Q^J1YB;g@OqPQ+hu_%?*uy`7ATvt_zs$;?j30zc<7JjVz)eEr`9e^^ zFSGvh9UAdboC?PTzs%Yv!w?AlSU4j1MG5&cyhYK(5e*TV0BC}m#H{h3gQBVL+ zH&oX|6?oGm;cVWSZ~=ds1YH9<1s69Cv1I}Qf@K;lhPuc2_lI{$^a%AVpKn- zq~=-pE|INlYKHxf}t=D72`XfE|S{JawEK4jO=>Nk>cQQ!4};=AH&>+Z>>os%8YSS56>u*Qf(sCWp8fc`uIwxZO`us7F|kz=;og$R2UJf$ zk78r58p;C5187@*hFf@K3`vdfnBOA>K0nR?zy%dLUEhHWg2R}mS%c7IjnLdalhPz$ zTyS{Uf=70}&>+Q?KXUSo8FGdX9&QzNZR7ZrjF^EmE`jNZnAzaLmp}#jB8VIiYj&5r zx*{XZ%kRH=!(o9;6YZR;j?Y&pU2}$?CA}woC|9}KIjmypqZhV|3}%Rq5i!iraBqSu z2kio6DBAEBQQKuAxlg4fgbZG`+D|=hR@Y>O)Mu${Y42r*FY6R3Rxg!HtG_67WN4Rc zV&5eUSZG2T!P+8K!l_bP!htou70IMNJ=`qx8&1N2U(3qv87aB1XD-&s{r?*T8v!n_#J3&5~9 zubzZ(c#v3bO+p`3)svSH2Y&QoUD;RGetX=%qp5}YC6mm&i&7E#C-nZu`@0>lg39!g$ zq%-Ju%#E5dW}EG0p+5m@cON_)nUkmv2YwR(^ArFf5&Zzrdx^!sy0sKF0EYV>V8Oj0 z(w7($QQ1Q(@bYAPw(2NoZQ-4$33z(QfaZ9@UDI4ZI)39v^zn%CJLlZjz-^|9@WK;L z;q3vqj?0Z?0w6!4vkS+4sWgV%oum?{&+npv>x9`>i^^ zBW2priaKG>Dw}*Flo)GjI52*th4c}rG1cU)_arWC?d)BFb zXai;@fk-*i1;B@Gpp8h}vE9*teTX{JEL&v3yrd0;_`exg(>I>-9GczD&mG?e{`yZ=V+& zI_0_J2Iq^la5h3#tBTlcT;q=8Rt5)S25;Kt#L@tGOb`A-6Rstd(R?R+F~CS)`Km9- zR^eT5AR6%XkJWTMzK?tB} z6&DUn6>jA2>XJz-Oh%?W!=|a`<9LzLcc*Qnvr1W4L{Hrp<$KPduc~QZ@geXNU>VjQ zd;DF-(ImgS5bm>TQg-9ei*!d`swO|KHZECmq~7Dv)#X4oZ<%vBWY<-4eQT?Bf4i?8 zg3HU(hD>8UUeLbVZB=v|xvyP+nt2-CR)d^nNBVlrCp~jI6>&EymjKI3#SZ)C?{?FE zzaSopFRbCfc<%4BCBTd>cj~<~kqrN;zq~LY$zbPuFZ@2VnqJVM31FZ6$dbNHCacnl z)Wt$Z_I_0q+iu#yK0Cc*`mQY!WR=jWTTCzirCHiSaiH!pz2_VmOBMH!a>LIvl$3$R zNMB|oJ*b461n)JI_UEetaRpdpIed?UtTgzdGmEzpxFh>Z!9Bt^G=>F#p0Dcff~@)@ z4k*}Z26hIAbpUU<$pzw51Ul+Q`ZZsYV5hKQ$Jr*hiOg1rfojTP8rteiK3cz7`HAc) zMuucabtn{HCjoJs(Mom3D=y!)7U!>I&fsgz!BfDW)0t?u>Ue3(?sL$x6LAiG3qE8T zn|}uVEBUPN|4T98uyvFe>&TC-(L58vu!xK^L$T#WnnEgh z=NQf^VWGO0GqcxHCj4Rsv0Zt2Zkrq1a521^mIj+PNoTUOk(YAuaWtVdOJSo%3A>Qg zq%>+7{+*1$tPR+9^s@z-8CTFt;k{dPq_cjq@J`aw7!F|!2lO0+5gtp+x$j5`71wR} zHEMzGoxr~h3@-r>T6a5tHL8*6W43)OZtEI6=un=qE3o6AlDMKv+ZXIzN=DPQv=6}9 zYKxnM^>?(9mEc+)7X?0D2A4!x_b`&f2RAWzMA!^?)B+6iP9DP>8-X+`Uy0W($KYLB?T}^mKPQ;E6kj+4uHh7#S64?D%)c`B@cXu4WPR; zxCmkf;iB_42;joHh11NYEa>kq|EpjA)P9?-B=tOOj0#{cfCN;wm->jkVP>e%irldl zp~2H}uC^zfQCP9pYv8_6*8P|6vH}@6rI{ZL74XIi#6tzfCWxd0LZW(7`#ls9S~#QC z7Fesn7xWHu&tTsG&=?mEv}n-)>=?Ng0h(zDzeTQAWJUg1t<>o+>VQV!U$gjyDupjR z{oR-8U5j|Q{7-bz!C18C4wPjmKNKRb1iw7y)Y)?yTSvseWnYKCWWVP60Z=Q*~??hKBwxW14U1_yBRtnhsqSR8e1VYI6(u~F7 z^0IE}Cscxl24BYNN+gp?1ZbJOD$i%#HhRXSFI6GEtHKxdytA0qv&|bIX_Pg5I7xqi zCA%i^wRc27!v1$$>yimi6eIf9H^bY_^K()U{`zg;=5A|7J zGz!Y7s5LoIh)A_S23&yvz7Y@*_O`Dpb#{aZvV;TmnCViy7s5ioD zLoRqNb8_GV#&9iQS99Q(069u?RkCc6s(w%cwJ!!*x@=N9(Av51%?<=|%nH?+E9}vL zfvexHh3Ds3@`Ypq@|WW=lwla;d4v&hO^YKpFdBwT!g1{jFo-zKZqYQ-FB}f*1fK3f zV8K+V>Z^_6ac?5-7x*tVV%V!|R!!224IVbg|SU5};?4%Lt$ zb2a=CH}OR3vKBl5Liz){NTLJ8*jsc9?9mJ4C+Ng5^mty3r?d0w91D(3LJ7b9>u=t` ztN6gN@xz=OnsO{ikauMgg0ZVC28>-knJ7hT;){L`Z6KxQI%2<(jn`ep?H(S4hPPhE zK7ep9gE(LO*Y~OfRSNJ6wp(b@il+gyUG_8*TA{DUH6p}Ro8CfIXdtLT^K(mZ?-L?ORY(Y z1e6Bw62=iy<$2$B*ff$z;g78k~G zWO4KikzODujHw2U!5MgZaBx_hznAlMczVCg`j>gnNTwy4T1yxPL`7HO-@+i zGDkNaTr%l__lT>l8S7=Oc}tf0ezf zfIZ{j)bB|d#%KHOHRp%c_=GJ-3M|BoL*mSFmuiRE*4DWG8G2T?Ug|QZS&7IsqfL#H z7PQcYpP98|+DTcER44_X4LA`b%8$JnrsHF1nxRdEf%#0E+GBAU<@kI+#1ULf;y3Hb z8Tqs=?9=m6HZn~?AhkK^@8aFY2c!E&A%1VmfcY%)jw<|PotTPJcgjy>7TvYjoS(bH z=0d&^TGu4& z>y=FfH+P!PbBDD0Iz}5!Ly>6$|FeNGeUjCm%_^>Q{KCU#E7?Ow%;~+k$q&~v2kuJd zbVw_N>a>gWr%m6PC-xFI1)ceQR8^%f_1um&)`-FZ3cx8?gclMM8Kn}6M7$D z51(m^bdGhypl$N^dT4Oi3rXNXp={aorwE6Hg7T*w;a!EbCzv3pRy46xABcCG}Y3C;yAdIf~391i&1n)|Ez`gXw zQC%LDU2GV!$GNg6jJ+>6ppLdnP;vrn1&e-wpv-~vNC6~;_C#=!bOHrev^NRM_h^t? z`|r(_MAiidO_6N+rm1iu51bnN!n(29d>JzMQQbPn+fYL`JL=O0&>#ZADThRXug|Hf zLZ1cyuokL zMC4PB|670W*L1W!4Mw#WGM)>t(T}+Op`~i4azIM9h)$;G&{6k}1`M+Sr9sn(2E;BW z4XVC1+hYT}yL}`DxU#=$z@YX-?Q#Sn7ASm+`q(%%sen%ZOe;x4W|1F0WIiOE)$srf z!j^2U?tsG-hk61?h4%5FZe;S4EV8gFTOCftmOdy@x{_5$`ZIhInV1S3k1@n`2Qu@a z4EN8<@EGq4vR_r#0vw~F30jRpsGUBS^vu(D=;%ki-=JQYn?=BK7^q^a8s z0&Crg@Ry3g+)*`0!3G~&{i5>2sc*S&6~94^s^SPszO{E{1!6q&tj*`BBnOnxD5lOQ zy%b2+rQ=7SEIE6vH|oqJ(pm(bV7T(=<%fJ>bR-XMW_?vs^}p&*HjOi~S)g5aKrt$9DutE`l0k#`iB@}B z3Az&8O_K+$_o!R);APfdes6l0*_^4TcoHy*9FC8-Iefki`>FoDGwQX+NU?k)HCuvV zv2f6exb}eIl+z{p)R)6>otOdgpl(=!B=Gshi@of?twcMTh(hR7AZnHs0xXo&tq|t3 zK3~XH6>-XxX)N*Yd@iTSfoB_<)Zolvxe>1WhV%DHdfG%lcA_(+R>J9h zUr_IKMFWn*(P`k(%V{#lJPi%k{2(cTQIZTP;Ya&Kw#E}X5t7+^F%KR)>5z&W`U$G~ zj#`mAQyLoX`q_}^KcqF5&w$y(lm7VfCy+m({24SuT8e@F@{Cv|tO`fI;?ZdJr$XTj z8^8pWy3i^ON1=*|7x?aPJko0$h7W)rM{#Aw;tddRX+3D3+va$X^I?UpkE;Cm`2~$3 zgFzpAJu)oVUTuK(TB&|ZDRMAy3?AUv`%R6St{9I)X;LX11c^X>_$6p2w2XprF^997 zqfWH`0ltS>zUiX^bT}^63a9H?{V5LB&0(rEtRhP9=LJA*oJ+aeDXL?|hyD4jzTo(w zDgcMZ7cDTgyEaHgGvfVMlZW3-4XxiRH{{SkLk)M&?6o%ry& zF1bxWs z5F`;b;SrY9zO~=(-+|HQOPjQ}6aMhWYO}N7KE87#9hiW-zhTD14-UAqt^3o*GYbvK zO)`S6f^VK|TH;&v$wG#FT1*f1?Yk9yEsYoS$1{#;b>4!J{x-KyuJDkGl12~} zoJR%BTZbfJ6k}(+Fdr~dTzNyqg^L7VotrZ#EjcF3`3&~Y>>IsZ8gaBB&>C)eX$+iN z7oqMk!kp+Oc2f@|Xb;I}h-n2@%3}l4O^1C#DNiD?wjPZgRn|He zydaPZdtVHfK-#20j}8cLKXoH8lRZSAIi?(Y-#mSO8P|N|O(idF#&Lkqe?Bq6DZ+!d ztmQNxqKg6KOuJEnA`uQ5yHSWB;QO4WrfEXCKzkb^ApD0mQu|2|J7Ms0rp%K}S%^S$ zE-HxJh)NEl2Y;E1_71>UAsm%C;ea%Kq5=GgHJ%*D(f z?}SN`L}X0655a3W0V9m=fX}B2zazKD1htzGy?7d zwWxnrPuwCPACRa~8~_kpMsM~bKgL;AhEZ(>^deWxxjdj?cpT)2(lP)zJ0Z`Z_0l-P zmP(`i8T%`Ei5DlRV))=L+r;G2HAHzloEbVKPEzW_FnqbJP?r_@R8J52sDF3NaJ(~?3WXac(cq{&vAA4k{Jd8D&b?g*X` za9aq_ARObLgaObIXo$rh$(!iBh?{1B7oSFF3;+op)#rR%l;#=JAtTiu&l!ec2KUMU z>k{&ro&XgzyH;d)M$Q!SaQUGfdGI7*)Qup)b56^fO;~bH(9Yg;V?e(;xNSx2Bzb52ne8*0OR=7X>bfmF&jf5&bSd~ zKJ6~q3%RmD=fWgLEh&2xWht%O>&p`bs6%x0SwBJb|?VR z2ky9)nywtPr8-*zxD|GK^0SQB$#E++xwh>14HyrJLB6Wz!SjV@v-SXd`;?IMf%u>{|PRxF}^H--l!0M#9p7v zR9^@heb-dY2~Lu5D=zi*rm}UYI;MoHJwe@>%XC22D~vP71E+0-Z}&Xy8_S2to2ENR zoQF1wH>#yZBU6xlaE;3b;zfWnn!aV*`lY7{lK@kNbd;~?wJe5S*>e=I|23|`Z- z#}`-Fc^$s6ABC{8u$#|o-0!~4?kkmjtWo@#zjVyk$J9>+{Bx+E{Ash?6^MGlL%S^j z7J^PlR(g}_Fp+A!V-u`pQiovXIGs4B;&eWgC_lkCNz#{wNxIrBvkGM^`G6r&Yzy$S z_9trckTI#WQ+qgb;U2HwuI$v0*6?5Gp^q1wfeoSElj&;was32dwXQCE>OJkv0t>Eo z#t5g{d-`rb`oT)~tc}uebwH%p>e)dX)re(g0p`Ult7parfeO5$Exj zMxzuS&Hbb&F7z}Olc@*&yzp#U(%OQ-?Qv4u5_dbeqG)ks!|_!>-wSjdVvCfau@3&s zjbEslUH7GKNbf2VtyRQ(r6GJ>iD{5YxEP4(G{)q93e488cv+=%twzCWjS}$c_<_{u z-~F{WZ`f&d^%Qzs{PlVBgcyy%7YE-P4(hGpGIq5kRt5NGWCiO3=n176XB<3QaQA#c zu0UKoVn4|uE0__IaSpj{xAW%8fnZmgXBe3!u?N7yaLy>kS+qm1-INv9xqT=AT`i*t#GHU}RFBsJDK_Dew|C}0HT%z7l+8XCc@pq(nE9i;U_ zT^fKXNxYjDim&~or{gq5}hj>b9qB02frkS`l@V>p78+p=!Tg--=46TuQhrl z?g^$T01-FjNnfj;=`HHtD2P(HlW&WBHQ@^A{m1Sg(F>WPpTYCr9!!d|Kh)xGY=B$uOLKc;V4{7w7O&TQN_(}ilN~ROF5!V||%19g> zUMr}ZwRq1@OIbY1EGd_hcn@y!ncNtI)k_D4uJWn)sySc&vZ(fSOXs|IM zmywZuLeIii7#vY^08=g(L-x+}VfgZ>rM1%Nn)9AX(s@Div@9@oAHwuAThMrgIv!QP znV&x`C}LkhpiLa+Wu%KThGf$5)cW3M44;m3SK#BL->I{*sq{qRG0y7!@)4He$8;h; zdq}DJx}SEyuB#gCo z;q;i~+a(jLHM?C08oZ81z3}BaaGD>$a6$?tj85-GAdrco} z++K9r0}u;r^obSG^7xVxE-AGU60wk%s*$U60ciIMc#ZH2VAo;E`T7H#N~W7|HhoTA zUl`n?@FUs&%K@~LHiphP8}Z)7Af14E7W7{~a`T)F)Qtk_WJ_w!d-!FgmxJT#vk6Y| z_-Jz?z!65~$7uN@?yG(CYixvrkxSW3LkzyRF-5YL0@%7HL8=pM`&@0C&ZO|1%%sS4 z3Yt|k?@b{9*9BvSAONqV!09spTtmSCUQH1(SgI>1z$+=j)G^JJnTFJPaj(HY{lRbQ zjt~p~b_R(}kpqT9^?*UJ&BrHI^@YS3I5%J{IRoN6F6({(FEp~_86uxyD&%DCt?$wd zWtcw%#O#|hLaNl|)+*<1h3nR$@35aH5ow=Z4xCjl446F9b%4{3kb)DOs}2fR`m{L~ zMsz^Sv52OTd%(YzgmpBifNKJ?XUhSkUP_%7)+E~o(ge=0@@h5lSv<+VF zI><#6WS=_b(&$sgy8eUr$wT=QYwM9%=rs4OP@c|!TkSg%4$t}%i_XYWjXtTyq~>q~ z>ls4BplO?PhbT7MJ+EbcEUAUrKmpZ5S5%vu3=3-Nmxe^y7K8kV8af+Vq(X!AApGFJ zYm>WPt@Wj##%!ii-FTQ9WOOotDK+xpR?`mO-HopRp z{HG6aF7u%PdMk1>3~6tu{T_9GRBU7;0{SgbkI629yoBWW(WIf<-pIpSEiaf2I+jN& zM_V$m4wc+K7tkS(rA$2pK7UMPBqH^!JF!Q43$?lG_dUSvoVR4YpU4I}${-7810qL& zd^z+S>3uXTS@z%k{&zH?I!niF+uB>1RKc9oCk}0T+1MCz`G!pCzhZzzcyvz2O z6I$jd7ooECAj$;2Ha)h**Q~Z7OXwI5vD;l1e?3dYQJtHfVGrlp`wKZ@38^|4av(o_ zK6gDwqJ4d|d(f;Qvv@sEDtbK4S(@S;E46Ha@6ePw3ao3kZBZ@i{7HiTcQVBVa?CEy zj=@Cgiapcaso~vbc$W|FwiX`%f;S-c99k}L46sKm1MO*zI-^;hSZ7vcONH(b47H(k z^@1QPGAi<0&aPBYf&tOjX@Ndp2cLln(Asdd>70YAw=ALneH3lg9SDA!J#;Xf^tJYd zmMbG5;JZhT<{%@P;|F%|J+lEoNA1&*N|qnWEeDTDEf_4@KJ*(SL#`o<_rTmz%*na6 znXRdFc5U;FFix5fr!$%3szm52014h>g(9<|1$JCf8Ch}xOZq$l(|61#jngmOUF}K$ z0NXpb%C(r|RdbWdn9MPgW$!`ds?HrpBJ9P|>CQqkEtZw86>YycHE0L#!5)4)(lJ_C z!erV~MOrgx)F8|To)Kdw2_`d5^|m<4MOEL{IzKLj!Ryf@E~7u$ILxaXP!BeOy9H2$ zO>@QB9v&h;;FMJ5Ia~lY@H*o_Wdh2Q*lQUKr`NL9&kWO*u|X$&3fLPi6P5#|F2z0OXzD1CsHh|$LgV;A%g zJnYf^Ad{!I=eNuRrTYmED>(cD&_xNhI4TQ+h27CAj+Zqp>~wW=1+^QQ**}jy-(jE}%tgJUQwvh=rFp@B`b>_SRSf0z53V^U59so%_T3>i`kjIU-W zZTD_+KsyvRcq)4VS$Lf71lM&Of6R)2L#u7F!9?E_%&OcKG#xH@0>px``*g*8UyPAz zUlb_^1%%;g$CKOGRNzDkqsk9`R{%E|CTgcnJ@r_11C-aS4nua6+W~cI@mzqnnx3_h z^kbV!GS7nRcz3I4j?t6Cl+{O2w0Oyx;7)hgaB3^Z(L+-j{>gct1xEh=`|JPeZoa2? zNC>*%C_-0eR-yxp3_t)QK#}fDQ}?Ls=BO~F`A())H=r}xyMmEKaf5g!>%SZ>5VHW} zL8;ttPp{iYNHEV8K(KVBRDf~am-<-jcJ>LOSEM1~y7WcNtyEuYyHm_9%rY|Sz_uzE z{j~Y$Q&G*KNdj>mICX(tI1{M)&o$dQBlet_EuzgPZQl55}wZG)RM0pfVpAemV3hs*2-zg2ffDjgY&#B=?Ph z>b*Qf)6icBCPP?%chG1Fhmg8})GlwqJOwzte z`hpodADhQ!qgava^yR*w(+zs${kNn+ibPVJLs}uxS^OxZZey zD1tpi^#i?A3tL;%zjIR+rh+NE)^5~k(~ycGHV9*|&@-qjqniptIERM-K&S?9*TigM zv@4DQYlg?pK*2*hJPab5O$ECsh`FMr)aqjFN*aE0dy#;}|ivrvi zdR|Kbi%?8k+LL;05QstT0dGs)VMkRJ<+i~w5vd*}JrC>;no0{P+mX^FVXsVq~HMCsmz3{KDSttYQxs ztKvlCP}z?keo=EWk_ED>G1;b-;Noih*>esbepYo_~934ELyPd zE}RbbB3{wP6;>@i+HaZY{7YLxI^Rux=4BlWFtX7cn!fF<4o6>bO4=4o>4*ti z0YMBD@6PFDzb$L9$9dpKBs+i!O;Zcescrw^pWUYnbV|6w#<5lP`{so-sl#z2zDIWV zS|V2x!5iK4tp-6AU9n6?dj6N#6maq4hJp3@_XH~mc0*gxy3+AJP!;Tc!5azmm7~*^ z3LbeaB78PQC2_cH)ALC#(7wAeKh}US@H0eQSHKiU@Ex3^tcf$8&O|$PLCexpfdz9+ z-WJU7ZB4lbBm)ln811n~q`$pm>(_Jca`I_IAbC<8fE6_A`}~5VvbFS@s)60ym}yjz zxlg})>?AQH``iBtvAidSKs51n_1Jq2p%WDS>x1eIw2U#;9dZrDnEw#I(h9eLQe|u zX7;T)_7Q(wN;WToJ9=Ki;&3O;v}n(r9U%Cw@gkC=JI|A2jm!*8uu1F%=TrM;^Y@Gz zjRuSF5VI4+Fv{`N?5M!^hl8Xf5fgnB%*Rpf5kP)l*pu-zqzGR=JCefu*_i;E$N-jm zo&+EG*g@f^(I#ZPm47 zud+g04lva9JB1rF+Gp{}-f~!fVcfTwCC}dFvW=`*3R3rw!qMTj0Vt;SBigD2rrL%I&B3yn#O z$V0{+OB@c&i>*YYZVDg(Z&XDZM)~1uPVWJ`1E*LXSk)t>_fjjB45z-$ab+sia9Om= z7$m@IVxmu)m7t}*H4JW6;D*U04!IsagofbSWbhD{i==AXkTHR@0V^~aG9XwDa=idf z)tt6@A{(R8bwEscjJAy(+T7@$3m0lYnKs=d33n2QOQVB-L@hvd&H;XwH#c3wz%&zF zzdiH;K6-W>uAX`tWsUQb$lhx#MCc1dV{e-2hz^OqPWyKSWB9(sS|PJY@np zD!#1B9LBJe&us%oD~y;ZrF1DEw=tRuV2xBfngYa)BUz>??XeUia^=HMx8<`blRE`b z-)QL=kK)5K&*`X8(h2(f&?6m<-wc>H*f>B?{v$iczzs*%Xz`4cJ#L`@N5En|K)=Ki zpyy;DIE^Cfw|`Ch+j*qi@SU8X?t+PZ@-b*AkBaZ`i1>f?%=AY8-Ik}iu)Ci zGC0!@sD}TmR)ZHN$s#v_8nK8zA4=zX12*0s4*Kk!qY+cDLJfh%t*pUKL?18jB~1FY z!pNe)o!|w(T@=mb95pN}c+1t2fmXZchQ+=1L|svx6u(8G;cH2AEZ_X?mbBcB`goJ9 zR%Tve^s0dMB1yT2FVYt_w46<`W$qMtdKyoNHS|Iqe1hH<=sPmdmdR0m{A&4KSpWmZ zKHPvJ&e96fJqz8~FIU8%Qj?GlYWu!qGCCkc-sD8TIo#K0^F4D7yy-PN1$8Y>4{_iQ zfMvd4E&u?{s6jNKZ~D5PMiC8p+E}_~cfo0*UA!;y{=&!e-I))DTiPVpv4loFX_Gxi z%C_A`<(8_>aG|THncq7-wq`PL&EKr8omv+DD>r2nSbp_`I$l&>` z+7mp~C|h%uh8W&hJ6g+IHO=ForgnFLYU|L_SU1)lmle&J+oW6hHWi&XlRw6-r*$ZLY5%)5-%`WVx*QfgI{yTrwQ{yUH+^a(i0(37zXtJ)p9w% zX?Sm?;Uj7}IKy$?NiPj;9!T>>D|ur#N`qMEMM1tdbU2>H&ve(^J$RU=VL-iZf;FXR z?ruIL_!0i2lrFj>b6qkX5emNS2&thiC0&$~_+F6uZWy~dFHUEC-JXeVUUxn3){ST+ zWWe_TlvuG*r2Q_(Q8Lygn+v$oB8CMI_jGpM(-sAkfOkL@Mbxe)Ftge8fR7aI-DE4c za11@4&$9&daZDtTM@4TN7|#8cQd63DU>pP_9$b{d$ z2jB$hn?Vu+Iw+-Ckl~CXNFM?th~>D9EffKu#7h9A!r`moLt=IPBoP1`fIvi|7|Z~o z{D%mM0ICB0pJoOGQK3mJKYP}ur{$MK;JORpCr>1RCig=`A`&2QxG^+7l$iz(sV+mfv(;-KEyA7y zUrDk!aSzL^pC!YqGS>bX6bhP10f%OAWGT%R45+I;dm1K7mW4-Fm9oDA1U}P8?tovZ z_$IBQ9koy#N{0n~D^X-X2w%wX$=bR!Kxqd7H0^85I1VSL0(X)i*#Hp}RWcgfoH!%G zV(|z&!Q;Y(*O|Q$;r@Q^0qxe3Q%EPg=kq zJ(D;;kRYjgN`kJSLEa_}KdW=L$QoOQc2R9BI6Ri!nP~%7yUmLi**y<-9|T~~PqIyG z8!R)qOtQ`aaXbR0!*CcWP%HC7X}_K4&tMmx)D2j%3L4<>{_jlt3giGsK)lsXVo$vP5P@H&wjabKntH_>hh40-Y{MH6e>;}?H>n1Md1b%k9<^|PdC?{a#E18 zaWpe^HcO7D-XAHS1i6E7_Z=`4--|}7^-x_#Jd}o$AyBW$QCb{h$>9<*DIpo^9&_Y% zWW;;=G;`qfgL5z~e8;NL2VBPI=~&!EdIDT0juyv=Ve#H9ve`*+3Y89z04xUm&BQXr3M&(EZ?63 zZOEyz#+cB8!f@#1aMEPq%iWxLF@voJIM$Ft{K4mmU9M;o5s|(-2=|8)aq>r^fHSTe zK4nlX5gBTcp)>LNbmCObN3{r?9*!e(Z0}QZD424ruZ`>okVH&|j`I?c9nWMl5=!h1 zvWHQhO+~-d8ZiLOJdq!3`KgKWccM(1@$MjaVHfcC|$M*9iHK_w(r zGMnN=xF(O>9RPBm&YJ-vf*#1t{B!~l;U^}?IChN6;EU@pB7z`}7x)m-3q5s}CnAkAj;P6h?{B?K ziKDl;u}>CsI}%*JMt{U%1`OIgI#(|;hf}(f3Bi_spVeCyETknv`vK+{VK|c6TV#%2 ztf99MYjS&IZr@$0q6C-Ux5YBAf6sR0uVf8ZvL-J*UAo8|4VlNTUnFt4wN@CRkk_B* z4Ohgwt2|Kgedc&Ip%gzCo7`viypb{aUSmaGsC&k(T6Uw4R_H5;;!?lMI;-Pu& zzc>2WI$SeIkYp`0qm9fbV*7Lm4+Cs59*cpjvo;g{aj;m`DGRN}= zUY~s4+89ahb0;sZeRoft-sjF%YVNJh3}jAbnSFnCC0Xgd>^^U}R)~OkEIPuy&z!C9 zQftepcb7TvURrmTk27TUtw|uw+Avw2X#RcfXm$Nt>wUqJn&)2c>9w_&Rjx(uY-LMY z+r6UutlmnxV69jVpjhM$UzpE#nd6nr@!D3nx)UTTxwDl;XstS&Ia_q}`s80*K3PLs zW{*}U*6KhRX#J-7*Pnc~O4(Ze^riiBDOhOsB)jtade@_zY)H z&be>9LeBGzj?TCDZTZZ^+t5T#3YU}!WkJB{>5SXkLwRZ&XeN`?P9dyp12?Oq>& zcv)n>Wi#R($KJaxMv4uB(HqylEjJrb-!V*5nGdWnIG87Kf`?_WE<*_MSs;!TJU@xF zz|^Vs^LiOUo_}AljN|}85`F!S$plQjB4-azjYVZVc{+w3Q`M&L_yo*%lR-or84-Tq zm_cI~@6T<)s8&zqMPK^fRjd-P@1l~EFvtz$5rd&_)bm)9E)6}}M%i5cgooNbH85tqKIHfSbCJgD>BW z#;)M*0<8_rR-ENtS{j%WAkPfVY|`7T zu`zt6UG>KTbv9K+=n*Xo<1Cgj`CJxzz^=SyiK$HFp|2s4lqnuEa=2LLgT!g{@>oa8 z(Um|yfb;Nd_>7eV1LMd)z38M>vGWPUbq$9Rr6oW1H7$?gcyTS^ML!)*h9Aodq^sEN z|54@5rqey8hp5X7P^1NV^7K4|7Bxi_d~+j5hGC)U{8NWka+0lyYw2>zLd1t^%R?ZZaE& zFy=vSv$3~jejJyn^qZdkyolT=enyew+;3k#vQ~&ScF7s^GMp9S-tp%5Lbm*|NZ> zWwI<_(HXj~!a~z`GfC4mdTr6ddYVT6KXLC8>&mue3ElU}6a*mAp;es_p?mM%dguDa z|8u0GT1eHQ2Z#cpRM-yNu^o2!#b^6?^OcaGI&|pJ0&$fkK_Vqml2Qq!C<)cc1lrJ~ z1x+NnK!XNz%(+&?ig0+Jb9pa|_c=Rk$C~TE)|_k2IfgWB%$3gjJ!untmmfe^dEK(7 z3VmAKYGu-^H9j8KW0H}9Z+Odq25_szX&r9JI%D?h>jz!3s;EH{Hn4DUvAiH0CjoaL zi>GZ#Fp6;SE*qaAS@p+IWK1;pU2hIpS7g9vA~u4a#MU9S|ys5wN%i(Lzc z`YGc=+_NX^z$iMPfkzFYbfs}{8lVn?%t;?*v;G#5ZE+!uu{cSP|E9(*@FN8REVcG; zdobnR)L?hV!7j51^5BkIpLXC$)uM*5fMGkK<#C;t!a@vLUM3R| z=F_o0l=Y}EOvPbK3S@gqCM5%sYF(cTap%1)Y$3tYsvOLQr%V-44~8HV?BKF7nacBR zE?OA#fw6S@!=Pl2L{BRr=T;5M$qaPIO_L@E@5`!t?^GHVmpatBR9o6J5qn@aeS26` zzucvM4rY7(D42}3;JHT(=1 zvc#Kd*3#ks^)J47evd7C@kB)|?MLTJve(B;3B}@jWFJYw>>c~*f%WN$3iQ~xjvl4- zCFSBdu=}utjzK9zb~}dKM+a%3tbop3j(UQX#XZ)<5~{0f%}xJ}Az#O7n@r4jwM-|9XZI zDL(@eA0gpoQ?&?mrDu-t1T(wx;NhXyS^yhpc~=omb?2JjSOEaoJovjWfuh69HZ1asYr_+OEXK!fS+GU~Y1&l`s!D<@Y)#C}OuAz)d2CF3!R+tED`2a{;TF2B_{0 zhHK7GI6FckW%I%E#oo|mE^a5%Wd^x>ED3cBkQpa|Crsvl-9VIP{$O*-b)jjtu_2>t zXd7N^BIR%+1C{$bmgWc+n#0V;Y<&qEH>-ogofD$nilJ)-8-*1Chbh2*Moa0jBenUr zf2o{aXvC9N(AF%ZhV$X*N7{5{s~usiuD-y#flL;g)(j3_?GVs(?s$wyTILY~E?*<- zBK(v~xX-uwt`HF}j*s3EaXsXnC~T-$&D#nsYcyML#VE!jojLuIlpJ)c+oIW#X-7M1 zwRMF21YEaWQ)3+) z{5`N3*7X)d!TB+_k6;KMQ=$hm$`Bqv9N2D`P!{Z6b#odf9EKlb*VQM|N01_O^dSYU zHTjm-Sf||C1^hTlsvfYjs{&ijt?q#`a{`NX0c!Ul)08_JdY0i%7Bgu1#RK+6Ie5hH)9zg;Pp zVi~D+rxL(cjvuAWyc=WjFYG56z*6yNOTT3EVN}6q_2)qtul-YD0rZkd34lJr^iWUC zZVz&b8_<(LQ*3^AwEI$$*&U*Y1vS)5!daDu6gGh5oKXOK3jyeQCV?4F0d}j5KjDn9 zPMb{+9DXYGDB}c2e{Rc}kaS)z)&g5mBg|)n65KU$93<1!s5^(%JL41ST_ka0tWM@1o=Q%gF*_1|^(|O8&olGx;Lc*#OCu08O^TiD9N*qr~f2|E7 zhHci*KmS?nJkd(?%q|syLo46spS0Hq-|AbhpZ}yP-fU9kTB(b8O40I7=&94!mJlQy5jG3PG-n(U#yFbLrqn4KH$Uv)+I8dJp{xd zLI{Jjg-ui70wReIG%;}zP~!fHj0ns0B0T}Sy1bBlouT>b2YWbO%ezBW&^&2vwWgCU ziaI8~lmZpa4RKaIPW+g<8WCG82E9l82jC3C0 z`*-=+73-?z7-s2=@kqI2EC!CHrLhf4XLb^&ovRf1ADq(x9>F+2CIuWA4O%oN{f>HU zQ??t4HXcs06ayOV9FWYM(@~}x0ntbo)@j-I-U3b#6uUvJ#3ewn7{MnmCFwaVFxB0f zXn{bl76H_5*1tq!S%t0ba;Qc?=tj@u6Ac$qJ*M9=;@<2#vMGR4j|CopbpnvhAbEf$ z-NUhO4?m)##`o_2IMh-D@2{BOr51TmM&G{{iCXkOd4r*%3*OGG{=k08k(#7jos@`<=g^AzgGXKOt_zQdJ< zKBvPoAJp~tCv|PtlY-4`1VYuZS#S8(j@~aE1uj?MLIc+*xXQCjwunC1FAeZlz@G+; zKjD3PlzRSV!f%4b=2~{$iS|OiK4s4h1f9u!q&DD$ma1#jTMWM79O`RHs{omir0(P7 z?iE3AG-woG3TH4YubGA`G|iRI%ntQ-UkHa5i^$LCo6XEDl);_EX_A1GpfF9nX0ShC zUEvUI%Lf6|xBZ`=fj7_Ku14?X=;|DmiO08JTWYgIUF?*AcM9<1uW0##;ZE8S|MBHd zAb&#n6KUr~(oYUJm}8JzhlvBr+-7ul>Q+Y`OTt5hQOcPfh4jg)e9PBGcc9OV!HE+_ zP||B}G4q+FaI#23l|8VP-cdlu54S_i;_ z2pN8*?F~FSFC^+k?C2A%80z^4ID^pAv0+u)J~jDU{aTW^lbns-&ZNFEgaYCZH%77O z?~OC32B}H~z>o7V=tWfO4Nc)a$dkwf4NJU=Sap_M;%A%2Ck2r8!%rK@YC?)>#bmPVQLpt3z&mrc1*K!ZiR4jgBQu@-*QZB z*PZ#4^^TqVukg5HKcM~YNOqPXLS5Qw2UsT08~A{E5lmKx|_s>DL~2`ADt z0Iw*-zwt{QyAB_RrbBEr=@AM)PCjh@=o9TP(2xq+ST=ujv!D0_p5KP&mfpEsPV`1& z<9!;-z;8Qm`J3C_H*eE#tQLnW-~}LYEiLrhFm<+B?1XN%!U=KWuMpfGrtvC;W|*up zz&u7yuyWHVixMYVg>eRuZ2(0;y1&m`xxVYCnT4s1MdJf-oICY+&6$>V-_jCVxBGQK znS}8w1OuEOtvrYd{S`o(!ShL~wo6~SKK=2-g#JxKpG?C>Fu+8P`ed_?9;W^(3UF(@ zil_!r9Ihe~ny!E)wQ@t2))xA19F7AlqX! z@KpKf3P4b+5C8&xelM7MYM7Ndw6>TG8j2 z?88vX`Y5S~q&{bhw)I?eLP$-UBz{PVvv<<^l5NO{Wi%MkA!wtRrUY3qUh+=b003dG z!!T$|VlbNIr_~C7!D|Kp&-zB(1NyHNm)ZslC!Pj^gTx%@X$Ig+W;lJ67@!=Saf-~tmCD=;qR0n1C;Dh|8>@#@mO4Qo*#d1_ za!fEB(=-Xdj_E&4ngRI@g^f{JG%r;a_GOTH!1{}pQ}VH(O6kj_@zs1wJW3b~&*^FH zPio1Adk}Ln%x&LC>ta;+p_h7Wh%YDebu!Ko9qK12Y#6&<2q=-|WP!A)DkO%zEF`X* zgn&B5)LzqyGgd3q8F@pBc*O)+aYVfkfTn1gBGM_i4`|gSvu}mL8zm9-%R-7+r{GdW zEPe&}&A?4lm4XQfNY%iVZEK`WfSETm1iCtKc{Wp*g|rQ#{g%?&lOlLhKlv}XoUu+~ z+s)i4b7J&5fPp)Jx?6Frhi+&2oKkM_<}+0f9% zS#4?;ub?I*m4088_FG=vYACA%gcaleHznh5c)r4NrVZ>PEz7g-qL0uxY+V14F-@u- zwOH<`FH6@8oM!P5{4?1aL6Q9nH1YA zF6XM=zV!{1P%=(7w8R{1Go0TWq=p~EWbqfz`$&^h^7C|lk;*UgRd&=uHHVkywXO`= z7q|-Rn=#Bj8ia-){bb>L-~AXxDl_UC$t<2`=Ch+_4g#zCQoPX*RJT1;7P-2=lBKiT zjlyFiQ!iTh-uFI|5|D7FZlW?xrkMs`S;NH0jJB!!?7FWR%@dSX!!~N_v?~er-4{(h?j)T;Vr^p;*Mf=?@ufW2C zW5rJ4Ya}A^y&{@`9U5K5y$4BQd8CaE5CiI!nlF@?EYpdh>QAvehFaf2YY20(#B`=EU%Gaw5kw*LKJ&_V$Z8Cxw1 z?HOonG*C$qIFz@V&)+u(AozJvU?2BR`3BYD18}>J#m(Y#W&1m3hjM`0o7XhT&19*M zWPI(4!wQbR;hRZk1Z9IFYw_)j^9FiM`=u-f31oCb0<9VOTYk-%LG6M&+|=fSLB>6_ zln209RfJ0f?6|Xr5T>PXCSX!A{TtJr@{K~0K*kUAR8og?d917ag?6jI`iVN{6%!==YR0cH`FvBykvhDXX0Mp_RS71pMWk!(5GI~TXFHWR4gdl zvwbTeETCa?h9h0Ol>nUfbgRmO&#^CvA)sc;+e2=@y%r5^OT02*WsSv`py$2m2fM!r z-}6x5vyn+o)2aJJE8FLvpklq*uO%WyYayG4(hU!~!Uj8e#n82{rFcKbDktP9bXG=H zd}jy$o`Z_W!Bxt`oYu_^x0?syltUN?=_co*tQ0nhWD^+DgP&O!woEIA6MietIj(Bi z|ArTrNY`VM!K5b+ays7j$NKg2PxGdM$8Ra;uu#%z%t%*Yo->xiyeq=x;?HscmM-b^ zb#>s=FE|o6ILL1ESJ8!Sv=PqwB${7kWRwx+=B|JPdNUS(css zLORHHEA*^pPv{Oe8!Wi5*QC{6a9=oYflZ&sCc~fbc~T!f4fuJ( z>?KD?{3WkWB%}d@7Aa|6zh1XP7sdSdiGd#$^1G|+REmUXGq^FI%;!+t=vP=v-DFZ? z>;-01@+rlnd#0il;TV;^XobX0aXk*J%4C$yi~e9nVtAE&t5jCyw(h6dm=ovoPdsyI zpoFR#oZmd3`yq^b1=^EObyXhW#7>5`#A#5UzH;ksyR?<&!ay1vET4@_{Nzk@3hH&N`Npgl^#wbgHVohRMBU_60cf8O%7 zIQ8|jwJw|Ex}cJNFvU~C3TW#n5C5S}7;Yz|x(uv#a`#FDp0-I`d%<0ww2&-~tf?e8 zGl}SK1TNep34%@K3(Z-uj%7ke>I7=1soxJlM^gFi-{9rJtCH)GzhdzrX8 z#~$dBsRv52AWJQYTsYJ;p0AA6y4aS*9}8llii=+-k8%Htnlm`^-SG{ zz=i@X8vw;C z3!3jWVOzJ>=-q@MuL}NyxS1>1CvJnid_$!O1Bc_ev>f9_`)T`36@f<3 zgGGU-0<)<=^UcQ+QytOE4Iv)2@K;ckhnEvP#Q9!ll3O^VU_Q?g$zA!o?{qKb6gOETqAGge#^&S zwnV^FwZn|Qo0K9P*xzZik$P7x6~VnLLJDwP6jzr6Yth&dHaq3ho>;LD28f1{y%cGl zAqsn6u*lhyx(U6El(H?n-uClC%)9#T{dZbFRj%&3u4MHTaN2tQ`QO7?9%RR3;iUT1 z6y+XHQztbJqG%O;Ypb)glYNAn0_}&~F(LglnV||R0%vVD&Ik_qbz1!(U6@zq>yK*> zh{wO~+N)~ru)NBEj9pZJ3tN?}2q?3SEC9Gkm{vYhKp8d;A{Z|CepLGYc{>{r{z8iw zGN$cu`~yV-%qNdR0IadI*>RYiX~!c;uyPcgy5eTtN7Bf%N@0Nr{{be`nb|U# zbXnM{sfZ!2)A{6pw!wmr@8mPt(cn-$+1n=HlQr!eq2(9(o=OqHpTRnkDSWu~(Ei(^ zK5F5fz+E|M2H|~$;|sjD%}e;YRqCzzR&0KeB1 zpdP883N$T_V#_yDxkthFhScT6b3(Gw>Vp>EMgX}~VodoTB(6I4?I`1jrJv3>J z1a2=D>9i$ow2tU_@FggTsYnDF*rUb}|NTee;oy>Smu_qN_Mn;~(!$|*>;;dd>u((u z1OOESqkht#AUd>YAlmFHKlW!b;CJCx`u%akKfKfWPszGuID>*m|4Yx+kQ}%tQqY8jt^_QomQY20 zzvvl8JluB=wU+3qv(rdPtk3KIIJAshr1IAb$*l{*efk#E^I%MlU`rPwT{%$dS*Pur z-g(X866dh@MLL#^RK~WGx_BaN)6`VQBh3)0O5y}kG`ud(t>U>bHp$!PKT*b2Ju85E z2?f|Ub=#gk|F_V*Cla`cip%9#%sRG4Y_mR%MzQndGB7zL>X3-j6Fa5B?<)y1alv~(eQGpZyke&xTK$3))q?j+MnfA=Jfqi+ zCmvcLSY`Jm5Q0*gICBHvV^_8$wAa86F|+z#*|pc?A(tMeGHs~KB`o`ixA68^f83m& zo$huiSi8n%*4pFK^-u^!93Q`SHOD!P5%J&U_QwG$j*lFK^ayV;r3?Z+IB*42$xSN( z1No;CVfi>D0k#{^C;08wE(C1xS@i1=-a(1&W&iLWI9Xr=bg`<}V9LW4eLevH*_W!P zLIVv@Y6@ddJj%I_PV~`Mj<5QX42L9bi~G8s&j{OGoZF^F`$!r8m3L z=R3h9FC&xqE|axHi>W?Z_tn0T4B-R)eukh7JU-4Vxyx(c=i9sj;!hLva{9%lP( zn!apjE$M$W`YgBpXAE)xvrGp;3LjI4NPQZn^`UyUe23lZHG=4vpzZ2@w-cB*O4O8OhSrxCNkbb6 z*v4?mxOGHdlxX{w*{<_mqTLjN#uI<|!9JalwrlcN9HG+ALIymgR~epa@MOP`<$cAC z8yG~NuE;J>R~cPhTw9}n2kLq1Ko0chU`Yf4KAp-f-2PAb3yzob9O++fO=+LY;#5+0 zv@`HUSev)UyaS%a8n^XhZpRYw6726u7E5ylwoyx4>M?%R?bHQErW?j&&TQt3PfsqR`iFLFZB^V zh>DF>+65Fn9NV%j*9ZwNy3QOe_wxUhU#SxUTDA&~5xFS7Z*|s6U%*8Pk;L?9Av6oO zV?`ww4;k4$PMSa+iEN>K!q!K2wCTCz1y)#|nI_&NYx8Hy5V63w-vC&xkwO zau*g=BTR!yBuyBCDV%Ze&WJ#>{UNU;0)YQ8ghK1z{N?X(lQBWmgtJ;%y^;;gFgvr; z`Pm_<`6izSrv57VRw6uUu|>QaA4z)2D)@GmkFOnd*EKJ{lY55zd)Nrhe&##7(`Avp??cIWB3@>>C z=hdCSyA$By#hJ)|p2i>3!fTa)t_2@oZz)ie~X&J(yCc7JJS`(vEhzp>*K|3voR zq?zG6@Ml9JhQSt|NJmA#Ir1j|6PvFG0{C|=%0}-+iI2CEQF4e^ecF9#o7?T|dQZdn zHqL3YC@Ck19QIJ^A}AUC83DhCqNtW?khqc=lEp~oaKX7l+^v7zEj|Iz!2 zbF^O=*UB-S=8|BjhPzUPoBM-~xw!|7)&k99q#59wXQl&`M;rJV%H0Q;hKt|MZ zlO#C%muP38#V%Ig8(VEihSd#<3v3D9e_SLfm-+U;{0HBBgE&yqJQ-M>uMT7o<+xPl z&l9)hoLy$2|KtichGCG_q)x$O0XzUuooT%sDQ&V8?#YK@$JjbFShl3P!ZJ}@6!80C zYC=-@7#`H zQ2ZrxG2yIq3BtFP4+uMgtLEcwLqgpk(KJ6A=TORMRgqMhWUE=Q!LkvC|T%A>hkB15yTt+5dk(!=)L!IQwjBs2o+LYhAqp zW&U)*k5@k3OpiKFw{OZ*OXG_B@vh$@XI&zk9iA-X zSoB~bZ;lrR179AG9s+t0?4Pp}`nY&7;}qP2s^Zb`SM|MrPh~w9JD+x7J)OhvX&Bg? zmKZ<=7?6D15?Ipp*)o_*)uzr&%u1B;>jzta$}=CHH)Oq$_9$TJExhe+6G;aKMi@Xf z$pp;HM&`~ShioS$XM7)u#U4KSbBRJCJIc*BWW%3siv?U1to-s@-1!%sg|jD)em4#- zmV~9ay+ zIAH3UEi0fWj^Jb!^UF1L9~ZL&7?vvK|ABKhDC;!zc-Hdi#4tGkp+QZ&h4X#e7E-)# zX~gVd#$_ZNVtca{x}KcV*-Em*;2>~Z8^{n|c1JQ~6W32+s;|;-Enmf` zEKAT`p_vL!z=w}X2@E2D5RiElm<-zwq?m6^0J^ID6WOJa8zG`QgwerFju@>~37hs& z&D2X$GsQ$wT;aGGBt9Y-<5m1EBBs8lrMP$?M2Fjaum>WKn$ep=KlTAD0FRa!9#Eay zV1Ll(C5qA}e;`@^`oY%RG4zd-dANwX#VhlJlln;(d4MFKN@vapdS-9?>T%bqA3u;P zO!Y*e%ACw3FJ|Iy7WQxH0e`ArOBHRRz^E9PN?=PEQ0NT5H@APKKevbxLU7d33_&`e59)LnXgQUx;XYyNqB$WibAH03rRksBX z-v>n4Y8e@iyJANpMmGyM3ji@(0UZcezc@jiv@8oTdKd8gN4q=ZHrw?1Q<0$V80_jf z$KnmR>pGOq!^!UgZ#zj_VgqMcfv4=9DyJlQZ!3IPKk$<~I`=r3g(6nAioF!_*J~rx zB}zsr*58cW{r$QHiX-_x>^25==pF5Q91I+e6;FYy&8(gvAZI~x#4|{N=5bF2|85I~ znsZ~J`{L-HAbz2hR6MD0lsu4g&l$f|w@~U9E=!8CBubZP?ke#-S`wm=7Ws4D z!*~btCRj2sV+sZW!QHX9ir_d(DS_sKlxc?Pp8)8h*ijdr%hR!NGz1lZmQqd!j)O2> zxqgCl-iq`hn(7Gyv=s^$a6EpbbOBivlrD`uP8X?kz8})`_FQI7qQPFb0G~X_nGP73 zS22U;Q2H1NW2!JG%qYXyiF~fo=l`4(EHcI$1Y?eMgd#~vT`DpqjS?40NtBNxnM5<7(SfU|}4BK90J8VcqK&`;nrm#ln%p&@Y; zc{EM^)X5Jg%1uBa&WNFVshv%~=ElO?Xe@M2yb6O@(k4NMi5bx5U7^Cq{ICA*5z&yJ z|ADi41B0Bt+mHfq?PEVe0lbI{5UkvQ4|f1K*1=iw)K^<}uA8)alyT`pz|ADof}te# zVxDY4sRSB9D+)Bw6dj41M&2p46XlICmyl+O%dHl!d^f~d2awT7orkV=un%p2 z=DRGai%nX^r6^H=gx(86DmF>TR?N)u(T!J#d;d><_02c?!KHlA7UVQ|Fw+#jRT$Dx zE^Q&Lv!=fl$!@fnsmx{;|Cd(n10U*NjBw&9at{2Q^ML109 zW9JHQdP*NJl)#hsykwp{RLK*X)IBFpM#biMX6$@V01_zg6D^n+6zy+&*i%|aq=b;} z*cZ|Y{(zj^_B7dBcvnCY=jVCDuL8Slv`4IDWkZ2z93lFyILlf8;E+M1i*Jf4FI)>T z>)#+I5iyZFc1$$cpQ@a9eRjG}g^iZXDF*6LNxh**JTONCvzxYs{hr&?7uMv|Ic=zB zhZ<)M>?LMX!<=)V{)!ZTY?I8n9O~j+eu6J9*aL;NIn(5~_A6j!^7GQ>De?k~mPuV9 z-!}+2ZRuuq?9DPZR+&F$Q@(<5m0Q^fT_q$OszwuCaRx#W;?sIpLgFJ17B4#8*-|eN zK^s9d)XO)R%iv4mWK#E$er?#cIdNn~<6xytY22~95}Pg`s-iBj8Y|NwE1P*_9e@Ps7h<7m((g5(1Ut;xrd#Kqkgu#zBNYc{s$-nFMl7vu!OLfR^ zg=8MYu-$bQk@KPhZrP>s3ssrCtE0xeZ{@hEI{*pgq+5(O!7-oYA4NM*AU}qF2<=ZNNOb~}+gN+$ zU+q96-z2noTY*ld5PT@vf}sV9VXR9EskLq(M@7*1wEcOc3L3_(mUO4;Uu|CTXt@Xj z&x4&erb=|GJK&mBl0-?Gq}IPk6IO*x(31TINQ(>b5Q-sc$aln54ELwoqHnYZ6i_n; zSh$uZ#?czWI|QBK2o&kO9m1QunIwDi7EmG&hSZcyv&Ugpb3v)B&v#-{ zvUeZ*t8%o;g0PqY!WM)fmo$YF;t|>>4Ma=FHN^_E9Z<($1s2b-EMAZT@ub+#q)0Fq zG^(zHKjan)`Ay+{Kvbl`rkTR=z`vx(B#og3?gdW5`d4XOX^#)mR^fNaFb>z+{G^_* zaGfCih!)7N|)ihl@qNWA0gjSEc`3v^bXa1=Kl?fO@8ub`;f6kI4Ww>?vH{ z*fOj*g`XQ)%3ah|fTxhUn1;By8R7LA@XZuJ_zGW|g`c4T19Y_ai& zby4lH>-##U0T)LgeR0)SzBO7B>K%>(f!?7%(>Ge-A70t_)GsG0u<@M+k2b!cp1c{K zmD!<@Ha$x@yN++%`hDG2`Rk-S|IX+S4F|coQ?$ATqgCHmgOYLCf&C#UpWqCw0rX8{ zwXooI&lv8u@+5;N3scR*_mr9Ju!zI;OA&?v*Vmz`1fMO4=9?EnRa(WYhxeuvUi`*uTCKk!0(|#H^+A3p-&P%3N6qcs6#iX8*H(NA=84x4gHrnfXHErH+0F$V1+KLWbv0=~yw4O`z| z0qWGzUL(HhxzqxRvIYy7Fhoa#Xs`-UGuTXXb!vbXSJ?ah_Wt0a3{+M4q7CtGp5}%YaKKdO@V|o|o#B%2 zw-F>PZ1^!z z908)R*YKn)ca!7^!_8-sydvc+KdtN1tY8AACg`E%rzU3P9;a=o z0Zj-1R~%+LZQ<;+)0CpHX8Nkcu2(Z%M2M0&68i7+k@cC+UF8>!3Gr}KO@?zpTJHAq ze+iyLa2YVMK!^iqTJ1oJ%*@`(|#yVX&gb-CYG9?hRh3Sx;atZ%S+~bG3ez zfV+cq2hs&(HlGXO-n@G=1x1LT1=L(JZkW8)S?7lwCpvh8Wd(rN<&~QhzLx`LjncQn zXyt+Q!;3>p%(fdmeCdrF^u`=c!zJ#!`Aud9ap5Qoth<~2+n#m=GU(1sk_lU$b|W&i z@v<*31Elx`k^8`@ZkZ-Y6kK{G$e17{wSFXRc64nXp6oj(XZ@sp5&V=5+za>sgp7}( z0{(h2NY$&z4$7#e_EQ`^J4a@N27oqH`Xs^u`y`qrjL5L*-be>yS_mHi zhw(Frpw_qtD-aG0VV>(f(?IIaa6HC6AlU?+UB8mP8o5hS#a1!o#4C_Edma^(#t-}> zz-&z#g8h_GjxYULh8fHB{6(SS_+|(VS6-qD2Y@+201NobjH)j&C}v?F2!=7hh=ruG zWYl!YGaD8qFf?ef_k7yE?5C8zh8}H$kXhvU!J@ofU3V>Mpf?Dl?un_^8*xVEmdMZ& z(X#?lP?d(L1zG>`KRyr|fizAJ1x!%Uih&*<3;-j;@{qfEIqWyk;rRH6ov!#Kdh)gd?>mtqu21ltH4~3GQv2KKoVPGc4MxY| z;E)PWE#Jc^U8)#8!hdpv1ihUQWTtEiNBt}*b>q^0j-Z;GS)79OCU)Xqtc*?}a%f#Y zx3}swmzc&`tB@^#)uZIQBAR|2@_UU_ULt_dMQFDY|3*i*+Jn2^pBCqFFMs)LO*vGW4z#k0bEV{)73ch13;k zfS?>L>xqyD--|1YXfu@muC9*v1)J80OvE+q0gmEv8*gknvSRb9u3J(G<(&r-z;p)G zwN2kC21Sn7zZ8f908$83iPcThI>xL22&<_4ee*_eY3M;mErQ?=5y0RyJLD)a9OIm6 zf(KGTbBjf@VAQ$`CiV{q$HM@YZY4A5lMIgG-9c8~bBK&N!{>Kqpwdzvy!mSZ$2*mD@IdZaN#~KuxEj~nRg%y;iFwNC!>*<(;lt3s|&g?2oDsCohk3mU7Wv#p~vdVk$#T=I* zxwSWT&Luf#gp#($oQYw#Se%R7pan=RX`E2W&W?W7Qez@N^R2Zxt@8^mp^TMK-nna< z@j!4g?fUh)2D#Tjc0CLw_0!`{xe*WW{@mp(LrhwAI!BIh&ate>EtJ|dn zSX~YuAP-*7m?KQ9j$d(%mB1J$5iyLu9EwW-gNFiBz_M!F-rG@Tp`k%zPtW@$w=trPv0C zKNY;J#2`+7q5KTRx6rV6JyN=!Xr}t$&Z57nGZ91yRqDDC4scvoQ+mLw2$3wpQOMw= z-h9h@UYt5=Ip$*vfaes3z=iUnm<%Z&peO2v?nuk1dKq|2z7H0#Fd&N(?zdzjgbY{0 z?54E4^NlwEOQ>D}zwhFGIAW1$2m1t<1jeb%3k8({AOrEM)IIZzSP0&Nfvs_54`GnC4{C=gq6i;Hx`o(?Y3AjCO%SCjU}hz zjL`mqI~bT;WM-t zDpq}AHWww20Yw-#>9ref=xE`#RANme1qM#lh&UkEUBm}?>pAq7;adKRXvIfZ^GaL&e_AS^PSPuD5Fe^JDa^Y*feSWsaxLhUx8$U`zDEx9m zq^lYM_X$8cD)xN*B%Z==`S!?E=KxnE!(?Bf%<>GfXXjk5$3=xPfgmjB6W~%)GPJa` zZ%6@zebriuduX>AS%^?FfSKjzw}sk@(!E2^!hj~@0jx5$4U}=*8`RcSZo`?gO#CVx z<13Q?R`D6kCEu9x6ZwbqIuMED6q$5DW~{l|;Hspivi^mC%yj-WU?4d9Q|-(A+!Sj} zD)mWYPV1Rxj~kA56^__JhLlua`88shWlZDDx1Z|n8E5r18SQehM!RtKJn$02FOcz1 zynx=TFdj68rTr8?BbL;biwIsi8b&z6p&kb&(OR9T%tQ0=>uR(2Q5sABuK;v~HOiW( zAKqvG0ZyklJ03Gn?#dlex=pDyTACpVZX8rOQdN#f2O-k>CjLXoVj;X|=Ppany~}g4 z36Qm?vd*k1Q(31vJd-;>+^LrG4uhqu&cHziC<_fK@>@*oyU%=LZu?M!oQPp1;@z z{$2ZL^LMhx3%}%^Sg~I9{BQ{GK+eK8;4W@FesJIQ3yVPdyc`xngD-`a&m~B$M6Z7c z7pRI?ao5vZPw-&)$--YDg!{DF)HlxVZY@}-eVpQ$!dH3g1(0kf)V^-uUW<9i?!};p z{_3^JTby?bB}fz6@T3Hp^-uqTA<9f}G6cXQ@*OTVioj7JmEktfUKhn_b`Q zL3-}vRo{9oUjWhqj2be^UrKR&W`CG)eCxmZ^*7(Jel^%BgC$SxPur+I|F~TAqtc1kdtCGs?^cfq{i^#pb>6HCy9X98ID5YuMsj{ zq)__Q71Cd8TWoCazRLGrjbziNIK_&FWZ^=x6Gp88ZA%U8!$&6`QYDg#mw&hhV9tOM zkUHgslAljFP33lqglSibxL8JshjM87q;)$TUk(;t-q83cbzR_jlrpKUq@el7DHz}< z|6~GGD2NPdRj@0%I6;(6SrTSTSq)a_a1E#O1x`6l0Pp?uJHU~ioz!zM|M-xGUk=>I zFH;+kw#=*zzV$+##x;uP*BEEu4@0&Oq6j`Jkk=#iI&jF&R9=Sb!AXb#!>A*yluR@_ z$l=04NV<^cwm%k_F}##8rzYO?;)Pe$E&n*m(N@urMy6&wzY;b(Yj{XQCkY)d9uo(W zm|^ocW@afJ-wU9$F$1a&iI+;NZ&Nr)l7Wmy>?iBr`$IAdYhY@l9^wcgcA<_i8+nD` z5$>BHTA9{Q> ziOux>3`{tDw?Wt9j56pwmik{D`)ZTLQ80Vt|H!X_6dhBqCf$-5&< zHH2=%)Xdl%pO2-ClVnjy^7|0NP}DjE@I5*HFv`Z}$bN^!xY_fkU6=fvF=^HU7ku&9 zFSwiA?rXLqH;SYycP_@bq3qGyHKfs z^b7+S+f}9yZk{jswg!T1-5TYofY$+c+F`Wz#V)s1B|SZdZ_GFnVz)P>zrPfDUl8}d z{2}5&Y$!bf)AV!WLRupjgnriXAfPPWGUyy_UYjO=g9|9|hR>j?ZE2|h%kviW)%hN{ z%G<5|A}(uJpd&}CY()Rj(I8M1aVN$B*~gMP4dF9Q0W$5rtF_H_D8M52oxNsymoup{ zCCz|UItt82fdE=AX)8T}w{i1dRV7z%OaTRB)jsuPxfWfnf&j*mILb)?>s7X( z$;Kh`maq4Lrpgu=>6WNTdn|Eoe#FhRxI0oS7-1e`D|qnEM(haLo!^5K_X=iEuuWV^ z7qsP>BQiTO-5@K!<1p+YW&Ai%t83SAfD50d@f;*WNdvcoeJR7q0Q>Gm@Yir@%uh4HcQZ+(jS#BtAP=aIzOLZ+ttN!RwF7Sc zg|fSZ~k6CcPxw zzZd?6NqHyR$9|5uHO3Y>;~JHe^10N75h^#zqo4>IIuCQcMki~KopQfC)P=wy8oN2h zuHF=azY9_%vn!_c`(V_ME4#3Mh<0G~Rf-LN1Lo8Yy|6jHzZ7dJl{prD4;#Op)#5B@ z?@&p_BU$FnlN zc{_nCz7Rhc#G7u8xZ^}@VSQq(!@|koBC{{p2k}_Qck6XY|36u${CLQ3xeffw(iy;G z_#kQpCMd^WA)qE$0Y@oac@B)iG;#!FHM6Rk+H_r0SJw2ubup3QC!jlvNd}yg(v^ZT za&U$cI557m)OzW29$rAZHxmcJiruID6<<&xTrng;4vtd7nEynvb*h{5=Rd{;#gVK< zg&`X_8QuiS974~Kn6bAKE`7*n5uBRYvL%FSOzZhEQ_CUe5V3oH>O|NJkY$Eyq3)?` zIlor4IouP_K}b8{KRzkkZD+Ng|71;OAz0aPqrJ^bzJ7-5;g6JU-YV8LCj#0M4w_az zC`9>>g@}$Cs_<`n_@6yY>BkE5%#9QESt{1iJ2yDCwKtAq9rL2jq(1>do%oNX)=Yu5 za!#c}am8T{DlcMzo&><%~o*~sy{eX#i@CH z`uwNxKX`Kv;KzQmP2ypxP{tKXBK^nW`Pt=rT#T1aQ}b{a2g9*?nLt&cpuYOdR5C?n zzeqPgqkI`l$uEOTLM2vdUdq!69sn))FE7W}Nh5>-cU0#4>W{@f_sW~#2b#wD?QzA@ zR8qz2kEQq}d2#ss6IO?LhHlE8mZgdMLus~kwW~?nex;VY>u63D1+H$(Y#FK|ONrwk(PZQ|#p9A*e?Tt)|bFrMSyGn6J2}HfnbBAwaz_hfo=DTuJzdy3Q zRWQg1{oxzy%$ypwTwq^{#bL)UM}b1tb7Ob-#`^O=_-pf*NPM;b2gYTtt&tt&0-ff1 zF}R99ztWVkH`h$5d=a$viZWeO!` z-0P|fwah3FJ8%re@F&H1qEda)qZm+Hfv*aYA`)H-k)Zy5sBqn80A)u0foJ4TO|qr@ znU@Ei9gFB?wihHxCRl99F;Y3E^IWI^p2lE<#&mwkPrUM&-O;eW&Zdx-n7n2dYtlP= zGP`ely_dezIezMS0`-Pc#;TN_yWBf)k8~Akn^6kBVl_W|++M@zpfYzkEpIuN^TLi2 z#K$UsnnWw7o`5gu>rzmU$nbOp?`LcS+$t`%0abLYb@EQFgCKMT4-O?rbqNBp>2V=c z(>k&*H=MgdHe{FS>;}&rTdfrs{ej>J8G{dvd!j{n zUr1Mu?fPz>N$jdTGXN5(JX5Fda)5fjy^W3}wECNqEtz)aG*8U*yy_IY3iVnHx^v|w z1L{;oYBmMx8yvI(vmb-msF@DocdO?EvXebmk*!|fd~XS$uu_AFYCEZCI?H~xuwXQC zRI!erV{k*;O90U+S$o!B{YsG;v*&bc%ZH>(1u!SuZZ_g-ta;QFy zn4#@e?IP?7p;=sMBYG3sb~b>3}_;4EmX<#QElV0*RzdcNufjXTXQGeHh z;Kr4tB|;zjd#P6F#2y1?{eHv+4yojP*nR4GBq>qgPodXpGOy}O1(=R=S>+4WBV{c0 zg-!PN(OR_nrYU2cIl?Vce7e+j4(~QCU|5A8wRajZ>KcgKN%sMn(i!m^d|V>2Li(45 z>iE(iwBo;(=L>l9rn#R15RZ5gz7s4uGG!dT;dau{l5^PKu^IUKR!Q>_|J&weB>_uJ z;B@L?cUJu+f7AptNTd>^;GAgft||^IZOdG_i$5IyeCzIX>#cRtF(n#CK|7f+gu=PT zWc7e?0PhyW5Mke8+_fF!?H3yT!ihfyWCzkT%q`&Zcfb?qt~rM)D;kReNCn${ag`=E z(8DM(@S>48P-Jz-qTqJdHbOu)}5Z2~)-(uU4Ue(cxO7H~uU%m46* zq5S&!CmLg~fPO)1&OwwpIhh>0wG}x}@`&?;D|Y-PQxFcKi|GnHk=v{jofk zfAv#tw?`Bf9t-7h{0!IwS`c$5`G^n}7is!m-t!qL?jnQlr98BGE;QPXB4uK)ALW04 z0n0IMq8Rf!7>oK8$62;=HPGO!fN6*K2bJcKUxCS+Mx^iHKTepj1AKiJmitkdtr9cj z+p*&74tWqs`=)$*L%e6d2JlDbYk{8LXB;LJSK+BrB1;aL0821Di8wr+0H_wEnR73Q z%nglFLXs?rK~llr<_8f5AFP(c&4f6EK=iuQRpF)?6R=~_;P~Ci5_6!mFEiD6~Db!>gb>;XFQodn~kV5zXOF*>0lKEtw zj1u%qT0pUP5HAj9*8G)biF3@!cEm~-Avt_y+?2M%kW~3m3XxMT3yS;GOML*j`x6oRwL#3mIU@9& zc2WJ;PqNgYX7q<=m9*;f!Atp7{OJe4Ho}`v{bm|i_KCJt-)SaI5;RA{BJ$O#0Ask01g)m0Aa#3RpSQ+C5T-#K0zSzn^Ue>=hSV<& z0%%V!stN}z`mdi+D*z{r%(WQYUS@K6XGmQ-=khH-@faMR{3rsUmy=|)vjk*}7y|T5 zTEvC4@+Lo$Vsdio^B%n2L6G?gyvC9kC*he{d;P9X-sDcBo6VdWG!EhbxO5>UPh7JO zM0#+!vr8Zv_Mjyu z6~|r|JHR5AK#bLQdpl@chXwfu;FoOe_R6PVQ`k+N3j*{Rnu%fhL1U*nT44M0YG)r` zIEe3Sx_E-gsk2BJUJW;#2U40*-Kv0Pd|ndC2kk}AZ8&%t#G^D1d}ZqT`c$93qMbiX z#tKReG|;B*$uaXli#Sg!(NuB98#S98mi)Q}=h<=3=2OGKN z8TS$|HEhVCZ5ZzHnBNe&@tv&)EZ|xJMml&;gobDzt_TpFqsj|qo(=oa1;d!`Ac}zt zFX<36zNzu3dZ!x=L?Fa8+qsyBQq5_e^5w0Y!BaqJRvF@^voBSD0zE*nH1TO*9mx3N z&}t?L8iboOUEBtCIV~YT<^xJ)wIFP=W@yh4RYvAfigAGsMQDp|VW-~d91}2j@!=Sq zLHtpK@4|!b1Q0>0Q++YIv#6M|mzH(f874y#SW@cyB38G?knF(lX>FkUeSlwL0+P z)Hpu){1?m$Avl}-yJxlinoKT^$)PGJyGU0Y0e-mQ$=Dmm!Bt#HdzSVj9Nq)BQ3$Bc zK;m({FtnOqe)COnDO=i8K{Br&WmE1s3@6_rbX#x3MJs1u+oH=$E)3uA0yI)qPLNQ7 zY>_r|%Uc1L0;#)NBI9Ad%i*zr8dUujf!&%fc4YdY1SW0`qsy**H6zb^LG0ZhMuDDC z0O+~6Yx3J!hjt^33Blqcs~8Dmt~Mbf86}WjB_slCTZ4c(Yk&ycqzVYfmm?685Q@Ry zf?1MVg3tD7#9e9zM>YjBt&9}yl4CcaS^$lfq@qs8Tg6LZRpU6RJvhaAudH&M;V>eU zw~CxMuq3{X1fV(#U#JUo7JM4A$u9*{b|Vv+$7OEsaxmhUCtdKRuRH9Lczi3Vw(Bcs zQHFGN;ZNnEANB##KX$ zr3GM(*(#R=Hk(7*eu zfqC-Vsb~;ak?DeZ&iZt5-QZMS9?J9gL01xu}P*S7VpyCPZ?nCrA+pDd2xS+kOgE$U=v@a#Bsqzu&Sk`a=kl}rCk z-Bdk=DA>xUCojn!2%y{%O-9B?gSD+yNdrGMo|F(jeISIk)Bdg;$o=cf0rH05O+rb_ z@&<_V;VM}%KCpW7A`hOtcuM1?#4a^Mz0G$ZNy>YbWdheB$(+-3=2>d}Gjp3!f8a>D zcMV9uh4(^`Oq=|slXc^sd0>&Oz``vnv^JW?^cNhp_9tr9d6zNlQBXr5xHYh>QKH6o?STmQR zVC>)bTYC-89>Zgq#fA_I;BhzyohOxFYF?n*1IvmQDJtmo#=g9Q$Dn1Vt2D7Z)+6(^ zons%Ot#Z&FM_9*hBGdRue(LE0+>NRWG5*V`K(Ly%(9@1a(l zOF+TW4w8SVQ^~lhNOjd7D@MnH=oFltqH;oq1+Z~njzFPpK^^hMmePxWhF&wOfo5Xt zdt@bF^M#U7%?K3ayGcc;K|| z866(bIzZb6wHGgDl+O(ZG@vYL-doT-A z+9cphS(yZqA$7o8Au+*I#}-yH3`kAd5pfBb!-dg)3d3hosbc#Hun^CTRppA5bnwc7 z1ZtnxvQq}$5HZf@IUu}1e*rTPBzG(eh)JU`KcZ|&_eD>w^(3YZ>eAFu;7*hB0nhM; zTjLvh5RrZ*5?y)*`n)B)ugnE8phEm$k4#JV~K9zd;e27EtNl% z%Ab0@-HQ|a+=hKQnud%|RmFgXC0Z6OYKYimV0fT4D^U77aVm~nK;bx${RuToq?Va( zFo;Wspz}@HHKcAV3PPh+WZ$Sds*#eIg201H>pSWwBUh&du?(#QG>^<~n-szi#0d+h zZHP|SI2BVl)H?cf2yR)QW;P!3w0fEsbLFO z^g1w;Av#)`qAWT#RxSqM)uxm=iv)O1pu^$(sYfedj{?_}MW#J%JwV=grz_N{IPG9; zY|B_lL?R7dPj&Il4jkcLRj%0ky4nqsT;>t)KA>c-^1csV^(WvrtQjyo3QM&o~7eM&VdlB@EXcG=BJ;8qBq`i5_WbeyGu( zhU)1d($$DY$n&PYUkgV80X&&-`JpgT6r7sTSQ-z79iC*Jz{HA^*~mr*)@XHl~dW-Z+XL*NB+W8 zMQRXIsi{g+@S68WH4{h~AU)vRmN-BM%IBJ~$VE^*l*9K8NnpPjjv(|Q+})5zs#Kbg zrlW@@6akr2zT(i``d zUi#o!;f)I664ol78fur0)Fh@IaC5NujE#pDW4FM8Sk+_z@RD9eP{c+1%A2cIB&!w4 z$wrW}Nt^IknJjp`VyZqGS^^?S+q^q{s;Od_gEG-*!Py+S9N{=%ykWyZb!h6pZt7_n zW=J&Cj!CAgW#DU3flC|bRW7j>R^O2rT^X}F%t6{{9D^|z4#$njFqjAO^aZ`m;Oc<# zaO#`O;U?2lFE4{yBZrtk#AZ-g5jUy(uvRF?%Hz3bzLBN$V7vOn(E{RU;UTi%R7_ohP|bX)5of#~1sMs@YFUrt1uPrJ+9;4z>tkM$jyk)8 zc~=QOGT{%e)V$KUTK|^;$j-*3YvNRC-qEjEvDRe8&`RHOT#GkbW(E;(4l2O1MNK{F zhbaLE_bhI#)(U)5mnYQ1;CUM>CL@WXeNP+1m>!5OrF8ySx=0JeWeD?$X=E>13pK}> z(D=!rtAx@FVq(3S{6~NI%{S_t4yY;Y*3TB3I_ozgv&bUTUktC>CO&!wPbPbWU!acz zYBM_{qb7WbLxT&~OSpKMG;b`t`ixVQ?Gi{&-dkKaZD+0KjlUDYzOk( z@a^g|jVH<&`qN%RW+zy|BdKl5sHA3b>6@X#V+IQKgOM{;Wt`N5ou4uH_0an}SeL$aa05kbQ-`{E6c-_I&ObkVHFFOmVda=p?0nO8bh6WNf z@LJdXR;3(e8(7%F7uGtu@gf8<>kx5#oR@E?HE!oRK1jh(^E?lSdJJ-yOiL7N8Iz&n zOW)2qAo8UcI5RRwNrHnB^Rt#YubOJMITc-$hSAVyaQHLom@am$8h>}QY$U`RNH27u z8HRV1dpAi`)48)YRrbipNAE|P93ji@s=`$j5UZIOHRw1TGV`2d6au!9hBOwy)sdpJ z$BEE57^WSWCOGiT1fkY9rTFvu1bQgkuRL)iW$`71i#l%*6Wot!S)ipb^MX2Il*JIm zac=N+G{yl5Td3K*oz=vNyod!Uo_jAg1%>x>f=d-Yn1yOAWh&awPfXak_`cJ8z2JW#QGn8q0bEwjRHH7`6bmxv}amejv|7P zNJtJm_oM5Q4Me73CtxgmwT{^PnzTgtN#Fv>mS~6|WDsF8xp<;$I6qck?j$2{8e|eB zAH-hEYP-o1F-!F-4ZHcH3qU9?8pVXB*T&nL$Bk2)Wi_nYWlYJy*&i>IppBUlqy7;~M{^@1u z?crPNaN9QZ9?>LTL^f`gc##vPD<7e#t2nYw1wxYw0B{7@C&CDDq` zI$=h&k3p{K#6FI)>1S$5<`?xNS`$J5KE%O__SV>4xt^s!Ww@T64^Lt$2(TIgV0BPQ zBHy|+^@TIZf&^Pl>Ls*muiV5*!WAhT_+90ahPVMrJW?@|1T@!)w@OosDew9YLdY17 zft4KuF`zvH-$|pDn_6XC8!xev;=6uGx|s(G?=+{j&0dniYgt-RR!*YqU*671zSvNlnsg5$mFra6B8`xl8+Q@pwEAY@uDYm}5Y+uIo$`&gC}*?I~uGjC`^9!||JZTVHTPrhi*kMZvV6@+Q#F zXi*W*S_|d~0)(*w!I7;vZ)lfpuzEAM2C{;O7i}Zd2q)NSe3}DKw(+O_obPsg;cq-z z+Y*d{WH@vTzt#b5tKIZeZ+M^WRUnd)!_w21`Ab_8_bRJ#1xmOxh}&Vw6lUH-Dim_* zd$V*0T5&mAGIzf4s+lTpFD05~@z>>yRG(~a9qhGfc8h7pDpv?TwRd@0!CUBqjR@A; zm&$17eJ9|IV6nF28|JTUcS?Esic%Z7Ztx9UvB_fGm1NJHu~f5^_cJwQ>~i*WeKp4A z7m_Tb{$!5oyd_{Z8h>mPxq>mhw6xIPMb63>zjPu26H$mOb9upJ>@|$<_zKKijqd*l+HWk$_2?1LAdYDMb6DfDh}DJ zVQMgXdqNLR6$WU8YVT++$ohi;SIuM{6zm7=P&8T@RaG++SU9*U3yENWtLY5%KU8Lf zm&M9uT>16uz!mFQo`ApdBEFSC=miOrP6yNm0e(|JdfL;+qJacY*_NG=Z#}8}6yqeHV3D2(H= z?keaaP(Wi~4m%@^MO8Xbdd^sB4U%agqysJ=+v@Y59_!c7KS^*q@L*r_BWLERa;B0? zDiuv56-J%g;BqQkr-frj!8kBRDz2U4U;q-i#jt6Lcy~@Rq3l(htVt%Gwa;mdCw<0l z^L5TJdekfcX*jdrycz_l67O2@X8~pbt_98vKQ_-pr_rqfeO$@ZNJ#WV~SM5f3m|3k|^Lc39jt57ls!G zyJzN#7Y5$K-unDbM1EFv&x}M}z`%pVp6;rM6DLkYoH!A2&hKba?jr_$NaA*Hje1x$ z9!rU>Q$aMezIU}lN#!tFFebz|NgM@oPVrDo8pO*r4r_q4s}# zkqqv%9Ed7`F6;&#O%6+tc*XKAoxwq~C0V41v_Pa-jfEo%6n9r*nIF+YU8G&&@Ixqb zMyM#3@Dc9QYX2caMGBG1D3AUZ8hr8RnSLBi=s2%)tbu?!GdUK-@i-e0=Q*)kf19B` z6m{Q8A03WL+HaS%Kh!iF-B}?D0U$J3pW46xV&tFD%#R#aEBbvti22227} z^TDz2*440w!A&|&%Vowj13lmdLz#UJXrB0g{de8qq8bg+G%w}#|v<#qF|b~Y`UtWxGvls-dP^_bqU3OU^nzr_xx<#0w@(TYRU9?*A` zBI}7?W2>BIp@~$`CXZ2r`sP+pDZn8MB`Dr5R`AL$p=l5tvzQbzS>%p({T&7IjCvk3 zZUYDBxBcRfd5&+>!=3z4_ejeRGSUZQGT^C6c01~n+R2}HJ}X{>3l}sg|4g~SEo&Da z@Fwbh;_na)z0XnJxARy+`{q6y%DqlAv88>H3ZC@Xl&tl&5g2&ZED*RkB;ONB7$ zhbKQL(`dwRyRiOPv8sPP#r!zMRo6ss_xbbfm(_aa6+kU3s+5ZCS^$m0mJxibE*=VB z^+OJY#Q25h3Xp~_5`bV|_dFU5WH$@M#&vk@^!Kmh_Mxn{VG?U0;dCGxs?KM#SYe*<~I4S~&EEm&^tv}?h zClhXda{c4$`p4JjCvPIs9pH^0U(e%1n2(ax5#m5Ol9A5m5!uLOTJ^QQAyYoXIj+G8N?JAjs^%zOxQB3zD39e;J7NG2HAMhD95J*_ntAJ7IU-^DpNrG(d5H6i&D=UfH2#>Lc zX@gu0GZsX^`oTAy0O3O|Y>nz3sBx#&j}nO)og#SZ3S1Fg({>obqU8ir)vH{=NKY&P z+~1lRPUs>K&u-yucvZE^v3VS&Lpj0{#1@DKrsE?eMmLwqIihD{o|dI!IUW!!Y8Z+} zgmrKUtgMORFkm-Q;kp)CC#KiJ#_%tmyllQ8$QxBNB4eEmuCP6gE_1GSsD;rK6^wso1-!|!|mPcct3t;;|CaXQz7btGGi!*7H zerhV%t4LBh1ryhKsklY}EEjfJnm+j0+y_rV4)0|IU=_aAwj5W}gvc!!#uUEKt7-K| zGOm9wl56$vQ?hh4zFv{D$*^Ff+=&*$s$Jq~%mlPzz23q{1dNZ|OXp(_9oZ zumJKOag*%NnpKSqX$Ti^9C#&aIUfFTge zXpm;r#G*ZpJxhjJ#$lO@lBFL52^)dGSU>tOPspsG(U>PZX!&+erCpskl2A;aQA;Kq>g*ZViHREBmbn=G#s*4{Wjc`s$_SSarX6mV!p zxzfI#!&!SV%c>9%msBT=3t&falucePmwB|B3fgN(#2b__1LW%jw&yB?zX1IJWN&rB zOC@ZJr0UBX-5JeEzHH5^8(tKkQ?v+>YCYDcCoktC*syFf(wCmASzp|aIW5Y341H4@ ze0;H`DQ`#htm275g#1WlI*Ce#E|zQq@dA@BSw{MROh-;&T$$=xof5GoLVboi_7R)> z)oTG0K~%?x=OoRD?5LPU>AX1|F)d(tLc8H<=cDiN<4apkX5Cc| z?y6|fi7kTdrZW0=u%el4jLYZq7qXDyMTJwD1kA3>a0DG`i5&1|b!M*_ z%|n1gO&KR`h%t_I*-bza!)T^SuvyU(nb_4JS24r5R43Zh{$dDyON!e z6f)=^n+s#H;cZLsqax8bDzTxlgs2}`G)v{ESe1|$5m2E>E6t?cuqbBGsdzoga@w(K z_LPyY@Zlia2>S1?WmqfBOl4!!baMFc&4EQm@<0La~WdOO%@zw{Y z&;|5;q9a+G%vb=I%OR|rXif(j81iIq4&dX-ab$6dc<)2n4HnWAnDZjXR4g#gV2va+ zjv4+60AU#djpr&OV!Yz_GUz3C;>3_*{)x04CN)A8&3$Z-=>}+bxadxZotWl(QosuY zTH?z<2Z*NfFPR;oBB&;+pnZvKkad=htNnIb4h9>!_G#hsU5y$a#=r(@wIBmCqwP4O zQ{+5qjX6i}!*eWwFB#stXtyq;v+N3x@&N2svuXpFN8T`aVjq*HPLW4%m5j%v?-_s# zpi(fLMlnW?-=%4eMbf_&H-|+c4%tayf%~E%NkP^b-T z;wkMRldCkFaO(t&BU+v1O0pIqVO)GoT3v_m0$U+3Euz3qUgE_YDfK*yHrTw`MTjhT ztsBofi|W6uYY&x60|f)v2pzByL+)q zmyAjxD^5mR$#-(n4_C{miCNH_>jdOxvuLQ;sc8yeW9jA^rF4Euw~7J>A(;bd177?x zo`rVtG#N+NWtwPptF!8U!GHZ3dYPD&RrKX3+1KPi-Y5yd}mJP3hb+OGYDv zT`vk1f|@70>MOaNQ(C$+ZMERv6A?qja`f4Bc2n6ZXkFAFvoFCwj+hEzX4xxI=D0%2 zaBnmP=y8+|aK+sh2;h0k1)TSmJq`+1W%4Z1tHii}i~e}q&f9Q(;Cn!BUQUZCV;y7Kp0^C^mC`RLo$MNd zVZSxx=bhl4nv=#L_)B`cXXz17`sKw_*>vR_4qiq8bIV;>5;MoU=lft(zYe4;o@uG(3ESaCG)jpC~ps;6LMwWC~Cb)@9<6a>P z_+74tLcp>r

Wa2pFp}xJ-(c&O$YoP^%DNjZw&UE+aKL^$3?~qnMv7`7#&H$9T>Z z%)Mm^+q|s(hf4N?Y|S~7l`pMyk5;=Vhhhb|!I3A{n0DF{_z#G4X{kPbzOs0F_%dLg?heGcY8-YhfL7c?26@aU%{FZ?x&J&`LfOY1=Zs@nKz zxep@uoBUcXX3KmKS&``{@~S*&8||+#_qZO{cD)B(w@2J#;{4OLdc>*dlH^EzXVYuenwEv-7p` zET&eGPMXEyKj`k3n)4v1^L@|_wmG+ySit#?ul=TDwsqdu2G{mAsab+ zQ(b?Vt!pr=<#z&^dNO$Pj=ZoG6qvSNp&rr!W<@HmsIDr>E>A{uf}(?Rnn)g?sr-9x zs~E#s6wkulUI(I_;nqc6AMy(YU-!(WxEbBZHrv;JzKm!0_vvp(@j&|PZe?#u#n#~h zNm#2J+6s%4;gr+l;}3EB0v@Vyx4OJI6)%-MNSb#c4=Y!KtR!#3h+Iue#{Xg2r{xU3 zALRt#$Vpk$v(M;VfLhvTv}Uk6fF6r=Q-do4Lx`UV##l*YD6BTixSeTEW|Y$g5v~xb zEt{>2xWHw=19}f;hdtf^XpUs3d2$4In6KzKXI~+i4p(qcUohT|;5Y-B-?6ogt}`++ z*nI2LCgXMzfp!r17tpr+z+hKkEuQn$TFv$#Q%;#(x(eJO2#gD;I#$TeA-J4wRn{x9 z$_yCsaJtCSY_e(Dh5hE@1)b+*y12kIFKE&End#uHgvDEGP0}->zyRH1Lqxr$Yoa zJsc6G(Gitgl_N5J>0n*XWqCz^5K})!+{B2MJ?<`>S_t+|RF1*As#`NTM<^R=F3J_; zKFE>%a*QZ!9q|@4z~y2hIqkLYR_)Vzsm?2t9MEF8;7S%Mc>`Fw13R9`ifD!ly(LYz zy!#hZ*$&;Q}RO82t;7WE59`uzBnwC zp}hCzUc@+f&f(ZG2V||Dtai!7uVgZc<0S(==nvwGIfMP5%~=>pF+ZQ>9Rz3_qg58; zW_3vma+wS{S-~hNh8>2xGNjUYEy1ntEZ!7%s2%ib`X0*3@03@P!1sd$ONVGrqg75D>V@-( zjv-A`(`=1Y8_4sk(;+ok%s7b#@bI?BkG;`lXIATkaof-DP^)Y`LGCYfe$CoJ+7c31 zkX9=@KVWCpyHXz|v0jZE;(!-=yd;^#OIg3}lzy#O5f26ER-R?^ju5R%h{)nI%C0di z_)?}XuDD0fh)p%R$iTbo4l#1ocjs0K|BWf!SsIBPX_qd|Gx*ZTXev<@%XnD*fnz4; zqPSXeAT&+FK_*g*)ZuVScDAj4nJi14sqk-2`GT|7i-d+fgCCMWb_lZ2RpuSitg0o> zU{HOz8U zmY`}c+P0ufgoRM;EvA&9tm5-v>H<-9xT-`2uDljkk|~m&WD1e^#FS3I8tXoPf#S_H z@WZ@I4(-0!?lh{cndSzj-x_2OU-vlosxe;IoLhOrx$`&XymQ9w4n9?HOWoO?3qdV* zs}XzIFmGSXeDJptyW<;SOYBZair@9Rtk-hC*2w*8!@B!7X8i)Wn_ao%nA~GNw2W(# z`MA%qPmJQfkh%U#8NRcG9Rv5*q1R!{tJoShZ25l+w$70r81oEUGS=OFfL}uuM!4Yk zFW-F5-?S%zZyHx)o&>9A5}1GW{&3e*(?OQszM}F?S26|Y-p`LIwXO}zzSI8h*dZNT zz||vPymX1qpu?;VpT48>Y1?t$vh~`J6j=i4*gwc}RU>dxlA`GHRAe zEM=A+<%G*Fd~^`V*2(a=b0=zb*ktUsiqvQk16U7{R7Z@oR^2>Hr`*arPX=GpA-$Z{ zcfQrV^L{OiO2AfY#JqDy4Bo!+(JGk(v!m*?)p3b!vmMmJHQ{3!Ez5{O>gMsagvPD9 zq6W8d4##N#r>Z9a$(~lfs_~JC&R(>_M(`?|s$hIQjRthKQFlh{uA-}Cq4F3Gd`q29 zh=rJM^g%R$)6;_QY2*oX$r%7aQ6FV#id!bG!a#Mzj%pd`O?1XwCb6Om_j-Bv!37iG z8YJ-%PTu;0_`vCr^BYA#q=G{ka0MEIcAsDZx8?g+xF6hz0X(#HWcC#5iY1R*+*tj} zSd}>A!mH`axNF1x6-y2o#1Sq^l$mAf_a1ey$QJuzS4Yh*=}^owTyw}o@TDUW9d6Uc-fkWXuSQ z%ycAX=2Rg19#Znz`@sG%4_rV!^Q)o@3xlT4SM)3FUQLJfX$DV6x_(2DOO*Yd5GDer8%kOg)&V`F$7=6#8qMSDY&q>T|U@D593@HpNiU9Xu zm)Sxeee`gCoP7L^kFQsZ$`>@NO%`bHroIQW(%%<8(E*mGX>pfq`pvD$&XbSckCBx- z|L6y!G?^APSp_HKB3-d03-sOQSJxEA0iZvmq+GnvGFcOFD|6y=CHb61c~Q=hMS{fe zKmNmCoT70%7b9uYQ90xbuVFTdH4A;ibyWeE6qz-Cm`&qFmE%sIl!&EhTX-ri(c^50 zCXw)kB~x3&d0O3g!4;~gTwnQ0AJIB1`f4rx-jR`v+R&o`BIN4BrPn5I5pmk3m0u*U zC*Un(+gkN#EB|ODL!w21lx$yS7=F@&**cG#6!j_>yK2Fv7RbsFxGGBGIj56`TW@@% z!W#8Gz8+$Hxkfl7En4#92n4^ZBZa^?VPD@Sywqqn<7k#c3*(N>&?M=0t3r#w>L`mA zdB08GCGsYMbM!&UU{0iLX2pb|OnLgOWxb4YdW-Z3Zd#nsypDr*<&p`E1XF1NcbYj@mO3d;(p;SL8>vOA)x~~M zGcpk8C6K9Gs)17^wiHJ%uW8*HtugEb?j2jRx@);N)aOvACFa6i=Z@6v3#m8BQ)|k! zzOZBX^4fe+0{voZ23@2&o6M;-Oa00pM$)I!Q>4hJ3f6z*g=t!dMu0{o33()gJAt4mbpqCAkR87F=;s1hFz44VWJSn0Y`w@Cyia{EtL%= z%;J!Sk8}V43Ku&3L&U9@|8(}j4{v|?+^0957S|GeTEYuuf_%#pns|%JF|A`-CdbqG zkXGnKW#C%Hkzg-g=_8{T3p#a+vv+@TdgINTKYQiYPi~w&`!dpd0-2qD3=%ypf!9IZ zElNd`2^M9Sq)n?y9vb0KL^g>&COxvGO-9`Q{nt<5e*5g#&!4{YmY9}^Lf4DwM-MLm zaFOZbkA482%ZNXYaODy$re)Hl?+EFrgam?si{Mu28)>yo(9M<*}p)020I+LC%r zAJS))tT>dpgj_|&fY=pfA8Az(R7+hIr;ogO`m4uo{@{h1kA0JN*;0oHC*?;E>&xWi z#RbjP`_GeJAd;LDbdE-Fj3F{-H-35h2M^zR<*T=U`i`J#G>2BnN6#}olHNzJBO3Ku zavozL(sjkqlW3mkoD@&O6*(@y zHK|aIEkdpzSYaDw$*U;sfLT&(dF&Kw2tYxs*}tNq=Gnm4Y2cTXL8)Y<;Ied%UCbB> z$W{PRGJpth5MxCA)%1+e4O-Yt%4{NfOFHqhv;GvPkT``W;97!I0nCL#_nTv|+3?kd3{%ihR1~zF9rNBb$%^}*$cmFr_e)?4;Cc~ZnY?9Ic*jEd zGSbQi4DSR*Na-eYnr9dw-m;K?UgZRrj+?Z?Lt%R|8=(r3AH`!b-f>bPWx_8|IP+>a zxqCo@jF35fK$~N{5o@IEB0Ur{YBY!3002hP<^Z1%S0a;1qLQL_d7)D$ZQH;lp@SD$ z-N+eINAk58;lgzmT8-m)a23c{C%8HyRumQ{7gZ4h>={hUiB71#r!b0Eq^sv;mkrW| zQIcp9i`d3|oo)1ZfT%e}e(bP8BgAq2=nbs~=sjDZu1qlt1f8uBz|UL40J&e4IKZ%&HELDuBl1H4ff9 zi1SuEjV%99+(Ju`86ck&`rhSz^&5vrjpOFy>UVshNw^cFjKKLHkzuYzT|bNl!Zr>7 z5or4dG_n9HkJ3n3&H(@iZAVzzB%{BL16=&klC(9TmLM7Rs3e=0K6X&r5spUcbDBr` z5{Ox3U7G%Z2k2+(z{mDjBr^m~)2FuJqhO%TX>#X?-}Mec0R$j$;%h)8AZ?pAlstjh zGBAj=0Dx{UrobgI-2<#2GeEy=ZBic6S1Ww%@T~KxX<+>48-Np=U=x!UjCtBDLW0z2 z7O_Yy$yul&KyF#)L=UCG5Qv*vxmpqN*%XI%IFx8fuFOa5Th9aDZEL zd`@%Q((>pKIa6q6t1kfZtJF&Awj`V__JANt(WGDa>D5I?ZRiDlY?;8jiA5%FL- z!lw>erbc~R(JGik`INpP4qO2tTE5148|k1+>>xb`Q57sOj|4fIZkp+UF`@axbZzaB z`XpuPVx|QGBWVTNKYdX}`YBY+NtVK`8g?>ZS{BE#ifJ=zFeDEX6(eMkiH7WP_{hXZ zu;vw}k}Uu|j;Opkv4JORxk5dRT1*FVcuAdndpPNn}zUVLoW+ zd-P+U7)Byd;!{<(5MA1?zUC&#V2o)CGeVhl(SFcGeG^ZOB*s0<#7p>b5+lLAbvA*XbtD|Y!RSU548gD;pp_u5LBL@!M!|BO;irl3BY{QBlOjxZbi9=^OJv zACHGJTy~5sE=-VFG(b@GKXA}tqvj3jZwIBJUPMto$WQ)2`{F{c?1OBUGKBTfpX{g#F{nie{rKZNiTqdF!m5GeGWx*PfYqJr9y^oZQHP>M~%wM_x zZ*avpF98cx_1yx$*1kw|Wc?gYvo*3d0BS!V^-#@81CPM%&`Mm+&A|*)w9%4t*TtrsmItho(qHd0HsDE60-8UPmqVAa!x>;@v~dTKJ(9d``1oaPC#`1&r`uZM|td#@d> zdCp=|tG1e5s!7YO7E^0R1wqp`W>?rOT^I?S*w7t|ObunFA8NjBjGx^I$rBD|VwA9q zXnJ;4OM}xso&)94*b(bVQ9qr?@VOGvGY@tV-1B*`Fd-^}=w2`=`EJNSW zET*5sY)-od$gI{GTQ*g7r(#qGKmq3~(f1Nyjig9x?dU=4PaMRnCM-0;`8rosVMWO~ zKy!{LoS{sBLR4BbTwB#_K2ps>1h^^yT|lD0E@%6w%>21Ef5;o->W-s0P`On+bkbJs zkd{=P_3?|PKK5|8plYe_0}(swTPwgln)*7H%!i_&Q)GcrEs&g<3(BALh5Q`ls6qOB zs{nsxis2xR2ka8UU-)J%b(2S}=D?}gGSwhW^Ej?*)s;46+~5klOmP!_7}2ylN{VUF7ncS_TzUE zW26817jNi$v}(?N`~(fur+@es{k-|~TeK12+dSbfH=VycKlCg*0Q~u_r^VR|@6xK8 zi6#AK2cc`yk>Rr!pBA6~?qLvm^>O-n`|EGgu^1TvhtrS0OaEAwZFppWfA-rK#Ob?F z(Z?Ac74FZFYu5{X!_hvw{+77)-g8v@?D-qwFhd#Ar;bl*QTrEa`1F+*=*!c`p2yD{ z@8jnmZs6x1za=JkE63DpO5^KX?!R)rR*mD zMX$SmnucS90kQVN&&BCmAJEqe{x5U_pr?QKlb6MLt9%Pk3%m zsH|u@!^xAh%-@q{9WONu7w%%;@8FLBd?-^PrZd<{r1mzSmme+FYp7;*Z$?bZ;P`x zXbgakGh6dFsP1b2`rK>c_V2$YrfWz-{`4Hj3Q45jxGqkAg}HL};}1oFslq=zI0swW zXHP$h3x86u_`hfS)Dn^VjyQYwmjcfl@`q~%o=s!@!|zGS{q!*@xu0Pwp1q8rIeYbc z5c35#N?Iiz4)6(>520Z?TIQz|`G!y6ipGC(Vmt^|VAH?bR zF!pCJye$q(JVMi2b%9;;uTMWqRd_x9{JS*G@PEs+eHZiTZE^PKlc@IWPcfe`u&e^i zz_mSF`|Pb(#jW3e3#$VPfb=@8)_~^PkKPiW-hf8B`HK%kN&llSOvfa)pOroTv0N56 zKYWDPm;H-mZ##dPBw&kX&?{dTXU}1^-+bXG5Y=cj)S+XP@A^di8Cn=WdRN5RTzvf9IlMHHkMYm% zJVX-a*1q~JG1y?KEH_vXrcLXRXg*JKt`vI9H~r_<=bB;P5(_0`tA#?dagsRtXU(xqm$+*o%gXtmYUBl3&}0?947@AsIiyO%cLy)eQ^s@GLgE`Ue3P zy0oIhAXMTziWe)Ovv)6avOy6S$;mql$-0lC{{y_^kt{G7!cBaLsj*mb?CwV8Sd3Gd z2DwU9A1y`+ZfOdYskhGaVTm+avv+_#)yL{7nZz>BhCl!xB1HsjdFp;eb4LYzZ?vzM z3tRyqvv#iyhjCmO?0yV{(^*nNtw1I^8|Zn-!3h_% z)G8?3@zBl`nS#f7lVFenZphxzP$=`t;Z=d=5mG928taczuP`_0c_b`-NUNVT0zjWr zZqBwzu-ZR-@pDR(UFVcGjRTX6eLvh6{bbJgijF3}y`5V+!16bZ>Q>JT9Yd@0Sz9vW zv){_QjXc#jz8gNWO(TVY%mZ!gpwlF`HaMHKZ|#dZ9k;=>abdA$=RAi0Hg~bpPHIgo z!COAG_eDPmw#Ny%UHYcZsJn!+@!V~abp~*g#$NWYm2TWUKmlo4dGKf8o+4Kn74Pk^w_9W@`it!M#yN*zM_Sox03>jSQ(* zu{dyYiZeQ`0p@W@Rulb)+iYMj$|Qdb=A`x?uy2UQ3y==zGw3+ebg23fa!kZPpe7|( zrez`AUIi`-?4vbQw`vM!`;jclKeBWrg9Yf!=Tgy(rm-qYhh0E05o6JaQCtNxjk$|9(8#b@iB-}*8l4Fq>-8Njo39=Uw>7yqv zr`t%oWF@Qcvh<43N7!%Tq7s*RS^MnYOSC6_Z%CSfboK^HH=WDW&3Z`|gAAS{Yfoy0 zI##D0(UavBN+PEK-m{I>6d@w8y!fZScl+5t-Td&0(^p@>%>hHWE++Fh0bFrKo~#qv zm=WUTqk78dG570$=@C~?-ds%blh@$=ck-sbclNbMKD}|{=1yc3jYm zuf@Z%%F!K_t8%^&SCfxlKP*pP)Aw$^^7z@?H!h?^+&MLOw39K^4AA61dU){36N!F2 zEl*xtOsKnW5Py%ne)G8xPha}==}WKgi&auN++Cr5ZIKQTcxLA#Nm>F)ResM!a!ns? z$mk%Al_n=245x6>oKREA>f|~k@yMHJFZ}rIpZ(GQSbWbgFhZ=U|*t7ngX@9f!M-+bYx zH-GeXY6y1h;{WdIw*;RrXNZ&s+A|o*6g5!+kQ%pCE=ahOw@`0!0L{67mA3p!- zjhAmf|J>*lJ}VbfI)81^b*i4wrl-#{M2e}fQ0cBKQnWEY`3>3_5&e@_bA1A5^^ad)tP(hG z?%jIm;ag9ynP>j;`F<3-F)~Z*)4Vr z+HS(f%LB`^K*F|ZS#T<>jUbwDVEFZG33q4j?D|)4ee3Ph_us$62n9sZELQsnmz~SV zWf~;1sHt>;y8;>rta2UeMos||Kdts#-+u4(S3kc4buu133rAgv2`-_jM+{{*_~-`- z>myKpty=bHU;Pc~q|={1ar(Qj?!zM&$|M3_8T}h?ua%HizQ-%SI{z{x-!;;GVs`TC zidG}Ir(uSqfAzE54?P7<_3*325}nlHy1PY^mbk}DJkllnJ>FSmq93w2#pL8h`pJ`v z$zk%*51^Z0%oYh02?n>)*KZtR7)UEV_UqI4Zrr;5%;{U-JN@9@vtQjH9Zt*U)8D^G z3RR{G#O2~P6Qlz?UO7wlMH>J%HJj_~@Dgc)?{ZtdgkoWht95ljYj_L z#*_Q(1xQtP^pO_4=T&oc9gjxRt8Q_%j922?Cr@se{nH=5aQdrvA*u-iI0ci4V-Rrg zY{=U}w9-ekmS@<})zaFKd{_-3sUJ3;z1uJS=JrcJz4_GpwCU`mM{CvNwJK4_XtvN1 zm?jo(`agO&J0xPGlNV{4zcZ&vLt5dzM{d6RqtlUWkz8*7;tf&(XOI4AA0CPbW}+{yAT`#OaQH=vj@MYGbTluAe1*44 zCX9_TMUIMvE@MH&`s6p$PoC0;XeZ_1g1uYceEHUMPuzOuySG35PBVAbfCiM1r9d3W zxfv5LztyxJMuR~@w$I523oE}r=_E` z*(O3cXjhkTVsCb7^?-@2frXfV^n8+%I>Q>^@B``v*@CxkJahKkS5F^# ztlC9Z1;zwd$6M5KA0c;SI@b?2K*m+kGRa~g1}8TP?f}isv!`j#SQSyCa}Mt-dYbIy zmsYILE7mgLq3#&XFBeQ~PD8!t2eqz^fd9?wly9Dh7YEI*6gOS+DVC4V!$gAIRj}K z#;bA^3m)=oCvRS*>9u$B{daHv>HBA3jmgna!$R0v8w|#<7x2PEmPz_b_XRD4F>UF>p3zK)-mEp&R-6=RN?hT#@ggJxZqfC_6?%sB*iu2~Q~qaE**HnN&7xebQNYkgfFxIesU(3M|}M6tF%= zbPAvy_y7LG69Xihy-ovm>zzNIe)#_BBai=I5502w{=2uH{MMFa7<#n|QZA-hzCsRC ziP^9h$mIovQ8B>ao#OUG-=I}=`=#e^{^=>Tl=6%_c-WW4fBZrX*CBoJE6>0}-YTZC zbn247OeT3eVF!Cm`zt!IyTnm6DvvAle-0_(_>C4&hbabG9t{C@8O>Ct5}AR;Vg#86 zg2NK?kFU@4k3URsjjD*sgd-fq(Zbd+#dxM4Ba50*H!8`}@Q@YT#^JEU3@IOTeLQZ_ zH019s1PoIQ;}oHNHAO?l|Fp_jB8D?jh71!8k-EsuxKY6`SVMMam zHbebLCSU${mo6dJNntoO$*(w$W0@s96!<-l2N)ssR|J=OMBh|#tQ~jFA;&h@4T=W7X6bG^3rEO$#P{&uP00v>!5 zF6_4A!K-=jk#_tjX0tWb1D?H5FT1!f-ENv@EiCkzB*1#Qx=b=V+|n`jac7X7M6z5Sn<{4piff!n9n$ z@kdB+ia|{~aU66Ef?Je2xG^bIFmX9RKX*84J zn5K+kh0SF3_Y2G3F$uRd#YLJO!$b%1C8v5;S|i|B{ZMh%s7oto)(mZ9JU4?~3TsO) z+s(Q=6<97az2`V`S%%HoKRCovd+a_1b9a;=J$PPi(>NiknB`WaauZ=}8;y>a@pT2f z!r9!xT4VnN1g_~$$eA!0VGzawtx?a`YJjPor8&J1nHz0guE)`Yq^WEnwqfjmdQe9P zJG)8oOmKDvsovqm$c^&SVk`M&^B#9kZ;^YiRHbla5GJ8HP76 zgd>60b`rN6I-zR^S{?pyPPc5CU2LljX@!A~>)4Lh&_V2N6|=hmAeEd0=ZMXz$yjcO z9VGNq0vJZf0gj*=%a^gu=TVXY-e%~zElQ*pc1qchv#7^xMFu&%%)rr_NQ>R_QB=Ay zylzdz@f^=@h=eMZe}Knj4!bOb42%wUlJ^>J*xR*<9`<@o%Bj42%>9~*9YT5x!8q%`CE(-G`IlmF)i;=~WL2?`cHnI7m z820{N!S%rhE@9{}vR4>dzyb^c2W*7CjYE)SI8dvB?E?eJ3p|tz?7#`&_h;cS2S5UZ zgW8DuAvJ6SNE&2PDaFiU7;#}P%X#2zTEC`i@ev>(x%(lR7CS|T%K9vu4-(<~GzNi7 zCK|07N4Pf41{-)PaFX0zdwB9rKFS8QDC)nDB07W9Tn~I~=_W(jguWNJ!Vjn&;ZjFE z;fA(@kqVHP&Ua}@Y|{WvQRq9E6As|?kVC0%Fpc5Kbwzjv4QObaWEzBKNX2MCNmjH( zY5ODz5yN2s)E(3ETn_m*Jo+p2e4^%g7=1r<$Oxw)vOP6>Qab5XJ&}K0OS^xMX_>8Z z#AdgJ;gR}v1-0Xo)B;3M`=;&tq{7fun?{{htZlo8=oCV?HgG;^s}7Dj=lF3AJf_#_USijalkIsyIgThfWI#aYEL|4x%|*F3hpkkJa{3RZouL322v2(Kpt~|??;9+ z%{R}&d^G@|Y|>bSG7b{y#Y>JguE8VaC&DoUp9bHB-76#F;45NiVc~~(Zka-;$52l*t-!)EXntFe`J1O-+?9MijGy)-O!VfvQ|BLO|wnP zQKU#^x4=#M;1z3~?I0Y^7ONy0D(oQ%A0wsX1~k46oC(dm?Jcpve%WS3;+lAtOGZZ^ zTBg(%;E2zhbdW|Qj0xh&5J`Qm4ONN5;*n72>UNPDlw+8s2`7b;uqGjV!8%AL&TiNj zqV36Tf4hgF5;cM(+DIm*G<;~n!6=$W`J_8&>@PYm^W}8Y%xHQ2hb@95z}xoK9LU%O zEp`1U0mu(SV($vDc2|h8eh;YE8m)b}b-Avein=%T>wCgAUHf;JwA$2#)3xc1r4#H9aC*We#VL z%p#fdTf`B38+WqZjR+4Uu;`i}*l~~5{n8AnfdQ@-;B8o@`Z!8*yg5za)?6f$1v1Qc z(k27FoEV-;pITD5b*ybD`F;BfD$(CK0gS3%2W*afwk(SZE)v-VFX;x%dGQy-6*+PPv+thIN1w1K7^O88Y zzt~xG6y?ZS+Wt!7oVTeAHa*^Uk{U+HfZC^oqX$iIRVD(!U!>vo5j`N zxEnwU#_Dg*u`9cW(C`+yLoy3?_lsDrsv?-Db6X5}8r{)u$7u2FhGyFku}4Jev+878#0LLctmLA0MRX4mDkDc1`%>Ckfo>#vQBobOT$j4s7?$%|;ZoK1Oy{GMBm%wf;_wp~&>#)b#M zWnJQFab8@Y0Z7+a1Fo^1mV6PzM>n6*F4Sqp?|Bl}#VY4p=Q7fbjuh5d<$CM(=+nNK z0R)Ve!l>6m;Pu5_7wpOAfBE~r+1sKSw5=X>w%{v!zP5Iy!3lj4BL{BEz!tca<(pO# z0BQ0))2WIilQJ98*3Q?mDyXV{$#G}}v2luL*cOsq>metET@;$TTEz=ezmZ^PyLWuW zk$K!TpfguYcx)UWl66KCK|Pmrd*3u+8QY)XcD&24yWa>5+y&EcvSU zWQHXL=T%7%Wy!Bq3N0``Lg)5&Oi6!7>!xc5>eNE5d#%>Pe)q%ni~be^-gbLozyIFW z8>$)DxKFWE`+jT18|{ax3+KGIQ~J(bN#Ak9P_^%BR$JrP)!TiFRj*#Bc69v#Mjwx3 zpf@f#VMQTdPIvHR@2I`CJXTQLiBEGmVt(`4DfUFy%QA~E>23fC_b3qm>A$Rve=&*!}M^5W_LDOx*Od-Eeq#u`5tC(#Xr};q!r$}0j8#+a&<8D*dz45$E zX{sW!o|Y>6ywUH(N>SxPzDMFaWt`ACnX@Zz?vdKvNQFJ}q>Z7|nkssdx9?>QsAvsN z!CgTK6w|Cfn$A7YWR|-kFP3zG{KtDGc^9JKEa)Wkal|oWO#=xKqf+2cDS*o;#ax$$ zRy*l+eM_<7du`-a*A5dz0p@f>?gi+R<+hyQ)nbAJfq~1UK{SuFMMe`~OuSv|RWLoV z9Lu-EF^$wBQ&_Zg{2h~$##HH6AO$?eDIlm2iK*yvO6oB~h|;KET1ZZu4n*z|$E>K9 z4(VXIv#Kpn)o0rz^evocHqxCp;v6OHE*fh{a}#rhw=EK;D8Q@S9grHRjxgL)2K_!V zEyPP;2jH~atq#ZN3BR@CHWc%=8w9V>fq~`}s^aoudn8z}j;!pr9y&C5nNmG;qu-`O z)sP#GpL}IigSNSNDF;3451?%}6?}OY?z<|&y=L_F3N4sAp3>omETM=tEDmDi2vB&C z$W<$fayX<|gcwn3g`-(fV9TRj6jy=;9oNQDsm{k@l;A!| z1$0Z)aL*P{nlJ$hcpR+|(15ZvdZsF-4FSB6<%BY4D@PW%0nNj6+6nFh^e+N`>6EVT zjp5x@%H&_T+%Gt_NW$LZIWmhJBIWG{=}E})%GKD?S{-NUOow5XgS$E2j2LTsMgtg# z4JlB*&<9?ja2ZEsmLPx73h)RDcswQhE!RfbV#rzt$Z!iRg=w-%RI|+ZAl_m`$0v8&bx^BU@QlQEVwkO1$ljd^&7;{WE9d+Xz`|)rBP9Kjp8}~njTd~O zO8YQ>M;po@V(B|~CH-;`B{E^CK17<_9wGL+_wGu13wbfa(1;u=TTcqvW$*+G3_C=F~x^QBA|ArZLbHRp=cWhphtFPseRvT3Et z)~h>Cv4jfM_jEd3FsKYPDIy5-n4>zdMatK7(j4gqS(azCYeoC4?AwUrmgfrGSO{0g zHi#*j(*}iAwZSu;KFQLtRE`f&d%PD($JuD0GwKzi;n@6-d@AC$+3(TowB2pj=XMcZ zQngE`cajJUjc%L6>}r{;Xdc0xc(}7sQ#Pvd&Hx~t#%u#5k72?&$9wi%)wrn|7kqKb z>9x4+FY9V-8ZMBrdl18=`6}~ZxsnIlcO?&oE!TEu9Kg zX{%w3ZnBJ#B5FR^)iUNjwQMRc)LDcxERfNsWtz5t;4RzzAA@9_RPdkm& z_jL8$1IUKCt4Uu(+@^A>NHe}p$%fM`5-J(D<>6_$)yebb)s9)U)t)E2s4}$-`8gC1 z33WnLMSd+nlJ~pG2tQ6O zT#1uWRM|_(#GWvMPW{_B!qY(2(XFO!*-<56-ll1LNaA#td|L~L-(_%jzS+5Q_Vi{| ztJS;Rwp1A$bpkh;R==&Seg}?l+6#w6`O`R(t?w9N%q#$UR14R%RPzBVkN=3Hd!BI; zN7~&u=`pgo(pc>D%MuOxR9f!*w+vjfWg-IqCAFsECr* zTbM4ZVu#Vjyk4lmFvN8%RdfP*Wr<9p`H0N!^Qul@Z^x?)PsN6ZM`_RF&{3);vsXsN zIaSjHNf^Pc>2Tgs&lHmc_=%Z5D_7jC-wBb@$AkN0;D#bA$j%^M*|%$VHv?^%P%Yxqg!3<&Q_{h4Fk74_9ICa-py`ND z_B)|L8OI}}afOR&w7Q@wz7>`ez*m*uUunakv7nJ$M90UtF3$7`gL|Jt0m1lC28M0h zNnZ#EX*c=#Ow>yC9f$dPj6OeRQ@C_`!BOM&a0c-6AvE83pql-i%f z3GU|j3B~|~6`qy+xx0x6xgJL_+a89^gKtGiAD0kJUKS(F;d65<2n$^J4T` z%cmv`w^F9WDablqS4r3EO|HwT*CQD;Btx1aBY5Tv^~E@?jI*lywa-Afz0CUy(R6s} zaFPekxs*yvcVwCRs(TH838pAK6{EMJc6qUe;?UBc3FMYHT?n9_`b^Ssm|5CzD!imQ=mc z><04Zs3Ij_Sc>k9$2lvR0I|@O6h_lDu6VEtov}u)`^}-{IO(o0BYq zC>_P|fUS>X+E*8&_?T~iJEI-=72Bjrc*j8I!;ToL7mIqpdz#(eIe}msJK|`(uG#GN zzo7L+MoG|;Zp??zYO7>TVl>O%uF29yEPd+mx+gcemJpO+)z;o0HoLE%q?!lSKq@%C zC6sxe6?RKoqaX%wml5Lh*1Obu@^}wibbhCn{uEo|*7ixOX_E@%>nf$GoMw}gq>Ff| zoAOEz*hjeVTy(!uV6qV~teRa8;{eLIxEbof4&^-Ja1DG%QxV zUo^JD48Y#Q*`_j)WCqNHp$LNRCS238pf-_RlYxJ5nn+{{>88Jxw@hUzvClh@ctMzz zhSP8;mn%~aafP#rCcRCmx7$?5v^O0NmDB$47+l*g>bBUTRlrFY>^$2=^4)@I>2uGxY{xiUa&%L z8l;%8{AN1Y^``lszf?t;Gg7xapj6nw*?bwV*wE9=I>Qx1yO4RmNXmH?4MHb#4mlo= zk!~xhg25|Dn=ycMN9jg0txo1N`(8-#RcMQp*$#oYOG;J^0%VJl4!?R_=9$i~!dFY= zt_(W-IrqY!)9dPAM9TX7NZGqc*=Cc>%@I}QWm(Klt{2!FX|CdyryNB~C{fO7&zU>T z26d<*7j$D(?xB-b^%Fp2<76B)Pc~{O?DqIN_c~MT^C???HI+S4F5z)6J;@%>X=gab z1!k4=vqpGob@`rZZwahBYrT7!6f!cgGiw7Ss(unmP|9@D)uh3P8B)u|c^>gT#>p3v z9y%wb(1y?2N!bdk&W5-*8|oXq09Jgw!aXFNH5NGYU%ck)baA-iKT3|GR!>L3&c)qr zl1sl{vxQp4z-RK9RABTP(ccXvs{zy6ru5(5cj*$T6#OwR)|qH5!aUg9JsV;x=ryw7M~M&`ftb>_jAU91$jRV9UEDL zWnqsByO%Y@+Z1FJi~*|8R7pFMY3KWPL)fRX&SfpWS|T)w&RHo)PcvLqaSbyxec$o9 zhL0K!)vzyX6E3OCf7lHl`2(qnL*=ay`Go@u<&Dc^bzX)`4$Z_oM#TIv>9A;=6jLP} z!?bPNK^5PjDuI1j_~vCTT4c*9hm205`5=jqkd>*QY*tCPpKs!J9?{+-Vf>lOX$}APaXM zt>7(6HJ#A$sU|{|AV1%tR;hP%dR|ehNN5r1$pSC1sF}ipU?8FKSejO7Se}v&T6Sq3 zIKgG@IF2x*G57LCHDw&f@R47dm_-LoDoR6@OwIlasYoAt8W^b-Me%brWrt#2A)eU3GFoWvK4V!Qmg#68tL_&UM;D7!<7gnsFB z36o76FUW`)A$=#XVv#;6znJ*08odS{{Q~=L(wa~noV#A-k-QVYq8Sdv-4`j(7guyw zTUpgDpbyM>qi;CP9|LAZ*d ziXJ0Sd0k3gllyi;!%v50IyQIt8b%Y^h6d%PoJF%?v|$(rpW%eOs(*B7Y|`E)$MYob z5dr>egzJ&X0uN8@lA!y{6`f{lGGUv{ZZX9(Jk!WD>-i)b9mh&eikewdBa^!ldbpFR z0#A66evDV;HR47+#tvh0t)B5s54fod6$o|`SRELG=$RhE;bzR~4U6n-ZH-x98YNGhU}rz&_$qLPqtL*Rf1P^90{+GQI-u0UL?pOZ&oxeM{-AHrb@{ zc4uAR)O_5k5rI_CIq{1+|K-_miW~UtCT%a&7`tNA6k?~TEkaw;u?&V{Nk{DIx0=$4 z3cDXy#>Fp?^M7a1KwVih&?lG`>i#@1x;Ewf^{T~6}6MQ^J*jSGNU;%jjY zGa<(WcV_VA{W2gI+0%J@KF|pS&@6O{S-@Ui##K8Kdl09}q)6lQCbI2@M#X!-tORV? zrfk_gB3@vGfOLU_9#)o|9My4~JJfI2w1EO+OX*-@sY>H0U#O+Cdz38Kc7WAFMo~PZ zgG@CwIw&36vpBQ?%fje-5+Xs(C)zGKqGDSvrjG>lYh3gn&Kh$ZWR?eO zc`}+bLgNPc!Z(^P&#mtozE_RMR$)0HTcpixCPEXD-SBeHFd_gFN}>HaOTw<#6N@C+ z5`keLFFl!%Yuw~A3sP<)(r~Xg_WjJN@G?!80OcJXo_u8cF%;4({)NsBlDDyw4!fEzPyHwZmbvpRlh zuI)Lrv-`9m(^$D4qQW(tR+eO=IDzR>w_V?}1K@@khT)LP?FF#dVcNEI06g0O-iS^=kur>XC~}ThEp1+8642@4>%6e!dOLX+;=g)o4MU1)lg*DeD;;Spu*5 zJZLe%X?2_QsJpwiy&5~eZOu%gzZf0SaqgVOdxs@ni)vn|0cCy0=X{MZ$G|B#Uji{` zS2y=)J}1Nd9S!uRI0-Yxtz@4kZAF`aj-5as5*rgT%9gAL?`D|vJ)~GATZ5S1Kd;k$ zHn&G6w0i z9usGqu1^BuSgPmG=05h`iCXtSR6;|EC_Tz@L2Jsh??+G)owH|AqVJ0cPE%_*=+iQG zT7;u?5|Liv_xdYRo8vGuiEGlH!fh|tBuB|>xsZa4N1aD#Bx{Uy8N7NvJzs?+LG9#2 zJTVM2u^|R;w30+NkEZZwSj0-a=k(m%qQF0hIRLws z3)yeK&s2w+%7`E@fe^AijK)2Wjbyx$h#xzo!9S4lLN<8uatJ@yR`?o9PvN90FTy`( z`nWY!-f)WYUryhY(8BTt1m+%|KT_4u91q^K0Way~)XhbPZ)ri?qGg4w#8kuoHSAmU_TA!0qgKcFhn{h6j(QVI@_WEduVtwQrEU=*@xFwqN zX7Dyus}{J?gx_|x7ZckOMj*%8>CP#odoG+&e{qxHzeSVnt-$!V@1tq`TeR8M4W|7$ zv}m7zuS2StpA^ zjPhuWvqw?TL2!~qDZ~1x-=awba3B6l$14SUXyPGo7^leg80$yLBolTZTwDJqxR}#W zhT{L@?d^VL*|z(jeUI;rqf#RAfJ6im6cop2Z~2_Q_5E=WB78_ZKm-yG2<54|ySlqp zS6B6|kJYD_cnF}7fMX*3fP@lZU3_hP9&BVgF~+eYl;yngM*e^(_d1ql`rz4kf#M(5tW*6N;f%rU>moO6udFS4QpfJr}ZdI=pbx-H;$Qs6nHoYp~F&vHFL zfY|Uw@H`}r=)|zuny2R<7F0ARwUHEe*+>|3(f~;Vviq}Q15~)(IH3awMN%LL0EYDQ zAbbnt+UeBQbe^-Az=qPsjP$}{10SFMJm3sNtA+xI9Lt&Rgp?$~&T}y1)MuM1m&U%VKf$j{n(s{K82!U4u4@&e|KD z&}YfM6(m;ZS$GF`0J+LI6_1s?aRWxYd;TqM4^Jo=ptpm3KA5{GUyOIEo~1_W=!N2i z$_Z6-BvOVCXkENqt3nQ4Ry;}p0YAD(YdfH8K^ZuQ(H{r^s1e~L@|pZeRRFr+m66dX z@F>N-UXi)6l~!?>UV{4tumXUZM%n}qQA34kpgul-t(xEEV;&R%X%3Gw*J6B78a#~a zLN@#JZ=_6WU@>$<46+LzTfRj$kI!XaiO0Ep3gaTa0bN@&{PwFFJWP!Ke6{sVX+RqX%tee+mk4cL;?vN_f{yyuGCYV$S8 z1f>A*((v5HAq;}s)foA{tmIwfRFU}&xT9;@|NiihTKhJqNrc#XfbY?f5liu|V@K7` z&2>hH(rs4r%?<8E3;xDnY{&y&^3?y=-}p_M)yT+k6e*0$furYt~XnpXVOw}g{N(uZGn}uC9O$#nd%?qo|N2Q)54O+y;2>l=x5#< z4>U4pnY~(h-5jWvdDBof>wKuwy$NsFtbDv0|H3D)bL=7wyV7L5jvKUtFroPy#^%3H z>m5d>2j49CQe7Erl_ukjHyCAzT+Wb)XO$~qIhQQ2b-*7w!eq>F#>$NzIsDy z8ePCrEgJQhnC>`6Cc@Gf+0(Rbej=-ax~P1O9&oWmLmx@_Z4RzzFq2=MfF@Mt8|Cdc z_k!!&amWMgD-#e)?Wh?eYy+g!kn;ce&V7c&B1;AE2OrfMMO?)`2&Ct^d#DO45~Ob& z2oNCN;#q`r;guj4}K+(mZ7 zLse$#CX9_WEd+FmLt2LP4nu2`cUu}Ivi#F-+?8`}Bvw~|%9W%1yDEeg#)sR z2@)q2uhSi1NDqj#JHRU{uZ8$kP&~9qS`_E46$W%FVL{P}nAl=XuyYeCeusZJQod}}x=aMu357UvrN_f+rqTvyWlu%xV80C{zPOXHoX zZTK`6)9T9CFXmg`3Eo*AotG22+fX@NokMnAIt(+srOx2SZm91;C4*;O4mr>Zs;}e# z;*<48N+94?m*T{<|FNfq%H)qSF)gN*U1>q?GlW2<_C^_kQ3km@S!d%6UPK0+Kgtm4 zdWg#o7Uc(^AWC{ah{9N?C3Q>LqY}gxZ)la>GO(a3#qokrO7V3rXQr1k(hHGykw^Av zFwWtQa)@(UnLa|jA(M{)pm3bYvsyNuh3UwZxd05vHFF%OjGmK(iEugUjK0b!jobj` zO~5EryZNAEWM@5{Bjnw#5N64MR+plE>eIV!VuviOPao;@(k*@8J6fl}ksP7U5$hbn zh_wYMF1)C1iPZC=m{yZyoFf_QgdpU$&wwI)rmnL`Ib4V4XSvs`pZ2Wgh%XK!-~#d5 zr8BvGrbwEr9{{>CHdp{TQ>-(2eI`Co1y)t$k9vxsI`B17^UvsCCscjpBFv)W$0LAw zXhBlik#dUjJ<*v0ohh1(XjiG`c}bwa>}{iepio)l1UPL3L;{B~z;OiOU1y>WRo+Na zR0yce^7)4nM6TBXW-OGPddeY+ywAyVi-S_RtMvE@oE~yt&pbC#V^nSurfoq=#=z{< zDE(^9u_sx;D3+H^-{f%&@@s{w|9`(x{z@~ODobgT2BjH1L)GEba4ZGDzUVUU*kPRT z0nUSyDb-66C(qI)NdWpy%QZX>am8tNeUr!!e3r!zN;Ot|uw&eUDo4y9O2+{sP=*{G z?9R8zoP^H6DD?mQDAb6K;HAcqg4johMoG2;p!Ru*S)vmZPq>Iy?_@%cr~q~2XqleS z_vG#oucXWb=qP@}FpMTViEgCjEC4J()4$NS;Wilnc4S0!8GyQ_#|6rgAFThWq@eE9 z;fcQ1_LQfmoD6;NM-SAFu07OPW~h_+bQ%i=?n6gQSm3GD;AhcP3Y{Zq+etkXX5swH5ht|5K9c0$X zaa9>Pk%oxlfvB+;l4v14Yx6_aa$EUweTE2(6IsjE1ul28ZFyE``++;5Wpw(gF0oGv zHK#YI6DlzPjUH1ny6y`jmKsdf$zDt(VqC}fCuEGC{Zhm0+C@`AWJI{J&HlUtp^lcb zL_=PfLPSH2M0KV^_alRJj;JvM%a7yOnXoe6T`5$r(PrGM#ij%G8Z8kMKE`2znDVHq z76PO9gh(|JIkca|#$W!<2oSG1=4b0-6@WiKrxqg&;@y;gp|)!gQcxaE{0;YcKp)EQ zhpIKto7PAf?I2Y|izoKuVC>s~Z)o7&8Cd}>$Z=%Qv|)B+ASjj!{aUbl1F~aq$w+%J zr;X`6Kh8-kJg+ZXxLPZ~HD3LzR{JS3NV&)g>e$(EL(3FWs3qXz2qlDKxN}p)Z$J4B~tP1a>09}DDerhFPVfMOx5>&gIL@%svo z4S!e{-AH1G8FHe^ms#1p~apbXgQIuqwy6t9tdd1vKW=?!$ zdPtG~F(_5Y)B&SPw|@6cEFR;SG0<0$Ud*=&EtOAY9S2XEA{gWpVaP@YTPOT{$XTy) zWo^DieDQ^r%W1|4_6a}L(PriG165>Ti7&3DNi!#>-FVxT=*(%x5M~aWL}EeFx*r=y zL`0FU*#-0ZVj2$pB zaLLWrW{a+Khvw@08~CPgL2sG{+SdaBJOV zCC+U*UbCj9z4RAVVU2LUX<@!KKpKrp^AM|VQ8yPUkmazyGN56Zb&uJ?C$A|h0B+}g z)`$)R6IoBN#unP>{U6+E#n7Tjoo=R;a=0w{Vy5zF6x`Ns2Mnk>*RtvSeNLHoeLNZ* z#uK2y06q+>Cy!y~ne2n)$DlAOHxuy^J#TGul0j8H1Ccui`APZwwTUag?kki*W+ok9 zn|AU$HW*yjDe(zYM9kDDi<=9OTN`XT*;M%C4+aR7t8?qLDX@jj+8+=G3==SEBgLIX z`x<~$@YGfFgYQ&v-B7O?R7`%ssA1D#73!j%e;3PM4Ny=nYg&(4FU|ih@_o)w2q#)M z(!NaB+IH=__k_(Y#QR#n~JtJVu$L+fqcrt^iy@dm6ojNYeoT8o=G@lpxCJj2h| zvS?Jq^KTXaS7;ebW{X4kv?s>B|GF0Y&d+=cU?c_WOow%~XCX8O*1{p(&zZx?N`RSS zVtOzE4Xyx2(DMgcXXtQP!Z`bEU43TmX`h*4;^^`a1ARfYsVXpgr`+K)RHI4KI|4ny z_=XLTHUPaSkHs8@DV#HgFXXr*KCpI0hAWo3H#5-wh=JO`*HL7*Iq1=VgWm~Ro}d-O zrDoJl@SPLZfs3Y^r7{B-wCi=Xh3hT?Q>!DBqWjUx{j}F3lmQ~As2!PT?E+R&;4cu- z&$HaAXrx9U6Tmk&1K?J!N-1@SSKg#L zW>uIYX3dk&)c+?ihHzD7jV9h}jUwj3p>EjnMQZ=&qJ1>>T$wH;%3wKO;nA2|WxmhA zNmDlPrFrSE(Jnh%P+VcWnJp)-D(S#`02ZfeTR;EG-}{Yymp#p7(>}pSGJ@Fr>Vmyx zt1M7v630>&>Aq@a5^rq5*B0n6ZTn&S20M!;BWyvq zeO5I?ZqGYX(?vI%Lw7>VSiSTSSt1}ZyfI*3Yl?l_`N2=7bxW1Xn(VGk20t+@YcI%u zbx#I@f-)~I&``Km(>-;^muq&@!S~DiA3u5X=2UI7Lh(LlB^h1Jh{_JC>|G0d_1fBX z=o${ZHb@TvOs6d!o+F?nDmSz*AAGYqJTj2_W@DA+_frcX?zC}|LTfr|Q$ravug}lF z!r^`3k!u)!h(x_4Wm}P{G?9XDk&AK2;(1m-j_)e~?E3pzDw}ZwkAbLT-g4z&} zmwEP-W5FRI!TYq}me0!v#q6akp74X%O~n)Y{S{x%8av_rtgb!E>d&(#iSu&SX_enA zWLD*W<~u!$xpwQpa0PKWUxBt2tp=K=a+kvnFxV~71jTJLXKI5!pDQ@47`&+t49nfl ztZ1iuypC~z0A}qbu7yaA7O-e-p6$$iMMh&e^+Kkkj!5-^8-!2_t95+ij?*&O%K0fg zi6+UJe!Hu$$6KX6(ge{giPd_c@z?3tmMOX-v0T|)#j&l-9N(1%pUNcL{1uU>xRu z^jGLW^Y?#mnG2J!&@0v6N2m&%aXP1)U?0 zPgPxQ$VA!z%47Fmz%bV8}P zK0N1?vgxW5UkGI7vKH=ZdWOCHCcWb>X|jOlh#0?=?Ef{+$2$5;-5#*Rv0!|DZi>_8 zM^y1j_0oIEdIY{u?!q ztJD!h)gR%phMDf!`;MdET8mbUJ~HmSY0XdXM#E`3Ujv&VBzo-FAyHh8Wv_g=5k^2A z^sRu_lIoBedK>a_zwg=z`Uxm0TxDGbAqy;ztZ|jp7eDuaJvtI46;NazLWMjl8l(o| zukXhkK!iscdj+^O@GQEXW5q+#Q1(G2wILNreRxntlspK=x<<0wAu`UkIB*NqLJ*V< z+%zj3lCm>#f~1JoauLL2uR;cFLrv-bWnV9~qcJBVUOPf0#rq1C<-(D(Z-R(jfgL=E z0DI1g10~h-J!ytsYUD_C0ri82K&^o56#xVgQD4rewIcLaZuMwCFt2(MlwHA8)4ew>tr#<d5a7#CpGOgNQ z{07z;1NBl7M+M(Im|SEL1xyGH2g%ko5j4^X(4MP-#7pO zs>9j#CMl+?jTmRF=85qq)Vz}@YqTk%t4rBmWNYE=ME$DwlOeELePcM*ws|z8n084! z2HPr##r8C^9gbSI=|6`(_wl|Ai!+W4(wFiGoR~HwtaF~r3#{i-h7gx- zdy}MAv^$dOkGtC3KL5(0R(eRDz)k=JigSz=0Q#uz=rDhvnMjsuR&J|$ht#w#V~c|G z0CgQuKm$A)ZWMAh*AOq&u?4*mYfCdSb`Wigs36xi0PK2#M=cGtdNWQ*trjPMtq%jh zdg9)RPs(5}e1tnyUr#=D_&`#n4Jgt%0^=W|v(-Jam=ZXXw*c#+K7@NN{REm1vzc)m z!_B1$1{-^w+aZr+0k44#=7D+``!Q_{?x(=#8a+mVa+HIB6LHW^P+1qj5Y(Ks>3m9E zt5^mR%uJe9qeG7;Wq53GB);W)tB8v5r`I45YnGnXShxC~mPELtJFWECc#a!=C+rosZ5+`d91D3vgZXj_DBvI2KY zWXWu%wW?^@%;U4z7lJnLlJNrM*I?z?pTcW>^14RbY^>S{3^H(hapP4IBW07V5s06b z<|APD3g{p88pABH(eO~=U;3GsA~)^@YKWscjlm_C?$%`2Ma-AjwS#F?hO2Yp!2+}u z!o^fdbb&Z;`=nnOInywVL}%>1>~ZJEe)c+~KynSS5TVYp#Ze2Cp_g@a9bzFIm17kA z;OQ)vlmP)TUTC9gj`5&;SSC6$1jA+=hjD*A$+AK76!_}n*n;@Q;pD|qKPO0N_nHI{^dtB-@}rOd z04gSkeA_e1PkN&Q@REw37~a?Y6CB@I@-yi}`t(Fg_@Sx_+8(f1GBzh!86DpH+9#lg zOt;y6Co^AL*d2`R?&2n>G}7mJ)VE(oIT;#+<@kKNGbb)tx;QmY_c`q znw-jfXZ#<_;dK4`FT;VpHM15dcd}Bepaoi`JM3^^YlTk$Z5YBZ`;ek=c$E|__GlGg z<9un`=J|wa&GGUQPKPC1iHWUsT2Oh^({$2#q`hr9Qb!A-HPVrlNJ6|lJb#Enp|$RI zJKC;I#1!6}p|A(Q)C$q``9l2%V@!YAJHeV&F000Sw6q11QP3~>c@ys%=3=-Y z6Ji{)bi1IYBda^F7_i^(agZGtCLYkS9LWv=X z3yreL8QfEaSq&pn!mxY^P{Vf7i;0%U_WN2l=18|##L2*9(xPAcjPM7*7EdYUABedq+en0P5{?>$v>Bo5P%ER>m*JB{QQ|Wo67W) z_liT{H^*a$yufgxULMUp%~4F}r4qN0bSeO3G)&W5Nsiuu<<|Dk{pmMv9+5`^YkH)#(NMYBoIxHAR) zHJR?`tfX@#?fSKONV{_juQ&4%0HOVNWTKzCmOl7VhsO$wi_S6#j?A~7tp#s08fyTQ z$;`AhOJ*J{>5$V3rgVwsscEb4cC@-4>9|=}%(B-Q%10t=R{Q*;wz}k5O|o#ilVa0_j5J-yO%3O(hHDYMXEIg-x86D@?W(i+ zC6I8=MfMeZ?Q%p-ASE5VbLpU`ygqi#u{)oso4y1jc2PB!Vo##)k43l7ZcC;{_qovz zUD*ogO$JT*+G-6jjU2wb`)%_?pO;{$r7@C`#5GotQZ@6g$Y>HC*!gl^1_BCw?w;z1 z|LM~-P0>RIz<}Ev4(0HNk>BtHNxA)s>iL)HEJ`cdj`D!*=r+4c*#pjAS8bc>AMfji z$fJCrF7`~76u(*?6ua*Em-o*r4Rvkp6SY$VlFbuYg-dqDc|->r5YRBoK$(sQlRxK4riH+|?PLSTAG))4IdK*f%0+rUX1w zAaW1xauWywJSFzU^N$)-&U`{Nj&(p>>4mDEKmRhxqxrm>tb=6hzYY2or^Q5KA4jY? zbjUaW6Xui^iwnR7k+mR|JYCHcHnzc6J8uKE4y`e6)DLtnh~7@8oBAMxEa0KK%iAZ~ zfDkoRP5*egzhWA+0S{WB?ZP99>ai>MX$&>NuWMR|TC{K4>DBuYabF0)Ul?jJ4dH-? zFvQ7H)O5``-(cSYkfkg;X_2ns>R(nh%RKTrT`VpFh!zWY_|hn^uQXokM+B>^agR@C z1=SHj0()9pnx`W(GxCe>&|5Ls3wdCkvhpAPrC+m7G#ja5@GJER8F1)f8e6wz(>M%y z9A0qJ!K@L`I@v#&wa^i-Z%9Zdc3NR^&)iZwsGs`l7?oy;CpZ0WaqpA|Mb|lBnxzXwJx>1oYAkn1)AnH&f^B1v)(%Igx0cEJs^r}d1Mz&?&&Zn9&8&JS-9ig_k;x;m3B{-DN~T5~ql=0Jmf6olUA3^-=E zJ&+=>b2zZ#y#*^M7UajKMN7+>&NnGY()P3k)Rl@7SyyG5KmR(7rkSALSz%BlVp0rT zDAG8~=?pniV^$3Xo7ZQJIi#0XKWfXW#w+cvqt2wUU7GtGCP=Ps#j^umL6m@@5(&pv zAJPKQ=taKEZuL()%rf)P)d-wWD0{A!Ku3R$K&N$xSyX^+NITj4G*CCt5a4i_Y<14q z6{Bu%G?35}%m=dl6r5b2+f^V7{JPE0r0~+{FmLzNeqt&DloWK24-6hzHiz`02~viN zcoLp{ZmzgOHqUvnuk+LU`cosE^!wXe3vN$U8)z|%DC7JtC;YAWXzU!WzXuYcT`DW6eH$@lM zQIEvJ_yRnv0~sT<Of#gW4P!Q*IP<6%5&>b%$^6@r5!cm;wsZ#0#^?|GkwqH9BS+S1!g zmSH_&YnQV+x)8`JYgK>-sY} zuE%oxVCAqJTJDvcHE-r+N9Iv_B+Ej68AJuaOq3V0DEbjYlr3gC5PiZT#g?L!*Fu+f5=Z=UC!wTF!@yI}_l@a3KX{xD4HMdU*cTBW$?249}Yn zIcZo=RmM%cUIv_Ia50Nm2aEs0yTu@Cu8t?7+(`A2Jr~8$oTUu91$oiDeH@YJ$mnz9 zU@nhwux|vp;Y?5vX~op^bf$uso%mMH%^-AQJskp8=td6hmUIq1G)qd&$D*xjhYn$- zX0-zhZ?+`Ki|5soS?V~eP}(V;N;;=xQ!dr-X0od3?n(U|-=7M?m9F?O--w!zZAXcU z)UfjUv0bL;oNXGBu~-Fs%j^@K4nk)id&@Yh95eNQO*X_1yH{)DY&2!W^cL!O| zzgM@_8Aj?|alU}!F z+RKmZ5KF-a~CUpxPnSJ)KV_$N3|FLt;(jq?ZKUJ|v+Q|0$xhJ>e zuV^BFs*+lyoMET@=UxOmBkGc~hxj|cvu=j{^I;zyi~a9^nfhCV!u<}N>xfaYc8 zo}FY6dq&4G_Uym|nQIAXI4-y|_$Bt@f+VorTYn&uH+{NR=$CH9l7fYb+MyfXItVGn z29QvNU+M}SSO7k|bkN3$*duV}F+@UU@0Eoa4R7wD`nF<_XgYpf3YuGS7~i@Qk)&mi zSM~BLY$7+6^Fqh57krE&{}#A692AQeBzZ1SM{gaENYwnzx_@eSS(g5KG_<04$sOtb zU|@N!2uv1~^P|{Za8p_s4ff!wVB@-PfG3Uu&kYt_mX5v>Si!6L~|m z2HrNB7iHJ8TI#b6KZjVtE!W`G!)6a|yzA-&JU9fdUg3)m<$$A&kiH}eH9ewAeX7c~ z7A#3c&EbUeJjr4?9P(d@D+RcP@s~Bv8{0SKk?jKdyavQJt=W~hAo1tfoW&y79p20V zhwwS=3hYITh>K}f*OCaGwCwLAn?rsEsR8a_z7*{C?uZ) z66i$6Sf>Bp;chdt+DB7mWG8?2MPd*Gnl$?^rG@031y)1GrUytZ9Pp{x-T~PGamrVY zvd-~~_LUg09K|s=R98>^pZt$wB`aV2gchY}vIL!Jw7uQP!L9v0IYT~Q=j#DY9!KgR+5|F~z2CHi)@vt>SEvjQVQO@^LP*w9|=qCt+tzoK?c-J0z!d zMJ3;MbRg~!dy1FWaUNRl6Y6Aeyh)b62z8gtk1yjKaL;j8)Tg1Z^Q?6iOkSXWjMGO} z;-di9o+%|Dlz1$eRKkV99g&4)&&BVnJsvbCsnLTFA0{`+aYat6)FgRmC3GyXVsFsh zQOS?#xubJX!*uN9JU;S(ZS1y)V_q|8?rkeMQVTZ>=G7K(?Cz4{YGP85XC)z3#qqtH zEHy2(^M<07w!7jG1#hMo9V}A?X05UyY|`n6)2ypcAQHRuEemi&oK+Xomial~&s1>| z3?fg$%BPx?RZW}58Xz>|3^XWc{vyC;$g)vc8lW@axWE`Qvu2I0IHrtVkjzV>MK-7Y zJF%P00UpWI=CTr6SFI?X_eXn>H}tuVWE;l`Diz(1MB3y|u$?C912lqT`F?zp{xWJ^ zNgT%c9QB0pMX&z>Z6-d!j}qRz*3YV@7>4r>6F)fDVr-<5KRNKoDz)-o3MJ0OLKyk zileqfVGL2fDFo+ZlS*OQLmaI=DQoftS+c1*0%u#Yr8W}$M*GZ~pK%^)D=&4I;F93b z;puHGZ|w9-mTEPKgDnlf7vn$q-kUcV%3>;14%HW_;K41f!uQi`& zhJljvSeb8|B0T|J)&J6W^&t#gfCZfbw-7OLSs#h=Xdu=A0sy(%vQB~MBnK`U#j25T zsCs}G*7XJPz^txQvR2b>cVZv0`vo)%eb_LGA=qxK8X<6V+1#eWu(dhlO-hI9GJC?j zZo0L4O*P-va5DYEENMFc17mf}(6-K(KGk>9s4PzLRr8~?Nhb&noLE%V6IG|y`}?#N zYMBG=Hgw)gkLa_PgfA#4H#CPVGaqsZ&3I|_+zLp9jOj|}RcKb%lg3Kx(>kr+k@@6) z=|>CMg*EGxA9E1&=DY48|3C$VK3O2W|03S8Mg}qlx3A^+jOMRF+WnPT+$Cv=->R_PmRaJADv-zI2+K} zZ9$5-;Db#j&)BEU_KMAo-6{@b!xRj}9w}eflvC0smUio|#*TzN&~@!7v{cNP;m1R9 z>MCyFObABBh2!G9cTBX^of~lud4F+%DlQp{n~-A&`n)?5OSRDCXrG%3-urX2S125* z5WGf%P&5ea(IL;CAmBT^P=onLN}IK@J1X&2O&qBbol%Ldz6sQP1Bhc=?9*`t<9B@D zoSzk(KN++x*@6-@BfBcucN(9qMajKQhOT_x`B)0__FjF6L=9|Afq`j+d4s}SLYhi1L8y5o=Xi2Yn;$qfoH;A#Xy6IR^S{D5J_(Y*25Wo+;UCaWD_mv z6zc(MVdaDNJs>6E(rd4h$Os405Qdl4A;ad-N_33tgo&Ki$Q9T+{gsU?pkxI$hKR(% zJvjU7tExOz)Y_b@BJ(X}C#lBr;MkG?cmTjmuD7Di#dqvg2!cD|oDlT!MnW$#1XqY} z(?pCDuYh9|pdPO0u0Zr<$1685602J`R&&YQC&_7T`Ed}}Xj{HF24)^piUzA7!F6d& zsz>1}PPh|ezR|-yfK+^}!#z=f2SpO92K5XcS_6LfP4Kd_KBMEu+Ph(}0{#Jdn+8m@ z0t;snuNkQW9fef!JkCr=4Ol2~T6`H{HV;;XW z2M{37))46DIDehBY0gaR9wkGEIA~^v#=3(EiMupMG+mhg=((3yjn~DP|wO%2uy8 za0F$0z!B1*O;qSJ4B0+kIOG$~#?iTtMpyob8vvlZ0Q%)7H=Z@q<{)>y!n@py(*-9E zX76oQ*V1SA7jt^IIin$Ie@X_rM4!<{c)Nd-k#~Gea_7BJCch0&vw9X;M?ezhs`$4V z{Rp6Nw;6*WsXXvgt-I5@8@H|-(XPzRKg}DBP$n#Ix!f?OF%;h9rG;CM07otu|cNmv8uoON@!OmL59Vt*LF*}Ov>`bG0lpjvwv^)8cqG})V zC)kyxBN;a^SR77nKb+!eewzA+s#YQxJtJ}!T9C`<{K+hTFdYfH{m(hBl7|X_Z%-_F z72`fg2Sn9b^8NKqcPMR+Lv{&zotn132g@tE|Oe z>2wfJ|4htcy)nsZHH+A6th2GtyCyrIGm=^ZQ2XOZExLT4lStCD$UlqfoFq;P*Is%CPvupva$xSGJb3r zIHrC6`kTpJo9i4S`P)m{WpI5#@EuqyhP8)mGrV-%l}QHvU748XOv7mnzoi8o7x0g{ zKg-Y21ZODw8ux!R8xSO8-G1_-09uckbn}Gc<>U`N;kWY%|JT0}prPV|PnO}}Vs@Vi zeA}6#87gO0%C-R6qj}^b%Lne_)a%*T8Rwp)J{xFcs77#S9UPmTLBWaFD3y|kcAn>k zBiH3vXSn11+M`7!u^W#(m6gwUoXlVesUS~$n?m1I&xM z4A0Q%H5|Y9)@i;~74xL!6H0^orjbpmGcJIMDPSvV5XbY~iEFU;o`w|8YRk6+-=pQd=i;hq$Qr%SI)xdE54ax%j*YvfKA-Eo)O`YCY6Wo| zxW=E?9?O&4Sazt%(pIR0Y1+VBJqMgy+FGCD-tDmhydM8+HUOnC`9D_wWxglPUSF}^<_d+&vJT@a|*t;b~Y z0u{l+kHr}EJN!kTRTntzs8?hCV7x9kWQb-Law<&fBld=(V3sk9ZHX3am|N8u&;~M|&_ujlIE1BqwC9VHZUhA(!;t+g*4(JWaDShxr2cLqKntDkg z`@bqd7LMDxx&qQkO-m26Ynk;S7vK7RYmNqw=~dzx0NS<~^Zol~y4~ioa48DPI=u)r z=enxl=XWUk?akL>oOl&DMo7JE6UMpYrCYU{DTOUV{E^5EqXWgSe1J%ppar=e6og8mn~5 z+tN9BowcMB4v91#uNKpxr+_0X$%Gqr@n9s*iHtC!iGM^G+^#csfFwX&=+JhOLGT^_W+QMKujF3rh45|hr387;|z;NHxX>-71A05Oq^DXEr zOuSbs;DbGkUFbI%bfn>|Q3nH}j|Xsk+5?OTTf|~1?mKFL1`TCiyZ6cOH}5{+!J!>4 zHX=NRS+t;{34oGDE2RmVS_MV{ip;DzUgu+~5Af){`SFTI@;od=mjfWHFgVeO^b5mE zrS)hMK2_`#NoT&zQAa}fy{r&VKM~%7$RNt(ZU1ytkSp9fEgWF$$(TZPfzyi!Fr2VJ z%9L4W8%8(=3Pt9q{Nk$gp_@Sjx7sdV41^BWXI%m?zWS5EY z-|!1LQ1#6A`48%2^+&&4bnF&_^;-g^*pY!oi4#PT0LD5Xn;My!y?YOp?C_(BuS(u# zGzNg`SUpi!2@J`JBx@%pc!@lubxj9gllhSsynb9ak~?)eppnJX7weDfe9>3Sc63{3 zye&-X9Ky}2dHx!1p`_gN@09Gff#vTBa5mz(K}W(!uxL^8D8?}8AM7sty7L7%GHzQs zn3d|z>qMMe&-O7k)FOmn$CG zo~z0a3^yDHS7~2)9$L=5245P#uW9kf!4rdWL~_T`U<&DYXzpO4*!Z>?J~wBRZQ3fI zn>S4YoH6YLLn;=Gh^Z!B;OJKrGG@sb9`p-GZf=Qm%u>VH)4y*9Vt~Rgv|_3PBR|v) z5*hAzX^XAFjeU4SRIM^yO#st0E;U}5aZAG=9$MmI9vR+vWwW_#s&JO_4TiXexyzG% zrptV~FZ4ikXPpHZny1up#^-r`rJ@&s(7!V$<|{$6FeTt4_kvfRlXy5y`AUz``p4r{ z>mhqh61-vo3}3y~BuqUTNYOw0-9BP=QKOp{+MDitx3G9946mPb+zjX!7-b;Kpp@`!V_LdLoX!hsI9{#af#tA; z#cArqbk1T&jdz9$0wrVQm0E)bpe1u3xP&Oe>sMkbdXf|Y)Fz0rWnz1vlf8?QP zOcgtMUxU*yIs+~kf8a(S>Q(Tm(IZyDpEtz0tFs+wyRd`IOLqYN=+a;`mF=^^EA^a4=rDK_Fa<=xiAQ_BJYXiz%v4yZkH>2PTKLGS`wEwH^=k% z;v=S`n+c%Tot)Iq=PYFxw&p`WH*mv4r08jucqiygC=Qh&PlYM|a82WsH&L>Vx8g2o1Fksns9XHZB<7v*w z+7%Vzq}es5m!nJcy}%MLp;^9UC`1rLCK+AZO(GS~Fv|$Cb$PH*;WM)m16*?mt=24~ zH*Oqnyz8oJ(#-ObQRZNjIUJ{#u(G+vw8_eIi#^MmOn_xn@iVm}X1rX;O-F*>BWn^mX3I0kd4VlsD)Hj|3Ub3XRE{k&MnPW8aeka6?-oj7;6a zo*(Fp?kr=hGdjvYa@1r)=SC_wv%DIA@kNZH0h~w$Oy0#Pn!T=^de|Q)!U-W$ftm^g zMMB{M$8nt*F3}zGD0vuCCd3_iN~RsglV>{5zQbhYiML|CJ5J31!d<}ls6KUxbXy- zXz>xqkzo4atFa_;F%4}$ngSD9RVtzU`khVV^u%{m68~5~Nc?b$Ni?Ekp-J5KZ5}Sb zHT7~95Q*X!Uh#Z)K`UO2RYSS(k)D7O-BfURozvfZ0nqqU2AdT?d5qJYHyI$I2GNe| z`qNj(`1VoMkr!woBke)6MndR7FhwVtGYwsOdcE6sW;KCoTAas;qB2fCj;g4P>Z07y+Y4qba*K%p_PG2bi z;$VUE*!VZTGrm>pmo+g4`YW^Vk1x&SC4=-)ST(pyHI+{wb3Y~lABJ{Stydf{UP@wb zlvv-b`LpD}OjF5&vFt=*mInTkeq{F}hDQLNYb1L#${q(Q$m)IhJ!(RAJ8O@N4{wxp zc-#NCzxU?NrlaF&*~%%3Ie!H38mQUX769PgF5Lj1w;oy*44`R!#7iC>6RDB$lvg&G zckoCl_qeLcPaQC^@wQ+B%O$TFG@vokGs!8g=O#11i zuA2hK6d+HWs;$HY`LVH1!5B1_#cZMLswj9q{hWD9;kN+?wCx6w-w3$Kg!lxL)i>zq zd8K--3oe)$=B(`Jc5uTX0V*U5uV6B-@~kFvAK=q4K(Cl`TbOWd#pTmUiOvtWQQ6WK z`x$M<`U{Yt0v8vN&0WLfpw=|@C_Qxzw-Zwt!3fr=^&+#Q6X&Gz*52!63<(NEF zp+|9{jWtPt%a(Lpcg$O}?iwM2jU3tOP<&QYXU2Kpmn)!rnLP>kSOJodr|p69Ossug zJt|b2Ma5OY$i~2gxZtDuQ}@Zh+Z7Cu%`~jkGyo`B?lspqrTctC8LnD$9mj~p`Iug_ zm%6LOQ2Lx(h_4=ihQ7{lek+))h`Ns&r_9R-CZUaWvs`JW!0)}Go}#V6Y`W7aAGe2V z)Y&6hqx|Z{IBh9|jy0RZC9R*1)fs#Z52>lqc87*k0~koI!05(v7uj3PFugpSmpW$X z*}6*6v)~mmv#%HrMB4Q+J65OkUh8OuXiIE1G+0jmGIJp=Yw%(xlMWmzAk#Bz7+9Lg zn2z=J%p{HDZk{*kFjQKEtP6hFq84{@2B7Oc%Y?S)9XRfTA^lfogHt}QNA4@KkaGVD z9Z362R9;8d)RX{a<3BhQ)7m1|dTZ)G1UrBH8TH~NX9xW3q z(CLU)70$W^bka0?%-Nlg^Lwh^q0fafOj^~|x@0_!FNk24OU@i|UZpr$@IYLmQ;peP zvXZ6E>fPkGBKflBPD!3LP$(_rxT=lZAT-)bW$NN~`A(`%bvR6Gen)U9tq6&c2o%X= z1RFnk(|ZP8j%4N2x&;4WIQ>4>jnUA8n*rMiSG4zH|o!3;m6IFa5=d0g`A#)PDJ7gyNoAfB!c>dGlrj z**Uti9Ai*2)}wjH>g0fKSTUP}!KTQDvU2c=$;)A0)dD=D07BrVD{j#85TcI3&k@PUoQ{J$)wI^@-;r9V)YSXT;u!OEHeIko$N?ei~w0(`4Ivu{C_B3)+% zd}B^219Fjxxi{G9D}9LXPy$IB)p+Mo>Vr z=Lg@$ge;<=cD`vQODA=gpc9iAikyh3{eo!)aN$?uoY^JoJE< zrKwqO-1P7U?I`me0-b%K$*2xSaaZ z3+OjI9fOXR&NXb91InB1)Fub9?}M2(2jI3XNcK&Am{o$^Knr$k7Mxfd>)ql&inzR{ zkoC8|0tBlBjihgz3sz2xJ^wdHIu((*8{A0l8^9KI zU9!!#6?+7-@8bz1X{V|^kg|0OcF&1Gliid0=Ir~)7Cp&+qwXgIfQ~|K#r|c0Kjr6J z;0ueF86VpiT4O5iMme8$YE&5u0Ngvb*cCrFVVQ!bU3|{)B}flhw4#fil|xf?Qjpgd zjNE;l(zzOuYd8>4caLO7{m_cl(DL{Nc1;Sei>lh*^iy5! znUA;FuCG>T3hJ#^(C-ygqbkB9qA;C;VpII%`1g5tO|^8q_eo~sy#dfA^Te@oy+0=| zdjMC%E^FgS0WZ`8;!Pgm(m<{Faw-4LcW6PuQ@dlOdlf-1Z|^QY3>O)75>Q>Uy^+`H zks3<{>3XFNd9+O+LW7+^sEmiv{odk>Ql;+!%sp9qke6922Ay?pM{1{}UGz?V+ zs%@Dct43{}5ESjeqkfx?

>N#GSXg|NRqnRNrAXnq=f>+)wmdDwqd7FXB+=K9Tctppnk6D;4Tl8 zyqkAxI@VTJR#30-E!*1@V0)VGdhFP- zI?Z%wi2yb8sU_er02tvMruOOF*WHe6!8XQo!KQj3gG*^tK7ZXO3L(Y|0$lvlv`gt* zXe4w$@~@LfvwPG+^m7B|^PFpNlMDb$K(xQuQJxp$-k$2#QOo3@cTd;pbR8%`B zfI`%^>Gf8Uk2D-1)HnZPKcMe8VPrk#MT-B=+kslh_s~+b%CnOmwf7Zd61bm$^BC>> zK9fBpw91v&l(edQZAOg%WUMGKe(g`adDBl0niw6KJ)r!e)$6KQ7&#s#+v>N=4Ol(5 z4B**jUy<$Lz{tUU^O>)Naa^r7=)?_`MC#NChSowRNzJ$0cVw00K-XkjCC-(NXj@&j zAi&hh;b@FItcaNaMkNI9w1iRaCGm0!sm*g$6$|2137)O@*|e1Krj%X?N&zy{ryQq9 zyT}y?V)Z-I4_D!*s#qTpnx>HTH7|=EC0wk5ZvlrLH?He!bCk{Jwjx5ZFm9(%tTsB) zRK3&6kiul#&-axbShN-wAXHy7W%i^V{1G1G z2AP!^$cXpdtPlKfTEHafqPj6zfHlYU;=+_j?F^HxaIae19+5usZxpJvAl47&M@7k z%@i%wh`aZFqG{m-r>acSnU=HO9nvjJ@)dnFZnZ8ddSpHxZ|Che`Lf)=Is%oIHnbuI zpXO8g@+h3AUY5!{)J$5uQ8!*M3Y{fhmKj+U+=AEOHofhn`B)w&U6zM4DDyfaEQ246 zr|oI?-Ck$sZe8%r_#Q-Zz=B|IZ62#ZvI=M#W*N^5z_(CozD*zMk`jcX(*!jSWUn9Q zs(Z7>n5JD`(;cg##@gll-ZgEA+2|kA%_RMWKlRf?!5sl#I@&R)P~PVVZxC1C!hB#x zEbbv-d`>@sSFePa?W(KbQMOyg$rFA7A%CTQ48b17z+3hVfOo)B70Aur^?ocDctNw0 zgJ}x5|5ha~&rJ>ih1WucfC&eYm8#$o6t6#a`42}xQL|#=cZy}5kG%rr3JP;Qj_B_e zTW8xtaC(uii*zP%yixDvUkKW8A3ri{=5YQA;%J&|P39?rX4|a5&JnT~($(1?!FG!Ajn}G3L&Tb!NqeH$gizVi69^VDeLpwlOT5r#OKK%fuU0h2_#KTw@hWuU zg~1Tan*U}HE=PCJ+}8!ibIe~lTpxxZ=<1O_R9ja|>I|^FNgK>m`rLe74>=qk2#pfs z7k_5amq{IS6m6s4SoGJ8Iuvc$k574THgFd{Dx$f2uAI@#0gVl^2%-Fry3!E)oH2v1 zgO8$XC*jnY(_eJFWa#^Vp$QZ?qIIF~fmBKLV;2GOA98%!(hLs{iUR_s1~P#VmJq9J z9>{QKD*18Zi4Uh*OPRBg`tGQz1*j39L+$x0XR%&h9692>38QYRhHzx?8@fViR9DU} zA0Tn|;f;;mQUmeZ6u7=yU8vzbj&T*wa~9*_e&9$JQ14ahg$P&1#Xp^K=Dv|E$7R?E zN9q)a9RJo^(s7f>5vNU<)3@%ss%pG1vMhBj3vN2fwf#W3ZJJK9G=43yaev+wvcX{wo1qHc92G69=X#OPZvANAQQ^410 z-GW|BtoweP_STQiOFY*z{`WtlVhrFk!!y>RgB@p=pRW4psh_@qcK~KPgG&sU_XMVn z&k_hV=IHb+FUZ`5(x4%W4v^lmNkB_QNBy6d2fzwvEiCy1_)<#4G5cvdRZw;~S~a$rdXoXFfZ&Ls6mYDN zF%PbBYJD&bY31U3A^{`7{A-YWs$d!KvDgBy1J{$8unzz@3>#4|&!AZO1IuTt(n1U^*^Zm*(0uMafjBcVGRH~q97dHLbqgK4*Q8~WKBoK3aFct|4%9k) z{hl4lX^$U)^jst6=md@+b*XscYT0-wkEjQhG**c(y1J<8<`jOwB+cesMCO{nNf9 z`2k&@k)?3yg(@VO4#&Dlla7apLFVbQM6z2>COUfD#R766-Z9f5G3yimj?|$O=Rgnco9h`NrK_?3>k>??srqyS3E@y1k(H!HUKpTF8ZGGO?;|?>NWRN+o zXofRqRnrk*TUS@yd9`K(Jizg^?UxqA4VT4C8+_VkL-Q*;e9a!2jp3TwtbgxFE35Ue z%T6|8>UOfIxn+iZB)KD*Z0qu>I(F#d@nF^+Y&hW{gUb`wwR;QEO{W69Gb3xM$Ta1i zJmDUyJ#KS`Ezi57tF+ZIFV=9h)8*b9@v~J$Ts&TA)}_^XSPzUu`G^$s2TX#2e$oa+xTNU3ZDl6mfp+tQvBfl=*PaqInS#@CILxIJsLzYj zuvCqwGkY4`=roL$NizabCM)u;F^g-H;^v#3!r&0_lofqFLvakbvkH!e_-rDLw_z9x z3sUNAoozO$nQjYptkXjU0NKpC2h^NtQ%rUw*aZuMCpOZ&OXhuFrtE;fNyoiQMuPam zAnbd249Ut;=cm(PRsy|{BjcMa7@ZL#D^WU+Uq%+1@KrB z*24h`xHCs!Lww^=507+1;y17@9^rPs95!I);90^$R9*3{i3<5)L_Uc~!BZ7hB93Qy zDK5yo&~V7gxg^A!8$vuF!MN57>CVk{bEwP{FSV|1JF}_@G!}n-lOF+VZTeM?6@3yp zGz}f1rI*)3ozJ7Avhi3^BYeeZ^ULi7T2llXcIU;GLY1iFX^qnH9aPgu2UO4jp47PB zXpFGC_>*t(+79-?s;hH6QD9X7ugvV3YWCRPC*!A-$X>bXjat20)$dF@i51W-o>Pqp;V3Ndw84spT8Z=58`YQC|L5#p?@36 zzGf_NxFdKAY(KOd^sorQ{mh=qJf*U6{3V=$QPh8#)9=?4h)gVUIIUm&#&!2xYCZ2pfM;XqCEFgnOV9Am6eLsN7Ppo zMDW(Tbt{i<@xUVqE)VV4aYi5oJ%H*R>;!(bv*I}M{V|3>j{$lQ!djtUhqmv#V;u4L zo`U?oO!~PFwZ;eG*K!vE)r;+?U{HKJnqAk>84NBv=MOu39EO_6&KSES-zDv!K;D&n) z#Mie6ljG8Uepy#nE=nOUgl-fhQ`qo+G%iN@GqP7eEfNNHaElwx85dD8+(03RlZ6)> z&Ir727>G-a;;3O2*>RW{wcbcZ0atwx)wx5s?*&bycNjPu(+S`yGw2{-2JGXV6?BxM z&1`=?w+kA@`f_EIjY#R?u&Z@WtIv7VI7#) z6-L`S1t^U9)`2{q<%RDouh-LMx7T7_)m5+BiGHM;0~xEdt!eF;g{4Z1^;HQI<=jEJ z0qr&Db!?$ z-MH|*u{c|1+xLq)XEjHZ;cFJybZ3xO;{abHMtD-n1915$4;`sDRdvihq$C}V#L$Di z#Fj5Ob%f>zh@%5)iWh&F+gY`*(=$%f#kFL3yZr~LMte=$op9i7@_pIgxG9&!LC~Kj z+d`lQ`Cn5lSsFxtip8cd?B}1J5IvtF@M!);3eHZxVGyK(>DL^EG5w58m?AfK-L>m~ z@}h);K2799)ifEpuQ}2lDS(xA*A%(PqO-*wyu=;Ws4vXTv1N?EeU>)BLKzAA$ils! zrf?qs&f7XaVocF~rf{SgmI40sZS_(~O^2ggZi446ErqBSP%EPx-%?mOPxX!EwdtBR zNScgoUG*UBXdklSu3ZC<=R?|(pkw;eD8&EHtLYxE(w%V8#T_cOXL|?d7{M2sQvtO6Lg#a%E>X?MN9SCwM-`&G{&RHKpv^}^!uu@t z`V~4(>xdmndn~WvR|d=<*rt{jJG2|%1%wYmlG{WdDAyAs<)>BmojB~_#EcagN9TNV6t`vt*l?!i=IsX2QrSL(|Lp8g zh70R`T5obV!S4VD^@woCEzJ0Bm%;1x_8?)tW$%P3l-WCL4^JINFXB5iEY_D?BCIoJ z;ncP>yD7n$wLi5zWUZDuJG8&E@CuV>edLP*B0(c4^vFDglj=kk*Gt$A_2r$e9QFIL z$k=^QE8;Ce&{dsD#y8bvl$lGN0vy0Ybm5T3ff7wwU1n`iR` zC^O--zEK(Xg!te2oa>^)8N(Ugcdmde0vt^V&S=a!;N0?2ZnU@=|LP|_u!p{q2d+Us zW?*VJ9Ev*707Gz9Fi>r`mYsu|h>j*Y0(cs>zwcm_DL`dL0qRfA#wKkt&R4DJfUuO2 z;aBR55)p}r7{*$O$a7bUf>kRh-6_FSF2f{Y)Kn7vyP6;DKwjkLu>p2A>IQYp{A2M*wx{`jx{mw)o#{lY)` zJHPtlzx&tBx9P5BWHFlkaMJD0@5DJvNA7<>QCxxigb-r%L5{0*^X)(W{a^f(zx3Nb z`HjE!lmF@$7Hg3(%AUyxU(60$?hk3MgmV1%PyXAl|MPEfBWzL z_z%DS@!$OQpZxZJ@#FvXZ~gf9f9=OV`k(&s@B9xIEj&O8%|K-&na#I9`NQA*$>09Z ze*BmJ>Yx0=Fa7Z^{x`S9{}bwdyb#E?-v6ee$y3k(@HhQ$>Kk!o-qh7)%SNRkAuOk? zSmV+tql5nnzVosFjvrmXJ;{`0J^~~Vv%#@0aE#6{asa06**+PGi~s=KIAcd6zuDAm z`m6%P7MK*op3#+`UQbhkvnkH|b$n;>6yO2smNWz}1Ssi6{(@hgD20z$HKZX) z5lGwsDOhj1#-zbQdb9@^LIA<{$&5v?n$4Vd4qlA;5|7gDE7l3k7O+l{&yo~06%B_v zYY!~NgDbMXLJS1_k}bzbYj~e@v=OIB5?F}!_PkXHs~OOz#y|UK-@MtwUW5Oph6=#G zjyAjG?38;g@Dx{OSAH?>>K&*Y-qI#xzoShlT^Hb1>t(1<`k(Rw3sKe~+q7hd_0$h z8wSR~1B^GAv2m&T(g;%Hy8x9vEqEVE9`12ZbacCZGzD7_w0#U&)5PCW;>(@E{aMMB zhe@tDzqH4g$s@rGPO&jWu@7MA9YZ@0%S=xOy&%49I z&KQrI!}HgYfkN|rS z5!m(q+Xzuf_%^w0^N%A+&j!2_mF>5XN#+u)xn97U`nY5l@lssJ$iCvM%O-0+V1%<& zSwCxlGwsXlm1Vrgp7@y3maAT*+baKxFW!SVsJ@bc#b1AP zJ!kUYC-S37TDNi?z>ZoeBmCZUcL$`e>on0zy}izH<4A`=>` z1%gnwa+7W87sVouXHr;(=~fPv01&40nZ<-P8=BXZi6`&u`L`-Qnt}Sw1^O^QEmcJh zWILPBw7 zmi*t~T=>t4QK|zfjE0}!A1kxye$XksKzr>od^gB}jaU-lL9D`sHl+YtxI`V3@M=b|h|8xJjG83G=PMXf6QApkLkp;UqmMx^;!&H;Kxj3a$j=Oy)Z_Z2@PaoRGntkHsO~mDtu|er_s&L+RY5&=V?f657YntIhh0P5< z=5wQZ53~uJqdYeK0O8U7=c)?XDJ$}-|8z@pq0rD+{ij8S8$!|o570wWJmGPr@er#& zUbCZFy-xd2b_|-#;phAb?otF4H>9=)5sl}0#xJ~nJWs|K^3$xk9nao$+z+FcMnrKP zQQgc&v5d;U@`=KM=tH<>2;&OnK@CkGygK8@Y4ITxj7(RcWEe@q3IjaZ4WxB~k3k!1 zqh1%?c$_-Ib6uz(l}Ht=sX|dj$C^=E*9v32zd3Nc+8mtW!)w)M(lXR> z$tW$59{|#_)HFh}Cds`ad5D!%c-Y{RmbO(bX?>N}AJRquG8lORoU?M@x29ux_BcIl z4KYv@^s~|#Sf+Rb^tcTraWEuKfNVdw;d0;&Bj$=Sl0NLyhc-|w`sYpUfFH0Axo2z2 zLrGlpKK^|Fu7{sQf>ft-*7DYC^xX2wTi3T-Y|gsjt3daQttP9~cI84-vNBsbHYK=N$5GX|qf z?`9N&FqP{dKruG~1qTJoGF_)5O`Tp-m;knaN4)v=2OYdZl_S=>Z(5w9O8emA6b`rY z6ZR}xVxE79MZ=L?cxSKj0^Dlv&x!T2*bNMbLfeL=ee za?}lVr|E^%{fVU`!~n#O8+ssv!;PX~yf$>V78KD?SoyEd;6+K`kTw_kif_|e({++K ziD^69r%z{wfJ~Ao1ZUi)u9|9x6i(oWD|h^nn}nXdV#j@w%dM1gkb8oiZ2D;u+le<% zX~&*Rnjf0=2E5Ke=&T(0G;LZAccU#2;n+^>2T@3-+^cICMXnc)>*vIA6u2vUssQF$ zY=1!0Igyumwh@gRA@o56D&GUruC2Qb`)6@hCw84UTt!o563=s1;Yf-Txrv*Qm7cag zM>0Lf31b;8>zctIX~>4FWc*Q_*lt9EIfoNcpW0-^*VUB@+IBQaf#y*Z)JwMG*p}uV z|GA!p+@V451SIsn?&1GW-P^>-l4R*Zx4Ua*gd>nxfY?0AN3J`asjkZQ|DTo^35g{; zB-U7jdqjAKM|hNbc;t_GzG2wKy2SN2lSS2UG6?Wk4H2uZ9rwCEuwPra~zWqDjKr^pZDpNS=v52}3( ze_c2$ezHBNbq;?UcvCQ`Qgfw|wt;hU1^BUD$&b&=@>}?Jo@*{ZekY6SMR9!m1_u`S zji1>C8NdK7Lit+;ttg6TGB?_;Dfdo=gT|$}e#bUQ{J1FoP{X~7(Yp~Tq}@ZB$Rs!l<>t-YdyX4^{@QMS9d@=yPJJOw(ok^9a#XKDV$H8{i#%N z|DoJS@mzwl=D5`&v?nPp2OI%Rw!5lrx*TAE@OYuhZr}bA&P0sGPy-p0)S?Q~?q6PT zk9ASG%`+M<-`2nX#l)!9=In4kG+MP}pp8*p?2@C_sU~}*UOG_&JWMqkj#0|UkRxo?+yakm)-|nerM6n9#vXlbU}4hkB0LdmL+ZKSUt!)0 z3y$zO54u6H3yX&1&I+D&W+N;zR=>M=|Fgvh1K|yc{&tPHpQDj%Qe)3)cWTG%!e)0; z4n@}c;nX!lm4{(BP=z2jO|X^@7+96~KCoq;pkqF%oOd&FQ<70#zl#heVwVPn?;H4Z zz%;q2sDyEN4p0v7j@@7!1fHCyblKlSvT&67OOnIiO>%4wfT`qv`Jeyr zp(f*~9)P6BAV}@R!*C4Pa!1ThUaTxl>Iqy3AU=ff6~%=T2#Q+!Wewu6u5}ofp=hv| zZ{&5Yc-1>sUcXedC6Gb9S9YD3uXV$fMQ{bwk<818P{!FlT;-HU(s!D9^8mOm`bSk4 z1sCZ(1DPloSOQz$7PL~;5^GLbnU=o)*V55aTmneT&SyS}NjQ{Q&>Gl-sC;|3gkExD z{yQl_<~^xBubCT1=KoCrx2>`ntYueMw8T2S{9a+)vRj2oVYFqNWvxN&bN;O6#C*Fo zDvXOWnlp|3*Ij-qUhFxtMqp8BL>T*-Y=`EW4^1)42(;>=d6Qz1+vbX41edy|Driz5 zIHAHVT?JU&J>o;Cb;I}yxm#wk6Q{beCCBkOMc)vCdJ?mG+W`ldVRWxB(ARs~p49F} zPvNZFlgUNnSZ^^!g#nwng8@6o9U#~E)gE@^FmAb++iIVb1P4s(ZR+G%?dz4jBa^V$ z<1EmzV{h^Ls&c$2Xs!6mT7lU8rfV>z`}^XBGFCNe0UC~?kuZS0y?^^JcR1dJS}*>M zUN{<#REx_=90S;ERBoGCMfOAaI8_s@a9aAC@~jxTh^#Bx42z);L`h>A@Mb>H@HF&( zD^$*06>TnCpditZ0dp4|0yel?Wq*4u+n;MFeRobXQVN;d=N`Zg{;XS^J#z^KwD+|8 z?FSVlcZN{b8sTK-=ddDEP8$*>%m#l5$8%G;Ofg^WA_Gcoq-$;yGKD!7W<^L2GHDT0aM<;BhvJDYEef%j7E z3(a`e>%m(TuaWCdKuo?PA5LU=gJu{-drO9fCWKw#IdZx?Pe*9xe)g_u>;|7b0id0w zU1repz?ZmH6)kTi&2e)Fn(knxR=#}~cz3)d38aoJr+v`}!&C8utZ?Y{Qz<1XFo(ZD!rJb+8qv2}qp8jpMySDF${`Kxw^n7=l z*?IF`pBmw}iu%k+I4)3gRhlE(A2y6xL4i}ZYOkjI(7bPD`~qT9U-Q@(23$PyUOWu3 z#g+u`ZFuv7jNW0&)WK-=Z;Z>EVut7AFMBHA#Uh}uH89#h;LGhg;vm*e_MgN`|5#sC z-7t)|?ES$-YcRi^be=IBGG+qvuf00#2VYQg0x&T;aW>CLC#!O3 zV<tb$v& zE}HIqF71a{Bg}X)Sm-%hW@O7iw_Ky6*-^n+sSc5cN-`qc%nOsqbrOG`6W3QdtLXQ@ z`ektNv6*2cSrgaH>J3@NCuD=$dITKncB0rUh(n#%GxPd=LnVHER~+|Xq>&N>FNpeF zzL_iNbIG-+gwAq3F%Wz&^qeHP$rbjwgl`q-FFbm(rRad7gaId zBRewy`X>shn$b^1Q;i%PH^~8@( z>O~3txXBkyyV8+xR8%cMVKhV}Q)Fg}#|FwR=%j@J*b1^Ja8my!XENqQZ_u&lKt>`% z3uiiONFC{}&!Br&`0 zG$1w3K$K+48v<&PgQIK_Qace(HA`G0D%JObES^fa2_p_UJU5Gs$lvVAr;n0oF^D(` z;uIufqsSrr*vlk57aB8Siz6LJ>`BmWoQ6WlHcA*GYh7*`O6~)24Xy1N)38)J;x^^B znPUEdc(>vLS$tgk=X6co%@`yWSqB{(p$ybFds(IJ`X@GR_CKM;&;D0vIY}L#0ibe_ zy{dU~+VLo*i##bO&m7M>2O7vLFN<9@FCde|lr2CG+UE-7;9HYBa1NBRFC{Vah&60hxr1cX%eu3i4<5 z8}s1hf2UNtltX&cGjjYTtwl$6Xl?2PsL$8s2`C~?alvbb4Q8i@ZjUgUvS=TtAGiI- z7A_hAfxL*VVb}Xg;dR&%r2**PcLMFN+!VrcG0mbXI6OG|RKVEya1a(CyA`s`N0Qy+ z46Y8J?1rY6#!6?DLr@6UQYstut9mug5bb(yugV55-O%=)ju)%?6Tmh&+(%Wdvc;l@ z8*rnZ_l*BgU&{4d%%RLl7j5wgE5i}Y#oMmwxa=Nt8u*XJb)K>Q1hf-c;Hhw0#26Z< z+pey747UE+Kl<>&cz@zIZw(mX$?Fw<_!4kvw|JNwlgr`!5Bsq-yQFXw{m*OUKX`v1 z=@>VB@pYiTcq!q$gw2CLrdBodpQR7j_&`4M_~RFjSLZ{Qe#w>BbGB`?$1h*h@L?FQ zdd_$L&B&|t|JseE&L{nniZ-K18Tj5~49>qj-&vEpYW)qjfpi$+Ka2S`hp$MxeK(PQ zacCCSvwD)5|A%PF;^yP8J(^;9Q|33{kUY)$cq?j67D{=xhjT`2wL;R z)x-DzO9-wg&i0-53B#Xw#E05|4zMz`?R!~#?N86ASc|y;jMUm0!N}tdYD_G+(!meo zPKJ;zaq*)E_8oHa?Wz6IiQJFQS9D+OJ{f_mMkvv5io0n zd2;|ZXR%Y8cAp=(aNkvlUHc>zueCV2YLwnfD6 zFq#h7l%>QtSWThS{rA-WqGL?LQBWp=Lf7>s=;~fN46t$aCfjVQSm6w>PUm=l;cY-2 zJaU8TmBaN@7r5)A3tQAnyg`%~1a*wWs<4@?eUK*0c@k!{dYW+T{wU1EE!E@SoRpp{ zf3Y8i-UOXJdq?AyExg&nM6)YYZVV%M6CyUb53EihG`sieCLYe=T_4M1P045#aQyfwqJ&=Lk^%LU zQ7J)`hLp#B3KJ~ZX+j%HSt(kxGgzLSCJxBReR4Boj3N&upsKzb;^Zvn7@*eS`0YZb z&*@2E3UsC!>d3xu!M*pg4ZQ2Iu+Q z>J*9zTv8sjBca9xUP5&{m2^x>voHVpCI)tU8+eMiz~m|PP+{7UgQtY@#!29D%Twz6Gzw^MzjkN{%>Y2Xq0c-Qad}TE z6+qLTZ;PKY${QqT#sB#?eJAEc0`P`6mGOordJ64_Ae>!^0ZBJQJf^;&AtjAKb>5SY zyR|TTbZ%~>B7t0UW4SLPC3yZ+&UhVX0>TXv(x=3Jh;9MrJV4IQB+V}AGAxSOLzAoQj(h6_0J>T$UC1GpdB8hMWn z&=f(94BCW%)&zE8?Zy1(ABG@rCZVklC+EueiJH#rnWkz@XTKhGG;k3%n$TdyU^~Ph|lYCsHo0B!FlOXa+weIJp(H^V06kw-RYW(~`!Wi>z3`jy0Xl%e>nnLeT?A z92r;{jaQ2a+Ykex1BaKChL{K(`{lEdkur(gB(%^&+YFy8}3(?oEHN6x%gBVXg{2iBl( zaRhk4#E?6wWnu`6hxgOqrl+I6(HV%;lRn`2J#l1OGXAoDgllRVc=d45n@#t{qV?E%46$UINl+4XcnS1w zTJW`EL)Q?U8Y464N9Hh7poh!@vSc<2W*3VFfwsLs-Jlq!RqLZCK1fCLH08<06hOCB9PhvSb_GhNgs>{Q0TNkSUrCJUDr$_^xc3k!Oo z+WFi-I>Lbq$~aN_?wHqKB1AxmJ_Fo@WFC8ygQTBuedTz#q*gdu;8u%N6Y$Y-m?5Ez zI5`I{>D3p=oXm;okeE%#xjY#^`q;Nb7!i_z9YI7CrIBY<|ICLE=MvF-qhaaH4NEp2 zJ=sc6bzKRsp(DoD0k#+Q<$$G-QJtvlj$!;8-D&a=VDo2ryRaqFM9;7C)V?5+_KcX?Ss@W^qQyoKbzX{` zrhN_*nQKO?`_~=mMz?L2GbW3>cqwe{m(%n#jf&w&82omg1)p#A(LNnz0Haem>0%-Mx3Xf+CERp= z3PSGf?#ws_J3#9jGutPH(e`m~bY`ZOC*ApVSI{Ak53Kg+?zmLlrIfxtlgwq$E3ZY| zCJgRY!VhNK26aJoJ%~#~vjsG`W}g9gaG7t5JB{}}4uRtJ#u#8{AplWeX*suuJe}wB znR5@G3;N_xb>}<7hU^_&pp@-&w$SMhx4677&U28(+U2-9mW^asY&>IkxznJ?VIu`0 z&V76EoPcoNg}LI(6tEE+uV1PVe~vYslg|dH4>%OL45H)St}4K-EbCKU<AaxS z*)vK#a~z>PGT(NHmQ|nLn{SgOz3<^v)NIcAwDFwlePMR#y1CL>2e&VLyqX&kt}}Wn zNH#t5hNts+4%EG&)e9Xs3~g~$V}I>sh0|FI&&H^_F&4CqL_5o|U*Bi>{?`v5KCE%* zWLCaSQ_!?HuCMlC_v-Kkdc7e_m`*r!_@+T+zc`!q+Afcq+IsQbL~WcjdkXB$!8y>j z!W237m!u3QL_$jAd8%+S_sQcl>e?qcUY(#%lByH#fFdM0m*=iEy7>;xbaB&+8bOT@GZNbAiMld89CR)SA~5kwD7PmZYVKCuEB|g zE2PHK+YQpNGef%>{9tD9^vU3^5NOv0xrva^Q~sF^KLhc5>0hEGk;E+V>-txd_jNGN zMX5s*J`DJzAMgPz!zc6;6n`{!BkS+|NHYZCDuz0MpoGfT^ zqzR2QLHeYBBzO=?Vi6N-m`xUwJOy}3OW;RLMp%?c8q7<9dW6$e^aOChCptL$ei&qw zK~kk=g}AT;l@1dsEruj{wpXS|-9L5+5X9 zMk2ycgwgjg3yY-05YG|-$PE32*B40^AQ_|0@|AT!NxY2O70i67f7;56c>15kffwwUAY8fsFxN5 zP)I~g4P4L`Q-gHfQjzA0MqJSwy3>n;nDn6Qmi5v+r>|B@B?l=kktvxd4hw5CCJU%M zk_LcD4+4i|d`&eBpBRDyD4ANC(h%*F`NjyMGF^x9Etv7^h3X~THBka1s{iK~UTC&2dgtGwNsDS?~jML#KT)5IXzdKlr|F%OE z_NrS|Z$Ec<$2}BwNjp?~0@Bh7cG6N_Fu77$hpxe!nDM)vccAC{nJtJTE&CvXPmq3R z^bHo}8=^v*;SFt^mAaHbC1>(1rVUmH#<#-ivXn8Jv^f7UNMhRMq_MLppiIbaiUR@` zn&sMn3mv#x3=7@RZcTPoce248O!WwtvZN#yE~2@*G6xUYTQwtHe_AdA9F%L^`)nQ2vip}{JC zxX!ve!|yFGtlsI*G(~8+NcjRUqGe{-ePnWh*A#fvP%4KmPB^<=287OVf$PNjz z%bJC+HEJ)$2f_fbWu&yAhL-im15}&_w5uD3-woE+H7Shgk{w2@X{}AEfEjU6J0W%yT`y-$1@)88rm95K!<&H-e<%j56IcbNme_sz~#zazdRoi8OR?rYv1!P z;7Kd(Q;}1F>hp6kkg~GjA^cj_t(2E{Yw>W@eDHGf$RFx|KqGUg+afR5rM*36j<6@< zUJZe)@+R@6Mx;%?k3gVuz(f2BjI-}qDd0cYd%(8U04CKAh6nUB9f^moAag3X*BS8R z0_2I%<)I$mDZ7w&ovBiM&&J(SzE`qzfWyXj{K$nvA697lpUICm5wflqN}tP zK0kNG$PR0DD#sysYN&o|xSeC6`E2EJhr$~!n|JJY5lB5s+I;&bh-)oQ8ZI{aj&;Jl zlf7ZuXzEmks{bwmXj+z^Y}$BKvsKO8uc+rVfHN8uOQUdCFTTVwRkpNKk!`p%eQ3Ow zc2T|kQpw=>4q0(2&G7#4Y%6v4b$!+ixjSR8=w#Y@X`Im_CtdSd8MklW(8Qsv)#2@% zbt`}|)Lfcl>Re26@70THX?GufvB@NUR`x5XN}7ft7J)p2LEXsEs@9EevmTWTHE1~M zhuVCigL-l1eA}iw)yC7vPVlAbZ|TUkpek>{yKq#UT(jt)=hVXVEGtCfsn1z&0TJ1r zfZb2ZXg)LI32e<*vN>ML_S<8NzOwNQ19S{HG!=O5T?{YsB>+gmUeJ;gi=B(6OIu@k%NODW#T!Z!_rob zdM*3wpox+tx+*fWW)71D+}1CgX)AUBM?&cj^`YKV^$HrS64E~gE$M)=AuWxoq6KoE zqfyx;mA{bmxd2AnGw>`Y^$3Pe2#pN?-k*H2>P+M4)Fpv6(jLV+*j4`x*Ux{eB4(CY#d*T>Qc~hMfTiG$a4)0 zP@AbyOU4f_HXFEV!;CBsB|u7s*K&Up9^ifw?#=*2ka#L8hZM0XXwEdVQW*Ty#zk{+ z7{z6yxDc0@5pGGV`UN44-@lfAJc^BQ!^w~cWGAinGpTeG+jWh-VeT4m-5u9g;}Lrl z6XV7+aZ2I)UDM%VUO%c1+5OeF9`hTmOROLu8@R2C;)ILQ`FJRRGplHuD5+^py<*D1 zU41Sp<1yc8R%!(y+29Q5wZ*xt?OL+b!H_eRj0bc;gTk$N6s5iQSyW~Ppf2r)+Nva- z+!<=SE(bu(;0rbgAxl4C4jnxj4pdMJ+>V=G+%b~vi&`0v_TebUvw{R{INY!wGahQY zn+XvUO@Lv64A$Q-Yn*;MpLo6%@abmP;Xtr`Z`usm(=mHs!BZ;iRRVvD=X!Ow$1xh! zdJmvR9smOxs8OTP3K3cD;BFjSKD=&t!hoLpz2#vLmW;w8D`e6lT2jHvqIddQ?**AG@&VWo{yx-M5A6brlHfr#10aD*Mhsb2UNqh z=D}IO;W97YYn~P}R?PRTFo7qM9x{5W9N(L_>V$igV3gs5KE{VbV09(yMxFljJGIOl znSKCv8D9oFE-rFgM>sBzN8}!R$`8Rd!>@H`%8mYBSKaEp#&Ge`C?T@;J-Ix*W0+78 ztYXxu#c_*x<1dm)!~oS1~km;TDY3*OX|4D89Td`y((Vh z`b<@-IoR!$wvz+HFV=Q(#FLbL^pa>Pw_u)^{fUQGj}@NSR%aSzWGFIcW>Euy=nO9; z&IJ_xGluqyaA!jSM}$JJngdBV*eBW;_?OFf$>Oc-pOW&zc}{VC@0xP~-Zc5wKDRWD zrtSH+e}JG9+7HXKJiZ+}tiuk+dXuqLG~lJ*(6Qx#Ivx1wXZmrhkHsURz=0Tcb|eob z7SjOK4aZqO;QI9u0}2?0d*%%~Ue-$Nhlz}Bj{x);PaZ1B9^PNlitgd8|?bL-z z-btdpI@4Lvi~T5~M1gbYnisO$CSN9gNLxxq8dp2A{Z_bEm}HKh5~>(qcG*93?)~cp zk(;0h z-m9Zhf|ghS(MUicd|dAREKGhD`cGkyF+X19M2Jx&<1&Z;yc_~|v~-tCxqo8&PfbTHw}0at2SH$GlYmuJ<&3aGv-n z4QK#QK(N0kdAR=fQ;VN>;PVcgG%lP9l4(iHDi9dR>_73dj?XL}l$~vkwmjfIY@u0W zE{|*I!rKdBZ}Kz^1VJ=KJ=5&Ip2wCM`S|68eZ8W{+1G8yOcm$0>y~sMV1(E_VELUV zh5r`qZOYa~l$RSd`siZGgS87603I0iTAFn`+C$nMb{w)in6Lz_2CKTt$NT`N2zCBg zc=V{&eylG@`VP412{&`pdR+of7N!NPF}P0ACi?bsTvoz~tD#9v+wrtBT=sBlI4}cO z`8eC*XdA#O$_G@4YOy;O>;3Jp@o0!03ao}SN)U_1OqK9-Vq-ARufVG-?l&00YD2vf zhs|T_zxk2oniK5t(P@>VA7y!v-y2XUmp*DRUtvCBz%KDs;+bXx=`D6b_B2i`+HIu< z5fJcjz3o(XD!g@f%l;AuJ^QmY^_BJ^f3YUnqccesKT`Ky;nCjLB*is~)P&ZAMAszg zfsjcH87{oCKq@jVG+Zn+oh74Gn<6jZ9oij$#E{Y|nduT!U1G}K%L>@XWsOqtuAeTJ zN{x7~0lD0~UJ=o(0N6FtIQ`8WL_;%^ETNr17nUCfj_pi z(JMDia)HEFSkr)&&`}-2=-?G4@4!An*Z9Pzy6TLpDgb&&;LECE_(ht=HUpHyFaZyI zp39M2mOz0#6+xgJI+O?tc_Gt;PojLu1PWWAg3u|3^vOrns-#|RuAtf62^T8v2&t+? z4WQ<_0xQj~KGs_Fc2^^`kxzdMV&FDb3)=x1rp>XSiUaRBGs^0b-i!(L||vz4NgY34pu{q^+9d7bn2u$#pa^U zX3zQh9v8RXG$L;+`cmL2LD;IC^_6S^>bXl@ZjEYsT+MUSk=alv&Q529_E79`r*tcm zENVJcojYn3*{?ZmyG`-Q6sO>oevpfWL$Tdn?e+yo$O~P0J0kXqp_IFJ2LowV$vs%V zn354O0c=P?+_t{$UZyKJ)j5#Rddy_NH<==v;!;-~yKyWGdK$YxMk7ItnUjyKW4WLr zUrkv+Q-#ODwdcng|Gcdn&5Ww3bFqA0T4Tm*Jm;z)1A1pFfZ@Z+7TYE?p>kaEbl~U) z`74Za#Kp2_uU)G>DW28@he>)H9Ch2`NbBrbmYJL^8%)jGm@q&Zx5eQDplBqO|ETIZ z-@zWyDk6J_%eXtGE2_-_mXTTaQ$eF2T$uH`KGdx78>PT?q{m02nfY}m9wmruh7t{F zh*fC{t{<}~$zn)mM{||Iv2AE#skQ)gnfP68oVm!|1*o(Cb($HJf z6{u{#tgX6sO|wac-eC=j21M(Yhv5&i6uGuhdME<7cZ1s0>wQxLEBa>`?cIv$qN@EF zFEtolJBEfkb*qYxBW+K@rl_Osya37F?I%XDnvoi(&!Q1sQ|(C|$DY<&uoX`YU-O*D z1=LMxxW2y5r=IvU!6-cKmj5CsNXhp+pX?Z+4#2xTROGC<@0cNh<; zlh-wEn)35NW6S8lY2WGBXEC8D8!t-h25=&#Jkk@C!JG8(lEfFb72HwqBDA!3qtkQt zn0vPOv?{&8AKjGO?z<}Qw%da7A`1n03*9M#bkJg{Bg2wv_2X76q3KS*EXs?m!dpjE z>}@=`UroV43vX$?)C3RYKmYK<2ev%>r-%o5#`1ZM zDnTlHoPI;v7{37J*FyT?VaX!t_{88IfFybfEm~$*#kzNu|9TA{Qy|N@PJ)u68TFDhaA`%Banh8>c z*^_5!cJ426Deik*N%|UYvaw5*q+>MONSr+YGc1ZvP*=(xTLzdrRlxVD+?c*20f7^H zPryi%K#VVK1l)S?sZB&e>_i#WknASjLw^iTh+~C9Vo4K2NJMqAXnQ~_q?SyuOHEC6 zHNz(cFr%HO(Fs81>!tKv>Z3uVHR}RkpAMD>on6;X2u%hdw2dlJeC6TI|mN4KDRW4moRk? z6t)G-ACx)7V z);uSSDan8ELHoe!1#(-1{j#iZ_X#|w*FvKjA@K217H7C1FgPbW=~}*oko8nbuDBn= zX;r9!1&@P12^~5%Rafnd4W?se1{^c8fbEsD1AIFt4{@9JltX18Lwt@6XTTR!}`rmRiG+$o} zs+;{lJJKh-On?IbiS5S$f_hz43?R5_Ku2$l>>Jn>j&;dCq*)w0g6c*aTx)ahaPCzH z)Uy#7#L9t5-GVt1F;wzWK!#!Qi59>}7!u^%gIXa3tf$I2e?p}sm~H8+gSy}?a8F-K z8IJTFNLCE3x-U1 zwMU5~!SouJ{sdFx$QA53G)ai|kWK59Ay+im<(C6kEaLak_Pj>;ISY^^a-L_xn2KA8 zc9U^K8&-csio|VqY{bS!GKyZ+a!L$NEdz*^sZ%@0L zHaIMrswrRVBS%Vcyu$z{Kurc?hUS-3uQr~G@Fth9a5P5jGmS-Dw-pO%t!cDAU>`6U znUaInYh0BpCl-Pe4&|rDnK>SNm^%A`%qHy0kB;CY+$8LS`^=<>-YV-!Zh?_OM`}12 zsw5)1N_jeylb*gv1)V*6U!1RWh6kBWRk5QrPLBMrCWKZ@g0sQ9F%v|t1&l=~I%#FV zaA9vNtb2%`gIORS)8x+8t_J6W@33XM<~g1WGiBgi#2V?mAkrW6(HiwfCRTNY^XyUh zRHx;jnH3C_dR0=5rkeLM*BgsXk_40lv|^GeyDGO*K# z4%q1U_EEqSjo;_BiKD(YNl0^)todAMU0P5I6zmIgyrYGMQa8->hNI2!+q^_tR&NR4aC={=pXPnqE4W^-$)quOaJ8Lc%TpRJqk< z4mL_bWBK@su000VN9!NYMrQNYO9QI0sfyvfPkb@ zN^G$$ZBtF1AIa<+k_A+X7a@W!NUeYPqxS%J?;s0lpjWuJVo&WiS?9&p&k|%*CVo7@ z6zUON;~NN^N+4$whWhj-=(#;=YrKd(K0kw0I(j)IbsUM zeYTb?0suqMzXHKl33PA*I7~M&z=V3>)p(9>T4|VI0M^8@Z^GGTeU?Q4(vX8ZJ<68E zi3wsm)NTn|M`H;iE-;KU6H3T`w=_nq^=ag#kvD}A%I-AmMZ?!6KxCSN&<-`!hN(6_ zhhosE7;oafiB|M}Uj+=vN;zZ38wzfGA=7wDj!3ieJV4%3!;*|9gb5)#3}F38X=?;F zjYkW237U%&$k=iGE{%*(P;A4*1uAcBfYlBo_y&ub`Z*E6+Bl8e$jW}GIUCHC`he(z zU)#V^V8n3;bG|EVbprpZ1QP0xwl%`F#9_t!T0Y@#>HJJ~=|(oZ$+J zC8J@fR1}UjF{9ctz#1+k3cl$)meouZuH=9xMTQ&!Tyf*r+QLBFyqkec$ryTz*i-tS z1Bhks;6>+KxOf3TPT`hT{7l)|i_BcTwy$X@mRR*$)4mGi2?D;2Ew0cG^%|I+FdQSe zv?Ib?%P|ttq43d;v#0E%+`crl-_wW9qm3Bek7fapKBSy%I?usqo0JiU(=w)MxtNsf zf{%8QS2Yz5o-?pqQAu9<a6{O8AIC7W)7~-JD?~o*S-0n9LeWYtD1QbP5feO38YhH8-BAbefn8Op>SgBM!FL z+y?snK@{uzPvNwzNP6ViKCCx*?wEF7ywG`lQZA=EV)t*0d?GZF_8-=3($t=LUHV}L zM?ah=TN1oV|zj_*1E5kv40GmA}2V)d~*pFMsqJ=pai^xI!m2#(;RK38L!Y{GGTQ=lIc~V|fcY)0GgERYNkqfV26-k{!c(g! zh#%4jwZ8e{yP~zMX}@kq%$B_$CF>on&rg9v$BJFi^iV5h{i47m_h3f>NC9Z)d~|X~ zP1*atySp;>ii4nrHD3^M1~N~P!($qO!pPyd>n)&RkfUq>rwA{QNiN!Brnz2xFIqJK zi^-gltP;FfOfHj<%Ok^LUYMH}U!$<7C!cKi&^2D)1`nT2eH#-yeQ5h^!3mij688+~F@2wp7h9Z&A&J z*;?0iF)a>6Y)f_Y-Bl?gOn_qOAf?K7l9%i;(u}vz8&Td#Rd?NajYG@4GlDy#G)dH% zG!r}lG>fwKHycKU11|JtM#KS}2VIwRdQf?JQ{uf5o_XqP?h6kv;%(8-i!p1&8oC{- ziJQLyE}NQ(!&X-v7D|kgg$~&$>5yZIN48?ABV+HTroNlk(jx+;zGBDZX^*7H8qTu* z$3N00@49T(U3r#Ms792rwPSVvr-?T}3ni6AM`p6@0VNpu2~m|3Hb^{9Iw5U?b|n(LfJ>P z=JSHxYf(NY8<{2PK)Iu8*Cp;XYq%_raSwyAp(-4G!qgt++ke&o)MQs47(x^f?=*-z zxV@6*N=mUk;$e2xZ514MwJdn2=KxAR7PLB>t<+VcGc(KTDX6dtpGcfqcez@q+?s3? ztYhj}GvhPhs=*GfI#|k|r7RHv0=ZR97D>BCqyQ;fi)gyMuK1J%kKMXb_vAd|S*t-p z4wpeFjLqyN3^HPjBY&tK41pu!LiUARjvAwBxFwt*ahSs~vi14jY19>0^61spl#%06 zp7#|))8mK2#OV)W&I(un$L>O{L^OIwLqgu_w7mF7-{%hO(6zKN;)!aD{-ojO1Fbiq z19;#|JMFr<9!_1$Bs`=oTH`Xg7>nXiC)tBB0SG&|t+Ibgja>ta3j&iE2uXAni?YZ% zsApwA7q8SyZ-3pV$2k&LWOR&*qf|>Ii?AMx1WhV?%z6FybbwL)*ElHxa2ya@p>-?{ zZ-3pq{nh^MuknI}5^ICt4fwfmO(xl#h_dm`u<#2`$}l(gNJnE+r|v9oz0PnhYfkqsYQL z;Gt}W##60F#d~n6k7zi=x>C3bC8N_A5Mh)c5uMKC#9Gzo;v!d|qcVd8gtBzRNZpKT zMvG`^zx`FYpVY}k3}O`HQp@YBkH<$^X(s6c=sWVMnILH?*cYTR^$-KgD`GhCG_p=@ zN#)T9y>7~(<04?*M*zi+tUvzY-w@x)z{KHsOkSHLCI@i%M4Qxu=lYLqI&J7=P!7Dk zF@VhU(t}G6cO*|CS&99Sf=_sX8#tq4vN^4A;wRoroXK+nqbK$zY`Y_cF33~7ILhV% zZU|QbmXmn~*@zcE(USGxApqf)1USWQ#8l`&mjc{JE`Gv@k_crnyz6NNmvDbkSek%> zZX#=-10Kni2j-Zu%_GY(&9}ME|A#NkFpn9v$af9(_~}BhN8~W!3UJo>dDnTdnf#n) z#&dn-fWDCIth(Fc9v0yfFFT+tapc6I-WA}ZZ@Z&VkJxFNdV(Ws#UeQ!LO5O|gd<4= z0Uz~+N#i%GY$p~CJUHhb(pjFxJfB)$M823D%& z1|!D-B=c2xB4Gf%cz^g6Q7n^M>xed~br#Ta&M=Htrlm(_t%aSuR|ZC?u5~&pnW`-~ zuk0skIxnPQDs_)=*)HOfp3JXTN}4Ry+Ba&wte4mm*~|?m17su}81xbkV!pKdRwQHH zjb=bmx5dO>B*i4S$d_XL{tg}kQK;?5$_8W4LSipHd1MqZ8qh+y#{u=EU)p?xf0BAt zqz99jn#zv21kY&4P~*t#j!?Gz`tauZ73|BFlfTPX0ij6lfZX>+4ok^<@;}iWtpXw9K4jN(_cp3d;(m;ov`0U@!_a>-Fb9 z{H_;}yMjRo4)C9Yb=_Y@f(4^!trtJ`R$IPF!Ho#m8EJ0t9Y5R!oUf3} zJc1qY$kIVs<+;Vno5~R^DlqO48L114%pCT52GEQl)sI|LZnvuJ&B4yV$hOOUTzz=z z1=M1mzWP`z?H}7q@Z4F&`0kSIB))}0KoywX-%p>purpowZE6gKchbWnrf%r)TG5Hq z4`TI_0uDk+|zh&`N%cz$G&+4|F0qpXm@@Zxy?EJ(BFy zXR8nHujbeALd1UD7KIbJ-=}x}lP@I94xVRfy>kTKNy8Iky}{!q9AHlCv*o26dzkW@ zb(;Ac=qZu@k(0nr&WU~6aZ@@UK4Tg-xQSzUTfoRBu8Z#?XScO?D(BZWM-YnPO+jBt zJS97e?CCVY&h}d*0p701$4yF=X?Op_8bC+|yjWwF6GKYo^4j3RRn)G3oa2%PLEdy^ zm0~iNNdp2cWn*uEL$zaIR4-)o&NK{=PC!3s^FDAZBF3=g7J@=_R~(xwzwglb;Dx^r z>H8>(@jde%C60bS1y55$hkPGRfiBXFOGv4=)*QUA`M^9!5Ry}-Y;XnKkd_=8_*WbD zGDotrBPZ$^(e|AQh@`LiaE04VBB^~R3s8>mStCB4I@A^qe>4Yi6#Wkb(8SKtLL+3jWQh%hCkbD@M)O z)Bl1U6F{sPx`xw4Y!Rk9xC9JAM|epwR5t(t;*e88>9Nnmf%|R;#?u|fHuGu$K^t|6 zL$SVa^?w43$97kWgKfq@2BDJ%7zb?Hq=E@Sb%M)Q>_n_Cnhuz>O95E==J6tr4HPU!6M+P6~F4dN^QmE)3%fqV@inea!H zh_WnOU5^C$siuf3qeLe_so+|(f&bf{L;OM{1hAiz_?h*Ofe2l+H;iqEf@W1NIKBdc zJDlRIo~#Tpt$_QR=TYLkg*;053K2Hyx}!%l1*0J&kYI3nt4Qt|T8HR=&a z2XT<ZGnzrI3>!UN@`o|>Ky?gjGh3=y=v752H7(6>6jK02M+ZtU=9c2}Lt z0~}M=fG1?sCWh8S5I)9FJd>j1AHg zLXriJbyaWcLk$a)aZq9dR@Arpz$ag%#7_J6^O~J8YJq%sEh~|=souW1&=_wOP(PF- zRF%wF=|5_DfoYaTy~r)FZ1Wp=m@G9sK^we3@K}Ijnjtsr6To!td-n9aaz&%LV6&oGFA&cP>bV;$x(2U|#8;{lR$sFB2YJHiU>;dm zjt6efs?;GDj0wtOo@;2ft-Dtxr1gV{zyC+?xp(f%^}gP09NbfpnT~;Rxn;byerExT zzN1SFf7)Y`cGjP{J&9ybzP?`3V(lihU-8-Mj&tcP&!u*YBugb+78-<6lCe<#j`Qi9 zXkJ_yU8&^>?__FiODGf*oU+t3#8%2ummO2pxnj!hjjC`7(pS`X?fQJTt||L|@qCD8 zu%S2plLwX=Pi4|HrgPQ-BdDY^c(2!pHhH#r79Cp`*eA8~EoemUR5b_yKE?N3OP;UT z$7Dc{TBCap&7Ga%(X2SpvMjl^sE&0YSJGmxCmnobb*;!{&;n)vc zjSs!#JiF>P)K#^;;%A!|?ev*0wg1Q=eN;*lS)0```aIQ8#KX3m+@v@-|4UL@?q z7x<&F)7;G6GjXR9CrR%J4CI`r50+#-v+vut_&hG;xFbH+Zi{j@uCDB8^gMIwjKU>X zJIP)Vq`WE7e|g}cvs$-PJBXRIH3wc$ktZvP69vKFEoG;>VMdibnq%C*C+hkNX7=d z4f+R1YA%Pb@5}Q60b6vMFKO~I(F_2L;NU>#h!XAzye^H^*Z_)zEaIui^0XP9N|0>n#+gu4N6kSQ>DBS8}9SdErZK`dM>) z8-^N2XRAmk946Y+AlCQOD02`kUpt5MvG29IykKxP^|{`YTG4B#x~ix?!ywhG*9ATu zK=e5FASx|Ra5bFRNr}tNkn%{+9qf65u{q$tT=4M>`SZGAyN=(!xcHMzOTm?kOSsZjqu&vohQ^%I+V4i!jyK=ydE?}sNPmye*&8d>AXJS zm_r9JRng!C>IbVf#~|#SJr$?cy5)P-KoqTHjE_2$8Z#pk8hC|T=xdr$fSD*H$g?`< zx&*~Va4SgD#gQipvq7Ekb$K|JjC6%W_@}e~%n8Mo3eF_ zelM8LP)`($do8@G%U4w3ypx$o>o+Z@?fLB&n9BtRDOBSqJJr;%^DD=VGW|$jRDzb1 zh{73WyII`>p$B^hq9tm zQ7+m$?XH+N{~DP=!#j|J(2d5<0Z+^%XZ%dW7=-iZAuGvXm+xOFEv1E6M&GbDt^*4Tj6o(7kV)xLQ9$Lh77i%sS=*&g>oK7t#n0z<7S=D9*|o{I*= z9>7j`CjPWL-DJp&O6@CJ(2DkSlm-tqr!9q%XS_AlTO=q?4Y_iw)G+J!!AaSW@m2mG@BGh&{Ef?2W z_*t6V&lWjH1z!#{ycNH3BcuO0wg11SyqI`ul)Ur<=rk#iZEz`x`xmYa{Xlebn%yu# zGwpK!67-PzOJ(tSD1ylnC=BdXX9 zoyc<{L^pGcv+sQ6_Eg1(ibo%;UqL+DFI2`CTiU$OxOwDzvGMa`ftXi`!RbFG^Vfu- z16mz@v?{7CPD92=J=n_dQ83eGk77q((8(2tp8k`6Q5FbZ8bHURw`Xlw(LXw3O`|^G zLs2R}Cg$~ufviyo?*8Cn!IZw><3Jn$s1f0@uxIWGX0WVZj&L7gm_El(EE==*l|#n> zLcsoh8Ym9F7E({&w|IsLI=QM43t+|;d{Z|uy{T(x|1Uu^pqY{9EkcR#q^Cy2I6^3Xqw7q zzXCEgTmf+h=f!#qAlgVMueLk*jdaH~hj$2LJN7>5z?YH{h!+aj{mC#e@G`)Vz9nD# z!WG~J0JXV9u;lQ>P#XZD(x9#Y#8-o_3ST;H!SQSO-NIC-qxVb0c<-JB_<_&OWudtZ zk9?rw+FF8${n9=GKnbrVF1vv-7&C_{SPZwlVrbloRO)%Q>ExQmQ^C=qV7wuTw+=t@ zi{R!eG+4W`;IKVm03gGFB_bjL@Y{>>@W|z|CmQ3^i#%ZP(gu<9Y~XlAxIB=JF|A>; zT*IKZm-%&HBtFAE5x4Ti5n*)Btm#oNICw{Jkn(rB2zA2Bk zU?ppT>@)=xBd)f9cN3XJOp)$~!RV}@xf8P zeXz~v4c6FQ7_8?y&uIxONn&JbcT|ChjF)Tc%Xh5HM2lo{pbi#oFpkl{(CA%pp~v5G zZ(49$>aA;%v{*M5Mw(b0M~T@jx^80Y@1ajDucHdnY&x3KcjkLP+Tmgbe@F0i`B~q~ zgQQ{lERV~`T^NnD1>{Vt2e&oKIlOV-OrGTmda)_4?+^{%O&bDEC&N5X<}1;1MT2Op zXy4TqlZZ6M^+*Oz>kP|g8h*|cPaI>ooXdmViZ3yCPd_#~CBDBxhQY!Lsd=+Xh5|uT zN2iN<2jAIpXLZ0fC=E07Ttj$UJI@oJJanFn!lpr+>(NAV?K_Zfjy1zZ>J z{u6DbDH*zq-FvF*N_!}-x(43!vvh%BLa@uY^TN-gTkX+zn}aM{xPr}+$xWJJj)b#p zp>r+B^scmZ#P?NX`F!0`Bfq7nc`~l%MB2Qt2xMG2+cjL!L6wNOI2PYl)NMj>qwS^5 z3!)=j&2bVh>;=xoB(r!4~ zv-7-Q)l-cIiWavvMnovv>b^=4Kv^FVCIL1#Etzk{XdT&zsoUqB4?l3STxoH|pz9M! zv2AyTzU~(4n>IdQ<~cnUyY%%<4jRJsmULqScfOTWeG?BW;e)zc9FBB(J^;uLgVV*8 zH@94d^G(KRu&kw$>!tunh{pO+3pwJOqmT}s!qZxHx9`BdTcL)#y1$+7vn*Fl59LWB znc9Y&U^&y6LhdamLj2Du$(xl#OYW>asQ|I|u;s?+phXJs$6_eoEv!!=6K6@*%`|0t z)2i=Lol05=u-CRw@9T1!Nc#Im-i=Oy^hHO`s=z8dUA>O9fx@YU?6-wd|E)iHC-m{w z>(wy+p`I5EBYA?^sx81_9{9265qO@ZMa?3v!fLpE_#=6F+DV8HeB!2Z3DP7p_F z;&8m}ByTX}&1A%MEgcjkWQR7x*bk`0Y@RC`5yWM8Iu#WYNk4Fu4sFO`3Y165=^HuY zG3Tjn&(IH`&{TPRqy+$e9eG!2YFfh?_-{#KYm%{Vh`gl19iutF{qhJ}xJa}fMd08Q zEd=*7V~so%6-RE1`l2vnr!6hipIiy5GXYjkF%Z z#k>;c3PMlBjI)#JkS(~$7WUcL^Pl!s1xmrbuVa^vbdoEY#xai_mMo94=n?GfQKqxU z)9_`ZzZYgHPw+6K0VhktYgT{K&F`=Kjfs@AbjK14v43`y!!R>l}sPm@NaA>1<;@bg1 zN)9uS+DhKc%C>Tk51Q|2iQB4U}@xu^%~!ia%7G7QOTJ4UFb0< znZmK4*c?DmXB38BtTRnEhDb6=yLOD7>FaVlFCk^5H(BC=>q6eCXJf{LE}}5fS;y>kKqT8upov+wAa0hx#A4_Nse* z6)uX?^R9ZNGuxSrWIs$lYb)&G0+_yEWeVl28`G%L;q8LhRTBJi;tg4rc&yW zPJ3iH9ItkJy)?!7PA%;RzJ!|~e+$6}oS16Hz8B(7R2>z^qwor3Uq$gPbzb2neyAXs z3hkrSKMh}Sgu0Lw{%t~fE=)}mLsBY8xm*=2vPxY*p10o}LDSX3SzsI^oiX2zz8A8pYN4dtZDj3PvAOM!T^lvk~8(!@8nxb`=%}S5_g9jk#dR;q^IU z@m@e!{VTPgku3>1l4%ZqRt6b~m|~f%t{gsXqz(t;Pyjg!K1_mkOs^tdHq8)C4A{WH zGVgORgujs^p4hH5^Ur0mk|jIsQ-=$wWrg8;*?xhL#LQ#$pxOQ5Tv#jqK6Jjsy_Iiewl>(u2j7CT_0O{bj->AlZR$yDbzJmOu z4|nCrS<8=%(%>V+ms$hF=9e~|iZnj)v`CKc{hoU35oh`C+L=M0j`6+#wm8qq&~(Iy zHCU$#u*l;5chATqz7AUEJzxmvjVG@nnZph`yP6Sx^)|Rv5*Jf}9hK=;Pq=UFTfrlD z=r2E>J~L|mZ9D;B+>JgFx){Ai!a4T>_;g1olIXK7HA6y3-o8OZ0AjJ#Tz4_dBdQe@ zh2Z8^t+1jnBzH|)|GJjZK$aIkZlPKDeZ!^M`OVMEhDJ~R3fsg6zB^e~c~zVjlqaQy z#xp|}IABa=Dmabgc(){4X4dezKb;Bzb#FU5`9KdhCb%3{-sR2J;) zfItg`BaoioeyLh#jMzSc5pVxsM{KIaQpVFL-BemlynfY4umP1mWX0I zkX*M%MN?Hg|M{DeeJTYNxUK{Npr$`*Cu@0{O5KV-YHI5m_phJR z@`Owdx36Sgtj?%YUH}`JIS3yI(^ zrd^VHF&}z@qx)J0dQu#p$=)qI5ZiLi0fWqGPDcaUq-pU)D8!9;;E<*eFYiDYKy*CI znUYwMQFT}~eFq~K%_bm`)8Oea`fud{0y#41PTA^kQC1Vv`syG{Kk|B}F8 z*y4&~gM*g-^5w5Y{tDzTIu-GskxrV*pE33fvUK^6g#Ylg7-~3e#=TH7&-t%F{~7Y1 zfvf+F@R-mS3C0Ju^d4a-*qPO}YmGnnNaik`93~$Gq5ib)0_c z=}&#LIejDHX(qiRpIG&-?AaoR=Hd2k6xg>fFxuR=&No{lO}uHY*^p$ECA|tx(6N27 zS>?WU-Y^1m(`J8i`}>djR*mWyYdVNFT6FW7XLLt2=ACts=rEM(jD@AQRn}0NW3#+5 z&2(tehyVTGce=CM>ES2UvBs=pwas4hmqwQ4?`vW7hW;cnzn4zXEgOnUq~_ex%=o=; zlKkNfHJ?o>|Iy-+VAOi7o^K2l{ku6#qT7#j?WQY4UkhDTGkrf+KKHX}U-)26?knpV zl{JQw)}*ff>N<@2iB_YTR-?%fPIV)s)3vDg{yMKaU1zEyQ<4wx4}CqS^?HH1du(xE z7u?n^G%6n%zt6R;m6e*67YY4nn0)5l|LjKh)Q*0x=+#i5f%^vZe+I_H^Nqfjg?e0? zB2%TAZj-@p-0u#v5B+yOq|F&*fYR3B(dw(@-Kf~VRk5!3P`_}PFtd+tv>h*0Db+PH zS8Z1=F+caSaW~V=G3u{dq(O)#V_UaF0x~AU*_G*U6s7yX{3zB#0^?V&CgTjtq-HX> z-Gx7H+CkOsE9u?peAaKlt;6R}R^7jg}>|VW8{3VzlGsfuG5R@a^QF?P*p~Z<^D; zRlT0P{Up+w=ZBhRRaWO=B^nF~b9yIBqhnglr4FKxhlSEuxWY$^2e)So^o9K>Fclh2 z=ZLOg|EC@|T=#fEv)=N`s_WP{b2N+ewu%2vr?P((v4$mSHZJ_dSsF~MtOv`aJHv&= z#@rF~(r=FFY&wvn&Z!<+DYDWEd7c#xs z`ZNDHos1yk!(hHX1+ys=EKF}&m1dgv7W<>$n?Z@DFUKF2HXz;T*~ryHZ241ju%*+v zxZE{UeY`V;sM{u+_x(1Q+sABbhs(XAD?bsYCsvP4-VcO+Qkkuocg##R`XO=J$+}6C zBE7|-H!;M5sZMnz7k0(FpHAnCUeCl0mtFtN^_E{8dVhib6 z!*x|0+J2$-=81xZZV8sVMK=!a0`jyPzdOM0e0(a;XZZJS$JKA_XqsI^bzO76>!;JL zIlQnw=n*(oqFyu%^x3{=&5!z_H|v)4oo>0=RlTJ}p1Mq%`LkZpZD7FYx*VsJ8O}c3 zA{ZO0f4iZ2Hwud1S-;JWSX>Un(fF87C>iwQ!0_JdoCPcAc4gB&FjD+ z-+ZcDa=Y4xvt4%h>~@q=6UXjwZwHA#waliQ+R{u~7?GbP)iUr@99M0pGQJXK;+^^DF@|zX)IMb0(HO)osaG1iB|Ik0An1#g#n+#K#)Ag@{34k$h*E0+!EF^F1m12{e*N zT0`+ZR;&x*rX8rFEU-~HiRTpdR!7B8lTOBsg`n~*05Hu3)aZMR&#SZT*bjlvvg*$c z7PDJ;K_mc-z*}jk=izBrtXLPu9%UsQMeaHZo@%!EENY3Ayix65QJN5;@16q(lPe>! z6hN%o6f|w9CNmBEKOaUc0u56l@7nF7{X)uM-~o+UV!a0#0ytUjPmni;01An%yC4jJu*_(NiNH)=rn8_{txBm)-H)jk$gyHEun%!Gie$msNBZ;O(K+4csXgAr=I$OV*& zYyICn-4(D(@kFl){D4MG3#no)8?#1W*K`;1hO^e{ zF%M%4SgPFEM105QS(CvBQ&6@BNn_p&xH|rAUf-Qnd63lWI8K91`_Ij?j{PId9JFaM zlE_eM280tYT*x|BQBbe$bnTEgH1fvGV$85%!h$jTYL84_dU`wd|Wc z&zcQsWkAU;H8wVh;z)7|`{Doe#fJ}v8c(=KfMU_;Z%<@Z=s!j*$L*=J$G<9{_Wt#* za7z29HZAp3(L-^lNvoH-IxE@^TXyQD$wJ!)oz;1Q!7ENn#`-dRd1A8Z2fJ%?`_WQ> ztSDmY^0wMVWY(^yH6LEUv7_lfUg zo~X?iXR`*$^H$k0txq#r0ghQ-pHnyXC|{I@p~4b1*5u4pIgV9{|A19lF%pYZB^0GZ zV@(37iDz$rzxD7GFaXASh)TfZ*4HHYgVki^1W8|$STquj^$2x6o&v5(=>C3cLM?<& zqHwH<=%gB}lKug!vLf@ZuS&{F$qc1LeNE!uYfTb2h)5}kQ4>~5W{lYE4_K9zlSbD6 zPR1iy8i5H=N4EUABohH}$k+_XOcY`}_DTVg)hEr+em#=yNVZ-(@&k)a^wCmea_tym z26ku|Wv=IhWLKmP85m@bCqcwPGe8lE<1i*$Go0u04*d?LF>?Rw82Pi1|Nb4H?Km2H>R+Z*sSXDqY zKJTb?AxPwCe+$7O1qwHZc1cE9iNPWl_#r64m-G4o72!)Ul!gq6k7gDIgQw$x+HOlG zO{WqvG&oF2VbEg+t~?+7-kFCoy?G{A+CpFOzX94cru~n87cz#Clf-j2eWc2+Kr5%9 zi{XqtVU~DC2r!EE1vYP0Z?`i_fN(|$Fs8dJ43^MKd9*cQ+FW2d=NK^4-W3}10Sl)m zo&qzW!K{|kw0DI@4ltzY7}2&M5q!7dX3Dz)W6hwrvn3X0j?5YQa~6te>brsy&8?UN z@N=#5Vu6BUE_^A+tbl*x2SV8JKALgMJW)!ReyL2rS(KMrLl*GGy4CWBbf^urRZ1E1 zx+-&RX$mFLi9WH5=Q6J~f9r#-Y|yWt)bXmpNqo(;#8ByUNP7GKczd@WX|C&DjItCv zC` zYhTvB)ZT0Dz1HvdL#>;8&NLy=`KZIhb%~`0T_47q4)jwbSG@j?>eY#INRhkLkgP2f zEaijJXfQKeLv5t$?D|#orEXbBPtO?{*;Nn!)wAfN+H}9|vETq_K$yRJK)?SdUUo;N zrB*Q+L$F|YKZ${*bM}+yY$ENRKk-Oyq5_V&WV%O=QdAivR#Y&X_11t zV?7%Qog{Ibc$lB1*-oI~p%V$j%!xp~>u1eu2Wbhory<0YIAl7(DLHWn8bf%pVY!vb z+j6+_rR_?dD_sVo3R9;hnjgRBs@S9`)hCQ9&nqT}rHV*xDJ^gkvtnt@F}TEOZ*;|Z zx+X9;G4YbNwzS%zcrs~DtbkZXgW>}TzLTUI5=@);LVjO!bfgLVRK^fLjJE~fdq(-VDvx;6kOpm7|SadX8VK+h)JseZ?n9+X23VfmSl;Rt5 zVRYRj42}%HaF!YG4f&hO$Y9_Q&8izI{}ei%8(II;M-2XEdss6gH<=DkY&Hx`E3(~Y zo6dwox9)#$aXE))A^M7nkZ!5G+K+59&&t`1Z+Nlvw@HLoSwA-qBE$GJ(hPVWo^vJ} zTu!p2Z1LXd5_M89ut_HUNPpCaf4XpHCK{*)4OJRwn&|>_uBa6}SQRJ32eFoAGNyEx zlBRWhS?9&3l|t7!(v=0e>R@ab_mC4B2%}+jr0B3qT*(?oUBzRQkD~Y;QmLs(r;d7J z>dL~%@EMv+Eyn1emkiODAGIwzG3EI>+t?hUtqZKzx|7^iB%Ksu@uMe6_i(G2Lv28A zU(E4npDi%iOrT6(E)pY)@PYIcQ+4pnniHZMt+tt?E+sniLUrvNwdu^LwY5rld-2+2 zQD9CK+csUK#Osyg`h%o~bT81&mvB}I$}-1}y}?9dBN5MKve}9(MqOWu`+fINGeZvg zY~t-7@0w-7sOP@mrf1nONuzmOkIt#6SJNWR`>k^OQ#|Zd*$>Yer1g4*wP>}&1fyQN zOf+@>x!czA!w>7wCg~cYBIpPv6W!#L1w)BQr7|N2ynxd^eeLt_ef`B>zW%v)|MjQd z{qfhIe(%Tce(i@&vf(NH+%9z7BhlM6lO-v!^zx-mUxD}j^lyLl_yUViV-KKt(Pf8G@T^wWR+%h!MU^!s0Y`j>yF;eTmK>X3GlQ8n9EFUxt~ zlIYUxM^9h=(tH2r+wcC-m!+Js^X_Xez553*z5DpDoK;cVg4NW^d(qfuDRHqO-ltwc zd!By#v1FV$?|kY{pML+fr{DcFn)s_9{Vi7XrA!CiH_UQIej#of?|tWsPe1qdcfRpm zleO)d-+TJi&pYeFCtq4q=#0w--{?T_-j}}m?i)Wpk$?~9ozMQ^(?9wG{$fm@e)>~S zfA+QCedqD3n9ugd><#Iw1vjnIMPN3O(nsL+-ucq!+1&5G!ckbM9q-UM7_(wCB@Abd@fh4^d8O&r}N$)in;*0+H|M=8P?Pj_Vs_%h(yl7n7YxdcrcmDiK?|k|9pMLMJO$qOQ z^=lZTU;X&;yI*|c=~ut4=kdqwytwF>!K?CBim3@Z;nA%jQ)uL>gTgSF57o6z1&u!*9R$)z6$*|Iu%?S7aq4kY{N*YtmX@Fv1i_ z?CzdyK`a289coJ@K_H0crM~PkUum4kJ(|W1$n9ClOJ5{!`Yy%?qFuCb1LQ-(+~WRinl|o z4aJK*>_G{(%(m;GqU@y^G%O*?_EgCc`S1xeEr#jY)vRGOn!>CvD}B%S{;Q#7F@x!# zs{Y5W8;R##FoKgb<6Reev5r+fC~G)Q!*BW@u_`SBXFs^mgE7)dGUiZ~Va8*Cn>vNL zT^FWo-iXqQBm$27Y|HOb6%j0G9v#f5VFkB~4O`^iqVMXE+omeH*)`zT*1(mt7}^H~ zK%*y1T6#xG-fblf`)ye6@L5+{bnCn6`Vt_2_t@OtkHQO;Y zhs$Bn!^{t!{P_%`r^M=C__Qdo&gHO2J--cx*Yq_41D4woJ&SSZU0ue5&l7Fbbp3 z6O0hdjg`ji5TdfQqH{@=&hw)>PDk)5w!1^mMQV#axp0}uMBGWI^~({-Cc-fK+fQ|Sa}Zw3kXpx z1RIpDdOtG~7T|?y)(L40`3{O)KHa`B7dw#m`+E^N8Rwo zJjW$h?nO#Ah`Wb(P8E%q8Rt9*k&);x5AN9E@3tUfJyfv%yql5bR6xck+QcCejt18v**PPY=gUFux}%`DyMJJB%AC?zeOx4; zvtsP9OWt8?6s$dd{wiIrU~Y=TsC+JyDJ@g;ji?_LeMyU%?8o*^=Q_{XyN$IjOc(Y< zaEvDQqoO`Bc#2Dn)uqt}Fjg-#SPb z+^&1H3w-}r7q~}$j87c=KxPkYNc8T7y2G34QOL`Ext|N2<8F!=g|Rqh93KUUaF#3< z=o|s)e&qVS&U!RC-t@o^L+xQlQm$^`NBgi8f&acR?Vn5z2H}y=*xWiKaX%@C4qLT_mC8FX3U0J7I-J!0%@@loAEu!i+gRZIs8H^ung{D-+kO3 zBp|?xzInh}n-Z-zX zs<9cTH07lufuK?>Est!@jvakFW^5%oo699k76$QfhqdHDr+`X7h2}^8oaXS)bJo;; zL|%=2kwRaZ(?Kr`?SFX99-YG0-<&!AsV|{nry-gBM&hMS?`J%h;JVXzL|tcCmB&Mw zBY&T>W(U=cPF>bQit~}@#VnV4&z!*}^R!w!erR4ziu{1j&so<)0$LssU^Z+uKDqo$ zSJ(ei@r| z%>b8brShbo$&r8-tc*mL++ocfl;L;YCz$kAeIUsl#f%5V1b1XKacqfAuXSqi!;&y< z`z3`Rs8Is~K$H>^e`2RsR}A*)3)&wgH#{t6d{E3;QIRE5U645W z4)I`b92PaXk@>KD?5agS9=n`hX{0|C4P z0oW_O$jY|uaqMeJB1>YHW?iILPeGUA_WWaVaEQe!(9x9a*~6Z`p`yp8@iET>_Emb_ zskJES+UOh|?QbGkG-Ykqw9_hS+#tn31V)SV+Jr&Y49HCEr6R;E1Yp!yWJC#iq6GVc z4bHYnZ?+wD^W@$cPQy%m9?)H_@ao@zG%)ACq8^ravo&Z#jc+ zMSzLr#l2-l7y=n!$MN_4zAAh$`Qw|f_~@Vm;=v0S;T0d7D*G#2*qz6-*JYe14}0B2 z?;oyq7jZ(A9U@McMU zuI2X@GSuCl&aO~qw#H3wm~Kuq4)aig@KAz5KL;a!tb;#Y@jO3I%eqmS19OGwx|ulo z+EuzF^g5#-=(d#97kuZT{3Rtl0X%0t-O$awK6kby%s1@NhFyI-tqy*oOOTqAwUCa| zQ1D!5z1WpHclXK8r!yTP51VDpZom&P_s~X|0s2l56G59T42^~imz$|6g`Z~A%4V$4 zrCldka<1cZ@gw$2tZw;G3^yjhHd?WhKMX=us1K@fv!O@Q21}yec`Lqx`2RYeU*h>C ztx)_!$`W(|EGqgF4a)wr-+Ja5!rNzw*aov*$@^%uP7y0vj%xW4s@`r(ADnGt)P+a% zUpjFzu0@PRsaFsJBVROIJ{x(2{?%y3P#3avX)@t~bzZ*tikdlZ{ow6SzWv#^zW?^W za5R@?G-7NZW(!YlF-PWTfh>o03L~@LS<7bLi1XoFKYaV8xBlksm)`#5Td%+UFW&mT zBLN3X@@2v@zN?7zYMQ?J3iOV*UVrOv-+B$%Kl}EJZ~bUrK!90)R{>{&{k~St+h2a` z`zYY2`1|v>e)87$?MLEI$Gh?8?bIN|pL7L#q3g5>ZYz7;K(sVFbKd$1+D5@%fBP$g za%aVxU#pXJUu+zV?=5ztvebU_4d`=k{S4Cn^sU$Jw|n@Kd1|p{N$}S z-ueM&(Vz?1uc^MEq|m#sSVn^3MfiL60Xlg93iuLLc>4t2s`CtkC0WsNKjjGRyU3k{ zcjqo@E^YZ4^S^kx@yRLu8UnHXV67h%tg>%s! z6y9WK84KR&2(1X2dGL9;^jFz^Gz+@eRGP z9_)Lc=VW)5o2fJN!gIEMAM0-S%I`~YgL|Ya&d!TDar{`!8z=;SDb8Cz#~gWmFqY>< zDrpC=WOV-|k$vqKFRxP@Q@l7&_dDEYAoA|eP7D}iP#w{tunan!cR3hfpdYNb0 zZceiE=^Q13@%~82ZH5Jj#43Sl<9G2yQ+&5){-VB|zzUs;D#fPPZ7PP8q zuea<&=^Y-k4>S2#RI9?C7t<`c(b}WJ*azJjS(Re7cX!p1ejXD85VK)-q-OhYDEIA- ztp6DbH9a?N4eU&>Rx;dpf;cvD+L$<3oAdiihCRlTT=aTYTZj&EYK!S`o4SJ9h@f6k z`j@aP(ctM!pfp40^$3RI%JS^`p{d8!@mhXckH(Z5$9;h%EXO^pXA&ILGa>yq>LKU~ z!@2|16NJ6?P+RTSBXJ^wdL+tVP>(pk?|Vpoh%J}VhSdcx59e=z_A=+S^<{NNf#m}$@*5o zmI#MRLjkdHe7R*J4=}QT5cvu1vr$}On9f!?`i4IF6K3`r4n2s+Z zPKenj?x6JVh2S^)`Zr93661Tjum(o>c3&p-YX8L@^}bmWp7sfQByVkn)hazxJQuo5 zliay#I5sb6;u<9KbfU|wSg)N;Q9*5dp(uGz+guizC1H<9hF7X03er?%S1Naw#Z}>4 zE?4TTR7~SD4dYi09oVqWQZX(D8qlRBL3T(Rl2*EGa#LlmSj~BZBy@e$fv5JfRlg~n zWD%3aT}dyfDHciknk_F>PUrp0OI2!`8YCQd^5_O)dSq#`Qo3l(OM_$+herii+AE$> zkY?vRt!s{Yr8F;SuRRRV#f(>)kmeJ-ZtHdDjg0&L>7>-;GoRoZt2@Eoabj0(bI9R# z{f&S4y1l|1BCc~X5QdlaIU!Nnt|VZHrFd)>gPQv?GD<+Rv@K?icvP8Q#dqtU{U(k4 zWUkNjHSa7bXvmJ5rG|yZRyC3O>LgDz{}uEP>=sQf4wO(uh>nri$jqCcMyaj*u`w=r z!gG;k+XB=HhGS(v>J>iSp}_6+PZWu2*)!8*t~z8@sEoG6t2;26mHg@M7oD~=!oRg; zkvG?Oda@M@bQk?gYdKk3Vs(@_EWF^k|*dO`S-eBr_;7S+S(QbvYNQdUEdzrlGg(q zn}%c4%pTZr!ha2YiSBX5X4~*Wqt_P916o_TQq`<6|2(MN?F4ZMIfcnHKcgM`?4MEt&Weir#CPODJ`>#WMtcp8Y(yJqKwwrFk zR<@dNQt9$pgKd+4x~_R(*?O@*vHnv5Wca`Vmwe&tvJq;?dROw&S3-KAld4%E9!GN> zD5QU3l#`%{q#Gh;K=)f}G%3-Q`k$xe#+kRp%^R|;^-9A|IzKP)h=DvTa4r$SLVmt4 zd;cjb>V~s_hEBkq*%d6I=FGY;y4uoemerytrB^GW97?2Hua=_~-d4?mP62}kU}zGK z6}`Tnv!Pkyb*~)pbYVo@z6taQoMO9&ApJVcPsf_XGq!3_ncR?6_DZ1_iESxyaL2mo z{+4KW?SA1o^p~HN1oA93c1|0`rfEpAieXi~{R^!L>>v9Y43@&6j;kcAFNiYax25-| zO0Qcoa_n6d_EfHf(wn8z@$8^*%*-pYzV_nSKA`9W5A=Q&7pfKxW|~jVKJx5X$KU!6 z2ol3kat)JKRJJB^Y?7;f)Y-ApA2fsh-EX$ueLE+eP0=y>{iertiQRHDEiy*BB$tfy zhdRLp;n7D=2zlVfLr5K-*z>{~%O4e1VIk%N+fp;UUxW}yu#TyjGdhhz*oPy}A{tVb zzR;v|`q6AQ#heT3Y=y;m#zjvNA_xkhz^q3UGY)GzhI}zNOik zP8rv%@-_bETS)E&PB1==#}>@e9q}3*z1MVWB-c_p+?~>o@-&QLD{q%*6y|BS16E0S zp3cPiYwOS_5e9h}(W)+!1BflLn~2p{FanO#jqs@U-5K2VROfxmCP58z=RpUOnx6hdMs9K zEW;WJDa@LeAY*}-FhzWQ)j;!Sz zsyt`$QW5)r!#Nd~17}%bYM+h+$B$1v&yu@FqO#^Z-jXia;vGOAb1*nNV#g0o{n*N$ zEzk$NIF^VfflM?BA+*mq7h`P4R;Cub&vd2@c27>|4PIhSC*8-3^s;UkzLYJ|IbKL> zf9zY>j!VHkF&%{RIh2Mmof#9%nAKCe4<;<|kGC)wnCd~-LQ4mtX z+04)(7@sISorD&F?h~Tl)+r^}WE>uPj&Wub;?(Q#nqYVz%rJQLnTLTIod$u04#+um zQc(@qyJ^-

t@+Ipc=!hIYcUlsLWsm9BQsy2tCqx1YUiRxtRnU|)qJ(!tQ|A0 z&$QY^UKUfrB-}S{)si*Ek~?JXoYC&vmBJD_OEAl1X~EAtPNK{s%r~Ti4U(kvZElD7 zL1SGtoP?OJJQK32VwPUNT0n#_wgJMbH6!)KRg-%tZ;~A;gBSXMhRhg_hV*>DDQ*>~_+LtldI`BpiY<)<`eV z9=r~rx0a>oip(h>VWigHawxH!jw49K?QY7*)91MVs139`!Qo4EbY_~voT{ZhtbTM7 zY%(!KP+g;?D*1szGgGV=tfNP^Q6G8Z72D8T9Ru)`$Kb}iF@a8e)ENK zt#i5MIkN7~p*)-tS$=ft2iAXf2ty{vaaf^bSJ(fxcw>FcDgkcsC#Q_-Je3tNusm}g zw{rxk1|vR}7~IowhX*DPuv>XNY78Z>6?B+M`YAf~bi&1wu}c+UQv{Yuo{f<+I;AVf zsRs)`p~p}A5R0^jP8v(E!a#4qlX%Vs<@l8427Gu3KqZ(!=nf``<(-15Y{1V1=f}e< zj%vrU)X~0$RbVpWp^r}R*%V(iEg==A`hL^3qhWt6&0s|m9yOH3BLKm;t5 zCvgkxrE3czZls52LWk91C}CTpOJqVBLi&{A<>|>AL0X>!i1|g|PlLtA15sUkpdWhL zO*7w^b8o_+qfq`gLEWAwW3Sfz-ePEbjGn@Rq!ala{+cc!ke0Com)?hckS#5po+FWi zUZbC2)?7l-#ml!eUB?DQk_Zp3YkBZP-RixMZY@!c7Td}HhX`iKct=qOF}y-QY9RqM~J z&+#1|)K$f$fe*zSDUMVyfi+=JZ~|3@|9U!u*JTj@VC~~~kz|?Sd+O5rI=w%r0JDMt z@>R=579;hzmpX8G5Y1If=-?nunoKoUP}n97bkeX(Dj@oFxzh>9ZNg9|jJkv(vG5fs z9fD}&o%B-2jyZ0Pq*Tnm{Q4D`2v@p!-iaf`D{b;|n|!R1QM2Sy06}!~CP?k}Qcv2{ z!mvc_5XRVx)J*F2lDd1C)k@Pi#QP?8i6fIZ=q1*z#E^8vk?6X>?^N!ir3;U4YM$0mL3NF;dMi)uP$EWS`VMMxVSO{>RoGn-{ix#!mk zqJH9Wn^>5-_C3PeIh}HB=BZq9q@oLIz6mpzCPoHHJTZygePZ#6byhsOHhir#{IgF1hf; z>F5ki?uZtKqkh_`ORLF^odwoaMY=GdAB)@cu1P<3P}rKM1A4qOCBYLqHRfOF_ES%~ z)bT+Zy*8;?Kd?IXlSYm}b<5i_Zj-i4hdYpgcX1bT`e4ZEFyx`9(?9p&XPyxiWsj3c zN0+nId?CnPt+e5)gSTKPlDvo)H*^+SR@Rdjzy0K;SD!ro)RV{Ge)9N_pS<|;lgEGc z^sgSvFW-9d_)AY7zwzYpH=aEH+HX6^iJ}WAQ-z)LQ(ZLzDYi-pDXV^)HL6OjQb#tH z@kgz9e)cEteCG>K9)I`gH-Gr~q^lP&D3ST{~Rt(eKfh8}*@dh+CN|Kyi{ z|J|ow_^Go_iS1h|d!6Lfs%cW4%SBZ_g!l*DE>#X-l4KWhE*r=NT8 zldnDbK{4ioD}^fSuhS)1uV^eO|S-- z@kP}1c}~?Ak@qh!2l!$&=}y%={Mk=OYAV4;tq=dkugP)a&~YHd3hTFQqI=f{=&~cc z2q7;xs(s)on1B{-VS;i?zd2GNys!od_}HYa}2AaJ(A^vPhzu6e1GTkN7NNf(%{&9b#lh%?>( zF?4vY_ImORBDMC3@_d6&ZRII6O00WXMNkxD7YUO>`$x0Zp%J{}A*SS_y8cUA(p{a= zxcd`Z+v{&;cD>8yuqnF~q&?GrqKR?svP@vdg{mq#sO{?>3&fD1_!z`(1I!&;%O>aQ zf3A9>js?Iu$3IAW%{+0-J!WAMB(UR55n}2vy{U!A^b+*t2$Z=14#gT=fg)P4*JhA-wk*|rcaOm0 zK_mi0ZLIC9w2k=_F9$^eh>iBOM}aw{!$Nq!P$Pqa)MFgANb|Qz%GnJHyJI3j`^oEO zw%%EDy7}9@Z~n#0^vJIyipVi_iEEIE57mBcuaZqcj3nX+NILt((lN|(zIj~oULW|~ zILxS-W53wYm-A>RiaoEhL5W;JA2R5T76juVrD5l|z0y$Ujye)$>tA8M?wQFL*0hgm za%SdQKTFa0DuH=2t%xm!e;LMOkt%7u-d(oK5IHy!-t`HG(jJ#f63t+aXBcI=BBbYu z6+_uyV|NpWy5#z`!sajiT+b0EDL|^aT=5X5B5EX(!IqPsT9^xdxlww=d~0)WRNMG& zGpx8*ynccQr-zwI3Ury&P@nBu-*_d$M~D3ZBlFxKtviBpyq?uc{t)U&Dq(buAsiNQ8ze9#CCf`%mq25~-NqZj|K)ENfFbo6^?gCp@t43I3erV)&hl zLZ#B7w(e2+vEMcFGgIBD!ozB}Zl~xM^;;#e@ zff7PAS=Bz_0~wCztbf)qON#cQHJO%isMugNPEDBGFgkwZBv{WF0Dt|%9BcP7J<}ib zxsNtMg$l-5V7t%f*$$)7k7XYbFgS&-DW39pRj$7y`Gs62=}OYa0h(HdVDK8>UOTqz zBz#UNhx>w^zxf8^3(MloS1|dmUtLk3-IjEVqiV{7%0i#O8NwIO9Kakee`5EdUQvFj zHf(Bj{R-#GmAy@`&Ki8VRrrbg{k0b!-B-95+uFNXmTZhyB`#J;$^M`_oj#7~3+roM zoc)+xwn+O*HUq5kd^5O))ya}%iaDbIlXlK%T=r6M5+sKXWiVv8wn6;h`7^f#@r>A{ zSkl#$hfwb)?M0E_QW=l-?G9VS$#(dxdUi%R36Xzv-)Do6zB4F8a^=D2c9Q=P40Uw}r47p|CA}%UB>j z_$;d}4UPvUyS%Xgwt5EJU;)`TmwXa&(^6b%7!nAUT)s#tfa z{Lr6xLzJ3cDkc0^NHy}uW0p18LdFhio+c^wY@*jS^lpGv-BNJTnzP*gj&VH0%8-2p zVFb$neK5@7IaAsRHX#bjbpu<{QD!^ws32P5VEZ_pV`YSb-Rq*c!C@Akq*@!*r3+wt z1=e`5w)c{C1Y(REu>RhVt~t;o=e*XNsjU(>48pIF5+o}aJ>Q}w!I41} zlL|3*dE>;BCl7;NDx!Lph2Z4UiG5ACaecyoWiN0%KV*~)!&l;PVyT_@Xp%9mDmFwF zY$58U5l9$1lbBa*WH?RBIjwnW1*xLxE7|UnE2st92tBqYtcq%&qXe#q?LB52Z zL}PeJ8ThUfqo<*MB;|_EDpQqhilTJH#-DhRLo&u_5?H)pR(40bRwlDD(IM6$4ELsQjb^7?!=m+v=yvK8H{C?OcPTmStg@s z;;=7*@x=P$51G4WVSCs3+#7o0(Wod?R#`4R$#RWWO8+&b?ds=*h({{)d_rwQbS~LT z?As)+b0@wAq9CA|n83VoUR}RB6aE0g8}W35v`kFp%OL`Kocv8&Y?OsfqlKOyg(C+F zl8Qk}48RJk(9z_W1ocfM#88-_n2Mc224|Oumyr1SRcs#RnW}~bO?c%wvEoiB+AO8i z=ITVG=;X0wY>l0QBHNqm?}#Ita3MV>WK@oXY9Ym!BAD`ybF3! zq$^=g3o!d!B#HcwS~}u`8vDn{Up+TPg{G*mEh^MZE0jylRZ9}0mkE`^ij0B0q4m6v zVuH{Q46oJ4Y)wb!c&0F~C!gHu&P$$ODp(N$8m+&=7Tsv#NLUj*kXs5#k`qDZ$UPm8 z+>c^(GN!cYunAwau=VHrwF>ZY)~4jo{P$~n3HRe7|O({Z%s@OyIg!4 zPS7WzBZPRU0PjpGer9d=_L{)D=z}ksgxJvRpy#kV4akcS08GL zqxQCq*-yK}BZ-``BnWX!YpsQbTnbPIsSYs3p*160a@8c6VvLuD$~tQ{Tb)y%2OgXS zCNTSRIZ|)^LO2ZuIpbq>8pLt3WwPSo!NZNp~_pn~Pn)+1JR9PiO zlhHKjdB(WoL9YMhLw!84PCM!7YE3vti!9bA=q}k^AxGu~V{(qSSd1GUu{wCuV{Jh) zm`KvZ9pOiNfFvo2#29E*1hXC+zn~^&$-K~y$5=28A!#6w8C}(sjEmOjWKvz|jPxxb zW}PIOph-J{_SDk28V+@Yg^dfB#ZP_to379XBD~Z?MM2k`ouAj8dS}zDqR>) zL8oFcW_|eUhDwCch#WkS2)4r?)v{x_C{rQ$;A$~UWQ}Ys5EoSCK56t8Jn&qHTtucQt$OzvhEN51!It>iSzqA}+y| z#2?gna4nmzBbNw|VI^{OQgb z=fYKuF=LpI@IH`BRD;?dsWL>BnsDJtP0#n{C z^=UsfY`}7xi2wdcHJ;{!JC^m z5{b~QoYUgcTqT+%bFrlB{$fc2<1Ih>TjeZj`LQM=qy}c};2JSx^e2VdH(OKX>~WJ^ zq(tQuG(_=|fdWlEk(Sd~R>)Ap{yM%x>{PD2M{~PctHZJi)z=lv%QqCv8iQ|w#VM8& z{2K%?Et(kgJg&{II0pIV;7Q{Y5P)_f*@Hulh!$`>-d8=*u34`BDs^k=!vp3R)9f+K z#Mlwc15ZOr(=FN45C~%ed7&t-@&jUlJ-jrk<_#3()%!}M7jvTRl9h_U?1y=UIs#fU z``gw1&3{buy#UQ+e{n;&QLSzkWDAJht6Llxspa1>cN8u4x*mh+Dxg>qj9ZeCd9ZAcj015AF)^oEfg5_-)r?dG$6V8M>&XR@7uD`*;HdMLthm4pP znwg(%QaxUqbeW}!eGCJiZ_iyawKH#;%oNcZ&BXJfhj(pkhV`5mY|mm^la{@eWt(b2 z7`#y>4-n+=74XKU_=BRP%M+d~e4x2FF>k08z_J>$i4_MOzHHJt{i84^QGJ)&*E3mX z(W}EoQCT_6&*~GNjM%b_^-9oFx68*uc+ICZ5xxoLNagD4uI4e&gE*VhBqQ&zom5-C z#5&fLA>fK75h;>aA==kV)D>7&o8*J^n=X2rGKhAm8!xw@Gi`Q$kP-HEnSIIh627E~ zc-W<7Av)R|h9lPgDO8}edlyVFZ<|v_20s)JTu%(^rDT!mCD&%z2YRKWwxe_rEUxBd z&imd1^zoGb`<%1h*pD{pN&Bz$#((h4Gacu(pn5vz1?i!b9LqgweLzo!KO4?$@innO z0pX#Z-kyZ`Dl)h)tIWNuWY)`guHS5W*NI-zJ%#2H

e`W` zURd|o4N@LI5KNsRQkx`00V|aslu)U~g03g4L`WuS;@d)_C_eS1XpEu z)>ciEag~-BxwXOsy=sbes;xXtir4!n(Z`Im-XwTYEvyKtsIMByj@BpGhf;wA+!0bY z$(q^v@GIWJ6!nOk0TFU6O=<~)u&B7eQ1Z3(q0qo>W@Mcme!1BOD3!e6fE4Vv3Pm_% zvc-zP)5Cl|J)=X|k)P^xu~6v3^CHVOx@kqmwo#?zE{Ma7!Jj7Yw=Xs5 z2DC49rL%tX^2!Rf>T=OYI$G*rdJG z`%lAHfUNK(y>OBo*&2EYAJ2AkLI2hy%#g z<;G_cEG2nmVRh$;{BXSz_lYf+mi|Y5VT99} zU`py-5{( z+iKrvZ)B1OZSr8>YG21#>2MULj)U<;QipA7)1Ugbd|4E{o|NQ_*6^Z{IW1|EM@Dw- zK-3c*$z7E0>tlj8dEDzA_po<-jDpWQx1gV8Y_jNE?hCccll`EDBR`NQvDM-(>`&hH zp>@B>5Xv8guC8I+W^sF2^brLlqeEWOHN^`9KQJ^{CYN_m(Lgp<6nKzb%>6ct#QS7~ z)Y9=xD@7{ndDr?dj>mzapE6m3E{ndiSJi5|pB&-Xi_CfYsLc^}IZQN9ul=YacHN1m zv$U@T&-0sUJ45t4UO#kQ?!}xd#WfUQpnW-a~N^Y@D+3!#=V}>fj#|6 z%UUKeF$$Qeo#fu+M)&rb?#a}RJ)NhW>Her|x(-a578jhoZE&6!`k}r!2&{iczrUOK zKAGB9j;NxaAQV8#+eormTXQ<**efUjiL)Wjh#=c=b9Kl|`Ft2WKN_EoM^0dIv)$S0 zY<=0oA8Awmj_sX>k>gnd(3@lF{P8Kz2qhsjI1`0ORjE{igh4D(_?CEeJqPuaewae- zRnU>>W(N0plpT7`xGlTLq$3E$g6RYiZRrPbK;T_8p;xZI@elgaxtlE2qiT4mJpOkUztce4e!sz{>8#*&GmN8GPJjr=ie^4W*Bme9iigRL+iMqp2ClGNEa}FpA%9fX%O2d-Zp@ph z+GRy4DChfJfp>rGl1zf}J|2aKE@@SDg%siiac30Gs5kvI@sMObQvbfQ%y79*>n36P zO%U8{#zm4i{Alj|cww)-!gRM*YR4Q2L+#dFSN+@Gml0u+GFu-HRu*k{LK|I_#4+PC zd~cl6#PDt=m#VVW$2JVQ=8=^t;>JK#8+sb=3vfs6D{Fe}53tY_u(z;2FtlXG!0MT; zV`H2a281EF`WJ!;DF%47KM;v+%X2NdQE7zV_7UduDxJz=bu)XWuxXf|tz{umYXyLtV!n7EG!-w5aX|fW^Lu1@zi48 z^=WAr&vJ5NkL`vzE2gBsXwT1E&AJ88h3 z3JV=R%{<%em%%o_&^~6h>25_L2IJ#uUx;nM&J<^mRIP0EFQKH99p3QyGHEe=schGR zB8eK*9(3i5AHp&~XM*|zZ;dds&5dfOgeC^~R8jDiDKLk&bgf^_0&5eR>n zK6+r)JXsYl1QxYXqzO9ojf@W695uL*ICvwQff^bgN-%NgkiQ@WPr>+gS%r@Ze^6gM za*ha^V2F6a&wk?hrFeqg$m$)6O4vVU5hlGB9LhZuHumolR#aF9!D;9!It>pp2VGwu zkz1by&sI$-atr{w@_s?z{Y{u&N$cpjKhE4Fq`=XW$^^CWtf6C;wYcbrdr2fHru1MH z2TQIf!dLg`gv$rFErRNW?dUCIX%_DFZwKAkON@C zPGLq=LR+_NcmiE(B=};ToH)&5W{2V&^ZaPyWLVtJlcjk5=E*rqJ@mrWk_$qMb}YBK z`SPWt>>|IorxOLAJ6BCFrRV+8Ez%0yj4=)uh1@YFx)at|3s2;ucri6O59jIWpU?^D zd1xlLm&lL+O(HP6{+s&xRmVss?mfaB(xK9`tkL*JS<=dpK1k(hOS_(8OG_FNE&ZVR`V_}(caj;6Fv_WjaS72CHQgsSS=H&|1s5BhDy4LlLO)0;Y}r(aCp;s?xDeAmt~65&{`b5)Ia+9}3*GWJ(rfi6 zS2t~01#2hNw#Kb&(Akad?9e}2us)KMX}eAtPm=3tFyr1|+IsMpi7uRpxiLTm5wa1y z5B~VRj@Ad=H|Ojvb;wi^fSY!!s+z5&Dj}qvIiuV9KF~8~r7m(??t802PYERSGTXm| zsL#J;NKg;nAMf~V_oW`~xtZ}0P&IcniF1eLZVCaiWV09*(zWEC4m8+p(x@6cDPfon z7OcB#@tzO-`znzmTzxymW*w`*H5Et?$S-X)408Oy*}th^xx_J$mr2UMJd+B zc0iUIdR`1JS$kqwJF8q>Fy7^kdfZ_>Tpx9@osctnSYQJ}J$faIkFP{>y`ca)i{x9+Jo8M=07#`_M`a9)tt`X(Uz&sR!3*^UMqvJ0LVy!gT5)nT(Er602p1NZ)o{#q=RAaJIg~5P=Dhh9wF#wKog{&){?2(HI5$hA_ zDLjOX@{dXM|FkhrGTK!39g(n<&|-#fmAg49k- znQIBt8lU1-nmF-@u%n!ggxKW6kPo4>$8_nAh#4wRNBU_bSp!E$1hT+D4t?9AV?GZf zdL55_6dgNsmB#BwP*+PLP?3P{=O~uIqKvs2N$GOZ#L~x3=sHn+%5a*9z{>ieXL9xf!G6o%;HrNR4tQBWE&UV45kK zxus~~)RqoKqL`?+Mr@a`?=)}Qe;zPAo(?c={|(TWsCXO`j~6{gp#vwf{&$SKY|f-~ zKF1qBs~Nsyv~s&jY7L33M}P*}_uc&TSsK6V#?Z+d9$Acf-p?gQeN)|DF5Xy(|}!DM?gFF&*Z4A_rt#EG{?@V>$8e%PSeMLa-GpHcBbgV zHOH$pvh_)Q!MJ0BO7V76u)=xJIag`5YYS*0D;QvirH+^yv>}{v*egS#`4v>m(%NC4 zTlQ+^C2K+kt(vB{=MHPufW*{A#eOGl1w9Lw#e82-E5Qp57Tc?p%CEm6_XjCG0}f=E zGV-nJv@Nc2JjW*ijP;-Yx|aA3cCDk?>ww@QS%2KoXwpVi+AMYrpqU2vQjagXO=YNxVpOROFry@t~x?entmrR(Kzvp~?zk z!i(&=+{+5?zW&A1%V|7rgKFdlPs5**4}pP=F4x7e4knpM0tU?M5Rb7u_cgLFGQ{#d zG$AvQ#K-WvgbIbBd}lPH*s?KWN&YuR(#y$!xtH6A<@RppT3V`4(6tr@YyURRex%RG zPb`<5u{~9}Q?;hMyEJxD%G5K zg&8b$^u9fR7IMHwN$8sY$bMlX#aVtA8L}e5Q7X5Qyne35O|=z=L1L*0TQhedc>^Bg z5l*C(2=ieBD*nm?a$#mc1`@;RV|c+QNjB3=A_)eW1Y(*rZdnB@L5Zldw&B7bGh}|V zV(nG8ES4}S+R_fLY*q!Wd!8Xw3GbNfM{*YQoIR^gtjE?f&xkiN_8B!zW&C)MjB04n zRY@W)k!7-ImPrS-D3A-r{xDz{_*HKAZSj#y$QmJAWKtEGFo;+>_)#zFJj5pJ0~*cC zWAQW)@-#t<@5lyuvCH#T{>l?4>=_x4K@6%qQIb-%ESxs(Lv`e@0*W}E=qP4`@-c3I z9-Vm{v|LP;mjUukGU@Ai6=)sWSTb?Y7I+fNVaYhygbMi@lm|{v1r`VS4WplN; zekC8uhe~Qf+Vth)%2ZSmroe+Vo1s^7uVzwqpEQz&kx`&FJp)x4n6KmZ>s?Y_|M03x z7D97ZT_uD;*>kE3iMQS3OqbKj)|U!4!g-1vL4Z7I#c^e6xgDkrqd2iX4ySjA^%7{= zqQhTe*M1~M7|-Nn_dYo)zM)UB%7k$ptLwkm;lEsb%tff)RTqBS%e1ZKmG;}OH|B#xiY*Ikfr2pdSF2Rovl4fpg#<#HmySymV>2m{U6C|0 zA;A&p`a~@hZ5K=FjAd&s!28p4CxXIN&IqV<#=$%?a2-Ia9yi0hJ?b}Rk?}_S_zYVW z4R+5n$nyVxYxeg~2GJL(TD>T0n>8Gi+At9bq9fKdIw+!DxmZsyGtvu{TV`{~$>Fp- z*jl!9=0AW@B}I;sL$rMY^Uo~Bdcz9a-?3uRfiT&x*Iv+#fFWG-kBkAg5wweZn}e#Q z7b`<8Wh?BVPL@nH5ImOXo!s%r4gO$1?9%KvL-~o`eMwq2bvx?^V2mqF3d~ zq?2cIbem|?TPhPL3fKt^f%E%S4vvqyqRI)C2Cd5 z7GR&nsv!5W(U}noZ(2!%Wz%0kABv{N&3vX+;oE}b=+H!k=DL%XY zNp3BZT47IwGD_^kx+sOEk1h{J6DH^Gm1@0Tp@^bWOAZy5RbI6-w6G=N0Kq&X}%OwwlhHEK~S^9$-{s zE8dnTSOh~$c_w!K6LiY;E1P!0V5xy#X3+--+X1_%*=XQSOcivHdZ8ikE-?qo^7@C+ zCYb|e&q`VF39F#^ho?)B(<&-eH92>&`ZBfCt65=am}NYOFN`G{Q?T_XLdR^I>(?;$ z(Cv8mgh91RbPXZaS`gZPV$ur1w$YQJ;HyF0LjwyZ{loy#3@`H*D0Dw3>jp(;``~ct}l! zj0bjWLYGULFw|ZEc*=m8i?Z{nwS;2E@y4#c9~O2iXFl!Rb&b=lz8&;Ov5vEBxZ%Gr z<&jFh5I8npE=PRN_||cat65QZTq#0x?;KF{%^R-|XK{N=fWexBtC6-QHH$omq1 z9BSW1Y_ZeS5xU>Dm`LAOx~BPP&N9uXMJ+toXh5c>(2L3B$8y@-Y#8~LA-ZoXW!=|Wvz(3jp za_vUMk*3n{gv5s3q;u+kSfMt>Rgy3Wqv92z?VUoY+)|SzFl}!rV$89IhA0{khxQJowdCrIueZ%3h=MxVj&yw0Hle#VbNR^SpNcaLcgLLCacRa)ti!nkszH6z zsoh&rdrnGEY5P%C*b6M1y#G1jMh26Xj?g?H=iE{Djo+lzF66i|&~ne&0(zFn=F}Id z903xB3}P{-k5RfQQ*WePM^3hOc3Nq774fKtYE9dh)2-Cg#k=i=8OdHPDB7s+Ql}1X zOHBg?{hgo7yKOE`$P|HrW;mfEVL{?*sGArZX=0%L zFJ;}++nZc9OZ&oG+BaDGDt#!J2=wJrk6MIjbL-0js}Oq2vraOHl|z*$*=g~-BjWi^ zwaaHKp+Dw5OqzCmBXF<$sD<_J7>p4aLS+WG;3v+xf`+4Kp8lv`B=43NDR7KSq*-I- zGp3LdV@6N-;MSM$f{5|8aazMVhN zbQ5h&%Id!9UUBc}6&IU2mTS4Cc2c45Q9M-8Z&G;dO=?H}|0buhKz~lDnRd~_I!2g> zV!LLY+AEqZJ8a!6W$&&Qycu#CUgpQokNnd(BxJM&lXzz{qA9H^XWq~QnDBsOdm+@r zjMF_0Luf2kd%dv2Hi2c3K*_Ud$!q7b)G58w3AT~gDt8UFBG`I6-nOL2Q^%)X96OPg z0PSLw#}R3N#~z=KAi&sSqY8VCRxz1F02j1!SzSt6xpigo$*D(xJ*#Y{Fpcd?>}i9B zVcvC3QcPZOxwgah;+o( z0!thmQHAYm-E%Lp=`dwnFP3Ozxcyb?#CK2}q#h-fd6nge~di!(<{nLp35?lJ{DJ!ms zmPI4*>Ub4la2oNZKC&{5jDXo^*)1=c`|N0R8bWXPCg}HuP&umD>7(wW$-Uro64JeZ z@BD`6YHc9%jm~6@yvw+E*hYAZ)&=!oMM9P%ZH@QA=B|gid;PtcEqK~;&URQf;qD22 zAPSv7vZ5BwWfnpM&T&=tNKqb&&*>mj{t9#E-Q*2*1*kAQd!ar0QjN zLS16)3KNC{8*N3fu2@`2CL$u%DJ`PVQTm>g7cptBWeao}u66{Dv_H#4l0DKqeZ05S z-W=UUzPKR?R3dD!Hu{aog*UtlV%Pp1JBsip9@+og_Mn9N=o+mt&Q!I%kt3Qg$Cx>M z<{&1G>)bs&c{1b`5J;DbyfEmT*Jyn@UmI8df~s*dHWVc$QfDx3FZo&cpUA%3hyrpwA9c$lgZ$v-P*Jo%axnek8)zWLFOs*@zsV8iJmW58}9{y;_uX#l!I3HOKi zJC3ZyjARZlJqJZO`L?2?!i;nr=1I>b3Cd%W(Q(a|9-?#1W}79KnjUkcUFFb4T>dfB zOI{Q#X3j;g(A#=s6gni}%yZt+DeYZU2t9XxZ*F%IV+XV!QDZ$h=$l!o=>cVUx3kPK zKRCl==UDLP0&6R7#3So(xO~vzVP!w!)mNP?&ys9@!q^0YLYPNYvCK~#EA`&Vs*lCK#@Z1E({ofBV zRz-GB*Fy8}z9t$x`nOwh@H$IQ^3K~l*aq~kbbG?%H3`@1i_SvE!zAan(z58$=p8gSyz2@eh-aMF?pAM4qqJ+b;Z!m9ks|Rj-wfm4w?4R3Y#v%Gy z{jhzqm%)F??uGOLH%O$ue;4W!hY#9LncUO+Rruh2p_eJ<#ctY=wvM-D2kC=$yLJP! z^TvATUEQSE)%%S*Ow7BMTrGJ<+_{VF_wz0xHi~<9PA2Eh97ytecg=nB50T`pR2S_r zwXhBu{C}B4md1&rH~yk%Xp8WoBGJ&$Q08E8dd`jmS0yscB(19Lb8J5hMaRAzLHS{r zuF&w*cZapHZmToG%c|4wiiYB1 z1-@W3a>*!x6Kc7Hy3syz%Z6?+$HZO{myr?Sl7jbSXfMn&9hRbh6hfebei}4+kU0pf z|DN;|1&6;%co^=qUxYME->b}FBF(f1sB=-$+coFMqD+@`wX{`Qiia+5mRzUG(rvp3 zW7MeOX=51%{;D|7cWCH_+i02>RnHSeJVL2)S;X0r?iQ(Sfx|OpoQtahREm61O6#B$ zc12(cvMCY{QP4@61@V}7r|~7`YLz(@-(Cp7M$gH~>k5gSK;*z%Yk$nZH5BV){xD%$ z*P1c!wL<4yu{z=PToV*$mC`9<$t$okNIB>B(PkBoUY(VE6Ejq5&l!&KF}tFnlDDC^;e~M#q7Y*BFxrSvaa$CzJHc)x7vdR@ zZlwAuX_K>BVwY=Rl#=J)bU(gewIT19*#6MQEUO&94`gwy=z3iI-v_gdmOrKu6V_AJkaFMj`&}pM09VG zIQz-#HP_MH)UhgoQcfzZhtG+8I!osGV8WkVR9ljJk{-abM8V(6r$9y5`Ofce?sT^ub68VoO_B_mHXgGau zu;MqP*VxN)e++nO+qG7o9kCg0l8sBmQV=EBIi=c64x`vJM16ERN?TD5I8Ab zG|A}eaCC_scRfrBGEbPZeVsRC<-WAQ5N86yd5#qec^ z{S-(A=tR1qbY85`)YVS+1A8GfiN@AfKJxz1X*GF3nVeHQIlu)a7wGfhIvVqO zhK@!OeZ-v>rqnzgf{r2s)PCmGE1|2!#+dVHD6PbykP&Ugk>nn6bqW0>G-o;lp-nX&z}1>N zwUQAhvS%Hj#rBg2miYOsRGLXVrvZ&UTC!&u7QYQ&!h?3jJzQJYGE7OmVK|hbpMGTV z0)`qt@$i$I0!MowTwcW7j#nJZNu^F1TbNFQvY%58INH6vMh8V&~=wE2)SRN}Axkrd)QoXW+ zXKOC#2V(()QzC^Wv2XP^`WcnQ8}G&-L!>9>6q8s`<^~PKa;dT7^d(+S8W0USQ{=-J z9&1|<(AYJr39RH*ssW8dr$`M7u@_qZ^?ztcHw``6ZIqiP%J!j@n*=B^@$ZL^j`3{L zM`b1~y=76YQzu;(<=)j({5Og4NO#yf9-U#DtjgxiSJvvTWP_@(35u(4=M1Y}Xz&sV zNVbN^KJrsPNB{G%WS&zbmGN4~FbE^kueFB2IGfg&iG+94VHZ{)O2IxB3%)xozT`5#h8Dp8Pi!I&4%Jv#A*^}NqE^vnM*KK#rx z7fG__u_6>!abBOTNUzpAPSy7VJcKC?$-2d}ZkQGlWkF0sn8gwqlIHfhakdP4A^xp? zuIA?q&znoGXhheIv*v;vb&qB#X)2)gz>rp}6K7*X=#-oZ!(4&n66bp|bkUMhE9j#P z)Vw8&Ct1)bN;u!r3yC{R7A566Nb6F$%XuKJM03(TFvDbY7An1B;FDUR4w|8Ak?1@w zLCc$Q51jh%%HS>__QFqD*!MP3S}qq6tQ4*siK; zlK44G9UDu4n`{TgEU7Ye!ISh>lK5B)QtG@s8LiYtZ5pTAsRicGl@s4pe{`%U1}~DH z)hW{zoxb~ZhZ2^CCU4Xk)}u;pG8~>s&Qj7YZ+Z6D3=)|hknFyr;f|keD`V*Gh47pl z83s=A#Z` zD9TL(*(DM)rNx4!aoWom>*L93vML!(R3$`3xIbHDVjzX>F|QdW2wS~1BU_&i0(+?? zUaYd0)dbvB!p)XHEKjf}rd$xyOFb-`@M=%|P)xoR=^-BQ0U7xX2FoKn}8y`SnrTC5Bvrzd^0Oc?t($6s>Y-jn-t?RGb0yVILmkLk|pgX@?JCfC`f zbzN!vY;n5MeC5JR?>mtnk3-ArUm*Hz#+tDdSd2-XfLS0c=Z3^RoJ<0_>}YefcR#L! zHT*o0*gfGUBoBSddmqN*ID|>r-p|Eto+{ChwfI-Ngk>78*$bR72)%$5^X+xuxXm~K7u2(f&73%Jjrh^)+Oy;7J5nJLz^@X;jjCnWFbW5XQp1+uJZ zUixSpPsY}ycl+jcy^!YkKaVGfz`s;NFz>e##%?5s!~2ZmyGARsHN%e+c~KBpg8kQC z*@bsBPR5vh=!gD@)=hV}){XHJdIeRW9Z$*Dx-y+@Oe#TMaQgdflRKLy!;Dr1!NeQU zI@#kWMYqn53q8`v7JFk?uAKL99-WvQ?!8rkjq*Gd++hxLW>m=wHOXaI#Uc{61>Pv&w4Dm=n!=OKN=nYsDY$KC~}61 zrP;=WPi92AA%ZSRj`f{?(J7z|J+dGDf7HE8tTbD8CiGXiY*1h!874?A)X@svs{g2N zor?G4N)`hKOc^ji>dDT`$jmqykG%27{PPS@W4DEAH7yybX^cR2;d0xz-Gy8(yKq+* z9&lU?7!{+cnw2cNC-x8l6AHwf9=z3f*!;LL+=^ zT6(Ok$1d*xO0Xr7SP{acC$x_axjEDIzCFQt7_9)8iUc`*j=xq7#UjP zvB`S&-|VYKEvnHo&*9z7J&wcAxJK4DQH)e+aEPhbvD377kjlG8v6=1-I`mD-Y?T61 z0wS9{A`sbit$@qO?JVwHXZTT($n_4q(s(FM2E?eZ$T|SX^=cx^KGh$?!3cp@;Nske zjN*=4b{BAu&3>f8o4G~68BlbHqL0?3;nua6Nxx|ldyZYuUH2S-eB%IF^NiO|2vIk? zZjsLe$}jS5;m0Z{-_rpD)kE7oSnXOJ$B!ltQhHqK>P^=8E$jN*-HuPZ{XhP*2?Pois zC!tdVm{Se&I)^Qu>@*T4(-{(mmb>Il!b!SA68L94OUstntDG=~x!Eo5{DC5WGk%pe z_%%YOQX8AE0pZW;D=n4)5yfgLZ!lyS4HYWTzKP@ZA45O1LT@`0!>bDiT-HSu4GHW1B@^Mtx-1h$N0z=8C^M zHar18=Mtl_#7QY641HL`U6HEY;BpncTDEPjDZ@p~!a4 zkKy`b(}Iv9rbKFOp1u#;j!ji>VYV*G?-MvQC4FLqYsd=rkl2xq*0t>pH{-wvXP+ki zbR(xv?^{g<2dxI_X$2?!9RYlvzF%^XjL6s7JoqeycAqVPTL+xot-RZuvt6@SThyp9 z>pc!>B2VWF*`;YHj+W5kjG~4TLaDaT^?)sk4V7^$w*Tkq?)wxKA7-nk0z~ z95A--prpSx^K66gk_XjoS+E3{XZZ5z7wI-8iT`g1ylMuP6m{uPN0~PFdpjIv|*xg1pSvyxfPZ0GjZw zYxg7xEq{*Z9Ejfw32jQWp{=<=1Chunf#lkYzL#fA;YCwEOFMYBV-UZu!?k<%^jp>$ z5F|=s!#+!k6f!_6n=N2Ba9epsl(kHRs{;%Ibk-)5n0rUIoGM`RQqRtw8j_|Vjn69l zh9sS%9QhE9O|{|3adV2hj+Dll<|>1sjU-*GN3x%ggis3~YZ%e58E=rrO_S*ZGaM$C zG%sMY0aw<#+itVj(bX1M-7_X3o96qc&+3b%4Nj;DV1bwdF&e-$Eh4h5FJcfhJ<3|8 z`7T@Z@lk1G%QYemE2^T^To58ptpKDxrFwG=Opm;P{^`nPqnZN*0je;L49Z9=_QlHUD{P{knKU zHBwmKTn+VX1G}dZzHI~1{{xN!0`pU5WJxJz7PS=E^|Gb1t^ z9PZ?KWxd(g>z&0HO0bF%(A`SyyDSHMp-zP@?UXgjXiw(4^J#yjjCo2K1s;G+9d{im zXb&AOF7p(~Ww_2DmSM;;yfT{VLO)>^#YFb&B@z7!@EAv|=YV~gQj+(^+B5grM&&zD zIja4PO8@3at0q02hCcOf`l zm%=g>t*fpHu!ObSBwG7ANnGO1)7C1A=<0>dlOf zyzBpr`Q?GpP?HvDe7G1-ve9o+gZn>YHhEx3o9<4tJivup*WIJ_M&;@_&DFm#&`E`Q zW4%ew^Wo9}98_627pWQ^@MCUyhn{HFig7KUzOATuN-(3rZ)u<~dWTS&GNE4^{Y;v6 z%$t3CSoG=St%fP?gLI5@arY$+><^D&++o4t7MIhxf?E$fT5`n^$~J>}p|MQY*6V1f_9jJFUYWLiLokjvuq(uE;RE^6`2`52J+idmcx zM1Yv(XdMQKXTVfk_o)32wA^sfxjf5t2mFUU0*m6C`Y}uhg2 z!T_lFHDIi0C*5|8!_Lrb@R(^UnE%3;3t3Qgb0FhdyDIO=h_cO}hKKtQQ?t?NC?WH5 zij?t&xg4UrD2G-+K2?D?$SLDnQ2=5VE106TCIio9vBQp+Tw&dVh>7uw-FlDGc- zU&Oih#O`Ddo9(7IM2EW6^!6#-DX*+;Xw9T#KT7|W+p(jS(DH{i< zZ%p>xDpN!)Le7OjJua32g@PY6&YCkv+S+VSOz0F_JL{%1!H1Eej!6%s>*bdZB)|qR z?Ov@9XU5y$s~F!{ID@QOKY58tnX>B%J1n-$$$Juj;}sP6M;Zvg?nC&h_oYF4I|d1< zX)8s1aAabt%ECjUaFdluA8WJlUhXCMFP~N0u+>fe!E{J`mG!J?xn8)l4t_S)NO7Ru zxRl^^mTwS~J&lcLZu}QJoc3t5p&48c+(g37`%rmc55)qWUwl~=esFGP;=OY36)n0O zlh(T2N{qRynPbMz>Mhl$#gpAMaUh9~eNPIc-LVG1h^blgAtcHSxY>m&IgEhVrMSl2 zJE(Nx7stRFu&A_8sK-ZG|DqZF_axC~+pSrq=>}W`+>7r=VA_v*5WOFPU0T7RI8Aj# zd1?jVIl*eFPGN>DKN!{%Ak&$dZULDbn5WQev63&A(p7~(3aP|J_TG~iC3yM_!Qo*3 zhHjlZk8MiG$0cnAFHg-a>~bs8$r>yjd~^IElqPNC@pAY9G#I@_L*D8|b#xExDQzQj z8^1W>uN^#j%Y1)Ihx7nw)rJI>9n+YYGdfW+v2LWH5ZaQFs<^YXuRX#EDF(dZ>csC( z;G_?WP1;q86+?3NL++hv@Up?@L?oMX;IMwbd}k7Jv$4w*FlTU>$je8z1Ny&i#fOF% z`?~1_FZOJeF;3k8tgNDXywui(R?G$mSMrmSxW*3arzM|#R6(4D;J1T-!j@-j%Jhg8QCz51vnPsF z!SsaNq`FlHCMr)DZ`A^xu{!MA3sA|c94@@g!D`sdj0iJ;YhWPsWlxaH$`?eMKDOWh`x8!q3DL);Xdfy^thg2v;-2*gQ-DN0s;Bk25QRQh8mRKGU7cGUc zJTM!o4QWmM*a~s^pBT7oO*inmFVv%EvVYcd8MtgGK;rA6DylX+!3HP9R++Bo_1LWa zlb8()9HUg*mO0p@Cq~6TRmX~iU`nFe9EXGs+GT&Ik5$V3~$6>_q+tF6A6}{<+%}7qx4cx z^@sGvAy6Yo_x>FH1DZ%vBkee5JSK=eH;w5_Il`a{X1zZlzYNAlzYrN;xr{E2;wZKVJ|x}{5}YM#@`9R-HSO-Pv6*aQNHb3AxAd~og1u`9E!#DVhf=AzU9AIXGGO3 z#7~c70KiegwSsVL)BcN5WKVxMFySz|H`>*YEj(4V{$n)MDnmLO$nu^Q1Ix!>B-}my zY1>WO!VW`Pk1UTWmb}Ds^YHYY({%XU+caV*o9CeqUdWlJS!mozpC<{X46VpQ5e8tn_4_cZuCq_4VV#!oXDe=OJ3^l12M|HGW5TP)KPGw zTfic57ho>9U@eI_gd@`MAEP;#^2rUfg15x)rSX5saV=AkbXYZZC8{GgtFygQI{CKORy~ z7FD3e_}+;gaz&|V8rJ=zzVoSqs5v4eST5sv^^azhu%gj3T1|b1*77a=WR~i0eqk^U z<}G1Y(52;_}C5eAxxID3Xyt3($S&4*l=I z670?uJk>LK?pSbApx^n0e?y)QA%3KfU5Zl={VXPV5eJKPu# zT*4&=9q}BO;~n$BW@xcL{iHD#?2UN_{vr!*H*9mctlM)e>TubVIkwVe%n@kj1xlIFM{#=uOFz3|RuJS~U>)H&*+=h7;|w6(wT#*oYx5 zRsheNum!B$KKE6D`E+PI5yE!q^KlrpXHUORqHS;DxbJEhg=*`Qp{r>fXB#CpS{xf= zHnw|04a{=prt1x2Z z&~GN_rXA`60>Kp8?6NdHP1($b5ig3|dZ~kOUZ_HAB6;w;^pqY|%;Zzd>Cn z29pqODZ8sl*buLL&mcuLJtFuqM<#_F3udAr5%zr&=yALX)C<7)uc}M4Oc`U_c7r}Z zGDpmyB#15r*-;ZCnKLvtX%EGTP}@)6u5wOkb1M9EW9HpqV*!Mxt}**7w&S$#sRLNf zK}xCuHH$}$S~Yy(sE-$rEOtekLozBCp9T#8l43c{=+K6Mv19ONSXY8^97&CmKk#orJRxQ(d5U)Jn zph|X|3~=|&GP#E{q_D3LiJZg%4fEu~H>9@Dr@q>o+J7(B=LZ@>8Jl}1#DGin1*Vj$GE2u-^gCd|4uKVnSX2FJ(x z8*RH;iEsg}oD9=K6k-~M9;OH6c$WRBG3)w^azOEwiQ9P zwn_bkaO~sM#`5Y-pPFyY1Ei)UkKu5IwhK*}NCecYBW=E&4KbV@7RDn~*}g|GV21{j zOG0`)riL3#$m*xVoFq_2iFN|M1B+c0$JDsF4Pz_tC7vH{ z4oay#hoxcHqA_dVhd6Udh;bSUZaGvl!KI_k$!&{K)~OnZzy}L8gm<>_p!Du7mZWK>hL2pvaQff4yhrVZ4BJ?flZVzqvOJ97^ zJgkqrjP}u9A#$%Kh}#*$TEk%rcOcl(VP2)9YT?S6_S7*UL|-|++aREu(ne#RMMDN2 z;FsJy*Rvc7hQwKvF%!+E2~_mw9lM2|NUZQQ}O1Uk)w7Rof72g>0GU3|98( zIu%SI7|u?DF&UT*K2Tt4fF^diRf}#Yg=mX1Q+>HWXmHv}X}90N1Yxxx+u4!r{ zA6zn;1%qki8w{=GZwVc|O*(t7=1QJh+>vEj4Pr%8PRaGX*D#M4L@ znd~9uVbd7v6+)(DOcNd#9$CoD5Udq}R&J!Y&;;IzLk0p@(C!F0ySKesK}zZ0 zFq%WQr7^A~s*BVJxDpLJ2T9agFfjjhgB?@~4#-HvO~Oq@2NLt`Na$SMHrT-x zNqwa6`1hpFy-wmgtG{D$5bXSQ6y51S1&t<>T=BKM?Lb6V@a80wy9>v;cS692+*t~M zgosuQfI6;hd_{A(264iBCjqg^9R@WTNcqc)5GTB<;K)^U@5FKkGhY1I_f8~rEY?)x z(1jQ`&HjJ=HQZd;=Iel3VW?rqmqWPLSzK9pZW6$NUSFq#(|aB29fnPDZ(cT0rNUq_ zpj$=D#v$PHAdAC0((Vtb?lT+LC^Jg4 zKGXMnvp%C|ktcl?hiHob zIAsVJ7Gi8XUm7)Vwpw9Nf3}!6*&FkXI^mxCq}KQ|xL$;P35o=P#$0uPE4@+5ZX%#={v(|dIy?sT7(crc+Qn-%}sV<(E2&;y*gFE4+R|7RhK+N+xz*K z(DR^4ng9~jAV$x@>1il3+o}``f_)GiD>tEzA&?<^^_r?_s&$5AeYl}yP1+TLYec%B z7kM+RJ;&~;LinUMO@Tz!C{|>1oX{~4+ozq%;So3l4`o~6Y$pjbB33@_HBtgOV zi!{ENj=M1>7Fkrc0Cy|{$e`O3`%-tS)4<>hgJcF37`)UY?067a z`>r`$W|T;yPvUrv9q0@^7a6H!)aF#(tn6Eo=-gzAmb9`+hCFc{pmkb+rSF!*iMW;!8ry-Da=*7ty;J2RPt<0AreaD z$PWhKO{Sy7PEDLoutq&!M5^B9Zj1BzR)FMHQv+&TsVZ=q5r8*$`$TSH_wnW1T zsGLKE5ROz=dO59f;NRQCE=@rWV@(Z1`e@lw6U~#6LWryT$T)O>RyTWp#6#^m?nyV_ zCvJQn@|A%OY(#58k#-0`H0y~^JpVq%A+&)rAD}A3)E(nSx1>|;sftBuEyeh z%pZ6!d;&reA=Y{;1TFMYU{PRbgE! zsV2D-uE@JEWg~Q)ODk&%sI?w39L~QVldg~>QJ>V4<~d~>Rj>ByCQ~~;NCr@d+8w)^ zm3jlFKd24+bYI3at)kzs*6sPmZ4JDQFU4VxXvWOPgd|P4RW>FMJZ6YyB5X|n9eU)@ zzWYgScV`-9RnG{9m*tL@s6!owLPqsiD(%b2Q~p(;oYa-~4Uv-~%Ukrme7f?lj#89u)nCkSeYS3BM+xX~8 zRu7gT^=%)2uhSJfhs!T^A&35?Pc+O?qw9fcgQPb@83CzDFp41t# zc3OgK&wrzYS&<>w++-}7vi&m$B~D9|iiKgS=u$@L>ViXoh(i=^Dp{-=;_Gs8hI&B6HPQdfV%JyV;8o3KgBq zelPmjy{`YVpQ*`#Z7N0ky69x8UYanett6;=4Ak z+BGLZKj=w3K`@3h$9;z>$t@5i$s%Q^J5MHE<4*Q}#+V^2+ptyAQ@r<5n zg5_wKCV+>_Y#b~rZsW)|)}=>%=>cD6@oevBntiMEVBP`oTf5x%VLF`X^5VWcm?N)i z1;MmJg`I@mQf|yLZ&6=&KGLHbT?@_1)+G+>SwgF2j?fZRzu>vnb^Uq$lD8EW`3dY7 zq_AjMx#p{95(?<77Hy>PR&`&#T8!#)vA&`{o+5t=jxZK2u`lZYD#&`fcjHazx zL*n0$|XG(Pj3lmK*TVfr5mURj94|Y;C=pOXk?z!Bv@Y;3iV0 zXB$z!Sdp$EK;$TnExm567W0Yex{IRymr`GCQP4Sj&4^<}{nF(o60+$ap+jPHbQJ0> zYSNh4B_GuzjxW~xj@IlO+eLg`rUNT3PnX#*QnYm-9VA2gtFSuKPZGIoPdGvONl^Un?8l*I+|nKO?*4tDeO*%_SyURl)=4@{X|H?w?Pv3S)wJ&enqp15ZlEN_#!+=J!d2@F zoMW2{Uq?^UJNKR!NO}*UXCFvOl--meGdtE!`lO+wle!4nD<~S9s(AWV$u|?X3vlmk z8Y`SFo~CQ75H>vajwy{>>TAT6CiY5r$+rWCldLWdoOwp&}r!)ZtujuD_?izl@o$XokUaVsfpCkf&&SLQAUmMOTX8T?-> zntdLRqmv;fT7pw3^8pZ8MaqV6KvL?v-X7Ay)XP{sJbkyu0I4_oG%J|?gcVv2hUAVF z8ubNtXdTa=uhG0vmz&%Kj#YK70E)qP7eT^FN1(CD=8gz<*3vpYX`W~rUN`{$jhLX< zxcHNC^?dJnv)IIek(+jfvg317+<%h9TDCYKl87$N9V3#B2cA}Y zIi|+y%x9wY)JINxzybx4ez~_#zC6WoumonWE~?bu_bDlogmfT zH8@<|Yg$BK69rnOR@Gnpoj-EvpSg2eqR})%Nqn$kN0d_CnVf|3|3|;@>Xn>D(SXZf zQ`U!{fyhl25+r+)K%3O$tNzFAXyV_#s%X3XTUJq6Kwv$HO`7?-E7!Ex;V28fr8MAE zwr^oSN|hd9%~vLG}X4-3xh5y!R(_BPB;AJlAqXcV8(_M8fzd9NtmH7Yp5xx zX75ziTS$9|t3FhoshpfOB(Kox$AF_Iq6`l-$+u_p(#LL63NG!i271qprgYCP|6)iiQ?mgIG{mM0( z?s%-(SK{S*4EcBh#s-4kn6x3Vc~x};=UIJ1Av|HOh8$ei?FGh(zw8r|?bZ&*ls(k7;6%?Wl|4Xp)`O+i0@h;}|W^bK1Ji_FTQxvb(Cyv6=4X_uwayCMVelc(>+xuZq9*o;3LC+D;4@8fF}^h(F$Az%T{Z zV=)NE?Ild~(&LBlL5sj%WsIDUWP8#zviEKkM`Kvg0z&_*B9ler9V^2+5wVf&_Sn&c zw6w;1u)sQuWALI=_pdZjI%d&to>L>D%~=RKBI<#kJr41Cqy7u|Da#77jEJ$jjiHW2|cr)d|rjM=_5y2Z;B$>EH$-S*pMwC1HW2 zlSx9NW+NRK)fa?_g^)obAdMq$0T-pyVB}Mo^css3AT_5YTCZIuutM~Am*D{p0tkx$Ek#G7Q2>Z1lDlw$XyV|6c9s~=VE%@a zxjrGS;z5i)fxY-ZhL2jzkTbXd)#RgMCJMVWoOAULLBKro$!%jW3a^luUh8m9*R{vG z()f))=ia}YrzCQ*C;a#mVs!>2*@NcEbEiG7pMkIVZuWwR`2%lokGR!JzBklG2*uYe zBn*Wk1!`wRjG207BFl|#H578gE`3@HE+tHa;#FhW!dpBN92=Rb zkrp#=J{Ojgd^$TMBtj187=PpEcp9!#YcUz+0KEl*Rt=>1^g_c9)1k!rUu~dzzE*dO z>&qxGziNgdeMB}sLi3ktXNYjgN5f65WOlT+t9`!A$(fuXr^7j83!o)zyR;^md}p#% z=OU+v^!||DMb5;AHUtn6Txqry)GJk!bXhYpH@EYgOc*0`AY9Xj$7Ebwja#A3WX?4E z5oHgtnr!Xm361^GYk(dg4$n6T+zk$2*eet4TcEn~nXHW5L6 z{iqIRQ{^c_Fr+w9K}ZaLY>^v9xY~%GOW=l42U^WYBvWP4)oKI&ASzJubDBX#qXt`L zJ4I|!5lW-nhSH@o+Me?PwA)k~EbkuS@^$E2hcy?|zSTw(i%r{(q@Rde0`~~hS`hej(|gyA9?f_r z*^9}u9Ta7+fWU6ySd4l)SBP2#e76d-XuK`;pBa-%3cvb(kZA(zfj7Fr`K5sb(E z#D?WZ1&cZJ!GviaK>4zCe0cMgFLWy$-5wuAR;?w1*Ne3K6)fivTO-o!H#{1*t) z@(Ib|pC{?9;!`vK6Zi9_`#^#;^#EGh4cTwoY-1(1^vAp(JID~TJ;y9V z-o2q6u7b%FP!LLU^1$ca{5pR_y9FPzj3u&zREdyvC2dmT76IH4h8}m41f&wNUeC4{ zeISYARSTF^;Rb%OSJ7iK*EI1wCuL44+wfztJPyw;xb8x=aw3K$i|iyFmJuCbC$06z@}&s zpZ26S-6Lmbd;PxDA^Wu49^dMm)*E(UfI;!Bu^q&f_xbSo*_x-gu*ZFMN@Zt=8wS6{ za;Ujf0)Bu8o}K0*K;6nLkGS{QxX^+ z2>oQPXeT~0k_IRQ!R?{rz!44+vGvCKVPAooc%j`IOWHepq2;J|F&1REIC`dA{N(0* z3vJJ5xJ8XA==4->_X>~M>$-=b=g}%OcsmC@m8&5pwt+TvYXh8!Gdq*pp=TJMKXSvw z-+uItx7l+)a+lBzVHk1jxFNP+WDj2Hg4+P^{LwEy7T0_C8qmNA-Ec{1aD^9`g&>(= z3BZd#>ER?MxYfP~l$JT2srSF@va`J7N7rx?5#XMKD>Mn;@dIZ`^9l;WWgcU1#FYpc z#QG)-MCg0LlH!~e@fb&=LqDpE%M#lWGyvaDB5z6Izk6|8KhT;|ZMQeK_ujPqXUjeH zcn$@c4jWmOmf4&6dcycgqEWXbCaQ5abUds{EL_ffoxPskt<{BnfISAiSj(YOiV%*H(gg)${n%5&>3)I>aAXugt zI37^mnBwUD?Dyof{WEk3_7HCek7H~RH|ie-fX8CNI~=@=*~56^%N+OQ*ZXX(NGMzJ zxukZk?kP7_&S7N)+%I%|*l4p%J@I4?ZdaU0vCw*xM=wc)N1vpK(J8p6blbb#6ETqK z@s7o(o(&?3$o?G%iNjQbnFn}@i9-UC9GFi1 zpnKp?_m+H|!xNl)gDJB8TG7?V{phPriyx^&3^z9Sh)$lLJ-HTObSD=ua_bH$>{{4E zZ0IG|^M&@@IeM7rbAf#H&3A9Mrx$y%kW1#S(ZfWSSP{zH!q2#Txp%z8h6OH5uygO| zWZI(FzT2)dY0@j_hSsv0u0$A&Y!tlQBm`up(ENp8c=c+N z0X=!$B6cWD3u(>8P0~ecbkv@}KZh+2}A#w?d0=%L*mWSQ`8P-f7EDARys3PVsv$8A!e2g4;l0nd4U#PQlqt4p; zn+h4}`5IPsU*!d3>ODg-;@BV)iqmWhnxUl-Q_Q3;-tFFlZ+~P8j$lqx9=+_)qp`3=+uNHp4~XN7qbo`lC0^xSRE5@M?u?B(zlCsgqYEXM z)FccsW@WgnR1HDOeEn&cZSG9Zn+;o97v)lw4c2H|m!rQIn$b63!?2IEr@J{9H|Q)Y z2q%b^O^W#T@!e}U%_dchr4^=cbIeUOzRg&>);9vkQ^_SncQgAKHst? zp^kZK!dkO=-z7$8TM~^0B^lia1CsOQeb%mJ)+O=8N;!-cV~W3fD~y>I1W6#&iy}!R zt@y*#??L!FvvjOu(~SGie(u$)ev1%%T8@*&CJkfQtQBmDSZy=fG>65)s7_kVWm9T9 zIMHlq!owPagCfOl5|9G1W#IfzMqdZ>)R?{L)15(&n=Bpo{O4%;juQY_mo2!=!Fq;h zZL^1r2=x(@))jCKhHcu~RgJ{{ToA-fYr^(`9ued?2B0=G>>#q}nPDTf&ZO6oq6J-R zNzaLWgieWKn1so`pWY%!`!lI7$AM^Kt!PfK6lr1NhR;`jfr}>e<0y)W+N|yLO$m|O zsH|p-mSW<7O;v{Ta>HSvrzBnC4`G@-xXn%&l&aqi-OI9UG>O;L>!u_&Q~O(i@7m## zsZ1O8pnfYvlN7Bpz&$fu}gFlmxTE^_I&i`)V^#sK4@UC5dC_TIIaHCXhBml z9tVIfT7(fNZZA~bkfcY~4SiCQO}-!iW$rADyO~S>SEz3Xr+&@Mz^dm3v{rfu-?glE zsfujHeF4v8jpAtKsspGawCGkf+*>%Y0w8zbV@?eDX5IN8eCgFI+@SW*Tvn}M?!`_2pIx>mw7m14CJZ2n_vwW#*7oooTj8!pOzQzy zV`k=A5NY2n)r>M@TK|7ry!+Q%{E;R#ESPAyc=~Q}UA*%F#eYy)zy8HnuZ~$>wN_Q{ zXsvmafIxx_v}F+A#_AfiHJc+=oc_^PWs4_;dSe!9z2`4%;cvb!j{7_Q4P3FdqZRcv z?BAQa!D9Y_P2Erg;^)A@V~q_4kUPOWHuacxg22A_j4~y)m9{ekxWpE#8bt|hPKYzA z1jrD{y=!ok5Qrs>4*Vd8qZ%n1_JM*(1NS|K54s09e?o;h!Tk`i)nrU!CFQ`cQ#e9I zElM85_l}{XV(fWGO6OIe9GeqiWl^T1fpR~b?H@E&OH(Dykb&+3() z;>?np=tc?=Mgh?O!F^&74WKxijbKXyVjXdZ)agRot+W-@AOu=3no3{HC=<><9F2C) zjOS}+Z20FpTnlz#fXG;lI+!$)uS@U|QNr~o$9>Q@5^U9S#xZB+0}0`DpST=;)C!|} z+xYkwU%e{fVNk#tkr5QP@JmDZ1$jo>CgO>haAdTyLLJ%Fn5fG4y@Er}8sKe!s(}rg zYRBLDJuQ1W*EwC$UWGqqm-P;zO`mRyk=p-28nr1%;OjC&y~$u--4yK+*w)87OIzHT z)Y~;6KaY?)T5I|S5klUuq*qBmlxK5YNL-|0np^5bHD(l$Er|hueWwv!ZP`#Oud0Lj zWs{gfvsj3yT5(SNlds0=QmQ)BOp9&meIhB9QrY zvwLH$Ny@1Tcq7pElU~fts(&=l>+=FQ=SXeL3lXskG;nyi!DY8kbAp3548T(wPa9nx z$k-7HBb76{q`6pULe7S=DsRfw|_+gdr>YCo;BWepK^1O4p(ir2r?zD zZoZ|sMc2$LbX^%PXb&ULtCpn1!u-c(C6JEN4;w&&fw)Nxfv$aqDjb~~4z=?6_7NA& z5~DPTa6yB$xs)UI4b;`B2N!XuXqe6i$ZLK^P4lM6^_q3ZwaGWbY-PU)supcw1>;KJkt%jd zX{Q@HmeX95k}`Dnd`(2Xw!qi1uNY?$9nNWoqV=Gws5?LsHqpBe9^AwD18L$%_fcD! zx7w3aZ_Q&@vp?U)*urU8hCLQb#I|iOCY+M7lP`x;KWxCrmL2X$D@qIN#*Dksu{TBr z+JGnDSxx3Q7rDuFct4$WQL#70k(+-~nc0dqtL1Tj97`FJ^kaQC=D}J2VEG*!e~MxF zrk%xRntk3_Rr|b6M!QjJj;y@f9PQVJb=B3lnbRY$JNMu8qQMhpXm%cNlkqzAoqkQc z$Yj>zb=8shLE|xFIPKOfs!f-(a~Nz(*hQGc#p^mHi8^O++i*J%#tI$CbhH|#C5lR-HwMvtiuda=$kcFfUT@U}q+ zW4uiT5Ay?y-m^X&siVM;vDunv#*L}gYXtRprrmC=(^6Ol|C)QdZ=`-sb02br`bk7x zNjm_~1xh3Dxx>FUNN3yWtQ!OXWGt)JyriuuEe!%U8bCKTsZ@t~rH7gD%!c!*YPD5E z6|m}LzzY1dUo6ITLyyhkA|tap3f?LJ_eiP1qRU;%LZK`sC`8UzY0$AV_#m=by^O~F zARW+;=a0=tfVHOe?zv>+`5ogQ=k$HX2iG(#aJ7)bVy}7ntlni6Ld>&@xFjE0Xz2#fOgJJgh!$(A zsSXpw+xM24##0<5$@kZku zm1Jn2oNJHqS!0+q08pbIr$$e+y0SE$8l`PyNHuS1;mEO$>6%6YC#RVye*jc#6&VrE zaemJto-gPZ3LNNvG&nvqTh)-Bo=8 z!@8yyS^%;D6bi?&tae>t;R7V(`TNv1vfiLGXc)n`O7SmRMAlE=V7rwrz@g>eW zWwweV%|l?9OMW;l156C}Mv8+YRgBY5gYJq_Vk1ltj!9@(L)koKw9!=73Sd3ZFfTMP z5eVfi93>dppLVLPGt7_a_wCa+R@sz;ez!>?ge7fx2SH%Usi4^SdBHOLWG25dV+xR~p)Si#^`j!m+Bvc9P=C^(G12kg_{--A%sjSuCP< zUeQWkUFQm{D&Hyjcu*IrKS^5;urVvH6NjWnWw?5$A;qC^2Rk>bJwrArd4i8mSG0dr zVs)C;>Y89gwJcL!i&S&W>I`A3QnRbORo7g-lf#k|$#)$VOyDb~IdF-JTkU~S3G6yQ+c^VyX2(>RNse{r=sENHrX*~}4|X&<4D*yR?J?|{?Zz(}tm-l)nOB7WV~ zj>pn5y@L47VqlI#4HANJ<3LMazAX6P!39Ka7YA5bu}uZ3Xf#m1 zZXRglDK@g`j#OI`<=X;BZI>GHiF@A+7`APIC;x`Bw9tNNu$5W)W>$)8`7VsNA2^c8 zG)rGfo~1`Pa*TzaVTgRC=qiOH^m$dekiF(w-w?tJCVU?)`);Y zyl01o!CGlNk-Br}>SLLuhiOr8iinH|anW*8*X!yr-9y{@Isi=5!|-5Mr@(R}SY=Zq zP(d5o359S)qjfZ*X0GY{$WpxVZTHv9n zH^SAL<|Yh1yEZ+LDm-g!hjQ7*FMUDVRtT~tyQpYLevZ9@SShlVJ8rOE_c3X3UufB~ zGf!W@20v)`^2(XLiaGSPym4o55)NE#u}7yjFDEAQO=~6W-a0P{h|-jc-AIG^E7!m0 z$k{?NT(aSKJs;8hmE{WWVIO&hExlNOZqO2CADX_A)k+M20KK&8HtLAzKnMn1m8YlA zHn<`tl?DK}v~eD2eJB`B#ymZJw|@FA-}#VSZ$5qRfpen4Xo`^z_;{?JJ}VFqeE1;< zQCMhbLbW(0eELRt0gBo9gK?m#tKd($yZqocFa!B7Bg&(zXr45W>5jBiSAQ`D1kJ`= z*mR{LW=Z`xLC@C-0hhz>}Wt`NStL<;?tUqcTu{{A&?+yKaW?(f!n+^TIx zb7F6_8PH(azk2~6gdUO*SUTpMOS37o*ela9P8kAKa%2+=wr)C3PV8HVTGs{!JCvVO zoKfqbIUERQOu*5&3t)gTl=8fA3Cu&{I{UNO1}!2b07w8qv16r7+>9a8iwQbtCx8yN zS{L|r^}(#ZQc(5Pb-ie;QTnf%fz{H=x&<^NHP|svZ?pmYx&-j4MfhAs+JeJo8(Pe9(bn^m$PBxKtN(#g}{)VOOwcb5AbxaXJH#j2}rAs z4-Y5NjCk(awpqYAEr?_m3ynqQwrkrRO$tC&>efRf_t&5D2~W)yk`BxJ149Fky69t!O&7Jo|(4Uk&j%5#4a!424Qp@Py@fOGg+(JJaDg&9a>7Y$!X7 zYJW12uFLjCvAh~fyS?0#k=(I^k?Jp-)AA#oZQ1=|>I}7Jur>W<)0@voSMF6; zRG$|HruL*j`(1O%NRt_Z5jM{@Zz^2KuJ@BA$Z=;K9KT;~uio5fVNGNlAf#T^*=FdU z*_iUfx1|2sauPM4ijsY6C@iMZbCZyD<*Sxm6g=w%$|Sx#m_&; zlz^`r2v>s8>}=Wo0K>A2S*Gmzm@ota$q7fq)}oC7BS>3&k!Tg&S*^(kv8lvLISdw! z94loSD_dnXN&2adrXe9!4VQ~{ovWhH5=bNttx0hRXVde+5kscMMK2a7s3@Kk7u+h2 z{R8bu0UW|=C>()qZZ-n3vCY%8l>i-sgDw{o-D*;#NG2`H5sZdrqnmo-R)Ie(5Lhvvql?*6Rq-uv_{2W2s;F*FHWD%-l_%eiNxva;pss#YsN zo9Vye<+8320K)ym@#z11Qj!b=1i#RxmD6;%k@Tx(a!d44_1yHCF`*V^uGFDW@)GP$9)Y5z6s+GASeXpxw za(I=%H+CIvcXkIMG9}b z-Xr!3+tt!ArsWex^!>;{8+tA&MDX@|gD5ZeW4>_oVbrg>n+qL?AL2Q}H0 zh!a>9X=Hh-4y5vL;EM`Jn~TMmGb2+;Ps%geIz0gxUpl^l%)|jBPpR*XmWf z&(oG0M^seCfYb^QA84l;tv7pOpgPIk3>oCm;MMenMPiMD^^^CBPy2kBSf6egE1}+X zDXvOjkW9G`G}LJw*mW5t$40ltVQIHg$mrZVk%NpLXQX^xj{8b3HPwY4a4WgXs||v_ zG?~umCY;f?coshHt8#bY$OFI|-O*=u?ikrqrw@bJ`V`RH=jve%d@ZxRG>?}b{N08( z+M_zBKll|Ka;oN$`tO{rA4yH*&6o1K#At;4I0Hb;7`~Rw(h~>%L~KtWhMq`p&Ubvx z>U|RU_m1Nr&%aLVohX{R^=Bwq5>TYtnly}t?-Ce%)ElUIicG#5KrmP#WYDpy_|lj$ ziAc$36Pvt6@S)Wum4*QrHv80?`@_z>GsP`Dv?@~3O|}fAakGav{%iBlohgNc{*J5- zNiLXRYI92gy4$1W8n9 z^=PVnfde12*qpc#5{`0nfXBp!nxW`g#6lR_KoW%3ao?>?IQN+)t&H4AKrciU1mWw$ zSiEW^beCFfx;$4TmgN_KJ8maE61+=cSA{oaRbi9vi*0C(?oEV$H4D98S?edzVSln4LLnm-@Z<5>*Fc#V# z%Jqfh6i7NcalncB+&tq5*o-`3J*3!bBm^nA)~Q2I9ge9Ptj)?(-0nVJ4#G&NQ%9US zn$wO1D7=xRJsUA6jVC*^$ zCz9SD)4yYt{m(z4uo4IYc_X!F#O(GFu8l)Q-3jAipE}@)qG0{>+SSeHO%g^H$Jk5X zwSvLtole+@2R4G){Bm{OJc;R|wMN=050J$4WSq<}q!0S^GW=Y7Opm6DEkPaV2a`WZ z>I_M*mIXa`CAqsyE>nFcL3xLU_9d(ir=?vOhi)XyNtaA(IM9{8cD*63Kx48hxF%hG z#U0*f2_{+mAq&SQnhtD^B-5qM|{cTvjPJ94aac_q3v3pH|i=(mNG>bYw4#2WRtAgb3~58%W3twAwXG+3sesBS5zeE%MA{jP>*5u zws}RfqG>OHbF(-i!WyxZw8gdI+gsSJBh(6szOYp&(+YO#r2qK7Jx2P$jSMjLv)!Jp zZ|4~`WCK8x_m>q8l0XX6uf#W!MEKe#vVxGsL&}g>XC~x*7$Iua1))#~(Gr%eyBrtq z&r~bqYPo&292)2ERV^GnZ1W3D$VolLIV5QhZ#F467i|ZjyJSsMZR;whZ3HxEFQT2G zt(&dI*Ji>C&?X>l!v^I{`nL2Y%#CpVdxx9gk<}aZofI%KnTGa$%lA{fL?^f{dsiyV zX3(?gS)MoMWIH?@Sis!+l2j&qE3qs+WMxwt&9Po7*3_Dvl)Lw;x@E$+!loGsa) zq%rmYhe2x#^50t3)^WWi5kDc21!HV$v3k4R3(w>99`BVLP0J8o+TrjE?pM zBqG=wt>_)7NSyRp<~X8-$m)Butc?HrOQd&cPa)B@SmxAMfUI3%0xN(%0Y*UwP#FWK zz@$F!A+H#>QX7!t=oSGa_;`7j;Yc>!$r&ncfW=d<8G=|zU=g-Vy(o+CHq7Rr4(0=# z;!1`?!wCw`bybtW#D(-`Osx!&P3T8O3RKxv9d6<|_DU!#Sa3&86!L<3?w3D@@tC6- zf2>!MFo#p2f0FEOp*Xd z#J|AUhFOv*79Z>QB=5_TYrl;p4TvG^6o3A!n?L{6oFk}I4`m8V{t{-kC8iq*FC7$# zbYM#G+VH5?1K0xW*#@E)t6IQNVJJ4(H%u9#E~Al2%NJ%EEb3@3n6If8St5mihRKTN+5w`tg3D13Z-)o9u2#)XA%Ka#Qyutg zsx6qKy?fI@mXMo2#Obc_d(NGGlRM|#xO1#Dqoo**EI?J-rNm1{f;o?KiLQd9Fm&CT z6z1j;21u#}^x%45UPu@bW<1S|`+m&$Z((LWo|v77YMml5Qms;RFJUW9QnQCQ#Txx6SfG{9(+l5icNZO^5Xnx?2ZE7LGK%>x`idyx(H25C5(X*0kx; z%ztjjZ>%5F^}cFos;dLdYqkKcw&p5rYjuGK9^PA<@?t*LYICuwR?)CBPfy=C)yhbB zmm|%`;z-%GTD8fA=T9_T%6G@wb2cdq4i~fAZ@;{`OD)-j6>sfAVWT`FlV4 zHEZ9|T18bp&?1%_{k0k!!7Dj(gCVkFh#qK>TUb0b0JTss^K341rvclwyd%}Mqoui^ zEgjR&(3gW$3D%dy(?CDOdf8>IsR~$=t`!bs@#^XKU@Y6#-FBcRlt!OxsjBd#@klFIXr*F_iwT@5U$j!$pFV)3h3|OmCv^r8s3--*J_0wIUYF9ZdwvBrz3+@X2UfFi~}DHjIZvVC`XA zb+&%=8$bHZAN>=P{`~%r{?U*A;g5d9{LyDW`mgEBXC#|9`=`&$BBQ~v&kVWUhYgXr z`O4F0tpczMJ;E^jm%sj>|BHX{o&WWpf77~9ChF3RMj?OQC}V2MQ* zzx-!^_b-3@_y6j@`7h1C{G;FetN-GU|MDOIQ}eHW<@IUG|kp7{O8CJhEW9@9Y}>2UnN>DI<{14a-9c(V0A8XLZl zz|+Ru)-6mOJsR#?Kj|Zd;+0Bt>6o=BKb^}hFo&*Nic&kLD7-qrG|Ph9wRzA=>og1&1hQG z=_Bm{YWMUVqB2>P^RHy(DbqIn;%zj4M&ba#Wp>nCZHw+aWwZ@*m=fBIR($CL;g9bP zO6!Mz_P_kcKm4N~{@D+|P5-|8!$1DvpZxHD_~D=a@K3BuS7&BL#a1Wd((Pzn0$7Z= z(n<6JS|FOPeMk|>tV!z?!dS0KSw@sIYkbpY$CSJ3&;Ju+^#y&%DFUaQa87N}1g*=^ zqK{bl#fZRN?r@m{&pU+Q(jaG8brq4%B$9|l%I2ql9y9MOwOwl}{<~8VrT-?C@ZG7n zw|J3*j-JR?(f+Yfle~qhcdFuj-Ltlq%C=j5B+=(7(|z4da^NnbRDE$; z(;9Txu?AdO(GMCR7lj`oAS=RN&~G=ncRoT0N%lx>3TL z3sz)C1T&<>V&AB|;) z!Z7{y-cq&#z=m?T(3V|~{7Bc9tK>QI%k%MTQCmre?_8oWK}nB?!lr~hBFG$~4T%8p z?Kr@2eM`=eSpj2KLiMz`_Q^{{P8yIorv|eni^aqoXOTPVbHmOS#ah0{?FwjQs(1u` z!;jbi>vqOt-XZKCGwh(VsLdi&)yIc}f`eI3`$kOzlp$@@x3bS)o!ePQZh3He{K*a7 zXPi~j32$%sF48H$9w|o zMngIuju9ggJv*aI?4N)Sv4^CQ;lm|?RBV!hbGTNoYJI}&S{%tqr*dH*LEA_L*Xu$7 zrG!@EZGX(|N+>E$iqo+hOa@Y!WK8J84`hwdS5*zL%^koT;Do63b&PF!_Lw|CICorM zRvmne*3{(dL(eNGj3psrbKk0wV=)lDP8GqCWCZ^gtUB>5^@Su7Cz3eE(d_NS&PX|7 zRQ!?#1)RPSnnqA6dg##V4D-biMTg{0NJy|9sbHJ|i8;44&K zwcVeSpbHyPsyXQnM=J$r20UK)3()ti6=J@d_ze^LoTiz4CymoQuG>K&$AWq2%&u#) zqf*p$WtJ8h4yZkvydEt-5pktmT2^p!qs4RIVZ%m>1ZiUGtGVesgD!3*IDi-8z#V9d zl5&3VA`tpTS8poPHIUYU^%kvWF;$f29ipTjpMDqkC|!=zPa;O#Q5s=ws=i22`KEpP z?)s2tAO&2-7;bJ6HNM0re5l}x2=_xoN2G<`@+5^7fjh0*bNttXIvzm+RG6nILV`WAP-SECdW`=@^lZT`tFsVIMYA!Nzsd z(eNGM^{Mjbj2f&!IbVkJHR(I0y1;pM6j{Q7bOaOj2(XnT@m?&!7$vQf6y6j^4jhPw zBYhGzxX512>MJyw=w&aySeCq(_kh$7m)+db(r2xQH0z@=)Txb0vcS@O9L5!rP+TJ`s7RuI`NM@Y76 zQ;R|0Ks%b$KB0zC-Unk&{8onWYBzk5iS0$(EV^wZ6HmxQ zkr8{ikUOf&isY}c!-m0hH3Dw%IFDe%#9ek>0<68OK~^AYUXQnVd-lHYnoI~XPGH0V z*5QVFr(DBnyDo8{NlQq^VSzBvCNp%1QRnqksHP$HaR^7?Ei~b(YhRkA0}0QbFyd2v zB1o7GfK6M3`I!%u`Erh`Bn8?#QKofw&*7O$y z(S!_mOR(N^__$^^_vS;4dv-tP!7<>Z99x^J!+q&PT9GWYxmw3oIO*lk%p0`15OSui zY!f8}wG>zTQd=dHn3?lE&0h-sWp*amF$0mD_Jxhj2dVFfme4G?>v_tG?1d^nwz zBuk12RO)Vc&nHdQAI6eBO-7^Gag=@Ih^kU6?z1!4x zkksiv*E76@3ppe+z%v-W)%!vMuABsIpa+Pc4Rm)J{zkZn((N)*Jjpgzugg$XC^hX) zmew240wMfbl9`ExgEB1!v6yNP4yUIr@{2dF5&AG}<86XLi(bF%+KzR?@M_tOxPUE! zHj|TM4Yt%8{3CVz?`*B3gt#+91J7F1Y75vVxpbBD25m8jt$mZz!lv5w{%twE56IX&zo z2`R&M*ov_NbO`j30c?SG_-x}xOIodPI|9a-p1Py+rP>XzW-EObQu5 z8iqmxd(g(Y#lE;oxAc;|K52hE0NZK_vk=DSSIsaPK0@=CNnmj`Fa?4hGR7eqWELf>Mh1cVEk zNb477G)+%@#mu7Rl9UZ9won;rH77+~XS4xHkl4~UFx477w52*xPea!U@EHlM zsh$s&9wvgwU&DRqsPf{92`ZKH`cgi(?==+<>lUa0RzRu0079-&s}*%L++3zE@>~U> z!)@(f)1fsxv_a=YgMM@#T<{Z2Ds-D47f~*Zmc+sih{r?ppGE6B6JEZGYcLQ3mS zEBN0Kii9K!X2tF)p>2DnVh-jSkH^~}Rd=vW_!uyqY%A9P?O#~~#eohxg_D5Nt#cxg zsrFEv#kUXfU*uzaYz3~a+^(DUnNM3YaL*2)aXfN;xVy7-_$x1X4zZiU*gOdi_a_*I zv{eV%en-akI(>0LFRC&HD3hE$ z?z()V_W5!;`Zwk^X&fm)6cF$l+BYDY9+w%tVG43?&X~ZfI<#WQv>q(iYQ#c-t%=n~ zY+FzX`_&){huKWJ;a8~8;L?h>`yx2Ru%BQqEU(Cl0;2h8FJVJrDpZJPGWJy4%qC)2^awkJZcWeMSSJPy5 zNzsn`(fIA=+GO^_Z47#}0o4QVV2f z&?TH&g~q={!<1bo%(7!BPtx~4?b336v2u*-wOa3C0aul@jw03`OyUb#u(D$gFYHrA z(&~Bj;6CU{|>bx6^xGOFEo)qXnXy8A#J> zdC9ny;}%o@_7~q-pVO}14o+`LR|^bxVIms>UJyVD-hf6Hkopz?#lY{4FMZbE64Ktf zL(Qg_(7@oHLi(H7t093;Nupj$^H?1VNo|u08W(!26_e5?#;q#n1UAt3?9t&H+8@+4 znnk@8HmNL#i-p+gqfUsNF2bVg=$QP#23jBO%Xvjg9;)3x8`Msl3vdxtyvGx=S#$Id z5uB}M{~zw&PDWM+sF3KXusd%N$=iudCRn1L8Dff>V<8IhT>GcqG@ zJa(Sk5)!^w!Y@i-plz9nT~uRJ6eSzAjoQX^OPsoh#}rvKlOEhZfPaDS_kC-{D|7F2 zs=G(Dy6)MTxz@MdYkkk(H>7>#Upy2}ObGk%P39PHPnTN(49(zO@A4P|%lBrIC?`v! z%D(StmpADiD*GmQVe(C-y61VBs_gdt&;)-OX*@h=c_MHK9`SFx?`t&}C(|J|MX>`l zLN^B21`l2e#ZK#;fo(N@Qo9{+mOHJLwirYnIaw8J&IXtrI1lW4k{YSDNK98KM5Lv4 zy)TX>z1sprV?U@zk)G{`{iCC!o(fEw;|w%CJqsMT z`3B9qdmhB^t`J&RWGf$tk- z=2yx5hPnj?AF%%Ddn6j`bcapR?pZO+=~?ndU1(#T*~tSLWT)RE5pE0Dz`iXU6RJiu z@KNm=1fWniVZ{}BK$9X-Q-h?IR1G<&!|veY`L7j@Y4j{$Vbh@pd~KlQEtWnCPk zUX-p_F_wjV<7ELrT9Bd8TgCW3O$9UKx!3Q+>|N- z>Xak}sM@l~DmFc`X~3T^OYsZtbs|X9_iz8^AP4e4xkGn^_$2Tj?2~}k@VBWS{NL2o zpjgD6Y!0v@VI$_y?i&SrqprkV=L{>mR?Vq+W-T>L3tq}fZ68uTwAG&Luc#Y<|6=@& zOW8WC+@$*#s~mx+ApRkXS7FGQMG(4RbMIKA3d5bp>TmjkHbhF}T_v%G+&Qv6K5*D% z1u2ARdl405ghF-|pxcO(HBuSc01?4|LrUwHP3xCkQGUC%3VmYh>pE;3t~( z*;*4oA)NWJzjQ1rJ{6|}d|)D|mHiknJQ3R~X(DNbSAGipZUe_Fnq^1C6UBFIbM2xDW0qox-H`_p* z!GnTs`)tYZ!8<_ZPYu%fIF%#~K+dF~jymHDiFpyr4%hfVSc5bE}!LM;A?L5x8t zWgR#}0TWk+=@aGDag&3ui1CV{Umm|_K3q&Z_Pj~0cCUJ*awqm>4UM5Jou_96B}0%* zLJcxRkFo3m)*8V8f`d=1mnOi#WaL(@ut^-^DT9nnEp*Bln>c{04slEun8a}3=2aoY zd|ogtNQBK2B}ktL4P8}Vv6G=JLo!v2G?5KTmzHZajF1FqWtq0btS2u5b&!aKsfEjj z+Ph$PhMYUq#f3lxBQ`2g_tQl7r`bi^Etv^s=RyxNk%j`~1mhYO0O}?Tlm>~R@`iL{ zL7BZ2>sETDw=LWjKngB7w9m{sf!Ra3NP7~+au_l`uNfa#?*9N$6|?mTlL^=;?9V90 zf|7U%(>BisBqH2lXcwA&FgNf(idJEw=l_ZG&hVUtyp_PT0S`LE{5Q;=ArObe9%xFq zp%B(HKb2Dz@@)bblA?LOp4gpn*yIsgqEY~Y(Om)<6rEr9nK6o*3tKEi`xx=7-5d*<-Ax)2FQR>#pv`U@RCY3EB&sdmr z_DCnsm;`iNrx9_CM@~rlxvewhGFq7zoBC@`s?3(uJ+a6(@dc0{6kAnT4IcZ5Kh$I% z&c#Vp-4(E}7J_hv%D!j{#wVHfLbT{{LN9RMZ?`}vKuqmGia+i9-JYY78O)A^fxtCH ztD?wTLyFr~#R;5)_2NBD2<&3S;yAzDHhTTP6j~@-SS+if9=9^YLgcCO!j}8N% zQ-^Ki4@6@vC7My#^T~>OX+{_AuoNUhhGVsM)5FuMInPh4)J(i2m<`jPRJ;K9^dxgL z43aK8*Nbll8Dfw_U4Z0N1%qTQ*AvdoiRZ|U$8yHD@k(;wP;tRFAGRJ{D7b;g=7v%7 z0U2rn2Ji?ph^9su&1_M8dOCEqS%2NJI^#sMjKW&j$?Vc|5Fklg$xdL@sz2{9w%?&( zPof-N9Fxh-09!lsH@5tAtjR9lBw}`Eg1JF`Kq7huzTg`(F-b=jJAIfRk6yLdcZT~z zUrPzh$END-;hLPrIHvdh3$8IXw!A&KJWGhUbtV@x-=?}v-wM2e!g8Ar!z2FJmli{8 zQ)4E+vrUIFLIoSe`Z}NNfDrRD5SZRvLw}(*BqsEXFh1SU=_SkOdZ4g4V8bL44?{wX zblIPDd3g~`IvgZnG;~;dI&$@NtiF6iCnqEd!eBTdp_Pay!2E5RoJe9QvS8c;(+P5Q z)#Y2sjmZoJUN&A@oL+%fM(UY&hs%q%LFC2R>}{2^fq5;22SFkR59%sSWce6O?}9YZ z#Q2`{bd7rt>0~_;ILUm$>zC>pHz#<01B8z8H=Qg$?^r!QH?P6uAjdw5u#;Jh1m5E2 z(it{6I6`91zR*h`rEiY>&;m|jJZS;SLtW|44Kuy?T|e?h9>8a>2UAaO(#iW0$M75+ z7Hf8fCvDRr2#r^`wCTin+2r|v7Eo86y&ba-BZuC&-ZcByJCDWCX(j}qK*e+6Ke73*9~o% z;-167#JD-ufn9prH`l}6o~3tc$Q89mJjgw-hIFtX>MH++aau#zjKgX$F?Xm+GU^=R zU=up)f^Gir!Ta6+^*?W6G8h!`K(tR?9yYEo zaLA*Jh7^JOTjE^Xf@DL8pU>C9T0sSpl?QJ)no_lfPd~jeYeZmc^9`4XJnMUODsiCM z3&R=yGAe#f#E4&pzw|F6m?GV$06kf78i2-*LsCQgAt4sI?MQ&Gkno5)V?V^nqjRP+ zPxGQ^mp{X}llUZWkZ>dzhH+>WfH}&cOk0sC@el#YuBhNz25@C}MYq^P8a=|93aU5w zBohgDPDHMOv0f^)vPT*}A|ZCruF~EAki?I)bq%nHb3N&VHzmNnF3D`f!zBBIk;a>jHWB|IQ^khQB5_Zj4a-}c zKK%WP?h@o0_|@MjP2cx}!Riy}V6h8i5Y^ePCsr@lkozbRnvG)tSqKK(q5f?Aa1ctf z+4$)OJ>Vc{*falr!^?`);o%HTHkyBTqYb`MTzg@vL?13i0}H^qDUQ^4Um!adeU~&C z)5Qns4^o4%v2-{X{8tD#5V~+4O%IlpJtTa1DeG~R+*oMJGvswVYs^4i;Mt-t8&v|p z%$@C2+3nmHv)gY-QPbMJo0d-xcU&s>wQBxyn%rTU{OL5Y+un4Ge>IqtU)fbRReY*K z>scN;_3htTtf{%P7y&X%XYCy7>aYjCB;rQs@;%r3?inZe)#}t{h4>Vjm=C{yG)*lx zl6G)=Wg~s%vyZW6*f0ty#^pvnVZXQ|2WRqs}+4HkIr>b z5mQ@k)#UJxm&j{%aqZRBmh()RT{~Nv(HC#J4=46^Z@9ADX-~B);k444X7!Y>uM-o! zJDrvAm078YC$=wj{!%hT)8t<9r`-%+nVS|q*g0~J(#FNTJlfjzft?)F*XYnZ@zxkO z(CA(uSeVq4`1MVpm}jZmvc3Bdjy|%}z5Jqf-+uk8zr7}AgP!~H{@J-xmG&`>nZ{c( z%2o62AE-)uF^pXgOl_P3cYcVbTiCll+sj(iW}S1W%zS*I8DA#Os$5~_$$$ot2KiY{ zj`?iYzh0GEMP|+R!|&g{M76`P=e<(5r6pCz55HU32UQi%65PNvqRGj5gGTTb2_Ksc zG4uNDjeB$ClHR0nu9=quDhUa`udI>4pogza-l6I1C$N$HM=9@++&a-@$=)D>i?2S^ zN4hJY)#7~kW)@zr9$*#J`h~VU@n9pnG+uv}PZAC6XGp}r5=%RP&Q2qH=w0huYw!z8 z9NK3;wq2n9a+-Vky3HZ&inIdd#+tZoV$`1tTV%}EU=ezm<9oB(-35UUtfT!LIV~X2 z%xYd##c4Ekvw^7y7u0gQwN-O$nO%pwxO_J!Feo29-*H3G2tT>;QIbT@(Kg*GrUUf} zI5sSEz#W@2JjL`slEa)!Hb?Q>>`Gh1sCXJiLSu_L~=fbh*2tRE&$9i|D z?T5puC?s1tiN4VEKRW$(V~6mo@xBaW0Gu~vev^XIGDyF^!&!_PmD9!LwEbG=Q?ef# zz@?u^dPPpV`cM$%&Bo>%Km+L^=z?+eimGdMURx6V>7TFqVqI)_b3uV2!w@5aIPVi* zO&kvWf45<*8VWvnyx2%gHISfN`%9a1?7;5} zS>$2c|B@tJ-c?LPOek!m2G%AAIOym_p@1CQJ7osjK}1)`LT)q1HDvLDzsZ-Oq0A!{ z{dNs!#!eCA*U;2rwT3l1Bc&S9KS>}a`c!=J4IDbZjC@C+TDiZXExyvlNbCJn&(>;O zd@7_9WI93kr622Vt-lXE5S>+U7|D7>(iV#IK12E-=^sCyG7sfjQ^c!uO+9-BOf z56Y!juj#&w+#t3>2GZt6=($yE2rCR(3*>zry`r1Z%3G}@hJM(?m=H}o&L@zV_Xw|a zf&h~j(PV4#aPnoUWiybRbeZ+RE~Y7=Ehq$O@4WyBgLpC>78D_J%ksWIViW_KUyzpN zDsy=KImH{G{;%g^f$YO>Li8GL_8P14)Xg$U1Q;C9g!()O*B*8l*i27+x>*XNH=Yxf1C zXtd4_TH)>$BHG!Vc2UKc+bv1f#IrwRtR#sw9b=#XU0)}kL)Be>TGy)kq{?fCwZ2<@ z05!6A_H$otfS}sZuAuws^5JLy%Rg&6aSGYJKBIs9gLm(!1)Sa;?)|DQcc)3H$+^DZ z?m1i@$7hiqU!<~Jd2~DPdfEnfiU7XzuQ~Zk!xhjm$L zHzB&4V%^VbR;_L|(XIMi5#`3^?$oBL*YowhcK6rYl$F{kEy0UA(m^@Rr}+JLudAne zm8AMm*vwT%?8{DF*{RpAo7tSbFUC2WPWQaVFn1naPc^47o)m930bEl0;8O<$T(Dvw zin^UqSerihvw_TOSpWAs9Sb74V2FVJ%ZN_&VAw2#Xdo1nFqkO1i2jID)*2WkjQR$L zO*e)UZ0K3+tNay%V*0K)$pY9UiyV4UPk`NLH%xFFa5jcT+TnaleZ_vK?DmOd7fIx# z3G*Ztpzw&HfiMF0&|!|b}Ca!T!R#IV#h_B(Zx7=hi${jD=;IhLGslaN|^0&L)*zDp?gy`o@_%-sd0B3CX7&cQ#l=b z7{0dslN7Ni{<3Z`nJ544NggXF)*rkRq+R048g=0W9JAY{kQ~VJjg@j}UBVI_5;XA_ zz)a#iaBxFPIixP)m14x1l+j-Fkz>#p23L|)aQbs7+dKdsP0H{xyaj>?C^2XdxqWD; zBnR;4ROd(}-rlv2-+$AQn=c?}b>Q!Ku(HAb)EJpKRoK44wL>CrUR3*%X92=eVzYXO zVH7l(snad-iu6V)#7;&}RBlkYgt z|AuoY1M$paKm+^X|NX=NM(j_tO!PWxHJQkr8Hvnv+7OBa7=zI1Ajrn9&k{d0OnHB* z>a%^`*Tt!PKT*q|8XfgmVm#;x&*;>|3_|0IIpp=K#6M6a`L7>yzzbkk-Jx>y@ye-_ z0PMMiFKhHyr4h zBiK4!xhb)xXX1Ij^n+CxuMzbQz#MV>Fr(shoYfxX<5fgg)KEUkRzYM18vafy zF#VxIw92BPLbUP|M74$R8m+GOf!M98Sab>Sa-pe_tPtCXcy8j0N*cuwF0!l?(6c^N z0)(5-sk@Q-m{Exq6@2PfFjj~X#IdpJyRtb4Zr9$_i0Sa_8tKZT*}^RhSHbpFUlyf3 z>Ud&GXFTr2${ZnWA2*u@E>e>!2;qW14A%&V(~egz2b@dLlgc>@{j5g1O2c5R5ybGv z`Z=9KmYp4FPn>N9FCal?XorlJG$(n%Ia#)91I1^Hua3 zV2G+YLoqH%?-}rrUeOc*k7B^eh-3D3MmDZ0`Lko*TLvQ$feDDo3M92}kkDQVb!%bg z7(M+bncd5s2S4mACLzWZc+1ku+rlrZ~=JJVD~kq!x^ z>D%n-HfA6?#Ng4?OoEP?1z~JElqxvIA18HTggas?V%)ye2_3f&J|mg<{NX!l-;zLn z`7bU(M$L``>tFeeH?n-+N;iVt88|y&GMY5AN7mo!%-PqA9N=T51rlnJ{5}wA?3DaQ^ z`zFwX(Y^AqP9Dz8^H3p5X&=SYI@wK~P5pjICY-uyEGh9!LM7KZmkn!)C8Kax9C|uR z<5Ktt^+=~xyrGIL--!dlh6;4M#Eyt;xOYrdBcxD7e{N)Va)!5}j<@)JTUK3D5CyW8T;? zfq4=@nc+>VWkWUDld!A+2BlPzADYvd2U#Nbaccc@VpCcM`VqU(p#9;;YCtfg3#dN< z@1z~b0Kv!^5LF@_#G~(*@vo!%~LZ2uNM=K z?Mu)UPi7r|dYF&-(_+nRf-^42bUpn%1%4Ac@(h8S!pk9~Fn#({kqBqUcUFBy2;O zUo_7jepc1X^7In1`$9?Ygbnj{-PUh4H|zeq+_8QJW%sHXpY4#T()v&6)tfNuCadtJC=PnBi>ZpALY9?~bZoE;(}z}aE1qmX9ZND-1Ig_U zOHKc!oqjj(uK5hNLwaHDzA8y@-|QKrokZlP5C3CxIKt#9(|_!t$+Ql|mEHc~kT7jC zac1RgoqjleT(s*UG2X6ZXP%zUvZUQ0apO!9H3I@}fEP$DL3hK+o2yzUJvP@bnk=eX zlAFv&GmPrP->r)G;?mGPDdy3s?6JOn_$f)GYmTX49dc7!dv#>zKFJ%bt~Syz=Qusb zB7ZLO;#v67#nk!E_QTIBlDd#}8E#TKs0DE|_O*DX-HLP^+oC#^2ReZb6t_bg#Lmt8 zXq!~6=3g1eY_N{1bOH#Px|VLzU0))xAuUr03+A^!EuN885Oddj_&Kp!k|ee#!O2Ia zJ|Kg@?;aUNhlXbR!(sdMb8R1B9s=(9Y%kpz*QTVycmg*nt(ja^^QE09eV%O=Jt~?B zYT2H(XVJOox}D;Pl_7odkTSwW8x0uRT-|Ire`w7BLmnFSL<@ho+2aOTvtfi=3mJ^s zyA3Ay2X*g+dCOLu+qpA`t2ljy%ff;+9eNZvTwXTzJ ztiJ>aP#eE1nj&~9B4t2F_stBRk8P%6YzIqzDmrToc+_Wh{oJhU^~7|<2B6fn0pJ3x zR(S6;SBrN1iNgq~_-0}krGMc2u1aDl5d3(AzE}!YXI+wWctPL0 zS<_l-`%@x>MO&k5Y&=~9fm9d8_@Clfgf1Ns33|VUGpzx;DNqafV4r%Ufy=(^-~~qI zFN0xD%E!JLs44vKfB#RNB1uk?avBCu*%r+jHii_?X-Gbl#y{dQcR+KOGI`&Xsy}ja zB!&@zIV#DJ$LLwHKL`@|?n$b*0lV9BInU%q3VvkiiF<5o#M z6Bliv8f1_Z{I60-`cyab+)pXfW&{`vuLXQ7_^1n=OdtahCw4?6Y#4Asz+#~fVjj1P zoFQq;R+2W=Io*gX6W0K@{bZZ&vme}(I`r!rWkUee#8Q-4hc(p3&^bFm zIYJ`56W>-`lyPcO&d+oui4{&{OrBFZ18WI}L3l0+aP^U$`aGTf}!^K`2~qpNG-P1P24Kjj23`9~+o>VYsjso9p=+x@KS*&#X?rl{pH>%QkJVE4n zF;x$6vpXIO;0SChTI-v-h@DHgvd)b@4EqEK0Cv6j-0t2x1I_|Fc5zLQb`EOl>_xh! z(G|-yhqu+R^HB{Zu;aQm^@d8tPE*5t#*%UiRks%z5wFt}TtuFEX8Lv)L7hnwcrt%i< zR+v17cXr0q3A!euHOabiKA@1>fE%fk33U^H9#5*a#v1>c(oKe-nynl8!BqG}PZ>OML{ zge-zl69l8)#?=Nll!jPbJme1{Rapkf5;@;TII90hobE|-EXyz@z}B6R8-riHSXWEO z=-PyXQ6q%u@`g2Zq8mE17}j{@#kvC~h;ao?hUEG{KI$e=(^uE>}=hX@5PyR zaBn=*J8uuD^jp<3=xL?SgOhEp*&}+sx~4~SCT+N<{d^%PP8#rIjZpD~BrC;P?fMTt zb<`E{+VnC2QJYo}x}=(U>Y>n z*?d!;ivGEnksh+P>3kI3zGRR`I(}U%Zmy#G`@*IkAgzFD9r)%XHSDKtXEvl!jXf^N z<+E|9o@RJMuiCDsIX#xAPZ?(F7|wD!%2=8b+Xw`M;>}h2cr%%XA(*xjxY7zTeMvq% z`1rrIYM-z>=ouB9*5$&DFm?QM&24?;sJ?k{1&MmMydM(NPJ3pzPbl2#h8^zPKixT_ zXBv1B%YjYd;^;WPymeQ6e4*$?7aZ;$2CM17!bv-Hjn=rEW-ZYQv(OFKV%9j%J}zf3 z!~~s|8*lIyc`BOaRq^ZZg-Gmp%aQma`dk0fAKsiWdU~PJs_hd(7EUFUn?;AxU%(?W zH*NjPKNK~9b4F%6$UQ%{b((17eP1FXhR!Wrw`IeX_G+^)pT7OcQ+ZU*ftb>7f1)jq z^o!Fxb$dsO)F@$_YRB@b4#jPyKQ0Lp95Qo03P?twksGXXB910)mqw3n8 z1dDHfvF>%@!|^LBd^$M#*P-;OEO!{%yma|QrQ4IEe;rCwOD{DheO7$izJNI7@$#jw z4`cbRhIhlfG<}ECog+UEWiN^+Wmfjoaknodypf9KNO0Scy8h>uLWYLWyQ}QM+HGcD`}Oa{XlL)uDvb;I}{7k5$zB4!i2$@Q*{$ zZGY%xmFC5_hZe=R&QM^eQcKv?tayFmJ&T}lIAwf6;&6-Q9rrFw>gA$Vn{zEBj>NB% zjgED>DSfR``U=I+q^aLC= zU1Hq$JrC)o#-ZP%2A%GHK4yAS)&(wuWes`=(66;)N{knRIzS(AzgoM;Ior^|oRpeu z<(Im-orB|%D;P-LM&cvoeh0TV2jcHSM zbz4ks7%GfaUDmqrDs3)~DKS*};h&Y*Iuo1(E6MX_U`a9K|AgsMbn+t)$nP2rj%26A zAEiSdVFC|ckWKN8JRc%!>Jjyt7G%9HPX^q`1(eW?)D2{k&mvqJk03`7^cY1cyC(#D zZUEQ+8PQP=rm7K!>P-dVOa$QoJ>2Y^C`$b$g&S!%WPv&hM_JQL1&_&}gF?AsmMw^l z5Ka>j+z7uJFGftl@AI~jDfi+aOcpf$!VliPV>{*CYv%^*8D4~A9(Gtqye#&e4g7mq z;l`kBEpja+?30ty^x6VbJ+dX8dixZFJ!?7l3ZkC#5 z*D-d-9*$>41&^4Ecx)q`shfH5Ei?w6#8iWXUH3?KHaJx1T0qHm10NnyLo)R6t=8aW zf_e!cAKjE>vca6>nR*oifUD8`0;@u&4ZsL5i*Ys)~2zC98y8={e|=CQd8nK?u1bsr;u32O6l9n#t!H_ zxWwgLIHSTg`pEEnagGl&AK29Xn0nkF_Sc@6(;Y0NidUKgMYxI^1`rH}D%q=B(#(H= zE@l8Oo#Z%=-<}b8wfQks`ZwWY%YpZ2DECdK38TlsJy`5;N~jqI94s+A01{radYKrc zO2Irx+cQg`kYe_~qpoa=6T73(Ns~-=5l0TuUp*`cO@EZ+$da{=4kSW7i$W*igKYrb z&gx`T!@%__;J96|9w~3=5}{q-!_`T38b{nD(OcILrR@P{>58@Y!&uURLT3t#;k=Vu zdPa_%%!_*f_sk@Kj6xzx*=3*=*;Ch7t17sW`IE%VrVS5^})4k&!}Q>G;=xWa>{_QPW$0!HD|c2Ih_b+refP4 zoP`I?fMO32IO%A+peM;gGCFZ*#UNM8F1rsutx70C+B3)fxt#3F=UlXO@Sb}3AoVSh zPPiOz<3;>a>`08_U)X z;ATmmu5hqJOel9ZF;uufigQ=>FC=rEYA2N6Qsn;TP{n`eH{k@{uQ>?b(fA{XcTxPs z0BEEwhnCvdswrMxYDfRWRcgRocOU+)otNfkVsDURg^rA|LE0Oj&a5qHA=rb94pX%$ zYiIbv5R(k$Vu^y~C!;r8lK^JTX2gK7T0Cjb(2{r=yMaC<%lc<_SK=6#14TI8anfsz z_FHmZBIx9AdZ?@|wb0b8IyC=kI>if!ZAv)R$8?IqJLBsSZ@Sx+%F+Mmx@Ty~U({wp zrv|X7Y+i`&HBUFp?leq~{y22u^isoK+@f1iOxId?hsKVcsq#!U4VB>wL&w+=*Cn)k z4)-RzGaQ;>>~>t@u-$K9i2yp(5m+60X};G~;qFx1u*{aoRF4^s?hs`_MHnMW=+O$( z$?=wif7;14+jDpsbj-TFN%r((y>CKqX;E%&1APrPk()|0rAJd_|LqQ=q zExltUl)Unnx*5t5cW{YQmmzh~y^hqx61>2BsyLvi0_}QwbdywGjxP-9Xk5cu(KQ09*KzB)X&)5GO5TGcSD9v>cgbsZas$HRZY|Noq~)?~yTFQ0el5zIC2!I4UZL!B*3+ zul9re-8aAZ?wkMOyKnxP{pjGUQ9BIG9A{e`;Xnj0N;pm*)sFaKMCBPbz{n}iw&$p; z0ze_LUNv$Wo#5$afA{r&PlUhw<|p5M^UZhP{1s|Je!_-tp|ano&a{9ulymah9UvVV zu=jY4YF1LfwH6Khne<^R=HENr_X36{rgrfrx(xjCf zu~ST+`%$(>HEE7`G`|g|HqxR@sgvOL^Ah6fP zFptpD)AZtvozCVc69q#2sIEONF_!J3EU0v3LVtll@mc}>o48#x@c)|!SJ}L*ij{v#z)$)?83*R`Xx=;cVGWQYM?${-y1vPy05Cd z-pNq*^m26j`PvxgQ;%09arSUxtk*s5E2w6z2KZ4J!_WB`{Z*omB+l^SqP>%aK_dDNx^Gj~>=hP&=Z?NG2D0CjqX)goDYrUC` zN?J1)g-j+;sA!`d1kVj8A+Px^`sTml`TVQHU8H}bl{%ByT8}5TfxdCuS0qAL>`y;$ zPwxpCoA2Y{k26 z@y*AL$$c9wZl6(gu4>U%xvI%k`@7WA;R-KW+V>^!9*XI^NN2l%$67JHV|7bctP|Qn zh~-HgYK9mrt(wG5Zh`ju-xv-wzJ;3z{G|EacC~7wI$9}4$ z7UsNx{&dDz2`*cYNA=y;e~&jh7*Nwu5qg&44WSL_WtR-%Q| z?M5F=7sAJe*y*%sp@gy+pGr>bf6KSU?|=98-Cryg^{Ki(@<54Ct+9fWE2QlKBYL7cgoO|IFYEj9o1Zbqqj?bg zTFVw<1#(eLo@xe|Vbs%eNnM}MxrtoYU1Wv%p|+kBxPP94-$z?t{}WkXYD<0sR%OvC z{g9#Ab|ETE8EQj4upf{puPt`q8tB0)PA6+q>u2WohBpRZLCJSrLl+^e&MEI3HQzI= z_8v}lOwAl}o@jxM?F-sBuud4Er4|iE zfaYpp)u)Sumb?ZQl5$V7u_wW@Wwxer%Xo9(=?hr#4eiAvdV*xA)F0ZX{P(O6 z7fupjn+R?8F;zC^)6VIE!~0jvfBDYzht+N7=oSS5w@g zbYphEKhh3{U(SWN|DBbl)Hr9Q1LOl+D+784Ou)drbw4q!lOT*G&oNT*T-foZ0Q=?4 zXEp=Cih!jcS2d$V1guZ6(~&$_Q$w6r(hP0`S5x`sq>eJiV^33l&QahQa9SkC;%}DT zrA@%4@M>nXngZ<>dLpm*!<6#58z%G#+5N_7oTq{xY11VARngxrN6*)h{eYXBp$w;Xq!p|2WY}ZFV`YB{S%{em@~r zAxomYt*(~>e_0yfe%X(H>`dXFS?qlP~p(7{h8w&_PIiix%V^uz(;<686h92;K zqBcML{DfS7SWO2|+e5yD0>Rirvmbtb{_yj{`VW5NEuWq4*=B_NSA2Km&T)f@BLNGF z?Aa0t^ik2CPj>VrJrw7o6Q`-0%^Z2yL569J!QwPfVDGVyMj%u+>(=(Zqx~_M>2fcUIEjE|G$D{00(dI&vLHbf{M=6a1cd_S z_)rtSH0w&}Ch5f8CmIGb^EH904&(5ovWtGGBY@(vY~u9e4a2zS3Kg&`)Qmt9&>KDV z0dfri@mJvM!)Cc+@TOYKMeGNeH}&h8Oy$(^sFJ1dg5?mR*qgcdWTrk|JBS~2U3XkR z5qF!}`~lx<=I5hX8FvD#NvE0Px3L}g;Yf*pc|X#KV_HoTS0;M#H>crVN0Ky6GdPQk zx+VA3J>@e7&3qsU9krP^&~P?har{bdmop07B!iF1$m9;EW34JWiOB!aC`Q4&Xx}k^ z){ig>vJ`$Nqu@9!C<{b%dtdD{`^cahp@3e^cZ3fT$%MpPrvtbf;zDt+ zTLH#&RX{~cobg7oCO8*j_&fCRdK+F0Ye-HvA`-l|990X(^#KWN5oJVs^w9zqs`FAD zL8`Rcet;>eEGARj^%e4)9aCsO`4m zqyY#lm9f<^n2mm<`^;6A^%XT}Pp(kuZdaIjU85_<>A=4BB*U21u6yeYd zKEgiXou1Jl9uk>^`_ofFTi_%iwd^{!&vs>uq_<9%#R>Yb98z zdCgfGkYnO>-Lc!=TYF9zX>VxKPkfq5ca>Oyk5KAOQ$yEA>^L7364w;-1-5kN{({YB zN?J(AL7B-80=Pjf2KA*3hfePKlQx%V>qg?{!~`KnV-r8y!b-)UEW|Ul^L-%l`nWSa zvoiyDJRsiuP;}TsH)rnkH58iT38dRq(~RNKB@0!a1RU(Gvn*Ejcq9}VLJ3ea7~lh0 zjccgwajC)mkS?%-eYvNUw2FA_lRs>%431${$@zom$wHc_l7yp%59J-Qv*|Oc=kYjt z<{X4BQfoE!8i6oaV@aNJ?z_$Yt=Suxn{mSsAEaq|fVby#PV9}rQJ%BS40N@PvUiwT zPU$hQI^!1c%`}GWw@C75Ux8rzYpn6ee~dSPS>}*^`r4|`cg5`7&v!17oE?*qu=P^*o+(7H|HXZ;F*c^V7M&kj$&Q){C=H&8i`GIw7GM? z{B!T#ZHi_?OJSF}h|uh3%5i^Zl4^1X%f#9%9a3IO0x6P?@%0(-xD3ae7yOO2sgo#i z-HiB$6i=QA%y7%1U3h*vw4A%10VpMPoTt;iWq?QcvCVnt_~RGO7ep<0-NcOpVwMmw z)NHWDNp!Fub`>JqnC_z^h%}PI&1C{v00M@D>v^spg-}~FLc@WE~=ihBQX)~HuH2csLXu)Vmgi}O4tXQkrly2 z|Cnw$kIkQkzExH zdm$coS{e&6PZRSrv5=mQB#m%AlO$1{B$8&^6j0QBWUr0O5@wkn5{>#oHyd71_%=AI zQD?QUb-&);vVJ-nq^23MUbBU*VkB$!%txk<2}Z*)BdRA_nbh@TI;C*Ur#qrULbnP# zs6HM!Q37CfIv^&(*jqAwr=#;mN(TT#K)kBa_4u|gIyHk*(@qMGB?HrLK_ZzSf_ zawX9-DW6fKG46$lS?IH0W6mTM|WN>S*R=1>L+aPOx7qgD<9Cf61uF~ zBP#{F`hpB-#JUx9Re_#N9&L~D@}%CRF5-cxR=?X-6YV*KT{z5r!r}1a>Agw2#SfCy zr|p6#IR{I{hi!-O3SPxY|`|sYZfj`axo+O*oj6IqUc%4=Ch`btX43HFSKSr)h zcm&&P@gda0{Kv}uNI)QqM+twik%q5pr}gLGb0?Nxjzl(aNL!bce&Tdfh^LpLa1ySm z!Y7y1?VXDT24-dO61twj--ddi_|Y<&*7(cN|9f9bX$#XwZ)*@{G)8T2_!RuaC-bp}>LT9MO2pO*Y6-huDPA)=X=#%3oD>p<$ z&58qb+!c&*u62a1rIQYYFb5L*3uOkB%K=h&;7@9rVfO-m6(Q1<#zWFyW_87rYE12j zHL2wly*8=!KmEp=p?l)wps+h6a>>NUK)ylHK0@;Fs3V@xX%w&@ z0Zn^bbyP9JnU#ZkpYy9}l#K#m-_aB3Zc0%;+UfJR@2!8IAy?-$GA?rv_&pcI*IrtJuMQ*05y*6sowtgrn2nSsYxm+ZqaW6)d>&=+&?-aJ51DewUOkZAWEW+cRNn30Z`(fKa z-W=Bdaklb&Bx&i_SD30<`*m+jH`_;(9k<4#Lt>i5d9o@>;}$}=-_@6!Uf$Ukh!(BT z1v{sXGsGn4FvXv+ zL$onsn1DzU<3QrS)9K|w-ok~On+Df=qElQJO;NT*bu)2yc2`~?K+yWPzW453OJ|EO ztD5z6EaN{AM-JAU-sji;#M#NKM=OsmPV^&^?%xZWgHS;~Ngc_L41NJRN$?**OZRXv z76tQw&#ic(M}mzC-v;_Wi%#s8AxYq=Zpygy4E>0@xTzd^s}h8pa!~24NTy48QON&8 z8K7U$;9zK0n~p*APR5ARc|?0_GAQw!m^5NY4+H%_kU+MA;G*4p?5Q=Q zZrGH8mx1*OjKG(}cKS>kaK}-vj7X`DCk~G}BBX_y24t6s%`lm#aoTOc#=zzd-&+D_ zsoj4EtubA>XO@A0IwACdq(MAyapVY~vtZ~K-QIxI+lK<#OS%Hu8)BK;5*}E)o$BcM zOKf5cEDeB3!)ihGOmccrmbjov0-`5w2VZmU{}Ev0H@#g295UN!ES zWz}@__Pn>txe(3qiJIDOsgE~pdG@9}`IexuwhXeX7>Pq6Rm9O208)q(oTwnLd)z(1 z>!rKoL?k2!I6accUA&l&kmdt9ZFu3JhUD$VxWnu~ROVtCP*AY4!j(SNoSXPeSGo8j z0%F7d=n}7DY72(lwyfZyiFre_Rk?29-vsxqc39=SP`Oj|v~lg~dU8H8N0|+n5Tu#{ z<5(5j&Ut&%m-FDkT+9=!VWt&)jGh>Sz-maXFZgGYxkUr5tG?RR!<~L@n zElnlT<1j$=uFhFd9LN4<-{Dt+$g8Tjlt>z}En9~XQmsG!p3XF+-5v%vhyiI6-qm$3 ziRMhgA=b!!VRM2i;y^hqk$Gq|Faq%N1o9ZZF(pu6`&K!J8d2Y{nsQ zOBYS<9`N?B5a|Xg?u?2rS*}1u3@y8++-~X9n{>i~4rFrn6Tqj4>EH#TU8mF$IB1Ia zBkhTWN9v_eY{vnefb+x*bhvZuHV`u%hIU-zMS6|Mki9mPq)UbpyTN&4x4$s*WAWZT zsIGsjH=ZPVVjBMsmbg(D2l{EC7vioRaRu11r2!kS>|gz)Bwp&;{pxSgLk1x44tE6I zCePO#xgAw``u6v1{G*&GASnq54^`Q>Htw62I566u-~N>DxC4FjOuQidRrWA-(7{6r z+6INsaQ!+UE5lFl@we>flFk#{9f(;tpm}J{@GrYS5Ca0m5_c;H zY4Q#vB~WFO05J%9u2W9mMI6jt;ckVyYm2`P&c zjRteF{`MDb+1ua#RAPWL5~(t0UA}jASGu%_edN*81d?1C<2Fz|VsoCT$%+PgY7dJ2 z=Q(4_)+W}40@A(g2VyFCemOFa5B&0+B#OYvJrVtggj;#r*)OlTyqABD!k z;nzhLb7+_ZvSnQ&{mqW#1ORkb(!v~Y1PyI!8rz1r)n3p)s3i__?yj#jGX3>PtiYbH zhVCRS80-_!E>znMjR}S_k(Uda%>#@1O3Zv!XFUkok9z~VZCWrQ7x%s@j@Vobyg;ixF`lmf}IQI^bB(x@*J?4lxx=qcfm%NK4 z&C}*~t~8>LZ8n!`Dh)-%NbB4By;HNovE}(PI6cCc>*a7QS~GyZ%-3TuJQDZ8Dc=lV zBrSF7cvgb1F3Zxd@qSYy1L}X#oQRdy^QM(Yh#};$^^fOymp2xo<1Q)3dGWrp#rhj@e<5=b791 zcYjk7B|G;L|Lr08={uYMZi+P?Wc^73m?voper(@n38a@u%<#rV&$-wMCuxDntYgmz zl3W4(jjU?yx-Fps4+7$CihOPx_VFQjWNT;vXJG8|eGS1c_A<%##?Dka2x)pcFLuh_ zSK+{jes15id8Z%Q<51xty5Dr*XPh&RnogzZbfS`RDtIJ+VTY-+CoU1N#SdQmIDViO z*7Pt{5=a?7I?qK@zOWq3&hkl=CQLuG5FH>s7n2E%Iq_aHcGHihQ}>Y0K81J3ka+O; zaJdoR)s4hM7WPU{-p#5_Kh75HmAT3SPENoakL7zq#7A2w_)t(oF{d8P?(T=>cgb|- zKDXDLyYc@1NW#c9IZ5HUrrk_N!QWiWbY0|i-3+%9ZCFk#A5G@hoo~%MTjuW04S`mO zB$GD$$INAe+^I;U>gm1(`pAq+Oq0TS4BfZ3Zg}SixyzOB>FEFq1Esx9OA+a2eYnU; zv*9GiIxRa6YwFI%Gw$N#?s1tkncY7yxWlAjcCFK%I+GM4)N;ZJ75&Mq2a_|C&Zk(y znPh^gEx$j?d1}N-`S^o!Ootb}xz^C384|P9kY*L+fAv zA+fzB%!Hc`F;K|dd+L~fx;iA)(|cZ2?0;!wA7oxEar?HG@GKs58F1D=E7o)&jm8FM zj*a7GeoFPIDMMsd)PBex?Ic}AKhlrczTV;6=F#>&`c^mKiziWDU-IjmdgRZkkL8$j zf5HRN7P%%A7)^u`EdgHLuPfjka8$*D+PpCLD|S~g^%m_MNv!5(f@~F?P_2-allmV*!=@XE9ahp5 zMolwoA&loO%!=OaZ)(y_Z|q{jj!E63(+iR}#qW~M#5h2QwLY{TS^lvglZr!Zt$lHV z zc7rLwA(zH5Vn5K=Nbj2=)plM~OhW!O>@wS2#_;RU?bBxR@yCXtX_u5YRrl!7gP6I~ zhq8FjcZD^E>2Ojq^P&C>a9K-IBs@GK;D(qsZEewHAdMSP9d-?~!Xb9%a}ouI4+sIQ zVU_8So0aWa;#*0}&|My#I1D{A0h57822S?JwpheCrjzB(dp|6?oo|V95C=51i(bZa z+0T4v)d_aYC7pJ=COR&Lk6?DrnGVEC`2Da6OADvdFCNaj9NDN7Z(1n@&@g9t}Gyt-_FH|wiWL>k~}A5si${m zWl{IIsZrOPb?GmDe*|TfJWY779d_;jU)3Q@)zX^>zAYprJHa$rnj3*LtLigi`H@>P zirpk+XP(3l13R+$Gl|{VuR&*%YdZdtj&H}m79E_lXHW|gH*_b|@Y!~e^d3GQtlRUw zX+|{{`Nz*?S68+O;;nQmNMmC41!CS07B#wBpqA+RqGPl{;KSxj!etP`pDE1J6kzQ> z{ePfINM4_}Ylm)R&F!VcEE}{os;77am!dheQ8afeN*plbX#g# zi_&NsCz+XAcL2W4z+!qef+_LQ1dRndMHiCf$JwTko4fy3DL2uaDqxBAf8Wf(mi+BRf}NJz%>nd z^RUQI*})6|pGA@N7rw9Ua-3B{d$da;3G+d+NXV(Nu=jZGxL=;hq?bjKXqDrvq5m=- zMZ#FMZ1`n7GeC`BN_!2Ajmx2HEs40`a2Sr_;!uwG*C1TsE&Z%@3P6Nk=^C(+cF~GC zoA>8-YHPL6Cy*-g-CA)LW9cI8!uGe~R0xW$oedP20iAp7(+DH_k1j6uUostyW&CC) zKiB)1_ep3QEX7Zu-U0oUc2kM)8JOU#*;IaRo38&_ME5$E1rz)u0P2@H#(N*`&BXo%Z|!fbg`B;117Y{#R7E4fNo9i%P3euYwKIkQn&1a2{0Mr;d_6ZB`q{>z5%Ctmw&cB8xZ_s(7_wDR2N3 z3Ya4)6M8gi=!`5jtL|&)nohI6gux1-cwTJjG|pQ^EBaE_)80U2fV*X4NjmxGqB$0Q zMUyk_k@uzRtx~k-S%)6h*g>CiXnfCqHpM)5mH0p?u>gnE)eP@LZRu(BQ!3@#yvSZ^ z=_KaVxs6#6=VS)x&B}PLOw}4- z8?BkC%u$;S=SFu@i#8_!u1`Srzz)*Aj>a;v#g3h{L3TYokAU4aQ$7~TtpEAXErO{3 z1aZ?tm=-%BolBCNbOa^1flXnYM%MLazkw}Sf(;A%04T=mlmn5siQ_1k$G}O1g#J~J z_jgmnQ^Hvn9f>uP!X8#=5(bWSgFOK=_r`7%U}C2Hi8~=15ElZQS=nu1+oT@k)KN}+ z_e!7N?6RLsXv2EGrH;_SC0VzGRS;?r+V22XhKPo=O>pD|Oe=ByH1EGfQe4NozA6fM z9ngpdULu?j4~^>)uvJM2s`E8c*41mCiZffy;rW6tO6)G;{E&fYgl5!vRfHgzmS?1L z1!`1Y0DgN@au5jJ7|5G?dSiBHp^}DTij0^Q#38)#*v`kbf%NLA?-$#kA3s6epq&$E z;gN<^jNAiA_FbMn>uh>KpRX_j&^Mp8_VEhgwk=2hr%j`FyHA+dp{;b%Rt5%%XyU0l zs?q7KEtIpvRfI(cXVr5o)vwWtH<=yqDxL$#d+69c69576>Y6R$>vKL2)ih*%@LC1q zF6H%(UX0d;kv*^LUC9W!72I{%>-Y5yG7sD|q$P0;6XMCAq7;Re&QJ83I|U6?_s}t#yUk>>UG4zE@@L;Ee_RLkFB$%jl>qzKWuHfI1uf^s1Q)< z;23S04MMu^jh?~R_sAeWPrIGKNUOI9?P*0E0NClz?czOvtH7O&=+APC(qoF%m@e@I zN^nA(ZL_eT!9k~Q&bR?~NSa_jsj?a-0uY*;`V&@nQ~;!7D?S@$FMD|A9!u=+s@%eT zv}_TlO#ct8;42cJ%r?{QGHA4q$q0P5z3Mv_7!lYL@^B&}4sP)(Z_(j5c8dn-n5?bu z!)!XZ=8C^j+0M7gtIMeAO{XA$Jrs$7I4G(=W7w<}rm5EV$brM#_iRV`_)Lq&V>%Nd zET3{rp-Pprq$*aK^1fRh*4z2jYLsX~HL{+5_-BX$GsS)xfnQ*)rbT>4>K5>wJNDB% zoggQ&WAF3>%?JB10R|#RZ0i2B%q)jEOkzV$sS99<+iuw=|EGB zTu?3Dj|bJv(#0_qKV5}^MJ#v#o%l1jZ#iQ-@P$Xl)5zh4ecWtldFch1<&HBn(##^k zB;cn(h6+fYc0(1+E7i@VT`KzVtXFi3kYSf-j+E$$NXUXY?#YioZ zm=aN_R%M5+w8jmk)fD(FX?R<{UVlWU&RuR3vF0!XM z0HDQU=XF)h*XCx0hl_rs6s|H*LJ~TsKS4{T09i5{=VXW9JI3Q9-Z-5Irv}S< zMCcXLF4A?z%Y8)-xtNYClKvoMrcs+KIJz24uCp+)K#k(B;C}6qFv_ZuP6=v^qa>ss zVY#up%8-(fWJ)L`kgDVYY;3hIbWUC*l%p{t{?>{eG2nke%|g;AHb6TEABdyiv~iJ# zkXE{%6P6%}neS=j&%gRf`K!O|T>D+kF4l_4dMlSMaj3sJgO$RqRW$XpayBmo5pOH{ z`#^;e3Y?;F04}A}U<@$}Iu&*V?knUI5ZM;0D?eH#NCN0X zVk+6y{RF+@mX_(6ZssFGY&nk~mBc@gtwLvy6}ABYkb^U?8+yRUoE$CZ2c%;HMIFSD z2yz}`#_Tf(V>;`;VmN+|LiT)m#V|VSU;UxZ1En)RVPDe}AO|lj?TCW__&iOHrND?X zY6dpam1m)@=s40zED`Qc#~8i=j`lK!+22xqQ#YI+5AnyZ7N$)YX4bmux7$}*;NOPQ z5RvI3sxcpQhL5-gH+pID80M%AW2fcMX<;uFRnrj~X%14to!);}^0 zv?f{RL(fR-a8a`+%$H+PI=9CwxHqVf_8;pHwmqFBn8O-iFPjOF3Wwq{PHqySn0QU_ zgYeNg@~PJ~a$7X>PV4W+F8FC`HGR_$Xwx4d9XfGh!Tpggu02A$W)&`~Jd~GG%Cd2s zWCpwpKp#WBihT$^(nd!2z9(s{+2SNpXo>Zbdj!FIpVDfG8*rop!{%o;`-JQ2Z0fwb zH;GqECslW4Q!VQ9SFcp|5)X;SS^G}BuCD!&iqoDWmue&=NCeq~$lH@PtsFQ>hPr3O zwQUZ|%Hr_EkS=$s`j|3kFB+sfT~wVM`gyG&Ox>~Uh>Xj3pg$wxOW6r9h9KRA8t%ul-(IZ+Z>w7vHA8EIrbwrzpBdr|ZQ+%7-m zpn}7p21PDlo&vv%_GF&k}E$lx+thNZuI>xw_#FhvhD~^c%HlMeUkzobpa3Rn9 z;hR4~OH}>{x1RY}q_fPHe1t_{7)- z!~lk@2#L{YvuysVac;v?w2&Yy zZR!}@1COI9697Y(=QI1=5rHdG4blmRqq*B9_EG; z;A;?;4F3)eBp{|TGh{MNCNgBi-@)UcSI>)IBa^^m%MExtOvogL%ur3TD|nfsfeP-9 zE6uV*D3Qb@lu|>fE3r{7kgr=OJZmnNO?oD@ka-#2TO_@}mUpbz z>}t()G8Y1iH>2ay(Y5o!hUsOWg76VQ$Vs4yg@)Me`ehuUlg*dm9zD->12bEZ zp_dtY1BwalDGtSXb%TObnz)8kY)zD}%W?AFqABT+7aIv=UU*L|*AgVNEOj->#G2tY zV~@@1r+gOuH#V7vJ_4jq2%59#NB5@>DxM>r69)RYN6iNUou+2ak_M8!*=lrD+H?Qv zQA#pRC^ARMPwz~f1mSojX}-MNQc8KoaHBFMv-|yFJ$Fs{@>1dL$`ZZ(@2_WogOm~z zicjQv;G-zak;hKNG`0R%R8f&%9ND~g^;JS7OcyyD3RhX^zZErbU0jZ3on zOm`4)4*G<|@`(@*By-ORNdT9m@JMIjAX&T*F?%k9dkn$?SO#JQMAX*b&pfce9{H1p zs4Fjwfi9N0K^%t(_qzT-q)6-Dii(_b#;xG&7wx&BL3Q{M`LLd6H6G?zb)q@H{cj7c$1#|@lb+F)yh=hR3uB*^y{VVbL+b^J7q23qyiE&7)CTc|apKYy5)fAs z(&?bras?suJRd<4ujr->NfZodq*2Pbh@c_MtQ{4ht86ltsT;2XoU<_Sk@q_aQxA%j zECyJODL?Od7$vJXaWX#&0pml=1abRL=tVAd`~Z#90p=xBJn(=-0;nH&DMoIPB{8&d zfU<%15?Z`+(k0OGIH^$(W-QW%DgGs1aFtAI%sb_K!HPC>?9!eHorG2|hAt+;6rEM2 z+Wk;83sI8jLpSdGUY4Mh2$1f7_I~6>lY-`~d_cSn-6z(e zQOGVt9fCr$sEJQ-#k=On-l_fRaDw1C`AXL$hIFrU=X_d)9Ux@sLT-xpV7OauN{q@Z zIB#IgFx8jeYZ~i52iALmAXwv{iWKW&^4uV-a3CQ_Ww2LNraA;J4he6}2L92$BRQt} zPS85{MOAL=bY8#A%Dow>#z!g%G|!vo^bWs1^2o)#hY{D44} zp_Ik3nZ6sZ17y76ToDaGmezH@+KV#R>^Hg(q%{3 zfEgw^GTxl(`rrUiw>a8Oja8pC&#(^MzVFAW%N>Z~D4LRwh|L^3kgn334urw71GE?D zq+tzWN8G~LW22ib0d6p9JOb8-j6Td}jnfr8X`Jrm=%)3=yF2_SC8G1j^AF~bNPCIg^8~(Bze~}~SHU=1OLtDHrJ4d6ai=v0s1mYaRaG_SEdg2t> z$Gg2AVLSq&8-kNT3f$LN0wG|k)m96rDg=>`A!T5hoP0oS91yxnU~7FGwo(B$6p+svnsJ1Y4*Qb}aqJ zB4*5VeE9iuJs)F3tf~4~J8ju>O&&cZeaWs?&aU%dlX4>31Yx&l#53nmANrPayOw+8lQkqi z+Q3ou>h;9j!P0JPal2`ye=>daL+GHML!LBtX|upCeTtp{GvjL zt&K;kHiH8}_%?j_c_)0Nm|^NOU=v}CN7yQ(4_73A!lUhT`>8RlAZ4wWjm;n_Nz?EU zPbaV&O41J^vSVMo6zmzp8I`CU?XO+OX%44jOdw&l?U*zfNha;>hu@Vz|C09glMP3F z#Wqyx2t=m|1rpYTQvqrIwIb1oTzket6yk)3)DlA8CUfm0dpD zXxGtn9gggh)*GO;J>%tc7$n#3_H-CHs{wA0T0E``;=V=7UKE-d2sr9I;?^H=Z>uBi z%KBcT>oqlL#+{fF_I&=(?(;b4Wy795Ix$0FOLW6WY|{1|4gi)vm5#g3PeBn=x4Vn+aI0r&ES=S`Y^BTEOh%APYdfHj_o^EuOtf1|TY z5`UEv^NApeqS+NCLYF#P&Hk`Q)WlS|=p{iyR5K0}Jwh)BP{3+)OEd_nb6N8L5%(@V zvMpJf(8;W-E^5;wq#m^pyR~&IBb4_>?)T$}n!>Qfn31{rcK02=-M8m{cpMK22^c_2 z2%&Bmf>0`(K{mA1r4p?glv=F{a>!p`&@)8CfC&;KzHgcBmp|gfxmiUiZ=Q&7H(T~v zX12_1t?v`JnYX_XJfPRNf6k-X#T94bCr=qKb?7srO^zKqdVV#DWCFkMO57*?m3i~Z z!6>mV(+jE}kp$gBe_y#h+!R8Ag+*gQ1T2O$=}S>B&RiBtpY&+(A2u*4&Bax#7e|sf zOoY%DDAhYCYq`(f_9ahhUI$Q}1vL|{sg_Zz(Nw1%(a#x)$ z`a2GMwkApi-z-1;_8;1BzoGx?aGmN!7--%mxq?onmN0r6dtX_fh zn_|;#x#{ex*KVhb6Bh~znJCTZh;FFyI)Qj<#3ffZGD^}XUIGR5EANL^w!Lyx`6vn5 z6PY-RKfnD28hEhtg^&v$E=D#A+$X;8Wc2zzcP;NMae5~=;7~LA#*!UOu&UId$Jshu z=u!yn`5zS^96zy0B`q@3 zj0pY2nIu9gW6D)~(nb4BnbL7FbjqT$zZ7JDr&1~1hDM5XBczDw;?!U%F3$%neQc|$ zyGE*pM1G_n?i;o5a-ueib$%+!it!p+)9GVNc@ZB>B&@u`$+QPGdWP*$ELES%k0}tg z-IiqKVm6aKfPb;jEYX$oeIn};{p3t5vgT_YAMX~*NuMI=iX_Ai5pwy0m{UcrdA%gs zJ**HLE5jNG;woV9Z+4I}Z*(H*S4h4yGu5uw_JiPr%s79sGgxBBf4i9PQ=7-5u z5b_i@G93szEQpdSW2%swSKz$;W+n5KF=Z7Ge6Q1yXG$+)BYaH3=fbYG#9A=(FMV=7 zqZ%=R*keM9y<#s$$MG0_fV_1f)TO05v+$H|h%B6d3?V&-#e=G9+e;r*XgeF@g&9)D z#>conpv`wYxjbiQbGHoy!v(Ark*r8up*g_+$DJCyYlBvNCiW+ zqDL)D?*v)urP$yYTTYZT_Dnq!%8WIN7g<)fMe|xrSB%7!n#M>LIp!Qvcd#I~^zm<& z-SFmxYD)j46d5|j1_z>JPUg2(jjEH05=v9V@ixaWUyHaG#Ho$&@?(GUP zQ`JS`v-RCBAQDROp&n9 z!nk}M^cna@CLUsnxCZBg{9|)W5wFj7ivT`|Olf|STmXxt?`n~pX<(^A_h8KaH$VOK ziB~zc=P(Xbe)V~AVVC*F@u5oiX|3{gexSo%!CK8?8zwhc*5mXmUy7d4C+ z-96&@W-ZVm>uOU86m;N>btDH`QTKfriP*o7)!M;HVv#Q$p)WzP8Z@uyskStLM}Pfl zZSy4qVTEdhq$9`e*?}!5As}S@B@<8wz1Sc5^MP?Lf}ol6nhF}zpnr);XFtG7P%r8c z8{u|Oe#usy(aFd{>?T`W_J7tq^5Ux&*!x5Ag>E;PYC9s*<}W1syDifqP@dpfG(YPr zxvpUw$!x&k9xDSm5FW74lOvFLYJ%rslhqVvb!9(b7hcx|?uPVE;8 z)o29`by+m%$S)-SsCoIc$62Z-5TK$z%lRX@tY`ZuSbbzZ&~;Vyp;}?6d4a&_dc{ZL zzOq8ET>Wgtt|maE2Et%h@eDx&OtqbO3O}f&f}%fa9t>V>isRByxA%&%^cj64Oo4s9 z%$fM@HwT7VJqYz=&N{K-jp74IahTRfQ&V%9Xvwx(&U&ElHD0IKt5V&s2^E0I*c{WPOMYDBZ^{iFj$M)*0hAIMqGR; ztbO}6k0*5ng@r+Is5TuJvUlZPw^hU?#yP-T72FmPXb}~=buJwP! zBQM)?Dct?+rnhn?lJjdFElOEQgxYc|tDuZs7&~oOs^%U~!V!2~*Z= z=y(awnNEi2L2CM0phT`ZDH5T}Q_hCzAE&uM*eoSYrMX7jsGl|r&#LKQ_*cT@Mogo3 z`~3W#J_L9BP}p=5c74yZ@nG&@9w&L@n|be4$8%YqNzaHyAd~IfVR1R|65^__7pi8T zgrDU~YRD@dpU$D!RV7x9*Y2F3J~T?<=P)yJbTh=Cm3MV#!bf6;ZK-NAS;gVGtM#mR zKYN!mVHAS{_^y!GrF=D)0DDciaHSog39}e827Dyr5z;Qov%U_#ipnsVr19EtlV{aa zT|B>^*pE3c~|JpY1O`~)twRY{Lf)J86xpHzuP0bL!O(A>E|$+ z)85yq6^$c9f}-zn3GpUC5nY z4=zSb8`N9AwH}IRuE=D@dcWtim8}hquXUO}iQFF6cZ&JDz2hQmTO1cQxp`LQEB(=F z&&S+qPoBQna_V*ub1^5HZ_B$!RnSkMCI=qr&ymvqaLT}>Y})tpyZoBenPg(F7Wj>bP5Ne4qpk0!J61sc5qP zTvSNTgkzO7A(Z}XmUX+h1TfxL!j3mo?mxV&9kMtk(M%Mq@|N-C<}sY8HFUxm$Vsjw zUkbhu;BZ5b7`$0A-S7RiL&l^IZ@dT~*KP~ato&fhpV;ruN&un`;)nG-pcBplk1~hR z^j79DK!E%8YL4w=(B}673Eb!HgK@Gxvd+amh?Rzbn@V^b?M0r88lE-c1Hq=8-t_MV z_=i3;g|%RqI$tcrO-eIl5X6EHbL z67M(~?vk8diYOn%vYdA8fL}6HgCyk+C$@%n>XB3KbSfqEv1fw_dJhoEls7XtM4~)G zIcX58E4>;~N{0Ly!&iDv84W?Y=x{V6>dd4cCHgU(=lv6`%L2A5j!wgGI$%*F@5(pB zZ|0kgK1UIqXeC$8*5D7OA%V%TZa<{t1QM4(80=4I_=86lr3LaTzQ@2E-4B#!X^NiU z$xxj&K&8xTACmY{Fi8ZrFngl!MI1dkvk+ZAC!wyvEISFhH2u>YKW;kNc(^O z)~8RKiom=Q0xRguT19$(Au|K&gDF>vIi`rane z%yWLKj9sJuUGu4SRi1^Z{6gR&|LwmhHoTQ0JyOkGa}ZWOcZ(8Apo|q`E+4ZjC6_{p zEZx!mWv9wwZFXnA{LKnTgl96hbAi!$RYJ^w&Agf1rut(ALkW)_aE_C2Yp<)>Ro|~+ z^rMRiK3YV~Zk|HIeoHC3tG%z6lAx=5obBveJ4*jcVqmUrt`U8vt7(d($SAitaZWWm zRlof+j$O5GVF-@;;NKRKeL#rL{*DlA6ydxdvv2E1b5njty2l%gG5p^B)-lq3IOr}T zl#?;+pLWkeofu|vl{1vn@0c_AKu-Nka+#ATXk$(qOXM!Lk5&0hPvh5|cJr*heP4vL zz7Sfu;Z2W{=AE(pKtFqTWXB}U80r{0W%mUGT6OhiqKuPO3MN82gE*k8?A>KP=Gy zn84tp0)K(6Pn$uc5Th&PnO0yQl-D1=2=8RP+y$V-YMmeSi-4jZIZQl;mRvY5%;+43 zV0rPvAQ+Ry*xTh6Mjo9*u-Psz@-HfRYgp!GTP*qKODWFng!MFDM>PMpFuGT*b6NUA zA=@6CIP6H&na|(iOxY9%@qr>w7tx;2&gLQ~&eB9v6tG76T#*Tm&)VCnJd?PtX~f$~ z?yj2U7I|BudtFvwLP26^WE!X1(xZmoi~pCPC);a2g*)_mzU+aXeFJ}zutV`xqRho5 ztf*ha8+X5`tLw%O@BX`kj?Z5n&f?N#O!2d-R|IstHEf!fNvNKBC=WWctc8iz(L89S zI#uVJRW1&E7FB#oqmS2_Pq}n&FcB&}Z!#ohLKwea@=7JYDXXq}YI<>?ZsZZwysRuM z>Q5hG$Y{kaVYM$L$aB1@i~;L7R4sG@9mjseej_N>)tbSBH!IPcYqca=a6cC=t095+ zT921ib-bYo7mB><=y!R@nKRI*n`2Qfw;xgAGac0r;3cNk@rsYP=y;0|t zx~T*Arocp}wH6aYP$M>S4)dyR^MPs5HA_nZ7I?NiYkoV*_db1+yT9V7HwJ7!)tUh@G$_xF1~b4^5QZFr2~98v9teOWs01S%0V5uF zlbBTAt`fM5^E;xy8jgXn1iwEe)`C|97%<|L#7`NlFEf1Xu(A z#)NG3!V~!i6pRq!Y9vKsZCeV;f)9xp1=$sA04irTyn0EqK|-)QTzlWFiZl0 z^$o05MQ;usvK`_>(pHm5`q0OhSgDWdmFq&piz0&irRe%Jdy4SgvRe>#Ba5DhHAL?p zUJ2j}#vT;BTz2F}#uJ3dASE?!5R2Fifer+-184ih2}8DpLG{c2H*Axi z2JGH|h(tsLz_$mrs07v$Eg=Skn?$jbVSKD({`Tv?{8KDJ-9k_@19HgVWY4B0E)x_h zxnW~RW=~@DMm{~WLv$9_MOAaE#_b&+k#Chf@karf%ac# zr%wh_t$)bpGYi9a@&j=+B}m5QbCR1m#kNsOUs?-&V%08qXQ*QhH7ldTctp%p)C3k? zjlB`J1%ugOCes1N;>}#sUn@BK3Z-E0EqN%=K7t`piWKB~%5gng(i5s8b9#>`{PjM#ONJlp=rFyx3B>eE$@VNi)dr!It-^mn`F`&Nv>~;D!%8RdzLNwms$Lgd83NS*Mo-@B3K7K*bf3}VqpjE>(iuKiG9zr#uL<29 zu}3{fsIq9%qs8bXvaImuqQkB_SO5{`b6`g2ZlfCOXFuUXmuO?#-=dnIx%sIvh-iv0 zb0>Ww_EmzJj|0?Gh~Is(D!JBx$b;{63i+4xl|)Z=U2F8)CtO5|6_Nk?IsrbibPNuC zh+UHi`4d534wA^~b_BQ2jZk_wOEFB~^M}bwB}bBq-(&T~ z_a=@ZHsT2oL8ox}-oy9*sAqfo%B|t_)JA4e!Tlf4sw+B%GddocqhpYV1Ke;^;`#mA z4GN!3<$2C;e??Jme+EmkT2b0>|3O8$zx@|H9?G4?5N|cP%ep0bcIN=mW%r6B&aRl$ zc3+{LFM}h75f=YdiVVLZG9AGSoxvEH$a{hP^xOYbQKA{b@s`IMCH@FG`f2-84k|Ya z8Xr4HIjU~1YvWx?nc_tH*b{cuzG{opSNqFtO1^l0nfq|T2M2`{K>UOMJSU(5$Gsude6!~x%uZO7Mjl+^$H zSXOIamE4ZX{AM>XI-Og9k^t1JgrYQ`NJFg2ZM=Y9+o=BDs)E^tzhrF28%FX%>QP;*8|m8_NCwEH8`;JT>;KC2SmBZzs(HH%zCg`@k<#6WZ&&-j&gec2!< zu`s=CDs}*X;pBSlrI&OBOw!PsCN-ghCP^IlX^6w$kRa(BM3?}&InF(caJpHpY|jsz zZ2cXFAde9gvJs+Ra|*@O*TVkCMti{PbzVOilixAK#CjK7c8@AAVL+Knkl z;wMpw>ta)MzMjzs`q=Rbu^DQR@c^uS@rf%i)*$Yq6sef;yNXGi;)|N3cLt%Y&WsQ2 zOHUHHa%2MuSug>H8G}SozDDGB?ba2SW1(?6n97B)h@A88aq(-p9`;y_0Vu}YH#5#ykv3Dvkg z7$vwI=InY3#8)$btFs1$Y5KJ|@dD43?OXpIOuao(FX@%A%2m6?)?Y9vMCg?GH^V8G zWhbl%u>A63LjbhL9_&-+8DucX`xmq_2PrSyrt_6a59_4kLtoxl8jqTY)cQ9ZCldKx z-WVfdCR>6!%{M5Y-w-l^zlSDA>SX*h;eS1RX_(kQAB13m3lhs6u&VWM_@5Qw--ss` z77_Eml#Xc!v3_cmmxX3x__=;J^@zmnN$tqUF_Z>%W@%VH@LwWV>xANfv=kZAv@e_H zfMtYeNyNH<;9ijV$pZKs<0OPbHo1cU|H&(SBs^IepY&6nmJ)e{&<&Q@0#e%Ztv$XH zY_dn_6N?vyd~-oB^P`085VSDnrM(~ynE`QFf3!2&<4 z4EY$E@9FKBQ~d~pyI$vqx{ybJZxj_cf*f2|Wjkb6 zrJup?D9m@tuGka;w8F>H;&+r6;qcO7Imh|7W@yP;EgL&uGUC=Yhej-*i>f6;uG&=d zzwFkJm;Fa&OrJL`jupvAE%+7@iE}>X!kMKy9@3U-!Ltj_m_J5Z+B*WMMZVN4!8qfv z-|-)NbJRbjM>262;bvAUMy%+*Akfn{m5d$3lq>=9S8A#THN_E0habFb3wq}f1+b$d z12#V4KpcnoVou+m+dS^TE+96S!Y)bA5WOKoCZE7C)3$=%M;Spf)nB0f(q8;Bj1^aqB!cQ4xOXURIIM?9Gx(v_~Luv=k=g zq!j-NXXA&AksHRvO(c1#pNaqOMAR6fkV(~eR=~z2Y%mg8Asv|!zjNb+J~<`k0-Dy| z6(y1NJW0$LhfSWB;+HYaUsdv2VCv$#L6BaE`pHi|eHy$xWynV`%rndeq6HiXg3~%` zLon~wSWyGD#w%7tZ`IzQNv^&en1z>Z(sXteGPTKE00eK)k4y$)aK-^S00t9Ixb z>#srNQ3voaR*$YJ*u&OKwvVxRamdp%W7A#fI)6^hI7u0imOIHDx$Z#E9;-upMr{v$ zBHGDeOxLQ^iP5tmI*^O|C?v*d0$-%Crz2Y7qLf%L)wE6-jAozgC{C2}T_drU)e9`K z6*in95i}s6n^MC6I}rxP;;rZrC$d^A)+DV*iV`P?<>@5CLD53GGwj@AGuE9h`!v{t z*a-+{id5A`+$T?bo*Sj{$V38SvH24ox0Z4PIZ49ClavOPBj6J%w~}-Iv3faAD@Ok^ zoFg(hk#P{L@+amEX)yR_M!p$)Y~_(VwV#`#n*Qmb=ceD1&5Ohk#J&i1=J#x?TPD>+ zMyO?Y&PLs^%IzSD7+`v!cjk2Kb|Rf?QSUXDGkzYuNPeEsW%9M}sO=th_jyIwOZvlN zTXiMmtF6juEpSv~hVW)f`eMm*@C!Sh*buXJxYoaeNzBP+h=}C@OCCJX?jCp3T0+gM zW5cKR;#iQC688GG*kSqOd!fP};2er2%XXIMW8F3Ks7Ow1@tqXu%2&m)(=V1p0-MNq-R4Ak-C$EMo&{a~$gSG^rLhOC zBS#*YAwsV89TYD8@`2#=U! zu$Nee{L3=0k6bNL3#e!MSnZZ6T3v&@9?niyCUjLU5$;J(7u>Frl5S)8_X zy%O(dXK?Kibn7&AP+8BlP6Z*E$+xsc+0TUzF#BGI*!XGY{G3P%UThhB{c3+%A$hj) zvj8b0rww8;G#He_kFD};PI0IU5ijpM2w{USc^wr$D=z@y!tPi ze92pd>u)Tz7S15;J4b|ki3vaCjX{br{&|v$&k4D`VZb=Hyp{c66FX0CFiV@7S?ypy zHFB@Wn1W_Jo;=uu*BgoxG&8k?Rmk_eEtjh@*X%!bx5W7Bp4}=EtLC8-4U7&!p&zmop!|E z$G)&6LxGX~tZ zW@Uu*c=9_eT2(KZksl^h6>E2Yr2R_UoovUH5TF*t&*eO(2;nDH3M@8L#;pO z*1e%?)85D~R%%;eG|E=u3T)FaU8}YXqhU}%DOhIMqOoj0^mBZ9e*9g($2Rr_`;()8 z^d*}QaW)|QO*s&>=pI6Ap4I;CpYqz?-d5+T=?A4gbWj&D3lFaymSv*>6Rr&+3+UOd zr_b$HW4A>&!fLJb+XAJ?G~maIPY#p$`PY`%n)xgY-rcvWyp(-uY3S++H+h(k#P6Ko zqB?`O^WTu>+^CH#;J0gIZmcn__Kf~%=4Jg3-(J*X+_G-hgU8$kBASZseDiXC&(O13jHkx3lVAc~96kNfVT20v;T+Q%RNrFFzwzQ%T;y5&yLmo>@PYp%pJ!*YQP z&)oRCeo-*%`U_5`svZ}YN+ZO;eu3KM%YMT(myh%>ApArj_;=F}7q#TExnhmdzM>^fPeUTzj9f8hX;6W&%a$N{DGh_}iyJWFdDDz9(9D)ZNV-HqB~?RD1N zxWO7P0{hF1SlE$caoT49TK|E()<^mSzFUU^iyk?t{2e$N^E-56`P;aj#JrHve+%|F zjzIqO`w#~$>-*pT^hsV)i?(BpoxBu+P+qW;d#i%sZl9{wM5@s39%}yGBRw_cr@3R} z@7CL&H!WTA$R3ggi4*YV)%QZ2!yZ!i(TUP5@a%^$dvszyiWB=G@?cx@W?+lsFiuKo zqiOJQD-=5WBGGyJjc+CnP?}c#FrYH#bNVoh!;BGIT{O$xWk(9FvdM zDIa<-;zhHM0m{OFUrVMS;)OeVA#~Hw)xAJgF5M=4mNJ~ibMR$EV5AiF^Zk^K$FC7t zhfqHsJInB=U64oB$GBsjpR68)bM0!;Fp-1l$VJm`*r}D1)2D+6OO*Bl>1V5k`x6#rmWl zrX-n*c=3#J%_2QuS)55WvdFuhn`K&`nrefC!p2@}z~kJBlOUio0&(gSN>384+GmeZ_p=*^nxRfbv3k{DVDZcet$7 zNBo4=t6J^&)!T9Q=J=Y41co2?iC_olQZ$Kba)9 zzBi>026~V8#oOX|S0*atr+Nq=KJf>Uj zBvvjVS=7uel+@;56u~O=JGvZ$WCwLD99Gi}fJwNA2gf zH>x_pBZb82P)K~ES+y{EpjPHRo5I%J>+9Kmt#Un&Cle>03WNE%&-bKaE~h#`q#p9E zLZ@KtZb&AB`Yf75&yNJcf`6o_>05;JOWT%d#=UxoNE>jK?k=Hhk1 zghL%>BUZ~7)$RHTFhDJ7zDcF}DLt-S;ZOst?(|(;D~Xe-dGAiR!dmVJdK8qtYX{o@t)Cqo?p-92vk z8aYfPK7U{(a-Ic7_Q=OEE$wpGP~8SITNqk~jnz;$YM-J?fO)p`nbXSe_B}*%R}09T z<3`PQhhBT#PKeK*9fXB$2{r)Wc(eiHcgWYS@R@JRs>+8Catz_92%Z`+m!iguF z03C+7$?Epe_L{UWa26f!&h^yf+Xlf#W`;vB*Ka+snHd(a#!b`V(p--@c6x1?=}$N+ zUqq{3TG!-9J9ZXJvp@BUJI;t;Zdt%mHo3@KTI!f!UQ*ND?zvzet@&`(4>g9rQA?aa z^R{h-OOkI}2QgYEd%`efDcN^1EYEp+vGB@5lNZgdI>p2XIlqXk)WW#X5w(bbVb!$R9v17Jd zNlxFfuO;W>2QN2?RXQfF>LImAqSx5I&?m|}h0!_eRubN2nnI3!0_*Snq2Y~IMa`!e zEJ7*XFq5 zy-SkOKPq|hzOzE7AcakJxRbG15`eqjH3bitoTTCp`kh52Px=QCo1O=)C58wV{~a;- z9%7F8;rLO4hQ~PWQcOH~B<&O96C}=8t2Hm0BF~KpfE9gbCC*XR!im*m+A|VD5jbzi zyj-!R<@&fm*FqO!x^F$D-_eb~TcDqAS8(-Z!3duHYC#+xH_TGHTOwQL925^Tck&%- zJ|ou8N)fCqNf`nw9Sc)fOmM*|x|6wC5e#qFu%TWY`+h8LpWo4EpWY(sNY6IWu42qo za711jva+PS-r_9`b%6&R9LDdpa4&(}yS;Fb2T_tqO_?v4F(Ka0U8*n4jUU2H9)tp) zhB1LAwW=WNYpbd=Un6b{Xpfxs^|C#pSfN)W$Qs)k8BZaupY4_p6GNffnu@R~OI|#B zp{p_5zN4Ri?^h*&gK{>wsrUJgdcRQgCJi$WJ*)-5Am7vSA&R|8OmL;*h&7vEv0UQg zdr^>jyrL5w!uC@AjNlu0ilZI#3$jJ89EL-?Ny0|5JnhwQuNg9P$XDk(0-o2b?+!m4 zF9-vVp03GL_#NH(o9?8LW3lb_qc$vd%y4QKgtGUr@?ow-Pr-Ne>fc~AHm^9#!GbN$ z-Mx|F?F9O0v)S+-F$|-W-pgpM@6VAA@2n6K`?f0xagUQ=lA(vWq6IXERK2q`E#ldkg^XjB-7Q~Di69JKNhq<#7 zORekYwnes(;1(X|0`x;@I`2)QUGYV-Ef!7^WiX%!gOz+Ik+jwJ-XejoxVW^7l>^03 z>E;?p2d5KIW~^#!LUc{$T*tz2w*7)^QNXY_U%EDPcAbKOQ+E4fSKq5DP7+ur_Pd=E zXNjxv4$(0I7pBeK{#;bl{T+TdT<_@#%xV7j|BZ<=`7^z5&YJdon~S67!*Wmec>Vis z^9WlHo3UKS%5Sh8mbv)F5iUebDQiO?Ui}`qEc5+d+zfb!>|pi9LFhbTxm}UPzLLwO z@9m;`QDSWCiqQS1C>zT2dM0f;GUiySQVIAoj0&2cL{M8KfGxr=+nXH`yKFfc zY5%eZd$%p^N6IFZvQ4hQ>a0XE{u{8Z4eM%uvU}MZs*SH9`VSSm{e_1VRMVbadzyQR&e1@5v`DTG)qRe{YZXGzZOm zhYBC-d_~yS#wuSJ4f{-FFoFQ@FlR73(iwZUo-={OoJe@sw0Z_o#NI0$XKkEl*CG@f zED?DbLRM^Wvf;ZAv}hos_WCjEd7CE+so7a=>SyKXRA$fdY3sWXEHxAxW`>8RAudZRv$~%%X+Hr+nBHl-uk{@Ag22erPMb13Sj$Fa zJS{U5ujRuFeR$`y$G}MU+{uK_g;|94XXzv`wCrb_WNW$1pk#(#(Cg5i-p@92AN1%C z(9Fd5)xnXAvcnp*6gD2?c1Un-n9;?F3kPRsJXzZMm8~D@?`?C1l&@qt>>0ixGL@&a zqdMhfvn$4l&Nax$331AmtG}sg3S28;69_TAqa+v~yaPwS?~j-gI~nWgiW~Oh%_~GI zOTL^fYqu1$#*q8w(sV(;|3(jastJqw3Qp0Lr(=H6gOEl{m5zsU&G8Oti6eMV!*UU7 zkx)rBuiy151bNum&ph((u-8^veY~Dn$}AHpt0Caj)2a$TXp>^uLGVV6v0<2J}cq&WLSfd6U&?P=g!v>ZL6xKs5HT@w~{|)w4Lc8spKA z0?(SRcD<=3#skGwf?O2<;6!Js%ZxR77sLIASmH zLY&Dbi*Gcj`3SO()muY@m%380K4*dmYLIv-&gjF+(@PofX0*Zz1wHFBL82MjrlCob zC=BVm(~HX9X;^9a>{Go%@4NcAJ3%}yV} z>`r+RFf0c{Q&&0PfjI_;WhH|k%9V}Pi%s>sG~;!^NbWSWb6Aa*N?_PaX{PiRZ^Zcw zG1ROdf>>x|gTPN+-WQDKrhBJmrLI|!a!!+ISbB977GqyZJeQXUqp;+iIr(Bof_RtW zJT$geoWh(aPO^YE3L|#dxJHQ;#2~}!EQ&8Q_R(Af@yvsWAgdFQrRxbz9{0(V_8tAf z$nYkj!ZZsbUNwxO(y1u(%4821)MhG8R8=!iM_HVv*1!Jgr%#$8@~Ff?bgwq*mG`{; zFE;r_3D)pS?eC_8WhD9mYtG8zG*e3&B9O3F1p{edt=fN#G_S7^e3gKYZW}(kbD!Rp z=bl?oGxK5Cu0T5JC z1De6n^XG!ryz+)E{rBz&TcB%x`(HjYvSiQQCg<~l!)P+KAQ|Tf^kw3$?uh?DjmKV` zpVAl?HcDkR)bUsrXyJlWMm5W#fN8(VbtNZq#@dCKy|}OPYCBYCr3(CYSq-y|n>zSb zjif8JS3|Z%ci2^9Gq$v!>+`J&#JxfYXmzVf{S-E29jc{Jk4am4K_kag)VJjS{mEYu z4#5~xp9t-r01?dMgz_=0Jdh1n#|KNNs~V4zK$1^Wl~Lvj`C zeND4W6%Bv0CjZ~~EVRjUDN zAQBEo`hHG<5k?A1UQ#gFw&*2!7d0B78DbV|AP5BxB6;$C!{k`d1&YUY$ImWm^7wn# zvAf6X%gN_BYVw{)$nxu`tuoso=W*bN67EgDWpS+}!fI?)~uTh4kiV;wl7#e?q z*N0x_COEV4GnBin7&=DLe>{q&`HsH@n3n;t70$}^zJ@i^{A>^`ysA`idN~@o42zUo z=WU0%cPUptRU5%aG0`(d~&~$oD);3&y!6c&By~ z#MyZ!ZRXzS&h$cdq< zItYyJt*-O0+8SK9)%UM-|BgK0yI;R4g73!$Hn|WM-fV1eIVD1U({O9vT`6&RqqXU! zKso1xAJM$%P7Oag$>PiUMK|hqb0AF}FKUkMA)eMR{!kAFayqSsS1|c#1;blC7>0a5n^Z8pS-~rnxifve$V)Cd zFuhT~_-_3!*Zm;LD7r#_iH7EPCB89&Tdie>~I`y zicXL;uKLc`#Ym(-K{5^#KDCJxpB2q%!-c%*V`W9sq-1Q8&`-ir+psyBk9@*@%xk<4 z$<=c&>f7LdwX2dJTT=9`C8bVa>!*1ZVzlWNtI}YpxvB<#^f+ZY^Ut54RiQ%|_BPinF0E*)(aS0btRzBcHVI%Ga4BD6QWwmmLTDW(Q|uaYHUlUUMf^cV}LEY1kVnVcMWE z1DzFl5yKd^%W@#S&lXRz{r5j%5VFFN_bmGX-N_}kO#k|wGZHV_a=Y7Dsy-0qt|{`( zTJV{@EEZ;gEKcMoL0CMPm9EvtH#EmiIDVNz67sr%sv8p+J3>nFO(=0NBq5-z*>pkh z#LV#s1s-RTDxacJF^x`&^}+Ln?81p8r9ApB2rn#9P`cDKH3;dh6QioGr8NL)2xQIg zC0Q1*k0A^jT!b~wlE+A1mkA;%6X<}1X&>AFRcjn#3Z4hDro=XGi-u&!B!{aRQeT~o%S2tCbB z9{oeJZ02gig@dSzmwEm#;;yNpruRCGpIpLBK6{hj?V`Xwp%G-bSP6{2thx4swwfNX z!0yzs=n1AB>;%}cQBmiRZx!~f-44I&dl8F7Nk^x7QAe!$bQ;(eVuc)5NV+eYZLK80 zx9%iP;s+bcJkM~eyxDRMuM1~acg^;oY_-_(Wo73Gn#fLd^;OQ$SujGSFzc+^HK=1t z?1=6e6@`FjUh6jMg*cFe5S!+XoLb@glMNGT2kFiBC8y5_c0{R0A=Oyq9qN3Um&cNQ z0n??f@U4yw*;ftmMWE~Z!fpvVzbc%(EaVO~U%?J|Rt;;?SNHIY9dgY}r(MC?s>bx# zBvZ;t5}S2XRV0*!{c0$I zoR1biF!pAj(-RR(e|>HU(02hlXW~kD;qUo!ap0v%6OMGMAFX!NS&-0&3YomG>MFy`6ArGGQh<=Ew0Q(nfQ99{C(_Th||nN!KE9~{eEZS9w0v$@*Ve60H> zplc@JdyJx?eCXLM1em-3W5#pQCmd)l21bnccrG*`Eh!w_f$^fJq|l$ali%D4O@;mp zCk?}df#1!y_{)6j%V!OC^jc$o6w6$jXEO$ffe9icEru`b-3pnK_We?gMJ^yXsM$C_tX}`s;kZYEQY0FTo)FHoIak~gN+6#c3yFy zA#f-k@#J8gMZpimQxP$ikjClDYvHNh2+~Z#E2s;?@26GN0J=sJ6U{$3CQlMoQ!uXaHOGo}4@`Y;{?^ z5Ldd=rxWuiM!UzIWR9I}&S3r*MHRzI=CC~5+itTZHmgQk)#rw`s}E8UZC<7QOTRWN zaIW!<#Kg&qlJ^0tyk4Az#KFn;MM>J4W?LO^*U2;O(zcuS-H6#&z1Y+d7Z66hLjj!U z{BS5>4B9aI1qu10zhaDU)Q@lGNXUbtLTnn181YUMV|QqjYb4-z)2ekRFLPzlaJ0z@ zi*4b)82r#)MRBD2&A60=S4I5mPe$u6PDl9iAl1eK-!SfJh_$?4cQYU5I3d<7XG4fl zu}?11NW;L({Kx=?PlHM?6Z)wJ}eSrgtXOi0}|)QRya;)n0BK#v@kiQldcj1 zJ>69oqj1#<^oh{*QT#ZKgDGdH+|s1Mq`K2?>Zb*r@Ac5nzE9`9*wS^j9hMO{^ITJY zV*RVX5)WyEH17A%Q4@dB7Y1Tbp|vtTw;y4bQoZAPd%Ewp?UQ9hQX!-jGon|Q+gzY_LWiiZC=jA5z;M= zqq%o;GVS)Mvo3*J^aI_6v#ve?CuxESGjnMUhi3MU(y&&ft6VK;+EtO30zD1pzRbhy zx$;2v_4TEJx#+7C88>9?(=$)z^nSy%An&R^DOwc=(cGIk`pO(M{^=(M+=XkV$ zK`CcG&Erh$L7&*3!=O?a>}kEk1|TwE<}rwRLg9I*pZe|&XJTZl!MfmuzV$!B=!W53 z?W?vpm2;@b%tk_$e|2}gVfXZgIg4q@au;#OX*?ZMDZV}c$y#zj&eMm$!h~O2V_RH*r1f+tU@DAS<5)VQMp|TtVgnW=2Eh+{p-prp2`Ek7F zRmdQLOg!ToK4cK}^ieUwb~kBO@DR!gw74q$#qY}sFN?MCV1O| zZ#}(~$id$J0V$(qVo7`<7g8^QM7XmVc27h)X-iQb8tuetq$HP9?4FcSH}_RNt4Mk= z$&%X=5_i%e2jZ5tJY5!yLVr zIhYMA42E(L;Ijh5EWIaSRL_=ktlV&t7zqI-m^pece>540vGTBThWU9j=YRK8b4k>z z%xIbSzCd#0oVQWVeL<%@ZJBh_(Li{n`_}ArGoGOQe zu}(;$Wxl=?$9$s$7$uBLJ1XiVp))x$X)JafWv(OaSVb}Db!tL!lmtDR`(>p#IV<`6GyRn2J`SzQ#;>AO4Z@Xq&omSso?zOx_W!f1y?U`_(Yc6Z` zyc|vc^IWN4c4V!ot7p~xh_Xo3rQZHWzR;BzXq<@Yr%>AYiKhG4OPr?uYGKcBzp3AT zvnOHr*^0Ec&QhIdRW#eLbmKP_RGi*^b+9*GTcE@`f5mw`U!BPOvZ$b2@?Nqbn&7)d z8gS=rMW8`B7ksr~P2t4Fg19PH@@^Y%cIb7X28d>pH^pIhqs+59h>I8|yjqYPi_Ud* zS7HBqJEQ&CSpi{n9-gOo$Bbj%D#qsUW4t9gSUvBf){zC3l<;z_u%*0>q z;Cb1y8VE_%l4N@&OmHP{$72p|j`#t!;`1ansq(M7SehS|7$K^yxWir#>8!YmufMUd zi|I)31hwyY;c>55FUq@2Zk))TbD_H9Ls*$tN4lwCtK3~^G`IVizI?55lL>vJq_3<1 zFdUuZ)@JF<%I<13c;2)|fYovCqT^-st;6;$C6PbUZu9y`Ukw^9 z-_(a+De2alz1u2Sw8e%m&H2d^bLRH)_E%eS-7VgJbFhyXMJ%dbsv<(8~Q-&|Z? z5bF;H_x|l4=eHKqiEtWY$Aa{Tc5TSyXJvn77F=Y#QC6v2zJ#qu{&q_&KSKM{Y3nfC zety@ohW*{YT1@_0iuvDqmlN$<(>2%!u-W9xRO9}K1aRPbb8e_;gc1?xTqogYi z%Sn7WpVT5J4nmSO8~Ji_$Y5keiR+U&<&?wHCwCQko*;3jBIjb=@Am7W+}nSw3lvuC z%!|lIJ#u@DWehhg*dm!;twP*@)mAo%Dh{?Jtl&!iK^f7|4ECB}8OZYmq z*}~F>_7Kx*zs!%Vj3J$eY*7`+nN>A%ojBoznyISDbUnKG^XVb+oK@9v+}Aw+s+CZz z<9Iv!6eakEKw`=`JS!;;LY%I>&>zN7iVLhi66evHv(Uk#K#J4F07kq0mk4gu?0_iF4V{ zSrfsiR3#40k+4va>7|Ddd~AT{^v-QOff2{?$n}yJ z{PV9g5pjy?AsqEl#v|y@QMrHl2cJHXXt~VEZw13coW9oiVJXq@FU6kRs95bKkeHsL z{3+rvw_#1@oB%lTFqAIjbFClR$F_OYkxf2d&%M}u^4SZYNV((%u1S=HPa!{W17CmO zd7s1JiF7_0=A3*Kg=t8rVm;j$N+B*R#IX0=&?J(#*$lbjzWC39`$WnRk51_FQJg-J z!wDb6Lt$?EltfcOk)Nhk;Al=_C>;MqM-xpwOZt2=8OV5*4yF0A7Uae5P?|3vgeHyW zehz}CNIpx4(ju+`JM3%ZQ()BpMY}Z98A+(pzNpZBA`eEEnRX?~Qxs5Y|A8(kNM|K^ zF+Gw5R2at2tI$?q4MTx40IsRFr*DkyhqRaGQ_AbTRWQPy{3m}D`}NlmAUy<%BQx+x{ubo}p30Mep)UO%*} z!+;^p`h;}Da&(5_3+atk6qYH z39$UG@mq+n+CZA%U*)((e0YCM} zOde{27Mlzxiewj?g=FHk<71sUR+@w0$c@$bPGd0;4|UAX2lW1<*`vte$k0*VT0Y>H z>E{!m;s^XbewA@=YF~9*?1!c+9>r0cr9*qM2Z}}ffL|U5&u!=$Z#q#7emoA&;Q#X< zOo1>~3~;Dt#4(uW$Hw`=sg=ZAk$avF;2UvR&QbjSxP7z)adC9OAc4esUFT<Z(<_1r( zpIP!GG)PJv?FlO{e9(lICNa4uD#$+5Nz(P6yd<&YX<}$#_-&#hu163RKLuQ181^-R zN!W_>?S>oR`%>J`q)K$NC&Kv&sOccZ`>>QS!L+8!-&2CkUJ!~W~ zV`|;46BY>`b0TabY}o{G79*#l*@~JNr`Z2aID(0v_ia(pXDl1o{hweAQz6gC8@^peR z>@X6D@Zyc|bA5f(L#;q$xX{wFA2nVP8b`nKr!zIrW)F;+shV42? zDQV&=6)>g(n}l&P{JJo7xOj5Y?(r?{i!``7krx}YW53*YH4)OjUNsngsi<}wC)R)R zQ?qc-=yBu$@~|<$Zs@rU_9r>~F9nFsgu6X7k2>T{*6o8@h$|pn6t`H?m^CHCC*yO2 zJ{VXBLksE~4xd=wZI2Nz*abP%XDw>gVYoV286&q?Ml#ht4jCqggfc@Cxn4cSepEZ` zDQC5->}sb-+NjsITeYIBc!*98h7e_;#5J<`GQf*fI$a(F5V%!)_Oxh#RdTm}2P7r~?EJd5102$nF~ZrP}8Q$`(E(5f=@T#yIZ8 zpVpcI6?GwTBaFGE4!>Vbn%n-Qg3`MjB5xcby5i+)64#NCbeU@C|EO2^A|SBdysowR#n|d$QJJ{j#ZQM zfpS%=6G;G0HSI*2`3r_V!$jQAVvc=>$Z#m%DWAJV`K%qZlOdI#z+Br^W$~Ini*GN~ zWlV{l*%Q)S5Enxo#CA}qTGJl-vd7fE{e@kzcYKX#0h?}H(U}t6`byY?G3odl%;vq^ za4>__&rVi^d-8HC5i0~H&}NKKd^3>DSyV3qc*|P{xs5CHrb3^b9gJXp*ec<<xtJ(}ajZC-3;;Z7cnX zP?hDp3X$u+Bg1>5(T9~%V(wr0*mIeC`IQDFlf0VS@hcfpr&)HZyf*P9b!9i*ib3o- zZ=SFpy6f?;N%mN>$L=?k_YZ#WE7~BckP_%xt*RHUTuuM`>Hy1K==zpb^CB)ItM$n~ zrBV@s5+4hkLyZ3Pe?bYCsOqQQXZwz$_w4MJu)kQ1@2pNWQElj_KV}9CR z6r(hx=s%crhRz({&%E}SH@=xS&<6tE?+ByGUZ5*47+#$I)BQ0-zQAeKW-29c^;w`S zHrz0=msI`l&kY01I#`JPKnsy=es0MUQXS4;9R6dIt&0Bsm)%n{U#!jhZ_ejxLmtP} zN?ZSpy{Qh2X+InkHoeA{p~g`Wd%~u%pSOOrcvlpGA6~=*yB7TBy7+R@RYQukB1r^r4$@U!_&!;rq9Z7+I`M-P_At*nr#9U{BVLM?0~5 zF@C7GVME>8+iri{@-l;#OeG^YdhwkKp^~7mR7a{!qbr7%Nc7R&9?&>Bch zl?9>2em2Gy!1y{UY0RQqF4ZB|?a|Z(^KgpbUWaJvx>ZHD#=}I3=x#8cdE9&1Z^y*w zK#y4f#V{hXc$F&ztJ~o$eVC0qhlRh}sQ0J{%=DNAQ4FI^B%iukEC?uZuY=4Dx<$w? zzHBk9%QmL=L}vQo9+#J!K;*58Q_*PruwLR238&?ym=4fkTkhzZue4ZVfUM)+`t-?2 z834mIh`Gk47vupUi!saHxN`I}YV^778)ylxL95Os4E3_0je)hcIb*VFGg6Q=4$eZ= z3%>0zEQ00cC4Ktof~`@0U?$pvSs=C!_b0)zLOC)Dyh&&TSZIYtF{cLBrq{+FYlPt8 z14men_tc!)NG|r|92J8?f)*6?HPF#z1|$XQyrMtH0!Naa7zEndK3hEQ zlxIQKh81W(6S$B51H49|-JprF__n*;6^10O?;l}yHjS-*cF3^<>cMEb{hsNXjysg; z6w|}7S_K#gXAJD+cJo|Si?V`d=Jk?oqN!l*3xU;_#}9PWs;~vie1YvB<(Ay*s53<_ zpR@bxPIpNo&KT`hneI4l&!t%&1S$lZBqR&?(@B-&e`bsG{(ZA8R^pvM!ggTrSJf9w z15zv*>5S5J@S=E#*SltTX@DlYYG)dGb0ckX^q)dQS!yEFLA5? zHvH(YA@bH);(UJo!IARtCk6pei_KdY~O4Zc@iG&G8;3drdjoolIu+Q}+ z3{M>TDVZ@x>a}<+WLRK%QkrmL%8-?U=Ybl&{rWHeLO$8k6HfI*D$|gPMH+2Z45#g~ zJ5~bU!JaL6H-q7`R*KmeZI+uVmS?&Q;6P8W=7T{m!>$hNPP70|K(N0q7bXW}H%cep zqBV+iclC~Asg-TPfX1_s`;otSCt*9=>X_S=fJu-@xqx}R>54)7w>Z>c8PWPFZQc=! z%b_bg)-W801$ zPP5YK$t%cem?3gCwNtIEY@BpP;W!0;+2ulpC=N?zM1R?#WNRr}TvjJ84rJ-#(CLAa zk4PaIq0y86Lzo8&F}|LX$)sJ^@T8Tv*>Er!-{6c zb`8;VZg0-ziT7zrpJh>ifII5N*!n*|efp%S-3e{AM_Y1d&EV(U$&XmkSG?;w=2%=x z0-5;PB$NoJm0%jtgTHy;_IXh_34O{4YdHxYVt^JOvjQicrz8CQRJ`vHWH02c+cX(@ zd8f$&B;!L~Fi%F9qG_p-DHSIQ^KeFYn6~Z&ut?s`_+Uo*(!7QGuV8}~E32nFgmQIz zCFnr?(UZ5upM&Ug6h8T+z_m1S+7cFEOT@I{MEQfw6+35NBG1ol_bCbZ%2&f?Jv7Aq zskL%cQ`tYa`7RO?U1`soyzSdR-objsnBS8dL{EO4p)+8d(b2^g>+Fzsr=0sc(#s`- z5&qe8pJH@!Y~`z!e)-{YplvyN+?mtZklcSFmP%qlIlf4EhyBvkuUK#C=Tfmcw1vuI zo%dP%>?weK8tDc!u%fZT(@onwy7+Nh?byZBzczN)2cmzYj9w&fpWeZ#2)dw=Biw@JQl^}f`3t^K&K z1|TGYG!dt0ayl?+i6Bz1D*KggowK10<6f}mS+y$HQ^hryQ|y<;{>2G{K5a_dW@)2Q zZ@;-&-yp`O0dv*yJ&S8D*)Thf$fZm#9mY%lvZj7p{`CD|qgq8#hpw!ixLDZKcJ4>AP;)_G^dP6IxiE*C! zhkx|xllCfQyv{ES7R!L?hrhbU{1A82e)XhpB&~3qy<`q7v9GVhd=So$0}+5>U@3D# z>m!mp6CNlycD<<3wQ5>~fVKc##b)?6_Fv0+zSxKyK)s;OFr9mp1%^0ktat25wEsqbs_Rp5nrV0S~_%1Fq$U< zgU~uDB9v2+V9lYf1-8+0TU^OV?}_js0w)AQXV$9Ny{P)*^%^%ha#;;Bp>Q-XlzpJx z<|u5jtsV>L@Uatr*b7PN5WYIAou62zVnOeE7|Dv(|DEP}{v81kRil7bpdov48G>QC zA^SC($9|*5a3wFiBaRTWu)3;dOA6%`-Pm6XwGeLGTY51{^zZc+R*psyqOYOD&8{Hb zR-;%y)b7kTnXATzcSOZjDVF(aD_EV+s?ZH3AZLTE_i#fk?hIjUp|`iM3N3?bIE#W5 z#P7?R7&CKO2^zRz*QnJF%RVN)D&Ft@z`Z9cfUGmo_OM)PH`|-)klf4fT0GDfJo`K! zyOsv+7G~&9Ihq<=(M-5nLDWz(IM z#&G{guBNLO+rntRv*W$*d-M6eAZ&=#A{c+fSN@nH-4%v|{^&FD-5*rON9yhq0DC`Q~rP*K>g?%{Qlqm^l4dk3r9a@mN_ivfgo|>e9_nsg4g*- z(z!+vxkakTgUQ_FawD`a$_3HLsHcSH*Andqr5>G0R&`!8cz)zcwr02Cuv9)M zvri-sv-EVW*7j7CL)T$?2FsPQ!SC|)4+C_R8D`2yi>^Jn#QsCUR43v0m$g`P<6J4- z$zxR>airWada1|_01@_&IzK6Slq2ptZ{Cn4{|1rGQC~EWUu2|%exQTHqqRiB`bF{D zj`!rk5dR_3&Z3srX}KS>aV+E`Vl%+0QGD`gT5IU7y(dJ44TD*sS3V{N%B`6Z2J|ZG ziGIII^dnHB-x3r3W|E-F&)uhCacN$cXYL<@(EriS zu67V8M+Y^TN7B`aeo9NsLzIt6tI9pEE^*Enq4|Dn#kGn=j}})Rc@rdC_{YR?brQ(X zu@{J)*75#!&o|BwNx_1@5(cCJ%Irb7BZfK7*CVZG28k|ywDc3=nHJm!=b%F_NvRsg{Br)dbnUc?k(9?HnmefRa}Cvy z$Uvb}mFPoGSyP8~$#v-CWvG)Xxi%N8754~D$l+T0l~Lo$e7raM$aWjOz-uqYNxIhf z&TN1fzoi3s0aYFa(@Wo<6CH18^<)kj%*YSRmJK9t8s6k=D{O&me%o=cvU!s?7BbsK z4gBAvm;pL>QU>F~mxcBUnPndU{suxM!P!MA1_s#Ho&etWht%W#+Vv%OmGjQ>`@HfePji~)PS93=JR zSLV+DLe@ekl(i3uri{H5N*yBuHQxeUJw|narh>c~rs+IZu9M4ZNw9<^mKCJRAm7m%unoWWY0wRbLZl(9rVEU#B6 ztSLu%I23^Cp3cYV%KwkIx9O2(%d&)S)(2G>VvK~;k_nUYMX275bo(~Df*At_jF1>G zK{9tYceikJGk<1o;n!o{JwY|-NlT4{P?FUYIVhx3iBt(vJ*b;CfmuoX1SW_vLSg`G z?S1Ua!y|6oS1-FNU)*qybN2Z@XYX_NUh4#d9~(6-Ng=DKXX|y|^2tFDgIAQwZxk1TH^)-K zj}@skeV@=^TF)k5(!&56TtP|$`bo)TY^upZ;{2!^GBe(fPwCGXxP?g zYh8ESB3GZ1KJ69mBgv|V^d!s@YH_~*_8F3S2A3}7g!;2K*yg%cPU%T{_bR>b_=9|? zEbW?1QER^F$}2M+?-?(9mB&S%x?73UgQXk~Y)na{EXlE$ffFwH(9`M&wifT#DjJ#f zl6Q-e0h4@MM4Zr-p4N>xDnYYC-`c2uqshk}jbkT>hZf+R&G_tnHd2!rXk_3lhLm|n zPYI2rk+ksyu#+hGdYa&yyBj`#p~%$p;TX(}1069v$SjDjX3c??UA@+n z{s8?LlTlzC8k1JLMTLeFxJ%T7PRxAr>z1g8__SjqBomvn;hp-8DICdc(Ygpg0Np^( z)sQ|JYVA!Yd&Z|Pu@&p>b`-uCkRLH~(@C$(vTNv^l8>p=DGu#ol6six601_v|7OVK z&gSmbWPi+PnhPnseP^%i`yn5Oc$k!l6ZyIdM^8HGPb;6BaXv3?A2^dBo>B zIgA;mZ&O;YX@lD0KwxNfvK#YEW;KSIQ4CO{a)ERI@~gl5%dBYmFrE`GvS=_5NOi#1 z(sIMD9=0u4UTTNJj00RpX#1;Nu0I)0KblP1rbflh<~7gajicl`>9n_nP-$DQd5;ej zWl}W*9O^mAv|d>Wu?Lc#JcAa1k@UxEXuus=K~1@KAy)HH{Gz3q>Dzpj7MU@XW^|gKRmd33{~PeWAK$EsW;A^aI){})H!Cx zNlcRZi*Y|noMg7%s$x%PsI1(J_W)9d<7{DAsZ+NwAug?{?>S#GUtitH#Pa65g-k|n zWzME6OX4x{)S8M8bOrCaZLN2w;%hjj4*E&B;6xu~|K|M=116LolQ@|=a5wimIiOyiFD&Tu@&;7v#2z1-y!5s!*Iv_qNf7^Z&CVeAjzD8i5a^kVbB#I^o;A9tl2sM1TVYU~QeUu)0?>8z!(L_y$) z%cI@9p>P|nFC-zk{+Lhcx<rayViN?vl zFS$n5NAE}-vJaz$2E9YUT&kG()rRuVX9H--mNC9 zHlyzun%s*t3Kif=ogeQ27<;2K5?3pq*CFDME;*imQeJr1o zRX9V?Uhyl1p(06R>%aQhV2rIg(pRhFQ7KKXc!f56uefL9_nQI>$kqsAN?1E2z8roR z(7rPviJe}ee(L4OC#xxb_vh$-3=k2>AQ?+6aY6~*UBo;B6;Mk7lS1Wmu?{2@Lza$? zzQy1FlG!Hl$pY!dO-sV+lrmYNsp)WisgQMxe$E-~5J1rlTw?Jr66i--SRgDW0>WdJ z-Ja8@+vZQGYti*3xuGl6>hy~BCA|{YXyn$qe!8$#fB#EtmsP>Vies{`oj`|3DT$-} zr<&_u{?RZTGn3d^Qo$vZ0HKu`q+E`lbRZ!NY+H97Y91>@i`U9-Kj zKWEQf*`eJy%5h**qa#GkW3DQw(OGE9Z6>nilSo3p)a&}Q-5v=@G1gScn&b^`gQ_6V${q^~dZ-Yq+}&(A43>Ra1xWwYcXz zQ>Ic0S~XV##KuJ>PU4DxOJVqEEsO1uZUQVy0{pgEY4y;gGhMT=W08u_%=xiPl@pa# zmIC{nC4QS~SbflNZR~y<;b4{!E7QC~!BdR|GL}nT%S>s9yd*wa#qsNdt4!xD`KXA{WuJeiTisqQb}EjrNT; z_OvLNvS&sLv$fdBaPXOT5-qp?^Y`}n$6*Mi$ZzRbCR3YTTzsge4ka0anrX+1zF_X3 z-Z4|kpYLSt@y-WJ(J**S!}t5Cd6i;XqyY*Xqf)2k+S1r|pD}pjW*x+ww25ZG zeMgKi+ZA{nJ|oi`xo-5KRjV^3dbu!DMbPX+WAz%j#5^Hv@wd%3hPJPW8IsG3r2Uj= z48jV^EnR0zQr|dj*KGLEN+<3$W4x|b^^3pHW`-x~I7Les8z%_N&# zpUrIK{*SFiMV1p;8=O}^?^*F$Gm%YX8)lGRJAQq07e#+i2;Z@gzT@i^5&f>8u=@U| zt46geZF9Y$FJHgl7Fb|K|3c@NsOhl3Fi5A9U4OS0B;j>VxZ}LPt?A!+kF?$RFuN~K zSU&V$Z;1VjnRZw2%6kY(92(XaZ1bf=EccS;K9>-?%Zmdn#udpf3FyTDXXV|gONi@Q zl}C2=4)z69q^`_Wr;`^Kik>s^O=Vslq=&xK!S2a}Dh`Yra#QCy> zwZVfNB7Zm-nI2B{LxE}7p>|!l%#3DqR?um=8N9CEsd%D8^Z|1B_ML5R&1{PE8E<26 zvn|fQi6B$4vPMT?AZZP&w@TZsNuOw+>+&fdhL=Qiazq?Xo|It+sVLqBmVEEa%S|(#Dn=GItYyC9QMxV!O#4`$1rmr?bOtP6>T2IDSEkb< z&U1*wp|<23+lv9X!PwQ4R+{5c*;e~X#yYZvy@f=^wmsb#2F5Et*4%}6^1`r&U4N*t zJ78L$?K@3HX^8>SJeGBbE#BGIS$UGn{l0=d1V~F%fY&ES>Rh^}u=m|_m7m)BslVno z6?(#fUU%#!h?ON)A21`bC-Dg zh*Y1^Yw0n2+4r~TwaS`t+4jC-nZqoLJ-ykspK4eQecP_Cp9d~kb#>USFy&59Uw-v> ze}x_0zMH3}P@iB2jO4G1_2qi9UG+Qk5UNCqEZ@7M46P*XO4~Bv{Fy=8o6U_ryFsPa zh>grdJLk*gjmllOHW#%} z=shK{e;kPzO>MY+whT_*5Psl#T$i;RtuTkUozePRDPY3MccZ^M_QhjFP75v=J?7!lq?*1WTW4qpqbn{uWoJJ zJ!i9VEm{`MdK7BVMf*pAm%a9qj?nn7w4}Z0`#m>1s#t+N2yc~?BCU{YjN%?kP@9Cuu{33(CjzrH_1KNpL)xDp~|A} zkJyn3e2VIbGYo#g7F_kt{9>ds099NL%n2xd!bbT)g7G_Qir8btA3z-3@YnIHK{oxf z^jG7pi;*eK)>4-C^>=#HT}uz~@A{iuzASl*CQax+n5B)}d%{cePj#b@lyXwEhoRcT zr`P{LS)ZwKNw^dLIR8d()d$AMgBWFHIs9(mcQUCT|6o2djF?_OgA*k4$X8Btkw)U5 ze@uS`u=Mzuf7jonzi<-4?(J(ieE3nFcB6Lh>8{Y(2vbjA`|;CjBf9PgL@QHKenZpN zLlg8@r$_l2t|xdm+9Ur!IV6{KB^^6_U}f|f9ce^YnvTZgd#sjb=z#urY`WR9USFmK znyolJ^mhNQQHuYzY#Qk)G8Ja!WVcu+mf>N1j zH+-<<4P`nFrnQ((gC(||dfeFb<4-jYmW`Z7f-6Sh<3~$ghBmO+b>E#1>hSF=m6NTZ z*9(NOinZb z`JovWnjsnLcD~d+Gc4Yli-QtlZ4LZR|L^cO`r63Ds8(@kS5e6WIQrp22sQm_zI9T` zoIP}L{p3e4Az!AavLajFH&ht9CrKaNPbEK1_ttc06%>5wbAS}XDlJuUO6 zto?>Br^V(^=%9ki+B1|j!Zl?QS=UvyKJVpQnBRr4hQW}i?cQnY#pf$Yra3D@;SzhU zzDlso&%9^*D1oe5WnnxELc-H0qN;yt>A}_C-}>}b;j*#ePbZGaQ-;Hf;7?X~HPXL_ zA|gYJ+h%34B}mWjqmbB<7%wcRn(@i_=l4=f@>34U^?0YwBdMs{CvNfCPb-_GNRQb8 zY1cxbxLnuWV}@<7e)@?Ea(|z#@PxoQSEO>xrc?bB7vR6x)BaKN=|Uz?YxEM;Wx$7p z>?=#{m_d0e`&ZNJIxo4&ZRxdFaz`&}Ls|S&2wzd%YZTY9m8rjlf==#iF5}O|p%6gM zc2#g7t_yl~iv7qki zoCvv=H$nUM2at9r6%I&`YiG@e4ZHoJqt4H#3G(82%1P@@fW3n;x2qJA=;#q0a)`X< z>ra~#d_g?~EN=qp9XW)t$t2J@<#TJAzC%W6dC4dvagMthz4jS@b&Uu$2yVoIkCJ>N zDV<=Ii{FZ^pvCA+a<2*8`@*TSy%?k)?TnZG0z)9TslC8HRya_x{$e85>o2CYpHp|Z zs8&N@QmfEpcc%#IlTLD#LVDo~;65x0W{ONEZ;~nQpNO1}3tBW1=%^^vQm|%jd&gw&VF9=#EzP0GuH-)4|$YgqAvi05O3bK6qc15%x z$cUx@@8&Ip+-?*Rzb(QwBBr?Wse?oJR8VOq$Kcl|sb?nX|MLgaRVq*ZxUVaOTvG3wg4P6|R?@7wWB-%-)I3Bq{Bf{fU7mioUbY`J}t{)(D-c>?M75d@}Ayb%MS+ z!7J5~8A(px8`VJ=0 z3cooPp7^T&XFq#Ct5#uS2OKDzMlPpvWY01o^!eviMh0_+>NGj;k)~8mGIMp zsz-&in^RQn_b(`}kdc8hq5mT?rpl`I?HPrRi_tJgxt)5MWA(C*|HlUt-_}QE7zkQ) zbR{k#XTo~BBv9G%GM&Mjqf@8rg^So1qBJaDy_qZPCk%5@Ts^M3UXa8=#K1>J!DSaR zW1sRfY>n%bZtTZ=C~#fOc-dGm@vu`p6KH>VCKj=uL>@^W880XA&&o#dLXz)>uE%g& z>lfHM%^g$UMs)?T>+*6q7OU3Tp!VX3vf|4YA20XCjCGG5N9BRDo7-ch3?*T z)F}%1Lz`uOw+797nU^)zHdImkSL7#x3JFAVl#D+Nw3xNe8UaJEvSrzmBs&r(G5oLu zRv$~D$~uC342c9#L4L%cbr7zB>azdx7xR8elt(FHxe}G0cqsL`yAbTv-gFgx6sSD2 ziYZg!FlMNj^~(?Mj{Tf)GE2ZE<21+c&z@@9znY&tJ##QN%0xpBA(VYAWONOl+5h1m z-e1YS5MK&`?mb3j`c5E}*BT@0O3G*n=;z5+=|9$LQbP8!S+CV9S=RQ&@!yV z^mJeQ^hJ*>7%FT1`VWYYeNt-4mTo%Y`_U5ZtZFw{b(=i5^7hCp?Ddylw>owUN1w0S z3$~Vng<3n$*~k{K{g`sh^bK$4?yFX?0ZMT zBg47uiirM2t(ilK2a?>d)bdtK6JUs0CMNidT@uotRw|g0VDm)BTIhB}bU*}jmo>|p zEh#|SLcjK|sC0UC z`taqigjYneEhNO-Dq3uA-CE)z@=9w$W(LpH5Yv=V&r*=@#HNP%Guzup4MNO)89sJ# zi_xh|(-9GM;jEGzO}G5=>!Ijb<^Dt1&Kjd)c!O-2rKK*&@`A&wwU-wH8DrnYFT@qH zcG=~3f8Dgd`|D>uA0G2o=>9+RUq`J+c1sTf#{bWtoRa*GL?wXh6=_ z=Y)^0{PNpq40B=q?X$x+ zYj!ZKJvRugAi%kF671ml-`zM&pj-r@v)?t@HX}H4yP744(?x0p(d4^p8EFcY)`F(D zEFSrgrwLZO9gCzyH(f-2U-*?zST_n7{b=eklM|3^UdVwlP-XVAq}UCD zL@^WWPtI%qx?vCm(10xLY%m$9e4j4I31g=8F~hELzC+=oawxyjH*;+%k|(UQ{IG;_ zO}?mnOAkX%E^M*TKo5i#b|jehiYsvXjRBjDj6~!3|Aw^aW!}lPo+^Ti_ex6^FY`|B zI`y02-O_@WdB<-;qolrDTJkdQwfuBp!FcOL#}n6@|{Os)^@RoQ_P2A(qjEc0YK@mj(1Sbyka zuq<=&Tgstvj-Fd| zf)WUwh4ok*4i{Sj0gdGrS_VirvzPU@%mw$?Amaqq|M|zgqG&kM);d+oqA20 z!>_>>o3**J|1>$)S(jUM^*E?SmYqxIa3FRigBK2~eIZS97j7tyKep?OSs(CPPOd3o zNnCRDLS1hz=oqrS)3J%noh5_Imvoikygk`>=-diA=Dp1TwXRVYEAh{VdW-K-j*tsW zIdM2Eho%Y3fhL2oB}Ru9av;7#@l4((M)Em&%ijyZq16k~%We_U@}3SKi-W=ei{l@Z zZ`OFV>m(prplKFDnX8hbL6R?+k|Jp*k55AQR0#1S&P0qW`I27L42@gNWO(G}wG=H9 zYdM4Rp}PI))&L|!O}s&hlE+F-PUjqZLr#79R>?y<;$X-fN<}1hlP#A}48_7IPOQPT zfN+*g*p01Sy{s`Km-X#ABTTqj<#e7qmO=?Ny%h>h%!JM6a-&$`ZB`Lu1>_ki5D|2l zvl%VI&{u|xwyes0481`{9L;2SuE@|xdi#=Z$+>*1@4a}QFJa>u%*~KW;%dE;PneFi z7*YOl8_^>dzO6fh-jW+^mJ^%3=+MWt3C&IenuFL4&oG2?V<>-ZF;0|3O?+ObY$aTHl z3Ya@_VsEsgpGv`Ep51Hf+O48|spb#0Jip4~HN5 zta+m%-aP{u&y^NeX@6W7%`O?-#Ic-9V$Q1D0O}CoAXHX&pC;i5u0tcH;{7nXLf%x< z8#VC#cQpL^tMHBbL^150o@JgdYD0az!Li`X_ubd#NO099-`n${8oj%hc_tqBtl~@t zKAZbyGg6+L5Kb*IwelymqTd3krU?F5qSJ!u^X9y(;uo_fx}Ln=TO$=>Z`3-37GM4b z%0YKNbUdZ=dfm+WECHRXTdbz05H>#CJgr!SOwZciY7-uKA^<2~ni*aib zhl>~el3XXbH&FI{R|Ju3%8V?`-?7YbBjK~V|5`WrFITYZUJpj}wO0EJQ-gR?gBTWG zNiRdLn`s4JOgqoNuEh8D_1N5~7P^bWO@gVuGQ@1q%EZ>c-#dTwh#ps7TDtoV@8C{& zGoaPjhdk{Br_Qr@*-okldH6r?GKr%N#g6laWPH4G7dK;f6(~;*K9dy3v3DJQ97?(V zkP4m4IEGvC;=YO*k|q`r;RoliAqrNT5)SFyg%vYWVMwS!tz*(?OzK$z^vxIH;+StS zJUG)d;6%3VK2?fs{3S?1AiWch2?M$rV}@KKRA@IQW5S4T!v5k$WU%7$C4#flC-ofP zy%m_x1ro_mlQywF|H<#|Jom=S5m(+9^UA<)mAWC(g-lk0;F~eJgL~_phY2kKI?I|0 z$(6pQiH)C4=YcZ34&V%(!u6Z*pEe4iLb6~ zH{yu0BPX_=S+nv&&tDAAHA8vv%e}_9_{^pG$;$@LYjj;+97plsPcxL4DDPh-JBuhu z$*tybZ<{rbTgX+1q6WN5$G|C3lbQ`~K&wpsXrjqzE*#+t;y4BqMPOD4&)s>ci}@FX zY?@T_d;4XTUfpfO1xz%#Zn7r#c$oK-4vAmw5HEQ--f#Cmy1|w52%0>W7YtiFov74o zPHv7k+HQi6p@KiFdN@mwT+c9nk?PvECYOxZ`KBex8M=sXmgrxV7+Hip$J{E`yDpZx=DcsO*KU+zYZCx8?r|f-tJ|L%Y^tZ~LVR<6 zr`O-4H_9X^l{!b*27`z9@(bB&Wy>5(_UPtHD8OUyA2)R&oX_(3y1k2A{XAdHQ5?%@ z5ixpVEH<2Y*Os<%gkIe2W%sM4zUCAs;dqR#7|V^OSLJN&8(SsS#c9dk+ayi4GlM~Y zd+U@y3p2&s2zE`Zm6&X0n0MVN+sVes5lL<@qu{FD$&F?!w^Lh}9nYmvC*m|qwBX5J z<}Zdrf=$k}OISy9+>Tnil;`ky*br}#_{Xte}kr!qWI;%^=aELV{ zTC??KDx=*O$AK5=I3qi-@wJ_uh}Wca|LLuU_hl%lCWYbp)OT+y5x zNQ8xOGM^?A$Cf8n;yJwJVkMRrx%({1F7`b+{>s`h4=bk&p=OGbNDM+WK5PoXP&?mB zFt=UfQ2Jd5cf-SrYt|-YTZybef>vFZ1W>VV0sJE5WSC0l)@d^oo*x zB+J}36&#I?m!-9sp9Iv+QIdI`(@2`hi}J9-5~vSYAB>}*w=2UqWDrXQru-)H{WGJ! z;$r0|ft5sp5ng6zk<9>_Mj!&m8K0L;eHmxMK#Ah@V&c?Fux_w9OIL4+;HBJU`Ft~Z zO;S2k2$HaR7_~tfwXU&whcc7#_2zj|FD`}cMGW+qZ%)e#C&7+REyP41gO;uIncPK( zaD5>_@Wi-egnw&1I6sw4&YFOwn zc-wBZBEdN+db^e?Y};Q6bB0RXy1XkMS?{r;{vgq{Qmi6xAvIOM%A5y`JggiAbL&O> zU$3&_c#r*%SSi+(C(d^EcMYkG`BZkQYtBkXX}z$bD0RA!xUQz_%m^Mk!nabaDjanb ztPAR_4}p#)m;qJnMv065BU2o7d0&!?zun_RSL$8WGM*K1iSH z?wIF2r$e^7^pI@5xB2A2(|w6O7lwX_5rQ#7kFIsGW`%ifHk0pJB#5Akp)^po41y_@bGiCre&z{){d$m<%w+Mx0TbULA?N9& zj!%MTM?lkI`+@l`R1JjHz#h0IU;R+Ga3+wJ0`H6tHIYl{P$%waq)a@|>!%;&L}EGP zS?SFLl5>U>L`y!M;n*d4@LUjI-R({NSs%#3`g$x0zBbmU~j9znFYtA1*Cc>&%1U>o|1iKKb05=at1Q_@IEM>TvQJ=9c^uBFb~ zInmdrBFWf70t#1g?@n|gAp9M+#$2Br$#smcURL^qX^3eGt4`6`Ceeqp5;!6Wujcrw z4wY-u)YQoiT*hzA!0X99i3psDUqHN&ND;fq&a0*_XCp+KPWy?Vxtw7?x1WUc`6!&H zS8hjvN+e4WFV~!sxFX10H1t}$?trTWGaO*SOc+*-D};)ixQtsDsABo;WtYCAs-8O& zPovl4H6`7Sx&uaBm-eIsHaWDWBD2>MuCMW-Y$gq>QK(3qO(q=D#(`)l51`XNy&n7V z{bF7{Onq0J$&c*?ilu#$=g2o_D%w3=RFjvHnPe;l5(A}-w-aC3GygRUo<R59C&FUIsjiFB&RV?rZ}Frw}AO31fPPf(cXaIW8@r;qg26?8bhnL7K; zX$70G%1`II*&{i!;;SJSr{@Xwi*hx~MKrGmEb;Y#0kZd!H3n+ALdJcYeIA_g>jt@Z z-Ezqh7J^!0R1hJG_wka|U#$010J0w1<2>tY1qYtV9eA6ab6OH(s1OjbX(6_05MRgf zzkQJG3&+oxdPk3ZiKlFDXZim=eE5JVn5##0AHGHaeCRe<4Ge-4TTYJ-aqa2@h=TAT zitTghEFQdo0d<(18JT`tLZtU(YC-g{2<+pMsl3374EU;&doHsb6#tfqaAviVC}I>} zMZfuF!@~r%B7!Avd6_N>nFtz{i)!v$y31b}gVJLcBMGc&Rw=P0mc8N$nomLtks|d? zjj$19f6Ra&wEl=w@FL!Vg6uYMcGLZM>Ml!fp{5cvON~nwY+jwZ+|BCGj__Bd8n&Nu zuPqe#pSS1L+A4)J+g@Q)fwDhF&IuaaGOPA&FCkV5+yaYcZRPf(l8R0eaUT+B?3F`M_LsTs^GT5&<=Bt%5@; zKZ};N5A(bOBga~Sfsxj?mPi+$}aKXy*%yxf>#CC+-9XLq3qZ|bR? zq#u5ubmQ@d1JEWjo6_u99OH3kp1#|AjKCawEjRH$%UaIEL5OM5x^s`W$8YwQ^GGy%LHixW^N%p*N;< zsNENaDuD#GvgKH3E(hXj+I#ZLyk7rMyD*GL31+kEHJ3-uyN)OQ>jM#LSBB{*MK`Xy zKbAn84NMMw{@r#Z2PapaA-;wj?e)_#ixAavE z+Qq6SLf@n|b9hB;^+LrgH;qef)jc84m_%Bdtya{IsF*IZcAuY?nO+j~b!+lVC5#UP z?#i8wBZ#x?g-B=t^Djt=WXp7(R&@`pAv4Bqe<#E{@S3gx@^D_&(<;32NeVd4#hbTL zxoTVOifvX6QW;d=$L4%P8FITgE#j1ahW%;KYJarc;^|@=_kCiC|7bafLSSgPi;3-XT^Hluu(*0<$^{%LI)R<^8yF4?Y)R-JS z*6<#gy4C*jqYFG{E26EvT#~RJ3YbMC+WE1v1rKy!NSiF7e{7`<$@9FzS{kjGoMevB zm4CGS|BHJiEJy-ptmHmY9$3c^xg%z4z2^Hnc4pYd2dBntXc#gcEnr^QV-2~1nkRCc zQGq?4mAw5TmcceFhwQo#!&NL4nn^*Vb6~V@&#KV1NHCge zs9lxr2(aK@+V}jo;@0~uROWM;E zM|x058_8i(kx6e)e6LA^COKv^!o_U6J2UU49S6ys%)y(B_(n(bhFu;zn?X+UwitKF ziuv5;=mJOSYA_=-XP?P1$4ra_X7XlKEkja1kcL-ur9%bw|FHrRK~y->ag&v)OabiGkNy`pZW zE5K4dWEQn4^L*SDS0#y^h+#m=0Zd(JM3}784*B1&gFjmn_i1mao2auTFZD+ENxrro z?H+F3a+3)ivfxXUvNfqkDkk?HtJzK$-#Jl`FpvqB!Hhy#@~nm6w0Np*`Zm=~_vNpZ zozW9Kce+vp5aIj0>-Pw~xv)ov2nbNPqij{T>fSq)97W#|{hO2!iT9lo`=PIuaO1gz zn^h3!LUK~s6^>QDDcAIbzPDpaWtE~ZOhTy=w)@wrr2edJUAFtjFaLdGCktlZ7TaxW zCkcPQDnj}zilbB{WA~m(9(&lG2#wG`F&Pb+<=^{59OPxUbPSXDnI>eDohu1w?UBcM zhi!h%wu~b?@s=;wKj?4c_oS7sI{MU-9nX9)e%b#9i#n3lcS&X^yVWKG}hczZXbCc8RPFMNl9 zbaamp(IHb~Pv?axc^nVrWh_D3iW*^R@clYMa@3B{OrAx^oY#pTb(ddZx`iX-YhRo$!*@3V4CaR?$W(iNmD8x?U zF`mMaXAcaH8(63Auq?-(Wl}T(Q^8#b!91g`B}y!^{^8&G@B!PG(;lJxVy2RlPaaS8 z9y+71%RV0f`O56r(pmA;G5mlCLV(qDi8S&w8Z#c5k>R^kWpy+f!^ zZ`FZbr+o2eTQ7Fgt=Gm@@W<8uHD^iSm0oXb&+eEUKY0YK~}56jG8dvi zhguMhWT)NN1DDInbZvi8%}(PMJI(KNr~{wWWSG8dp?oGGt5&2v9fz?dOvS|(SL|a` zux>L!0riw%(YGd3pG59t6lza*oiYJU6T?6{>%xATp2A@~p2Bo}cEW{|Jwl_sKp|i-I||B8-ptlNT#artO2Az8 z*|qXqHd#rWSb09*MTu2sZ|yZEG*in&a>H;G=21_<7YgRGBYirVxp=FFeF2*xwmd%F zndzG`VDDT&b(l%++TY41_`{N6>IM9$(b>&r9QVm70s!Gxe|J# z;DG8|XqZNiUBmY|;{jk3M{puUAMr4`ph397L`KMSOUP*U#<`SFTk{QXdN>3VohedH z(!p%C1!_&eaoR(TvHp&%RP1h@e~oOt8exL{F>_pis>UV@ibp+tewaDQe^2Q?Ji0J7mc4bZ!DWs=cQRUzj!mfjnlH^N{`&gnOo; zp#uJu(!=r6dXD+5@uIv1$r|+owKM>o?@UlpI3#np)_7t6nH_ul!QZ0P{*P=gaUC*+ zxn8uu|3QhzH02r4><#-@wh=dxNoH@%>^lsDjYDR(PUIM%j~;9(LXch;?=oLZ2_b*D zA|Y^yUgcxYQ3>MIhBopB@Roo{J#GtV2-ib1Mxq*Sw86h>!?l3Ny8ZHN4&;}=%50qN z&tHDI%u1M51l5frE!q5tqMIUK2f6NR-v3zK$e%c0eo6l#bmWr!A5Kryg%(KVgJB30 z$sRhq&GB3rL1cd_9#=aO*Mp(;?#pcCzEGEI8}omEv)cYuwIhcYS#FY2 zz+e6B!w2U_-IuJ3P5h-6q13kD>(n<=7b-qU%`fKSGJoZ z3t3Nf&(HdS5@|6Zhz?E)kF$?sWJl=c{c>xt=ZaRdQ;gxHKWY1 zH&Qf?iO~ArerBAs$OA3pCK`hT4d>Vz0B2sK5DIRc6CR<=&U~g9C@>;FhGHo$9>O5B zpsZD*1PZ1u(H-?RJYjcwn$AlDYX_aFAh8Tha(ceGsTcIlJbHM!4{m6otcD%~IkrW) ze@=R53SZneQEHr8qItr^sS9y=(QtEOOGkt=LL%RFP1V%+7pP#~zw-JdN_kAsKhCv` z5iuyAjN4R4G1pN~WcPt?$$D%bR-0_SRs>^D#VvT#nSh(DfR# zbCn0(EC5zy&~qc+h&A;gCuQ)udQn18JDUDmzsFD+mv?-QaCa1>{;XO(xBx^{_EwZ5-DrdDSS5T@d5&ql)&uI?W;*>o}J!4*Hlk;#0etgya}Gfkm2+RJsz` zw^!4caSZi$>l%~qL@#`8B+lx#$?`Eq(Fk-Q(1pNM5N{*^=Q{=z4v~Mh#G^=ALoncV zCt?$+<%AvMQKCV-yO0N6mw^Z(rpZMkS7*5wk{*eHEdwok7`YvwSrucbi@+C}n#U0B zavvAL-!TMZe=SpNRB_}TqB_RPEfRS+R_+2@vDo)jeZDa)Hzm3L*v?3vhRFbV;kCw2 zV*)NWL|rXSVwKNU?ufKDemZ4fZQoVDN_(vBpDU&Xarj!rD|RE za8Tixj7s!XGe=abNYjX_dkf0T8>ESXC+`6RO`gpy^(<}B@nkx2{Iyol>jWUmph6kz zYGPSU?I=FoW-I7ous}GI6L~{Lt^SORbRFXd`S)U3PyZbA&#r~hhQ8Ahvtiq17b5!b zsfvkc=^&ABjqU`eFTeV`Ut(c284DwjEpL1zxQq#(vqNqEvU4hNqijq4K?GR+*HepSur9doto~E*M?Osjn^w6xl8kT#eq#6 zvkzUx1uYsq%S<_1w1}+B&kQq$JUMsctyPv1P^I2 z1k6C~6bs~su0CtD(K=fz3_-mlkYW%%U^dVWiR9UH2&AVjmUm-F57Na*2V03+_6TK1 ztTEm;@KQ08pq}s{j3^OjEnhI-4mhI7*t5vD^H@XPQ63bIY?LO79>jiwA%pdqI-4)Q zE{o6Rax#B*jvY?wn&Ct>(*`Wr4`Qs+fQL>2k?Y_6Q-&wC`vUV=qGp2lA<;%Jtl#wU zLR5iy@hafW!>2X+c86)63nVdyLB1?naYTLbJri4p)wVt>V02Yw{88jsRF7TBkjPYU z`bO*oxg?-RJmF=$BwS|~-r)`3EK+`Bp`Rs+c%^AHCKFTtUS%2Aa{h^=i7Kr$V<%#6go zuhJ5?m*#s~?PGn+O^vZl?pa^i_$BJ)BsUPrAd!AZp`BrQ5+9xg3>_1z{Nc0ft9)2Z zeBRR%U|B8i6@T=xrUlPOO%nV}B2p8&IM@tU(Gonr7a93d25i8gkW@y)YI$#SYQFsD zARUwOa+~jhIi#m!eYxBxPFUnX7<$MHO%H`*e~WD5DdJQ9gzd3t3hcG8UB=n52-)Rh z{nHdG_0TD1vJAcM21aJVkiCAUFf@6l@z z=q$BLoK+aYVN7w(n7PJNEtv{T#-2zL?TMiop1aU)-gRTGjbnw>yTp`)LS-uM&w4zy zP5kbx3_rRqBQ*0Rdt#_dX)s`Aqia^s>|L*)6qtpR1uDwYFeCg$a=ku%PXyE13}-VG zv9hjB8-D1Z5V8dV9x1oWPr{w$Pe(ZDm#A=HBtswTbWDdY+(<_^Yma4D(F!Uh9!VfN za00ElP=_&17ZJI)G7*b2bR11xN@+UI@>mx>0~zYR|LGBOFM;pPl99=e^<|X{RhVuC ze3_Vf&|xDV*S;wt8s}v=-CKAa_QWgY>B>w6!?Le&I*N-;M+{@>x-tmXzx;P`Y!XF5 z;YeXOcs>y*4Gq9CEfCDvrJ~zETh`H?^P=I>S@G6?E|m zo5VVMQHr)^F)M~oN@dnPL+fw5rQu$&?|KL&oW}J&*TUpE=(GKaNLAYown?j#6e|0t zU``+Vy*v7M z=YGPJHCV?GxPc8(yf#)61w3g)wx^M^s_8gY<&!DVRZw8aes#~AJhFq+>sfGsrd*@s zK{nIHT!u1cj_{iL>1O+4V_Ik(jE+_xmhG$`)$;miVo1!a`MjxZK5wAWP|bGrhB2>p zZeo|dA1+j1X?-*+x!n=hmzeUOB)9Y?w`1SS^+llo6_}F6WdCEC@ld9?*b#w~uWoP8 z4LL1s1aEUZ`c-8L-`jhb;=wpz@_^hOVQDqfDXtB4KiR^sb1L~v;h8!9 zz7|RukWa5O0eY!20gZX1h54$*vdW(fY_IgF=e@H$Ib`+zdtdT_MtzbRU3N0o?_8S__>A5Z8%*$z zBoJ#%3GBJkjwlR7^r{HaL5m#91Qdae!Gqc~C`TgCNQ*qQ(=znzdplpN`7>=}-$CU? zCG@FPgJh5a?YNtHmIRbP%(Ja)RBv0ag%zrTvf36+L3DD3|7^0yuk?hec}ti;oC;V7 z+8y8X45-F#G3EW^I=Pq9HpK-~*4}qzc80yP%Y@(^pEF{scL$Q$jN3x(YfxYqFCB zmA>ANepa&;ql|Ul^3|sx1g@!gQSRQFVE@UVGFX-HfNZSXW8bav)4i@*K9!z!j=^)0 zb1!?^;;5v1Gu@xcoS{AzPZzn%f%e-%n^=5W1Ww(SIO!i!lyeX-dLnLw!#ePrj=;n!cKThj~LKC3*0B z!Sf_@!9E4UmfaW4KCc+@={m^+gNdE?%deM2S0kujoiCl}lOM6l-b2(&zDhC|%`mx7 zZb}#as@>OHBx27zB=L=UyEv4>2WAPS^siPtWER(la$0TMCy5eZxA+eNKJchz3p(kH--X$I(qWSbstEB8b7%2DIi8oKapu{>>F?F zn^y{9A0-cTwV2GBw@RVA8=EohBk$EdN@1@)5Fhz{1AuyjRGP<`?qZPA_lb9%1!hE|G0(f~aFEFpJ;cea z0zxciO#Eaqj_upxWwkN_gm21b!Fut7m)@*?@X5!(qx#qo-Y1`J3eVN`OZz_Y-s%%i zX5=D$XMan)yj(w;KJmsrxe^Z9I0Min!RyE0-}G(_#)Dx9KT^%1s%aPWsMYdr)nCPv z2>aPS!_I{svv;;+z^g7WG=jwgp$~u9Se~#|oe23>*{kA6W70n2gyOvtY=<(-dF#H) zGpB(#B26JX)<5=WWcPcY3Bro<#rS)Bo55;UGQN&C7NViH`BSk)(Z)r==iVBmE=2^+ z_VVR7&GusN>t~c8gdEx7%P;8x1QTx8Rf1Q7JkUWfC4QhwvA&~M1ROrpsHi*`DU9HW zxA@D<;dR<7*L;ERGG8Rr6fjp{qqDcZ{LNBW8rQ`^cxn#?bSu4%S5G4WgF?fzt zcJ}&t2b-p>pQwG)&&S?3-QMZ;4XFir=ZG~QNFI8Dy~}wUgKnbUe_=D&f=;0a3=F0b zMi8}vRlFX$ZePgrJ_93^h0ngT>s@BwGe<&&6P6oP)js_ce#Vv{7R3VImB`}Ld0np0 zpy2O0vosSyy9k-p2vwN)qS!)wXWyZ$dyCxk&I$(Xnk*)En{`ilHxxO+F2W>u(h`3- zJW7#7jF5n&$81$E-(6xv%n4*6`ybR}thA>l9}CQ&OAES%`f%BIQrtaV&la8rYGsFd zo!5Pqnt3wf24FsveJP2Aq41vN1Vd87cr`iZ{g%(Q3WNpIP#Pt9h`3H}Oh!|{_~grd zpKFc9kJ-7_x3OWoOx^y|KQMqc1kfc1y`c-N#X`u|ax4m{&Aj3*JtvH$va{gTESG#nH(6TN>t7!bn_^v>DCMuyiBu4 zRy55%CUzCbcj0n)u|Cgr`6T}RwEPvOL3pR+=@w#=shGB_BwkPmv;3P?@S{F&Y`O03 zIw+wpi72v@b2=06n&hTrd%tsI>*1P) zV3R7uo9mg_L|9~)`O@Q<-;)}pmiub2x=LT>R2?5aTD?{+>vMBanqrXf-y^aep^6;RN4-?WLJ_@>;`h-nlo_p zOtf}Rl(OE^Axp|T)I|8|PCNr-_t4w|{3W0{uJE}Z3O>89HGj4#Ol~QU`;KPgV@5WG zTVL}c?=4~JPbkb?e0$5ZPcVaCFEV&T44_!MSj z$ysh1`AIG~jr_Sp&&iM``>A@z`^Sv?KVY9AQdwP&Sea0Nuw)(O3=ufsI}XCVQ|#I- zQveC``=+iH!dJf(UG!q{WlX90aGcU9oM7@eCs`e#_9YixmN}WTz}C&g*0St28wS%2 zzo>d5NKQJy0FT;mhktFXvmsxF3eKWAH+$MMW23>!Gt2SIn+p@0rI6{Q_y|N zmugKLJb<4{n+RW#pK3Nmnn8RoCLh{N?_cPg0*tflnrb|$L!5A0nXxMWC3YZVASgQ2 zV|O^pGYkIl^dDbm9)Gv`Fovc0dD>k|Y~|e;OYu%drej@drkG9in0_HY zkg3wCLGmW7=R3QR=6%*8^dF?cF}1ZfmwH{d`6YiE>MIFC70n+=nl-0g*Vx;p6C}c% zaGu+x*4hn`167FRcO>Q$&1FxB&gHzapS2glJ|QunVBs8Efs>tz4De$?feT5@F5BRE z{PL^6`zw+FSJ^YRKGwH0Vqt#A@&hT0EkkPLX0U$BpnD4$>(DsoAuxP(T5L9 z8YyjKSGCg`6tc2C%jadM1d{xhfa65l#>sWsNmzq*Mm;x0yEBh7E|dnzNi!4Yc#f7i z>PDPW8%d)WSwd_tXDUHycq=tsuQfH)$+H_dd;zO!x>mt>21MKJ|%L3y=(~Pzp0cfh;`?&}#)yF-oD8pCOZOTY~T5@f>@l0Lj1_ zd2~Fg^jUNfzFt6JDnuBkMhpwc4_}ub^zxyXK7$2&!5^Y` zq=wd`;efTY*?YZ4k*N`ZWOsFAnvlLe43YueDirk8EZpRc9*Rwkd}4J~D{K?19p-8D zy8NV<&vW5mpkqBZ`TEkK!$*FWS7++ZuQiz%kuov-&=KOO}$r?q4q^)rR~pe`rEZPM2dYEF!AhbnOq7(4n@6Pj!gmL17YRAl7n zY>hB~CJZO&Gvmcckn(D!@=jPUspHX36wHpPkOQ%GtFJY!ce_}^W~&cIkUJA}qFeQW z6wP0e1^ujma=0#x7;h#98sn+0k6-O;DtU@DEJ9{I(`Ry2si$j%V(Glyo?uoH`Vouy z`8{b<@~`$#-mG%XYX-}`Zr6%B&sS$rUdrjAGQ6wVQqH04LWCgD6;7Fn@>-IF8Ydv1!n&NKMNP?3I}tMPZOy|L@Ow8(KVD zpcn~2(uuZ~eb)*pcutD&hMz16j@U}< zBRDZzCqJTI;y)J9_sv-!NK7K_<_&Px>d z$!_--!GCMd0ve|P7aw8kPzxhICtURnliq+dQeJXW&MKKG@f&!?+XF#4iZ5nGzKA1!@7hoi+D>-^`9fGh;rda>o#s1l!eE2|sHF+*U37;9RnGdk&n1ro#Pl*$< zziBd1!~I8jBWgOiR%j$zn0QY87*zH|wp_@Km^+W^RlkHS^y1S&Zvpvq$_;icF-IcY zqZbpV{M)kkF!t=`%U=}x{g>bHH4SD@C6OW-`k}4)xj{enQhjkm$|Xp0kXh07yn&w1 z*Jo_vU19HQ9Pwl-pa1c?k^zHw`R+3n*XHteCtw6H|H^lK!T7ahS8_2jIJYZLeF-5E z$|^dbP6sdJp318x+IH(&-sPkcb^DlS)yo9tVXS>wfQ0W8e{~{Xz)a5hlE4MfT((7R zAHV#%$)9I`dA-uHzJ6Q{-PgO}YH(kl90^VjnD_Zt3Yd-ES7t`)^q#&GiPw2vOt<&- z2ex8;czsKDANEZcvx9uk(b*m@$(f-CXd=~>6ZNNwe9*2 z8BpJ@_H6LpU**8z>5(1jB>5HLyDz^jv298L->@XHc|T^y?0OgZNtZp2mOWZ9@1W^q zn=jG#%Z&|l*_$<=kK?z9hvB^J?DZ~N7T+=>U#zRL#u0x*emV#1`aNwgcd#P)JMFfL zIv0*o_xcO(`V0U1i{Sc;@cN7B`is~SM$$vEUgsrAnQ@@+oDw?Mi5}mi-f*CWt*I#D zR6s^LiaR?7M48a#ozp&%0lAXI+s7||D>y~uR9$DzS)QQ9OJnn7$wg09lbzyaId$1e z?+7gLjbaYDzzZ{J`Q>l7`D-P_HzbW^o}Nh1kVzC1%6zmn@yp`S5CUfQ4cp*jBX07R z+_yCs;R<}3h<;gY^W|?VUiNCOm54-APK!O}(B!ogOK41Q$QcUb+hkt7DP&SrM?D@i zgC(~qP|;W)+7IhK%XgMBB(`@E#TOBwi=ow3dvDFE_g z$R~m}2@4yV%F@o@x>nHD_XTV)zF8;86)-02^xV`JzJR+fzG6^PSE)%RLSD9QQX%)j z^^qwh1$ABA{El^&ZJc}gfWu-u!Py` z(rXLi_Sx}huqqA4u4A}p+oO8id_;4kHQwS@^#Vt*sg%2v+z#t}l@-)^c4u-WKiW$k zZ8>>$F7$$_%cEdlo(js0Z^?wcAY`;kRw;*B63f+z^yFr;eN&b|*7qsA$hOw})Z7D-DVwVXL`*1%rO27s>Vnzi{Ze)UbA_ zB`iVbO4~qc8dVbK6Q}2VJ`61lME%UN}ilH0Ec)KMvxO35%27^*5 zh(+NH-i}TFgf*r^OMPcWUTXTpc(-chIW3fpc4MwVzfKM(TLejJEmt$6ECbjc|eeO^1>*QARiy-vz2EXO&(}+jbTRm$O;58O}Qp% zP-#uHnaUqONgEJF?N(JZTvWlA`}7GZ9KFctu`^)22(8K3=acm0&$5Duo}_))94jAd9X?kCr)V4h=*f>$tJ&Kchy~<8F zN);GyO7&+j6A1)`nb)K2If@cMVkrZaC<*v>X7iSdj{%Z~PGE|KNT@_?o>19iJL}Z5 zLO@oWg^ndu8zO}>4ar|kzbV7BM3n}F&yzv1LQNJssa>|6{+X@-3X^C>@@MGTayS&( zRRZ6NwJNTtHsqh!7S)g}VwGjSSP6k;?U>QYSOCkS)RrryoS-9GsU&fEEhQu*1{8(& zje?74{r$iF;e)yc5%CPaasREeBd=+j%n=+QXWcc5=0o4(MFH-O0nD4O`XXLuA=#P!H36m+?wl}*_3dIqG4a#KB<+vinVp%g__;$x=K7}52 zWjEC9tAeh|^>-@*vTxB&=ki3wiO8&Zd)4Mtq0<)ze>wR$kpn9uvkzT!++FAaeb^1o z=ral7BoB!y?28)puOoDvHuB51~a@l&)RjB zXDh)*W|aA)wc5Sbw5UG?hAPSt!gC5|bKX_-PF!~qt97$e;xQ)=JItG>i$nfFo|ud@ z-(F`lgXoVL%}mx~R-Z$m{l8f0Y^6CV_3**TH^}I)<*Z;p3FBb>9fQFtqUGlK?OABr z{ZbI-@!>K|Br!tP`Bf{pDkoXYHl;hi1Z~_r@}glH^~ZHXZu3=Ukkm7AbEdXY*Wb|vV{ov34 zWU55V4V#G_DhN-ly0iR_b})pRy)@{PL@s@CCQN{+^&9HR&|OQ>R6ClHAKXHt8xV zV&=mJLbJoj6V0AnJVVVwxdFmfQR3gsjw6~gXWLani8pnu-;L@pis_YF9%_4dC%ub# z)hLl(S+lLht)2GnB1}@{*|wswHqq1+I~UIqbAs9|B$#R8X>Dfmz2tU16ibL+TV&-# zw}$u5Q!Y?2LnVTMOm4<_7%Gv9mHfzi-iuw);r?u=z63+v7%exs{$la62aZk0u#|$> z?tKT)4OH;a)gUqV0E-ueW3I6EX?Uyfkd23-TiIx=po89}^3{$81aDCVe96E}>z#;n z#p_dKVgZ>t`R1*Q2JedV16ATVo~HfmnAgBfZ`SI1qJFg&As>9lYDBM0Raw;-AgRk$ zOJ#Is(;#_Kkr&;Qyj8JKE9OorrV|ExPtL@=gw}D>nz=A5Zg!KmxIJ_In_V?6LhIuO zai~!Ez7;Ii;1?l*;RD0!4_-iZ<_+$mI>z- z>5F-96n*ks#@is1FN9q?vW&@5_PyPkwoQFr)+e%e&M6KwbI8nrqZc1G86);Z&Ukkc zMD!n>Wmk&t2{T0x=!ne{Cp3YYloV-CL{g2D=a)Da+NYwSQQBd8Nw)YQ4w)@-*3U&I z;nT%V9u}$N@~*eD+a2$o$UvO4dAuVcyW>!Lf@cf~zH2T3p&g(Po+IH(sNIt!ktS<~EAh8KA;(cqE zJ+8ao{ki;^5HS2xNCS^ry>IQa-~D;UrxC|@-PrNH6f*fj205$*#6M=sZl5`R5R=Z> zBWZe^A~_i&7hwP^s`}lZQ$k4G{smbFB5I>CNdeJh>&VTn`1@ZHCC?T8JYp0yBQX}J zM(QrCr@Soo8A%!VT+2=&N^IntW<=Jc6GI`kj6&gOA)f_GiWzzxC!zHp|G^O4-R~^| z%7541+hpZD)hAw-D0M8%y`tS&%Ul8o2;O%7|CxKgUs;yyOz3vEZ9Msgm?s8lQlxJ8 z+4Mc9D}QGmX+}awJn#n~A@Pz`l~t9yvMTH5kE&A}3EAC-LCk;#iIK+G%(!KPeaF*` zo3?ul7>&g4mXJo{Y4bq0p8#0{8m7$~65;_^-&zrwky%xH?{n@2Vc$M`@63o5D}H1| ztcbO~Z^Cm2{z6BSl(xQwTSyyGoqWMwHHsRQlFb;(K0#Erkc+k)@%D=x58^@9! zvE(x_!#J%AhDBK0pf1k3<|0qzbDk)aACX811VdjQ(md$VX!^R1YZ42gmdx2vGNgi> zoojRxoYzodpAv^o>qVB_yX}gH{IU_^QOZ^K@Nl*ts+{j4FRGS~5{r4tXF8Wjskvyt zeH~v|3qJzI*uJQ$<@qwTJ5EhjH{2d@&V629rjEv`)kzoF8m=fEr8+hBMBrQh`p;`r zl0{K3x_QXR!?LQnvj2cxpFM}JHo-{c7ik&1SoQ}u zZ|KzW?O>CviE+Nj5fWW3z?{gg33+;=bKzrCckfzp!cj8K_Epzi%WPAE2khc+=J#BT zWG2^S<_PI(va(q3VS9}JdPc_-I}7+m!N}ng_1&QXF_04d%xdwX?!#HawL)B7h^}`< zM#{WuKA?mvD__r0bxp*F4HNHTDU6L`z`2kyi1w%g#^YU1Mx&{=kNEFBz?u;X1um&U z+%}$I_SnTPj>TcHb)l-~ ze}aMaKEA`*c+=JuFw745dVN+j2NwG%-4^*(nd}Y^rr)zlzdcwnzWapU^rWtyKXIrLA#Wo&!1thjAjWhgI$! zUk{9Gs~bY8+c!jd2dXrsbHixU)Ya#GK?X3knb_sOwy$X!Xpz3r77&@3BDYz)p*=4^ zOdv3HZi$-pQo_DPA!?}bNV)(1BXxcv;oG>-5M*<8V?jGj5VXRvd`AmRd#)MQrOgjn zv)B~WA312RXo|8BO*hBr1PwQRJWiW+AXs_)_Ks~uvi)dF$eX44nQT@Xjf({$7TUbD zY4>zQ5|?&$54c1^Uhb&wu5kkANPj$z*XT zU=Yg6r64@4^{+a(wuO^1zmVUC=M2!(;kuAxa^(-@#rgkXQD=miF70|l!+)9CHArNE zMgey{CyD`kIdc-%@dJm9T_=exnj~qSZilonr45}R#qo~kkaZ5{&lwVfLRO&?XU(S1 z5K)E*=Vgu;gWep-c%VLw$?k`rF^$_ktxsuFCxojW@P$$buA(za97Ps`;cV0i>?DJW z!w1R`IeyHXwoVj6x^^wr$pcDGWd~FNFb>8J{RRTq$hTLz9I{A0mB>lSEPjDmf`=e?#E&fz-EX_%K=$qmnrG1DQOyqCzKS zt|NM99WYt5+YHukl>xfL`*D^ypkoEeITKisO4h&pXTV^H>EGF4M5=HT+^6%why`dg zARz4UQFeQrY&3XV7A@@*cpikCf0NVtppvO56760rB1XQUrl7V1jQ{$)+h+|;-n4j7 zjW-#1@pLAUK&u9AuXeP=j5WFO+_)Y>tkbG0w~lri6@f?X`LFp@ybX0nl9{NvuKM&*D6;XhAlXN zofv@}yc*J8wFanMpY)ofo@3C_B<#3Wso3#|FJ}fuLZ?rAO;GP|Ydn@ZUQc%?uCO#+ z=Z%Q(8-GWwfC82|yCfN1IcmF$*APh?igo2^e!pJSScmcW8~ogdfvQM~rXy908<-hk zsyjLDF0@yH!?6+52Gbb_pJTIHyL^Yxsd5J4FGyBy%&lqL{ zXu=K0Y)+EgDLJsc=GktjGzVYl-Lp{$&BzTH7y~rW?TI z=MA7W93$d_Rudv7A227!kd${VE~FhH&H*VXzTMCdo>$0XeG_@-7tW!*ZpD zfp3P>x*RPWN7J}mf96i*=vdwm!M%QR=ZwOdeF;0J#{l1G0RA(I7Ix!V>W>9Z1CS$b zu>g`)d~=L|=peopee6cyTo}pwD`aY(@_c(ehHK<>(H}3`o?PdqLo^?tMc7YK+&0Pb zhMASYDFxpmiCQE3DfL6#@(sBnvn=g@)?|e$jziKwVc@wQuI~mN z{o6`1I6gpW$@YPB#*oYJl{}F7zzZ8DR~nwm*Dsdx;+a44(};C8!+n%&%Z45INzFvH zO6mrl>9i5(e3<32P+@U_3qi@*#2uV$SGZ6lgWHSyRB@$f8B?PKR9ZS@OLVqHv8Vq4 zDg`XyHA*XOU$si$&HQNO`Pgf@;5cWTaLs8t;Ibs(kPOar=B8t}#D178vDjldJtd)G@S>~&dTE3Haj(<~=5ofd)Eg~rynYg&w<1yy0q zXSH>{qs=UBzY#E3*u}1*U4s1Uxi3~|ENzL?Woq57p{?ebf8i@*C5`sZ#fny{_L^ev zig$<%SlF0)XoMjEz)`;=gkNObYTF}yX!UYo12nJJyfJ+z85hjze*D>*T~rLnVPxIW zUZ@0=l%r04=eR-A)D0!#fTp6*>i|h?J4ywU4#y+vPevC`J$AzNDojZ?R&RV6OwdMSnB;Ox>Umm~L=OknJbXNeIgVLgN~JNRx$@2?M7=v^;Hh zCg@rPZ=9ysS`T^Ip7J$rG5Tw>msN4niM+{PbcfMRwl@;{Oodq~L$&RhEZ<#$&?7y8 zJXyj2<7YqmNIQ}-?*!kG*)+Hr@d~`2r}M>hWD_ta-G8ybg`+y z#6(gQV&++ca{>^bwiemESg2GWe+S@Uw%dl6K-C*CdMFb#2Ct3OWd}y7*K9Rn5hA&tsqE*-Y->zxV**$*NJkYNdf=cTwFP$Ck zhZ)-Z~dd+`h$P`8^2}$&%gRB|M**f*V*PE``u-QrTEWE-UT%FidG4X zfevol`tt&r34gWv#jc=!r*Dkb-pB9kEx`BW91PGn%i2D4xO=A|azYF-nfp0_2H=9Q zthVs#R|y`njCNB8QX7k#BNwZ1ai_kt4wY;Ggt!G@x;so52UxEg=b@lgEwih6k>fjL zUb=_;p2qq;S;gYcdZ-v$vFWR^qRFv1!ULpg9zU~7Y#rwneV-N?R_%k-0K29Ya6Du_ zR6}z+dRWukW0&WqIa^J2EOI{o#I+ce*4f;eee9}cYpMIfAkA~^oxJ=E&GqY z^`pQ0qu=?_fAyo^acB~t*<{<%*db%uI(KWD8)%Nocq}hrUW366_`+KQ^`^<|ITMzU zX$rVI4kWzKkD!vsT85S*W4yfIRzU5`?u#G%CF`Fj`wd?jt=BTc_fGRL;Nhk#1R_M)|Q>;r8=nsa$%21T6&Fu%^C08&7$zb^P1N`fo}y7{ZE z%{y{wa6bDex`Qr(k8I5g20ngLO;OEtOSsM);M5|6k1IIi)vC8unJ+6xeuyMEsO7p% zxvSM%^qib2<5WiHxhi%rh)vs=tKGxUu>3hfc1>RqYG&!n4_?pua1D~!vt>^G(KoQ;2h7GsPO&M#sv|j)zJnPFMzW0 za$jsO^I*dbw2rK9&wEhnObfBAl6`e(xjfS>as*0X>R+gWutOS}=Ztn5oBWtvh(YOP zR@e{SIe&o`qvWDyvU(_R6Mo|1&csW;&UUjui4M1C1 z`t3g3Uycz*HMr6_Y|Jns1QEi7SC&O+2hmi;{}>Tddew|W&R;rp!ew!8}A^z!}$kUH+99! z!$pr?(;ZN{`4e@| zk?r6qgvcog^8dshp6I6VuPC5z7oI5GsQV~u_T`U0lGthSe%}@)SrE)2L~A^_SRI;q z*X@RhlW;JSt#dvNp4+cJzC+m076%uMDN7ratT}A5vL(wYgwv&fBy4ja98m)Bn=h(4 z8zz1n!Y$Md$ucSxD6JdD`aKY3m8>B0ofubO%#p29f~8fxkAl#NQwjS5|LTca58fG$ zn}k=yc`)h%+~FPYfr_{!9Tbb;m&!MTTigk#0@GfW6Y-@v-#Fr?l@jDzY~*3-&H7X@ z&Zz}br_HiLNdcC#ejoa{KDH8vy-OH*xXlrUrjPhLz%l~&jjLYY>&v?UxU6Dywa^tJ>nI5)6N%$yP-z{L||WF$k{p zKYmHY4)kY#{V-XtO1Uu1YlQbSf)a~SLT{++YdHUd4`f-babR2Gvj+cSr>cQuEohyxP}?CSw|FG{Uppt`bZ$IjNiENFpgM=`-@F(E=c!d24^w zn?=Hu+q)7uT;!A*!!&Jmy`KyA3d;OpP3*%76ZnE<47%y`ZWo%iYr`id@p?t!Oiyw$; z?tP0uWQKi|?JDmd#=fCixXM9?tc6Y2f@RlM0O#WJgN>_EkjDijvj`<5W0*}?}d<875Jfy!+ye}_9JE}^Fv0~sO>Rx`elCW%eXGhF|%(8m$H z3(y5Nd{oYIAR_DuV%{T8(q_9^-^oj1R~bx0_2?c z`_sStt3Ungzjz0XaOK+=Bo2GP(66Cuzk(|3{hg3;*-P5dE-=e1t`*>c#)^y~2!Cxi zo&D;6{V#sur@!>wpZ+_4{SJ}yS}F(>)bHN=mEeQ7?O0}jcoq`0J0q_2r+?!=`6r+KE{igAd%mq^mNc3T zIzO##h>eZSSCeQI68@{d@lU?@yFdM6Dva;`09}Xg2e^435 zLp1vH8KE={Lf)D0QK>yh^1uDkPUtvfcXe`wtiM@r<*32s%$Zhe=>77+5Mlh%##0m~4OeH-V^w zk)*aBv1E+yn4rDkOHkO1Dr5D7zu7&YU}}bJ`}mtb_^zIz^{g-XXLoGCRb7kko3=Y5 zC(?3Od5!z+Y)hlG7}QsbClLG~CAnh*4isr+ZqG|x)z#L2PJ5e%Hj(NI8(xnbO4`89 zpw3Q>zyM&I*+`t>3=~RfFJp>;d;+um;5vwKSgw?P_0_nBLoe8j)ocRcrmj$Aa^Pb5Dm*;_V)rk@y3B)~|zzkSkWI%Y%O>{1X zA&`6tX91uWt&KjJ;phE8WHintkOkpTP=s7Fs||#QkY-%)G%XeziK8>Kx|0H92WW|u z6J$N0mqt9qRLev|JWMkQqWlU0vee*16qND|l{`j^sEo0YQDhGVgN0oy&6k|WlmM~; zneMBl1ZqzqxOD1XL6s$y_Sh{Ja+-6iE#evHN*!R3QZDg5p}ddZ$?U4k9v;6&UFs`L%A=2n<7(|5jmC!aviTpxEA9SMZeliaLIXaNSv8zlOIy*N&>5gT`xD zFsqf1DBjc+)5T}sd``A_{H#I1b+x26BBS*IVH1=x5EVlB<7;m%b$eUcTbfki_?yg_ zlZ{hGt`&`n&gok#AAe1d2~%JE(u35BRVu3T8n_U3MGJ!l8Wii&2L`gF!d7Mf_?vu_ z_V}GW>4(FDzKJ{>L8+Pu4qTnTLsS(eM8>@nQ;kovIN6Tf%qlIAXM8GA8YYOWKmR2; z&LQh2Td&1C!^5r+SOwU&;ipw^nV4le6n3!r*ZH0gMfW zFu-`_7HBkW8D0!T>p7s^qSZ=~9&sWV(So&8Gz;E0vhA?UR~$pUs%o0!IH{7_)@1lr z3x#5lzgy&GQ&fP0S!}Aj#NFtfp@wTwJwQ_-Hm)FWJ6Ti8397yB083gl>WEd!_!j}Z zQNV|H(b5Kpze(Cv^7^k%K=P6-NvfE#02V-V#0uS5L#V8)h$}wr;Euwl?`+y;07r~K z1B$RzC1{kCc1m|NkG+XMrs30Wx*9mEwD8-nmUm=ZwGRw`TPujgKK_mIXsu}=mtuju zMi5E6CLj=0w56$XmCtM0DZ!B@c}w=xVP{Z81{~~_Mh2ax z8*|aF8%+yv6Cj)-kyy^|4e`J;&uAM*TOnrIbO9zUXKWRMolz=CJOc@(6&MVrdvNLPZWH4vMgOxc?GG_k-2Vt|#$dKQ2jKcm*3u3V}^K-cLc~1rt zPQxTll`Nz)LRRuhE@^u%XH$mxyQ$kK?`+WDOb@6anrC(#lG{_m!V!~Zo@xOaFIXFL zVGU%t?x>js@JRxuh%?U=L6sjz(LFa0JT^M?m17bN~qi)2sOit@jnT`IQku8QKJhMNDu;d7gkEx7e^bWj#if9xuhGjS zlzFx}iwj}@t=?)=^Er)pYD{*a%{rGE2bRH4wU^YUd37`CJfwV z3lJwUC2V_ct`u;ojWMT=WIUnDr4VDdZUv$Hz49mhFzs_=$y?o1u62gBOh1>ZOH?s3 zCYo-wPchW}R-V|H$S-rz7-%_ium(8CBx^KG;N~kH$!7#07r4=XQiL%anXz!0?dobO zK|%P^I)nuRH(oi5VDEX0f!s;Pf;+7ug}`K69X5G8kpr8OOg(DcT6oUJy7+oQ8CAwq z>lpza4W6=CW$&J9j&Ws1BL2cZ)gR)i^Dy38_n_q1$W!l7qg(1ilyuhL+ooI6u3^e5 zymY>918d(>REpG8`YXeU}e^ew1 zR3fQd0#m5OFHs2|5_}X(84_9MX$h&x+~mc%luxAOdlr-ch64U1kRfGrZr8E>I!U|& zoV_cFnM`>mv+^QCSa7i~hLHMs*(vG1NM}kjnlspcnDl9Yv~b3`tHjaejg7;mkw!WX zLhfn+l$3c_pQl>YCnEoTNo|D{4|O1Kw@IxBhV{-3U&=k(eb6} z^JQ>z`w@@)G}Sbv&lZCtKuggF(hi9i$Sq=AvTIE(eTwcGvS2JX*%pz+pyJJzm5s4V zjlapI<|;k&L3>IiEILKi+-P8SW5U)CS$su8Pga2V)ZHit*K9^6n#nStr`|8S?X@gC zrga`ZJ?lAkbUR(8(dK-9IL()D;VN5fhxH4aYvzJl8W}J^L3*Npv-cYWLNB&ehnp(2 z0gQ#$^8dVpM>QNyx)8YnyYoz0#B1`L1MP3injq7;NkOeo;8{ia|8U zhVH*fRe+*xzt2}IIJkFZ`*4+Boky^Y6-{aWu;d_fCg~g(z%}+IF`s36YCo7WOL2}R z^@>W7o@!P;M zC`+J7tLqeR7QP7+cpZ9uC<^uk^p$KW*BaOwOW=3ZhiYHJ19TMs?9GBV_+k>vcOmCb)RS@*{D#09E@`Y|a#db9ZW>ZQJ3(Sag7iKw`3i4M=~eVT&3?EtZ!ZXT zaK7q<0BF+9gRq6&S)%T~K~rMWN|Z-K%|>(Aeq2vCN#8^fzLCO8fh%vZarAHR=i?Y@Z$ro_&R{RK%<61Nixl!f5V*!f$z89l}hbr8{Y0MM?Fc0{e zZ=g@Al9u!m&bw3HBJT~hSiUE8hO{HWI@DH_ucc*>R-1x;*#f_JQwXR6XPSA;L`L;m zXP`MokVu{H_)h8@cJugcnuuz9pRI?_$qmyt?4RSoZ~u@%yG2Id9IdehGJ(GygtHBr zwQ$7S(hU>-io%)o@BJKENu+&M4lKT}8m5n=^{{li+6OHhJo zJ_!x&J3Jy|oEC35a|05;1PeQ^QFOv21Opqj60JbxR7n5m86h6}G^KGXOf#)`cNz)$ z=Z^9ry)MU}p+Vv#w%F&b1c3K@E8_=bwbG}QSQ-r(K&ChiZSup$sXIpI*Fx-9)KxT_ zlTtR#2@Iqa~Us2s}B8 z+$6+sbX|)ypyj)+`d9kFGean3$AKWS#3hM_-gywwKYH$?2oh3*_Bg;%XATfxoGjpY z0jpSJbqMFhfh-y3N5)p?ovrsJMhD^=^fjz7+Hg@H_Hxv`k$@^brKz8$x>GTR#pSKv z3x-w5ZWW1}T5^A&S4pFb=qJLTIgshv2XyO`#OXph3oI&!ot`?p9-3fYGcNL|Yp$vo zgGVuqLaRq6R^Q+I&wOFvv)_k>Vi-`UuVkIAcuS66=hK*{CAlzA(lD9eWayc}oVjG& zk};ICH@ZN|-w z0&7!0Cvv^uO$ydfOAaX3G*81<2$v@LzE2wa0V0amXZ!ocan7GR0W3$H6#QB-RQhs_K>$Ks$xh_wzP=$ ze42h~Cc{pClqf*xVvAd$hWe_YA>?@$Z+FT5ZTR}En&b${rlgH*^$s@27+G1ZJb;Ht1MtB?bg>X0chAyC_8bvZ?XQ(f3#BU8^$>8gKiiv*c6ZaBr+sK&I<08< z&}i*gY~S@o2U?JC3Gqx-GMIW@73)bmIxE0=9lG7Y@m%X){h6l_f9rgKJaF^3fdzF7 z0$Ag;#v0t7w!4|Y9-R;c!zj6YZ09I@gQngjrD@K@1lFLf@o>m=p9`?>OpaOjM9v`t zEbAi?16o&7gRt4tGW59<+>lJLUh!}1c?NnpsTafslXI%&>f9r$nG8RfBjp%$$F9b$j+&Js?$sH(;x^&h{fLQ*1+<88CdBJg{ZaS5sb0d zSCGC}oXsN4Zc#DLG806_EX%{GF?`|IgI;lv(nzJkdK}>J#uzK@NP02l){?gsAGq4{ z>Qp*WLb+f)50Jv{pqGhUTuPHu(v)2{FUNi8dcg<-dH9&G4zUx)4Al@8{0)&bCT7;Z z@w3W%sfQ~D3xmunC7EG^Ta(2B7e;T5?n> zi8soYu%8bI))(phM81w|WnAjz8f`3fESA|Q43%gXzK=i)S^Wr4_QpHR-_!}+5-5I~2^@nBRN_%P0`~-}W#dQh(_Y4^b6E{Pl=JiNST=fTrg1Z_q@l*wFk#B;gd;*DZt zjeVW*m4qtpmJ57?1FHs18NlkLj#n`W8J{dv4Os)LY?mQ|F5^2Yum{@WxbONi+FY3v z!yws>-^|96Rg}YZ$++WU$+G?8yArD(U9+iNadxGQYxu0oU-OTEe|8w?|{pM4{XcWPzM)0l0C)glwW=2nQp%Zg@j(4p`eW8Rx7d%ab4qkJTKO zm2r;+x8%+1$KT&C=jWlHWLF%7WD*R{$SM*$>ZM5!RV&-~j1eHH7i1yQmR~dkTcj;9 zAW=Mv29cgWh=egcn~2n1KN8t1DHcRBi(pp5rb!KH$w->an_59!VQ+I>uuo*UvoLX$ zut|0OskC0VLE2DR+1FC@g|77%H8ZRckxr)b3IT!r=f^j+mX0{p{YE1bTqvK|`J&5~ z6)=y;{-Vzw?&Iq48oFTIa1HyR@9LrNe2Q2gLjlSm z?@E^A^~&^PTPs91=Hss;g0d^Ci88oYrAkt2+FE|vH8e-8;%}98Lp+SycL>undy(xLQ^SJ zz50Az6e|*m@mOQ>820$Aiv=$rH(KijEeC&D`Vg8?5ws3+877U+WB~6AME+7I@;U!Y z>XIsMfYERea1n<=#rK=M*fBxQq|NdM#0_<2?=yU##fyrgiKAzvFpG?PU`T#jT`TbY zItftnK)ab#t!L7qeJ2i%;kZ%Nd>`LDJvY3hOi#03jQY*w$f0leVLFaEynxIZ+}-AF zH7$9!AeYXpV@5hKij#1rkxlS)Wcrh=k@2DBWT6Zj31-VY1Ws~ zbPwG&`<#=)wh;3S&7iEQ@t9b_BZTgZpG^#gCUo$g; z0;8i6JNDAE7(`8|r0pepwVL^73UjYm=#2Bc-5g-OAPGz8OW5HIx6jSzSR9?B0r2`) z3z{XAsotx%6 z>GmjErVPs3O_`&*qF%l`6m_ng9uVccx3_zExQ!&wk|!j?Z~_q9n1W+yHBlF*`$G2s zN(8>}9cnKRwZJ{KK-TqKqLWHL(6`b!WwxjV=MrOJ)C>Kqiz;8JMivUt|ERqeG^Du& zW!p+NRL#q=ywaN8Bc=ec@tcmXztz!)1q_8E2VT$MH9Pf{Wq(+gwt@I6z#O6Or*_Oa zi~-@>YEz#kA?;}Rn!4I6xP#)*u!jZbOwE+^Ey3U#B@lR8EnzI#XC_-1c#fQ>m)O7^ za24;)%!Js4?v>+(MsDCUDsceB6{vbT(&z10J_lTaCdqZ-DFDca4Vg(yG}j2)*?s*q zI>60r9HO8208x;DC!7cPANM7C&b^IWT*i!;zytUbOoJie1k*qZ^Bw-gXb&!KD`Ro9 zvA9vv8v;RW!H$YefrxWpGabfK{nS|&Lb)a|W*49Z>=z(IcttZ(J2cB>c@f*T_K`z2 z#|62;SbZbm4Ph}HOBGN87#e|8gaA44+&$TuH?!R+DCvP2cJ^t*cZwGU@aYNo+%zrS zMLQKW9{|!uxTKL{&r8fBH%d(T$h0gDR3av*x|>ufoPcgzB%cWW+ccN-_7<;=9KyB~ zBr1lW(s)#iw1bhOep9Sx+D#h|?Ik;=w86nJ3wqUbxp0>B%I(T;|TK9W^uCyf-U%QEp6`*qY2-U3XJs2#wS<@}?H}DC&xq>};FusPPa&IQb~#V78Xft7{EEyzR%C7I7{4 zSbAU$)f(#_UQHjH>8Y=FhEw#@BTXJLQ!@BG8GO?G+-4U!$3x*)^m@atjPPQmod6pc z3xJNwX>21-v$T&87=(rEES-JP@F8i1$V;}>B*1)L!s;$dTg8xq4wU{p(?Yu3uLOtT zhJf+pF%gGD9y!QiWR67!*dEXdds=SntXmeGpCnd8*%P$;;9au{>&$B~%v-CBXTeO0d#WxJf{v;`2Ey<5=q!&7?dX+hrS6XdxmOZv^PTm;p? zr+iVhg2{R26~-1qOzK(^Q+4=U_G+6Z?}0|_3=dU$i@}&T`3V4^fSg5qxnn+5e30yz zP-biP;Bt5Y)qmMa4PGPnn7Ciz=)Nl10E78JyENE$$AYZnJNoJl`8IRZk2x=oUzl*R zX_z!vezbLU58cCz-6(AcYXg0f{|gJst8gYzNyX_ zO;L)s{%?f13b>x!dC1il&#RzI76(H4b3XoaG5&L@{)CJ2o>7f)=)m)&o>?<2hQRK~?vn#eaFL8N8cG|kCmIzulgmbSn z9m08fY;3_TXaS%G@D!R`%NG=7IJ}dAhsc~d&u`UfI6=Zm{xh}Wn9%td;mu|tfq8>6 zZZ9mnhnBJE5f9+;wb)RA#4yl+22nXWqUnKr%>u$6N9~aDQ3B~*ae%k$$~Dvtk(Z5A zS7$^wAK_0>So_6uU7-u;_S-#<=k!mrEe`iKB-9ld>=5}LBPo=Np&j;Ke9%5^b6uX< z9MOApsw)NDY9FH(2o-=Ye%+AK&464W;cb~aV2fiwje&k4?7li26w1N|LE6n|v?op_ zaG#0}3l)>mVBD_U&`)A;)D^_24gUT|AAMx_%%dC79NjC7T5uSof{B=bYOzr$y?81 ze*{RV7)1gO4?xv-;s_oB|J%>W-q0Sl9^gqB(G8Eth9^|R{htCG(R2@+s&h73#RuL6 z*llPq=73HD)PGrgN_(Jpo&Ao%)6_frVbj@X1PZQ|81MpYD7#8o7W5;l-hsC$vxOxG z;;0kqaWq)f%a6&bq7YGe`OWNWgwz0)l%QHTsRsKf7GzCKVs( ze=5Cm!uh~8EmST_L?+&*pmYM$p^7)knbc)yjzNS@Am|{I8Vn^kOOs~jxz6*^wvaA^9P z>jEXIuGhBWN7Q9qVNbpWvthzXfRN) z(HB&AR#huCc|Peh-)L@?ax%_FQs&g?XHlD4SkRU}MQE5-aNN5NCLiGUFtZ03QtET3 zetQj^5l%pV;(bwqKv(^>D+Dr%z9z`ICfk@j(P2$)sJEvt6JOUVmo}PRZ+5Q5H9<{> zNo_B}&S+>x)mnE&$=N!L4>afcwhVfK?!sqRDhUaMX1xG7Q>=#ysc-aCo`egi@0>cD zd1?(UVk`}qWF8P&#K$J|%R=cf8atz6#x0G0xCi~tCd;jV4Ywu5qD7qOvdaLk4_4uv z@qgK(aNq?CzN9t%i~G<5f8wEisLC^0Th=R^HXV6o-#Nvi0&)B@Ut}9ZW$v+zM>BW; z)|+ZK?;0a;e`{iX-E>&fwOHvp7LGA6b z#+i`AO*j|ep>lxZ=o0^hFLUE=C!`|qPo{0}8gQob%vNVld}Idqo^>G?l_h;xCi}yJ z_9S4%0ZxgcoNF>zdMyrl;G{F0j?#{DImu4@ovr;fT5R%nt$o;FOMbu>Xhqu{W$VEQ zhkCzN=>8>mZ%h%i_qWRqAgXnaX!IHfV23V)KMk3aFuQ4lG2Dci3m~I5jj*|ZbFt}Ms6^p5&g!!_0%6vHD4^9)A`+1bXG678xL8X|3O zX`_o_PbC}x19M;9gX&?QmCrW*G;=~m1J1N?5;tu)oca}Ogz?UE9P-mVkTJXyZZ=g5 z{4?y!gEL8?(5qlL*>jqAS~=5_Ul-tf#Mx$(3jz|EF^wg5v>(UzHxNatU>2MR9<&UL z$7sxfLn&N_<8z~6l*t=1xy%hBK`XOBGI^ZIqcxiUkSMwt{~=M7Za5JqjtUB|O>+g( zcKeFxSma3HsyCA34{G85aHiCl!APJKKL71|$tY7WWQu#hJwCtS0t3zz#AA)a8yb78 zav~B^kr1+k(DO$UB16~6QNVHZBXB}wia1l`MWamdkO}qEiDOP2&l2m;{@mzh?dp}9 z1B@Xn>n2x1G$Qdx9i8K5d1mG1^gusxcUcU>g?^k>mS1 zt3=XDE_D%LW`k#X80*AW?!G38eLv8NuU;37k_VuNu{Iq*P_JAx8ZY_`WNU6Sh6~Fl z*J}OaUYE$Dw1)~8g`;Ls4+oiUfUCN!n52_uLoyl?yR4;|beas$^o0p%Z>?Rmt%`|$ z@@z?=6S&L?fEpAMQ*k5z|mpKbGN{i|N}$^BW_Cm*RX zP3Wef1@@#2RNtfOkyL)6FR>gqh^#u>RPCg(%^G zY-XhIZ)Ua9AWwgHVPa9%ZAaf}W#bE}y9{9_j6PcEKIIGSw%QiMq!aY{wpn+`4uCwT zIZmWdsU(Lw^GXvV$|by+xurn>4BYD0(4%s@y2JmTs2I+OV(XL@>XvlWYW?GWRMF%! zP>5Wct@K-?`jmx?iZ0_?j1%|Ihh|Qhssex zxr8h?3~e9qU;Z0EapJ%Rj(Re)1DaCmu4y1Ai0zbi6pYR2Q+Cj2x%SKpEb-8Xe>Z$t zy*C2HnSxHtw`Z|yvF{;dctAIBW&nm%zgq14<50TLqZe3jsaBCg|FaJ4@kTp;kQgqD z<^F55M*<)UWhnpx*uoXJZ#$ZPoxeDHL&c`40HL#gS38oV*DDdbhL1i^h_@F%W-_Vu@Yju5QLz7)_w~mTF_ON$} z-*_R`8k{)6%OiJA`8z?Z5kVfD&w@9!H7c-Ww#zfjRF%dP?1VnezyIYIxb2PrXg24i zzN1!*W5=v}w}CUX+=>I1(sRhNI+qRbjwR6=uB|{>0UQ|^>j1?#uZtyaOlkL02!EN{ z_pvLyM+-oJ_`SM9?!jT$byj2#w|vmFHv#w4fCK|3LzH_R$Uy zbBd}n!xn%Fc&mWQXlrjpKrW+B=xC5gqs+^5yRrMLTN>9^OnV^E%fqbF4dXjBPcOER zuX`x-_H^kX1ty(lJ_1K^Z{)8JYCv<1l_Gf$I0*Rb1 z^v~g!{)6h-X(Aj{CYU z>-nZq$nm|P%ZAc2o@ph85dU=78Eti2C50O=?TzrCbw_5%Wdq%oppfK;@9ep6Bs*8) z_O-}p!5Irv81qV|~$L&7sJC_)85LabjAK@xD9T zN(%fR0GqmZG7f1k$QXb;vcPudAAS?Aa8!bb;$Z(nb!q?xzBfhu@SBg{TmJCBbe2V( zvzXTwM-u@cor7(00{yPo*=yPaf!&Srk!JJyA^+hYK)`y*Doz9>T&W}J)HhqS!OTy z`AFHSTs|R`6=ecY7&>sd;;;u4#eZ+ekbpM^4!x_AJ(ck(JT27FbSziG6c$-Y^Ejps zIZIz;JL;Ghi(F*zmEmrVfEuzuBxoN{)NIJ?ZVoxDpAT$ZTC~o#k}JSVFBqHeQx-Qm z*`h#gK9NboOq+AQe5in8nAdv_+{;1W3?vyDa827Si;6i(>n0nC`*WWsmJcnr2WV@g z0w-I$SXcQtKFXW&1sf?jG%A|C@jnK!H?AK_8hmhV0U8Zs7_T?@13h+x^9#Cn-2Sy+_3Nx2Bz ztb!6z$ISWe8`mtw6JI9!F38TA=lP_Z3yx(ot*}M=sLXxG7!KGkDJEwx8doP~)0c*e z4J-EPV$76Mo$$@gOV4$RNOian#Au}!(ch@DbT zT7N;q=FphTO{x@{iEyX_re=WHG_+0K*oP`Vc>YVuyR!ZC3Bc#UzNJ!wtX^`!IW+ zWz2tuDI0E?WIMlgXK#XlF*}b{+3j-stz9%tmplBg&08<9Q2;BrvDv&nP@Q3iFvGCr zdvAfDV=H(iQfHpcaWHy*$L|!PDR4~`023JR`{bSj*k|k%x&s!AO;ysw!#Nq^HFdnm z$m#Wz$&|CsI64EYqB+xRIZa1>#f;x;viKo|CY*s$o0MBrJg+GFV|D7b<^HTIoDpy) z7x;@tu0x5f8bUI@*3#7HY!?Er2NqwiT8eKyso#*$RS?gOKIR?~5E) zpOp~)a>_)Vl}5tk^x96fx2^9KE#H^47^K`X7)Z>Z*;ZUxdI89{yo4wji7K<}?24x2 zQ0x}VJM*y8Tvc#Gdg`bb{^o+c1|pf#&VffklMH4mTAB{Xf-8D6j~APHUfrW3%3_<}F=_{FEW0}P zPSQDMcI%(}@<$)BleTzhX#5p%*T~llsl{iOWMWl~8MoiKO$CNTR_KHcLsgKV~#HCW4*uOs}R5rI1PIIRPE&# zY^jWEI|RV658*r$w+l@s^4bQnKggKiwC=?;AEmTG^c;{RU=wU|lE@8BLK|Y=DbI_% z+v)Yja7r?B_#E-?IRR~LgA3m*GiAUjX)8s-L(>P#OcWu)A9q)@xr`i>&xr|Y$O0nc z6(P3lBR~`Q$JYP(a{NTa!<7K1fQjY2DIwcT0r_FiC*INw7MMDGC)5uk5|ALU09(3M zvFCV~K%f;#?KRk9u)>0)34TlTE~Q;t*EBT)832zlapanl;Q#|Cwo+%?;Xatd6?`YO z)VFKEEHa`Z<)tCo93b0ea7TtyR28A!?%XCLvzGek_x=bfk`WJ16Re7QA?8M;s^Ns9My# z$#o7j!iK74PQAfw#tiIaH)Wn55L&`$Of=nOJNrPAi><`ifc`qKtCRgzM9XG2$X@q| z#4$mpg*zY#oxontTbfkhev*4ubB2H>AwB2@ls-A8Ayw


|uJu>HEZ0ofLaZg?xDU{iGt}4m_5-Wesj3&$L3n6uR~!H$(4aBimzjQPF;}qo zi7sGK=dCWrc=HL_E;S5MxXRMzm#trHggpV4aAu&tM4%OJ0C10{g)|6nWITk|Hk(`x zaOD8122B{WOod`1tlc%l37{FGv?YpHOWe|4IfpX*{)!w=xk)EZgw1o5>OVsZhktzY zrD|$ws^49a7`ldL*nP8BujBwj<-c?KY`oiM=0n=~Agps1!|sTD<5}Rr`Errt4uWAa zSqGr1h(}T?JSJ)4W2;9$4(n}8Y z`C{2&210;QunA5bCt2qxm6k)$wZX=vaoIIwf0X*HqS;gj4E;?-pGe&dMeq$XN7c$P z0I7|$rAx66ZNTB5X7hneK9=BqfMR0+SU{)0ab(SiAa%2{uBczWMthkGD0&|%>?QSD zAtV{@teYX<9G!Z~&eZ>s_zMM~2h)Xh9j zX7Vcn{r77iR%??lmzllJ=78es<@9h=dy&p03A-}K4=#PDKW*>zVu zILc{>yN zHl81o(z;2!D4@B11zy?}0-@klFAhnLha-1y&?A~z$AaN{u|Pk5Cu{6uS2dLpIVA0` zt3vrasKv(o4D}9U3%)9-IWU z0nM5DvS`YRHXPky^m;ffV@f{bl^tNu1|ZD6O;(CAu^eKFejW(#?Gh|^y9gNC@e&m0e=DEUC$JhP=jL$}W{)FpN@{-RWLZ**o9zgK6b zqt1-t57cI6cBZLK@KSArU2Ck(bRHO9KB0@Bjt7>h%gaAJ_i`?XUN|jzPboyB$y5l- zc*F4dNJGPHS&W;-4K6$BL-k0;4P#D9(F>+WH&XGchAQ3%suCNjBvVbEZ4}{E`$7~k zmkiJBn-|ZCSH2?enU(cI3v;yy`sv2|Jkw1mclndq=0lrlP|&lyNG<&sH19UWoVQkk za?j1x(LlBM1!xwSn$1Q-DNLOF&{XhitWKg{b8~RV7lS)YK2Rm!P$`;f^d4*f#aerz z(bWm@LLbj;B7Yd;q|Hm0itu7Kd}-^rPifQdY{U42h7zBdd6S_O#viDeYqpc#-;!pZ zd(jWSC=F+3+r{Id6~17DdpX9#myD>X9$sqb;ZN0gcKS{(rtb?iZZyd3DMje(ABJ}L z(xH82Rr_FV60>_I?egOF#0@VM@;*?Z`1VZnK30h0s(wax@6No>@4HhiWtcJxuq zHKwb)-F(_*b#AdI(AI7deN;Hhd?iF2xV4hYE9DEo(SK=*<6@k7iUX0gf_E5BI*WIC zQG>#7$t-8g?bX9b39IjLdK$vdnyLG;(rSuq3y7@8&-Ra>4GIjWj^?kS;_WNFPzaVSlhF!4`Jdy-vFJCeOcJyBtNF#&RgarW5n9s>k>ZYEM{+Gi+f1nuW;m|2(g$8AeVu>uXD%tN z2U1#Gxa#w2InoC6_Mt8wa!`NUa2Ceu4Z_bcjP52oWko?7i5dRSS<*nGZ?#zC2K7~P zhc>levH$QLjSQq=foUJ4Sr_v;+IJ10bH24N76_%R3j{|5p%Qz9Uw&QNuUwKdi&6?TVSQe>RBFM1h>(xaiZ z$Bd(Tp(Q(%`m}vef?PlB8;m=F4CahLM>?6h|E+vfotqT zs+ApT7~5b4%F3mD%s0DqUd<8Xw1kQ=#Q7pF?mLym#p<5!Z0|Y-*MsjUY-{*_(2#Ky zahPf#-6Lg@w-4Lge#QL}iRc+MV;D&F&j7-xyL|<}m|eajEV&ppXE0LDafxYX z%VQ=;K7g^rbt<5Qz)+Iy5KYi9gqIe6Pgxr#$;CIQ2c+wcWP@}Hp+fVnu{G$Nplj;hk)2DRcvOe_%xhqq16{t! z^S-6;i=CaZCQ^uWoj2>-8HFT{8n73r-U#SIyjF&>t3NBn)3>PR)O#UGibX1Qq#yM{ zX+>Efio9+ZRFd`ApJ}n!6l;Xm>1nR&*0d~QJIA9JaERO(;ixgZ)Ir;duH3TKrl@eG zd2Oi1!^}p%23oTcTO0;I(Us6Z7LxOQ%mv3D%eN ztf>x9i-s@Yl(igRiAqMs=Ng8wPoFC_i7%)%^NLv_`{o1xD4BW0yAre;oK#78nYK^Dy>2KTAfPt%w7s$mc!1pXis z2pK8YH1ohA2}Iq8v35mu%8Zdh+eWfCbNOoeiDNbr<-5*3?W^boT$XS*FI&9|z9H17 z-eo6X=864YFQ4Z>i*~Jc>})x7tgjyrI;{}Rxi)>z@JW2-d6TJ3G=dN^!I^0pU~ zAJK!L4;t`j(b;)J_6UCtJ@uj)JTEb$C^1 z)&+PK0$pnQLdYPePaAO7UOr~l#ql$1W{U>s?zV01JNmiEXgSU8<<|gIvZiU}&N-I! zMed3kp}7YT64Aav{FW|%nP%_Hz#fxHuNEM`17IEyvZ+0*($4E6eetqcFK7o2Ku6l% z3xinx;EeM*$H(umug#`gSN0)){BCx;SbQ-ESl_G7+l$MbXGA zM;TsJTy(ALo-OD3PP%pIN`4zw>mo9DGD$ZC-U@q2dm4gi}I zDSZ-JB!G;hAct?IqK)xtWmmL@9DGzqV3GHI*5hF! zJO`%*n`L`+4%uRhLHZ5aB=Q7`w^e(zbsQf41w^Nw$%hhXhIBq93$7`$rs(r|ADGYo zzc#77HI!v~9K7M~;YygGlC{`cVmzybRB>z|_|H~B7q_c>}$+mB|I324e@ z`Cfv~GzScl{ zlJDq4s5pj={$%J%=bo9}QYY}E$a(Dqw3PC_5yMgPTc6qOgE*ePj*Zt|l1^VI{5r&c zK9B-lJ3gRi_3M;hCn$Or`}Ee^4{zNWzfIxKACVDl=Kb9XN_4HrYhN{Yi~ykHp|MRu z1UhXRt-+9-MzzCr`4hgval8aeI+)s5-NVD#eyGT7r&6Xlk^pY~4nTn0#4;`R%cMRf z4Y9{^S~C5Z8P{%#-QjBDc$An%Kh18~x-nntMQRmo3%w(UF?&7N;;>FcaF+CeUF3-* z05+2F!dQjF&JY6Oe4REQt?%PXm5*^wCE)g?R(I2w+i?nUQ3OUIm*5X2Y{;lD78_(l3zy#v@02}SCPHi8t8Z;Xq6#}X&d^^KU6VS?WJ(WW-?A$8XTX-X@=d<&$1V+Hor~tnw_)`BXNr1qppsK}OTdTi zmkkhTpJ~%~tCGrHb@*AJLQ?7{ht=iK;P_xVBZ5>^ya{13Q~!0^j|nAAYXjju{GTl z*@lm*nn@{}`amsYw3nWAdS=ztbjd6Dd{+kz@o)RUKPI7#5Lx!Xuj!SKk~kWNJ>bk zosY$$FM!thqLlURT4Tw|b|F6&`SDEIVY1Q0z1F^=MRqUD*$!?vtO>Xk6iRGnLAQ~+K2n>w`HHsWJlg;|Es0A z?vRS<69LYVwe&WKqtN0=Pboj^e`w)eVuu6Vp(Me2I4E zN>Eb))a?IZ?`=Y)Nwf8^zCANnm%zqe81D=*1g)-Ox@$82BL*%Qv^Uxq491H$Gb1yj zGBP4NBBS!lVz|)LM%XgKmgFB~V_EI7xzoOk?8{(b%Qgm=X5o#|Mqn@q!-p1Hc_Faz zNyQ`}*-*evc{{NlxJmU@@iBlv)M2zxw=cGW7<+T^49G%`23qc_x_vz{{1(9l|FaKfSgXFc2g~J2W0;NXvk~+ z==8V#@p!KynwnxU`tIGSg z?U@R^Zr(Jtv6iEE=>H*jnLftaGvhAUA7k%S5a{yuHgu9fPeo#{RP|h?fY-O zdH=Kj4i^6GzoA3oGkC4+1MR#2)?cQ6gI|=O7z#iW9sUn0XNLKmqBABGN1iB-J^W+4P`>%ig{_9^jNP1HC8AQ48Hf`EEqeb#m!85En;|#6#6_hco#ro)aAeDOmGg9_% zy#E>f``6$9>~FmP`hUc~-~7Apzxn$8H~%@6`G>TcWz=Z)Hh;!lCT_gxF!k#{`k}MU zPPFX=XhwU4qxv!51AsSU91SFDe+b$R+DKB?YD*KngKVWKL7$g6@4xvsQM=!K%^mOG zdjHKII_v7R+U0*xUMlCj!$kx@X#c>b(@K6KTc|u0_KgDOt7^3eF?OTSP24~iE%6xV zb%PgLIuJQ6gI801XYcGi4mv-!%L8pOgbw8T^I`hK<6P?QQ)_ow!vJ^AN+uE;>J$m zJ}hD<4uE}*?{zLofLqrX1le)?un3&keW1-LysMY(2}(R~5dn$Ur_)mEJ@}rJgb$0v zqIr0bNbde5B($B|PB_^wkmssGFuuF6WQuvJV(2nXE ztGXaW^I_DR%_yRbb}Cyl9}|446R*pxe^!X58B!g#c%}kxQk#`k0}RiMqh@RB@+WrD z5=y((SDfcA%S)OIUH^0Y&aSqgZlC6o{t0T3^QeJuNw#>&q)5aIDP@8y`{DTV z%aZDATb*9MMT}cjfLLB>x;v9Y*Cy$;!r!0+xFhr7US2&{cH(x*dtAz{asWc6O8YCd ztSX@7Q8G{#9gYQNpSGdBICiCQyAazq@Pt>kAAc^8Y1Uu-RQsGsh?C)IaH`@$N6J-m z(+SPKJLDxDuMXK-70o?us^FwR)8npcCoc>3UE8R82>|?3&Z`<1$O0HWjtv@E`G%Yc z7fCuf-$X*G6P&qmF+Om@uzEH0d)mqN+p$3~l#8{kLjq%XCLS?+1`g zeMX5uXtFohn-y;0fx%{uE60;4_RiH7;W9I5NYK;(pg8PpX()(^O+p381%V~0lU zvga(rFki;l%l6%NS#!XE80kkHKJlOZQ+nF%o@iv|6`*aZR{exCm@izs;xw8%6aKZ^ zg6f4P$UDtvaIb;<&uUw;3nqQSO-{$W0WxqGd?i=Pu3Vk(m^hGh;m+aSDM8W7+pUqX zKM)S|V-e+|zG?xpU)jaWua1aRVS`3m{DGEWphbv+wQx9rRH0^Ok zATlC5o$Ld++Ld7|*xIhdTX$g#$XrLuFS|nQf zT8lr?5*jV>a3Nr?08rz|1DvDmM_Om<5+#!|!7*9tBbZ9lOlrjW8QZ}d2pI3g_ZkZC zsk^M#GRVn@=w7QyhHBj23R%kX<^a$$y{6oG!&V8e#61)gm$HHM&-`HTTCsskkX-dn zv`ciQ$2WRH%>b*I=%l)^zq4+bu_820e5EKbisYfu*;U{&tibQ{^2-_};&P^@NXeCk za9E^hrl(Pv_J|4CsJd*J%9XxAu~=6+)D`u$>&w#-RnQ?@<+b$pz?hL(rYO2_gMt zEb9(s-A;BP*S_e+Tw|Eg(HG-E(G&Md!KhO$#+}L^7TLQJ^}*z8`m%{vI}5;YpYfz8 z(MVye*0HKUR0&(iwCbokPIbGTn$f%)iW>H&acXt}*k^fDn2zmUnL`7W_XT4;k*ote z1f6!<0#LTCm!QtL;}7q(r;luuU%r*#LEk7F&ct3U$~^s?2}hu8DdB-SctL@Lo;2lf zZRL1x*?uxr@ClW;2RFD8o$oiGLaacDl@o1yWF6h zBodW->w}#iI==^g`dLUH$%~7!pEJgb9=-aUur)xqdHrm2hoXke4(wGb6f<h1n(Gs2hGoVK_KHUr_IT}x*&3IoL94}s#C>zfE|nLg@#=A4!n$88Z$m4 z`R^~djO8oAf%+7$rUi$i%3)XD1KhT# zX>PbvFeLp3pvv}7I1Y>*3slLjo;1k=NSfLa#925;^>LgxyhT!;xE>LmPL;OWRj4=T z_--XFg1a_aG4Z+xmjbFII&mE2p-rRn(Sae$;SK>BhU-`C(Hr)@+E*O1xCdtv0?so2 z71ZLBy5TH%!ly5m7dt;77;W6Bo6Ty&j%+Rb>yIr{l+&DCQe`TrVq>MCyplOjc!;y> ze3?;OUU_azU!&{xu%y2#q0{0hBJiw8q|f~8W6V2^N4x_fEaB8Oqth&HejZ{>S(<;( z1s>9FY7?s?*|@CLK^V?EZCrG;(53}eIyltf1fy1`{yiA%4}%(D4?tSw_EkwUQq{Ek z%m$)6)$D9Cl71QM#rFbZuN0*8u2-fw5}B@kDcgP=Of@Uw50Akb?E;0G#doex(W-5Ard z8Bt8|g$Efr1*;F&>dl+!%QgkoER)3>qirzf(Oy}mpxI%@`#%SsVhWcHWqEnSR#qq! zB{PMWy+56R6(w${WotE@FPmeLpQg%g6j`>+n4yab0SeoEJZihC;OX>eYbyFDI82_} zbtQ`U-;Y#8q ziPuw~7PNh}Q|xKbo6HA)2Mf`q-RCrL9`oBv9Xxin*b#xTG*^!qcw@bpijeavW^xX| zdc)!wwc%{*i7U`DE6vR!t!i&pZ#=Hucv!jO=Tl(f!o2mY_W5)UXRpRL)W}ils7_3l zh;`+nwj)I!W{zALP%H7I1ca5ny6x>Gmc3Gm?o}t{;pAQSs8=;(n^u0+=CqE`6g1Z^ za@|Q|9piJ;KIXIoduw*u=G)n>BX^I}4*AyX(Oc+UY5g<5`^hIq@VJzlLLjvbio1co z(fnZ+oSv7epyLZd80b^lD&zbIV2Kk04IoOQK2hUg@1ijcY_t%`x?R*a6^=%K!`F}+ z<3ZoP<_tOlUoHbvK!P4_lWd-osMYA)+h9%xOL?6iLGVNS>@tHG+`NknY-}Wk$Mo`v zIXbIyRW*FQwNyD`(ioDYb`H5Z{4Q{a@Lc+5+B54in&&+o{?ZaK_eFTtkg?gc#tJ+E%nz>sUGYP=0X` zJCk-8vUk-EC4ei?sjl)9^KUgg6F}=&ZXA+r!;)GRB%Yx1o-+3TqdGf7Lv>+* zmnmLXLa>oht(^A_ zW0V|dlMOT?417fQnifs3dk}qBKIa(&1&!N>c4m7x9po#j)KowubvT~QGf{OiZ36EW zv<2Rx8p9_pHoy)Ge*2-k0TCcKoejGiPsPp`=4vG|oL}vtLU<{jC~`iR$|+bg z!Z(vL_q~zCW9^EGxcg;r}Vxu z*ze{kr>T!lfh6klz*y%Q4QarffMS@hfc6;Q*(6(}eXN?Svp5)rCDDl9q8VjUm~Ta3 zPju4Z^_boX|M6j^)>So}It`#nCmiVsa$R92<9?Uf*bUIH(s+Zs{>ATq@(Gx(o$+&k z(C?7J2PzTO8ga7XGMJ;?Yf$*Sl^ksn#!P+ioi6M&R% z=oK~}9fQz()3ayVjJT#BLfs%>=JMe^n$g*HC60T5PA?I6O`7g14XS6Z=H0+g;O){q zJQ^*PVrV<+N8&G6*nHCW;TBk~Y3Vp&*TgP(5)P60k!yvWqQofDLjl8(jgcGo)Zukx zR8@gsLRpbBdIp^}=M2|F_FEh4k=tn3bv36AMPKmyNpjV|F}(?Q5heb-Xx< z1295PJPv1vitwo?Gd6+d)d%xs&@1Z4@U%zr{eF--2yMe=tU4E>#dUx`WBp&hqmdU^ zdA(}$lguRu5fv^aS*7%!43<;3fJZRz?ldi~;W;kCv_QW6T*ER7jr+yP+AWZm_A!p?fJJ#0t7&XM?1zm1Cs(ow|QH@he9>XC$!1c$%w6Jx`WFcfHzjEq1ifP z^fkQ1I+2j9ud@m}J6g!-KO=Y`a|&vFW3v7m1n|t3PI)$HKX!FcB&UiE+-nb{Y?QY) zc?oiI_8jTC%SjP!o3~Z_j=49g&T4pk(Bhkwaxen;;JZ$P>kd>*iVo_gY@Ib@6BxgO z7U|0AfAhkD7Mk~Ks#4mMKna%cV%-(ve>UC?Kyx=4&4J6QdeV1J7fL#4#5FvQ z-nbSnK_FJpF^I`ioFJ7flCf}fWmzE9j4fz@X({9Kr$f8qkE%>x%)%}8-U%XLU^$VF zlH$5dK1v;K7#L_4UZb>0SkfTSaE0Dts5bp5wWz!;NbhqTEn1-e1`O}!&?O$G9LTt#iJN+H;-+{B>o3Mm^Qx;Are|xdBu>S5RnkW(biJYfY z-m-BNw7zTCGXp$~=~QDsRS0qzvZAxsIGk9}C26l%GGel`cvvhxqi^YiHU8F5;;{b~ zfiNX-Z4gvm()YANJkbd7;{=J^&k*Ik;6xX@fWzSv7%PK7t6(lbTs43ntziw0?{@kB zSp&!Q3J#Yqq->S|X}L~l`5kXVv3YL= z*mD^B>Xhum$gs*9MIkutXuta4hxS1N;Ds!4R(g3^Z>#2c1>Zp0Su*e!;x6L{-xu+; z&mYhMR~l%v=BRVc-0tIrAAlD51_$SRnyDVrz^D>SCMJNE4;l;}nd?dc;*`a(F=w&a z?AO%}*Q#GBT3?OnDGhJ?Tnl5QYM1%TFKDhiWEq}P`VYDaGh*&Q?Daxp!ECM-c%1@& zwy1}yq0=PEX<~VnOEB_DuCTHnyy5XAD58S4E6?O1{N4}DTWsFii%Z3Ln*s~!oX(xY z3SP3QG|#GYY53_+eb;y6pZ-)oy|Rq2W#s;QljBBiAV7yV_oqMAFTxspwHF9*{wx?N zuaoeSBsLN*ON6Ej@{}hgcUgF@=X*xLV}WQW;5%vqypL1o6+i``op}P$UM4m&^14}6 z>~|H2gkCnWKSFB(FE7#I*IQv#e_aOz9xx2AZX$kB8~KQOEFx>En9? zkE_$m3t@q~gNx`7IK8;F=+vomp?NvWOrO}$C}|I!YZ?_HT%;)#fvY8!;jrk0_%IYR zAQr7Fs+lyLE`#TG0@`I-?K3{acNy`~L3K?{=PQ~ra-|#Fa|S>;T$E7SB#M2qO;%PB z3_3yGCf%FkNG>2b2_H-h@~@GTXW?N*z`O3{TV$PT^P;XmiF7XBr#IpU=OYi=VW!AK z2$DrA?(0o%3RXMXSQ#hApZ+um;waTJo<<~2IvMFN{V4ZDB*M%iA~G%bbb>Eh+=*Wr z^G3R)-5`7U`Nlra^%K_!%24;+p`f(vuo}>PDljf*ToM23@5&}hV=VRDpSyg!vt{oj zzt`DPZd&*+piMS7wrbxPyT58O&ZypEaO^er?atXw(F&hmuQ$>(nz% zR_y;4N&dKwgX3bIt*IY-A;3)5b#{ikdwY_6#yLmV83)*gr8;A85GqUqmo{2^xhqKJ zZY`9Iam$CdN$%O=1~$$)rSSx~LfTvNqgcaP)1LB(lcvc!Nz+)ercKx2o*{LPyNV9s z?{G<>U4Fw?syw(VxI0(nEeA84sc-cb1XN^Ux3Rp@1qE*uGkw#E3J^Y!bhhT>dBd*F zpo)TXWI7W{@KVWc2jI_9L-NX`)^hMP)Pe8hCGtYJe< zd-Dt@H<{|axsSiFi*{unmUMQ+bx11{*|mMs)(RK!Y4F7`e=s-EuxU?fhsMGLnM5Df zMP>$wJ2y2XiRMtDTnCeq*S#as$Y9szB$kXP*~D*8N#S+A@gj+IzOm&G<|Lm(oZuKj z=k1ES0(vmemp^De3}yy~I{oQWKOe+2BZ&iMZ2d3azkR+#ytQ_;l#{QHv9aY)-(*!= zm}BNa?k?6z7;jAQ{M<3yfc+153Gi63|;I5)dp5!;E%BVl$P0n^TL$BNvOl}I| zP8{1A4F``ofx}mFR|!oFLC!2nu|WX12ec4wxi)kdwWtur z`4O*Q^cU)?PwOHanbvCW0oPm0d`IiTufIif>`|?lorw)y;QBAX1sZZ*vNHx1aNF_{ zZLidkgV*jS+QU=|89YE#6&TQJhmefyu*RE^aB4{gY%kOcHa4toqz(pUa~-~o^0Xy; zTstkR%X*S=>`KODG^Na%BefJD+REyQ35fzH47wDiSZ0?6mt-XJfrEKn_gT4h01=+; za#{^%>@#&=Qp>R0iw39Xudb37l`5@<#)LYosZ!M?W0g|v=4;b0w$-`+)?M^rGXiw5~}} zIZ)=DEdhQd*6D5|-JyBfJ52s&|N2`x&Pp%$M2Gv3biF})Ba!WhADOhCH>ec!FWi<_ z0C0Wzjs|-@u-?Vsg8AqVb#=kTdR-O8sF^$4%PcSYBjF^|h3K2MMArg#Q-CtF z%^xW2euMkKVS|{aQ<1H=nJJ}WM+D)o@D{x~&(?U+9DJW|Hte%`rLQ`-jFPOD*@fDi zwiR^XCbbRFxz*m5n|{Z4J9U5ZLVMlw;)f{nJT&bdo(wql9O+z9HE@F?Vd^tDfPh&C zg-bt5@&EZdpL_z~J8|gkeiIA~2N5IkP4}DrMx*G})p;#X?KtHgD$qJV(AoViOmWeJ z7^1auq6a!n-v!A%`{mh~|Lp1sK@afeaAM7|?Zp)U?eq5L3~D^FTd| zPOfAVChum2B_`pLMGHX5)_J8%75ZZxJ9P$URY^Ifl%adip3=07WAX>rWjkUzCDXR9 zq@78fYirVpF`NAKOp`D~sCr`Wo@Z_hcQTI-taoX8&)j*<8NOi5&~ds^u&=&vfKaYc z5Q|K$;W{HoD9-i8X!kVU!E8LL=VvFCO8{z`XBuw}P?bTI`lt?k&vNH8QIs3|j(7^W zy&~Tz(wB`cdl2BzdPA2t(dG5JI;ajKE7x`lmv+1F*f}I?c2Fj3hCD=2&AAJ}*@-&8 zSJ%O#G+^V@5uLXS$$Xjv!-8H@GBr$YE?jtgwc9NmP3MZ~#)~-7+QLEIFRs;z>l|Q2 z${AhYa^uTR(G?AJxmUWx(ZFL*O6uDH#9?5MgOavn62L`ZiWv`-`Bx2q>%1g&y1TP0 z(@_1f8w3u&Y>l*a*eLswX=z-!0t2_)t-i6i7dSz!E$Owf~jJ|ZBuPf`aS~5^#$`?oOE7o~k2Z^TIuDdR@(dixY2l~fM*9EeG z>%y~MJTQm)qN%=!OB;YyXRrI)SxtJc8^%#0%KXJZS$bt$EMs)p!YA>x!wceJ>xQwm`oEBFDpQRuio3F+VHfkE$ShhhnfC@q0swM>$HQ}Rc4`~Y6*RRfog$YO#D zdtDt~ehDt(XWCTNh{_&b0g4>W#Gwer;9yjd-iW(At3 zl1eHyqp2k6%x=WOhlPlx4qobMxuuQlqf`p6lpnPqF!Kv7#EpP^vM%-z^n3uCc)RqQzXCer3>F(bJXUge_Uyfd7YnR=SDku zRWcjZSO=Y3EI#u9!QgV${eY&CAsQdSb4(A&9pX}9TXbC)apLHJXOMU-tj8SO*-wgg zcJ-TfjdBV|`X7Lp!?;oDnL|J6YX4qbv(tvDv0MqW5RyD6ay17dovWDN4jvm!eF~Nm zAVw@N_LlZCq&Ey4S4bUsOG&9M0oX4uh@^mJ;lg3MRika$HmjYja}F3z2@YvXG`JHa zPPn*{b?B&qj$#eNveKBPwBi}qWzBdJ%miQyiir~}oZyze*bxGdV-3XNK53^ekv7Uy zUE&#v4s7XdZ7G134gl(4FnY(2blPUMQUb)vyvC;F;8e*r8&i?~D~8g@t{MFMj0;8D zN_x@l#9vUeuK*+4`HnV<557bf@omqw0CpWlB1u(6AA}ES@7!@E zfJZW&-i?-z07axdEu;C(DDTpGi&e=0igK}+HK#e{oq+x6hw%Hkd}EPOpPpmwvwvjM z=HT~f_ZAC*pXUfpJBXT=SDZCbOaigX0*R39c@mb_*2moyonM61-XL|riR+4ErLK7N zdSg;y%nMCLAQE~#RZp5pAb|jlfDFk2jhTUV%Yf0?}Ca6MN?bs#-eTVXlC)IlMy569=e~cp&iK{@y2_ z3>e7x@r${B_)&@<2>G3eAO869g&*?RE7ygO2H*ViE1f5P*9%wf?fANxFQ%zyX4GMt z+WZEZ-7jtUJX#Vw05%ZZT>St3cdMf<($wuVTx-Xx@w59Ss2$(@uJk|r>jD@Yt~deG zDOmt{v>N>5*ZSXP10^p1E^7J9;ww(ZY8D2I$2#Z0O~Fj9I&%j3vv8pQ@H?Z7673{P zC!?_;B=*%t61)5>{p;($26m+4nw}0i0y+x5T1X!J)8n7Pji1AB{j1*>gWui3Px+jN zupng8zOtq1q3@dvrMb|6ni7U5&YJQw8T`)YKOKxFu8JHU=m@Zg=n1;t-N8?tyA!hT z!cwQBZ8$DuId%TYNB{49WQkXm4T2^*P#!Y=Pj&xDclJla(sX0p5iD_!8q4wkq7muw z$o6V8nrRg9K!AKCZqgQ?4LDAr8ffXpbvH$jEoz|0m?186v4t3~fxK(xmu_?#+Xu3N z1Z7$~b>PLf7dIyJ|IMJjk`K8GLQAib*Y!7=%7&Gv$Ai^}D$hzw$)zH@oQ>^~R6mY# zYx}NqU%2lyd3FDN&Hu;BtE9glLjq#W39 z{ZrrLS29iHGxT);%^Z;RGpxVzGpY5=UW$@}3wb&IpK9D~rd`B=N2If3)ImiMv=gh`!0S3NF`LrwOmN{v_2<5djtB4`tXccvAb z^lNyB+`_5x(LWjcr&jOqPz6Lh0U#N{UxawO0P+qP*ab(X+DtH7j%~eeGbD9=2F9Rj zJuoQT2-yT^7iE<boT;^pnbisqs*3JQv(OHN(JrA~|UC~lwD#TCj6pSuBd+2b}+ z*KiY%LjX9X#(et$pg+H+bGm_LAK-Ih0*iwFci-!OcOwIq#6WShcX`TA3indkufMIH zUcPm-KbXUW!}cA5-0XY%EKI_Iy#dQJm+GVQo;JNbQ+(|NsaMaYZ}T79vmLJFi4HGS#j+oy==-Ps(6o!XzZ>I$X>9NkIF8MHHrj_h5pOdKKPKh3jOL?NZeP z1+>EmT*Pb!qQIRf2!?TKUKf|P=nTM&9DB0IbxlCrfCs|JCoIoo8>JeSAR+|`O?%R@ zb?9WTU=(=gk4xa)JN{3w$^E+ zIo(olDqTTS^YR_ssaE{VVLsM;6&2~=hobzcvNtQ+d<|Cafi~o{tIArz;gkAy*|TDJAK2PqyHJ&LekeKp(E?bnPx^sS@ZQaJ;xy=XE!52{V3U@q-(SZ{DGz zX=Ayh5{P%08^zv8P3N=bf|Lvd5b?xq&4V*rLQCG$rV!Y%)Jy%bF}U3LD4Zpg~qMKbaZOu}TWDxeL$0U;9l$~6tD6&_-i7w23fO1Z?Z?cP8Wfo7>F znDDRJA@1<*GsJ@er5(6Ed2MU#BCQuF0F+LhZ2G>S!N_=>I;yZic*275DrmbfK&)|H zI>{Lg-m4n?2Oq#R4*)M3Yw$Y_zEd3lsHfIDHIimJz9vVM@3N@i==^|3Blm%02FL1x zPF*lm$In;=KzQIs{Sf(Z@?3<7z#GeloqQ;6^4n^?2E5>vLE?0PfKH%6dJi$4FUX`Z zq7$i%I+f8_r39#KXlZfWhtOlcQ@BKp#p6z#PPys;gi+wYj-`FyNgv_?`Vk5KweQhp z4m|aT3M67>Mg1l_fJux$pgkSx5-f`hA5Vu!hf$duCi5QLb~z z5CuZB9=>sZ5<7LiTxM(jTzQrpI9BoIG?qMP3PWI+ucA2{6F2y!*Rxv!c!o6TkYGwr^Gt8wNb<^x+tN5stPRQ})guPkQ?n(A)***f8sRSXohB}%P zor~U`pexNAZA9g6EMGO66=Cp5hN`2zJe|d;ac5Knli+Kx6P3sqw}~3oX-?`RGM=}6 zKGu0hC;YtJgFl3+@@}?Q_$Rj@n(Z=Xdjr-^D8ny387H*V$8gWmjsz)3=fI0yOsd(1duftrx1~K|qpxory|GF>rW%!jW^o9|Ny1T*U@l2SX6PjDV&py2 zCHeQi4;L=LNov=I;gO@N`MiP4^JaXY;PXTP7{iqUupd>h1c+A09VOpY?DHmj)+Ivg z>LD;J6Pj9x%s>x?S2l3nceeborA~0FTHHlmt2_ySB|^yoC+J=&Wqy)fCIq)CFHaJD zsY-A`im%-nW({$$azw$wmpm*?f7WZ@a7wgKCn~E`0(!sk|;pg;jW$S?L9(rpPD^w4qL#w z(3+s&IzE*}w1kOOYqWibYO}#R!?>RfB0#k)oC`W&gV~OX`qKOkbjX{C;~~*$0H#bm z4fwOw39L}-imBDGrAhD!&iwrPxkUdOb!i$-6AkQ<0e#hZoP#49)&O@-2>_R!g~dnxznsqrsw|H zoODNCCSJ;Z6o8rUd^1*=aj5Ue9%SBQZWO~N!USDaQEi!|Ye2JcSFV)0w_JarnRJfS zErgq??lcbwH4SE8227h}jco-26PY-Olx2^*0@_@?h-|6?fHY%6@ycDbV1=R&T11_G z)n?0VMJ)(`eRPbk4q6eY|Ck==;uP8D1Q)!m(L;+Bo#OzBPgA!|v-gG_^-a-eraprO zsce9yYRc(z71GpQ(aPLTP3uU03SL)GrMNvmAbf^dtlAt%i|3VC7dQyc5wPrurU6wA z&2C%By{RrV2;J4^OKeN0It{Z_ovpbdz<$)$h-_3N?vy*523l)FWyB6bj5C2d{&BnZ z#H4CUd+Io)#o%gs$F|s=HV2$DZp;+G_-v=;Xukvw(Ng& z+3_OPX-$}cUIIwpF7iGHb5Y4bdkoCm=}DQ*a+xn@8unVxfgL1hG?+UjzTaYiSJV4~ zh1{PTm=2?J91YS@g%u3G&JTTm?^?MJXg2>28h{j4@Mp_xUb z?*T`GHU~Ru8lXfD@-ej<$bg~K5B4qmb2JFMYV7KdI?#a@%{^#}c;;u`DRjz5Mf2Rf z^rPG-#U)5y|}aWn*0Arxxc>tQ7^W)#W$Z5*?})t{hjIq3TN3%z@YkfNliLm97lOC%><+Cc^n?q{^x;T(fNbKiULKLY}${Fy#1 zJ_A{i{FUIlE~)nrd}e$44?NC%)@A5*`L%VGy`!b8!JBTlAa%%sen$9_;0ON+kn>*N zHS)AW!E;pH%drUm?edRsR_;LEJ|{s=?Yo`KKro&aG`);H6sU*1{HlQ42U*~eqJ`*4 z@xz1V2`lnG8&Pq0M$q1$dh^K%A}t+%hBu$+GbiZ9!-sHQT)oQ=*bf9L7sBuCkNQGH zGlk&rs?at~P0K&!LrrX&%I79elCDvsL8GSJ9n4=};*sey26TBl67b~8DfOUsKwrO# z)=T>UIalKEAdu1d6mh(C;+hM;ONZ&1wil;BP|jS|a{@Y?%|l?F&-3e<3R0DCr46a8 zJqZ;BUy0NHtvTX|BW4Gj(w88)&~WD+Gx%IiG>3iEV3&T!455r*H%aaHcK9X)kKYV= zWtvUR;gJCX);*+_GgP&unQYdSbevowdz<`lY;IUH)DIVVCbu|LPc*CY%SCf);lF?j zA#qZ)*R=fL)o&{NJaZQ-KR2HYipURl9MtMZbGDs=+n!iD)$)@n)X`_|T;+^SwG^=$8VIH}jwy5&LL zIE?BsXHGa5^?OPhOIgR--L6N0k~jD>1!3#ukc zuWg~eye+frs2GinN;4+xXPwQK`EkWwxNNs_OZoT z+-#oz^>_4@Lqsd3h~7??a(beH5_ty7TNpkg570-%_F0ZFc8+6zLB_3I+aD(sR2z`&>l!IYpjHC zPN^Qt3^#2cNPvqMOLAQaD7AJU5P9q*Go~9ZbAX&!aQ&Q|X?AdzJ4}>O1Es#vB7sqG z&2^fBg_x;S0KBN0ZJ}InBRT?V5g_){8Ve$2s_QvH=Ap99dq@~NE8KNt4Bo=8RQ4U5 z>xyi9uUE51J%RYib9s+DSA?RQ`61`C9@hXD zNLnJIZZxU_Z(0SDI*ak9epL)O{&F$25;Wu)txvoBeaC9qXU?@rD`|D_grJ%h3uuAG zd*P85>c+bN?e)q@m+GoeDAL_H?7D&Aod6!`*}}{CY(?lu<-X#FJt4T+gLH!hUME*F zRuT3N7Bf3t*H~w2EZr{*yUJpC&>~;2b6O>6<{{fHQ}HA^ta?NIzl51?7PUDMNLfUn{?u688ePUprJhJK;nni6q=AGus9ug zpf1=U6dyk2cy`Q{W}RJxGwO`zX7WH=k2}|241ghBL55^6%dyXmYEd#Q2nOE3z(~G}L!q^h3iP=G;gLKoqw7u; zb-uqo*KmB@Rne*eSQ^OUJ@b*9{>61aRMvaz2GWMOq#q3jl+PVOg}VOKq^^g$?2e39 zH~k>uPXO3C>YZ*p)zSB80Tp$@H!>Va5sDj7wLP|_-0Iw@=|A)R5lYKVq!j@lUq}>i zEP=NIhQ4q$%rJKGL$Hlr?GUKspM3oK$MZNYLj)JEhX~LxDkH#_;;SA+po3hI-@o#^ z&j;8nzDX2}1psH@b~$%AEFI)ShbQBYL1v8p4j8~2V3_y=NPr&I#Qbz8Ki$FazWi<( z%%77w0dsuSIRDsuVzK{CV>XrMKr=*>SzLYM-uV1V>KaQSN@$j%9dH2HxG2Jb3J7iV zsplck8iCPKOuHWI@BiSFPimT+Yup6#p47as<03n=yC=R4uq&{mS4U2aV_wPEhF7fF zE_S8QIgf+^6SSeU#XAI5(2=$}FW)-*3=BI}0{|}C_<@YoJ|cAHH2I5kE_XEKzOu!g(c~XZZ&Hn5~2mF2|SDpH9@j&~yny==u?=<=OjvleY za%o>O@os^$9i>hdHPO|Ncmfy34?pnO(l?Nc_+chVlC?E#?lz}-T4iSE>b(37oG9unhkM3#Mju)h z&sn#p@d)%1lgBfC_EZ7Ee%yaQycE8JQ`fW*L-KkWEYIqC@O|{$J;jw^RkbZ!*?;0=}_i&&T`RNDz?m}Jg5oHyyLnitwhAr zHl^k`tlqRy6)3Q(DR`_DHcg3O)8e$g9F<%U!~p5wAW`lUVkFIC6)_VO_<;a63)BbP zWYtOlhsH!VP;5)ST?q6R?6EVHP@bec6uE;3S;X|W1J#k_?*cAfH@kYu5#6|Y`K6NM zpf0l^jH=t^%XcNm!9)n}%%X)PfGv?Puc^uMZ5BW@$1;X=vVcFi>eKa#AdtLh@%BJwqL zQK;)^Unq8td^CXI^mjd}g=Ek>VKQx)7!-cl0ux>nPPOGaZ&q|zL^RyAFC4HGA>_ND zZJ!d6#ch$cZfWS%7kjU0T>~nCA+}n)kq-y++b3`Uye;v6|BinChF>x6VQDw`q{IK( zdV_Nic!LmFeSk}ZP2ZLct#VnJuk7UoB5vSD3rxo+JD@hR4~}Y%J4L$`ny2Vca-P)@j zgw+SPXl|HjiC{q!9}Z`$8vYE6cwvQxpu^^Jq1!d>;gG{m+zoVbd_N5bS-A^5KFjXp zKs)nJVv+c%kyr#nGOI9+a4{=ZO2YRN>Dsi&rlF%EGCl2D@#GZ?fuOd<_r;cy zFqh9`RdHQ?iBr}Vs1oNw@UN^Cg@og$MGabp#Hogp}-8D?8if#*$7mS--4AKbYwnsigz_8(HSwgmqr0 z7kj4q_w4>!(RYp1PbYLQ(V4mu<|>?K#Deb^s%1`7)2_;>i%2h}M%_;Y=BN z4(pN!|I47mZ?hJK6ybXlN{O-{!Lr5C?r_l^;fB#yh1H_>5*j&Q_cwF_<&cgi()IV3 zcGv>$;$~5=TL4F@$Gq?BeFS8Zd;})SVo~PCezMTY zQdYL3Iayul0v}MZ)~a?w8E_}W-GY4vO$)8bU%aBpMTDZb+sj>a(Ng_Z8c~yN0PAZS z#c=VOS4JzMRu(e8%3f||7rkZdnGzVwLdsN>xvwcpaA2iYtZHLhjYBD!7RY&z!P}_% z6W3wH)me3(QJ2yhegSrXuC`@;dENp}5cE)8>ybh)_NhUGUg0Bk&2md;eOo$89B7@M z*Xi_3_)(|R?-~(h_NZ?B@RpI0Q5X!$ES^MHWe!m0fNIB&dUZ{8phIA%&$KSkQlEI! zNZWVu4p_Ep^{ByMxyW3Hh+6UEULT!0o7|{NOp|!AQ{@Gwfp9V+82mLco!ARwt!!W7I(vsedhy^* z0_$J-J-xBfp*Nrps%3>1#uG#@@o%`&r~N||(F#eMP9c1343q6K#}yr|b}b!T+qHAF zy@!RfE;slOVzHBb)#gX`LHT&;WL{brFhGY@J!AQx6}Kc|e91<8`Gbc`vi# zRAIAoB~B~Ns$BzKz-D6H9AT)r#AR|wCv9fza4h4^W@$G&+_-H)p>>dbXT!O{+k^gt zr2neq%XhWnV4IrG8Vy-{B_A01ZGKWE+4cc4p`#N66t%+IREVn@*urr6{_=-ZHM9fS z@{MXUtsw+Ka#-BWO5L80!1Xg3#@eeW*Q8F=x9WxlhCXX?#L2~`9oRd{>_?N%5GNlj zO&bCD;{u((nbVXy`RQa=s|=J-Hrrm~SfJWl1u;s1%LwoT(n4z(v|LNqYFk$5D%UyF zBtDz#g zVm0Q4v5R(n&bQ9W9dxNA?Ai!ZUXF{ewyxk)zs`{qzFG7il19$HqVEjZn+^gT5KQwG z={o0NIwp3*b)Y-6FdnOrv3c52KL7&*jkI;P&+Tf@fqWy$1dk+pd(|S08s5dW#0eDe zT%-Mv(KvVtqK{~=xTK1pv-4P6>Wu0~(|aS3pgQ4k{N=k+*}7+GVCQ_b;tGkVLL#n^ zbfLAFZf#7slEdKw6+(5q*#Jx%Z2-SD{IHmDXAfAyHLxT}8D>p;R<|hKQ@=q3R93@J zVYMr>oP(ykK^ar*0$LE%1=)_WUx$sn;V4oBBsrNe=ghVyF1k~U4AxV^y*D{Y<6&2V6( zkyFT;@bU|qBeG&MmCgGHKC@ zqgWZY6;1Zm_df*&okRzH1{c))AgqoXQfkmxKEv2^))Hw2SY0-I3qMBcvWR)&l?9Q) zPno@;DzNl(A?-{*bE4=oT6|VD$Iy*4C;?)3VW0$qmjku9RT9m3xU~`LQ-jwc%V;Nm z$r_6ef4EL`LQ)@uL-i0Js$O1f`hH+5YYajJ!8BKP+p8M0LAv0tf!l-+X%~lM20pS3 zgcZlKA>%blda*&kjZ5}q@tF;Ld!T~ZEi5Xlv$d?6GH2#EvX}lVD|=dWKmgnTxKmx*YdWqu`?6Z%3;nm1Z7)Y&9kx}4RXM|TCGLRv4sE4q;5^Y* zrNt>&(J;d7E9%V0oCBUYfzRE43?|)+ovCe+S!cDw-SrkRmHdgUY1CQduVr0=6_podI$|e@C~k(jqrcRewnp}OcUh|)fCzHXSDxU5UBHEsDV?8MDdK zCT^QmoD<4+fndd$ztl~r)p6s@AJB5W1-*p)RjPxcO5{H*6K~t)j1-9D#xlpCJZgo5 zGtFkJeZ^>-I5O@9E?S{&UK;RusV8d^^m*geijAjbkrXuJ2^}$CL_kdo0n7UI@SIjYZY-@xs z>A#Ac+GW_;_2;{)I##-J;M0pfWL>a~VH2rGvH3zb%Jfs(cCUpN^3+?=fZ4M;W8;cJ zcB1}`mZ))sBNFI1mJCb2YC~s$V;e>qh>!ErQZ1KKl+A|OJPNsa)CQ1(!!lbrXMTrZ z_b_Hk9krkN(E8u-BqYxOeE-JIaN;Y?ARg2UC@rS+bH+jAcl+%=hzPQGi3k+kUMV?=w)$I-`kB1hC*neM=KmZSkfh>Xm6i%LBjCOtrb!+Qh;& zRZ&|gHqB+kC((9Mh?7@F(~5T39Hs+R-omJQWUQckebKg^E-PH8Qb%NkUeGICRqt@g zL5*^tBpE0y7-fL<1vm7ut2lxe$jp6a{lYx@D1hP8!gru!E;{-d1)}9Jqg~!bKLp9; zH#?osIi$K|Kcucjn>(DoX>x37P8RtZjyV-}eq2F~eR%oq9k!-To4x$80u)bm;A(T zNywYw=0-IzpM#=4hc!}7^EhOWwB?YB_><@v)FI9Hr>DNWhm7V~(y))J!w3L-oo>XueLU80kWnP(iprOO;xMhh=n>4+X<L9$Jfib~kAT*rifmq2vt)W%6D4_&T0^y+{pF ztT*?yt2u4Eult;FR)<+Je;Ihzzwmqi$l&CB5A0?F;SOqap0@1-&lh9_2kWxevYl^R z8pQ<=!#wlZ!Mq{4*Qvt$p59*N*nwmn^qRNuy;!If-PH2^&IF&G!x1Q3g5-v(kKG5U zAqJM1T)pHv*Bc+5{7~>@`EmKyj`>mxpbx+gV!p6R33mMpV3;>9C@?U z4D!|nexdJ_dX_0laR&R&Q?5F5f+S>a05K=*%!v_-eOB$Bk?vegHyplR5$2Qh+UWQm z-m+^rp_#0GCZh~>)=`(WW?9E(p0ZAv0W+S>n0i8^4mej+ChW_5x|R8L!96N1ztkf4 zxXT?L)`IE94T0C7G`P_ar1wNe^EKA1OT`c9Gr7}8azWL|Bcbhvi&*n7Bk!coJ78WH z#)L!WsPs6!k$HNf@RL^m!k$Q)4@@mabCnZDuEURZFfi>6j7B5GRFG+&X=R{-u5EO^ z*->(3L=rPOsTje?TH1)XL#|^Bn8!N4Jyx#DKQ+@`OnVlOFglOGu}0Vfz+OS?h?@o+ z+NX_jd!y2R`raj8%gkE@UrF%7{&Gy)k!wnhl(Fz6=XE3S{S6rSKH!38UZIbvp z0+eV%7qGrX5ar#_y{j3<19E>Ad?1(_akuHv2hze(Lx_I)o`IFBmyui-7@EzT}5v~A0Y1}O@0ghJegi#VFP*KYLLb0YTsRmh>EIq-n(&$kW zIezBb+ky`}%{Cd^?z6b>07ccO?Fyq|Z9%0>=Wf6r_F$w&KwGSHo``~>bsoDain_9f zH*z-MS3BDKPm!+{qs(=61rA&`JkRqZmS*I_M*yVGHd!=j@`<>nJ_8G#vgsU7yZUl(t*VhR}*tw0WK#%=QqGgvT?=CblU(^tT9Ld0|U3erIMH7r;PSfg$}St zfl!+U53&Cloo3XfW{zNBaq*!9&_(!nv3OW4IK?1TjGrW@3Dyd?=n~V9r@ry`;UtQR zA4c(g=%oHb93sWkh-91~zEY7eWH)V@D1}euNH8-fd-wA5|LH&5?`gkZN{kBB_)g+J zc%dYs-6c-Jt6kf>zXQbu$>QiCh>>ir;uc(SK8@9f!28Vlr)k#HZ8D6{E!0s+SLqB@ zXQv!*QCm86S^O&AwDl=tKHTcau}lZmFfoo3g^u@=Mf4Lte4t~2YcY_hjxZZUn$_8n z4#Jd}I?4mpQeXiB_G0ha;*edZ0~(#n@x&3MY+%jF5wcN>uhcMwZvm`z3*d)~!%r=^ z>MrtwdN)j#Qc3J3lS9{Y1Dgxm+irrx1cnkPUDldbzMNVn z^3IvY4@GKN_B2x@IwCeLowP~-y3<+S(w;JPUan`;d&Bgh#i+Ton1hqp@iHJxjaR z%B_CqV5@Ka2S6IUFIZcM8#8PkF#?;xo($|15MyA!2Tn`&K9>zQ)#|YeQUpX@G%sH; z_^HQEklt9xvk(w5C&Y0ZvU_7sR;tfwc0HZRC^z9-Y4%i6a4{6HBXF9611fk6-pF2@bPAqW>k1ml)K*}0JK9TeVr4XtK!hoFn$;P&$^~b{$2vOuP74>#=Co_q zaPF4(1=;TfQyW7Ao5Qlzy1{#$DHnTZ&eUZzB=1`!%$uCqO!K?VYi5a^bOLWNo4f1x zHOmY26Yl%4(fR_D;=mMEK!adn3U!Fr73l8d%`_05f)IKyqUQRvJ=lf?n&suB?_E_v z(u;0YaRi>?KyXm+Asc?(H^Pp^Cc&<{$k~C5_gS5yVYg0ZN0H|a)XWtBOtXu?z|oGQ z1p2((3|v(OojLoCFslmpI`FtG8@YN3u7`9y((xgsnjbjvfM4dOIrzc8(#gzl81~O} z+O6gG(7&2o;)&S4q_KxvFAg`OVgVNc#ZTwk!s{oe^g~K7&fiykYsiz74vXGR13@w) z=yMyI!9dopCOtWr9YJn76guHqGb^$5&{3SdSNc}>X69sF?8}w0rkz%_6)Q5S_h@d; z^OCL$&nl4ll6~5*dx|&caVbxk2#hMSVYVz9T#vwLBs-IH-{PKJiA+ro$NhBP{Jy<| zxv2nb5>qw9g>5>1rPEw@zUV`2;i}|j@UJwC8Ce&z6{7neud(jc>g@I%m*i=4v1X*? zi=Kq#9y-1%e!n!&=Q^A(qWQ@*(p_*~!K!W>#bHk2eB}jZ`J}I2t9u?o*F7m6h~Hj< z!r9Irye`|#SwT9pfcjQ2YIV{9&kXoSHW_%Xf8yyhE5p)OUn(RU=JzPRBRSOG8t(}Y|6KjQwaq9UE95QFxJBg!_ zi0AbsTDEzyW{37^T_y|M@o2F~-bve%@?wX77A+CXcAglR;;CDUaqyyNH9(I(;Qe)t z+wPN+JMWpgPors;%^4BqbU<$3U8heOJbhU+xU4%i*Ngg6%GgENQ!d@6Z;E6wXm9Cl zR<_+@)d5HVLVUKkV;mPUNz!p42fcHt)_nB?r(bS&oZ0D|4S?Yj${3GCy}&wxhp_T$rLo;Vv>WyUFh-Fq-ICQl!7j9N__*OnUUi-O^b@;=HOB{YrHUEF6 z!P9;ea2ToUTR?^=amSaP7;a%&GhtWvyrW;ZeReyzSE+4Qu4cN3zevV{0hbl1to*vi z9{VV@cmg*w9mVbETce`iLTFU2T94XsMZ1YVlB7`UVN8}M_doUQB)j^i(&BAdN{wV&PVMcKpBn za+TcDfzAuRu;pdee0NZWscYi^e|F-=9{ylwv+o6-1PMyKUP&;8e0~j`|Kkg-bHO%4ko&(Z9dsQi*40iU{ z)w>JcknF*?2V9BgJOB?I%C(~UvhP4cU;{P$!W}@ZcDO>(A6xpUhmoj%rDHpA(pu$g z^2fZ-iU0bI^1$IB;3Bct%PCX4_E>@Z{iJsJDK`+M$Evsp?;}QvTEamdIZG;<*bdn1 zylMeF&EfnhPT~T8q6@0;7BDHB-xEM5lKjihH2~}&<859S@SLq~l*)O`nkHwi3=n0m zFIhd!i-Y|8`80HPRnx$A+tKk>HAraNy5LeC6j;`ByvSv@%kg^oI~Fc1u^l59-pa8h z7Btzu6VVn~<*HOoUpNl9&sTV52FnG%a1{pzRD8XSJ7QtJ4;iq_(%RQx;nO^&J9Soh zJ{e7>k9CDx(%7R40N{^0+xNH4vAUd+VYc1^PhM5g(w2le-HmKVz3i3tq!|Q`CVSA; zVg}b%S?|6F5X3{qPz5{o9n|p_?A?i_cbS7g3$C#i>3{i~4acgyd|Nu(y>qbdHq;CA z^4|H<0oFiw+6tT%V2GCBb1W=Mj^|o-B&m8q-w4KDw|@H&RHx$Q7pI&) zS4F2I=xX9MlYlyy6&#?A2g+VgS1qyMRZBdo(nb|ed{?l2`PCtN?q!2xJhUTu<9n%FQK6 zUeWPyTL|&(xn|^UZTd{AU8^g0AYcv?c}^WTPYcrs2w&I5MY9?8m+W?3=+A(Nq40lb znO@6x_g#|KgTMF!?&`StwT3rd_PhMa@#PNEu6MMVYXmMyqZ+aL{;IZ9Oy@x_b{23Z zUwB%vy}VZKnoD7Og+PlMSDn3nS7$JM%M2DCXyAv6uhn{T@hF=3+AkFSPb;;#*CXtfE zlW+KhlPm(b#=NdQy1skvxpkz;j|iQ&S91l>eZqS^k9cse4lshJ%ru;S@syr%;}wez z@PY1jT^6HPb9sXZ`f8fil70Z6t)$om5Gxcff|~_MM(?aPaMe#nw|KmZ@~h|BC;&j| z;&tumWKgnReme~obCvEhmhKxS1MHa@x;4(E=`g{-+{eddKL|ZP#_9D9t?uC3TbLnD zQ}T=5Y%iz71Ni3N(Cpo=WAg@FW-YdN&Y`VqbLOpFqxAjNUe#kYhw_>yNZ0PIW{fgH3l}S@v z_l4_2I?3@&>(8og^AjAEx++N`I^272RY`hlK8$2KoHN|>X{F$mEWW*xEoN3ouI^AC zQEyHr?i-3-scush-e5u$X@t{TK~on^nS~Q^e+Gug zoG_${mSy)9ozYuU>THi-r&^vdI5v=V|MR~)j@rh_&~U2r1<)?fHuht?2B{>2dp9Si zxU6$!7kO*L^RI3z0Ece?t~C&~?;h#oTGfo^lWntmCxgqsU1oHo5nbSz1kS;pj=Puq zH&g_=cZYnicJyX)8U^C$L;AR*0k5 z7KVL%b`L^5W(xjkV76@c{LC~tG&8ImS5+&haj*Lt?& z`nE|7wa!=8s+eXxC(hKYfIbEzVD^Di&$Xh6OCiG{{q$}sTg?%2rYp1M@M&6zt_dceiJ6M(;l@!mCt3!db6cOuy4t9N$ z7Fkuui8g?bnX}1?oOk&*GV*jr*DV)>(%hKd2hBZHUS}kxj%iSTQGgI@G%5^ z?T#k_P@Sn|cG}sD7+W|71k!{5nAi92E9H8MS$IzPO4HSfS!(d^muKrr$8LJ5$1moc zcIpu9lY`4-t@>a7RAaRqs;68tsx>F7-3luUuz2e=<5Ai`nufzF*w7u{rfp(%YJ_D7 z4hU;(EsnIu?R_-)?Ei($KNi~A;zGNMM>-9GVrd7yk1V6@MJ_x&Yg_`3HMl7WN4*B0 zcbFwfX77%5#&^#o2@jLij)T4%VG99e3(pB|0vp^;LqJRJk~RWci8)mDQmJQqzf$Lt&EhLkq$EsdPzPATkJ3sP?LA7boNt^jH8CL$B0 zolNY2)*8{%V4%+4$czr7Mlf-LDNi4%~^;{5OgvC0fKj0@8n=8itM`sIHrMY zgiSC1xx(?{aBuxT?7d5`EK8OqbTYH5sCEV|7$Al&xo+OQ$$NK(zuk}2zW~(YFL*?F zMEDMWMEWD*#2zBG05w@ch(5-QLPd>x&h!rrmwh7Tx1dC{Mc7N7RLYDufrs(1sYlI3IVLU8@~ODn?^|_%#@#5Zp@ShOvSr+l2Bvy7*3BAnkHD&f+c&K==l9tCWf}zC;Z5A ze9tAS(!z9~;xDjd1*Ag~jNTzMDex5^)!Po+pw+B5mSabe#~W(XCVw7w^rXn{byB|j z%G~4?LBser=F78VCzcMnjD#kXm1Lhxo4eeMCBDL@nrEA;CKhd;FrR5;2evJpi@q=d zg~q*6t^ioNw@G4q=74@>4p1V`n?2Ty7co|wyh#vt^`)rpw`mC6*p@yr+~>+FYb+Hi zW!r&_koP39)x2xK8FnB7*d0>SBK(6HszS)DCsZ)bF&}*B@1JM9^1Ih9T}X9HqhX|{ zni;HY*I97XeUkh24`!jO%CgZ9vXduUBbrCZgcd{XiHNMPN=43~)YE@spS&dd9WgC+ zmgzM%BCCJ4HNwH!MdR)bH z5|&If?h44LKd<`csLMx{g;c%VVJrVx2gxKfWo^tOi*Urefv`$)LjLa4{Xd92QZ?3% zIQ#>B;cOLpkHKO#P#owu?Alr4>4IlKE{m6z+u^Hyc-s9pX?~G zBCIvREjgu2)}$uG>wUo(7+Q6oJjb_U$%4$2ot7vun+5w^<PH(Uc&yuY%3@MA>{JX#${Sy40UxY z+xD#gbm#UA+h-0>?vK1AQC+I0R2}Hnwr|i?p@d>oo=xdkBk2wga_`mEDx=j<2ge%2 z{_W6$!To^;eQln)`sE%ko=1=h14>z&?9qG7WLw=Q@6pnT44cYts{y-sXaDlTDHafg zreOw~i5#Lz(xn=X-Dllxx;7&;%Xu#@qLaej6CZLN27C4i zE0`HmGF~=!YN*!`%33~n;WOL*Lgm<_{=sKgDHwgBY&1_Y0ee1d zMMp47M6(U~spoPd0slOJ|Mhq8lEWeIA>oO$%d8iZ&@j1T72tS$zb2?^b>Koc(;{zi zwinE_m(d?mfb2Jf8OgBAH>r`VT#e`0hc+zCqZvGfI5uH{HYiwjAF#7xy_nD&6+>u7 zO!5Mg2pzxb$)uyR_HK5NFy3vlGbbbH^!@aoVD2$ekBM2Z_d(q%3-R>-4EkAn)`%ND z{h+5WCJhSXFzLki;g#u;@hX|?ekeaQNXd5PU6_W^to3TijGW?i)jLVr<`F8)!Krxy z@3rkf4c zGLc0#E!4C0)ma?+{+jftUm@)jL5zlOVa7?3>{Ff^rNU0_V_mpfpt+mk;X~NVzF1Xn z-^SP|znBWCii2+}R&W9-HeK^41{DKnC>GZbU7O{v*9SoN8sfLfR)plGhKqK#Vv}a2 z>iI<B&?!t1dst?+bt=81 zUP*y<$VB9_)$1}h&N@y14{diPXbsb!4DD!NTdZ2=Y2ok!^*mikZxruAr0?!rO{Ox> zN4;;aE!*}Jkrj^$V{LL6y!}*d_Gt_C^#Cy$ex)z}c!nS4gxgk?%A)d018tH7)ynKV>xp-wCy3+*`Z6R(nS_itZus#3oTMQ5DGiN}f_UY!p!=9NA z^HyV9HP*Kpi34E`U@sL)lzw83pS-^Q-a`D8(JOsD8DzBy1sD=hUAf>@SmNhyz_W&6 zq@}|5(2_rF^G^Z2II(*{fBr;|KB>C!{RiLD&q*&ll~t9yyqx5^z}pty?CgfJ+ekK< zNoV^lcgDlN^TT)Vc(ZTK^Y!X$nb9BKV17V#mBOoZJN7(5TxRS6{!LWcpvKbCO*F_I z--DH7jp0Upy=5hChv%e(0G?Fn6<_zl&?mP0aAo5R6^Q1UpUd89_M|fQ67SttxA{Yz zxUaKfW-+EqY+IBUfD2e$uJ3!i#vj6x2BucIBw8qm&QM4b+S}LlJ)al(LlyfqzLcLM zGkSQ$Qyl8VuMHXwKlUfo>_uZeC%7|c!d+h>wuT5Nw=dt{F%F(hf2kPOXSu@GMQQ3rm{7%CyUUpekI5pI*-J{R$MS4dj?bK!$SOY<2PrX( z+^huQXGm-KmSE8iz6G|YU3 z<*hUl`L}BlE?Zc>lJj10ObRHu%(%rDI=(9svA!1P7P|i?d9#zm%JPIpk59f?ab?Wg z9pI;=;Z;&5y!sZ81i9QVnTJy@$1WS*X4{O@+6Ra!TQxDuuoo$cwyYqD=TkmZfygtW$OSP)c@`s>Lu|F(UXqd?%eS;?Bn3 ziF6RL>m4aA3+BkpOHa zYn6;}5XTp;3sg3kq)oi~zB0u@VawYt3mfnBn-de7F|@g|cteH~2KR@QUt0o!%d^KZ zmdsQq3t39JmTN34o^8w)B2QC0K7b1a(15kb27P)f_}Cl_2zQlg+Ycke2VgF0Fta+Z zdPSWeCE$-+j5GPXt(lO_#>a9+n@X-*UO^7cZ5Tj^_E=diefwPpe><`>?=a+=dz(!g z&)u3`=6=P?(>>!C*V*tj{Y0?C#Inmej!{=9fj*T24(t>(poY}3c%R=U0=z*?NHq%h z7$2tl6Cp!oTW8W3#~6yJdPn-?otG+(pJGzgGQ8MJ4Hc}54PRPv7nUH7SYc==h$tE1 zNVZ;l;h;j->^gMWRU;^3fYIQn@zOfPX%HFz`(KmfY&tE=sB6htwAS(eDqfNJHp9EG zp`6Zj+@`+BmK4x0yvM~3ywni4<^!|?j0S4%AH|EFsq9Ukt~=iQg-3s6t_mhv#UU|l zebW{eR)3L=?ckW?yNY^3rpR|Cwalu+@hiJKFJY7!ubl=k0PhzI>y-xL$yI!l;1oGF z`|LdHgoqe{cUQY=pUPFlW~FcfD)DX9uT&y1@4bb!-!U&`1xgfVN#n|mP&F7yre`KP zDza9d6=sdqsa()8E#|s!P(5Rhom)W(IM5+vmmQcaShN-Z?qzKYx(jG^R;3rD!1 zA>T^EYUPmiDJGbk(3Uq<4G;%Odhd(snwWe!$db$PwWT4A@hmXxAioiafmtiDOcTcFb|Z>)NyB3C zP|ho*hg{{UUyKKID{^xc=1KcPSs- zS~hm*7{(0QP9SapkFnPTL3*`_UTZ0qhSpWL%_UK9I+t?^g6D2FNIHhkzZ^cF8|iy5 zcx8@Mi12eoK$DbUJI&oqfnD<>xsk>wGTw*I$ri2o*BzN9Q8k9t>^Kc@04r^G z)?AH=s2{BlP@F|O$x13vmFh=CH;84r8fBL~5FL(hq-c>3GcPwO&V`ptk5m1MSV?@J zwNIX3TX(Zn2Lnb+l01(>yRG$`m;=G``H)Coh|8rX5kb&WnP!e)8gqGq1r8=xGPBi( z6%RA6%ae?x%=T(y^XiA+DT1p0lDj>kKWoJ9Ch8>A)0{O_%HT%rU?^qQ3Ttj<~9=s@X|$ z7-k}vis&#o(znH1HYNMj_LR$q+WnTyMtpysobO?t>~Wq7*fvZM{fQ+gExVuYsGNqc zZC4Uq4qb{4&AX~8Ke73q_+%`QNoKiQ&RT0sDzhqJ|CLqyzx~#`cQpBy8P@s1TA~!a zvl0Pj@WG_!F`RonTs)VnYs|fF{!>+_mFlZ?Kt5bwpHv`%yd3yW z9P{3I!l^s0r^9wkeV?i-_xSR`!e6+CKdI~v4Bxuom%8d{z;_pcX9R-`gnhl4$1are zo?l-qqhP@q2*>@$>+9)j)Kzs_R%czu(|x25wh@i5Bla+=ZNHf&^_uFP8dL%Ea01I; zIDun~f~xk^TSJ$nFo1OPhWg@l1=V!APv&!@|EO@OGNNJzZFfO*^T~ca@VQRg zy2`+8*4I*aMIKqC8=^C*6}>hE!l(xJ4_upGe(vOe95`Ke8!%a!1c6g6dis6Jw|(u^ zIMj+q;if-5;{uPF;A*IOuoX;~?=RTi~%A6nIV)(BE-9)Pq;%PX;H}L+U}g zjeq)GuqNFBYchB{)MQg_m_M%Q2xV6tdByx-(s@!cLDFxN0SwTcn%x8iQeBb{?Kz%Y zT{Ty@gi~0=SC9zrGhvJx!xVtg{tN)d&jvu8G&6^N#2L&hGN?7!Y10f{x{oz!qU3!L z#QXgnH<=0SqjLxL@e1sb$=qx6REtqFjBb`6B{&XNB0dDqlXe7?YCKD=0vut!6DG{- zB)W_V^xl9bd9#)82TSrZ8~y%(B=0wTXJ(Cm!H9{B7T}8E8mkU%W8Lzp?QCtb8lo(I z59xY{qZqt)4cQ+gj?uO@CR8Cl8ti!6)mjwj6&)8=7PIZ5Hagdnx+rWutRG?L@VIYa zhKyt#m1T5UZL!_WDF$uz_GaSU!Zt27>W_s58(exxtWNg6Wm6mx*w%bZJs#zO> zJ#S-H^e)f7RkadK-!y#KdX?*G$-4wYt2L8m$EW#rSE<~eGpfEbr+QWVg7km>Z>mjO z{FUXt^TF)e6{Li=dWt`t7wxg>R;#pWHeGH+ z7ws;-*LI`3?K1v;`073WVzbTuEGhU1lv<}{)zIv}Y;zz!BXN(qRjV9F`AXCYA_=)X znU_hnugb2zpq{Okg*-UEN_`woXYqcahHRPZ{FG&D9#^V8Y3cs(F_U1;i_4T}sb$}v zB`6b$5D_sQXqKtCz)+qP7mJd&g~@?|CWJ-E zs{=Eu$OFJ_!FX#6(R=8nA^|FVqh<{Dt1V1A_IcfTt89P9P=)i!al>)2+Nwx!KJ2YS z#c+;Ip0pS39B{tk2pby;KewTM)f81D5Br6db61c%QR)D7I&GW1m8X@(*!iteE}NDQ z_QWTV&1u?5Jl_%ANE(5L4u#oqp@^#{!X>ZOSILI)h_ohgl)g8&O=U9T0ZJ?XWUJWT z3Q5&8>((a8@~%#&&Dm(o)B8Y|yt)b8oc;LzzzttnDdS8_E6F!}hS*nKU3C}4<=Qb% z^)_&yDvZSWCNm8G!hOpQGuFQ*ZC}iE{9Qz9LhY4?IQ)xY_;H|r?gYHnj5F^K%(U;) zALlI%p+9uF z&O(5dqFUE<^}9Riuh0%|$yKH$OKw@-Dp|o>8u^wTc!l=#sC>VOZtN+HSw3Gb@hf?` zf8@H08~e#C@&YyHuE316tfpDQ;>>x3E;E8q@J{2kW5~UKR`fKF^ika>`IqKC@Vi5Q z6osEEyB;APfyk*~?32*Y1*DJT$_%MS6+B;7Rr{OtqsvwD0KEnkzC}xTg?=y_t3|Ipy;&b*umMDCylsl3#U1(%&g|%F!_Kf{ziEX9Z|MXS z08BvEn29T|zlnH%Vg}mF(P{F2bY3AG&qjwY?Vn}Z4ig-|wTVGka}NIMbLI7wcI>Gv zyZubGjAQ49ovK;(>^mB{YDQsAVR@^o3D~#u_6CjoJ2rM@(A;atl{BqTgwEZI`C!|L zZ`+SrU?Hylbag;n>7h&3*Vx_ps(tQS@wg$1OFy8)+Slo0Z=6QzTKVm*qC3*U`?t4F z7wX=HebQfNxRTVZV@K#Y=w4yrPAk!P!+F`w-}^R?fAV}Pf&6^NTW9H(IHXCfpzqan zv9qwkh2#74_rJKWIDY}k%|2g6V0(c-d-s#qSgEs5%7%|BbhQ_BWeGFV*>S_rbKObE zklWX)lD&@q$<`{G$JLpT!$s)XhCe>OE&4jw?>@PDeFK{hRr|=Qb~JhJQ;1@$IzTX) zvJQkroev?1_)I>&+X--)RAQ35rYaRm(sQ!K3K%K|Xv|;m*>1Qf564j~nN*Q(>P*$6 z!+IEM<2e^^cJi_)m2SL9=B6Y#=4)8s+w)gDXW&w@kIKdP0sN}D?xT+|AVEBPx0A=k zdqX08a@H21WAn*w5KzCbH9Sc^r^2B;f`v?88T!V|C&qcTXY%BQ^5oE&z1EG=*uyU^ zQ$6sWco+tb?Krcix=|SKO__?T3IfLo2~aZJ{;7KYBp?m5c2ctM3>-S1@y+kNdskMx zaM8}!DqXV5ldPaEPIbnG$zQ8F+h!WJNdPgdu7S`JW3VwF80t>XUaYZ4tl&eIS2%Oh zCeIkJy-&<-&Lv)386WBLl%R|Bf)@`0HGhPqe)2-1hcUf7@%c=~sBW!X5=3U{Iv2O^ zn>1{HLWEI(*b?`=PfE<9S_yCyU&EkZRMH9P)g( z6%1yPUKUxq(;hPJges%aIO-z_b0;9<#A_lBjJd@RX0~h-j6D%q*JtewvKZ-L6OL$s z5Hp1*BeaZsZzjtM2NTBaL|E_a%L1&>p+-$1Hg-wlePaYkJ)BVI)+AT~Y0Wr)N#I*R z@C$kRTJqBHYDW8%c{3)N`aDe!oYdM>z*<?!uJ^Kjwwu9Xb2}hz&19qBj=YgC<-?F|OwdrTk6cyj ziV2cMQ^2OfFymDJREeE0dA=0pekkopLoxT#XNd@FOs+)A$b}?dF10}+3@3yF(rm!$5RtJyVwtX!8; znB$V*kB(2H{bNsNX+adJgiE7QP#l7_M|0%$IY$%B_=JrTAC=W)81%6!FKy0;jy2BwPhaoYtps9ZR({lrD3tArIgivHlOtpQJmKyU4Eutg`MF-@4 z{DUS>GfsyDexg{SVtCX~>s+k(E01X6SRT@fyu|u{Zg54Q<>pF@e$^ER&P&Vs@~KJf zmVloX1KeVXa$7JE?~+Edt4=D_Ttg252@gsYLp4_q-CT1CR~i5F7DmDw1rQN;mCKH_ zX^xqz6tZ-(KAT&tL3yQHre~;rAAcnQas0pQ%}LSUjl04LJJ<`vycR8tUX6(&^|h$r zST~Fu&C;Q3AQc(^-f!zyYYn-zrr|A7ggqWUyGe+hObjIf+nKzRt08Yp<=UY1$FCWP zQ83P#s>p^(va1z-OV$%NrA4nU_1I;mvPc?Bya}N5*$T1@7SvPpg&F$#&+y6Nx5Hol z7ZgkNSMcP0VMh87J3z^?MLX(SOg_N)-lmopfUxDnPr(!$1Q9Auw)h!V9dD_TwKD_O0)ZJ@1L?jz1^m+#X1d770jyJW`3j5K*v*Bse8t zUx@%wS1m_Z^YnmtoK%}4G1m3wa}bYAk8>b1YDY7sy{jf&N(-cJ6gUjOe296U3XXeo z_5zkf%Yo)IQXH%5@fXIR0K~UPD`0uoQ4=qm3#CBnFDCVG$h^;5jtFX?_zyJ$HrK$7 zx|3eJ<3PLYb<_`-KVv(3le{?Ns7J#OHS`0eyVC2)+QAs~B)nnv<`ky#k`(NQBU?tK z)~n6x4y(H|dXTk$@S}I{2&QG)R?4PM$$q;w3FHKaPs^hQ@+K~xa3>-NI=Dd>@%!f4_@a2XCzpJq! z%v(|>npeqTXuz^3bbQJhdVn0(0C@>2)&WKG(}0FS7if@AN#0R~Q_VjVs48F8l}7Fr zTVM71NDU}sEniKT)It-hbj3u-Dm=^9ZRARoFdsIPMmB6D?^YEITY3jp`U~m4Q6^A* z*ojR)7g7Z+C~T1=*_OmaNOgBqQ`;`Xm@`en!#jh&z+Vcd^=%7kp~`fj1E9oxb*XUndkA7$1|Mh`MW%S@`E z9Ti!N-_g#`u*e{eDj-nqV~hjKmLLC-`H=OUfpBGda@sF-hB>x|*c7_w#k$aIXZAfFn}+jnDXCXa&S0D?wjO~69T2iRu(P9PUx*gq!+x=B7C%10^h zpa!(V9=ad@J}QI<%cH&BR9(B%cs=Gr-RN(L<1Fxof-}Kxw(1Kuf-jb7PD=|LOzA7UQx&*Okx0Rv9wHbHl@Qhh;O4}4L>d}GAmLtS;VFPgkMCVPI<9QWfl z#P5~xVsMuTDFtkS&+~Md5Fqg(&z6%fT#n6_NaPPo;y3mP9SVy={q#KjpY1xv-~ZtZ z)|-ym(00K%tbnvpcut3k*yatt+%hw?d_>eI-tvF^l|Wyo4B1bYlEH+q9xyLpUof1f z$oBin+-3EVZw0ylF{X*#6cge}XZ&tpbyo5{<%yWeR=|t9=R^>fvGTFOi!yY zwNL3Kk<7n~urWdls1@^U=$!1ZLHYgoa2<4Y0n<4-CXARKzWDv$>Qe?}u(4sKj)~jF z5R_TvNA)yyy8>7-W`T#2NPw7rHNhsheaF0F&knqC(L=XS#M9exut~U~XN%Gkk954A z4lm3aD-z7MXhH>yFuU7!OMwKT1qcOv15jaO#^u{ZIM$6K#S&(Y060L7kPAVo}QD~|6sCn0T7`ltt6TpQjnYbsT!t{1Hr_dk|#n^kLhaP+Ay1t_4jP!aN zY08(tlQ`U78>>C>66$PXQJD{RM7BKF6(oxp8Rv?Oy-+wck+rOrl0f$MV1?LZ6r|{c zoOjKY47}tpczMa?8D+|vq7^|x<4an>H7x~s>{@xUzd2kXh(!cISC42DVo^`5P7WTKPZ2dL(4op1g?$gh37tVu8Lh)Hr8K;@dTf$n+7}@eO-My|mXD`sU$5pc3T;JZ zvYg#vnA(gV=w#B7qXc4PtZPLFFRG;kc8Rol9+tI=Cyb4M`-c}Vas3|&H{uNwV$i`* ze#s6CXP&loLKHvV^m04@02yGU6G#YVymjJpz-6FtFRwT?&zeF zj}2ccr2=HBEA&}$6R3JQe5v9F2~YLUgaRlQ7;fuS*R55(rOPGqSY z{W>GyoUTG-NSdH#mF!jSA2!!VS4%yfylS*-$%r=N&F<0er0|a*8$7QRHumtFI<_R; zwfbiGO@E`3H1PlteAL=#k>&&_C{rtbvR(5bz&>+ezAFN| znap5e7GmyYJrV%|UMq)7N@vHhijAnOvFuOJ+PIa@L9%dYL>$WQi5g_=0tzb#=F-^S_-mI^q!&#pO+%m_MV$&buxeBp+8=E=ztz`B!pG@0XPo2TWBOz-C64>V|~9$>PxmBJ>x+4C`=b*M)WLP559 zV~ZM+fmLZq7esDAjTQR4hL-p8V(zOvf~HVDN3zngNso zVFBAO=bmtzX}7N%FKE8(s*^eTX`Cwcn2L(z<2DJ6lRy#z-n*_=l#`k{#MZCyKUd)t z0YWQkQIkAfH^*w$RTJr7kwWc)=0_(;W zpLmlVTJw%TkB=gKMLHuxX@e%V#)-xpHF+vX!S^{Ih(se1CShcnrnM*xZ>eniV{L~3 z#yp`{$uheqlo#Mds-{caRP4$VacXcVA5uCY9bmZXC+x9?XE_A2*>)|SHx2d$B38yi1NGmDiMA-6FS*H@Q-B+G(uNugAWLbc4C6PTj zzTej#0eGzFSgsO-Wwtd})%`*0p?9Pf)M6i^x5n-Uh70m^XG#X3BB|$DF7Fi8mi%R7 zYK~v29FCQJ;&MarDbn(O1;-mJ1eP0F^x%*i$378mlb#Fu3}MqMo9j*vV*58}vUK7& zEJ;SOhvN)VdP1K>D=oL!AH_EiN(oxxB_PbAVrf2n@yJUbENx!9@WSepZkfi^O3yUz zum^Y!uYT|+EGvE&EaW@K;dd_Ye0E)~GQ-({Z#8_Kf&rGVRrN5W%gV8aC9QAmV8R`% zl*=nodYTo+bVF$}=FHpH9sWV7*n%3j2U8s?QSId=q1>l-iVn1dNeP?$U_h|jY|}2^ zrA46`#yLAJN2UVD5Ofl#wP`KXoCP;Yv<`)>q!MZ|4>rW7$~UTW4llqe8YSr-Rz2A9 z3~U&=e8lfTvB6j;#KN+vIMNq7g#MNv`bJzw{aH%4BlIV-_BC`e{k4p<5D!r|R-?YG z8ur8S)WF-es_ODmzA98r&zp`ZFRSQdg4McDJ3X-|G#dzV5PL=r0g~hr+)GMq6_Pc& z<^vLz%u?_Q#^0Ml-(y4A?!>Q1 z3I;Gdqgw@C7>RTlk_6nE-1OUIedNvHS``2p<^`M-$S%K#77mPtrTTUO_2MKUM?%26 z(ZT}#TuYQ^sj|R$H;BP*lcLh83AsBZ{e}3IuBjMJ%gwugP8%sY?V>8@%!jI{tt%Wq zS(&Ampqcsz~|}GKl$6O=YMN#ncqMG|DEIx*yVEkzA;k0U! z^2JP>gYs&upDSJ>9I9oWta(*U-1?lDK;2nad#;|d)`Vr=@S)0(tcVOrTG1O3+wTkC zOcSD2ZIX=7V@0;D_@09<@jmI46-`GJ=XH`bbndEGSQmc~MzS zHAp`ZV@MkY6QR5@+7;bdDhp~HU-Cc{D}V+G_95&=tDkik+3sxd9*qDyP`_L8hhvuF z-d#|68FHNJ?u9qs2WFXEXg5fHTM~PKSX*UPW-q+n;waHk5aVmE%!JSqBQbGGB(781 zbd4TRhza4AUj+Xu!4#nqPWXiC%u6Byv|6UTF-gwLtYv=U1S)r>a$~NwhbHE8*_GQ> zHI5t_GoLeP4UnEg`tgql1ejrVREG~{p3!HgmWgE!HE^(mkbL~3ib_9W(YH_x3J#6* zTe5x8514ork_a6~DiNYn=Hbhd z%J?__HT6_3IfkwNH`gkTMXQp^^ay2rM#V*+vy0B6I!TfqAuY~F!H-7RWMj<&u;0y)Ir1v3oMg6!g zUUp1IjQTFl8TV=7FG!TMZTra;GX7KOFo40ceq!1ZF+c>dI$LXA97pluDqaG`ORSi% zH7~C4!h`}gHOjn66H6l!_5>Vs1~q#w7Edm=S&$*xKZ@91Z1BqUYleFDN~!WM7%4@= zuz(W1{y@pWZp;2G6e(VmfmC3{=no&6%MIP9m;s~P%EjUn7mI^#L&J02CpVyB^5lY4 z_!RoQ2MeAYhslz$yIToY9_kG|_^LOK@PL0NJm}smY+*sJJ$_<3R7RL~qMuwlRupU* zP|&j#A&#UkKVwgZla8;pa9&;U@7lt@?I`{o;Xe@mV^7$ZXJyCIInZAu2YRX;B`8q~ z#exe-bQVvJ8qX+ld3ZrsV)rSGB+|g9fF`YE0$NoUvf)Wr;;EQo0w$snE6K3s@`QsS zOI@>pksup(q}Xs28?mqv3mZ|S*pRCeR&NMa4dZj+jZ!W`4uPVOqc1Wcj%JK99w`xL z>Lsq0{7hR~0q4=5j#r=YlkKa2_?IW6={-f{z<*-=9h&FrC8Ya)M@%^8X<-m?w`T^o zl>Md204ZO98%hGxg*;Ki4xfnb8)774m(SDqk5Uf75-fVniXAG!TnH;T!WYvDKK^YD}>5#xV&3H6{^ndcL++1f?#jW`D#1CNxE+ zSs4qSQV~AIr19j*I&m1$h_1R~7&)9;pH3Ul!3hZ7FBa7zq(s)MVuNnNyuFmQ68N%I z9DYn$m)Pe914=l1=}b1vm8+)8lkrhAg)PyQ6{`lwlL3N>mafr_6#qo3Z=UoGW|&L4!_-4zhwU&;KNKpN!5Bv}Z8Xd{Fv(6y=(L(Z*--GUo#24a1s{(L1rvFTXbgCRyK3?5o2iz3EqI zwODPdZ2PG;r*)WAvQ8ykNZT5Mn#}Bvu$UlO(BGSm_wWK-t|9!>jFAgw$+#p_|IsA- zB>Pme>Rt@WS9wZAMVppp)BdNL9>@7c!S-AdMiPoMqcw=!!B!bUNhOtIv%=VndKNRG zmC|m&NE9>4_U2AC+3}?=X?DCMgNd}PDkh#y8JYqEJvH|`2}&GGnGN4MMU!36YKZSI z-3?Vs;cO}s(JC?bXBEVya!RnT5>6}GZlT{6DjOY*l%lH8=yXV?b^3g6yR2>LI>8nr zYgu=zRK-oL_SR(?K2>k4C5N-6Ybsw~aF|g!P^Zrch*7W7nXqD*J1tnO{z5rrF@jRa8d6O0Z-b(5!s#JR$9+ca0-vt3t*mNG<- zlU-sknS^4GRn4Hz>6hmDs2-AKhty-3uJ)$f%pW?8p(^gv;dX-sL%Z|fmqVMbEqO{p(Iy|L0ERS1aFe}0KeQP>!GyY#0 z;Lq=8fJ2+`vgUJ=ov|}9_*u|`YX-Q#r77khqNe~uF%#ZjtV@Zuy=*DGnBU8$h@G17 zL3)RUT7UeL0&JJt*4*%SC8QEdiL*~#)g0)s8vV)PwbL>VlEYS%U$ zW)>Prw>L44JUuW9ye!&R$891{STo9OJm!53ZH4MS%nQ^cc9iSvo@xFOwVkhG) zVth)M@(w+(F&pW~wn~P^o&_P9PiyC-{8^XX8sfJ!bzN)5JX>@aIJ$iP_$PI#bywN? z^Zbl6dCi0u*Wa6%o`zGU*6@tx(1OgNpgf<|XX=C$iDUR?A(wp6_lgYaGGriIr+aHp zlnba4xtPLOyUh+VDc_m1f>RbXRj$<{(Q6Ic2m!jaBD73adwMQW^AbdQ73I8t##FPN zT_q`Wq{WwPbF0CjmzAJG%sPTu+k#w6xSx4BLz1dKOQLg0fKj5%uG(y@OU`s^vqO5T zvy_KiD_3QQ$i_4RcA2gCXcv)fEp#nau($5J?s7+s2PPixVZ8W_x zx{)QTKu@^!vLh4Aqyo9OjASZ77DqwgdB)O9MZH{AgwU85H7|;?@z_%Lr6#k`DtPPJ zG)Nf!5>wE~1HF<=fgQ1Sr=;(4+VM8AVgfWq_U_K9H7QAr8*0}9GW+pYhGdD|u-+jR zt;ss(426L3*5#QABa?GtQJm8gcfm81#8IT@{LLs|F*_^DcJ28{r+k+)>+^EY(5z=F zK$%`R(-tq*O~ca}y4D_AhU|5Rs%#a4$;HgZj+N{%Fo_QQ<_&oUlcd5hzH}L{{-8rP z6sA3G@2Zkx2Y;~Wp!BRewt&->jmS8Is;b7iii}9zJsB$dr9zMPEjy zAeKzWGeXbcV+Z=Ja4YWzVxoKpMm#IeDn^_ZkGU${i~r$nvFj3|;4CsK)s zVs-7HtIFgsohqZsF z5OT^`vaAK@K(2fkm!GXI>F9}z0;~NDcEAnnu;ud1v8!Rq@r9o^in2lERmbh#${0b` zoQb>|@9_sWcZdjRkYDTeBs1(t)dN!3iju%V1_`}&%=joj1l z#j}b_D%JMJ-CpK7E9a%rgUJSXS$9^{kmuM0ix21PF4=67nh-i!q7u0Z&PZE#3Q(23 zhn-7@SRAIG*WpQNLmpmte4qkn!unbG0i*P{=}$MXx4#yCbc`T34C-kzZivIT9EZ#5 zyEK&pKrJk`96;?_!uk{sQ(A>+-_o~F6vDbX>(hjfkyep5kV?sGyWL|a#wyRuzS^#m zj1`Ql>OV8YwV!>0PEG|pB^1@Hi}xE-Gj;ByGZ(XXQL9auC9+X{intu&?{_)a3#(1K z4KI1JHKw(N0?-kb%i1KO(q-vR4Z6}ec1lGlI>tAm}?F!SYil(=Dk;D)n`5gw+VDi8dLLc4SAE~m6=lUc-_K-96jb+Yq?Gi;!g!> zJg}EI7PoxZFSA3|5`G2dCaU1aA%zW(@&AyqrBdC}!QlBBk2@KBXw;-W`DEVZtttDnx{JnUSzy^y@eooH zW*S&_*zVL5^XJrENNVWsy0J4_huCp#i6P>Z(~lvNjaRZ>eKK{*vd2E*dS-=vT`_K(|KFZ zoLLplQub*cXLY{SXt={fyE40dxYHGT3%;~6O1IHxDns6hF7)1(B{TNd8u0 zPe%}cNr=&y^ox!9_8_>yCBy4l!n=M<1+rW+)0<|O75O%%rR1GS!wI2^nu8G8e2&ut!GKvP0-qX) zfWzkx1Az*K7{ffxsB<)$KiW#g!GTIzHv4p#Jcq6tQP4|NcsY)Fw|e1u3Cm?$l|wZ~ zNORg$qtTVPq~dzcmSpfO&kHTTFZ>A(r?v!!5ly(XpglfW#Zpe;^W0l+czxu)V6h}D;NgQJU zhu})OXLt-bTs&IEYKu`10xUUGCGZX1Nz`QU&3yw3_U%fcAOa-nE@ z0!hNRXL&*ct&4ILP>bm~CVspR%-HG_L0#%x~AnIt-4csao?>5Zkl{1vm_J!WYh zXXTy_@)~RCHnaXsX15g^rQ;UI_mpDs-mV_rWSPzhsHmNr2;?`b_aFVvyLT+8G6XOo zt1Ukr`RU3}Pk#D3ZGic}#37HvUx!xE$0gEfK;7$eQaio^{uiu!YHG3icK~ry7!ZUN zx=lc`jnh@j87ksGg?Sgyi8u@t49^twP_-Ie{Ojt<0!?Ry{LB+j`-{q&)u9XSjg~{* zva2x1-C4_YOt@f1M8zUX}<0D}KQD}Iv#_jiR4i7og3DRfFSHJ{A17`58+N^a! zw+1Y0*ZZ-6DzP$zY%y>lamW6OKzq%*(TA~WiWw>WSTREF;S1X z-?|;=v)Y-%B6+%*Hu?BJq)Ri+&0?2{-q&oB4-<(VN63{>QVr%=N(;nPNCVSCsY*xg{U*TkkQ_vm>`*NN!|MMWq# zEUF!&I#Zo@NSC8BUTb8|Lv`qKg$V|wykU-+2lJ<WR z2?>^CTVX)O$TRp_%vb{Tk4F>_$MP0Y;N#$q9Bi*RCr~u7{6!3X!toZY)9x@Mg0zvW zu_wTmaRclek!3sd7O`zcU7)xf%AJlE$hDkw2%?M zMLp#ZoXlhdC4Jk;`yHw41JmtAb4uPN z=-Pld=2=Oz+Y+qU?Ct)M^zfD1d2!NZj2fR{XTL@8#X8XWfY2U_?ZuO6Xl9va&%BrW zN?wwaDGqeM`d1Q%E$iR#2lOks4FC2cFU*G*)QM6!-5S4L0}5E$Qvs&0jt-wK`t*Bp zd;Yo2Ee3q<&=N0!;Vb@@9tatu??H{|`)JI4V`K66(U|wf#u&`|-COhD+L~yJ-=#Ho zfRkT*x;0*AmCnkifEvCWQCcNk+){10D%9=V!^Nen51)Zq# zly{}p0pC}x$^rUXF?IXR<4+t%#fGFe!7e#e^vh;~@MCuD|K4x-P(#J4NLB>FqJ!T{ zo}Cj@mv~NV9^Pp&ka(d6S7(w^i*QPO*J(RceHe(~c%`3Xwm&9NeVkCa0Ai?kZ>HNx zu$5ZNGR@3$x`PpQMOe4DOuwYV+K&EOedT>tpK+F9=q&WcEVH7VHsAM>ZTsTZ!M2@? zwl#hE;}+$sA(}92?JE>!vb5xGx9v!r2H3R!TGQA4ygxf7S}5txDq)y(0m~D{tW20t zMA3XadEdX;e93%d3^AamTC2L(B>P=S$E#~`*jI^QjjWldJ1Jz8N=DAnIWKQt1V`5t z`QNRp^)LeZWgV&k1GuO1bdzE~9+SbevbrjVxoP+Wm(1BcC$NysK_Po5in+YbFOwwWiQ*`GIz?<=+iN<&t#dU$JrJ3g4Ck6;Nae=P%=TSTWUagb zk~>aPIR+r=Osxz!muZ1D!nq|{nLY@?H5KxjV+O3x&wVztMqeBHTaGK8R)8^XH< zFgcwdRIe>KMN{4u9I~tVBnXo@_Xdl2fk6ob_JY0Ew`P!pQQ{SL&T2!%BgmBR#cmL} zSeC>ZsIkN>X13ESYp91|J7ga)!q{dCWq+%6E0eM}6^v}7Qs@ax+7J)ryRfHShv`FM zFx9D`^k#Gk$q&1mjft0m+zF&GkZs3tq9~?9#LRa^)_nX`ok$@6js9^8cU8rAX3w*u zMI43;DmtPvlx@|4EvdUrI_4RIL6aBaNKE(&=3%5VQ9{#MQ7+LPv?eZYdAcV4kmm$` z6#3X*?9f_2ODaPK{xTF`t%19l%P*xLu_AkO>-kwHDT~aOLF$qQ(Q|xEh2si32Gt$D z4R_7;eAn4pFf>(1()7OAEF}pM?bn+8%L?EDm$qb1V1KYE*J1{zyo1NSN5P8D#nPJg0RK#kr%JUPk zJN6%cKj%)0d0`61kzgbK4~-z!UpE{utBPx=z=;N%hqxBsZrEd4+xT5x*D}2nM%Bv7 z6~Q9Q)>0W7Rr*)Sxd`d#uU{lOn0^h$n918F_Caxm#>`90(&|$V@em%{vPRz zyq=8Jz}ss)_@N$a<8P|$O)zGvx=BsJaBT%SiIKA_zQC|Lm5*w@Zd7`w;V+ftNgVbn zYN4xLMT3J=#z0i-S>mjr{O9y_t2eYf86euW3a3zKz91|UlNUMGx+@uVhhu8JHi-($ zSWN{#%Ov(MI2B%Wjz8~-uuk;Sz%Eu1P^jB%thADNFYYbr8g0S;CC;95au9T|g?L<1 z>7pW;)oZ5h;MT=}YMixcQ$e>&x(}AEbLiPmbo+u9nRiFq1|wZl5r$eM_yr zP{P-@<1H-ajN&Z7q*yAKNo$|+I1@1WZo6ab4P!wy0;9fVm5zB#C&lQwmYKGN&1EW3 zd^zKwavpGBna?#7Qyi%`K^e&Vq<>G2Z@C7c2+lG$b#|oYHD_DLwdN^SMK$Sd_~bGX zR4mO4{xH){A5s;9`jWL3=Hmra(iZ|5PKH);6&Qc>N3UflfG)p0OOgVH>*Cj|v?V;+ z*PY6wu&UOn5rzU@M<`9T9;UyDzuvxsR4=KDVz(VZ$Q3$v99erOT-Zh!Sr9O2znEhb z#iq4Qt4mhwLB$(3kbsgkF(U)q=zEV}ZiwbU~rl*e3=!n~zz1!j$Y9Hn>&5c={1Nr_ZDY9YhV6#G->LBeu!z!aI_He6+vvA9Q zprLJ2QEUxfS;$iR&42h$|LT|jz|xm*;smmgml9di>O#(ZAk=88&Z9@16Z?IVVN30Q zF>nAd%G~;kKmA*O@ehA(^|xu>K+GNgG#{|*Zk4Hlo}*f|=e5Ub_st(JJFEXhXjWxK zFu!>o@=K&wlgk-}^R{cIR(?zO4)fK?T^4DTB5I(-NkZd@0#Y75FWVO>7`ApH*^9ddsWSG`#r1)+@$W zP7o>qIB&q5T z^4rsiJ)$F}%EbBv8E#D_qsZH#`akbIt|V6|>a{6O>a$WjwZbVm8<_~QmAzJ7ps9eF zn9!1v;=h`LBXSYgLj-8yA@Gh$V&G_I5K658+vB2{sHk|{LD zp0uS})6?yfiNJzMOQ@y_!G>;hR*#iQbXM9`V-x8bC-1ryd7NIhu=y{R|rV_Qs z#=@C~+2-%YMxNlH3}Bf;yVUhAC=02doF(BFsdwmLO{3ZKXp?ubuHgMr+ga-8 zJ}H*ZN&lj!azABe%dMmwsvkc7vMxJo_K#U7>Hg!NdW4pd zJoCM%XFjj0wrb47$A6sTQ~i(nP>f?a(Rsg|($@&1x9|3OHdOz2N8SEr+A-^{5^poT z1Gti<*X(#1-cUKs2~2b72(z7Aml;xHUg9&_1{)@NxmHTiq_(V#GlCb%dz(G%$FDt$zaWxIjI1RRA{LjCo75k|!GblKc%%~+XXe=og*Mab=0+!#W z*@lhYwU?L3287CGMeaZ5k z5y@fiGCl!CT1tsn#w{iFCQ)!s7jMRldrY;xF!tOs@*GFFzFoRkkBl(z!Hp#Uv^ex; zZ0?e$fVrj}2@p1z$s*;mY;wNSOFCKFo~L<%b;-Y5 zTHa;}b(kF1(N&nBzE}|eF2CP~l1^_SdA$voN5nTd@Zq@5x_jd!_yZEIZ0z{H*;ILT zmnG8Y0&o>qf@B2pS#n$YMTo5^P%~U`?`?Ppm#aEmXT54W%$Uc*j>H@r`I$%lkq=0c z1Zj7th55|wc!3TzcSIHFi4*h0@l{fDkp{jGUdiw%m<*Frqe89)?eaB=r;9CmD+xmv zh6em(Epl^5Ky7H!e#}gt3*+Dafp%TccM`nju$nAC3fLCZ%T)O(Lmik?q-OK zVCG_reg!XSBJ>tg-Q%I7r+Xou$PSN?aheuFb^LJtkqXEdJ|JXWOC%pDB`xp~7m~s! zW0koc)BNW@nubG)m8-MYGyRjs?~&i@bSV!I>aYGqaYzz<}Gx^ebzI=Ky%~K4}6tuD=Rl+9cZSwnKu34EG~HwR7Uk! z%jYP@-e2$^J@)ghS#WI6@iYrQubOqzL5py3Ffw!en_yJpK!Upz8?!z?*!~4$(Ph8G zi*CEFhi*H%%}BS&B#e?_FE{)6y5LrOu6xCSbJfw{(Q0Y?lzSD9zf~djb`-F?(saOk zY(4*rK>#r1@(i(9sJ1W0^m5SIw+m)af>!w-?P6RkLq48xiO z+p1*gRun-M@#x;_J##|O7@$yHbe=5C20T<@2f9tWZ_}MTl3|Kf^xq9hW2W{i(VMg7 zU$p4?Hlq$yi~r*fwT&xxSWqQvSRt0=npNwUFa7E2|UUa?K zvm!}VB1vE($7r#SB_*uXNy(6RhL}TUlcfiOB`F96|CEtKnYbNvSQdxmP9PCCtNB&G)8Fo~20_G`V+cW?i+c>0*(vxzF>;D-( zPM}HrqqZpim}9F@-~RuP|6lpo7}S^2Y%h!^XKr3svOGOeaK8w68Mj`Z5^>s2dMBVu#K*n zv~26z_|@aTPR|Uh1{U9BU`Ywrl(Vmy>$}mO`JReCR8dGnR6rlI6{(-u5zh(|hK9a2 zR-ze>TqshuJ1fM)mx(I+ARF5buq!)@S)reGsQ`e}Sy8fX)=(q+AQHk28csN?07G}P zfjPYHlfezaP+^E&&zUnSh%!lWpn9|GJ0xT=qqDeL`tC5jz;-MLjlp9S>qR-JB+IiY zI6jk6vLlbKhnIzybtVwN=8sM0XEKv~DR(S-iUXfseOFEFI{M^t7Ir!y#lh$?ZSG~s zQ_{*U(XJ1F53uJMwpp#(YA7_087%TLZPv+Ia{%FULYMmgyarC0Mqa%|nbJezG2gDZ zLCy!IbMEGaI}V&s-Sr`LbUHPhS@azG z*E0Ku9xp8o0S+*T_q-tX`*pV2^o=XowW*35c6?EG)~jA7?8vpzt4jthhO3VvvP0K{ z#9wkTTV}fr*>330lSeN~HL1-`w=-a&9tyMR~ z3}LwkWO`mDPt$cXUvm&1&xu7U=Vezlf$ft#{h$(j45Jq>V0gIpWhZON@NFuKfr)y1 z`nD5ezjn;Q<%IZ&r;2vHUe$CY=X0iP8!B$x2_h&|ShurU{p#-L26ALGH{86`Y;Er( z1f7q@P7spqSAcvjmAxAS zPoZPk(M6R@ks4r8=ndptHqdY4gFwZB$370hy}@jc9k;_c;x+fI+~v+a41wz}0x~)& zJQKHJM-Bq6Cx2S-Qq~f^RRtbTq!EcBxFKdceTX{t!f}mgTKJxj4cnVbmnY1}q|Ri& z>O~?7eTS#QwA6eHob)YpxU)=(PWH8Nb-EFOfu_Y~yIQ|PIP_XK{_YRn2+M{|i7%=0 zOg0B+8zZL=wGN(kLqR4p_l0G@cY^o6t17DaW1>9seo(?sh>W<}rORsHP^P{z`+Ko? zO2U5c`3iG$fcCheQl#z61TaJ3#&mW6{UTJ=r+6gGG>7K7rq3R;$)nL(o8EidRh4c* zjV&dsG~vzkEuf=d+;nAEwP@c4Ra+}ku;TRd{P^F~N05&j=Dtk2jV=Q=t9_o( zQ^6W_i~i9Kw&@c_$x1d9SYEF%d$I|`lF1C{XPXw1;wNoRbMl1T<Z|d+ z=D`m3U&f-(+eOlRDzY^s7c#m_P~%H!zvYz#D}y|a0BO*d(YKoZChh8A4P&8w4> zS4Xu0@n*b8Kj6!;F?%u$cFgN;oPoUklUP9<`pR!gydWiU)@(>$CGEK5U_d4My&p*! z%__Zw@>JL2ZAE>`Xl?7`FG{AG(rN20LS{3PD6xXb{E4Z4#OB`sY2Tt%$vRA`byn%0 zE}ke<`4B(C#k7)KB4X#k#>4dTm$iIV0Y4n66`~dw83PkGU47nPRtQ+uQw*{~gbEB{ zRH29xN3*|yIjTA{)QV9nG}=IU((ecq(_X!iN|z?gK}29Avz9pZSLQxx6S`0;&r?hF z-W`TuEMHfQ%}bU`?2l!pR1pp2V@ZX{!0B4CYzr#&*{rSz?B_xl)?hfVkv=6f~mRI;O zEPeUfdZ*G4e)v6MDv$8V3xQM)-AC&Zh=+8jSYO@0WSM{CAds92srHbecpBr*d*b_FIn zo?t%*#4`3gJ}}U;DpN^z&^ec&r87c3B(kjrE1p6&qr(ey7=)pq(q%-EaqY;y;Ae!2 z_N7;X^4vo!N94v29_g5_+_}`)cvs!}LkNM0iTNN7=;%NKb*ZX#JQv>>`k;-bTY;md zst2$2;S&a&FpC0|E51W8kW8>Klo;rw#tCNZ(UKTR#)j`oF(@9^k5Jzrt@?RKIq3&J zBOs^_G@|q}l$j;9;_m1|w;H%vZ{$?Rz>T*GLxU;g0mHgeGu=qN*|97w9+|BMXF7)b zk=c_NKnh*6mPkTg5@y?SN?ts{g#N5B!+_>3*h8o29VQCK0|h~nDDTZ9eK4@A*U9CO zxw?fw<42eWoX{|7G6|xT&NIUkul_vRxS(lLhLC7BEIbs`%uJIVz!nK-Hk|Y@s!M^9#AQpzcC&3BRu%_iKis zlvzdRT_z&U>Wb6K9CZw?O-$xlPk3cNkdc3TGJ%FRkEmwTeG;;&n5dcbE6pX1&UTy4 zs(XEPUdw1Ucr`+-h8I@bOo5`hq$PWrZpwbUaOGVbmSz;8&Q0a%CX2LW^$+ z4R^$?BF9Zio)0lybeN}AOjVH=<-ypQo|({Ee*6P^v-Y)H$z)A{hxN~n8En5P8$)*{ z7lA@Vp`@D({8Xc=(z7Mz3zU00#7ZY9Cz>61%8oq@Zgkb3=Wfl=;Zv42it}-B=Yuj1 za5V2z1}ULh+NBU1#;}AvA4B{0q;AR3M5%~A>?Frrn{+Q((pn-{!%)m-WZ0Prw=S+z z`Hj{CY5hS!s~@Rk&$yUgatk4xAX%e@OnL6t$@6Mgx7G3EFJ==1qJB?QF7K|SKVDqS zbR*d!8Bbg_>cUUgb%sfHhJ_c~*0Rcbf!(eXNwA4SBkd>G>nC+sf79`a1~zPq8Sv_& z8l;~<3n^BVTuNQbhBq6P*qM$Bv+8vzxm&*`3g7 zcYADwB{YaP9w4O9>Ha=^PC4$Ee&Cfi_z#dGGomu1GBP4hT&lh-B-DchGag~fFkB?e z3_cosIi`CC(~R+LK%#6c%>xJtA@PPh({}r5gb>fLerxR=u_H3GPPO}3ng`T<>Z{7! zd+qz)Ywf+(?-yo9#$cI|G1A55vgptdm zQ#TBQz*Cug$rP7+=2E!1*JSss@ou8%^XHS>r2N>98hkfcDRVJxP3(IR#9m zWDX>Aa;36?xVMlEMsw;NPh-?Mq**60;Y1B7n6h_2;xXdh}5KTZ-@waj}jLp-SH3+dVZ)x#7YGG?dzv}JkT+} z>G(2@dx1XBAIhixP|09Zj|6T^W}#$HRQBjf_CU=RchQM4W=ov8N9x+-&aJ+q6OiS5hx8|n3!yA6IZp^@2lFEh)F=e$*Io$g<1d=DN{Ms+VC?6K~q)1bj&q~AEj8( z`u4JI)6U{&0gZ{|RFgVzFLH|8!*r2H#;UZ|kLK2@X-#|UI=2keu`Tz&mf_ivVqyjv zZKkp0b#%bM&E1HWWfcIta{Xnpx5SmSfDjQfG?yhEiEY#ynAKl#ot+0WySYGCc4 z^0T(xKmXBhZF`-r7@Pd%_Z~QUbjiB3Y+oakn2Po&2ysOCi5IU1}r=TyEM7(XF%9hw`3kz0dD}4u?3bH z?rk?;+EZo0=2YJ7YCXX72>n|$O(a&31BCUAk=Ha832Y(QLiCJMAwms|&xUu$rO9vk zPUtxgEv~D9{Y6SHX;@;rKs@e^p7_PEk^3+Ueu)gWC%(Rqlw~CxX^#~=vHR+Ds*nS8 zjJRJL@^cNZ%N#MOj(+=@C8v&{3T?&?*AEg&+gBi!M|Gg6;v&xq9a=dZKaTRP?ZD`v z1*p2WrMzWy)ia{AL^Ps5Lb(=}xL8MgR@KE=kssP2w-EahI7JJh=MkrZuBckiRzmiH ztB9*K`kHvaKc37>5C{`kaJj8)ocfPZfGTMIE%OGE5tRzYHk7l`*3 zB6%0q@y+a>L4NSG{cM*2&ijpd{foSqXN$b?t-OH&SX^>m=AAKnD|Pt&`99wl2H+5}D0;WGY+8Hz*^g24<#`aH`idpS zjT!Ns;W#8xiCI43D`0_Upd=L@m^*0{F%7;Gti%f>W6hIyU|HWcTXcg z9fkOj@o$I`1N;#J-8?_W49~d#1AC%I2p2fkQ8|OH>N$NZ!B^3h*DAp zN%4;&L*V(=}{e+enANdN*J^&brjFl^LgU5uWE zQXaW6Uut$oL@B1yO(eCOuUM zZuGv(F$BowgP9`2IfUeq#SiS_zsAw>9;zijVhk+0#!G_;hbSf`STJy&g5i^~X)N|< zp$UN=^8$SAh5UQSzegVb4$AeVWgMaRTb=jtN8Boy0dnJrxu30#o|F?Qu#UPyI~E;9OaL>GVQoc3+mR3CJC zA--;u}GnUrI#7gMaTF?`BP4i#AFva zgSm-vGE8%58vZoM6v-dw{F$%6jXBCQ{3_wY)l_!L2NVcQ^kWPB$~csCCX2tl z_DG!k-|5g|%vsDOah7wx0TnBudOArr;epTX^P?y%75 zUVgP7fiN%&BYjDFUBcPDDO$tmuVC4}(Aj|vs(H$RWipEz2iolR!>WZQamK8uEIjgW z>W~oCcEH`7$I%l?81z#-@l9m_LP0cUUiXhLzg^cO!e+bje0azoU%m&$soIv)jPNIJ z93?5zlHlKRgeg>je;$xG%x9)Qxg5L;%OLy)EeCOT+qMm94I@Lj)cJ{#D}bWa(UO3p z*p6&IOGAzH+x>XV89PB~YNQc3-nRq#e|DG98SPWrLvHV1{>#GwVCxP5FR6-*EJN!D zfbx{(XKnA!!-1gCi5Y#5pX+X=kGwk!LO|*Vdt?F>ykc0v)~pK&{1SzA=9xw+E}a^%_-RF*IGn5N+9zNxGQ;~&ZXHrwf7T8p zy%*Dnf_R1IE1*XnNNLG=ri?qDF;cAvd@y;pX+Jor9sq{*>e@cPQUs~+{b_9M_Wm9S z*Q7z;n-hI{sruC39G^%{bnXHA+Mj8?9i7N}fFBpg*(zMk^#czuRj3^hles?^T|U;; z7Mh^NK&o{37Yt*6k=!?v`#y;V%C@~32f5l=R3w5!7p9<>S`7bBeem+d)lQG*2Kt^w zZR$ z*6_)m4rVGshZ(J%^Z+d=%I?VQdb6NJL#{ET{nV^Dyi5JJH!Ho>tjNC$W8JK-0wl5$ z)V1R#uRhqbKnTj5yk^fG0R}bDyje`B$CNcftTd`q+n9qwCfb|D0YDs#A%X)#+uV4*A2=)mkZoBQ z+{N*iOqJqWdz{mdh7c-R;`XT>1~8DQN@ad@=Vx!PRC2wmsPT89|8_Cy4Kc}&)~M{( zz(se-+j|CnTVln0bvKX`u+d-35Bbqz!%F?)wdwm<&Y&6cqA^=LIou#Qt&IZ^Wu@&Nr2h7 z2PMO4I77>8;AX^hMBaNR%MgrBwuTWQ%VoQeFhogYDVglsO1HXuBV~rUzVPL3*N- zCfq77FhWl~rhK}VYg6sOP{p*oDX!>XFfVf^H_EHqCp`EyI$ylZmO96?(P}3rCAcER zumtNL5Weya_=|e@;gF0#+8RtoI++XE^^)%;iniO<(4|rtL!)d2>c7(GxNq5z*;Gbhic$omJhOO%d@jWLC2 ze+>aOWoC+vOmZ>Yc0=_%k86hKGbV_c@}!P(ykkExQYM+rz4SN(wVOQAsVjmX~jQTgo(1 zl9iOy$ip^@ zNZa8(Zrvgt=+u=BKQv^77cvr%p25fKnv4{V&~j+ZGFHHy9&@qa*6>FE`jPJ6Y$Yk1 zCrFm^{P%84;ZXwAuAD6)skD5#h9`C=x&*d2UW=YUitz}H5BmwEJd>V_NZ>&}lpslC zsNo>f(A*R}KKtiv+KKu45?#)XMHu1EVFIb(m?@EiiWy@wOar`LTwMsjDPhTb5NeZr5Jb~Q&=7h3WVZl z<+f)tlx&lGC?>LdFFsm?%5dvu=sBVJV=^>*pVxSNA|o5GX_G#L*W!Nqa}n}2$0k9l z#-rmWtcA!eyVEkRM#&*Pb#>Uck3)Yg7VR=zNZycjojC?l>V4o4`s$(QyIuye?(#E2 zsL8TxnjC-uBarCL;HBU4>M z|7Ls^o29Hf{4ZEYcqP`2-+7JB33TUB|38C79XC1V2we7z4$_R*g5%5XQNZ*-Z6C(% zotFuSLez}S&M~4S=#<+Y z#}25r93Fyr4?j)m^h?=YB{VYnW=4d5iLsJNIEo*8G%Zqpohxt_F;C1R3j$-U;giOR zb2C`y3+H@%#5*diAE93o$KpqBM7B=2&KWu7hf}M~5K?!?K}G7s@8N|=d#hxMj7+i0 zq&%2PM4v}0a>NUueW%enPvUSynh?UlV|x$xkas#;7zeaHNw(O?mP$6>-kbrCYzU!O z5T3YF02DzQud`*6EmF=3`EymO$U=nVgjp1;Oo=(z?%a){^B>w4yv_*iVTw46oSO!s zSuFE0^upY8$W{DrfV} zY~Jc#!gcx?vpkjPCPbhmDsy0F4px~xr+sQRXsNPeU5By3Z|9PYf=V18a+u7S+F?ST zajfGnGlx?%_2y)R!g_*n8-)q!lfgyaXwgNU8HqJr!I14DIT!m{ytwZ2odG*IugST4 z#mZXdOIJ!+pu7@>E81-|(~5B@he2-x zTvJ?o3MhYM{WJjF_~O`pw>>ud_m2MS)EwVSd$cVyp*SH<>JjPZi6l z<4O7`<%&dPb6*q?>D0+vQpXpm6KP}=CD-bb==9l*^denysXQq)IdxT&-B-&|IY0!E zdMbx^BM126C4J-~y|2>yH`+ayV7~*d8$HIn8Ofx=8&1b>i==eR*FD=`B%c<`XQY%5pypiu1)#XHdn^m<2=ZKkmg}qI ziK+zEXFGxkyZ~xqdu(Cz_0IpF@(n4iXWsN;^`GwqLRK5V^?H-n1sPWKSp@%zU!#*W z0>VCN`E<~`*7Fq0WaO92ssL;&Q~r>Se&i2B5Kv}JG$q;P7B5x*`HZZ<5#wZMnb`$F zAOQI>vPUX=aG9M|7MD)0yxz7>hc`k#K9p}TgaqfB=2f|{q*t&{jmIo>`Kzm z@m?wnmZbEwNBHWMb-zq$eEt@3v{@ePqCAjR4DW`oMkri8?Z>v-4OZy1uxi1YNn5x5 zfN)y)_r5N1o4@=P;;cBYv^ZL(drctjTUvXA2bQL~Ceds(5R_YCn%y9fh}{n1g-}VgyTtl{msa)}HpXPwtwwhWqQXltsJVUd}ba zR%*8Gm14|PuN7kURJN+zLOLgW1}4*+WiO<`FXJJH4=X9NAKIJ-7`#MzcfPC7r%S04n+z_kOt0s(y?zNIuZ6u8*-7 zI1g?A@`e3aad`Ly7yRRwSAfa1v&pvZ5!$+H;cEq~lin`lqT8akciWFqN_;_c{o@sM zDC=V>@d*RpHa6RQ*$~T1-a6&}!o|_SL%T1+`|TR*&|(VNi#7Mv7rof!;FP&4;j1rE z9el1S>Z>mW$zFcFt$HZ8ZDWyILnpvJI{2B!^v9i^uMA^r=cl%=@jPz*^IsJb?F{Rh z-DPAX2k)H;oYrRmT0bQFX}g2-3S1VJ7!7{(7US)tL^?V2B^G$_dgq~K8`c~f@+3${heSB|$g#gZoOtucE z;E)U$1ajYH2q5?FQYVWnzroXA4PF)TtsEroex&L_$~q9fE7^+M7&jub6SGX zh75=xfNx^#d3Qd-#x1ZQJOW+tIfq{yv)kQ~c^JA8Qc$mfTY|b3xWMeo9z=HmNE8!% zpT<^7-}h+IBkWpQM~I}!!S_M!iSOV8>H2pdHi|3|KIGkJV@_*#O31PD?p*+&hM0u< zVM@vjP>F!>Qa5A!*iNaV5P*Ua8bK3>x-5;X|M?pxGwSMj=tpHo{kbdrsC1Gm#KYNP zgU!u^ER*rnF&u5o7|@UW(t|Za^XANakOKhc2h9jcLlyD0YleecK_Y7JhM1j~!dWOS zApN@+Ouv6(Kb^OS_Wquq@endY^|YDG1*m4F9eXMm9R9koqwoy18xKDQ0r0W}oPRG{ zm@X!rs!k2kQNa>cI=RAt?mTfc-k<4~Bn^mW(Oz;z^e6W8J(WCGTRQO{D{y7l0njwK z3?E0alreWu#IFJI+$ovS>;C+EbhTR&F9=0=fFoCg2UEW!*+RHcOAvpaXx|qy+t3!m zfu7%(7uEN1{}M|HzUyc_K^>nS2U5b^^RY3&zA?bMAtB(JuM((w5fJpbtPrQ{j2}o- zbc+k6K_+Qz4o5VXM_t#GK6kn@2tks`qXJ3xof#i+maJ#0>J`YH#(^g7R3JWY_a&gG z`>|0IDGB04C4b>VILRJ+!1(keyH+om73BDghq6y&6OnAU21+dYF>kPvjS} zfuUu$1E@>RfcXHCDsls+g+wtk<+J*hC9?=b8&{d4*lm`6bKASuTwww_g3uai9 zk})}|iw&DCKSZ@6@R9Kq!JO)WPCQa&!lXS2K{G2!;Hkxffv;L?0n>M^>D#8?mo=*} z36rX#!Jaf2{^-N7FQ4pv3t+S}Q{Hl;;grv}p(IeaU+TO9Pm=01Uw5fcGsxRB4P5A9 zXs9}X=mc3SZub&SLuxPp=$!zMCLRh2Q4^{a7SbWdWm3DRvk;DnU@8|{*igzz@W_mC z`r{~o^iHgrBh3PdiF8OqI&RAh79l4AgFNmFrCZ>*C=dXr_E5?IJA7{}>du!K8O}_S}@J3;hR9@F_V0mCmxf!gJ1`|AwY}n;dVxo1b{0D z5%&Y`b^3%(ahi-g=bIh_;97Z;Yi)M#2dt3Gw?pIcn|BubsC-yhK%Pi5WjNhwm}@B6Cb^|BKx4c}7>#z(^=SyNKerw#$rv8q9$YH%Q9 z20_)-Sp#j7TRhA(1G~SSo%^aI-Ct1S~MFmMla-DWg1)y?t!S0vMQctZI~FYz~?M@VOW7?I^tqKc=b1tjkZ;a1dqyJM`}2 zkC$a;vWPZzft~A0nSgOr)i+bJyqFZik8M#y?2={_a~MzsNRLfd1wl=CY&+UE?n{P$ zSrkRfe^JyTsgy;=)W^24TphZSR=kvy-368VcLKC27Pdh_flb#IpRkociX2&iOK+YQ}Z7n4u@OI7w&ZuD(v7G^0^Qo=x z9nxSG`XaC@3gzEzYsgMm4vxgHQx})m#AjGd(S>Nkim@A!G5HMA`1}5Fc0}0h0u5+P zAzFH37cK+!QGr>G)CUYy7)+O30~QJlgSjyrF#?Hj0 z>{(-cu3;<{P?GAK1eCcB(>k4L=Q{&Ya-HF5YuIAR14z3>7`3Q7w)-XY=FFDysVy5W z!)u0Mw<^FJHz00}Ds~VqDVhg#z5pl_k(Qp?_%`hF!z4QzNz;~lRT@~v)FfNtp}eQ5 zd!Fds799eRSl)*xWX)87M;l>DQUivI9?HZZnb_Qq!00F&YRcYz*N>-D&Cl1Q)D&Hg zw{H`Wa~^J0&Oag@inJ}jt1$Zv8;9&nJkj@Q#EJuxg3#9bKn8aK;_>aid}IRvjd7E^ zKrt}{u)b*lR*wMHe{7weEOj#O#s>0eZo7dUSlyYa-1H%-I8;6X=(C&Nc}$56_b8^Q zpdQc4*aQwP7q1CU30D0yCa|rvnXw6A_$D!Cyb=ySj|k+I{3cT`Osj_A9Tz2ggA&ym5U3(+4+29;1Kyp1h`?+D)AU+=Fkr=*Tz; z<_L9{?OS_*IRg|7H|(F_IHSVB=|PLaM;#)-+kK#~PvGbsyGLrfV0~#6H`l73KO1Q@ z3jl5@(+<55*ya}{uJ-x!l*@>v3^)j6E^TQ1`bGuNdT&)FGoDnw_}=>#+1@f(bV?r} ziCX7+cP?`eGlOy#IM1ZD0kVB)0gL^ZZygoq0BO-(VoTuLfZ4PMO7|xWKGcyliWR4k zydv3J>WT*H`B}pQWU^}i->-l4(S5$9_K?muZD8!110QSJy^i?xZz9b zEN0(-{wDxiXf+wr3*kc6!(2Tc90JJ#X1Q>)60sJY({&B5sQi3g z&<28xR1PyEO;t=$L#`94FPOo{{6lp_4cl`&fb_H2mDeSAEV*S*Np3iduosH%05z`KD`IL%sog2 z71OzLIfUELB(!b1)@(E!K3X^?ePAiL!9fb~?lIcvx>Fmkb*ZK;zSh_lVyUtR%%M1) z+8QLf-z+-C?{O-=GHrUEHgI2HEsP%$ruxCRW>r63GecLnCiV$ZVevDm9(=xMp?-X0 z0=+KN7?&p=mR+^OxX$;u1T{2CkY4Lo>wBb^0|Xc(4+8jcs+w~JJEt!59(Eg4 z99r#k;NU)-?6ZO_z(4&vf9=n|^IrfhpHA`iPyh4Z{L{bvt3Uh)zx>00_-oF?%lG=1 z-?jC3_S4I6RQ1c}mEFJm3TXv@__ri%q!S=7Qq6XCsj%VrBt4EpHUF&wajhTz_P_gQ zzxV5Z{>68H@Hc|M0K1RG@wQ<6o>_zWYbNFxvh8<+~50 zvN(zeojKNzUsjIw!|#0Ohrjwi{NTU&W#|0zEA5BMF8=rz+t+1SKluCq-k<&a@BZ08 z{7--I-~V^^5C6_D{NR`VhI4%R?(p&(_4r4>P`rF$cQ4;>b^upEsK5J{FC0aV-r@=J zLe8K4tzVN?{orr>_Md;}SDdG*G0)VPXR42^G=PN)U-xS@`KN#IpZ)nS|Ms8#JHPu+ ze*gD>@HanS)#%%H{qj9Jr>j5yMY1tpexrGM`CXBIt9GlN|EGWOA71NrUqYpB_SM|R zzyJF`_;5UA@AQNl8?;ia}DEDjAS zUCj`@%p8jCy_d`XRsEBRB{-g#a?_Nuhct42l4RBp-5}-lChB9O+5o@Ao2noAF|wXs zJ|{z14w6nqdy}yt5(0xfnOkuoA#oUh@;e zz3*wVKU9hk7-gpJL_M4V5i|jMeFExEa442f00E-YWKDOSBvVyqTHy-;ialh+#JfV| zEbR^Fdav`>z~9oh%2#=o(}~&Izm)KQ{)7U&+_iN<+g%OFT*QArmmn8q48zz5G_Vj= z9+;>Srqf`*{M`dhGY2&5yL<$dDlM@HZUvv%38|Gs*Va9p4vLD}h^SXwS`Y6nRzQw; z#~>-Vr9J{0wQ1x|hvw}QDZA9O&AMFLk3_uZz9yfwCXgKQJ=Fa@HK^J#um<1JogYj5 zz5z;{iRI@-mbpY(J4kdLQR1&5j} zP@*DJRO)bZcpLz8Y2zB>K%IV3msMS9A9j_%&=81s^Q(0$AdKeJ^8qN?dx;VUi&ZZS z&stb)3cEE17nNHymd=9sqH6!bSLHc1or~b`1|fEG>GPr-W;cr%@4 z5*mk-7vMll6XU$bc^A@W?&^H-q(s6oQ$w|E%4v`$+tn~Cnid|E7m994f4=qRP+fYL@5cRM1L^4C{``6_J2KUn37H@)_hlj;>Uouv`OppVOV!q%IT9$A5+01|tIGYh~ zBPEY#*Bb4QOHo`rU}HzZT*vC4mpoc@>O z^cD*^xjoT5_4BHb%pfN?0W%pq#Cp;x?b;;U5>|t0)_LCC=iV!8{(|;_%@CPvp64w2 z7|i9WD((43rOk#@X3~w@o@>25pSn@=XoP>^{K1#x|3`H2_GR9ys3-$Y{ZUc$z^RAb zc`O&N9gIUXZm359MpZqwh-cug1_UlV%X_$PWR7RK9@6`7N>9d#MSB3H58jlX+GM$S zhhki?x1{%Pr3aeHuz&e}bD1GThUl#ssKpU7#On-Xw6t49w~`LLs1~>+XzQRn$=eD^ zoy_7DvMI>`YIgQ+Y;#~XLCpfopOc8*c>Q~@X<4*rsKCsb%gSroB);gC^(u}oZic5V z_f6IE11{EcZx!p)Xz~2KQSFGE#l%RY41LCAdt3Fj&kj}=zfDbV*CkMvX%-*Igc^G; zgTz?rPhmDQNU@&Od}Ucw9lIsio3r!O!6s<%YYUqL7teXs$u;JwYl~5ouPtr52#!?~i9C&s71Oe6jZ&8+~`Yd+}{Px^~3A3#lw!z>HO$N(Ev9*vJKyK{O7U+PUD&I2n z+Y@}?>|HyOy~@FO$B_)*iB&3ChzQyIiQwObdx>4XJquW1*>lrp)`_W0sm-*10dwNG zE%0(sIP)&J5FWFJ?pw4lVm2$b>?GlkX#)?^ZQCA7^dI;t9C5a@yRtImB@1~GDx1=5 z%$x+KIAR%dnJ}wqphs&SrprE^aTgbbBs^HD1=2jA9(Sevt)8}!Bbk6$8uiXA&t(4QSH4mz^#2VfN&7=jClcptrs zVk=-jx7@yGOjfQlZNz7BlBdC!yv3P2#7TkvD_ctMgXQQK&o=4aiP7(^Ve z7kx_oe6auv($^G*&7vd^7JOvEtI>D5HZS1mRU%5SJngANyB(u*&_PHds)B~0C-ag@ znCG;{s8)g#5zMO%9TMT)e8-`ZJG;6yMJ^U}QyutWx8H&QR+r)Vi$d_W&*K>5^rUg@ z;b*W1lEb%3#&kcz`I8E3dShBlT5YzF#;Y)-Dklzy`NLsT`44W|^LT_eUS+r60^KyK zNTSL<2cqZ>n71?KXuJ^1>m>-SAjR2J;Z+LA?;C_=J4612OXVX7egP+Rbu`)Iwrl&w zth*m9N{QLpcP;R(C73e9%NINF&|K`H(xRHocb?Irwk>-i!L0BtFi-*pn3-SmV~N;} z)%sZPK_V@17vfTxWFhNBN3dAqz@a{)Ik6p9n~sp)1TRLakj92S-RH+6 z(93Dl4p_57~srob!&V(7Ox7@@eP=Is9n@>K$S7tZ0hXG95=Behbzn&OMv}k2rMtN!li(x z>Y0urh+tHtL`mdbzABkTjFOj+xx%dV#W5wmRt?5rN|{c2n-8;)4WljrHIz|tDSLV? zJ4248q;ypupb`vEE&a{+Z&j&)dqc^dEwgj08FnhuvM&38!Gj~o?|IjIQKEia4%_Rl z2|=8L2%$N4eJB+En(y>u1HFbpWjE~(Fk}q1%h`RfF5c<`YQ;nT{JhQ_=*$7k^<@v_ zPspq=dPUSKH)F`F+^hb3!oy0-z}t-am+4N_o_%FeNcfaUKp@W5@#iV#Lh-?_yB2^b zCJ{i&*Q)clvsB*!w&hy+sm@Mn<*M^QCDKh52(RYHl_f)9BY$+Q{z;_j-{q&Fy_|vw zT@nej5hSZ$>Jb2K+=HAI%G$N8v4D;FdJ!#hCpvd# z{k*>DG;TE&97?aRJsI$_XT(d(gDH#un0Bh7Eq~9uKb}aifp%wg=dfv^Eagp4Dll8W zk|#Fuz~@9RY+-cCg@e99-In!GZE43e@+L;!ZC%|DZNpnRa?5qcLLw$7%zDY38kwiM zsk*MRrPs6B@46CCyzh%Z@gS zrI|bxi?B4#e~)l3ekx>93SxLr$j_u<@9>rCc=SMigeMy*OkgxbHyES-s#IHQc_Dln z(uL$@ZG+cpn=_oKdiA_9MHbS+SEUX68c$9GskL@KiG!xkoF;2w(W@PK(OuUkFyBi> zERgiMO`U(B))-y)&Tk4*ws!AtN%Wm8oaof@=&#TKCl0NsU zz`EMCtLlZT>Up!YEOzem>dWVG51ze&-GXW2V3bM(@<3W>NK3S|tGf;yi_fgY%?ns% zOs9;r86I>RwFp;}DZZ9(uKq&6wekL6NejdQLz?FNCb@ozRCHG~Hv57d6NOm=)Ww5p zgtI)>NbwX;kNkMz$2Gy;q-_Xq=@*IBdYrzOd1MNR7Ecs`6_DmIuuH$R3NMm))IC1I z*PgU)94hN#;5%OTTmi{6L1nK~M$WF{H#`LYcnZL`EPA!JZ#7_s&sYg zc`~t#bt$B&-;Xs$RbCy~-au{jc5qRS$80u@Oj-sBbTD2V&$<>4m?k_Vaw}D(;(4AU z%1lqPbtwT{0Jz@VJDSdBhxeVM{Y@yO8}`AzEEQYh8R%%X1jMTyrv@?Jscq|v!t|`4 z61ZyrUr1TcL@%O!s%tiF*N!{Yy#ni;BOW@x+#WmzHlA!=rHo(;J7SBtsMn`o|LCJF z&7QG$$`9psWR5Sn7biRS9+7v{b%61l9Q~~wmJM|s)p`TWueRH8Fb1U9743by5|Iu$ zt~Setor+x`k0ZA5zRq{xO?WSH8CxMM-{ioIM<^H7`b*?jz_%_7vcv61J7>CA_|=D8 z0L`1-84ni?Z6^7pXn^v7g_x?>*&KqfVVDq(B5dzLKfULN0$X=VLx)#uAMHYfHaa8( z7g0d(ZSsEHZAPOci=QG+HiOzBD!D!n<#yk&_c;d>YT*xM-_wBt{Cq@`ZCdd^pM@U* z{?wVW5g&=_@BmGfEWq7vm-b^`7v;0~o|hj6M7`niw>st0{0%h%;b1CX)pr~>O*_iV zZvo;6S1m?Ho!lrNQExcMZV2Fab)#fSZRT$`Q?)NA$~rp|8<|z0${U-lQyT*Kp=g{t z;7cS-$qf;I^=s@6-Cv9P!Mru1c{-S z2?IAnSUAsg+UA?5QU=7&m^|Kh2A^Y}NKMJ>ZT?tpxBEGYN_h@)$e5o6$PqY0pqRav zj+Kb@V_ehBm4EP>79mUI3}I+JjJSuKUO?6*fZ8d8>#3JGLzGzm_-jCju(52RG0?A+ zSv|Pj=cKBfN$cWYs?tEW0od=wTbnf=aCObJj>oY(?a#InfpZX_*7;MfK2ttir22zK z;+r<3=scYP+F638Qm{fi4?+`1h(o(Gpg&hKX$OEa=(Co)2lM1N?GnbWNN1i+Qyvf; zSYCN<+Pdg3L{=QauO)Wsp75J?Rr9$9_Dxe><_LdizS-m#!cH6$%MYL;t{*#GIe(Lx z&@sn{4-PIn42i(5al||Dj2qUq$d zH2^ej4GDBwo?BIeNY^8@`w@4|wu&3-wQqzv0)yF)C?r#s&eZ3s%MGbH9SH>>y9`I3 zH%X4(F4+z07+CdG3yr~3OYXi{5{VyO(jgG){<3tJiv0v3!ri7r}?tyuqL$~ zMYW@8If}Y%5k3~Gw-_- zc(NiaKDO-j$-;zih0G`fdQ$hN zFMXZK&^UyjI$bnC+ymo)cJiX2Y1NAxFlkS?DRI@S2q-iJs10yQH&R#}YS%RI?lFpa zhl_*v29HD#xryD|9E__xJx+%wZfRAkK>hsLP9vPRMY-9Kx_HJjZ0;~FKrPFGEF+7S z(FtE%D-h^W2P!Q{N!PjW&U9)OmnB3FsbkN=*39nq2M$edaDp^+lv!JF=jBCvtw|iR zN_J-u1k@l}u$ZIvrhY80HHCC__=Uq{g`2Y~h*ut7B~TJ3=aqsuL`MQOT`I^+Q*cWU zwAYoTjz!f4g}4u+f>p@qfwXGynV$}&h4qC?8wTSmuavXP`E9{><4oF9V|mb_YZu+M zt`h(gT3moI09I8#Zg4_(Ss%D+qC!mw?WKvRrUc2Y(lE}L@(XNaQEFkI!g+0<^wo)M* zIPtIoJplDa%`56&X2NrVFbr%MHZ`7^clp&`BH1G(pq`{B;^7B$xHLXg@3R&D#2YTy zW9>Vy}lAKX0+>Vj$qVn?Y_c_|qVPn*pT+SXZv@f#iNf^kn1GD9QlUsacH=C991^ zJH4c^7nr_`P+cCmX@cvy4ng>$gtq{7Q`d@8^BfP23=G21VP_<4p%DzKZP#yIf-JGp z<+UK1SdYWh=Fm$x#*cM@+q1?D2-&nBY^}TE>7wW-qH!uC@>27bRi#36ky)O6>Ob9m)a?SbiJai^NKc_AjVi2 z2``KA{or;H=os;$0LA6DEh_NTOG_A;1%A&(2Nj_=6SEeDV;?)AE-3^zj#<+5B7E5+ zo-mw;%&z%d=6rV3CMeJJG*zz`fxyvaW2PdOb!C>UECXyIPN=Fb*neSP_3Q@E$c3Pp z%5F(J7Y*&f{fX4hLFn4Z2ESg}J*k^ugODnM|HG6yy=z~NXPT;qM$fXpY zmo$h7x_d`fS7U=Nk4&ThIL>i$=Ue;|%rSXDP-b@`Qeb);yzZoO2Y_>q4822%4z5@$&4Au-~T4_KQt;nlm#lrAMJfl7CsIJ%4J6^}w=^~wnrw+28!B1)f2CHe8eeO<48JLk2vXLh8zUpW|Dc!?KbtCxS(A_?D zqZa`Ft`R(XhL5B6ka0%|G0*@jbYj3LffE9nJvwne=Ae6=r-duUN7)?%sZx(q!Ke1b z;EMK^`V$-Yd9c1pK*hT zAT?_P7)v<(Z`w^qmhl1M2y})(%bz|9q6l#oFshENeFOrMBR|zgpQsN*50K8jwSl@o znoQNVkBq=>TwdspNhWo_MJiVgg5b6wy;S~)0~diN@WSxs?{h4l4 zn`qf^1%}S_$+}yNZ@6-v ztNVL{7&=FOw*5i=?hn-&a9tpl@~pZ&2$7hu+&@wmZK&#VkLXX*fYI`G!=2|n9h_9; z+-Utt;L@QiXQ09%{>1jI=g0E7$f=Y^{MhV9-DzEZz>Aib#O_5l-}<*T8vhaC*mxv@ zl>;dL>6ZT*M1K#^KUi5azSV@-e=1whsWDi;N(Y1qz8QO<>E3`-HDY#v)CDZA8)k3? zDBH1i%!o+ejU-v*CNYwwwEZ4Q6(Ae>-3B)|=l23v4RTjkB!Y=DN!%Eq5cvV)@35&* z_PB;gRWdMw(FW{d@5MGiN_M5gZ{k>$3Lwb9_khuWFdV8C{rJ=-GqHKzmyPkE${7hB z24I~$WY4TA@JI{yBS{iRO#J0W*8lP|YG-Kn3<=7sbIzO?w59QN(#7&P)Q)QPQbLa8pb4C%wTe46!Z4ae( z-3GZSpVBILXqUhI-gZyN1X;%A0EO|rP8rjJuU=Ic{9BH zw++9Zb#>d@&!kk(?PRoeuq&YArOh`ITM$QtP2dT5z~+zYv+dskXO!fuTC7Bwz~D2)umJ1A;E6J#ANkB}vj)+irZO z3efl!FW&RENu)lv zwq@SEd~TL@S<7XERBasapulb95wH<00>P(>&a3A3a#+<60SV|LT;AW8b#-D~>pCZm zUrQyG`sI7h32Su=ON*4VjcD&EpYhUqA$J4j@_OPTKo?w0HTC87DRnt()Or#`T35|2+J$}-FQ6~~fKq7a z2CJvxv3UsqDkBFjCN!bmVZe`kOV;cMAe0t5OXOfC_0(fKYV-zUR88VsYuCN}=CNuK zl#)*sQD3X2jXMFVuG*%IylUR8Ccs(-_-~FcpJQ`Xwb0+uMpz9m-$y{PZVO^#@|B28 zCN3~RX(f`Ozop(brKmR8r*15uIA12cGM{zHb0MKQJIozkw>Z%!)9TDwR@YaX!*qP< z&$IbVx^moH2;sFL!!k=yUB2p1m3MwIMkFHTE~+Em!K<2dG%Ur%;xovU+<71_y6&26 zP!X+0Z2J1jaJ+VGnzfKkPiPsjMfInODZPz)%KBfe;R{iu)p|mN#2U$lCNKb4r!ZL; zm+(W|I|VKKN4yZf{2qzxu1NCun9y}XWGMZMFuLnq>3hbSC$*VRqDQ_RuFJ}<#}AZl z?5?#Rq0d-u7j-fi;xGGl-CNT+Wn@zm^8V%X4Q1U`W5aZnx;vul2lK6S_Hr#5dy0ha6*_`0SAshYmpD z;kVa5ZQ671JlPyp6gxp2lfB?CmW+T9KNly;70rmZ+Og7 zu3ivIlj6Wld@GytOw~J8!vH_x-Cj6$r3X15l!BB@UEGPyg+;eY8`RT1E}&vJm<+SLc@&!QbSi|_RZ$La&1 zcjYgO!$|Jy@`$*2vYzYvUXbGu#9o6`<4{(hd>Zy6-i>E=ng_TLGmCOL_T`}kTyY1K z@tVvWAkFRYuzNz-_JOvxLyika1g?Juv_Fecgh^Edgf*bwmW2wd2|O=xz%jlApivQ% zyhunI3jK9>`JK~=N?him9hd%}m(C!P8f4?v6vu@q|a12)x)YK;fg21Q3q{n*-1w9}I6KhPA* zVG`DG16Y1V`fkU5aOkZ1D$sW zxlVA&U7RU1P)X!l^?0f(KD74(_a)ayu?^seY!=CvlAWdkeCYt>fQuqCAq1D<0ExlA zy}x%3xKX2oH9MxO!K(WFz}=0R!_2CTj?d_Uh%Eu?dtPkHoJW>JFB@TixmJeFfdkxG zC(;UYCS%W1ZweqiJd|~T(&bHN=)ecH{!)+wCe{TcFW^2z333z$REBaIy`nnh2fPN? zEiQ-Pp2gfRC>V%D`PefI=DJif+`cPmP zY=NqT1|hR8jV6w-{#e1{ta|p?>4&kz{V&|kEA9sLy2{AoGEb?SdDLWV>vevhdtz{m zezTY{1neHv36z#P&Jll(iLXs}e*f}2JYF^r>oKo3?a|pHFpQTw9cw&I0BA}3(T0o< z$4F@m{4p<7$(e(G&-*Lw-sa3LG_Ic7rD4b!d*f4B;))u+5Z%e78X zG0fyh!%c9UbINfpjo2*NalHhIa4y^LvE8ZB%ljiO%V{MZuqJZl&V6p|Ca2R3FD38; zuEy>2`QWVbs2*1vk;M+wu-NS9r>fl4%z@rv8`}ZZPjfXE2$@vJfLej}hP@!v(a@k> zq$Ply1aTK7oM!u$woS%_H4Cr>s(0!zi{TQx{GocZ;lg&>V~;B7*natK=F(Cv*tFCH z-Tm-)tqvC@w{(I~E%VLCSI=p9+o4jwQFf#vZfLcrSs;psfEO8Q(E}Y#@LcCrpx(4ju*uQ+ zL&`3hhIDj@!tt;D4hPbeA{)& z_DaN$Sw7V7vC3_ZWap=aDeNu8wH;n4C|Ayu(;g%~!4_hp@t$V)2caZZZvG-~VIzB5 z9?kRTmWF(GUe@B2acGM34RN6Xm8y0L*FZMLT)E$W(urR%0_ zahgLkFB=YfZy0k?>KPi6+wMXPaRMrYFIa(mRfDA00Tu$iixxkn`p7|EOuVN*OrN%g%V_KHas=uC5F6d1z)=~3#IYA zCHM(@BT_K~M>fK&gVa<>wSUTRZp1@A{4+X!(q@VxICqgD+mG9ANy@j7Cfd`Vm<6*b9b8}_H;+sy7U=g{Zw{q$nOH%4jf zSq&Wwq$#~oKHq0-I|OBHNYviwIxVoELwNYn1a530{e}DAEODyhOl|7*(wWWl4>c4h zeblM;eXXp^ccURC5GlSP1rLKuDcY3V=Tw{P*&m^;G5PI99h46v*6$9%vZK7K#}`=> zzUMZxY9!0OJu=1t^73P2s2ktztCp4qKU?80X)ipE@A#2cUKCVNou`Muej>F{dtKTi zG@gd%A1O{Ca2Wsqt)LSiXIbEi>6Z#-HdeA?Y)}Gd5??Y-#jp>(UKjTxu2t}!ipm#?DAd)3t9l-A+aQ#}&N78X zc3z)vL5)F&gN0K@i;-j9?(+(s`=o-?Cb`#ryKmc*>ekDp zLF(2p!mPs_l7P4^*kl{!`pUuoxQnyb^Uvc=1I(-l`DyQ|V(1WwnDq z$8+@roXW+_7o;OxYHSa^nsQTnS693!n3^igYKWC%_El1(k7wQ6d;47GJR{9z<6WKm z*Je9qp-DhRlQNBh5D8iED;9zaXT%8A{k}qvJZ`B`&p<>Y8A~KiN)=cfR?$+zOs^cW zOj^ZhJ-1i65-Hg?+p1^DgTw=>sRdsZ-Ok0TL0i?W!UlM|CpD*e$w-l*ZVuNC;pe#P zodr+(&T`74HSn_M+cDbnHZ%z_=<|9!%d-VU)3A^M`;^y*^^BZ`2Q-K6*i}3u)p>{G z1Kzy|_Ux7$jks&5p4tFdm|uCwOaQ#6*<*`sjwf$d0>h#ZXE*BOBR`=5YFpT=3a9Au zC*UGbRoIoSM?U>)4u16c8^m*$WJ7`bia)WwI!O)9JhEo)w@%KDo4#N%X)jEQ74M0gjW znf%#^NLZEF6PeVG1pHOL8#_^C>FD`cV(6p+C5kywOo>8EhhV8hz#MhbkoqO?7zBdK z4J=%zo=95C<&;7^h<+pMu->M*BZ>W+Wnk1L-lGq?%swnNU zKjoBxVYi%irvTIhclWi1=ii{B%nYs-ELqzeIRfx?cYQsay$Dd+BN_854Wg~%FlpLx@-`b?b( z^~)a&`^r(aH?7#IJv6PE&%@{|>b$aRarH5gVWbU6;A*+G8SxDjpLK*Im?LkHq={Pyxip$Se2H>X1l%_4t zAg6398}quub>(6NMm#h!4h)XX9`~co4qRUqE<6#~^QO_xfOE@5nbWrTRwdyqWEDHd zafhq?zu*wC3xJdW?Pmi_7E;xX5vcRsh+A^9CzqWCCrDo4NGhwl%Sj!){e>G4> zpG#%$`i8-y7Ui3tzt(~5724-@dz{Mg9bc3AIK0%2A^O8#DEk9gU?o)SaCSCb)4o=~ zL)*YvuB~^*1{MH_cT&$C+WYiE0b+%`=}~`_xU;Y6T&f-`IzaJlSAjB?Y`&h6=3m*> zu1^g*v1no&MH>@DW;y@@x_k%55T2xbHKspVG<3C=u5@Jt#A$U+22yao?OyKE5^zB! zmAmS-ex$FOvwaXZC6OLG{)9sVK(74E*fLz}?RiVvn7JjC{5rEJ0T>|yhyb{&{#KVI zbgW&pA|Jur$M51sDSW(EC%fu-6~A^STrcdu`pJ(z0-BScgEdT!+Q9J+(G+Z60WSYU zwXbp8NJm?5p&1;Gpuy@ii5keQBOyuW*rR)(3ej0)*Qigv$vN(%zy%Q7WfS?DW_YKf z9>|ilHY1ttpm8AGav`1e;w;SMMnr0jfO-5$Cq8^M-(JQx$Ao0~0cMe`TcDn?dw%5J zEy+jJ^NTw@k&0oFjvSyBA;l}#Q8iMjzpYd>$ z7drk6WbOfeysZE=GudQ|TP`uK`q0 z!(Ot+k{sq<=1W;&z*)mUf3xSO#+{ihlP?qa+lL||#^$Yl=r8ZD7Mcmt7JOB}jVy^1 zE;LE>HwU~6FcQF&EkHH}GzM4zX?5mt*HDM zPd1Lem57+mXf>LDxkJAN4Mbg$X1#|$f;ibQMBx*UvGkcAbJ(a%5T9GlOy7d_fXgoh z4l8$_G`*j&ZbXI}m@t{gK*<>L`(cqEHxUfUxuq_FKb#1NL;xn5qDToc9=IUW->@hd zwJj+%jECH|1%n&!TS!&1WZHnzNXznqxiYw9-L}nr)g8;iVzR3$-@`EwAUR6JG+~if z#L47UONhRC66aE>kUR?2=K{P*Po-*=V1;A})<7^#=1+~8oL-s9WKf+8o0K%11!s=) z-yW1e=?nzJ>yC-!srFLLbki)Tb7lT`RzjpEAcxCBU;q9o1K;YuF2zmvzkGKNS75mD zvP8W#q^xDBmPtDkPk%FXBSu?<>5KDm2l(H*7?d38+!V7Q3a-fsof2p;djLwUDh7Hx zAm(q%^3W@JvXIl%=y4gwB+%b1w}Xj9tmL=|_}!B2rld)SC%n1D`ge3bMt`0Qcr2zv zTupR9vzOTvJ0z}-P@0C+wIFzwZ&6y$&gv~cg$@`r*BL#c-zo* z7&yXO$;o7wg2I=i^G1h%^fy~X60Q5UCcUwEI%_$8Ht%+++FVnSlj?8O)+urrK&{4| z7v6hzfZt<5fv^E_gjFWYLN2-$|LAYjdRLPE?CE42v0F_jfyMCbZA^k2ThX=k~VeZUGe#)0rFu zAsd-xO;Zsdlg;Ray&V?9w<(Ko!1Xq5Q4d3L!H23OLc*_la8w#?ZwxN zF`4h%4^EDp)X-3Y1!RFjQv~TZyDFn2grO5ADSOEuVL9Y@T0_}U8d7aT-=%Y@+f@vc zlQ-?7lT&54;>nd4UG?%gt|NxB?eWcFJNIr9Nqx6$mDKRD%nCa#te^fXAAJNOzYYiw z@P+LJ7s<}=?<<;-Y~0dlA4_{mfMX9wV>igJFrxSu@Rw6IjzyA=e*jj3Q|Hu)49y2% z$q720cZSf`LH(KQ_?U3ufli_#KLf)}Jjpg?0XLY1pk>Cycu~Ysn1QnR9@` zW&ThLT}o=*hd3 z7CU@xlyC2I+;){~folPNyr7IHiLPt2q=a@A_ziClO#iy9);gEJAbmGSF_4*>@}s7D zCcPqVkvo_tn=l1V(ozE#CX^1?7Su4<%D`A)U=@X-_xDr;AEb~O1=WrBB-fgPQrL<+<8PJ)wNwTU$g0EcU zY2W!4X`2AQU&>izThO5(A~A@SoL~aDg;u!~vCiciGHFxJln7dTNV4nlbnWX44MCm8>%ko~OIvU;2rUKAOQFr{C-g z@KF7m`o@HXWbkR43X3p4t7sv16QhKQ9+;!qRO8zcP-wVtz9oQ_1p>eKA(zgLrgOqAOl6GYY07m9A zPV9GSK$6BrZdL5|5qA+cWC?8k+^FD=)W>&0_};m1+W|gIXD7NN%jR83Lir|>L-fi) z76UMS z#(jtG+|^}s4@WvB>_&_K@n2CGp<+yH14CKfn|4DMYmIwebRYAOwg`ZtJ>yUwPka#A z#c1O_-I}z3kiFt6=&(`pu@ijk`2NQb0aNRRryFIGgA2hR4h`5+9BuiLbNoM#O^YoLhNJ*N3Lf?X?$u;w2~P*PiGy|janJQ&gm(qzt>NrXg;(L^-)Bz{2^Zr2952chaV;M$*M-U#NEmL%AAVV}H7Aewlo#eizO#`dnSLJx? z6g)Sp+=)=nP>PBd#b{?WQprE&?t_qEkz{h^bRzVd`fphf;u-k?DWbfA&!xnx6ozM& zloqp;WSOi29(rG$PL&hKvH~!PmQ~V@RAdg&7^tR)izKoy&0`VCn0f9xVSA`^cna_` z2x95Vfb9l=lFq#`a{CRI=6WWY*& zl6iXIYxwXwsVAi*W>)BKv>)&?k5d_=XdWU?z|Q~EFeJ&enao9ai6dUMP7=ssNX=3} zFImu(;ySoSLltBefX(meFhctRW0Dw2n8b-%$nwoyTz!vi`2j&=jEgvbze;i}KU7;9 zx>WipUL>I-N7jhiVY6T<$N##z`pEfWXN%j*wgJ7%KyB|pm;+!JP1_=O6g5H;<(Y!B zIU8mOY}#<@KDXPj}_oR`-Wr6Ipho; z`_~IaD7c+(2M{m79?vJ)#}ZDd`>Gz!KZX=CohucKj=P^P6U2ScZ%fd26?{LfeX-&B z3iMazast0)e|Vd;ZQBpyvAiWtU!*Y&Fe`R%l3L?YO7I=7iY0>=esc4u4e zN%N7NW!};i@U6R925z}PP+u`#{aRq#i}M4}>$bbxNgl0!xz_5aZT@@yI)9;}yN{RQ!|fmo9*^vle5 zNJBod9l$YHJB~m&uUK!K&?W8E3T;7B1m?S9@e`_@6MRnPma`nY_JlxAupKGF=WiJl zwE@HWlh&`Oja)Lq>U_u%m3UYGAlLh{Ake}*Adng z#qFW{@O~FW?AY4NfK-tm4$Zd5?O!-2OtVh7ti&g3-QzIq# zsedZz1BZJD-OoWzm+iYp`_cexO49dW0onnjWP>_AHn_+E^SrYG`Z#6WbU@ebtNKtf zvH`N#s-n1M-q6mpY<3XGkq35d-E7Zal_9t50XkzNAX-f>g28HUmwQIbI5IbfmJJNr zq3omx-}AG;`s+Xa(MO0>b*9;`m=l;#NPNBJ_m1jL8-V&t_-_m&bp?2e{*R2fJxO^mC|$xn4zHFxm}=KX@@d#J+u~n4LbN*?fe*Anp1gO&7qh_RK}YCIP6%+Ics>t3t}YQ?EGwty5@`%-Z7|MB)Vzp^A*o>11ubPq0efW!_5 z*L2;he)%f=+dcVM!v6q^!6U*W!f$xENBPH%7gq?HZi$usGX2;CV`TeXY(HX}& zYMLh@zwWNwRFB)(#2vYBEp36ObQ}qahUsVf7UUsn)LMf~Q*#1=k+z~!| zGU6}~Wf6*Q`~96gFI9Bg9jk>hO(#eE>MnuEFZMD*G4(>}u|e>R$0r^e_g5xW6hvD?Xa9j=%|9S#lM&<~zVt6?Azf!41+6H}yJh)lbUKZ~7} zvy$x=*wBFmc2`%KMa)fr6jZBFs1^AG#9WDgPUrwEkurC9N1zcJ>c4sANcr!T6FIy# zk}c!0JP^ngZlCq<(xG8rlPNV&S)fPzvmyti6EmF*+xsl3t^-nztX%g$qeB?|XICeO znk!!YgiLolhL#*e#m#oc+nlg@`x8D*%VRY|4Cy-0=%A6V-m7QszLMhP+X>a`AddH= z%HD(hwKuPKv8rUQTb;h9}LyR$8@$Z%DK-~_l zn!aFE+SJ>o*dt~@uucR3WT0L(S|;I^kr=k;f^4UvH1y~eS?ry^L1XOHR|PXn!gMVv zFu!)}v_i*^TKPN-q2Lx1pmsTvM)=_X*S)DhQBoBKzmYAHLKeKmC3~78baU4Oof)W9 zaFSn0ze=n#94|O{C&Z%9KzLgq`y%84IB?6^>}&X)WR4%kY2xHv$FLdoiHgQFriwBH zJnVGh+}1c4x}J5at6f%ZkewGNam;~N2#zS>zH=w9Hro^>+QFkb4b6}@SzXq5Gh3zb zhUBWXaD9|blqyzNWK{u*d(UIMFF{}VEN3|qp;{N`8q60-%*aHwJe&ed@P5r)D|>lC z#NIaF6eoyBE7>$_23)KctLCBgH*hcwgTPmKMl|Jm&TpxRR4bf9o)P0mm)n(bhZOhkUy z4&J*dIC_Bi1k>P*Q#C?YS|BGN`V1nV$j(H-4c{j*czI3*c$7Z=;vfC( zPo3C0i@Mti08-S3(+C;Qazr$Gp~B{qYLm+%9AE!dcxTgtdoCWnxjc?aYC9)8nBhTR_8C z-DK@F)b6xF!gvxFOfqlp)9S_7)$<)+}YNSKKuynzE?uIgI_ zs%ENQIqXNlX}y*8?`VI_4KBiD^=PqYw5=>0=UV+~({C2v@?F4oS1F!b`-Gjgv_F1{ zTVILuMQDdpp3d+ujht<@!++wi`E6wV*pyA2VI`q4yzj3XV-;zAG7}k#KIjhOqWMbV zz$_D)_GZ#a`IK(5QCWA~DKE@d1<2e;2L1mkxU2F#8k?{2%50sNxSTp=orFQxdrMK9 z^9c;p?gPkC9D!neW6QN&i>_?)+AiVqK9gKz%)H~%61_TPQ;C%^f&U2hrVreD{zLxaPjS>wo;(&5-z(^~n}&z*1n-Zy{t z&7XhsN5A>QMYUwaE3G=xX`OxjWmarQWwHBco%*kTT|Q;bH-GV)KltWPfAcrL`6K(` z(8C^rKjRnF)Guv$%^p9I$Gqe(4PdFNqH+dhLzXmJ3j4Xtw#BKS=E^n>wGrCq&useV zA5xS33DxW`zWFoNY=88d|LBc1oG6`ClWgi^-4CBHsi*6AmL&oPHtJRSw?|?zU=S4aM<32)-IEx>8 z^gE59*wJ=U4$rMMoeBhvF`9&?E1H2_{Q>078ZvIG&hwT;&P36P@Zmp$S}i)#x~NxAhkl!KqRpmd84p z(3t5RjdG#?R*m6U#ORJfdG30%zM=6J8#+*rU5i;QDU3#i;gUkB@9OOejHMy0 z`u3AUI37zDywbbled@hoVsL6KPAWH%JE+Ax%AV{KyDmzzj;TqUu~^CQl}g^K{1<<$ z?ykfo^8OW-_6A}})G7?hTi0MhzncWftFN!Zq~qB%RsWiMib}c<4{l`>&@@2F5Wn16Tb! z6eAsB+*EY~BVjNmLD)vSI8IY})82Da)wU}$na9bzrBc((S7dw&>R9)K`jb`xaq3iqon7<9}5FiauM{{q~*|qst}3#RHC@Cvc9_nf$Iu z#29i)2G^Zco0ZQs0D+iXacqJxVQ4)`8d|qKYfrjQlOgM?-BoeKP;b6k-+WFi9^@1SGf07}_&&?3k@Iz+cqz2=G$Y^f9{ z)}1j=OZlEo2kZKS<6AgB(u^TJIDgKx4W;y4OD??8T`vnM{UN1q)m6P~a>jx>F&dMq z5^l|k5|?P+P{`1tF{9GQ_87rwqvb^60EF$L36@u zDC>a?9==8(6)$Tz_&UG|qw|%u?W=8$3+hUR%(!k6Motv^z)}tJITc$au!?Ac$DU8Cz89usKCL{crQ)5KZh&c^=wR*S8IJRnmg8kR;I-SQIqQ32 zXyJH=_v!9Xv|X8lT%3_$bamVnUIlzVMrH_pOvA|fSr3*ezRja1K2)@blY@ydNiVQe1y(LK z5{ZPAAC=3eiZcj;vqp>(qO1n>362Jy3#`kSj0w+=tbalSgCFArv$Pqg*u`M&nDNo! zP;N3+6>~$6AfV}OSCrbnYsWtQ6NUIEw*Pf9%>qoVh@*_jf~^W%K+;;)0;pJA0a;Fj zy-_Z9;OE6+olm*))f|&njgVM2EyDa}AFs3u(X(O|2_BXMH;Q7Yp!C#&dD*H^lx&B+ zoVElAxRNo;--=G}HlJt)|FQxo+c_&#@pZ}X4I`JW~3~ZhMRf&TZO6ob9Ma zjjmC{fAAw7{a40x6LxzV_=mbKIl!^2FSJ;fYj{BKI*ZZ44>`k36ctZDyqht=IKM`K zJNah-3DbPflD1iweL zh+y1La#0_>gD-$e&N$^69B_e9Lv4e#kFyaXd+W(Q*>Dva^mg^Bwb>RmbqgYs`Q(UH z_wvd>&G=}wco1Co4GHWItqG`6Awn2gAQLxYCoR{7b}Oi__=q;Uhhn&M0+oi&s3_TA8i9IMhGSVch}O*H3O zkBZ4SH0$Ht9qS-;ga6c{^*{gCKQ;I0z_^s0_y~{wn4ak!hgUpWrx}gja~~N|vr~w3 z3H`~ml2n6z@zo#lCkq~_@hXyA8Q%)cTewqxBDtqpL>T*y3vGX)>6t;oDn)c%kc&K8*muhsjBf$+Ee7DM=*Z8QUW<{ofJ zE4Li|^AJtT1=sPJ$0Qk7As>u=%eehZh88L9R9u#oZ>-tsZaVwhn`P%d3ZcrbZu%3v zTobwe2qvVv9zb{-<&L3!Q?*O5sZadU=WUYAGQH!A3{H$|l*~ZHwJ_a_pWNcCt#bgd- zwE2|?0{EPV{Y`tj@qDDeqYV~3Gavt=Io4nOt+MAKcJtYypQjpdDH)Djpm4%-%SpeIOX#7 z&;^zfXwKK8H+U3y2^S%@+`y!BcHlXzq65_0b9eZ8OO2gQJB>y~S6@M{qiY|ol9iAn z;pTA6Isj_kCfm!3JJj8~seHVUD=Iq~E7AQB0OXzE%5ls)!o1t?MTN{f0qe?Pi zLTFIuML7vo<25@1Xqd_}SA*Qi9JF8hYyO5(Op@EC_6^iq65?0pAArtWZ0lw$19C3% z=k}Nt*-Q^SdaB||o%n*;bF7zSY$0fDu4`t^Tr7#1UI<$G^_!c%D~@!Cz&p6}nx=F1 zOy^2EQa20D2clGL-f+a+<#;_)GT7O*yJ;o4*{kisAB!87|*cl-QY6 zkWtW&SwjPqRlIF@&^lOetAe{+bxYeHX_Dp(rMPJ_i*J-hAhr8>>*sknh1vGi#xTFMsgd<0ex^LvPdsUFd%@Nv+deJonPnm#39k-1N5hb-Ccp$y zzdjisIrGVC7p$l0+foe>`l@g2BcRJN`t3;r;+tbc92;&sXWBIL1U&Qdg6z?-WEe+VWwar}h!OoAMV3$P$J~`PdYnyHu|2s6y zcbGw+E=b_y&sZ{CL7N0J~ZI93A#~Vr# z=_RLlF7xkFir49xZ+dj84Dp*=Bmd3?Ssv=6g!o}-cQ3VvFBXH^>X}--q^;7v%1C-5 zvo=3{FJ(x_GMuvV_}!XfX=L2Y*lE$1){lPzN71Z0$|XkQFdZ1&Kw4oZh6zVjan0-? zd$JIZ{SkMM;DyFz8@zyhT$Tgs^^o_RhFWf#26RTaP_GZvQh0BBq8eQLBQCaRqMZ-I zxavVwz>LpNoUHAcI3vH%Ukn8Rh*if+tdJ8OYR-GK-yF~=*vj+I-)am@LPbd5}=dmPmEuE`qE$B`O>2=0}r0G!b3WSuL^vp>2*}KEy8jr<<-(ft2ho!0_yOlbWb^MIc*80_$K5NHAJY+Ha*Z^p<&E>(#SSEvckW|4>4-E=SJNw^@U=ms8qZDdH(r|1;xXZ} z_J*M%7Z14RXI+B({aQyPt6+L}liq7SPgRy5;+2ojOdkfbN55@o=EQ02PI#?{>Am1& zc(FNd+jFNS-K^W8q^=vdQ&wyL)iKE4p5SL6n1>m<<$j4HH;R)f!S&!yHRVMgiRl5_ zSY#Vp_}T{DGPS|{82D3)>tVs*TS6d1(t=ctqcghS0BIZs*8lid6rRwq%F44rS+}io z`xaoVgid!sM&kN-DoOz#;d`-1$MfAFbQl>v3JfVvNpU)OqP6w|F0^72@w_m^yXs8D zchnZkx3bQu7RF@0pMP{*KM7-pG4Ll+ftF$}c)5J*&u2)YUFc6Y^a9`EIQ5BSIFY1P zYg4bm11*3xD+u~-s02epFqRV_CY{i_gY*Et^S%=F)0m7b5sVDMWEA8GbLUuZ4)()J zYUoE`4iKr>>;RfM#a`zY0UEhwV)ER6hy_c@_d!o8qKPT$YSENA<2jI&mYWA&W*?nk z!h!R%9@imqNh?k4CEk#;X9}l=FmG1QAtN&!!5Q4n zm?^RAX<6T#TrSf9YRT2S!pJtJJxPg9=A}1?x{SNwG}-wq^BFmYKBjYWBjyicF^?oX zpG(I`1K~nDy^+!(0?NOfCUsw7_^njiM3JZE%n9a&gIvnPprs}MiKfm*niW~H|B;BA zQ_PFTEHTJqV+e&L7Ele9m^sHhtklm%Nn6&n<(p`ax+kZzK{E_La8I~SvbvE?Ol`lbW6KMaX|ew$RRF3^pzv!@$c zzo)}IN9+Ryu&vG*`3F*FxoMa$B!2DpHSR0`jM1K~petjAdW zl*!3Aur_@2_>!TsPwd)5i}q8#+u6sGD$;B-?Y&1w2U=R?k29#K_VD1wh~P-xW6sRQ z>?rxR0*;pZ=v_W7M{JZkRG6MzUR#j$w|#Z|zKafMKUMaEidO+o#RjOMZTx*(87c+Y z^zh2Xb&=W7{MZGzrl*g8n|fsHJk|U*SY3gz_@^iM2A;0AFb%ZMIqOUNw87}e0Y!+I z=(gBi*<+Th^KDbu0xV(Y%;WT3OZ@5P56oKV;Y0Ry1)pSEd_hw4@ynOi?!afddAWZ7 zRZDc$`c|s6D|?2mQ>R(Dm+2F)Q8!k2+T^s$=0ow>C{jON2iJ~viSQ3+Qc4UE6zpJD zl=TU@*R-R>>$|o0AOHB2zx?IO3m|^w_(mJc$1lJB(*F9()5l+Jr^9I&R+FZ(=Y#Bf ztJ7cqt=`I+l7HiKDPm)*1%10)9W-;~QI^9|wfTg`aby;S8!<{Ypz=IwT?Rluo_v?8Cgf=!{twvE_4nDwRWGsXQ& z&F+Vv&g-e(O1#MC*cq5H0|Wf2t}?8TMtvC8SA8*;zb*Rf8Gzm=uQrngbA?oWTRbr| z&6yGab^hM?pszpv(gspX|KYVn3?MU*!>@tKJnbkqkc{ObMj|t4XjaN@-H^3y)25ld zywp`O|I+}gG5d()WBB%BIwCkD=18gzd2wQj`?pU3qg40urR4<(7xU5K>BafupTb?Z z$qSefl=-9;Cx5&lGtb%f-Lw-&`uG?63}k@aRPA@FmGAJ&)3j0s+BHVyOLn&_prOAT5MH8Yna!<<(|`@8_J~RAjjKjz&F+6ARrVW7>Dw2kO_|$6uDT1Cd4c@mI7e zBaUv2-8@rvK5SL*OONwyAUx7;^)U)&s8(}8l3r$s0g78I;9ue8W;#~h5ZF5Wp$ z*^$1;J~b}Jdv$kI;31H(V^(;y#lD`mC%fgJ>ZaacKT(m^i6{t2fsg0ds@U{Sne|O( zGwdgAiDWsxTmYnwTIm4oaFh!iezkzv$AqA?+>`~lUyqr+FLBY`-1OxTcx~vxWrtIo z&VAYDFekgFE^nIgnjOFn3P;rasKxb0H4z@D*CnFL5ProFm5yR+JyF%06L=`hu`sGh zM>R2^v39uMf6lo<@q4~JWre!zBpdM!L<{uqPg=V@)kg&PUI6xa+8k*Ct}`P6h% za13M1dI&ZLA=?$9H>a$8b&Md`m`$pojWUK9W%$DC$?dN0JpZ z&$WfEgmWl6(C}(_J#Ykx(hwlH8&`jO+(^+#Q5jF~;nqCxXc?Y_M?Fkvn;yw%PGZ$V z*k%EdSmwJ9N2mQvp`0aJu$s^)ohsE}z>gMSaTAB{HvpwZn=;%CIB2I?Zda4E#(qHK zJ_2ypOW`wKcZVw+G5~|RSWTL;4afV~*(TfObmp8_F#(dL1MJs|COf4EC)>2IrUg>8 zVD>}4$u^H^ES4BMXR)nX!?S3Yzq#Ef;cZ^gsOU^n}i0ZerKrYoQHdZcjJ4 z<5YyeP)!(T8^w9paC`g%{c31j+>NK;zG(+^D0xjpG!wHKBkYP@1Jstf&8}oxXF48= zk@bqrz&ysJfGatr(*)}H-W~5YfV<|G=tm(T6k;TKD`DtT_=p&Vo3V8%y$vnDyS}21 zIj~w6bPtTetku#qwL@p0by&~W4P&gesb!2?t&xcGm}f5K`q{;q6YBn~AZ|$lwOV#xiKsJ-t*` zRu>HFe4lb9b*0Tf-zB>x=qgV+*HoiUw4otm)mQG=sEFYh#z1>*vJF7lRa?;3aW*p1 z_e0Brf#0-3&LExWr_(ApO~6-j#hLP_(p%eNFZ@QQQ%+_Ejab?_&rExgou))=?qYMJ zMyr+7C^B>OLR@mGI^eF$WFm~2>rujxHyMZNK49zuq&&b&Sr`F^aE~`UwXmOS<^
1fsrt6sku{r9F)Svx^QITgJ_L*qZb53VB@KDIVU4{;ObjajltkWspw8k-BfXL z-q6#csNfSQyWZ{0^F%e(wN-a?JfjmCC85?#2D$C&#dX9C&ng`}*^Xp(%RPlcy6&x3 zMia$?m*1{8et27P*O(D_ZiXf)p6?vQ?*V`jM)k3L>iW+(8<&g9jhjeWhkhdin)+=` z%PP zp}*2_Tl!EIQ+xBY{|SaMjh(%O$RaL!A`HL;!P<(oB=&yD9f~dZ9dephv@w}NAxPi_ z11iu`z$B%$V%>_xMTX==1lC0)m|pH6qPFc#_DuGGnVPJKm4e$EG8k4jGhxC;i=cfC zddnJgvZzAID+A5vnSP*MDBvbH(PF@L#?g}s(?1t|%Y&N?#4T<7Yz;5~7qFf}ErQeK zi9@)IMxM%1_cQ)hdDTbu7-R?=I%>>1XDWyDpC@u|G>nCO)8w$@#MrnaN&|xa6OgH4 z7@4DBUDJ@t_w1iCkp!iCAd=%q;_>hW$Mw@$X*v@A@efomwYn9UJ4cB#lqPs^op|(Z zLx{P!@dS$7jM2z23q0pJt2TB2%pr#rt+cK3Epdm0KE{18xQD^H0#;qix)j2hN{9z= zgX_`O#3ebqBXa@Rokt}PaY8fc=#H#67?8vyVMt>d;g)yw`jg}Uw~A?H8NDpk*@AP9 zB!*h0OKA64sFy0+Vgl^AZ0}7Dq%RJk)3b!p7 z(z+|_Kl!n~R!*5%Q126$qmiSJ)N^<)3n3reF z_abY^F#pg4b&2fqb)9uM5mX(msbKD|RM0)Zup34_rgN4p@ItLp>;cSQ6vKNxV^rT3 zoDBJnEC;3lKik_LHhK%stqPb$?U4>72ymqy*x-2$A&UG;FYKPAZJ)}>Taf_YMrQ?OLhRZ9~j`4cJ#L-^Bz?JXqitEDFD^lJ{P!&0JPDj zEKX}C+=DZT?yWUm(A#VaH-}+7;9|Fh9iTg!c7r4pr7;bdW~UnXRTX zZGoNY093FIfF;nQH0hDgy4YMdWv-N`e0F5zsl%toO%JS$3rT1DebLGV2iX<~sNPZk zWX;KF^jE&sZO!LXkMp2kL4>-;h{6oW_Bdl6r6Jb*P=pJe+~M%;Ewx~M)k9HM=v+58 z_N!E;EBy+JP585r0hK+2<{1kSB8AB$rGemRL@gSIwVs#Qxl);zE_~&vi>M;N=w`HU z#)sN99GNioG=S(2#aMsyPpa^L_FGtw_<#%?@0A(Vxq&3m5&M0;0qjk6>B? zw|&PHx(7tu$aNpPIRR+AZqA_jfD@&0o0!HHEx4Yu0fO_Ec}e@C`=pL|t|N7PT#QoX z$vn(I@Gr3J`9>F0romE3TP>8}&ch34D*Tm0+ca6!`IZlMa(d<1;A2740PV-5QJ{*q zHBA`=Y2Ttr14Fw;!_fDy$-)iE5T@P9;S1CgiUz{nSB2w=u+La_TMds^^8FV($S{KfGtZ&K*H6NRAz0ICnl8H*jI08K;# zr9Y_~HVm4IOb~UO%VMx-o&1_>_GJ2XF3eGTWOF0td$+?&si`2w4L@v#g3ax&DbD5) zK!g{3X=q>B!@t24MYxf}OCF9>bT)SY6G;XD)qW(7&rI0{>wU) zf4TWIGmd%&q2qv|0icJxv={51Z!+I9@A%neQm@#S^9}1vfw$S7uv09y$ZS;&4B2pn z8+|khp8A$sW7eUrDel5D$5_4;UBy5&{-Zggs9t0Y2(ce9?N!KG^5_f>P2hd_M69H1R+hC!bi%uTyHX*ZKbb zwA}ZBv;J_Q)8Ao3=gVhW7Sffy**JWw<0q>XC5fE%zNal}-RAu74v#RKmdt)gB_tH4 zA!MRaCb2tEB)zN+)p43=&A5QEy!W)NB2|fJo%Qq8NSh`BrH!~0xKBmejuT(9n`EI2 zmB^UZP+Ieb+J1k3Qk7D>+fx2dYZUgl!M`84K^WXowM3FeXug0enW{=cE_-=4%N->{ zsyG}|t&iJJr?R)_owGij##~=dSlz1hbjttdN8g)Iv9DRi@ur5Ejy-uGih+4YgO3eX z{2$_TeUF-NOG~)+E}S@w27{lX>Gla9ysf=27*N-qxji}zo{P8AQob7Fuh~hrWbD0( zkLq8p*oHgmPzTfJIFg-QUMGbwlQDfR1-~zUzcnEPNmm7T-g~Zz0{tB8!58b3YOt1V zeWexGHQL`D{Jakc>-(I}RlJz4^S;YVh2+te_1C|q%?ntgcy*@20P%_MhMoYuU{`Qx zYjM=C7=Gbc+coX^PZ{54U&WX7JC}W;ov(Ls@v{Hw59rLBRsGa;S2~Qgqm0jqT*xDd zblLY@8?r2QZ8)@@D!GQy2u*2TI~;Ciy6NYA+7>4$?`f=+qCPx!7Fmd0X{p@3w_2k)D1WM}Y}J=)PVpq2-Bb-;2V;gcBUfsAG&b zV3n(I%cvTjG7AGQoWx>>_nKW5kTO~&aXN{*R^iNdnnSKM{U8XZVbv;dnWW~yx~@b& zMynvO{s)9!4Xz$NI|8!7bjaC*S6K z?KD`W+L{LRg=Po)M)E4c;k?d@#L4D`>ndKLXqovL9osvRUxkBw;~cB{gO;XQ08@}Q z9+GdIfL|Lco=P}Rggw}b=qK>;@kFf4y8gr>AF>veI)3}I{rf*q4m|b)?!ajIdUUE? z$zC}(?mWtc$8y=8UkE*y@V5NaotW@-2O>iHpvyMLGN;9n!yh_Od$38rpn+^<9K&$6 zbftxh$(q+0ZoV9@rk(xH$?^nhZ$X@L0OBa{XX`dMiU1wr`bYnNJ{N$ALCUtX0{bBe z7qtQJh|+9&_(8J)#rJ|xCBClkbcMXTT2>%Ol+C8T-nNG71M6S@@n@gOrF2!R+i9Le zLRKekB^z4T_tYYIo6G;myKP2C@iIHw58b1E zqUo6xj!vhoLSD2Q1&qLV20*nSW_WG@XFWL5E!o%$`UlJ*1EKU!=L z#iK(<7@ZJ1AXh4iUC|Z8U9#L4%}^n5!xiVpp*)7TZjvbWl{By?bD(F=Yq2O5Dk(&0 zKWD|;gi;YoRuXW+@277OOjHdMPbYg#Y-pJ@k_^*$MSWSE$x6{_p6k%h@ zXz$p7q)I0nKA8_LO7AK;&*}QE*sx8fQw^Ui$oWbxaGLDtSa*Yv{OQ~l(G8Ud=*9EX zseU<_qnKKx+4tLGA+J~oCJwH!+Y5qIjQsRR^E_#obC=_1Ngph;Y4*91>rUS$jSKGA0%ahF@qcIL7y^E1H4J%;0WPr9hb&@YQ7n{!kd|C-Xs; zjk;IMqH#h3c{T-fkgk_+SchwQY8*cpc-a?fCx|YBckPi4iE|oz$(YfT>m0pur*vaQ zHOnDC`>O0iwEsEk1E?Vnx7kiD> z?6B!9^}i=zO#{;NsaCquB^;b3^qX{4rWhax2xna|FXXPHGdB$V1EL*2UCYoDZLw&R z(GIUDZ{A!?lRWD-o^><;Kv|_Rm9>KOcD8(K;)yoKfQT(|A!AiHlepM2R+sS^dm0w- z0l;9(N$)s985|~NoQK%@@sBk7G#?kbD}p`Q3Z2kVFA!0?X+mA^kj9gp*=q&&77fzBI;;ApJAY1rWVw;sGTBo}llxORL z&Yb}x7SMl!R=n?AXHO>syxO1<8U$~#&2B%{@bMHs2D$Eesxv@lBC>&XgX60OllwCn z>3-ldq=8Z$I+u1ssq}V?t&m$8e#sR+Fx|kd9#C#uN-v3m|E#{VuyiC0eYzeRRXRX z?0nfC*<&9UbUhrB&UB_I%2vq(!H}Wy)-`T2*X-B9&JeA7=Td%@EeGJ><@|sf&9Xp# zYpNT&he4}W>EmfZ6(wsQ^c4uxwS7?&V!hAz_|N2>xC*2;m$i=4(F zqnt?*gidA3Vg6*>tg-j~P=b)eXq~9f%o7Cum0i(w?EkR2k}AHCWj^wC{ejraF32=rV`0M`zlFc)BTt{GwPxuC-$j`v&YZBnh`QEd8yePVp& z6BGFk8-4Iv+0-?+z$r)D78@8a1zs@Vm;$$p8rPyV{5cLNb6;O^{-$-O#5w14xxV6t zlvl}o$SI+mfOy`+N2Wj7;;WUFXS{M9>V|d%gi4F^4p(Dz<5>Oz9xT4{l8HioiTvDV zAQf5$pK~f;nGZR%M?|)OjE+v$9lLU!sQbWSMknnvJatq_aYqu-b_35BJZyGj>#}=_ zQ3rP4qME=po^5buWh`_L!3idUOKbBCUoU1f8#040Om~6j#HPNG<$w;~0ZRy_AIC7< zV4}pS`F$4WowC?bschgG91*N~;+9t)Rm!vGSg>!VRsq(xlsdWIRUU#wsKaPX&5(X+gF0($|WwpHt>xk2X-wTEJt zZF+k1w#+K5R zA?tyT&bBuUlkv&DxZ+i{p!;JfD22R z&Wq{454Dbo^FJs@$Z}Jb1C>-)Jx-jIl>JXXRQ6t#ckub(oq&e=8vo#TiT03a6`G3L zC9Ey5&(Ja=@#5kgW-($HKvo@oQ&Z>*91cv&MS(~!?b5L3rzl9c-&(@^))M}=mI%JJ z1TDDh4XuT?^6+RG&j+sqJGN_K>2Ku(LWh=S=akoqHlGXW;_na-40vrCh44FN?uYMJ zVf=k7Oulc0>5W2DoMmVohb^4b5fIDlM8%LH?Hjb%Ul0~MjfrJj@PW3keV^lwW^eD$ z^d0?cx$OFP;&;a~J8IX~Bgf&k_Jds?O8e0XX{qpi#Ja-aufD>)jdo22E!*(cozZ!s zkoZlt-9r#6g$2ybS{`rOf5QVcj!Mr^tH~ zP61|!GHYm+te;W)4K*??ye*862f)DF2;M>-xRUVvP_vhI*_BpA#3$_GH+n(9K{+qn zfBaWI`;3~OAJ2JJ)_;5lEDabcTlRY*6IS>bA7BsTE$|VZr>=I_7GS4LP@GQLv0;Zn zX1grmt(;%T5>l}?5;Q}t(VTrcs)XHAbi~CDk{e}716ADpL+046$eS0Ko>He4p?UB z$dsSXeDeyI3#uOMM1YI1QO`IxzaxQf@XD?_6}z)CGYC*pAKt38fV2Ola%E2^Re0Un;LeTT{%dol~-qAP2dDgdpDgKz+=F8 zHTI-6A}VYU!NoOpI;eoX;^cg3Qk=3$)wKe5Qr(y|xDh;E6Fj9cFIENQGy22H*-H?M z65?qK$80*SZBn%aaO6v)G)Ps4Nh9;aT%3`|(Gd5puP5U0*a?|@N2QM&lNGXTV zXAjvG^^Zi|+BogJvxh%hw#xHQbk)$Ju8{%mLf;1~_MLSd+@pf>lopMyMr@?%v8l%T zWN^*C)36^B`vy0C%E5K~_g=)#wH}?KsGZKm{$@r^N0CybBI1-HvNhlP;%4hRba=-T zD9VX>vFkaug8f-`c@MxS45FJ>#(15Mv(W?I%nS2wm9kSVB0xLlk0mP~mJp&~5e8z8 z57OHfCp^=wX|1Lme$+c@i~x<{vbS#N9JKc;YOu}ov+$$BclHUKe7Me_)guSJ&CLLs zG}u^)NsEP)n;Tod^`r0LnWMa3qSg4wLhCjlan&s|;zPZeQ;za`iB>v>ni{Iw)PszN zOCiro@djgH7;B+*tr*P*JbpRQJKiexJ;No((-P(_?{KSKs#hAg@+6*Xk|sp=D`4nj#B8RQ54N=wXc$uAhue53C9tCef|)eHsO;!>_< zcM2|65DH-eed(^Il$du5rXH1ID%fh~Q?q)t<)}uUbZtccn^F?Qce=KdR`3BFPV2nu zPl1c>bgZu&yWGI{!wIXvIPhkzR}L%`9+2aw)B(x8_VdIk3GTcr>vNh3;v+;eNIN)e znnHF_GQgT#-e|fWm_}61D^D7WL2nA)$QxXsb?m<0+GN+zQ4)p>wI!WM8+B=jOE3g5 ziEH+C2x{p0^9}qoVqpH##`~Rt_1*(|oBs+aaYF zTdWb`3iC9A6=-iaC2ZprCk)(AB@8%Wu#k+J5byZ7_XLi0;36RpTDXE>FR-&sv3*ku z0kvn)K?8UpyJ1|x^xV{T*=-dM1qp^C7%f#t!zUiDTiTf9#(XHap(28c^|_AXfR5Ke zNP6%421z7Z^Mgxqdr0+HPc1gXl2 z-h-?zD%Wrkʮ!xT)hWUv7GugGmWe3eeZF8ex2BwShWX{K|h6Tgp1P5P+t zEevI}=Y^!qf8^(}_QEcvgrz zlG|(vfHiCY@E}eM6C%-4x9-E@pc`YcAxpq;(Dk&;t;cLB)j}XA?SheMKcqwX7W{Kn zwR}*8tYXtWH+-dlfwY9@r_>Urcdqw|yp%abYhFCHC5A%Yyvu7373we=WXaT=h(6KH zXb+lA?AI`C*8Xc9b{Tf;GzLGAVNSTKR|*-Z(LtwqvJL*NA1Hh*S%@@h1P@tkvw0^E z4HGmATz~-}&*Me{KLb9rvmGt-aJj%ezcqC0N(&*vvMvin`2n#VEnn5Pyjo-XDy)sr z>DC3E4+}*t!Yn@v$(3@DKdWe4qe$_zNcPWqfJGGIg=NY8#sIScSO01*&(9a404om8 z5H|SdWnZ2kUs?afU;XSehQM0)MF}aGI}CucE9mH*DK7{#E4#MR@_@Jm>NVp7r+RJ} z?2+o&?CO$MlahfaK6ms7)Uo_J1-HO$=~}0v!&7@BDQWm@LBi*U&hW)3k>FdhBL%k| z&aNC6SMtnKg3*1!$YLB=-1n4uE^+}C%@p7hMH;2_ZGhxBwbm++@P69Rq9b*a?fZ`Y z*mDSvDo^YT-@tHX5qN1(d19*ssDcQ@S|FJS2&Y);vOr>;vJGuub-zC-u|$idOJdxd zerj#%y6Rq(NUB7F)!m|ztpxZ3B|s~Pl5iI!q-->YPuT&U*dpR;5pPL^dn@p)ZFVSW z4;Z9$_mg#duQoL66`HU8Y@ZwWZ7X3t1n4w>uLXm^+U6HPc!)@#MM6^~OhtsN9fa1o z$#M6sWI`r(|antx18Psvrapz_f>L#Ik|6%2Tx*;!|$y4_>Uc>ZG6R1vLYWELIz)|N<$ zp_HoUz1S2DjcQTfQ%NojN4+Q^)&KO<5Q>b-C6r&E4>QJ7V}O3%3UDr|1!G>18DI50 z9!SRY@tB^@Vz5=m9DLRH^z)8{JIrPVAF7OjeGUW7EBBfzce;lrJ_wmVtTYps%6rNjL|R^?I=cgib4O3=oVHR2jRh`CzKHN_IOpmG&xcliU26}EUj;cJ886;t_{=tQmIpN>cn zjCZ-I8XwZwXrgXi2}l^7SKxXa39KNawB~fM#nGKp3eGiKka9%9_H%CP=VFUHdRs*= zaoPZ`7;KrzxdbaGE%?vy4`p4*m4p5yv=FoYij|tbOq_`Qm{)W{frl>)<#X0wq`>T( z5%Jd?DrmE{ufv7J?u>LASI!;0uh7{r$KjB*cuvf|yXvYEi({3qn+z|qTnIdHaW`83 z27G@Q{&x%rIAypubK2r1cZx%sWwtgI=^U&m(w?YG$Uda4^tq^e+Up^1|@e#$&i^fzBZB*C;WGW%6oF)kT%7>FA@VRQ=VX;8v5d1KK9wnReNg`n0cX^*|3~VO;W^GX@O;)j>}O+KO+9S~68uapdp~ zM37o>tV$6YQHXeXSV>qyEG3!b>3OpcfPf0@D}?lcjZV;wsr!l-oZNEuAafI!c2>?e zbS*mNNWKy<^F%#EW8^}%xU@ieuLZnto;fv%ibrIR=Um~^zS0D45Qc%nuRkbCsxjv= zB`;Zjr1KU^B0(@KDT(+N(f+@wKTs*+`6ob~zAf$RUExL^%?S=`rg9`JJs@zILu+15 zV}=XjO$NoRu3m6EByQTneUwP33v6~EO|JRLHm@=i!pFszDuk;G;f^;NJRbOH;;!x# zf--$#bkI}wp<*}Y%l7bN?dY$o zy)AY-<+8~s)UP^;`cqQT>a{^|2&ovr&>c7%upeVed(iLli_VHR8fKGZ04%HGOY90s z1MyXKIjJiS)N}&-U7OO=$%V|J6Jj&g{ibj7um4t8kc{{l;>8&E?CkHu%oT8Vu*6EI zmZq&*(lP#2;E>$|URN^9eIx>s6kL4azD+vehY0^6@ileHm`=fyNpd8Zxd^^oSF%+5M0AO7LDGe z;Yfe9t65HheI^L&AbX+q8cGxn&l);27E(ipcB74?T5_ZnC)>gMRwo5cUsJQb98C1^ z+x3-$sicXVNoMTgtJ;>T&y9yv2DXpF%v-oA2RW&vqV-2E;E z!dV8AUq+czkOiEKIYf?!3@Gz-3Ie-8zQ?ml{GJ8^P#S6c(m4jn*;%m#AQ+j7ND;4` zPM$XCbWcVMz$*84UL6lz#&J?KdG|F2HYEm|t_u)i9O|2{k;`yiv?$jrL-?RclJ^L; za3kOkLje;i;?nXdThkoqNE&rU`b-a0FuB$5Lgf_?ll#t_AMo*TPiM@GR-B-g|-6Vt8ClxndD1 zA^|~|A74=?YHnUlLlhyUn&<~sqjDOt)_6npZZzuGPPBZ2mX8pqqaRj1ew0nflsod9 znQn3y&}~yi_Fqv>`2ew0PxSzfsa{l{i`zU6xPpqqYzhW%i%C$E(K(;i`=8p^`dHIm zlZpGhN(?~D0IFD$Ilr*>m~vS6}`7`1ODL zjCZ^(W!ZiGH}f?<9JA+<_7;7|{OezzXn#LK#Jy8u)eFbEgpc=6?Nga;KYnSiVS!Qc z>67YuA~Ttlc&{s2Q(-qEbT0C*zx?{|WYtxSwZ$PZ({filxYydka&E{SYMNY9k*SLC zjtV`B?&cl6I;ii8#kz1h10`^`fXQqYD)GDN)8+JUXbbnw=(*J}6&ps7O8AK;aEHO7 zo8VI!_-`83%i``|{hl4{6(0$^+4mpKAJtD*4?dSuigb`ZM zn$HZ-zhg615S>WRRKxaoT_C$m0N@FgA*LHVWpG*JJL|qJ7&A5R4#lQrzAOOYQk!%y zPICpFTz#0+RkSVks|w+)6yO>ra`F>U(y5tXv9&uqo-xi| zQ?mnRR?$XYUG1O26C2^WH@ujvkxWT4uW*|}t2~?}5fjw*&2xSQ{M8w8z4Q@0h&#jx z;fPq~m!iF)$7FRe)zuGiDUys0&%n{B6^zxqsMx?*vx6j=@eM1zCCFrbWL=XDfcuTq z5lnWf!&O~cGOMSu=#hI&vTVqTs3_VSielhskPy^m8X!Sw+bbK5h0C&MI{ zycXPyn>j^h3Pmm{3aP%K!;c1h!??r!7Tll!-kr4>ZPCZP#Imurp8)NV9Y=q8&rs%} zRDqR5G`SLZR03iM_}C0V)gVrOH=9;mZ~A<#{pV-S@uE25+3M0!&3m7^R)R=w2ebkl zF)rx!_7}DUYlG9uK3=jj@Q%$MpL2V%YD_wxS`qh7Z>1nJa1<>IP;c_?M%kob3Krfh70ulDp=+glKZRS_^|xC|HPZa3 zlJvyy)6hx*U+8p~+J@I&d)ukz(x>>NB0~)ZVL)mEfN^gdoVVm=a46e2@Z|c^EQCje zpf#NAUC$q47KAdChp={Xo=@EQOuN ziq)(lhM7mIm^z0n&ttAY1L?GvGpX-nQJ+$0u?8&Z9(5m+>X0Sg(|)=GlHT=Z7~L-E zQ%)_`7m+@n^ra47__H0OG;HddVRexpJfk~lY{2b-4G4{=V(@OU_81$GYlT0U@T97H z3qi}gg;(TTTGcE3ihAN#!7YNGH#we1o%#s(v{NRgiv=DBKat2IV98dSgMm1R8`n*l zpJ)%@8;%&!l<1^P_yT%dWE#)dR)}jJ#th9k6qUwm3kC!ej!`%tEyR|&aU}7|@R=!u znFrSqR8xg=sEWxr^`4i|;)h2Cyt2uY=M6d{fE+1r>#u)C4Tnphg%fF4cUj4;g)28) z@PK@qOc~1;I07fIlU;^LOE4QOw{`- z(sm6dygL;zQjF^LlC#Zm7;TJ90?H(sWD+>rdPBpd6#y1(ax*IgEq^*6Gtr<=U|?x` z&NGH$(FJfKpYn+(`Gm~nf(N^kqS6?1;^UsqX_{=zOE|f+Yinc^Qa0fv8@%{7Ct5hb zYi2YV%?q8um|$!%W`f+5Agvf1D<jHE(Pz)fK<|t$%9o*S=wB8&8E7+g-swB=zK_P>vGp+{QxB90xRJF_%IJ%(f%X8djhp!-HeYH*Bc7^_61=m!t0KL{0xLwh zlM=X#C5TqOlmM&cP=eTarY-FxHEMlsawcA5-1KApTzvJ1l=-A&t9z+FRm9aRZ@GTp zhXc~$h^j46i`+MO)K1cyzL^yc@5QrXAm2$j{Kck<HU( z^>6zN{tf1calJQXns|OX;5m+&2Eaz^)UZtO+@CCrN)S7LqRrDgqat?M-N~P#k?SBq zR1{D5sk@x%4q+HBJ>sfFP}5-v-<3e@AyZ z7M8taZ7g$e!-cz8Azo4!J2jV`NlV9{$d_ZeKup;V^$pT6V!t&GJvCxnRdDOjwu2|g zD+}GcaZ!MCer}5)yD*G=Mwko{v^r*&jB`fK(;>g5<%*XIBd6QtE4t}sJP6y0a?o2v zWS*xC=K1jB&pxaBZc`8Y)yUS;_RTKaSI0+0%pNh08Y0h{=7KFt&Kgj{uI}G&OCM8RAa(AWR38uYO*X z)I>aO;zdP~QR0y(8Ex1%;O^woo#@bY$m|yy0{OF}*<<*pbpa!4bb^zkp4>q>}R9yoUXQFDk4Y7<@2)Y;|W7DG+@mvye*OQrR) zQ%}b2zNyJ>2@GPGP!q(6{@_vTrK7!3TrkqrTx)p~JyO4BqI%nZ{Uw>xW&O03e$jk6 z-lQ25+qkNur4g7lPaps5f)c~&0@R00u7dirE&lcI+vn!x+7@5^&9DE0&i%eBHTTp| zO1J@xoFKI96)&fvnfDHk5~W>~2q&3P`V4wjlj6C?yA!1 zR`*bKS&cV_U10~I*u$qmG-x~NXV|~T+kyi&+CV*9JYd#m7$&kWN zF0u7*8*7E2JZZyuZyTAS?3(JXv-AfHES6^SNe zl;8F4DWd6mY_gUL4D79AcFojN1C<())x*lPFk8dNd5ObmM%0|y)_wuT(-T%X(VPLh zrt3F{`uXFRw0a!!_F%6M{h3aY#n6?Wxp;|()7aEZfWgf@&jRd30GK(F_O8vJ=hb;- z)F}q@X?M=`(~LM|xMSPq8#?nc(iZ^kbu;-l3%Fo0eoF7)(827O73~*eFL~4X7s&j( z$>UN0(F|S-G-rT_KMo99e{r3Mo1_}-N~3OF?qJ&7v_ejr+rQJ?*Nir5UZ&c^Gv)mZ zKRm{XJXZCk%x5!G4IBHNk(28TEMt{1cBb8S?W;Ze{)p8eb^`qZr}5cbnl%jR|77EX z9{Y-`monS@tk2ZFFWGRo;8m@TAIam$$!7fxz|_HyUDg)m`KYcVDb2oU>f29YuH1h5 zOuJ*3S^2i7ssrb|e#zjuhs%F>X8FFw_Cig|#}lqn$>c|$a0~1po zhQ#o`XaRZ{7k>Mk$+o3L@ET?>UQ?@l;W5dm8(0jaPn+RcLOVkzN~qZ|0{+?$zyFII zd8W4pkMC3g)j0YF$5Ds!5GMR^Vx+&uL&ee!KoCSjV3K;L@CMcFb?>fxt=pUEb_d<@ zvhD=Ur6QS>?ojLI6MhA<9+a)@;fDc>Ok zjymN9kLtHn>rP%(9RD;k0w7Xc$L%Y2@A7dH}G`!*+bohNBQS)i}wKhOr}>h zd`DwezVhM8nKxaw9sS=K)a`R8rqHp=uwYEB!$`ZuGc8yB&-(o1->cc# z-GwtY-l35Q;cmE7w^f4=Dd5>oDFW-C`_X5gX`Fb*!GlLvwuO_L)AT#4>%OPf<_E{& z581pd@52gM7K%MvoPGEdn{6dtYD;CeKmIY?+~AK6ta!Gby+_D;U=cQC`L_I$b&!OC zU)uFgu*KC%(i`p-G z@Y8?4KQL5%pPSO4F&R&KeDDBk0T5Bkesi@2PxwX*T`@h$DS*FI_5px>GgYIw%i;-+ zMzez;pZ0(ai+~U^H_infm*$dqotjF{dIMp)>Ly)e11*c)&OFp0SEeDwGpT-KrIiyM zC88Y9$f6kaGuftYRL~P;wcNy#EkZ74vPfwQ`Q2oEOuH75o54&HS5Pgx5ZPbYYJ|5! zZ2IbV?A34m-`^L0(%fH{-F5v$;-EC{kn7T_=r8)~iU)9_*viR%7`>Qd#ykoa9Hk@v zCb+>GTFsTsJ+A>#q&77@oOEXp=7LjDc zVnQqV!nH?3i3;m`Q{mCSIsgDu>dw5F;S%l5{i|;)0^qE317?KN$d_lI4lhpLobBTU zF+Y5&<-LOr72r#=w?zgC+G>OivD!X@)0G|h1kn6pODC4o&fcAz6vjGb%Sd?~{)ZRk zYHOtd->)?FhbyP!KUdC5ei&)DRu0%-2D3~<`P!W(pklUIR+?-}7NM$9XQvC9 zOTs3nPY`OGGO&TR|LL z0@F$5uHO9QAZ&9v$-nm7|Np!P&hE+CY)a%7nW-N!OW3lZ`9}kdO!^vcv{z;#+4^XyGw18eV-UYr*>T)V(=QM08}VKK?OqmKO4L=dD8aUe^6iH)a_J+P<4S>zQGq zX=pq(-DDZfvYa<@^2(!P;D#PwCb*L)z16IjG3q`?F_ud3&R*&OZ=v_o+s>c11rUf0 zgaGa9Ie`}&B8l}Q<3uG4_ig^vXY55(H2S&CND|L;jl2o$!0^I&^B5(Vt#pEVQ@$>? z0ruKpi|2v%fQiP@!e41rgURDxJOq!U1AIP1EamLZ`ak(ZeUlI;S;^0xJT~@ScEE58 zjOWywT2Ar`Zu0`y)BZ{Ze2>*+ILD+u0ZfO?e|u)`Der}ls`A`uLA znGg4X&JOXmWXF}+nU9!wo)hZ6;ZNZuV)7OXg+mA??jM%1@Ljm}o zj=3%{S)9)`)6dWeMeoA)l=ub>cfm7?`j!gDwn;WXP-ss%K1TxXo}X1tOdqzc*K6Fz zAIOs7f2l(b;0)JPI;tefYhr9Mp`8Fd7(dTQbG5Ti$6xt1YQQa0S7Y97(fSJ4;OOiL zZ{R-T2iDK=^fJ=?sItWoon4_%^r&Q*c~p`DZ0;OD z8Q*WaxAy6}-(KK(-q0-D7hrOfVWvD4?u|43^*fr<`My@=@!X}st&4P1R$382EC7Ow zteutXB+$rvIvHc=Z<}n#kNG2z2x#(hxzuA41}e)1Uer}v=;9=kX82C!z^bKy={S4* zjrY*@Q1An%**e3}f_vrQ9WkU9x{PpArkk?7wck!P2ZnOo0S#-#aDFJ(@;Cx433z!3 zB|7yI9aEa3R-_~8U%p+26)WUEkx_ZCJ=RT4rq{JH2e9_faOCyjW&q1;5+I=Xq3Dv8 z$0=FZ%>bTGtlhLf(N?q+UAkg=)vzTLu7T8VQKQl7;u!@f#4!UZ@pzxwv}zRq>MZ)oR{W>f%c+P>n>%IxL3#eF?lh39{rgMiw{1QB-3DO_ zv_|Ak#m~^R5e*}M_~ae)w6xcfT9TS;L+`E^CJiL%9l#eB+un z=8MfRn83-?!6=Mzf2dFpqI7blnljQuoJ=o6T{7?E`IV~grhrqLXi|5oBRIrx$2k^e za;55dE-<@HB}*6@>bCg?O2TEN`DA6{%BKOC3rvku0Z-~TT+@aC-A_}wrS<%9-aG~f zhumMgc&;0;D^|E32iE=c;u_B7Q$7F34+cmkK1qz{3R-K6GnQqCw@!(2cZL33kh!sQ z;1M|=ovOAp=(tA*Se?|~=lVH;54CnIg`BCWPKxFm*y* zvg8vbQ%t0(6MsU2`Q`1s#$!tHgfvLBfRdtR|7BJ%Ei{zNi**B#jX@PU!uVMCV2>-Z zg?hLv-2$oe@fZKw@BNqDTq>4cYnM6zv1Y}-Ed2X{j$Sq$O0jxT>*}*ukxdHqzv@^n zMTw}Pe8{AzI1K2*e7$5TooJHKh?qLDCJ2}IQn)OrC;RNB-~hI1x+soZ5SF>F za4am`QxRl{?pT8jEC9P&YYDU2O*Ugp_3POT>&2aXyfl=2I98ecnBLj)5;6o^1Bc~) z4(*i@^k(YujBni*8_yYURg9ZbKy}J0l;iY!nagB8;=yZ*%G7mE;XXwCqTmDHXS1hktmQLpFDQv=`%Olg@a zM&QQLN^0ic(>)P8Twu!{gWkx)OdG zOOYmz*NJoJ%Tg}Or5rw|O?V+pW@$N2GaDN}S^=~WB_FCz$qVLC%bO~E)YzUB=I+}QQ; zaDT(dNtr8}Oy<31-vgaL`^brSLel_`?~{5%TG$v7_gU7;3TatT=BP_1a0>RU*9vYl znLkK+5p|Ij&r1x!U?qehreH7%h5=xQoOQq3WmKp&kdC>mjQdP-WL*z%>_cS(_CyzA zED%ekx4fNS2)~p+$v7P3eAfl_+qx0zJ_ZZt>_jmRu$QAQ|C^x zgAR_F*wdMd^#S4sc*QurH6Q=DXaPP~ef$+|ZT0qmTPyo?`1t2V!>Dv0|Cr970iWSG zd9$Oj2pXSb8Wk8mC+VlZW+_-;~ziSRdK`>9ew+9ZC|>2hgY!vg;x{U5^NtW6@;xsc*854pB}|DvK%~bTOvYt+w_# z$E#EZa6sCJsv~6ACBvJM=1Yx2BV>!v>*3XS%6Q`WXWv$wR)fVv@vGikYb z5t8k?s_Db8e}7*$FIh(dFa4>$fG=ZK`?17xokhdZWc^u6>{K0JBvDoZ1_2db=%0fwN6Js|6G&-PqgF^2QDK9rgLlAmxz z($OfVuBruv_+F=*8g+*s>z6}*x@Jev<>a84pbhB7uI=agiYvXmYiL*&&oz3VwWBW7 zpw=&cs4j@a4#6EhPY{8x-?Vo@fB=?Q(XM&Qw^`Xf(n563vgg{a`sP$mpi~&tk1}Ye&dL!|Bt%2Yn5$F(}YfDbyl?#uUZg9!6}o> z+?zaS)%^b0(079V0QJ@$5iuiTu9y)s&iq)hW8GM`LMvE;(uD{@aVSbVt1YXgv}mgn z8hT}4nhByLcqQK0KR^`P8=vPLV}3@gwf8w)*(iB(?X@Dtc*pk`?>ol(K9B6`;@3Ll zJLKpq22HN=Ltfrw61v2%v<=i}iXE!9*w2av6sFg&W{k6L*{Ca|rj#=I%(<%P583mfze9Fgc;!hU+p0#OeJAR`J*=6M<6vuw|5a7Mmn{L&(6_WPfl-CUbh`owq&r$7oU!7yYth!@^ zNs47zTfM(1U7K`VhJ?gv8cQEFeInx!!9-n@uq$7FicQgW31WuBDIcj3lX#NY7Db`h zlD1&>*#@ey>NXHiJfEsv)opstJdN@sbJpZ8tCn$&y4rH>;+X98gTh3|BExKXLW&i` zxZRO{FG(DoAGIEHK{mbq*w)7!I$+iId~gzY&H6I=P~k6!>V645YQ>8N*ZQ}AU=E2M z&TtR4<7+HH5Nfe+T z?P1z4AdjJYm&CB;eYF=R4Nsfvvv?uPjMMOeRO=r5F~NMOt1B9?=~^md zBv-&5zO`E`S#W6*OVlg0Yz(J57o*zDt zb;Ny0EjP1C%2*$?yV0Iu^i=8J>d@H7l<+u5LO^`L56{Vszlu_#{`jaaQWp)nIb8grPMJJo?abKm7HE1A0E zHQkUco@WbtrNrdQ!XzGYc|$JVq0LJhsmJ}r=Nvcp zM8sB3Qj!^xo}=tm+Fi)Fmk<)8Fh~_ou-fVH58D-%3-nAy`0A>@5V1oThzSoba4lLd z5k!^T=DxMQT8|ayJo7%O4OWK9$x_A7--)1k6wqB(u-3{Ahm}}Gwc6yCye6YO;=kQy z45rM4qhS*{#Zg?OdXhQ1_csz$&dhzy!$>Ybn|wvMRNa7VQS&F{&Y?vNt#uuPVj*}J zUw4cg)TlkvjAW>`$-~L6lyZrKA@$(>fD%;PNY}Q9dX~RvS4hJvx|KAiJRh1Z=_@>r3Ik6#vojC2vQY{7`4 zeadV1M#q9_!iie#uk;R~^9@uCdJJ=er?RoS613X{JZpD!ac*o+r2CW`@ZaX1;C;a1 z6{p%e=BzfGt6ly043U*1I8~dxA^Vx?K04B+a-q~XD2hB)y+hnmAYU-F15eABG93E@ zYHoX_SN2Lh=K>~gAL*QbY6j0c-WTT!feGRA^}8xgI(_Z9R%crACxX?jg_eidrH>4$ zL8png9TZ}@LYjCKPX+rQpudH_p(E)?)Mam~a#PdL(TFPfGYqS0h)+~lh!xgan`^iI zL#b-@#8*!Y5w8gs^^SDUVjpMBH!tjP8Vb%dG<5qZFJJ!PAAHkr3ZtiLLgc_=*zKHB zK+x}s^dGWR6SmN&T%2h4yqGRgF_t}(%-Xsfdw$xluZp&nFEL>i>$5r5kjCsd@5m1&$A#D)EiS6f7@@dkc9 zC^w`~e2@neeBpWxEX73Nk=P8Oeb7{f$Qe&^;-qILW>3lO=qBy{^_=N6Co=_!6db!w z#*9g5UvQQkCRwsc7N~)u*3pPWHPZlFKpfbZu5~r>BX2B$1M zyh+)lD?I7-6kU;!0?dgy(jGAr1PQw@Qq1_VBgCK#r8i>N=Sv2AB1MsWqMw#$XLNuh zv%#zuKl+|Ax6NJb8#wGUTCj*5*(lWV>4T?Q@l>b(8v%l7WHOR^V#Y;M>C_6LXqnk0h`GzKxLH&0mQNx}q$e;t%7IFNzomr|D*d@$I*!Fw|avop)tY&yuEroV1 zsS$Yn!2EQX>vW()=ClmFZP>C#fCC4#LV7R2w*AV`8Cep*T97-vZC8XSsp#{GL+u}a zb1Dw%?NYD{cZ|f^U{;{{7rIrqîJ=oi|eNYS_!C26)gYH&VSZL7g=$-kDt$M?r zf$2eh5+$JqFxp5+Fe{tBAeDXS>Nm;?@<4tO^6>6`B_b)x5;xeG)DLwc~jgw^uc|oUw+1P zzQ0W2`6!{T__A0ujji@2U31%fi&4pW>UwVYV0^n!+CzQxCD$JtryoI?Rq7A&Je!oPYvO2oj>O(zJF@|R+P7H zEkbEwpCRTG_8VU6Kq0av3M<5k89VNSm+>G8jPkXELdLk60-aJwq7aAd1KlwK$G|hS zZ9#&HlOq^>yc>)jGK%v32!~99+y^R-b$-B3!`HFL!U6OJ$5Dh}i2^STrneswiDM#OKGB?5d#9l}QD99lUHI5=!eMu>BI38Au=rVx z64lT$VmEOUYl>AeM1Oux#|Dw93C7l%f^8JlMSUW#exj052`5$XLxQaJai!j@J|YGi zhE0a~TH;TgR=<}?JW1sHfi?K`;{@q&EQcCLeN|mb`>Yz+`Vx_|R`xr4{N}xL34QHn zMmcd}{ae4K?JqK$?(?Grk-_einSZrsS@XMAB`_pBoMl)HrL_C=~JB`q=E8CNYck3 zj>VBudn7OhdWd%V7ShMwXw=!>1p#!JAYcgUxjV{ro*Dqw)s`p7w-7#d2);&l@Ldtd zhKHRF!dt#c5)ix`JNia&U9E7G(;rMCj@CFeqzi1F)Wg|!P}ROEI^n8lRdJCM;JcLpQ-ln&s((cFB$$~I1Yg>x z{da1>*g?FCsjGs{Wv`3n79bf2|l>4eLiZ~3Avap$rQl%T7IvcvPEs+&U&VUmjSg5(nK8o zmoif)F)~+TBSR;Ucn->QwF|Y56uGE!BdQALUy}K$6->o3xFH&3sU!70vX!aLv4D-t z`e_IyEiafRAbr3&3xh%U&73Z=+fiFbSo92gJ-1+_EJK{6QQ2t zt=jVCr!BGXNpZS+`B{Eya*9a$gg)b>Qv-dC9dTW)k%h9v4=`l-BmUxTEk^!NPqu~+ zlSZI@Aq)e;{af z{)wFSrK-yfj*m0rGlyygPW|$SvLq+6bt0-H%oZ!nYhh^7y zSL*DqXSyqE^ghh1k{!i6+X?!DKTK245n;?}d5bXU&zTNdk_pwKp)yRh)t53mT~x>%+}y9P^y;qDXH@ycm|Li#07df(qc|R8!lDt|`K$c#TMLo(_Ht!!QVN&J74leXhyPB#!0gPzWNY+_s^X zk(Y)61I79~NN?y1!4Socb>Z^|vPjG#N{W&w;oa}(1lDKKiu_9A{niJAEi93kB&koR z+zhKU>N7!e5Yle?HrLQ_*rvX6nU}dU)ZRYR=!#`)Q(Kpnm>T+NlFra})7N@_k}322 zWDc1-)NumwR#z82V6p{4dGW(&$#eNe(}F;&gK-c>@f@`_n~t-D1Bh8W*3m`RduhzL z$>GIin7ZqN3_5&{u=QovFgeiqbaAsJbYZ=mzBdt=GJm0#MZAZFsyKPv`HYE(c^||< zW;MS##0nUXH7F)!9{{M|gfDf$^~hfQw9TnF%Juc4Oy zM*EyzCM%v0D?(0T&h2Tr@zrIc1R7DGSe8pLgW~rPCRWVIB5WN5!?fE<7ID`W+pg5` zvanS)LWcCZz+@B%Wt*rK&Q*zH>qHX z#zqbg;<{xIK`X7VcP18*cTNnlRjs;N@$_wZ@L@8D^>Nu(I6RyDw%c{AFww>JRMbKB(>6zcILjS&Nd&su|3RZ$)m*SXfIlWi|mfQmbw-l@G^&i-8Mt! zmX(-Id%265bP!D6nEpc8m#Db$pV{`X=n!U~)E?VR3KQ3pA+zZQdT7QC;>{T#6^X`n zB!Tshe_#Uo`Eb&~e3(V{_fC;?hi=S`Y=4a^w-YY3!m|>8MPq@p5AsvRxP%QaEacx7 z8!MK9D}G>%trZ`Xik>@VSzR#KFX|~50uLOJhYD8ByI=l|U;c-`{C9uxC%^pb_Amdv zU;Ozm{{An2=a>J{d)c3>4*RNo?&>qQ3y(1q7ED@AkmwBjex=$Hy^ryBN40+W>83gs z>_$RB%nEVPt?w4LfXG@Ugo(z~FX- z`U{(4M`tMlDo;PLcT{+=1Vm@uV~yt*hpvUNfaMMjKOATmt( zZ`!~5Pw>xw_N(8+zrXjZKYA}u73@>Pjcd?$xjlF>wcCxJ-muh9!k7AlK_O)%L1rsk zev&Mhzw;-_9YdGb5sz!5u%mxQh*s5LTU z9;=tX&F9#zCayasNYUn^wCINnzBo4+XW}FZf{3v$p`NP8pZ{)wZg||FTQF0)P4}1| zD@ISyqnsctwR*lniy?GLERaYYndfrn)UEf**}r@P)#ylnJXP+xm!BS~ui`J{R;3Wp zG*IgZ3WD7-v%GPNQl&#bLASd)OmmTZ=r7vN=X|ViDvqKutLaJemHqOE8?`T)3DeSk zB8W&SsD6Ab+VI@+8FD55rqav`9k=dKb8KpuTLpFkqP1k1kMDNkz1shclQg7feLqA( zx0YjOb4eamM<_>A z*)RTwU;Mpa{MXzVf9Dr}{}+Gnm%sbo5v4+(MmUbpy;KT<*z*0M1E8w6yquEhpjXd- z@S985p(!%u%=(`?LAp@4k+8+NYOtM5K(`yC^L&4n^d7vGf!gzY=pTMOOJ3%%x#u8< zK2pYhY{hd|Mi&ZP4Gm44H2O*~Ue%`!yi7aCMbRK0m}i5hRK8F-i5UnhsCb~;aA zoEt%xYYEcaBM$mrl6cmffX`jve31b+3cbZW*SyjK zZp5JulD!3R7~`PzmvWbgc0}TfGnqe&3d|PWu!`I;!`?VW1N7#rXqdv8FDJ-6 z>1+}8c$rv27-ipGNS#208X!rO?k}(iy$PnK9;YCr^J6fB3iR%P)Aidzl7)n^nLl zlb9sEUC?`T{T+m%msnB%^5ZQQ=P)*I27TAd#&q`qR59Rz8zt77z&`@T#i$gVjy**5 z)MI!E>m*w*O!WMtIQl~WD0X!I(9qdECcAbtW85@hAih36?#uUIC~?qCuSsQ56`XaOh*y5B0TtTxV%Gs}NJqS?7Pe1=%0=V_V;1N(D(w)Kv z?k{m1Nj6}?RMa8C@4Cj`H}9?g^!xpj`~rd8c&m^hy%zAOHxR*N`zLnd@rP^w zRZQ;039Qx^bnr6YQ}tV9NSQXm5B!D<(B*$(d(6T}yY?1ALT7OKBba6gof8|bqoM~F zbEFZ;QYohPk=kc!oCDmNpYvsnbe4E5z+{Q(i6{380>fS3%O)+4GszYpTfl5O`c&

7F|M55<&og#Y4b6!fpBav>8 z`AMBi95k1#uy<`%JR9QmATl_ijb1HGUaAa{oW_*jl zGGiN&qp$+_7|E@W(V~{uP*Afoem^syTtYK4d!IK=UewRoy3u_&p5+BpQjRd5ZZ%qy ztimJUInSD!k28>l({}AJVYHI&{m*sU*ibM{(%xocqr^B zv~+;ZmJ<=8gh(K%J?u>KaeRKVyA8=8I64Mn*~;H~;hexgcF|40-;zXL>aC|2{hHb3 z|3K|0KQ#~NUA}_me8Psn62(5>ROLZqPi&a3fVmuB9J;0rA8xXYxcXI^S-b2=dozxO z?pp`fEp19BgxC?-aYo`fn{*|S@C-D;KE(hwDQtE*uS*>2N0oS*)zA&is!_P;<~K6 zW9pE7qDX}^ovG7I8NR1?bQcNT|8O_Gor?OH!hcftGKzN_zTCT0_-i!S$t&N*o@^)`-S#i;OEJ_I+R zE*gh~KysSEA_z{g?!ay4Wg`e&afGr^p+n-+@!5_(IX8-8)g?q$;sX&>%1quywqeETbC~?}V>n~mHzK{BxqT0BlK#5>Pg7v4yDFkx=FX$P2WMFY7$ZrP-w(2NYJCLUs zRF7h`b)8Pdd5pwEn^$R%KghOiq2#&#kP*d#DZ$INeP@@Fxx6~tx()jt1sGHN(l89# zsTKdP!)z=4<8*PMna!ERIF}iWR=-+7kU>Y~S)K|Y0-7i)D3mZBN4aLkg z2H}Rwt6kxU$l3;X5>@+8_x#STZDtb9#(&gr{!xtos3w1~;o;90jQru=`bW@#a2%)F zm!RRh^k^&6L`*yN)P8A=wHC=CN(5}N+u{(C)MyMp+tWKUTTv_bBsIb}lHh?qm*!_E zV8SzU^!Fs<=u6s+DAJv^pjt1c89t`^6C&o7&!yQ+F%LZMjh=$I8b0Me{NvZ(+PfeA zF&{#;g$G~jlnpZ;jG9nVf*VoDHbi-;p!`B<9(N`*gl2pU?}o!083v`UP1YQ9qE2}6 z%};O6Q%G}jL#>lf3X{PRE8P&+-i?shY`T#eaTfA1#qKiAO-T{y$GBK_9rMPscFom` z!dj73n>Hmd?9^f0RfR31UtrSmQ@;-8Llr@!+(H!56&d8n#~c}R+WFhcMjM&)?(jt2 z;}n*&aB)58;$~izkUJfJ#ECyzOu=lZmJT83IFb0Nu6p*A9}Z{giN_8*J(`bux5RqB z$HY7M@5#WK>`^zH2n|WxY!gCs_a&(6K^~s?D9Klxp3j`l=*RE>0WC?{WE#5h^ylNb zWV%y6$9H|E#RI=e9`82>pxf8(Y`^=rR!&Uw>H#Z<>hXMFS5L2hQysb4w*7LRZ}iyF z0+lUk^v1P!^u<1HatS9I&qip5?uwOKyMiCn97o)Ain+HADU^pYn{3o&w>4(eV%KEy zDh2s`bbi!3Iyyilq?4X_gZr~HL@&R82}%#WyYy>T|C2_l~?;+rxL!Ltx(p3tmfGCywa8Z;xX85|2oq6sosQ@&F={e=mu) znTS~;7hDi_-Fv!3<2+%GNoUEo(JL~WvTW*w^-wsT-Skv9wS=xC{GkDK=;A zSs`^F!_E;LZ2i8-(;^jfN_Ca3flz zQG1g&7ePr}lZ<2%J&&#|)4A>3XFs24O9wA> z=fR=GEO(U@|Bkt11zE=?#Ox2>+1EYL=Drg|FFM(N{}->{RnEQxu-Pf=iSi6U&79$h~4*7*t%K6-qK^8GjdTY z^^6wH5}pvc?uN0EO(*LMSen(iF+Mlf&gZ!402#)#-{{$F#y&r&KYEBdgoodksT+fo zfx)_X{cfFoIWHcwi}F~o_l5fYFVs;EoiAC{|L=~G|A!bOvuFMw372xuX<)t%|e#z?j9A8hbe_P~| zTL#|?ZTmCZLh8LaP|18H9ZGrb-zac-+GYiaXYrA(XR8yJyNf>#4SWHiyk!d;E4 z4cUpp#bVZ6s)+D+cGfu&5WBzBinj8Aei#t#k5m=Bm`IL6z_*}7dQiIo2^@5za86jV z!#7I2Eg2w{(Qi9jGq)JMQP_aHFnKm~l%?ZG=zy~fT|Q%AxQHo`73*7U*Q(wV;w*b% zCa1RE3r3B6Sn}CuPxAC~qeR-2FCb6z|01RlK6+T9g>98@HuTHsyAiodch*jo@f{Ch zdTg&NUxRTuA}sg%5o0I+V2CM@cD+QguW|B2( z@%bs+I){}c#4*gT%T=B^-ZDg!{=x_C{P--uUNr+5+EX`3e&Bgl^0N;gXs1)D1S~?W ztq7jP_%wrSbvj`t#K%%2TMd7&nG`G^L19@3mD-Iu7c@23L^o}+v_T)}oOY(3mD3dj zy4_v}Owgo2cUb7)IRgtfnJh-SPChV@I$2szCG`+N^_$VGd3w>GKw=~O02=6~C`M9c>N5IU2HklYE@>piHm>6Dl7I!b#g9c zDT&=?biId#-_u=sc3`b5jM^IN6QBNwYGADB=6S`&4M>)&&JXCRq-*_Ayoq0Oy7vmu zM!nN+$J4gLzO5)mTLQVmNEf?MD;s?82v)@eRyH(>Hr*H58HXi-*i>^(E$*oWuHhUC z5tD$^H!rI>9uAEN_`BlE;Fpap32by`yb{MeO~J#UW^2MBq)KcPLhm!wXiCP}(pJaW z^x&K%$S;%F$OCc5+>VK@>y8e(DTo0NI7hw6`iDRH@SzW=W@IONrGq`O3a`UE8Otee z?)kQ@G7CqSsmlz$92jxm+3x6r*Jik_=^>ujL)KK+#cIY}nOIQEk9rE;+Z2e%Jtg70 z1Bqo%!hf3t10kj)Fb+M5xF->GE*z`uNR++-ldDjz#C43RL=VYgppx`d!nYZT>`_db zCK2@{c0d2{L4v@Ko5CKD;CQSVoLL%{GWs+Iu9z#adbTB>PAl=aCgQeuWpub&FI;X+ z$0gZ^7?{j;u|<8)*_Ew$+A}P?G9fx#>a+|x>ukfcBN9;!hDzv2SiTAsnUWLdaYa}N zT+OwyVcENE1Jd(~v~J*t%k+aZst5FZ*TBpf9sdutK3n(YixLOGMscHdX(xvchxGP+ z&Lr|>#lRd%p2UC#Mq1P7eAn2JKG0{TJi}RyN|CdNVy74bjyp(>9=h2S*j~onxNA>) zuqZh;P;qAS&y*P0Ojk?X8ue^!#i05k7{Fzl6IGjo#q=776Md-8Jb_Zh*bQ8)yQ~#& z06ttdSM${1RIGK}NXGc^Ai3_lAc`>3zb%V=H0q{1Lq<@`4HtYF7b`h_>inGgYA@Ef zD^6S}G+%RT%cLospNxc1zc`@wD2*o(a~rm;6Cs@>TMVnyQH@o5=KIV{AmBlY%sN`R@x+kbKZ=jT0ikZFErm>Gq=y!rpih4sbT8TE-u_`iV z^9jQ~r1*q7p|l0YWPoMImkrIOd#>V|%nEPZrpGcTdr|+uxKRa{8xwKv__ib=F0;0V z=P^`WI^80%QvsUda2V+NI^7*Gb8qb;)P7?{?QtvY6^@Hzx1iZ20WaR=QjsbT&a}D& z&(AsY$Cw`Kj9l{-$f9-D@7rkM2$Gkydy=Ul%+-;JA!{=k<24uIMoE`NZgF6yvI?`oRist@uJQ zt=XQFz-WOf8`lFKjUQF3Y)$-#8pq;_PHvpx{^%MVc+t{4oUcnBT*rR!AYL(CR0ciA zQEUCXKkf1};jrR$ub+zMLwX!h z#kpJxszx-d5MwCM@RM;B9^-;=Blu1bji^MUUI-rxdSg^aE}ID#eu(-@rnAxYU0pwR z^j30p+(ob$=uL*fm)Iwo_k!h6od9s{cFV?G$#YLgvYxJRrY6Kn(cu^|1FDwjb`X!KOvbXKQn$xj6nqI0BdV%U@HK@<$4Jsm zIAuVSCgQ%;8OE6+9}+uI#@^Ijv`#b z0`+3*L|q+MC%Z4QTp+}ozK$Cw5DC3eon=>NX~K@c%DFG^C5xrW1!l_QkQT=}9oR(7 zqg7uz^cUEr67Xe8C#JNkbCzTG4eTcY?q7dYnBI9(+63A(g7I}YGt{i_GgC7A@}O@j zxqTdv?34r&NJ&Ma56=qSIMi`CT@`PrqLZ1Ad(EiAfE!-tqBm9izDj7qp!$yM3Jcvv z*i{Jn3bLdf!q;@MNnQ|ofp)Oziif7_5QiHslC^!8();oy6BOKgn=nheY~2?0o`j%g z0_uYQf7a-_6`5}7kiHjek$MQvix!Cgp%{#wr@;5Pp4 zgxf6v{EO@|6Bo-}UK+v0W0V=ROYyU6x8=?$H#6NtRaz;td?psf@?NX+A*1u)uHEhg zyQ?}H0WW3VPyCrHmJXaGhWrN+%7&FF1TGwHaOECFn`FSv(Eyb>1Pf&$ zBKbzVM~^ga>kO77m1HE>hC(rt9YvVz;_ZP5iL364C!Jj$6n{qYSrG<4biRt`R`!S6B19Phe5_59%8xH zZtjlW6-;>0gUDDSeu!kYblNI^Qagg$iAiT=lAY46R#iP-db%t3*}a%_TPi?Gtoqws zqhYKrfpTJ<2%&-<=0Y|pl8v^X~fE=!*qLP_}$9j%s{vLf~NF9X(?6*EYrMR zwU^s{dC5{cB!rxFWm{09mZ`@zdtrpm&91l_{Gd{6oA*T~#)-G6FTQr5B&6QyypUJw z*h;>(H(Lneu7z5qmBgQv;w{_V5;vPkwEVhLg!!kPWwLu{0nq4WJONSa&{ zob(a5h<>1K*(W*YZ#5MgL=7C{42iz9TeZ*M=}-8TBc|o#W2yKuQXUvJI$B%;$4Mu~ zmyW*ApqWS4pLlzJW9z%*=7NeoHzoC{$Qwi6{V~%KnKZ(DP283TM)r=Tf2|e41^6OQ!236;dmVM0-tD(-R^dMb z4iBY<}6S;B~9cv zTdm3sB-KZq$fPFrXxAQd;NrSrOC`>DwJvXupoU3#Dl_{@9vmmjfH?4~GR;Jfl6vUa zFzLEp2(i->*J&W@_u6B>w7x{cYi1W}+d>3gPnu+SxxFjPy=gUkv?(30E55I>(ZK(b zzP*@y*$Zu6HBbGw`UVk@APaH_@BkXe-B7z>n>crvPDr(qj9bdj8~leq{qR9>2<%S0 zDRR)^%B3So`3xnB=@9LE&_k~Rz6us~e%$B0hV!Fb<&!k()`XQm99hk#u`hz)R@r-| zDBRO}I-&;Qg!zIB8EJf46Xz`+znv|ho^2}0(Ph}vLFSmSL)H=*0pw~W>#lO z_y$wU1WmfckUR&*jn$Ei%3eI1fK;NXLHt6`cGD`Z5Y+kTq?g;SZEbKe?o-NvU-o0r(vG3yho^nbr8`SV!sgh_8q?&HV zXOIga&-w~4g#<8fXfM&s$W@}d?poT*ilKPhJx8Z2qFWE}i=`MZv(8s5K8)}C>;TxcX%7x&fU0qd)6L{g5|;G9gnPnetvY)%?Aypi`D&PcWs>hG~O2D?#5#w>}tZ zM6@w$4Y8Y{lH7B8VwrMJuaZFi?@9u_P>*P{6H5+(D>sux(ly{2Mrz1dI2x+#SssHo zToc}XA2M(LGmFO3p(Nr+Mh=9x>4=!m4BeM(B|&jq(}}FI$T66*cAcFe zm{!*YLF3tB@xe;x8Yu+0@yafFYO8gd;j)M$D7=g(?4Nx{cDrNQ5VHrT9j=UoS$~da zMXXZ2(yyrM%i0(_P=z^7o)qN2oXG-;lDLu#cGE~ywnbSJ1oBYpy)+2EA6IesFD+_sTmP9v)V#P!N8|Gy;Po^|u zil+w-;%7ebpQ`NC{{cw`LKo4qxKOBy9kqdij;4&^(&Pw&pw<;M<9kc=|6SWqVB@kq z<(hs20UZa`2_2|yNmyvOn`)Zo5mJlY+GPNpg)AyjejTwccdN?QDGFw;ISkVOsj}k<7L=uKJ+? z?f7BvkH=ja%!-iNo+r(@i?^B+SxqM73DVq-gEwkQn&*<3j@|Gv2JSda#l&mtNP`+z zJ7;$^J{cv0F**IoH#RmlmrcjBAHBsh}1oswp9=Z#?onBkmU|l10R1xdTHm{25 zGQv?(?u)Yw(%DJSM%Q5U`7tu?8`>v%+#pz3$?_XF)qnU6KAFzPo9l}wIXx!O*#FIE zg#zo%;HB4&j%u!TShE(fOzgKfZ$mqxm%9bA@sQ;F*_9qag&37Qjj^V&9n181G zFecC{Mkc$M%b)R&7UtrkO=vgn+b))faLJ}fytJ6HSAA07woJFye;!(uKE9F7%L^x4xB7*I$)@R7TBFLg&ABOw4OBa-uFEu6 zv{T5M<*Q6>tu$(wJYJpcLtAGI48e(vJ<@qoWk zV-m)pf`DY42->Qf=0!wavGz}jmtVs)J!hvcrg=`Sj`3P-)Q!eTYG-4Q7FdGxL5DI| z3TTqyVW*y%j_8enKd3#Q@%Bb~&{690av<>wlaV)l9jeT@ey<+cG<`F1!E9KvsFQ0`za8Ta2CMk`PQ#NE#G#F^7vZA|-okX6Unp!K|BRY{o%?KUTN$FE|AfL1H5z9k!teXx6eqzAwa?GjTzOXNIrU4vX&Bs)r7dN$EG;qOCLxJV z-s$Mi?9>w{MM`~LWn89HIQ}iZq(dyfFkjbM9Ho6dm-Qf@EBPDi=}1r<{iiS=fC3a1imob6^RnYF z4!ee;MA#$Z8flq|8dt&YJ|rudbzU>vq;Yf|o`wQXS893i zjv^CN`r_`}^RzljqQP{xX9hLb4g8Q8Xj7gWb9`X~&`&qx?_s6Mu!%53VDyb9e>3cbJaIlE4U6{MVY zTjGFnV@mI#6NXM4EMiQtkFoF;%S8}F<1eTimy$^*W6}_Y!v7XheJGGkj^{aknD}nI zpa*#DFVMhHt8Oc{vdNrCV5S_OS;{?{&m(RLEJZi6AWtY$%=1MDahMY$^cJzVU`lT< z48v&QMHaPw9$&A&J(>!krt8v>7sjqn2e&8+meG=>t3%Fb@4ly^WjKK(9QNEeW(r#u zUG}L!v=uJRi=y9A*GWl>ozPC)Q}+VT^{^KW@}>Rge01;)6GG5aH(8>UM3Nmu*sh@! z{}d+7BRn4wKTtm z!>^J2s=jk8*%@?%@ef8DS6bo9}-(fB+4pVKegqPoPS68_Uz zHdC7Bhf0T9qmMM)O#fv^OFo!X>l!uxX;2tLUkVNXBac0S$$zUU?Ff}^T*u%Mu-jgicn9i!Vq9QpmjtQTpJ`+d!%IyYv@8s+Hu(rzl$g%T@eE3+*o)+6&l|Nr zxAm?y#F$x25%!lkCmRB_Nz3B~m|J8=FUCt&Jm;$Kg}%n8tYCeK*SKI!r?i*NY76xP z=T(M{-P-DoStj*~2>vFega}=fDa8io=%-JYVKa@q%2TgkJYsdInM`@hfE#hSAyvHXQQls^)QeD|Fwv_hv(v)9quilOt6 zVhWk5%oor6h&n|yZ;uHij_8;eBZa|8vl|C%#ax30fc} zKWf*9(6# z{H)8BrOUaxTu7_#RYC1DCV8j2f)U@g`|8CpmC zaf);rI4RBK07G_PE2T&j=UTVY>s`G?}~eiO^U@u15O>Y zbkCIM)5_ofMON=$e`BxO_4oheseGpOVTXfTirr(s$22{hMUcjrHfn}Szbmn|_DqOl zo~`UVDDAtNc;5`y5EXli!{&&!KdlPBl_ZR~QIV1x)XTyM5$~5&$24TY4RIh(i zv^<*0=axBZj*RHIx9@ZbzIQT4n)zqxP*}D__QhN?zwN?dn-VOX(%AN#I|jqIR*Wn8 z2>p>J3K}=j2@d$ThbIm>YrBqyby>IA$4yt0xK#zy+tLNil%{&%FAZA5fr;`M*)n65 z2iKvN4KjKj>iK1c3qn&L86?z5-a?L%@#cCe_vi+nhI&^o43qix-uiP0j17^5%K?>E zA3NAsBV5`cWK&>hA+NPXp-lx{lC+Yks|lnjmRM@_II$Kw8d#sWv}TMDf~B_3m4_{e zac1m-?mBH7UTAWxExOviHk7KviAuJPWTT^WlWB`Q1AiiaUMnDPSc1}=YmySKaT3?7 zim8=Q zQ`1k|Svs4xK$pxwblG3!9X;mVJ}VzfqL2d!+Epp$58c>H$)|KPHlsG(APBrUk%VwC zykK-)IsEkSKz+VqkvLa;GOdT{(PMHDbD&1km)ZgJ^ZAs!JUy5gy%s|e zxLz_JPuDZ)al3@I$L(-5*Sl<^A5E~~an`RDk!2Ra)rw>0$F@4ky(=|O1wBjXaanEY z?&P|J)R?y&FtlZ@F}J0+o>S1;bmGITA9)aQb=J$Fp-@1M>0x$|DOAOZc55ASk$uXB zVOlKdYBwF^f4{S8jdF2l^k>N6ZP9=NCSEIC+VA$MHAxf(-`?8kQaWi@R(7w(EHfwe zLF-w%ZYsb^Cg^NN0v8wdIuoa6#g^z_9*+^-7&E5+XgXxY&=H91k#%3|Z=a{R=9R^_ z_fEEonjJmntEOk|N0A|GS3Lc_4<F|(W!o|%@U;((e6$*dugin>&YFqfJ>1~6HOxTLdp$_HQB(F9$MzM$g#DSA|| zn-4zUHD?ViW>#HUZK;ZCCl|M$%-|0&Fu~`S(wt|;2>QD2twEg^@8>c6x}gb%dSA_A z-@WjQSzPGiUpfnkRH-3~^xnK~l4z+k5!W;=;3neErY&NL-x(Fa2nbfWtO zYU7MMoi{Lh;j{IMnPnkd5%Y3hP6>?FUNsk}lJE7FHuMg7a!kB#*R|M5pT^@qco)4Cq>?el=?K_tdt@pYu!r45A-n|gUAHic74_~>D z?ouRhkhJfT$Iu_XTRbkpduzh#gnZXp^5{qR-B%0Uvi<|qy@5LaM8QTg&7$7&-kSD) z%JP{0r>+AGXT0x5NT?)38_P!z&94l-JO43s>9UO>opyiB?1b*8fii<8N8E#@pf9|5 z48&XD#xzZbb}|w(re`gUnhxcIexxGSwx;txowL~(PlsdHg;^_~hIUXnxwj@OYq}a{ zlQ$da$>7Ymcbah<&L>N6h!r$tTKXB?0x5o9KIM$9&3M}5uSVJViUpkN+}7=$KIPjM zJJM-XE!K0h_3HKF>+=}4mer7*6k3Uh?WD|9c|$$0n+th)VQ@uQES z)a2P;AM-zBcizaP-QbaFo+f2Tee{7RBWyatiDiYZ!Q?Smu)$$OW?i^y3iGPRO8Vvc zqfWbzVKV%Q6%>uWl(N=*yr&~{)s1;mpUed58j}Ky?H&K^bDvmdKBq%}H8`^#%-Z-g z9z25eb>Am!(z;qJlbM~3`*d*T+|Sw>H4Ij;$1FW<)8#Uq%h`a>2V~0ooIdu?pN>)l ztCJW~_?Rlch~sznz=8u~)i(N#g$9-7I+#&uF~i+m(@XXn#!1OTl77g7%*n97 ztn48i`NAWnXcGjUfZo_vt;7FL1g*>KvdD4bhZ4&{90C#S>}TBGkPG*GRc6YCvoYaY z|8{2p(?j;29c=nyL1UNiFs9o?`|E(j0AiZPmeRq8F8(%;BPIwEAMDzronr#uz1%zHd`BN`pKX$lD5EiHPCY0nhodx6n_S0}`dFpu5q5#CGLv~gD57^QiB^t132WQjc~N?4d5XC7-J39)YbC(S=1l*^WI?;M#;k0%R3sd zAxA64hp2ugr1=1$==<){)6iMb01IjAXzUgui9yZbPVvox2_vjwjZHS7LavGyN`*Ri zZ|%G6i2Jt(k_;C~Vj$JJI^n2}KgCe&_M{gOComk>iufp25*S`X*_b8Zn{it%qJ^%p z9H1n-8i{bmytYiCIc#G$K(E~i5@)P6l&+O+z7inb9w9WONb){ZvIde1PoJ7N$ z`AyNUs&4c>yM{)eReXG~h&Q2_eSrY`e!y^gtmufhPZaU5Ut)f7Nu+BV$9PsTMFxry z9V&F_m+eI2dy8Vc8HCuOtx{enlVV|@skxp-2;gUhd){u>Qi{{;ENL{3LVA0n)DkND z4u?Y8(vKq*Xa&MMGBOYY87@iimo^`3(zO`+H{x=HyVH~m*e<ee1uJ3|GHY2D|KCt?JgXi(yq+K3K#NIdATkXa*RVh zsrK=dHk}(adp=7s--;9X9B3YW_=8c4uiq6|BT|YGo{o%l80%pU_;iZfn=x|vvqYWl z+N^kEDA0`vYb6RCIxJbP z%m=|i&d~j&nCDRT^JG=U92YOLf}el*a4Zc3j?Sr~vl21QN<$$1^NkEEr>b1HTK`R% zlLf1TNmm$xduOtQF#O|`7iD8yMpA(`by9KQ)1sEnD?A|6bWygBw~Q9VlYR)7^z?aH zOlfqHPtOt{Z~wx6kEk1URQ*qphl%zdTs~#W`TRsg9~1phGU4&jfy7S#n>xdRJ|g4! z6EZ%@gcgCl+wG2#eHaA|Y*?OjLS}kYrPLA!BK~4R1at8a#n`fZVw2nixjN3-5g1J< zFozxsXgMK*d4EV2*w7HCb9zKUV%)Z8Nw6c(mx@`Fl>MwO-?rJMr{cL2G7-qcE_S;_ zHDb-SdE-br5j)%Fg*YiqhNhaC3xhZ0 zaH&7U36HuyQRHaGj$#r{%R(}XjfhNp##QVtc>ZPSj)|Z~dr5LlW`zFA*F+EQbkFwT)iHj zHXK4M(0_bI=a~)NlGa`Nup-Y^@`ySa;ZA6s(Bpz$xRysKRKAfj9TE|ORdL$cyX=q& zmdShpbt2iA6a$GKmY#(R0D?=U1T}rW#b@(H-8-BR;aXlStpAb^D^*FHFGf<7oS9S% zd=fK>YhZV|cM2Dqj_*Qut8U-%$Cjb**VZ8|GIf>^sz-VR-FFO_BpYCQ&7bfeOzV$N4MRJhd& z1*|!1(TFvi@V8mZq}IU9l+ERhTD7jyW1~Tw=uAP_#<$AboAqw3+ZjrJjyZ|$&Qqy2 zE;?Z_@ucQ1os9;afe7k_^I$gclXl%v?NbTyV^x-WoKFi~aa?j>9c}*IKl<>2t}cy8 zGxo1+0n;AREJD$dPikV;qy!*w7`KK^I5vb4Dx!>&Pve=i;wt(^FOs$LEd@i4Hi5c71BUA<7v=sP#OSt;@JsV;6 z4#v#~2`y=vdM3n_2`qo2?{wMN9Rk%3hmU3IdhX)_0;{1-V_QdC<2Ww7M@Y(FOWW^g zyVUwMZ7&&U2by;H2$A;dXd5(Po4F)v%MkiE*$Wyz%m@WTOQ9~X2p)r*-58VO+u^P{ zL!@OZ72WZzSfjVQ7zUEj#X8GvFqh`EOGiKGO=XG|@o^1tLfT#z&!JqMgwH!C#J_gHvw&Q_*^caRel0N!8 zY5Km9$#ACSlu`Pt778c7#s7u`#`Qyz%#M2+w!r#Gp&_PfzBED)Rvn0_c1ZN*7 z1Tj^rjL4|@+QQ|Z+turTlJEDgeG*+ixW8y)$bPhNc zu@b=5A**l;GI)h*UGl&%-~i=|{FDjegc?(&1prbO{VeNjr6dQL{mjgdg#@J7I+X3B zJ*g8ygQ7WPX+344Dy?)Bw?uy#vX6`SA&O|au%79`uko~tyuDoVcSvJz`wtNV#a&Be zwH>6h4PDh&hZnn6EujRulEH)LLFMd`AKRkgjus!r72WMW(s4x58Q4_u77t4rOf8Vz z?{O%W&q^S9j?TQK`{2ejNLWOvAZQ?4eur`Zohx*f7Q^yH`eNSJTw2F|UY5+ynilJeQ54Ap|vStQiOT{(LzLxQZ0(mEFdm$6H5f*9VM3!0$24~$id2!7%))^5%)_hKZ7~Um> zk(DR@pErhD9Qknt@I03g#vx#&|4k>E8wZYbznO2eOM6g8WJ!4;TvpiT$y)qc<*3WNHzwjiH*%QFD~u^<*7l1!@#PkeH7$7c);0sm(a0b zOf0hRmhnB`!L*4+(~0JExRPkp#nykoae21{YdiHKcOS+?e+D{C$A?9w)|!y#&j~Rl zc%9OVhldn8vbcAMlzt>qOz^O@@A#nkA`gLv8`78(*=AWG(VzYUbi=y@gCUs|k6QsQ zOh}l6x0hU$xzZp{z8B7!$(u`6o;lnL`;M+3+~iz`ZYUqQ^Z=oQ8DBj2ld<-$xcXOq zCX!+U>0Dx1wOcxtkmRuGlXZ_js0m4L^)@s5u0j=r(snvA8)IANMPBk#TE=%6-;xk(?YXbj{{0<#3hH;Ld7v-5hF%YMINVM2jvpg1x!3MO=|640lD zqTGy)#Q?JX78m<7A+~U1Fj7{>eDZ;2u*HxND33qzI#MT6$i&{UX&G$Is`BJ34MO_9 z(Y{oAI?+fe+CNsZ%)P& zJsOR7-xl+_FzKfZO>^e!gM{f$2G(^(4Nj{_k_|#7F*#$GY{>N_m$c#fc16+j4~!dM zlh^5Jzgeq`H^!Z^Vg`Ze?TTh#{)P5ikl+d$z`oURLw7ugDaO%V2?C9Iil2bKSOisM zXyB^FDE@+RtY*F7tXRv@hMP`Dn-UJq)*nl?wJPL&usa67po%H6f{eG#`lPKI1x4au z(u#2gOyVn06Yo=G1qqzOrEp$TnOh4C1WZdVmn?cn8DoNrcX!~sF0ffG2_zI(Iye~ufIF{#7(AxEwVA;d*D_uU@1ByFb5O06VQ z@1Q8pDhys5Lvid=TWl7NHl-Ek?n|O}Wi%uy$;#`=b{LMm=t3BzE{*NZONiTtpG9-{oUPx+OH~xxx z;&y^+F|Uv>uO_3S3gI;2F4m{!&>cqLpNH-&7r1eHHB5p9G%~@rEz`8*0>~mBF+&v> zV`NUen-zLqu;?MZS@N*%eo+;JSzs}79nP-qsJvMxuPa6Cq~Yt&f6`?X7KyDxB9KtT zN#LGmkCGgq|4fs4WNHKg4HNcM9{cq(d^c>Ct0#dq2!DoEU9~$#d38ZEx|VhnXtRxy zpcWSQ49jOGzW2st%DQ0KBb}eHXqQrTIc+u`E8(oOV^$0anClwWo-f+jq_2lP+u076 z{qggS-R{jJzV6-Ie2&ImlUTq0j*nr-sDLbq z(NLRBl@9Lia+$Ei+y7ZL#$dZs&dckmcbz?W5zG_0qbz9}uF44qj~cGxnYC=VeZ zB-|VR^R3G+lcJ6+d`z0VWOrTtd&CFg1sysp0X(8-`nD{HoJ(*CB3v-%7d-`h2Nf|& z3B+iod|8Vi9iY`P5V!zoodkJ|hAyL_El?_t5_`mS3zA$i(Erh!fp7eL+KECLM@^B1 zh!{pVepV99Fq!~3;J&qK*&RVRAUuNWfrgi8di;suj3bOrAt}{}&=ELE03vqYuC!xzW$RS4zWPik&bVryga^@FgTB65=SJ>60w6} zUi$2hI)2K#FJCt#TH%W^@J12qvnH7pd9l)LZ@gLJv@WnMUZpD-aTq^H5BqXYis zpOK6l8Y1W5%_YMqLDwd58(W|9qi%#Xbs10hLJv)Zt`ZLh%a8mo9n2z@5^e}G>Vr}F zR{F31&u>GzphU6tZLU{8t47j$mtV5=kSk?J$e^RM)ZGsGi_C$1kKHD$fqPbq*(m?@ z#HS+RFwthxl7Rj`q~`&KG16Q>Pe1P3oXzobclei+5bAXb>LluuF1`sh_r%}BURz}i zJt;ts{}1?otoJ2dys*q6Vz;zsV0-dkpa0S=WJ&zeb9-dh`Y*6oOxpn=Z?8bKby8-^yCbNYQAxMV)k2I|W3Y6>eQWNch^z0z_cBWJ+G* z-zZ}IM0M6aP(qPYR@=!UaQ$1YKnizGsXY)FzOLH?#B*9JF}JJoMatr0v!QM?8gjXu z(egTe0&Fr9yQ=+Ivr{gZpCwLj6vDA~5^x(&2W1Xq2n1#d?NS>@+;Z_&5po0N;f+$a znNPvHF9CS*n0GT+9f#=}lkYEx4|r8{MaXYHHWFQm2CDZ9OS9&CMn)!M9(&f-PL-~0 z*L4{ri(PwN#6ua+6k_6edNdIO(1^h|IuJ);=s&z)jJ)Y`f%V@*kfG;+&SOMyOi9~! zU@oNmllJ1_{feD>V!<>rNl_iG=IgPl!p~Wp^qB+y;AGEw6k^INKz?$ zTrlhug;x;gOKh-4gU#n+Fej{oDm2YEi}FRi&OSkWfRcJFZDEutoJgKu5?2DBNa1qD z9LLNQOFwoN4EcKT(b*7je5Wp%E_Y~g5~;zn0c(-B+%GltA*t5b#1j>)g@C1I_7C(Ym6AR5|tih=I;*JEwJ z{!<&0Q+n=ry#M159|WP)S)uXa0YX1JFb}l7Qs*MCiS$5Vd)r+kvAtOc+7$E0xeozO z<0WLJPZ&+L-R6^$Rc-6CzqA(*KGvD9siG6iY)D)1PTA+nhK6%j7jz$Dp1QO_zy9WE zf5KXSi)Qc;;12Pm^<&oV^GbrVv9~Yy!`{}Pgs#YTEWdmRAqNCj=LNCL(hi$0T}ipB z(j}9J2vSF4ZOUVv+s8Z;v-xeR$-~kM`7m+D*QLEzTY=ttv%H%;giOCB$xE_=nUkyh zl9#u}_?I{XAKXyhOP(N@x^28MgkJpMiI_*zbk4D{cXVF7IqCl5!Nb%7>u|{GFzgEGA&I>s?Ufx`KzW1=eO^tpM@&C|np(lvR z}f7$QDv@wqg|h3Y|AqYCs8+1uTP&i?j(w`T5BSX0N!HwlMZ6R> z_`wV9XNt1+i*q_{Rph$Px30-O;}Cm%LLJNhAsADqf5yrQ2!BNKCX3q_l3zl|9h3LS zeBfQv@7Z5GgkRM{g5z=Af`2tU@oad$hB}mAZ$dt}BJciQ^dSdZ{|lCvyzl)2VhltM zdH<=I!Q)sun?iv3>wHT`$Lip$+FbG-)%%=TF)SkN(W9=zCJ;*fhcv4QDrIU5Aa?zd z*?tEC_ypC+-k0sUY!7SEsQ2=c%jf%gN1wdyv90a@hrPG?k!8v9gl>IwPvb~PY?+OZ zT({m$>b@xd{V|M$U!>(kzCVO(U^@ML%`TK!KV;8q^F! zZJ6vvV*UYy5JCeIV#%5n=XZ{oxqC!p=6%z{f>Enp<;{#RJN9jM?ASTKU&9`I?x(uk zy0EW2xB~I$*5z48QQ#|%-Fk3@9BbXG?NyzoUwH6X%ySDJstqk|Dd*y^+!Ijc4yzSo ziC(y0I*&Q?RK2HGpYWvJteB{EQU+L08bG*sL#ODtjq|Ipx+RFT!2!1~OQ2Gf{j<9w zmAW}d8SwGuKN$)B0)T;zolLQY9WI0RfnK?F-CWih#*;3PfS#pN0{RJyHQLm@+rQ?d zhKJ^`Mtl|eG2|{r_-ON8+ki(?_wR$0FV;`cj>FNTb-%dh^{S&R`=(RT-iSjB+^)XxAP~Mx2ax>e z?Zy`u+G3v=^CI*Yv?&5L5X5h^3-c{doYvra$Y#Ecy1Wkzv2 ziSgz(EhI68#GE1Z8qx@W_X}^X6JGgK*SI$p2pogQ%&xM@yPY~85j1dSE(~_F(>3zv zH8MFE+F_+m@KSg^b;hYPgG{uhOT{#GI!_Hl=YsaduL`e{u8>E)m7(Aa0i9nOx~e3Sfq#3n|~Qgi}ixr7>u7S#oC6 zC4ufv^8tQy)}*%{HBGmM&&?CWs02DuyhwHWj0?`t=5P^x{< z6-AQ-9od4G%1iPhpyflesNg1L_K!6W*W)FZ$J z(4_&7_q3Hgm&}J$!OehnKor}#w4O>YF4AOD!1w&Dr)5tp!|syK`8`9xvU2K2qd%9c zgIzV;_YRTqh({)!h*{N2cBPsZ65B#<#1wcB&Wrn{3wa)?N^sv`%NKYt%8Mx}%;WI2 zl2)o}j~!j!Dw@UA5X24BZMVCuk0hWwRc+OqM5I2V1spx7+Ypo1{fcCosnl{XS*@UL zatmm;z8Qnn4o)Y>ElhU`XpXe+yxucsa2g-Ca5NCO_kz*OGp3d7_`rq7#Hv|WwSYvr zOo~ShWTGikbB<4$mht6Z($jAOcWV?WLtP?iL0Cf<%IDGn182s>gRTWx_}-mDvIE(Z zy05NCV>!ag+^pTraO_GjA|Y5jOX*rlU5;PDD+-ZxE7VbVlAjd7XVTo^{03~dRzoU( z3VeiT=PUrgJ?xyv62gEkIhtsQdY~UxxN^KL46)u>Cc=W5u-sch5e0rNX)qS8EGL$!Av2K-Ci%aPMYqdHC8i6v}udx^!Csh z%+)RkR4At4Vu}Y+VNePv^RK~m>**JN}xyNF1kJ&}3(={TDtjd`zMD&q*#g54!E}1kbOpPS!I3o%BUei+d z9d*O%W~iWk-cC7GEcflIf>Hwr0ynh6__o$9;UmwoG*hN#G6$&yF3>Km)wbFWxJW`~ zn%TJ%hejyiFc>b;oopMLHJWyk!{Oozz8yC*m+6<7?t+9M@#uO5lgTyZX|Zr_|Xv{8($il0=_gJGHF#Yl=-ZK!?7BGI5JxXRrsuiy;)vo zj)Cne4KT@66I_*az9eKXIf0UEy4#s+Ys zC37_-w*6200DDQ;V_y4A%-hUsWO{PSwlr*AAuzCv4!RnK9S6rR^pR?{Yd~dowN4V> zhzUaPv{iFZT%Jf*D=qQIeFTfd)*~orHdkXmAj)gC8%T@mZ+5czVHVp;gfOvfx0J>G zg?qT*$hfy`$L-o^K)KPL!l|r*A&ED%;mD?TP}ENhs6KD!m3X6IwN1&EW|ROTKB;F{ zo?y;aIJN|zhsl}EBCxDTGL{YPcXV}H4gJ-E;(knJTL7x%D7>&f$RfjRc}!s?7HXd<7rvtu0BCfaad*40vcdz45UA%%_-@r<7Ac5lpZeY7l9yJW~n+6Y+e zFBvn-=Mh+!E1V6g?%`mBi>{O~+wH8XdNml~O{bB>|KO(|KG@r$S}wiv_`k2kzPi{*H)<17~07F}K93>@W4U9`KS1Ah!$HoO;!juYb)ioaLrsa*d1k zOS+C7pzh3zSe?26uKG)LXfAYd!}h+L7vWa#CisSenx2km07F2$znWzI4ks0OfjW_T z0VmZPU(IEY=|0oA4S15O`BzfeX~UtesMgNv(l=dGdmwpNw2K_+;OmCf3g%EwG3`K_ zd1DD~)5;|Yhh=%7djE3r_e5}gB^VWD$@PVW)>lIBR%76R5Y?%NSuxz6yBWp`v|FhF z7p8x?U!-n@`OEpkpS{nV0sF|t{guRtY9b8-v1Z`cggn$>w@V2MW#S@Eb zMzH1ZSVKJ#d8XgtW1}g-C8r7yn@dN^sja@wd|6|gDN4OeG8H#n7A+D}XnE@3RZTW?*v5T{&!zi0-Iq<9y{5j?*fC!anAQftTdh4b8})2Dc+%35R~;^+bW`7+^pRmQDmsST z!)Z3Up+=RB>DP>#`(H{(-KsR)isnI1EQ>u;w>rJpx3=P$Fn@7pJiZ7?IyPDX=5oAD zjNdYlKEldtJVd@CBo+o!^<06;>^e~aq&Xz&zy-*mftbThr{Al`1h9ee41ZNbt%URR zxqQ8p6>wC$N?wBRrz#9~R}bRS>l$ak#tS&r(9%^4zMwF~zM5>Ny5CRro1eUbMR^A3 zR;$i1MNz{~z2HycUpml9B|hoB)WOjUCP7x6wLPEK0r@>65Ihe&>6a#!I z0)Aaxg1vFYj8<&yp_Jg?01bT1iNW^gq!V&G#+~XkY9_?S06E0;hU-{H_s(<2L7#Lx z=VTxn3nD5tB}FVmuENQ^rRo9b3aE#5v(*XNw=6=Un7x(?rvSUvZVgQy(d`^6n+tX` zxEQHde5Nk*o&SNxNplEUJ&a}~%_&mFK!3%SxeD*RsL-Xw_Kr^PPf=;Tod5g|%*)r0k~Fd%BxPFCmdB~XTOJ8Jlv^~YRdD6k6Kqls z-Hzk$efU6gbA@Nx>*qSUU~TwprS8Uaoxx}C;N*{@Ho!8_WU|wb9C_dCrto_lL9%Rc z@3;)x26V-wik*Aqg6`XWqQihx69i1Kxm2~C;v*RyQLf;CSGoFI8f7@ro~g}^(+*q| zDQcw9j$S>n6d8FSo7N z&wv2OYSy~%Ey2(JDTXI~P3LDzRjKaJDP zg63Ioso}=Nh)x1i$BFrh+w!TKVN;FCIO2iSLWliNnZcD>4(#)60=AVobcsF!6qZ!N z8#$ANfkX8{>^!ySnRhRPRW(UfIJC7Nss3C$t{E>@BQFNx0apC4TnmMjo3N?29N-Lh z#KEqX&`wOY34j;QJh}|vELp27>Cll&Lf;dzIQcXBWJQ zcmiHX9ov7k0~{A#Q`O9L1EZ}+i$JtTJnCNe0Nvee!C_#=76_#C)<=bBmbI341L!A<QpDR4Y3XpPiShCBt?oNxuty`7V*~uqRhED}RuCdd|kYFknW2 zlr}^9>OViwz7b?n8Uj>2sK4y((Q&nqDP!1MQa^HUQx6BACDLLHVzHPNz|q4?nDg&A z@Zh#cC!Qd~SQa833LvH=cA_L58^|N#HaTG?Vw^ic)YIm(uhkQ(d9Jn`6vEdMHWc%r z0IL@SJw7h2lU@)kAjd__))IAH+ofiBCrPVijqhm zsc_`q?Swez7_7HNrdTDNTC?*iW{?K}fs<5n*@7(M;<7DBe=WWGy1)!B20I){v+=*_ z&J+!n?zF;2-%t&U1R{(Zs}-7@2vp6L%rK2;j`CEBU#(z%$3ACfew0YVaaE-Iz!otC zK4ZA}ZwoDOOsrWXj9hwh#&;)Dngpqy@UIKRaFQUF!{kCBNn)0T)wpzm0!TF3JCcIy zbQvNC?tg-HUNV)~BA@VdD&(%gk1&Fz7WWru;z*NYeuO`XFc4QY&c5+!epdvdqZ z%u5vJw=+GDJinO9ysb2>sBK;TdVu3bTkCFM>fme~_8xGP0;xtTxH-`o4a4&Qp)OliUBw0p;I0`dDssy8&>_l>d&vV6u_g#@pdJ zoelj9`*7M}N&y>{y(2ojvjxifVt%fhO(BmmvnjkGHG1ugW{Ng{Tw*ZFHfJ1&U=Ir3 z5gXrM1F_aruBw{l1rwf;%=~qk$ty>Hn9HUp$_iBGGwvLZ4IXL6KF$Nc7rtFYdjG8E zQH=CdgTxXKf9!#@YzF|?<{6zgGTn;T#b@^w4cp&$bRy>6i)M2Fi=W;`L0p+tVRAP* z=N-eUV+b2kV=kFI1blYaD;Tb3FKukJSRbmMHZ3~RyW!Y8d2)x}sqGdN0&TNg(nV>H zpolGF=%v<*7dVWa8XG$aDN;;i5Br!l!_iNM(9{>LN1BodC8pb+3rBQu=+$BqZ466C zoF#XrhCg4F%2H!7D(?5fBpjl#~-Rc`x^)kMbL9|qKlm3;B)}QH?3OTX~Rf-Ayi3p zlp4?F&#v`Zo|JXd9QqKaNe6)3cJJ4L$1vFe$K+f$2R$lx z3aW%<#@J4u5VmGCQ5Qx64Db0;kA|Vdy2S5&(HQ9SPdj<-U>#2p(&A+kx|f z?rP!`x^5rbBwgemU9}WT0`M%p0z}8+aXCEeE0i7uyIk57+*}v3?%p2?bW5md*kaJ5MK59G@ou|gf1_sW;?u#p6#Hg zvtAD($-Hzgye0m{J6$)lR_BXpsPuq-0Hx6__oi>+1VO!HZ8GtjujODKw!0;WpC8++ z{(rwJFw&T+>|l^zVmCMApL}#Rbu=ppdIH4Ln&ciMeeJQTzjg2hc1O9*7MT1z_P&gQ zas`@RugJJSMD4%*lMf%xxKhFy^r`A5@qV-!v+E|cV6Ck!uy{MWQaxQHkGHQ5%f{`f zy>w`*0tA4qL+0>H7(4$P^)DXL5&l4%vN|+_ zxXN%`CM}!tD-H*6{L(5Z*A5=dX@zc%0IDy6A_RX6z*dyNvA-~_^92zR@R#Ftvr&NT z93(Yp4cJ?$ou`I}p0KSg0a(%^@)VZJEw!dObQ*NyI#<-L9a7Ec80$!%KY3u%6dRgO z1W&?#=kSQKBXKL-gQicOfB?0b3Z>Dc41IG^93NY+ny(C9)6oubf>t!ELWoyzhjmB1 z)NF@}u4;{@ZkwbF*uzcqre!6paQsp;N#lEP6hs(P1=cGKixQ>zOn zb_*GgAX@k@3Qo<#L}K9;B=B$k1duyNn95g;TJ0FVu+s$S-f7hXuaSX?ndpsFu5Ht- zL8BK5fpH+P$g!YHCPMf}>e=PM)a=ZP%=Vo)Nsxjy4m{Aad3*(cK5)*<^^&QB(lBC# zM@g7McXtoNffV4xi~X_4v|uF2Owtu1a8HfC*t+SGb4Hb9KI^>>Y{SY%X`BFV;BfHg z3zMH(4Yp@Wl+4TIe!^+b)dmPY^yl?3EJZKu5iaTt+-;U!$G-tIwy61 zs4H5{*!6l+E%y)JQBhrYZUx6hMG69GGBiGt@kGiT)y&%?@1yc|CAeUORgw}_Zig$h zlElk~0fHKM1JmZ&0vEjB0mL0!=o2U2T@?W=AP_7uj4K@gzWWKE(%f8&Q%rqek`a=# z2T}}JOSQ-5n)Z{fq(H!$$0u8^;E63x2M`xC*B!B+B^v-9tBtQ+5g!nWd(YT~}M>EqC-C`YzI)hUWp4 z4_`@jxT(&+PqPU~pp2t+0DvFOsmALsCpz%p#=il%5)DIh9{=8y%)`*GN~b%+Q@&ol z{ARWHUjDS*wwJziD>&f6yKL1nt=pP$WNBhC(`rNeSLv*eG?IK5UaA4!p0q`+cKur! zH<;2o-LYl~zkY(oP+yMQC6KS`^&VcFZ^+O|zqg6kdlm$`qpiXP0VJjDkS(n>x!3!> z8x|a5;!{nIYSVH?K3wrK^YRa{gFarsGIB3-p!0T3X%p(gX^zr1;Vt(7aXMUA|IAM3 zQvKx~DRefx8n<9(DBI1;Kd85*yBtf_xoCk`-3q$S+S{4No?m{~_Rlmo9&6;O8+A14 z#q2NN%sPp#Hs0gQKP0^dK60dDJih#0fit|#PTfN}07<%P%GtEIO)InEKl~Z=G`c6U zed7AnYkb{uf(i3v#*R&SYNNZ{M>vtPkJtAIGtG*E{ca~P{ISVHH_sK8H!W(qR&KEa z*Df1HqX<5)LF`0Rs_DRF9Ahe(^avTx`oMwfdzOL~ev&aa8ENn6NL6NY8Eq})hN~*a zm6v7-oqma>$4p*p8$S<#q`XLcyhK_)&Cui!52AI0Xx}53k%_@GF5)zEvIzyJ$s+qK zP$AJSn$Bobs7p$GKk=P>B$rO7b$(U=L&UZ$z)+5L++<62Z=g|w*PG=i}U)3@S+?g4w=oil4`xi+08?A+! z_5o}N1!J4S{8|*TC53ltP`7orkVV&{TRu%&Al{-(b|{*S+QHgNpd-Dc(-3K`_T zUvK0i`HS)@=SfzW}-m zzq76H{PO?Zx5`od$u(#)I{tyN&j0fBe=a_E^i35u;Laqt+P0>Xxz0#LwP-K z#HnN6@k0JN+42r_XMnK;)VZ&Vkj*vJ8z2AR>L{m$OWErgm98jny;3rN>>R-Sy0%^N zsq2Tn-_qsuVcu%_PpU2Tmzqaf7!sixFkUkSW!8s_1L+2m<{)Z31Qr8ALdzaFdZpJB`*t{fj$)2rgUkUKP%qACYNiP zt#_IS;vp~k!md1`A%E5=7uV9^xGK{9SEM7wtZhM1?v_*7Vvc}_piS-h{_t%0QHA61=7YppbioMD+o-Qp(o@Cg z1@{}5+d}#2!QBDVRDDaiC``|cx>oFS%mp|5TH$5NOb+|^z2Y-lJWSIX#QD{J1wV@v zB1Av~I+6ij?#WKard6cP((MlFarK6H--vIUuEe%Zat-p+-69fO#MP{Ot%!LS>WPG2 ztkv+`9PO;Z%Za#8ea4lt!PCUu8pO5+2){sVHoIbcV+Dlr`H7#c_wsJ=V^&5qj$XqY zKxH?5D7!6BKUq?NW)0yD&o92Ez~f3-BK2flx;h|+R6QW5_TY5=v~2pFl!+s8e*|9Z z+HD4!!SJU6=>>zl=p=3;E;c1U>P5x3He6mCmdxpNE=zuLx!dLEazo8F2#W}bQ9rVe zg&*^=>2`y8>6Z6EyJzx4gtUm^L?<9VK-kAgk-+{yr)Th8V;Jzz~wXH{+inLWMvJ&_WYNhIxdg549bt5PT!4RUN zLT8G$c3WV?bd>n0-mIMS%m)Pz7~}kh4K78mR-Rne{0L-he|xw4qJu5#CVz+-bviBB6UqV1EiU zJ5&i4wWbCC)I1#+st^S7s8+uoO6+j(H7SAChOoNp(!T`$B87=7bEtdhK7VQvk1__5 z^=hjne+jZhmWANzDjTpc9(t&ZmaWh$V+(nLwkfv;jC( z+m(ypB+?YywmEku6^1F)F;+A^!7~l7-m=A`-*xfR#Awb@JR7OwYh~k`=%^ex+(n9wF+l93`@6d!1lYvbHJn+np*6ngOyn$_DlmKFI&=aX;-~%0I+9u z$W(x?DLW4CZd{I@qViv@SQwANR-r@kUjEp{E;M|-ol;?Bf~7J?W2K%dnuY!CN(oZ0 zA4sZ4`^OG(dlzQu>lo5`G6Aw_OM}?ah@0!-uwkT{>oqlrUJD{;U+zl_(KMgasi|u2 zAZ}3Zk=tE$e5O;xYdUr)_?}kTM!C2uHlA%<7(1F11h~qIeQWMz2yKQ$)Bf#2E44(7 z@nlB&W6)UOJOA_VX_r-djgbf_*61fePjcB2SXc&TU|bFH0yr|PiTjCfHGtg=B6f|% zlYzjsjyc#V9;gI@`YedGK?HJPd3cc=(Y%brqsyOKkqXE$=fI-NqTFPOI7{rEs+RZV zf(>~X*Gpr|h(e$yiBE!LNNfhaI7RSiS-t#ys+KPeiLwOtcFq!OKwXoCov;P>o3Uaf z6UvDT_||ZygfnHh8S3j%L01KUpa6GOL*&M392;K=PM_=aVuMsC%$KnlX$nf-bWC1I za`Cfh8JRGaK8lhe2_?uwrwx2b%+GgVL@5{uWs`+nb>QcCVr*Al6e-qG z1T?l_k_V{dYxXwdmsh$emq4=YB@ZT4P8y0Qem^=-X!G#G$npNYEjv49;~*iOh94nK zmS|Q?JnsO&&!;&$fV0Tz!$vPLBSMfqYd=Qb&l8hF79S23$-%Q9wK~51aAdBkNQ2G> z5zII7BvWcK@%oEt(sRfyS1h$Tl1YwiTCv#fZhBEoGsyZ5^Lc*-zU&JCZU;J&9nmaj zs&xD%>m@8~P8m^tk#s+$(gh$y@g=fMXQ1U{GQ`pcX7*=#$@_5-=q#D@2S2emh8z!U z6n^WeNt;XOZ5vg0g5S56_awSh0B}S2<^jTH+^ziF17Pbj9czl26SwZ3Ino)0PZ0d> z$^cxKpyl2D8tX}%o9=&|l5WdhOn1KqO)Gm0Sr&8`@LorqAOtFx^P8W6^J`UVkFHhK zt_F~EzIGUEWC*a-a^;P<#5{D*#&569FwFkqPWOxGHFzi5#x|+Uc1tivl5sKS%C8r&a@y zLlDm1T>w+m;ikpmUt0W_0;V_B9T;R>4sK?_VsZ{#Cm>|M ztp2p-5yx(*Q~Q4Z0QsxK7@J>S>7ga*MN7pUM2cT|>?~vtIKnO-dzFInWH+>cl`FZ2 ze&O!QHFh-J4nx?mYT+R>`^%Q}>bOg*9*5&Q<8eTD)bQuye8~V1hbSfE0pmSKtMyn*kV(I-EAsQDY&LC~RnOUK);^vxe$L zdOsT_I=Il393B@ltB+(%@-!5?kQ3P=YgS~IE82D7QYs#$p@|Cy-#dTe#M2yfnwM)- z6Y!wjzB)8!3-KjqoMyg$f_4&s#o3(sZO%kHqHrbCoGy@ja5{AD!OUmOn=K9)Q%NqW zkhszyPjWs_LMPKzWZZUAN}3ks02!B-9l-UB&k|>h!$_XfLnqfYQrup_;K05vqlI0(~&TW;=|8jOjDb?cr7y-)E8j!+YQnW`uESSaH~ByvCk+E zE|*~*d=Wq=9f`M?63CW#{y?<;RuokTqYn^EclA0NSn6lcv{;RbOpL;lGI)0WNcOX?{uo1IKnIJfhKpeq_uv3a!X_>HJ0Zt8Uana zXF$(!e#HiN8U*ooCo2n-WmX+3(>tHtkx+xAB>d2K8rmnsHQbq{=y>FtOsUv}2(9T3 zLsz{!6EavLUim`ZvMy_oA8zirSHS0C+DBVSx!he6SKbgdV zlbl=+>4tW~;cz=oM7H|HVb&NOIkmhTDbKs}V9wd$B)(qdLgC%r8Hk$+F=u;ml0a5> z-#(We4a)wu5-U&caqgqb?+j<|ioQCcC;1*QzM?-kfB16~MAa))iAfXs=Hw>)6CqDr zG4;f7<)q3x?1dhsnw)}*jY0GrP?O^@WAAh-n3Q;IXNn2WnL4ZMCgnyD5duaI zRS%;Dld)$oJ!XDNAE)ojh@~1pO=l4ysu9AZoMfa;h7n@`z9}N1=8nxr-$g!EB@DA5 z0xUbaFk^fTY^UwoSV8z&-wC6J?u$qyBrJz@Jtuv01M4iKgmf#{9YZPU1y_&h#Ek3 zATdRNY8VL&UGtV0%=`%n2kH=Ee$jyBv@^U{k?(%`;RD>3Z9K`XfkA?9HTM7@{GUis zXa+{DSH}U$Ph?%k<MXml^eq&aS2*}bIVY;KZbzT>`yc+X+8p(`O) zH8$dq%@_q6Y)m?)D6lfk$;CHMxw}cyFu*kmk1po!rGrwWMMCs!QVLw7xms>&_WkBt zrG6HWgptFKA>-{;IO_nj#3pu0T-d~+hGLS_8dr0X8pv%;Crli=e}=I+KbI|VtMm=R zrVD|fNr`A?O;t+aeh@@EHfHLyxkGa&%c{aggg|CPjq%uh8m-a=+uQ(ciMptK2BA;jF=cFPHX_=V?*_Z7u;28(xu$NunuXA z>tGW2Mg7(u1hk0CRETQ6_>2jW&Gv{CJGJS6M0ka*r%ph!yK-QXFEph z~J8ZF^M-HtOhirz71#gok$z8;7m~j}xTEf_5Hw4TG6C z2uokjDv+@CCB#0#NsDRQwYbdJO-i-6^tSb;hWbs2HVBQge!uxfGIxFIn0Fsldu&O} zUYiCGpJt9)&B@}#)EUnw?X-)j_U!$(Y|gd&^=oBoXFWOBC9WtJ#>dpShSWR!lp8t! z$4~G^bKHAk=V#Dv#4roKZ*zPu#XSu{s^_YI7VLQV3&CTXHpPrq*4#%cWU`Z-(m0Vv z`dRB0K#YY0QVh@x764pNP+1kUlmu`cOe=6NpyS1XSKSeIYp5f5Y>H@o@Uuy!_@mIv zXc3TBj@|}6OaiZ$!qcGp%-RHpGPZA?%QZ-4M70SLOkie+bb;`}?sEJ;wnvfxMSZMK z%@7lE^<2_QHy|4o`i0;*$xBg!J~Yn>v(Bx1V}Wt9Uu z#DSvPE&OPYO0zfx_>fC)P?FkLvu}385$A;c$hZ;WX8>b62)dvd`iZmo10eCrQzWNw z#U~DzKTDiE^=||t5qn`8LJfw=qW%+*D#?xe0aigz+p|eOesi7GS*l$t-7U(*4lDyM zIL8#@n|*REBbfW}_P351Xd~X^yuxhRQr9|4(qY}H@Q*mG^yc-G3y?@GA@B*HS`sIPYDo31r$FsKg0A59hW0Qn$p>#+m222|VE1XkAG0obS~8(1V5 zK9h?!j!l2voFA9o(FcNQ>*?k1)Rey6;fc&Pbo!}tqFoi-Rd#TJ`|j>{)7IU7PZ1%B3 z=hk#)J@HWlqKCG5n&#O9p5MhgF>OB%O{e8#a?^Zm{`?23))O5$)t~*1X~tK+apr#H zwj_DsFJz1oRh|H`q4wQe^ZA*8~RF@S^X@~TH^JEt6%O~1!kE()=0!-ZH_3`v>3a201eR&yAC^pBF3W~VC$=P)G zV@Io0I7(cqwRV~`UCUm_o%=j6W$>(CZ+z!m>1jqYF^tY%R{*UR97(!Wg8(_+8S!A6GAk<_0@yr2df)*(U}(eoa#ROe=+uJ>Swdl+jp(;L zMwSG|HRm7yk;J3hv zMH`GEs+W189fdic)de+VuM^EmBHMkQ2W;-((K+d2Lg#)g~Kx z%S5JW)24Mx!Hq#mMKdYDrVXN5wNkIF7?)_*^YhexGqk-n3vmeKm@#%oU|LuR)iW)G zJt-5d7il-oY5M<|M)TK{x(622YVS!LKdiReGLK%vLj&#HG}aD3bZO5Ynox#LlTEr= zaQ!uqshI*axc~hGf+o@__UwVL;Up=^38-J}K#7|X-NUXE=tnv*7T^1trlLAZ1@SeL zx$N7j+=85?RGKsr@uqa2n|-U1V`MpAeJ2ha<|}^I-2zcpf#9T&>V|i|Gc2EXGfsNL zNdA|9`WL|ACB<1D@B*)VF8383z<_4J0^ClaP-!EG@;Tz_ZF=|9`hivi7Ck5-t!#Lp z)XSmO#DZ^1ou+(EUStq}hed>Jrc3a4G zR2obd8J$Sr>=~8{M*{2?VM<4gAOJ9PH;n0k(y|(T5RW*7V$oBgVpm(aT^T z$goum*3v-hbGWGEXnH8TC2*QmH(C^YFmNAf(h6H<-z?R(@idJ&tROVJ3M!l2l|r_E zz=d($bfckxP8WnOH&AFB`|*GKvkxEWFc!~Vfn;QAPw(7Ta23R_189N4?LeK3xk-Kc zKto@F7oPOb3dp2%-ksWJJ;)fYnl<3i`g4O9Qw6)SMk($=oZam&{BFIWHHj-tv;cj& zC1Df*_W)K8r~~i>C;fL<@^h$BmCvf@ofEom4+Wflq2pYgl~*kCU=*i`6j_|$rU9|m zCAF{SN^~bse=eCP8bpCdz?%mCB1(-7dCXtXn8Po<+ciBk3X!I~ogP-}<_NsvX|sw& zV2#zI2-uuyzXsx*MzAN{KtBu9X-3La$tNj;J`5m6{e=r98 zMtpku@&rwm7SeWmuaELY?wj_F9TZ?fK7xo9?ZDgKg`Jn(gL-}@9hTaZL~~k5E<1-2 z5An4)F1+=bqnYapmRE09dF~T!NFTGOH0!$q0_a)}UNT_i@ZyGRD~!FQz5aqu#*6$; zf{N5y+DAzVuNIJ}AS9H!@Ca~7M9zZ(6Njo5LE>iO(IwG@fRg)z5!>JxMtc{7-aopV zrUXoUdo@N^-4to#dN9_F?UJb5wrXobV89NRwA%OH=H<6__0>geZT<3tc>C%HR;pT@ zioATR8*M<0ka-wg@~sy>9Qk#$tod^qHQScB_|j#m-71MRZ%91N;i^PD3->FnAYe<= z)d+2B=rmQm$tZd=E9jbl5I7^An6T(Nq1Jdpg9Y0I7AT!*>!Iafx)zqhlHp%VoZ34h za<53|Z(;t2caj>wVl4jju?TvjI;|D`6DYeoJgI-jjq&|Hh9<&Y`gyP z&$Nq)n2-+)72N5+Fsukj-FX_HYVygZ8CpcCPd}5J9tXhdUq6D2kkm9UGSPYR@S19n zlTbVU^Lr>B!;^Ty7{@qAEf9-1ne+eGB@U4z&6WmlHPJ6LvKW8KDg@Mm6K!v03G+?> z`qTh|{e>^i9I?EVj_77%UOEzYP%xm3;|?GGVp{eYyeuRgTL^-Z`0EHxEXhJ}m+>B9 zfN5?j-M#!N=}7P{c9UPk_o@v#7uxc7K$_*Iq2f`tNW>pR`?1TD>`XWwVM+6X#V-Cu zbWil&-4ErCmK(&vXNUWPeMF}HF&DdX_YH0DsBL)D3ri;0rQ;V}3=hNW&yj7~JBe<< zy&(lO3iZs!bovN_Ga1uWTf)r-O=Oos(&E;$B0X@grlIs#=8d%uuZpYaP>`+Abe9x3 zk=X%z_&`@&)eY<2tRcm0nD6G^(rL4TGI3`p*tJufH0|uvgB-Aj%iE%B7ckvrXTPOc zOcH{0kvV_+uV~K<;m?6@ucl%IU7aSf6Hf`ql6xmMB%9!Q^1G{7 zySccj`{HfB2H^EkE|hH93sQWD(C@8yQ@Ee9+hm_zxa*SQq&@H4PsxK<((b#xbWJ_< zY(?M)Q9ARoNW438JeS!DAKloEms|LRfwe^@BTviVyD=ALIb18C(7-i0@3I?0)Mb*a>x{DEwi@ z8Uz}1OJRaWlh(6$=z2KTppuZ;dG%3or+jL?fKAv*7zZ#pa?t@iY{sG^^Qccnv%7$4 z`DCo;QzM9ODv?hoB=v~CnCh+%soj|_J%r!RSbE~s;CbH*KyDFhNd8yWCI*^q0l1}K zURjxAMP8YNd4L!L2^xWC&{&&n#0chzfUTk^?oNcrznvT5{h_#5htLnT-xKOEfe#J} z?fPW4s#nSniaQf=GGw!Uq5Kh{1q? zYtu+5IwGIn8jaU_0)}&~Dm&q1gQQ;3j9Zu)vTo!1Rk`U4|Lv;8uT&+Cd=mxhgp*y9 zsx=M@uaUc3HRk869{EjG)1$c?i12R>^Az6NSO8LB}m{i$SzKDwekdkAoiZ8Z+%v2ING&2{z!*=suB-3~9D zc`7+EAb3dWuqt3Vn&*mn2pG@?r0=kRhT^r6u9ziJgN! ztZ2Bc)^zV}4hI}om)GhYI{)gAgzjS2!joD8E*6^BMNLtOfHed-nlC~6CCL{t!V{c! zKzus*m0AYfszlEZ(^qJHsAJC?%}qJUb9x}?*G;UWf- zYU1n>1k}F#rrPgc{`6P^|A1eHzZb^cu5lUrA^gIH>)YKmqB)#=87GTj-lOdy#d#L9hx#hnjeN<`@?C8$z^b|4idFYX$9A z6Lc@qxd94EyT$1=h10S%q6G(#G3IIl<{F-)*#m3$@|!(vnv`k8%Ce>>_~`0FGDo)G zs(k{y)$P0tVgr2@@DpBz@IM+vHap&tZNa!wnqCZVupBV__vXPUI-u!J-R{!Tr}cI{ z8yT&%7Fd}`bgF7-1Jv>kc3B#A^N}sZ{SNGAThio9wYOi>4w}A>aJODnp# z7R?cy@XG8!4D3W61D0K=cQKDzZ(sFrwsz@X7%186P&=MznWRKq$uxT%ouKfJs9N`S z1Rg6|8%PO*=M%>*qC=E$caJrOOZBXZB>#=xp@WmQ)(VloW06#Gj+s1B{{ZWd8{lo4 zuVxUxch}9<78&_(H0ZX=QUG|tEu4xp|6&|qw_IOV)OQfh_IaRL>8A|&Lzfxg&FZ~o zPJ1o|jm z;2|9_;xf9!^E1#G$GU_I+H>EStiXL}nmvcfKbKmnrmm!PbgJ3<6$_sxNpRJT^LEnQ z-r$f-H5)ywn7Ol7Gq3wZRL<|wG;*;N+$5uQ9|n zYw>3H7dk8T`$guj$GbDkm$XZ)j_g?gQQ^W*X0>28`TcO94Ho}+yUXd=0FeuDrl+== zHzLGK6^kxN#9ozh2lbkJ$blhF%jdm&26)+z}?%dT^x2=dW7D4b9;jsijTFP?en}& zv2%X!9@PoYVRUcaY_Lw&>x-3&C-K?N{MNCVm^~6f;B+%U^|>6La#9lTFk$a*u!w5@ zXDqDvQ3uiXXJ8Wr6QNvI>;*-xCE}4zY9PROHOFCjfg+gDZN$&Ni~L2F6m%b$x=hn` z^9WFbYV9$GvcE_;rep4GJN2ZMbnybV&cgcDn_g2O?K`~uj)CBH%7WDW#F@v!2<1HK z7Yq%+36lkU8^f72Ns<+$NDjC$8K7QaC4@%FiK1u` z)U9ftX}OmzU7@89ibX`%A5z1uNB3j%^2d#f_sV0V>;4_hi5zC!(5c~G-xx;=8mdS2 zScy_U0Xw!{&sqnlMNJc;m~=;J5fTmvk0O^3IPFw-1%RAcI_lGjkK@TR_+RlMC}5f*fu{FzQV-MLM=G-jbPfhFT7~Ju`7krnMN3_kRmIym5f|9 z050Ymg)tUglzS1-eMuul-`N&}D+9K)+ZM_fz$U{0u$wbYmO{uMk=-_KJ?y`A>Kbmw zFpsPp+pswx$;_k$aG9}c97xJEC!L)fQQ{?O>}QV84P?nh?t67N0N|6ZNiIjEn(*Au zr0lw%dNz*3kq2KsK$tIBZBd@4sq^pB^430uw0o6sjq&=jE+vK*=8Qu{o42=qqH~=- zSEPr);Sj_enig8S6P7Jq;g>bElS6Yv90o1?18GOkWeFPiqxkq`>=s4Gp!Fb6%_qF9 zVVZkt8kYm|*KC6VC51sPA)R#VX*?+OJQYQkcI~3oohk%LdEL-y6`A!4?1pIyy*N1Uu$GOY1IH{ zx-B(GUent008T)$zqq0E5S%su#@s;>UY5HO{)OW&X66Kmai|k#Li;Cz2}*>mccdGi zE1I9s^tVdGd{SZ@O{4>F==5Dxm=P!Jp+HKdQ-CgoZF7J{2Y^YnyT)0mfrC+w^$6t# z+EUleu!W1$mi;~GZd1V?(0oTLxnu;;3-F&v^}9HK_2(Zx(8^ym*7IY;=_BQSqey*& zLFqVw>gbHyA(Og@o5<`VN1k86Wqm@tOyVt@y4fDFX^4IRYAjFHOf3xnJsLID;MGDM zU;ZwUfx!1D&o2Q77NxgqTw zdpz9;XnHQ;!|BqEV#{%wCG*Jbtladz+~t5B0G0-Lw@Bn87l4pu>@3Z(VlJXJEhlxM zi6Y*ioy;5T!?i6#=FC+Y2~Fh&Gw-u&6@4z@<&R*ir}^BL{iE`DC>hag3GeaRz3RH? zt%fA9pgu2Oen%Ssm6b4Kz9ZmFT|$M8z4Af#8>$zd(01`)m9o8f&7V4-$aX zAk-pu{_wAS_+Z`C@DO)wmKQi7j=zVK-=oRz@#Oc!t!OJ_H98o74aZ+2cTdB*r*Gxo zQ2%Q_kM+Na{x@~$vPFjvqPBv`@8RV4X!3gu+Y|lCMc7}%@z-elHFk|E#C%+|``O1+ z^g^?tU8}>j+dZC6?k6O`2UvF`9Or8I;7TxN6f9WDKVmPx@ONEm>`7a|bR*qinTyX&6eo$4YI`q!pq)f9(p`T!l>o5o2Y{8}PIOWX zllbXyet^>3b@R`hag^W$*)9)zajo;cZa2Ul&rt6!qrzn|%`sAhr+LCR^8_APo|p}F znkjlc6MOdF%@ofv8B~_FIY)84x%OUtS3)wAFdNnt&ceDDaZLDCB>t_0^q)$C9jR#- zCwE#NgV7WIH1ka1o0*FHnW9;ycd8mhfUQmD65^QzXjyOOw5#B{m2Z~qclSkv|Fj}_ zgSei{4T6m{5dT2SiuNt|vDsN-a)s~bif?m8@8mK-F2S9=@jH1ZQM0sB-(*j`!=8^& z&OUHh`K+@#=*#FO+BG^lSf9%E!>yQapVy=!+1%p>`%OI;+|T)5?+GB2Pg(C~f3E}0 zJ<$&*-Dh|E_b1B4$uNlSN(kR=0E6cT$=%%1x8)8eW&bxHuF=77;J|NTwS}5^4yG-i zjR@MIh2FmAyuU@uo-)?IijB=+jZ91oH`*+9{*9kQJz|dR^5kh>B^*_oy87yM<(APr zmHlmLe_Pq#)(#^wU^;o7AD2LqqRVyDH#8+qJC77UKVJw(S_4-KLzm`0 zRj}N2A}#c2X0x=!!&MOW7rcRV9^zbA`%ayicBYcBvCjR3OCHFT?tB_Ph)^1{ScIlt ztyVaGVHc`^;79jVkkV}Es_g0zPLxF&Vz;aL@d|FRsyg;dIBAMN+CUN!2=CYOfZ(`iYkK!{Q&*ausffvq7%#$KE{8VCoNiCzW-Q)m-0koe++IVu(P|BgYM0P~+mc(_;;cpQogmOgpx z^ipWbnaHO;jB{sQ!Fbd#n=$w?Jthx~7P!|%V8QHnVEs|;0s0R(1$@Rtp+ayGjA942 zOTfI4;@5W<+}SY3=^_SDUgB^R3FD6gEHLyy^9{!`2H81Z4h+o`F_=Z<{GUJ5ar!hL zdhwGsEJbuJ;Fnhisk^5Vu^kFvPjumJo@iT^>kAx0=(P9}7K;p_;*nQzw8o|`X;p&E z=jr8#Yv{f3OB61$!a)!mYnXfWXMd|2{``ka|7ZWvwd5#T__0Gn;9Z8gx+vO>x9hug z0Ge*%Al|JTIxq>jh)!dEScB3=iQ+{JYMGGn2r9+fgpzk7i=c*7dF}vfaf!J?RjgnB zbXnFn>5@ehI6$f%;FDaQOR(Oycap^bRgAon!FXV7pc(!0clMgUR)aNh%9ODdV?;aS z6{6Wxv{eEaf0CwP@KA)`ESD8LRo3e(Bt}Y>E+R%EVDP7{qW#j{mv9riNtrFu41PMX zM|%r(G4=0O)oPDU9s&KnM8zTq1X!4+xniWki#OqVLW-DyLSw+XZvkL{fIdG#hT z4&qB3E)otK3&x5p8?c0RBeW$_R>c1eMKZ4k$AK_HO;Jf>=}^XjDPrs zq?;}ZuVjQQBMjbr1E6&-`2aJ(p+tt6nR)S9Xh3J&uqBj#0p-9usYhD_4hE;lnOxt>u`@FSYW-WB=P zxH&wV-k6hgO=?bhbfWmW0_^uu{Fn)u-*$_hk9v{#Z%9Oh9UbsOohZ*k)8S@!3Wwc1 zzO_zF(l#CMM9=2gB58kW^?4i1Cx~L-3u^~_4;7!l-TVta#VqjhsvedO9&O>C17Ay= zksAP<(hg5Lb_4T(`B$;`2V#O0Da|d%ZCUcAb-5{FSmS3CLn;Idx}(n*sP!P^~$f@|}F_$$&6eyk31{9_`pC>`%50Z{-lDJh&QvYZ=ykaMx_N z(@c1L+L3;0$*n;5=;*SgLg>=4VqL9IY^6GF=wjV@@>=kf9Mv;L<#JOYJYP@KVpY){>J{MzY%2$uJ>#9 z25`1?J;n_#Uj(uHDGdP(49KdrqT5>Leu^UoOJ1`F7_Y4`OLA~h3W9!-CXS#4ZqIc0 z1@RAUNS})IfqIMXek1%P}OQ#NtpO^S*iu!Ar($q!>5FDSc+cUKB2-5#-mYnnzdrc9CtzDXb8ejCA+wt<@s90Y{!XPP=2 zQzy7L$El}Tl5_yowiFl1ZjvjE$6PsJ^x}+WEA>;=c@0e~P7{u4GB67;U)YgF0bfb= zW71+$iJZ+0+M}D7&TDa}hPq~oG)!X)sxn0N!z=$+Q-&(oH-ay5^2Mi~VZNv+ahB~s zLq;R|>j7ZVuV(zE8!hq#kWH%&m^C?UKUL$do5RbW9O>kG_Bhny*_~dQIAgL1{X#M_ zjSIqwa87Xe$&u>aVn6FH97HlHFs19W&XTnPtO$*_Ui| zvkoKYk+wltbE=wedx(id6dRsw ztJ@1l0UgEPmA386t34AUdMA*)Im}Vwan^9W^~(Kx40&~)g0?2zI<`7GLMZs8XwPV8wF~h4 z)vFcd^a^Upx~Vq}+!$$o+;*Km2D{P?DR-E@4%^04MOSym&|EceUAdE?fO|d9zMZ1} z;yB&2s_~wuQ>US=417Xl>M(HP1_qDU=KwALQ^l-o+RdEyI|nFwqz@fvldRxJYP$$# zV!$D?&qq%SyMe6=0`IhdIg3Xhci)SgfAZ67ukx9VVS;ZoojO>bCX@+CXik9rvId-^ z`&jmxIfjv(LZO9<{M^&}B?vQ42+OC{4WtBBJ0Tq@)9k|e)3Ea-Jaia%A_7-6i|}|w ztgEjuoA*1=voInCuBxk%GKW49MyxD}-zdDeCqZ~-=o0~Yrc?E*{_OKrSL<~J9=ZTj zfZeX#h{n{dD#&gpHDTsv((SKm!rKtu=X-})<}}6ezPtcLkInr27&h-vI2+J0Ka(VW zfSr0$+tLZpsJ1z0oi2yf9?p)xpc%tz4t*w&C{}$+X2r!Q4t!Z~2E1ts9-5kS zi5}so^{X;@+V4rf1=hgmRyHeul!|l##=Z=2e z-9kvbMOU-FT9@N>+}Lri&ce|ZE1wmVGD|8I#1F!==5RUR!TrC7N?4w+r{lVz`zc_T51o!s zh^MmgBm{`fpn!AFovzZ(3unMjT4;`cJ%b)PIZPmbcil13K_M!4NBWyA#oTde7Qm2d(UzI`k0vGTr`&nuFTfPXL zDC5?MUJs0p%a-fku6#sBbwdl!9Z#@*Z0F3F7N)W_kUs;cdx5L9 zkk`lgok8F?_<8LmhPvsdtCUVxQ_|g*yi>}5|FgdU?}%j^MkLVz_)cQ5pD-NDdqDAu2wPEvXAe_6OHV-Z-EFZ_JBtYoE zbA@1BvJnZ9CNvd*8S*VP02LIS3=9OYfinX&0v>hNhyfO14NpYG_YVNZL|KRl-F)sR}7uTo*wcf2T6}w^fF= z8QjwQ=B#THETWHydn)OsA)uP5NWRFX6$wm-wyY{%jmZ^#%q%I3qn@Yc>d(P6#DkCG zsq<$o4n30FVXC)H)BiJQFL)Rg4CMU^n0wOZbP;}Z1$rNm!+gy|tD{9etxV(%ZKaKb z@6=?{e49rKOMMh3&q5UwhSYRYAGyG&K!N}37$U`n;VGXJSfDyU$1??YNNPD8v9{QT zV9E#4O6mbyK4*w%AGno(KXL)4#C8)T$vH{Pj>@3Bfqn%%Pk=VcSH64&KOtC*U@kEn zf%mcU;XgswHj^@Vz}Kg9eqdGa=jraY2=$fF7j``GXsY)@xh~fwXj@YY2k$@HEkF zpe0#@TRD-`5R>J!jiA8%o%fku(}(eexh=(KM7 zVUvZG96mR^mR*>Q@V^K_0H!(zwNk_E%$;>eFm?y9@J%!59@|`K0_bGMptXfRtvED` zU6`&=5tA%sUKY_^`?z-gFR_B*)?uw+{KsF=3Z@Zyr*^Q}+gbvjK7*TtJq(5|eN#Kb z;00^Q^g+x9dc(|x=gQnkF`zquwsdq0;@4%YMUGxy(q@KBtiHi3ex9Bf&eBm_h&RVH zb5cxxxb3(r;3xnx7}fxEfSmfRDy?xR8uLf|W=Yin$;2L}Te-=>iI}$AZrZ{_1Lo6x zC7?mpFy)WZ0BX7jBPWe$rk0n|nADdgjsvJ!Gx{fZDAW8^CNOuDnT;|5GR`vLU5ta^ zC=u~4$M-WskwjNm(^WiXhG+6351bVItWnDd!l0z3u3E{T}ok_z0V!!Zd=rXVHz$3+s zQhK}&3}ajNJ)4j#0662!7!5;{Iu+c=#7T1;7I5J&uZgzcv0d>DX4A;cT(xmU7K8xC zCP3jiK%ONH1oc~&3N32ff#2r)yR(&Nnz6O$iBFS@WE6`mbuu`Ud+m>8`OO`F=XDVtr(tsI+#2l z9a!uY-DyU7*(fgqlNYrt#reb@+beAi;)$YdKtM|DuJ#U1TsD~S=D{}%?x+utB8M&6{&k?49}B=5VmYye0)S__rCrS)Q?TjQ47Q8<=nlgp8A`&v7tCdpc^$ z(9vTqNs}=fAc^)+oZ0gFOhd$t^8{ZCas<16kP!!ANa}pr#e%UqLQ7(ARE29ubhU8R+-_Im zBk<$<<9}8j<8(GGxH$`5=4ni&mrS;!2xH?7B<~LeS3!DV1zR?c-IRCkPSdevRN-UA;P%< zvmqQay{-{85b-M$Y0t~8lYW!6goFP_IaiXLAVQRjK?3va zlns(`=3iGQOA!b&1s0EMk)bY+icW_mgjF3xh5W`XvYK4UijFX|W;{_ZPt&s?g*`W9 zsc-#f-+J=~?y`1UZV{JLeCTPjrFpV@8olVi1b8G{m(INQ8S#!S9b)sG&Ssn1I_Dso zbnlZ93XSha--EgP*j}nfjsyx2<*bm)IzKcyGHA3=c!(}jXW@|c3Bo-}yYH(LP+yiw zy)YUD`*F5grx3+STr9Em&0*Eu4w8`P8d z7Tu^1WkUMQ0q_!~2lF3L?@ySZ3;F&ee@xF&SftO_H306}s=1jC;AR)Qy3k1s9m)y0 ziHT<>%t!}c*gtStcrXeLT?e2(l$Hz$ybrGUNnw%R8@o@Z|4+YTQo}6>=?%n9CVLBT z+1TU7%N{iV?rE5<+m`^IkYDr*nj0WRFN7RRq6`u%@Tn_H77#EG(!hEHFDTDvT}_%o zh=BA(vjk31-oWYlg7ZR`(3VhkI$*m6@h;~L9BM#Us$9EBum)lQsTG9InYsc3(ustM ztbj*E#d8y4<{es=A4~RVtUGON!=^2Uh$keLZo15xNY;2PnU(SpxVy)GyOm}K0;#af zn@ZkfDmJ<9bjcgt?sQ?q3sOMEiiC7oaRJ2i2R<^q+8&Oj!$_!l#(>Rx<N4ytLBKHcxUtWu!RY(b&LZ^N7TF)&-;C9}gn6A^^NYUh^Tuog@ad)*rzV zF0Hp|1s@QMjMoD#-#i8IIUxNqkOs6%7P9xI>K7?5A$8l}|NRH(WUo7Q%x8?d{M;HWr zcB}XuV>-^nFV@+AM)uer2$+X?&2(40ve=A=2U1@#!yqw<58uWvgd0ny?Iv?MH0#aJ zU+gq|7O{aqTs~Xla8_f34)eKb!P+a~$iB#F6!o!o_BNnr-qo9hp+;xLbx$4F&>~ZT(&oFmuCUJn#2?`~^<%AhNf84to~o7I_07uAh%JCNZ3g7W1`9}z9u%SI;%-rs zQ+>j^HueELifrm8FR-~j6wGCHS*cHd@K62->5ak}_yiYNryYF3m~8~e6WCb=6_^8? z7}|4QYf`jTp9B4(P!(QzaBTp8y4nguI)$8yk5j0mne%4HVN)0#{;ZIep!k&`Eam{j z(Rtwv%nEQ>dqq?BK*j_$zeOJQ**cO9Vui6&wrWd%fb|>R^xMw~8D0df|NPspIb(I6 zrUKN+pNnHk0!u#CXRHXR`7&E|H_l_xbfiJrK%8#r2u-$ckpn0Hru0l7%0jCP9R_3s zvJTKg^qEG^ZmB+71)QwtNa@+zx(3knjKPA1>T2lJx`#gf2v#N70zUm1bO9{@n4CC7 z`oK)TFW_)d+WUS5&c6qBVwfAG^UZXRB@RsRCfqrj@}aygJ45H5;kuuf$NjST@gy;I z_)zs=uW-?PxH|vIam_W;9st#GrastW?N9I{x5Toa315RD^zlZ2d1i9>G@nUzalGX? z3X2;2?Av(wWIz%|lV-Thx4;Y{%Vbkl2l;J;QP;E2TERC`QbUy>KAHi^8oz<62M{tMi!EvIT)1~ejTB==JQYZ3<#mj=8`bMp2O>FtH{*hLU^R#BSOI~{0Ku%Ts@?V{+^dXbJhsJSUDY)5w9acPqrAW+Y6q+zMoit6fMQ!;a6`IwNKY5& zGa93IUteBZ%DRD8v5)1ROsc>5p~EkI750*Ce>~M^+=*=Kh6#YEnbiY$*5JIcy4g!h z@lTW$I;?)6CQwGiVK{BG#vunq*Vppa#j5WdwLO+a`?Oc~`Jeu+daauL>9Qv^*C;&g zm&JqqPk#?YlKH-b&j|I0nR^YuBl}eBKU?H~`7I6kq^IvzyGFrFSAfuDTVYb*kvLi!~Z}NA(W8 zlg^eO=uf2f%N2W3OX%z9H~$DrsB(hL7cfUJb5j343ck3JCQKZOwk5mLyN|;gY5Y|1 zAn`Bu^)7RmB;NK`BO3Wml zcdMpREEtwZ6WpiSEit~C#Elje35~Da`;5N+>)(Ch9*%82Jy!gCQ>=ivr~e|&S++QM z4fxl;ZX1D&`tB~)+z`Xl2ARw$U&=)zr2vy#lPwBYElu#Pzj<$uAKzxzPJN(mF|2qZ z1$hF3uOZ#ZmX7gt6c{oY1x~o`NAcNID2h_u_qu^WJNDs+!dUpJE+ZI@<V}MjCdBtQb-If zCWQcWEpHf3w#KM)dxA-*Z_Xx6trebf)rTHW9-Bg-G~U~^fZ$9&Bn)nMrb~U7Nco{I zKb}SloHn>p%3>0L>(i+c@r}tBnRUVN(XPO3@%qwME-tA>S;mDX*1z~`i)iIm-x}H* zPz@25F!wl252_7%W1?ns%^E}(QA7s%rhXtP%fKwn^ zZtnafiDMD%yURSIgX>gpQs!LmXqlEQ2CDL4Bx}R9{mS2r|HfGQrM0r5Qbs%#E3S6~+IXTI-=18O)=53EzLt@uO7kfMvE|7PhJVc-DM zghlculDX_Yo7l!h7eB%rVdi488&!blfYUP}mzjZPwZ`6(^9^4@k~!of4qY5{7de>A z2g5|ior;cq`B?vizU6i@B--_%9U|%h9;0TKv&UVbvSinTIzY~ zN$&Yzk$BTr2wl-r5uVYKE?uO{n@igumUqA+4UY64xHk?isS*ZL~W!g+?})Rhcj;sH^VGSJw} zGZ@RlA6I6kD>ES4<4I#a=6Y4efP3ePWM*PxB5~hFBG9+BOBgq8sR7542&B(4Gxbcj z>h&8%zKj{IE+eU_DLp4hJhC}BRX7v4T(YC$3nM*bU;vZ0UoF;9H$Tzin@ovsF4IBj zrG6s9T~oSjFCJe=V{FHnIHoa|u~d{a3#oIY`=7t_<_&jCQ*2R|gxKl8N_C{4%y6HV zcxU5dA!A6`I|)~!!|oI9j}{Z&(08;7O9lhRO{v3hnqIgrws3%dmoT7YDu3QNOqJ)m z!?%p+NY>Nvbrb~l;Q({;-Yt)JPQdu`$MRHco$(hbA()pCjU@mL&mX_dxPWXdfHW}| z;NJTvz+YK3^~>W*ISV4SAauJp*xJFdvodj zd_=X4r-g1kj)ARr&)_S2V?u7Ot=hxnz&vvbP|{0uB?35lX^plW2aJXen_zu97U=7Cdl?XO z7x}13o1!`JQ_QIU83G&(7-J)W3Kx0S%$QAZIff3-)#*ehqx$R!A`hK2Q|wx^v{!?u zYo~|MO&EuBmPL2>A|)9eWP+Q<<1m2CJID9mvWb9I2Yb;x?Q&djW*bhO6 z9mq>)?#wglQJg2G(n9?#v!Z#rmu9>ki4d6U**x2G zt7}-~ZblZCX$z(=s1a#}7q~IbYx7*MSRme%-47PoUs#vg$czApKbe>5)npF!pnD1F zMI+q}6{qJ%koaO>jcKn|>R{ofJ|={b^5%rqsRNf)h>?02hTE%%vUuQ9o-EV!)}qFE z`7uq5d9vqcv#T|M>(cr$GQFf@n2UmOnT-rDuQr)}UgG+genz(2T0qaD2>ZsYl*Izm zn?^>P)^UOf2GZ|<*tJm{L`gq%gs8s4!H4p~Aszx%ajqE^XQP_qs^&8yW7N`0LyH&+7O(vN#+#BI3qyz}?0H?S}7K3Ium>*KoFYgN82=zE7kt0_#8d)n6h2 z+-<-&(4{+oNIu{xw&b`R`I8pfp_o{85Qv7bcc*2z51W<;9?`EI0%=yH_cSRG67_k> z{x_8j8WahG1tL|AXLsf_264CpSWZ>&8M6fkhqFiM6`df#r?}ZHy#Z5T9g{hj`phFj zv)zVj1zAW#Qn!(R=J>uxTV5Z9p1an}M-|pCC|C5$Bj< zJ|T=5l(!GHLg9Prj&=w-z~LLvXiGA477zzk8VjOYi`WYHlg9;kXQtg ztf&f?wx~7^=*i)dq>c>dB3??z8epea9(gQ>6nx4-uxA9@U+UgIV<<76(+oA|!C>K} z13$SJ+>>3Lap-G%Ih<%GWIS+gE(fB~*i--4o!vgsi00;0Sg@44LiZF|8OOc?8n0m- z@EVj_k6_6|@HVL`#_}9qC+1UPw88vQCQUDr$)T?+aPwTivCR?AHf^Z5uPH&_4D8jx zD{C=LMvG~xC}4`Mj6+{n1?a-qi-N%;8TSaFPO5!=V5e|c-;kM*Opb+RoRK50vJP0x z`@&pJvw@uiWriTyRWpu;Eg6=Rh6F%{Jj5mY&tZ53G|60D#^C5kR^J$D(i$0u#J2EM z7YVO4xH;eN~SQ!SgZZeL7Ex-T+FOmv-Ji8?}4ykjRZq!rlY+=m; zVVR2=p}83c!M5iDaRW?60N)a$w;dWrnmd!@`w$Krm<^(N!LhJMfGF4Os7yOGgEiEk zUow{HLaWZ=S*3X%Sz#{6#Gaupl)WxD8y!oHAYy6}Fa)2|{kUvQ%ps&B6yOoH+9&L5;9^K)CRUVngxar9D zJCY7y1QmCW2#tMp(9(0{mvGWR@s#wt_;H z7fxNRTcMqUR`D}1Rpm8OWfB3{C^HQ(NDswP@kKN!i*F@~jU?W!B!R=Bh?fr7xMV@C zv71^`)FGwLcf}+8kUD70R0~`t560wz5EfuQa1=W!1n{R9M`0$vAvHx~x71Jd(fXTU zk7H&+0Xvae)r^Kr`#fsSx4Zs;WLvVdX;!4#%>m zx=mkpw=sm$ zh!4yf0-R?y7hC}q+_bhuvs3+c@I0;YHday(X!jT&hf?4q()pn4h6=*N2Hvcn5ppFo z;fD+i)HU#5OZ`PcIY@6dc^Han4;UlTL=vGmcCeK?`l^!lHzq9{9m7o7E7Grn7b;xD zVQ7Jdjkc^$e|jtzUl~G^Zzz=h{GP6fswqOmtlT00e3nS>k?@={>xb;(fKnbpkHRE zt~|ifn3sN204k8A7Hu^rnh`fD%@1UOSoFIvZ#5cQ2e}{LTv4Ft! ztb@uWpywNOF!qYXIzSac!F{f~A{VFm7GwfLw+yA}95<$2?1vT^nWTx-3(_+u2@>n7 z*I!--AUFw(Os^P>(DCEUI+a^M3LfD14HAl1bQPH+VCG=HU)%<~X7ynDvzsX{#6HuO zgeIdTW;)H6lEQH*wdjDBcZy>paIPYq0(EtJ@ULpeUA4s_VofFc)QcP@bGfk+mXjbP zHPY4xKqMm`#O(7S92EnSXBj{;T691jFdjhrL+O0$L>Ap zhQ1ZaBGDhxab-Se!9!Y%_V;ZdZw{|q@@gbckwOu|H}1l}A_26X#GmRP8GoidbbPSk z{)a=TL4}9}d4MQ{_vsxVrtCX_dKN9{vfv1O0U0wKX-GM~v-?(20^h$+Lg#}8BJ2DD z8?*o}Ap+%aw0vimk1I)*#*_>Ig{s1P#7dP2<9i3FSxJyV4v2LhOFGe#9eAK`w>vH+ zxc879D2Lnr2?pY>2ea~{LQS4ll7^0!ALzi^t}HMyFzON=o5`T=YO-lR{g~3`<)fqx zP+CH@F3yE;Tvv5o>?sKyigc2clBA43N0wHBpp>FNS;VW>sytjY(Tfb|4SUK>615q-WzIYLG;@8*DIRRK2IN)z7LNW2 z%HapMY2$rw>+mK-q>(0doi0a6%$^(nmg58{*9tREW6tbBzeW{uLaXYWBm+u6ZFnOC zWc(Ix2V6m}l5A5(zQC%Oo$9GPo$Pgg1X6DNmQ-#Qp{#@29%)}vW|qjxfh~1$Fk!74 zwZ=6zobckew8%;O(?sCDlN+R2cX(E|be0}LOu&?I6%S!x9_S$U){($u#^DB-FZ{$gK^&zz zOJrmThb-ck$+&6n7$bvf7bfvgOl;(dhCG7%1?vXr&J0+9HpL)R@s_!U5Q?_`s0%xN z`h%u;V&^zOz}-1vmg0TDUuI1gSzSj*#vnJVX3m?XK(1Nj&5XPZwgpFl8jp0k;Dqxg z)X;F5m*z%OUl3j#>)zQijy1p5-m&ix6&YP+^M-6ffZf8kwki&nrWo^jX_x^y_$seI z6!Cl)_Ox0$Rd;mq<6INt`(n<2B0{jrnBO4?2t6PBT7@l33^S%zW{f zFXp9vW>T7W%xF(@FHOmMmu$Y74H)ceUez)vyW$Agf2|FID4_)+*#a|LHp_N%eL-7B zVK|gJQ?TxsT?0bU=Dr86C$DQ7&>#fcYZ^(;zkH)j!9_$qO`xM-6qZNWfgt@F{F3K! z;GP?#89(h2xT+tWQ%ya&u2&#uBwIH9g31f{I+Jm09vwQ6 z(DvKaHhn-Qj$%yL@CyeVuwn+;40u{U+TXJQ-$6MyWeu>!V@*{hyM&(%lP?_Kg7f<$ z;?MwhKvppQX_rrA!96{y2PeA^;x8PaZBiR9Rc%vMQG;FGSL;V0P8af+4ELwtKB2_G z)coK6*8ln^R5qLdDq2hSskq=}L6Ld$RFch+1N(qZ4wT&U$uKS%0R71Qd@LP23?hz; zOsFy^v7FAeGG|@1rF6|B&e#olJwy1a6C(<6T@)wwU#GIy4}jP1cIruyjr2ek4jwMy z_P|Vpc+#TwbM!Ex<*S;~8Qu0+sdWk7Zu*zTL`WD~YBj^nQhhjD50)#YOQXTvdZ9u> zcrxOC?mZfn%=(w#HX~Bm8{y}RMm20NaYsSuwsxGFA$mELoiXlMj8`qpMp6?Y;^aP- zVg`_Q!i!yh;*iwAI}m}1;-JlW07=zzREAu3_`XXDjkojh?S%C1tYm;rMgrzFiA6Xp z*&r7fupB!&eU-eTL_Vm}8W?D+uG$(&_^nZ3V3vUxLKwF&4kK&|`L2G%ZI=W`dZch8 z@fU`ckV2AWvoeN33pH!D6ft%#_L^J$ncOOkgSff0XeceaDvdGgyiq7e;oclR?$6J5 zA=?17jQMrydc@csNX!lljS`Z(vDLR46ncTHLze%+um19<`T&_|c(n{Tb2Rp8tm8%z zHrn*-i@l{L@{EH^K@FW*{>9%d|Kf)n61~6BA+D;=ux6-e#)fpmtKJT{ zw;N1Oytnm@Ov~%GQ$6YiFAPJ`X%fo4Q$YL1SahZ#-3CQ=qve4&>+ARS^i_JJkSqMh4O{EtI-A;_X%kD0^;lRgYjc0?Tel%(SF@`qmatqIOaU zfFBPy0^C52*4xV%AI*kZ;NP0)JGCzl0t5;BGv$tAP?8~kvpZ~f#T&+7&#Ezh; z&Y-KcM+V2;vvRp=HI6{WkelnwT#guS4e5BqpyMuX9Ch5&M~=W_dVxtr>hzu3q0d8s zB8&KT~Xa+tG4&7`N8{g2V*oej?^Fa>grTcCah;P0N zz`LpVcxbQeLY|jg4e&y%rgL3Jy$lm*8DBKqBAd{coB4S0l)z&mFmMnscX+UMv{9(QzRb%13FPe6ts z^RhH>@|9h^-PJ8a6c?R!`1GTutO2iX50|qoXQOpJX7iDaD$*9myi`{E>Bn?FuR-Ba zH2$p_< z+{{6!olQ1#iwr>Pf#W8Fdu!>zSm^|u3Ibk$Ou(X9G0JpnJ=7$gj{P0=65Lb|y2qlc%p-XoTsab)jPQ?U073l2FZoNr=G!TxIn3x&cF^eB#5NG6gK<~A|_Q9!Q0B?mu` zOkwP0Wjj`r<6U7>WvTcNmyOMK2U(8$~(apeVs(pnjY6 zR{U2`5)X`zxio83@{1M)b}Gb%2vF*>+-#g`KK*8tn=Z?JVXT~+W!dIPFLNYZF4(%< z`FzR#YRgUUJ-ufAS-F|}SKVHoNv^0Pqg?N$a!rZ1%UqUoU2Z&N5Yq_X z2bx%B!Q;&PT)EjjqjE$D`!MHK7W~zgtJe`Lhr}#5{CUTBEE>)oHo`r&v~k{OaI6DnofHwP;z|3^7N2~XyI%sCEvU} zvkY5+q z3lv8xKi>fcMg!WW&i>MDFHgGo?bF=|Y)c313tV^K(GT;}PCb-EwYrD>^c7PG)5)ks zrh{tlCV*QH@%)8QCB8dV#q<^Tp7bGHxey8!I$>)4M|cP=L1~hQTZ4$4OzYU6bB`Md?RRTtI*-24me)o#+Z~RL z4KtlbUzlZhk+`ir*oS8a)l1Z1Mm3raxzSc1uphAc;5=B%V} zUeY`*7nS%UO*|HAm+$scmY;yO-7G7U$K^u9aN>69<$=0NF1<*0=@+ur>!yC9Lo4@T za-V!*{omgj5A7P;VVtQN;bFpbXw{}bcyU#7xIP$`sk#jVr*aTZZIi}0)_}oJ1OUOc zp46cMnP^MrIHnHwX`Qxq+jGQb#M3>p_Uh1<)G2@{<^>p8Ep0^Q1{|p%Mm^Z&s!_Z0 zz=Y^7EoqYXP>UdSRvni|Ijz0D?+Mr#L;ewf@-rVKiH}|mzw(9v$l#WMY| zJInUeSNn296{F_#?fCJ3Kq^Gv#6uQJ5`Hh-xXG*3Ogf@b7GDuzsU{=4(|eFIGM1zse2GUi!m{9`K`g*hmNy zGwp^fukYIseH@-|oI^{~^CL}4CBF3@&h@>V>3hjW+SD#SG8TffrIWsY0_O*mzZBxn zDl}~hVg6Ux;Vn_6k%-iBPZD#*CP{n-1FG>SHwEo*)(HEJT^Z;GmH9d2m7z~%Vvy^klfCkg%JK6==>uUpprYW6OUmR;z zR|T+IVk2JyqT~;K(ef2^aV+}BVkBs#>fmvY7xeQYVp0KzT3lehVb)dRY<;+gMZzv=v&zf|+F0@^cxJZ0y`hZ8o4u ztjaB3+Fp@2#WQSK+XI3C4SLtVs#F@%dd<;sjo*vO8l^LA0<7TXzKPh!aneyebds_a&>f(2zCjtl z0{}0WI^rQ`Lwc`7NPWu&;!7E0Km=?{`#|=0ZQl^`jD9j@L^lfu*$W;3U&t8#ytO8~ ztpcMQEj{>_mY=QVn{N$(9ZaVO+&Ub1IgD(42OTK%aA)OY3|EO))kBUiXgM&l4yK_c z22P3zwIyXi2dE2E#1(KJCWDcUUQ*Wuojhnyrftm+W4R1s05%PJ)2y6R->mz>(iRYc zni%q@y)YKd%0Wm3_FUTM5qyQS{*HstoHc#fcUyk== zt?zwT-w6#IgSmpW-(4K}N0W7VG<4Mp;hnVE;!r~ei>>sX=i>jS?M)txq zh!81uSs#mwk%&~oy3i;ZF^f_X|R(-DAduQ8oR|2c5_go$XRLl|Yfn@DFPuIR2l)>U8ia|d`!V?efSF$h^Y zBTZ?@$#x*_4b$*;tuoz9%dQU5Ki56z4WE%Zth*Ic)$4kO(ak>RGhW9Ec_OV0d3;E@ zbUQPtKi2T7It<=(qyE3aR5`jA?fQ|9Bmr0bM$bxGV+OLH9t-nxlxo(GtZhjd&Y(@l?3&_(|HhJ zha$IR)xrTMCz-vK}BfD z<+;;8DyAruWQWdf4?tC$r@FZS|N6Jzyg?wXAO()U+2RbP81@a{jKAq`1dls!>azeN zS$MDjz^N16$KuTdRZ0WG$h4k&@A>w-#J_Xed<%%_gk!3OyeNx&i!6wzroP~E9Vs)o zF^>I!>@H<@?*!EnFA@wJhe_zAL7L2k$!)fgKjr+Mmkt7q??Ne%YD_y#58wypf*3U+ zPsMp%X+gGmqb}6gkQy7p$(}TEwN_4YpV;rh?9RF1x(dGNvQna@kX*PF=+JfVMW`EC zjno;yHb=bNP~vwfHMr;j`@uqzD3OaPQtdyfJK-#ri;Ox<6 zUXw|(Di?(sXA8j)8(L9R+hrS=_yUMrFkj)5RFjHRhf}+dX;%HS%|HlMK5qiEaX9kD zQncBm*&l;RK5NCg=$g9hOzFPIlfcnm{bKU3QNSXbDLEM37hY^+AQVLzO8SS zHE-mr%Hl0%Ih*65tWSRmG=runv2&xmU$`4@Ai2d8)c|JplUgo!bFRIvRktziOunxX z;Er*|nl-=7f);iD=jT<;H3*-d7{v%8-@Mj~GG5nlhvFl9ewyQy4m1dWrbG~BYd7_} z`Sgd>^rv6K;$m*(MJIYA(E-^VPyJrK)MbmWhO?VF_pYV`?S^9sqiOl_D7{?FzyE7* z-gG6-W0Qg7EDansVmygsHfXL8O$I>LU?dg5&CKv%u9=7gO=iw}HA_wvsYq=v*}Udb zl6juMsc6|56jpNm-R_DFvkOiXYqM+!Z|KN+;WOSvL(Nx3v2LHq5OD@gt_1*H5W#X$ z99TSn#Sf_DHyd_4C1hO7UNketeHie)q!$cCcxmsz5Vojwvfw*&htaw`)A#x-boxAJ zJWrlJ&oAe}Kf5YhliqHYH*@4QRk(?`Ms>AD+ec!8MGlVKZC00IxP+ErVD4Hbrh)9y zM~r&oPgo%)d)P7$&9O6><&9jv(~$uSOYM91q3mF%JkucEch4r5>dp#SbSLnm@pfBJ zq=){JLv2~*kS2LkoLe@=1>~Ny0nLTcYxQ!N=Zc*2)bfxCuK`zWhev$%arkJSBYuX$ z(F0BZVo7ckqkF_iAboHx$qyIBC0C?$0)fC-MFs1eWetZr2RVKMM{OdAyTP@1tESKJ zyWNtzSeZD>3V)s8VeR@g9@s?r-0Dyt*9OJ0;Tjl=DO~l7pOOOH$dLLEbYP5)!iAVY+^g*7{>H?GW?q z*)!axp0S0Wi#3^7YjrjC0@vXOTBFMWKK{a72tZ|z^-20i>&vR7V`z1}Iky8Jh&*r+ zaEF}@DCsxTzWHU{5lz<{={?!5?>weBJ~L_--(ST3-TWTVi;|Er_y%xcyvolmmJ+_b z@jyL2-Rby|$dA)IXCOZjfxer#{!-v@iz2x~1dk54QITBExY6DGE|5e-S+W!~-U8vm zDz@Jx=6#HLvsKrP0%485!HN=~FwA9*7it;bUBw}Xhsl*uz`d0r%sk%$mDs)Nq^oPL zgloiCVAK7T7vH0wToV4csdURchL)L&TYdM<8>(@`K1uLGJZ>xC)XOPvm8pNB^r~CoVB;~RD^kbT>JsFVG z_qD#zt&J>e1;#N;HO6Oj%4lDbUVOYQowe~&dfiy7)>$b!Hc?hwuy$mF!S#Cdbcr33*Z{*hmm{A+FK z5Y&_y`t9Nu>VE!(KA?Heh(C`w!W}>T{YUzrN+=BT}HT<;r z{-)1&T~WR8i*-EHv37li8axia;U_Jzbqy+Yj`*V$Y}IF{Ug?DL3;h_9HDfYhFk^f+ zJDNklZkIop8>`Jr`n_+J{*->R+9&*Rz6?L?cXea)uiX7pww2Xw9f-r4#=nnai%wa(DA9@pY*r&xTatG`9EvxY3n@o z^uN02UuyhgJ?-cRG@JQ@zN6}u-PZcu;ob5?J2bWdGP6#7B^S?({Ep=f2RV*x?rM8o z!#1lOKcI~walx(U-{Zj+(4&zBW?n(fw zWN`pg3O{w@`@jjp0JKkn6p+Jy`1F$%Nr~bt3qZFMx+I4-gZt2>vvj5SDcA|J5U8WR zpZWLj?(@K>6FaA#pR&mqp>Ym;kN1$&jZl?@_CPqnqo7l-=B zl*)_3dw5TIO#9@l+5MBbKJlUwhZz?aF{KJ>qpD8P3e7>rmQabHkk8Wl5bbB86eMD` zO$ov%B-I~B{yhkzV|0usG30o?r&9fZz7K*pxKEupyLTBsf+LP-Ds-q;7Nkx}eFidi z+B^fC0M%0uD!4Gf>vo)?N0RJ5WiW=7YSa!I#Y+r<7(j&SFkAxdHeI26%u6Hq zG5E2I!J|$MQyk;q9E(ZrQNdy8Bx!UH(#-H4PHdp9JhsKBKdM31)04vRsDW@LqoKjW zM|>agQH!QCS%qubD&xQnfboY`(C&BdW;hJBpMC@z{Ru8+pZ*ZHdS2uO;4`9X-D7AH zFze7M=%8rGK*>ku!Wxg;Iwx(aZpQH&G_~N9OS`X&!;G|%XIDvcGK*bI3zizC7$%yJ zt)emd^dtJ(3xOgS`zVvP^*F$hW2Ne*&uR81frq%5G`t5=HYlp7t#Uo6S`Pfh^v!%4 zDJP^VhoD{rc@$L){%Qqn5`g_nT}(;L6q-|Rz?QwDxeL67#z`X=o{Ti!G#lgaJ`7=! zuhoNEefr7Ki39kGc&_i^YyUp>VNVwobqiT`<)=SVl*C2oEhVI`2x+P$7E{c?v#b5| zV@&=!ua!e14s^aKpqkK>qag+LiC(Pcbtf$V0A_h%LINWfqZTkIV{rm25dy5?G5}I{ z*X4G{;Ep0o_yjNWBf>wNz>87YMxgh=p!QIH`g?!*gC7CDVkOl~ z?=#A?0w7>Xd)*1~@&y?<9T0sR+Uyh?NL5jTd8cOU4~0?B)7Wf)91SK*0ehyi6>2D~ ziilOgPD;aZVAqf@!<3t}vfh0cxPtt0$hqog(H{|krD3>%C=VV4tAU}&)+q0>G%Gp&K_D39 z)JG{UsHV8mg9w&1pN0HIAvF12W$iYrI6Dx@-ShK`&}$Szp{ z*X-yUvR|>Qc`Y}1Q{5`|wdRts=B2st`^N2z$AUm(=?`@!Bl`@pJt+t|=|mh@>z*2B z0};397W(Xli*+1YXZSVQXSFZ*XbK-C&J3PXt7~XJHnwVaE4OC4R!8ycrfa>X)==K{M6JM;UT(P9`(8(xx6C0QcO+l8%(zvNLo*6qF+ zCKc^v_=2Nd>D(;u0^&8#!>>n)R`43=1fK)l%9oNfG!Eb&(Fu{X zcLVlOIwf{|@8+!A52%4BRo{})iAOh7VH_XsbBkl9Hq_!hYJvHUnLB>7s?T5v!TP~x z9QVjf!SzwMkb8~(rzgLnu7NQ)6f=C=)$6sr2dRdW&c2AR5Kc5-#E1#69sHc*NHhWh!k364DiJ*>|6|X5Iiu;a89LuiJf_zqY6q9?o#b z)b8+36~9eEA-AT^!GbuA;SnsJj&M(~wO%Qky5OUIsxRG+!+0Q@uN9ax$ZQ42po}o_ z9mnblr1~pMD(Q5ib~vh2$2rMc7pF?n_hLVFGmx>IMR~Gbd zen$hm8{{E$S|4(ZVdDTW2yJ%Z6+k&`}_6u;~Pc+h!2vu}{1~ zz`Rf3fP>wUw$2_=%?!b;3m;ifhYn4gvOOsH21(}bsXT%0v|c@x03(*ZG)2sbAMw|~x5 z13=mKw0OF%Ep$fT4vp&n_oPY5PW?b5lwUaV(B{xXRx9xMpe00_%ORawG}h)|(}^H+ zXl1jX{(&Q8==Z@S9)6w*tX{U}Z04uO8x)Cygbb#2zS}4s5J;ipesL&2{e8sz?9``! z$oDvDK72wThlEB=F8G@?;mKxBRHGlZ{Q6#R)?NBNGm97~=i%%dSY_$vA ziF4zqpFeCblDlD=HTq@T7oacj1cIul>n0`liIZ=(C!HO*I{cZ+yOP<{^F4ivS2ml8 zo;VZtWV!Do(}ygh?W?oZy01EH)-*%WK&tZ!s9iaoCiYh)d#=ml(W_xRLir1uYHbg& zOPYz#%xxyyz!PxnN;MI513v@*?PFLZ{pzZ2`#A(#=^TCiL3X{xe@FswXQ9nDdXsG@W`tR5YlrnF~fne zJknW<4xTCFPSQ+22^e6$0vY12W+E(@23E*u34tTW4v9``Ryqvu-KM%@;vFwQh}Qu` z$1P&Q*t2q=Sg|6upd%l#06Uw^DA+rcqQGWLrz)71K+s2*p=o^mJay-}W)}{Or-AAJ^yp|zU7q2CEm_}5!lxI=$OO=bh_marsQ1)M@ zU`#YG!l2?zMXIG;^dktF?UkF6;)`A9p{L`{_K_sotuKNfDI@i$Pc;l<>j$)W$z1Hp zj=^3hpKR9O#o9qwBN-X|S#bm@DjT@GSV>*&MMr9WLsD;=6Lf_XLsHc`<&LRH}AYw!@G z#Fy%kA}~bvNE}BI?`yOfm;*o)_GT3}nC9!Ajy)ZBfPe@8y8Ud`riuU$K^6!=OF{nT zXp&h(59`t5K4Q~@e~%n6PwtB17nvOMLS^$cJ7{)r_dxQaYv6}T=yCMzN#*-jRbY^% zK~@o<_a9GiOSt{j(M0U+LQ>ux?i?SWNAz=mTM+xiKIa;M!G4GQcNV|-&NX8s?2mcQHLFM%dm#FZ|!G(^O;$4FA6FY4B>~VvrX!rYT-( zLO4zMFmDb_?!8lerw*U~;Gg`xz0ody@$kv?qkJw5@-R*qV%Yk3z5#&M>^_`E6E}B> zli{JSJtN|f?;mknN9u^$PYWDux=jhHJieL(@Er9lwQ;B#V+1&v6NJA(J^f;>OllOalcktd8z4$xRiIZXjMGoy~4u5)PCm8QN1`^KHn5jym}t%qKkU4rMfZ-C!s*3X~S z&*#u25warnz2*BrnN%W1Jp!m;d`OIWP?$e0xzi%Un}ajPb&+U;ij~ry;Lx$CZd-st zY1JThqEY(x>Ah{v0e|R=p$~kC>yaW_GEF+%Dl;#oyh7=Fj5V<3wq!IF$EQ+X$4pZ| zZdRCfEV>&-XU1d=Z%)=dHUfL!|Ha=$g@+2t6_J(_nA0<4oVVss&pY_j@53UXrPCDM zgK~V`a9t}Q)LY7>U3Dh-=Dh#(6Zk(P8m;^EhXCXX=b{s45*ugjP-Sl}dVKGs*6%=g z&$1`*Yx?uC=*GD^t7bBr`=LBGKbGqP(s~TFy1XE7n6d8I>};G;5xc=cjs)DO>c#>J z7K>dfH=mK>RU65(eq5<#cm_&pOS|#z`GJd)oh2 zpZ5&Q#Ys0Z2DbI7bDI|*R97(5`2Z<%L`yRS3rmQ^6B@5jq+-REY#afGCa*2 z+Q}+3Tf_VE8e}Ae#jyBh*Tv?vOKvX}cDX6{_O4l}?$bYBsI{T7!K4_|A=c_@p3HX| zbE0@R^|_e}#pYk*V zfA}p8!!^WZEqG)#p%ak7;o8MlKaA!zP_nW&t|oDScTB(8C_uuiRZ|QhG2WPlA8)B^ z>mxg6oWKlHs7IaCE7HN0++vovT#_K2U`z+o?xsMAoC(K-jFxr4Shr-G z>5~A6<%Jy76HF{l%1B%Wn&QB$RN#mr@hC%Lj|?ZgOzO~7JmH)f_FZJgV=|asw6r;% zigqi!p-3==tUx6B?swn3VYg&5q_#C9tx&TO9tNY9hM5j9YrHOXxJQGPg-;$8bxwY9 z*kK&Vd#lU%ojS1r&qwOvqLB?PwWMsfMtiQ$C7eWX!ItBu4B-Qc{l~*`j`3ZC zhWoGKMMzq8dfCC3S+}#!O2Qvh2^877?siRmSv!Zm>oJV*YofXYi<}6XfR=3PHOF;O zvGW8z9aXGr?{tP$q7GRX=VcMTzYqa5J9ZZ?`B^sr#X@ctL8l;V3Z|3u#8$3A9K0}a z*V<-a8XcNug@XBbAr<$YxO1)L0K-NTeL+@pOucm-YnJ1T2x4eDII+9<%~6RLr2rOB zppOePkbn!~cFjVz_zC*~1n3pu_PA*@i5D^@-ZHNiA!kzglq+upS;*UaQ^POmW}Uro zE@IVO;1NptjDxsmHO63@afS~V<(d}kV^tQNQRiTuk=+x{h-@&jBoewj#pRK#f3jKu9}zc;}2>{*3ATF7@s>c&Hd~Bm8SQ zSDyVKnRtg#hY=0J<*0=O6g7>o*fjtRm0$z^O5zxok#U4VJd0Y8$P5ouW0;nRtu2dZ zMO`6pOu!$ru#JGD5i;t53f!d9)@yNN9EQ(gQZoo57I+KLEYlWn#O&G6TIwfP@;-j& z&70|ssOne3)w>=pYtHN{)~K^!0n+;4*0}#7eWHI;TZJoF{>w(lj9ePgmd;!2wtRs9 zV~{#g2tS|HNt`5sAI{&fLtInjWSe~YQKjG`oH}8~?pKk6OB*K$D3uS&+lG?Ct@hI& zAzDn*Ww?Myoj3#{CZ)@)P|5@)P0Ohg_TP!9OfUA^Xi_3JY^|(yjJ40glJd*JjMmlW>UuRBx=o|RN2JF3+Y5y}21ICUp zvt>??L9F0;oJ&GiCLw)A?c%n08C;&Jnl;k~EmKhyBT04mH->lHylnEm>@=`Uaol#h z1+2`r3v7Lo*mk-8mDX6@v&q77N{NPzi2=q>%l254aY$zZ?8J0*A}f}!jqy3{3gb(D z3zKdBb?S-YXRO}Ol=4smDlrG-N5i*Lwtm=gG-P!pQJfuiu%06~1gvmX=&->D#!EcH zSEVUPBbcRS*KPVt-7~5>?V8zjJ6@LjY;EgGdu@4t9bo8QY)1gVI{h#qk#^p7 zTVknSb2{L!;F;0NGLUQMJ9aLezIsIwh!6+;AE3ZURpV?9N8}Pu`YYN8*MiKW>MTz&>9gu}>@y6a=)`b;|_fktk+vPg}%z}UVbMtWVR|vo4eBYkv zZ1Oo-FHX1@z7ywY_)`PAfroQn6i3=!=fy==RsW1Sn71X0Y_-~&bL%q&%(VjclB3OM zH#{7@)F3%&tr~W3vl$NrUs6TE(qRBG0qsk$g=X{Xxux@RYopL^+7>?k?4|}g?6ajk zw|1UYh;(W#=+JPWo$F$Y?@oKT(8(fm=sezkWFPHlDCgN(_Uux*Zo`X$UmAty*UGbv zAWLE@EWXi-=j#1UwfD;fJzw)*NN>X!Z0b$tqy{9Dxte?#BY^DjK6+}39R43ryRVpk zH`LsVMasHo=P-L)uQyFGxQe~F@}ARlFk!i@?3w1hT>Wppx?U{s#U{M?<@2*MU}sA0 zPU}C{Ol|iZ5aO+_m)^5e^7GPJL&$gybh(F9RZwrdxDa2Mk)c^;;Qm|#_qyi&>o>1{ zST|m#?RUpwEfh~+a`N>{w*8KN-Z9S#eYJdAx8H47&E3e}0&L?G*q0toNAuI!`@Q|H zZ`Jf|tY7f$cl7g)ivc?f9K#z}G4JT-#1&Rm0JHE!iR^jQ9 zz`V7b*@y+5)E%iFQaTq$&KMxrIBRTpLmJ*r?{wQAAm$4nHUFLI8lA};%d2uEN2Vk1rZb8M}r`^mT=@Z z{E2fpre7@as+?rDJ9UIp)*!QP3r6yX%t&NLOPL>fZULPz_ZGYdUB03gdBv$EdvXUy z@LZjYI@0+w)^(gqD>2V^H2(_jLBXdJVL9n^0X+ea(fAjH`MSaIEP24my)D-l-Fa)E zlpOk&<+*&3tzWn%slxx)SnXyVRlm@I7wvUp1Tp5GzO1FcRj)$UliV! zhhA~c`gW<_Um z2UH6^b4G`V)Y+nV>}Okmp|4migas<*y9u)WLG?i|q8U~q@>#!C;< zBBoa!Q1tsSorlRrZ#m>)dd6|&;{j_K+Ed6??r8pn38}Cz;c9Hia%ZxFNtXAbtO#%d zU-}uT(J43HT_?##y#ig}B+DR4fjB>io#0CsOgfXeWF{`1#D$*~7t*ePmPUp+Zzj&4 z#6_PI=Xq$Xm(i{;3CLz0XNXH*?l{`!sim3q|9ptgKzr2R^<(x`zj7h-Onz6NxcrOLe2ZQCw`5OnY zOQAX8BaU|hVD-K0ArO35(zdg`d^0JYZ-~LpN`|pr+Us(Cd`s$KSJxf;f31sC-z{a+ z;RguF`XSvA1h2UBj&y(oMUquh0_6UJ*S05UrB(m5;<%#xVn5cJ+~<3^=LN&bsp$cR zF3&HqAs3EyJCM^}>R!;H>FC8QA9h6@Tg@t{!*5B&0B-kt_8x9E4Vb~$Ti1bJ2n^wX z)o9C)9TX2D8(N0tKhyb^<{p>0EzB`m$fFYGMREb2Ym~rflQ?bgb9A?>`;NVE)?f!Q zYR-(F4a|WLJqZ*+i6IEr;uw`vjZ+RQB#Gsyibup^yg2au))^YoQaUG|itUzqzNf~} zhzrB|SRn-8kwEI`Z6)~w&&bb&P&B`3>CuAPmEh1t%sB!q5mQPgI5qY&qs@&=^r@1R;*-&=L0eTw&h(K((y=^4ZvD}MaT@GtHzr^5Q`kG}fZS3mvww;YVQqB(jx zQJspaQ@G5rJ!ikBpP+VQls$$sOq{v*wBZu*9>}%(0s*{j4QS`?LPdQ2TVMS|7XYDK zxZ?t6mj2i}nsZ4+d!~PdctoG->Vgw3walnJd*A>)d{)kHfBl<7Ic*7GEGnZd=_i>) z_>&gWcH7F%O{E1=uD$k+#ky)vSI@RVtLBBnzt5HKTnrLhaHZK@fBf|iXxz!Vq24MnF#LN9q4;G3 zR5V1-peeqzN6w7TbBphmt~7YpIPGt{;| z6k9b_7_6ntb;o1sUU&MeqmBJ}CjTd2{jnnx6GENsYMLgIOp|$)yW%7D73pRj>OGhB zCtv@LmR9JV;7ZG9T;sr~@m%s005UdYCjF;h|M2VIc4Uo`_Qq6~zj)}@AMrN=r^azh zKQnGW{p!!Y{-G8qQyOxeb(KSoKQ7MfrBN%JM+DqW(~FeKS3h$mRl=%8R}>vEb#45L z4w%dRGefSfF&Vi7CucgeoD9v+ErLJ&`nPD2Jr!CQR@jrCR2f%}g?)Zfk!oEb)^^sh z|A@NwkFim9gHGkS#UJosv1J4AlvRCs8kOwLS#hhg=Vkqj)`yfOS{w^RiUKoo_BzSt z@|b$*XXqzK#14HWe~v>b9sW&LpCO)ybgcC>q*4TWYJaN6AqiwMw*B#9ujKv-=Vepg z52)X@yiz)Se=1iq#qY%$1A->n5LNoz3i%l=>7QzWvaCh1?YC>xDjBq{mjI@zM6kZm z>{V6Q!=Zkv9H2)e8e3j7 z%~F2AeL$0KGIKy;g`aPE7{QlIZK$|Y{LHX;USmwni~1?)|I^SOSUObH8fxFPrF{3Z z-EAx$vw+_u@i3MkvF+_kPvxl7h$WOD;whdmAFIYe;Fr7DMfBcYo@#tgy8xz!h37k&zNJjuE62y| z-iHfjW_XBZ?5F9^Tpr!Pn~51+I8yw~3 z_^Jk>@69sb@Gy(e#6Y67Mgwl9TO9RUpoTCYc-2~%&nXNV z$!X)O9+dGd--OtzfyWBSH+PI30*)s4P6%GCpn>5%7rC2ruu4G7@)Dh041fyF!FMUlNQ&ou&f5qd!1@0AsZ+*ZLsU7iy5 za8zJNi`mEW(7d`}_%_9XFVAUVwm@RTbC(r~s6G2LQXvCYh`c)T3j|P=oAxRRN(379 zQK)uUHhi^nyj5E9B=>@g$TRR9i&c^5id{DmB8itxo>ZmHU}XjSO65&o zw#6(H$C%aha*<`h-t32J%U=#1@6{rd!UN4 zJiU0a;TKu;Vio!Zw&q~q)HA2dlS*?d(c?D6^^jw1odQ!=I zJi;5KLmsGcp9B&QYCVeJcfIFpKiuVw^f1g9#BM;s;NT@bXqP&5I70zCLL3hs&-x75 zUEc~FJlvzhF}1j~h&}=@3SREv*}!fo%s>&w@V(YSN(O^OK!bXqDY4#;oGf5xMqv5K z)xt0u2&d9i4ypo}a4s$bk(D@W+MTKv0q>eGITRimPnM<4&)bjvr8<{ z8Fwa|gvS+A)ut&%hM~-7d}!VcI5cCRQs6Qv^(Lnwsb*qamp!mo6(~^QM$>`aA(-=C zIC1LYa(AM*kVb$zz@V2I2!uAIeb|9fJ`TC?BWcSiULcvhU7;v@P_g3zAA-INw`$P45-sQIN_9R#KH1ZsO76t(zsCBgs794c3 zeuf{K9mOH=sA=(WV#ZN<2ggj476220-S0Zns&i2<cxxlhk7f^_y{MmT4eP=B9C<*~;P5tU*{32W)^^)Be*=baGWe z76(--0g5$Qf9G)$4OPdR5p~L0F`{5C1Qebh1;DgE7nh0Z$ma&Y`qJFXnHyTpuY4mM zwUqu7@I2Z*8)w^tzq8(z`iMv>R#0!@fU*N>an5g1#Y(}a&*^E~CFRPYFcmKx7Lr&6}fx8_|XLeU~NS=yZgv-%Ni z6pKa~)65fJuf!=p7fFXD`dT+gk2NA_aO!pt1A8u8GP=&~zSJ}JM246=7(x+;G-V|) zQCJzLnS*J+D~=cF-WV`BLgz#(dehX!t{TUXG#R5Flfry=INm}10s@9MBigjdM12&E zWK0t}MbKdbT$RwmA!rvItOht7!`TI(G*jZbM{cNJ05^kGiguw#L{CRC>xlM7&Y%>SEJzS~JrTy>b*SFJ2_i{G z-G#}DKInF2i&+2lci+4@7sXz@hQ@e)?PrKbeCkj7W@eWHTF|(R(YM>Q&hW}!<65Y) z!$@vZU}_&|AE?iQ43wlXfBdnK}w>W>U#Hc-CDuAjj# zL<`|m`ptH_+Y2*nz3c?Sw~E&_NqiW+Ga<o?g9dTjAEN*l?%dRC}vWNWWmqn8`?QbZRI>t_@SpTqcJrCkaWHU_<%7 z{tsKlAWq&cZ_l_2E-m~Fbfc>gG#JdqWQN9t>v~b?IhS(NNEaTT^qocQr)h{i#uR`M zNLv21SXGBNDR47z4@b`oc#?!{=bJ)k`P^87)IXU_hb9M%6b()URub$nX70dUO!*3q zDj44z14E`9!~eVEg(>O40ffB)mvJ+WjE_EMfL=PQwsl^zTQovx+5&6XcRkPgmm^|1 z=tc^%)%d=P4g_1$sy*KO71-B0JRHGzv)Ch(QBGXMbh=-L;g{fHRSir=evDGM15C*_ zd?zT500CG70t^0bz-a=B32bN~DXZwqI|t%O*TIFFuV_}P>iGace;2r3AtQG$#b;yb z@t3~;WrQB2=4K~v zjdczRkS|>qxj)cxi6+Xu$Hupt(wNX5)Y!OCYt8(EJRf)i#yE9>m!K82YxEBVC{`ha zRZ46RADR*-{10gaxSCuHF4cOd2Kcwc`Gr3*vyX7|1LAt*xHOm%NpPMN9E35LPQ`ec zw0nsd`DWe_5|N4sgq?pGq+f=ybNJW4_Ya@A?exo$XPJl!BJt{&Cs+)x0jSRaywp21 zI7niUVS7>ofasGn!86KAs#OP*R5rC-uE^+7$6@xs%?k9|=KbY6bTX4sS3HOiFo zzrPu2Ef{W`^a`o*;$uh2G(dq|k1!O$0L{$NQlt&)%?8{Fj!XXqkpExodA$yvACZEU9z0|X-`DW%kXj=Jx5 zz8^<0LxLHoOS>D131Z9) z4-n!XATc1mh_&)nwfEWQ+-r9uTKC*tRhcVdz1NCZE8>e)UjUDV4e3Ov!V1{h@>&k{ z_{4-{`}$ZjfI6p;13CU5_f4}DPze$!zp$zOIt*fuq^8egkRk$G43lbF8aHR^XeQ96I1%Upn%q=+HserAy~7eS_coUM7E%>t!JaF*tOO%{=a%6okS z0J_yh!};N-(UI!urEXyTS6cW;Xlv_DuKf+*V*nR$b~~t>nWF*UM|&(+0{j(Pu>Hnn zHv{`EDaNg`5B;X8&lCG_7R@OgA6MUe$h%Xdw_W?qepLfb_yGuaMUF6q{qeNtTXtmJ zpSHk%YrkH0oDiL_$@ zdUlT+sNJr(&C=}qhGjIc#EArWZVJfS#!cajZSTl;ad5Zn>JnjX%gZ338AkC~Hrg%4 zh8=g9LopB|joo>X~+^*kf) zO{>Zx_A9%nybMyN$t)W(BcXOT?fM$ftpzDg^9H$>J6eE`z(Pkuz%JT^*8N4JkPM_A zam&fp0ggIe?3KYTk()=pM8(0I;pr`A1;RI)oTELV6N4QqaDgVfLojueU`HMF3 z#`)LsWv(1wvk65DS8Bep#mzo~|2xajVi+3>$JHdUt8#~Ms6EWDNl;{8U7X0xvEMBmUuKy; zS+5Zm?@{T~J#)g0h&ZT>K5t|YC=$>a)`r^ii~v|br@xq1lk>(0Mou9uzvG()FQ6%0 z0GXiejf1pvCS{n$!aCHou}!r>k7ZMu?sbyh`z)2*1Jz92F;X$NqIt*`D@h8D3H z1PlIui28)fh2t8iq>GA~5N_6gf4v)d3s^9|BgI7-cYHEJvj?mT0G8cAue%(+6K-ew zzS<$wk#YNuG^9H82ik(EeY?Jao3>FX5(CvPstP|TsT(W!xDHRI(Dml&)O9@N|48}y z&0o`TapsY5>^JRO9Svs)ghP59;&Zn+yIq&XQGGz%6B?ZMZ`n%TuNt+&HRh@dW=Uea z4yLc|@q02$8n}{HXBFYb@K$Ewgj+J<=6MTtHUPbF2lk5O_RjGWB#$S_Y3Ch(`0n(F z54_Yh$A8(8O#MleW41fTlR_r1qYbCI#*l5})S14YCXT0xJ#O60nZ4)hYN-L@Jtyw8 zpMuG2Qm*N>H+wzFDhMZOIjR4A(&>+6LWkB*W+P?VTcJNm3M-8)nT~_dpQa73ias3# zVYr$WH^lpC--TF>w;UoouW4yfot%>I9B!m!mUNnJw0e$^hgOo#DA!Zcc=qF2J`uV+ znfBtGGM)a&ZgR0F4FlA?;)bUa1bWs){_FV00B)n4%+KRK8<*>rfs?rLC% zvHUlFRRbo>FFnN;k0Zb8^GN>Q?0g!*Uz7BuL2DB2bWGa%8lt4T_5&UVV7 zNi#>EFyiLnvdIrHt6dvoLj(?l2m*|;H(mtH7KqGmlD8AGGYL|FkBMoF)%$!05vs3r zOrzM3d@(~K(L$V-NxoGbE95pi2~EoI#&?M`7vqf=zI6=i^cL&HrFqZSk5;U8RM%YF z6Yqop`xDq;p~${Ba`s2gROqh0;IduE8j2D?XEN7BbM+Q2m!wka=h|u3I?p7^W<^ll zcRN!6THAd=T(?qPfB~5unKR&hV5;S@E&1(oxU)QNG+^i_91jGz?iv-^nL1mXZT9d> z+@TTUu@T*8#sG=Wa2qn!N&GN&*eem5qdu=6hCpejd}A9uSBbIPo@>f6^JrFI5?ZC2 zsYlgfKVGPrQUXkdb;DtZ(W5b2l)BCfBmcQqlTjML9-l-V$<}jS5~woC*Vp-uantkw zrD0^+7NhdAKGfSS4-a`vwKLC%eb1qD&M=hI&6~p7UvAf-hDt8!ymkrC^mrID*|W7t z#>zxDXEOqe@vXOy`(n;5a7U94WX4T7W|lsiS@x0P8K*I@k~y=#_w6sfnD|0HC~;I_ z&6mw0Pfg9%Dnm%VwqCC%_wELvWUWpL1lGE)usRlM=3~{db$vU8Y;fKqmKj1U56KP3 z&~@E0F5A;rcB$Zh0b@*3{5rdCpy#dfwb*TfQB3ppl%Lvxhv&m6__*E`bJw&c-y8wC zF)Ib)&E?IycmRZO&Bh)_V8G%$$}sdJm`hJfMXDvUdHM>$KNRgeFj2VTyryDN^B6vn zx2W6(=Ov_}BZwD$4T6I=HLM4qw*wsB`d6=4t4$y!pOxc~G-@4h zOyJm-z-j}eTIiTyHLUrvTHPN|)_l;0V~1qn2TmdncHjBp3&v>S$OA;)^C|Uvk6IaL z+w_Gk5$N+&xA^$J{odzi);4b{h7N%pS6e%nKd_Rbh0lBEXLo6sLZ5%}fx6@n(X^S#89kO%n+*OUv2NC=_~c6dS%`&L8x!?gIONU@~O zB1Y?$;jSB98o+blAx(hP+q30f`Me z$lFaH39YX&>Oq@^h*h;hU@v%rNE_6{I8B5i^%=6BD3Uu;rEr%HhcmV+&8xhB$Zyn) zhd7OEPay0Ktpxhw7+6J9bKpFMzS3h0qdf@jLZ4&$0N9GYr>S4LZP@pn%L#T~Puw z9;9Bz=<&fjjzbZcQHi)993cwF@fB=Er)|R%CcI;_k4$JoQZvng@fLtuG6!xDdqRxq z@1qMnYGYDr|MqwEp_>U)4!}k>J%;Hg3~5N^ASsa6x)v6fSW!_tYQNJScHBAQ#7LlV z*4o#r7N|fi+Z`JeJhp3q5wgMwFYo(yVV@g5RmRQ6eQ`Wq?6$gKc_YS*=c%Fl_(~iG zuWiBh$z8r+C`TE{7=E?3#OSQ6zl2#`9yz7 z`Gnt4KCer4m3{E@&EEfv?4Qf)L_#TU4M}8p`tk8PFYj~mdXed$n8>jvpu|2`8-2Od zI_;XHJ3Fw>ZaF^74mYMyR{&WHt;7~s*h5u+;FX%xoUU?6^G=)yk;WZ$TrVg{xS!eT zk~&yZV%j#t6tK8!60TT`=x~R}7YC)P5J#^2-~@<)>}M%SX0)pwX`QwuJrpc(Ue{%R zT=g78lD0CSD*6nnh-4hJdRCetRND`1_zi^ttkmInZMgmq-cc73_VEuj4q&j$xv3kgsacro^c7JSz$mk-DL=)qnQ*1ZsikT%_ zYX;Vi%>&yKK`#bot@Ho$V~b^e#oo$@^y(=3uYB+LjpH@+HJE-{laR0`A-$F4K7Ubo z;5XLjWvJ81KToqWIaoB9G`Asv8d5PU;l^jL0Q3{5!11rAol&RX19ruA#}J8p;1-I3 zm-T8;3O=2E)tgKMzJ^JI>sFfN!$f7)pmerNF@%KtMMUx&z)Cs zfV41p)?X)4fI^W-awP`S?_(_=5h!;k|ZNZ=vlNu7?NyA z6Y<;_&MDZ{!jJ@37z`w|mUe($Ce`Mmt25-2O^70kT`@ILFgBX_VjCLYozNr}>4gJL z>=@XYVAcXck`5&CNHRn=)g*?2kYoc%GLp=jz?*cgH=&`19=mglcPfY7lLqnqktp)4 zXzWoMe?#kvi_K7cx`iH&t!JvfD+6gS=#2XcR1?3ar%2ah2m;CM1Um=S5hv@roJ25zT0 z<9e8*@8Q9h<0DLG{ljirk}HnR&ExZLi1+-Q9ZXA@YeMeFxdM*F)?)dKB)(6o-I-E+&&-~u=maN1n_)FMsvpp-E&>nLE zMu8PLi>BUZv4%%?v#ISz>S*P_eww7A&tWvXi4xcGd)zp;;qo+^q?d6Uem#yHLG4mA`sFuK!sTT&I^u)?m9_%>k9_@7eyEchI{3z8;W(R2 zG9_P2`Rv-I=j3bo>`3B#`eUlOdVExCgtnIv@LKx$=n=4lR}**j@#%*@`ytRD@}V>8 zZ|mDSg`jrSyln>?5EA9lB``mbJ3JOtVPF^!X#lzONQ+d7<9ix2kZ+1o{EA2pfJLt1 z21gr4w6X=2v2o5U>caM=xzKV{(wtWf)q+dG-`R1M8NP`5Mnxim>uOSB^Cnn`f$K*L1*MhI_ti9fMuLv zhC?q}%LZO0BuLUDKaq{>yKs!dlNXwPc%Wb zCo#UXHEI&;NJZm$UTHHBvFG~so4R`oJkl}9C{WBf{`ID(jaSU%mI*|tE%RI~Q^#Mh zD^r_-adB`zmBT{_kaoCG4IG9c2@@+xOpvIdOlJ~wSXFWZDU^oSStBeTLZOP8=aAJ8 z?0KQsJ`#<|=0_|sqHKt1MT?5sh`nh8|C zK}XASomzq;G4fKxCZo5DGampRu#+b_FS}_rcBoVm98w!_CSmM3fv3yj4I#h;?}s}^ zqRsfXJLYOkurceTa2_D3f!na}cY8MWT#Ohl5u+hhF#IgpVNsVZi(OYr7rEBo{MLYA z0pqZ3Q)9;N;ph2VCVnPRZb{K-amrURkl6+pPHRfBb@=Ar0P;C;79>uH1ItEjp)IQo z_m;EMi2-zbA!(>@aYGa1q?%@VMNJ0-N~h&GNxrkX^z;f4fUYI5Q3|nU!RfS>Q_{XF zAAq6YM46?b`T&_y!0FrBqVx>>;TR-!ww0ryQi0i-X3)ifIbg!(?J(mm0pjk(QRJjy zZ2i@5e?wPP!*!6$XyWPYjw+87mpn=kg_~yI6P;d z=dw82MawdhY|PZ`A8eDIpV$VP$G91jyiC%wT9G6Ge^W$l>w$x|W(z&-NP<42oaT}>*~v8HwLk*y%unE4S02uB(XQ-05Ve<`1cML)>J?4R92Zr6vD zx|e7&VeCxWYSurird|s$E8yDCs#S-ABSGV^V_gp!(Q0|3mC@lK(L5q(k=kLtX2O5U zXw2)i^&ny45h_3Z>{n&6rp>jbadjB0;qqbfyzo1!HIbuZw@cGnd^-y1;KVGDJ_NzCq9P401jBk{oD0RPH-NT^s2 zv%GqwKlTOX-#r+<0k-xv>f&wGT-D_+gil(br7q$ ztAT&kIxDP$+oD30J>pO?Rt3#P;JuK@&vz@VBVg+D|>9zgg<0DPnXxiFXGx1lN-LRbajfycUd`JG==H-2?W^ ziF+6MPHJiVIQ(-Zz{r` z$N&!{E0CyOP9PXaTi(%t)Os1)oYC^qwLLJt3vL06&8_eP2jiP+E05yqN6GLgCdr2z z2j|xv^oTV=jc)kBn!0h#v2;bTfW;jj$=HC1xctJBNG}eRZr?k;bQc~y)a9W)Q(IQl z54w96&vm!?{Cv+hxZHHiCE%wUpfcF^`F1POhw(bFe&;u5*Y3V%Wrn7<>tm+r!iMTLaZU^P}-?@es@^bNEpujAoSpbY>e zY05{Ssyk`%2u+OL0BDH6eEJvq)S9N)kYoi54!J+S{M>&x4gP(@TzQ;n!w(ZN{+EwF z>5(O<%l0`3Y_b~uo0tWMyx`G4`Etf$BIjC@C5vA8W<8{ITP$_My5tc7oTY5OX*c|X zW?UqPCGP!Jua@%V{ni5X$E0AASh5So48&ZTO14)=r~$S&t;J1M4Q0*;m(v`%sv z*52uQs;;b##?)$T0lyg=WUzZPW>)^RSjN!Svq&;8+G%P@!k^pWr+)bI z`W_4hS{^%^$Bw|Ci!rRmLg#CwOzc-vaTU+_UMiMXi9AbqsgH4zl#AbV2j{eP>-_S` zi%%>@mt@y=S){M~>GqyHw_D@Tb=u3b*L+WrVq7=t1nj_ z!)K;HBPU2C7(%2!841C6oiG&mb}>h$f@wH+pYH;ocX2u~uKRLkUKf$J=ChR_fQ07A74*&EWe{xgRk0~`ct;`l6;zNSQt=F}=fSK$8Ov8WE_w z9CnPf%;A=AR~9D17y>83ii{nKaG0^@;E3{x#|{aIxMui)odaZZm3RBeH+ku-H_mFc zws9p_n@GD7bRe>4Ms+0mL#`ZPL_x5sYd}?CJL9vMc2Bwwbre5Gg}BV!zG%9fBve52 zlM>DG7;$fjsCyE4Mt_(Wzc3{)j#%(dZIAA%cKaL{^(Z%RbsGJ5eDPW3PKVeE0sc)3 zo_=n@ckpVp0S}XZ<0IrRqP!fhh{VBii#S{@Vi&_Vt+~h_{p_=fJBF(b>|i|H65G_z zEN;6;GzRMa`cxu#Q?*&wYtXgp8jz3t*F64(DD{RGnet)->%FWMU?QvfbixEgFiHJa z9)3=FCE$w0DzU?vEw1}H#bqSu@Wb5y8frX*Yq%F`|0nM z>WH0+HZLw#&7=SXD>8q_B7rCy-%9f(RqgV<6!f*9M~Kjw;2Nu?&4 zkj*F%m5jCmTt(l?g(^Zc;glv5|7aLSma1=WHJs!mRH5^Iq2iTXcfDNwsx2=29qJd| zLrF3r`D@=E!BUSW1XbP_CkMekfqHAu;#wI#79znr`Uq=E&^kHBE3ASPZZU}gC8_Nl zZq_8w8l2a4yg`N=qbbkvh3S(~)##I-Qy!7)Ob*%R`P?fS5v6*tH%+~&p8lhZ$rb5- z96=Pi6VbfyNsu1$G5q-`%H(76m;7$l=_;=khn!?!jn3|{AW|W@Q~e1`z(c390RF)C zO`YH%VNUR_7$0DLzm|x=x~&vdy7X%f~yiRlORYmKHJD7(@Y}nf_NAh zVuK|;$(VTnZFMzuWJV$a3j&pW$EGZht&Kt8HO7-PrLi z%8zKDS5*KCo|i-z2h73@WQd)0UDCfhwYvwH*AP?pB!vk zd?TvA$xD7`(a>DODu|J)5R;qTL$cVF58TVez6FH+YF#kU6hD!-IHHI{i$nv&pwQuq zC55m__;)^;vCSY! z_z==ddq;zXzcLKo^y|*rVF#`9&dJ-8bKEj=7e}lDfSoFzepvCF%@*N?aodg$>s~-- z%$tyD@L}~0>`n}`Sitb;1J;D>gZK1DBc0sI3~@r+lCEuNX}w@e1^Te=RgX}G znk3Q@$tbgypDAXs+X&=fD7<2ex(sKD&_6j4nxn-seDlrETqyJDcL9 z4kV`+B@KfYGcT}3%sTNE6;Hic4$h7RfQpozGsL`E?%GhiUa=LKf`cqV)p9xQmk8(Y z1Ok3m;YC*?G&94%@6Zk;ZlDkDp|5Zdpc4KXs4Fbm>h4w544_+45il$AOUs~M1;QvH zD9r(q#~zyLHLH(L4tCyKH2jU}a+ONZ={p#dxAx)bClz+at6?t(#_a(|vLt*|b;FT% zBm^+5)HlUFoR^3SevJFN=D@fP;%q*^50}It)pKy|d&+COwHKsLFI@AyLHHiT6&&#o@A5qe_03JhC zopH#5meDk64%=X)Rjs>vM511n{q0KiVH5pCuMpf9fg808IL)#x{(DfXfy+`CFgu}t|h3G{Pa`$KW zhV9wC{=TS|1nkFgk1t=3}rltLa{YRPzi(Pe0BPC+00+bodsOQDm%1(&)W*l+{j(1*%aBUxWL z@{X1_uINVULHwN-gnh*^w1mSXt$r!74rJmXz_6p(KG)v&$JNDI-9P=96dCIN9b7_a z3emELo4j&UH(Q+PUKC&g5xFSnntM1_Nso|P;%r>>m4l< z6|J(W0iI$7yLc`<)tm%zeva6~*e*x_Kj-U5T7Z%`Dguh z|MU}@l^Ex=S}z+v*4+&lrK8gUR#xI{sUt#1sCFy_(%4UbV&6ag3HWibu!CXMs7t^u z@%;*k%JbTDGT-cNgqD^t{~IBT>av7Tb_EeNV%>r)>$hLt1pD)~Xw+ zE|=wJzit2Qx9eTqK3)%krZ^lJk2BZZOiDA{TPjE2_MnEx`74VpSM`d~3vvOE>-&P2 z3YygTb@QdWcu~1b<^H78}i;Xz4v(+MoTlI@@QG z&=r;V94Yebd7t~6o4J)dM zPXIAwRo48P@;~W!yoKCLRqU}=;(!bNrQiW|>JNJwPBQvv*PtZGb(z2x38Jtc`%C`d z97W>1r~?ABKPbJxuy%8xRTmp#VHXc&{(w1)Gj|d?n|f0fTq}!hl<$>n2E(e?_V9BN zCqq3pcsPjQp6eBkdsnf9BVa`rEDW0>eNjGb^&aEV5X<%V{0)g3H`h z+s`>nYvq*G5vTk>`+~v=e+>|ny09;_`eM-KXNZ7^mpw@*w)C{*oa~lX3yd+<^$fXy zaE0?FOBSd{)#J*9I+l8bc<_Dtp*ZaA9PS!iC3;!0d`0qBaV*f=CFHAXBC*`pXwFT6 zF}T5TA&K6kkU#bgJ*xV=wD(0reF@wQn;y~Btv3Y;iq2K0H!^u;IT)4CuE!2N zJ&Pd)y((z*P{A#2@xb10aAm*l`-8&POxtNi%Nthl5u2Z+^9R`=$Eux3`GQsSp(aUm zhtXcrUQ#?e&?5 zh<&c_*9Bat+Q&n`DX9Z7(mU1Nvmjlpio;d@H)(8YY!Xr)56rVWKrmI}(I802rAU0# z*_hUqQf;m`&4bF@mFls5){t#zdNk*nWQSp6q|A%QVA2j-s+M;SQq;F?4WFD`jgiG95=X)th&H zg1o6#I7_R<#j`k_;F67H-DcnqxY3a|-?X@pQ>1+%@HbWOfx5eBi%qk!lQPZY0*=>RQ>U>$cAQ${vrSb!Ztx18?f% zkPeoOXMcl1y)Wx3xBlSuL05FV(U^~` zCs9l}VyP3)qL_vpmL+rw$adnc70yDKBKAtmPQkWuDts{<>HiqZdDOrc0u^a+E>OUR z?@wqrvpfKstT(SE#0fZO9kMkkz%~BRe(3__A@i~y^-+= zl69$0h9?ff8TSC4ql+3Ziz?Vew2YHn*h zINr7373-xV=S^L$+4+La8)V3 zO);cnn>rRcVYP>ViVrNBt+bnYo9_VpL&_C00h-kc!JM=|DQHq`O1zW3NJ4AWlm>fn z-M&l_X(v^-*3_6Bd0#&LK41}EEMCB_oMMIIN^mcRDR?QjRLZAmc6q0^`Opj<6v<{n zL;FR{1ll;0MnIQ8{mA5TBGDb`0kB*4kIF%OB~C6_WGvBlh2CCBIAHOV7MFEB77fZ(gbflV+9;>?Y>8p<9&zGwtl)kfF<4mkk9Z8Fi>afRZJizDbG2uxIw7(7m`kbcw zh;ZUuA)E~MKeUIDc*#Rn?w#4W;N0XN_LMH7HDWEcsyIxcT}<#pjxbQuP}nP$he{z& z76buG38MpB5J(UNT|nL|lG|E=qoECcLB^iKmw6g-d$?xjEr~8VU3Mbr%=3->ccoTZVhW}L1{7t?H8ugkoZ9bzbA;*k2$A`JbK zB7q7>o}EQw+8t3v7Udz%-%5;p)%frIkASd_w{# zUx^KkH)aqmCyGBka1B3>Y;JYMAZuF)86^9I( zw%LznO+w|*c};j`R_mr&CKKWtOqcWvLLT`X!ec%|eu0zWKwwR(I5+LQ{#0|)=BNj3 z-8auQ-*rOi^lQFL$>6^Y=IA3hzE&XzC=^Bn5d##BtTeOQ9?{951#D}$evq&th8wpC zXcukZbu4Ng1np}||0X4S91m$>()dtpdK@{tND*8yAHZ=JReAb18$K!{@%~mG;Uf6N zG|=|fAu$DuZq{M6t$ZerSCg51;+q6*y(RfRxY@cdQCzXVJx(@x1>NyB|5uS{{+W9- zae0A0KP$^W{?_y;$b?~IiHh{MH^;ZEa^q9up&Gy3?Y^@YkIrlT#C`*oZxLHq4Bz0O zQ^5N45huTJfOWjUze7L@?+#{t;ay0Yd31+ZQE#1?RGl~eTZ<#rR4@mI%Lh)xh%5tH z5HXp5hu}0GA~^+boe;=>!CNaB!XH$5e-!^LsN{i1+9^mQ$0uz)b|L@?au9GobQ#Q) zL~NM5;ufXfL|N5jnQ>Jcs=W}px-**{|lmu-)Yd@-|fBWbE=wDyjN5JgC zew;}?&NN1*2!1QbseTxMhn3J0^H3KL^(IG0*=mag-HT#i2A!aYITGH3v?J|~=2Sf| zQS}yjb)l#mRFf5&c?ACf@o~p5LNi6zxKr!RgJFJFd5=vzA2h~-7z2)sk|@+sql4l zbHoJ#LqRt6rWb(AHD%}^?;?kRA5D4~{L$KhiF_)kS$I0z7gfMOgLZEmM!^yQU|@r% zs>iND9LZN5E^wZ3?~;t>G8||zwWzG@OWQvHG#zuTsdG4C84qQ#N^qvmuTz$;?<99Y zM$;U3Bp2|5`C?9$(cywg+6Vf??eh7_jG0HwQmEF8;;k5qd{(|v^$jk(N?fWAuCCsU zT}bS*42!{7HZ}{o&)cUz#qEFjpf)x2@8)u#K3=1f95`!Ak>qq({)=7po3-)0;`=IFDwd9JBI8(INPX-l4+a5L{5TbM*h->T^t2o+dtB%1Zmc!9hC99E@5&)C>yeOj?uLHsgu#R)HYBOUTO(aXav+I3h)JE6cX8V@T4GM5?{co4)G``wh1o(WHLpX&O&xvXLg% z*)WMCj^GvqM3teyJvnHEBE{l^z%ddL&f7@5P2H z(NxKFbbv}cZV_DIKxK9HV&cWVp)?B+T)ZwycZ2Jcd9lJN74<6v@Sv zst)^HZDcNDme4}yi&M3s30y;y$P$qw49#Y2#~?}~;HL=9fB7r8TxLDU+%bPGb;!!# z#d(Ar&v^UaYi+hPVFL@&M&VDJFMbWdbp2DQ19Rog|V1L)JXAz)BDmI22LKwRvv%tdo3TF4kZbxm++a~Kz ztCIHht~lCzHrBpLPEt7aFUaBfy{k9IXsUugmxuwR8RxLNCXIIzczNUzTUqAB;BhS4 zmb&MJyX+Gmsm@#G05}wTRpdJeU^iId_RDn=@WNd%Lqj|&5|?OPZnqBG>cAXJt5~XO zuwsy)1v|%4f)7WIK(+Cl6dYG1C#{NR1EhC|7`e3ShE3TZk>HN*7LSy801WQP{sCJK zhy{V5z>WA3cQubnYPyD~x>pmqd{Vj0Vju+<=j9ClMg!6~>ciX@VKj3bvYkoOdA!BK zb1jat&VzZ?!?^By@SUi;3)^vMq&;?`Kf*hPgq~fF^>O6prz1O35TH5nm|m;Z3P(k6 zV5fxzgYi#_itme>3lu54ME~7p1*MDKkBQZ`cwi$N;ED@7T3+ul)=O0!Yf^4E@bIT` zszEhIHUY6oU>HVhaKU$CZ)}d|1!)jRb8zYwK^I4n_Bt=~RlO^FqX~>12YHu736IBj z{y{vj%AAo)AnA7E(7tRc1Mo2N!63@u>y2h_Sl=s1r@or5vzf2iOxg%aqzfEDH20pw zOPVWUX9TDR63W*^_gLhMA*n-9jeKI_!`2jf+O`O3a6NA)Q(p_}lPb}e_82^VPovKa z#$wj#+JUyhq&AYcH>nPdXAdCbCR`?NOW;klK%|L#$iGBlE!OalXef$`F455s!=s@A!bWCeo>Tm@MTyFpdal zWrCBvQKDZ~YKO=lZ>{>EF3P@NcaD2UOJ;P3&;a(~X#bYIclf1Ff^&UrRL-COlYdG7 z|BGjmX|?#}L&y95E3zZdWBJE5e{dsjl+JCN6?u&+0RYmK5RUe_Ku5gS?6^^~T`8Nqj93nMdot5z?H!U$qd{kZABPxq^P}K?s+xr4V@p1VQg?H)g z#KSipEHCmMlj1rZLn^}Hx|voz_9XkD#I17tj9TMO7~cUe=;hR}so!f-QyQ8si*mf7 zf{CYz7tPp>joATpqN{iL^Bg}ZF(o+k`})vZ`?|XS+3#`*63X0%>Flj^E!Byq z0i}%i3N4(Kbxb*Y!z_<{8h}17-aad7eJm{c9~~IQcYxlR6%VfqobYhvpRev~({Xu@ zv{0@TDcW#orpGO19tSk>J)b82bz=Sb@(7Y8|8;2%x8=s60wh@1u)w{L3`+y= zA?|f^Q@U<1CNo$>K*DIwIoc!t0E@?#&wYRK5?TNLi!Z*Qj)QfLBVo{R@6p+H-vRSU zhXU2+rxFRsN+Eyxv}Mqjm^9h!&ULMT{WpA;zC(;+dX{Lo9Ry+_=^>zLNb)N~+@!Jm zLo)O}XyX{p1U~JQu?2unWa7m@hNE0)HHbp%&;A-aI_R^-@dWaicYBh^*g(aRkZ>@@ zAH)MduWPt#cjf`KMr2>u7p%pC`%Mp@y<^?ChSbR3>3j~*mLwk6OC$jW`B++(VEVABj*LLy_E*8Z`T$E^hy^CUaE1w`pw5W>)Lc5&@9{@uUWjF2} ziTk+exH(Mvl7^b%&E*-fH;sP{F52_>>aSd1$+DlBtL&p?F*Tvj>Z<&$N`huwx_b_Bxjz; zQkfE{E%}a_R`~;fOm4QN$4CARwf){kujvcQ>y|v$bxTEkhjSJjAF*dV&aF@yohkgP zXbg5?O4M{l;hD2}|Kz27f3b}Z4kwF9-n*{Xgs+$x5 zo)tUa9;wg6cXoRz9}0y&B7HBv@UZt&r>M`j8_wgySX#)`nZ4UNn)E!Ak>GUa*KmYHH?%Yz;ap}1?_^N(F*eP) z6P88NIo?I-t18QFE9dd8I^raj@6=vb%lIR;Wago^lI8%Jn`Z{xcFSnO%p5x(QG9fr zG3M92G*huvu6NpV-Itr{d+huOZ;6u}ldO7y=tmIi9o6JZiG;jEC{Uh5{F55?2roAd zp+Kt1yC8U>4C1mv^N9LrukMR=e)!1xKsEK)Gw`y`P2NMbApyP%A`;hB)ymv{emj;i zBn|^S$4FReX1OodjxDySh}$`5XKu4k!RZ*H%}f2L4bBB*95?wDZ8Wp&bS{UwL*t&* zWu?{!W*xrNkKzW?;K=?FI520b#i2HA3@WSVRHRra=f&2LtLl3|$dYyfOA0;Mr0P7x z8WJhHOF0qnW=68OWeq-(7mCd>8XOJo-LjE(J!_2z_&}G`=xfvHL(c2^NYW7U#R(?K zMjWZrf9J+<@LE$zST4EFG?mL$oJWrPQD+(}z*Iv!4~_L~qbK^>uI9ZLBM)2@ii%5$ zRa=)(MXw9W0wX}2pW`eSg0PVhyc_2e_`2Eid?UHlJOT8^Ak!(p52M{@zeST!d zdWky2ii>z305%JZ;#=8-oK05%SBo*7CVlGc_glsqnk*61_3-1(9x!*aWUXn*T8J%B zBaJyqg9Cm9Ji-L>9hAOh_r&MKWR~$b2e?vTZ=UZbLoPYbEPbKwGNkOgFma9@9E{6u ze|aefPj>{wyBZh8iz;kz`rkYvX!2Y`WW3^cq`W>itv-C`i!aVOt)O!w8tuQYHCy-y zkfuZlX0DzS`_ou(h5e}`f!(NM>zwU?{g)D5iDQ0*yEuFCZ;BrN%Si@AgNe0hV7MKD z2GG_W@K*%B;w&>RF*Xl5(%|^CPX|sHes8zg*T^B9^ zh%-$+9lInkd;mznk(RM`*kJ~vgVL7$(bHa)H>&D!j1a?(Z@-w`sIy}+uDG7D#Mugr zxsgtAqz+scrwQBC^#XuV3;|ZWf$hE^J+Rg)aVcve?RDbJd2Wgwti{CLG|XJ8YBF+3 z4Hv$BC0+7D`wRT)!HEl(=op{RG+R2_l!h<0+u8R0Nl4H`{-~OPRT!p8WMvckS?`6h zrX?Q{B&Y9(A|kAHn`4w@xZG#|O~d)c8gt)Ll_M6gOGPBA*KHT1af}PLi4kq|TpzGS zP@?1HUAJ89iM8oqH0wV%bfvDI6KTb4myfL$1uiamgOSZpw-E>*zH{xNsD@cZ%p}0y zjbZ@`okrtm%NxHmN!dz`8Y_8*T@Zx51z1$y+CGegq=ZV>;2ZARsB-AT5G)NOwzj2!4Ci-+9kD@Bh8NYh>KaUh95hJm~BO72p~4@^z{>LfY7IeC>*sB(eC^_dLKE`&I#5l2aBux8cD3IV+ueu%TtfxbMxk zqv28=NBKKu6MGm}>vI@`Uxd#_=^W5?>WCLmxP@3;vR*3PO&XI;6=-Zr2r z!B5E?gp@ZqSdZh0C^!zxb6E0WNx1AG?5JTB3(e0>erehV){(@v-qxIiSC4wmROU9h z<%ky#KXQ0^_+;%U0YYHvM-}L?8yk0hPe1XzAhG{$zlVMp^P+oik!a`J2hTf>Wd!=l ztKa$bkRK|RO4cy75|5uLM?T0tW2O>#esW?!k*YJ4x_=teDPy-bf1~G!_ee{BXE(qf zM{9xuIXgw(sKTQ5^|>nLovyb1mU&Aq`Z^-D5>EDKr44+(Qx3{vRv`ogZ33_)=BTIC z7ci(v;EVUZv_v&TJ9I>B({r6>a#cLMjhP2(9dFs4`Y3~@&PN9@7pZI?a@YrY zA`B99$nrK4=gJTz=|u=HfDk3Y}Yq`S7~!) za-*%3Mug?a*tnk;PXZqi)3x?M%>;3)K0;D6iJA?o$PavLT4=W0o&%0bYxa)3Y&OS>^;tXH;9aLc=QfW9LMr)~e`V0#$xz^Y1|HC=^8 z=VzI{ru$D&{^yk*)@~hVO57MZc=SGQV5<#0(&qDKenx>c%F1zs>Or zH(S6aT z@QQ#PEs?fR2M`ow0!5+R&=P=uzzZV!TLJ{^3^#Q|qCmDFI~%Ae41EUp;RQn=qG%LR z0ELei>|lvRIl6&tkO&J~C<2Xw#sKsb5&>HA@u6Gs1NN9&gKVKFYX@`-w66SMQ313Z zJ^^$K5wH~u7*N3XC_BJfz#Ku~4Uj1OyA1?rBftx`MmRabKq#cCH889I3Lju904@Zm z#0NkLpoIwtfGwSXA%Y^zU?}tu1I>iNqJTVM0rU_E2m*}+dBHFnTNnyt19d}>H4q>o zXg~q5hzPooAR0+f03A!Bf@pUM3H%*-8yM6Q7*#+spaUO(3lRdMN>oq~3=D^@sWlAd z4Cs$`6+hZl=&%wM6#5M$jMmJ;5@ZH*MxtP72LLZ%Xnwa5LaQYN0XxEgu>hH%U!Xz@11K$l3{T797Y6Aht!o{AiyFq9a^X7!4&N2nIq2WCx@V z%)$~5V4<}I+=b2shyXecM1+8L5MHnu6oJ+W4)|0U3>XTy3rGlIL7)i)?FWbu*y6WV z=1?aGN3>4B=%L#P382M6erJX-kdaOxOQemX`|k+g<^A0Zz(KbWMdv0E_a;aakQvk& zj!sGeAuzuXm8w$v1kPF<# z2FN~3s4XyJ{6M_@8;&5@8isHLVj36*Gz1?Yf){Wx0D`ucR}^dt_{|0mpupe`fAtVS z>j7xW&&!9-P&*XN0RRD;pa92#tYJ1bZh+SSg@F*^0*mmA5>Tby0s*Q4^~cc$1~!AE zV5W{h0GPOeT~KgGM;HQq2-Fx0I09+|g2GXN*^V%<9SUjYWa#z05?|3Cm~!_7|sLDxw~OCa}PziWXl+B<(L9Tczx;fMgdZ3P8}2IgP~L!i^{ zA2`6F|BfdBs3brD;RpPQbOMT?Imp%xWD7@_{kLW)m%lH?n z$bX;$#e$oU00MvmCI3&k0@=W=fqH`cm(Blp&J5{fVFT1XJD4L12*iI7`33(2Q3$YG zkN_eGq=Y#X7#cSq=NueBE|xGez_@=uMj)O4IR8IY68_^j^yFiXMB0GNfl6uvGzBBz ze@daLHTb_&`4xJpKu||VIMm_aNAO?$`T73C76@1n z9R?ymxv_ye0Kp054#*J+G6(YPZ~uRs^Z)kx{{Tb&16UMLOo#viObfhVI08UKhlmRj zY3A@B@%ituY6dg?<1Ie)O#QDo0{{fMMF}84K#_E?L?;#CVrQTN0I3VJM!+pB9l_=>6Vz`- z|K{gkK!M*zivlHH5NwKaa)Bg4ct{ecT0oOS|0fd8GfS|U8n!(UR zi;gsq8`A0jCrSSW%>Oq_{{jpB&L`kf378AeV`_pl`@a+5e?b0bz+Vt_1_18*J?8+? z|9fKm_fYuvW2hYpZUbBf{D*nKR0Y%uQDCZppu-D>0=$Z@o#6lF@&6pYKVbhP^j~ez zNgzTX3e4J~U`Ln3FW25FEN zHj9imf$lseRhQRI;bw1Q*Lf@uo;RM7jL+@(d2BXiZvvfWABviJ9Nr*rB6AsEn(_IY zkS=dx=Vo7qvw2(@JRi~k8NYi}3wX-PKDT3={a7Fi_!>bzcXMR?*>x8Pbh~^gs+#?| zT^9(A@qDQ|Wdiu)7lkg5pD@qb6vcXj_1#&BpdQHe(~-{ zWq)>^mJpqqMe>p$e@=7R&==#26g6G`+|Dh)S0)!JoACm817yQYsFtX@lmqxZB#|_1O|527ZvtO}Qu^s$~$~qaZno)~Eo;G81WVkOGTbbcpWqJ*uxk zO2Vzt5w6Q%5Pq<-lHA+3@ypC?kAhWnTHnUjEZ^r14pudndzU!A%mVoutmfSMF7<4g zRR%vqBS7wbCe;d?@}rQav90fOAS(|vfkFX1nPhO;2gLFNLK*hEtuR_*D2ZAFUbL3Mt zb=SnkzeYG$wWaL1u8Gg%N4j>(ryj(wNvuDLbRTO=J*iof+zXEMSd~w^7+;fmbM`gz z^+{XW_1T&<20@h9O@(w!>U9}Bl_(#I_Vk;g>$0RFQGP5683cOka#Y<>0mAJW#BS^I zAcE*1C56n}3F``MD$yZ2?U@v{>x#S~(P8EaSu_*tN|5g82~|BVVU>Q@bQ2rqEom z;KjtIPEB`Av2#a(;rZtCW`fv~0L4NR>L0pYDzRm;9fjtiKlBDdVk>eKi>&m1ycq9} zt*YuMLb(0VpC^c`=~OI6CH#1~t`b)_)=}(S`@>)_B(7mq@ss<+55u$WxTceiPp{8^ z7-0~`H{Vn$@uA)_#(Ny!O3_&oAi4!54UKPSQ7R45+cKf*iSHEdERAs6G6fMPbSWv7 zy-nCMV|$#?t+qTl}NgS){tSolhwl*eA8t+u9Dofb5v3#5~Io4TKRl99# z7n(G^s#IM!v5j!;Nt!+BtZq8rMtTt@&)X2Dr|6D-RA}-t%fs4k zy&Y71Px7kpm)btJ9S7VS2I~qUVnZ=~j=Ay%o6oAn#wz=qKKUAKnTd!`j`lfMw;Aj> zR*TOb_qlw=GTieMkys?}cl{!7c<{bjVpXW$t>4%1=!1ylrgp#k_cp_mifYLnr~X%S zSVm{5I|+*Qaep*GJXT*T?;DeqkA7;6P+B zDF(c76^t>-Yh-Q;4|tRK8Drmv$P(xb_)xYR-xR8mC3YV0WyFT!DMI9K#}4?hDnJRe zYvd@Z2K;&aphPf;Jk8iZfJi%(*r`UI;bb6C8ry`_AEI!NVle2Tg30Ze8U+^N!C-Yi zle^gvMRuLRkmv0t6qPlK+|GlcM%boQ9S|k{*ugLh1yh>Q8YSVX!EmIXDcuU>q1f19 zgiE_A!*R_+sguFTH`rz%98qOCilL}L1+#nPwaQAuL(!3bX3Y0RAF1dJy^U)(V-c!- zq~<*IE)5&TrYNfNG-dTmkVNwYs$AZ-u&?BA9r zuS&3r4d?Yam6fOLc(6(=J?M8EDo;IWV3j(|>-RhWp78yXRR)WF!25PZ`b|kTxjXp- z{`?gg#GY&lVD`b_rxlqLjciH+`Geu8iY$gJHf4GCq3E|2A6O(GsA%O6#gtWKb9+8e zHDw=87^=t-ZhWBTkUyMqP?0Nj^+3ayeI(;{Q`y>_Uw*twCz@G$>- z<3Z)8*H;|ISRCV7M6o6QLR(O>B;5|~*wS#PEmJ01y{~GqWigdoFuo+cUPNqp%JG(k zEbWWIh}ep3p>4Qk(u>jJ*vcZOZEGm4{zPAFRb}P2t$mXI%uZ}|J@ z(2jj{(#sX@xY}N)9fu5BgAKK~y3xuVr_v;YZA4uC%<+y(3$5XPL|nt06`@_X!6d`u z;<(0br`=Zzv_|KBaZSgSyPo?=Mprv=pRbO0-`t=xzCjY-j3d0~O_pqo!xP_f%X!b2 zi4Kad9^Xn{wdc>5484VnZ=*li3zVfZA&ZP}zc0KWteI>={wcnL%XvQ(N@q&lAKxid zwI6PuY)Zcy|3&g-Khm4djEN+nOHueBIy%|xK2O5eC(Z}&GU#9r)Dyb3s}5pHlVM!Q zgdT&FgSZwtbH2!gZ!qD*gu!HUp-&0Dw$6u13v?Eu{Rw?eRfj42$rh5k3H_cYhiNzH zEoDg(2mFPPGRRUa6?qZ|!<~<^nCRh;)Dwqds*bYxQs7UJiNh%;N4c`}R+^ECBiX{o zd73F!+Mg0fi=2-Op!C*y{fT3hRmVm4Db@zNiQgMfjz4+R+dxT@#yf;hN~2S3U_40^ zz0N1)8T7Vr^`yzss*}pn6kA(l($vh!Np%Z7!ag!-dPVrOb}$9u^eJg(+xfJ9fgb7B zpEP@1b=tU}g7n-?n!7qV{d|ML&YL889!KP?g)G(1pC@_YmdjZi6N7!Qdh#N9^;rjB zs(m;zd5Qk??29Y|DmpTG`M${cSItyZ%%|iPE|>EjD1$>nfAXqO^?9#-szb_d@|xu7 zdA~P^^{HR>Wk6RRHq_j$`6Cni|;KA&ZUtl zTQHH!iNRFo%11+%Id3a`?OaxyQ!y*r&qh)j2;UlX=fcG*Za|F9xFU)=e;i1hZ&5X8|rBn zqt(~PrD>kq$h1rRnbYgj7RJ~6k!e3yM1GwQ0?#7)ly@oy1gpqc07xcwXCi`Tlp$!Cmz$mbHAmGGREsBjPhV06Ljf%$8GRlu>M z6TscA6lJZ4_<;T}(%@CE+*MzHfKWj5jZho7qZ@doxN0>n5}!!K0g@6R#t>+hX(Oh3 zCA%Cr39~VSIXD6bW>8=q1FVa{>)D@I!sCEX8~{?qvbD$sIRCdBpcVpPI-tKvCr*&L z4a^m80!J%Ju#ysi7Hj<_0???W0yqTLkZ3rllcSR@0t_{A14tqp@N!Mj+WTtYv@P7s z%m(&b3<50^IQlIKpd*0AFR%(hLG1vJ3Izu^PzT^w^dbfg^3Sm?5{V#K4=zSawP^c@ z0I!sm0*3$_?}TuK!U2hY1UonaTo`zzB>In7U>ytK|F#&-ETN4JLmP_#nCE|t{oMrt zaL9mIIFN15(7#4*BnP6!xm%*;Z6u-10Q7P~v%~0}gx}_(kWLQ3IG{cJN8-OcjFz{W zQu-hAfNcmzFwE5y?)Z;Wfwe8t#_6wz&EU>(2Vjs1Hj*;Yl5N_6+wpl9pyiqaJRz`L z{JnEvie@m;LILmo8PW&lfK3j6D32PXspRW&vf zK-2>pA^@!on1{5p1K3i4`2g$#q6xj10!A|vjzD0c%+Zv-1I*EZ0N^tKLc;~kk08;+ zm@U-O$q~#4>^T5zDBvSofOtWZUKS{*g98CTRsj1Gz;YL9i2%VJ(4^e|)f8aUAwWwM zz)4txIx-yFlkD0u5HM@7gE@c=FtO;xw*$!3$qsA^XiNaGctSvX8ylFLBfyYa!dw6< z^$$AG7zHQ?P=OY}W(5-15<+(XXbL`{1Mo2l2s8^oJvdkptv9eQfaa=!WjUI_MFJ@R z21sACe>wp13WwPMv<5(}n!fRf&t*y z053ZO`RWF;hML1{5O8axGuYl7ART~3KEU?=k17CzfOZZPg@8JlflO`M@_v)5K-=F- z`G0c_dP~HS;BR}lGn%bOn!zppx}ER;ZRzjkE?}e$5RE`;0(&NwP7Z&&@c%C}|BEeX zXf!C~eC*8PIBEN;(9AC?%JqKHv-*C`xq9(mZ;Jh}c_cu7?L87q86OJ^^Ce z%}q9Z^YRm-nJObCYBLsWDtlP7FBmq{=^8*CDL6%OTMp#s=eq1YRprgf>?*(K$#Jio zzrbp@yub1LaCQHzxBytEP`A{i;{_SV7;wuw5#)8*RT1)PBuPZyi7mOVmWQ|?(%x!ZnvHZ_vc)?a!zEXODM9i#wSuBmP6Vl_&Ua;L=WZfLGa=~As)6Nf{k z?Ur`-L1Uv9$*Y+fX>wvZp3;W)eTg;0Q8$5U%A%A4_b$!%IC89#l)aohP6K(S6Q?s) zmet~yx+7B=*u~r-u1_He1Qs$Y3D@;%!sN%2Judshnv(8w9Iv#zJL|6St{{{|obM0h zbGaF|w1#)Kbw;N$>0b$v-_qOnVI>~g_}lS$~f2JBkYSN zXj=KSLz+^p=-0kJa(2Ybr>u#mu4y{I$;K+zHlV2_DZFSbu#CIDX>_-ThJ5!iY0Gt! zEyE6NuEa;KkKQg$ZE>p;?2>6qdcr?Y29T>A?8Tz(h4BK=@KnF?pO-DIZ5oa^z) zGY>ZR(S=`%BCqRiU1C~gF^SY4xY7+s^LvC_fy3f98M;TuUccfc)ls~1&9Cy!?{U(j z+?Dy6VH?tblsUzcIcdwFo_sDlOScc^;lqu@;5{anw|}k)dwEtt^J3Q9m=Y;_jsdDr}{k(&tfPRxkU|oxds%G@H^fT6} zp4(|Q5IP-si#H~|?zdjwN;zzjpi^_69dR;sz;Zem2#T?udB0L3Fl$*UPLkMmt{$H zZjYpYg}e^FVtD$rlAmgSdqLawGZtY1;`z&PWzGs$+9rLOC)-a-t@@3>Z;tr7QA%WW zW7QVrCwA{l;;*#-BwhpiY3_uW@;oMIVo}Sk!m`weo67hos4!2=U>H}B4+#dP`09s6 zr;RVQKD3+&ZFBr}1Sb95K@h#Rg6$%8a((9UNUwJ(?{Tn)%_PIhBt5n-**BW)%Y#O- ziOm7Iiu}_E5qXJ3$g$CRf(Y_i(yk7y+Bzcsp6xB!Y8_HhYuc@w=bo>H{YNxokqz;q z4bN*A3tk7tP~Xes92>io8`aH^oTn?18Y_G!u%GlrFV6ktwS#<#pfYP?%ZdC0Qea8m z?&%hz&<7FFa*I|f=l6acV<Z@cg76ZM}lVeS49L}tR7e#lZih`zYBE1 zDIPxwFNsUYq~ViFBYP*}{pRZCA#&!~7kb5orjNJqo}>!$nIbV*A}EGm7xF#%MrEzx zomarv*7LAHSN{EYftJ4dx3}SipsVlqGgb_VOm0fW1~lMTu=pr}n>;FJwfrlDJ{68i z`qe-CKH@Ad*?sY~pM@oabw0EuM1HtN!oKny;;XVne3&iRx6-@Nq?9=SsMwWG{F6AT zU)&wO&@!Az=C~qD73<_O0kx-7E|PO%@8jL0mUgx4tp;|A*+5Z38Z*_+g3vBuCx!CI zG^$!}tZ-;-{bRB%ck^5}a`TsckKaTj?#9wk3Z8Re=V}QV1TwM}?&S3&SS#w}Cw41z zh_#xr1OkG6GY+Pg`>Mxu!r+y?~n65oPF6H$RE?2r~&HKB3E`PFB6E_@zdzR8edevt&>ezJ^SSMs2_uaZwXV$? zUaKp}u+8=}v_sXMcD4g!=!jI0;o@C;^qo3yB5%rR#j%gy%bW(-Rp}WQNwsDl4>TSB zf*#+6owatykUjS_8nL#!usnVtpxq{#?_{kCnVTSY!d+>7okRei74=T5O}!HePx!WZ zZrZ3&_%(mR$^R;r{!sJ5iFZQr`#yFY)B8*kBMB!Oi^uwW<(j>Rna$67%tz%c^x2&y zZ@2AaU{E$M`>J)WxkNB3nqib$&geB-7E*S((j`{mP<|$FI`YcdWzjWW+A1@Y__QW| zd0_lGMy&AmeN%Fz&VB#vCmaQLOeY-bXbLzJ-vUo$f~0$|G4H?{ZSr%&#~LPVlwU_E zeM_y?P;?Y}BW1PoOr7>?t~tcmBzaJEJlRDXNhAEEn_Sfvr{z8vBg9pc;8JS;)8-Sf z1xqD0Qoyc>(sXoW)W@yTt}v%``oRvS7pM0EH&0(?`!k|7axg2SP94q7oef}FN4b6D z#gRUrYV!m9SaDYT;?0gw_q&LgN$V!;)C}75(maaZg8Oxes;Y&4Fhv8yRhf`Zev($* z?;&fI>3hv$@Xp3S>L*?A;h2M&*1fF6%oBwaI>c5aDGZ_sVtQU=csvDAUDZkj<-Ex% zQK5A`O9*E=w+VaS8r_E_h1+2m-|-fT{n{vGz9?rFu(yQKEi@RBU9P;Nc?y?$#MJ)b zZK}YJMZ2wD0h)=E&d#B|W9 z)Z`}@)Hb^Egh1=dm;)#NK_!xI}%RjrSKf(?iOrPa#HL*V=64q~oswG17sDGisAhv-?-g zuFi8;awRuWAI#Lb={88@IX_8hs?77Ci)aMbg>&t4MH2SX$4k`^HevBO#(Cn>EE*6Q z@O)@-_o2u6(TQlP_gOHSO4Ga%v7IPU31^R560jQ8eGlsI&YFomeV>swL84enX<*dk zyfRrF;L$&LrbbYvFNw{p67-v z=2Jnu%h??eC@?0c8mT$@a2QOnV{lJb#{1-oEc9K`R@2riJY3AkD_VJc1Y|skfF?hO zHe9ZERmHKQ|0riNA5LtXf%$VL{6kO?UZ!yUVK8>hmma^n3-mSO2aRNemh>c4gPHN; za$77%tpX|j-OP8%v()sl^U zo&6lNJeTJikkkYz6QN=WM-uOJG=vwbM)~k3e&y{v5Wr4SoD~eIwivcmTA-UMSkfdh zIw7(O?MpYb0q&lCk2i5xT%B|un{1t;ec8wd`YGZZr&T^8$yN-SHJ!39q zdP%EEw&-1Q7oQ(K_w<9vn_GKnKRO=A2AU4Nf0*peSQj!u(8(QQD1U+#kED!p3-YgB zv-HBBPtpI1-9fdxBND?z{jK-$+bbjK%hm8O#E<3C5>&pNZD8xHaQFbpZm_3SNa?t^g!}54u!%pA4k%vTgEWbONzE68t_X^rry=>jaI=V=wK3?Wlh5{?|atVi5mBK^K!DI>j+poWYdI|M|| z9p@_aMe6$w!BN-`l)g-poIclg)?DB8`y7mfmy|YPU5P0zj`&UsIb6Gwf6s7?+L+w+B)vPD7zQ@8kg(=?>0ZC)4XVw zOlI^R=bm-&Xt4f^bG0)UEsD{^w~rI;xzr@@>Oo7g4+UPXF9K6bin$%ex~sLSS9Dmg z^>*m1kG|#)UQ}&l59P$Y$e&5Sq>8$g^Q|}uf?@1okZC)n;T$4mu_mj(=OO82XhzNH zIpLMEsZ>`iIzl?r6@4i54O=x`gPB=MtI~aL#6S5K4R-Ep%c{M5ggjI48kd?Tw!KdT zpQp2Fyo~7_T4dQm73P>M;|AF#WP_pWiE^#`4uqlYv#|xEPuk_ebuDF|dfV$1WbEeN zX}534k<(yKM^yBN{B&|?_DHa1tFzMKpuh<<)+~C}*jrFbTGx@`x6;VbaZgt*!+~1u z`;%8bVk?59iSA!cE1&lfJjF@ht-RB7dem9^Y+^vUj05L*%e_@|=#D5Ns#-&5tVrzX zSeW3U(A_jG>=Tv1`yGN3mp5mSlR0XGf?Yll-^uI%#r{`?Yqp-1Al!GK#sA zs~MAWFvlxxXl-AK zQk%jsY8_{$pO~&dsNWIy~E?op+aX_l#O0Tfv^om8XAU+S8iebp!o!+jr0 zpas?5!_$$ty+PA;YeCd?Q27mSvw2HYkf-V{tFo%K5ray-=S45-^P3A#GN?A-QDRmQ%$X1Lj|8i^B$}EJWJB0r++D5_<%~itH_WZ`k*Je6)QBq z*zYGMfh<1<2~IhUafWY?j>Pb1Z;g2|#m4((8lRglg-Fg?@Z#-zi*5uI@q-)V^b}`e z=Wj-j>JIeKLS&<7Qc9Rfv=dy85)gc1P7j4Xk4{gk4)>*HFlsGmod9c<(~`b*E(ghM z1KlqJ_d(d0Kjtn0vJ$xMVl3;%YQ?fgNJNbN>ks+WTXOMhPPt-59RoxY%@ieAqAp9` zdK6~5d~3MgrizKLjU5s!s#y36pKOn>wNtAiIX@g8ekwI#Z6fWc$}oD)u`^0i1(}p% zV}ahq)-`+>m|$EuDle%GV%Vx>Vin(XH!S?op-JklYtM@0aw)_klfzZmksfhhTk&S# zPCNK17(CtnWwL&6|Lu$L$xsgCg6_)VJL{%nZ2RTSDmm% zPNrF`dN%wNxshIJcg*lG@rY1>GBi=TAYSTWXh=%x8F*F5@9QC(JM?`)@D5cGXBow8 z=pA_m5Uz^;&yMa3lagkw*>C>4-@-&{s2syoJDBY~9~TpZU2EP+jHee82_o3hr+pFP zfaeN%G7}a@$?}=a-~r0`&B4~@_})trf#+IJl@bN_TfbdAj*ls$U6VCqxV!S<> zpUd8;wN&g!T{x&~++poXXUm?BYV2u%-(j!p(Be|O!DyhKOcX-3Z_^vvqOD((t$SyzwV1=86(Y4}Ya@%dsvnRH-i!B)aw&`M^JM_>Qd} z*5Rlo&iAS3a(#iBaxc^}iBZl%6=$maGgtU_D4lbKxP+xE9>$5PCztqqd$d!6ZNt>Y z7p1$8@$HNeWg)dHiX{TV+HJ7j{1Lmsw?1)H(tB?+Xdt2RP-+%alJP~l#ihoyn~z;% zWsM)zLGI&9{szK3kEQPbe-r&Gj(M!YU%b@;sslw4N*qySua67v6mV<$ zz1^C)aW?=|kM)Zt#6UyTSY%H?b?4`R4_UW%!q`lq;`#=0sIQA>C>HN+;iN+@ZKt#? zvKgFUp@?Aum4&)!4he^lGX~uU;C)`E&+1@O=ebGIAud~q<@Ai!m3ON8Hno%IC_0BS zM(2_kzEcrh&sy3!(*?}P8wqzhX!@PB9wIfzD?|qGH{V#JH z$V-+X;!OO#v9e7|mP$)^KV9q~vpt_aq;9&e#W>@QpH636aZ^cqg=qe)aG*_uETNG# z0;5#M#=V5L>Mq?HH)-au4Er5x1}-`5U3J~S$^u4P!C87*!Y!rG-7o25beFC+@H~s% zWFAb^U^MPv7KseS@bqp;1j^muB9LQ4ZJ)R{%fSMRIo@PBLSl%^%yh(1xkIwNF%h{# znu0vrsgExQi-z>_A0OTe@fA8El1L7*cxhSZ6Ouq%dR9tRr8q1OmB8AaWlLk>?um4F zgUHW{%rtRI^GIcVd**R$b#ipH!orqHl3UkgK2W!zAF-ZM0&$_Az%5KHx_37yT&G6H zeB5&a;npd4-IF5^-zF2bkmYh!3J=0v(k-dO+>O|LHW$x4q@g{rmdA}dfv<%9w$oC{aW-+1TH_Xj7ocEZ^I&IpA z%9=mxR_0G}{Fpln?R0p?hzO4ZSNdu=U|izWmb&*N-+z#ZM8H{n#dJSM-cNcN*LH)W zzNry>D)DkDO@2_JvFMB)12+!_+ynYi5-O>9)OBkvjdUVzR}@A>7V;fQ1bj;^fX$MqzR zlKy!qtOH*kmm3?e)6EsuA9ooDWi1Gp>F()V@Ka+hd8XD@PqfgVvpX1Hp7M_Nd*x?J zNSW{@kZhJm@pd^>l#yhuy!JG{7QyFqy~Qgn$stF@AmGj3;cyqHC;oJgSl#HEmH2^z z9baUo07kr|y0k$`LPjnpVDhqq_FzVqU$zqn z-b`a}CZzRa9@~04Vb2-ec>3zx9p(RO)3hvIz4MB*&{ab5VMnI#x%S-cJ-r6fJ;nes z4=mnRl4dVO3EEHJ-?j^cIS?*RI|n6~x@%+5qSEsj-1>*o?@ES_bF?ThV&3TwZ?I^w z{QB0zfOi46*>$$vlZ^a2qA5dyR;z)yjzK40H=sE&{4;;lyu8ff;YHtNh^xlw;b

    GONdiI>V*J3r3)ggAs#W)OWlj`yA%yiDs0?IN@*(MbLJ4)UrJ z(UX%>z&lOtf6uYD+0(%8T7;0>^%jJ8MD-@~Cx+0yq?@!2H@Eb>azAwnHtB+-2^2gC z+ih;=^eMZD9jvTqVv-*9Y6!^#kHT8H|5@+6ztK%A^Sq3)-KHS%<-;k`&tj>e!ICp= z7hVfcx@%z^qPl5`?gvLXBcp}>+tTGZbae@oMAYeokQt4sAB#a__a*g-{;IVRM1leahcjlsH{dg+9QQr~9^UnCw`AE@$z<^*sjb8dGQtg<)R-(z zhKmVYs-v)2sIWrvVO$b~|7F`_uY%R~iRLGbSSfN8hnV!NeGNXP7{xAM;XR+RUkE>` z$>UR7q+Y+ZMQCrB_GCdt;@+~WO>$d6E8!3WVUSQ=C-?G=Z-Xcy&Or~2(~b@{$+puc zeIN0KuB4Req^8cBMxw)|1mpT}MW46+_zAzECwZcHy}*=I%8^Awy?HD@`?Z46NaFpd z*z>Evm4(~0HqIXWsj5GWD7(fQlgT}zT#Rgtl~&dsG+Et$JNji1Huz0pZ%uiw8m69l z&0Fq~o{(x$#C82CxnsDjwut7y;IPynKlD|jGBmtmH?(Lod4s26G%ck{mt6ZaluX`Ay!f!-`#mbf#X7E%zoiE zlwDM)n76Y&G__4zH~$Rw+4Ltz$D)J^O(?F~1l#_LJ{PuIo?R1FiZ^<3aE8UD=?M?+ zRW#kv6ViTQFBj6^(_sI$e|nGGE`>YyQ#!e5H(gS*b602+Ps@+Z(!%v;l+zs>y1cKy z+V(~64q0-ZJN!CI66q-2qKd&SkRnl94>+xQWx>GMym8dcO`RUT>&8l*$Z%b@KAD3; z#0p?gD}@`jTjx%ZhYiD;XrM$%g>THJA)TTeocNX5=`K%)7qHYbN=e0Al@ClkQ;p89x|C7L+4q*7vygZ_q?O^QEXp0mnXdx6u&|CZmb|EY~+Z zc+c{s=>wmWPSeG$XtZr?a@;nzjA{Qg0G*5#bglg{vkS zfxwC}*!BC0$2Qv!E?;1F7T$HW=Mu1Z9>#QRJ0W*}K%dYt zG#|^D_Xs^~RYz$VU?%$zcmmIdaG17_wpOg$t2)wFU)6PBTFYm99KgH4wkzE<(>CB8 zfLr;69XmijLl8MCB|Z0vHf~`;@~Tt%`iY&DkbYMF9opIV^afHjf^)A6zKTRN-(qQ` zq3cc<9r&t!nF2Lt6YdB_ZDuv=Tm+QVZr>-fPhAsB#TxEV`C{Z_h0Vb%J%Qv|ovSCY zn|OTI+=WB5XvZd%+Cxd+bd!Si;|JEHz*R+&n^!L%bYj^MXDxIMc)9bDdfr;{f%j!O z2HHz8(RDvMsqR%NR!BLJoIxOg$Bp3^WJo;-Hg^BeCd5PgAmq#GeJn32jT(@bG5x-+gXmmz0&3)#f1k7*V@qsr#n+n{md>&?#>ELPdSxv1t z@!jlFg$S2IW!gXnEM|B>Px}2px~qN9nD5DS{EP_e>;^#|EimU%nPQAw^qs3dXT4B$qVc^1=sbMmz=oxS@Kk1y&6(_D|IB=rea z%(*#;|>i3NP-a7p5;UuVbc~ zstP_MEz)}AhH$)vVtvO~BsLW)C$^7@Y)Kvb*VQb48#v$&nqTkoyfY<)@DOU7uJ zQ}R4Fam@7-W^WrPRb%~D%i=CHJ zUe_pMFU^`9IcLeOiP4XyIE&YLMV_)7eaYBjhSa`J$x|!%0vEDx&Q&qtiK#|a&4W#{ z;p$rj8@vyfv8K~5ET!KzPacXBGAt>}k8B+md8^K41PPfq?7haLc;Cg0d+he0h43AR z%HAZY%R140s%VjDrKJu}T%MTv&14KqffYTyLEJGoia_w>W`t$uQn5{1_G7Lce0PRDM~wEQLY7e zerwA4*wa5z6+vL(-l&7pd~E%)ti{cg-?gQPtVWj5@;#{n>CJL);|B4}_j-q34cDAn zI1hae$=)5DC{L$<^*GC-Jnui9VIIrae>qDcngt?K4qdj?)#&fkFtuko_V|Tm^5C+W zGpJ0%bV2XeW%XPGpHy2V=ZpNsM?K5Z-+naFW8EKxyxR;yD#$U5<@Wq;XKuUwpWb(q?;U$RQ^%VXDq z8vzJwr-v6f6;D&*;IX3}x8|BaI&Z^+pKuN?xXKW%P8bPGZbFv^%rbIf8R&ekE^mgU zDZtM`o6HkIS6D(~h%b(fPL>EPs;SW%Ji~`Y1f&rB_eg)qKPn$??g-lW}z1x_^(CBX>jeO(;{0Nmk%eMCoOk^>e$3ocuAv zDx1_ip(V5Zv|u+~ElPu7jvpj%HhXCwVYD(%kGi<_d|4d}%o4IisIOxLOy3(AOu9f| z%#p-Dp+7RHH}7%{I*+KvkAEv$AAdls$KQWSde%TH?4nA9d6BeLJC*Jz_(9#g&qz$r zjp~Jyrbzt|^@~dF<|lGy3=v@o^NJ^1{0#a>lstx`ne8Os$-3p|Fo*ME+;foEiVm|A z_z=7l%bC#IsG1MqOe|aoao;1Hy z(CbV2q#ChR6}mOgUACLiiRhKQ%MCmYXhH=0?hnB_&hIlg>?O#&$qM$kCt1!tjVw!~ z=1rbfX(O`R@0TtRhBC`6w*SmkjY(hX-t<2C9gexSc8 zY_4#B>Sbh_!MiwN;xD9DnqtBl%-`b)^IUa{c+}rWMul=*ijCXC;!YCD`%5r{fO(vQ+-!Bg0%9 zLA=NCMi4JRBA+@>74uB_O^Jsr*Y_I|=Jpabe7CCNx*iJdtjVn@xdwg0%QO2n_VVef zW!ae#j>=~a;19lWw(|vC7#codKk^_coqS*GXV;>7Ng(4Y;p5y%SQwE|qgU^W`^_?SwYMdG50#ekU5UX& z)UO3fURmzJ1p4BUceisHtFk{zsPK@JU$H&c<*4`Y()DW8KFPn0Wc7$@v~pR{#DlTAY&Zn-@z5=+7TD9e4*=X;($4Bio zpME7+M@;8xD7U3K04R0R4{#CQLBHJ6w;GoGiV0`v#;9MPHKzAnkUgU?nIi?58uhx; z>+?4Qb&rYzPrkK!H}TBKCDZRLP%}=M^Y<*q(^myCUK)mY-x@VX$JdpBOD67;lY9Oc zg30%ic}Mn81MCN0PY`dlj|cGnJ#RGidPS)I!YpNiXxm8wLx>wp#gSH zE5|1G^e7RP3mE8FLDTKlc7-rMgS-PqiW(HYHx$QrkER4)>XaVTd9=xwC~5IOM*6^3ui9D1Uc zU$*~Vt%^rm&W!ew5Wt=_JsN${3+?L0a`8QrJxl>GH7YhwYU+awa)QeJy4gB5r((LKmz!rg&H~m{KJ;@G9#wVFrpsFLFbE7y_Q~WONjFBTkdtisQe3raVwmXM zX908C)pd8O?&%H+^A|XqymK{^NZ4S-S$8|0)G^i^?;D`DF8kg-a_>>dJ0IFb=pSk9 zg0rMGlMZ614vbI&5cRypb5g5S46w3OKnc6I@JG4F~%y2NE9RcuX3 zcfEvhWYu91^Mn~4s)=e7A|^b{NH-{DJ>5%JJmO@ktOb#$&47u_%lHaVm!__7Tg9lX zGtv=R8Ut%vbNyA@R~27P@f6KciKNUbrx5QmmO7^^97mVwD5S#G{8>g@lI9L2ZTqfd z0EHO~>sW+z$(eD9w5NALrWVa8ytlVI?PBpvgJXL)W~|98@E~3f-Q_UO#Ld*pp<EqUnfL2_@)BQm3uaaG>~KZnc#RQIY`>GRb|4k>Gm67!S{XB)Kp&v5_qI^O=P%=bUH+eR1|&@3-o6*Ez6SYW%E)Oax=`q= zYLBoQUrLTdL4M->leIo9ecyhC(fEk0N%s=F`B?D=PH|%>Bu4C21G}OI@2@FlawVRu zRMi%Zd520BtIf93qU?oduSnlCSOy?&wTqLzMNL0Oc8m zjA6&|ig{UgrvsGxj8p8$ zf37u#t>1OcYE~N1J!XmmHVmohBn~MrYPVM8=uq(tQ9xg)vTK+mj*&dScVaE4WO$&P!?6;3@_B>lGI_u zLS}8@8!LY}Fk$Oh(3cc2410)wOiP(a8W%6M{-1BXdBc<#&Z`1RIm!9>$aQtZrUDDy z`+;jlFWHWGYq6qz+bv=TF*TCOS}r%{c?Hhg=rxz;%`I`?iEWcP+f7Xihk^bpJ7xDd zJ?vU~+*IXy8FGhb&RD!Q>iS;3aeaH6tIazr_?QNQuh0M^ip}Yiy{3^d8pdlIp&yIs z1yhPbejJ)rxr`7nMs=T$!xSRmfBC6z-l4E7D3L6aW|~0&#cR~~uOyjCrlXxh4*B{7 z)q+`L-Z_)oNchg_*J6`tJHmJld1=g)yd;qXuV)tP5&VO3)PqbI-* znLRgf@hdwQTL1meym_Nz@;fVtrZsPdFxaE8I?rx8TYt6~nbza=A<0t-o^B3}q^pur z+C@>%o|J(){WP+mT)$L>7^Egf2$OMpf$Lg9%Q{=SrHvWBAPJo*WFsVZz%;Ai?bqP~ z@g4f9pdWlhmB1DBUt1+{(j@bwmGJegL`mvPGaslEn>tvRy~OiFX(xJRJ6I;%G?Qkc zk7_26X5x=%CeuWFWtD^rHCo}2$FIUHa|0~WuI~zF$ty9#G8U(aV3vGLGoCNaq#x6a zrgQqrW)digAv7j7lfAMTs9CWaN;BCjo5`FYbc2YVydTkqIN829dE*%?$6-eQ*w>eb zTImI^5)Q&!UX;)i^;P_vGDUG9ZlbR%pE+6PXY}cOJ^avPul4fiFd9XI*b75r&2l6DQpjFyXDr(MSZDC zAaSh8!1}QxA=DVt*tL2IbOsxrF(>qPs@B+<8+)wh>prk@;%JREjdbPvlAeRKJ$KHg zd|w)zy{Xs1jcTcQ68Af%r#f9ZNeaO=1W&h42&q#r$GAJz@1B0ho#Uq;@wSe7eEI?m z>2ycfRC5%(GYU%pa>mwt_fRm>$3^?`vIpLc>Uzt!Zw{AUk7J8tRXSO4s9{FwFm*MIa6S^53bk4~&>>Uj_@yF51k|@u?;)^(0JS z20`Joc;J3g&X>RW!=L>Ae<2n1U#QrZ=p<^7{fxQP(Jc|Wq;(o{RXTtAZ~yL3{^~EY zn)yrG`+ND*7vX{`2w@`cMA)6?DA12_39;1>6%F19$}iRL)`l$#4HP^mqYVzq*25J^dY_$Q9@~ z$_(DCYrOyK-@3y4AN|fvyjQpI4wE1z@P89?Q#+#@y`K*etm&`;^U6?MR&V zv7iL48w-jD^}JxTC>YNRrt^mdcy9sT3&w)h5t4%e$ef1~(tlGr!JX?c)pT$d;CF=I zU?_PPJ27)C<6nG-rTq?Uedk+Mb6CkWh!KE~0xZmmp%f%AKBuS*1BuzA0g%t$ooC(C zPqLY{ALDZ<|6-})%D))TlF?o8fFO|e6RUtVTGEH6ZLkhX=qwE=L}C8(@1UQ`KdhU0 zCgPENV+WH7kACQKZl0X`5lQ_(`r`{h^uNUPL-#W@^|20>&8&4_pz~{NekY(tBF~vT zM`(eh^zI^hkRBy$(Fh!qub5Aeb@Y>7(%}@l*|Cpb7drmosSoRl)yk+U745FnSLH>!=MM# zzcVdo5FmE}EPn9!JDt#+*|M2TIFYv~>A7Q@9tRkMAYamV96Rf8j-jLUR-(fcCRhS1 zdRVX8rhY6;re6>0%zar%L_E49$qp;`g=ul~Zu5DsO!k;lrvD8bNugqc4n0+gRCa5< z$YTDBYD+hECytRdrF}>F9Go9y zFr8u4r&+NnYpG{4eadYx3F5)GIxjbqbz{LjHm0D|<{Oi&J23zEK);8dHW@cQJzw40 z6%v%?LI0Axjhm)rGy{E$OHz9CIGZU=?J1(x`xfntmq=(EU@W4@X*=$LmQ6e6KGM#kEd6DG3#i)=?&9FHVOn|OTQ$wI#;sX8=y`~w{h=1c{ z9Lw)B&HRI0f>%7SIxys7DM2C+rL}s`AS9)PiCcj7=}9$#9+MXXOGe*SyqZw(>}yk5 z#%Xjt@OC^H^$Z2Vz>m(9Ft@R6V|+=N2SefUli<`hp!7-n2_H@LG$-&c2QZk?n9)-; zZp?5dSm_wTLuYTxO1mgB=eB{tA<%c#^rj^~MYG=EXOZ}t>Sb97*5kLWPHHoFdUnW21{5=1KuwJt=^gDl}h z?5ZdZ%>!i7f(uh};bEd)Z$ENp|Lhn#5>d{ZIkI5wlb%76kFRxtV8J#X+pg0_JLQwcv z9Q1LG<tCvXQuDPeafD>Rb9oCF~$Y69;p+f>Jif~(@wz( z^mGC;wHrC~9(Yj0z9^(=_t~a-GC?PbM<%r#TJ3Sgd*O>x3>5&|l%8kfeN%Jvady*@ z_|fkn0E-ie%O=z8R*S){7QJiIKG)r=uoKyg%!^nSAQ0iL_M;p9zQBp6LCHap<035MbLi8u zEWR}XZ&1hoh}K2$F9K9xU75u~k$Y8ca;xRw;zfEr^{yhJXz9Alml>SHKs=ZkpWK>$ z-X+Ujl9?f?E|}s{5QfiFBGH)ni?|5OP#sfrkSiVyZ;8RnQqjweN6P>e^WZRY*?SC+ z^I<9IU-F+m=#~gmA_~UQNOVw+d3cJ{89gy&G!lJV{PytQV7$vdzaR}$Y5Xt2tkUT^ zW%-=BfM7;4bpRH1o!)KAv@5Ht$25W=9bM`6kU;NeAfs(j(|Pw7u+*+$O0BnA>TzxJ zl4aqp+#a}v3pHfO&1pY0GH+Q*Th^{wGyIDNv8?ohXi2>EY8LU%@S@aV&zytZB!B(% z0u#AT58X*`$ZF>dE0NpK^KvxF7z{t> z09yp(3X4zDPv^U#XnDH@iVAeYVy#~KGy~z!9+=@t?!;VRL8i3t#p+W9od@)rRl^gX z8LYt3H!>Iyj2Sw=8kErC?ZC!vhw>33kxQ0u%#l%kEntaL4ZJ^G6cXwE{nH<`yrg=MH?*?Hde1?knTz)ry0UIQ zKenm{rx(2Q!jp@9uXyD24FJs?<`WmE-_qQUdJRxo-HpvujpB-S3o=$z2~=)(_@<7K zA>SBe&uIrxV!czC&vp0B0rt(^Tqqt}g>~nWHrG(i?K|!=J^iOm+1aKFgZbQ-3>OHQ zUvOR9w#63qpk&MaFkHDP{y=x1W5<{}7vQj7mHX0epZ-DLm%MH9^+87ZrVGq;eEs_1 z;^#^8wP7ci34>hE&v(ruBc;!1`_a(SD}=rlxJ>SS@cd>AC9*pfUke=F`o2Nzd{3&- z`@YC`4Bz;*p!t^)^J_s1zDZ~s?iV`x=huPrFTZpZW4s{1O~j#_^s|dgSw3?spv?-O z%KE}{KJ}M(4HiYkPd*9nlJ5XLs4aHK*j0GlzJqRl7kuZUrC_`k%QZrE68d@3*u}+$ z%hJ*wGqHb%`kJ|j$;Lt#I9xOqnxpt5NK?Gr&a9wrBE9pzW6PZxf!CUCK55Fk%PyN@ zmOUNYsj};W{?qf;l5pADvh3I=G`Pphm0Y&eUAk%~c6Q^Y->Tvs)R77Fpt-Y87p=@o z3cxtNi!n|Gy;>A^3fsnvU=ZAe-?9GNpLz2}w%~KJ8hx=DhA9epO`_;TMV0WTx!F?P zmROPQ#LJtZ?3yF9U4a7{-s6MXSyJDAJ9>zWUM|{c0j7!ZlA#B$03mO1j5{$YYDozN z00OUKt_m3U+TkW1U2ly42M>mzVz$k`umS_?xK;L|AHfo{2!>BKxxi$T3rzwO);GX9 zD->wa4a{J|y#tUlb_@|1CzC%;IQ2Dwsh3Rn$vCRgSMQ2`x}(W7vf@INz=RH` z-lhbUxVKRgu>SS1q~nNaSC`rG32t=t0%BsOnkHX*X1`=U zAfC*R1q;QvXK@Z#_kP}+tDG4>C>~=a%X0uh7 zo{C-;>Huny4ssTG`d8r4eGiB@eQM>rLV76IYpg#EuYUz1)0JY!&q7p!jnI3U#Q+8N z26gsVHKOREsJ^evGu!UEu#dt-hNsVdYV{3sxU8D0zb=|Of$MP&dQKmt*1!JkH*aJc z#bH35jmrB0mKXG_V<%as?C;y=@*p&|a%~;d=k}^p+ihtgjyV7nhM&3KU6k=ieAJH` zX5Q{fM+b!R*`#|Hg}#$ovMs{EM(E1yGax`}c))(w4)(yHc=ONxogbu5Y^_!KzHB9C zS~LHi-i4TkfyHylld@~IS9LQ(5)gtrM#A)Bju(@4<+~zR%Oc@j5W7xf?e&d6iS%#o zZ<=U3W4Xko7lu_eJU`80L|^sSPwwJ4b3!UIV- zL%C&1r$V_ZbALo5fCMX}8mA5JJH8>zd1w(OpEJ zd(Ud0ez;{`29-B;=}26Paw_J71w5WRTU!0paWpPqkt8XPKrLe&9Lv6+LMTq9pv7{! z`5^vkU|2_6HTZlc8f;6=*;?5OtiC|0lO)xlpR^_!_cLatLQ6v77mT-?|6rI#GjNp2 zwFqU%`hS1=&6{TE8RFg?yPmbWZfGSz6O9yZdyaNVr#Fr*vm2V}APKVmncJDn-^A!9 z1HCz*$}%trGqUxi7F=S0G!l2X+v!y3@~U7Oc`>%^R+Vyxf9RQKrqZ0Z@5r4ou{-!dRSaW?+y64i7x{TB4lJgKq+^><89GC+WQfIMsBZCq5eJ zOj+@!^d9rRW7+}obfFL2WlNh_>poditVQbaRG;xqtdX zZq4)3>ai$0mG7E+&;^r;Y3&}sA7Cqel7%KDx#pQLV`$AJp8KL0;>bW7rx|C8XwVLi zSP5l=mmTWL15?y?xo(4(PW5rkoLYXo7~t6HP7IuF2Kc%|%R#;vjPTYN2eVM6N#dvh zOEKek)!H`F4K2Vr%R#_0Q?4(Yk^wPP^KSQS850#v@AMr!N%1G+HBpX7Lr!tefIAe8 zmDFH#X!MlFo#0qBc!?Ayt zBR1#n%mIQcN|D0QlFV**hqB+vwLox+?CFX35MxW7Y^>xp^UO`H$?s(=={zEE3RPQG z2fLF9+@0n^jeFNW{r)`z)%LrS39x6+C+tKq`EC6=w2J2h-zf0Lq(*uhNDDu26cuu( z8eJ}RVm<8_DERD~L#6JSsBBv`6U&=};%vIk9Gg6)Ii?Hm`u99tDmTRvn5rb0Myn1D z!#duVPruXfM0F0tWpR*5q$4ZH z(W?Dc4msbQ@r>pXWe6QwblH{dMQ6?Ku}K$tlpL8*8>>k)%uxndchUXS(cUc2Agm+S za?(I8Hh9YE_q#LR`kDA@*EoIkyX2`AIG#z}hjtJ7rq_XTzf<6;{jeXp9om{GI-iDg zGnfrCz%kv9B($iu<)D$X-X)gAlr6*>b13G16ogS`$+d-Z3o>QqE#wMQ^)}qZpzaZCU!$Hlu^;<>=38>YI*k)?n>M*S7jd25Xra|j*^rvx*!V%|m23vwI zEMa#IrlVTl0G+uSv?pjs6YKFRZz^=oW}q|i@;rmyGH&-Rj5E(*>@LBEZscZx^?(1Y zSu?4wb}$@7oaKeSudj6v%L}M`Fi+VasV^GFD1;&PDb=2e>oh$oI2?_gm&b+~5K8+k zgR0t)m!i2i8)k2YfsWeZ<;m*w^t&(D17v}i{XGVhTO?uxA52zdyBkVd#4f>f0AKV1 z1`RSNAKlv}R{96fknr-9uj{7T2!Kilgznbs3c0$4;1v^6?#!2%LI+Wr=pjl|&v zA}|mo1#WT1Bo$bUSFb@RS~AT=Kk71PFj|Ibs%E{&bX{G=3 z?V>vpsHf4>I4Q0^YXRJ08EWgxKDHPMyL!py?8_7)k_7SjKP+GK>ai>^I$Fv|luhtcljkpyq^MgAnEfbmgeDqmo@LZya6KwK zJ}Ny0=xlaLjrTkv?(Uh+gCO$9f*|4%BQF1?u1E+iV~}0*-BEQpZEh2JaiT$Dcy6rT z)(ie4+(2_YC@8ULnRrqtK_g69^JADQ(40<# zb1jLug~{u@7e%buK&{UkURo$FMj0$#b_^KLM7-yDEjEOfPWMlLhtL@Cs>pY=x2xg> zGCnur8X_-|(c6N<{+a19VmM+xnYOL?4P`ueZu3KS~pI>wN8iSJx)%L~p2LrPkMER@|l-ax4ag z&d?Qb#rGM9BBp9ItLepKRYkX6Ah=N#m0RZl6(rWT6Q)^Af6JLQ6nvmTKafmIP(a*- z_u|e~O}ZCUWy0NBsvcEtvf25eMl=qg1z3?YnjpzoX-W?SKHiI6{$K}EDRH7CN@FXY zDtX~p%iIFX==Mg@rY&O%YfDZ^lmzKoomLo8+@2}IZl#Df|#6f^q*&~2hCc{E*U4TOV6yS z-kBvCL6zCJ@q4Ep_JX2zCU+t?PCe_Fe(uA2*-PK&>wPkD9;((7k6yOQuC_-_sCWjFPTe}<@tnM-ubjj6Rx%5mPsebp(22{u!9 zYE@LsqQGbn>*8^-hZ1 zS;-MlaElef1<}&i5p6C37m@>$@!LwPoA3?iQ2S zzdGCT&&-~Up&1RBZjglLdvnv;Kkul9@0Nq+&4JL@pj)Z+HGhvB6)Xz^^6noJQ7^esN; zdadXgO5eO12*A#7|kJ-egYnyyeZH9U78H(Qi%s!V0?`-C^ zkvwe=MN0#Vw@!)!R8dRL*T_GN?9T=c4S1`0e1whKnWMc!K@({P-ihyQ9eRU-Kxxe8 zbT!xT1mP9~Hqc$6;OedKJ>}PEmSqW4c}2cncZ4G)qC4GH-X8j#K)Htu{fNOEgm60% zrWI6O#=zc6$^rbbVRVrzWYLI|+}T=4m7PH{mfIZYBs~)(U#?BjtPK?UV{C6>`$1YJ z06T1Va*W9RoNmW^<-1mW?(k;^v-S$VqNaWdIYTn)f@J17dGoMpP8|&XhPeyq-^|S%?iKL9xB93dm$Sp1 znUV1JDDgmaK4|)+U^XxV?a2;ffil#zZFpEI%W6(-kgXvWfYAW6ZxdcOxyU;=Za zm9CX^A!33~1u)Jl<;Js^3g2)C=)RDW_IEj!SiavkP=nqx*2O4SBw>iq=tfUoY9K@d z4_F_R#-)GYxjT5M)K(!U=~XwLVb9Ba; z^EsYd&JUB7-K>l$AX19LpspXw?K67Ihn845o2(m~_hj~U^U&#OAfyt>$uK*%K03NU z?v`v#8PcN1i|^ViW;&zBx|Y3t-teYE@KF=@YMhqK0NTss&Vuzu%H)ekLAi~sm$|!{H|$@;~8Y?HM@Oaxs4r;q$De;XuEXUfBl8|dW(N= zsb3<8Ir%7vdHczx*9~M**FDP{A1m}joyOZV!*~d->ie%brjyo;WlCqqW6^a1`_ef) z{eCZDbK0kWP(0JlO~uSiI{-a2`+{02flBZR7{&!9MSFx8`gn0~W{pb+A&DBm8;Pso zS@Cd_pqFa~p*6>!mpw}RyPXZAq?Fw2FA1GnYQ69D47F8Kcif1OMHgyyW9_{mtYuA+ z`p_ZB^gO?M~eKWS^MXITB3+BP?HS9+wZ)S;BdA6OXsA+U#gRBxYm|%FS3=&_m;}r zf*Z)6*gRgrFNQ4P12?T)OL0>Lb41QdVked(3MY_qd=*$=@8i=K8UzZ+E{P*&RF1Df z2>%0yFB_2zK28|^1Sz&wih-1T0?agsj9cTM*oia}TRHfFTXN#Fs7vU&o)qvceF+-+ z9>b_@x^rMw>0@-7B zqD23i2G^4!HGm{C)?+UT(G^@!f+F~^8gle5k`jhX84Y!8lHZnQHeAvnG^`k z@X$sslsNVhL;+8=)r6o(3}x`Oiv`;q7dCT18JPDX-iVKNoDuY$e(I;*ykRI+ogI7n z%iQHw4^R^2%k-D|qIU~(2$QuOd|F%R=G~gQ+|4v*>9ud9g{n+yy4Xu^0)oZBC2=43Y5G3!-->uId?@=ihm*{gxM#b)KlsfMaTeB{({p z$oUrFc`@MuFIXpim$&M~_`(1brOcDGWu^f?S=NWj0jrcZozgp2_riA$(|=OKk*)^l zD$^`A82lAugg5sPFo9h0T|m;;_0OHi?s%irXRtr9dSy%A^X?$p-tuy)&WQxURTRAj z%FHC*66j7n^iZs8K+AYP^_}de_Y%2S=$C@#+p4IUsv9bZhLc3m1#*FKKxeez5 zW76_IS)5t^6ss6)#pHlNYz0m`Kt+^0Vji>7`5FB_ba-LDV?gBCimsvK8t1^x5-mBpymvZ&h{wpy=q0lo zE+QzK=*x`xqFwG?U5s&C&HDu&Nc5DRg51)`aV8xV}@#d0Nxu=f+$U^sVCl z{5@6Pd|so?=?K_emq*W_q&=P+_qngpGx`_LNOqk8qw&&V=KzccnQ}(4y`Z3~x6M#J z{bz^bTyLZzto^3eXMvj;*vKIgJhIsiLScWz#1%4p@dhfLq_2k!$%~TBn!G?~V+Tt8 zQSTginy2(bG(DuQ%$4auGoCzn%Lo7bz?tA{{^Wyy29Qm4wDTH;ffW2-!G7GZEBisj z$rvRUl9%Se+EE+29qV^RP0L$6X6iEEbJx#WgMa!lYB2;6hg^q%#iB(a!5iR^{r5VG z_c{J>TS$~}Xu-Ro&38tY3_+p8&FH*e7Zi#VI=hY`2ghmQVE7quVCjy`=Q?WJOWHI zA6?{iN&?J(=FJ2cyQ6UE(Z##6Wy>5#i5}`@0@UBMXX1sVQb?bmP~aoS1Dv;O+q=G z>^#@IEDY=Z0^#(tF6uMC>~+y`{Kg&4;s--hD%nJ)u<&kmRRTiRSjqLC3X?b8L_$vp zxlZ&9eaB$n^eoopd>C0yjhQk}HL&5@)#g+^>5483t=t)KCEWt!M`Ptzk7XsUaEvc1 z_o;OWNt(+G0eXRkg~b~iSPb`txqko!>771cy3MRP{R{HG%!hs~=G`LZ6qb0RJ9#_w zs6pHKhk2u%{T_&5?$Cic$dL?5xV&bNB7g4}Rf*+%BP;N}uB*8GD`F zL9*iBp0-0rR`*<;1^I(B6h%Fmcpxy-I038aFT5-I;lAnY_S9qDetZ5Ts8aC+GhMfF z_UzTAK)YKVTB%djv||wvZyern%_}Cp3!7z6fg|iRFAp7wfdv$VYLN!Qw4TK6Wl>9n`0LQ852^^YNS&Q$>7Qf{#fX= zvZjuo#eSyyZ0cketsDz=k2XA0KFuJ|!dZDR%Az|uQ^9U>-kYihNx;nI^Q!)`Y9tNH zwevF-;y5&s!%d~&x>DePealB(i<)bigprB(ZEA%QYP>4PjxoX9tXol#xh7<{sSsUM zh{^YKcalb6JoiC^4+^2(jpn~kF8vrV(zPI&pQ4+2Y# zY^*UGMxi70{^qnkcRq_Kue^Dc*(mA@ne_eTWr7Jc4-?JQ@GMha2M?{ zsVA1UX{@}!k7UPKs{C7w=%hoE-*Ydx8uNrsnTHmNs%&{#qD-L;tX=kS>|hi)>te&4 zi1&pJ3Csfv=2@{s1C;1ITft~6xvQ}xujJZ+Q+13vR7#m%J>=9xmI*I1UY&P>2M?1j+)q*MC>ET#7JqkeO zpOi5c2*+?X{B_mph#m%tc3E8&g%vBu=QyP(WFJO zQb|J8HwV#ni~15`-Ec(LGz~L{fv!wgPVVrwv%*uKM)Sax^iP7NEsm}i12+cT+!&`$ zsSziR`u}-*myp@EElp_Gy*JaUg&kYkkYeFt-}C?G*>TtVu|c#U2!dcoL3=AAW<;z% zR>X?49uYf!J3@(q2!%bnnpt2e*i2MP#5@iAh5Ztn+7+s);~Qhn^@_*-PoBI*=H2Iy zh&jg`^F79xV|)Xlb~Y`f6}-~s?9ikPGBn*5J}FvA$BIa)8Xhq@_|jvBFkc2}4rsxn zi%ZqDz^@(6Qj2Ko3bv&nOc9j||9%B0o14Maf-wwEK@vJ@O)Cwqpr=za9a}wxhD&6Q zMLP8*{rU}~wm}|IAe-qqK$=V1fomkBY6|heoetJmYh>S5#DmhuWxWJf>kg0` zj!xNP7K53S z%je8uU*~H$u}C-;l8RxrMbKPcWjv+Ax-wY391`4&D`X@RtBbM$eh26eonDBvjAmDzXmhSO zL)D$}nU|31zo9l7D1evb#abSaC&Q|~se21dw>17$OnkRw#?5%5g5-x2Yg-rynH16n zIOOH}c-C)<@cnm7aMGa9&%BVIN#W4O#uJlh^NruoOzqgu;WM+E30mGfBWk;<|SmnCZxukc`VSw zS~yAFflOUAP}kaSuj@@wPDU%H6AF4w%nObIvME{FbCIYDrta= z8j;%AKl2`OqI6`(rkUF-nP|>Gg5*AQx!hYf9zrP&k~U?Mi-bg7s2`I9ljh)(9~+eq zi`gTs2zOQ`&LX!B{Aa)EQA0^oa^SH&5|uQLC~2>xl{Rf-9r9J7-t01msBzkGI$HCV zkubiZ#wRS1QJImqQzx&r-@Au9*mF^c7H?5Wsb<4za-DUzS1@E-z}dntyFxeNJA#kC zEXvkN@jOLk&Kzckh>Z8YKs6X65|kD3S{(BZE@*0D1rFb98eQ!L`ZvSsh zapm(0PZKmA3~gkx6FLELfS2m4Exznc&q$U*sDzN~cu8QbJ_?`EnZ$Yb`3o)yA@oyw%E8UX$e8a2lcI3;T0Zl?>_Y$kDg_9 zQt!+)Ft^(L$ib`$X?h{t7dnPdCxQrR*a&ny_3ft)&;odNMI?G+LD`^E2jE)jp+ru( z{7~30$ao0_74!8k|4IJ_awr>n)tzh|pkzLdqiFD5)15?Cq(65o5{xR`{y3^G7UuQJ z?1*vP@-{E?Z`V=C`=O&%cD++Z%+CWAgd&hMT-iu3vTjDdj3d)8#XB8ejTo0r*fU(X zp7YcHC^qAdmA%I_TZiv3H09-c1;k+7z`?z0NRXrzx1&RBubO)d$#ieJ2CCScjDN2N z79~>KvvZ|7SEYG#x+!^&2eB>RYT?1pr}17~_0|rp<{l zxJF_GIyze$$x-i()s)8Fb?vz~Td?oxJ(AN##g=@h*lc+2EkOe)zz?Bx;%ru87XCi9 zyK~*(4DQ#EhdQC%@F(;{n_HKup4GkDf zGIY-aL_uD({V0n8B7~wVyhb4D@0?y7x{2i>%5s_w&Cnq|Is{Ui;4C_)@_Jy$pS<2) z5o+kHZ4m}NFUs&5&BZQx%a;ur66M7UJou#eLghyO-HqrZiEl~ZC!W#R_RQ^wZ0os+ zON0<*Is%f^OB=-kNdz2wfEnRpM$+B&ee(Rw3xPMqRL~)j-;se%kBsjo7(NdChOg(D z)hZV9FD%Yrw9!8i0=Li`iswZTLIiukDOE8R$T47||9G)a6XZd*Bt5+> zhu`(Q@b4T=eTO5nqA-7H5?ZO0yAiX&Rj9j2M<3QY3Jz9DBUM|^Xepu0d;78yRW$$f$kQJ@L3u2e{5Mt=Z z$4EZx#>fpLE8_x_Z9m$uUKS+i13ddGY{ zIKW0HiJQhg_6WDDPt0NUd2XDAmH^!Kr?O!R3z^2!`d8rLc4n(0d^cX;zMqqNj3*O3 zj`KS;L>87iSaRTNA6K{S?X2aJYOi*Q6Z(tL3B5&tzg#B_7qDjHyI_%0#}<**o{8sh zf#jeIfu1gW zC*%LcaN(r?CHQO|m#yQ|=YXm*fBbjI|D(?qEserHk*@7|3;0DYVxbjN^C$~GBVy^l z|0LFn}zer$m`ig>27s>JDu--&2bQb|6oy*L26*|NOSk=q~>LEb+tH9L|i#V{vknIuGR z*`{NUikYphMP^oZ%b_s{kzICXzY*z4omDe3qxyaV-`DEf*f!;A3uuh3@ zm(49X;9(`s0)SiJn8)Po+1B~B87}o8L-q@8$(#P94Z3qGK3sS`aco^uVcj7eCnkVj z#?Fk}-)Em;alW>-nM)5VCtJCIWIvkvt57EBwxUl$Cd{W8EjVCncSHA~B@OO`ux(xy zR^2c~9&Sw>ymf2VN&pyL&Bx7;VnQ8L32-lZ5pFs*3rU|grBdyMqe!_apCmy|bM})g zLQ@-uBrKizYGqQ}!JdO7SO^0R_CSlk46g6_{iw}@Vo1Lnf&uLbJBciNx3w8P=GDr+0nYaT84x&Dq+a8;3aEUNgmmBsRNhNzAOML;HSAYw5k!gI z6kFU&37zwc%wykuD(NRl){|ZYscYw}6RtiN1mU#;4Tr9_z#WQ(uHF3pGNtDGpaznr z7^yMDX5O_GN~Ru{Oz5VD8?f);Nv0+M17itcCjp8^ zQA~@CiiVLp6zzWZ45(B5vm9K;G%Qr$0dl7=*n>0{(D&Dc+9Fjf3H}0F=*0rTDH~uY zLK}mYUGU<^j;4IS+^o4l-S1nM_V zD`29ud-fD2tK)k|y%_WLdtUS`;b19uTfjTrsF7^9f&+$DOb(Ypc zI?#K-pFco&#)cZ+6aaio|D}U6-*UcESs~P)?7K8akf&a7e+VxEt?Fq%EunXzqxXhp z5C%{u$AGBWqeaY%#&^Xf>nV?aj}9KdPPI6Baz_Lw4M%!{LTlkXwP`bd4daCmFao$# z9hi9bAe-<&OPeFv_{nVata?MlbA?Lies$wT965Le zL+UmTPVaG4iIX=L|L#yQe0+8Nuc5ne?LV6m5%7PTW5G8_arC1tAzl2KB31q1E2)pO z)_sE&N7vu1V&7&IeRb(pqc(LSvl59!0H|k>Qnk|zbn5%F07Cv(nusXWV0!?ouh>i2 z8{-W!LWnjy-BOASr7-yF`NYtSmKa|LFum~Uyo8!DqUC-K(_c$2GSmFkr4=8NDvVHC zAS!LQPsW*72kK>CLyQlx0S|6CK$6fSc&rmHqOtaQ!^I9TQZz?<(z*h`_0N||VrDIU zyzP7&WE!F4Cw}ZRoxlFf`Qe137cSh`v-byQN5{`m6(t^3y=Vli7z4kWEwEo~{s(3$ zb!U_RUC61xPa&!A2$Zp(I)y;L!|vT#>9`{RSsWYXsQP4I1VqHytX4MAFRTmc)=uUv zGFG@u5R%DH=7jKH%TXL9w@#YU9vXRlun}Wifmo-b+A}pu)bJd2IN=bTQ1-`^zmdL3 z<&Fp+y5#HX+oWiWH_@e(_2X>$6P;k*A{o-C(Y3YOjjKRNU2}!k-)V5hwZx9-^ss#v zRvoG-iB~0!wg%{LEBg6_#3w+qZ%B%l_iJFDa1uj{4?jA|ZLy}%lDd+bVDBsYC4c4Y z$GBkLRnGndJ{^8v;1C{}OtTK3Pp&I*Z>~H_F+FYl8Pl86N|;tK>cS9Ia6YxF>{ash7PN0wW|P%$SxRuoFdrhS+8PYhsBe?S#f-u;+%eW#t2^Hh9NJJ z8T2E0Y=TXdj;p?B2L*QE@*=_cd*Tn>%A9OOMCKnJ>6%E$L{bL&CK_8h!^*OfB-nF? zpi&O`sqYXAgd^R#r6M*+pDI*&uW!LKwq&J?i+DQW%fI1^E}w8T=AN&KrFyBmveeDQ zA?3rK^pBta61ihq*fS*r-bXgyct{;Rr?ipb4uh5zY^QB8Qpk+#}8gQ6dC)oDl5`-YfEY zslF_8T7_^hRw4@`ov>Pi4E(1h13|TS)R9g=#byt7#5xu$x8lZP2N&pIPVA@ zLOI=B^_3)tRjGhXFd_5C=>|%SwiiJD0~7y}_34vf-mF@N*`m=uwwzP<>TC*36N8tk zwYE+)!xC#Oi7i09!#9B7tm%v$+#O>Gn@I5x^TB1@`9a4Js;}8;~YO~=`1L=Ka z8cChKI&-c>4%(Ou?`(=j1)1zHM;S--vlA#L>FGp|OUf|1pBV$kHYvSj4Y`Im2>>Mr zKCP?mmagg<`PpbriZcDQ?oQF%{35H>HF!%^nT8-5izKTBE6poVuek$=(&m>aA+>=SyQ+ zRwgg|%vqxL*l7qWD_&_Dd-}0}*8n|-Ho{dk&l{K(mgPq+h&Vx-#YN9YFf@^fYl=b` zmO9cFJ51Y1()qfXmhRX1I+svHL{}lxximCPGAFSu%G|_cvDEc+t>2dC#*&1Ny=qCH z&ocXd&^JO7CP$?4J73d2Kba;)XItKPrKbf@_mA&+sorPI-W!)uX_;PHm-OKcKH?1i zb%MCblRUKK0lGJ@?M5ehp7I>ec^(y&70Smn1pPyfhpVlutRU$dkchOklCYX51JV~0 z!gT+^YCvMm;UqMNix0rpM;bknu^35vx}*Fl-AU1YTNNby(Wq?m`dzc!Uk!e!^Hl&* zy=kAX$Z<(ojkp)?Jt-f+sQJ z+{u2Yf%#v5Bfg<@(vdjXD1eg+P!CkO6|Bpn7UUbw9>GMvVAmf=l!hCLssO$D1G|Q` zoLy#Z^>!o4pcM&9e!-c~MA8hx1#P@EMNTdH2rrw@)LCDDP8YO$*wThi8On}6(Mr5c zIu`+|69RVNFWk@U#`77^fAnwK|9Q8b>S`!WKnaXcGRW|6Hq;NF)l}b3`4LckXgK){ z*P-Y$JaXvYc#-j+>HX?P8CmCR0DiVV|2ZcpU18B{UP5=qOElxfH^d4OnHp2e>ud2p z@vKrmFOVwGbteesgVxu!Zqow7=6N`^xgIKE(({M0Mm4htbRCaHa@(u~Cvtg?12e5Y z&vG)X04#{atd9k);l3os*7^_r)~8RT7VUex8BsoKH?RXB0V~etzEb=VsX*z!mZ(#z zJ>~-F2DBK`CxLrHV?gIJ|ARmuWR_hOK>yTvD3MQ;CTo>bQ9prW8UArCD60lS(xAj; zfcOZLm=<1AoO4^=&CnPCtC@ImT+5XwKMZQN9qp_c$BDJ7y=8tC8GRk>1Y zz+9O^94(c=G!^+=2nJjIBSU3*3H;x}xbGePx3BFXnKM-NC{3-)?=%viqV=$aPl4yTQ50IZTC27} zm@s?m7rD-m10Y;HVL0&37V}}?0GxKSDOR+m7!Zfl^CNKwXk54?$khG;X_5>0PPPoU zLJHYxFAiOPM#G3^L&kHy0@K*ob;MTDQ1dJUaw;S?{wQ{u328zjD?&nLs`mqIn?RMJ z_TdAzslIVYHJepv`($C}hiM4tLSXZfM7g&aKABOp=}g_hpu69V8HeUW0wDnR6ifmM zZ5BU^;e8jT_O5P5MK26%&C-RFq-mT+E?^I7%v!)J;8;Fv4-U2;X?+Z7oW!vk`>AVX zjC9N*TUl@r!iAIph4*)cD(1^(m^~WLdS79B3dr8uEnatH(lEU^VDLm(wub3L@f@8N zMRUiG`YG(c^tLdH3~J;36_FrG*$nG#QMq+%>_sBqfJc(gxY+W_JXyxU=4V|}K2 zr&E=7qw9JSK6=argdL_cPDDJWfU!OlWzoU?DT<>oiQq5QXLsrIi8R3Yt~oDc)t%s2 zfi2nEr)zhls-7E!zIabzfo$M6xo#$XJXXNgwBOW)@hE~grSYSwC5hjR)~UYIzWZu3 z`nAT6Z@Obcrv(m&(=fh}N_0GB5c?!6`L6Zv|H-FM>O{oX%FJS2E0MvXY~T6! zvIAaxUN_(+F-@^_Eoo>4a+Ap7hMAK+ z1HNCu`BXZOThaeZwpzC__-@xue1m8WiIJH%Bm~)8NAuSZG|U6dIxAE;F#p)3E;pXqgxSG_GF(@ z6&M-=6Z2pnK@%Rrw$;786q*rX@A+vPHxs+fmrJ@Tt1V)FW(!7+urmtR!*cvDer&Pn;z=WArSfga&Y%Pu$91>ClDfhHEbg1*JD6d9f!vBoxhX z%4fka2-#>r!V%N>a6=pLrA#{>IrX`SD5#*SB!b)pkGfTXJLtuyacD?VDXV6e+b{9Z zz>oI2+wrwE`u(;|(if!7XyWD=^{FU5m;KTprI|So;hN)y(plP7g*ih*&@74O<~>Npwp zu7kpO8jaRKFe5(R7>8Vr^aglU3id>tFu<<}^hGnt5+4m~EtQ3=cZX+oM>d^rnrvWB zz;K2>)a+Xap8`Q*`!@~de2I&dlf8}MgOU8oLby<#^TUE7iLjbK?R)Hz2z3$`4U+aQ z3g`LYXu$A+>_S?8pl7P{%RNTObBQfU?n_sRN&q zD7B98jzBE1DT{bK`X_YJlL+iYzJoTR(Appu-lie}=%zFlPV2d<}KVT zR=3pAhXDVjKAZAA|8>rJp{aZ-NV_5UrJD|8gMCM=(U9gfo)ZA2H}7zUR)}hr!Y0Ob zkgfp(Y%RN@r0xQPtTE*gB)3|NO{)p;g5>cWKqwFG2Qd-dk{K-~qowTE0gY zh~yUVxeQ`PP?V)k0&g8a^nZq|Mpw$;febWNs&oI!CKO;Oy*$Y6bma>9D)1@v&x~O z+m+Eg9P?GX^-_+cX>B?wTH9Mhb{X2ONz3pt0;^w3A$Uk2_#lDhJqnp5MpQp_#R;!b z#~hiPRk?A@-?fU|{)5_tT=yJPT^~tLNX~g$Ii6Hr4z;5XRbGy2d(o^m(vnhNZGdgj zt+gg4tgKG_e2?pS36G~`8%56YaIp`bZ~p<&BlOQ~1OXPl`Tf@Ba03{Cw>jwwM@N6o z0ad8K8_4t|0?8cuJrc`jG!R7#m+>)?p)SYMt|50^7^7mnAvFvmks{>{Cjy5NN)khr zRm&GS{YzWR=ft{Iy(N*bu!D$N=9=)sl?>2G!-N0^`_OIqZISliIv>8?UB=)2SD)jrr=v$p>DE&TisSRi__b#@>;HbqEqmBPK)gERb#{^`{sq7ZHA zigxLuj-oj9fzRv%HX(Fl*V>R6Zn9VaAzxPj(IA5mlabnnM@Z*I|MY4xya~MKBj3k8 z*etNaE(=my|SsXf95QSk3iF!e@ZR#!1&uKUZVvl3m4l!&{Zis|j zK*sQir!+7Lf9QJgyo5$2^8<9AWWq&C2TZ>xX+dP3njNI{MYBZ{i?wV zz0iIskwxq))Y2I17;Z4E|MI(aDv`MSQy@VVRu53ws1=ecBFq$q9M+%q0Tmc`ZvxQhnb@N@&jzV=F%RLZb%ng$^8 zjC&wag=wfC?fKoB!wD@7Y$+WG#`JXu0IN+~u5u>Sy%F`yr4M2iWg}{VFe*ti%2Zi6 zO^9l$M_qCWmpLb&^B*ytY2O6xB%z%LI9DO!vXIyT^dd_mLT*YD0BN!1$m0q2?HB&| z%I|7|n+}WZgXU84pGYMxHp`?P^fN@?0^gFz29rR9`xdc$O2WMa%?7Vd4Oo(#9|@Cr zQ~iAF*jwEfMCeN#MJOIVJmXMzc)138K43xVwgnqzNExeOn19fhQ06<*vE$NQ8Vt=P z;5+iHe`4fQ3B6*CNUK2?QphckqOIeuRt_YZ72|VCwlDgDjz0QD!L^Qn_q6~M~~P*1W$w?&UTK7-hBAshJ0jx z3Fg1(I>{qq$-^N_o)FV4-~5uAW{^7&$AkIWG$LR7=Ifi$NN-0o(=?C3#hre&?x4^Q z-`HHDCw7$x5->)5+xat&9@ep)S+mm>*J-k72>_4a-^g+hif^o&9HcJ{YDZC8g z_Mol~pN_vqBzpCHYbnL)aYhAJ=~?HQ|L`ls?s(Dx61ShT@NW$m%J&k5GGHi&#(^TD z>sD~`LR##Gu6vEjzDN421JZl74BpXnryXKx=yJ&mgHk}Z5a7x<``vSbF0BvsrYg>w zP`s18`YQi;Wz1{#`n4zB`h>X#=bKP$7VOJ*JpHn`#Z>WE!aRH(FRnVAMY7 zXXs!Km)+jpT{}{<3vC$EXj*gnDE!vhq@$N>2JarIj$%tq^ysoEE4#P==pwjF?n>P4 z#;m>NCmE{nrfhhBjWD|27pbTk^{|_Ba*|!_LFYfRLc&{K?yrlXSWjoQLt?#CeV;Xf zX`Bq-$9fsv?WGLb8t_qNcT{-ag6Ms}f`EKpt34K8Zg1FG>Ijdr$8|K2T0??-zDFc} z{k_uRFJa03Yp^6o-W`^jzpaJp8cBHb4l!1=P1Z%#!&CkNF{dOz@CSHMBT2RPzz2<@ zwk7Eek_U*>57OQ1z?LP@y+}`{Lpfi#l?SW_cpToPAP@qi*x@Ocbxfj= zvum$`4v9&*IGLz`S23yGa>9{6B{Hgxn24ZV_9!wLYn9;yD|HUWtTbSA@gpGayZ@(CHS5=i2mM|5T$fsaVl z-3fkwWzI-G4`_K4kF-amjK|-0r^;fj9``-Szw@u)@u7xCAc z>k;GeuOQQJ)?Z0SPLE$nq#x2)&^Y=b)oE)^#Ww&S^ylcZs*w0JnJ)WeR@tPRTj8dd z)r}@=XI}G-)6?17)4KUU<#ecgyESHP&%7mP)t_;Fr)D+GKNf>QxQ}RI(@3s z={ptwJyP@?w!_<-oHUTU?TCh2^Cw(F-EsQesVcAY@5D6ACP1s{j+>H0ohvv!k#f0( zH~JO_9DE-``d4B>c6J3^b^Aq$3!CJEMpWK{I5wyK5DMgl!@3~_qK7t#&Z0O33GJiNkrQ^o*39G_q565b*W z?&nt~X1_%K=V1s-xI#;#K?eS!d2gFewN8eShok|5eHRZn zD(A-w-=lJYQy>Hz_yZE<&~c>cN})`)NMkA!0_U_XIQtHAF#q{qaTaC=ps4gciRQ`I zAYG&hm5pfS@8G;a%D}pC3hD>_8nS_hMeU6hv!@{N&gd-6ub13DT;Lc2KkaMor04^~ zL2>DS^xIFLG(HY;Uji@(`?SnY4UY%no&<3NDG%2cID{Hv1A(Whj1vKpetTa7`u|{& z1oXG{hD~l0y|OH58((Q7qtKs`*t!VtN^3D9#!eOM4bocnC>USt<>4Yl1ApPADUzwZ zbveKnmZaSw#IK@`91xVokKG4VuN01bt`vHUI6zVitIo>}60UZKoS{UH51UG-u+-N~{OO8xA!8iMu zQ}GDJNf15J83ISVoKCVmT-u7gy3#6otLil?4rY`>%$3ax!AmSzpB!FU)YWb20Mn&Q zr>4_*%;h*N5?TtVc*UgGK4weT$t*^}Xds%_f^}B)gBoVeP5^l5B=9XHq6S_%vQ;%w zHt!cAEk3%(%YqYZAvqf^Dz$`0Hd|tok|8bF)la0<*o=L2RNYzK8AhMPty9P0nsl;T zZxY?MWO#h2AH7?KZ(O1>%XnY$N^2gK^CF9}d1+4|I<1jqb!XW8fdk*Q{tZ&jX`j(# zHWCOUajg>2ilugSEC}{IURmuQ07qH=8(1l-VO^00tj=>S1p_oFcad?Oy}7Ckl)Y}5u+_g z`uavAHV(VjWZ?q4$T)g-v!U)ZpewJmZ3i@A(rw^EeM?v!5EaeADI9(CdwWH@VQa)0 z(^fjP6`(EZLg;LAt_&YAs?$Cki$_EmrdU%AIj|g%&kR^_`uXqR?@}A0G4aT%Z=mbbUM7&`!)bIueeffR`*uBkJ3!YPwnh35;DI=q?brtPl03m%2v- zmS7r^z)GRcw#W}gJG;i2w+50XU>a=1HJjs^U4p+iGlRWjG;XP$@a#!T?WG!~A3B-6 z?Y4Ad(~Wk3W{v2*B?|;?F=}NrYRC^yVglkQN=75W1o21GT<|icQHk7?^APpb#1#qMTr>PE#ZYYu|kz$+v zLPQ%w^QdMv%@6v~&|<6$s)1l}+E46LH13n{4J{)&b&*Agm_Fwv3t#I0`cM9w2ID3- z>#81>7jFNOj=g8|G8pJa&4g$M`8D7le1_8*C#xw|xWB%)cqbDxkWUBl5y&U03C`wB z42*}1=;)HcVGrGVQGIW2#Lh69nAi|T{`it(>WRKAEwilh>j7C{AB;M+a&MlrHDWYG zNE1ZD6Nh?3e#ee0)NF0ty)(w!P}3ca4TQ-B+coJHUSk*=t&<)qJP&?nNVL@?>j^S| z`6BWypHse^6kkJ(gwW5VcGdZ%V**=eJT&BS#s{Qmqs@G#S!@yXew@xINl2Lnl;m%DHMJHHzoLP^kc143fo|jb1y}j0X!HB!+(Xc1EVI0Af$kK#yw1;@sShy}5Qn_3}579+(HktmZ(FhXXnMTRC53u!(Xae(TO zN)WoS=cMck>cq&J#YwfY(BjZ4nAb?;TzEvu_oz6WW@R2rrLp=fH=F|4V#@IvA? zNSq`Gv7K;?&x9BtRW<(gM7N&#AqTumv(A zaSe6XK?bp4k^0t-PKtsP!B8U@g_Pr5a!He#x10vMV`dQAU|V$uPQ`2nMk z8$9!Y?CZi`neXzLM+hTqorK&K>jlmo2ySA!SQZY_y#)xKqutYCDl_DWq2DtimSR1+ znm0GJIyx&r$tR6i&v-(7#iZ(bAun1K^g|1~9UvogMjTA>yjLP-}r0#AFd zK}}9J+lp!hX}^WK*&UjD6%!~}z{1kaM6R@SuLd6({D?|5Uv+xD&^jRye#1WaYE64i zQvwrIWJU=T8mUS{0%vCGRlcRYe`FrGaa}g=AoST^H3_Mec~*B^buIepMIY)Ti7?i` zO{aN}PVWqe^@Ced&Ssqr-ULZAxg1q(MG3Kga8~Fhb&|0sybd`05j2mkp4!U^}1 zU!yTlX+pKJ(sU8n8=~=6{6rP#uYr*MZj~QSbfoiZCd^InpWo)NyO(OKtd#D2rm!q? zrXVlUId0EY{|X8TpTllpQ|S>@AS14-nhthm$I1`^0$TfJJLiUfla-d^$JMSz*Ju_) z!Yx?|2wQKLEHB&ZjlPc2=;(0PG(=V0Wj)*55KCR+gF(xzy5-NfYRRd;F?@(p1{3 z?!tuucg2B)S_4Hq#9AeIii zH~EXWM9e|52?;R4s6?%3_@qQawnAOn9A&3e%b319vY1z zx_KSfk|12zAAvY|lp+B$9x~IerCL&7R(PV?!{w~5bW_yz7$O=T5nStEH4hdwUay+_ z?-g{E)(0CHH9y*-kqS)QB$q`D5g5ws*An9 zz?JC&d(aMl?dcz?5`-jLP?ZP@I;VZ#0&1W`xauBwVikX}2dvjPHADP0B#|(on*X{P ztsBS%4ktM1xCJ07N@M`CE8>>CtaQk<{et?idTRKR1Hw{{0M9$Z{|WNtf-?|9vZQ;D z1idgq)Wj)SQr)FplGO$ zMOmEz!a(K02x);}DuR&bb5u+AYW+tvghPVb{xAC`Rjv6;|H59iY|RAR|DN_4bf!=u zw`H~tsuXM~5-DlKe3Gu-NXlUYbj1NQeYPhzwKk;I*VPp{e~AdfQAnqT)BHeoS$9Wd zf8GPMLeUz&rNUPJ zglxZr>8o>CZKt(Jn^bVxgEB@%{8vu&ipPS!`|76B-~a8iOp6Z^D~38KW|nBJv_nra z$RMCEoTN_ld{gI6>copqoJS`Ssfw_(k1D37B5+FqwMhS!W3aRX4lg1t%}YEWQjT5) zOyG{QDiKkP>zwV|TuuALhgq2Vqcn*AO~3H`!ztvrXUN1Cq?tcTdYC=r?t*lYhzX-+ zX#HEsV3?1`?Wp6Hx$Cnf5`T$Qj55~)norMPU@8j!4SIAWZQChL#>fO=nO4@<2s~5c z0{?Q!981S;vzG*e63Rv+5qmU%W00MmM^Z#uWND@ghE65L&grG(3Zlaz^+D)mu6fDJN+P^qaR@`$YKMx+gAuu)>tE~y zI2n;U%@b&aU%TB~e2@^&OKskM0b zt=I(>cmRKjXib+|HcC9NBsPw6`}0A|BVk3jp;QBsip*Bx{or4Q6z z(?xsO7IoQ3o$q#biEO$bEW4^{GicA`@0JCIZi`!6dxL+k!X9w-oK@s2N%E!biC5%< zdg!ap(y6m2Js6zZlHVVaQZnXT_AF!Sgi6oo->Km~uR&)QX%}>niAV6$vP}-)KKleq zEKt+0`O#u*_lLEHz5v9mI&P4vi4@*ae3?H`Po0Z4w-{~vDQ`Kjk}KN_zEgHIxU z(LQa(ANwPnP=EpIttm(X^_{vrYzP7qC-M)p(I9wXT}nPXz|C6>ZU3|dehbV86Vai< zI^!7D%>78CoJfFFqSaMkG(J$}vSX1R(KC`mwa%Bzq7@{Mk4)_0RMg6F+;m4lB6-@+ zs^c!^8`!1=w&iL0$H?4>4ah#irk90?Jxo3{CIT~!;vX6UgG2n`3M;yPs5?hi>Qvn? z#CBKIj8?Fgn1>IL;;5h+&xuPC^ieJN{u)!?h+|oj$@fmWoRk!Wl5zBX!oA^(Ef%O0 zd~7^a1+goah|;IcT=*lMKQ^>qtn=9YK4YW`A1Vok{Qy6t&Ta+nm40p{B=`Bzzgi?zKLy7_ys&CyE1+D>z5sJ_jg8RllEh2p9J7C zzcdC*bl%@!Qi3J}7QyYcsme~wh&kut1Y(7!+fA&70!*I^Jl=Y34C+?{M}rgYJ8VgUpKJQILw~tW?PkJs5~^4EuM7h4>*0nD(2I zOK-MWN@LGDHuy+Jd_+L$CxxdT78}l&M>{RKv+%qJr%OfBQK`&&Pw^BVq?(1%!RE)L za0BW|zzJnG9&&&!_f{!RbjO(?lkpswVHqDv;q71ms8YiGt?-{WswaD9%b|a$_&`1t zs}??XVj7Y=O{bcmW4)ziEY|~9C35Q;kIV9ExPckPX2A0Pwv!w583n$~>5ifg@WNVO z^#%ERz8U^tTH=Y&0KZbYf!ps8`))p^VZOi-bLH#G$cw`)jm|An>YgeCk*V{SJd2J>Pgws0T z8Lt*^c+krMZ9StD{USc?a^8H{)NWjEvt|VmVZ0!>& zK$8E4qe~FQ@2#p@Ta(teJ0k^#{PA6t_FxdbM`DF!IyEWY)nQ&AFEsg)f8{{uyS>m4 z1PyMeDS-_B(WrwJ52@~6^Gj05Ce=s}zt`^Lxj>)|*x_j0HJy7`y`nPr(Fojh0{(t| zwcuj|cgV{XQgVKqvL8KVe>e=99o=0!B=5oF;NhgfZ6=hO{LsN`)nw&-!2PK!Pjo=9 zZb>8`C6U`4m(*5xU@GTC;JZevu;ShGWRt&fj@U!K?TT8>iTt9Sio?EZCuz4Qkxng%z7*`u4_D5ISm+H zU?lN8++_OpP@K0(O}X$n1gA%RxMjU8<`q81Hlmprs5ZY&2}B<|8MNmrQqNHr?Pb2a zp##5Kg0=QF~?l! z%rf_?cMYD#es3ctc3S`52Ds_&@EBk?M#kXcqQI4UD=K)0e5bqn;>n96Vnr zSY*%$yMhHSJhoqtQ~8sreBe~??W{0fa17C^Vx)c3tq)#KBoOhov1zq!@h&sr#dAM! z))q&+KX=n!cpp6DH|6YJ{RhAO^r==S8UQ%tz_*#*E*nRJq;yi#f{rZU2kGq0_M82V zC`&qk9L8PzqF*YD2H~N_EI+H*d62rXRF%E5-xY99TR_kOrt!=4<#t*Znw+&$oDqO3 zmg=~#IGZC^iyu`JQ%9C$7Qg3E#R9Q-nWP=T>3w9MoWqGmi&djhvRx>;mdQwqR@reP z6$Lw^1ycZz?>NoZoeJV-=EaueMd#dSB<#EwYFjEMAOq!kq{tnQNVUkIxKk>uLT73$P--`nRF6R9gP~U0i!GKlO9N(zx zNt0p;$wH2+YVf)^vY0VTQz)nOM_k zGDZ*Jvq|=J2@Y%hX1_z=UsXuUdv6ZxPYK@zcfxsuy&p?P%FnXGtW4 z9nm zHwsZRbc(7eHh7J%k+A(oTl2E&RvnE)K}x}aHwxE6+`vzb6&aKYlO63xWCW`b#j;d+ zM~kRAA}4gC&c*h46<=T`5iDpYfdeEX_6(AJ&DWg8W}m<3`yD{)KpN$jO|T-N>%T+(sr(hLG-mMSM71GSnvLG;TP? zk#V;xbY*0pK#n(9EL!MfFLu}D{A27O)hk^Ouy7)4Col^}zlTISb~GZevMZ8W0j8uz z&HGMf0sirdlw%h*Y3@|fa5LjF$g78dWcyT{CO^{uA*_-n<);oe?}5%6)qR_A5yR^R zsR$VWj!wDZ#{dZmT#b2i&XG7CPiJ*IY64~6XeKTQs47klEO+!XJAb~C+(btsV!Gi> zDG#~yI9$6;|d9v;3xq|P)ClrK-cu5+nNXFbM^Coeacq|e-53%cO66@ zQHAKHsnGf#tWTeSz|_tVP%m`$L9A-_G!1pfx8@fc7>M+RwOm)Uwc#J#)g?Rd1GO1x z+105P_cI?kI1ZAmhlU5KpKAeiE0Ee^jXRJfZ&o<+HQ@Ly*iIUb+oRL5YRU?*i$atW zunl6 zj}F2#?k#|$`n0yNaPHVI0KI2KLX_N>s-Ut6=b>AmS1~Z0cwIG>CZwIJCY&n6$~lpfIep? zeDCu^Syh~c>1Mf0HeANMf;7&F?)gUKuuE#RG|2_waiyBc!0?-}pV3tXtmsPeQS#r! zwn4717NArKYM$(Ku#16btx&U%>59?->XXwx>d_*O?9OlSj9tJS2Z7uinY z!So2{xFd4W(=5i`WU%bh4ms#n*Xh7AYHRFp=3QjM9B;q33i6w_BO<*zu*>OGCh4V9 zB<;{{ITSVA(&ncglMaM*tq=hKyr|q_^fdlxh*(OSFLc}Lvp{5PCbNNBQWFG zjv9%ai)!DCz3h?EHYfJpNMy%&m)-gRB?6v`#d%+yb2?v_itf0Egh(NV6|$z&&1W5W zOP$$P7ry4tIZqoBgUIE6DAsF4U1DDs5C=sapxLY|=ol6|!r+dQ3{j(jVb5SR6F6mA zU5PCY4H@m54axiRc!u}kW3J!CNqZrsor4ZG1?{%kvNX9wNj#!Mr9_z;{>u7Ji0@tb zIPb1dj2J<8-nrR4=yi|607S-_0)!?{Bf{hR+4zqay!?$I3Pi9g&SRq~PMQ&#eBHRt zFbBO^Z3_wE&>ib)OtOU%Ta}_K)qFc1PVh#70H2>2Ifp4Wtt3MKq2agm%LemQ>O|$l z5Yi#zm4KzE9c;4b$IZU_KYsJ+6Cx`(D<@o{NHfzhY%Ib`C<{zwT|>tRhouFM8`^&W z2L2xeVx`pzP>zFGZfvJ1zM1$zi_U@a%E_L*Nj-+5uIx<-tcC)DC=#+xs`kU>Ay>qt z_Mxlm{K~J~RFh;9#^u>fs%zyIIB2Nn2IHpj`ft`dwlz&3ujnICD#q;VFI$TcLCSmLH@DtrQScxT0Dn^2tj$ zfXYL_m5HFrxQ!T|S|lezagYeC(0BbQl|Hb{1AGMWMU4*}#S0qkmk4<@Nl1bBvJNZr zLqDET>SM{gXu(;c;3w1vYyki&v0t)CqPjxF7|l4D1+)PkkOl(|NTYx=BAyYM?3LXG z&ESM-I3;Ex-Ow!Yl2UnO_G?yn62drxH1TrYlrl7lOXtdj#DDmwq=cV}rds1gk}=2y z3~r422JshWMbdv;MTfMh=?!F14OfJOX7I&^K@uGu zeAfiB%X6LdYY^Ed#205@>DD|QoG{5eHbEdsBHuauq6C!F*O9}OKce8yDI_kftQ6^E zJmdyPgwb0E`v4N0udnv>9E+V=KvlX_9nc1tlRZDnb)lKx50?-6dT4(3ZB)-T%T*8y}-e!ZK3PfTh+pSs5r2_ zhvAppCv^NQ3OU&`S`OjtWamr7N8}6%Nn#GkVmsEOnO5>-43a2;U6R35JzuYDSX*mE zjzLk8#KGZH8nKKcVBTWJDl4xt8qYSA>%tn2rfEz0iL3=uag@VnRq}M^0v(W#s<0uG zU8Hyqe6josWaXtRs@c=wv1h?s%1i6i;?IZA)M#(T+q|rSH(GR&W$6J5Fi*2MHE_ zw!7nyHzXbtfB-*0z`s+)k$(vO0`SWc|~>LjrTx;^kh)5e%AK z)76`NC2z_=moOpAO^*?W>qmkPEEtNY3~Ny|iUP8OSlAT=VV%DbS$ia3C%;xV4rB8| zmOBESt&;as2Z#VPEL+8h(==(hSNOu@+qxpX z8W=)#PQ2vwdjq_ZiqsZXrdgpW_!6y{8;f*xV^=*9qj{Xjf(F0>v0WRC{L^%aO-zQJ>jRqlW8|^cC0M^XwwSWJ{o=) z1#(+sUFWp_&p_6ttNVz&Drh}Fz!x!phmLOMT&6*3rNX<*fi7nC-tA?BMfWxr8qT||X&5o!-#)U|>-;A; z%k5#3{UV!+Zoz`B2F-~bSVBGC!Obcod1stuBg4r=H+};>SEtau&%-rG-W-0=Jn+ly z8z4WB7Zqr+FpJv?iF9gwQ=IW$p7-4$PbIWOLG`yG*RY7PI;HRD_^YuN9A zK})K)T{R3swBzPN+1b<4jz@dUrRE*mG% zEclZ#PewCNtq=FecNaS`wI%_ZchwgGv1-f-b0O7ehi5Z6Qsu0FiC$%!o5lx>2Xl=x z4CxuqR1el1X?0lYgX_&?)JaBROD>*L)Ct;Qq;DBHX!U#R z&wKltH$X8Z9*%Tz=>_l_C1W{;e7v`&t2Pu`h}#kATV zs5*O8X4-smuHD_bP?x_I$17e7NML z4^}cSiPGO{Pa#*f zK>fN#qK`G=4jJMQc)DjixPfq8FydL6w?O*k%(#xx&MkkEeu=98G7f=o<2~W+SCW@e ze%b3p6WL(SxFZCJ`8ifVX35J2zkCa+OFPrW9FwL z{r`OW^oc`?oD&p5?Qe(o9E~_DkfOwjPiHiVciLOhS*wjYHpr?(gq$u13SN{jmN@OH zI=?tgzESPf;0f^=Y6VW3>bTM+dy==Tj4OVlT+^incptZvS-N4LOd_5c0u86=nl(~=-|SEpoUrwcvXPLifsHpLE$4Xs0wlRCgbWP)F%y@+Hbyj2Pq?eKgu#NyNo z{Ry6!9~xp)@Un}%wI({*u>gM!bh6A(CIDlBYv|k{PqA3;r#i{;v~yvQ1tY|<#1Od$ z3`H!Z8lLNxQtG-%Y{kx({{Kb@W4`yalYYVn)SR~rDI7;=W9gX44NTcZe7I;5W65F* z>G>>clj%hW5w@~HZ0tw=29oU}s9P?pc;4uDMjS0p!wVcOk09_SNM&B%+0(8fW%b(# zJB$cN;;@z8n~cm2r{HDZ>#`?#m$Q4s5hCnM$b&yLf8}Kh@3TO-1P)U5=8!z2&l0yE4PO!czxyXz_8OU4dv98n!VWofYjj8? z)2nf?eQ91>kCOD9)NC~z0$oPbQ_b?v{V(RxBgM* z`Dm*{W0^N42@r+zl--|5Cv|k#AN*zDo9I(ZAu}J3nO7TR_ug(*4Y!GHzt3nbsg)jd zNe#vcGOBW81|~DpEdQjY1AgBDoNG4Tu1M4)nT_YxGvq(Eo?<<(vZ&Ibp%i%G} z1ReCaEi85+(jCbhlk;xUQsclo&8*g7MxBNz>#1`Nxax-k9UeK8Hu6U1EQx>M8{C^^ zP)}I?@MP@uR74py5deF(p9Ri8j5|po-l@N(!8oPkWMy zY|fj7GG2wSx`E6IX+$lU{7ptOPx29+kZO0fQC+jv1GD`#=izvn5M2bzZRk?oS^xOA zzy5?|$1-y-@hO7X0gZJfPkt>dI7i^2Yd+1PXx5q=kM}&gwabiKunBtowRgzh*YNB= z7D&a`^ZaOe_=(v$sabup{bM?bEkbGDoQRPeGPY!zO7&enXTpy%LaejsZOp_Ylsdpx8jG8^qy(9K44aW+W^wv4V&jixg@xhTBRM%5RE>3q@T zm7Q1nf-gBEQ^(G>Wz3ybg%Ie`*+&e<(?bN_QNyCJS2o@1`FgzQ;#=1G0SxrxzM6@|w`>ZM?CE#_+$Dbr^FBM;H0z_i+#yx+G}9&A-FpGL|EgAWjyV&j+h53S zXt;$&w=H^pmnd`G{xjkkzPF_3&^%0;?!TXL?QsN7jx;ZJd!}XIbQs{-mou)1UtfnO z1G$eg~v-_Zc7i4yN)oFC}k$FY7V4H@#4Byh|a84fk?Dk?cupnR!Tsb{NUxOP_#s5>5ltj4+mc>hKqYhSm633A<&d4r+^Yz6P-WG-gVoZY6O|y z5Uyzf%lESZ(QFuYrY((l^vC^w-cJo6s)2I!Z=_ct=;0wF0_bnp)h|AG`umjl40vKP zhvKt0^ns;*#zz$8U&6g)0=D@T@5(dkEs#&)M`Dmcm+*S1E`s(nS$>bWm(kTxP3%&T zuT?#3XUfC86Y&QI>2IK!gs~HVkM^L~x)FqAm1TFBu2-an-(e=I3;f6t&8e>ZNf4Pd zZMYuZDf75ZJ;8^3dn`EYkpsW4)SBespt}(9c=8&^9_UlTg5;&stQn&ZFanxUn{9#I zv$=+SYF6D*dsT44`#bFN_uHc77*O$mg~Ji6+)lnG{@2}hTdL(%GPZT~Pu&hV4)hyv zzi{B?Y43}AuQPxxfBy5o`ioB0r6PTQN(fF*v}TD)^>Ds#mZ>+{#lL{)IBucE#Q#=w4(V zwi!^0q}$;w#r38Xy)YGuqfj-APOCe{b5MmJ;QkfVLv0b(|}azzReUc z9e&@09|h9HIIheB7%3xJp({nRa|XOD&+f&SG!CgZW8poX5f78;h(yln3YmiV=Vu*u zrV$GcQ9_~*ULSl~{0aM>>)j4NWL&@~87R~7xWO#}9=GQl>FtIwzstLqWHa6;Q;<6F(30z@ zpW#v5q&pdSq%xL~5*!!e{APyx%2wvA?Io?BYE4_tLGF>R;lObEm^V8r<#^#}ln~h# z4&BLuX#>754e-k(o_Y0N=YVwDPXM)o1kmSGi}j?YNr;Aqhe_aJjY-qcY0?sEiicmI zqv0UMR;7b$#Y3alW?+vH(&;oJrAQBoH|5z2A|XsiTaKA~foQfKtswgq55w%I!7e6O zw5RgfPV=U-fUuU4gN*A<8jX@WTMe196rNFl`vTYXVXwi4D#l;zXdU~dyEQ)0&^32- z4EfVd=Y`^Vi_q>GNoM(F&e2<&uA+uB^fW_rlAs;lOXKbVbli*j%@W3wW|16_o1OR; z;@z3rmN5C|+V1YG1}`120OZNeB-x!_%HuY|*>Z@@TBC#isK&?C=v?(uKZP^$Xl?k} zgm5xDr~dJ8K7Ha~UGb+8MFfcePV%8p|ExdaN0LcXIU{DH2PasIoT2AD_FfGe&ZJ9S2K z*S!!3rU~kp!j>wZFmYS)+N8@IL7Zo$j_j=yK<3cOoY<5>+v_t4BRrU;VOl4<(&hxH zcnsX-l8B~eKRHhGs;eSSUQ2yH(23Q(zjJk+c^4T`wT`v}F5Z4Z;a#n8pb3nk(;(gq zh#+*Y*)Q}X5~Pw|mcQGiBkvozK{mRw2Fh8#(KHit)Em3l5Zj7Ih2H^aG-(+!s^}Kc zRi?{RXKI5kikEue4^=Rs?Oti2u?A2gI`e+bb-@u&oLa}!r2D7Y=dV`6F}8RR$xkez z-XpLhT?<0ngo52evl9C$X6;(iF4(fNd^7k48^&H1jiBPKioBzmnSO9P!olY(CbD4s@Q8#&y3ZkarAh%B(&wyaFk|yXHvKFF7%shR)7> z5BwJV0jm}*>88xjH1p;+zR}lsOR6iiD;aPRevnjs+B_o%(RA(e*;wKS8jPkpIpV8v z*LM6gbwEv8=8T`z zlQ7PpJNSGZ_p}e2ZpopDpujDw25kpl0|2eo`HCYj&veGTcO(qR*vM6<&g_-RkS?n$ z@U5o&`(OR^E{*7SpFUyL6)k5vl2lko80z!_pWL$Y!00f>&8h;Tt2!d+lbs9@#eh)S z-al=XBik3LnuE}z;nLPXg9qv(yN>G50-c+(YwY?5gk(dq4N3dd4jq#6-cW}gI;T9v zlyeRpVmP*qMvapeNCeu}Y74otfky`;O}b9ImN+9u0qh&`+&it9B=kf69rF!0z+TfZ zfK>GVj-Mc*o-V3$utdZ=;Fd`eUUPs6j4mU|5T;~x)Ctt5#AB~Vo!{hLxo&_cl7*wJ z&4bh8E$fnWp89`1?O>eIpM`ClP#w_1wv64Ik`mAzjzv!|q`|NbE5V{0vr8kHckBgh za>)xt*VAZV_NmPqAo2Q9oTd;??6>N=QqNe`_nvdkh+jb3Pe~yO%|-6@70^qsPUwfUD7a?7;E0&@Q>O&5>vp=fG%1bbdNV_i zraq9@Y!X80E~XR1jpCR+LSa{~j-z$vN9k+?1QrfKF0{Mp-$nz)31ymdvAQk6cT*sh zZ$MhokG)Wtbg*iKYijP z1NO0U^dB%$39<^Eg&e)cX9}sWGx7~%tr7dVV)BulcVKRrS2<^-^ zU#<&VeFIW^)0cFlq@%vA0L|F|j0_}$5O_eOn*jlr?k*x`s_v=_Kyghv^?}qnFG|$) z1Jn&jBrfQ(r`1HVRQ|T62^-q)e_}yrt;${DAn8C2_59mh4AgFHjht#K@MhN}{mQ>BmYIehJg#FCiBRulsoO542>f_wZ$Z&IWb8~ld zce9`27~ryOjwoIGp(F)C+R;5@8t7I{xH+4uozU-|i4ltksWU+4d9C$i* zmo6;7T|7 zL#QTl9=w9gH8vs$EAq+a+Ll*l3tF`HgH3DBtPIpD3LWZkT(NIoTMVp5DMHfVk3;IZ z$&JBGyER(F&Zm1?fgvbbhZmbmU85}kjfi%9In$Hrspz&euzUK^o~B`4-uU&(kRvK; z+)O3G@T!~xnnl#kdnP^bEPx%gObxHH@L$SL;%6P}1bz>}CHf;XF)wTs_TVS>= z-_u?P`2sH4(LWjGLr6IEo%?N0|GUD2{BX7I2qaO;U4QvpmZPNW<7pPPQc z$rMT9iWe)p!vdF0`<%87`yjJ(`hptiuqSJz&(HGyH+uU}EEa&gEvV&_j|}bZaH>i6 zcQp5q#Q}a~cyI5^T>)R-)(V9B2sQNz>h@dzogi~VsfB||{zB&Eod5_?6^#UJVpV*wfy7GNq0wvD;7dgiu~WCnoFqvBOyqKB zC5#lS+@b`E1C+= zS_}X&hSgh%ThK}0w4ii~OSRPDy*OA!(t}QJCOb05HbAwY-51ft#=OB9jBzJq5Q=d@ zmT}@oNuF7iOFj>MuJf*w%5WP7kI+Hky{xI=E6HRd835}cj?~!~aQ?wehF71_VIxdC zp2)ZsS@qOUj4R0KTy1%wRaZNF^cGJhYQ9Bt4?=62rB7g#GS zVeC25^t2smh91Xal1H^@*L+5bU19ASTG>i^4|&s4dM^M%X_n!@5&?eWdwKcw53uG? zM@9~u6S7dSnq24WA3V})R^JU+%=es4i5lj>X#wX}2XNmG{^U9?4aW*9UH!x?*CY~a24cZvNLK|yEWGYRMM@wD$um>F=*E(5+G!gYe%Nf|#l z4zA!d^P%vJ)HMj17!WeC36Jap);RTM7&6%fTNjAY9%DZveriPQNzlkJL+&LUFRCoP zCU=2BQG?hd3_TtBCi*klPBKK$AiSPCz`4!o#TWD@6lkAWOG8dqFF-ya%MIYohoQ#h zJK!@xD7+-}Z+!RLM&9-X;o1w`OIV`p&UdAy=RKObvBy9@+MOqHtx=(3f!=o0nb-nG z&CaNQcYJND^~?+6#671q3MUore18U2o!rH$f*I10Py5mIoYaM;P4YIdiqKG?d{2r7 z|I&*#jveU-0(lh8;JiJCPC{fOpp*P41swPpJ0rAs$W6=AGbnFUdUJU3AocwVdY^qq ztw-ZMJS{^d5y}q$GUNnFDl43EL9bHESZcd-pD(|}jldeIs@fIiBb8V)2F7lz^4M8o z9W{q7Zs?GtMy_75T4H--e@-0+m}~X==IM`G+$EC<{!r>0=M`s?)CmtGCvqKE7eKUU zNqp1doX=iQRHnlWE6nxR>!zAjAek^T>Ow60kuLLl7TiCVg`BM~%XUd-vg}CpHdG8L z2N&LbJ4m|s0$w53hZ6p(R0HkDp8gndHp_CwxegG9*T9>S+Dcoy#@Rf5^-v%qns$Ms zeM$H9M`R5)W%cwGT>t9Fr?0Bw(ZRsNiGr%6lu9Ik5J13oR}#nYrRq-np#V}FTi=f4 z=xA)t+*Y2GdN?CRCK4$U=N!OgkoqKpCl;qHry6KuVgp>U;j55y?jCGC2yEIEA$Kps z39;^mipHy(`e5UBz3v&n`;rcCmB*=S*)#{qyu?~qO}#=Qqb;fQ4Wc7IV23)9d0t4R zT`oF+AsWToaX4ll$BID&+JJk}0yve<^ojP$uVYI)6P}-rWrN%T=xZ}hG#dL zBoB?IwJB*FVC=7R;H92R@54hmZz2$0SNYN|%5_n-$jn+h_0wO#n|H$r3ut49$_##^A!D^^iEopzE zNXaAR2Iai_%k>H)Z`V={5kY0wri``e9UYw85s4epXh(&PbON784J`qdA z%mcZ6Q`2;Ng(p6s<(n(51fzJAz3~z!A1;Q+vf0xPbHmAo^`{Z~kmF=%mEaJc%T}FF zO*q|M@Rr@zfe06Ka$O@KRe!!(n|-yQfj|RGe;7T|Uz&_B7v+6J8wn^j|3hodc!u$c zC3Mtibl8dvQxcK-cTVY<8Gu;o$do?RPd{Gnx~ic8)jQLZIibx!!f6@rm|Yfu8i6>5 zaS-qG)rPk+vz3^1Xri&Bjnj(OA$IjU7xn{0bTQ*T44s;5@ew}f6S?PRS~xKveH3YA zvB#ct)B`}tR;*eJK**{?8d_SA*spp(Ual)+q%MxC;60!GPUH|TRJ827L@SFXw?a}v z+Ep|hgMF!3A8iL35em+>s9Vl|$!RYyxcw1X^vbuEtTfZBb~N$D)!Yh}Bo?LzJx?S5e23{oYxm27ui^0Yr0NVycz#+Hki7y8+z+ zWVYqdTa4qmkt{s^trohWZlR51IBKRCdzjq3@LD0H>YJL(n68=A?5Z5_o(fYFNw8KW zUj_6IZ9;KkO5DL+Sf?4&XmJ|LcEpjhaCgnfpPp0T(1;B4C7jjyj|3&gmL2-l7(XpKe|uyW*T$bk=<1MW&YecgZJqW#8M&?Lhl1_-nsy-`QSr z7kpy<2j6@1X4Hm<&Vl;DS5tZ6N^I8@-tlQ?%lS)Pz&)fA_|yviKV&Wzg{0-=?=ZUc z1Dc;X`xVZX@*UacFvJ%~l*zkPWLPOTw&z<5j;?hYAlU{OpQ(K2+#`Yd97}f8K>==i z&SFq7_r5%3L{*?bs+ah?RW?VZ@QMxtO(v>_*p>XYWruH!xEUns#XwSr^A~|JHL9uf zS5MHtrN^Azpu(!?St#F_D0M!6i8D!3$zM46MJk^Kc6n#E!&B5kMpie0c2&(Ts?HQ2 zQ7Sn?cifVQTcW=)AZDh%7)=q8R$726Ny2=Z(5>W2Psu+?CFyC?jWP^<^^Jkq)#oc! zc}|a{o~l2+*y1cQs_VJsssQIa^=J<6IZ9B(#=oRYil0jb{E=CjRlvBZsZ_x8rmBVA zqfHHqoxUH%L{%C(*4)rB&7_pD{?G3!{D(aPCID2z;HJ&&D}NyqX<_`PzwXNqNGvSh zB!(Ei7WQc6)U3SF*{R(&dcEJ~*;?GHoI4kf(QJE6(!oSKGO!MOpt0@W^A z0>`3O&E7x;EGq#nt6!>{mcn`6+}KkIpWGeQwga_Y0S{E{fsmAX%Qdf5E&{6Q1jpzt zjQ1MHo9cGz;7RZ#aS%aTvYuFG8PHMd!xNk|)DEtU1EYPbggq-AR{rY!5(lY2~rh!VDgGdHq zfD=OKXe9P}cKx#zR=>t8RGi*SAnf$uTrX zE@U{;WI|9^0X&x6^e|Lu1%DD=9s_4_f&&Vie=wK6gTFWuLrDH(DdbOuWWw$Ca5R6* zNXPG-kfsb@mGGoQU{oWJ&pR7Axu^*|FQXctR(e4-SA`;{_&_b2*MZd%fTB@~J7U*( zJyx$P5bk2YZm$xqs2#YkiB$<-N+ha;EFi4Ed^r2oRYk%q(M19&!f`kX_dC+L>sKq- z@mvvFl7>;DN`+D?J1fNz8#wb}Awy(o8fTK+N|!+Oi%7}q6*8tYb z#Md>Ys#G$S$`~Tc&;n121u>#Qq*$hkWe8m5JzU6xrXN-f^-CyX&Vqy#ATkR0?pQ#9 z;u{T$-#JMVs}g}8W8PRo44*T`sG8It3#lPM=JBL68FOYT8cB|X4H?8{p};64so9CY z0o6^TGj$UZcw!a{FO+(VJcac%5VDZWP);u}7K+AJ1rj-J$N?a&nH$8ah#I71yy_wu z7daCIHOf^bf~zHH`@bB4nYfEc;C>olz-4B!WG3+hNH>< zhtnHSneS^8cjjt&4NCaZ%@x32WIOFuY@2q4nzX+mV?DRN_q{i7@_t(t0Pc9;)Gh`b z!1$SFZ8!&z&9|0`q$~ENe8iz*S=sCXPnK+bEI5AqErxt(?>6i|amdMbCLXcZYU#^c zdqH;jJNsxK`c5|dk&`c0L)GS6+Vb#6YFa^CIN%WiaG>IMeV!@EFt+OkhT#L7N@w4R zCu$=y>%r$7aoq@9>hrz9TpTcS^y3csZ+0|*PJ4#Rpr3d7<5*+zni?-S;0ObvOO0=F zo0Y?r)2u$_>hpEE9+05ZZUEp8#FQPw=XRrX*d>hyD0~%2HpQj{m<(K&ibb9y_>A7) zR5N~Q;d_a}`@F*~JM9vQC4;dX}49FtP$PQu4ofe-sRBVM)h8^Tk3itp_xVo(6t)E?I z3JLXcz^ioy$JTfJ=u6=G(`;BZIX%gF-a&}2uh@vJI8toHxSd|&*1uB6a2^2LZ?Tcw zkd1%I2k^tydA^c_?|E=yVisa6jui`u4m6fix}!Rx^WX<|gO4D(%ExCmdlvBw%_%I9 z3HpMu?6QlZ2-c3P7)!Jt|CCS%(h=KFb9GG&fq(sZ_9`ZVB=r;%i4~`s3DMuCrJV;S z&Pg#bkrqGKN3`v*_lukc3SbTU0$Y|#9+E49NL!7O=JqUTiF3rwBDPUEFEE=|m2O3=zEGaB(0 zYu{$@YB%Q*{~bpfZ1UA3JTtEAYKnRhKSFPkh^mrvR0|KO=cbB> zz)JM28o1`7Lo*uZ3{KK#=l3g*uZ>#brhIJ1N!9adW|uPy;s6)cf;2;BW=X5zIWp9i z7j{S1_c3jv@6b++T{sQ^1szd%;!i{8b4O>=)~OLQIj$-XfMYC>Kp7%gW9swI;HpTeUh+e0~s;3<_LfE`mhTZ^xQoi<`XK;)^btn23eEws` z<^?cLIU^jvdishXZbuD_Y?3967k!$x~y*IEj)lwSpN9;5wYAP1MN_7wpwAVq(zx7@-@bG#`Iq zTX>NnPApTPf=m!7o==lmG%rijN4{fJ#wpLDEc)SD>3}9Y>E*FBAPDEl{CZnXQ`57; zKGFduv%+{xr0*u{49>MLN+a zV*=p5XN}(D!wC=3>F3E7!#JktjYEPaGM<0d|3}sT?l}u_;vq_JR`^;Ae5DdJ)-c72 z6Mvj!oB~mo=5yBITx}|mpnu+XG?XI*)|sU}_j>z%?~3a9Y33oIZbslzcPgc}+4u{5 zDmm4?0MDKn%DO86oD;YRiHm16!8y(CtFqYe*1p|{O3I0mXZ$#hh%icB>;J)Qdojfd zq~3J8Wa|eF?ZDyp-4-VaS))O{8GtmhN6;)noLoy*{i33kbwN+zk)P4P-Q~Nduka$x zH}oi_(YRFMk&P{=h>dexI|-LSn$$L5=j>z-nD3VU#Y{#7^c%4QRH+44KR^Sujk5%G z{D=_;M{%eZ&2mHj^e45mTyyvrens>Y&8rQs?w!*vI6ljDBKqY6Z2?L8)NUrIf8c&^ z%RSiz^<%NmK`vl&oc*(SENIhG0ErJ#CCdf=^qH+jJyqs%a3s~n2!2;uagXy9 zfR;;)5C9%-NSvxG`<_8Uw`9M#i0|}MAxz808C}}SH#I}CtHjtKl1vQ|(xH%cXQXK{ zB++}Z^>2U2JPbLzq?Dj`%j3vpn!d(NuL_S-A^oi@#`^`JyUoiD&nEycy(|&(>7Po8 z#jYm2I4~e5zXx$QErOhA8PG!fPW#n~2pk?RuAO4d&VaC`# zWW+6jjZ*=t?X;D%DfJ`_!@w*;ORENuvy|1oX`2UNIW_m#)DsC>b=k@HE{Nk5u3E*H|o;yA+R;}S*wHaR;zn9bhkNn zmBPqqL>NC|lA6hYcFqswrkNGza6oK=ABuTlFQv8oO5s^EG_IX$#|T2%dmxdf4*!#|SJ-DXn3Q`g@Af41 z^qqI-I>3wE78(n{_UX~K?+=~*o+gAZHf6sZ7E9X0d_l(N8c7{;_z$-Q=?9rHi&ZYw zMN*x2$5}z|0u|_IyQ!G;cJ6J?@3PF^fkPUYijcs=QV(K zI$GQuc7NyICC|{N6%LYn1>MOIrA2phsHoNU{!keNkH_Pt${&jrKtDSXje_f56*Q8M z$hLW%VOPBEl=!W%ki4CVgVpb8hGD{&mzr8 zMK@LEMZV|o(bcR}IF^#NgKXrdAKA-cQ7&=xpnM6!#LXgA+A~T=V`)#4XB}Yjp`fR^ z4Sk?$MCT>rGj4f)lbdJuLWpP?=TpX6sl+i?2&DcgR-^NZAH(lY3i(E%)G-$#8g+SX z_^IpIe)UP61B7x+$^T$J>TlENo-A>s?(@~$235+MLM z8Bk(g)W0Zt6l3fy--NvbQcCKnlA&1=!dMBjvWvo52BTyu)p4OZeoUQ_T@((d!s6hB zfRmygePXB}*+Nnj-69p?+WFD5Yc9~UEuUK zl%|FOX@M%2nB|gLxo{?;jLXr=A>~rDTsoE$ucWQqniY>!XFQfg)(!WfY&Mov;#Faw zqj!N1m{lp5nS>NKzHcEuMipH~fz|%!zaS$g9i4Ek@r^BaF9XXkI zQPS5XS>c>Lkg?Gt;;s$fpa2E^i-LhJ$Xe~x`3AlniP9f32ohHnGlwP4imCxIHmA<< z#G#p{RAdv?qb!a|5?OFjGBQeLJjgm)wC{61hgAcOl#e=;P3U>y*sNB%W!EgXQY##J zLO%)|zU-S91WfNq`;5_WE&IH~CQJkbuQm^EwY(vim&|m@NZkxi0>YHwr8JhLm^lRn z?pZVa^Je-o$UKL`aj5XS?{d`9bb31`$TdLOXe)rt(+QDFhYQ4WNew(y`? z-7Riq&R(C=2}>Gfn#X>VjP5>g071!#f6ptJyj>()u#c?FD1kJ_Z6nzg&dNlFPs^-K z-quZpi|A^9qbbUV#V8d!WC#F{3~6ba^A<5{+UWzO0xA`t6d&u7nX=sGyK7ZRHfeue zXw?iGn`2k5RAVwHB{GNR7hD06p-^46$Umzlq(UK%NPys6RQ9&uoLV>Kz#c3#0sp2Q zS^v#e|C%)OB!*ChR~X8hR#AhVtFvrP5Pu+4|T zPKQLmg@XE?D0s#mPVJxA2KJNlV?x>i6$*dILoH|XiZIA3sDQd~Ms~Bj1omV*95i5YWG_GRpE@$@y zjtj+(!|vcp$b5~I;xo4PTDr+}pkptF<&q2&KFQ{X7YvbF@g9+1Kk$)5=SbX1czzhp z>1XF$n0xvA0zIUhRnCsW5$M@Ai$z&nvOpZqPn?x(Z`S^=e${Zjf5?})fOqf#%o-`d z;HFkSd^VJ?;en|I3lOrI?_?iU) zn}C_dv7*j<_;z?FNq-qi%uD0gsKKvSA6dh;VE~hTeyZ8Wd3cU|(0(j=9jmthh{O&y z{j(K>w4MIA3X0Vpu4XF4{#oHfA5DDX9w`p^LipJl;*YL@R;Ph_cW(<+zzgC@KAL{n z<@wTXIb#9P51wT|{b=%%($2=2;<1GBa)teI;Cc{`x^=gaSghG>5aHmgaCE2hA**s@ z97adHBj^P0jnkW^eIPcwQ}vJo0gCA(aU&-QvA3iY>ouSd5t)H$tfwb+k4uA<1YE%J z%E-Z`sE*yfwRa5_c;w2tRgC(`HLF7!?vj-Z(Ic&vO}i~5e&yu~eccQW;y&5PbD_7{ zRN>`&lPJ+s5-B4`@6T2!Sd+kweR+K6Q5uT1q|z^h!F!~U>svG>#+ro8esS)~fw zfsY5l&)8j~D(G8srYnu!v{>lmeNZ*_%bIdgmG}9U7T&Iy)4ibv9**?ndS9J9PULk8 zL0@%tq7@!aeQQAKtVq4fj`8xXfAZ_fG`Wc{{4%gGV1-#o9HW%eLPZO2!FjAq=W8)_ z)6u=xg&{wp(3X2#0P=YF490~-*U?h9YM=gOGZc>&^`NdMVT{WjdA0d?+4q$TvHVF! z^EIa3R6M#6(^S#ed9y1m#?IBW*l`425Sr`JD?1s@ImQgeCTrxF$86b>u$Wq^sbLNk z5Vg4s?7Sz!?MYpOD4%c5u#(5*?##-z;LLbH3}$3brY{k3)E&y-Wt4HINhaeS!A%T? zVe~V=F-$T>R%LoOIxN!7k0&_d)S#viN#ROUv`jJ66p@2$Qvyjz5ruA@`J>0P_QxZ~ z$xH~QjLAOql#t2q>x8jB67o5~Q+ z#5f3F30mipyp&0%egBOC7?XAc*JRBQ)tdg$)6CRunjEC2b{U8Gq?=2x<*=>UY3~BtQh&ZW`{fO zc%3@ZWi8^&SvbTWDJHXV8#Besq$oM%)>Tm=;DEDSF4QhdWa{b)E@TRB!;#UzJDb0A zoY?Uw@)Sh2=fLuo)Q%&SQQap*ayOihB(gfb9Lh~aO2adCqRCxvGvlbv15)OFjj?lI z)NCID-F+$NB|=>Fk^d1hcVeKbtC>5vEnq&)*e{m@*@L7VxE42C2%)P623qyTro~!8 zk_lveKJDPtqc3pw%_=tmn|F)lL?@i7MRvK~oGDtZF~noCH_4c)AFoW{@i?iBnmZ~4 zhtk+$;dU~nq73@T)4s%Bc3FDRJ3<<+pwK;XmegrE~Dcv^V%Za?Jdui_ zlq!n-N)^%cQR_ltt;cvx+DmM(Nzk)}-YsCKAcx}?!^}S5#1CO;%VG%_jgoA-4Q!|y zF@050Jml)qN?H}GzKT#ha>}v<@*k340=c)^!$+elE6lV7(BE`f))tGmCgp>(sRXgR ze0(gWR$zG2=8FTO?xjjs6$1i3nX||lQMUJ(va8`|KPZ3p+ccK|h!Oczkr!2NV^pC; zqtaMx<{-(z3#GX#Jq#p#m8v{@iI)Bn$LJNjt<4gy1eHP_$ahCg>*{hxdzz;|LJ35{ z7Tvy)d)$#XUQAKu=__^a2~^IeLgGr!c$M3$r$5Ob>1BFIZO~mXXO@>uCiCBSx!obD zAJFos09AYsAW{~;8gaV3XYo>pa+sp+$A_lQTXZ;W?WtFK9o1PEkM>5c*T$aw;jfHv zZ|t?l{zsqNeBH0GZ_GyundH=N@U@$$0#Kyk%%UMZ+J`C>J!jbx~v4#3@%8(&HK zEVC_pG{lZ)5hD=(q9}I_{}ws|6d->CM&zgWHaSvw08f#GPTJ>>FL~;(k5}n^3$cSI zym+DxdMt72B1gi$3iIbnW=;?T1&FOW2Ny^qTmVx*tiKgKO;NPeN$}{zNgx>nKpt?$ z7z&F9L7>P{&h1M%pKGMr%J~5z$G6}tI(yewLH6uekUFx6c&Xs60HBJtXQz1)p1~5P zEX=z|FTfSVR>7hs;WWc;ODlITcbvZRdyv^Z=JW@|4rBuzT^Fl-r{dP-#?MtRN&*T+ z_P%UsgPN-!WiFG?oGKw9aX{-y+B=%M`o4oM3RQ2c-WO?vPDs7obM-smjQ7he@vQtL zL~IgB$sXM_?S$4txkIJ^&>#BY@fItLQ{<7>Z7^3L-3?R9426m$6$4cZWDyXrIZkP;7hO{5?5L(?{ZEdu#;l(DbeCsXO` z!1_1gZ=TmQ1FO(+eKE{wrR%0=57Bnm3rbXRVty9`5(W|<$$Q_w3veA~e_<~y-w~vw z59M$g0F4Eupm&11z}4@-3-)lxbrzg_K*sWlX$9dOGJwc?v?HL!gp}|;U$O5ye1wzt zk#`sQv@*l5%8DFG6T=f!56~Z#bQ&-EcX6a&j2&1M43(wuxKyTO8bJlBj?%lt({KO% zf9=g1$YEJ>qJY3wQ8XkDL9NA^Zi{r^i@YO)gX|RJweFpGq^UxyqR-2!v+@NZz2RO6 zuushD%HSV~(SG|k@eQdOmbc&N>chJWs?@x;xLt-U)fcF8y(86nGtl}}A8wW*f>Mb7 za``G>80Fi|iQY!s!~))z^mcIoc0U|yjnB6!&l*YF!sTuc#a8X4%4pkkyFvK^dDv+V z>rWGv)v#Z)V=~y<0E^<7pKg}FEiTLLeb%(Dvf5{sAIRZYJI8r};%1J35ME5s$XUbn^Z8J?76UM0IxHw_I^ ziK2^DS&NgrFlxUgdiHz!`5wO=-#Z)?D|?jy(RzFfUht8SFX^6?GYGwTXkTDDj) zN;qgBfmlhq##=Pa&m#eLjsJ+jd%ZD2hI$C@yH_Zkb!XG=kedBt7$vI+jFJd;W!>tX z$E^YU(wcHP&}U=(qo)bPXD|j2pv>SE@eqzSczCxW47vDSO7L% zf((Lx15U?^5X|whpIV4_r#)OozlRPUcUw+0vY=f6)vz3B5IRAeBpJ?#@kRcoB*d1z z41sIGO$ve_&0J?7(mC?G3=kWMB(cgRRpEO<;5+z;|9hde%id}=sGs4aoU&`_yW_nN(mU!U=gW>ZT=%55on7oZXHx)}{3O2vd4zrsfb~$?kHfjcD7}=? zW-Gx*nobBy> z=+pL$tBw%|W}h%*cpFH+g?FUh_$_hvCmbL5`RNgdSzDwe!WI+AWAtKr=Os+!^IuV- z;(T6awgfp%Q+Q6ew(0s+)2{8e?e3kk0nReO$?#>dZPrEYnO}VVLNdOmO+{hnsK17T zE9pQQ-KC^IBpv%L5Zw~apom+Xl-g#$#Z4V;LXo2GorUbB4IsYu9G-+*{+hP5J<*Bd zJC~+_2uTjPObm({C?ed7DTYitc!vN<)!TJ3?D@Emy3?WE|6NQ)GgO=~1}iECTVV#m zc;?4kh5L>=GGFC;>b|dk>(o8c>{vN8>D*=Xw!AZuV1NJcE)b3a{|>kA@2G3xSJs~F z2VBHeW${3J|Bk36cM%mxQNZKs-8)}>j1m;am1y7zPt^A~EGN_6-aY+A-;>e;Q8}Y_ z1oVCYL9jOhee|Uf6E7|)FG(kQM_R&uW5^TKuJQ`V`$U5_>hyX55qh}J4kJ|Wc_N8e z@L=#l3>jOgj;-jHTe!@LT%!n5!4ZKjnsDD{(lkvlh&Zw2J1f(yFysib2QxENi_a1b z7(|7p9A*oS5Wb6tejs8&R>*g7#}~)WT2sV>}r<9ZiytG(*$7A+awliACiS=^57tV}Z*6vyd+}4>^)0_b_BbeN7hHV?H1k zGAVFIMX0k?b$UG?OO$Ad? zasY0Dts@Bm$)G6rhpJrTmgtMgrzNl6(Na>=lw?{I2l3up6&C%lxi4|BHF_Wav%mhG zU;N}B{rtcDbE2a@|KR)1iI!A)^JjmTUj6dx{}H_6u-oTcpVlhh4D2?pX#D)gfAG)# z;J1VZfBrsbte$>U-~aia z{@tJd&Rng>tI4-NSenZE%Msd@OzAO8F&KT$mV7`Opvab zn(^~L{p(-+!@p8Y@MnZ(iF0nD3}4Kx9RwkM&~u>tNJ*#(Rt;+aryX{ET24I-VD>cO(huhwQUC2 zE6*}@RltMa~iK@drL zQ9S$Qicb?ob()GJEnZ=hRdC|0Zg4|66Ni7<5HI-lNJXzCbxl{V5*&3t-`7un^k7bi z8(NEy(#7~ihaOBy?s->;PO@*v5Sr+nkl7fS85{*>KeFaUmzwN;D^&a!shDxp&ypH7 zQarg11?^oW#Fln^9j({hZa0OzOjEm9R0c6b;f(80(=D5$rqEPmZkMNSce+N%pA#}r zB=j2q{CFTnj%EK?aF`N@oASCwzdiloLop(B>b3^{4XV+{P@TeWo+s*!Eth1$szXM4 z>bsEh%&BT3hmh?pl7qgRVK=;r@OkUcDSJ%W{+qv;(H=E=fsO(=$fBq=0HNCnCgnit zRn{Xkov`nZwnH?Z;8wr-(U9BEplpZfq$~l)*^+KIb=ffJ=?pEGv5^}5zQuIG7|yh- ze)?nCz8{K1S58>K5%OI4l2|Rwrb@yo_amFqRE;=5!h!sHJ^ok^Z9_StVXOrQn}Yrr zTai1}5<8PuBLh-%74EGnaB!fTLc8{df&o)U*lX9*8C+0}H&v6&p~>0D6V16^i#G`@ zIm3WW;w(`$Bv#}b1K3qyxJU6GPW=(3cc5-OaV+m}=%fw1qCQP&&bci&fp6m^4JEq@ zstk-Oy%8JuXfwo3a#L>Em51q7l;2oY6dDz!GekJnIL^CWW8><51=$SaXXtSLehgkrQeE-nZi%_0w>=ImM4R(B)2L< z;KtZQAZVWp5^;ksv65w^9-K3WSovSR`{oVJx3qKDQ|%N4*$wTQ;XP=eA*Y;<8t9Z0 zGlC?MMK`(AS&${TL5}xj;saDP_U{esuWfnX;heL4fO}QG050c4`Lo|-C zO#f+GXeKxXEF8^&XhRT4X1#;^+vACyfB~Ak%iD(CQg=;Pe*K?yJ0ylEcFOO%ZD_rL zC%fs=i|C!C%^XQP2C`!wctWJ`U_wioWAUlW0=H)YxZ0i{!ALcV7J%Jrl>RpZQCgl zfdwp307%iKN-aP_`~92`1{tSSw5V{Ly>Uz|pc$=@Xn9V=C_lJN*dNW^^K=<2$jlC`qUX+Kt(}n&I6qxKgorBONcC5sHZr9J6Zyfn8HiecJ3u zCl}4Ur_}XVdqQqyt%%-?RzkEwCxu2L8Pl3!52*VAI0k<+lNfD}4sj!~}#vblJiLi}gC z>yi5Vv?UCfy?b7cs@pm;5}6G_j|M=%FuNc^8wncn4D4c%Il}X%s&LIJxx+PzO+2GS z>L0+#-`S9XGRO{NMKkDoi7Z5q_?{cx9t~f>jCwD|^*r`Rv}Pk&>WTBS z&uKLU<7k|8(gtrvhz3ItI37aIvAVO&IO!3F{%xjan^8rI#zGJxf`QDrolW!jv-5@8 zf6kjlnjdgL2CEkQZb&@Hur+jW^tnBY$!>7oG}8V6VGNEMj~{66rv-M|pHGKp>ZypO zCNUoX@rmODrhCa56l?@Son~|-0Cb!0b7MA~lOYukXlnO)W|cUy{A_~fi0@UqDt1?n zg%ugn@gQ?(7F*Fu3LuJY$(b4f1Y{o(Ir8kt(eq9`BT70S;wp!Qzih}%Tw+`wXbB?A zWX>bQeXNUW1-nj9v%!oUDSqfVNb5r6pz#1)0A^!-uA)~bZGAeWsELaTU!P*~QkgwE z8kWl~Zd9n2+dA3< z(5tGVkp5bL@u96B3AqRL1KCgXGLdp|Zw!Qde%GaPRyREI1^o&}d7TePRE+#JXo&0G zg@KcD5i-p%bimIiWR)X@a9fa0BgEvP;AFV72mbkk;QT>&{s57KGz50=-;==t_y_90 zr=Q|nhQ8zu*^j$|A1`p9_?f+aaH^-DZd*LeK_E2VSpnXd#^pWY-irE?T#mb5dYnhaW&9xJANzamIu} z4Fuv_GBnFP{S@)XEq|uP=%8v3qw~VGbjw4t>7|(hKFbZ6k+FXIoza(xXGNqa<9JSh z*0(fW6k`g9j&@ds%IreMQ;6su23wTi7TOAv#flsb_xXYBrGWpNS>c(JSHSP3R^%*) zMb7yTd?&JE<&ouc_Jhbu^m(nv?;{yQT>!xw6B$w@c%1PdgF_Kx3NW1j?kuNa({xq- zz=aWn#JLj47NaGQUqYS+-(e?z?VmPgPza_tB932@XUj)2w}~iioOb3f5%MDp{GGEa zL})B~a`1`c_&jld$5&%_C%G2np*T=WxR3GJi~=$qvwKZBJ^I_fI)-sFrW{SLixNoX z3wXW2ZK6L_m@SXh^i9Gw#qt1;7H=nLyI7SCQUkqR=7&BnYfhVLoX#dReXzN_Bg2|pf5x%H83k?^uEe*K_FNY27qO)}a^?a9cq?&l zvw+;A3s|C>3t&1RJr~oV?bWzO0mSwunKg9cbIsE+Z;!OB3RmzYw2K^RLlGLMw@n{G z4!BlG3yHoVDnhm{$kbTVW^w@xGPr@w#2yD{g5z)3!fu=}x)YNI&;Hzy<759>-bB?-^u`!bEWW0-;?j`(2I zD2Qn|g_hmcVq9<=Tz2P<=?J~{Y5n2cWgcs3XOlHh*g#;ocsYTuwu9*HKC_Tx+a?nU z0R5M*!kyK35cl5Gh6ya2TQ`^ej@>8n{sT>SV+#6Gb?91J^om z`Z%=yy}$M5%|n53jlwAo$bJl>*jRrq*pI;H=IjB+&$Q_SEXc}U!vnuqBG8;_sesyo zgvTV}e6VqQP?fY3#$oSUT#Am_Evd6gPEW?yAXI}4l(z>`VJ?Bp-Ks?7F7Mu|GYIr^i_~ zKK6~bal<-34~*wwFg;I<=W#kc&y45k$c@EUz3T>zwJ~uMj=YL%LJfnRR1D?s4 z8&8ZGuX}+vJ&%m%Q8Ya_YW0#yAc09I8wFx5_D9+&WB*xj!_1BgZZyo0RTRJ2Fq0u~ z>QLV|8uC2iIo0>Pt zAuu&KovIBCI=(yBi&K|}78e)xLsRu=T4*#azR|QB>c#H;H(DaD|JPe1zg=&U{C2&! z__rIXD8F5Awe7vLItFAbR@CG)F`As+YVwVV#HbXQu-6PccB$|pEzOg3DKng2mF64c0X~F_!B3i zXPHm`k3X>_79nC+S5I8pk!u+BBtG2ZJzTPTVHA=Q;ZUDeK`+icD~KGvB1xUZ`Y*<8 z!1F9dV!|oNiD8#uqM?>Hp(7Z03D4@TAArPEMX^j4|DFl%X46;%dYjtoeQp)%(`c< zhEja-RKwl(iE6XY9j9y7F#zgnby>E{q3k&%fHX?ZyVY$npFnV4C7AfcQ!lxeJNqG( zJOgChPROabAkMET6X) zPPgoARv@yi3Wmk4?In>%y1r!r8F!}@b~~Th@MIEW=9puL%*O)2zgZX8DiG%n4;?}B zsJqeDp*}?N20NlbI#usG;}2);8=rrss-JAW7h6e+jQXiz%dweo7~$-WC9Zu&8%(!% zL3_qU&eHsH0F(MRscaX|hl;Xwi0>-LJK;AjDIz2S@5@=;30~YO0<_!qh{R%kYWhb{Nh}gh|_=mA~ z&fYLo@CE&lfo3)bL2Fe-wzf#sX0gf^=NTP%MbE^r+l_Wb&bC~EA9z)eu(a$}I4psE z&YMW|4ssTj3|lUFMHj8yy^tBtCv2QpQ8mjVQv~%GEebK(Ve(6ZMinb+G}IK48uG7-N7}WZ-v_vwe%2{$oo@)A8W}^Tm9K-hCV>Rm) zXfoRuWFI?xUO+9Sxh`j4Ynjg%dA}WSQF28kbV7~g&H>C@562v&JBL(n*B5=G%3ibJ zibpNiYZ^^Uj#-h^Lohb^#4leVJ;s@7aq;`*n$JI!09C*#yv~=QWbB2oah-KuVsGP) zkl#ip2j8IW%3nn5u8pv8?IW-$7u`6*L=OK7=ez}ugh}uM&7e>H7zUy(@+C>ji5%R6 zwc_X6HwWCgEb}^F@k)!gukhr1wX(7NWgluT}Aj@|Eav8S3^#@Q{;=7pNiSQ26o6+c6v_;L>AMi_n zM?AMTVp6FE@4Gz`yzlMRsalow*o^ot^Hpnc!7BC170asGm$jnAFL`NZ0WVYaEb@Yl z8R}HZGc-1KK`_7-Gc~r5^UekC_WK^AFlUjRe>O;)FG|MR+-@Mz=(GixdunEFej6-hwdnyfwxVJtU*l30*(AqtA@% z@9W>_A^k=>wVcd4q8AEL_8*;F)RVAVpuoY#rhe3$EtLT^?l zjgGq@fdG=o%cM@9g-(skpi%S_W0^>m8Gt~j#)w8wox?BZN{v3_Kx9aekwvPz@QkQ> zUf|tP*U?WwqJF|Nsn8GZT+WITjveU-Qemv5+V!+)?=LD$sOx=*E(^U#RhYP_F!o6i zd{B*oKz^cUvFb+u&V^v$Ii$Oh9-+cSRY((f-5f6}#O;a475br)TZ%hf$4#T;&hyG#pIv^15hx#KDOMSX5~mvTR4zU%7x+ZVGfv6g6ZCq18x z4a6fsnPMB&%z76RDQxUCD&LKhnf~>xyGV6o}O{K11;$YvN*3Z zfHxXXELoy-CkfC-FGOGZ+>%87glAG`5X(I0Wn*8`jK}H&=Nh1T`8{ zn8;{8@a|F{;ts+{e!?>))D#zrP*yF}R5Zs6^;BK}!Mwk$kouly)ijH=Py^PF$n|Nh zW&McNxQX0A)fe6|m;N|7Le+_px^^Wqe)X*O+^pF1y;LnPL6+&>^iruA@IjotBpG`% zR8y;m)UEsCx?rg%A|81ujY?IWOad8cgA%M8x=LA-mupLuix|v}XWHpTcL_I!R*Fck z6g(CZ8k=dv3BkfZDyBtF2{^$eGe(IXnTae}|KYD9Xv6t@7N60y9Grox)egaXwj4d; zw4%pRYwN&1!bZ{x;WowY`5av%j_|N|HemXp1gKPtYxb&y`x~Q09f^g0i9infH{dJ= zd!;JKB%GXHCF4U4FTf4 zS2ImZh|Jn^Iet07*|91YE$4DL>#1(Q#oeylPoWH>D0k(qboLz>6C^7ujGg47 z0vbV_0jFq@#>=_KHi9>cWx>G|`M?1NCw;(%6Zgr@$k(+k$Qnk=YOa9B9}NnUffXiB zda3M9vuD@!R&o@QRDpaIHQ8dXwSW^!ns#eexii%Xzy~C7;5nmDUiIogdgYT zOe1Cz937!lsYS3dFc{AqltvpDc(d3GgpNq% z@Xf|a6Hj;Y!wAqw`@(KyB+-1Za-y!srcw1+Kcsn8MZT#k8+M4oSxkqstPVc50BfXgWqLv-pCG)N4OfIaG{Y)nTX(JID!>^b)vk!wP9LXjXBRFKbPd zbEjV3rhqN}u#r?Hpo5)1pHJmjarP&6-IIvk)CAozf^ngdTY z1!(9R&XqRjigJ2J(QSETeoLR{6$UmWphGP$8BW;?9LFEDL`&Zxpr0?|I6i75bfxgv zX`)14s>^QjlTF1&esD@NbY`8bJIb*;*2+hP)LK7Epx?FyFf2ILs#L7>7H3hIR>qYkrCzRIuS9+V| z7&th_gFJmTka*jp&rZqI;h4yoaLFn-XcE2(NAS;NbX#Tgf0Z)I&06wNgtDBz)B2FD4?-apYIR3y};Tw zESGs*2$X@(h$V>=#jYP%(PY()4CWPCs!fX}zv@w$BnYILB=y|TiYG(Y)nyK4-?JCP zmR8Mzq$1*AOpy>(rLmPv)x!5fhmZwFb)z#rW%D(U5Ei%>{SC46V?nVL@O0- z>SJuz=c&MN^_Er)Qr;*HI0$F5?!2kL`nD-y!8a^a5VcO$>TT*A<$9woR84=tqGis12YW7 zBn}`L2}%DZMkh$;CDBMxMnjTGOg0BTV-*MxZfH&LmeNA0N6h*(F&Sq2&^xb(%;b4J zS;}Fs2tGw{r$?JZFN~}i*qm?H!*S5FdU(;D)x%TdBq4r~kU~&Bu>7&AMO04|S^vj( zly8x^c8RCHng|i8TJ&OxdakVy&R~8qWK?6c*(^wWAp zn}mr`{pf++aNv@yFw>>|@r>#(Lod2U@4xzviKEV010CiZDaM<;0^U6JXx`e7+hW%| zI0$}WIG-d2m_M+VY3ZV!{Em#vvd!h4l*cCfD`rU57t>m`DroO;RzQ;Z-Dxut(P+Pi@nM&5DZ zX^D}6b%frc_VHgPlnUD}u1@F`AB)DS+?SxG5MT_pXq5mUU*uW;{;$(ku*c~NM-+Zx zGx+~%XywL?geOlrTAYeyo3CluwZ#$RO@-*h?|o#hW9&FP#1Uyd;6~E--jiMz9}b1U zTjR>Q>^l2UQm>zoZn#3?O7!8lhb1GMmOyI?LQCG$tQsrg$wWJN?~^^!cRVR)O!v!y zbWqSPdl6W=t=Xwo>0HE4UUp?yz#_ruoSV`s9+Ee>{L%F%n8 zFg0c0;M#wW4AWOA&q-Z!O#@MocHc+7lW58Y&+dC#w-seFvs4sDC&&VOGF*qcL+rk- z&N%M@14Qkq;4h;{)6A<$lb#r)!}uC$-DfzE>pEakG-E&ZHm;47XC2ue?}KO(^^CUX zeM7brO*)L6R7=EEzA*WwT&J3}?@q!tnfAY-tW~U%i?o2_kcq;PG&&(RhYWS`IAk_O zUFR!UiL1QYW^UnLQZ1$gJTl0wk-hT%9c10SM*beH4zW;myS0##bp{A$NuIMA7%&(_(i` zL1IYi8`JlUNMnqUY#Nl&)CS`vH+=7pGnSvuW-LIKNSkA**7Cd+t{ZyBQAeapcbuc6pp6P_fsNV+Cvutq3ZbG9rdc#Q`S3M~ zi~YAkdz~?WJY0!+ni1>bh<-tI?+9zA<>;P?AoEhPNT&mUu@}bE8jc+w37m-_&cZaF z9dcyP^n*T9nfF5&xzvi;p~rLW2(HK>O&L7RXh)zaz)=zL@b-PtkLP0EoP#8Z8TiZC z=(-~Z*N?lzk<+E^>Y=vN_kr-?Mqw~J8%b^`lv0OzGr}OC&BpA6Bs80WtTcRxnfGnk z7u>9A<1<(_059~&$ca7Lm9gI?8q=Bw**um5v3}8-~;KT}v)4XcI=tj?>x@XgHqW%Ow06=fEk710!%eiH1_B zqki-&?TVcU8Q`dsTzpC#fP2M!NkJjq67fTG$Aa9W~KL{IXclSGiC{Zu4eU?l8;k@&OqX`P6_FB4I!~+N%3b zUY&aODL(asyaL~e07_4v!oq zvC8s?vQuw?B5kQ?ehqO1UzJ6lKjb$2Cy*lE$0Z}~8U^T$Cf%4px^g%{ZNC1il~hMo z7)FSX+Z$S?6Q|nI#-eP21xpRz=Vm)yzWc-x4+bWUGyK-r_domH4X%xuAjoC>0s=*8 z1U{72ZeO&UpZ%^qs1JA#;=m!ehY0}Sg02JmtsnOGuFA^;go5{YSo>&Zl<|8=!Z@^~ z3B)8)^w|7WQN{f%fL<}oV@FQO*E`zaopxV;^|K#n8KdqL)u%+>diT9IZ*azim`(P! z>){)M+}vs8}I-dhx$iu!@fP{u-}{n*fzOB(UFe_@gUa=1?IP_(#@g3Se= z0YEzDD-6yY?o`0Rok(%ov*L&xbuUmAcPs@lIuS5;A_6V+5+V4W51c2cD>vHlW{Ih( zVl3!+=@o|)(7QWDqZ#@R!B}X}Rq4F=!pGF`Q6hVml6GhNSn)kebh)KzrrESPf+p?@ z#LsAdwvVC%w-o7*IeXGMh=n;`Aqn7)p6oq2fp0)YYk1Ct&p1gg`onup5KYa6Q zSULqiM++kUmyiKUQ{y}uf~Ptxz2TUTRHM^Hvy>Y$v@wa{8g5zeMJ!ElG-C-mop>ok z*7p%=K$Imt#I(cN7eFC$a4?8n5|&@y<>=HBR)rkaY+^BoGxNHn#jVTRe9fL~*GS{m`-A=7UKG`u zZ^ApQh6h~os~Wqf9|0X_s2V=lhmfTfpKFoWwSCDhmQxipi`Qi251nd3IJTf7t{;jG z^Nw66tNfx7A{eK!Vuz!_!ZiN9R^uv<0JQkEm@&7W^L0Y92!OL+ak4>^KgGY5|Jc04$oT zeZ&`ljLExdiWZRTPB$#}w6|vY0Z#A%2zqs~-1TLl#0b@P_~>M|2l~ubU$5828%!EI z2K?%Ox4ViLUg>%r>o>&+f?g)9)4l~GF~3b}&Cp+huKk`Sww#5w8Q_RZqeay+ zOK?J!jo+_!6z}qQZmseoS#u7%+h7v1P5E&pO;0N-=DwYlpX*9jMXymqw3RPVNRf60 zp9~lEW7%9$!;F`CobkMpF7NSZCMJ?dG>nG4-2HQTvhX3$vVCBmli+=nzIu4^m5)Q# zeoG3yBGW$K&N#^1{UUGQv5(+@4Lk0Em;v5p>5JVVxSfH(%t~9p za(!;s`3~Sy(r+Ec+ylHL`(f3LE;W)Hg2~FI;uagvJ;K6T)k8Znr`Xqb?5Zv4b1$u+ z-6R}za00$UJZ|^wlq&b27_AG?I@5r1-4Kt*a#*j?A6;JU8#oQ|dEF~z6L1Z(2f}pL z?`KoCF|rsNi{>%*6vgKZo`L~}(qY>ab@>4!mQ(UvuSzb7D>8X#3{_3ND$d$-Bwc%t zb)FCR$QIf2tP{Fqt?m!hnwGH#o~uLdwwK!hQ6BlCQeDzj`5tg#8>LIIDb{59t9wP| zUB!R%YB78{6z!Mls{3fGbRg%|{U_g>GLNufO`E#?0q!2#^6+Brk$FmxI79eAbD-In zjHQmFnrR1vAlYVUd(L$A^al-sV^>dq(IU#AtqM+>OcR=`a!WwZL;der4GF@+_Y2zY zG`fy+qGT|1a9_?lYzi@4=o@=Bb0!Tl$4GEVea^p0>Z~#L{eatmVk6hQ3>~PGeO%?- z|47-0FL&2J{cjJ&NZB)F6pYD4fGRpJGW9c+>;TEe`3+3g*RbT02HTm*0CihYIZ*#8>`$E*0Y9p)8K@@_h?ak_PX)F~Q0h z&11ob!Pz&+DTM7ujo{>JgKU5U5*659L{rp?rhvt^$`L)@ZO1d7E%1&V_byF!!U5%A z^Y-bhnheUimOKwe1%BT#wWPu^B9M+TyJvcPIAp?(U zn1Gjg_(q}sii!ef%1(@maIQjvpn(f~e+F+*i@x(3ifYN9viO2#j>6#^ zHAe=l3s4QP(JfF}Lrd8)zvMD9^MHaR4ta6bgD}%(pnd6rDTOam%FG1Dpp-ZnDgClV zqH85u+VIlI1vz%Cq#e@iY^bdyM94EY5E3v~A|(Be+*+i=8AC z1DS`C-l_Fle5U55uy<)D0Um|3o9jxkc19EA{XEF6_YNnDgbq?-X>fAiy zz9@^#;v1TZT5PH=S)eAsi*53JAt{rw1{~Yh3LwTljD`jMrNsjJLE;9$4J}JV0@2f* z(cXmAqQ;$qy&X1i?)x~FW1)h(2gy;lwGp{i0x02v5)iVEIcImcDt%l{DnJSZvlW|7 z$;`t5=J=%TpUO z9&x+{{?}De^t>fn;6OmvC&$Xf%n^1PyM;4QD5^vIndEjP+$WMsNCIQp#_7d)f z;)0Hi=8m7JJgzj2P9_TM192KwP!-|zP@VSd(2AzAoxP-0jnAd3;jsWVvuZ4oL?Nfq zf~Eo-J3VswZs^Fa-?9#mBv$!=E9o;9JiY}xDD78RnlU;T>EF+p|bEZW0;+8m} zPp{xdyr(m{Lt7zkQ1*IzhtZ5LRqzTMvE}>HFAE^}2^08K0U&F+%Na>(>W+~iqhI`x z0gCpF2FYS2E3;aV{YS%dl84qSvt`pLy(aC<@@Z-yD-XF;cY0o+EgWdt9q!qR8zYR% zdzPQdnaeRJR=6~)gw_is!@w006eUiwB}T9EN>2+%FkOl9RC%lFi1NLPn}U*nsKcux*JqL&v76 z&gk9*ZsxtRTJ$h36plQm7+R$`7pk$$PP0;wGN#&^dcKiKaST$K70%l|Ajvov&t-@5 zf)ZrTj!4NR2zs*EAEfo8+|Ns@9;0na%k#*?P{C)qR3mvq^JBNok26jdLtjl2peA5D zLV`UaB9M!zV`RtVdDa)xIrCM9T!0Y>LerXN36Q!a8DnmSsZNGCgH6d&*dU;pQv!7J z650S#i&C4f|3B{D=2ez$+Y{RN+>iGNswoJH5E^jL-rjT8%lMAiAc(DM*b~Kuotc@D znXxi5BX@kP+_@;Of@RqgL0f|2@x7urjc2{$$`gx+LM`5ZAofIj9UFFq(n7)U8)MFh z8IhT5@3ZeY^+fKuYp<0#=a}CgW6UvrKk9!r8$Zg>>$|U6`VDVg_qI~q{ZY&#xonCv zPZ3n%K&NEE(Sg&MaHG|^wJoZ?y(i z?|_@SI+)|SSgIpULDQ=7ytI#RlWLsjQLe$sSOY-gpr^}^aXSC|KePN7wwD8_Vm+lv zFqZmX^Vo*lDlB&;7|3>DAWI$qI-EcF2%L`}(s%(UJfX)epO@<8@4oyG;0&O{g;N6u zFMEKUgHlIn%(r26J`SLAhNCTc2t{xpNdtH(pmN|KEc<L1{=}vjoB*=kQthLWENpbfM)#_N1Ob2sNaPNzq2i zKx#}Ccd%7}v+UAedUdoqE#O*YB9lZrfA=$jVGiYvw7C}1ATNm(k;6n~PD%G)u5-(-{5K;xoLkR!|wJcYbNDfd7 z=&qWw*P(VdAZ1mpp9?1QFo|-~t0U)sqJa`WALHQzC9F}nlLCrDe0X32GQX-V;Ac8- zU1HPX^*%WIv@6%ovW1+@8(3#a4};f8!d_o#nz4o)CqCK{c&dGJ_b-25(H7WmmmE9K zj$?@ZjyWPaMBoM;Enc&Af%PpHBqP>mKeUK;zA#R`Ec4=&#`*B_7kC07p_>(wQ9@t{ z#6Ga%(e4O*Z5@>j;vKp*_Pds3AGB0>r~zysL?ji+O#DSAzCdl)14z)w7un)X2Qv6P zMB*Ss;?!$a?tyyh8L7~Gb{0azI2F>v8)$43JdgLf3W>*_LqQUIQHm-AG(AJ#fq!)0 zbzAoEavN@4%*=H(hY~>Ea}D4~4&` zTGCyNW(fUSuGQovLwH>0`_aDk z){@Deyt|Pnr6xYA<+885)Uf2xX(M0Ky_D`}QK0LZN?qNz%i_|}ZLuvj@0`8b+^kF# z>dNftUacWpe>l*v zJl^fVXSMwL)_2r;=kk@_j&*P&T~<$u3F(b1$4Di`JF}S2Oe`d|B+nN<&IuO^GG9T; zG1<9>LIL6$5GcxZV9c5%DZ8-Hr!C&b8SsK`*~&Z7tz67v?vd_RimnqJ;LNUm7uG~Z zF+mj5#(bXZP{0v%P0J%gsE3x-242Mj0aZLI=HDlUJ@>sOV6h5+=hY=VR^l(vE+MM1^o zVM1Gmokm2^4ox>=SW2;(s3Yr?rj9vSr#wa4!x8DXYA}-mHe+3HTbwCEEH&nV<$I~1 z+Cb$l_#y|VSeFyF&R_j}Ag&s2X0++nb;XlTlqYTLg(oJH{<3LAb}jagt%O)tAll0{ zUYDW9YdK0{fEXxROtxlpoV9YlmMa-H`?*9Is&2@$KDI>mN4#XOi?st2uVuBHh_q%p zRl!J{br3vkSVb9SKGp@lQ>p7#n_wsPfySQxwX4ehPL%=((OU7k&_2hu1M|=aO}!Ko z=d26{{9tu`SBPK1RT;uLtlbNS?k(2qvVd&?<=4ekZ_vQ6XtvnW^hcPF1|8Tt*3g(q zvoDS4+2^F#}kY5a+3Gd~mZb4mP3#Lxi zajLdh=vhzFt5Ad6$@Kf`fsh4(&nv?W&Ml65*Z;$J3Wci1Y;Hl~-DCH0^_ z0_BmFRjWVQquV%{Je9>`J+15Hn|r-m6UjTv))BA8Cg%~8mG^~}1} zv0HQFSFj;=jJhm%)$B4zRVZ*nWPa8sJn_~Adte+5T($o`j344Sa?eZe0}hg+Y|1^{ zG+zFgc1aKi12V1=ej4C%hB*?3d=AkT=RU)sy3*9RoFu3F-UplrI=Y!ItlJ*bAEWtP zDB;?D4{XpdL&_NHTaW7~?EhU+9=$2#0n#Q}inNKhK9pTkLM?8p`b65qUOlV*4t}Oc znLlK-hkwAv{>Tn7bZ=XM6a-Ac{`)9+$QB{K&%CDBA!m&D4x*)Ddui37=H%%^CN2Ia zKRyR!#59J?gm^^)IkFSZIUrLI83hCBXc{^r<0Eyx`!SR2CyNFOKp2e!pPNFRfD-pJ%Qaz_FumY?_7QsyT( z{HCq3C@phgue8}Isb<;YiqJC3K=)*exkX>8nJp(=k_+yj)VFCM<0PI*`}oy>Z^xk- zqNjD`5OATxFrc!@Z$@J?{?Cq9Q*%@mObKPPKz*% z2#^;cctmfcWe2?kY3UvZ7C4Sj3P|6RI%ujTBxM)DlzTU$q-iQi!RX0it)v{~mg#}` z)`Qstt%^*KSxGTwi`+{{8%0tCcwyy`;&)xyT%zxgHbq*P$1=96T%|SWKM9m`Gz>NM z@!+N#W(J~l{^hSe+mT&p(^FRF*^Xn=fCpN`b;5xso#EwZr)JX4LKw-th&E(%J{t1# z*z2E{#lDnXR(}ZK@FUemr$aPa>ZxahL6wi{IDD8Jh<~PO_fp(vTVP<0l)~6#~{P2;gI4sHjNK?{VpWGsP zM_#zTS$Y5MuZD}iVdR3!IVb^a7G&?DNA>)ybpp~^VUE&l?%HCf5S6{IAB(5*q}gCdp93L z*U*YuUV5i%dMQe-*V8Pg`ix-vu|Niq%PsX)uIcPk%rc&}Ch>}p4EtvWDh`A-ID!ug zaNYa$MX|KG3_%1A-Ynr8PuGw2ESm%*QYP#qIi5qnlCch&#=t53V@-Eq^q^2h^q#=4g?d{vVY z4}+iYH3il(9CAq;!X@jy%Sg>3?Qv_mBE#F9)`j7zUx^WT43XBM&5!L+Gx$O9kpMWHRf>#uA2r>xm^ zp`U;*o0#XRn2^Naggw#Ptl*)#gyom{;YrEFN-oNZ_0f~4k*g6e`bt8hN=Yj{hJ{1l7-LfXRtnp5XXS$WUS0^aR77OUTx&bYiL_9$kf+nOp4jkp)BZy1E zH@c!*e%C3D&v$Dm;B|x8d0MjN9++G`p#1F)!;9^{2KlJQx4P9xgt-SChD_S8%Yn}v zXS$t?CqG~>YxwsV$iSQJqg8=;+8EwfYjhaTxtfv0?=0E@nDK@zFjx*%e~o7nqdJ4Q7;)wep6v*oh_>y(^mTr-)t={S={I|?mB9$aMs%W zW={<*>1IO#V1b8oK;D*5hT^jYNdy~kh6yrsoAyACZb%Cjj4;UvOeI60Oy}#3RqU(-#&K{in&$dT$9UD_bNNuDflu>Wmwo72 z-_t)O7Lb(*jx-86q$zUFox%&|0aQr`T;>?weQaCn{r@P1Bd#Tw+Hm@?MuIwyF>6eB z%6}gM=b+Y2iAeCy-NE8F{Gt=mjj1Rf8L%3~mgVrTh*y&yj_=m@|6|`c>z|B} z+_t9etpA9&$okkVU%sckg6`;V*Zw9*2t$In9kNt?@&89b>N`7YoU-Zk|F z$KYnnAi%A@Q&*S6sYJvZ$hBa&WmC76x#AD%b~Sz|yNHj<9*XW+zTlW84;FYDJyw?7 z4e|sgPb4*L-6I_<7x_lw#+AnJp+8=}?>Mu_WSCUW9y-km?2)R4VQxDX8G5J%-Sx|D zPerm+E=f0#vcWOUt|R+ci92Oq!3s~KIMl|MpAO#4@PGk|V%!afhNSSESc*5$P)XTQ zQ|CW}OH)&`*SS|7cWMcwCoom$NP$iV4sav@9`a9W-77B-qrgvuuet#i!d4xHE#p+w zC*kR!gP{OHA-lWM4TO$VFQ+3V&b)0|KPkFtxrefTettD$2jGde_OdJsqTIt91I@0Q z-@TifMtiH=r{Y+2N<6`zN>UAqNeCopu@JQ@ zOpls)4nJizaO#*Tww7m%!NzNOy7rdR$Pge{(vu?F_tPU~&fjUDLz0+x#JeM;&(Ws{Dcs5Cl=b^DmkD7s~+90~IKJZqf5oNGP z$DbBo~B9?##12;Q3tslmLGs0L%R%e1Mc(^qo5r;vkRZ)SpV2 z70EVSkGhd=Wz_zDNdpOQ>u1t)LsE6w&vhyxyp|BoqQ-_=vtX^s}N7jCMZl!P=?b|I;fB3p+5k;n{vBmY0gq_Oc zBQUig%6Cp>#rICSD>d88Rbz@1Z7lK~{FS-FF;{rcxZFDt3D2Wlu@>(33S=V(fLJ50 zVm=<&ILH3Lfnxj&`00cy3?fx3EJrEAPAPFlpkZ6n1krVmLT9fIOZr*?#;f4_rd1Rk zG~iKi_06jGK*>vm_@*gZ43#mYM-g%E{7raXYo}|D!$e&Md_~yVs_Kl_5dLgP!B6_* zm*Py%VdHh(E%8xRfLOyzBp^8i9B2Y$Lm!$PUCzFB*&!XqUK-7SA34D@7dmafq;Ca* zGhq{Kz-XcgU;!fsP*Cnhu{${y7L!X!xOxiP)8c8Q9xWTQ8)5Mz1D)nOLAOBb$F{6`42LF{fz2Oftx@o}uBuL>L zVG#TCI2gT8e0HjV_sQG?Bw+`TD4F}9z=L8cY;>r}A4piT;2Vs1$He#~OlJNxK@iVn zXg3znGrx@j%Oxk~rbN_~C4l`A<^zQo1hy{`G~{qD})J zwaCkyeR(L|=H*Yy{r=_8k9fFPRS5EdZKr5}yxPJ~<~Ov#Qzv+-qhmm7Dvt4eUQh1_ z&U0H=9kseYY&F~vu75O7@upk1><9{n6{?i019u##${4(w_JdYBOObX0+c^SQaFhcP zHHp35h4#0;g7u5`6!ynF7t1BT#o*D|E+koaw0ZD(x^Rw|orsqJ{{%eh*36O$4`z5K znS_b+Sa9eS-Y^hnW(^2wiCX}d)E~XbSuyH?qA{Tj8V`}mbU5kKJVE&srlT7`Pk-c^ zoV1bB(Xp{-ka5;Sh{NFwBH2rWENZn915M(9(jLI_F0iWFdYAwir}c72qcFfVl8)o! zjow&{wF3Mjbpstd4Cr>Nt0$>r8X&mQ)C@dNZJzbtByq~439W+N&5z}+@t@?#oJRzN zF+>(y80(9gcS@YnrLHxsQ?z?I?XL_92rCpe0b$v!`m&?R7_U~Yh7+QFZTtf-UE7oS zt0{0%Aazl5>v$g&xPdH*Ro$u*zO38{hrZZ%B5ZV)7kZiSVS^aVP*CB5%;^V)^pB<2|8tpWv7s&)h^TsfT{cJMFYz zX$)$4%v=@NKko=my-Wm?)(-F9DXS%Y)E_TuUg0a@w?;1Wn0kdo8xm7XG@X71qFdZ> z;1*9;0K0#0%`dn{iqJK@-QBM97@pDFzI=x;8>;Z(<-66bDR4_1Y(*ivifY%c$sC}q zibOZMUaxk*P2qTJ6yXz}oym-#J?lsZVX?w{eIpyDH0*hl$exX5i{0|m<8iNuh)%hYqGbwr zYL#Pu?lI%c%Xg#>7O-ofd)$@cv7wFgUP+*Avr1wI%-KFbyJoR1r~UM~OUs8AuC;d? z<<1fhD+HZMT8;m*SqAF5p_l`$;Y&L!g_=ma*_RJV@N;wQaCoFSYxoS({O5+**Zc`L z8}qxciHj&ZjKKPR(kK1C*w?!PQHo-HqmfzdOZfaT7!FO{gL{It2)Ab+v*`Ikzi zIu;!a1he`MpY#6rL!=KA&jU;hp1;kU)%;!TM^~CDOYAlp_lS~FVVLeR2}=k5@gN#Uw7FBp)!9N$$#&w z9|YM(ml0M}sb8v|7P|LgX@z?_AW;AjA(aM26fXeF5pL~JR^WELxCmP)yPh%t^4t)1 zwB3bnB0VV>b!Q7@u(v1^d@dTZ`p}a?w)J*(b#YhN0~{DA;(*~ofVx<5d|BOT1>G1V z9q^wdz#e}p++Dwh9ljX2JTi%wU_JA zze>boT2vdjf2;;t4=seL!D0L4fp6$qaX}|pv0O}O;ZuXzZX3!< zRaP`d)!J*8I`&lk`hasIVsdWUaE~QKH>8hj;jByN2e$o)11JC+yzeWxaF&p8>YH_6 zV8dowQm({>c3NKe+p!ji?Lh1SBb^KoA=_D(n?|GSf?(k_2vcJ;*9-bq$_ikn3c^79 zwt>nHT|&nJ-j6EdMt%Inn>X7b@_l%c6_d{p@Os>SXI}ZzwYLT{Sim9!Y3U#>wF$UJDz{w^^APS@ z@+yV#Y?foa!Zh;-Nx)LUniwTz*Nq&e#hq!ECWAZ#EMe7HZry;D*-3QiiJB_YmfZ^O z$cv(gAL6vU4C~Ay3cE9J)7#RbAP87mHb}EyyYI}~@P2E-<89>OatO#c>-F5?IX{=x zT2Hi(bi*_+4`v*)ILTO2K1i~e-Scq+hJy~%Bj^coDo$-V%7H7UJk1+H|I3>p(xt2W z)eeVu>lGjAEOvEJoEPKNy+~qv7LJBh zXU+iVn!?yc^9erx6-SRZRnhJX9Zuyh_!}u%91@2w9+}nYvA!763$e@tyP2&v01G?d zv^SsEzl1+3UIxCMgjduJ$5v1ezHMQxW&C6BZfFJEsKo_#hx5mUIpW|+ZI-l<>T@gf z73^>9r4M0hd!}fwWp;qYLX|I+AjCcI=q>~^_2{9Jj#2`k5=J7W-NA$pv*=Ekbzn{|s+rW1W(u6s zX#h*W#!|yaPZksL0nw2Y#9l0-Yk|+F&Ynqw2lTq2k~=DhDjAGUG5#nj2Ebt=qB;c8 z;F*f1KW&k?+D%3B9b=7%wB#YM_8Y5ei4y>+m*wHsjQbUiBI-wBNuP;)>~Sku7Kjsk zNbOVCs$>cj#Y_t&^|;=a&+u-aN;Q96dRVL-c9fO@eLELv`+}CW%hn3gM&`|J z*b-ZmbVp%+dVoPt(=&T(j7PyaU>w261*qtk)({7nyl7u+}a=JCpGw@C@} zLApS4`+DJkB#oB3>fCLAd3AE;wku3Bit~Zz=9~I zm;&*_3SF^8M!<3O<6(&}%dN{Ou&+$`MW914thUAgZS?2MXHx>SW&)kg6jfL4KNyHO zOsddCpIG%woPU*6F4=0C5Q5I$qJn3G$L6mV4-a(cbYMSomQ^plww`z|!Eqn>|LUDb zrx}dlw9#_-ZTb#qqDr4`Jx)T7_KVn5<}iH|8=>Hz5F2?fJ5V6u z_$4t5TFkOvs}mS^KP?3in)Ru~rpRzAg@h5lCH;_Z$qcblAKz(bEh<3Xf81dB3O9o_ z^yTs2c`0}R+rgI>{%OmmuJ_gDC=nJXRTZ_%M}DWu<3ZePuRpsMiut*w1=KBJJg#cG zR>M}>ugkin+s{WPIn@Z#b+zV;=(UumatpEo)=sKIwFTVfnnvHN#S`P|gKIH=`}3*C zrUBZxDMU`7qsZ(t^eg;=TycX?;DC>AI+zm0*|JN@E)B+u_39Du+gp$U7 z;2_*|cxl1BCLNTPl7{Ht>Go1HtMX7SPHNU{WY)?3wpe{H8GodS0WEvPVpgnCh`9C-6mwlolci!L$O z7(ULV4X>Kl?V6(Sgn(75f-PmGdfR~I56#Dya2eovKa)X;auE^TD~1vBbfOqopnyPw zxp|f_A4epS5>vnQ6NL=p zlnqkwfYvcrq!^3u{LUa6lT3_;=%aNEtTFkDyEc)p{2yG@RVF{Q7Jore z(U)Y3fB#JE8MKf#C0`8$)8OYEO$TUn)_ceS!S86e)Xqw zC14FSmal&JT>0<5vJG!%=K$hrB*V{07=atn~_3fVSq;KKvye*gQ08S24A@4(9uJ&|kq67O#H*D;}bh(J( zI>(Nufe9z|?UH;ynHIIMi~7dZALs8(0zY`IDDm|ThsagCsFdw-u%wElfFwOp=0{Ll zjwO8Kw$H0)#>W86;+P_QH?zOtrkRF1rYSOIrjzC|qEDU<&5Ooj;D3mhNp6zB8W(bpqdr~6_rhf-WWVvy0{`d`&((T^`PG0pI=10s9sIVY2Xi;ItL-3YFm;U9 z&%tOZfjbeuqjQKBP)6J+XM^U7)Jr({@PigDY%za|3l(FpcSUv8iXgsK76-xv*{v`h1?7#yS*}E7qg@lu zQzR!~&-~c7hBw8!-D3`bEbybthB;@nq|73lcxTD^L)i6r929Sr1AL_0_9x&jQqNe% zlk1+v3JVe9#b6XbNdeF-?Xt8@4LGNcZIh-6&83ix0||&^vY{@dXR+`hW@}S_1lz{7 zm;ew5klWoI)V<5^uKAtg8b$r4fM!=)_9G9 zKC}6=kimL=@{XpN>#h`B?fEJ#=`TnU8!TPt52Z$~bS%q^#VmkVqng_=PxyV99>DDY#+mlzkKL+g z(;Rku7-p!v11(%S&k$ZQp!??!3jx571EBkFN;tUmYa}CG+bUr(k^n^B1u*&N39*3S z?uR4(e=Pkc#2u7yyKF2@flLxodMEJ)Ix(0_ibL^akp=iRSwO&e{=2fNFa5rRRgcaV zO8j`TE1|3Er-1YaWyfR5F0#y5u&+HBwV83s9hQ<#$x!$U;bt50mR9U6!EHU3D?m`Sx;{Weq#T+gW7#juqgQWc z4Zt`Y>k^2hQRX35ds#1+)Zi6|7>o^uvEKMQ{KtRz=8YhkXm8ss9@g+uUEzYhDfNT8 z<_DO4dH@P6@F(YA(5|}FQHArb*so>!8R+dwx&m%hD{JtC;GpMcxZDE|0@O?EVtw~_ zlNs0es(6GSYz;nU#-RPoj~|-_WJ9B&Wi03 z(+@`VWex8GO=FMO4h=%_dy9{*WPa-JSphn-ojFZQxnAS+IbmaBR^_5RfffO?bN2Tq zB+sf2-V1iBnU>gIswY))jL;LE0M!qxuNDfs4c(%pD-lm5z+baZZuI^q^XLLHjo$;W z#k%jxm+!B7aB%s( z6qpigI9rUs1>gqV_6X#Ho66w2A}}rdcHq8E@^1GI*B-@Yo(c@iD-dq68~rz|`QkMM znEm|740l`wZydgA=)#J%fLp&!BZvcC!AWh8;Mg?pNwz2*0i*Hj9u?gR+iP)DyOe7O z3{$ETm=-Q|MNLBF+71LE+x`frHu_``?=^L`!MoG0z-@OfGzES+3k9z;f@WL5ta1br z@cVBzol(ykx?I9F(^Z$IxKZ64VXw#aJG^tl%nEw}U7krF+`)~yI+aanRnvG@b5JV7 zp8^KNXp${`+EKcW?b0MU=6;3RXU2iaojDnM;!mpcS6>ELF?b_rgBe?aBjZEp)$JCs zs~DODL1N;c77p3sAtl2e7$G~=7JIm&F(Ua@u4IzSH|CR}G~i-*VQ`f%8+_L^{+Gtv}>tkIY?7?KJWhd9dW5`zU?emPq{%@%v&xT)BM z(Z4P)G8x&u&dQm3pfIg_=v7kWtd&`oQr753)_h1R@Ln+UfbPTOOrtyz!{01t5X{EW zV$>O`oI!UClN-6iNgshgNn!gPilu_RFul$g!X8@}$MWN>rKZRnAn{@XmYjd{S9+FT zxjVP*joB?RPpAp(tFeyA@(0H38&dYE1NHc3=l4R3t*^o_ubr7h%;y`oG zNAu9nacoGwbjX(@=H{s|tC2a2yKd-?crX! zm}c`$Hd)2Tmw)*353o=cdVv93!At#VreW#Jysz7{syeGAehcSkN-NW__66k!oQQ=r zf&G+vLh@uop2*~3SAKa2ob_Ua#hJ#YynM(To4ibc;T`H?S7AowW<{r9z6__C5*@o( zNHtS=6$B$eaV*Y7*$zV&Q7a?K57t7RKOOVy6Q+3ij(46|*EI%qXBthjjeCL&1MbFK z*%PR5;9?PaX*|gjj(b8h-LylUE6XU2wOMUZu7B(8&1-Fr?E&^86RSeDen2 zmz3|1@Y1mMa4$skKDYwZ2KF~xtwztZzIBU_tEz|X&@1}!4+rlZ7k71OdQ9t12)!;v zD}I4T81E)&Hr3$PjQ3@eG{2D)X;xKvSiY8s29V?Hx*b4X5K}ixyeWUyAj-m^Qz9W0yTTtZ$FU=414AAYqvkm6Vl~#St3LkBxu0CB$ehFk>0N) zTK3CjbbbgU>&)rXvY2teae= z+|_5exudTbdR?bCULx9wc4vVSI4LgAHZZ8IxNX;a9qy_W>fE zb?~}3IJ3{BtozO8GN?pKAd049Bng~XFV~&CMj#3)J9SkE_xLP{D4Mi3cF?qn1E^<@ zgCNrhm=f-poHy4$A=-ZZ-2Ng;qv87#_d#Nio8}ND>)y{o4 zE{B@}FlAvBW=y7G$aT^kn5uV-Faq*K6ow#;8XHSHUuU-yV~wvG^?bQnmc>EOA$3sC z2-cnUn?;F-s*++>@f8UXp0qxoCCeYj`aGGd;1<1|xm|Je%RF(}9u%9y53pEUD?c|W z{;glm*iT+1JfYoL$K|+h5$yx7#&;tP3Vl5Z*U=m(d`!SOo>7!kzt+s1>Iqg9nMH;J zMNls`!0kBG?cgDv;hVBaz+BS@=t%+Ueg}S4R%Af)JQS!qtKPUxz4|~);AX*MI-;~R z%{1Tbp!8+NmmXBz(I|P98cep)V=F);>l$JTU)loFd z_X3T|-9yLnw3~7r{$MqXv2_Ot2*aY2vN$&I?NG<7-tkQU#n{cvBVsj)QJ$xL%mH|M z@`MkA2iz!vxw{4tk1)+mC(c!GXm7-^E5IFMP3tA?`CHIc+?mbAbTaE2g`>Cxj|PLd z4ng0|=Pb(TVPVltuqckU9s8K=15A7+;wFO>(FA0c?P$y&!{9$ISh&cvo<>37W*~^{ zdin`jw^ff6R{cTF2E3s2SvL`b;btM$j6*=PHGyf2iu#jNmq`^ve-x5A|Id$wBsie- zWejDPkhVC0=MCJLr~U}Ie&8cBbf3WgWrpoBh@AndZ-flApa`P}ABcMk627g9Bf#nC zip8>$D^UYZ-$=x1LltT?KLn0kw!Oj zib)j?oT6{)lLT@ZmTVdWD|vs|GA-#MP3b%m21!|?Izl%a^GT$}BzL*GAbS``iSzIL z>b}*VlvYGt$;xeR06_o(Q|&F!Lk4SOug9(-{e^aMa7zNNo;}S$N@lyqF{BB6?COjA z-gxDiFU4~?&k%pXcdRNHOA7Colr4n4&w#MgwP-&nM8FG;3$vdAC_{KWs&FhJwJYPD z-JBh~@0QE%*YDvx%G~qV}}K?Yqu+&V}Vc=VgF>a?qnLna(cII;!kSFYmh=sH;pw%b#uh{ zdziWI`s62*3GL^vlqDe(zChs6b*KOd8tvjVq&j-xJtL9Nzt*diF4%zKVVH-?8aqH* zjG!1tA;<6+i7xFv^oej{9RuEkZ6gMJsFl}kE=7~^!O z4hOm%s%M&?Js>3!k=ZWQk+oRt{~Y*Bw@gJ^{E`FR&-<=*O0PpuHvT_~x1ipDw1otYK50l>q>BN6;0n+VR8WV_QQIgk1M@-NOvLtF0pg zU^igYj6X{{ZHH>sFLY-X;s4x#mu4KLH9*YZDt&|R*!Rq4L^JQaqpOxj!Wedt?b3a_ za%gQu-l_r^0H!$tzL#^?-I3v!In!4aX_PL)DQxd&eU(DIM7?n}AXw+}GXXngGbcNg zrd3nGEK;|FBXNJMo`AQ;f%2r+A69F;Zr-QD7aa#|LtBpiAITR|9zC87u6D@P*DnyZn_{_JPMV&QFZpWosR1ac`n z*0VyUp0+@ocJ?(pz!V%0#7^olhMzX^JbDP6N4g5a2q+Lfpp9PuEgY;)*+b%(>%y+M zh}%HmB?$7QAMu0l@OZdD=r5OjBhifT!e?xd@F8;6(iIK!(BU%1(hhS@cLEM^EvW60XT;vFf9@`z_5A1iCa*4tg7dl+x=U2L0u*o zMvN+(U=9T6Oh1UI0OLBrT^)oe&BhEbY48uBum7c=W6U}UcsSHg!uIBM7t(2%w*#EC zg1a#Oy(tO+D>SRZSv4zf`|`U(@eIyx(8WE`9D{`i0Nw~|1X4ZixnA2J;G*}f_pP(K zoam|n@W!t0Jyq=8N;OB?cRX+e)*JSbYt*VUnLx~@^R-HX1^{+Tzy#X+*ac=HVA)WoJ<(OSEo*pEATkE8n>~$Vqb|xb1;eT~ z_zj+As#xl+l|dMR7tP;2|1OxeXO-kFrkwtxnr1gzB;}pakjm ztSwXF+Xe=4VF{pGq9(6r;Km>L_6hI09*)`S^(-_+J&jtAY861wZgwuL!%55A9hl~UiH5gQ{hPvG*mnFEZ9lj(7eb)dkhTwk_!>3} zy6Z&&!eoG96{d*w`3)&mfGnX@FW*%p2Z_QAfC~w2B2kXb=r?rFqhk?|l<=n~&8M!) zHK$};pcvay1gbVk8hN{y?`cQJk-XY)I>2hmE(rw^BK_Q9$2L$+u4=k8_MH?ScuZI> z8!J_Xk~)dE+5n{q%O40`^(a%AojatxU-{0#H9v^goQoEmky5OuOj@FQB9m=URAdVW+Y? z1O&lbRwu&V%p8UwkD*I9PDZc_VHIdmOg^5PRFQ|PJPhTlHP6NlA(&jbAQ2c5Ky^z~ zkdSUbFW;@pXCn@0M9zs~FN&nh*rWAa96=;km~=j+!+wr*F^&W=VpFM#_Li6Lj!32F zl#knp7o!DX==__1_~uQa-@q)=g0^oqKrf#WKLW`nbkC$ztu-G}={3F>vwYztB*l4E zF=t4^gAtk!kKw%loB9Zb))2(mH!ke_kwC$##KnqGHf@nu(NVUe)Ca~Ky z7xH1Fg=7;U2RfwaZr1nEOwQ(%ui$UP^#*~q{8JO4>jfMSms2evN#?fp~ujB(2D%|hvt+`rK! zX6`ZMuQ+1I?`{e+b1<3+t4enR5(d53#b&Q#LDmwvk~d7pcp~o++sd(is=Fg?DQ3XT z{K(j=biTA~%6ET4G zMAJa~P0B*^@~7IVb=-bkMtLkinmax`&!3z5N!e${Z`jM_xfS*Vae!X3=MjDJYj;;O zsPGc^6xwMmi&g^YgQ_T3;$jV;3fo{u^j=3FBl6-a4p z#b<~D#;%y>jl6bOYy<^Eo)9&V`kC=7*Vj2>U^>wCZO0S=U3=;q{ou5$)M^iBM7M!y z?M7*U0s?$9w^J7lNf6AeJn2UQwiZL zPsVm?=pTjVkySjftSMd>@$;{KB(H>#zc1qFa4>OR5geuubc1{A`{|s=Py7>t%r%%> zK{oXWu>29syLA4~VB_F#7!>Fwr8{S1yg^rdhJ6&=|6nu4JsufzrpbB4Jf^n4cZ zp>`rHrz*mivE_A6z0f}uHcj54SkWjo@KH!$%}9h^F>x?4mejhgFPf|Bl7=dHy6`F` z6&D=F@N{DLE5q^!R<+~6gBS&N7Jtq=d1?S?1};I$Rd+C57=w4+fq zNO|;z=o^s|u$0h;l#pim8k8=}3VtpP-5|7-60zg!;-DZw9FXM76-p%*@AwgEmOW;w z!3%SOHDwKu=tDWsk{S1>G?6OM_U;3TxZnmPrf7`JvAno#`BXpCo&@(=R6zHFWCq9} z_;6;ukQyOWfjvWmxKDM3HjGDoq*ZN^gIFF8(490S8~R~eH>9CfHElQT{vy{;V_K4C zEKrlwG$Xfa@DY!$@LH$of@jz%!vaZIh=fp&=!s{>&={(gmURK^`4U8!yL~-+JL`J* zgB1E>-Xs1nF`hUG9=J>0MH>P1)QGOz6Pfn-k=-B-k43jwFwBi}E1pXT7U{fC{dm?j z_3}{T=zJ1PNo@kjWn3amj*L_wYIY6RRnv+J)H{`WqC;zmGs_;@Y|q4vR}6-4WsFZlpL&hv+mHu>}+rJaT@Y_yYx4?xd)@MjKxEIAJ7&f7qENVxu5}tcMg?=xu@XnPnF?ah6~K7C3O9X zsPALg!|9?G(sek%BtV1S@gr@RI{(ej^;6C&UD~KTy?5dTO$h4GgvOsk7QO0nWMekmX9{qM z43Z@K)6wVgVCO{8Ql*?dlHAZYCK+P4Te>Llw?M{=5*k2%kw_C_x=dmTQ^l3Lx>4G~ zUBMU{d%q2+qERFhop0A3_$283te0)kAZo9(TBFvi@Yl%A!fQ`Uk zdjj&tqb^qv%MjWlC11|2Pm4~f?LXjY9#alQw{U?X-FLO~viBhaq`O_^X5Mc@6h`yS zOCoBb0Ia*)N}%(t>iG+I|4bLNi18WW))itA#Q}E=UT@rft*Ulk&U(eAV`HePwDZHB zn+X{i&Feff^Fv*l$5b7N(Rq zOC?9_tq{rJc66Rq)8S9t4?91jOlcBJCfcYL5-~TKD`;5!-gkA~5Z*%lN&SOdaC&%1 zrEUz7JgI-~B0Jtp&{3U}b1mIUf`l zb@z_y0<~z*u`INk05Z8&FrFT3wPP^oX$tH%dM7syZ9ztjWvhr2aB0y{+S$$6uy?z# zcvhGneO76y0BQS9$fYG#X*puEas9h4Et)sYkLO9~z6B4~@-%pD<}pn&18dDeFIGop zf|{|oRa$sent!Wp^Wxx1#6}`!zF=4tt8u(b-t0<&#i5lFqgWLKl&)YbzqOL#+T0LTWTTx8OJMs#wrgu)X+eQcUm*V3rSb_H*;<BFev$+7m;!-NXEv|~nYcoPpOz4D(RL*rJiX*K70F8H870fQFFVa_2K** zfAGVwf>_m$5HMU<8l8msunf44#tezlBn$P4B6*S_kI+w2=kS)MGlX#%$NEr^4C#=; zm&g@(0-f2OYcd5{IB*t7rfkT>d!oknXJFuvE}FjHnk8}WF;mu~y67@uSWYV-Mw?ni zA-swBjZj-T7FH%{$&MX|XshR30k>tLgGo#--^yihOekgb^1GAOYhe^*iG+ukjN#BA z(z-hg5naKtPrq{oRd3x_^bvE5DLlyjb)_>Ejy}J_^7t40H6}Ebj>owcXvi0S4gd_J zHAMs3O*pK^m?LK(L9xq;ye%-Vt*K4Lq=E^ha|H9L9avLaS1w4PPGoj2 z|0-9-?9XO3AV4Ez0G=UBU}X_}BZ&~kAIvgUgXVp5 zChAQ2UvElN_sp(4KX7|$xvUNH6mM?qrXAWX&h13L z%_kG#fP3LMN23Vmx0MI6QkpCHvo$!E{6jw8UfTz-j_ussO6o)JrWMASGSK{Xm==A2uS#zab|` z0w8fr$Y)v5w!!@tqzxyI$AB z$4;aBxHBi6z1jV|Hd4(j-IX-02Ptu!W|@=C7-m_Dg*z#fEN3^?1R)aid82(H&4+ws zfDMeSTO=nqq=dmlqB*a`g=r9^4u_;#{Is|0R-#~jAvyA5e-Wl|B%V^$ zeyXP7LdRw93r49htq#-NcmBpNG-Ux$h@k$y`;kZsE;UCBfL7;oNDCHVrmpHO9ei)g zu6yUcWgsMX*OTV_v~~f#JN`NSgZ5D-FYxeIR9@U&b9vg=-l}=|ehr4^ZBtSo7F33` z)CYwKSaiT31Ng=ERq<l$x+(0P94U6 z^9O;!16?1IA?~u{;7mS$;pM`hMO*d}fkAUs;NnpLaA-ii7$ijx?BS=57h&iI3LpZ$ z*R?$aY(+W2Hw-9v9MO2_o73)Moz1=_lTO;q+xBJET_&}W_|mJa*^o7T2oRdn_AQNI zS<`d_TXj3B3rI^~kZr9aGO+qOPH--BXCojLy>log)i^1cDo0B~Zgp-L;Q&6sb(HbL zsPV>C2MY3lvesAN|1q!pT0-mv@k6jckPqCzFCf2mm6@1pp52;!0v2EfY?n|@IC747 zZOI@mdI0`ch|{)lH_THqn>W(0@B=uGP6we?pFDhNng(oeK40bW#mboEV5Dei zo24)GB!J0O5In_pKWUPJCpOn;#7cuGpl><a`ujPym)NGi7v4&Y`e$i- z!+z=c!TSYW5f2vo*SEl{Y-)I|x~hjy@#u3#hfQHFy827Jdskl3o{l{<0#S9cMH=U~ zicuB#!^D@vV@EOi?{q5lCjz5=2KRy~h5l{!LZ#Xd!%wAhE`6zcoBs+3wmO2 zoF#3Cu-6>vs4Z7L`hxD-D~4khCu~qnG~kk5b&TCsP>%slf`1 z%Gr~^ezixW8sanBmP+n{!AYG}9N?C$1|8I`Ke9tMx1%jqLphYsjRN6+jN>qhtdhd_ zAvb6sYlYpXYWu0;Mw3qvnffjIsZ!o*Nn3c^yUgK98&MwQVPMIPv|P<>H_|t3>Z+xU zM7n2L_tl!68&)-Uy;hHd+>3*Z*4M9o{^kwBWX0ql-ri!%*VB#;1=mB z0khRozt!tjoh?G@-!jp+O7PbxoG}#g& zq6@0~`06zD6kP@Q8~T^s&i7PVrOS|?T*ju{s4+K?CVW>Q|5$i`#^c~E;rz{1xR~)o zbH61#{(XdppAgREAj1iT<5oJ|k6oS(j2pWwpXuI;-?|=3nO$f0bcpVCI^0Qyx*OT_ z9}VWVfB7Dhu|Dv>UA?V!xJPLEIdRXc4-VsPy2IRr9OEqNV*b!kh z8{U3tY_>JFWjYxYZk!+@pmx ze1<5x1^{CmOMYLVFAx*o3J^-kP8{X-$im!ttO_X+laTv&bjKLRFVhMPJjme-*%cTu z9WzPa(v2UHaqJ4@z$adZ$8bQ7U|;~@oFDn8f&Fx)v0OYM3(t2Y{FLb!hP8F}br5ws zgm%n=XsACCojekH&dQ<2%miuF*8{t6lZG%aCv4Un_EEN=ZIV*>s=}s^nfP#oPvYE6 zB_+0MFCGz&L^6o%cl{dv%CehsH$iOxz5|Sk5)v;(@wT3`;_JQ*_rWu!;gqH1iJXU;gY7n)=Is z|MI)$<3zP2aCqNSEahTNcW_j~Y*KDPTlxeQN^+PI#I(6L+^9kF+ zVFd&lb}PA6NHFhv`1c-3mrxgOOgQ^Gr$WxEYN3rkmWKoGxjf5nwqUY3=ehyAzFP@X zK`{H?54Z^ztbMR#VG_wos%|a2Y?}LO`NWgWkv4O`?VL+dI$!gW{i~|FxE|dK^(~B^NgzhFa9%c-q23Jst4~ogl92K-T=vPVz~dt8)1F; zYUF4ZTUvA$hG42EFAaQ;lD=^P@b_FOUTiekfXr01c#GKeR0wGbkIF5UOV-UuZHEDl zj;)x*UYL=k3J0S$KL1T9pSL-1h3oTen zQ_uumRBm@G6|@7V+#Zo~Ec#pkUl?1&vIi(yfjtJZ0{&iYSv^4u>YJv1o&?jU<9B8w!pQSwcJDja|rgdb$0Y;Hn6~fEKu_|zgnnlNQ$mTPtD7B zU0DI9!L`~xgs}UQDH6B_L!HW8*6hs(9iVL$EeZr(yk72O%~Qkd2)E{EI)lRqr|n+I zODf7|UoJQv3(D`!0>_cXq;&V?r9SkH5X+@zC79-AlWFPCr{zQdw_{f?m$a;Vyg^k( zJ(=v0)oD|)rvlDO*Rya|b(($c#l;1cd3fj+N>ihu%Oni7GoT4G9iz##2)<-K9+3H4 z(g}K3D3M!xIY%>OgX?t{__I0~Fye1C#@?iGYvoOL5PK>nx5g^SX2sNM&(E#j05+*4 zHU2p6S2r8_YI(j{={HwjIxd4?@^txSg|Curw!IN-#b50zByG*8R98g@Xodih*)aH|_6rK=|_w$I{ff zoOMw&+E`R5zPC(g%MWc}dUsv;lbtRYF(-t_m35LYJdezVV>a%|j7cVYK}d&qb-2^m zPu^XijVkN%GDo8tHrsGqkKvuOi0R&3j`n4I%-1eS{``{Uo0BfQdl3`hnd-8lPY#Hf zX5g{cr%O1DoGB+1>jIawEOC#=Q-U>S`goeRW{Ia9&|bj=Ny^Q$jT01H9fO&*s>9b- z^#BG&O`*me-Hj?64mP;6d)SCF;ZUBv2*Ue|?bR`wO_W+|J3RZFaLqZ>V%4l^^D zmHEkA?$s2X)MK)t#8ykg`Q%|UwLamaFS+Q#98)M43<|)boL{MiJygJgCVOZy?km*G zVnalr$zWBc66*@PrM07t^XCpSnR|`OHoXH+W^pt<5+jhCbS?xJv@Y1F`{^^}_NIPg zp9m(Z)ubYsy^5pHKTxKd;$%}#?b7aDwd_S483^+0B|KZJ_qv|$hJcFdrQdA`v~<3E zSnE1A)DC#tk++}eoU<46t$TY@BS>Vrz@tg4%|f#-w6Q_I|Ez^gxqt!#Xwf|{uy%#% zaiTQqvYjll=<47}hJz=5?cfn>6&p2y#Z}U-gQ-mol{Hn!UNJoc$+Vyrq*N!4`n)cLQN+GQ|5G~*mhLl5`sHZYp{AMX zdc9hyUBix%e!5lD18&-;SJp%_DMXd0q8yaCiTssfgQ{A=^o~H{%drD%$neRa(3x{P zx@wZG0i+h(`VIZcKot&iVhR-Jj*yRSU(ygv&(psT2>x;{Z$SMmHt)j4hnJj{x=r909C3m$7|NCq{gs6u)u9hcI7wfdfzxK=KJlQ0ZM1-GFo& z@J{6jD0cL*v96!W=dx~VTN0c@;@r!fBO73M>H=7GJ3+$0NFg3&;Q6vXvrW)03Fr!o z+>038=%Ng`kzL>DA?DyX=aHipY2PW1&-GMF{E#HRmpV8CT98?k(x|q72H>P5${rA< zC&*5CZxo2j)-EhcA7Z*A`HAyL3T^9lbt{1Wc4;y7&LZ_<$M`R9`|{XP6RnZpR0xar zLyZ9s@Rp*-#%NcHQe|NX6d*P-@9NWDmIU3P)Q~8ongiy-X?S8&-A_I3sGVJPN)#cq z#=#Z{XR3-HB`0J!4$=qE?Z!Xpd(0Gxz>+my$$-68RjUo8gwZT3li3x`EOS%Ptj z{ucrdpYanyfLsLr0)h1rot{}nm*PFIQ(+-=8;%(UJ^>>!FEo@sWe?$bmeP+rO=EsR z^5WF3@r+aTxEIwO-N%7)*D?;I2P_SZ+8;zxI`GZHBmjOhWzREkwmk8q1BZmm;m&}^ zFIYs#kkf+C4Z?s2ypxfjBuf?`83-8t9}GUri_1?+bUBz+BSJN3837)IUFSSTF^SSV z0E|aYB7zhrSBZczZI%8tBKGSQIImeqENx+u0eJ9*>?r2Ni!@+b2?z;iZJE_0L3lFy zGMC<50Cf+T*!dz$sV(tm$VdSPjxObDFq%m~KWIILX`1r`=qF`lQjZW63+!nHOcHP- zL_TAtL?UCS6mY$6%gBWnLUH^=-u?!pvBk0ch@12?tTZ)!<8JDDjcexgm=_i5-0Hdlb_V`)-%y`=24c+RCUA_s zmQn93wW|?VEhg`J@7ZOdW*NiWk~+jHT&Fgjl*iBb*w&yW(EWoBqj`-Hp16dw8tXz- zKNL~*%VoXVL)J$ytQYWI19bpb08vL3>kg~hyRIE71OQ=naTM|{wuv0I9~#w*k>vXm zY!R#i9{9~xDs;OgR3_90U_b6%p{Rn}P}M5w5xY)Qffx^PYHz}#pxe=?9rZB0TDMP? z1n?Yd1Sg#_uZ8cm^`=`YM0bGgi0^uMpq8H9z$^4r_0Y<$2IkdDLV2S5V#RX|(4d0; z0DZom&yF|{MG6Ne4hYN#`qfNN0dHifuU6Jf0~1jMz)g`+Vd_vz^bF|f_PkSPer;^7 zC)~Vt;pf)w)!urw>dRj*G5$< zXvZh|D+U8fU!4^7E+RdCO(Vh93-hta{k#TDzXV@btGn!TDnI_}aNOGGPP5Obe^Kpu z@B0YMPs#QLRZ4&2DhZX;i37S%i1IuB)!+WFS~CZS&$&m73Z{gb|8QD^p=69Qb5IH$ zH!E>^a45vva8rX0@t{srxvEebvAGF9AG->Q&uWC2gv7R>LY?Vox6o1R$uxa}po5I5 z9WOPV7bfbM-6q|-6X=UEeTEnVfkKfC@?`0?;a(Cr!p?->(v%~9`G`Uv3w@ZC3N#9iO8vLuZWLx0!E|hWjxCMf;1;X0Q(CqOQ=d14gXQLYp`|W#;ZU zzXgBoXETWd26xVt0(!Lp_s)c%JHKKw_tTjWgO;5!T6PlI2-qUU_esniz{bY`BRrf* zvBAb+f)I-F0X95f*l>RiH6G6U=*`dHyb)?D%dZ!hjhG%GwXUIF7e8C}_$AGIT|NmE z?~ylKI0#FE_A13BJNV3K{^B@mPjHKwr?&raIXDr)UnJoA3ujsOqRh8-vMVu;|?Nc&&}utJE-!CHShU6@@9cuvRLQep=BAT2txqzD=yDwR0Cu+{;7jkH{Z;N%A04kQH4c$_uQH zG+op7I4HNO?P*()j)cTTE_K$wTd5o7f_*C7$CZoByQ1_`9x&Za%+omh5st&*bUnN{ zdL98ra}?g$$okzBbgB1XCROfc<&Hj0xim*N;Z}409*m=OXnU+?c?^67_d7Tz(ee6R z2nwy^d+I|^n%@dab9*ii2PT8`J#Kg61OS1np{IF5n-zd5f}P~S3kEpxlx;?cF>O`J zezFmxdr|+#-u7}JH5&5iQ%u{;N$7AnbGlHpX@?Zf;>hTAKHCUVC-csIyX*OHm|%0y zxR}z>!nyDnoi-~{eyCll8$PDG1H_DyV;Zu;?c<_gwezg_Vg)G5AwlRZ)fyZylnbUG zx;^0d=VwXSVmZ8xG^-l^PB0+=9-lVMe}!7JzASs%#L)oMfop+pntr>yOg}RB_wmz= zKHUjg-$EK8pFQ^LdiqJF&fu#(SMBt3Zix9L0Q?Y6wVf)pJuq~F5Y9g}7zFm}qW0R- zM<;7U`SE;IG#BX!h`@(9`E*6CPiX^(qi{X_^i*`}_<>H&$)|LRN{`5Af_f}Jqmcgt z9&hUWvt#tO?5dL>?pgqE5yh>sZ&lf_Pw=U!*S*kJtm-vlqdNp$uFICLATTOo^WkvJ zBWpzK#znv=?Z8M>!21FbH>A3;Bi3W%?TVv>3N|MjGh2`_lGICLkAyUco@UE(K@*M2 zY#cDIS|!n`0D4%r{u+?KH3EK_LSgGZlHQ7o#u@=eTf+xADgx8vOsAPe<@)-OBMpAouJk@W2tBpwb8qf4Bk zS>(#QZ}H6KVdv<#ebE*;?hNs@lYs8^s(e!0w;YJduK`OPS#e^#HTV(^R|5>je z)JM12H5J`>#$wZ<*wBM(&$ggrjM@yOfgV1`iuT2VX4Q`NjgkT56WFM)dSHY2OMc9K zVx)%p0Ni#BT2QzMX0!lg#@6Pv`&ArU(!c!iKl%r{^IPU>*tzY6VFAH$xGRf|LpiX+ z%?n@kh>8TYg6i7qnJo`W)Dd*GY-_6;W9xnP$p1!yXiMNc36Fr2E`UUNRbq)@+<=5> z)?#WXCUw_a0qvP7CJjBt4x-hl9+g9X`nM)iq1L=k1*zau%`p$}0;iK?UK(L2YlNWk zlib#!PyFnvd?+JE6Y!c&vj7_oU5;rQBSgVTaSUIV$FcZ$^WGzxV9%kS3{o(R#}KZP48^2g zaX8So5)15r6*;&Ttq!E0m1>1Ei0N9XQZI4+8Tv_yrAZrNvD9>T}&JOP>1&wJldP1)cx&=VKhm{SXkGGOWLu7;pv{nfaar zvAZizVt(C%C>2H!Y-s!p?Y=EpgM#~o`05P)O*dZcS=z3zs?U{WoEu(qT!G9-nvKQf zbEV#P^k+c_wQfqjn4gRQx_f|a)?K~)*QCJ|YQ_n8U72Iub%S5Wb%g|KnAF0Tzj*lz zng>_>fSNsyp|##ktM|!v&P3a8g14%=C7o(ppFdwG0*ST?2cg2ErX^R8?hmIYyMh=`a*%Qz!Nv14o(=|cbtu=oZ6+JX%o zDSbs7(UFuM#u2hiB>7zEXv~Nn0#Kj2m;$~hqR+qCS*vNR>Auac$+=l z)|Y@VSy^H=fTESur?x>Id8(^zO^al$SrQjRB@$<}F^J%n^rgq*skZ76$WQ10{IP75 zW*%BoVwfiBLo9T5VtKo0lbH{+KMvN=eql*!nK~2B4c8FCt=t-&7Yo z4OQ?lX5di3j~SThTiL>^Y>Y+Wgx-Lge6O_lDjWD01_Jb;l1S10Wmv zR1NkK-gphVn3lFnSJ&RD^aX`3}l2T_r|Aq`8X5;siMk8yc-Oi2QNoHTr5D> zd_;XkfAFys-t3NmyQ4PvT82c#9){%RFf2eT#?MqX1}vc6hLR1PNP24qfH`k3_yvd4 zjwktB|7r^4?*ti~0QC$A*b*@NX!ymVu_R^q!G`T8z4-i2MC5mM_uZWpm(#bqD&oY6 z?-LQ{{C?p68@Iy;=2VyHWuq~$<4_uufTrm+3FvG|=i=;ilK8$3Uxg>3REG@F@<26W zY<&>o%v!>ojY)h&X8Z}!ow{^Ca3mamh>POEJ&4sdVz2pQlK94`Tq-zNs5g8^cGtSh zTgI>H#-4|l6h8ZbG@=hwuxdeDFAlfph#12!RyAMh^2ui(n4{(al>AI1c6C*1I8i7Y zA;!J;08>OoEdYdJ-15n$b$wUxgxJr>5K2MGK?mOWS^T^&EvEzQZ|5a4Q(VS2BCGUXbF! zES%JPq4bw-NxmP;C=AE=U%#ZB7!d6&$VTYw$T!Dgz{TR32Z&&48(zqPOevNb+daI$q7TI1~VMx33jSdEln>rGjq@7LQ)1K7sBP3nKK$eZbD{`#5V8vKP^tfxZ1dW<@|Z=NvH6X_ z?o|kfQx|JSZ^q1ZnAYB#lOuPl@sWfw|BD z(XDP7YX>eD$5Yz5gP~!=w186$h<&GMWlTjeXaRev1#nqFhfz9n z9jdy?KK*6c1f!CpY0C$=pW%`nBM64@xZ16=pOXG!u^wm#`(g0JRBUUQ^mNo1w7l;s zw=tiNIN_jthdm!s4T_4>G#_=m<)P_Lln9o4f;yfDIbkEOIk>SZ_{yr3sK0n&qhXC`&ee*Bv2|)0 zN)apxoZ-F|#pqNeZ=q6voaJ3XYcl7A$-i=@vVQ#5fI=f?uPUQlQwgAp?m~uT6fvvf zL3HF8qRy!2Eg7pRx#<*^qx@b{F;kbq0||4#wjKoigDX8nUhT+~@|sPns3?}fV!i>P zQjum=IfSo9rbHI+Dz3^Cx&vX5WH=5z7Z73-ld6oVY0)XBTvKxaU}8lYt;GN@992(T zLs4hLQOwHfN`R3erS?0+!0IStkk&K)gD?MRH<0U;$K8(4A_(Kb>G zGK3)d12Baz3-9h*6TVao!{OzAf6+LW?!=(iRp`|p0N;FB`0P2vV?W5Kzl22qI~kiG z(LxhNvx>yA5Bzssl7FM5zKp(=x_jKd)Nw6*+xJKlnjf_iAKnm;P0;Lm+2`A8SOeQC zrJ)O#AJRXOFEf)acB07EUHpML29O$*pr)x~-$nA4czAJ4T^z>z=Cke)u&Km=)`~$N z_vjJekydgw5(vC>&CX4Ca2pJF+u#kG={vCk?WPy`LEq$FFEz9xCG}VS9d+;-z&OkK z(5;$7v}YMehh+sGeiA140l@2+PbWG7ahz4l4mPU{E|^$7tb;h71Z_gE+nso$Fo(&A ze^+S|-(Vt5zQ2H2@}0%GU#N24f;8!)ucSHe(s1lc4D-0eBKvxMJxz3bCuz}wv>#o! z_zTr7`68vc_H)wQC!{fu&`_ML>27m{!}#k{nZHqQczV3OleAGRUk9FL$l*y8kDZnrpD&4iAc&wD2o8TH({|Lk|FBTtH4G(VO+_Y0QiEy)}A$+H4a zRe3DOjp%;?V&NH2#-$3Bm2!h;tM9){^?47b6{{`4b(uHqRLOUe7R;rMhU2rs0;($2 zI2zPA`hsMJ1DWx2wGQ5S2<6}%W`|$WIPDNAGg9v zs0t95LZfGdhEEAqGNnn+o)UQIwoZ9@-p~&5nrzcI3g2J%@pJMPmPV!uabHJxm zuhZT2jS5UtdPXnS6W3EQ>p9<+dp)BcK~MJWU{wE!Xn)wE@ryN;?j+uVuA{0yC-B3T zgGnXx+E7W@`v*6A@*0y$LE1~eLip{d67`KZQ! z?WbP7Dt2pA27p=R>K?cC&Gp2%>@`T}q)E;&W~QjuX~D5uug!Z{t02is*NA9r#-EDQ zNpOJJQS6GWX*a3ig|r22vhB95Q?p2EiZDnQM>aWoz@gi8Ua2i}lj1_g3IFWpzw1PQ z_Vb^xiwR{1>(MF0#m0{IqPJITe+7jAGLzNhgm-b5*^eo+pQy|>GJBKEfIn7QgJ6)= z4k)YVB5QINB4@Om6NVq+7rUGRmG@njbH;ZGa>h^O4DXUIr-w2fpVf8l0%T2YXZ4&x z)*wPnWiz>4YGPX%Zm94a#1A8sA7LhKRl`y8zN}af)!Xw1+It=e3bYQf@&CMf^@{N_ z#{BR8?k^bt)d|jlQHxkxHeocoP~NW6dK`z+rRUFBOwqjpy^@E9kenRdoYAwqg^b2pUzHNzP|8){rX42=vi&%9$f zZtoXnGKW)b@ui}v@KlzhMnkD1t=RLgL;Xh7^jh#^6`lKQb@@A%HNfGw1`Gq{s!HV@ zu*1R1iDzBP9QRRZ_Pw|qYULeQ@8QRuq7|04O$H_4Zd=}9fr;iJwIcQ&38rm6NcT(& z52bgY`(DVJ+i=*4;d*r`6hF|qD%a&EV-mrvrb$KLywgpk<*A%ujq^YuWaDmhZc6gcuzBL9@r;8}Cfes!bo>MekX$ z7lW<)E_u&N5<{&l*hy%8yK~;NJRA3CHj;u`jkdBK&=4(#ySfV@)lLv{dl$TCMYgd< zfD(Q0Qvo)l24R3l#XFC_rp?EoUA}5-`YxvbTq@NKZ24R48|#O3jd$V`Y}GZ?@T3}1 z93v|0E~WxK$DnoqZV~Qv=|lS7_iQc&)pSE6g;NJ<;n4RsiUzxSD8F|TgKPtStP8jm zP)jeeJ)0_p3WWx9R;N}N+}U{dx_i$GeJ}81xQBC<9YZbaR%}Cs5FdL%WYfkSL!j#h z2DX~DbgHFFxU6~N+m;6{sIvRE0D%tg`ILY@Ogw186?W{{$SUbI=HIz!FSM^4+p^h1 z+W->A)e2&CHg}+BJDy9cKDSa57&NZVAS2_h2vCUtFmm|Sqi?fj-|{nv$E`#?90p|5 z$OM6Fm0UxQ8Vy4VGTe|BxQL5zT|>qwvdIW2E_@6!K1a0@fB+FfhH6r~P*eG&q!)WM zTLb)_IEIXn@qHSx3A77rKZ^0Zj_>2hsDXZeAPN0wieo>JzoM^^Amt+NFjP^3?FOn* zY1SZoFy*%aIYNCuNkU*oqSIa5NWb*zRgT+bgg43XxC(DgG=OP>uN&IZ%e<}2`^?;m zx?KsfiFeG(7TyJpdCAedenMu(Av^X6sLVxl05%6NnnilfYUH3@bcGxqynZ(qMJvr1 zGx{M8SWL8h%hV@M?Z+@VfN7fMWcP1&gXHSnj#5WR8u(@ah?@*Ntr%<#J8McO>d;Ptn7X2)c(#|T zqY7~-hhzKh&>yzbZPjkKIH@559}OUL_!iJ0y|E9g&cd$6WOu-Gj$4`43al^+Ye|c2TueS3N0u7}Nj!29Re{3M*gwxq#SZ2VH355-T0s;i9=todr&V9)(t8Su>3BBauJ;IyF>4rx-?Mq4~gp@bEOs$+no}j$FzU z+4@Hqaqa|g0f`h>S{cptw#&On8W3soqtUf?-tw3d!Y<~3#@idd%p3W#s4`#U|C~hk9 z`Qb4_=H-@_P3Lgl0GPIxM_MEAJ;R3qlL?{I3uSZ5>FQ7OC)SP*cPnrcR@2Om)_GX% zkTL@UlguK@j9CO&l=?K!9&{b%$OqAo(i)9bHZIb^#`||TtcjEw|Q8ed}#4HJy ziPAV&_nMw}X>m0VVw>hgb|}vy$}X=9BOV1h_ryg>$Rm;D?{T%pR~=Gv16a(OPEa47 zfd(*!$RF?m^@5f-f^|eO$QC!^cpT9zOo+sK`j%vHeIZ30fUF^z78n*?t7FgOYVDzz z1?+V;C^A|JY4e_7k55>ZR3v1AeQXd{JI2DlFY)NHx_|s$b->gdqr&&R8J$w#s|0cS zq`g5h$&SGL$3Mc3Uv+`p&g~`}(ISxKV@YG_qTDUBjw9fSQL<3+Fwg7OfvYUIAPv1z%`cgFB>CS4#c*mls?tg`E-k6#tilsKMn2H$5VMu@1yA!Sw~?MDR^sy&%|5^G4lY)AWH%)h^$N&pV0DdRrv9>3Q-aIfmyfw|ftfQXdZF`ZVfROVVbfG^b>xL0GXljlo? zs?$tM4Mbxc4_P2wQfKgKMlznBXroQJNBevz8X7mybkshM^h@FUlu5Zvs8JSuE(Cact{0Ci8OK#*}2ksU`=cSwoYJNlCy}oq^HyARa`~uL6@1{qOzM z7Z0Q8!b2^#Cjq<&yp5b`Sg{-Ui8bJ!3X(3oe-P}fJ^MnI0{`V3Vf{Xx+b7~i;k)h~ zjpEmdJ$4&&B#OWobI?tkXew(OEgegjvmst2F0AOI5yYdzD2QWGGnc>4udhcU2$hqh zy^Qi0%!Cf%2107Op>v;qN4w!`I*ZK_7Q(rDzx5Lg=@`UQxO_epfMm-!ro#?~e#|sd zPP9KV)D}A_!;6`j9BNqY^zUcC^w~!o@-<63cj1m*TK^ps;Q6DF3cqtX+AI5X9dZ0E%s%UQ%(4p@W_&m&=;zqYR z1z~CcjUbugp3Pb?zK%NWA5o}V*u7-%J8!>0Wk?{c*AH&#}x;o3l_ zNWf-Y6^<>Ep@6!ZX?x&|=+o(?rn1cwnI}0y9yjT+T!R~SZ82YH zg%Ct7ZIal0y?J8>cy}=Gv!i)nU^Me}^~UtQJNLbDQK3Z}jd>MK1#jqKDPcS=rBBBN zv<1$|b-EeLi!_|u#Y{IlG0~h>n32qJTB$f5F97pPAE!CYEY>`^OD38p)~cn0|Gur6 zhE=^%3AoutlLi_jWNBe|7rbW{v=h?VtIbbbu;9wl*$+V+0-{ zO|qXeZI^!VISS900Ecal`t6f(rHt9Re8zGi_)=eoSUDy_mbtx#Qr3~I-`Sx393n)CfXx9MhcBPq47X0Y_ZZ9CF#hcdqtT9g+()R5<7OgUShVKoaH3zREh?v4dl*0+*WKy?fqjaU4u_@}-pj`PGn)&!UoYi$T*B z;~uCaL9arlCO8G%J2tK)F&jQ-rVM-zh20RJdw{G9na0i!?tC9u$)KAAuSV!tF@GE* zP#j^R@QyKf*QSFGSri^Mtj~Dv{4p?&$*jDKsbdrHgg8EbPQOsOWKe-S3<05_bc>8% z{h3#dwSWAWal1h{n^un>StAZkCEM+2No5EvP^JfxNuP9=O(j2mM0QX` zhPY@OAaq(|qDv*(vpf!@(Gbc5vG-|}KEM}Yg8)WJD!c~+<~}n;3F=B~%J!**`Z|zn z3$Uq?P_n*{aI*vN>*Ghjwmv?7Qm8XS4fJgg?Pkl$29mJ)YQZLr7XjKSsF{BIV4E)iEQq)+Avgp}CwKSO> zJQR1uXs7S-xJ_xL+dVU;7G+0P+&v6-k3%Eb`om{?VQI4cPhWwT>sw$n9L3{z0Gljf zK50T{>G4FTi8KdG7Ma>`6vHzzuCW=oVnhtU?@IES)t7%JI=Z?kO&J+(z=a6|LEJ1& z7L`nJ`1xT*1!#xzZ+9-e^KJdXH-7MoKlu62|G@nG`{w8W`19ZY{JWoj|MNele?R&B z`__g^f{PCwfv>&o=}4)zLZb9+{r9|-vc^H5-JH|vA>Gj$Ko!dG+m$$*_o;bKKm8_s zaLS5iIqY^-RL7nG1(1MvD#NR+X2;=oy%$KY0jSNvA!+4PK|HssC{aWw1Pc;uX_C6 z;qdseSwEzR-nw!7qOP z`zFT8cR&AwAN(?gh*f8R)1Zdnu38?(z2~hse)cCB8~_?|F0H&cs5+~jp0wVQEM~F7(yKyiPH%gT&CV^NbOadVOn8>#v^IfQi_IlfBL`@wBUUD4W)2D9((^t|E6#< zBv#qNn6H|%38m#I3belcx#G4&?ZXRKUAV$h`5Sn4-Iw=ZSR7DQxQ>=9=ju};+3WYd zZK@1fJ_xC3$-em1#{*x`U^qLUm_%@#xV3oU;Z|{wO?qfB7J{2YA)`h8rtH&k&FoXm zlGWp3Q0@-e!}!-f^Amga3lcq0rchPR2##|Dl80SOOAJD=@!VFWJAmk?XJDN&R2wJa z8%PPdcpzhKxP36dp8+I^+N9_=u~rsc}#lVLIZ3Oo7)=w#_8eM_h5 z_J}tsIz{re0?O38O+0xq$>C+z!%Q}NvDu`!<)+qz1I4%q*Pg2u&pw*w@}}Tjk*76t zz%8Wq!H$QMntA*k^08 zV|8qQhyprQ2N-S(>Ljy1^9IG&r*z$LPelQh%C{C!z}E@{3b^ z`1aBbhuSESU=o^)6K_emaAD@$dWV+UxFA7N%Y{7yc#{#+PI6Lxc{=!rq0^YyA%V}>Uf zQtL`CNY9A$k~MkEOoAtC8_atknt$XktONY;&R4^pZ$xfqN9c=3lpT!`#OEzNEoinq zgc7p}s6p!#fpnr>0rnKfwwn6ZjzXnGz+pP?^qQ(ED>c(C7`FB_Qh`4Q=g4~Uz!^v5 z2hM4Jw~N0yndSTIvM9>xodkH+#=Kl<_odl&NT-E|Pv-Td@_Q3u0QEa%4J6eK9SOiU zox}I_Nv;3jr(V6ngJae(dUlV7wS`eZ&C5~wX#pTy_LIh~FUL;ZlMO-wfOLzPYIt|0 zI~t~B?bj<(0XWqh#6zVbuD8n0ST*1)#X(v%*e6`hk8`QYF1@kHE|CO0y@Y5aq1jWn zGkG(Fn2teqSBlte?QjQ|2|`-@%(}e7xmDKcxIXPAY_YCb|H*Q#fRx{3%RvUsdT|j$CDbPa0km;x0g)Tx^75=y zFg>Hs$sD^JqXzDBiwr(8r!U;p17TzscESRikpNg&qWtZ&!=SFxB`cU^Y*eFOAtwxA zbki_m#?G#@d;?XO$Y{X#|;b>Xy1f8){ggeef@k;=S^7*lnmI!#0le{x99IEzVB#y>bC4D?o zJnzqh$%`kFM(a4U+fO$p_9rK!eQqL z)Rf25fvGi@WOssCxa=Ne7Ys2k zw1CK<2^Dt&;$;C1Tn6b68nReo+=bf22HA*7Cn$MR6K|m^i2)#9yB|fg?zgpo|K^2u z&ve$SS1U66+hWLYY{SLtYA?f?$l$m{vSRm{98{D1jscwCepG@$T9!(C0&Nk+!nm-f zLR{lN|1v_m*|VmWq}jM=6m{B@8dx65XirSj4Zn30Z~!kr(7#e8e241hig?~D&Glp5 zeWw8U>5N1LF}w|8#OQoj&?-kp7B~`|J8C@`K_H}GTUUe;mi$jz7$Gf)G<5}7ZnIsX z3NS@2CJE1`dk1Q|z14m^i&WZt~p(w4;Wfk<}+>w|eO&cb{%{)5rnfp&D~hZaa0 zHkaL`1jo0;=8TIVKzgMrVWmh);_ps-ZI6jDeY;pL^7+4<5 z9S8S-{8f7N$mTTjW;1IShqlbk5mu>LUMJu3n*ca(DT$fq>)F>fER}MX()aj$oYOoz z)>#0gYSXnE4W#z1N~HC_KOsy8s;>*fmb{1OID2E^sKHObYBUV1Pi1&_$sL`+?6B)5 zX2VcDEO6+@ZQCT51Ke6@PG{n@UYFUpQo1Q+%hp|^o}_vXK$E$0%w>558}=H({;*bN zeP`dfq+cNQbKj6nzN&OvX_eN6?m{lDFMQvQ3a{{I3HS)(hcv-B^27nJAYV#?j1RkW zy0ZXtNBB$d`I?r}^_=HuhYIV+Y@xbsV9W$Y0&{6Do z$`I(&h_kE?8TWL&ZyrCX>b*G2z&uHfWgCJIJ+usIHnzj#Z>81!}ia6Foikqsk$oPXmHnu?rHkdoyjtpP`3S^=9?qn03fyYDkFjv5}4(T?R z{or*Kat-wG3YaDm0hpF(CMd}0i~Drc??)cj;OkMk=YR&m4u6l?Sl3 zX7}lCR5Tv78*!k*Y0T-G^R7WV@j+LKOET2pmNP;2O_kz3P^FTsh^JwUwTK%nSLZD? zprm$nc5JH;%?I%zyPrrZPis}AnR!k3RP`azCwzd9s>_&nn)X;e7uKp+Ine$?%@V}e zSnA!tLZDjO067Ia1{u)JRXR@HBWRcDpsVs?#Y}N}G{0&lwC2%oAdS0E@mvj(Uc`Xn zwh=yE0b>tP3h(PaK#1T%@sK}$Li6M!8eEyVYYQA73aT}7sux95K@Ld~9#b&mWRjlp zlg1d3So zT1ADjGMKxtd2Ra7b3DL2SqzeaD`sj&v)nL~RZ;NajnYOIeE5K}L>9NjXHYjWA~MF# zWVAIk*c~VtDL@vm7chv51@B4t4FYRV9I?1imsM*dWQ;%`KCs+kAW*@pu<;-N+pk{X zNdhM^^dp$oap?szCTg9G<{upRYePJgqFT4LS)Z(QRXAXI5@d%oX}J>XhB0+~Hwj%h zAv$hs&=}sNjAn`Jhyo{UvcEwOQLO@dDSO~~i4!Hb;|hn_@qP#(G=z@AlQxEr>q6;K z+fN6G&sWZ;$moV)Myp!CJ3f&-0hH z4IJC?K{}g+@1(8g23~}LLxXWt>Zwj!xL$DCPUP6D#a4FQke}Tm@14r^oY;v%cyiKt z>2|pX8h*aF+`W+>_+;Iz_W<&)5n-IYF+C@uc^-^ECLZkivGDfJJ-KS^8cEAbw;uyW#R6iS2|;Xd2qlyA6`W zp{YpQDJecK_boR0lC6_`<=cykfFCD8>|ss!?00GzCYc1K0JH`WUYwOS~H+JL%4#P;1(Vu2@%`LqvX)mt!Whzo@D;zsnY-^Xc zi^OFwaCeaTn8JB9Ycev4;cHt;q+?;q4Z?hI{lr<87gH0^X5+Zd^YT_&-f>O)_>wp` za=|C)+9A~~Ybwk;ZdC?G5UHSTc7Mz^%PkXQ;M2Ao(6mvx8Q<4Dwt16*^pVuzWioIO zS+Th6_*hV=aU(_u)V-=_`h6XSi#dT`h-u~1x;}c1&$dM$Mqm8eobv zZ$w2iXLro_iD;?V$O(OzL%#oR#ZtcpHqF^EN(>t1o06H0x}m*=PNfqeYR%3KhLZgUR9H(gwXa_v|Ewb6rd(*Z=s_&%-O>h*YHP z^{qqQOg=iKrbG{yuuCd7qNj{zu(gDvwVF)qfF4BV6dno4zQ%)fMyF_V4{QlAfM!QT z5LXQzMKe>fq^`;f8LUI7BVgA=Lqs5brzm0Ml7!Ty)9|t68xe#t&P#*G|4P7fA?E`5 z>iO~85*)|V&^x+-KBz~!j?o%Y?n*lDaNu}e9^s3(R3(-PEXeBd+q*V>V3!iOQ$Bvg zCAq33UzapsB$P$bhTPKT!`>cz<O+zQPW&jYwWq}LsV-sGBZC#E^#v{w|3SI{q#HH%3*Z!LhX-Sndz>IWt zajO=$#JK-ORJrt-TqsVSkj(w3-yoxY-I^olDcx)S2;OPZd)fyyBw3H&5&XOb+Tqcd z92bfR!Y2Fdqx4{Y`b}zz$BzzXo|d0|1dqXVlk1wgZ*F&_bh)&n=R1-I3pM=u@!Mpv z^T0IWohlx`^Z0R1hrQL~$26M6@$uUgjir6I5&5p{u&qXY+WS9h*YFotnritLGm*C9 zhsTd{DhbSiCVbk(S{A24schzWXy%1>F40d{dJq4htTZ1|AXk^Q#h(7)SZs4T{@@OV z#`J?YEDWhX|F?c(zLrDcaqA+0mC7M0a3Yc(HOhBNzi{l~%-%3q0)Q+iN1ATT3+N@+ zsdR3mge^cC8Ah``Nl(mYJ!|Am-++PK8~7GoOc~V}d$+WKOW)xFGGm5SWtfP0D!3qJ zl;%P!2NkjAR~Su%Zo8hkvl>v22Se9K4sg}(c8$2!s3}4t3e+7=MvDzH(*x6Af{r&W zqnAT5yrL>pehE1a00-NZmubd;iChAx-s7?gUZRP_4b@J72(~xbuR?dyOi?EA9HpBp z6uz;thqCt!jiNA;cihH+pgie0(IaO5h;Oxxx70Q>J>dQI>`3A3L1REt?l=>-JK0a} zVvE2}_ysM3@iX+hb9}t(a>?-!Zg%W)*t62RPfeS7`QcLe6EqJxvB_O+1bFL@975rj z`!zV?EmWO4dD;W;$(whJx1ixIpU{XE8U|cALyRKDSMNVHZD$H3v&M*SyMeMp-Uyu6 zNqUfF_{fF>FY4*^SR9tYt)=6+kr_)}+#$AbKSN@B=)OKy1Os5We0^ZfdLUYyEE_n5 z9Hdv8a@M3}!}VDgAE9-RK?4$Gn}w7q(M? z2j5<|aD?K-F83NmYGKr%EsnHa!VR(GE1xc5nAFdzl1Nns%c~m$vg9J#L)uU1BwFq^ zQsiFX*CW_usA1TxbT)XORf8)W7=QCe0VNOQVW9Jhr-Ox%;N77F?+(L+;g=^iDd%ZG zlSyNUcI$Rc+fS-+zdc62j)FLGXj2~KOmxm6ghT~s7=@QjYe5vcblB`c#yy>9isLP9 z4Bv|AaO(}=#T{Gc=xq`*ZZ`En!e09hs~6DeG#EgPJCV+|49hK{v7nzF*v24c%F+3z zNb8P#y`@8Nkc?Kjt|ZB_FCxy<)lzut zE;ZtK!pD6+UXUg1P9YfFT%s#bBPO7b9zutA18NR8o~ZtEozTIo>EXt^5jBbv)|l|R zZnh6>^KcMhWe=NP#ro(sze^AFp4eW95Y;|oc)N0HV1+b5e1{gn0a%61&Pvwd2!4t+1)sGrqoOh-KjKFUSDgtK&>fXACm1S21cE(9!`OqW( z=fXM1P3TA91pt6(_K0`cRasq^M+C0J>6EuST9@k-2o!NN5a2|2EG4j#D6sql`IBez z<4u8yo%of`162lSIs5=b7>@T65s4Hb8LCJG<%{nUnkIPnaa75Ah?iBYu;7i44!8-NNPC#Fpv^CZh4Y(D&H)rV~=9c!`fL zeNls;{uUe;BiSDS2)V;sDIH89j_TqjCe2F(0@9|v*`+2>J}QZ6WH1spb%f=~K@mU# ze2f!2p-%CG7YK-0fB8S(qhaY`T>HL@ferNAfXvhtLQtnU<8DAxcYrs=MRq6jeX0bgL4qgZp*+Tko@#rBrFzV!VXl~ZCTH|$lC<VLg6DJ^pg!ouuafPw?&mvSLG_E3kG}OVTWSCB$o7Ixx3kU$6b(xd zn8fG~kLSg$R*k1wssmxSt`L7swwTn#jec?8uXdeV}w-S5d~l*zd#SC zvgF0345#MtkLQ|oDR0TrM%G&lEYTi3W~8`a%^m$J~(iZE5Tw5M3vWJ-ykFN0}l z9F&_Z9aqtxfYYm{=kvguFIbH#JHWm1Tq2BvwQ#1D_Mb0}TUa8B_D$?tO-pu(rVQAN zjE*BmQ>?NLOcj0M$n-dG2Gt!_-+i$HA8sW=uoHLn^(`61&p;Lf5CZOU_)#JL{Iie9 z@H?nMHe#U|sN{@j60kPCuuWuLbet%tkrk3eH|3hlJd6E7 z;)9hNjHg~;bpQhThWt>P4JkvjUw4tOiVt{!dtto?l)-W^#NA-vlImRS&ErZ`bml}s zr)|1<2O#c@)Ek}NLLyArWnrN_lmb)xJUx(~I zDnX35IXujX(J)-b%HtIOL$k?dHuy ztF$oJRa(@0ad|pXOFe&EPFfX!sGw8oxBHQYVIvAZ#vlnz4X!xdz!Fpc8FoLUscK{+{svVA`kkx>6S< zRKr;K81GwhF|((56zhG+i8d(1ke<$Ds^ygqT|!O2mM-U&RH? ziqA8n#MC4VS6tN6qnR2qWuy$*;5w~?v>@ne#5FG~+@^8Vs{Ec$G>M^OzUTX2;(flM2Ye3DHbAlsc_a%Z$FNJpL#j(t|Z);vfRph#LDM2wJlQ^=l zBBfP;ns%GgAfN?JR9%<&T6^C(P{RNZ7_|cZ1SynuE$nG&YDlaqajnbcYI<6xXY9Z9 z>Xo`L?F@DJY?aEIXTu)PxE3Z(E=afhL0AU_e}dhXzvAhG35a?fN=t1he0c=-T~3rj z`yDN>2w{`?ZIxd>=vJT*(_eV<3xxr`4p zMmd=zfZLUAt~Bv=6-B-+L0r9gUtk^%zU8fIT6%LR73_k%9rPnA;s1I?Z4Hdn$p(f_ z=L;~&UCp;=hI5n24o<}`d~_^qYV1L;1df(S-wP5NJz%2*St*Ft(3+Dq(02lm2m_fF z%$SuVr-pfdou%ZEays1Nu6hrI0^qFi-QBokFJzx-+!q0M^3o(>1?8>1N$D;k@+|vf=ox2a-FapfN_bC0~XeX{YYS{hK@~ z-?cmW$pHH&8liJ3{FS(CA#XT-+(7}~2KJx? zXHY`CP=&~rNa&Cr_kck|QX%yq>MHThVBidX_2$Aoj_81JX8_6L>X#6W$Zf}3@wihQ z;f!+Vj5-;A%;p$8N4XT&i1a+Bd8e3UEx3SC>-b%pjCvq^MtY2!x>!l?@O>so>WPG5 z$K&I+q-|m^#=Q`a$I%SOCkBd;EX5n(_{5Vs&`{NVkm%(h8uu^M%1+(riCnmqvtZx& zmtXm@STr5qWYkRDUDC-4G3C4coK3CsNi<~)988l?Ig06P3UBDUIl>wUX}>+x**!)(?ble{J7?8Ma4oj$b{6xOHePAk%ZF#LmvbG%O zw8kCj;~!3sy;{X^B6a=v361)dnESIeDXe{t+@Vv1uqJn8@_Mq9zsMuXSG;7v?WwZ{ zt-x0WR7O^%<~D7qX&KYQAKei2RHFKi6(*+A8W(S1vU(WFt8?L;H2;ayqpp*XCzKWbX4xG1l1He?2IxO-%m zj%)OgQGsBc*a2nEAK&~2^5$0$1ZO5Ud!QDTZjVKG=U13-v*Oy`@QZcgiIhWI93|e( zKuTNH4{a{YN^CCTv;VR_2)>vKy8EI@H+R=<@h!U8^dR7;P2*_uknRPU3pBwy700Bg zi>$9K{0R5WPl}FekwsG{Rl+=+v!*-`e2{fx217<#$I(+hR*N>BN-FT}!Iy$DR)NJS z?<*NkiXlA6fID>4Q(n#KQRI%;P!p^>{8}`iL**eU%(FPOd0HGw#a8;-9!?$Y>g!4O zQ+Upg8=`My_IeW41ufbySIX91ngjZR)mfGt4Mj_ErmvC3)FLFQpIqD~G()JII=c$< zN`v=Us_5dVAGP*))DAH^$RxS33b2o?0Eb9=8u_cc#=rj3k3nZeM?M6XU_o@{Qp04j z>6i}6_s0B5gM<@~se!zpb62{@0g^`Zh?B_;ClpiT#LUUGC^yu&Y4Uo6qu?j%PS~sF z>2GVzULzG>#M4m`TiHl!f1>p`Eh`~y<2&;xEC%XR&&E-4T+a((n4T^Pk0ymrP`1CEU1oBm|ZaG9+@ud#wXyr2JbF_E8 zwS50Bj!iPlit5b^v%Zy?`KkQtL2~CsgZzm_=Y27udfn0)m(~z@Ld6cN@ZGRRC{^%o zj!<#Wtbar?N-exzvs!pDe+RzYzD0sN+8f^~>)XB#-q&r1TlC!+ceMzYj*uiGyi0s7 z;^oAbyN#R9TUKseSc-a zJCgADtzc_dz%t<;&BzDtt$c+an!= zF8Fn9rcW{QT|}md3MZYNvU0_Sf%B-yw(17!pv(L>#{a8lEMroZmA(eWv6~E0yvRrj z@T%hjoE$PvG`X3{PJ;P3)~?DP9&$wO9)Nb1mzU})F99U3QZy0Jr`Mdjv}T;x?HUVE z)o!k2v0i1IgM>&*ZiyZ7Z1>`7lQi~iOb{Ix1~s0LU^1$JPb19Hpx*g z`IF3;tME3Kw<|RFdue36QTDpbB|WYy1^Bm1Pc(&JyFQE>K;;e$C!FL48M&mtvz6+- zJYGrhGE>$jFoUY9l-F1CNaj4(A-MB8igOA;mRdeKb~x0YlmareiIia<%8OCQ9kvQt z{UwP>&H9pU8+ljC{_2K1Jq=gl1ph9Jp{e6!Af&mJ^bwQQXDR{*GGfE^ZdNLmq?I&7 zPjnVuZXGQsG2CfCU9ty$FH=->uK$vj_NA;RT3YcFz=OIO4;l9jFT21{ygg(bm0LH} za;*X>%CU`q_otNUEqG~J3+$E^EtAwI5_+k3i9=ZAjuz7^8#flnAaOIk#rsLt(7}!& zQ&%ZgH$V`{EGju|A3M0Dna8#Ur{#qkkH*CgG7wUMt(wkEY!JM8LZBPqvR?*j(fQz@ zW$6M|WG;a;X(mC{i4Gi3$~l#%HYaPZxynzT7X(Krn3?W&0Y6^&8bedcu}SNeV2@GXsvqCP@!hIZCzXQr#NY2`ZSw1j4>^7{AsP+Zow1B*BP`O_)!=-3SCWR3A-$O(`4Pt z_r$u(;@Xj`;nQRmT5vN7;D#izwQX@--skWl8@}?qeaRe&&LNS~=*UD$6@v`$OqW}g z%s{H^GI$fR4y0B}n?si+4&qpCP%4XKDR=J`2*wp4;J7-pzBqB@OMJONXLQFIrH-RY zxzN!IWTir#&l~5H@N_FW{U19uoy3h~X_3wqbT#AaLVy$R_D$d1F7T!}c39^Kb&i0W zLgACpa;b6v)`P3t<%o2Sn2Q+bL^W|EX8h!JR;7>UHSsXHGp1WmRf!pkO0KCYUoy_e zy98g}*Mn@X7f6ggoz1nCTR|#;_O>W{KGeHON%`vKvoOitt{GLs&s zE=JmBhq=vWhIIil6M$5K(f%5Nt5phXS)_O}22L;oxz+6o9$L7W6!`(1PdhqFoOU>h zmfN;iOFTpF^<#>giT(9dzJ>QwR-{I|*;!<$JNPlp(&D`*H?}0K+)iw3*SSvLTFT{|MXst6zA){H{`4Hk%}#YX70f&)2YHXX zVPHpJztZ-KZOe-0U9|>63LMmGKr_%3Uy(LqO_dQdv0_E5+=|SU6pwpU@PhOwBgQ`a zz=)&1UKGbu!*AHL`jga{!DFlPvKN=bkJvl?1Ncz1?-&nhQLeIiBbKyM?#-`~sb3z+ zW+kb`Mm8w-*!#7aUyEXZ_db;C1qQ97a6tW0TY}D|Bf%H44G$?~+lfIZ)b`A9@nh-T zs|yaW=r@J{uJ;|oHIl{S(Pxk>kVX0k689?HyZ{`mcC zea;Tnfq{uA$qw$a2Y6+(mn&WX8yxHNTzTg{{{1>nvja6|Az*XUbfguk`)OT|Yy66f zGWgG)(h|DF>VKYV)J?Xd+$uDw5@hDq<)&Ows`Q%b0~saa_rtoa&e^%F0J~}dDb)q3 z3M%te04U*&ry~8U_P7$juYe~iPGO+Kp*>D)%Aycf$XVevW$;r_CbO?_oz~EKt+e1r z%=lc#D|H+vQx!qXSl6@+(fMq>M-%Vap`*FrPCd2~*-@VH z*_Sl&`-wExo|ywoWEi|)vsq{4vWlrg?Im49|n@O@$ zdZKx;fl=aHvClrH)Yw@6XK@D|V~?axfisE0@tN%5Zf@G`cIvPRY&F3l3Iep|o+C#) zEeznN9;cNKewud5Kx{CqycIZ#^YZd^YB~u;F)m*5&QEsxOnEw!uILa<-LT3kI7-l( zVK9ZOwMjY11qck|JS{2Cl;C8q^G%rY1)ip(UfrRFKSOH*E>pROtnN2?r;5v$tNf<> zO?@MuLD#faOOI!RmTb9eI1Y0NL=muDXbsIb@DRU?&DRM$(r7|3Iv>sEGuZ@A2vBJ! z?iTGN@(d6nQFSlCV3UjlfdX2>v4vxXLpYe(Z>$dJ`Gk-Xm-diwDor-~G0j&@bYvxW zbOe4K!u2u5?a0oG?f`|w9C#9Cr%KaC>F2-`Z6dLk<=A(0B77Y&#bw#l>q=Y^E+4~L zkkmV_cXX`B8Ehg#zO@Ym1zbGt6(g!Hb;o&|%VzRIC$y(Be*a6#9>X18jv3rA+$h-%`%;aw&ac>5kxjDC z%38DtDcw=4QH#|lL_cM4IN0qt@`5H#2^N;>DBY1IzF$R4uhrIq2F(c)5n!<_iMP!o z;$7fIUY%)IV7HBiNe|wofRSt|llGOYc_(pjFCblWJ}u8`U4rqgSQc}+;u>qmQkpcU z&j&SD`HS+ju7y=Ueyf0AQ9BaASpL`i%y@nZ*U$JHFAVNlm8;biYuXWk<tMP^rL}Po06z>j*L@_ROmxl!pzyXKu6X=QmjKXNS&|>r?zSyW@~s9_8Pk~>I}@@ z3=k-H^|g5X4zBF6^{^`dX+mndoW+x&RPd+ffUR96_E?SkU@H%a?MY(Z+&~R8+aKoX z|36$ID1(CMe@$jUE+JQ`5E-dX>&_`Ft{hiX($0RNr7{)jN}4ZZ8AH0c8uyu?1n{fv z9H;*BZ~w{d%yC-@BiZ9x9#H}zW?bj&=S6X{9SAR z_{o7JefkX+NQM1FS|F3aqUAXB5oqC)IDSFY^8VEy{i>3uej|CCKmA*HV;l%&>G-e%&|N@ljJ^{@W>-}v)C`0XG5>OaMAfBD~h_bUt3wlJt{N4MIA-6}w^}^*g`z!*Bi_mdd|D>gn;@l%^NE zdi-6MSEvq>%KC8tE`iAPt%Pj9z;XnExAeUP5yKMpC zN^t%74_lV|yFnzn-8=;m%ZFS|IPpQFTeRM$fe)@{I`D(av!L|)#E3f z*fli?i5p4{d@>kgF9ryUYy8HS6bu${8ED^@0Xg)8T_y`Q0VP;~xoY9PZ|zzvZuc$X z_{cDAYaNNh#~=M51=3YET+RFPoLPBx&WiWJqeVta#jCWm>tUqvoe7YC%M&dmt|cS< zF(sUVu5Yfxo4R!^OeO-X{YveS1|$HXCIQ{5cJfZ?AEOJU&Hsv%Sjcgi5Smw1B;y^mn7zbDwxMHU{ zCM^TboafsnhKrkk`h~#xv=CR(l}L(FD;?T}TvbVxOi5zVS7x8pqNIbwwcLZ?X_|$0 z{&t_iZrvZi2ioqy4x6RSgwT*p(aU?7Bv#t?;$&e(xgn&<4mVWqjrROF$eXbXbC55_2k zvCce09F$KwiYyDEqJiNLa=L-esqQ??GRtACDPTWYre}F^=!XM{Lsw^8hQD(p)}G{K z3u3?z_GpKR&MQO00mgWuZA6yp%hyA8{jmZk@!TQcVW_jNvx5E~*F5HmOgstk$KhhG zr1bIu^hZWZ+^g)}Y9t9#A{o4B0}Er%^ zEPC0V0CMMadC$}t?C8#1Vz|BsJs|iXahJamcznH3i7Nr7F?IB%h2p*~cKcL?6Xx(C zqcc6(ZM2S^EShUxSHdu*ChY12`FzV(m?2?)q^ZOv=UbfALRQ0Iq9sA7&PAAWpB_q9dtQ$YvR=kE>G(cMzdD1`x@_l z^+EE0tGr|q6m(+m)sTIfSYa6J+NIQI`*fQ^0Zwgkd<8JCv$|&DV3nDBE3!h@S9w(e z^gM$yKmtv@W~2i)^Yu|?#)^}8dLXWkR$0?_sT0!rlVPhfuWb!RMXINR%_h;skwq`g za76-&Jeko2Ol4{>+D*ZI{((t9o331VPn0zW3vBUh2rnmEu^e4<`7Ny%Wt&?AhkvX} z49kOvvy^#j_sr$Thc2G7V9@jJK#w(v;WL+mp!0%^mll8-AYoE{u0F)pO-*RYcm*s; zbhf*vrEiAmTUgStfKPOL%sZY4CP%`;l>ZwE9^`r*G$~hl!omB z5mj>Xl5Gr7BDA7hI>BVP zcGeSl;9HiDJ!2WjZabX}am14<&|W6_0hD{D168fiH#;e(PD-q$z*!!1FP-WjBfM`) zaDq+`T5L`@8G{)|3&{m|B%C0*OQgUzpmrzwEWatyb+yD(da9);*A0}YPO~>OW$V3+ z5Ri_?qc#FOrrqgQn(tRB12Bzi*Q9Uft<&Xqx;9=>QKEid76h=c6cC&w=Fk4_x3JN& zavh-Yxc@P+MbGY{eC)DAMzCv&lNuB1>+OuFVm49FLM>o6SX7c3RMlaZr7PSS09K39w*6qnr42e!xSvqOovmHN` zaR99D`fy#)$90xhuIfy-VF9n>VHc~RvS)XH38l}U4dlf)<<$a_{JPQPXmM!>hTViE z>j_R8INqj@6)Tb2VSG+(x5mOos?qQ(#@KM843F>R`ln*@B>M z6dwWV+*TQBhqvIOq!R}F7@C_D%wF|^x;uf}zw1*|B^u4;13x#+mzjPsQ)%ToZn4!?yhRHRS`P?x*-jKs_I5nlKDJm|7^Y!i74y71*MG^D z1eudR4n2TC~hiznO@E3=dmESWiaXe_jrg2x(RW%CO?Yv+tCr+y->_ZYc;CUN2_wxn;%j#_?cDtFk5}Zir@F+G6_09K|!$$v`-J5llZ3a)) z%F?$uF%xL@)ZY#87w=PWf@eK?rUuEmiesJTR-7PAm>Se_zitP2K5)q$#(I;WN++0x zJ(AlXx7Z8h4g#G!ykit_$2C0pmRi%1bwACyr*SUE#YT5b;qHLli@iRlu1-3yxJRHD zBF(#;%(4*E`5d^W=wuAzrhnC*DjeN;vCf^`d7xMb4fqBEj1Q-{{xP~M6?WMgmmc7! zALI_4JK*9)vg{pb`fe2)-eH;JjBb3#IP|`u5kq%$l%g)Wo!8S%$q@JUK{K-2?pB5zz(E4D$u0T#M-WV=b3om!LJi(h$ot?9x zGzF$g%N$-h>Xh__gAO&={t9q}WB_mcM`B?DjH`Ds?__4Wa zH=q7@c=uhWCiU;@aYhsnT36U&w4zi+dA1}ApC$W#a2K1ST^Ju5fg7v)vc~HgZGTTp4cF%79ImhRo(kPIw8T;)sctSb-Yit& zoW?j%PYWY%=pe!?GwBW}S;Ca$w8RC@UCVL)BT0=(Wfh5q6s+9Kxy|zX$xK z)nPD{T?TY)kcMnrcpuEhjG}wO3n;EI$e#we$O-P95u@su)62(WHx?viy$1BsT(`Ec(Zb5V>Z zA-k#h$P_zw!<{y8XxwiRJq9RKWdl21v^m^mQg+n?wsv~mGum#~NWR6pH0jR{xbp=` zza;8SA9$9u)2c&;7W7ZP^aZ(L_a4O|T!H;y=!NaEk8zy5u})-jn>cw%pJJcMhrk`e zSS!A34BdyFNV;?P4%iO6P)9)D%;2TT2+91$FqSfO?Qr#C?~OHe$xdK#z7DCinzF2D z=Vej+CNP%uAN|a$R|TNq5CK7Rn!T0kWj6+8ci~V|0S%c1ne=D_KJpWf6t=a_9ac{(kF1N9Y8;}+Kiv{;yAqVEtjg~8}N zGZ-ggLz~6=U1tU)HqYLIXtg>Hl?H^vk&iMbvHq~lM9B?8W@sl2NYG$>lRPbGX@p=k z^dEevYG7enq+_gAoC#EY_l3&LR$J9;D_lezJIMf0neqtxoFnn>SQIjRYNJ= zpG)t0ZMt+YCXX!HpAMms!X<$M4ck~t4u-nsdna>+Hf>CI3QgXtOPRwIDUDR64 zW6*eOk@GgE5bqb56$sWH`TC}7%caduz8M>)}yDx`4 zT+3ZsH72gE%sS7G@PZ;sx1iHHF0@LPHd5b7tHCAySk+KDOy9hs%tKD+Bgj;sp}@am4K%=|Kxd_4o-LZ680X zd7+ZB9F|1~BSF=u5zt?9+(BI%F%{8Ph?QDvto9ucs6WcnhatTkq7&~TPbvk>C9$G^ zto(iWv*boXT_WfR|1fNhg1Q}e>Qv7o0x_Tv++B3#s6%pU(IdYzW$ewQqgIDv8hL&% zP3rP1!^J~{KX2Saxe@SmLeG#0cKxBwL`dISAcSCXU>(IF|v=>P=Q>w1%#mi7=Wj z88g=(af0e<=XH`23jl)0k})!{>+WeRZp5{IVeOQ=HHq?UE4FA$IM%rOq{S^SuZ#lw z@{aGMDi38yb*#k7RG`iYuz_{TSejIAlT@YpOA?rAE0zokLIX9w0(77f>nrfC>t^6* z>vyHNa3zGF3mQ|H9CT#jA`x||uSZ(#_t%#fp#eG_1xjlho(JE}eTeM$cqJbjAY_TtHF#H;5&}dsEg8+?yh^=SlkY?2B6( zlf%8{>s_-(00jj~*GXa21`yb6 z!3Bu5a*LbP=E=E7t(S`y)Cd}*rIYOR3cA<^cUhH77i5~3ReJ&^`xD*r!LVDXnCV#T zF>XA>s?&`lGT6~fyl1ceIJ$(u3q5C)pu~y*87Pd z2r0~L!yJ_$0W4R_IYD>$Rj!vTIMXy|fPS>pCQ8&!Jftc9|gu={8bfMhkcy12PPu!tS;r`1NG;oY*(Z2 z^#{l7EiHBGFT+Wqz)Cl?*qKbim{T(xGThf^2fV*FW)tTp7NCu_&nSBooO_4wT@l>DTcVv2#*-CTiK$hAce?e^$OZ*^{i7%$5 z557WJ))wm;V|6ZFn^vXe@)xF;8R5dTqkyRL!9!iyx?J>$adg7mA8GP zlqlDIrd;eG2mq?6W^ftqc{f+(XMY6xt4n#`98fJ`rWavWZT(Pyws2|K&+F}34{&BT zKZK`00wK){_=;OlA@1l`^MNq~9`@ON3w$a1gpOVu^Q{vP1nAEo*#{r)t}*MgLRUl( zjsRhCwxusrHei;w_~n8hh&LD}qQd}0x5d5{(+q=TD30S5dQJ1TG(mX8V(~r&Y_fXa zn%AsU72VQTOyWTUnZ%0nL%a`7GW5w%NZ3`D8mF}`B(B{<-kw#01}3)=KD^Ef>eD}2 zN@U50aObkUd!#Kf zOV^rQbt@)FzHw%qR3QEW0f zni*a|EpT)jq-;}jXYzUqF9`5JNQ^a=i~0=%j)wb=N6tJgW-J_D*%hSbX^{Yh z;K1)mKyPbG>)J{#HF;}MT2=ZMZerBqG-2h%WZkaB?q2XpBkwQh!2Td`8-x($bgs=WlLtALMIs|N5$*%DxJ=ytflTAYT)8IAef|IgdI{7SQIcS7ghYhQP#)DjaI zXFL1ryEi_kZoVH|Vt|ksA~8e)q^zv0s@#=TStlQRf3<}y**(C}?Ex)IJPa~NwlD{C zp=pELQg<8Seb2yH;$J{W?FWMv6DG{~{Z>T2>aq9tT`cZB-+ooZiii~}BG!sn>$g(D znAVrz9d))q*QSL3V@$a0P%DN`nJ+0l)U0)>5ONC0UP)hW z5Zk7h-gL`m153u#PdCj_Nr=Y3b%HcZ+Z;r9)y~}I+${v_fE+F$QBQ$| zWO?cs)X@-o#_SVvrEHFFP3Q}@MSA|1ozP(ZIlbk{R+`JMHHffWkZlf<@8rg0=aN!x zv#RtyCckmVW19@t+GCmuE^EvLMVxfjUAk31qy4nV<1$#gtez_?Z`+durPru-%RU#G@*Eo5b3;uy^J(ZB2rc9qq ztl<|<4h$}$2VkQqR)TZLip5^)ZPk8Tuo>*S^gijBagcGF#1tW90V_T;wV}-P*TvV^ zU*tz#JMvNNuX1PRv!!*cU-JE_`R-R!LWvTMkw^(;sj8F|`wPhHosnR%N z6Q?uS9@6*v2jb_Xj%gaGE48Tdw9&2mirY{FsDLq@&IVcxl?qvAj9+=-}#qAz{ z!`ePkal0k~=1lw)oXRDaF$<@ZsoV0h&D3%5SHb7=O4kZ0M3u`frERD8vcvz+y@{?b zB`y{d>iA1X`PpHUS@EsR{d zl`bbAOGJ^mlH`!)MC7hZTvcw^_@U3>aijyWnJ#G^>_~_hEHYDc?WFG*)L4GQa(=1k zy-Np7#+yo#&4zh;%N$#2S}E=K(Zs5hgKa!4ss8S&BPZO@nV`m2nct&H%?*>XzTGk( zBJ-BU2c&sdwCShvm-n(w$2?V3fZ5XmCgghqRXP@=Z6k*nOwEe6n<$Fl!?>X+iD|LHO{ z+VA%nq~xt!y_@&hI;VQOKc*suO-X=o@ry>8Jv|anruG~B(i}cinH5x`1itl$I@BtI zhRcLxMA0J{PM`SIXPyNKqdMlRnr9(>FDij-c#*6puRax|#S?J+T8dQF}uT2^7!ufKzH;`I*>486F>>?ru5Or`7?%XC}A)SEUmWH#wP zo5y|i?a&MBs2;M@ciLc5-T7c9SV`d!q)D6SNK|9>4qOYl=5q%miO0{H8!(5QX)wA1 z+tj(Hm<{f;o5BXsY^Mzgz<#VR>FKAP|BUmZ9N6chP>!Yc8$qpQ{tPp4%k!VUC2zOD zpt>f%#-?Zhn7A?bpEs5@R!?@xCTBYF@c(y`t8^R?&X8?T$ zt1D}q@K8spOSe||XN-UdCRsJ#uyC|R(@9okK94T_uTCzEG|++Mh;w&{RyHS;9oj#a)J$JlM&XN`vpE zDU%_tx@>1LR!XZ}8P;th87xBa*peWG_AtN;x+yUO$9TOEqjJe^U|4$jPFO}B+NdJ!uG!*h{m0FWub(pZyk zvm{ZFjpq~?ld7CHj$EX-35ZWOvp`>)-_&f0I7>$d>~x3X_{Lb2Q@eLLIRu>-H(KMT zUudTR@ldqHAz1?;i{k=@-KYz1#|^Sf$H&tt&ThAstuCdfA2Ek)+=VlFP+(ULPG=7mu@bTr~`wRndP&e5*D^&yP(}R426= z13Y9tlbvA3%EY4eL3>E$Sbk4hj_Hce^RDA1XM0L=wlpEWWxh-ge5HCzSfao^8&uNE zZ+tep@5pax$Hp&y4?3o#oW$%~`NuvLE`F2gL^zAX2YbfV6I?6dbBtoC(l4k{;^~+AMNc88>N#sp;W!}ZMq-1K@7#cx^m<@Wd z$De=MNk9~`yHX!JblP)cUBH0>^2?sTu#JE5ho6@#Sf}c-B>S04TN)5sf2UlHhLpE9 zle-6rNMc{h)!6urzN&oAONJhc@(?i%Y3%lOlD>|2Rwv^v$DQ1#g{a~&iG66#s`x_{ zg}R+%L`x_#ccdKOgS)ZksY-#}R|>5@G+JfKeJS>P!F^HHn7`Et!Pn54Rf~pdqDK*# zq~*KUU8LIbZ4Y*Us^s*Q;-OM3*u*&P(={`XdzyK!7ojD0Rw)@OIl>_(_+fziogBOo zbNMn`Zs^Tw(N&uYk-CB8AXhu^PnHui>;|z`8*~XGHJzc>*mJSBsgfE$CrJ^@f^d}V^h1=bm zo#tJjxZy>VaaGeFY6fRb2BUBYgAz6w4&w`kilOogA^R1Gc9z!1T)=`vJ{aDZc-Vwh z#c-$?jTO~enem3nxv*5czQJgy7mxLVi^UQ%i8b*vRIPD=*;CG_Ywhamj(G!n;deZb zQWDPVIg@&^NY~l;C|{u)ySnDE)?9Z|(^uJ*D_BuOK4ve$87q~-VbQqfGmi;99#z6< zx0g&PK@pQe%_{nqJo@xJVM>9QAzifV_z5}~&#MG|l}J5j6bGi&99Dqq1gwYj5WmRXA(U2j+h?zplQ>UckCu9huF5;{wzVI8>R%2w&a=c^!OTY=s8aaaXjzp~Zi z4_z=uuDcYe$evf|m$jqjXzPJEdZqp|-+Ga}RxL`>RRrlUPW_ z%-EFWbV9{pO=tKlOP7V&=B1fF6;E`B!^A-&<2$4H;IUd_J$9Q4q#7o(gy~ln?PXn7 zp`U2RSj|-Y=Ez+8TIHdbRTledL##p7U?Pj%Vdf|^_Ag3bG}>h86Wx#KuF|A+C9Z8G z;f`Z@gx+#!JHnoQ{ zK3zex5pOcq@vk&hm8bo&NO`Bk;5DYnNsC=I=ae8f!1$dIysXFM)tWfZl^msEgOaV;n9f9v_b4fH8 z6i##EcW&t}eT8>wQVbm{4=en;KT69@LE$;0GwB@f5*k9z@B2^1g6BSJpAG*)MDjIZ zJ__+*9hpwY$EwWJO(&0gwz{0WvLL3kr=%v#HK_Dn&^jAUn|4gS{`$?HUeP0um|&aR zB}A~g!oq7G8$BF=d)B|RCeOLg;G^>aenJ_e$8+!|LUJ*)5_5V?8|JTRihM49hK3lh z{VPj&$IHsG*HfvzAZqj=5Wyv(Ifv(*IqQqW+lTX}-X=Fnj=XUToXE{42vL-!j|9X1 zrc5_ylP?}V>N5My4qS5df{XwYByV(Nx~lutWN6d@CIYc;s-gJX|o?TBNFO0qJkINdL=5;4B+Q-rA`4=N|Im{onMQmg6eHIGYWUR7Po zfJEi+ql{TX@2@3M#S3j5p=1_?<M9TZX!saNh!b}9x(h*l6g75AckyD<3= zpF-HJMN0vvcqONA`4|GHFLp%fX+NLt*OsGhw9VmB@l$#Yi?da(NbmB)mzzq(4}z%@ z^O~90=|w%EtDHqXmF}?;WzVq{JFfLOE7OxDcH=`OCuxShLBoH8hWjZrFsk4k8ct8cd!O@?5X$VsP_6I2DN;I}71t-${~YRWFX!@H z%-Eo%q?{!lakoj!3-15#Kd&=&?TTzyt=Dg6?2;U44HK=+a(5*UI7g3rGhemSmv$8m z=}uAKm_@M6$J9?cuNEUmp{>vpU%TnR0`a|&k&#zvJ3&wUJiU|ei_PF_s!$Z0fo2p( zZfJNnX!a4tZjUc52;TJLTnk~Dwb;C?+IuZ|H#+TG{sTIA*}%XNLS(Lrd{apb??&bA z(pS0qiiQ`abXOZ`hd#`ZVAlEm;xX(ApQWrSRpux+)Vl-JC{rQijy&Onz0?poF(mCo*BRJQr8~L!tKxrLO}c?+h4>j{^d`vJh8qMflLuYp ziR+J|a-JmbSv?}rxRzFKa2tD&<6i53AFl2WP?9BYl}XoDdW5?55!lLgk(VoU*0B@j z8Jc!>z)Og4O`xQyb0U2ibgQ4ixG~L87>3n?E$l#?pIo6Mlh2V7Hn}bd_yWtImU@qAu@NXuhDf5j9bQK20YbOwI3yK5&xHd_{A53WKz{LJZz{Y zDCLt}@|K@R zPGw4zA3b`yHC^)^FXG}6SD45W^VEDY9{C8dg1%f=%qB(Ovl}$|kkQtfk|PEXvjcF0 z+En$){8$*9j_|b|PO8<9(gGi>^G?#7Kq(V&FaA_D%PS2X=|{laT!KPF`pho164lmi~A7ll0q`L zRqOpb-OloizLdAwqkRTeIdMy0|LdpxZGsKz6woFr!4JAkR-(*_vrsp3TgBU&yvc7; z)v!{9NwgSPlcdZ;eH8r}`E5tQAMKF_`z0+zsm!s;AWH8Ip?ES?#-p})ryXKMv5{09 zHS_E}Zr4>NncQ%OcT7XG-{(}paw7bf{L%P!NR|JD#*zpbe| zVm%$Z(KwB+`csW*TN@m}Tl{Gdo;erx<=ubFNTC;DyK(JYZ*y_$LH zFFHG=oOjsXvTad)$`){_h}_Y>LsA7nu&+n1Tmpc-+gnT^RF%zD;hWNyXbWKjzLkuR zyG^+dBxqlMa>!oXIA2v)+k*16r_abc6Z-IdjZ-oh*y=I&D8c@s zmtu`}I!*V6?Lz;fT8uWjM)LN){&pq7q?nF4N`ipSKgq)Tz~|9L@_{LOCq)7`418h} zMN-6#7VZaP&DCl1`V-l=@V^9lI?)d84@_f;f>5a$Be_!HlLckTX8u*a42NjM3KJBD za*QSTl&-+4An{y3glWQNl9(L{Ep;Mcm4XG9kN-t}%yz;LR^+lsWGyKN+e$L4U_JPr z534X?EB*&2u82QChvk#@I%g)v*p40I0pc@{pCwk-(Zzh3T70u{BR*i0zQc4>AE;6C zh7etNL5a}ueIf(d3x~Y07r_TAhi60eToj`+gOB;5Bc)vS^!3}l<$_%S{h?%}Q7oT& zgttsP!raBSM{FKXns9vSgfC||Y@^rTR~eg}#E*F;;ixvE2&Jh%Jr(Wi@5^F{6F(pb zko6S^D4bxJ|JWqxPXR$aSq0@Bsxc#ynBcTUcQ?hsV5R};v>Kp!2%E6d zRcW1$>B{O$n0-ZFCG?n7wjCQNJ|?ACsL_Ol9NSKtqjg%QgfW_w9O+F0P#6!;;H=G= zSRp@1wgGF2Ur)=WxXj3hLsclaeO<>kGW_|_OlxNN^|Z_yOMNtHa&o+@s@j2N5;vk@ z|0e^rSGO?MwVGKh(U4Jw76JK*5CmzMhAR!4%lB;kah(ne37fl`THo%UsGjUSHPNY1*khb^3*rlZ*J zP8h|0XQ_{Fk6;8&?Xl8{sEDTbL#7pr|H6Ovi;A~(C!oK}bYbioh&8B4J_S?cqldhdpr82|cTJ97bQ`ed%^ z25sgA#JZ+qhzXZ=jChSb>sdlC`>{R?o{OBoebip)`iZV=NNV|^D%R#RGgHfMoc8g8 zUK|YNgB2~#t*+!jVF-sx;k1(QL(kN9=#%F;eQ~)E8j4Gtb6TQ1 z>MqWY;$)yKM)6owmKh%`v6TBbOdscWUtI1bhT>SM(9tBPwTiVs8*;&51)<{(-H~Uv zDr?IeTXdywN{SoXB)bSd^iPcZ9nwyK~Y=$2ARLNmytYe(a%mB-(q=wtz^ zX=EnFa4hZ22=}|kxE+N4INEqxbh3ha!j2zD(J;VZTKd{D-RdpMbLn9>6rNc+dBKb9G^)ctg+SSUL7Z z&$hB*mx;acco6v+s!Vo)zAson(VYK7>9duP>IVVr8^O>e*SYA@`I_rR$O}Ao+$(1- z&GwsN#bM6IV=fRbomBbr{bmpkUggfXHB_1JH~s$MdEUrg*=C0dv;AglAeu-=FfTtj zs{6I<#j!WY>pzE44&xhk+1BFS?19fVEm6;CAMksxY>6W;F_}^7DOZ>V(0BXzSI5#n zSvr8yk{C(+P8D0-S{UL9yw3Oc)_1>mNcYyC{#wUWF&F=GV^vkPn9x${_$R-CpRE2{ zC11OI@(XXbj0Owmpx?kytND}P#Nx2}Z@GLea`iL+p@P6_uU0qU-JLs4}ZPRjrKXG2t57t_h9I@Km9$Ze}DRGydQ^RE??EpIc*d9lYBAOG||59 zpdNN$@1OqK4oka*)h~aVe9!P*|61qzo1tXc}8mikxefB4V%`#<-^7sraWJSrP%QzIN2p1b>iBviQ!@`1VWY z*RK4HZ_t;a=liToYk@|A$Yl8ndOVTwADmk2pz~*R7KrAWPYtbs|~RahcWH2W8ap7kv2hEpcStVF5GJ)9Mq- z@`+>rEO8D}3n!hgY6XtNC*RO|OzT5M{C3pPLDGWJFXicb+n0|G0?4=NuGR23r_=zJJeNJn`&?Q%a* z%~dzV5ye^&hUxR-4iy!udd6gSbS1Hv)^FKKuDz^ko_U*NIl5iWs3Rg5FYJi%Zk|u=MfdVjT&JN(#I{d46%tMm$ctveI6uOX?64nfi(P&a58rwv+NS2a%$2urnAL%z z5x5IG0ncJC*0$j5x;**tD)hXrymGq`3S02eQP~H>T^Kc7wnrw*fN(L0tx=4FI>4Lr zS^v4d-EiT@v@1v>TG)PU{Ab_mBV;c^O2_QN0{)^x1TP}>p;zW*Qyg~m>!HUyRbPg! zns;B{TVb#Wd~>fV_Zbz_Rc;k8gjD*{BsM|L1UTqp=s}iM;b>NP2@RH*k6$uxN14HX`TDK>?YFv8>nT}g04Gklk~_NwyW4#$hodDFdnpu{mln5?g?!`}E8pd>N+ ztdKhw^=eUrZgG@^F3f5wzdq%ZeD!zp+5E9d&;UO5^R@EC$Y`eKNt>-%F^BOG&bG>z z^S?6>W!K2xjjiNIWyF4QkTix7^+P|hXe~!k=z|wtf-}a)xV$LwBj|&cpWrK#gTUOg zeLpdl#AVo-)so0)F5fd4vr20<_M;$-Y2Bk}gvA(#y#0x-C~?D>yIAabK^Pg5-jB!; zM0bX*YTF@ zBsMKe$MIap5nDS*B3^yiiN}DtIE=i6U`dhZJEQ>x+;&4llJNFW)8LAaS~jD^ZTTOR z+$3gVSoAJoaJLgXuu@j8q*NRg&VhB_lY*wM7JMaEJ=9J0ox2^M zmzbU`*3}sULl*T_#U&)GyBB&+!5Ugt5Sr(-+)Y2i7R8|9s+OLFnpAP1A#$53*yjY~ z0P9wzkG94?^c?b>4~7nHE+(@v&eO5j!kO25b0p=Y~d)%?hWzM5K&$`#&E{$A1&>m}v6y8LR=;8x)BkCMzo z`9E!Q@)6tNN|H?To#k|W7*4-Fuvds!axRGqx$0EnD96f=S=C-y8*X1!$ny1%N%O2F z0kd_Ap~mdhVNQ!R{RM=ciW-(Cmqx!)Fy^g#rl%&Y?iSRvt|0DRssnniFZ<)!!>&O< zXJVW8R6a#8qrP@p6AY*PnIz4R=Zjq4YM6}-XZRBx63Bf{&%WF5Pm|F}P*~LrThXw0 zuDipQ{b7b^Y%f$Dx9H$zYtpPv`$;-f>6U`a1-&EGrHs~tc>P;H|HT&+l-gQCfwjsM zI*FK}8-_^Kr;ZT5kiQdD6iB3)S!TAZdFs_QQ?z*Dg9CF1N4v+Aj>V~i9<*hoi9$0m zPcLgO9$q(Fzhpv{#zF5IuqjUBYsYuAYXxJNq@EQRgkpz9vMXwp;-=|d*utjyD1~|S zD#FgfiES%3n5?Z}q5v3&Hw(Lqgn{n1p;G8zEidchr67zj4^b0Gdu*Y-hJoc9 zy}uMB0Vd1s(y=HViqFgR#6*MF2S*c|YKL%o35#TNlPs-c*Rdi)IoZ&1O7*+eweg{N zL{-bvUU`+IX{l}$rg<+pf@Fn?JY%}Ami1^v@d?nVU%%a;a7ibj!rG~nrtDTtMn#y2nR(vFq+qImy9iCMv#J! zuI+Wv_JV~MW2mvAtymF}t3`bu6A8Q1HqsMs=o!sfJr%dd8hDE&OqgD&*>>B!Fw;t) ziLVRbgKaPP#OC^jN^pO~vfnfK=vH~=Q-{_Z86`x-WKmw(+$!xa2yNgd26u%DhVmwr z-dtNeKC56Rk5*#9qAsxuZeWlRuH%9}?>S(E)w1ovFgIY#w<3^CuK;7dy22kPm{x*D z&1?oOux|@vFV?Af z1AoW(oAmn|!|TRu#TPk>N3R9#Q!bgyMi;7RblB4GOX`V{XrzKbUv>v34QL?{TcQVr zeqcd`TY*A@@n9WJiEU^MNIhnQpj!(xGW`T~-jLXpmM+t~yfeDT(Mfo(c27-w!yFk0 zG*Oh>=TtJu>vj2B7J2(?n7@)o0AmryuUCPuE1wn>_yU&9!%Rp)E$LKU-`xKTgfG52vkAQWl2 zObI@YH}J_37O6|63H5D$sEZv#GWg)a*J}Ep$X?6)L89eKmc#VO=new%n*v)i zN)f)qgD64VN7_1X7M2rx9%-%_`+Lu^7e2XwBDe=(-O1Sk`%+ z8o&2*dd&`3T_Yk@cQ98ul+ni2K#%yS|4{=|30Gs-N|-mSQst-iB~&Vib&6@I*7WWp zL{^{!H&vD7W|iK$3<*G_Ub_u?#CWO()w@P6daN!p z%+Txf#gxEd6?A1ubg?h7Z&}ZBH?(QT!GxAixY6@kO%An2;=yLMDAqIy1q;id!_aI* zde|6K5GwQ^RVcbF)VCkVG6{yFj-F0hy%KVg_p%RG&?IJ{!C2bARa$tPaC}ZQ6j#!R zj&zy2@k(C?{$cfDuAF!*98P;Z;Xx1xq+T+XjIWo}V~j$}!$MRO$a7fp3}@9Y=f$A( zcp{V7A$`Yk)l~jt=%K}-A!3SpPs8@e&2QYk*3?p=zX%2)PJs#&F3Fy;ZxJauU$+do zU?8Fi3wNEgX6X^`?s?8M2HG*2~3d8yEPTv{iWH5Ycj-viG_+M85Uh^U%+#PZSJ7#2zQ?6G<$~e(7XM~KvIinfIFn@f~frpb;ux|QRT;Fphtz>DI z8Do#BP_f=NeUcP{I#68ubK!5~EkRVXw#Ygdc?sVAe%F! zM@@vfWXrSdfgmp@6n-Q=;@4W4v_#-S{~AAbIibI%|1N4 zjl_ujp*fFef|83-^d*_A{~PA(Xgdu*nHN@6|C9biS-V+XJu3su;Hw!`Kx{q>>;QL( ze{adHc8Q}iS#UTZ{?9$>JqX^hkt<7oflcPl3-7HyEFhA<1gPEz z2&i`pH;Db@j1aU;ZUSi0M~g8gJ$-JsShyB14+HZqcJ9d$Mn>q@kJyjSx+4=|jsXtA zB1VruZ2VKW0Da%Sx71REQo+RL)f3HSKIzTqt*feSGAPOH7lsmIaO?~>@=DpRO!ij*HFXCwTb(L>La?P|yc z!J${1Iz4Vr^x8XA9mDg*rFgj{_>%esA3gC-8B*E@scb69<$-(Kz1sAYr7o0p%)+K) zSZA6+UiT;K&;O@?^w0kAKm2F^^MCPY|J{G^XTS5ifA*9A>d*hnZ>(KfJbw4<=C)!$ zby{rF-R`?zw;r=iYF&_`W3OY3IV98$CfiQO2+xgqXYMNV-ukoO{HK5Mdw=&Y{`0^4 zmp}POlcuU2W8IpL$u&3Cq`5-cXS62C& zi4^;>vP;r?>;L>u{^4JK^P6KImf!t)UQAnFrKbAZSNyAaH&nQ%??=(lwNnsir2%rl zy=+!`HFBhH_3!=Tzxdt%=)7&>0y#_{_)Ku_FLuZ86qFjrG(^bNC}!8}WO zp=3Q}*l5%z=1>qak*>Dsv6~f7vqu)k50lS_N=qnO>{T_bvTQR}Sz6<#Lj|y;+Apg~ z>3UzXbcXG^WnPrSSQr+@k`7Akl=`+VP#$0QppNoposv(x=0@}!R@i!dm{PzW*y5w5 zJ{bz``22RLvModV$Kvf${VQtpZJ(~Xp#sx$|2Fzju5jiw*1p8fU+?!;0cC$%?6Gw; z%+PkVSHw7g<(!szK5eV6*|pXZ-yOkY=_@>?PdM97=~>TE`pN1)dz*95^$UwXV<&|v z`7HSe`=M8x4R|>zyhA5YcxUO4hN32&IrF-x`1E?{)@jCv(wfQPB)1z(sOCrq%l=PG z`oN5T0*z+;6~lkZhu@icUeM)vDTY%1 zhLWCwms~pJigQRtmL{V_lLY4KMgf5qx zYiLLHIaBr)JyS=3#RDHt^=AzfFXr>^zkfBsNR)C!1g%ilD>r-rKF;bgetdiAN1(9@kKI0fyEL87YTuqYQY?jx7f>TUBN)?176xte47FLuU?rbT)d|kW z9P<4VmfkGm6)#Xeee5#1JOcF1z8fvD1^+BuRFgX)6(kFs2R$k8vnO}js|Pz?!1UWN zPbaU0TRNf+qGu}ue$K$WgdMQT1>2`y4nt+`=2nySV7<6Q4?ka$XT+QbJK)Ob$$h>w z&&atCuDkGDrDQ@{euklTH0Re4VMrgNvHEr9eEvWOQdni7XGyBX)RKgspE<^{Q(R^7 zl-B1i2t|?Zd@$w+k^;M-%t_gC7s^q4vMl1yW1)Y8xc}fq+_kzLJ?nGM^XK;4KidaQ zLY1B@@4=(%{vbg1=WJo_Rg%#|5G-)2pKTD)*k!&?5oUHun<=Q7!MyiT?>nqGF!VNv z7dX3rmeupOe*TLu#BM(cY#+0oP7RqeERsEVr(blKR7Tw|9q0AvH3@e1|v!=X=(9T{c%EH|*? zi#e^<54$g*YlTE8GBk$%Wv6r+#G!@2F^D<^GxJlX!nb^uZ*qBge7}5Xxv{M;ieMXU zDwCI(g1~D~y=dgd_y0 zSuj3hbEVP#qfyLaqXqwV)m08w&*^TI7Zxob7TQVsvbg?uPmYb^?;BdSuZ-hd>K!ML zbd1pT(9Pzi*i1V{&?nTYb`^}gYi+1c1|jfbDGb}QF6#N5P8Z}%)&k27W8*n3wpB?} zgrI|2dxZtM$j~*#fTlw9r9`1w%L zw^6aqKWXVCRuCA!^?e-z)$k&jmZP=r=oZi?8l{JaRi3~aFbJk#Xj|I~8z^zq%qGn; z<|D52ZA*vO!g?$iK-2IRmTvmY0J|JMq(jRtt$nKYvvCKeQQNn$^#SzN6eq2P1MC^RfE33?KALTp7J_r)$f@WtSGN_no7R(g;Gr|GWQ7QAnu zhe2bW@-0CSdBdgdFt%uKnSwRPe4FVe=iNW>7Uhv7Tr1y61MI;e-O#-chs^c%87ojV zyd4#tJBbLMUob_Nx#XlVCo;AlFb($hD#b}kZ;D;|spAP1xg)PTEBVGmAKMh=v8OM$ zMQ*BZ)((F>k-gwqZI<0?Tcn34Ap(we7-J!@a4UT0W^{mX?6B-GH68C#pP+0pTI`|= zF(0!I_y@~y3sX-<-JbY7vMrwYjo05bntp#ofBJ(jzEBxd6t3}b)j9W2Vz8H?^KF@Y zC~3}g66MGdDL;|H%|(0AgyM2VB)eQN4L50>z5XP%R6Lrve<&Z8Sh?Y_ssvXt`YUGD zme4AEG;7VQz_BrJTseB!0|jvuis@s6?ZNgmfyeX&u}jZ;E>)!GQJ~0NR1TEq&k^f1 zXHKqVx_r*3PD9Di@7S@3B-ELW`1zAl zJN5U)rprrHy9j|7uiqZ>7cI3D&QHYVoWx_^Fx>~%&>?>+pzb{9j1fFz{*B65y1DtB z7jko$OtrH5hjQ6Dd>ZBKT5JwS&I1!~FD#=z7AKpKJ$ZYELUz37Qav@IdZixS9J?vtvi6 z^yY(}xJL&)U4i|qtMC4ZbV~xf==2KKt^`vt`Bk?|@xkji;&v8J*eWc!WNS|xJ6v(V zf4suPU*@Y+ns}lf_VUE&p!_Kv==&FRCq3757QNAPx*_r{Yy+u#lDjByqNjV6zPJYK zZgXF)(}pkMjKR_gRz)H}beYR-17DanL{}j4vNe^nNaZmU`IAIv#^3m!29hOuqmGsp z511DnoK3g!SO5}mCML}5Apb?wmpy3Pgwt>wrcNNp1}qOK;QW&n(y>|o&tw8FQ9G=_ zh~+28@{MHpiGlq1KSQF}j%7m|j|8n=NQDYbfrVUwNWhOab5b*Go9)KL9N>>0t0fjO z74Xk+rJPiAefg2q+`!U*H)MeHoKpY6IQfzBzbL(g8p(hbptWxLi3oy`z7?R`6qE`b z#Z7SZ+EUNP1obI-$s>8`rgjVcXD0Ei+RIW2p22{V#@uHaQ5R0H`yids8~!+p zxuv6-A)#@MlZS+yk{G zG$GATObqfQd3NMc7TflOER;tko#}J)ol{;hN{Gpan4Ff6-1J$WwLsUP{51D(s=Jo{ zSH=^)U(98JnPYyHL%x)Z7=uISl+JU}5Xy$G>glnN$sPVQerSjbIs0DMQ;LVG&gSN- z`payN#KfcD%lJ1;8B8H&)U>f z%ZaByA2O`ITF&dUevY1lhJKAmQ%AsITzxU+s4_?4!--Nv(sGB&{R%wZI;s zS0|{k8GXI;R$j^^KaZT46UAO*`Vg z8C(D<->xRUyt2mz(a+pt(g=u26uMKG)lIrwN?xQMPgx!r=?QB5Yv2Fki~jz^!Wv-~ z=z~JqI`K6bi(8UY2vCQL{OWN%8e^DjmC=*=1vVRs%)Ww{wM9ngYC`tm6zZvr<;=U) zJw%if*W{}SG0(zoi&dGc0PAyt@toki>`kJ+RVk1_LfcilGos#EFXv@%5)A~&O90tv zO20YqX~~-e2_?19u{km{5wlgD6LsfA&r9DV97&YM$z-;QI#X{Ma*~}BX8<6~s^RaD zQ0NRTbjGa!IqD7PtfAk=fhtic$`yEB(qmAi6mJw#8J$JYR8HZM>S-GW}Bl5U%q zR7SILC0s4kIDqmp9{X?5pzb4BkB*|@8I3#igOKb(BB2U%n}nlCNXvoI&FY6Lq53Cu zp&tgiu<<6t5T6^GQ4(#T^mXc(kz@?VPdY^@i>R!1j;A_vL5lKl1|E7VM7w3A^i; zeR`;BN{j}E&E{R2pyb>pp~fAa^*b=ID6oGHw6JN?Nqq3cHE}kS1*O@Il?KY@ z=Yy4`=VAB;yHsnQeKzs7@iY+~n*W`bn~E)A}>%9DHCbBE~a|HE)ZI3>;*kWsv2b>RMA(xc0p|PJ(H4~W#{*7JkXd#mJE9WgLRKe4 z;`j=YrFh4gPi6YuH^oo?eNf2i>gG@!`wEE^#w6c8iC3mNQA3xVkeJ0aJ1*^`g&k-T z@gM(F5@`$N!Uo;1BSUG@-B0jPC9Pr~b$gWpGl?8>!A@JzJ^cz#=a~X*A_0PqKhTkR zfl@*rN_2gl7XuLmC^qzhPHIhpZ)bAg}2;DX^2X3?9a9glWeT~u%Tfg z;2>XFOxvxXDpOkj8|I+Mapc|YkK6kZce~H)ta4$gTdIhBXV#ZfepsD$R$J%kiqQk0 z$yYq$y+b+WEm*l~_SKS4)Gq9KPn_9pcY*Ego*oFv1NSh`TO_tOX){*Mg%;7ePQ+bm zt@IHzPf)|?v~|QO5AAcs^yzi_UNd(5;4>PEcn$HanQ5H5M3+hi7^M>|PcZ9#Y-XJV z6BC~IbBE_T4-9DXoJBIhpXV)~49{^bWm9dS_{$5Hj{f=VhHU%64kZiC1Z7wn8j>Vx zOi$>zf(x(5fyx;>qsHUt@xUajk3UNj&VwI45Xv-67EbKW znixhByu-CmZOMD^7@CH`MAN}IYB0&?j>TrkyLsow?jp85wh#ml3@{3a&Ed^j7&2ng zyOfE1h6*9|_K$#w7JLNS|v&+w0fO=uMiMt5UMr1D{Pqh(0Fb*>a7mODl+wg}S0K5K) zp(&|6L9SqUw1ue>nVt>iHW%aBI@PzDtVGO5oAAARB+V+xW7TBTvMaGhZajz9e3iynVmP)!&Vpx_Zi zvD4TmjqzCQ_fXQP)CkULJXv-y*R6nP#0gHO(2&DnQ`L+v#6~hHM_d4w3%odV1oV`z z`+I7|VBWN#Cg>%O8yGt}R|-ZT%(6)UOF*>0sZf)%11|~;;Rz1#1K)~TF0=SrVc&^8 zPxW!xNqP%!)^wnohNb6(hU}->i-AbV(}IpF==y#f>g(*f;7uK$(JKN}!N`^}ae}Ef z9#e8~pY6Mvft@ge1=zsxVpS*(T!xc_%#Pu6glUfYB8ldQ?S|T85^C%-Us|GRpFGw1 z*!Re`j*&*fHn;B(vnk8y{5Xgig1f^R*R57)T{ndpQ%sG#*fV5V9`a}2!#N`rr!V6O zA3SjnF037uoA9cPVIMlv?2-#ENjsq!{IAjyi zj}Q4i$HzM&w@-?>#4)z8Q`@#$R*z{-Rf5PC`b3WslnGIWjw8yxBvOC=kqd9urXvND zFpP++xWh^o)Iq=RJCs?U2>HZs7Hns(I9TwM?dgKUFDwT#m>EJ1n#*FnmXHiJ#Ua`4 zV(Joi5X!uRO`0AKmTmVv56NVA89xEQW4QBZ< z#vXcst-Hj$*9!dH(@Pgdln;9?@dC$3pK1mX@6(e?I*#MLr{yt?5@@;HBl0KZ*!P63 z02=3{_ZX`WQN~u0I1W}PrEV|2H?VEF#x0mGo#9$}0#9=37~8x!yf94# z4sM;Cre*x*fcU>B0?m-eLRIz`L}-v1Mj5`E6<4w{NZG(&_>x?~I7@SZZstti!5Sq| zK-ak*3ZWkpOczlu>rAp`e>+Japau~Pn2b(B(u^o&65p3p%1!fGG#xV`=Gm-LXk5(; zakW=2;Vw;)4M9Y`$Vj0weGKhDG1;D0b=s9h#*Im0gXAPvuHiRpt_n(1=Mxgy#wOY)H`6c`}rj-DMGu<(l7 zB#<3`AfSmIEyQKm!QK>0zAh<;Es98Un{ECgC>skRr>b(;xS0ox+4Qh2^F5bMm+9+o z|M7pnQc-g(DlZR;B>nDPuG6ZMTkD)K03409O@x?;$28O4d3I6#ZD#n2PsdEC=V=JrGi2Q{(W^?2*nFv1Ffw9@9FJNR>(0LgjE^M)B ze8r(abra?KxoOH`PiWg+QL6b7)(5m5)Tl@{F}786ptpAo;cCj046A27hQ*RzEIlp% z#us1Id5`8cIxOs=KvyeEh1@FK&mp?DteQsQH$lUOq#n{$0hNl*1NoEH^2Qyji#Z7I zEtN?5D;!A$w=5O6Yq<*Vl;%8xJLul035M3Gdn~XXAQNfZbQY;WN)?8r1pe=E*4|s| z=M4KTkGift^cde@(q6E?2j>RWSplbV)D1Qr`U!g@{luW@)6ujTc)H2&>FHV%zP8RK zxELEO@#!H3*GUFex+}H}5!qDCMU`i=PMO5&QDVaGtrrHZ35YnIO9VwsbPDF7J7dFy zu&-QUpLj^s4Yf$sVZJ!*$k^v~YI+YQIF9X)PjZL+DP5)K9)(ky%moU1Z7RN$V_&-i zcBy^UfoiwTOiBj#5efX`%&6L~MZDot+H_|1l0Fk}c&WEW^KMtbEK3RWlkba;BFYdm zrhj*?jxkmg*ZHcdO=!_fImfq}vqARKqd;lfg3N2^6W*9~CR%A{UdK9BJFbv)CQ+&t z$I3Uws(9=g#=YT4$%?L-bv~{4*vk9X9R~`^5EmmBVi| z;@=R6P&Gl<*Yv3}d9LC3e49LT0GXI*g?3+`E=Wt~Llvd3^_yB#5NpImHDP{vxx zguJbG`J01quW?F^BT%iKs%Beoft$p7-dFAQS${B@lz}T-C1(&|2sx?DB{QuwIIHKQ z5zq=tL&Pt|=6Z)qZ?xcEYr&TmX!>CzrsJ6=t_coX1V}TkRqq~Z)nD0_JVj2~8iJX1 zTP(YVRO>=Omgx7_48q_0GhVEH>9f4ZTU@u>qOAmcYIke-{_IVu0STar!04D;LdG_4 zvwtso=s`9NI>JN1yz7i7;fS1KBvNjQu+B!%VovB3^u`#}%re_Y*QVR+%n~1YHGnmB ztIwN|cUn+9vZaXv>I8!%cU0e>tl`Y;sjIMKHlTiZYUBWs1;-2_JLW(s4%!b>2Pw-C z#0}(~`M$NHrviMaO@Ah{q@D=zWu2~Y-fv4u9dS#H&XS!AoOl3NjVP0 zC&=IAf{<~E)Hfj`n4Ry;666iaI8Me*d9m{fQRZ!%5*64`YsJ8=r@DBY5raZgqnTa4 zdUMLX%WX<9lb0Kge?EML<3i9f&Vnk{xGk!GkJAsggiSMvYFmvdy7AK^@$Uy2d_djHy!8 z#!w>hw7?m+FGPZw;(Ee(U!krK*8~;XBbpYM^{SGv*IvcszOpw{Gwa&1&HN)_s@bD~ zdG64F48)Tbl-qx!;=88f7|zZNO{`=$OYeEq7V(s@Y;Wo%p(0i&jL2%cavI|rDX zpYnIL61loqkVin8MMJoAX~w(Pn( zPk4Hj1iLK=l}4nnUbPp)ecF)n4ZnUch;uv2-13Ac0wK-~+3FJZg%~LE!ln6otH? zEteS)&+66?h}(*BKQ!tdl}D~SmbE8kVWHEhnzE#5-YCb`o2=L~qlzx+NJ#}kJ1_Vw zZ-mNa?Cq{LS!M0BLkdlyeRo{j?qF?B`H@+IE(&^+f`9G%e?yhIxpQ1nf{=o+W4jX!*jOQ-+EZXs*S(-M!nFo!m^QIe2mDl$4$Qj*-D3<5?Sn!S zL=dAf;l(4bn8bcS!P$rbFq4KX8xCNG2uMR#xmI8Y)&Ay=f_vfg zX|D_QLXhPu&x^;@M~a@nuz|NQIiJ&Rm*)eQ69Q!q2{XbWHa*0aH%s|(BBsqjM52~O zXc3o_iLL9?YBFts7TZ3~9aI%Ggf~tb)EwwvDrn_P^I{{R-#lGk(-(QlG#pRMAsXH1 zdq!cE)3hIYV$bH(2`5}XrgV4F4{9W+Sc5&}e4)hsIthnmXZIq~_a8@9#?Z*Tec9zk z)U(99&JuT!i&$}E;Bjz2$$K&#a?h20CedHD&gZ2Xxh~yW{=ykxKRIhik&#M2qRUf4-+biqP)?SrRgA_Dd8Y3O_3dD_mOXf z!DJJWltj}#Po=yi`z42xVo>xJgQD5#H(`)BTQghkpA5pJXPfcg{@{x*XzMiXpzx@G zH}Hq)h&V3TwZvc&{rx%5ca15g9jz?6u7o<|n8qU?Ws9eC43&MgV#F&Q4XAnBzGOn> z%koa`W&Iu9S-oe1^KpgIZ3r9bhR9uLiTQplIj_Ar9X&H=WR|6*Kd((%8M#ib@F^8f zRY#yO^H8-W6U$58;M42Yyja@nyut!Kj}D(;9f}{pm*(>+EAzFrO^G7LEc8s^^rMzr zq$&9yLf(r@c?eE!KK5;J&917wC1P#jR8@wL;%c$!Bo>BZNnrD8FX8ZXtjd{{{wY@$ zn6FCHMW&;_MW2#bWr*4rA8D?hH3&zc zY&~ahl-EpvEyISGPl~AjjMQfQwVuG}Ju2A4Oisd@w>2chk(&(B;TyIb2@Jg>k%MHs zIh)6x&Ld4hPK-={99Z$R5;WqA;bO@ztNl{tB+>n>S0_uuU#z;?lz%^Z{cm8hnakI2 z@!#LHRFSZ-va7VLuFhcOO?J6;_z zt(tj1kJvq{Xx=^EpHp}HuwIRjpj@%%Ex5d+l?LvwMg&i*vJL3u_J{L^0&9~?uIPQX z>elNbKWoIElRhhat?Qu*CeqHo=hRB-p(9CNT8%|ipz$-`k`AT@NRXb>G5CWyp(}s& zlSOnfpjb6eXpQ{SIW|@qIrV>i|MOhGgh3cZ1H@VWOlZi9!<25>Tv~smeQ=s!2(}!m8R}1~o>B%=Xg#FvA z8-iKigSdB=iP3kQjO#UB)Gk{LY%9&OVkKE|y@~VHGTm$$A#z4{bi#=Yr6+60rHKO* z2kj3IL-Z!aKErH^^_32wAaBOEP~qgJ(iaXDgElWL^arP+sCNzT%6)z@sh&L}78;xG zgi~r$2>Q;vtQ$`Ji4>=cn%ALh&t zh*V;YH@r)1A}Oa9;v!DA9-WIY1FpmnPa+gUtH1xY=NX|?j!*h&N6a=D2429h-#+-q zvy}UcTw_miqhZk!sEW`1^pwYcp%VnYF$o)TtnmteNO(nYY^jRT3E6e9&b)|FNRwcr z$pZqbL4$$L(wI#uCbQ!+%)n*rwjIYtIMl>n$F~hu)b~(?)+6q(xc@PVo_QK0J2s+m zkd8HZeqm%Xk#U!DT?=-CE#O}e*ggY*50FRUX=L?}ScE=Qs4d(B2`g0!V+5!fD~urn z$ym`*JrxwTtCQjK@FsI?2h0&&L05GZQzNN*bvlUXgr)<}_8p=`ja37ye^>No8TTYh zm>aV}=m23DB!NNi|2$I_Rc{liH_YQ>4u%FU6&dg*48u4f5Yck$M<8L*E&QEJAZdHt3S#s4Mm%f*zdn6NaH z;QIN*H%yBy#Y>_Ueq{y;7R4B*4KbH@LIHGI5za|>7rhV(42-Y`+v6oR6thl{XkmBp zhM*r?D71Ye(uKiEo%Qp%mWNvu?MEjW5E*U2KR>()U-MQAMmZexaqDqcnh2%|8ct= zr^<$uUQOD+$_zciP@akfKuzbqo-Yh$AlyvKN8+pCP+WESYqO~PtvDSMhmCh(q0;K?CFM6%(hC1e+N8m~AVE)%8Q!*V=y3gw>qhA z*h=P-tC=)+U-5QF?yj)UqRxu9whgSs)wE6}nJdMll^4a1Zq zwiN@QQ1E%zuzsLeNe~pU;aRRa_QgsWj!y*@bi#-HSfU$Exm{41ia@JQA$>&FYPOnG zRheos(5c;_dWN0WHYc)_)fiLsXNAs<8i4{$faX_8BFp@QC0u~T>aL{Y z{Q;ve1iy^f#!29*TO#E<3#nFjuqjy7QkjQJSnnzUziR}%j&*#E)rfJd2#kkGlu}$~ z2Xpm|iCg}H20%@m`5#U%0`u762b?f`gk3S>>HvwXpo05J5K)PX7O9K;@7yfIer#|t#^fZ(7uIv-n2T0SwI7|J?Mz!;?kS{=#y zqKuH))G(3U(D8^>x$x2L(COL2mqOqBz_TY~X2)Vl6Vr`7#w;!DX^#a~Hii}JFv>e) zcuMG_oI`F$@dtS}munW{F8T2Xo;u7$g)Y3LR*;~y9is;!X2$EOCUH;I!+LICf1dz# zUg*2As6-1NqYI=DP*TaWfMq4K%VojMcg;f zO9D3tt#}cE6^>>Fx<;f^a86F11C#(LR-VIvSZ@)HqKDZb?Sv&GYXftI9k!zolLx6l zo0?@-;JAG!VsN)emjs)QU>3wNT6fuc*wbXu084P?@XPM?C-OY(*bKH@*pz$Q(cG0)g87v=&=DZ4h}}=XNg_;GfJ1yAE}s zPP6o}VJbdwFi0I#$>~G0AVj4`0NUwxm;b|6v=Lo zH%-NaNSNs$L2;0>;!t;6XuBv*)9SFQ2`|hj+?WU!{=!8^`nmRm-I!}A$91v9iWc(X zne5ouX^3sRKmp5-Rc8bz+KW)5UxH70xn=3V#>%q71-2n8aW%UYvKqEA+v25gqx!;_ z>VQ*^sqq6v*mL_G4=Odml%T4xEF%<2Y2lA7aY9OSfHmm3N=zQB=Ji|7Kes2266%=6ASKk}ZjL<`Rwr6A-80*n_shMZ&@NI5rQNV4O}V)s2QyOb># z^W+7DrrtA9FG{c+RiqMjg-CCXph{T8b> z@Lb317p*s2Htc0A=@!zOyN4e~PAFRv#M*TOB~8*edx;5Tpd2p&F$*!5t?Q|E8|Y1g z%!(jNK9L+?;V_Z}Os1Pr&Nx#$CfxBNaQfqgf8=hCKL5k-X}z_7tfb%F_%ppPmK8lg z)-_|tsUpO&%2x>uyK6sENocE*fqIzGd{dYOL-E9M{$q{-2@oNU>MC!k#R#lm;#@7< z(0h)~K`H*oT!r;ZD#)seN;0A1s2rG3As9e5CqsYFj{SPcUvh$=_noLVovyCaVx}d{ ztd~?S%8D0|q5l5*lLK2l9|bnMk$`yJ`z&3Y7oLuc!n^DH?@#LM+?Wt6XrQm(9LBPs zksgYdYdnOST(L1@`@>HTxDq_DdDNAoKn?43O_O0IwiTAG>Od(bEfZqW%dvfVi?rR7 zCXl&81!lY@cb=ig!i_{|E(OnkIDSktFW{uNNV~}=kRC5*R?3p!Vqx;3dmeCb=9sPM z^EuRgz}EK$vj=B)Pm)bY5X2kdSdQcLoj&locQ?bBzRGN|+9gZ{%Bn=f&3%Pa36VE1 zUBYPx%zbd7=RYv}_R~p4jOtJjMzaXY)#wYwUR{kq>+jcG?fJ7T@^ZHotp2wh)H(Vj zB3|l45WOe9p?1M$KtAl8Lb=MmPoK>7h_3SqBaxX4v?q2(JN~8Ed_p6!CyhWocxMn2 zAqAVN+n5a1dt+TkgCu`yzr|rn9wPa4kgqnp@tDPG3SCd}JGh0)eRX;j_~%A;J&hv% zHdl64n?bO!hcdGS%|L8ovUCD#+m*NYBguEw7PU{eFzBzw=V;=Lz*<#%CC4%5n& zz7&hpOPv?O2G1I%lo|@f79nI|mtn&W9YqU=N4{>WY+LM$j8{Goc_~bK3G72&WD8D$ z%lD6lp`KHk0SbjMs`yL5hFu5Nw(j5Vgsq;)A*C+s@ID=f98F{agD@f;8@w~07{@H- zTqc%tdHas7&?neJ%Pd9tlIp^JYr^6#gi`R@dblTOIf;o$%90- zth?0<^Je3xLe1k)TA<=pX_waZ*xPHg9lobZX*Z&M4XqbTU}v_u-0$hKE@ul?mLIV< zUvUZq^Fi_TSoTGkU&9rCMFAxX$Gk_w8eFJp4;5GrErAf8k^9P%d50hF zDKE4ieBKQ}Y9|?#arSn_Jp}+WOI^YC`6wa2A?DqhL1V1x@oVBiIwg zc|#Zi!Z22x3Q8m$CLJWEs3h6JK%TMlIkv9oP@E)35VowA+|$pPzE9C%9-4GVip|sR zUac7-h zOJ~S=UaLseYHYS;V5P@GDrJifs=TW?Kv&YX1iU(#C2PiXF3}|>Y$3!HZ%i*~h1DQ|ayP4nN<|v&t}Ij}rODy7+_dGQlahYzM?D3yk&mFCF;%tXXX#sF8Kc zi{Rc+q0_tE7fa%%Xg!as(Ca+H~xlRUGr3`Q2~jhw7)lRd)QW zsO1iS!#fFfvoZT{bnHuAx!LA*H%let8In)Q>)Yc2ND7Sgl5hUsYP%?x8`Ho?D;_W`Ul&3$igH|8XAaHA>ljL3t`iS0R`aSsVj>U zkE~bNj zy{T3&lIW>hLEtt8b4T$xrcbc7sZV=o3_HcO(7Y2}|6UJC|L)uyf9D5R-<7pX#|`I< zScjnWuXtJYysS>pT1-bh+0%(2n0aP6L!I+S@@G1t^U#6%;rZOSC;l8xU#m)0sXQEPO_2>L4592In9*cQXY#^xDL z;BN<3#@C?f;siL7+B0mhGi5G^G486O2_1DbcHM1SsI4=gbk8sMrGiMRh()S^O zL)6HL6NcMY+cQ^NgPn&?tMW=(nw|zV30yWdb-)<Tf#MX-W4x)>6UtK@f&>r;BLdJm18M9OHsf zP|MTTv+3&z^JCQHQ8zkkc(;XDp>^OC!~aAZ8fuNgdv&5cg=*jh|1WRv(j&{Vr3syT z>(RGef(Zj82FQ`C>h7(o6Xoy67BB`eV8Q_P2#*Ml2+#0vkK>Pw9obT=RUkEDQZVQN zOi-x`&;<&Cs#OCh2C(}MkYGmtfu@o80SJL;1nXPN%-!50B6sFKr_jA8cV>jyvSsgO zW@~+47W&pd{%v5>!`EEBcgq_$;F7M+g?2ughxoN=%RNUr!}Xr0?73~WgE&ZT@bm{j zm9n_t!TAF&F|fgWq}h8etEN|H{d(x(^mt%0ZR}>CY?!%GX(q!ki2yS0#VaxjeTTuS zwmIPDudm7)U5>OMFNxv^=KG3mGq@e+7X(SjZ-ClAz>SzJBdmE(c-_vs!!&E$nWO-h z%NhKz)$AuGFk+I( zq^RH=%-+FvzUKXQ^un5{1Ek(n0_T(tbj7``_h-DEAoBR7?7*~D?D3L(Gz10SOb}n1 zM=p*vH8wsWz7nPoyDHa+f20+D1Ax1t_pYjc8Vb9!irt8*B7U1?)p-1Zq=#xGJHxl@1W;3z544`9$r)>Ii&1CWWLB=G1 z`pF+2=BVl3sUI{*2-Fd^`lB ztr3k;H!u&xDF=TSY?T1Ubyo2MN2t=$aN2yxD2L`?h%kql$qwMYU>ZQ2GBAhtN9W{x z?;tv#sUiwiCQmTG<+G zb#PhVa!SBRHuV3_-gljqlUZMjClVeGI7RnT>>2V94}AiaO@`FAy8y7j+3X$_2qPC4 z=Cmm)N!xZfofsP(6rEKEbVgcf$cvjrFhpwmSMQSQ>9nBplJm#KT~5sZgIY6PEJLEnqRz2;0Ie*(v91 zb<700UvhFs9>Jn8gDY`3ORhb;*u~Sy70wBnL`h7OZkDvi=%_iWq3OHx(2k1uq3b6I z|1^`++Pc2l?C5o+l&++7GcqFS{9>l$TMQb?*u-*`&EXgRYAV9dCy`Pb4WFya0r5`Sx_M$>6kqT35xERftq$xd|Ek z@jP8s6x(iIIQ1CS9(OSFq#MAd^t4)WA4tvEb0Ui^+94NW%Z>D|>M(K4_UPCaTd_SE zIIL^VQMV-0m&WqQ)Iql{k}+*9_3Nl@zyrn)T4|OD_X~@A@t# zp^;`eSPm*O#P__A2Z5PZjXyo1yeOrL)7&%C%)4Hv4E!Wasfm^vGu=`m4WxOvLE>IVRVGu!OAE7n31%o z+lCSAafT>?X@m%OSSJ<;copF>ZS0PUG5md70El#KA(k5-p~KJE$KX;0iba%IWDET0-y~>5rC@2U-5`4{Y?Pi_WOB4{@b6w`O&THT7+nWYX>mj9vS~p24d@Z z@O=`1cZ1F!zK_5ldAZ>i+7$nf5CxzlW0m;Yd5TNPQ$o!Fd+~SA5=>uOq z0&*UZJotfn;+h`40{vh*eH1zQ3+=3VNh6R&(V_~ETRK3|DRF$>q7Oi)YI9#2pO);d zYJ8x<5R8wEr&jaherS($ikrQXDd?{N80#^5G67jmX8n^t`?gnOJZyUyDM5fJ1R16L zZkmu8Lj#u|D^X{DsBmP`~;N;~6 ztB=o*K3VAEM=ZaiA%H=KId0Hi80 z9-N?salq$QK;)fB1saVLF*NuA5IY)^spnKfxi9Svu9wOhMS9|&N>&N|$P}|Qe#qxO zW*KfJ5gEItOg(Tn+M<3zW?_ELkRX8XH#&oMoM(82)*KlJYIsQ#f?5^-S*eQb!TA|1 z5s;K+Lb)9=hmz;RKZLudrWPvJNaAL~0v zALsjmL)6ZPhMN7e0Q-z+I|7IkP4Z2&9Ry&Ng}rMoz+nQ|&Ln=n;qd!%yH{KD48skO ziH7R&gdjBoiDOn z*qW9IM0wnEaX6vT3YpQs8nr3$jaFbrFmP&7FQJ|PX!I8cc#*IXEB7v*-*5`Ez$cEl zhs_2iWS{dc?^CgRXnUmbVeu+qJ^=0BJZ2*sa$T?#+eJ2?K@Z9Cc z(urwNuDKf2B^z9H0@4)Mb3Y74y`h0{cyTxkj^-jQ_29Fk)!=MjRNw738ydH}#=7`! zu>QeG(-oa!Pc(Td>g{#Y!e_JFz>jE)#FQ>e^CyIyNWyi4p-*PxhUxZH8b4Vdoh(=d zNCGdAuH5oH;^rXoXf@PngOnDfED~`7!qNlRhtnA{(;$C_qmv|5FGP%CB1xkuWemJg z5TGC>Uvl#lRU$oI_J4*Ai5=ttWC8pr1@Sq$I%>>7zAUeXHN(7GYy@taEzQJY19pZT zx2xKRo4%*+!HoK4XMbo8)koTUl312%dkao;+_u6IvK%u}-@&4@4`qLXSJXwar9Pas znv*@o!+&(Z0oQC1tFT45E7pe=0rgd}>p7TsROA8zK7I_!NvF+GX%q5Nk89+0bH%%@ z(tmD-)XlmQAGU)4AAhvqdKl~2PqM$jbV(gnD;*XB*v_hR8)#IJLM3DGROSev{}BM$ z!Qo}z7RvdwEly{KS^n_D=?S_2mi91`+f~_WG?-Cyq6LaO&6;jY)SE!$6kx9}v8DG# zBVnuXa^4U0_bIP(35Pd6P_P>E6R^r4DT52t4+9*SOIfZ}F~PSNBXlPZyUC+SrvhZ+YD!;gz+}g|Mq&wjZyHh4C8uI3Q5O8HbX~e zT#kQ{D(KKs2JssI(id2Nl|_857JvC0?}JU+!4VD65CDoJTZ*i`9HSM_tDpSjQ|PTS z;GVojniu)UB<-T%7=Ta;1yqr^?FXDW+X*C8+bY`*iZ;Eqi(Cp;f1W@ z7SB;|<^LX|THc|iTnS!XqZ_iexz<6nN<$CFCDOJ$GoD?S-)jnQ!jDRCc;oJBV&n*| zI%inIBQ0EqlFo{`!6K+t@=OLkvfcL$bFy-f_Dy2f0I5nWW$r&Q1ciqH;3pSe{C|{qm>f@%ZI09`G_|4$pz^knegj${554IH6{+p=1IKm zI8UJSNTkfOTqFR0jf3t!0{9wKYtfV?)LGco5e=x5lOawf7Z8BrDS6D``0x+-%sD*4 zvs{D0jP*jUAVdg1=ZZL2V&w8+XdiYGG$7QOcEN^Rb*LQ?GLUh zC-MNB$XQ~}lJP{*x&iR|41{?@wJ5|{I-Rn3?wCiyqRvGN)Fdf|TN#(Ok|mKW-k2rh zcfd=2EQAp4L!iouBiz_!MkarzTR;u4IW*Oas0J4KG)aBUNhet-Q8fTZ;o50TDWe5A zj|UT;^Q4j|H1Y^T3)R0vpZaPDcrIez9t)%&qSU$VUC9TN zY{ULEg0S^ep1%C5E?&k?4I&z&RHBh58S@C77tPw5w#O}U#Zpojcwwe;d6Fv~bKQ;v z;1|1K8I&BpN~XvGh>4yI2Y~WZ zQGt=go3gmeDG^FRJ{@v=l`D{3{+J6xD*+k6M_NI;sVG12d|i~xK7X9x5;tnB32NYl zZi0eBBhNU)JqZal$3y&)U#1h4LnfXd=^U|Gp+Ep6n@-QW&<}xP78yCvt5>*ca($(- z>o5QHm;Vag8mN{_JV4#XMz&OE<9Q@a0EnZ?D2*(CSSpE;Ez{ZL(fk0|#%FLM1Tw@u zpNCyKWua4~02t{>G0t+eFa)lL*meaL#aX;Di!p-Qvfh08^Jzf|;xP17zQp=x$xQ1G zO#>%S6$TBb9(6^*OTPX?E*_~P_C?9$E>|)m?GN_4YVD8CWwVn@Dn24{sOuOO|E7;D zk~p+>etphgaMSa_9*z*)?CCIEKH;#|R98y60a!B~>WVFpUHkWZ%2f3Spz58-jOb7X zod)ifq40KYenE1|NDOjkhATY z`@~*C^KeL<&-}X}i6ztf1lPR}aJ-TnCopt#LLZMH%E<_fKT~^AGF=Ts00GRgTMN+aO%P@Z#m;j4@$0W0#&T~yA$PH8+ zE%=3wfZRIr$dmzO2)AI=~UfznU09a|{*W#uC3}JZzSD!RDwl^)L`JqO?_k z4jC`H1;8p3C*UvnL4jr#X@OZKgMqpekOztqR~-odv+rN3@(-L}I-Z zv{&%`do=)Swi?KyMQGiknh2pktq0r@Ci8FLWe;FiK=dB2pn;~};5^YB`6(zRwK#Do z=@pqlRn~Yp^BAhpNRX*R%ZYJEJ&y64l_%Fwr-IpZ7z#7H5x~%2Z7aB=W`#5BP}DRc z;W3HtJbw5@iYSx@Yn!!w9@;HnfcZhiVTew^vxoptj@rsCmW~pBq#A^uY3TbWI<^S< zZ(eOn1u7bf4zVhOPA4S;!Xb_rIiq=>GRH=DDsdPJC1`f)R2p;FmLcpp0n49%&;Fp@ z75DQ23*aDDL;`rC;}I9)xcQ(HTFM}#X6e!aJ?%djRKDl9^HGgM7_jBo@dX$#B_{hK z5e5t+xN(&0^1GT2)97Cwk!J6u<5EP&F6@$5q`;(~=45L9(YHiUNmx#jaU{y*J0E5e ziXxk@?}Rbj_slq|OlMpM=CBcxAg(F!W-(MME+>H-SxyJiZG*rZ4wRAiKomok@H~Vn z(3#jBfx$4(WC1Gm*mCjg4^5B2+Q{eVi7~T^%}LZgxlR)KS!9G! zC1ZwV1W*tQP)wLaiElTi-u;%lKwVfmuo`2adyY9$onrz7 zr4!DEc1nprlSfK~qG$5dH{P0sWB1-h{!pC~)-X(baY~pj+q{RZ&cQsFk0>>h`uT|) z&*G@O^kK70lY~JWxw9xLKYF!_IyBFB64wo~SuE8!f^RT(tNHkVm$y3$ry9rb9M}0` zD;V9-_feP;N;Qq)yNJiS#DIF8EOP7r{cGQS2VkFC@pm}-4^Tz@6$M!FvhbW&OtF2{ z)aL+Vq;%pd|4||CS0tzghNv*M7GM~j2QRXNd`Jd7#KtR(60D1_iub=se4xa`-C@Vi zMYNs$!@vC>GoUAj(De4PE&9y?(NwZw$px%^;-_>ofYOjl+rSE;>5-!-eCTl7irRog z74*|iN>~>MAdET6#Ml(rQJm#Xx|YmvhZcMXB8M3#eo5ocz5p8&0I_I_J-?=G8Jx3* z8ygwg-66lsV=xVwv67k4`hU7A9a$vnNJ>4~yMhjo^*SF;j+i-Bc?Q(a?*hs5tp1wE zYZ@icgk8a58yFhE&jkU%bNSq~W?&41&35(?{HOB}PD2uq&3uxS(H4pO!0pH@!XA&? zq9tqf3E>wV-1T|??8*~cU9@6IAju!rkVPp@v+K1}ofsaj))h_b~gBQZa{$9CbGz zNMlr%dcg{nG+${6#}2s90qz0D1Rb1Ivnf`Hd&7Pdn$CriiMN7V8T?9Useo%3Nz8Aj z(#_Z$y{V(QMEaNeCUR8V7yJyV$7wEgWKo~5%xzl2hH+rboPmOO)28DC+d^NOpO~jU zVx=514q8xel4$sMtczQJtqDV4S~Y zp;bQB^Oj~vM4)*v;6E*c)aQE}5xUg8Ps~FK)ZQLXoCu~`tPaaj!dFrA0zBzToDH_L{o+_iuj6YvHtMj)VGU&d8PR zydYXEsG$Gxx4-)i+7sA12gk4gyda8p(@L0g>ZEP$8jzJ!x2ZbQrZkgxe|uCxEZKDEnK%s8g~ zB>>Rg0xEu6oQEECWbjDA!>C>EY4~WusHy~`wq*b(BfJhvX#6`)klC3Z+Agjuu?_;} zIC1SDWI!AzbS=Cyb%3?WOTcY99I6ON(2S;cMjM(teiXzW9aSQva;?P$QW!fKpfqVJ zxON=G4$p|+f%mlS0=>xxZjiOk!OR-a310LgJ>wv-;m?z(Lc+|B(##2%+LenDAX-3i z(%A~=M#$*eQ4-q;-cf;Wfs7s%9^-m|Y(hGKQm!w5%m7n>s^u&`?au(9j-)Aq(6!-2 z?Wd9jPt7MXgc}^Gu}V;tQad8Se&q58v6K@>d{~5n8#+z^3fSlGfi`Q05h;h01)!4w zgzDL;&u4tR0gze;>MJZZfv6GNA@xxJj47p86x*50F4eBJZ^|!!%r32g6cE`dwUOsW z`~mQnL+W98iZMPEYEBAG=@UB)sfjUD0N7$tMBDjG3%b%^;vC3E9Q%`VLI_Pt<-BOonz|gEkcmDEcEqpam9=mFJ(zbye zWWJpw5r2?kv}7P1bTX+(nGaw7Y?j_7JwhP+sy=r~%P>;u^NP-QIUZN_*EH~{=5T1& zV}ul?+Go_R`36wh{0;SL;wCn>MOXSPO-VICWPNYPR({G~_+@)cO^Q<=C&1?u#Y5Tw z(h!0@BnQUrm^cn;3}Mcw@!?TtWlFTrje&Yk7Og3lZ`1kG4pXU2pz2EFn^}W#t%r$0 zwpF7ihMCn3ZNOrWS!qB5ziXM*%#%f-9sAK(MJhe;;k@rICZXWr8f`%q8jX2xY~;+P ziO4uj7VR?IFMki7;bVG_REfAGSIx`Jvw?me@(R&5v=W_+^daqiL6&lA8eBBYJPa6+ zGV-HCc`nRqxIs+QJmC*$B>PmW$j1dBh9a4bxGSnVQ=K3QsDC^zAORdP&F?H!>WF80 zgljl~tdH!3hIgVr2x2M{#GUh%{ALxW12M?Sjoku%E?>#wS^o@h(*S*gz`0?UZ{WxJ zink0M6*>H&VfKbndq83_iav$G%EO?bX6wO6!5B}2;v)0G`jxKYfPHDmPy$o|&f9Hi zrts2LNLzw<(Xcy2)0yA<@hYRGJGDUGbIk$HNVd-8Z7GS86%ZjJ3zQ|eeW=QAE+t(> zZsy=omkKHK{eGrI;I3jsoZxxu*z^s*LeQ6Hl6aM-fcDxTSjH~4prYuE_MjxB1s2)J zVn+%%PZyiqp;JG2z9dPuiWB&~N_7v-4o={U+JycJT;ZOJi}=zmsxN<*&r6Dc)DIv5 z3+VM7BW+6mn1y+tTz?fLbn+LjIDKc{4KKrSOygy%AY|S)?Tg+e7QfOlYEZCzOS%ZtRCJru1lMI&hTvl?++j#Ng@Z*gC$M%6F}Q^=GdJ zjq@u2NIWf9~{$k2fS+mH~ z1;<9#c)AGXW(@9U_F+_o%gpJ#isEZ=H-7@i&uE$7TQr-5nJY}}NpUwZ@@Ce^aHSIl zk1HJm6P5EOX5MI?+E+dm9lME1Rv_&dSv^775kAMSb`cS1OgXAPpQMMvtn*Dj9wFX&AqC1VQZ*mnx1n67OV zH{fuPP>qM$4{)|7QwVGOR<4G~E+XTowm(`&#^dS`GUAxOpJ{>~czXFZUrkM=*c`8b zM#0$~AY<%!$Bx}r1=Erg9sk8v0rxP^mP@)DF=WTGi{u4Zm-aKicD$~Acc5bk>CXSY zT9TH5nI&BY-?t=qD4KIB%n2%i{Rr6k+cAFKx5f2p3eXN=?yXfO`Fy6pxkZSkS? zFa4bTM=*@Vi$qUF*>QW^=CqdQ2y5-Oc!u~X>RDp$GW%b!y#U8w;BHoo?nGyKAV)1C zw?oZY?}l_G~Z*S_b8sPZs_b3In}kcE6TG>>+6^|FAVsINoo1cltbI! zl6oUt0q3IVmoYFL0Z5r<>G5<(mgL@`QrF4RE~LGYJkz|?aAfT6sw3h`PH2LiGcETL09pdNoeBU0w~x=Y0E8z@@Bc{)$}a1o-&K z+=w6SZYUo)&jCRkj$G#h-k@wcq%>QoM(e`DEiPhj7wd!r;FtgCAO7wC0D*2@z8?@D zP|*TdZ<`AM_&-pORX473?9o;snl87m`EaO;ff8Ty(UWlWf5S#c=Q5@@=kKw(n`cqcxAyIpnO%>RxL-7k!gZ*NF6>v670R0E_GZ9M!gwYZoa)C zJ~W%e{S7TI$MdhZd^{UK5iROnhd@v!CpzU@qaU`-0YQa7 z;D%lCrOXDSZ!>y2FSrtQct-S3O;!r+Zg`}l+$ZMOE7$maf=ijTctVXq$JhMyGNC3?jy;bXNZQhZ2{nt@)@sW*aLC|HJ%5)nL;4e z%S?9gs_ek*zT`)AADvkqcHeydC*LqV-%!eb_cJo?XrFgByULc}{zX`{LJoreSg}1Z zCmb!!$MV#44jftFd{MlV&Tj3n6~*xOZ4JjU9q8QQ(xTvlUVp7X0((6bCudvf6z~&M zq13dh7vQPx47iJ`DAy8)hby#-kDl1Yy8~4l4rA+$_>$QlKyRQf8a_I8KJ-_B?9#@A zO{*z74q4j*HaTC@7=X(dNh&MUiX$*k49+Vwm}!fnV)k4l7AipAGm*6B&dIB008)a2 zc6cgwyB0n+72+Og?rd!`pIQWy0&e!UG0t=j!{ct=F#*|{?BZuYqa?R2-5#hQxB>&* zmI~-{+D+mA1LoZSVvKF)uG9hU8nATUkML>^gg1!x;bQ{`PdYF(WmkyRW-+aM7%5x; z+SJpr{tRRrmpL7lC7%cVH&GqGEmVIj1@H zyC)24+#Y0!BX`6*_ROWiMjkn(xyOwd_;j2i#mE9`IUKfi==^qQtm|(*zP+r9d^^Ic zw0G_>13HBI48z23hCR@qh3cL|s5l^s>;+h(h0+H;5oAWS3_gB_g`+(qye!IMb#LXf z=tns{z8>?Y8!;iwMhGTVTll-YI080OGD(XbNfTfikkkUR0qBgjLO|mQmdjHB$WX!i zBmR>tF?pyTHiS(35g&@Yzf)T;_S7AjNJ}5;$I>FF;ebxW$M4I{ys}AzE4yqGHr;aC zZGP@qjs#1(@q=<^b>+U0t1l%mc%+^LlmbLcA>DLCz37WH#AClJacL}#)~@1oMr_@_ zEni+L_@3$kle}xdgq|VxaT|(~zDWxwClz$hiWC&iO!*M};Yn)@!Ef<xe)AWEdKvANL>I_g<#?Na|s~ zM<*;AISiG&l;s5@_r?it&LvnBWP-wz_bn4EjYvbe-nafW+AhV^aW2l*sU!l5Y3$@T zO=AbZPtez?a41fpew{PjsZ@Put#Ppk#yEjlW2Z=v#?i4G-liPK9xyQ!85Xr8;U2ys zI{Q5gd_VAr?8KUr>Eu00!t*09&0p)E z`<6%(?K&Tf^Rg)`aqbTksZEq*$vnzLhkpcjxmx@LWCehuEE&jg*umE*3c=kJF4IodCp8+FHVh66CDQ< z+{T)y@#{os5_(3gi4Ft_9)xp5Dt;u1Qbe3AqdUh%$~inO>g9 z@o^_^BoyMFBnVK$@HYMK$3D=auY(&>$=0)iBNLdYuzfL(A{^0F*;6iYW~M;Pdy2I*&9vT9!)Ih)z)Zl95h zv2F|6Un(OZjYL8WZzy{Wx8yOqI@R44#wPr_6ix}P8o!ua5ht%pN`p~5ekQ;P9CY%u zijKJ!WhAlAvM(AwS>YxHU?XFW1A<}JP0s;{N;5%V%wkL3rEi+gWBPii=?Jsst3RV6 zocyWD@s{$r17sJS#MTn~ux2M^anjbUCNPSbQVg^{C9BwfTh+ zwxzVE@|fHBF*aJH3tA8DXWpLW8af3WnR&Y-jQ!4hxK5N!C ze5F+Z#Xz?A31s*8M&IU&+hQCli|tkAxWLwt_r=AyL*VVP22f>pw{y+L&#bE4lz1GV zvpy|<$MWIeo~y*mh&<5K0a<0*Qk`jW+oP~$Nxt&*qD&Var1xj(yed3YxtnzI*|^}u zflhqN2i}3JD+i$8%!2u(0Xxkp-xSw7!*h|6G4>ES{!$hIvn$Rx&r@F;V`#27eEo4B zQ{;L!8td_Va;=&3d?%Phxe1+j z_|C%$W}*W3ZZNwt#BrhblDCFRp(}F0-Kpg8O$mLxjBWSivi-h70sI&kGzplRh9I0= z?=%o2KhuHnuC&l2E1snxJl&M$d$$%V9idVw$oz`NE?AflF-d3Rf^~Egj~&ZESU!`Q z-Zi}yJLDrR0~hib{E9DMMIHlRhKBDQn70@WT2p<}X>tcx7dmMJ+KY~`AwX|obmMl` zkb}pCCG)2zos6N55M&V%#$?^Hhy-VnnT&K1h_2{i;|G=U{3u~bOlfUO@}t|f?-c=T zcwd?yCjh}<3?>YFZyfi02zC7jgH`Te{YPWX1yC05Ek$TB7n0iT-N7F& zkg)@1Hw1qQBzX7Uzafbq4Wpkz5_-Y~#lUk@ky*%ZJ7DOn;d;#BuTsaq`UDog1M|}K zy#vD4S)c^E1-Rh_Vczhq9 zLtU9fG`-U~4RfaR-K?>h!U73_svj)bU^&kXo$^HuaL)a7&^XtfSZq!ugF(_((^!oeFwSl+Len9=D-VGH{|aN`g84 z@;D@J?^Z736;Ko>Ni@63iN-d$B~w;gc0wy=w7?CSM(%wgYlV&C)2e3uTYp_+<4>+X zGEGKTThl|xBHPL(@K zwEwEW9{@E`w7iD0s|3?oIpPxaVLeoD6-3r-DN^J`BVpGV2T|7f1(9NKQ)Q=gK&wKO z_a>bfIgoW~x~j21kWKngOq)@V&w}hfP%J(5E3L-6|LZmUs zYPPIw@OB+XuQ066OI1gQtv3mstIF%C_|nW|&NU6+t|?7At*NIpJvaT`&i<;@mZte$ zLJ67C;(J_csK+O-z75D1d4QQEb)>3fsT@kn!itE_S1_b3-za$=|7O^ z&cC@*9VrHTE$>xzvF2lmGt|{HZhAZbaeE)(J=T|G4iEfokLxp_ppp^VfvCMC zJD)-y_#8j?$Z5UX_QSd{5V2|83 zjyhg~HlmcoWLf7Usw5L{H+-*3`N_zpKH8R5iAP9v;$+8E#2S@_y>0VdZy_S8rmUxR zljAlA;p}h~5Re;O_s-L+r!Z!ZtPyFwA2^402N34Z@&s2E#N>ewe&5tD;DQ_F`zh~y z>w<&1<>nA^ay#Ip!O>!KwJt@6YoTRcN-8D#30ZkXT{MOScP0TZkoy6!*KICpQYx)N z;#5W7a?8LAtj)KD^^d79;L<0pJ^rSM)A9>VN&aU1O?@L5tedvEZ23508Mndi3Lp+i z@DV+KEGrOI2CLNmkj6BqKSqW%R0n{9YMUikRmSv z^Ll|r4It)xH+{FtlwXhzxq4o-l)7u0zT3cCHC-{O9Oc=S{Y%^MC$9Y=B5l>Rw+P9W zG7kBrKQt}bKdX$=Cm(qQq2neP=uKtzG|)kZaMTUI%jsp znQ!B1QOkjQNGle|G=$7eqPtvSno|LAegd{9(m)Z;S+qdW%4xHaekf>xz*E2$%p4*_ znDA0f3CA&AK0uk$iM0-K`GW3G`wc)nx-*ELPW+bBu^f9%6Do(_g3!y2OnV&olrzN>$ago7`pswsIr! za0bDl%hAP3isji%3y5GJJOm;@OCE)Ee%n*wl<_Dg~&6i1-Ho- z(RGTwb!rve+)M??z{^v$Mh@)IS)VR;-suqtRlIu=LU^7TV=%-1G)XA2nT!ZBG7Qss zm11sShJKnfVIF%CL+j{12j|P)KH`T`M@Dlv(nyLJ4xAoan1hid8fH^eJ+I)IuVj+J-iA55$L3nVg=?@Ypj}9<&VL@{Lh5wlD3aUu)mgpbMR~?=OB!UC)7K z@0XoT7L~kSHH#0_pW9|w&%W0moXXF|R{tfZw0fZb(JD@@O&e<4I4_5S{=Vivl-NsQ zYXSBSZ#ZP_*npP5@Eh;JIV0g`D*B2fFNd6dKCv6rV9!62;|B*M?&%|^8@dt?01PAE zGL8)t*gqj`=JORafpvboIz?5!0MQ8Wk}%|63P20dqQpVoYqHI9)}8j~YcAl6T`>TO zDFA{IC*OszVyNYAqXmXvX!v;v(b0FyPLRqgMvD%ZM zBXG(@t?R(VkP?I3R0B|=?CU^(q7Qnw`d>;rKOme=e=Kkg^?tY(2r4Sz(NP~9>DF~o zUVv=*$^hvQOaiYC+C=QKCF`&+$sQ^zrdWK+hXdHW=4Ic@BR~>2dSE(tbi|-RllOJr zL0C0Z!;xBMs|LhVbHu2)(gzNR?2qszW1Os9&KfqeK;+Puny3V-1@?@JsES8e08OoBY7$JZ%vShy-A+Q_g+=!YjcK z)Dkp<$fzNmYXmgP*Mg35TjK%$?h#8ywb|3Ubf(gC%ENJ6h-uz~TX7(>{Xuo>vZucQ zBYGg)7(4r+=q_kFaM)Gll@?ym+fc$9?-LyzfpbCUxKW3;U>YT7xRg+bk}6oMyW!}p zn=MHI!DEXO>Y_OFG-xnNd)R?CI4HJdexS~IIa247nOt&pwk5R_2UG$6w%n3oX(YG) z?$5u41wh_VVt0Bag9X}8&peqEhEaw$yz%);XSw%IhU<_F55fUp9dwpVXSs_D5A@G0 z^-X_lWcE*X6>K_sAg2ywG^SQ_kWyV*QkS3K#+R+|m7ekC zIV?&1D4aP`d+uuuryO6XLp^`)MxDN*q3YErAuHPY&wu01k#O40NIj47D%+h01gtRB z6mYc=8KUnm+G4x4KlmVEJ<`s&l7SG%I*GbG#pD7nKZ8 z%jAeQGTxc=qsEPa{UKnMJ`t3df)?R>uDH>AkL$uhGAo;DLl(*y5JWb^V?9O@p=){G zZF^)ggCaVpzAzHuLW5XmhtG=^Ug@TQwJGsl)ctGPra%BV@> zhl+ct7LedXb~_7{R~4oZB3kFV2Z7F=T3>$l-FJK3FUrgGf?QLksEUfR5;}a%RvUS> zm%tYW_hR=94~GIP0ejFy^HJf(6*nb{e$da%zyd zvKUI@&`g|J0PBoK7LqPsw~84r6sS6#H1({MnTu$;^o-efIppkE7qR0{(@TKwm_D%n z*Pp4g5nn(GKRhF3o*SHS65mnxkq5GTUJwP|^h4$JcCbQ-kF%|J76-g=ar9-=UW)cu zs1)JX5+Kf6B?+C5#wY`47AGpH%{S=weNTrxohF9Sgy8*UqBe4HX`zxO4vn)$eJOXV zoFX0z%VsG$+=g@)0G!c)t&o@wll}@!TAs>61ESjuKp)EanhJn2q)Wk)W1YxT4+f>F z8N$-l_x|nopfu2$Q%^6xr%COPDug%Rf}T;g4wcfC)zRM2Qt_1IVjAB^0e}6w;79BM zRp0CwiKHqwy`u;k#=p&9gqM7BVOit&Pu8x@ZfMWNR$M$(poY^mCt5!3O-Z{9qAwkJ z*-@X9J&kvv?vStZd~GRDV>&>O>A`%H@AkkW>Tn$TfHc^}Xtl?6lLM5%69@`9zLT^z zQjbpGT*?o5vCX9nt=;rFmD7QluHJxgfDVgv$d>}tuVzXHtS2jcjq5Htup@7k+snGJ zmy`E;UDPv)x2R2VqEp(N>cd6o`rIo738u&yRnFIi28@&FkQzTozp;As*P4pn+H6m?& zM9wl`q;J6(I{;pP`i6NO1B+Q~@y;-P6FYRqLY&9GDP|wDDB4IA;NtiVNC$nZ9ZsOu z7(ZoRJSw2rR%PAnjW3wc&!RQ8KU`b=Ir#4=Lu6e6<45HJD4E)7%7(R%?X>28V+eFrB)2ccM8*%NqFkf@p7?FDNBvL*?XYx@++4i;^rwY#={vM zADdg}1?s^pU5Xmt-jF_|^kg*8-t^Q9-p$k7jZ*s6FJ9qAKU}=xB_fHAWb1aQ zy9;8_XrLEGFY^3oDNjF=`o6q+hNRi}5<0zIQcsnQ(g{LlGXCyg`|dkBu+lMegQsu# zRUUXc8TFui?Kk#E-k(3vuOFT5&?-Er43Fq|-lAg)j&h!(sBM|xN5Peo5zwwNd?xNA zSNLZ<+lxL$?!7Pk;1f-k#6G|sJj5lH1)BF+Y5p5a^Ucz-dtdneCz@|DmlnCIv~XTp z@W#@@v9$10nBM!scR$gzkGM2ExNvEaD$R3!)szy<`rLG#T(H}RqB@O4OrDnJMxQ+Y z=2I%1CVnb4id7l$q6}Y%qZ z*&*L@42&)CsUSmnxpMrcf+qA$vC-|P=_lX_b77wDr*u)6|JK5$p7K8h;mxP$COrg0 zU06oeQiq^;VDI7CU-#A(Ov%(uAR)J>t`nfe)aVv6p>IA5UB{J5Wn2zWuXUwDRlw*1 zQ?%Hsx4kN*EwFbv{8Xk%#i+A_PqZ5^Kg>Rnog)J;(j|F|lKi)olo}=Bad`1z_KCJN zH7ayT{-UJdO(pr$NDn^+(aneHrvP+8D2ax(loX65MXL1_znuzB1q&vvuXGM<+3~^= zf2ENai#jFvM0@Ma$1*0QUS6z93m2vNZ!Ik~N(=ovA7`Iv+mGh07%fL&psM&><=gTE z4$k7`Ftp7xWjHb&cu#|~tj9a#*=P*!e4Kq^N+upAsVX+UU#$Q3VrS#fOYVG5>$98c z@#(38lluh+cMAS}!IGv$xniCSe(`%Yf+(a9X=yPTWTyp=c7a$G??$Tl^nUT-*Xupr zJO@TM`|iEZ<4-PJ9C)RXQT0###u$($*C7hvx+>^2jce%Vq5@^QVo4X@%VUl+2>tVt z9}j%ip@Rs5yls^YtW2)>JiaBZC&=&aTM`3+N6v+Bk(@|k|4oTA#+au`{f5MW!mbbB zBsmr}qBm7Ak=BUclsKYxo4MUJ>@d+0xQX#>^VL0^^tp#eouh4hc8gZ9}v)dleZz=7xC?!b&GX~;A z;av6k?jWU;e!ih5z!?w_sn=F&nJ~Yg2SiL9b;;7sSV5ql#TFRB@`2JnV~=jB9hkb_ z12G=1WobzILb(CYYbTsC0Gw}AmAhSmmO}b05$~Ra&g7~>pcszn{CNTmNsnrS*Ds8i zSA#6tK&pUIg_b{p9h5eh@_a5)LwFoTxCLPD(AZUc9@LxA9G=(_-cd0wnJ6~ErF_aI z2S8f0)Y|~M2^8>Qz^;=4Xkao%49Bp{D-KwsY39(7Nl~oFBP)J1=TGMdKPW)MUq zc+_VyfaSHo3oz0{Mm5KsOw;WfFnyy5orH@51$vBcnFqvZ$9*%%xtw$%2}*s;2JWJS zQ{N5=yDs3i#WRVZwF1lVesxO(Rav`v#!YL+)X;co2mSk7*hc7B3^!wFO!( z-mE|m>NLMx178}5068P*vNJoV-nQ^o&)c2T=hun>Q`o)`6pLxuz-<#~dor3&yjD;@ z(Kx1FOXC#KdurjJc7lFcglX;b>Jj1z#fcMPC^ME0k_M@Q+=pHTV<;?@EJQT@eDT0d z4ZfTa3th~YSv0h9 zh)sDhLCr8;ciyP8m)Xp9Ez z@5=2#O~(sN6onY=kCu}JIs*tIW{1*{XC&BxoET7}Uhrr^$@po=4}4x4Ww1s-S#_e2 z8X>t^Q+R~~bfKERY&?K%HH8lZR-3!43J*~b41i(lnq&XX7@tv(QP!ia`IKm+^1P++={FSjDgFY!`cHVo74HZelj8|9D7b^*@)&TAH%7R0JX>j>q z7nDsey`<>rZ;GM8&?J>xOF(Sslgfw~la}Ie9&J2KN97t`)UC~@xfu%Zf z@KkZNdqxOiPh(I*(E3r>?Chb8BMYu}FN}XmV#uh;8^^ zLcK>);`ivIBtfymkb{JtHA>#D4Yf$aVF~PC*Bu6GQPKdC(zk1(Xf@bta!U$r;4I}) z{tOzq?`z^Kye0R*;-Y4axM|-bf>fw+jYrj?X@Txd-mL^&d*Mnt)CI17k)MBrZ*SNi zs6Dnh9LLHk2VxWQdgvYRJ%gp(P{-DYRI1svk}H$GQwsba;X_GV7cdyDyiO)DC_%Q z$@c`5-|Lyo3&2n>Ew1Z}8S;vjaXI>1cyoMPB6F zC;LOSJ|pf>1^A>;B98CmLy#TNhpF+}Ns#AKRl$eN|3F-mgWxMmZ1(dG{e*!M+omdp z6I_E4c_=xvm1oOOolo76VRH^+FwCIV2$^3}?%<6~z zx}lRcGWy9XN#fAf|4!MHaFHGH9%*L%9*A*dUqkF--wudldd&Z;FC)p$8%}b5#DfkT zYOzy%a??*Pb+b#>odP`D(B{(P-qHaJLd%Cy+MhQCxFP~3fu)g51}<>!Xqo_2-rkj% zIt6gi==e(3C!1lEIfvUT=RzGroN!J+fjfNp)8i2i5D!ZUXp}QyZ#%4k2?5(t%4p0g z{GJ`rS`PFSfeJ)`N$EU+X@s4knRr&xWvdwGU0~5D+Lj`0- zxcG+IR2Rc@0TAuEXlloBmC+e3wh;gIf^T!ilHF0&`WG1AGzY+I1LsGW6`D&ow4NFg zP6kk)pAi=W2IUJ>!Lxc_kR5BJCNq;}=QFMl&hR>zt74?{tfFp9Qrrfqb5p^;{58R3 zTlKVyz_qGHbpZkcXd6ndV@q%@qjnL3Ump!af^8as)Oa@y?$Ihon+jejsb6Zi9j%9+ zi9~P52U&#qW>Yc{Bw6!MSc1>_x?&ENzPaYh9-5@nMBcVcTUF&8SmB6g4zrka7lB%o zH%VryrNcbv)@OT^k1cQl$6kyso)R|5jP?aTQ{nWapv9ZVRoB;*xX3h(uj>+FlXT{oXW zi2N`ATs`*haH1P=iYKOVS|`{!3vs<1^2rVr&Gu?H<1N*t;HYeNUNdtd3D#d2m|F?` z*j3FH5TDme0VtOifyQ&DI#LXdRdqv0(DS(>V{u)f2vDF%K@!&SQ%J%NQj(IV5{xF3 z^bF+bH9J`UFpx#Y*n2oq)DOkV&b$*{lyr8TRKG7OfQaUwrYSt{{mL#y_&<#@|Hdzr z3ps5OaLn7X>k%-uvHip86VBr_Y%y@QMQbV02WEC-%YmN|zK26k$!L0ec(T?njr~HW z{g;>0{$PX0?&JMWRUn_kVjzz!f+kkdECu4)V!tmNI6c9i?t6y? z+Lsbu7kH^aAs@Prj-IY3(9qXkEhXVnX2MY#LSvd&O4)(h6QNzy)ngI&YA2q`D1nxZ z?c074=VZX5=ja#6+*3`qI7@UJj(-9+da-ESM>W5%mK5El|Uexm)P^ zj-FT2-qZ6EIPXZw()DCXJ+2#B@;FwteY2rs%Io@sA{!F9f1CYnPXIOvF>kctzb;G& z4IL38J=>ABxs>{=nu429& zmK8*xV9k9%CMY(6{B^;ZQW>Hk^SLB*3vCY8y?&{6zHO>qLo0UkwfPJLCEy?_O~4eF$DcE=5H093lACM*Q$O?vY=h>Ese|@V!$3D_&+mNzo(w|Nr1s^8b&;Zj{ zQZtQcaOOvQINMrXQ3sK~13#DllC$xz#A?ta{CK6(QK@jIlur}EyrObr1ZdHL93J#& zDxM0NsT>_)NjVj{^5Zp&DA(A(i80q)__G=1l4^@K3tT;2=$QNu{)y2si4Qn(mg#h` z-N1j*A$vG0_i!Dw1Gi8PQI3_f;D~A~6yiA@`JEI|BXQ>B#nBdkQ)gdYcR9yIY@0?A zw&>4(UnQ~>xj>Q_E{`01Wyn?$iHNGj3@#h6odS`ftn(813JM&25}8QoBv)QZOlR71 zY^85%`xS}s(Md9qsIiB$S*FfmS_P776!aCT$dGDpPl@-YKTSm=N%3YyQ~3I%o)Rgs z-SnrCKMkdE$~HfO&+d)g#2uXa(gG@&o&KD+K#abO1NyW%GRho6Pnm|fqEszj(+)+~ z;bNyemX_iZNdxV|tHcJ&hGp3PS;M|nYaTh;MOa0W)8DLM!Yx6K+fp;UNn2z{BL~Z7 zrf9AtcN&YRx!&gj7X?@)g#4QC^L3Y;n3;BVALNIa!7pgfcb_udi`nX+gpNLS62iS*2qHhlXK zatAHU&fG*8PeMum#KFbpeT36id9vJ)Wl~xk-+E* z#8J){6aIv;lR17=$?*mFBD1<6vKcPVbR?UT@A1F8i&GgGW6SR8%+gc;NOkpJW>YE$Z(~~Xav$>*4pIn`xB(s4_god?cev)nsYS@|yM|noKZcf}1Ew@BWlc zzp=S7z8doeQqd zF+b&l%|xu?OU)=WfE(>d-L|k2rc7@OMr&vWxN4K;1F-OzTf7lUMj$6o_&8Q-)Uqgd zh;MB>s^?w^*z4T-pMk4D3odopz6PN74+G;poDMHS1K8|Hz=oy;o|raeh0mw~iuP<@ zfLn}r?34Y$-r>?kplWuT4Xx$7#=7`^vc5Q3unK@KSRDK2lJ9fJi#Ys)Or7tYEs|5p zFwJ`>g9q8BX?It+3}*ochL~yA8%eXxYvqHT#*w>77RPJE)_W^5M20myUcDfVT@GWJ zQYAsY1L-?SI~R3r!^NG1`2a~UQbp^EQ)SLN?`g_FdpAWWgQkg)FB=9{5| zQx%7BvYIqeHLMUVPVBI3YMgq2$Z|u{_>%Wvc(M^ikA{kujgSWUz-c3(uv7Clk}gZl zbbs;lhjEVD*CoFj8Q(DA`P++49^7*gR$PH7^ZN}!VDh!pF;e3jl*VVD8rjFzmvc!Z7_>PyN6a${vP z_E;)}rcO`iv~D~h#G&tpbILnc%OQjORNC7HRGYPyLtV~@j<>vuVUh&yj0sO&+K?!$ z1Vz2)hXD?WZYJnO#L2Kk#Ml(Ook9E;z3Bvr8oxU9)gTK*WO}C~ z$$m^{M1aA=A(05tEMGDKtT{J^Dj5)#7fn*eTHdFtO(pc`Q~>dxT&&1h_3 zw=K?Phj<)PeUI^O_a!yIvnA_ogQb0aMTi_$EBrd9%FC7)It?Y`JeS3VN;s5f8oF?k zWVF1JED2KlQrd@sEZDZ7wd|=pkyTE%?Q;$jz<5^U6Meu)9Rm!-XypPqrs6w*4EF(` zqroHnwHZJ!N;RV8kq#uwB0zaQmO&HfaT(z%$;L8(G1|aqP(A9cNo=*npUV>HLpX9* z(lSW9C^LJ#%w#H)j<{SVEnY2$6FhFMczo8q(^TFh(pStp)Hv*wy}1?3Fde{PBAfh< z{xpal6&0?scq%Gz7>E~s)EEcUI|q2C*BwT~vQ#;4$}J;FzSC^(!(xL~=8nbw4;p&< z!A3jVUhj}@PFsy^s8O7e5#isV1JxwZsoFB5*bhRS!)9BT+6ECv$*JN9@Lqg(_5#Fl zlR8yOcGV^qMJW@!E;(am&v6w!R}^Ky_`ScKd!gEy;wbb|D}6xotjV`!+lf-_GT9xn zRZn0*g(Dm0XBJ!D9k^;&?oMRWpjC>*c@G*pkhT^;=r9h+#-NdAs8hpuu|wGNyJH_2wcUCPMqTo=GZu#Po+Z& z7u3YiC%4Ov4nLI*5}cwR6DE={q=bKD>}tERC5vti`l?M%XEk+3;QO1ZDAaH4`p{X) zXGA_J{uCN?&xj^LXxo)nsx6!%zx+8#D`{Li?V+KQOvyks@_kX4bbfvYnGLO2wb-7J zib(EBEN#_ignFLHz{+LsD7!0PRF#FmQ|qsN)+g0f^G?+&z~Y`5j6pQgv5wWp>kn1CFPdeJopn ztdw>~s8;jKZ9`M8zsgz%!C>?`pE>bM-fabsJ| z`Ui*`obz=de1Lsz#MMSocOA&AvUx4A)&M9iDzRlwo1&&eyt5y!xPjQy$d45tJ9`1x zA3PtlWL0^le!2|R&Qc^zBSaT%&oqf=(qcv7E>z=BWam&l*EsK5`!;_eTL>_0>w@VD zslQ<`RJ?UFVsx}pITilgX~0dMb>`O`L(}~LtoVVBzHQzNpSf6173(`!xNgz-tegB` z6=aYc8h|Fu6h-tAtyV3l_?UHCG6#5tq!k0`&9rP-C-#fxD7}aI&1Ul#npX|ORz7O+ z#3&l4j=He^-QS);UIUn3A{M&^{Q(#6F0#|)l8zEF{f8lg6&$cX||PRzke z@L~pM(wAQ;4kZan;O3zn2g`ba4Tg6Kr#hW+1qbY4V3D+2;fvb$9@zms-VvlRPUW$n z)$^q|!O)vbdRjLIq}E8|YP@B1XGrv%JNapap~1gtasSYfwNNo!NdZLktrp`&u_?!QzM{u{DM92p znOY{;LEw%QUhCEkZnS38P>TS{hngzv3~)z;fOT%K47X34#6X%g00byNY@|k1=sAh% zL-qr>Bc}lHEgXOG_%-RJ1;i{M5&`i&0ZeCmWezM_&UYe(h9{n;ScsSUX0s-D8>FCB zpNgiLb}UW}h-bwB0S|)G#l=XhvhJR#!5eWVSs z!))0p)k3q!Jy6x2^>Bv8NEXIRj-Vu*B|F4t7PP-J0upEUqA~ji+LI8ONZU?TOn@aj zytCnYGe6UjU4H3kLD`PbgiRLlj> zg|B?at#K~u?pTacd-ZmRJ1jG8VLt(TrZGQzUDP^n*YiYALb64lbh7AerbW*=eEAh3 zMsOy;40hyWv_9xO^^30M7EynXIf_qATT`QVju_$gwp`J>jD zeLq(7w%I{${XYH7wtC#kvp357BkRrMO+B+OM%lyR_qs6s3U4MeyZOP#uk^~P1dnuc zD4Uy+s~etI%Rb*@xqV-kQ-x@|o>kUvvHxt<{`2NmRCh|e@XnMot2z7PJ$fGLtTk-F zUAe`f;4GZucSa}B94?2Vg7N>hm4QrzVt;oT`R0%AlmZ}sM1gE?tG!syZoYrxIEjC* zkgv4I(3XoVH@0zH9k-A@ZE|O;&7Vl^1G~0daiz&i4Rfm7vg+6i=udUtU0c8zs(~uS z2m^A#`qkX#F*&z-#QJoO0DP(7n$gJ)?;G_NN2N7jgwJi`ySnt;8m~>?k=ZPKZ3&Y$ zbX*VJK@%+@_OE4Lnn~7iM@@L4*1P(yy)J1R$-Bd(06{>$zlx>{zX0f^d6$g2MgsTH z(Nx~FLzlBxj=Is5HXQ|QDE(M|SCYlt^r&(rjy5B^%IHgIx9d)2=POQA!rJ=yo8Nsm zxjr4ha0v&{fd-%eAvG5yWMhvFHa57}T2dILxZH-N!yb3IXt6(>KU%PvOB+C(5v0*k9)gX|;biUFnz;DGcKfTkYM$xK^{?fF^&iUtEWPbgp)PEJ?zs$;<5?4<=(#9Gh{=fLD7;0bY z61;Pu!>)AxcGNMW{CalzsU+d0oQ}Sy{Id-2J2exP%>OTxN$@-ZMR+M37?_ZU;hPlE zV*CiQ_)QzKPR(=49-G-aYvtodfY%j>31t#15szAzex%&2^owWxpWo49k>m1~L#6os ziEmyw7K2q%l!N*_P8av4yE`yo$mNqbPCr(CSV}R_WHcIp&P|6L zOx7@te;CTGS^xj*udC}>MRZism|_=TI$rbTVuFLVdI-T~X(jFv2EQcSUdvt6BD`2` zNR(TyFdFWPs>l5SWg1^_xtP&!@+MP2rXF6IyP`l~O5V44`0Ebh7&?A;n=$-Rx<<}` zuHq7l_RZSHKdR8=N99f(GO}>3mk(R;_`Z^t?~BAgN+=n>F(;TA-n{yWARPpP&jJ05G#i~5n~cO<-X z&>f4aE3hNxr;}9R9ixu6Q83s263+{yiacllXA{l@8@c*;dsgp_S)b54eL=_AULGpG zDO>QqmgbjNevNorX*zxM#`Hf7V5KK3rrhP~wc&jQCGSk1zB7IHzVx2^&h*|p)4#Rb ztBS1irm~+bdcHmPwEF=XF;e^UYIk@4x(c3pXqVTj%2@ov*ud%RwWrWvuh3{McVFby+-hFIO^~ zRiw#lna)GaaY%emxJ+t+Y;e<@8=!f&pfD(JKlt?@4#&KE0pe**Ch_{$f0+OJFN-H2 z$&~r#<$Ao$B2=MA93*hn_~lm!I4jR!uEJ}X_!RM7B(S*hbAC^%nRFBwIM;kQ6g9j< z`@E&2DK&$cQgE68>f18O=9?vl&Z)%RC_ART0DkxO1Lc80o84aV7JNlIok{2@Zhucl zk{0OYR-`H7ghYGs*SqD@f=AT_6%xR8`BJU3VrQKrRPKbp!c+d$GHyS?lVeUDPUnid zB_zvkeSZ;Ot;OHM`S%&;S-$O&lNg_Z>js`ipzDN_a?$lykdxrTz%kz&wcEQ6`p%pS zZI13dTNoo7Lsv57P2d`dmqmChI;SgQfh9#?>NF|?Fr15aS6y-KNarBjux|@=U_s}1 z4IU8dnBn|ng^Pl`Pky|@>UggU`qEi)DO6+GVFP6lr zI=+$mznKDq`L6%Ov8lLuulWWZbhS=S_BqzdL%BcTnOGdssGQD%Tl&z_Fl-qhXS}J7 zz(PevR+_BX`x0bqU5V@S|Bt(O>y>58&V)`?*=;(I@Eg2_6jGhFRQqJb{jvp*yz#<| z9}oy4Gb1x&XJkg6h>VpxmjuGtk`ZpVg%C2Wrn_CTCA-vA-^y(n)8e6b`31xi|DbUd zSV;VU=K6hO&bVgeTI(E6S%|uEZ^S(UFj zS62jJ91DzH1|WBKn1X6;hs2*tZF*zsgQ> z*wAH4(JslAZhqoHiF0t3)6*91j7gDJpN%C3PIzIy*ow=~7u!mZE3gsNUofDcF572H z7`NoRg+)~F$`k7>si3A;wDGYg(4$v9IV2){CrmP5&}Wwq`d=(lXr`E%yinqej=8*& z4w^Nujw%$2m^l-9P9#L!kXNLfU<}zT*K1RGR2Im-OHZdO-Da?Ugk+|yGj_p^sK9rX zBsQ`|nk5c;3vdYD&+>kCm<%u|NatU523yH7tjV&u~GbzGe#><`{7nc2r| z)yVCr<0p(mK#e|Njxji~+n@Tt3XKaVaTNxc)w; z!sKrF?&kL?eU*|dWl!l56OHbLnBL85Ut7wzQ{p6aI&3n100If^O%)vGDv52%z;Jm% zI|>582F^z@!4JX8?^6nc+gvrpKh+XfeVvp~L9cj%8&uE_qv|3xLwlYcQm+qH_2Lz!8VL%5Wiz5=Jy$s z@_ke8P8o23El?pj@J0G5>%!U?&r~bAg*t`G#PIc%buk5xPf^1wap(;#PG2{g-=)rT zeUrR4oFo`YOj?N@)qT^&z?$u65b%_?LAdnV^4)+~!{0aUu+8syrt+y#LB7+dLNis4 zCGX7h$6iukGtNRJA-|TSp1IqgmAAId)lou@+e&opRwDaIE0%AOWvf6UCkZ-HQ7h^x zuL!H2wnv4QB;gMwVIo=p0_m_e+Q$hc#>HWeb?scCNb&KSc9s4DLh6-{a^-yXIvGya zvNaU#H?`_4LAQK&3OXrWqtsIBdVHUeF6y>gIDInZusQ50ocdnW3B}54Cq!tD$ zBB}!sE_^GBjg!n{iE#Rohf|+{>UJnz^pU*8(j~--LPG*4Hyd+Tm&-nNgw*uoC$Awv zAcPGtas(D*bvZ1{yiF@ba~TMOrV!bZ{ns|=GFW9B(tYcsLQ3m%6+$TSC46Bf3<9It z<(DNFUY}Aq?RyC&Q!u;7j}>492Ix3QO8P_S{RHMfy@}HjB8P#k;e0(noSVEj^AIfSVTcdbjzxHCvCLyrbR^xh*;E_%`1Fp9$s?)0WW31kQ@jXY)hD~bqtajfWJGoF9 zd|NbwFF(=<5|PtyNX^)N^JRV~PkP*rzq~Z#uZA_*WchP$RSn_Uuldc_Z5;;*FkIVl zGj;PX*>&*wm%}DbzZ~?<7lx1zcVF$A;dlQl#u2BF8bCVcFbbh64{BKD`ivMVG^fjp zMM%j0!%dbMq-#8^4$#JVc_RFSr?M=%L{{B!@hd+WUMul{wTR=p$3FzqN@o*eAH`L;jQBKySj>UZ%TGe~``PqMM1%mDML=)@_>%<>8O?c%82n>BI+l4%D%> zFx9P9M&?Ad^e@L!_|%x}bg<-8`B(kz>c742U-fyQ{|?pP2C>lbgvmestDok;m zqCQBfOM-YzKbJTt9hEGx>5PS?vv)-TzscXQ=E&eFBqW@b-J8p(&dVG z8<(H#9u^B z70UMRm+|+byoM`J5k*N}o1$5zlf;uR4}>GkSFBJ@C>rIYU7DIgFngXz_jC~CDnH5N z(zLD_5AkQ>3`|6i{~8PRzpl{N>l?@%(Y!vaM!tvM$ejz~@-zJx?g<}f9E)w$p3)@L zZf$+~F`1vtn&eBx3oE%ZzS%;hT^eTPZuq+?L1ZPd_NoLHDKVh~HBA zR^6087EE|tl5ZA_#CWj_zLHp|?cZ31G1P}lF>2yqTo&Y^rHk=5RPlN7F5`n3uuH~K zY`PMA_)Qn$^*mxU?`i6N{UX$kRHpRnB-&iH&2qCopz22wlYS#|gUNy!|Mh~*al-lD z2#FbkwahE-5~o~wU%Z-IWPp8(V7~HhGcp%9e6#(g#KwdA@}n2(`%I z9(q$SQ%Upzt3umHB=1kbY#ClW>3VqG?sO9JBI@ECXL<{DG0ep=CZC z1j@HfwJEDZQ>2f|gK8rMim!~)C{nr^Fnuj39y)}2K9sukOMt$ADoIYXYoK_(P+nw> zOVZ!z5~0Qau=?~z=-~C|>0wF#H`pDOtn&jlI~CNF*J-*ki%&m3WzXp7Cvr-^RA&5g znaWe1=s?6tSXcSxY<(Dl4Tv8NDZkBAvn36(`7jn?s#u^$HoJ8HI?r2kH)|8FVH^a+{&v}lb?I4sF^_VAvya^ytt{JhoN(SR8=l8 zZ}=vp2_)oMkH^@NwB5xf75>q(71S!SiYGg(KK=MOlqme~<$yrUDw=$o3xPQ?ooI7o zf}@wZSlcHeXz}X&zBng*yFBu6Q{NdibDf>IBB&DZ-q>;#iJq0N1f>D9pn9HbZIy1) z45K)#lKP0xhe}2%rxWs485FxMc9bV>F*maM&b~7Qp8dvJVH}4d@TV1-;{IYC)qG92 zj3K`1nvuiIPy}lIl%;&XRAOG91B%N*=ud{#$f{GmJ<@%ktxeW!KmFm6a5d?&Y+#e8 z1x`|I7i=)ylH~7J><4T;8U4%CwJCTB0#}Fqw_q$u%QL*?2p+|2VA8w;?@^@VhP9%* z0Usfl`>WNbmx5lac^!n)_0u2ni5>kzd72aY%15egUZo9#yjSUxtf@_XQ^Dh>zekYA zLG9EhmeX=zzC5+N*d%!}Smp8zTCdFL!!tu^_b`;7ZwhC=dQCsva!rcQ(Vv7Ll{XzrNKhee%^LyYEAbxsb_$`R^I=u^ zw}rT1b^C1 zFmjp7{2Eq3R^b;=`IOnJTXAw3ZxH%21-U?Tmv<3gF{ec1*k;jPe+LhW&So;17s zxW{UILu!G-60pBX;)GR+28o5fh^|Z5Y`z|(8{g^VP9bm1&nsCZ=S$V^RC-f>fihY&6hHzNoiG9 z3F+8rE)~t4Lh=cvSbyK-Gq-$ckX%tBT`kzBD0AD|g&Uw~lTDIZ(fkHsMZ}%j`OB<-DhwG-X)|yN zSNidwuiKoD8WcSR?AuS4#IxjCygp>>`cMwqI3CuPap%Cm6oQs)YMkeXeElI;NoJ-? z;w#k9`j89c_o%@W$H2L&1$rnu;A~!#RDGA-`sB6sC zpc70%%D|rXc_$#UK4d9}D#bcRsy^c;^ zH^<>eow#2iC>l|QzF}ZAhDr@V%y0zL$%#LU2?o^ouMw(|g8i9b^SIUv_+xkRkZ!TD zQi7M7FMt4fmc}0&RsJp>)A0A#h5OcPNMtW!7tN%f?JPR978i!gWN$>0`fAMxl{@Bb zW$z=Ky|wC*C4gshC{a*g_qlm!&gJfvVSl{^aqpS>Vvm3Qp-#puQ1^T0rF9`&?y9^V zr`<#<3k|yV@*sQ@OTuxiIZ!rH^;YGPJazLRXR{;hPzBXkWWz2U;ga2*sPiH{Yk=|g zrnUOj29s|n3g_*n``)sKzfPYA)?GZfv*5$lt6jF*pQn4^8+wZ_?1I?#md^QV9p!$D zaGS?HOs=E$$Qr7+40PsMw6G(COkCHd$YG>jvrT>=em`SY z$lk^z0a5u0p?<{o?5v~yB61BnD}E>i1b6r8_v$nKg0%M;lElPs3ap5Hc67|kKR{+D zAYOz7>35+V7lOXZ7__QAX^|jV*o5ehVX6}1o}e?kD{Y2lR%{uR-lmBy$I_VVOBkwU zQ!xfHB?Ny?7Xy{h^&~2A=y@z=;PCdn_32fCXas=p^(`NtF{tNjk6hZ`Fpyia#`KsZE_81mQie)<*eP z+K?Y{C+v6-Bm&S>o+9dZPWqZW9y&sre8*wo60Bcbl&5!~By78k?_zJ(UvH8+v!&a+^rx3g*aMLE+?+ zcjipF7pPg~6Y+Ib$xh;+JSo}XTVYpn(AtTNED;88XRcHynQfjpAf*BU4wFw2JxVA* zZMv=kgt)?VcG6B_)b5#ko^d zG%YHgDJlp8TNULoe5^0Z9Tg>1&~dCv(yK^}>0wW{<)Gj%8;K}@r6d64B*n#KVT`Ag zB~fU7S>AxCOs1tTob{?S1w1X#rE`rUv%+nw;*g%vx~Ks;mlF*%(TnQAwpq%mYY~o6 zR&d*?(M(}ZK%78F7ZwhKh^OsR?9ASs@}>*n0UyA!AxBYHSnSca-_?ahgLQ4Usyt`L zi*qo1Qy=<4lIW5o9Ir3Q(-CwmNSckFo@>!NzF;wEn!pP}>WWr6;Y_-ld3shbpXy3M z;fhkr4|Vxg&bXa%uvLBOLe%Xu8RD0%7o&H zQRWzB_fA9OX_;83V|WgXvCXJ0PZjoW3EC_ceO~hzAxs}1E84qYa(y;@Kw9zk{&==_ z>+_R!!V#9r)nF-+$_6EzXvXt7{Hg&m897+w+nhjn$C5sV1=MUBMcN zQ43(`bxvT_I|5EA+jxRHi`u-cOzrQv?n=^!n&vKiwMf`dr(6^3eZ{QV<@}ZNoR`P9 z_NI7xRA^Vj^Qe))IC@`0-Ms35?-x_mr#BXpVLh4+_TvN8`PFV(0*Yy=?h0i`K zoAavdbebN*xNfSA-29}~`8bGfHeq;jur?%TQ~J;7BSZVscJPCq!c}n5f(_RPRtPq# z)qYnN3~kdI_fDRE3L1+={y{sr2%1?@LQ$)mXL+xoGssS$Hnuem!u45G)@7vv zuQkJs)3#m8)_4+8-)>tTq42R9Q7JV$9H^A#@-kdygc``(utk~;nTlLS*6ciLA5`oC z!o{Er=%MGF%t~GJq;EB;5w@Xym43h`vL{N0=!L|iV4P(*btbCCIN zRDSF3A#_NBfW$h8`@Uw7r=C5sWQ39DA%7H8_d{xaXsUES=mAXKf?i7+RiQ0ih?6E` zTdj7aOuZ?2nVxsE*`26Wd2MppeUCO;XO5ayxMbex_&;eWCqIOh; z-pcWA3l$XTWy8?ab5rfJt19uFmFp7o2UF)Kzr~mk<&uRFP)I#{Lin)FICtyp86^za zrQA`AF;p!;i{lPv^SPp%6_-%~(|3jVy9cbCy7Ati@z6*sUi%Q~C#yswe0Abs{GdPNeA7*9Y%siy zz=|O4V_lx5XHvyFt2+aoA|dcU2ao-8-G1~e8s>2nfl56v;6>!wtdKhK7YBxW;u_W&=tt20F^pNIe z$_?nXVien&u#1nfjYMZ(rkF5?jG*`Ct~{Lhw7#v<6J~!#H=%rcGy?j{e)=KxsZ%=o zeOl(=tFv5gDzZ9WspenOJwSV7e<8;L&kblHM|rotE9e_4BeJd%S}iYBKaT?bgYUdV z(0+%HUDHx0bZR;0!gRYT3n2*=5D41}Y~OcBghDr1JjDUrI@<|)&?6jY`8TIued;<*l^*d>g7pUJb^Ofyv5u43#C9Vbi%^ypF7 zr2L5g@qW`>LaS8t=wb#(jB@s!ApyGI=9=)9Yc6ibwj$q6+#%Ju(`M!ghRID z6!*Q*9nzY|_lpq#3Y3!A@rb^>s~H)|);XP+>36&x^f&p&6EE<_H053W=Bc+mT_6q> zcg##4-ybPOOitMGAPL6=r=_~Y?13}x$ac1f-;(u3nhtHYpT*pY(OY`KTu-hfmqKHw5vQ->f~(as%FdfK_XIE zGrWq4ABp}FBwDN^Vtp;v@5DOl+Gf3i~A{Y%ypiFt+_#X&Wq@Mp3X)yUb`KE&jE8gN6!Eo|*i<*J6X_?lrH^^Ss zRO>V+-NS`sx8H}Ymv#h-v2Qu={ouV9E)s%9Sstn{M6*xCj;pNG{%Mf*d#1DSk`OC- zRTF)}jg6M?Qa>Tm#MzWpeU-S>LB?$zg04tx7X5MvGtNaD5Xl_U*c3XPcnqjYAW@8YUFe%a8QWF{wyats)XM45mI!t7SHmG{~Ze&YsEa47U{JH1mISB!RaM`kF>!e!?_|3&H_WN zj(AeK@X}I!21QJVv+#N~fjTH4b@H}DOeu}nX7lNGt$|agc|0o>wNFJI3f`5qX^I`H zGfhg|{%oT_jV{^xnAPj_s-OPkHcG|p(@4CnTVP$v0#)K8BFno-Fi=}Xw?l`3S~AKP zTBHExrMzlNeyT5+4dxlD?M)$(b*ZwCth;(y-8E}!JF3dFIbiG4$e&3l0$Ooi7n!57 z#e=R;x1MsAlA%aF&#Li>#)XM~N&kf+YjY_@g%~eF9zHv)So_2_tp#*dJvH-+5!0ME zJU6N7)tF;EigpgDGLT!;`$|Y&ZgRPTxKJyZ0`NzsdYq=ZqBj|6-yR9*$|>3=lG^pS zAb}qw4t2y!epq5P>rr%IL2;_{seD&rc{bI(fw@hnTGI=3Cqsk%rTi$JsVk*Q2cIFc7nW9?_pLb@UJ3JF<^O+?-F#pSC$`x~3i3{T zuCeXl6-iK7xTOoNca1(c;gf=+X}^+D*V%y`6e_dDm^?MSo*`?h@|3+HA?+N37Npa( z+MSjGq|zCE!l{G~#c3j;N>4eVX6O%kvY``ATHVeVb?c2~f8g69ISGaLu;$wiyX|nU zZ6|y+_ZB-;#$#z(b7&B&TmoS$o{ki`v|&8P^4M!T#*hChPb=a(=`h_2re=yU+rYAG zgzNoM$qn!ts;ER@GGYrm2X$25y0(%a(F8T0MTv6QumLZN!#_Ap+s4hfVus^p{crw(HWwxOOxk>ZN6gLxvm+fej zZRkNq7?E|&o?@hZUz3!6KWFI8&Vn@RRh65&e7nu*1x&`c^1QpYQ3#V7yi}ogP{_+Y zpRd*?_6PmBFV7oNBOD}j;AdTLdxa>IB;iOk{Oq`oFy@T3tI3{SUS6mMgPArGD@8Yu z3~F*ya|M6E*y%~yb`X?H(kiY5ONYGZhuJRj73s-gwatae(L|5(PF}?%y>+}?4KgnM zz)^&(p9F*GiJz<*US&rSmE>9;Cii<@e^RTZN?95%cB{$b%!3&m0D})7qjpKCZ-VW~SQyi`8xe3~|1vU!}6@gzQUekItbh8tS!f zPDS2QI!-DUyj(FxLh$*1&4?cS{Y_WxU;55xpB+n$%&9ap(K&#!f|4+ zDEFa$w4e_Vg^w-|4+phT;Zqok3JzK)amU0CK^NIE;zcuUQmFy5$ z9AU4PM*7X)aCxQqf`p84BGr@Nzu@qXI}vW{C1H5#FdPYyODY^0l|EZUX8Adh8WaY~ zN`S#cc?mk1UhDs0_^@==IpG-Src!0QjQ6#q88+#P#qp8^f(FCDc`B_*@50fwPx!u$ zY|2m+wy!)BZwkJkOAU2YuHZK6EX0+|NHrl;(Y@K(wLG-a<+53iS}tU)I7c@Xc}n;- z*6dndB`GKB<#gU2#7mPqwPMoXG$*g=ijN_3`=`>Fdgk&o@&peg#;wHI;;r+mjUJ7) zLQLF75TAcI>)LIw-LihT$k$u=Ht=wdHS8rb++LiV13Vw&4@%G`nrl)_;FfY#J<~go*%;eoQQr4(}y5nFJuC0eQ%3GI)!daU4Xa!wqhjgX6dSuusdaeh&wg&=q zo!>TJ`*D{v-;BTh=7@tTTb2z$Z{He!;14|X+6Q!bx8!S1qW!$p?juT|xL#+6Y@eFt zKBZpqPHAA~g*WT(^a-GJZThti^U`~`yfPrUbEo%XUv8{yY&u;{cnD$LbzuV9D|=L| z_)3pI;nU%;IJ&>{IlQbeX1yD4L{d{>HNjrgl^Kq_&to<}*6#a*_DS=HWlUO#I`Jly z`(WF|F!CIEPh%iZS6p)AG0cmL*uCe*KW=ICNH>`3N>}VF;RdB5Gi`PKNIjr3!l-{# z_vETnZqwVbMvJ9r?ms1wH*>)+8xOC%OHMl7opic4TM<99LwUord57FpglupH?QQM2 zoy0RU&b=wqzZnFL&3oiI&#L#1)Jf#HDjH?v$$%q37k%M8N72zt(e_Qz_N2MaY;(QX zja59w*bQRf+af(555q);9qsw!zgfDNp2W@o4$c@5vaHiWM9sJ< zm;Ugt3^3jFIY-(lMr3FeV=?x@a7Ru1y{Wi97IkbKe&! zK$0dsxQ=<*#Xi_GUF>=?OXAI`NIqsHbmN=CM(LJ4@cfnS#MCpmuch zRJ23_B9Yb@Hi;m3Fh3CB+kB+rU$hv>{io^a#NtTUus!DIW}O+K?FN=Qj*CV>`pyLX z-8O|L^&x?a<%B!iGY`I7TjUZ(UwigH`w#z-jUPX@f`vmd8r%>z168JNTBIMZydORZ zTvD(L67%4=i>MRf2N2;$6yf-bNMxjM5dy7$EX46eNL!KR+l1JYnz&ksFG5ytYmU@pb41eHE+GYOl3HQa2_9@wdsMfDx?d7W8bHoVFr zr}gMB-d|?07om=6J~Zy&CH_NSOntIh{~!9!SoPo1>ur5ugmN5<+fa;=2rb)K$(2H% zZV-y;#3b~4Eluc3ny0%mf=-4vNK@^~HBssnqf$)DN}Y<#P%C*De!2F(uQPBztp|w@ z_4)MOn!u{&161uMFJQ~jQ%gJwq2N31=h%M}EyT445*Uep#9m33L6qfob#tBjsf5)> zCv)#73+dmalX7QFc;Mn8biT|qK70O3MN@x1pwA%@e~S}M_}4~D?B-Kpj%=u3Qm{n_zKy}Be2A} z5x<*B4!<+^oI#F2-HgNDzTO~>DSLEKuRwu;g(KT`wq{|UDWVsYWKv25jLJ<~31UJ= z-la$sB=fseLi8J-VTvAu4VK26OjzJ43DkM@**#dPYhN&mKT!~5aX1e6-`x2 zWU`J3a;Kd2heai$q5|G~W4_SE4eDm8sM9b%SqweM%8hztk@rAiW$Z|XBqb5SjMt@| zi@Y}y9a1#=$g?8rz{kMj=Zfn?y>ux;Z=AC{pcNPms$P}mceNT!C9ZA3=UZ zenGMfvuA{=1^V)_JoC}1d?F4s5Bcjd)3^8g66>679;0FI3W!Dp#GF2~6-nY;Uk`jb zyvnl;8?csl{`O*lVt3s&y^1EQZvri~U`)q_%}x*LfJrVC@hrF!W-{w<(8(LqkX1Uv z@k&fF@y5ty`tbVinD6&F85;|F)8O~pGIMM?j@{gaN z%{``V*Hs_PBBQ_ZKCLi|w`2!yFVTZGf>Pvqd}|D0K-=`UN?jpm1`H3|6{gPst(coP+XJX38I?$`2cgz~e3s`OR zJgMkHi@REOR8B5@ol=;1%Z!dVyve;%(auUj485=*`fKu0Q6Y=Mwn4-L1|T(hD0>#4 zQsO5L=&@SQ08K|UT8iUcO5c5lqoN|dK=U@k7w+GTX@vEQZ<+$%u0r-IK4=Xl(rDS~ zP*HCrIi_UxS3thtB0DSdqnvJ~sz*2pvVuX>N?7+mtb`?e)#qTMYiujm>xq>lA)MM0 zmi?xnA9T_RCTw+3Pm1V#^|nCojy%ur?2z>X(j>N1LBv=j+X`&qq&xB+{iw z4Sc0adbaVe{1qJ!0|gVd0CWXDKCLvj zpNb1LG?cgiPqTj*BKU;>abPqXXb=*Nz^eqZj!59!ve`;ld@f<}v>OKkYGOC=awC@j zkuR*BsH7?uwTqqGYlWgCR4ekdnZ-lWh?o{4T&9)%vhFV&OWDi`xhQq*uFfrM1%HY+xHpVgPFZ3bqh z>{6&FZpUC|5H<2U=Gayc_XYT};ux%R^OR=Wp75Xp~f#|{dls)ItA;jOf))nxhD|*annHmeo&WtsMsTg&3`kgAU&VVQNX- zb@}wi72U32aAea`*5z`Urz`fqNK{&68#XSE26LU@sxsQ#rr5eTJTUNB$N3A=gdp%r zo{@8Q?mJbp1eBTDEx2i~(ig-~vym->So{_DAF6tfhOY#v{FJoiqesQf^DQ$ZP}#do zY9m}#+`mXKgwZC0L7jcItu@rm%Q;+JlKkb36Xjfz{80V;!rC8b%ISoaMI-3aEGOV|v|VZcBv!1MSBo!5M^Ol958B7Y-LV zjGRSe1yK??WS?gwLxkfnyR6CqZ%l0{dQj31+b|z=UMIniC<=T=6TOtxqYlcf{ON`Z zNU#??{C(c|coBmgc(E0`XvX=ORss==br6psxFSw{ct4 zi~EldYqSlY%jZ2>H%;-_h*0aAOG}k{;8yNEZY4_uvARw3*M8@J`OV+fq5?nkU>L>5wke-?l%x{< z#jpM7r+@nEOyqm`U+9GlJY1)OaH+)n{vZ6s-}sLug^Nk=CJ{sTcIi-zxJ3NLul+5E z`t$$#2NtdSD2gQzaV_p~&1RJJ&;R7V{PX|z@Bj2~{U?$-wEQ@v!QvYQJ#^62v>eF& zjlcHOzw_7s;#dDOCME&7?Gt({A@_HYH+{mN{?_mO>>vLsQ+XWen2g)5u}v`@8lrV# zb3YS|6$b4<`rrL8e){`=^wYojw}19Kzb#qONH3z*6d3;%T`dO07k2@#ClJ>&R8CzG z#fW{UbFW+Nngjd1dgDg|t5OX}bQE^RYr+-(lQ13%EbldagYad#tGE;Y9O}&%OVPka z1S20Z2~t=JV$jzVd`h{A|6KYSXX|QQ-?XASS`kHlw%3Q>^ZAre87+~P#PR%mW`%;S zAIq-jzdXoNHA})?ElJ-j&T-`%1dr}@N78SleXRnNo7hmY=5(bJj>T1ey$)%aX9jZj z(8$f|)9>f|{ii=ZW?yrM>y=`vHd^DZa@`91QB6_CzuZtG)n~ChV33|)iOP}*M^vTQ?J@ZkA z$@zu3JY3o`e*0TQhJ^0rSm}1F^i>>WJfyO%1s#k3qLnzZQXLe_9axaLi2JQ$l5GK3 zBomSJ*a2+EJ0x z#;R(b&Gfk`lskz{y=q^Udy_mAB;8TiCn6u_5o3iF!@3F~Z&^Xs>Dt7`EQsOSZ&DH% z=M-D44m8Hxc}i=usZ$;2tvr=FqL2J=k~n(xbj(i}4_tiu(V%B+BS&d8da`qR`t*aN z$QIh_^t}7@*5qtrC0TkRb@&|6g5OeOQk2A1qvsPjKqV#jVeQ~ zEm2a=XKQ~Y@fqwe!D3?=^oEat<~h9auLhUmHHlte+8g{Y`Nl-5RfAGtT2ICJ1k}#vGP`m>MLfr`no=5SH&oquFDfovUS>Qce+*| z%0BJ7lt&#}@4O0j6W$}{Fc}R3%9|wDJ?;8iVRbFq(hOxEg<`c{a=}alV@X_g=^5*3 zZ83C7JU>>jJ@VQhkGI4j9btg!A;sv>ipJbA6*_~}4e)sEg*LOumnh?y2~`@p-}vXh z@Dgg5MgyW#u}Ku6doW%K?dH58C?W<%bUNpu7 z3tBN6ft}3-QhBOUU8Te%>F^*6v33-5JSq@arwn9{ABI0%Cw*qGPK5jSnDNHRhlTS2WS%Zwlw z{WU-!(}-#iG-8&@(yfFxsLm(Amxz1f8w&jqyXlZP==`BmZ#e8PK|v#l89ORc$Yg>B zMdXXLm*RQu1gxxU-#l2EpfbBkSTHk7BhN|3-naJM4pXRG>aYv-*QGp$FszFB6MpQD z{c59bj?KX2$-$)j&7(nrwr*h%JMIYb%%AVFLP6Q8ip6tt%MaZV3ffD{I#J^&&iuUf z%S?$+XoW?798TcTx^+DP^}A@0IR)R9+*ZuBeN6ga|E149gV|1?;~@wYj%9{KKvlqE z;@$LJRH}~3O2bn@b!lUGaI~K+q7iM%>v?d6#5fB+tRw-1**1O%1cy+Ot2l4hhWhc| z3*QIPB5`d)-DCgYVhfx0m3O>m66AM;e-FL0@MD{A{kG+C zuk<_}14XVdoa@=SR9a%aB5QE^R;iIEzG_&**f|B*VNa#G+-$7nwOX$lxeie*SeoVK zCAm(LbofrZob(uV<|uNvD?`e1atnODZg!H8SXBzx$>F7^CoC;aM-{(qsAg1r=_Na6P`QLngL7Q^#HV)hZfLWNfGx*fX>YF&wgOnOE6YmFr4emy#>@#u2vN zNU_kUr_ATH`l>=X6L3O{)KD&?x%r|i#5X}bnnU4TcT+%%^jeXJjQu;2wKj%Kw1fO*BeB|;_IeCyd0^O&%M{xah&Ju!b^T>sm?QPXeY`gD)NfhaL|pRgz$dS zfGk`R>AB0YcK7T4xYw5Q>!;`KM#UX>97eROj?3jo!V;Hn1{EJLp?WmC!dhmp4Dqy;1F4R5ooD>Xx7z5{0Ti8L zuIg^p>6CU>k7SSo8&fmc4#Ok~$O4Orn)y3&iow+PyjPnpzD?jcT3b)CR;tCtil^ynFPYNZ-$58;WJEDWx+DE+v z*mUJh?U#9V(1+|hbAlf=Cy*Y0^Ho~n$jS;Lt)oUKqT};9Zk(Ty$9>eP^5JeHNkwNG z8;z|}ANQK%fegY7Ab4lCYMfBt)neYsuWOP{xbOKOpR=$Mo#d$9Gu3!?Bq5P@4b&o`biuPj7CPKO=LuKJr|Pkrx)CJqyOG_VYf$oI)olg?J#@ ze87@@q=p!q+x5wOXlhs@$44{mKRXF$^NBC_{F>jT(67x^Q!qBhT#}@i&uGgwWX4qJ zT=)PvK*qm7v)t6?cg1tcl;<^;yR@>83J+6?JfKLSVmM^-^l?xM4k3$GktUr#VAs=| z^5G;NtEjlSwqThsmySn3I{VK`L#;nrAbmg!}a9Z3=ab*zS}0wo3q(1P2R zZ!_G}=Bxe!pSp|0ii1UL`EH1}hn^hXF-{-+;T>vD-Ec&xa$ zaQS?VU77tMm2eq_hnfTnse#AZiEBm7FYrU^K_6L~3$>Lb>_j{8Sdh~xFC(+8TsV5gi8&lA$J&RwN^k*s;_HxoxQg-5o-M zmzH!>3s}m64)AWwaBMahMTO|Om}Bg-5{ys4|2_J4pzWdYq505Utx$X(B?^F{y@5=L zh|LXE6a0W-KlH<88nzBihz)9z1QtiD=$Xn%6(o%NNfva_Mq@aq=oR5bq)4MPa>%L0 z%At7_Q03(Zj)qUb5s2|QUp#3(=MFktbz)4=XEuU9pRRJ&@C^d>md`0Z6)%KEEb}@F zuo}?tkRoJC$&!&+FKGc?XR zY>HsFI-bXQjV;|lL2kmCfJr7#=6n#c!kA$uiOZ>oEt(Q!CIaZ1u#WD&@WkWRCuDY9;SPD@lGifvNL z(FjXq0?F!+jZP7Sy(Din7?>D!LM9BZr=rpI&dJ)uGMlhNTM2vC<{aa+$DU-Im9rcr z!ARL+_oG|&BDA?_a<%(hYcZ=6qZt7!0sR6U6Jq$WaJYt1E5|rDtLDI$A;PvSht*PR42@B7SP_;D9YP6G z-DMAg_g?fK>JV~kY=a)SmY~u$T1^pEbD$F+j^M+j{P&LYUf4(@4yfEYYie5Y?ori0 zrC&C=ydOS^>$A!n+V5@WJ)T1=^Qa#F@WrPKGuUQev69yL4Fo6qK973rOOQwR>FWJwc(W#=;OsLIEhBHbo zEV8w3hrSx7mYN-*|7;kd)$o<^Vg1-T{_7-tA>P+5gnu^-xY1}Yw`EY^A^XUe;IH47 z^G-Odmrx`bCSg8QFP7te-Ez``mxCy0L%xieQuqLWEc05rtPOxDO2S=MlAieAXNJf< zrA5v`UaP{WvFepx_as){h;&M4uSeI)AmamzcB7rrw7^=}QmTNyxJSVEz#9awpD z!@2F!0Cy5>e~Byb`P`*qe&h3!&9$KiVh6)FE)GB5aF8n)lOH-3Hc^sMyK0q?+}gzv z;7O=5mTe-bc{`?(N4#}nX`!T#B|Qoz{Q+-KpkDEFoM)kYK@SW~c3zzkT(i(fb>S5%Lq^H(^3^;|U3{rjM^(?;N){P9% zCU91vwTa~Tzv(u?$D{)zORLt_Ak;;Q9$n`pY_W&K?iu#Y=AeJ8j_FqaT3qP^-hGo* zFn{)!N9f_XW+fI7sY5QYp0yPx&@_~b!tkdP8Xa-kig$oV%$`a;*)Zf%+|-ZlN7#5E zC80Yk)FGT32^C@AHum}H#H+P6eK*K0aLHHuqP)b=~h9WTR{ zxJ>OcHFZQ93Ml9Q{FXcssXHk8G<1(W%4vLErI%VbbuwPzq(#l`T>qACNg{Wazf8jA zXX3SB@bsY5EaqH@|Hf3?dBx8caDF4#-~n@tFL^C1RfbidWALO$X*jPWxKb$ zFWIHVQ&}l^aN&Gf=7j`le^;P9kLIap1naRYFc}pn76ZqF<8Y^C3X?7sEl2`QSG!9t zLM6tFaW&}g&eb3s6+q1!)`$}@T76Ui|Dd0R!e22@xnQr{Gz+@f)qHOf##(t83A-^@ zKR!LBXKXaZFt&Nzp=9)dA>(in+!lXKPo}2Hz3ETgwq~^_FynVIxrFS9hMm~AJucj+ zz)(yugEnn6=}_!T;`Eg-D;6aaX4<3r!8#{vNj~sz7F49jD<$g0VyOQeIm65hM+UasR86J6N#V5q@6@=B^5y2l7#8}n^{T?K^ zeZCdK4Y6Y2^X;lip>Wd^52Cl?L!05FE}mPL<*0E{cXKF+j*Ht%<~68UN`o{`@dV_zbCL2Z7=FYP6=Av~CV3 zafDo^kRkw%CaKlQHBm0j!zwG#U-VS`t{^igAI9s@-OcORq))bIi)yV85h-cQ>wcIY zbUvd$;D#{Cq$Sv9)<7cUZ?T<|81*8|L|xcF!H4VR3q`_wmzT>mvgc}ItTQ=D4&{M} z7;D0#3Z5@UWiPDe)3)6!s*QASi}Luq=}%g>BVp05)IrCC_Nl#n$&Fl4sj(H;@@&v< z@bcBTGWQF&6L}Gp!qb8`8V%#yMC&!5pbE-<2i3VO-`vZ?(xP!`kpWXF?3-GXX{uJo ziVzd-$-75a%|^Yy-7ixujsvj+dD5`K+yG#a+%F#Lsjp8MRXmc{X4#y_BRMW;JdEv$ z?T^RMH(XIr>8_f~T|p-9T6>{q94~^w2o6gc58!;MPCRZ9rVekl+i6-5)=C{-sYw%}KPW(<$8j&-EWP_9)*sp9UWL(M zE69`k#k!MXzj`UIK{`j@S~iCoJ%32~)=YdA0?zW(Q7}Y2^8|Zi*nclgm9D(Wp!vo> zXzw?QEZsJP$UF77#pg+=O)GQNoGkpmOCYc3d}@xZ7?!nAd#U(1I-VRzK%_-v6JH0pLn(V9A#1R(FuaVg`gcv^lYI)bB z)F{s;uaokPI1YGLc@%sstJaxl2c#!q%RrW_$PaSawKjg#VZMnGUEM={JLg+efoN>A zSY#nV&%%HxVSK8iPvoi;LxG`!Rk>QFmU7t;jIy1*g`Y4)BvIMQs@hN1WDjn_M#}O)_ZQ^iIBHAWtK2FnGbUEeW1Dgl!{m zT^RLvYGheNmJb;zD{$t_L&~WfZkHogX8}1(id&dBx9clUwgf^gjB~cMx5c!_b9wH%cl}!40(<7lu54EMD73Re_otPjAy~yY> z&}Ngjbl>Ah2DcO92OgBT9_Vadh_C$R6=pHXsZTsxG!>%~bbcUSHqs>9^}^T~f`rdX za@3%Y>nc^%jY_bA4I!y#`&b7{Oj*N&4r7x9<(|>oqW8s+c6&nn9`<5jOFF%n_@+b^ z9Wg(hqFzjr1oogd!OZMXZJO`@cp!-v!~f&A^g29~3sj)Vt-7f;JWASlC7NVZFyvHK z3)Ps|CUW_|BYf5#KdhaGY$WW67?g*Mhmz`zcQQb<2PN#n7%HtI=bYxJjGlh@<%0cJ zq+thNr=$~JtFTC&Jv1Nu$H83DLi~9l`)j!`&11U7>Cx=dPLj}Y8{_z)Bw$CR=vcnN z(iQNS;k;IYuDSUEXYrRg9RdbIoKA>lYYblya-_k0$gk-(@480CTlVg0t(0Y!vq0r| zc~k<-hn&zg!iFXSJT1UC{*PajrxlU~$!40ZTYAuD%&90kB57aJJp&rIrZT$K6StK> zhoJ%$M2cBFvb|s_pSr&K7)CZ7vCl**BUGW~@^RUfG~qC3XxmGRpSW}&4n$$ciE&|E z_$n2onufV0Ug9P+6bP>O(xWTF+kcZFnNILYqhgF&0FiBE!cSd`baP)LlN*v@-C zt%OR-sLy=#ncsivNS9$%er^&=b8q5k`@9w~C$`+D%l<$}QJ+lD$LfgNZV%;EN1$V| zH>78xurjuRtA$}1@oXK2Rd6kV%*E;yC(u-xH6roIClE|*z54$V>;q-hsHNw~ZXf>M^PAEa8dhZe1i($0%>L+16al_u30)>(q1U^?nbx<)cfevY1 zXUFHfR$1Cxov3JvOFFc!^M8tW1`FK7ror0eYUvX;cZK;xh2 zXK=qO?5--)4^U)nyTh3IaH;E10y~rapZ7z4CUlBs^NZ_t?SS+7)gmTRqhJRd6f7-268V8=b;uI$%rBd4nXM*M#OdVn*&-9V+{3KgbF(pHrTS(v zknY=SZ+E3=FRdLp&*rPYx?nuto5JF(_3ah!m7R`^?0AGmOAQcH5+?IKQxFx<2~t9p zZ5lFz6Iqno`=hnPj6AD9cyWoHXfGsL=~AYl^rb^i=8w{k;}T`^ibbSHAIp(6y%%1U z$|_(u#GVr?-xLrpSC4ge$T#XrfP0eTz0|0_h*-6XFNUUi{p=P;eJb*ETL$CyhyvoF z!)(Fv=AZQRNo%4ZpYN;?DMYM0Dx#WZI2ZVexmBnN8yLuKfh*n&meny&?=&Xt%8?EB zvO^Lou`iV~;=xlEURxaY9Qw^+znO2Agv+aD$(!ejYSwUarxoT{)s}P{)-@b3mnxEP zy|B?ZL02B>qfNm;!t|5ru%^jGZc`j}ST>LHsT*|wL`ZoRanqZH-h6}Ij?qnqApBHqsqjjU1cZ|d+mXS2jA`l zUYo6f9_YS4wWX}~5I~i08YTVYW06+PNe{Khp}yZw0v*Jw(KSr+f_Mur%p?zzKVr@> z!0ojG@YI{nuBs8}Dez_n&4sX{}c zGwudP-MXG#dOTO$_i~g_TO^!YDV+{|^7SJ{;kGC?Nj`#~M@M>9$<|qw>6&qEnOQ*_ zD>5@yqZ$*kHWuNRD+jvBE_po`4h6N6d(n!*^?5Ew zZ(qjiy(9N{NC#axn`{r=yuWNVCbqd#RcIxb(4#iRHTt!&rVs}auqR*|COmAhu*7GS)r&2 z`dC@OG#QneeWbm@J+B>;C7p=Z>EWo=FO=gmlJ?bd-0tYu!(LqBf79U+`Q6e{T`0=xh1Gm z3<^4ARPM`;7+yr=RcS@~YF$>c5yKvYHFj3zG(seQu33~%sq&?i0H~7Zv#T4Y8x@-UGY(@y&gK5fcY30@te_UJ zgvj|smmgJRR^-nqxns=wa4mA-XqssiZAc>4*Ui3s`t$?K9~aw=S72%QRAFqK^d`9% zHaWGl&DSf&F$aXZC~GH<3mmKh!jbKHd5^#vx0hCB{Q(ILAjVk`s;w+!+FjqP(t6^;AWZshfrJFWEx| z(y`(T^o7FI9LnFah8Za-VBuma%KGLBY9dk$nXVCBc2j_ zA+Y*TRx~>&#kNyl4VU8hFeRv{L#xp9qQ2zkXH}kRDVl|$*>ZJ2FOd)w%*y)8hqa8y zlSz^_JxAMzEq~OfFp1k09a}bVP}{D zIS!!|D=kmpwb7DgZaxR1Z1>6l6}xyS-f% zfZb~F2+J6*nVfAH0)coV<1c|y`-c81(Id@CD z5!fACXLQ|?U3fEe?SiYaGnr~SzAFheTV)LC>kk!G%yfp-6rBokEBT@7o8G%X$19D0 z`4>O?OoH`@g~Q#B+k|!-s|n)C`%|F`B2L9p1&WxDbS~cH=g~*Jz8-%~ zd~Vp#eNKn6+A0W`n*4}3p->GvcR391R!{~ESofR-L#@Mb;Uor3<1IO`iHNIVu_P~p z5exbN-NKOwK8Br83qR6m=wi|Q(0EVt6PBs5*E2AE< z)z7vv5h||WG#D%C#tTMf`@&xZD@Fp>=^{$JyXK_bq`HRK$s&*dGy)~~Uc3m21`#bB z*RUh&BCfQXwAz-V_9sZ^3)BJK`+bii;P@B_^n7gX>Lq%6KPbdoM1&83Zs2->{Od$9 z>dVxXJov2%3~#mL_{1_t>AghyBwX~vvh!(C8%Uf7$JNIqwj2+2j}7I)byTcjJ@k$2AEUV&Bnx6a zcndyPIyUAoU9%w3<%6qq^|DF@QSuqfX;i%JFJg(r;3j|>NxT}=+w=Lxswj5!xQ?=g zw#;#NA@G0RLgE9lgd{cqTkumw|Hyheu8AZhKqW-@3qpPnFTyiS?2IL5Z`p!P4UN^e z_ymnUGBj3#7#{VxTyPbyOCr}n2tDyIw=E#ady&#yg0@rEN&6ol;EfQ10&N8ytYd}+z4*HyW&B0L+Sgc zbWTC$Z6n?A&kd&GF|&rMy*HA9C8iv!gg~P?bc-t8mrHYpuFm%DD)1hA|G;h-{azrw6@?$MZ=;$CRQ7Yi z?XRD(Pd!=VdG*WR`Ruc7t)d~6_k`?}Z6Nw|ljJorv`&m=rZL|o!a=`;i5??B{*Ya6 zHe?A<&#dlHwU8>epetd;ykeLAK%AK`dXre|FCr+7iyxiOf_1rV#`&7BP_2tG= zub;I1Bvzu?lW-{O?^75kw9T&QhvulzEwXjDnB}ri0wrE-kYc-^HfZ&n(Zb0z(}l7t zoBgLB{Mio}5mOeH^x9;@5Tx}-iLZFMZ4P}_)H@z3Fe=-%S^&weH+SR#p@E!#`s1fG z)qOeLo`+Mx|HkX^0k#8uQ}gVQljB92?+uTb$!3J^@VoBtUaN|nS_8{U!b>ovXtMN` zU~mDfguN-0$*4tpXYcjPDUm|Ee)zw>_1R~F4e@P2B*cLr2uN(4pe4hWB`8BeWjug7A6YT%wztJW5fLmHLv07H5XQMMWE=y=6_y|)S#5h^+c1p?ljkRlemFzKPbuJ(+4^yCo*`cF!)rEO*iH?F4KptX!2L=6;RaoBwpv2R4P72D1=6g7z4 zE%Uj>6$lD}jBg+|=0)k6opWC*7ru zT+I*JQNZv;c1Ro(1#ChPH%JwR`H(rh#Ly3WC&qH0`IxJ#FI?!JbdDo`2h3pmsOXL_N zv>i^pTquRJVKR;n<%I#^Nzpb~uTR&bD5R3aQ)n%;1rpSIR*KJ4y}Qj)d3T`0Y?vm$7|7AOJzK=bTmgT zB$Un~3JnSJJJJV70OD2BKme;8GL>?GZ9@JfuIf@oXkWU{609nLzTrQ%q(r|e+yvh0 z@IskuDUgN2G#qA6EflOqY?n!_*I-#M%SvF^ZKqW zk~$O3%E4}Jv`{bXUucDwZrnVT+>wC`Y(d=gjQWhJ#W<_MT9O`Z*QqaSDT;aF!pCXh zKd-LsCLn7+A_x(216d6u#k|q(b!SHEp37mcaf*3tnM)*EpGmRaP>1v*`)rudk;i53 zT|~8v*tR_^*x@(~I?E;iP(;L99X4I zmPH2TSYk*H5{SyHp|b*v!sI=tge1h~mTjOWz$}2NSJCleLncZVMQ48;A4ekF7yJ_2 z+8P#L|5bBLHyeS282oCi^O~My5(-O~=qi0m>lL(%3WcZJmKL@bGxys%TT!KkxF@J2 z1U$*aW0uhHncUg-Wp}w)$+^#mwcBNflE)Uz*jJJcbEWkuXSd9LJ716%o*n$P}?{oXJ_I{hjw=KUX9dgev*Cg%%b zNvoVvUM_SX0~Q-^J)Q>h@|7$zxjznPHSDsQF?l(O&Y`K~bP2EUzw|2zCe73{4AY}T zf5^yUsqNl0t^+aL^ip96sLQ5c{CRza?Z`{MH_wjoB=4G>=ff`h3RC+xzpdY3>RoxU zvQu7{P|uEySVu4#G)|Y;)`nxPugCOI3iiR4??^||1(tO!;41Edf$E7H3AnO)>Z5^W zxUc3TKpfP6;@`T1jNYpmsqH16WK0Gb{g*R33qtAoz9TqBahH)HX|HAEk)B9K#~)-2 zU(HBxy4aTzowsLnrK)YlaL~rcN(&-@rq7g4n-YczdFR|Dk?MIZq9;?wqtvt)PdKSc zdc2-tB08?CGDZ4GN5)b;1dkm*)k=t&Oeb&z;7cxC z4CqU3+1{Y+!c64i#&%WNWWV7CLBIpCe#{3anfv%%hX*6{>c@tcpAXTr_NbOnd0nV_ zlXrkFT;i#1I=-MvNc|E6I%-?LE_O(IM!f!`*`5jJdd5M2RTy~QR*92WZ9c@eo#O_4 zR*iJwQCE00;=L38Llr<|-|ZkbdbDOb;~jY>&274VZU{_z+c(i|tvpX*AoJ4CfD+c$ zYUq9~z2XlCZ7kOH=ei}j?G?wKnKKbzkz!qeqz5M(xN=ITs0xI$?(7mcy93XCAEFZjAmADtm zs&Ez7_w4xl{_J#oaNN0;3s0I}kWNVJ!`8)neesNOGFL@@Iw`hAy=OT0mqa)>2g7Lv zur8q!5+kMSf{_an(Qv5{8M8 z>o9_`5{S#M>f{@Kzmd9(;3@dFc;V9J#7yqiNS4LD(q}3=vuAlRsS+GrkAA~+`37Im zBZ6Hcdzus7uL$?6`Gqm)gm>m>R&gl}M-E*iM$D;hCr=y%p{`tD`2B_|NE^esYbzE@ z|Ni8$AFUp!A}iD>od<_U_i0;wD+mL+P+@+U& zt!aVV@Z$rw7ou!!6!?z>zYb)CvobVUZW|XSHO_ev)`}QH+a$9hf{v|S5MZ>w)lqrB zPefoNfi{+22*r0KSwXFdZ07{G*hB6J&8Ee@S(VK;)j&u0`)8VeKoBNGx7r=Sz2Cti zU;u-&EQQHxSv9$Cqc@w`yUiTj?LT+O_It`J0g&=vHq1;Prg~6=0CIX^?0LOXZn4au0iSl+DWcDUW?ym<0V>!wk&#&G4 zs-Dw}`0u~{*=IxzfGK~>EQTs}sIYu?H~5^nKICWmyDiJ@I)!%F`bQHPY!Q0~A4{)I z-E7P{P1ok0(N7kvNcxHCM6r2V8hjt#?^5DG)I>E#LvPSokvv+E=g9IpdrL@qCN7zh zE_Mw*WNHqvvN&YxQv3Yl`JT-|_N=P-R zD5SobQmY4zU@x5ICP51@KOq~XCXg?^osU-9O znHO^4YMyeGreY^c?e@oM0;KV*$Ld+_;5e57l@(!z$6QMZL1V+Ny+^aTp5O)1+>Sx~ z-~(dM*JJ|^i_$D++(0W(0p^Tk5zN%$=;%sH1r)FOwK9bpgHiTqa9NCuo_%$lkqLq zs5hllp4_<(*L~5QYIszQ=kyuy{@I~JI3${SlPtKoW=+8LD$37M8vhj@Idk|nYffcQ;nYkHCl4fF!%a7@)z;cmIwMN~w1R^IcncloDqKW- zK*>D>ab)=hb?{z+>rR!=m32)|w51@;ugriJ8Lcsc`ah?=a9e}%_E2Ge;om{s3r8D6 z{D#eK^^`x;YOZF9ya#ZOCdN}*s2=f~7SF6C2QgxS6=}!17U1=`p`E1xN33nR+C@ig z0iV;%lLQZd^z;lc_chE;EoC*`b9c-o5n^y`c>NeP`!Q`5pw)8KPHPR?W1F@;1KS>4 z;jZi`JxM^@Yv5ZUAE|VXa((N3(#O9teV>{RM@{ipI#g$Nc{`Hw*Q9-QXqy73s$&~i zDOZGgAL;CwmW3ote`^5c&_twgGb<>deVoa^jOJQA(N1daJCIuz`7&98P`n5ptt9_y zf){R4ALko5y@HxAHYA{#R@+H+1>-|VH-bORp)=}CrklaAU|S`yQnbZM#Q~3)Wi(S6 zJka>3KYjO(b%iSfNHZ5-+QAtKUcCTrC_v0m6h?aJ>MBLlaa9$(&SFcxv-q^JA}af*V{%imt}0UAXZp(w|qC$*Mlo`cc^Ys;k#kd!*e$6(A1k` z_;NCNsab7Bb))WEB-P&zG940nNvR#(v70CDza7Pfq@dEbWtZQir0*uh+X>Rqfpb(h zDf!!R9Y;vnR>xbB_;QrV3G3s9fo4{gRcH-A51k))p}_&VtToK#_h0M8K4|6*&{sg4 zS)|q9j(tYE*?<2dI)ynvZ3mI{)68Lycd(i@1jO4`7$xo%?+uV45^%|Sp7C$~bP<=j0=&}? z?h=4UgVpP>uS9zb*~0yBLi97@$xbidgSA+PJ+(XQDJM;$>`L`aGiwL7XzJf|&qNw2 z+2G8;qKP|bKigMVRjvp5dG@4C#m|a;X^j7Hw=_iI-~}Ft0`O-_IS9E!^B8BNP%}7) zAy&>EAb+?_vg@n%iRNWPCsGHET(x}hFmLB-HbKh*+3zwb}q99cSOgJbwY-h8I;NoXF}4ou+d!K^n^P={g7 zrO)U=hC!gs68i83x>R#i*P($r%54@s>5k5fz}f)MSXb=R?gsXV%4TSP4pUEQ#l8Gx zrE7y*hZCv#zx%U$ZPkHgvy%N0xram5u+fm9uH31<)x+GC;1)6jU%s!^vn3ES8$fJ> z*`R*JZ$C_$4()eYG)$t)<(hB!yl3Bqn#%DRyC*GuA?zcZl6!E%>2`|5&y z_(qVSdMM1YhDYOVVc{g}1?79l{jpAW=Kc zr|E5c*NJf(H^Iya`;1HCmy4-im8{6MBirz&74-XD;&((@E}QDgMR5=)nOKgC+mtbn zXZLyF_kmHZXxC#muAVc;kHL*IUW!D0j>&~OjknU-0)A@>tk`iw+lZ_MJqhKTARyDx z->~&uNV^g%^gI_7S>qK-#nURmN;XMfs))kz!P0$(0nJG8#26Vknhys|{Ws1NJrpdwBxA*6~MnT=&j! zU*ttAqK0vnV9YX1;wn7~9SAg9E=OK4z%dRx!U-oVyx}XuR+#!VkEgz8{28vlw$zsF z*i+Ks%GP`@Om-h=VeZZSnSP@``T1Z|0}B~J`K47gz<4n=^igBJH>*Qoez3qD7U3G4 zwDg*$J1x8phsu+6$jq!c!nci7z6)ijy9OBmPZZ&rI_@K^>#l1%>yYn`lnNUYr3xcD z=qXj~^mJ*oK5K^PhGHR5iwx4GC{vlGDdn;)tkuLuQxK7t)|;!V1re~^>oh3MnUp# zPh)yGY=W08&G&T7lNknejkji%;+!Y}vjMz1j^Unm7~C0Y0+Aw%`zn3WNG4Hr0Sb^Q zWL9$ba8Cs2pLSy~@nV(*b~lrUY^oYs$h|6&`G5=eUMJ9wecyI8 zPIq$X&RV1rFO-R_Wq&2Ci8K=T6Fq-KJu zjMst*puxetZVSgrd1krEq=Ay)^*pVXZDqB(44&k5danzX$;3&nq3iUdW zhIJ61`Tis@h#zQCAlmwLg<)7%wV9uQjXv-s^Oa9t;u;SRWafe2*GC1()7;>p721v! zKS0T2;&qb9fY&=}0PS_4tWRl~_J2dYL6XUL);`S(Hfy@3qRycY;H?K1?k^Anz_cE; zfUBpp9QB`QEZ?*E72RPLc1HBt?Ud3dbwOj&lEKdSmlO5LAM?9b^bp0AABqp<=f~$$<1frr%OhRmYgP?d6ME}oj9?WKbV4QbQ zisw(7!|_BFt)5dMjUe5Dtlak58hy7$Nz_%qK4G{BR0+`FV3;YZ3vlV#jRiXL9zd<- z^5Y@Z*+Jj6I7nCkq5%lx|AG}F$? zn23cm$07%{8cdMBDr0|9`5|LD3Y$6FR?(uX$n@YHXQXL=#+%Is=&hJtDbNj$)RS7| zw7Y1c0`S8TJQ5PgWPuR6xlT3~xnMT&?gKv1#~Ru<)IhRe%GQ$5(@9MO%aTLOecB#m0@&xl zBm2{X!N6-j-E8u9oFh9BTPFCByIKdsu$JfaYs)A(I6-75w%3yrK{a zbypHdR`!!A0Vi#QL(u`q;?Zk-t=`q$o)lfJZq2g~B~L28o_nqEvEF0ZA?;dS**6*w zvqRxFXP1MgxB`#5pQcH)p39q78Ki2vv}c9t&U9WvBhnzUhBtIwOqLcIjOw5KM=h3H z4La65)fzZ={ZI!6`|fkKRabD}(*TC}YWaY;?jJGi+tG5y;wXXpdga|2+#89z+a1!0 zpO;8m>Eu@ap2T2i;2Y}b4^j6v)b^aI8&%fPM5(p?^v31}^X58#c;%egJu?WR@@`9q z|CUxb)cECGB*O}HQ{zMkhpS;*D7Ck=Jyc6Jk3Q03me-l1FH-*1=J?a*ggLXP5oIV2>v%(RaE(Y&&l4#oZkqkCzfm3Gow{({qja?nw%p-BLeq&YmwR8~m z2lo-zOt&gc>qCbI^_YiiP5HNfG$7gap3?Aw!n+S+*9jPN3zCl75cEao0u}Hfc zZ`&jka`aFxcSC)Hs&8xq%Z(BXH{_1dFqRZfuAp^#+MpCfxE>A)IizCDIx`{WW z-gVE6fFK>n#4IPHF0olL|Je^afDyC98!|`tGY2El4&~ODk+gb_y0RP?B9*Q7ucVgg z{npfSh`%+pgiOp+(_Z&lReb&Dklg!0HGd^}uu_@d{^Z>|tTzzvob=@bZ6R{GfHj$y zWZAXVp6o0#wrJ;y9MTPFdVp7y?3w=GR$1YHSJfbmXOV7v1nU`{9!xzw`#B)}QMHd` z5CH9pl7+(sAdkv|trD=h0CtL1kLf(~De1MV1>ztS4lY;dscP8IwFW=VX0 z?uQA>_b2HQlw13{y5O!Ay8<3IW;p_DN7XyvLA8LgKKn7W>JInP)J11iok^9M{Tx}B zLnRnfX$xPBV);A#R#LfhYRz!|YfQrgO#XUNXd-XZCdY{^e?iy;wSEIHCh&0ovR0Zx zdzLh@^_zOx!o{NeZ$nB3i{hW!Udw-9O5;lKRxBKkN$d6us+X? zwXf0wGVRdH>-O4^^_D)T#{)dYXsxLeAj)($I>X4KG}v@|Lt=n>8tfKCbA)>SRl$Mf zF&6h*(z-0yvEi>lfr53< zE{pVGiYG+5U_hK{Wwi55j43kY)5I;x+N-MGL$Snmxh#${g3>vsq{`%FfV?*ksFXQ~ z$ILt0bS1Bb=I;yDpDoxN)ChLFM!s83KNuR~_(2wXMsV?Rd%3Gue5s2_!Z?p9jwQ81fP~k1gy$C}$16on-D=jmqSobu(veQt9Fn3HNh3@9Vt$ZaQDch+ z`4$}|OyGX6KMS>CiZ0!w{Uj9!Dfw-19-7M-`a&W%_jm>zhqF4cBQ0$RB}anj9&uNy zK()^&J()I5cM^)@$z-58byM)rb8U_Hj$Xil3~S0<9r9|ve*irGrgUnYcI=st25p6M z5cR)L`NFZ*Wm*LR?O0^_0=M{%c#}3eo|k>+s`D9#BYwhrHuL_Vrr}EG;JQ+Cf?`rI ziS=x@LOAJuJY(it;L1>8bJbA;>vQk1JLfq3CyRM?L#!EMiR`^0Bke(|oh{#J=$T2z zCN0Gco+?qLG|6hUpLe)U0bf?&9#ao>1v99&}Y9yzXHO8?;F0wzL))TKFW&$IbK z2~s$g@1Z0T;sJRxWn^j24bjylxB^}i1dtI4WXfFv6k8HYMM#1Mi$&1Ba$I`_zYA&mg@aTw|tN}(4r*g0Uf zkv8nTb^1gJUQoOkeTesD4;}$bE{F+Hq?p{@X)^4LN$$BASeMc}c-?Q(f)^#1=`z?n zSvnEW)s6p!%-X3xDjv+pMwROiVcHrmKj4+3$(W0mzxc=BJ(Kog!US!oqs`;qioZeR zj?JzLO!Jh;M>-TvfX`)@E$Z|O191V#yZ?^gxWQ~A>|9nuozST57NFdRZd+Z+up(>j zNf+dO1O7CIDq}!QJlx?UJgmz(lQkFC9-u_s{<=Eq9$F)Hs{gbx&J7aXySt8$YCI#@FRwy6u4bH6BUTe?+akz)v zJVIla!a^x4=z(iM2Y`?FI!_w(`MwkU0rNiny;qBM= z9z3uvxJ*3(zg!q&*dP6e2-`ATLTE)Be2@w|U+e>k0qleZ>xfK#5s4gTQqbvzc*K5i zNG0ceO1|bTE^r^hh|9(QVlWJc{C4aF!9&2fyr@OOKj82K!Jrp2p#klkw(-yY7HoVv zN4RZ0;fug7=o6XjSXHujp#I{bwPT$OR&duaa7SJ3ffujX&k!sSo@{HhTT^d%iEU|8 zR%R0v#u#>l0JezPy!@6j!jXg8&PSJV z#%)_ZPU3BV-Ux9$H$1m81$C_n)WpKTxCoJWMVobYq_fYKT2UK);MRJy@h&Q+uGEb5 znP%&TR2#BDa|4t&IzFjFsQ5OeBZyiEHqlrF@`u}Ia`4d0cchUOr<4pC1Kg^@Bz(yW zT!qt-OBUWfr9(TOh;vqZ?Ud6JB!lEybf4Hs6&2++g@~lM-X#vnI@?|=>;oZr(oDNuN{@CZF9zVZ) zSEy%_7lSnl!$+zDVsXo51A8}4L=WsMkXk)KYl5nizWl=iE=IeY%y`#zWu`+^LKFX1 z6hLz5&uU-NhGZ}yl_qC=>^3(vMh(v1z(nVlSvL! z199Wr*hO5*DgWFW26bvowiPyT-03uW9#kNy;+7>Gt{kjXi-c{iCRr`&T<1{TNQV>0 zm4?Fw;~0n|@BQEdggA-2Cgf(|*z2SrCGlHu>%m^cKH_i}$vQp?Y26YK3**jG* zc|m0sFTXj1)6I7WF?=Ae_6yv+6u(Ru)Fq@V;JykL%t2l9wxz5=zoqg&S60%jPZHQN zX~B;*aA!%A2NRNDz3>ofXrT zi%}*Q$Z5f3al3-GL*NL|N({isx2vm@nN^^DDM9%H7%pbwyqC@O$859TX&c$KV`jC* z2#k?kZ!L5^-=x$__IE-&C`EJ%p;kRiPb( z;#U$asz8TxR&`IzpHWf)Z?C|;oRi{jl8lApmQGy%d0l|Q3%5ORG=5S=b>^2>EQLO{ z4U}R^;rSTRF(-LrIcKzR@(gb6b)z)F54@r|Z3`F-ldsh4yy|pL`nn*wTlFdb*5Ze` z{G0-XK0hBS#)-(!)mFet8goR%w%!EX}0XLP^-490SSp1e^^v7kZ{)z zuc1$y>XS(aGrXVX9ondG0g8wN=%$8Tgt5u@43z`j-{M!^c9YI!0Kufm0OW**e+_?G zbjGPG+FXn~^L1#Wts!FN%v#Z5* zuyR^hr)kzcS$bv*7?<-#3&-RVbM*J$0dN!Utmc{Y@w$BZ^%2wwG{XSXKj3)KEThz* z@RBF?0&js}2S0-)6*2jfq{eA?q(k=i-{JiF{a>f`v7!^Ns~HBuI(2P_w*)*B^2>v} zU}jzv_51HywPW_g8fWJ3{`@ur7g%?{|7(N})-(x*>QSjj(gKgSr8@Q;Rby7>p22QF zf&Qqt(vH)o)=gyCO8}}uPot7jjf(l0mPbWK$ZdJvE9D(inuL^>*22rLPm{E|v~71R zQd%Enb9^Ba;mWvQDY8`zy-P!IQ=s=+1N%;WPJjQOQ|5Svw_zK*j0|o#ud|J|PsxDT z4%1=|&an{88J_BNqcXq&jS=FvVs$Dlc1qjj%w=X*_z2T_&43;T*yu5((O^B0O4X8z zMx(Ipe*Ycx(3EUe>a7265TD!?&yP>$Gh?kGhwDz||Kvw+y;=+S0?l=qSu+HN8k<+b z3jE*%ax0HpQeWS!F&W!~4Mi6`&=!Ju_;M}aJ2!+_!Sf@rl2Go}psD)tLnJmPxH}WM zUBeFn$kq^R&T6`338BtY(GOl2aUqVy_i>RB;!@$j9OMTneIci7=|03Evjl5d)t~$@ zEJ-qh$l%XZmK}0LsZN*vk!_AyqyvCV2?(xT9HL zL5hs)g?VkAhX{`d}F&09zT;A z5;KTfqZ%DGn-r7|7|!r6hX2ho$DsinYt|3nIQD~QgKK7iSxQrQlTQ*MOv6o#ef{$N z9x;N20$#z5H0QyOK(=lOK(e@}14(FJH7|Vdcr6?GiT0TGgdzAyp8;s{`)_#UvTz&|cz`9AJ=d6)+Hf!5aGs zUZf>Qozn=Gs@$X9PB9fFK{hx@L-w&*bi>la^-(f zTX?7b!tANEaGiH<_$j;x)Nu#N(SsM0WIVGMc#&uD2`Ksl{hlI=s#SPj6eO2|bbk%M zK9QJA`_LhYftA2R74KJB-pXt_@xJ7%tKdj~b;991er10JQS1%buYSQvkGI zKlfq4&LlS-L@uzZ;nGVD$#DZS6kXCp&r54L69ASrnJYSuHJ&sti45p|)M@hWOtV5Q zsx=)y9r)%B5S&)zycZ7S67cCzV0 zl1U-pBY;n{!wyfBZO7Q82v0l$#uJF2R#piv;)z|C7?Xfj+cW9wEkYQc;P!>Mrf|}J z2ek)|t+lOK8Guv&7%Qtc1l|s2!*c~j*H}N_HGcf#ckeW=>It{4BVwwhN?aH4%E%8* z%J7s;qyN3DsunX|eWBR4z`SGOSG3U8Ra}7sChR+fC zCSN&TJk930CXjxBK+zZg9blOANoTPm9BxC0AMx_&-RY_S@lXHe$QGuMVpHV*c+NSH z9`h3!yXnDv?=X)je8d&)t6$OP_ejUdrbqpsrbV^6^t6iQfd%$1m@^48E1>iS!CkcGu~FC7bZCcLB=c~0W4mh6Bsd6?+Sp1+xP z(Mr#QINp~^c#}$a0~hHs!5 zSPfCw6G@L7+hPW|Z)-5AaU0l zzuL>UyZn8c9oLTFJRlPcFW_S(VtB=0((b4fs)0oiMQhantM4!Y-P;9`ykRPkjp=A! zG28fmfAa3#mI)K&M89``sJ-`$=H>fMN@^|4TC!EPX%3F73*IZfHV-M7n$ip&Zt$G` z#!J3&!-o)eLolFI^ATWECvgY_a#1JNX%O*kn&SaxA!~478|mwqCsH5aRCs)vNdA@S zIS+B*O6r(zvT%XXrh9ljXmI( z>?-==>E+j@m9>4NsIrHrlLQI)CeLBAxMQOfmTv85qF!m1A6eCI$8h?Mf=L`1406T~ zip$ox9IV%-S&O^4(CDv48Hxlh4C=OSZan5mEKs3z9E6o!5j@dcIs9AdLdWA?;V$5l zB^Tv2L{}$jGvB!_(>sG?&+?2+^SDr!6i5W5R7@6+J*4$5*Z400Zb9~&bvXk0=Lq=9 zBk7^^M}R*<{1M@g7=I-AgC;Znbofus5r3$iw7%Ta7d>c{O-NJM)@z%ezr9KqV*7aIP^ zd8dCGg4dhl1$Ge0qHwf{zi84IkE?2!{7q9mQdBjt02HMtimRozIeXr`H({P;2aZD`0*^pr1NtiG&YJdkJR*d$pwmKb|xs#SyalUQO7m;G#YH`ODD6Ow1dzq|w9i!?P@Z?fc2QvC#=Jo+E0nRu`1?N{ zfC+sIS`3tSdie_>i~+`PmhRws#W*jt ziEs@ZxSU!;FbeGr^l?jtmsP7liV&5}fQ8`1(V>v@1PuHDsfg8c;uQ%IeK&I;ev?cF z&ha7BU6JY9UszRN$Irk&bx|uP`a+q34sBX*z7u|-Sc%Ibu?Y#N)fthBk7~V;x5#5) zAb{IC-XF7?u@3KBpFSQ~v3e)#H^~!g#A1KwNmeKLvieCd7}WiM<#B}BSum4XVx!@> z)b>r{9N`ZjHDRq2y)Ue!jwN*0XS;v1g5WFuep`O~;YQg1_U_#~c0OTf54NBrLae_6 zrK3{=+i$9xVLe+b+t60a_Y-hSaU?4%8Gs>xcTLWrrfw9_X|=0gzTYx(BOpjY;=Au?2e08SQEbwRQ-&delYy84?_!3f zu(qTsK2|{L>{?0W8~^)HwZ~0bY`T;6RAuOt4X*UJb$5bvIz9p9<5~wgLP&`&Xd72@ zLZv06rIJ>?XMP8uxaNQx21Ik&qCNQcbKV>gAy0Y^@72JHVCGZ!ini(bAV^8z8e=`B zE1|-abD^wMZxtRj@fLIKA)Kc&Vyo#8Hh#Z4_sa)B{D9)~!}BM$rQ_E%3l5NwzCes? z2@3|E$?j&~aO_D#=a`1B_y;12 zlQwd>c!uH5=L=vY5EIoh+7Q07us_oVtDZYmqyR~v|03+f-9|nl2^j;5^+|{S^B4$% zF=xSFVmYK4Yf^h0-k}v633U1tGuGxTF7s1#RK*i%!Tcri(c#>}(+kL{OvhDi(tX83 zUE~4bMZKZ(q#3{SXk(=VE|sDogudwjhF~&t+~n&XOL+1Xya~i5047|E2hL{r{a^gs z+Qpit02xeRQLTI)O_J5#-p$al(f2$6B^T!w~DMH#Zbx>5mI;Yzc3yjvtA^Xf^M)!H48kp=C>p9QQ3>gNli5R7G)pTQQSFUz;H11Zk7vxkYlA6@f-M zW49O1m*FYmYqOUEgcAk-{{r9gO?ZQwG0cK#&3GE^x;^#oo9fj!QQO@NLvOyXVP&6y zo}}>?z7~xAh8EqVut!zniXr`kXhGVFPaIN-T(3-&X*!G56slgwv(BXc2cscxqqB4z z)5flGR8ZT@8njkOjku4h#*?Y2LxObqFkLngXCI0b}3haa=3Lt17p&C&)Q-oKz@CS55X zu9iwa+Zgrh#qpADacdbkyD;h{pBW zSBvUcpMeL1rN2Kg72I8!a55+Ts1be;Cbb5cDx{w-;3Sl}%`$Zb!2Xb8TQ#V;UNq+Gjdi z1iXi3)xN>omC+vbw(?3%Gtxzw1qD?yf%!*mf5oBmqJlUql3be)biOdetssXVs zj%H5?`p3p9%yO&;FdnF4!59TxoPT!1eWXdU=@?WC8xEacVDU-8ZbvtXgV3{0Dz3CL4dU%39D0Q+VfM5sok)=a*=t0(R@_5MOujaW|jE^kA zkVR6>a^7SKkR^OA%d9X4xJH&}QHj^HM931qR-=`l_(BO8lh;~*Cu2ex6Z^HIRw~Zd zNXY1XK}JlBWSAJB0HO&Yob0pj_>u`}y|<;sJV^YvrNsnDfUHD4CJAuWbCNfv46-8?47klOYe1T#J#rFGtx76WI$I&gX-^ZU@(cpuW=_cRUt z9Gp#ie);(tFF%XacSK|C>|mLAK0IS;jGnz*w|%CY)EGZITFPE*J^G_OuzZaNmiZ6& z#bX%lWSM-{&WUi0qhr51=!0kn1L-)6cHZd}2P5gY>yl@AjEA2N%p*PKEZlSTn*{Co zbQ&;;O3z1P=vVni@OvSEXmL>$YJye-l?wNW=6tqi6eONzA~C@4h0x-vEnmKqV+2t1 z-KNMhTvKUbiDXEGWh99WQ2I4wtASFjWGAP2JtkRo$c>JeVP6+M_}LMswI(h%nw({< zE&CkdiJKIJ^h}4F`K!JI`@}qBzml+F2^qlCdP^rVrPcgTleEGK=6J>d4LZx!1c!s*np@|m6LI)m)+PzER3`e+%D)xZv?^E&`7OqDF(Se8b3f_y4TD8|5gh2x_ znxiQ~FhnCt?=jKvNoSSnbQNOZD7S#tf+vU&k(_CY(NV(n2nI`>aED zCg~yr)L)oRr?ewu;Z*fK)+ge&kPTX==J6?S(NEN^i)k_@rZITzwxCwtBLroeLbsZX zu%mfNF*}Wl>;%L-RL|7o^Mh_o7x~79bVO1P+n3)ysp&=IG*#3`xjv?9f6GWSB#b@d z8T|sX&wPbPXGoaXh9=KU5v&V?CZF8$P7>0zt4jDQHK0ziuHBvkI%lm-T!3QZ4#;6!4vt3r#4G=B0}J*M zl-CY7A~dBCiH(Z{bCT8W|1-$)21S9sum$Y_`=p%J99UETN?VL^rlDK>B$;i4FVGwQ z;92m3`)_~r?j5VG13iRRdj-h}L6+OC{+Zs<~ z@8@`wDHR9D&t`YRPW}9j=lIq~`Y(jLrEFO0YEtJeM_s=`GqwpZmEkr=`5Y`_g*}BG zs8};U*Dt?CbRTB4@FMU#GstG>bfA+erAB|GzbNlxYMx*IGq(Kn-mjf7_`!#gqjJD4 z`1pF|`2AiYwcvXujiMpSc>{Y^7Pc(K)Ohmj&5tFHJSqfyyZ@Gk_|g!5<#5rEfQs>q z|M}kQw+{I+9P6yk%4}Y~qm7AnBlvZtk8qaxu1Fafk_N&tT&qrB{;KG~%@_cRW+vQ@ znPU`>-+~8lMjS1oylJJF86w+Hu+0Hu?MH?`g6mHHc>({-#Rz*a0r4>kC}27si1{ zE$<_5{XQG*;2B5;;mIpUePMc$cGGZT*Qd_tGdXUbtM{Ylh9lU@1*I=Hv|kuJc-{OsyGA@nScl?xh(N_r=j&C zmxCgA3#Qd2KWz$l zR?xJejMn>)nM@W z;s&g+mc%u`2=OUhHIgB)0*5m2F%O?h+I=jalLw=MQOY@n%iTVMTs^|g9%23fJ8^Wb zWfLMRpmxn6cXj2LNn^`TEO0zMkwS1akLgYoWln0O_3e&TUaLP+xhe@T>#6R7n35GQ z-}3?dElYQ%U6a`2DChJ={H5Jn;d--)LL4M5{+!An-!Q%}F zJ59?)yjKH62eQ_hG1$q6LjV_^7*W`BN#C^EmK`aO8pw4uLKCEk(FdN+FW)z0fn_-I z=*wVUeux`WsBlzN|Dzrh^clujMu7P>@Lb377|P)v`d$)E zRiS}&^^~Wl++-h&yqxMLA#IbdwaoRE+e;T0sh8ackF!AER`1_=A zod7{_ZX;Fu0@1WgYdnl#YlGN$uD*-mC&eN_iQjuxcy;7z-+7~^_O zVkNWEXxxCgm{kXbSIb&ad6dH+>01-<@r;OqT#PDsP^fqC&`CxgLP~-5B>mzt9#Ck- zBQHG1<@S}<&{#MtcWJ$`u6YL}RT}E;kk=goahO|emiwgg8k|L4bLeel?i)&iP}LK& zM~;N>p*6DFCvV71+SI_Y4ZO2iXo~l_#$)q#=ET~xgr+3mf$?Ae$?)>W8!a6T%A6=- zDM-xtvk)dvXo3XTT0jPaNgvTiY7Ll*@)nn%Ov_707Bt0Y(hc%cYAKqZbTpV$Yrbff zn3e(%W-U0o;UG@p&mh=>K(_~n6biPfD7lZCm-vIkM=pkX=vn^awgJu;Ho%t>2FyzS zG!rG<@n6^g7N5+bmiUWV3D{A?J0;Nke}v`-h<(~rX^fxJyQO)$G-qr~vXJZi0fX&{ z&%NUg;_1^|y!}TI?+u#)Qz0*g!uex$R2)-h=+#dD{^Pa77vbZQ01D4?N&G=GDgo*C zWI`qWO7)#TU>H!qSby;RO+`7c)c*$#1AE8&Gq_;e{nExXv@dJ4>lEP0lvE-mWhZ3O zwBs%cyJ?#JrlI*vVgJsbzI#`fTT)Kytjk-AGzJrX8StQ#o6)wLf3Zxk{9RP*h85~f z&GGOFzp24#|AZR|(v`N1UR`p`kP`{wD(P-;l&e4`Wj^L7bpB>=&b^T;aJz7r2RL92 zkhMd4WzM`=X_KOGYjr*_?ZyEL6?0%!swfb*+gh_);8L}K=U=&p&+t$mp~ZlUa`99R z)gpZlRIa#UPDpS^iV}`w`0Bu$uG^A%Qq^Z*TfrTZ1{Iu>)yaxusJiXo`6jpyxCMKy z7slf5_kuMmh(*Dp)WW+MVppZu&o#`m&Q(^G*pSP?CVw=zAFHD4S zJa5z6GT24xsICoro{vNIwx*cuSqOhmL1;xp4t$Cg*N@ED^vDk6+EbForUMd&u7p2y zX%d=xkJ0iDNrMIw9L*83wd>Eca9YHqfs4_Y%A3`CkP}Vh&{Cf) zKP&RhqT60_T8Jt?)oFWJsp3lOry{5FmcpizR>Z_sjgHgA=WnQ-o*;-l6AW@#vUjAt zRw}Ks!e~o*wcOd2MumNO}${Y2mBo} zvgQ5ajKc`_HE?G5<#8Yp7JLufLBX~S^cB~pYeCjd=SGP@0bJb+RkK{i8q8f4_*QYn zw#Hb97MwOW{3>P@O$Ve2-->NZd_XUiVxLXsHf%_BV6+E|Jz(<`U=cuE(41pU)&bpO z-=$1H4>&R?5(Zb$@j?qa1v8UksH(FPIG28<| zf$}(Nt2P;EDIJ@IMfQi@Z$ekk4c6qPHJ_i3{}7w+6I{W! zKrUfW@CQo#K8iT>jz(Y8fji!coUtuvXMlEk9{}JA|Me0bN#f)1gLTUG>n)RDj8RVX z0KCf}rncqnb6ru(T$UVDg&w<-LyOJo2>=E0ioE}cCd1%Ia?E>AX@McI3YBgR9i9pJ zl$<8R7P|)f%Y8I8#(i3Y0}7Yg9NJZ+z&y!R@7N72X*{ffMj^GH!NvQSvq`b1gM~gl z=hhW}w;iH45W~>@GA)gTU(~U_HZ6kc=zJ#2NNK3$!hEV8+pb5Fr9JYIzSOwFbPiMF z)X~_g5=(AK^GYQVnS{1{0BByO`VVTmj*?CiT2AdG|1SCrKT8QL3)& z`Rkd2oD(9&m^Do2O>?2*zt5v(sY50RdBL z_zZ7#TJ)y|=K-&7)V_TAN3b$p{t@iOy@4%OTsaw{yvu7u1n8ajglE30|0I}Y4cK8| zoB&I#Lj;VWeQK(PRx3y7H8`ATFtF7=RwaMbaYeX-et!ABw91@1h%yunN7PIlhcqQd zjmVFzfDux`eFqn?(t`*zM&MZ?y`ySl?x-WNBj@7USgCCExP`8z7A>8#7e=wC)BZSo zaY#=&hadbuKY90#kGYTIK}TmN@T)KK7r*Gs-Umnoev%cuW;pv{E7#1S)a$M*M-c#d zFoHB(xXT8AGpGv7ysG=xJD}=*0(f?d8*l^hdyI|5oagIea2*@>Vz5+ljzcWc{)54R z*&?I@&$p$sQ)YR0VmV;Sw5=V2lwdTjR|o_&3X$CfM{)$VHLVIxy?Y|A7!`!_e!^EY zq_mggLs`BMcV#%QrM4R)iig~#DJHM7j%qkPMtv*3!JzwQK^$jn*L)4qG!*y^r%MSp%Mgr z(FG}coI9uOC{F=eM(R7xXpANvlSG%}P%Bz1=@A#`)0RX$NwhfWJ}`lON*noP;MKI) zYMNSx1RR^fgxZrXF_)Uhf&v{ zCbrj-kFcD1!>PMTUAFjzlT_PH(cyu#+mp&KuEHQsrEP)MC}4OU+tBzhWYLu7`-~Ky ztnN-|@s5tmEkCRQ*6gab+%2BPp*9ZSrsCK@WbsqF2S)O_uFm{c`m9nO_W?>BFoYK8 zvV5cEC}K(ned_?8z?xK#J*O_{0IYAmE4H^9C5U2Zk zMF27h_dh9sXRcIZDcjMG&!kzCk$SAo*)wfDt4V#Glo@znua_9xMMWB#UC0A$b$&wT zcR*zHZG$wZ5?G035DydNK*CX9-9$VnGFbzb_&Dod8|O$`;rqJVOVDOdy7SO&asEnn z{m?&74qhb9^{5t$nt`Ie?Px1A>w=wW$x5S%9#|1|fjZ@6fo{73U?Y>wC^rHEqIp%syPVYO)vJ5q(q)noG?E;EEoV<=E@A zkAULDElo{Zka~R%_VQ)h6y_cF0KYrY`yBt^Psp%gb-WlH<=g8Sia-a?YO-M!?Pd8H z2ZXT!RizGXqQgZoiX;62zM+Zth7P*%$&^;mV~+W@(Rn3m%0RV4^kk!fmEZd0a5$A+53n5q%V4z9o&Ca4X4E| z@WQezfB8*$Pulp1s2QVTOUSIu_KER;PKdQ>j2vg|=cbUSr%-f9Mhm-`4#GQf`j&}< zPCV;Wo!7ma7w@=zaMw+jkV1TS7Ba!j!18lD8U;e>N&maogWjA((_I(QALnbF%`tG!XV~~ymv^eQ) zN9yT~8|e$_?zmhwzhTh)hW=)L-)}4iy`;aJE&~eOjulVbU?P#Q@t8%0s~$(DWYVuC zet`u1cP%;tnMjXx25fV+2f{e6EdUGFUwk>Q=HsBdv;p=pBZc>46Z8{rHJ4{F7{*1= z#l_>vS;>Lx284L^b*!HpPETu7Ps`Uz=s=A%sgvvX#A&37YZCfiaQcjw0o-UI=52Jl z8hGzEfNS2T?T|x@cQxTyU;pHO{XII(n}eBd;bS>-V+}r&mkfbNQmDvma*cnVG1axL z#&^#eh?K+ewsm@es@gQr=5Q6gWyoN%7zd68hm@I`P9wa(sh7X37!Di}b3P+-va#S= zy?X_IO*k-(^h%ehEd=$t~%g37n0ndR5kTR6+j1LKW#Bo(G z!qaFK^6l9+2NwDXml_`|jq^`?&9kx|K|OG_sx4qy7-yrwH5JVzKuPv$m3ihYzQuGU zPH3A!Go$a*p41j1yj_}1z=;)%((zwpa-CIsz+Kha&%?hA5N0!EK48p;LTOR$n;(>O zOi^I#EK0m$y)J-yfck4IAe?uqUQU0xq{R{Mar2zMc`}`cU?;>H^%4A@)1rYT5SU>@ zHXlcmE{fv@yF*$0hY1}YTQAvgxJdx;tLpH=L@i7M5ZLcE^eZE+X0xw8t=bGe;`+P@mCO2|= zFy7?3mlj#Y&gEP`?n*a~Xu}-p=kcB*#K0`D zAHpE9Jp3F4^m8~AJf;Y|hy;+jU?W9DO(?1}fXV29O&(%WwCsmS*NGI!v}wm$3u^6w zcf91m4FgJxyC_IXG`=5z9@5f^9zyB^7kxm}#>U)M=e#DJJ9w}o6awg8&*msyZp7F( z!9##+-v{VToPtbI{D5Frftc{YS4CyuEdV{tbFv;w_a5NG;0>Kivw{&T&9psKJ(}O- zPvfJdd&u>ucd3u5qjVR2v{XkuANj$97kE@TJWt_=Kl!8kKZu7xG<6FQmk2~e&b=R~ zec*A7O)+3-UmSfB;)le1A4F4!07twO!Vlcns@6~WuImQQOv=>b!3j7Qb?^sk<|#m5 z2JX_~!6SowE^Fyy;6&offuO&oPX^VHDjfx&g*htiXy7MsG?=zg`zD0!nh-c2tkK~k zWDf=hv2dYKHR4;~s0*OlEdI>t~;x4O>)e^IM{$|@MDMhE#((0T=*{rE_SY?bT1>_`KXl2AvYf^UR!m>+dbx8Dmz z(zd$bEdmt=eKaF+!8``NJz4ebXFCtOx{d3kwgD9Xr4YFp4DM47wCAka?F5@1ulmZw zBaz;DcMO&}bg4gdY2vdp64g(}Fv@cY$qv+US(Z>{sySTQw$Q}=s zhP?|x1E?6IZ9Xr&+j{FEj0WM6$8Jn#eg&cdyU-|U7J{j$+b#$b34;#?Q9;0>ctVx5 zNQ$&;7?Ex&>ZV4XM0k(Q^@Bvl9+=BuoMu*q9q@x`M?nnqy;hAQ?IrB&C0?I+dv64N zFrv*GQ2emT4%RMz%;|Jx)! z_{DwMtFe$dkG<+fJo<=#AWQAS4^zUS!LMZLv+!8nsm!pV+<@Ce>mE?!!mTAl9`cZ@ zwigD4y)!(TYl@D1U$zmlbwK-mWlYEEa`~(T@x$As8wEcv0H`%WOu~LS!0Aq>pjTis-%_gMsn1@l6l#Cdh|jp^h|h84BoqSth&^5@rqBfF9~$>Qo3 zhc6;37}OM^l$qB6@>`kEvBOlllkJ{`AtL@LE*FfZI$!Xsf^0^r=x2cJ?RYnDN;pJv z(A`*-&s8IG_32E*5B7ns7T%xP(SJwCIB+5Rld=~=Dvmy+ZG1GJXf`o^t#%XM(U5jG zs{*9l)5Rsi#4q{@^rt+VY`wJh956kd(z-*2{DJHfSK!PGVW>n^jvLNR4FcZY$5|vI zI5?$A>-3pnc%zul8Fmi%Y$F057JYwU(vg1RbrnVP0sd^y${{OQ05(9$zuo2`r79W! z=uX`PY8-HwIASdE-Nb z1~edhUJ&CPp5WjvR#>dm;}{U0x#B=W-zXq>_XiY!J9Mxh0AdhLFo1{9ndb*W1n-i` z?T_zeQ`i)NtnjAg!s+|A+@d4pvCg+8jfYTBYtjjg;z5>Si-#&Wwg8QA z4FpyrnoTSccRK*D^luPGp)M#eyksoMwYoMv@U5k^)E7jUNnwG1+q*ZVg|pJU1P?4y zns1M#h2uRRie%nPz&1}>=6-G>!C;zXShf>xb%8EokN#N3-)mRQ%r z$_Q^;wJZ!vWzwwB;cy8lZQOI*nA$UkPGbM-*+PT{$>9KqbvC>Qjw)_m8Xh%(r!rn^=}@G6!5;=h>8@UjM|=q%L@}T73lK_o^?~6s z+=;tUg1z+yhSFVudEyaCtiXwbH55ws4x*u-h=X?&NB#;7rF#dL$6-Fx0LEVuu0T-& zPKai3-kJqdFzEV)RuI~5vVuYBu3}KSvApV#J(fgk7?gK=ke_H`%9upn8Vu!ne-u(8 zx;{?)comECUYGc>ynwiF7$s|PlvJ3l`RJub`FbSAMUCu%xN!eJ*$-&Gg zu+!Cxs6<*`C9Zg>o(Oxn$tm~;I>=xaE;*?!*{Um9VRJNCl2XxW`gpB*nps;SR%S)f z7yL+PkjcK1QC}$otAP||wTz}bWu;QMMU;S8+IH6Jx8rTrrf-oQuC_dJ4KkzGn$6b@x`!84*KeAJn1K`OE|*$)KNgniU<(>>>8d{kuk zn|r`Z?K=*AQUJnug4qI(J+ou(rW}vJOyLIdIszS0j$V!H`-HMk@r@ znbf&ujysAytSN~EEUq{t3-d93ezvx76U$4coJFkZN48N9m1!i4!I+H$MU#0G{@|%xES}bd+GflfCE#a5=2q(MJ?0KcA zM=iK%eKZdUI^YMHL)A7M@!2$2R6MWR*4pR$9DrXmc9xbgkqyI?gFjpR&`^KmmD$H0 z?dl5bowVf|<(s^&zD;uzWbz#I#C`G~(xk$5ecm!J z&|srlI~cHPYk|a+)((FM{RkR~!8@Zl0M}g2_wYmJkThu0)k#$V)@~zb)GKjUwFE=~=9#^3my!O8Ai^WXTaJs?}eN;^Fggt$J| zs^$Op0ol*DLsr7XyU>@TV37wudYm4>{hZDdZ%E+evqvH2=>TPpPH6HyE%UBcaAMpx z-%8G)7XS}RkL%%Tl|D#TGsg&u=}S!zsN}l3?kq-EiSwVG37HtK-0+|L>g+Pe0P~o94MWk;1~r1Ofnd{jKBBzf5=~}6Kzk`g=QRvI2qC;7J|`SZ}>vmi+|xt zCA!Hfz52ZRNSc?qxY)iaXWT1w+!LHr6nCB<| zF-(VE$OSuLnE`Ys=^KD~0Tldxa=@838e}EQj6j#wE#+c)mH?e(Y)*unJZcFue{K~W z1>*fd5@?~o+ZMlLrgKkwmN*g9KLT_H|43sRx%UM0p1b{cJK}rGUFpc!`KSp=*ujrE zn@w78Y$H}91nGX0c^F~hd22b@zgN#~cj&XAFVpKgHbj2F8H46o(f&`G%Gj-Z88TTf zvy}peXuj!QW{>;%h9PoU1Tb9SBaK$uGI=Q@=&Fa^i@SkG6}7YV7rLa_(tI2=hRHnN zeEqU$tR`n@vO8{yl=s-yJdHdpF~BO|-vHvw)s3gynj1-$2v-_dEWWOxGo472&44o0 zv$2qBCw)`&B5>WY$^DwZ%35Z2r^`6dJD7{zS&xV7^z(r-|NnRx{kuQ@_utOva|?s)?Av`m*!1c#*Zn9vtAm&V`il} z^UvW2Yp1sA6YUAziOOn=}N~DK!0z&dET;l?xI%7+R!n~xAC(d4WPj6_IM_Bv^&vXWP$FA^ek=weKa!r z6=<#^N1PQLUla;)fWY#^0Tmkppp1hOd#?Cd$XcZ1KwLJQKtk|c@dR;j(75s`(YqSS zI_(r;4#{*cr#cH~E>@t~*MISc#rh}UCo<|XPUmxI9>Iqq$-NS_9 z@l{`cxP!zPm<(H>a5s$Y>%x{K3s2E7>&ysa)RzVgkFMsaB+WR-v*Y%^{wh+?P>s;BvQ z*>UX3nqi4e`o!!hOJOdKxGjgb-4Uo84vM>w1xho303opYGP5QkJuAbztLmpzK`nVw zorv>vi@k{ElQ)RF-;dEKIIxaGJ)LPi9W59Qr_Cwm6oE8+MprSF7GlEy_JP#knB#H3 z+U;n&!#%jJrxVe1@&|GE>zRy_V?96ukHQxQ^TBZgun4?CsN)P$Y1;MOD&sVCtJC)) zPtPC}_@U29_KfEqO=*+Y?EzO*WHyt5yipnONVZ)D4|pr1?UwQ1&CU4b7Vs5_fa@A% zD8wgJwYjg#XK0jCvWa$$;qGrWkw_hMUZD zT7Y;F_V-61nBmqOX#T^SbP(XJdeT5Vl`p>tq_&YA+;+K>jM5_4o>Yo9HU>p5Q!_nr zoH|u%@b?BB`_L9|4h0|5p}AgW+GM!ZhSzu0XOA3brCP(Zits!wzJTbcyh%5T!4><9 z(rK-5nN$@!Rc>DX;vfGNosofkrrxzOA6cSMK$j02Ew=7*TdbQbNNB)lUmf@@V)74VL3@!C-@ zdNPDo)sj(DR(uH#6J|_d9^ghseIZD0CU_<}9-vk z(ac;48ou?%4R4#S)WUqEq$f9EZ!Tq^74huf1`M&;OI>AHyb1fXc z(r~#pFX-g*rpC+7Z<%_v#1hu=}8Yc4`E*l8OU%~&Z@FZfi^uafiK$f zT8`-&w_l`DbtZ64SbpIV@wTe$Nu$P2CZvc)#I+H2p7!B9dV zYX?zd3RIBg@=&zhm8CXK&gIZf@nHWPV};l*I!5vjCcf#52?a$~fh>v{PP=Wx*b1MU z7%O>J=e84B;w*t06wF8X2Tlq7KneIa1k|ae_EW$yyXJ`II{(C1Q~w`%ZxbWSlBEgV zS5@5uE+LJO*dP`zxvJhx)q7d~|8vE#VZ(wI5=$g3B0M7ehKGAx|B1}V6`DaB2@OJm zEh8wZ2T`#FG)(5t$c8DVzp z*#9xJbH2|W-F&uirvoFMIynQy$%esP@Z?XcVvm?a(g-)hmce6cNNoBQw&fMhYrttP zYdX9h3%hy#gW_;_{!ImzGL3l&Mv5cDh~k{oD5fu9*<|tnsdO%SAscge2<0>b(Oi^6 zDs9aq zRfoQ>Y2H?QOD(m2OY%(%zbRIL$$u9kaNk!u^}~kXI~qDKcg62UZ^6NjnzRFLr|d~&$T zI%7T`06Qzt-29A$o2Fu;`NzOLtI9*M;h->}$kQIi--P--4Y2ww1mD9p?u6(K>?-O| z7Ojywvam~PVRZpyucj`z+|a?Y3%=l16Q9W&6MYKif#M*^0tbIJ6@8%9b{)A{{%EVb zv+s}r8xOvY*rhpdc6EnqA-*~d^ji|-0zO>?$)$2drP$}14&Ry^Qr_^+?4#zfutVM) zE{)O+CUxre7dZVfhKU*;5KgLPf8YxA2ts_v*R&QOJKD>+29=Dc?zD$`qwGhx3l=)9 zZd+9!^bIvF%0=4_1@nEkrFKo-L4TY5^i``t($S1lt@vL{j$;Z?(t^W&zC5X+o}n(S zYB9PvudqKJNHC*HQ0wmOJI#Q{&5q#&aAc*6(c@$wE0i>w`cc7AM3es|j>-?f{Qxff zG%Nxu-zge)`elc@uayoA$Nu##p!Jmedd#_F{_3F4z}e;I(2c^qPz<^8{wn!I-JvI? zS^RO-6eU@Vc6m9_aFhn$)-4%^x{2fk(zVFYtY!_aX(e|wZ0!x%VL-7l$EAx~=|in& z9QshVtaLDlZ_B(I@}!PBz}W1@Daoy7otnDdI+)3 z!$iRFTCl`*2Ctgz;~zVL#m}z%Q6fJ00f2;zR3TnH|K3mF|2bRjLMr|Sms4~cU=F`lT>yyprKjCxTjU!CF+4N%TYUh& zbU`g50opkhZafioMwkOfN2Kw1%vj;%-c4~?X$-h@_M6)it99jHTfI-WSes8VFSJeNU(5db7)0=e6%9Bw+e7 zus)Mo>{BhwS!+Z&ZR`<(luv2YK;R*41%xxc`FLPX^+?^k;WOHnHa%Q97g|%vvcbg4gyO8 z1E`lTpeSH{=b*EE|Bh2M?%cLe`K|9q>C_z5x({$Lugw9%PcM=;^f@ZLV4j)-6Vkl= z-5@v&tl1YfN79ppLkme!NhPju*TTrYZ8tqc!q}M!uxDD|3R=j2s@a3(M1zb$$45;Q zYg04_`#^(%0ho;LGf`mKK?KnN?0rxp+~|$3jb$JUEdR$JKCF7$N1O^vSR=sXZF#iy z-+WJRgHoW{<-Aah9_|%hb}jbQ_5>VD0h~v{Jsi+844wp|j&jsT+Vju3lL0ecKmPi5 z=d@M*!0bO)*~xO)C@tK7zwq#V!fEf?i0t6~vZMFOezF7fzfSW6&a|M)US@x(p9EXR*o=yz@FFeeDZ(qpl-7BYiLRz3B4@rGp{z?H%d`#HX z>)}_j>(D5!^$)-KEy3$uL(TdAy$^`2$i&&p?g1zVN5DqF5e(e8Bm!uJrvcxRaD<@) z`5ps~g>&*fe3*qdym@W}%5_7|2sW49`+%@P6!r~ho)2ic)Vrny%rarv9)(R{b_UGe z2rX#P1cDPV@WLxy3`)a9hz*_(=XMGP6W3_PytQf0hZT{;X*X>!LyPvB(NPob*iX;@6_#prg~4-abgjN5z>92NNzfHnSX9*NrgvjI zPD4dZ$= zYMWdjZc6=F7EJI*I|-eGw2Y2&Hn_rUpYp?OHn`Tm`g?x?r;T#~#8sxh(UHjFN5L@# zLPr8z;ADJ0)1t`R%`QOwO&wxrX{Ta`kF^GCrG(b08ayb zc_g56sD2pZ0evhzbkvHr3XqEJc3)9XBbO8>J^_PQ*$I3u&}2J!28<! z${cRDV1LqHHEY&*B!HFW@!iFk*`%1FRlHx9x=W2Q=?@ooLf&}Wd4^y!B{xj$k0Vh= zCkhLa*+BFH?S@p=r@8mRO+BK)>u)Ht;P|a^HtRlO!3#%(|xs35AEw^ zFLjmVx)vEb8r1-7FRzIVt_IwcOB#yS5U?oHHqH#@^WH~bpeDBC8<*GHZDHx)#sU~u z#bLU-t>WN5{VC0827-krhICmB=bEW(?VL$AEUg2o{fbJ?@`-T%hy!f~Ev&!wejq|Y zl-CwVAka&eFG%pi#}Y6N93t7RH5wDb!L%vhGEJXnfjak0+oPrh9l!+tIfE{o?XFU- z@)8WKG?x$ssLFarhKbx`F*de-GldbmK`gF+y~}X;y)EHK)Pgm&S#Gc4hrC;Fg3Nob zg#3~Vm6x+QQ*P?zGYBNEa?hy97V^@e0bNJy$oE%_)PeiD=IafZjf)+c7KqYSS*y*v zrCe#B+f?%ek0;rcfb1(OpsCxv&@^SH%FSA~$qf)5Y}dGg|r?|@Fk!pwlj6iRwrgG6zE0d9&spk@f84V~!Tk1!4L=U@HV zFM-%ye_Q4tXc`ly5?CHVp!M4#6&UX$h8o}7Ib~{;(Kyu5_;1;N{q{xaK=)QE($Z6Wx510??zIoVkY-7 zp&u=(WSKNt>!Mlr1uc&_hWx@FFGhF)eYe}+@Fx$W(KoLt0o`u6i{SQv5i{8^V{%1% zMMI7ePMuZ3@og1fhH#@w+V9{@+~7%G;+LY)p9C+*bcic(aPG*qZGcPzgxxQoj^=BT zD(}zQlZ2t67Q7NM8W4(ZxV7Mzj{6AG0(9>AaCbMf*3I|ksYpjzWw&bHe88yVlx=+x zhA0q+?3Efp0|r+($>=M(CRT@AoxM?Z$mwa`Gc^X_E#eK00ghb$dnih~^Q0qO7 zM78VT(ZQ4o&N!^NPfvN(9`ey~tEN*uZX=q5eJcB%*`<|w0=PN8&Jjg)nLharVygC1 zl1V&j2BZYDNfw%H;iK2IOEM~JM%jeH$xOp9_{L`D;f@ z0KY-JYXS%~9$8;ikJz$JqqZH7uL;ZvN4JEmwm|gF1q}Xc*Ww!0vL~a~3TYB`gmE_TzUp#td_H%WJzg@4A~2_4Zg_ z^_z#hz@Ynuy|W7&k;31$GXLm%=6ZTz0uEn)XVV_KtF=ykwA3y0q5b}W4!7`i%`JNd z2x88fF`taSmvr*-03QyUHwT6C;go%O&?$ux#R{*|@E-%%5jF*hQtC1!+eg*L*w;#;5MW!aB zZDihHuPg(&$432aMtFfUNMmcF%`$(~$fUZ7hEUVsw>ip9Vl}9QzY!qU?ty4Z!bJb#WP0%*&(l9^cuBV6TW9)jigVKTZ)I?iXp z)x0Qjm7dP8d# z%{g#xw!A5cJ+rDW?R92=Q2Ssu@$CmXXjOLr_;XuluTCedjyq;XVj*2mI|UFH1UHg% zGBw(iGohT9y0^b=fZa(049_ey3NAuJK_|vBD^4Zplrwb^v3SOINzJulVne?5#X5j9 zs6q=SMt%lksOm}%ofXhh$>J@Lc&Ib0Yv%E0-+=N7?}?z+-h;xbntdG^8C?gK3X)yy z2V`5}SP8E}Jis9^9)vA+M~kx~5u_zXiXkF%Hs~i<0x*F-*BG1g&pZIFB91QL9N^1r zPen5#e53`q^1o3&Vji+oQ#7bor+B4nTnx@sd@GwT%LUr4h8z0KIXNBmZOq` zAs_M;{HIW_Bi1DD9>g1~4dVRF&IFkQCKa83aONz&J)#ryvS7cEvfJYP}Y3GEAw%sf#|l@5dgptw;g!zqLw^9 z|BCIJj0FLQfxd~Ygw|RRw9@jngL`(uUo)y4xF)x>=F+}KYbbxiFlrE)f?M+WSG5gu zwHBO2c=E;$9;-Z8)|PHx;5t2GnGwL#@a;eQqYodB^@dCm?Ge|~CbS;@*fu$>mhkf} zeHs?)Jy3xje_9xM7b!#Tx1+WK;mP|%Q?6^#o~zs9v*X!2L*jeYr9TXrB$CNgAn`x~yucKi zzF#P}!GHdHUjt=j$w9^Gn93m5SU9=;k)JGqRFniXBqJeskWzKxP{KsuiL=T(HZ*AT zFn|t73X>r6bjCz71`fl{(gyOV(R^^G6E_D2a7yn$Q5yIT&2BaFt*@?#H7uCb9ffg2#On%VJR@Z$FMb_-)nFr4n-5*C6) zz{r*k*(848l&kZ_{ut?EvM>(C^M6R64e14c=&B{aU72`cCV2u^ca!UANPJJCT4;$s z)KUs)CKJ!4w#&>M-jGA+2-@|Y>}l$yK)N@`ve#fk*FyUHDdp>83WZb0=vpSC%(|JY-%faSpe@yi3 zNCTHNjLlrxZ7$!zm9cIP6qbZk5g|3u*%%yQ!vofnXs=eS5KyJYMhx62_H`~#=kmr} z92|l>lTr{yba(k_7`Zx=uQT~$rbuQXoyKOPJIeq!%6S5v2S^B;R%h7P4~=d*p9iX+ z>Exj`TrzNS=Ces0#FR62jARJ?2negGnIV=85@Pg_Gmd*JMezIyBGM=`b0lLe5{VgV z8ajH&!iCm~LimQdW|nknV_t6Hbyos=BpUOC5sh#&Pc~~T>dBIAI#CTXD01UW=ZW+> z=i(&6F727bu8}=EEmsNs=P;i)W%$Ey^lA+pbOftw2v9O!hZTB+*QD)yh5emAgkzIT zoQO|O4d#u+6T_8HB9wGS|2Ct{orR3PnK4{S!E4?N5{HcOQpVurjQ)@@UH(3JN!37S zq!xdFiM*aze1Ez8W%QD;(E8T~%+|r3?RuBheHI}UYk*hh*J@jEAtfS@7hF$x*{ujb z&BGPqgdZreX1vgjDS>A_9qCEAetj4wr38@;DSO%*W+E@XV{%3T<^uzu3I&!=hLWTUbh-pa^m4k;Ob0Zum)hFZX+xcsvBwSa8=6x) zu9w8;@yb0Uj$KALziCnlMC9dqOv(?QGj1GVEf{(#F%$cMabHqG0xNk*8xseBZNKd; zEjKfg{`5yPRw;I6XFqlJKNs9phFfKnRmN6jL{&I~;=l**3zAe?a_iETa77yBwa))9 zJ~m&{m_bVo_4H0NMQ!`MkI+GO^OKi%3p&Pa@bt+aH4B!$ zr(qY_LE!+8a@wC{(SYCUu2{qK4ik~i;9DTbGNQ4UL^wsK99C)trVx()Vrvw-rlZsw zF$^Ud#)%d~=WA2U8bQYe=A0)yTW<8CqzIB24w@weR$@vz65NA`tgPBP6xd4yjFfAoZl zI}GHSRvqCJ^j+T_1jW_}lR4`zPZ}Dm8_T_wf!tGqfJsI?>n`4bJU0^}zU3Mj&BHxa1o=QG3NDGr0{Zg0vbA>W^lP@R~=#J_N zTwiGCc%Wz=sCI3xM`4)o+KOG?6(90ZkRHlRQ|P^@O+3>k@+^Pe#^{)lWc4K>A)i!S z>}gs^x>TiTOko#YD)$V~a{C#l1S+sJy2 z{aHfMlFY#>*(KJiB;SZAe|oyuPj$|GaW{qF5+S9;v`!%s{uK&m zFN=knFcvz#ME**d>W?I3)Mmc*-@J1C*yL;GW?I-vrf}hz=_H8O&Z>v+SxtvtTsnGb zoDFs?JA_TSL#M)P38?Nzm=9B&7C=gShJb7m5Y5xOGvnQ<3bNELM|CLl;qj&@Qcq}LQMCZVzFVatNRvZ} zqjqrd&3^N5KBQS1jCBpBDe`aqNJo?pTzxoc?0W14yPoz>TQi8jUZ6_0j<6N?Cr6!k z1~-kcclb`wKX}#9=|q7P~2c+yQh*cm!OW#EUbb{kRe1vzH95 zeZ>|bpNRWFMD2};*pFS|3b_#xG^U8_jMslhX`*RHZUlK8owi&hR97^MVm}pT5)mMQ zUt=R9TK%Q0u`5~Q<*c3u$j>W%Q9E65ltjp#Ea#?{blUt_=u*+Jy3{n{8mC`T>eLZw z6eq}?y^y=@%u*+9vm^+uzw!IS7=*0?C*RR81MgZOPd8w)-H8o4a%y#8za2W($^OpA zjYLzmO4K9V;c4Jb{0<;ME&8Jfo3MXwgfW|R;4KNG)5HTfjE5L%ux7xuG8eHXqjq+y zq{el6uaXA&@`A8baHGCn$%(+*Uu-aabh{~WQAgjzNV-)r)c9jxtK-BL?k{F%h^z%2 z-xO<5XfM`XchS4*9!_vbbTzZSe(*~}O$i<82OmpkQc zW!rDG!wuhtv~-}_0as^Jw5QTx_ELBkf9c8Axp(cZErfyKd#4ELIC6H@YdVXqd$RKH zoFL^((MUel3POr&W z6$|PtNkIUTNQqq0*nLgP3%byWUCFWC`j>z2!-xD-wAAwAw24qW7y|6O*%e)BxNe@v zUaFhpXdl=g+3g!o1b5b20b*?j->7_W`s@%!N;1D))jiw{L4DH-P(E(BR(0KhI>j1( znPonzqp~+O9jo_t4MUcH-Z`h@u>hr4*FnbT9x#31!nSU6YxdVn+5^Jxl@0E|5}+*Q z$=){g(LP?ZLtx8HVF>Q#p~l{gz|;rx_(N-rzrq29%yEv~<&OGD$8pRu{_D=kk0*F8 z^Hq_=LRFxPDQJ(e5BUX??mqK>ibw8W*x8*Sm=3CdkX!Xk!%>Ozg`b+jb%+w#e>t$G zaPzLO8X51$`zhYre_^Ml*g)`G;9F0&V-5gdQtMQoke1e1EtQI7@ zD!LDXpTeu<7j|OGr9;^TnqCG~X}C?|_Uxp?WCYHR{wYp^C8QLVPzwZcW--I46fko}oGE5%9pgb2S=Q32WLJ{%N{{vzU=zGb+1GLlPB_&QAiOcnKV z39+MeBdCrC&bsVZxI><`uQ&r9b4TqeyxJ!BA;y76(!#Hm_OQRu+^D|o*oAiRGF|1D zx>`T~ioKZ2*UCu76ZHV(@Uvkaz?*`Wd0o&7>oq)tYXPyLsk$q~Uw6p41(;gs-A92g zDfmGpp(09rpeGk@4v4aO6unqN>hQ^i`ZY7eH9bz#bcCl)e<)ff3GY2uXZPRE{!lZ( z1kO>ty{CEbsLlnZCGBW+eJ$<(`eydZEN53ffAUF^4}^TW<3pP3G4G9M{eS+ISYCAT z>MKvXo}*?@#Poqbe4~HyDarIYOn-`iL6)MghbQ4Lf&Ow#MPj}L=96$RJ_BozNR7;$ z-h3jj$@~Ted(WnExWl99xP8IbaEgYB7{RpM02GS%;9RMG~VYCLFtNi zuMx_3gB|p^UN;`ut#MQ`+tN+pp#vw`8XbLNBFFxC zRY7_3JJzireDS-BEy3$FWqaDv6mLxk2&W&$$=xg}gMW_)-qiY`l70S&hG3}V+GcRC z<+h})rVoK~-?kc91)a>wif=kU9E53hF2V2aKZ)qR?MunSOrYMeSx8{TOb#soiHLQTlIAmgaUSdd zRs;L#41g)c3)e8+rx%)8X*3;D1Y1xUfZKRus0c6>jV)k3fk7wttCf*j;qP?oYOEJSVU-KBKV8;n^r=a=$mq5ygIpNiJ6taKZbgw zU8Av#!GU?9$H#J^bP`|`LA{o3)v+iqw%TrK-5&r2%u4zRBi?$2t{%9s9Hh)!g|RQ4u%f%eGcJB{KA!(rMVWo6g(h;Y{=|Y42(%_bEN&` zy0^&cKhU6CDKd_zxXTbvADRL~E8%#Ws+RCznaVuI-ZPmU4lu`-c7g}B(Z~F-lbS`v z*57?UP!XMPiuzP22fL~#@lA)kx&T8KPY$USI1|#tfIJjXr3*ZM8=o*+it+as4!E2C z?sp2dy9XE%~vf(;k}^z|lC8>4`A?{D81Pnx`AuvGD}m z^@iEyZ0pC==_~Yj#i=(md2Ihv;M%9711Bxo$S~%LhDNJ!;LsxOuktY$d_s^Z{p7xo ziP^HKbNcQ)=4wfihVyyeOBorZjg&kn*gCYxnu_uP{3Z)xs%edD52~<@(uNFn@KRZf zq~NH>N-!0)bw=CF&+J%N(dILL-?STskbhAU<5abWi!HQ1qY}fgUxX-Z;bz7fnaov^Qfsj(J0QiAGwY))Ow&!B4X4;1D>@=dk z_>Pg*r;YP3A^OY(Untw@-_Z_NBiXvF!M{VJ;fZ!bJI9XsrAOQ1|`GTH+A>on5^3BbKmF!%@U*Nodqhs>gd|O z0v;zHTt~P~WNZpXY*hn12|x-oA)n*V^|_CMCQ@Q=8}$g>_tu=o7{mJJ_5mOUm68KA zkVC!u)F?-n(HhO`MoVSl8cnl%jW1N%4?8^5=1 z__aoiKR}!;Hl6Je#dup%Vw^NlFwUSckcSGKse$0zUw{Y`n8TD$jz;C7#bWKqdhM^O zmN@tjL3YMq@s}m&`dI4=eF*=JBRJD62GTSFK2V{f+InL%}-c}FlrIs2> z|SxgdkDLt4{cW z@Oyuzy0^H%U3WEbilqRft5c($=Vh3)0*@_&{zES>bnoBz$%hYQ&S}!46<;VZSeZm! zf5iPdfX@)dIR;tlxaw|mLVRy?;cFgFWczd^Dd`a32ak`Bz?h_UV&$xMDvM$#x{n^F z9Q4(YXVW7~f-F9=j5$2_wG7#78D>dKoisMp@sh=~r=_$$?(_ZhWo=HA_LNJ9F`w-1 zngk&GD>>8m<(%c2>G(CJb+P317jp)$<$P7oU{TNRRXvyUS+Va(#Imi+s5--HtRX8(d5V zQjm9Dxfjy6y>Djtv%k9qqAazZeKS4EF;m7<@3kVPw8>*IrhQF1l+wZcP8Ytf5<~j7 z56wZhP|Sby`#R`QK>Pukq206##Gna&2LImVD_q~`zr+S@N8c#>){#3*j7tQkX1Mm+ zc|Zsbd>|tGV@)d@^F393sy-C*& zaTE>2cbOHYj^P15z?5;J?B1P8p`Yt^ueqlrD&IpPK_ zi4zHphX$ErxRCdq+B>D4vJZ(DEtKx1H>Jln70#=?*n~qbk(!W^Q2(kwIahm zIT_+ZQFHbO_q=eiy~FUPz4?Xly_NS}c#j6I*1>a3$MsgN8-5xQJ%pUl6+Hlf0x&Ke zWdEIg(?(B&N2m>B;;LbS04jv$m7W6!0cnJkef@*6_~&2S z%+|Z2L8c@QXlZs_C!`KE6pQX04c0X%lX~DCV`Y2<2T#g)*W)BMmIpSB5NJ#b&dng< z*1)xCOSV;+bLc#V#jJ_E*L%s=fymIx^tBIx(ql6XeNj_0C0EU4bV|0QMmSf4{#4!1 zx~VyU<1PgUc!M%X@+NS~sWsxI(UDv=&&{%xy*fIgDAmq^0Uo3#4HBn5lnMy??Aydz zh&N`syoPw!A7L$CVu6MeF(q z#9g@j+8lyH6P>JvpCN3kJ|GN9zb5+ZfaIO+g3&qx-*l7WU$9B4rlBJXz^XryHGLna z_9GpDGtVilz~ym#M(FpZ1?y?*go6}+{N+YUNIzH#P6$>Ic{ftnbL+iQXvN=8QYJ)4 zXfyap0kZkMa@L>m9DF4y8UzGG>x8dL`eKFRnRT`U>Op;lJ5$MhOC|hpS}WwOjT8#f znV_*s=_?uqv1pVzl@-SBqM-OyLFr5ot>$Yh`7z&BpUPZYNo{v2b9vVuu>1}U8Ab&S zJCF%uXZ$D>vGUIyaL=if@n0~l077u^FIndWZb@J&(m`{)kr!{{IiI zc+*2PecYd}jt3uU881Ythqg(e~EIy1%CnMn>2@3_Xjpdw=Zb%=gW+j3dwYv&)THz z)tNmTgaZR0S8KSu)o)3Z@WvChnZ2o3B^W1c+;8U<@G$9*qgsnS`n`tPfKAXaL!=@3 zf1-m%Rf7slJB+;QDe|UEh|>eBGk;(tAAKWw2MoWWtUJvNRP|t)bwIFI^RpXZ>?WU# zfWwpEl$6A72)@UA#P2XB&mQHng9^W(*_}G&?~)q0gVdl)5L-%8Lp-QKYFBIqDMwjn zy3SGU9>AVEg|;1oOTw8LAP3%Op%sE4w%~VSK#$NE!fQAK?C-F3?@HBD_MPE6K9l1^ z9Y3`gLW$oPh4Lid;}ru@ZH2w+TYjP(MWizkA#IcQaKF&)#LR+*9@M!9C1AjI`=GY$ zn>nXIo`fY379|!q=W>kphDm|u@A31RO`_&{rKnmOTB*2q?4^Z39L^-_{Gw1&P4gCn z*$2`N^>6y^)^v`aiHspK3#?3#9CeEe1vmsDeA(>0$@Sk9JtYK{J zGiYHOcFbv*IVrDqd*Jda_^TK`8u3goK(yQk9ys11kh}2P)^Otm$r0oD&PVCs6rrVM zA`OrQ_puLpct~sdBNa?aFv{J0NQ_<;fhmF1pbFBE@B#-Md5ovpjQm{FNT1hk;$5E! z^D!iX3_SF-7#*=vuN9f%^;tR8@MVE6#Rw}E&%;?y8i&uBP#`MYC$7c5AIzrM*;_mi z3X(f0fJn3Du{+63W->$O^aw03hTC$zY4^17yf`7Xd&68r#H$0zYZ(gq_u*)8et9v(C~& zF&heSk%&wYR5mFQrq2OjSW^oKK8>Byz#^aRE)&KpE4bWLQDi3J0`tFS3 zEP*`RGD>C+Z*Wz%@Ey{>4Oq1J%bo$!;_Y^w(~iA5(a8W2fj_r-w!u>>ap=4nc+Ssh z*|HD-huf~=TG`0a2fuR>7r4Py=%AC;lLi_i=r!#~-sD*f9>KREhd=!qH;Z52J3M0b780GBDyu6_SskDMgpA0oGlE+>?2Lw_0lHSyPMo}4!=ROfp|~6ma;f{df*Dq>9!oiCB`qA zTPte&^!#gTTnCTTA|$*P0#ZQSQGuxgw%0u4^|!ZLG3v^bau_S>!p2-)Lye01gwan| z;O6X^jf?8_l49{7C)IMMy1ZXVA{en1ZCFQ#;hE-=ZkrkEG8Q_Z9G&L*4~oO#`8O3d zRc0$~`ML^6KU%PEh2ILC50aJ?rz0C!kLrC6j#_2|?DDnQhMCh=2<2hO_|yiJ=opr= z!AxTQgsaZJ`kqE!aYRs;As0*Ijo|Apy{*E#L<4uf=^r83&qVTqq${Q09!|_7dL{Qd z*Sv|}Av2Jh*p||eF@m^KKw$jVCMK;{i}G*h=lt)NMltN*6AtVQri>d5aEUmcEleVB z)c>tjik9jn>HhnqzoWGi?bs@Tlyo{;6#Uv>3qsQuguY(;H^pYos>h)*2S0uAlF+Xo z#7$eIe zhpRlDE_OG7ZloIP$7Qjco7}52Cjx?713FA9n=MRSbCv~O``q1>dvOb&fa}qO=Mj{2Y z3U16u)h$>Nw3u+L$bhzXzBCuA{#jQh)`*EBg)u8#r!1(1nhZYeV^7Dj8u8=ISv9YO z&lv-6u@U025z72Azu1Sq%-cOx!+72ua1vQeD782in+@6e9EDC|l0gi%(Yzpg?SMeo z@#0DXFg&S3AkBFtA{|6DHDWkuq1zWHQe?bx)P3rT9xTMC^0*q=SdFH;&=k6WVuD(7 zXo~o{DU3Emq?+cO{#>tt_tviW&%dEd?pwy^|jNu_|lcdr%(cjYsUu!SE_QwxL;gCRd<~nZgBeryJcQj;5;<> zBcFZvHbFIQUV#UBmMRn?3I$?ge!nkHEtl0Hz+#^EU;pulHA~~#0pP_D{PzocFbbM{ z)jHJdt=06a=U-QVyIbQzh%rP!hS}6->M?d|_MOne3l~k1oxaxIG17=r)DKGb7TiGu zo&^pvq~WE1i!lwXo2~&L(lMtUn@*w@Q*Ki-Y8eK)+Y0tu*mImT~`|sulXGitiidQ$C%4siBxEBc`i-T?p zn-+I6A~DuP9xc6nxdYu7S-`k{;t+k%u41Y@fy%qxiHfKEbjq7e!35T>lX}(;=++=; z#Z#qoLb^D0`gKWrCYe2+=LZ)0rpP%J@N2p40^Hno{rYgBJ=6tvB%OxAT-t%sUf=?B zw2v33WCjI^B~P%doU=t|O5B2g6gW}hBo^=9l7e+fGp9q;4ox!YrYM6vOWA8pUMYeY z4qs?ZbwVHb#z7QVIto-$4{b~O@A`5JFog#3J8QMcj~Dx6_ek@U>VpfdM(5#Hj%jhD zqyxAR7XZBBkaXrp0|s~0Y3W$P^x90PxnqiwzbB&;5(nIIjEHxWQ`voViV?=Ojq6lQkoNg$=_Ri9k<81mB#v2Uj14keeNa=w%>gc04|cc5trCs6uC8W6(qJycsL>JEP&gjZnONc0p~>f2=heu( zDQhcCSk#bYH14Ts7JL|SgNc&t6x|4t!w^|46>SeK&cMc_?wD)-L5!#VQ@<+VXg3JLQ+Q5udu2ZAj_Kzg zB*Bdys)YATm*?eCRkz8nK1dc60DUU%aqGw1)bkJ0V4*$t=nkfO?{1UNKge$TKWF zXu}bp1@Cv!*mp2Hx*Vssy3E&%hWo(BMfP5hqP74&?9tc!D#ztizs+9lMf;a4}7$nRV^tBM?LC~j>dS`(=JOJCn$lUn6k%s zBNCm~>O?z3<>f9P@1wecfjt0)OlPlZ^Za-I{=fa7 z5&i+6nbq3|9PACkgY(s)K1(l=#aATqgq zTI@s7DZ|YwqR{Xv?Lr;)fx$aL+d_iTE%a>tV<34L#_e zSSp7;;b46)Wh!B~oIst3As^`o8-z@VD#?66qcD%MD~$l0xO+VD2PsJ#k_CD|>E>kJ zsA3uJx>B7+np_XMlp4}ULq#Mhaxyd&pA9{8V7h)JMMt(Yn;GB3A$PZ94@;O3R2=nB^a+<6d1IpF+v7dAl*>_b+O3Ttb>_7K>JFu- z)PWYt<$7@!e*!WxwlVf^YdE?<3J8Rd6qrjkE<^Io<;@b_Sx2;J_{sI&sv}2%u~`p- z1(1MOYPoSYR05+r^ey;rKiT?teQw8mfi&v?`1>7MEM-Ao3I@k)OOevOsfB4(-m^z} zm+#bDqi4td*3{GpPcKwQY9v^8K4Evs9}(Yb2Z>EsS49^CC)xyqm@hKZ|3c_r^65pi~4Zq7$A__wasSC zC$N_0@xT(slBBXp*=7Mh}JtEu?@WrFDqJ&H>+OgX`kmvg2 ziU%Hh=IioOE)NdJHoNHJG`cw4Uo0sZhWQ&M2{H8MQgSFAj^Sj0kV#ZA`oil2eBO>8 zuZ}_RT06#Enn3`zSg9j=B_1lEO8DSh>m9MAW8V~I4ae3FK52-L1|v4(K3wjc;&@W) zZs=qm95(G`Q{|VLW-@?6Q4P#pEkJl-P@2^TxE(^}hRU;&5!cyIUQklFpd^@Oqb_fZ z8g-Q&qfC1A%+sZH}wK7^?sr6wCpb7U8Eba<)`vv03ivR5}Dr zsY>cE92V=hdSq|xdb|gEJjLH0SIkuI@P*^H06aq{W9rmb2opop8LeLr?RBsF!;bgX zBoV6R^@>JqS>j=DRuzC7ov~zA`TEcm*!E~8G52jxrelOC^s{=Q&BXIpphO!q8NA1g zYS02j<6ifU$EG#&hD{?DI92=?gAoq|=NyQ0R3!L?wK*^Ie29QM;*x~SiFeFsZW$pz zmIpPCC4X&!J;CTH?IVDWNckWkn;y~ZYNohmb(V&JANzGP%sSB*Q#Z`sR5cK>dE0_V zt65#`27~q0^>hp%GX^1r^qY(kD&>`)3-n7X0tWFAN4xdY8-v~G%1mtaV7W2m6<040 zxG!SB=UIEuN?aDlg4Ua(ye@t6(>Ir57AwxMw5B$P`o(3Z?$)po)v16%(&SXaTSMc2 z9%+s9s?Wz$T{}FD&p5=m^_VRvbny(S2S54S=-~-f608nq^~ptU0v3j^Y(<$FfNW5ncvn2|aKcQ1J(F)Y-+! z_)B{!B(@*=vpjwgr5h3PCQod!ld_OP6q)n#Ii_v1+!toLA<(SoUW zcFl!Gn{1`1Vi?U5dkLLH%KThRX+dJFQSh2XQGW}HaaC3MtACEGud=JpLMzPUf|lX zJ5LBlnZ-WA^}Zc@-dtr*cd~ue=Q8&Em=y8nInrqYUyW66@N}B+Y$(w@D>hBtbuIi? z^U9bHp&o&8GSA{==*Q2B>?KY&E)=@uT@XIba`>?^0(b$6hA|6$ehF7Y0p3?dBM?r! zbCwg6-4v9LP45Zc!sWie<;mckXm4`7U~8y7K~ZITZG#&t!&5aiiP}4-oWtGOhwH!l z_w5v3srE-ZNJ60IOlKc02?VVpbt~=%>G(&xbFm|v&AFUwQjo*|_m89mUJ^%lSe+TV zX^;UxbW@10VdMG64KHwH?9g`Y2e{J0Rm@J6L*5WAYvd&x8l+3$x5TpsolA=YjnD}9 z*!m1K;N{|!W#o)lT_D|@hL>P!SzJT_ueJNa5pPy(>o~IfqRozB%SlTtQ|iLlgLpB z&PR6+q7!FUi-bC#?3v<}SF4_eILE*?YDN8wWdO1K9lz?W6j_qs0tMnW6$CeteMiT7 zv@#uL3$uq(8pTE-fC#T}qw$dEct~(^Iuop9Gy?CsU|N%7UVO%dP5|!;u{5-}4ACT$ zI9#n(tVfBE_WaD72Hy-Q~iWv9B8<6`{SAnL9)N^XgQ=sgCBlUye-jh2vD|8RJ@aB zL3kfHv6rOuO(Ngysd|7y4ikQNh-h(h?|u1>POw-Nawl{F3E_Bgh;KvvEggrRfAwd7 z%;>+!C2A-kH6>afBQ!tJ^;SknV8XskU^p0u?Lp) zw$m=0ntskR*g_W=<|M8$VbrQkk?#;8r=(9nn2HVuwK6-w8`W0JQj_wV*oLVFq1d*~wQ5 zx3Pd{YM6q+IsUA(SE@QpItB**!HmG%&eaajmV5ygfb5j7DZv%IR}Tk}UQ}J*T+rU4 zC0u?-VRRlD@r{^aLm$UNhXzyEVny7GcMJ60=SB52NQn%UB1a?Wu&WZy7@DDtRx0%9 zTtNkN%HE>ssR;46L^%C1p9@N~ZwO7RhgE%P2PS!^Q^%8{M!DFlehpw~=%Zig2Yjue zu}t1ce*ky0an(}|q=cC~Pgm*$%0b-NVyEiYRB~OEqp1I4pk&rS{2aA_#})j;ztd_% z%hsC1YVi1hp+zl@7YIi`62WN!uNVznVE`{_V?4LxUqHaW-~%|S?Ju@=m>F4iGa&gh zA01Wwfaf+)JgDZZ0UrQGz@d)pumQ*-IC|2olfx;#mV2@TXdGL{>>ko^7F=!RHeWhF z|Ee;w$y4FWrAx}=g<%77UU;8qEVYMPLpBU=So1ICmGXBYHh4v>Jgb!#c69nWvHtHy ztoJ(*`}h7SJ!Hr0$UU71<-JxrqG)U`Ky~U9>6+FYaGz}Ieuc$jO(z@>d(mP7h!(zh z63-Qj-O_}_#w=k$z*T;@zaV$|gL03hr>=9XX$gI>Np;fPX24d?z6IHoWEM9WT0zKi zMorUjR#PCvtn0^o!+Dk!O``=xjm%6D1MjpKHH}}csT97Ddno+HHh!b@*Ym$v?4)$M z)KG7gmR^mc7t0a9C-G_dVHKP-eM`b}?~WQ|?#taHk!W)KnM!;i$3v~l6oALuY~EKF z^xDOFErHW0;5Ef>7j@=`3A8m0{4`!Wnl zMqevGexdS66%7tVuUEW%rRGz|B(INvcdegU`oo0`E%b(nx91PLFWt5XAj}&;I=)&5 z-VxvIB6H;N*8E$|F;tPK_*KU6#Wl=KJyj-t_gbX0>XFCS2VYyO^c@p*G1-zLQysE* zD>CNsym#jrEBtyMW8J^W_{IXIwfawgY#s?mx3kg1+dLNDqO5yE6eW;Jdf>Fnc`$$6 z7b_uJ)26-iV6(Rso~g1B0n50>WY$lA48@EbRn|S?PZvd$Hv22#lE6)35y4`ZGK@v| zt|8*cpjt+DIg8M#I1FOBi{;#*8DTuH2wx&^=$w`dP(V4=!u5Sm*h^VRWC+1~-j44* z*SPRl7iY4Yj9P^3oa857Bx>-3hZUP@1Ww)_=#ctCTM9g}@Aw{|oc&QoGN+uMsj=Lm zi5x%uBn(9mKjScb)hH+#=uh!yE8e-Md}rzt%T2u(2BFVK+66Iu?SDMw+_J|tBd!^$ z2#$NC`I;buUuCRpA{cd;d+3FlxN>s!6Ca@PaGK)mxULw0Eq&=--MQL-jt`9}-;<{B zVmC}#Kq>;fNkIDg2z}5(;4&M*!*>$mPXV>z8^a@Ehp&KfsM!UQCH(In#&A+PvN#vj zY}k9+={7XE9l-wSz(m|i<5oVz-7~3jA29rw#Sh?zqQW+e`^m_mE{AI`u9+--NGRn#Hq##XO>$hl@g7q%d3xf>!E8PGB`PyB)1?q2Fu_Nd1ONW#BVPB#uHm+S?fO zZgA7~taYP`o&B)SOVE5zZnD<@LJO0IwptGn4K0E!P+`4*$Wll{=c zjZ#&+0zvyNJ8Q5v_ou-96u>>#vyRM!s2*^cL@Qk0G(ht3f!h|`$99|3lIe4#PBZYQ zUZskLWT92|#jXIvQd?go`V=Jhv6EVD#|Yy)FgUi(Sydc9%xOZT@twrNp^}kM)l6$n z0U!3j+A~l{D`123H1Ve}p)}~i77(@)!g(=L0jSSo)G+E#W}l^fqCObfOerFZ+K!QX z7_Ab)!OM~Y9TT=!rN${-NEBQ71~j-Uz$M~w1T~nY@b##zcs5dJ*C&}9WpPxGh=d^u$!gX^EM>^}I)-~72=zApU za(NQ*JsLtiZts~(9SF*2+^h|K$7l=i^?GzNi$Oy zNTvWhca=QU@v5sHGtUpK4RewftCmB*=7|GC;n1R)h1;%O-IwOTa1@zTj+a^g=8pl$ z?3^5q;~gTBKvY}SG!_`jlA}UsdgqMt%YWG|*^^{`( zyyeomK9^|zf$P@ogVU;`eXap1L|taHOdM`ug2Ari7*B+mHvEi{u}pq)d_^)<5mi@@ zxLVxgB{mW)2xX3VI9|L^@j+VlhPWVtxP86DGuH{e)W@OnU-}#eVOT(jhUI&GsyMJF z7L@#QYAmv^c839jSKtL%7Tz(a&ZoLAM+vUIr9EdR0*s$>=Z{X=Y#pA*Yjsl8DNa>1 z0LI}y*5L|VQ!OxjqoUFy9PEBvxBGm%ZSsq#mjEBRrZn5D;|8ErTR1$Dl~~pf z7|1f1axFFi?kOI=IB^PPbG&V?58VxTmY>8x8XXcR=gr#ngLO7K(7D-2JR)U+|LH zJE#Wqp^j!Rrj$|YbU|prwHfcHaH^+o$Wr4cBm@p1RYJWJWVD?y(gH|A@%{@f=Yg;bwX|%!b)LAm`i(bt#Rqjhr|Za`_?W@@aC&56uDrxB89ZIDK$i$l6Bf zlYkS(QKo-bWMkDOcpc8g^MCA|4rfDpkfx$cpnq7*%ArYo;95T|M&EN1S}Ej*C9vn8 z`-*nIf(FY=?G&YwW&B}j%m>*i9VP=|vy9F$B&+R=%oz@0*?mSUru?urZ2rKh%UO3r zOOb^A`N-`>gO5AM(?2YUMB3EH=Rd00;dTS&=5>9k%yv#C1075C4@)oyIbN_hot8@r zLzkNogOGpFF$=z01B`^xF_9Z`n$XifEa0En9V}(|+F!Lc($F&Yz5c}-7XBwPidr}= zz0z#ny(@)OMf~U-PWJa3fz`GCpj1y9c@`LQ;imd$${1q44%ex240GcgG z^$!b3eivGhX{~ACTg7m>d8b_yhMaWR2FkW~AN#5PVf_m~o=E0}yqji_XXkxW+kcII z>DvwcgyR6U4Lc%OqZifaPnFxJyhVIS)80AJeL_1`27;gven4hkghotGSS#RJQhV#4 znD_DviK0#X&dKgw-%ULyrXj+_x>urf`hj^~en1ezmw#L}<(=c-`%#q9W_O=>QIg!s z;7k@^it$QL{{niFtFtaocTP+PY7Y}T4es5A>TnioT&;&+Mj189@PjD02a!sWxma3< zyu94##oNl)Jq~5yZ{Y}r#{Ni+e@BXkam>Nq65vq+Gl*7{+|m@#{DVFkv+XXFjh3r> zK<2?02i-7~DVb=!WY;O?+2CIoUvD#NPsm^T#sDWM#b8ODi)F^enuAGJsU4K zN)7p}zUjG!`sdgs{iVOdz7*hk5`-a3QgkNkfBi55Hw=3h9+`oQ#yp>74uH+?h?|BJ zCOPfU>$O@Hc9%1P{uy8lu?1}9yr%xGaaK9urtUzy@tXY@`3)QCU^JAMimyo+@0DG| z;bp{Mk{OVLgR7*&K~Z%VU=P9JizYq|L$dSoO3A%gM3buS+KbKiNQ`f^kTA9W`cGzd zI7}0Gf$+^bRZr~kR)+|zoBDytC3blJ5wEz>e}Hyaac&#q5E*|KMI-PY>`UPt-;m$a zsp?~z-jN}3AT#c)N+@f;v$)(}tJr1CoxRO-5}}u1l;%;MZBTsH-Aa&{`FE+0aN^H#E~mSyZ8n@?|0d zzXtP8!l7d5?l?3=jGg6q(k3bQ5v|_z`%Fj>!`U_(Iy#PS+G6bQko!AJL>>AyN@kLh z1T}I8ec~HQW83)BQ(nMb1t17gYu;7h%yXhZ<8_eDW>oHK02o7$J3i%RpN+yK@PP5- z`64ZyRJqm>qdEfBB@3fJFgIpBM^-RqnKyKPHVHGtPz_Nj-B@1Ad0bE#619@dF# z)X$I-u#_wsraWnu&Bp-QzYNepV*dFbefWTjD-Mmwt6jH8@NIu|=mb+d3I`fiDT_ZP zGgm*>4|zfkx36f4t~Fh%{hbYq?MRxD9S0wMt3kAYoo|Yc()%ubT&fhNUw02Pd zJmKmi`)BxkXlY!d4Qe5-4$raFiDa5%9lJx}G&WREZF^@YpF$d9Ea}cU!ssoii*W}) z;`kQfzx+m@94o%!7HfT^9nnb9JUki(loVb=JOhbSEls=AzJ^aNS=Rg%BPo1lS4YrD zONG{rHE>jIahdhKy~Y#LJOu~?#{y^#jQKTelK-GC9H(EjM+c{M!9Fp{KjA`)y`ZuF zU1t~fd+^xe;);$#iH>U3#mi&Fg8-ejAd^X@iZ1vJ+dZKDHV8~#GoV1=I~jkU8f5?+ zj*Zq0C}F|S1L7mWXz95W=F;udYK2!gPZ}|tHR1(3f4(Yehf#JSE@IFCJ-%U>?|gG- z^*_>`cPckR>oizS0}s@xIJOq9K3Xhh1;`bP15nTCTtsVCM$58qm9Un$;c4lJLU101 zv^hh0e|Uj7A>;^IXlPS*;K}AyDT(HRF`H&>XxC7w`gcBT+kq;QQG$cYN zi7ni4=IrBL75wTFBle2vb0~jEjr5dn?L)oqJN>yI^Qxa%XGLe^v;CybHBiog>=UtU zO5=NSQ?V%?Y3x!(GG-4-fJ)WWD;sor7p_CbZ=j@$YstlDtIl|XpfY?>mClQ?g$r4` z1fV96HzI6^_&RnHs(X%SIe4MB&>}{|_#lC@1VMLABkhC>M{ZHD3Hi_ihe;Yi9F7a9 zDcYwgfwcm!Wxw0e`8NiB5syy(R8T&lHHwdLCnTXAhn%(o&|k@9p%Z$I@bON{3^b%z zoUs)BGHibYvgID<*UKGB(uw5Ae#|>Ewows{BxUUs9AF31R(E`({r7Npd|2zIf3nq6UkY4;OB-}`0FW%Lrkh-X1Z1|l zcyz^P%VeKAs*>g}FS{GH!Cf3juxXl7PC&Dv*P)Ug&bnus8gPr#VXFAp!a0GD&w}DH z1R>)SJlvGee`K_bYZWbG{m?J!^!!T+vj%Klqq_a`pGb@Nx_1Bd?|=A^AL*1tr(9aL z5$z-aF1VznCEwOx3cqNly1sQ*`I^1tk$g=@4v>Z7l2ksa^2ZMQ3dk%i-F37R@kyo9 zOD%{UHguk$eGtP7`D}GMfti(Ywg(5F)CF?s78|C3DCh$^DaDU=1AKNGfIYA6*XumT z;~zfdMc05ceG+j93w8lft_k)2(p41Q4j}ww&AuPfjtUNn*u_#VN2e1N@$S%lgak#|Bru|Y5T3{63CyeVdVzR(yV09wT%0|NjY^&g>5^9G7#rf|ANRhII-+@H6FS0siOY}UcE zC*D%|_AAHX)Sf#3Ya@{-4d1C~9d1XTaDxFd8C|h~8xrOo(do}8iba~8Om$Ow@6PCoAX)rQnm9&|; zVaE&$HPNQwG*zbp&L*xBJM3r~2!r05}BPhi06RkXufZ3}Y_ zXdG?ZQgfY7^#%dHh~~#_&Ee=A>Eq_iJb2Tul+kzG42Va#wL2=ZWebM3xQ}AVwQHV# zQ|;?=_B-VxgUbcJU$+;6Q9rm(ILq1=>kCdYJZU;CRmnA56XIX&MnE@V# ziYaV;(~G_e)B7}iy{~Y!?|z~KOXnoX<91?CCgiogu&sq{Hh?b1lxL|M5o}FKBec z=XViApX(?>6Enzgt&W*?6OIUvwrY+SyG3LP9p37FQ4hYw8Yr%Xp{-|iyzTx za`Lg(k-BeW4t(*04^!Vy#@qm|Zr5*Q_1P?<`4EReJY`Mj@YZbl{H@$_KntTR3@pQ^ zn(t~g$SR50T)_J~$Y762TseJb7bVGX84^*L@Wz_s8s-7#Qg}#YBH)+ug$lr(-KqC&=N zqN6JriSZ-~ePqKyvcR=M^m^M0=W*i2nP*5ygI(LDk$`%i~YopGAsS& zdRU7O8pDwpQ6+5-e0O6g4rJ4KodWpfjW@|Z?zYGezqE9P?^#8Tjx zZ~bq7RoV__V9~ZcgX|oEzg*#hX#lTii(Tc=cwq+%{tWgV!#mI(1Z&$lDLCwQms9R+ zi-t}U8+EbaBnx5#UL++1KAOX|;MR9I1fL4HIM{3UDr30m6|gu;;GrIB8Vh#U=JY>2 zyP97!JwQ#SFXHWs%1$v}>b_}d5|M@5J=ApK794=%iGkm{z64MJ*vWGChE$z=UN^P8 zJ-n?c**Vca23mSoYEnzn=}0yw+f-(W}xUu=&dQ|cY9s6b~3A+zYDiC_HFFoHY?clg|IrQDv zYgp{cx-JXIta{6vFo}SjLT8G0(xzycLng;VM%yY7y$(JoimKXu;sg@-5c*s=8d>LSn!3`!&r~;Pq-{$96NkCU$l;EvW~#DPP;1J(LisFbJvv? z$yd!M-lu_@JyzQ9$XuAz;uWeY4mCflaAmf%RbkcEOS#%tvJse)f%*j zs(Nt+ecwu{8PSI(tN<+!_ZK{FqD|nJ+jem7=>fiSP?J*Yq9J?8T%At)n&g6Yk(#E^ zRe5V2-OVshDkpKdyo43|SK zIHrG>`Z27^v2Wnz@ILKmX{0kYJYw)L_d|4xnaW;N!&9EZjTZeg?t%#V9hJeNQwSj4 z0fDTQb1p%dYJT$0mCTVyO3htRsz{11F^f?e8CjLb{~yY>mlo`H`WAM<-(# z1I)8U)_dQHyQ@|Ne%eCfl;hF!0NU*1tlQ3TQ>JB#yRUukLIE5q)hLvwWCQfgE(1s2 z))t=&+VUrTw*5{$0pRcGrV4{?6#DQ{T~QKC}t=(%=oqjkBryogSa|$Kt7= z-|oJCEd|ZRRy}^b-Vb}QF1MsI?N`-589Iw=mLQ$+B7msl2XGwx6Qn}sgC#KAcUAP0R$2Q zBqlpEA~T~hG9phrDl1D@!g3odgnEDwBTJy87HZ$YMc6G{wuLe^Mm$tbb!npIIys*ZC_ZuYD zThfAjd6N=P55hm`7Gc)V$puF<#O%-p*k!A1{pBrUMf0C@Yq%;V$MjE*ng9FK03(c; zVa*hGtZ=Q=Xp*=M!q(tcqK=Iq)i|RU3V#l!AAKP&8$Jh2ODCuUfr>VUSiQoTSI=LNxvCE`Fa?x2MVrg@n$dA{yL})#_x4Dum~_t@Q+E zMvLFkz*tyRs|t>50*TO&ngoRb&*tEN19@R~Vhnrw_EA}Kp%(hK6&arOQqdv!dnQNA zmhca2F`~F9Y4bF*g4nUZZ7xALG_^^ZK`}HqWg%1RI?J0wZ7khN+3kgBAxjsH1T{-q9WF8+(xHv-_DrAWn3wFm zDA9UmT7NvN_<+ksgWG(tZ;_$#1%;D#zT!ar`2fohy)&@19UNTqU<&MTE^tfz6jmK!v|J13dj+GR1Ehi-|S) z=^{H|f2s3o_-s#l_xZ%n$#j_7%dungt|Env=GSAk+0eX#N2cd4zWHpj8}YUR*6y8S-{UPX zJ)4{AOj}ZPPscf_>n&?4crkJk*Wrf?Hvo{pzzYo{X|1*uDqu6)peyB1#ktP1K8}A+ zTL?!BD}ebH8xTX^h4=le)#bW&K!;td%k_tHK{|Ih?s7WM&4h7~qASIE7sa|)i%sr1 zGVgg))gAb-5Nw?2GDp(z$g1{*qSHi(^w45AxluIwTYz0*h*QDA{P*ypgKduIw{@xE zP%0fcq!67{x6gQ##U;r0b(sQ>L`N_FxpSArUT?4CTofO$p5o}@N2+j;b>-@iTZNgh zk9l&XpOcGzUd*TXvbizP$+*1GptE%-FT@p0R_4##Seeq^wJCkkR+>_by@bm`D&mg1 zylYHq@JXGUq2So(XLen1G8UXzg#z5nk@*k$X%${6`m-sxQu3a1=h_#|k8VvfTC7J# zpwPAPy(AG>a;lAQkE`3Zx>oIgDkn~!j(fEaf_Wb#x5|~xs?lD~)GJ^@0P}_8=;9;8 zcgEs9-WsbKv9t|uF5%71<+C}P4F0vXK1o5E|78^~CrIov;G3@6WZw&BTTb%Eo|jy% z!Px}4+~q>n#sgjGxXroYY!N2R|9O2@dKbMjEAz@uyQ)=MU=iy|xCz6==}L@yo(tZI zwyyG)rbUc~Cs*5z5ty~xUiANRl`J~JcR|_4<&)Yz?th+*6@vIL+V)Uc{v6&B^_OSVr!VG^S%2+l3rD4o7I!zYe zw`#2rLOc6%-K}@sq05T7c!Mlr`aywGn@rrmi*Z*OxQUenWOhYiWT-Q)5G^-gYVyP< z%g!^#IBbpqL0|^i7^)P1S6sKk9n^`zQkHjP#=@g9sw~dEFdj6Q)I*B{aXtE962^x7s$V0e3@5S?d+kseF}1}C$-a$k$N1;_ zKw@)o}&JK6SG^E*+5Sy_Cye;CklSwdYQ>|ML zS4#0ZZSs9U#?NBf(I88|OkRpmF&!Fl5@>zfYM;z+I|Q!i94j{KX%(c`(mTK9$~!-# z^3E4m{%ZQ0HPzYN->8nWX1ZTkQ}^wft_uaHUKn?M4)2Fo()+?ndS6^g|A$x7zgcKi zGY5wWD3GQvG5FynhCfim-~B1WgyLdWgN0s${bCv}qjfYA>8YyHVv)ge06lwAdvLL;-XvP<}jaGFk8e=j9~3Gh`2? z`B$?)R?X`#aSi|aD`i%NdU^eBr3#A)jjSjfO80J6Arh=X@Y3T11?1Y5PL$dNqmamA z=0qm|X&J7|D$+ygAl<4nM+n~<2<{c#nAqZoR!1Bc+k`A(;L`NSLrc;si(4YqamUG! zSO{q)%{LGsctU8+v?~GZd2KeuLp6e{0ycOe*^rsO%sq@{EE%Q()XK)-kAj%2Q_(j~M)k71*uKc`Ffo;R2U|rNc5mnku+1tw zPgYNN3^!Pdy*lJ)mT<^ZQZ=<#vQbyM-u?X=wSM@{dcmQJ0Of$H0-cX$li*W;qGQn( zz9z)h*EeNfN;HxW+VhK^nAf9)8M-EgF=IN#jP@UpO_I91=f{o^lzSuuUg%Y`&O0#4 zupE+*9RX@uwvC|+(Eq5TLQ5<^2<8>wgQ3UI>8pTe+kK^PJMjUvIORpku+kyC=#`bY z!%vr`-+d(kycUVrR*X>$_f?>lDQ0f0HYO#fUAC*`whZ4qDfo**b8eA^kPKKEWMd!K6>fWa85`eWD4kT1&@2C9$#2iZ)+UgAVYYY_jr7UI`Hg zt$b0v{uh7t-6VU8=aH-j*`!r@0Ny9eW$Vzj9Wy6GYHRuC1b7`%*}n+S;qY#>g2m5< z_Jo5!dA3M9)Nq*z#tzwcyuVt}QsRNl4n`yZ&U4Pb8$dxDUSOoVfKxs0@U) zrJ33`n$mZTFzY)8nZLJu#|K^&yIR|l+?^(O5Vb^Wjtm-K+@d`)p&W~&2l^a+v_kK) z4ch6~UjYV>EL`~b-;>GZxuM1PfPF51$R)w#w5rfdu9=4%F2k2jas;z-z%I8^aCnir zAx{8007ifB^F#s@(v#XD8eFYk|CB84xXp`Yk`O3gdIF(mid@fpnD<$1xe6-ZZ_V(@VR@5k&GR z0oXq$_jGbsC+8~~&#D;iSH>bh0npT%kCkNcDNEu4BG#W~@%t5xrenNSIgqqJmC_|oL zI-cQlY4I#e>{w?=bOuE6)U3JbaRH?)9>neane;vZRBY0asxpPMnO^?#nlPWJ7$z_9`Z8VPSD)nV ztFhp5P-6RTHB5{NC~Z*~^*4sNHTa2aV2;mUFoQMQV*H5DUr3~T|AnU+K?5tM&%hTJ z=9bus`1gQDmDi0W5<`oxiGdu$=|h>=0M0S~`k(vJ9_vEa($4ffYvttqMqeH?lcVtW`Did_3*>nP4}*?D=GVQI9@p(;k(}i9^~Z z+&~u>>f#*1m3gEsiZtQ^7xZ8AyXe*S3tAN^V@f|9%)YqtQgEz0Xx2Hj%l?@p0#{}>u{VmO z4RzSnyyYB|hsuOXxz=9qa(zed?Fsg+%EY=d{a)t=^S3F1?&%**XF|OzLmn;CgqP*U zpbM0810(8pJJS8N$AAA~oY>db*yWabv9*V{TAN6z|K`t@!J5~?G(Q@MIVFa-fpmQl z;nhcTeK6u@A<%j7gWp`35L%4V00BtvKngC z3KR9R@pZO08{Bz(#67+-!alxG3uyDA#rw=5YX=ta3M5x*{jp%dXd&?9%W%&TTqREy z#G`scbd?r`M}^lvsVFaVy92fC=A^}JsdJ_0>~BvLsrw62d(|qubnI!RwQmI_9P&bD zFii%;3>iQB>8DS^r!9KF;FQXasx28BbUOA-@U1iN06W3Kt!wMM6gzAYVAo9Bp#}(^5}R&ED)}k zY(DBlw@rA3OyxO1WFTo3%c`!`4s5zQ(nZM!EzWifFVx~PI8N$b@jNi;!1M40A)V(= zfn`2t0Q*+u$1FGR+GF-+JqN)X@fi1fn+em`U7F^*$!i->W}7!fxlVX>Xk0sv7Gq=X z>GP^vQBzFnmdCv0AF}pZ`=Q=Ob*3#^LB(~0u>k8228?as$nc7>VgaPMd0rp;=zXVn-!B7=N+ zJK2!7E)Q=hfbZ5BFVHC(kpYZrS}jaDx5r~xNwRiUwOLeRL=7@Rz_z=1nMehW6~Q_q z;?D{Ye$5a2nW?8}2cD;b-gvG+1uIW6Kj2qptpWor2CDiw^Znw|g$^S0C37Ruac|yH zACl^jD)Zh*;5X+4>{YU>m~3{||2ie&eBdM;TLQqmuNoXYv!uIfgCh$3y+Gme1p5J? zPCNx>)#wM`;i(dYlD63w)e*07Q?YzD;1PK`!#I%3A!DC8>8hWv>YTQmivgCaE_0a1 zm`6_R1IrMow$zlo$!`=#TYj0X+kD-%a%6zW(8C#_K`lB`mJn)c;dD7+{u$t@gJ+~w z^E)8+%*#p*ui}bti>MPYFAJT_n}brGUYto!qCRA~^PlPD6civ`iY|66b(wvU-dv$w{+H(Ynb0uYHVBb?NI7W#xgI+uWA4ic{-uFQ(V(9Fi% z;0V25=SA^j+ACupdmre7Sp$B9lFIsKVGHP9xvtnnf^ zso>j-AJRsUKxG@o9Vtm!E0%*a%gqfu)*WvY^8&$VsLX;aCwTh5Q)sg2Ic#1u*kkUV z%N%rZh$*<)DPL4>VlT@*X0VKCrq;A>-z;^Ol8(soQRxj6I~-|eq{Cw@Z{o(%^QF_x-mL&k9{k_KTK!OVNvhwKX)9TaZo;o(G!IxB>lm$rmm5FG^lz zxXw>AvZ|_!7SAj4&V0&BCZ#|uOx0ZcjM4*kf5O%8kZfK)rQYUd{_;|pb7}8QWm)gN zRsdaHnOiVQfnF*JmkH*jE_09lO>#u}0S=P_4v#)(W~E;=%ABP~4Wf%0%#!@zDqN($ ztU`QIh54lW!Btqyor_tY{Kyq(ayb2)Pe6UA4f0@K7 z;0K+*Q-Kfkf%uSA*iPY#Tv;Gv!hFk)U5!W8>6x{V_fF~as$Oe-vTXgA6#l~o-?1+{ zcPVmFJ65%&LSXiTE&BuO;4IsJu^DVZYL-+uDx)0(l-@i0#2 z%C{Y;toZQ4$kCtPH4-==f1`)$>XL`!P zf}10@*GiF#GI*g%tt5DG2B*)<)WMM24_7Z%5>aZf_03Xw@sKL;)y_&{s>4Rrhf8_U zkTP=DYtZ36cos)9a3IVyEzOG|t)~>H4d7O?-t)!ot+c*caoWfd?7?MPZ%mswy2~8v zq-Y5h=Npwx+;ztZJ!{zi->O6ssGQTYn^w+mu$SrnyPtd@z7T*_8Ji6hktR6Yi zr%8Z#uQ-jq@0}vajLB-Cn;zDAQCDa4PTgM%ee2V%s>(cN*&bD12A4@1QX(HsJY-B? z5Umg~UM_ys?`Y;azY^lsCpx};W65<~!LEIhV*b^Ca)KISuz6|9;1|7(>;bkj<{0XTEd^;&X7yluSXF=qUMYEmVzE20f|MF2>aN@08-M?2`i@&j z!8PO2Y^4dV9M?L{c$QbDKrN&IWKQcmwTcYrfsBB9#EO+ksW#ZeX{QJTtB&?$Qyq9` z2ZnL6;b+$d_x69Wq0 z#wd6E-a_+1#*wTFZfG-Prhgl%6JkUsic(6GxU;|xd#0{(#WH#;=blaxntDt(I~EzS z!7m8t2oGf*;*u$)KmN%842UYXst3(5E5`n zRcAF6X-9Iqyyy+uE*WS!UzMaxO_xL{7vS^s*B5*o%I*9-Ey;o33~k`BTj!k}2l9}x zto}159_czQgYC`4|DcZ2yCtC7N&nB`pIlx5EV{05{Ij%!1)0V+e)v=%8)$2wmrhRwl+oMZdRG!=Xq##AvW*$^0q0VS$w zb}L(+4w_7dn(+OGWgVf$Zu7PSrLTxRLA_ zg(rUca8S6~K<)AH?<2eC8(Vln0vEl`4~v$>9@WuL=-)-Mc~czE1`tAsN+r&a61#l{ zN7!lMkxSx8OHI7QD7qJTlR;n1rp=>PQT>1+i@C2;HDu6^X%adjfUcIKxCYgEp<|p?CcljSK`k!YI`iVXQPqhw0-0 zc*tRNDbEXxBPfQ)M)n^m1+bJnptuHhJWXbLW2%JolZ5);F>NQACGy8a5iphl+luI1 z=;Pbb2T10acjmEz@r0RwFY)h{g&^2~CW;@$7g=2MZpblYp#F$0?5_03SPD8%mvWiK zkKwo+S%KqUWVl*J2)=Wm%F-sY%-~(kK$=(RdHB~59jZou^y?r(Z5^(1Xw=!cggON) z2mVMjDWZU84^y+p2DBJx1oR&`I@2sjK<)0)9CUHSGtL(6Tb$DYTrjO4EF#b5-*`R& z?{qRnBU<1Qb#&x=2Ft}xQ0j>=6qJx%%3BUlL?+1^zHiovB1#ZNF%5HU{97Zyg~qiQ za4xj&J>p!@)=;x{mXU4@a0vO#(2nfj{sfHL1}=Lr`fblh;gv_q6^^Q%b)ZdD!KWDH zvlkg?4pWAz+oEH1%qo^kR$e9zT-U%o6s?eLoxi*kIJK@z4IJCpbz5tvPWxpV4ogh4 z2A+YA8-_sTsL7r?jmw;ChOvCdt=BpNipr0SGbw=+3Z$qFsn!GMin;M_L> zPQwar$@h?mIa!1A;xpS@z|!U_iPsxv^I%G1(UK`ada>2M{yj1!fLwAcfSE!zq~%z& zw{vQ67-pynU_~tO)Ke{3xlSuuMi!24i=B*(z~VRihJD7!z|T}}!L5^)QcJs+73g}0 z5_Bb?IOnRfQZT)Dcn4^(G2;JSTMK1?lmqbSs5f%iY^YNn@pJ`@qpt@iKRG1D*PMDu z$^xq$bT#T&aL_SFO9`y=fFpX5B!O*MrDyZZ4SUKt@};q0FtnoK;*J+55%wpVYPxFw z@?ZG$2~i~drPJUM+S}TIfhl)5w$-6`6E*(;K?r$O(;sq0KtCE$f_)Gw%}TZB8u4-B z4!Y*8wIQVy_I7^Ew&o*X&Qsca54bX={pw`iNt$~DXg9-+e$}XSy*n=jVXA-!nv_>e zb!*-1)ukW~5zN_hVx7aAim5EHqpx4G^=@QP2JamF(ayp##AaZ1f}cM;Xie%H<}JCa zb_I!btw)+pWTtLQL`qcbc#8LNjqZJbjI)_`>pio&(6_rRKUfu2_N4R}7lSyDF-Oe9 znhZ$XfbluDaANP>GtFVs(Ri5VW6jIwBmwjy(YHvz6Ae#|xJaO~KQA&5!Xh~POYdy`xcY4YBQ(2%b)vt0jl z&YtMF+UTmTfTTbt>)`#`2LVPyy+`SOfNh5Q`27#B=xU)q-?4Ngv?~tmb=%%-pDM&9_b89;AhU**#E?9I(8a zesHxIhUKFjkJ0-ZOS?4>q@w18{q1f|b-FjmG~l@4RJ~-AuF~=}Jgmw0;&M^~&;JMt zTWZlp@g&hzOB`Cy4RvDL;nsLjH62tn=m`DQo!sKnxn5@zQ7$7*W!S%Wyn3cF_W@E+ z;q{DHjms{>c8O_)(H4NIH&#{xNLaR+8FFbcDf;H%A`T1_%ma^UG95-UTdOtN$bs|p zjV9)r_x?f@c=Ujia3WK^m1=@q2sMhtN%>LjtK($D?I*l$%g_)^x&8+K=QQuSmlxjI z==5xL=L0wjOT*k(l0 zmDzh`_YiOYs!BD;nR&NEBt<`$?hSasuSkE%!C_LKsF#2!OSho z5cBzK9O(PK8XB%|ZpXk0+9As=7qri75Ru$Tl6&KSCnb?@+F3;y{xap=3PB|D%kY=} zMXuo2b#+Q5&`{&oWyK0tLm8;Xoyfe40iVp5Q19&*L9RI=f5d6=G7uY@; z5#o}yG7~cCir~Qskte(-ovwYM%@lGRn`8qQe!T?>lQ+xVU=t})HEjq2ia6vC-A>=d z)FY30M!_9{bV;&k$^Z4+8u>|U><2&>MDDy-Flb36t?>dM=t!E(&q>JM8^#jZsWYPR z%9QbWHqlC_K_iQVgF>=?uw5^jiyWs+^pKc$fioFuDugCq61JSM@c zt7FJ^oQp~0#fcLyMD^2VoM`=U4>Nc+XUMt+?$lJqIPTO0ntV}wZ!K4y&pqhdKxn9H zwOZx6d7d43i++Fp@gRh}2_wJ&BE-)dq#bO5g44Ew-!gmvYz?AT`L8ymtrN5)Xx$vT zhLN}oZ^Zl`aauHPNjM1o%-$tyO{t;(rZ4HFISWb$zeLhkmpOtrYY|H=MtJ{Vz_=Ia zprGeT2U5#1tM^dHN9oB>9R>#iHMfHM09za#Gm9bmurXa1MCpRlHzhDhCU8YDu#Dg* zJ9Ml+mdVYWG*8;@zu7v*?U>S*%<+L@gx^Ndq`XNHjLb6W#Qde2u%g(0A`pW9l%Zq} z`xC{|fuqD^(wu0Nehte9k?35&oQ%Yu7Qp>QcEVVHZ$1%+zr(k>iHiwmq$8mPZJkvG zJsE91#qMy}^%bXui$#%rbha5fi3Nn&nKJ70$-(jZ%CmWkUH8Syhe6P=PyT*Ybu~m-6d)v!F$`zq9*L&7p(BXV$}ABCauxZ@arzw&Gg*5xl%SSDnCHl*0#sfG zUyP@`9iF32Zc7++>|wVYS`iL)2F#fL^Ub}55gTLUFMjn~Qa;9$-U<0=bp&WmAC(af zS3h2y^`Z)CTo1k+9&|5P)TeN&!Fa4O#K8ILp=0J6YkVPZuHpIEh5d=vIw=ORY-B^L zRAhx0qApaSQH2;(k$`LHJ4>a{buYyAdQkL0LVOZ3)pA^iH4DcF6${fM_BzdFmn~I~ zh&8l;dTFZckUALqSJnLBLgK$d8Yx0vaic#2G|>bo`2jKRKG~j#y5G~FzfkF9-z-ck z=bIpU0N#b=S@o~~@CCHbxPr?RO;PqvLXzacr$fjB9~pyb?W^zqepftVa#5i=NkDs( z6JWc~CDi2F-Gfs^u@P9fc&4AI+f#U?WmDLF_Z!=O@IV5o8A(m7x-RX_Q~I5H zJuz_K{Z!!|_;9XGFx(gFOordy>h|z7&5+VXyJE|+&XszimDTR7ys1@I;79KvwvB(| ztB-jivfDdicwyV;co`b2EU54xCvZp!04AH!x>f_;Q@CjHQmUH4tFDJ_cRYA1Mo5c` zOW4hvO$T2rTzBSWbq!XY5%v4zfn2p>_8z*tW?X&kASr|ZNE%yT<3MRcLCvSe z1DEWo?1VGG-!DM=J_dlVAAvrJcS>#3Yx0A5o`Vw7JUpos$HqsBxDA4TDc-@62>6n1 zRlcZ#aWK?NUPwPmYkgZhLn$rahnk2?S^*P$;nc_-)MN5Evb*ItCq z69;&VzsM8z$sES=ElK6$8&7ddhEGG3@Ne!c8}-HHB2j0a7Z^Hp+ParH-TtzV8|N-^ zMGnY~bS`Jivee;~ywdJQ-HWy);@`%Am zzRSL}gNTut7rBCYC8s^4bNWG$XiVo>&Y_xu5ZnVi_Ja_SA{JccN``kKsm-!413wh> z;8`}$8M-f+P84039|e+&A(4%L{eveABR8mG4KAsRvn70h3#Ns5Ox0Ee08xsw+T)^I zZnrrNoeSV!?yqZ)JJQsfYX_BW^AW@Mt9uhXqgZ6UXPG4NY4dY6R^O58kB7u*adh1I zbil-xMyo6Gr=0O2O42Xj1!^K{#1a4_kHLg>Sh7-eiw&b>7d&jIjZPNQITQ6%GPrfst=KXx3C zhGUX7>a(utkR+RdrVHrVw!pMHnT#JDfnd$Y0oBh+f5_Bd7_%=q734@kp-sQiI1EcW zxZbLhZk2BZZtP%4#`W3f7%f}elQ(=A6{fJN0%6BaVk5CeYV=!m^91x4zBfSxD48Kk z{7(0=?LeCd6%_zjX2>`;OJ4$+RbFVQ(@57ZjNA|iGh+qE8ZM!GPGdIDb3FjejM$nSF3y*w!0Y9kLXeI&WL5JUYjG~`#Tk4dldPB$-l}b#KaT=e^et6TKhcPg z^7$S+uel<-rNSe9pIW@sIR)T6Qv6EoJ<~cWUjO*dzB^B{=VqG20f)wGteCaUq4}9j zsg8YG@tI##b^}jCbKPw=4O~x2ZERab`LhGu!FRLoXk4EFw2?2Xnk=h&OKNr4nx}R% zt0?$LOgb4?)l?>}*@es--TIQ%`=K|0*klfu11;`&XBCj3hQ4s>_rt28(~S1N8`4=% zg?&+W?f5krx_hRazpFNze4VS}ULq}qlJGXM%MP^rKA+8|z$@ak(e%w>1uu%7+Ga!T zafoA~Pv+M@7P7aQM~rr_gU;GATfGLGQUXc1R~tIEUh>AmB^6u?fU=}vmM4#Lny}`x z$t<@gEcmj?OM^+%R(OPL=Ri$Ezrw-2Ma8us+Gzl$Mw{u)Tk5o*0Rg0asEP^-4;OeM{wZL#k)jJK>M2_i3lKdD=fGFGT> zyQiFe3J2q4j)aw^s^$yqS^Xwoe>NF1PJrV~^?L`S$Vdw#>ubZe32nPTm;=2aJAlK5 zeJXUq_X{d}IAnkZ%EFETK)uu;qn4%!yDl&B=(ZKykk-_}`qU(3|d*j#nO1r^W5BK0H(E6 zu~KHvu9lz8{&otwAE~hruvS^4cpqy`-zE)Jn8ibyTC|bTDug|t**VO8{@kzdKQ z@=rtA!X42|cx1O-!R(UH&q872d!!p|I}kpssV;Y0>ZQ;4_G=LR=?;Cug#~ryHs_a5 zT^4O9DeXmk)Nas?&(9`zZmXVh6Mk_;OSQ}4Tk}N8H#yaarrM!Vcy*u?anD$act*0R z3_9bn9Z3Hnq=7pH7v>GzG8MSJj;Nj7p;HR;_vxoYg`dslj95c0gF*D#Or;xm)jMH} zcTwtz1N9_ov;~OUS{akSdE&iHI*u#m^URRltmB)a6ijT?K`MQ#;}E-_H97x4ou(%! zs3GAyRYC2_*V&csqWLx*&SjX(H>mLoiV0CPlYI{8D_N3&f;Vv8@qmKp~bk( z*P>s6BHn7xz?In{$eW!7HD#IN*iRA2DPu}$7V6Y6BLVnlNPXFEvvx@0#$;-pX#>jm z!W`Sq2;11^P|;6SLGwj2P$h96g)2fi!AEOm4JRf*`5ONz?O0`ptk$Z_3kI@Bz%g6X zrwWeX^0N_;3Z{zm#PsNZFJOXfPGY5vuP;UrG~yt6E`J5xR83alu!UEc`84<~o*zzCv`R0(xS9N!3? zQCYho-LV)Mvct>PsRU8dm*()kIEN4Xj&)lLDmN!j#fx`)Ow5B&cn+z9FG?N0o0@uj zNFBYCI+U^Xc?f(1@X9e5X5hlC@&Xr?PU3olz=O;pD@&Qi*+e2}SsVy}jfo23t))i3 zV3vLTXzxR_Kftfe09)I~3@N!81N5{s2 z6nceC=G&E4Z3m1A!v%j=Nct+7t#}$yq}JrtW~CJ+;BW(GIka3jmv%Mw@~lX)d9Ex{ zd>Zk6ZZp0v^g>|>UBSk-wlg6C{Z4z&de5t9TF z+7ntp6jJ7n8VN;cJFi4cX`)b^=`#-f%q;O-F%tSI4&}8bWtYtMj4HGl0z7cD6k6;- z3-zW}mIm7$G;CeMuRm!TR;DvB`P@h?=1~N@ChnmTW&;n`28WRTOKqt^O=}Desl9Vn zW8p&60dpH|=Dwkwq<3ozZE?Za20&~>{6*cG4PK)zMxI$|( zT>c9Yq}gv24o1qo?v6$xj*EO1)z|c(aHWC!gC6OIqt4(G@uJwk?g4Q4nNTka zh@cg8B-`}x`b!iJ_K{2J>%2=Mi+!*BFTfP4Fg z6KLec@s(6W5YxWkFx&9SCr% z+&6nwQ`uw(zkc`YKLQqgh5iHH4UqC?eSa~Y?i;gueFhO$)8S&3l*4=v4mZZ(preSk zPf`$%`GE>Nk&0UhCdu{LF|Cnx&Yo!Mo%wRPfJ4ud$fOCgFRZ@hLErK~udZQLtC}|a zw;R3fzz9h@QOmpXti{3fW$-hugeKErY%<8GbH2YT)a!qV+h?8^EyHwFTurB+UqIOC z#fQBmjbo;{E*lgVTezX){dt$2;rc|%RlT*Q1CWlM!FhtC_ux3QM<|+j1MqDwJ4f<~#8*Zl-E{`(^8g-wn73C8 zJwWF#7ZP19(HkT#qxL*LQ9dNlnF#c63gl(|F@f$xU|b*z^pH z$>8*-T6YzK0eU7vQhaDn?r4OBjFf7;f`M6+ZB~#rmoh*SZ7Fc^A0j<@Xz_N)F~HS{ z3?eea5vG;`nuzrMYNg<_KXBa%NZ;4gE3K{?b=AxIh4z(#tmYy=9y5+VUGL$9Kd@(J zbP^vbQn)(+zjX&jjn7*vEv%ka(~E~7%?3UV88;vMUQL@+LxwSR9Tie%fc=9*{AJ@G zvG3zGif`>3G()XPb5zE^NV^y~I=j4`Zdh#9>YF`5D>F538Asr&1DU^-c-so4n&zt% zJz1l;@e+=q{cD%MwCV~f-#XyZ9g`UrqS2fW2ShT{EPzXUO}ZxdpsqsoS>k5T1fOpT zg@*+7x{d+H#*XlMy#4mAU8MLt*xo!uwSjHuhubh+{wgu?nN)U>jW?=ZFHn{~~Uc$CX4VK43G z$caKiCek}~JfJcF?&3;vQ8Fj`9|pr|^f2bWB@0ILGqLO2712!HgQtmVs4lIb7D`O- z9zO~da{CWRWxbNgAK&c*_Wj4p$D1Ad-}a9NqrEiT{;X-`0aqlGd!V*DnvUIwR|^?P zd9$-9XW5goX267?pV;TGVK}xeaLSlIum6l6#m~jz+acR(!^Cm}I`>%5u%h6>w&ic} zUGe&Kv@yWLDF|@u8PiGbJw(BnG6L$ZgWDkb*$V8)B{dWWl=nb3dl-syiOUEkEYAVW zR}{vs6~|hb<2m|0f!W$X@YMz+#C5~a@+p=35I9!oiTj5OlrY>pS#3ngW1F%B5f?~m zK_spmPGH4S9?1;Dm`aW5SA?&kc=5`hM7~ahcsJaQIwXuz(O&Dgjv#FgJrR*%4X!B4 z&yoU8^M8KQ{+0`0^kIyc!L;GQG#qxjEV3P@#KKWBqLu{Q2XMW_HUoWspB0zB)J{nC zND_1f{QH3hDY%js-j}|ccnN~*EcW?p;or`XbWq+GX}#EsJY9i6gjPR4WVpUuq;!KI z^0|1|__zD^<1x!>@&da(99Ld40o`HFKE9HqX5nv}D~&GoxK=g~reknwzLE4n;`s2@ z?K_1x?h?R2JGuqiE;>HlRb*9&jYuEQDmQ^aR>3tPVg*CAbQPF_?ew*5f9`3y~3?Kt^7HV5HB0zA8sKt!} zuFJG+$8Z93>I_Ob52T2w-d;IWq;q7TD^~E_7+T$1R1w=IZn6}z&uKHw#qfIsenFw0 z5MX(H{nhv1<%Kn~ZL}PKnNE9g)`-)QOmM7|dDl6~?6!}6+)kwcf=k97U#Yd(`qzKh z4W_j>EB1e-UA5e<^>dJRmN=3p3b1lB1dAKA&yj?DwWxf_e@Ogx9$!9V;P=p4kX^50iUq7MM@pCEmRS-K|G(@aZs( z`%v@9y@(ZyIfN~wT$A`cpTA6!YtdqfM_a~J;xwG!Ht!;P5)C&*)XziMTrZBinUEn& zP%sL-MKoL@a1+s$V0yqsP9=@Of)WPjIMX;dkLwu60)gO%el*WL#syN5z!dPj2^@qA zqzM2zJZ%aM4&eIkyo3M8zwqf3oIb59OvvAMRAn9YaKVX8hZ(cj=7>NCkf0DV<_+TO zHZ5%(>^in1#Sk{E=aM2}kgC}C zoPRe9CzZ@+Ex`*0rf0mA!A~(`hE(ujXHE6g?9W%qcS0Kvqto0@B4h*zF#)nSpqZL$ ztp6qwB{BF2Ffve8c|7{C(_~z(2Jhd_Jz)&7b`6P+oJmh5vcTGqjq6(H`l z?~H*T$lJZk%iGb@z{jZzWT#WM!WC1);EY!)5Yg&!f$)n3==3Wvzzq*+T)XPrzSo2R zfp-pce@M`inCuE}f`V69t+Ffm5|j*62@}xKGmybkm|&iEQvirng`hlL?YNk8j}s^6 zOLxpWnm46&!X{Q%boyQ?JzyUO$Hmlj^xUQ08BAbj4&ZO*+aib5DpLD#WvQ?!zR{~8 z+Li#s!K!GRhTpM4CGjx<*OxK{J77~*Cp-x7P2X~3LIYtOJAjBQ8>W`V>o@$m&R|m@ zYw@XOn1*RJxd;TZ(3b^O63~a&mcIkcUj`HA8XjxXAUYUH)}o>Boi5k~JuCF3p_$q< zG7K*vj3jK-g@ko?IPi5e)*v=O&k9_A;zuQ_+Mrp{fPx-_@ZJUzU=#K%-<>xjwl0pb zo98knB73XAr93M*CX5z6xUAXDXq-OsR|Iz59Nw-D z)H1#X#byrJW|0{85|3S-b{~;a*nD+A5kkva3nAO4#?|{rD#JFXAWMiC*X_mR)k*Px zhV1-713&{^k)sSlK|#~Glc5p}$|u)-AFT+`L0A-e*dE$b0T6*!;YY;q#kJj6iAQQ^ z&=5w$ycs6D0T&Zt8b9WI3ZbwN&#%G#nWY~&(-=RYA zEO2@c;*86i&jtqxfa6bKlW)c^HyK$eAFr!9UCLIp9lyWi>}ONtzy2edSWh|NC9h|4C{vk}Dv2PI z0{nSU&fu^I72!%2&+;Bz)KC>$fcQM-w7cT9i1C~meyXkBZlr6u50H>GM@y;t^-oLl z^>4iXYTIQma$~bbv_nM$Hs`YAuPgk!HD|SBMa(kD-gX$^6m8MRClRgK+BmQe{ z^BRwZo~wWLY4@fL5!?Tr0UwXzL{$vOO>~Ed% zs9@eT_wc@x>(?F*h0HV3c*?8S$w};R*liqv4+BcRA#N^ehedS0NFT-XgejakmWdK) zNW_Mgdg0j9%XFarNGM%m00y_k`^rTH!y%3Mmyp?kNk2a3uuFNLhHVo7w17$TLRcta z&5<-Z^6(#t;)b>q*sP-)yABVj+V;MvPcSC@lb?S2R5PqRTr|dm{E*SOrE>qTqeIx| zW1v%mi?4P8fNyivAS|b=Rc@uz+f&_tr~SbePO5S}FW+ z^bP6W&FddmX3@R=O7QP#2if79p+IhxoX%vDlDxdENUv!3m3fETu@ebyc2z|c_y+NW zRrzhlh;0H8g_h$%v1gpd-FCg^_9^iYtoX#q|0m%S~+}~TPrwxhKkG0&yqH9%S z!Yf*yx|Y@St!zb>Z`pKr)Os%1hws*+~IaxmFh2BEi5^Gzl{nD>8; zU8hugpb<%t;L|wbOeO%fAgOs2OuSV2`IlI^6 zKudF)hb>!H)~U{+bmPx~5>e%~L_FSgG|*x$ye!o97KPsIv6vf13#mB{v!kpI*{ofBgddsUp)9W!=-KlEUH?{ri3QK9VweQG z?$DLJKhZc+b%pDYtXc0?iUG~%$T@m841{Nw<QwZ_Y~)FA$EWPHZM5)P^D$%c z#TjEn_F}YcyZ|QYP>lVHNjWDuE%qzd!-!7eH z_lvgQ3df=ZUGQFlGH&;;>>8)MV2qtAeQO%>P}z$TgX<+ax4St+H`n|uvL_AhxPw{I z&Q~2%KERfdLZd~Y;f+FX_jF`YL)0;2v%cRQu?v%xIW~E=Ab9NjMaj|ilHKrT$+F9& zq&8I&L(WTPzQ^2}!aT&zq6+bqDir72`?r%=B{l%r2Ckk6+=fLbPqwjHIkz`)*OtYa zW5-5I@jyFm=f#YYQJeJf*>rD|dUF?dDPLA<>}-9swmH9Ok4>GOtTJNGwA34YdV4E( zUEDvylIr(zGGq%N7woFKo=vJNWyjO9ugqqBvfOU7XDM^15ROlKVh&Z}jB8iw=BH`1 zFIARc*4N&xlAYTP2X>Z9sece?k$r3)%MiM=vg2E2yEo6Zzw;A`2qiUG(X8b^$uI&D zPqwvOQcvh#Lt<3SB&7T>&+7DSuI_bw7K4p$K~P+9&Fbi^yKrD4U!k-QS9qj(eJ}A#Wr+Hpj=^CbXzLr}t_?5O9vp%i=*aSElF{=#Tz-UB?`b7j{c9yJ3ynOv(3xkY|D8Wl zuD4$P)I(q5?$W5^yHxZT&H=v=&%1Ka?>sMAU_o|ic=3tCm5Z)9_2%Qv1? z+96V?V!x3|-BZ|(AU(dw@5bD3j_AH5p#(w_jd8(T+no9j%u!T!IMVSjs{mtE)0TkD zv`i-DUhQoVwI=ZZQBS$*wE9R#`yX1yRckvvG*Dx0oHMN{pd%ISzYe2q9-EtDri$Vy$EJ~*iY z^i2?t%Q&Mmh5njk=k+ly*iA6LQ8-SFY&tE{tj*R8S}`x~fpj-}Sz4_w`UK~^tjVu& zfnN>%!>*RDAZzGl1cu}>KRzy2ToOrN(k2VXij8__(B)26cA0Sy^KM6N>e^zuX7ssi zYT(ED_1QRuLY{qozic(LGsol>po1$jkO(r6W`2-6x#^C3*FNc6qI*m&e=xpd&*DLtVkBM zmO0oYkYyf{3vZTuPiwbKX?nl@?ZY6=orbhdVo~|uz7!|vZOa(fH+4Rbx(7$;>vyI3 zq#of%dc|wqpLeG}sMrul|2~2Bsch$Bg>4USn6JMotyx8fiiJaOBIY~4=)x z!o2JH7<^&S+5JQ-p{puApE9${T?`u_L>m+Zoj=ZPVh!B>->?lTGEUT z<~^cm!WaZU5A4wJ0OvFMFG#)=+ks$E>>4FW-Ox&+hoDdC(BB4gDi#V3%anA@u2cy3 z@vOu}QY50J5DHlCjAX6&rfEp*Kg70`1gL=%uv{djfvgq3VNlz%7fSw=Y1y=a#as;s zCAhXEX9nZC%U{fD#mnu^EZ2R-V~%_R?K<+sl+OTq(b;4lV>R?gn4snnniq5R10?^hP2UEoaj803i+1X1Kp0Kqj{_szl_fmE{sKMY+XoFHhw zRahh@O5#O zP8iI<#NF_%l9=Ym3Fy=h{0O(q3!v^RMX^UvgmDTONPLOVO<4x|TG-Q*SrJ-fza+Nt zzx;Gcg*SSe@hwvSBt0Rw+t4uph=>V@dWV~0hwG9gJve|+A6e{=mB20cl%W3 zvLF52*BrA(xi8 zS35G&nPUW%O6FvoRQpm|U`x!bbDi-_OK}iQ-gg9TFLO9bxKe6ZyhRma$?Q)ipGUiB z!MJZiMeFEBhReK(&g%?qCtG-icOQjZxZ?;-**w2g$pN)lKMUMwIrD9dQ!;+79q)v@ z4w=2N)$uYj6VHJ*cTupb^ZG-hY4I(4Oo;Y;ei+1ClytgGKA94OsA}xAOMMF>%h}TvX+ry=JK=%?aE; zoa{9eD5mTaO_wuSMa*u0$1nfjX@j3fE+B>Yuv1nJU||L=gtKPwkia7pfuiw+^hd_X z>xE$rYB_KgqvN8|UmVT|L)}Y75Uqo#fJX#W2M-8BK=i3&4it0jS4UbZt_nHJG25!0 zwNa~F7qKUmD;4^1e8hXLvi9(y$;QSB!?O2a(}~!%9N~}9Z4cBZ@w_zOlAB|eooC?E z;wM-Zo;OUB&L8lAa4szIc)}NqMsIl!NlY`|fEu!F$Bx~+koK{n(a3b>zLp5$%C#A& z(Ekh&fsb$vu>1#_^{z*!Gwl+KIiY)D@>vfJ_x=iw@(tp`@W518D_vN5 zMhqHm0%JPIX}vDQ4?VDFtlO4UJKgsMl-OasQ*|nVyCjWhKn_T?P9QcWn`{zA%KedM zIv=bU#jYjtF@p~+Rc{3Z{z>lu=ZU*dt-tM9Hg3mABXHac;c#E)aVlW+TKdLJz5>uA z&BKG9l_jv4;miU8q{+1LA0qA&Ow8n>0H*xrY0>3P1CDw!hL$UUXQCQg`Usz*#|pg- zTOAq(?V5AZKHCs`Jr!tkuW0nC`D?~glR@6^^MTuk<#ybFs$b&`F2&j%ZOv3v>~bqy z8iL+Ygo{c0TZf`spXHrMhPBNz%@wCVXS2evZDYaGhUr9jw|3mQU=&@I!`#jBjH>5n zU$LGlNH6N`dFV26xj?lO()f&@P8=zVZY5}(g0*S&RKP+Oti2Bp>w;99ytMYOf4e9d ze3>c`xEzu1Sft;gdtd(qWb!}~r^9}9Yr2pvGVweu45;3p5^5c%tSh@?i$FhXd7 zdhB?&GW)i9aGZx=j8h&Wq`@2>84O*(=yWvJ?8#nqM*#Oy-ee5L_H4>##SbxM2<)4s zgxR|{GQ%mqEGQ}kw)NKbeB_f4tNpx=@C znTV#ET12E3&V z7AOo2zQ59>6%wBUM8%?D43I~30l+^u?C8P!3T;oMKjMy+Hs~^^Gek$Jm>Ls|i4r@d z0ef(B-0W~$QjRT3?3ul1|V+4x}*5 zndT&JIEdC&j^$~CyL9GKPjW#yvF%v>TGLD-EgnOK7!NK3G2VFHT6e7_*CI|F;b}1i zY&ifKf}vBwzMEG+{pc*?e;Fz%EAnklMzg6l8+aCQ`iuEzr~~y&Gj>S-`C>{`)FQyH zp~9pdP&>e+)KfAxEq(1oc-C`_mF^0WSY)Ssm}NMtSJjGv;+!}L*fE`V7IUSJ9FOBf zVWQj1vD^wQzE=I1p5d`=U+FkEuyx0^@F8hOaR^r5 zU_LCSGcGs|JU=`uJL1;#h?o{!Z~3}%ZMSI|GaN7OAo4t9sTMV#Z;zzBRXj&rODC6V z1x`N%r;N@DSQb-p+)@VaUJd~~cDV0iZ#oLJm)jyQrB&82`v8EW=?q|wAS@=@x9IqN zs`95Q&G1lXVuM0?8VAy%lR?obl8}Od2RejZHG8-`9jjwkXho8KcE+EL|2NCxn-|ik zIrOyJfTg8TCrkfhKOnf8CKV~AF|*4j{L_m9R&v%S1BwIb*rEN97<_9?de16X-~Z)` z0q-dxe>&5rJ=tpf<`Q}jp20VRE^wv6OM!&=i}X0xeITnKjGPD3TsX|rC*5A{D=8O$ zzW(V6P%UK2dp6b6UKAcm+bq$_Upe&c5`a3x^12v$O3u*_?kyeH$sMM_9?@Gjxpq*CdvV+=ORCM3ch!*Zv%Q1M7p8J;Nsg(ShPtb^t73%W<{Gu01p4I@J6xN{r)K zXh&R0sjrS`69bhPnGWi}u0B9#wYq}UE80PzelmU|Es#6BU(ykE|Ao?;3S^072OX+4 zuol+ZN(YwG7mMcTiL|Tt3PDzb#AQ|8-$Y)Mm!-LR{Uz-WqX68g;-QmLlU(zFTmO6O zNBR~>i4q@fx4%!2Rx}&>!hr#)9N(Ie6?`11KtI)J(8^uoD6N zTn}qpJ8*cz8$%NeJ^Q6Xr{m+lAw|GB>uQyk5@)a!bYp(IKSbt7X1T)!{ATjO$ObE4 z%c9e2(8I{q;isfQK5qOkhxSMMmN7ZaudSABt`D^1V>9DRB;J@7Un1hhgc!%`i|X@5 zGvP}le`F2}llUKe`t<2oAqE3b+08&a#KFw)Vd$?t8N1K`<4*{b*TDY94}k>)JSI|U zhVT7vd_+bwP81vwA`7JMew2LUlg8j6V45F9B8$`s%TK&-{3HSmkrC+c0@wQn`ZEJ1 zg+^$B3J-7P;Wq)Dx4spC+a1xop%vKnH$hCtxD`9h6dc093qp4;VgN)$xqvaW$!b`FH15-5RcOwBlcn_U)u2mD>3i@TRfBUcRy)>>0?%d zz>_b3g=$E@;OgP#foAN4_<@Xyh-RAAb~FqaS2Hmf6M@GaHr$esyhwT`cKW8bTP#7J&D1s+8n*jr-qOVj@Xh zulQ93gR5bjI2P^#v2HbS(=UE;=yF_>f?^cUiZGVf#~okg8Lm6ayUq$Ay!13pg5u*Q zvoyR1!&Mc%zSFc2fn$fp6n&SIrX2!kP@A1b0}yy2cbSmG{b`$qw+E^o>Z)s&K3ZdR z1cb|6ivC(-P3?3@j0fqSIeKtWq9Oz9?Eqe*c_c_S`U0Ryv(&T3Da|`3m5$~qL2uRp zN@A-!!I9!!f03>@rm9B+K^BpL3an|D?;0AYb4Y@T+~J{b?23S7bUVm5=o2h$Id4>Q8-qZdhro{Bqm z6LzhT3ks(xh9T_PwSMu7LY<7!=M{+-L%5UMb8i0%o)h!xD8z8r8Cd0w(GwYRbT{`L zX*?FbIK|@Uakk3*4=skCipCUrdF(X9*e`yu8;b(AaG!1*tA2g_;umU2iaG*474u*e z&C^72)12ARQtC159T-APjP;7CHSWx6ORD9+`#a+Aiox9q%F1xd%RAs^ZT9*NI0y8f zt!s~eGfX+{@!2`WG!cG^UAEcebj%}qh!Efrc zn$Zrq1->DK4U^=n?wPTQ6LIDPsE{96i3OijgV{C^(#xaIk0*3=$^?k{f}n3a0QKp3 zBfU1ZjXGm=k9?d0P>)RJtj9f6H1udqJ2)KXnCZPwEMKB~V@AQ}gk8&e`laZ+*mDR7 zlf`lq61c_+X@X;uCIaq?dMn`(vlc`=f#N6_CLuJ(oE-xd^t~GBshIveV~5JLnUW;J z)6w)*SxYdm#rR2I3wD$(45J3$BI|UN4Dsg(>yZk3OoVNdBCY3r|JpI>wqeQe*x-Lg z*S6KOHhvTrzuw~tU@EvTzb82n&yw;?IuNc4Ol@`blTLFX2|FCka=~>HVZu%Tkgfmu zXP-Vz7zmg|gCDVk{DRpnn7e|xDHyuWCLKnYW9Se$Aj0KG{o5Gql#*HZXe*WfbE)6? z|GnCnu=43&z5ZAFV4V1>3u-5QA^C>?e!HPRjINnx9z@fRBpv+IUz-yMA2}uLfko5P zP)qV(zKNFa4b>hs2PS&CM}+wQ*tfS@G5I?e%@B86Yz#%y|1u04Pk$(BHJw`Okl#$;)`svpeyy1umkIl6 z04wU^M_Gs#*pX5Yj9n>3eitZ#TluM$YqFv95>8leBx-h~-tN?xq&zsY|4D{sV+e!i zwYIp}9*o{!ZJA;raJonINkUdN1zt>c41TfUxwsLCts!8((L6Dp{-4jO7{5z?(kB)W z%?yS?1eQ~8?79)?eh_bx1_hL;4wmRfEX>ieI@|V_&Hb zZaDmAc5g+@{bUcR-66H?fN6Hhf#b~W?UOr0a&Jg3z_@gPR&XlP!lQZWK>LUbEu(Ew zcj1V;i#a^aisD=x96vdf;p53Exa;!t{bpb@K!)N(Lz;DUpb`-=`<#JuLWttBd2#d;(oM_co#;6$i&mG4yBUzd z%rf#%`WGn)_@b2WR9GhfUEue5mXp-4Ivk$o1(HE+?J1Ei?^xm5QfJy^Xa0OqOK>eb zXRE!HJu7o_m={IgZ4OcrRm_W!bX)Fq0f+1vu3ze{o_Bl)nN(x#5gL>&Q|~kW@}gQk zMy#L}nl;B#_rhcXI6=Uj+hIVkXOI<{w{O=Zbl#a&{|x9_bEeE{X^yYq8p}Q)Ko*t< zRXoju$-TcaXW$ZSDUC6}KAVm_BbHgm7~`b(R6BE(tG!xvZAasSNN0HJtf)%{9CO3PL44?Ts4V?M zvrXYzBE`I4XH50erd`N9CVoMu@2ySxDf~pg+HmqL^H^gK%W)yo39w71y!uF#4XY4nvJ2T8Zy)o zyGlX+4{>W9ol)gfW_d|mEuKEOHSYdaqjQ@5%(o4QweU?uhh*H(lj5Bc67~L4(8}|#^ZjBfyP8|UGiBm3>e+otS=V5hu0D~Yb70V+$Sz; zhR{)@ocU;TD&dXobz^joYQVusc8)d7f+G9G=<5@)pvbDOsf??AUR~$$g~Nw#*d@P~ zaU4s8!f91FYzYWf-M6qxtp zu$=ylKdaZjfqpC$jxgKyr=)1p*C~>WR{C`;5D@bb1;dTT7p*CA*!T?Ri1-N7$vtop zwTs}|S8~Qju=vRdAjex>zud*b-{wAAr><<(#ns)4UA@~Wj)58@% zL;S~|(7;SyZ-{r>CO-);^}l?dUG;*#TI%tuPg|JiR$89;+Zq4x*BUvx{&W8LOVStp zy)F@TvLjK-^vw86(!iUaai;S>PV87uZmt4v^7Etdaw--x<1cfc$Xw^-=6~5Z&()8Q zdeLmRiMi?IqlOvqzsU}04ws+*>cgM>;YVY;eUVN+{|nN`oCANcHK=|5EAz10Zn$~l z{{vXrU-XuB{!6_v{3fT%Hs^jpOGZ5ta900C)o<7Qt0B2FO#k^{lU79Nf~~MLOM56t z3H_N^rnYZogvq0c*)+nyvdttY`kWDpWm~`fe$f#MZND)eb`|X9l9uVC`Jhse*aL<< zsv$5EXJ{asyxQysLF#G7s>qu}u8@5}f{rk@UU>7+0NwyoKRv99Z?+`#&M zI5Q^=)L3B{nBtf!mEKnMnYR(T()*Xt9_z>JiI}b+*+H(P+eL9bODaJ?wkT)4VL`NN zV@*0y)pV}e9P(wOr1p)u<*mI695f#`&&>Ys{I2#joZ1)4oE*kPF|%MSRiFu)wN)X) z&vdA+%_*2;W3^o=9Cq?EPpJ2p5Bo>K!8y{x3RXWs3Nx?qXdSn z!dP{`byrU-*N|A2zH{cX>Lh*pyVGv5onDkw#SdU<{wM(-Q3-oeiS#>(QMuU?^_Vz- zI6Be1Z0E`Kzc@4Pz zJjYN7u{S%6+(WNPA2HkC@hW_#k}wiuRaQ^IZ!T&vBb@ljvz1WoC(t*I8yx$S7mS-s zPlRUsIChNlWf_BelhJ>&rEC4+wu&%J`Rg&SWdhZ_2BQr>4uz}I-x~kkPnc66FNL#D zEu=}E`x*4b65=~`XW*T#%X8L!5+<=kO}*;0uS!NU=ID+~KRKrDaGv~7LU?XYsbWVk zH}QqklWN%tSC{>T`F&XlYDdC!bb=p|*Be(6N6dSQWW=I7GcZY0LiVij4}@gxKCe#s zbU#uJfEZ~&JRA6RR^U_;WDHoT>*X>G{4dEuWB6*K1$yGdH-}xhpL4=$v{!evtgaWR z?Dxico#l1M=>8&GCneqUr=uOOeoF4^MmVAI&pr%TL=4Rliq`R>U5BsK*_y~iZDT0p ztt_QZ&{*>Dh0T+k&f=G9$)l<7u8e)fBxa@}=T19?X{~WAdM7+WX4@e_Q}c>67tlm$ zNGtsM0oG#%xDB<6`h#t#$BGOJM&9hLEnl!4t823pJuYnDIEX8Arpeu`Ed=kxebDMQ z1!s`!T0!6$zw@&X9|VO-dLgyQWSQ1P{VGsd9gxHq(*DGqtreB7f7 z*k=;&O)KE9zDGw?m%g9Ovtn?I(iHpDwsN=hBEpmg=wHhXCDICOjRlaLq8t*_c?P09 z&$V14S%sGCA#G&&kObHJSWYXAT zaF_2Ir>soGvv(oZK|Sd)>_aC(EgUQ~sdJiabyOR(m=g6ATM~}uF)^wg5UW>0$8hv* zle`wtioS%1iCw62Xl5j@PDCd`b&!}|`DrqCw|Lg#8+4oRBcX@kVmump#wamBmt&O` zePXNWcH+rr3VU<{#TEDp6n#C06p?M3`#7Fp~lMkn){+={dtQ*8Wieejw*vC6BB z+Qs#JvaPyHFM^!-_WS?n`!da5t@Q9>K34)p-&(G3g)TXF)my!}tByHcN4ryH3MfJ) zbdyDrRz;q2umjsMT*3Iqfzecjl^l}hCAoCu(5;9)h|aZLlKpjSG7wkYu1Khw9f{yP z5FSf1(zx)oV%QW8M4}Knx>6KbooOQ54W9Byg~JYPrG-P7>oGOE?tMZDF8Q=32Qf znU2B@#)R~Uo;-M_d3}Z+9k$8~-EDm1;ez&paAibeOYD1HJwPYhk?YT(lf&EnTqrnW zc9-uv?hHBE_TK4d-2;5=j)RD}h9ly#eXpm-!LeP9o;>D??)1ai^c@9_Z3iBv57B&w zkR<0`Zws)q<3lZQuz%bBBu{*IPz6rIrHg=vP2$_Har%o_#kNrIw9DI#!NDTJjvz6= zS=LuuajfsFf}6zrU0PgM4eYyDnVu`?um>)-`8)lP&egdZBfx%JPRZah^)Ba*LBnr%GrAw;#HA`a6`*?B~r6+Rj)W<;*!IzqzHBLKSD`~r` zO65J=U1?d*`H}dk^#LkV+ck8aF7jjYsTcMsN5z^8n$_u}Bc(6TC#(OA$e{Ajtz0FV zu5KC2!3Xg~`BX`rKABL__}tESYfJympjn-lH*_$s*JKsfKdRs0)LaQNB zt>`hc$*}_Kc2d2`NWMUv#QDd^w-tvf($N8Th1Xl&kIw*ta6h~tCvqJxO7Pp;_N+X zo;j%2`0K3Vr@W~8YU|%|^o5qXtb$&z-A0t_2j=OmKDv-%X;Ly(2y7%7UCbxH&wH#Y zwxn4Ye?ez?)6PN<;&jY6k5Gw5kjHx?)ew$gr|=U8M7Rp4y^3Q^*2yu!UZ09`BF*jp zfGV`QU9LD}>jAk}?!vQ6O1v&uF=Vh*`Az83CPnIG!>mwaIhz}L+P>EX`m~`hBeaAG zUfdoBC@f!1r88Ydn;MHE9lB)vb2)P-nQqQq&$FY?b=BYgTC?2{zKy%3#1X3BQeMx| z?0YyIA0-x8&c)P74u`sX(d(~)G5Tbe!ZG7#1SAv0Ep&^Kkhw8w`*gPRv_iT7KQcy8 zKgl$94f>hWL2pR6BKolFYI%x7CyqnoxvSL}NHRZoiinBfG8vlMmx^PNj%Ix-|0yhm zQYXqdV!bT#!47F07H9`6RxIk%c*YTG&}-K0hlZkM66DBqj;kB6GLBVo8VV%Rm;{(g zD?L@M*oLvY&&JBT5mPyy%~aml#InP5xm4c`MXGd;$8_#k{i>*%vBM;hi=J>ZMcbni ziJ7RAsIGU%;-u^AE=l_&K_soSqeYb(sOa0FEQ(-Xh0+IOh1zd&91#0%XyA(dPK=Pu zioLM!g|6;!zVD`E&5HTnVov=1KB|Z_l}eUIZYF+)4l3%S^GEBbCix8(ih@)a_#+q; zt?4fmIjROKUR~!@*cG>O+S8oQ-6Y<%Offq9oc_(6V#?lb$B;9;{r&CQy3?HT%_J)G zl}uNHN)@W{%>uof(o`(!U;mljO$KXAJKZIxQ`7&hVBwW-k@`aauD;NzhA$_7s|1R8 zOTJUT%E!d&BNGFu4NGfFv_T?U$X%6=ZVS~1Xk3BWcQhq%*-E#(O>-?zhd=wo3Q_=e zo9avx!#Zy1V($$}yx8)Lb+ukI;QJ*PAgQfI@6<ZR&AKXWYXoor?VI-Awp&QB<#95M-GvrTw5-Z7trskn&hmrA0ys7|6cJK!$6Q)qX zgRqf=v4C6?$a?HB*C9}g6++jn#V|f~b(&{vRWwQFNH^(@P0FN6> z5_(Uluf8?jBdE91Ml{lbtO*o zlNA1tA}|8o4s2MWSl?&`D#B#ClHNoRk)H%&9D+hEXqIB^2uYwtOzR?usg4p6ExwBc z{(|3;1Vwd1puZ#QN+|h4-r~)_l)G0Vio|ZfySl}6`YKz)U`FztD_&j4o23K>%T+)0jQP&at6Kn|?fiiP?!x+LbN3^|~#GAxcSLn08 z?MrI8B2oCl>yO5lbYOK8&VhVn%=Kb8s1x1q{LMe-o?`1ZZnG;*~pHQ^O%#Jg7*ES^KL z{%oXV=UuaTr1`znNk2}mprS)B3#>NZ2{ZRJ-$q3ok?jeZftac+Q{D3R2)-`S{~+My z?S~?JHJi8Z>qZUpKPBzfcU`v5Hda-(d^y#eWw3R1tiCd|^>vZKXAX%6{Ujk`I3_o| z490npJPM^yBRG(Z7ZgyM=8`z&Y|I~?$>0{!%*bKmM9z~ijp~}sqC7h?F1=lm=D5p`%x~l&F6~u z;txr|@KJtuyC_wYSVi2T_j!RZ?~k4(Y(wZqa^haqN2zl7XqPdNZ#hb>vN|YJ6mk3y zX6Ra2!|oKS_a%~mf69-!)I9AlDp=OMlNe^rjVWvDo$rx1!O-wb&7>v^q3h2g%`7G6CzJ9AY2Bh=3xLY%W+9Bn0FWnKi51 z_zFC$9Gx|uJmNH3zO_zZwH^dA7jo$OD|Jd31e{nT2Za7pRuy@!$)zZ~f4%>7R!+*8 zR+HMO^Aw?s$RaawNmphCq-&xUR*_(%SvzakRCJ^3R+qD>;mmeGTwwMU%3MxZ(LKXFl>Zf9D4``cHVdD8j zM>>~PqpxpLR*JDvI2qGwy>7l}B9365!BoDqSkdD`a}-aylou#UjcVlW>hs+>(kQyq zo*=r=lP~nScEC`5hF34@zFe2{PSNCs6QP6|_MZHJY`U0HTQZqW*G^ld=?n^-`KPra zb0r3OWeCPFQk46yY=^@I8wanf-en0%y(%)1d6Vb>m>+`O~kOH zY6rqx8n`#AjpdVU2x5+7#q$RN!63jzwZllboaRL<&kV<-KVdXvv?rCOyCk8#=~HuE z@-aDcO*p*w@K%EWXWn715-{(u>Kk&BV59?>eO{>Zy0gLq%b}+%eOISh301a{SA}@m zVbdvsvOLw-^HRxF4fWU(2vgV5dF|N{2UbWl?d352jjum^Amc)73S(`ZrB?roDc-{} z>tRb_$J=BI+`*LdEmNpPymBHvVAZt7@l>4!5DF_dFE{;jU2##djV#pFTZ2pW_R{ZI zu7C-qd9xvZKx$+sDEl?XC6Pz3WFtE+6`f?AG*EUFcW8r+FfU)AR~-e2e;i1?d3bZd zi(+2H?Rkr%rX`|hRiiP=v0yl{^oi;ZpLqQTT@#yHuQKxWx@v_&x)GRAZf}dm&pp6I zf`)Tee+Cd3xr4-{Igvhkc45v>mPdxi{tNcBi2S)Uz9Q{lK2PQigq& zYyVK?OBwO`I`qlqJgg+|ekRXW{;{^RVo_5E%+=lQmP|NhQ}Mm~6c zX#Df9w9_>~T6*tGxpUSrjmoye?Du>}NIuBjEJk+OoaGK*dDqZ463X<8sjlF}Rj#?D zCBrYN@nx;XNM>k@d@h&lY`{uDu|kWzj&)o%!u0p>LI;uo+;}E<0I|82J;Aq$#p&3g zYqN`Ub3?{h@ossb8IgFU=8wbzAY#e7%V*3kI7UC9qo7$ z`~UOZ0^__{C$}o!e&Ja#AhMJX{(cv7^t6E zVCom>f|@{P)3uE}Wf?uP>_mh@lXivZrpHn49|Qx-HRvX(7^x>=O9Ex;S~LQz&^XcO zVES$UkQzd!ydyV~fyn*z`?n+GKkCB=b_5Mn-ibuJE?+YZc`uO`EX9y81OdmP}ZI0Z)>9b8?xi6pIhkHj~Js&f`dd&|^608VxeBx=Ox1y zn>A;eQUucZ=I3VbW?Z$zxg-8wgpVg>gqDi?GRYlG)WNJNXiCnTxxhiZndNRXB21oI ztu@%n^4|O2z$_9k#J>D%A3liF*VF-2TssLSuTad?x1;|BCYRAi?P(Sn?C8*UF35!A zV#~{rO;U*0n7Kn2zWrfkC6XjbVI_+M*%q)9yyR$EGDxVCzWxLCX+ge_anPngta*N{&Cnlo+vDWhIyy##| zUHPDq*9HB@FhMH?L^&K~O9?s@ULxa%Tsxs?uaB5anAr4HHR_ zF&UZ0pxC{j=GvWw0TxxBGI}g43A1n?$6-xj%%PQ}H>A99x8gXm zO0z$fvwm0SsC;@oQv0e*JN96k?Yd3AON!HS!lg3XY8?15c4c~Rc=yt5uIG$kWs6FL zO#5;1aWv_XRtf+n%r12QPNpz#x6A5!0Q08C28db}COY_Kx<7qV50c6opst$h$wN}) zi{kVeIwCLg4F-yDMTObbH&^|0a!j~#iL5SkBt!l4q7uhcg;xnN$;;dKxAvjuTsFtWf}KVoJ+g69~z7gLvfb*l$Lj>>I@r4R$&5;r-2$lE+MYfhFiiiy8?x^)Q|ZT zSnj0x`y1)8s;kY0Sl#QSoeiM!tdP;ici4Ka@?taC<0!-UU_R~n*iA&JUPjR|z#fae zG0U#JQFKXf3uH-nqbon>J-DXiyu20KT zJ(--Qav1mMsC@jC%@b4kMqRL`I}8^8T2H2sgdIRtg$6I$T~l!eC+qI|4EZi;lNyG= zesY?2JDkKFPuMaitj^`m3{v0*bR1Lr>ez;^5D;g23RMkJ!>^l8Wq@Wyg@Ha#b^&T@ zMfdjWMjzrP=OTf0uPbpPvbJJ+7zAuE?dka0aegQ1+pn+ttE;iB5{wo3L0(`nkGq~s z_R3_WL37OR=vmNivsd(B!g%TgH68mm$&m|Z6WysK5TU#=-~P^5A3lf{PNiJI|7yen z<)p4IHqgYbG01|V!6RZzk+iA16W8i_=!7E+A5M~LQWaQ5224ak(Rh;Car(>~>L}uC zfKO8FY-v8r#^dlcOBAe&tup(4X3qV-)TGgmot4Tx)cd$$ zuuz}BOinrDTW=Q~TZ%=q&x;S`0IvJ&;{MvI_^)XdMz&ZxQZl?=hEQiMFMB3g|3}5c zt4tmh^{Z%iH7>;jlVTV*3ERu`J?z`>L)XLBRgF}Ewy!`D_)BCsL+DopC8{~mjW`lV zXPXxchAX53Ij@f^E0mlx@GZyiEN%iNniU9D8s9#wkEH4Jt;;E=OK+k?ssaN#GUI#S zh`%D_FgfZ7#Z^*Gp{-YBm@#|vAwQlNN>}J-IqV#~0>N}L)DmTkFIhqwx?W(@!`=)7 zDhML;LP9fjOB(s^EID6vk z86}EUu;aswu0^z3^$Cr?{?z~jGsUxe<}36CihhZW%D{Iq( zP)qb>`g}0YZ+~3BGBnNjpT5>{I3pzb5(s??e7>$eX*hHpw`w~BU#Y%f#9G|Zz!zBT z$QkcM-GCR@`@A824UbQvWw_W2Mxh_)^3-K;gGH3Lj6Wl~wkx-FIKaptAd#q+irmxm zdz!S)_T1H7!8Ar;LeR434R>TK!INE%yc#44X!^8c++AOS>v-P0e=w0Zf zls7dJU3yO_(QDKcG%?d{3q|X**4Qc*yT{w&t;;|KdAg!>25L`(}>Md3{)#;79h) zGgc*fVr898sd(g@4^{i9Kq=3#4R&2?KDhSs6FYiTv`*we&jfj(kpLN9*$V)rbfswr z4i<=P5yZV4OAZuZg;kh}$tqIivW*uUn!BA4X*@WqtCHQ`K`|+gd|qbE%(B#wObk-0 zYe3Z)N{uv&Rl@cP?7eR9bz2g5rjeV>49q;NB zXW0k-b+Mk0b3E3?PM+lWJSQ)!1a=Yh{y4td3GP)Vc(>A#Mtul9#|kENMKjbS4jqY# zQdOBg^eGgWKJ20}V#8c$UKCoQ~Qf{90%X_ zbTvG~nY|raU7J8>Fl85tZ>|AyTFgJe2ZxL_XlX?nnBC1$2#j?$D?(@_HG9Qbi4&j*4(MAs7HyM2t5CZi zrk+sB={Z0J2@Sl!n$n8^i3kZ-T#}}GNmOUgD;S7d0{wM|W=AopC2U=GG%1@;L7Q5h z&A97C-rd5ld;EIsi*FcjV|W^4i0MFOJG$7(Mu+CBn2n_G?0%Hz^0=>Eulhwt$2W#K z^le>mX#B6nm--CDe51p#*7QE>Fl+>Tyvt3->vwgI%|pF#a@cuP)-nWDU6WzC|64)f zV4te5fwf}Ka@-j6#4`f2SLZEFEMf|z8rCJ*vUWsa7AHa!##=k3e~P{|6&lZl`UZAk z#%7V+A~`p5nNX4Z_}nOtGn|-7-O@q_5|09pbv5ow+_6EbOVBH5v+T|^xd@oinGVe?=A}vxi8#Do(24XUO|FK2iA**~ z_6$aSI!baSch={9WzxcJ^ymq(_N;HGlVOQoHc0l3Q0U>=3+UJjBW$lH|J860o1i}z z7Z?oB^swMQ@xrF=c4~#Prg{0zw644v;q0O(wbXGs7nZ6a$|&u{_RnpCvbAz!bv>}s%j&p=&4UyF;0U}nquf|<6j zs+N!Odxf71W#XIGl&=_#y{z?Q#LQoqSDik1CkC@3qg7%s5I6dKna-bGnQJ4WH!GHq zlth=)EnOEmC^>Hx`;|DXr0Mt$o#)QQ+J?fjgx$hpQQvyarZp!_PTMW3C!Y0->Ny4x zYHTuw3B07l6@1f3?T)MCUbM(=tPZ>c1~V~a zucrHSw6yEzq89=KHi$#_CgDZJ>|w|Y2^n$Nt-D3{Ud=2Wd$4G3XfVn-5EyC(84ABa zb;xdPO4BB**nvd_BO|sgXlYuTG4tc8f-So)=B=CluJKhCm5Pnn;SD7Vhn)4rmUqGRA!R~=<*#jsTH(yM&e%`&7*BYjIQ%%7WLrg7JO~mlcAZDdH`U_+(!*pQ)H3AjMJr1!hFM_l zGA&!|oYVjCeWOGwZ)BL` zXtxOThi32UDl0LC8o5n!;=Xc(n>8mVuD$v((yqHO7)A)`sVJ)M`w=qrP{(u*#y}XQ z?k_cjw)1Ene{q()>b~7!54Po`1AU)y!q3NSmkl!q`6oqCbb#=t9**8-|c$zBE#2yF3agEpZXuWnVgTwmd zK|c**PKhxJaOD~Q$Jcz`DR*_&G!`_Kn&&2MSMge&yimxJCf+8EReEpIL9Ws^EtxCy z2aRD1jld`rQy3;Rq>-pzs-2a4URKKeE4C2sEdsp1ugwUi#c*8e7!Oh$pG>*Z!w~38 z!<49*6_Iq@-=M_C^rCQbJ_mh?4J=hc2Vh%02w^sgWB4-`jx9tFKfbh(?Q;iB%kSeh z-f5hJ-R`Fs*O*t~GNCkVFWkO$mZz$y^5v1J>GmrANhSF*aF~gse&+YFHEdiT?W$e@ z&4(IArkSwj{03!W=wLUGLl^Z$vV}YhOH*QZgm#=hXBa)tHU9C}@+3!hJM}QvvoWZv z_m)qvwP6#XnVM5ow!4a#o|)L&a+4SM=I@!|%KW!Y@(729WAQ1vhQ-Hqc*`u5A(7oDFa23 z{3m}adxp{5yW*;3u_U8cJCc<-VOLG+(EGWxS+Xqc1S^JaXLPryccRiK7P@69S<=Rq zdMD(C8!@78v|D#&OdtBVza|oV+)Ob8Gg!aJDOLr<(;U2~LybRG%O_0K1Jdnj+B!My z1w`YS;dL3WPPF$W(hW7&i3Ja%`sSF?e`qfHMm1{cVokDMLpv&SYv!VKBY6sKtvO!M z%|p{XCi16=T0W4P#9Cgyu`a9o@BPki;KbjD)9^w=U}E@ezNDHDJ#k*(tq}!L@f)e` zO?os~wZdb2%`5SA_g7ER&&`=gaVGa-vfKBCx_vzOvw5tO*KFbX9^Lftrykr5PX5b! zNT9dbio1~11SJMPS63SZot3L+RwQ`x$BGDNJVQ~oW}$-RdZ}#vYN*DfGzlqC0n`aH zySAENau|S_NIV8ho(>FV`ct0;R8Va=tWMK+WxCF~U7CF9t zPOTn)(}6f^d$+=hUs(N|I_GzpIVWKeh)QYNK4)~)pu%Q zzf+Z9UX_JB)+KT|<n9eyIR#{pVr+vo|pEH>}ZdbmrsfYIz{(Lxwcgc1uD-l)kpWI1R zTuVG|aq3}(Bz1nTF5a{*vk4oo7BN0^d9pY{l*z{!EVHCwSXh&(wc((aV`V~U$a&S8 zLOeotmfLlS@Au0xKxZaSCX0_bVQS0+A*N6CWbrVI#$D0ZkQyz+-kSZLsyN}@Zdq1k zE>3#IW3W)Y&l2-Fd)1Q}+tX@NjX>`-)i;btD0Ri}?HJR@r=4NKc}Y?@>Ic%ItVi7D$nt6&k!ilG49| zWAqEYe@f(2TESjQCeIy%S{<%zDTYG8;kMjvSyk{^-ctkh^rxP|NMs zI_8Irr_veI=XLTB5s$Kb%YTX)uj^X@WobLGD*M+C;@Y!vI0nksT##iF-qRlrQ?Qy~ zlo${mgN-F!)KM_ju~Ak6*_6mVRrQ(>@?Uz7_m_QG!sG@}80|vH!?De=2(5^+2#G>A zihhGTZWwxmgIORV6SK@2_SFjtM?v_H=sC6*(Mk4Vrf8;Fbo5fBBC{^K%u1RJCJA&p zx{xbC6mO6~mLWp3*j~)nD~LGL%T(_Ba=C`2cf*0~vVs#k^m>2)sKwZ-zyI-9167n< zu)P!VslvW&2^8g3D2$MWe#mc#YiU5gQm*bknYt{Pl%6%Zx%z@SERLXiIx@l%a@9vG zBd`XBMg<&eggue0&|$%{h%DtPuF!T}{;iCL{sYvaH#bydt5E)^pcRQ#wFEizR7p8~ z)G9uC&5!G3ea^iR~#sPAfSrbb>t%z(Kq>I z64cgz>Z~wN+kKbNfwm8#rGK&tM45-xs{dog1r z^_8P#;1DX)MhiuXOm@v z_hidD37dhgQ#53ERh=Zg@3R~~S_u~v6Ed&y!+2W#*&kClr4%6sR-@4OWJ0^55v%0w zE0-{@@p(?|%!G+HH|>l0XgP5Z`a}qNqL&;_Y3$Ca#;sac7fefS1{HMRoq%;kgCq!o zoM+$mxje~s>GmN6u*AyFW5t}-xeN zv=elu`er4Wel}$KQg$_#wXHt&rQsALooZxhmW)h!iX;Q==VwPui}!By2v4%uH)74< z#UpVx8-7Ifom+z!ZTO;RU~3w>r1o8F2eg|D|yaaGKAI#%rS5J6cC2@ zrOI3M$6oll!eYJfC9h8Q82hxQKFIVO z*`*>OnG%mo;Z}O5wQHP2P$wcE&4WhroTS+^&h}}ah4$zBEa6H?$nn-d2`Lx|zR#_o zf7b|Ci+adk(jW|YmC_~p1RY{*R2VU&t1u5x$S~~C*~V8oUc}t1P?7Ca2hnSEhrSp^ z+E6K8%omfh|Us->et&2xes6Q^jyutlue=_Ay8m7Fh#NhNvIP^qPnlXeAH85C`;vwzvDFyEO7 zdgFEI zydzeV0utDX=B|6q58UKcX$OqopZ;gupHa+?mY3l6;#Y`&`(A(&PI>bBS}{-Z z>a&ahGy2P<)4Aaz4u%tz-93Ko2v1Dd!iRXQtgi7O6Ng{cHLuXfj`^SbmzzUQJT#WG zt{SYob5g)+%8!XC&L5ROevwJkm8+}D^Cs4EoiCL8jP{b)qBJj6XMR(Y7)A<6UO4dz z?9V%#jIL`wM18%btVt2{)Vs*=Wt-OnkH7?lz&6gaXLC!i{e$juOqC`#+s-V%f#rbV zhH-cjw|5u~mAUEKZdX>~m_eX`x4$QJF`ga<{^veg?vE*#R!2=$hG!^ar|25Am8+;1 z-n?z(uHyFC3SqI24K!bH*x?Q)6swGVgV#t~|6DB}PZqs8PAI z4)_?GZ453!d1|NbBBpJts1l4Xh^%yh3<%6VT>PK6oed7jcwk( z3NYU0Fcc)?MC9M)ObFiVYL3#Yd8o=7r{b(M*Vs7LE?e`8uWt^0CmX?1q!WM2^R{fp zM9-T@xH4$ehydG?`#{0$7YFObpF@Fez_GHKqyH?~sbS;J#AED;Rmpp##rWE+CV6Ss zjLYcj+2*^14{!A$C&%jkQVUxsKQ?z8N8(jfEmyZDy~eJW$V}F@An4Q8f(b&Ft?#;N z9`O>mACJYye9x`S=cD*jy(Wj|lx3+!4BUIQR{<8p#FT4dU2(s!xGxjC$iM4yJ_cOO z48NT+L6~C{Vs@C#gIx>lQMFZjnd~}FQ<(&ug_Q}VYf~K=xh}EYq#oJO?WQM;^<}Yd zss^@6-%7dJp)-A>O_azpck~QUMeABBzs8~2dXZNf9ujHNp=XD$Hn#aIGwK`Z%3>td zE0<%9!|4p8vRo$}ZEZe-W^@m@liN4`=dUzF&bCJPU}L_pX&A&ES%BM%br(7UMeD7WGQcnbLcwFiF(A|ntvrZ%1rQzj>+2}GC=N~^b!Mtf6&XvPlo!i z5$J6r(@+I|pm?nr-$~Q&ca>fjQgF z{;?K_L< zK5TgbFuLQd26V)L;AF+N5`+=HP3G!C+I+}cDP#Zxm}G%s#Ykp`t=*|wsQNzgCb|04 zo2N+8_E+KN!%o?Vkt!&j7F3J7L4WbjPNy=R!lf)UK2`9M*nM^4TPrGacMc@OnWee3tA=q>aRd^r{_Kt#}bpIDzZA>&i_`ob7f<(eGE7DkRx_7w_iq4g&Myi?(9*j9pH zJ$zp!pOOt4-enj)?0T5VEl!{O6RN7RV&@mcjO2)7@QG#nv+Ie-v9u5=>l2TCl%PKw z3eqL?l51)jR_toIr;eP0;}sHwvePO>U-m#7Ly&hKCm&nLl%3F{i52y77`Zt2MvsJq z70trG5QMJVFdQN`A19wTd~c`{&K)rWAqJldH%^NpxV$SX3j4}tExmN-g$Hz=P!6hwN2IH?1CC~g5GAY`oj29?L@QDj8}?)j+*KThD7uB zYmO_ydCGkUJApGv82VU&tE77zCIvK8%**=i2XvzV%_W<bVoByK#yQ1-vGx275IBlqu9rY!g__HA*+V;y z$*ataO_!@FGPWi5b!pGX(sGAsf|G`qotPIW>N#uP{$XQkaLmWyo9Cnu$UHsCp+AfC zgn*RPvpTMi?W)?+W5Fk(3jB91HH-Ec3;A#ePsa0a1Dwwbl+o# z>9Y1!$e14c5Bte{HG_E<1igDw_fMzp*>ar8D?uDs{ZfZ?exLJ989tkC3bVZcJ@ZY4 zPVcwejF9NC^Cma`klhFb8zl222Q(3PSR=L@}RxRJ>ZO88S;O>}@%o#XlXFGY@eL5xcjohS7 zft7uH`$6y`$IU~Q0yk)MIEAkIGB!z#PMM5kWc8!a z7JhWY+_$}c_b3m^bb7|tY+HXYHSZq5NCgNNlc<(+;OEx>nWwnNv6Dmh8sW<|#R|8OV0YlY%Su@dry z;0w|V)zc)$XDbw_3JLpcxJ=Fpuf%JkPq3_k#h7-V350@z@3b(}%vTulSaNdlize)3-$@xDw&e^M`fSfK66&BiW3Y2sM%$cG=f5^HErum+7qF^@Lk(= z=VT#qpRpy~8*%>3b+^IkpJ_G=SGYOc*!QD3V@S~F#EMi`U0jIVK7=wtxaQH~m18>- z-VnFXwIG=&D3B!ut{cP?-VhyWiX2Na3t_?%G7Ep@JMNS@B<%BCv2#dQIHBd*e&9pf zU!XD|%cjU)GL2P5$6=PENi%}g%8n*Jqgo-`Hb0Wq5yu?zt)peSq#l_?b=Zqsm1(!4}Lgj1=VTBvdDMzAr z=8|p`Om`=CLTAQ0;tvyo9{U4iuNSMHw_V{|Bm-AR3+e^+1VRKu5(zje-{)!Fci`bb>?$%pD!wMW|; z`D4u|9CFUPEA8aw=%2zn?`Q{*=d6@Fi*(B^bxbIiC$SjA+BZap+%VyU?Y{p(1K$s|d!aq#z=z@ssa$Jz zbVsIT$~yW26|ou{MGQ~%nOw@`NhwQ!7m&O-+ViQ8SIKAA%UzD8{*3FX$S{wa{id$A zEt7kTq?}6hysU`aLo`gJVeb;lgXjvB(cY8>qdx6rmv^+;IRwg z;bi<)lX)2G;bUNcybNBdE>+XoUrtq?&~`jrLmqQI(!R8tA;+x3WWd}=P~EVfVXx5v zOMAuXsRk^VcA@0<)rUlTQv=rQllsK;6m~Vyy?*^Tu5@O4p+dG;YyGnp>S6OcugWv3@1Ep<1iQ z&8EU$&n{Tq*va%~r1?|<700~Zs(Jce^8e(oeE2ZE$Q(|CDYR?3FHEgv7e%(q%wJKb zN9~EET6AmWw&qYTtjK{&FqD^SC+atKt>wM9g`rH&i3)V9a7eAQW1c?erXWFbvt(fY zz7ZD@^1a}ocr+Z@wMqtZB9GkgP73Hj$Q5NrCKLC7mGs=z3RbQ$^Q}2xl$#GK1I5}s zCqYd@0^uCQ$+{IU0__<-YIX(PafEKBzb#b&oD$Rs1Ms`!^S+=|K2hL&%gsae3e{Bn zkr=x`hi!q;I#Lq-^9iq1ZK3-o`z)8R3f}QPCsGNOAxGJ(pL(4v7^3ZZ(y(WXK z8$1xD@m7X%D~vYglO_N`TPxMp(0VCwuwyCEV#UzDOnOhZmrysbLU+(9pgockxaH+C z^v^@fx7A|W=!kuLI+;WXx!j-MT;N1e#m~gt78ilvO=?m?nn(%FQ*prZR-0mDZX;^~!CNtZNGIQmEn= zK4cRHO?N1i>gO(Hyb-m|_Ri2~BS7C9eLd#W5b_*4=FG0v$;Q@Ryrxg4Y~uSg^EF*Z7&n-{!Mbq zg);3RJYJ=|=9Fr0(Ss0J8M&GjkfWu6ct1Y@TLy`JX6ZS+V|b~^I>1dL>7@_NUhdp! zcijcm_*+m7%XBM}7U#46A~?dZ|a zkVji@S-Sgb2r_fVPGg<_&qn?q`bfGQX<9Vj1f=e z>wBxirJqH)5ln}U-1LiTe%EE|Y{MNh&A;Oc7HWV-B=t{#Tp1>1IciJ5j65u73zpG_ zSI6>rs6eiH+kc|nT-C>+I)cqmn5P;CeBbf?YFE^r>$;;Abw)GmqN?W4k=Uz6jAy~V zW}Kmb*xs3MqwRjm%AJ;ac_laOyNCM!`PFcb*9W>#(ZKdfN(+iPRYbzx(h(28)5EqI zI0&?|A{SHa?PEtutK-?kP**1``nNyG4~MsZP-bNh!pi`E9%|Vz9qpaQ@I(t)rRBSA8!uX)I|;F zBf}v*5*m=VTPn_ww3FN8wj#SIJxn{X|Lmrf+p}rXy4jdF%UJ2)Gjhb*stlVkrW@iP zX(~zUr7H*-pxvfqXj{4lOhipu=!>4%LezIYmgs_DfA9WFCQwe>$l0yv} zJxOp3RslAXk6P`rjG*=^&I*E@3E3(UF7L=n>VmqN<49X<4`w3$7VGN5E<-hA*Z_*Q ztWk3KBylB2fqqQ7+m?z&sF)y`nDdc9Q8DZ$qBQFc^KVq{fBD@%H=KAs?xS_AVW;8c znF6d@X~1@6-^$A#fywnHo9dIg2oYFk?2bYfiy>`^2{YnyqhX|(7mi*dSm{!| z{=gtCxZJL;Ruh!yUYw&Kp-KM2Hr3B8xaTAPd)knI8s@u0>#wQ%7n+W3;CAF=@GXvj)-C(65MF z&eJzfOLFmO#B`0-9ZQ&|louL-*N3p#14KUy45tMyx;k7onSDDikaeoc1{2zpi$ifA zgFqTbs_2NA+PY{*AL#6BN3mVpD%cK|V|;6tF%+ddsFke|*~$Cj>2hNNZue1plLdxG zO9E8!W~04Zjh+?G+Kj#It;iJ|NGL4fxO--JeRa>prN}W>_onk=P@U_xp0ZPuk7)ml z=Ts%y1nlnN=rEnDtjs^jxC-c>tIHH*alUVr3iN%^Ko+^>aH`9dMlR~c7KW=(&s*Oi zoOd6pXfc3NgWR)7*|u!|MlEmfampi(Gl^XerVs)Oa6Hsz6R*R&j@ph14Rrxpt%LMy}o~(DjEl z28={g1(L;RWHA^vDra@?Q2gAQb!Lr>g1*eq_-~94A9$6ZPUZ0#_Lwm~Ql0w}V`d4g zM1P_`Y>(U)^vq>75m3;A%_kEZrWm4uxY>SWMo23qj7IN}$S1ZNhNd^Hr z?xt!sL{WXb;#w4rM06RRYgjr2=)u`>%+P7q`_>C@HpUyu*e91nI1dk)$hm6FP;b4f`%{THK$|3Q z$vrx&worVC$cuD+RWU#>Th5bpQcwEBwnx$E5ASAW-9d7i2zF(9QT5cZ?l{d)r(}md z7~KU1m>t(zeT$vrMn6+*AYz~C25q)ok=OL4nN_(uRwp_K4xJJ9lBLGc%^Ev{=%UMa zInCcAaJ?BKD&8hnQ@YRV>spfJU>-ENIRlS>gL_CNm4aPo4757P# z?O>kY-hn1$JxaQFzlUY-5#fxN-gZaqK#Oho-Ui&)UE&hHb-i0tAsWQ*a~Qqcg3Ibv zYL2gGwU+Mgakjj7_RL|KaOwdEqEnHocu5k8fukh)4ifjwjU}B$Q~P+t$^jSS6EVsG}s+izj7*S9OWV*A&CVI@+OaUG z0>1CWD@o+&tnrXlDR>)sBdL>VMnAGVKMs5us6Hcf(LSeEP%`>OB$Iror5Dm@bEo<2 zAs^f46Q7C?Dw9sZBn-XClWcCE&FyXlFl=INDiezC$Mnv|Uqb_-VEDGbl4L_>UOl|vmpZvLGO+HfjZ$9{^*JQb zl)I8XXE@C%UW3+aawPE|N_B@)VoAiX zl{M_M`qQj|nt}?TWHNJIWc7Mtz#(g>Z~XL0W@|dhR8tW4b;glwdp_@am^pSRsXx}^NrzuTG>OSf*3-Fq|Gw|zQ|Y#wHmgUny?*>cIr$on!b+iS@`<}O0gad z3Unm6WfWMIB_(#>DXOylrO_bb)~?RCTlL9v#i&prO%f-rGx=?jqgoOn#k#_FF^Cn6 zk6aMZ3dOdxs|XfSDxW64r_7?;&M4BYb2DCjSn!-%KIF@(@)cfRk;ye3U zTvyohD*wJq>B{n+2*Oq~liYtQgQKhn0kap!uImhpxXqik!cJDnAZxv@BMR`%96W2q zw&qQ+de7IYRZ`QzqqxpO59qAGVp3{~we1Qb0bix7GhTW3U#pr7IlV<DUN!N$4;kE zOhsmRL+0@E9z4b7gXfDvC-2_2_vDClZ}#ra23|?|=U@MnkRcU`6L^czkV1!sK+{>l z3YbL;X|}w;yNc8}s~8y^^^qMAs-nN@@cJBAkvNVJAY;rzC!7Qb*><1fD$K=oRqT!( zIFUaM5sL0Mg_|(+I%h>{r7=Lr85^&hi3AR*YKM>$)GPE>41$Tkmu{jHtpMu`Oa}79OOj;_mh|Jz>Hy za^~?tai3}MRTOWwKC}wvPDH$9+nHmC-|0HnRzY93YX`wBHfWq}H=3n;5a(pz2hJ=u zNRuC4Rq)&o6O0Z!F#d-RI1jlj_{-4Zy11fB-U4wb_Mnh58XK{nqT|9$pz#!^-9 zrY@@+iLXACe~rc8{AikI_R;iHW130JpUaWz{r7|~k#{$7{1=c6Y>V??FzxA&?JmMU zSx47uMyA#kcE{~DD;tt=wor?TOkweqd4i1&TV8BsYr;|!o|pT^i!C2PN)i`UL>XXI=UL%n}_e0eatibw$y^v7xq4J^B zYW5kUPAue1kpB8w_!g;ziNda^7a)f&oAbn^m@o+PZ$~S|I-pEMqJr&7?T}(^!JMb3 z{6`a|?GtQ!q-gM07Cxr;{xd;X=sb#JR}iG6-U_ht!qgs8yO8)@hvhB0pPYq@nshDK zyYavO47N_H$4X!fFTwnc-0G|r=#O4k}Re9&wnRKb&-(#%F%32Yr1(rkb3y{tSxN+XL;=Z6&-=V3 zvb!Fz7^Fu`iXeVG5oj#X?ijh+z5jGhpcTJL`Yo!0hW!Ykc3}X*W zJ|flJyLOBw*Ky|bu3A=%C)y}*mlQA;NCMiO_=M~!_O%0nYq0T9j;MovFGs*w(@gM- zc&M&7^4}P7XGQ_iHPkg*&M0 zQ@k?%>2Li8e06R1DQWl&NERQHi)BGow;&1|(+TTQ7?H4S%OHh)mx^;v{RoqSY-LKc zt6^P_%Acof<}6FWO+Kd~v54zRnnq2QYLOnv-g?*id3A#YgV!XX)Hkr7{GXee7F*vV zu?ROJeVq~yYlDQ9Vx;f7Y+isD++u|i@;V8y#3DW(RZ%{>=FHZRm_+f}x!%|_u|)`K zMFPHPhVLwUWk{%GyJY^VCHk7N>#CpJfV5wFMD0O4VHg^>(^(1b{dQow(jTi30(GIb zvPt=;>VWNmUJ1f&6_I^S7w1^d`O#F@-;1_*i?$5uR8!dV44ChraU4{Du4;`v4vBxe$kzTcoF%hS|c{0xzIxYOtd{*pWp+oMj=jsCOL|_Ox zheI-V>EeTdvwS0`?@*i>Q8%EEq6&|xBVza~ZYx@eU>Z`Crjl(bx% zj?r(HM?5!>^N3`OE@E-n%1 zBTUs~uK^H8%Y!Pt@~}6E6gD%QW&W?T0Xc!Fu4^HWwDRhl^fhpAfq#h3Lfhp|rkln+ z*QqADpIZ-OTAkg$x>1ld&ix~+i_4^el3yP9@$c!B8}Sn0gc_3AIZM-tm(Y3JSNQ{R zVDnUmlB&au;izIy?vyJM4m%RTZD2cYHc*meLcCOr9OM3Pj4`4gaUe998xVCt8uS3o z^yeO8{RsVUjb;hDaL*zdz-;o{y-|pd!bRrnj@PM2L4M58?i0=tO#6gTdN_-@qq1H; z`kOh437j9Rk4ZuLyj&xvpOYQTOGwdQTiZ&m%D2*+u!#c6+$4N@-hbS6#a4%@$`cWx zg0rMUel(s}5t#Kv^x)kHDzeX@obO5WAY43z%#0}QkY#1^aorUMMq0d3XJ(U97{iyM zVs!-iK`)m=<`&=fE2vK$w7(Zj6N+LZMuP~{*`)v2nsgq9Yfs)Phfh5my~Rbq0JBFMso>oU3e zS?8F?)p1P^)2hB$!)FNrmepralZ8w+&0ffB%)Mf`%l22UvE#GSN4_Ve+zjZQnbdq~ zJ5(g3U!)H(S}B?NtfT(EM_Wt`7RA*97=ms+#G3B9ry z;6?3WLtsXzr$MfXi`qedLB#cU`_cA{ZIY^;GPQ&@rT^pIDP?1dV4Cw}TUQbZum3u~ z-)Eu0Xf_6B!Svvxe*b5?ulcC^nRdeT*pssa_Kzt~etesfU({1(vnSBVqOOi>{D(i& zXYR4kPuk0KH^Bx2LtdUHEDYc9~z>2UY&;+RXc&iuAqTONcCZ8^RUw)<% zD3It-^{g%OZ_osZ32D%I6~S9@?4$q4s-B#3Y>ecGK@(b@hgP~Matyy9h|4mo#tI;> zSq%;8Xl*;86dPq2F8K?w7pfUf3kfI1p}H!Fw?ou;HeE~Lmvqy=Gb-XOS+@HeC8+xh zu3QzifDLR`o-;e-&-tsco>kunv+F67TQ`gEWcp-)_S7+^QPdCNZTo0y*sMna$_)4= z%(}-0f5;mB+|6lJUyafP?DLmYN)8w!)XTf-Jz~^ofUBbrNC?Qsv@JgKz+~+jBKMuO zo|BLbqwJcFy>X+*7gH+DPtC<_vZ5-^d~Dy2uocr>;mv+i4dufmEEm=F0^&_QrRwTj zs~m20YeH^FRlm#EYs?f&886ck!0NX)vM0b)~SRz;MP%pz)UPrb&JV@(o8t3AW)CC%cMwivuI-To{;aJL> zUwpN7YACy9^4u}HLGyGL+1nqLyzYC+3aep0*OGS~C)7D#sx;a1&Pj<#Gr1t{&}-I~ zfT21s%QSyw^8Xqm!thiCgdHf&j?IL>P=<2552m}sPMIO() zGJ!o$Aje6rMUi~KV&&tB6l%d`OKMo6IV5t$Trptzby{~r$FbSUJq8*`T~Y08bbT=g z+nNrj(<(=nJnXs3xdeK?5Z#J57)$P%VxKQBZ-3AnF2&m)Eb4xv*Z6=d0EGI1S;fqY zzzn_L@iJPZwgUH(G^af@!CRd{vRma?HoPDAT{2MJZlFLmg3h3?eTV+AZMq7LFVFO; z(~q~-P#Xm@m|;_GWZp6ofs%Ib){C#fl;_R`*2#tkfT|+)CdH!Lz@+GUab&r^>OkY~ zDjR~^TT*sgDvvcoJc;=r{saxBAu(o&rJWBk~ld3U)o{ zXSv0At9`;$zh?$d{z^!J8PZ0?jSCkZO#4(P2%nslZ@I>^*y`k(DqpLa2-|+52ZCd8 zBe*0co$kbcXpn&vF*Nzu&}`_~Ze*-yQk*9Twe=0TLrKiEddXk&s+kLNp27&@PecG- zfoVR?sT{|DA^}8bsM{wlZ0uZFI~C&uPb+M;oI~qc>n7fgqW(ziz16<2!Qx>OCm3Pig;-o8FFxF-??R?=*h(~M=k4ubDTG| z#QNoB>$E^5i&!JiP)7o`<73tp1o)cN8>wOj3H!X)-Ed1}U)OU{_O}?5FktYdpjU?LRl*0xy_E)eX_)XBFri&%)=|B!r!y z7O1}&v(Ni_1rv~067qX1j@%0)*AgZqI*x>ssHkZO?Af$e?i9e_nahhyD?{1AqHOyS zyTFz{k%e4AFjka�ql8RJbvw?fYJ!w+|E@jYS9OQEcxL^DG{#Hl2X3njFvnj=rqa zFpB$9Bg2a)RJR4AIYF#Sc2^{mokS)skr{M*gByjr^S{MYeyq$dsrB2Y*tBDPG9AN6lE>T7}`FD^eT^SwZy7x=~M3R|_+|fgciK8xk~R z)a0LhCGp~X6}uBME>1@}W_$=2ALF%7a*KE}_oztLR1!aGL2J_&uvN+I!icUQtenB| z2Mu87zh;TJ0gbU+7>?|iCwn1PYDxYSRAc00IV)>&Z~tjHa)nz&nP z=gGTe$K+aoG#r}pKk&gSc`XlDUjs8^5_e_l{0m`9IJQ(ncY)vieBJ5-qiKd z9xA!SSU)ScbRv<*ku&wZbXM<;*IBtY(qnZM`g7mQ@NN}b)hzlH_(2@guo;{iz4!Y= zrU#MMBi|2ZE|}U!*7pZ^Kl=6zUXgap&^VmjfBScJY@oiS8Sd5k3EXJsa6OMj7c{qI z+nvqn!QEKJ*}Lt2aEQl2EbG%{%wW7SZ2vm#Bp6_Cr7B<#c77E9f6Tqjk1R`;C-kbT z=A(Us*dTWJ$Wgs})%Ruj_s5lbgJ#8U7QJA^#v{Tb!ZSSFKt*>Ha6n7NyKc;>ygss={&DsN_l*|Bf4 zbIi{9{Zfmp%~|r4lJl(zJmb~1){%a_vn)(8c^28w9ypufr4egDB2Z|Dbb(jCOdYSyG(9S?eP~)+e!R>U z-ppz}Dl|JoHw!V@Rw||=o~_f|rYV&2ezi=x+&}cJ^RSo3q^8?CqIc}m`Q|Z=oR?&N%m>aQhu%8o zLl$5|Gn1x^eM8rtj$c2*U`02{r>)r-tIUsl+QS$IgHvYHIx&ulC~#BkUh{M}yRaTm zT842Pr`A8Bb9vLW@OR#opnq(dlX^@SaBKDZ;^iOi=4VTLx!{trI9xBl*UFeUoBn~} z^8fGmw5A30jcHd?O`yeb#3mPC6xwfEb|Wozd>c{rSV2Fq*{fV`ndI`@v%b2?3&TrG zj>p{2S5&$u(JqNQPviTuaJqCP3Ba0wN2H}tfl2+}jIKo7HYLz|>-=k!WZu$c<2;j? zF!q;?4Q9EQiM`0y@PTpUa2>j4TY^upUl%aTu%MVsT>A}Xxn0(3UcX(J8BQ`&j%c3v zK|ve2WpdOGfUovV5sp9qz*{dOvgSQ%PT>Tz_CiyV^kP-Re|^)W@3Ydvh&z7zcJgR1Nn^agw~v1R%K8dUC{4#N4ShSnO$=aUc<_+O zqfWh^Pnhn4<4#|~vqnC8WY|071H7bIo6R5bV)C%Eg3B|8#;C^`cgcf>%gxmO_N%Nd6wQ!5uo^9zx z(uJz-lWGIjD1Ss}j}YI>QSW0ft!2tMa%jwwIA=iCm2mp}ZfM?7ds{7|= z_7f{}5ax9*+7lwI?q}fhw_WEOY+xQ!p>5jysa%;@XPUFN;RA^jC)ICEn5jv;a3h5U z=4ovIn^H5Q#$??7+rLE%Mlr{8h$Afp_>;*SA;)%XPtKKJeES`BtfeCewoMPW3qQUi zB_ZTWU?y0n0v>@v3WhsM1jup?Ehd3K4+y<-@Bku&Ts|1%mHSs)o;Ov&IRA<6982Fd zUs~nu3P>c)j`IMt5nr&EGY47$`;GqRsxNfy+h)fe)ab5=zvG5i?9{Xe zYtog!i!~jC1?I4tpSGA{!Ivgm98t1oYN&waaC&Puw0QMUuDSlmb%r9Is>Wt#MbNBZ zsLij{gLOmG4H!!kCz`iKKq;UkgCj%@ zo@Z(m6Q8N=0Awn(N&-q6R$QGe+ z;wE9HNUZz3tsB~0s78` zpg9nvPR9Kpw{E5K=cIW;B-a)s;yA16Uz;Cy z!TdVr1Jgi zc|yuVr=3$=$h_OSnr))&QMe%GO%C_p( z>NRD7fs6&~Ik`P{9AkQL9p~eu@wYi6jVvxY{i(l25oX`GSMt%|rZ|2b@oEDp&f`fK z*T$AHG@v)-p`lHA{amVIcQEGB%UNh-Q#|v)P(b(;M`FC3Jfh@yG|=H_$mDZHX(>4H$IMZpc+1%v9*X%ae`ABizsj_$t#sN0p0=C0SrisKM z@jdH5`>uL^mq&K-wA8Wl&6zA`#Q>L1PbwMi6?TBDAx)M#^MM3z^Df_1&^Po`vpj%c zuiKaVTv>mhF6XE^>be%M64NWWmP+R-+)?|XgWFSCke#DMDo8xqD(hW!#lxJuX#it` zv%=T<`M+r3huid5%AVgt!Dy6sj=VBX`Hj*?5x}Sf^i0p!%n(r_fLQ|z`im+g<`XXo zxlkW*3)njDI0(9^>?0kv)d7IWU0&BzLH*#(KSyzR3>aSz!I>Z(@?~Drl-u1u|A+)s zC7E~3x@dH?%SVl!@4-dOolI+0uEjb$jeo9GPrsADEH&^}rD}(F;e~u>{$-5ftM#35 zLTTsuM6sTJj06JFV)ge{J~V>)&rPMh;noXY4R! z3Ow2Q!O_+jrQwerX&v2sXb4KRAbxj&k6&J);Uz3?eq?j>FSN^{BZ1ca}o-H|2t(2$K!=NWBRpO*c9{_Y6J zJL!dB&=9QwMyLnfac*10`wA z;RZFCK6+0bIZqaRawfhb$IPf?M+T~Bi$hUwua2Kh#m2f=@n5IE7=S^S6l)0r%b-0a z%_jtjrP1|)69a9^N}7aSQ;DIqWPC^s0DyN!B%nb5D>axTVzts?d0r`-VWqvXY-|C? z262Qn9q55rJVkX3S zr}2Hqq&XsF7QVZJ)twoX&EgavfR=V7?{?_09R~Gx?Wd>rU$x-$wJZzb!VFS+f zsc8{|&+#sdPQox1`2}GK#qkU*+Y?CN5R*ciAAG>{eHPr%`R-LymL*v#;OdD*s_j^Z zK!z2Jid=jk#m`D(%Dwp~puJm`_%Y@?L3Z~IuhwYfu6$$?N%~$z|IC_)n3P5FH=iUQ zDO{l8eG{B?#&;Ob!Z7T6NG`C)-S))1>sLAg!$oQ{t%Aq=YH$#Sc&=jvJj*u#PqP_) ztIPsbkyg;uJxVUn*wjE75<9VBBS1qje12B)2NCaa@Q6H=n)q+ za95Y&D{P}&ya)7wsrY0WB*U}DUmKd>Q-`K}YIfs{@S{+1a-!(eC^{QyeIJ=GQPI2l zD0wLsL24i07t&9m^i5P%%xR!d)72Ej*`fx1-pdQkmcX?rX6;qNTqS(W3%Ag4I|QA@CZfnesB8Vx0Wg4UI6LaFnG& zZ#G3P0W>mq91i^&bBAeQ2K?w4kYENU(SmQIlG}9uwYmgB6qs>9sg`ydE)ysy@L6@d z6xWf_oKutqybyroiI6=&N;|pTgL|--nh`?YE47FOTl`#{0pwIo(O*H5C1$)(y56t7 zK-80}0@y$-SgAyirD-+`9g4Jod2|i9n>YYyJ}zz=gtI6jUuTDb!xs}J7@ERN^@Kzp zy*M;p93<&HyeNLDLV?0&-B61TlX(`=OiN~=M)B))3KgvUsd&oUsb{?aKKf?hk^kDH z3ncE#{AwJn(Q5JoH_og-`#cDB(1S^OlW)jg z$%k)lLAili2dt6U$y|*LvMCtSdPKHkx9g??k_g}fgzb2s9pTFSHr)bnPrnBW$_qQV zcrjL>AT@3pK%p7pCv2Xw>yRFCAAv$|YtH30uU62?rw2T|0s?U)!5tUX1zRMH&CO;G zvxf?>x4l%1JJJs+2ia(F|LBfwbLox@f3xhSxovFy1NDgP;Oa(pPqMTWkT-3DG?$L$ z#o93Vp}4jn=zvZJ947qE!6ab&4eL9WXppWlngY|2`mN4|rxaM}@xvvyt5nC2m$wO^ImfO@6(_ms%8%?X$xKI?1`X1@vYK31^@7P@yxQ04*#4>kp^hPL&U`Cv zhk3(Zd#_Y-q&1(Sr&fgeqfk8I4V^k0)@YU?HHn0?JG`x@=F{~?i8PPlRNFUr?`ROG zRJOSgO9Q6+q-S!%o`dg$WPR}Ktx)_KgQT%h>xS_+frqn&^D=`4zL(D!njX=HPHq3d z&K+~-4gB71AzXO94kqN8um7ykUp&pf!K)|ld=QQT8e9e~tU{NmekyI}Sn z+70fp3vqTty|L8lu;KuFZ}=ff}NGOu;>tMSO}is{cyfG_ki*e4_{OVI&e7QFLu`_#j_w2 z)2<5WCUlm+0jQe&7Ebx>_KJWM(mP4hJwN|3Hq-MS1hDpTK&pt{n3?Sde)q~L6o)FT zSxPo^IVFR83!JwCxH8hdP@q6OTItea{+j)}U~!${x_`=Ho+}9`#uHu#KV(ef-v~|I zNKTe9BODmbCgwPoso0V^JDHb(i*<_W2TPT8!v+`Kk)`~`!$sfp=}3Sk*JviIo9D)< zyOg@Z#unqE&Y#HLP)9Ja(MMn^QNlbQcjgOWn*1(a0GBrxQ8lcff$ANq<0 zKgkySfPTm>gN7V)Mp9kk*qo6Q$)G`($Ao~Uh>7QrN)0GOU`&|cj+&7MOXfa5TuQl_ z(*X<1yv1-&v*&hN3zgrjoAjjfnOQLPXLNvQarQFxAyXEb(*FJ5UJ`?wSReMAZBg}N zIRWzn@7QmRYcFiHTRer~Ex`&V0#n|GQ&4{I5PCmhAV5JCrw(ved(LLF6;B<@#OvVf zqNuV1*CT0RJVBN3N|Z*lg-m&=Th}tv7@pyyO$IJ!mV%?yjb@p%)yzj=sKN$0mpeMo zjz9zF>WAVu6epo6g?6ij6sB@!!v?|KD4+dd0m+`kM$QGahf#x)vD))ma*Oj+?7ErR zZC-kt-FK0ldL9u|jM_8>(N6=Ag;`)WAb6=BGK91K&*E&>g(mdJl#vWAn$U&nH&Nrf z)DJQ%|rsHdUh#?xXqGAB2gv-e?y%urAmNONkk>!hGmF`E2Bz2|e*oH|+P zC#HbxMgUKGW7cx%fgp0YsqfBayopZ2xx@ECWKP?$<3Mp8dS=cso|_ual@~9k zDDi@1K6BOutj+v!{-P67Z#Hq_TRF42KQu7(isxNL8da$8K&zAdK z$n8EMeN6jAWHvX};3?k9>B#x`;m1i6Kb`9ZH~Gv?a`k~s!*0~lz0I}Ulf};T{5Ual z{zu=z-FGi96zArF;~v`PEO+7X9_@e^3Ei`KB=Zx&ulmD%0b}ao@JmU9P!s{D(Fw@N zKA+*FBmp<}+1j)@?8UM^Hh8h=n{F*}%K9EB-sBhXljN_+_87fXl5gP+3fa$p+^{oD zGi7)z#bXNYRVk$(+JTJY=Fm7C*ojcFzF4bHLR-<{&DU!UEU3KzTVbQWhsAabj?)mmm6F*ZJ7*Lh`snmf<424us`5>>pnl1g&+!G z@v2W*`Ry#%`-b@g$K{UKH;^C*PAvR2B;@g!UkkpQj5rTsu*^I;BIX1*^?cc2e`{eV z-7|-VJaTisKos?t%2F5b@c6&-Ra?rr$Wk2F7-C!UHn*RD0K3g8{!QM_e1H}830Cn zrG8A!R_0hCr>ek3)zq@oF}4p+pgwWUQDX2x8?wvsdKQjN%A9zLPaxAOuk7YaY6F>Z zcm&v7?W)1`TC9rzph94VG!&O(!R(GmhD)U*&6|qMWL$PpshPO0{KM~vhd9_%I=)C^ zcIeSR{E;izemyV|D&N~@v@iO1Q3c=DuBZS!WjDtMy9~jTbi9yZ7ul!Bx71x;wXwmP z8n`ai<*nvYg(N4ub1VCeANt#JM~2yXYnL%DSdQ!w<+B82h;^B_85E!bf(el~jW}^<*ZlUz$3kg~z2gVH=U5W9yiMy}vEmeNFK+hu6RG?V~07sA%4ju(zH!l6( zB)W#xU$BgYnzeC z1R?`SOCZfnjCx*j?5ph9WO=#=$UH4+n3}d+)J`gv>Mj;}s9iYLuDaH>P}cw~;T=^E zu>Z7=lnBO#qAoWVq(q&!JGk)zJ7UhB4lnCBaXfZ!Fzbo2?%fgmb~aNMAM>GTr!fRa zT~DU~<0}-0Qi9yDkwG2M-OO!>rNeI;QgDzw7^}L?m3eDuix+wyE7gqv6&`JW;P*0m ziY8+mjpLYdrw2yG&&7cRR2BLonnaoXQQc6=YwyY97B_b6f>_#uOQseP~qt)Iw#FdsOBap^kZK1a9#v1-#z% zh2C7eajtmgc+$p1i~52XH>mZ)L4@uGDqsMC%5oWbV>i1p1=Z~H*A_X=y%QYm3kHKw zu()HtwCtOzDm|5g5l!dQ+YQZWf`!kNlJG~*4+n@RjS?fPx;=S)2~C@nG0o8kz1=Q` zlP^2u7`o(#qAq$H$HC1s@$}N?Z7Z5B{b{ajz$XF^#-Ww?4zoRGcL|#jo8~i*rSSl{ zU1UW&NPY z>hekznT`u1oeq@9oDsXG?=i~|%-LeE#>Ni|$9XIca2TPk){nxoFbQ=Eq*}O)S;!^K zb`BbMQrwRBeChp;x)1m3k4&dNVF4Wren$maeIs^#-#m^!Tu!~o?OmJiduxK;ms=+n zUQv_`zQgbt6aiB>(l>M90}qH0a0h|k0X%iE$&h|PEe@mv0GN?E)U=)b*5dbRd6O5% zXlLpTvpn-tcratg7QR!CFBE88bg(Ep9?RB55LEa*AO~z=1?A#1sN4Nj{CmvejgQ~i z^;O8CXkFx>ZG>RKPeeghQI+>OsdP0+qSehEg3uJZjVV@~&4ojNCTTkkA$WLf zrV~Q{VgJD9KcPQ{G#wvGxFmP>8+a~YS-xfZRr?LU-|IhMGIUil{tZ80(o*g3+dd-i z%Dg{1!5v_jyt|l+2%Y$jEEjf2fp_hNPIVeQ#P|7>ETUuqB?FOq3=_hk42cyg!&6)b zf;*QJW|S}h**YRq=#$v9BGQ+bs8nzpfHp-|z@5h_gS*%hkx^#FbXe>T(0~!oPH7nN ziRIwv|sz3<; zQ~kt_a(zQytmFlZYma&&G=fPk-vH^)rkxdaF!Mx-%9GOGy_UyEo?uq*lxqX*73-&D z$?;34=g_GpNO3+-T-u*_Y16;fX4vHy27GSnhvy&d950mHd(wOlHOQRu_W8f;3MXY_ zl!gvVg{H*wkDvdhef~+`=lka$Rr!Hd()C2mfBx}lptUd8O{tT2)FF&bT(IK^^wfVExqWK$)ALUrorJYe&xttx%ePKtmopsG0~QxpPP(!_ zm5vw5#VTmzb1<;%+7j=k0$f82&|~%}>z~q=A-13j+FL$qV)L=$hFx&lhk8}}Hk0zAa4*~h3`gvC#~1@(|Da*C3#y}vCm0#)X4zGoVubAM8BVjBtb%#~ z&)-+TuR01cId5dAPDe=avposWF_u2KvrzBIpBy4EpzYads_Xe8kei%GMVZD%765PU zngfZa3R5-BIx6H0H$-{{2~TkZC`NajF^_04cIX2WNR+jiJsfj~+(BXZ(F%@%v&a)m zr``_66`ax&T97Vs&%`4(Hf_~HwkK?*^Y;REDZzSA{y+G(6!53o@VJctD3fZ_J&Lpp_uoClM=F$GYPKBhB=#LC~aBh%lP zhJyj855#@p1d8wR)Bou^zaf_q!`UNaZx=6sudMdFNZ6|dJ~mfOJ<)mCg#k~%xP)a- z11}5x$rZ+Mo0)tr+&kO`z_4fm3f;*ZjH0EK6}O7fk;IFnif;0fV+9<-76Na)KN7f} zc+4_pdVhHA{ekjsy+4ARYTkG>`Ro=0pOVSRC6Feh)aapx&Xw<8>b(Esw@J$y`Ym2V z802DR&}gz(?Dn9foETwvSmCu-bIf>3b_8Q=qPyrQ>DV3sqp4lz5AE}}eOWaR&)+(y z9QaHsn1V0V1kp2Q*V}hCW1S&L%TiZ(xW1DD#{E@Yrv0kL_^O!5sJ{Pd^>Y@RzbX~G zAZyt(sUNSimaT8TPt9=$KuuZ)q)6Mv104nXoD5>K5Z@>y_@t_XSnZ5QQosc9?g{g( zr#Xa^VeFS%;e)y)WeCR?B-2I$-uJTQ%Y-d+b&_UNH^62R*n>CWTirqG-(XhEr*{=nYW@W4`%(Z17f4tW|D*I!LF!_wmdcp?> z24QY$&?A@jd5dS)Sqt2m^iP`2q>1kLC3vCtB%d_hq5@<126q_cY*BhM;UDduPoKJL zM@M?oH!sg#zK>&mowYs1T{%|586nGuvAW?Iq%$`Xvy^HMA`K>rr*kl?5*85H9 z8Xx+2RfQHTpD|Sd2iw7bvD%_xl-Mfr&Fe;;}8$?gav1WTOr15Fh@5s~ zGLqyH!``2r-D3fSGx|-wIUk?kib7e=#ewH`S>>E7m~zqVKID{j^YxT9;H;Q1j}E@J zH)tKd2Q{^og=VStw%82L?s`&1^S4uWd<%@){F-;8fM6zIH=My=NfUc_J@1s1U?ycu zB2aO8wG`>O3z_8w0gcY?8=4`iU0Njfh)Q7Vn1pi)&-lF20@HNXNxS?ZZ%Ep%6>0pn zQ9pcrBjc;@s7nGyNoLE;wWoJR7jvwCn;Eu&@JsPhakH)wR(31qP(UEcNkimN9_>%B0jV%NiQ9nH$ zi>{pVW-cPoaTkk-Y>*|BiAlL==bf&jj#YB_u&W)_p zNwK-sIlsZ;v8gLAm*+pJp8o`QLVSBcDQQFa_kQaWAywzz$C+~;&SgGAhazcJe1lgW z{@g$y72Io@McaJO@R>_2(-CD%UHkC6;u!(s+7Et?W4eSf<(EI-$ep9B6vf^gvvkHj z3BRbKhMx${#Z!LC?UkC)M6rR8O0~()28gLIXtDEFnf3A}WKE#A<)?z*F~{GR0HdB= z9axSZE#!P|B^8*hhU@gqO8PTK#t{kiOlx3UQkUa>7r<@MF6sst2GbBQjF z3iDHij{lp#{lymo1fCDLSYfh5I$-uqd(LGd;YO_`MJ1T_q;Jl0i{@7UiII#VOVMSabfGM?>? zOhztk0MIjchXU{KW!DY#3pFvcx4X{XTt&d4u~0>7(Si9TsmSvcm}FSI@LFMx1^KBy z#pM+>h`!`=JJOyjD}{bUfv#uI+(}if3^=KQ|2>+N9XYGdj>T z#(&jU2z-_R?JdHj)ld15UHP^v)#e|5ivOlik6Ep)df3twXhj)f<6U}(|1ZY8f?j!N z)08|mc(WdVk*{9pI9^Ga1Pee&`q%H*^$ zsh|2|r@Qjmb1q2DRzLC4D;1QD5*0M|8t=1q$PUeZ>tx~4}LO`+LKMEY59bwL^?GN+=2H+U6Unk1Cq94Z|iM|h=!wp ztrYS@f5-;za<}%!#S$@ye5JGjW2e4U%y6%ckL{IeMFy6mxU_gtfJv~{|L8BANA2}% z9^LYxL-kMtAi9LwU#OcrV}l7CU7Y>UY!Pxm1GkvEJb>_GKiP0`6MoxInDL*nCO)aA z<|uA=b}%8UTYq1pJBb5!hdY5z9{F~_W2-tFFGf_57?)1hTEk_iY;Zuqk6thc$ej1c ze0QBFx{G3~%drF5_b|nVw!G$K41kT$11B3qUXdxiW zIwb2ijNt&1fYyr4`XdZ+$b96NwZeY0MPlCz9Y3Q?(Ot}mUAQ^qXUN0TYfeTGTtcW+ zFGd|nYLZ$#9>P&*Pm*>etQat|c?se>Kr(X|BE0V|@C;5rj5D%dte)af%pT|4BqmxWnbe(D!9dNe0+) z(#deui9jZlLQ<68d7)LpyCAoL(@Zk!!x3m95!F9J3lr}y46HpJoJH|u12npAn!Us9 zD88$Q3O`BNc?68eKvgTy8%TuybQ12W^v+K$>YbL8U2r3lq@HL%KyjD>qh-&erSBT_OX0r$+s$z{%|gL zN@`*2_RIMr+L2U2yha6WNi|Y7GyJFMkzxXE&s8JAM2GDqxbDsmOEPo)Iu)93}_!r-n zm80%Q+3D%+_)vikn+P_@W*xRU{C;RDLN{uv=Dg8TN1i|`YeRbf_@rXKQ-R;f(Biu0 z()4VcPOYrV6Yl?h{zqk7{``*?FDHSi1HRBrqI%KUMJEX9$)g1GcH6i9>31b!2>=gm zac=4>&`hec%?2-xp*VcjFt_9s8VRt(B&Grn0}yrIz{QfURuJYB!q=idz9sv955x!@ zXrL5wKK%1v{{Dx*{O}j{hrjsnHy{2Pe*W?g988B@gCI`kdD-OZR{-n5*+D)W}&!! z*q6rus{8QYe)u!0=}&(7haY}sfB5SUe~Oy_`G-HHQhrGP{{t$CT3}P6zx?pizh{)W zC<^XHR1|j#+c#~I_oO-?$njtNgi84DNWjlN{3%JKBL18{_=^vJ`l>ig)C}TIP2K0G z-uduT%JtU}@ZqP+P8GkOTOrh)DR(EG3#1%$4q8Rc{OO0kdbM!swv@ZA{PN79t(XtA z$R6Mp@BH!~Q$v1e|MG{@Yt$ASJw^Zjn-71E*8L@#`^z7`T0{nKn0m($EeDd?In9h-YiKp?WzWQ@s z95jPpmiX_|Mz0qg?Hr_r+@~Cr3Enm^y{I_H>4KLKc#fHANJ*i z#Fq09&pBQv76}X5%y7kKerkO^&_E5O0K@_OdGYi^+7_N+Sgp8=(gY69A!!e!1?E?1 zO{{d`b%pdPs5(KKIsTm=<7Wic-#cKxcy|fu68>EpBo?(Cv{Qfl-~Sl;j3S!#0dz$& zYheJxF7{A3sgp6UAm}AY2Sqfh)m?Hhcf%9Q_XAdT;t&P0OlZPbxU3 zPdp1-93EE^7usFS7+mnyrbY!;Q`1hZijD68PL<&0iiBk71(bBh{gS!dKOyORlAHsO zb*-|yi1bPT`@k0*ok6vU;F<2lK01lSh1|9NUFJv3R6YmvnO%P?08InAdO9^zg?w)_ z>2T9`0u#?zy`74957IP_j67cCG`YAuwouw=)iF$PJZ17p6?LKHPsg+GkReC^p}pWE zI^DU+S|jC&bIR+Ec8{&Z zl$FK46TETNDvx6rLN^K1F%xsrLz&q%03WYAaonXT(3f&|tZ1XsD9WtK{=MlwKbU&L z(}*a9{{3)NOrdH&I zMqT~%W@fR;>bXWvMU|GNX<&`7Ah$gl%_}ODKvWUWbFKeNzplwTQGrU^YS>Imh&>|( zUY4JfEbJb4c)lS$X`izxY}hdqd|1Y`v2&y_%ZCvdGNlzW1>qSU+@*$B=;)1_;nCT5 zB(Av>w{Q^N;7S1c?i2m4aot?z3ZpTjz86Pq=A~zcYt2l=r1MTl zH5;Bb#fjNH6(2hMt>-VY9$*+9MD%Qi>VVfwg%uglN5cs^b1{CBYUgZWQTOQs^>(U1 z0Kmah(QfjREEaVFauiP4wK>R@^e43Q4x5~73d!Kg?HN9Z~oi{H0_nF4qQ{AtjEs92X! z2%aNsBw#oF5`G4xgt3h*FUEayV289tA%N|-H>B`arO9g-O>${Dl1dmjZ%TMye~EAp z*bZ;)j>e+f=Mq>rm&$SNu;*1rb6DHylL5@b$P#T~?4oKxq;0_jAU# zQBG(ft_?vajJi>CXt%;!ZySEhGX+YhGe2USM&6Hj5*Lv;glD#th)gRo4)MOf5Yjdq zCV~}uxk+=H#KacJ7ZQUdn5-7ue;kYIax)BPez_QSWoNK}xRbPmqGaSVM$It(2IfHD$gp8(wjE$y{AGV)#e zlT2CxWbb)E1mUN>f_5( zZ4{(QI3pq8hE5ba%xu)lBQ%b&R~F{vJP=HRK+=w<4t^k#+d2dbk%3PG_1dCTultiE zn*9me)D52OHu>g?xN7^*(8Oi_Y%EmjHc)tf`S#U0E3%D_qqTrn7U*yddTvu7PO2)3 z3kRJSZE@S~QcURWD9>y*Er5itAP(jEjGim1+j;xyniZLv&oUDJ?<5rMg3hb1u}540 z8iZGt#EfO0CE=QwP6?mEe`z`3Xkd6Lxo~6Tx>uLRL?X}fXjvqrZ3a#cfNPq3O>0*L zrbgL+WFSV~cNP>_zxQ2@l&NG69DFp&!!bOVL1c-ejL8!+;*rHj7*Ok^_9pP>6n6b?cOrrvGs5&txl@EUZsFhefW3Zl50zql;|DTk z&hLOjTV=f;&YQ+=o5)(IXYy`D)YI8VM;2&H7(}qjAJN^JWG0h7v4RW-rRcI99Xh>J zGT+qZ*pOmT6&-3oxv2`h6AS!IiU;!$v?z%`jc==n7R_w6OZerUVK_CYNu z5Wu*ox2FrI^E~pv4n`UoYXpd=nB`PJlSd}=c2Zp`W&9t$Alq{WXNSQ53u7e9zjz4c zU#NB*sL_$--h-}$tdn!jvF)}YLQMA*N&zWUI(P)12Jlh<12DUn;Nv-Jk*9*kNim_E zH}F*=IAX!B7}Fi|Ok_Ax;EfPk|2s8D*X%;7s1Cun!_r+n$Tk~iiH1Ui`XpYnC+bv-|E0ptU<6w#^99ZK?a zR#c|$88ZHoSu)^$;)pEIRf&U$zONMAqnN5f60Mk_(R$0vpoRL;cIy=9Ev|s%qabqW zqx_yu5d9Ht_w*5?=<`cgB3~p%T33IxOsj;Xw`tRxw3&R7-F)Fm?LZE+kdnAJiG7vW z1D^!Gd7_b1p9K07Oe6W|rLz2+Z&ZoFdX~SU*|mk|KdI=XtQ3utljXeaol6IO^a!dG ziHeYW4+}g9(8y?R$L})-wl55OQt^uirjkJl-w9K6|IDJheU-&!xg6|?jw16^YB_vN~4x|FDgQ101@l@|@2}%kbC^=C=ms zC|^Oo4+70_&EB!_wYy~!<2RF7Jxlmb3kt7;zkX9eq1jj z8p}8}2!qUbPi5aV>#SO1VQH*Me)=PmA!^{OhIFzc9yM1B3&+C5Z5==yh2lFp)kR?z z0iyyzRX#gY&*I zPnWvj%uV5Fg2!m@%6sVb!S%*c#5kkwA?2^>rs174_>BdH8Izxpc9Vkv5|kzy?rdb+ zUN6!ei)2zMGCHNO9j>Lof=Wv|KNLn;LB@^p!%rUfJ!2;jRz&C#0mkc786J~KFqBM& zgIN;32`eJ$Rqw-Og%wfrkz2}_y$thIjD(FJ9~zTC4;uuc2|IfOfOL+bUTYvby%?8zrsgZO zhVFZ^Fd9baYF=44CeVG3~pedMLJJh&Ib3 zJl`bmD!i=Iv2hr&&M1UVH9QFp!w_mYv&)EXTvSILUz9;*na?{T*_P_cb zDaCM7(AJdzbc$<3piFqN$?y$q$z3VhuTu|v2jA>ff{yLp5}^^^JSQdD0+|vKB^Lx@ zEk&tZ;uYFqnfCVVGb_K(w_BQ#@Ph=W@EAdYzMg(}ov*A7<;KG;QU;U~rVN8sJAvy= zZR4bPRRn7{5+|HC#GV7hJC_|F@GyyZW_DUc?2kozB=#cbdc|$}tR}&tCWiqI_vZ_X zm-hIy5Buy?p$kfM6a|0=C{u+km~+Il3c)u^xP4qtN^*ra07J{RJ7q~ZONOe_xsf^S z=!t+95q+h;Mlv#mDH#JEMl@$a#-uPwWwnIkEMm9q@9oL!3%?!*x_S;|nKp4By=p#Mf!E}B&?MmM?=Rtm*F z6A!u+p@J3jesd<5Go{Fsf``Om;AF%Laf`_EE9xy*O*PDu_GdKlF>T~*5P=FCYDIQ7$IM7M3xwgZ3_4$Lv()28lmWA%~YS&D!4F1>^Iu&cbe7$LxWw~}iJx|Y%kZn^; zGQF__IL+??q4|RIhYmE{f^|-QpqbnCj)}fN1q_`<1KqO}+P{7K2R8q}`gG28z~t9G zu1w+jzbos_&>oIXSAL^#0XnN}3vqx#Ox7%S59Pb4g&bVyvS&FJ93}v0xY$5v9FYtp z1)jjwsw1NZx7>yhI?Um-<-()Wl<~2`1!FUFXj}dPV(pBg$%5Wj2>)VJy2YEGnG=Rv z4b&i9-TGYfSZ9BD{!vvt+1>NEZKu0!GZZ!O=}TNTfvVf)OEk+sGj&LXcL6``d9T&q z$ULpUK=u14XBDrqd=HZ!J7@4Yng5sHrrkoRH42?vU{3@--hQ(^!{n9UPlvZ)i0_X) z=lD0-X>c&{F~JwK^|7*BWD&bo&E<+rn z01(NUb)dNca14-T7dGNL=*$2DG~YbY@xuknH5QX8oTQOs!Le>8?Msh5+2&1L77fZ4 zRhAxsF5iIsYe(lZJ9_~)jH$B_7eG^40tfyR_2I7B=fm+cfyJz3AS}jAil;eayw9;=GfVwA0TnfAmCBBoDfSFC~ot@ANPl zp>U(M?4gc3m44vIHd-M@TgPcT5iytz9T&n>lxks3x`N!0T-suXYdSg^@Kk}0-O{?L z;orpVqyLn1hb~OW4fJq+@*<%gV7v-!^972_98CMBh0Au;TpTZ<(!!Y|6R#4OP|ct& zSxB)M+7iJ)En>sZXw+63HF7hMY=2ts`vx>g(B^9fE zb;$NOpmM4hUlPi~5A}d~&L-%>x{J5{s5b*4VyHCEeCmjGL90MmPh?5t-IGN4TSFuK7Lqzs$%q-^6L5 z@y)=`uv2Uad9{IdcvR%p0sD*v%M6>QVE```=OwAqWvVUQk4R$i4Lmle4kH?xi+AY} z;)D~EEzrSr69bK_|2?%M7yN(Vt0R_umYy_HU{*obok$hF>{OkY65BFx=r|9l#0R^` z(Rm|Yi$rTp)j2%X zmGd0CyajHc?r$!7!U^!wjP#VYJcARDiJ$cFN%_${r6U1-=U_w!Yr%0}_t2pU$ZX7iTpDTimq#aoK;BgEP3xzSq$$Z~TwlcW7 zbV;3=sa202HK8+7Xxh~m+HzE}nxPE5k=Cr?QP@i*l^2@H7DMDtE6mHxbT3V9U0I&1 zzGr4xpHh-src^wu@XEZ_Bfu5^-@f?b3ph%iiUJ<{__Y)N5s(=w3>p}KjLZsO;rjVo z#_9DD%nFvHNLXd=^XDJc*7LU&oeYg#KmYXk&nOig&SWgQcX5mW>m8{O_j#LJG#~CU zA7FEpRgQq>AfaS@0=4`UY~42iO+d20`Pakqk69%z+OmNG7=WvY_H;a=*~NXi1E|OI zkDx6>B0y5OQe?th22utZCit@cbA+q0lL#oY^c|WB0;)CM9{{VTBpveyHeLtV_C>TJ z)3Y^nM4!uI_y*@WYp5JgRl#nwADWW3Z^N#nY?+u=n`U~yY9wBvUvc+TX zS2^j_Y#U@kkXX&Rw^MGMU2GDt9hY;d4d(=VmE1h_1;3uzZ`#K(BYQ1w8UbFzAM`cl zdux#%6FFosG&GD*=1HfkC8q|*c>a^Fd;XK&exp8kYbB0HdL)R0`56?go8O7i`Hf17 zNoP=-*>7g5%UcVs_?c)4yP|^iVZW)ST9eX>gAl8_LgjU(83!rToXoiI;~LK^0irno zr|>1&q89pye+w2ZUnrRI>WH>)mxAE8&M$&p!9%ttg|@Z8mF|BktCDt>X4Vpkflw|D z_cXZF5^)E4%W<^75o(wz`ZT_yeMu-&mO-IF2Yv&}m>I20;*xUa1)AR^39Um>V83Oa z6yQ7rCOJ%Y2Wmt5=)}sK3N595C?z#-CT5E0r8)%w!Ol#67#Gwoar%}!IR|B>qJ;_l zFq})8h;L$MX$j*wA53xwu5+}k(5T>qG?l@Z*&JrP0x)mP>Ku(OmlC*0eRjY zXj=)rWS;wmo@Q)=4xCNV#Suw(*jK81<7FLw_`O>k8FtaL54f+p3>)CM2op25tsda1 zCT0xWI%yyowqtYx=q`x&7OGVT!E5r^2%g8bxZ-Sd7_9BE!Mo^T%M6}d{ODk6e6wl3 zaUR9rbQFH+t~BAv%y1>`*0E zlXs-*9tylDbO^#ME;;GF_Iruy==h!lkX%ebO5glFr$2t}ywB_BfKOl5}s6*=Z&SO(s7ny;K3SWGrWf zOQHQ6ytL9DeoqFmOi{~>z=s=}udC*j+7SQ-F2#foxWurqdKt zl9oOH5pj%V?fXO_A?uWJugTht18cAQA3wu ztR17eQyMz39 zKuKT)4r0}x%7UXrN)8e+3#C*5UZX<@>S)j0artG)NhMOwjycdP%Xw81x>kXUV`Bhw zR0U=vDMdJiY5oHn8|^r7OhwqPAjO2Ll6%w#Y>j zf>S5-IQr`26*IarrFzsHAP$(#e#ooW#(?Qkpmcnt=?BPaS2w^tfY{1>mU|;$lUJKY zpDe$e0gw^((vsFlWpRWr6tJp*3Qro*ZeIM#Xzl?>E*DhRmw)?m zc@<4(>`(krYuspPFL0<)`N@i1{Z8QkaGnia1mab2T6^Mwv^|B;Io|KfRq04Ch&VOe z%)AFS4(T3SxO}u=PVurRBWr?frOc^3EA~`z;piMr7B&jW-~*7oSPN1HAU|RfF<>yG z9=;oqk;39hWvqNF_LcbLB{`4O8bNU3OX$aZAghh0BDDZmx{T2(4Z*b(yOtM-CkEqa z0FX~9>yetGZ>Z8&%JRj_CbXM=y0$#wtsG6-aI_c|2j^pTy(LGqZXqc+aIp?lsno(y z-;22~514piq|O$%p_~HG3-E}UH!=bY7al?Fs(}F{gXX)wr_1zs(DYjtY4{)MRuIvT zmwu#4ZHo4>sUC`P0D=10B79tTD=>u=9FND{8tcM>R~o4NhR6VFIrOMeiwh7Fw7}m3 z-U$RMdL9PBSc=b0N^~jFOBH^k0(hdlIG4<>j29ErO)`P}q4LnG@l_yQPJEC3kFxX= zN(sE>^iN$?O2Dnk^kVjAO!1oNn}^ANy-{cExjay zCur|HDLkL{8!0A4_a%DwpoQ@W#~yi4c`TmCMAW zUTzV4$HC|PquXw{+;$V1c2Zn~mi<59(PSjICx!NhUO6Kqpv-{a@|^lQUKq+9EDkK7 z<WHhFBt-KJa%HV9Cv^5$XZLTi$MfuRd%c7EMA_@?Nu;s|H`!CC z>3cFK)ZO}8-F?@{4d|W;y&{-r@VRiKLzIL}O9*cyL}OFE7b_rqt7CQ(#w;^S4wB*BHAQ2nPkUH zf#nU!Qi{RnI}zGWRZ95Q1eXc(Ta92TXS`@h@96xV-A8!-o$uLivf%9;Pi>_()78jy z?K9ri2;Xqx-LT{O=~B*&s5fFxV$V&DTb4=u44n*bxC>Daf9s1c*eDdVW(>L72ymsR z!bkacz#nxA`-mHPvpHB{VmJ*!IW|ujriiEg>rK;>z4v$pr}iU!-QEQL;)Cq%ggZr6 zc2%-dtL$SDh$ejwKJ={6c#jUpMNiwL%Wl>yW%=3S122$J4{#uD8G}C`V9Dd%yXvTr z#CKJBz7-l?QOSIv>C+}$E7Y5Rz|=$~8z2=M=Wi0&u-jw9lr`$eOMKefq~rkc;A6?D zM3I0RN2?^6zg8^f`l28-_r<`+B}Ke&%qUFa>lF#cGB7;Y5BnR`m2;v{*wnWbrl5CDQfSAF9L%Mz)P zVo6Ws07Oj6Nvz1&O8j*4HkmB8wXF-+fJ1Ti| zenk4;vE4f?KhL@!z=)7Wu=h-6;a!+|4rqus zcq4-|6xF(@s>ZA<2?NchPm?OLPUX3@+vh(iPp9X9Ru^Dc0k044V5l3n#g2W;IS(EC z5yAspi=To>wcY^hE(g#uUy5{(P)3}XpZUT6T|%(+$-*Etkj?h6)sopb7Xrus(o#q+%e=x__dPzino0+(yIE-ue#_TQKz7Mr%x( z)PmHj9!OP_6Opi6m^{6P3l2kjU?}W2FS}*VAjj3GiC1oU z%_tFF(H=@fujVJxle!bIq)tbe$Jb_fI@Z^bc|#R8FC?9qgnVhjFaBUS<=vBg8a55U zF5u-TSU#jd^h^eY>-p`^|8UTpBfjPw;UY#}WRuouMKtf+6_#3G{^B1!f6Mri?emWi zDzTu__z%AK#TU5l+u3!a-wno)gP!r1#Fs?b;huB4;>}y^erG@MtNaGUZVV0+0+iJK$f=4#(Fn3k zgkaHvjp4ftps(#=0H-Cua>07r?BSA0ib`rFjBiLvHd&EWxpp}7VyyPSRY9Pnm7-bf zx;a!sUIGU7!mv5C+hl@xuq$aj)MU9f0J~6y!`A@lYP5oLrdH&Ph@DK~iy+_KH#m~N z!VND-v4Js42Qcc0`lwQ;31`~#Tf|R4ON3n9^Rq=X+>$l zz#PRuDh8i(l@BzU^xs^hZb0lP2#*rp(p-HR4Nt{Wp}%^@v4yKP#=;_977?VUvON`Z zsp|WTEkm2mc!r~1X)f)hd3S{7bSO8NNwb+is;k<1X)xh8Duc#DCVk=INjX z2WmcOokG42i7ySn^uXQ2hw2D6ScO~=KZi} zOzL#ynNbZ$BcbZ5{+Rj;?-Hoi0fGKTQzbtwP7+JIfu0%A7w)Mv20p*#Hi2*pgOT$PIMy4HGb)oZW_%WwJC1JQ!^7hQybZ-2kO} zfq7qD>l$ET%+f3mAPOo&Fq*5*xM#H@gIEEo10Ab0%QsgIpVMw;*U0)=?vii8my4Gy z)8w*?9KxY~{+9p;3c_bxGb%n5jHVC|nGX3>-GcSsX4xQ#$ zjw1Xut^(1+wuLQMI@I`fwNJ2k>IUJ#A}r8`5aKIgK4?f3+zHV^)?P6#Ge^i=F!lfhnN{FzuG%yh)|%PB|WfR(Lbu!FDPu#+*PW zD~sOVRAv9<^aV()@w7t+E{&|h@1Sl#^vV@MTXMG0B{~t3>Dxy5qCW174x7K zk8~n^y(T2D@(te|VkXzr1BPA|BQ7NTHh#wu^;yY)c8H!hs zLkssk>;e}?z3No-0d)QcK=7=rB4cQhU~=={@|`VDk@9Tg;es}LG-qW2scDjo_YAg7 zVy^ZPYX+|sYXj1q2P=tY!`FEG~kYb8z*17Fd~-nLEGQTg%ohE(Lo{PEN| z@ED-uxES!5{`LCAQVT3eZbn18Z-dKV%KPdJXUr1%?{X>C^i0wvd5MBKktIVj)Y!DC zOhDG_s$^zo!6}n_i=)vu4fa&Zy}ECV+r>>(U6}Dx2W;|=O*+|`S5Jj;(?}8XQvp9` zi^+TKB*cVl;gbW#@|8_+xhtnPggCo_b&&eR8|ljEQiCsKv)H)hg{5t!f%&f27Q0SP zX1y;{C(~qwG<}dA^7BS!7&cP=FX245ldAeg;JYr0Bm;v15#6La`y}$xi!YspMTYPg=4?o(? zJ&3{>{3SEOLYG6@YBEY$rV26$Jy3@v%an9R(FR`gAt~uqbbz12Fd#c=kzwXIEmyZw zYe@|ZQZntqhPBKHaBW-y=uBf_p%eH?L=!-TJ^K+rl?Z z^u(dDXw}?+Ap>=9%miQDAY`K>p661bjHluXg>A>HXX?Eq1AhUqMi;qg`E6-(6=vcv ziJ2b7cjt+BIj$B_v8h4;5p|OghKZldlh1=tw0O@6!B7MiRFe)FV~#r!zGWGQ!$)&{ zYHmc$ou}3=Pdx6kDdjVYKG~a#9J~A=arWQGniC#msh8rg@1N%mLac%?3t^x6iwxL*Cc#woB#B|9fkxF#r#ByS9tNQYvyECiOS;_HxEi6FjeeZL zn)A);BQU<+Y@lO7F6xxRz{?hyxbCyLo`xZ8JuhCQM2t5;ux6=4*Gpji`N1OftP^uV zdFBR#ngDn-x8k9lV`-S<8>mW!K@3Athk|jA)wMKk3O;Xb32eyJ%yqMn%-Nd60nACy zH*?HZxzVLw6jP;mdpA-q*4(UXW7-u0-qwu_Hw`zZhZj)`Qfvpe6_Q0dKQ{absNZAA zn(C)<%QOcf%zO)gO5^>YImSk(&{^bJAsuFB!fDT*l^?|<(|1xcsX9hy`<0vc3^MM| z5{`SXv6jMsMjk;MnVEDR5od0^VVGJWKa`uby*-y^lQ?!W0G9{0gezmI-kh1{GzsIx z`X4oAnd#*WiqERLDt0RY<6-z9H$wqm&Kp{hfZ;(LYJ(UY|afd8v>Pb>*UM!XA;l~od zk48okY1a+k^He$6<}5C7GN*y%h%}eyZ+C58!cqZ8nS4Gbdn~>|Z75y${G14Wkq;!-umkh*iN+%trLV^>O&H8tKQ;t!ie^A1XN1m77 zxzP1Kg3v%?yRhUdo4t40h$vKGrIM(^r-K-T7$&2cr)8~NQdV{#r&3-G=enE; zBlQEgS7aUqIoFIuGK%Gbjd;W= z7~3|#kkevfGT*_Zb;dNWX2K#TjD6Rm9dQ(vX<;i@v6ZcPTvsX<13ZLmy=0W7K%8D| zAB^%Mp9x8v*!M}-P7V4qEo5;`{s>^4l~MELq@-CHld(FA8QZnE52?W2#=W#6CuJx_ zrsFicX|<%48(peYBtuv83Du9{7?2SZyJQ`~BY5(UT_3$indD>;E$S7BAf5!CZ?NOJ zFSPJ+oRsoK!@jU|l0H^!C!`M9plD<;k-R0Z&I0z`A|rBk+r*V)|2`)ONKxXj;+1&! z@g+qOV>K<=Gfz*BifT5a-^&)S%WX?%(ITEnzjAq5!j#b2bZ0O83}x3_3IGdl8JAm- zN4TRf(JoDX4P7snW{e_ zZN@X!{gB2I{xV?)S#-J~4(w7c>ma^^$dpK?@oxV={x=rh9|qCQi;f_SO?)f_I9$9! zW*^Pm6llnq)4DHlNB<6+I9Va=Qvg>ByurbZNpvDOTGBuk_kb6G$Jm}0S5q;7JMX^A z>B5^iD`YgE7@YQj<(llWJHsyo z4LIieqO{pe*n?ZH9YrTMy`p%UX@qx80|>VXX!6j4QfE<&dei~tTT2Hn7a}o{@1um?wx`!f%?n7N(INt}*cb~Zr zJW$I)fZGmLPNzR!yRfnkP2W@firv`67iRru?*?pVGmaTZ?rl)g(bQzR59Jtm(<&I} zLe3^A6MA{6NvKBcreRDb!>m92tY%;KB?GeQN#QR#^VP`$&%U!7Kh4O#wziLWF+7mT zSDYC|u~q(Z^x^YQ&czceVrFT#jqUoO?+>(GjZu89$VHDb)+a6(FE@)ixh?B6r;FK< zw!-k+wdJ_r5@Y|mSqT2x*}Ys}j<{u3Z~*EH`$`K3_X>5BAIIY_G)K;8kI(KNg)LsX z?=ZGRe=pmZyzZ+B9(goM{oYxQLmxsDyK1{qsMhW!)8{bLq?F zeCoFQ%BeD+*^}^K^umy{YIPyO(cu7B369Q$XUzE5C^&jyFAqNTq+0Ge;+!Zv8TM>H zHc#PTIm2cT;_vL;);NUscnzm%c4e4U3_l1?JBG{xu?i1YK3g;1%K8L+Z`o~frXHGB zi|)I;hq&Ww+uVGOn36xfna;(|PO9}e9IO-+uBk%0;^K3(BO8<|Q16CQZj;gW)U-FN zZ#h*%CojLD&)7Hr(vtaG-)ic*7(>@&UY9F0k)gfW9+xvJ{L~pWmW0c57-n>U_7ZO} zJHB6>OW`XkPs{#XP0naou(m^DWZ*TAt5EF-Z;m(I>Gu_Uy_AB`6^Ef~ZuA0Pk4xbI zo9KJ6;G7vr6;?SqY+U$DUEp;?DxB#cH)Sb!))$rFs)TZXA=B@K5;hH7bg7(&=Dw_( zhw|rtG^!rvoVaOKECfI2EA#`yR^Za;P&)$eYIX$MaQdRDSMREY%5fuF9gk&wb2^Uk z4~u3|qo70;@H11UTiHJy-~_aD<_!rygZR7moab-hphfd;!@OS;n}JYyqy`Q3@7jJ6 zJIuTT(WK`?!1kB}IpciU++N$n(TvlX87bCe2n*MRoitZyKjLIg0lt(FI=nkK_9>^0 zn0idJj3fs2xaKZTzzE_2q=DJXqt|Iigf~3Z+|o>K;wRw#$mH>0Wb#HZ1Ha0w@s{`_ zf4WeRyAEIKg?{P<5Fk4)t@v(xT-LxdxYuz|_uWu?ubxils*!A%c4RD_5E=?_vKf-fw zA$ukbafesaFly3xgW78p zmQKP#C%g+hJTrrWsl+jNPl_{HqWlmG5dWe@C*?=3;VHk`Eg7t|eHuU*le~!J`5uC7 z7)G8Z>8!Ocbr(aLD-kh7gcd^B%5P|jam+ZW&BwgM-KpX;7`p$LwYQ0pCA-eVUQ?9h zNpB1T0|Pb;#~{$`DyX{{|344f8U9(#!Z7TOH<6iG=0Y5-XEH?h|irI89fNc3dLNisD@Sd&IWKAJNHx;2!>YVtya57N*u zM0>UGsp$DMkvN_=47!3$GKM@PxvqmK!+A+30urt#BTl1Sm3hAwdN`y(LPUcdyBr}v zYxcnRH=K&E^#&+=76-!jLX5$QA;g(6u0UOrsy}`IsSh>4jrujVg|Wek4+y|< zx`QfrJh3WvCmgCturN4ekqo;gpUl7;2k&HggRGQf`5eyJkaYoOlj$oynbDJ#>e2{; z#JGEaiGW{y+TYO&$ao{sP}sHIyEL5r>N`DvG@md-+{Gl?Vg`abH5ht3Ax(SU?K2e{ zM~e63_Ymr^%n%ClVMiNhW|oWla`UW*8S-_h8R+P^k^NH_<*87h>!r*#Ia1RsQV#{= z1~3)vm1dt6=^wKNzeiOw`}JRZ@nT=$I;qJyIkf)+ESYb6zMJQ{ahNkD;trme{T7zu zD!Zq$fWzHXM;i>m0N;Elnl0y#Sg;jo8DsTI%!J+p!aFyZ@gAw=F~-$~!?N;Xy=P=y zv7Xn+ycqtZb9J%Z0aJlWs4RItYjfe`8+ct*RdgEjj&)X5x2lwD1lf6w-t#$kqv%Bq z`vbK)nqm72v?!$9&{Cy6!6G#}9}hy4mG>Zo0h`u+rRC|ZBDhPDj2hUXme(RPog2s5 zvUsOY$S43xIW_53MQ?Lc}ml9b_T^oHj`$*B=fiOEIu9 z@sw0zx7iVZQ9Ih57|KFfpGVqphd>d%RrxYoDKkJB-3Q+bZFu9Uhhwk7S$#lw)(|S< z4{IqvYB3^;&IWT?ttV^Uo+JM_t9RA9SPs4QouRu?I^)gM8;>C@RI~ttb;vp1E#ua$ zvmIV-u9P-;xR{z|(Eg%9G9o!V1nZiso?(uK5O1$voQGmhW!J`hlN58!zJI=I2c_3H z<_?|lfz>b_n|X$q=4H-EC3G-X?XYO&q4CHYIRnOyK&Lap+`}{RIsJQc;M;9OA$UGxzNLxDH@I6}Ox?{Y06QsYS?N!ADhG7&>1RBV0E)9nXpq~J&K8y{h zdC!GyHWD!Vg%>Z3I1uG#HQiv!7quzsrNz#w*)lIdo4_fjnjnqomTG(C0acJ3!R-Lg zfxyhHZIDpULD{p1$3Mjc!6;bK3z9GSZCoP~irsX@ryu3)3mje2Y0!~voxLL4XFHo$ z>#BYHs85g1_aEMqGGfz;rLJOH@`CnUvqkLtwNLr|I^Unjd|2gV(QK>x8QC}stmEub zGbZv!Aptg{5zVubikHo-dHi<8(GJzL)Ve!CX;|m&s9P6X!-RMD`Ba4ZbJyt`&7m3R z&7N)d)pna->X3G2j|X^YqEI`JXV&PzDAHU>Dx@4u1_v4^HTb(eDA8iFniTc^LrGB8{L0^F0ro#?*ef#V&Lt0ywk1 zmtOMH^YDDEDjQMU+f)!pRqwN12XybVyX);Y&A$fRuLf3^e7sr26}P zYw?id#v^CKgvHQk-v^MsYgbLS&B%5@GOLPbv`UbfHiIyEhR$~OH_LQ*(aRte5j2jp zY?nsu`jhchiB#^pF9T6r~)+-Om?Q}=oicYkB|T8tlymg1W&INto=DBq}y%& zI%|aD2Pi6hZezj25(0oW^78SC%{Ke<(GbN&##`YkPz{MI?ksjg0ZeAx$yHgQ@1Q}l z=^a4QigWbTD z`4r|46=$nc<6T~%p}t`NhWcpn_4o{~tUbOA5*!0QgwBRgfn&gnN6#nH+#W0B>}gSs zXcq*2SO!NOxZ7OS8op1nw{qu!JqfUL2*-g>4n$26n+PEH$}!aAdC@J$9D2UXw-01K zLfw{80DC-~X!Lau*=5I53_lt2kg*)LRn16<@{F)<)^zk##|+Lc zdNPg}|3a8i>*<^NIs?idd|5!Mba|ZWV!eg~Wc(!TAvLA{`wNx3#@h`tHFgJZe&(%p zqJ4_~4yor6$iWag8#xcb^ zkm)BpdcK08+96MhPPK%VLQH~0MiS3}b-}moJsW`Sg-D@xJbEU=gyJGk9F%g4==(I5 zQ5@h#1C{u*zx&ne=-zMQftYE>cJF=KBe6knW`X;^rUQhw^~!2V^W0W{@q1+_fSYa{ z!l}qPh@KXsomh26OHWG*lq5JQNmJhQg(S&w#&UcuM_;!{IoIKQ7$>k5(94mD*9GZC zfPP&sK~65q3ACJaB1fftM7BmNKJQ#Y!a^tI1mBS`*PXVCAE5Vj->ui^EuAc^XG@$0 zV*%4#!I8^PhJz??+AsloPi;;ixYWNib^9hogB*R2BoHo1q9E!;?6f_R9`9fxCmOdW zWx!Q%bj}yRnwd6;3{p41b+HJF2SIwo$8h#((6eq_SyIDN2*(mVJ?e)7Arg&V4c=8@ zLqDU5Fn>DkoX!#=yY}Isgj@BpG{*xlLp+fdUKllWvTy0dH^=jwSV1oX*0YzTeb!_S zwSb^Zdq#~bos4xSld-7YX_SDwsI@u4!)0iMHwj8b&`1By7s!3M1cI6LJZ(75@_L&K zFZ=)SYes5c``kB&zUB8D@J4u#qxtsA&oJHVMDl}}k+7vj7P&f65+)rctt(Ce}_ z<3S~Ihis%(21l92U^;ejBqi9|c8iD8r@sb%A<=a*YoFbdep{5)eWvRkMYws+kS>^{ zbaKwS54*hnu*((u@-BZ}FdMz@XMaUiS730OG{pjIQ2ROqUL+`yAL!g&0B3s?3=>=q zyA91DNZ)P<)&*6*(%htSAX&!^nIQJ{fFjQuS2@p4NVy%N*to~jx~Lt9EMrX{_iPJT zW;Lkr+H8-rU5ArOVAe3!f@Kfh*BlA{(@5X(&;s!h-pghA_{p}qfBXn|6B$58s&=p7 zID3;;hwjsRs4GG6QUmAHdJ>j5u4hZlhnc{riDmI%H9H_$j^I8gq2OL$i90qhFGzm{ zYhnc~23&3-M{fs+T3R81pVARo=WoO?T<)`mtAyhMBv<$FNNg)w{A_ev52UT-_nCHi z_?KQj&26&!n53ly4J!M=Wz10YT zgzK2c6Sn0pTfp%`YEw8#f*40jJCm9jxq-t+-zU=n*$PdbU$6RA znAgj^966yTTS%ZM(tG|yLd!=;Urq-;?&&gIZgul{qiZs~Wr-fs(U1yeBKrj2w}g3^ zwE9KW9}aNTQ;j)#ezsf5D~OJl%i>}n2K^%z6J?eKq9oYgq`z2~a31s+Z)_#PwX?P53o;_x`^>tbO&5C5Elhn*1Fk!E z10CRLXvuK={NsP|`S1Vc=O6zodzb(8hu_Av;m*$Z#{RP({p1^;{qQHh{gc1XAGZ0c z3{Z_loij24N#Bv8F)wrG)&SSz=O6#e&wu}$B<%B#Ke6wB`orIa#Q7#;b)VYQ)m>x% zvp@OCuYdNZpZ)l=AFA)}X+yJavZB7V zmoz!|Xcfk1NyCDRr+U%VC$eup|M+)4|M2uR_kzECMJvU+Ig$oipAS$4%vcit1Ma}z|NP@0+D-A(AAWO#SZOSz zys|(0*Pngzli&L6&*YQQcuxkT=|DTlZTtgn>>qvp@t*@@;q({Zpxve}$-1uBmHm^y z#|{0#XP>Bs;$zTzP6zynL5ZoJk9olVXH?R5CDk#i`g-(3{jj5YKFFM9dK{>e8#`%(3iZ&0UXRq6*uBR?4` zUYaS@_CN7heFIBd|jeb?Yi?nH8Yk=gadM znv7zT0SXsxJ=BP9{R{&W(l>3{_|@5_Mtli#Q|vv z>RVsFb>&;^(JDt{C@KHUx<<-)@~QgVt+B21;YORFU|9)Lk$~zcEJD5%5||OT&1cNW zoin1y9zGizCU4-_L7Z~5DV+=Ouewe&`?oX*d|7b+_|G4|Ti7>HHHwC2=ujQHQV6IN z!hj<`XeH4)xY_O$UnW0lecjR@%r=kTUv-b)og)OH?j_T5ftn2~1dH5rJj?Z|5tb8q z0NS|o{aHh$aNCRp%5=&l0wqsdG9Bo%+X0?|#)|eqYMf0Q6XhQuiky zv(y%H5+~AHgmN5;`^=1S3VKnY170h*i8+d;&N!BY?`y7!(WbMO;exozcLJ7i+%RG< zt@vdQBm{}M0|869l=}{P*Yo9$L+k+>4^)#4LRWghi5BdGpUQVan=FM!(ox?>nS5C+ z+Fs^{alb2sUgag|Ih(}>nQ;$8OG7O&0sjhg%V#gg;Fa(0m#F+W2;Qy|;>^g?n!Ynrz<2k*N%T77tw^79Xxwr31i zL<qXtGmU~Xz{fmnf6e?zh-6SFbg`&-gSDpw3pD{<-4-#_7x7ireeYe zrluehr2^YF8E<5uf|r}+Zj^@$uOaE`i@ZloAMi)@!j72i*mq@7wi3tu0lji zfoWg{odk~l6>#geNcsF4)0J3dS)B~o{;=R9AkzCTZX(wfEg!&cV+E^xJ*;oL*%k*& zk*n$mdi4r>cH{w+-ghIuT*AG#wJU5ebtAZ>W^ZD@{Ir)k(4_<5()(_V?-25u0j2B} zgU?-`;E``y(M*C`O= zqxZph-|_mJ+krupsAVTWtM?KAo!9Febh!DB^T`I08_rgs*I-*R;aG3P4V_E@SMSr& zuqY%{4x8Nj2p$-Xma%53X(fxTHwZs9IQg{D7zp;h=V5DFAwpTBtc_n)h3d%n&k~dG z_cCI4_Dyiy*4Ysp(1`eH5Lx#MSKtV_zpvPf4TMUG%5uT>RMFwc*~}R{3iq^da@sav z;gY@`&~POl_I1#Nz|Ybx3ve*Nz%MISAMdmE8m?J{xyST^(DVUe4V+S$^?>-x)>iO& zc*AKjmw5xG9G`>-zz9xk;BW(4bPsD+C|sebkX;I=bHMq0w6YRABy(pAe*?`h&cHG+ z>WY+HJD|7IOK}%t$Fu0XrL>jOqRnlbcOh;t>5XGz9!LVlKUp2LV`1k-v^6g{22Di} z1f54N2t|_fM&4ITGAhvd2tYS6DHY5+Lhsr-?}OtMqB{sgng*FSVs;Cs(e%?D^0P9y zR3=}vb+yVX>JplVB!Pp_k~}>AX$k07i-hoYjwU6ZeA5ub_k`czX=tA9R8zPLm)3uJI5ScB-T!KKI^Q50wL4p{}1 zH9k*@Ghx9XY?1%G!or^HvpBHNtKc0m2XzF!Z``@b-{XN8ON*{f-c-uCRUAx94QPv5 zeAb{ZBqsTC#H1X~is-a8nZYb*90c?m% zar~CfNOj8(`F>d-{>pamJcKRzl13VkrV-m=INRq)3WP#TnxVyHn1`F4;3B(&n)2N@kjvWAn;~&wt&S0+z~uN_LS>;`jG?_gY#;U;p(ZVYOV<= z?Lg$mGo*%uu+*7A7mjvrw)qIPo}L2hdez7V3br+572G*+I3d%-mDZ3x70hS=DpC{g zD=Tjf+2bEq@+8RUq+QfWIIE)By4dZr2043VB4%89hG!Ac=E_LWfI$O`X7`WZDf0*1 z+}8q!j|WxWDpwD1dkh)eL%3vWfy{2mg)=4KXhtQMMu~>6hpwm^Jwo(k6msq`p7auK ztv3S_dtQsw#pCztWi@B1h$-t6g@N5l;|_A)x`JAYjL8bu9(WS#fYePjH$I#Zvo?R- z0!aewLZ`YIE3QCU zJCo#_IHXAn`v@7bt0?(V z7=;ib#-aew0IN|^{Vu(Y}Z7V)T>N!CG28|O z2q00BX;W6>L7B<@oshY3mNnQ)ixQU^-JG*i5RqNu+HRk1a|C)++x!-YGIahgte03$ zId2NC%Bz`VDB+?|YLMvp15^6h?Y6RRur+M+hK>i0iCdm%-=(5|=kM^Pjc1P|LeHfN z9fG1QW<9VOwL7bKzz5IvwCndRFPg;)-tcZm_Kby4Sc`W`7uYEE`bt$C0;~PK;Eg8h ziBm3(>ee05w_60JsLEC?hovx2Z@U3-95v)kb#dG-vW%dB2x6^S%eL5cb#`mNUac6{ z`!${OK>nu9x@kcLzCutolqB~J6~*Tj@w70ccn#E$!-2N{OJnwgWL{DnmYct{`kTej>~b5;M0}( zy7jaryhg}|QGp%@RmEKBN;7fY&T9aBoNVvO3WN_15vvU#UG{I-2FRk}HAu%45@+y~ z0=B=0#)8@;66V?)Ed6XnOXxdMK-VTdvhQoFM@2s7b?o33@WVu3}J> zzy>b?=v!Q*b2ySg>zBKVb}?LoG~VK0rW}S{vulVW|i+UiP!mJ z!e#3$7P#h@%QcQwc}uwxB?>K`tO>K((quXbSllzEJ&^jnhNH!lw9MyS`^DRpBOQ!7 znJs7+-JLZO7mC)6MA+2Nlb*h5)=5{|7jG8zi@#{H<{B7K%z&g^S^PWhfEp0(C@sc1 zPhg9@{xYx+BxCVjgsZYZi4S_5GiRW0VcNygN)yh)l1iEb@PTWX zl?YBk!qlV}(XT7aQva5F9y2@>^n2lQ=*CN-Z8Uze_E#odKDy#f+!1aj zPH3sl57T~T0$j`Y#FaYvA4|+*UY_7$hn%w^+ht^b1Js(s->kKGhG23sObpi)JAF;w zh%cLGh&62BwV=9z@0$cI9zV%snkH)@oh<7#=<5n`rLXFWd(d>ul4Lph&zYrgDm{sn z^av#NN_t8?sq%gCnum;)Q8y9suQCQ;SENbmy&sR7S%DwHOB|^R`j_5!O>T3Hl-MF5 zltU#wRPw%B(Ee0NhTmizn6z6}`TPhAcs-lQ{dC`^C*UgEUu5>p4ZabTE<@*pZWrrNtJr^?=8CBu&Cy$HGkRaVE;~{J>G-A`urTaWTXp z?AYSXvOx@^a^pdeVR&tz~zSOk*WF?AfkJ4m8%^D}YYsAX;tD`|l- zM)6ySo6H}`*!#}Xj10X^pD&Z%3*AKA_@v|2rIrJ2oU|P7t5XJKXiqOyGZiyN6m7pm zQaef}qPT^eB|Da-7V1Qlu}l)+Lg=ycl{8niEFMcE>m3t2k>&-~kS(1c_A%*KS|aj7 z5f_f7?P<6>5Q$F2g`*7Az#sbRiMUA3Krd=|yTkDuqNjQSQajZBbbCS4O|xD4+cgxLO)jnS?YJ zNupmknHs9Wl+B_yVzN%ed5P|Pg8b|x8jFfYlgwdF*xTggO~<_luiB{{FiC z8`sP8lssDG6M=3z5tzp3^7^S>{4I4sTy^cbf{SQJn(>-}lR4XuL($-$?`qM*@yUIL zbet2ss|b=~OS%7!&L1e|oTt#=m#_-}ip^|8OMQV$HwiwY({G+H;g@fUHIgr=FB-8k zu{V$3VJk`9+T{-b6{q!B>~7^romcNUEuEp+?dZz%raauL0MUv@Y2V;leq5DKrbmz; z=|Xh=;-X;5q1zfMkOnnT^7TFM$;um0ZD&#qd-|A!uF3ZF#~!gMkix!aNX7we>Y%lhf41B_WM9{Q|U}{U|(;Q zTwNB+pX@g)D_5D4>kgxn_M=lRtCO{;y9Zkm91#^zKYlcBtfx^s6wziy%CUTto(;HO zF;6W9B#_YB0}&A18VIbmG=hUBcsLv~{w6pd5F=th@p~4GWX^z z35~ef7(6+Qjb54OxBi=sDr(7OMNp8gh+f{I?T36>R~#9eeb}9hO7N8KN2IE_5CE{x zfiZ2ZX)yrwWn9hhruA#P zy*Pi}ChwA2g+|x~=6Y6Qi^$2agaT=xbSFyirOoKot<879Wd`zaV{65S16Y3lHf8lg zH!rBBTpk!8&{I{(*^YX)RgSCB60$OX1+xcRBFDDN_u*ML#@pOv2O9|=rXbrreg{EL zw1$8Vp+-mpu=b+o*lptL=HsUI)DfQD#76 zepNM(-?0FAQyH%tKQlBunh3sJX!?#CK<4TB+~C{uWpZJ68*f|2l%9-Po1B|ec6gQa zJ35LhW1hRlDw+kn9$G9)4kL;+O|S6%XfNVN27-f7N&nd|^w3)z7$jaypkYFVLO2HQ z&~fu2@K$!t^wNla0!&#Yky<4#hTtJ+$mB1eHOL+6N;&*{Plwd*Xd(M-A$jhvkm^IP z@`F{VT=*szojU_)1Qj!M~H9yG%qhAl;*%?R(#x+ z0y&j*(|%;kvbgJ~nyUJs%k;!^Pn8Poye;6!>kAEmR^Dh9xXVvW0^-y_;B57b&R6;? zMrrbvW9MC$)o+f2tPNwGFZq6-Xo#h}t zX1KQ_R3|0!o-D(vyJuJSzFTaYo>*|Z=c`%khFWzy3v8-+f3kLqCB|fVK@yIC(g8>v z!}VsFXR9kML<4VUeP9gW@*Bn}&dOF0Ih8CPC?C%HYKo@J$$6-o91 zFpl`{bTnv+fsfQH;9DqslsezRO2&A7xO>F|7Tfa@xReN+=%{lD**fdwp=etM+}t2h ze9aEh;r^oxhct=GXsK7FbI?LJ(bu>4(znPnI zc7S8;K&!RnP#^y;MieTOy(3M3LgR-r;j~O}=aHGgw?ni`XWe-bFe6s2b?92#jqd^~ zEvc+DI)c-7p~R9Dzpml%tfL)zcY#Nx5HL|Pu>{QsN2V}?I+gH3+T%+ExO8O;mJFXB z7dYd_+El9*uoaFOdJU?H^Bx>>tgd-3VHz0s*?<3)XLDFuHy!iqNpdd8m3C+Rg$56# z;z0!apJxL?7Sw+pV-5?2N^y|@GVPfQRaxH-K}pBhwae;gtz<FFQjYj1mmrd;44m=^P1avSK zaaV8iU3Hc6QCJ&=Ffp}%1;8eW2$(Za^E!KiGt(2+#`Cg#^r*=l5!V~-_J%&2g;Rzp z0wrAz-{!RPKzG^K4Nn~^?~y?ghbRw9Axqiu{i`mudEdh zO)bUAL@zgDARMU+pD2h&;}b9(kp^sj)C2k(ADMvn{m1`4z3E55htXHNoYT<}-G-Zp z0op`T)oC}?0b8@SI>6V2%bR1h%lEeuoUe+~DG7{%5~=pP9vdCOl{;&~e3%_n9JR1rY&) zLm>w#;LEC;x3J)NtQ+gN0c~1yC=exa6t?sg=VaDhE^ry7LZ0@^f()k)TNk*QTd3L| zi-nIWuQ`xjlGGQCO)KlYmd^fWo^Plb`}e5dtq^r1BV-Wp?|xZ{MlD7r%whU*6BltvH<2BGLI z=g6ZY_pE(7!^*$&z$WB4M&411Lz&Z;$jTCIAeFt8#NnBwA?wNE)T1~YGKW%bR78#H z5dc-v5U_+Nf~MR<{AN+fAv4M650k`T6ABV1JR30Qs}rE*tLVyow5{Zho5fty3x!#LL^+i(O<40@2 zeKik{AKlZR>!QhN%xK`Y6?Eo%yaoV$CB3_6N#X#sTMZ{{))86;Ng1kOm`#Qi&C7gW zFluN~7PMD^1eo@}?1Yya{6F9r$Y5&H(ikCoj=SMI#(gnE$T7a=nfS$~%lIVX(0p1l zYirXK`NnFHvUbeJ=%EvESXT!w$TjZ88m`TZ4iBfXMxt{@$~Y1hFM*Z%Zok^VzJ0M8 zPM9XugY0=yTk`wNx(A2N?(q|v_ij@@e)8!*2KcSUC{^&?%xC3Js1K!^1x5n$=N+=EtcuL0Eo}>fb6xN2WZijHZJyK1W z?7ew5(BhbIubd4PbVHDCBrw9Y2b10o5E3s);P`W+ej~zOn{AQ|iZw9Yl9P0onkLT)s>KATPRM#Dtl)=_yXBdHey{)@4TeM;bU_3rrGZ|A%)G1C?}UOXzqH5<3Oig6rOaBa-2p zcC2zlshfb14`^rftpg7Z9gy5fH{lWRLN|5o_|9kMYJg!0Sz_dYy}?gF-;%<^LR!g^ z3wl2F+p+y5h``I@!g11~V{9DJ9C{)0h9guLbFp!!T;Br{f#>;YWQPz=N_Vy1V|-SE z37;dSJ`OxI(glem2)uv-vFGN+en66gB=Tv5@34w@%CkVr#B%`J=aY1xWrozg?K?_i_Px<@iQ7^Mohk20Wy;`22ta-oYX{yXRT&H z-(~K0CT6g1mbaGgzH3zDfvbt^uqElkfK#t0>BPynlF7qdMYo66iRj`%tZzSLiw%wP zSsL^>p>=pnS{uKsxMvgt4chCQ?G50TX8SOQQT?QB^GOl!ylV+Z+fqT#aSefE)({Gh zmcVvTQh+C;VLZr!l2KD5NmO6cJ6%n4i6<>J9%Mmb_^zc0ts0~}qVYj!3Xg4s+tsIx z9js3bf`07kTqSa0(sH2R(;YS*{L& za2b1dLOW*cyFCe4AGx+qA1TjF|3ReuPA)rj;1gnoLmamE+1BtVB~vF5)PsONZs7_X zKA_X7pw10mqOn(p{X<^wKhu65&n}ue%S-c%Yz2d=wuPk z3A~=;D7BC7EQk#tNtOI$^;B2L8R3gk$A6->o*|7YOD2^8i_#O63%jJslA*F_xO`z& ztD{Qqq0{GDud0i6fb@^qk*E%IC>`oZu8AtG1h?&}tM8?HHm9sy*2Qw2qb5o0JY?|Y zb9ihw?`qke8cQ)eam6k=7dk`5>Gg^=e^k#wf!q-KW-S*+s5d3`bl=dLusHq+4mvtp z0stXNeV$!G*ZT4hUQ z0&r!{bcF&kG?mI|g@&O~nfJuR#lp{asWqhGmDv%MMKOaJ+9%eUxu%#Gqp^)p-EUZo5fnZP>s?}3U^v<8#N)b} z78jp-X}AgKex~bx4&pWF!3Q|~7QYFpW?>zrj zZ|1)7UW_l8goB~kHL;li@qI5nUE;Eg? zwBIffS0GU~7i$hLTnSRK6s`Vws6qQ|IAweFTXvt!OD~(eoXdhV5WSIea;m(PKEITt z^<5F9GASeBynIzPn}J|5>=`dbh&PK&A^kZee4eQ(bu7lcCG89F;v&YMC8ikRI&~$V z(~vRkQNU7Cpa+T+-1QG)l=c;;YFq|E?Gf;qe3wH@@5W6ah(y_es|1Y(xo6uHJ-|(_ zHwiiBBq;{GqLLJtl9b}0vZA9W1jz`|jve?)P;_~^I2k?mg;Vl^6gLHLK@cb@qk&c{ z#g#Z%$9ZC`L$oLKdr85}8;!Ll$Hcd(b9Lf*%0k*YMNByJMys$nbhTnjP0X1WYq9~y zvZz)!ZVE{Oe3UFHnt9=TR)H_5`A?2dGXF^WXN? zBS^7?aoLQLROl;=CC5Bt3q+2Q#y8pDyqB(fmjq1Sj))MZAlnLSfwIo%5%13N>5+i+ zbH30bVJ(fBX3EjekXB-6v=bN9?lxOz$4nWP{D7O#12JNpfc!-rue0W%ef+ky=;okJ zRR&`JY(!QqGgereSA4?>z(3N=;TaIW9zRLb9NW0@VZ1YIhq$!1cSrLRKK!k;iO@*H z4+@&TLw4HdlfVUf7I(3;f1-o25OTk75s?Ix4ElQwgnfa}n7L_0HbBv2HZTy$3b$O= z_~iHd$WG;vWJ}EuVwdD$;Jj|FN?Uq)Ou7{>c!mAan2&DzH$n{p_jJ?6T;; zo3}C6?Jj$*3&Pd5hEfLL=Du**E_LI*VAK&V6bo!~S+yO4U+Je6z#MCiJpU~FKm6+3 zXo5`VIM4IlMQte3szHKtJx=To_*|!hofSb2leKUQ-8`)gk!peRDV0y{Fb#y6Tu8-h zjud@bk?SMFKCtK5#s1*ufWtP5p3?ptc@q6 zSiQ=?sIy;h=yiKl*nL2o`XO^i8XZE)$%sX%6mC};76TeRr67h}uQaY5+oOB@%X(3z=rKU zf#>NMH={gE$2tdC-Zoe9mUh3=sZ=s_{k-vcy)HB?37zBE8%HXz9`m!ZIz6%4KRkX^ z<_~7e11-XRs`{4B2igJ{VC`y5qkpCEf4je8>^BEw1l%;YwjfXe*p3OtEyPGSh_|a0 zcwJL5Jh%iwyLXOXGU=pU?THVZ*uv#qzqU;HNg&kKb0WCqGBU`N1B!nqFR;_;&e zGt|){S`_?T+N0FE;f!HVi=~m6iICyP@3ctG+hy>BG4Q5t0@>Zvg!)xxj_!pLNe^r5 zdVGPYlDNsR%a%xk%Sz+np@(q#zRG}nvZi*G$Qw4BK0JtbvXSh>Izuo3wZj|@LBPaS zP|CsbXfaIbs$tbKgVn(}KPjpEF+H-#n}xM{{AY7IF|uZm#eBn(8i$&t0Rb184jrg@ zX`3DOj^vA@m5i5o_P_LY+I6CJ#F0N44TR)4omR9$B8QOJKFsrNfxu7+Ku`&SJL<%+ zyuc1kM^TAHm0eYjcwHTqJS5Q|0HWRspQ|C9gC|Vk5?9BGocHvx#hDic!X{|1s;hhZ zXnozPR4SR)u8JC;|p6)ocL#G>gqX*Wnm3@QEg5?7?irlEzh1 zCz{7kO2#Wx9XcDR5~(X?HLt8bx4v#Tt3d`xLFOot9%ztu9b;aq-$Wu-`}Y8VUas*b zF-#)pCz`gj_W3<)pX+Mbqk)Dxo9O5Bej7?-S5Et|lbuM` zkRUxQy8NCRf*po-NPS3}i`45AL3{b6i#}vy{`r0iHr0aU)wbFsHXtF?JojX;)D!;a z-yZG^CkCHOQ*yJr?P)41uvU=bO%})GljA~tV%;z>E61GgIWJ81K7>usX%pOmKh(R6 zyu-pR=6=_Z>SksVf|vDt+;I80e=fKM^%foryxkkKfLI_)D50 zd)}dWwcVZ$3ho7;v^IFRnXL+P`fg;pUeH~L)3o_tZFr*>58F#DfJm=88b|8mD z&<5@#R~7a^KPC$&=X!8n_0V7R;uN^3q1P*MZ2k3;ED5-Rgd`ldn#k6Bq6HE?iri5h zQR^~-o(*k6L;1MT9kb_kJE&@ln${6;TgvK?OYA(SqRnF3YY~m~M1{dnq3Q~~KDxVp zjI$9nuXyEAMf607_qeYWeP{8)m*`?>D;y0J_{Cas-N+w`Da#fRUVJ@kN#OSQDl6KZi?G0bj$7GzUeKrOTRS6-4zOFMyf;=}SKF@1 z=+v$(Cg7Q8_7dr|>=KwGxFyFO9j(TVy(PT_cQmUDrDi$+vmZ&d!)ZSpnQa+u108HP zGW*&}VYaVeXY;G1(hWJJ0c<4m^D<-vfIWn>_)m)L!{8wAeN7vhwNu9_O53cU9fp=p zO~VFXopIYq<7Y#UZT2{R>kH34v%cr|tvM9?6I@)(;66Mx;|7i9$m{)3qXlyM^bheb zTA9y_rn7E-_RWv1zxmx?`^z8vy}$Y9KfJZ^UeMyPx6Ct%Q5-FZC+gW2I~-|ro~<+M z=5K!UAO2t8{lQ=TkN@;9fACv>_3`k`9E%2g0SXu6tHmuMAYw3V2^Rn7Ke%mUHPP(&WhDbcXeO0ww z_X<*3Q|#tQ6IDtFe>kJDTW9NiCBg%H`Kl`E^|i7EKj15w-~QznFZRd|he=le7DfHR z)PGD}gm4uOod-1Tu`Uoag>}Sjf~;8Mj79 zBgCRcwATYU0O38PQsQ!rUc*w-iE!v4C-!R=qWyNv?OaqgJZwe^?;tTmxG7&HX9#p> zZiE_nDCQ@5iG6n3=BMlPYz_7t4AsT6h+Y6kVULj&2FmF($!l75Fc4@KXs7!ch}ZzZ zl!I34&J6pNp&@y`lYmIY<(PNeh|=q*bIgo|@T6p4yG{nNOrHX@2Lzp#Rkdxbk|Rhr z8CiL6oJgNmtTHQywz@G$Q(%u^SqQJ#96@R8?qnfVD_fqeShP+AsWrxem=?vwf+fAj zI&Sj3#FgY+B9aidfwJTEiV-}Q#N;P#$VmaHQ{A1+v!&c`@Lv}v>+CH>pWzvZ2kA_D zLiT$PO~6!7#!x+3?kSf!E}(Mt7vGHJHb9#gZPOiO zB%msB6MAsT_#)k!Hn;aII_S-jztEpRTo6WcQgD$ln>e?o$!SHkyakHU`0O?3DeuP6 zOwR@Pi04RG88Vf=+hy%yvtzogaj&0x3$bX#z#F7{;2!bto|MI&)Wv;k$>?M8L&xc0 z&X&c6RU@9$VI6xuXhu9F8Xa(nX(1{E9dD@L3@%~pPUj0+2~_(p3v_1SobX8pe*oB; zb>HBIcnj_A@{5MxOI&hbx>=gBroC{6Bo-KSi!!%p-2rj=$pZ#c-Cw{B%h!u%pecyx zfVt-&t^I|U>}&@QZ3F+_XjL%#-+uYI^ig#_2MOl$$)tRDP!LDlKPvx7@kuR@CsO<@ zrYF1s<#V^J_I&r*l=%*5Ad_b}d;Bc9rKf~RK+i2`q%+^sEeJHd(a}nwxWwV5>XTcW z*C8#S0cB6xuoKAP4M)s3!bNkf73_L+W7Ud4w<0kKc7#^Txzr9HxG_CzW{!b4T^I;z ztmr~VFc;_)4kVtr9Ci`S{BUr?IyUskKIXKvlEC0Z8V^GNeSF6O7VEMCy3fs(kpWQ7 zB%vd9B1bhKp83(x0N3u?Y=fFplUnGkqhRBjE&^}T#0YT7dA&Y0RoP(y>akA|+$Pm0 zGd~`x_c`y9L5i@}K|CfociyEL2+!J(P9902lV*#7i7Iw!FLP5>b28MdbHa>Dqf3S9)MJ{NADuhNhOfLZV)AZiv28xOsV27TL6rGh2Na|a@sw$nMIbfe9j z&puVRKh*6T$$Wb4B^O`$_|ha?SbA5dAPGGnUZ_S4dmbHnCPyA;h@{???w@sa^ubdr zAdMVHRqxJ%VcYZK9^{kr7=4p(>`iYxPMWh8!SO>b$9q-a>?@m`A&CpY6vQ9)Ar58ve{)6XdocFQ+oW70Ne-#(waSFCS^Cz+MLuPp& z#qSE{Ac7puPzi?=bw@!9ny7*TN+^EV;cty4*nc2_sl(srsD-X%nL|TWc!$m;dpzO) zNaOic@O^j4Kn6x|)7tD>`FgKEjc*Wey+DE;Bm{7yz(tc4%e?mmbF8rbkYUb_2mnCP z(Xl{c6`~W<84{5XnF{Z_FPdz-$-wZL;fjQ}N!~2$%p!B>L=#eD&nWtP6fM-Vxb0eI z-!5S7?dH(Vn;Kwy`)y{|h}GDEi8h6G1_g2ml778I{(UxXPPT^>OMl5634O5FRCHj94rhrXX?@#{ zl5W&@G(2&N68PdVO8P7|@+IMFJ;4FUt*E*|aH@fXV>y zLXKF-{(E7c$E!0DXm&N4A*-b?LYqe~b&!Lw26`D+oDHjF_`Yrwz>&hy8i#sI=Lm@~ zrM+jg8DR z=EC)7|H&^XELOG{`zY#u!yL>&fSDMiYs_9q$E3-XYUN~JAQMW5Dl4 zeMzlF&{4$D*GDTzg$g8b+z5auz3(&V%P5S5MRlB4CzKF9)rWoW0})KSaGk!$psfKz zyp?eCBZ%Z#t*47dF$kjw z3A~0s_lX8F4g}JN-Pj2j>Q|Rao?ae3ScR9wc$W=-ZrB$zkq1cQOxe-(7@CWlG%Us6_tUYZaa{n0%r~FPQwesdxs>9BTaY& zIGOe-B(yBSSOeMrqSP4(cI#Jq{mfM6Fcc1ABmE1mLVL zb2vL_e>>^Y@rb3DOt~HD0ye3@ zG3OO7mZ%eaf@>L!*l?0Vs)B-i4>g_v@~j?6a0X6~yTrplkh~mZg$JDSdJqC7glxzQ zWAG1X$N@Xn7HyaB7bi<)m2jR9;B)KyTq1mLNIS5;P93Em2zb1;HFl9wrq5X)GtNJ(JMbf-aQ_i9T0-bUq5fp_wdW*W8UVPpmjM{S=`$XwM}TncpWz6l zNj*sr&>QI{_IyM0P#?2NO>XSDu?zIpWj3ev+bo8!!qkc58NDyttj^^-Qj_lwU|w;f zG^YK^0~*-|fC(&h_&Q8TuB>h@`ZK%xPLJ6?tMEEm9-5 z#RSmO563`}<7X#Wk-bQ-&pO;$Ylfy6i=1Fjj-S0EGGOGSO*Nl46KNAzO#PSucgA<= zyOv6uT3frtKEwM5#7v-fysPDdT#R|{aJ%_*4aS392U*Z}&bwBhXjzdO2U0a!_=RLNx0a8!(q0WOO5qz&EAB2(Sm}vbetnPfN9d zHt)}lHDV36dA_F+AX~EKwgRLylq#7$PEuse)_PphS4sbVn4AYB;y zE^P+153>8%nbBF~;!bT*%`G~~X<(!G=m>OGwWKAVSL)B`eT`G_2!XJSL4e6#i{3*x z4Tk8|)%H@+H67pfLvc7LOkbH3=_j~!*ZWG6k|yq?VjwzO;0E6g_AtsOWKjfw;ncDN}n z%dX5+aQ`66Gek+WWKM0F1J0orkBl+HDLWBRZIbnPpt>0vk`vtqMU3qZ}OKwFO|NZwk~rGRa*+1*rO-q$lQ9hUu++ zs1dl-C^8=3BPG+2FjT5V^h7tnqzV-M4mg1TNoE#3qwA4oyTGm+7<6K$%LxO6;Kp^* zBsC>{1!yPiA@3D(jfTW8?~0T(Y}g-m*fim7;^YB%oeo7=wfe7~%!2g!9i0R3Sr6H% z;J~_hXDv6`TvOYPZ)8;DAiKxFRSy*Z6)nAicYupE&JM!#hzXg zIykhrKr!^v4%f}GG0wYXcA#<8cbhsLTKut7x&4*-y6QM&UP}&p$rVx@B)6(!{L~H+ zXojJq*sRAbywcwP@|}JaypcS&S!}ARoG|6WFxsEU%qq4FP+*t&oJM$WH>WyVbPb&L z=w%MJ$b1Q4yT)#&(5TBC&7&#yeOvTRexDAj$#XCq5Mjv)9_wt65+PLu;07oaYb^e0 zpEaLbdFsyR7Qm-X~@r>RTtnNaFpSi_P-idBAqmQB<1rdinnxHjQs$!|8z!U znK%8prcXao%r><7D0)sFY&MRyACUMJDBe6wz6&x9p6yh+TChFhX7UM4UOKlc*Ft_~u`cVwj(X3s^<&DZTTDrc@mnxO6lfvU0-! z9=&(cy6H#MAHv?C>QMUxOGLF5JAR2e1u8ddSjwqDVS8V3zF@qUn@SqW3WS zw@-J1hf|UsWQKBj5pxO89O`He^rrOkb<^K8OP(PX)&TQkj^>E=*;ko4JwTtN)BGi! zObQzMeI_r+78`o!+P1ke3$Ct8hvpPW|5-mVP_FI>Hqd+EEb&+|V!-uke6EI!pMsr7 zxUjxj1)}G_KouTWA^m7zZ|twvktT0Z1y76I8}PIs*R-yhO;xtfcz0GD>?NrYFF{j? z$SQh)Xp1^*zz^-x%sIXH@O?}9AuqSW(XH5#>P$v-eWaOtqMwd_W5|fa(u3CuDo|B4 z7pq8h4K;#?iycx!M%}D|f3~MVSYGeuvdA9L$$bu@AnKqO+hpHwG9G0BEp0FNFd3>p zVWlkAIOg`F25d6?Y#7Zx7h%DP$yU3Z-IBcJcHBf;+Gsd z*J}Px2I#;CeA(CZbN!aB;b>-r+UFLoM@vpxHpUw_qYziXZyq8||woUPkX~_YN$A>>D6Nn9^UH)*Onx9cWv$wqEQ1GrQCNjSjOog+5 zAZ_^Uc*9u+dAfGjdui1<7}1gNGp}fQAF~py>|~IAv03pH;0IC^K`=I+ldRtHc5vPj z_od2+<)pOi6;dc+TH1S%%)V_a#J|wy`%}K59q#pHX&^EYu`&I^IB$+4E8(rW{~s#| z;YQH~E`%CM0|*~EE0`1JVr|TVq+DN{QkmR%k=WUP~edvG`HY)vrQ4wv?cWw#Ot;tI}^j)jk+^avWBIKvd zN<37ep00LL5Ko@{+kflD3jnt7tHDKKPhAx3hHz=RT4+Zy!phCFE0$n^pVxpv0fdDP zFHe$Lox=v2Jfo6V$FjU}K}2OUo`kAp(}4yWhSTL5hVQxKLuv2gmqa!d25u8wGDVM|!E-ZuXAQp2Fn2<3~e#&HBU|29#7VFY29q zaIwdcJ%_i9O{*GMa(#j_hyU&Pre{(l#%0(_pgNBElI-{;n1RKGcc0f6+NB1n|5l#8 zD8>JR1r6vHv*4vi9nRVAMH)~oTriAU#M*;A;n>s%toa-cy$Z;@-6PXNuHFJ~NTyv<5*9_na1zgjlI;fAQ zB|V!CD{iASNJ2e^V9Z{cGbsm`f3?^i*nK^Wpl6r)2`^|>Gt|YjItFqAm`RzB8@i}Z z4X*Gc4*slM2vpfU@)y(rJ+I)ZGxG4KB_exK!Put{^b79Do=w}+mC=ahegyB3dP0hE zwn@wRaJWk^7H1_BOc9+p^vu^tyX3s%IlMO_Ks<#P-!eC~59Nu!va))8D)YY5s+`V( zJK63Wg!L~aZ>R61Yac5_HmIHB`Ve_80&LM&-K##<2=@aUzAkJ*194W8cFJNmFLU^X zMR((Iqn&!kYf1HeTFeJ*J?PHrgPwkQmw0bFR8@K9MH;?W$H1AKv!ei+3`^XT$!nos zrqS|#;@zD-<)}@6D)Y)&asHre(^Ik2{mesV^4=^L$OvWa<*i2XMOgrQ)^Gh{K?kSV z$jSTbf&98GR@v*JZ2?d%TXlrcnu5c0T32FgL}#gqPN5?-%;|%vieffiaxhC^LBc{j z+hLits#0)LYOG5bp-(J|;d`|x1_9Ga@oBBU=J#auUYB{XxV{j4phncRRiTb?Ps*e(oUl66L7-bsxh_thG97OH)r7nd4mk29HCxgg|ppzH{ zQ(f>vU~V549Z;1~>>A0TVr(NX4I?v_+UX0O zMSIJLxCn_(QX`Doi?7ymMBV_v(vrY)eKU+&w+(1AxJ|`n`cf=vDy0Yty);O?Q53cF z^bj)Vkjvfjqfsoit6Mp~84pqk+zt|5lByiVQwLA9RYjN65k>`5Zxl}LULQ&oq3@+p zIF6=Ho}TL<(5*yeW<+)P)T&eyfoA$%;4rk0y6|8C0vbHI(xOLIegYVFfWJGR7xe#~ z9UcqX&yK}xhcKwZ+R{5(Y&o;f9abu*_&6e2? z*udpBB`Hg1je=trVBE}4z^9 zxXh(v;_Ha;RR1_sKmY?;06nvK(5Bk}PgYMwQj5n~e6v6N%8M7YK~f1u-=jmQTV;#3 z1M}Igq6KcRN~HM+@Q-yvdK4Mc?Ws3fYv427h=ojI!MxKbEB)49b!0joYVgH39Cny; z;$-TJ9kZsl2>CTT>xS*wRasRv?#r>tf+!IBtRu+az2nrjSf@hS z{iH}v77lI&FqU zgNUkj(_xL?)6r$MbEbmZtnJN-bYo^0cUj~@No2pePlpj>1N6;;Cdmp7+V_FAzRwfk4y&pzb9%F= z2%i9)h%e=0JAY+mOJvC)6w0M-gX$6MZwC`CV|+v%p@i700Lo%l1DknWbMhJoZ+W!C zT@RwV5Pr2&3;jo0S>ik zfK1pn9L+{&F$a~wJX?SyWC8bU$RHO}0kLLe^$hN`MAO(ZhSaLA$cmIO zuWZG@$5Axqf_2YJ$2LbCaol2qM+y{Dj*S%)J88(Jq2wVxWt*4H8HKM=zjIka zN@o$Nl(;NrPwiC>;3ymfxHd9EBR^3TWX%0W3k)DSSGng*MqAIu+6}>)#scQJ*Z|lV zwBd6$US~9kic!~;@q1r=@j?UCfytI+R4YI=wsgqSXY_~8RK5qFh5fEI{R|Hs>U@<$ z5gb1^{g{-cFtU3L(oNP@C!B*o<8%EmN@Bbkck#QVxB4Mo64FcVf_G62cGbLVIy#NF zbc%u@juxUzhcT&NfqUmsp)iVKhxFIbyK~+Zj>S!OqFO9E#A(Y1@LCimZsfBh zJk^5UqygBxBNRzdgrts(fC?`TQ=bkwdL~4}VlVc{K%zgnFElh;Dv%3?>NZ0e&-ZZzsq!8 zp#xT0U&f9`{=6KZ;m88_!Wh}OcOlvtxinE^`2^ve6LZPbZa)1MuZIrlP7w`R0Csjn zKHtR-mV+PoL5OUuJD+Pyk(z|nM=$;!1NbE#W=2?wb11&_$KDjvFBVMlaYdt^i>WS-GdcLJVkH=rfL10*Gb3nc@r z_&ANDgonl9IiU9pTmdvCPV%l`bi;f{Q?q$)`!RFh1QD4@UP7-0QYdN3&Sxmm4@SRfs%C%oA2Vy~VUTXe@oM47UPCWk8Nhg2)LRq^03y z@w_OZ;rFn%sAB-wo&>4W9(Tc4X1K1DFC!T+uoUoDR$IFqILia@g36w-YKhIK!~N)c zlC6$49-DHLUT#Y!Dlj}As+!qvdRZ${8K_0Q?gwFEq!Q)<5~c&eLoI31*%^q8*6`D` z96z9B!M+hr)c39SwSD9WT-vzkMTm^Z`Cbxfx1`xVuTkt!qh&|$rk4(~(q0x-)#k4= zj>#O4RwimMx2W`RaqOpbT>5FO#q_uhaG;^}BI%i9ub}hjT}&KrHn_F)ctHS7K(fD> zm3?hzZ%<{eI06tlp07Eth@;feI_t)&i~Fo3rS{f7O2#X#DOytN}vBc8m^4?-qrH z%qbOnj=%?m9gF?Z`@TUukpbFgNA~XtXifST@6LnK4DG+^kYQ0#TY$%MOIk_WW!B=f zz)iM9Gt&a=MQ*H(#jHW#rYe@e5d}Q?#W;4-5$GjZf|_xYfyRoycz{*7FL0Z;%a&AW zm*p1V;5M16Yq$|cFj}8t%)}GWa6ZhyxgbBiJC`}k<`p(75;o5az8*mu2ojz}J%sF$gRr_G8ZNmTzpFndgPU47V`Fli0O1;l!^-R$!gapBqP*N7$O zXlBk}(9$^g?G@l;`IbHJ7vOpW{g+n7122g;x77`mj$c7d#cx`2gLMQH+srY(=DJoo>Ns_(IVza)-|n24PZKhd44!_ zRM)G+-cq3ZXVnNgCxXfKXl=V47;_cFI}H<5rxxrTR4I+sAaa)%XgZy@Orfz})*{bm zdBY3ZzdF21^is)a^exgS0Iu|mp-%)5LbsIUNfU>LE`S&aj-UL*gG@)4rP7JCow}gc zmEIt%6n=X+@5Tl``aFC5qgPiK^z&a4SMuT!&W$AXVO&A|LLWkfzR4Txev-*E!;C=Na9MRk}dGG0SIHYUELEtr3Y2|v`H(w_c*?%wTJmh`$0JESB= zspQT7KoJEF_r_?p>V7$hlDFh7K#;cp3Gj7Sb$9Kq?&_&a_v!sa-7F~xWy`Q*CzOFu zjBGIh1yYnKT9#ULtWowxWkZ~_o}DUgUjPrcyVm3@ z7qUp&8X7u=Mig%7(44(N{2s@^uW1)Z`vepjliw0S`ZR-2mWExnNprIP zYH5=;^894Wcw*p6n5-2VIfS$B7N9+C7Dz=+%PnvQrkNdSaohn}J=<=$Uef3TNAKm} zqSL*GJcYYA+Nhe8$WwK z1@j!qs5a$xtMYU_TrpJZ(TV4&;rhS4)8$vbUu2mCt&Q1?I?D4Y1-Qp|H-V7G(>Thg z_f1vc2Bc=<6lz=ui+ zca(Ks^O-QBz!YviF~wfH zbs8B#e5t^JuP&_ziuSSHsy?E-A9&vrT)DYc6hxj7#{=9%-Ir!t<)D#Kw;H%GS90q& zYPevez&8GUzI$)v`9~wDgCA3)cN%_QWtoxH2Yv-Az-0|o^??YzOJ~*X z4lNPf#pceS)kO!=?b@1l$d5W(&BbXn&^dNl%Dw8IpOqP4B*l|i@5a=No#ZvfzH=$p zRi%I>3rE{UNjt+DZn+D*)~fc+g$!o}nq362W$QJE( zU1IJ?1Ln3S4IA&2cZLKFWfaTKiv|~_pOn>rry{=S?w7A`~ z()|km$*U+GkQs=Q=B$F}P0h8S@D&a*8|~ zqI_emv5?c;1g3)~YabrKTn++~Gd4m8Y9%O6ym7(2p?!LHTZLl*n*_*p ziY(jGi4@Z=9VJmV1w@tx&}HseMRch`RVA&pN1TN6AAWrHb6hZ<2sr?yWU->8hleWSriK5n8*?Va6?jZKTNJ6mU(z1AK^i zPk%T!CWC_0F`>?Cxk~J6Kzq_-MSb7kbvn8(@ULEtX~%hR^Gmp;2_Fowb=0H zZT;{EV4(tA{Z_Sm1!E-Jjtq>mit*HURQl#zWgJ?W9aN3G*P3bvtR%|;W<8Lt%d{j5 zqxJltin68sinT-(+ODMLIsrS&u>-@`?Cb}yLD6}a7LL|jX4TuT?-+Xt;7pzoSir~M zA*AI1Lt{Tj>>3-)-^cujgh^ujABd->fv%{LS9twu`pr(EaBjchSf&QS3tc)6Rp5{- zMA|M>O*Uxl+J?5+SO94n=VhKY&x4N|?hr>paw*o$6vw<;BfiQelL+iMavi}^e^gv{ zcFZ=nz$-W%Ht4tI0ejFeaz>tRkSyqkhP9bW_r94Pr$sKFEc1ovGX?kHCp9ZLt%2u) z#A!hSX2&%9$Fsf=dnRj_-$SQ5egm#bZL=)(d%HD0E7O8ot$3eH(+IAsy36HSwz@{u z;ueeAl#U|2a`Y$0y;))z01bw}hD|%Q9X>K8qauPBZ<>z80e#{FmhbVw#0Sc*66AKe8i1Xx`u-|F+jXYb0ND zJ&N)ryl>~q-_QtTRxdy(WM*09{5uZKtpG2=@sa->l{^}GlGE-0;55}oljaRO ze?6hecLFESnmpFz^_nEuf+krY|A;E*$wGy8N0uV0{9aYa(Kyun%MIelxPng=%S#wu z)E;z!ci;?PSMi9)c53(bTUGYZ0|3!lwOV1v(X~6xxPX&%1|?yqB#@{nT(q(eme46) z)8Tl5FF2=KN7U&^*lm8?(7{y&cHAlOSwUh|>Rf9l^!kutpl}`BTMO4d;KESy076x; zy+lg~Vm9_fT(Qp`xQnC_<_g>(0En$C+(E3s5d|@K$vA)SO8y>$0=vTe!{TE^Cr6;L z7j3qwicGpSc&b~moCwxxr_P%JMA4qJY&sKhpVAe0w4>5~&!WqpfiNL53e~7zV!U>s zxi*|ww2dL6WKbbO`t7$6BHbI^69dcleXTGNg`>#x+M+A&bvY8H2CB>#%p5)@aKVceO^8S;T0n%HyUAm>T$d-@ ztZ8jkiHtPM3Z3KpIMRr*T7@%G;p>>0YDqcsjO)!cxV95|8tqkUa4$4W8ppj*!3&Y7 za72YS!#{I?RC`YQGF-rvk+>7UhkK;Nzcg&xgxCF4bE(9OeZZ~QBPGEF5?hCQrcuhS zXbBxUFo_nuHqaR;Uw1*Dwx-@Hi#mUa8QY#?aWF}zE$X!C0=@n20R!UM5f%nvV(}Av zrz!38#=h@5iKBJtRcmZ}jy;*08HDFaZ9x=iZ8AlB&dicsaeQvT@ZG$i z)x6NBKJY~2Z~pZ7046TV<_Zw7JBz)vYfVaHsbbN7*k%YVHxGq+P^5H)eOALk=U(7& zWIzO8emZONh3grpBvrQNOZSli8szZsk7A1{%n~4N(Wd!;s~f()y#YzMW`)nXYlT>Pu40dmpBGV3@QoHfM=!81@1UP^*5RDZ12;j|k zyLz0$Mv6c*1U^D^7*_OXrgW^>=gWM0?~MCvnk;&E-_up#=f*Z|_1VrzlN>jDulI)Zr8ZULHt*1T9# z_awsTBu^Mlz-1Fi?IgAl341#4C75-Tziuxd*5U_JlgP!x-7i?psg!7Z+=bC1;P@P+ z<7=IXq~dca8#7Q=_F%B@8*?fUAih-?ZK+R-a)sMKAEVVr?*n7rpuNB-V_tn!p@)g% z+me>mQLl31Bd*eL|EW@R4301C1~c#2PB@goNb^0{9fucHv=3xaItGcgdx^0G%p@4V zcv^z*2tw2Os=B)@VSqFQoYR!Y$!L1=;k}NFRd`$rCdk;i*Y)lYA_Yir(n<69s(Sl9 z0pIVQfhb8BTD}2b^Lw?W(;fYJd;j(yR2cO;hI{l7G!+?ulOYA)Oy7PJj8W!-OoO_$ zVXS2`1301qQ=R6X5FX};t6z~-)w4oTGKNqOktJAK@6C0YW=pGvcQ!o#k%X2=+8-m9 zi_u=rW=-3c>`;;gjX8!WDf2QKU>;j!`+K#^d9Pn>vz`VGiGcKL{Ps`l)8Q3Dh(gdF z1i!Poaz=E_KB|s)C_5}>)DU&gI7lZ8p`HU6Cc+#TZq{U=LFOBETo-q2>?>geGkphu z3UCx=#Ow*qRM#Q9hj(3xUc#8aagtkH#4*x5pW~yM!gZBDJQR5*1>_T@6Fy!*-(!7o zD6npkk<9ef?Sa97a6mo@$zc3Mg_p-83>YWIDDj>+0D45pjL#-a3r@D3B1N0EvZySx8`7= z6FWptlf5Q#bwT>#NATw<+(yU*OGkz%@SS> z{IQm|)B^%IWdXWDINvQM`88B$&4#+4`Q8r9Sit8CVA1ZeH7)pFU;n{as6YSeR?)f# zPDtyc?|k&_kALl>Kl$j}=EuME(GNcQC-mPxreAIZtreGbuO;nSfg~4j20r}9`@h$? z&EJ$LcMrEsn+3@S&LvyQXE|i_ee>gAq)h%qGWz(hTMS9C&MZH+;rz0wEnG^MY58WZ za9w4)@>sI2kG}iyS3dfqkN%X@{J}>*n3fl=3va(wxH#WaoBj!v@%xkm8N{d=!@zs8bhw8%7g@QkRBDlp zew)hoeUmKUkI*lu_D6p>RF#fOPb$m*{MXt&+x?$XcYcjK<_ELZdb(R7ZI+eVuof+C zqT#7xzj|#5J!A-FzUb(Py5-r%+uvtvvLW;`S>qqEUH~p-nn8wMpd;cQ=-P1I7=1QrN66vMSH3e2q%yB8n&+VF`yYR0TJ3{c*0kRp4e}ti z$2C4w2*PR*eP8cL+nyF)*a_+5cKtKbIk6OMEuN_7pqE!dPj?4)*myUtXxPzIL+XA> zhOdbkm<{?5WU84>Y;V85thZ%d(}`fEisNYd4D9KYJZ;&U&R%5qY(u|Dy8no$vaijo zhz^%e7Q3NE5Dpg0+~U;@0f{)vVSmr!6$fHF*9pbsDpJ{ZgvOS4F~2D1Skn#5yK6FKld(@{9DiVj9+?^Bu#$B zs1}Ax$8S*-i=sq6%lkEd6mn<&n6}Mw!-QH6n5-NyNZYIct`8kNA%E_UZTdIX!5=|W z4R;U^fpK8JB1OioY|6E~;gS|OA!7@}ziJ=JM?N~tl;tA|$O=0SEoqfb%RBvw05j~H zgT#tsD>43N7fwMZyfv=RI-G*xDSE<3%?Chp1#jgELQptRAKD%~ovuK0ZLE`qKcZ3u z0NJ__8si8mtApI~oG=It&%Q{0fzYPpJ8iFf~LeE1j zCQ`_wga6y~t>h+tXyYVwk#-DbHBKM+Aq|kr^cRSAL$gvlxt`%oct5)W&4K5r?KB1z zwXYi(@k|Ppf6ONloiE6WZXA0KPGXnB9l+P7Z!fA7BXrFYqtgcnE~U$bxY027jOmF? zQePlYc6l(xDlTEYD^fF%u93Cap?7ii6PY>6T4ympav~$1AMiXYA)yW_va=K$vHa9b z(TKFv#&zG-f!H+wo^Naim`_u&cs3HpMY6$|7EjYBBYPZ1txqR!4`;xOv=_s6GxT;6 z0Q73i5Zl#b-cX~Q!X(7i_DpKrP^f|@7VLRqPt(NlY@Cd=BT(7!Bp65%V_uj-zIOUi z120UBaGX52Hl{{1L(JFhlN`cJYw9eJA-)m^)76tjLN7DX0rj%$`I0g9x~=HvEVt&4o<>E zy}L>*s}(kXKp z8~4`gEAUX7X>Kk{Fl^d^YkUpS-0UrGF%xFhg2G8$#yL*z=K)ZjS0FY79#qvXfQSqa z=^PUsouyYmi4w1sdc>~0L3eknYz$h<@ zI!YKD92|8n!8L^I!YbvsS2~VxXf)OTeKR!Kh-lqrA7$|shTCy@rrm%BpaSjd?gSU> z&Y#>dw)rkMtGEAczTLk49;ivKG`5>`j^}WWsNP$YnWmrx}MVtxAap291fjVx4rT8AQ-91#@wTAH1}&<63oFAIKPYZP1xH@WNa99tmZ*5Dv(V{A~6%+;Gl{{ zwyD&RB1|YntPRP~^a{(gJW=)TfeWyx)MCR?FXe%|a#_%%_y#B<@0*DTlG*b(tjT=# zDXqfm_B>?a_2!Wnb<-krh2zISHG0JT0{vjHTn4+?s`8A1bW~|cwe1qQ!C;rv zvt(WkO1xEwR@V&8i)zO~3nQ#Wi@iYw(yalc8%_Hln(Z2sj?at=gqP8RtnA6U`<7ZR zIkK0DNlS(Y04rKL)Y=D<@T%UZRRcRmw9Bd}ms<{r;R247IL5ch3_tnmKltQtepPS= z{_@xUyTACA?;(mDVUwSH>l=UhpZ^j-iVzz0qp$qKAN}&Ln)0|L1Zbc9{`Y?LcmD<% zLh;w!)L=IuY)TR;At z-=mKl1=hu6t*J~!X8ri@{P8Eh`(64Y&3v>GpbsgXi8pvx|I6R~C!c)v@6tECbN{E` z!ZV5%qhjr|?l~UNbJ?4Gk)x2tCx8Dpk?r<>{7ov+xBrl{RZyqerrps2V{xu`)cXJO z```MDzx~JbXW3(NHhbhrpE#$Ki2_J_r4F=cNGKM7AvT!_CEe#8O`pbJ{>JYk*Y(@q z+gqP}=R3%?-_q!e>jw0UpM3kbB-=Cnc`Y^88GrI$pt9_euPe(U`;4;!EzwcwO8)q_ ze+}6^Y>?lNzXp9B{$m$YrkG}ojGS6na_n1}yZ7&ZXObUNQfF^yU*0upl^x5X)xV_q zk*7xE$6xy$q@uwt=o4i<&450KWW(=PPQ5I zG*v3inTST3wr=;vKl_mb5DAV>S^^KD9eS}iWA6Z4&Z}O}=<4|Z z7#c~%BPltEtuvfA`+C?;>{}9oAri?*g8cx&gni(*>8_;`YF z@6&pLGgzAS?w6h)+KDAz0a_>=gyhO$OD4-MHJy*O2Q)7$91BG=A-l8TPQ(isLYUu? zwM@)l0}$ar_F&r7+zM{wijdO@CB4vf>*3}Od|Sl&0b}=K9PI&&VNiz+mJqmcC^(tD z%rGeBG%5Z%WnVm!ux%@z$n+zVs}xzx)ZEtxIAlWK)(dzRBH#H-&qDm?x$GX&r(;Rqx+F)k?u9epn<3Y4FfN46aVF#FA;v>|{hBH|oF~r;Q zRB!Xqh_k7sHGgR*I3B9fuOn0N0MzWd+9}BCCImOOQtUz%9AUhvF=#Qks>NEY8{afZ z3}Vu;J?v{=JJ)vM%I1v)X;U=_MjT8ts~rTL0OvYSVj>Jn<4>!j|DwG7U(N@+;l4V1VTHr zr8;KI<>rD~m%;JiN$@@f5T`D`OxvC6GGP)A2^mu-#lig|RX{e0y|GK1Rt|M4KtVF9 zVH{Yel>Tr0wV&1)w{Tc(XaT8l4K-yhhPMH*poJ$F7aj;DDe!=k;)49ORD zFs&kmPpl=7yv73Oaj+{OdJ7LT;$O)@Kbo)?4p!j&0UhK%qdoZ{2RqJ!cBZt`uF?UZ ztIyXH4`>0wAx&h$D5wPn&?VfFW%~fnrFErtxE81p&7KzwywmB469M6O#PyeJz$hd% zr8YQ*;U+3anM!tjSyoxLeW^}?^0RC41i|?DC(fQf2jr-8?N6jx0psNyo$O6iy&1dL5&J%(* zn*p7IcX_j^;q6I=aD-3(*`T40(7D0XobHKI@&v)PO!zdVlyJQ?s+@+isXlc(vb+VL zXg;H8eT&abU)}T=1<$DrA5l4|=#6JY>A>d_A&%3!Fezw)5WM;7$6_Id1N1{fhp&Rx zfo)mR##iOWzx`8P9Dli^L%zIp%KPR3(2j?7iQ|_rVcO#X(Xy%=usk21-pUR3x?o~zgIo&g{-+)`}Rq2I}=$Y~q_wAy%N9fSc znZ390wZbI2Ftbwh_=577jYo@#BuD?3#hGN5ro`l5DS3EB%(s z&wZ@{igHowW1j7~%AGR+${mu5nebF<#}K6qF|WO#_vuB}-qm8$0?W*}+OhjuGX>9- zc}JTxro5My4o4-9^?~2i4PDb7F29HCHMJ7MXI;zidXFv;6}%r+^1`ZA_xgW19>(we zGzZak%0TD~{sV44+-ObhGjOyJ3eFQ620C8C^e%kEI}yZFgm{>KOuS6%0icq^17@nw z(!yI}xQGe3D!rps`H&BQlB6J%&_Ge(*c^srB#&yC=P!&g?x+CR3u$d;x@Ja$6Ybye z3w$3QQ_SH-2pc)osFoaP(oE5cYa$$lBR5`JDrr==lb2RSg9eZ0-S0B2lurtACydr~ zjp$L~>n#$FI+P#rUMe2Cqy9*wL)jj#i*F>_00uQHLZ>6<61efBDyY>FoX2!nosL49 z(03;SV3wT5v zO7{)J6Zi2{xLRA&LS3!^BHWa;htzN&INbvhL`MgS6G7VUaoIIl>`mr$FmDFFh7Q7z z2_J45NwHk5tbLY4k`6o@fiPZW3zHGMj%CU?qzvLXL8-wR$h;Bq2D{^u2qPxLux~9N zC#Z6pA%3I6i{%P0;8ogazao=y+9kk^u}rwIWV$y3N;uF%h)P7vXqA>Qnwcu!W_xr* zukOACTiZw-Xsrge5WgoX390hoyo7jK-3l!Zoy|;+Kfw&D)jJpJ$y}uY!Z9HR)CZ%| z()ORU?OHnToS{y-%mJz@-<3R*5oP)w>qR>UeH~`5Noy6!TA5G0&R^Sj# zjb&!(iLA07lS}#&4FLC|(;w~F(2I18&9T!vm#vwW`!6>Wg+*TT<2Vgw5XSe|^%I4N zG)MR(t*+SYpK#5ff1fC;)sFFhfwbRoRCOBTiAGu*tR3KAX*`(xP>GkuiLOceQ-@4C zXeekf(Hn6f`-)E2R7B7lmCHPvY37T$MR~&K-euICs9{>@ZBD0tYQ9BFhFDo-d>nRz z=fFjA&MdjQTM5QM=cYL=PJ%df4zb20nNnNBn{3u*y%wtEtUCrg{7Lz+>jV@n69t(~ zOLM@qittM~7i4QyI?|C$bhzN26zr>XotcQtkELA(2`}f(S zCF$Kiy-6d%wG4mT@(|kaO~<5#W+P{yy_}3h$49t)0dg=*Ox5mL)9m~?_4so{O^Aqk zltjnZHMDY!H7zp0H6j?Cj_dC+V;Qwv0cW^gqvKChVmrbr`SsWAFpNR>3s1M}15%qn z?{w-+R7MET&jHj4x?yv{x*u)%-bHj;E~c~I!)>8Z>G?6U9HgCT8F1>em~2Zmj9iVM zU;uo4g2BXkr6-0Q;&Be}8s^z`OCxzxHW&SnD@9IH|({J||?M`|=?L-1;sDJT?{eP##Uh z*$4(H$C?8ubds9(Z`%g9`DS)(T6q5Kw>C9027;+etK?H=p@5iU1!QArIAA~}HJHd}xq<36lXH5}cj z83$wvl09W0^l90}tx(ui!b3^v;F>dNGSWQz;h&~7+{?Pj+vUS~YaMB-cV zr46OoQhB@vki_ci_Wo)vRdSiQaXb2D460ZSdBk4;&8H>-qdW9EhJYjEX zvqTjXwnP3U1Z23%Ux_MYOhAL1#)o=B-MV2q9*R~)*W8Vlk_r|_a z?i*^<5^WEkRMa24LMuR+PM6F!K5Vl^w&Zy~6W7f>Z*r=#r4fiQL_ibSR)WMkM0=Ke z(4rj$&ZJBZ1+q8z=Kwz`_KbaYTG8$;<%k0OSExk=_fg#PGH3%1w=}E*j|uI7IbuZ# zg0L0iR5L*n^Bz$hY0Ja`8F-rTnd6*^KvA3;WGJ9zKk;J8Ubh*rzUef}C3g`J8d*_f z=;x*_r8sM_Y~N#IJO*B(QtKd2_yD&I>)$au?|_8Owe-5&Z7cE(eMXjD5%{1L`))pP znP~@}W(_)ox+SFlMWMVT3-lOu3GjA6RsQqlxurowMMF2ORnbz{a`-2B;pyNJaf^ah zeP4rh-m1^VF&De0QP<*u#{zhj%LVg{zw=IH8Z?n0CIRueSI8W?TbiDa!M6~Z%ybwo z;EJfs2V5##ArTb?Nl(HW!&4eqpNPC9X*`{px`-1B&bzO+-OoS_yYqV#)Ov4P9FKukvR^edW2{ z34C;D2n8a}4%vvtDAc9AKarPi8_V0Yod-S;tsS@%VNMxsl!~!~@cSsl*t67XX$}y~ z^2B%AoEzYxugDPH1XzHS2={rklLU8{#QZgRL1&#az;2AdQWfp{Gw=zW_8Oo!+Y5ys ze-#0Ki?(4x98cevH<&Qr+-i?RcvsR?@SaJtSB)-9(1}w4@NM7fFg6^s;FZjGe*y~Q zpzjv!bxAg^iz0r0s6gGOTwd39jRf*Kg*Y8zYTMPE83zWs2y_-+ijA7a#Yyd`QQ_&5 zb70F-)h(Rk0LBMs{;Gi{-B7eG!wsD0;CYYP$E!h^)8baI(}k2_D4_?@w&rKh9*_#fDpWfFE{`HC4(!VEM3!@ zp&L^|NNYI4(`q0F8snaa&NPa)?P|-R7+vI`#B1gS_aNdP@gRn%kCW~jLDy!?K+nMi z4PsL0uecAy`fszd;{*{B|I%tfOBCKzG9cCIo+qIU)dH0{O+buvNJEW>fEe0FftGXK z$CNsui>nfy$UN_8J{OnnRatBS7{3QoI$k}Lg$R7d!qptUCu8j(y(=0ZL%^mJ0hbGS z1=u~{saQLgF01mKj*UNzaDTB=c`6y{LIsjq?T<7E=#?6+lE8rH7n?Br#eOa_lKl02re z$MCh)UQ;sj)OmyUmEp%)5)f8O8j}HDJEK^_1*AdiI6-1~HqTlNI=NV2gv(4u%0O2C z9v~x^eECjFy?%=8<_d}Zmn{oA-}4PmkhRHFX+9pNQudi?HXJTQlblDt=R>VT&yE@k zPLsNxo=<6x@FvfOc@W%OXI(Ga=m4S8_l>{zxmT}%=2#XCu_+WN?B|*7tFkEgZ7ru0 zvoZyML_V)*WG;XVDPMNppIE2FRdM{WEvR(s8qf=tQi}hhWwgoOhSNALJN2;=-&GH^slvGGN zw650he|tq6%@P-a*o4=xtr}q`S*?AEfbx<9P$bP)E81()KER?KaS*@u5(dXgq)>tD(~(opS_=wDU9ueMA>AlGFHUajq_L70>ZO=1se&Q`C-5uXt9=4(4mq zkEr$Y-9arI$~<^&V;S9^OY`Rh6oyr5sPIh-)FL{H;)1J^E>66XSt8~e(zN~U44c@mqIt{lA9bstRsA@-3Fj!fu5_iDt&`rZo zSmqqWh6Yxhm2H6+x`BXhP!GW5f?3oQrl^%QY35EZ8rFU7pn6;I`l?CW3eE!_&~Wv> zD;bia*F$wa(g;KF%nNXQQ??7z>U)h-* zbOog0f+4%}E!&tsRO^f3QofZ{Jaf2-@+VvLi#;d%U zd_{9>HvI-p|5<|@uQnTfPlKPP?_59uP+>e(V97}QJAjTxcX7Zld3P9qL2%~*JA9q( z8CtuG31!J;i39#F)7;9Qe}|xn;4Vn4&<*cE7VpM)0Wf?uZ_j>4Mm&^)CahMRI-?N4 zzu}!vKl})v9V%K3nBVNpn{v;rS1eQJc$)!lBArF=Kq6${f$Sutyc5ffqB|Qi(t>i> zjuU%`?5C;aj`jf#rNS?fhk}MZIC)1jG;Se3xdSGYeHYUN>QM;+Q$^yK%{KL7iER3` z{vEBqT$L!GTG*UZ67sQ;W3&ZjO0{%~q`m7AyTsrwrWqK8cOr*-gId$K=@_z7V!bNk z5~ad)O6R6@0Gvkf{hfnMaR*^L$sKN7!n>GJ%V}4!L#VAZHu%_Rql@t25Cu&b`q=jG z=#=RC-W_eUKKF%pie_YrTL-%);rn0^Ud>6+$Ek%e9fAcuKNJaX95N&^LmB0Rts4ib zc?h;j><)B45-EQqCF~?co`O~+7RCfRK@M@B?kn3$7k+I0F$6kXr3c%h0x5wSjOpPq`lHFgE+VB=!vMtwnqzZIF@mH znSgzQ>-NBm(SfieI003~@}jYbC*hqEr-<#Uq((&$acOz+IQ1yd)a8qqf%C%ioG{YK z9i2QFl>5T6ux@cto{i%FT-r;pn`JK*_0&R$N`NU-p%5u^i^pu5sOj{KVN_Pk5R8D? z|8LUi^2QS?B(w_x962DA4V#W8zCEsBG7)ePuI+_G%4iyn!i-gmH z#TLyS^%mDkL!6?WkW?_1igX(YtrdbuNAbkI4Sd0HoIakknI04U+~j#(`aq{obb3w5 zGpRdQ1f*0V(#^Q`luKn?^^l>=`85C%k@465Egj3p3qLjx>;(YMJUU0^6^C$Pk?5)2 z`B#HcqL>YXrVl=qng=@NZuc230>Kj}TpfAcU_oj0_K&7$va7wi_T6(j<4>crYFBM- zZiVW@3CAi<{Nhm83dD3-)6}8>F97GV+8VTaRA-Yp?wpwVG0k@65;zY_aGqy}c2Qu* zBT~Xwm@C$b`$@R`OjXdKzTX$UOkBI7m?!E7Q2-|ffYvBRSr=J6;P5@m{K=vrM888 zCT*o@qjAvzQsztpec(*625s7t*kY)V8!?b;%p7T6j327(0%O$HuTIcG$78 zG`!{*)l4pko~k5u&0zy>cKGS63!oIm;k1ph2$1Zd9-zga72!Z;g(o=GHT$RqI}n;G<4biXjxf_L_z*KRq+ZLqerbVwss`7EJaCf0omF!v;cQmBA{)L`cGF55wY$Tn;xdQx=GB+JYKvM7}qZ%6}8d3?+ONJA9PCyUO+b;ip0#sXlyG6WvO8cw zS}-&kcswre-u!t}s;H{`p~NO22N_ zGOuWC8=92hhtlGf1-DkXO;Qbe*e=DHBI6eA^zyab<{p#0InfoC+e+d&wv zTP+p#w*SQXws|APG=C00Ic8a#_z1`}1lwYFRX0P4P4~{WI0k0}i1(cDD%cgP!bvz| zCuSiiLuoc-jez;k|2|TprwTw7M3k`ngDdkzoib#iT9nwJANzP32P{vuG2HxS=C}hAsM~x0&a4QO6Y) zeq46UvMOsp3HDun(H-xx1-u}W&B3DoF0;5W@)zhj16sn8e_l}NUc`KP9#xA5rXNp~ zSld7KnOVZ;6Nz7(0l@eQM6g)>rx#R(CYmc_cd7U?6(9^nxu)Ks=|^Y+1k^6u(>h)5 z`BC+vz58>b9z`^yn!IUo?pCxhq{GQ)tvA~(n5Vp(XbwP_TxT_3U)9-%ZMI(uP=btS z`J6S&QPW?U&S-~zL)~#J&WSm#MDV;L>%2Z%*Q!u&;60Zk_-aL3PPDYI;Bo;4)KiKd z7}gqYu|Ct9y@PYq8|slF-)4PPvBi+P3Kj(p&>3z9e6J3Ap$w`QAhWmhY<;PJ)PRpq z5jw+exf^HF>7uET^8jr<$snK!^AS+0YRu(Xy=}_FJk1lCF3H3lnsp&@%pZ^u-tyo$ zv19^ZeuhzUql0Q8qf2|}ku+w*Vz3J?Cop`Dd3J*5XH~KRN?YMecsAJptZi2RUXGW@RVS(1D&1bcerSj=@#qEbObt9Rj z@$Y@^)hl^>p1ze#fILQ?bd_gK0Q_C+bY7ObMK-_k&S+h1UsE? zR6ZizCnDGbchLRvA{qsuXHgVi%!B^?DpJM=fuODnG&8)3@P>dGJi4DPG88qRo(d{+) z@1V(@X>wlsc(Cks1@EBCpXu@do*dz{&UXd9Dw~OdlZmQDR)EHfVT9;tM%v<;w&*q0 zl8%KlchPrK>IC!p`mY1vgLj2Y-c29(DC6--B)99|g`R#Mjo-0o_Domc;^|d%h3}@z zo$GR52R`0cHGPr&X=+))hpDS)bmz>w;$5}s3XjzW$z9-C?G{f>*{7`Zq?iDuj|PqL zr>S=fkGxfJ24}Ag-{<{Vy{j?ny7sDo8Xjm>$)~DjuZp|YvpWNhKaDorwH@=c6*_Ic zbbK8|cR~DVU23m2v)I8)%;EvPY z_2GfUc%Oq4J2iWo(!s#ee*k_37C`m}@GP1X4P`E92UYW7p;3$uu`e}*n{2?CYNZ3u z1F9pW_BkCfa2Tzh%+2l*{1TDl1Z}kf7b?&~$`M79|44uha@|SnnX<7<|1{9{_*uA|S?OZ=-D9zoQmUGeCFHSrV@*eKS0f zzB0=L?>7skkD+7E^F2Ij2B7FK7?U{zwR&w0Up&%XeIGc+Drcbh!{%HA-VP_jxWfrL0{122Wom}zf5By+&4q)fDQ!h5b#V|yjhG<%mJ z!6Oyn#EW)4HJVxbk7lR3P0MZjPUDDSxezh>{IWReXnrX$H$YVWa<+TCRu_HSPFp4ektj{ld4`S1fmzS-o~#@ zfk~8mV1UyXrgr>AT+`z-3aG1?e`WEqEFI%iRzQ7SgA}X3*90Qtk`= zF~Z1X*B^jIwRALB{5}HqR$PQqw^D)$AE4tS#ef2S?3Hz4~iW=8Mx6{A8aNZ7uS!0h}UTi0xR))t)7&YF>2O|R$SFm!}2u> zcK4t)aQizOL8W%anZc-A;1o3ju4?Z zQoZZOnO;^a&)}-rA_`_=4Lx5Xsr6>2=7S7l06jp$zf}6jO6*Rtn?$S`p;Pio-Wdd6 z6mdzQ(C&*B!BqHEGFRoftcoAR;2?9N^GvVJ9>xOnjjJ8N^?cm_fjd&`L;4x;#yU?qvO2q86M)~!9yopUyF9N;`ee=bKl~QuLVXyZ1~hX0%xJO15HjPE9CVW2%-W_e+3#JESb$Sl|FA_UA7npHJf0@u|G0wd9{ z%1ceZO|7=Xs#P+CJ$PLZM(GFezL%5|YktTd5C|$285hwDjDJntH$-IjpUjKc?Cz8P zi(EI;GIx@TXk(WZI#SVz?*Jj`xb7{ZgU}KHv%RB3_)U`BTDv80^?cv*nJkk=f^7)@ z+FGJbY4PyPn~2h`GdeEASCYhS68Axpz7(({_~an&(6%Rvge??dA;58TY|-~62y6k8L#=fsGhOfl$qQhWyLT>1PZB)~T*QS8f?G18y*zBto}{pxXr@J+0Y|x0 z$wHJYyrte~9;)(;7!1dJYl<_0W}KW|F>xpdt({SV z;0`DD?jm45iZ{_3o8b%U5t^gCJ6eAuzOtfLy8{m`oXK}IWz<=|XsizA-9@zColW}v zy9motd>4lX7~ak};N!;OKHKy3JI%$V+1kd%4dvnmEa(I@(9>2fcLcms_G#nuv5 zN!&n)QkN0GV{|yQvC@E(uPZPWR{SnFDg_70(4-MSK+ZwbLC*_d+d?V3+#oPGXHq4k z6^4RwkOOTdkx$}vc|I>DNr76E$T1C{A=Zq%3R8sEivWYt%BDAwLk&K&0Ne-X?Ikrx zA|w}}acpUjd^OU4S+K4!)VPq4&nRTz51%8aOVd>CjsY$Eawb|HfqH>_4y8S^yhdm_ z-hgMNrAFs77Y;L&nuX$U$cR73p`>xG0+?CsdN<^oID*8ExY|UwRgCV#Kiyxh3JPd7 z6CWj!R1#dclAr#ZI9-~3{$?uf%W;uAGLrTJJ5n!#x-U6~^IB^&b~-zp>2fj#;s+fa zi*`j*>%NWu)6ZS54Dvea)XY8&{tW(Chj_zN5WBzA(v)uycC_Cj@>BayVrP@>c{xG= zA|`X1n8B^;2Kb0Kha2aXR}98|0)5h+R-ru>3EN5nB=x;J3<26(__wrDtm(XjxnsF0 zXbYL`A5<$;mb5{K3>3S*i=WsDxVN-mU@wJu;5N+)n#-0C8PLbc#}*v;+25kc^~7+>YoK56 zKs8Klw9Bh87_x@&jKIO|S=vb-i@Ql1alOZ)dM^q~M^G>k60V)^nJX9EhCMKF&?}2A zfCAE<30dn4HO3N{sI1$Ea?czddBqo+Jy5aRYof!E#SmlWk#-Pe%3!O!RKSRUh*+qH zY_ZR`gLKkKM*spq-W*ZB0RH(Nd?f(B8W7A*pn`>0XIA8Ot*EIA+Me}j$6>Dx@CC?T zzbH)VvS=9W+I1peDgx)v?&XIhCE;hnLj1s=~@s|8sAP|FrLm?N?QVImvV1HLji zq1HIm%(D`Jhg5twH!jG!fQQinBVj?S{0P!`s0c{uxm}h3rUn@Ayj7{0>ay64k&L}w z9O1{<`C}EoQvR`N^yl2Dmj+$~(0G@)Y;6y4jRiIxn+Kv3fJ`=`Q!ko_X*c&O2jh(* z9RKhlqKTtn#LUDj{Q`JAyy1Ygblg+jsaqrc(n$^1KHM_2V_4(HN@$@sEkixjJS&|5 zO=$|$ATGlWII=bap0U$wLsUBL0ZZCsE?U}71NDtjfyytV>!$VU<>O91#x)OObhAuc zLrajPUsMRleZ`r^SEMEMpA4lp~i$(7}Bch`hH}{3OKpXBtmtRBia= z0LQk(h03DcZ!yQqmsnz%=9=$XdY!by#1`K2*%KHa(y_u(2Z-cQVeqI~G|J_%PT&2_ z#_hRumk&%aW*N}1{Hj1GZEH83-^whoh+v|$OM*)tPB zj5Ez#0O3R=eEQ@V)P%LYo)9OQWp&nW!YCMiQw6|;#={4mW3-<=@5>^st&YgG*Asy* z`;b*Dytg1Ow$Ok;Y-!oZ(gY!XS>=MscoI;Ly$QnO$^;?#9;S@*W(UO__SwWB@utb~ zUTwO5l%Bk7{&R;{9vlDnXLY5}AGMwEF2aG?yS0WRxqlbaiQK*A!r+Z5&-8&g#!=VP zM_tc0`b&hEkL-?1Yv%k=?s5*vEyJgkq9_Tbdb-29 zPmWC=4Qk|auU%%jjpXE-GnR0Zf7sHpk7Cv|f@%6ai-)jIkXJO0D*!>Djdxike*Jj3 zuz0fKT8}c_gQ(MbN~5^)_TKnN}C*5&Tz|^{SF3mo+L+~u#8jZnQ%l^ z%Zzk(oOY9UZ4=jiNWY@dM=c}^oy@pbzoYrbJZ3-)89wdX-NLJC<3uxhfq9yCVNFY> zk-1W_>`h||UR)1(vcQ4x$v-m11yrrGhWBX2xx)MWW8ce`p(uEJYEao3nN}^AjC4qU zICDz_dL5YNaK@SbB8AwM$NZ^Z5cLLMUp%H-*%uK@1voO=06Jtp{f8doeb-hgM>e*L z>tDKHYI1EOrFpi@+R9X|i3?u@(OiC2e0h_>=_bu+EhzJ=-|Xn1^pG=<-3V9av9AG^ z_V$~_+i%`88&F}~gZKe?;~tny(Ut+#-Qlt%gCfhIT9$z_2?)$sMbvOT&t54hHj9mu`ArFv9P?eAQ0|`77Wx31Auq!Zm?9_dp=2p8YYMJx14dBC>8&=Hp`Fw0HRD5=furhUjj)Ie3Cg{#>ZJCdZ6c2^RN zM_MonMTI+L_qbZv(^omoeYCf{x77ZDGGgaM^MUaqT_~a6+zQ=qt#(|YYNd``zXv|o zQ`_hJ?FOalYe|d2h6d~!oCjxG9%$(~(u#n{zUA3UNbg>)5Y~vsu(S>=l(ZQK@N3@E z)R=D-px4KB?L%<#3em6Bx!?@b@L-1uSW#JO9N;@aEtLX6imIgQHEl0xmPlze#$_LH z$rT!)Rx5yn-&?c^lHO$mSSsH^owq0&wHEF3i##pKaB{0s8^~4E3t8WCIRnCP$`sF5 z4ulb%4h)!@^G5}&E!7GR({$RY-oYMF7RuCA;K`}T=Gp=$(F}}`X=xlYaN(3<@mJ$2@ z4O`NA6m zO8~2ruBRczElM3ut@VJm>T9WuCS#-VP+5|!V7|0s(&6_(>i}rVc2kcV3{F?n9&I)< zg`v}jx;5BHVX>y!fYy|jj$t&WdC+dsoH}EJS5wrk#pA9u2=omFGr-ml=f0Z$f|08p z$YN-II5L+?*R}hyM(Ea1BKn?f@5nSi4F1NgZAGN>pZ~1(e&I)U90IWsQUEWcHJug) z4pGULaJvBls-YG*0~RTO?HMRlK+tGolUgTgP_=J!OCDrgD~Js$CKFe8$v=>!>r%70 zOVR+iu#}W)QC?B3|DqE+fbylUD5r7SP}0hc*|Nx2t3ExgLB{BebfJF)ch3@$6}#PH zc_oXBdV02FjPiY9slXJlX{+mbOsnkCd`4Nc*a@h;-WjhmMs@-q*=4EBAqdQZ8;DCg zQk+*AB>XbF;g34U&~gLE;M)sREoo-hoyRR!W0SBxs;&pe*#USyF%XTPP4m*S`Y(M( zv2S$d@RG)c@~z6v{FFa$gN$U4H8h<%3HNn4Gr+C$>mRdw|ItN-0Mx@ z3ySahv9Se+XPc{W`mP(VSxOjy4P#A%eba(2kqIj^ zKs{gg(25MIMt&_Re?N>?&!`v~hau%PxBP|32F zFygDv&&X4Q9vLQ^X+9b=rJWxb=Du8C9cTU2HOP@gc3?$Z*h57VES06K&hJ$4gkjG~ z6~E{`Hdbd%<=B8CHU#);$-sE;lqt)rHLTsCf}$QVjq}@96l&CGS={sfia!W@URb5+)hClWL$Mub_p0eqCetO2D5yvAjmdMe%I?I<$?dW{!yT)UMFiAzCM5;KNk` zOlyFLa%eMP2Aw3*GCs?AgG{1X0(OT5BYy8#u*Wb zMZ}plv4=}kWa4Ux2srLS!>uJo9m(Dn7V`m!gaa^JAW}NPNW#;YzW@RDuh$2doOXam zCUL|NL4PDDMzhRlX>4*4aseS5c&-S!wg?3yA%@t*eaWqr<;x8&Zlp`u+}MAbMI8|h zN1}pPyJ2i_>8SA5iam$@y9W`_M(o#}RpWBUpXY_X3Y@4DbVV@k1%<2QqDdI(*M_6M z#7M{}vhjL%f|#a^$ksTUcX*&q62Lhq8c8_4gk-cR>%0`aRe_Iac zsJ%(m;K(rAs57IXaf35Fv~S0nonFfX zy^M5GXXCDJ0WWYn2^mW?N;-*{3kR~q0fE{fiw(4Zj3YOi8LVeDG-(42rt2Bc0T+U6 zkA&ipkW}WP5u#h#did0bA}GUydU%?fYZZ#Ubfm$32-)x+cLpKPp7iRp6+(<#8o63R z29xJZx@ckt5Qu#rZ=WLYvB6$~Yp`L!FQP|kVa5)?tY~jkaVDC5yTj`+ZCEb;AY21g zF1P=aKk?eO2E*p;4^36BGIr@~_-5L0a4%D3`_fc!S!!@i@XYUE5m&G)oThqbb=uA- zxB;fwB*89Q;sFatD?phvoCQsIbliKO)>@U!y;?W#lx3FU_@BY=v8|rW%e55gSEOj6 zR;&Cn7uvCwc;V029Vz2QUEaBZp2eh+X1lK1U3vWMGOe3zrI@|5Q0uq9cabrzgKCkZ zu0;wOj{ny(4y-ia__s7p+X|5uf0dbGvz4#A*gW81T>SnSWOp$cIXq^NWCaq@JtVNSE^W1#6ygbJPKZ4LEYD-hgb2)hzUG^z6ni%6e7ayx7qCUautPY2E zxy+yGyek4vR_w8%2d6V!&1Y!;8t(w_W;CBJ({Mh~&JFj<`u3S*9L?v^pETze&2P@d zr1KN??US~YyyGnJlVs-FeN@{TWaQ12uKWyhbDpu9&n_$Q)fATe{Hx35XMg(Dt2Ku_ zUcKj#{U(C)=C>UdZmZRn2XD3n!PO=&RGJm^uQH>MPZl^@#GxfLpzLL&Pa8m(buk7Z z>rv(fe1~>Gw*%3PNG8$1hoso$8mtC`nphxbnKKf4LRuMils!VX@`r~4emWcx6DLeq z@P^9K?pQPtQ5VAkq7iof%qEx>a_7OvJlnY_J1uc6>cPw*npk)tV>iWyI;SufaFNA{ z0!OhVHgC%27S6cfScdb5sBuJ%Z!lQ(5?|D6iD&(N!z|}(pj-*whi&nMp=cFQBJGNF z0E1*{w11faz_D)klsDgOMOIs*-v#_xRBuF{);-uPbmYItd zHktUkPT&Sd7~Vud&{>o##z;rs4Lk*?XrSiIKud_$OzdeDToKk)5No8<@0AAN?8!`2 z^IkI*5BtK4NqWxZh)U4Zi1oe5JnBkbexbu?T;|oX%^R5%4)EPL(7~9Go;Y(N0FRF2 zd=7@oG|fg#_1gU|M^dY7`R$WkfV3~L)5T=~oD*(PAaOI{m27P?aY$xYCJBzjtiG>l z#5^j5=VWHO%rtNdoffZT>piaF-T!czr)Sj%)p60offL*a>|LCEy87xEp;cbPVvQQPA_Q#oq7nwRw*7K>qy;H^!*g=+Ce&OzTyd+j#LVng| zx~gbm;NNE1*3H{*95#4&PgP0F^%H{Zdq#`&5|30h?3hlB^PFj_Z1-3h5tmXi$a@2? z*?fiYv#9}%ZSduNOOp`L4KgNzWQYcTYRwb7eCjXnP*F13d9H!Q$GpDJ%t^!k1b+nF zZV7^xG-I0aaxX#5GIeNBiYJ@-$7Lo{s!+ma%R$duRgqGmop|I9FxdCuLkfJ$EQOpgk3E=b_OqB)pkK@T`Py4b9x; z5I>PVn4}M$O&?CuhtH;uU@N_+b6+H}7YT1jIc}QJ)t?l-ceH|+P22wmIt1} zqVOj}u%C1xII-AQNDUF${;2)X31%!8zF5wqRDH}W$Jh78dPekL zeg4%eAdWB){293II`B`XFFL&)5EF_ZJ#2#EN|Uy9G@OHvgy#EZ9%6&Mw8;xgiNU6Cj8M#$sCz+3yLKg*U0;u8m zcBnbg!f|G5rI{?3JLqMDE3%7nu^`#1#UW$^msadN82drQ`A0O=U@RV5pkqFReQujw zZN5QTnlEI6cFPm#om!@F8%{MCRhRX=4T8QEWBjl$RDq0mN43b*@jNd_B4yXYq0}OQ zFbxtXgm9&b!^T{qJwCcv@vg1jrsHD?$# zjSL!K-q0}G(}I4!HTJ+p^PLdbI3EaH6p-CWc_JVwNgM_oFEdJ-NYbQFnn+TBTHJ)u zC@C!}A81x3NlG7ic-z!oH?e(d?3T0v_Yn&6fxuengpQLe`8vQ~nm2ApIcruYIPMe2I&o}!l-TPN`%a%Y=@Tb9apEx6g>7G!1E)+$ z?dW!iBz60wu1@OO0l>4oK53|vdZVPVPMYYh_zyn!!aeS2Ne%TH z>~_mhNN2f~8rCFiZwJbVWVA&e+P_7KoWy zl-0I8^{5}-M5}ASY0w+A!n>StMc7ZW%9lA}h)Q5wYg`D$=f(w|75KUnxF7FP!!DFy z_Q?sZ-zD0U{Cvs}5Goh>(TZPfYw)g{r!0rlq#P+LID?UXbknlj;2x&a98EOimK~5P z6V143Ua*fe!>b}7S&&Nf*|T15PPw!@-*U*=Iv*O#ndA|Gm_P%sOiI6_W3IVZw0O?@ zUGiC0xXyWxZ#$@8RJ&RsI<7ybPOB19Hb7*VWW$U5*(@!mxYb+Qx%9Y2FPSt8Bgo4qOUeG!!K( zGDa4DZ3@~%lP?yksC$HzL<--pzPf2E`>ikiJ+oZKo!x zeQ%~%RqK|IrFku(X3P` z=I9ld4l4nGtpYBJ_yb5$e5>3R3Sfl7Nrwgr_+|fkX}p(|CZ3gs@qqeAVJZxkb@s3K zwR?dSCLUhI(JJhLkz6lFa9NIdw@e#^3f`pJKY~gS!u>vy61XGVu&tA-HyUadjUi9+ zZf71Nl|W0nVj#{uXZiw@^#l8Ua0AdbEz&OezV>hEb`k&yT&i`+d8375`%2bMc+nzs z4xFX&Z@balW$V!HOTq6V`?8Zc??5|Ubf?I{e*+bEWp47XRM<^k z*2lq>j2+218fEMXT>qZ4Wp1j(znpjg>q15d5Dwr~DsFl2%Dgkr(UlxWa~(B#Suw#o z<;bY2QFM`^6JHrDlP@TN+5x0SPi&DN((&1o>_!tCRkl!rcTXWRTXJ>upsx`1+7-gS zoHS_dI264{7SMe|Te1xeZ#0Qfjd7^RG>!&`2^||G z_sIAUf9ln%4n>*zbcr(v2%G4fcD7b|RX4P4=1YS9A_f>5yz>T`(7rwc5FuA^DN_xN zfVwANpe+F9aSyt~5>OP3k8H6=U8i#@V&0r?&48BjFL6XJdjoNFQhICp@m=_(X^xoV zG&uIMU>6q2afd4o>^@@8)hNNhlMv2#+B~e`7g%tJG>+HBnKJJs_M zojcDOZWMdk$QBHI{$w3T2_>VL)S+2u-@naipUrtVl>00X&$QN?5u`6wjze92W;P6sPmN7B z5Q810->T}M=p0rYNubWE4GC;Z5GxhsaU_Iy`x_70c%H`@F%z-=2i;j7>#dRQ&h*LL zowpm67hO@c4*O*~bSVzy;j#oFq@6H=G@0mjL#F{VrABE;@L#{unANkF#Eh0!_5fwR zUv{hm?+7je^`*ib`rnNMJiA90*hge+nG03n?qx%Q%nLu#t$}&A)r1Zc9L|aPN_*Jqep;y`P z`2eqzz@fV#V`|QzaF7Fq!FcKN2p@%=H*Q&<7;-IL9Zm1fHjlKzSRcRadSU+}6wY!Vi-(BUSpuH$SmfhDHhR5x2ho^BW6Rf~v=Ib=pt&l_ zb9%MpZkK-;U&zO@i7T?5x+?3B-ku?gci)6bS0KyY2LjVuUG+Y2M&-X0*JLH9Ghb&v z-RKwc|L0G2VDn~nu(Cs5mx$QRnpKg%vFdEiP^GH>wCF!A`%kIS6Tx}T|HIz<{K&Fo zX+p27x_Sm5%>s>P#R3;D^}AR7URL;Tk0)je0>pwpV2~^#JR&^9BRrn}$h?tD9?~or zq#AmdZf0PnUsrWQ4eF6vjT+P&P-oAIEn60EF$<7@4H6q9_`Y+@J=`NAGw-c>r5Pbq zuWn{Wm>n}a_UoA0Ip60svm~eUc5$edT}hxSaX~9-3fJ9&mg<7Ai|YK01a4yKB9<2CKZilUoYsG_(G zAC^T)@X;31>U?=x3c&mlV?W2LNXwOB*^|G6_f{0Kk|Grqk(nwlh0x1gcFSGG*kN8d zDpM#g2)T?494=1MyjFZHcpR{@NV^iNtk|Qc;6WNFAkz?OkKZslmUKtJC;hfBJcQ&A zY!=mHFO5(PiAqbLSAtH_CDAmV2pnDMSM@jB#M(BmG zrfwO@ai~ZI*mw)WC$h5a1$ffUGpLPyW zr}dtuu5tblo6%#Q?=FIo>>2HRZ|L~r7gfbOkJD)cQqEmQZcI`Q5=pSGBn%I*uYgIP zjkkT`J5R11oQw2q9HvQaPTEKUOnY2Un;EE zhwt$v7ljS24YMBFWBc9E?-a0pciwF@^rTMF83HET1E$?5=fC!ALwr$*bs78I9*cnNbMkj_cwnH`%HnG@N{4l<^M|79h^)@6 z2b@nC{zA*3rIzGl2dT<}Y+LooCgkltw#5TI>chyqc~?>b+tU+i?GE0CtrQt38RrKahr{o$^Yb=Cf^tR$C3O`Wl4Z% zApesO{#9tnzyzs@l&X(;4Eo_?$%c1Y`YfpL>W-mXt&!y!3r%9_-3T}<)YJ{9)%J*` zU4O}O^qOQ5YLi=87C0M>Q${bQG($?FYss`Wk3P1)+sQY5U6wc<`wkt2m(`IfW8@!f z4}OA)bfA-_ps7srZ&BQT^P^9~<+4w`Udv;&^-^y0$6d4NFj{)Zn+PU=bzHYOf=Lbn z1Ylzw(g$&jLxwCtHhnk&;lZHqp7spA9p$i|T7k`RhWb$`FB^^2X9#D0te#+fhBMBO zpg4IjpJ-zbC1k#J9Sd!S)V9G7EcO+-#TrH4L53^})Vn{j=`)*tF1T-7^QafFR(?ic zsc@8h-iucqOCUq+*n zB_?4O+u-RwpFiZ2onK!V#)E7I5`9=<`GuAXNTT zCr~6G!ZI5g-RBxZrYYduFuI3a5h;rm&aY>oxlpChtYHyrTCP+pQp^>H_t^THf)Ww3+7P z0UDfVfCc1(;S)tRPd}f-**H%$RS}``l7!%TGX?Sc_y3Z;^-~Ik!Nu_L0DymSSAoO-1Ib$IRpQjBRb!a3vC=f`LedC zFb+n!mpG%jEkh{3a3}X`(?3LrhfjT%2gm62s(B`4UMc-UlS#M zfifn|a^JN@{@xL1xyE$&)*o<99Qv{NU1wmpmfil?)sRnmfm2hM(bZPV%XAd)$R)Z& zIm#sgdjLxq@4*%Z#WEQ65h8jzSB2skE8dal0Hu=Fs;HxdwR4;4V)iK zVgz@`?d=QtG`92_!hr#{9tROek0qYrm-q`EgF!2bhFHwSu91~@G@#^$g%IHwXJ3$- z#(m0-#NSM-IQoW{$eFhymI|%&ZB_0^5}THR$ovdLR7cZAV|8>2IcW*Y5MP>Uhb>KQ zu(?107J~e#Lkn!{RC~;8H&=ICVcZZbcT|P7Iq-T6`G;>W>Ts5$K~xXpF1H`B`bGPc z*KcbBCnt0llqj!t4WpXRA3&>evyN6V*z5A9b(j?Te9$|4ZB0!Al$-Ob>7;rO7yvHL z${mMQabJw)m(E{(9eKd`-9yy4i8A5#&p+jyFy+S753&%DglS{Smz0%8-1ChqNKE@< zMRx(A9%XGTqP1{d9J>Xq@(VF9kIYmZ+_yL`b<>ul=1UI zwj?_f+l=Q%UgE4kKUyl=em`EfU+&3-U^5>IVusNvbhMs~KE=`~e_hBKIuDjgPi0Mi zn)4Jh1iJik_~uKTc<~RPUCt}at%b(iVn_2+jk@=I}`RzJ_mPo;l4BPFY~8^ zrn7T?eNlnF<|O*12l=fx;r`ui8pt_gPZJtEVfIJ9#FQkmc~RZ|Ieu}PcU5&8nz^f& z14w6D_(k5o@k7fjLX2;Z-lvT{)VuEA6r54>m=I`j$Iq3I`YoI#v`)W6@}Kx37|`N#|9 z^eR`ob8n90Z<HuiV~Hy=vqO?xXeaTa*)u!8Rn3B zLQft=R!qPTLg$f0#|s#$wKvIuRA)a}{VX9yu@{}Cr1AkD=@#b6l>i|^PF!Xa1&`=W zv(Ss>URaJ3k%b0}ptUGUoiBSX)WjwxKEEC@`rMgZROne7YQ+I5U#*JV?H#H;g(<$w z@9VuYEE;-H`^rkLK94g}NouGupGosZ?rtmZBI8&owk;%Cz*$|S$WhwkjaQ7bltQW; zCCX~&UFEaGu8(*ixo|u~SIb$^KB~z0Nd6TTfaKpCA>o1;p1)eHa zZgnr1p`X*x`RfcSP}hp~bmZ+WtX~`%yk@;*7)`mr?0Hu%*6#Lw|JjBg?GA2(PmZ}- zE5)86z3QKlugTvkk76ITT>r2t;V8!q@7*4GoA=H^T+>5~eC28lVBIdeZck#*xfe3* zF!a#@(adR@eSVP^+xe35W1W!1+MMYf=2L)^c@%Rt1elv#Y z^NuRXcvM_eOxF-K6sr!Y8<{1%3$T#nEe^z}QyktAB%7loi?h_>2EoH93{lht4Ljt^ zy}|kM1Z^~KJSRs1A(u!zNO6G#x>HT7`b3!wDGVt!N-cs|I`4 zTU0qs+Ej)UiRD!ky`=ako8Dp2&pA{wj@KS~S{%19(p*X%WHq^Q<&A}oOBe~+UBc^b zKV{SWn0xpC@|Ne3bvY_?VcC5s4wqI;lKOFiWhzLWfMNcwby6GK&R&uPKF1=uDr6Wt zPcw{!xs(;Bvy}cznL~`B2Xd@qIB-%=6UJ%gM_hsEY=pxe4}5&8tqG9$x*Uj&A;5a5lJT z$f*`bRP0yHs;bxSJD0SU?=6_dBcFgiS$N=oFT(xd{UZpz2Z0jV^d*ku>xO=}uM1QF znL(gN^lAgg6@wbN9jUX=n!MZZXav6{AQ;|nB%1i90AE4mt46vvo=7MP3-aDK% zN@Ede4HkSWYDoPEG0nryoiyg({egW%!Iqcn70m>|&r|ms=ls%cW94G6s2+!al%`rP zv3|%$>fe3-)s?yDwfv8~blC52)mtM!2KzAUErhYQH>dr92G_EAp>Q!F$Uh;* zRNBk1Wxt(0d^vkltgxJn2UGAHuFpg*HgL41SR zFUp*5wO_bpCB(6t+VoM%=K^?@+R|%<(Bi#u=Wa}iDMnx!;b9q-WNA;L_oLFH@3pk# zqFuhDm*;YKuEoJbvD)K~d}1*3E#=+QNy#Pb?SXN8jIY@mQ*U8?=tG<>Ayrz8Y}}^! zquX@u78@js9#sakUUz+~9OyHi(UyPWql7F5{;E~Ls{u3&zzEn zmtx<|59nfBGUht!yrj3wMX9I!0VeFp-I;Y>9*SM{(1TRM)X#UG9dHUz8@=x*FMfts zE&kXpd`++EgqurN9 zS-ndb)%#JE?BlIfyFBWAY*$YTyqK5cl`NV_|JcU8CVjH*59{Q)6#wmhyy&>eGGOC^ zY8;IkSZw|L9}k`AM%#jy+jd!+0u~&qM?Njt`GGyIt!i()+63p0le>ta<3^>1pHk{J zZ?^7Y+Z`FmhNJBVcVEIo-uTttuYu=S&aex#MUb21X`l~lq?Gqv~_w5W@+jppLd8;Qq|3g zZ$jgYaf&)-nvoYVPE{9GNvNlX;`#RoX-;>{(_xy+|0?kB2+Ph}5?ZcB#kZ>GKRU>j zz?Sg7Pwx2S-)9T%#0i3olFq&mbdh`QFAk^s3k9O5{JU(9Rswy+JDcug zVH)4kQ07HWYwAWEA1L$I(BLaV=*m`lTQGYZ?EK-81Cl7YQM(UohA{5@9?Bsj*U2%BtLBE12?W}V?Q+J2Sw~M^E z=a(mD-kR!m*0Si_lSFRb{2CQgBkU~Yc7H>~etKFvyG zs?F9E&cE`*Um!rh`l~1Y3!eVsR3Ca#=tqGQj3W!8KI5&(0(l@1hyR&B%f=A`eXf4T zb0tngf(jyaA`g=^Nk=gPS)b*GYrJ^5r(TqhB>5a9U|&^OxuR|9%1Q#=HqT2Nzc5oo zz<8DhPI8Vd2nJ=e*fD7|EhTV-K3ukfGwdd_Fm=*%uKDYl2yC!G=+Ba594ipNtczGL z8RKM@rsFsPKX^qM@-~;Ce)BYDn7{}Vyw7EsFP7EgqB>!p=1q#=+W0BotgvF9LlTlc z({*q`pe03U(KJXPd{u#AX2T|uU=|TWdIVnbdWVJTjE4==hZ*3H0YK6h+V*HeNSG;# zedpi#!DpXYS07olhTH8rCxol=dC-Z9A?~G(Qs@><$BC>a{MM1^1N>7xHoV_a2YsmBtsa&0X(b$(jc1w&CV05*bcC+R3gY*nI)MtbW*Yy!nDOs^k_F0o(~Eq_S7gXsR|1jG>Wdt~qUMv> zqmdiLLD=+9$eRuFq`QUO{7biF6&KZ`@Vs{iVkqGQ@zdb8`(;maJ$(7O(y$YoG*e+? zB`;2rt*svOdZ18msy&7UYS9s_0||HqH>#O9{Ypnj%?{YpD;*ky#8@oylQZ-WeGcyP z$NJ=*e}n!dTnXk(mZi3F8v}C|gSy?)Gu~M+=%25c%XO(&!uGLf2ywA&-yG+tU_ss$ z3|j$*;T?%b=Zw~DIhq$sPiP2uSC_Y~x5H}8fHRm~kL2)+>6JoCsnVi0uFFble335k zmg3NK;yFU24YpWWI&W2a0t0CFu28BH{ybk%s6OvN%ImVKh~k7}8Vjf61-*E3%fErbae~3| z#FqYV{uOn+G#w^f!_TUt)#xK>o#7Cl~f@SuHA$_!C&3$(8$1RM&M%Av~T@_~X`Kgb@F6&Dpun(Z_%O z-+$db|J)VV7q@Dw=Rd9nehZxP++DS;ZZvdGp}}FL4ON^swv@l|n)04F7d)k4X}rpv z`OF>lYU&OvC`KO!d63QN61iX0j3>w0h^u#AqG1K*;`6t>0)a{V{722TTn>s@21UtL zaYa%v>;)`@&Tqxud;T-o1siwu{6|MXN_ zQGz3>(D{n%DJ9NDB5X%A=__ey{-G#k2NYFz{B3}!7v1sy&-B-~0^-6F?!G6;UIN9@`9K@v% zBb&-t<=qNni63)Jr-|B;TNZ|>E zZwLlt><=_GXT<;E&BbNT>5#~DFvNaYRkVR|=Bg^WcqyS3uj59*ae|YNA<#7G|F9Nf zE_>VOp9{y2hCJPfBDn^LHN4cZz4qg#st5ryEi^KT??=L`<{j1GQPvv1OSbiYHlR zO8F3LR`n4T<;+NBX2{&tf5itI0~o^4T=ziwBhOZ@F`cNcUu@=_5vj}wOj^vHqBU2) zaS2#*^kNODpMQQ)4c<^wh|Gw+_*D)_23R#1u(*;S`m%#rhF<0xel3GTKb4{1D0HhJ z=aLCtR{7$-vP&=yEZ8VSHetSc;ysZFLK&roG zei`r@4$RA>^Ka*U%WU}eUR(>{cu!@#3$9hpQN5JL5R~~zoR8aLRSjfeU9EuG7jihP z(_uT1{-X^3B>O4@j5ueDL$fFZ)<`u+{ny9nGMTylP_tB6I^A1vmJt{S=;Qp$>-FTI8LUg1N4cKJ7{9aH;!x)mhcz#1h*#KuZRjt4Z+Nxq zK7Y%whYPX)`Vaa5b2+wDTr{yg$yxaN%p#%Le0N~Po<^|~UgglxwUG$NC0W4DVJ#4~ zyrd)~H62CmHD#yHGK34)2p_Z=&2Jhf@Pg2b31utr7m|FH_p-VBwmBg#8%*3#;?Qw` zQku0@aS$>-vfVBOv%up?h#&!aULa_u=g%VbaS}>4ieHknu$HTg!$1z7nUou^!sGI@yY50`-N)!M@+1 zo~uW>J8k)|>foGKbQ?q=PE|zQ=8gGvXSDeT>=))Y_re+m@#&2FetqIux?Y{ebw2Bt zP$#Ju%u`SO>XgY~+8b75|K4p>GL8b+66@knG+TKBl0^zr=1@JM-wrDy@%)5jhrJ=} zg;-KF&~KcGI2^Z9rFyZ0RYKEoU#8N~5d4GwkEJ=bf_GS% z<<>Ea1y1dTK7}}vEi0j@96tKO-5rH8M}da8q$tn}kGfbKcjPW;%>6ymn%%yqC8`ML#-=X-&7z^RL}*&xje?H?YKDC~ga9ZD7)tQVUBhJo@BCfmj(9 zX3GbBhAnK(*9=1@jI24_cY6olVWBP=Qi<`lA-2%)ftA@yI{&u7B3QcQ1-&nLO};HC z4hxC1Jzo;}@=eUI-*P2bcm3oqyX` zTeIJzJmGn&O%6*Bbv3IeQ#d<@6mAQgsd+Vhpj7?f#n$%P!f|L-u(z>TthMp|NU_L1 zZw!>7UR#3!^TfZo55n>?rL*r!-T-3J<1MfK>qSv!vFiA=)~zo_+%a!B7-}re2ktYC zH+<61gKJ?N^jMWwY-uk#-*V0Qy2B(j79`02@rAo6Z_3%AeKlra@#G;njxjQ|oLUAa z5tCgZ+!+1+V*8qkalu&64-Z9+$+;-7);~eK)8JIU(;K-`)!u*dvaoGs3gVxZ#m+14 z&69SXdw-~h;qa6%h&J}-U?A^${zQ;+<8hE`6aRoqm)xuHlM|V*Aq<1qm4fyCUh*34o{B) z9P~Yigyt7S8(Q(f@}tGcgH52~M%*2S3)ZOX>xp9 zzY&}`L=k9dajFZ<9ahm^C*_|aJbIz=k+ZDi`GjV9*L+mF_hwTpU5mhUrlD$vMKslN zBs7bk*)dQY<;I0HFml8=$^88#3ruclKXDe-iioy+C0hQnMF?F+tVL)D(=2lyVOCp+ zC%JxF6%R15+K=p&w~CWZBZ&Cl`MHn9R!^rr!M@EeU5xU7D5XetW=fO3y6;wsK`Cfh zZNA%nAEjxdLjE^y)ZF{QsBq2wZwJ-xGz?GH6o~VsQ!DBB5_u{zRoSmghxu|x$lMI zzvyiF7$ZQ`fpQM&*UW>{fJ6o3HFREjA@-?|E=odm z6UPa@Glzq5*Uvxw^KT1o*>b>`k>OWn?WdT7KqvIZ9_I`@)oX%t3@ zW=$@#Mwi;XtZ*80KJ{6HQPy-AIHHNG`ldb+YLgo|=Qy~)7A3-^!nj@MmGwFu^8Rmq z;HP~|CNiU^jAh=Ut`1MRU4o#+>Y>0!q&R#r*8?we0?z_31@b}cgxpT&pERA*q&5jyCX z*Z83N?YF;yF+5;joE;zcdAr3V7nTUm4oU0t

    z2LMHBV5`gD)MrpbQZ>V{Cc-NBc zm5d_GZMDnk-63p7YhKU_TGvP+ZuAwaexEN}ahQcwmU|2jmpfoy0dZ7RwCC{06qIJD z33t7AEAcOTxr5am)_vC{PNme<-R+1hvhbx0!kFn?@IoFnEZvyQ`Mm=nwJH~-a~0tn9McKG3}{qwn7*p z1(0rNcP@ZWkF=#}+WX$+*Rln9Kg8Dta_x zqn?r8UmGBcVu2DDxoKB~s3Xayp-HEYC-kBm{(8F>!o%pB4gNq zWDD5l#r`83;rGzf=n!c0Num)U@0tSgnXF0Ubp|)uq{6f$66RltZtjmcVNE zG|@oKd!R3|2kgjgr&^FA;!i0ewnYd4UbTBw$D5@a#$VC(Q6Qmci16hhw_G%DmZd(= zISs1DbR{3CTh8jGn||erHNhosfxVqtY74%&ngQHPM5r$_I*YEidB5sN%|gtWx}y+O zVVQqw<&;VNKF4y1Nw+t99nZybCk+p>uSm{7TJMTv-on?0ex|?krxm2&qFZq#q+>^2 zl!G3^3q6Fl^zheyec*`d4FDd~?&-&RvP94VATvD0>ire%Er&>dhStIrH{JPJs?3?%wZ>rzp~=2@ia)%)>QMS^AU%n!<#f_d*U7PMY)03 z5DKSR^Pn%z*+dgOR4sk)uz@+e{7^=ofm7ET+V$(AMB=~TkS7^z zuDn;-sIg43r(kG}G`7|5w8+qxG*qFMH;=WZ88Ilx0y7kLx+)B(^l4!@-)}41t!_hV z6sQ9^>Fa%^F=&A*@+>5mpkCP{kb@(LxPe{fg3Wkbk8%X(hwu$O23E*LkDcafEc$jV zW(ud3CEmlbWBir7Ey$yN*|s=7*AK_}HEg&;-!x&pSgB+9b*na$L8tJiGGHYDbqfRF z#!T_GU30D7JU+9>YLV!K<5nQ|9&czRvboc~?^Zco0UV*Z+bX~Kg*s%w2BSXEl5rF{ z*ZAN1tM*Y{K#NIVF1#GosaydXMNpOKF#h9}h0A5{G3VpwQ?V9zM-)w@r9%H;y;j8sN$AQE?Xn0Q2E~Q1 zK8gRT_n{DI)vj8YYFt8Ddc+<=z6nomdAb>abZ<-jxU|w4t`erTt3%H%p!0 zR^w$}Hos#@+%V9uGj9!<69(E^@E8j0Va35=ZnrZpd5;IyIBQTTC12Ny**T~p9SjW#%ORyhMDudF`kWdbSM7seYK;D^pPfaTTK-FS|O8$ z5#O@!RzBHWjwq~1J3E~Ag_N6Gl-1fa`>vr)w};hgI)>S~?R{}<4MT7~x|tG0D+`@` zY%#^9h>aoQ4!?WaGBBFml%vk#q`fOzEE-3dFI!f9DwZFwDy=w^UpHhvE@iB|E!ttI zklmw{GZFMg?d5^(zHmPj2Utg&i`vr#%V2cgn-j|58Ew-YR9%zm*@=8Fwcu`aqZr@A z%2mqw90uUtlaS$kaZyN9Y@nwFdWRc?x54ry_PMS<4fe=|!LdPpw*$$Q`_Q&dhV!h>8ywS|3o=r(DBTO5>^} z;H|l3;*4ADk9kQ?L9~hQl{Z?bQO)QrxBt?@^Ya+A;>6@}>gFhZeJH%qK=R(AA6BZ> z2STkgV83aM`Y5vVRw%?qU32K&)40m(V#l?`+B{qUHiqX7dxnzzlELM+VMWfM?511o z?UMcH# zmsMSPHrSu;g>vdV8Y05Eia0VVU&J-rPA0vC;nUluv(92Q z>Q!E~35Q#x<;=w9KQ4&}+Jctts*=+QT88spAWgjl9KBG45hFGfL1S^&zSeLI+j}L`v)ZOaXFYQ_&RppXFpSz8chFlB_ z6wp3(+;lkvIlmf12nb^hp`Acfh_%t=YS=a%M>!XavZAqi&}HZ-J<5+a)z+2u(iR$C z6pGn_!FV!zv+1DabGMr8G7p4^Y`f@D5`!=x|c&}j1XE|{eQI!t^4^72yUe#;HxyEKh^bQog)PGL{B5Bq8Q z^ezc(z3AlP-+}WZ8hmWPDqx+pqF3icQ8)GX6|}BD;nwSi`GF8I&Xbgn2YVVadF?!|+mfBZRcKRG*P_n8X+##8>_T zIp;#S@B#Q1tR?l*mr;pgkCEC%+jt4xR9;2y5o*$9D{tLXjHG@T&xSOyN4#(KOu_-cJ77F=`UM%la>%;!go7BuBzt=gYXOSO;SFJll9@^y{Xb7ac~{=?kQg| zYPF}!gB?%UT^`yS1>N$3gt3*x_D@Ft{0%oqNSsDAfoexy3%Ts#jbpQ@g|Q=`yQmg| zGJo$y zgGj*yleZ8jh`#=Q(796)-dkd9V@I+z z4JVDy23m?V9yeYCvAA*?oZFuNxL{a%bD%jF*-nIfz6?}l$?&#v2Eyy%m+&E$w0HW^5xPzex@)=M(*FgUl}5J02I9X}O%EV&*L zBs!d?O-b)Qdd0juD?N$Mityi~MSZO`;D4QOMb$yjSJC(KBULRtTf_nUzN;Ushp%27+u!+N_5|4 z{rH&mqWdu}>+*hy^^Xq*{*2zpD!O0VM$6`$p|gW#=L5mabgsA69w#OVdB6;`b0o40 z(Q#uYE)F^#(qR(%!w}cq3G!^J!V^(!K|4{RS!u4OKR?WAvCy>cxH zk__Es7zxRsT26{{on?gO#yVkCe3irgUXgl2;`%prz9EYOrkWElguoWI&oNZaL}a?R zvdDP4b4C5$It&&l9S3dVQ2uu{v4B<_G~8R|aK2}le!Vp3?ws}AIgsL5wamtoTiUUx zE3@hu$SinDAGQ94+wVgX%+4@9=Rf$h&psoA&TZ^83n}GV5}h+Tw{>|{Ks6UOEe7)w zI?|J8Zy`}u&Rj)KbA!+`MQz`@B@Ovv^ch=7sgWk6S%j7onL#1QaY1li)xP{* z=L z+`W3T)5QX&$D_e<_JL-Myg#E^(ZCz)r{|*1E~lld@4mAHq9l@=;7E|2O^cfG&%P*( zU4lz=E3+?1ZHs#7fv0i#RA1*=ON$PnUp!9}U@ zxKtr!y(lIKgPx?;pO3iYy?wq%TEeXf>{gnM3W=wMM3X|Yt3u)=wmh>lLPU+g;k-)F ztSUAoQ`oUdDZ?NB=#MYlQE9Bo{t+vrEi1_|_?3DUh54hx`~jP))PdpiLV46Bd-u#v z9E3M|uQZRhbQt<+Xp8inU<8`yk4H)7EArcDys?ndeXPYBOUQ@EBV=fMsPG8ZQIWAw z-2%(CJfb&bbrQBJrST2M*n1?4Ask4{N$Uy)RThma5c*>kPev#w!$muz8U5XTThIim z&#pyKfOu>8(`F{)QYNjGv2!_E0wM$lwwQQS%$!%r`$Eczv>f+c)xP)kqmD}^f5IRz zBb5&2&aaA1XUW_$iJ;igs=~!|@C2bAWi<#UdJM)bjNVU%)pTmWfaH=ptSk_Yi#C?fUp|a&Ih+S(JGPm->&Su+H{8kN1C#{ z380k0WQYaRqwUbb=bt_QZ1mf)sP8M9E<4lU)B~IBnD2IEhuXH)4d}5Rd8{cmXG9vo zvN{UNHqKPLUE$puv)d8Q1+tolqHb>hPenZx*b$pRA)f8%ppHDj`pLZ+KG^03#7bb0 zLCdd&B?Fq5K%x=GTVjD$1e0!grMEXNbyv06_L?`9miD+^5&{Nkt^|d7Ww$SO9WP{X zN~}F7v3MxN@!^SaU)R7`Jua4DVu_(kms$@;Oqj>qnN;7z*2K>n5K%qGR9zg2bJjK* zm9{Ie^UG&-2Sc^%ymJf`j<~A@HuoENP(2(JWoQ^6Ir8M%`yoFZPtSi^7j66ev-{_t z9o*fi#1P>Tbl17Z=RYl<|MZsf=SdF@wZaM1@;GC|W>|G+U@|gzq@|0^&X@<&dInvI zuTb6n^Urq04Opli6-r`-iN_+d<&YOGo#VHaM>kAbuWfM)nJeodpfG>LFR91S)SGeJ zfejkj?mnu8^BxgOF~~X?T!Ip^g{Dp|p^tVLuxw3Em0hDj^ z-=TN&JvA>g+t@Ekj1t1jwFXl`ZZo?A6V=w5$JegeNmTp|2&o=H>fHMKN+xK%=gl}@ z&dhbTpa+U#Hr^=pfU6v-62nYvNTY9|L{cf5(~0BeM&AzbQ(=!DMPw%9eg&J=E!J*< z3DF!rXJ8CgSNkRXPWCSTyEhv-AG&LEAZi0N)3{K3{rsml@TGcqDUFSlfSXk(c)idX zl!qmSuUQ3u|I)=TSohpRQK05-n{QWK6AyiNGPD45BCl`t=ox}a!#*|2^^kj55mrzK zC1O%I|9uRk-d6r`taei2c|O8cb_-d>WFBX z^N8PKj(=1OvmUKV(DHcGMqpsxN0DAMuh%6*v0Kb9z8=Z6q(cghz-{5Jm>x5}+f~i2 zD$aW}E5*6t{Q`Pe6nSr!6$z@jmO+KbBX5}?@Q91lFQogy-FkUn$YSodLulRSn!eHoltxVV( zPQL3EX88l_0?80E;^JQ53)#mypZt!Gr-O7UnfBzM_hXFXx-A&Ry{pZ-_3WSW2QBxR zA|;WElfg}qH>V{3S`ubWwdSPxF**90?Nm~DLlRFyaUjHvb+uRsuF6}bOPL_;a;Ak;Slg z?)^9^IL$6yvoZHZg4K83)1L5~D@OB~mH7H!WDA)s^%}vy`SEaV5B0ZKWxAW2g=TaX zUNJI~&{iLp?SE%9bHVtTWlOSEqb4Ykm3SXRY9(`6o=~sl5*Aoh4|w3iCzz;496kku zHFu6!{F_txz^3Co(r&$cMS^8o*Y(OU+~Ym1T$qdb%JTgRYJNrwT`;Q|z#%q>q@5ze zBbCGR65}SxZ_X*jyOSn21kh&f9trui!g+#z$5=(w02ClM@>Mb1Fn1;DLFD)JdA1UX zvq#^X<+h`DeB)w&8X%sR)uv%IzvP12cbSWGw7*-y-$ZOIu+2L6|yhvw!I?nc`;=Z8=(3ywoq6aRUuSz7Ko=X6n zoN=z#A32Jw=KCY%Lpr1`MDl3S>{=btiC3?yh9;%tq2Ggh<+}f0I}B24e@S zwr2@q(PloH9?zl&Y?`o_+$XKaNzbR>Ui$y}YoC24TbEp<4ZqpPRKv><`DXadegh+| z%e`e?J+5R9I9u}w1E@ZD;T^B0c^iOU+|omz?72J^z4ta4WW)n4FlVq;6HP!ErETBN ziOqm1-Yf~V=lddw?-4M=cST9?HQ^iPJ^G`>2pv>T5J!AXAIl+hov<0rMM{$LMA|;p z)d|(%HW+8beB~mf$nw!uRW$7P%x9I}#f0BRGxA)VaD2#)c@4pvfqEsOG=!JeO3kkX zDon#!AbFg5GI%eLigc-#fODUp@*2N1yS#7Um9UYRNE$Sc1eH=CDtMhi}($Ckh&l?CTh zvejwUs)60cdlYlTp5VipxX6}y+tZOQu6wAIC$P=)PunL6E)^Gsf{=MPatXV1v2>N} z9;ZjHoL^w?=8fvXc=M|~^K%n1ASw+58&$Q1HNz&t)GW1uWMQ)T|K^WA`;5qXZP9i) zH-}sgV*-j%wPFF*2lPA{Vo4zZLy#9X?kR7aB?&zQ!Xyr7{@e?*3>Hip-i2O}%tJ3u z?;>Z_ElRmP;c&Fv2=OcoLN83>bnd0-Y~m^e9qPS#163+7tUu8=A)9bqj^aX!+MM6Y3O_DToTOD?nu=wih+;}b0VCFX@FKk z-*KFXkVI4IT(#Pc{3Mx^>OO(Mghb~y@mv$Dj?gt%K_p@IUNj?Pd>F>roLzwu z=Tu}2Q6*0Nb+L!G!h~?8>{l5R3FLb59Cb&M4@%z5$(cZWjLL-=is<@KMgbE-R%#sV=5E|PGvO^W_6$+w+vbchqVTQ`@r~{#AqB(Vxa{2`sNA{eFaU>(U zBWDB0q93DjSwf8le$1&9ICX{1dCzG7DDYBT*|Y6^lnL-z=DUOGU}CMA8V4(bjZ|>{di86AAcUO&O{8s-%_8) z{DUOHSjrM+#>_xrm=qaxz{Tnj9m10hmC26Jv_4#$GO17G{D(gnJT_&Wtvk8vddYFq zp^qLxecSwzptE~J2$3&csR_s8SF_}+D7eGy3!Hm&lZ1e_URmJ~I!gCjZUA)=2T8$` zTtmgudNFmO2|`RZ!nJ6S%C;-_I7zEfJrNY9cTjdJH9NUz@drkAF8C~aku1S5lVq+< za5JI*6)cC0{&gE-;qKLfnKU3H4O^g|eW62w0(^5UPPxlAKq_QuBP1%#8q&c}Cf?9uZ~1L=Iv z&#>Z0@-~iHm1?9LmSW73kYFoVPt!o-(FFD^3;9Eq*+gT-gqF-l>QJ`-d8DyiNEXeK zD3sI~;xmo5g3v4#lrt_tb6=yMXfDjch^TR>Mwn{261J@%4G94z%T=JkL_TM4oD%UH zpJs{1|6o_gE#>!-NDejL2IWBl&gGgK)v!o-(L8|lLibjxBhpwF ztiMsj2jxI^za-O86UfGjOBY@FI7l@}1gT@;_k!hsk7tp_Zp^$0dt=7slKO}PjjNb( z5sgE#g<9>2l}eLGocIH6j<5D4-zl*pK{2uI0x=n9-aJh>35h*^7boifKf}xmeBb59 zAw|aOxz9Z?BK0L3kM51s(SF92I^iR8%I$HMsw+I-Z0M1qxCM=;u7AR@Bo=E?*`O-3SkeJ0@89_3hHAgu@$s9C zP^D{0E+xiv=Mv;fPN@8Ll2HztO(AYtZB8_M96Na$e<&W^S zx_arSRPVCLv)efALZ8?4BUS(gbSi*1gQm|)Pke)((I~FjX`a(vxnoe`3&+kkA_J;$Sk>!4#z!tfSsy?{yU@gD*mK`zFTBU;S zX_oe8W6JIGPjf~`EeYT5(WLd7wY?&@Jhy2qQo`&#<6ZapVN*Hzs*{+p8!~8lQpSkh zSb1f$K;`&kq&kRK@#6XS8iM;f`;K5v3{b)u+n^qp1q#_RdX*pok4Tu27;CvSi^6S5 zyYx^z3{h-HtY}pCv?WT3nz1z+0u%IT~-IYTkvgOF_W+t%k#9v{4or-ZCM zqcNS3C?e$K)NQCYPXhi!$ED%Mofs49+hn>x8ceAxt?k9envIxniS+8m4qlhH$( z0STf;;kE5wti+RwnZq0Hw{dPnC|?%%rK`zB+g4@1VuU17MY(j`!Ny-(rP^*$r34bo z(~-0AzA9Z9z9iJC&6-5)BtQGJ`%3#|IjAGJtW_iaQ9HLW1xA|y3kdZn4wKJ6t%SD+ zt%aEkm3eYSu)Jh&9w~Q$`Fv>Ha^E@(T^3x%mM1`lD^Nj+H06+ULQCFMo07brx@Ge@ zj!6AQdvXME&uxw+-|K2^kwpjUpQe-^JJVs$w};kr?vjLe*l&&V^WU(fvzJ`6V@$Eb z))LZMGA9&p&qqOdZN)5b7wLdW{!AEy(tX!8 z+eX6sDLhu^4MuM=zPUb}c3X1gVFjE5^75V3VylsI7iP*s)$HV`)a)p9)<09~NXHs>-3tP(S>ehSz((%{nO1sw;Bo5*%3({PK@SnRH65w0PA`Z?YZv*Fx4x@_ zfxn(btfy|WgU7rxSbwydh-~p<;CGr%-NDaR~!pLdM7as z7V3@BV87Zdp$GTf*ZX@F$-n`Q*}B-8@r-yPLts-@4`x@Gb8vxuiy{dadcJ6Pn1xF; zbef)mQ$0{L+g#p5+glTk)Aqzym$M;E>b6IAcU_%O|9*havwqgqSbo&bx$27EHd3&| zB3I_4lA%W9u9(wf3p&}kietX1OxY?eqm3kPVK+;FZG0R)gJq?Zd7u- z>*I9n`EGCopZBk|w2tVRW!xveHZu6E>W*$9!M$C7g2ZWrv3edXI5Atqb|p&eM~dPm zs?SRdKO9L?z|zMarRbCD1QY$mI%W2?+~&NjgBaKeU-CWi&m+FTOn{Zo0zRctFil2P z3C4~3L_z7LApa8tO|+AIZ<6BgO;Yq?->08A9#ztUHsUWOCp^nhl7@Z&e5#<}B|*s> zf+*>0n529PWc-FFA;L8egr*h5D_Y1?y?>0%N$s**A}5ObWRdCjFEV*kWc>Xt5uYk5 z`~E~tCi!%vp&9>h_`z;YG&rau;0WoQ$RL7cDWk$T%6qesYm_ z+RV$mK~Jl|)#jDT1}|4OyvR2hH~x#|38;iPXVVVnWAU_={);7AwT^O5s_I{>#}Zcb z`TfiMuU7dgzwMrv^3PtbxU^7n_cwRb?wNf=-LFJUT7M~lP6t(~F~h%75u=8#;=ige~%xrWuP$!tm<_9!5B;V zQkn57*rOMdHxE;1VHTGED$3~XGb28cp9EfvW6~5N`$5b!lx4RMLu!%9q)s9(N7KGbB0R>tP0<#$)bfe9?ZR2vl;w26LK{= zz7cOJKo14JLt?*&eCwqNKF%_}o-?*IfyGImq*OfR*x+y$%$%=rfN2_NR~ny0!g5V7 zFZyQ9*~9oEB70?Nwn$66291pPRFLs~I}X_!=z@7NcVKWEQvDSkuZGc~5o;LpIh;yG zr)B|(6^pMi$ifs^X9*otIM(=o=#{tO5h{j5X35){}WKbcbj@YCuwbVmFHshf2 zGiW18W|yJJ)=yZrPRZ7w!$ds22L+q&l?4M5?L+Bo% zPVzM+60*bl?wkMWyKnyPci;S%-+l9+e)r8!zWe6)<%Iaxb)%eG(o^raxAC?SNx31ua zA!ckGc*ocm7*Ea zq2ycD8zT7j#irIZ*2dk+m73SrsO%x;jp#%Y9wQ>H7%AcRMZ>>G zsjGtVCJpZgMQo1R5%KB^OIY?=w+;bt5+N>uZwtCw^o#W?-irEqj zw$T+uhwAT3L$pyp@ha}^1Y}o$_9_&${jdA!^}9ot{Lc8JD}Bjq&vy@PvA1KLP$tD*0Kux~ ze{`-zyI47Y>(_b`x;Ni8^y$L$y+)W?m!?@3m0Z{rS9eu)vD%2Y6b4tVu6rKQ!sOHnuwO4ucsjkgp|;oqYtH$(v&HxFD>k$kixOFF-Q^p z1Lf_#$3+q!4^jgeLP#qtk^mm5!-d5~O1*UnyJMvZ{0I$Dp9lp+BF(NVNF+q^8>I{b zi^CN5phz>KQkcVl2{rT7yTPC7_i4ZGjS)tOos{+{Oi1fXTE5h~gZ5PwGr?h^SBvv+ z|G;)|AF+1s-GDW(v6DmMZmUZ4h+oj;$B#NAT&`diC{t}7m3u#LtH8P zL_E6Ox?zvB&>`vE!NFmE^Fiz~sXudKLC(7I6kywujngvH>_)R~Wi!2?)uci@d_%0B z7R6IzNGnKSx9Y2c#Vcb-OhDZWWvOq69xVH0g!#QyzG`37T3{%gTY~7Nv>~qy&S?`K z%NVp2Ut} zVQo!85a@g*xT!?ZR^Q@7)yMY>!{5c9P~Smd4q#h6<(uk(zB$+i3&!vs_(r9!$Sn0l zK4=SM(2`-qZ953tKYxp~`$h5m^Mhyc%1pWDaUZL(sh|JELge=_5tU*Ww2Tb(%Fnme zeorI=`+)`HJCd$~{N^O>Y;$#SCS#F=8m~*a%~+X@@Qh=wa{(cUYvHbma>B>wAD_|o zED-jIq=)Jjy)9NN!FOM7pMUPzU^-;6#apjE0@>%gTwSIG4yE8bB5ELNAb=qhnJ)xK zu-2IH{NVLew6d5fQa3i!(tSYFSCtUN(idc>KG%^zjcys#7rKvmzH6kD1GTy$!s-|D zUGo>;9NWM6W{*Gr=|3uv;Hki<=~-@j3}Ld%Y>Lj}&bNFE6MTb)_~!;Ks%in2zf{pZ zz7#cSd*_}-MS;@MQ1nyYk+bac=byLGnAH;l1;~cV_~?^qoF^PeVTX7Or}P@KH+klG zbl+_nlAv{q_hN(4Dcc;HH5tlqgcB6_oL(cIC#k20YcjTijv1wuL?hatO%B3a`tx6AV)YiLA(=9ZjkN*S%{@RuQ?2fETRmSBChvt=)Eq={`{k0bQdSlL zjkDyOlF!P*=nIcPbS-<~x`rD33s~ z(*k9|K2sW9HzSM(feTt{sx2rq%xovc7@zFSMMsM76)cSh6*Je_fF$8rT@R){^z({y zKGXRUO7ma_dIhF?x9@d6C$6FjNk=+2Ts>~bF22tGOt!P1<~M; zWG(~c&PSF0I?RmWI4G`d_5dPB#g(_Jc_UUbQpVs|cEHb-g#HPYqwh%sS4$5|Ve;c0 zwvae@iO-YB**|b)#8A)aBS_+Ifm8Kq5Jf2tB}by;GOn&@pT8}|zG#j%VIuqvUJQ$v zD@0p0_6w3#hrD3LF@&elj-=>@*TnMW+@p0!w)YK;3cZo#H)6H&_B|rM`?ALgUMf!T zDtFJ-CJQL05P0DOj}|BRh5{^oVRNAIFw3s7u$8U zEc8a$4iSB)fdU9fbbfs_>m{tXBTua49HN`)g0u+u|I~KX*@yd?(JiUXso37*5CB7OIi={C6S`eU*9&7K1gB z;j{YTU+uXN22Yu?ION^YQ>0tWjw61XxX+BeZ1e^Z=WO-U$1e0?fh7TEqz6ka`yAT> zbO7^-^oP7&R`99H{T!PHKC=YF`Y-nE{IDuddPRs&4iR$&1$)Y z*p`;qs!$T8N{%|dJ)Mw1-qm}ZF}n6pgdiA47@ejjfpW`W-|nD|$9z{;7A0E7?g3-h zz;dfIQ-L1wI~;Ibg32rRh`MX$j*J& zQrQxQ$W2r?hly}n(1KMc298M7f5rbxE_{yodo+57g5*8bmvCj0RX0=pj|*8EAs4Rj zCt0oiUr{l?Y+JB1nOb#~MOIgRr6GRQ@j8a|&^#4BM)eSQkVz3iCg9XK^x{mrG%q)$ z*(z?(qWbW`K3s=4yIUfNpdNxob%&RRXfz$77Apl6o($3(ic#^|RQyEG{-|?!Ls$Iv|+llZq9V-|~3U$||Ff7Q{0RE!_Ob<A+}F5Xu)d-iG~&ol__6AKLcK7pk&-q%o~UB-E9R!D)Z#2HF^ zM-$SY^zk4MnwpFp3iPc&p5Ygr3{!F5Ke^TCNNir(C^fonrc$}`^wj3<2N{x4KP3B_ zj#T5{++<(@FY_`-`u2org!8?y^mqafja>N$-t1#=9ExU(^Opj(?1=koco3u4enDXT zY7YhP7=c1(+!M4R|HAlcTIW7j8ZRPyK{~HV#O>OJp+O1{e9l-d;^hhWu|$cEWCYk| zmD5uQwqS!DT`hc?F05BhNgw%z5?zsCplPdRZQ5}{SYqwgK_gHnVYzVMtqXEGnBy@w za#O=Ns7>zT>{G4sa-2ExVq}&Omj%IZ8s50^LU*lKZB^ASB*@;ick7aBBmj0Y1RO9$ z+`3z>NXwOf5O9e;=Qy?RrARHY1LcX}WDOD@*{ZT3vb0=yxUhy$QrWHufO}~7<}j6! zK?cFRbGFB9=|HqCq0n)v8DXv*VSTD|v%(2_MJBrYQ5qWANVENoUmc&qhy)-Q{PqQM zT`}_`g>4SnMpD4776XJl(E6G(N z2s=%W|IP?EmV8kT?@KN|q8ctfiuq2>$Aabz1CMitK5s-*3W1qI>z4v{&%@p9R+Gc% zy4=}yn^7=>iZ-XFDm&fNZR4|)?_exHo^lBI-f>&yhvEaPFw^BPxjh7K)FFFw2qah| zQH!F+FgU9t3xr3I4--?SfoKAX&(50P9s}8R-;mPbK(^M?gyrDI2+XwLG55eZ;<}#- zbmO_DhU@<3Ma~;)xLuFA)+3ovEhq;+_4XE>z|-h?OoX#g z>yS>E39v-)zC$h+F&(%8GX(X9F8u51z=h&M7gv=EZz)6G(om6X!pzX~PRPl!?~%(Q zuNR_=6!Yt;65XtWuXPx&k)gcuC^dvHhed{rUXMsWyQzyC^WjFhfs`ALmP8Cri-}Oe zJ{qk^Z?1(}>ORNUmTU6`g-ctU|M&+I63)=KJueBr7Q{sN-O)a^5TcZXkv8y$jHXMH zl`s_cK+39GT#h)h#8HA9(V~M5^P6;|uy5Xs18Z7)%pmFDY^Qwh+i3rPi17R;6HzlqHPNGKbgq&1UHWD-Sdgr;jPlLKH=-q(zakH z{m}O5-zbZ@8QSG8VWX`sn($`cpiiM(nrQGly64~=VaOeDsf}f6jtpuZ^mWw~f*`a+ zWZu6nNvhFT`G%BnlQ?|Lj`ma2@qx9ZA1L#;g49P$)fa2@4|_0?wP4GWcxx#T;f&$s zEv{9uyk{L$_~n`$J-MLei%CQ%v`K%Zi5JBImd>1q(6m?i{bGw;f;2!#RQB>{ zyG!S9wSLfBLCaBlW}SE3{THl!aj>eV0&@uNI(xEC>X>T6G-(s z@zGo6Ct^<~7R*{pG~H@}~XoPVzh^Iz)DkIMW~=QTnRy%So`joV;7*?wHc zi&A-W!wqEWh5KoFRc(Iwi?rQ-QN1Rb9s6dkZuCg%H5MVX!beL zHAB)sVv*01hO8M@zTi4*Fu+TQ;Os`$aF#`S892>4uCQFrokbBzj83vBH_c+bD4S*; z7bFg#y*t}bY#Q=Om&@8D=j5`~m)4$9P=?HLhIu15)6>l33sCh#oYG7V^-ldT7zFrd z0fVV7zM(g?l~7yavp3C{U7}}2w^W@(sY;$?#$n;i6sa#O=e#3bGc-wtj^zHsU;peg zV##;{a85vlqT9m&JR13clglR;G*2xK?*a?6kll~JVZ?6A!tLl|<;{ITR3qiv0q4Pu zA&e4l`}TZ1)YUV07mj%l+=$8>e&IHp^HP;y-Y9Pqn$ z{%vns`g+ZiOfDhcsL!TbEa;uDKaK^>a{A&gpz(qTwS;5E5=e-8(vc$z11Vw9+8-oR zVguBB5mE~;A&9>JcE=nlG?_Bw7gEx!@i&JuujAFrkDe}RLLAze%Ij-!G_Xh574l2r zDZW-&VPVGRMpJ5b)uXpmh(m3+5lTP($y0Mn@6ozoG#qIkwE3?~fo0^$KYHxmn7UY) z5~H2i+jHJKzcIE5u7eJcf6MN$sTQ!94^QY6y-$qZRA*Dku3mZlFF2W%MqX$LR&O2% zT=qH4G=5v~A(g=%oLS^qBhDi_oFS0Wo0Y{G5ht__DtG=3djGnk>IjFklt`IWSu@@g z_s{;yXP>p(ntzD%rdpB$Q1>Mtgjf9&ie>dt6dC*b+U$$+78MrF9rjcN&oTso%Zsq3D+(S~2KN}6PTXd&nf%E!EOd8v{N(~XiK(PBEjSYmoZ-_l3^jDa1@EWh>LWVT2+5fRL8>fAOV$UG}4 zNL~{X+|Zn_&({7-!g|FwE*iAgRAp-}x<8Q7vp0vP8-(B#VLU71oIBqSnkWtqgUm0q z=+9!kGKsT3Hx{lJa=%>&XQ8C$ z&zIM~;QI#zFFiaq#M1n|)7vtv}u-FC=6aOOHRB+5GV^ zi{jU|S^sJ-lk{5l*wE|6#J}W5Eke>)H|n?Q!8Iicf4O>yq&EzPkJ|U++q>!i{e96L z_FRH~q7;Di%ou0^@fkx<_(MAPmJk8ELg~-KBGh`aL6iG11zzSj) zkGKkhkOVCgF%ts8^ezxu!juk^BeKC%c@T%kyrZdi9&xn%3t^T;FbMA?BqfPQ6pY!O zPdPC;r1?DDsF)xQ3HdV?Gw?q`4)ge2^G5uRkuWpPQza=3f;5Sy0xk&{(J)muvRrW~ z#%vyiJ*-Qu5>_7~(TpYjKR^2HGh|#=gTK?6{tzqV+DPrCvC5+zUBuonirP9ed0_kxe5{QtRtZNOU_@Y>6)s_d%l%Bn18 zR(8E=Zzxe3jmDB8$+G0}EJieCNlzMjMnh?4Owl5YCIQ0>a$&$r12Tq`xbe;#d*kmr zC-SeVy8Av3$H05HtE=Ojh&XW~;zYzb->H_Hho`TX{92*w!8DYoeBOFWBxwIO<#&}Y zp#1x+B}(M;ZIBxWRDv3gSqF2PS?i~7)cF!04mrbFaFqYfuS+vyQ@h-`-l*N}`_335 z=6GDR^v*4^%bHge7_aUNK3kCUIx9^)Kyj=qxi6rXS;?z|V|B;~nksjjUG>BrS4X4C z81%Qiy&PI*px{+H@$4jKRNA6>HE*^>z+)g49Q(JlO)~4Tc*x~xbK92pdgE-G5i@`a zKi-<({az|Y8w|R78ol3$>~cEp-PKjTDGR#%@}h*7I-(Z>EnPo-eOY9Z<6cxk2jz`; zeZ4hOVThjYHE(YXQ{Sf7hKY`;**-tA;{EDAuityDx-puniq1!^J!V8@z0R83_0t2$ zKIWB-&OTq|V0s}P%#K2wMyvz2X}J>=Z>Ag7mV9~a>Rn~^j+fHMi*Xp~MDvi-HHi}t zW4~W+Sbc>?TAZrv^e$VkV5g(V9dp{}rAC|(r*EXD{zV(&t_?Ns@|W9B*#b=1r%&kE zi8E;Z^a-ZuL$P}L>X9CWKW|kx*CV&Db3v~L9jA}14u@FkjbEv^%v#MC&17m!A;;kE zx}ak0v-Mf@&^6t5#NDjx_VDbYtw@aPoyCx04*imi!LfSOe;N8No}kS6oG)1i8#}ML zKCN;~(u}I>Z?oK#?KWQ&bw2`TW(MP#>CXP&AuUB8E~tRVVh=FCX$OiwYuXPpW^sPV zJGA2l(tvHV-13nP{ob{;3SfjsZ}(q*q)FGYl^0p>dNTTMcAqVXl8z--Jwh+)z*dy) z+J+$9n~JW%<662ueq;^ME)u&>+-~MufOM=)yE|-fP`>004g_Bx^D|%J99?FMY?m=q zH(wU3d^KZE12W6%b7p2$?`-{bCw$M)FdGTvWfXQtMit)0e6)of2TheS>R*V zF0dg_c$lw-cA1~Xi5&JMLoCk4m<i>3OvpxGwg)#Ly_-gl{Y9jMy@l>uw?DG`ECW} z$uAkMVXHM4!&+8QF+$(uBYq>?oY^W@>iUu!6qat%kSB54r;}#l%-fz!bTzb5R$w;0&W=Mg+rWRheJ~LW!oc22*7tM;x+VE4%;~ zFagrFgV_?hGdAY~!+Y#ITYTp@JF#nbkXD`-rFM{pGerwAWe;mP4qDyN-cAXA|C5|ALS-wJ<{c=ml0`@q; z;iHGawd#!BNtWWffZH*ruUZ zAm){T>uIg=6=izW)05_mV?2DmKS^Wi?JVgip-x>C5jOQ|Tb>DOv=Shuqd3j@cD`8T z$F8U86{YK4la`imB16YgqQ~1M@iY~im1k>cD#s_3@mWav#6@)~iN9c|dw)>>mO|<9 z9I((>>I2@){)^8N$Y?ix0mt&TvottVKIVjCtmqBB6wmbfc%JcPJ-2v&K)bF%bA5SI zOatHk|M_pTW|QB2DL-0^{N8$a`jeUqE4D*u1CxfoC17-{WtnKV_k#7YERH>B0~Z#^ zf)@rbSBWG^UrOmLR^elIha*7F>l#8>Z0q(u1LH&)hshNy0-yK(yn+85>-Y@rI#5&v^<>>j(d!8~os5>Bm-wUSc>3$QNPg5jg z*%kCN2qTk;RThU1kaJDQEw1k$TU~XoI-}cLocCdFR(Eanoqt%iwlVX$tz7*LMj}tB zIl;zOSyyid8&XzH2DLM|Eec^eR2P`~IKh@Rvy_+BX;NF>u5%ndO2!@^&pZ-tB@ljE zo6p2|#l91p)#V~QR`ss3L)HC@T3-6?410W&nZWX<^ejn zI+t7-uUGhf9Sd#dt2$#4kJSqHRb}n7M-d`pWA~4IU8lbNxevDb_pAK<^oDk%n&931UNJU+;RC!D-4jJ=Dfo#&XK}q)>qM0gb;Zl}ZFa&y z;f!GF+<&G&Qwc%|CI~OBn4^#o0Sz60iQ;V2MY7tR?Zu+7gHti8sm zR4YUvtT+8{TX51pr?7;JX%e5s?WO$iuy>Cg~v^l3!S;o>yHrUjTH~Z zIIvaaLUKW_Dl@HF&YcIrjHqKeb`LV%+YDR4Rox+z#-c0^0EaVd9|EcujO?k7g-8V^ zsg(2Qz6VppHxA&9CC?G9V11gY?S}6hXC5Xf#(R@hW39`lKWOx3Z@-fVWE24>_SUzT zbylo3qy4@as{slH^Mq;;$<}8bGv4TLh})}M>K5y&77XWM2yQWv5!;-n|Hnsh2RGtC zk$CQqS8Ow3yg=Y)M`GA3B(M}o=WYxsBwUEs-~COdtgtujUXqXN-*G-?Fe%~IANbt2 z#}-Zao<&}+8LEI%E~Z8x2^wQ zQCEqAPS|y<&QPFjWw%>G0E@)2Bsso>?(T4CfmOYs!*sUo^#(=Uxn%CgP_qsXMt+8pDtUFi8_IB-G(23mDPd>R@#>E- zxUT+}zt5B-5O@c~%Ob(t2~i{_EZCm7wJ1YyK?OFX8w3hPbI%o=eCRXp!H?CMk4$#= z1}KFR&TFh&P|$5bH*sS192rF0tqkEiu5Yn`*~{uejK2K75^J7U(RN7 z($wHs!gy+=4>?Bu5sD`Ku$Vv)jM2Vt)h;?deSOa>t^8cmy&ifZkBlsfSsqKqfP7Uv zTIZr%6+DvGSWoIL;jbcgB2H0rWZ*lgL)#W7FBtZniLlx?7#r8ds+V!W-`aea{u715AOQp7)HrdJl7ZaJW*_tV^46&L zLyuo?kuP{;K3Wam>3KJO(S)dzziOa+lgEZmJZAvG8w_uX7@1 zRqLXBIFGiU$=Hhwu89AyA1`{cznb&LS-cGxKMz*-L_*G5&7K&fk$7szz2-pc40xD>#|*s&9Fv=>g*3TA>Q72*U?2=LNh~|6I!5DrdUr%0 z_NAjPf8Dcnrx&zw4+x}yX3umxj9_mk9a`F$K{_GP1bW>Q(x~m8qxGw+;b_dJl6Fl% zrokv07#UIEVdMj+?-dPj7JuuQ>S6%3m1x7YvfC0rYM+!HMZ?I;qXPMFnRjLEbhQVaD+R^k&D&^ju}1=tPQh@ z(?;Zh2DXC7uTymfVwUnmOWPhHtYFkEB?*ld6!=>RZl9l)*u%@*7Fb{{9TU;?$c*T; zfaPm~-C#$;c1S>7!tDAppRkOc2wI7)d6#vZ@VEbDj8olheQJuDd*+0dh~cw}?rcNslP^F6xF(VSHx9#jd_JZC^%BBG+-oc{6z5;Ucpi|- zQ67QT2x9$`&F~}GfF2Be*sJ3c0NaH>hv}Sgx+v^vy|MmaXezizk}5HjriaJDlma#D zK;u)b%F)LAu}Fhm0q0~y9f5kfQ=tHfQHyT`5K7}khF&K;PXrKBz_S=UjFAjtX+F-R zo(Pd3BWOUR#BSVk^mTM*35YxUnaz)dIyEgFjT<_no#zi9fAk^yfA^TVzLd z>*?xbX6)s+i8YRfJTrNwZ)LvL%)(4QjfQW0~F&`EAMkrK?yK%BRhy9 zKbg5>&_3@ODV|Kep#YO6#nJdb{ae`F@-FGvFfVrbal^6RpK31@7FUsY4UBF zQ8?*sGc2xHoVPd(9;$2$!@6k~;_5`?DXi^Sf(cueAFOxKF&xB;-62~ZxlOzanagc^ zt^}kHOY2OtlL;gs4E}Aa*A~3o?`=%$%`UqqEWmkSD-qzz*0*^hbHVncS-y!y!Hex} z1!*=LI^4a`SWklUl`FQocW!#KvEp8h>0DVG9O~#|GPJbC@t$dgnt^FDX8K%H#Y-7l zjXzZuK`Dq#VQ(2Q-tL#1fm=9mgWYf~PvI6RSV>)2$84KzE_pTBhPUeiXS;V+w&J)m zE@WM;=&(#I{&%niZm?Ahlyla!TizC|3;Wn}&6_D-K@U6Sf{i!A&_Sbvcg+5D&0WDi zc3Hu+n|-ryigsMl>b%DRY58+McU!tTWNO5plU*@|#!19y@3O|htx z!#?BCRhwN~SGQXYf@PgGIoLPM@_=Oy7MagBZzZSdiP8A^UA{cF;;T2RL#^OVA*y^L zPDQrJ$74ETzMy+9y(*}~PJFA$itoY~E^Eu2R?oE9;KCY5#CHVqt6)`Q?tQ7HZ^|fE zE|0SpNTS(Gl3nMQY6966-k)BzJ`w3n;ASb`FYh53-m%Szhu49E45PAhRgMz z`0d&O({k^fdnxNb`|OW#(lFM4IJp?IYI?34ufmvqsB%R} ze^#Vki_BNgWU+%){$f48CIaA1QHs+>Pt~{Xw&S0#X9q9veOGhJPNKV>6{5O=I&^n+ z-SMHr^In!>cj|DXB#9@d4ljMFsm7}J=wa)n0goQNRUf?|Oo{czXa|nRgim8U^IlJ; zCpY8N$W#M~pE|Suj7|f*mS5hL>iu;Y|I@|$;1t?H$XScBWs(Ed)Y$j=-JNwPN|dci zyE)g{vTabFzBA2MJQ4Vixn)Y-)tSK*up9HeT`z1{;Tz+>ZMA9{!nT*YuBAb2-oiRM z+N*`UK;%b(0UQwZp1$^fe)*s9V!q7eW-TYzoj|VQ2*gwrgqZIT#qaZsE}O>1fN>}_ zgF4CugKY5~uhY6DuP|=W*(D*ZcGYdh&xE!_6=|11^ut8agbir=Vi`D(z}$a zvN-I{?tki~WYFVu!IDos+dg|GaW#y#0`tdaJu5Y@k532f@vQ`8byMGLL00twv)Z2I z-!S$=@8Wvm)_Ipf*6J%Qc}u#=ois{EOGj{VH*vD%7KEwL6pzp}+4a5gMTL9I+1c)v zH8p;5~gQILY(|BOOgo(?TVkaHBZ(rZ*Ysjh?z{iRtE{!u9*W+RoP%$LauCZ>M zy3-qt8+sq~bdZT@teb?v>^DAZuI#6|lzHcy<20ndbv{rGBC~PCf>DP_C>CIDZ?+hU z{KP!&E*6VZUUsqU23-6HzyF6n`mg`_zx<28XZw*&7(fh<%gm9XMPEe89EYu;R?rfz zHDz{c>>vK!-~8+U_LqM2EC1!+{N7*u;J^Q8_|Ntwry>7k=1Gh|M-T00f)$vVjDC;+ zk{|sy-~Qq6e)EUF^G|;8i{BtgKwm4Z*mHWqKtXDkAl#kpAAJ2^{LR<@;79-9mwxc= zuShj9v!-ih0}bC-9!$C#6#SdN_oqMn?Z0HffLk;>>CNetY>I2DV}&+grs!sqt*Vp# zgTMUhU;p+W{pfdo>tBBJn5T$8_1I3 zr3?f3kZ%Rqia^yr_>Eut;cxw2{QK9x{7*Y#SBagpCr+`lK2+s{q=T+19TH(CH_<=( z<=^_jH-Gm>|J@(`=pX#kuFaCs5=`Qr36ZnWV|q29o4;c9Uakj|UJo@rEiHR&3C`2bV`mf>Gij^Q7V^kAl=2pqb z4v3XKEg9b`8QS3t%lforbgLwmK&(Rsv0TczVy6d@6b$L_$AT!2f{x-+m~zgoa)F)9 zI{XS#j$Up-a#0Sln8ia_iC85OQ0BpU00b;%3aCa zb1VZYFsatP5|M9pKoD9o7)l0{nz3b!r8!~ij|z*3+;lYNH;Sf%;IX9)yWF&_H!drZ z_a>5eN0Rq$@V!~~7T+$O;j*ARE=X~yZ~LqKys=bYY~@r%ZHqVSf+!kcZ+UFJd}(SpeQNZ#5GDCVF>@k8ncC z&3p-InEp|5{MHWTrg%$l>WpVVT8?rdwA@-a zI&RCXZDulA^`0Wai34BK%U<7KZ&k=ZYjx)9{Snoxjv8v52yOc5T6$2QVR7#(NbJR# z{`Mx{(7Gz`y51SqQQUJ4wOeG3;dD)Ba89pxu(uz1+&<5+BXzJaQ3}%p23UO&l69*W zDQfD4B}&-y$ASp!ag{$n>&>$=>ipz7-$mzAMvH3E`Tc@F zj_yU?Wxmp0nRnnm@!HL*u#UbFNkxHnr}Gbt+_yNUbqcVMOwh}$IcVA|hKLmSgVtnT z>v=t6yk>c5o zBE9>*$U4j?sc7*16W_&<>fjGu1IJ~ZgHd*xVX5w>PmH7frl>4Ax^{tqrZ;gn{7FAP zUN>t7&ZaxvpkTYU4C~lts*bi1pdN7tzS3plIk~;#r!&aQ8;{FWVjK)}_ZKIVVV897 zU8B=$j=lEYOIpwaFRVTi;2kVjIAc_^|M1^_?>F_ybGmO_BJz@#?gHYoL3^fG>Dx;3 zzhq_cVbRzwcD{X8wq;Aj#$HztKyl)xWA6SHv)JC`Tnsyq|MBa^A}>p(4YLAn&>3Nk zj#vq0bsA&mT=AFde?joDSHuUf1Q}_>`D1~Zl5RKFyFncV9mlnwX|}KxZ%F1H$@oZ^ zPaZ7t$9!AhT)y03G_GpFAXhm(*McjWngsQ4vqqWC^-p(n+9 z{me@S{+; zu;Px7V^y}5@P+VIktjySk=QX^5=JZ+cGot!Gz;HZ3-O&ZU<iL$K^K#k3)E+UNaC&9!boIgNkTndiUSl+J2Fu>^h-jC~&bGn|TDJ!|>lSAB9AF)z64Q_n3ZV9$W2=<-RPJR0mxas8yYRjQx6C$+lpq_EggTD~nz-NSfGo z7iK6HX{G>b=oi%-E&m<;j*4c(lQ>1wU(vrP9Elatm@w>(TQznkt@K`IAP?BsN>(e0 z!`naOS#;4__no}t(597Ja$Xy}yrRepD?@qFM>I8G-FBTBHT;z+CV=&QkR_<=N^G{F zsnuQINZE2wb-R0YtCGhs@y6T~OzfKNa&h4rH+S8FUv;E&n%S--h(d5h-&r-p$6J&m zx8X%e*ww|$%BOzIS;jpMl`pW`>xq$01dSwaOfyd8^FsPv6HP@^;wpmTQiPPx%keBYU1Q}cO z1<05r^9>Pi#j(bT-p;zUYAw(Fv~~JhK%40Rx?4@DSR@(0B?jFl!{&dBD8>JpinwCJ z;c0DMVD=_kQEvUMrA<%B1+;OI5e`PqS**}C74kA-)2_I?byunj><6oAO}P>R&>s3n z?7yy|jH)*m4NR^LQ=YHEa=V`N_mR@bR2vB*!4hqh?8xkG(}t0nsO|%fywE2-y~H$I z_w8ym>YzS=j0H22r(y%hmC9I@9=(Hm`4dO6uftp>an~04pI1crb9r|jOhwVvabMLd z*+_TU1}*9@cBPu=N~{y{H`&fQR41m{yu95dwRfAktC^Ur1R~w%f;lx-Fd}l8#tVtx zjW;$Ft2yr&FKIf%;?$B0WgZQ7v#emlobs~S+|&|zLBHrgFV-}DJLT#au1f-FGGdRH z^pgvFf}cdUv^F%PM2B2T8rAFec=8@LnO)NPh_j2i)9GO}9w(nF=U=H%SC{PFt9*Bm zkicHXfyNk)L>%_|&}=N@oHb&K9>sRtDXvgNhQgrD;#ABGwVlqzwmb-3_XHH%{J^6Z zN0ZZin1BhF32!t3N5hD@evd=JzJn~eQaPGO&Uh$>enm!gn3i`xQXO_Gx*q#c=Z>}J zmqEwTKqjCcQZ+ad_Bd&5SKEK|Gg!N;J_jOOtH01XGdc5CMGYe!>-_?P#x_CdAbiB( zY)$_Y0<&83I>i@w?h@Fj#6LOX(?VIo664D5y(P$?f{j-nGHn}g8V(p0>yZgFN6%@z z;-*AreEo+#TGf~}yt}L^4(vq~646lwFN=LrN4QCn0KQ>fr+QEVHEY?&os2n<+dYf8jH2HsIsH_DndoN9fL{YF)bu< z^1~?D%Fuf#eZKtNDlXz@n-*TwWBm=UyxT z1*APrg*3cfM+4UY6N{{PJyxlSgawM~OuTZ7gWT@MBR=?CIRh7Fz7aNZ^#;R;P`=DO z(~4`TF^v@ye2~$=Djryg8wfGDuvHaH0)?q#RbJ7>=~Cb~M$Y=%)}-5=uY{>1L>)2L z5^`;dkIAg9tNKDCvbMCCQyl9@j|~|N91^bOo1D`OW*h3;?imR6ERX(uf5aoDQE^us zrH`xjc(!@HceYl%_`=FC>BRsi>GmAd=R$@{Fd6BA)RuQsabN1zz$h6Q$yQ06hvL|1 z8nH54F0%m_r`jEkqTjcg$WOkpe`Gyt_|ZZ`m~)^g2};@ zdCrhP)G+JvZozS#A>8F^z)NeDMxY%xt6#4?H+_w=M_WLcg&pekl$xS z+K1*aBm*-L-RYW9o@w@(c8r80?k_ljGuE8$2k$KxZiHx>#)v zf)GhxIO|QZ?>x+K45BB-^M75*c4qvEtCnl`eJc;|VPvOsEX$!|ZFe&h&|o*&0eeJc zCv&cg@jSE>tX3!hSvcAC3bruioMPA&CAxls) zY-aeo7esa>rCcWtSuE_#hhblj=EOUV=MIX+jxdW%<0?jSp+Fo2(zL)4CMJx;zH7H_ zB?Y3uF%>0=&msxm%+}VHei_HCIOK&L&O;h*bC2~TB80T72NpOF(7`-p!tgn5_Ap=x ztcTFAjGns;8(_xnT=Wm60&KFNz#=yBrEa;|ZH&Mkujc&5a2Z z!QG2%o+OiLtm~dql?s?4{KC#^3Ov%E^mpxD9!&As|MuArJ`gt}Y;EhcqD^>`le)~; zk|Z2IXPMZWRZ}zu!KNzDy936yYRpxKLbp5=$ER=5wP)QH(1xe48Q2w^h%-phR@`p+ zW`;?%-4GmX#Vpay*4!=eHf&c}kJ-A;7v{o40Znl3%1SJ7PGF#1vSa!5$&sLXyKIHM z#$0E}GsG;*FdJ)FLtAsvv(1=R&T!N`2n$K-4SAURr&G~<_ZKA}*Y@cfCqt(_!*1Cy z4zs!=E}7}lk&ef(wyOsd#Gn8)T&`B!oXXi_T9gPurnhA?H2){^v+1aZJV4*KI*wQyJLEF#ZOZ? zGZ7IP))~wo^PO~mw#G(&BupzdNsWoX9+hF%FIvo&{Ja0~SeTyc0BFZLPTB~}0&Ksi zt=LwbqG{+_C4a8N6z^KMH*&1=+3)yh?32eKvrD+IqJqLf8v3&{ZW#;V)K zdTW1?fSXu4qiCKuFBNoyITSXT$6Z-Zv%uk~3`JW#;;hDOP|7l%`%)}^p%@r?wx7;} zuB4CI$COmN>S4*$xNod>+w)5VPb7K16!Y@2eNI;}us1C+H@V3*T5`GBE5Ar;4e{^u z#k9kzVTh6;rdpi~66jWP`=DgD?;5DZ+!u;zhgI5AGE(R>NTaTr2II?{pFN~KVjM}& z{dw{p#kIxS6rqTjjf(N~8<+w|j^+KK=bK6?=lN2uH^<2`lJ-i$L_xeWES-{?1ts@5 zGaCT}0u&R!Pz($O*wyb!ri9;VdFKUl4qH!=iFQ<76SZLYVnNr}R(f4omrEiM5}8^} ze2r9%n}@CP4W;WY{(Yq^SbJpc^u=8}@5^s-5aJt*)jlr9W981HmrH^zG&L9%_Uvs@ zH@tKxvyB#|>S9kUN|arcV_`y0uaxxXfh}sPML+XXAADf0i{!eWK~qOqBMcK!6fwQ{ z$Kl9)%GMdotE1%T!p6UznJe}*f!$1}{7}O%T-!@SJHpZEBOKgtE|{5X>NJ&tyebxV zZ=7Rd@3Nq|4|nXC3n?S3=|j&DAN*dgG?7$6oS0_TU6;C27}hY>An=66ka}VcT@)6R z!((Bdc^#WMmJ+lAN4p!WWdrmL>y$}kh~MQ!i5*CjCxykZ3fMonEoN|t7vt2)JgSoF zvU7Hubytod3wyB*>4g#m<3eiMjB#1L@sqMXMmwQ2A}OzBb3smJn5wx`l%gJrrs$QE zXruQRMHN6!iU#Bgj)5m~*1nC3D)^j@ZsQ33MTXmWp_~y7*KuQw17MVB3#756yU{U4 zzjIkO2vL?9Il{o^kuAIuuYv`7QkaY-mIlh<+$`*Av?vQlC=78CGmx@~E(-tfZ+-B= zs?P3?);Y&H{4y3ugpQ}$&hS80LNOl>zhhrM384(+J z*MaXKiCp7wDyfa>%gzg-u5ICEK&DbGH!ZOi(9~*w*&})SxC%TaU1VzFSnzd?&mVQZ z%xQOXYP!L5{fg9|jxNw-R!$Ns9#L!e(AHlZiC^~GP$#D1Req?>@@PQ}2KCK@!-Cs76(KUhQ(=uqpl0&zsM4_-EJrql8z&p5TaKJ_71_qmw>V+4>5iar) z5*M4eMA)k?VAz!KzRCwbL2V}Ch|>#bvza*Xi&x=pxz5K48i_RW#ZLdQ_*}%J&%_}g z6Q9pSt7<`aJJlxYhI4xeVu6F-g2Ms_piV)soMHazQkq$JS-DhQjYHKYvd>xdw=lfH>?gQrjVc%bD@_i|c*Nc|AD=Q6(Pw_X%bWr_~V>r z3+Sv0F7afx=cxJ6Vl^03`F7%7iy#RUcih@mWwk<0_e{BW6r{3TP<60J++OrRdaudH zvSq#<(NJ{B?U79kh&0w}(f^BK^5j|i_AE?YTVI1$INxH~xR6Nr%nXFpwW?Ysd0H>d z)43tfr*)?bVSm5j4}7G#~g(jw(*dG|J4vg zvR>b!;R^=N0vkHT8$|d{<25?sO1;r2!&i7>%@VYf zz@Q0^2g)N)@r|>A+W?8DxzyjQtVg;CY=-IyH?_M+3_Y$4#?XcD%w7FM2Jt zgszg4>Zs%5`Wkg(6XF!F>=Z}!$d@I)p3;qGEs?uZzT5z_x*MWnTVqdpqoR}07`D-k zU4sauOrOh7%uKOA$HhXjve05{aMWW!8~T1|1fkaYd923A0s{#PxLD10grwU%{r(o3 zg0}6JrCgSNkx3|)`HBe_V&cz5?>v7V@;o|I(|TF8<&jV0&(M6qO6M_;`m=n6ql{J5 z#tlHTh)D@Ao{KWiHhHmsWF8+Pl&`Qoqd$*mj`6?)XJ)-)0ZAPu#J)RET%u~!OakAC zldxo#D=ThtCweA)(UMcAln;0Xo7f53zmr7dI48cuKMd!wM~DraL_gNNSlF2!8RZFc zt`c}G9J+}?qXh0d$DK1QKc3xZ^}ezoe3<1-Le{V;2d3_;j!ZR-!jf9j^=Iht9bNre z!n{jr}{6mp@5lgf+SgBkZKSd?JQ2!kuRjLJHy3JtccVUR+J zhZW^9P3FN$7SPL*)B5-$*K}}fjw=zzSeQcbau#BwLFoR886bA8wZPT zGb!ddGeIQ7P&5T*b-R#wS6&n{|Bj7~>rPTU@fEbK>G4K?&n59_o<6y1KtS~|oIMQI zl78=+EM%Xz5BX)^B8QH~Fe>eIM#Gz~ewB4sG^%geO`U*2jD3VUAIy$)uB)1Mn+r9Oadg`WjbC5_6>SfdLYM-x|(!ra`!>k^~9peS}$3oI3 z&3@;zAAF!;wlAbWWnu*=2Vn#F>dxQ1$#1^-Z6>*GnQuojav5NPJ|&{8WvR(QDrZ7^ zM`g$7KUW6cl(i5gsvv-!=B||QPTfJU#RKz<4qlcKH=r5L4( zDg7Z^V2-1EPv4}UlRy9%V$b{xX2BG+DCT8Vl}#CO!I0Gu)3>t6^s)6uf^6U7cd0t-H?GZ7EmJIbV6YMDgGK^%5o8{aa!|@|&{V zXV#lt#fao1)>MAS7kr}8*92F0eW<&Q;sI1~(AeskZ-hqv|} zj1~Na@H8NiA8!e3+}6?(e$b~^{rGmq13sNtc+a=B|LR*`{oc2}_x11p!uS5v;^)8k z-ar1{x4-|(uzda)60T_i{c-v9^{Sne{Qg(I_va}3KYZ_h`rbeP{x1%No4ow1Z+?6K z^vBHw<6pwhKmY!(j>|rMwa%aZ?6Tl*;^()%_wB#>_8*Lzkk`BF>6??1-}|%g{g2=O zwK2a{@$`*LZeRZX-@&JEqwqie{x40NnjJQEwR-yc@v^bs`{wt5;rqXao=wECt)IRD zt(%pZ9Ev&I9A(%U^11x(pX{?-Kg+?{d~ZhcJAb0T-d7LZUzilH?tam+`Ocrr3UO*+ z#$L>D`XNDa^3~Hn;;cRD2XMr8#E{f2y2gI18f=j1ZFszRN%#g z$7F;b=oMFs2Bsdv-sx}1_^YR{(l(jhpl+b*JOIH~$cs9o*Y(pM4!_C;!}!-?Kl-)F zKOX;PYH7q$+l(5xAGNTMCeq#YzRjhL#k7$osSBjlGDrRLJ6|D(f(*XC_ z)5gZfX1DmxSB~HL%8ZsYw%t_$76Rakz6mA&1s%=-Ak16*3+b-p*CwNP4jpHTr5U8I z**E0+v61V(9yNJMuN9IO?T)^d_)rQt8^TCe{LGi6SQYnG%O6@jKf$P39P?S$a8>W? zZ|(9qxqaNrZPbVseJ|RPmPr6dK)Ao>3#I3YOXWtzC>BiDw&$0q8i&c*KF?qbK}$vG zpw3lCA>2+$<%5d8(@}nq!OQrmdHTHt)U=&7aq*!O8mhgv;UqdELQHOEbXIQT@ z@i1jiBt)CHO>Jg)bW^4+!3Eo$mNAGNC8hH0^^ z)zc^Dmtrk{DVZjd-{J$79>!g5p1xWzJ`Z2+W4%^> zA6jQvk^I?n`;g4QXSS$w@uM$AD=LJ9TY9T-41E%4A_CJ5F&-^VvU`FM~#yT-Lo*%@Mq|Dd) zm3)w|T!%i^ZXo|AP6Km)z2SS%a?9r}Ue&C4ur{E%8bx`^7xGFQ68+Zo>?E`!zH=&= zD1#qdJN4#XGLwwJl_Z&Eo(Nk)Koq0Vm-p8soO|gEi&)9GNvm#Y6`8^kPUbNL%^^5z z95C1Lni0`3tE<(SPY|{uNv3w>GCaYR+vdcXC-H2>hsP49Ssq~d6oA?Z&g$_|fG!Yx zr-|$|oCiMdesH+an24s@n-&D71#C3Cn56U6oeA_>T`d~H-|*$ZR`P_$62*v$5&`+-3Dn zq{P}48h*P4cN=b?4ap`_R!ACQbPgX*NRZ8^u7kFVtCHm?I z!^>1Vb>~q?r{k8u0C{#?5Z8UuuRtPxWdvfTXf~0leLi<1Ec$+k3z0)Q_AO#gVN;qR zqK&Pnv2-B61F5sX2R9l7avc1n4kt`YxnFpo=0vM37Qdyh24{!@2Pap z6*req8=NqUw~7BKhK_|Y_6lH&e;_xXX}ZNlf;zCsO~KSiz?BF=v@`}scUI@SWySQ_ zR$koml9b~sI!oZ_SY^iEg>yH=8o~*qsfhy_EvTK(R=Pn#1!Oo6nhps#kO18da8P=X zpstY&==SANbZ9Jedr5r#YIk`0n$)g%nhB?r$C4aeD7Nnia-`mM)`lIUzFlA0rP8Hf z#_&bd%KXioqX|KeF)9&bF<98e+~SBvMq3$BYIHS`nIh3q@*JCZOatEy{83UUXi2K6 zM*wM8bX@c`ab^-lwcrh{%su9+cSVSyYt)I}Ti)D{XZh+RQPCfpu0-rgDvOC5q|}Z8 zEi8CtdfF660v@oRIs;Pbrwf%!Jn>b+2w*{T1D*SFX{xJ4*H%Xob?RE+h&DyDJJ?(q zvxHYozL(^`U6Z9Ax{Ps6a?$*Ri5q9X^4SkQVB{{3cCgPGU?#`}Otska&oghTgNq@4fOQh9a0#8iSu{EG~9%xw;2<$ zWIADeewY$l+42Zu_S5rl?K&$g_kxh#FU)#1bhBr%rwi*H&KqxM1c)ZJ_hVA~Lhb*U z)B&Sib1V2U$%%+XPQ+V3{{CgHSGgvfBUCC-E+&0w~En=i2E*ZnGK#V z;%*NaF?t-Byq-8%v@n@odO=w1PUdaGpZg&nW46Vvuu&|lt6Ln0!pZE&oQ!<^VD6KPhE5+;cudi|K}oD~&aUJ=ln*Z6YV=v*nyq*J z2%?YwJTX+wiLZy#XOnOyAPLrPDV90fQ600(_nP5B=holj-bh_c-e|IhX!*;{`pFLZhPeoarNq z>(4f`?jD(0Ifr~Q4Amjl+;zIC9v}HYvxc5jRWtgPPqsspK9iI=)?r5&NKR9n>Gvi% zkH!!2zPq;D=8lnEM~UGVI5_K=?GC)qy({gLJWE?|lDDw89dXn@3-}K`)OldR)XA(x z4#8g39=(&w8=j@ZuOn4% zsykjE^U8mfzejB*tSgKzyT?E}Mj;aowcb({`=Dp621dHiiI$0qcsVoF%uvNL|Jb5` zaZVHvuv%hjrs7G#Fy@QiZn5nWP?zrx`-|#b$MlxaXIk~ZS1SHAO)!CgzJDo#1uUK| z?Y?|V{Ag)I2bI8tpBGIK9|8d;AchSO!)%24$Xf&6!H-L6^$N{JYwJ=1*f8&M@#em$ zJNn7jeWl#|^|TQuL8;w~FMH0%NX}?%pbL7%G90%1>PqO<#}Wzuk;RNT8e~bE=%ULz zTBVG{R*V@~=Rfhf)hCK|Uvybw>=z8d(K?f^PVZl}&eB9i2JVdxUNl2s#IL&R`k1U0 zUs$@CmSb_3yH)16($Ck8IBFdY--u+oml`4JCy`lAHtk-qb;iRWZRi0n`lSW)??`nN zb`MoaQa;-esN&46L|&J-`|4wLkNe0v?(I^;Oyf|}k#W7u77OBjyjZ3GuT-U?g|bRh ziG*0uDJt7BAeXl;b*@z=Kbc;d7+%+Ti^Fj8dRKcmn_jzQZ^VCxLt(~vzG9G*^b}xs+x5}o) zn$8dlu_O3N$AA~tJe9VxoWX#VQ3$Lz;oA-n!`{+;m*7Rq&8}D-y9)V7Mm@;;bYG>^ znSIJSRlgH#V3&1W2zpxAkI}u8M%*XYdnFct5~o{2PSjeDb2*b<+bTZIBBJrty@-cx z>SmWOc5TR4Ftv<>!lJ}Ue^Jz{=2N!9ST0>F#+t+jnzG3=YY9tzai0ALKl{N4I1pu+ z36kcKX#|WZ+OWx6SgvwMPZ#H7!-L|w&ewA8Z>%>=l*j_S`4I5XS$0QHD@&5BFq(~_ zctPsQZLnh*j-Eea>A8-je7rR3IdzQmW+{msk642P3xC2QaBs3`h(i!LjLG8dP1+F$ z$%xqXy^c6`r^Kodbj1!mxmFFLz6;^F{xCEw+;qfZ!MFw{f{A?(rwfm_SYF?Tblip@ z_6>(18ug%uuHZ$L6Y^pc8@}OyJz>NlN^doR&Xv3gFm9K26sC?|WTk^Nq7k1c=td*( zMh(f^x;o@`5JH-gm(F#Ap57VJ$FRGVK8%7(dWmne0|~8@WQ~Tyq$5G!k944y6r$Li zy@YpxsNL^q$CamUHxBWr?YsQrVp;Lp&<9W6Bzj(7wLk8>8wUL_gz<<&L04*NJ(S&O zrs{^DI&$5p{IJB1MA_@)z)78H&1hI=bnGw=6G!i${a&ozxM2=P*8JGWqDV zEsMKi2_q+T2%*he=3%)SFBfspsfIsZaTE>hAhBRk!k>3GVvtA=6Iu^LS@{grHWhuX*XY8ZghL5Ba2NRWzJEe${Q7_wLwlQ-j zgsAjEFLG{6I_Va*IKAM|WaSY%Kc*aGn(Qd0|2i+~ljMeix`ES)-1V5W}F(O_#(&&zDt9*M2svdli>^9zhX0F^716RS29XBM%GN96~E;z)XD@g zyS{VXnlYTJ$Hy>+Ab`~s+vOre-rv3QSDv+ADe0G?WQPs(Y~mw{bR0inTu?{-d0;! zi974Q&`VqU+}2E6v96Al{9$t@pv)I>D$v+RI#aF~3uL3vN&nWg`zaItvg76ExoQP4 z0*6|Kg%k4`Vjx+zd4}pfV>F!8L%T7O?!Ie={Fb+**`C2j$eOCc@B6dXmeQjb_T{G7 zWmm;ZR@pazAUPY9K&5%5#2138Ob4&|&8j(<(xO6Vv9A>UvjfQlB6s7PaStk??z+k{8Wc>Ud16n24-OiwQ$ zBhI82XHpB#{)-%k-t0?lCKV0YmI+vywE}L$m7}pzFNsa1(aay`M^Cz_P;@Pkc0enp>kb2TwsASCcdXzCcJQcs6iO>`|0SLdj&#ijqS36{WAJ`qdYom7Rj z=Sb9pE~w9nhN|M3KTf;u4zaZyD+#houlY|0EEx@0_*Ne7pa*)lKm>x^LVcblG(m;G z@v~#~la1)dQ@v}&bK?O5*5~;VB5u$TSFlr3Ebi6utwhfms7_VB$Lx`d`Eo=5Mnb+4 zm|EaGWSqo3V}V1@Sx0d?Zm#DfiRSl+W&$m`?DTOYN=3af4cKLTrs+`zz!f6Qn8~J= zYe-Ikai!^1osl0!nwTpK%(*ZtMV$tbVxu;X6 zm88!OdODSNJncMw&5nP&pDu1fZy~8Moq676BlTwt`t=`-_N^7vkUnO>;E_?WOuk!j3mos%h```$?< z6DKz`A%0mfH);&|#wNL~SmS76gCugM zw49-KoLvauCib;v5);IWQ*M(gaCtpDNY@_ z(#FAzZffE|3KN|0l3g4&PWB)RLXu&Dzy=mDI-HAB8l^M(3m)rsceqFoys3_PX^?oO zb{{*!o4{k}`|vUK`FfwuBn@eAXYx8PVnxy0@yEnxOZ^$0DFwrZCcoJx^vGzcBCgsS z-$9ELYz=QD(J?oXG)ZTX9SL~&p>9_iM9R>~$IMQ-S^3P`J$xc+91cD+`Xl?WGW7g? z5+n~xT&3(Za=E3Etp5~+N+u|2%rJ0W8Bg?*w>WZmf=oa~z zUzLRNAIkGiZzbzBk+9Tp!T1$CH*PM$mCEu&OhMJu{9~%>Gr9qL6Xtqp{%VAMCay~7 z$@84(E{Z8Y^N80oYB7}XZq;_B6Ru#mW4$kXy-_)!hfP-A&E5`ENj`ba?NXvRHSVfLuzBy6Jv90L#p$^InNNe;G#g!NV5M5E z`;c|J^DlwXE66?A_i)g1?MP0v-fVn#)ls^NH?*v(Evz^J(E(XPG&UvkM`Zp$rpQlC zjtL>PVaE(W7TS@2Nfp?KOhPslIp?mWS%F3xq$WR%nI=uhg4y`m%aDbNK(A12G^xcf zertPC5JrYD91%txp-elq!BzeO=S0ewFq29djVNQgv#}aYI2vMtulEcvAE1Sx!clNZ znT#o2%_E+*%T3=)&tnFmD7++0M}(==Sk=YxkruWY3=bzqh&8&T#M(TnQ_j**97b`o zy`r(w-T>{5uZTTckpZ=z5vEalWL^^kd4*x|11t|p8ILLbj#7?B(9%m5ixyPF9~mVxM(s0eIE?Ch3&GbKH(J9g{{=QqfVp;mhvm z>3!5T$JB;|3P={1jUyKEltpCL8zUzX9LW=hYM5S;Cta826f}_(k54d61A-o3(WU*+ zc%u1B27gIqID4&q$}zZ z5YbwQChLbcCL$F7N{_pqA@qGOBEIz%q2CdT_!NJ&TMRHZUf>fK+rOdvP*L zb$%M)Y!^pL_m$6ms;x$VPuy-fRZl0vlo`oWdJ$7%`2yYNYI(0KuUUytRe6V_G3)1C z@nd=ej*3g_j^3{W=}tx@ zNl&8b*6V!56m!xn_QVUB|6C}1rAT`UP56$(0%MYOMPg54Cnd7{h{Sbz8r?tbA%;XJ zA9OnK{UkMXfuVyTPp~~>qG3ndROMs89R{hxKwY5-4TYx^Y9HShyQfd~`J*D(V1oz) zk+M)khQe100c@XiA8iUgXdgv7I(y<~s% zRW1FPk-mXDrbv4VO^&@`R>eB&Csq&;!!PhgG+2Q<8dpuf6_LCQcn{hYBngB(rWi~( za|LQME#+6$W$-cwg^(Q zgK$g|axAp_p8ZgjUurpyuF*>`4q;jb(U>AqiqLG7OyI1IqUQUAAP(Yj`B=-ldVIL6 zIDxx`B_T|Hkc^8DgJ^&+=_Ow%2|*e|-|-DeYDk7rG#gdU{93(L=Asj^l0=SKkDSTC z2ct1e34R(TAV|jq?sQ@CCQ~a^opd4Kz|gs~fA7;-{GH1~-!Pq9yF6P}r>56PH+AAr z>p=evk*C{(fSi^^;fy&1g@Ao}2RK8N_tY4P7q@x$BfU_m_lh6*G2}Ph3fw}d_ zmQUZ<_sc%&hyz36b`;T|URYZ?Mya-h?DE z8fNZBvNIo{REJ}=8xlM8CnV|6cW1N_d)?gPy>=K(NZf7{4zIfpr3pgmzR-9*jcaH; zwcP2duEwFR;EXyK3csiD21VtNu)q~Xj>6=e~%9$LRRiCdx zVKgNQE~*+U4bPP^b65yX(9=YniFQK?Xt-j9Va%3Lg*{a~F$krxUm^gkXdA{Th!{8= z##5?fYP9aM)vEp22to`(A9ib)Oo`HtNOf-5n>=Hk1Oy{is;Hkpj-7vesC3PV?1!hX zKI%f4boO`xUA4n>O63|VS5b|p!q6iqM_8!hp33W}0+Uc}mo=laPV7PVB4}g0@ zlpl(wV$ihyPRvr`Nafw{cLc%D?L(ezO@?fXIUpG`so*jf->x23R-Kn1&Lt-{p>meZ zjB)F`3WqReWmV3u!ZrwOqU3OY(-$HHVPf@DgAXiP3lCC?-D!!Fm^)9ql&Kcz)bgAs z;q{l!6dMt;n3;CaKa@WBW44jiXRv;un&A3NuZM9Ah8onp-Wy{eGOJNKuEc+?67T9u zLU@|QvqK$$f}>38U=ko}$TBTqDf8q;CDHYlUDHfGaaT{sdeTWX#Ko9Y6M|)YtD5U^ z(L}l*DQ;$8Nu)qFlUgDQY+OqOjyDE+9^4of*D@JJP)RaWA{m?@piVD{yfVhsOv&wvnR826s;_$EB{RSPDt2-lzxpT&!J~`rC}x-cm~gX z4S*zY?dCv7-@CgjSdL5da+YnI12ba?;L7`euVXs&{9X6cV#&i^*qm2&)|SN*#^4xd z{IYQ{G&@WRobxM!o7OPP4hJSqzZz{6F7qWL9~fB>%)U&Ql@46n7mr7s#uUBsiSG9)R6@4=Z8E`0jcK7SV^y(-)TuyQypm3n2WFi5c!fjHzhlk$7{v zb1lZk8S7Q_ArlHXN-B97I>IgU^e(q&>J6qR)&d@2&z3kOG+Jl+G9lKPoOyPLFJALD z25X5RRz)9TSx!O_-*fpaAp-GURSyv;c2zQ=FNUx|8CcOLO@_%>hclNrHrw;apy8TJ zXlDst#o*LyhAH~99sU@~f#qXr38R7YGYAR5;AqXa2))^fgsyFtr#_#SbT|lC13CKTR84-Bbj3IxaB^7> z741!nfLc=Q;=AFabzoX44cy?C_>djMSgo|K$v39L$#(~ktjE(N8X26O-O0;l(RqTp0_8JASz&cq3`b~-^woH$S> zJ|C{c2{uic#VYVni9-%-h~o*PWbS|w&U4w0>h1)ztehlfSSGe#8tD#>T@mKI$7DB- z&y<3$6Or1*b{_IaJWoGATUIz!?-rHqg>g*Ju-J)tLdHB}9?>X>Bvok`1-z(mn2sim z=Ycc=Ey8E?=^-m2;_T_`P`DVC5&RDv7)=?3VM=hlFpOvbrM^#?K|e^+$dNWkw-QRp zw1_tf1$`a8&`AO@^aG!9ZlM=4D-gf;J%<^0U{k@|3n4#8Pz)XA<|;Rb+^P>Z#d^)v z!w=jf_W2N*($Y^IDuVC(e0K4@G{WDa2xs<4#4H>_bPhi#d+cW|om|iXUOzf9pQ93( zv;pxbT^#j!C5un!dB6zQo;p%#M`W@ns>RdSA*3Yrf|P3L(6t*f_7XlCIXL>_k4_pg zBPbM$9-$yL((#lLx|Q(}Iom&dJwubCfY+N&%6yoK14*MvK^lgH)C(e7>CoqpF8e-5 z4jL+)m}d9$Gv;!v(I#F}C1FTBNH0uj&NIG{euE)@1RjwQF{TkCBHch4jeZCtERA5q zJGz9AKR)5Sq6qVY+ePF@JXS?1cFf50nWq+Ns(nj3SwToy(L8;!=T#D+8@&*7B6Vm! z2Tnkg!Z5^!9fwRr>bkMEAQgHyfvho7Yr(eSb+F3|w%BC`K**C9T9FS;#}dyxy{;=# zay_lyQ$c&8)8S{Z(n$`~15;XFrbp#|nXl=nM>p{k?++~n`JAQ#HF*oWwRh&x_|FCB1d)e2e96otLmL@ABi>E~-<;zlL<9 z6GYBZcHU`zH%-U+=B|7@)6~9#B?Qx6qXW^DaU!%6Gu?rBKV$wiW^DtTbM=tncvBp^ zByc#YAIg08e?xHCkeAGPB{6t(1Ue9^fVc)-E(Us35tg^R=x$6>29qB|!o1WQ*pi12 zO*T+xcRUU4vlVs~7-I#0$r}n2OtO{rNSw+0;yb_6zw660`rAHh!@%ErjlVeN77e{T z8f?5cq0}|^WRrlwRG=5L6TUUO{!9*u@BU)D&6-DR+b*gj50zVNSH+>h(d&WD9_N^V zSs;kv_}CtlHF`?WIBo4U_eHg^7LpiH{h|3$E^52X6M^;7CDU<=$4|vKxZwNm{Im(W zWSS5SbK;fdlEH&|=GAxSF^Dm%l>%1lbUv*4k^*4wujPB{zn%}>c(Zy;-M z{udaio-7!XHIlC8Xy}+Id%GiYlFoeXzPF+^wmV3$?xzgZ?5|af64XiC@ox=%=CZq%^ zz<8rSeMY1jo*z&W=5FHHflsD%d16Ue*07Lgfri_ghXqaeD|Eiir~)|+pq7v?@BELz z-(f0Aow&H}wJ^cWu}y|JCh*BUNd&{1P{$~pU}N9sC;F?Gd6&Ue!AJzR+or9@XDz;I z5QRBn&xsd~O@57|xe84v99vMLgP6~#kxlOrLYGU!(7t4rbh6Ss4N4<;LqSZIq+#@m zA5q3ca}F4Dv5@4o#5*v6=5|1~FbuJy5ROYQp;<*RlVC?8FG0b!(h-gyF|#8&vXX=t z=JZS?{yf@8XLGs~=UG2{lJ`RqAtS)6MiG6HP-$?Pki{nU}Vw}Nx^<-=wo zvuw-kW^&2wGVU0qU=EfVKSq>4J-b8JhfP*$0OLA?ZJ1|WIF%vlqHbV$7ERvnEY}NQ z6sxBPxI zO-;$TCP!RN-BI&DvMzc@FUxW77_BM6?wR$#3nF@?@A4h7CdyIuzC#ReQ@w}T)7{#S ztCy^qbl174(@&>$x}Ty>-_*(YCsSuQ8bq91Zr90pFOvv9I~{rd^&avyNk$>x<ms}DHesQ)>bwMrTN3?g%hd%D2`fPWot5vJe8p~>x+ilZ5Ls)OjyTn^4 z;|4a}S>QjIX>PAC0GQ}}%Ht{x=GHsno^1t8nTH3$+Sld}D_+0ScW;b%kji_I;Is44 z@602{w&lxBrH~=Kgtf3W91ij@$U-7T4{qdxaMTz|v_=RPtC?B-nVGV|WTyM;abMKHX6yJ}9{W9;D(X~ZTJD3}?Y z&YNt-w61zSK& zdA;Hb@tPLR5~41Pe8_R#g(r;o;B?NE3aR}_0PJP9KVy$SRy#>h!zZGP)|jQku%Nck z|9$RCP>~|E2&Rxd%5C2FY^pmqScQg_YYR|VKWMj@-ELSi;)actgO81g?*{15vFqSO zqi>F2w_c3cC14k)3>t#ro3FAd7k!Z9p?yQ3{{fFtiLtBClaTR4IKZ7b$+ab8b-dXS zGD-(V9(KvO6EUu6lbspUeS}SMB*OO7Cl(ZIDTe0g7kTcFMjWtD&;5u|LW^Q;@unCn zXp_M-<${78n(vzv&5_Rdliq|(@#4lduhL8F!-k-jWqGB`(-9XwBavbY2>fyRKzB6hH%!fIQD@FxnG|JABiV_2Y^%UlD$t(+(6I~wkMH}t)0uw@pt2BwPHEH_Iq#jRaiuc$6&CY>0QttWzAF4zU* z_z<+fO<|b2lD$XKXO7MJy{JV3O6@Vr$hzG(yLP=U-?MhqV+O#eXnz#xpN6kdVx=Zz>qm~me&@Rt=0mI>u@x7`ZHC(b%ZK{)X zBFVsJRFd4YeRmN`i*yR?595jslZxW7FpLu#>Th@9D3mZ=w48lcI zu-Z=>-}$SUTDj{;x~l_Gg&uM&G6WZriWl(^g!8n56GyJy`S| z8Lo^jTj2H_m${oqTSz2hwC9^(DbJ6{TX8&l0OA+8`>NDlt(=c-OunCM6yBHe|jc#su5kk1)C$ zMWeo^8uyakR`wmQR$i`8?UGS-l2}R?ay}w6P2+p9a7S{IL|>Q!d=|%=%Cpw{G3iz` zFbT1)6O!QWE-R}J`TeGDcBYY`;{}cm(xxh&)920#GBkWgB2ArJ`}{$Aj1VI>)+&>8H%8Pi<8(B@$>^3gFin#FU;0!#Qyqit*!A^xv^`hyRc^x*=|&SWIf z*Z}eSuq0E-a4|6(1G%XHlb{FfvhL}{TZ)S@W~p8*Y^thZ{u!n~wIdvLli38Rtz%+v zu&k<(2ZNI(QCUo*CTy_G!kQwFz)w6vPmCinJ0{r7#3zKl9IHa&S4&G`$hh#ScmJe4 zju!_!;f=xwJ6`(2wW`X)hPOYZyw?Ol7kVv!t<;ZWQJqR&hv5_x+T#eij#sCX3u5E3 zZ?1-xc^W)0ZIa`AIO}ygcHHq8Fai0h(QJoCF;}9-pjGTsmtJvXE08g}ZWe%UY_tJ8s1 z(y>w`HZGNm>iqu^_clGUWLuWdeOXmqY7;%<2N;;L@?KSDq}#Vywm|R;5HLW@Fn2e1 zw{UYePx}bJ9zAPN(-UX}VgNlrNg<(X=}DBHRANxYfT%a3VbDK;K@X8Y2+<>0Ywu%U z?jCU?U%jWQd=)ps{hWQi&)H|6z1NbV?g1`74V9rLL^R(;6!ES%%1Nej^5eEt zZ<4kys#a}9&y4h*4o5a7mNfH&63<$r<`En5rJlc zQ0CpAtF#7=V$t1HRE9zD7E$W+A~*uty}Eo{GgSkPUA<~+;JViT@dqD1VB>G8Smx@P z*2kgKena7ILM=Yz=4ttZrB`B&`8to#dW65iq;X*O)7US z$#s!RI5x?EYVOO}=`ENty738FA!V8#_7CmM6|Wr_~Nhn4r>-vu|w@Bz!!<8BY4@2HSFR#+XkN zq#R2Rn-$;SZ83Q$@I%h;(}x9((ymjH8Rt|SpI?3@E*j)V%rpfiC^mm=?@OFTg-}9C zP~A9V(uW|h_})-gvd-&nO*1DH5t303DM&2YW_xbuHZ*v-Zuf(n(vZNbA(r$dvzIS_ zae4WReRo`SPTSRF@{~kLWXbKVTX9FsN}SM{(-RdiLF&?lLrtFKxmq$h5qFuK8jJ2$ z0D9db-@ zM!RMDrO#=JIhWDsyTmTG9eQ8B$FwE$>La$4mY~JL^|z9Fc`n*#?HWx=m>0CED)TL7 z?vk#5`|LT}?>JF4Ny-f*ag>^L-EDA>>gN=`_Z}8hQwTJ1D7fL%rj|9>_(`;0=XsyZ zC-|1-e^dUCqwWxg-^TKnX>^&DY#+Beiw(Y=|Z+v6lT<|a{UkuX*CSgfb=sn|QB zNfxFk9CUmR)3!H{FMkeo3!RvgId^?*=oExqXtg^ltl>IeR@m$}8GVkMlaP)h)&KU3 z4coUhF!jB1K4E>d;=W0xOSgbO1s+Ww5CXlSkJ;uYIu#@t@)&B0lpb2>=lH~r?Y zdnP3wvK;a)DS?jAbtIQR=EAbuX2`nyam?yVR%i*x%CB+$Vg1|ct7@gev{ZYQFG*Hj zmYQF_m69bpzoj`myJXEEz@G_NcZY1-<&2fO9M(pPZ=`4?h9o_~#I;EJzRhG7r;0Ov z{kiV?cJ(5qM@#~FX2Nx!K-c61t9pS+GV7#u_LNnSwyss0d_AcjzrK<2|6oMX=^6J| zTxE)C-M`#VUhO$4zP6TFOxSg}P@$9*E#{z`rk*^8FB~3+0TYpz9ZMC74&9!cOTN~W zJiNITc;VL;t&n>fF`z>7%q1G&cMLJ>$*XZSTu8EQUf4K6tNpHe!s*aLk-j(rSRU%T zGLk)2MN2}SZI(aLxs6ZiloEyyVT7-tJ!4H{I#;xp=TG)W+&6Nv4b-1By*!aS6op2L zQNHO|Z3%4qP9w}x*2@V3oC#lBWsbE))e!YMXhL5Tl6P8Oo=x>HHWZ<1lWWxiO%w`K zg}ms~w-ZP5sdzjo=h7n5G>JThE311dh0^G=7Q^vs&xDC2bhWwYIq$)v<0?_$xh*02 z%TLFgNf`r56BJJ&GQ0X;TmSY~CiGl65%k&HTq#L%l(*veXod5ryacyV%@(tnfZ&q_p^l9%4!qZ7$ zC5}fj4hSOw2^NHfYAj&*(!5>!eaFQ1rr2b?{Bu>8YkSq5EbO+wf$*`{y|;w_bL+#0 zQ(ejP1SuV>!-1OoMG3X#Ikt~p83R`GYFlR~0^aufcVlJGUFKBW9cX_$@Nz4*+q%+t z2MMFK<@T91S;I$|Cq8fU`6WNr#g84IBC#D+b+=;N7EZ>@#?rJdZeS=m~MJg+i)_Z>DpIh$B^_a6d9`jXOth$yDSgeog`Z%t&d&CV!fgEpgmu)rh zQmu+(OPj(efBCaaBGHQHf)YruT|?1oZu6@Ow(A<`eGN6*f+T0qeY5h3S<@cG`ZlKk ziSM&ZNkSV`<8rJrrX>okgdy#p0(ST-E-sU~!$76G$<4wW0 z^$VH>ZFcqYOO7wps1mBbbkb;rxfN3HDwL{PH0~yt9s5gTD)5YMC^y>Cve4GzD>ukk zXOG#Emmy5lXJ~Iw{4tHzjOH^Hk*p<=t=D`GSrW?zGXX2bu2w6`V=RqQ@L-UR1Q9s0 zt%E@5Iao%-cE&vfYO*XJ?U}A#qUq1b!xB03ONnhPo$5I|WY$`o%;_D^0i}aAW*=`~ zE1mSGf&e4DBWQ*AOvLKsC2Ee63QSZ76_I*S#T0j@917Dnk=T(8IN(YGE0-8|&huB6 zqCDId%SwDDr8{I=YH)37BUsdR%bGItf3;%>T=9IP6kXo z`~wZm78h(4qpRhyI533dwf-o%h+77`QOKbv_ZhBI2aNC|vDs=F;bq1hgATpfSiD5A zQjLU`iQ}S}$gz7&32DKYaGLiCs=w2R^Vtkq%_ZR)L$T#1yCK9&p*uDM3^C6S0Q zJl<)cNP)uMa*`Lqsd~Y9nPtZIm^nk={P!OWkrm z>tGl|8Bb;GZDwF+X|+rF;Uf+{hx-o4eNuEOL%=oI2+?Z820~@np!%e$gL zw5wq^HJPYm8J56wg+~q{d!QIyCM$dh@LLI0nQZ%1b?O`%Kx59bE?;7*;3o1UWgR(Z zYF@bSjIxTGY!K{l9B)ON^_{G(k&eRbmA&Ft64GFYT<1_@*dR{bvNe024mqFqGJ5*o zl84G#FRf-|2@ug_q6cOGRK@8<)*A+N}9cY5}`hITLmFy%~IF3o|j|7p~;tIL` zL{W4-x=Mm^u`6*9<0BZIH>C?q-%P&z)}}tzl39<$b3|skSESWY^Ln$T>HU^!#JHH= zHbsrg&t$aFhkO3$UrCyZf1^(zX#CdbV{XF;>A4IQkB#wKHqB@2oG%D8o;H2MhmY^b z548SQ@>{aH22sQao$t3+ltl5E`5?540 zD&RsYmK44;b&Q%kR4WFRubkeF%XlQOSa)K^kc139Z0*mY(WjbzR={o8=?@ z;2PR^pug1Hf@jsH`uzDSPhD~DFgSFcOgx;$F=r(=-gz!0&#Aw53?Iw{6=s^+ij~6U zz)R?*zRo@Wj)(=2l4s93jxmc6@XLZEDwkXXUAYP2U}Ipzo)&|$oF=hI@CI?0nvuQp zf_9Rr#jO;o_n1lu5BTm&S6A{3)|Z=}lxS2#QgfYHVo^}79rsu9S)7+T{fY=J_Mtn7 z_1qHJRH8ey?RB5@AGa6w;gaU1nlH}i-*wMme>J@(-|R>Yf(b)ovh`nMDQqy3%?=$W zzANep^H{C;YSqfyLhV%Rbz@=66X(S`&s*%sn4Yx#lK^R1)x4{*{>NwQqz?xZnHjj0kJHdQF-ViFX(!`m9MRL zO%?bLF}>-TjNS~(;u)&yp0QK>-C=#9lr^YtwiRC5fFAQqo~k_Va?TQ}znE4`H+V9Z zu1CUc=Q%q*LTO_N*Lr)Xc6@yAhsBRLF0Rj5xP^I6H||_~Fy%|JQ+;#H$x-Wtd_Z$K zh$(LJP#4#<56Yu!Dx1y>( zP|?C|2>RLOiEn{A58?-p+!K_`+d#L0R?Np%D8OY=wPN%UY+P5`E&~ODP~vP{3fC9s zB=d6UdX*;w6l=MHlC{no{+eMzV#+5W@w_F4H&hNYi?_RNr#L=11(w|!O8vqO zjWmBIj*sUT!8Icxz#<98RO+*Wwiwh0sih_Bgw5|GD1S zcJ+Nh`(0Z|B8*a>Xy}8;+0aIkjowR~bcbS9^T?y)$wF{!C1W_rNQ?h*E8nB|+wT)c ztH=~7A%gl8llrBmabip&uuGh{lFplT8{;Tn{)DhexVS4|5-!rXC7*Kgge0yGtrtyt zQAvQYK(!w|T4oMaMm9Bu{7U+GtS(ycM0fBOb3Sqjkj@nTGzFul>!p}xyd;S|O)~3n zFL0o!%Du>UL(eoO7$-9_Ei>F=vjz!LQX5KwS+95zPPVdm&dFrrrP{UtHR<2!&2tDj zCl6VPiv#glQ$I~~ctc3bFml&Z$xE2L&4>g|)Fnxq^i>mB#Wlleutmv*AkRqhxU4%I zaYSa1-7yd4TYs;|(=gZ~*Sgr5KgFv~P(0*@K_ygTsU%MHMxjxh8ooBQnH-vXeEUZ> zqsn)*b2Q?i zxhUaBv<9llA4lkTEYe-k#=Wd%aOYYLnVYOWG@3h#mHGRGQ$BNOk-@2EkGjuX@jB7v zxo(84yUBQ{^8olGTZp1WVxqxX*bv*|IYVn`zkWo8b6aj-IQoZJy0%#FgqN?T9OJ7k zGLp!Whxui8sXBH$q4$d1fksI`G*J!sG@?fCM)BWl`Zj6w5gVxe9kX{9F&)dK1~z9a z490rZmQt{_*9ago*Xcn@N+iHN4mh zg>`+~pgk3ZwVf^3&=s>CMWqjEq-^y~dnpN4@F?-`N=h)?6AGP+9EoX^mrd>*Z4{m6 z80=hZT68croVVoAh0W%pA@yG~qoq@LL>|Av;L%sVEP0`zyXA@@l+U=~)nouqK(N0u zzzSr z`AX{o-}=AqM;QzjOo6NYXyXp}X&!pOC<7X3@{`a7AOjH+gOmkdY z1*{ZnaXko1e(CMr*Bz@B-q!0$ZhhD^+j|p3#xYRl3~H#oBFC8megXG2Y-t~U)O}&&=D#9VBe0rkWcD#?R?C5>~!x#GB zQ|>qcIuja7BaL;;4yR1|f7z`F3CwP*vx`8DJ`!^FjyzX68H8O;C?<_O49lH4|E0>w z{0c-`LUmcZcquKpKMdG8+q}G)8fK+ywNmT9`Nin5ffVVVL&>j+d$;4*BEpoI7j_xwIJ z-$0H;pDpu(;8lBv&hJ4=&>aFz5?d%FMiGIk`GiO`i#8)5My3$H4kH8t{75O@3&aJH z6na^+XBookUiN;Cv}?TfR4El6|>CF)a)b=;V>COh?>!#8hPlp z+g8g=DHk>>^?hXBT3)KicgRf#fzgrKmAu$C9DVHXFJSh)W}s%KTV-cJ{~5PnZPl z6M^hM3YlA)gif|x(b;w2&ixkZb6ISvnod1?zFbNktd@^T!$&Rm%{1;{< z+~&lp#r;dJ9zzI}v){5hi!0HS@1L8sk>%c(MeihPqISa=#cd;gc={1*(r9kazn|N1 z!0!*+oi;PJKgN@q^xr=V%pV2C_XTZ89W5x+$EzxAOlJ_|=Uz_TYreAy=OHN4^pkSV zo3=3>pO6Av1}l;}i8@R#B;!MNJ|R`85Ik-gxy})Z4AuNebl7u^6p^yoPsY!jpw9Uq zSnw>%{^%!^lJ?D)4ca+>zB~{86S$MgOi#~mp$)RF*;ydX_{`Nf`)0S)tO5DqrH;5h zvW^pA#`EfA<{3%FB@y-m7O*PwC%F^zR=%$V+I%IZIOj|pkzpzav84Zx{@}w03C_Z? z*VPP)-WJFH4@TiL@(GGDG3^*+tYHjQQ&vyeo@679ym?zqQQIau2vw+Y>qy-cKS=JP zA3qTW=H;hf|3qK2n% z!zi9Fe(2@B=EaX8|ufM^DBzTB6DI^DR?%U#6C5D3*C;JG+zQVETjbs>o{cL+p+R;#5f9vV6tLj0y-{7xYP*tI2|tH<6x=C)*Z z2}^xn0#vf9J@$3TR|Oq~p$E6E=E9HYJz4v!;gSbdt=U}C4!c`?;jB*`R@jI*3& zw|;v0<-U(XvdA@2^1??|>L?`=#W9V8xAPg01y+|Ad8U_*>8(um|NamDbDPfOFF!rm zyRLcpX>Tda&4H9elAqMpb0Jq5^v;UutV!hzek(mY#yqbJHAyZbl5jdC$(uRLtkaFS z`evW!n@z4+WOsifpS1Gn<);;+DtJ>b4Vemd&h4(fr~v%%=ThcbK7IA!L-GSr#G%4F zDSu1(o4dfTR<`0*nywbDcvLwzA26byf1VjsNkavh;u`x0H6O`^ym?=uRd*`Z7X4%$ z`JsW)bZaV__UbPRs=AiO3?fllb)KE%nOXix7aqe;vdW8w|ULOH7`L(J^PC;Om%l`KH&yYl=5Tz=vIK*i zfj&UvqyTXI05uJJi-e1uh=v|L zmCfF>Bsj zojgs7+4jk1IP=%gZ*YO3^;#aFrKG?m??YcoEDit%dn=aW=IySZB^6;&_z-_>ud%V= zB6X%oj%E8~su+skO`1BIytv}1oD~tW2%)O7$Ik`L%8^J3d?Q*Z3k%6uVbi(E_{T_L zfj4cBY#9Xqpj~0Z-R7#}u9|d}SR_VdxDe=r$&B@VwAA{`0ncAzQOoiM(!YTMRnfXi zKTezAuNLWI9NZ)sJ7W~25l3I3@q1T4La)))D)rP?N!*R*Q~jJ~jp;AzpZ;Hb~hxdw7pzk+%RkU!fCODgg?W*@dnh*<&R67>U0hog_ zMrd-Gca5k83gUkx&K++2G`D%NtIlgDzF*c?O{w-}wqx9gRsfeKFHMX;&xSR-T=x~b zi2pmCiarzW^L5@La^lk-1KFD-h7&9@EpPexERP8vdHn>sn)gg6_osW^8p%+=Y6pnV* z?Br626rsYvkXprw+|WAY<+398s=c!FC%*U~Q6h1viJPE=T%51u<5bO85sfop7+FTO zThdKVLbY%q62qr2<)ey$C9Y&P14eLBVf1N&Z&E9#!xh=vCZv1zT=~wp7V)-B^BZkEaq9SsSUQW& zc#4@rZHji%RIE~=R?*P4oz$C92r0iaG=r|JpU@AjN9c9-@_7wSY_Fk;CP>zI!o=|t z)G=E#3Ia2YpOdaj7&!&3I*ctL6M|Bt|B&0pC9_ZH`qn@D{dd4c-vfv?4<%9B<9Inl z!7IgJL_?{VBnh=gS5CfnJqvcR?|xEDv8pC&u5(5{zO$5jaae zW*yal@ERC#lB9u3#T1HNBQ+c!6ebmnc*#CoY%x0s>hWt*F&R=L)wN=;2TU6vpD0w2 zo(KarYxTGGwBqR}0iKYPd~&Mt zayZE=;sm8B;QO}<^{qHCLemkRNYJ%IgRVUnN_g!N#>hBOXY#Na`81WfMr_!_zb)qB zYEof&d!k=pX_GugSg@1VyEqJKK@-V=g+*#4yL|-aC^EgS?pxEr9i)a<9QRVa{%t~L zgAAOX&SyjL$ywo6Xxbh6BsbM<#)^|(&dqGqU01!N>y8Y%LG)?*KCs24pt=&IVPXWv zR@|>7H|$>vWq9=I&AnPj9@bI+rr1X}`vHlrJQbJpi;1rklNq|uITT#WLsR$k{>=zX zjbj<|;)u*%p3>AO{W8L6j{T-PVsb6)jlqa`bgR(RO8Qkq#@-RpPS}(RG0yWXzOe;pK|Ur&Xw`J}>MogS+L3zFT?vA9odzSi4>p$h{ zxi4Zs3NT_eCA#&vt^S&|+14-rkXIE)qhdORj1BH&{dA+!@q79|9`lVNNkuaw&6EhRfz1IUG$sbH}j1Gbgb&?Y@B{K zMf+S=q}+VK2LCa^ZZv43jvGI?(zbbCR!4DIcViVskctLZPicILs&Z#1X-+R9oQvq`Fj@Zq^_MeBD9?luA(Rf} z8w@XGHf`G~$d9h-vdhk*k~p!{C4^qWxCc>01J)#k3P9*k;uDZTN2(KCN%?>OmT~c$ zaLn2AICD!hm&TFsF!64Qn_FHUZf=+TmCRB@D{Tw=3$7Flf5Ao~ z2uvsRJWZ}37WF8MfC~NHF-`pUR4RB+A_C!1YuQ!UvaZSUMy1e_XFY0Ew(&8TcWl<7 z1tygjipH%k-+V*-v3ZoNk?Z8S&&Pp924&PtXTqz%8wmi*iG?FD((!+f}3 zqTpP@k6KQLX4=o=1wWPRmV)xpb3iUDW5TS=mYK|@l%v+0*$!B3`E4Br9~w(QpuXJY zDPi(hNt+Q7muox8Sh(Qr)#5H%l$$GN!VR>NV>QeOayohrL5wAc=5)F>oAlk93d-`D zs}udC^oP^t&&?~mTv9ad8<>;bsloccs`B{2ucM%d#VSb}zCYA?8d zm{{}KbyKC70ZDaUtf_iJ3#pFuJfur*zRHDU-ej>v!FtD_q%@cqQDO{HNWGi7mrbYc zi(ir{K9Vk{+3`Y{LmCtI_a<>)Q}NAwhgAPPi2^pKcjP4_qmt22d&sneSXdYe?pxz- zcyDcseZli3a`I?iq0QzrY`@~l8#p8=qxF=OOV^X7%nyvT6!&3o;bcD+OG1_v%js5O zjDg~(jIA1l?MO#17Od$iFg^x4FN|?xn+tn67It;H9luFcX}CiL)-_$(*+)wrYxC*~ zsi-)F#~N10cQ%?#m2AO38vE%}Qs*3H{?l?mvs zON^1hu#(1lH?lug?WbX$YcMNrUW-r46Ju-C7xobPx+qPO_@Pz$$tgcIMSqKO(P)|G^=glc&&xkie~s(Pk+-U<=`3L`)NbOY z2F}_F$8uu>!z_$kV)|KxZb*vaV*ga== z8;$F-csQTADbz$p8hd^blK@ZZl1%F2JA*II!0_hwmAPr6hZ49eR!6f`wAHr>k?zM1 z8yW*SDuQ}zExbh-DSTXDrIT6&y}jpbr-DlzzEXp4?VBEQ@68C;zgH_vik1;s$Gx6o zYL>yQjA+nSU)Bk_x642Tst9!QKigu=O@g=j=C&SpXG(ZIQKFcf?plE$vbP0E- z_K(`J?I9LP(mN85$m3VL;9|N9J~F(34kcqz_ou<#$%$HFgF6X}hp9wD#U$xnkjF~+ zGs~QIzv+srb#Q<9{rAn`dw}6(*t1``C4>DPw5FI&TLU? z2jGl+ZFPY;@2K36lCMbA?h_K?9un zaMGG7nEa{4F|3x2-8+lNz8}tMD}+ozMBIc)7{Uo|<`WT78pQsLwZe0I5p$fmAT_f| zLz6{H9}5!2f$PorDw1Bx9S?ZpnvO*@Z%rWa(Y=>n*h{$2Xu%cc`08xhc|VU)*pvc=|4PCBpNQDIrDFi+F`CmJ!WK1oV^dROhGR55AL5 ztz!S?A1HRTEp~UOrD2z^5P}@dmm>PJiCGg@HWF0&OSxlLDZGTh%3A>tt1 z>w_I%|IQl%I11g4G7WuecMWQ>YVH1$23pbe&y1`YR7hFvon12_4^R=BNS`%1p$Ef7I zCM1$c?e+g!hSO_c@zDw|JE8kUwfiTP+nR>6nih=QB@j!AGO_AqS>PP+t98{+?mWX| z!3ShQ8dr5+N7+rKWp&>E&DC?7hGyN2tQyBl)7CG4ewd^VCb_+Sa7?wm#8KdcY%(Ft zCqH`^@_Is4RIi@o@5rOB46B z#z4>szmwLrA@LloG-bXc0yd5;3Hi6jEr}1SljptHrwMslKkhW}r|v#o&C_W+uR3y` zQhAK_H0cTs%Ve2)lU{JGpM-jWJD(`V>Z>TPg5TSG0vuFjd$g5VgI|F;Ym?aW-HkR zN#m37%K0OQ`>XYSCA({)s5N`9CEY3hUb`2v)kR9-7ra{Zy;f`1A23L5LG56Cuyw8< zYz-1qBd)t*4N@+>KE9FIKRE0nyLaD+$;QHnV{U!jvAq~p0Ca)6EZWL{HP1pnCj!kf zReqo zVMQ|39@hVAG?wxHse@PwC)ABW*?88ujt~YC4@|~~-iv%Uwm(Y4v92QDFcmKPgKCx~ za86zOJS6u*ZxNUoZI;83TAl^Nb zQ$8HB$f4yJ!0WM)AYsVxYGiOVI#(MY{;~T zV=bdU91}hrH%5crlHRr+Qv1;&Q1ZV%b*iajGvjc290jV(aXojTI0k)E(%$uH7xTt4 zkkU=kMAAondRIxw8?|CNXJIU}Kf0R1OHz6jPcwMa3_jsL)b-uuz>r10G;GM>_c_!e zgj(hMv9*gRQhIMPt%wrlfDY&W<&W z+vCg#2(}~{(mq4lX9(`M9$7-o;`R%V_uDZK)+&h;SjvzkBAN4Imd6|Bt!CO{Bcu1m zFjwN35ozu$lYg}~Y9*9p#Il<0`WYW3NUNEL^**lNM6UD-Y%%m*6nn;S=Jt!%3$Mn> zAE&gZ;}k5CAT-$qy>2?Z;#lsiyVcI%zzik&vDgZ|S=RVwW-#R8ca;j z0UU@<#B+skTb%rQy!3zRDbxQYhmHBe$_{jLRG{#Sy=#WEBEureX7_g`u8J8UzCIU6 z4Xj`mPmUYUqBDNZ+dDt(kE*pGb_tO3Q?3QD2-n&OS%fXTn3HlPV*VhugGQOM923Y; zQav_kW%w=?q};7zJKE8i~;Mr)O+AA^K4+AU*?s4aZSH-LKmp=IAd|~6re3YL=1cgSf0HkiD7Kbpkpj-Ls@gH9 z7Uqv72FMvWiPV@LQ4+9UimA&v(b?!D~d&Y_-1BY&*c zIO=D}ZO(tM#~hs4@C^Lm{rQ*?0GxMfhO1VBv@9OW-!wEh@rIiEp3_qnRwo{AxJ?;| z@?Az+(|PMW25mnv1dCp(6^F|bT!yI-OhGJkd)t-kY**e$h#jg4Tu6LN`ndcgGJ=KE zHJV+Gq?i!2XMQRBib@RehtnV$C2;N&>26zhhZ_ljthYhJnxGE84+&6(AOUAhn|JjP zSGpoW&`BIMub7VM_7g|Afw=Xm|L1R|01i7;b=SQuA$o5Ks~wqo`Ex>Oa#heG z(w_2eMl+QeYKoGHx+cwo;6m~~es5OL18fk4s~k51@i{YMZYEmqQ74{JcRL}PNR%#E zSjjKU)?&>0+$kh_v%&Aj%AgTAZNYHmZnerAK3KIASLmiYV0vEEX%5$wl(d@U8jT*j z@N0)C^BOPFNWg^go1<%QB*$zhOqb+^kjDkmqV{;&>NR&OlUVmd)74qdmGHt)b*|(g zzL&~#1PX@<6AJSlBL8j$iFcSd5{4@Bh;(`<;eYxSF?(7iRX-4&j65&Z!D%n2oQSYc zr*cAz9HC?iJlXi+CeN)?RXfLy0kYW%N`ECWbk&eXdX|7&^n+ZW3iiPg5EmR7&t07@ z?ftHJCc*daiNM=yTDJ0g*&}-7=2p>W&MB)(^6p^06wZ>&wa4s!iIN3s8g3QFSCBZA zxO}emqVZE-uA6I@d{UX>rjKhGKBdk%DITz{d&e2crr%m3I2N_MvXIfX*)b1>$Z z`52W7y;{%|#q)N^qr2o-B9wPAx!QZ8ux>M)%%4eqbSH-?grR_2@ie8^^>x3WC1gsX zS{;&oW7v*ZJsRvR++K|9Ccik5kFv|XoTi||9*xf)YaB)!+|V#$sedmyp`AUH^S@v< zA3J%a6;+xqFy$I)3O-rlW|{MO(dMVEfm9dl5TOya;xrA#wn6~pg2;IUXwUR~mmqH9 zvhNuv%^<%~*CSdEb4TLL5;*6>nuPONcYgVkT0@ixjn|9Pf(e*fF`xyvsdX_;lUxY@0kY3k`DN;5{F*Sll6skroX z9<`KpC*Z<_*&+dLPIaonqJ6?K;2B(3lr-W|n!=pO@AdNj2c$)t81!%B0$2m1&k0RR1XGZwsPm*edvCg{MZSShlF;MMF&VuPw>M}2K+=r$%70pa60 zXGLK;HJsl|h>I0WWY&ZgZ?Yw=UB|+5`-#Tr>s@|dnHn#YeT7+9q1!gfxuHO6t3zX5 z$bl`0qa>9?xgDoCE(@ndoq@l%4djWl#o1z!TF*9D!wq)9qQd%Ui1trHfQ94#uvq*M zh7T!CCAknk@8k%Wr1@jpB{6%Gub?Sej3L9=V!VhIuPinuahftMuIwi#v6QB$5vqep zk_1USTk4xyS-C+Ygg%eQJ%gPetLEiTsW}uSxg59E@%iPa68fdE=+<)y?!sD;s5+<5 zz*-scOxUo1IG(F=vn5mX6E-}IG_u?k<64h62r6tQc|EDC+>=cb-)hjUj5WjLYnn+a z8USLG$|7f>P&Z4XT81`NW0@|JrY5Opm0htdaAB`nh#BQchc8U3z*0)a$~HVQlDHR$ zX>#7>dFcd}yqXUoe|-WUn?>32#Wps@kpO3`k?;23N7k(Ch7?}ZrwFaDe(~@k5B-&v37pdR*I+%YhNDtx!WUA-O81df}`<*60D8^Rk7z)jrNg3xA zu=Apk_f!ZmswLfaT{Ul6G2>m@oNuFp5e)0PBlk4)Q!#-$gnm9{_#hh$U+F+uF@Dn1 zHT0kSJ`N&`73t*iQ_&C~uq}8;Ut`%3_s3pdoO3Po2K*Jf+*X`~G9nA|1jF@*c0B=2 z;&qc-!6%YA=r#cjxTWz%EHZR0V!(pLp>48~4hZ$Flc!4_i6nK&@!;{ff&oU2Iy=xx zn;(}1e|H|&c71t1X7@$tZCPM%+Z}rLn?{3TW;GEeF!3rf%tJT6qFR|GumllTcD_8@ zV*=3CQRqRNoUoK~=3~+xSEK}(dyA@!*tLkRt&9>}d&KOKt`Ll?+qzu2i>j0mbB*^G zQJv|`bki+@PF!s&aUnb(uiZvPOcaEc?~_-oqdRu1H@@3Oy(Y`}kB*%~u;5L{_|a9{ zOj|V$(&(@`=1l|S4Y7=5u0W$X6N^Vskb0nG^}rTNhiVe+J{=Kli&!hjy#Rq)y-tD*6_*5>?~6T0^KrC(CdJSqb78P06xY`tQ(s z##D(aFl8SVJ_~E|&@V6f%45%|MV3XPGSuiu51B;Z{N+GO$E!mo~=N4Py<>%gt_(4o|l?q7`(G1`;aFN(+$FDP5_k-Ysj zYlCZ1V=A_25R)PS_ zyFGL*h3W!B4~0+GyDFaCV%E9fOH2RQW@g%s2LvA-?iLc-<206`5Y0>M-8f#ZzLY|i z1v78i5Hr+c4y^#%hE>;K{s^FD!_{p2Ht!o(0)+?UfC~_rG_XNk6~_^o`L!&C)|o07 zIi|0M`?|KG?LJ~FC$zw|Y*MFLn@%8L>9kwqOWKz9y0dy!4JI$%~V z3nw@iPIxY?C+Hd6J0N#=&bAJw_DZTOv?{bD1`i9IQ$kiL43xN{d{3({R2WPBSF2hu zCK`G$UWna~w1P>7e@Vd>(tYH6KFL$%$)4$Dc*u4KLQo8ua4nE%c9)hNCwh>O!|&07Ma$NxVJ2h|9ePT#aMF+5*?~2-KD3eyp5`-){r@7u`UriP}k@o z3AC=UsCjZ>77R=VfnzwcS)sIeJ`hjufgo2b)0b{RD&FFcxNq$lg1^Su*W{mxoaa4| z%|M__oaBLQcq~mG(g)~Z2_&AB#;|T31Y|?~9&lCkwQr=fwd~PU{W271dNd~2q?&I% zRxf@?JZ+jQ!_X9DkXTjKeo{dh1|k5u{zDw2JK|_M+~0h49cM5Yt7+=CC6rnnSzCdX zv$dm-fCUGPmP#{$kagHACVKqRVdo@>7F!d`m(ycbY74 z1Qse^VZ#6Vzk2y4l$^35^5R1p52YsyJ`Jq0$IL3TH7UfN?55gRW%bnTFV{sA@_s0K zS^fGaJ`%Onum2$vdeg!e&U*iZLl^s4+qG7mt@FKo%rQBbG?*vtWnwCkcI$}Cha}R- zG=U`?(mZDSZb|?AU;nh1WYH|y`mg@+U;QU9zdTwMIjSB7N*P-aQxbKoPZ{%4)9e}j zmKFB1I8{7n*1!AJjmKd@H(!1Am`1uSFuxWNCs~U7#;TTyC49ferqe@~N$lPbk8(IV z=U}0vMfz^GkOkNa!e+bf^7lw_H8w}R1w@Ls7^-7JINu@0*TAtb8O6lC7y=5&52ZA+ z=U)70sgZ(gRhqh?m5%w+KHtn?DbKciMJSa%i|DLw z?9GB3!#6s=XMe(E_g(KQpwWA)^A#NwCtDb%$yM^G7h_zahYI>J14F05h{I&OqLJ$(OFd*t;>h}Mzxo;cMD3IP(O#27Pf(3*;V2qZ zhAB(YyhFdU`$*mIc<&J)8fSlE{7TP;6Uq#ffnOTIq==C$)yZ(uezdDUs_aiwvYSW4 zWJBmT2HhLj-!DpnAjmP;6H6l`(71WRw!d4(1kvNP`cdTAACJ}9KCg}|{gWQyJr7PI z{w~&``|(Xt*^Ap<%*BVUxmI~NKhNQyc}-@##BjT#y|9a;UW%uYp9l3UhjYGikx(` z*;JI=T(@+sZX9yGI#4ImxfJd#iwyUXj6AzS?W_;LZ?-XhhDty&2eLuzkdB{HMScHsn{2udkv$?GvCt$8eS#zIAE z-jEf^_!Ba2D$B(Q5y@?NSygmR#g%&2(|1N*25Yo#h#1W6D9U)*UuJ80S9@DbBx^)G z{AY4J>pSCQB_!i?@TQqVUS-(z65vMkkS!7Xv;%R@SZ?BnN)eC=>AW!23RMuFk{tAX z68P8_DyR(uf}0W%F8E#0s}?zZ1X}TJW?tN~BYtmqk&Nsy3C>v``l2S`B%pGlNl!a$ zpmdI4irA#6arBXn$Zk7wF-sACUxdyd$cJY1giQFK9}b`!NpNOS(d>UzYpoM|^n^yL=s}XEvAX`yeT;UZNM8N2 z8oODO_rpZIN*AMtqUcEN1d_>>OqkM%uR(mX>dDmd6Xpr{1|Ja+enA;fXPr2q#%-R> zb4BN*V};8GMGq-+gi^|arC`@i1Z*TDEhIX$q90XAEF7XFE*=O3$yG$CN2JG4rha1m z>KCMYP?uw+-qC4XsjnTCC$+I;@*dw-CtENDtkK(9d9-na2y>AzOP>wZ6NXlnHx6z( z8jZvNi&XD<3yHK?^X*Vd&H*4-KrI%O9@>7E5gx)HVG7I-DBR~mwqgLkAw2G zDYFi3XtLJrOC;BTyhcdWu>>+a=b7jx^XjYFZc9+e_UZV1onPy0TrnAbv91ozc~@b} zAaJ+%TGBPx-b2yhO=AgV26x3bz|pVzFbH7^>%IlwD3?qOFQB>u9^kq?74AMcA55v8bpUIrm+Xg0hZ+mObj?!sTK zZSPXF|B)X$mn@HA?3GKnQ7GghWcbcEd z8ByWy$Z_@+pRsc>Z8xM{uWBJ);8EZI=lc3?^lD|;Ip}QlceG85UzHq~=pCWjb(>bf zLGQ^u;%Irjf}U}IKx>0kUx!4}Z`RykkcLe*eUGfi{P@fT@C709Kn>apQT4Qb`R|JT z{^ieE8$)f$MVOI!PTW+Cy9t9w<6e|bI8m86W*^KH-moxk5o?X0y>INUA@jw8 z5Rd%&Ykrn@{YN{rActhTGk;o#*xKAKgzx zx-C{kYk$OC`J`Ax@(Aa718XjV53$8AKhf<28#}#t zqc92NU5<}|)OxUOdsO40G5K^6e2C=5ZaCEZ07*qd3cp4M=(_2`BLnsW#_Pf5vx5`j zB5M>CFIps`O+Lg-j$J7XgTzU3<#B=sT%8|0dDOc;1HB+v@X0UGeB?bMZ*0PMuSkkX zaBqo+a{~!od3gI8U-8yRf*9z2%*j$8^DufD?EDEY&%$+J2Dzvbgb57i@kl9hJ$J!@O;JPUk{}gf;EQHUC zNPMc4D%~LzhcK49a~R}Z*SDZbY)KLyV8~2z3iIQH7t=+6{^D42$k6Ai zazf$s(?pwOs^SG$Msa|g9&#{sfbm78XMa(F#y{rvxm)52@N<*QJahP=KpyrXEk_ip9!d;rZWqPG=p5B}Hko#*?!13;pu#W7#>5L$-R59t@Y8ZiBW^NSD=WLwaomcC`{Ea8r}dmcZ! zvP-RGGLXxjV->{gE6$AvzH_IRxK^P%-6)kp7CQZ1FX8hryI3b0<^-y=>yC8Y;bx3d z(eIQkOujzv+EROY1(%m}OL?pzT^7cI9m?-L3|7hx;$jJPCSZuIvippktRmw$Mu1@! zzOIrujcE_?WS()*`LLf@%dXt=mg|JBE_0m;4vvQhwDO!8cHS>nB65{3{vyL-A zM&iFmi+I^B^`gCYBnZS1_lcUw1E&8qBWyZ(XL(r37y8@y`GwxZU1R+YM7FqUK$VB~ zzgaorh2UZVqhUmDSO`+Oi(%k<$QftG2G?bx8up2K5$8i;KqHTE`C0>OeV>XUVFCKo z$Mu_j3o*TiO9`&x>E0*eTTZ}3Layw7-~?8SOM2bV$}~@g{nzI@il~NS^P=8=oV0)& z7X|}59h0QujeN`q{WlZiVdKG)p>qn7NuAcX;u<7GB(+_W7{Zte^@^|%7H9yu%g-c< zoQUN5Mg!Orz7qg!4j5XzWM2+dUQR?|hDWG(jOp!(*Su>n z3KRN6dl8U`Sz0&2TBPA`L0ja)`p&!RCqgw9Z!rp$Be}f6NTBqJj9# zL0;VYD+Bg1z9Qj^W>1%Btgjdq7J^3wV0WU#ih9bkKwh{W3Ez7$cqYBbK>}lajD&QQ z&~uzcLxw~lHT2D8$c_8pPzDnbSh*F$a!8Cs|GW2<4wGCQQ+h*sn51?{!Ji|%$WHD0l zd0{^RUh4wl#A|kM%-&B&tolBOr(jT5vnh)BP@+_%WA=f$GF6n)oJz!N^MH>F(NutE zef76{lDSM`$DHpRjl7XRaOq*BFPRgMxID;bf}SG3t!T#+SYJiSYpi9FZ5hwIrpq~v zb>?a$$Ycj-XSg^pC`G+88^+1fp#HHIKsjU}8mNC{(2B$k^7)FH4Fm5oD`|LPOc9?F$o$;&m2Im_)e_hEK(&bz z0lD{lr*3!j9MMOb@5OkHxo~m@37WL*=xc>@@NsH0Xl^?pN#yy-<}(Hx*(%j`n|*G? z;=Za5cN2(%{7G(*t@O)&H!Em9tc+*;-0EeMc;y_`LnchfXog~{NZ5eHn;r79I2!9U zI-_P3Wnvw&ef~;YGz2GGS3JXTHeid$H$5wkpc9^V1s&Ry7)7wch#*LBa)BT$OPp$l z@)hyLfpCC4MIS4gwKI8Z6P(Mo78gLtr_9E(DCD6g@2PY3m9lH|Jz;2|f#D`~5C;JU zPxLg@cZVKjwhYD-LsCz5cc+M{Ae=5%?Y}+j(3Q*^<2bo>V2P8nFWTF$wIaAOUo@fX zSv@hjd8KNaSJxUg;B~gI)|s8v2Sy7b5tg`mmVJ+jvR-qh-3T=6=9ppPJHjWtw+aqn7BkGV8WGPB1t5f;>_PNlcu5%sYvc*$(mFx7{Pr_{4#x z$29h2+>tt(t@0xQpYGN-GT{TuPI+D#yeNSuIn?EzdeesXw1j%vkXEN!sjG)vYG3>rnf^Ke#{o^g(T>=yVlpr89UnoE$Mh@A9NPpPe+DOR-$H1<)%15u8IkwFpMHwz6>0k;8;}`lNEnKfn9{Len}6d@9lY# z1_{CiagyR$q0k%|ASkqnLy4=kG;FU86Y4`|S*Z^X6f9F2PuT`%`S$$NCS`&fS`#Q? zc@XSV@<}V-W~<9sR1_qr2VX3sw^N$}5h3_e$9V6qJ z`7t|XN9V9xo#j-C9U`N($(OZ67a3-hS)~p*xl2OxL*=DcVk7jz zm~c*$t=9HO-6TJ;f!$g@qK$Wy+0!^g0%)8)*{h+71K;<2 ztNuG5KIChSl2DXuSpvN=rso2<@@1A@5C@n>h@o|id0cLU8d^b|i^6eh1p;+PZzfzy zx+9i!#?57o9|iWrgPkplwKD~I_XoK4_ZIf!#!+7RWQf9|19Q!;=j#pcM%X5ho?*Th z4DE4W*==!RT>Vq=SO2logMjz2@rthfyDEQKQ6)HKzy1j~ntkCY5c|hia6>1MkWhk82*4hxA!l90R{Kem&##^KV1Rsd+#olZ5MyXcxZd*WF>SD7R%N` zji66b)nz+OcZn%buu>_t?{WWUwe`!THYF~vM}{L--MVn5d;nw$o;G@ML&NaiYBU?= zYxlx=6l~}WCS^0=O-tyFs>zneVt+H>Jr=!U&~ur8xpa=V0_S@6xJ__}m{`kYrEPhE zXzatwU&uwmo6d3V|MwP2EC(X;e+S)d(>Ox?;sx`zM^q=P)ymBEL%v%VcAM>rx^Skw zJez92qrz)!E}{C2wXiaH}UF0}ftXm4i4WIg^atHA55y~}X*8@gs_ zdh*Ua&j2is=S(u3Gdcn3dW&oLb3Xz7s|o18yEN`PV(eW^qJ7PSjg)0BhLyYcIp1s3ggEW@i?}-H9fwE zNh#ZPe=xqgxT{&&Z1gY?yP1efyO?DSf z|MYC8r=S;{a-|YD({J$%K7h>6k-in=*|?>GLT>aOe~IylpZ*;1=s*KFDl2 z34h*OB2Gk&Kuc$_ z{mZ|YK7wA+o~UP-unF0?m-z%@EEq_=XvX8T`fF3`w8ijHM-wvi^;)=&;=M@4Z9E z9H25(YeAxJ%{7$}aF#H{DC87-gDh(_nSAAC=wXwa`(-X1$K3S+5CX>>#Nf56R}=`?nG z*~ybub{;FX+t8e_tIA@H4%&!Ol<^RB;qw-KWrZ0^9()*xoG~INo7H!pU$nmGd?WK2 z_q>BR^wG}PoRN#K@IM5J$n!-WUotSuHyy!whAP<~yCbIXq3RkkFe4@10U7ktLf%u+ z_K1Vi3VNo3*hzP`1UuxEbCg-nbk)<)e)DBDyt!R1leP-V-c?yc_x zF`+GVl#M&>hTiFiQ&H#QJkPx7_kZyVeayt1$hKSYkhVQK1k)l!G++K}t(tvCc)L|~ zHm%r6K&?$qObm*X_zG$o3l+%1>JEpMo$u*ZQ5+fbXR_tZ5L2; z{jguk4uz%G2r6iGs%b0bQAkG+VVzFs^;fshW3-(;gsF;X#f`r_7El6GX=|))j!C`H z5QI;H6`qKWyP|WEEVFL-BqzMCt&kQgN6=V@5IEK(@b9pgxIc1fdhl`LF!h)<6G6 zk61?{BK^hde;M|`u>U3Pe{o%dZ=#0!zsBzdx`ezEHT2D#0UJbXg^op4_WggI3fWAF zTyU}0Rkt0Upq#6}@?}+LSbx}e2{HaN{@#WRd%OhXp zoa;Z$Q{X16OTufI$iG#Fot$ncxKyvP(O%^JfH+a76Kei%Ssy-VFkNq#K1S_ z&`gLH3`xO;RI)q${alcmhR+LzLBL7{gKEI7#-cc2cOr2D))!+cJaJ+auwqBd@brdZ zxP4vGfXjF0*K)~^bo`BYcsM&Yn}TlT8%J0_s;iuViNRw0ute1GH%8nO^q0>ww(#~y zp*NZRS+Vg#i}hS{&B*K{fv(zudZ#12lGUAx)4i7PG6JK*-z?8F@0dAhX5PpdC^U}X z=qNdztit@54bMNX}p-zL;)L#c2?nL@>)(wAB&7ceuK8C zK;uom-ckj+laU35;}2JUSoDCS*T;saj`gegSWL7SI+z$TTu}^>BC+yo`E(?b;kSq| z6MG4qX!3K$hqzY?jQWiFTWSS9ZfHxKB$w z^g}+HX3$XWXJpM$?y{_JbIS~mhq>;XEy;Uxan73U4eK&hBz50&w#4e)kitv|%%n#Xz;{=!0_e=0+J2{aK(gc@9|NRnzA#*s?#<#ri{Sv|z2#ou#)p9ju^#{R#?yQzW@i|}5`db%B zI_{n%rIq(WqVMZQHp}EGpTKO3X9)V8W8oe70#2}9-t6q~TR{nxhwmk*rus(Pa17CpD}^*A7c8x9qdU?_teQ)&I- z$`9+SKYX|KfkE&RNh>#1Pplc)p|;N%sji(CHNKCR&8nz(5;Ju_{iqRYum;$t3MHm zIy<2IoT|wLvxfYB#5eoa7GH;nJo@moO?S!ceRj?s`EqjCTp%JDSlVQ`%pbBrlr&ME zuc67Wal2`&J$W1E{ezLKI8d1F&IJi}QxQ^|R7C8v=kC&x$)UJl1UQl|Y-vY+GIK$RsQ4x-Pbi%s(7v0&Bt<9J77C?gcKZb+uJf4Gk?Ol0;1b&g^d* z%R9))#*&E2QI&RwYw+8p^wo|CuT$+W)vPm9G3Cwrl3lq!=98=(+<8{1hEjK~v!dzf z^ww>Qd{!4m%~7fCYtrm0T)QRWeLL_{-sw%&OJg6D#nNst)ry>M=WjQ)S=xU31LiWl zfiGB;N>8!Psb$YL@NQHgQ{9 z1wf*0wP`Qnykv^wrt~EIu?!U;1&YRR5B^R=!7_px)Ny&j-M+^*nHJ1l8Y5fnW#(q3njJq2X zIbHnu^Ji)f7_p_Z+-3oF+J$}Ae0Oq`CPy&K5%)Rlx65lo3b=Wj3xA7t6 zoxJWVdDorblqgY@tCbCv2zucK)0&(ntu;bU*tZFCIuqhaANnfFowr*g$l_t}i1Rro zg!?eYOQ+msb{vOJ#B{6bSXbAHWJvBNl(*PX_GDP|;O!#b$Qgb9y!cYNXn1*@DZI_( zUS;|`lr&71XqYTxN%6eP?sa+Y4V`^e!%3rbyq$b9#`~+(d&pLDXVdABOU7)SynWJC z&Y8tk2Gf)uyKL?JDD8M(#yj2cq7x01e*!1_c;10N#Ms4lpk0@p8zMn z<|gzrgXF!~lINFgP8Wbfw#V+z5N6>rq@`D&!7g@N?03}>S<}Sv1NoL_Iq2$y0y;oN zcp~On;4!TpPcnN0$+;AQx@Bl1o#j%KBp1_olXF!m1R#3UxqI2i1n%O>=f+L)A(AlK9!#He&6#bHaIP>l5>+R$S27X|Ga2K&}&i@tIzw zHB?r~tuG^d%q2dcGBQH3;$%?q^{!guG9_BMIssY##V>9sz8l-1D6AM9b;#DaLVJ;i z)~^*@&s{VQV{6HoOR^V+YzirjP|^!DoGm*6ry^DL0YlOJEno8e__O?qj}(~7oj?e+ z1fZS}Ovl~>ZC{Fx6ef!HcCmB0eR}`FP0a89A|9B61>wjSeltvCKZ+Le zS?oR#f-oY|h+zvRE{6fWBHFAQC2>Gb;F$25Gzof%as_(|2H_a=1XqwUuvhy`>airL zFPSui3Yh79lQN0In9}3LL!zLJq4f`c@56_l;z^*O4b0?(CD~f-I;_iWwcS!RPh;YW zxI|}+W6L;zN~qtqCn9izfKaNDYc*|mI8kw}8F@5tsL(Nw)N{AWD7R$bOzrMVgmSD6 zB`bGbj>w(vOAX{@m$u-pbd;w6 z1!(pJ{=;SMlZ7Q$V{8k#K{AX4=faOPgcNHT|HvDJW{#W?ii}S?XcSp36lvW7Yx7uw zlNBA0DcuT)I2n{AnlV+UUNYAByw7mn`x0l%tuJ35mEw0n{7)QVp=;4relc7z#1_>2 zo)Fv%>{F1;3*p;?CW6|)aU(EZ;F``N>BzDqPY0tMzEj8IFowJ|C0K|hBhURr%)F9< ztHW0S7H^R%6XUic>?k9D7jntamoyF-eW9WN9V)&%ylP4eq_}V{^9xydlp{u{6dT9< z6B3=;i$a&UNs+brmkc-o89?{%gC`J>(6xOJrNC0wt0nd5^DI8nL>9Ik8SWTjOc95! z*)sAQyO>#z%Un)7zI}2l&bqe34*}P9rm}l{gI4GFd&@<$GvUW8p$JrEhSL#OeFhev zc7%vt$gGR!!6Bm(r`^OC?Lid?mrO z`n$C%>J_fU%j~{X?AWqOR&{pf7fva4l#$cm&BGXnkIBb}*{nFKPGZqC$@pnBJb(To z0DwEj;9_vrH2)s$s?>Q=(}nMlNqBjgeO8o+HC*_K)NY^}G4+o1MIaXkj` zmfJt0%E>*8^|8+{j4!1Dit(-E_p>l@YeN`S@`>&HXl>!BA&hch{WbjqiW&AM2RkE{E0Kp-rS#YQ}$u}iet|gK&|LbPkGKf!}o@oyY2g_E!JGYyY493yYOw;r{ejU zC?F-DkWE%~to(ACc$NgWACkf zDRCz0zPA+uUi-~KXLe87zk)efttZKpag$neS)7{pm4gden_Wtw{3;u6zeI}=)v*wr z4m;kHpiGH_s)mSrY71?3o><4KK5)N0YQ9(37WVsT(q8MFex#e7Jmq12)H2=4PCN^y zC#Su=YY*2=F=77yKX>oeBg>YYhaJxFVkZp92K?YBBaOtF>Bj8o$@^u)d@}q4Z0HYU zRb^LYS5{`7ymakqznG*%N)}CDBwLgySvn+Ta!d}b(TrzHv?xCG3~ay;CZ%Ts2E7SM z@QWX*2OEwrVy(PYR`0#fj0xMAGrPO1){3=OtXss2h%c1j&v3FjN?gvShC_49bX}SC zquM(gBnTxXIxB$+k#0V+(O4@^xBzPFDMhAnYoH-3?Nk+DoPpbf)=HBtZ&9SHWXP1F zx^MY$`BtE_j^+54y>Mn9*a?9R$|W$nLGD$t#b)dZL-*Awaw z+5J5oLS;k8?uVd)jJ5}RWQPaC6%Al}YOS5tG0NB;1gu#~ItLaQU(lh^2Lb z=dsjexP-*Xh#1sG!k!&kH zl-_PT5>KkV;3JL6Di!RM2`mbtYcGlU$aX|autDt56R?Qr?9aBO*@N6eb>@0FLC?y4 z_=4Eva!mqjB8D>1H{M(BVQ(#`2?~HC;>RK>M_j6cwCv} zE)kjFgJ{PJU$`H>O016^O!)k(IRbOl2kKX+TZ21$`%Q>L@s3p6Far{r04 zbcz8nPP&53Ic#v^0?!B%>jF+B8QJlP1|%Z3b$QoG2ev;Z4QP5Jv`3`-N$YdS)j$ka zTfmhCp>ruVpLMu%=}tqCf)i6kW$Dn=Ln9pRFE_YKoeiDW`|ZV^0&CEeV|=>3y@lW)K+L4|CDoba6(8vW}w}(FDYF$ zj0HsuY58Hj1xamZ?d(?j)v~JGJ#UV`4!Etkj{aa z)osIRz8K;N$AV+qFfMzRO3=vxQD4W?_!`h*Oq7^QLZqZFBhB!@B0cHqBT`#Dya}n` zF0i(osuwb$qE~g$8}g@hdN%NI%`uuP&1F^4976^}qK^?t=Nd_eQ%m0$XAX5bb~X3X zi3XZYj!-4Za+dX-rAb4QX{PMI&{u!AQ4kXgm}vbAyY}*r!FdB1$LtcOF?Y#!M^dJY2yrG)U@p5{>D|QnY~6N^5qT za_j7$$RISNmK<@(RrjU@N23|@#>74;8uQl3+8sk+amG9VT%k$pp463;M2JZn`?7lT z$Wd;u%vRrlcmd-muqGqrmEr9mxwh8O=M^bcl_gT5!>?f{*8@C&g-~Mo-p;1jgh`S`WRFnQoHq2MFStd<*)S1O5=*YsWEVaR}d=2~xMk86}P|WDc z;au_4CDCNWZe9?l*~*Kq4X94fXzII?sGE*BwL5eKmq=PIg5YW~Wf_ik@X8N|437#{ zL;c&Suxvy+e$AAB68a|!%%3*h*tXyc>v)m{$+g&$&LMe?HO=f3xv1r6BJ?Nfdlsar zSd#j-9>jj^N^_0(!vzA;wlfg$EnN6McK`&~i;5&wVAMgqozmdy(!Py7Tz~ys#b#AcVMCV-zEKkHa-JEa1th*0(rB3 zIaB9FHcrD)&fKIs;PC)Kx~6k0ZyuzN)M5OCrpO^d;tl$*Gt90Oaoj#^* zT5C`i92{53IM;^;n=-C2K@vV|0AE3mR3A|%;l@KzcHtD*~@A=hcJc;}q(pG?L z1r7lW{L=*C%M=~h-|41gWmnimml{xp-!q-FEaF$F!?wQ74tbeRR?4)YAqliUTF9il z)3Hx071&-v)M==VpU90 z4aQVMyg6j+eZ^1Q{Z^h0b=pr&Q0p)gf{_(m5Om)|aL^Vn34WRGS_qrsnbiMg%2k`f zuE^i?zo~CTBOwXsB#4lPB%Yu<7=Q$DSayBPdKv>BNX_)1Fu2tAQkCa%US0ob%RaS0>oJN)f`{f+W<%-ZyA6DHAIDWtRQq_ z1T6QSSdOkC54tND$=QCudEogWAVM-By1Rp+R(!1;2JeilD2(tXfEcnKnN#f!pK=mu*6;dG4*@ZvF)~8=NMn4U6D3Cgr_y-q3{Y5{+FnuKAb5o{ zu)g8<7d?a!<5?WTF^AC|V_0>oRVpqukSIp&;^h!eW7$S|WRC}&(TaieD79fJAXVR@B@NlR{cwJE4j)f;Ln{jvfe|ER1; zMlYb~Ts4g5GfsvC90R)kd?bldZ`X`osB89FZaA?_pE5^P zBP&gFISuV1l@r(Yr?uVjG77XgM~~Ev5?|E|ruF*Sk0tX^-+A3+2seI7nl!7LjMtw# zohns32~gR+tn4{DNs_-fsRqR+(pKGu9o6Vl zDo0ZN1`@oJ_?&Q(lbRX+$W-QOW)uka;-##Njh7VN@SM02l8_wLCVv0aL6vrQJTuXxxdMRL*kS z(Fbzdz2)>Ha4r-(CG9ddh@=CaZTMp&ook6vGo|KZv0;W+xQ^R&(jzBW;6}96Ct3j2 zq0D;&6ZI(eL)9aai<7a1bHWm}6m+LlP{leutj@#|nsnthDLxW1`URdqPf3qOhREuB zWvgpwNjSh`;a<2#Ffsu;y@(CIU_~VE@~pTEJh-wLgDaizfv~}y@FtdcI)Oz7N|_O! z3Rt_gC%g-0#Eac zY3CqCPbIs=gUOcxqtX7z-cOrnS9R)aNaRwEuC?u4ZWDW{92H}r$?ia6CCxW`nRDa8 z#5=%smDoq)PR0v?ooM70E6-#hdZ1* z=Uy-$_u@{(8eEq-!si=PxdBQ)64wpH_W<1(9gl8gb#1!C8Wad)V$};AX2^`q%;0sK!4>|KBWO_C(XP)Tjj2hmnyAVd_&peklLi^R`Pgt zBcKnrK+lC|k2tlFl)W)A47dU;xH>f5X4P?=Tmf`~8?)NUD>{1vZb|*1bLqxhzewYh zlQ_TbYWAvMk&*}u^BeQTq|)V?LgnW|y8*c;uxfUd|h&YHx93 z@KQ4ClX*KcH(fR$np#K88mmH*-BTSZ(je8&jajZ!kcalc8QmmqiPs15K$(#iX7>4e zB#E}qzg|4Ri5Q02qG%rJ+SyYt`Mq1kv$p$G0#D7GE%kTLx%?I=?r4kPby0r+lFZXH zJBKhz>p~_f$w1X*Mh|Ui2?%xnG)<=>2NWR3PvV8HABQBd8Ir?DY%$6$#~&9x9oID- zNQtdWYQa3bq-%c7+&rSnQ|;My6!gTA@TzyLniKZ|+n?vUA3ZcK^l8-n>BMtO@j{Ko z($hyMj&ageNa2$FPY%~K0#d&j=;Bz>6tVM-^1vm`1xG~Zqd&4S<*{(@J z$ZKo6x99+(L%_>R#3%u}ODmH|*mOi#Z)XxClyjo_lobUcY%Xg?j8o0kS>HSYqp8HB zUu^&b2QE2u`c~P7oikUeeyr=qtTBo%J8t=yw&LNO0j7jg1NN2uzHvrYVen~pT$#Zz zGxn??mG<7+TvTLSYzDoilj;%6yTm-Sh+SKoaNdMb^hj5H`$ThguLuN_VY9YG;>xIH z#KF+vT)<&vp~Dj^|te#qFvo<$f&d;g_EhIV*N(2S%`+ClFo;;c73CD_VpEggl zSu)Z%ch`9BNsE)3O$A&-3EEs`cgQhEBG>!q#J2Mi9oq=LG`$Vf zJs_8YO4>F%?na^eo<8sB%qIDajwrf5OxW*>D&3GWP!wl=_SIh9a68xTZzKv159bH=wbu2f!;)MXo-?X^*(R)`Z!+EckEt@dnAD}(JAz(} zS4kBqY{X5zR!KbjzF%C=$yG`(aBi_vu00wLoulUsi8>cm?|-Z}qG;DD>`z3(nkUZh zOP$buRstblhcGo%~E7CR`np22_=h}Fxir~E+D-znozX-UF}SYvU( zY8}sDOM3bwSIu-%8OIeGBOY>FH!(Q2s3|&ldCiL=*jstyw7#Q5$Ln-+p7zwX+{CfI z28v-ot)JO_lijy2X#&y2rNTZHP7KM_T`u`H@d1y~!CjlU@iiQ}ZR8k#7CA$6;IXaY z_PFk7ztA$4R1Sg`!s&Ihjn14X_HF$rOv6#SpAK21HF>Dk07G4qDjkQkWs;C8Bia-Z z$7bD05G5<#q(hNpGE@O3z-HctORDb!$qbokaK?&(eq!51AAoMc<$3i$1>pg;u7rc`v~%%`mBT*!1j!A^ zx?BTD?W5X{G;{7vypGnh%J5S^W^@A-w^K5IqGeIOQa=MSlp{Y}2L3Rb=Wni3=-#CX z2Ll8(!{ZCS+TY+*YB~ZZNbZ1;5yW>v;Hn?8D-mmV#--AnF(0~od>6+N7o@E$KMWOp zDB3hsJm~Ns9XN^5^wkf8JxV3U?D=mmcgcBe+jl?-pehmVCi%epNSf2-Ug^~l9wk~@zMBk+JWyZiuz#Nli{BE@uV9rur;!hs!e zOC$xz4`a8y$ux%lA+j{3_;%?D_Rbf0bH*c*e@ z?(s0KVe|MRlIZ0JLL}*usep4)r}qdJ2OJr-hqHEEHH^8hKu4D!kmDM0QQZM}hx$bp$I#-umm$DA@C!hl^e+a-QBvogNQl1H$(R@_1JyNsT@&Hr zbY^}XiK@@nI&9xXz+S;G0RYC;FNS(#?_pSG>zRjY(=8(1cf9@=6Vjy+*B;gKi0_&+6$hn@x z^GkC3v%I5g2XXZz*_$n*#EXS+0vPU|a4>b20d?0=o#j{3UHbIIFLCH_mG0R9|8*0u z-x)%DBs8LLM_w3Rk92Rg8rcBZ?^}zti_PdsHkh{a${g{?xjrB-_5x|b0Sf=Xe9{xl zRK4Qi`I%jxz%0a_cWZva!;|w>P63iB7Q)`hd&hAvr!|sCmtX+KsM-ka^hF=1)kh^u-+->B$AFcKrVE!{SrlR?D!L1^iy8o5#vlUFMHF;6Z16| zIF3u#kOV{mdVQcBkBm#Iv%WncORJBG2H+u6$W1``;rS{khbUR+J0dzM2_M^h`a{_b+?~mo;5bj+mm(Ry|8xU0B4Y` z=#F-y>n&_YnLKCKZRaDlqZcCy1h*FlqRv>qIUD0+u=�w>Fg=9CL=*H zKV~_~#|SIl?yLQz+=15N8J384m*xz>#9&z~z$h%V4zj6W;BBg1x=c#&&KYrT+fkcO zyQ;hB+)&>5mj{Cu!Uh+tS}z&14B*+3CM@)@WmcraVfGxo^@|@@rLg572pk#f3U&p?Wi4qlv)A~ zhtP&B?Q}Kl2zY8AatXaxzH~!_bXlrAM^blaFFoaDzJ*I?jackab94{7DwoBo=nj1q z03X65kiF&2rqZ@4S`}g{YYsV{>|bI)Osm)z9G*j0A9rV6ytmUpeLW$VmTiMDA|=4C zGhNO88~RIPGZ5S|M%>*Fl;n&vvYkJ)t~eBcr!L4O}7P8l3NuAyM2;PgV7>;!|eO+`%0QP|@6SWy;ikqU7*$~v>h7Q$~ zVIaehzVVT>1ptpeUGoSKf7!!0X<}dLZ81T!d-b!n=b=eZMFdrh;4;|LdvAe$FRSwaP2fU zr;_Xy`X`>JV3@ZxP@!Zmauj5tApm%6*|nTI&&R~^@sllwaHzRESp>kQzab3fT;%C>Urs>`;VTQ*;t8k{G*=3O#>b;(NN7 z=*);h1r3D)G164>1Axj+fpSbE)I-F2MfT0QuJ9y-2ULj(qmnkSQ{5s-A_%v@83?%6 zr)pj#02_$dHb0bU14~6lf<5y;wd_02E#-JUIhq2;;K?bQZ2o=7m1 z&H#RjlCcyvh@qr*=8s5iL5w{=|1L@bH`0!Jnm{x*RzQT~=L$NspT9$T`ilGKI%w33 zCy1^S%2{(vpTAudD9xanYUBVV1tuynu7e*HJh7*PkAYcY%LIEoeiCM2z0YbXJL<@! zEN?a9I}QH%J0(gs@S-#C!LpbRh{W$l2TWJv7r*qO&YK_LuIcFK`FP|R#fChRpA}vS z;&vJ0R5{AYE4es@-;its^a3R&lAQ0+aBRuXt>5dNp7u#AX|}gO+;?ZhgE?^@=(#Fy zvm)+~JMN8qOedrvo=-@_mrEgmX?LO61F|{9P`cO^^>9ob>LMLTm(;yESK>?Jt|IQy z)vt)hBfc>4D7qy6idLC=M@fqfgGACa1c1ZH3iDV$odFA%68A2c6$)6t2S9Od(Hr}} zvGG*@Gdi;?L}Kqr*jj7?eh1w!A-jzw-@kkZ!e?geH; zP=y8D`LhmiIPH1%*OB&4RzK2BFqm#glG)VhsWddyx7pQjn{yITW)f)9|3CQ7*pX5y zDdFMw?z5HLrz12YF_d$}nkQ1ZV3)!9%y(+S`Gb*)aaP--b8oqxR7>WqvHOD`!BQFU z15`j8?UDlI7u9ldt!1{Ad)I2~_RC4F$m1|Hf3eqsY77wT$)JOHPQ;h&$V)_A#b<9$ zB$^TNeRky!qL)V>>(S4;AgQ1e*OJgtopFXv{M-b*>6eeV>Zw@mujmGsKsB` z_;-F>sr87tY83!FV2=ZZLk}Z#Cix|}2>+%~>48?n2t<7(pZI7txAGD&K+SvZ9drf! zL&~*nC5*)boXHKlD~*8P3`xi6_jM5PXCZM>0(8Aa{n7yj-14(@=ga z{OkDCx)a`Em$@Oba=KKVR`Y(qN;NoTsp>Lg^GA2^E~c7Z6uMA#lEq4{t^|n_(aPv8 zjWY>cU~&hGl{~5BSqzWwpnLHhlrbQ73v(_jv3%IG#0NJ>aHbtgiiUr!dx2C!2LauG z2SD*V&x#YzMv@Vp21h@LD66me6^L}zI_KP5jJxjXyaP6-pBUp2r6`OdTJf$gL=;RX zBO8x;5KVdz5pP^Dh_+t{|Apkm%8;}B)#rwH2`aN5WeR2tS`BUUAiR}a zb&E9*X|{q9K<6#A5Howz+}}!dX70;vZ+CF*eubFVZQdO?BZsc*ywr4&H!C)-;RNfp zq^d@`*X+dlLRC6V(j%<6uV9V@k}M|y;ktk3Cse%Xh^y+%RVWTfsG67XT$OjFvsHJc z!o;VuzB?LCc2oiTbgI@V3Ceh9gaEp&ihGlV+k6do9@2Lh8pt1E4gIv~MxgCrHuj3!9b7Keb|jF{m{ zztLq3XPnXxZv#N~MgTN3N+CGViF>5oc*==MeOlZZw*ned zkA5Umi#QKG4*)a9h$_TS8#L2nrEwZef%# zpAPA3bRE^#5nTrU0`Q3La7)a|GlBYLvf{u+2h1r$DrAJST$=~19KT;Vem}`rIYYl6 zx&kS9_aGt5QcZCpo?oQ3$pHF}C%WHJk8Wj;y1dE&Udyh9f}qU6i;Tk$WM5kttmx+0Rb+SW03>rD78QMPfMYdhIxA@@fyX}+#%m;{j z#{c${pM1h3v8dRAs>z=+WK7MDNTtkwK!tB^8B*PZD^?}H>d*092!N+eUKz)%zR%Xk zvvf}m&05+B|Mr%an4 z7=J!*k#U10EfQX%*Kmh&?~we2|NVH%j`KREZ#S8Fk1X0dMHwGkLEzkZ@OX^x!uX5O z4qnqtE)d7(R^X8^1m{Q+Ozhwbkng!IwDF)!^6_hrBv)qh56x^z4BYN=x<8*O;R2I`|;Gf65tHWisRbSm{n+--RAAEBRuphYw=9H4r4dMxIAG z9Fd@tT6qm$6{x19H1WSb!~#O})PdcOr>(foYuX91e+N_5ogaPCL0qLDye1tyA~r?B zrY|yz-~L4DQwIj5nIxtIDy7n@=u`7km3NQdN%3kDId{JIX`f*)qW=LQoz}*u;@ZGa zdHlHN#&<#VsY;x8Srij*#a29gD1il$%NCn(`27F;u^$l%-2~yyy@Lu72bZ96F|gl) zXpZydCaxD*iOCWPUiW&GHy7}8KvEk)(uH@BKOB~V$1rcM12gxC$^@m2sw5P|Se%2wZ zR}ytO&_tv6TEICzU@B$xZ1u98O@T8=8)(9B4P8u+x zAId-?b3o-otph_~v%07jof<{p=pNa#DyRIgDl+Vootk6ckJOM|e^xj@HoT%0Uu~HP z4`&3IpZABMWm_Z`lHSOuoyc~jf^Uu-Tjx7QhKqT_d#4O{TKrY1zw# z-7iYH_%6OuC{pB+-;y zTpuhub+BMf2YMTi$}MgE9kU+mIt&xNAjWmZhl}oq6SKpJux3NdJ5KSt0vAE>yBu?0I9ICk=m7g!Ho#Hj^Dpi~~GAciu2l`NU;~?<#aW*PB zKWujDhV$t_@bq~wDnD7V`a1L-$5j)fE@CP(q9?=FFG`#bL@Jx;k z*;#W;=~4m)8-jQ&@R3aHCAWf;q9Byxz@E|>Nt)D~&=&9?tbvHZlLKPxw#Z62)#Zwe z%aZJb%$cF`wa4=mK4V2<9-AoIbCFrA>QoGWNysceHi{24X-sK~B(_ZjKW_78ogNV_ zev4%9W6>lGX&2n%AVcPPgvsNtv_6XA*6X4$sSR7y(88Az2c6dMR!h`enumDNa4yf65=EG1cEvN)V> zW9|V2GP(|ElYc;`ju~9c)7prT_KcL{J!3H;r%#3k_gQw#>RaT88c*US@mY<2EpXt? z(~e!c=s=-eO@jaEwte3uE)Cj?^=ur{BHvr1JB38mtK<}&eohh2^H~9a;zQTa>iW!@ z3Q8X~t)tcIB$g~wvq|gwI(@?0ACGmu*j}6wI0&DsuIcVg`mqCCAFjB5wfG;g=>F$V zKKW#75*447uPd(=!7<=p=s?aMSsh(>ZNn~j#sN7uYdU`h5_ma@EP3#70;6lh5@=fi z{4yMbTsWbDz+-$qHDeb?P4wB;IX5E_3i?kFLXaCIhhxPu_wB?2WKxN`s7Kk>;Y zI(?E3u%Ujgt5y&m6u`p+Eo$vC2 zFJUJ^LiHlY=?&|2Td7C|DGqRCP+^zK(Qg$NRAVKMN}#E!23M)x*Hzg9^YPYLrw4#= zsUHZt*kq&}G?pE+2RGf9A3#vztc-iQS~#^i|5$ZJv8lF1%16$t@qpv2l%$~cFlP+# zvgM$R{uj>2r+WEA@RGz2%qjm1J3Jm_7WwF1r6{5hmnMQ7cB9=@Cw~l_ND$c5d;n=I z*NkUKWh}P(pCs?lg1qb~E!=C=+8U-u6(D#kAm~}c`NgcsA5V0gq>UAZ=CLE0V4quz ztn=dJvpO@HFcS7Q`92dhr%3NfA|WNrD!c6#85E<$Y!P^mAQkjIbod?VDtS(x)bNx6 z%K@bHPldH^d69zK0J-R8a(iUNq+7&%gugtvA+xBK(V?oVHPW#onh3PVD@Z)dR>(IC`DVtala%7D<@MzUsC}O)ws8#BXr!0wKM3fhL{e z$l|(_O^rBwxUQ)xCbG)%4nv%WS`Wi-kWn#xB$KX-TQFt+Q2mrW@rcBb~}rX+~>C^up7)<5A(FTc+Zz$i8ckvI<8&DY6^R;eP1ajs#%DpKwMhxPsERyR5A9 zJ+0iDvt2>^CSt3KdJ!MO12oRLyjA(D_X_Z1uSCToEw2dzkD=^`Y5AexohPh%2O;O1n3T)BzEkMfzyc z_G_{kg8~dYqRC{}1!Bz;y#BYTqR!o@^9nB+$8=L2tB#1!+#vlQF(%*BU(yVNq|tnB zssc-Sv6+Vo7!W`Y1p*vc$gfQ`a^7-_zxv}p9NxkNc-gAn&~2={?M{;yJL6E7F&^$E`B`jB5F*~3X?oM7 z#qkIfTyP5D?w#!j~94atLUhH}*30=WKk_9v1>l}IiA#4aeO*Wh+E#}m$ zHGA!$+u&5PxE$R1_VN)j$0Va^vf^k0ihKgSA)0DN)SeP`8HC+aM4buJvf5m+q@-9J zHg>EeCnw3E!x5vgkp;t9D96U{|HRCK*5@TB0q*ip(wY;Ura)%itWp5a3Wfn)edW{h z=ZO2f;XE0n@%jL9_i+XUv99cqQnYGRQjmMbOR8x6i0Zhtd>ek&QX|nde5t{U7XT~i z8gYF$j;a!Pb|6(kTUQB&MjY!QlZXL4%VAb;NdqE@Pt|dB9pIsD8ip`I+JUsgOPn-A zi^vU~II=i)WvCKKm4vHkRA`0^r#8IMM?&*Sg;**u4oEZ|J?#cJju30XRa{*qVU&j= z&l+VGQyAj0G~>IrhnU+*9mgIj1(IE)qN}MWXhWc{)VnaG%^Nt=YR*ti5@O7Ghaf-S z4n1F0_4=yrP*vRWOl|QYLNEHDzweZ>w-f6DebQ`HE;k=5>ZjHcqZh|J)rOg_v@{ul&D4RDx6ZT~b zby+EmsCDN?wr-=}bhNCbju@$SB+xv6UT&~g6Fos5g6BDEYgErw^US-*uc~p(mZh*nPQTD;5)Pd0>0&v62Kb&W#W%hoe7EFRAlB4vsW~X(bj<8qV|5 zl`x9!C*Cx!eL?RcH6^h>zG8-gA<2fL^u*p0UeNsOKl#ZgbhG4)-OEXZvt!;=8(JEi zRCts~c${CDWcrc_abi`$g1JD?zY9hQA-$d+NdY{7Qu0U_a^PEjUDb zbUx$5WaPtSxFcLQzbENi327m8bT+$=PQfkAf5hOD4T=DD-H@o1wNJDl{kwP!kLUC> zI7%7)IwE|b;!r5=Ci73oY-8V1ew5?#fM?~NlXVH@8!AP9fS4l&{e%mf{nx=6!v6AiiR26$HU{5y^^^G6~ z(o*NBxvB6x1mGyVGhQ4|vsE(NyQHrRb(ISP)IAt?@C?lvKlp-OSbFn~g7i`taI13- z`Z#qbu;w6+C|kY4TS1K=d4#!j-vMjF8qS3?H8VOh=6$y{ut?9C$1l$^^7N719|~eN z&d5UwDt$os)NtLNw`-MNDSH6XX>5V&^g^!kK8l*3YBEpt?-Tx z#J2jhfW3x1Gqgxp`ccke#zfS}}XPbnkG}qRl;Qv(>h$k&{Qa znc#?70~4Et&w=w58=B26-dY%rj&mW=iBqQ=^;BI~$8?P+NraNUZ-waw=>m9254i|E zqxRcq`C);>ST`6mofS%(gIz%}!GtlSJs;!CviXs4`^`;|TYCr0C@qvfz3-hy!b z@Q#P{Cl5oDj|>&|i;!QjN_Nu#P*zI60da6!!y`2LqS0{Y{qijB+aM$mg1RSdbud;**40v-;)P-vxwq-Ryg zThst@hPLIt$SjR2u@;sa0zb!BZeGwCaZhU36G@c18p-&`<3;Bf5pL-qbx5X`Ht5Dg z3=Xw|Wd~O_2!vv8Zs`gkVdX0a17IJ5xxItZiUNqDB#kbEdn&2M^`^^EjMl~$vbNcD zBq~s&m%WFeQdW5beMSc(us=4bmfE%*4!LTVS8^KT zD0ID8(&ilj9ABMgeH0yclkQ;vQI!D8<}>*BwyJQF?co|#;~i%J)q*W!#mVR`5trnEW5wxvc1R@(xCZ`HT>$u?FRp(<{!{9gz`X>vXT!NP z@b2tS5rmxq;q;Zt;lVCUMTXZVV$0WwOS!cfR6d}in(O(W z5>r2*9!HhCiJt&y&U5a(PpNia5BHdCXxg$6DsxWSc%;?(byn=nTbd~GtSSXF!$a;3 z(hfZTF8S1QoG(r*wgNYC0)C3V3qD1J|3{EIbtFtwG60uKftr|E`mwD1|?0zihe0@CoM*@d9IPP$Ej+?D=ZFgFT5Q2>4EA(DeHoma5ug$@QQJyS00K!99|J(C(0D~c z-GNTYLcs!B4YI%JKS<{KtRvO$Y;BL7Is8?)bUxAzW94+sRWuWg#mQ99)?-z$7Tj(~ zBxFI;qBAW6as!(R`PFTNK&Zdu+)cCsyJkb8W{T503*BH%GVd;VGH+HkKyhsIuzNyW zIRB*mVeVJfah+#$z-%@(Tf%G`NSzQO?wlxiwA{PMJX!Z^EbJ}PA%~-t}tA z?T{$bq2)&D%7WRAdcmD&xflCC^QI!NB6o;khYTSYg^_Wr8&(CH&f`%lCa zZncjl5>t(gYg{R$DZ%jv%aa{V1W;cq$FodHR$k0hWa+WZgl!pK^ zE}Q^Vq|QLcief)-3?EO;CNd=S`7Lk=?_tN{%5XjQF6)L=m!H5n@uW)VV%F(F@c{AS zfr@8Z>^zA8iA#boNVwB{BxaUw0Sd^37^+g@;s#z)2avxhlG^cN?`0|kwwMia=!P%V zW80(S6mGkZrms9$=!!luEHw|CE)1WQJAXFr$TRo_8zyum@In0CKuuQD7V#A~Ym-;F&;&>%y?n@*uor#XB63K3fq z39a?2(F};l$juwNQIa`NgqFtu=i<_$P6&d%n z$9;+t_(gK&6HXtZ@!~yTuRg;DM0_Kg|HTuJN`m`8$Lgq ztE%j{VOB=?4<)DlDK$e2ij!W|_iGlifI!dE56M-K-!P3f&e>IwW@Y+_-6utXQV9S@ zIOLHC2e$#LPFrVHpG(r0NrF)&JwV4KF(*>=d2Rr#8#yEq6`PziOPVze=-s69+0fqn64E;m7 zh%`D6na==@9|E+HjI9nT(ZBa&Ff6l0nRJ)+u75!pLP8{AD6A2{*OS7m z5OEe{i+Z)I$}=9@=+c!0F}65FaUitC`P3z1j~{6mQ$$LUBD+t`2G81-D;tjeP$IxH z(8kY)M?MA}QHiR@wOE31#a)l4kE*HmVBiKq6yuUep-IJr+i}Eg4H%7FkAaB#ehSvK zx7bhi4_vOeM`G2wT4$2Z^0SWW@k66LyfPY#mOj!gokCkgK8hEI+R_5aNNRje*9OM{ z+}9*)k)D6dTEV&~=?omyA-=_+NJzL+=p#s^O}iCoudC;8KIJ&xd=*yBd9rZIQ`=>= zDl%i0wmbDT<170d#I&x8>VTRC9^z*cxLQnzV|+Wt9MClGYvEx9VgYHIXssp$smYvV4Ex3_VDOJw_lO(chw{9 zkH@rszaBry+M0Op!KRbbGjTePb^vVT?2*}?X1-x7AVT$1;yqE|X14Y7_sZ-Zu@&Rj zT5s~2J&LcBMgnO>;P$XnB|PHX(Xu`xi4xLQ=DUgn%50xoi!b*NU2)d-%4-DokKg|l z5^#>l@V94E-SfBTW5B`bR7`126z0A*^jZMRF=vzoTYEbQ zhwyx4o;!K7K?W(>v2 z4$ttkqT>?@sGx0N0nyO6J#YLA8;JIS6;;cT7M3_On`JN`*OS@Q*{W*Ge9u}@s5ihR zkJKn$YD27L3RysQKnt_ljuu+ZjIsxNz;uGu=2hcxueVWloMpa9w-sVJA(%fxY{E_U zhJ)zqlyi+#<%4YMNIN$7MiTY+i`(y|K8%-^Ii9d%7(0eagP8lbN+GV-{A^@@= zj*h0urn|`D{u1eQzeTcc+IEKyR?$b|Ti@Db>rp!kExey6%jcarU3S*kIM|P*-zWZi zTiMgqy07>N3?bTecQ_yvtc8QlDQzJVEjA%jphn@nu!1`rdfVsk)m!AZp)K-&JWF-D z?^XC)Gr!!fkqZx5OtSK}? zpPaJXeAAid{GN_8ZG7a#YW%ZLKKY~|VZN*oP_PB6z^coOmjB)0@p6>yq%l0(j|0*y zI9yX@sIWLoq7&OJv&D`}rI2qqfe{O-F!3_XNH>mTNO0nS%aAk!IG}kM2`q|9g!b$( z(q$Z#_h3>qkfNkVcy>ervJ{<`30d%oW7qgAKdHd=#P3!nud&7~_DCXRS1*I3hxZvB zW?89>`E+vl<`GD;H?E_8aYFvZU~6>KR%;R|iUYs+JY^}X{Wl~Dap9gyB!6e+RuvFx z#z%B6ve~uZ`FrnaDws7z=bP#;zz@zV9Q`+*Ev2TUf*C2duL+x6{rq>D(FlO0>@88j z7w&}8ifQTM1{Pbmfns7h^P?p{8O$Z=y!Z;-!8$J)OWhk>vk_pG{8-?e}fl zlOBgw*6j15X}dBVaUs&B{j0o-#=RbD&gRWgf3vZ9o7Gh3+H$`z%XKnvz}CfM+uGMZ_U-9Cd6@~$TqLABa+EBI>O1n#UezQ0J@>kqd$wzS2NdNW@v zzO!6?;ALVJS@T4f%#A-=>ALBjm>200m{Nw+6@ASnK-Sz~kVUvaj-hX2<$)Vu!Bb5}8`1&yh50)_q!+boy4^R$+(D>iKSH z8#tg5{cu2_gu($^*V!pEl{00X&g(@kUGjB?$Iy$S@<1>q>C9UVeA^fmFi)gX@MVvP zfFt1HT7*{of2)Y$_r53M9+PoKBaS(%);qlE&e<48G;P5IvrXQ7E<^ZdHQgYH6NB?U zH+UYDS*x>@9|mWI13Dq}Z0RCm;L_Ed%Z^2c`jUt1UvlLCy0mM%r^j38aze@S&VlLt^Hj)V_CdYwaLKDtwdU5Q-B(JVInvDRFJjaIq({QYKIEIpJn`R`@`dCmr$8buLg#)jU>=Er`#F9u>LR zD5N6N1?P^(H{vPeg1T+wwwYB8BiE&>Gbmj>_XuU>G-W&5pn73k?3T#21H(lQi?iGS zX}tyRp=_8#(Xy7{^ubyDViw)V@LT|<$?WTTa_l3diT%^(OBrt=il==U z*+G|-=4X=aImQ{*MF4zqhVvtEPAnE&l{+hvQn5SC&EbTo;=>Wcu1bE+-gE^7(|u0I zT1i~lrg#)SbhL{1X|p@zHCu^Yn~q!;3dt&M0T`C&)-I>xe+TK64%@8RS@1T(3m4pI zU=nNcIyY}P@j591O+!bKq|LJ(pX91Gqb;AB^u38#AfoxGj&$^dBXlh`E0QoZZg`<( zyi2hmk%Xr*KOFE{w@RN#Nth4D4-`#W{iLL%`^yr(DiK>Ftm%c@172+ z$uZvu*XBovO@&4A7)zCqQKk^{wcGXaeEY6$^TyoQ>3wSkw!K+wEmF7`Ujd+HhRhdr zb5V7@ST$x;8vwhFa%+BI-Q(K36z>gNRX!dEHTkR@U zBuy1F=)E?(Bkf2A-4&a^PH5P4M-oGrB&?^8MJi$vDXAO8odSm#b~23z4re`UQ$K$b z;d>b;RZB}*M_3%C1Q71lRnzfYXlG@?-+7-<$Ozj zm4k|_+rGEz=ad!Z%{_b@sH=5b&_-$>b8&3%-^5`$zzaS+^Kl_OWbB81$T^DdDO;~o z5)L}{Ale`wBcO&F8q{YUEJ-{h8WCJ7ri^u8n*gNU5VN3qQ*SHc=dCe{TKj|V{o`-{ z!GHe;-~GeC^apS8ula{R^H2WTAO5WQL`>M6pJ=-^Svv}Ilf)1L-_7&emHQG>oc?(+ zwd<~iFr{bqP!+J_Sn4N`h4h*^)^Lg>;(Z)EFQB|$XDQEbWh!90u5LOy;?|w{KmN-1 zf37aS|8oce&JnFqZ`r(@<^Wx5iId%XyVU2vB!=eZ?)h`op^9eg2uSqtbrV_5^S6pe zYAZz$M~f(E)H|4mie?!;1*R@h=TA=+&rgLELe1rxN>_LkTDJ&jzG28%o~hfRPx=>= zR!iS67jPiQY5hNB+I@8*~ z71eYtl!1kp_~GJqKf7j5XaB#9Px;6=%(FNx@Oxzx@)k%dmnd|eqU=!JlB<#C=!QO5CK%M!O%yS{nm&*C1axQB{Al% zYxdJ}h_12xgajj_$Kq?Ms>~Lc!+Dy5cvMhEE>5F-1<~)@ye=;4#ugxS9HXUEfw4H* zk7?WRH8d*6*@6v;g9By_%3iY6w~+eA^Nc=V&P=!4JexAWNyK$dm1;9ua)?va4zn|= zNLNKHW%2GYhu2k(7-iZ#DPQ3iedSEn#;^axC!f^i##+-!*yZhjw=5wQaOvoy4}sY& zu(HQK^X{hRU^)G#tmN*9lZ6A~EJ2xR5Y;sW7M=V>Cj!7y^G&J&1wtJq4)trDSC+(3 znj7j619}~g`Qm3Bhkwipx*5*^sXecGH^GyXN^pGli z0AOm=ERN8%DB=9?`}<+D9yc-XhR0~C#1o=UCv=AQ>=Z%>5Oq^xdXCWFtcL#>bw_>9 zK1ERO76x4cRRQnFxtz=|bERui>L1je7SFGw6P?lyz_$zn!Al6h4T$0D0}qwMQ8I0+ zA(h+&9{geaE56NIQYMHU6|-Q@fxwcp=SVshJ*6@LI_+57obY}h>e??4Ev$Nt*5|6Xp`fn?hsO;Qh*Qmkp*LtG`c&H-e{1Q zayTZ?{>h(zllG)_@dIWTEXMRN< zibeO5e`xQO!$+DPV z{=7sST}BJtTlS2a!Ufr}IN{95DY&I=w_XEcoz!iJxn^_7G@PL~@`h8CN5Hk3_Pp03 zE}QHs{QT|bZ#FDa<|#>{ctY#g61UiG_S1~7(PiJK(uDRw8~Ne+AJ$valMY$&L{-PA z0+GP&!J+QbOEb~r#YuBSUvit9$m`B1MJ4G|PqeJchy44$FzIsNz})>dn(%uvle?@T zDRtK!fh29R5G*5UCVh7&JyvKz6Zgy!Rm7dI>N5bm5v|U@T8l6ed|L$*57_aH;pEOu zfgs;;vLBLgzW;Nb_D@vskE0oTulMVSJl$beqcpJ#hgkq&rUrP~Y6x`Hc|vSmka4)4M%wTHjbU`EPcn#v$MLW;AN z^-%cOamM>8TeOGTC69-gLbfrD3Dy-}Pgd2DT@gtI<5$2APX)X5Gdjnq&@S&?ftUP@ z^*X!W$b&QjT*0<}{@#IiLk@L*FjF3XHFFS){N_AE7~1(NUo9GxhlstgOrxw&E`#h z3($G2dUI1$-R}AKltc5Ot7{0Y!;YIBRvcY&yXgC^eRD^R{4k65ay%Eja)*`xF=B4$ zRM^tyc|#{dU7mAuat`;-rfSR0eR5srg6gdQd>PTvfT!e5dvUHS7Wvu(TOG#BH>q}K zZ7TrD5N*-{D+T*RLN6`T$pJK;250GL>#53_IpW9S(LTGAuOJ3_(`PmA@QAYDa2=3^ zpsvh5p8~D?4YK--m%lr5Ne>x)ng&sQS(yMf{D7i^srt7et$m7nkUR}p5_-h&BD^im z){x@J?A6?3S2xaVHpEd0Vbz43C0=e zWb^i8v>NsQ#ArWqED3J<@b&}MeiTUij7Mv`Lgc%$&WndKcjkl%;NKf4X(qB?+?HH z0ck?`cLd7-zfk^S)7;A$M1YkgT8O1zHVQMuffB1c6c2ccX1Fo<65eW%){4a0o9LGD z%xF}kkSkA1*j&qosGICIg6tL~9Yztg%ANpS4sW5V%~(TQjyRmyqf8%{^xbf=ReRcMygc9_@KxgxkW{7d z#M&TO2ak%_p@1Kk#z)in%AAfJxi^-_J}npADilz7b>fUqJN6gD(?UZcv5gsUB$ot| zYRW^NBWSVPinDWY)P=LKtnfltwVVLXRkiH(yiijg#aAaHy4L!kLNYG( zYRa!=s)*4*|?d1p`vS@T_r9+8>=J)4%8#Oc{;x%ExOG27&hT)r>CqZAtgEm2XMlC0+mdJLTke z5jl#gYKojuDEB$(wb|?o>0+}sJVtW<>Q)ZO$AO^#qbA6x zsrwGN2yov2!UXC6RY7toAis@p!kVjWdJoAI7gLH%S?MZgNLAXZKow3WBuU<;zw#}z z4(!h#NHiusa%60sbx*JoUHtup$R-PYeGlP<3Rj5Bvzz?;BO~h5-aWQ>U@rF-Lu!nY zxtWiRG8j&BywOonuQP0TQbdniu8UM|6|7w(Qc#I4ouF^dkl?=oAuD$7T!6U2DSoYe zq7wNo2>CnL@bobXI0QDTe*;oV6yF8WrxqNK)>Y9RRsc7xvy&2lky!qypgOQ0EZ7$L2PHf^%G<76n|&aquvFzcy7msrlEgF(lbCH)oRT zDl4EO#9%;je`(;_7*_I|mLrTn_W~T$5_coW@sXUi`DJml6 zNPQ&z4v#UMXmgz&xp$YPNyQ@duHxLP@_nGccOB#RKk0KJ@)9E%cw;p=+@q1lwR}=e ze1_y0f?a~m;4o1mv8RC~4YhQl9OtzEDARYUv~_b2n_*xbUhSRW7k1@Q?!Bsb-u|5#kS%r(*HEWvD&GjH|> zIJ@0iM-sL>f#9UWB(FAxbLZ1if3#{}*1Y2-oX6%S3U0xB$#N265y4$C-JR&y^vx0f z?mxr7M>x`@T}uD1)+wzWC|?O9e%LlG-MdhT$F%s8z=}A>io?V?t&1P@#PF1u9@9gOK0Mb!n` zA_;nli{vp(Rq~!hSc$$1s@szLw*{3^|2$2}Y^Ssw55!`dyNG_d9)=7J6;DMr_w+N% zg}(=p(fxAoJo7QI9&0X)TCPt=6=^q4VD}w!ZDyZz?1{EWIAPge{4=y)vK~&ZhoL)U z$SW`Tqb)%xW}G>#=ox}J6*8&}$rn`4q-}=9S z!#5bPS4uc0ybchI(TGVHc`VcQj&!<~VMQm}ufZ@|{8FT?DcHc96xdohC&9SsO8SCi zTGc$jj6ExOZ6lJ7uFhn$P!X+~Fh+2Pn5 znxs=DZ`G)PB=&I(^990<-AC$*bvLV>EQC|GHUr>YIj^0VGio0s=Hr#wU**fa=BG$R zGyttBJs`M*=H!AnKzS_pwd>NgzpnXZrJ5LxmwWCBf}KKx5|s-&PPc-$60@d;D_Tic zHh@X0eWuzAc`$+h!R^U#Ty9XD=h9+RE$|5r(?r_+aQ+LbQwOYuok>C_JerqQ6H|vn z7|-rUF-k(UimWQ}3JwD=-Fag+AzS^|`_wpNRv|AXSOuxAJ~9SAtl|09<;o4(mt(qQ z6*7Nf);$uxisF2dO`v>>7U?>PN+^h^3Yay@>#PC@@W->tkrZpPV(aWoV)sM+o)vX` zb1%MH@S8T@FeB-XmyOSXh{Qlzavwa(NYcEm=vXFU>1oC~IxO}joy1iOzy4}dZKWk@ z#(Pb&BrUbF(Oxp@O=-CuNp^Pz01aGw>P@rE&QT)({(uX&PFEz7S~IXZFK51Dl8!aVC%>EqpkRQoEij2e;(ic~83n5~}Q>Wd=`>am(9|=Bi=`bk#0%A^s39 z#KR5z0bCHQO;@e(Cf%n`9m)T+KH!g^t#>7X@qBrWX|hh!YQkzwEf97T;hesp8B2H2 z#^>kR{50FHamHaK1Bj5tyd~PUO3O$qyE5DKQHnBb!qEZDuV7bvs^XP;n^|MACXZBtRt#8-Gd*eQ*wLrJrxZR$s z#J>8lN^6lj{D_Yq&-u`6FOjItOw1C8Y?D_nusQqyE{7k>WOPH4gz{{|!2Cp4)xLV1 zj2J0fA)(RQ-%(dwwr$rNM)JGT6_+nIFaA)rqbHHX#liDuhZq=S;<(a{mb!tC@9^$i zr*taSGl$YA95};_0abj2>cQXBQ0C^#_d7;iJ$FK4z4GivHVUQP*R8k{IfRf;2B>HV^$}O_+{Rq<2dB_x5A$jFtjXK@I+Eyt7>;Z5# zwJ=i^(qoY!i>^SOrVbJJ{HTNr9!6%B1qP9Ev-zl1j}p7r?rE%=bJ zA6yPtn#tD&4dVGb@BtyRqhK&8Qqd-U{v5#?4S>iubQAVzN|`t}Z4$4#X8xUVOrL)P z&W{-!glcYEl;Ul5fNx~icCb{!(2r=IaU>s8M$tpnrci#zUm4hiaG#*tnxw@|#f0I% zFAu1ytDZSzX#l}Pj#bZ~$60eo=ieLKyntg7CfPbXe~#4C)ajlaiIY=$MfdzIK;a&c zwcHJ6)K&oB#pZz%Xo-e-K%-f5XY^LpHvj%F(2D&2FW}MQD!Fkv-M3^Mbm(79o@-CO zzp|L-3q=uk!zpoLHSG;qP0^I}&&=K0UrhX`T-hfH?$I-fyxvp;@{I~|p z8&_v3d>|e)=IY`3d-eXHds?q_jm)Z}?XN(7<~HHcpyI)h+oAj&k&tZrir4di&%X8c{tgN1Yrv*Yloh{!|B#=z}%lCD5K;(_=S(S)c zzX}hOb=c3o+mptz&&zq>k2;IKPZD@{g!ukPKmVVbjHW}s{blQqe);d3@BYC*GC$++ zw_TP#k|6&_zx*BZpZ|?tFrRkMzlkV2_M4zj|2y-K|K=~5`~TsW0JqliN8dC5*kG^aE@!Q`s-#q_=5-P`rKKXm*KmV0qrCaV>=6wM# z+&}u|Z<~Mo=YP@MbkD!d-Xg|g=WNG(_x3-uJfD7iZrK6-_;ZlR-o5>6kd)rN{f{g= zp&x$%57+PB{>R9n@$T(^V=NEKMg3p40#y8amW`r63kmMs+rJJA-@CVe6)7^_z5OPn z@po_k3XBZz-u|b?0yAv%;m=#XO+S7Ex7NG2f5Wmt_~C|4YlpcRz#G_wMaqMy`-|Z-3SD@#D9R%SrRm@!x{4<-50k%kn|# zzlG`N-P`{R$v@w{{gxGAP=DVFK=9kptlqu-72|TU9W?)o@TqwB_Ip-{zy1*p_;+vr z3(EtgU$Z<=`gI&6@814R%LfPkuJOMkrxW}*nr^kByO*CP;8RYz>MApD&6^c_A{^J- z^7eWmWD!{Wy6!%Jh7`J_v8Hvft?IL}I>W>S=Nme*n|*pt&Btn0(9zm_l|Fp_&1St% zAM}UouZ{~!x#6RS;UoDe)OU;-d!~c_tMdkcB`Y6~o7ncBjvCpHi!L@phi6@Fo=DM} zx6*$+X@x#5b>Y61{=+M+91!@w%Slo^&70xRpMR^HwR0equgD&!?F=7YYbQr)w~Hq7 z`6&8AJ>~p`-aqC@ZQq=;)toYv=hcih71aebG5ygceWWnss33-#+Gb_VIi6Zh3D$5J z1(Md~&DmV#*z1Q5*fuIHD2a=7-ykqZvi0useTNqnYs0Qo;Oij@11RkhZxTDw-&s$Q$su2WlAmQObZ z3^@LYZETDKZTAHl8`}*w=5jIjVZ&o2kgf#0SvqvnJY7YKlt@veeBYRJ{Z-Z8=QNLBC|W7dAs`sREe~VJbc{)9hLf_f%ba()gY)@2IxA*{D^Z&$!y= z!^@&vKl(-2p2S({Ds9-08-|EM|4Oa9`|}Pd-We&!HMTm)v3FC$|L}c+dBl+ZDe}=Y zs*NuW249zUMSe*dat6Puh^X|Em=ii4NJ63*92Ged4-^t|M@4uUiolW}V5_`56U`QP z0wQk^Kr-YolKh^!35T*yShG80(Ih4;a+y0OB$80rg|=_(d<$mWB40^Vddo*#OWAQ< zBv+R?l*~Rsm!QW)q=DS|>Zxa+7yUi2YN)L$D|t_{g=8Ftb=YoJXXB?rRag9w__a7d z<^YO~>-(s1)J1g)mDTJpAg=51H@B~{E!jh44~5&qjhS6M;&8r`^yOTKb$R>BPX#3X z4RyK}PA6%$3c4ExO64T56tRE;H+Gp*h1+C>7?j6tclth)vV*e{NOzSJq8%7 z`)uYbm=()3JqcM1M}yo=vT5c&de4Ig>Qayo8%Kn=jkP;$Wlvz3nxRpH0t;3Xj*7Bf zrD}{YLjFrO2EWKRS$Qxz01RH}6VOO*xoYB&lHN^)XPtcDzT{YWTUX|bam*`WY(p?+ zjLt?BVGANw-JeuB})3!P5VDFS+M3e&YQD)FU@Pb5{tSG7zq-$-xMX3yS=%?m>viUV6F)wBi`*w46i2D-9Vc+>Jo$>ON#}dW?h-YJf!Yg zHI)f_KW~+}di&+Z+Q?Sf-DJatZZvM4F>A{O<6@-+iz?j-Mwr!oys^Ib&F_8tdw>7E zZ+!o^zyFH){a?o)U!y;5l@*MjuP|_iUeU^%vlSnxwwCEV%{EIuJebX@HLq{KQ1diiUHN2Mh<~R4n?l$x`4;& zR@GWwnvuB6yp!A2bdsqg+w-iweY4F=W6T~ybfeuawbY;8Ujk@B%vS8xX?khE9L7K% zERCEdcbs&3zRoT67039BPcB9F-QTsgw{P%>pQZEW_G^Z^5N)@R1apCZS^xO@Z~o)! zU;f9}|J6Uf{_TH!{cm6XXk*=|@<`9m(V3r5WH zVrEkq>iiYMUttH8>7p9|tTqX+Z#U|gMmJdR{OjL(`_rF(`sA;lKKb0!SDrk5^4mZD z#wVXX`3or0n=1ybP)S;~#;V2Kl;QE zzldMH^20Z+)e=?BO!|!#SysGkVAZum>*PMtjXYmmuZm_}LEKs{Fl%yv5+5}~M{X zffx^Cd_`Ic<0N_NvU$Yw`;G5?<9mN6OuI!>rq`Uiy9$>2!8o+oSMibFCe>A{Y#Ib=Kq*AU zt!KglS7Q%lN$d1VfRPHFhW!hhXoY<@OKZ&qSbXPW#{c=t4<7IoA~x7UphA_gXLg57 ze+n6CdLV0vncpn&Z)+XW)haE7_qMRqbEsLHSUa*Ir0b$Y)vvK&utBFM31mSVTP)xf zwL#Zoa`CmZY1d}|nlHCJhxVeVU3+{7`q(@)jg z*>Uxn;yT5Odr9w=4YahKpzOTdcWYlfSc1ZBN*lMDo^z%vrC6nPbNoK-L1K5Lej%R*ubGG>iw|1^ivAtar{VOb946m^x%v zNsB|e!*Fg%v{G32eRsdqEmLz9w*LjnBa9}n(mQGd6_CDE&ycE9nGeN1Yh65k^o$JjIZTO_f5@|CWvZXt9@Z&V?^@vb@6L^` z7tZcQn{hkkKPtyb^*7Zlsst&W3|R+{E&3cuwX<%d8B~YujrlCEi6>D z#(-}MtN%q3-B~sA)2?S|0kL;Xx#*JLR%F}Wq|eCx{`XApP2?gP+d3l;cA5Diu}B1o z7RP{kk?K$tEC(B;6IqP$lv~&XTbLccnnr-+ zAk{Mx!8+M0xk8uWi*3FUXGlry82`JWJ;~M#C)UWk4Xoy-;!R0yq7k%O z>spbWbzr6QWqm-QHGSlv&S09%+AKSmeM0Lb%TWT@a2pl9)ql?j2QtE!;%r{GJ8{{h z3ms#H*ew>Bue*!}w|SH9Dp~@n4IN-^4h|HIHzc0;QfP%M6gD8abVSj!Jk3Z0U(IH` zb=a>6V$nA1D(e#M~S+BM3u^ zel)|Brz1isG3FaSMeeM9EgrG8fbTa}FT|Laq;i2Gw5P|x-3^BwgLK$&$ak^eZ6Qtj zNp2%67JT;{Lx_$CLA66reF^X(_O;oe)GBvo=I8u?K?*$$GgMdTw0RV(;neAtkuwO4 z*1>{cA3_<-`=U;cAr{7T!krrlK5MG*V~c2N9~M7L!Pz!fn}TpdSQ}<9%vh%6n7LOZ zRLmMGNIK(Z?0DiTFz_4g<)}h{L2s?Yq~Fer0F~8JIbHH!^I`o6CRqdfDSu1`3|I#T zq**uGS4e~!OL3;Tb@h zKs|}o_gA$D+|}upt~qo_$>gF;oCQY-o7z|&%4ZJSj`$5QcZs16!E`+49i^%AT3W=1 z=w_T23v2wPafKDFP|eQN8i&n7wtQZE5`}cWHglLFTM2cC`NNsk2@tgX4abz>b*IwI z^OeW;gG^gl{Lq_MRmyfp-%k_8yobrwOpzejeu)Ea}$+g6{)TL5_19bXZ)eDo@XsN-R{}s zuCRIORMv6w(Raq0o9O-3!K^?pt<`QzN*@BOt0g%84x&^b+FiXZ+alAzWU{)%1a058 z>usaEP=9Xd=_(Vw`uqIy>AyUFJNlp)hL3S8*W9b83!i zgq19#YxW!^WOd#=V-gad4tb#{09Qb$zggQN&jiaK=ANRQI+11Q_oX#G$`5t^{9D*n z#r72$wZ^$H(u)(B_9f*>-$Rmi!VMkyara`>Cy+{KF+xOQyqgtqx+h;6Z7FOhXSSGZ zWvVZ&X`23XLqaoViUzK^dl`zdIfHsoTSPtK?gBlC&}S52eCU1pooIxpcpBcEYc zJD@@THRvhd`(7Uv|G3y3+6_TnduL2{<0*|N|w|`z~ELZ_4 z+@{y1I7Obrd-V;s?~aJyPj;WRQKwpQp+h9k)`VlXFmggP%or9X1Wo;VcKNBuEOynU{{(E8^ zZRXbA4*lG~BYc9b>Nh_XhZd7A2EB%LeyNUp6?LNshEupKuUKd(Cac^YHJ zEh4o#!&w~8=t0s|PvMgl$}`2<3+P8=MM-RjV}Y>*aSW23 zt!l`}TnQb-f8@b5!h5*~F@2|r~jtgwfdt}?cQZVp4wj|^U%5j3fhSCxW3s5C4$*8dA%7#_ht z6_c3Y&{~~qrq$$gjqa)9New3v#8A((NKImTeNvP0fv-2a=2|=!t!TGoVlE%ge^%m9 zCDy}ye`5M%)V+L;s24t87F~*Lc+tBmMbQ1@cU1}(xtF}FQUqSK3^V*-(iT3yOF#C=Hb1|yiT)YUcn{NQ^6hbx+?F`CSNVmpQ#L4 z;NiQ>>#K4_Ux=QwFJt8Szuz-Bx)6f>TwS#Ed%T@zoU2KuLWf$eI7Ul?D6 zNR@~}ZT>_B9Ph#jjcvM8q^=RGA74bSl~535xS_#l zmr}DFUnInzyah96E+?4ob z+l(?g@*j&394A`pe7d#;Xh9AXOCdWcq$5SSu1LG(cZ2bV`>KY5$Tsw`S&pD1{{R0w zwNb#r%?UQ3zmfhL_ncDfhHt%E^)-IQfT7RFSIlD}ZkJFctE+Y1f3FJghGDf{c8oRY zakFC?ZdZ|MByCsEwEMQ$;6FM99t-GO!k4{;Q0wXhoAvPjPR=%^gpWKl4Y&Gu5#a991HymkOBB>F21UXDWI>SFh7MqTJ2tzx)5;Cx-Z6Hlj;! z(z07~!%yer6aCXTC_uBEsLknSB{+0$WQ7sYYGuN9>)7Q1CjoY3)y?W(3x+=i|tKxC*yv_03_rex9}p>&m72kt_A*YCbpP+`@JYeI@!#il8U ztw0pRhI5EMVyJ)>`J!L>R@q*gvvy(4OTujLDpMq?L{Jo{Pz4c@xM7t4EjoKQ5#Qw0Z(8L|cp}lI#J~{X+6Av;(N~L#H^y{-m3QKS{b*6b z`ld{|sS8J9u(qh9VeR{3g0@@sDQ3#7ZK#kod_O6gCN;0Bloy+r5b9>^injvuR$Pk- zH1PqmX>WMhNB`{nY+(@#!zRF$&nB-n)qDjtPDfeXwDXm6=vKWJ#NMyG`F?jImjgMKwfM5 z2y7&L>8jR`Qgtq_s#<0|su&w-JBCmFoW9e1Ynl}c6AEVCoD9`uma2=*U?eP5(-g-H zNvR}QTqvbCc`B6PdP_iitDBTtKx&pbp_=N|5rv_v+@2uLGX!AWTFd)`KqwJmOT37o zbc~03+Ey)a)L2L6e`3%@$itR|UcRivdzNwiSfwRKvU<$jl>P{Ns?qs#PoS;=;|_`0 zg4m!9|Ao65Mg>loSxA~ zOjxEcP-&#E4^5%fASd9x*NQ=!+W{dAHQX@TmcBuPweaXxl7u=tlJHC1vFzDDFLo)K9t3?RL_GFKIW$v>-8KCYI#nBc-`S-{90qS3{d;bNSBeVX(DoeGKbn<&w@pC)uTnM9uGDCAMj^#G36i(X4Zj*OONZ z#-g$oDFe3{EUK8BhMwMwOqU%f7>qk?vuBFFZ3VRaP zH%-7oYO23_Wc;u1(;OYrWJxD}o^V>4!(p^ACZRnhY%Rpg(#tB59<}X;iVKS|wnlYErP{qruu8McghTvp2Bp2~eM!CVVJ6)ad&OxP$n8Z>U$Gx_EcQQ3QZRe;y;baWeUob@z<9*#5IZpjH*FpID zg?wJEu|=r2vS8{=k>GSHu8EeX4fa5;Pxjau_j7p?kRV!;Zo;+*4QJv(l90okPd|)c zye1bb2+v}U%XP81_p3mYP*DaX6FLh*2x zG4mu{pwa~}Rwpz&mnEqaWXY*JS)DMX(Wv=^FvP`13B%Ic^~vZLWeq%?!u>}4-?2FD zKSf@uvjxix?u070B1di!$BcV|fvp?u*nL8BKT!qM+MEI7pNX1OY5q*7vB2s;21h#LHoF(V7}%1=YaSR!4#@iQo)-%Rq?j+%BN*|Q4pvf#6nRyu=2P0vYlj7W1us+5lj#H zK>!q$DQ&ieK&pS3paxK}(|ZcFJ#?@iIaUzzwpvNpk*ZPEJYR4?@2NoG@THfJj*gJZ zDFN-ST2*%!>qZ<`nuCGo8ew1TwoP%ct=fBX#xT8MoH$k-@_t+egVD;&@5$tG#wTH7 zc>yUGdEL26?<*zbRYnBEEk>)7zJ71%nnh!pu z_qTl0|E9lDM>~VUGeI9V=8BnwUZs3f$KrVC_=!Ycz*4Ex1E0D{8JxsqBxYoB!OJMv zrw*ZUunDV+#l#DYWxC%95Crl--%GqlIFoZBiE*K#B&20?9*G|-F-wcwtgtUz$*~;O z@O54i(tsy~Csl9)7Zt1Ys+l84rAU-Wx^S=54zEC|x9l4H9u(He&gkD$nvTOf1;X@)OZaDWJzdY{GVvdDRC?TLL^tDeGI^wtO$~xzCStIDHOL z)U4Ue8I@ZMc`zzf zn8&#pqDkTh*yZtTAu22KqeY-6faiqJ;+5y1ZTzI;%{@Y+V_2(bu)+k|aI0_B8~%bi zt9n@Iu+c*390~bFEvSO>8n?p{e2fGZxKT_;H;WP1+w>q_!V=Yblrr!FFHWdY+EAcU zo-wohgl)u6=$T0k)rFSC>(FhrERPdGckt-vi$wEZdhlSM=PPS^kZ5CncP;+3W4HM6 z{fl}8vRz(Oa~q;>!@O#&(iE?9EUC-tu}Km=bGx>pAaba4jvU~FPC&0u>s4BsvfX1z zjV0iq5%%FRtXL;uV0@mna~K7=yo@O^+|OonGk(dol^Aq8I&mZ>>02VC)=>2J4C;gc zQRqo{je0n4Cn3Z>h7Rtm%dpE%qf)#p3dYC!iK>JwE^Ne;w&2L|pp*8V?0rkBbfvh# z(?Sf3y(#Am^3P|@kUz8|8=C20;P!Rsc&+nPh+`l?D&QVB0=?;w^1Ju+?j*n}zNt2h ze_>n=PvyNSrzxM?qz$&z0mr73FeZQSShvSLq1aXF7rq!Z1iKL%GU`k_5vP$sND zF{78fesB|7{{zvCd*=ixl?+{xZgfL0!3;$=^&&j`zIl$CIBJ?rN5^quhQ?(MhiPvg~rr37xO9sb85-{dOkfOqt}2s=!&|T*S<$euXx+;%^jolCMy3 z24zt&X~10a8`QCt{1QDfX77D&C$i45Ik93QZ7AolF<7O1DOFiXWLU!E>Wp<(oq)K4Y*xUFq!;irTiTBHpY-|^=y>RhzV^y4N!%t`G|K|c{=@U4V`29$*x*d{U2&)U5pZa*x#sIXqy%B$fm=$zi^wNu;)ZPbmbB;^Ib*v{g}ZR)7QDR+qq2 z{UYiFoIS>*g)z%7x4ra1K-;N^@=}Z+4zY|H7rK(Gb$QPPksifXVol}XvZwH>z z*sYB7P9c6uruw^S@%u93GuD8oNr{mwQt}?Pm1%6C-O}U{Rl#;j; zeSC;Ykc$_bt7HUYBT_o`ST_keQQZx(`1W-*0cpvM!HLoTqPD#^lW+Kqb7=xgY~@`+T~ z^hBZZ?q1*bPNg7r7%RjZgo$!BY#7U`l^2exD91}XQqm-hTdx#YWg;n=YFN=-Gu%`0 zu_C7f3s9%92=r|)R04UPjn%DwqZmCv2nnRN2}D`hI2H04@-jyq`g_&vu9g9v}Q6dl5 zuHKX!bx}~$EsYP3ydSO#Dp`vEcS{#3T2I53qH$5JrXdQ*yg@q%d-!nT1_)SFL;38@@3lLEqeN zVtUrBtON~zr|Z{ARG=9BjD^HdTDmBeD>gj^lX&RAq!TzV)BRCn`@q~~TZ?~})G*+^ z&`!k&=Tbq(){Y5YCrkxHmAM+=Uf^lv{LZ_o%&RRGQMwc+y=Q?IXp54Hl`U_qhe?Cy zRY~Zs%H#uVN@iq;rE@HOWP?m6EX=!Mk>Iy6Nx9UsT^ll0n0SImRBg8 zhS-TT?zvv$LRr7e8^uL1$UB}hzNZ13_C>QP@;#0ynKyAf@{(~nne%kBI~ta57v{CD z7+OZThc2$1wq{jD3LXw~cx1VXylx*F2|QVM5EpwoieZJd!*P!Im~?t5#Qg*HXw{vs zVbV*i%om}^mBn?sQ7sRLmg|NG)(LH3nW}eQ%EAtOLl`CrUdlTm%EdYEnu^h(&miA! z?jPSd!(e8$;D(zSY(eoNm8lqXgRI*dTAX7QL6hnFP^OH+?r)g{9-tP1j`DS0rsb9) zC$Ht$=x83_Z%p3hEW3j(RG>K zof&m59$bqJw>+4rvwS`*hpA%-g*(tPYV-)s`%41;s3CCss&;|{s|R_U)^;lKzj?pr z0+L&4KJ*F|A1@|4uPwUx#umA3^Yy`$6m&f2j3L9enP&yLPA!EJbcur!YKnyXYBGa7 zQzB+$`kuA2cM4J!!`1|oZY(sN?*t=C$fn6}TMOzU<6o``L$jQUCFBjtZGi5Vrzc;Mw8a6p{f=zEpi;P74mPFhj*2A0OxM!(9?xA z`<~>ZP%A|qBzOBz`^tOkhiTmkBD-WE1SiHsPF!(TFBsl19pF;VN>9J*Bs5z!4 zuKcbs|7A6)Ly(UBS=By1E?O%(b=quaYS5LKeO0p>?N(5rHj8d8+`9mtC2pfOi(1p! z>?CmLE)fiMynBUD{!*SHM{<@eHrBBKq2JnJ3^WIXx{iG2RTESv^ep|9-n@tiofM_>cnotc#lNkul32{kXoYUus0YsAstX9x0(ly@;L|M`0#JitN8HL$aajiBqHq4dZn z>kX$R8qYY<-ZPjWnlwBcqtjGf1=WhJH_uoNUcv}$A$Iu+1}J6~PD7tyA_}KbkX*gsB7UJS zB+`}u!MTYwI4#DV7Bfkz3JM|2yfjJhGt_{kc&I^NN^E5eG~>%3VeWUBX8Y#;vd(0< zqn~(@wL#muF;(1adG_etf6m>Afs#YbFp~*-%JtE{+@?~6D7f%nAbz)SkIi8d)`A@j z8|NZ?L0*K8p4TP9{$cZozi|2%DQ@2$p}l+f`?hc}PYMGbc3m@}y5b zsxfaGYRw{JrilfTuw z)Dh{0!exAznwESq+3DBn_FppYZ zS`!|UBu&*$6lcMf8TF|LVGI{Uclv#Iav?HKRo(f~x>;g_Ko|7U0_Q6l_uZMO-&j%3 z@sVuVTN&J2&{nxp=3$K;$oRL!5UQ~bxY0{QeD;T6Fl2FO9tY>}i zzvKxe0)g|el20pEnmco;wgc}a$2a6w15Lf7Y|Pe6vTBKD|m)iDu zyO9VIl`zWJKT8(xC0`!A+3WaQHso14J4~kQbUHcm7=#n^MS9Y&ei5yf_jD|rg8qQd z+YD&YT<%4x0%LyGY~D+rydTY4G7jgzh*9(eB4%E#VG8cd8+zXV{Hxeb_<*!ulF!8~ zegU<_Qm5Oi$z4s1*0rFmFQ0$i|Kdh~4h>fN-OsI7Rava)lvmuCc@1;gf|$kaw`$T# zWPG4|$+MMbPg$7NcRp7N2*nL!{8vr;Jk55EkG|(QID6?G$=f`gWa5>AW0}vkJ9WiL zDh0-39rM##d@n~DvK`DT_1bb*nvMwtI`1L7BUNDCrzJ*?l}j2$eW18P?nncDmP9Pu zv|QhrhJlEhiSw=`^bFM&&m`uf`yLwOcBx1bPL)kb^uhOO?i>1oGn{(BLOQ@kpx(-- zQ^uymg4Sh=0?PNrByo&cg_)$d7#cwuA*=?DcPtco(RxY)MFWT9>kxEu=wx)ZhEI<;B*<{IHqopAd#Vr&ac1 zV{$ab>l3MoEy8FXN((Fxm5&XQQPwzbH83)h(TjpHaZDDnue`*dwPtOv zWG{*}@vqZ~T%@JjkKI?;qno_J2%L)gK3^#+K8!IXz7t3@rnDtxY+!_We{fAaJ&g3> z_M68kJrO%jnK#??_RXqfN)Dv0Tg8|ILX63z+B8xov1y2%Ge`;ybm8sScN({a$8ZT$B{`L1Ivi4p4f$Rddb-r5hi_TkCM48@plH(Q!kMw-!)=&$}bY@TjmS( zk^CYbG2Z%DFsJ2bY%BCGG7~5OCOQga1T4_Y&>#Z&P7OjuPr-xWorv=r=4ovCtdG!T zCB79Af72lM!c2J8H_9Q7#N$?ipEhT2m|R2}rbiDD56dzXz&!38EGY35+P)ajPCge#7Fu|USTLf^&N8%9Jm!Zb-0sC-5X zRov_X5$da=L;oVSjh#TxFXRCcUG1^GmWoGpBe5P(x@Sefh3y*u?JsHDR(u=OEz_0^ zm-H3O@?FaJzscjH03*Rbsd>u+>p5>tN5NZTX{tvU3!72av0l4f9x=CPB;_E*9^X{* z`dU%iZZJM#RKZ5Cb7ECwGSf*rMF^x_QRnKlV^G<*yXKU5EAeol4-Onn}fnBm>d&HIFRSHb?p$~ms& zs;Hs=cFmslD<30r0To-5=a;0+mE3Xn+(6Ah&OL}OcpoL#r*aK0o5rRu;?S@P zGDCkD-OFd!;+Rhm+?F?FHyMxgnaXJylXqbS(@f$phDz#3{hzyq9hgMem5{cCk%8_= z_U)f>rk})=#N+8McjS{E=%o+CUAIE_D_%}=JxYX%1GbfpwpnwplLGpx(0}Z%6*#DR z(4d|)I^{)5C6+sul~W)Cx7+! z$A9OoPkau){N#&&^wwX06rWqGs(`L(R?yTL?ri?rtXj1uEyujTslnft#k$xv?XOvv zE$ej+)AhjR&6_0iv^4YKk<3TjQJwI@d%^hWpZwWdZ+zyhZ#{YED}VpipZ`TspbAf4 z{q3i(e(mWifA{p&&p&-lh$RO7IMBGq+Gede)`Inq>OLir={ot`;3ZoN)h%c7)VlR%u8}pAJG22I%6*U z7mT<6mR=L*1!B3c{@{b^kx-%YX!6Ws_LaTOB{egQ%%cD zp;I(cG5;cX!FcQSKYRM*i$DE!{QSt%C*OYhbpTZEm z^YKqvt6W%}vFCA!M0QrybYOaiY5wZzlRtj?lQ)_k=ZQ~ZeWcX$e}_{U->srUwQrMD}RX*|G?8%fAi_9Z#;eF zZ#h6ah6@lC67!l9ACj&^v)!d6pyod!#N`9XPygggPoI2AdhxHMLSG`yIsLhbZ^}MI z)l+WY1=mvAq{{-;+NZ0^#6(Ba&Pp&Jo)z(k4q*w)efr9uvHq{V`t+5*-c$}9$Hi*H zuYEBoMySn^Q44?d$Nzg&L`gF5?ryu%u2}o6tj|q%lIj6 zK<8lu{x9g63aiX2VPnZIGv}qU+}zg{cFTn@7+U#b(o|r{|8kdf(6Sf;s_kWQ;RektzaE2wBm#ot45~ z>LkI@>*+Y9ythTZeuyIqX)=oTJ`Y9 zyb?(2B;g`xtP{#NuF4W#_#_Dl)qniLBLaFrkPeUWZ!w>kjeiDZ5~?VUi~(oGI>A{P zLZyA`*jdN_yAxMQiB_jqTuKn}o&p**WJsOb-vtq6b}-ddpQ3wH>hErcb1dM^ZJFmQ zB~qc*&lxkB6UW?T{GV-I&UJoj*lTgP<`b!=lz`>C+tc+%)r!m=jF4{^C{{jFXhzVd z(pt^m519FO&+4J7Awj(*ux*_SU88u@YS1st4)QT7F>d4&u$yQbdj)esZ0Cl|4%nr0 zou%P}_Dtdo(CYz_wCOz2RQp`_n*w@R=S2+#5K|#0R<+zFW2WhTQeX&+N)FNvhywCF zVoh^alGj$=vGhQAn7un;T+|Yhz`)`t(2p`v>=9V|V6iB3s+t{~(Cti&zBeAVq{ zs4?4vj>LQ;cV@LWJ5o(YgFCFDtKsJs1CeIB9)Mog80A zT4q3LC=aU7Nv3GLVBVLeZ+*fnBa%#%N})ZMCMz@pEXjBHJc)VH4m$7$Mn^UnS zgcNWv5N7|V8TX{sKYC7s!r% zX!zYK>h>BnNzIxxu*!J_`ss?U)mZGxBdktgO0CWGW|@*_fidYwNxHli%j%l$+Qq0; z_9ITUnMi26i`0zpHlB9;aUNij9n_izO1#9o0|}5X+ofuc`mV-)&ifqG%Gh}4WQ7+WW0@nX7F}Oru`UZCLm+=L z&J5W95{l9puLzx9xu<6jBTA6Trb!h^N zo>T4Gye=@g7$|lz0vR#Td_=C$-sb~5*5w!nU?Hd;cPF+8VkSF6?>|ACWZ zbESS=)AtQs-tZO!3Nd|DQY?1J#L{Qjd}GLMp;{fJJ6{ypj-;-ADto)#avfu;@^k*xq?l7HoRSc*;F?E!k!v~{WPeFf%@P|5Lx{G}4%1?V zaYw&k>dOjWA9neE^hvuTg|d2xv;sUd9Xnxuo>VFEWC}*-R+50#p!TO&~)qzEhY){#+;d^^D40* znm2}pNdjTL)=Dc!T5A}g)1CZ|j5y1mBP&l1lN%+M0^c-xAb-xWu8Ml+qSGY@OE*!r zqlKDE*k#$iU1}|Odps$rYocSbIF!do8%)Oa49lIHCRYwRe%H#WkKQ_6xjf&ngB1sf zP0CE!m^Q_=>;;Sy$M(@;QI-;t0+}mpE>@G5*C>uq7~|hnmTkUXa{;H=wB<1F2lur2 zEezI%p`l%g4iO=@&<3DPtg7eSiwR_$q81z3jrFh84AO#LcpKRX7;BT6#aft7Mk|tt z#s%NqOSCeT*P=^#57-vg`k-z$Gj?y^-7f3MS$xe-!3KwIt2n0}jEYEQwW8wfwR8yv zd9%(13&6T!2qCnhrR;rt1gTY~LwB}3Y&YAoT`cJLyiR#=np-GDEvFIPCefu7n!;X? zwL8?bB99G8fRU-h=g1}NZ@Ngxz{1^2s*|HZnNkdzRyJgk4p1jc%_~zqC5;Xs`dOlg zMV_n8h2i@-A7zUTwoNX7ZY~>DYhKFZ7#C^BHDF849Ie7eWXYbzAH$e2;m02+EaXN& zsy7M`dr@IkX2m58R^fC}ekVqto}(q6-?b9_%_nIE2^LtP{##)Pxbin&kR@Ut26!Of zyOu3>uOlR8HjQvseQz5#?|<+>o{2k;BMEd@i~;h4IBmR}%F~s8wlN=Ws%!CaePnD1 zptRt-E%vi!iHQmoB(Lg)IA#k5oGr-Zp7Orl&*zrw!#0H8CoWgBmZ8u^c9W0tg_6(F zr~{0ClzahMHrqyk*hr+-k*Ap_-s$wrv87Mws3XDY^}2zCh-iUXu@ecmuhj$pS`x93 z>`22|j50-DU_8cY0QK2YysAj7ut{ji*ebEAAx!iw8-@igtYMlZLLBCGm6UY1uTp?P z!10H3REsxXP8pxn)kveiiALY$@neI~CD2Fc728^h43;68T@Lz#2pF8o5yDbqP&Kv` zzNF9vj_=3=BOOW`cbe$CU1{ic=&_F_SPdoewYX?kJ#!w$rz_R<6k$`oXJ`0=#=kJ3 zr&li*UF$aD_)51d8LGISBJn7%AGyX7wS_5&rMD!J6?(I?>4rgz?Y>(B#pu;l+I9@= zCwYC?5CnfoZ@3QNTzPJ(H4sg61(ET%H4p8wO^2}#yRmi?m0FFp6Y=qz-XQrbU35f% zjF;}xJAqZE&~!M-pb6D?RvkAtoSiVt>39R>y&pAN-kI!wGoQVvz`lZRenY*n7PzOLkkjWYcfLZ`j&A3}`L$<&r^Y4lv%~z@Uo!?p)E|H=C_E}M8LPF*cEEVe!+8M}3vrz9Q5LD|rgLH|Z$Y||Z}ox7OB zJ6j1NS+qpyBn>DpxDzX+izR0CuV6JBP-z-d1vHBjounb|8*z0#r16N+UM=SIam`6i z>IqL8S`pEq({mYh6cI$Ufp$P*9y<5=mT(GS68JGg^CieBK${J}-E0GTC<}aKT@eB}y_9DRwn!d5FoOg7OuG?%&Qa5CUT=#9FJxS4Q6!ZO z*yqwBhv0V>VJC0j*b=)*-ci`>m~R^7kYt&z_<}QgI=YScEaQZKlqDXr2QWwMKVEu9S?x5NxLq0xAo#}+*lH^p^S(3ZhI|TW9+H*aTh9mqO(Vfi_){jv> zcgW{(Z#vU~>Z#@^PptB|bWJ^juX38n8!~yEjmP*nXFIUZ{XRwvpqJmDGt! zEp#4taI;ME_`~& zuviFEG5r*VTCG1ct{C(NgQ%g=hO=f(!b`qTkrTDurAsUJoXAs{km7I2C_j48=7z*S zZ;3o$^;vdMpV2xOTBGE#4f-49e6@tFi$XTs4(fb>1>lW+4`$;9cAV&pvo^~PWLajU z#BtRGU55G;apN3UXITml9yWtwBaz61W=J4xo#^FX(l0P_&u+;BtUi$yHn%(@yMc)_ zf1Bhag%R@|m=;;qDzWP~7_c1xvhL4Bm>4{`lU_TR~NRZ^0 zGcp%eREf&IjQ-p8&FHgfx$e=&=~Xj)cCId=eN-2x`&bvIKaP(+p471aa#X5)^x32n z@$s}Wx;+xeA+^cZ0_5aOK3rCUZ})9~@Aj$v1*{%m~>t*gbt8NQiT z(--*J(dR>s?kjiF0@e4!ha9^8GhM-1&XE7UYuwQ=_aB{9P)`}+3ZAJ+p!^dCL9t5h zoe>nPdV8mWf{>WJN$8IR>B{@3f}H-Vb2Sn{!E{V?rGmR#7o3p=or7P6N0UMo9!^UL z6ofE8_a?I;wnFu>majf$3=2Pwj-==gjgExaN=P&n;`4gy^Y0xYGLE+#Z3K)i$T~fL zxFaLr?d_jeg8xx5u-{WUDAjV0z|F-*Tmk38Ic$+jC>H$>I;#^JgzUTh@*3(RYfP=5 zx-rA%iD%E-63l#GgbMXEgMp~VZ+Rhl`x=8`JcgL7*schg`*jMf%nGC&QJw=1DAYk( zAvhWsnG;01nvN)z46j{O#qDbiRYP5tM}ZE*VCTfr#=%5|7YEWSBaBbP@=7LS3)%{=|k(8|!XkO3rNitzlzg-S0SF;waSl0+r7n)%DXkxBu*UNa5>Ri#X=zQbxR%}yP zO|YcWz9&!^wo>(?q%)1Vrqs2#wQMu#zMw0~W%tFSOyLPZRh?%vGlpf7@D(B%<%z}x zsb{gOS(lnj}Is;F6;^iw>^?J-6MKe6J6zBOcbWm}j=Z(ePv=@9idE>hV|3q~D<~ZDsbZiY+o4fW zUrA3A60IUv9FJWudC)z!bm>b^`W9Js>9VDJK;LYiiPwag>KuK?ZP4Eh={>Jc-vhGU zlYY#=$zJY_aLkw zlDtlmJEmpv&-92G3U>d+hX`1X^#}WoqfTC+vS@OWs;D+Pwik@~S)3!<3QgBWp6rua z1zoM6AP&4N&`HlSl*wf_)ENnASTby3EXReMFmlJ#D?txW&2x|3mI$F_ooCZ-Z|buWxJe{BdeE!0yi>#^xg*#I-Rm5 zHU|#GU3U|+|v;Z zMktsx$sCWb@JRqA0Vm;>ZyMf(6CrWr1dRzGxbB-4b;9~bk=axc6f ze1W8qlG+LUC}tEJlKK1_3PKoovF6KORn-673pcb```8yQY>0CS{}Tj00aF8f==(S( zp|7tP?{pD5sE`+VF;YiS%;y`&j!>`+xa+&&0B%GuAsB!VPcBj0^8G0EeKaQ|%PlNQ zC$h1P7X%o|=~aQ`UJUVQCX&Z~5XMq*pH!``hun_mhGZeH1dYPJaC{$~=|;S>#81)` zMNXWctdP62O?_)cGjW5&cI>`@z2BB$vV)M9hH)SlDt3YqL25!ULpdY#7}9$X?)rX6 zTpgk!1p!9Q@;%#$d67LPjYk=Q`7rdxNy4TvE{6 z!NBz1*9}#J0!BZPe5XXl!HL8%H#_;-6ZFo&;qJ(1Q9@H0o35y7s>9BR!mOm)#V|Y4 zvqy?;z9VxdAH0j+_aAi*K)TbsIE<1bQU3*|gO$m4&mFVjaZNliVJ7Y#cnPOl6J|{L z1$8(NP}QnF?b?9f;U< zTqjWP3m1|90(2*O3~$Iez}IZ$uPEgaD>wWO*Nz-TJbt1Hdi_7KShC+=xPOu zk|{#JB(~&3=aFNr5~C$=#4AuaAhOSS8yi_6Ht83P|LUJ;7aN5JJ%l045vyOL4J`v&^33Q)4bTRX@y-<+puyeVCI!cxF zw;*$&4uS6D6F*P*(G9uU>@c4?byf-%cM3-p+>!sx&=iy#Jrc4gOx6Y8RCXxW;UXkr zKl)NIhEXizI=3ko77zTi6-Ihm?+x@`-}BVHo`g;Jb?^uB73fytMwo=E5>xrEeOd|o zI8i87m$+!%cuY!1KXe3ilo_dHDV(Z%12O;+UB z!E+ak*}TlLKkjb7Rj-Iz+e*8qMJEJ$QAN9kJK9t*?;61g$01S3mZq!|+c{r>^WClq z|J1x{&NV%u4~vR@A*RAmexPZlP_#IScbnzrx0f7)=KpRq1@w4q=g3|@l$ zjvDLIPXu#(&ulD5Lmm;iy(MHIX-K*{H~}4v^&_J<+F#s}NzN*Wx{~OjKkiemv!l;G zXils2LGz^E;i({Y+{-OiQBKs^wBHU~7zjGx2=)B$->=|vao(kig&e1*YdPdS%NL@P z;a}Jq)kWXI8?gF$@y=1JVs4N@trEAu8@;Oy1Dfy-Q&tJJfiC~C$&$Ie)r zGeN@Bw+88ocPRQ+L%dQA;;eDXs7srsSgcc%7E;yDwKzplOw3TiO%zRatuKj4gY(#= z`}};VK|&-4s}HUDk+DhVEFW5sD>pQBqlOBXr=^BFkjp`%%*ldK-E7kDex&OFc``D$ z=mk2#lQ(Ulu`5*joW79Dwp^xb?N^zu8FY!Aw!0gXv<3sxcM?^2&|oK+Dk(z-f>9H9 z`L?9{q^sUb(`^MUYe%x9>*88tJ*brH9M*eVFHPE>yJjWr4ixXlg6 zb+;GjVpTN)ht1N}a#T~>SXJMBO`Pi0JJvR9_=z2bm4)3i{bz z3DFeL8s-?*^h%KfW59%EuCJJH%r-f}A(qrsW!hNV=Gx3*R4*A7p+{A9Vwv7xS5uYE z%S$q>E;O)(O0YwFZg3>xpx1r4gIX<)?!$1?rmlCz4L$kQd-iu1A=}f5SgUZz+ldH=(bP zpnTElYYd!neAO59__sd!vA6%`&(%M_-!c4Zuv~kZ&4WqKxD8<-VgTq*|M1lxfAgMt|`iuzEkQ%{oPmJ`TM`du>2|i841xi zy1`UP3?U?N5!@ou&9%Zw)Jc2i3tz^6){npWRs7dKzJwiA^6W*1rxS$8NFeCy#Wdsf zz*~R&v9~|@+3uhIK_ThTibvTT8~H8?msM<}Nb>^%VbfSY{nO9B^QnLJ@4ofXw_p8@ zx4-f!O!K!s{x9G9=x_bxm2dv|U;p9TfA{3=zyAyp{qaenzd)iNf1^wEwJ#5B*}C4z zqyogf+b`3dDqYGpvmzs53Q7LVL)BVJ`rBXqy|+L6n{WN@C*Jwe-~RX?KHq=(n*Q{! zf0Lh1nb{@WvEA?*u7Lup%KWYO>2LzMT*1y+i^~f!!qx%`oKc0Xwu-GtVbKtRm};;o zPF6nVaeYmCQD~}lUDf7G*dkSw#)qi+P_XebJG2#D)WcTG*g~B zIc7ZJoi==J;VofTC9D5L9{sAz9Rbcv-2(#Oj4cTJ&!)mwDAT8D*)wb5NT5#l_|W$r z+RA23WbUffp*j_)U{Vw%E1Go)b-vwICiZ@kT$%f-F0=c4b?CZrr;`2c@vM4mdZF6I z zi<&+z8kvTT@h|?_g9n&j1#flbhP?ZO_vV^UtVdZJk&3|(S`-2USk&s^9Ic!=2Gwv9 zMjd7abbvW#HJ=U(!KU6F)bYF(H2O7fh308pmBif0X#6fWn!jA1q_O3CN#w-5!i3po zr6%82OnJ?Lg$hCFO#Htl4_`-Zxg|Ob0X*t+AL%pKn-;)01yU%anwgGJ{_G9jxc5@# zBnRN%2XVnSukZ;`8oDP4dn%Jb4kTijao%rUG_Q!?BCTJh2eOq4m*py54ib)v256CD@%!!nkjrj zA@MvZa@=_%#bMlkv6I-`!K?&lCNViFA6vwVV4GAGh2>st9zt@OpPP3_gb^d*i~%Ju zxs}zVV4&G}cxKm(<;7EZuE9qn@w3>OFSmllj1Es{Xe7bql@r50U64R;Gzoimm1HW9 zCy>OPv)y&O#=*N^77eyb=6{Z+_x>y4R4~t1iD#!^QM09MTpJy^L!3yM*Y#N=Qa zljtMQAuXkwl&LV_kNcz*kCSp%4Kh7@Dl>u1gyAzyo1vQ6yBoQKTBI`^Dy6{irY-Ti zPqxj`UHw=l9U5In;D_0{tq@F0L{9UZTm0xod@7hx(|l7D!K*{(HzQyZClh%zBYI`p z=?pw24=c@)kZJ-;(Jg>bV^@`O5z1tJke%~jmItT?^hOmD%hNNjlOIpzW99J$ndjam z4Rx4cqCqwJyyhuTS8^qL1zEd_&f^5|BO%hN7=*gPR47&*fko7+gQCxvA({Z#B$~>k zorsa={oiF?KTD7%`Rrg0R^(Bo zvGxeULY(pZpcFK7R$}Xx>uX_p1z-hYd3X*K@ttraSHcet^JdY~$A-~SC;h7Elrz#cYq8zQ z)QQEyBLasjum^+;h2mZ2#E?Ge+kTABDk~BXGL?<>=L!W|nLjQ>n?qv8ux6+0`MKuU zq1QaSBCrUtR6IU`Vid{$s+LHz#Bthgtt&c7VpbG91zK1O<0&Enqp3hXXfqTTnkcph zMF6$TpLai&033fRF*5#=6b{N)hxqHex)n=<5cRM=*17p%O=pzBU@bD^jH3>Hv0xE1 z^459D^syyWu~Fr7 zS2cj9o3=c~XqoPa`_%NA;+QB+#<2&_U9EKJKf};%;d7$P`4pJ&xZTXL^SE@eN!g36C($)HY!0< zVGQzAx*u6kP&bVBz9I>#iFHAcgRVclL{wNzLz>$kriCL{WL99@G*yXH5$E+Ht#=!_ zHaV#bc6rSq`T90vP>gb%2xf}9ctjcwY%BqD^s#=I%k*l0=Cg#NDuuXH3k>1AI9 zF^q@s0?Mv8kv$Ux-0XnUiYNruiZ`m*bFfQ&Kv-olyIJ?6OXNXF!S(+B%(Qc)NT5jKA#nFu5b<*Hc})NvIHGkSw>UcBbZNHak4 z^^qy&Pb!(PKLxL0EL81M^mhKMY1s zGLb2BSAsIeGCMp$b)yP}<*0K;1IfpfJC;jt0!)jP*=;j+W7-U8=ft`a3b=fCTx1Tr zfOKBfM(-d?37Z_*FyW+>zzQySCm0-+LWT`qnIFr)V}}~d7;hpzf_Th(XR@H=`UC?x zI~ION522*-lF&N$q#!!-%iNu=u<~%cXPpY_HWeiZCwOq-^5S(Oh#s?N78Qv}c&}}~ zWS&eV=+7j-obk(HRJuZ^Q#KZ_V_s=ZmtK81Q|R$lrX@xbiT@9G?-DD^nxzMws%m#b zAZUq^nYg1Bx_!^VRr|*KamS26Mqb4LtV#fEa^~W=F?{n&9w@}^MXYb5^{qM(G|G(Dv zW$2GMvi_ZpWOvC&V|m@E9QEB=ll)pgkhmKjfOdOcJmLtYr_^`PsIbJA9gT~7)mjE2 z^D(C?Oc=1X!nR!zaQjkMIBUvcO~d`%q36<{yAUM^b#AAEsIXZ3q;ixy{*UsuYAFb@ zC>K;2Yo@Cuz5#ld_@bRIROw8x&=X_)_^S7T?tVo7-JTaX_Ju#5?oHQDUo##P#o>*- zzYSZ4Th^v*(B9Bgg_?aOSZn4!UH%?E0u17kGuqMZ%$2w3w!+x##x7Ag0wx2pKKKm3By8`vk!?s?_%vKcAr99B(Tx2WAt;lQS zxm{z5>Uw}xf#HOCh>3?~u_XZrmkxbIR@AlkM?~lEpCJG$E`rXyY z=1>f&vWJXmGL6fYImb#X(Y+;j}^(~i9rFz>d2cj5+s^TbBkOi<4#iK zWOLZn_fjO-LuggdaK(D*QY2bbh@$8OeIPSH*CtCkV`04=@};_3X(heBl28VWFIn^Q<9)lSS1lByX_m8E4!~i1 zPMg&zH`DlSmv3l2z5G`dJ%2a(EYn$M?umTuO)BV`UQ`dtS2LQ`PCSo?dbp#G6Q@b5 z^KG2w!YMM!g*Tg6?6&@UBvNeDSIO^()@8>yd;xXT~ol9`u*KE{RIa&Oe^3AFp zsKcsHZ9g@-u2LZ0SMr%vMO*K6i`zpJ2bzRet}(C%G%M-t(eRj;_+C7q~zrhhMw&1UYuQ zIj<29eENl+1}kN+eoEqV_D_HBCx8B5{Ov#cdq4TJzxCJc_rw_|+t~ASiOQGu2V@01 zMPsh(Wm%lAw>kW+|LC9oo&WUD|K9J}fA+h-Z@*v3GQ+-(y&S#vHTJGI#1n@Q|KZm@ zU7%3oW9O;%YLyd5Jh}QGTEu4x3rvV<=3~KelNP!-@~LmgncAFeo?dgo^M28YW}?!3 zPTJ-+=E9%<-9P&C-~FQxPV{;CAeVf%qIXO1b(nopAd_)qqu3l%`2M<+u8k&N-bk{o z`|<#FjTv{?znTRPDOBG3vmgC++xzqX{%^1!LIPRs%a5PxM$8DkW#966z-b+Q9pLoI z`srCfQR1K*Vwj^TQ{YGz_1>1sdv_)N=-sPWyaJbR0C^Pym9U>R{T*tdxMMH|mWtbf zmE!9i&Y~6VeO{st-+6vSSk-fN%9pi3%XHs`GdWny!&g%=KIqGL|L~gz%b!n5jftc@ z7DB4KXXLHC6qEuRf`3q%KlvZ+?NJ?YDmv5!DZ`Za$1Rs``hfp@%Qp}VIhiS|suO|& zerCcTeu!No!XrO|`8ByXrhG7q+a%45Ep=VJA6r)cW0O8gc(h`Y<9>r+Y7HGFjW@qxPslc z8#;F$OrekYvH#-HCQjGBtVW%|KJLC}SFO&w;nCgJk<^iybU*tuk3?(`-bP(${e>>Es-w_`f*;pQ4%%T^R8ZAPwe8g;rwRb5t(+c z9*aiEDWBfViQcb8#fi3sI<+{rpC>4W^{FZ96Lux1tx;$#zLE#JhZjd^)Ss78z5Kjf z(6gGfr3>VT`DwJsJO$G##M&AL)lu*Os zl9S(wO&ArRMG{uAvIAe)r682~BebTh6T1t&qwugn<^|yxo+<9j8dw-GnTyKwM`(J| z_x)@P#}ssOchQH!P*I`?_n47c#fTXXDu|7EIhtbC3IZV%Xv1?Brb+5epqG-qygLX? ziZSX$UKl4+kfpwwcYwYW$|`hXH$?YOK$YBK1Zr5Zhe4 ze^}O+MSYbzMy8H#8b%YSr0}f~z-Sxvr7%e{Zwig%y)g!+F9}vocpYyNsr_nSR*GNd z6R;}wT3I9Yow05lp z9~U)!28WNJk226HzdGB~3FjjHUMkl9<5hwQX(81oh99)MQ++h=v#`PNU9(~=a(!%Y zIFMmYBaOl?7H0evOc}nC{FDFuKXE?FPyOxA|14NT_2IXj&9UlVfr2hf<&`YQnRS29 z3a~cRdUXU^`{}TR`tX#S5A64w79TxMn=`!CnCPd}X;w$x@vRs3d!+v`Z5IDWuZmY2 zX-Sc$LwU#4V1De&(QBm_b`e3JZ0T+Oqn1xf>W1$9V`F~(AiaAV3N`KEW?xQvlmBnq zYSzA+T3L@DPxG>!oZQCr-qj^Cb>)+Ao;Mr(*3U_^=jF1UiduYcR*qXZ^x^H4;TU4V^=;_-D&aKjiWsWg zEW`fyaUW?Du-j1TX1NaU*`rLir+pRKyve*^V;I*Cg+L|iX2ESMrn7KcFRBv8)#K%K ze`UpY3jcU_!hNzEt)^bo(pST2<8@JsZ%nRx1%15PQ9fGSGIaBsB%<2|S21(H7fFzHuTa6@Xh}cagZoe~5@<$GBsg`un-ssmULO^?ED$xB@Qb zX%defKTW-5!1|WYOG57vI`mKv{D+jVgAV~+00j;|*L=tWe<V44t;8zdyl2ut$(6#rPQFlW;#dg}y^aC3w#1>KnhR!P5wzJVm26Tb&O zU}X;>Cc$f$xffojj0PhYWQ7@7z z*vK`n3?T-VEY*Sbe_-KtaY$TF@zA3FqNjV5%NEEr>B$+wfZ;VN<#$q9 zFD3p49DfNIlCm%!p`Rt85eoXL=uXNC$77gMCd7(XnXs4fdKm>A*)z7KW2wL%mBmIR z>P39wN_2!W;@+KW*Kx}GUfM~-y+oiAo^nOfABp^T+65UqF7>+B^n-*?L`bMeX5Geu zJU8k(JMCqLS!`-I?zfcln9Nx!mGx4?MD`4p4ByC6KgGd2rWNxbNK29hw8wJAdVY{3573x#)PQ4G1ri%q|${e-{? zGm#@Jk#c-=3`1T-wA^Sa#XV+W`Xa*K0eijY!U$dB?1u4FB2bCUz@!j!#2)tsS4Ze3 zgw_LO2&qZWjrxdD8`YiLj43J9$UTI3{05nYeP>}$B#X7>n2lyq!-XWM>nj_ zAI7m z1Gh^pxj0Yu;pKmL`QtGykV^#6$eW6JotVO07mV7Wz0@+sq31;MTxbxHucH6YubI~x z6FBbh=FDK$izX%59lR!475(3I+%66WyOZf}1x2{~%Sp2=isTaVd{B4=O+MUzIX&@0 zz2*((SzwC8G{Oi+R)A*GZB-#@JLw719;-oke_`Ja(!>uk-wJ2tb%>k7c2t)w&blm! zv&f2O2}k#$L@g+BObAVO?8ct&S+S$&yj^kwJtvV8%k8->PTbCd*o6i}ZsvU1karCS zGnu=KYcDu_GbzSP$SGr`)6VU2_W9g&6}KgVUgMC?_zs>Qt|XLeq2Y?Jk$Jl4KN^N3 ziL=;`Eyd^@JwD$AKNkYsipZAEDvf7)w&3?H1 zkFX}IoVW>2;w4EUw9GrjxtR>Hxv(5hlsNH2dY{gRtcTb{2W^-xj^aezi03nu;K3uz zzBmn}Hxg%YDH*rGoQ9boY2EA@c}{gQnn1BD$!^!NhNw#9=l4pNL35y zDCnsYg<<>=`vlXq6NN#j?y=;Py-H+aU*_=9xRp^Fq%lLzcrq??IeGg2>pq#4f`tcj zh3r&(&0WAKySs?O1YO|~RdkVae^qjz@$aL0gh`D55d~C%N8VhXVH7hUdi4!#d*X}2 zAYd}??sI`$GJltcr@Ddx&lh&mK-ud?pkj)rvL->V@v-5{hQLe{Or-l*eO_8yI-Ikc z4hH?#FgS{;ln9-x5%84aTo`%ruUt&Gb||}U#0N$qe+!yK=e>2s_ED}Z+^Nk9!60R%i+NEj`nH`;k- zyjz8hs-Ko$Vgwe2Q>-pTR9Y&H@~wa$5=ocgmmeHb_qGI9JQBHNQ_yK!f?`kTavn1T zP+b=)=MrwWlS?4SA#Vg9;ZR@5SXDULklu@_!J6bLi;?(6hE^4nI@XSI)p*PqG2J6tJG_Ot(Wy0%XyP;=+cBaPjKH?C0yamlF)4XLgatbxQn6 z@1snw4*D#6?jW8)#UkAooq%L7*4L|}@TE+@^9L!uhqlME>BubUy z)fWq9elM7aA8o$nLsvmx`%8Xp(JY%xX*v33^7W{hvAVEcY;^l|)x}q`Pt;}2_?sz^ zT-RWn{1=J%8)bx@t0*fR!nt7UmtXGfoW8??-$75doJ~Fyuw1c?aL!KB`*xyv{Ri)i zGN%k54&yu=cex=}Z9uYKZmZ)w;Xf~bsypv{Q$8|KL~ce_g=7^2fI z47{OofnxOzUAV>0akYz&a`Vapmx8%w(1G~}G!ZU4=uYW08`#Z?5s3-9rE^WOx@~3@ z49ygibyWCT<~#Appj+OyH3}w@p0*Xr1wk^o8xWRq-c)ZQgX!Ftwk7l!U1y{yG8v+c zWD8-pMia5XwXpj#@(=3anJ+|aPfV+~QXTTn@srvCqxYIv=G?DhB(e%TXerK9TnLig1cUR7p z<+*9KobedW=4v!rClWuC4P~}R(a?@02cY(M+gpK~Or$aMmL>21#r<_(5XWJym=Dvz z@u#KsvyVZ2*z4{!bdb>2TKoJFr*lPsnJ-V=@yUXIr&rT-BIyMdU9)i9(G86#=$n;p zrmrsOD2pap_z89(IceK{y({i^Og5Lm*@g`jht%@k+K5IysWA1Z<+?ZvBq5d~ti4$u zMnc50pf8IzmGwi@n8}s=$IHYiC&YbdnAq+aS+aea5QUpmP|76{h_(V=6XEcDRWrW8k!VY zT#{clTq$;elhxRdH!Y1*Z!S3ib6vQXb06X4+46XPB>5D(HknA_1W>RSImheey&A?7 z37l7>Q@@lzTBEv8dm|oZnqC$MmN1)P^${rS6U#pyHY}0$lF=@?sTcDTU@kr!n4P$2 zcs!UH^eCY;^9rZIL?-a8KO0oDy`h&8I7X*qlYvfV0u$?PWdIWt{kRa;R}<+b#P*oR zzVnFBONN53tD+&ln(nj#6AF zvNjjN`ms@g`oc{IU#0ja)%-Vg!|d%#wL1=9p?KcF(5j9<{fS+j>D|B& zSr9g=|G2v*mD?NM-3-Kb$_z{x@bYw}rzX}LabTc7`#}&mK@bNIsS{@pgq$Kb3W?A* z1gp;-KM8!nvB=Vg5aabgk_TpSDtTp@#X*Qp@KZN_Ku%%s5KslrpU)8WLaI1ER{lfe zB-uln(I=e&ZsH}IlXfeMNDS_J53!SY4`FKY9m9SqFu*|;5**L>Gs=7TI*Y6X%KS?F zd1;(_5&6j7)MbL`0kcKCPU#`MQef`LkJ5}j4GF66#}7WQCAAI;(t_U0WUolm2)z)c zY#|*J&SYUQ6-6J&mY2HG1DQTjA}@FZ-M8DKT+~jQ2(?|3vX{b)kJCgSfZ7M0l?_ci z>QQm*KJYP~ctE@ZT*=J^Uuq(5$uT6^(&!-)Kg6PX`9TiFqkQ?}+=&C%7iK|x>x5`* z!rMk@eT-nc!hFGT#8W8nvIjb#3IakbLscu-DaOkWk}yb6Q)I@Pq&`M0l3T{SZq7@L zXcEX0PQ!=HK~0j7_k^4?==g@%y(n&3H!nYEF)Q3KN*QPoqDVjR=vv?@Ri*Uq%MTX> zt&g*eXhweMqW8jx5e2--gWZbu(O5r}D*_I`d=H0S@r>o;W>my{%qkjn0)yaV=9&a{ zlkZ=C&@g3$4q=bV;Ca4acldrkL2a0HC}eX+T6A%O!SlidnMUpdamp|R`D4C#`QZWm zn?)$h^*wf<{}B7U-@{aCiQK_-mK$$SFbhQ6#GtgyrriWhkm!L;gm39=YkEcbIR4>t-TX83=8 ztL3B5HRSgQgtggPiCvfS(ap0&)}ylg&rw}#$10a zLr4gP?nW@QmD!J8x6`b8D#lDi;%H2&NDQsOexLHgx<+@>S4G(dlK>|8IHQ5KFchXi zOrsA@$Joe}VbMrf?a6BgCf@ynhx+;5U59zOKA@x>S zr~=8*-n4&7C8xHeZz62 z+?ixjb{5|X2d;%YyO9?1x!EMq%RV=IgQw7B_XCcaJ%gZ#gL%>wl9FSoXavbT zFPn;VBFcHC9$C!5AG#rtTh~IL9%H;+z9Rx}^mfS0O|BMkEtn2~xNJf6fBV+hC^>X5s-mkaXR1ZctMdxE=45}V z&n+Q7zJfJUY;5rWg&tf#;jnlr3$qPy&OI<36v{5I&S7z27pJ-K6^yI{A^jd-e!}}_ zd-3vz=RE^UH*zpuIoEl@@$G+AU`MBkwJRvOIbVrOs_4%`4UJPdk|<6n#82f@sX72m zaw147u!sKLQDn-9pf@ud+9F39@{=H1Ja5lCzT{NJM*(}WH~CXjR`Zr+u_#zjqEX>h zE>KxWjPhQ7vMSA=PD{`r1I`0&GK7K#z54OYXf15y>zel+*ji{ke#LE~xlTTu)i;BB zK^-Q7^4+0;?(*|`&3NR#sof`YVJb?{F*Ap_-!052jO$jQGQJ04g+wJrOWl?QY^Y~v z`CK4@5ESj8>Oke7o?1)MN~@pXyU{UgUFOsOuT_J^>=*b03eN zOTDX$C3|~Yl!s@`hI1uE_7|8%+tFNra4HibqOOlmE1DhzEqnP9;fbZ=F+T{&V=w6A zyzBVLuyWC7STQsL2%tvq*y6D6TfBMs5vKD{RDybXo)m>6Ex+>ZyE(%YMjOjLZ$Z?2 z)|m&jk1D+XAPxxx&mo$DcrnP3!YU`6&oEv&Hx+K z6%^8lpoc6?2y9Yh%4P8C_R2MJeZtas`9tVdo5`e0J*xH8!>!-!Je)Zn&aL=bb35WJ z85D*?jk#jwN3wT4l`ZvPoH0;O*dBt5?x1lz=Bt`SVthE=o698LN>^x`JZWB!e5EUv zd=JM7)@Ns*ciS8dvZ`{AZF49r3IKD<%g%f8Qyj=eBN$TeY6p(~H* z!Rtp;#xu5@4c2#kw)y|f*?BC_SZ(}tD2m?NuM{)nNN~UUN(UjB`mJ^4)9Imaj1(cI z{fs4a`PdpxURu}kWBJRn*(2!F{cj8tG(Yoi}#lhA{kHr zqB+_ZgFdicE*Y^~TRY!PSKsA68ez<6?DNiyZuyuYd{104Et2_ex#tE#=eM&2()6kP z$nBH4DOQQ(hQqlsI@c>{J$JEjG8a}AmIzf&R`|8FF*iU@(l*4Vn^ZIG(`7Dp4rtw| zXZN*v7-+{5uwHu!f4!%#`$J&ZX2_ znjYx<`c!&9x$AA8xI=o3q{G(sTCQ$+)e)$2Zfo3t$0@yNl+@mAyR=x9n*w{icBz;>>~>5M2st z_G?8)R1sXXMjyZ#i87r5lho;I!L~-77S6T2*<8UpR z=-lR-$m5Sp5)md0_4>#F9wcc?ZEWb{htCVRhd8wUwVx-<-eB4%J$E>v;plM3Flg6= zh6l0S>5inbPHIoju@*yuF55|P(aF39(G@xHrXltQi5_yjGc6&ePeY8i>%?xH@xH!~ zC?ATV$+D_xJ01GqdOw9k5(T5^dJ{ICsHJEk9G0~mW*TtqX<$L>M!`6`-oU~`%(&9h z=|^JZ4c{;QIU{crTW_MlO>=7UjWDn(FSSL6#@dOz465Z2S|1Gco5!qQ6l)-MBHs-n z=(Dr%cvkLSIDS{d2&>JVgw=a}9SQtap9!MShq_lf#_Yq8y*`et_uuTri|s3YZInhy zFpaHG-|Q8+{@|<%GdGs&>uH?)-KiJ}tfGUW;&>8UKa6!}99N}^XqO~T5`>9s{nl^H zBAi-hD^6{?JnS`*K*pg?of9G~1|Corvg<<lc*EI zw4O=jgf7i1rz3YxBEF0JhZQS7OWPFrO0aJ`3g6Hr;SADx_5i2t%2=C|PfauA?wgv# zgi&Hm!l}rm+~hYMLtv&DCcboxKNS$9$zxqtqs&uGUP+ry(=KZ1_KO(0oUt8CtDpFM z0f9(pkMJNESzR}$b}wXETQf*W%TD)*FiY8O2U|0Lk!RqW`8&X6Gv)1W(9QWE_CoD*oXu0A z+YM^8wo)^D<|UckubVf17)H9J0$aI!6tu5juHDiILvbC`=`u=rvsewNBO4p_-7*%K zFTRmLrUHrG;c^p=Vp!T;kNd9g_jMU1y;-9}e?+0%4dzH-x|T-EG)}smX_UHKqaCw$ zpuQJK7ukx(z$|CWt?$1CU2PU`Q?yStUyj4(pZQu(``5>>E{bR; zFD`=RXf90U_s*L`|AN(Aw!}#?_bm2pz;HO?GZI$G}G*n^of@JksC>WtqyMuTM)_=C~Ow zar}3BQ(k=2&`6evl$eZkzwzS``&wQa(tFJeylFG%eV@z)Vq&*7<#YcahTe{2Wo&13 z*H8(+gYaUj&HI2>VbPGlNyr({>|omL3?-7puBtECc31)Gf|yUXtWIG)fgTx>xk$>) z#!BxH5XM5~K`XvHyyiAPbjX6EZPTyo~2GM0wdOFd)Nh?@4Nmn=7W zL#x;^#99erEj62>V)-467FUy+JviL&6w5bdLkYy!DLw;F3r_D$?bOxdR7fmFP+XHY zD2}tb=(*nAfsSUIhd*nvd%Jt2VWP*1%Ny{ai%N(1zP5`pk=Aq8Uv4Ao|QE z1VaYNZ4KNvo4_DJh4%m3P#=kBB)2O>G&l;p5%JFd@!wtY^zOd%`|o`79sbUri`xA4 zg?%|0+0pO5MWogoJO1{%Dg>U#F{rM#MjQs=LrkuRi10qJ!@~#nj*PI&pHHMKN8^zA zJ9Z*oc=(a_B6~ug`ab>h7RBMY&jPx&I9H|*p-V@fW;g7d`M-D)659e%$T8TDMhsDk`Y!+LM|*P2_HxY{2+Kp_k>P$ zb(TU%=Ex^hSZ@)NM<%(}0eS_U07%)af29wBLv@v2qwYgO=%&D8Sb>o3rF4amJ8^6W zu=hN9WZ=)hNs&AK9JvWHoE6H{xmvU3Vf^6V8^S;wD=3z|Dkj%{g!jdcRpG2LHI0%7 zVrEd5T^+wFzwb-M&s`zpB^X-zJz%s_IwN=yns{IOw(I%1=U_Jr-Y&3{i8$v%`tjn3 zXHbc>f{&d}?7dY#{K)8{=klf9y^-VW-qO9JAaqsY#O{N@OJVM%LuU{qI2TdY4-+zd ztw6!>O6gTCC{%Cd&;cxWW5O@eQ0G?QB%BAn|LGj2-6|7WJ4>2-T~@VeA0}^je-Y3d zL?!@DK(fC<6uvIQWkDHvjY~MOV^%icoVhb8P5Ygi;iDw8=IRIL9k$E-T#=rw~sjZa<=g-_u5Jsw=_ryp$a?-5zx33b#DbB4T{Bczjy_@;84;e%m+x!wesR-2zKx z@OX~sQ%tXIwayLHia1KgLILI3kLQYfj6rDKb@!fof@5aWhV`PzI85WvkEZ$b9@DOP zZYN`R>rfq_U7yz+=RF&5%Fl^`b>YU0^G;a&M5KWwTt+PIEHuEU=gPV+cmvS#4 zjl%mB8TG!|tS$QwHS66kv_|etMkD|4P}-P9H-7G&GxtRr7D8TVG-O;dT@o@a=~-DN1TgxEVz_6F9~M_%fPb!f8loQ7V0*oLrJ&^=N)T`6EtDqNz-lH*c^j9xiWY>^YCcdaWlX{eSgFvhyGvQ$45` zO1ByH*FUHOABuQ|`hL0G=FHT0lw+Pw9qJ$m%=Tf-jYT zdrfP7xUv8Oi_qe2g!!>5)~3TvwYPaAZ+rG-n+q8LDf@)R$GA(_@9q2%gUh@^=dsRr zCCNt{A;286YcIvBI1Fwpd>pgYp=8lq4=;c4Cx6)5<=TF)37K2uJmyL`{YtAlcZvod zU8GAnZpWq|3WYGz&c{i*G!|+cM%j+~(=@ktKv_U#YYB}+HdRJqJQWH@^S(Z!xy&cw z*}kK?je)%FIRaLd$6})l9XPZV%FA%B=h$YDS!?owVX@-%Cb58Co%Mt^s?Xv=mmegk zz^HuViBl}|C3DOiK2y=pJ#Xf%q^BscZ1nEDB$;O)Ss_Sg-OBBhN&CI}yI?=v61y5R z$H&=u!~ob0YLfSped>0;%qwB^CA$n7uw4px&`GePwmD|`BsnwndVC)00VdaJHw^w< zJmPoM>C*F0bdio4J2O zRj`|2-JDL)ne8|sNW=SDvq*$N>f9_~bS-b!iB;!|A} zyGgfC=UzXK3hO5?@R)xU<3?Yfe;KwgfA^aOH3PTp0a|P~U|KK83OKLnOih~$= z_-PhBJLx_?|W4 zd_UEULJo>PJJbS zv9Uj@qmS9=8PH8%lQUf<_ls-)MDtbmM5B;Em;^AsozVeNuk8sCqwoMWbh*SHvua0$ z6FLJLJQilzn&+Ky4Fc%cr>%hR2$rS3;NPtWCNAl$9Q9;B;h38=#bv+=pZ@Bz07VW} z;9WV4^;!MM`8HjhmlD)MHDn~~V--Yqiod|{|5z?- zm>k%{ur(4`ol$s0qa)!XXkKY^=s6pCZX-a)xWS3i7!lM_n6!q1BtoBGS^I4TS!_%2`_dW=7N+K_90Vm!`Ox1XT60sw^>8VANx4Ya5 zU1vvo_{2x(cG6-_NUUB$#gHJY+iNE?WZ=gXv7uOBsvHZuHcY?UmGN(U^W8hzH2ns^ z*JeJ}niy?ZZ!+gbf5`MWH=>E7lhH-GmGE;-Ay3xr8HWW{Ej0D}-zyI3sVo``i~Ndq z?VvEMo%FPIeB~J@5)+z`SSxHj4SI!ow-aiDNXbgDdq&mKiYoq)@33g)SSrrlf+8xPA+MSb)Qe;?DM1jL( zDx31$PHP4&O)BOlS}~%0SnR<3AYHh0yclOQ(vytjsoO!vty8k^=sdH_l~zPPC_DE-Yeh-DQ&+N-gx}9R2w%C zQRTtzthRsVA6pl`)?*1c{V&U=g#Jj!k?!K*-bWWG5hp6+7vIPG=^lYb=-ACZu24 zk`|@^S0Gi(jeRVasA@6)o5)6u5YZdch#L9)lZC`i2pl7C<+%6f_dnb;!l29;=XUak zRs6P1FIA`e7n?=#+vcZUNcthaJT>QHK<>h>1Opgr#$KbcXDA~%Y><;^%{PDXPU2V= ztJYpI4uWuc4Ee;6keIgMg;7+W2|H#|uys}K~KmCtY z)$5bi@N-iC0}>fSHBurV_MhCZaJ$7a*2{Rgu;nSSD^!8@5}%+s&T;_-o_sYY2G^JL z-oYP)K36n3UmbV?i8>Z?LzQcr5ou5-iB2L8c;1w!XF=JL2$NABuKOU-AHwDA;B2_^ z?w=ELSCX_B*2R`KxdMMH%G;<0ApwI#8i)0EYj4WMLd}I|nCm?Krt@KbW2s)s$6Y@NlQy`sdbq(uN`FJm z1RHUF%8yuZ=V?V&VusG8vsf^(d~t1X9@qA+s*g~4q`IF|JYk4D>)-oUM;2ZaaZhak zou<7>P>@yFgnJ9W*`;nO@+()=&oP6yw9dC=r@*q?mPefiE1WMSmZOeH!sB-$;&@+s z@z-Hw$yxsCJbQcg+uin__?Trkc?MrciPGE)SYC&yjCEL5=Hi5(VKb?ZR4xxEtX#S8 z`Zo5l19{0=SH36NFbJcsLkxEM3+BiJRvv_qW#E5Jk}XfO)P_%+TDSR*!K{y%4+kft zV$-(}!ok;AI&xBXF9!+>xF|{q&iuBm!QDwX6O6ugVol~F#@>dm&J06 zJ+PITJ{vw_O8vrlhSLEILxQl;Yi~9NXx>WZ=&Z|R{*PMfr(Z{*^+w)%J=shPNq%{I3xNj#+blM(IyiB~0DdGrQEbP$}H4#%D@?x(b9W ze=Q>})O&@0Qs(Vq|BqjL_s-BT2(oG;Cap3w5cIBuW=DTuJL;&9EKvJoh*JLM;O5iF0P z*uxpvHWHQ>N1GG_&tO90vo*eL{-`&fqOS)Q}uJN+t!WWHLYO@4Ab9J`J8aC z-OLj-_DKbW27=cE=+3Hi__T4A9=ho;$wlB)cuWvTi;$9&Sy(T467zQM5tD&hqnE`> z3LrquoW;dvlNV#D{mYL|WSCkuFFz@6JIb5RfB+UMbb&n`fXBHI*p*z)`+8N}_D~d^H@FFc}2dnJoWDy^Ly#bdL}VXi6hT;UC4sm zRbG%IdC=6w>>f^@0b|UZ@1DygANZ=8HnH*0P`{U&RDqU67m2@|Tw6=~1Y%Ig;KFH) zigB6I@S?GO#7tzP zc>|t->#2{wWD^+gJVFa8+|J>=*$9TEXW$%X zAHI2CDS9L<>^*%l3abF4-NJmG!wHV2snMz1y2oS7)chQR! zcLi+1llo2opW4Sk}4ljAMp zqAFXGz-(X}7OSzZh(V%zD&;68syvU)y3s+kM=uPg^UC-fV=6PkeSJPCb1Tm14;IYY z-GWep-?rzkK;jo_{vimr8bwf?*U+1xBvCB8{wRPEb)vX|f^4-JxzS z^pU_x6X=g2zhWiNkI<1>U>2nWBM(!5o?Y7(ANl@jV%V8Ys6U3h$bnrS2npF}8ZRcC zaTX^QSEYo%wx4V>AB!`3cr?Vv=lCm6Na8Gp|9@=+v?Z}X&=i%^#(Dc6f1WF%t03d0KK zvrzi%(A`| z3u=~O8Xn^)wT8V%e;&G4@EtcsI_n?&@*&AnaijK< zJBZ}LgBRNGGk=OmE?(`aakCA{6*4$w#}7Ce-bd*z_I4t!-w{!~OR|;GTZca6={&a% z-aJvKb3&!}&i1J|#?#w<;)m`fvrGmr^iaI>gRv8OARyzJU^d{O-Dw{4R!u$iQS~hT z;Ph_yz0?1ZJSk0`uhjWGo8|JCyF254@4n@X(@WhgOsYbAn0z1h@+@ebe7@GT`dC9x zIjqDAsp%q(y?ZZD4}7)z$ha?IWTtUbOQr+r%+TcpbC5TG-Z?IKHDD>x3MPnJL5KfBE$eXCYw%ENLy2w$hQ(t4QqzCm8bm5bMCPg9N<07hhoxKdY=pHoN5i$0Ws}_ zA9qQHPI9v~q_ZyedrnS)q(y5CP~)Z)w>-Lh=7&;v;8wi8Twxz0jo41mRrFG~U7mT! zG{?epEDX2PY2GidR^ZKc>-Fqtx|n{rqh^c$berq~&wfkXEjk4%c&^MPKM4)$Sw zM7!-+%Z&{E8Te$xzy-NEhjN7v5*S(y_FocN;{(r$VLX}F5m!DUf{E};kb#2Ki;lSM zcbyWX%2|1q76lx zj5tds)#RbGz&t~Jdm2bmGe0j1^WfNj8k_47S7d$S7z-eBUYUaEi$Mky_0;Y^$wu(M zuGWYyTlyN(f8aUiT|*6X_{ew47Nc49gp_J4=uax+@?Yv%zw>jULMpyv9F5&sn_|`O z6nW88iw3Hnn@)fs4ZtG=@1hL~Up)Fdb#ahtOxy_LF`fpjLoMBqpXXu=b%B=%&|@}& zhU{xO3R%FUE-Hgi7^*pg($Zv%51Djw#@1ifmqmT;K@Cw->V^|+NQ3kkM|XfLl>sYs zVjmjZ2p!VEJjT%-kjx4Ok|`;O+-QuKlYF8tB(^7nUX!}X6!YedDu!yBrGBW~=yR0E zyL}NF0L9pkyeTwf`gX?)@;-_S{e)CL{s7k)y*;nA$QXKc5=RqkNP|-vN0V5OhHS=_ zmWSyGOCX)1LuPMG$BT{uP0lQU;2-_QuMGbRy*L2TnVu#cdPDS_a}VM@42Il( zFGMXPFI0vie&CBFPdjmqBzDX#X+sCw0!zwRyTZNHmmhR@Y6C)$f$D)yFUlDQMNp`w zHTt$atByCTPId=6CQ7vqLis*SgN^`%@Huk1WvVdAkH9svBHdXMsJLtFs2^cPp7#WL zN<%G=uf{`p@f3PXZoSj+UXiz*p519BH|+uL%OxI$;cLaL?@LX)do{LF@66tUN5kkwFz&QWVX7Lflb+(F2O0CIIQw^|SdiWn9o$Ya1_^bjSH4T<_sEnxUZ2CX zy4Z5>nEH38b>Mz-UIn*3K5u@^2$9%SW4z$wTV$kEZho~gTr6bF(--ggit|6Y;*t;J z8%f(svBNousYf)bN76-OF;rBEK)vYI4w;tf&&QuwRpv>-6iofr*Md`0gN=5)G1{7! zbXU-KhyP}Y3#8t(XzxDmnjc3v#!dO--OU}ySvc+WCNaCW!Q8Z)Wj%_+E?-%tvx!tC zwpI@YhV5OS(#T{s6zh+0&l0)%OFm=7xwt2l%06T2xtUhMcS)8uR3RNU_9Pymag7VO znd|XQC-|RHg*c703Z4~=wzQuNo96!p4#ef0!qlegN z+J2fq(a#bRCXhPMvj+4CFNsrVBfb;I#G&x5-}+1D0z&*>34U^=LU!n^t`N<4hiwZw zRY{~15>q;#$^zBk@0yE^TB2G^w8WQ1>BO+=xbsY_HqHyu*!%9}HB^OQdWms z{DdinT% z^#{?qTQT-e|K_H|>?Ds=>V8sg*RSVEr70ZvpAs&I>W-#Tf(}nZ|BV)pX7?xyY)frj zI9Ueq$h}|ocwOZEU~?nVvCgdDe`mHx`tF~c@1FVc$$P0aqYt-El^o^o^qYo<#WhzgOYXL*XlFBji#)8sDM# zo!nhs2)z&?{j;A&W0H-m6Pq$TR7#Zrfh5b^@eNA!YNM*|<|<;C?&S8QuiU+xiK^!s ziQHgzgW~n|Q>U^;ezlMJa;ID)zDC4Fun}i>DDmrqWrV^o^`go3Nzlnm8A=S|3nQhX z*bAl?C+-{5C^U`2PBptY>1+4OwGdYutRL%t?UpSxDf6g3TETp(C{~XAwCAf?U>(Wv zv(i7SVr9vLGZZHhyOGC-@u?Eyh2?C?3o37#y(oPU-Uq5{414A}kD(Itju{I2L&9aw zuNljg$%^Jnp?pgmBMB*!Zy8X+W|DCtCL!{J&s`vpMISk?^?(1e-uk9bS$xqG-PSyj z$x~L4Db!RHxqQD(I`AZDJtH8d0c`5d>mJnX$e&{|MF}>_Np{1-qbKih>G*AKl+Ezq z=tlzRG|ps#1Le!}TpEr+xq^p8sf(wNjeg*#@hq$Ey>Ud%+&}a6%)`^?#+Z-RlU(Lc zr>WE_cBimh2E|I~zqEhCo2F&|!n=3MPrW?Bpk8ufW2Yy+#?{1@iYFlEuG#&UFe*z9 zbZcqgD_!UI_ClUxu(0;^k_Y3`5weVthg@MLMR8Z@K8p!N_18Ow#| zjlNTeO9$rsG_y%s`+f7lCQ#%T%J7J3A>jH_5K$z*FolFTY-tkT);4vg1q|sV6D&n! zu3^CTqN*=aWatlBM~=ixUrHMCi{_dOobtGYSrcxO-|d!IjvuPI`~9>_k`#ZRN+Q>s zYP&fL+oFB8Te4&FRd+~DCk7U%Jw}@pm5<_w_zQZ$3JGYgofQTTVb`M6VNAU7EuRg? zthYu9C2wp$%$ryoXSqpY-a$0vovDaYAWZuy^6%trxDw1zq&m*~oV;f;5Z;5|WsOto z(SBr%<*q8GS!36oX5FW|+xMP80}$*5hxlnbo8IX(uW`!zx%rMvPPN0QO%7-E>eJoN zDbP;Yif6}#ue+0)8Bfb0%TiAHem2N00?yPkRQfaht93r;`k7>`b7HiBu*2?10=z01 z;)3Fen+09Fg5*v%r1`|2Ae80@Ys zNo4A3|MsZPQ{S&XJunaC9pPihZGNA*NcD0@FeRWfEQm`frIeuBy6NuNhx`yZ?-G9H-O`+2tm{T?a=;RX&+v z^0HwY@O^=pqQA#4xVf=(=;+W+WdDgCf-lrt;v(={d)=3U@FD5T4xD_U-VVF`Sy(q8 zXDca=yOnf+0jaJ7_K-qLHV8_Kb4x?-aJs*jK!r0*1?vV`esVAAQ|i>t9-=R7h7&B# z%}%Gai;ud@6_4ymFp4%!xnAEapU>D4Rz%6jn|+~u7_YNi{b!VdavUsM9oaelOErR`y?2Y1}k+4{gKtQCoB-JbZJERz@%$@c=%j)^lSqlY`G8$c z7-miwFHWoq$ygsRG+B9)l}oZNNfY@N>^W?@L@K9vmx?z7u+##XRH=oniaBr&3@IY) zB@w!XWm)-|h=2K#$ztA(Ybs1ok3iM1xl#sZ9qI*I7t3@FyF{rI;w)rmMuD|};)Fx` zBa!@H{#&_rh>5Ebb$vm6dek&P&!s4KxrLNNgW7zbNp2D0u)M@N2p~D^g^+;Dp=1(B zkr=I*ZAwxaI|OEcwH}v9e&j{+HkUIj)_2b64QL;)xR&7mWnNjD4fOZRw@% zQ>O-coe{)AFuHikI;r`+gx)ZqyXes|x_9dC7u-9y9}10%Axu&?9o;((Et-~c(kltx zR0WvVqZ_Bd?Ih;pprLrt5bWH~CX`uyy>9M3)XgVQ&)W&XRdBx)5{nrE*wFQ|@okge zSM2uA$S|bJ{X-Iq7u$>>_0`c4?$)8`yPvLOkFLcu-CYcF8?|(x&{x0eGOP}sgoasns zUD(z`OKc5Aib~T=--6B0KuJ&1xQlF25Dwp9pC8Z7>Re#Yl=h}r{7Nco(5~ds7<*i# z!k$6UlCiM5H+6w%#!d;nB<&L!;gpPtj;AnVi3X{N@RWkcky*k0FEJGe6c;Vg3Xm6C zvA;B8N=mTmZCQ8nt`rtUv4J!*@}WT#roX)wFELb(p?B#WU{b@*jNLGj))@JY?Kw@g zijk35c=-|Ve4^1o0lHr^Q1>h8SZ>lhO@jW5)DZBM^+ltoFfj>4s1apGG*C~yP@tyz zTB|5}pZ82erHZtPev)>TR`J+~M~R8G(rqf9bpNZ;uEzWX297y%%(9gzD(nCKm&_CM ztAtmKDG(q^UV;{MwLTv4F}Gx++KCouefLbLQv2n5)f3V^8^2h=4_!%MhwzqX8dfFP zS5%mUQIraswK)s=(!RFyJ-LxYd|$5QdO^cXk}lL(u(3k^KOImkthH8ZX%j%~Y;s@? zcSUg=RY4F?k(}Lc~SEy>ga9vF^VG#y4DjdARaY-sRk>|5yCUI z_gXLgCted|AA@q{xT6fD{Cb|jr~+6ybez{V5W8|DOa``+@UK_cAO~Rx5zMt|FC<|X zQLVslSmV$~@+yCN`F?B3(5+v7e?dIy_U;HIT_ityk*h2m)d5;UNf_J%`}5BHBi(Bz z{u+?Z=mQOvb!QnnZcR?G=1#Y}U8f0Z0DU67QK1qxezplR^YZ)mIxQOwd@||q4b0Gz zwCPTm6MIi|Cm290=YS0jSQna zoh342W}b#L2gd7U4?VrMOVJib?&%}qwxDBwlSxLEzs>i@6>s=uxG`7l@*q(5cZ&}N zy07beg6WQmU(}Dhd2M#(Kl%@i^r&b-8%+8c%BzYFUf()xOKOFC0wf!M{5#u|r^19H zW3XhqvCN97?L&@@8HU{L9GysJjBIEN*_bU1He(`>*xFyde@9XlWYlj7(Ws^66NboK z0UnE&KmO!w;h~G^Mo7ADw$xRzIWyn{)BQ5^^idtER^M_yOwtd^5P(S7vbe05)D$PcJ{< z8#sz^H8NUjPfd2(tKIC!%uEYc5PViP9x<$KM& z+Na|KEZ`KOCoYaK3#Y~tx87CV%5hc`vYv3WWASV}vtu@1PkuT2Wk1^sxA?tdpK~NN zupSJ+PMuiqc=q|KDOa#?ujT%A$)w}i3}A+0J@!Q6-FBEa$Cn=-?oQ8MW#Rk^pq4rf zV=e7s(bQH|onL++h9^#rd()G~b-$S=0;r7Lgg94qv&_4b2Sb>ziuRM``>|ZW41+G+ zMso&wPkmqB9}ZlX*IF>a6Q~~7nlr5`mJsX?{^_1R8oFR~=z6@@81Ct;M{dV7xDNG= zpq}x+|RNU|AOH=2B-7L3m#2!~WU$y-`9<+`v?=mr`iSAPDS-wuE5cgQ_l zd4eh!4WqwgsNKsC2{L-b3?c>PZ4Sw30tfVD;I&cT`?SPSfjx1g?w)13=Y(dvA`O;1 zo3wh)2 z1F>6w6%8K~6E(Wy@ss%XZz{~~P?)4ya>wU~{e5#Q;+u%6*z@UKa_jE{sp&P;5M>ob zi92)l2|AhEYbC`?apK7Hr^=|!r?)IPbx!Vcdy8A%ru8*3bYf`yC z{pK&=8X+O8Wo~=U_ALBD8r?g6lnG`prIVzyH>55@-!b469Kw&&{QOyde-KCDi3vrr9*p+w`ww&FI;t!e||C`q7)UdzA2% z%ot9N$x`j@rG3hqr}+cAAJ3oTrm0`aHdU97mXNzQwG7=m-XC4kS2BdXqhMS1Wm^zt zq`EVM^pSM_D5=@&khQj;IZw;@``_p(&UuO$Z?+R*vxR4b6pVZ$s*n0a#MdILsLB>c z?fFnL{CRXHie;IKyBWd!9oIURw4+&>ytBgOwuj6f*l$vYBpaF(3u}9B>|F^}HCZ&BOE+kI=Gkxad4+SC^+{N|; z2LBy_v3x2vBNO_&lR zoyuxKs5MDKq!>DElqgNn3kWo@AkI2x?17+nIkF#DN-$xU$bzu9IP_5N=_JHgSJ^eb zqS{opA57pr&Z&wlI$g%h01f`KCH)w-8s?UlSPpdQ#V=YB&*}bjh$+6ed2ZS7VR4}w zzq0$HCiQwdTc>KDx=Mb4c2E)whIlh|B@jzP(n-FGh9CvQq-@uhjj6^5u1-?8tj>JP zZO*F|x1yn)t9rvX@g+a)iXGR%68;5f01OJ4Wj%}?^t>%B$jJ!2UG6f(zzYAx66<)m z{b2pu-!QXP>H4-3JM0vP4TJl|K~|rcEzxG7IC0#*vbTB8qkk#kL0Go-0xRq*+co%T zAJ>J#{YIJMUH>eC9+piIXSM>M{LGSJsvsvnvtVj4ucv}v5kN^EOH3Bng6n5{b;SO( ztlNutybje4tv~-u@7~qu|GE#{7QpYV+a_F3}5{2g>tfNIN&O}khwPm)j5G=sO?^2iRgPA;yGANnVa-us zLyk}|9=*Nbu=!q>p8}MiXBjGoaTBLY&Cz~eeqhLJ%}Fn~pu#ORnirF980JOPW#08e ztV|F?*D?Z8_=N6`)5zZR=UFAQ9+eDpQjpRZF1M@va+O?NldE@sPK}x#Y3%Bbm|lIm z(Ol{=EkWa(x|mE`f9TAsT6J=o>}rC@u6@CL&*?pG+FL<`xYh@HPwcK|nM{$%D(te7 z)f#wRUR~WnjbOytTz9#>e7`AoDB-Do+~t$Z{MjIzaqyi67T~$vl>=P=FuwUm@~Y%# z`Z;&=oO)CI;cgYXnJAH12MMMfW$Ba~lJAv|E#2qG%f=tF8_#g9si!LkC)FD@Wvg*+ zKGmenG`k1?Nk7bYC=N^5kJH~7$1-@_l`RSQ;B!g)EwZHuCo#A-eQ-dd+jKm$) zlRxE;RefHJzU%(nmmg^u=wD=Mb#d(AA56~t(N;P`@p|07{Fo|u{siI04oW3DWeuaE zKrd^Gc2_^OTWoDB(hjx7V@1kT9Avv1d+(Dnk-z*H2i$Gy4PPxL`F*m09G_P7rsbE5 zdIil1o8|dVQZ~!eX88^)vU;N?|NI*^E8sSVJI(X8dBI=!QJdxXsq}1Hplu6(@uAB< z4m0L2MAJfTS_Dn^43#S19BeLnP0b71dVMNBYvBIEH7(YrC5pAME3s?W>-EpttP?@& z_xXz7$(79-b=X$B;&WStW53ejSQ>pKJZ`3=#ntRWTV z=Vhk?uZ}k>pK9eZUfLkX$Kv?;wMS_ioWIaNCA2~2r@ebDnnU}G*ZtG|o=MgDkn+!@ z-&f}|Z%TfdO$hbu3H@Jr6J}L;yu!Y*Puu+3erj!fx)HhylZ*6?MqmRgP$YDvl9Pkj z8iama{tRs(=UHK&g&OZuEueEmyWH-})#(#S*#g~c!{}E&48OW2=wgUm=kevo4Fq=> zt@H8roYz+5+x@H!x2)nvpk3JrwWK(^sE=#sX7kT8r+M3tO8Pa2Dur(iUr=Cs>?74gHP5lI!%(MB# z`kWz%^^lHvNDC0_u0FQ69al*P>+@l`y(wl}2$dBMA(~|zlMQQDH>a*4!%Sj*1$OhhNnE2Y9-DGhg>v5% z*xZZL6JdV`UF&dV;cUoyBsZ$OJ+94cnxa{UuIbF~SJ0|N7fa$fZ+CH3J}(MvOhJ_iTL6vuNGH+E;C)9 zMCFT@AJYkL(bU}5UT;y~`Pf0U?`3YTtMY)oc$)U-YmXXbN$@ka=ar#(qm|BEHL-uT zaz524Jw=mfB988*H}=bqSJXTUFa`2V<0DfleM>Q$;=)v=* znDyaJxmulZ>2K6}(kXks%u^A6tgDqAJ3}|gTd!6=bh?6X~K3q)l!2 z=XNNA<8B{$amlvs#H2aM^XoL-ucFGKRylg5zwg%f=b9)tqy1*p90NsD3=HxiKzo zR(@V-JXrS&O8Tig(GW z*dI?4_SSwP4*~@9qMEfV*EZ~BR*m^r)TOC>Pgo!;;04{^SQinba)`?3JKkL|G1IZIBCeD$WMH*i^h^gMPOjYyO86l&7TB6?ulq; z3p!Jchb3{!LwhV66S;}4s;0lrbds0*qwoxKl8=TU#*8ITh<&=y=loF1z(E^awQM7C za;GW6K{j&KJFz7+N|QV7dB3MoRuYvxze+wA_DL|vgtG7SWZz5dpZnZdol)0yZU(ff zFVz*DR&z#PO6sDRuB+m5eJ-30nTn{4b8LS{9_wGef6DE$*;Mt@%lAHA7+0@de!0i= zQjDeVV7jeVS2T0EbCmhFsy7?rmyE_l;CN4r_BxzKyPg?OE><=i-L<$+wWHF?!n772P7t7{Xz zlJD=MatyGxdRJMYlcwSmMEAlqXXH=-ul=MRU1Iv2Vy{|p47ha^qr`j6xpB=IXeNMD z?XjU_;^$SIxE&5*?x8honw)Bn)*N$joIAseuoDX&RK4pGU9KE6Q`wAA8mD@-lDDEm zpOg4PmYsVUJ^Ovnfz~9hz~Z9j$f>qyYR=NWr+(`<-o5LUfy25|)JNkeECY^Rx7cvn zAJ$ghl+W04MvxmPD4C0Mr2t;eq83)$PG(VVgoM$W`|Nir=&pt-b8wD5u;YMI>TC}A z(wat$h(=q~2XU$(;L!g^-245?vSjH&x4UP?CdHF^LqbXj-R^Ukdv<3={yqqJ=LudA zk7QM4RpqX%%(|JCyH0Ih#vbGG$ap{?AqIGGYr289)IzwW!FWa>IMd>pe*t&5J(A@Y zgpiOxtZ%J|{8hF0Ik)W=p7y!Bsv=hWj#w*Vt?#qQ2`Gq+f<n2ad4B5v9K%W;ZuL?*?5Wk4;c;rE53J_GB6d(|DcmQu(PK~GL zR3!o$u2Kx#iyYxfW+nz4DEXNd4NXY0YiW@C^_Kf{k%(VxHn5Sd=+V`+SI5guDxjCa z)eQ_j%kjSraM?33;g+;JY9nUx7`0`xQ3;4)D(W3if)kzTWdp`mI#@~|p7+&8;dXU^ z$gur#Hydxw7VWSiEvcse0bN32y!tM8?nF#gCo*X^O}{Ss7EQmm)Rw_n@GqvL21nP5 zOd+%_KeX_i%GWoEg}iUopK&sRaa=+z&IO%Qn6S(AK;{JcCc@#cWt_>5+W;qnCeUq7 zz*B@x7Dpjf<4#vK`GLEsh2wXN%C~}9)M6E{nsT-j?h#M%EH^67dveT`GQ1{)tu`Pr8C@mmJTjZbMMkq`z5c}kW{-Ew4Fdm5t7xd671 zv;#6|!H>9IqZ1oANV3O1)u;gOmLVQ7Zu~~}n3scfude6^q~m{JBo5_G#FG_DCtUME zt*Eh3w)ilmEe`C*Mj)%0<_4i_1-O+lO;kLQWVm>!s-})~JhT#eXlrZaaharnTq?zm zkJI{GN|FtF=sir?t37osp_hDX1)XV&cNe7h%LbZ0;1EIJMN1pUA++BOy+;*T=e#*? z%Kpee1xh=A_-zAta}^LTNxY?U`;+;^f6_+OoanrSK0wyIutY*Nb{m-fKyT%EO}s8d zvG2YK-l~xPwu>Z>>CtJ~+T`cTxhpbkj%0(aX!M!ZTSTM)aH8~j=t1-eKE=~P3DblJMa&5{ zW1;v1Ze7}fShR>U2GR|I$uIv&rF~(>ZQ&??&*l`G~Ul9Lf$og=YsGQGifq7%mbQNb>kvxn9NZ8 zMdsfff%NZVUl&F|=uSZ8@C7(HATdpS{C6f%lVy0XikX!N5Q2Crk*PESBQXnaB>GNx zPh#qhK^Yt|=nbv*0n*|7BGC(sL>3nCKTdQ{B5f5polTWUph^y(05lr&7VSq~X5>j% zay|Xn`8(hF;tOMo!wx#PJz_wZb%1A%`+e7hi_%G5ZX6h{;1)g?7moeBiu(J`qo(xCQL)QQTt0(n9LY+K#Dsvt|>-)|%(WSKEoS`wBWnr75b06Rd$zd-^3mnfVG2(18) zUNJFPIWr9i_v%}|8M-vG1eyMiHpMhjQ8W`2O=}Ve6)KrrPYryOw_ApK=cwzYzyL?G zuM^U1W&&fiX*O(~WE>sE^ot0aTGP7R)gON>z2%$MMFFs4qGTo`8DvOT^ZA~yR-jpb z!?++fGJ^ohQRsz6R$yhNgDftVsUN{+Put&{j3bO}MbgltwLQz6DbV>LL|-%TBwzeJ z;`u}3w5ZUIM!SYdw*L6jT1YlS?FGIO6%KR98)OMY<*Yk-dfW<2(aCWT8)4BP%pZjL zf|V%*myhB?*zxm}OapFQ=z-mj_2!8XJqlsy7{0-&$_>~V64T4e8fDO*uPbM851|Ay3*^?oAIL)4@?Z+Qi<%h``CbNdt(}t4co|j|K8OlMk z9!ISandu-ivNEN4PbFJ8E=_oTxqVq8EQ$bpUm`IZBqoZCy0+;UKs1_d0nud1qB^FD zu{UH+ZD!`|y_rj)(2`;RcGv?#R3gnHBgY@)WLA!hF-8$KMKeL?lQp}P7(pUX!A0V* z+%!-Dii=$%S}~5lWoq^A?k6N$>nO^|GMdZs2U#4*s2D5jseE4NAAdq>6L)&Blonxk zN&$H7&!y=>S|;I)s0mZ3G}Vf<`g_8#>FSUn#pl8T+i?Owdo$g&-ErdpP-mQb*b3-) zGr8|?1<|6jQHuooqsSTd0Ub?iad)OmSoU080&&{6;)X>`1=t=EcwrlfEP!xk{D!qh zOOHeZa}num_yf5}#F5esd%v01KthYddG2h;?F$ajg}MYY^4J&r+GS5iBO@RyldZf_ zMnIYNC44XFESJ^s(wyc^lD4?UJ?Dq~-1RaSqa;j>)L}~sc(Z>hcouvChe2#Bpis3;S9m3W7lFGI=La&w zv`Q6e^@_F>?@Py0S>X|g6pX&@px$@^Bf7*4K{82nD=lP#1|;;uFCDz_jCdAzl1B;@ zv;cPT{VyH7=RzARElpMCnfn9U7=WP}Mhv7Jt1$V}nR8>oXO#h9K$ZrS`w*})??|`* z(z(EV#YK@xnrVv_;|DZ0j70NJMO1?q>nbR}AQn?;2Fw~tPj%oMU!nM7WEa5H0G`ID z-{b5{=LdhmpkJ_BXDl*)M+1J%Hea86Ak4C6{|@-Sg$wg+u(yRr?#=PEf6GpIlNk6= za6}l#|4dpZBXS(+)KsK9p38hqYB3qVVfFyO&^Mu{A81nf@1yX&54dXoL4&{&E`5{0 zdVYJQE?{mMsSxy5JQf_y1E7^2GLYOu>S;QbbnxIu8O!(H(?;TZ*@F)*zl;>San{>+ zl}la$Nd%wiPxmW4icTI(Uy>aL?}5|f#}84)vg29ZH)L#(uG#V{;Cb=U6!LoY^?NUV zPfH?;9zyWU0xfR>V1Sry+L?EF0>HKa?+XjtvFd5Uyxc4C`w+cCUw|hS*qNi;;8&Nc z)Azt{58?;Ux4$_NJpBF_tv*XkWoJA#=3e^F`OEW(d`p zPEXW12(`mYb~-~oJ%*p2C^~x&Q1}46gCIW5^lTXIBeR``D>Bf?M1gn@k;s51yYw zsIT8+E7ajbs=21oY;ydHH4Wbfm>JOn?Jp1-PexB%6smj$=M-iBJ9T9EjIj%X_h7ix zsab+qqQ=7*ptK-9!h6j(>RnpYzMnpLEHRzU1|~ZKx*tg5x_wg|r|aZ1DxACzsYk$~ z9&nFj{}d)fKnoBw0s28}#triRX^b6hL=pFcroEXV(5B1!SL@s;c^`n|M?ZuKqcQ2p zgm_&f;9xzU1_e(Tv3`gXp0{4~9$XdrA<~iHLX8tZE+pVc1HEov)Ef-kH=JT&^d7gT ze)y1tq4T5PT3)-z3*H^f(`0hBt%VT|I$M6;Q*q^5calul>K*=Ha>p3rqU8;T(O(3rvQWGZlf3*`XGlVl4t}KQtF@3 ze?xsq7og)KTxO_?i{P}4H4cQqgY>N!4P0c{_7(7QawQ74A4gt*hAoouJ0$MGW*q@O zq)cZ{><-wdNL)c{IyFsYy1|3>8Q~P2r2N)$058n~Czw4o=n*9vZm!*_Z-;i0njU6Own)D!TSNpQ16OG1yhvks;zjafx!J%Y ziPp((Z^jZm?U9M5mvvb+Jo7H>i6lcQW3QtyiJib(r0;qpD?1dP`7zCVe~~z6-!De@9=bS4bsAz+=1Hfses6m>3w4TFG*4Qw zXR4V&`7m<6CZ&S3liIw-VEZuZBNu8IyaS?5i&VGEd2ep!$iAhz`sqCV?Ru6R^Pp?3K=(8(Ua#RN_sofhNVqw^KCB;qwjl>6Ah1ElyowK^P##P zcc7loY=)KBQwc$&s+ed8XSWSX`R1_K-V zX0qqm%`AvKsKNf2a@_FtrcR-sQA7XP?+ie#WSZCK_G%so&JB#v3ELuHwK~F#%)rHP z6E{vA>{8Ux9Cd%&m471qlezz@t7E1pj1|8s`WnPvo^yC)pI}*YYKvX}DX=EPkU#c|nya3~uB63qev#k5m?3=St9CA2h|0s4sXtnkcr zuN%Cf8p%siImvIcsBWwFqmFoJ5nxrp@fHHRy z=3!;r2BrLogyf~n|L8Yf!>X4DGG@4RJF47^;PrwZPL}h+sq$h_=tHwm;ih98Anhew z6tdzrm6lp*3*XhsWhynDn*D*Nf|Zk`J`U|$Xnc}mqDkDQtOQO!WFSu8Yz_8jzPjB2 z6f{b7l1`}yt)#oYnIj;3aIapO_9w9TL*wrF%$f!Ui8DJ2TniRL`OPy=e=VPQ~Z|Ccl$6pm}eJ*%aL{LZU|Z*+D%aKuEcb zfc>Xwe1<{Fm%_1^X{bn}K*Ni0Z@vlzV#bmXqI4|sO>+^-H0^`n_MfBkf6p;SxQHG8 zazzQqFQh;4FT-Ev7juV=K*Wvgm2Cl2*%1fK5f9u?9@wi8?-px`spB9KGL-Rs7Qaz#^X zvRYr2XQ8Z3OiQW~}#yQUqpz>j17isWrufEpccsx)M&nQfCf=snPvF%4taugZMgKw^--BJp4T zO@0*v+d6wby;V>7I)}eoYkVP_R-ktalCoaY^l0Qo2GM}SH%xkc%qtgc*N9btzmS9G zUh=kJr%VnJASJ+U+4=>Kg4!Us$5=GHx2B}-NoYY1UKR=Neq^QyCFVk8k~y?TNEit` z1yE_yUWV_OBO>1%%QF-!Qt>g@NX>#pWkZnM<9dTQ&kbnWmH0Gjk)BSZ2j56K?cI++ z*mt)K#yk-nSkc?6!J?l^wqLy>*tnU~rrfRY7&!`#tYGGC#tAp=lJUz|gc}wOym-Jl zfJIkV(O4FegKsAJ0yb9KOi!%pHoM&@JsbL3LdRwUX} z<|)4)*6aI{Z6E_rYyd8_n=9kP84?nx(dDit(UQ?K87JLw*%ChSGSNRK%(qeu!D(z&Ym!>VBF7=jN4a`jJCZ>Io*= z36K)=4$xDVXsTxYjNkGWXAMoX`uq&P*xOqBqk}XYgv$f!L373gBhP-%92~QVbfx0= zcay{pmAIWwsO7*Goaq=a|X!YBa+W2%Y!sLKa3;A-*C7!6mJqlJ4peE zvd5A?I$BW`X{6|z91KvTs0Yl>6p<=ZJoZQgBpO`(Ne*05AFj=qLx(zxY2Acsk}4!! zqI?wKN~uMP8&#dl;yU z)toZNXCQ|-vBIV3su`*hhPapu_~QSCs^BXcG_uf~MAi9@HlCryA$2Y8spDybQ+Qmg z7;Q-k38)J}{_C4UcsGAx6f(t1Doyn5AwTX3w*8@RCc~$bDAUxkSmmPJ zjEON*iu#&QhD66c4TlcWmy2K)KU~!fd7>afFwZO13dlgEQVv*KIs~?}_EI>f?P#N* z)>4zu+UI@Kk7BhC|E(9NENpYy2J)VI1f=#p{r|}r(OA^EAe9cwAb}^CPxk&aU7|je z-zHIk(-O5OV@u0)Oo+#s zWx{_Cp@@u9qY#m3;YxsAqJRL4i2W8A1&5MUx5=*#O|f78m%sn#fB6r7@dtnM5B~GN z`imd^^yh!?@6k@xLRY&MJ;;f2cUv5fz)vB?utl6Y*~#cGhJkWCt$y*>|JpBq|8LN; zZEL9hRoM$J4ee_O6i3F;B2S?H{7-)Omw)FEfBtuWLdE{_um28;#Zwxi7Jxiv&m#EZ z6(X>wVZWP;3DqzDhrjy|f9F3?$19ymg?s7M1w6bp2<_kneN_!9vy&W=s){pkm&o$C z2q)pyJ?Biq^i(jTIO$IX=`o9pvHAyp_^1EyZ~rF>AfUO6^#&lrT`~6PrZ|?nX45Sy znW#Vio&V^Uf9p^G{P+ImFaP78VAF-W97a}dV+5dvN?#V4s$cx&|L~W8^}hhZ>eXeW zqD6IAxWt&3meFYZ=$F6qw}1X8|EYSyL0!{0Hqh0Z>WPsi8(6JWWkJh&ak)CX zdAqm)M|t?>s=Z#V-S9oB$0xpMjr8n}J+&h5g{m*)M(kJ+n%7~-C4H3x?2;^EYS~Fu zBP)1*Ik&ux8*iwCo7%=v;API#d&^u=lhkv5Jn@|XX@+Z3?hDjcz8ov;CvqDf-iVHp zKqFXiB09687nmb=`WDQyEONc-hCWEWAf8g#CRW}Zcnc84U-r}ugXBt>p5&6KTF?Rzkt6}ONW^K!Hvuc;TcPw^}>yNma%?feCZmL>8dzzkUMPBq@SqC~)7*Ge?u;0cSTikJHQ^scM`#oo7yl#Nr=w zx8yj|vimGDr<3He;|;heliZ=_%TwGUx9=^o>j_fDOh9b5kEMWcERSQ6?$S_1v@@&-Mg|ZY}apJ5l1b z%u=?iCV^Y7HDJ&*WAbHpwy21e@y>G(Qdo zrX^M_2+}MuSt7}j+E^|*gOGt=8El)#^wlOuEIBfpgChr-_Y$38;txYFqNUD9vCY8b z$ecq)lMa%Pf8?(FRk^OEpa`9p(HdvvX~-7>xrvcLZ2;vle=IIwQsfo^kj0B}X&Owk zMT=~-VPA8^r6$tpp%-T!;8P}f;z=HfYQwdCUV)y|#_EL;cR1%uOul52Pi7v1zD?j` z3WylQg@(~IPpU?k!SHsRd`5{Ob<1Q+O}1>3Eixz1)5kyhUw+UchR;ljFoYjl7*8_7 zdLJ^%nkBQA)R7?|GV~DoCYdsm$)9B6U4ZA-*9bc0@NNd>fgh{*^Vn<}Yt@8I`l{I< zatWNr2>Su5#!=*+NghaY-lh`8+=zgU=E=k{+5sGC(rK1ZvWUm^FkQ_$_tP|rO$Og& zK!^kYJvJ*+PVGb*qFU`@_eeohj2JXzjOQ5>$ylsbvV2iL+9^p#@TR$vc`k9{9y=n& z#sZQQ$z`{%)P_`hL%T2^Y)rn^WJQ`RW}l#~cox|WM2%q;lIAs}H+w_i+4N#WSVkwi zDuOhm9*F#D7T;zOg`sLLWd92gg3mAoVXD|fr5t}B(VhM3u~h`nTQzCVz63M;l`F7=2X)Qt+tLv8qmr80PZ-1Ih@Sty zzh%(Is%FhQpQ1$zFKA%O(e{9sw{=c-AZ+ii++$U{=Tq)f{h=uVSyPwK`(j6?)ut}C zXT0=w7_Db@ppu>%C~&DV@IaK`8*`p$NEdnVmE@4nSv}A3)Kt5MI!}r^!J#^*ZJqjY z_yxHW$&K5HY|Pvr_O!JuGxE2JsXn=qu&$Fa6Tq#y!_}SU%g@)R{0jWw^6Eb4Pt8Vg zG8V&SXDlYRVvxC^)BvDucX_AGe;CS)ljEWza`@TmT%cUZsZLc>79W4~@qap(63)!g zV(697DZ8BE0)ZL5%Sj;KLKzT@fv)(8)pO2mt)77TjN4j(s3n17psIv>=l99-nh>_r z;n2`Q4md^tZ~zwTDq&c zayQ=tMS7VlNdUTZVH@WVRNr~-VLB@LkBiGd^SA0Q<@wo0j99W|lWU(J8D+99J}~BQ ze^T} zysOG1Uy0gZ%zv3!XCd!S72)NFgQG5KS17CI3_KQqbwV?r{D>E(51+2y0E{_7Smiz* zKY|YWGX#k{7dB+>EHl!gH@W6l^PkZzot9?@<(fpjb!7}8@9jc3+an5kHKpL{iG}i& zyRAOmWv8Ce5L)PYoS7exhv8&UUp(KxnPfAU7!rjaymdDX9wU$>Bh_spanTo9pkjl( ztMVtgdLMx`G3@3?grCr4$7^DDzjsN0^&OWMBks24x|@9`%|%GL+q)*5g8y!d6?`bo zCp4{NA_dvO-CHZnA8silCCJC>;%1CC6S{Aj^IHX|D_jLv3}#6R7%5TL(tV^egx}g2 zP=wu6E`YFnL*q6ahQsTjAY+oo9w7u3_q%w^wYRxyz;U*Pr-2kcFDRaW@s+!*Te7Ul z*N7em4^IQ^I3Q|G4%9+064JAdojUwi?N$nxBavSPIsbSUdFTdWLH zTF%!K9-u(R!Drhet)F7!fLgS}lMyiY4gCA2SVLQ5`W#`-;NMAwbkBu2HNXmD!?RiUOIcm&~t(_COk1B*sHK}g}UGXIrt8<-W|!q+e= z#KnzItgaL9Hs&nAN7~stiGF`7K^@7i^0e*KNlcR^-ggbW*gn(9zXa+pItr)=D=i?sJ2~%FeBRqQ z_m`xBLik8askfxC)XGZ%x6wfu?grpjRBxEA>J?!vZY8LBWM;sj&pkIs_t2J|aE*=v zGv(tpvx5VJ7ct4g4r9^I6%f^48#@n<+~Te$kqu7cg4T2ii9VF|Y2Rh4&Y#M$QU^*( zyQq7h8G>+rT4SW~gTIWOpdbV6AlXEQ59T%lQz@Yj)X5E42H>I9u{qX#{G(M)+ZS`F z!-u}?q&gbGt!w(9Q-0g10VZ5`dC_W)^dMCMlLxc~-iGoz2aIlKf`hbgZ)`({Dj6x5 z$W4zBFiP6vCPQv8<%LiZh8{?Q&Mx~Q)1lB0*RTA-Y*XPr7?*ycCRu1alQ5hl)XERX z_@fG5=(f~ok}Obgq#1YtWD|oAN@w0JC3PsN$p{*co5?GWDLwINbW^xyliUHkkdN>F z0f0zD*-SGrvbph6o;Hwj$!4O5FV9y`FLQ|RKL^yyF~qpY z1|2z@w(z&UJ;iZjtrwtIO4KFQY_~W$9X}43g{dx1bokOv!EYN+#c+$sE{_Uhxm%Sih(R=09#^D$ zAK)vAu75Exo?g{)T~vT9hEpq!F-gqp189k~9?Evi6MHzM&N&yrnK*pp)m*I8_@Eo> zI-|(uMP;&7;FClw*rV*DHq+n#;)^e^eoCGR5_U#Quh=pF(15t8?022q;Ncco+_gJ_ z`Ub08S*t*699j?AmkORSzR(WrY3k%)9ncxvY=ehLf2rV)4V-Hin8S2}!K2oHh{G>Q z*T@_Mga96!qyC^I`_V%feW^$%B$a#J93^5zade&^JcJp3(+-nZ0K5vodY<@c3AZjIsxkJs{nm)@;HJ61;oboZ{#K z^B{Qml8m_^BJIczrOCcyuW3^cRfzF*5G5W$nITYXz?K)qTH-vZ5t?fbH|_wnpvJ;& z7RoZ>cPRmVnFXi?H`w=5hYnY+X854dU+7;=TRL}p>^X879i9Q1Ihutr_fi%) zG_Rhh6EqJ+ghoUuStR%~pkK@Lz6Tkl3b>bOgyTr#)dLA4?Nt2-n!pV%r7;~mZdXK` zBL7AEoO8^pbFMtjj$ZWfn+$>P)Xdo^4xiLPAr*sx@ZlZ9Gb6}C=hScu0R@OD1sOU{ zBl;UfXw7l7{SGV4dx)iLGMxp!=_NnJ%{{jQYni%=ma`7XCigKpD6#K!C+6A=X~t%# zUF3yH3N$F- zC*fJGJ;z+UnUH%LI;%8Zt(1A`Z%K<3F)sCH} zx>DWfC?6!d!=u4W?3i#Wk+jqt3kdNZERvQ*G04h&(3;lhx>=VN`Dy6HlA67t@~+hL z;I5F0B~IPkl_G4zCy-9mbX??L_pH|AOa;KffwbGr^;m#LR{D-M!@3wm>HDJO%?9N2 zG}>_UoQpj)J^imL6_dTdjlpT!V>ziHvmApO6%lZ7OQ2S6N;*&xX?$*AZJIl9wQ8Po zeoKb0izgRosnz8t?|w6c!Gb=W<<4e*JvAJxMz#s*M7xiFe10xj4>Kp9k1L*i0g~!H zO$5m$!v_Noni5|2>rQyoc?Z`wSt2zYx@N#?i8I5=x!{+8N5D&I zR?Q0B$JZAUM1~LISt4~7iGZyYAQ9gLZgB%QU>=P>Rt(vDET4Ta$0Z_eUh#_mm21>B zg9gX{Zpl!nH`NvJdZRRi8g|9g;8Sl5z(;)bmAh&>)*1O)OnebXG2RsXGPAYn$ztd? zv@3Ct+pec+OS`~WC8>;rjer`t_AnkNxm_-vLwzZSQVvpM7cPUc(}$ zY4*WIav)!TzS}*X_U;?9P`>Z(-{Q7Z2!Gr+?h%pFAbU6hqy3FFhTOi};A^m}b`Ew> zny8F#ftx@61593^zN3@yt;#~Y9o8kOp~`bW{oa<(l7T^r44j9;%bp)0Ly`;`$k@mc z1t#JBQh<1hg5%B)kUR~AM8I?Kz;1v5QkxXGW=v$qqIEW@OVPuTOc@t8xM*1hooVg0 zmA=JO0HVeRdXq7Wp8?P9jSnIXz;K%^;0GO&$76CBAn@1?xw)B5UKn!rVgfB3P`Zeu z`V3Sn>2Rft!(oh&^7-LyK+*;;0oojx7L09vBrSS)Uqy{3Z_2(#9uG~3BK5!j{*Sa5 zJjB2eC|jB;_p`x?o<|PZlGs-9d;z68w`Eeoq%mgDNG;@xOF9py;9c(~3oV*8#9zCE1O* z19ewdb!l;HQRB}ZU=7UXF|4?^YTzf&%a%9i6Db0{Tzs!dq!ZELar|Dsg+n8)Ood0G zb904K$lTcg7Xa(sGg)nsw+J&7hR}1YBj3U08_VkU`N@RlGNln|A#1o-k;JQeLFg;h z_tAZ17swUOkN83BWt`zCSvwI~mn_+Ypq6#rtl5FnB5G8EUWBO891xZrnHBT}*`?7k z)Nm9WI5b;B7F>ae1911xi}nLF2U7VV>miDl(S@V5(4k)=mPV$=md42Ct#saOzP|!a zPC;k$o#&gU3T5f`Y(Fm^)n5d8zsdKUQuO`p=ZDyfcl2j z?4`^_bM+KsFPTYAoG4SN!S^~AxF&{Q6mI((Z~@ms(qkalqle6!$F7Z%QYXeMABPn) zEqzU0H}ABYag83*bRM`i%FCRX-vc3#$rg|O;gIiLf$t!z^Zn1lx5T9+XAj*tEPQGtC}v5XfkSqrkw4v5QJ)lD4tk zi>^9fcZ<15`q==dJd+kWxaE^IvM=%{kT`AG(3!UP&S=v{If$IMIC5ya^kt#6P0m`P^I#GZLwl^;%F}3Q!)h$+5*7#CP3!M-H{r!AyASBrxt}&J^nwkrr^Zu5ef^ z+P&;d6f&FY5jJ%xCh%s(WKIH|)1VVv<%obUM1x4@<(#^irGVF9IJa5PB%YJN8Nf)r z$W={K&1S%Ku)>ERFoOJ9HzdB32zxE&rugx=FnwP*SnMn(rglUdAE*|XH0-9j%I9}h^@UlaF9nJ)X&i`Yb;#bY)dSP`>bxiXO zA4V$UyKojh2i{F023r}$~qJ$#_ebjB$Sx+GBSP}_gFlB{0Z>$#`FLkiF~9_BTi2RF#scn4{yj= zK~ebc~4pLh`jOl}DOz+X(j-_sU zD!*nPI3Pwza;SKLH%abswc$g~kJ30HOR(#?eakiCDFEsXsN(1qI%_G*AHXuBM+#sN2mU8hv^Giijfdo3$l^)xD2$G~H#9rQ9Df6{>FXERhE0^u{C>Z6U2lP-8z7&X1!6-5ngh9b1YhD7<5*7MGYEwUH{;bJ5G__p4 zwW%dc)+a6MJ^gR&U5N}$RrXt-$153@E^dCChJ!l%L0-Z& z^{4WPDRTL-%pD-5KNl|FsTip|;xqa86KU_IM5P*2 z1*Q^YB%bM*so@s5hV>@7hHp&u@NT`kp3c9fij~ULhk+%eW-nHx>yJhIYpTc-Kg>uf zU+N)GX0sr`Z`diq4>PNb9-8Y%(MzdHW$G~2*#tdGudvr}-~QT)FWnU#Wsyx8^I!H= z^8c3(Dc!X)^%zsCJ=olVU|bC^v+ToCH*_)=ZGYlR(@)f?LOZ5ujP%#ilxmVF^k$VY zwIAyPCrkV3b35u+suT~~QkLyaQW~yI8&(`oWm`C9%a>RXt!LIC;Cn3)7hz)F|3y@n);qf)wPg*eKc~jzC;(DP?)i)w(3zy=usE!4q_GKOy3J zNr&I`>m0z(xNcVn>H!EW8HhIRJKWf+1LDH!GhC>15Dt~OyDCX4LztSot2G>?Vd76q zLFV%_nXUK-d>>7x$j*WQcx>ao{!`fx7{Wujf%`V8l!*ScePh$o_#e1I#ZeqH^HWn) zpOj4Y9-hV#DP4cM9_xLHmwk00bL857I(X*KhzRULIT6yKvEKco>GJ zh14{Ndv4lQ-c9@#X356hYK~7dLC{-en;+mUK_*%UC{{d>->*v7uH0+CQ{_|nXTPV= z$@kNtfE^G>n_boPuhs>Q`PITeDR1$4T5kR?nQs|HQL%s$H$_ju^9!{JC=@2pU*0Smfr#)K*92TT3^d?N4sCO=wl1-I z+a3{I-GD3+q>=VbHZ9o(Zh7|1Pt+En4s9c#3ZNd>US>-QB+E!0FK>KpFJ_RTpbi-N zh@U-dj(Ers8}yLoFtjB|m?V+Yhmt-S(i<*$<{s%u^!3fuU3BjUFz zB3s$SM+C8C$%ZV6(0Pc9wxBPB=qe9A%vlmMCf<<87s#o{LU^tOg#)l8KHR$`S88$r zDeI}M$kM$^a6=-4LlbuW@u&4b)SkgLO|oW=eXE;f^@U>vJh6uZW1*N1^nIO~4i7z( zGnnR-_=j0}A!pO3A44;Te024OnZ^xKOxrfsW*FMg3lVXvr&;153xiMqlcHqa4nf#J zS7w2qNjS-nD;aY6^6ETJ2_T?&G{z=}nWtpIH3)nkqE2WjF_L*;U~xPES#T)IkR=7>xE1NvwZLe_`M1eMW%nt9Yg!Goj zk3X(0;tbGCsDdW!WXKv1Ss9N+FpOj&no-gcZJSyoBIHVjTrx`I3W*KwQvwte$z+zI z&Sw1=z&8(@mYF`ZEYis2Fe{N+SS3d^*-*5_aPl#%so>}Qo8LCv9HQN@#v{*sG_~`} z1$$LN8+CJZ);Z|mo{F|8ceT2f7A=Q5Or=3W>eV92hj|h&lO)X~$%Znp$B=rbQW{Sr z*dzXaNKutEFAoKN4}AH(pOpa+;}3leq&$&yq_Q+8eJrPvj{U4UJ}0UAd7HQ_{yDn& zdDUEd+Rov|!tLSeem!mR1*fS<0C21kGE0Ky?PiI{_~%5^x<12o)+D>)eIli8g;EL5 z@Q`fZPkP6@lOP{|X9d`~0Eb|#Z$JF(b1km;5Fyf=>+|u>r8|Aov@U3Hhqzz)D^x>Zq8$l5&zf zgk&MygpqM1YB$0vua29ecNH@jkK5tEzhk#T^7Qi1a4&M`rj@NlH=& zLCm1wkIka?4EFpE<>u|Gc(=;S!UfwTG?cbxkj@f&Er~egUA}>rAy9a0MySEFBw|1{ z6D5%TQspZIprN33adoTWLcP0Hfa1F32vh+Ku;3RUtSF{K2iZ{n=J;;aw`Ki~-L#lN zd**MQi~kk{8hQWy7`8_r^3P{^H~mMLaV0Mn#c+`Q!qxiAIiuN&q82Q}!*#Lot&@ zSMamXcU?Rc^>{>S7?2BqmtjD=C(8L>zw>#1U32!?NJ$JsH#q!GoU#sN@6kDIX?BhK zlo#POb?fdL@oxfe={FWRcbB>qITDh_YDG&tr++s4esudCMQ--_!LsIRD=>EREr-c~ z7K0`Lga+SOs6TJ`J)xPUJ55!G7peR(k+Leg{h>G*Iilwx>8%{=Bv!OeY#gRoWKT17 zpKoZvOvEBO^SElPz)>uB;?x7ynbRF-pVw@|4Qu-{yCYX;ww9!s{tA8RhwirA=C@vQ zh-XTTW7lWP9tZ!EvS)nKKp4K2dFY`RSN#!u#nXv8N2?i}@uC?kI0yssYQ1kRhuOS8 z@A-OSF&F4Kx$WE^@*^T|^;i+AD=X04$UTuf9XfO0PHG4u({$vtJ;KEmUx=;4A$3MKRG%sV6k})b zUZnriDjec;eEz?{#%kD)v}YC1eNjmU#B&)s4*DAaH#X47V{yR{vtvJ7uWL^VG%-2$ z(+)QgI1kV03y-DxPJd__kHLOk!F@OHq(lY0SP*UuA0@yn1XTvvA_}nJe~G;?a{<)A z>1AQ-1T@IHe7ZmT(~m#>*^j=R$f$iaW1T`#kFaDtcl`uTb=F4k4kbfgK*Qaf5P7Sce9Tz0@D`4eFd<0N8Rf!25t1x4r_yZz~>il3b&nd~ME24}cTL90%407;sVKLpY zcT#xJ3*0=T*U;v#ENG0ADR%PB_w0hQp-!}|Ff?~S;!iW)A>3_+juBj>Nh|5J%fx?w z%jADj^o4!xy0QiyzE4Lu+1&N&;SUB*35KR-Q;6G%5!sqlU=#O-SZo)8P4h@ChIYOhR+FBCN007V;SHC z0WUW)8T!@7AJ^{b?X9+zEH zz%>sbT4X1FDAqkkV2~c=3O8B+&V$Z9HijY#+Yuh63w9b1zd)gOMPrJaQjFPY@FG;V zZwl;p)QY}?$j+q}!*6t2B5fB{ah-r<`JOwJ30539%5q83P!JQy3B{u@CN%6+X?jVn z*4XLws|m!{9l@boi}JOZNM3=quBp0Rkzdy+h6J ze7oyWf`0bESzh*kh++-}&Q3b185WaF59-ak#@`L&SOWW z4O1%>v@0-zGx8m8C#{}9bsAoaWf7^t!1l&*={GISbG!<7v(blUbe;}9(Cn+T%L8NJ zi2HNCzbzy&oithI%rt$Wj;K^u)Me8eq~yjr=+7ouI^r>j*8oEs-jov?DEYC!tOqN= ztM=urIU8*C&1t@Abpob02L-$-Co(|t;{-GCXmn1uG$wq*IF@AYCGAKV`QY`U8PCu& z^X-g|-1E!ASL}TOu4;sO+&fk#Qy~M+&j!kanFD}VY@BbLKw|(#ft#>^%h*8cr(?Ck7zI& zMC!Nke5%!+j{kL!0XOO3Tc;AfXoywBtg4|CNEaOYb`AUrN(QGs#hOA4ID8~a$;euh zCA(=>L#bo3EQUZT)guLdy>X8pe^627IhAHC8IKE1q;eYQpzw3gw1f+ytA}!1a5|2(h`3vP74smF!${uARU1G|PA+x9eh$BUFzwz)=Hz#NZissQc z7Q#o*={Wo)wS5;EajEJzQ2p|c|6R_Y{Ob}vEyw^4SjDhW)Sxs#EOP*J;Kbeur0djW zW$McGR!AGDkR}BN22emADglj~*6zoj)+S}9Kmdx##zFQp!T$As=8G?EC|_6X@Nfc_ z1oM}^4c3FjjJVk|oZ(5mC*xLoT5W)qk@u~;A{~y8ozoe#AosqW675Nl0?m;(bHVO= zTp%5rH7Ej_QwK0v(%V2JP5UT-oS|@Y;UM-XYXSD}$lxu&iA|q@pwcnXB$SIWW-NNS zNSZMDW3eZ(CfiU5APP5R85vh)_RIkq8}0bqKs-^QP{gEcS#_F_IK5n8o1aJ*A$9co zqLUY6i3lGeQwncn&Do`c*>t5ej=mP$-%WI zK~+wF<9`49 zT;pTY4ATcrHw{1fi4PYZ`S#S1jtoTFIlw@R6)|a>E$?pQXwqPKfsZV14c~Y9t9&Rg zR=K+`)=X}jle)1!0AiExQkWZ0R%eZ&wBhRE%LQ&qTGE?l-J>MF4&hkjaV&9d=;qX8 zJfSIBz5)0PSWRl?FL7}RGRD!rSkhF+_uZm?f@dnfRaX!(6i7!kE__`)YD-(TfF7r{ zh&RKwAOjf}Q)4Lp%O&Ez@@$qOmr85DxYF7l3d>|e!R{$ju~|2p5?7K%AvZbvP<{ed z&bgZepuRGOn*v4lP-THnUG7@BgEwWG_&w|lG{8BWCz#%LUexz^1W9cqBjjJ4lTQ+HN9VW^i&M0FE!OJC_=rp*lVIWt_VkXDx8K;ih^(&6pD$oUF+`3dZAR!)2 zP7qJ;7{7=1>GlfEWL%3TT9-7GJN-GAGt?k_tp*+S%N{pI0GBLH4e&A!`fDb9*yhKQ z<3evXgnN~kh{62DUO@IjQEny^DtfI#$DB3=Y*}4yYQx?qa>FrJ!GF05V^(Yt011a( z3C|R&0q#bReO<0g(og`DR@VD`Ri4=$^O%!SY=D9-ysraIrad;K{f0iSYKo@n*SXv9 zb7UioFH8}gGZ-_Y!>{wRK+a{pPC`}G&y9=Yd_4u(l{itsSEs|TV}AC~4}9R;!iU1m z*XssvY9;QoixV7g>a%3%XzkD@2$J(4NW=k^qa>j%w9WJLizSg6pOdPa>MRH-TTlBF zUm-IlQ!~Vx8tg7^&JORNNfM9_Z6D2Og;aNo@G|G0hmnYfgd^E|d=0vMYRR`Ckuu0O zGb-du`HaT{CUalgyQYom*H!MyKAu~?-fa)GIWh^iYu6BftnePx(Sn924L^Abc?hm) zJ8KjUH!c!NyCRDm`1z)g>6HSbFF4`snqfzs_W=MXFjw&CQ@Cr8~S?8w`EiOT)?l#|B;rX5#(63$Qj$^+i-1d;x(aca_7XV|TdI zqj*_qq2>dy5Am^79RZWwD1*aLuKP1g&q=})bgX^BFL>&Lt1nS2VSV143;e7FM;CR(Zmq%na|sw$U~#42=m6*zmO_U!vl5i$@SZ zxAaxB>tLxarjWci?wgj>mkpozQUiVmJ)Uq?1W z@YK7{a9$Zsa}B2}vTA2gD51@|;HS2kVt9m+aT&}(eN3i%1n`!t8N_;F=FPd-Q=1dI zESlexm8qlLk^)}S4<-aJk ziOac!5gNTV5_my$z}N^ql2+fkoPbK56bSQj?2fR@v|Sz8m$RIH3GXkw zLI5^z@-^I;z^yv@ifu7N!8rL^a2A$dJ50w8K)_IkX{dnro2Vesu|}MM1Q!EdI!Lp~ zVJ6cRpEW9s;@DH9JVZWtTWEd+g0`8Y^aa8j1BboxX|IV=P-y#MfS-~uQvooRb;{_! zUX-OVt?4uFRIrIvpoNbU1f_(bhNE$k(7$B3M?gULy)g1X*tE|X)guNXG-(SN*wK?z zQPng0CyRhG?PJ7ZMSCc`fx}b-3?WQ>)FZ{z38pP@lqYDGy$Mcs!VLg1^}jUl0_;5BB};zyawBmPg;zpVxHL<$C}Wwe*JV> z@B@>XSDfJo3_#u>1kVV~*Hi;Q9CXj5A<{O0l}TpV6;;q7#>Ds1I06U*4NnF%ha~pk z(GlweYZ91IfM=95P-Q-N8{;6Pl^$~_21sK3n7T8f0n4x;k3fT|F$S?BtqeEivKZ0kF%d1dhsF5g$}Zk%!UO3Ai`26gv!@Mq9R)u+BGlT*Jyq zLduuItAOf(2}4zie9~Qk^&UF^7h*#jym1(CH2Z-cm|sOmo8GUwchS&rSI*}0rR)%r zO9~GdCtbm&vX31v;P|u!ozHns2RnfNM_Xq^r}B7<)C#0YER!aWm`Kn<9>L}dN2WdQ zny}PsagqWu&nQDXd=cJN1??NuVF)GMGbZY#WVR!4ng~Czg(eEe+yTZkWDhDb$_{{i zg2Ou^RA5Zw))$^S2inf44&eT@5JV$rm&X_Ckvg{Scim&#xtD!2uR;li!{d5auH@;L z1x)%O!srWT)2S*-Y{V~g>LWsJSFoR2U^gHnk$tTvO^R^?PZO2)=>omlaq})Es|Q)W=K$9Q+~5E)6DJzlfZ;b%m75JHy>qV8n8FLp=u?hf7&cvUwhG6FIOg zHLRj!Cg7d|o)z+W8KZz~%Y*tn%O^QHHUsJEV6O6NZ zm+$#Xy~uZn2&AEE4$Rru(7)`skE|h6oAW+S=DZN(JpvwfR3z}84(2JEU$!K5LW=OEne&OO}9N15qNW}vc%%)!On z6K=hvtC;SC%wm#83mSg))Hs?^)4J(sCWp@22TiIMxQ81)1!062XIHpXNb5y(lDl_z zO;2b0w8KX0VJ0yqi4kdN=33Xq8%SHyY=HTK`;S#o;EZ8zo590r6gHQ}#1mvoCH7*s zDz`Wrx7a6&5AJh*XrBxAnq{{fD9$@th@-rDza@|thotB+Bpz+eaG+-rEAZHX$OrBZ zvtgZJrOsq!Oo|bc8VHV|p~nuuCx>GVYpBBrU{}T1l5zS-bMt&2hIlYOreK~4I|n?Z zo@kC;!7EwHPz5ej8~A6?)Ont`Mv|FuT)_=(Vg<#sN;4}(5IP1ta);-%O~Y5=FAg!73@(B}-N3=WT#IPW1bHf6qXK_XGXpHcXwm?dmJfd=JiUO50|KG2@cf#A^h@HFFM zZqgadS7?`}I?U(KOn)+RaOgcmtVn?!@l-6AM_$377>??|lI+|^E64X{g0S3DR+HIQ zZMH6sq!vLcXP|7>2(qI63egeuY)3HF@@L{AX2gl1UC|B&2WnC#F!R{|RHpW-&9C+} zt?*4@RE=4mvts^`vYyoyAfP%oR{@D6RkI-D^;9gToLwJgVcbkR6XTZ7is2oCEPwOL z)a_}DpD#fe=Wr{635bZcXqsR1bn{uy5+xWl+%>pd-hV>S3`aGgcBT($=xqMNuZ^)f z7%^P+ggCkqdSTx;tj#MNP?R1%(x9v+4fa5*nSJ;l3_bU}PU*5xGP_}6N2bsb);602V4zT3o~7~q4xSh4FAL3X zTk1nwjZLA+xD|S;IaE2EmHBE6JuDb~+2@q3mnGln;}EE@T(S?k)DaU{VcW3tDVi2K zE99osY*{FJec8!b7MoHvs8@$lLwl{yWZ+Dao!*^G(OcS7X`iPe!9^b4D-;Uh+PDDn z;}aDe!un67;Bdqkrj2e&yl#p%%( zpN*^c)o|#Sr!|#&zT$yf0wZpZ1?pY0&N$ZHmKw$Il*~-2;uk9wf`giIc93Mu9nMorM7d?2HpUMwOtt3U7P+G_sefCv$(_+E8ZzrK zb2?9L1PrfOHhTz-#AXl1?AYm-RoBKVeW-Yl;dcH`=4hT-;HPd2kJBVpHV$W+KOVOt zEigrQI^FkmVs0E3*%xgWfPirvZGJlC#{A(V|48M1uXs~=vc0sRUd?keApf~-$}?vU z?`HOCQ-~SHYMDE_t-C)~$7D}&%b(rJ9Z#JIICFBpd_QEK&^scs+ldp{x3M96!VGZy z5I4_G%X|_a5xh8U10Qhso{9Yloe$so?B{Ch;wF!u5xY1rraCN;cS3&-|4Liu%Df{d zDv5ASrPaX1WF_1@2_t`gXj!QbYBSHD^22QUR3563_Tg~;c5O3G{XM|M zjhgay4NjaaOr0quh(A=;%q~}mTPq2d1BrQ*`cAy0Cy^eSJ#AJd?#2gQX`DF!{cn6D zWIY3xui$EMHnWV8`OhDJQd__-+LQ5a>haq5O`defBijk|fEt*0CP(5W5ogdQLpEec zxs8{+It;0OFF=IEBsnnY@ro$V(N^`e)k)w)si(<(NuCLI7&U!F$I}_j&tRHZOJW`% z8guGkjzAyq$+RB_a*H`+32^NIpqgp`C<7zmq{X3^;gN2dDO_aoRh_T)P4zq?)#)?| z1sTj{iYA$)Z}CJq<{(udlAYS-NTfLusWcru3rnU$&uq>%OFH%dV9nrdJroe8bk@hy z)R`$jFym%eg2)ggq~Y@oxMNXihQapbv>KZL_%|IyK4(a527fj?614`aV{siSmB4Wi zIZ~TLzdUJuK|M=DEu~~OPcY;WST%k&F|l}W@x~qVDKMlD7ehg_7Gddp@iI)Wz)uqa zrSxpR=@44*NmAbikJn1Zt=we-dJWWf2m)ZsI^0K{)k%HfvC7c_xRQn{E&KV!h50bw_WzAcM0rjy{Xx`c)Kut)LS(yehf=2HKA~$FGVt*q_*^lj^C~jE0Mc^VQ^Aru6c*$`F{Oabufq!v#{`i9<+$Z1CA{#vPYrDNqGh;;AgB-=dTH4V>^{l8%n%xXh#W%Q!|6 zoG{$+`X!omMc%E!JI^a>(!~*o~Q@*~Zh$>NLS=+5GcW$MRS zJg;dXRvA+WHf{Cs#|Xri6el3df8_%3a{B9}W8aNmzQu^y9>j%uHtk?IX5D z;~q>ij7(5G$fV&nlq&|$NVjlGDwE`w$1_*sxK7l6W}72Y-& zqe^wO$I~GJNBzMwEwraM*qcES0_Ha$*!f~8yE&POZxy28bLQiCQMx7hu%Z*Ii$XGT zQYPjg5g65(#E`F2Q@~M6ocF!D(m;l*fQ2Wne;j3`@}d#iFj;&uJ}pcq%+z2RyI=>#`CJ58#>nWv9^Q#lfgUn^Jeos zxv$k(V57N&WpCILzJgcl1!|^eQaOg`5X8MariXk>C-if(t0YoS>Yo}TElch#nJ|t? zoiXB=&M(o6sq$LIlR@}x%{A!yf()Q6GEowYWRj|`IF_FlO{R!+N-`ftZ`SQvXP!3{ zz>lcjH>iI!EYtK}?~wWx2cM9BuhRo>m^7((v#EGP?Sn85eJel38cU;b(f|i-F&X2D zHAfk4MJpYoI(bdxt9?GXZphN;c56Y+ae0V4Zp7?xIZXJ*)R3P$-~Dk5pv?a5q*qyh zx4)OAFFGdh=K^p0#ZRL+93*PdGh_%CvdqL|tjgtjXC7Pgy~7~uOoIAK&B*eb)GV7x z^h9DvB43mE>SmhG#V=QiH*6meoVh0qoeo3O70%+dOsEsO3>6`(kRtf^?5HVcFo#-oe8wbfOZf%`?zX8QX!Eoe$0)p27&b4HS zMuIe3w2V#Aw<{Pb-N!%PFjzQSly99?b3R<#15nG;ILm|%IR&y){5jcy&3Pot)sJX7 zt0;UxuvZp-R#yIe{`kY{u~3o9JRK!uI!6x?FthaMh^ViJr@XCItmx3B-im?;L9XuhC|wUg2MGqK2R-7Lqw4y9D)aVvKmGwj)F6Uea{zzsuE`#wf zPd&v%#P0L?o_-&pBu{@2z<+q^Hl2WDLmvVrlYTxk{n*bfM9%pEXtYdZ_8CU<`3i$M zqV39<(bi}`p>ll_D=`e7&)Q^L$rl)|9RkbV4jw`Tky_7ZRG%6NHUeH8Z7QHCa{^|< zHl0`IrvYwOXCTD6mK9(&KRAfG^qE~ZVJs8+glA?g_q611M@P? zCzpd9pU=Bys+;qgAreUo!!mq8;ID1HFu0F2i8nO3c?=LbKMWlYdk??-1TW00l%^BS zVvu6_HrRD6|A7eyUKpT;&X3g@Mm`Wi;dc=j;X`22<{Z4-Ndo#BSUz48q6Z-E`Oyp0 zP$&_=l7%%!!{K|#ia8ZMnCy%IT$-Hk;BcyF`>)-1M*~zg!uR;Ay7#u2-0O0DMsonL zoW++&kzno8-wZK=*F$CyWR604Tn_JKS8CF#S|xG2%x{8iPVz@L^NUxiXY|k+*Tu`7 zf;P3VX60K_eOx{+atH8=P`RC(x!IkZHpHC-<&>Si&B~|GR#~2jd$;6A+{81blah@W zOs)W8D<$HO{X1Pt^4rVuYdZhg1%j&|DS6ZE4)vXDtL)3-w{>>8FvyXpsrC&4+S=fVUx&Kd;F?AK*`APc$3YPt&xlogu7CxbcUzxO;LPD7Xn)zUyQ|7(QN~55y>seksC3RE6VYOer{`!vkjfL%Tx@7J*f| z?gjtf-<;qQV=3uJz13;|PO)Z_B{Z7I*nfkn+k$KqPKy>qc9%>voc#5#A4{rZ6;C zc?EEytpczfa*v=wjQt4hobvBtY6*g@0T~Op4=~Ho$#;c)tst>!Kg>!LjQ2{82FHsO zUfHPXcj}$QIp~rAnOLOAE6DkISC!j}^G0MEGZi-18lGnjOOSUegDu7#;_NCen;+*2 zknweZjUd|y@lj=RzE|s>Qll@r(!bqwd5-%?X6m5w*R-MRQbjT_7t)*=h7CxJw9D^E z3S!;>G{8Xz(($xuRdES?g!lCxYisZzmynl?j9M)}8IR1luwrN_?m3%%es=QCGzm(W zc&PH5BQi61z%JfyQ$VqC(R4DN)9I|80{6%RCvvW7ai8@ah$%9`kWe!QjgTomE&T{2 zyAIE>RQZlFaOsF<)%R6doxn2I?WOzNI|%nP*Jp`3x>5h6Cm>33@KId=;DIw-L% z_8l8&(n(%{K4-padaq&H!1ny8t<@((FyObe1GX{mJOS%P!^|D#z+&dt{n*iF2^u#P zOiBzLrVLi{!g8nF++)<`Ik?DGj|pF=K-j%j=|nVZ*qNk^sn`NyWc}e`7n_dS zH*)YI@#EnjB0cJtZma$0q(XrZeh=-5KTNO%>K1wrSq~MWkKZ(JjbjCfJ{r^nJaho5 zY(f9b+#g5)&@?d7+O$h{^%#14N>?i;SK7r5f)i+0eWZ<Y3Z@B;fo1Y0Y2llcvR`F*v{1WxG3brBAsA=r@L`i+GY&h(_$k7*!NYh zywox{QP3&)?Up7iS*<1W<%l!JDHDK^8{M&-h?BqIW&w;8Mi?s2LeDF!D1iY*vvocp zCes+W99(U83SwNI?=Rrjg-Fl08PLKQ|2#j=N1*k8V!k>>Wray)$q&7qR&&6GiOauU*3mfY-rOCFoY{(nGd3%hhljC~#- z*ji2*C%y#@39Ry-SVU`{K3&1t7tugfSFhu&!MR>Afc-88Ttl3&$_-c5cW(5~wjW&h zSR1y@j&>E0IiG%5ZoBjX&gC_jFvfYz8NZ{O4`%4n2qq2FSupzz+0lyOjSmf>kN?cDjMqA!j#2v=1cQ-_ADi2+7a zndUH^?l(tkA|FJn^%=@<$FZ&-&=jKW?!_vCEXLM(>H$_wWAg;6#QC}}rfGe!u4d4{ zpv9+v-Q8qui-#-5yuxiE#(QYpG&6h^Wj^i@tF!^=UV&VK2v%Xv&_cVF7g^&qt9gJG ze)@zC{fjYvyj>u?93QKv--W3`d&4e^0T{;?_!;!)xAKH22?#ys3NZ}V$wP!_0i>Ba zILG^hO5es?I8bN(jU2S}VaD6xG!yF8&%!)KmppxH9EPcmxErXlNsIRyQ~Q74BYh8B zg*XN&Bo25Yz#76EARP(yC2cNGpPkUnAX}k)9U~jZ)JO6)+D7w{lW(gUsr6I7Kk#op z{pM>>-eVnx49zGg(=N-SUubd^r}#0hFZ$;nKYh0T{14TSrV(h(z6L~G-CV!~&pej& zeW+3G>gq_fz=v6JU;z%LDxd$IQ}(03-IBik`N!2M!^MOv6u++aZ~WYQ?=jgD(<|jM zbV^doXp<@7L-~Q;9pu~TH(F8Aa-hQ>?woPLEg0Uf@h%dDfd&eBkX3G(8<T~We z(wIRT$COUmW1bbfdBXJxj@F)o7t(D^YI}{W4qwzrR!{qnzcx6I%{@k$t%EOi_yybG zTY5!Vj@wq+2QGL4CXMSNjM8M@pGw>-Fj+mnT-zpm8=lYAbO+vPXyr7m$`($trNC9p z7?`1VnCBQRy~(M~g(?g)pwC5J569s3x3lKyxB0nRv0yJM2sT!{w2O8@#my~wC z-YqYFIVT%7qLkXNDrytgUCwNcWUPJu0|5ZA`?A7YSuI$Vt2#}{w&$?W zOu;@8_cgLUq)qbax3b=s?d2Tyhd|L-J^lTC-^VZKaXth#^wSUbyxWt_BPzXW)3aHj zZXo((14#Znj~QS>kN{Bd-}qO0`f9mcIn>!lGz#)ctN?H-TWwHM#ExZ4d z2fr5flsd(x&5`@4D@Q&}WEa_<4#211-0#Uy#c=~xV}Ued?6%72xgncm*A-yI0s&QB z(^1~bwhh9S-nk;*jcD*)J8fkn7?mtp)DrMCi@N&jicWUs82|bFN9J zOLE4V{D8TGQ%0zj0`OcImx}^!cEPg^xhvl{cwVLRF2AbZSLyQr_ttSzeYu*yzH4|- zi`Q4P<>kJ4spib^T_!K}`Le37uR3mb8Y2L1B&Z;-;2?5ZjsmG2^Mk_xwj;OAj9Wiq!(-daBA=>|WR3I$#LrX@J`7%p%8 zl%_eOP2d|?94=oH8qG-;euh|M%lkr=GsaKxrR9qoOPp3DBU>CLV~F7FBQpjT14wR3 zqu{diNf2#qx3f8VMeArbjP$~a>Vw+vOC*ylB4}5&@-+Ks=)xan>>FsvXtm|6F z83s`xeK=!focOjt!FY_F#E#haD#fp7Kvsr>6b&Zsg1a{5G0qw5a`?``ZDv|3Senq) zj~Sk0rHH^{ENJ*%^_857YvYBmJYz=V=A6U@-`+0;hN{jopQt_PdpHx8cwtBxcoy-{ ztGp9$mHex=TPUvHtUElCzBS~(2JU{>)wVH$Kp!7}Bj39k4S9iNe_}-L<7Jx05K+2s zjmaNIyJLW2@MbQh2Emoow7{Yx6KMQ^`R{o!J-3_-{*1^qAp&c(LF({9jTE^F#{`qV0n4?Vo{@D`^}nbfia?N52vu8Kf#^#dnu>~n@7szj28kpd zt@3(w6<=?R6hPmtUKQ1)Ycja^fdqng1I-$5pDFXg&AixcuX_| z>)gw~IT`7Cou&L7sDPEh4j~2G;r*OcUv(RCtn!PI9UAT>!24>>yqm^16Dd((I~sX{ zEXf!zv&SOcrX_pC1(uo;4i4$Z46?v9GKl5F8COBS+VA5_9T*AO1EYbxX+YZ zO@Rl&LU~-%ktD~fwiwnII-FJ(d_q8+B2&bDK6{f^;50XE%le+N~<8hxiI7M8>v#O6dGL5xl))-$nX+i?>hpw!@)=pjIHef^6XS=?Bmx*dI)HlN_YI zZa97gQlu|0G1Tn_KcSEJ7qcPjs%FM$xJ$cU{-5q5Yxn@ zuK@AwBeG6P==g~E07Ek=g-YF zNfjw$wk;P88>JNOQD=l7T|H$Rd>1~{U>uc6o4!AKR!r}D?>Sg#H%xu_ceO3!Jis9a z9zOwmubuFn9X`0=^V7f>EdIEL0w!wa$-ko`ni5Kbw!9R%m%(~x+7F=fW18ZY$tuW> zf;y9JGk%LIx@{`>6JYb{b2$%ok5^`3LZi~f@{I`Ez=`y`7wkZ zQj%T)L3r>j@HBNZ@`Hc=%q`R;L#WXLIA#o0RFbN5ujXS8UlU^>tC@`Bx!PEk#!i|L z6O#qH=B3eIQs5SKD=r5X%q$PPzwEJz(bh`Cb*uj7{Yz3`1S}yGg)6cbu^8>5*KK=_al{t43|}g8e|N%h&@u;(atmY(&bG|L(`rS#sXda z92fB}o~OKW6xrY{bEt(+NqtFbyP9b5;;{kSfh?Fffs50S9{i{+ZWTyJCDmqa*p|$w z5A>0v2Nno(QZ0I%^u%q7Yl@Ey%hOORzHi&oilQ-G6lJ?ZV%ydZG(qx?=85vR%$EIW zJ7aSAa_q_y-r6-vxwTkrG4=$J&(zwO44Bl!cypRE)Vlq-()V#2qqna+f0jDZ z#KRBj>Sf;ZCgPz=e#o*N?SK7x|89lHdF7=D6sHVmPVJdCq~QjUAwO};VETFn5IOeq z6aQ+OY~@~;NC)ale(4vWPxd4R$`mfFlASSrguCI0dabaFHCqb6YZ<%y=wM!$h*C7a z1KscYdYgU}H-hU28dc6NGpSC`#)cY~t*bf~oY3J1crB+Nky*nzX*Ri%vn9oynRDTL z)uQzM=+3^_;;EHnV~sz*uhUfDg2jo^E`UYNGPmh2A3JAwj@@Mk2Fe`haIGmdZim}R z+(T}_uK-Fmlru>|rR}mx@%6cy|K-ZEzj|4o7O1{b)DP)LyKKd;oVvvA^n~J+t!&{> zC5(TO7D~o+jd1`~nfjpEiUkXxFMjy(eL6R=o?;PWgCCaVC<^eWPp31a=LI(gg7Dcy zV-b$Pra{I!EpZ-C1gLN1KOC1JZ14k!y2Bu9{XDCmJ_QGxtQwBWNddut2;#Imreie8 z`#Py>t27zV(3#L{9JSeCG3ErWx&aBMG>kOgV`q?n4R~)i&?3N?I9?IC+HaGRQSS}Xw3p&K-Pk1?Y|3?Y0#soMGC;>L-+4eT2OwhH@pynsMq{vaXIA8zOlDw2X29Z~ zmbXvOR8!JgvrW#sz5vx*hVu^a(JJiXeVti`fl0dXbsYZ+LPvP&Eo{SU#>Hhi!$U#r9t+?= zPEFz^!6?@r*r30KW#lrH{58+MMjNPQ&54r{K0hPGwT zA5}`3C`gySj2%efK%dr?P;EIF77Ftl76uQu4Gt#UIkRGpix9FtftiT_T3R^o+*dS8 zJd-)fc~hVFj7zy}QAhpd1P@@{b>2BH{Ot5&ibz&O)EvQ9v>c3+a^hj%7k0YG+G=l) zeRo2K#r#4t+8H26S3|QQC4CV$cvT{MLE1x+0>WBX=az%+`PWmrVceB%m6hM-YqqTH zfIs5!_yeH(eW5SSZnsEW-&1ziJVK+3$4QkP+hhx{IXSx$IlGuj6yU;eJUu9%fz;?h z!HT%WcQhEdOu$RUI7BE=T;bu93kDggD-DgYI<~y@)lLXtTug~(kcy(Rl7~mhs=x6w zV{{ALp4D#7rE$_NhQEtU#fDXNTcty0;AV=hzG8wXHmOMC=n(o@t8WwL1?Q*dp327w zNDXE>dpFPmPt^gWMU)TRRPL0C>q;uvxYVvoy|u#BN@!={r;ob2FhIS3D`W6his%V_ zJSI#Ra62vVjh;+mM!jaS&uLHicB3}b8CS(Knb382IB$(+e_ms%i6zV+; zoiBx&ciU?(ioMbMOhR|vd}~q@D+FE;6V;en5E&y$#lWs2JwNaY-s$?d#wk-*0>^s0 z3-IlNJIe_Hkj~{>8W78RzKbHuPjQE{j{3rzkff2?y2UL!Z9Uw^o8#`>Yd9X~unqQW z!1cYp{k9fb#z2L^PjOX?+pU4Q>;7PbS4&|&CBj>|Q1iZ&F$&3cO&1VOQl)=LR*#V$ zvZkUVNN$sPTh1;(x97iMAvTj+HU4r1Z49{fLXM2PZG`ux2ijwP{KLQhXMg+e{>dNw z)qnYmzw?v-`tN@6-QWAuU;XtT|MB1a;=BLwPyX5e{HMSA+kf(he@Gh8zROA-(USUO zhJyg%W@$#7?FnR@+4=MDm$bby-KIRaud28awX|Y3=?>4!zzt37Bc5%B_%6k+4601? zTd0#`eDU4C@#Ek6-Jkr{e^0gf@h|_wC z$Tj}t5B}*-{^(bK{P#Zl@h|)i)#Xor>$_ik{MUY-mVcK*S3iILyD0cXRxWjhey)Dr zpbbs*h$0r6ZYIapk%0L@^}8x7axE8r+??yzWDgNUwoGu{tG|;z5nq~|N5th?M6hr zUUp4a(6&vLi1$ZURi2Wc7X48%&$KKej zGOZ%x$N%h)Xav9b_;3E?Z~Y3F@_U$8G@CyDZ|Przu~(0k4y|F|btsF56fIrH#<$TZ z(#@IM7tT0olXMcZN#)l0gk0I~3yv^*{=vVgF7m0HU{}c1bz_{W#TV*N;k2Io-hWYK zAEoR5FO35xsJIfhb=9ssWhnxvNMBg`setlgGdAmAFguqHFbiO==n5eW}Cg zkL>e5rj15pmzn-PnUqdk-lMmktM9Ct9Gpc{20S$MV~MzgLxsDiq&hx*VjM}u%4iSP zFLlXg1pQv*PoJ#!_!;H<2JZbYq(W!qvD)UUoA-6v(PBaw^WXIvMhZB)($#fhoi8po zH3u8q?d>tWJY_9vkg>A#qwnJtt>lU>>oD*6=PR+u3Lrhbc>4WP3J=9v8Uq;q9Dg#X ztHBQ-X|e}xH`#ta`u=_#a2o6OG1fo-V|XdyU_X-a^!XomxcQcu*2)ArW;_K*DNKxI zGJPRbV|Z9nv#G~u@M(fv6+5jH4d5CVrzCrsZZSP)GWE&)X1Lkqs6AU|%8a5#jF|fu z3SErXq$f0ns{N^sSKz=;umlVTINU$~B;8*%WQ*%VJU}U?r00|C!yqm)4&S3#_qte` z#M%DoGrhUQtEbO?CZ&4MPtHY=%h~z#=`q$5TE(=u7L}#-NGh@VZITX!`g6HcF;|@+ z3!Bb6+5urXQ|*eBl*Mv~sI3}T_|zI&;-m{)o@;5KTT%2=o-2{Vu1uulZn|XG80vk5 z)<*O6$u^U{7QIG0Q+ELr5^Y{=)7RM}Gi>FwDH|zo!ew=VyON%fVzaNvprCyYI5G3Y z`Yf@=frgJye^ldPY+updoYmOz!AEywei^XK&>5fQ)W^7;tm!ZHHE!;XDejx2A3DpH|eoXQG;Mv1E$nM z947o>v-LJL_9-5jifm0*S3!MKcTJN5)@i#nP$tdP@kiAFxR70CTqc%CvuXF-D4ky{ zsUb9QR3xL`f!gLeB`yLpzS!T!dEOnK>-T7Y2RXuFiUw&P_~b=s7-{PKZ?R z6{$xAbe0^HgdL%jq`>`yUXS;tNv1_A@yjTwo;fuEI7-=cYL^);*7&Sny7b7KvMl&R zx8Ds*o9vZhUrC%*te?r2X?7_su36sYui~IFTidktoMG>+X)9m>HPxqU#s<;yrm09f zAE}Dm;&hLj0?3VVUn>8lS~k>Un2!5wzcUbZj$R+WxsgcxJYb1EW;9pZ&%bXx0(J$& z$M8p(HHC?K_B30KWux?IhZs$UYXLY_(vE-^1uVimr}cs2T#1ehewuqW`-UKH_gG=M z8M5*(DVfq3RyAGncvn(C!h2h1A6-NR(;o&*0^SCws&xwp1U)UtEWPS7;I?+ z*&5S4I(IKD{*D!E_B%h2Nk?k`DvRNz&g+NftWkFzZ4VVx<$XmJpp5~FSs8Og5KZ;u z(pIM|X3!Gs(1+?$qCujhR&dGK>etC739S&Fp+le0o2rh_IIwA-#qg!sBm10`ud2&8ep(!( z168N<5D9tbK*niVOmG=`aBgJRT=mEwdbFcEiWkDQw1KSCWCqZ{TT+S!iUSlbP4L>^ z&sjP)_LrIMyK zB`US-g{+Zb)Zz4zx1a9sac2} zE~Na6pIg#o%Lrd_l+SRhn0aa=;D${?a}D(5JXaV`gkLicM0-@DYn)UgDyVc~JC;CO$s4Xyi_qjrvM3jz(65%sYbyXda-g4Q6oXNCR27VJy z^P-WcnO&A{+87WeL#BXHpDf#%cZCgP!a{ETRXIbwyju>!vLhq{6X;+iTASQuQp_Fe@5RnrmfS3-@WpQ?hCsgs_cOK6

    ;zJcb4 z${rP`_mk{*f9Bm5EGgyeG79uG$22fI>$;-uyb^KMEU-HILw?KD9Lpe!dWT>RChDCx zr-(lqa0Hcy%vgA+Ikw?b88S`zQoE`EOsa3;PWO^5#~fuvn&TJ&Y-z*_rNFj%q?Nvh zR=DU?<>NAGg{3*J5gO{PfaVE}4t&FCJLAm>n+pOK;6DIIK)Am(2pyg`RCmH(#@8Ir zh>Uer6>tZmEsA<{>`l>uaJDlf`qF^(*1aiJVsW zmYx3&O?IH+Td^0A{6rlGUq&riZSY#PZh>`0rzI@|G6`vC0UF*1y&q7rDpV@aEj%zM zX|hVRWYZQZx5=kBO}>_N-DJZ~M)=-lUT+LV(jK*B&v0G%!D9k!TF2YGTE)4RWJe_n z6wP!HVlF;?nm>I?-+tIVeY#4yz)mHi>PD1^nc}fsHSw{^YD)2VkQ6it9hBf1RPJWC z=5O^kn-08~bT9?5D42;4>ndxt}4gVh$w6HNyZ0`NTD?7c=$8(CHB2hZ>#P z7ij;U*Ty$pn@;wDGPjp8b-${y-g4byzae{34ci0JYo9;t^8<0WszI5AD-!lIIiZR$ z4VN9_hN0$}0Y-1-~Zy5HXJ8flt? zFdyCT1)07dXiRHzoV?m`MS9e81;0)bT#prwX-&K+vRr6Vqky3$9NEls?SOFl8Y66T zC4xn3Y%78z<@hohT(^h&gpsAVF|JJfSz{d62Ybf&1nJyw%dA`bfp#6s4gq&DK4Mz) znp{oVehmimssxc20o`I0G%UeYx1nm#UIMiBNlm8H!#5-NmilA#o?aa-3If*W62PY638RiV=srhc&W70QCp@syNM(M%n;0e28c%rBfaK#)ec%Jd#0jyMcdO+3FCS7zKsY5EB+48jb%(x#7F4?X|gO*_5K1bVi-AZRw zyWHYvo%Av78cL$=^>Hg}(tFZ|x%%!l&~^-_hOZf4)3%m@Jd1|f_B6SR6;O)b(`;01 zn-zO_q9EjkI%UJ@dK}e$SZs6Xhfv$6`xIIrUo0+`)6fZ?_82FCJEiGFI!l{gFQ`Sx ziE@~v^4HJ->-l_}Cbk`pt6}#xeM{!q1)v2LHV(8b&NrkulbKr0bDznI$B z{=2XJ%$!SmpEi5y(%Ad-DR)ZH7R*SR+_wh82>2SGpLT#e`lDZDM>dXPz;h(cmZ#53 z{tj@a=iZ+)@BkJI`J|hv!tGh%auBG(1!{a%H9O@>IQbh6oRh!b*IWIOrxUxD-Y%6a zi@sEMD7AOu>m5i(Ikxo{aPADHTU2nXMxj@Y#GM6xAjjzJCf)FH9@nvs!ANe)wM+u@;SogK60=?B%=v1`2d#oHKoErSU8Lb$3q zw4YANF$c{^+7R;H(+}wTNpJMuP1+P`dDnm;kE1A_K0Q{{U(t|9eF0Dl$>Bi5NV<(a zv?9FKFi(cb^8mse=UX78SB>Fajps8xkf+&4PybU2F7Q4Vq6wO;+*Qr2uS4zMqa9iz z#stp0$4yZCbcm^zyyL@qGpcxW`K8-HpIizCu?9#2s?ndx6=?Z2CWa&^494g zZuksYokv_vs7($M;H{QSg>ALng3;>gcZFaMm$!0R4VC2Sll&NyzVl(1(GJ%DOp-+P zzaBGOFu_xCXKb>^Z1_Qfu=)1*mfUD~KvbUAi&TM0%al?vt5i*9`JLal6`izsH32B+ zD;P@k^p7i5*FG)dt#7L{omY3HHBWy4#bN)L=4+^zYr#4mORHnr!t^3pS0|VR11n@d zFnvNClUr(Era$7s8DuAMHcJ5zDIh-ZJ)yFg<;TD9_2;ff?p=$BHAPzWD$dE4shHDG z?nD>`)-gQC_w3m%h%%ul(}Yxktef^t87^7E=H#Ly?6ZxLMaPWkq)^F7>|i(Y!(ei|p{^$G*3l8B2hVgpcXFelZY1FG zwlI}*okK`)D`y9uKfT3>`aE-sQsqELn6B??;b@l+mAiHSgR5e|!}wl6`hRqFr9jyh z*Db0!q>s>0ky<;uhluXCh_8vL??Q8N_h1KOpCgiHU7?23ah9|xG)>w_Eqi%MaI1FQ z4?c}iKw~t$S5UWdl;_5MfJ`ITaA;(m`DH@zT>tf#SB~MhVPI=-fJh8{Y!%I&7Y9r4 zfrf?Fqd3^}Z#H=`|6hB^!n~g26c=U{DQ#p6}TmQU>_YL8(Do>wX{i zd;<6~(wT}6OPmglW6CZTo=N6Mz2fy*9B_#D&KE%-Qa33=gA20l0Lwt85Rk!dRtn=& z(ssn?zVIH&Ir{CuI1?~g&VsWgUM4xm$!5T0!!LX6s)#X3fxXp{at1IQT{iBEJh6f^ zqiP!cf?LwI&3afiyd2el84>du08?aF$fl*fxEhe4G;4m&h-J3Bae+!m2bA7s@lih28=1Xu%BJxB*9!~ zTnpN+E1{Fa08}L|2f?ERC^z<3>U{tYw7It+)Oo36$+Q90;W6djl19^+fU@GY=y=l7 zK3x~m%`Odl(L6srBVUg}9LuZZ0Z|s%g{f7H7K9_Nl zr@$;$jd2w)aaF5{)Z3D=&O{Xf2JzrHjPJ;3dQb(Gr3lhL}j)Nl6cSDl#u z=hu~!hEkhmt~gW2x?kn>Ji+t8A^F?1R-wZx==z9GPqg5QzGjImi)VVEFTK|Oub+FJiM^^;t23Sh zu-w~gE1No6Yi-#{57^|4OIEDn)hUIMin}xVl`L57tGIc-vST@k3m0?+NeTeB-jKsp zAN`0ZF4-0tAXrfT1X}+*Nwy|+xhc-=&X|~z{99l^b)-EUAS}3G?M?8&GH`WD3FHz| zPPc>%-|P|tEoGTZ4vBOvsC5eqct}O(aJ&P6#lAz-W?Knf{H(a0_}sHM=sh`jvqGqy zJm}m@mGBh@*!}Lx`mboX1${{Fq7Aj{uoV{>{Z?ps@?t;CF=qg!;ho9WdLb}5e76@P zR;eG3g8aeI8brxA-XKvKaCoE*49kXx3Oqa<`hQQAquxoKz8v)m984>WZz5}1PUJ4i ziO3R!Zw@?RT=-Fd;mDh`huz;NW_B(dn9$RjBMNT)c;#v77YsIL`0z>KHr7;Ye9 z0?H>cs9JEeHEjREhMTH~TQOA_Ft`mk*F_K&J^%%aQqhQnkqNIe=^)Ag#x_s5;;6_F z{<)OcB@qF58rz)&f^a%Z=-(_C?GGMMzUetO{a{Nv&~!=dF(~FkguVhbnr&G$V6GBp zQy-1VY$OXFfPodcwnINEdNK!IMyfYRFv^R#W=0aj%SL^!b^`C<^R;Y8+Ov*ttE^wk0MO7}wH^plq3}N~O+*k2>-6dT<6G1iw`1H;?o?usq!{b#BfU+iK z%Q=SAvtUi;G2;BE*&ASC>in(_;{)%-4FiMIK?@TIHYFq0UEK_mxvr z&X@*t+GImYDzZ9OHQO^feE8y}jO+H(4=}~y-bnf=2-2xDj?_ZhLf4wlyvZP_#vz+8 zqyceYgNuCNEg)d;vCERPzN=bhc~~*=277*kT3Ud|nQ@DZkz+jTmVp{rF*+DjK$-H3 z2*5n@SOd0romU9R+QyedHt$sqli;fevRvx|UZ44gofeVcbBSn-Zi~Q^a+WKp61+OY zV%Pau0#+RtM(a*kSgFGf@%Gk8e7jtZgzC|0AH&T)mu!q>2c?L^8!D~s;fz6tZZKHn z8kVAf)H0Vk<3h_u&;VhVFSnb#D-JaEVGYuJBNc9n6uf0pQzl_2i-m!yyH;OSXM^j; zecPj3?}0>-$`%qZWN6B1CRWR1?S*C*f+7Dy?mEOC+QP}NpBE-LG;*@+`3qJ~bm8cfu_s6ew5FrtEd znQ`r&>+1>;U{62z=f6P{xcf+<4WlSLpTj}_qj`5QA~=7~cOR(Eh_ADymC3MdoFHvv zgY7}ga?))u1rVv)F=`uo=tIt$(&P7-blI*XO`Q~W?cXP@lD3Gwfk6@WkRAmSj6iS) z)8N|MbPd8uzFnpWbs1mKtao1Y-~_ZuIsgGnC6=pA6NS5@Qg|+Hf}YWbpOK=J)0kto zVfaH%<2yj=q~h1Xa@GAR9o)j;sBZ zul0bd>S!AH0jC|R4ki6B;~F5NLHo;0-71$sZ^Q@SE%o>#RTPZ$z0bLzXPuaOK&}W5 z`MKZ#Bbtsmqe$u1F4y1kWh6&uB0{pRE^AsP`}0(S>d%JpezUTbxIuowqWRc0Z>i%1 z%`QpV$vvg6t(fx^n=u$O;aPL&R(X~fyF@=WDQf$MenDOdxuuni_d`rg#$;FBh68e4 z6%z>3M_lsO@RfL@moc|NtSdcbXS5y=c`iqF|L9D*jf<7)2wJ-$W!vF^=?aO%ULC@%E*`iI3M%L##^6_*@odZu->VGjb8z03~ri6e|pdt_?* zJWTTdT!J*&pNHBnIu9;GSPD%jb-SEQoUYQ$KFM&vENzc68<@GsypXy0E^Nkt2FSO2v=YhofK|h`7WJ=A=yP<7*Gl;@FF|(S=tfS#Camlv)RxF z{rQ6#!lrr%g21stCC(#@6Ys?$F7$hG0mO00DOieV5A-aq7pTig5FOWK00)s7_yzze zse}MvSdimTwL%2kIKFGzki(a31zS-usq~-$@E$BbAW=c+p-z?;xKY4$A_LHjY#8aG z>04AMTV#RkgJcQAo=_gren$!7P=$->ZmTKmaT`%H% z(}g(p2|3Z;up@gogf;8g{@C@dWm{&T!Sx1F@Cu;m;6|{BVN!<=4vipc zMSYDNv#$}D95~XHRyMjh;`!q^BnAXVR3FduLd#MEhE*2wxKni;)h-{stl-I2HwQN6 zPXzDN2i&S*Ui*$kUvoFpLFL$1-_5SycQe)I(5N|xC4}WVS^c&{Cy1KLUJyohpr#;I zRZT%UE#R;xF%j(b<*JqHN4y+pxT4S&8B{XvtgyNq6t84>0c6m$ldA#vhNEvyo21~j z)kU>zPxY-$%gqTRS@6^vUlwU#TeKQ#=*<1T;d7ju8QT2@UkDVU|N$8wD&~3#4S`NQ2jz3q_Nl7B%%Z%e`r@E zb4Dg#L9a4R%d!mr{9GWFjC}Zu|p&Ph;C--}f z=X)e&g%JD6Zb&`w?fjU?p=Ud4om;e<$^?WTWuzvuL)uf-?DiFIkW+*OdA!gAm)EDy%gVPMleZmO z4<0QmK7r6A)3j9&VO2GGl}?)GawnMq1VvOUEC|=Py+{pP6!>nWHhPlet6_6cp)#h! zoXoAEaSm^WxN)XK(22NlxCm8^vt284eQ6x6G*@k_9(t)=O^-yEXQb=#jI;ykB@6u} zyM{xXp&QDPNRq<-NTl|)h|x$8+osxPu@o9uUS$~Qem4whhp>2Jd!BFF{c3lqK1VVA z`fbDF6W`~R=Bi`I^ljP$WZR%UUZxVA{1|w(ZP4~}ByA#(slUnOaJhSE-r>}tPNH>2 zr#!CZW$bAb>E} zQNA5tP;AjzC0yBcvT5tmi+C2-b(fqGZ?Da~qzY8PMH9W1Hw5B2L~JuQIm@YC{`k#>MK#Q9iCK&1p%rI3hS zT=S~V3h*uRL*x5{!^eK|X-qKfK`Ha9Q7;zvn9Ac38lkV`|J7Gl;!p8e?vDyYdA>q8 zym(6n5O`njqr~#br{VX-TnJw=7fAQi!|UN(?*p_#ns$RbO*kE{U81BS(aUo`^~uqc#^A97>xLR z;6#zSNn&X>51;!V=d+m~=dNbfE#W=-IY?3&MJ=9wlsL4xV1T?IYQQV1-nk`K#VvlI zA38qF;l{AbYG8-=|6L}zs{f0_Vp-P(%LM|DNU1mKU-|NC+!t%(mN@#n!>#c9@Fk;# zEdQ!+e>yd0m@p|ImVfx0S8h(gM9?iezPY3svyTL=D*VYFmL+W$O+9`de!Sidm&5#W zNkyFFxq~`CE@)Pzn5q58@wXc@^;XmLH%EBbfdD4X>bII}U-um%7Sp;_tvdkC>NNS( z|9rKJ-0sU;CBz+jr;_{**CmvA@=1QYTH1?_`wzdS?$mpSoH@BvOF9AGbP&&S ze7=26DvKfT0Y1!s0cTtCPQEqOw-&CE`L-uDLWlMfAGJh{-Xg(C(dDhKDa{?`oo%}CzVI!2j9|Mgb?pZuY&13 zq=7;^$v|~Q1`8QAZ@AMZJ$x(!gou+YWYS9+l*3SjS2dD zaeG=h+n!apVcHhSDJ zUE-y4JzxMWQ^H7>#Vr2bEf}s_Wu-bXg^eDrBc`PE} z7raI_L|8odIh%c^?lsiL}K^lB~{sIJ5czZGoZsiq(5l$hvnS5#80;R{2^*yTCRtFYrYtHIdX&%2opb z4h)?@S+SST;VyfH0$oh$VvYg7)L;k)Ivem2bP@FK8O=ML;9mto^P zntLa(?<9V3;S^CZ)x9`_TKF!FXF}wA2?dgWNx72$MW*(@iNF8U(;rS=@C~E$p)~q@ zaQipJ?O01X_>XZ!5uOj`mE$`$I{>bxr7`I`;`t8OKK|^lZHLTmZL~g3UXHhCCF?3_ zfTRFqa*Q_8at0z)7xPzAsfRoL7{q4*lw+f{ePGz^Ii52o z75pl(uRIOH@li6VYW41?fT3YSVeq~y!@zGIfo3>azo0yb(`c&z#dL#?~ zt-e()fe&U2(s6b|m7kcHv=RQ_a+|{|{)L>r`bi>S_?QCHEnl+qU4|tObf_0Z1?s0$ zyaTHMH7$b!52Ep2&K##foxe#E0ewo>lrAzF&E3IJWO1h684`-)D0S<*V-T#fL!Q09NV^%y0iK zPMpX!*ybB^xqYsXLl0p)aURC}qC8>fAueN<$LsS*&?rsLvG*xdbqM6(>!$mqt-ZPK2lv&f}TGD4A&ZK2@14gRNHSY#Jih@g2wTt$7}6 z$RqIYvz~B~E3hM#%NlaoLoV+|SD>&kvOSf}9NvumTBl%UO-bL znB}rT&V7bks`MaZmv9abTmeo<{T|M9So0i0u+x`=n|s@XACw=>v)O$%OKwreQSR54 zZIkLN*_=Yo2Xf_%gDqr%%^0gYC(dWJfNj zO6_^BapCjzufc3%Z`7i9EuS`+z?o;6uX^7&lP$F!C%Ng70V8?FJ=U6aL!6Vnc7f#; zs3D>$ZmLXy_MeP_0Fywq+tC2M>p!XXHbQaR7L-yg%-Yp?;;ODJ-Q5vgXtATXd_^DM zlCJOBL!{TLLtK=2sV9S%I<=y|xcGKMX)YI@FxBC4m$LxZ=pioXPy%IyA-BbYmwZ-K zaE#ZhBqa?a(ciFlJi-mgSb|@g4#z)W{w{KYBBiOI=w_md$NOgnztC z&&x_Nn6$#(t{F$k)Y|A%iV zl>*O#uo9tEboB<;fxVW|lUZ!wPcJHmRwb=+x{oluas&W<{z+CoA{6J0m=?ryFa$Ca#s$5eU+p)dS&FRVOj$(%)ondq|bCYA#QoLF|uM{0KtE=f6~DYc{eO@#17Q4c~E>4P1UC*)7R-S9m?S4*YT*q68+ z;AmD_^jUk6=PK1H?l7R327UV+2raX8C$)mx10LSn>_@*iOamTL84SPARiqy=yeGCx z?v|c=F}Y;rerU}&`gR}qf2b}hyo~c*ny1e;)Dzo|^}NM6awiU$0hf4Nrz@#x%Zdru z#Nv7dAPLpfdH+!__uMQd2T!TqrzLj*GHwOJky&knzPqGs^B_+-dfIW^#;gh^SKI0{XCNn7b-C(ic5hQCM_}$eshwO>5fd+ZtvEWigiRa*h4Jc?>8mph^Jx#jIS#$yErPcw-Wh{G zhjcP|C*tLGI~?Wpy&-58&r26zHdSBSwRLcvX|fAmRr@sp_q6k>=o_xMvge^fusbanV$F+TM4n2LS_VV z6H>d8AkO431F{c}8Au{}9zNUm7NQh?oGr|K%$qlm>3Phh=TdzRHJDu+CB$3QXGydd zJpgeXO&hoZEzr{iWHZN#(t0HGix$!*-RdchJ+eM}#=wvV!K0oo5|ZoNt~bs6hu?h8 z>t;`ieYM$)ZZ|isb^d(0r-7Y8|9X*7=h0fBbpdd|ZOk+wRv_Fs;P^0@)nh}egqdd6 zSyvcjNCU)%w|o0KT$IG#z$#^9G%_N{6l$PeobP*NR51$KJREcocMX>sDok6JmVN}d zfL@v%c&1z^VOfsS!lBLAk&far6iAB~wet{o!@fb;IIN*!xFI6-Y}RBTbHW=mwE1?>XCGwBg2@P3167L=z_2ns3pY#7Aa@eCI`qJe z5Lr`VU2io$v^{a-5rNaF)}i%xV3b`67rh}hU|K}JS`w*Kx}l*1u3?sQVWe_Q4)B+o zdhlnp@J~{*UEg$UmMuEYjE2Y=<~p)wt)BC<%Lo;HbNoSL&vzgq(3t>HnfK>aPr?paf9dj!nW?$*`r#s%ur-bgLU1zoe)eWEp2^m7ALx# z;5=)Cz>Jg=lt`V@8JYLis;n+GW9QZMJX;AAY&7kgUj-#71xsPWsG%{i-r?tP=%B&C zim0f}a^2Cu)Vr?G#mAyi+t~+t%yD(7^LNAv=QPlLA*pxMU_ zLqq^zr%OwCxwTzAuP#Ed8A~TL&4xW4v;hr|wyzraJeOx0c<2tap9ywR%|{d+D;Sb% z04G`#dw~4(kWJv|5#*l#qW4YNk=|(}=Y(vjw%06`H3B964|m z&br)azu6*s*Qi406Iy z@q)|6P-nVc+>Xnfb7T-0phq(m3W!FCC6RLi4YlFXH_ko%Hw86 zFZHUo5M$fR9_bm7n69n9(XYM|W1AB(j=|6@tks$mPNSRsf+qlfDZw8rBG{X1rnMQ) zEajWKkmR_%Bx@omASDMnoYV#b5P6f@%;!8L1WO4~UzbRxnkm`)Nj#U}^b&0CSHAXT zN&iY_&V@tWgoumuE&HA8y>o%s2qL%@ACNH|U$cRfj8c6^x8He;1*qj69k~qkM%zHM zNaemGlM!4ff(KJq4fdiI^m8p=GHxqoFvH(~a2$yK0_{xQP6ufncWY)lS>bf*n%86w znc(f|Q~f}iHc++h<#8rVes)j%m*jEUyef;ODd2ZlG27kUJYWHIRUSus>;!3@Jv>QY z$g0^8OcSeaO8`|{-V<+!Jx5%mVem=4sQ^HS!I%gp^%?BFG3JHO6{oX4uDi`<9JA1X zD`8V)4ZBWwBYWc0r!5RvxH;dchB?n`ncBbeHRWh7yyC(>4G&hT?^-^<=t;FA{wOOz zuUqO_A8uKJ^XSMiwjA(W)jjqdsX8$(J=>J^t7%Frh$6!ReCi32(Rs6qlO4^_^(otu zXnF9XIdqi|S**|vXZfbp%5LPLq-WqCI<>SngM7 zC2#Q{L<_Gy;QDO-^$jWZ?J8z>b6$5WszU$FJ1AlAh+ar{IFJsoYmM30*FwDc==_&o z`?4yAt@nXPrelyHg~LL&+t40R3jnH??9a^f(TIw{HimC%?lk|HK9UWaj@e|t%fOYL8t3rBs4{?Jz5#*BTXzd3YevU_WE zn?whEHg51-((=#iGR6J>ppH+(I4ovW^JO7I=HqT7saHQ38m zWVNjkafG6*XmAmvo+ksMDsOj`D6?u9;Nt@X+Em|V((XH$)befh zswv|RMJWK|f)?LpHf3tWkN}<+AhXpzeQWe91Z+5Yin#I+_YXW_S6PD>zx}I9cZSm0 z%O}N!=G7`$(~6JY^>U64YjEPI%qugP0?NIrSbHco+0jX@lRdL-R_7b#hVKwUe1rla z50VYSd)~Rxm*`?^C=CF+;7GR9C+Uq7KoZTHnZS|;KmsD=})v^&}X z*j*6xKMA~68fe`J31A=cH6B+P1V}V)o<|!b!UkKC$rmg4X6&!Kth(Jop(mj)i!)z& z&e~O1XV4;nt0>jS0xUUzJUSgo}@kU;%~_pLI;`&TOLCN$_@7N91&Y^c9S*9 zt#sYjPZ!?n6tgh+x%amVLu=i4B<{q(*0_T1O6gMn^@aJ;rOYy{XiA=G8tBGPd`@Mh zpm^}fWOMhDUjOQ1d4DtZxK7`fpjyA)Z$6msI7z%shiz3?+Yc^KWsa`+(zIT`IG(N= z&pOdB>8*_hJJO^w8Qis+Yz2;WC>-AF8!0b`Wfkvq@ZWCI`bKd!bE@Z6yiR2|BhBX3 zB?!~gzP_BBOH1>;shZ2VZ1&mhgF+1=3~8MswHo*@@RLzh)jP72UhF<$G-}|qm{c?{ zvvE^Hr7AoO79A4B0S`aB?9lMCH{aQ>oGgFgo1|E0fRx5%$0kl_*GiwclWMD?I@89N z>HCU~~uo;ZR1gndN6XmS$>#iUz zifl|ORmnmcX0h?KCat%$CnEkoUW$SH16Z+hJ#ENl*v9qKXY({RL$O++rkH*8rpVeI z8C|5iOA7ZPh!BR#B#P{JyR5F|KZLGnMA~CTV*-TDr%$g^M0mR+DQ&s|rvOU3kp|p6 zL+moHVGx{-8`M=crlJp4p!M8%Ak08;+)P&R0Iyxk(o!LCtl_yoZ53EmXfw8KE${YE zpM3s_en>z61ilcHvM7yD%8Z5^!SYh+m$(G7>Y@johk#5N+tSt*OoM*BHAgqk zQiczX?;Cc&k>(j<$(vQxO{+yoe20YDnsQyGgQ#SNg@qs=hRDMymKW&#GB*(SwgZ_q9X3$}7Fh(zcq5aV)@68hq2tKmmLww_bFD>puhm zXk;`A?ZK5?vFd7gl+F_d)CY(y)tGhi=@Y!+)m1+2ch7kUF)1S@OfP7`QK7RmF0B#I zupPvxR}8Pe7SHAFyg*85f#3$Qu1vd_u2!>&@Xn^C6o7n2gCipiO3D$FvosDcM_t3A z;+{U`OS}ykwdpv8EugPs6JV!jyT5SM;dd%fyduxCr|BHCUsj~pwU_<*aTI9H1csWp z-IM9x%sO?NDx@7_vxz|nxlVCO9p6spV;LSv6I#)Zn4Wo4nHA^Y5}7uGJZm4}-z;@E zXGtvWy{`|U-b35~?dgEKuduNns;q1q4B{%ob!V3wWJBcO{}9$5*VRxDDAaMbCu7!N zZ*vROMxLz(?2yI@!+55kA7n}(S5sjjMG_yY^Y9Zmm;!&;KfsH@z6lV@+&-bFG48Ka z29Bg_9X?JL0;y>|VI6cibsiN7f;ifFbuuqDh{Fd-lcRxI0-%I6Xa?Z4RDA@dA+Jtw zi^ic;V@7~*N+kAiHj)Q!f1yUkS4zf?!Yzc>186)vJD*evUbtjYAYfqnYXG;wP?N1~ z0GPznU~7f z@)T6MHL25Tuv8A*FVLpWV2%6(^CM|;)6tLNq$Chd(V~=q{xUw(9@~#2I*w+bIBFIN z^;}W)wNOo0oHY9Sbe?yd35J*|fl<(3?ZuQM<-T3f3rp z_?dmKQZR(`ovwm2g}RUw_A5#fsHR*}*4LFYT@fE8FiiW4uSeUMdATy=h7WzjHZl^xPO~H(KEPkz1Trk9B$dS)&R}?ssrsY_Ef`TVL>0M)ce|o6Fd!u-JoyIbgl^R z#qgzNE}U;M+t^KPfwLjsPa!e@mmA@KUZ{QVtMFz7qaPE`2lQf64Fm@WigV0h?mOw; zcc?lEwi?j1U4P*t`JD5dgbk9y;|F(KA#ajq^sMr3WCqd1=h5qP-KJ9Lv-y$fx;H%> z?@(Y^)E}1V-S%I+;wqJS6+1g^@%5?H~4qiGp?% z%XEX=&V^`BRRbQn5z-rOk@78cUB@-=xDP(le@u@U1$TS{6}bYfaF{rQS8YH|^BnJv z{~x?H*IBxq(81-HH^P`kfoYrG9nZZRGfItsL$!?jXzrVL-^EwF zE~sg?M<-U)?@@5*AD5xH#M7|BZ_P5CC?EsR<&lxae*!Z%Xn6N>^#HeS=EKF42%t7C z%3#9L-?2UV=&Ma*^jvC_Sl#3?Na+eJoPds@#34|H9O@O6$pIOH?X->Z(aon*dh2;^~q)jg4e;9AABGr%b7+AgzTqp z!5IkgkY}CANo?B-Z%CR39gu}b3+;{NxxmYqy6ZctZi}#kz&8CGBKzQjiMXrKia;8S z*Ufnpg6jr1syRd)_#zW1t9|UiG@fA3D`%*n6`Izyuw`Haq9j5@NuZ*AT*x>|$4#!p znO<;1ocSyy=onU@9xU(iMY+bRVux~${H?}gD1etS9<|sLTYPNgZpa0Z=tAL9EzhGLgY#d1Rl=(U<^r>Ap438WiU(*K?AM@PcrJb0&^gr$)R1F&SiVTF6Gf+ zlnwSJyu&a+9y<;@0wQ_4IyS1~yOWcXcJt-dt-OyBqJ2|{L&vXYS<`bgx*e^-{)e^$ z*02K%@F7ZrrPx7an^Qt6|3*lFB{dnN0N798a6K9uI%3C@=+F$mt~Zt>@b;&gGWEvYC$k3(859@GmR|KoD8Qi zLcs2S5Ly?q7Eih0ld>QNR+tlNxwog2xZ2;E+k?}-;o5WpYX7izq5+I2?6wtqEuRN( z1)xc>2bV@wjJquzw1(U6j1Y_)T<>ihw*tR5qnD0}iAz9m8tK zN~E8XU88<-L3}vmM#> zwEsu}7VnlwV8b5+53^+qH*);E#?Rb*pE) z{l1Bhw3o*#+_sZ-(nt-Fj+QvWYC-Qz?Ktf4z*ZpIf6cN2)sNf^cc=#N9=L|I@hyH* zHE1-`mdd-_Hrm!}1;vW-36a^1q->Ad5O-}?l=?QWY8q#}cY&2U=#zl*8YXu_YqvKh zsibDp4wdkhm7pFprGvd?CGu2KkQ#H=Ox4e{_EAWh(&5zf^=wET?SDpJ%9V)_VsaWP zgA)Cf88@k*Bc%iOp`s=Q90!nA=@6|?v3|yM-KXU_=7+h50ABmPfj8DH*W(>+Qo8(M zG~F6Z7DyFYbQ}d_m^R&ptb>@Ofy)#j_;`9!iQugtfu9tQlm)KPyZZm$wTJy%_?xo{cEctrX|FRBsK1M2`XwrzFcF0Tdvt+2{CR znh1gDp|&&fbPt>X(!pQMNId#|m2?D6@UUErh-uT*QDF|ftQ$6ywr})&K68&2Bo@G! zMT4|^0ANlcLbL6Q&IV2isWBcTpbENsw&s@Dtq&mC9c`z#X6k)ykcMU~AfzNRbhfi=w3mM8rcZR0dw%$o5?7utM|=o#c|;%jNUz5qe*gVgDfy1` z0K!fB3BgxfDfuo)pF(_yl#U@jr2FcW7m%b#^fFz+46JqpmS>-;drz_M$fC^%4>D*o z!ij$OeULr*F*omH9;tbaKet!Sk3Fr2>A^`|RjW?LS~rsKBJasZGcj@$u5|;MYPlIV zxtp5tSKM;OyQ4>XqjxNY?>?oN_24N;BeN8)PvS6r7$Ldkc(0kWc`PK#kgCvqrU~)o{t@Av)7Ik!LFs>*hRACM|n0- zd|-Fbc6+Sr@}tFR2d{beN}6L)?VaaFBb)u&MyApR?re-m49B>wvOgfWy@Zp^vHfTn z8*;zdI9t@^2QR4{>B{=KNNVdp${xNLU~nSRH3-vcYlV1~dQV5S291+0luU($taj)F ze2(nrTK(A5J{=xf=82C!H-t_nL!CF)~G!vHys$~+*h?(pK)>%*J+tfhu2ni%26jn zr>t+lXW;3r8$=W}1xXNUxyW{!?~gy=LXg^-xC_8qpJyxO%J4Q&Afbh z4jFj2)8#=PdFg`c5NnLcZ%tzI0fSoU?G}+L^wlbb7zamaT(>cPO1(gr#g(l;e@9<22M(ycwFmPMZycCt$(Xfe;X0kiT zw%L>lC~CBA>Sofss|iT+9pGNKBfsw;quS3~`jRBF7aMGk$PbPdsW%`juTCuU2Plz^T%yC-h{dAq9VGB`vjRcf2vkrgr z(!fV~gLp*-3X*lMhdzz_r)8_S#2kPOjH1|t`cQ!vSXl!jj!EoCRvCv?(pI}6NZc^o z7Ux+m+ZZT|jLB3oh{u%SxFdn-2=P4B7qfTtT<9={Hvh4&3k9~x;dw+1-Ay|b&3J}( z44lCRj+4L8n-jtcXuV68bEbQ6dIOY;&cKBT=`+nnKFZ(irQtBZ$$I;GC$AjXfSypg z8$7Sa`l^|w9goOy5TxqmCM<+!^^EJ2&mcJAY`4V!Kl>USeTQ?G8P~|cauU$d*QoY5 z0@suJ3-w6DL<{V*7es+CkwYBN6FNwgePyrtOU=HFU?OPhaFQFS$D~g;-0$3=pKqGm z>p{^WXMcz_#F2{z;8ZIO_+QZg9+NkXhQs%r18$Ti7t$K$nj{$*3kK4Wb8M05gQvsK zMp~Y$Uyt(2pp+By)jMQA{owi9Dh42RlCA>@-_jHrL0&ud1>S@t0Gux+@D0@du9Jzz z`$8wP5QcFk83>AYL95K@$E$=xr$mSWl3Z)le95JQu7(CW3WEnay2geQx)0|y2qyGn z4Xh%#;X{{G-DQMxCteaxNXKuH4kx5(&FC69jX>+0`UG}Jv`H>RaI&8z5()Ta+Oai( z$1=3T`BZ0`m(lMSc-KOkhvFPB_62!sIKyA3CB8PFQ}#Hgp>T2F>GUQEZAjUaMq;QDNK^I?8|xSrzc=cP*ktm)*3yode7 zF0h~m3xu|D#D7IMCbb@wd+PWu)O-tvl$K(Ro z`{(2|nnx)M>$wYp(-AWkh8MdT(+Vv=c*ww%{OMp!TwdmzG8$uS@;+cR5d58)EQdzTtMC?-y2cvG<$9NobDZO&JlZvQQy z47bp{NNUB4wZJL>2UH?GBrhTa61O|vlju(jy#@WGh9^BInDcc#&c7H-wd5;XW(RgB zb0X3N0-W_r5*(zi(=D7o|2?|ird^PflI{>_?ZNlLbyH&wGL%R>>6pCCP7gmv4`N zKnS&qJcllLo{Z!@H0m?pB^&Yec|c`4n7nW5OTIFWcrumWOUwgc^oORe^}OM+s;%>D z2^xvuX=hH#t#hKyucMN3V1kF_pUCATWIS2JLpLCDZsD8E(DU_~4pVu|aEa-g4mlOt(9Uq5WluG&nb{IM-fY0d96w`@P|e$$SVU|BI9k2+P-N;l(D50r^j! zBE#06e>aq6)npg~&4RGxq;ZDnqn7WgMMHl>h~TC*PL2V8v}4^j_uU)^DeS9z8N4~z zvOW}-vTtpWoAp~5Fk*)vp+gcvwS_B-O+rAe7rpF4A1#b={z!SKnx#ttZ{C& zKuzBr;AU-7;gOE9<4|KZ)Awil!wzNuhF34@M$a^jW^d~fPG6lWz`|VX9;lwZy(by; ztYFG`t?^3!f|$N^aFW4XS|-Tlj;ur4cwujzKmR!(9-!mGuG#m<#Ddf@UGw?R&+jW# z!67+k2$~^F6{}~7J@|`qUwA54x`N!)B@E1cOQ(5H`upeK?mqt(uhs$r!GL;Ob>8J0 z5^i&ow}vA?&zzaY>GmG1{u70Sal|8AXC0^ZIr7T>&~3JB)7)O!y$b1sJNnHz^~mFR zQkR;_y%YekIw5%z`ZxPP$;+})WNZIt$=_TulYwmn@zPb_oM|(r{SEt>yq_T`=VYA|<|5Gg7`>CeS z>zkeLQB|l$)4o{`j2DP@E zik)+Y2^BQd(H)GLKz!6DozdQX#1$kBU2?W-fBsV#wrxB<7xuR4U#V|&jC4nYt(Il} z3^~2}{3i!IO4BXjp*qkhu#DC(40zzC-rcS_UJIPIVz-Sg;(Y9Hfx>f=FfseX>G09y zA*VwtCzWo46kc||?d^|Flsp9yDPm79-c#tO?*~t=)$}d4qxjNr@hvPODDF~m7sb8s ziJi-+xa3UP=36*u;bpNYcDxyAat~519IClojec5(ChriI2vg7p`z5cWC>@q5cgW?R zS&X8{Y(;lHK)0wYDNIr}MF{Rd*30O3PLYgIWX?H7g^}J$3KQX&33HXqqr%ss+|juM z(@otP9{FJJ>hmx=X~=cBCdOd>*wfXl?3<#asi4B={1XaOZ>cvv7Y^_fJ+o*Wg zYTMK1t2$B@n(jtoMninc2$A_t`#ZK4De@I!T5@74lLfsbeyKRV%OD)XaWl(e9i6?i z$Iop%l1`}j8enPHSNQh1SBIg(=R;&QPO4`&b{gblpK`Ss^{QE#$(f}(?Bv=!h-1Ax%6uq^5SJ!J1&d3vT(Z@$kd6JE0Q8I zuea==AArZl9^wIFR$+Cmyda{3S@*6bIV+josZ{HJ0wrZA>FVBOLN0qat<9@0M<%?O zhRLLx|LY$lsw}-vCsW#a zW3P6|WYXcA?==G7GNp#_b&zCkFb~PjR^obM$tdzD$}9|)8Iaq~kd32JWWFJjNv zxx{35S=rhAK=@1 z1(A*au%@2oOibSy5+4!!a z?>U3X{BgbHzTP+;f{;i%id2SvI>I1!())_xtfGHkF-B&i?7m`Ra4sDG4Zd;jD`qp! z@dq+>d*A?im*L91q2k~C`PcYNSo~_kF-0#rhc=+7ZdKjZl6f21>2W_he7{AW)S!O! zn^xL|wL8BY0ncbsmdCyes5PC4oofVALoBt7BRXUrkAu`_fp#n%N@?a#7{(6B>a7!j zN0}dGj-O77N4h&APHX`FELPx{ibrstl;VLDkD;HGV~+A8+;b&8InfW3h(rTFn^Z`K z3bFWCsOE*_Ju`sF1xy`Z1g1th)R3#YQJ2e*V?2sel=mj(vC$0zhqh(|El`rj`$%OT zV!!&6D(uZ+>SQtyM&RN)DK!&NC0!@fb-YO(-oZ|n)454k#Z7z&5^5_X9YwOk4E4+m zGlNVfn2HB!5}V?YE*?wqRF06mJxRuJJzqiQr=G46>l(?(AKu7;i8zl083~BGLZU0A zxjjK zm_O2XdA|gBj){g!X8VQ<)*&gb-M~C3OhB7H@e)$-If2bkE4pJ+0m|aZ!?urnYFz5* zok<&8pDprIy_km(XGKP5g;dgR`+Pz>eK0iIRXftOi}pBVvW_Onw1XK5q_q(oaOA=Uxqu5?zCe73-YeoldgpGuAJ4bDRvKLb(%0eoK=&h@E#acopn5<>6!j)zY#2b(<+DTu0Gkd{kN`V9**k4v9Q<& z`kw!If9OGj{^A*7xMH#@-p3h@u{VaPbV{?iGL06V}UXi zXzeK+?nWb~+ME&*`RU_1Azujjjwgfw0({J`jQR;o)VGNxb7Fzx16h~0QuMn}OXt)` z?sCP?1;oOyB$myILH9x45Hn$4LCgn;#f(@CV!&MSrn6tw0MLJ%kT)j;bqNTt^JRPw zA%9LNHH5ypN5Py>CPRZC?pG2D7aZyerEG0%bI{&E>6?xm;DqAGi z6=Lz1h%I1_zm^_tp=3JH1-U8U^F6V}4)OqghAkABE%a5?7CVSG4R_6hS1RwJucEft zLZtl)H2_r$Ihf!PEmJ@h&gHBwZxtP3chtPa9`f+kfn|sXYG+Qo4rQWwo77?#!E2m5 z=9^(oDIw+Y(JsFO=(-LYTWl~X zub}4ZHx$?-b%`*G004~}Ja2`#=~cny3xLi4fb4EkRw^YO|iUHXhXrsqj?(s;F0GU2_x~ z&6vjsz&mxwE3Ct}fcupx(GNzaVh6-@;>?b*#_5>k#FAkaSmKA-!EY(oYe6z(%VFY9 zlqQi`jqy{N;7P44jbXU*Y+wb;1;wilKAt(JdWhIk1|G zFo1KrxyeUy;%6|#Z2CsR6?vMZqZ&>?5Xm z$p3gSbOQrGv5&gv1Ol>ERKwpPe-9WM+DVtZ5QucfU*7_Wjp5ckE~-&v>fwU~QM{-8 zrX8+)sCveComwts?$-|W`A*fI(48NKF$on9lQ8bk7+q2 zO$-N-niTcg@fhFchufu_elViS4<89S((EI^4$VF|(?PbSIiGw~AvMHUXbMk{YaXxg zP8?eQ{!ff=(KMUEL=SWP<`-Z- z*c}~aG$_R8l7yo6Iqj80UN?tAaZCZ-Gbt@KaU?01HCu*=*N~GTM~pI+t4v8StLLbf zLi|yw!yJd#spv(vb)eEl#UA+MI)##(WPQU0)K^U?JZy1gK(fm#S&=YB4$~ z3P&$wWFZ~4@AAt>pdkhUsg9(&9Mx{8c8lI<{9u%eaEiA_c>mPpX*xhXbJlAlI z^~#r$w1g9oNPV3(VJxBZ^N^f*S3Pz(gV7a<3hGmfK6g@p6Az(4!@ewMoL-ClKbD~$ zAftqF2pn1&3IGd%pFv8+X?A9r7{+3>;5K6}l$Ybf##l+GZ4K;>5v^T+{||owndNv4VUosTdG-f^uKeh@w> z4*<0y%ITB)F3K?v(p$`l|HhmISkGA8q2JX6=~3wq5ou6;119yur^IE-U`l&{B>M8- zZ#9zA+4n=h*+q8^XWXS`l0QT4j32BC0J0F?Ic|ct8}WEAkm#SEFE#d8@PKymLlA&8 z?XT>8qQ zdb<%S98u5o6!~vXk;_v=1AIgpSr_0r%9JB;Q4o>%kiV$Ikvavqz5AJof1q!`JM{Bi zgkxqMcmx)Q3Xx?`X}Z?q_y?S5U(w?Pgz5I@C1n&;Oh@FccA6GiVm;nRJH_I-8IZ*D zgDUL}U07g+WQBN21)mb;#)qu(Z~jb2uiPZ@4SSK&k$~V@guq?4oyA#w@hA8ipGdu|c@&pLCO!M%YiW?{HiF((lW{uj?Szywe+a5$e8)$n1TkO&K9 zWELs_E|=cUgljv_f{#L3gjc~dgPh=iaWV^#ZSr8GS3h%ja3f*iV zsR1m3Q(tgeM_mpH|Beg_iF<{pw%dJ}WY$1l63- zUNLa~`NG*Baw|w92l;54jYek~VpIPQ|LNyHU8$P^_opCj3psz=8}Znr ze!%sK9bc)Y1|qfqfk3Mdbjz0-$}pn#4!cIG#L`uEK=_q7hSPM=Vbou9c{nHLnUt5I z9U3)lB6e+>*^U&rral7zo>=A&_mLH)zVlMj5lk90Nuz2qEt1OpKHM5=*Um>zp^K%Sg9t3-1XTAt@MiUttCMv6!b+-SoW80X*8-y05wr2!SBD`0l55omr_Jl0 z(~FIdbQYpcI{5Za7KFof{xUwLg&-N7@2ZX36c|@i_tHb*yDh2aq=O%LTkZ0SnEAvb zLu%^0urIgQBN9JMcOzBBLbS9H&-n}B*~WZ}R5y5|E=Pyin#5jm-5iO)RP!eiq4SIk z@iooq_jZjPNt1{AJ|O!g;OM%=OE=PdRf{S9^S?rZPYu5|9qe!ZU?GL`mpi+n;V3`k zr=jZ)<{JD;Q+0qJoNeOzk-cQsbNUey9d^0XBT_fNvU@R174*eN3khZ&1OT=tJn#aR z^Vn(Z6wdLrX?hkw7~XIa<^!J(hN=iY#SC8-J<**T;%eI}0FeSTgto&DStCpMWAj;m zsTl#2^i-t%J|IWTgevFy8>u3E>nV<`5Z6BT9TT!?K*s_o^mz0XaF#Q1346H$F2HVI z>D)iuND{jhLkvzbBaQ3zDIhj;osh>*oAZ))c1O$5ajIdsxge}#ljoceRaHd}oVNyv zu?PSBa7Hzh{A^YPNfR9g*DMix3fp%3TE}pz*-Ri84b#)sgVmv|Ry%=gvIlsy6nts0@DW)@uF)P-w6(Oq&`bQ`1birp!GsNV~ z$C;R3g-*&U901Ptu=bMJd!ZB6KHQLB;i&kncd;Uq5TqH^6dFkyT2VxD9(s1JfvSU4 z)dH3|XU37te1I7bkjOwiav1M`*C8+W_lq!J)**f-n^Hu6TGAZp@<|{`F%t^@OH+RW zYQRo%=FS(?1U1G&$`ewsyOT<1Au_=iQb)Xcw@ZG*8@JN7(DthKoZ@&4l$;UeeL`|s zghci{bBZRYW0di|hK$uHwnwme;|vjy!HiJA{F~Ax4(U^N8x#)Nz;JOo0&29|VhQxt zQQ{_p;!bl^m$u&Ba1}NyJzer4XCCrr1bK(JH0BK6Xn144Zt%vR zBZ7+#e=NHF0iXy7LV0u=N=l;{VZKK^&-#ZZwy1;EU-1oMT-ZUj$~nh}@n&yV+}SNA z&w4891_8m++Q>Oi-ywtoO$1AUmgXX*$C)5auy?`}&U&Mg$&T3r?| z94AY{>gT@$BvQI18}tX*q&F}{+n;8h!2ZzOBxpG`Z8EAg`+5AzHc7PE4HNR4eaef{ z8OYjt8^6#jo(7L!_MZ71aB-1#y;2U~PdQp-NIq zom>7wLhsE!seN8n1>jRx=P91}{?pQ%yk&YNGDr1W$xsPB=4!v@iZ2RY_8GzFf)!Be z?&m)_*)lph6i3Hx{=YRI*O6(0CQ2|H5pR1ps#znmi4ra@fXtfD{q}>QIg^CUwAIz8 z8zg$k!+t*siN|4Mtu3B{XSKZ?3km-QT{v$GTlt3Q8*C-dfG}kuY~s|H9o=AbRZxR4 zG;3fg?ev>+aLx*E`R>rv=q^Mb8I$8(gC>#5sXoG(UD>l9%=Y^bW-)g@jy?_{l;Jpe zeOdQyKIr|AcK?*OS(y5sPNDst<{9uf&kDxSm2d!m9Qy>nf=^P{9UYa%af`RU9xJCz zX17EL4s@+R#VXFY|IU+GoEcw;*v0n8Rxz9!)Mw+LASce8Jl+5B<3X-KeZzo17;w~C z8%kjPgP(sTwhkOic7>p>2?CM=+BGcRxPz+psICh<7t3{pHX~f=jVw zm@NCl?xP*}Px07f42;kH9%2AVKMUZX1!T>FX@aT(ydPYKYi^R)CqfSM;n6Y@?!mOwn z1WgnjL!H9@zzMFn6&k~2sz}4&*XkRo0*Co1k_7{d7TqtP^ax#K#F5@7% zWYU7?oM@;wybmL`e~xjq7{|0E(?TwpU*dGj0j~xYJOC629SB_-;n+;zyZ|rF_lbM94m_ul?tnWcM%au!62{BdWQYei5&}9;r*l99QHcFHP~>?IBW%t8!z9=> z?oTkfiC>hDoOJwK(3sywuSU8sJ4n(3%gXM1ndLiL^oiMs;<;9^@CS+ zs5A^>7J&OnKBDRYyZDhR?er&P-_6CnkUl|%Uh|X*GYy+!tQ6?OZ0BRZUSP=>FC})0 zbRu{Hn@gA72dNN{V;dayaK&^PS~h~0*7#W9;nA88-JLHKJy>Hv|TEX2K z4^GG#-*M(F-J5{U(KF1s+Y>S_>~6rE|MHM#Bbw6K@EJ}AO!r!_B}Oi|D};{btpWWW zV+iS-q}9|gUU$O?(g9Oi4`qE}7G&NYNk`gLLkb|NGF{6&v$3ym+&!(2WX@sy0D#xt zq45a%uxx<$ufn|lBZ=R65r+QGC;CgBkB3eAp3Y|(gxvnjFQ2BM?{jbq-T52y(LMFw zd0ceM(ppVgWdXUizXL25Jg(Ul-sFk0%7gpe1lba!&h zC9&X&t0sTc$lZBh&yS0<&IXUZLWO+HlGMR+&m+qj*b&+wRV<4`T>-$j6wqyPDxy*XCO!eg~ZVWW;N%koYS%fFC?$g@5BsY{KqE zGCn?nBosB-XDjTjCMJHCtPcUlDUIQZmv+^edX_}q0*uhqKf?#PB`FBl)0{o% zN|F?4WK1LcfyxpMSjmzF456Vx_d4=hAy8yn4}fogahVWEq9Do^kb{PRMu37kC#Y^5 zScc35pQeLI-6`0hsaz|04jXaY!fa&@0yju!K!c{f!7PN6el=psh4bpJ=eskI!Epj- zsEJpYSQ#8}-ny5%Gho4S?j!>_%(`4#FzA*;C&_aPCpcYwEd>%slE_{Q6Qm4GGw(qd zrVtvx*Z(Y#01d?zB)f8e7Mu}GvdCND|2zpZqg9RkFLY$k$k(4+rWGv}vHp49t{W$>|se=n;^dssT7Q zaL(U$H2mr`qZ8Yd7qaDeS;pj#)1t|&J z=V<7>u(^vgZET%_&Q2wdx)=`JGwgzK+o32Ace#TX@{Woipk7ATRKB>(p4|^6{g0vb@p2% zXW7@*)sHKeNxy%VE0)1Af+L3 z>{NQc6)r}nzL#=0;m7)83^e?sEorO984n)649 z!z$iF861EUlmbnRgfyC^kIpsUFkt=|*~0K2G^w_P9m7dgeFE?yP1B9G0P@{*BwQjM zBwRF7#my>kq?$Gqa@+Yu-OIMIMPdErvu-S>x zB&^nER1!6H%i@-yy)(>*qOQZHhqsjv(a_w>R!UH7;(?G8dD9A-|jdJQ8p#AHY+JUove&arJtHldvaKnSZhro`8c4-E< zDz*H|56uVlT>Qn~a1O;r(b2etXJ)%Se*W_dUiS9tl$VfBZgx*ocBpU8w%t;lSCTn4 zw~i#(ll>vp)VZ{DgviT#-l;C}I1g|EJXMgq(!Q#uZnb6JKGyp^3B_f7LILVE_3yPm zH~r4ZPlz%qByZfVcxkB*iZ<-=q=vafy|GH)VEN$LSlnpl_H)bvYDgPSquwrI#lzaZ-yU0%-?3UwzgM(vw|159JDNM{B<;lGiJGpl zhZJ)qH$WwaX@#|q20=To{`}w2v>c0kqk7yHbipFulZ_4BvpwjNL$n`;3U002Vnfo@ z$!Sld^uR3=h@55JfS7(rWpqK}shfTL{9C^KNEojzEI^GL`3Cld5sfOC z-%DyqKR}`d`gmvn0UvZPA^u{cfV))oNW4aRKGMa}^{~qsNPuo=xIsX&S zf_19mwaQ7#=;{{?P3BbHkmr)xT$CQBlBT-uPC0j%V;8V~FnS>(qTr77t@RInKV<)q zA3~m~|GA*r1Wu>U7sYX&$GSZKNOU{Ifkojez`uFC6)kYRu1{B)zlPSYEx%gzUag!) zp}Pk4KkcXJWri5fj^jnC>#ZUEr<01FR)9GOanfiU#DM@;%~9#y*>K}WQ{_vdXMYKz zKNc4icl6OTopyac);?>qx{-sFcZ%*c`v04goyMftME4XDgA}4MoY%Xay5UgSo1*d0 z=PYolo6XQUX+q!RXXVf%T4m__(64{a*mOB!M#MT@^a^2O}*7i878)x43bRHV| zC`5wt6wg;KCkIGBI(?;^0Khi9&seeNM`VDFLZY{&amnPqfk2$hakawxRfYHTPfsd=b(0?jWwU z7%q~9;WWMjSl>}~99n+sj;#A3q72{{bi*;sZ3}=ds3VH&8xQ^=ZY$Zi;4cxM%~9Sjs*!F%*{Ah6$k65Hji;vBTOeK(GTasP4#{GIjz9=C|_ zfIKQyy}Ka*2yh2G^o2A|zy-~CfwK-Cnqt2%429(&1Q(FQ66)r_0RHo76d&9|ZSg!Y zeTQGJrpFJd08bK){Rc=u2Y_$QMwP>*G`A&r`tTONoD?LkLYj~b2Mdm4YU&MX82KTe z#N#civUd`P?Di~m&v{!r05>GN4kYeYHpR0jb@&C?dULLlSPSY$QDF>Ywx4A;LcE1u zv1QAGLv<=Rp5C$9bcx1{JWFB`UPO7DT~%|Q&d7Xy#;bWrfuBDSGQ6D+Xt~#hm+QL$ zB>*S9z_z{EEFC8?t1Av(H4pN4Lr4Kq2Vt0Y6#}BouaA$fk=Wg6GIsS+J8?go4QRq( z!xQrI1oS;CAt3^A8uGd}!9}G5Nf`KEI`*82kgAhy0VD`d>PV+TnjfALe(Y6~lM07d zFcFUFydA?wXGx?yU!JMm2h~Mb3?_Uw$eNy9OC&3RG3s+w2ns13s*_w&+Fk=VEWEKt z584sQE}CY-8=k=(zA=H5H$05_T{2oY3siJ&j={3ix@^#Rv>FV0Vf~*!`Q{t=yONmD6{Wzk=_mib zV%D|fu+_Hq#E~pc<}dBRhcqrb$!qW6ov^`6QQznsPP3}s_$OW^zPHPMOX?n-WOS=+ zci+A^EJBflIV!oTr<4Tp$rWCwIWu)Vxpn9sn)!0c-jQv?q0A^9)JEcM+i4f)`o~n;`SqGqz}tBrKkas?bo({c8aqvI~wY zzEo`eX3;u`=)5tmZVt)DD3IRo5Uu z__?m=mLuLc)vtAlpjtXj*{{DlA^^pTgg{PRRht|+bMdrat#ry<)f!KR%}8Z_=&9nl zwql{P1zrTzJR;im=J2tq>~oGcKL8?Lj>z%=SW!50&^199= zTbbqwNxyEeB>|?2hin?v6^P!P2YpW!FabMxOFVO0B8yccOaS1KZ~Xd7iUz6jq=KLA zwyYK6=oy-sG?nsM9RU_;Gj>0CQZwaq4Jb+|6@1ZgEI%Hwb?BLSKx-9;`VW&RE^?Nq zd9p>y=}LqEfF;wvO5>@{z9Pmw_Z?yn=}+sQ!sZfl*3^tus!J=dm%p}k*aARrb{6OB zF5v}U*3j+0r@xA``UE&x{|7(#AqbyR$2W=IjUV5J1f~Gcnjyd}+kD$PfwiH=0DzBp zS~xyJZk-ThY*Cwf;$%#2bkCLluNL)?x*igdgqLxqqeX+M#R0*u@DHzc*bh{`QB46PtiNjeHcvE(mWazf z^t^xWhc_u2S=ydJd`u_ha?<>aiUyi$$Y5+xaSObt7d#uY5{bor5jL$aU-)LcTri=6 zkuDfp#_y5@E*y&UqOqg4+hWJCPl0t-EfniRlOLehq68@tdpu)bXe-jejJey8xLYu| z#A3LaQyeORA5N@>OCeh6RP|@QUWlfE_2v_zH26$v`=-lDlrys%A-Do@8nH&4gYZzz zTH}=(n<8=cZ~t^~y@GAy*N|Ti0QBYoBe^9ssa^32HnzGdU|AAGWpOO980@}#rJ4op zFI-k72j&3ouChNsLuQFh|!G`IvLLciGf^}WGrAW|C%;&$D?LvWE=u(lrsm|cpPlh(t$_!*{|(=2{#_Q zt8E!LEg7bo$Kpvf56(0#Vnay5r7GgnvC)qyBoIvokF*1u&hs5AA@jlk^HrHH?VJj;z49~UG5GeS<}BkALVx||4^$>jP^`=I z?+xjajBvt#sTLPe`?h8^$#-pB%n(SCOA2p~C2u!&KGB)2W4u53;YX*{4jM>NIQi~Z zHVl#g_UY^o$;TlxvWRYj-w}!E8Gs_Rjy7>nGfs0CBp+b!Akxv~vU}Kt;G=V}FJe#r z5Wm%^o1}wgH#C|VXXvUw9Q3#au8%h8tWg>eiJsdNCtVGvtzsI^Ti{gHWoyjUVjTC} zC=tttB+M|nwd?4pOO8sTt<^L|t$j_|A&Qj9S?lp)riZR%)1J^Do!ZuC@uH-Wc!4`; znNz>L!QuCWFr;a_v1HSptR$v;+7}FWZ1Syj_5e%dhn!m(n~dIQGK@265_t$F$VIaZ;&ks^F5;>fbL4(H@{>0fksUS%79Iyd8Yy}n|OS$Lnb zRS-;>+M6xA=YPc2)EV2h=fj%C31(+rpuVKeCS3$KBuz&zd@Ko}{m}W*-YNDO``~Be zW+-Ec!b9+-`%)E4)45Pu0nJ((=kTBT`UZ4r9Y9+BfaZ;Ej;tp#4 zi+`kTUz?(Vj)dKcci&A8kXCjFgSl%9yBM-`;3763?)U+cn51uWtA@px#cqY`q<*13 z)O!Qh5!h3Y>j+rc_Gl^v_|M{RI-oT`QsxDu^|X*VAw%F@nn>#8AXH4AMlzDyG;nTV zwKblL(ELTW?}fTtnz-|}((H}4w%fdA>mRMSZikfrX^G9QkV^;-WRnNRAa=&dK%Z1g z7j(hWQ;h_-)A`82e3QxmAYT0KM`NEe-<|eBmLbs&aezMc9i7mK^t!K|i_9M1ITj5y zIdb#Rq0Z1mRC6*0y7qpzc_DeA6~!Igq5*M84;*`yA={WeLc?Uf_l3rXWusX$E9-~T zBKaqH^m&t6{xu%CCLN7Nek!cv&vYdBF=uc?u@*y)t9o`A>~8QfapJ_a&!n3dO?73@ zSNQEI+T{4fLXwh@zK6(E=3AmeUuE)L;Kb-G9PdhCG(+V5{F}f3x1GLX@4sSCO1l&d zo!A?iu}Liei6&Xb!5AP@>xKlPVs}+Z#{Ir3X3Znr?iMxJt zoOBcLzW9oL?r6an)&0j_!FlAqr>PUBt{yO{*3pezpoK?3{`oBicjUx7yN~u??{5D$>5xDdT=B>gpp5W z&N&1o{l>6DD|Esz8CIbFjs)PIb_9(r)FmP+5l{(E2gcSs(s9+k?wd7wwEY7*gCqqA z71o);_&0Wa9Oj<{j4%KXHTjOaN4oQ2jU-KdfDW`I{Fd6H*uu3DIMRrtBxSi?T{Ij% zbP8Z}8@vrt>!GI^*tP!}9P0VY26x$p7DL79-PbKV>{V%4f zVs|8#Ph($~N|9dsQIAp-Yk4W$-_>Gw%L>LE_jZh3F#|Z`x$P{C@ zr6ToiAkjMiWPNN68E$CrUGUWFlt1EMuW@|-*W-VcwTENpQ3^>B`gi!={BB)~Gil8` zT=UJ0l>FpBt-f8*@tW~pCI!C`m{O2vi;%AQDwvt5ouD>-2#=tfY-leI zX)IGB67zoGhc`cb^5FCpky@}Xy4R)#*8GzP*DR>v5=}w!+6B+jUP1!toR(@zvA#ah zN%$clMMkce$w*U8jx>V{-8v)-2{k{7U3W%JfFUPUvnL-z3aRS8uDf=NpbF1N7N8Fq zeTeK6cKxDCCrju`n$ha)Q&Gan(to0h;6p}TJLEYdVAAYyZ)wmk`%;fBfXJRqD8$AM zZ;NNzLycH5iFu+Aj5{9vN|UhfNp=IY|3nDXfP1dCaEd)H*10Td$=J>IaRBg+aIP9R z(O*<6KmT{zqNaJKdtst%M+R?hY}mk#THEsTpY%J@6Farvlg?biqVDMaB-{*X#4~ij z)Y?5Wo>vPUvnAel0_`B>394V@i=&NT6vinYkvZ!b6^(rj`pVWvq%4rK2CG$#xeO-}`$B`a~Ko2IV_3!=UceygHf5NZD z*Z z6f1xpcKLyB8S#(BGxDqeomRz;Kf1{W_rz{GBXvXj#dB!G(`Aym)+=3Mw7=58N$FCF ztX&I}PStXr78eiSforvF0OC~BjFeUGE&!B&S1cobmR81ZbS+P6 zA@|<+@@ibR#Rc4a>@XCEslmCD%&Rz%)LA-^=Yke8qoS;#FFA9K{x=Ab5R8~A zw)To6GjYsIQeY2Tdr=c;r=00WqqxxtVbNGijuz|W7-cHDMBpIN{00$(d>CYG=M30# zhZssPj6|LSAmy@`_#WVS5v+oA^FYyGEvM7%0#uJAC!|2#9@+f^X~QPHp#?AnE*S1n zHHaMDBl&G0xrwQ<&^iHbRSJw$1TnnT$%qBQjti2oTOge2$gl>I=nN^U!pX>ha9`pP zjQiv39-%+~<1hZw%z3e=<&khW8?S880e=Nz*5TA=wB0WGtNp$J zcAR(2_&Uk+dF>kuM;gm(FllFjHAq*{w9P=UMq>LzaMx%MzO&KvzR^rK8t6u|nH3E< z2jWP$Hr9BhSsK4a$R|;hlQd;e2YUE5urWYv5nd3HhQUAuXgxGyADvQav?aly!)Hb+ z&Ce2YfrGHj`@yEqq z{0-UkciSSkpC}p@JHT)vOW5zsF_BSk7&rwzH0L2{vo&L;fVUKlHCsd%jnXF& zdy302+QiMwXjxFvjb?-Uxo*_+{P%9h;GIWMkRq!I3qY>*kH67|ADzftn;qL@-vJHK zk(V>hF$$j(_%b#HCyI0WmNRgZrpX#8(YrJ`-LM_}qBuz60K{#)i&IHXXb5$c1Jv9E zzyZ%T0|)1AtBd%o$42zs2`Gth_%7O`{xUVq@Jn!{Ln>N;I&ulmNyZXxMkSu}{T`QX zfxI$G7lJax5eTNYfA-VAv}-*{%o79=r!Fv_k9e}mszTpUHuVlz=z;%H<7%ignlb(< zW``qLt;g{z$i?UcZ8(E}p>t;Reax^+g1glN{3LwTXkV^7Z z>B4etZqq%v6EJKlUXgZ;et29wmf}cH8&UDs zy0=dX$ql#1YUnN%bGcZI6iD#jH-7X-AS+Zuw#N7=+_b%$RD(K6mdG= z4@gMlh*=%x!{_`;d{2cx-hHTA)ocLn;*C!atoqYnT$hss`zfy%=|qge=0pL$q0=DY zwQ=U!ahP$nIQG$3sE+e+_$XwmX_R5|op_K9{V?TkVwA9ACuP4OPJ>bquaQJ6{ejB` zpgR*I&-$*eNP-0$NeM@X~+HMpZ?|>TspMf${cxv*+{}LITv-v z)d;d!b8ZTC1)Pt?Ibkc{>fyn8d#oinq=cvN5&fcQyoizHbZC<>)M8(386=9c=2f}S zBKcGy;hKHuJAmZoua7C7it@64oMJKGfB#D&Ly&cT$ZUWSwR|e9p>;4A4mMoB!UF zNk~L=iGW-0fpEN2NM_eER{N#+{AZlYb~Y8WRkQbXc|zC$FfjWLcsjz~U45}5dB^~y z124?wSaQN?M$)qBVsJI>V7I*5}Lf^hR@l zl)CMx9T*-trBaPxDFni(LtoT#ey>c}e5GgK+3>3q^1R|^f1C^CJR`QqiOtITRXH4t zRnnpX?BLPRWJq~uU$55%TO$>pITNXbB`C!RnBt9&xwBRIst`DL!5-fzIMu86_n9={ zAUCWH;^#TvHApX|;OkdZ4~~B`qfJ2v-OB1bx;BV5%#qM)sC&7cbM|Vm4;?RManM7UTynqD z%7nke$_U49>pkE~ zFGTiwo5PLO`j>yAqkV^*oz9VCVnjHz_u%^}Y8J^-v`9vAvAn69FfSG08xg=ui>tKF z%jX-(hksnMEWXLBJ(8LowUsL-InzfPBFjtdF*Kh_mYh`esA*?2?qY0&BRWWq**${?0#zkO54{k{XrBY{sNlY)EtyPWGdpglPHqK4XB5UmQjCCARR_!}hwZYj~Dvor7nAhgs#dP z`?dw};UO*W*X+!LZr za3KxT=J*CW;C3HT@JqD$;H3h;w&QS09yI+YR{+U0ahO#v;k(Fwx_lK;&;G0SoNhJ2 zoon;vMNZk^4XTs+LrvI{`2kUtEl2F)rD02aiFo(Pbgoo=VM*&<%}IC79M~Vgb2h)| z(beB_E^3=0-DtcYS4Ne7<*3-1RH`qS;*Cnl*NkPYlXipHkFTmd>8RuifA(ftvHDlusXZ6k6{~F!ZY#*rm?oi_e21@HeWXVci?shqR#QH|e3Ham%D(se1WJ1Ye zJUjE9y0CqLz50w)#6ic`t$q|~;9ca3-of=>jYp(zmc z;ECHQe}3VoHi4VA_FGaLcil6>QL3F#Z&Z8k;Rp<=qc~LgZcbPO70dq^-t8fI^my8j z7H2#hk*C5KjIf8QhvIr{TA+v!J)LKOrDD$`!6Mv8RtPsK61 zs$YYb=c2Gq=$V+YO#O|S`m?I1gpi~Zyf|k z5^vSJ-Ez>;ydJ|e=} zdOzBuy$1J4f`JVrAwffjCjbozZ{|wWDr_>6PxiTF_yQa_aO!d_)=L3fDZ-fVkoDZe z@l^GkWH24XBt`>NrrJ^O+f$)|3fBnDLH0Bi*K^V*KOn&x3Mhx^&btDBY+q?14kYd! zZp8v<&yew9QV9Y6K$knm9B54txPNqtm8x%)&ElWn)NJf)PMY2lbkEQWh#tv@}Ww@r+uAPDW4&_*$h?PE}$V zxvHB}=51Nf0#+wQN2tIrVd6=ehQ_5AtD(;RUlH#OmP13if_KYbU3X9 zu?Y5}s@8DGn5^f7Pkw0q7r&GGEB^i7dbX}m>qv>8M$t?GPEEZj7{Hjy&Ln0E(deJdP`_DRVmERus9x z6ihHSbqpLxUFe)np|76=GB|Oj^Tc{wWhE1xc}a+!Bue9WivO3GYOBfLBxMmoKC?yA zsle1*OHVYWdrRC5Nuj1G^V~12Tr%`Di)Z?+m%KSde!%dtb}=?%ut>1CzT{&@u-FX) zcb*aI3sb{mq;og%ym>0Tfj5`Ql&}y9E8AxM$AS6xzEwnC*Y;xz}+K2h(_>IJS)18k>b~i zO#?AfuGsYU<`yY;QTLOTCTJ?SyR@0dyw z3=_jWPQ2-y=(`oqHo%xe&{`$&Pe_1*aBz8c1v>&yQTG->Y(g^{ddo8&r&H=I3vS@B z2fqqSkP75!KqO0!7p`z#i$;W0yYMC(a@rzWh7;1<1^Q=K!1Dz0g000^4MOhC-Xi3W z=Qi<&xrlf!qUq{s2*NG3yn+ACuO#a*!$n!Z(kLZziv;FoUvzffH`IWMD3T={*)Z{h z7w?u(t3;dU&wsZ;uAj^2KiSc7bYS$!F;x)JrBSxDX{^kQ)BnOavF2D1VWf222i}Z_ zs9{8TE6Cjzv9{_D@(5Dp$fER8bjHfVNbFOZ@xYf@>2R{r28vSMaxApEXe|R7dGYu! z(`0)@Go|J5W~`ntYo_jGIV3ibj(}&*M%JP!kp&CG{GCu6fc$4;``NCIfV z*@wJH$4k*|QBYgEh9o9KF`kav>`TmKIGsuDa&@b)V&YQ>&cyB)Zt(`eRqj_@D0^7?NEwp96fYS{SLr;QJ`ai84ur0ACEV7WXVBQ%FEO;GY^Nctt4u8_N zAMjDq%xUX=!3J6+I%x`p6k9i~AkYU4RnZpZDYwr#uyr96EA|zrd(xW}hw|VGOawG2 zFh`+Fi+bh+Tb(LzYh*>hKH-WkfMQo{k=dC;Y#aZH#8*yX0(k)z#M9A z!=8rBUs~?aNKoL1)#N0`Y5iBMc> z5O6aX;1HQ9W4mt*=(;yjOB(hU65o>TkG-e}rZvH+_J#!tAI=~%h4>`^WU)Tr9Y;ga zZtJ{z#h?oObuG%BAW-QB0!}Bx(>Dd!p~fV08LZ6$Bc!=uwotidLekJ^lh_QME|^CJ zaw^HTNd^{=rl>wy@_gaLo8E0%A*oC$uh3dtY|1!%@J~$NL9lln!c;0iOCAke9=L5B8mV)=HyjuXDSO5;i>7n!`ub#csxYTt2#6!b`U2t zHC=4_TqwBH?d9{|Y06wV=e*hGJB9;zoi`E9CoDEBmch&5iX?=;LWZydl9mc{5eo}( zIDL0WF~#n?If*toJKvr2!x1M%OXtGjh{urIY^Hqc-~C;5TanC@Y?)QJ)QMo@EDY!Q zO7>Y2=bVHdku{Q*oYqoK){vlEKGm5_mI>R$EZ1 z&b^({WGoN7jJh}~w8=2Ag_)M~36VM!q`}0j>xB=ePAgDh6lKX&|MebqsuY7Wo3^8L z4t{Uy+!;SzF`~y_=6N%{H=NGbTC((*73Mg}f@rSydXHw>)A^7iHx84z#yfOyE$z4H z^u7~h)Y@F(jo$3#b$A|$-7K4@LH5TfVLVP!T&r!(v#6gCf+S7n`ffHZ*1h506D>LP z{iVV?@a%f_YL1C^fy(9j*8lR8Z@wwow%7TtRJrNTw!AhY6Jpx|BQcj~4!A&#ZYd-g zlqWXD0^Gf6SpcNp8wA%Uafpyu+Ji`JN2krVHV|e@pvKuh2=1@OxzYe@S}SoDe|mAq zUelh1)WbP3-!4@(huFZYoGQxWWp7kb>+18V~xM)0|#$7gsr+ zyOySb)JdMAzzQ>mj_69A*sXyWL{hx1)-+ZCRE>#OTp(~GOBUePT6JqDpx3r`OP~qG zqnV?j;`c>K=dqp<{^QOP0O~L<&~4yg)FeAIz6J5jcb%<2kwjKBH6*%hiV{yb$o46r zjNc+C2&zPrtLcOpD*^Z4wIW1tw>9?`dA?5k8{9Z~4&F4CXRLQ;M!-~tsTIY*66h;NhiAw(cuAb5Mh}FuTnbp2 z?hFPXl7&{301M!#E*CgD>~N%yrj5t^b7v?3IiCicI($uahO-mNfw3cA-Lk(kjt0ff z{rQ-$UT?|_VMU1*Wx&V)rg3S4}+eBY6NePKtn zCG$<$#>9S4X3IlhK8cz~I-|wH2y6h>zF7lEXKNWVoDK5W6*x(#<(J!|>EJ|k@i=hA zfX9xnUv!XOfXAj}8U z4*=PW8g+^=F6h)oy?G@@42R|)qklNojQqsk*coe%UM2xRGwzG=UpDR|jU!<80A7+@HtgI=!VdC|Tsqe@02e!?B64dlEhBwEv5@~ERL1$mG&n#(TI z2@V5v(UN*kM>#SnOS9J||Aam9pfU3`+qUjV_}QWrpM>Z($3vv7+VKALEp-k(aq2mf&1^S^gsL4KM?-o0M_WmPe9HfQ5<2W z1Kwf4P>Db`1g-6<80C1f@tEwdAv z-W|~qiqd=X0ooX56V${2n3E|`3VM>c8E#tWL`ynL49JMb6;das2$ry&qyZq}1z6^- zo=xB%$6-y8EHlQ=jH$l{%!n!Z*^<%-3^^gBVJv-LFf=jjXPxU#_vnt!Z-^<{BXx@| z3OH1B5<9E`2;{Y2{~>|hNb15bgC$I@I^OxZ-J8^Hdy&2dqs99^;v78N9KPzi?>N^$ zSr75w^?`KC;u$<`&{P4Ch)i$!PC`b$@^kCh)2&_I@P=qYyjNPmlfr9$Pwkzb11S`azb2u;wv>p2?lGSADsI@AzTUNZGbOmSedW)xsa>T$8{-r5aKz zHAU$;3I>j!TF1}7Ik7TwEH^hQ*^-veB~P>+UpU+ZWqrp-1|@!VInd>^DYj_+*jJO* zQ!eLPkWCsA4UcsRSFFkEPpGC0?w4AmHIpDywzR-4I?$_p-c=;Q@nSkmNTa8MYEMI> za;N?}X*xjDUS$2`4|R48X9IR_N;@}P!FmlDYt?f@L9h)4B_L`&D{~`GrVmYvy&Ebgc&5;5O}c@lNJ#i@Nb86 zZhkUTBUyNNF2n#;of8^Bal`+Qx3`IvCArST9-GogPIxn0!;1tGV83g2U*`YMGvtlo zrQwC`g%`FFm6cVMx3V&;^XJ}I*Betm7HONLG&V=#2pY0SqcPhODN&S2O7jQI?ZyD! z7%;rFcWR0)QGnrvVZ#RO^PPyujLfQg-|Hr2H2U3pt0GSPN1PLJ&i66-c4ngVdXk77 z+ui~UH{atfFZEMRpbgxqVkF;M~pe{jN}_Cbme~beiT^jx-7j+6Q`{96I_=wUFYBxdsD%08{TP>Ol2=^h8{!H(#l`Kmc%;;;vDDCQ~s>#$-L_6rJ9fK8AV0* zI*8Wn8|MB^Z23lgH3>H!jMxGO$-?MPu<@k$nLwxPgvf2C<+iJ$spYQ{igE0e%y8!> z-K*Oh;^wub|2foL+*ZvkxHtCHKewO{qaiiB!nYE`3w%>l2ma{EUUSO$4X& z1NJ04xw1$RF@47~%1Z;-kiJ`(^G`W1bcX_0?rT(-uLZYTe(~$^ibaOF?vttRq$+Fo zXM|%mWR&tFX=O|i_Nsv)2rGA1_ZwK_?Eq#|K;uCp4`HDp(;DpbbP49>{*5 z*Oe`9I-TTPN3`jd{h|QDbzjQP_owBf9V%c?)@uQOe~1n*i&p+Nl?10c7p$is8E$5$ zlk}oHN)Ao#b5FlY9t0_Zm>$Yoy`U4i=j%`&)J;)dE-RKE0`q2ho}E=z?%8 z|B}p%fx6mWAIiQ3C2lYF3#p-ApCq$=_}-yt^^{>7Oxuk}$d9eQzShJ079%gHxHjVw)< znRF29tOi~|esFO-Y0HN5Bki!ef(~Z8*6x9r#VsWSU|rqsmJ2qxvZ7g7F-D-m{@>w1 z-2%U3qlQ5qLRE3t(=k^7#zHi>EWpp%boVR{rk)99G8L8@x!|&5I%)d1xCLJfO>B}pXx4RiTIJ(< z^qrO1mkmqIq{M~Np_XPR4q##>6=S#uaIgHfxF?;e+%^jF1p)gK@1?k(4Y6kh^GP^s zOK@T1!co!iNzsjum-O$#Nhh3p&zuQPE>0aBnFSa;*+XHnGRa)a=c~u3y~UXCbK#?o z^|EC4CU~$={$kzm>Zf%<3XTo-p2K2SR9lQSKP`OcxEuBy<)@eV+1AxJc)dhzHye1% zP5V1=rxt2aV1{Us_#1c&^+Fz^m*i971DqsDClod(B~@UJO?@B}v%%Iyc2cwOF2RMI znohxNe+=A3_8%*1JaCtviGd2*lxXY`id}-eZ@K7Jw>kzl_G@mGy zcE3@R(|Z3?&z`|N;JbQhEy~w1=_(^l#THnL*6jM*b=-*dL)SxGF$W)#`iKLI?~dNG zRbqz}2D0F#fFm8bY{iLodxEWv+c;AO&BPv>0?a0k({1~Xb2y;00-B7JgS&7_CQVct zAOK4zkmPGg>!LWqPZ3gNYK=$35)ObQW6Ns1mv!6}5&|s&PZDHNY;ar8zRNm?)0Hnr zL3|mxqNAF7MqRY(z6rIgy8=W9C!7Y%Fz}Ww0ks_yuaqG(|1WPC zD1>=6tVR@cc~3Q>paUh73{Ay)f`Ko#6obs?dv65>H5A837&Imw0`?FNe40VG2B2SR-ZM@b5yD?u9)*aRtw&kvj)ni6_W zl(0j!C0)BZ(&oCpe0aB3#WOLH!_Tx4B}Nyqx5a>pR`8?D#UdS*%k5^+iEfPxG(oD{ zz{wH`{*JO^C(77c9}fgMfPnBqYkQn7R##FaE_6bqgJ-eBgb&;D=Ha_FC*v3HNH-;5 z2X=k{pb18ep}EN8?8^}W8b*Y6aEmzCex=NHyT@`6h7MisL$rDmtkOT%q!E84!~A307bcb_-0+qYr{Cy z+{uiC3jdJ0*wTL3^$+hI`D%lvDP`Q&O}!{7)%^_SB^cR7UDg&ISa5KZWJAVG!MdXP z4OH{{va)DG(Pq|ng2cFh4dY8$BXvU_XO_He(4cQk3&A_tj8Zu{RZRErO+@KD$9>%%d0RPySKZ%^$ zfRIj%=>Wx7TBKdmK74E0e}NpSkXbQCa(4j&2LRyB`x*yVrS@z-OXbQgnf~ z%6QuRx?@pQYDa1Vk_n-caBS?X$UL6B!sI_LGlcLvCMo8(4IEzPd8Ln|iVEil@we?9 zd_OtRDD%A(lv<<*%J4N{473cuJ(Gj%nTyLx$x1d=2j9Gzxt+riYjI#5;Tg7pYbuzG z#8MD&#awqG0C6N8k0u&*p${%+qX`7HlpEGb0<0jxqPT~@>ES{fAY*IVDz(TrhvBK*sS-%iS{iHCD#4a zQ|qbYsCp-MfTD$tcMLlA5XZ+r3OCJ(25g7OQU}gwIDK~P)@0#=-O1Y%0G24t8aOj# z&fLLEqXp+7Emoj)2z$hyBu%A#_#N4IEASOVN_BE@By#t*)Pang(LpKecZhW;q#x;y zQD>p90gkh6UNRIcSj2?W(OKH;fZ#wqOsn3K7M%lkE!6H-tbU~=<&k|v z7=GFkWK!`(7|4)ULtp6UB@Bbe_sc(52q=W3E%iv=3x2zy!aKX_*A84DEK;!Xj=)$$ z4viH|v6ACORhSY?3i-h+zGiHBc@E!^#q}y-i$6nvci)jdfX3lrR|C=J2zTX{A&9ar z?pAn{TzrXWZ>A8y;ahX-;NoqqiW8oHfpbw~mch(@{0~H!!P$_EbzmRS*chFa;Z1zF zC0&Z9Dk1`Del@r-gW|iT8P#<*BDh=jgQ@LxL$iPk-aA?laB>|b0r1g+A2e;nr0(Xl z1NQd%#K<1JdD5U^a_Ych)N0QFP{tp}y&*A7=^((YLEo(f!U!EwT8i6}Y)5Ekhwfwl z?T2ngit~>4xki?{inj&_!eN-cI+SsZ*ZD@ z&3biWFVF6X2VNN@E4Kw1ci9gTSB?~_J&f^0DAVK{^1)vz3J zkS^n;*xCl4KMarnG=1?!;S}ow=hApI^-4U<6_NFLlS+B%!a6n>pUqWR< zA1))ZSZ>}Uh2tW>jGT+UHhCA&-G#0D}7DFpyGT0~8eApct8qcF%KaIqNK zgtU<(+y)M$_t_HYs(a-`frs>b{6-f?wLZuKyiOC`@L<=06-8Us0e%W{+coC$V)RCz z`b0~j!3%H))G^c$F0X6$6Mb@ssEYHh9iO|58pe^uudE1Hp!(e+&YXSV&6&EW-{e&9 zP8Ce}R%r!fDvs`z@XY69w46tiu*B#$25ccUt;|P+F&YZen!)UdGw7r_X~L-rm?bG~ zX&7Ca+s#qpOY-K_^niRq7}kZMJ*$*@SMw&>X=ZsDng8e{8QCQth~`5u?{6g~o!XW7 z*3bMrS;x=|6y+4(|Bn}J9kscs5Q0}CXbS3fzQ+RZ!DGPDjB8%3tvDe_1Gn{LEjrtl z6h8zafSO4Pf$yHMuV|A$7VEaLAKtBQ1t=;^D$%l4))-z4RsxqpHSDK#LE3E9)9#L` zOMTfLSn-}fgxcmbF?j2oYNo@R1B@HnVyergqPlR{JlkOX(A^txr*z;o%o|Z`@D{W~ z4c0ar*HC_Rgf4CAtAU>osK;my%)x~fPH-+{E?^au2;_#v2{1O0YIXbac!xKP@#_Oz zz3VBPiuqi0Wsa^)oD&oGkipuJI%S3&la{ya3>k;}d{bS~CcY(8v8l)5)G@s>)U9h? znq!HHRSMdyg}{V@)1blEH)7S(bYpgbz-=jB6)Jr$IS$Vj2-MO!7*RR(*S0;~^E0~d>W-r3pc zfk#ua=6eY_m-AuuXy5etVEHb*Gux<>ffTN&3SoYK%**_|5$nwLHDsfkk z!qLyEpYcbhY~Yc;`r+NKq}?2^ysX!Xb;DPB<)eFNA*3@az*&cU zf3o~oTjEqqRnTrFc|ABaPvTS&PNRh3sdvc57-U;O;tv5s?u#q031UQnUMUEFzHffQ!l#V`mgw zu$|R8i3?nHkp`s8lj8ScVsmWXkL?Je72F;3`tectOP^Lg#0;inyr0n;t^un|iVT*U z2I~kt2UBrdu2v`B&nxgr&>Dg&)8kUZ^RmdJu{}`cHQbxD$8zX9#Q_&RxLe%vefK

    ;$Cw(mGqP_6C=*0(Y+YBshXW{zwwj9J4PBRE_2}ag5|?-Y3qXB zX@)Js&;i*Fux?2_;>Jm6Jw$+!EdWDAa=ta}(Dv{yJlgPrMT=cLe5Zl){RsDV5V)om z3N)-6VdPvyV2zk;iA3>3DKk_OIQMCcoOd|{O z9}RCv+T?*cO5s@5CcvIV!5gJ2v^w7e*i*i3v;*wnEXf>1%G16sUs4bKx}vz$T)~Ld zc4SnSBg3vV@hDAaY==BP4%`=9C$#kQH2vv0fdkhZh7SY(B%GKW#?U?Tq=!?91AuA? z=6Qni7Uzl88$EyEk<>&!Ov3{P*=S+?g4UbpZC2Us;A@S0G7?33BWnJX^M+IegL=7A9`xxBm;5NfJ(x5c_4S6l7XtY^Y5X(ED-Hz}ZEFfmN1>6G0plv9 zxytYgO{3lnbR3`xaR8$uTHWHg&;E=peOzdB@9)Q3&uEmIS>Upb+{if=FxGW7@0w~O z;kaqVD+`Oq3Sn}`@>WdOuf7(Bw->~OMQ%(}T0Ssw6w#Z23>3XSoM@J;`34-f_^2Y; zR?@E#9yycXY!VEwFJMR|?Dz}HO|k~a+y=76T2*}|sx_Sl&I)_r28F=k@-uh{L7ZZ@ zo89}ylW?ppriOA3m^c!Soa(HcN&v8EubMk)3d=AOP^y%N#gY^;md_ zKCTP0(mzH;N6|(v(0T;aJnn6ogc<*`U!n$V>Q8m?#PCl_kkNYF1Je>x;GxDn$-Z27 zm!`mL$k)JYkPpr%T2~5|ofSg`E@G@rc{N9!vaihh;AEVq2}z+fg%g9LzMA6zFi6tD z`EHkFG`pc#uFlE7*_$eaDW3r{+F=8MM;c8%TSxkderlk;?p2!xJY8_zO$*4AFBofh z4)ElG%`EFC+8PIs9-$l10nMi*XSmeJmK{71y)#sq^?4jB?Xat_P?E zcu*#YH_8zRD^?9hj=lcYG2V1XlU$rY@Kj8l{*LVIqG!Bmo81;JbmyZhepD@uI@5}0 zVDF4wY~-t#!wvu>^Nx&YQWbWrv)T75pe!erSEuuMVpijHy zvEfHy=G0MtbXZup1JMF@pk#xx&1RtjfdRI|kxxY=JTaKq8UY&R6*#Y#GCCU;f{F@E zv zG4I^v=tP;X`ZgH3E1v2YZz%+opkkHbKk|P(UX2i2%CZ^=xK`t%k%FG6h3_t9bapmU zg8C!o(bIk5osX|ahmIUyFUT;y)oFx$lj5Y`?4EQsu~PzX`z!d;UH=RjgS^=~z;y3v zEt5G%`_~cg^|Zr%j?|2vR7#k%<=WZ;GY8kwaIFQCEPNvx`17_!EdX;$W9z-}-4{`I z?E+)Z(kmP2vIimGDd^0iQwM23OUBQ2)O4)B%QJ^aqU_=kHkxoKZI`vvxq0LHL1%*NU6cuEieQ*-zBQd*Nl*i4Qz3YmM7S8|J11 zDC;}KcAdmQ>;zoqDXmRI;n1E*X8elbb~jDkiy9ZR4CRcP!_`T2vka+qLu&jjZ_$81 zbNW-;!olZlTLME(X=z^K8Hukp?M>N9XEkx5Yd{meF5xsxmP$K-B7t4nWR3>U0XXDz z8A0F_^|oXb1v$7Kyb>2R2@u0P^x!bdXh8FKhN5GaSL*NKws16XrP1${r8^F|px8Lb zgQpAdi!meBybd(6bR8mV*q<8U;tBLHu5R(x!grW$@A!e%7B&MJWWH}H6KKa_wEcw+ zPbGd#S29$CB_ADu5pjPun6sp@rC%_pH8QyEe5QLq8mK#{X~>jXyP~Y`Wo=1&!SPu4 z_weXE?;y`8EwbQ9LZ@JRi*C?M&rAY8W6^eCqG-|m%dT-r=@RX#dFl9`^&gVqxh`S9 z=eZg{iE~_RSycV(hdV@?_>rSlK#n9Q3bgKL0gM+7G?pC10z)Kr1-=A2Rr!j0t z>XDy7n6IrGpeQm$LH!d*3&vTvquuCmV1LcCIq(|2Plm%*R0CXw+1LASUMctER4P*a zCE3Dubf*3UEsSv*-*DXT20$nK@~poQcOv?E3ol4Y^e%G9kF?QuKT*f0jtbxIly~hM2530`B<^h0>l9pORo;jlX+_{?{CJJ}&-A-YTWm|dAA(bA z4r+~NJ8(ePLG%{lhe06qIYt(AhP}Rn$B!uR96IJt)zitgNQY~D`(k2wvp%IKBRG6i zvc9QT$$i(i(}W||NkzY0myU@WfMeRV2aZL5+Ya#nBag89f(jx#Tb7b>g&A_IFBuO=WjG9!oW3~Ns5^(wS{xoF`<~RT1H+bi_zV+I zR>wzILgD?KAIfj~lx@K4~1v;6%rN zNu~b>q}PG1bU|LBLh~!rA9&tz3#k5%p5n!$XtrF7wQBNx2vacp9WZ znp!d06w53o-so6{PZ<(7w#c-dlObyuRTeF4L$g22tdwdsPr4bZor2a=n67^0ah$gw z%~RIJotjz-YGAB5B7C!e-IV=o07F2$zn+Pzy)R^Ujzs`20c0MCSY1#q!_4anF{MSo zcARnOce+Sxpel^*q#j8U+;$>#e3AYPQP`LfzL$W{Fmx6`Ug;T1t1xY?_z#+|F*6*zU#;$P5*pC4=?E=$p!6vP+jmNfNF?nHZaYXE#2ztIQjHTpf z0a=iIpE1v2E(>E4gl-VI@HF!m>D6o>lcIaTfJsNQw}6Kmr@L8^$am8a&SS|UwK31< z>lyU`(8MCWUZKXii(Nc$`H2&lRM*p{HzuX_c~P3c&nq>Pp6_|a`VW#c3oXWUF!L<7 zFLNPfehkVahdm?=>h1X^Y0S}(PRPWfQ#>3olu*KA0U6B*!X);rfQHpGbDS>(b7*NH zq*j1{e>2ZCmyNLvnXVV%{n1&CmMg}XpMLB|)bhyDz;*5f(LK(23_{=qRuDVclCTIR0B7l?I@r%8%{~}-Z;)Lu-VYMv&v`6d*TVViHMyV5S;|b z6W5`NjQ$EC{{{zyh=0P_As*cTSOUXhpgPtcefrrmjx{%YduAti@sbQMsnv{3m^bio zYiEuw9If2px~?wwC8;gSCBf@@Cwz%0<^$ zAeT}SC1su+VG68hX^$-$inFZg)E2;`pVfgwJaVQ-lzt|V;zPzF_dFYGdWfsgDz0Cz zFBPupJse@PAx4!$4aPRZ`z?Q@(V5D8vDya#9G6|m4ogQsa*fqy`qZZzz1;zdbz(US z&CK3Y<-#Xd(pGBU8CmzxsJkI!p1D}V(B$mWW&6UMVN%rB?er8QuIv5!*<`8Vveap; z4r1Mw>v2j%XA|q`^f9Mj$PX@diNrp9OCg}CDQxEaBCXoG;do0KDXIVXcy2wH!zM#) zAUnpyt?&kPD418o;Rm59{6MiF&QR9QW1>_nm6YX!kSUO^SviMPvl{?>9q*_wjtE)nrppX~S%FQpFUtCi z{98&4z{~{CvI6V_{Az)KC|q7h-e5AsIeuPViOl%CrGyaVOwu7iK`nQqW6u%pPe%0V z<(e(nzNOd*d1k%>Q~Mir8otX zBvKjvou7U7OsXoPzAy3bX#jG;iSNI+lK)%!&F~_74glIKXS+V~uilmYd?iW7Y+&49 zSwJD(?nLSQ`49ffAO6Yroo@H=4f^0;ez_!jhU`9%CK>&kU6bKaiy8p!_H+BDq+H!# zUpXIs={NrT&wk&5ckIpkzX$Yo*M&mw#9nw!8WhCe@0x)!-R}y{N4b9Z+u!=|`+wir zQ7-!SgD(vZ8KW-V{}UJR>sB|YOjAie`mer1d1$nL^qaqm%-sjSC$p038%Gk6Ch@Kl z*MhU~s+pJg;kQ5k!|(nB%KhOV{CD&VRrp(!=z}jgN$f^3buX#V*EIR>hL`26*dPAJ zH$M7r-=&Oy@yqXi^k4s;bNBFPFW>(?Ck_(Q^+G33(`(uuYQ7df>za@L^S{Sk(|_YBt)ebVabz~DU8_03D!pGHOh;vawM!(aJhl=sJf`lBy=fd`~{$z4n4l@Exgz|XG9 zP|c0LHA?-#570Zg(YIlgF|bh(QMsW-W4If{yws0=_18cA(wC`J`sGJo`2z=Ixf>qd zbwV0PI1lnGzA4}TysB|TYCUqt@pVf2peWDh!iQh^LsYnb z|MR7+Zj@1{B2$uGhnaP{)XE=z@%QCq_~BRn9&(?I)>3n6P^rw|nzq>!TLg=t`HSEB zwGY4kWzIz%^&XE+?BZg~PXIh`)YK^RyRxDW-%u5$zDW@#;fMaUA6wL>S~kke_0d;< z^@rd2I(qiY-=<%j``yDgYxEEm8hBn1q_{coFfhB}!bn)lu+Yv7G`Z~BbuARaIMcI&e)NT}fB2p6I9y7% zLpIOzy#Pxx2BqIS7b^FocmDw@_s&?kFp4o*(hNO+5L7c&kf7OAqBq|A{g3|sm#83g z$UjoQJBNSyWmHrZ8^m$o!mtakL*LpJo1!!%eE4f$_|Y%^E_KLzn}_#GM1Uk=93vXJ z8Z>iAvm0bkEOzK>kkyq@fMm1>*JPaj&!3W5dJK?oCuySPUyQhd$esZ~Km1)$Fv1D~ z>~PlJ7nX!cs{0+FM-g)ll)2B@MZc??Z7YsDI+R!tO(fdp#h#9$g3(KM6M)ML2s=rL z;i}vr+)LrSys!_X&XH-d9ge+V^c9!Hzik&H-^s#B4Ji(!H*jg7pB4we=Quk=Qh`wj z(6a&*puk7&fzw9&`Xov<0oSmXMTncSmznHVfZd^3W-itYBjRvmH*=3N%0LMtw$;t$ zF_02FQSL>LQ0b*4zHnB}heciFyQW|ODl$p=72cG#--)ht?g!=*-HLW=i2I-3c=n78 z8~8suk5NL5*T<6m;Z9N%n*0GYMEl`b-5?yJL+G{8Jj}px0tRvO!Mn{Z?T;p=vZqCP z>Fjd&mQMBNHZPZa(f19*5U|I_?E>&wOIlv$uG;s%vJoNX!S<@q8HCN?!fSs2wk|5R?>IJ3;_WJ;`}>D?ca^y19?;PA zEO;i+ix{&*xt5_*soUx)*1?>v92V5a+k2B>TJ{Y6jhE z5o}zJ%h+Qx&Wv6Sq&QSx6ZTCT@jKL-~v- zd<6V+ESzTWhMwf6c;Ogl%vi%Qu2n%4C{Aut(n&*0d@D7qwy}~IqTqFJB+$*MH!{OJ z-hHYYHKVtSmjJjg8~oe~X5?~-y{akoW{j(F&zp>}@ab-m6zVaT$T38d_2%iEb8d4Q zIei)JMGTHRWl10FOEug9CRXGn*8l#gpAtjU#0}&#Ul4fYE-^HPU}#FOU}3FK(tFWQ zyfnZIfDWcj{gK89TyQ=}(b5HvQKZ=5W;{k&oTUpv6XRM8W+l&!W~6dpXv+L62c|t9 z-ZisQ!ludXA>c#ZtRl7(GR#`rlf!EXP-T5TO0RgH^PB8#rOw|*8!kbHT@xVZ@w+0K0LzB zKs%c7r94m`1UyrK%mepXFU?{^&)@Re1Tta0B{L80%Xe?`A8&r}75eMP-+S-JfAp=t z`pPdmAO7=i{P6of_~`Thjl-#LV9Vg!-}xsteFbY0EFn^e{PK^!g)b=+e~DmV`hwP-jX$Y<)>dE^gI7}$oS z@Biu_ebJ^bKl<9AaOEhwtl4k<8dv+vUzauG&zFiJFIr`-<|LC9oOV&XpW70#tOse|4iuwOw0ub+ z>E#WOBcGENaiyMD#)4Dlxw4Ak@&#%U)G@&ku|<5~3AU;QSP&$H<7 z{NSUnyovpd^zC2&_V3#C)sMdL1+Lou1c9<=Q1M^>j!n5f{Q8%<(>R~AzXL}G z01ojRl}u>^`MoT4tnK&-l8=9IUGMnzu5iX*{`zb0{q7&ZOqAOF%1|K$5z(>vW$ z^euXdzS5mYdE_@={bTOlKl#4wL;f89cFib!s*wKRIq4i%7L7O_(evF0U%}5Gf8&?` z>bL(1ch;|b^Dq9{ub>K;6mqP-@yk3`zw%98gIe$xfAx#Mi7zO<{Ng!T0#_;@n8#@# zWjVSQ(D_k!ZK_j_SmvNa=qdRdy6MQ{N#?=vP3}7S?XSP`#UFq53tY)R{qBd~{vs-Q z#HgL*1rEOdyT5MZ%isBjTu-4I@YOGH1HS!5*->LA9#HBn{=nR^beX8r_y?->pK71F zuEalh&>FE0B!4$QxL77wBx5<3&7C6ly#*@DX$7A^{*W<&j9=N(aV;Yh+SfuD1ozJF znmi{P1zDWFBumF{*PzRp7B&Vz_ipvDBwT=l2&hRAHLhx<=$>jEBfKE z7ZW1~bVsKCxoeyJgI}c7pz}!i@qd8TO9t9~-SDS)?k7|CgI|33?w-DC@9q5l{jYU> zlOuA|NP>$pF_{;7PS)=LYGNkrcEyGfwSbXY7adSWcgmkC3IQ7w0NE{^WvU7? z(?*XKd^s6`y{4bs1ioAgmcDwo!s|b_$*O!pbHtv&%N~c!o)*O zGM96B=7p53`s8H9ta)Hl$>1x5)af!ct*BL1a4@)bi=tL$y7G(EtO6^L%Nt?H1?S%d&OPk02Jg&-)4_fAP5pULg94RG@H2Q zSO$7@=1I@ot+;=D$B*4W&98Wo1rQg^4y9@zjx$$v=&}q(`ezIlRdddq;%dCG-bta9Rt$$nN9pZUr{;U?1*uvc z%VN$}l+b>Raj3?N#&@1)wioC+g{~L7dI;v}rzNF3)Tef5YBG%OcdqFJt@<O3pIm%-_tFO%;fVKBh-xXQa_2M@X6iIJ@=sHD`Hs}xja1A zOuz5~W#IvQ1(Qgoj?C1?T+}lcg8gyNHIf=Tkx(7t(M}}A`k|S2bhaDkN2FF9&04c@ zY8%q~CM|mX(ZB7UWQ5&17dex*ckTY2DTB+883 zZC`f4e`iF)xsdoe2;n{g8K1So7p{LDz`YRuEM#!*yQi~9*9rKuLX|&$;d$3Fc+b`Y z;I(o_YXRa3Q+Qs;4ipJ59iIskR45+R)ppA-SSb!JSHB0Tp6wagFUrmlkdXy|Ji^;h&|%vV)f zivPlO(U~CB21}nrIqr9_8qk;~Ks*WYgX<)QvoFUmmj&+Y$XI^mzy>}OqbWJTiy#5Y zbszy)7vY@+WtlK!kqF{=ZeIey_r*FarCKx?5$ zMP4zkS;Pczql73@fZq%Y(t#>sT}kL#gp*#9fXU@*2`Q#$9OGtQ4eN#hkr~zIAnFU9 znBi;-KrjV(0L0jLaAB8W*i4iHufDdpExSuykVpzZ+R#2r#uw*KW$kZ=eRB&S)F=BO zz4kqJ6ejfsuOZ+x#v?|)8vvjr+ugi!i@*Y*%`Z)OCdhht8gOyNyTlVq9M2XwKT^gS zh*c+W7)5=u#c8OTC$ruXbZUQ_dv;A74qa609>#x z%Js!1nKHd4O^2C`kapXBVb^fcUe*Ke(Q*taZ|X2~>9J^mBSck)OaH1_k?mcSdjK1} zYDHl^kfE43nywR}Y!+Dd@M^mi?4*3YqA<$x5{VST*) z9h&y0u#1(|m%D}rz`muTZ;B7zb=E4YKbFeMsd{|A-P^K9!wl0dcGaP}wV>#>0&h2zUoTJZ}NBY~MCO<6xhTvElP7Fn=UTII993kX(M> zmVL9CDiDp?ecf*$I4xUXTGJ{X`V!38O$XP}V`DL{e0ONpmDmd>-zYKhdH1{Cg^mz) zc~kIiaTur{$Nb(n2A*yO9gXG~POAyTg!Sm^r=7gVK&R#$#EC0c>hZm#x5|r zUh>^`@W?2-ycAZs1qo4E^OVumO~<^^IAy}~yhVkhbR+tCg~!G+@uUk8a1~m1*6mHP zXCg;?->hiX(S+Y$sC_ujchGH2b z?Y7zC>MSA4g%xS@LkOb9j;%yzk6bznWIFR>P8m2NZw@O`dwfr&fwzGCGIUy+Pk3m| zq*`Pal$RjZ;P`|c>Hqxd%AVIf=SXOyQ#oJ&|ivWYStD9{8y)D?KUj2nw_YOWi zjSPghjXPc$NzbN-zCCilzs+2~?C|1&4cX38`+3t}IbgVbvjAb{u!i$jVL$hSD{75+ zXTVu(H*eOUi+-M6$+MC+%Wh{s_q;1-=n(dDCr+IWUP1Pm2@!{y@ooV{M^_?oB>cUA zUy#QK5d0jTsDX3~5(hLJ&#hj#sDS^f3IwdNstRPvXA2#`9!&@};_}a%>PMG8MU=to zR={^v1wsQL^K2ZrmhKbX5Wj9cfHDTY5M7BRa1(^p%1T5AQvULT9Cm zUZLr7ERJ0{)xk{yRfiCPrehuAiA4g{V8&yQj;qVP@)j(S8c1U+YzA};KKK2LuXGU<3qMM-pNaZ96 zADbjz{5p-N^7}QLt|fLVES@RN&` z@E5(1VLq=*WRaBdV?8oIid8)lD>OFGKytj{j*=>pm|N$C1>;^EoW)?!Wag_!Nq0+Q zLT5WTgKOXp0d!f`Beg=`fUBJ?Tqr|X_Az(x<(PPsO0vLrQ}I!NuxeTSw0ruo;c>|| z;K$eG(T>P2*2{|)HGqd+!SpW1))jI{x~#&qf8yEz!T5+mDjS{@p*blobwhgTW5hB~ z3*~G#O`lk%l7=2pm%3JgryWXp2jd;rR~zctJ`r5pCzczR`-%$quJ!Nz97sJmI#qLf zLV0Kfxa*h)=g8b<8~by7=R$w3%i+-J*YWWMm@m`;Y(zSqa8iz?51qh?QhsCRXx~SKY^d|rXTp@6 zKoSxF-&MUfk)UOhP_B*8WkeDqU&s;sxJ;na2-vhTd|2n}cOb_`2GzgF<4Yz25F#M@ zQ|CFbg36&BI(xwBJynM5)ch>3ni)P>%GgS%u@2t)1L|u1)`;9Iu>%!>y$Ni-1tAOY z!B_BjC2A=;y3-DlN=Bt?pJ8|oPN7W=xK_^EO{h2fAoam+8;oI$q)G0xrbvY6MqZ(~Q}- zsobu}gkF&PY$aHK1B7||(2&|I9R>Yl>|#(g`Kp71pIq=Xb_pp~JaYfWr_K1IeVOlp zZal^zZ5ZT1TIbw*($02ZzT52FI1f=$?8`7!WW+$^BroU;IvxQ2UvZp2zs)0<$LH7~ z`I3DjcDOy@in5bGS!rp6+o+{T(g(CizIjLNAfmRwZaRhEB+3!uPE>2M64$sG3;Zww zjrO_7Y!ul7?%3YoQl^q|H9@FAhWINjD-1k81A)*a3orHYC`cSI@z>O4VvXRkYK%p~ zdCJ}kv$}cUV~CdWXw=946KxJZf6@tB(z|NN^ErsjS0G~Zwx$dk2TzDm8cl%U@vc+h zRq%T1+0}#2zoBi#NxIXp;$NS3+?T@<;)c8y-OVJ4ZT%0*)cH z^6IoME~MtqRm#l47~}w}0;0JhP?R1tkxH(<9AyWYJLSOb`9yQd#l(-~^Zm$L5198e z@<%5#3R|`W^elk|;3>&K`s#8LE(i2jv|Zsni@MazrAs2^W;3+aY0Ty&t|cGONOP}9 ze?IRy^XoBR;9Jc>>`5y;&mg~;dM>o!Tg8{07ZTHYEp~%$I>-H4ZSzuw1wPsil|bc! zCvA)%Cfc%r3jAjG>iGhGkpi9(^c77AkMlDG%f;ODo-;EiP80!%y%m@8$uFkXQ8|EW z>G9H-7q2y~0bluZpZ*)W^G#ySW#J6H*iBcx+8%{1Y&YxXAg}h0Fa^knRF^o$pV|41 zVhV(?i0x0$N)lC4xUk7n&%9YRB*OGH%g5aVo_nOT5F#Cn#PO5G`&N>w;?wE&Ff(sv z3|aGrzGW{fVI++fH-@l$LRDyBC7LNDGp-Bo>G#6JLd*sGZ(9vnkK%6yU86lOgf#WV^UwD zn_ldApHE1Y&WD$v9~!jH@;VqqR$45-4yp8^#kXE&fcdegw>)6VMb(>9#|&zkI#5faKVDV zCG>uF7XjTYs9VbIP*f$YbxI!d#R{fK3>qFJ51og1Td`vQ?zNdHf(zJ1h5?81hX>&sXQ3*O09%9O0>-gtvBLnkVQC}+kl5GSnOMd&cw`r4D!Ju9 zl305^XPN8kw2Zn9JakU0A)YmuuIq(kN`9AFrqr(GUX-N4m@<1*CZ4S`$K!jsU*;y;x|M_`cV6Qnu|8(25&9troei?IMIHX#e5WY&#OX49pG zWUGu7T46s7lQ8LqBQLyf>d^ zwa%2&VNJFY10lg>ke?zYm$BS7i<-~Yd?yBye*zC*H5@zsaQ^<7c~L~Y&0rdn1_kz| z@ku!2!`*$X=RKiCW=rEoT8h`qMJK;y%L*_vE=^E|6tbTuuhRiak@IDB zCdJAHjTJ+cq>=f^d7%TSoPANBnpzQvN^R#X;ahfpA{FzlV*u8hRulRKmxqLFlp4C1 z50HIYqk?>jR@&Yq4odA}CR`qu!6eDheF=k-?-1?Ok^l~{!}#VGAI2jW-J#rc!&<+>Aly`av2IRP zp)WJ-z}gqL)Y<#_hc^J!5UZ8(Q31rqzL##n)5oM}QFew30}hI+2Yt?yi+0kS$wqvY z!MESt`!`1kOz?IK! z*=`%-!~fz9V9+{G6T|lnT!&tRAKp{E3JQK*96H4DpM&E%i8u0-2NQF<&+O%Z=3MwPsouXJjoOq&cPp3w>4*Pg&qI-7A+Mm!5`x1b3 zGy{5IQsFNKGI-nG6$SnzohR@#Exqeh$E~oZmd;z4=~C%8qlFU_Jq^+RMDwOaw4EaZ zH6`7B2Pc5FKp+|yaS&8haI9-q`>9djx6d5DHo4GuR_u&a^gbSs?;4ssxc*=!dLDqp zA35j)h@(9Rm(B(a{o!OI$lv-GKfBP?)Tvt`FzEa!mA8vfx$dyF%jmTZL0wgGIN=$d zvCgjO=mW5juk20E=FhUlp!Kb=+d>91M7ZGO43W$b%rb<|z8<6l2%C7wlDK#&FtS8W ze>d58Y6E36kCWpzHZ_vRD!C``XqiXKe$HnnHzD#>`dFq!qy*64NfWtL$b&f>k@Kw{L9h&2)u6PkYPjoRpjd&24nF6!F zJQ@DT)e2FFo5oHMn(0Gh_&i6d1MKkw{Q*V9q+SG(nI*!~*cXMaS=+3b@mn^AhCM(m zrW3?wrg+T6vrl@<;KsBYN8gX#7*r8vwq(r4K7|M@gkCyM`XKd4_YG1rPsW5oUGq`} zA2a{ib5GCU%uQ5=RIL(s%pl#j@vyb#{oWg=8R_srW@hrnn#r{#;PxtW@JvqAK;_6( z4u95`MBX78(;$?!OJ%meRoQ}BHn@l5NPI3;7g@KI%mp(`ILi`10X)er;~q$97Y#i# zLp1e(%hwb}wJ@MQ%m$goQ(59Mi!@l&-V&*?417`vWe#8ENX8r)ubO=^RVwhaSeFo} z^yzFIgZZY%T}b)D2q@^BPj7meqZviy40WBnK-6hzY?U-^R4%>qxkfIA_Mq}gvZJ1R z?$~c}q%y_U+kZG~(GZ}x(WYcC?{Nj#bI zuC^s;cy5Z8#vadrY%`PMU3dH9mGuTyGopF3>mW%D$=W8M>Cz4znH8EV;C1CvjnN;$ zwda{~{gLpRV{MI)$WPWSQNZ2ere+}{FL%OWQub=-^4;qWWcb3B1L=95Av65xjAW3$ z06$KUT>G(E<;a;p2NE*FiY?g(WL*`nUv0$72ibL;C5GJCkQ+;PYO?HC7$CIcI*oioZeqxdF3H`%_2l&GddDw9kD~*_$n5SE@@cCE)m_A}f3~FR z>^`3SFn-|z>&CxM+|ZDp8TI#ng8GNFemsuUOoQn<5PJJ0-}@;{^}u@pOqtNT&dg~^ zzbohmn(A!v?L-Tm-%t_*T4C|Hnf>sY;$83%0nJ2_9!J>A zz#BScNL91)f(#agILa~as3i976j-zw*=;fW1J=0QZ^)3r(*$Yp^sO7wfg2=o7(

      J`GS9I4j zds@f`aMZL6FqWUNKeuJilk^pTs>plzsXF6L2pPn+bF;U}j6J}K(F*%>A1nbwbhnJ|G<1Oul!&|JA=Jx?kd(=;8=&dmBX=Ps@D16@VKV&wGVkdR8_M( z`@rf;1d&%I`~VvEOQ}F8bMaSsGjVLT^!u)Dk*fd_A}Brm3ltqL$ZeBxY^z1^{}a z)SHI%<-CBhDM&xjTmZAbEcVOLB`c~O#44)Dg7Z&UYLE9E?NEW>fA#<*gSEt!AG|Ro zlg(Q;fOpq@R`npRR%6FJQ`Nb42{mSq)f*u$13oY}s1F>(kIZyk`sA zn})7&E+VrVxINK15gSX9eTR^FO3&E*^u5NBpJDa;@w{pgEpl3q2cWP@;#?NEK}^Z9 z;W%!bv;6w15&0(qfLWu{rQ}B&y`h~f2l6Id>E%dcup(e8Uksz+AgUYHgKt>P0GH7Pa^f# zI2A&p)`_%HskZ;)r`0v#6Z8|B&x*Zg)k*@bsl3&IiL({!vQ_IvtVlznLEo2-*+Iac z8MFAfXF{J#zXiop0L_RIxWFEbcxzHm^a3;c++`fAk+&jn%J$*U)G7c0*xU9yOr&zZ z8>Ek(9{G``AX=`?=C&+oqh}FNk{ftti#5DE&d465h(tqKfmb_M4d6$38x%kEqk8!6 zvACz{_3&OjBh3f_#ixfccGmR09zNRS`lf0Qv>$Y$x_x+;lGCylQ%9Jz7y+K4r;dot zj@UKOAshR?06<35UF^vKC~YQB1xy>-Q>X?)4GQgk4V_m7eBlpjX9=h5Gp6MPYEDl* zw-vqG+Gtav@3sYvcEeukZU6ACy0|}^mRvn6oYf|wuB`+IjHvzrdmweMP4kp`ZB5+^ znR!vdsc%k2;VlR_&ZWzk$`a~V0G%b} z>s+((=@oduU0tted1Cej6+q{a4r7ZRz>OxEU7^Y~y#$zd z&7pGu;lRC^Zkt0NbiIk0CvezVP8T%m0;-%(mY&X%j&A`fOL8{;{1gzmfy$AMPXR^_ zJhg}wcnZdc5Kv*O_oC1pUjk+o6RQ;-mY;j-KHK-n2$XL?W0sU{gnE3`0S{@FbGAtK z8ZM}P`4BYb%BEa=4-b8z-0wvt~3@(Wl81x&X~tH@}w%T0$1DWEdX~Cp~~WoZvpeGZOYQz{%Ls64@V)jxl))LTP1?utO0<1FEL&p$ri zNuSmg(00aI9)Jg3zFkq4|MOD{`^E^y$mu+Q?gbPn>09WCxTW5>M)hq|&2B-kc2CQ2*%>ft?xOOlklcpF5R4P}W)LBV@wM_OeK z?^aU#NDsm(N*UQDQ|F1mwVpWMwVPVB$mkfmx5avB%X=jExg0r@;LWlUq)lOSD z{)XTwJJ_VO-4_ROsRW?M1ra5uZi=0k0tjNblzH3P^1t5RHh2aX~f9fM(kg{0mhjhct{M|BwE^IcOy2H zaTq8OlPe;T3lC>9YPO_%k*S_Pd`sxAC`hxaPfg`ek6|a})W1q&zb?DHJd!b80O%BM z*TveY2i9GhjonlyvTOyZ$&ZqsugFqnAT$t(b5NF>ve#(DKA!mg9bkr2Z}ox_x$YS0 z>svYQP;tk&{J5b!5Ja_h;E=EReCl*(X%P`6wvE``?V%-Iy`j4hXKWx#N zVEp4Myv=2+E@J=hfBg;RNJaK)xn?#$fXkocii8y;sBMQ;WqbnM=f1G`p^L2Yh9fCh zV=ZBPt&2mGW69=f63A-dANn0IgtW%3T;CaOMFn!I5)jC6(Zl>xuMo1hESkq6|(x{p9w!G>&KD^hG&Tja|KbZ${B(~_8&Z}dFiDJ7b zg_W!+2X5K*YY?d&RU@g9UXg_i^Tw_~$hSfmm_z~TF68nhqSdTBx&c)ywp+jig9TuJ z*4t)!D)ImMlzNO+?#@hAprIPzB;K)(U37S{^qe(qxpmXqz$-2{r=Rq12#x+Ggl0c= zp=^}@4G2yC287Z&*|yDa#Lekex+j8GLOw!(sxufr`#T@cu;PGM+ClJYq&y@J3@kaS zHKB{Q57t90`6{YX%McQFUQwLe-J}bpL7K?>1WUfMt4zu`+KEFc^(~zt0Saz1W}r#L z;Hz3SZfLW?6`fL!;fxf}Ok)QbOGW|f3<|)=A&dLAptUzPBn>hdpb~J7WXj=7l*yL; z5Oe`4+MOtd5}2C`iKQtdY>3D`#_=>-UVX;&WPnwV8(CHje z#4$>kJ2FS2b4X2`6tVU2avTgQ0S}A8ls?tzWt`AqsGED!^l>9ck-Ttn_M6fsGb@av z=qOH8nKqN_!If#b|1)_jAsX;MOf8+UX2Xj)6!;ikPOnyUDAUWnH|x$*F2MYepqw&!>>L$y zt8^+GN6S|Zd>->dMiPRJvm|2{@ZBvKZU!MK0z; zY-GrsiPqEDnatK;vc{6STf&g>&g2>yZvOA%U8$%817@bi_YZM!+?@I91K9e(xDb+-Gb& zs*(Ovcfx?4o0Wlxyz3~o0JanAGLo^3^kNzLt~|;}jhgu+zUM?am{mt%zp+f!*$J(onk8{HxO@DO6+97=!ZF%=t8t;UWT8% zU1N#!b|p+qig3-?Nyj3+sYs9y*y8cwGMW<2B&SY#9cC6lRe?XFBui=74V2v1>@ewP zGV3k;kaGYL_PPXrEFn-O)CHfvhn)17172ds8BC=Z4Ut96x`)K3*O_MlGabymvWQ?T zB7Cff*BTPlrdhX9DL@pr08j6YGdmhfj4uvHhky(F#k4lsE~G_Vp*lr4nK%xz1?wNr9oG zOGw8OvR6%K9rQF4nxKm?C^6zt&DAfa)h|BLy42*ov+}TZve058vTVK)h-o9>0;S)? zzQU|~WmhRKLtRYffZ5n$)+l$r_{FsNkIQ28Y?~&QIo-_FHJf@T#i6H4rxIzVW27NYbjtMunqvN<8J#i{Yk+Xx2#Ly@qAl(CMoVouT$Ngt< zBy@;|gUgSEf%=TSEt<{77DH7@PttH!LV$UfS-<|Xe`7(Xq3N>en%dfyX$P1@1L!XeYQ2RFIzX$pJ{3=~Q^g z;r}-XtULia!#4qMXQd+$(=7cG0&sF(ALiqpAj>XRDYHVu1vJ)xvv-W>IYD{Ms}n9h zNYDR%tRn(>ac4z_W9SG9t&m+k?{O^T;1TT3SC=niFI7;FYmwqQo#VbnSKwLTKHBhP z{=ubjNYBS1dZIf#RU6-^4Vm=pT+)o_(AlLq82}@dG*mK=cA~3_gM?dNmL5J)y01zP zOr6FoUB(A#)RB4d@pJwUmzUPoSAOQ%vlf&=a8Bt8X9G}I_Cv4N zHliDSfqz!?PayOrt=>0^;=Tmz;TnAma5C`c9?Ee1jxec%vb+f#rh7BrlSL+ zL&JXyud`z*04*(WPv~Cz0LJ7WRy8oo(I~olv*@T@Em>fs)n%NHepp+8L&5>IefS;( zGsZ0lmD;?pCDNb+r8C5JgpVKAA+O*P%r2arI3AgJ0Xp|J;)mpq(Mc30K4SJAI_!sv zbdMZ|VB0sFlKaLBt|N%%AEOGxRXDBx3ngi{vMQ9mO*f`5SIq!I(8Yz-|PlT^_y zR9%|9Lx)EfYFxmnV|X(ZZ9~e(dRVQBY7Le3klVu%QQGzzoF90lx%TkZ6ypbtd0X=h zzo>A##A4e9$%5-3g0hMq))WF*Pl$&fR9QyPpgtaGazj7c7P5i6!f9~V*bdtc9<5!2(Invka{Kr(K26*V z>_B#;!4#cf+)l8bA$@j@&}Kit4=}y}Gyz%;&H1L=k^b=#?!usGx^_WF!apqau1Fn1 zE9;)5odi%@+lO!77SywLEmmU1h`Kxr{fK8_+f*PC-adQ}v^=Y#-u4}IzPhY$s8+)6 z_+gl{Wr%u?@WYa1O!j>PNT+?drvH(KW+C$i;s;IKvbDFQi z$>@g#r)WIZ3+7jgAx9u-9c>-aG3C51snX9_T{-;x9~<7*}&G z?GCG<-50Fx9@&-osf>YpolqOU_DntL$WJF~Nzlw-9GI^yi$aET1@~48JR^zK1Kk+& zFynY3`W+wh;~u_<@u(O|;xFc;Cffv`GcR-)khPLBma$5X=UOCBeZc+rnd4gj!_vk1 z2_MZ14$dy^b^bL!n*i)jdS%ic4lfhw)T-RTceJC^WYbQwq3MGQA<;EIS~l#u#1C`! z&?!%}yh5BTT=vo9bH}-vCoE0iM9SH=bQaq1`eyuVwmN2?X=h6K<=guPAOQ;p;kirf zHFjG_9({I|)amcHWP{mbWDl1IT4e?NHociwti08pNvCZgyk-YNLwYcC5T4u#0TBqu zAl(nT*50g3L)E1-k>M*uYWGd$(#-B-b7y1MljDuR@yp|_c2v7>4!~P@bg*bmYDq>7 z{aFpSE!j%!e#C5V*h;mJYxt=9GA&nbx(DUC-D0Irb)+1_{i@jGDW{edUNg*cQHjwt z(>s%iW@BdY;|pnr3y}rcL-;%%foQs zPs=*5;3-VH7X68bATybnkzs zw9*^ZwgjsfZ+p>o!l0~uvl8k%+-*=%X>=XaG2HF>N&k-KpR6Uf*LN~HuGM+S8R__D zcGCnBv1>8(a8nJ370r>Uk`wM9x>36M%O0Q_yL3W$*AdO;4 z?3GNBU32jMHJ&CSTCtX{`;;U=)tRi986iXKKZ1Hsl~Z_+X=Xl1Oy?@oWPvd_dR z;~k3y*9o=3EAV<8f2kdvPbWLyjTA z*WIqcrRm$Y`~@ylkMzA3ga}*GPY3%%+U{DA2D4JMp|lybhm~lr&ZGtkjQ$a^eB*Uq zKQ*e4)v@Wsem)Fby-!%h@M0Aq)gPsvNTn|iFacK;~m(?@6sYA-t}f)sLnkX?_*-iDqA1T`0hN;UyP(K>9VG2Gr5s z3^(O#Hrsy@#0zo%+o!dn4u`v@Ri1eglUe#>;ms+P8VTbAjlNunCMu4@s>0=j)9mPA zfFV%4JRcVDdYZgjI$Cgd4f~@!f;hr|k-J-zx2h+)o zb!aMc+4l1~@A1;n8Lb3t4*Lpq2bv6KQU=3b)D6xgGS>6}J9Y!)c{MgIKmn=Gx)MBs zvMZqnF5C?nzP7xaYc~`pyK2Y|dYufRKaO?9(I&H5^2AW59K6u-t)>{SK4%kUdT}s% zBa_V0N0IOEnr3}revFA(_vcP1YJ4=Gz_-|S$F%ty4A^_3256cPAREZ?ZRH>R9A~5= z!cwmDo3=Sv_k!$wv04umEq`%e-a7*+egzXh!1pDHoSe4BG2V*8|6Jr$Rm^1bvXs8AZb_}IaiwpQ=3U&Km4%l*sw#C& zx6z*M@a`s+@^IXhowcUA0$%j42WaD>K+nlBwsJg@%+{3IS?X~xAZR>AE3A)R^A0HB zTOZPR6ZYSCVtsWJ!o8hT<|NJFB@dTCeKnNu7oo?m;MsIFgbzZpe3Ar6*Q`Q^@^XmX z(_nV8B>FN6@I}VVQDJx;rwq*;Dp@hVq~Z&oHp75f*?rtI(HR4P95RXmDjJ{qP7+%G z*RwIygjdX?5e1$jL%}15o99_d+l7lPZm8&!z$vz;W6!voWKbXgq@vvh1`a#jXBO$J zG$^*Y zXj=LO!8rV-h4I-6Y^A`3Dd0M=cB*32Gq$=Tt?Y|{=Q(u}-e2xoR;u7-cDEzL+;`D` zcuN;Kb9OF;(bmjp*mU3^TpzCWuvZ&+EJ)nrQ4)Z>NstDYITJN)^?gfUh|&JtX|0KFa>240!o$w@3CgqSOG zFHRk64jYa(Q9{qz0;qfGPnxVJhKmJO1JDVJT(CG0owkyEeMRc=eiAtEOFi`z?ZQpD zqb%Y=|NVc|y-TPoTbd?zGOMz>D=-ER45mk6g1qN!>Ykm7cf`Z0MP1hNkiV{r`%m zq7(c< zBjT==d`SIL51CVGSx&ed8wcCGVXy*(xzi5K;0cW^YahNnK1mlN19xffyQb;4Vsq9o zWZt5=Q_r+5KS&7>h=pHTKhd;+?=U3hNA5-@h%>-Kf$cJ;IkG==4R6CEQ%>YqBl~2| z0)b56obrt{4Eub&2B&|Ya%wjCNuTm^asF;)xInHSnA{MuS52qSTlG5T@_MuA44tFN zt8%^&Z`?8-08w%Jo~je0)l3$4K28`sRi+F2FA|engkV`VjRJd5;$3k8lT*@tfW&Ee z+Ywjhd7QK!DKr_{>U!VI^OKy|Zq0&2i8DnVU2k}({{y|ubI52IzfbHoE&p{_=7SfC zHVsjtMBzx?w))(j6B3de4~$A+bp}P)Lvkf>E}XX0uGYncwthz| z+%>K2mbO-#3*7TFT9;3P;r^BVlpk?F@Ae4z8t^|{2}4YYg9+kfr~C7lby(aO!EL zGg?0K9s~}Ft-y>?jh(m7tPApoy(3W!SNK52jb?O0q%R1EI8%6Xz$HS_(+V+qPIESw z;~@PR#RzE$BImq^;p&jX96+6;=lgP2^N|9@>luJD0NeSBAx?l*il?Ke?XPCEIRQaT zcPUKB^y-UBUEvwYswr*pKs?*DR|>FpeMsbd@CgzK(ESHo4h)@l*c&4r$hfm1yB=Ww zQ-_aHmf=yMr0KayGexRjLynRI2$WX7x4~jTx1N6PCKvw>YJkfv~~fe2K;kz zf5giTnGstoJ$GjG$7J#~)tAk7z$ zVE^rb#)_s8t|vT)fQrO_5y)%9F%zkfomZ$En%-&K8v4n zO~TWFmRZ#`G=(<@?nN_Fk(Ig*!)P28I!TOA#xM1Bd~e+t;-f#CPH$zUi1>9*@J+!v z(tsqLAB;CA)Px$$Mhyf2)&hWcrE7!t(>X^rQIeOw^nx=X1+z(5rB({389qo&OHAux z_{&}2;}y@kM~f2TT?Y?!BneZiR`C9AZ%p=|j%O5n%l+eb?=<{pXh7S%ZrTZOCcWEb zBf{}h)qi5glg4trPb=smX2@Cy6+P1Xeb{q;L2NewFCt&ie%LGOQo(}|KhwLqrwOI? z-&90GFzlJM2gln5X`+>r09S1eeQjQigLt%;aB$z%`LQ7ulYhse?Acp^)s3EDED>=; z$Br;o92tYHQN7P9n!lE{VR)|d9f`Ehx}agyqUb~$22Ym@Y3@?1E=46^fj&0?C$xDB z^gGhO(=(|tBR9I2)qQpgaIfOIk75Yp2ZSda#)`=x;C(c21HJ}eG}YzC^t5y`iK!-L zT*%gn-EC@ysq}}QN6rl5i+kSX3@pz2f-Aa!sWi7J4{EPYr<^tbarJ=CnsgXxE9QU& z#w~+-EZJKmrJIHx;ZPDC!4p3ddtXVX^(W#=3q6_X1ktr~s*F8}`TI0%@KV}dU1eLT7Z7Q&oB!GyGPHqvBp}^($*a^rpk%Q@K z#Ki$DF|zz9+vBat7?%h=m|7p$LQ$h5J+)a;`$P6%cO@JT8l5faa%?toK8-lUbJEeA z^s@BZ)B|&8Xe1-v=(kDFiZb0Wd0hRJkM>pr8`AzzKiGjsUoIO8$G57K#gD;NQ&Atux~bNMo?2>XNQ;K1C7EL6J%%!(UCz+I+_)dp zx65`C2br$yz226~MOlt#Qcwotax0J?3(j9Fqe*VGlFG3;Zg9h@^6lZwipqGx$MmN* zUqH>i5*>>SDR^{$YW+VwgcE~rlc>s;4R+gP2p`BSIjsOYR>`rVua6zQQu#>~&kVoF z<_+F4Y=d&s2>&2vleo=2uzbyb+=RI1I9`P-KXRftOpu}`S_NK6V+lfk#Sl<2j8Md= zg|4?sJPVKp&3>YfY;VE!ohj3R39I%sw6BoKcV3bYn4Aqf7o_HLM3t{rtT{6oiug>x&gv8#@qxeKX8#LG^IHcEGhLwE4Qxd7l+NJ zt{=xixN=hToQC0Y59r&}i-2awi2R`!A+h{Erzvr^V9;p3(R(lU>B4kZn9I;fsAXcM zF~4Xu;xrv@yo$oq`rqEYdq=mz91y0c8g_lCRB zAdg3Y&WbtRr=O(X04OVPA`<`2mqCo?@a3NYRUqNcA+rt(E54S82!0xD6NChal81_F>&fLy7*vw!_X zLG=U^tkj4o;MA{@heK*5j}elAB0CU5X8w#`QADu|Qa>>ziZh;7bO2nVKpB@b>w0s*i~217bkkZPwF!hum(7G8CxAxiYzc)yk=@?{ zR5g4=4oWNm+!~P;Ix(Av_{#cpJxJcd^k$zhF!*UAM|4PcL)CN##1FMi*VT$RlMPyH zsS4h|yKCTM)7X5{T&^BkqROS`kFl`J8%uzM!M>>!aR?6*O$SsAkkdyX=PqX>1oS7# zX4t_6g!~m}$41sSN8p+J?Y!LAoD;hc?>n9p&-%X^RIL?g!(;U z;IryH{=H@B{;u9=YhAOR|Mi!^3vd|1u!cE;LsOCb0gkaG$cQ<+=@2x(P0kf47x z5O-xC=T)#Y0uGs%`|8f5l2D2X2;Q6kP=a?%4qU%AZ1Xnas_R3CsG_1$L&wFH@oMl@ zp?5TTx-iwJt1kFvUB9L)_swpA5@b1GU+V%K=#tdxF=S$^$K*{)e>%D@ZHVJ*Yk>^p z)ShQtc?>UR5`l`JiKRJa11eP7`cTAg5l04&5b4WZPSV|mRzWhM0FW;IWuV3J_?GaU z)?G2+p9srWB@^U7#AQSb7@h4+N3u=>ts|_i*QG`23)q1q<^<#|(%?Ztg_Z?DfLC=Q z(L+X}Uy9`~1ddH8oH$KuuWGy+jXNuB?)_Y1EUvl;UzwB&r%p>RK6FwSn%w97#w>-i zqHv}#sX&$`W5J}1jS`SLpMvv(9WIpVJy3<~1^^MvH$BZRaozuvSSR+(h4!uk${a*X z=+ofQXL4%TywybFc21HaOgJWbub*=bE4xWzLLZ?R%v$K~^MfPiDZ1UG$XbELFIvq? zU5#sbv*%if^kcAe+SgA?a?^Y*)-5Sda$3!|edt*$A2$RsSWff$J)J|y;T@8glp93p zls56{wdRl7uIbDwI38^9;whVa}R_vm8S^(`hCec_Ybl z!KtlQ7ScT+&u6n|99p_EiS?qvkyMsdcG>CY3i)Ogyh2SyctX)6$HVj>;4m%peO-{1}}!3Gv5#&cdX#Zk<$)xiua1u0Iz?+8;F>O zW97i;1S_E;I&8BJ9e@XU>>z;wZGmQZf!GYrrd80SbFy;=Eh9!Ne}VfnB6z^E_4B|U zLyEHv!wex7zKhtnK7yYl=?UyMPXhd?az*3k)g&qA$wa6K)sTHqI(lCkILDPxTLYvN zN(GKirfVG9eNJQ|m?AmNzMLl#%6xEXCP@cv&$=tcRfqmr6AgM~o~tK2d(yxDxjNWS z+HSkw{9`J4!5&{%NRmP9M%K@8jQ4^!EtC<5&PHa1uk1sW6X(}fg~}T`bS*t4UDpCs z_VoJa`Sa_azy3K1FJfS;%$}wxA%;2uYz~|l&Kf9*4g7?jrxRlO z>6kM6N%G@=Mfcj88bRi zRcJHtJD$O3O-Iqm>t~Zoh<(a|TWYO!!H!UUJ$L0J0gb(R{hnBA8vzTi-#zOWdtE$d z^n{n?g$*_Azm0z^_PVJGPK7oh6T^;iw#Q$0dswi~_TY`g@U(c>_#bPl&_9~ek7F3v zKrZxF7!C8T$jK?!VqeAK6e{?K-Dd$5wAbPq(o=|2;-c_UvXA<@>WDc);33Qal9&ux zEmOMwi9!QzbePG6Ci2Wi1z721Dor6wq|fQkEDXQN@DNTq9byV-(r7zP+8l~PMdLFR zwzaQ{9TZ(-e^J=<_z5W0NkfZ%YED03JdouMc%oU9&t#gNTI z^#~Z$)c+tI`#+Q#Hp|NT4}WAZd?6+yj>y15ag2Q*I5q)&5=)0A=GK(`2N~1BV4V(u zL2G(wp;^MILNW^WG&j}Q>|*M9f&+ZJ9#oyvdcmZiG&sVgY;w%L|hAU6+X+pzu)xtWUtP3iP!wkq3M&Z?YcFNRVW1yYgTEpU4ME@PAUB+cKjFheOpYpZs7@qD|p zu;88GFAg+@du?&9I9o!!?)2#2rGq`lSK`w~l12^JQ#`sKehR=Q$mv_n|3xwaFj2U) zBG08g@QCLu^zAUFn>LK?70GxP_#!kAGFEh~0HlkkXZkTg70>p4*XjqhWC3#4;R&)MH1rsEEy+;v)zZv}vmd1=!!uD&qtKw@C0mfzY`@!Z$~4UlD7%s2>bffjAYVTt9KN6DG(i zOLf_+Q0KS`cFWp+KY%F4r)XI_G%3$F8`*(38mA`BKXJ^}Q`YSGRG$d|Gx$_h#Z^F) zH0~~DZ&o|z{C68VEO2^R*7xR97oa{XG+sRaby}6H)+1yF@X9QB`O-+(C9t{Mf z2QDkDJdb<8$y1)i0T6jmh{ZM0K9lbAr-Unetiy8Sm8op-C#hOHe+uGosO}C+cUAq4 zPDfgdhsxf~%It9@=Kq)cxK``4b|$0cw!^EM|0}(PKwEW^Z~T=5h*bIqHd}y~T1`hn z0xQj%Zrvd&igh6n!nG~Jv7-Q@n;CCWc-(!cHNZ3;-uT5sY6B1SPnf_70%J7P{fN$hiZ}^!f5trof4d5sW1TXJuWJxJ^7M(=8O1BkTr%<7|)JTbS?|XqL z90)G{yrzFX6VHAm28rR%zWlFiO6UZ=_>jf}P|!S8y0BjuPeuYj*2L36#|3A|Gc;1b zN07BrQglx#$@_ai>ST--K7Cb* znB&olZ${L&QeclA5id=*1l<=`B#m>A$_g<|O33}L&bM1N2~+Um8R5`MQy{&>q|01? z>FkZvW}}P{YU-H?07MWj=*{-W=;0U4hL{o!_UgdyvVr$zLvC`W?Qfv4uMWq&oOtxl zs6eeN?h2f%7aL@)w@|r?A1PA0PL|*^i#j$E&c+J^KJX=-GuTbIYf}ez5<0>f_EWxT zyIOzQ0qh;@O&gK4;ZqwCl-p~K)GphuAodlSd`{qnY|~v8o)h z)o9}D=pbdsyuLc2vu!p4BhM(&L4xl^>|jqoH+CUDe)nbTG=>4ph8fW?p~WLPuY+p% zysxk&Xa^gfBNHgKJ9{j>e{As(-=N%q!TpI)cPVy0qltQ8e zou4BnknBQIPz@jW`pAB|2U;H_cC#e{`b)2aNhX4!tr#9Ej175IPgQL*+xpg$Pax(; zB6Ohu@RJUhw%-F+xEkiNK`;RuqU;ZNOOOm@8F6uc4SPKKu_-!da3Jx&q$%&Zsaq#* zz>yzY39SEvBuMs+gVz{TZIj3WN3lr)e~)T6i{`LI@_CM7r&+IH`q^%r9!RQfx+6e? z0MxYOUp%^rY0?fP^5ymzFKrSfH5(hQ8pKin#nYl8_aXmdEGI6PZQintgPpFS<>e%Q z2UP-TbtOrB^0PWr#KGhTol7CxKm{P}rsW0HbvRWXa+{sa8g$Q@k1o7(t2$$^+VN1PdE+x%+Nc9Xb+Hkj`5mb!Jn5ey{8g z)bs=D)tBG=<$?a^`1J5xm4E$Itsu*Bt;y$e71}(r;=L3!=0|< zjkXW;X3%U$7KwGuzFOzkt+v>=J8E>}gmGy3u2Ww++6QR-Wj=V?11p1N*E9g_I;tas zr3H!Qd+=m^;gOlW;=AJ_A8i z?=#$dlbTJJt&xN2Tmhw;YE-7Y(KrJfyJ%my`#q8XF)*-00=&DK{Pa5s&hW6J&Vz<8bN9Y=XwFHhIl!zIg0n;~|pI>FB0ORsh( zc`Z1qVauox^^R#7goNk(U_Zb9IavPJf6&Y3_4nP0@%w5h9e#})pEA8qTo|}+7XVlm`v)r*= z(DNRVQZFz(1Ur0yl4pO2lLu!2{N#@LUb5)eMzVTSw-V}=hpXe zQdbww&xKJ?r=GWknb~*+prr|gzeP+5R2j}$vL7>?DC5`Be&)2|!#BL_+gumf@Kz;`zEKT5;330;K)r=tW zq7~b3Msi^72EU6G%DvRJ0&FWPCPpy$a%4vn;CZ%T9WNURQXT9)y`8MNWTj?@g@CE> ztaX`c;IC04{zF3W)H9u7q$)q@tP(?5Yr0>;^N!>xfprRYK2I~+@)cDS|x>t=oTr|;g0c8(=tV8n>X#DIIEv8&_{ zRjj)sySG|k*fYdy;`ukex<)_uN!%2{WMiJ2uH;PXR=%|*Hobsv_8O%BaUO>*jS?LTh zG}AwzMt598P*QA6{b;{j^^JY$xZVyfYP6?Ok#4tr*ABTc5M^_x(R=lw@|Ky*+2;)t zN(Y?!Kn(5AOu#6K7;D<>UrJN-cz_a~V50o6ZXpK=bg0$&i!0jS&~7RaAkH)r-Y<5^ z`in;Mz-k+r5Nu-mMJ@**TKL5( z4#Ih1n(0bWwzaSanB66pk}5CocWv4$Dy#r0I*n(!wb^wmwa#=7q;ce1yVG-Ii_Pp> zY8XQ{@q--)-h4?NhRJ7jll`Ri3msz3F_{qLtL^{<*lF=*e}SH*%r$qKm?>cV7(`sU z2N_F#ueRGEAi(r2gNmoWc;0BkU9lS#9Hx-^$Z243`b-79BFE~pqotC3;(9a_TxA6f zL<7O<*dqrW)V^e(bXcj3Pm}1*_|!riIT%|eNh1hZp;w!Pm)BqX@BjXPe$aIR84J6J zU255_m5Ed(O%(63560`4bvO@qx?NOVCKbmix4m!rPhXK-Mvv|17lHN;-SMR+PW&r4 zfC2ql#w0r8L&@-XPV^0*mX2?S#@KUPnSBLXJl1!ovT)-v=ipUA6geD}AmkKgZ4*6C+0m@V<06*8ca{^U* z+u_*Dh3U=Wh-29zG&Fi+#bKwpp5hj$CcOXfNeE#3W(p8V_ZH?>ExzbULg-igQmGQo zS4Si@bH-n(ut%Fj*MRYtTM)^z`gzRo-BB|X+jTR2?umxY0?=D9-owgym!h&i(LcZ%2N_~2A^kLWRa1dq zMEeog;*C0ePy7%*5%A!hRobhktUK7viMYv0pF$W4RwKm4by=Z{U{}x$>>k!9iN}B~ zA}C1pp6eq(HMw0%8FgB~j--j*J3msP?LLm>((;`j)r4S!izn{k>I6htT??ALi<6@|#Zbi<)GfqI93)BRcE6 zW{EIH5-Umhj{JdR<#=8`5Y@TRD{~SFE=MRM-8hUw$BS=JNahs8A+=8&HYE`t`L~zc zAORRtdOOd`k#rq1f>RP{6sLwnv>*{U3W*2r zyVWfUX%A#7$%SrrAPPK52)eB9xf3K}Za%n80ikO`Azn}juGiC>z?Y6gh+|0$dPO0e zLirjE_RUU&Q6dRGuSmoL7^&G%_ZKut+zAn4E&kp+$q3wVk_<2%#3D#j{tJA>9-MH@;Y>=m+~!x=CpfuhmKN2y6pLT-bySEgcG=t_deUSb`< z1%PW>uP2Hc+-*V+nSVHl(X)E*wG!X5TUiMNStPeFtH$)bl>592T$vmcm?}J zJbWu5`{PqNpdEUC>aTnsW)PqPK)-8?6ArPrPprng45WGkDdT0^ta6zGj)rrhf#m}m z6gGLdOq$Ffv`OItYCPZ}sod~Z>Pdu_4@l50O%{jO)Ofbm;2srH-8lm))doR0w2(Jk zm3mr{|e2GHu8uMo#ij8&A+cTHoYorY3?au<)76+P?9v6Q zr<+;<&_HSb5w{O+vS#p>**=*r=F;QI&25dQ#A^I*brj zaFTX_`Og;edb3^mJ@vGp1cskaMlvp3GFZ+SEDvzsM#|NzZMJlP>dA#xz$hxl`xuM4 zMF-A{rJQcHD?g{6ScFXP^mKQO^u#JJk`@cyR{HY`F@mnmPihb&g}VzpFql3|R>%m# zDSPpg$hjr~XtojyAF04lN|1Tojfb3u?;Cb#W!y5vPc^JIm~OYFH&joFv#Gm@qiVJu z!qvDrS_5%MGl{x!3~ZPY*~tD zb;z45eB}kzlMRqY-19{Te+CpHJrQb$INI3`oUXEg7o8Idk@}mMI95#o`L*2SWlj|? zg}z#g8v{22(PGrFQaMOUhkFX%bMRFW(#>KYF4x!eaxvc63K?Z4FZm)ivx!mbBW{@* z$oT9Z2(G4FX)@=dl~Sdd%~U-`A8gtAY2l$VR0m8s$+X@YkzPb?r%c-D|zu>j-SoW|J_c~GwE9F3BUUPH3A`VT;HvqL zE)cIRlf0&=UjN~S?lU&?F#yVAlBSMt%?x9#Ju2-N)$MjtEat?_9(4*k2z|n>%^A(t zh1LgstdMAl%chSZNgturN5iR19ii{4tHLyjq^H2Gu#iU?nqAJrEEqFvYUM)iV}L+= zOW+3-Fuz}aK`TIo>fR!Dh??7*gDzWWFdV9y1fQ@*KsRlBNRpfs%eu2DH3uWVw{=Jwg<*kz#P zj0erBV@P_3${^RtkZRCiqcKnKPJyx9)S9Qe<~tEcz;#W`V+NN-Kzmqpm#7QIz-W}0 z3dY$fq10;VxWCADbV~S1J|X-1tTEU6w|^{>@4$vFl7{z+9~V%9*O`Gt)Q?S)QC|?t zu8T=N&Zcsbu_RCjZ>2yIT~1=ssQSRPNQtShpt!aT7@2{`1;unM$SEmWbvz*w<0ATh zh941~in|(%reIQUwH_Ij=TOvJF_`;}v_RfiG?Jn&Sgrw6bl=suFKDN62Tajein9Om zt)im4aJ{i8J1EZ+g~%Ma{#b|^j72`1VbZ&CzrM6_~g?y)pp0y=Cotq zI^S-Ge}=@&w5Z>96`l~*VX$K0TlqgJ2;Y_xSgOsp9gGN~CBOG?O_zqrjq;h2-&&%O zY2G_od2%+?82)SiXZ@EydH3#2H@!30xEo!&NqWp7Weoxd+h?1fvZ)e&ssu0$+Mw98 z0d3njXIu1dfl*1<8-UCZoz1$j-EUSa`*d`|$b%E}lw8`A!^t$>HiAA`wT(mU2Udq3 zb5Rg)t50j%?s%)SygSZ`rx8PDPBa8jPrQMhE7!Yj;9bsosX0Mv%*o_U-b)^lS}^(=R!bV?bKxLR_4yU-OCU#BFUKM z#O*0&$o>Y7^t`SvOpVC|=58CP0lt5n&?G|G?I2+fW0uUSHsFY18`E1}D!!#+CwglZ zqXb5ki2@+Fnn&OSwbQkanV@`qb5|kd3L+aOx`1Kev&>6c?Vuk%+d&|GO_=mEK*NxI z;1=;H3_V7T8i^-&*IpFp>GceZbILQ|k3xKSXIs(|#j-73qtB)@C6~zUNdOKp<4z4q z2k*^udxrc0yM{b0cb6=U8K-Ju2kXgBZueSe%|W{D@y>GP4O(oifocpBBfa6HE@QX{ zHb7_OuCD9qEF^hG6M3<`s}i^8!;4%-v>NmXqD)>bF2zD#Uss6x4)M7sp!0ioz zjG5NIMDj(R0UN$WA~@t}togsK!?|i~V#y(KG4NPf0gFCd5f|Pvj(D$S29`g-#^}a7 z>EZzaHpFxwjXdotVgZvlVrvFJiLFr=!LMTvnd<}W;rvAMIzCuI9HhSU+!e$Nh;1Ga zJ}Jql6CxGypuOAjK!NX;^udafRUG%uoG?!o3;`8PC^WbFA&)keX%#&X&q2GLj@`wk z?E#?XD}tfR1Or1*!BvPIA~@UHoHVG)26(W1*AMLmLL!pBsC7{tXjzG2e^KS@FYHaX z&NpX=6RJ*zELH%?=h!n2{GzxI*0w5<_TZ%9sM`vB*L18y*Cg)hs%NXdYh@M2@UP^| z*?{!`()W}SGN&Mlyk}?l)OimULfvoIxV2Q~p9g~$mGJ>6E9_h$5x%`+*z6=+lm{Ys z7~ARu%&xWCVNW`oy87lE+$Z!WKmI*CxVzpX-A^A<@7lvX7XNMk0jV`f{t~}hHw3zT zXpGnX+#%hK9_gw1;JT{^XLNgqOFB`CW~KlLw<4 zkRdI^R#MlbeB=BMe=<&i`HC|vVjDBeeV?yfY$det+ZJ#=v^|dYaU-~R)*kwnruY3q z-X*y>ss5hhG#jyIGU(;L`jl%cZwij}%F9{vYUD?lrsSneiX!E~@VJT%6(=kD{n{3iEje z;B9R{5!sz^-s@Glv^i~Q#@ijhF5a?_SmxIJZ`nN%p_{)1GEKkpW#{;e?3xKOLJiPu>UZqX$% zDj<2+I3~nVGgr^3u;coDMO#Ac(Z^akVL*P^qR4Xu627q=vmTX!{fvJme<5mGT8D!6 zR=2B~oGA$o3o=z|q{D08B6N2^CZiZ5R3f_lskRs;V{jxmZOg#^GlT$J?*$jo##i;n?Uh zTNCqSzt=~^wveDvvI~(PeBn%EijQ5f$4z@{LJDM{Q$zW8kF zJLXvi*9Ez;R0ch6&qCBDF&@G~E<-nOOxkz_IjHlMy}SvB;{?EYv$*$&4S^6P%zZRd zdL*Bq%gqBv|6FD;7{u!=I+J*C49zC5;`SEBJ0f2O=z)czdy;)hG z7T-jEBRtySr1gk#r#Cp?m1e!rEX}?oY?;(wAw1AB5T8R5Ac?f&)+C3ZO$%SbRgU41 zD|Kk>hY1;gPJ#?FYn6cf9=tT+-ND%VCYJ9giXCJk<2?3sD||a8lsFL)+G#+YA;chO z`HFaSeq3zn8EdS@Nu1V?otWw~3*2Gwj%inbMLyaRHnZ32`Eu5RSX6y7QxXV?$VqrC zu-@$za+mf*j#Z|`#X^QPZ8&gJs+FuTe7*XT`!yXb_xu&@x2ggK09zB6Te@V~HYVQh*+ z_3ex?z`9dEE0TnYn>b|93i<*M15z~<(QyP){qu-Z);Fi=)!fEVJL(M&w z>l6A;@*@atb+0I3i8aFWqixQAH_-_A67fv}`JjkcaTI#82!QuPhTNW#8N~V&(eDxK zCq@-S^5{{YqV!6tkCJ77X1V~#^~nt_$UKVOkNk*J07 z>~%qnoKxww2@|DDuL|*HmQ(00yRw1&IGbtjn%ZCeiAiNBZ%(6HXrWcNgZDKY+VHVO zpfOd$=QAAxFOaYI$aU(4{KvM=p)ps$ zHundB_M*oSJ@aV*(VYQIn+@Iv?qeF;srwj(!5bZ%R$9IH{l|Dk&8!|*sr1z!JO;C_ zB-zSN)A+5vPUziS36G{YfxnV3Y0YSlhrAeRoP5y;tU&m8;uWEB zkHgh(-%}Tz!j#kUxn_wy|NY8;q=`xCqz1lxM+Iqfg}-I_7#s87p^oftlPNjz-t^f5`eQsjBVg7DqI{Y?D+ z%a9I2im|6YZ$T@P1Vf{q=Xcs0)D{1cjyj(-v&k3zm%XzJ9-}0D`_LiND@H}Yog>9WIqqeTzG8(n4CbRJ6Ly>-J8B_IBHb{f(YOIQD= zf4TQgVfPF`*P?Cg>{^268m)WHfc zCnPU7d*r*q&N~q2X3>{W<$&vlVaN~ymuQ0E=7hNVqXp#F}R0HJEzxw zP}ptVA?=f;j!!lOm^J3Pq4%G}ktYqT!3HvM1GI%1)iom6ky8c^y%kBS#MrXxzZ?Yp zvBQ>eE;{8eFKQABN)1&l(IdXaPZc0tk0Rlx(UQ3paR{UJ5AiJMa|e? znEPp{HZ5Bv6BFGx8UGV%0r`uQ*&koO=WGwKAM^@MsJ&@biG$y;5&~_3U}!+w=$Gxdw5o}mVyQ!ej+jKRf2u-`sfr@PNN4X;~ z2w5(>nvij~3{ztf--dusueb%HY>@S3s62nT1pCQJ+=7X`-^;%!RYqQ_+xC@xF zCms#`uV0TiZO(=hN@S7vuxQ)fcbW;0bx}!-}>`vPLw$p36@kp-PAZvu`J{cHDp`3`@gemp4DbC*Bum44r zBLZVrzJ5=~1MJ|2_Dc-~`I;q?ex*1_5UzaqcD~hExHqR)3@lCi`YU3Ia|_1R{+ zr|~wPt^Td$I??*VEIB35;lp0aN!Ao6(;JFSHu3CYV<6TiAlu_K!(g9jKteA%Uslhy z%fYTgkx9q9x(U*nQY@`EJDG@=Br<}nN$?V~sySe@;%O-qzZ^~58SDlt>xzz(+tUim(E=SY^gHIq z>A^zy37V!^HHVCK)fPYPjh)rq&Su|-S-%Xu2F3z*(Vwo!Y!SrypI)xx=Ag0Rf$?ud z@w4KrYc>?kw?=PTA$IeUjW^+NT+wstTE|W|vwZ-~3^g#$X3$g=w7am z8Hv|$&8CO9?lRVv(tCDB!`5jJ)o=sgiCumy^7+z7LR5a4%!P3LJL+={Tq(HnA^j-s z+Qy=Ln&FUppQc+B&nhp^0&+YK-9#a*)#0G|nx&yak!~H$vkP!qBt;bWlL^6;5gl7r z*xq3d4mpY2FL_lc3lSUz{M50ZSeL4e;`q7BKQUQh3qrVc)tqu~xclTmp}8Z5s&|ji zbR(%S8>>0cIq8n}&+IdubvX!&UF&&5oA)A{nut1=G|^{grJ#q`IHa)N5bvQ67VGi~ zK#9njZ7#E!6{-tnOaKNf&*Zl;NYn$gYg zT|EJ_<3D*3E$Fs0J>Gotv2y^qP+SyToB)P!W}D&gd|7n4zz-2GWQidR({QH^-|1_- zv2_t+!@(+@XycLflM~XZ5_|gA0iF!vsQ5ad2F?fsDH|ZykM~Xgro$luDW~!BRHqhs z#>c08(EP)Q7;x=Lx0A8J|nWk-Z&<(@QLY!a(rmD>skI&Fil1+{nBrF>HLCSfe)ifXy{QcKVgzv@q z1u;D%y$k)6@cHDdLUGTpx3Kf>b@2@aSa#YCx60*QFY^lseUB3I><5H)WB(L8MEf}L3cD=vA7{xfH61ix?;^u^s8SYQ&1aA$E$%sOGKCW;< zB@|U|)8=qPN5<9MZi&@<&UbGQ%UckN#$k!^@Yog1J-;y|FP#&yKMbimY$Q6MLJv;- z*>M`$v(8(gJ;Z+_m3cB7=YmS9^Mc{56o>cEXUv-uN*5c!1T&uM%jT`2l2kDxL)SYp z+xPk1aUH<747tDW?@E##=0x1(ND$*lvT}38+csa#8Ku;ofbFF0q&5BBJd=oogct6d z&|+ZGl9d1DXKt|_{3WSi+*EIE%^F#R;WtTZVR-|bRmy>GZ|s;iraGNbiJVPEcb=rH zx7{!Q3)3?t6wiM4zWguipZw_EyIOqBMCGT}bXDW#Q?0XsQ)9KW7H~E0^y*1t6C_8x zlZ0;}G_N>038JbwpXv{-?!oGMBH@OD_Y0AQ*1z~86P(IxI7th_i2j1cWRj}u zHJ(rN7asBkk!?oNYhMGI#eoUEM@C67$)}S9thp;pLz>ths`kO0Y(51a{MCb`(xEdZ z(%6S|UcwC?=vhaIXu}COc&MvrSr^;QK5l$(4%a**w_~10J&vr%9AHuCn zd$AvRroGfc^a-~YOF$G&X^NpG@%6~O=xQX3KSytp9DJo7+DxMrO>1J>OiY`Ag{yQ) z93y6w!$el$jds(|j5E4D&Ny+UO@C#@X}^J1CO8jME0AET8;j_@y@>Ixv6?;Pt^C*w z)_1LB)i><*4P)1$Womx8reE8$E$qHI;ck3$+))%z^Qmdx?VI;Gi6LHw!j5oYljwR& zVVtwSS6Ab1s|(U_^amyhR;g*tvwradkkE|Jm$gUc@Vq|f*MMYn>XDHZ`8C_XVxK{v zr537duF6IdeHTg4Wb8STPBnDe$YQj3)2|se1eFh`1$zh3+<<>By5mpFg2RCboR`&g zXC!11$%i>5YV5Qw-K-`X`c+C&Dj7MFNi?C7k%dq>mi4vO5ZG zOw3m>351-&7F+k)iHwYGPPhNt&9}7C8;}!c9&?)t9 zXAk+-;@=tPccsR;qqw)0SjVl#M#BNv_;!yX;D>uq+zpD3z)`+EWw-0@{?WzTo98tZ%fXBy2mzl9S68|MD2PmdJZwynRpN`p-_1(5c z2#32JxE>QLmo&+2a13q`6`!&CArsvTR38B9XfLIPQXC+kP=?cugJ7hp$oC{=I`fW? z1Det3M{kV?6GKO3y8wVAGSg3w94pEYHO0z!5awyH$9W<4k@FsLx^N6^zJ^Xur2l$S z)f&+)ZuSDu?);ebd-13?#K1M2Mux)zic2Z$wCKdGS(c8QZEW>nrrzzQZ_lw-#zvy@ zVw;PL>h?k$ssVCw%zyg+-lW2om|8ZxHK2ODu?_$(-|Yc5(IG=u+aVsC##3;}hoZZW zn2_Oay3t2xJYch>oKC0pZ~gcOps8-VmzRtEQt8_dc4}}`Lu(!kLv6u= zbOs>$4R%C$i)1YPMuv7OHzbC2=~ekNJGD5y)m9Z*H6+nt%@7wG5-s+n@8nLW8d4PK zNMR(Xu5WQTg3S<1Z(@MP3M+u29xt|1^{ugjcq-*oU1E(-j16|pjtH+4NvC=?%%fd{ zIdWs_+l6g%H|j@*jnzGSrbIC$Z@ABGmOPk%{UC`R)27|GY~CS=FI z#5f&m#JH54Ig`5DFfBlUd+yH)q+j#$92J7TNp~**!*>UK{IUO3^ZxDH%4~Q*6tY^8U zD?n%9?$0plAhT;N2srbmzi)GtqnmOAV-kEvI8$H#`WJ|_L0+WS?{#tihoU!# zn2tl*K|{D2!JDmYP9y*+%KE2&;}4ft9a-~eF3y~(0t*Ud3(CwZV6Z zp4>}OJ;V5OBEG;D74w9$znW3@Ksn^Z$-e3EZdXYzSA+IL|Dm(c=0{;R073}Yv4W0P zs|IkMct+MIvR=Shl!GCi@PKLx?Gyqv&a5|*tXG4pwV0Qu$i~5pbl?CqkdrBghBUMT zobTccX!7?h`?i%;Yd0@vx?$LP$-Gb_?#-NPhz>`bN;z^&s4C!a`+3N;K8fG`UKhCg z_bgf{8!#K#)T27joe_>ec*U8OW9hD14+}>O#B5>@91JFDkLinILN%FDjfrX?Ig}HF zDJuC{WHN@uD_ESUyUoGb(XEbMi@45)8BEEaDPg1|a?Pxr6mpr*X_f_|Hmf+0$uw}< zBQwZ!JI^O&pqkF8CPdYbIHR&VW}6--Wk(ayY7RYPBdo?IDM#oVvxQxz#<53_A(B_e zeMa>H>_dx)uU zh=Rl9Wkz+dNBA?UfZmfGk;2}=ld9PK!qskvmQ--&~wwa$;&?D zIAg8mjm>UQy)H4BwUuH30c}Gs?17?%;ivg1iKn+4ny$UhkF&SLKWiy_df=y}j%{`oP$WQZ^3qUO4tOY*rw9Ws=pA3o>KxPw*)v%_Zan9A^3-c#& zx9i#O{TIjl6Wkuui;vOS5<}P6Z2yHgT0_P4RN2RFx6>kp zZ8aF2_QKE%bo3T9?I}%*^GN(5TAh`(XJsu;hVlPFqrQ{ZXWFP2wVyY4R4r|jv%ROT zAQ&6S*hq&(&)a8OT-3a3GPu{|WQ1dh->t3Cph(lLP;I_t=!YC`<0Cfp{ZUH7E7k1J zta1EY-K(}EXGZQu{qa|OPHZu1Bu@qO0YC?f{M5__W%CnF1q)X25Jyt0C*r#4=5($q z{tj*SrJEDdqg@X-nGe^1$il^-MbCr1JSENZ;<}B(+n2Be{uK(l5|gJQJ0N&bbYeV4tuIO+s%fam~CYpyj8L( zoP>k~i1cg3>V9nt#3vxfoD5~Dm>X{zCv_iv27Y9?jj!!if1+Y;JQnjjb#PLTiqWVl z3G*@3=Ec@eQjCbP-`dSa{gBv{GDNj&_npBX1}baGMbkBN1NLs<=h$|N8N} zcf=$icHL=N3TAM|rmKH)3T%vvg;z!sG;_j*@j z7w@n#bdFyC5i4BH90vUydRKD?CCC~st_F0STYvqYI2p_WC&;9N&v1}|1Z4=Og1Km> zfHjv_l<5{G?&$#Eed0D*nJPn*n*dJpS<@5rrmIYU^9()Ad#X$QtQOG)yvE?#?Oo2; zV^?b=i~XOChVL4lEwoT1(VnV?{rsGAOT0$Wt*t`$is&_MeO%<869mob7FhB>S36lT~OxOlt+jYEP_%5jox0zi4=0l){kB*QkQ)XGlztOD0XnmqdXMV#8Kn8 z+pLRgFVI5@Hkm^*QJgxP9>!xvSpo?VTba{MpF5BgLSR+bRG7OmC;XE?7Jx+E`~h@n z4;J$A6;*43C#v^bNv?)aH^E_-I8gW^T_(Dhb+*M2eJBPzn0c~Z0@-8ZEvVt)0;o=l zeZ^`^f4>7MW zd?_G#B16;!>#kPoLq0SxAF)pjFhqDp4~Z^zoNk2<6349Z*~J9Vz%TYU_GJ2K?-!iX zUVagY{RzJD2R#gBJ{uv;MzXSyD}Z>COzn{0kfy@GTVKtnq2hTnDiM~*vl7WDhUhpj zBwd{`@R&KcTkwz#hcWF?j0g?n(iyp!$gL79r8CV5(ik2GkQ=c3&DLjBtzrY>la*|BJTAv&5T2Gcx>a z{uq9xbN{Rgh2%)YbFz|0*&niQi(G6cydV$GM~7pY(_r&BJ<-Ze}Pi8#QXn|TG!NYU%5q;Y&F&loQ`hD zOdVOxPwQ#AWTNe;MCj}a&Lq^n{wmAyJB@Zf_NHZ#QcrplIns(#?{!|%g`JsEFlDIc zb2tlqqysb51}NK(9&AiZUlJijE$_IGz|dcVk`{Xh&FWQ0Q=0FNp7&g>iS+;g{BnBX zM385OOkK5oyzMnDylKouRyzb z{qwSwK6bRwB`3C9RAA=os{Cz&0(^Bn({2FV9oQ6i4nR2zyR7oM?`WyJ&7N*E6bzky zaBJMI#J#kf{(odmP`)k@_EPVHXDaB*k{M;`2p^K0oU26Q+=u z0oJOTZVmnlLq%`pm_?*TCT>F){Y30PQ_*$$uJo=4dx06V^={Yqx3Aw96}ey};xTd( z%`IKcd${e}A9i&GPs@+|%iRg}d~{fCw|m+g8Z$*(+y20@gyq9k|F5bCj;txMvLrlj zi%z5UFBx|@jvE$c03AT*wAojD$9%SaWVmOiV3%KoXA#w^H>-U^0wRN?In7CL@@;N# zJ{aC#I52khu!Rq!7vLJ|{{+J=JpeEeaJE#yU!1zuYB+U)cEex=Kz(-a0p2_Pxu(x+ zX5>RZrTO8qzM~mxz+Wi_hL`d&@vQ#5f+-)E^1%u+L;rb=w$h<)5M4LMMFBxJd|-Hf z&y-}}vN}_9K$r@!&@hLkUT%4C=U495qCam8^7{25vD9wSWDV-z9N&z#bPYYF@6Ow43shIq4*AjB0C z1AFdc4A+&%Rf^0$cZmgkbtYyKLC1Z!aF>`rR3Fm+v1ZfwIr8TO zF1w-U5J8u?iu)ZKYBMb{TS=~|L};Z>3eQ&Bh#_Q%=nYy!ZKgGFea5TMe1?@Y@!??` zf+x94Y^ct}2Ahs?4wTPqtV_Vl2gv;MxwUj%A!aPBNOvmPU+~#yYZr1*KE{FdfBxvV zbIRU{!hx?#cFi6=7Kq4=jTqr8N5(Z;`7FI+{tio0EjA6=y57 zkZqkGYcREdv!Fd|sc)pyJ6det3(4EYI zFOhOi5YSSe{?$=4I)}LGm7@U5FBxuo(33(vz*pE@Vd_s1px7?>r1DdT2UikAir(%C zeq39CJ8bsHJZphYLmwdW9cuN=*(0HILa45~kX&=1pD+BmradQ0FG-!pI@i8+fUimR zR~QG^8u?7{9*!9-rTqc(m81|FqmyY)lekyvKyoVhK83WxCb8YT4S#F`s_+_$WD+xr z8_fW+0I453IFBL&)kg-sreSu(G1z&*;)2Pa7l?9krUZ=Vv*|nZu(X^ZT~cF;&UX*_ z`qCSM;bNwU1i(G0nj|M}HUK?e=g8s6T2Z6Pyw;GWwp`HkhHSe-R~^(sZS5G-&!Ns= zNRB$do$e_=&XV&#~Wc=m>J?3z36TgdMT3w{unO zpf`K{>leDtF8Y~>=Q&R4Gt%81lq2>ku~zjhq+<&$kh|!bexnJ#jta&!Tk9A6r_4CP zf}#UNBP)t$rR%JtCSDX>MU(9lEGE-t>_}et7+hXKkNw z?ZGkDDLJu64P+3U6y*7=x(wb`HVyN+t}xnMncMvOnoTEdqtA5oi#(eT`)V196{qKw zuD{Lxxq9MeFRH{cKAUB9Cw4P%4;)zGKlCG>U4#)Qz${=TI92p0z5WuQE|Ni*+rKk( z0aXQ}Mf3W-&51LC76Ye3`kjQaxy9+;Lqi*D(V3z(*48iRL}AS18|>s_Ur}!`6T}y^ z`o+8iGb7-*k7I}Vg0lBk7ymLWyUE!*IZ2SRX5vK+AS!5xm7mkKJj%mDO`YsM>VJ4VIe$!;}rj^mkl*~@uFxx6WeL9+LC^+NqT zynbiP7C2O8hHP?MvWzXHUL(VzRK!(Ke&4G;_bt=pnEf$+GXZm*G~W^q(zjXfdB6(^w1e)Es> zU;iEGr889kMAWV?>(}pUTwJf;nWdWzFPhCHvijELtyNR&d`GMeU0Pbv&c9$hz!Uw{ z+5GvKtIB@aSKVx6LnFf!rbgfCRtZuv)*6gj>IU$KXl$oj9po zbeMrJ;oah0Wm=R)0H}hJ>u)0*+Bv>+~(1o zHgM>V8k?N*3oY6Kqrv;x)fc(}tHWgN1{P?1vnG2H8POP+ms82?^xYvYc4l#*#~Gf~ z2Vm)z)xicD-evsz?nAxeXG#IXWn3+?-4H+Hl}?wX67d znc8bw2w79OG6lWJ(cYp!Q8$ib3v8oC-BQ%`t^`r$RWGSdHo*VG)j9#aO zHl)}IM)KP&@m0(>4RS?eqqUbBPch&}IVike$exe&XB;IIQ}CiNN}&9NL=O8enbU^$ zPGzeK_~LlYi18p%m{z)-a+bq!1mrm%31l2wNR~z_Uk-&H4dN>Ft|PwARtLHw?dquX z?0xIUfdm?bQ0HVla8_mv(br#8gD7PE{(+D(3J;?h&Ja-M-3hGO9z+DY7j6V%qE!~1#fI+PfLDOZPP6p zAqMFa&0PUbe7-*b4vdBrBx`fN$9Z&D!!F@;A!r3KTgM z?qRqZHi18&FD`f9a$im65-6bkwDLG^uyn3JHgSY$uh#8gPy1Y3Wpz3!p#2hq2Lwlb zRscG;m(RR65t@Aa>-iRp#}3dHkctlX*Q ztiSnVasGfxwKqk=*2$0;7k(yp6*7IoHNaqK8aNnLAE_s-1x`axY*K-f_!iyXHT%cW zWtK7W=dr2*o|Q6&66-`G&+;e5fX}vp3|9h4OOiUXN#-kiY5)mWRxrefv){|UD~^2> zI_;K}DsUt?|0hO;aM{cby0bLKzKT6A7z?6soJh5R|C6FX>Vrfykf_ymtKjFpp*=@8 z8T#rPiH3=&{8IX}{mBAm92Ze$O zJR_}iC@2{fj~jNVEjSQ9PNZbwAXslTOqfZ&$T{dtl)cZev#C!-ed}-k$-8&Pz)ze3 zq=_89Vtv}J6R}nbE6@@ELD?KYpU=^F&E7%^gnpkC>ltW;ZN53FRD#{46HR!f#3^2E7X50_A~r6enanr zdBEid`FzzuBra5q{Nh>0#g_}1&wK>t&5plNjX5AJ7yR|lHA&gu_un2aJO)R;{*Hwg zo?0t|8wp#4UjJ)J!6JV%h{C+hz9`Rz-d#?u6p)Xc#C`mGsD`~5TO7YeLJ81arO@OH zUgHujFZ6bS0fkO(Q2;r;#6P*|IIgSIwB2wb%(CI@oKJ|=`dRvNtX-#Cx?~HrSfBCxaha#z(L$3Li5q4?z5kZ=7LXK394jv6Z~jy6iY3M+ViJ#t z5pjgcr1!H_yh6tKgd5!e3i7uGTM&4H^VWtR5(^!>H2pU3{~8x%9LG?5sKVnhN`Xed z{uOb3twQP${s!0b)nZM446IW3SH|+NOn(`BF#nd?#wGEh6)%}7F@7Nir3Km9&yi&k z%k+D?M7BmpjMDRpQjX8v35m_sWWfBz>vxlSlW$xL0XPu;OKnCu{ere3J;HgJtbwC#d%1dSHPQJkUE&4hAnKvpp#o?;#|G2TcCqJc@sD!{KXF`C!0oCt~>cUUdh)8nxA~@4pd@kLVo$5e*%1p z0k?W^kMG@X9H>EwJ8J0NrAspjQaG(~^4Oo*{N=;wW^;UCzZ-k-oA0r**kNO4(F=R0 z6C@~PHw&Vd(6l|eG)(s~q(9*X?$K1ii5{U9JDv3uS#Vo zaHR+6Jd`>!dZR`+{X%*X%`(`zquS9MHzh_g^nf7|-5snqA8hO-k%bHksZu6XSyanO=H*FI^`|hyg5gRnCa{tAW_)26RO%W@2tnY~>^=F@wnG23-K79W;{O z7_swhbsE}m+39SQ0;0QZM6|WtM@FEbHUiI~8#^&*BXfFFd#vk!hM?CIi9!umeBbVe=>9ALuG zN!sKYl4~qU4hHP_KFM*HVlLyzNnH3v*O~)>s*xi5+j+gl+Z!m}Ui8UMMUX)VKx&37 zBbKQ~SnrH%+LKN1lARxb(8VcrBS8y?(~aH@Bn1VLm2=T&y16p+0@@R6Wf^#gLaW1! znlbN9R{GYKTs@{djkHcFllymmGDJrGR$xQa9~v~(mAun9?FM$7VGUa0DkWa}$v#)b zcDr;0g!oBh0^}elZ3vx2n-*aU#;3ia#u?Q~=IBZWsTkZa!;w_zFp~w)^JQ)5nR<-W z;o|kis&KDtG^2YG2Y-~*eOFXq_JpaO)eV}&U&dBPP+Gl4eDX*-9ZAQ)0s^76+R;U5 zuk)P^*WJ%e*Km(VBdx@Vh$H7Djvws$3c)KSz}} z(0tK*xE})`=us;nIK^WP?ZOY=kV9StcO)1w2EyJ0lUr9DmkuNWy{P{5dsQ(M?Q_wxCiAJ>J3pK90eHx?^C zVPiT}UZNg)V~)k^+@CDo<$(x&@m9fBkd1 zZ3~_^m=O@B@|*8CXCo%Kef{N8!+Jr-$|e~J2Ccze^tb*|pgl(SjpK&F)72B4kE&xq z9jl)6U;iCPoFCTJ4w}_FhJd>Uf~gk$ndoC-5x(`D- z2`nvio(j^UzQ7JytL&_P^B-e(-0S|WvR^__FmE6Sa}Wygg5Y%S&C!>ZQ;2@IfdvEC zsOL9kJ!juAx{YA9s}Sr-{RQwDTo7J<{U6n(ZZ@5u0u828^@3~y2VU=qYY^?N>msk; z?SP=tyu5z*tS+A~0Pk9Wg4XIce^+jvYRV z)9v*y;R$f4)e}8HhZ`MYN6lUJjBK!&qU9iOkr7m=rC)>Ob)*CGk{7wt|Fwgw=y!#F zVXOom>h8vpHA*&5{W8rKo^=2)vh#9NaEu#qdcg3g1q*9OtS!8hy8^aeIOydhS=r}2 zds0u>yd_&`asGGp>#s_^1x9s$;nS=1`rmE%iqdd~-xT?iB!l~Wi9=pDkOa0xema=j z2${>EP2K30W{wr~HwayoL81zp7MlOp?|%JrE;Aojvp0b1G+W4xOpgOwfVUOjFwL`u zg^nh(dnq-qp@5>%gdSf18ri&wJ+yB+y1|_YtMdBGlGcZatdU)seT2?!aca4!lHw34)teP-wQDF1c8WA=SIVs1@6j2#3!-=*Q4ef^hx&Eb&r$GPC-QA;1~H_sAB z`B(oKg+AvkRlz>fOWGhTB9}uTZ6i>RUV04Ddw)9UfY-7CqaH^+@Y2s%Ao}={Z+!|` z*iQLhf8R-jpZ#2RxPnG9E8YdYcnWW%I?-^KU@CLpE^2-P7s5^1Q(quFx`Hv?9Qs#O;xnEYI|Pxi zdb_Ku_VqKQQH}633K29H+Ih*+B@3O_SHQ6$5o3FiWuQI4MM5-1$>WWvM8IWXVr<%F zUl?nsQ9Ypb`O-zglaT_Hk5xeSGJwr>sG(viPXxar-h1c&+5WxZ);)HvF%mv3Bdj7&5*C^Zc`VFFgTUsF+^U9sx{(C?W-Ksg8<-D*TbN=MI z2D%GQP2P1DQzu>t@p=KCyGq7>Dnd0!;4EJqa7gfww^rZ)juvFF+kriCXDIPL;}MHP z1fFZs%o#769P9@Ih6dgJ;y$SaK)xyy?rmfBNZ6&_yBANX+nq@ zqi=xb12d%kK%M<4;emRieMJP50MK+;glX#%OgLc5!jf62F!O7N9SuwMy^4f$HJm}g zsX1aN>#D5F?UB);X%it6fYIF)_Kp&3=b4HKBRKk8rduxvnVOyj)Et1$^hNadiJaierz-D%}%Yz=%%W<}eAvX;j(C!=6^oKrx z@?}!9E;k$J%wQY-P$5s(-}7b#cn-~^)n!yaYp@4_U{voh_XC*Ljeg%e9vJ=ZOuz4} z5v_9^3h*K$!7*n}U=8_-^f+QoY3rzs{&d=(0W~%nMvb1uGSt$ZH1ubL-kCKw9G?$? zXw+`&^Q8a%Bybbwp%MWU@Q>#+NOI}*#F3aUo=?^ScOHyN>P#<0-HwPRI^UZfAcGrM z`?xgbiplM!O*Iuv0&0Z~ipAPH6krBQ zCOpBe^cy7B1O2c-SO)ltejCQW^|PlWPMy#RLW?6r$tf>5=&`*p^T+V`uWiumrBu11 zb--b0(Th$kdG3$j^@=vvy9NE)j-J9W5lLF-5(}(4aQ@1QAy@hqrm{R5KlzC#k4BCk zTCf9Z_^afaZ+rE6yK2c(=IH_gT9+&!9NOCo;ATLqQyrHuuT=UJxw<5v)>yO?@%e9~ zz-Y94IV_$gS6-gZ951zU`x*RQ2W+>DGB|4mW4%YZuRzLd2}L+#n$qsLf0-%w!l%@Y z_2V=$p(QC0^jr>rZ`#k`bn{}ce3a9==dKa)zI5>GdT zRz<{gKEM5WgTZLlg2%sTxtBe~k?tsvHCW6mE+CCGZ^_WQ-0x)HeR2cS5x#>+zNY9I zJe;{ocv??FQ&Sfu;)Vva2Z;syn~c6~#h?j`hZAs7`8K~4i4$8J7+0^DF0jCn5(q=H zrI+DQcQkFddQK8z!ibcYIguqd3w9%Dkq5!MAQP&nF|*swG$^4BmXzj2hs!1e238Cy zB!P139m!a_LYEoQzK2ZsW?kEyKD9w0-1T^cSU7NS_7Q9izV*YfJC!YBlMRtFBZjDg ziTs>vn&crg$>~64)YZJ`(B7=NrY<|Drfsp7NW+*xlzB55#MnxZCq=HN$#~93F^{ZA z?^-OFiFw9M#v#RV&!O6BOrz~zOCtUINRBsFJ=yvfRV9PU^9D(8luR8mI%OPN7L9JV zGPn};$NrEa4P5M4-OP*3NdHGCh>UiO2b03)yTY8{uAqU;04~VHZZux5gl^LC$BKvz8IiTQzo15@s<= za`u81{8Ha~lB;m8o4v!gX$4==IxU&}Foki_T9NThQx)$fU$8c0{$GI81%4Ebs)R<=Iq13vh1Kcb7`uQNeLTW(7}>+3kfmU<3O54~5kda{6I zSj#zVyC`ZQFUP7sx_aNtD#s7=g}TzIMt=jfO}?bI*X3W;SGXt+MS;Amqx0GIlk?f% zp)OZL`$a`ZKWWjt@Sk^O$IvNXFiLVJ`~R7$1V8cQ5M=HmXU5k>)jm-b|8KBYK2fyy zZ>i}2=ocS8oP~n1o6sR>A9UQ@k&!lnBuk(T+3_nNh5-4PEQzWEoxLwHyG|6RaR{Kn zG1SgCQUf$PpC8bYjO^%ux2%NB^(aaJDmV&eMo@2jpf3e*FG=~Spf~zSm;gP{Y#^}_ znQT_Ja6$r=kgFJHk&leE(S*3)tdMtqa$EeA%>8%_iF1t%9NY_SJoc7M$Bye3>vH@o zO08s+NsNr%<7@_eBni$4Pn;--qR2|eP_Ln4OE7$@S-@5jIn7=WWmYx`HXEv@cY1)G zG~*a$P8erN%812-Omes1kb%h|xMU}$9{AoSp=hBIJC$A6uKI?#dHK2%?Ftz>l59#Z zbUC(nJa{mILTd_I<`V<+a|b56z{DpHh%G!VmKw1G4(r;Q?=F#6$vvX$>1Qq|)51w< z(fygkeeWUPFQb|CZ+@TC4ZeLp7?m80FT?2%BXVWc$Ffoql)F;uz^DEjrgmk1j$d&k zN6SE!~nhzQ-&u2#qLqh_`lJRPBLYU`evnSVty29aP_#F6Pt zFGFXNUPKbBkK{CSiw2guJ@p&cxU1Jdd(B_=96Y$r0lxy)iUXY4q0Z4vc|gjMR0{vU zt$GZJValMDrp#N19ivy_xaF+-(O#Zu3P}_48OWVN-g9$Vl36kdB^mT&Y$82ov`1%Z zB55tz*)jOyOO`|O(iW%w`TkRVIJ^M!cE(yQS;R=VAd9ptG%cS7KyiQ&!LbG4FdSdM zc`FlXWkh}~LUNE)t=0|_f>ul}IQ?hi@IzrMxjh-6Xbi$o?Xq#yz`>Bo} z)TT4F9;rnVatz;pN4=GA!0a$-Fc<~rugQF-pbszy#~C;rFwgpc^hZwt6_wzOg4X1k zL8}+D@crH$kFMvP6Od|`RHryFsaGxT^|{Tnde3IisA}FJA!->|KuC^wQ*W@2K^wyt z;l{cC8n_XkTUC<}rS(Tn_>?79>@q_=S>yB^0+cKKyk zWwc(8^hTle-vFCHXoG}9Xe17rAQg~3M1z9k;OG8W)(!mtP9ebpeyCKw?G@-~_{{E5 zfG}&j6ULxIE$Gsb)n6iz7Wa!Jj^VK%zzYjV?!(cBqC@@>76I5CIx4?X8>|w??Lrs5 zA^k@Nj<*kei@Q_ac%iH!J+w*Md%NvdD`xSP+UO*3PQn$K4&;bIs%D`;&>jG%N{bn8 z1HlE<41x`rh*VZ-*TvgEqiw7p$?p!&T9!KCh>OuPhj5rOr@T&k#w7sGg+4+WN{*QL zjSQ&gcAr;wx=*OR8^o5kpp4sbco9R=&O0%3^ob)`I;;AAAJ&I_2YebTYT9=(q9b-7 zKkDk{G-(MZp6*`k#G{94_v|>02PGza>($x&5-_!Q>aU~H@4@NHM<1#tp- zK8HE0vN1C(2~35hSnq~d)H!t>WXDEX5JD7-7|7qq zETN4C*v~Smrj{fY3Fs+#M`5bZ;}*t=xh6LKqrXsJLjm7KkRcIfLCh)!f+TXB zmy=mab_W&NZ51Ho+92bh-7YnZ!zDFwZ)?EzaKSY{lGJXh@P^(9Z>x}ZlT03v7%yLx zB%V*X8`b#BUw-(2>%!Y-25=UIuBaXU*6Ow=LOm1)WRFu)a8d$&TjXrFA$5$p0^Wtj-T*dfU6%FE|9a>O{Rw#u2Ci2 zo3aNNyHahqRn75h zK0E#xnt071Y|S}I7nF@!I0(~Cn*3@pm~;w?yDCl@!Z+ziuX>}Rk-lZ zSe1@ulhlKrwmqKxVd&BOI6ZaA-W%03CK}#vmo)-Pn%>e*Ldu#wy^s--t)r_$9O%1o zj_8D(RLC(e;f=Psk&l$DfT9+?;6^e*1vQX-) z+{rXvut&;@21<}SYJi;##X2UYq(*^HG**5u)x9c)$r4obpXB<&(WBfJ9OQ0lC4g91P_i zaoBHv2{P4n-H>QOBZ}6Bgb$iTL&D&oVdxuo2=5?!9WF7)U zO5qbKxvqrcirf~XLGUX)N72kg9BijEBa0mwQCr9XLK*1|!aKLV9P>jB2ft;KH>1Xr zlfU+bleskU)yt-_^St6a1ai{I1yx5r*&OA3IeXsYG`{I~%xpo++<~oH(2jB5%d&wY z9{rr*zfKid(%pr=9vIlO<3Q`R+Et~^hrPH&w>Q<>UtHQ3q)Tv^>QUk*OJsiOR6KkgnBaQO9J#2_e#lg zNi_l&N>!8j#+lzRd8?WUt2y+9|IcWjumo}QS9abW;8xNM+SX3_^$T`Ta9{#F1Vke= zc{Vs}|5m3!G8Z=20{@ZIyimlIz@;WuID7?`DS4X5oXSldF!uzJMQaF{9)~mywl&Eg zVRqM7r`*`3O-tI>9XatGCrp29GE?^I(n>3&De1K`u0#1Xy|lHhJ{D|2eaq>)Z2Dj- z@St#@2=}I+Sox*O8&adTHM!UH0%G)X>ML=6F?;Kc939W%y%xTwYr+~ACOE&1+Kug$%sDp>M7WTC~Q-1$oTLhwUaDbRlM2Xe8m^({@#~>>ZPyudO$x->iIqs=>F({ zAyIw>yM&gy{oV3nS=dQK&XK-kD0J_4hhS4mcc3Hor7rcJKr(duh1Md4RJVGKY>j-g z;Wy-F#YU+U8I!b*(emp~Uxssp}j~hj8ZY+LNlp3oU7!E`kZXcc;P` z#}MoRFzh&)l^@APn1sEjnIF!*=k%&#&q_2U5}pxW*DFl?G?=@}L;DKkJ0Ees!SKyG z5JgBc`6wlJI2e9|IM&G-kxTyB)M56=3C36P6Nl6cpXg)eN6BLyPgGJj3~o5gH{M8S z3Ov@7E_y%k<8Pdem2}wm1LkTFRSzgm4(wvM=t%& zN4vTliyiy8*fmzPvpXYc1+8B}D0tPRrs`jh3_7G%e0;*GW%@26a5A4%1pqj9&KcLt z8A-he?)7zf$Ps&>WA6+3M4U&LQ9p3X)OWvC5T^;V}IZ) zR%AA}3{>DqNWJ|6L=Aw3BhOT>jcG;NIuTsJ$U)pOZf$WIM_zGLQxzRSHYmXCrgCW+ z=QVP{2{KCJ>-M(b&1lu6vExsH6Nfa2O^u>N4dalNt&N)#aWgmtVtiowGkirWy>9GF zz21Mar5^3*d_Kgq#0*P6z5Vs5e1NC=w2tGuIpzmJaaGwHnvRQ)&V~MjDa7}<(Zy|k z%_N{m(j+p| z63ZYKL@ee%B_!rOCH6z`NXuD-?^ZB`FdbFTndoRe2?3Q5qLJfA=~L`PUWyVUYGeqm zR`-!+4&wmZdt9o+jV)f4sVjdas|AI+;gfGaWRFNxB*}npUV#91$lw0>U;l%Da%o?I zFhoKDi!vZ0iBh3%@Dy=jRB8Yn)_?lT4~LC4A}IDdvI>8hf{>n*<ZBxaZDg`7pFYQuQmpmhfjPV7l-(qY5jDI-RgK1M&r_tx2dGmQNb?+`mwp zdh$FArvrqBQBYSUJyOs}mpE7CZcdQz8Z_%^b;x6>P!qf&YANg_egevOf8GQtu2Kco zHU6rFUKsYE!pJBm2+|}T20|Y~+d|iY;gCjuPMf27*=<{Z-IZ!c3mf>%CUcV3Pnzts z($Jglq*ryO_pW>Ur|6IqP;lt|GT+B{Cy5I%F<={&e#e<45}_dFsmaAOC8UkWb#zxQ1RF`OacBD1QILhpD|d-PH!$ zQNou9WoF>I|&iml?30*-l;WAGaW{;b|zsl5Aq@J zMSvMuGdi03l+Gso8g)Cl8S9TG}@EJ>!TV#TSGUYjQHwO3|X1KhqS`fp-gG#6jcUKvU0sYD~OX z;&&>wUN3`{)`(r724#Ia24%4`$ALKH&#YHfzJ7nMd#PL!Q$Z_4mW}nAmAR~)2AD*o z3+APkFdwh_<()eFpgd@RbxAd8 zYIUpHW(tdwTGFRR3DvnSN=ZK?AGj+IV6FOCe_|=|Lq{h#Q?2vaoWIk)$kY<~vC~QU z={e@d&i(?dpu9Sia48ne14h94{XR+@lf8`FeOk3AE9+-eAa&N43UIbnJ6##_O5p2m z3o#cbUX8rnb+ablUQq(qVaOf0l&8ts|2ePW+t2kjbKF!M6MO%B!n+x8KsM=)A%8g+ zbMCs+Yy3)kmKCJ8MH$-$cqwoL=c1kZNY+CBtAmxrH-&lA1za_1*c|nN26_6OMgk_I zg_gkZrZCPusK)sgbUtIjS_Qf3CPtLe*>A~ig=I^fIdgib zID%>#b86#dcRH*A(!c#&9wat;-euJGOjnp{oP-D z_)s3(uIzd-jOrqnP;i>td@8WP37n#dbvYr5lO{;T2uaW6?5j0-IDpQ#H}yxuRKqlP z>a0_cYn%Zb$yVt(Y#>FfUQ@ncLHrG_AaU*%L?DdGve@E&vVVoklV-0MPsPlve4;$4 zgHOW&Y+f2C6NSf`;hI&^arA@}gaIP^138}#GuyLhehVg-(S9hf=Na}!T>wqdHQ%;@ zUuIIkDnIcVnjgnxre}U^!A;+k#kBPsw(7~K7d{fx1@%X%@l2s!L}?d8hD5#5D5B&S zx&FL>3VE&o(w~&n(S~;bgXVZ(>(Fz!;Yx8xJrrYvsYj4-k;RcUszI@*eyciU6L9>- z4XyQdE7ecacRJjUVajKQKOnY!3)!i#I8A@^x+SaEya*u4&&

      Y;@us4)5KEZ7o zvu%cVr`>#_2TfIuztiup=s=!UVoop6T0U6u6+h8^G*Lma$yF6esZT1gBd=OFl8g!> zV5T}b6Ya^JsaQI*c&vJs!mS!Lt9f}--Aom%D(Xsk6aBB%^5oT@ysB^9i(kEql(Sb2 z@C@6y>eJFZ)9q9|zAx_wN?Ci<`5gVdJ8FKuS_1T|C$GwJ#pUwm+s2Q-q{*<3R=vQ2 z{8at17=Kt)PxW7ANwrV)UwxXeN{dE8h6V9WOuT7Hla6dNXBY?MW}-01S0n-Jv% zFsdEP4<(-;Iy5S7!jMJ#o|VLL5E;87%b=j`m-HWu$&c9;q7}*?c<^Sai>EBp-}^&cqnbQ~Y@L^d032OjgVx^Cj~EcYgWFvlUCSKx<{ z@$V{KM>%DQrlWzVMES|Atbx8_371*A#t8BnsaUPZ(5Em3mjl(`Qc?Y7*c4xXx0c1d zRHd)yg~&!hMsr|ri;2w znWt2>)j3dOT|#j|ofu$MxKg%PpN0o2^+1fbq6a;V)RrF$*-d zli|;0ZJ=RVG3CI*dRUB4F&=bW1%K)o;atoqr*eOeVyi27@o}h2`g)$pBk+n7g}!eo zJXXg@=JNJDA+1{FgiX(ihpXmE)k21JDN&B|P~8%)N0Dt!)#-C_teG1S13l2<+y})4 zs@q1@^<0+wf=@d+141p!f3VvWf(6P|5Ru)1^Hq)rp`ZzBjDx3H1EvwJ|E$NRZAw&e zkIf5PdMyqW3>oCP5B6H@>oGVK_rm@o7j^V#qMG8lYKD1Ql4mef_@TKWdlV@Q7R$72 zHAtWiq?Dm_JkmJ`P8mf7b5ZneYlJ&dfn-f&pLbZuYWZHQ0LUmSn#-zs8Xv7CA%BVe za9^nw`kuxWqp0}d777p)R+Z6An)Mc|Z*4UIe70P}AEl4rMk`nerO0A%&h3scfN&?zb%JD#bAQ#zQ ze2D3RDJrJ=#kjl66nJ^li$zD%9A(W*e#gWP$(Z1TdlI=5$=YV@@3NHFai}V<5qCV*hWUMf(wvKvdL^bwPiCSs87p2h6Cs^A1YBs7 zfHZvEG)NUg3d~g~F|O>}wh`Fo*9o0vGKQ+u38IjJ zI4VKiu2g}jVM!bYmBu!+A`_%}6*8#FoYhqfY^G{i_8D?1T~Jy1Ro!=H*Q;az*Icz*tfFQHMPGd`E-xbE_BjhXE*cdn7ueL>|+!e@55`qPA^FDkdnM z1FSz%umy7amLg{}TT}ls6|pLXLwLulU$)}qh@PrZMsL#v z22DF?smc^PfjUv9U%JFXvOA7ozwekuX=VL3H`)!d-rt+Mp0PzKH0NibwJ6$6y*Jn5 z_dcr$0g~?Wb;{1H?o?A?9+#YWRgJk2KEor}DJLVHhwLx(NFoa%L$bAv?93wx#ZWzJwH>jN~P)))^e zCkBS@V^{{LxVL!bA7IO49h;*-(C~b;&ASbq8dT85dx}uJtM@0eJ(aZVmubse)7$1c zaoyN0BK$o41KO>o z`B>!K>#e=`?d@nmGSEIScI5-Ii`_mgQ)@gFtkn$72``lEOv{>JRWkV{EF|YKm7?8eox7MerG&y2w?SL9EnkkhL19v^3YT7H_uY9#5~ zye+!RpH(fOfE-mq=&U2z3=hh9_4DupCB%f25E(qgVy-hNw9hims|#uR`KVINaVs%| zb8+&J%_o)cW6Fqp0PX9gHKrynWW&pI>|_0U!|8+>^tdn>={%RM@?ITBGjLS;{jygy zF2!&Q6dDh4bDnA{IMR!rtT7S_Di4o1-i_BkS&=SsYKCbmdYI^n5`Qb=Ek5;(^5We) z7dEVadkD*h^+)K}8XA72?__8w!#LTF9jePaFP(v~-sx_?Ihuou*JTPWdqXnLEafy& zHkVI^8nBXNgKaL;WN6+V?Zbn;fwER)rCbNTXD;d^jqaWye5>K^Yc51#2kp7ccf3zB z6k*Fauk}iMG2uk(Kj86T>_$qEJnqs@P*9fz%Hbi(Lu-`+kP>HTab_W2yqsMt%rS=FmEBR;d*r%mNVgCu z7-%d!AqyWXLiV!^8hHharR!>IP{^^vZA!WSYPq1OP{^@>ixOiLa+l7=LkQf2^8lT( zL|ZRAP6&`PIt5E^@);@jMLn1*z&}&;Q(RW{`iuwXKl$>LCp>(!bQmQ=EJ6Rua+f4k~V6U?;W$I@rTBmW8mt=k%%Z zp7&-29Td^dwA#G>?(BD%)d{-6gTA4;@qExR(8Fn+xO16M% zlx0@jV%S55c(_JlK~KiWP;4f?lP2u-7V6*5+P(g$Di~mp?$G>@{LD7pau((54^6!M zGroL?NwDU2&v%qo>jDHU^iW~wZwz+KqtC=C*2O(K&8R7ZVz-G%RVeCsL7nftti*(X4&ymLveaqFgJOvi2bU-<4wO{iWLA*8u&~(aBhm5NlF{(^-uTvNn?Cz%*dy? zPK%PXtZc9+qUiU?B#LBIUDRW@!!B1yX(EH|K-Vts^CjK#_l%EPT3a;clW(!%ux{vJ zi&?@`f>0mJNA6SOKl&<6;Jn#WFXd6UoO>%c6-_rWvgB^LHf2^(-9lT)=w;bA#hy2{ zp=JB@4^$X%JeYx{%|qp4o09*Mk2t*yI30L;ABuei4LXJD|BiWwM^GXY1Pj-)gBw?0 zE)#u5;ZeI-2N@DT1&cf@SSgBJxnZN7_Yg#diDx}F6&%=Kr5ryIP8XUGBPghgVs_Xu zodcoX(J5c>7xGNpINmYqt<}@+vFy-f%q$&AVfkWV;A&JBTNOj*kVc;9b7r9KVxh8i zbO6@oI%Rm4=NeGDI?eX00{}59^0Hj+3E&(!a??qnJsm8&nWLXI-WSoB{!(-y@fgwGSI3KA8 zzQby;cU;vwu8Kb!Z|9I;scPjwqUjr5dXHW~!=ZZ#Y4MFMh>g5JOwfx}T5K?dlz)lb z**M0w*m2FFB~z=AK@7L;D6dSlwj;^D*1oe_SWJ@D_Ds*XgPzB3e}~ut;#`DE+9C6c zGle7Z-B!z$JY8%z>3wm^+}^X>r5|GU1NsI31?&e`IwCg@Ikz*P&Ep8G>CD+o=A#rg zA2gQYz-b1VH?G2rHotD9n;m1Zdd@gs9tMo621Jb1P5m}q^iV5SYnX#_|3wF9=O#22 z&4la~$gMRWtW*_`B=rN~)1_F;^HhLU*>)zciZC1$WI9;FwiS=8IJXi#w-UjZ!`84T zlj5$vPoWlm(C5r^W1Hkd&tLzL12OspG0229bL7@Y%`Q7Y{mWue3;$EG--~srkLx|p z_;>3XdqpIjo(m}R~uDvtd18u@GN(-nHUs`O-C)MdTKzM|mfw^XJUM5Bm8 z1!E)tL6{cw*;#VyZjQ#3F?-Cn=(GOgZ&q9p5=Q|!DH-l8@3xTR+Ig{g+x1*q1%ptK z>mys;HpKQU_ddlUq1+=;B(@E-05;@qU)*XeBUU*Q5(jMV5_n_OCcLyEV|J+SBWC60jljVa`hLDkdlL#E6iYmdk&s0=Rv4?l(~PU-1lhyZVDMEg zh~{0BLm{kn14Bz72(kQ3^QZZiSE+e5)cKR2rRBPyIl4`I*x9OeA%lb1%6aMk@0T>N zkN^!4G-Cse;~@ty3DDF|8`BKbJaXA#8Es4?VTmkhp+jW{XjRzrv*td(tq(0W8mK4O z=2JNaO-o)g&)jVY3x|F87b=FgCwN>M*=yEv_CulrSW}@6I+DLi^2vMT0de{aW&zcI zy-{w9c)vT4gI#6{qq^j>jFDQxdL)AT)*P=9=JlRQq!}PKnOQ^GhH+G${w_@u>lGxmfzpr}Ds>U7ca2%j?xjdo&3Lj>Lvd1pCH+{FNt9=q*rm zy(kf*HnHL%t`L6nFjoAY2yZ36!FOpRkn`FQy{)m%WQIP2r`eB%eM3v7%nrHi@A3uj z*KA*|*yt8v`!H;11M*p>D|j43M#bBC7z}u1NjR+#C=_=Ucm5_{Gd4Bw;vn!}(783R zJYLI+SyaePrZ>oIl8!O*Uq&U8tI3k5Cz`QaV-2et5d8$!KRF;V_OdRnG%BKQd zm*EWp9_B^R40$=w@sLklu_~E7FyQg~dVsp>gkF!GXXzz~Tg*vMc<%d-s%IF{TO{EL z6%0&XB#T0#JdK5`eNw}1(QI|U&4dN9ZZz+=ux@I8K+$cYi74e`UCjGX2ldW6(P3x_ z22}!7ZIW3m>1ZH6Z+2wpl*2TW8A8gpic34HNtP#?=qXv=PJ&%KCjXf%Iv!!+>O-k& zi9Q@z?Jfs~2L|)m0+X1m3QmkYHjEgwuGvokea_fAtTDHB3#*1fUE(&oA}aw| z@)X*-LS@VH5{tX_t}y@|;{l+tgOQd%pe>qWmdC0ZylzQYN{B^CCU<0{`!>}{4)F}$ zmD{fkqpb@eX6MdD6A{ZdwlRqwr%{ukGQ8-(+L;yRVUy=_QY{Gynnr9+2+}Z5Nh>a0$2)OWX0{fF*Rqy+9L0x*C#j3Hm!P%+8`9BKcc7>i8Y+!b zmkR3ry9Sj@YuV6Ew?u=>ntnhp3vwGQ7^(!FjmB0nxgvxazDWt(2P+!I9LrpY{nBHV z8`RCP=xw)!oOf1I4XA`z_>SdWO1FXK{a}P*(wC|_e5U0{;ax-FKU-8K+mu23#8+;4 z(?EraEvE~3BiPUEzl@WhONYA>_IyL%@^_69shj76`;E95(<#`(kMW1{fNp{d5wrtv7uqPf*Ugh(mt*smu=rcXVDstCHR|24rtuR4@{Z z>=dv_3F23o*)xIS8>F?^jaes7UD!u0C+|-OTtn^8JMKQb=2y(Z@BaD&+mm_YP=D(0v8%jn-TcRw&k7gMQ&h-t$Lo*e=(A{d0ujs&kLPEAW)r) zeBKMqQ$q*C^Wt1PlH%-(Z0?xNx8n!0VX@EBJAues^PyFlj&dUhmGHc2j>;5Yl;xb7 z7E;qjYBw12#az||X_iNw=C93m)GC?dWr!gnN#Pu_*2 zsSr|T43ROG)OjY@wYFq(6@xoZ47gUcaxRAz8Om*VUJy24g&Qo_rFkY86XbSmu)In@ zk`*NJ)m)5Y=2I@p>3+|pjAzmMg5C22 z(LB8q#(|^{ES{%e-QH3&Rt!v*XP-A9aJ@*>6*ohr=idq{W%+)J>)tgjz5?}!{@=SL_1=` zpAx?LLnftUF47~lo2{k{lk)&8a$?(=(rXWSu2CeH`UK2IX&8|Sk6S!s8<{AT$sx2~ ziQ>k>L`lL4Wt$TWnXWNam!_vl>AcuYya`8}&`MwHj8f5mM_8DdZ{tn zw3zn0ZFzwkhcn`}v4#`fxyiG3TS&_su_y!VFL(-Olxogc$4i!S%@U86g}&>0Gx{_q z`GP)?;|D9mDijh2??kH+K0L1!QK^O9B=KkDXyaU578vJ>hAZRD*6E4y&LNVQ8z*xn zv~fCWHXCAA19!kG=veYrobhf-icAhe{3L1 zMN{XYTO!9Xe*M>;JfVJv<>!PKaE=lnNC1vSz$+dRs8EVi@DSa)NBR&R#u`n&mr$=$ z5>@6PVM@6q8C*+PZm6PYw#NnI-~?i;A$n>n*!?4kYeY;S#y_%cDrz*>r8w$@HQntc zzTZ77$tNlV5nz#mLGcXDRm_Vr4+Oz+;-xEj6uS3#reUV#f;yL{r~`9!t&X0$Y?$te ztNGRO(=7i$qa}GmXueH;Xcu%h5wAUc$cBYxBjBIcs~cIxzLkO`lP#HQXqF7cI!mkT zr+-z)X|vqt-5&FqVW=trXNF3%`^3q<(fy9CghS79d!WRJlB?0bD8oG;$Ar2qHVqEr zrtaE(-{=83H2KR7U8LLx#zOzDqJS=?T+C(y{P(4Zl$K8VU)OHpKRqq!GNEeSAnm+@ zBrphcG~`<^9ocwPd$FR z9x7KdZyv8e@&k>1Q-?;WIR=~XykqRE9dns*9QLWyi&h2}mdw0@;i#SjKFaNo`h21} zbYiB}ihQLG&FI?9{?||D6hFiDAiex#FG6PW`cS}d7%{(Ibv!SQ5{GVWuBAL4 z#6OA7+w+7Dbb^Suqg=*BcO+t8EBMhmJ`mb{9LO=7#0N>FIpeU;Wkr7C$~AbvrG(Dd zmq}nu@$}w!=gZ<3%#h`I8`X;6G1RCrI>);0#r2RpgLJByiwk4(>tO@Y&V96vrrH5ghwtXWL8BZJab~-Kc4BcWVVZ!TR|EV${r}Bk?3dV6q zx5y(Id&$dnNy)1*6Y$P1ml5E+<$YG2=~?VTA@X^$&V-yfR8j0*Tgz;408BiuURxwG$eZ zJcj0;H_$@#xZqCwuDRG9rYXtgOFH>O+K|G_x+ct(LuFHq?wKSH$y`% zo*=D25|?$?x6>L>)yWw!bek_FEg=^lXrWXoO}Iha*;TLc0PMv{}(tjN1?&O8h`aH~iqmq};9AUD39p?t4aF7UB`8e7o9<4)Y?x ztP{k^VpU*%)6Kt<{R`U1mM(vsI5H;~B~J9Yu5T7KRf%oBWw2N)mms67DH7Hd`phK< z)rRVYOH@dtwSLvd#=z+HrT2g6)Kkuhxm=zLYAWm(=L+V)Ra>*mfj%v~11J$KF(nb%R zXe(Mdk>z-X_Uy>gsJO`1K;6d2$5s#Y3x zGpQqLd~CeMlGWwvEfmM06|Q(71&+zlg}HqvhConxqWyZF$T~DVN{Uw7g5J1Ch281qpn${uszz-PFso4j@qaep$d=%%-NRn%5##ymkLNN(M|uo$R~DQ`D#&P82>JgpS<9VW!&?Bg= zbE(RC$+7Qf3>hpxrvq-N@)bA15=APU2S=58Rs;j=&%Sc(^I{#|u;u%<7)uSvZ6UmU zMszAQ6eu+*Q?L!}1O>cJL!Ia>O@PlZN!G`@$(p2C1` z?b7G-+n4BcUBe!6oCkY^HTj~+iO(H3^wT)Fi5>@HmP~GMoOl5CxA!L_DgW_Rdi*2 z@~Fuu><(wLHbSwSKC%Z>z7nV z|9|jnPoC`Q16~VRjlh?RG9(B7YM*(&OzF1R9m$}#XnDM&;yxv2oi~ETx-!-Icxyg~ z!C|^Dc-64agid9t*G1YA_4Qo=m(`ov^T@Pqa`hb!S;72Ww{Ch% z#cP=@%*e7Tw)LG*(-8N7M9AW-#3M)EmBRAVCGTpebO%fS(O>G2O?7ueOwOUWyQNBj z(i9_04)N;>+Bvn`{MP*V_jyY3@$bX7)*Gt=4GAWmLeGQEfUABk4$Z~qfCOYl9??~Y=5_zGtj_!%W%Em(P+by!_%qX=< zSETXXq>F;ovIU*TT88Fjn5k&uCM)pcl61jP7Eis(SlTu3kuBOMu;@rNKAoJ)y2ad` z&e1W;IHEAyU{f7UMgb5*)ly-|gvM?=`m?1w9w@H*<)(#}$kDR;Rf@-UX;%5FL*Jp2 zcoH{TM&I%oN@Z3`0Z2J^D_t!a*Nhgt{-2ft60}Hr0+Eo3qY;YKD(!{2c%M@f9GlA7 zTDQfbXxgpSZpmLHkT34|5HRW3roG@|EW|7vj@oFoWn?;d{n1iZ0?b^415ooa^q49h zi$WG*^}a+&rt)873HW*}K*9`3oU%w4>6WKX{g$3S1ZZSDvOro9=|O;-TH~i*87PCq z85v7e!vjePSx}@wiZ4iDYGAFQ+m@XiNVi1$F7?j}LQs7fRv$Ddb1`oKkvPjaFpq#Ri3zQ~c>bV_qneVhlyxuPGsq!y7j`LQGLj(*Jh zXc6MXSA+yJA%cJCx}Fviy1qbC;xEzU5)6|bDLolB_te#_?{pR;xA*L6L%c$ zz#D}8gD?MzXkAW>x1JD|#K{#>m*B=pcyfW?_I-r~k#PA!TH;2W0fD9*@dIPvCvjYI z_Y#JG!eZK?6TLX@nWz()N}%|O zxk8_aUK}BMiO|B^zEW3InrHY-&IQqn#Dzakk_nHEEnktY`I6=(Jd-yP;*hk490P%U zVlIwu@D0D1(&3y-_?=&W@}#QC_r+CNsO;4TrS(n-zw*pn(Cw+<*&g2xOy)3i)Oq2Z z;#Hu_l|g0+?A+Y3i|UTZjjhC+Hyu`*hFWUhWW4H-du?@9GdhoIk4)ccZ7;W7BOub> zbz$yIm>6N$xAK$6YdDkT83Ez_uFLXfvZ#g~p@V7^{n66#W&(YKAP<(9a;-!#6%v|u zrKO8pxeRg0Msc1!6BigkYy}U9b04eU>7;KaFf@Y13Lg;YJL2GhRo(N3`Ct7DF$1#YM=*T(AqT~wmNL@xyRPCW0C>gFn zzXDgd*2v6E2mXgT^Hh&`Ru7L<%#J5ARNNr-c}8Sb?ORB5gIV7?WMp=HkwzXhLcs`* zPfx&Z2x1*r`O7-%+qZ0-27#G3E-?O| zud2WnVTBCd7bg4nsUHXO8p><*zQ>6t@00fhNalUQ%t}hU;#b#^_l~@G<-Lbj(gc#z zx4WxcpEsovtqvQ%?oFPS_j_5-`H?Ug40Tfki&DON%buqV*HS^?hjhgl?OIO9i2dI% zQW2A;Xkm$32Ng;>$tLN|@w1iHotZAg%~Lt*^Jx;+$*DliR?q(nDBuj8eytb%&q|r1J57`Ze76lRUwg z2Ua`%dvl^Ll}9T{d??*X5=a(jk|i9o@F!j4a3T36^mXRVJ;ttr!^IFdzjo)mfF z5_S_$62~XGL<3HDjJzWbgdaKd|BWVTlQFFXIKdEaI70&8gMt+JaT1=@#IaAElkWEP z`;@C0KT1ec6T9(w5zc9_84boO6U+A!a)5hr99!?2^KK!a+Avx)oK<+pvM4Pt32le3 zi9?X9X`a(?_Y$AxMX^g#8jRI>bxxyOLDwWS+Md`4bkqGB2HKQpj+Wt(&;-07h*(%M zm2evCOo^bg<9fyJh@^~&W-of(mxnZGQx5Ygkk7$ z*9l1S<=Rwrq*A9uq(>ziAaNc}>3vdxIkC-ogHF>44EHn%=;gi7mqIEQdO`@}pFM!o zUP+Bc!zDck>}cXsWD;YN$%C%GH=va^yhAX@9_pJWC8t@Dt;rVP(O8TF0=2Ncv!4z3 zG#7@lq3K0LGK&M~y#DOD!WtuM$-W>l0yI>Od!*ZrjP&h{;*bz#XwE6I@t?kJ*iI*I z&smXg%8Q^7VIu0N<7VcnSCHusrP=fnoGziz4<=eS#R!G@P?}YV3ercD*Ox@Iv<9cm zbdpM;zE{_SS%yT6`PpL~y}t-=8q&nHe@wy(T!yzW5GWpSs%0U0APM)dywFba*ORC) ze{+*|X-ORQ>!}zaUsMENxc<9_EzZm8xP7P~0iC8d$3unCXJMaaB(Qv_J<7Fe`np|**7%d6$zVE3R+fksp+sx9gJ@#8N<-SnF z0D^{apDV}5vBM_i5dSKAAA6H8aBYxfc#V>Io;J`UF|WKZk9PWkzuf71(uE0Db7Tcq z#FD+E%okZI=q6WsP7Ut7o7r-ii{VTnM>fOCjfC5r5SL>$ho}VNH|>dV_F{@c+12@> z)%_{6P*IRl?9adSY%;;Puqf8mXu;3R$D40{_Ud<}BHvYoSL-ch z?2Af(j?*UH3ZFwev5Y4|zWv#&SD(H5L&>`*;F8*z7Jar!B|-uE{K?FmXZ#nRz51Sf z{2xDi^+%t*`h(A2{Y1-YdZ=w(3nMTqtXl5CIr%mOA?^z6w%=nZYzC8VBK1$CI=?mP zk+$E$rs}Z_ZhCsn@WQP%zWEO{cVu%M8BK-T)E=l#73pa-5}^hoIjT1jrV4ect#EWD z@J_H`CAJSQf=Mhs?!3NC7%7klT&x5uXz;iBqV72iG=e6_|L`6wMZzE_{+AGV*^dPn zI<%m|@->!Mm%j!cqq_JFeo9VkrgZVQ)eHY~HB_`ienjNLKe86aM5V^RM1EE&Tq`j+ z?THe>-_$RsG?B$?8eU4d!k9=dDE=Ce6UrhixrV}yC7F*OLMxPn{68u#-+Gc=h@>pJ zR<#^s8u);OvHU*~0fGGUrNrT%E8nSi1R%yVA&0Oo;8aYYi&8~86DdsLY6x&&O5;CI zmqi(gZW;S4l03sN8p2N_2dk#Kx>r;=jx_9ne*rb2L8qkndU>ooiJX5z0>`xMP{_ zSp6$?Fiv%KCV5@m+wRzSPnW0aj9(0{*gEU9DEslDk?JZe>C?CjWAsJ&4k?4$hvuC+ z)txl-%0FXO+!hc0_~1X=kl2%c_eHbqN=0R-R(zDL!5^B)a-H@cF&0I$(;!KE;$QMiYx3RK%q}nGAhE9x z0+(C1;=Bx#sBii6GVPQPwD{8Sx}C%b?WSP(Nv_y<2moWr7O^Iz?<9HBZ46#u3aB?x zE7}P_RKDEQ+Q0g1>WpGRCsFNfI*^o?ddAAfy&`D__N;|C(JP$4m>SsGKw6^K4hwiS_Gv|HVxv?XI>?oL`#g^VxLIQL8*$oV?Y8B5s?>7Y* zc<$P5N@Ge?LrLTlzlVT~F9`+=J&I&bd0O?B-kc;=NL)b|worG=^Qm^Z!GC?p8xgI? zNV0@XKM^r`i4Xgd&SGoQIZ9})F4Dd67(gh&nuJNdd;Q&#N5m6B-i_@TR6Wby#Qa=u z`qWaJhy3U{#ywe@2DkB|TGHdU>ICTisN>rObAgUP3c_*3hG`8!Sri27Y>@<*^6so``fod}u9dtfFaS(#L(bzZip=R&$VI(VW-RI}M5uMffGQ*kpuYU#4EyI+pJ%Lj6sW*NrI zX-1qu644QQr&*-PL|2kRIQ)cL7Ai<6sHoeTkpxw-B^_p7wFIu|kfF>c$c}ifeFZCN zR*WU@ERosuTuAsl`)WF7JdQf5ABD%KO&QbzbD77#SdqzdN}$JV$P2?RRwRa1eV1vC>5|NRczEG^=^n<`6=^EN)ZmE=9+{^t4=wG{Nx{785y)=53pk z5NuB7HIy!f2tgC5@`YftTEr6b5}w>p}pcMS0HEl?`kYw@@hEd^U#&xx7K{$^j^~O z(|H-bU<}$@mk^&yfUxJjKMM3;%At0m%avFIo8Z3<;e@K~TggWkjFFeI>JVpWgwz+4 zf&EO3&`q(MOCj4;wAImtyy9E8vstz+KwkQ==u zc0IJcp3EJBqAOw@cNEK$x?w~eEf%$o$4WcsGAuEp=o3o|kGAt}QUG>seXI7YwOs#% z*eFQzV@LU(W>K*jCne>)Fy8yp6t!Z+vX}d$86x!P6K-S5)_aDqrYahnXY;&gw{2oB zj_I6>biw=BhCDy9eN3w{oo8u|T8SQjEa-Ew?NMbL)A(m;?1-KLo;L-84rgin_c2Gj z*!Q9d>a!DHskZWw=h_8wTy2WsZc87=H^IB2uqPP4F1`ZNbJGYIugc~ z^pIknQ`g(nLJBXg4*W$U<3TIj?{gZ|3J`1b{v>H%jm29RG>V-@n-3-3%9Zzl%PaA$ z23++NT47O@q;DIfcCw$2LgUNo$J6RV`y~h(^c8yXuvZ8wMF!&GE(iKMdS?(gR%zn$ z9S#B&bSI-M#8-=)BZ3#-mO_u)knux@j|u`95oEHStb`|z??Kjqk3VejY-nps_hSm$ za6cl#o9vAb$Vmn{-j`-d79F>U)gxBYsA_3u7lZc-ycAHVm}EO(S1cFjJE7XOJo@{_ zfu(UKgw`38Pb(*eI2bz+$o;-7_BvA6YKhd@R<)KA(52ads-=))m}oD)_KQ)?851S~ zZnYpH4&hnzN>ryTKT8=}!ZYV^3ng1K%gyTBAXCyTvF}gK0)D7F_s?80@n%WTm|lsi$|$iJy7JHbtkC#65AM>b!U+e#KEIA z$(>AdUqJOcz5;qrY%iIU9fU(Z4V=N}m%-~ znree=NRmesrqGJQFiB?g1Hr>h(_8?kpvU<&BOh=d9cfLi;3fDsXC4@5)^%!&AW%(< zBKw?uAiUnRgW?@PX};(C9!;e&{z&EUuXN%tYBoy3QfT~tSbTMaV^-X8o3i#i8tQ~I zoX3ExR@A4>@%;SwZ|$QY9?b75%V4o6c@B(~mbdF4pnYO|v&V%uR5n~898x(F$w7A- zPiT>wUYO(GHTyjt7uc+lRcMVQ1L?7mAz%@q<+}sl(=_o;z@di9{w;hGAYWA-N2)_# zCy(S8V|DajVSiF7U6s;i%_TlMt3H@@iQ}q-o=WJdUOZ3d|65O<$T|KaN4n@3=;MNV zK$bXaFuc66)K#+2BT|R-3f{>5mGWF}eR-TJXfjXIXCj4m|If}FN-6GONH+~?8+=rY|&3H=D?wJb)?WP+qMxuz& zxab~yUr>!x{s;2APopXj4sa9oSYIOIBUy42Byv)|B8*0AlB%9cM`2A_+J}U`g~jOg zPq8r4S06S*z7~jNePb=jBA3b|W6%rbvfQll^V&Q1O~AS0SnCvHF4(cFbWIkNdrNz% zAeD3DvrBnEe@Aw{jaccYo??PTZWda?My0gJYD^SMa8qlQB4LWaBInWvJvs_zP+mZ_ zQP8GLgNaK!mdK|(o=a+vw4nt-KQ@VwqP}{Ss?yTa+ksPuky_ zM0d4H@2E>IAz>hlb>3Gql5!++ZUWDskI;5g*H9q}lUE+Q6kD$9Y}dQ-C8XoCv$|1BYfEaoavGWFioA7t7=xACcDQ0Mmz{-C(861>}oZMEOxM zX7Vxjf*W#Bp{nQY z?J#lXTD?EyyQUTjun5*Bn><)kb>4M`Y}a%=S3%!VQx1cZ#?x|+J&)8^Ws!iNsA2LF8qv+$&A zNdl2p+-caLblC|dJc$8XUZ$7y&aNdWJR_L%UgiFuLPjoD#%e26ZZhR5wpmy$Nz7L1q?T zkMiBXU~P&+aciX|y?sD=@$b2U~YQ!9o6EjQI*SIc1;c)=14%1Y*LQFjfjNO z3_9JRUj)}X5Hu-I+>dQ}FW(d0`>C9_2)*n&uh&hw=Yvy{hsbIZ6;ZGMEX0Uf-RS zCoY{4*}A3)$Ge-!olOrtKoz62LXB7p?St(wb2#>6-mg*&mvYLPh^Ww9GcD`YnV^qg zp5^G}$a)U78%o7E(_F~|DgshlG9( zhvQ@-#*fKiECuC2YYs*^c%&O{7DNoXV2!;lhe%TFWena#PEiU|^f`^}!&OlO#kgD% z0L3+_YTgWbW11=)9jAUZr?C;d(y+$qImjQEXrI78SXu=3URd%hG@s9I`mcka<7o-cne2> zyy05*QDL60k9!)WMVguG{y5}+tVI&~bHjmNTw#`I0B=g zaWczG-7E&N@!IRmuGIZ_W+kgjHW)*G?D;dZGJbTh53GwGHrtEOh#H2hSMKJ9%MfG? zT<3~?DH+c%67|u6XOnj@KC>>92SbOxVvMsG0pM4AStGW0RQvs_1F=R4} z=ZU7GuQW&sw1c@N9BgI&`bTsZ$?9@di)*d`b@IY~K{`fKwF!W}a#DqQEM9Diof!*| z6P!LJB6^UOnmb~9-ZQ|W>&5qeS2X#(rAbUop*BqC5~iO#+Yn3_T}M_&nBy44pIW8N z_)WUxZ?jz1l!h2e?`_?_{)oT7{(fpUIZb(S3D0;YOMW%}+z23$u76Wt3arhxE?@ts zxlgP5OysOQ$55ftwRvkI{T?lRPz+(D3EWLv9UU;2GyCL9Uvifsmiz0EIR~mmceME@<}27qQoCciulNO*rOS zGp{f#AN2XX+yNDJI~O|p6kI9d$PP`_$Z3(#eb56YLsay@OX*#c!d@w=dEW%HPoa@# zz2ba){SoG>xnjpQX!texSNd@#Z1yR-T6wAaFH+`AhPO@)StFX_^@r7!A}&iH#JJKv6JI?#`l=Swpyol|9hD+A zuLtT9EF>vbcXBskU@HG3PHu@U&4ng#I%M;1Z|i=0OLxE9 zEiW{!Y51mVJ1~$fUf>Y0r^@M7C;jV zPKaWc2ND5wCw05a3-{CQuM$}$A=EOnQGl+n6BSmJ`tuV-s0~f~9qR1h{7F&YHRLCz@*u!`^_xfKj$U|LSJ7MTh zB5%7~0;Z#{`yAVf?rIiDtW%q~S^@x5wA<8FlVw`5&}E^CM+7Z~x)t;?zAvXSYN7Am z5YpBoZq}^~OY{1}`|INp`aBkM?Z9xuA?j_>^lN$($78n{tm9|t1Z2az+RO1MzvcLl+m2pyZ3LkteDJ=|)-+=Plpc>1fS@tBF8(iWw=Q@UY^vtCq^H5op?V`{J25hB=P0H1j$v+)bx3ddZ> z8;%~@vqW=Z+P7j0zh!~(R34Gd>3yB!ap4+U$N@I-ET_Lr-`{3S#m1~+f>rUnm?9v5 zs|ejSQlC)&%sySzhLdW~!>z{LL$U4Vl{out{^?3r5YiuOheqwE+5St`Dmtsj+kc{W z|Ezz`>J*?emoU@nq8x_G!~!&BcqPSGBW}F!4BuN4fD`}fYSp(XhEd{TTI_y2w@5L_ zNL1ii6vRn#I=4dU*wRGC>L^i5SQj6dKL>&}nv43FP2Vo^QaHRhN~Q$puFv}<($|pn zrWjeb`17*viPv4`FLglAJCbBLj|%_R1}XmKD)hHEYZ6NcLKquBcc{GFl4RQy!oBGT z4JUocqfgFhbj)Ay0h5OvipVci8*GukRBgVXi&R~l=`+6Iwe*h8MdLdKI(C#D=yZtZ zJ-W{P(i8dr`1L1G$i}2yH04@YqONo3dt-QziZL2O9EPYOg9uaR^Qharpx9d6b|&xi z&ey#DXpP4bTG6@^DA7}{O_7lrC0+Aq_3V>YJ?TmT#h*cPW=T@MX?_wnV$wJ1YBhWR zSYFS39y4#ZA+D}OqB6)$@Va<{B@nS?-s^Ak!AsKAUXa`7{@C7k7`ttefAUXD3BsHU zhS=sPv7-vOZT|VJa#fCXRfWb(rN~+@#130nS2st> z42UC0q2=&Ak8hNEM?UPTFvT0Tp5>4*ALZIRc{?x8)bn-<`M*hbdj?uhWwElmG!t?S znGGCZ34VO+r}NP-pu5s{YIE!=^>Bnl$YcR+zHGQme9bJ$=yUe*dZh&tD7O< zqu%4OtYun81X3J^VAV5N4!Xzj{Nq_ys|N@wbeC3nJ(GiH29?fuGCX^KCP6x9BSy(Z zH3sk!f(5Fh=*#cUhHP$J)2phkj;4U>IYc8)5v6Jau}lC(q~pL zD5D68SXQsY+N^uJlE;O65BAPk9-bxj%Dd?{rvcPS47q#>yYTegu-2;>#C8ArqpVo> z#aR_tcXBJPEIiADbFM-SU2gjA1`7+*lV{AA2fSG21h!w~*un}7EoPp1#}NP5e?l+c za(LoZxxBBa3hXj7Aqw4|2t@BFfP22TKK;Ez4?Lp<}cs;;L~ru`E$H|$9(g{ zH$Qpv7jIq--~Q~=-!$LD>MaKWAOAkA#CKS3A)o4IoVVIg&B?pC?TPS?)o4}=6+|j~ ztn30X-m=&KiXSt%Ms0^K)c%*yRu}5g8buVM;mRF7mVvJ3O8NSa>3zQ2Nr++E-$LEX zo^ASKkj8Fl1fwb?6hEKV|MN?~BHFl-IL&p0)6Mbi7uE$enten1aMpYJQTdPB`Lx)H36EP<`JD)ic_r%KP z28v%Tj4`*DYmx^uGH{alL=opnC1Ru;`0TS8iX4`gpBf%JG0H?pnn6UR+rek4M>$I{)S!srlrUc4nfXDADNnVu>{128tl)$#rHhp0B}Uhbmdx{?zNv>5an=h|pCVF&DIjeafd)(fpcdx&{r3t#s zCk49l+UKj(%z6Jt5DW8z9!*+NDPuIxh;9)K_*IwnR$^8K#3;(5WxrP}786;a6`Iq_ zdONhXX^x(f zgMD2%p4oo4zzzX@<)EOft+Zuuf*Ddqe#gu2dTqM$vB_b%2HrDH1%D!OmqIIsE|ac% zsI2vp)(+Rdca@ittfJ{W)v!Fa(z)JHD$7A*qGyb9Nv>B~w1WlIjefn+JE|V?u}dh# zcb_q&#~cmCxfFTqRo_Z(mm%_bCGL`baO%J?c*eN2hr|?n@?vg;oK1mO4^8nYBap#~ z7uMf`KpiUKyKVZ?qYYaNF(>Y8^7c@G@fo8>#Hi&RV4ud_OQ8cnX)>!PqkSXO@H8PfRk;1z*32K2Nc_mq5 z3=k8=XFDF)%%c`=o(2o}<&ByW(r1EOf8?L2v4h)#RR7Ykw;5)G4ymvt*QD^}=R z>2j(3C>+O-ODim9uzcH;5f5^_Fir15c%X#4wn0NoE(gt3(H0V_lMXNt@0xPY6WYYV zDP)VJi-JPer+r#oE5P-v%`s~*ivK@v?-DD^mZk^YdUVSU2_|NOn1mF%ReP)N-4*Z0 z?HPg@%oun8h{(*y%-9(jkvASYPj1OlyC23N;l`3131QJLZqw}oS}wcowsBt?sZaO7 zBW{TqVgLgh1V%zaGDG;jf30}#%zgGLs?n`Fd+*G({`Fq#e||qB1DpgKkG8EI9qq~p z@b)vC{X0CLMx7Sh>9Q=gsH4~oNieiYk3{Qo4I+m;bFx#^-cUF$+vlvjGP75zJHAn) z7_K`p>&pyO!)~z03YKRa@?&n+?|&;l9Nzyvg8a#K!Zt z6yPUs;@wUXH{fn!9Bq;97;wy=gybxmEY)xOBQ{#ucFp9ua*fG_p-SPjFdVN;^F!6> zOGI8aqtT`XbA3{uyF?EYbg+(MuVqUnWquVIXQ4Gs)8&lHv7z&B4c>7tiVr9K6q(?j$F3C_K0yzsT?GEZZO1>sU?aL<+#9L!b#E z(41w(H4)bj2og6T@{3q@aW?1`r$xnd2}QTEM25=+j$GcJVmY);$#=I?y-aeFZ{Emt`E7Z|-?c9t5d!_{m>>197Pj%8Cv)u4g5okEbIm zsD_x6r6%L={p2rwm?%94)}$(Au)$p`P7>o!ez`jS$=B(e>>qsdhu?ht&F_En55DmkS3uk)z*ji zzqeS){}zOP8KnLY)c^2JtEmW8vYZ1^CJUsWfo+`73$R;@MleTjn08ecWaX!o_*Mw^ zjs9)N89~(i@i%{$)BcA3N_BQtei6ve1T18eXPe~?0kyvex^LSfLO?c&CI!~U!!GfS zKOzDao_;MYi~_7hV=>d{@`tN_c-rF%qN(7?X^^uX7e1hGmD2W~^Ri(^nI3#zV#N#5 zH=3=Wg6bp{5JTv2)#HMtMf#XN@_tY$HuTp4kuPz@Zoz}gXORT$F>j(&+vUZP61B>~ z;q$A=(#URj*ud-Ol6NDJ%J??69{EO^gta64W${I-PI?Xlk+;;=pO^(NDe3;POm?i65^$T#Q{ zvD4@p)i#3Z*n`;iNNcVYdQ>cb+2xH&)i|Nbf<@C|10(^qWYdUlrUeVW%?Lm}0LeLS zjB4)$s2vheUto?(r^|t%t|hp3wQ2-thpg%xx|bkjzI8GW^!tUdu%WSPoyk6*BgqjR z*6Tg(2(UqpwVVPF&&&TC-+e9CgsKgkxR%4Z;02_{I46>f-5pnSGhg8tB(1iQt>Te-t*HKLaJF{KZpfkWI`|L>8&c73P&Wf zg274>1ug*wGfFtN1VfmFpoFiC@~lP~EeJ_u1cBUwS!jyaQ(_dx1zT4oA2<(TI?X;y z2O>&`6uJbp8Us~y_(B+855f1TM+<_J~U5} z@f`^7lXw>I)?A+l^nw{EsZeoZ&z^_4IK${(MkPgp+`8zF43{zB_5x2~7#GJSyWiFB9M^Prz58ID33o2}!ODD>QBW=$V!2NAA-$?hnLF_ysX&e{d!E#H zD0Z%u(?0fF)?^<|!nQC+8r`0( zH`Jycs-~XP)Y(LFgJrGq>!t4L)yi^!lgJSi*FE)mw|_zT$QDfbiRo=Yh9CmMMK zZQr~}<(Td^X~EPt$Nb&CTcA`g+|4(sUHfHm$u?q$kD<(*Q^laXhv+%P9>sH3WJGuXkt7*)7ee!OD0X6 zcj$$3$`)GGG|jY6G+w(?6RqnnNsabl49pMaR%=>qJ!;hw`k8bkEjx#qR?d6Tw_ag2 zu^LZo<9hZE66V_L<6OtaY zgRk^$3msj&r1nA?8p^^ub~xV+bQ*}SX+xtW#mOFZWu&yt4|{Fg?DO5}y&$8vgX^j3 zqQk&+M~o`P>-$0N)hWecKMadMYzP0r6`gIc+z?8sIi>R7e_JGVEzVI5DKg%skAgZ2 zNOql`8^Y{1jJm48WAj$lzxC)l{0n^47Eep2BI1?4y{p$b@qU;tg}E)5x z4AEuO^0!&rF-8n!84?#tV$UEX#^*19Av1`JB|$yrdMkw(mjVeqVX_rhOjtx}>^5fB zoYMDyJEc;9&nn9@97b}B63v9BK7yS|4_8^6H&O=7FCjA-bRDZggsgnb72PDEF;Mg{B}~Ii<-t~iI;9&TTkDcU z;&UWTjY^I#Og4xzIT&a%bdDt>!O4-TdEY5i3^2jq=^cb%mER@ zv{7vbf=kWW;|`JsJ4vL>@WX&~UlsJKe!>aBiD@q4+d2@BZHGU?u>WB+`BCJw z9ob}+Ox+w|R0G38!_nMy3MXu zkgbFt-~`nV=8Yumzqu2iz0GAh3n&sQ(ry^&ABJYG`EPM$*W$HgHfGF5?CT%KAr;Kj zl8(T;U3O!a5Yrt$LRbH#cF8tpjoWi4DVRu`#03OU6%kUn&PTHt-bk7XFhePB=d5ciLGoZhEJZvm zm`naF4$(Rk7clzoq?ANsPl}!CtS?Yqm2xl_uTc6geI_5P-|?|3V66m|uv%wnDfF1y zVoGlY)dcQ+bbMWOK3Qkc2MhQcfCSswKUPk+O2 zm7>WFwaX(@SJA-gh?|vMpENs?I9Q6Z#QR>;Zn{=HR4q`U@>cmJN=~AK~WH9fP0En?86kwlVRHXrBzJjbkSw@P7^aPz2AFfII6{!QpPSPG+NrbPUyrM-@40+5j><3>s%yl*; z)3nS#DA1+s>b}EXR7noSp`A#4bWA{1rK$JTd(pcsxK`aA371KK#dq`|&51Y)xrbG# z{2q#;ty9j3>|9-_&EbN}MG#H;rjFSrUrS^9><5DbGQEQaM+jH0fFj*o#8&~*l`=4H zBp`gZCk2QmV+AHB>-s=6Ykesi+7tCStJ23|b6+DgTN>WW$G%?suEfc)iZ*x{{=T+55j;5!IEPB(t15l*xP| zfEPJA%5)>&5|$id7_lda?!n|TYxV3Zdvhql5@sZZR7)Smw0!@&lP^V>atRAk75VW* zemu6A`G77*6!IW5hgJ!`trB;(SZvj?NZ|xSfZWjl zGJfgXpL{aaLU86w$^5J5Sy(LnYp;1=z?u3&{WgAnVgAgnG5$12rZpWE$XwLhHQ{%e zSUu!{!mLD*N?=CV++%vK$1TNzusJ)tdos~&TCA$}eo|g?1VTNqowqU55t=mEMJu&3uEp5k(^R zkE019X08daQH`SD2?a~Np3DywCn4lio9BwU6VE_{c!qYfGA;xlpB{LePs=toT}dUw zSVs6=92lO5NF0$I-ljcf2vrijZAVH4-h+=xhmbA!a6Ib_oXnfS zY|vZe`r;vWRAh*$7%y#`9#`NPXN4Te(m~&S%qZBdLoe(si}_SU$}u3HP6G{XT=NNX zN3V7w;O3I7k*o;uPr!Fq=jKXL*C32A0g^LHa8_DuQ%vhIt7gSw&+4RLiV`fcVZWUZj%0C}MOZt1b}qPVMR)KTpVPDLV7ARn)@F?X;NhJNf(LmwM|0gRZkPKZa6GeFr;&`E}b zaJ_bDbafeEIz*;)jh=|OPWU~U!BJx%q#TJNcj+|~1p`Ip0u?2OtkEBsLt*1x+9X+w;+mA56w0v5k{ z#u<_iz>mbR7jYG=KLjJF?Eh2&eN_oM5L*)U_Lg^+IFes6p^rGT*pUIie{92Jo`0$ z(?5zvGNTb23~_qOc4_lAG82cq`M3fDA0B!8ek7e9v0u{(jixJ2m2c#2qy~?-U`EI> zP=xpg6%lMdiqd?NzzyI=;j01Zaq~7xqidKu>r`Z<4b!+5+=m}WXufcXK^0dAKJ8-( z^(iDYAddtzbo%K(i75>_$-Kv?cgd(Y*`;Mk!88`0QSZPE0JBW66fERLOf0rWrZO z%r4rdyk>Wa2))n2!O$G1Ynyk|ukHQoG|Q9CIwb zuL=PpR1!9wx+$9B2Is$MOe(mjFc`8*bL%N7g~mi*oXg#L11$d(H`Kv^MWYzUZ$+SU zt(d>~Atbn=EU_3lq%FVq`MoxddUD-D#Oq7@3^9@DaW(tYcJz#b*nK^5cc&3JWS648 zB4blh$K0L7Pu^CeYE_p%U=HOiJJT!V${->wi`oPxqPl zWHU>3|LeBBADss2RcNj{9D0M%>L&u~AHiir4}9(I=)tq_RFtU8Gzs)gY|oI;65fcb zifJPGl_hVh09Mq`Oq;?GXKKx8PqSh_d59R){{AT7a9Z!bX1YbW;)pQ$ zIg@v^&$9ZfbYJePZNr#xygS_4aleJI3N0Z&6H;=SKL&Rl)xQeDAiFsV5D6h?cf{1q z)I{fG)i@NJ;KOPtde!A2eL*4imlS>)63yX4h%m5`!7{k2cl_}r_C)-6G0LSO? z@ng>9Iae^hL?_#{!$i8v%^yVuk!udyPEsYWumF{8JfX*f=!embZS03v$6_1eL`}(& z!OT9viT#iVO7&qQ(IS#I{$O4u5%~s>RbD_KcRZdYpGqD}oi#ln(e()-FY!*#$E0ez z?`rO=PTFbHcX=~RO88=f+6La`qI<^xUXpNm(T%;&avl_wE=8Yzxf*xM=S{cn@^tzR zb6H)zj(pw%f&F4dLSvsvbPUR>6T-BjOcM@DduA+!1d6LZl*A3bSmoFI28S2(Er&-> zW9X>M8XcI7kdwhRdkzkzT?fN6br-E<}4qOI55&JGyJK}IHAyBDj4mgKas3u^cuu^C&)Iluyx65ls01H9vy)1*YpZ{7!W&KVvpvQ#ED=-j zT3#6I_eQ=OZ=78RQLSrdn=4vUSlCKJ!58>udw&z0bx$xQ(c(u4EhCZs(;|Ioh z@TPvP;ETQN8DJQ5CIZ6e=5W)P`i2k(RVFuNuif~8Dv7*!|68xV>uWrN921ksYAL@kP>&zsmQ^S zb=$ScxHLR1U)c5p2zLTxir;678$~@*)agJ^)Io`w?pE|Q5&AoDcSR*g@%Z|XsiyGF z_8p-xGY0#$<`aF^*9S7*&fj$|THc(i?VX`1@^ExHzv-t>)GP}GWuNK7>`V5F*80+kKEY@NxLQEvjPT09T(SDE)2hI?mDL_9^X}9M>c_SAB-|5g^hEETV@~0V z25&~4sa*DQbxxvEueYj_Lt~-$CX-CPvh(cWLMVE~%&d8Rcc>Xv>6VUJ@x*xiPVike zFIP+wwGpA14t+9K$+Nu81qJ0JH@!k+p|kbzVrtmg=B-Pq($sQh59#qlNn_YXX|oqS zk}M_DF*kB8zU+bI_)^h8=DNs^OsW2cyKvr-BJG|lS>j;`j^rWN`N0N^_Ukh*4n&xR zig_>iE>JW7;XW`F2G?#7y=At?hJ35N&~&*YPI6w}p6uB9$ki0`V3)+2mtlw8rX2<2 zCS^C9Y2M167Ah2v@H+HhQ@tvS_Vp*j1DK=RM0lQ&Q(D-^d!>e@^(aNV4w zaJUu+AUy@zeq(hd5>^>oHhKDdWZpCx}WJk7c;K#qPBFq196P@SY^!z`hU#UJ-p)+y{6j^42>fyLb@Qn$}l*NhJq42 zDoN0CgAJijaU`ZdSEo6HjP-JN)FZCa#W)nK6(9RDFPQvFM-1M$FxMDVYE~!krEX7| zj2njYydlR#3sZJSYfez^Dwf&teJDFl0_SNzTuhLr3mQjtb zBMuKC?I>BguThT`Hlaespr5*!X~ALCZ{TEx6RK|sNA#w22USxwYbjDQvQa6tl*RhS zL}P@{!_@T5cv_}%UMD0amnYqa^Grgd$b4L#mlqwihdH^@Q?ZH)Oqoi?RnlFE026uf z^r0!i1(t46>kCs&_ETf(Yb}$l?%B&#kR2`#mR818&pc`3Pre)8#4r!ejgm@n?4A zzGg_3lcK+1+7DhB(tm5|h_Udhk-~UBqKA-SEe3JMsUD-p5U*dN&X4Xg$`L1-AaK&@ zDPzLUB7IJ4D{Y71@*o=hbsYbiBha+4Z*B5MAsXexEOT!<_yn#5;IA2RpbOgup0)R1 znM5n?-VOdzzTZ29=y0xGo?_!Mo!Zo4$@P23m2m3VRB)p%hK^^wV>%E8_UO%=$p*yJ z!42k$i_6sC$RZXP{lOR@OUstTcab4lE)sS>#O_9KdAfYe9mEzhWKSu_#y|Tu^&~q9 zMNLmcaaZ7NcL%(T6xFhO{Xz33ZkziFe4BwMy?cJHtm6CWm*A0!Di($G4h$F(>ATEw zmSXg2Z!?!aERS(mj>}E!#*Uj9DJbSC5hUq*rMOGcT~s|)kSCr~ zD@hWtuyMe6xhSM+8I#RPvRDiy$dm-OM3>Ru&~}`_i%{x#66EKS`RxeP8Zd&+l}J6$ zb3Dh$j(ig7H-sB~SJK(KsQA-$eLu9~5C_Ni-Gm8vw{?z=qb!7m>>0IoxeP@7S8;_$ zaX=?cy4kv35QUCW5U-MtMaCR=UTB3O_|zbBeJ>1*0_+6GumiW7V%JO06UJ>iAuT}k z;l=*DP}h`F$d9p!6W0zgA1LR?;`6u9ET(fsmlHYVApNH6b-__bB#vFH-ijA8L?@ z+H{lecqdZNhg-2KEGZ%802`#yTWmrM+e-|v?3_$6CmoKq6*EB3V?M zV?uEsuc*bh-%?{%*n3-HH!<%#|6U<^yk5h__@s)butLNu&#b>kkm~-A)Qwz?8iET? z07*0kiOROcbAIVRYGW#pH84q_O5Y&rX`+FGMxp3a_35gl%QUk}GIaBJkYF$ZQdqVw zzIl>76vuA6#lFY9ssM;pO-uXLdjG<=d%(9P(3?t)iZ`#l^q_Ab_y_^9B4zs5t031q z6@WsFH<6f4dQ+uaaZJ8j-}i|kxApt4ijD)_ugyE1LdJZo&HEk&kc_=l+T1Vv4Rta( zBKo6h*X#?_g6K%(wxgghT%?vx0LlbepDSg4KX(o4oprShxK@-nbi4XOmm}-0KHv9g zNY>0w2}yE|6LDwO4XgN+RoL5oRkSNKwHumhQj~8i;&(G!y)>g?A;?BZsFGmP-y5Ri zDYzJ@$BEG-jujQSkLj6DCYbno>}$w~yq#o^&8)lPyqp*6Ny%9<6Kck}#LdYom=v-{ zArV>Had{)WLd`fVO-r{gkkk@+)UsYB)&AVK=@XcNUmPJrtQU|WBOaYY%(Sg?JnErc zMNHT;5s!EVx~?00V1~HSrXNeOm$mUe5eD*{w!&s8D7PM(nrTJpr7F>obSbRbO zS<-jD)u`Fb$G`(CXx^3=_#T6QdMs=uHL>U9or1^@eB*!oL_b=Rk)n4I(_vC2r4>Og zY{~gH-FnT;S40^#B>4b10is~iZHb;N!KeI~zNi+1nCKxDcn_Y(k16zCDeZ`>lQ?;a zcUAllsn1<{jq`twMVGO_eFzmDPe)~iszUe>MxPqun`RNUAragWeq%qlpBjJu=O=ma zhWw})-_?Phuf&X z{LuzgA(8!4wGmt+DAq%jo$$oOYS=#s$B{TzC8GaMz>{&WA89+Ga6C|%&r#Ha9ImsX zWgY+tT<*}1eR{_9IAT@9#^Q)!BWSuy zno|pnUI0hw;_S%0tJ;t0aQFt|i9iH?OqY|lblDcQ9HaoryH?e*D{?ArwW@toFe^~H zv z@d`D2ojG-dmy2kj1R8IdVw?V<=%OT|umja?o!gC+`f{K-5FwbK|EBFASH11Nea+(d z8ler7Q{?S%;`&7k-nM9oKfrg==+EIV7ct?+#h@f^x;ui!VwM|SNt;v+@ja%^x;L#f zr|wGcVo3(!Tg__SJEVMOPOFXd9Q)dE7c(1+IXbaaUioIEdCNws9u5V8u_vJX%Rb9t zB93IwoTqtRNK&71JF)s;X)^xvKl{li*vwRYFyZqW0wN7Scn%0&oY%y4C?xzs0{}PV z&^Gx-OfeHHO*G;wXxsO(T2r`Ki<25^(|<~nniVy{B%AcJ`jmDM?xf>-O-D^IV|T^9 zN$j*wr%gFj*A(=*;o?J8=IGv*6`v6pPCzRr58dtQ4f7@dLBNUwIdLs;_-E= zjw`0<5l_4|A+-rm%HUmdY)f*h3_UR!s!KaEIIrWn%!tt_jf0(VKQ(8RrF}nqi0AFQ z7KC5A5w_xWF&SfQ&&N2HlO`fg*@#t96_qrOMqJMGtPx4xn+dqcVX7`WaLTMpbE?1y3e<~qz(gLyM<}HlnR15Bd|0zQSi0~&_7|)$*BYFtuZG_fymEq`Y zA)Azo{jk`4lY)IK@uz~hi@74}*j8oViaT$GM#`hPg>15DVlh*FDMdfvJoPCwH_Rxj zXUbiUA{M06T+(B2s^{fwEn1nERU13tjEUfSNK3sUp1*7-=}#ae$h54UnDJ)5xx=dm zb}TN0!JdYnn(ZSE;?lgAp!sP_uB~83MaMZG%wko(Zw>{86t>d|Vt=-ok#hw&h3PTy z#LT;l2T@xE%<*%H!LSY){YQ>eRJVI|4kDY2-eA%BdS;N-rBydsEV=99l*=TaPKz^` z#Pbo1<@%+-F;|Ic%$DlX=jXi4`xTiVb!yZL^_Ehp!K|UvvBfX0v}swj7A}wcBWFih z2D4|iB+=r)yOAgkBo8a`I$pgyrzO>>V$Pe2=-H>`;heY6YDmsv<~+xGmrByIRYpjP z^z|b%FME3nc&@c4wx`*UxqtmSnH20F8T(VSP?>4BX@)C6y)Y3zpEcrH)a_(_PJnqU z&f*wOO1{!>!6IhnVi8Li=l1$`T9)qb5}fZQ-}IoIa*r&}H>5{}oYTDjA!YaH*YA;e z*?#ll&QjSf_}uFo5&L$2xBHHM;RO5U%7L6TGbyNcY$U580u0`JjHgc3I(gn=J$(AJ z^Bq;Z#r&#T&f8c}nz_0fz9+s-t8~5GmdT>ix|Es~pKOEVcK~}@9GE*zrX^T#4n9+Q zD2R^g_1+G}`U^E8U&7>r^i%FHRqs>dU-_0+0*Dz;W5cL8HVMX7LD!UyyueOaE1 znyb5@zr*51eKl|Xl_%k6mdmfgMPvA~Cm8kJtLjz05o;uIGW6H+FsM~ZBpa_*ql%r$ z=LBYz@}gVjgh^x>XS5mgMgk;jK;*}@%3OaL9rf}<^(6O|B!$4)p+em8JwnE6Zx0jv z{qsI$K?wo;oDf-!AO*y<>M@mt=yxyXA(u>h<)MwdNA_IO!2CsMuk#r}sbHl|4?FE~Qj=G_5Aa z|BZbiXA2mMAA8$zM;{K&4Wdw(J|Y091X)eW5nt z9Q%sI*siDR#eF^h%9y3U$&E4lnnKc32yyXdPl|O|r`X`RPCP81*Fy{6CJVM&Dc3ov&y3CZHX(`J035g?d`A|`R-Tw`C3;z`Pm$()VkQ)w{u4I5#x>uU) zBW-P$3LhGBBNJMHHi${JOVu#jLYp4MI+q{mh6V2Vxhh(Llzx;jtpha?OxDU~_Lo$e z0eSVOgqZKUoa(3q!p2D@&5(a+5<+*+^dW>4lrg#M`>#%d*2!!ZnV^hHRLG&i69T!F zaZp(&m9dERrNbPFj|%nrNrXbU5d_^udmSlfC9_F$+-fr2pF`F_AGeuc*sy31p|s|q zHB}y{>a-UG-l`K5e{P;COexkXtb<3`(NK zsO+*QaBB{6`>9P(JnWrg-&+I{STEsHb3G66QfjWLP-jKZ(lpTlhaDD0!81@bijMfU7wL{9d1j!qy}l&A-wbRs>wTfH~5BdY8OuCq!Yt69Q-QaOiuK z4^^Zr3fEiQNDAeHmc4IGe=x7dU2sEDOKXpt?A-8`p*r8Badv5GZ*Sqpzyx1f! z3ZRSahQe%CtIaT;6uX}vZ}PVJy`EeinRwQt=@cc)E#PpKn)g4Vf_szI?|-k9mAbMr zVDN1fAIO&bml0g)crKElza?&767$ymE3L;@TaVo^(yjaB`|5BrV&Qg`oJv^Z z^}WE{zgLf_eWh!`;A5eWh--VHue%i(fBsuqrrG4;@<@wj56+c#bOCSL?syV$Q%O3? zkW5*JVS#l;IPJRG3(}K79>%Ug7*$+8;$xW>VyqWjM9&HXraQ#Fu)+D-<%N1v!1@#M zlL)JsmQw!>T*Av0d!Ryn5(yWiD(gF>n55}cHX@sc9S6ek6~+USNW znKc4j(pC_NPVoRa@S+oRuun{E0okZYkH-sjq70cvMag?ix(SEHxSkg6($_#zX$BB8 zDU9I4!$7D*-_fyvEfU@(GJd!Bhy(L=Wu5|Lk$#8;Vq)aguXh{E7wYeXMiBmC$Z0nI>=bFd{h zoj`a~(XJkVa$k^@JP32~|92^67%W$7N)%7@;>Ipq3`caxIfYR-%1!riHx)*(hRt^G>B(?^*{{|iC znG-{@%*OggNmr}9ZCR5!i>P8q=y0>)%gq_(TxQnPBrdlAUOwu&$X>t+=#am#f!(z`ltWVU;U?FeQo`( z|K8vF$AAAn?LW*?<-xbRWWjvWg9@Bh``WzB!`yT8qv@{wxlF~bf^`?C0}WIKQ3 zSEZd_`;H_kr_1eOk9kbz)b@*mg9F?49DO<=+*efBmni89GcR zh*N#WUKy$!g&t?;zmNg^lYjV|GCTdp!%FIke+wrTvSC#fBc#1BH913#tVlX?wI<@oFp1WfT(N$6*HsBn1=tz;^NLIZ=Dtfs8r0=`U_RID zK|gQS22ZtECq%7=;?sSCkFipMKGdU zQrU^-ZX~Ckkpq?`y*W%3GyQT(-!RsH>05)9Nv`u9-4Gc4D!}7a`J5>zO1h}yHqKhM zi*m#uU}O}1%z10=#PWX8K#7hGZj4Wt%85jG;}D|O`Z>ev(G=Aax|wPy$be}DX|Z8~ z1Nl#RY)jaKEl7RLv(J;^^LYH6P-4U9$?Ws+r~dpF{bBz0nn_UybxNm;`vDe3qV}EM_Z+>pi zK6ifVYvsoE(a*=vY=7MPJe;kc{ZsFoTc7`o_D7NLJM*Vl?pycAt!;4YeBZhcKKApU z(fy&PBbt64OokE9cFl)BzxBS{x>ati-t;=1O!v*tZ_&B2yKnT<_#5AyWaSb?+B6PT zVwFut#ax(|3KFdP$ko{v!5`*~kd+TT3C1n*ZL2@ofgnzndfq!~F>l*yimj;_BqHP`+FpKues%FAS zCII&yB77a7xj-5Y@mnOHfixyMQQro>eCBBSzWWeP{>1Udw+1>Lc+wo92)ag~in2li zdo_299+3q^kq8aNeWwY!tVWF{J=Hjxbk%3l2L5y=f2vLz9Dkyltn;pU#Xc@oBcU6swy@juP$E}a2;?(Q6ZfSjm*==~lA9g)*gj zgL;0yi}cV*Cg~?Kh-H{jKc%h|iFH5xkmZb+^rT_xZkV-Vmu?`M-~d*cnKuI1EKB9f zQlWeh_P@n46#U}gBl9S2g?>M9)vDL;I+t8-~!+Ub0&3=ITS2)}PR zv2E?FN64uV!H+aQeun){{TyRfDkc@GR&p`nsDhP=x`stkTqjqtsYbd0FffIywr|_83@O>3UsN zhvK5cT0b+7rK+-~uAPX6=TxfrBmK538U{#J2i*~x8h9fM{#W>YCIYrW9leJH-fGXg z&&>0aDzBV&A%-9FvN1i>perhCG_=B&IxsF*r5_1F)?ZzwkJ2%n5*7W4XWwV$X07R0 z$Gl`}H@q_~zw%WRww_XzTZTc0xvW1LF`?j^?NKcIb)YS*hiOv-@pU8Ji7z5XN+_jj($YpWuI7PyZPhQwRx6jD zPDQ4naV85_C@1kkT44Dou-5F;%}q+T1Hn)(2y=#Qo!Dxj4{6!pxzr(=hekE<#xlixIX zpYEJqt94amEiLAe%(mf5LQVmyT`_9SB7o9i$dJCNHoJ_)na`3cA?8yQ56U$|2ankO zO=dl|J99(pKW639S4Cf{Hf7yd>iQP`^Q`odAlyv)F092E_LjA%JI%2!um`H?kWR?N zuMzM&Guz-$;rgtrj_F3Sl86kt*-5P+Fha>|qJX52>mxzHE^nNmKnO%CgGo!RY=4;b zPjjE9&DE;R3l=hssALR1T#8IjE{)r}e6?y`P7>?51~b^wcR{c}SDhdg^fN@KI$T4| z%{D#pb!Gy2UlG`0Ey|laJ~JQdSN5{&7)~H= z9%0XiFj??BRj$T1Xtokdhf9}>i2LR%n*= z<{aCe;mUft;piBe)+a(r$*tDrZMVt5C*B&WZ5yuSKw>a*`VRNpDQ^_7n3va9C5a4I zvi;bWj%>*~Vl|iLTh=u34a`r(6Qp2ga>59GUmoxZWw3BC;pA^8QgYs06aZn%a=@0@qwA~q$1cCm-ko@3>V39y{XPjV0yxsk5{X5 zm|kS~ObZ^nmWt+6`B-0@9!dI!_xQhtoCO(`sF>O@zQWEC+-j@oYVe1dpeHarMjzQj z=sHRAE{OEX8cbAGmVw+i$*sr~n)~Y13!}_y+vkR}cqXi(TN6{UDxZm&Y&H9;OihLj z9D1z&b5Rl4;5j`Ax-WCy&`p%G^u1Ac;-&t%*_{a9yv577lDDeI1)oL4AGMzel{DR?VDo8rv*PhHRoI;&E@Ep4IOFg zO$mO@Y!o@s$##5IQ%koY`LV)&M6PWrrwFz}AD317{&y%ya@Tdcw9vyzaicT&vvLZi zk4wJhLe@CZGB(iLi0i3tMNj5rp9~2~(bAzhH2LF(a#(M%UDFwLx*U>4LYmgCIm6_6 zi`EWlv8yU^ihj}DKD|&V6seU8M()JN6e4x4cH*)%I-U4>G9@f7GXB-qg8V)5!l6SW@)!@ZyUMUU_Eo^F83Kfl_mXQ?Z7FhJzvffHW| z!&UU-0qF(}NCaBwO({kL#m@%#42By_o4JZ%`$jE9w|;HD7v~1cHkNaqai;(Q}%q`5f+;dr|%zo{S^af)^rvc&YM zi}>Fswhj6Ur@U>&_ij&tHxn1Xv+1hfD7K0Hv_m^Mc5Zne9-|NVM* zG0Sv!v7Q^EHW6L%&^6n%c)D0C;<-1%FynpIL8OoAAzc}C`Mzkx(@MaJK^d2+$*z_;? zE`6#bQAEkK#CXo|P}aEA8e{MnJE2Hn;yj^W2T524E-O0>pR}?a`o9$Ti~h?vv;Vy^ zFUt>*&6~Cp%@QQvM#Vy&%{G+>U+HB}m8d0+|FFkmkSJw5nAuC~DgpluN8I03f*Pg@ zIV>P&{rDkp7_fv=TWl!Y$BeZu^D?*8?4v};E0U_!Q!XQrjBkRUTkW!PMG?Iet+z4* zp+-c&RpxMDU)g=AVv*=YU2FaRtA=pRITN*DF#Ad;C7G0B$d=-;){s0!o%fPlA})doaDT-N7WGCY zqsyc~B6>*>(@?zSg`LJEXe%npB(A6*EqW45Fjs?PRx=3!FM`Gri1#il&|>o7M51WK zY&H2&KnZG0XG^V3+DgV5;-R6SD_TXynJJsbf%|5?Z*j;P!U?Gbkdl$;5iwj9VaAiO zv2Op-8yh_3Mz*>(uILxg1TKOdQoy0m`R33~K*KU2l=~a%huQlX&F`iIC z;Mqg$$0cHXO=oE4pOXCC;PRMV{E5+V+lrZA3X53o)aB!5&5Wiw=#|dX?W15UC)_QG z3Ivb9bujXsv9dL`R*MQN;-Hkx%hJAmr8I7gCqCl!P(G4>q&yx{dC>{SzNmR@=wU0B z=s@9tZ{)x7&-JzzHT;A%{6zjy62Z$Fi?J|g1peXE?_4R}q`P5~h#rG~$lrR?qC`cn zyPQ7bTm@Cp#I|XNs>HLwKdS1o@IU%4?&y3&zh%NT3`tm2>J=)0%dErez2385P4|pH z%w6-2*&-YwazTLbk}v2sK+I#?Xc^%JVF}wnWBr(y=dBcHSteouze49>7F1SQ5 zlEH&dP-w@HfZ^wgA)(LtExG~To!DZ;#-Uq5wyvLVl?)$T$UG5w6bSt}=_-WltG#ey zTz=dt2613RT{6f6={AT%t z7)-7&=Rxv+{yTH{NzW)%0*ieq4vNbcGS+T9I_k`~g z&18`QPMC6Hwe6}u{>`Ghv9It_*#y@z(u>48tcDS~3+H#gH;0~Ks2;^L@@^rVmwsY~Or|Wetnf?Nu@5q!~bWFsuJZVHh9ceQy z(V@c3w3t9V!!J7@j>H{iuqMxTLbs2iV_9@OoYKZ~{{)#%P6r-+q z|Itpc!q?T+xwOa9vGI@a80~AxAHcTXGyvII0w={8rHEpQ5!fP8)U&pV##E2YSAKbzP^%JQdy;?tHia@C! z8h4RS%_!ygsHy;RS%_NH&6y zO2OS+nRtw}*Z-HmKEWIH7-(in1TTQ=f<*E@tY3)ly_PGBwC6qM2ksMm`h5Bv$ zTrecNrcVkXe;9w-^y~fQ$SJG0L=|QHm=y#Nv2lp;?s~kWYzyKqZVGJg?KZ`g+83r+ z856>UHv>;%DA*%$V4QS}KlA7{V{sfdn_wLYeLEz37zo$~Fq6u*sQkXRJcUA(~YaIt36=6CZ>|N|L1pb?NJ>L;ewesdb0{GrBp9+?b$?MS5~ z2bp9+rmfSwAVSWwB+*dBoYw~DJ6u;sk#m-_)I(MdV2U@!N3qunu^g_(v4o_3b$~HD z4nC$&pFo6?4R&Rx(3e~cF4RO^1EXAYXFym~8{lS#JewUN!=z|=hPxbEsrHelfiX25 zflS$SC3fc1MZu@x9^w>f&`S5lz>+@uh0wh=(~%pvnv8F_%Y9U*r&bUJ1cEdf=(cBO z^piAJIclH0+0l)Wxd90UL8u9ZhMU~jlPZ4<8GhZzyDsk@}y&gH0VE+Elq(NP=BkXJVosm7q<56Gtif*a!}lz$Yz|l;gso4{hSafz1q- z8_LM*7lr6s$W)FA#0Vw=g-|5%FJ@jsgwX0^OF1EuO}4?XLs-~L@{XRCs9V9-c|inG zSaWi|AY9R@Cale$_z?p`$_4hM995%ODEb&D3&y8@HiH||b~`JCUGrEptZhKyup)lQ1X#=nhOB>+3Njc(vF3Sbe*3o%M z-Zm*kLTDj)d#QL*Dhj+wDKBCvoCD+E`Idfv2e%_@FA2JpkYQ5Oky+?^4Os%^5 zVx=0}A#y_3@Mhny`@}{=p_ua#%nAu`pkO)bRB@?Jq3v@V@vQ7d@ZdE?1yhkk%%3^$ zS6Y0P_zkqHgIFY+x8%b7_7 z2=7V6TnPn=&AaN|1((IW)n+Yy0`JTtaj?+q=X_V1_hWOOh0BK_Qg@WFi|ic%2q9+^ zeeG_8sRRuNktuGmo&@Y1o7bKiRu~df`5sDQ6PkBh#-R2osZE+Du{O9e z$6lQFpe@CQMcrgsvr1R^Kz8`Of&x5VdQ39&Zl89K)oO)qG?E1tbkM*`5`><*0=@p; zY)9N{?*I%&Z_ehJ;xIzQ!MBX~WXLO1^vc38VHEm zSggs=lVg?UxZ|-_8|fC|dh$Gf(Iz#ApHAv2N(~xaGtCj2+;(6GR6_{^c-92+H}5jM zQ5!n)5Cx1t$==5Ng5zblj5TI~n z*EDl~Zi>Dh%Z>xtF*}O6NjICzF!!(ZO8Rq1slck9@C|KzgvUJn>2yT$r5qu-^3oFM zqVY?MF!`jUT-~TnzRSz4ENhLI0(U9i(YsTM7VoVu!Kk1=DOo!-NB2uR{z8@>2N~Vw zWwk}cT9R;KX;dZ)Y#Y+m6Gy^3f)vTZy>k zefnZ^slGe@7gTSqxCI3%QRVi!8;9@_C5>OlyIfG&d7mF;u`HVN&6Y8K>2rEcaqF)4bhIr@jd&?ZB#b}$*20N0!I(VyT;a0;kM^>D^ZWCOS?|A zOSl6dj--w7JK@B4R@Pui(Z@)#Qc?=`;~P5G=123K7YF*64%D1$&eI?iyfRrscn~h+ z(;jm#gBx6ye|vP*U}{GVi&ztpmjSvwPB{Nh>I&OV|2P_bdIdYg!-HCQBn!qQJ>u@Q zz&Sk&aF+I`p>~&H9N2LR&yIc&s#;cH^EZ8-?yRfvC^632VSZrWHKy+FeI1&r)?jBr zpVoeKHSPU(6dX7t_1Jf;FbUb9axRZ`<>MO9IsL>JNw)=daj0*5F2hw4-$zXB@603sP&YOt#tYk*f99byRaPCo(yh=sONeA4{K@nd*;{7jS6v|!>+DG~72 zdyXb0Avdwz#6q3e$iJn7)7e{bx}jmGkueMo)doHEXwdC&{;B?f^spJ+MOw}OmSdV$Pt%#=if)ZF& z>du%hyZ)H@__^Dt*iyTSECBX(x)WDUIm3_phld87gu*!=kZN0QaCBZz|K_=^I}ho$D` zmC@=E_=~WZNsX@Kw0IP zq}?@Rtnt{A=S-`Be>l)*7AN2_EgAmt$Nw%~z~NF)m~qUodxL~FM6?Qe)0!BK)%B`< zsA&%81EZA@Cn|Yr0e2K62KC@sy$yJBv&Pfvj@FK}8D6v!d*oCJT*8W$LWsssS4p@7 z4M}mO^%wg;`5}3#^pF24X7Z5tNRuOh0qIm%ccpRluVX!@V5U}MX`N7HTGZFQRl_uk z4pP6kD5uzg%bGf_096%FHt8gvw5s0Z>6Jcmile@!sF?M?*QP`*h~F2V&giPc<;utA z_7bR`Ia;%`9RCm>;Y@qe_i5Eh4%jLEQ6n_%PoO8cX}h-F5qw}VPrCP>UIx7w9phSG zOsU`QvX5U)?6PM4yJ`@%GNvaOsCZ>V4Uc>)_38D2kA^gWjTYhy~n zRs9Wx7lnCD1`Gl~#c%+ekTZe#g){Etd2w8wI7(t}GE-F&Cj6Z3&RMlP z+cP5Ioq4D`f>+;@Kz6c@@4xz^uO<1V)MhPQam+DQTx)fhsGB|S7%5nPV9nNC?7VzR z#Z*AWjUoMXKh)i>IjZ8#iPD-`AKzKxkB$DClFzYkV#OvzH6glmLmal(Jm<3t!+@6M z@jO&YFv1}@Fv}JWB%YzC1{>#H%ILOMcM8lB_7<31+FPmbFtT^2qSE#vYgwFnRPl7B za>0N^Z>D0MtLYSBo)}F+R|s(81y448@k=nzvP*wJNN<6d(RpO5?G_umQM8_^YTPl( zp73#3r=_SWs_o1jLsAK0ZSZClJplv|NLEEk?q7Jd>m6|4UGIWwQ+CIN{q#5gmZdi z>=7;%Fkm0}dZ2&GHo0IIuDh1|%yDqWX=9O%(&R-}zT7HQ_);sRk`+x(8Sa6!GgqYJ z8c}p*AE0X5to2z*yLXJ^!VE}-AxWQH%v&PqUs*HVZ^ma0*!7M;t~;LbKYX`$kgBsI z8A@#dnrdpWNXngVlhfyf3EQNQNj=gJOs%|Leo0-^4@`-E8@_{B%jCzxpKHriVBQIK zyuyGF)ensbAFE#4=Dl)%fehMYR1SHnlBbIKs+cWi$L)YW6AKf82M428qD zeouhd4o50a#_znLW=otl!lGdg$k+`<`dQd_8$NBS_k_e#(B+e7HQqYFArma;)DP|i%pexNPXMi+Ki`5ZtNV?DRqe+Vr4YLA=NmmnEO3X9b zzc+k^A3+Qi+JVgtje06Ha6!~sRalBmYrCX%0PCC5?xemqA8Qba`ng)+ zSZ;af?>0AkbHt0f=1aa$TL?otnLkXD-&=ID=3%wy&P}vcpH2YGpw%ckp8c|K z5qXz0So#ld9BQ^kRgG8-G!la~C+pLLB z7(O_HczaJNL)rKgp(uPo=->MJg>h*}>U7PpbOjQ~n_`G9(bG#t)tNU@@2~TE-Q|iMH62a0NIN2PuJ~e0#Ezos|8!J6O_iLs zmAEy3@pxi3=C`{V!MFp%{$V3GHNXkzvzrjSbiBHdI)zL}HFcxVZ!*ay}mQt37k_yK;1@ZRT&yDYnaxw+Ytwd8AXS=7}17;VQv!(ovRPI zfcG9K(PxSV^KpU3vEJZ^D9s{8MDMMh)ToYj=%SXMx>QiCj@i3>U8zwXa|uP;RJk=7 zP;fsvqwXBAiawx6NiRyyhzPLVG3(PY>9bVh@iVvGV}8bX2ec^XrIB`O6(O-#pq19C z@<*kw?U!9TH%iZ`dU_EYmwqK(bx0TeThj7x_E4aVdKu{kwI;}34cHr;FF`dNE(rJJSbE|F$hIxiU4@BX$*dMtXyu+lCGZY9~8M z$e6fc(@0!+jImQQc5!C&m zsVKB!FGT0adkD$;*f;W-dC73w6zb*>#}Pro>kbA(97sBSw;?}cPLjnjw#FX)Jfp}8 zJ=e;QCtS-Z5k~8g{-%2;KB_OMyZy8X#{OVj;Y{euUb-Fo#NWhdE-@G|gLiz3Lj19-Y*|eFh<-D@T1w)?+VIV&F4=}Whorf#>G%Xbg%L|H`x`0hPh0kPvTC@5dyfPO*u=Cq zdD)0GK}SFcu*&D=FiyA5BLJ$g+89;3;wv=F=jfm-J$79;2?Y~oPb|)HR>3N7UTz8( zGp0Mc?w?Q9*J##P5BuRQGwZm0FX;w84nE>v)0Y#Q!t)~H(&9BDqzLn26YG)LJ+(YH z>HUg+Vw9j^7VpC+2j$xj;Wy^xp|xFR@1QTjeSI z8SM&fD`v~CNkK8_XL!pFPxr3`A@`jY>}Qu@NZd}JtHkHTDIvfdGX~r~BEK^xO>8no zA4z^jD&X723H0VC{7j4R*eo|9GnsiVLj*+(Sf^I9nYrr$f@7|R(?3V|9uLL zDz={?nHrGP3HpR}_%*g@w|_y0kqTRIK#+!0F)t03d*L4cFV`CjR!^Rx0A=e8$MXN$i#@=7rP!AQG} zPN5^d?O<+Aa!2&vd%|mYuBgoHzuY`=TWkzsNlID?{k%0*QCT_t%g_iN2pdy;RWDU% zZ7M;4Oa-C+CLM99HBSmNfg@Wpi9{>zsr$Tbs6Q7Wa+QfS6c@HMaO7qG zXs&QzsUw(^Co;EoozpoRWMEWApe}ASE^!8)Br9GN#C@J_Get&(LX46Q4ArT=3*=hZuBZU;9DHH-UKXzSg}C~sGyIGcUeQn`?5j+QikCxR zNhB5{dsW1sV;io2y&dAi&wd7~9X}bW#H=F0sRMn-*X=m!XCTmz0Yf0AiaV*|=_-BK z^xr`|uk!zr_cpJxY+Jt2xnEU}5YdKDv>^rt_ujpzbJmUTj}6a`w#1el5k#1o8JQU? zBO~&}$I6|{UMbbG^ALpM3C}}y-bJqP-hC8hA+NLUf$G{ToBjoY*n15fzcFS+%!rJ& z_C9s1K$N<*Pp-^4$NZji%rVFK{kSy}fFrGOr_wU{Z_4qZk@bInrQO~*ws1HZ7zF}h z@7CecN{y&N{1RCgU;xrG-rRPFx_#Nc@NY5G zu3o?Yal`twyiK{krnegBvEG3FR_>qN_uf1;)pQYZb(zYE|A;Vse4=Ytb7 zIC5l7T2G{AK?N+!g974zMfAObEP@a00w1lXn@T;{O_Y|cPGK+0nY`&AgFXnjcSXXmtQ-m>)^ z&aPn;$|;muSWQQm3rUM8ioyv)MlSaN#sP$2IBJ$H+}lI$&432-1d~?Z;YZFAj9GU1 zC%pM>;H?pf1GAme^O0SC3AqpV;&A#d1sFVuQcXo5ih5?D;;ATZ7Jtv<4?9sA*(@{%#41Aq7)sE)8^ zBh~{^{#uu?ICK{tji{&_4qyMvAN?&^u4fkN#QuAcLaS%Y+t!;a@h;;@D zrP_>U=8R48ak{hudu*GY$yu85Q_1R^M&*=Ch^PbsU!Ixb!#k0~TY(26*$-)grw=jr zgShiU7~H=Q+%@m=2a6a{eGt(O*{+~6$jxK`vxcz^vAH4pz-Lb<79aY8)McIv0V z&*ei#`>ijtVtbDr+QBxGji!d5`8WVlBU>;AKZ84}80ftP33}6?FZKsMMvytA3yhx` znZvux;s96X1$*DJmF9t#kOv?U*T@;&D0Ab;Y&ek2Ir&^^WzlID87+1UCEh9R8D!LTLL%LNB1TnWetq1*-F-stGp?Naf~}T zM!7LiP(mX!ZH~h&k1_oj+ki8VuJ4>%igpv)yv*F*eQs&*rSD$GoI&Q%eJF^{oc?`I z(N_k#F6k{=WkKR4AZsvl2QwIE{x3V==qF8ai}WawDqfUGiZEi>lSNW8_?Ui1k_>)( z#N%=+&j2Aw3TPZ0#(W$lMPE=S1W=c+e`a$uC?MDeaS>o`GE-baSKm*}$|Qlx$PSPO z%^e`7eROWXh%OrUMDnJKyn^&i#{hlD`A}vW$3wnM=gSuPxP7EPlw6=I^F9beK;F1U zMmmQK9PSIyVRMvx|e2%qc(GUYq>)iLQuct!}ANxV7!Qg8oxwx`)j!c z&|qN5n0AWLjj8UwnLixC6A%?gSD@Pf+rYui?O1pa$0-ne%*@eBX7SxF3tU4vFD7x8 zrXDFHX5RRXyqTkJif;WMVi~Cb$nH9?r}L(3jh3aiuMY?5Zsd(|DyrOCzl9s zJEq$>Y&uQfOaRZ@Bos+>QF$|6#|Z%~@_q_X*}at{WSA8gT<)5c{Oqf*E_rjwJH~^M z7iNxv8=sknFt`)q`ViX16rrT*lFGjWiBAK}Zc^2^>U^nfxW1HA-F0K5}^L@En&N4n%uNCF-yRXm^nxYOcNr^MI3zn1!6?By5d1NQ8vt zkXJP2kl0TgH+tlEJ9aY!K{k6r%UdEMd0zi{Rlp+9!c+@kbvr6+Uab><4ImJs+*Aa1|X&ht>X(S6fnhU_LwD?SWXb?fl zXxjt6x_dx3`|j{!zz&>_>YJM1&bGCP11g%uxb2fHCVWKOeaDUA|DlgBCP{Y~MB|P! zRHRX7#dd6!^$QU3pY!tdyY}0jc59N|Gc3FPl((;ciHg%^Nz%u6hmbwD?>yu_d%1H4Aj!H((rlsB)xt%`Ha&FWvjYjP4N@5Ct3w|yGwQw39*$F;-) zXhhu<9ee#NPJ@L%(dt#nR zemOnEWd75k(Bo-)zGgp(Ycmrv?och8z{O;6&%1XQZcjV{c&>OW2W;!XKu zCw2r)f^YBbXfPH^Ly2r?W({Mvb`4or7&I_Otr8F$U=vkPWdPI(1dw4U8F9bv?DmDW zxh)v^wW!+KMH{E z15LJve>e5lq1N;pBl{5>>!uknydjG>y6ce$4?EO`MhDJkY&@q`wHuy|h0%OlHxj~b zwrG5hjwfMERmvtGxZE@3YMX0T&zxB--k4H@u)v*!12Tj{CYhTNPOJF;bqS&6K zL$$AyQ82?Nx2hCCh55vsb-xkjC|Loqh-t~>>NbKHI4Es6x7zKoFR4hg|8!h$ILYuF zer0Yu8!!g>y!>fKvxmWy3#g17)>ZPFVE}op%LrrYO2cn&v{zT6g5uFCnQ zysc@>0O9ltd)5nFk!TR~Pk#Cydl;|=?Y8I!E8JUjViNM2Mh+vUfGGj5)F(}Y70YYM zz)3SkdTQpWECk)HAx+0XlemGfY6IZniF&G~gCTRf^@6kKt$57qc@r-0ll#sr?Ej%7LRSC8I`le zY(oPl%vzy{ntnPXHnISog()>44cH4ZD_+v9t+dq_JLg^P0)diqLsF)bCGQ%^8SxpP zawhQNuBUzOPEe@n;=DMp(j^lc3F^RT#ZzL_Z?~$-Wmd4^5zOiQ^B_#nB7-oFJ(Kus zY~8t_Q;2jlfIL>yP_9&KV6jU*59~rq(l(N%S^f~`%V){NQ%0NVoje`79C}F%CZZ*o z8_63?iS*y2x}MBVgMOf)&vLeB(FnRh7=fl}$?kU7_odBuZY}1V)5ZBJTtaNPbCM85 z*j}(Ce0#HrsSw2->$=4%;!0(Ly%{H=3!v%qP>zm<9ANhp7mxeRw`R4RUB z5KAGvqXR^K5X?9*Fzc&Dlk;hF~qh@4E}uoFfYCV%2^ zkG7DF8ya{;`W<-MI#r%uzuV4hgk*6TJE2wfr`PYk|Bh6)@4v&Y zoHv_dNCCk3Xe5K7`zmRi3o&>p0;vPP+`$h_9`BgzVoU*TEU>ggIM^-f;b0rYc~&UOGNAHi%T(F~I-WI4^pH zvsP+d)P^=MA$6I{i5_DR3;7n}teyedwNahfGD?vqE>os3@BOI(p+iL%Fe+;rwdfJP zY+h_JKP}z%>D+GWa#kC}Sj1qB(L{N4b)&oDV#LBncs~06$k0Mt*`{y6qcR_pfNBnA zaBGidQ>iw>nwP1<#|XLvrX={oi|z@iBS!l|>H&bQht?^7rdiEUY|8{p8>wqVr$>{2 z|BqE=wk@Q##WZNCC3w--e6yJe$sW@PVD*+zq5qt(TvU z!FzOh9U}M!A4CUWLUn1z>RF)w%h}}{-tlyy+A@RTGo8u>-(SH-SL}fprP$AP)OkQz z$k@EiK%?#;O19sY%EA*QKv8x$ z3^jFwFZGoJRL4%ytRbKr1g*tWab~_jQVaC>wOb3sbCKt8bUuc^rQ?YUX^Kl-4S(I_9mj4;15N-Bcu{s+Z$Y2>JXCa=+!pM&R2w=Sgix}x z;p?O8D~zm^2o7O*4+ftHZQm!b&v9XNQ7^(_*&KCD^B_jhnxC>A)FisI|CoY!#hTfK{U_uMa9G1#?Wv0iq~ys58!h z)YV1=c%$Si3khcpdYLIs>H`fWr_oi${WMFc1k%w+Jp#x1e5UrDI$G)rFORcZBg2%_ z#V-@WXz03w4?Wx9>TXgA(>s+nNqsus{JE5DaqH3i(1EVMemWj+1`MSi%tX)-u5mG! zw)l{^EA{Z`iV_Y&SWk7Kf>(Glq8lCQ3ln)X%tIyihQoBn2q z4>!g5-nuPdr52f=^7U+%J$<8R+7bzu>fDXMGnt#iG;MjSYABKK3>p_@`tAn>l{qfr+IubqdU>v_$^>@Z~g1@zn<|KZr}84prQZ4x`=4Gam2JEkl35df1~l= z0i@3xkq2EJ^AKxq9o1c+nZtc)czXN)+Ej7>Yza#((ZR*bSZ0O%D<5WMWD7fc5%g~y1wqbEBQ)+}nx?b)WNPfgse7H|P&%rTd zvxRD=(qNd@e58hzlIRYQe`OI)|H^s^jrF2eO7iYXiAUoZ|I3}L{bh9&1OMw9sFt!+ z*r|@L#T>Vivj$MXcu6-@khS@smh?eb=^(z-O&!ufW*i~^#~)~xB5|*R54VOrh5n<% z0r+#1Z*Y0le*wm>?WWLR``!yU@F#pOx-XyU9Kr#@L|Cb7e*o`C$7nLu7XE$!7%~6$ z0LwuF=mf4_e@i+5-38+Z2ZkBM;r3_RDkC~QG)0?5yV3aKHzOFrspY1;rN%48#*1R{ z>RMME5O!knGOCB_e$m--^|8G)L8-njH5^OT*3z+!;eBE7QaAt37G)(=lz?$_xGf%> z=$g!E3SJfu3|c5Q8jDRGKsqp74qNMm`fMzH))Xr5)YAp3!)>&c^5@l=wKPc)!W`-% z?v=TT{={DeW*kk8Lv|GueLwLR8|)Sn858#)&pSoCo$I2oSP zFqzn`IeDY0%N`CF#ikDfzu!~MjE18N-E5(OxP!iqCSwOoy_H^0J~N?`<P;{31}mN_663{&1C={I<2a~UOS*C>!9ZK5W1WSl#b`2P%JUG!Reg}=6YmWCc&}-0ja4sYmBD&IGw7=Sd zwA{ij<-wm<>FP9iCav&LbOQ+W2sqqBoWN?BEqDSxN12$)I!Q*%IbB0>{xf3JC zjmoMh-Sm=Z88js`N#SEKljK2$pFO4|i4?XKNgOyffx6A4WsiPjild4$>d?;-LQQw4 z>OfP3P8)#sgZ`pqY0na{dJ=dMp#mBZ>k)Fc zH$Z1l+kQ@$=Np!m&EXoJ`*Zt5OSDo26D$|@tS>^UwvXPRJ!Gxw>!k#tDI;=eT;ea5 zF{@tS&LqVc;kPBpV?(fPb22p%4UB(omo+<9(tl6(tge3gbNuIYr5}!@z|a(+>@*pE zNP$5*>q6>KFZ-b~LXu%t#D|37Z7E-A?p6B(B0Q)AZy*Bg7#5fQOWQxd=Q;#^+?;(; zo`t}|?pr~Li2=oIyeNe%7|X zT-Yi4FiLsKUvl{JTw!4W0pa-uIsrQC5Q_r+7m|QJ*aC`zPperqwEO#Rq=3DV?v>|e zjoy{BQm1p%+VD0(h}~+vLfjD{Z^Le}ICbdgRpoB1THQFBV(JEX8M88<$vm&mQqEd+ zQfgkr&3mHSgOjy{!Zz2Rr-vWm0IELkNF^qrZgmFKJXRLI7CwdPpUS@rp3L9BavyZf#<+lqu!Kp zKSXqFA9ytJ34V8GM`xsU#4+SBOp<-z{m9kP1J<5128wBn-SZb8Xu-~Ms@HFi4-c-St20G(>`hwG~ zVT2QKW`1%0H+n}<9}OY2C=*_kbpIvgYhQo*WX_jnb?LpA?{1DjuL3@=D$Q~e`$Os? zKQ?Ia0fTL!TWoQ8S-hwXg4TpP_E48_TvLa96!rIhIwIU`!Ft>DTMAxK`f%nl%A0vR(4BmSugy$;t~C9V@%$DBmLEtPac#vmu< z6U=mY1vux;Hs2ux9a(~u?%=MIT2Ba9v#F}2aMJE_t2-qr!ssz2oi(t^{93g35wSi{ z!QYY?#*a~$IvJcO>B!6rMliptE1U@ffYNY;0$dFlf^BDSs0JhyMjW_`NW(t5=_5Ru zVnonZY$Z^nueY_cNJsj%8!}`L+Xl99&tlNhw?zZe1+GWF1-HtYF?i5G@x9ZDe86<$ z25spWiVG9hAv9?rjx7P6Nrwm0^f9PX`5P%EQnB#td`0K#&`{lfT#V8y0s+c!`+@8tWQ)u~et z4>i@*>#1>b_HCZlUS^%tOHY%oQYZCPoYh*5j10bSwRB}~yMn09OBWnl2+gaW{b8}<4U2q(O&urL3VKNq}2z<^S&#}w|d-^>bq8l(APs* zZ%@PQ_ogT?_*1s8zvk+~NtHG%()HW*3Y#@at^ez%e`haVVPb?^jTU@_F|p~* z-qsQwBv4?UpCL+5oK-B^3a2PK7qpZO`Z`(O5QTZgSb5NOLH570pt4FleaBLj?jjbY{8&zEOej&Mcm} zvkvy|J2+ajHJQzy)Xf|Yb3svo8DD6;&wBEn>PE|^1mRuRM$5)6CM+yuEDi;RMuGDB zQa5D|uFqfDqxUUyqR`M{#$~e!9QgO0>(AyB4Xi13=-@2&bR`0d_S2~n0t>;2M+N3n z;@!_;6tU>!m3m7M(~_@v#FHi1`Vw(%>Xmwh+_VENo>#%?BWz^?wwk z@=#4>|F=K+fe|@5sayvHdeUjCk2@g4ggDXz8XM1ghR=Qn|9EV<#gqv4+aL}cI8l5; zM8@GT`!#xWsjYzpY-xm>!He11_1IV?0ZeNyqB@u*5a({)Itb}GY6+x(WdS0Ut*$;c zz1^RHm1qXUcvYVY7zp9y zdTMkkn9xAoD^Q2W`ogZSZI6RqcP(CxTqqc4b*d%O1#drQ*L-xn#}K@;DIg9>2hrHZ z64`A^qom=Z2LjVXf{?B@zrou2 z0E9i{Yt0@p#xZ6?epnrz^MledMwk6w9R;gtkTK=;$HF&#v%!-dXB9oaqFWBlO=qAW zU>Oswy~G!0**q&R_WGB22dfsP;;mf0Vx6Gp-s zs1L^SS&EJ+kDOb-(FYF8;Lveg9@{Rbnhz3$z{7}m*0qSu!$#Ntj1W!IhPTep-`sxd z7eAS}eHe7fq$3=M8<-D35gvxU)k8fekD>Ev@b=_FPpShR9$gEduXX^brR`LW#%xCP zWMI;PPK5oVvxku&g84m zd^m`w1MWeJAiY!BFVA&FN7u6&fUwWBxKDIh*}>>t?*JBk$Q^Sohs)lHoyluf$Tsl0 z)=tle^O9^1KO{BJnXizkvhh^e;9*!D0$*LJXK-kgbgOqx&%gUeow6@^yFH#5qY#j< zJ9R#5PMNRgJV=80ZukT3wi_6uU%o`k_%VHb|gB?NZr*mJ*|L_s6c|Z08B3Rrd3gV0@}E%Q-w|taOfK!z_j#R#A=rZ z+CQ#1VSh;}hgwEX5IJG0aafKwHuvB?>r?~v&o;l;RpIw=#tI1#M+LioGq^@Tq1@M> zINhbZF>9lh0HY$(yEol*xAoX9=k0;^*3n|Dg5 zyPS`X=;|}+0SD?10S%?`X;1ZRLU_JII&&O4d3mnc* ziJn@Re4F}kXz%`>vH(slancx&FdDO)4%?zc7;FdJ9wRAS%IH#}Ay^R1h*lp8#g^h? zTKH4rryq^A;`>epiy@Znv2VJ5Q?&Uwv~*mv(*+8ix(jxS&>1505Y$OGXmD-TawceqMdz4Vm%fqt^;Yx z!JMbOrG5U|k`CI`2M{q+k5>587`)60XwpW~e{EjuG19X?#__?OCUp?!NRwi(nloM> zai-@qT<6P?11!eQ4qzyAV%~+%ctvE!?hReg=y<+jKm3Nq6ljd<2$E75nT;Qfc_HXO zaiSxpVF4C9+w$+(jzfF9=Omt9i=>XJt#hKy?F8JYo*x^j*b2}?q(t?!3tjfQI+7>hqetRTmGvFXh;Tj-{DKM%MyegWV8>S5#tAdB$)O#w<#xwO6xCYwNGJQ_VkJx zwB*HKQ$cXrLRs5KZ0*4sSY)`aG&q<0ID@| zoh)W02&3kO2zK3)Hoa1UE2X#$dlLs>Pzn>$BX+k69X-zgqb3d-+SS$Sxs{~kw{-vO>Sw?|0xwLLN2*4G zsOXq_9NBi5j8PR64ER7TUe8*1Z$|gd1w`= zV02^cdILs1?4Ohg1IWmD)U1r}0@Pz+3V<*)TK7)|&Llb|NO%^}Iusyg${uCV9$-O& zdQR$G-O>pI*d03d1G-budC5>??8+XxfM)WbMyT^iVWl@`5uSz)quf9#60;~Rx*&o6 z0Qi-v2FM@Hce?1;Y<$?a6DwUu) zwEU@3=qten&JaJDK!MVH}W-5DzbdvH<^@6HrNBs@vGg zP=+IuuwB^8Bf4c#tLT`ZbCAxc9bGWn(=eGL%{N9v4Wt^Tumq%m?}kts*!i9x*1G)E z(&e;0qH6H-x?%E+`GJRorNxmn2^2pcngXR$FVvt77)@y)b0`ue)tB>84muE%Z0rgE z4`p@)EdlifojB>8cv?jBXm_L51G8F?@0slHrD> zCGBqgImZx?%m~vDzv(6h{1*q5)u)^~vZ5tX?@o%v#-XMjiWw}O?wBr)dK7;w&ZJdw zEnU9Exk7FPl#nFEX^zcK-7U zVo5_`l068-^@KNctU(v?Lv67s8s4k;)0CEhD*3F87|`iI__6o_id|ua<47|Fs^^0( zrU!h|wg?zK7;kcf>tXlp5A6foR6ynP>60gv)uW zbs_eW!37CeKTJI2`H!GTdQ6-sr1gcMZLInTms`@7M6WTZ_F9XLnW1Le!zeu>xSpk? zI0BQD>Oca1Mf2ueDKSg&r8U_jh7qE?5C?D^b}$9MmETTN`>9zn&QbFN(FCm>I6xFUKrDraPZWihSN2;&kF-H<< zkB1ycu{bv3{rv1HrVf41VBEN53lv0b2%#P6t!7-x0!82Y11mDr4{NQUqfw|ZSF6zG z14O(88evAQNN52r*NkrJYL}B9mG9Z+l?>jPQArUsX~fsS+~^S8tMj?58p zHPNU$#uVbGiQ#DhRzVI4U=IU;Buf-H-%0j(9odz)=`m#h*hO^XiAm|c=I*NUwh$t1 z7w&odc3^h}?tR<-Vofj68vHq+v$Z;$>JuXTj;i3NX+Fd_I~#EU<=kI5wKd1pd`rNr z{J>T%9DyL?+aCB%g^uaE!^VD7nD=>M|0*p~;q&9JH~QHItYh6bOy@}g=Y&=sLd&8h zC;eX8mnJ{sbr;++&2w&-IZu2J6mb;v=8~?H!_Tco5CAma4;4md4c6qQsn1tH-l}p_ zFwBvb%z8In5)*@_{fp|j?@JhmMnN81^Ftg?KS&bEYT6uz@R=wVR_Yl~@Rw8y#(}(= z)l0fAcKqlEN;|SYMau@5NgTuZSby@9_t3B2KuXpis2+l(%DU&r=m`=@;~PhA5P5S* zWOvAC@ZPjto|hU;m%|$9{EOTuo1-9)Ibj;%*M&l75-r#TW>b>QF^`iW6Klqd&_2S) zYRIC{qie7MY#a_*=IFJZ#wa2!Gfn)!#4Ps5LKf&#xU6MN~9V-2k9DmYBi zpg1wXh@&Cj0{^Jgm4iBo>z4sJ?7iIs5@}Aw#BMwX7f#JSSOKdVfNoGlLV-@dl zxA=C;rpF{n=8(budZ!OyUy&1K8E&|Nfu%f6B?E^5bS%(Rr%sHMBui#k!0~5VCm0KK zQ*}e%n`8e5Lsr3;;}>!qL;2po;EIyaWs`wH>b*Wit^*!g;%8B8bw9qN5){nxsb&y{lxQ(>odnc9HySi(Ufvj#U* z$?gjzmFxl;n36nitXroleuMhFoKDbNz-c*%Ne3~5L**B=D>j>jdbnd{Oys~XX;>`N zJPIdS=~}0MNwuPE+1*|=$O5Er0qnxz!zc&jFZ?>mJTy+JH`WklM^7l11|e5GOja!( zLP!q;+6{JzsYdjlmdRNHrYJog*{LdI@gB7+}pZ=fr?hw30g{i zW$udpaBO5B5jRWP`9O?PYLEct?*3&9GgZC=o)XnBr|p#P==KLj6;UO$_y=cqMI8Z1 zzbkX6+=xo?Tr`J*!8H9hOBO*Iq3OY)?E-V#-j+3B2}sg;E3il~XRWqaBy6@+3&teg z+86NK?$8cW^TARbIwKksZ4*6Q%@F`wK%~Fvw%@}@*&x27?wqbKTV?&?$0qwV)uG^5 z;(2_v>>#8usU02&SN4+eaDnCLBWXOBvjcYWGyDz*>`$jrFE!(}j`L|xGoshG0u9o3T(0Gg79s>3f&bV7}@pMMngr0u3f;t?n@ zO+r#G45`USm!+ywZ2)jSLdMcQf8#xV5PPcXPeZ*sx{|h+3b_Qu5O-kL52I*JcCTod z0V_-YyIcyr+2Xaf7-k!T2f$ApSPW$@g{tusoTeJ?$ywW&CQp*c-F>)-pSHoDAk zKxUU|OCTnhNe}2D@XGl>H~R-o7DAhqP7>ZH5%$h0NwhA-OcH-yO7i)-r1wb#50POn z1u&C=E&xB=>G%B)q|Yr%!@l-q$$~FS7Of|n)gRgrAVtLUV-H-h4>UO*_zD*oO<=@~ z`(%M8i)CRjo3Eyt_eV5z>$z{>A^3qdos~4{eVSPdVIcjSm>BhbUrY=HN4mD{+baR0+DBWsxnOEC#8bVc=bjV* zYcJ~1zkcVa8?$Y;U^<1r4OE|+FJ2%9sEPxRM+GSGF;q^Mf?yP;wytNzXl_u4^t@8d z<#Q}4*l%c$v%hzo%?K0WEqcW$8yYQj?Nu;6lwL&U@uc z3Y!7)m_-WR=NLFOZ_!)Ld!rBr%~}jP^U6{I+oIX_MQ0zNm9#c1Csp1*=QF`0FWp6z z@K@@N1>?ML;4uvt;3*(;h*{NTYsXrnI8nVfT3;|HnG8EEYIHDDA0d>Pq747f0s)|l6_Z`nLDP!fnytgTQesu5; zRUVw_W|Kmr5O(J;7AuoRl^-+_>kQ_I`Jc+?g&44@ShZwuxx`r z7Qw+V@Aea2qJ+bxQaB9?xV`4=;QbBznhgaR$lpd$CJ+;D5OB<$6^4-Qrk_HwzkDb7 zkAGx_E04z+--l;*>yfn1k(WxWxnBzCmi?h9==AqL25`9aJy7@!$&)vedmp11bnsqe z1!HnV09RKffQv{HIsuGXR%r0Z&eBk+@Lr0;$S^>A-XaZd%u$y5GoHN9RV|5A)8ZVx z({j2@(+!=jZU5F!Mkoj!>kYC_?GAugVOfIqhHz{en2`x(wd zJ~c0*Zh>Xvgy6A`6r^-&)_t}Vz5(Ch|E&|uOd4wYcYjv2PUN!3z6WSc@BU{$e=B6*&9S+O}AUoJ^@FD@) z@DsytEFm)!`;Y86qJI+K2K|`*4{V>NIp_wx!0LQQh~e_`q}`_{gvmHXHWvc$DN2zy zrtY_KFGXIBUcGsG{fh=4KZc9$BA@CouTnGVJV&r^1m6CPTI;{lFj|n80E200L#cXTcL^zd z2hX*tP@2@6(Og&SKUjfA`GOf=78ko{*^)Y)@AlCBixgkmL%iPS`)f4yj0J`a8wo;e zn?c|P1mdw_8(8)fyO(_1=d`TZ1>$oJ^J2br83jd{7Tw^-G>OL}eyM&?D;NsblpX)= zPb^o;Fz1s0Wphc`w@<3r=hI3U#~W4#qvnA8rRJAPcMIzdQo!)T*IN3tH+_DXy=6Hm zknA?U$*7Hsbt;YT9f?3>`r`i3u#=bHKcHUg{k3;USw z4*BSc$e^WW)iVeDuA)eNc3|JFxaZ?O0lbY}eXVR#7{|}+bAJS1HK(UUjOkcO`;gcB zJpwd0N4(~(FLF{20nK;JZ!LUrT`{SXjEb7Zcq6j1H*`_&8+L|UHcTSRXvARdhqKt> zVAG|(RoSM2Ee;(Hf!dvN5;PmiFfTez3!JTT4<6U8Z*&Qk~et$m!Qx6CIHvEEuaQR*gUlf$(h^p*pey)__F7W(rFhAS1! z*1AwX#4lQ$1xaYuFM>5g#ElPz-dc0lsuxFY7R{yI4{)%MHaJzSv^Gw&Xx`d*s-DSP zzpS9Jh^%&C8~ zAxzDvV7fL1{b(tW1Kd_eCCnCcFkP!*vNq1E74%(yw##HI;?{Nr2{Bm?RTM{2Jg;B2 zwusjzaOkdW3nATEry>6HKm6(|jS#viNP&RDL+2u+(r$qw%4(vsC6$bB8Xbh_uXZ_Q zgL$NHbBlv*NSW+gx|m@21WP6YLpHzr(P!K%BbqD69xCV#_LRJYw+mcv6MN*0iD=ha z{=LuHOOkRG7Gns&LJlwUx&+h^%rp6!4$Qil$PprHx)+!m6EG`9-+|aTG^?V3P%Aiq zqmhpiCA0cUo2d;Gq*_c(JgZN|nO}1(qoM`7cWjS4plJd57AG!yPfy}gaB@wf2rTvG z-`@O-^!^KwVIK?CS_0ZopfK&9$8VAvHa^00UT9VwfCusTdrWE9#wIh4Gn(D@z66%D zfWvM`4LUOmwkbCj#$3b)pLm#97AeGF{pgB{<_qBaL1WLAJ;3CAP?$HdYz+`^n;OFEYOfl9i!L^yG*cwrv_K3->Tw!wRmE`2Kqn=02dq&~`(-cmIVvh12IS zo_#h;Dy%X`5ZI1;W^IDR@;nETzT@lZ8e{GnpOdL-VYc{dUfi%=sAamNQ5eu#dQhgD zqZ@E2)KGflE&lSSKUVrSHm7B}Z1m8-&qnu-?THXrXJ(J%)i3yUl>SPB#a~007S`CI zQ}IIw7+p;5lEI1CF=1SgEP3&FI<}hB$JrlKsk(LA=DsrH!T2&#fWbIBTf|9x|ApQ* z6F0i=YWOvbyk1~U7%RfIk7@DI5uqp7M8NTlUB3P=RW2-x-qaqZWi#e;mc3C2W2;Pt z>|rcMI*4^vd=*;{x)%4-X365|ktYhygG zM?BU;l|ZDi{`(()_0^U=Rf_|VQgS+$tL@D`A74iLma;&zb0=?TZURaPz}|Ehr>k^r zo%}3NH4Rb>!l6=~>lXHjfyReP%XdglDZOx)JDK~KID&22)n-c1NSLaVlObFXRP`-~ zq~Z1}v_6Q~9#XpA_U5GNBk3aS3OY|ny*Z^!w%bhP%$m;>U!k zb-RU3pEQuMp5FF~1|cqDvsokrvdmP=t<;hO2bvzNGjpj%H~H!ATPH(=BP>6->MvUr zPH8h$B5mT(z_p!vTWaL0jguvhnbXuQXk8bzjV75c-N32$DP>>m>b9PzO#P|-ettyz z1N|y5F8T8+Oo`(y531*M4QvMpnghx%&$xU!96H;7G5FaUPPGftB8gwy)Sv9Z?T+6k zy-DLRj5cg(r^{p}Fs@rwG*xSNs<_}?LtGcDyaRX$)1I*>z>Psu8?%saU=AGRqvkKU zV%zJc$%RW#xFEB1a8_?fQ?6QZgSXowfz4C;8g!ZY?8WY4Q zPb#lNRo6uN_m9CktLM5p%6eW`(#Gl7AqDOk*!xfmnVS49sf*rBC3M@XM zlhNR#`Gp2`ey6tVGAe$y+os;uy8`AfjR#EX=d~_D$prQpVFNcZFdPkBRpDQ|R*-^ri;APigX5e8c;&o*$ZqYsQi!t zcv2zWk;4RU;j_9o`6po0?XU3NjigSb_4$mg0T8UrN_37xk5OsPwM{2QBfXO{DmeV^ zfG2_=eY(&1o|R6uqQk;|={Lm-K)k48)DoB}Bp*;lJYY^_PUyK-rn5cO2<6Cu`>LeB zLMEQf;*dFc7{x4feFR^PIlk@LTD*V#wbU)<`!vY;{ESj(oW-;LsZ&Im}Z0@Hit53t$n4fg6+|ZSGYqDKPoDh`9?`Kt7 t3qf3X#N(- z1=AVnndXWvCBUfNfz^3;;|%oc8zrzsIB_bvuB%2_21@s84#cTbjtktAs?O<29k7H% zV>Qzrw1ixc5SbPFPc0IazJ?nC|RW)srfC$au@0Y_a@?Oq) zqkVw^86d=UqX*pHcWc0*)8E)`IE0Z{6^^toE<1^2rhrOTmy7!g*ofY5_)uw_A~0}m zhwK`TkXiNKoM_Cc?N1>uR!f(+D~|cRdaFR4XPR1N&%QUB;_8j%%{~$tf^6|>iYIjI zzog^KKxpP@dk#_;{0<;+Fn|U~YXozZkt!H&g8qT|!SgM7Qf^6owW_;iV$XIJ%rz3Kzw*Wq9Jl>_z#z`09(=Jn9<|Hgpb#VQMOor zaRfBX`pBWdOclm$3NeLIk1%j<{S#g)?V1{ZBhdMIGG^hY2`fR}h@@#z9%#is3P>rxG) z?4OIauSo3K(UuP00H8Fp-dkG?e7G0y@S-}__NktdQnihwU@+X%p~@^{ZGq6+SyDE~ zvHV-!T9@Jg2ot*bpX&N_yej+HAMFp)9AJI7)WKXe`m*T?(8#?l4Y*6KIy%6AKG;ov zTcj2GTZG_S%pHN1&6A8;MICVKE0bM>5*qFLxA`Wp72-3#``91OxN3k7rf*u%q%zm( zZr3`3?#<|o;Mtk5zAeW0V1EJonXY4bzQb+X32{q=BS_vk5#6^)6DD;I_d%gntr((e zO#hacDfyR(qouabi_YpeKKj{KB^~B3q?XD}6>bh2##}XPSHZP@l7qQA{xz@G_Nau? zE;h2mo8gV>4C$?*S?mqQWNTa>pr~KLwuT7|)~=mm+UX`=ZMU~tP++usR@+UzY4h6; zkYx7YKWFz`wWqxb!P$n^~)G%@_ zAc>j4y=LPZ%;~h$eM*Da@CFwS?gFUrfcc{9t&z@^baY4nU;&`ueG4qeMRAfOh#d`s ze?;JBYsdjWGgI)dx5nCxA=C z=GxGHilu5-w|w$I*Oj7QL)TI55m>=Yvy5)IuY3eMr}zoMACJM+xyR@X3WfyofJIlg z!=b3ndQU>={>>h{Oj@B!6Wa>SUltUj16ly6(`>*gjU*#)G<TD*d6r(c@P?-esjx=Ope4fLLqH4bRC#0YGXL5Cq1j@ii)r&K4*0r+ z59SDTBSvR@oQ-MheA}xNVlJGc;BC;LbqLgC>I{be`P%OCPjp;_vr@i1U)CMjBL|N~ zL)(}ol>I26k{sbbY1ifLOh*pi_8>;Sg&Rl%f5ds8(#@0fyaPh#{=v`w?q~-MTE2i((DJJKQ=WrWj4ch3{h=mpkM_O#M92Llf3ZLK{^AP|o$*6I zY(`KG_?zOT-i=gdE-0YmlP zD)lpM#W(7VHSL%_? zsQbKR04GE1g=jKdt3%)}T0b%~?&=;e6Nq&idB^6p2_H1)=UAUG^L2dyWM;7V@mY-( zk1mnw1Z#ugEe9i6>7o%PUlm|m$lI~}EJg58s7Wc~8F%80d@~cD!sM;VznF&ET|M2! zNJMygk&=BYN@gUACMp<~JK9ebSSdQ7f^LQVRH%wgEg(yrr&vz^zzow8&-DM`LEz1m z?}}F4cZ?X?HPECyT;9$=Hg|}1}y7yIhgjUOJ;GZGY@M9D_#=QBN_xh(g zuiCy}0|x~c=3z>gtgs!RZp=q^&g z>&p5+|KO{y7zEjK)Zrj_$Ue?HyUY(b=J8)^Tes)B)rcUCx)eLoGfC|>Y-!eoA;W1C z57?+i5)K@-q)lzS?OSjUI@fgj+4fETSAW_S8cafe-xZD0IH|5+mV%LyPV^^bmrwns ze8SIc8v>5kUV&1h*WjdV0kh7y3!5OX4b1=5@9sn*>g`M2#>*{56atffBHr<}ty1+qldA@lfj(#WvcfBmP^kK)2U3Zsv?aq#-(5(4;Y; zRtM+PXT{%#G7}KM`uZDSH|qNAPmKNjls}uTaIO7~H0DNQgk0)F{r!J!w=dh5d|OmT z4ZLB#2&~B<6fQ6}Yo}E;6N`~n&-F0nPDOb}m?y0>!=P*FNyeDs4uJ1y=}_;0_!>Cz zqhT0fuvkU*EeFTk&;v)xk^_9MwAC|>gOtVHYUSMv*vM_>-KJT?dk;o|7Ez(Vs?@%K z;Z*vJLkO&wf;zbeG~@UGxTt>jU-jB5eNZp7zjpZrcO1tZn;CMah@TcCzkIM2?U{5v zd&*C`^Q56wzVAq^tP$yfLyePBOOsT`jorQewxQ+pEPW5(XY~SdxUprSrSLx0DQ!OY z^(J7f<7pbCmZqSwFRy>OJ=QW+eVRH2U6!d6aBOmH!`LR@!ebIbab&J(pyYy-e-6Fe z9`)Llt!C4_{zbLh+%ysnLJsvM);D&7JzWn`XLg!8%dV0#J!A2rhP{g;SE$0|8%SH|#2Y;4Z9tz2MEVHGdve{f&n{-% zuCEkuD)emSsYW~Cu7Barnez;_0EF6gt} z-Ad}5=rI7P%VTW+ipD*C^qG3eb2IBc>|g-aW?O&3ydG>cKpgieuMbC>+6;$J|9ebX zVD<J7SV>3sbCqQ?c?@jCcgnXbAauz$JN!QBC$mA1ldD3I}FoW0-b90H;peVPL|?kmaG(0m)+`8#t9& ze+E649aSbY4?01%b!Q?J7ROd8dtcY$BPZUV9FBjphKO4ZA^|#KU7y9fg{G2#Cn5$j zbYr}SraGNfN)Rwz-L@ybtMK2XN$>+p5QekVVtQmpE?V_MxF$G*=I2>~L4X32#BO^U zCp!1E5QJ?)|rx|jkruQ4l!mLFCOjf2B7T0OR3aX@0k5BvB8zO{oDg~R&8-@ z1c)(R*|RkAMyc_dRNp!FJ6twJ@YP|!QaXlFT^!fIg&cr3NAW;irpuV;f+t7IXAs^y z`2o~*n)}$iO9`~{KO-C>0tknnv=+|r#cr?=9@6dy#Nblmt^8EF`!+FvCGV0JAe2JJ}D{M5gje@NLhy z?2Ztch3{88=4v}>=#TXcR_mKNLfOf&(pS3Y^2z&I+3CY%577;A!J9S=Y&-yY&lV8% zb&oAW7LOj()Ap`}P-^c5v6qZP8mx-+SR{zzOI)3SoFZaj&!%IF7P`dUk9HQBhbcgD zCJ$+vL4#yGHH090FAPAso-m+yWcJ2vL55uC_)E5@VTv%!I8Ci+ z>hW~70pWZyhB^|K#}iKibimUZnw641fY@MM`2Kp&L}Sl*Vxe5GetSFRdPZZb3SH{b zp~je!W~Y3+m&yE@J#{p-$$1b(Su)@K;$>aqskaB&;rp_ODIL1*e6`%kPG*NeWUiOP z*vljeQ0K(KW*B*MDff_jwa|y7+T!GoQ+J$0Kl{l*rUfQ|x-nF55RnudGjq*UI**HI==8KJhcSagGmtXuxI<A;J!X!l%ti}66D-DIg6-x7i!E_=-gurjb4Iv-w$k}49qlJWo0C~)-)M8d z1y8bu%t0LLS8Sg9MrNal0%|?=z>qmb)b*4(nKFm-CWri5i_p_CZ{m#wXY;(-yw?8U z#xgZHhy#70kgWf7ja6=TQ`M-<9Chu-gQ4aO*Vpz~fI~+|u(3z$Cm30d3Up)YtgWtU zzx`I5i0R`XD*0ieQtpd&QRxq_RdO$CqRmU4syG*$z8e({*rJ3)jz=^_mMNS61=*N9 zdY&y9vK@P6Gvt`&CR{Ic%KbkNyO-hbGk}lF2$HlzQHg^QLdtG~$LojoLA+iClHO)! z#S>6Jg}o3?IQh}=9OW$mYnvWXPaFybgPHCZ z+Hs`H2G*nN0v&(o69K1eU?Aⅅ;VZIpC7dcX_+up@c$YR&uB*gGic{?6+`S%)6IU zZV5KE$h{oYUB@OQF&#lB`BTUslgT7;iv!8VnRck*yO3MiFlvdjt6{qP#%^w;caDt@ zXjZsG6&a%lD?Q%|!O=&{}& zVHVQ^m+FC=&?|v)WzI8^94)&8SPJ&OuTEAnR5E*~8+@Y&hTcUtjMEliZ{T;{ch-OQ zcJuTm~;HlED#YdE)`wg;IZ3r2%;6joz^}mJP-PhzzZ5ej1cdZpD)J(h;qft z3r&jFqI+h)yTR~1gtdB)bSodDnIdO*dZt4KZ?1i3#q6P5gO+fUzmSUHJ*Gx#7vW7? z^+cQ0>vtt-idN!0^c1wbP}#rOI@ z-~c<5#?`$3C0gX0Ey`wH@NfQ2=qWYBV&XeY#MZ)HO1uC@fW`Zl1C2xF%&eRhWnY>F7{RhzQ2$p268!y{WM8w6-@xic z_Ffz%zKiuRVg9|*>7~u|>!cdTkp~Vi6IMNMHk;OOrnjyRUw1 z-5!A~>X4oeK(lkvV5>ee+l<}xa0eq5A#?tS=9q;T6S_2Bm1g8n3^w!us@sqb&%c2a zl1km?C3|IGs9w*MXw#RRi1q~%=F#MiK^gFg{Sn~OU%%wfAnTpVrAs6w1?MXDu*UU% zF7PyHCJHD~;L!w59QFxliW{9HXVQXp^nuH!Elbj(Y{1>q{6N`xVZ%F|)8y@i(?nco zYypa0$}IC!4Hvn-k_3Qa&m5m_Hf>v!Hyf{G+hdO&>rc&)24m$q8C^e~;cyIxdHCxg z$c>W(B*OYXW@7atl57XoreDBj(a2-%u4T0e!G(_-3*~Eyk1kINQS{rcY!1uS#O}N_Q@a zueMqgdm{2j5jB@EX+RuR1XGH%Qkj8b5wsmJTI-OBS0l%{IO@d{d0+eRqk& z3~#f6F%#aamX1E1SIg4^bk~Pp*j+jz^64K`VX<6@+c)iBus?_?@qxBpcyh}tJIEKxtD~cCP6fC{ zadD-+oB0Ai*!7X_>=sOLr0&x-AC890Xn(p3sH?(_=a-a)ay+mKjd-L=yn(hu5yD_v zOQ;lXWFPG7_DK6QZMi#U(mM6DDK%rAKpex+%LaAf2fNxTR7<=aZTPXYQyChp1BY(e z+WV64IZ~~dcE1TLY5Zg_QIp0``WH<*zisO4&Ka3atubcLOCND_^8E0@h_Le9$B3>! zbTt`0LWDOZM0oZd7$mS?8Gvx0gG+^L(>kgv2jV%|Bdz!kN$>!r>Qt1}M324;P#)c) zu8R5v@nXX50>*3**Yu6}zq~2m2zq;@?eaqeSw<9@`{>c-E%6>0uM{0R*nTrNF#ufs zXi-4&k=8T{D7u%XzR^+2^3z26q1_@b(u?^^&-0coV58~?+B*XRHLH)wPDd1jPk7-Y zZt@xRKCsM@*`W~$sq_824hj(Pe$98JdvpIsZxo<|AAR>RMNg*>cX53_H4MK+95VqU z!PrBgYakhqFp5kFIMiQu3K;m`Vte|O9~yw$wF z7es|45)sts9A^C4|GHG#qw5ZTTg-U!dt~;0pUm#>kr}b`ePaWtU#K5wN7@$Ho3_Uq z+V;hMK|HC1(%8?SG^E2q97*{JC3d`zVepu^5;Gw2tIiyU7aUw?fb+JwHh!H*=|@B) zb^ZY!n>JJC=Iugm^cb6RfxJw!1JP%sio-<vj3Qxl1Wc4Dh|G*`tDJ^ zP5wkXR8=!?uyk#ErUu!+u<3?DeKlbG+hw_32oLAg4yluGAh~W^X7s{A1}uk3GD10S z+PUuijt!g*c2qEGbEpK(2f8U-7}1fP8fiZ{*yrtqtq2HRI@(Nx(%g0JtOGy=-oP3E zU4ft#hq`gf?^^7d(mV%T*618eFNaZ0by)Eb0DZN0eMhGso?j7;Txx{scjY3^pT?lF zpD82VlqwosHYK+Xlgfdh7XHOx<$(QMfx^4r-8J1Gg|cOk6qy|@0mj@zqd~mY)-)KZ z|D^ein2(dWDhjG9EeafU@5@aGexj#Zucd)bUdOU4`$^a$9H4;Zb^$-s)16S)6q-2Q zwYFPW{AWY8Y(8E2*m4VKS#5%I_7veHvY|pZ97vUy#p*uAi!_QNX*&X( zU>37EnCi3DJOX3Ie#S`$Btsy&-VGPT$EfXJ{Y0Xzgr^R0M6?yN=Q#k1F5Avh95Sm6 zGZ}0iuH!z&abhj)M?mkOU+GkEtqpL4&H&0}hc+NfI2q@RGS8aZXCk0xAfFdn!+SW` zR0N|j&?P33Yt4b|XTKB`{SWsIAQK$8s-7+p_1Ts*1IrOQ1+42-F8`W=Np5Cj@^poQ zAh0AB7`dt~Fe#jXfAXo!T~3=$(G3LXx;815w!&ATMS|8)$GUPbIclOa;-{hlJ1oM0 zV4SSWZZ20dy$B+}lY(uzb=YkkDZ((cP9za6!A*pEE8nAgrOL4%S?7Yb4V!V7G3I8^ z-y3|*I8M0v z5-lapF3djL57NlEbmB%1p)P|C2zQrUJA>%1dc*D2578tq3d{>;DtFgQgD~+{U%T%s zBv_|Lt3tU>yZ-%E+l%;0?71|9z`v(k>EBgsw3<-IC1N!(j1C^(weh%*&{2eu6&?+QP;!WBJmXr9`lod}}84Gx^qc zj4u<(@6St$9UtEYW=g@%ii3H|aQN207aFc)4`vgFKu#l zRRa23RiEe%kY5aO2GoQ%Nk}s*NFCs>UV74GX+xyj>>kkU(wJRdnHUvD(XJI_hybAb z=DyfEt5x-*DFYp!A@CA6d3S}TqHM;mV#Gb0IkyEHPjI8!V=sP0+oL@?Dy5G>WC3Q8 zy9`IT+OZEoBWOkp3w0FCE?`)JQ1`;%W!iq@4w90`Ahkl!@*X*S;Y3PYKG54Q6K8bV zSz+L$hQ1wE`^a(+q2nQuSs?fVS?U!P4mcjt8$`Ij#L586oBk(p8Co@^p{S}dsVJrx+pOu z4FZ52j7J4PZY}G?CMEVl?rv{&p~mx4pY%7*?uMJ+xo>bh%&S+zEvZI$c&TUr=@xt@ zMNiS4l99upJSs8DNj|!g*3d``?XIJ5rRs=mV5r$6=!QN6P2{ClvkHsJkWprIWhN|m z(lk2We2cwJeVbE5=uX;b$!bFy`jM)2o{JX?rlMg|bcT)@r6rV%zM%0tQ>$4|r@OLh zNh#gkfZ%Xd+`(r5iaAx?dYGtk410@0WiFnnE_F|RKpO;zr*&12QlwE)Bro%m^`HCz zW);$u3%qaH#ZI%Vh#!}Iwm;bW&VIOKU3uw_AQXX_P+Z4BPDuA077a*}gVu9o%S9ZRuetFBkKOSp@fPVlX zvG9oSi0~U8;Zgo^?~5y>>7vn03#r76X2BpKHK_uIRI8=#uIlQZs_sI}%bdlmvV>T` zu6hG21Y*I41@<#L$Njj6-;d0ymQcRD5#fH0o$qtZj+y9via{@ zTZCfR;YSe%RvFW$8SOQm8{H-Vt|880fZH33i2}B0pXAHj)tU3b&YE%v^r?|6^0FYE zWct>3KKh85%5|*)+a}hH8ir^v)M6gqGSF$E!q%~lV5*BVchBB}Z|%O#arZ-fKDb6Y z%7F%)?@qOttWyg9oRS-2CBbI4E$Y4+g2NuDY(|{JUGD*FFWS*i5e=^@DY1_)VtPw0=77r5-d%%rrMAUA3FUz0G-?;9&jhY5^l@V; z?U3(FR4d#9uGx^Yg*32h72!3`CN|S-h@*fI?&#LCb;Z23;=~VXbh5#UXwMPA`h%+C zokTy_GSG{v5gVT0ERRcU40C)9Kgqo(F?%5+6lEiT9%Bcpb{Y}KaM^1_03Kui$`G@` ztWy1R6ID~aX~n{cGBO#gI>-5EzbS79tqe=Q!-SEl{oCLEI*Y(Ag|*v)f0q?8d8AwF zWl8FcSA3|CwCtYaADqgrJzN$iM=+gjpaT^LLrzFcH(^?NPS63!H`u2-->ZRq%QhwP zoJ!{8G`m%0j1WUotBy`44n@%_uOV|mnYCnZ0&_^2H1RW!dJs#a-w{BX_BuM^%oc)X zvRub1-_;zT3XzrcWEiQ;`|G+U2nU3jS?n(7PWnih-5yHXtuGBj*F<`n53_2Zf%qu1 zN-&j&qM}K*CFbLCG9iOu4gSxXc|TSwHY8DwSq@D9TZAz^ zCIOoyN|iSmV-nubwouW;TJLetykS2e-@B2JuwqHZzUFkKah%j4tpsJ26p^?wM^`Cm z$Hrw)1urzuzBKKP69r=43P8`UCT^wfhSc75YFFSJmQwpysoB+(L|Oo_&Qk~1so4xE zT1*{YrxxTu#$BDKj;>R)uVk`V@Ax`3TT=y#w3F*T@xea_j=yO2j_YmCIG`eiO_OsBB-N1%$%9#PwoMB&p6?6E z!#Q>KPYWlNUllM<5;19-nr-_?XpiYo=hRJcL3D^i0ccy1i)QqVNwZL$WL^MU)@7KH z3)M;I#Ao9)rp#Wb_&RT?=7;)RvI7mvCCfRmr0;4HLBMjfB5}-8#^&OOLPIo>VkxrR zzHpv)hp>47(JI%SieyHN>4mnps@y@%xrH{lv5WU-+Gg_w*ULQIX@AB0G2Nb){e z1M(;drgiQVCny|0$$R=A*1JH7-jcjSTi|_O>~P|d+_ou>^%};|YX>^ksx11hfJ{pg z<9*Q(7tUc+r=)rR^Rh6obj{h{ihVShf;-6q_V**@?C5bCNH?-$0~;&kPiLwON9grmTTNS)pmm z&0<2ll!$I%o%^DJ0}8?#R!}8vQI8Kl`e%PqGxvRNYGMLKDFL`YaWDY46`H=mhdOA{{I`?XcD1l9?8g8fsU?27s+ECuZY7K8F7vl z0u;FlOVuB+6+`QGJXc*l>~d z;q&O|0eji`Brjb^u+8TYzr>*~=Cma8+Y!=olswkQ%u;;voYw57$xh#39t3rsV^q{^VEyB=Hrr*FB>3Kqm(lW}d?vt1mhJuW!Es zXZ{&5d2e*V3Y>|0-KlI(%;`e_zE>R${Np1FG{E}S`u|VaTf5i*Jri(sI9kfK=#L8G zJc_+c!A$z27nY!#^9>@G!?yK|YceUvzj3rmUx7pq)Wa|d6w2r5v<5(cfiBRh+11KZ zAn{Y;PnK;3y{A<72I`3HhHGb9t?e0v>jdF{LmRJa?lry z!Hvnjs#kW?6B*W556+EmZA!SK!SsL~FF>z`OI$KV39l49zenudND%1gjJ9${fDF_u zhy;Z+GJWMz1B-#0$|xBgu04)N;>#L_@$hb(10vhx{RR*naEOn5FID)N=|C*-CNSdC zc~=uFe7f@j4?90o{WodSpNst9919NDvMq|v!A*JBZ>V*r8xA?BeicwC!z`8KA-_4^ zSi8L47tIRoE}hg(UB05tARulE*awBdU;pl(`pIAa?vI@$*3Ue87N&USdr@SqSPRd! zNZl|Y5&%pZNl?l^4WbE&Af#t*jAsZ)KB)&P5&-=?h)pWdbwz@Vo_S0ecpg(KrITbd zl70+Or70PdZj#{&dUzI4b4)7tL z@zAkx6i#TAw529M(oBg_7>W3(hOH?6X((Iu{GQkGd6m*I>4J`k_6YTTKSwl5*-d_w( zPSOLG ztFiULK}0OLvpXCe>`+Wk zd2?GF=e%k62>wfIHQ0QKE2c$HbZP8KW>pbrSx5a`hp_KeI`5A-<6Y$^G--;n;2tYe zg#ocuL7c0PQj3;=_HI|DAOIN(v2(b zHN3V+M8sWN-ju5q31>$BOy>`rC}FoyDxd8Y0e{;<;YK}xn7=KIdTAQx8>m}L4v=oT z3o{kOz;75@JqO(Fg+rYg8Tp~j zH@XAjjyA}k^C-VxmZ3_9OUZ2mS7MZ?}`TD>^3F*88*xjK(;Jk40cT~Lo9B# zP^U`52(w`9*$Jt-rLna0EuCg^T_73`O~P}XICP4xg!LgzeQmzGDrWORY{^$J5fi0` zwi&VhLrdYzC}W#-*{u7r6LskKgmu*3Hyk9}gRa2IyY<>;_cWWiCN|b6apn%PFs!-( z;We03QIXohOQAN?PI%fBJl!`OxsH7$xR`WajPJA;=tx_b7|@&?=vR3UgD;uLUEZ=M zgK*C6AxCJb1@bX3WlH3VLT9s#YwPK5$ zP5a~fp#x_rzRrvkwW`@95=juZV$vY--&1Q?bfd(j62-9v3yle&xHQ`mVa;JmA8V@K zI3kGK%Q~!~-r|2iECua4>)`-BK*GPaaplw?(6Elh7UnI zDjtDaIBQD`g-Jz%o@xwBOJbjCs4k_iMg`{UrWpfIO-f^Z|0+kOdgwRG#ZJ;XF6LOw zi^HBk4QzHGZMOp7-vVT?m19x6P`WxG_h|O-n@Y1Hk5mhu30CS>mzz|GFUpaiKv43hVgunoE^5fZF z?0${%YerxV>xUZ8~zXG z_XVS$Avp(MV~!T#KVeO6aa($*cpL?=B6_|Wp_n!kwU3uUYi=FuA$`n(BkR|d6f#M! zur#yOqMARzlvrnsSj2@{{BlNtcJ|<+b6lt$dg)lahbn235881{1#a#)G@_1|ifEeB zka($zCP4c?{SlB*A4oi>Q+uiInTIu`%uh}2lb5i1oHC>qt*gGO*v~YJc=`ciO)mMS z6_Q)CEQO_qgo#<%{gHYDQQtDbhslCWIYA8gwI+=;lfH^VYt2Z^txd(laGFDEQ)kH_ z1OPxYB}%jMX)M(YW2@NUG-xLzJR#vl1Nhan3TmAF%wo>x`)1~phsDcW?}^N8vOw<> z3s;A9#+sQ~4eudJ#*q18U+$>8rP*m5OPLS$UNVYTOBzW=nnAmwZg%CY)8rmJO;ZaH zujjqpOmYhhSQ-Y-5C~WoE2Esm))BkX&dio6gx4T;Sa6*VlT7x+w?uq2i&JgMV*E*T zU(@lq%8#>($G+}rWluAqlu3VO)L%ozr?rsIj%dQ=&8e7HLslJi-I!VHp6RVCxYpEw zyP9^%g0i+XAjP4yl!Y9bp)@BG9al({Pl0#QLOg(n% zWem`5vW&CLDeH%PN+gg~M%zULn0C7WmGZzq#F6SwM|p!zbBanJi-KWoJy6exQnWu~ zd#CP_lA~z0zGT9ruCySDES`u3R=CRP%3N{-WnOwbOT6f9u>ty43G9_5mTnJerUE5$ z%q-^`aX-^yrR|Ner9ZvHB|?qnp5CoCL=7h}_6V5+ezLsa;#hjp zA9|8<*1Yvd|HT>GGBV)!bP7l>rI95%`1-tu7GcOg%mPOOMo)_M)#l?5Ro;&UOU5Kv zns-0TWeeU-GpfB1%K~-|lbng{Vo_wh|ISArLC?4@E2r!4&Dl3}YG1W- zE~wuKh`=h(c2k|5wmhBe?S~(gCk2=I=2YHbITvSkQW9vygO!NWNa ze`5IjW)^czF1&kv`Dyl7Tm=N`rvc+&hm(qRvjQA@aoG`&IOT;yL zm1=i!R6wXm)BxgqxfPzrlyoJziNw$*O)5)YJK1VdN2(g+r; zBm^hrj=2%3u0m|V2=v13<3@+dj~=vKYco>yxM)vz`=%$^gI$YU9up)=$DXGKv+e0P zFoJxba#uNfjB;lLnke_91;n%ad~+GbDli*^5V^E&rKS<*j>hU@CQwgpi>l*{+(CkW zAlZ-g1uz@jgRc4;O1ZSxHe$MT6n|Dd7c%zH#K_zIp**7;N{jx^SE~YDM^h`}zVUUp zMmj*7^dApuqGoL%32HTMWyAvMcCN5zeZ`UNprwY@mx7T~j?7SsK`gLnb+z_y+aWOr z@Go}8g92WM>;(x+;3NCDwR+bXv-y&(1-vz#P$~wVt#H)3yg$jVnngNKKpY|GL14Oz zlqJG36tpVis(;Vy&)&hmXb$y-CgDItVmRC-aJce)*tdK z7is-R8hlvpyPO>@9pV=%sQv&l^H?aRz@yc5U(%dm9)rE|agK-RfvLe3&gTr9CqPI~ z%uIoWpbUT&W*gKp=Ocx-VyZ7kcfbWrmm|P6Z@w_^LB#8Q%`vqPh#JhtNNj<7#*ucB zqreI131zLu-w1Ja0?-rh@^m^u-`GABa9DTc%)ygOzpD|YyUfR@K2~}0*cX*N^ne|J zxlj>3mCyz9K!}KyJHQvpS;CK0bWe6F(~tirZPeOg^?(R;(}0IzxR=f$Uh53_9D5HN z0l5rxdXBh33u~H|9#0?S)v7;=z4{$ov=CzXv|}&U4*u;s`^<~hM^q#a&VLumdtq~4 zqQA!7mSo@2&_3)D(7WythPp$J1e_LZ)Sk*k6Yri_W-7RXyGaaR$pEmCPvl4$t)mwwt~D_XlemHgEqPOzJjH&Xq7SP@b{D}MT}>~XE%J=0a9HyFu9InDEo6IawYy)2!Bt8G(|~$x`$PgNyC$iPd7$BmDbhy*u(2nM}X9G8k&3ylmxQq{ zEVSU@$%SRgIEwoi+eH>H_i^A&##1%cd!n&4&fNyEtmsDE>x2$p3sTXvpp<*Ht0Op| zp}bwVPfRdCTg|%JHLGLPVPT5V;!6Tmeq^PdE`N+W!IryXPp1ZX(v|+wbb77=M`*Bs z-tzq(rct^dvLx2^h^_zh)vTpwE(Uv3+?SOOs3t$I*-I~8$f82lF=@M_<3}+36^rSm zPh|10xKdBCnZCP_C0OK4HJ|DGPqt;A#kXR~@>KKvNn6;1&PpUp{A3o@W1682te<{s zh}i%)t{OUQ#+0wyfWV1KQ4#tTwKcooj#bR_XC~8NS``D{gU({(hoihp-#Yphy2K#U`QQ-IX9^LItkJ% zkT}-~LY+RIrB8JdmV@L6vDLm#pUl#`I*D3`DnIe+LxWT5PR31;&V$FVKnleAx0hKz zdA%qCQx;o`0SU_z9(*k(B8tcNgoy8>#eslDh?J(gk_K2_AekaEg#mR5M$?u3LJDE| z=|SR{uJih7DnRh2P~vh3l5@@J1~I}NWFNU;@)6PIO2~0VzL*PD!;3(_z;xZz$B9TX ziYZDaiL?{Y@Fa#S5meUWqfvfR53qIMLRdWg^kZct%zxqR!2jq3_|bQ9N46&hlJOMf zVhq^C>@~LS_t?T%xnz{GjrH>Z4~RnUo9Al(Oyzi%&akl zFXw^DMwi1lpvg%T4FIz0Ww$=y^q@j;4!GoQs8fh5f*-7=*GT!#6AZA(vs@LH|p(zaujdt=9 zNuw@L_gzHXcAOD09~%RAU$)eH0^3vNr#(OBMb^ZS7;mLr0>EA-|r9V#(&%a{= zIh3b$Pu$z7Q^stMU3YglU{4k;yV=*w}s`I^lgo{xM~)K{lzJmEljzFcL};F&e@)1u!FRSW-n1!K5AV zIWCEZERW}_W`wgMjD%8zcblprh*6`hjOnMh{>Rp4S=Lq4hQ#Rg!9JW|aM|j+E1jsF zIAH_GTcOq??C=HJ82bNnW^+}E zRfsrdIt18;#P3Z3D3J}xEeQPLD7()GTe+yua_`IgynP~%Tp0M0XA8WS4G9kGqJq&1 z4geN;9`xnKB-N;gwMB$+6oS7~nKc=yK35T=2+yc|U0sgnGCv?<@Se}|vTfq50UnrEaPxb6zDv}00zp~6XrYQZZGH*C7{lbSr#O$A+qieNUHOB(2|=tb~6bOo_McoH=do)d$^R*dl`}3s%4#t!{iHr8Rr;T%ARE=~*kP2qk zJ{p`UP2c+82L&6Qx(aWcq|`IE4HCggcFym2HoxR=3Xn}jrEkaRfD-wyy%993V6b_* zg+&XoKOVfhBPRwZ*||8ih$$~t^{nO=SgIh_Hvr(c{g{sAz|Vp(B8o=FPwl(BJ+lNX zE*nr-1lpo0fIvq~9G&TDoVd6Fq7B9%=J`n3e0{{zz9gK|LY*1YVXT#NKd2pUjGA zkYhV>Ee6&yc5#zM9T08VGJK5zOZ<@c2rfpYVuELh6lxL#j0eL}?}+6D zN07}cmEExK3kyg}I}yZbC}m(w=UFj`o6??n~S$+;E{-sGsWmP#zi6ll#+n|JI&XAztY1 z$aBP?l`3JzqK+N5(q$L|Xh%GAkSBGBX49EUeRirrH&h-OMgi9HYsAmeN-EC>7$TQN zM^I$O#&#-5FeQ*CI7YfaHn@gL@Wbc8W?RFel`8S<{KsItFek8S!S+)Y?T9j9cCaCZJCrCTEvr%yNv7fUA`Yxb?Nd%oXm*q zxf$`+p7-0E;Hn>J^NCfMW~z_5>kZ5})<$YhQt@k3cVXNWvmMW$Ryz@>opWAE;2t~g zVJymKSuLuN=qeB+X6%17EF2PwDv+>-dSQY>BWn)C_1HtbrvU-;vVokZQI3FX=c=M( zD=@Y}8ktdjsWw4ByDmNm=8a!k5rWk_l$yG9wo9pr6&Tx~pUoBH9LsxY&kwIx#q}h_ zK2<)}<4%|+xWtxt^VXk2!%{G6Bdk8pcCJ2G>T|6=H|n!cpIcU40?csY2w~p?bDt!? zsei?~KAj-?uX{SdO`Cf7wLUQ+S*?^!v`17e3r-Dw{_K<7;J9~7g zBXM%5@XRkwEFy=WTcSxK+Takv0EzSute$diVtdt>LG3zE$46z6V?~Vk;58g8q%{v1 ze#H@5_f7o(_>RG$nMRX)draEY>vc^HqHbP5eUnrnqtx3g#A4{K5bvA9+t}xB2Gq>Se-i``f;`9IhbYoZk`TI9Tu$Tbu(xomAe^TNY!+M0~Al14tTy7)0|o zzTMH1qD2Obzk4F5m40IaTq8B*fjIVcy;>yEmWYDzkROU|33o3oqKqkq(4e`(OqsrB z^Mr?@95MUk)!+TLf;k!QSfC(nfy1Y6TSiXS8g;U?vGIf+@i`q?6gud#0z;L^3VWx+ zc9%G*Puqp170rp$uSteWpUe2*NwoRY&obW{Rn+6+OPS;t%Zp>!U^_{(#m zG=wvlh7Jmed*$6CdbT0rMMWJEBv~}(CTT}+Q~@|oIE{}LSXDL04pwcU4T_yENgPUu z5izKw+BG(Kz7ou3_|%c@Bzy5mThM9GvZgA z)?B4zs8X?kl`Vp=)j*wMbrKGoH~D&9LW2$L-wUxa^`RhEs$AR0V@?G>fHD=Tat2f+ zF&1>{0}yLZr(6l9b+T<)n_TO62F9)IbQfqIcM09MN`AU z24x)cb>0IfiDb4M(5OO^*u-{^;F3U0<8B=~kainv;8dFxR;DU^8xhwEY)JL0f@#LoM=sJ$zebTfpEz;`j$&=iB_-}*WOOK% zDezD}=2H)tNg^Oqh*m=+u^I|#Gywlws?shOFsyspeHUAcl4BrJP7-@jN-5lKDfWM^QtGzSzs5lv@IRvOSg@EI^mqo~x3v z$UBDiS4%|u{@K0*!{l831?U6sGcWZq$3}3v{E%<^V`(Ei@>P*%DuB2j3}<^T5wiqW zLejLZK3uR0?sA|b3?w55EIEfcdb}q1uw4@^Zi9qR2%G@KU~R2CN-i0F z0qNpl$9bf>hxh>6wX6Q=ePSpjaIinnR);O3=`Z>6j5CV~USACBNZ5!D2*-^MaYvhx zg6X#3(6mK>juUkb!sqcG2)M)&G2*}9v$w)KTSwemk!Zn}s_?pa=S8n=s#x-okjuLv z9dq>)?cCQjof7Zt2FpEqX1?)_12=1k2X{5&j9!DG%Gc>NzNBVoS=<}k(}DUMBmc2B zf`cAi@b)zl4a}-=#9Hua(Lrqvh-Ef%&S83+LTwf?Qew`*0nhchzGtKwl_0b*O9WB+ zOq=8BV7%wZk)gxq$%oI0|A!S@>mV>O3@tcC42wCR)+R}}k2T_ZAEBBND>A%?TTkk2 z`nv*Qe2Ce&1L{*v4awE}#EDf*w34srD~Yy3FB8{F9nTq&<-6v?PwDNTcAzxW#((@B z#TpxE=}Yl?X0duCPLG!t`|%rlXn))BreoA)N?{rd2_R`4ND{`N z!e-i#>RKb>5V3VM%BuolzlYZ7I6S@?>j%(Cx-#i0ju>X=FRu%&oPfz^Eb)t0>4G&dHPcAxexz0L)FzysDfi3~YyP|8Og zD6UFQ4%l%I+mW`d6^DHI52_sv#=)`UxmKb@do~w#BHCs|6DywJp_R>C5yd+_hUIR5 z5VwE99SC8$tLL+}117mkT?`CQ0;hjm6^9b0Amh`}*slk(-pHZ-ecy8vhKJz7_GMR& zPexN+<=B{-X2$#^gXZUvcyU2Ufa=#7?2EOdqtD3Xr+hG1_UQnA1TsZ=m!AfkVn1LE z_I^iO=s+Ux$T-tbqMfGSu5<~$59U>;7L7+55huxI=| zoNbNg65g-ifFz;J#t`Td*m`%kjWZv1xbbP~4d1kdzNX??I^IxO?QyPNpb?dqL2B_` z5Xzw<0#{L^=NwvM$4VAxip6w2NGx161GJb!31(_V1d&Bj$UPhmNkFaglHd8_bqmn) z=E9I@yB3x-GAsN{l~MQW1HxDe7KEQlZ!lDv1c*_H4SuBhuctq;~nhG$_E?FR;3 zgZHT`N@@VNKnOV$Y_bFsQl(`lQXE~Dj;Y4+2IYG|-OE6gX36;czaaibu2s%}DF>uG?hYja zlQvmUc0(3STk#JjfeiUyz&e{Y@NGd%<7gK}yQ>GEZ8{t}yM+liopKJmnlvhnC~A-{ zazal<#;OnXsVp84d6HIBapDL=9VMqTfz5kQxUr}03N~fh2^3tyNzmG7S>)1Lp^@?? zBKO0UvTwBC)Q20|^{EOmT#Q@R^I_^CWFSObuIhzO7@9;D=9R-?;aDfAM&qhfnj6Pe z#UQ^pYh2nVO9W2=YqbMxU@3hpmWsqkLI(uk&!$)xFyC^@O}?+Kglmxi{2PONtm|1< z3|E~N1K%J5FEJ)O+j2%sn55=wa_W0J@L-Y0G9c(6J#RFWg~g`Rj-N!dXRi;o z!r5(Sbsam{OFHZhB)mYnFQC&I>g(|^2Xq`rh2gyTEUQCnvO712uOa$rEKGD>dlUEyh$o3H+&3B5X&bj zKJl$3NskVG+&40MEbWi=3O6vg2~E~D>q!}Nvjcyb4e zQeW3Pm~9BZnIhs_KXi2wYFj5({m?@V-xL4j&`wk`TsiS7BBEAyM_kpj(~bJuO-8bl z)%NSs_HV;}xF@RH{i-g1vDtUdQOjl7YxQSJ1_X(F?5%@SC1HBo5u&4!`Wr%~)2 zE>)rWf;yeHoqD(X+GFV65}Ps7p6nQh;-0k=0FXIAW^0O~{bmc(y-ku~O!c9MYu^)W z9gY=lI6Sdo)F5zU8Bh#Xxs7n~OWp3q=}6gV0LlAAw?kwHSgIt#Fe*IhNh8Jro@qjS z8!BFdZJqgg(x1%8fj_EX6Y>0*^5SRT(2c$63uv76R*+5?E8DEB%Iy|v!r0lAG@nle zP;E)-?3)!aARC$T+n&`+GUbWC1VV?=Pmvqx>SwC@DSGr`)6B_F^=#sI^`(YqSAJ|R zPo6c)EyyM=`2w&m$`1!l;EiZ&zGp8^+Ho+Rn6i8vd9G?g@~YiTh(5gtk|t-mnvyJ4KKoB3j-YFV~bc1pB8P z4s^QEf|0B-4$*X%qnR~sLlPbNYR7w_tmM}B^_23|X-j9~LBdAodw>Qy+Z-X8TiT`D zUR`Owa#Z}=BuGc{CPu{*I|qrbe980D)b(%UWT<#Bu=gwWa>Ql_JK!i%rk$U(Q-b;) z9r))>c{X@(b>QaT{^+AFZx1${l?LK&yQewI@}; znZpQLT!G@i<^a_rNwMITS;j-?we=ox?+OWs#|8$+eB%_*Ili@_e1l>Fk<29W@tOL* z*jS;^kA;46O@9v#QOJ*!KY<%v+ZL>qrP||Wzl5&oRI(|A6zIq=qqIm$OQf`PC~Z!k zOGXtsXu)$_iZ%8M`-S-65QClf9U5k|Pdzk>OSm{XkhwS=`E8-Rmc9a^bFaG37Q;qb zcSl6CBTlo_?BYZA;2ah!P;-A&u$n1!=jV6U*)B^Ep?1iMvK6O5j>v5weeI) zM3Y>QMS+PX?*KU1+}SYdAX$MX(D;fbP`O&x4k42_zM}tTkmHC(s9O{9?9`O$M9E(iK)bFvW&uQ=BV`rxE zoE_E5sIITyzyf%ae*$J`o+-E{+;D6lh-;ISp;H{sFjQ6{p`;)`KxFWQHXE}*VjuHW zu6i~!sl-mc>g~-wU(s+@h|#C$xS$gQr~&7%r2c>Z*014a&BlGvaD*LU7CQqXSD6`DM;oC5wYxJ3(I49y*8SL@5X+q1ozvUoV<|0BJ1)FK=D6~auid#%wT30U zDp#4ouWJ?zl>c-3u|0$X0LWI^Xb)&#m76(L{vemtuqdypDg1d9FL{z1WwR$adnXff zqucAEy)(MvMxG4~1{Wg%EtCb>Hz-$%q{-577;`B+x^>|%ZIITk<*qK8PE^|Bpbw`0 zdVf{&)F0bOsYjE#wd&U;JceO>rG`>>DUMZi2$tjVYAnMkc{8PuPj0=Bskl2G8db>q zx0xm{k?IQAIuqHpef88_v%f@pE>8z3D#kcbK{hT(81swE3dTW-^dLbU(SDOL8lo8# z)sb5x6C@eNh$&0K8P!J>oWkn@3Y?R@Wla*zkk_`8_8^3$Do6+sk9-svNLvv|>V&sk zU_7=obBYaLmOKEkVZQz*V`e0jg%)AR?(7HU3WF6E4&&wXMBn#02aF|tY_nm9*GUoK zYnC|Am3`kqW!y^1Av#jDp=J;M_&=0$6SmRK*38=QZnYI7ZcmSR1RM zbDeg&f>n`zsG|+2cpMzAu7Nu(U2jycbIPwhRLOeHc7X*{XOBJ}g zYYmKK*>we?FvP486TomjYO2Hot!GTwXu#rkMW0MEBe6aw)-vnb9SSjrhpM4=7Z}7$g>H3`p1^t@9gz@ZNL4G=}BwNa;Qw^KQyf-E_7S5 z(8WPy_coXZpsK+Q^9?Q28xj#9R}BfyB$}L|=Nvydc(S#j!A+GB8-vq&?mL>^$Aewk zZ}J;qSe#v(cWhDVMWJgScGkvsQd=M+-N5#|cYgXr9v_inBIMaJ{;h4^Qn(??3p|x~ zrSle>o^ngHG|tJMwd%6gjp-bP>G+UIaHNUZk|M)3?FVrxIca52i%gI^@}9}vAiFdZ z%E_U3s0viuDB-N7&ZpW5h(=#BF*d5<*M9v7L2~$m(LyO_EE0 z&-NDBvC9^E1KPtrp@G~I>&ONaKzN1>-+b|hyPU)sgiC1v2j1a|*}Kg+L+I>!l{_|* z(|7PPo7VpFvoHSqi+_ZxyQ>^&0FO09=B-E*qgt7BfFWysZXs0yUyO=LQ{?f-Vn`l4+!JF0 zZ<@Y??6jk!n3%DAU*DHs{E)lLMW)0oD0Ef_`@Yz!vgp7%0#U%4okae@aF?%s*{rc^SOZ158%SMuJx=uxKR!X*eEjg)`|`-9 z>5m^itBObQL!rgPpOy+V?uEl1m1deNMYHaaUz?x|9Q5ZHJ6) z>xSr0dd5ct^F~6xL#lnMlp{UA*jwC;^Ih}dR6kTIG{s=MJ0$9QjvnRV=v13(9lbkqFz>BO9$nnEZH_Gs3 zW>`C|zBX-swhUCa#@%yI%r>mBY|U|2`4R3FPxp^E^beLl_m5oQ!*uH?rn|UH&JVOF zv^N4jQIEaBanO`HHerS1^*nu;#>=7+wm+B_BG+n~bgE zG`=xa)9l^XRJAqv^K{L4dbG99DbG5EkuI`XuNaG#N*b2aQfcfUwd%W?T0x>Qt>RBn z$rAX~^&NMG^iOa#d9v$b7K>mDPqAUN2Qx(uLbSB3{NQWUo)wbtHK336_myyXgvmlv zJEp0+r^(0I_SIHH=MPu9>JJ}2qsd7ttFEs4UvL%9_JQ`!mR=U+is_8R!|9p|7mE1W z6G(5IzS%dio|gX8)91a|${!JIvW57#K4@2Xy;ym2PG`)V@}zF;cEk?%HcNK=ReUk+ zH@xz17AFYpzQ$1c<4|IP!SI&%Z!w~TCl^e8PfCMm7sn%;J%-QhkCUDbq^GB}UpJWg zXr1owu6Zme@(a~xuZ>N;DRFRgxL+sk>F+yJM~U&c9$5Q8ZRitXFmWgmIvPR2XO*9j z^sWExBc&ObK{OC6EGT0@C9^!XUObdncnVQWVoe5!5X)DQyE{n#vs5IO_#qp82clR< z1PNm6+pC0>&Uc*zo?OI)gOh~E0f6XcDP1p0e2#t?G2FJmS3gVB*60;&<#^H~CdG~^^%XqH;HGJ8AP@x3xoJCrhhiPDa)*wM!%M#3b@I8rzOV9PP+_ja;YVR0#MwLOK@OrFO81 z<}g{b1JoRiIZkN{K?05*qwYiwjquCi(r zCbQUtIPNiTtny~?P~+QtKA~T(GoO+w^Awg%VyV0)f2#9GlMZ)Zsz7>0AQ>TryqAj4 zu5xEaa&dkiI>X4Fgd|FjxidXkyjiz<4(%g!Xt9T$QFu(d5ATW7>}E@O5+U$1`|%Cq zo%v~|vLmOc3r+Z8(eCMuS<=yOUoVu<@Z;6}O=c^u8 zNBWzWWI=>?q0_Oq#pGq=r7p-uz*YjL*T#Gsr+x^uM|jQ9+oRp|4ScXW^_#c|KaSvY z=;{<4GX#wul0=akBZ)`zx~#xD82SAuBaTIIFWxy%eR_TvCsAyD?{9zf(L+%jmf@-u zunk~EZRTVQ7REH@%EYk5<87mEDiY6#tI8R2v=TNjmao}n?;~5W|Gny+62nB-Y!$81K)Xh(m zP*Ac3`pIl7(Aj98_x@N%ox_3=1RBPJ_L1&dojJv}=d z%vuFfvv|4bagY$xlsN|cli869_e=EawGj0LbV_)gZT)^#H}y!*^)n6}WFSEeEiP!D zB1T1#6T5!k_VP>#m{|Hm4c(MjOV4x#h%`k;UZgn&(AyK!!^RziOfP$4umd;du&JZI z!yFQJxCZZQhnb8CPr^t5I*9S10bv^`CrHVd@`*{Xi5tp|e=G zFpRI=h>34Rt+ePS7hQRFAE7BX-%HC4sB*jvmr?m`9?3j#+0b19fVS;%1! z_^t$GTF)2qblpA3){6R-8eM}PJ0n+%A z#+Nicoz3sh#XO~N70r4La`JiO@F&fn4Pw-ye*A!wf#Un~MkVr*C>YZSsese0R2uBs z8xo?2L;)uXInh=n3c0i~O~`2?PP0>KA|^DZi8xJ+9&dGFF{g>0ZVlug;#Bw{CrmkE zt`er4Fr6k$t*YE{ztV!GuNbw`Mp(%mt>n!*lfv=SI-c?lN#&E~7CxPByHef3zpdl3 z^)jU5PfCSPz|VPVE1hzsQ?BMIS5|Y*Q9u5mRP^CA z+g$ZAejw8XO|_f1U;MdC+9xZ_OOPm_c>2Q z{wv*e|bWLLXCdX>ovb#^XoNUhumEHVf_!*JZ_@?wA=p3 zk!sFOal~~dvr)x++(r{ioUmdCfgyBNQq2}jg*Nw4bna4Z&iD_o>?V4HYY&kLd0dAK07%_1cg3U`sv5wRy|X~8f1!;k*iXSD4- zf*@i-cC_C=e0`GIjBkxA8_-IfJD8AP4^2};e#tdCZ@J$XV6a}(Ac7dH@YW0CL6evX z7Ox=(g&e#qdFr^3P1faA_1OIbaYRRw=^{yLZ(HVaVapUfXOHm8G(qMq&H+6BJT>u{ zIj-x?g^Br&M7Wxf0>&W>Z}XF5*!0h6wXE?4w;_0m&}uVL++?3l`TmItO1#)blIwlB z%9(~zqhGFuf+SM4+?dYtI4FDJibRK6dJXO*WmjD<2>6QdY=ZxVs-3^wc}K87)seby zowu!YVC>{aUeq(PENeC5TNFM~$5NV_I0YL8K0O8kVdXE9p)Iv4k0mZEn?~xC5}(>! zcfWFYkj_(1Pm3fm(=RZ;d?bmXW|DNo73+olk9e&Ik~tYxU=-fsH+8?$te_^Bx#37Y-Mslt(Xi4ni9hkejRgcs{UZ$%U^dyU0AVG_-zB ztiIe?3mUsCFMQULlnV^3F2C-QX;(i_vC0o6jhH~*a2*4j;s}iRx~;`sB+Jg3?RpRM z3QHos^ukAHgqLzV6^*J%4+Y-aNsuAkqIf~#rs8@kS)#e8#i2LgUoKCMQT2(Y(j(Vri zc!KdFVXhPZ?_+D5Wrrb9PbEC= z>t4MY3KIP1PvCB(aA$DK-1HDEXz86>3Cr?5TX`$cx+yoX1}7$yIL!a%KpO`*1Hp_U zF#-|z3WQ6K6UTcO`0u>%HbG?Z!DyZqU4P`r$;4zg4J{R<{T;E?pm=-Xv;&rmKV$tb<`Qb5QtUNF1CHaSA8!Jzc97~DHrCcdUh0moDF z0*d?A4-+S`c0fXgT?#DKO2*jAq315Z>`+#$g{s_+8NJ&e%AC*|EkGXn=JDAq(o3mz zm#@Jxa_BQk-rpBbRWe3K+L_NzMtydyB`^wc#Lb3nevbW)du?CSu4X3pT#Lx(nOwwz#;U?e5slwO}&gokXT>9yfj4DWR(jxc&Q&lbW_G-86Az5&w?(A28p9F7!FdsZ6^zhaX5o+<7~FA6p1Obyost7*6qUL}@nV5-s1g zp#C`3ZGQl?*CF4Ph{uBSaIx&ng5G=u9N8X*NHf||jBpH?em-?rUTw`u{=|Sp0U#C+ zn9UYkW8f8CG!SJLhJ?0cRe%@3?}G}jp`&h#ZeH(TtP3#Y8e&&zJ<|-j9twxA6BJG} ztTN8DXV>tnZnk~={v)jyr3jV3x<%yB! z%u#d;OXkG|zhb;>BeD0+^KXL`D1@`AB03LBy{=n@Kqwjfy;Zf{hnY^EX?BmYL`9{9$_uUw_)A4(pLI zs1;6%$!7D^+-I~&F+%aJAN(y`7czX9GvsRQH3#gYuV6egP5%fE>;ehvmp7 zWy%T;XM7@Byyr# z6hjNo>h^H=Gl-cMur5N)n8x>vd5GZ01po<2&;S|%?X?+k8*q{Eyj$0|wsqf_Bn=d2 zrV*RINT8YGUJM8w=e&hdv;ZMmI0+nbQh>W}>5woK3@r%mYl0{w}WB~sQ5HaF74B|L1+o2i9tG^P)cV#kg@}+&z;&LnkMQ>4M^Zm zloESLi+D0Ey=X#@7|sd3jOhgqRgJc6AV5*K5YxLPMwSs^nXChTPhJH=ORu<9vxvsmi`dg zkd{zUO{SDLnWexBosjiahcbphS*RNXkc~X_fJbCg&pHG2g~2t~YvNsYJuwEhQexoI z$NZP==Qsu2A0Yw5)}tN2Azf9ebo6CNM`t>4x~(A=odl_LG7^WCtt$TxBqT_hW|Bgl zt8k#cwINp3(SfoMBZ`wm{5$YeRuvFYvIZ(>riGYdU=C>?L?CPE^FekPC{$xXv0P+Oav8k(;gJ9ThRriF8Xu z$t>0vo~1S4bms0Ag^*a|a7Y-b&W)W=#i>nH?3<;ANMLrFCXuUii=n5Oy7*KHHds@( z3sMIaY)^H9K|yN4kr!2@PMFY!GJdf(RuCfp{7ECyXf!63FMjk&t5N~frV%kLOXV4@ z%_pr(ssAYt1n(zoOaUm4={6dgBCZFpaWjB@mw)@Ck7y5odJBG>3~<{4zOShG_Jl)h zA=-mVvnp_R2UY}bqm2qaP9McaU1CjNor?Dyfurr$Yk@8TDtLd|o%2iXobYXvKkP0g zmrkeZ8EietP+%~Olh8{d-)1aYR-M*c`%s@&$ZiAgrtL0REqwWu#I6)aQo+XAx8-Sd z=^Y$|Y6+)2p@({I1 zaGixaE3;HiGwTdp@D=H8J}aC(q@nu&@$vEbLNm0Krzkn~RmoDCyuNNQ24O<+s=U}7 zA)bgxawI>cN!=^&~UP08>D$zvDCu&DQs<$b3Dw z5@Ys(?)Zwv4e@FDDGH7Jg_cX9lJuFyH7{kM<*702(#Tw4hn!clQ~@=KDtDT#<5A_7W{qgbpjeavgoA zcn@Fru5X6GE$nz`MT7Her~~&%7O>AH>~QW$T-ukD05pLWjF1Y>s$^kNg}&kC_~ElJ z|I4cYFH)eN8e&xpgtS^Y!BOXsR9V|q|M*zW{l%2CRA6{tCr;PnvQb(H=d%({TSYbG zO-yfSE1I$ND}VyQ2R9#G!lrb31!&@X>MV&451KPvBA`Xz8Z?Vw7rul-JfaM1q+tZ6A!GzSjn?i%5{HxG;wA(0tW`1a`|F9DVW^ zkkF2sLxl8RDmYLD$3wx118_mUX4GwtRP1hvya2^p%fabDSO*p1IOYpA@vdr;&TEo+ z5M)DDlhNce1w=SP9zN*k(5aS^(c-@Dmz_q=kxpzI9-6k#8rQxVqL zOgFMZe=IlS8!~`J(I@&P;|Y>V*|RodHcS>0PloG8FD=$Yl^u*$3h=*e;6KER1lvfm zJTU|By3N@u)}|XK4*UI};BkBO{mC}L3Ec42dth zq7%yISnPr?>-kdGTSLRhSnMTzY!LMb zaoP~$CO>I49SO25Ytm7zOqbH*B+6tY5U7u=u z-RJ$j`|$a(Uel{{U#u7s{8+pvfmX$QmMeM&A>5W!_XlE1H;5-`Lz6~xQKTiyS8fB^ zYB(B7$saqC-UhnDNe-p>LZ7t?FP9QbY^KLDpkSq40r8o^B<_0peT1!@Dr|V5TIIj8 zRiU!3j&*_g!v>?+2>b%gRD>x+0V;&6#Ni&A6A5`bYxtf(ZkbVz6)DQfL_KCSodeBL zZV-;uQ{S-Izca`OqJ4R)x2$;5Kk1bVD6Yo_$I*HGUhyy&^^CyaR~PHk??CMh$4kD! zSzj9LjB6V=I=0*qomjclUCxNpc<$vc9fva*_zK)PAi%plt!fUta%Mknuzd``djb|O z&IZXuFKF?VtDY8{^VJ`J_4BX(;;TRTwe!`V5Gj!OPk#A>uYUH`U)c1A=n?f_eD$aF?e7WY$W8rc zDQ{|AJ>>BnBp?3ha5Iq2;#dX5WgE8+tLD^| z?a`|0!+qg!FZ_)9;m_6Yzcq$K2SFKBjYDYCA!Wh86 zqF(xo32_eHP@ca0kx_sbcrO=F-_x+xk9YY2MPT%JFn{sYpL3u5Y#T*1DSPFgjZDr$aDBNUQl3Ea9;k4-u`gBBn_*_0W zB|apxZ{0KUA+Tzl8n5Ph~5%6Ro<1xxDS2c`Cl`)Kgpd9xpD2%813rvc7K3V z0-ZTyfbenNy|Qut+II$*O%D+69Ky?|xgpD)U4-EIW@Bw4AIn1QXk5rPA%7C{5DuB z8#fHDJCyA!YWTgnr$qSDmJ;0&NxexyoCK5@=9*sn{MysC&fD=lS2mcGM8iI*nULc+ ze@GloULx^8jF(3AWL?-^Bp%B07W!x`i?O-J?srvLW<@!1rFvZTA%|&0`c%EUZUx(< zWRq%`lwG5<1N9q&W4=G+M-D_LCJ^Qnp<>3LCRvY(jN{N0_w4l`hA7uH<+_S#%u~bn zzx>umA2l@R`Otv|hZ!;m7bF!9jv;4+O&SoZw=l|J470OytmR8rl_xi(Y=a7|G+ca)@6Xjw%Qqen z363jB;|PRUr5BBurD zCA7jk2tW|7n1T)@{>0=QUca>mBeSb^AH?H>MBBFS>4@2X_`HJ9o&$L6RDe6Ueq^bz z$$%)|;lMpovv)a1pH&N(`ng4ObnmF&N>Y|z=ybTvt4p*e=b<@rRyG6;-IlQ5L%6SD zwVsFr5a=VeL?248;Hkp$ZdX8c)E3wMFJ9>FK5x#GsWP9fmZyRo`?Ne(Ym{`RUtqf7 z*qPti+xpVkKB5!?P)2J|@vU&!^cq){xIq~4E3d}os&?}PSNn&Kyh!5BtY<>%8I27& zn=3;Pu_cTVe0E&_9QV?3=omL&*-&_DCza_z<8dwz1u=dF$*{{yW(#~-T*kk(2UNO+ z6>+tJJ-eNtD^!ire`TAUfrojD{R2gz5vyqSy(bVhIuiY|_c#o3-PV!#6-;x&Tp)GWrtH7nS&! zZ%CMggZ$}4WykQmhn*~9{lPa3={PJxe}dYpg?)fd46E2EK_I4>a(VQH694Pp5uaj! zN;L?5cDcc|c!dSjm0bm})}rG(zd}9O(5A+EG!;{nM3=yR6UW{DhBw+4vLiU69nERz zci1BF_~D(N$gFWf#eR` zC;x$+IPPEZ1Mx!u#j8Hf=s9r2`(OS1AK_LP3{iR7vmQl7{wg*iWxYvAhD24Vddix< zbym4eHB@}csxN05S>}3^kjQxho3#!a3mX{o)J$%3e?kl4Px#*>I>N7h{)3)g{OV^v zri!4&pHu4=nma2aqB2t5kE?#W&8wQG+eK(&jS>F=&BWe5?fMIAmhS6oI*5M3okxdH z!<9VeHBE&6@~fZ!{gb_>5y<(`Y4_nLs=KJNKU!#ZV!ugUU8RRTIPADD5G!k>Yu@P<9S<@_Lp6Si;;bwq8=c{!4dr%qQqXHm7Tv=Xq@Otjx zfz;X~ktm6szRexu1Ub?QD$m3xAwg@=Y2Wr{4lj1a6W-xh^YnLl*|Ppr@-Wn(=f=>#YPLG2c9aoyi9I!3> zzA-8cSoXXJ7<)zK-rdV6=PKwgTdBTjiaRH4P;z z?MJ)iuIY+>PV&LIoR^xoFO~X#f9G$^qR|gV@GwBzp0q(@!VsdKLWzMjb=k5R6yy9d zv^3eej~^!b@mxPsW}NOqKm_>*+4E>cU65uQ)5RJ zA4vVC9Un%x1ATh2xBCoo}Hl=T7usFO1|K@Sz?r{Qgq+NgTex2AV5; Jnw_+<-OJ^p#n;g-&JPPmldE`C^ZHM-*Y0 zbs*S*=Rxdfp{l1X<&0qms>;sUJKttdC-{aro4$du1^#m4L=LG~92N2T$7civax`@=cZa-uy>U2wqsQPc1pQB*_*>BXc7RG>haa`kL3=xWnNro`OA8Nr&HS>%lOJLzR`yQZ*#Y5Q+TsKMovMM52 zU=Dd{!pQiZ3g-UAjARe6nhrj@9fIug;-dwej0gric`g_Vwz|ReIWx#!f3#P`!f&Xe z!8>Kf5*o+{9GhSy1E+AisE#!@J>1Aiyk`XE0|ANe5Dn3zc;i$*uyF$6o9aNl$ATVT z_&XeN`!3(X^(tp12w=FZ>W7jm1^51ehR1kzBv3ntx~}ZsW;(?bDdHI;+b5zOmsk&&Yush7>F|%8YmeDp zRwOXcJdpB-CB!+DO3Dw+at-_ehjIUN#BG2#7Em*c?T@<%$aA>Y6f;+*8qjcSV*{Be z0DDxs8~ZlEO9_6uoE+hq%=D|KK9C6fzyYX^4Q&zFm^rC(we}6Sdp>PPGyODn5K`pA z%L;Z<7g`+-7(n6$abr&-`JL}hj60sRy3-zPy)y20Sm{}kP9LKjhvP7owDMS7`qX_}^(^@(Z5BF(_q6es~n#hd2Cf7juL z`%uW;G6_NZe8)dF#R-u<6+zayS8k~5i*~$RwbfM*U;FmFXyIjm1Us7 zDIg^6lQxH*rklL3c0$?t837C735YHST0-A`;IO>7IvFuq|A{pxc5 z`=a4_TIA)qC>d`A(0mzup$|vE z7)yGP;UF{v@~F#HJb@LFrZG|#9E+Sdu>QS&3DM#i`a>as0BEjVJEnewSl!jdc>v5X zTsu~BCN297vw{B2%S1K$I#Hbxy`f?9aPE<*z?ALFma*-NGXi5*RsHx_5>Lwl z$r1Q!#s5d#yY$MoZ0SMgp1Q6wQ_w&HfdmpEP1QYnsm@+^z8_b(=Rd$dAac%`nRDfQ zS|LFi`s*VVMSUho0Ri3yBgSW9ZO>@r{W2 z%*?gcK98bqoxN7(iWu>Z7$ahg@6+xQ_FcI&HE8A6&)FN=JixEt5aZ*i4d&`u76+iS zeO?`*W;u6-lkRBB&1K@K<|=L)GLz1XbgU)BcO`^u*n`A|ap^w4c200tHl7<9Hiu2A zU4L0tGnFONyygfb8zF}8Hx|nhzATKdm#u2L{G?^wZ#J-x!O5CwDrQ=k?CNx@M)v&{ z0*MRW>t#kw?D@`D*JMj=#6{*ST{tw_yCAW_GtLHo_9 z&X?=;GDONNaqe6kj2&P*mUVO7*KK~aSQzRPA@F1gm3=Cy8BdHI)*(uX_TpLC_YL_W z$;TE*HO0_h)%BI>KE@H>5FMF5uIO5MVBog9b7~Y4Ukhzw&ao zMnCmevf5WJ?!l5%{6_BaD{4%AF6z3{JcKhb|Lixu_=1B(bM47q>KhC=iPE-xVW)Qe zrK6s4J1RYLc@9o@7_?h82#!2t&{=nwzi=IY86iJ51(5KI~d9aaLMcpOcq?iuWjp+d<;PRoqGxC2N3Fg zo*Y^*xg>iv3vLxfJI-SEd`@BdfT78Lsc>Uk^Yi?=n1G9MrqOv*{oW`%#0p?gI=r#G zT{_?J(%A!rJ7t%&Y%MzS%>{3*+`yH2pQS&@*Tz5k;>|{rjxjTFNZW{mhS>zSD|m5H zR_GQ$%p`@JgQ~{6I)+G$4Np0&e_pKntur&UiFEty51UiFB2THcXW}$t!2JbKqL1wQim2QKoHrXjZ(Mdon zMbaVJasc@KzbyQRuBDOk!|;jl0NUV1f161%^6=Q8Sm>&mtYQ9?NmexVQ zJ?wIZ#jd}vxL5l3MR9{?;j(>C*>(%3+kM?vGjV@Tr)rnu6_X=T#LQC$Ph{%zg6o(e zu#a#qRaZLjg%&3OM0-IH8(=lWQ&fp73w>pVz<&4`=-6q~kNEmxpSKf9_a&pnS_l=Z z><8c(ZqEuekiS!^O;vXYtApd%1&&~m(PV5FF8-iyW)|7qFvN8T6^P0=-H_DMNdaM@ zk)WI)vIeosKX4VUM1Vcp0Hq(PnHzrX1jt0wY89sFyP*PN8{p$ zuqd++th3MBLfw-v)U0Um$kkE};}BM3n^4pCWaf-xruy{UWFM$J(+4Rs>2iCh!Sch@ z3>VLI?O2TGK^_e?^$2^V&7`>+TWa{u4L~#QDa!&3$Ng@X_k zr_Ge<;T=i>i!G7mrpeP?rZTGV$ucic@PYI&GR{)CuEIAJ78sP9BE$S1XDerspigV} zb*G2Y_XAi}coxhmxW4Ne4@BH`vQM!noDgzjv+3JCFt2__>l1E`Y0Hhm@mUOAHgtp) zhA_7Fd6gWXqw4R~T-^YKl23Uj2<%~^&c5a9uJd|i85{rX3t;(@&1NzkoZy28D8%gd zAl}gy1RI!-+6VDZ|K#64l<)@or+@MvnEKhe?~Z-Pe>vk@#i35NT&g|xf(zbL{OG+M z2Y?*5X-0V#a5@69Ce3nn=mXBU%`o zK4LeWIJWq2j*Czk`pt+qV>tiTw~YTyTZZa^Jujg&A>4Ju(_C1L^R3QX@&GVYq7C%- zF^(4XKp00daj%5fG5TpPWSfzKx{>=&|Cu^jCNZw*##Ts6-(7eIrhaG%IcIv#s%jsF@ z*E|b7{Xfxx#<85695>&5CxGQC*`lx)MzA-yAmdM*9=;KzbI?bc4*;j3d9dU7Pz8N6 zy|h!O$1%-Y@4~(@WLX8^urM`WIO$Xkuks8YYx+wA*KmcPUw1&BQ%_}>PqsTqaeQkj zMmAMjEQF*rAbT$0KuhU}Gv_e0G1w|>dywY((Lx$dN!lE7VqD9kJ)kfb6Ll@lc2;eq zjkQoV&rBX8%0P2Ff*cS-ZTqvwoRvr`UW&|{@~VcUY?B5~nmoXTa<$71_c$aF+lMta z+4dI#iwo_y9NjQTQ-tjuz>aD4hl8)cQjD{z7g-})b^1<%c4q`;XiiJGBHoll8x>1B z104x#iFJps1%EaucPhz{B{K}F(CqnsB_&vPy*~G+%H*dDpstSCHiG3CE(LkZDZ!e? zBt{k`Xk{;~Rl4(GTS{^4m!#0NL@ZW{i@kl{zIa_GzzAl$ETYKvV1itW z0H2D_^l6@=+}YA1tjDVJ*~CMxgva2HVFEZGllUO&uS%-9yp|iS5|XB#$WxXifWKU) zW(Eo1z}ca(sW*HhqbHYm&ZMqNKurq3&_uf;4A_x4lphn7pCJzGn5!B@s&l+46R1;| zX_2*)xCPbt{a!+fWWW7cm0HA%4q z`o_QgxqyRnRJ92#PBFJpC;Y;*K$jK6^=g4mI0LL3K-heyh62-#&rD@^$jt`XRNvsy zc0hkPqv*RU_ZN=)=)0h6xWNWBGAcm@9WuE7BeW>nSy6Z0O6vuWo@1Mlnn9Za5fxOM zD+oc~nGg^|;|bp2`);5QTm02t!zo_NvKMrJfN?8&N~9gs@+&4idqIk|Vmlik@vf5E zF-@FypVy-8pZh}&h%C|y;4bwZ{I;Zg12-;T%6B!l7bUnXWqa|2KId2~RKRUrcjubA z@QU0jnqkU?H$V+1s6ADRKf}1Q*1&ut=iP|N=Nod@H~G-UyY+C$?l|@!x!9VqVhVdN z6h#{Ck9D=~bcd|dyxT)p0$yQ%xYQtuk{4OZ8Q>*8?j=%BT!a7v6KCAO=Rn9GCJ9JO zbeh2U^s6R6AYvSdBzMNe4rdICHwXaNU1!hX`@A_D+R$y`jMD5HF7c{Wb9rPL{%v?; zupPh};;Y7hCvcnLEHu>6tUt_++EH8AzAk>~8b0#*3&JiKjesizN;TW0qhhX%cQ^En zZ?^DgUFJ#}d4?v)_UD*Kf%U(WS@&Q@PH41Slby`f8y96e*9g;{Y0Hkzu`p=i|EZx@ z0LV(KyXf+)MeKaxqLSSZ{=@l!&Owhx`Zc- zH5oqOwyHHr-}r{FkKvlKsm;O>;8LYM%hkW^j=fOkFMgZSw{>#JIy0wpr4}2-Z3Ds@ zWjwGCh$@K#NQOTi8BYJ5=-X607^s8DVVHVk@bAAd+s5|k&x!S5dZzQ}iQWF0RP~>W zSpUaS0gfMt!-f>La%1jOgo~3tnY6+S*cN6hi@IBslzFq03}a5mb6V!Yd9=*oNzOHs zBC-N1+NS?pQnB60UDnCbb=ppKa=1<*)g}DgI+0=hd3Ewg=Udmw*ZmYdjdkK0*%ns? z|JeA)Syd`W$Pk_2Q`LMJ`_6aiE}u?U+){YfylT-{wf)px?q7W6EYeb`&x2@Qxp=Ic z*sUkn_p6=zxwWIIZsKxrUb{foZqrVc3x3?n&97FLgKJwfxTqoioPv_&|Bqi*yF-{NP+)aZAL1X#Rxf(NA>Z7U{Rky z*9SBiLwzDuAMb7T3BN~uJV2Tn?IMDBR1mak;Kkr)({aSZA6p$F%z#$%uzWX}ndCFd z2XV>|9C=ZIchd3n1vQ;n@3sxup=233;sIB}5x;0oGu<&aI3qb$j#L}OETeZwin@U= zyp;&*jKFZ`BI29%Ko|SNt-t;UF_477X|(F(Qd zys2^h1GiVigK-|JnG^egi)Wb`W1BfZzX&)H4ns<2hr`jbR5jAZA_p%t(~YZVDu|Gc zBom(uYrNwCrXEdlIL?V`==rhb4}KCEMexR;s{`*t>vtJhSep-9J|+8y&`lQ${c2Mdrijb)Hk)RBp&QoE*YZ0dT0 zCZcXTcwBZ@nP@xWhPg-s&2)$GWaIc~Pu$02QV^D)~B_{=^l;h0>9xP|I<%QahdTb7O1nfQvSbEPMx5CH=q*4aGbE zO)qomyb_~QTG#n@xCpCtDIt1+<*QtUJgR8Ib*}L6&x<-8TfAl@F4d(iN18}%i1~5ct zG!=KMBT>wzFX;c*36Gbgs;hcfRCubbi&RHcZHr5y*t^%+%D$z2KpxeK!d0@NX<=W= zq*ADUiYbeNM|v-^%T)uOYrctA1;hcf!oar#lWm!@<#nWb6FqazsA>M z@@kyr2j1E4=g8pURp`azVdH7@mT}y$TImRSCI1%gg88siU96(^sJKJcbyJ^suAwo1 z7?bE5`kG5)TUX7o$SSX=sU5;N5u6FOa z2wr8~v#R3w-Gr3%Uga}3S+UFea{Ro_E1g4q{+E9G#TVn#ZzE_o6wGpEnKwzPh427HsNUB4L zm<1M0wnqd<6q-+uE?I$NHqyU;t_$DvSp~%npqK_6B~ST6MjQn$L_}m&-j+}Rwd~p0 zH1atw=2`97c04Bb+ahj^FtR`IllWC-O2tw&T(IO8;vB~Y;;!=;-jSEc3m{#M zU4N0wxeHens=-w!}{DQHZy)XRIGDVZ1hsGj)wY%PvDK7j>8)r{l;=%>}UpqFaiZLZe5kFOnK|N98la|e`&wH z(Tta2{N*p%Hv{pGOAigTZU(0e#57+76Lc12$E-XW$P{=lJfzx?0?%)x@R0)6)!Ze2 zN_IrJ1Le-nc>caE3|{CZ+koo?p$V?!4$PYXipvu^4*K?PDu_A4ut+k6hI}uf#%<2a zf@;Tn-ZjqCKNYHIohFDnpk%i-?hj&>aWR(vd<+X3MXCS1}W( zUjecz2kv;o)-o9uG@ShR0B6spsPT{o9<7`?I1~8<4BL-8EH*e}n~d7y!r6GJL2RD# z6T%?tCSh(`#$xoa(~}@k6v`Qj>Fiq3_MbjB*|VYx1``trK4nGz>)$)j2h@Z%xJ6b} zZCMY1U@#M{3zy~@hcS}1b%B1sE<;8jNWujW$MIZ=o$ab)Za4fWX%&MNuE+Jm5dnrw zD~W^wUZHGPl|Rv51s@}N$LnU_d*Z2p& z`J+v9Z;q*GGE)eSOZGswHRbFxVzrp<7;cQbWz%56S-(<#n0Wi|TLH)S3wJGT?+m|p z%3DoZzUJ%J`?}AbT72^#8D2cq#WQO*xu(N=V9A~r{muy)Dq&VSmBxO6>^;lfs)%NX zgM@vXxWL%(t*O8OamL4e&P3&kAlmY8wjbKcvP>}OEt*W@3noGMYV;+}V_dMt4gezNgoy3;@GoM=)`&jQ<=_GW~>fjIyf@w+YoCk_HGZf z^_GURe;l2Phz3k(QV$54wiQvaTm#QC{27ET-Vz4Dd9<4m3mshtOcY@MrrdDrs#0J# zUQ_|Kq*LKoOf2wh6{_t6MbD6GX)n=~GpwHR)0b!6DB1BCTn}D8Lc6|QO>CN5J)6Ze zzoxPyumh^HZNs0#%|`RGZPtc8=hkq$*JWSze0bgJ$c9fNmrS~0umDSi)u_Cag$ib{ zgIle(ZB|}*J4o-|HfzpR;)H~)MK`_IU(uH zNh1}i0gXp6Bbw*v9t|bDDg*5HtL2Dq00`O1OF?=EszC|rVFfxM)mByTj9|9eF}?V- z38?MfvTk?B&0^;@`x>}=hs$h!T&+jf8~VaG-jT_>fqYYk@hB#&ZH=pH5c70<)AdDJ zifmh`$CPh+ginH=K$2dJ7*VRyhw+1Ps`DLBZ&KiAzf(URu%hhnk>zd4{I(urI&st& zx)^+IKhg;4KfflI4G?QBzxWxO|4#+_AW zE$eeSNjHJz@b3uUx+$p4J9%K|R{p7LuzkG-9XudGN`W7wlx>UbgK%{z!J{k6EgpQD z+H_|{J2YYee`ZOP&iG%*z^S*}oE5fXzbROY>T-4;OtZ31@P3vI-;8<|sl~WuR^Jvm z8M!!N)JHH4_khvTUl=<)qyZ|1jv$aGWg^Ya*~L^qGNmXpnZEGhUB!4PMV|GfT>`Fo z6iAk*Xu!WrwmzLSl0hO8JknM>#GbwRJ6#4~RXX*WrI?sSBFY+?Fo?qwXdnt*_tnoD z#sDpb?QD={OvM4615sm$&SsYT9KllprxtAS*|Kk@^#Eopsi-bRcJnhUb z6<@)Esdk3CC#vwW4i6PX&tOA?2NI$N3IHY7my9t^Feg0EghGUU5aA$3O9RSar(5Ol z4UQiEGcXo9cm)?60s@*H(|ZIKjO`jv@+2E-aoVSt#dxYiE`U(^h9Z(uz)+4EQ!bx! z`Nm)UOJj3JHb-XDMe)txy3Kyo`;1}9&gw@3?0PyFsi`#;nteFpG8g__~V@Q}~7Gox`EH?SnCbiST0t^qWje z&Nw!7OZ|e_8R||BwN{=uGb$_pE8F_h|Avm#Xesi-H)|N7wh*NRH_=DjX@1rJ{ zfTD0ijxcQ8kkPa(_!s``UKU$?G96*#f46H9{pp{;bsRqWR0+=EVxk_99x=7trgXYW8H18Hb~h4{zfI$ z`@H5dsMgeV!1lM?YtcMD5X_qEvOi)Iw^CiJ$Vy10;x(bZFzx7t>N3XFlMXN)`q~Ul z-WpqWj@R|WEV9E%6oO8g6D-a_mO2VDI&sb%gJ~|uPR$)LpQ|p9;pNx@wXw_Rgn7YN zaMLC8DGGIu1ha(u))?`+(zFKQp#s%c^OJg*VOF%^G80R^Y_m-E;U~dlZ*3Hj{V*?) zqfB-^$P&2XTPpq7khC3$-OfVBfd2R$4u3@wkYF zbkypk2VsQ3EX}HM#nABM&0o4(h`a3o~J>EA2yb7{WYk)HH(kwHhOfl2u2X!%nE zlW1oyy5RlB!mHuC^0=eA=H(H+#=rM13iCvCG7sUC2r)8lY*AU!P*nRuQFy2SyrKeC z6rJ!~mLErd5oPfh>7jkKOlKM;Cwh650v@FU8AKw8$L72+OyMNk4gJq<&sf?t>Apvq z*X{8|n&jpoK8O&Jzg}R!)Ki`{jSlVVpV^vuS;4DixwBRPa^Q2y`s)L<;%h;23!KFW zfLt6M*T@`^UQ>8ntYFt&Qu&HZ?)uEYEofGhEvIJ%9JHnF3@AdO3VH#MBeN1Qs0@?n zub^C*cm;OKEGyr6nlX@NW?3C)0FQZs$LknRhbysAyld+R)Azlhf{tsRA(}Sz!|evS zWZuI8TBncAE>k>gUA{x&sXmIVoG*7AoC_+4I{_Bak(DO0n-!qZwpb@Km+wqlK& zoE>SePvP^%o(4j*_I;v`ZrVOJO#RDVTaTbs(@Q3&2I3?gcMjl*gRas8v2m@A- zJpp7C{g|7`av_;gQeQHIqdb5m0|Cd*gpFx~EMtl+u|XkEZNhyopaNBZG5vhj>YlwU z3j`ts)SIM{+wR4ZeKUX=HTIw;0xC4RCu1y=luChC6taQuK*88eR`4AQ1t;+Zyr`Q( zK4+w7Bfgf&ML>({EwEJ(#W6vxx{Ap}amHqX#*Gw<6rg(Xi#_mC`DC<%`bX<^2B2W^ z&IShn+_cG|8qwG-z-P`|shpHA@I9tp**3C8MDq_;5$mTDusIf>xj;F88@joA$3`(_~yS~xqhBFLAidG_@#yDiuO1))n;bzf2YfN!$tJLbj$6%}r_EA41dCbWfB zv^g=9E^k6WGWnSbU{4Y7&J<~wIqp<|3$j2DZ#G@cpkQ6_rT@nQ}Yts zNFZ=tZ!t&It-04$EhwA>`C#7*%<>{&n9<@p0bPdq*_n)KDOOzwWo&m3jhc5`02;l} z)L=s$bak>I)H4FDLDKhM?J0#nA51bsoIVK9roD~d1-=#yh;`>ObuAgoPsa()`Z~gC z6q^XuVPJvkZJot(+*zl`hHJCY)^N}drRLpeCGFMr(c+y3z_tw5=oyH+5IX?D6!|xO zp7KRUE#&iaeFXZ!x{<)x`^Tp z!0R1nJon4lsd(+DegfpoPc_ad1G7PYVarP0Mv-DhO4^q6g>6v-5*-hCJWC^jETdYn~JxSV<<&6*Gwo;dDyKBWQjphi7)o+s67ymE<&-y8c~W=70Zh z)WFGk&lnm*7T-+EO?}Eq*zlOusoTDJwOrq<6;?)(vSS=KSz+7`3yn%!)y$iU31>Cn zBSp7;Q7_k>8XwJM>9kAXvo=J`#zj*$t*M3`WAQEOJ`GoF9`ZIT0NlChTR3X8!0>sN z%PjU(5uj$!k}qxymg~=w*=CY$^XgWzV418g5KGsWDyf)~E;2b&`{3bvxae^aNzp&i zP*n0*Co~rppE%!Cn1e8`8#SU0auV*~+OErsTM1ojA??uAV*?vW<951EGf=&}*f@8Q zrOkJx9H!k>gZxEZsUr}EB8Ku8^_UX6fV@PMD=*?3JrK@nK+9&dU&#*+GDRP1{@$LZYaiK%1Vc3x9!CY_o{7<@LqEq6?yCjPT$u>v@Y$ItBr_)rf_dn%^M=ZiwG|`Sb{>7~MECpdESMS=hm{+J9v1l+-Rlq8CYp2H zjdCOurUZjCy3`wSXe|Sf$7uw+i)rch@afG8RitYx#$YFmgV6X_X{MfN2c!*CY02u^ zQEAyHJjuc*)liQ{Vo$pyyj3%3i0Tz*>9VRLWx-E_%WN`Z`VF683h>rA)SC@;g33zA zC9L-`30O*2$@8Mti5H;bQxt;6(Tqp{)&sUBW`)@14KtUr zy*2Vq0!R{jUTY{$X4;QzrLFHqG{)JBJ^;^#2Y=k=yYTOFO$|dQ;9iIbG>jsG+SD`5 zF|PmuAl_{saK-l9Q&HZ??NTO5eR-iIehx!0q^|!WpLmxx50g}1m%E`(qSeP?$mUcv z)H@!le5XiVe{=+UjdKyg4<7@nLjEN2+LO?HqcPaSAB~#kIgj3~Z6Tb3*;l+JD}Vn| z+x%tQ7Wq`cvG*AMwov2J(1wKa{6}|I9PU^Yvo*M_8-S0$RHP@~F>HV=9+ri#g{=D4 zo`#Hc$-X%QS?`4j65K22O3Jz*U-driyDv7x2Y;C=K|H)Vs?deUqMtP5F!%6sVzPHP z&)q^twSUIkT;;qeKN{Rx$|2(51^L0MjkB^=Qf`(ND=2aNc~{rz`SS9TUd@M9Ry`ks z$5_wDV@5NwRA0M~_N-vX(p{m0XkKcfd#ek_;G644kzTRKrS9O0QmNrdge6&fZ0?5EP0vTAbHtbhR#BJUlFGKaPHJ4uvWs(vVf^d8w(xCMcsXl ztoXBJyinFUk`UCz&kM@4l+22*r%8Mghk9QCfNzth zX^*(fy6QzmI$CMYe)WFg1O_MtlPS~k@3A6azZ{>M5+FA7 z#S5Qg>IF$d^|sK=(&1CL&ztcB1E|yP07pQ$zeEb3VaL9OI}1jB%`@y8EvzkoCE%E1 z?GKw#F5uU0PT6eS7Ze%78(2?JH<}eR{r+I$#+s($r7!AP9tV~-8Fd%Y^j(LW%%{8* zc-r6_ZkiqNhdi{iEHG76ZB9KRv}h6GHjnQDZ)Wgtd9=(xg_IZ4!!9Tgdc1y5ndO4d zstNGs_MA~Wnoe=xY@oDPd)c>HrN!V9F`E|{@WqMj093HguoF+!N|~rD%d`?bWC_vb zQ>sNL%qu(Ph}BmJUDSMm&R;?g=~wY za~bR&#Xg^`PU>v`9jW|v-z9h<)if4;Q?VC6*%l4%`N!)FO(CQnLRGAm(ezctK*l{_ zj%V29vC9$V#|(~M@C(ww88|#l+J-ABiu|yzPhFdxB!}PP?j7cFu#oCnbE&@hO`mPD zWN_utSQxaRNYP;Sj#M%pZqYsC&K=0Y-TuO4#vwupa9hk}VAT%ggWMIN07<6dksC=H-q(WPyR&wXO}%@NqWbmUEHjRd z{PdA!+M~>Q|2m8Q4ZmamdV2gq{`t;(V2(WM^JQ7?oFkeFJHkHaCX9T?+yWftWQ0rj z#a_4pENm(umtri^R#&Ai$T)OE?tT$^6Gi0Sw4>36E20R@9VCj z&a|~Sy(*lCWox5hNkmi$I(yKE3T1{@!m5?SbRD|Ux@zsB_u>~v=Ba1DP{{`Dd%#5Z zJ6dXkZ2MZawOkjmS@a+16D?ABzD^&M`~z)|2^rvULR8E_w+D!}g~3xXW=*K=!#Y~S zZ+s@sKl}C8LbeG2zy~1k*fJeb<^Yusm@U#t>S2YEo0UIV_?tqydfe*pe0Qink)IHoz>o%W($48)5@Kl<} zP^7#%D$d-WflWvTgES*hIs{r&V36+4s9Bp8H00E4zrtYBYd&U9yHQk=JSXmr#^Lbx<;Lb4I_xzgQG8w|y1*B5YK2^1R zhY35>8Yly3dSx$Fom4+~AMn*^zQqWD>!62YF|BDjxVDmtuBUNv15p$GcZ~v2D{~^r|>LUZ2_71+ri>{~~BsBb_SLE1g+Qa}F2yIMK{Q7tM4m$oU<+p#YK8PlNB8!NmN%535q%ka#Z2G2^ zVzUuv(h@82RVz-2fVkkE(a29yd8^gmeq7`#>O)=DWG|DEedvKu_$0-#K5DRrz{zGxbh3%V&SzHI>buDeuU>7WAe}spN~q)ETEWZ2lyQ`sn`2N z*v^U8eiVo#QEsbBR9-!)dyzq!A`P?R?=8*!%(}Ur{em>_O?69IS^#Nr{DQRLO?8{3 z`LXw!w9ly9%hG%@l+zp{y`h5ciz3l^UhGaHnY|$;i#ID4@;;-Acjf&aT$vkrhDFa8 zQXnkXh#ib#WY|+Ewy5%=WtTk|<78~?sU%#&bf#m6xCb>HldlCjSsd_qEOwuMAJLF> z_CIm@GJC=)4%ltdB(ZZo$(_KvAJ`@G9efq>ew{X-{Wdu_x;r z3z!-NbW)$pVpzpw)OJ7;Z0l0Ulb}6@^j)7XoUk{T@6uk75Yc}6TMvlb*sFie^%?)s z#HTJa07r#m2X~22pZ>Tx;BMqZ)u+u5o8>+$%>c(O86-JwH?X9sG*sGiNEsk?n1c-^ z)t1}do=_;-M|DTYg~{mFNs-kE--L%F5+L4^QdT(HBjbOa_?=6QrNV)EdQfOM@Zeqa z3GIv$ub6a3)7F~c0yN2rn#y)fKcazXWclrXQOQ=&VfF3D1DO#AN%{f(t2bsO4A@Vp zdy?P&J<>{PR?yzRN&@(>!?zzV-+t`sEonX{?A5f>{+lF;OX`B(gexOF>!>*+ zI2J>DMogQ_sGGE|!Ff&f<6t#r##Y}1rh@4lK8M4jD~hB4j6eA2G%5AK7?$k8_d5nj z>Oew++0))D_B1|~_I*c<<~I+1(r!5xHs=7PKVFe+o2g z<&VqrgPK&zrO>fmxb|SkG}0ynshWU+x{!1ZImg?~K%Gi9NGi{a1cHFGwBBq0qk-lu zTRr#J`C1&MIXpx`R-|N+imWB0 zlvWW3oWoylA&CP3F+i%hJ?V+ex5pxEnulA`>@T#{)!@zKuu_EEFM5n@jLl`JO;;^y z6WdCZV_tYwNYDwgGYeVAU_@Vt8omR|kx6>ihO|EjQR^ah$(sG@khSQ)ErR?QbOw(O zb0Gs6^w)xHWWHzR4vy92k3F-xK!$`lK>Ng|sOwVs^)IIX^fmPizYJA4my;g1tg)Kw zF*vY+0gbzNMp`zh**I3_q8N6s$TqU#TG63$?3=Xb?oo3+4$zCBiloVbISSiNRvfG` zm$an~qys*u>gy_5S4+)vTnlC;DYy)ELi)K0gBVwNb76GY=w`FI!a=tC<=|;*U^3Mt zllKi&eAqw0ik9N4f^R)=hq)L@c~N6f@7Hxy6FrX2D(CAA+(R>I0QI;+WL$LK@E7Vh zT8?>(%MCj9evapji%@h15F0Cv#zIdvX#2TQQRnp$EX=@MI4$eA{0mLp55vGfjuK~+ zxC`xO8SU_JVN%cr%M}EaGmz9V|`YDl9?iDm(|mXulKzLjS4DXj00_gZ!-~5hF9ynFPD2^ zo~1b1)wWX~3W=w42=bMnK%IdD8K=^(_~C(L`I`*ba;plGQIs)$5uM2xL#G zF%$;8qdh;C&3Cl^EGs@&c5*E!RDvS?dI3&ID9e<_Bm=oGI3OpXl~G>cB2tcozG*fW zMe`Ssm1j~tAvGG*aXdC~@9o%br!_+B<9Rth>b_MXX~J$89m!zG?Dxt89y$XFsCVZc z*K1@$;(7xCFpJ55IW`$b){_)CS7Wm=AVA5n%>!+ZXd-EI)Um1Ls}h{)C6**rKVKi5 z9fEF^7jQd2F@k{-7xQqn~O`4cprhw^H+qS_MnUkpvvFNt+Ip`;HDNes@V9 zg#BGVK~zBNE8#hf7hVJ{s5r$5kr^hK;9|oe$(V)v;bz)sNPEma{UKVa<<61Mr_}Kz zazpABuD^2xNhr$n8}c3NPL3B!aTIV)zOjkpZmKy21R5NrJx~8;+o;5cYyx;r(3Bvbb4O zkTJq}k{vTTR3LE5>b_iHyvjF@iGSU~Ws%-X1L)i>(X$s#97U)nM*C{;#Z1tw0%9rD znJt2ubZ z>+!u?&0#+K{%vv23lrsE_)-U-E3(#!X$@XFQoHktEpEBz;R?=@0-fvvMMmlf?1q!x9Y{^S~1!6@%(vt%CFsAZVHg5nnkhWA%yOh0GF{J+Y&aCE|96fJlF6h za@ko1Z=iaY-M+|Z&!Jq7s%GT-mJ!Y0C>@>2ho4N^PW95|L{St_IXbEl=}GHmECh}^ zo%*KC)0C7LvZ(vrp7L8da>5TmK6Y2YtaFwU_Ihf+6Ef>S1m{N~=*V>VGD}kK8CBhN zIuLMMb7)JYcgQe^Y|Ho`hFg>YXdE{v;vMy8N-ENW{s_l{=@T=eJRpWe5tsw#1UE8{ z*&p!92Nktz4lE&_X`8;`nImP2#n&jq!zPfZ;NLaeyf`NKal$oAJFaf%TYVcde0-8e zIehx(e-n;X9HXBdP32-mt13G#f`sdaBZRfz+!!HDt89!8?)mmr#|TFx{hW!f8q(?t zQe9G}*UtFL6E8ym9tQ)piKx2^$Lk|dbrwZx0gB5;6sZH#1P>=nlnZhZaq5}pz3jxf?#WcV)IBM?%TgL!np;Mv zVp}7}cE{o79eebCW)Dp9s9auvcvL+0p$EuP#A7%w>qFkQcLz|*i6%Lr;rb?GLykcH zGj}~%u9|me(c;z6YwUwr2hdI!n6XI)@d5Z8hfMGl&nB1E5aoimRy;*=2)Y164)t)o z=;lGNJ!@)gkk$e$Bh|Oi(MgveX=KVT2YlYrLD1Az+@nS&gLia)_V4|tt>F9oE-(2e z5BHz><}x)=M{&nP{H}{oVxT*t1q~Z~ih%EG-rO2MwE_B*FvswKA_Vv^crkrNQ$v!m zPhv~(NU@U_yxVrz^QZd~GI2UllG@x|u-MhM>P%wke6jIVoYO==bg4MNJOzm2x|YCl z-C**;ekmCxs<>2O`aa|Oqy=*iZn@9AgLENKebh9wiz6?*U7g;NKMe+ixb`H3 zwp|yXel%NXh2S9qzI*)20}A*XeOlD{?PK{$z{!_LD7kGgbwV7KI7m3pecQLZGb zwZG8?@XIXfGo3DKUz{~FG(h}GO0OV$TWv2LLhNW{;CcPl?M&~Hv!+Kz_2rMqKEvfr zIPPbSw;gKm=L0D!%F(kE?>q}6Q8Z4XPQm@k6fE-u(G7rQ+~EzBGin?bg)y9ZaHB8> zXz7yX3Wy9e(ac-Q8W?7{tat`cZ(Ax>F}hJ0u-m&PJJsMa$)6=7cdv_EK-7m`V2`{q zYBt!jhVdod0A0N-%6YY2*9EbjM!JTccI$$oTOA05?0G@{>hJ!og1C!}!*4;EN-~A{ zoa9Z?=bf50^zH* z0oknVKbYe$>|kr&b@5qCJW+?I3GG*Sec^Qokl&^TQi&qy!yOpBZ$3-zN!N7N%^Uog z|8bnpt79%Sc;Qel_`qfCjpVc6pt*E98r_(Np~|mo0|rr(pS6lDjeS*9_lV?64ppoMqU;8!)4fVbwgP@3L3ghui>bl(E_ybP$dohmXRITNrL@)tYkqiV}OXC5-9AM4NrElbV zzBM2cxv_jmMR>h^A9(%fZI&0$F@rCwG>4zGIcPD;*|O~0w!W&wNdT#|g=cBC_xn9Zy_&qo}1;9DRlWhEZB$K48xxj?)?xyj(auLbREJ}P!FtFE0F z$ExY(sY#TAK-e69+A~PD7xs0`MR-Is*ky8f?I9rs#gwPM#X_0H91!jXXGc;j;c}i% zp)$O6>UBD_ZCtlBttTNbk9jUqnUi@$J6y)lQ-d%`^Qy@(xAjfWD}w%e;HTCDV4pc6 ze8JhdMKB-JFYn0chJTM8d9iq>zJiMYzI-rGdB(^p@5%?0G1m<{HYGcx?`cRDz*%J6 zbbZ#6ImEchVPZy)KG|Z{W6Z$5&Li1)-3E_XxNLxPeD>jjdqG+vOAxJVQS8-5q9QGd z)a;maKNZOdC|fdI5(dj&qG;WcQa3W5(+6Usp@Aa35aCkTL-BuLUfaTuS(V27IOOn1rq%jIZ9k)a?BV%8{_UsNoG^ee`N*?bIH-7Vh{+n z$EId9a3<#k&$uF5bnXfRm-}o!#W72B@u;9-lxU0VWzk)fr1*{`$~FFHKZZ)ozx?I* z0GrUx9n{DtK}Ta=fSGO<#cgr`;xZ(BN+{l?91s3z{kG5`=cTfY-sKO1zP5jRECC)_ ze1bOY540-7T1C^(lg>+d5+#O`HapshxCqOe%J9_rtAf_I#f2ZopVno0tM=T=GB2~Q zV2z|hf$mfuN4gc_l&_-dL0r5lWtNa-_Z6NF0C_YBi`lygm=7h`Cex-bR~2`z5h51J zSAze^~HGHbVMMr1H{;1HoCw&|PTe=-6y+g*+w?yi+1Cnyq?7;C(ZrjE`xvu|RP^oMLG z3;Kk;f;~8&WvS9w%$@yzqnZ2|b3`QQnpZ)+T2mWcb)iS+R*wtjZ#Hx93j~+aruEf$ zbJNjZfksEI4QQXdq@>E70SwogXRwQ8Z8iAqxh7fv&|MJEg?=9Vu7vzqNnK;p4$1VH zdwFh6(0_JvZ=l~?8sHBd^Zj(4+>u6^0a6dl>YSH4jzp8P17EF%>6lRMzG$WKSAOHi zzMP2%z$S1&-REt!A4V*Lv&xzN)q+TJRdoC?VqVcyN#Vg`M?o0y zy_7TF-vo;W`}Z2`I(O)KZ;~V5FW4RLbE0{Jxu@f3HJD$E8%)rP&bUoXe7kr>85-!z zMr%I7xb*m{Enkae&)c_}8(vcsTd#0Id&d9ylP|ttZH3p)_?u9x2=LhIFXM0eFA8it zY3g&zYtO(I0zVYm=sjIg$j2hJr@8ufy*y|cmboW8*cQ0r!P9FYN2i5 zl<2f1ha^!ewt4s5)E8)g5D|hJl`N_R$TqMO9l*9Pgs9DYDm#8eoG)|X;jTTUO*wjW zTr3tF_o|0X)F*^^1y&F*Bw;GRB?uht0Kc&woqMT+d=3qg#15%H3e8Y;2HX@Ou!HKLWJk;(?@2?l12IHW76hI1;w!zo1XIv zpEN`|I2@y^%lcBc`&=CA3+?>op(~N*cSP_Qk^&VN`%k~ZT_sr${U$5sa(+jIq{@+A zXgt+4)d3jy=~v4H)VRo^V^vef?qr(DbqY8~Al|M&eERt9M>6EU{RkLEG7WN-Bz}y^ zx(baJz#_1wn`L`AAl1fOqk*@Z9MGvPtl)JT*99r70Yq;sKjnV9r)i>-IPRkdG-5(H5dU2Qlk3idU$_f`8;}#1=1V% zt!JCfyelXL8SNg;dS43@B`u;>R`bErsqmO-Fu{0{cTX8&faj8EC3_(mZK07|VA>^k zmBLHwB9%kdF4=Mp5A!MKQ0X?iOg(DjTh4(i6{2v1~yLuFVAlAEqq8l zlhn#O$jsq%;yhX;+yr6kv@C2lWB};TIw!z-K+la+0kqx%_R$}mj|H&z*F zyKav;T<6K~lON!)T+p25MtLEP6YU4f?#5uDZlpghioy%Qj`R7{dG<6&uIfA(G1G@yUiCHHmroV_AiaT!4Aj-;ND!LJRLE_|QSUIH z2h>CJ2rj_7K4feIoak&=$`2RvN!@rPt&5Hm*WAjypmRdxEweBn9vuo1UcGWald}&< zeN;P8omL!)Uia`-qa};(+2cuJ0)6%tMTOK9H^AMY2jmu-G8JFVHH@_b=c_v9Sh@q5 z@#q!mCLlvF!UNpspXrNA?kl*29i%u=_f1&D{=6(w1XQy~+cnd^+GR9I%;9k+TZYa! zHujbI^fNIqebP|o=CDx%bQZc34OL#^EkUyaPM|){qID6q&WmvW7?^pIA)tzXY~%(r zkY+))A;pH3S*6145pFZX2wI4XNgQb@u4RTMZJ>BXlZ>6Hkya&CS<+%RfK~#i7ES31 zmpNE;2I-}bVE{L`$jqB2+cCKFPH;75^M%7tM422I!U3EL>>tD*XBffv4)mPq)vA~`U@BuVN$Ko@Kd@x>1-_AGA_6k6_(hDJ=vZ|; zs6V4eKXbj}0-CniyP)T>m{L-8Z_C&x7y{{ZrzQ!Km#Dy}PvogLr#UmQuOr^|KON!NO)lO(f_CjuG29JRSCpoG-b5)2E2nh{8 z#E_~#Ur+$^l0dHlsK{l`WDk~9Dh;K7!~!{Rn9lJfXF2!6Ay*w8s2V;MWKi$)Z z5eJYB`1p|urqLDowvnth>S!XMlTz|41loKg@RM%yaj7W^Nv;||$@4QlpYwe_sj1%iy5 zra}#-EL_Vjy0o3AWXgD{E!8XsA{-htIhZa5=+*=b}Nbu zAvd;xE0kTOmzAkMX<4LkSQ|nA+AodkajfXBhgR3r>;BKa>GLD-j4O%Qv#i*f`gi*2 zTASe$rPhv3BHP-0BAx;|5lg&R=5V2`+m5Hr_m@ZsKK)Y2rmFi7EE4V)7+f8yHFNG$ zUA^hlFA61GB^vtNd7*=jLelb2psj&0d)YVkk6LU4j=hdlK7=Hg!{q!?ON8s(rUrD> zdJ_DY#b#x$cL2s(>?9u@v9Tp}J3q=Ig`Z`oKHF?4gTq7f2D0BuvAfq@0-4lVyjbgHd3oVUB|;uFl!lk z0TcHxu6zVA)gV-Y`AJ9bd?|KN#5(#TnF+MB6!|V^Z$~mgsmq>PoAxF8H#YeTQMQpi z6iJe^6mdwjNMI@7**?Bs2~RR16}P2xal3_Y+^UQ=AzKM?C)xoOD7ZA-WB`vYsnkn} zGkg-3GuuvRQ$>hS%hQhxt^TA6@V~cQ=*_U-@ERg7X8gm{HqBG?-7#Yl0QxH^ zNjDg8vt3~D))fpexC{eBdaFQkY{n4Qe>DNGf~#o!0X||rTngN9l;bfM2f~qw6)=*h!@V$$W>P>|f}7((N?>mK?N$~rpEtP6WH2tSi2j2K@*_)&h({6e zC?Ya9HKR(A9tU(j#cIJ4_)Vbr6Tkg-)r*De$-Mh?diluFC4t#4G!u{?V&F*Mx}k<{bM zh&3nsM7(|ncG0P7Hze9{a}H(_V+2x<62m*w%DyugQ5XeUo-@juW;>142rarPNK+nW z`uSn}17;W=AHqq9XB*x$)m=+Jh4)Gb6GLX5Mr`7W4Sy#ocz9Q`+(FhiUk>P8b$QG> zy+U~{xA0fd4EFe^$xF69=l zF*>{ra0(1AhZl9~w5Z!(=L(^30X~Nd7Ycn>7O+NIMzvHv<2OqTOG}KAgAyj z;Uu*5H-wWJ|1o%UeC*zadNt1_Qdwkfpi!z;j1*xqfZ-Pbj!USuQSy#E<5Yl{+8$zPBKT5vv@YcVJaPv~>pWkLmq$J2E6>f9d)qRd|LD=#?s&#i z&!7xN|C|Bfm)2^flf;ifOw(obfK*OM|@_W$e@8~StBCW{*I@8sOXC92v+#z)k5lso=d%n5hOo(^e zhdP)gag1z>C!v#krq%g;D~;nAJ2^Op%eh~;J8zL^{8wM<5G>|99^>v5yu}X8hd{5u zT^kPKy5ry*9jdrTK<3Y&dyp}4WP!>a5wtjELksxN{>Hy+zNdMEFxLU?3xMB62DE%o zaaVW^g42RdYQtZ`gcDgq1|Dc}=|JU6K2FEU{_H>g+n_f9;MldyEhuJXi_54%CfNyw zPx{wZN)vF|&tx9%5j#EzqY392!L_i%UKVirB{S|YPi+IdOxKaqq;zzr{gfi|!Ag(l zV(OnlGR5+9zuRwep?>J9kqr|W@gS;_z=h)GlJa^f^GRUnI|wY(38^dc{Z+L>+Wwfs zmeXANw%;mY6`gwfbwcNbQDo5OuVi=TartYgXlTU-ylw90(PW3M{0b~`x_Lnq8bDCe zu$3&EwCP6GtCio3DSgtHX)nDRg0$aDl^Rg0@-Wng>;U6m`>i3aZjOXf(*ZK-ieQFk zWNvv}++w8{cn8(n7E8-b zxyL}r=ll(2z3r>nqxkeB#wEFAkkgXxa`wW1sU$k?Il>B?A-tYGrxcH&G_n5hR`8uV z@80+K3kCXIC6h&g_oR$oOUb@3Rp`TwuU0@50gw=@yxqUnbJ*G8lOeWw%PuN~{Jj1P zO=WT}r^AgJUQMxA8xbKav|2pAy|Fi5m#tu}U+V|CF-1i`8dA;-RO|H*ti=!Yizst&heMD%x#x28Idd5d8*ytGUfB)(C4~M+^tSt-r zlOmn`v9~Nb5@sZiiy>Lm{f8NjK!J^tiSivct~U%yXl8vwioth2SynB-KT7}RPbL=X zqTh`0ukv^VMIY{;bf~p5<%fXSEop}7W79byD2{!Y4lZEHDSns{QvI{ z6@ELrE_ZOj9a-0}4IziG`jLuMCB?~e$r>ENew}#vDBwRL_|{Q@?J59ve8^b63GkKs zO4RTm5UZ$HMA?ov?h#+#qb7?7f$&<)^oZhcp2(TKcuZne?qvX3O}Bz$@xvQ1>Vv z5~0AYNv)3}03$Fm0KegZ_Doiq(t*Rhhc`Bm4uL4Bse$ATByN34ul9!FThYk8;Kz@t z43El)7@2^bJ|jgCHRUm9Leu<|bC8$rxlsy2?lox?`vHKV_zW7PtefX&r$j_zSB!r= z~C0)?LEbg-zDbs~n%D`Ia z%?UAl`m)N-yf6MA#us0x7h2N#4~!B0UVDb~2O54RWNvY-P-_tBbEW^9G}#$ePjTL^#KD6dpQ{uO zAa5#+x&#Q8VuL8ci}_jsY2EJ_4Yw|idqai4Y(bTmGyQQ6>Y;shYRIDMgo0&3>>15F zP3hYJ)pnCf^xTH#C+-|m&Eqmk(!d8)S+dLxzzRTl)78Hv-w8=c*^=$LqY)#GHP674 zQ*Wum;1A11D=Df4=M1>%#?wd_`Rpq)nh$g~ z*ChyHq;ezQoi9~oP7?7B4v@V)?edqmmE_yA{2&ZKILZ^);RR2fJ>FiZaMDA%AuH|t zfDjl2DQY!R2nu|g^NSu;fG5Sgay+ZH{f@f%ZB_Hkp`m~#1PGqOENUJ&N)UFpy0-th zhV`Q5I4kdo*|9bf&@(t45LBY9^%v%i4^*xxsmb7>f_D(?Kr|4Dc4Lg8MLLFs<`76K zt7{j{x>XKVbR}@eNg!V_eiLmrhwL&HMw;IS=>Ao|-KzK|Haar6&?Om%&%CKD$Kzn8 zN+LS))4JF^@oLMEZ4SEyMr;{#L#YCq)deL!t8O)?jllnj{;yHO9#^7 z-2QVR8;}vv;_1vQne0f`lW47oeO{>nlO@3uLF|CQDK#0Of=8l`>9T^kmRj7V{0z@} zH>%K5z6>D}Ejsj-cIq>t&9j|(?A1#qJj&ppgU~MigW9tZw~npvHJP!i_k7-cRJ7tG zt3z<9t{fm4k8sMyuCN0@+Y4eN23FrSAo45e_cTKobKioRQkKjEswO;3)m3QsHElUq z%PmYiJmglQVD0SAGEiZ7q+5}e%V@gv`7_iYQ6rjr$0oZNo!dA!&-xe_E@~jjl)*g$&`3$4 zX@?+b-66CO^|Ug0mrLqhd(IHOu^)W5Zr3+b^(Ccs%lxe1mO*qfKh-dAE1Q*ojC-m< zV)mNEI5IU2eJgv_M(z1g^;Av`eW-6}7}y)9Rl5$p0U~^rw~SGXVtVN7RrcbdB1=*p zYCx1VC0?p19nBUdLWFg6$Qi2j$m9{wAk^J8%jSS`yp6uLGkbJMZNSF?T^$<|`-<)} zI(U~Kn6c3>Tq2EXe`!)8R zTWve#1@5{5-OC6ir(7sL`@N*eOrxS)qynbP3KpeOQ^#;*_C{$h9Ju?n7@r?hiSj~4 zA`B?+qGD9ccGWNaHq;f-nx?7z{F#QCIspJliki&q{N~H68)hvLO zi!OWa54419(r&IsE#yMpxer4T!GLA0m>uhb1fBDXrL_BeU(<3xk9BP?W~G`TyIZl3 z+Smwp=Iy8acWBfxxn7ujc>O~6(OiOnqJ9JUH zI}BWCZu>)D&pd^6pK^KI{wY7>QFA_7*6U483}-$ursW23%Uyku%g$U$IOyp|MPT;r z#8b}hy_pKxRtwDKVirR;FQ(q)ds5_Ho*FMTW1MivPvB|S%I8^I2i*14H;kG-cU zRAvPzak5>{X1(4{tZ`k1fUta_yj@;mxL+>r&RPc9RHoZ?W4z*dIh^nOYQvQHS$R~# zP@0~I?o~;{h#}Jc&cwio!8eOXtljtYQL@{YST6H%YZcb5Q+S%|w*A8LTFsC}c?VM5 zaCT8;_OctMAy4}C%F<9Fc&Nya?Kx-q=jp`fLu4)+Put23FO_BTEDwU+>EOpg)(F`W zaN}*COf*>XFyz%_;DH+CN5h7W=(;=w4^+?cs|+3@ zOm2OBAOaf%U_Q#*N}Na|AELI=LiKec%8a^ut{ndBUw-igxQvx|(+I*{*9TE=0Uu&A z47>iFk;RRI7F?cEcOS^qI9;fl4~;yLigYlUEz)1IN0P#eExl3Kfxm!*^FVwCu0`e= zDK45_o?nkq49)RsD2c4YOQB05ldA+qU+gV&k}@&FJc{GFZw%Q$pCLHDmPPu}w|WQTl^U41&Vp8d1d+VjuD;gl;@9f43e6RC zu)v{FJMd;HFS$+4W_X4xB?GsFo4iG&!@LaJT}aRx)YsZz`Fc9f7IiTJqeh~iKK*fX z;Fv7At9rz^HZ5*jm>^cLJBnJ0dP^Xa4NUAU$Wm~N=IPRgcsaG)$5Mj_{hejb+cJbB z?<8P`p1~Xfo+G%3=HGtIPWi8Y*Vr?N=T4Q5?L0Eogrg;%p0YGMjr}+@l?ykoWtr?3 ziP#mu3`jBW2m|rTQz5p$YT(eFxv)8T$VDQkj`lQ^O0*V1&Z-z zprc)GGo;z{fY@tN@lHP6NuurnaYuPGfscpce8=ErYwrbkKHEs5 zVnp%$);D((r3&b4-*?&FG`N8iX^;5%dr69-zTgn8cA$H>mrB20J@q?LChbuIckE`` zfAA9>;G-T~TM*aNU->c@uA42pY%2F|O%aeLW|t@j5q0DU~n<8^zL zNTzr)93tjDCTg%i4PnhwAy%Dg4Z^<~aB3=*6C!42DNEwvLFQXLxa{lArbTj9G^Ma- z>Fq124pTt5HsWARw@D4HVs^R2HjU@eQ5YyK=};O|-7VWT!TsU}TveUiG1D^daMws0 z3~2?lzUPu1N`~YrDMD*u0l`HHw~F(GsKS_#R3QPN2RdbjK4LBj^fway&wrWL){N6) zKrPC<%M`E0t}$EMp-D%Rw7v50MqsOVh!ST!2w5|8xZ=ax4q1942=Nw$XJqcyI>F(o zWEg>C?!X%ce8$~w%9=4id&kdDcXF~9b8?`qqd#Pux?a!fl(qsu$I#9v)YTr9blEG0 ziaRnreyX4ir{X~8u{wvk1~2;s2$rL}$ttgJ9&&(6iv!~I>XX^@Er>~qGc^AM7m;*8 zqzS;5NJ*w04{QUZT0KGOYS!WcT2ko&U_2>}TJoGFAlNwen*vcTh@QjUw7ygB5G-}4 zUZJVN88&&glS7kIEcFvVKQ(!YM}RDmiOy=!Uip;aEQV452DOHn_R>C?@;7yVfpS;X zOvEepeR}{z=o^|A^Hb_Zwi59_gUIHL2e1zJwCq%lhckBI_zKSm=`QQEP${KB+YtSl zvYtm<@HkLVB`e&_b@%!sw8yiR-IVgvl)vCA&?c6H`!_-KgG{Khz-^}iqG}C((Nt`gyO{7wLbl%X{RNrERKhfrW4QFP zui5YP^|6Q$!42gKzO08;g^M%Z1{X{Gh4me|n%A41U!L=9S^_3L+-*pW#YW2sdM*$iTwYMxwnaxWl7S6ZdG+p^#lSItXKds3cY^k zsNX#m|33w@W(7zr*dP|3k&&5kGcqD?{G7abB#q<6=E|2fqiBkzZrS%z4g=GdiR~ojBq#qGj}(0H~WmOqlx1SVxU_d z_(Ccnf;g9XQ>bTLm*?5AF<`;tRgMif8X!Vd`!87<;s|;Q826MFH2V;+cIcimyCBXu z_2$GE|1%sP>nnPdZL?cGL+_FHcm0~xB2K0n%(G&2=(%0nSD2e!G{9yV0E53=k3*TVt_7TZlMcayE6Qzs?wrFl<)__M~K2!(w2#^8odUfau`0Q1%eqg`7 zerPjlba#as4 zVLn{aL-7cFfj!$Sop2~9XLQp>pGlc&a6ka{u-x+=P+=#fP5@ppbwFRGh%KF9`+}B% zEr;qXfHBZow(ifL^VdK9JBW;IZfo_Nb-=9uc>2IKi;3ZLlDSCD-BxT3Id3CSRrz3& zav!}8MJO-kojsk2WII- z>`50qK+JwL{^5__3?(>SoTdwt(OU1V4RnlCaeTg7yG8Lc{<O;tC2d_l*8#!79y zRD8;4?RZ0;Q=ryg6zNl$ISMuAb6%5Foht(xD?@`T65SXFAMtsYwb;+G8oWc(FM{@pi=DmV8T&fgh^R*SGDsM8$xvx4`1+lS+ z+6bapG@XIikhBP$VUGv@h(6OLL;)FGlX6USW$k;KR6c9W` z-}J}gFW3b#28`o!{3mZwj^hk~nIA|?hsd>PEW$ZufX~r)h35Dgw)Z;N?gbIUIE3$( z>kxmVA8$xRwBN(OwRV*1`p`HFsSNH!EqaO}&a3#-s71 zG&iA zuBERT+$!hE5b6ga$a^zwcEozsCqtiJ9#~N4Rbl>fMtSyQk?>hjZ#PvzvaI0^s*@@< z5*hL4!LLQwpEmAolG@1kfEZA01aO;vN;%;B&&u4@iZ6KcJ5Bi2&qyo!)z8$g{=Kg) zAzY5euTj7oU4w19roP!!zxr?Tzx(g}mZ`_T+sgkVMkNKl({TbE{e8Rr)aUH zwZ^sr#IC2U)`_1&-*TNN-|`UR0MS|N%|U%&8+TGsfU0{W=XL%7i$4_WYq5TH|Wmx5;Ml|r1q%J_pASQ}FzWEWLdq}$0CfRUR zVv@L7i)q*>iI*UuLsOl_@D%!zj7@{lOe{|B(}w7i+RsrnBOqKszHH#!S97}9Vm9)L z9fKHA;@t!wK3&-$Y7e zl>ss=iHNLm+fInOh;_FmO}g6e7XnJ;%_&Y2vJkLF z&J$%C&cw_5xpQh`y1RAjwR~tvYI9xGE}YYwCB0j}&;o!Y^p*+>%e;pELLi!?yjw@@ zr3Yt*?$e@%ixy83F6#HM(K?Tab0&g&00ZV@mzC+&JRM%FR3ESuh{4rlR#u|^&SpygiQi+pFYwnR&vwMAMabJRypMypGgv5ogl8aLT|uo5h5 z?CgqDVulzP(uVGs*2z9u3CQ7)hL2FW!YgFMWCw&whv*hvAsCdB$epB0+#SG;!zYi{ z&J6fs;^?uG(%w)n+q4*uhzfnWB+<$K%^z!X2JzWB%O1OO3^Sma5{(@o0+s$jI)EHi z3kkzX5>K49XzuUCXKA7L!$>mE_Ap$5|DPqt-}-W$*kUUhKKo~%O_!4R~ZD_NoNbxyUg2D1@Rtqkud)NSR z?7zi14T5@}&zO!72+n&Lk9VY1RK*T?V@g5NDDFSgoa#{DSjA{n9Y=gk_2~<$lUNdG z`&2c}+R+IgXg=q%{SS9?K(7FWo-u}?jQtA$vDgyC^P=k8tJ>jEwpORFrR&hj*|FJR zSDdr+`G)v!T5*>hc7a83T{%c2*^Fm7tMOI)wZuJyHNo904G^qnDoapIk#4v#9uDlT zsyt?&pFnI2TVxx!ee*HE@@BjM4j!*f>KQk6^`zQFg#>4=_#`T{H9j`jw03*BvJbDi zxkx+Z@TLHC?N<^FwFBr`b;U|gS2Z=bY}k=KYrnR}k+tPZeK|c`c1VBbo~in4M= zW%^0>bsX~_z0>%mlE-3r2eEB}nOFG&3(r;+KrIE-T6Z!Z=*uG{XZkOIa)Z)I0;A7I zen?_9sWEdi6Z3(7Ke9ESW4WZgocVOoe4tNx3}~r9W7Cm%NROI40AZwqK7nuSAU89kLj3zO>WeA#7 z&1yg^%Nb$QUh=jYh;S5Gp+Z`_jv)&ZLgGhYHo)+nRpZZ8#0^FTFp3^HQ$VW$l7Hkbg*JYyfq2C z?GF@y3r=#}eh)+!_NU-eDAF7_KJlVYMmL;bpy2TZ5Q8zoRSfnt#9)ln3>0x3p-d|= zL~hW0oxqrl?|^EK!HqdLt-{C;V=#WwAkLx}v4BA9A8nM1Uh8S7&E@oE^0&e1h7WUfhO1%=Pz$^xa9ThK6A_cG3vy?sXj9}i6WxM*8p`6D7)jlrKkQpa~Kz$^o3wy9w6JVM*vmS+*#NWz{ zok;wF01g!a%Ti#$t`XN@e={LgR$KN&aRw@Ir?N;_gty-Y#|>{SwwyQa^Zx7)erv`^ zZUpmST*b46*TfKGZdIvGu$zpEKu;Y~bK8*uZhpuQ1xdNQA5Jnn8ZI~lu$I&p)$^*2 z6ZZNKRU?2cBuY%}ykRa;5EWvTYXKKPs7$xUOszVd74_d$;8qyG>DV7aF?tKtIPIy? zY79(>Lgi-Lbj6i+(xJiHnC=8JS85!tFNrm%m_wE`#x^yxHLqQvvS+i~0d|P95LrhX z3DOAeiDy^pIWrbo+I{xMCKs+Fj343D1{}6sb=O4XHrk6;N2gXI+V~B26GYk5Yvl8F zLqh&_Fq@hW_0(o3lc7d%1d@c$wK}YfvB4prch8Nsp-PJiAA>8f1@SAP|`jksMAS(;t==k)RsrH(!v(1Iaf#MbPN_av^R!h z4y9?E>%Ob2=OsTbjM-=~sD3!9*cT*VxA}w%lL0&GR8hAwBG1e)?v`biMpaZdSgb#! zY)s|%cEhJMrET@@z``h%?~~Ts=sVit8}66c+AQ7`v?Xt0ZeQ}ff>m8$@Cd^ugez*b zH5+KT*mq#!(N=k8QuR+}w0qT2Y_-e$!(xpS(w4 zI6w&@>PH-C(T{NyILH$iSYhF>Ze~Mob-XM1^-qQxdPVP~5+i^{DT z-@dg}|3AMiJme9bcL4ewVT^5tB#xpbIxk22BXMf*$#-L8z$}iQNbqMuJ;-m&VFMAq z@xs?ia5Y&cvcOda46|d09P~`kjYB4dsDx|C%1dfJw6e`ril_ohbmK8T;ymJ_zd~*X z9gV8R@dRTzVM?JdpwVGKQ*x1i2{Vlb`e@(;Tsh$okRkOrpD~SbDHpW<_aE@>GrV@S z_a?A1GQQz}k*K3xP7msYQzXHEW3$VBzS;Buf(Gu1`RH1pKKX2)6xOmi_MmQt2i!}( zUqJBosvM!vaB0SPxKpGw!?yxa(c~oHbIAi}GZVDYdo{&PG07RQE!tEUb{!rF-$Qvc zA}jWE#9~0rVRO^;u~@;dbs8nsh=Fhk*JBJQq9=T)SGyzuxUcN0Fr>m_`vsMOO@hXI zWcQ9~*U;p;;Na+>)R6vv`@MJX7$FW|(FlklGZ=Fn&YK7pCX>3pji70aN~2%~>2u|n zgA&?M!Cn|d5QnT6K1s)ZX+F5b(yr}9xNwJ0xveP$J*AV{nwd1meArb@vhV{23Q*;7(+Pij+b*dG&NHYA@_It!eo>JmtpgARuEbF+Tr47cnfOowBY?hHwnHudyPK?`Jp%(PiZiX=CY2zZs z?aRw;tz7Oar>|9L{2y#V^$a^O_Ry^@jui}ZhXVkk>l199n%3f#4WR3Sf_tuC zTOMukZB|_S=Z?d#-dpdDt%6*4CEbog3tqF5Er6^L0jq2y+X98X&lVsHXZrv%q>^Mu z90WTq5+lI z`63G%%>gfSTz>KCx{?auznHSAte#Z>|G9WxXK;sXRi7AlC^SN9kro#<3LRdlBhBHu z9iG28Agd|vtR;Qd-~d0RTpYl9VJsPjG3~Wnyg_GSlz>62Pv!d;E=07P0lBi_p<}=X z4q7Abc#6|?Lg!4oZ-sm2pP1P>=dTu`0lc65b*A5qraQ4Oq-e#&y^mHz0voLZ5yu&S z#KQ655U=}?T|Ig2#E-^5`oZ8W^v1#ATjz!5gWSA5lGp}RIvy|8Vb^EPtYIZ>aCT!r zOp+OuIRTsbwh;$Ss=P_6jtN?PxeL^8T8a34V06^Ib@QZr?6pTZeUgC+oM(_O)a3f0 zXgpWYnp>Tn1bTeTs0GA|F9zqCSU!iMF&u|2)ogW^dqRux6SUg0x^ne za{yLPN)9zj(}BjlnP%4>-TJJp_dubX@MwOI^G#Y$hyZXowNA{+j;{S&FT5y(0wuK< z$6@bDb9^-ZrN0WywCb79LB0dx@d2jsfFpWp;J;`e({4UVnMcUT~;QTtez`XgdGk-~MCQ%*#iM&8kc`z1UYk<1#B9 znUdC2Rn=WuS@|b*C2FT^3*ZHg_v+f3771t`5%ZZCF~LSHh#;5(kvG{m!YZnoF~>-c ztyMvt3847bUm{+$CKz$8L>b~N8A1zCe-D&MM}1a&yk#A!yRYyKBnkc{1yD-)`d_{N z85$d`Rd7>R)sc3DTcT5U3HTwGY$spfoQ3qPJOjdi-{u&k4(g=<#KJA9`cMJ?yb+6c zgjNL!J-r;qLhNAIP$$8ZA%m&h zf;f!|tuZ9ml$aWZT_$n#& z?X2HuSYLmkOyZz2->U7%ELY%_Vl@ZW+$rPpXcSqtz{wnGPbx~3aK=r-T8EW%KHevU zu73S9+KS4mL!@Mq_899m`;cv6ptGTRl#{758LSPl^SAS^7R)rA}9+IOpTkxu7%)czW$t+ZM++nm+8`_xoklfdo;wp*I#ZBVXjM2Yg7l@ zrXI(h&F0JCB-?x#hbf{lU(>pq)O#4VWI+#Eq-0=1cEf@&qf4w@&(~cRjIXpp(EKi0 zKrSB)r5_Uumle>NTJ|5}!Ks0>IBCFq>3(}8r`)I0*437Z-(xDXDFg4d z2pPRq2!l-$LN<{H!g+CKzULj08w?b#Y>m^SA8KRo1DtFe#9CuqL04|A=$lvf-+aVy z;cr3zP0Zo27=ejdZkyiSerIl~mrTM!=tRSfn>D-07~I79{Xw11%>gkRCxG-~)7Nwj zt!)S1K4vA+VB}@9hbIrBrA?)jfwqRF(Z|<)xDKm2;F+$MHhdhROIBL7qmE~^?J?OT z2MNT5BH1?^4LkeWL9EqR4nM;x{~)GQtzN2Si*^MZoz!jzgkwoCC9T^uYw6IrXp$Jr zF0Mx@SzB#j_CMSRem6X|dUS(1RdEoQG?1zP>!gXXH%5Q(OLGl=)qK*>_ID)cy{<9D z8jjte;C^Pa8koeM)v^~}39qT|OmSecc2r}H0MHm0-j|5WY|iNR8B;)dA*5P;YINut-k#fKCQL)tPTxFv}D(?q)z zs|Kxa6>L$`>ca5=JWlWP_h^>>*gQjtBTf3mX>6t$$Y0}Q2adRM2s2I&t>*-v;KYN) zLUUxuaEFsSOx~T5XT(&EZug$IS-9o9LzO&%9KS7y+M&y8Hzb`m`J{HP{57;`)lJ?r zWlkG_cUQYy>5MjKwBO9gnRK`LlUzRMYH7Jz$#kMszN%9-si5u;Qi@3#H$NJCT#K9R z6fT+Q9qeiXHnFKVr{wV@4An}GkaNI!iuBtPtj)KReE!{hKIii+4fBxFcH|9x*cUe) zvYJ#3^BG$gl*maLj_&rG9yq@K!aNp=Sn2f_!VtFZJ_&R&rA}+r>z~RVndP)^b7dS| ziZ>k{Nx#WTIJWD7kU9%*-W$Z`2)iIX8p56YchN{O^7(S!_>dKQ^{n*t6E@_)p)$(% zxT9&iw%y~9&mGuZ80vltpn^1K7`}KDmg1xAd&R)(qgWX$oS@N{idIocc*sajFQ4Iv z=uUcwiLY{M!2IJ_X?4a*w#V`CI0x^toy*z6Mf+{teV=1iTIf`#VDHe?+28w}>KkcHpS~4}SKy!zi)sMdf0toF|o&U+Wce-1v)X zI27xUp@uZqUSHKY@y&pJ%}^05*_?Z&K8s3(vr2?- zR090@YgQtZ()EXbQwdKh5lAKE*8?pS+u6K|zLsTpNh_c8Eie)@60g(D+>}NImdNxht8i>*uPuhuk67$E9_8S%Z-WAV3uS))ENhg(ks^^>D*jp z{h`}|1_Ub&h-M9lzOVrS2kfR*>3%bQqZUY=`ww?$LBcKgC;#BxI}Xrs&T683(gC&) z6^>Qc!8%q5}GYNSDb-5_tUDn6_R)77+DHD#^x}IBfHNZkk)KuGAn33c3|-*F zux4}I=J;Lzk z!4G3MpxU z;EFy@f)Jc&ua81c!hO_Z38R;;z**#+mmE6+U&j#|7zFX>>O=&0b;kDgY)OB>y}Q|? zG#t}ki{S#kJ1jVsZt)e|9`qpT2X-g^ihN>czpFld(oE_;>i!Mybb!xZUAXevb_I-u z`dJY=Fw6>_U|4BZ#shJ_%x%?e+WQ^UZq$0#Ey8&t%#1UxZx}V(3li@$OFWg!2wKe{ zKjqh)@AKr}o%9H40Ds~$djojxxT3-anFOoob0r>Ci(qdEBJT+Ad$fE8T;arZ9(hNw zzgf@j-mJ$~lt3PkZmLNZKtC<>nr!589W4A3<6r*am&NJ()?jOBFgC@Ctz`}82ue-yK8+Q^<3l<8=h}ZnYxWw+|=pASt0g65L-k)rRUL4J===$EylM5-yB>2^=v~sR0`5xUJlWH z|FS$bVD@-0e=2d>VIsCG00VdDaax@l{zKazX?EE;Z>lY+EgD#ZZS?>edr>7I#mfAM zkmK@U>|iAeU_pd9V*oe~X~4#=85c=h1Tz4rX7gV=T-`U<-hL_V&bj^z(}oy zbKCWSO@1d2Y3jdzU%Y<*fdfSXxu9co>jsGged`3Ptj7F9`kAG<#9#Pxd!kFXzTl$( z77Th{x5fCQ-+T9tO_}*R5m${R2g2mVtf(}|t@hLiqCV{84Y~`>D%?pS63~{7sGE

      zclT-#2!)`hkW3KR#ScZhX%K_ZhOYXOL&+ERz!3II?>pL2ggCFwRjLDw!2{6>BFW#g zo$KE4U4$YK{AHc(#5)E^E4>@WO3iymqdSd{HI1GH-Qb1?6ZZ>9IKWuZB%)RDuLL!T z?~X#Esq~!aCZnTh2e6bxk3s*GM4W9t>)r7Vv$$OC=i zzmGfo^K1Nb_}@pzqD=)b9*0SWAqD-V4D`h1@2=!=DbFPbq%ULvg=b!$Tu18CBZT$B=$`#3@6RoJtX>!RKsAFX((&^hvzTaC@Q;O)P zK8aYd^^ugI{8^b54&SOipzel5c1i&kP)b2MPY3r_nzXOKD8-iQ3^Rl1r$PK=BZ;qr zM0U;`WA~yPH1Pl)W0|157TSR_`NE!ds^`59rAC3R<2fro2+8qfP z9B=iI!Oee;kGc#kutMeX+$16$1KAqM6g!F7`K zF3AA6DbR$QMm*%-sNpo_8=$oe9a}5y!#}NIxPmb&2^Zwx9nAWZ1EU*((|6fOj+9n5 zk)uze=r%xDEK@cTPZ_)`1sJNtu=lJTT&Onc@cN&?*u7OHt%&;ap0E84MT^BVJXWqI z)&Q}3v0gG#2KDvv#3sfdQMcyUOC+aaLjw{dU{GmWe^ENGdTGq`JtF@pBl&;QSYE+vU39suyM$0+&ghFByiv! zm^3G|?HKozmWO;_;>I>KHSiNG5;+(YV!zO+xGwyfG99p$nF7=$};O z)U{%&P&T}W+kBWNVT)P&WsSMzD1+#Q;qAQM#PvsTxquF%&)c@IuoF!yHEogO%Avt6 z!2$zal#J7?F)^F26+Cf0SZ-oY&;)IL{{i1A4zlC~=7`egNKE1zK9~-%uB|`MCdb7j z#-A8|+Z&%n*sSv80xyevA;zeW^5pb22!I+ye@%v_iATl4Hb9 zTJm}hn+;pvwe!>(!;qsB(5`Rxf;I>t#PcvrCU5@NRsQnlG;4(uw)Oz$pkzi79jX9` z*5GoL`Bkt5ws0*O>uApjB77FdjcLS{6ihH{vQ2#o`GN~>+>-PI;s{X{Xb#R_GjTpXQm69}3ILNAvEnDa;7*&$OxdxxNGgaau5!GRJaI6GfNvny##F3T+ z2+ol)Q(}Sx%u@%>oYl5RgxGMnL;s?lKUvC~xyFZOa2XCN! z1C;HlG!e%O#QIrMmM4^0tw9l$6_Ul|4N47n$HqUrh&1&`JQ6exj3#S*s16WgW-jn-)@oXMOY7en9J?VDi1*MTj%+(3)3E&T^NcD*{;*aAkGT)r8JA4}e zG^NS?f(_KAFnqN5aAkJ2;M$AM`D;JCj|f9MAw7f^euD)wqV>)WBD82N$5vQiSa9*N z5b?nT+m#M^!+Bn9X5D*j>=X`fNmxkiP)tVWxuXfdl@?=XPS$4Rt4Gt;Z z-Q02Fc|&ez%pKk~JDh^l^|cR!B$9^B^GCP&U8_&PvERGerQD_^%2vObV5a|AGg}$2<<6FK*>#q?GIpRLY7y^|RH*S){ z$Sk(yM}CwT(O5`uw_bb{i&El*Ixrp)tKDh$@#!lA9QO6{(0t!Fk}*fp=a?NQW@--} zz5uWo=cUvGNt^&}Y5;={Zi?EIsMaEr98pq>s1G>M(TG7kRB#Oyek{)OoFFh9cak%C zYkV(&1J*p{(@;6y1hqPRtBE}~`j(f3iD%H4LH-{YxIYV**iRSff6hY7so?|@fNT3+ zw-n~U^)4bsg_BGJ?=B-0TufiHAnj?cYy8b0eaRUNK-M>Kcx(_u=7F~6tgTE1^AsE$ z?5bi9285$#N$-p5L{cOoGd=2afQCo8;B+aj0Fs0C14O`17vF&F8(ma}1IeyO$R@(#~qcs~7OrJ|WQ4a3Z5rpD#mz zK59_aG!6`TucAAU5&X@b**-sk70@Mp0wui)la{(g*f{l!`>oYhtDaaPxZC;ACe@D(faL&rL2u;9ukVc$ zB%>U#wkRF(3=x{ARgd~8u-PMEG=}Yj@VZpId`c@FqXbUYS(ViOh6oj0^JxcY-k>EU z+rv)nL7j=GhALN>2kcc|QhiB9I-NPJX+Pi-DgkYL)T|fg3|-i!=dd%$h6)W&Da|-O z4lU+1OU?>qqxM4q8=b&7kTgvi_{9S3E8IRv4nNnVh*#9@G<6X7j&+T;AZ3Hr_@6-6 z&3N(n2`z6pI>L#XJf7x|7e;#loRJA@RFdXstKA^r1}JRO0r@^Ls19fIThfqdN$SjP zU7Zu?Bxiz&2+)6O!F+kb5Q`#;cE zDD1&4AvbX5(%`VG;2RVU*d+Qc;$B;aoD`7G>{^&#L}6gN4&sGyB{$!`a2+`IB}Wp& znI}E90+PxTT8#OQ3__Ciy}FE%5<&x+uu^!-Pl}!Ae1Z(H#o% zNs5Skh!IRpaS}^iJA?~TC)KE9PLhUA#1Qb1@9Fjh?d$rl?|310!`R}eOj{Z_Q(!%3 z_3=X658@aIl+X=mgCzb3gTlY|q;m7v)hLNdv3+dlwq_oHhyk90YNf*uTNzOYa(mmt z7=wZIy}-3S&o=&-cS9^v0E}J*OYfO>v90+nV%!ir%V}b7Yt0cvNo0Ep5X{9kj*2Rr zn^loLtBS*Mx|a8ZU@5U7r(0=}oq#^<0z}br=$&r`2IGE;KW&CE39)5A;V#Z&M{L-) z)$A>dSdVz)13C@hKCn|v_#yQ!J!G6sV4%W0#$jkQM40(kG0SzN7n)iOt5j5%X8e_2 zQ)(Z8hS5P_?3))Hh#4%vAa#f>#s(1_s)PRV%{nclc;N_4ro-=mj8{U>&+Ag*tt%!9 zAqT*zV3JvL%sH|8a9jbj12o*0qyP>cC-{aO(-JYIii#g=I7bQEnJ}rGO9d~FPX zG9PHYtuqd6$7v^L$v_E3myrlw!XDjhaGXF=wb7dO0a$<>yS&fo_Gf(T)y~)n;+fBo z@tVO&)#sbNGZtcZJO*VMkjlEi4F?|V18A7B&oG-voG)46<(wopPUK^%rXMbf!)d1Z zff zNk_u*q`ncUarTfDhh94Nnxu87Lx6BASkyY{7DEBQ|8nhXEIE={jblbl?8!@vs+5s+ zNjEPL7p{h3X_Yymo#i9#YHY*02@o^wGGw*ud7A^BOj-hIs7=?2Wzz ze>Uk7O#6ARt=e6;TRr(0k)HBsgJI%mT2xjB3>RK9`8Y?kD8x-xGNEeOIESRDaJKwK zD6a1U+0##?-O*aPBNb(%Xr9vwyU5|)85+&aGVy@;2>uwz1VbBXO9~c!^1uGoaZ6_~ zmlT&$B6Bjd?&J`9*J{FcQv#UAL-^Dbh>S%0 zTH+2*Pdjt*mR&B<23&zHUqTaRlb1d1^Kh5sa?C?kY$f6;?LhM^=7amVERh~93B%}@ zM7!&j1bC9V4%~>B7ieTDyzb$MMyqL2wX`Ec{@dRao?w?<7VbS-R}QSFbgV-fphl%N zo2fw&EU`gJep?N*2_VQN$}V4^%?D$_h#2lA zGn8AHG#~i*aep(Ks-~K?u#JIpn>kn+AFmco6kw;_n<#>q&;8j~F<$9U?~yG8NI%x{ z%vyK;Hd4&?6b|lt+h07qZ?iX31t(VGvuXAR?c16!v)_LGStj(vCOaOv5K6l{pTfe0 zi=p+FL(988&lAM@ofJZazx|Sf*K*6=_ui=X58IKW zaK;YYQXIOXQ`lU6WGI|KxYoSTHycL3sJ_+y(y^Mb#wDLmG3BFw>__k3F^n7^FKkKO zE-jMdE*z5{CW^4e#8TdW?UDRiM7HD?@@;&6H8)k+ainHUNckbTjX%etHubekD+C1F zrBIbzj#_L*BqICR@@R1kVula263=vuD?*)JcUi6a98O^2uqg;V(k~M$B=MSlS-uq} zMyv9T8i~`gfRm&Ehd`vsLscLR+H$QhHueQ7QrDOLkQ&EPF^TsvX@ri&fh0I|LKqkf z;zaW6kk+;M(8~|$e=k8|Qr-~7H*^fRpIp=H32-8PdJeo?&$M>aOwuW1q(ndy`afo}K8`#nrDK$|Kpbdd zA4rMH(~-7~!SblB0qzH53_yS$b_|l8(u071>eN0`)7Zqs091AAdOlL|i9?Kk{0AEK z6k;7P<7pxSXOw>Labl`@i%(%l3ecg1;1#feMck(K{f(7YVlrqx$ChodUY1kGSa(7?+kEJQ(UXGsL)kVU+a&zO^@;qG@xXjrAr6ssEc+Y?k;G zOuN{`uCqw{{s-FCj&<#&uiao2qb*?~u>4?@H3n7Fw_`+3(-dMM;aFrW3OBLXqX?mwdn4v)(j+)K?_x8xq{~$l3tU z4ge|7w3-1A(*OO%OJDDkDK9caW$YbQ{rUP47<_Do;KDC2YPQrwfpfd^^*)z+S=A}S zdCFK)_O~`)kT??S5Lhk~i$KaltVJCaX3RKWxgA%sim`gWveX9~OBFi_Cs6^Exn+Mt zos(mTZ>!5R0$%@UTgJ1pz92(#n<1eUq%kjtEGruRx^=%Kk+(?nuh5Fc=Ic2BLI7;5 zy)qU)EU@J&Q=go}!6hRFitVBDEsVBFJ|%IMZxqX`)m%2#Q6fbKK;#R|6YRPhXbEjs z!!ezI!ZNdCb2`!vOnzi}cAq0f(4aD#&^{eOR3meV(;#v{DPS`^iZsj&nY?Qb94WYt_a5DVq0ZM7?g(T?Y?nG8Gj zlI&nTZ8Ppigxt&`8j(t!iLH3d2F^hu2GJxO+rZ|Y)MYe#4xe0x zgPR&uN8I4xCfcmF5g+OF_UaK=A(+~kk9OJj2W{b7Twx z5{nZ!cZ3=|{rzx;u*LBkjM|30=@x|+yE92%E^RzX2>*d^IQUkb(-5r}S<(VXMSf5S zLlpSF%Vs6t7#bB%7D%0zo*?Mkc8lvnH}a`>V^lA(*fLwrK-Y_DwmS@IgRC}Hj+Acy zDgFkwHezFZhZAzeoB%8Egqj8A6Jtj25BSOW9%;4Q9i+Q%yN$Y6&+R8zXH=){hGuCP2RK!BFyf>glftIg zSe+VzTz)=O1zw>;agXhUf#Y%Ws6!oXDY7$Hm!wB*?v7Nwv z;A*&l^55PYm+XSZ9_hnMLNB6?n%55(`sF7Q*l9D^(`4QuyxD~JI`Cdr6rZd(2qAU@ zu!^$zw5%Sl)x9;3>so(kTgvA8aEjnu0T5D~yDWRmKXJCr#)|y_!nci~cSCGzP$Qag zH0ll&+iYqp@@Z1|U~Z4nM!o6&dz|F8rU;;SrpOK^pGW#2J;|s2i538KDZ=a4Z6i*q z?}wA){)GC@3f&eUMjueRTstB5K;=-XRZjZ;#6rhlfPnwp7u1H#c; zi|h?ruIyd3)wfwLallCSx?o9S0bgkCayDKV6HExkbAq0Qn1?m@_BBzZDJca8~5b=|;r&1@Nv@zN26ykA5at4REf{S99OVB`w?3(q9Eb zQCultWx*ZFU%N{m!OXjo)$5JgT*bnLiFJFTzU@-j3+)mAU98Ou#9t_zkzg_>m{@hS zskS+7e>u*85V{(w7=5D^uE}5rQC+2;98CHSp@`QPoV&=-R2>|OcZil&bej$8q-epb zaoA#JpJ)o^9PM&+!kd$GxKa7GDloJ;BBE^BNSPEElOfCrrAhsXz9;?NNXU%l!#qAVoUF_q_81BX?nOT zH`Fss1NpX{ml`6Y#IVPDPc%1j7}?3Z7NW&=n#gnpm{Xl~^6UMG(98IYVU9_BS9~R-}{*8vC?_ z_tS>SakHTS0W&6|c?yKX9uR%2TgV;0>=hb~?bqbrb>-3Q% z>j|VfY#HB5ztMo?s|oyzKOD^6w0#?GGp9VOv;H?9=@VByYZMTRHC^mP9JCsCdboX| zW#e(?1nP?b9Yww^acw!7?hwo7Wfhh<{f$dLyb*@OelQ?nzTbrNr_YlU?Pq967 z1a*h31M;vK!ijl0fA>Om)wbt;pl+X(YpNH221kn}V*=*^$A5C+3wpb~CX&$;tYdbP zNcgyqW5pn&9Zg(9hjc^7uwfS-NiO;hTb8HLCM9)JT+k=wjE?+r*+)b&x?-A-o{5)^ zuKZfCE##NS&LNV~;}WT7BGOqW8N)v5v_$rC@g$=UV`Rrhi2$Bkhp23t8|QJW%{jJ| z!}eKLLt?=OCphTu;86ncB>w0%Z2^;^sXj>%CWNal(<@G!*e$rv5RA^wLk5yOTGVH2 zK0qdUMBt$GkZrp{w$R}w$N$|VHO5SRl^B;ANccGIQY8Sd9@rT*riKLbhK#x7qJ~Xe z%?FU6>|r=h9W46kq|(cwf|HB+z_*Hzf{IO9{;eNRVMXQmT>tD z|AO_CI_Pm}!$hh%u`OeJ`-bNYg$8ra_QI3}z)n_*1&Ra0WY_SZy^!9^1x?HKae`Qo z*0K>OJ81$_#JDMO*S{ErfilpFqLEo9vihzli6`6NHvetfDml9ovV5kEe z@3p-hx}2dUZC~ne%xP;N;S2}Lh+FVzar9XTNw5o|evjwPrw(FK>Y{iLPXQyPjiIP~ zFP8E{gO=7|(4C3hAe_5BUb#K*w*P(awgO+!ZWqgytqYFEg1rf}!*bY{y-Rejx%nZd z2?%$UWxI(BS^%XF_DzoC^IC^eBZC?~lp0tq;udpT#p3`yK*GN%SmCtf*J-IA2CgiU zC^H$$j4T*uqjPORKXq1$3~q}2&Rk3~XWr^yr3wl5FjuPJ+hY|b5VK%2>1OvF4AD1%M z?a@sxX3SW^-a2E&w~r7yq(cx}1viajN6YbTPrJ4YFECG+Jg#T1KO%Pkwm{I7*Lcjm zSw!t6hppSH;*!~uvOSWH#`Vkv#z6^Fy@ER#cfR&Y$>HtzCO6}IGmjmds&k=^;g1WL z8(Y<}P%ya`tT8H^(J~y|^SH~xaplyKE)0c~o$+qRnYv*{v0uSrM1_zVxQ0J2VQ$i2 z#el$UYNzF?oX3npIJW!vl%i3Ht=7&>BuI27j@|LqU7HR6RKL`Y1^nl}ssNi9LY zAtIu-PSC4Pk7&WxeU3}JuTQFkXFE?MVh65~k!(OZ?-9VQC5?AgHS7(Fw6W#m)-#Bn z_^Yu&2muK9J?gLxZ&D|~T{KXEy(d`a*~Y%Z<_hlFS637cv!;kTkQ-=wPw>zU4L0pk zh1S4f_7~BJN4UOmpNPw-)8WX03q-gFZAqkP*p@A(1wP{QRQD->q&hSf2y?)PL+IN* zwFGXZ5y`{}{U1e7@YxK9#3Z`F5`bM_g8+Mm<68j<$etA&BIw}I8t_@=kPP0nB+~~# zWTIrWjgp3CHWx@RVgraI9<9c1_yj{s3;0ekkyiCm);_lUl}a%Og%MU*t9JJ!2C6Xl3M=q_ZlVKGeO|%hq4{Sru44P#p1) zMw_yWUb@6$i#TX_7CYwgfb5MyiwWzNqD|mMa(JFbQ?Tji+J=Gjx3Qod) zo)uJU9Ir8?2WT?JjQ$KoLkS+2H4f$lQFp4X`2z2X55TP!%78qlIguW!=hvT`Cw0i0 zgSk0$XCPj(X2W_Z2gM%S5Kg;VoZZmf%ObJ@3xAQ*RC{il?0MOozT@%fFRLHj4(F0S zJN?4fWSgajtH~&kh+Ert6A$Q;Zv1(=1Js>*!QORL<~U03gh^-%n`w_4eo8O*3@X-QJz|Lz^&@p;ZS7Vc}PB&^z0 z60AqCXu#T+s)uu41Cfjl3U=zGRy633EQ zUg)%u6+4u)&GA1_!EklNhXan+CzqEx11)%wH|C(V`UF|!woZ$Dw1+scaZ<;u?N(CD z3!T=5S^i0pZqeluPiU*}+P-K7lTY57@?BpH1&@;ANu% zg2q~EJReDil(HqJuGLX>E6JC`7DUEbWh@@4l|CBY=?p$X1v2EbN0juwA^8S@hPg@&R{>liJ_l8Wrp7c*_AijIv)t~R3&MF@gGOdao6`VKjgqo zOb;t{pS&H0$PH}cLb@gM{AsOHlea@VeBbyNdh4|zmJn|ie4QY8+JeyxLtn8u+;rGN z;S2y%*IiL@#Lw@{t|2yv?9h|2T&^cy!X%Po@rcAk`4V_AO*dT985L~U;a7)X^HmKL zElr7(B?<5qB(|-;#PTI%Gd_O8rNNGkEkSU;aRw;3?4v&hP9mYz=t;nB;D|en!&3l0jikEb^-poo!XSqk62_WXq$>@y zTltbC^2K3vR@(@_po8ti3+B1)SesT3UmO_(BlGq(#uv7#@ste6myG7hGj2+ z_zOsdb}U(KP0AJ$A=i{haXW!R*$^uZ{mlg-PMfViolrh?KWTcfiR&HDmqiCIC$jv| zjl^===OUw!JKc(s*kKaRTP#N^BDX!X6Yj^*jhR~L`OJw?6p4$+#Nd+jMBxZus!!^r z@JyJns{wrQm{DknyH;=_fIam!qpy3mpGITE@|Siy5<$2M$WIf8KjT>F1(7_D10Gva zPRC04x~qJhIdJu-o;qRQg}A?}NHm(4>APG<`V6_D0cpYf8OekTy;#Z&?~Xu7YL#U5 zbjiYtq3uicokaRBLU_mLtZrZri=&v8f$#%iKHn3L3T$CgRt=fBaFP>S$L^xak(azk zP@sLygT5b%DSa#e$bm2w%-N!;>useziO&V&mOAxZIc3X!~z1ZU5PV&9SmljC;gQiBth9?2xG;2!%Tb$^u5R zc6Sg&O5mt!i$IQ%aFf2y;BUN4CN6wECD&bK8eU1|BqmQ)Y~lISd!ODG<+FWak)0uC z@R76yz@JUUW+}Jn1552vQ|$dAKOW>>gD26R1)pV((AucFt}cQBPJIYpu)R1NERsf~ zsHKN3EENPy9Pv3g2>ne`00|cjFe&AZbc=C^rSVP5#F_+Xk%&I$;>vY5sm|A8rOvd$ zYzmbgH`GiMj<|KBhi(i=ac|Vd6mr*lL+EDY5K^&{(^CZ{7Kvo|HYAx=wVa;cR+2`% z&MuirWqsmf`ySV{xB`|3Ctf)1yv^uavmh`6?#sa}Zqo)ZU}l8ddfF3+*u02%a+^1_ zE_L?lpwCSlYaV*!Hhl!3;0E!WbVi4KY=VYgr0tueFS0b8ncJ>7=|F!3B1g!}i@ZOo(Wx|Ij?Z!5dJ|h=suYa}Y*_ z#rWL`h;8PW6({PRX>)A`6NVS$2`XLBYB#xQ+`#!TZk=}&`!d7FL9OKStQ}4@`Bo1m za~W8Lx!@+W%Dw)&N$7LAD|DCRM0*m~nN5{tU4UuSy+y?3i`2=|xx$YP8b=4^2t-;>tbY_50Kco!#mZJAxCh1AsvJhhUVcr}BS zCYxn4K^|}&!00AD0#EkwgLHLN@tmcH4(_ZsjOjVnzRQcrqn%p?(qVz6$4Bi-hOdqTe5Gg{Y-F-W{%yuF(oB=@KjXPPz9 zu`Zcxaw~aa+BnpunDU-&WuG{{)B4h^yK|O?bIl0dj(P%9rfuG)hiNbBSWf09I_+@I`=^Tz<+^)|vUF0N%u*;OlO(`Epc1)|&89?BSECEBSn=l(= zU>1nK0B2r8Du{fEpn&DJxN0%E$g*u?)+9t%Y%yzbkOkUFn8ZQ&0wXX4q4iwcX(Fbn zgFvXZoh)f?dk(H)N6Mysp4j0CRkl>mT2Q6EtS9V{7G^O`+wBRnxic=i_FZOv%AYMq zPxBu6R;nzBdZw3EZcVy6wY*kB7^< zOFbAxCy7AJgjpfbL$j>0K}H*MGCRnKB`YIlBPOo>HrdEx zKhBQ;MltI`NV*a`d%|JxEoPw|_f^%|@&XRIJEILyh$1U#aZ9^1KccQCxqsMdIEu)m z((dgD#)%(THg|=8x6UyQU{Sy+ZqFONmY{?%>lpD3Vb}GRMf;eSOV6+o9fLM&Y5o zQv~9`vj+;RSAePNdn8;RQyj=fc>6Y8f4(rwkm~S8_f}>nNU$`!pCKKr@{1=iZEsg6 zObKD`@IKA(vmD|@6Mo!44mO`@cf#?#X23VdM{n}S%9`r94s7~ALpHuQc&d83SEWgxk)eQ%}OFnSW6i|+4N_Pte=F`=f@a;-WG5B z*hw6qM7>Sezum;gJwQ)Ekc0&X4t7tk-*4f-Nec4o_nC#;5WPFb_X`OY`xtk3xZd4C zko2O*8x+H(cqIHb-3zvtspvs{!7Hep^hEz*A8TF%-Ru$AvdIhRVw<`uUowHIfFIA~ zasa4!@JC@U9X?sL0Eg!UhG!uz_wfKP23(=S7|-x6Ik&}c*NTk5>RvY4kt3qO=n#;C z23)NWJSbNdTNqkC@EF)jS_&l&q33}SBY1VmV21R-NZ^5vxyl*w)G@fuQgbX<^p8}= z&^P}658k~S?lgNNE=1RA>y8m?7!nXZ?Z9=d#hZb>Ax4`$v&rgb(hme52uI@=^PxDO z9*ycl1%!X|JM(}ziD$O42^kfHErl3lTmq|jQDBHI!aVf=x}|?0E606|TpK{^h&rTm z=dY zS^eOoNfRoUywDVA!b`4R;o)m!gc7ji^3|jIQvQw$g~K*=Pu^6s8t4qTdmfZ6?)z}y=YF4>PK@cjG|x?6476y=Qv+PkSgeEf}?v}u-1*1Vx@p-6jmvxezRr(kdU&or9F@dH zZ>uwWh!x@zH-~D+(XU~3|B?f~6wrNEZ!am9oiiV9Ho(xBTjq{k1dEIqx*QATNFjw; zs^|Lk=WSkCWnMIFRZK)Ay3s`pX5eLAEX*2b-pX8Bou8_%Ip%zahz3uK0z6EusxnWl zBU%STyfd7|%|2jBeZ^MYX4`f!7+jRpyGO<_-KV*}@2F3~CR9QE5Tm{i`LF)u^%v%` zK32c_`4RC9<$|K4l?{s}Zs+obBi9wxb7M`c2A#*DGuZ)DyE(#;|5Kh;=FVsIX4SqZ z`dg$VvT>2bI0d{iPO2fXn|3t#LmWti1_BAtX$~F7yPo$T7ZELsz<8d!tZpm54aPOf zY9Sv0JwpvgjO?s{PsFw|)7S4CRpVsk^%r&aB6n)Np{x0wp`%vxWs)RE9f&HNGZ==7 z{pD=109GI&8@Stu`<{>0GrgF%MF%43M+jd2jCDce(PuPRTTNWmh<=z>XJR-EOO~6b z0_Ky-)FVfuRuxsZef`C8QOd-vbQl@{)qum{<%?tU%51B;&h*G&CL$Uc?lu~*Lerqo ziiJUv0h(Ojv?G$}IS1VQXdbK!pM<|%4i-8M%BI9%6$HZ;w*kDjVSFyPzprnN>l{13b?&v(7ha%GY+!*S0b7 ziDt{JBBPowil8o{`MIY~B7yGp=LIp+U6%G1ebq;g7y8ayivj>?aer45a}c?Vq)+vn zvk7|!PjL==R1fC2wl2l#%ZU3jn2qtP_s{7^B0Zo}5O$!hGQiBy@`8YZq;p6xt$mlK zIRYRue+`pgI?3YIj-c5&MLHV4M62aCY-4?SD034XC`Ez9+i!7bBBQhUC_6Y7L zzV^O$a66>R&2>H|?D3kPIZ$8*YiR1e+{`hd)Ul(FGC$_Sio)$N{vKk=j{D+Wt3Q-S zT~-j^jL948&;PNpv;+U>@ITjbNW83#sSQ0nq*pGU(_3RSeW#@K&g)mo+k+riu18#vWEjqx%G#mtmt(5)}y)y*c%M?#${l-%KpR`!e z=2qWSBtZborl=P0xsweb!Y*FWe>Bl)0o|^=&;r#>QS>GUS`D<*m23mVVE?K-4X+J> z0i0%{(Zq|zK-xEdJvmOGTGbiwnrUUob&R3k)f0nblr{o%riyzt(|-+kDbN>OyhE;& zI9LFso=!8idkoc0*#wuPSt@+@_k0ere<{p8I zAvHiexR{%339&qRWX(Inz6;S`;t4sS4@X3aQ}0BR0NisA{tKM1`69?&DH-mcW6A7j zdQos5LYyn@X_`2QW+^f4op>xLm_!w4XX_VPblc)Yj_Xj2YmdbwQ!o62UBo3K$L9u*omgp`u0}uq zFqRTLSdmPEo)3Q57xqX7eeE4QA?L<7&2a8DBbGwkNg?h6O+ZjWZ0`$L;chXB6yr^b z@h8{;+K)dD*ZL~_vNHJg&VvogSVlNHa-$*Q$nD=5kOD_WX0@$OG9v4xNc?qo8j3y< z=+NFNKTf`2#HkfJ6j?b0Zs>;}c8^k!4@;MEX&CIWnZ3kIdacWRXa0cH*-6{L9Vb{y z>f$0lbfma|krapG+`%V%m^EvqdGi5^<}TQgAB1x99l(-ir0&h2N-m6L@E$$5&H{@T zO!5xC<#3^OJt=82{b{TQAOQ~A8?R2uXz?Jq#{nG19CkZn2{E7TO3;&*7a1L?Xm!#! zH`CL;R~BP`8~@#p2GpoGtQQ)jb^eu0Ae@D5tU`%!N22^lBcd#6f-7c1N>07rEGnIp%|@%tsD? zhUDRx{3FbenqU1)nde{q4B_4Sc=UJD6ZzBiti;H4Ey13;>r69syQOa4h+$dK(q;`u z^7|R6s@W%wVxE3c`fZt?NoAIgGmz4so8y;cR4?;Xtj0yN4k3jvtH8)!-^gVm>V?<; zxTSOm#Tc zul|_Dw2)(e@f?$cSx4QidY*)B5WTE+I}TVu0$QicO_z3c_N)J(%?IW?GcyUS)f@a> zT&q&ct&7z6i_I&TCgEm=?JqUw{(rwM@cI$U-F2TFz+3sWEZ#uc`wXd`go5hsh5@^E z_7PdVa0=`0Khe&Wkl58jv^(|_t=tc>y8v|$1!-+UWeReSGGi=i?gSn_Sj#gl%CXK-V#sxf}Kljz6=0`aEdVO(4ZdkQ?=R|7n5&)9mMhq z5pjB;F+~kz6L)HgZb_@I1@(yBzv!NTJPbG!_Aq4vGxR{X1t2bKg`a}GnV+-$q$wN{ z3LuFN)Hy!Ax}g$S3=+BC5Dtz7tFt&E0n;5QB$Lav*?`>VjhJ!tg^27na2xEY*c1Lb zRYfzaMZ($p2oXbeXUraajy+vbkS!>s>) z2d7jv1d@4mt=$SEoH_M96nzq)LJ}WDn`t+wIZ~ZDh{ze6T>9gYF*ObJmhkt)A75u_ye_?f@ zZkYGV@2GDE!t~dzm!;9)y2iiXWfivNM?R(AEnDo=>)qhg#*C?FQ|mAB8$*q4kYn6u zAV8M@c&|?YSD#S%OaIE4tUh333?u~=$; z+vI=zLv7@jUQ-Um$?6-MLv<-YgDSop>H{3&TK$9Esz1Zet48E1Giyi@wNjOnN?~rl z%}D6oldcgQNK*UOVFW;Tu+1=WOfERi7$zgW6CuG5FvxV zZvi@FMG$t|*YD2JSBoG9fY)X<>V}7L)*}dpSIO|HyQ$faKc)5TR=Gg)$WM z=FM`D$AdU4SM5YACG|Rg{eCDYt#^*7p4;e$yzqfWp1^ZFHR(c>c z`jO$`4GE&4wg_F?NL-8J8DR(_78?VJ^F-r*X%V{YLgVDIJBK5v6moa0Hl4XWs7-D# zpa3qu(h4?DDZ;JjY&NnXW>w^CfUhB!&$W>IU(#@k4B?V>zW0z)-|KoX?h5dcV28NP z@G=-)hSrD8n8_ZVN2E{TgnQ*x3^(Qvf(M!B`TS+VFB@THig2+h3@r^n&zjyPBIGI23YBUpCeJQ`l2RSC4B43;mj z@~8303-*JQI9ygAP*VSNNk5H9llQ^KZ0a2F6@hOS5=R6FD0lKY36Np{Z-u;(fpF`# zxyhSDb#55h;7&f8SOK&md6++jI`gYIW) z8Un>6Ko|sWB>)x*>Nx;d%3$5e7toTQ1Q;pG7t%DMZ3OFhnSLfCl?2~E-9VMv&2DUOD%&B49e( zH%oOLun_Ed%C}pIaO~0lPusinxUwW^V%5{#(*mWL-w>F{nVF|vb#L9wB;C!;&CT7--OWCWZC{J$KOnv!vyz#V8TbRM^46Aje_Lftg|2RH z_O&TGacjEG5?)yvFGQ`$ZQfkC#}gfZUw+~}VJ$$Dm31hywyng2AN{)uNPs=MC`l5F zPZm?#2#ovFipakjt(32Pk`|=zZaVd^C0C|RE&JCN(}{UN5IG53$b13J(>yUn)^Gu7;R?(a-bf4c9Pxq^Jei~uRa z!pI*AX({hT(vLf0E{I7WWPSP`8~-QzGFz?!P}kXZ9%#sL1NDfc_lTtTtt8V&B(Wsg z?FE}r*Uq%7!w_rZ5mgCzQoUxA`>{u~0M;!^Z90-vVMOi3aX@w`pm8KNc`NEP9)po8Jm77;obOdHq8dKaGeMS4W4cm z7<}SB$Rsnv%x(FAA&;HbE-(9{&F_@Zgg6X|yk_)LJCxOPpOtN{%wMC{+q%KO=zwv@ zK4svRNFf46-e%Q?ZyqE42mE^28f?jcC25*qNiVp)AN+xyS!rhUT+nkz1y) zAUltN-FprVdTRql9{P(sA*#@D5i+!ziEq2~?0oMk&MrB0;Sr)M_kw5Az@u zl+$16C&@|zi^mF^`k0@KOcPcBA)({@*uH&dQf@n7dJF|!c^6vorha&>a3l%bb%Y#| z(t#!`kbuFg^mEUgVtuRP$P`&GOhRw<0+GpKPrG|jVHvvAWY>z(Vi1^ylHV2k{i>G~ z^%)L%o7!ehO~SLgjM)8|1uJHk(;=I_somGV{)Ll)j zGVk`;jhAc7fYA|Sn3R;$+o4?6W=x|N)6hm{rMV+hHF0I&~_>#?s z#9cPNU@n=D&kxpIoFDn^X>Z9pU&kT4NfJ#xYmEi5$=Uo(`Jm1;^ao3FIub6vu5Ly7eg?s#6`m9#q?;!hwP=i;gp(Jry68h289W9L}67uoy=g39%{O- z5k#A)B-7Y3sI_>{Fz9RA=HP!a#4t*a@>3?bel+AyS;GeB;&dTET>)-GcSLK8$9i(Z(JcIc_s5>af&{Zi%9uXc%S@+pO?qU=* z_4!#=Zpeq&#JW6W)}emE`K1-k>D-)IM-cw{tH1l@Nz%%c{kF)hBhI4v_Vo2v@Ag6m zWi!}Mda-O^I?U=Shof6<3++;+V;>izI^J9j>_4DP*_?~!HG5Au{xmtu#P>@Du@mk! z!wI(&={y|UZo=!hOv0mTKkgIFv6Jkuh1oS)LJB${Ae&@4|-c{_})?QZWy61kEwd93b5BdbiJE>Mpu(|dd0QO_9#Dn5+i>QHkW zy4pJCf*r(zmv!!;0e7r>PCBdYrn+r?mc|iM+T1V<8a&G#OXRuntQI)t_1CVp3Q106 z73$&+Cqc%(-!&TgLv`_*OvesG#Ek;T;w9nsq!&tmq64z-`>X5mrdpKL+?JBKPSbtY zq#w_l^qsNEZNXsqMT0>wh*fM|Ct1lmrG%Zc)-LN0M@9_awH5G6NLQ6O#Aq^`c6o=% zhyClWJ#SVC6G|o@%nCk=^7o>FiH4Z_Uld8@Z3_2*{(=XU<*PXD=b)0iH(G2|!*KKmbl{Q+mIcd-n}14~($@vnd;S7y#V#*FoW=%= z_g!Ao3}6Mh&2mg<6@3}tO@{sWk{wFy`T6QU`m=|j3i>^OmwQ%Qbmm&_E&Qigo*SZR z<_z8)DG*6Z;n}(-O9@d4`9vy7a7TPK<^8WRUo0&yp}oPnlhJ#r5Y$!WY3~tlv$4+k znGq-D2nVXr1)MOZ`@q!qejukn#4lOLXHnkU$WalC^aw9**d23BFpkpklT|Q7zcMrj zKqVMfD(2Bwmqqr4epiP^U4p7)1a9nMH6L-GhK|X=c64NjuWH>YXEik6dLYXQ3>R`fe+ zAfXe!zu+oXKoyCb#Nu!?P#Su-BQ6R|Gd{z zXn4ez;qhwajZxF#9Daa>@q+azuV$no%$6vWEJ$O(`&)fewg}(kItAl@Erkf}Ki7{} z|KVT!IvVLYc>&QA=zp&aT;@A`tjJM``mhZaUU*~u>=4BJMc(_Vbi=P8; z?F0s$r{D2u+dk#hjiITg5eCUfaqqM1tz8E0Y%+!OwXJjI@50-XE+aJS&`QEAA5zc% z?4@hMwUWOx@%#=w4#ai;jLo>grd8YNz+199GqtAwIgk{_@6-u~Ix!_Ea`+s&>(CpL zY@c8_PzPW0OfJZL1ym>*%~!sv6Myz%W+FajXxBRAo2JeAh+X7%-W`kjg6(L^UU#i& zBQs_7XE$6kSH%vK_zPWmCQZ4qsS~HGP&MUxpF?jAJ0BvZrztGg`~(AQY{(nb0tQ{A z+wr2$LA++vS*5&7@-gWtFJ^T+Q78i?BNcu2U8dQ7uTxX`5t)I=Pt8sx3txlGCui*% zH7v8;Gmas3zlDvM+a`xqI=pFzN)rbXU^t5Hd`F0tbIs)Cb8Vc7M~xoc7V-;&XJKvG z;b+fblIm0QdTU=h?6TLqt$*{EI1HZ(?m-l?mzeQP0zIB{D#>TZWkPSs_@x^gJE(+*L`xpZoL0_SQb8Af}w8#BS@ZK4)0S>}|hcHcO-8DU4?#8fUaHqP57r zE6!F~Zwi9#8Jxa};-%?|;i{^cWF7ioS*;eS5q8nM@DK#^h*-}w0V}3u^aj<4R#@TD zM@7U<){Z++2@I9NB?E&1gS=f#)Tv4{od?cB9iwv{4}HL?p7%G0um7g%j$i+$#%`}g z_o@a8P3KHc^W zqnph)!#a5tqx&%A!ahPPItd=O48Gzpe#Xs0&K$P)*}3?bSmMQm z?TPTUJP}Rlq-MIRx`FdKgvNhcO>bJ$MWdg?Xq~)O*PB#MT$v~%%b)%5a}cg0n)}3k z=(&>)HJxFaI?~gTUF;p7T{28CVoXP?eIbOIshLjr4OY(I|H)4j0tEe|Ep=I^9Jwz| z@x_)4ilQ^A(Drf*E@#;h)oW6G`sqdA*embsA12Yyu|l$i4KC0I6#?Tgr*7?n+T=r` z0bKZ~An=%Ghqp9)pnmF!Yg=O8^$oXF)q-yy`f@MMnVam`aLb<1A3nMazrIDj%}&Rn zp;r%q>R_6a45;MiqP9k<>7?#Wlp*^9H&hSYL6j znT#paO@y;1K&E6)6gs@*?IrvAw>Zx7z}p^4+c3H#6`m zI^NfGaBMF*S7klFc!YK!oel9Dt-0v*POH)D=Ax@|9_rA)Lq%^(NOczMMHjzBjr>t$4`xkw-U6$`s;rOs)l!H5&HN-sO-G&+U-#`47G@o z__3DM9C>lp<1~I?U+;AkW@MHJ&*U$E`XQFLAVCs)rQ`+=9-sCcnN3T3I z|2KJgSj_g}qnRwBhC!$%i;0J?i~1W-9Hk|AI2v)%1adw$PFDwU|ib>%UUs zc&=MM6mpsq4`a*e)qef!+MFhZ8>8OQ;OjRk#?@0+0~kmul%n{Fs0zEA z#oz{>NuzL1Wd>)00~&Er+cf)ni|IRvG1$)s-hZ4 zq!v%1$jr%(`s4_XjO$NPZP<4g8op2{?*XB4utx-$C29`XOVb6`j^~6)up~Apbh1uB zDw-<;Cy;kHSCR)zaXk>nSjMQ@hoY(Nmp(7MOedyz&bB}HbWf@9qk|Hez(+a+GuzC{ zyh<_!1x{>3fmrfUxDX&;G#HO~`hqX9Q%G&`e1=eP|sZG7Pe`@)!CPeWFz@4YPWlxYvH7e`AXmxfvD{xhwvnUL4ikscjJEo5I(PUV~RuZ~dfu~S) z;xLG!*>$`De0Lt)R{OrnN)r)&W_IE34g8%jG+C=M9r00Q-x>%WtgdkorqSer-8Hp% z<&;+kX>WS*s}rroVUz@uEA?cM#>1OuaWJyO$iWdao*>(pT7#>Zde|TC^I^WmVdA>e zt8#CsGy?Z-z-p%M%U$)561kD%&+fCsY1icP_?f{~=IzC|#HfZ^82*Ve&(HIpyH=$KJ-fu@k#T;5!3Z^-h+0$4J9ZRCfo!vnD(~cQ9NM7%D zLp}5^3Ye_LojRR5?=|O|?g^I@KhaSiA8VHQNk85N%f$_?(e7{~)NKhe4rxkEC!0vbB;c$;*`@Ovao}Sp#l#zJ&!>bX%}1pb9GUnOJmNWar^OR>uYHuKkVSEnG+hiFJD0-w ze$NvWTIfD1&G)Z*V{tEEG6I$jBY}kfNNKrHJ=C{d-9D6Euqe-4(IYSLAB)9X6qg%* zY)LpdW2yhB#y|b{M#xbOh-gn;(DV+WGiIG%E(*4;m0tz2jBccLwmr&2xy{Rx8jF8k zWvzZH{X`6nEqybpC-VUE^;ebEV}2Zn%pi4$DbWkoc+-9Tb(O!$Yr3X~^Z)r$>lf1* zJ#!(+19Pr+zPHK6hA~A|k>e4Y?ChB+@x~oq%7DP}>)+7ax0K^THvQ^K42g!mVvT;r zPYmsb@5PLy?sAqw*_s3>#^u(vX}MRrXx< zFlRtLbqw8B<%}=;jrD2!q?!JxnX|gM;yVk^y*R+W*A;OuPbut6Z%?DcK5aHnIvw_X zi!A+c9P}43Sqdh}8EhlABq1!G>6SYGVutX^3s{+u@qIDFLLQv<%fpt!?Lf$ z8}-w+d3u|T`xYz{NpR?2ISt8&5WtTGzTf z)z=&I;P6N@t1#03pj4YThl0MWqLe!<0rDbBFS|P?1lX7_G-@QTUwLzbp}ixh_giY@$t?)f?(45M zI7;UC!zwOG1&)N%uj&>X)d15p!TFvwFiiU!LOu8oV79ewN z-&v&u$yK@I8N!q0=`F?iP=J#Hk2KbRm_Kgw`SRf;`Q2J|72fU8>XNWATt04ppKW_d zr^oH#^|k(}@sQ_R97FAM*{aKCea^kqt;%bV?e~1<5Kt-KHQr^LzNrQlhG~pYjZLTLtP;M6NvPCx860&rW%((B`a5-{vQZJlm}PA;HSj zu~Tj<1r|;{Oz6}LlJgiJUNvIb>F}hG7@zqjdb5?IJJT~)yOk$E@XVL1u4cR&1_XOE z#(~2KA?I?NUuCwd+z`WH9op_^CtL@C-Kh9*+ifZCroQpX5USL*$KtZO^2H#QkV@|V zLj1VByiYYu2C86A(rEGN!OCyB5X7Y2=Nm;(Ai`lqh?mW!$xEExaE9zl<*|G42lAmJ z@2@dR8?YD~WUsXgufFylhu~ zqy5TCMW3^dPIQ{|Ae0H$F6l<=D77J0dfDx6ny{QoTj+eZ`e)yIRmKe#>p;cW+`GFK zn<-X0SKS0*vAMlj;!Jm#^R|Kt-t5=nyva7#eDZx))03xrbiJmEgnB92=U5OyLmtfd z)Pq^09Ki^160jie(iHU1J+-0G8I4)Q+hev5yS?U^u9L6tuh;ZfDG_^`eDHm|=Oa~j zda07iwysZiS4KmL;>?Az%nl&IX!z#MqN?{;M)&mk)tBs(?=R|lsbqp*G>p}Yy*K?D zis2CXg6*6rPPaGPq6*v?AY4@Ml;Mie(VK_YW6Is&HYtF825Or1yr+FgWUU`icy8bi zPyO)Kk3juk_HH_5ycRei-m(fSKGr~;iU%ut#zgas`z*80J{7z(E^pScE=4>)UxBwH zYOu?gP?b$ISDrJQx_)iy)6v9}%9?3Ef8W7iREY;r`B_$Q*lmmqDKj2DEa^A4&KrJ| zR+;Am6I_P5lk*HhckHYL&x#gb(_s5qJb9q~Q{HuUc7}fSxxrCmQ0WeQ!GdA9y0{|d zM@aPNkN`2hRJLZu0WoFxeou$MvL=|=_EvR_Ixq8#P&aIr%eBN^m)N>CIa9>I0?xDk z%Zlw_8*7iENQzP+604bVk-^721&o_piMAOuE+dn#HjS`t zJf%by3@2x@RaAQ^Ug+FW(q)htk4W>(EW6#25~MAx#uyt~UZKzQqb(_zX~ zvQo=1oyDC6^=|#SkTI@`EnRD=eAo;-ww_Uj{A*-}fCQ3{7oFhaO@&U#Qz_M^X4w~5 zZ-sc)HQ5pSI5y%VuUZA_P3;jaUvvfVkaq+2jR%|>Ru$O!Z?I^~#jv0;wYIutZcQk_ zW!q8jls_XuzSS)Te8Ky6pvY$6q>62+d)Kus)c)|ps~+oN^VNxBZ$9cfsDJDaghGDZ<#gz9F}dWeFAsZm%gF4$wi9lar7e|Ey1 z1Og^LT9rV*$Q9sJ2({_ADo9&<&L|KW2#;7`a;Ct#7)n2$1+H<|i`3=rj+X^CT317d zrWsI*4l`Z0EO13@>k9>m(2s1Lh7v|;5VGinIgpQ;N{pgUF$4gUe7Y*jT)+?`3S2xG zTBA3nl5-zpg4#>QCzE9I`($$rbfuuNcC=<{lO zvtDX``knRY^A+Yq0;2}UzaDe*RKO;;157o~PXfoq{0`H#^WBPgEA|malII)Q^Zm#keWDgTMJDl#mJ;1aU&`P1dOtN*9H& zJa}NrWehRnJ6H(I7vo}2*u79PFKp%t@`5n(8S@`Ric}ogw4Qn0e=3L!j?P7)A9+}M z+;t*FQW%JBcEf?RuzvGPA_}4)*b1B^5ZGQEJ%m`|JSfSOHi;K`^sxhPiO|HNaLd{r z08>D$za{8~dE(NYD+a?f@#2J_#p_u5kwlM*vi&rPLoPc(x(>YW)SFYswy~|8vSQzZ zVq*J_?}qdg4CpZ>#e7&tl4<)~+_G29M5ealSfpu$RoTaZLD7rs=GNnoToaqhXW zjTniTqy!pZz*s0n!$(EQo)@C|Bo%2oQZ&UNvgNE5Z2-C0cNpC)3??kYe5}W!dS$6i zuGqtB?E4N=2(2Bc=)d^mA?;0_JC;d;Wl=ZKRL^y8qU01-m)wI0+^#}Fnib&sB^lHw z&__7)ndD-l=gJ~UsBCX>`k+ZKc)!UXELgh7x}m{Hhhc8on}P}Bi5d1FooM9vDx(zh zlno3?2zPBV<2sW}!c&SaVX5k}KGP|fMwwvV%}RK85=cBu1C!QlXfVA4`%@5U;UgJ9 ztdm|!Ba4p87ekIw&v$K;25l1kI>G;P6<(U7M|nz}8B=Gi#S3-_5T?#dCPT9uV_ru( zXWH1HiL;f^(OI_PdG``N3ib_M29?|057sM|0s1^2#W;pdI+uF5AORM;on**RzN!b6 zu+L2*x{^s&&1Aw@FvW!{MGQZe#LEv<-djlHfy&P?;6hGdm8^Oa$Lxm7CRK*BM=I|t z{5xJA>PxkDspboDM00(J?{zTt6jO5tGFaJTR`N8OrnbFP!1;(!38qbkj}wz)Ra5N- zb1$@Xo-bS;@eMlQl!7rhMvSc9=@bsB8#&af>Ny27LG`p%;Pn5(D&(tW^3 z$b8?4;$!L*=gm;?wA>wo*f?v2$a7Qm!*Y`mP6{Uu8Rxel@DfQe>;_Y3yhXxvZ-VVP zTLJDHo%J-m?|Wk2kiM49jY%G1D6n%@7B5+0O}c3C%e*OmnTa12Qa|=Nw1oIZbo&9plg40c zkNqp7hq|_}PuT$9b`RJ$#y5go+x1;{AhbPtysK;851If_jeNIj@`7$@FZnKi8F0un zESxn#9}J&#d)@%6r+eVLqgOi{B_1Ho64~xHiiA%iYNw=&v)ug`zdHd<}NK|QU(?OW(%Eo6ng zc@h9VOj^_LGggkK&h21=%jb>rA)N}sA9#-EEva-?*-P=lAl0_P7%85!bKOezq#f3* zJA}_UO@F2fIxQ9DnP~y&%jZMZ?|8*MTN(y3oJN|!Sq?|bgJ z&CsqHx%@)wZ~MwT;Z1(&H)XLM)bs6yaE`HP^vIvnXZG)L&^1wB-V;Uf0(G5A(4z!J zPwyn@j!Q|zWxea#9iLxE-83$I&DUSo%1w3x#rXgT(({J3Hkxc@1ZLh&$!gj1Huo@) zovkHaG?_b**^Mbuby+QRx_Y-0&+1K6><;sZGv5R-drZ_>iZgC~x{;Q|LMl>n7oD}% zsmS*a=C}M}c#EuY$5vq{W>Xn;XqZ5}+olMPIi^=<&lG5~C@mXYj-c8IGy~I&5OW8C zQO1jQ7x1QfLHHm4;ZJ_TTW|ZU7JWX=@sa#mFFw$J?lgYm@V)uqTzuiRsrpNKSU=~m zh+a>USMXH7*s}OBS0M3q3w(qFZZ6?S6^=i(l{X#!x-3dsuVvPqG9jX%+!l1vD3Q=m z7dV*1qN?UB_8n+L{-QcY`&z@9*5U`h$)qmq)$Ueoqz#u)$IjSChM^G-mLc26qi%|0T0XK514T8 znHU0bAwjfvTZy@qsacj!`x3%xym;1fBIMZK( zOKttlY*qDqcUZh? z)o5VfW(Ds1i}Q~ZkQ4)qZrBjAjQji{hokNpRdm(efv=zkj@ zk^Mf+`PY=i0Y?FOac+yZ2SW+`8+nL7;^Cgma*%#&K9+is*dLO7K;=YS7=CgS%isep z?lf!3L~4IT@OR@utdWeXH<#nnxA5XR-yo1XB9|P;Oqj#k8vgynAwK!<()(jG;N6YK zLYBqp@jClkPLuZ;`A2{Hlb;sM-%ex{@(CC0hNr7Kk{Q zJtY3W8zddcEzA3}A305m*PL$7%=^5pce%=Q>NwVkh@!j$ZBg{1!0VJhAyO2-9f0wa3E_s%>}26ea$maiQ_Q z{TaPh`>MOy^(H%K->Dxq{d0@zJN;9`CJ87~N!$QCa@JAw9hx90i0!9qKfqs3>S1;F z;y7~Y?MEa{+xON^{GAIpRKMCW2?rA8|)Ji|B%1tf~zTL~JZTb&*GYZnc=UO>OrG!EkxVevZ3(?R6~ z5~MU!P!0WrP*g$euP{}2S=nE5J9gIrq)7)d^lTkMoRLfauP|C21x@TgMq)A&Mr6<< zgJFzf{_0qO%%QeJP(caacLgAV5~`5RN(9mBygd~a9kgS5d9w4o8uG+-58X=eI}`=w>L#<}RC-K-5ZjD`2%!udl@(4B zO-sGS}(5}!Niipwc|(Kl!3h1*;t!(PLrK3Y93Wc%qyx0+qilwt5A*I5V1d8=p#b#a3syG5Uw41Oe zalmxMp%eL1P+^BbQ`RwChB-w|T6*JGcMPSdX);owM&`OlOzn*2`6_< zFsK;3E4XJ&gP7vP%)#vNxWIT!(Hy(Z>VNq&ZR8OMj{6vaLgM2D3M2>rNvwZtd2}%j3Bp%Ph}p5Y zNMy6Q!x#qUnVKam+5@HIx3YrjJ|m<{ZJ2_*wN_Tt%kwvKt#+{8Po!?C2NgVid# z=rkg74xDj(G6|-{!HtL^du^$a?M)xp(tO9d?lGAQ`4Fx0Y)7xkpz<- zT2gqS!^n@);vfwjQ=xfKvUXK(J1aK1JYSe)sGew-QK(QcYuFBrLQ&!C{oYR4I_-vKCG<9nyGTx%QrOp`o9H}j@_Z4; zslR5VnQ_P&fbd}Lt7O%JEkK-k9GiDcImh&zO{oG5MHn{ITyUxsOiI-bwA=w4PcR-7 zCC6X+DoQ0Q8EO^G*)mW5hqCTB3JCJ2k_k#2o%5>ga)t`(7Dj-&X$uiy6^}gBRN|77 zHQSR(Y@&nJ8BK4zLmqM&uNb9T!VWrHn{0Dyi>}o$YBESR(bS5ZF1fqD0gnO|&(LIx z{b>60B=zV+F2hx1V{YXa%)y2kD6G>pyA)ij@hdb|ni+_A&I2MY{gE{;pOv>;NnrTi zFpuQoM?BGs_|!0-h6s9>VhaKOF5{#9MZ8CCq^r~}Yhr_g<(HzI)0aGY^mr>7Xg?$w zKQJQEc%eL^8m#2%twwDEy)edpA&EN$P>voCdGrJ(y@#0q3u~e59}m1D{D@6gU?;c7 zJa2Tc(1OLu$ZJ28N80In^tY8{nN53=Fr$h7EM}vk<3Ca#C!znWN=ewYlf<85)X3XG zy*(}nqRV%pgkh+4T8FJ-VsXUw4Gv)qnmMi&fJ6A>e<%=aT6Y zCio~JvrK$x2^2(M3V?k>MExVfnQI2ULKd(LMrA!%=lYh9&bs1ENv8|Oyb#>Nvy1P~ z7Somhn*LNk(=FmL;W#UqjYdbKNpl`y zF?{=ieUhVhoO7R*m!s7Xx#`Cq1394)PiXi=$xuo{^Fa)2ra$HTAr4AAtP(lw_$lR9 zqJ`T_!~EO=mm%?OEweBjC#aCd2!;{iU_U@`r6DEAEW)j7183(uHw93n#R($>2PqCQnxGrde}Ux=w{a z(Bd$6U_t!^_RU7dtVBo2wM!j9y8#N$b=%A)^=$qMg zF=aJf1%aJn`~I;n^0S3i45PQh`XfLv(m3I|Xj(QE&oS?7_PDQkV7vBel+(ApAPKPqrlx6}5 zS42aJ_!ZR_YndP+K;FuE{L_W5knYnvRL7mv5RF!$hok=oM7@uRis@*m!rJp~H__)S zM)q_^92qb90Y{{Ep>G1>!CSpdCI@|gvBD5VV%%vB;bax^-c1N|qk&GfG;a>|LWi5o zda?F&+q{7&wpV)W3C@7oTQy0~Suq~e(eOlPrblgLNq&EIAGT7%TDsy5nhOhYpG$fr zE?wK>$5eCzO~sA7`fvYSU%|{HKj?1S+V_E(>M4WX$U6bv)z2TWU#fg}Q?BvJlO4#t zmmqeBuBzlsD)|OE^hbi?YByOsh*JhjCzDG4q>|*Dw4pIs%Wd@&EeW5s64%wWJXI^O zclA!dzXjn@Ma9i4;&2@#A@)~Q(N`72p`v=v!5;bbZ(dce!Y85xM7{!8Fg2o~hJ4C{ z`j*JHpIlvq0iC)^psK_}l|)sMRJ$3Do~lC(S4?feNHCeN}x$m zLvDXnjZoD{hZ+hGFS|1DP_C+AfPBZp011ADsUld=Qb+M+4kl)J&`J{NDv_=d@>FSn zGzs~FwXPlca*2DOYQ(xmq-v<-p4gh`KqMoAA@Y(GYmO?P=<=~DpQ^#1^qT>0o)i0~ zfmByWhIF1rWvIBkO!y?iW8ay1MUvnSwbDr~1tB;a$>>QEk?LBJqgC3O)Y5Rs1L7Rx zV3nfz47Ilfp<}4YLwzHrzr=RVg&jXJhM!LjQpZdnZ>SS$wPqk7x4D7G(2GzjnAY;= zwd@Tx#j}zH^&pPpMAy)>#|wrU{=Fo?o1287s_N)z;DtnpGff;y!XM?zubmf*o<}_h zrxhYqL1_+=5(*U?M73eSy6s2P;;||&xG8frpx($UgQ}os43wKOfXpYY)p?iGQc-i+ zVOg~$n29@^xVCajU0=_%eNEJLM zZ$BFqUL$JlCQfV%RtqZa72Md3xtEU2Tv-zk_a*^726}8oM~nlJ4kU2NYU|6f79c#q zjiQZPG9(4oA+N2NPfdp~tV#wpwoD|&^zUM`GNn-rhD@L7x(_LW_)CY_ejvl!lo3BiW2M1iNhDgwY`_ zjQ#Bm=4dNj+2Vk^V@mLvpRq?vX_S(2u1QiFYx&;*LkTYWuJ-z#KMg>dLYgybf3l*|6akhREnOP!Jah_77v;yBG z-EdQXo|nZpb*2$CI(3W}s3b5!$mALGtSnOJf-{spRx%x}&RH#)Gnh;)X6lSFDNAgs z-Q^}1JOkej{K$`|30Z<^haRPWaWsR83u7Qzra?!=2bo;d&95Cg5tfg1ne+S+d$NVP zT+~&T=w*g;)OnOcM5nc(Bog0S1kt}M!>c8*N!UR{>~!%woy)-IU7D1VXB1ivq2nda zJZwEQweEBM$kszC22q^MQn`5Vh|%b8=*Dp{OXQMHN9`^Fj3^axrX1`R^Gq&-{?4<` zUtzkcI$;>c?&?3qL>zEw)$RYGWF8z_x$GFoQJIJ)h4+cTG|GpLDX{!?p#6RLa=WJU z59T1fsP|=l6%@UeNp+;Ce^=DkCnW{$#;oaB^1SQ|A-otv zyBeX5^@)ixu6cD={JsIX2a+@PH7|HHX%F16UC&vEcZFm1swjYdyt*8E>a4xH!ih$q z!}5*=xyKo5V8(Xc^Z_raeJE-H7(Qg!R=aw}zMHJmyDCfzDvn+!Z2K)is+M(<`#P?K zdp11CzvN>tQ21V)t{|Qk?8IDS;vA6;q*uD|cQqO!|2+M)up=iODnlqq(F@Y1)V zK5V~qQsZ7mZm2=q57etxyqhS{Klzt(&!OKvAj>7w@fU{Fm6+0 zYp32LVJ2g&uWG?)kn@20Kf$ROYu$;c4g`Kx9#&!~<&~V>zEfeXD*rXHefhpPPvto& zy{pgM)VI^mU>8)F;?s}N+Loc`)|snX&gEp^XjEbPJ~yC%b(^3nPni1}s8?Q`nLay; zoiK=bk+%-%dgBK{fFo`gMzE+O+YMs+(cr)wr9R!fSR8ADCUeL--d7Vs%n9j%;;qHC zBk)~^$FkUWh)D*DF;27*VZR`}IOaXIp}}RTC62M@`8fDS0duK;CvJaH8pO;n3G(!a z;ROV?YDk=pRfbeib;Ynq00|ulECid*hj3hdZWMrD59KT5v-H%V12|8 zW&lera#C!gJ_aWB*$o`MLMP@@RTBR1Qlr_Bhn~=b-03qGx;V*3bQPnAXF#;EBuG*R z5(ykxw(@e%rstjJNfzCK@I1PUd0r9(P(~;c+D7|WU!cu&V2ZE+i6xLE}!=^&tBg_f*ns+OK7dr$COmW`Dyp!9w{a!q41%_}f zZg}V;7Z%rxIkzL1dK1I0paWU3`j>yYK%SX+dl}pr-up7<-5fgFM*uV`2ew*jw@sZf zY+L+;`g6w2(fWt}N&!6R1Xsj1uD3s`J)mS}(60E+fA#fOCkel?E?<9DW&^N*j@F-J z9!$`0Bv2&V6q4)aoPQ~BGN!KzPHuG0$+p?0FI6gZepxF{E_GM%!H}RG=<#p5<2x0_V<~80+)Z5)?^L7Q|J^T( zviQ6Il5RvzZN1hnr+NSo&`=Uf`RmJfM>2*F+0BpG!5HjZ2yjE2ZLoxFReo$q|E73Q zXvjnv&bHek0~@AB4zKADPQ%lzHyyE$;XapaD z$sZY;^0@y*0udYte2OEuC0}!7cBMvz@E@Y`cp6GWn*Xg8V8O&(0d%qlI{G#BAOPpO`Gea2Kupp5c$xA*IYc&5*$j3Q%y&@eoJ^Pm^ZMO>4OK^@hWTXca;ff zRmK}u`Uwd5d0Ft_*I1u?I*U>H9R5$}^CI++X{zn_b7FfKzp(jvS1*qKO;wjXQ472= zF|x3_!kE(6r6eiNlj_Cn1$z*E{)+0Q=*&(83$wr~T@~a|i0&lmx_a>yv_q_$LNk7{ zLt&FHhKa56ROpu(!>@P~4t{cmU03Sab@Nh`l3>2(Yl>Vs`a;^5dr?i=<7JA-l!D+O zSrR7IkHXabSGh4UDd`kPBu39s-FJC0?Wq3q8RN{X#G2?h>Vk7?#5n$!tzKRgvF`^)lXA-E|0drigI&WBA`2woRe&6zWbt2^V z8=#gskbw<`{e_uKMBMgRT|yO=cib1OUB&9UBLGPU9! zqcyzIDdKkdOQEt+%K+;}<@Q_DT>PgKbE$Z#+in#1;FD`o+Pu{r(f4E!yqcQ*fzY43 zULhvt%}l{7rGw%9H0MH;28zqn=%IKl+pxp1_EnN_XI$=P+I`~TbbGqNsuJ1U4VMn%K8g5%t$@@LZ)HH;y-;x1 z-N+qr;@x!ZCY&sHu+CiPN3YnE=Q~Yr50B zo->Dn$I(cL34G@EfU_m@1x#rSfb*WWc4Mj|p_B)N`9#;phcEk5GZOQBG$qnri55*M z%iAm(J2LSCHcZAI$%i4j(}Dvx40y)RUOs)=V_epzN@Rrd{|jbJC|k}&hB5KOSbfMdN2eSXc^&F~cKnt14b^BubH|et z6RP=qj`^_KbH8I7^eOwe@TKpR<6Vip)q=L5A@_4g2W}Sg!bx2|JM%;N%(G8L3kyEC z1Y{Ns2GJ_|u#$KN5%LT(iq<&&++ccO9`2b+wIdzA(0oLPPN1mEgb<%SI$lpJ1PU+Q zA-wJ{tVDhINu_c5US19@ni5YI;ZvEx7^=3X05~*!vUx~sGo_{sWUEzopBNf>w!!@V z1sxp+w*4Sp89Lma=buS2HfK_H1g?hPSa>E7E6njLt&&$+9) z9KK2}RU3IzL30W3azs}X_5GtdR2juIGnJtlw3L1gA5=Tk70v)qE#^bvqXblzr0DYn zk;S~x`H04+md=)0^<-fkxY1dzm9rRTncVDrRDVx5flLL`F=~hvJznU1RPmYkgVY&r zSX2A|96|01wt~_r>O7Y+X?#7OXMMn3cW9SrBg}AwGhSN5aztmi9+?D5l$Wq(4 z7bZET)cs)P1&>>vHQXL$!ZYK#R&0nZv`Nt;>Bv`2CA?MThx{zC37D9-lfm*)Et*wR z?YRk7g=iQA-@fRLLi|*BO{OOp^9w?6GXf0nDPsMmUYV?SM?`a z$5!Ec_rn>7ba@`zmOwpPaJ8&E)B|Vr&;Mld$a}ak<8EhX+Kk&+CYc~3`-u#XV=U$b z(@t-XmGxvt>xk&$YgZh8*F24Q;!WLTR`I&YzW(=L|7Yg%#gI#Bq8B9VG!9uhh(o^c z!ak`+5Ob?+A`sgAl3vI; zpXjQr-{HWp@0d&OU`~}P*#yMVGYsd`o?g#&*TH~?O-SDXsO|BVZSfm@s4$IjHu&-U zd@P^nhAh4p47}ndRCl%lnIDL2e}XpK@B;Lcfa6qc#*pc6ARpSD_zmwFijzYf>#U@= z50hJ}28L{@P@3k{+U>PK|A^VZ8xigFV|}^`xyXLS!Mzr{Aj27cPv29!<)EE#U>%%y z)YSl|(s4_O&@y8*W%YNz{Q7H*nJEu~F)ug{mhzjsw2RJ99eYmnKn1r9tg0z)rj8jH zOC&QeX3=YL&IH;>^9Dtt+tvikc$-~#nl&S((g8EGz!u7SE19{kCPLqf^+{C*`BZXo z@}hqrJWt=4?+EiUdfse%X^%I?yZnrEF#c{aP-jq!9390acUS{K-DiEI8Y@6~)9v>s}$P{&O}Q!D2a2kAnG=Nl|VBAJ$>CdPqD zgPv2?48gnGB;H;=b!w+4d4MgL^R**p{wJ&2W*J8*v|m9N$I(-Lrq~I+w@~$Au28l( zcHV7s?E24@Gb!`0@>On-O=M)#_M1&D?oLb54BHZuD#+^mXhy~YYI~D=^-iQbTcEVI zKN!D3^v9wjuDWI{RlaH$Mntv8w->u1eS7x8h+ZscoTTEPtcpzXsau~Y)~D59{P8lh z1<@opZp;Ge9H!zvq`qE0?X5OcVm>7 zDVeX4QNC%gsh6kTPjw27Q@g1f>LKSHLP>mldjPqd3 zKG0>y^#aXGz|hE%m8rsDPDPWHe|IhO=KP+W;2X5%Ble)sn!S*xn@KpX90+uyU{DhF znrvkYX)$5kL)H16CcbbJ$%$z22AO9plQhC_j2xx%Oo##4Azv7xt5%>pt%=^tU8Z=5 zd2AYaFso0g(!~wA1Rtz`k0$M-p)s2ny;_(bdy=&hr&z^B!qe8s#XNImsWMj%E8+dD zexNx_nDU{3evs62*5+3AXOY%}RF<(v=sV#uXzUSijhfT%WWwaF{_V5YyRJdegK zJM%frv>!w|Fcj_o>EHVUy{9c-&iGOl@^Q$Wyck7md=!v%N%YwA{j$>!VL{4C<&TMP z;&3&6t%`*nUy6q3BcF+#xdIO$^zsDdMLvT|7o^Oynj=}9iBC49VRq#eDoz(~YT_8Y zq%-zVz0VPkYIx>zGV z5%Dt-O5iM5WpvH2c%{B!xF`FnVpy~ zTsnYlrBlq%C#3lNB@@YFg8G7%s!ikshgXfS z z`p>XOp6M%!P2HBT6rw}7I_Z5?>tDXJZgL*2AmQx1v%A{`C(IlxdT~)`?5ss>WnTbK z0|5?p)_(e(d{O2Hm^)uCyly8+-md)E)3>lN$4#7%cXT|!fC;G}O?+Q~Lt!L`q2QVt zQf={tU`C?PAZwLGt6$P#o>{C9uE*FF#|ctFMGoWd_<57>d2`2$2a3JQg$`XOW!&vB z5zCXvrUK>~jn#Nu=CjtWH>_VSO^w}E2SAfXEUbD?6fttePvSTvvTfoCl>%BIZkj}s zYVr&3j?{S`gpS2V9wQ{7E(~H=BnJpMk=}%aUxt{Sh{(O6V7eNDw4+VvP}lH{UP2qW z%#kID@U&A{BCdGmK&pN$ILKsGQGf_oXP0m2;8%4`U0O2eMc3;Hr%}EV`N`OlG;ox6 zi=?I}wCunV2(~>&>ZNGq&KtxfDRc8O5!SyJTrm6R??Zs0ADH%6xkuHW3_K84C+iaf zn4i7{R*{>aj^To2Tct88>Jcki&h5fBUfJiIac&Cb+sdX9$r>jP>XDUuM`jxqpD!@@ zU}192SC2`2UJ(F}`g?g3;VX)uG-0pGI_?()N$2rq8oC_Ki2LGgAVYhizP$25UE|pZ zJYadND#NV57L#lU{`F_1JUSgnz!g@%F_Y?RQAy5LX1}^&11c}HFI?h?O=-E#j95Sq z1o13E|IXQS-otKIpj21hbwO!)sAzNq0H!?b8P{8c)V$_b-ZqZXvwmvHJD$WNC9!l0&U>h~F8@oymXm)yN?ZdU$f zn_twHc)bZ2+EKtwaK^cav$;YfWPE|j9K^eG;`YO!o~0U}H51YO0ZYOr!!#9?j2*o# zvC_O|TTUw&HpgD!5xPW%rZP;jXitg3Jn|&kNp071x2~4A(&EtxEY3#GU&ned$8QXB;NzXcf9ueplT8sI_92j?arm-UH(xU>KXxndO8QK4c`=wP8C zy{_Wqjmp*-e4)%_APn_xuyBbwD6z^NuH?ixh+y4E}>Ko8$hDGYq9LB=Fj zXGVz$9jFyJJhg>9JulaRxxQnchN0*ibg&t%bmh~U!1iX9^;S}}&|`AUqKyTIk0Yf_ zO>BNmlL;i>V=W-KWMF_pXIy*EigBzk4D;QdPD@w5oiQai*4KQY_`)%CQO9ZpGeR(d zLoNld4RXPR`(T|GFvTXbI7e!b2X!a_L@17{Gt%Db|HI*019*yR*@C{NpBXOO&iYQ? zj9Q*I^>5iBgOoc#W~OJ*O6TlILp%0(8kP`H9~P4r#!N0@M_Ba41qqw}O6SVJ#!0Rs zJBm;`h&fLgn+ghx(sGX)voxkaoG>;QbiD}wC$dkoo0XQ!vxKDsLg))8DX(3?No0o$ z+UnX-XghXFPL%6(Lfg;wsyS_w2ZjA)c~XyDS15bD08!=XG)lj_R+9G-kI9u9ft@(y z9xIN=A!RVO1kuiG2>h2PHE>2{jmQb4zb+pI9<;%mcZcz@TytE+x_l8=rRLRLU$m83Xk62(1IuUFJSuoYaE~u0W2sQo-j95;RU$zDTrLcXSXw zw28(vP6P}Jl_w=u#r#fK6^1<{G|;o;Zm4HfJ%#>)s*GNymLv&r#JG$`Hp7LnR951r zi@jGYcZv5Y_|A-EIW)QuEiqPdoH8DWX2zf^>8Uy)YLZ0t!*oufxE7$lRy8QryF#?Poa~B<( z$SR(+5wgF#LP9xlP{%f5T1jI%T!y+8U$>GDPkCs>jTCP9NY1DHrmtq-{Jg3p80qGM z0jPZDyu()yc~kK0@o6xgHt9~A48FO^gdRS+$zb;Wb+r-!zH}yZy>Qy(RGi=P%q32& zY%ww|Mzfb4j-Eg{259moVUp>aU5vh^!9+J`>?YR)-wAq^das`KZ!!yh7@uaQ9hDc+ z4;xN(!^wbWJ9j5Y)#M(>GJ3P4@q4d!s-cv=McOj-Ck`v-#TT~INY9x-ED1ZIYQd$ul5Qa$+$<77bWH7Rzc1;0`os8U$QPYQEm3YC z_sUgm{?*_6$xjG%g`+|TBYWH9cvy9U6>+ooMT5;*j@tQd$O%a+l3P!^8oYV1ohl>u zNVKWE&*?*VuD6U<-O>ySP#X;zQj5aYr`;14<#qU-B`CK%bN5FmNAm<8@$sZ3I{X)n z_+A`wG^@+=yea7Ttf^&bX)B4>iJ%KL+@}u3X46VzIDmT7#ss13a?A(){};4WUsiI}l2a0lnEb$OReK!-IS=6zH!YZ6Tbw;% zv>+(2A`vz*KK$0;2(dr<$aK);ud%e zZR)n(cMr%O`l18T9wOq!Giz9_C21rrAz}~Ks6xR*3oGWwfU*!>BDapjp{t02#-rYS z3sU%0bORx^RtX_uzHI9HG z^2!_!Ty>};rS8fb?&dwI=pye6MKDu#^|iGKD}%0Ugs};e_mqcH4`~lt5Ul9i{oXmEq2ruP zK^SaA=EaIa#Lv5;Za5a@J0!>EVYzi^olU`%Rau&&?LoBt zL!%C#*c}L$&ln$P-pya^MD8+qp#e-WeK4+K&-CQ9qr9#Yqd%n+!=vl)6`#v z{uxhf**e~+pS;OH!Q)Fs;~n;+H?RQaGbZ7iNG6_<^uig*eO8`|W>ir9x0a4jl)+t6 zd7CkDPS_WFotb&+eq_{cLdTlC2remY^HQumfjFOZZoy0R9u1fZ8~Wc!nqk$cV}Cee z$7&jJhQo|J%Bwe4V7Jzh!!NeTa{}Z%eOSvd8cDu`VLDoopm2G6b_&~g0ncA zL4(3g7Srs@RbK(g!_RVc_TDD9+`Pm~5eH#e2PfP7Mnzl^OmDLKOxj4_Zeyb1{=oCp zgwX8EE}Sk$W=8hyohf*{GkH_I!n?jNRczjWi&yRS zw^nWU9R_LE3BF@3NvZBeCt9@e)^_@yB!hQ)tY`c?CdM4Q^Mh_G8oDz}c@6lFAoBL^ z^v29ernS%8U6D1I*op!Z(lR8fqfd`!V=C=vP=~j~98Rf!%f6?$G?$%s3uN*Zy*pO@ zH&``_p-tbpfj(PACoMhLVDCreZpnLtRlUc0!y%foMZWTEEJ-sWB~#7wy6Gei#`&)3h^+Pr)+te3LFtUs zG$BJz1X~kgd=0X?eovp|6+JZOBo*Ah*e=9gYLrJ^T{ECm5M~s5iUI9lXacw_+KkD! zGeXF`x@{%PDWk6U!H~2$^=;Z1TOguVoGiMIH!PRvl zCVytN=b}5VBBG_tn^KDqLVg`46~u*e6d^ogFjkm zPpClgUA2q)+yt%&R@& zHg!M@A>)HNwGo?cjOiI7e_RQXN%#t0!_L`k3Jt>N$8i+T2@N4Vv5Koq!#v4WUPVNJo?@r6I~_0)RJ0`Ve4{7<%C{_=rJ<&YaSS0vM`Fl+_sQ<4N$5bZ>jG zBac|~v-0fR+*uCrE*i;&@OebyvsFBYmF;#}VH0s#fW8RGSGGOT z@*JD+amCp(dG2UORyaGe%pqq&kc{wnj-3*%CEpQV;glEIv1T6coaN{SO83elKh(<0 z8#7#-@w{PTcXhw3`&Ta3ye96pJ?198>QcU|V~mU3giq6>HLqIU@pc)rXbm{Gns~%$ zAJ2&;gpRA|h5-UZbJ^!O>>ukZn!xPzm6J&KOhlcd;1G;`<4qT_Kvw_$AJMtPy#9Ja z2(I{3CA0|W+^=GO4_t4%PCWuQ#NJoW>2G^LsE6y(c_cKT6SncT7-%xo5L?wruoj3R zsX{k@urvn@9G4cucUz2Ai-RvoJa|JWUx?Hnx^p%kGmb*;v(h{0tw2 z?MH-s^ECCr4o+zXPccxLMtx=7VQCesy>wek|tt4@Z9l_VFOq@S-jxbx?G2>t| z*xq!o-5KewzSUhe5)TP>7ii+c6n8Z6ilUu5A8^lT-$78(qp;{fx59+sLAt%c&%>L! z&bab+=em<=m^@bB_+eOc;w6r5Bv`n4OeTq}E@^1bl$Xz|LUwH69mSF+!kKT!|Igmr z!^pC2X+r0{+x=!Hq!9uGJ90yRj7B&`8wej0#sG~39tH*&u)ekSj@S{IS*OnXVS1X;eXmYc z=H6@n@4eREYki;gB=NjNT(_pp%QaW{xOu(3J4Uf8Vs!3E=UpXCa{km)=CZ)J=r6K2 zi%F!IZ**9nf?88o&V3HeUc%A%p$MFaIJ5b5e*HNoU7)ttZLuRGs498%4@{BZu~Q|2 zI6u08zZ0~3C?ZUuw`R*6UKLQOpYR<)K#lYUGltfAyQD`)@HC~0O5D%hb{0QYYDkKJ1 ztSZELvMZZoLIv4fg?J#;@v?46BQKlbGt=+sszVY8@!K3zJfLcTX zIi}!P6o*cseJ=~y138pqX;djt@1>Mf7ezl%_tYq5)e67f@hEcBg34~R#vG&6b;A8k$!eJR_umEgR{>TBfkpouw5xtM*;Pc^;!=&k3 zux1t2t^^7M{qm?Hu>&0+Yimavs@+TR$U(O9wZx>_5A^T!ai+su?T38mAIE50#4Apr zt@cBWD~d5-*5%4E?`(kXDiRuN zNJ@syeb}wq$1#|fPIxA}wIAr8$0d#}-zW#h8$H0USAPT`neoPzd#f#%UbCu;C9bJFx>WX@}Oi6uFRt z6dUyg9nG7fwf5Yf7fR5VjyUDPW79bTpq4Cp>oA-OI{(fkB|*p#z9v)3S9pNBS7PS9-w`q3Y*#a6zwtd?$a5=(zhV}&I9pt9R zR_Kh7wJ(5h2WnEXBFpnWcNjdI(j`bIZYb7@EkfE)UtTU`qZWTh5HHE`IvJ`lBdq5 z+3+J16UsWL*PmPP%8wOF5sYMH$i@sAljM%19lD4N=Qv*@TRO~a%p#ZMq%Rdh^iJu+ zFhbxj-eq)p-|V7j^n*6q5rTA)GetU6q%+0*#IvrL+fs6nwjH`I;6ThA39O-K#ls#t z4CmQS_3|UCcxYxwbp|Hwjpl=aGD1I%gyl+S$(-Ude3Qhr&2U{r z-a=K7lHwA)@W$D3cokWW$5mx~(vcn47go0~$Y3M&vDjBIs(XMv(&3ZO{ixYUogXY1JGSz!Jw?ElEwU_wDIQVZ{ zZgX2`j_@1_WRb;-Inb^*8?%N_1u0-T?Mw7~*|mA0UDkxQeXQYcAV*&97IKV-);FoO(>DOv!s?8$g2Dyb4XO*~W58qRJb zfDAXx<1Oa562!}KDQM=e6u)Z(Ik=M-J8i-R4PG&juFK(;Ja`^_A?reB=KgYGb}_z- z`5upcq;PGAwqI1tRX^tf;gL1Ty3^2e$=8n8(mdIM0z70tE+u=@I-rw+Ng_T zsnY&Ozk+?eR<9Woy(PBw@s$WXyLjua@{@zaw&J~HAe?r<<&1*out))UDJ$F*Ow_2r zspaw!Q$ln0l<$VupGe&J7{}Tu8>TB#XJi!G0ohr$E#c--wZ<yGrrNT=9 zZ~{MVIvjccBGqI7!VzZpeElt6H1oC`n~_U2GD0?{GB8{hhfK*TU(|p8*B5(f3nYvE ztoqEhsNr9Z05>_jS2hC=>9`-C}<<-Sjo|lexR{v;Nd(jyOLdx%=-HxpK7F-kX)3E$A<{0(WAIMr4ylhvo5-|K^p)NqZ`mJDxffo%;13 zx4@RX)j{T8_SLrZ#b)8h0FS3))^*-kb^&Gu+7|CN?TbbH7r%U;vhBHZHQ+?HdxLXe zsc}zVd~e(zs(T0Z^Ny-fZZE)LG4(jl`;AKS)lXAVqSM|egiLQ!KOWo-7S(Fo6iG0iXi zaH!|RvUAyOkpn_v!rC@ax0f={O?@-nR1H9qc0&uK2IsHwrxrV;FXo?T{M4tVyErqi zPtF(!`WO4=T=vvm@%1Szx5qL6WV}QEJb_}>b@uOWVUVHmmNaknyZ4q%OF3QN?lrLt zLZjDw)kb~=G+OG(1+y3O@`ta0`z`(#1m8N5{EB~q^jin0+?6w|uNubxTb{Q?N0dZ%xteMwo-KV{#S`+TGNPM?X}HKfvngsp9 zEtaVb#>obNhp#`=8q-#YBQ7cjw$# zJidjO0`xAP22}{vI^WVxx6XI!E#6m4;BSBP;lqi;QA`g-Ae<;NUOdoP-sq~o&X1=R zUs@TE|Kj%LjlOnd8Q}reCt->vu>n8jIu|D*hu!iF2RE{xu(ksQ?OlLSf)UC_OTy9q zWZJ2WtSxLUy`T?+tMsy9j}tFCu35l2JO{7mlmijHD5Z1Ei)CpAd&N;Yn%dZ99+S0iT)N{$Y|*&VHu z!W5z0_1KHc@ZaODjny7t#TNN?JM+f``wD0w5FuwJzhzNg^!~Cu@3$=MYs$)IAPrbT z>wK^QKr)rXpNa2;+5KkZCVVXw_4OM#5Q&1=~S{u7wx`<(mCdCApR0#&P>WkcoSruDb!a{m=$Am_r*eN z=v{#qnu*^K9OxGnTVuO&9(C5t>%Kq|d?Vu<1%~WuM2ZjsyW!1ySu|w_qOk`Qn zO|J?Dwt9Li^Sqz@>!FFW*q5ySB5O9A4KsXOojC|;`^|1-_NRW0q}-;Wy>RHJtbxx_ z;y3aJPJJ19ll_}LodJqmp_DIjr?am1ZdKdG)R2tJ+?htuo{#V}PGL6Y<)9tw|M)<9 ze$zRdmP6YCh)%{BZS?$`1hRr#tY~)yDEJOIwEK1O?D*a%FZ&o!nXdOK3_oU!tZ(_s z(TPrH>{gu44?o6n!0DooKCteg)C*HZOWSm}e=e(%PP9+1_YsboNEv?&fXyFSp@0Vn z9d`4KWI$yF!2u;pKe|bRtDT6Wb4#$5p=_!}3CzY%LG}?S^Gc-8Ja^XbDo)~{dg&9435vZP6$*Q1OFq1Nr32BGF%zFL_-KH<@|?#_~FAlQmeVW~cs|WqthM)0w?1k*j%cAi$z6~Gcpt20&r`X(^&Wflyjc>LqjG}l} znm;eidz@MwJu1Ka*dT-QIOdC|DaHxKF~>-FryEn>EH3b7t>K9IsdNrQLxG9OKBae3 zAeBpe&DQv8P(lA6K^<6g(lUsE8d$2igk^ZfK7%bv+|?>uK?mF}KaRcm9z)~! zM3UJnm7xTt`6IC$+h4x#*0C=k5a(of^Y&)CuOj0=wR%Jh{j?!7eFsFHR&82kE0a^- zx*2zfG4fof-n3Te2iY(~Z3dCbEtK59B~zZzsfINi{1AlM-ntf>-@b*&vM=hkglbSQ zkcnbPl>)r!T8vZ2cP}ZU@%m8TS_Menz5WG!tPW2!EFGK79F{3phq@7C`qXKguA@Qh z5K%VX&;^UD$jo`!a+S#NzsqpR6=b4Rht}UDZKb6|$_>`3N<_ALHv44L zNZ2}no|PH-)_?O`l^2Y1_wz2lWusulPKLf`Q?H+BIgxJJ{<{Yzchw1Da zI#6$Apg9cxR+Pt%U1I?n>!$-29H?&Lv{-y*v&P{V{av}j+TmGnE=u;3r7^1V-9TGE z?M%57B=QWyg{d+YMZzXiz;7J+-52ZqvQ~4U!i8`k#d2M)=f!JG1%Nc{cIBdOfqC$M zeFysNMfgTj<^{ajfs7m=k6rURhCput!$KU})Z{vEby@do7G78EZsMtcEnof>;+40~ ztLJ7>M+NetsyX|PmKKmO@Q`$P-^{vpbD7DwJE3mmiybyB6b_3MgkKt$TOH&kbfOQ4 zS?l!ZE#y9d6BtlA*L9lr414keN_OZDIqfJ%DG4(SC#andz4~NPtt9*6jGCk^rqjGa zasu9(PpN8@x;>(?TGYvNDRDQJpMG&M{wLoU7uK`}a|uEL79>;)TS$$aZdk9WbDNf} zJbV1p2G9~NHEG)AU`MJo=grn`zGIXVzNBm2?fzqh+_vMfAKW-DG-c=|X~SdtI;D zD>3c+Nvd)Erv>K#8iWQ$jayYPCQ)hKwp5boI|O~dU4u#&(Kj3{_^nO0dByyxk(`0lma=f!>`S0))H1;cmd|vs<=9 zMO$kDh<$p=F|9ywj!hV;xr|7caYT$&2Q(Yhe&iB@`psz&9mxLTodqh~yC0nAH$pM$om*hlKeVP?*8WpznnG`p9QwmQZKb*wC!J#XU zB&VCpdBpWuqu@-ksf>vgc>v z!>)J=H{aDoS-oG7I|?FI7;$WcP+z}S0Ao0cfMZeNR5=tiS?2E-kd6Xay*m`RK6!WU zWX!Ejssd@sGunv}sYn}0W3IxlcnR*YS(GkO{% zb(wFPgv`pv5OPK>Z{*@BH_bS~;a$wNHwv647xO3p11ukR)Hm`?v*`dG3fDw6yFV7Y z-L&l95HL-pnzeshZjQ`}a3|+9h4PB;sYyLNm=ob{nbQP16mX{?4e5*d{B9h0(yh3kbDb^L&60>&?^PLEFN zIdSHI#~bGvr9g~cMN_DLX`Cc*;?RjXERDY;TkG{7bxuS%Vtngm^7-@Y&sFhacdtLS z3ebwar&KYWv{V9;@RKn7=}Bb+Ku-*=Z!byt%f8&vr2PT8V&LedP7+(BljrN#pK5&W zI}uX4_*}c#g1DRM!aXVpQozngS~|^3Y9HD}p9l0+6!F*Vrh5Ie8W~9Er*FMb3g0yw zm`8wZ`GNim0oCgSDV0MC8r({|u|Fv+U|Y8Zvwj6j+}CtBW;5zbEl)K1C-T67nV0#f1fSi>L8zSu>#Ys+IU zV@XK@Dw}E+c;i@Nw!i)iyThDc)Z1$W?eWzVHBgmz^yU}o23Juq8%8H*LgxX*W$Ok4j zAlvLf8(-d?7-hQ}wp*t==j*GC2YU~D&snb&B?4b)(^ezNMTo?3(%LJw;LhWHuV9K? zXS;H~m_yZW-1E3Bm{eU+s5TwT&6$BR>d7j4DrkYS=|GJyK=TPsz}8`tk5Y2%G$Wfb zg~uWz_h7f)Q>nePcF2On&A3WBfu7?QWhc~tMX|X6uM{M#R7LFX{ASA)P0r1TC=1svXG6L|#~^SZbKGvrHLbz*#s1bhHhanh z2wU8|0eFtKFS5Y}=+lej3L8kT$+uR%M^ZY*J5p~Q#srn!Pi07)P;SIYKc7VBWGgsq zAIRoNi&Y#oL%#c_pIUOh5=Fi^I*gX8(^ul)=y`HgPI=(^wxho3$T%+T8bDce-jN<7 zm0}IyM8+wM(TIzQP|RQc;(hRV9rYnzIq;S^LB_$MUlSbe%H2@3#fUlPC0?cjVHl@D zz35H=a*|tIjApqR+6&vT1ccnm9T{cwW5l`{vBbPI3Vh`}gNf*ta7EyO$TZY}=o58fEa8Mq-|uEB5HlP&`B zQH#gKap>F`RG~_pD9AqM4lz?sD1|Cz%I&NQnzuUuPR>#rfP)O}NZa0L(L#Oa0OY>) zGzZM&o{^mP@E(oC`pL2G?MLbMkaxo+z;w5);Ci76EvevEwl+z25SJ_yntYWWz<=MtLBC(ad@3L z5~p1(*0vi*DKS$AF8HbIP6eSY2Q^U1BkR{+>vP|kPWR#iFx}Eiuuvx~C39-`46f^a z3F~Si>qLK1dR)B+5w%ei^ABE_p-4`eGzx;H+baDlw3r_ zMDjHh$6~`U_FPQpT@@36GG@~i7dVp8G{4a*qo8?OX$=*nZWdQ9!t_W=4>A%M-2(nWm1n2t+H-78s<(ggW(f9@Ke`Zr=Ay73jjjcw`q&D0uX3 zrpthVnx+P*9y^ad!Mr5lVHPjG^Y}X--+A=URB;9wmG2@l9bt2h1u|%hdvOXsZQGxuC zS&blO#dV-VnVcisvjCsC{GtP~Rlof7(jbzlE%EfW_==sZ7oX+3T?=Zo=R)#W9z5BB ztWKYor=nW^336tH$Fxl`IvX|nihUf+zw(`reyAAbc2nk6VP>`buPA2m)zg3*2z&!a z9@?vK6eWJ|2U?>RIDhJa!)Mz~(=}HmN#IZ0>|4G&`%Q}Lz*vp0Z4ZSNeyM4{ivs&% zYb#`HI93dF{8q*5pVhc*s!64M`F)hS2H%X$cdnKuHf&CN4(0ASX83nsrh5OUQ~3qY z88k!xhi^EXLh-6q!^%-`6v}J-+VtiKQs~#}Hw{OMzsTZ;f`miULUbE_0$;REgUg-> zUUsyjkV2SY2W0-0U)vmlvEJBV&m?^V*Jr{q^=oMCJ~q;f{sh$;Ck{mJOODv~m;6TJ znD#l35(fyyC@LC2d%Z=v5WaXq50lYoJ;rNeR}C2tumAA%=Z@2&bpeiq4BKXq;hyZ*?4-^01wL86p>uYF)B)Fo4-no+ zUECM`npAi?v-3;CsS7&B8#A#Sc_ceQ=ZU8@)dR3#EePq6H05NxiH6Lu^K0mA@R;7% zLOz8_)9JL4!#}91oHVc)FRn)PIt{w&wm<;DaZIzO93X}vN^bqV}OhEPn|K0uT&n=A#4CbwwIzXKhTq060aGfLR zV#da1?<*s9h_U0I;5vILxIWgeKW)mFgV}gZ<6d!lH(!(@o+)0$ps$kN>Wl7?TAxN8vR3IJUV9)R?rosc=EEIOH z9`3A+8yy&u!OL@zHX;ShJp;5?@ga#jc49nrqI+i!(DrbuCSth6C$*JbK(LERDHGvf zCGiBLO5SP2G;H^}awy+1=J8Q)8l=t2s$Cb%|;HkH7lxfy~c!Gm?@{IF%aG zX}*D3O1B?<|3V@2N*rLo=hZWvudTiH1O=3qWM7aLi93=D-`ykJa$O4j9H`O6k4OIX zm%=pzSpqIs00xmB#iFM_8K)fhQeqAB(5d^rI68^=D>GXaHwR_OUVi`eXRV@k-(TIKeGyoIHd>jtslp}$gR)a zzHmic`kuZ(4QM>J1p|%0*$oD=Ys4iW%1~mHwh6mjvL znEjzeYd645%Y7y->4hv85)GG8vR`u2IHk(P26Vl6Gi-&J?3 zpsbC#06GXkDHm71(5U0GJHo43;j1EiDI#KmIrt|tbhs3=$?Fn!n7-p3tE=b+K{cpm zLpYNL+3XHo@APy~ro|R?)6h9RRoht)-w^DjTCyHBxXU6GhtYpv<1j86h7Lv+)?h)J zYTG-3QAA=t@cr`RtO&q>+hYMID&VL9a=*9bFIm}bvm-?j4&_5nDl3Q;O465OlG zYsb@US$lM}!i%6Z`Pk8UX%Cy`xZa~p=I%i?kEG^TGy1A)kVgmPamCmBoF?-M42X4J zkJDMEgjru>nFLFz*{x-Q7h~GuX%E@#@YbqlpN!*GRTB{!+^^~rJE+s)u$xUb?^>4H zlMP|1A&fh;!{8~(io?)myQ0~RQ*iTG zMIC@C3+twM?obUH2FgFY%A0e*znTmG>93X#dou{8>FU!Of#T(<8gT=A+3BSsjs~!Z zlPCx+-=8J#_-%v(u=eUjgPN5kmLJX1&6qg$8elDoL(<#kv^}15NzYN_`>Md*Z?2&J zd^e0p2aA?Dw5!Zsy}J6OR!6AnBHe=DV+49jGqRlm_qrlQMOvN`>#3H}^fFM?J@9N% zUD--g5`D){qa?E?katO0o&ab7|HX4X3iT2n*AK}&Dc_3c#}n*;y@Ivy(j@V$UiLgLtX^kbP*9EN#KSX_J31`zy69xGZtvbt}5mEWGIXsP;%d2yq zk{J_eC&VouUh<6Li&7Vrou{9-Ok>i}pyyVroISx8A!GwIc0)nX%>jtSVPjKs60r>9$xd7g)kHWFSf>AiZ%^-|AGuocau z&bG{Pa)7Q-@agVNj9j6725y)p)_?qq`#@DQN0V4X29Rhn!ogR%mB;dEbSD)O&wYMA zbTdlL>}Fos-|pr0CSQ?zNrIbVO|DHZxS2V;o7v>u^rD+d#7XIv*qM(=`jyod;M0hP zL*oQ!>hzZOLAVu=`D=gIJsO{!8~qts)?52J>Eh!ty;bG?Gg$T#TtmWDEwT`WkmE5> z1#DMjoD7II)7;aJ3;L*>6dfmKAZnmS3)3;4VmTJvgNrXy0fy`-hfGDkFPjreV{bd; zIyQhxZ4?nSJ~`ws`C$(;-1zX=RGWtMbx-48TS^H7b}DJzIw2MN@BD&a`Fg?L1IjZ< z!5QJGIiA3X&EA6}EFs6st0eXVJDxOk_b6N@)Q0kiMFD^s_0}l9n9iYwW5Kq;1Kv5W z@D_)@h_jDAfPbm&Vu-axpO=*cS@#!-;RM1%MqL?v4CGO9x53NHsUg*`z2E^&Ja?M1 z!UHv(Ngq?(Uu@WIRZw=TVmJatiZ7oxG?sMircO)=;eS-Au-`SQu7I<#|1PeQsgBId z3PPL0ituo=0Ynnn1tG4sKl<~`&5@ycxvM(s-+U)!WWel9HouV9;^O_iuxAzqwr?O# zm~&bZ+FcDZ0gvc)erhTJX9}3EH)2W8d1qW#aS0mQ7w7M(+w$k~c_M5SzsBgAJy45q z7aGhz92pYLDg~yZ^S!MREha2+|Efyw65t!1yA+VlG=b2`Ve-Oi6Tk?Ql5vssiuLnu zf4ZX@f0yRd=-7}fzE&!cS1aD14AAWRLeh~TGP+%rUCmz>FFSAgnQXt|F6i4+=+?>AGOqClQ5$%I0~Tq|=5QdDXqNy-700WCPR-ShE6+2u#>!NXXk3|CSq zWF&Y%95$uh4y)#j5FgZq%Yh<@wx=E*`;JA~+6U4HJETZMdE)ewOf}pC*4KCWp?OBw z4v;)vkS-8}K}kn8KIwh5&p<71E=L(ob~L8CW+`_$C63X&AcPl1x33zieg4e8sAysA z3R;^VgX+O|;XEPkVEK{Bvh}!-x~DkH!66rcm4R$u1Zx!SzNB-mE&HeZfaLzj$sS01 z0=Q0)&=wKnWO}Uk7XVWUr#akuf&^8J;X0w_79!kpzV^VCHs&`5GVQ3Ld;ucJ+{l83$O^zDW>nfIx@S-TlJ=T+q&@0n6G)oJS9p|+##KESNi4Xa+D(#2 z_J*&KNRz67Z#QSWZmcIvF1o?H)l86|=mXdbEx0+W8?Q-@N%8?SW25U-5k5K}Fr%?< z9coj875iq>5P7ha;i(??Qrn0EqEhq>^ZZ} z(8K8otOo76WXC_-ZQ1d{N8eq^h*11_ebt+hLYgHR5?ahbqzpGUlcV7XDW#G$)gx0~ zkwn(9JQTQzt*&cg%mvb&vZ zje#aL;*i&90c~7D^Xtv&I5x$$tZ6@frVa2DnU@8bqYR_8DriENCA2VF7kDJxH9c7y zdr}?v5`j7p_qQr?$Jp<*z_fxLVcN67zNj97A%`j9Sn~66K4wD9D{XbpP+|=k?T(DsOYr zi0Y@@>4q0l2uW`lc-`d#?USy1qsqz6Dr17(t2JQu1&xm^s?JIm)oz>P>(7l{6)S|S z!PTZb0r#Y#{l6tUd#Wz2QlRIba)w=L_|ZvjH^fOEO919i!<5}LZ#TGqp(bHNj&8Ol zU9N&3#;5#aaU{JHj#a2P?Q|pdJsz9qZBQ-^RE73Hoz4)fx2KCEQ$=c{sx!`nH>bgJ zA_wCu7ga#8bMaW%RAd#>u+vP=yRNy>pVP)tb~(Vw3NS==!p8Q!p4Qw)U_F0ls`z#X zNB29p=;?G?HwPZf`b+J>qi+Q_LlAoNMdn}ChKw=4YF7N9E}`KL;@THlIkacX)gbtu z9Pc9;lRxsiHqQ`vmmcU)>&TLJ;`ml&LY^(l2|~w2e$FlEXsU2t5&83l`j1p#ek27$ z{QgM0TwOM+!dzS^{9MokrV`c;Z(|+Rlho9iEV6swJ$JvdN_&t?<)8mQtdxga@fPqN zR5G)~(|(Wl<#wusinuy9?fO8Auq|o!2pfc1ULfUR-=~R{@2axV<>~v=+a>PvcGa{t zZIGv??26wkuhn@e>go3VMw+Py19mY&e#758zQ_+uRpbfnM4dLt6}=ul}Cx=(CgQcDWH_ zwss{M=Xp7Fb#Ttja&rqNJm)>YYSDdZ1psE?Qln-d z3t0a7H5<=vD5}$*Pl+Du+0qWDiL)L~R7v{*k4^mCOcsRwh^ocoCOK7!Swu;<1gfst zNAT*`$f_m7hJo{IUcXGvj;cAs$W(Y_s(4a#D$96`l}D;I=~x@MiyB?BTG3EYH<8s` zm8%xp3fm@hg0o4ZI?;=xuiTd94E@7*lD6LEzBEV&GQ|pjh%nqzlLAn-=kj)r8G8S( z?a&HnyQ)c_qXL;1?rtU_2ta5b(Tw=G_(>lQ_0i$czY=*kSl1hltm;DTFp5Yd>$ zNAw-p>y(EfD%B9qSso_VhGdop7D0Z2g>N&|!p%l;flPtGahkYzgaI^cHZ%?Ks(GvX zBv-i1g(-BP#LFz<*bm7v3mi9W6{FPM8eOTSf2$~9h##8M_GS%(t8CRTKYZZ3Wg`e? z<}{3rpciBUI1ro)Fm)Pqq8+-0Eb$J?t|n>#!ZQ}8eH7FJ_0B!Z))m_KS@GRsnIppfu6q<6n%L?^ux<=%vXR#J&_!T8?&d6>hh)7IO|R1 zmcnrs7Id)6t<_QJv#@5-*OS8+5 z<(i5-UMlF)JJy3|Ee!&T&O<8c*dR||4xbD7wY^aDD`_$~&0zshYTva^l$BC*zdRSD z4Xw)0av92Ezg$BUCQanu@|q(*R=7CE^?8<Y#2vcNK9e@9B>rg$2W3dFHR)|GuM`ZX<|!bub6({UYO zl8&`Zu{b{43Iq{osC1elRm!c7q&(MpYFe-lwR<4F1KQN5GGhoutwsCuEzu}wfNBTK zs4OUn_zg_DFObJFO0lb^j;94`a|YH3#raMUKx6j5GbNi+6DAfM7cN zhiE_->Z^7Os9s zBcx3gZ`KHj_qm0fEQ{5{u*H~A72{w5=`<8kfgvigG^GbA!szrUQ5cE9cFla%Re1T# zp~Roz0>${Q(g&V)I^fr(H4|;oR5;*%1?Z$yCgVNeDM#Ap(ww zmP+;0R87${e7_VkS;$ZXT40<=L;Z1-s^L%ou0f`Ah~XBxf-H!w6B!=-Y`z-EFb*)_ z41<&yi#$?$MwOpcGZpe?tX)i~yqF)lt4qJ%HN_$gqdd?*>G-lvT}S&akM@+x9TyKf zPIT*iGeYRX5jmE03^9s`SoOBJt%{y8SGo3>iD5LG`CX3M_cM zsK}}S(jkw|I0G-PZ7 z-vTaeO@}>odB~&3GN!F4u&8A%Ba>ZFjG8f?_6p*s)qh4B zy55!WW#FK^hwhOB^DH=N;DyeH$L36-ar#nWIaVM7&+LcEFc33|ZMYP`pSS`?d?qz~ zMZMUp`JxscTy!+S=IsFJwx-2|0;Agn+7FCk+3lNNiex`WgQ-p{?kU4XN|6dccMBAh z8p7jy!UF(CPQrZ>?izBn-2xujU=$8g>7U>jmYd8d9%4p^h90FFB`m>?uQ-emc8{) ze(~XhaIBn4+5+&bijz&;)JAk7!GN|HzsGk4Iq*nx6OSEb-*=#}*^?y?)H1vglU5JR z>7%nVzYl2>%EU<90;$gVab*z0T8xN8=l7=gjD=07EFStdh0`3W9DO9F9Hj%@LEww+ z+vOLU-#ci=1+7m@5MpRE6#9w7K*yp}tsD^iC;`llrz7D?tu&pr0X>59Not0Y@dFGN z39Oi-vUfH;d|eBRVPYwz;U=jyRP7$krED%lG}+(zDnI6y0M7+@2LUUOy(u>eRvY#QUWk>nzxBR>` ze%aqIjw4{|E>|z^ISBd$PAUMXQyP8@zXkJE(~9REG%z^3Qys)S3Ve8PGR~KmqN)GS z7uh^%o7>S02Zu!o#6tUFw`w27M6ozDjfUc3y{{it)RgbAQ;+>X|LD)c`Sp|iFm&{t zgnmU60jm8#zsl$Eyj1~U_QR@br%#6iP?iglaTq@Zf^GgnGxLG|eN<6esiPi3ALw8G zp~(yi-8!`X%U>xjiqSh>MeA-#gef988Mo3qITzMVzTVUJdO}}V9NkO1Ra@ZH1(mM^ z{5sPYvP~(OS_;#99NO|g+aB$Aml|diXl6ew;nEq^YX{-U&>DkeMz%!(B7D)g>K)$~a3(W31w0*K875=5Kof`Ll%r-At z3=njgaKd4uc2{m_`B=~cq$q`2J&TdoU#eDsE{SaRGgYEQNenZi8o+M}2t(}cjt=E5 z>xIP=>5?sa^%;87ij{2IWlOt3ks> zKTZ8D4}fU!h*yChd?jkn=~NZg7=Np#TJyQ+rl4GB{Jm{s*x~21hya|kkwcRlvcLrDZ=e1;~|x$dKJ|Q zR}zl#owH1LcV5h=qB0+IM&QJ}IOk+sT&UQ-7cg%rm1+wM&6z%T7D-e$^|;`(gzc9ZI(ltt zbdd`U?S;;w7T!nFpDX4oU6t)o^``ml-EJs0yA`7fI5g`4^u+6s-;jFtjE161z1{6~ z1PLzifZa*+pZ32NL?QQtcVrOf%n3+G;y9iUt%G8RQ(X{5;QQOA&sWbonjqT|y zi;3St_1zgM!Ix?zNwL6WBE>wH2X;o|czkF4TunMe`qJ0vku|vgc4eWUZFYDAp$$p! zajDE5Rl@ocQd!SMaaf=!-oSA&5O9RfG6Ck^jHU*@LW~`mL~iC=z6qM+>O41CQ_i+8 z7n@Gx#Svn!jEsrSNV)=TT&w&-dkM`n$tSc9QIxsh_cnqWL!AxXt3pHtv8sW;pp*#2 zQy-xS(S*pO^NnHeJU`F2y5yt`049mY45`krNv;D^s8^C8#|N5KMkv=G)Nq-~WAQdrvg&xqnZHyXPy**|`;iwmfo zX>#?9|A)PCRW&4IL)vm~R~L8>DfG>II^aHdj zE+cWtB|Pu*6{4KN<>_r)?TIN9w;CTq-(sRUhjgz2F*LQgx{O~(Cw{d+Vv#`x?8lg7 z@Y`OScdQlT5If^q3kE|2e}1905g4CkU5)iIF>%id@u`bx>kmM7=aAX?T~ED5J-Wk_ zpdu2m89KSBIo@nHVAzV~+!)2DGw}h5cOxrcY;hQobR4kPGE=B`j4iRZPl74ItTVH5 z)EJEOj-h?$V?s&-UvFS8{5W75plf(<11k$YU`kuE1S-Yk0W^5Wpmd)k(x`n5Xa=Xa z@q&yNZYFSU-ob(zwO4*7>CA3b;-;RP7^ z)G2NF!ZBqW?3;-{Z$1>u#bpqjPl8jpYR48obih0=pnOaBt$@rAlgiu~XM>`Ffo2k^ ztsgVb;@1^2IGO`Z%m!R1fI>g8v3j=?H64*D5F{BN)5!WiHJvA%HUMwnkVzshD~MoP z7y814HD6oqP|7u!)7e)G7n^lX3UWRgC>sErF;M`VhryqSd;0meq2#)*cYuQl;!8?0F35-g8CP+#k6_H~ZYBW-cgyr#-z=~x+HO!j;GDZk`o*_D?Z@h1h@JBPd)&LtRi>fAXD2s)#*yZnG^ zSvBB7q(kUe+I|p*hJJX?X^Wy+gNKP7&3>A(0GyPB<3zRO}J@KCGyl4*Ym>Y~VX|q!m%pHgyDd0{1Ho>F`YbSA6ar z`i0ElH6rNl6=JrB40C?+z?8_3q}0{gAxE<+W%DyQ4|lIB626N#dx# z)IT7KEog^5reGSRq_+pCpBaId;A5Cn)wp=nr5MsOVaT6UW;eNKO%2cLTEPCSF##y#U-S z(t+4tBU(^21r6-JXi^SF5J#6Ul1U6>>i}Jx_OM-ZMj1NHSkM~XTd+&9@>;Ut=Q&pHVRgKPb%0JD1guGRjV3H0v^^ny9O;TKk) zIac>z3P;*O`vE=kxLAzQ*A8O%CbZ&pY10CVzix;1)VA`*o*ln?N&1Ecvk>^-D(l$x zG?^X$B}hV5v14c=`q#?)>hy+&3VI$o%FNS3%2z{f>G z^9r@`jI?2}OiGPb&OprDYCsF>u5cdg+r(v@%Uf!{roLM<`-f}P zLvFB76;x1HNUihw^&jc;LE83$C&OHQUmQUZt6{YTX?g756U@V$D=4LsQIT((v1$UY zTx|xMO%_D~J=#i!USjp-t}S$LqOtsn1B<7AX;iN$R&+qwz2x>-4JCH!Ncy^Y{i&z3 zyEH1|S$w~P>ltao|J&bC&b3F(`Hr71@rFA4lmFN>!^-$h|9LDwlm4szvY7LNz0>m=cjq7; zX`sEqu?z3e1L@00nsNEQW0;wmF9*oRAp0BsGNc@TE^}b^UIqj(?wlSmOXreuAYWBh z7ofJ1%G{N$aJuU9IQON*rO-NufZE;;q-&R3nwmFdzwGfLzy|5J205yt6dKtz)y;k? zl~lyr+>lAL=n4A#B(K2B2`*mng^<QxAMzbQtlammkxst9hM7-~o1gppa!Sf%y> z&H*%x?FE`T&4_&^OuD*|m;Jz%#q&SyiidL3T=lXP_k@S4n(K{FLfp^Oj$Gn0u5YgU znKn#a#^8tQ3JDjOfi%L2>I`62z$bdlBFEoJzzQl8B>WNFi zGZZ=zbFR1OYutg-X0a=Kdo@tUx3sU$i>gXmAt*{d7LIMQFQpIic2&+Kx5Z~1vD96M z3mD4|Ae3F@yQdufUbb*1|3F&;5SXa9E@&|z5A=E&YEXu@jProc;D5)sVo%MXAz7!E zrw1HqNYx*3AyqoFf^d&H4NQ%?|2Wh%E>z2AKnTUGur)jz>Vn_eduVVd&U1J*KT%nf z5%4{jrNbT|zsxWpw%Co`-gWCl9_)_w+Mz7muneQtnG0MUE&dZYkguTBU-d;}ym`4#6 zRN7ecPcqHZh^3rVBljSubQtjbdl#>BE3B&xyliP|P)31}-CFx2VtWlcDjrFhm!G{m}uG)Fd z*YM{Av90h5v|Q${(D&(0%U((L_$NCi7aI#92HmB425Pz;_Ir6u%58Dpe%Q2+&IVC6 za^1xK9;q8?cS@lIq)kgwip=TCCsD~Ihzd`WJyT4#j7E3nh)O&)aptNaMH?7(cud;Z z&``pHDqJ%?G<({$=))m5S*V$DFX5~p7JSstP#dK z>i%9AHM&$u8S$+$Zr1XCF&d-eOp9!_nzdJm@K$r7eBG?O!3E&55 z@SE?2+H4Xti(*RWo;VAkxJkstEIHJ@oVGu!q}E&(SRKMz9~Ycg9NH zrl^AZebH>lim*3lxDs==>r!W<6|@^;bpvswU9@cykm+);!0R5~v1D#ztKv1@7C2Zp zc=X)bG?quJ{)LLo9vNd0lz+tg)Q&xCoStl|Zp#3t^`<#H034e>+|vG;ugC-dREZ3;O+7wcRe$?n}W zw}j7mOw@?jGQd7zW?Qi4;?F3 zj{IYvXyYvl?D{G+k(DmgT79IbNd@qk!Um%WuS)P+FiDTx3jxnI>a>abw?au|N zfS|30D0t$|}qEtN+20`0aIQ>Pep z0lnA+>*;~MfK3n9SYgHi8&-*E^QRMl^kMh!hEtzg5wN<|i;3qu3o20hWH+?Oq99e0 zY`YC?bN2W<>Xx^3x<8i(o4%?^uPPCIJIVuV#av$Czy)UCm&kA=%O@XT-2i>LDvK4) zDn#S3%Us83`qsbyi}$_4r{)E`yp==WJ&-&a72NN) z_zgk|_gzkg)8=ss8zhySS=0H?p=9!%wE;$7>8O9mW?SRJ z)J+i?(l(${${5)riXAGM2B5VLb@SQbA8oPe4sdZ#BH?=|bn-ZW&s;%g%7%|M?P{R^ zT@^VKG)6H3o|v{sm6OghN|g1}07ye;_Q$Fk3V61?qjYL99CCA@lq;XQ=_6+ab*lxr zoGl>W_v*5u-H{GS^^e3JM2y&u-KCNoRJuRU_Ea93{ZDVmbT%2Ts*BtC}J>wH}{_5(jhJkq8Lmp91~agJonA@xAa zZ_jul0lcf@DP=mQNY+XvQ#9_d{6d|zdV zrLSF`BjSe>*ln2Pewf6xkEcdTPp6bop)->{9VMqR(3UuTq7iueGuCLvJtCLfBsW6r zerBW#RXTZP7V>x!hY$|eNER8%e6w_)N>9?vQ^`|F9y{WEj%k!|4PYh}jvuE~QHg$1 zNfRTfNS_TKU^mhr2vnv_GNlXouAZiWjJOy3QRJx5F`1?= z={%jzlK?VR8z+d8lv)`WNqwDE#=GgrqU)W|jZ&&^Xe10B<=+}A%C5G4{fU<73-w(X z0=&XV9O=YTQ95tRnyTst37QleDPx^7RWF4{@Rzt$FBL;1$;=*(W&GA_c#2<04f0TY zYNSqqInrad*nHtPKQpprMj^aCgun(7c8u5u{+5wC7-w^;=2OcUXK@yQWK9zO&%c`K z9ZKU6+%;40@C*kk+9UYd6+fn9fBa1QVX?Vti(NiZBFqnMKQ+Z3Ma1E*RPTLKJ%eSL zq@GSsrg}m;F~70!s|EY?&_OrSKfbSkSSz;g>5K4vLMNY|#K~8y90(OoAaMJ<%F*D{sQ-L*_Q0%j~MG*Smx z+YMkXfo=lZ;?C4|&F+U!-AoXTU{BH*m+(zd-cr=)W=Uc`Q&o5S;;M0Z_`yfaSFj_H#$bAd9+SFk}V=Bxwi-$Fa}+=XB5`%)2Wt9IFOuFUIZh z5y;)*8eCY>eWU|ycntto1*qde10LWy27f_D3JeiqEeK@PldhBs4#r)+QXjCW#HohQ zw9si3cGIVs^W#vg;JU@t@bL+vhsM8s3<2N0D)Mlkx@||_c19SaI`|0NI2DKy-4s$; zAQt(gzMO_tMZ=G$jXfyg*e7jDP!%ioLoz-((h%+FT+Lha)0tbV`uN}b8VETbv5a9P zNbChojiIQVGeCR*w+lBf!BxY6C#2&lYDYx+Re)KRa9}9VPG5Y^J3Ig5BiuR=x5;qY zlrspOEOSVIDG_u=vu}9Ls{y_P?ZzPsbT{IxF{CZc40$v@RG>Rmg!Ej*`fNkx#I+ku zA`db1J&gh|Spdsl7p%#*j(V}Axs7R>a-?;Mi%bQ+uxKH01-a2 zHcJjQrz#A6zPJ7uM;g4dd&S@G?6iB5lCi&xZNs%MLJ3^v4#h+}a80 zz!isd9x-xTd#&ASUw__|0GrI~*MCqrief$jlArO`iMxpz1$+cIQI1SxZa$Zbh*1Ps zk*JsRv4pA-6p$%zpf5mKuJ6vs>F1J@j3p%1kjfyDMcvS3Tz1RYzjPXmJrL>Z*(;$D3-uth%by$I;oR?z`Cuk` zEW!9YioY>I5}$hlfpIj9E$z@iJLm2%aXU11sz1`P!s;Bo?r)D_60q33LtNMmvBnE9 zL`SoE%@-ZUj7e@(JA`}=Pengp7ckW>a`b^MqC?#^=}fG2Hm^vaxZIO#R{UDBQR(zX zrD-vKN5*On=i=L)U8xQ*6g=(#GT+A*#qLZrPw0eKBjPlR`t|SA5qm?r*~N(y&3iaD zcalX3uJw2RB|1&$K$cs<>F)4Y&`GcnHU>wI8|HM^m(dnqD+y!fuu^-Y{XomHssL|~bwsQ7(K&Qyn^8&pPh`) zENlgOA$UP_Omev{rJ#Yf?ef?F=MVAJq?&!Qfp8doLSz_Xgir8#_}-p=hdV(t>XUd1 zmBO;IEb;C?uqW`Lu^$d~0RRJum2WneM_fw510U$s?x%@KV zN2AlaQ&skl%w&W@vQJnlJ)d-{=gv+2G(a`a54yj0m*YH2%c|FM88#JoX}W!R84jgg z=hS_mR&?sM{gAKMCGM?(Mni(zi_ySy-fGoJuHbo!q&M3rGh-|hlXQf7HK$*T7ZR!h zm;+_{VI3TbEzr5BOhh8)js4uQpRyF{a17ISf$54InF` z8)}|2-`h$Px@rQ?6b9|$LJs-MfEbZ3Ka?`xxsZaE6yrux)<60qxxOHc^i!C9u>rv- z8(5DGJc0J}uF2cuDsRWGVQu|W5WOLpD-FSX*)LFY`+>HrH!3X4(@VctVSkjnD*yop z9F&eM{#l)S`0wtjaYvK7$J{A?`lYJ#&FR?Ra5|;_rs=WD7cF3^AxjNF>3%@C??RY2 z3fs^US6U%v; z8fxOa0Dhs60=D^zmY2Ls%w_NKwnEl5PYVy*(am1qYkZNlLOe5|a@L1@e@9xzbBs*T zD`7kb`1MBhDPIGW2l(sOH>a(%-k5AOTVPjzf)Uz)&u~{%93qWiCR(O-d3zahse$hB zeMviKPkpw>L*bovq_S4<^s{R&%T~m5dHa$w(Yn4+dvCTxOHH_|N!z*I)%?034|{N^ zXzYe1-mam@a>F~aqEQwoiWtYSg(`JN8Wvdg$@87QIb52#sBjd8%Q-mvfpcaiW{rn< zpqt=9inoJAfn!4Z5R5<(7QE5M_0Uf>3V8$~?^cccQAqL3vjCSL2Bxt!k2O#AD7f~U0 z3%S`S79U=Rgx=7;b)?zCYA6SL+WD~)bO2CiU?&(q zn8O8d1=6tszzv2wiTwgp7al;q+5l_J2@K4S4s(`wbTq*mw#HBHv>(_3Cu=$Q#I(P(DLyN3LO9q^VeuzeiR_unQ9w*?00$#ZEj<>F#m(p0jdHwC zw2vQ8WR0=v4&+rn2XS-S-|Z{Drk6o3>HI1yxQ7_Z*J3b!uxS|@=^RsL(Q z3D(CmyktrB!(IKO{!4|Zj(@8_)JKO=@;Ai_j)2U^%2GDgQ+`0W4)x=?G!R2v9SSd= z)}FOv)Ox|uBCSXqLMEp=-138{$nmXeSYZw49HCe!x4Bro?@17I$hLzASX z|CQ>YBs3}za?+TrX1KhUi2ebZ8EU{z7wUy)k{ZX96m=ydcLTgDPCKqw8Z{T%LnPiYshyJ1wAXhM{f zbq1doGsEeY?TVMWK(tY0R8xLuR;G-)t1CJH-vQ2zPHpMklt)5bEPOQ*;w;aCf$fFO zeRN+mBGS1RQaX_>(gpesDQQtFnHd)ztI_oW@wSht7mjcwJ%H=3c*eE3dUyAXP7cIN z-?O^s0x&{IPe*etRi667R|6Q!j}JzAUxt!3$&kA;c;;P>Rrf8#qJmt?kqibLsMC_Ipj(r};{Gion z72FS}{CH}HN)Kde3?!5OaaTtc^uD}?M>J`Oo2R1H8K{4QF<-=we5ghQlE0^%3piKJ zIS1CnxWtTLd+n$yQ5l|^-zOZnYTd>L3|6e?Yhd-5EnEPZ29jD_k0Rwh7U|^{gc213 z9@k+-2Vt9U4!Rl{S0hr>GLl^(l$G9&I~d<&=&|GU!nj8DD7zfzR*v|~x*Th*o2NWx z`Nh=%;Tp#w!Ogts%XU8K<9gGBPP0i(COSTIu8DHFlPyI?mgZ|9J5*{>)0$sw%TSFYK=)^Q-RV+ut}ZRPqM&3c+a#9 zaT3i>4Ow!as_rLD^FTD;WskdFY68C}W={dS-+n4YNFrS%H)X5>{lC1uORpr$mL`85vUJ}nR z*<+gElFDPVhLpDP%ZE!Na-lJYc8{231Y*wv1? zhK2E~e!a#Pq0sp~y{f7`N4+#q3$rjw=MeSdTs9A#nw%+jM+svKmCiEnZW4s)9K1e# zMdk-^{c!LB)zJgC3~H2RZfZGy``x=SID-(S27+nc6wptgo6`fJ;0;SlM~mqV#+Dl| z@ckk7!NSs9qYi9f%;gAq2wXbl;-UN_38m#|u_Bm6Q29;VQoz=_!V8|IhxGB2Iro_3Z)1S?WbK#!pd|Lj7I(_Q@k?UkXVWcaGk0d-YH0;EGq0g8QB29B)Ygug+ z5QJ4u_c$yW*C`l;m$Mjcskm z|_BmBfq`y`MN2DUy+x_lF>eh-d?;z!*{ZV zFohIE6vpaLsGaDQ4m1KZI)Z(`q6#vV5Neg-%_68<%N?5%PoSi!obBeW`iu)xOaJ44_W1aI=1v9z%TzoFqhtf74?)uLP241YE@8pC( zp0y)0V;DREF+Anv(3aurceYp+5<{xghrsK5RLw}~iNlbg%z;q+(ioCa< zh}U%~D~2L$7>+?Sdv&k=ow&6mDnut?J4{9xfe&;fk$g~vWcpC7U{J9FGNz~Sm5?DV z!7ORKH90d6VQh#bwyMv9YL%C5P6zCs8HD%w5B3jzQ_wR&w?a&G_dz!+STtuIToO17 zC=#-$s08AXjT(PdBUJ9_B3C}Ov}NR?O+io{F~ikIb;yX4;z?vZee>?!d!6P<2_c8RWaHOi*`6Gx0hn)>Q2nK%`6CcptS^_i$w%z4BkW{HV^z20<)ynvvr_g4Bl;ycV! zYuUA!5Lid>GCu7r329`Ry%Y*!?67-KZp2UZnz<6xnvKErPaDhUjvdn*TFKOt{bbWw zMum?YBzZrg{4q(cKPfLBJ&4i>aw((9?z^4O0;;lEAk!I z{#9R9_uB2L)FB|BpxypQ*MEd|bj$LttDCa6JfC6S=|p>MDPdFQ?e@cgFl^_Ke)7nW zr3GPZmEsk!L+35RJq8jCVrz6`oeleb!##Imxcf1RAG6zrx0svd+Lla?R>Zc4)Fc%B zDTBPGPoz%_?=v^>t5o5eW9nw}G1Xl-^KPCft=3<>gUZ*en8{wWK)TkekfL?~zGN@* zvf>8sOzzT9?+AueJQs8qy4VGy`>9qly`JM*$3kKi)#K0+$1g%WwpS2u>Qmh_7j<@3(zB!72>eaeE4 zu)0EJIG;<#Ek-;;gc%WFUylMOOs%5p>2t*6MQr35j1$j)^mywXh8A-p9&?5eCK2;V zVGtiv`7OdyFZyU+ZEFERPY8E`W%-eDkl4Q!N;h;~E^Ra(1ik~iD?L2|Hq1V*iCB!9 z#X!g&$taXu^<=JHu8KWF;-psg*o!Tlc(dSQnD7uaeoXL7W@$vxl{gMFmtOWLF_odk ziFzekb@#bav5-6}A-TvB;KpNpmFKa$gZVn0oQ2TUp$2;boywkVPUHbi&$32gJM4kP(|BS|lkIDG0d-j~BJ3=|h zt9s|O8)zNctIJoVBhM@y`Sa5Li={JFI*82Dp*t%bILGs9R+_POMYAsRig_M|LT1(< zyJr2T?m2ml1Qsijh$FKRacnjsMTyraq>4hCm=rR9){X2n3cvmr-o5Ke9tJvlSbL&y zX`G(?l3&$#Zl)F;xtmHaVd}OETEzlxGBaX{k_?LSO29`el@Bh^E^(5_eFB?Y6bc+_ z6MRLfGDIE2)^nZj&dDq$kt^h&HU1ap`b7|&7A4ZVP?_3y zQAJuUyU`R}_{Lwg59J*y+1+yY-c;^5BgN>|3e_d*-DW3muF;*<$b$p3V8%4{o2qD6 zjpTdvv~%{Ac|2i;GxO{V-CMk*JP;Pt7X72eBYKUTj1Ruj3hZ<_Uf2g(fqy;O0=cE6 zPK=eUPJ_5;7X#1tO>vYr0I{~ zVN5E2lrhSy6*uJjgMatcP~(c3l$U+=Judjrd@&n-Wz$1_D6OvdFE!yM7`6QB4j}LY zOC)1Gv7iFBOux3Q8N^4>S+$nPfxN2frh-ssdp#|tg^`=*zUWLZXt$vSndSIF$%KHL zb5t!S!eT=jmJN(~K-I`bIY7~A@jm9|hC5F2LQ&n&o7a>J$Q`OnP9~1Hq>Q2iuJqlo zye-?wQ-hkP1;dQ+9O%#N*i^xiC7H7-nb}#k(y^dVY!4neESJ5&b#z#9FuZoNrUqPv zp=cJl*^)u|&^vFsC?jZrSa>8*#F&)?GAK6f$hbwhfB6^h-c7pF_{m;sP2(s1i#mu{ zH}z$sG^%}m>GpL4rapSU{UMGYobkAmhDT<9NWBLKW;-D?!2-K}=58DdF7^;y9wyed z>^}3DC4IzTeu#qy4ccf>iyl43zq%5p+@H8m6Hlxmy6X#6>5Fr$c?JTyDGK{&;I1et z0r&BQV3IsAt!igWpspemMhikpjhi>dXJh;ahi0YVk9y%Frrd`td~gK9ao#xprpq-J z>UBdMBM@qt`{1Zkt{sgWF_U;2k2dR++KQBa(@#vqLs@NdCy_2i!GmmDTsC~rPSDaQ zdLTT3N}`}zlrG8q1BeBkB=v>Kq(_S#tMj1A=cZUOeqDdd=~hhlB^}6a8_<|-fl+TQ z&(TPJ8wMPUxtsL^}1#w-YRTCu><5P)Nisra8q zGjhInQ(-!<5E9w9tO?U^tjJ44U&jYnp;UxbW#XnQ&fc8&3=OL7Ro=jO&QTpWYW6pK zb6v9O!opCX4O6Eu1!d$Ci450yEk1B+ExP6YG(IMY&f&&`km6jn^`;Py&C8d6MEBjE z1`A}csW<()Bizz?-{ft2gQQ^ zpw|AE@7}E{0zBkIC8|$ltw#^j_>ecmw(DR-mkonjZN_Ed>mmP)UH&Suve@zJrgs$n z0+z1NS8GA&(~#%nL;5kq;;4vl>_2*#XqphdhaW=-41MGeIYs4T2*DJRkjalh`e2!D zniKuxv_e#U8);@AgJ>d|esn47s&@Aywhe31vqjrXnxCd0{f}HaRnLV|6i(fO6}>IW z?!hv-wCtoJtXj7q`)MK^eRP8diQ>X4i1xYYN%IaGKeAy{-HP5PgQwwxWsKa6 z*)u-f^lsLw8A0chr6g)ap9A!rFwIw$HtLW=VDitzNo)80Q>mhN97bN-oK5K5p|@1A zPpUYnvehWch5w_6)k*&lO5cTq{KRE#q@ucy5jLuy5&Wb`rXT(6L1ng*zPiJg_@f^U zpVN;)%mFQD%`nPqVk39tTlUfSXDv!Oz?NpftP`{P=cGPqj*%W^a`+a1#2#UpY@Bmq z=tbnun=>Q!X)NTDDb{=>Zn;3(ru%@Dd>h<5l( z1xKk#{)7b-c$TSO#iFiphE95-E6)-P%yY>-hT%R~nW6CABc^q%hymgagk(;x4( zVyWO}k5C$8&(v-`Q6$sgo^~7FA^E@mbMM}rY9>iiI-oOrk=z-Q-ox3HO|kAI$kw^2 zJ5zo%H*}Rk13Jnxvp_c31bFaB44Vgw!Hi-|5r7A87Wrn_DxU0%nDKJOFPL4#o?C{( zs6e;iG0iNxr#f5aT)Ya}_MUU26L3YP#Ynn4M%tPYFp5C@7zS3BIDu1ql8hx)G35y> z={(6>mA1BzOfg%};$H>|L2PBI6FPDyMX&uebhfg+>CY2K#FpWl!e8Q%Q1Tc>R+c%$ z=E~0u%iZQ|!K^t-|KSN=kxQ-$xq~hk=3Sf!fM|xp40L@4rMM2w`Vv}P?hsB*vLe*q zLW{{UU#YpYR9j{-Fk=q`i~gmF!<&|}I69Ic^Rg#O#&t1Hv)C6!fTke`_zv`I$&Dqs z!#ZZ{VvYvJ{;vAjy%{3BG+>0l`^LsjpyMn zBc%|O7{Ezn$8+8Apq8kgd+{~P8@b_Xc=BKl-8}wfpyiSlBU7BNDObFTez{+xMXv=p zrB#~J*(G*V_KibI*kDC8;$hIw~Y6I;1*4W&(wdH0t!}cBqvXFOQ&Q}QdA++o-+`_undumS3ET0^2TW1ks<`=eRn&~G%g0yN z8+m94fr7A6lrp+HoVy&OTbF;=d^z9OSSmNRi;m+}NwfBqSG_D^1LV~%hmJFQOF!|j zK&Y3(S6)gy{Zb6Aq&45bS1ev`nCchOB^B_(pt2e=^^KWnG(*+vwqi0&J?x$;tCUqT zJzu3TBv$sX?TdYCdj~v7>@c#M^O5&}N*#(a&!&HvfyWrfFA-=b0(rNt?Kq76HZEle#q^u0c+ySJZ5%+=V03byv00k z%}6Xzjm1AH$tF-}eNDFIJ}6i_`N;}}aCE1+(0Ly~Z)!3%#yBByk95P49SKy+Y$QHo z2Yq+BuPIj;E0WscyR`*^2BNZGN__>YOIck!a9^`1ow)BiI|hU{)Fz2@UejcJ%GdR( zwPIZvw-9mPoiT1P)Ep0vvg%-@2A!4p#&~S%o<667e<-`fbD_^ltVAkH21yd;dGjh@ zS18UUqclarJ{Vx(efC)?$tLdoK1e10tpKFM*oze4pM}T`sNVIvpf{@oD|AC^->jkh;8JshS)Fp+P1C;>2%)TP~bw(_DH zbUY;l%v;?a>hl)+r*6PFFu}am-?M!^E~-j@td~dlFV$;#GS8FX4%ZeHBzh51!;((3 zCNYP7NnR#=a(`Y%H=^YYyi>9jO!I!eoJ@?-r;{ggjvjcH7wQ^sI~2~vARMO3RG~N2 z<-gb=nT@GCjYGJc?o(Bf=ZarF?O z4aqd~PMa&;*G|^oA5w)Gi}$_#gcg}PTDabBEy~+f@L*IjJlNi4jiD@0&t<3m&-I)d znwCvM?->I(UlTHBNKu4$#fj+l;91myhqRMEOmgnnj z%bQ$p7}szVLN}VN*HecgeKm%Pj@(uiqs)1Q!5o=33c32no7TGU1&(R!p)C)R+2yG} zP0Sm~j!ln;way=R8s4znUqv}r%cIRp*P^ggj!Z>dcS7y1R9RuGN)l5By6&$85{ z;$bc|ZF*a>R}_uGd>BC=2GWB}xq&HDg-+(pWHox4jZXbzzVQ`pJ3S%T_c$=M35 zjXek)=eY$-iJsX)SZjzIL1bxlkc>7 zOLU%9zhSm5=!HeQ7m%yjTMY~l^hrEy3E_F*6ooQ=TkW;pUDeNo%{>?N?bN}1oMzL{ z8n7&ySM*fxo^reRbgsv!miQ}gpdOQI#Ee7pHnjpBEbyCfqbBb7{%y@fCfkr@>R`6*s~n?IDiE>2on>3{oTFW? z<*xs)S80A+iF$O*tNzd{T)G9tw!GvjQQl9iYfABp&M||$(YGT{05txLx2%v+GxTGj z|BKEVBjuNAgqe5{8?mhqmeh7*t5$udi!2+09R=kz{<+*L42@A}UCDya)BBQX$^I3i zgXm2rlTeG@&(W++K25-(N%w}MKbJpS6Vh+qz1x;e+e!W{N1-ap)!#`DNtt4X09`<$ zzZK-nfkTL{P~sNSG6lJ*Jtw6$s_&ErsG{G)RHcNd~0xLArQAe-c;P6Bv((oWdkP ze*74F@2!917y4j966Hem!}?997<|XRQmCLWthJI=WZiFw5hat`8jo5OQrRAOS#-E7`{+&cqPRkE?-YyetlD(YTFOvsZ8w9y)()nCAPRDthY8M z1`j{&!_FB#CfL2V{`hrU<(9 zD%WR>`?Eag)W0UK)UWLbbHrE4OL=JOI>)QM&(CK%+O)(o_bgxDj`;tOF5)~}Qv@>g ztlQ^;yvx`ybwuoaj3Q>Un#xt@qwV>UQt8*cB*MekDea2hve&wYMYPVL1)|1~&Pqnf z^||tFF9_+R^=q4LPGb5nu4vJ*Hfbht=5Cw0nzd6hSuiQ--##!xkJxc0G3mAEu7sFyB65h^cKWuXr31T4LHhDN^^{?#g#`Q2 z|NpBEd*W5?G*p4lNPs&nkY~Og3x*2X%o2lU+jRY*g!mslpFsg02Nk=IQ95$uyPv9u zQ1TCJFp>Ok?Nv>b1lFB0G~izG)x12p_bvLK+k3{<@2 ztE&vcw+b~_lAE!9-YiBYqjl-kta$nDQ8L1d;;7moGlbd$1_DHPwG2QIGb})))idb% z!Ae9bR?m)Cp3__zI7r-RN&wpXwNfQdKX!G;R5{G4F1tKF^J&4M@Kd__n`G{ee%D;N zWTPaC@ejJBCWDu$k??i5<4~mlP+*&vJ@K780^q?o<%dEdD9^BpIeA@=?)%=zw)myh zf_=#C3zI9d)d5}a&0?XTQG}Y9pQxwPuqzEl(%4wy8TpkOVW1WqafZ>OpCKLYy^%{V zH4{TFUhm`;)*8hmj1&`r8->Tlu4b)es#t}+t_35YJ3ZeBUTdnXPHkVn*lYJS!MnKD z5R=a+sj7@ZR7s%?buX{BmU77HQDobrL;P3kq@Vrwus5;usD)fz%t|IHI?3M<2vX*_ z92Z*NfZ4k$-;8tPs8=JG{_;}%Yn;aPA^0qXO6C=lCCQ!S8q?$hUEoRlK}lKQew}F7 zci5Y^4gV-6{=3j}1uC7}C{Gs$@xt|iA9NXNsP;gvEuK7&IH~jB1&$%2pz$CEkD-fGCYMUEFuBLmn+{=!*T^H)_pv zb~#-Vj_WmV7@=?k&>&DaapYP}7Wm>=D?rJ9(|}sVKxc;MMtCokj3O=FW*0eF~kc@A~19&P3N@AZH&dXvz~ZITy7LftLq$!<5}gxw8g<( z6PQkEiX67mcQ&l?IaY)Og{wTi-`i*`lQ|yPeJbs$F8hN`&#Izp?FXwVKJg6c%r!^> z!4r?Os%O<=98WD26q@5uF-Bd(tSg<@mENhV6Ra9aRy*{wsgHftx3k)YXRypl<#o5C zv1`=j#k0yXcdShOMA)tVSn%|uUSW-{Pde7FDNl^d<9s3-=xJ8%6uC$H|AmU(mns%C zT2w498;Ki?9CG|b;PcbGiK@S zd0u0L6lNK3);qd>ZtNx^9^v27h%jus|$zs3QJl~?K;DfYjuvjoQ5yA{qJCT zXp3r#-;}G{kjdU5Y(Y)@YOGpq-#YJY4yvsmt1$di*>(y`XL!eaZ2uk+rs$(5xg?zT z)<6@|=J-(@rm#Gc=rQ%)gM|sVu)urF!uO7!gwV7+C(a&Y|Gm{8sNbL>s5Ge`qNC|! z5WSZeqnH@{kE#FO2}7T_n4b6O2k$MFK7}P*&xZ;YJ!VoOjgypz2SM`Q31TcnF|iS{ z_tq}o<^5;J0}Tj4_!z_>>1ISfO3)-P@*;c*9@7ZKRT66HND}zif&51g1pP=(PEb)2 zMBHZ|)8xIi>Z={G>d}}uig{Qeoy49E1K;O?je;A;XV)KyLn!@3aGcPN$dv<_42Aqe zV3Y#9coshiKS-t0giO@PPiVQPaFe|EmIR6t6N4eh3~gZWqf4+vmuE9%Ha6-|+7u-* zRsY8@esBH$H~JDyWyhRw+4hniM@?^=qLZ5#?q(!i7OKLtaBdw2mk+Z71H_=bd&Rb%LGC*%0x!sX0D?u{Uq{;nLVbi9pAne7rECV!(kYNG~UMSu^G|ZkEJ-3 z^7?EUnRwEZEQ*7S;ngn{v~^77ZFz;$9zgcd+#whYrB!`Hu<8&zn`ALG=gaSEZzZ02 zVajo%P}qvJXs~F*s%o76yvg+ne&*>p7{1A`%!|tR8Vy;!Dv78?g{8foHe3ssOlB*( zC_Zi($LNqAHl9|Tex`5dyd#o34#dHMqMB@ zTmkS^0=@Z1SHK*GmvYnXmA{(rVtEV*Hk@SXP3wcP_4n(c;qSU~aNt6?Sxpd;K;+67 zLi^yawQKU#-&N>ke#&iA)pVC;{33Ip=3pFW>VIaKGKQ^eMx1j6N!fSY(}L>w$XNFEceEE0Fq zcici5Wlg)l9s0rhb2&R1p^}t$gZQjaNgwD2aT@rKnG-{qL-T^j3&WId08A%BYaw-Y z?~X7iD>`KyMV}f8M41<$L9riYY**kiJpds!SvPZ4DBFj|L*{E*JO+Vu@sgNv;v=mf zfjTX?W@u89#4$Uh-?A{nyvTW>8!pu7N2uLF;)A=`y5hheyMZM*7`g$A4E)gn!hB(* z;ipl+!cpqEq>+JSJknq;qeRnCs2R;k9rMVb(I`CaKJR%%2t6q#?3$Z|{F9_EHlb;t zJW&ueDb1*<5h0Xn)($FQC&t*vdU=PP+%uEJ$x-j{GnV z$8ItAQ|3B*f*Y4K)Gzd^sdHz~o2CQL$^0OWJpu_vNh&RKDR{)XB=%if(4Vd45k6bW znFGD?cvpy_XSyO~VTis##|VR4Iw1!W?W-jo=ISMJJpf12u`ydS$R7`Q1CL_}!p$CZ|;Du3y z&2glXNKy)QnV$E&IqIY>blEA_n8V=l#8OOdf#XXlYKb3$14a|DA%@r**Y$Q? z-%NWf7tv6!>%dA*y_=!*p{E9epdZWAvFMoBXCx74E=SUfLJUcO^&@oT6`J)M@u~75 zu8H#`(7A=U^A$YO8f6n3=blk}f@~G5ws=8ExK2V~-Vswja6;Jdiv=4tN4w{F1LJIBO7emYfur0V^QRD-_} zs*2ugRAK9yCuo5HXg}q9gP?vgWC0ZXCzTX+cc@}>v zi@iN&Ycfdd-we{zNgJl?bix)o2SWVROu{lA>3PPx0~$Ktyb*x~;o#Mmmy})e?R{QR z8(a|~)TR&E#^}wyKDM*NQyL8F^i%mU8*EaW7yCF-XDE4T(CdnQlMg_2!9X!Yz1!`~ zOPL)1DjD-I@+C6S+sL>&3E>N5Qrn0xCMj_mnGHNtGc3KUVm3gpunSTZ+haT~X*T6G z-|USs^QSSJq0wXE&WUN?=9?VUIBIQPG1UIW={+P~9SLT$Ns>5BImv{$bPzqzFWZ!9 z?MXSGdk~`+d*-DJ^7(3od3C*(CzECQF>lv>tK}ilEc+P=hksLqleZI2Y!z$?jplWl z{=LcS&v%Jb0}o)ghkP==9<;XkelsU{%#U}E>Ma8>Okp+uL^<+w(#ENM!EaB{8*`N! zl0F{?I+5*+;wPG%`KoV9W1gA)3m3(YyvIH5Cw0JB-11XhE~YE*KwjPh47X$VD}#Bz zb&)aSp;SMCIYdcr^Tynrphe_oY7L%|IvNF{7u)uS-@JRLgiohLZBM+DagIIqIvOwP zU;6`=wUhk-Ju0Ig-v&a23V+DEys_3qn6iImKNW;V=G!}HVWN(W#ZsTesH&ZKy~q5Q zF!8XD4~Rrq$1HV4^HSA;Csjki;?tw#Ho=gV3ePm2FSLnOS63{<>qWn)LE6Wnyb{@Z z>QqF^?N#zB7&$qXM1Jd@E(xig-lq__(LD_|7w)5v)E->|F)eIi<{t@tjEBnmss67~AU zk~j4(iU#+Js%2@z<1i}h`2#_;S)$yuIYR}RWdqyXiF$WCzz{FWUTZEJIZtV}TZRCsi2Xa|mHIPp?WT}CK}=bG zQqJe+eO;W&Pej9C6UsBV)5kUaZVUTdpEkv(PK`>6I_c1)Ak*5CP_kUnn^vRv&Pg0{ z;+m_VCE2C!*Q*oB+FSaVI_h&rWV^OhF7I>pDlIB!GW(7$6@+0T5MIH!wDkeTwWWee z#w6I)_4Mg(v9>7bRi~HrzO{4$m{~z(H_aQ_!D2t;%-TQ;dM5>gx72uKG|sVRmaaej zT^P`E@4qH2;JU|dz$4?FlBv#Kcx1*C3pG!f*aNMg(cM}+|HZ!Ef`1B6qZ)cojE_xm ztk*obTC0Tg4KG^;YPav(A2ttm=DxRe+JYTceIg(>54PvNpXv%EMi0~HT%MQ}YgP@> zGR$gbuSyL`{N5JVvK^tAg}fgcA)YS5!o=Lzc4{<`4_h}t=5aAiq2 zCpEn%osZC50tRtOCr&O_Z(h29erUEgAx_QdY99pJqV}ue6SBC{*mF3&d5T7#d>e= z1oe}nVRi^B%ahL9CTUz|b!Fjls!eaII?x*h%A=zG#arJ9HaMAW&$lG^Pc3yXFyNg8jefkwME^v*FK8Xe3U9S%4^dr>DAHKa>9 zoxLk{B;kAenR>{ksGjPPHGXW?5)BAI7rVG{`@ikS{ju(_)OY)<{Vb8ytzO=u;JwOL zcil1JOu8@n-dd6TExuk}?O2q-%Pi#bq z1E#NUQMJmCan+ZMsU}JuKX%r^(|H-cx5JJXXOV*m#b{v1vnqAK5^7&VKh_SEtETMA zmiZv8inu}0b6bskACK=6lUS72ivGFG!_$vd$s4KhYjXSJ0Fdw8DL6FowPK#T_%ZOt zaz1|ZULxu(e?!5kr6~GY^eBQZyTY<;sx-Bpwex8^V_o2i-|s{wbgj#r^MP;t9N+vJ z3E=wJM%Vg5S~0dUUGN+2{C|G;XT(NapdG(}mFP3(ittkX(ILiN-(U&Y){<3lL)d1l zD2#_P3~Pn3#+XU5D46=pqRR^b?5nCRuBf}{R9sWdowF=>ano1V7pX90fKZ2ic-_>3L(atFPJ1Q-+XeqjfQx}iAtD4RBRfJTW`eR4qxXzv zh<0N0hc$7Br?VZC2t7=b5JVy;abN|U_g7*?KxN((1gcT#RH4C}kcP8nBttVm3e}&A z!A)Z}NaIK|dRf#axmUA6xe-Ae&=O~@O9?GcZYNI0l&aVHplKikIl?hWBqoUrB;p7p zQhFbuu61t?mI|h3K!a*ferTwxnL;&zkQsCtpZ3TI>WE=W&bdBwDWtllK+y9Wi5iaQ z6fmJDdFE6uG`e^)aXVvGnJlhl6y|NCR5s5o!LaTV^G9Nmc@5j`VLq0INR2+IzDXgV zzcG_&Fy|SUf^Na_rD#vCtR@)<XOxJj5IpL!t7 z%XoHY-R0}5ctz?*I!jq{jzSp0<5?I|G-Uot$uElUM>`3~`NP;vaI2S}@I+ zLQ}T_lSGPsxe%r}p)2C5KCW7U0VPNw10UFcjUXQya;fk9W`r^_2-7*H?;lS9i{ov# z7J{khXv|ba2W3;q*Gs2!k2+4S0}1X4=AGeF7l|gDKqh5&T|c2GG`&D}=CB!}$qR|l zEa|f`SYZ)+|+;_;RVE zCi-^kllT-&iLG5z9^2KB*-8=_sv~yK4|QS|T6V6b6a1*8n_)or3%MW6{7~N%#%YB2 zZc-aprU`wlK#w)IHR7N$Nd@ zLwntL_?U!DF?r0_n58DW(%^BpV)gv#`ql>*ZgO*_lATfBNFm_5REC`#9bE5a_&wL7 zTaCH`r0}a76D&ZnrMxs?DqK&DX>_wkSGO*LlBc>9Vq|{IO3@q0}@o-MtcLx$Pws?o6+=|O7atW{xtOZ zipr1li_Awku@SAX6cP|#p-W1rUr|-!=PbZ0Lryd=h&1y;C&~t1dkIBN4my;E8T#Xx z1WxkenRIlgGKT#MQ*5K6zZi_7rP!6Bb;prJGp}nb zh=q~$3bLyw2O7lW+^XLx-zI=9qso{qC)LutCDYoEaiMv^&fQhN>=7 zEDS-{7j%xWdCXW{^8P>&P=>wHNmjzmGQrO}7VC8mCQ7`V1uk8%svsU`+kzq7t9b z{5h{mA)wRnL;`}Za|zcK6lszPG#PJXfp>@TUZ6Dl+--5*Y1?gtb{>hL*$^A2{MpAzr@dDNGTD!R62GQ6mP9zA=Qf@$5Ns=2P@w> zmsKrW0+Tq)XBB%bfV6UEs`8=-_J@4CEvphj`k)@DEbYtzu&PfIM`(Z)%_|+>Fly!r zH$l(xhMJdX)I@8=|Ai)2mfQGO^SMb%e3~E`S6eatNKts+aF|Q zc)-FOX0cxV_Ghdo=$cA@MW9ssscwsbQZ`UhS2i4JsFiRUfl6`^2(_q+I?iG*b-54ql%wFi9UhhR>w!@p+A$uPwF_=)H zPR!czPv2?xf90qlV0MnWNP}5cpFS7rw%x*N*TeS1Mg*%K3n@{xP7JG!1xkuJdY|yM z#3liqlxd_Tt(FSp4Pb)DEEPen#FA{(W zX=cLZx^!HXIUWdNl$9~9^j_s< z4%OnV5^`^PbtuXVCMPj_m^MYue3?jw5gSkfI(d-3oIs3o&=0I27%PsA4V3B8RNd*l zx|xM-SvT|W^w3B35%z}JR=PsLq!AnzQc!*#anP`HrI^CfiqL{BFtj3_c0x2F$s|YH z-TsHSZ3q|rj~|>LdSWS_?5dXdT&^HkUqd%jbw^eZjdf?n-Zv(Q%T(o0HH|@u96{aw zZQV=|HS04510CLs9S)gbLn@7}Af65djO=X*mz>O1HC_a|rTx7A42z@854Sv)0iSav z=7X#1CKTUcpc5t(A8QOzRgO*RKqaFZvi-qEmU#mo9Ye1 zNY|TMK|0kd*?6(<(RW93{`qFTi{W(_Pi6y($H;Ri(~3~H_s5v2`j+hWZ^inR zTzx^R=2hTXp*Oa{_Xd9zO14a^SW9-X-KtX#`;N#(OOf*yjbWa%`bx)uLC_b^S>R z^!!P(tS+1hcpN6Gy3h)zwTnCF=(jQ@V|0U;*3da;-CN-@=agQug2)P|C5w@1liP}O zQHxf3f5p5JtpyjBQ*O?IXx1E``JG(do@q4;3`<5*UwW@D;EM(X%W3V;>XbAxo~rZz z`W@cV{0&^kJU~66y+(zYp_0@}<#b{HO3T7M?w~N%#?ct>Q`&RO<=%aasosoI zfklEaOfXfrV7#4fHls@b%mhoiL!=(688A^cL=&tkNBLZg&_&}>YBZxjh=??{Lg{J8 zP2bkZdCujK#_EzYpAT$-lf5sh72o+4l={tP_-Y*W&ifszev3l7sV{3Eze=mXN$cELDeGZN~(fdGmjR@i_meefvv~Wt<)3A5^Jm)YYHl*; z7DVHF?7t^T1F&GgY#jAr`;5uF33?>zp)WDNl|CV#H*z7h$`F~glJ_<|8UJtpHZvTx zgGo3Vjz?(jU?fMQ(-0*J$V)5Tme`cO>;YVqvA8@qO;6-;TGTm_@|*)yi?jIawoHtz zCn^PrkYl^T{%9YIU9Q~%J%YwDsrv~F>PeuIs*<<1B|Wk=dbz{~wnpvgSi9sK*{fW# z-K=V{zwE7GZrbrjRi8*(Q=WM|>v$hs7fL`5K2;+&&`qruVi&T~Wa={Sxa=dF)Ap+) zW{2bh=G~2bf<_2^bzdKfMH@otY?xwGT&^raf5pK@q7RaqYTJ)KdRGWC+rsy&>F zVwE>kor^QLJMtX$1s{ogcgUIXR3cblBubBjd_0n0HCHNzd9$gD`3Rn>Eoklw9=Y%a znv8QlhKbh3zS4eIaayPje$ zmuHLiN8l0!#a*;tjbJnq)%-yjX5^*M*}7DuvC^N)BlJ=XiF6gsKQf3z!pJt)Q_jHJ zp)YmIysSelr?sjhyj#bq=B0TjwjiCI1DUZmsN_g z9}j%FklF+4?mfT0~O-psibx;@4$3{7o4_$806;uBzLcCT}-MvdlySHDtb>*vaQ+{O% zGGlLPuj(Vptq2u%xwW4Nk+lo{c0S4O~ zz@ZhhRKCulzQP_ZIR=IgJk!Or;NAEgT)w-t%66}0S~TRD%&p~^w6&Qi`^Ea)kG}i% z`cgGS^Ol2`f%Z3Ij`j{Kw^M=6lG zwqW$5ec0;W+&<-Nr~GonJ(VW_W+R!{_+roxKL*L$$wxwd>i$cO#vpocr>c(NbLO(4 zvv5}sr1q9H-S(KydkhZw&K}S??~+yb-ml2UjCv|smq#=ZtZrZagfxvaZ>8P|#g@2n z8*Ij{YUGA~Yz$w4evDmtBIkY-_?Q>TsS6W*BmtYXWT=9nolJDx7wP=zFMhlH;yb0b zPYK59QUhbmNW&dH^5iV^rgYwZ_{j7^UX90+)f%1Z$Hd@X z`p82+FYq56airkwZH|@G$s|{I96u1(h4F{>rY2f*7H14h>iR~}&TeRrslmNi@}7G< zQi0^Rt6cIW(eRnN0NG-^wvHN=8_n!>`euf7Pjx&)zsEf6o-f3i9FV+-d@qPzr>G(= znckRL(LElxY#UB~9;+}ZaLRL`^no$FFeTFPD;!wnD)&7_m}%;V5ItVbZ|WUY>_?LK zmYfb$Y77X2)I!L`MK$ACkwSOB#cUn0b-AG*FHVAW2L>Xx$48$qn$}Ye8`-F0NLHa<%pN0g{(v!2+Rc~WFAs+=e+F|HqfaHB)&;$9 zv0t~UM36qZFeySy`NXel>^!jZHZK+k-A6yooXC;|_EM}?lHGdOW2^q2aTyoMMXZ|h z(TyL2)O9jTY=xFSo*Wbj^B7tlXMEKLQ=QbRtMZw-!mtZ5ow}SOn{Rlo^^~uFU_Ju5 z_dXTNPDutEKInnCBC z^7NUt<{0%2q0~;@XK=dBdwRWouWlwzIX2Q%l2D4&c(ElXt|-0P(huz`uSXUWKfo+h zu*{6QBe>42`3c8Sz3;n}!Sfzwx|||B)eW;ZeQ%2|lKG~WT2FP$5EM*@Ga>Zuk&Zdy zx0{bJ~wCnsPd|~?6WO{GqKt= z%4p*`$Y28YjH!{BP;`|sBTSbq0mrbCN9-BN%H;C=X{OVFk#h7dq@*S}425K$PB{VQ z2iry`v8)eWzN4d_*}w6;i-$)eXl?97jvLVYIWp3p9v`q^uQy#gLk2LLN_!10l2<}T z4}XhFVGUtn@xM~30yp2(tCiM(XaTpsRfV2Zn7&e>$PH8@)B|M&^XIJUgq8oG0Vq8q z1)D^v`uc}+g9VAlA?weug2zZM-c`tnfFi!>sW1?4o0;FSBwudjL=Y62!n0%s%P|r| zYV)*gEbVeF7fSH^rekJ%Y%T%;&`lMT?O~CEmF!f#cScsR8r`X!N5usC6sHDaLD(j* zRNy9c1Nw$Zk;^MJn7Q2~T+D>_93*^;Wl0WL@^vR7fJunuYD++|&Qw|TfFvVshme#} zhFK>H%b0w4Ag&-kg(~z~bQfDt0Vx2F26{6b=m8pd=0$r$Pk6DaSLAt9Fiu}Fy()J0 zAg^G{#EBV)u-yA|RP1P|wQiZW=Q~@WoZsO;I5FH67b-^6kl0u2%uKcgfn6+Vq#|I>8MCaiaF8hr>`JLl!pQW^Vp&xi>fRBO)u zW#cZ?bcYlVcV;~gKdNFwD$6lpF1TSPU*zQA#rah9l6V*LSYVZVm69^VE;$dk>_MZ**AVQ$&-(8x&LbIvsg9>V!GuY_*+vurF)IFnN+WGEb+<6o4;@qy`rP#RdP7{tKc*+8^-eLFtpKV5%z91$|*A%4aMXp!0)c z!e9k_*sW0Y{Fx>c&A1pDEg+%vYaG!1h-b}_UWJMU5&DriO2M-~;O~Rh_J#)NntfGs zs)|N(%={SAx!^AQN>!n&3dgFj{-X;g#8SS)z*0$`ZfmN__^RHJS4ZxnBtFcW9aGty za$Yg*9_;D6u3R%K9GX0~oXFb*PQKgg(h#|D_J{c4C>*idp(A>J-D0!L4<*{rK_|5r z4>he=5%Cm}aQGv%Bnjdhq@grMFjOO`c@%>=(Z>*T%lh}f`Rz_<6&x z%QN{kPE$S`aaRPwAk+l{UNpqg)Kv8ZS!wJ(6#=>2^ zI5CNq%2?1{<)Be1WyV{la)%yI-zSWnk>=?6gPou@UVZ&{Zi<}$j6#=wsAos8a+kN5 zBjeM5_7g8;PUWGL?1A}oQNq11^p!psSWorl%Hx+}eW1;7sU_K+LdD@hJVS*eYd{p( z6z5#RsGRPqZ1wrOyh%}xVS8ponJ!VLmoh38sCLcNp+^D>-Fu5EaCmkV&+w?z$>b5< zVgNaI=Srgbce&i3U_)xl-MpanGEL{Q(9&h&BKyN@0f>CD;-en2T% z0GBOIrrVax+V!Usok7Z~B`egfb>~fY=oI6HU*K3g-LLqJ)b8lmexhuvBY}ae`CedQ zj4<8KMI)E$*#4X(;F#+dd`plznsQZ?O+BZCO>Vl+kS;&fbTlD`a=$*zUyjE66ffn9 zhtZT1d-@y9x*Z12;5X*P)~cpUa1dXY{#^;yHYNnj*#!1 z023oc$X-`tuWzp4qjuZYH1XP&+3xM><;a2nf3EG%b@RDgzV11^pRubVKgb1DeIj6? z04K;H%6uk8>g|^Kw!vfT?|<{Q)C-|HcoK)HfBc_8`5lkAl?%g#P_K*3oFk6BzjUtB z0PA!cS1Ab=Sm1O`IMe#vNk+qw%+2}wRQcD)$f=>uM-VJ-i;UJR`jE}Rl{2S@in^9G z=jMT_ia))>gFpYJgiU-u3!K1`%BTrumTIS134*a)I|T$NUZ0oUJ<2^z@N1rv+m{J01XFH8Lr-J;PrP<#B?43J2l`>;_PuPoNk%!Hgm`O8VOn#=>*xZ_k@(u1a!` zq=a<>OA2T0RU~64ylEt}#*1I$v1}S}bxrkGPbzieekp1AHO0X|V)6#+3PzVJ^Rbmf zKA5Ri1oQi*BI@ZyRnVWL%q0z2r>B?P({F4!c{l1vZ|j)Rv0y^Pvue%_LxfQF+g7rS znOqXgbGrVvAikThpZuW~u5*HgMNVY|%`zyjlaU!Gs_Ob1Q8qhuKB}l?BiEte2&ve0 z(p#oO3EStUQ0xl1qrViNDs`@@0lC~o^8}WG)AwY-#K~?bW14?DtH7e?64qu-*N0(A zWzUNxC&ufUKvfkhAtW(kI`Gwvgqf6G%WOY;rjQ^O%uU_T`C3A->JHlgw}S#J>WX-z zi|$Q;_OmLvm4IOZakos`bg`)$bd4U5f&hD8_NSP(fh@h&6e;XIBw`W3=60q^7z{J+ zZ0GC1dSBHN^>R5)0XZX|IL0h}$t&?Gmou~J$8=U?mGVsb3AwsqaLYXUpa zqJUMB7$*==Ry>#jsXw_ai3RV)QNrA1!<9!29cVZ`h^0uxxZs5c)OZ{MX=jiY#FQ8a z%us1knw^Sd%6p6<-ot@K#$%4yTb_z|DU%w`Dd{tasb}NS%;bBfQc$#tNB~nfnG-QQ zxB~59hfKZWysxjcA92OdLGDFtC*`h|_@+ zvQHMK1f4iarCbx(C6#!a>A86qR$&QR#fP2aZDMiDKkNf>)1VU`2#$+D}2{DnP5 zFQ>h^>F7{BgP6})^jKn{ixrind7}tRyRXlMK_Xj{h#6h3H&y16N{m^ZI~^1Q^cAX`;#f_JN0lVB3-Y>`Td-?hTi{g;^FRgrwYK{&0%J0GrF!f^p2BVop)Rk!?vj zw8GT!lp;#-Ajxq!mlQfr+9I*qCcWvkYZ2#G_IjQP@c^K`DlC0;?al-r45TF?--=vf zQs!F%4jdbbn0z*f%>`F%#cW9@u_B_LNv}l1qua)n09Vks+WK^FGTod&yc{~qkTO93-u z4zHvQ>F(JUf5-`lhC%9+VHpey4$OU~!Qipyx+Z*u049U;MSDKkykoP^M<;SKOyIzv zFianBOcAloD<0vIghX70&bIzUm*I#M{4`BcE1VgKQhWxhCYJ=QbFl@m1UwcJ?nl?f zYdf8s1O$w#&EGi2^LJ}<^90-d0#ti z&EsZDLw!>g7zetY>}X_M^iU)-Mub_ArM$VF*_A@0&JS{5-O%}82#7QV-kd-jLqqX` zxhW|G42;00*tD|d4+1e~1vK<1wgmZq*oUL9F>@5DKtw7@I4`hjP8|tekci9O;Rw?- z4Vd_LZo?{})^|ztou?fs%y37M@H{QoiSJ^2_9pnBaan$i7Yib>mq1zmSANOk`250L z0K1;|Z=zJu%LIE9)54zGO2b-LJdoA*m}sqj$C1o&J(0CU5#F){5^Q^xxW>-fqude$(u}r56Cy)NhNEbJ_Fyy>IE^)7sE>O7T&@VtXTY zq7$M+k<*?PoeC?V$|H~6>R6t>{E0gL65s`>J(4k=IhJF~jrBzh_T?is%neVHvG>}| zm;d1ze{wo|Iu`~DQ?KV1C3$!Rh?lw)#MgzA*f$5(%;Y+yt^dtSFk4rXIvZw}M$^y{ z)N|^wDM72M3i*opda5r(Tuv;eIU+j7t}g`4{nXajm9Ur4OAE{?c+^pzhM;ipfd13= zK?tNy#+7BK01vib{-UwzfbB4`JRKLWHLXp;!*T)HLl-G7PF;QZ??FTUeE6&X?yvrv zzxs!N^c4=+LTAGyoOy@`AE{R z_aLVk1H!Ml!;@%^GX-}=&p_yszWgtykPaw?zFhc*6uT}zea=rBRFHRxf-zs^*VecL zruI`lmE%3G=pVuW{~GhyyFCj#8L>fV}Zz_GI&dnu^yT?u44X0S9LUh>bSu2enL=@aE&k0xA5 z1m(a9Ax(ehcV5#$4c*f-G)FNF35NQD+7+mMHueKZ-Hp;J1(zx(_C<9q6MOjmR!@~e z)K0{;i)onbFjE_9=qg1sO2RZ*=%-R_$N^ZFmEM9yHI1DB1)`-kDn)K~{vc5*OzMSx zy3|0Wh(c#uf2Fxbl^{m5whWo;v>P_TXtv{1Wx$1B9)6 zpi(90?1WhLn9#v^k6)-m;RRkc(YF9=-tYp$=S@PPO0kq_La|9GCZWiY#F|`5z07z4 zomVf!js&nJq<|N~@r6)*8EQ%#(R6tn>v5Sj-wQ}6m0MPIkcw@<8()az3-uL+c_PbI zc;^jI5`4=&27wKn#CXAUI1{cD#gzgnX=OYf0aME|N;EyDT*E7SCb9P=cQ~oK+=?>e z#f();!uo_vbivJ_+326+mui;W=Beyj<3xY?7_}!8ekc4HStMagPaqh&4Fp;EojGgJ*Tohz%gKOeW{b~RUq%S~zLTgsP zx;&^CHC10xRcA*+GyQAR3T z3}cbY@uG9eJ(gVPpqsL`^5)nw5}QbSJKl|}Q5= zR7yZ2pJMlHn%p^j{(PRWs*Qdf>!*6SX*$yRlemR^_JJ-&gxtr9QZw%GhjKVoniJ@o z^ImKxh0}u8Jk^_0STp-g-L-xvzmhPw(?cT&0dlHQ_gKy*E=klNslhPC$Tqd+l{{x6 zY&@x-X~Xd++Mje0T#=ddbwcZN^hpErzNI$~;rH4M8_g3;8l*m=6F9(^Yd z?6xN0n0PirGryd7E10oe$80PR)`==6%QL;S$gPdAE#JzFR&H`=#05fdI6paf*I^P4L15XKsTRY-#z(XK!kXOD?eB(|0?!4 z>_MEM8pfUL19!3U8nr2oau+>57&E=={jMpxzB$Px)IX7iaOu!oC1h=zi%*sB&cc`@ zr|g~`&z>AMuvrUxKtOIpG&vXtL+$kX7H>)DqhkPLD1^cp?mz~;5K<&r93TQ)Cz`@2 zGiSA0+ufy}f|jKOWAmilk_@$_vq_7p{A3DU7X^kG9V#l@D2ygp+JmU+lwkP2MpUsy zL6qLQ5*jNdhVF&dn(mOixjZ}2iU)7HczS~Yuw%KevPeSnC7w`VGC4B(8r=XxK)k=~ zhc8@M@9T11NR+8+s#Kx*WBnKZ;=6ZDTjKB(v%^G}(?<0PTgy>0aeX)(A4F-l`Rc}z zJSVC(R$iTH(^UPMT2S&BwJ-#;N4IbySE8J#VOPcH9j_ukZ1Npr7xU8t0X%rrw%HVI zi#=&qVnc58krK)h^D%mi3MY$3O6~f}-14WPB;}I_RG@%abSlU4QS|7xPzrrECH6-G zeS^{K?Y1ZC;naXtUDX}5K%)hbYC`Oig6B=W!6H)S&*j=~FW6d$RdCG94Kp>-&>D(+ zp76p8*nwdM)h(1^`b&IENMi7+4uk4do#$j#V*e0A98pBG%% z)p;i*x~U6s{1}~3GGQD1bR=-v<(sD-irt>ertB=pXg`t&64D5wL`G=no#)`qc5hQ( z*$)n5yfNNS-9oikXdq`H{uYEedUPE<^YDJHHm{*7(V9<#y; z({W&QvRZpxRP^|7#ld&z|Gqr*RWXfj^x2{`B&|$niM4o33uKNHm5ykNvjOq_Y(^ts(m0p} zuz(C5au_~&Ka(Pgp(kP(jqMv7HlwXFsenj%F-19&*$@f8n16E^ZRlua%>(55h##=N zO;bsj9e7eWoS41l$t~8&!j|Y*C9&VrrlbxSiYhG9t9qfP<%aydlw0MDh{<1B3{f(5j|0*Q|)n{H{#+X{d@F_UXky9s3qy&VlF2 zCr?(6*9xkTu>yu_hRP!B`O!FN3^L;!(cK)Hf_-7tuMC;=)EX=dPA4A8neEt=@8;Y> zyAIe0Kn%O&)U#C6ib>0#CJE2dh@?IC@B_vj62+up4>r@zkF6`F<(VMF4z{TPVik#8 z8+|(!7=IOTZOS$5c^=)Kio?EG87&hjQhhXJb8OFZUqO8;jAmRJu5mKvu38B_R|(=Y zYFOn@Jbr)?AR$3^zhgY^#4hfk7S-jeu`-DSxWXsc!^7$(ZuSMH3Y}`k#?)nnWo;5f zpAAW}#X=<6U52o(((Oh`4@ynojV%z}K^^!s#jdRF3)2Har^|&u zr9hHm3U91)llKjSoyG+qmYEvK3YkoT1aW1OU&()KsuNAV#i}>8N9h8Q^edUhh^q50 zZ^7Xy5^K5fVUFbdzq#_07&g2Cy7uVN!6z#IW}8>TFL%6 zmz@JKOiyt(_tqW~sj70v86`{5rEE9#(dt^5 zse5AuQ8Ocu9;OqA_T?&PR-9tp=bQRw&>&DdtoO6U8jMnmHuTa{`Fuca=pCk7Rf-m* zHPd5BZi5!oO4zK^bPrS6X_Kj!^Z5=D9^27lr#IG9FOj9f3m0-ooWq(K40*9q5TCBf zF;i&T(I7t2Birgf_r{Fy)5lo#D43BNr@6swkS`kSguJe|o_oe76D4vSdFfCr9rA){ z=-2!HImcS@0ctAr5Sg<}z5R+=W01n6h&jD_tQ+skBJclP~gQN>X&J?GevX!g22>-y#fW zm?*D8eAJnhZ}LuFBu&!y%o2644e^8XWIx$^ws%OtHGhRUgJv1HuvVhxRM#8~sX9i_ zrZav08{gu4h^-MP)9Q-72vUXO?;4?K~$?L$q!+&qth?qzQ`G)vL zW9GNSOLYB_6%S|RshL6u3Suu;V_9Nk?pf4ECB+=-gl}wAIOsF_`t;==)e;jvdo6v9 zE0L>P6^}Vi?&Vay=!9KE!xlmj+-(SDb1`Htb8o>u!rnAx&I*ITi9FqoWN62jJ64%O zstqqsj=O_%(|}hcB=U6|(xDCU9U0ZBU0v@kC$gI^`}dxxV^KP5i9X)1`sO4tDy@y> zG>Ku(>b7J6(Xi)A#NTi^xWj4V8oJxxN&rC;k~`NvxYNESr8fy9;Mk2jEsZbmSs{JFD+RB8?J-1`f7a@&aP-aO5_Uv<+87Nwr9 zKDLr!1@%+oRz`*6jVqXYmjmG&Dt~<>Qq_k4`b+C(|MMgU9y9Qa38S5vk(qHbG9xQ~&bfIc z50Hfb;gB9y>=rhH+ciWUFkt9OmjMY67&BpgYwaDeBQo;d`(C|5 zuj-z2GWTA4?fX6N1dRLQu_0{lrd^iVel{>2Gryf9 zq~*guxa>AJLxC>j^NfVLl6S<6>B!O|L-eylsfAFCNUf5(9M;MNFpj?wpW6_Vv5E0riVDYSsi49u+{h{5lh z#*!!#e*(c536dvxRDgs&iBkG5&LmaNqU65-7#a)#mc>~}6^O{z6wib)4Jro1pJOT! zRuf*3Ch)B^IOa;CFf9=8;U`>J5Lk(jCJNZH4v;2ca=xVZ)NY643w6~1 z1Os8rD?4_;aMiVP=rAw*>ZO1dBi5D7{{$fMjMC3AButfz<#0#Gts+h`@!U!ZIyMxH zt(#DP8B7p5M)S&Ii;OceFy7JbaxGf}FSQiP_E{KG$G{6tgocR&o=(|3W&-Jq;%>;S zZ<~D&l%vaVucicTgs}ZmEiv~q=e(t*6851bFr;R5OP+Ob#d)A2>Ye&D6k{CFMa7^% zEM(i1wz!CFZU(zA+Y-Fz&%0IS;(+EjRmI3k6Q^yO4iBZhEv}%}+chstL$fLjiiH6w zmIPzlMZROXy4!Un-F6H#{;1(tTu!qtO2&GIg(K+fi?QNQoA^gsEsSXf(li{Ei=DCe z&ed)Q+68pMr@E9!UXJ)~Ok}KKIUL^vLFPPE?Ie46()vP0h%juXGSZM=+Ifbl5(ILhgGo?w zQ^E0+6*D4()JFF#LQn+0!tjOXbEOcvL56~N#T8r4&i_~`7?CUwQ8bXqWbYNTOMdv%OZm!*X1XC0t#Iu8-(Ttn zS?Y;_j3N^>=t@j9|LL-00i&T02#l(5wOu-A)px^ARUD{6nuE*s%|H7u|M9Q>;V<03 z_=kV{|M;)}6HwWwe45DUbW^zJKzRv z*PK;#xzkYXl+lnB{MFz8TdW`t@{C&Ya}~be9fy30kN*DP|!;hQ)#2i6$oUc=GvjGoF3`Q{>{C;b1)8N}+(Cmz}K@ zoqYTjBZ!k&s}VTSL`R+>>}Lz-gObmxIg_(yj~W7;Tz=V!~XD&N* zqKTIruuba7cR2n>n;(bdMf1n^diYk6VGJWW&_zz%c40bkRICrf=&t7LWd?ScIU*#u%oNBR zW0{G$;6$5qRfC6Zj(3qoZPQ03FE2R@L=ABH8Sp&D@^gE<1;Sz-uP)gU)tlDTJ)_UJ z%`4yrAMF^CUG)g_K9QpT#u5$Z*95@vsiF!Xq3*Q;o)&Ww?CIA_HPVppz#8H1Dxo_E ziM-HCpD0n;zmm19Wk}GcxY0K^?+ebiM`iJyD(W3I4y5XdJH48DKX zSa!R4>(R=7q%H9{Y&J}RCs)ZXxJb^Vcc)PBCj zB!@${-<9*pBiCHG0l08zOgg4V#H>sbfv4Y9i2J##$D;El;2DSr91Si9Aj% zPdqq!;LF~%ns^-{aA%2^0#OM9y#$q$mQP^f+_hW}kePA^D4;vI6NpF=XUtH3Cf3+m z8SHwNb@i$?2rPLiYmk<3XDk6sATo0_%+72eo)t5EY7fJOsksbgVO@sq*E%z{&?+NryA{R3Zu2Q9y-p zixGJ#xVmszPiwkBL^VI&A`F<}t9H1%5ztpUBSeUtES@q%HzV?Bt8@gHs_}*-+cSsG z^ZNj;w8!$o7((TK4>_l*7Vs?`0?3Arau$eSWI=4ArsnzI?Dt@{<3}Hom~pZYE9M56 z0zW20{Q?kEgc`A|&?9k)mr<$wIu4>rAa%e?9w3N(>L?Jok88=N6f2y*kHokut%hN% zHt<5kn}R5#@XFn;0z4$CuB=MLa>o}U&?9|faGQ!+&ON}^;)SQVNHYdnq)FNR7GCCH zK)5`1?hy4XBf_>V?hT3o?4t+0Avk{zgFEz;^_>4m!_j~GSC3o0x^(VuywW!LxLI6V%%xIJ=(SSzE1-o&xPdx z0aywXa&@NmZq8)wpHUnB7Hkb1_hcpuIgjVgYoBk?GP|9Ipd}->_xJriLse&5)~XK8Wdtu?cnDx;IOYRVEU`?<(mMM z*vO1%9^^o&SW0~1Kt$-#shTW?rp3+pbK~)QJ2)tLj7(e0sAl{`b1?OaQ6vo;K&4Rs zGEA#pjn)UL1Yd^Jaj7QUEMJZdf`RxQpvV1+8kqi(VH1UvZC1v(09z_2iIeAe zb~FXNYXFCb*V!6qiQSRcdL<)w2aX5?${l#h*$pz?eTeX!mYS4=18RR1erQS{=IB98 zi~bQT3zt^yRtDH8F`p#HsZ(&k^|C$sV_TNEwC6KS12Ed7YOnPKc|5lJbkv*VMxj## z2s1ZwuMBj+%ZzNC*NR#X1Iv9GTHZ++I=*5u2Rv}vXn~f(iBp6KJGTZ!Bj*^dpcMayBtG$5!3X9%sf_$G>`wxda|FHPLmy*5A} zn3WPO>aj??+TAp_5$7u7Vxe@rPGrDbhRsauGWELDbYyhg(mD*nhmQ(fBwm-9d35M*v02uokXL?el-Wtw| zxQzNlvG;W=L`rE&;cbM41 zv$0~qjbp31*QTa?79M!(W}8u_*?^X7Tv%C}ob(f3lQ5%w<}lP{N8>AuzCt$clCr;^ z5k1aj+JECFZ&qghR!4A-H~0~P91<=qok~j<_qFo&5Z#ps0*o_)t~G(JJObTUdr~Q- zT?%NDlZ#*mZv)2l0n(SzAe*2HsQlTp)2v498EBX1FA}8pRgQ{;3k+;XrQCk8C@gp3 znKWD!&ssRTtDZUo&3<%%%wuu)2xnMK{^UcBOJa7!^L71R)hqkz9?23>avy9LL4CMv z^yIFNK}bt=Dvo_NmQyG%SyaW;a<=?r6|EKqdc*YPeaV@h7UB^x!-9fcG#gSet!3H6r-LoW(NLvgcogjCv|X@Hfoa zc_m0~lrak#m4{Ypz0uBxcCZ-Q@w{Q~E1dWMN|!RN)rm&fi0We8>HWu*ohflw+YGyh zxE^+JgdN}Yf+AywF)se^eLf_Irj<7+hoL4!9gzydIX$mMb*Hf#4f9)!hpdbJH*>j; ze_Jt(BWA~!h7d|4QuViM35Gnx0(uApRy7CkQ7<)HI5W{WMnr3z`QCFyhCo9{*4jM) z!NjApnxx|-Fo~=r$KiY~TWUtIA34hr^weJPs@=xF-c7N9z3LFTW?|6N}ixXHt$J3M__@Kqx|J!U?xW7=&;u z_6>Pyl#UdtK`1mSxka4BAxp-Q zfX*MN2wrs!=LjkXUKKyKSw~hhn&@Ey;gZeRZ^2?{NtvZK@Y5wn49)O`uq7c(5P^F( zPbaq6g3Cw|5MjGgiooPfyTAH7dgk)IbbFg|BeEB|qH`vVb~$Z>hMe8#=@*BYlt<#f zFa$&&La*>6a1H1KGeUp?>OK6bBUhsrTc6XMKWtjVWe5rwoG?-rl;*-FiR0}|Pza*J z*Q%a><3udVSh{!(At719va;fVQsJ6XF-zj%&)j)lR-j`1WR9q0(v7{5L2+w|3yK_= zHxkKXiAy{+0Izh%fkjLR<0Gtw(KUdjB~hG<#+t%ACrK$QruhkRi;k-Y(TW=`)(}w( zt&;nX9iT!h54#EOPFNJX#d2~corA*_oaE7X_hNBVv#Mhb9YL;*>;Dp7(YT%`v21Pn z3^Yl7DOfz{g9~o9{$)U%@l4ZLs z5nlj@ib5jRiUi#g=(!fJ_6&`l<8aZy0=C$Qr>(_m2`8^YVkV_2(nxeq7^F{+2T8Ls zfjHC31PXXZCi9^yafKW6y2ES3 zh;hAG0{wN33J+e^r=g|RAiF^A0p_@9dEeE?4F>aYvCZ(9T7C+Q=c=u>LGCeHtI%Z# zFzbWGnGWNti!<#I&`opFM%Ji{rU@t-rfV9e{)&b&|JdQevz7&Fdm6QY4BpV?Wto33 z%tA>CSJw>c!IgH^<$&Z@iqRvckl!E7Z~BJK)_Y;^t{32RlbICBqRn;B8N5td80#8M z!Id?V)2vQzI&YwbOFUVSEgZ_!u&2pd$LA}}ns9Yx=L=<%{91mf&EW2ih}m1NH>)Gn zp@m;Y+!lSE&HgnzI;LGVIZ6I*MbL#f826tY5%+1$ydKHJ-Io*xSbks4hy_#*cW0| ztW2ASUqB+Z8nRg%U{Q9>C{gmP>@yEOchpD8j^y5z2?X5^x8k2fp1(uyu3d49jCBO* zlmG;Up?aia30LSHFsYF87+g zxI(PR3&SE>L$QZ2&A#9=M_423rBZ2j{@`F(4ndscWqus5V%%>A_?9#-=(t!?BoOxj zhb1$J?ATs8fb!Q+@0Wx_j3`gThU1gH9vlv%lsNYvz~C<_gEVmxwR*@Ac=xST&@fvC z$6tW`*YJ$sYK064ztY~B{{S+dorqn28xz_c41rj5%JjEQ3wT#|)4bGP>PJ!d07ieE z$45qN$P#m}-JdMA(kyuZtbf;W5*f%+iq#R7`0G&ncVj&hDh2Tw_rTFMi3x%-^m`_H55U-5IWrqMSK%eq;I|HdL#ua zZHx>4;UaI_EGUXnTw2To+4Q;vX+YJUE`AbySp#O;;nLHFpmv%QHjC~=jrTb*R|YL; zU(Sq5ov4b{#ZcwOepoCeS%kJBHFy?Jmohn1+>#VBI4-y_sSHbP?%!$jcYmPc6wQ^4 z#=$=~fX;RM#v4Ncag9a$`xF{jmd>GSJh&$#G^SPCUXw$~#q0!q(D4N&czsHzQ_odX z)0wb6tY-tQ)miP@YM$><4P<2E0Aw^^fHadPdZGif(+-;tKfi$F&%;xqVUGn^TM6Gm zlUlri&gy;T)*pUxEniukQScs^h%^gcOnS(MGegYp+02<7$9Mwpu@y`yhZ4V7% zLU1WzCs%#_;pcs|ZRRx$+_U==T7u5-^?Qb;y{XI28NM{0fP&TFSs)CkzZDfrMYcN$ zKQR~$E~ARzxB`}~rt6)C1AlG!Uka;3u zHBCX|+jmx5@J!M%%K=t1DC7)8F<2@>*Lnt`4{+@bPi3ZX>NJ-vZPC4WS!pMPTD^1( zM{%j)}Fbg7&lk;U04;C!8T<^9LQs*!!cROuN#1$IK_qOR34~aqTWQn;$6# zUsH9oQzS?>@-ZTr|3(0cTb;dL-N3whEHx$%6<4`0s_fZ8bqBZG%BAVlz`MpSqLZ^z zEdTTyHT%Dv^713wjbI*s{;gdJe!AjJkcoSGJjSU>gnZ`d2Pwqk=r^$d)a2~tfY-3~ zV96Yz_2wm;C8svsLC(lV{wUmMgt7NMBZBG2Rb56pmR4Y=*_x=(G)*IZOby5`;u5k^ zcfQcc5+fd)-?b9N3x4FnLJfShnnNSZH<1-GmjyKYG69A0wdZ~?1Ip(kRX$b$Z{bGL zSLPKDabWTrf&_bYrHtm$Fi(JJBJbdVE+HOW3;3NsE4<@yz8(R1!H>_D-W(V>b;HoX z$(Rg=QGS*d@*v6_b{ZPpdg!;najpN}DTNg>Uli6<=K`C>@I zVHo8M)s`%d=L+W*I%hD1jy$aE=^7SeV{0_KaGXdSz&HL;j7`p_(Sr(PxKHQPjPoy( zA!4Ey06vA)r}GXC(2UHAqFFh$J967>D!dzeWz}sy{5?d9&{By&0+_^11(i5VRlKE< zb*WC?>BIj}W5YbEsuWfwTv|nrkbTRt%1^|nJ>VJS_y*Vy;o1`q?oPFr#ybKdxjo>% zr+mekienX!s(S`VIT;0~YE?5Pb)s~#M~G|QN|`3v|NDdQ$$B@oXBa%uxt?ZRVLeu6 zY>&cdq|8+#_M#ZDA)5z55oPx4VlF}=UYr-tgz-}>udDM1#@JtqGv|pw-ebf2^F$_( zsQ$y##GTO5G^axZ*}-XKJ@N(_A1nf_W%i?NvJ^6V^W=)+S$X!38t_3UOXanhj&5Nz z6EPh>rng~Zq2okC6)xiC@gvBWn)p8)ogHX5K9=nAx$oUKXRrg2aosVagA?$Cl&F!!d2xzkA|Od4ew-|v6rR>6I&pxz zCQfqmHNS0yWH2yxHbCgcGS`=C z3FTgZeFE~x`5Uxkg8r@Q2R=|5LzH$u;C9myW53695r0-*5K_it5)r+aW^&SdrsZ?| zB`8AB_rUkvedC&s-EIeP6@-AlH1I#dySl@{u<+8bv#0sv>~Y}ft5D}1T!?6QJyk7V z{_$(`l#_iwtXne?fI}6T;52BQx^jmNCrbbJVH}ndsa={_K)c5L!;W~ADGFCL2GG@pKdR1hkRl4l1bja=0 zYGud%qNQt|`L8haW1|u>Y)cR0XRPg64*@M!YC40l%{>Y1+La zA$9d@h@n{r$eK<96#M2(rvn^+$M)FKyjI(vxuBB#M2m6iS+i-jr_%lK^B&h2u;su1 zQf|*A>QJ?6*zq2>K~&(-{RT=Zhr@?IxiBpm8M-^K-10Q6haSvN-)>0Z+}={&^0_=5 zzuTzPOYgQ;G=H@&c>n&EVh$xO<+#1r;$0S3mqr^}SQY={9H-)nnqK4iMDw7#ljVEV9FD1jGJo_JbGK zj4_$<2QCV@ie)+x`*HDs7Aqg7FU}qDMBGSQH*Q3}#*Gc*NlzjJD_Jb}HDj{mUTBcG zmWu;Ffk0Jc2^l#0(^(i>`s=9_yMCcfHc6+KuW^+__T4|F6{DqPdc9d zR4f;1c3P3oS6l*t_7^DLHO&wk8p@&b792UMYe$1RVTQ4?hL3=`88O1g&%ZK$pT=cs z9LeIzwry2)ptBhr7EY7=uVS+zL4xFps9qrDfjZMjQnDE_Ek`lNm-E9XhF@dg?exlOh zf~%KMJP3UowHS}*h`4%}qYapUiu#87P@UD-9Al#Uk_D;FJU-cFb7>${s&;q`TonFS ze}f>P6RKM@#wU(s5gOA??r}GWYvS-V`)@n~w9NfWy(AAm=c?`neY0vLV6kdtmr(i& zi)_sd0Rn*r;hcal6Z?7T#T6|6Xhn^Piv<`1oy z(JO@oNoq9*=yzKD#aHQLB-*T>vZXTFsxonu8KlQ>27Nik{VmyU?uw4GMbW|i5LxDV zFiP+WeVxG1V`aY4;3rTf8JJO-4oo! zY3H{Y7G?x%qOF@=PtnMV`@J6r>D{vRm20<2{&`DA92CZ=XM=v!CLPg8Wkv+LALc@t z^GNZf$9ZUhaq_tZlhNzzf)ktxEJ)C)88nFW$V9a$+@E(xI{%Yrik1WqkE$z&Gqrz_ zn;NIi|M{cIf5!&!`dma%K9^9b*udWyOhtz3V8j-Ice#Kn%?42l#XYvjaYzZl?gNXT z(R~gL|0=Q~TNeDV$PC#x?S`~9ekbuLDI+uX2sT~5pd&-(dMqcD2NARbTFc~A8;qIp zI4XFUT_?z^KwV+#AyA0|q0Ie#cmK`>bXvK)O)~OP2967A(>1kR>H|QG#v+YK_KSg& zP<7#k7=30ElNZbo9+nfVDa}jgk`eCJ14z}$j%5Fy9jv#VE7)+Buj(iw@NipRSLbVo zR~a#xuk8(&+++nQ@xicA6vmvP2jCxopyCm8Te>*@3U-p!eN&N>+L2d)cAzd{48s-5 z1t}>5Bepb_TLqU{JLG-L3E*&qB==xxC>y{Z+8P5u(SCx_$IRpsmyd!1oK7_t z4}&w}NwK%4%+w0{;5+4|?I-tc;mPi_2SZ(-7LzeALUgzS0MQ(1SlTll(G6s__rr$P z8$li&GvXoDOvLh|)kVHy%$MNhj3$1G#=YZ zJDKmk*JLBnk~m_`5&wrd8*qcfpD7JKl<(Bh>Odn8TBUsJk=#`}nhRO}JqcU;4f>(G za8Uy#8T5OWKenA)XY!1?WP3x$l(od}8hxfHX)_s*k)H(8a@1zhc-(T!+U5%xcOQs2 z`(M5~W5uLf5pK4~l)D=7d6J;u%7u+N2}AA!JkBNTF#zDx@P71VwvhQ>qpk(VsW z4I)>Qg4K!qNuy*%k;2tZmv~#Xe%E5=KO&x@$*2qSolJRXJlqRt0Fc@Po=lo2fimoq z0)6gASY!*F{b3|6e}=l>%$&p}w(*805!UY}hk+K(d03h89{Mu;ml|c31p9X_W&T4p zhLmw*{`3pE*CJDs1EztDsGSkrU4_Up5TG0P#EdavI3(X^kHCxpVbVZ<5ONBVn+Wc2 z5by_)7YQ|*mvN35LxRJ`QvRL>P9#9f34gCo8FZ)$`ETv4S-_Xzmw!n!JjzWzKX!NH zo{M|^q1C|_@XO>wiG%n~K1H~R!LQr1YYbei+*)0k=!>n2H>Wc=N9|kI9qg5c$-t<% z>cgM3fVM%%GK&nvFyRZsuiWm}5sB9sIziBZwry@Myzx4kB%hRaZkYP+kx&V!q*bE4 zUMrZsW&c`!AA&>ErX}!~$$FI|7LpkU*3T%URvSfm9~B~@mTo+2<#+A(AUPJvp#U$} z&Fy=TnV2zwa6aJyNlnYk65ql0*lEW&lKc}eefO_r(fqY6U>}Mg7&+_U{Bz)- z@z#A4CCdV%b*#xSL+sA|^H}1MGD7qf@C!r`CF>=n%aXvjRbIR4Iz0}PWbMssLS-FM zVJB*v*n$fd(n5}R17s)AP~9)Etg-hy|lM7rLBaf}CrrcR2rvz2I%kp}eeM7c0jVo*Sp4!cF5|wwns_lt)MmJ``}l6S&|rGL@zG;#%!Lnn z$Ophmp^M9{w}EMsn%0W&u3G8J*j_6q@zYF~Q#k+Vw>3KJ!gsRn82jUsf zAWS3eshg?+P7UP{b`wRBr&Z-#;mk8|*X$0)aWVAZo^g_AbsX&x4CQBabW97Auk%KnH(t#v?t<43KX1!dTF3Dh6&(3yO6trh&v+fw0Q9&@!PwyF zThIizw^8fZr)^SuQAy@(Ju{DdGGMn`G8mdkb3eqLO*ZAv*YmR%rE!Yjx(8bQwD9$F zdl0h(vSi!pwV`RVtM~l8KRx)$TV8l^{rCSi; z=p$%L$c7~^jZwY73p?LCvfsGibf$EOP{A0lYJ!3$d4rX_jAw1ek{-!noCLbq(3h;? zN>*OQOxWO?MCZ+8pYq05UK&Xi&7lh%6d7bmJ9XEMs$SJN1_LtOeVsFqobhVTSWFdb zEJi#Q$>a*P{}bmAO>8|fvK&q?qpFO z>AW&)X(wFC8|XD_sxtL&Tm+%XER&X|#e;(JcGh0SczKhV!udranes=I+xP~c-6k(4 z1I~P*jOeJy{6xFI>WslMqfEhVQ-AoyWgJyuk)Xs(GX4bc;;niCC;WjIA@{!Cfd+b0`y;I#(qY-LTYFtj^BGx1G5H%zOJs`iQkd2nIGFWnr~1h+eQ zI)PTJxm`+A07p~Ca(x!y>8Jbfb4C|}N0}7Rtq+eP@XjUNbf|l3yp}plrKqly;W`e9 zJY$e9we9iXhtVw~Mz4pJo=(;%2Mndj;ZqJ~r9BS3c79D$jTWI#42p23Sw=DrgG9yx zE2>;;2ACpK7TV-}r`Hf%RB+Wc-oEO4z+LVzn&8!h7SXwrS!NXYuYdVHqi$pjnU~m@ z8#HbaE}zXXH$nt-M1cXD3W_MPaWZm&db@+&^BL>{&~%Sb_xyXg6GTM;!2x`2XFLSV zIlwF(D<~BUVH3zk$oW7MFk*3JjCYabcOZFSUAnKYh0@2Z7A>$hrV?fdBiTyZ-GP%} zsd|$Z78pm$$^|%`t{@ApDfqws@QW|5ZPPcT6?JwAVoR^CXb0*_fqLUdXPFWm$20af z4^aHHl3bXy5#ES;nsf-op!2}KqEU@U8mgyrP&=?{;D>iOxRj>aqN3Dl`WYALV8(Zc%Zkw*z_qIarn;p(-@ZKBB-CM021f9Ff)qUd{d2l7O zgns3g{r2s;Owokv_=b##^M;y;PWv=}p5d-Z*5z|`xUZ?n(;(KGN> zY|)JF8zi6)DG`3FtG+b)JMFWr`{${>(iGC9U4>}6u3|!JO1odtUH_k^C)O3ArS0U% zN<*fl4w9#PyAt=~!U0H0>B+y3lIkkbKn|DfvR(za1Xikc-k-0i$U7QI00#q7Ab#m- z^K)@8+?Hn`I#i&W!F#{1U-eqGuQcq*1$}M2CDj|_0l*D!M8oScV;Hn{H`c2G{&(+N~cLyq%#2G*e;E)^Yr!73o0&oa&XDp ztZie9++l1}E7KhYeaT!~*ZRIW-^)=3}(J{R`4Uz!6z> z4>a>H$C8YcD?(2Im~~OdvO2@5%p#&x&mh1BL4e$~ZQ9!_^=$L3FBvdN-mk7n?jm{EIR)-qH}8$L~G(xEj~#xk?=6{EyRbo)08OxRpFTy9tW}L zE^w2dD}C94?;6?zj_#Yn5*-;}Pc3@UfuZl%?1y#-TDpe1S$R4nQD{PpSyyu!R2481 z$G7Ua=){|_3q*X=k=3!&_uA&(HOOMGuw*}MhcI+(62nbRTQ?oePDc6(UgKo4S9+=7 z<&)dP&vHTa{B#+ywOaUNTgx&)%}5)`AZ?SF>Fp=Jypnuccy3xqy0?mi~{1-AkF>QMJP6h)-Vp8&esvrU&^?vEl=Tc+pBFuXSANHyKMk^D^UYaAa?cowt`*8U%0qiKY3}& zeG*1bF=T>xl2n~(E;AXIUFCZindL?ngGsNc8y3TzZ!pNbr5ejp;_1K2_gh-kY~8GJ zm_#ftC?G8-qZ3+vR9r5jB)68Q$QL2L9&M=}Z6DPNr%{BaOhZnub)j!9NK`pD{e(sx zZj9VRxR}igNz1`j$uoxh0Agl~3HD$`@H3GVE$hdFfe!Ge(mSdP_POW8Ucb4^Qr07x z4_BR857tw&X=spaJ^n?}{-Bki#(B!`R*%`>3}X5-@bjr|b7`~|Jy?avijcvyzDmr+ zoU4mo;>W7F&(-S{Z!gaQ<1F*EjGwY)d(%=pm-VsL*Vnxkto7Qdsd2Xk)WK~H_nNBDJsJ_$Y%gQK)}CKwCiv6pckVnKX~ziIsNKJH0-WO!*Z?RnCRiS zwt}pS!lhmjgm)TxNy-B#^k=%6&RQ4tk-iTKJsyj-zF!x&Q5~)3bm}&}@yV6aUTQn) z3{RV0+Ki#v!hN_87XporX(r9L)X}nL_&V@?-+CJ%tmAoX^+1@*L>c#%_m29uO$(`mK34& z9#gO~;HEYhSRyIRBY!Swde({gErx;6myaqjsv8;N?KldunT+YhONhI(z+$!z8Al!1 z?@PKO;2QfgL2J)mTHg4Y6Y@tumbQqpqd1&PN`IhX)pu2Q1}-uU5RFxQ#$yc4+pXeo z|E?d-*K+3saQN`lj?uzvhC(4jHqX2`NWBEy@?jKta2cS}T1{gh1&&|rMTLXdV&+NM zxkt6zRTsS429&yR09S_?6ovp})Ef_Up`F7*PgYHtg8&`vubsn%ZLN9YtusV~j zM-bY8b0$itERGGNA3feP6krtKmOzr69H8fiwmi5y)RJ9aJY1*JZ%F;xl*g8h7`(qS z4GArCG*X{Sx2@h&)21FJcK*!V%Jt|2cIo%Jq1_|E(p=Pm#0YK~K!mU5*3QxF6dEnS zgWm(_c$$GpHyK=lEO12Uc50|Ecv$8OBg(+gko1%P)`IXi)1P0|{tD6r0A=h1FqbSD zQi2STQ3Bt=I2`dAnT%D#9t}z|c0k0X!F6rbu~s|r&(t|XXS{MAbMtet&dVGV&*~jb z(V422%C+D$Fd6k`fZs8Lh@jFk1Ks1F|4llaZ3iwnGbQVv!Kgt#N>S|=Q%H%FOGR^@ zuVIItKJN96o5{`&osuOgSe6Hhd)(@gUc>?s&Z;1(2&ARZK%vjB+)0$u4#>vE6|`> zh(D@7dtzWIHJ~tb$JMm(ordmMJ_{4#qUQoY}>oVUs$wc9(D=bB)+pMj}F{^uiEcd7Y zv}b1MJB63Q4R7)D>8S@yWb)Ot@_}@o+gJmbu=@$6Q)4rmQ7RAwqt2>oFCDHaB|ER% zd)oQS+pL|8vQurlF%L}!tcz8DYP|VmoGn4Apogo=FaKDX!q|0exEzLdF`JARK|JM! z%K;j}s&v)SVLmwx+;FEj*|K(Y)wc%HPQ zgF)NycZd?lTkl09!u%9zwhhU^6$f<<*#(_<9>{=oZp{GKzzf620EP`VgN_=OS0b`- zXmuLS8=5iVp5<UQa+sPl4K9v0RIv!`uyHCtn7t{lRYx|k`;BYW|E(3U zB??5|WwU))dpsGE)yte4AFC<0>ym7f5=$HQBg$fMjr6WfC2co|Hax@Z_GYQ;VT&~# zLCm$gE4#|YUE?b-a#=Jj7KjYRuXTl&c-|8AyDtfDX^!o2!LRxk#yO(RnU=y1o~ZM7 zqeX-|(FH0N`UelOiiap8Ceh^CbMFKKZxkoq`EVYY{;I>F^G03U68^F@%8x_KD5g6| zr>1>jmq+KdDi82LWEce8u~E~H&7QJg(V6B%)xsBTzZZ!1%4OqrQPP_WE$}Ta_IUmP z@{~1)i(%81ZTI#wk~r)G-kk(f4s$Fu3Qcq2U5WRCzF!OmZdI~tYhhaa)Of%^J~r1< z#scjOSahhQoJX7)2PPHwwLsj8B~j|RD(dCjUUc{%`}hTIIqYuO|M?}IEHUjY@@b{$ zoKlxJ=E~W?kqlrRG)~8kDRhr_N0Zh&aF{V!DIEV&waUdWM?~AtI=sV-WT-E|&v(5h zJ&TOsQM#$S3~w4auEtuUnZE1v;Fibk#OEBmGMqqc+VVqIcPgh}<}ynp zinYV$=G3&NBCJ~QvJk5r*rGLbU0L&SZ&UXD%{>l1c3h_Pp|M!9FYfFw=YOIj5S?kE zFCVYB3YJ}aGhQzf;xsme+S$-*1}v|xQCC-I}?4 zG|t(S;oJzv-@~+V{)9j|csI8YiYb0zAUQI%Q6k!v);Cmrte-9oc_*fh-Ls z_}A{WB$ep+XD6n!Sanixo^C*A19l@yc~fU~B&Fe?9vKI6=UUR4oc=oB0MiSXqp>~g zgt0T6ZVjzfy@H%ih|L_@3E>a6YjDBx5xMEoeV>x_W6~_Aq=L$T_j}P5MA@&4bRhfD zm=a+CQt0y1VK->m^PZaFuD#OCV+j9Ne82+-K2VnmYHTX>V8!I&u#sit^axnd96>?h z^y*ZRebx-+UAic@MTfq_G{j0=(_4O>X%H-ZbyMFmeny?m(onq)r6Gb>x-pye5m;sAWG!!4BS^xSSq$6!se3R#$kH@tQ=x1HY@&dyNy}z5JcJVw!KsayZ}c z_W62;pcm+Moyzr^{+EByH`6NlZG{L1FD;k1=3T|Z7GxLSRoa<7Vpv|^4H$8-n)btK z=*#N6i)=K|W8^mbi77uf)M^%oGOmqNx!UkF-Mx*)y#zB9cj(Wycp z3BC|C^b7MFNj&u|FU&-^sxgal+dP}t=fK+!HEzq+8(4qoOGn%ZSQZlSBNfh9XKr6r zZ#e#qv-4LZ?Ljl@5|^pMDeqG3LS-BTI6joIL$%6H{qbg@5j`NqI54Gs2A{N<#ywph1O`S`59l%LqG`dspe`NX0on6~`jmD> z>cQWq!SY<1*}1Gm=5Zv#elL~uxldF}hZa>oP|SQQn$5B==6;xa49TzF+smmnx>p;v z;F)DDHhQ`N`l8w$$_H~N!a`l{I`g%7++uB}T?5j9iQe6{c0|ij1-qToutHKXex8;E z{4NicBWmZkYEawhO1@NyFoGP#0l46JKA><}}o8N&G#5@acja~?#jB7&s~J3M5ou4F{khO`eP z%dhx&6p%-Nyye#*5dZ|bRf<8`Xjioe^W2wFqlLr>)!q#IJsq0qrx(W{({x>B#F&0RrJiGzb9&tRo#D1E5u!%7}K%u>$dW_Q(hCf(|-C z_Kd@**Et=1W~Me=DS-S4vq&(7IClbXfz|4#>!rsbP26ydpGn|W5Kr+$_O22=zz#$+ z!UHQD<75&TJE0&6Auz$!(J@?(cf8UtroE=(d!8Um;1j3A7C0}c06gt1@9qYJzJti9 z%TC$KXQXR1X3d;;KOhqwjy|-C9u5-U9s+FwkF!9-z)$v4BJ-kpC$IiwZmLbwU#dU< z13IQlPw`xJE(#$?%}Ga}{PK?g2TIx8tkAIrJaWN04u>$ME7;Y|LAmdSLxWo()$28b z4POUrBF%H77rMSWJ(s`yBfYKo`o(|u%YO{+;Eo@UD0yeLhHJ?epRHb9rSzt24v@(6 zm8SZuYPI1kyqeF{P4v+lSGjLpS%kJFygx`Zl$P1YIyy954ywk-?yju={0~YkH=$Kx zQ|^?u7kD-}|D(aG-j;QVtKpk@dGvHhCRUjvS^Bu%9{pet`vFc72BfPiSURc}IL~*L zP`&JF=3mIZW?t=A55ATe{TF7d$>``YoHq&(7W`int|p73^}$ z#Gl@wX2-VUaJf`+t)>S82n;Y7!tg;tGZcg(0*HPO66(PqX!&3&A73;bUk9 zVt=gYoN$Fn1q6wM@E5tJ;KvR7Pzc-+6?bwm4u#CC8HNT+s=ACrH0DJu#Xa$TqDa?1 z)jcLF-y%_b*I}7iV1kw8iQN|;O_}O?q(;SLB~fOLX}h@>$@2R_EzKi~;39Ql&ACh~ zDP#36;c{rFW|K%)lGC7@rqnc??o;tpo|l|^@5-*LSbw&@L)|>FUOd9}WU*Bjcw#5x zI#a+yiYyt}a&j2)0^Q*e*8;pw4-+mcp0E;TAgyGH?2b>kcHF0b^GEj%q2{D8d4x{a zoOF6N+#6I|fw!n}%)z690!&A*#=oh<<#0fUJS!LeapAQ}BL`Q*WDYTol4N~1u>Ysn zd!fV+$L`gA`)!0&Fb^;4m1%vo5&~!#v8WLdW|Gwo)N_m~1cX6gI}cYf!Kv0SBv!ul zx>7Dk#7c|4qZIohfvoMBl(9*zWAj%o9fJ5iZF!a!J%a3B5o(rw*|_yk9V+&~7=Q-? zHX9Oj-`IR~aKhlBAUZVT>AC^7c;#ILmfDD+KViiM(%0Wn$f%3eTZwdh{7@oy2hi6K z)w>VBxOnt~DLy;+PkW5ygXfVc0o&YkHkng`TkT#C2Y^tLh?lB=)%Te4p~)OuBxQEi zzM``dCV{Fq>|iV(h{5b+7DE+H(cQ37l{<2T^FWc$zS373An)9`C42@Dcudn6M`CUH z2ljBbZrfS*s1Y+8s%0nCqX$U%(>FXe4AmX zt|c>5lc@#pKTrQ;-i1;f-~lxb~MGrBr>Jtne!o1PI8(w zCeOLt;YoVRlV#99eu{L4ZS`Dj%}Lqhk~g5K9MX(w#t|SZ*>K5E+x5$sg>U_J4mPCG zO8(eNt(tUtY3hB~n5J>xoB@z0e*mQyXp{_P79`6?mi(_Ku!DwM>B-${=^1)B? z!PC&Tcj&xI>AIsrc0``^y{9J*gW%Jm7C#lK=Rbu3B0O*xG1M-?i<;|;@-7t(W}2jN z@&w4aryvU*#FuVs#eTJQwWZE%ckFT?OB5x=eb-Zv1FMIO{sv(O3SfP0{o#*G+{_%R z;XEb`X^X|)tk@@FS8X^z_d-Ydowz+V8$~-lB~K&BEfNQT8dwt$IU=w)KO0KKet;p@ zi_@oo1qX-~0o79lFJIbWC{?TY+KSy-DPe+Ig=y}9z_p`QNaUKSBy}QdLLC|C4%Erz0Gx@!WWZmxIoRZt{is z<8#u|@-An`&q>pvK9Y1l2cC`hu=cy{Ie3{oTQDk=G2^4@aA`_wuA)QYlV9W^t*3(075MQ} zoQApn;05Tn3a|I<*>zk9vOn!0D=MORCaa)IkFp|p-~3!zS(46WO~POB=w6-5Wz85w zK{rE`KjkrPS(Aw5$&cf36p`Si_p((>MJRX6)J0o<#dA&bvQ|l!%|*ufsOAeTEu0vR zO}G%Wg}yL|;iy^xsDnvP`V=7)-N?zboU&$*y+>k-ry$7knV2|ErbhbfKl;}6IQ*9) zBf9H9%9WEP+WS4?2S>5t+>CEfeN9|*DuI9uE49|_4A)^Q)jhLRqPL^t2Xqmd~Dopem{0QuDM1R0bz-3pm?w^E(~#M=r@p2lnFnWkrw7@z$ahe!^4IuBM`z}Iv+GLpH3 z2L-RxH)#`>+_Rb|Uh2ed;J?FZ`_moJ5Pev@G1yZs99-A@`RR;^yYPz+eROD713130 zMZ|G7Bapxemmb()=Hs>qZ-<_a^*|(LrCOotaha<>4-wC1j9J!$>UI5Rc++=vaEx1Zo(`>mffO&#RzWxc&sH!W`{xmcXB{0^_ zN1y;Z!UI949VNCyk2@i|wSwH!}@r1w0jx~WbsSbyo^1P{yc?UzRXFhkG z??Dq+%?mf|Gq(hwG0U6TP4JyOA1t-O5uXj%S#8+dGVVHK8hi0tQ2@3JjygMa#3|7% zycogFP%BS=zm|3KAM=hSER-|Oe$BG+Eo0c{f;V3Dw@%?B<|&d!Gc*53RF;-eZ!jiRjDsq^LxImhDS5 z?%Rq+Lxt-)`hG3rcr@P*Zi(lW(QbaTZ5mp(XCKm8g8F7B@%x<5(Ziy=(&F##T`A9Q z5`ClSw!A}jjkP9R)V4Y78ph)h4gbn-jW>)6KC08X{U>BoeGRf*P#av^^4ZntYzCKR zyB)4o*)sh$6Fz!T7;1ZryA}o&BDgq`UEfjBj5*?f!l9W$=OzT(kPv%C3KEtyj=#MG z92g6D3xmt|W*Nix=lGy!K@am_ygxoj=UYn8tKo zOcF#)M&B+ovu?tZBn~(#wD?xJnFWmrI>G|6fnkz;etu-cJ7M5Od4{%2viw`+=Eus= zi(?-Vtw{(jDy;Tk)#x~G`awqatBbri3L}pWvi|4hW8Y0WNX1FUyhi~0-!_-e$jMOT zi5EpQ&iL4#>N|P2e`y}(;?SVfi-I&nuB7;!OdKVVf!8hJqJnSNB@8>A(~QVd${r`h zx5~{J(*=M63(B2+yP^vL;}24fGY!&jRkTKg20}aP9f#4k${h$hUJwcSQyj16KEVP2 zKMZ@vJHPXNu@p@xZ@Hkn@de_DJLfZ8To&Hb_r(12mrU$9Nib3#0eCKP-xSe3U|a+s zJ6sB$nAE_)&k3>6LYxJw7YOfb!3?G-qOIW=%#YXr$2#Tme#aqvy?PUxb2c{uJ z4c#Po9o#>6Qbwe?M0kVz)Q0)XS#laIA^L(9Nq2B|ArnFc_iRTRA#Xyo3)kfROTRtt zjp7{H>D%yj;J;{y4Oi)WT0HpzFOT7ND*-Ix?Q34>l9IY9!+h!DOX8^WX-{3K%+f70@<>)s4Ywo7t^9 zSrPVteAq_XWH4z>g&(BWCW1YM!`b9mX3%EAtiBJ@8Y5t~raqKxHhrBsf3!d@vxUO1 zGiy?7{hO!%>px_g*nRJ{cmSofnz~m*omy@&G@`+%>V-It?SUQ2!5tn44k`H-u)>Ve z>TZS>`>6e81e^VJ&0hueqrPO4?0M5exHU%OoUln!7 z@@0D*PIDg}NtI!X6&m_YBWGnx1}N1N1URaTdm7q-&YP!M0yg^)U4Ieo-(g?Y^8{qs zkvZ7`mBgZ|>|RRBqmz*N22xE$r{STl`J_Kj0DjoW12$LnI$XL_H7_Ct;e;HAOJ+K; zzD~GrHVg{IUdHxU+%Y@$ngZ^tt4OIgt&@CFvO*_XOwE(p^Bd+_W_?iSi!s6<*a z7-VYpJ$DQf5_INPWA?pt$p!%&O}Qb09CqGX3yP*#B9 znVu4#AO8;g?s>$8Vc*Zo$)B>+K|gQz=5?Nl!$yweS+e_etpdcVB$* zg?7r&D^Sne73>V=iESZ{VL=qgq!;HnAoTI2Ws-Xd^=ahfc_%*cSBFKL%qDp_B@eS%v&8dOH5no+LosVPe^x+#pFRp^ zRZTrwwCLc?Ng2e|asNfU>UJh#dW^0u!(D2~kTlnNN7kXI}(rH^leudKB8JJ!UVm!bH`jr~D&Bg4_BvCk0vvR>Y7q3m zi@u=|)i;1m`%1ob$S!;Fm~v9&p2~_LhgxnadiA=< zIepj-H$~PsStZRU`&nujV9Q9q0k0-4dN(yz3c|x;6#kCyEPlL!bN@^fLN-MeO36f>{a zz61*Rb7vqyW}X*A#r(UVCzmww#tvD5)!kOTQ? zR0Gzf<{8LAQf1pK9%F2ov;1kI0yMtG#RRp=c2zVx^|>$VSvICP{iO71rk-wUOQs~E z;%c>!zG-&N!8L6Xe?!MCs_V8HB$CP?;2JN5MH$mP)HE6JrKg@RpVtS8?gZNPzoD}f z-nF}FM}X(wwWM<#TS{XHp_DYuJy3&yNNfX|oRU2t&a*Kz)@}R31!?|T>hRFFL374A zPKTz$t~pCV)4V(~>LQN%>=?INp(`WdZU%toH849L4S(Jef@!j zLv%m%LtEthQ;F-nFx!Uoo9Xe*%f^74JUlvX>0rX3(T@K@R)pPHdB_qh2%{878mwH#VNoPR@G zC*Ib;6M@KjZj$JmsPLxG?^VvmB5?R?VD!SEdHtjf^-jb3vu7>#ZGG0J!AM1Ztd-KS zNO*1Euz_4k_>_*ddh509i2Ths5NQGAD>2@iLr>gqVGYRVGK-Q?Fs&A?g00-bxBAcj zpaNUl%3R`}9r0gfn&PPMAvn3ZoDhdf)~~pvRB|mY5H)n{I=Kx3VxK?RRQBQ~C0@p@ z2E@)EUEt!e$hM)zqT^Y&9IO@1OCGD^NToe7|7agXqg2q}xL2}6Pbc-snk?H3H+ocu zY^}ZcXb_I&9I6_QF+jgAE1D1dwa7cDTAB6nRl&=6ZKTSzwcbl;z&vUM(*`t9Xf;qf zvU#3iTwd4K0(l*wRU4S%*YdQ!3;;L@(YW#!&6~LIsdKkFtNzZ9zW9P~)Sj_5mIh%N zM_I2K`s>i+P5|+Y@{P;LcNTH}Qe2!FaXE{N zjCfVPhriMFXLF&62rWoxDnb+bY^kHsDUL^JcwV;T#FKKLAty?VoP7_iKtCU>Yn4mO zW%+%}`KGF)G=)A;7i|6a4fhFY$(^(faHG}km1SP>CZ6BR44-_dFP^KHGEH-hy%3fx z@&@;Y{Jv*DOIVm11rLY0oMcj}fE>5GUA7>|&Qq@MbDQ3G={P_(&u}DI_Gm_}R=9A| zDAG|SI_`HgH^$+h9~dLkBf$+$9qC#R6mGYx)}@V&6fR~$xe%Aw;`-euq{+OB#-XcT z;YM*cJTfiqfpTNj3iAt(i{k*7lX$(R4~2nKbS6yg*+FEIlNvey+}!(5ff(LlcLm!W ztwI~`+FXZPf+EiDn|gSC%U@pswZSNcNOoe2*kz%}G3*!!Dbl1`^7NI@%5L3{4t(pmqpJNNUl}X*qZmqZyu&oP-Lx0e2bqa2wdt<2;V7K)o$0N*X=9)Ow)WR z=KuP^r@1djx=RGU1;Wvm(`et*5=Do3jcWSU7_=pCGCJ>emB&dSHUrJCHX z(89#?9+B8+9UVGE1|%@*cA5&VW;*V!LMRTN737)YD}K7j=F&4;dg7nJ(;y)zu+U~f zC|Wit&{5911cWGuMsy=9-;7OB^B0B%7eVuGDq<0CLCIEvLIzH6srRm)#rx z?Sfv>;%SWU%Ycgvot5AqQFnaL3s-n<_A^Kvses)8i_)eP44i-U%kQ5T*qTifDQ+Z; zwZ+nfksX_-NJEgB&1YEl|IzktA+u~-n$SL%s+K?mpM5YS*j;OJ_Wn=YFH1^a^i6#A z!G~gIW@KipjEu;N%bzQM&qH6JN`-<(8XBQr4yT*)sNGgubXio>CHAV)NB4OUg?baA zX+(Un5d_ikjWHu)Mr8b#b-J2!*en0cImVoG%-a}qj`58L56i(f7i=VHhW+KjN>`ZO zZ9pFH0LYy?b7*w!cToyxyB$X~(0-a4Wia_#qMleh8s~e8@2)T$-AOsi zaON3ljLjW$zR{)8J)>!Roct_@Jz#QGU3j<#YkmCpzdwd&j!0*FI`y1gexb3(m^`3O z4U(}=e?I2NVp~pMSgJ&-xKpDFoU6!GgxgU`UzY^9JaVGMEYFp8eHv)Gk=`zP8v5Mx@cP&}qo6^yrY4Xz=no5Q4tQ4&u6!L7& z0w?Y$)Hv5VA+ufmSaYf258Uau`DNfnJ9?VVOO|<6R4r2EocbrS|By`7V+blhQNs}_ z0I1-M27tFiX=f;#q_{M3qQIgqw^e;3Bkv^LH@(b@5UTL7?v zZa6=Yd_NtfQ#HZ&QlUsUA}0f*1<%l@{%an|ud1FYcVK z&i83v{h#0ab5aAQQ)@bGrXy(zu`qSeFs8#tqbOh-nVtVJvx(>!8;{6IyPco@0WC#u z#%S%BrsFk97Mck)Ds#=q1CK1abjHfm6^KO?-J3Si1MpZPUo>=Q=q^hli4Cp8eMs$hak@0F;vjM7O#b>0{`sK_#UrYacDgF< zOfZFXk_36Sw$FV-(y-q_xnn;!3F#(X=e_oFEjF7Qf<)=2}5i1*^s>J$h-0Zesm;e^VQ zjP6@k+LQ&O#=Woa8{6z4B9CU3`}4{n0HCSJd+CtFz)ND7um-{V-YQ=uwe6D{)wd0pKau&h;mU6~{|x?fqAhsZ z&#I!0x3CMEn(JN{^2iu_(_<^YuiQT}vd@fWiv)H2`dlOH+uQ+z=Gw6?cO&a4o8B+I z53aXhEv`<{#2ZIGvRx8Gwch3$XpcIt9qj7!1!~2yxJ(`t5*pvoG-yT#fm5$aWRE{z zddB#qziz|pnKZ!FGJ_Y)2G0A3x>~$-A(WdsNXHQMvOc}sm@Cj(_c|9i&T4k(0rVlB zL-BwIKNEGqHHyd~oSLEG#<1h{bm+B)EZR$1bmJ>q-DnrQ5B4F)+ZxHBw@=EhsogdG z%V>qqk1NMENtM)Td)t>Jqt$0n?Y5SXL|u50th=oRBR{G^qu?-Xn||)CK;5{MBpc2d z-|jgdfv$iIwp>>+_%`}*S6HbhnaSmdSMnn=cD^W-;6CiZ}7uaF@5 zg^8FwH}6J&D@m^jPgqPlq=RKopS$fv_$4p$i$;FKH16rl#4LVpNs0u5#B^%8bM6rd zgd_7EZ6Vdix~h3So^j}$U!2oqn7=yh!ohXk;UvOsQ9eG~Y@QGe{^Lh78C?BhH37~~ zu2j(|ky}p-5Xn|wJR$>QRfit}f33Ct$oEv7Ntb*uBMHD)`5IzyW#p1)#Ndu>J2I$-iT0#U#oR$v`#8mu0NAf)WjbUd$2}}qj-f6- zeg0Yf(me2Ap9h(a{_q|4#A@K%lrQ$5yAkt!v%!J)j8j%P1s3pS&Rm%g3)hCX7b$S3 z73T164%UV(8JX|ZhLnUe18={y=lF0=d3D!`N4_6xQf6tUA^s0IdZSy~-19G$)o|xl z$Zk9F=fUc?7z$$N9jlioEK(cF7&rz%q4 zH+-S6x(7+?p;L=Prv%dl;&&OW2q&01;~{z+UVm^)ULV)>3j7z8(y@YD50!MYel$_> zZKGQFLvrXkb(E2z;Dg;B>+6f2@7`Dk)!(;j)5Ao%QnBYonbF6|vK+H!$RQA}MdnOd zDI3laPiMUYjJ1lhCUB9CPXFo|OUIKqfaSLR?|g53JmUMM6841yNW-!|0Q~o?I*a;( zx3Sy~h8N@tK<{Lzm0Kr_+*l{j+wSZi*}KP`C2p)j6Av_u7G41PLriA4nt&uoVy3mk z;=dFX?G$qV~C5y6#do(P4#G1-$ z`R>B#2c$1BHH&1tQcnlU6R$gIv#m4n3=lZQ_QKcQz9%gH;~#$Yl?35l>Q+#`jyZcV zUgaN7E(p28pL%-)Xe_RA89|4`MC=ii?IRZioGtID3~J?&_(-f|Gn0i{wQ7L*`>}oA z(mX({w&vOcpcrnm<%Uc<7}GmsT33%W3c0=G3GW>GfjbcSBOKf95gH4U%_3Om*p81Q zh}W?q=OY<&6)sXFuzlhX;>FZy>kIXV?bLVi(*54?;| zEZi>N*I4HjG9@3>Op+LjNs@Az3il$k!}yC^;s;uL=>?Bw;sYEub42v&Kn5(CB=C9Q zmuf65nm>(5sTFvdP19HH72kYgS09lvTArQha6A;{_6WTGVTOW}#9+koisOgTAlCs2 zkjh+|`p_Vy*dwBUzyMw&!>DaBYOJTyT;+t*hl zoMy25c25`8L6FPU8<=Ckn+kD}=^;%G1%kN2_5*8jYrd`<^IY%ucueQ*8ui(>I>0+)2Z|1WYNPhM_D!wUM{d zV!uxfI!j6eRyu>BTni0`Vmh^j4wY*-wG*;gd0fBI7d(){*}iFRfS;moE#C-3LY zv^J77p`8&P`Wr4(54i>!nCSJ3vMDi3dk~up=Atm$AswpVocuTc0`jR<&knoQ8&K0gF2=4=0dky!e106k;#m<9Jj@lz8bBgNh0l=4N~c$3iw`AL#TPOQe3hkvIHVwP1pu3IR+nxOzPAaU2W7&1lZ;}O1- zS~_I3K(O=;M_yqWpE(j7<3A2X5c$d4P((o(S_@WhtAF0+*Q)nYf356vcxB&4e2HmM@PaU#b^rK*5ah^I#vp9*jzuNMIv07aBlEU z6_*?_d$=5;W{_o+jW}jmgeH3y!z?oiz6`*}#pQzMn`sK=7g8BKb^vCl9x#Sg8Nmq= zFpnCJE#n+rk@aW4`p?aAjO^VpKkvN_qCIfrmiQn5TjEN!_zHeNI|ZOlzHnhP;CYh( zK`((k33{m&1Y;BKQok|ws`l;bZY8d7RMnEb4(s|IVt|?&PK_I!q>_betr>9Lr2ZON zS!i$eqC~eLgTX$uAsu`^Aq8>lS{DP-k@0oSuCK~mJ>FP{GgaBUXIp2Ngu2 zZUAivK{Pf1$b)9$7g(fXng#2_k*vukTag6pbX+X8NK197N0&1<&0LMyK`n`=miXFj z8Es(r*HpWKZSb4{eYJ0ol7wz92~LomB`0UZok+OahG5x-bfpRDeTuj!#X{if zeJjYO>N5vs3`@wNKBXiffPIc|s4UFdr{^gXabciISiGa;Ys1j)MS!{q{W zSNeUIjxQQJO&h&8)f*V;7De2?_w3qVo%QU+No(%Xz^sJC=jj#`7i*5Ij;zqw`(nd` zRU&ge@7dM%>PUy{lg;P*z7I&&J?U4E|doB=rZEM2bw53gf78o_H>)DqI) zx;La2P-%Ep*mN)g1aV%}GmC}{)r_maO$leoS?dAiZ5EE0FARvLC#z)HPopG6LTv>K zFWWsuQOr9!Z$(1I^Bw00+MX5?3Cx0!AYVYzHizs^iw0}HT|u3d8JLIem37%W@uaqb!66kF6?)pEuGwKh|Z@ajrI8W3+eT8P`&P$+#1Y z;kH!Q#jJ77Y9L6qO#1D%0Ps-p!YmIUp^s#65BQJsqW;u`|MdG`eZ`l^12FKAIbPo~ z*9g`?#;=@KFvE;@NB}suUJ~E_k)60UvLMN)U#D#gX=GAK2;u-qK(@bHKI5F(oQbV6 z43{_pRf_*)AdQ(cb?^+7GG*Y%jnPN7tvB%fnb*y}y_Z zcqkW5_dw(ujretdZXl726Z&Z!Ssn1p`z?H?^X}=CFYC{w)>-{2lKmjVRYdg@g9{#G z5sY=EeQ((UmRmA3gZ^{JAkp_>8a#QDUJ{Lh^Mng%kuwO$d-Z!H~=&t6Dy6+pZ`Ye6f=4)QB%PK(0!yXL*!SBQCNX}t_geTUsx>`i^! zt!&5!zp0%4Zug$X_iN4@LI0t{0?hsN>ya&T7h%U49Q5X#{W<4ZQDz>cUz3tlRmGmK zSR45CaUG#Q)e#|NI~Q#4^L+E~v*^XCIu_&hrr|^UwE#sR zEdrg%9E|v`qza;k(5S#4^%=gHxvdP7$Z{z*1st+V-&OPv%PslZ=Ix4R1hrJe78o@J zur{a&-;};M8K!bF8$zB908ArGLC*$b){-#|la5Ls;9B_Nq%{i4C`1pms9Wm89&5x_QhFd6cvLY*zDAv2LTX3KWejoK}ReWz9@_C^{KbG7USo?ur;Rtq{f zwyG$lbg)u7V{e}G4fSX@3n?7kw?pD19Bfa{Pk!S0QR4sPCmf|0xIz@)6YF?9{Tq>|kCQ=Z?+9?HAgWK3JaHq(#}88bdekpQ|J0-gG9*s;cHn~r(GC^kwoWtenS6b5(g?|(H)sY z=M5bt!KYCW4rGxgi=AQOo_U9oybFP|p{WQWKS-02DAq*D9Z{fN@!?oVb5xg0@5;qG za&X(;rM33V!P$_lMV8TDRsp^#H+EHF+bORU6VO@pyMY;8vUMjP~ z(S6}yzGP>`dO=J2e zGP!3<5>Bq+Y*gO?ylyVaz@55$&O5y|xY!Dt6XpXc_ZTT&b-wk#eWlU;78WRULg4Ab z2MSJjU4i>WATYEGOCpTC&`*K{;5okYSitf{DC?1ogpY+2#0gn~bQby{tjS|hLQ5od zt*w{Vq@P7mB5zHw8(9~^YZ_nvEQ|VXk_KeqrdH%2r5UNj<&dXZ?UCRFFJ*Czlg5jz zzx(~WEuQ$Tpv$;;`E^K%JuAFNik`6*YjLG^U z7H&N7sq#&u+LOBHGn{-tgmtblM{F_%s4G0YVBoQbEAExAFW=G}J@5gwCK6V@J2nT7 zoElc*OGz=4879XNVM-18A2?#7EDl8tM`#X2Ft9eicIc}sgJWbFP}6{i zmVdILy48qM>s0yP!ChFRwq%=p4JS3)6JWm=+u|Zz@U=nJ^bM$tZ`dzo_6?0mxqELN zNx;36x({LeHJ}ZHubm9gI1yPtv=xwv;$&gyq{tNRN7lJ-%i_#XrBu?-q|W|2c1tdpd%wdr@eBRtF9hh!u`6A~XqsS7dwPPrQyZIuWLqVgKh0Vx+B zNX@3&19SoVOqe{lM458usVbyM2ZG{%PD9D@7<^O6c0S)l!hsI|iR4}rNgW-I1mQSi zBvy1JUf=b6t5ryF;01Apd%YMg06`q#b4YUZqAboFFU}C4oWyv(&)gtDMri&E&K_=l zl88!&Bv_(PV``L3Hi{P{NDj!Esj1NbwMcyc8gUYErr+h8j^;t&J848>juUET;!+KX zPijY&(h?$ecn9Qe1PRi{2N`kjbb`XbODtMa`#teaX$+DC57$YQQ0J4xMaDgs#D$u{ zJ4vW>B#h9d&$xa{qL{3Pm;vu%-gW)AiRMK?x29=X>VeDNE?*!6@<Q3LEBn`@Onm8+(VAZ!j*RkXq+_lEd;JT+R?Hx&oObQE|CovYKb#= zni+i{^N3VYwVXfFm&7R}C-%t((J*SbMpzxM7WY|u&a^R~J0Yvb3C1dR8AY0L)o?1^ zVbM)rOsx^T8JD@F7#&*7ZV2Zi;Qa-6Q*cch4AaUSG7L@>1sQuPF=C**#E)AOX(upf zG%f@F2r00beNh@%e`C;iwWk<785{)sllF^Hncl?T2&!lBx7dD1h8?^FNPnj3x!aX| z8G>K|>ddA`I0A9$@*26d=*%H~p?-7*98k^1XEuOy_EOkro4l#1qq+%Ajq7UCcMqiZ zX#Au^2otG424OM~Mgt*&4~(>LAJ+Z{Y2(k z{xq~YUH09h!-))q7BSn$g4rYko3lE##hJDWJdsOir-s`Lq|+|w!zFz>_2G;p#5B9r zV|yxY&Ym=Xaoy7Rd&0)Y5JY^uz!DkwjE;M^9#86dlRq743`bFDIfh1C(q&s{k<3Qo zrcU)EE!J@qMV^TWB;d*5-?fC+>@cO^vRT+q{f78xnFRNp@rEIxwK|)Oh#@}Lw~}Y0 z0gI`5L^3Yv>YVh(S+!$tTLcv5xXYo@F(5rPwqYi$LXqu~Rf5;~Cw6d0XsUt_d}(kA zG#6Jo6-cL+!cAwLgKX@_x`brLksfA@(KAldJZsL+X|WUUEy9ObIW)tlM}Tdp>xe-b z)R0yqZR^k^V9=3~fy_Oe3E5x)40wgxbhXFZMcwwWhS*z&EbF|bDGtoFE9Y1lF|q|x z;Tr*-N{wnfhpdn_{^AR8-qMOiPDZo3!B-Mlc-6lCVtyGWB(>nSlo$7+nqSs=HQu{<*A1B8g^}x z*J(s!mHgUkN_q_1GHQz9-&1Xm3-L1iIA0ZkW4=M@0xwY2pZrxiP};vk3*7mUr$R(p;ww>iTS4GWhC=;X-pxhULT*oO5#knsnPotu5WVe%EVQ~M^^EonC;H0X@| zw&BQ*^dzN5({zGNs57VQbEb|az-A&viXa_(JAOZCoFPL(T4V)Zk^GHlO@(=@9!Zbm zcNz`GnJ!u$%1#h@W8L25=4u0?q@;sGJuweA(DBcs;yc<$p}1mOk?(ZJUKoYr15Mjs zcx~Y!Mf#FWKWgX4iIuNe1=CnWGr!*nRZ;uHy2kU)x&bH7y#ksF-c&uF_rV+JQLW9X zF>@qrK8d`zL-ZpsSQs8t6MI&~?=eE0I(?^*MEL2+=ouLsycg3s${?vAipLT1UG30o zSN-9@SLK3w9gr2d1y*KVwls%p_>$^&GZ){Arum7-$i*aybfof;&Te+E-xiO>c7Oq3 z@Ko?f$G-dFa9s)5P-C7zYd}7_ZU|A(&4@LNZ0gJ`IDuN-PttS!t>V-=Mo%np6J^fI$1iuSF{u8(ageyQzjz zZb8E1)m&)*p$6lE^NXa`)B}753A`)1p4bCq6>vp$Ss!lfLtM~FJ9ZWKJI~88NMrrh z^-Na*S3*`fKzETx)aWr>%?_%%jXh4+dh90{sJf~Oytog&q#bLuf3!hhh3ROA;lns3 z(qXPAegH?h9pIS`xE2AS+Rj@JUUhrT549uzjC{O-Pm0T0z4flJ_!oZg%b~&_1Was# zg@@M$b;jB=_z!1d^?_5Kx`+jsz}{1Q8O85`YefoY?F11{-#s3@5ecC4lh9^Wk{zY` z`{XVY!aM`nAZ!VjjhsKpMMzev^C$Vp*+ptY-+=WuFb0>*$Lv$#gAdv`6liuDAwUfw z@tFNCj;OUK_&!bdV!oHq{_ryMv1JB``+)n7O>9?_;*)Xaml!A~xL6$c2T2r0ukar+ z;>R>FQ+lpY=aS0aJ6&GFzt!HsEDbX^N?zgH-hg$&X?c7ER)q+^D%uTVKjn%pW{iC# zs%jzV&`si3cuwONL!_Z+<_t(B`wigQF>pcR0)3d~mvHm$xQ!_YBJ@1S42*r>d+<4r zShDPS?9r-tiR({(#e5}T?$LOUHE~PB(Yn4i_lpR z6@STVk>uq%c6ZS#)(&TxSh7iWx>-gD=x}lqzgY643@#0b)CNXYshgMzV>4Atyp-Sc zLeSupWwv5rXXs)-?Lqm<@;207IW7o#Aq<^Q!nXEir+BGLyUn z?y|A#Yu1-H6hZXoj*A{XOZ<{7d98_b$ft8RM1qfhpA}{{NcTy7_)^c|RB&@v!8}!r zw`4UW!6W;mlE-h7BR`|1E32O!83J6mPAt=9f7$tyV-L0{o@+oAJ~4rB|?f(L3b z8A+tqQI*pdLLVfgcEnDWIa%N!tt378V~*waiL73tlfRe@G1MsOM8FNC4=G~#sR==lTDuxHx{NU}8#^56PDrX2=`8^~ z4V(xikrpf_K8bZCVWV+mB9U6je{rYa+u)I4LS(2yx=eUy0IUERQT@a^<3^6Gq?01+ z($;@DLFz z10W=5--%LdgkeX7)Nl4hZUD0fBJtE=u>m`sItSmj-}qJS4kEE%_YaU3Uz=XZMA#_U z>yNZC6z8I`AEC>X^&@HJWZ&C}c!hsdMGFY9_S3h=im%GpU7Nmb6>0CBk?jJjjGws> z1B#Ha-M%KGcQ%;>MEZPHWM3Ts_ok|r9m$2j;)_>2gU~95U)png70I%oHOSRhvo5SR z7WTI6$s{3!yc`ttme(0R(*%pN22QFa(d)$Ur+io7m2>3qJa4#x_8mueQj2Lv>gXpr z>x6xX+`3i%La7&6PwhFVr|El(V=B)*?xTLGhSBC+KLTHvCic^lqJQ7nKtyHEaNe%_ z()rjQ74TDNCIPn@C-*Qk!-E6ur5urEA2y9GNhIr*cQ%2`=j|spmI2J|vd{N>o;8PEBQoUo#-`s@ z#nY*{jq+Km-{MFg>WJE^77wlkZA&}E7_}4O$GmxBD94ug<=0~SL_b|vu++GkY&LtB z?`GqbLdk|SXvZlIct)?OpfOlqCJbx+BfxNKG{>fZG$XHPJTN|NzHLfh)K?8k- zW#$gavoY~b**6;=E|a_XBWQ^H+GY6|s;v^0}js1sb%9#|cIvxn2>vBwlVqHkrt z!CWCZSIE;zUq4|DACU5TSJ>*2(N1}!`x8}Tv5#D-j$J_w`BdOxE5GOo-}LSCEI-yy zZN8@&iC`(+Ja(>oQZ$AeB0H(}i3%&)e8-VIBVk3U9+6(NZ%1Yl?s6eZ0MRaX`*;#= zDec@(`RBjwoZzGgkcYa2mU9?a&NGc(uSZxym#69U9O<)Ftv2#6{mKgwE%!J(@}|!! zXjvG(_js><$2ltB1Ih@>Mm$7BAk*_i!CGYO06!3s?C)4VC8C%!rN=`&1Q7*}fK}+U z$y7^OBG(vH)Aw{}y1u6gVj&1e0ttaY2BGRigU9&1@14*GUbUpl(j?JH!a)^qpTH%6 zkf1M7>IRx55t0~>k5Ktyov8w#cSm5WabKt&&&8dd5T!zt3`BfgAI!TS5J}?2z9z|p zBppcjsgXvnL8e=w@ZLiqBxNH^4T@~6L|nZN^=5-{2}HysV2n#V=&WDZO^Z={o0pKHSzp@wdSt{0LlLX*UwSLN*Z;(;rn zIwR^(s3`(X5sVa)X@;y7!Q$0}g@(ar-=qoWgS?m-z(?^(D;TJTb#6=zvF%8Y+8${R zW+H;XO~{0aVv{DG*Az~RgC$HvK}=S-5b3>v?58QzYuJQ%d&p#ryv&b0O{3SkpE~pK zuz+?sRXnL_=knpR93>`EW)Mm9&f7zMMVR%l5~J83sPrB|8vQ(MjrN(FNkU3%rb$xk z`-9gvnZ->M6t^hWN-QSA%u+*qz_4g-(jP8@Zp4$PzFcwhZuNLY>&~G7Q6NMa3PN# zI5{c&5PbwezzGKCSC~EoquX{%UZ3e!u*#LMYOHVH zjMVp~*n9&b6VTui108D2F@Y$|kDq^53u1Sf!_Xxy=*)THY3Y#OxP^BPE!}FspaT?_ zFDWb|6NfJ}?%kZyPEa7#5Kwc@aFAToA%gszt z8X>hZU(CicSiHyp=hFCu{;J6C`jXtkaM6A$btE(JyVy(!4w13*d%9Xpwo=XWA`3jJ zYzB3QM4|E|S|W3>0sgAq)V8-EW+hyAQc%~LdYID<2=jO=UK4) zhQ^C@x#n;q3$w@0Gi6)Oa9FTjA{QFA>r-^BwQP&Z|pDGlK9;uU4YUV zIi^zs4)T7E+zC{j@m@Y8JPzqh<_a<^oOTH07&H(c(N7lZ`b>-#-vFR^DTf#L4t~kW ztpA?O$Zd~+)6PEBv~N~5t1}%OliQAtn)+l5O1?9cqbYv2G$O@EJQjBFR#m0iAVF1G zFmSx*X$T=M-Qou0qSyllB@rj93z9wsWI#BXS-5eknwC)ybg2D$Cn{16sp1_S$<86Kn?vzT!42{i**I1jhqxW{rG%cU3#`)1*t zdPEB50swH;6lFa$HJUY5puTZgT|ZLKs{BzsH<}!OI;0NDO#sZHxH}VV-{QSRuAcKJ zE`QEH72A59{YM%Bo21*^&OpNxx0Rhb)txdb__Dd`zo)V2fT`5f%}w(h9`4p>gxtNW z7I({t;eKX*VFTJD=~v~{r&8hWb-iR)Bi}}|fon5O$f~`SNCfiSiYZQJ1IeuC92Kdn{;wFawxePvX1cP;>%n>f2G0rjZwWWECBX z^QGmvWRK?`8I(y#wt3=OfWh?bFrX7Eb~B^An`$o_s3B19Qc{I1z&%oNKMsS`HQ5ub z4jv;z)K7!NjYA87kG>rwUKGc1GG{*duf%YDO(Q??tw;#`DD~rLMi3hWp_8R<8bm2$ zu~Kl9%O1QjFT2M%){Ji`W5R^L9+1L+UE0yx0i{S0REFapO zr6GbhAHtUz?UjnU8QJgNjCEj79u$c~s-7DLz-3?pF97U?H*33R5QI+XMnM+F)=$3( zf08Gx z;F9lDU-ql?nE^(5M<42BK&wcMBLJlE2u2jh1h>9GVhkPZQ+ClH0q3(InEo7u(xB!I zAI{UI>f7g0Ed2=vbH)GwGdPpASNa;5qd;h;Q~Q0!@eGrQK`i-HZR#CgfUY2j8fcXF zvBzqoT4*;a>q~8ce3P%V|1Zu;DG*6OM4IJPs~nV)6tOh+I;6mn88B#p%vS zaES{~UwZ%oS_2=ACb|d{7G%!=+DJv&3c;an7=}VKmQzR4sy@brF#1O(+y%MFF+!mz*M#9ge=pk;+mqudG;&_ zs&pyAw6i*nd?;zTo~bq%DNltl<-CQ!vDZXQqz#XgYD%~%4Ds61v~-OE>fp^T0dqZx zES+y9MsaA6*Sc;i1@|vF<;VyItF2KtjJr*S!)>=Z(Y$fNX|n$kSakftz^Le5({DS@ z8A=;Dyi5^%Ab^g}ffk~r0BDDNmw;N<&NbiKojSmE$NS*Z|NVz3@SKQKb>*hU2*+NTOdozZar);`jdQt(TnBWd3r)xL9Lt71eg`%?U7pLh4A{S2!I))}qiV&0Ee^_!8~5gq;n4D|Kto z_7>g-Gy{=W)@WWZG%vNZ=Ma*b?PxpbZcT%j9HX#52q&334hWcHzh5iv4!nJrZLR8N z@A~r|iB0bsG7gXzQCWSPa8c#ioUrN05VB-!W6agH*%X@-){kM}zzeo!6p*~l5e&aU z%&;E!fpbW9R+FC)+=raJi(+sJ=F3B%uu=!DzXi;ST=8DZ8C&IDp`im?gU7KMKEh@* znD4o#)=Frc8T5WQX$#uE&^8BP3}2{WPRmKiTkZ=iHgXLI#}Ht_?%>B=U(Oskj|VhQ z7(N!*RbOt+i>xAAa_m>~rjBi~6lub8Myd`$v;j>wrYCKxE861=#Jth&>aAqD;>OTC z;Ep7Bg8ew50R}W+_pY<`F5xw87Mf~RmZ_;>cIoR-fzb~W#$ml zhEmw}-6 zv$tM)Lha{OLCwF?1l`$rwd*-O*kaUo*o1d^*(sVWuJse7w$0%(%lXqef)eVEKG33x?JlLS@iPK*{C+(F#0W@;r$UI&do`(Xt+W^nwA8|R2#+N zd%8}dJ>?x!b2-|b_0*BLVqW2z2j5S(PJJvL*nLNUmfY6K7?9c%vi#G9h6D%pw%C`r zkFM*6CUN~*wVGb-&P9Xi*>0Wc(voRWZ@28@UsbcXVjWV#3s^Uqbe^88F0NGdwFVH+ zueFQHAK@;Cfx1JDVn{yM`qwc~N2s8 z8hBP@#_J6n=5S`E1pJXw8WT-w#Rf?_kc>O14!faB)u~}$2nh@WkYf^g)_?W=H;;u8 z`zPZOj%l`x;3*Awha8q(0Fc5Va4i^Uo{3jWB#J4}No5AIY#>{73AlFbxClogHwgrN zupT4E<}_n?tbsTf`$=lV5&BaDSHrB>6B2Z38bwCbpoWB6t*x^qKVt}t)Tnlz=O(jIKX*B1z*XS!8i4TJkPJFArcXnOtqNa9uz7w)%g6Jk zFs^W*;j26xG&uWDIv~ttUoAgi7c$=nP4fn_yR}-{>^SMu8VS=Zv;M~SO&6sFIt)kI z&Zg}YhdIT&j?-165}Eih;z`SUv;H{l{vSA$Dvn%ZTKn!g+weKI{tDZW*~Z4S_kCxT z8uMngKF^_DX?q;8gWna!dtx1BP87sJXe)42U zU6-@>C2~$6XFoNfbKx7Z#@2myR;*2nn8z=*{wF%w5KkymQ#3c7URX9%vO_L;H{dZM zuAQH+Sg!y-+%3_0qxv1SND@-_2(p@zD^!3spxIsCkc-%}r+GNC7%t*>Jsp*8mBV$V z`23$8bQm`?$@`|Z`9%p%r^UXI^+Pkzo1Wl+Jq$pkN5$wYi2l$(t-D5Djh2MJ6cxNd z?ZLAX@9-}QARGn24|8JKY{~ALcYsb}5WP z`tNc??!zW8fW>hIN>O`7pytgv^!%`WBU`p_b89;5wYuMS@LVX#s3_YW@%0)7hacBA z`H^!_edj|zlWD=dwuTf3j^c+L zB|mFip+QEeDI*79X#H-N>s~Dy^*2fCito1JW=Wr@Ikb36zTw78wYKir?6f2YTT2qo zJLi};+rH$8-liraN;SYpcQn8O<3Iuj*$b>ALe{WQ_&yn#wBQcVak%kTT{_&I(+Xo! z)~^h5R|4pXi(K^~#PfuEF7c`QNCq^H+k6j$1{MMtIzQH)vor%qC}(zGsTp!_tpabX zK=mAXdj?Rkv(L+dCs|1*3a-_*O-?rLjhO@*M{v#z-f?`!vd^W-`lU)WcgmS^}d z!XZlSs3s&vfpbAq$UUBjj+coR-Pb?(Wt2y)*GA7E1h8U3s!!}DSvmu-@Y8{EEvSCb z&;nBFvnVjm(r6&N-|3;q#8O`vW?p7$k^Vq-7bNeA?i0lk;KB@5V4xUqq2OG?o_JcF zOR~^U%|q>#rfHc|f3lhOIErxGBRKy1pp~phaGE3E4SZ91%wCqCuUAKuASZpcfM9rb z$h162ag2g62c1n%>~mjI3^2>fiOLMEg17YNe2XD-Px zjRTDnZ6G2rk$FKwmNb;yt40!sHv~5@T;Ly!L$HG8A-E?FNhAub|7$IU%FXGhZ#Rwb zd{!NRsvL#DAwEmssRfA8jvYF&xH)PdqWSH_PWHfAJNdzRpK~DT7KZ?D037ij0w>6a zZHssB8$)~}sAS^D*d82+5j)WXr{Y8kmwnD2NH^zHlqdRpW8`^+aUj4wdPsroC<%Sx zf;Sb@E0?+*IpIU>TEFoZzWRzcY-d+A;+wX)@s84AGTfZHDGr$JwkjI&ExI)IuHSM% z!M5Jz=Ix!c)8`29OA^#57!GtcaQ3}M-3Byi!IJPDweytgS(Un|FQNCt8G~TVEOyFo zZ)^y=>dd&r)+5c6x(C(USwu4)sWqE$Z|CFtGd{jGcq6}^LpI|OSsH2QZ5$*o*^EPG zG5Y-%(0lVvB$h;!lUnozJm%d9tL-5C?#!bbO)A5{A# zOp+NB4=w2w&|~TU>I)bR@GF{8VBwAMjY~$~oz2z^-aq*T_Dw9t6LH2OwA2|P%{$U0 zzlhCjh`rd_)-~?yJI>kqC5*h;K>IQ81MElrW!(y94ax@W7S^Y~h|z46e9!90epb~R z=l|^bX=)Dk6yQIo;}^17w8pjcW#`-2%&v?kF8=iX!#2X(rm*%h)eQ=SRb-h8%a?H) z_Fc^?v<#)`8+*6?GH%1(sksH#XxF}p&EzKPn|!>;3cvr=S7TBO7^mY^7#S~$1qi@v zyg=Y`AFmxl@iomwb`SWq01k5t8@O)Zg&e1m%ejU^OM@|ueC}bI7Ky8d-z9qvn8<_J za3wx4T3nTne}7{S(Gnwrgc%G<@2pD;eR%q6)}OvQRoD&mzt&zgXMXnOH>3R1MX^%} z>4c;rk1>u~!qW}qjAw$JY$Hdr*wDTg`669b+cmcZQ||J>6uq8V7bEMr&0!$Z4%Y*T zZ!-G3vs=_>BX0+ID?mJtb8v_s)melF+r^QrIf5V-#ei-eX-EmZ*+pAQwC6kwRnvJR zT{O{Uv$}{xoi8}uZkos+iDILHo--+05+goV6&X}1qco3Hfn&^6Gq~3gZCq;k{gO2?W~gC?|M*PzLa-iPz{Wd>Dj#ok0UCh}yG zaD^mu;>3!5gJfzB+dqad`Tl;O%B(d$k3;?h9^@KtigzqN?Gq*A|ZUa-(q%KLFwsF>IE`C?eBq ztDKuUt0Ncr5!L%Z>xI+s9Gl+mPwJ{B7W8}g;3H3%#iq~T#RA7#T1EX+e=4M0h#+`G zC&01o6Qlaqt;s0#9{>puT4zN+7wT{*W(^6$2bV+^0l2o<_vgY^n|xNn`w)^fh!BWC z!gY@Ig-!Zde?A}y9a7;%)<@Eq&o}$L9Wm0#>cY8pYG~4qj-IjA4lEkZfU%$&dIEuDn1rX zZJ!iP6=_E@{Z6WL&B0jeQka7sPel@|`TVm3(uFEITM9ArXnPH&B6PG>^`=+UXIs_O z1Vbu1MLGkVdw>g}!=#)IYXaIO zqLheY11UIt0FrM+Z2GFBWubO9N78xzJ);q1Hv{Z$9K3h-MfcRuOaj6&@ktWkd{uHC zz-(5UGhi;GHN++(8gT@ifZP)PCHCGUv-S>ARoWva!hxO5*qPwcL>CIW^ct_hLr{2e zKGp@V7qF(`a?)<0+j$=2OaskXBD3Kwns=ty=3M`mDLvU)V>B?n<%m>?R9`g$E$tS| zg>B@EYPUzEzG8P8Oe^1MkE%y?xPC^=!dgMvE__x?B_}U3lBwR_=FR7yo;iaqN&qsZ z`>6i(kL~tc?}|VDsk3cQfO})~Fo1+mkxpZmOVW9w*lyLPfYXVs9*ajQ_W%5V`o>V; z{M@p9X)!aNamR;eg~0h1;f!YlkRUPGGW=(DaXBWX08AMi`Ivl5D%YO2Iz*iw=rCEb z7#=e6lEGaD|1&G%M~)4GMmu;bFX={W=7f8=)nV4fHH+2cW z`qv0qbI)OTGwA_ffVS2I2og}s&f(%iH`=rPw%`QAwAJe*RRT}LZ-DS$B-PN;x4$W=l|4tOA}P#xNGPScqU9)Rvx<{Pp(i>AB{;G%TOmi0AnPaHbdu{&$;2diZ*zNOXo{pt+8V5r6snTs%y`xufrF ziF`vnqJE$b~1oL%{zoC(Qr{BTbG&!JEZulML@UwoQG3@NPTPhn%zn znksUS!?M6LN=3^}9U0%hnjmCZ8e7_~O1?>Xz1H-3S+I@LNiwEI!n$1VE^w3CI@^lQ z*c)lIHgdvN`7|p#L|uGqm)xZWO3yPb`h8LvIWM=3go~wUquU$M_KK~nD}FxyvCXit z#YK+PUC|;Mq%*UKbMo-_vu|)$xBSNQXhM|5rl+mL`R@0=`v>3s;dg)U7k~A;fB4<+ z{o*e<<1eC_QNvW{1WAzMfy`qMK8wF>PX$Njk@B;3zWaN`2n_zpFaGj(fArlS+Vmgd zM!f&{yZ@R#{nk3)*iU0J?vX#m*!&TgIL6N=6VHp0 z58I8C$jRK)wNC0!en&O=W9@J&ew$nJ_ld(|iJKg z+aQszQ%$CAzUk{(XHxXb&1DMEhy9 z)(GDMcRUl2oEXbXXeEr_IA%d7ge{5!))Cr_ z`eej%OrI*+&KM1;Py&uZH6~U^3iv0au*&Vc=`Y-u$GY6&QfP=68x;;AOV9yzp+oc& z_o2MKx0-Wn=jRJe-4?Aa8qUGu;2^y=2vh&fKHuat@Ay6}Ba0FgLl!NgoY_jiS$Qe# zKRYr%2K+0tENw}H`-INq6aZE;iBkLB zt2T89?5HsrTD{G&ZcR_jyVQ`H-a)M)b&+#mOSm-dYp9m1y0t?c zzDKG8eMj3(d!*WW;Egwm8-_ie^dE}@pxH}hXqZm|9EoP~^O4d5^$oH=@e2@cCm{I@ zQOo$tsVgLv!=nT*lE6A5e?uy%ue2 zHsAA%)|(Xoxi!mD%lLA!L(ocbuGofj5O>K5Z|6(`nubMt>FJmEvbN43;H_MQ=d8=*(8)njVaWeICRo!I01y^ZY*KXgt1sq0BG-R<}d0U5oX zk&uhJL*M$1AAa=}u(af&30J?zrl#3hvEt4LC{%a(w!W0?BPzdb$~@me-s%8)LV^oFvOBP{srYh*ib5ZWd@R@!hC6`WDKDMWi z7KymchpfV+CN=6&wOi84k))Nh7*WrS8rDAT;5@2YV)sa+gWWF|kPzaI@6EbLDl~HK zd$V;%I>Om6RynT}HK|m4DH=x5S^0InB0VPCTgOk`>Q&mQ%lzyPgT6$r#&2xeqRZQB zZ8Yn?V^CqnwY*=wRqjN2enYE`TDSP7;?%@yU(kM9)wo#$mzOIwcfy-Qak;bUlqC> zP!{Ln4Ez;b#Fto2h^8)(c%Z4B9I8au+qqqR{(U@|I*AoHlUK(!C$VuV+9xWHbcRl9 zk+#_*$bvLRe7CL7HSyTh@JG)-|8CtQVHF1>)_WYqP0d+XE999X{o&BCuY==Tv9taB zb83N3VLZKU`c_^RH3pF%wTpX952JMW8lFoWO>j6P3J>!6)F!kDBj=b!eQ$x+ zG1hGqil0aIA?e{Iw`ks2eK-w{oYVzH#0IorvV>%f12NS4F_yPn{;5wwHRDh_Z34M^GJQWTsd9B7{`F@Y=r1y|Lk?vo*1X`MPkBqR9D;z?JN!b%G4dP-#`*8ov z@_uv=NMk}F8JvSVj3Hxg1qMsk!q)itXaDGTYuZ>yAC=zB$1a!+N%lO{j&Gt5`GNIM zzxU_#P(MC{XZ#HA1>Wqz*nc1+>s=b$J&ps=(D$at;?$o~+j=3tJ>#){d@=VqQEnQ& z$MxFoW+PP(8yD(A%#k;eSL~hxD{_nWBxz);u{7XQB|ha0@!IGz z=mAarRzRN@r6fom#ROe#tqi+La+!8}Bz=Om$VLi!D^=36a1eEwGc0Y4Dp{=;Af5O%4u)}`k4tqFLG7jemh!2{yH(&r1AP*O5k=?Pa3 z3$c-D63&Hu$E~Z+v>aQh+PvRqQ^D)2P7nl5Ce}umQXJ8t$A=-7p5EzoWM<|j7g*Xo{DSU$>yZco@TJHIH zgU5h-MMI;8;P*% z8#>%od&K1@ox1wM$0)vq;}+SCi0ZSOzqoX(}LbkiPESVu>k#u%%zf;%imDK3X?foj<3nJbg)dfB$81C&qxtp)@KHIy;vO|FO{y1yEVpQjXm3u+KY^) z$aYe3PD`Vv$zfiX4=pp%fb9hQY~o4sfI-H@Q5QFxk8hw1Osm}Wnd3q#Q#zkTnH;2*c%U?R0Yf^cx=JbIdAUk;NVrRq-d4e z+U#@LF6x*apkpCzXh5^zD2b`f8g|K#VTmCdI#Wdh z6>yQ%`I0lud3#nzfp66<4t?EX-w!=Gd#!j3`HbgPmSpK5D`hUm*3jO_@so)9%PCN; zWCTg`=kl6_ETJ<2=^H*7ejN91kR{`=06?RzuDL3^qtWI_lEYGey+~?}tki^7a|BCm zl2Dv-3QQ;Pa7=O9PAhZFbP+ zB(7Mv%y2VYbDXA@Cp-mHl5iTQk}?*s2nJy`uiof1PvuPK=1hguz|DAdHghx;=)*L0 zBxRjvAZP^74zDMj4FW&Tm@u(C6G%g5)!jUfGC?c|-H>{f37r9_kWbclaFl=H5vXMWMqc(MryQxtw40_+)>=sU>{KQJfjciQ$5gDI4b^zJr zI5@gtUy#^eT6)MZzST7pNO6|V_!%;BNDJGwxTwnltQf-W_Q^>OhsI zc!Guna4v~g8T`)qcPszYHOi(vq%8Qh`=;rB^}UPDrajKd^|H%`G$d!oW9*s2~vLQr>7#vRRFdetT#GQNKqXUC6d;OETpn; z(auO4HDd0F!#uB>j`|7keko~IppU4_re#}EOYdR!#@3K_=OdFZ$9F0` z>qv7qtTaG@gYVadm4T}QKE2ViJ7&0r&Ri|tLjg(b?khJ^73wy7NGMCgk|S;(njIV; z?kk#tN38$(dt>k)PcP(Zb=snY#E{PODHlK~!~phGm%<&b<2#w@YWdVJ|q7< zsnZeuuj7{_=l;}iPDsH*_aVyz3*v?gNBSy+m}sagcsTpaoW3Z4gE#&iI{nioKQXSJ z@WHppch6p4E?4M7S={s`JD9;+8iA1bPNx7GzezbNfaJ$tv72|wVH(sO3j zoNmqG_M{szeoO0-&dBi_0sNBx(h`vW$FcQiw3kTo_QF&3p8n%0;ic+|$s&^q^q)R~hfh4}vfka! zH{3p`r(<h^+}NqtLLDI`V&tl zIvn$Q2dC{8{sU^S#;R(w*vI~Kg3A$9>AW&T^9hBd%u`P0#*SuEeJ&btIO2X8MK0en z!vN8xlYXqL45Bb!we zTKqK71KAA02g9!cZ0iUx;ZI1p%IPFDUtBSGK}07~_xX=X;hJcSO#0CU$Th>PBO&Jz z&@z1qI5`B32oHEK(^2Rrv<(`G=c#_-qt!dl$2G)G?LPk$Dg_OFc~nLhBdN^`=x{of zpMMVh1lRy@tRh}8S>gFEr~wgB&P`JGripv>_J0=M;Z?I80bF-Iu7AwL~FX~`yFm5w>Vgk z=B3!dP$hj08aV@$vF?%Q`;W9X`}RcD(sA6tfdy(nkH|rLSzfZANU$8uLOhyQJ7quR zw5c=&$)Y7z2)z|c6)|xqoiq%-H>4(!0fyTtB#J3-6|h|a$g5bBJd=3?XQHys<+G$_ zfkPB^c3?yu?GT1~q&=>t!-P5rQ-i*#ZL)Bv(np21vnLfK0u_+M@EW*(buc!?qon1A zK$MT1fQL?CylzxuSl_1q(ocydjOSk(4wqH0omyFTou3(sn%;N?YKr^-LPz z4Mj;|CQ0JemBfQdiCE#!e|R||Q**N=vK+n&xYb~PZzLIMB+rjA2v2y-us;=xb}uDD zcD15yjg%4_y2+_H9c}pfDw__y4V^14FNDj?A`5ER@y@R<-@}ZNmqERR$k=LfI&yt{u z8os6Z11FHV3?2)r369*P0oV2lHvodtAq^d#2X#UJnhZi`^YQZ^G;kFpO_pXW)B`mZ znbY6RfwFiK#0;$N{t1H&h%eq?8+IG$7KRD}UGzwN85-)t8iFXPrylrY^ za7SKkTP8c!I@b9|1+(KL_566n6#dAF;1n)0@Van7%oTjYj%0oI@UlA<3p)ITBHtpV zqs6gdCuDnRpu?2)vQiyU*3gnVk?P4KFCRY|UjYMsr({YfbjoH!tv{-*1JPn))SR8t zUY4}})nCyM?c<}ykOHA?hxZG42&9c&zps;u54QvR9j-v*_ZmAZk#Z!=qLF-)IxP%v zeeHLVE*lwT!?CQerOo=ue#ghxP%@R0(W0b&4s*?-*$~6d4fO=!Yl9uK5(qqQ?@&B& zrFf!?3(goX8T%c-OS~7LuAyKm1tacNt2Xdcgk;~vx^Q9?&TtFY^8LAIbju%#d0MEh zl;he%M!}`sk=q#!MSWe=lcHLxc+g^*hC{hPm-D3@!*a8~j)Lbl^F%9CvuprgMdW#6 z#lks2f5huyq6aH83x`ADV9~2!C>iRK(NHpE=q|HcBiBfmjfb+HAhtFAeve1Lz+@cj z!ilrf356LXIsz~|X$x=@X95xiKTeGV=}3^tydj19^WUlRr*YUAPHZfnjpdWYj0}gO zdhQ~~3sLjKj4(Ty3}yA~^}V62BnUVa!-_xye6yrKlw@G)h|B_Pc6k1dWKzhx!%#eQ zbP5%oL3klSR2Hv`U?{8Cg&z%N;{m#@!Ht@)8yuQtRW5e{Yb zf(l$`LPzJvABXh(`bjwZL+QZ!cfa@ArQDRUApqtaE|JbSh)D%q-e1v?)RJv8T%wVl zuQj52v%v#oQ|X(rf>e*On1{PnJcXRp_Ni}H?vCgH-qpB33j*zD&}wkRR_${HYnv5E z2#0k5x6RNroL<|!Gpx!-vOWC3WmFG)s{k%KySU>^o}5l?<1z{F(2>L0jp@WbAv5QA z%cwoXZ9Laodx>1xcg{UHlW|oc5%{=#0l-IP<8rFM=$oP8M-Q*Q>V*6xRawt}^^p*f zAC%C`Q$G8V{+Du!cOJdl>^Ef4;n%Di4Ga>k%zleJNpT4^wIx+^nPOZc2RKonukeud zdtO0=U>2P^daEvU^0?yN8gW{eU9*GO)0#od^*_^ls&^_7kc*E3a8 znX4`JTJ6MeMo&)`9cLF(?1%$ak887^61yd}!wbYN--3n>1}~XWAg9QWIoLMG)7vY= zsdcVD)=qz-0l3(aYZMjZ8~+KddP6%q0^&#=BJC8fbI1Rmxp#?`WV^1!9x3YMfZGEP z4146T1LCWKSeNntJiwzKd2D!K7#^I=jLeLi5gGa7bF=b}EKzEyt(M@HTawkHpr$3Y zM73#&`j8SusR0)W+Y_1^QG!PX$VYO}=%H=EZg{V~Pkb}-R@HlS!+7!djOBHuoYdo^`AMjs(hw4B3M7#B z-HbuixZZC8F;t`*M2^*q6_2#LWO6G5eLbr;yp3z=6w3C#Zreil4GpAYwi3T|arWtJ zeJzx%b{F?DCP*2Mm#)JBm%r5Gu2G*5D@m25JpNTZhLohhw8wSZymkoj%Ei5{a)kHe zq4hO+Tr>|(AY=v5e0e&tW5DTdo2DDym2_gqzEvH5-bh9cp8Z^NWP!f2Eutcd20rFM#rkjC0%fWk;M^~tN>D%s92f$`xY zN*_F~2&w-iAIH#mPfHWOUB1Q}cowQmbaC(#w{1u2|h%GvO;9LY( zo4%K5pn(L3I2R-iAk_n6D76&VWVrLXZy8w)dWHz}kcL_s+7{a&fAYf}^MvLI5&{Yu zqY=Tx5e}Sbj#y8A`jv$Tf7y$9-UF1g=AY>-YHLAVvI@%5ZpwUXGFLMmS@F=$ikr<| z%aO4v0UU<+WabyA#f8TR!zqqtXmLT+ zHs$%c3L#!*b$)h(_J=B*1d`?TbwG^7NQUDWml75-BZRPn)n%dNaLDD2OXi+LkQ8kH z-K==zb0_(zG~_5NXku_!WtiW2X^}T{H5)3iE{)Ew!;v)?Sobi7XXQnKJ;_Ns_Zcck zd*YhzE~ol}-YU|CQlq%f%lEzBxQ+Xi1_?J26{@f zP;Js*;n@MM-t+4_GYO^@pw0G7N>i1xgVnxs{M?} z?#mVAym-imPNI3Int86!9u_2l4%-|y^S#28ZpsR&|RDHheGjjry7pJC?!TPuxF6K4t?fL!zizX z^g)F&BmM^Qbqr+)_+;O^hEHa1or$zQT5>>7?n6XFG}@;|!wy3nH|V+{C%O_d$4U-3 zax>f#_h!WLh;U<}FP_7>l`rL>VjOAkVNR0*4fb&MaYT4@dR!^8Cq4-+akm5X z4ed{lJ&}j@V{|OI82Qz*f*e?6r|s^K4ia<~S2+q^R9R>+Q-r$psNmlWNgQM9eV*`KG^Bym( zP{*NcnB}`GW>6n74ou{c8GQ%JwTM)*b$P@^GucVvZ*x}FQCAc^mgOL0S|`wl`8Iqa zLbCPJKEx#5BS=wK3&7{>2Q!W27^Hx$%=gHgCe?J6VFBS8q@MK@8PNNR`f1-5r#(XX zM+65GaS`UcZ?H}b_byTea`Ev?q4{hqAlu>kKR?3Ef%jxu@tuA10AS+zR2hOuhB9Ih ztWg;b>E-O|$sj2v`$uosMyVA1aQ7*ls2Eg!W`c_vKM9G*XFB|x8C-Q;Wd$zi1=87ZV^>UWL~rZ(Bw8<{8eC)5O4h&=;upv0P{YQ#dO%@D z^%YnBC_$8lO^VYKmAx+R{Z=tOp<{cA&&Hs3O}&TP@5Mar%k-GNM3G7gytn$#;7w^U zH|D=uCRQKEo$&FcX;uK>PN#b_Bd@L%sVPtuKGhNB!e={&cR8Jxo3;XKL4CMLADvCP zGZ(f)=rkkh87FYukZEOSB0U?6sK6U031eU`#6wEdhcLY4=`LgBE_l*Aq3tYVJ9?Lm#M}9hVfS@VbgLi)ou#;Z&sm~>Rnf%u;Vd^91v*t2d%sFqjmEWM+EJ{#;UF!zZnozFI%g)0b_h-G z*9Qpb@CVYQB}%oUGhAm)#l8V&jvV%5nBp^OG3_bPeW2!I#`KJuT3R%(mP_Y)Vm$ky zr|(ZjcPGpDCUTn*CoueDSo-ja1`3jD@>id4vUSN0FIF5P1?*RwEKAD+0@CQxC3g91 zxbaws@PTjRa2XP@cqj&r<>Nlw2qxDtWc%QIc=v#K6SHAgX0JY10|AM?Nr0RJcXGrv z>1zp6KO(y;6i(6>B4c7pLv*kCx*YDflmu!wX~GunK(@58(a<03RDX$T1(1%gDH3)< z5Gs6pfLrTJc3jYS7Hj&{gl)EKsbM0+V;L^4ai|0YeK~U1)PQRwlzxfOI3IXMRNA^~ z9~oCF2&LC)1;u>n<3h|scW7gN z$eLGw49`;PO=-Swky*ueR(SWTUj2TNm2leD9T33Do%`;8`ovqK_D;hnnIQlepO+c> z?hFKXk_*0E>HxmArUCcgB%}XCMvu?Uo>6v!g8O7fA665PCJdjB-~?<8M@2(iXI(?K{dkG7$=t$!?UU9eR( znAjCA@Y{+^1dO@fw+tRU73VzBGTL6S$CGMUvBfv-%lNG;;yA*1aZtzmvZ@c+bbiH8 zO%q2G8yD2qdo|4%J(K_hkiNhIlMZePY@Q(jTG6LwFL*Hkmo2~|Z$9fmJy&iv2z{MZl$Y%! zYdMi5PArTyR{` z3B%V^c&#Ze471MvCA8h!&Hi@wv?XJ=Jza}%wFKKbuEn|Wt+La+k=!`%W2r&>77dW> zq)d@z8+O_I_n6dNl5}Qe!qi=SvqgSiq2%q_6zgyW&$W`L1T446?t&d~ko#SJwNbQF zG;njohHa^8hu5Ap$C~Nl@OWflfDcxcRiZj8{di z8eA_|O`UVBiOoGkx(4YtlE>+r=W(y-o&}@9w7giC2cTq^@;=an=a}#byL)xfet8X3 z$dEp}Ml=>biSO_zmZf~>#IE!ql!(A+-0seZ&w{yofoL*5lI>wcwheC9mXr8=E1ai$ zT!qh)M66CWzK-!)A89Nv)?-$z)asn}--p(oj5rR7AZ1b_HCSPD@!du}u)}DTUasq@ zQ^j5UT%N*m*vykbCv`X(E?8>Pey=O5)6jtN*1W1RGIwW*NZC#~$sW)!S#{2iw^Gn< zo5Oc^MgKfg&u=9YFOVX8OmC%-yQXqi-7bsvFfpoi{j`j9a=GV(lKke1*OJ4F56!4fgw8T+6fTVUq6D|i zqlO7+LPEN~8;n|3a?|pXRKl*PK2U_r93N(0pIEgV9Js}`dB)+0qkc#n-E#mWNs^#% z9)eW5&^Y5iSVk!k6(2eUfO}>)LVc91rWB{WuF4*94>35$oqL3ZZTZsl-vhr&!+8T@mrT6@B*N*k4*{l4)+o-)rMvN{_}KFuV?c_C`@Wk| zPE*Z2xghDX1~xbsBWr>}#CbQQYAS@CpI7CDvobt|Kje*KCr-$)?}Lq#r@P!8dd+_i z5PY#6M=<<*#`V7NbxsEb(|4?@@_g)bd!y3b$cb?&(C6;h!|k548Q1lEpTl|MN!23` zyc{z3mERy7FhiW1zV>niS!2i?#Yu$wgn=nOd}_9`?=4VWPDe9-&x2PC^*U}GdSoB( zso5eIpQGtU!yN~>kr=ozhS?5fd(~DuAjYIAgS2Ug9PG-gy6=F{$F;>EBDy{D>^JU> zS`a#(7d}6 z`V62b5D>8d&eGKePwBYlr)l?8ou)_VO2PHu8Q?`AHfFJ;yf!SB28jBEjJ*%j#zbUw zBD$GD6Q<%xLk*$dk6Afu^GTIClX{n=tas9A{dUv$S^&=#K$%Yk(Q<;5M=N+@b(=ws zEF`4XeNOW~dy^VCj8}%kyMcGd6F(TPB;92kcm;M7giRwf?}>iY&c~#fKuk9xo`~Yi z+)N;`R~&mguJNwTHdrqVVmK^%U)LE}B3U;89G_OAM}}XXe~29=5aDBy!_UuAT8>K5 z(!Eb>*<`Lec`a4zWQHPhno%l#Iw7L`iFu7UG6}S#@qU1&)^Ar)S5+1wyTDOBrrC#- z7mGYCgjY)Tpm;{Y0q3b|;!zI03GSl4*-1A}V<9|0X)>&tzE$Pmm%3UkG{;EiI;C*? z2li-Hjb^N%xmwpkc*`LD70HSOqiA_Ns=N0ZL< z`UO%j{00fxtttr7D@2u)Pi9JXgrlG~N#61h8iO~yunq;hOP+WC8voZjAMMRcDU+W% zaQk2KD~MoOkQ%}~+=v#g`4I$fFSY<=1kCwSAQI&Gn5Ft94Di+tm^J*lvo3$_NlqUu zA8>tvN8XtOP#F7GBp{+hJbpt|ZKG;)cscXs7Ntw$8vn)*il=_Sfp_ja^I4c&GrGqN zW*^$u9!?JPusgQAT_%BRjNPID2p_m(=Ph`Hg+jl6W-en5rtjKUa;4Z@QEv!A#nKFdu7#d1nDqU&?Y2Mm6&YbNzY!dIz_dYZLl2IDD7;EcWNL0oQdK zNCQ0hmc`M?k;`M@i9d06bK`ks{>~3-G7SCX+&Qt-zi;W_c{lf$3%Np_V;R|=!z_ro zPvI~(nNOH$&TJAeYWzgZq(=kpQ3q_e-Bb{|fRK9ZA%nkpCc)0uRek0&dMs?b0MNiF zx*9Y0s(qcqCv45PzNeerFN$7n9@Y9>0|Yq2v-g-E;@slMz}Iu&@;-oNvScitHR z?{&d9u@0rt7#VQqr>#WTn(G|ucb})W{(tka(ckCMc%0Is^*-(0mQ%@JZe?t-qwn>1 z9(^+YW1O>Mh44T6&K>1*Dx<9>kN&U|M@tPT$q4bb*||sjX`J5O$Kk(y4V9{zQ+M;- zy%79s|46%v;i)vQhkJPaA2rLbj3QG-cJ-adJs}p05Dkq}a8E0A3aJ!Twi$g%Uv>RS z0zeaUC7Y7aR}zo6R4Ecm<`(_Ih3QgmuQCuJvfHcS>tiwe-<5s>d(f2te0x2Z*MEz* z4=xpe-B`hK8yCNToLJY^zs64tcEg3OyOqnD6QdsxR7s3nCZzAh2p zI(ia8(VG(K1J|rqls@vTBn%9OlUS9z4clHlPFe&iR@-;1IQEPqlZReN=_vuT1gh2! zsLYRi*8*@5(#b|()`#}~(tPb#$uep7ExQ)_VGy8L+We?Fk#Xqo_?kFq;5WfHSn4nMb7^hhp^55 z?~#A4lHuT?uj26fFivn7j3{%0iT664mq9d9$p&7cxpuc8X*k#;_Ih9Ns*j1CQi}Hk_&L|Wbr`=SFy?*|+JcAw8E3i{nK1?=V%=#y zaIE_vHy+FN5IPCB&@RL*=}&3_Mrq+8tBcVX3WIHES{Z>CiOVVEWx^vrq+eViUZ8alDtJbp((6 zw~^UDDTHI04gy}`f4toyB!n8w52Z^TTGq6J@M^L-UPiAQla|9q<|+c>lBUaEPz7*t z&(E=q_Llw>^E%UPzbx0$oiyBWE#2@;)Pj-Z(I}6EPUiYZY%~$;!P5|OPo#6uP*u}4 zII5ZSrreWI72qH>JW%)(p?rJ5QPXs?AaHgfb38<&7m~>;b^_3iu1lUhNL;}=^-;rB znd(xc^<+j4awe-5d~FF=C9CSeZV%S-)UXK!V_G=tzjhP>q1Ei?7La z#mt9zGCVzpm^&8k+6ew;W*YV!&}62?dRO9N(^{&Yn@l8tP>b7-r&ES|Dy#a5ef7F( zeMruv-L7kS9t++hu(BvihIV+m$$5HauGoic!|-e3r#}(vA-JB$OXWF8DsfuAuD;`O z(^99s;KNIp0SeMwy<{S8coH$(9gyc}&9pVN*w-yY9sLkaqzBCTi6f^f1L~sJ=06j??(#zECjqGY!LYzCsGsyErgc07k9htX>ntFdTBE#+e9Lxf0SsJEnlARs!_TWx7 zK|MvL$MLQ98UgW|h(r*yC6ndU0#2d4;8m`c$?+PUXLKk`76#SQ9qrzm6d+uex2fv% zVSW%CT7fm7jv(Ik2@PQ6pfFh`w6!{-J01DaexZ?1&y{Y=)s1#VD*H!a%^}*}JgfZh zx@~b;YNzeE#xHiLyg>K_f6o+q8d^Be=sAXT;(+#^?caq6D8oYoUaKznEV_$h~&c_x4i$hKg zh@>5s49Lug5;;2e(_el&Th;BF2sL}k%0V!#q(ayOLd<;A-o^vH*EoT zc`Sg7`wTvfje1bkQl|r%(RfurAgmIC;&Mu`#suy3b=Tw6F4!k4Dnk{ zYSLogunU>^Q?JXHR^6^NRlNBOJUn^Hc(v<&c}SNw0S*gQybg2KK9)?>@Sg9y#k3M& zQjlPpMY*pgRX}KKj>QZ@>-j*C~Ad-*ex1p0NiiaKVcU2o!hfxI6`_dW)C!eObb{VGmS4+Otfz-$8MMEzW+Q zG66+#EVJbel-+~@g1!^zDNMg%W;~}Ko3(J`sVzK{6li?VCXSXh?-8c(M)TX3ronv! z0bhq34NJAd_%MXrrHF-KB**yenkV40Cnx|ZlR`f|J)bI`X-D3(owq2RF>$O7T=fYZ-erbBQn`N!nUXVB&%m?{E|f(pzq?QoveQALFErH2dk52E!Oc`xD;p`?8~Q}HP3un z(_fu%nsv0%)Ui@a8SC8(4?5YIlzG7KqpkJmS`v$ z0a|D>22WM@v|i}b)enzj8~8T=nR#l==T~tKa|nz{l!NxUCPm~uCooUNg8z6fKKo=2 z%2OoS5gVGp4J>;2UQDAN{6V120>L5M(D2Z|9gK#+Fx!H>Aa5P-pP79cC*ULm!gc2I zrrz<|x!n=k)rHDUVj|*Rm~E1A3B-z$j5~N6v)dXsHqtznd=3uGz#Jn7qRdf{L@@6? z;jr6r-~eCwmCfM6Z)+5ct2z#W6I}$sAaN;@Avaxth1MV#R{}@j6v=gy8LvabS?l)V z8i%#uDMAMse*M!$IIr2&!0L$tSQu92ud0<;s|&a+Y1Y2Y50eOuF3=#R!=I+mjTtKl z{E5cTm;uxXnoQruNd!lDHGLk8Iq3iouSOf4=36gq39eQAz0_W;KlO|#W~CCfoFIU>JiPG*v|=&2zG%klp|ny*G(LU zefZOwiN^_Zo=TWeGKfknUKaJ9*-g8OjRHVMYn_G7yI!I|LRK7;jurd91O*JQ%Skjy zJfE)1fi1#>?29kRbz6UC46*`-!5iqbn{;cPXx#v%7XPYU4L0oKu5(aTu)7%%otYYN zN&Ld(7y6XBidyENH zgrn;S=4jRCWJvFHHelBx8km|yiV8T1b?pTGhp(0PLJL}{)hcVsJwwk*E;2E_*z#Pz z%Vj6D!O4A*nZC@hBZdt5i~qqo=me-DAVBVH8z{L|dQQzxnxuL+=WNY^Nr3078O2x1 z0Jggu^Ia5mAaLRmt7BTNR+k!gwy-`bVOwyx7r2`fT6ui61%Ki@-#0k;lszF#Itj># z;&+=ssQr)&xL3ZQ{&EdT+L@Vuz@m!@dWKsTZl@(O6zz(ENF4Ls9Mz6FsGF3DUxBvQ z&z>OzqDldL+h_2sQ~_fm+dxM`;(!~$ZT3L!6-$%u@G$5jMgw)}hLVNqKBh!|EZ)&v zf3W6lHh}mx!Ci6GZMD)a6WI-F1Y;UH#P-U~@P9Da63KYOE}eTj--ui6A#Zx^Ppt+3AniO@V% zWqGQ5zySoBr@|dUCr8da1tSseBvZxjbyZp%8Oh+51UDQ>@NhSo;jQG%feeakG_j0b1a==m-T@xrbvZ;u!)-3GovGa$@|B}Jw)AR;&Or)??Sv8OX}t%S zRjNZS@9U!Boi)B89nzs6I^)QGhtAKIU!BTKhiCh-RND<*Cm!3Q@r`B%;z#1ziS3Wf zP1nD&Cb&oFb1xy;Mm(~$uB#!I2MEI*Ct(Flr;V?T6q^mO&`I26Y9I#Po7%_#XX+wS zTYNfkHR!czLsW1^B})dTi~R1;jKgZa zv>;n*8B)DZv&*WT!ujh41|U)Q>Af;_WcWx@S>>4(1M!jF$K-qJZ6Ksn)WaLA!LeP! zj6o#ao(}I5JpTnI9W3uW5&Gn0bfrM!X1icHwY!v>Eb){LH)Yl*Kw;sq@2Xj+=ZdPy zmcT5PyO1imO64u2f|5T=<}W34u95{y$=s`C;Zid1Dp|CY%)d$&FC_~spsSbyCx%(j zz>`Jy@@$kN#+WQ}C*ksj^q8ntW_K^S-n;MK$TpfhE#?-{}eZHfrG8l1eBU_O` zQTC%wCORTtW;2NlT3R{v0U*-H!}Sd6=j3%NcRAIW+4km>+6JN}HKkILdq}Whq8ub} zEHWo+elQ`E0=H0Cav~eZmiu-^LXLc=T#VYZQw7kfNqYytC3esf?Y=zr?V5?Bt%&xd z>xAx7!ocEKaAhh0U2HwDyHDfcOS8i;0p>L3}yTY4NM(G}biI(a&o?=}4KHn&<45Am!n(AIPl{Aca zsXA9XDrqiW^7`tyx2h9_hHt+UQE(QGa#(p zKQ{yS&i!$7A`-}JrXStKKR%QSr^>QWV3cXrD&LOEokG~o)3LC?ze|4H6dJ{Kc|4ka zaOaGqcNB}vDmX}XNq=+$AYGhNCaHQpEoziWiiuDRbt-)U>KAp%%Zgj+yOZ*Q4vZi- z3)0ybsBh>gDjKlfw@SUr+Vx}b<0iEjPkp2j^357`VlXN;>N@9S@-6PDOkJ$I*q1sv zmy_5i2Vb0UL7z+tNP2HWW#UFA2YA7(WwRm{GH^LzNIk~%%8YMkdLH%dXclTzwyb8a zO?K(l!v<~<-F463WJ)sT-vt)ZMS9YvnP<+V%bZMTt{VUM$Mg-2+|9{79Za&c(ZCLE zbs$;%1svWL-z%ngF*ODYNnh~On5cKn_krfoJ-UAlhX0{rsP{Q7Uc`s(4;SNS;` z^ofo6>UUF^s%^SeBZ=MP8&sHAUpl_}YA;cI8z6D_>PrXUlDzsV)S6GxGTGBgF#%SW zXK)SKQ%%VF&zrA(@z{Vt5oPq|l-HF2I7rf@dZc-NyhH)7zFK6Bc>uiNEN|51<+kFT z<&yRitjV7h3h%j9;MgciKsWiQO5MFUq(FT%lkW8|LLpG)#w?GC* zn|q>pq$8iEZ)i{QM4+zi>AHREq0HZJLGIlV!#m*037tu%c#;VO!Fi5JhJ_>i)~*u< zVAPysOZsfK+)q4aO$neC&53P0WHm@0w;wA<)AP{m?|S2)9t&_%_l4O}Ky~z{8QpQl zP$Mzcbz8`ofgL^!$cPI4X+Ce9Pl(!S^3WgJ#Gm<^FFpj(*xG_y!FGAo@G|f30aB<}u4LFmG+cdYrc$$d@ue`wNLA}G32nUI7W)qIlEBq@{60_8KB}&b2)g7kGyHFu+PPu_g1QS z%(@yz5%oUf;*Rn}ljY`t_B}o7<%V&_h8pW!VV^5z*R{HQ$@R0Xom#CJKg`zkvmLOb z1k+qepG!1^6-cwdO3%ozAepxVaC?N4Y@Xd`lNnO8KQgXIBx8jB07^s@Nyb0_ILNg& z=}U|Kf3rskmh3sWEjSF8TVn-8X*xJAc;=Q24Siq3v^%aZ)5|8oxuMzW#&l#>Rm<*r zaBWeDRq}D=kCju@tY9p5gr-L{!wCpvajnYk7=+vZ4ljdr6JY=bq!{G1!tvo`nhDe|t zAnw5?#hnZKETKt`j9p%?NR924Z&I;PMbWi&9S8Ac1(lI%%OdcHO4lMzsamJHl$yewq;(vmI^;^Na?eP&@SqEDrX1^#WXeFb(yr z{n7|b7(m%!BCX15BOK;bcOQeB7`P)LYw%)L%vh!K&Ohym{RB}7Y)OIfpZ(kKyhCC^ z!K|Gy2l%DBt+otVuc`)bY@I?=ca)~=F)!+kQMHKdq!rPgNH3Z_Y^~J^I1Oin2u%X8 z5WWcQdkrNI$PhX@uLLHyqE5mxFH}Y*A9|pn<#S4TVFo7q=P`F!I4M2SoMlvULc>ow zps8Q>M%kBE|YwUFsy`Vpr)APJpj3@^As&$sSG=U|fFW z0At)+EcGVC*$z#+Ic{%U1|QbkhyHYScKmD%kzH2h@ePVuGXl$5HMj;~RQ?86z~?=K zLtDdmMbO!w_l;ttSSczcE2|6Wn$D3mX5g&AnoRLRne|pxW=;l<0=eX-Dsh)$_oaEd zeO+W;%VYK?W#%mgQJK4J zwW{gwS}MR{^|I>xThqUH)!-ucDMCW&z{Ei6h|i@VB!eI$!+-Ox+Lbk<-f~xG2W3`e zN-ekagz=uwmV!MgPc!SyXU$R@YdWAgaE8_q)hny_KrqYqCCzQ!$bie#{Tn`?G&C?r zs3e#}C7qq?5*~Ns6|y*s@Sdi0y<0kMii>#Z`JHv?I--giI7YSg}ZhaE!H=1T9(YY4QV776Z^UnxR8geflKsW>4V(STZ(%< z_nq-5QlV-~h5@u5DU;`ls!o}CDDSgbiQU0Xt2}QH=_;!vSV51S?n=)#drTIPpezj= zEd)41)rG3}>BSPh5;#?<4ItS~b-}G@qnO@j;lOc%?!Y1Qn=zAj@B%;L(9t3C+>&YU z;f6plwJ#&SSDBfU=8g$cLpjMuB{{SGsaFv~uv@6=tR%#17^ka~#S-X0GI8KQ&ggnf zj*!6yktyh0jZe~VO(8pnrn{8y{H8@QNaH!p;B!L<3>_~u^#+v>ErC_MOA5PPFRjT; zcgIsbMDXnK)vyoT29DD{_>TnvN(>`M=AgX(L)LNFmuov31qM?MqO*%`j%dOP=El8Kj z6V?xhLyYPIzXa8kWIL5~vgmb9i{NpxNe+APwA^D`Wo6l%)SDGM+as@gM9S1%?L8mq zUZdp}EiSjE@@QTHul-P@*?n4d$C->fU*d?OH<_LOWJivesuu7jDdXupS=<}!T<&O1 zbn__c*F!X*J@f^EuoK(=nrzy`Rg1DydZ2CiSnl#xPt@xsx%Q}p@xDJSx9R>qE!6B5 zA07)|n7l32mOEC<Sce>){hN&z-Hi^69!oDlxg~6I{TNgmBk$BSnYtT$QsEYn5>d6yr zp~pixvZTDZUOW`UA?@16zgZTHiwoJ;q^t4!>tr#z3+jM7J|<(_c2QUDmQtOfoI*HM`|ikwtc(k;&-LY^ejmdIO!VP)lV^^|<)y z?QvcZuA1QR*_x*ujjGKi+iuAa0hBUc{YN{aJzZzh6Cv(+={b(L1?@9wZ=xIUv8lQU z@g^mcyu#sAt+O@Fjw3a$p_x+Fd;<9+qf|U#jsN;b-g&13?o~NoO)|p_BZ)Q-bWk>D zc*7zXTmYfLTU}6Jr`_)Y%3u_NH~>ySvA-5iRnO7C;vur6aaA{jR%=>m4+6*4Nf`S-^cm{)E~Hp#yBdnum4o}^ zG2Hnv-Bsm+fDz1?lZ^AbUG@QXI;VZAC~@+mHy^yd;(D>ToUvOguF(Nl(c$pw^Sj5i zAw_{qTH4qcp3T1+ca8DZ&jMPZg?e)NIzuJ;2KNwvEClZ`=?xi0y5ptMiRi1|jdVXD ztFq`O_5b|qN(*T7HnS8d7+?F0EHE}QCe_ffxFi8QDT1WR&USblVIdc5OICE|bQ_O7 z^hG|&Ust5OTi^QiZ~gMOe)U_wY<}zW-}i`o%s2n!n_r~Q|584ei3waYP1@kl6b6?U z?Pob1H;1NdSLWaR?%)3O-~PtAF#V6+pjJ8z&F;HQ$>5w zH@<9s<4?cwm2dpXH~xVB{__9&nQwdD-r3Ui0ExZn7c(8@s$isrTqH*KJq6|)d7@IQ0Mq+98r?Y zCcjV(fT1i`;|)dpAEZbeOFTPiDv9nFrVxKKWO6`0^9vW5kboq|o%1tziQqByxq+uN zs{(M|4j96u*;6gq(+)SF`9>q=&}MZkj}kCu7J$zoTYrBvKWTO_pQ-uSX5eKW$3cms znQM9WogW!Kpa=zib4`uhpghE#Q8S=+k+Rn8q4^xF6p9{zWK1}K98)gm2pCnhZ_^=i zs*~@=cYbL2iRFY)v5vy)mni- zx|;U<_?M@ut4{#wlO!B~eQo#8M}F8P`u6Jht2Iw6fFgUX?34q#04_%HfeD1$Rkg&=yAvJcpN5 z4&--!dd(Q32RbyOB=;a|!``>h@?PHvMiq>xf*kg_r$!6ta(TXL`=qHPn>yMgg@WJh z1~tYVRTl`L3@c2lJUhv&yqx45wMoTuqs&@?v`^&W{b+Jn0Ywv!yO) z(%bSrfCrN86#lzIU-5VzP$wtwG60%xSpaXh#=LvT$m+%I=u>lhIv;w~#vaM1YSQNF z_!gci_E}?|OJ=X$zWRJlHeGtGUVVXGc|h!!zxo{BJJU;t`q?Yk;i%=IZG`N~k+Y9A zA_WfV)w1YDYpFj+cT=OP(i#jsP#LT%Rm;qP+u_yJ7)`oPlk$2oF;@?u5O{7}XSfe6 z(uRq<;S7gS+2XqVHH%B5R`+tlJ1;WA2w3#+)R0{V(Fmk#*EOngHQub6_X1qt+=ek= zz5%Wx%!6AxlICml$!bAnJQ@qKp?~D#WJ4ot_0u#Bj~UH<0o^5)t<}-L&)`S{-{4f4 z&klv=Zhy{N9q!_h`x#)?M&D&exO^aNfs~(ZrqN+nYS(5Zhsj!=6Ngb~1<@T)cN?-? zXhh#LPimKnH;TCelo)(+;2Olk!Iq^%2PexlNLQ!XbIdjhh>$BfTHCY%#f}rlR_xMV z@nI!rO(~Z^ozNhFmf_Q(^dTkI3SNhkY6i@L7`~mvfW8um4cTTRdA=J{d)*}bur>U~ zk1U`t7mHBLq`e{HpuwXVbB0WDnF9|P$-rx-v$i@Y(!Cxo2v8u)=-6R0QzArkSpZy6 zwDrUJEUW4=zZMoEcoq-_s$TEGTt$cJCS8>@<+gNuk}AZ;G*Z%j2*^ty-(c0#@_nQ= zL1}hVWM)bm(S~6Gr6I>FI$mtb^@>gCH=5+#ZeHVf35d#uO3T=>-KO^L`Qv;bThQiUmqv2aIDAXcP-N zQmI#)c^~_CfEJG|6r}j+G275FyCcmS4>R<02U<-@5n_v;_Gtqx*wdI}c*(dLDiv|~ zYhb~ZHYatvNYnP*gJ)9$phN+0$%Pk7P8wPPr>tyKb~xBblSrD_s=oG_NBA%Sn3h`C zS@=2)dN?NG44ArU!8f*<%{3qTESMi?3fC0YyZOrh}Tk`TAeA z`MuTI;X!a`bG$0#^xkcs-$znvSLLV(*Uy_mh`09@tb3!g8DG6E1E|^C` zIu2=l@0k)A(Ar#i+Aki-Y{Ji!mSzb+0jTar;NNV>K*D-TNi_umC8w*A&~p&H3c&Oe z>DA18eJCGj3IiZj!Inm%1c9qSZlx3TqRiE+uU=k#_0S&It&V9zD&IrMYCs)(uMR2A zn$xL+W~XlhA3>|YK7Y70s--UAr?IbpjwV-DkLb@RE$tm1+8K6nW>tGSRRFE+=R*J> zD-WAh#0#N>Qlj?Ry&88ujWzK8sUu!}sXCep6vMC%vvn#x1)5YusG??7DcA??rp&iJ zK074=R6ry^@$J!knJLoKG7SMwU;947PXW_TpC4)*=VZJo>c*a3jZy^xLQfrD14q&` zR_#ubJg(9MbMtbl1OcW1f=@RsoUhoK=+)=QFd-wjv^p|$E|}D6pYgk~SG@WhZD8B> zYrpX73kPfcm`Y?>yUMdQ&TBV8JSm1}*nG-5JJyE_;uO?jFI6D*(M3Ed;IHo$yq@=I z#x%@TjfX%@r9;yqW^jH+7{j{Qt88T+R1O4&`hu;h#YGfCll#E%u!Grlx2vUHaT9b_Wlr>P(YV(;{?m^z{VrX|}^8ldC z2lQDdOYhtTtT{RyNIhm$csC`OGHjj<#dC~;sKU~R@)AbdH}E; zNu?$~rxTg6z{_`!DR|V*qTlMCqf@%!Fw!$k2}mMkhS?(;hVf+qp+?9lF0^d(blU)& zcGpRmSEVT7_;Ih!K!~eoAkp_{ZXGBa3izXt@QOBCJQ}e*qeYFehr!%fTjd!?KGY^4 z&a$Vp)G5{-bVCR4S7X(LOfPFGn%&4OmI(hg6eY$_u>cWa4leDNHUfW*_e6y>UYfj z)_f*uo|>-w5_??q*7!BLQQEA9bbJOep1iO z_ltX;{0_VjE=Oi)E70=kobB*Z$xs2&z|DzI+7~HF8%@_R8%nH1;CGn(dnSZ&66tqXbs)^vpb&YKx8LN|?r$ z1ys`h_aRV}bm3(~O~M9~z( zaJrfc;XwV;47>ewKfPK5xH&{D2Pv;m+o?#(~nI+OLLPI zygy`HQmp6{9Sx7J9`?9<8WOgQ9x^Jm-NH|t^a~p7p=Ke}9y*&b+ta0Oyx%OlV6a-X zIdh!BzmN8RGAAy3%{wE)Y?YmA*Ap<5`rzJauuk+zf0h4*d(6AP0=9;QyUMn4L zpJgTopom7FGTpLCJ$>549hasYVszl~CpT=Q9k)4e|L8WF(JO$#zMuwWg?iZwHMu^x zLx%S)<9PGz2XPvi(r}L9>nkBosZTu6H2d26O4iHl!6ZFO;W5AzGI81iURvE}mM?C_ z);*1pz*8&>qOAoXQn=u&s zz$drx)UB$buhavrkxd3hHL|9$0EQNx*r`bkG1Q>-s)7H&GP5 zPbT|p(0nJ8AqdT%K)|ZYfVpIm2MF%_3DW~RR;4bb`2YthS|BAS_mG@<{Ty7Egbr99 zDY;GRWJ^a1StTOahu|2(5YR=IDgcmw!gOs?726H3PTIKFk~W~UOgiSkbn|0G2U0lz z)~h#WnypmD=}>yW_{s^HCqPL?I^4%liZ#FmNPFUxE~WGtN!X^8p%0-XF$9>IBCA8u zgp{%!N{MJYj=6I{Ku6{pWj10a@h~-0JB#%aG~dzzdSuhl9~-SAO>9q{x^AHXuD6S6 zJ&Pr61+blw+jGg8?zzBe^Yj;SQujL5_BrO>*)7tjc~L) zheymjVcPq?j44i zc0#U>Yq9H=!%n5Dc=gBVXOk%i8SyVh8O(7^NrOl_2KOtC+NMbAj*@m0*k#$kJ!h2y zM4WV%zxsSFsohv&qa6Sy1MCq2=@xh-p*B!*fQ{2Oh@`fVs``wK?LujsZR##zT(g+~ckjCc#8b z2W^osL`E2mU^8O*h-ykZ;t^GHT*i)$=<6ad}`mxIR(hKB(QNoWo* zETmZ}T*hT63U_#rl|WW#@QcuguT*juLylu`u*pZQQ`omJ_-Gx)jq`;12bCHX^A;6y z?mUt6?|tH(cbJ_q|5`Rix8AIhBUrnb^FJ;X5iFuK)EnER{y5mav=Gddz_Su9Gr~!meRtVLQ0uKs0_z_po5~%QE6kQT?zD)2WPU%6>a<5uC zD^+`Y0N6G0CCv@`AzYg8HWZJK&2X7&4RC0JnNN+OnRZp#p3KfLFlLcVSWy=o()=F3 z*RW?ng06Ls8zV4BNXSTCss~*9YXG(|bR!?nx{x~#;{jhG*r&BXFLnWUg>>O^I$;6~ zLqBmjU1xDhqG=^3B?X-f-w6ipVSCB^(M2w*H2 zTMixAl%^sLr7p)3f5Hs!B38f+@z_|G^o>MKz!|WmbArsivOZ(ml^j4+!}FDa*Cd=G zI7Z+AmZ<`^@TxfX2@{&Yo^js-;a9D4T*Mrkk`_+^`#D8)O94=p4F&{xyx`9EJS#DD zN2xr78?re4|l^7RU#r zq)iJChQi6bJu1An0c5b*lm2l*jI6xOzA(F*z`%4(o~^V)FjXdxAAqc$PVE~Kw0w|T zb!lLcfvh&03?SREI#XzLOzNXv>1H$_UZLBHS4U#-W9^>Icp9F~eD+NeN8MDqr|PoX zRlQUd+WHs_Nb@+7eQCV&V{NB#Xgo}pOPIM)>QX78#VzEPgap1V_JT)#_G-r}dF9x<7 zM0k6@szz1fF%q?w%jUi|u^&-?B=hv^3Y3ZfAIyQvBdO^uiEJ92XdF)FjL5IF?CuP3 z6E|k=iAnM^^Ky1IU{s_4DsOx8s6+g zXRgr#+KsL&HbNKIGV`;aj=7>jQ@aa_}7bCD6rqfJC3`7hU%$4XWmZ5$#{`EExkL%3wIUmpxL`oVmKP6SOm2n<_oH zaS(@wJ1=)}Np~~YwLRa4<}$16Y@zNoerAL(gK~SWwYhE*GmbEuL)^|)5OnfEj<9@-#E_POLmh5Wd>6S5V4N-!XH%&j^*rXqPi`2N7 zR{cbkoa~t0k>G@&SP91ohdsF8L*m46L^ zHhIIHRN&V3ve)3zF4@4YarjtIwZhLFaADRDI1D=R2+TK{wgygpJm$ikhke!)i@ikk z>z@PnD_q=rc!H?wiZ9aH^%7)@o%@r|UXP@i2HM|`IRY*4@pN8h@Ib?DZ)8N;Gt^;c zK!?dq;2Bf)UYQQN64G*z?WXeybA%>RJSnQ)PtTV0xX))(vrEnld=~p;YEQ-f6HmKa zYK}j?hi7juq447m;B2u{P`~<5xyz*EpuL8+6*vr-_^-%fqP?&!5Ku-6++K$}Lugv3 z<}VJ${sZESyXM4ZQI=X?qB`l_rLP1-~P&1 zzWa}U6Tf`>&;C;X(u?UrNxZ3?kmT?~JKk{-7ioR>XMg!SfB0A5`;9M+ej4?q4ruVF zVj{FA%MY3=uoLyCfAqaC{{aolZ{VMi5FKq1OohZG<2&p+3ufS%}6@n^HDa(rhHp= z`#W-x<|j=u19!Fc{onZP_x{13|I4rby$?R~Gar26AJE?NouB)i@BF=A`0h`A<=cPp zDFcJ;HGR8&8OWt|ww7{hb!;WOQC$%*62ow~uP-bpn zHY*Wc=h(#B0e&s%dy|6;x{pq6S~Vp;EA?mp@yE6IGe`Yg`9N!TXPV>uJ?WqT!L8b~ zX?Eg=i#yJ?UK^34lX(25497{*ROI`C7LaRfB(Y8l7(YO=Fcun2p>wtY7~wkQ+ukCr zmCoV-ADr_9q%h(>^H_rO2ZWg`g?Qh7&FKt5mx00H4?3`~VUJ5#Izke!K3UM1c6E=$ zr&1{2$FfPn1unH@Ub}r-_BrIhW~9bAGCVcqpmx-_s?Kn4pXdxR_Z=8KX**!2yP8^g zmEP;pCl>W#HKLV~&Lq2Tr3%G0cf+t77^p~8ffVtKJKBb?N7)i#&tFaq%)?F zHdqMDYoKLPdXAZEE{5lNU0Rntwu+QzNXrPR(?0)qX)>{I+&*Q^@GSq-Cj@WeU4?z+ z4ec?Rv7fwESTC$~VLr=_&*7ZeRF7Z#wG}NP^Zd16+flU)zIH6lrhZ79s~oF#Lt@|{ zTV)SG`cfu;WN?t<#eCeShglZfscKqCWvohgLtgk6c9yQpFU2WSw2TZgD@Zra5L15H z(7t!bZlx@!A1>xWJ!Y4As;1&diqd?*qPiFlU^Iu&BV)8ZJegR4kKjplq62A~mi>e4 za+@jRP%?202cTW%4S#^^D0NN4q7-6BvUHjxPZ79ak_G{WP2&WIT0|Kgu|QFuY4WU6 z2il@Pa!2v&hu?GgxZ=%D=6hxk*nP%}$HOkm)w((E3-pDuq!|Ka-l zNFQ;06aQxbm~vOQZ1W+8EHr4$`9qGP!^ghCTP<$g$?znDF62N#27WhaRULO5_Bny` z7%~}@reuHonCwqDwZ&XJPQ|}c%EZ{V42mf}L-Z%HBB~7lU}2QXA2@^=`;;2O?oILs zUm5$BKlHRC6CEs0Xpq%;+`W&IwU1gL-=TPQ#G|l$z#d92Bxi7!k>=uypmPPY4K&~- ztk;PDBzZq$&Xi$eaasSHGs`>665_$ zM$dJ-gosEs=p#<-=|4=?DuYI~aLG;&_;37R;I*zr>Y)1uKhRpxX^}8WqG(s>;6O}HhU!X7oLuzKgRz? z)3>4B^;iy0UDlOT*I2ElZ2}PG`lgKZku_~@dD>leg=E0N?Q(k4BlkT0O_CG2pgyDx zW`nDn&V^3jSMJ*lVm#z>kS~B7H}VtGmN~?-(aBc4f958*_`s9l05^jUH~Q^VmbvDR z*(+MZh@@xK!n`b5(X)IvKuozjx>Mu2>TA*6t#5>D>WGdpc*pnElp8fXs*+Ai!|sr% z7$JSDOLwy*j|bQHkWNGzxsi-7{dCE4JKw;8|AV0v`=67!Sd;*>I=1Y&T!Xi+`(<0D;3QvPtlTA&hKjQan2~fgffIxJ5u_&5 zDpBpEfa&2L5S|v}?6)i2-17Ulvr~=Ol`?=-Z`H{KX zKT=DI74M#RHuJ1FcTN;M=;FJGZe-W}~@FZ8~kt!lD^}qa=?@@(*1};iw?@ ztqKY#)6pu^;#N_S6m{Pf6?vnwytgUK<3>GER3b&~yQ1Q8|M|Czas`cXTvYgUQN9e7 zZ|*^*&ph-A&^f$0lO( zDqyo@JM%HC4`R6;T2kI{yE$Asc_T?cb70D;7bck|8#4pk&`8D_L3x|(q)5qLK)i&E z$e|;yQ3w??^R_sFn1$K2TU@V`t#W|(**J4F%8VB2a>;U!vNR?!Ff%4&bR&W8R=HI=+2{K#ZGr97aOl>vtsXsuEWwK#O%HG8|6$t6*9h>gU_i^aF3x&Y z4M`n4q7mgvQz$|Py=DMgSa%rDOYW{c-S)KMHk+@K!U0XgK64k4bD9870 zB%%*ZJQ$WeCW7HSPytQ5+X3+kX0dI?35^zg$}waY6BQWbp25E`sbYe(_ZP|~cYX^!LC zg&`;6QoB!wGVky2$Avo5KL|>|75XUQ>3AF`^rUkjl{Vjc*7a^RsY2}cRp5kXPrWzF zQI1Lh|brdH=_cOrjU z0nQ$CoE!XLY(z0K%$!hj-!9x8aw8lJH%!Rg1i(uvE+!*b&9ifnT!TbpAiIZ(rS$|&fv(_hGrP(mLd zXtt3s-q3+ITYe>2$Q;f(J+NRhbDuX309#k2j~%b-Jv2EO`V3)!4xPd}FF>(KtEa!K za#Owf!mdpp7v-Q1+>=z1nVdiS5q)XNTKI7Bqn}ZMV&1SugAc{4b$kbuB=+bzELeQb z;wL^go}h~GdnQnp7`2K9fTQR_H}pIaIy`tq*BP1p*9{j-(=ahTy?7XeWc`!O36%Kq z!yCVYfjsv0HT7bsj*vQT{&G#}n17?1I&sW02Q+E_b~Ro9jjCx!TI2}z{8ooXZ`h$R zZfg)uGl0M@=JaiOdVZ67`c5P=M~|zwx-)pQdb*C!lWF|4?kovqHeUaYga)A>B_ed> zOuCr0d&7N`X&=F)Ns{3~-<`kxbIbkZO0HVwq3ZxL`nuBW3`Fcu*X2dyYcGarnO7B! zY}@1M6pmdgmRm2Z)UOd3dZFu!z}}T%-f%~DkEKG`58o8(*$t>wL&pt)giYqfP{C*} zk#7})HEdBJjvZP`3t+vM2gQ5iW%1WSYcrfsI>7~)(4U|I%C5@o(uFlzN<1zM%E^MPwts&5Mc`(HeMmfCS(3V+@rU3sWCg+ z3T#UjaA$`*4Q~+d0XEO4oDWpfhca(T=befHAUk#0E+Zl1jeFE)hSLj3n*fyD(PE76 zV!cK%(M6zB_bro*BOHF1zy2U00LWgbS;_!hh->={NW|kV1Jh&==sX&UWTZ$qgU}Fo zeApvi{nr2ZMIc$g@~tcRH4q< z3<49wXRryF6M$1COR=EoS#CDw9(6fx<}(bEdLPcAYL3lt{fLwRYzjZu^R4KHOxA?X01>tM$~hF09f0%GMkN!o4Av;6r16&022qdTS1HYhV2&kuN zmoi$#Y*3>+cgnEB;utU==-_PwCzyJ=q-Px-YXI+2bt2&6J8_3YbYE7*iAnE@(^D%F z@DI38+wt=r4}d0L8PzQ|1g=N#X!UF@PPVPEm!L22SwaF(d^(jNf$aDeU;|9#4x62t zmLk?~G%3b&HKc7;0Mb58uDoP;cYcD(OgHzmThP#fS9PP26Th=iom0>g`` zaiB>8gdHGD-AwNZM=N|O$^KjKC6*E~rry6c9 zY2eOyLja2j{_j4zku?rSer20%1Nyiu2h6Owxi<@7f&=cYDAzz8S@%ewI3D?^gu4vT z7Ajkv%FfagUr5Owl&6~LrT%c~+)Zh!} zR8RSqkCK=x+HUtX4Lhe_G@iet6w zTp8>lw-&x!NF%A-;69``A^)zW|SXNv>FeqLmAobpun5%1CJcyr(*8}6qq z(5UqaUW34^Qm=1a90LFx(o<7#WpB(GM-vAFp!Bq-Q`}$%h+-|rM*aHn2YX#h zvkq_63RrUwKoUKaeN571tI;1)DVvO;#}D<5UL!T2pBU>LekYVVzr4}RVz?n%lE!-9 zVs8Q{+^sI4!=-?iTwONQ-Pyjt`y&J8Xt*5uXqI)D`@Y_zx+Rw#uEw>mmk$qWpc@(w z3=NST4)71UJr8IHB;5kexJJkFamscbeaNj`iQlgby`Du^EV7rkw;ISA1#2d$8IAReu znyS1kr(d4T$C5N|(q#)|Rcp=*?68|{b7lYgm!HsArd_BBf4|N0!i4{-n4%zCQDk^l zo!JW{0k|{`7>{YL87obeQ1g+V3aIg>gyjZc2!mJC4=z9G1`sX>2FEwZc!nkYV7}kt z=*Md!=_+t@A%t1SM9Ei3ql zjSN0~!EfEj;H{@X@DZm#^bva}9+!{!jMruOs5{Cy|4MBe^>mKE+l4)pXP7#ts@zp% z5W#G3E~nI@W4F4T7{#d|6BOo>Ca^r}C)*dJ+I2S*mR81Ba3@+bUa+;!X=i02?hisp zT>>mPgU9~?{HL#xd1Badgb_X|)iL**k6Jt63^YI-!h{=s>GM_D1C0*Tc^^rokxbkM zGeDN^$EP!pnMnpn^MD-u^J~(pe5-VF{P>#GB(La_^UtqI|CJ6KjGqeEK9aJ;^3WI9ZWtPVpC#_HXkh$xd0v&5 zadc{6BSs*Ya@}$k1u~0DpEh23|Z0xaBKa&U5u5*q98>>&8|P0A^jI|r8t(t?KIZ`2PaATY>yYO_CY0;Cfinr#9p>=DOw9F6^tnSr zWZ(lVt*s&p^1{yv2)-CfGU>2UWW_p;)KWi1wYYgJ7_$acx%BIrw64eWXl!#twu>f2BeJAKd*wUAX z8U&da6$i>MU_--&h;-=|GewEhlBl7Ty3ZcWvc;toEt5y^^BokpMvs{_Da#yHj>^;YIgl)(c7tG>Xs7R~&ORP}OoF{x!cMz`Ln(%_2)yug?% z^|E0sLq^<$U!Mi!ecD;`tTi{lF^AvTj#+cSo3c*LapFbUo3~fZ+Yy*a0 z3tyzs7_9@{)-RP-pAf|$F&UzbXX$m*hY8X?|Y zy(DGg%JrxU1GN2$QS3t!f8bMHi*lFYOwAOMz3VX^{))P13QWJ^o{y+6Z?}c2RTu`r zRMgjhi6kEUx{N1Lutx+!wjs0_h(ivU+2AY8Q-GUQYCwKlfn|XvGflSc;X4UugNtLV zSSOYw1rGL16yY-&0vWBvFi5+)2)Pmxme(W^#U6|;?S3Z}~N zq2N)cvCUc(AkOre^F%l`d|@SlBP^7O|)YZ3?RsD}YMejx2>q9mAcVLKOP^P@kcj$MwOZI)p6DcY!9)cJL$tueP|V$j|4@kAi5t)Y{ z@{tx54Ueh#6E~xzyrj?>>9DA*hIF3_M872C7FslZ?SJXN)srQdh+8UPLJP|MZr4m( zC7)t@A5ArR7~WU-9j|PsJpk1)uQL8me*~_hX~uZTjt{Qy(S}gJE>hB}OUKijKf;!HQGcci!h;@6k0w8zatjOvGB5eRhDnap z%o>+D^&DvK@-5aW$|LJ4Gk(E0YJSon7|Wf(b;;IhI_s}Kr)(I_(Jt4~S;kvhcFLP7 z)$rNE$pQuy^MYHY;g7H(I(q;vly#CiM}|Q;*lj`@zn#$R*a#$Nf8{MNA+HswgEjfC zChz59ykLs~)DGS-Z!A|_Cv4J{Kwvi&izre|Zv3w*(#sOU&(axM`YtEiCqbOIGv2komum-q=Fbl#6wRi^B*x%xC6$mQc(!1^DOtlwdpm zrG0D-_O)G|G6qzx@vm1SX0;?UkUxHZi+{b^Nvr`#my_XNx3;>*$nV!qv$gQ-O$(iL zV7ab!gflD<{5iRWZBNQS8g&vFw8r@*efmggX`b42)Y<{75Q&WB zou#1W)Zbfclaql`;;oH8lPo=;QzFxWrU@BPdE-dNWI7jo31Sg6AN|T(Z?T16ixF64 zVA-|V!gIEy^L8iohx%stAnWQ1)Lfqm z3(aHAc!;46k#+&M5oSfDGdH6uWNFi5+W-*@Oz>W4;n1!tK;sy$s`>q8JF*NEPFbH5=E<|~j1QOnWS4&qv zKQ-J;0Oycu^?sK@?SP5iQ@SFw5drmd;<6M$4m{*(I#=^R*W9ykL0VU9)TT#nf~6tB z;2zMscBBKsC8m5FS|{cXeS!3%*V1+iH|YU;iF(UtxM)fuj<*6_-lIn$oS%n}Cf5cE zCmb$|%idgYB2IS1)fqo6QteHMBUKn6|CKY;A?JG@4MguQ8B6j70KsUKXG3Y2> zIGh}_d0pL|8KH7ABRn1|IM*vD&wa+1^5Z@fTs^5C_cLk8SX@0U*;j3IoneQ@U5n~i z-)iBGCoJFdwPkQpNqfj(DW&J}s!});xZmLR(BJ{M@dfElxGB9vu6JEMOFb(Q0()8! zdZ%&)RDJk1?do+>j++hY&V`YNCg^=eiF#BqDTI@_mdqPm7Bhg_d?MO!sJD0%nsPA2 zx<;t=!;Ed8`5hu!e$`};BX7NDNIFknQP1ncOk8#Z55x7dLZJ( z_X26Y@CMlYb#k8oLQYYTBQIYoWT(-B=U$-0^%L+0uXwqxu0kj z;+B-Tno4Jm?JIdjpPT?=iyJB&CWS7~Q_NSB(r{Id_XGaf!DA+e z<~{B`?lQ7-nnR`wjvVn%#+629d!&OsuXQsY(YhfWkrZy4?vv&%1$2FbXWO4GnQeYwwkI{sShgzcjf6Ha5h{2qWMbJyk;VcK*n!-XZDC6x-Fw2ciU-prUR*Nx^CT(m^SUN+NP0>tA9og6Kn&ND!s(|d z&dlgUvkXsOHo}KaKt_cT4nL`g{r*fKeQ!h#yjmfu5x$n}*o2!|6aNQB&`@qm((m%( zz>yrvV}k68OmwXjxZ#=HACnwh5Jb9t{-SSRY*GTuHjgb5c6?=2b($9IwXM7UxXH@8 z8j3L+8jKq18qd%%X*>Nr%xg^W|Xu>k9&y=PEAT`*GzjtZPm6;qk(q@lU` zu5D^*<1RHy-6%A70EScXG9IK@ZDE(!9Xyh_k*cw%gKzfn(jYI6;mX++aF3y6ycuMV zm#i1nk!CX$jOZEc^TLyvoHV?`(9Nnux1Y7K>+DF;P0~qYhd$o)7ufb~&g*N}ong0N zf4@l%)!N<{)Ln=9q73FjE{#-s8cT%OL9@+`naX=o>j(&*ee>`;WPGHKS;FjG3e;Q* z$8*RaaAP!_V|G04`4I_IXxyXbijc5*ICiY-JVoFaQ`yqrxWmZ!I(MlXsYle<4YZSQ z49`{?$$nu9k=A7Hj!G8vLl}M31!Mva+k^A?VgVhfF4BKak>(-=u=NQ@i*i*^o=Lag zabck`SuYoi>ocphlvyxLE2RU(<#_JU4$w4aiLdEg-ArHoKe#BFnyY6nFhjbw-6i~f ztZlQEISOUWv_Wm2)DUFJ9N1hO}0^jXs#oY^I5FlkB~&)mZ4dQ?+(v^x08;RTsg z+bup#nOKG|X{Q^4uXn-mX5@~GW}LHqRUCPRA^`L0@?X=%t}&DR09Qb$zxlz9`@s#I zJ={!YyI01R4!k?@k< zq~X|nuU3xATuxV!(Ol5@F*5`Qsp1OZqLtYF=tO(?!Jav+jfS#Tl~bqhE0A5B`%*)5 zdzx&D;`WX3;MrYKE|!nU=7c*;IZVsy4$lkfJ+p+xTVD*U?8g863+f7nwy=YP$3?!1 zv9FHT2q(hhFItzQHU**w+FTv13{f}1$vV^G?krOPHcqKG+b~o9M+6hd7;^A9m zzFy-AUf46M>PrH`LqJ70d}LDQKGqkbG| z)}Zbp(+9(ehj|iA=8_BlsA89GD_|!`=X*ZzmocJcxzB3W73q*k$S$K1VCnatdj@hU z7I6(ij=O~B28UMMXPh6<(b$Pwj1>r*NG&-P+4^kUe@5c*M@bI$4Toturj|2&EhbIc zVN0IilJ;q6gF(~^?mzdAI#q{nS@YT^uP%X2`y>o=z3s}wqbbskA))sGNPa90B3hub z11;c*!lXrXyfpJkz(d4QncE`EG($xL>MJtw+cRKd#K4u`c1OsB=|jh(PvvoE-WErh#jCU<3Bg{VonuE zoEytt=~ORpYahG*RE{4ZMZACvm;ZBPAN z$1wY5VE>9kuDpLCE{qX065;98U9r0(?YaS8#IY1;y!$R*8xmvAVFRz)}gwz>wT4Gjq$Q$QXel}^{+>(;?KWC9h5aHVs;3`JZ3G) zP&9{3eNj~6`DTe{2YaTn!|@TAYe#-nOtX!+d0l}AD?e6UbB$WRw?M!wXbYf$Dwq{$ zhUS(7RZ`?exXofkmv1wj_E6bZr;cB20bU=xM+(cnDyyO^Iuf%_Xxq00l z*Hpczv>}DMgtaGLHB^ zWT>(G-on@MjPKgQr8rmJ6}wBmO4z>HR^17{s;BCZ94FPLF@Mh|osi_*W;>Rqd|PKL z&3d!b?lIj+!_2Y6zpmD_EZ=iMJ=tWq3njr!>|W)~<7EIv253yUEiLc!YE%f#lCDlf zut$30G1(_vZ#opgd^gu2LMBQU0xmOvCjbw|Nl#GcuAbc!;so1YR#&*1y^u${&@<$r zete)gqA$W5CA)Pl$H{kqm3W4w3`<`*zs^=q*u|9nMZl+OqwPrfDRM+?lCkK*7=+Ud^)@?fk_JTU6@0D6cT8gGb0}O^ z*EFB-NbvBTN|L~-#bc&S-?JoWA}JrfjW2~U6kmddk`$vx2jCSQEe9n+rE-}?bIEjy z{N9%wA3hY_3LZ%uF~vc5ZfwDjMUraMc4XZTDTJ9bwgeH3wq81yD)~BMuRFBVU6EeZ zCL3H|$#)#<##EOG!&*o^S#<%xo}>vJS6Ds~CTN{M4@3)zml3#VT(xCQrv5tRr5>${WSY38_CtQuBR|LS|c z`Lpl;?mz$V5B~DM{;i+>!SDX%Z~n$#{@}Oyo6Y`5U$1T+zHJ}>>~9tifAHgPboQ(K z$KNP->BAq0EB>3+BDl898qk_a8|P==`ujiq_~X9#6n=vbAC~8bKkkfj>0=Hrc;f=k z6(Z2vs@v@CFWbAy`RU*KnEw5%uYK*WzV$;&@)zI#TYvHKw}1MB-~Z{izvUc%{0$rb zoge-|^$Nny58p5C`#suhA0PffxqkQ)nqI@rCnAI1d?-#;0sOq9^RwUj=%>H&+kf%# z*M9Z~|Gjg+fB5$9&;DjuZ7BGRqD_{a z*#Y8;d(Y_1rLhgnj*2hgByTX(CWnWAnbTEf;j_kPIW#q%m*o0y+INwYtY%D%sL$mq@(osT`8naJ?!aI_nkXk>jW;^t}#Q?9LOo4(p5w@FR*nuIW0 z9e{{zCC2&WfBNKupM33;@BHLz_9uVz$p@c&_b0zWJ-CWM-blux)l`T8&YVyF@RN^! z^6T`ayIREv5+RXflTy8s)=GB!^uEjw4hi^2pM2+&?|t(7NVyDsel%)xyoe+R((A3Z ztGhMM59gB~lEh!5vgs$);#>6F2cLY;@j^@&7Z&gNK;pB~I##bLuER&4eEi8jLf5BWnsdj!@TZ@Ams_R!A@o47 z;yG*Tr-T}xS|E;04tobx_{rBv5Sb*DjJYG4eMgF+bxO`HUx<{>PktTMqyFMTbw6<| zA*j}p1FDGjkxoaYqvRh-$z%wJ)KMp}$~V@o+W`jUlW%g8Z*t+kftT7CHbzpXxGJ&8 z0zWuh828A+1sf{a(Yw7={ajO}T8F>?nyStZsUKWAEj)l89LdtHt$+0dD5AcR(CCOJ zIv$t@K^ao0C{yhQEm7)xDZ#7K%oO&iBpP*Hv2P~uw_wM+b9o}2YJ?65gY;17o0Msu zmBz($1b;(kQZatsOdh|-XH+Egee+anz$-<7Yzji!94i=p0C}}i^JPnoykOdAmjI&n_#3bGfJK+z0ljzHw3d3ZPRgupGx#6TOx!U{5rf&#vR{U8TNAYUq-o$M zlrV4v!@Mx451zR^XBoY%BcOo?mea&hk&t-u4LO|CiB@l0D#R$I-6==O>G}+a9lY@} zcFodz+frdnRk5SOXk(?0fU^sUaTyb5xp>>^AI-$=k%t19N&Fn=J5fyaVK=C|1mQk3 zTIY_De?q=2^0_jm%jz+&Z)nX_ZHqK`Ty~KR^^rT%eLq9}U#!g6;|G#J+q&dTXv<@jV&`$tFOh@1u@k9;iYnaPS-x7cp zEl>IWm?M@+b#i$lsqGC%2_uZ4CqKbEvx}RBmXTB#o&lHL20h9iPpusH%O0RYU43nL zCEggDEbWW&oGfL$7od^88W-XLgb7UbsTXhVZ!GjO{Uf47 zO^XDe)lrNx-BLZXbWo=|_j>RpWF|XFPM7ZDW8QH9u6!YaTzV#N+ z;c{R!LMKs|U$nz_B`&^`?KUrR`3(NvMZu97d@_QVNCFz`{0NhWj$4H;CnqZ~Ni49J z;N1l=u5czyI|MP~v2X*oz*Uc0{Z+eUK+y)#8+aabq5vM5MF$Vw+nkX$pleXuHWd>w z_2t=Dc1l@u``YOr{3IsHJ{8$33umlZ3I1DE0YpGj1t&y6-DywieEw>15_ono?2!w! z01nRtggxSLG-D9s2^e)4MRKH6ljTqob~q*d0*AJLw+ug*#1tn;0nJ=*j`#w^y9 z^@JU=K^3_93R=M^@u_;O=#ULZv+WLV?U=-)1q!F z>U2N`G+76~=8`(;Klzd}n0n6_QH=R5c7P$*Hj@MhIPlPG=&W+(xqd^^L7sON^MyVc zrvAbc9$Y_`JYJtiki_ni;(+be*E!&Z$vJ|B{ zbTk;FzWs&jNt!W3xFn=x_0|I0;+CZxoakx@BRw{?Db4c|R5}=+DUKEj{ z6U1hYK<7}1bV-+@Ij)r9E)WzVIrNI9H36))enFf`@#GawtHE6@Lx8lK>6bb^uW3LE zUpqP=Q@R@kt-!4ux@N|e&M3DMS1!$f2BCJTni14(z=9-e!87v>3q!6fjAh|r!McEo z^~8%-wv=I6$Tg3-END;h`~|I7$)eV)@Ag^5Z|E-P0Anr%gA=$O0BI%5|M|IJ&^5%! z5|0Fmd20NN?H^Jl^s~EZ@w>_>_Ts@zk8$r1`6g6!C;-cFS2YZD??T4Ns*lCm_k&BE z=YX$B{M8hjS(*H%L~Y*tFFgjJjtq?FSa6hAh-blFbfaOJr&9Vml@;0+QZw|;%W#D; z#;{gbn1+lIn0DVC{q>9YG7z+B#?oHJ-Z=Na(i{aN9#Z=XfL_<)8h%sJrT{g6-L<5a zAcpjWvl@uzsbJza=d{eu0K{FgXntm4?^Cdwq#Tc)lhWSq8Vlr7^wxih(L zSUF5w z18|fkn}n2@d_#o>w%TZi{H}F;_y85V!691o*%O}k)VB<$c3E&>tr487$sU1@cE~c& z9`M!GG1=geBF_}g(P|`uW(Ft{NU;IUIqCJ=EgUQ_s$Lc6;|Yk#iLlma=Kh&{$g<*=9&jyNb1d4Bi9E#P`*X+G_e#iiV{?!zI%$-*p-~gmJNwF`iWJ%I+WOyc)m|re4x?LE zEn_>#Z?-})zv)PV`dxglMM&><<%YfnNn2PR=}WOE@H!5B%>96r6kxuQ4rK+-GIZh2 z1Z;13PJtOxXN@T9!teiFI`JwBIjRJ8U_uZ9(3Zk!F z1Vk{`Izy=;3@Y^L437AIDMCn-ODAAo9(!1=fRTg>G90!W!R8czagV{O;HMSE-jE5d zTj65(d*%2sLMhnyDzq4@IySloh+<*H_hsz2wX!@{LXG+)C~g@Kf5SUJH2w~h3+f|3 zEvj;~9OV5Sc-Fz0bF(e%!LzO&wmKXO*)BuIEM>%q(#~jR9xFPC!6(wMAUY}%#Bf%J zQ(Zafnw{`)(MhF77nwo!E?f$Gz93mUO}l+%dB6iN*qfd7z9UU%9L%-Qh~w2W2kKj) zpA9ThE%eKWO@DW|(#13tOKF?ea1z=83@xYCMl~4-q>_3^V!IaGZ2>Y&1tUmRp>2*1 zaEr8w27cS^W}n?rO}V}64V^bxg4G3`@!@yjgnOiO5TEdc810NzA=P^LFexnG6+oy{ zwzK(CWL-&&5rSm_n|R0Wv};8<%QrIbG}doCNg%}@b>Jw|fenu_N(pa}KgaOo3dp8D zck~;vV#Q(=VUA;pWNr4e$?vK$Q<5uh?X%)sm`ah!JmqUyw6j%*;tXK3bf?IL7@hl4 zlDw(85h^wiQYoq;|1r`mS3-nlrFqVhS<44u%U;;PdvwZceg(L*IReU?5#}oh|CJw_ zELOo&RlBq2T$uU@-d?ttp04jw2M%OczWYQEdNPLDdJU{$+5N@J_Ass{|CJj&(PBNU zK2A)Us)i`AFwov)a$!vG93kRE#r4A?D4(NMELk3V3UZZ?Wrn&%!YGV3?g4`nc?Sq5`lhKl&B%zIZN6( zp$S^*GJJ=ie>k;MWr1c$=S`IyR9EEK&aBNoN#(*3k3onPSaZv8E-nYwW&1WifKZP4 zsvCj!KHtQh?i7pe$$ z>uOTKE@gQBI2)RwYfeJ`_b+OX5Vod(*+F`4M$Un3BwC@gGWptLfKV}Vay!Ruw;}_JO1wc?rFvnL zwac+m3WP@5$yeZAMiLln8>?c{ah^HrSBQK!kflU_n6zS8VR#eD}4Z@N!efd{4+z}7z!HxdxB@b*&FfSOJ?(O zbr_eoP-qFRAk|dw95dXsOv1igiQ`hiS$!toA-l0E5x-b(&W@gVOTSMZaq=beWVOBo z(9#*qSB(Zn1=31vS!`q=g#w{sh`#1aP%<5xQv%;G#Fa@Yk{+Z_p4CQD08zANo^GnhrKy$mNsm>>i6jtS zQUy99u1~rl-EfDYtIrqXG<1m}7}2w*>J`84t6FekuOA;y{BM2!dDtSC9iRk_`idFl z9t}8@u?VGssDRf`kol-XqYTO5>nXwuQ?o4278A=*8o4AE5&&z$t;d_mSxCU zB20=HhtmN#qBPd`Kr2|^kq#U5edYIQ|Nfwtin=K=mB6`HyoBmTPn$d9fL`FL74bQu zq87)K=e)nNtGsAvHG_SR#mFU{x^3dS#Sq$<(W%;I8`={Akc`kua1@dr z-Lxuvx@Ue#Ix=cO$Xv74uy+FCWXG+sCpx%qO5=`b!=nOg5? zC+FU+hpep*$VgiofSxHXf;M@*=}3=*F2W9q9XPLro0d-@ML>N>)*ak}!LkRQ<>T50 z1~8efo_&`meR6sCoFo@MJe|QEWnfpnfvn1`axU+?TOHM@pOVa*V2swwf;KcYX#&7O|ezm~iw8q@ThSCBF;j?{ktcuLq z!~a7O10K5u&m8u9Aal}m!>4?MQF5N0@Gb$I=Q?YR-}>UXB6KLM;lfFORAg>k)ft?C zui@ow=k}3Ao|)`NXsG+I+q+6=muY1dTN_ly{dYApPtr`HgCp4~zYhK7rpc+Qaz~&) zw00F3(1Z-DPdWP`Al%`bES^8F`#9JJx$U1?2b?BR8vUe<7v6&cWO&UW^ScH4&! zjgk08fAxzhy~ll+^#5a@UzYo(5`O*?|KIIr#Y|t?q^PAiW>@3PeO4yT9tQ&W0h4#u8C^Ms!<$Haii;Pos=H=OsjHYaU_ur4Xq-4S5&2^j|k$W09jyEW9w z7T0phZR1Ys0DMnH2N)BCHTI4la>XwDMTiXmua5)n#LBXWRIDHwIOJ!tBVhWGS|N(* zv)0NG`eL*gCMQF>29+!$1`kgL!3yngOThLS*Mttze!W6+HQ090Tc(x1V{`x_zlNp{RsnU z&;(b10+tbyGQMVMDugZOU__L!hYyNmjoR?XbfN&LxuQAFIyVgrD;itiWY*4|ozT~C zum+7&4i$LjBlfRu?c;|2=o+DV-zQCD6?xXRXmo4$aqe+6Wf>55JF-Nkf5UYW z!6B_(cWXFVX1OX5h@+&=S-4qbBuk(c^E-cH7o?<+`Bt}kI+8KL+II36M+=Zvc%N(> z^=wM#Hffd?=}T1&2N7JD!D~YPucXs-%VLh7^ipM7pbed)rFjD7&7WU*l9 zM29f}I0T=sa9QhSwVf4z&FEJ@%2(;vCLN{vWI-z?9`RTz8pFUyC;uj#cxkX(CP*b; z_Q}1mWKDW0#Rg-EEL6my$3 z(%Z5G$4sTuf4D0Lj?%d=_sJ1&-I||tn!wc&eNxrL*&54L*VLdnWunwRu_-A~^r`k$ zkGX$6%w4y>NG_zPcT%g-_m~^LHSSoB3X+|-!Va`U7HluPRCF}Xo?G-@eMp} z;P>~GICbvZ){VVQs$vbj)g$R%Wt)4xM+g=cF6U1f(vBbFGAKr%;{yViO_>&MNV}Uy z+JmKEk-XuxMP=B~=&TbcVOh#|Ue}Z_@>l*iUtm6lO-r(`0KRGpSh@?31^mySM{ngj zbk>;;L-B4F2JIY;7$%O2A3tkOMe6CK`w*akZiglsqJz7{Meo8foO>Gy6M2) ziy8&c0UoJQ=yZscIf42plc#cO`|9xw-ZaAsl_4GE@eJFfAgxVa$Wfgzcr-Eabww+~ zTL!MHks~cwZesVk|qq>0^<=i4(46LXn zPZw}^I-o7lsIWtEWLg)%V_>IhTsmqkpE~*n&xai5*L@p?GG1(A_)Y?<&gX8%!Gyrlghck1>fe=X-GAY&x5yq!&I$As_G|~ne*?}p z8FF^rWL_Px(BWo5fu6!Sy`iKB8d1DcrhLnI%o5ODI`&L&f$tejQ-A=sa%P%DSce#OIchWt#ts8vSUT7C>d{=hh^#wS1y`d4hl)D^#_G_Ph^lgYd zbO7UB??qmJ)V`2|5MSfF6Udr*gS%sI9zZ&i?aO}os*>OR8V@2>GRqiBvzP=Qv(efH!3$|)%s!}VC+!bny={Gcvb4ib2hATko{7&IEx*<2EP zsac*`l8R;)pUk>qdTS(gC24FVEizKN26}Nr;K*f)v|5z6ca+zc^}i18w0z%*SQ9~T z!Kc{INzv&)6QIw=o+Q;D&t=gODDrlVEiOCr7km;9f74W`Z_g!LC#1|S7!4O{hsT&R zV9v1EHK0w-q!%%tfCms2QUfG5#e^ zsMw2ONqL3cos`CNiqtwR!-=TtEa4ubg}lPXMtexE@D4&>M5Q8kAXpDjtN;7ooDic<*ibRu#%#W5_Y*4%uJ8*Tyl( zfp0YVaeL7mAAZ1uy_l)_>0}?OebH?8WNfY#Q(h?X-Tt+vjhiK|i%iRwOT0;FGcA%^ zzPl!s@8M4w^_;O}Y<7O(UmgEZncfft7&*)+c)rC&IrjLva(1-oKm2iNbEI-*gUpKBEi;XDkaO0yy24D)ajjVhd%>erK1$vXN zZm4r^d%CqBd7X{UO2M)d~a{hHO(wO+j*JhpcZTo)g3}a_3(}6 z^SHa+kpul=7))vz4lki5iwj;ORwoH4bio_T}6H;LvR+E>a| z>PNrcJ$E@WcJ3pCN)1r=buL1$m^;%f;)XOI5EC9VQjmtdkaqEV+6%doCZ*#AwPXCW z_@X;t811yEx;+i<~<%VjUDzgJOS;#gW zlSyjdqr{v1M}I>fErR_q)L&rCuO}T88)xEYDs9v|LurBZ)@1WFcP?+(x!$Uij58n0csJOn46AJqBc1I49 z!$LImfXU(r_3)1ruPK@IU@6ZIQBq{D)MlKW6Wi3D=2|u=cCK;ss(CdXmpyHl_Ilru z?Z40M(e64??j~oIu{?|!JDrpm$8TZvxZ%`vH*iXX@kiVyzVZS7O8SgP) z@>2so=3ZB*R@26q0aIqDVH%T7b@TAO`T+N$$Iee%1^+8$sjhCY6i4dg_rLhoTRP;E z zFPBdEG9Zzm&rRN@kT%BoXg)Q!1aUn6qG!+IunSFFEv` zFveTlO?N!y;x2FRy3*iuc)hq`NS0J*7Y})Nd)hTCp51slJ@9W>sJ-0P>*a=hHGzh_ z#B<=jgV&LL$_Gha_&iB6uYHB{f;U96Ms5LPE${T%9wgNRQ~jH?I|`g&W&PbR7|6=E z$%fthYTm7QbtA%lmuatsN*t5z{!hFtwI=v6RR>ZSy5wY!@Qu?PG+`aC#1I01n^zq$ z49Xqtw2gCPgT1ieho!6ZdT5jYR)oGnI`08MgLY5bIGI#?yM|(}P=p;WM$RyW6%zUy zySOEddw;~uJW`52rNtkzvh6m9Gq*t#wiY%BpLuuIqUFT$d(n5eXQ#tsZT9WZQKl2A$nD9Le#SPYWaqY z%ro=5-qhpvcv>ob?IoS*@giR0Ock9XDo8#o~ z$@l5x`*iYsHu*lAe7~K1zny%)n|!~Ue7~Q3zn^?Bk7saKp#@w3pP6)}tXQ8NT3ENV z@Us>e136w@87S{m)eU{+fV=_l@-2wxPJ5bVw?Z{6U+e$lV~4b|4iu6_(kHJPxPim9 zh=bI!1a}-Wm0?EK9P!L&kW9;1AFD2D9U8Zyy2D<9Tis1&GdDoFYdE&EdS{IQalTJz zY1NYv$czSZFG)+WZ0vhFC-a78--eGK(i0g9hKfAFvD|L&vMdD^LRRDL7~VVO=3XZK zjyeOL96(fW>ki)My80gcBY?$QS36b_%I1K;yP-#y_NY&n%f8>}oZ03jzd|&Ciq-u^ zp95|XzMrH<-d4peXhWo9J+IFmhBo&&Lg;BNC*ZHQhswcX7R9~~NjS8bHX$Q~F64Se@c-5A0rC)OlBzg&j-co(>G&DS_ zL9wU8<(Uq7*!3|ftG?c3#V~ggd++$ZjXG!!2~tajHY{Vk>C*qnJ}byyQAzyYK4r}$75U4wBly3t4At?hM^ZN#eFovEbksYNq43J9(T#yJjAqwkF! zpS=NxzhxMVB|Wn(`NJm0ThK+H^QUjp=c8)!CQZGtyX@|Dm)cxov!{)kJ+duLdRjmf zL`56*v<#7<;8s8)Rn-?KlflwiY=nKj#>3cH$&4s zqc=BIbB8tBOHxl??V}w&sqFmDQYQszpH$=XD*)tS)2WI;J6-#wjOY%mX)Rna^wz*$OENdoszQS! z*XB`$(OFCmUGt>%ZFSZ|Ti~EC<6GMPi;Q-B+O5gTJWRwa1KVs_9NFW>1vqYwXMU|O zdEZyFD2!~NOG7NaJ3rPw?wyO4J*Qbin?}pw@wPlZL}nX?b9%P=D~G0K33Uoq$g$CD z!KlKp7-YkFa~<y2+7QjQ%-o@+XVk=ulq8G_Gh{w4_ z7%eSJ_7~g$%@gsb03MHRMF^x6^N1fx$kG;%JZbbJy)-nL)yFc~A=YMc%18WRGfmp2gW~k0P22-$vM$bi)>)yCzs4l#m8{XH zlcV44c2ilRD!amf9h)7+uz*X^v1<+@IhgX^gR{PT>Cr8l?7&i&`~Fm>n} zYfgIjdA7A#uLGQ^uqnx_d#8TuXZaI$HTx#fUWF+u{}$#u{kg02`}^VyP?nr3z+Qrp zZ)ZGmicBzyY}uSa`^5&IRv`KrL6X$oFT`V!M}|`l%mH}Q1Gb1ZEUFpKz=M6{5Gq)4 z`bfOt8%WT1=+-A{izmsnZr8GDMlem;XY(MeZe-76U9;3X96W;o{3{x&Lhhe%f~L|r zc;9O<*-wl$C4a(m*WxJTBLnc{8s-Uzy{9~*BUpct<|*9Gs10Y5ay&UcXcp;ARftT! zb8{3}bE;`s-8)s0-y#Qf8f+On5s*s3FM1sB4tL&q>QI{u4y5Hx}T-H(7V(zxdKyZ{1c!N2~iiJ8zmUbNHvcj{@twv8hqa zHI3H{2TTUIodJHtRda1c-g^v3P1PC*3|`pq5m2Ero|C=WLp{1`_EmMV`RBEBx6fPL z6$2=SGz=ER(2)Tyrv^!0Y)Ha;N^=LI)l~cl^MoH8vNPuoop6Y%aXEFhwL7S;V85v>wEdz2z z00GvywiUBV;(ZJxJ+xR$G^%N;V}r!(R^mCXtwVGo4$_I7oFSDQ+?gpH{ieYTP?F=)6k>j0XPs9iYO2 zomYd@BLS1rK0hHBAmJpC$aT=K1?{2bd`Ho?x6(;3q#r^^4IKYEc{fH9Q#Rs=`Z*EGdZfhDMAlG~Xfyt7mVaK&^<- z?gIurBV;gibynARq)UGwjiS%OE?xE6c=N z83KbLKGAb>mPaFp)yaz=ns*B?BAZvYKt!dvw48ZNhWxa;w{Uj*d?Gi6PagSrBPz6N*&gVkSV0=F)ig7oE(ZyAPGn%!2V*oPN+`tQu5Ru<{b z{8Gqpd6&7&ulwEzd_Y=sb#lmU&FgxZRizk;3p~#{<^{hIUnW=I82#o&VB}IyyzewU z+v!Z^HaR4xu1q9157Dk>Y_gclY!`Bhtb&l&c8r-B3vK~MCiXjiWH5|xhst}al|>dw zc`j))d!m#2G%72I6eCMF2M-I!q!>*(bFPh>4LYGkJY;@dH=%D

      >;d&|~ICUw>sx znT2cJC3&56k5+2hq!o3>!umV3KmeE`br?a^MXUeYEI8957Y_mH_kR8!;3^w|FpFPv~r?Jg5>NeUd@4WM)ItOs>;Q|)L- z%o>C*L-0Ypn(t4kxqM2yI0%_AG{rmcQqRqSaTg1WY|gRhs&A*0Mx+Vc1;><6B)FJz z>uoP!G1nu{=vLY>&=J7e>+8}~+t!}x5p41{uOU6N4KWcalpibIIYU0$j$1wFo|3Rc zMGn*A}iuF$TVKvVHh=Y2SD2 z9Ium9FZLzDLCsT=v}b>5Ej(4MdjEnoCU(GW4&SPV0g7FVOzJ&ZCE1;mCfgF2#)qs> zN(pdS!#h2VU>OKMEclWJ3Ec=$dfMegh>yF0N~$hQr&+ z@X&WOFnD<6sR(S3mvpRB94KM?k#-zgWd5RYq=RNn=79DJ<*xrkLuvRks2ayoABGM*jqJ>71pBiRpdp@-6ubLa&8jof(w>=Vz&MOeP!n{r{k*&;n`0Z+v(d}jEGkMDGIQq{7OM0vgwz~fMjZkpr`Sq9xLh(}+L z%J29d`w(`oNX?^-d8ev_$mzSRK*PRlA1a2rghHguFYwYW068K!F4S=)ROnsOpxaxT z$b7LxO^kf-;`I&1H4~i!K=ViK$i9oglc&F@X_6-DP8#(CAs%@1Qkl*G8$8>^!w=S* z11z(m!d*m}7Y*z#ncSIJEsdBhWkr@E^=-y}DNe8i>mGnpz`A|Rby>MnlP26yQlQbe z2&~82StC{Us#PH+PX5l(K8OL%+VdTAPgS^jq&^M;@bv+NCEKxh+=H;S_3$zMDR`p| zcy?%XJ&l3GtgH@#eU88fWjm&3UU8dke11G2TYCwzzqD&<6!*AAt(EKBn!z98j(k)$ z5DhIU9ZTzLnzvMNdZ^8G^7Rx}3;29bT!yu-P~XwX>n^5vw@ zj||3>!$`wb^gS>|wu~j@`b-XKA!;|ri_c*S#lO8{Od(fd(7|t&H2cIpB>7xIa5JqK z83S~$v_p|al>s{SGO^3Fk&wxEFPO5&4V10!Xh0EhJz<4Q@xbiD_Cxw{oq?r$t`d|1 zaqZkJ81w2$OPzis5we0v%9fKCS9eDQpFiG@NDU5In($^H`e5JYFOS&{u`md&?CPh- z4w#-3<_X68x@xWmOa?_m;m94mMSBy7sDMUwo>F+Y098P$zcC>4mtdBl-nVFX#Kx1P zxQ4z+y2LdP2o*r_$xl?^NC4f}rBv~3U5cye(#H=WjRR}w%6GnE`%ddd;9^@Nw1L#} zVn$5Bm||bCmrm;k0&H+h_Q`geoiD2gC45DRS56yvmJn-@k;C{L14LE4q!zDYN*7bQ z*t-4Ix84H#qks$WrMi%L$h)ObH}LOuwiY@&{!6Xr9(T?j7$X$`jTJ2vAdd&2D;%1I zy<(&j&_P!%qQAkhmeerU?JGA1MmyeFNY%NsuOiTTCtYddCYW|bcH>=MJE!c_-46)OJrAtocxWTFdb8`GfWAu> zX$H{k`}3L>OJZNGCfVM#FKY&N>oz&zl|$EUg{uvzTWCd|s$0k>KR*f;pwpnL`BJqV zuzFKEmYJOoLfuG8#+7qsUrl-_yaqjUCIHT*?JYu@0a9LMMZPKzo)q>5G0dtrmPT(} z7U?aW(pL!%n5r3-i!yQaLvPbUF z0q$I~rz#P8t4LL1WksQ?1W>Pauix3R*##Om7;9Q85zlWFE-nB2P6JD$pgoeppEnM9hjYk+Ras4N?Sn66tj(WME0a@bP zICyMnjB8=c#OQKGOshx>qOH!Lp6u7^%JWoxVk=td`mCIa_R)QHOa%RhrU^pd;`ovA zaaWT`GF_hdU?j317SKL(1%ib|d%voH@Hv9Byv#96V+mD`A6=F4qyo#it%@pwP70lD2FoX=W3cSo?O98`NqQmt6EF|%>=mxs zS4P2VoTsI}YfpDe6g;je20qoBlDmp=J$ous^vb>vN%>~8X11eoY4H>7 zj{PtK!K0L|H$>1p=fz#pkuHd)^UYTD#AIvFbq5oGrc*OF^`E;xl76+q<2G04&)*uM zX){$)Tj4q^RR4#22>$}Q>|4eF+jK1+0Me|7?KJ_p9Y$P&NdUE`N128)3np^r_hu#- zd~EmFZ~Oej+~%>$?S|HAmrTD0Kql=bK=u|eNCv?KNEC=;;}C&|Kl{R4Z>dmKd3ddd zh*em+Efe%On#M*xx?+lXx#tX<(4m_;DH1d?>al4l|y^O5_cfMlJ^+gRqpBh0ZskF5M5VmcvcB7(0$i}i0aCQ z8%IsbHKdXagt#Hn$R(Dl1Ojs1(4GcvU{DLyAiFoPk&Zd(((Gu_vZF~&X+Z+np0zQ1 z#jHqh>7XJuK-wx0LWkHnE@02Tb~jy`TA@L@O0pSqo4e83W{AuuS$tKK;A(?e+hIDu z@^0vF2rH9)Cz00HtCAWHg^^bStUblo~!dRkz!(rJ^^C@O8-B)>=7%fu%#k z)SciN0}~p~sC?Ov+jQ93=*Ud&_G=8vvNnVL|;hDQ2ORm5uvSQ9IOfr-4DB7}Nx<`lMCG(XO~lY-GAE2hnzY1yhTP&id=cBp$z#{y#b)y960AKxN5Inex~1L8{5PD2FG!l%vPTx zt%oT{TMO@Tv+|maoH|vz#m36-I(iOLDUVhj?HenRH1b3UWWgV(^!^jqO zildu!CkZKkO&5hjF<7FEm18e-KM8n(w8Ab&%CQ`X&<38v1*dnOfN1F z<44Mp!Y*HDNy`pNPYgZ3vY<@Cbj_HShx+|CyBFeQ)m2COhGltL|DPQQmh?*=Y+)I0 zaid3j;kheu?e_~W#phCJ4CtWU;U>cD{^^2Kodoco<4JJiOXKy$eYz-NOlQCRef5gA z0;fGxPgnjm5`|Rxkl~7+U+l~2o|GJgKw#jjNT{R^QQOioydrz!M^6N zEOsRC5ncU9OOIW?c_BS9O^b~EjTB5XFlZB|0xKJiTAIkIR%<<%tXgFi?yI@epHlb%(4NeQ4!~ zw*q_>tbg%2^Ap(z@6>g44W*6xC=X8Ab^Vea2Z5?l}8iE5AhrItko)4khaemPjd#bOX55~SOR3+<6px?WYIWvg=F(7C+YDZn-g~f z+OYfu$f}kLyn5jOq1EImLSMQ=nShT)=kzBzqnOGG{4fS}7=Bs$)_?vP9w%4_X^QTW zmzf$)X8ba6^cp4@p`z}15+W~>C7J$H4ES2O%t)%lL0 z=KK4yQ(dLqhK~h4HoC?hklaw+s=S7`h0A`yd22W9vTJ}SZ}xOjY!2X`wAZ;@Cdf?( zUJ`{mZH$oRx{m)UT81t_z?cOFK4+wp=ECq|T|X2PUx`L1k&Vp5wlZ z0{C$F)DgHp5k7L^?L2PCvOiMa4k(ZXV2!2#Sz4N}Y8g9lW<0@*h0b5+#@3D@$Br>o zrj_eMA;#huSZe`ijirN7D>(nd4Mg9&ae&>pVgoW(I1O2qoH^gM=~jMit$(~Gb~Sw8FGKIwdp6> zTw#k}T4C>+MM;m~vI$rlAU^u*UnIS~u9)G3()J$8;*N_ek=EH~{NzFQZq{-@T5r;U zjgN^d8!Nf*5`mv%{2pxHXR_w$#3R#+zJp^kh@NQ!&kEc=)nvg{bw}q&!)9xBn<0u6 zkZ0ID*?jdB+yD4O#O3AB1MnSTBc$aF6m-P*8e7mG!Mz;h=T_gcMCkG6Gh^Pc3rH_buqmlgWwPN*7aH3fo_g@u18e~^!*Uy{4WMY&U~Q)shU1R5 z0jJ2loigJV>O@0&pOE2>LAvE3^(Ui~;i8--ft7(Vuz&`Oc+W(pPD2@Kigz+3M=F2F zP%tbG?04bC;xJKM5;XR!1c9^26gxvQRE_?+rJ-^*?7T}^%i}fy*<=bz9R;%? zLkQnSj+EzF_?*i8J=#hTck9AZjrd=Z8BsPc zo>OpB-q{=(2}j<@4MR<+r2sC;(AaT|9hKS$-dv+xf}Fzk`Mw>`&~U~P7A;?L!iT&$ zt~_s*RnsIi&nPb7RDs+l~Igb|xv z)Q5rU!!V{M1uT(%8H6m2>Kys{bJ`LF4ln2*A=iMPzflG6slKEJv6~`wWe^JAA0rQ& z{7G|t|rmK;EY384n9t3K(uW+Nt&YZAKbyTbG6zmH> z&E^G+OHA3krPLZ>2GM|XyLjzND{PJ(W|w&{T8R)BK?c2$)f4j|;8}-x;6+k#*FywC zk3Sx&s;@UTJC+y)hrDXQcZ};9&g;Y0?OVMVEuD*^IXj$!qfliJtpDg&Cai*EQo&(Q z0;iy!=rN6yrem{{O_F9u=snI}y^272qus|FWdKE8nq?*E&^eXMG-+NuN_AiW6ucLb zGQ*BB0NQ(-}L#f(B z!{l;JR~LCef>ugOo>{m_r!Zr%rKaCl!#F#7O2zj~>q{ zX<{97SY4D%o=#V4o{ZBO6E9KISkIJk!Xw9R;jXNg$OU`RB;lxzy6rOLMyNaOTB^_W zd=I62#%VzAhdV|@*WuDo6OEHhr?2iF zHH`i^^)TFeH(;UgaWj(*OJ_9D(SSc)GAk1)xN^qYTjh}Ez48&G?GY9C!-XM64IyWcgX!{q4)~aL>e%&?aB@q z==pD?p3a)R;+0kPTbOBwh0<@(p4v=|RO6+eC{F>Y=wJI1h}-GN;zv%6ATHoL3UgbK znP5nhk=1Pk`X3jX)~g(JUu+hpczk*VIMJT`O~{6h>@8z&lalOfvJM+|!_X4)oMEOo zwx_MD)Bfzhm5_0&dO5gUIl&Q^hI1<5)`rt}4K5p_8uS@HfVVL*%teUZ`NmceTqCrod*tBo$r7^iJ0AWC3yF{YUrPwiS7}atGpIfBU3u_$+i}N zl`<0qGiq23q>^M(A-s?ubFx`-xP#^n|4v@v^uMe#PVANAGIkF?7 zrc_fef$*$u_F$s9nAW#;S8yP)9&g%fYRqY^U%kG+U)dYd@5m(IWc9kD^v#Ctajnul zw>ix|+sci0n}K9CIqj$I>WQ!5nZCC*<-=$yVkV~>0h7?KEm}^K!}f-#3^6-O)-$Fi zhE6T_i{($FHX!<#Tfn+L_PsP-9~p4#&s4}h2Pk`5(|jR)-s{=vFjx83BSB~8(@y`F zny$O4x|)OM`IgsCb_|9g0IBS-y~FeEKHu%|g3d7%Wau>rmj$^8RkExYles}mXH{BW zIHIX_1yHG>S&^LWb=Ty`4VXKCF{bv0mgU=y>(YNK`Y(E$|Muwb=xsX0MqGOkl-C^n z4>l<$KQ&cjA8Ra1k1{RjKM0H8c4CovDdUu+>6wbZeu@vWps(6y(25&pz+fX$w z%73CEl*xy%rL=*XL%(@%!_s&YG1QU(Em2*es^q^7UFNyn;VT(vQ^+z_EaDrVQxALy znbss+Isii6d(~f-6am*o2UI{w3s?X+tKta^id$?k6Q?AR+H9+e)fX711(}95kdXqF zZjV!D10+Vr<)fdJ8ehG=X$r2%ne@RhRX*H`G#rya6g)xlHBm+0^v8V1@fJ<&AVnj zNfE^{`hj2g_tlC0beitIJLD=!^m4fjoux&`4>r6qIe=f{klZCrVkC+K&k5N#2wdzy zZypu2e7T5R8cktcRY5PKesSZMfgjR{!S&hBiid9}jVZ$OUV5ZqMiNSnsD)$J0iM{b zt>?c)V6%&EIaIX!wp2no>R*orAX*}3spdx%Y~^Gf&_Wrv$y-r62ATkVZN+&1n`BgF zFMjF85zs@x3rO9!rAbs8bApqs7Kqlj#KA>{<&0bY-okqsuVC@haSpCboN~!Xj{9B^ z@IbgRjaBpTpLEKBHRR#8P6VuBDLH3MszGV_KqGt&N_lwbf7 zQwDsb9+k}9&D|~B+|8eTBCdxTseu6>QF9QZr))&0Ad#R@4GO41-O3R#X2b+$AR(qL zB*a>KAN#p`#J%@rwuJI#ya@Mm_W7T)_c?p7bt3B2hW;?9awOQLQQ&%UXvr%*!>EdG zPjC|f1M?D16U2U)d6r;*3|?-&J3|m268dQzq_MS;^@Od3@cN{{of5_-p_|ggQ`&QA zCePfR{A`iZH7Uag%SycQR=t?B!9rrB>Ab}Eeb-XgDd_J+>Trj)hOwpz0u*Zv2>wlv zne;@D<(arJ(WFrvyQw7)l?J6GHk}d%CWS{~3KLM}E51cxXBvuRw=q>5`mBC=q&LI> z;2x&)A_LQcIPzj{RuyApniC!NJJxTJ*dOW_rkKMxbvAZe!&Vfr-cY)4O84V9iOimK z6l^~19YY$=NOJukunre;Dfgr^H;c~~EDkcZ>^;O@>;e&V83t(*!&M^4f*_C4?G(vV|XlhN>4;QPa34rQSx z^D{Sbb=5TV%EcK!Z)@gBvMgZ>Ithy$r_sFBG}UxbhIE7b)JtB`1KNoq(*{}2+(T1# zT-Q*mwGYoYJu3&fXX1R5F!Frgte2NkSVrfiCK-Kj(H2+xjmW6^sSt=HEis8Tg&!gX zl?c(Q`OeE#zmSDNz~WA`08_{WV;=L1*e}F{GV(A8K7EYi6q}814OJm%+p(ExI82x% zjc^`Y#@)qkbErR!6PTGs*pL(_g%?CoY8`qq^2oFv>K%KUzz<^%_LF@f>I{Qxry9ow zXvRxjSwBrR9;7(LwHy~ZC&WN^L=qf15=VIKNsSDRRue^x!R6{nFvlzu13dg?>sGA8%+@NPlNu6@`8pU<-z&LQe{! zXeFUZb0)%2<|JtnyOy}Otjg`S65JuFFLsC2bFwtW_v*93otc-_{(M*9z8pGfoQ8?@ zhd=!08#-SYR=44|;VJb6s=s_Q{${?>*9{_(Zscal5*jCJSA?fxB%J%0*&kv7e6SB? z1+BvK9zC*^2M>-$u&dr}*U$p#w~Rw69!Ljqs8L66*Bp=NF|t1d5di}V`WiU#BaHSB zVam`h&fSyBkelWh=GGLiS-%qo~X!fg8BF$|sb#O(`j_!d?26YSS>ar^v5 zLNOdDD`=em;EvgmFN>gBepC|t>Wui4cBWGhCE3c~nGk}_*fjY=hJ>^%sVfZQYaP_@zN@q@AzXv;Vg7lKyMMlOuukUPf_d**{g z8~#k4%O4z%&~f|nY}1L7s8@zEnGX0SES*-B_;>1u&+H&#vG!%vS;v|To*U*9FT?tH z&QBMo&JR?|=_8a^<(AROxp_Fp4(5a^@K66#%GOYwzCErPTXw|O%wTE#?DW9ki#_=i zj?{JNKTtPk0ijUHDa_twF|$i*9Ka^DKKhc9NTAvY9%4tAm|XI(og4a0na_TPy3-)o z$&J6c{|$)){S|E*Ci%HM6Haa3Fd6@Mnl~%*t!{*ZS+>G2NH=CeYM>Is1+dHsOsDaK zrS##&5#kdS&nu!yJfn%fM}huZ1mXlgs38FjM;8TEZyJI|Ozbxp{Ky%$sUAkN&_st2d_t^N?;RoZogjoQ6NxC% zEvlnzc;PW-ZOT`AeRlo2l|3PUozRRgJj_fA%S2d8P|d9Dk&*c4g#KvACSkC!P4p#a zP(G{pRpoq@8QiPfthHO2L_f1nn>z_5P)Oy3_v940o*zS99l2q_T+e4MxvE#F@*?Tb zc}>2kr_?Ko!K}>v6wX&7SWG#&vlnSZF3-G0A(OEa1f_%PPhyEgAIKxgeo~ zZaW3|ss$SN{@5leB%KWhkE)Yc1Wi5F1^O~}^`_a(GmG~sMc}}er$hP(>dtpE`m$15q%mAjuL zV0=D9u8eP4b}ePReWI9%VvyzL`YwDVSY~#62_>$v3xVSW-_(%tT8yuvY&ME`>Q5SU zZSMQ7#SC|KUc@Zy^7*CMys~dx*M-*-fAmKR1nH3a*(S6ULyTVP#h>!WrtVj>?}k5* zIAJDBGDNLx85@X>ZK?hK|yQs_SmxrBvg(!`Q@e-n9~NCi>}1{ z8e?<~d3w}(qFUlY9JbVH*Ix7q&Nb&_S=b+ukp5MlEBs6Q zn3Ewt^K$ab$M!Wp5Q1T~=_`f_mRp=yWz)Zwui^w&?>BarztWZIdH}GE=JrcTY^sip zt}cvBgH7C)ja72p6gShX@Fs8eJo#jQ#`AkMO*~_ zrAVxw>j<6s@2$1_HQ-Eo`1)t~v+qa_D8!Z1(+oMZPHZYH1T5 zlqG|;;R-*?ce2^zFs$!^9ey5sTPruvguigFjl6xw( zb58iB{@j|I^`!PTJvRkV?){BN*4cqS?r%HNR{r(M#zk^Jx^2>gLqqkiMHfk@Q3i@|a%GPoCx`Oe^o=#3AD38>@RSrK}|J>6y~8bhPbC;*mfo^n|$Ts$ifC6glhqbwQeTOLU?Tkx|zr?sF5v)J`zfWuB=vM zJ=G8jj0Jrlv^r3&%(r&F;gdlj5Tib!1kZ#*?YMCNf0V@f*XX?{9+qeNDw$P2LI4^R zf*1Xdxww^U+@28FflroMUZfY#0#{?dmb)Ekifd9JZi!$0T<{t2P!-O$3y7Y6d~kj) zG{8_mc{ptfI|>XcZd1!;PA(S-8b~A8E9&P8b2`bKzFC#L2ROhS+nJy886C<@i3*ap z?c%Y(7d`>v%hT7En1-C~5-IsJg>jG{<}=9M5O!f*h{M{pa~DnIzw`O4Tbac;5?%zg z@c=_yfUM*{@+r}XPenr{Llo$Z1rASedj0-2B}OnuQfEa2r|XoAME-9+Sr(X$1xn;6 zG?XoUT1nXRwPj|8NsSHVJMF>zG@r`b$3POxrcRv;J>~i9%1a#Iho!tPi3rBq;BWcQ z{Ou@X!lFB8mz5-yEVy6T=O%}(#;DnEduV8H751P1v2o7l`x$l~Sxk$-SKa4?smk)~ zU)TZu@A{6O@KurT`U09CbfTx#6q8MOZ3bd(iX4+!@&t^sdOQ0w5d(x+Nwgv-NcB3# zNQjUvVFcFO63iAl)xq~QJh{D)gqPVu#!r4l9ekzdHFb!QEtWnA-w?189PsC!nKdxm zpJz_3q|y#Hhba!QPHsH~OQPP{z?q-Vt-tiuk4@Qk_d*DnYRp z;&~k+%jbM}L%>T}QU5=aQWh0(Z{|WGb0PlH^8JN?L{~%bjs%SZAXj|L3MgyKawudi zyp>-_CMpx##!*ljsrh=0EcQe4HB%{GtY^9?l#D5DWqNyzMgDSuL9BCg5Fu5PrykhR zMqc)gJYk!!`wAKXj$rh0q>SqG)xN0VX2;OxuV}G*vwb8oY0|Hmw^ssg`Yd}#Ae6z& zd_#=p>robxJX4qr2JQ3WFRostlQMFbQ^JqlkucjG%mx>Z{mqW?Z)XI4W?$7^;c}VB z?+CcF-Mr{_Gj+PJ+fDct^%xLNmW$1ON5b_~ygGP7Ie7lT4+lCrbFV%<9O)T7z>*K3 zIRvADw%m0s)FU$1!NTczyD!Fw-PTS8efryHa^1>#Et?z;2q%>A+@_#=hmascTUFfq z>n!r1Xa&TDT<4W=Zfq+t6*Wx#D!INCTH^maJ`;8OCMV(aP_epWmkO*gX}7akKDsZ> zX$&^Sb6F`xLNqT+;cYZeK+4b&6Kvm;0wg~bce_Cc-(+M+fP?14wm901wrY);HB0Z! z(nk#3n0s~U)6%_0>3(kV#SG@42O!Db$)4AklIFc_P5{k85a;>3jbWBhK>v_s-OCtQ z#5_sv^j~Z(sV-&cTwh=9z*iQ---ZK)cd79&Tgu^SK>#NjizN^-l5q zpUT(#;PkJn;vi7_Ldc{r!*8eYydlkYjpcXPcliOPKj}pILOf3zJFX(>y(29e(tLY) zy;R@!NBcGB%-j-zdX_GBVub*FKOK5H(wMx@qzkm%fUUr~%~yGQaSl1Ew;u$VsKYlB zV17>tE~KAaeCw(F=*{e*CWznboKTC1DJ1VMP2OLL@D)n*?$^E+kU84}xuo*uTfR;F z+~$+$v7VPhD%1acM71UonRxJQ>xNe?*c|E6v#T+c)I3p8;#EmrDLTs7TcvY#2800E zHO1y)=Nde);#FJsJba2-&EFbc_5N;>U~DxERUWIX^IPI?*L`)?Z&&%2``zP!zT3$@NiZV13=})Z7kV&0 z=8-$5tO$S2U)vmil#W_fMSK4AYq=O!pBLUJF}k`xmF)m-B!Fg;_1pd>S0PXNOL-Z9 zb8xty#FvT2^C0EO2cWKO%;ljTzh!&O%j%*`JI+-Ofi|>{pMK3nZEt=8ZGcfhl3lDw z)0F)6C_;%5N4|-?Y;(wT$Jz#(@F)>9dnqi{v@iL7lXo+ji6s;tT8FLOZu5_5jX~RK z@~0dpW1Fu8(cDpA4aEZ#anOv)J?}=U0*aLBub0aPAI-9=&qK zwf#Uwn^Pyw@bgY-Km8hY8>B?NFCrutnDIeHr1T8Q0?aT|UOS#!FQ5x7TR1wd8Ofy;`5i~(03DeAK zdMu-ypc@$}FCKAb#L(em)GtgD%P^%QEwZ?e)YD)%hy3Y=R?j<3fhzKBH)R5k8C{&5 zNni;&kVD3Ze-U3eQOw}v)H(|>s9}lUl$+B}ItfuBWlh-#s>pL;kA2}WH^Yb>SE&@8 zB=&5&u}YL+64(rU3DVT|v&j0V{=i&c>6Ml0!RF#>cB4h@d-8nY`hVgnd9+s&{>mpz zV*m(==Y9lsl0hS!^J!BtX0BWBX{1ir2spJ@{h=grPgPbkDTh8M&2oP{_l-dj3I<5H z(9U^Gav4zo<8nt_-VU=gzF#d=#eGKTj9U^?Um;;8hnOx+ei|U5q>a*> zFZp(BrDM+Ii|R8;k@_Sm1)A^IiMbluLCl0hCN80}aZvXw7c;G2<>jIxS5pn<#RA|2 zHj~h0=2d45gy7x`{qO&=YbZlq7{d8=3$CiMA*5NT1;AI#dRk0pW#|1Meq9gPNzx?N zdz>KAT>h9#D}q6Up3k?s58N>WWb*ttF_}`!ps)^^Vlg31RJLY8IYAa<_c9=jnk6(u zV9N6cJ+~p&Oh_rbTwDJC@bb`!-_oT zLk1t_ms~Xr84{=Xc&=NeZ;Y-Bi5?hD?G1T6&6AouvA**)!k#NPWJsQbWX?%u$+Mvd zF|VAxY}3+bW^AxYbFWWld0-Ws_jFY)1_OCEq;jeQrn{Tp(Q#Kt`zRz~N;TXEw z$G#ppVK&bdO}T{J&k+s{WQk0kFy$#Ec>~JZEw5B#rr8RTVS&cEu2;F~JIN)uvzp5+ zR)1PSa_7V6SQ(>CCtcuq&^_dJV$320?1Wu!jdm%1{jK&~#Jwkg;Uc)NW1e)GC%hh7 zRxe1f|CoGcSMakbUuF7Cm}+8bUG}_mfXiLbT)gj_+|vm^IkXvu#GO#ugI&L_aBFJhR&E`^<|OVwT-gJN&-H3<;M#j zo)>~7wpboNOu~xSz9uM3mz`3Hn=JROW(=Yhcd! zNSG@01rE$g!053)I_&I|OOXFd&wGp*ln^?HoIX4Idb_=HN76(o#vybDDuXq>Xy^%b zCutm5kwA5wPWhfeH^pVy?V2p{A(0f@l(&BpcWm0b^e%FYL!ze4G6*CfZ*j)gC7C;+ zjV)T?Ke`E85seh&$9}ubWyMl+lN4SIF_B{^&xryio5jdfr-|53%*7URNZ_6C@|WBZ z*HBG>y*@&<(OY@*dJ(b#lu^I5hn!G-^oW|$`P=}i%So8D^Y*p-^ykhVD;tWgri$1J z9@fA8ROa;Yb;L8#d>PO&MtX?evlT-Pu)GZSh9-%TByx^rQY6 zUUF$k^ymc^ccb;bMg=Z~m?tK#LEP0fl^-J&mfPtGoyPZ*#%U`~w9+Jis*Nqpc`DG4 z>s+3gNDpcx`k(8-RA0?ij7)T_nK7CibP6HZgrDI-r9I$?h;@Dzr*}J?~VCTwm zj350J>98l2^^1Ke#WmC!9Q&Cf(XLH6l6wKkBxI8K;|;qglckRY{zZX1>BtRs@dLIZ zz2hh}1%`r~HU{#LkH}l(B|EOPtn@Jo>0ajW{R+lj*XDvtr*5#CBJ(gC_>93$L`^>Z z#cEL#-{m5O5#q3!_U6-H>~_TD%BxMg`Sj-tkJ=49^MBX z3Fsva;}8=CAv}iFClx9pm1H-HeKqsEWRyXkly#F6Bd&HNrkHe$Z;0{3QB1rPGYiLZ zBuqP-Sb(mo0&{{aojBr>rHpileR3qUI?3LyhtGP1Zf2fLCmHiRsi*ZAI_at&P(-~L zhK-StS`+IarV3I1y4AU%DD~hp-f3v zryO?A&5U!6YyIF=vJN9&s#s~-roIm0>Y)uB+-5qWS z)8PvPY2DNp1+Gx`ab7=K{xZT*io#JwhN=}K6b__Bn3egIlu!9(-mY_AAvJ>>ZcEXh;}!2L+VWcR7gygKuYFm40>v+@ zAN?N62tHHB|7{+{oWUVyofAq1y8pi9oFZcs<0YIN8fd;NETYbuIC>m6#L*u@Ib(S! zNccn%k?P2Y2D{+@ph|Wa5&SWW-H_A=3Be;XVrpjAj8CEE^IcnXCbc}IB4OkRp|=+# zmLZ!MGEglfYy8pR?75yWe5kr3^EOtJbvp7+y3-g&yga)33SCXbEBmswSt?L&Qx#E-U=p-#k z!+`L68F^$wm?2pI&_g8#N(N(x-J&o;v6VV;oH^`^P{`98iR^47x`l-BXuo2mt7wl6 zN>cJQIbo7n|Ms7J^9_^;zK=QvjjV4@a%z)=Y%5Vcm`SIZ%Tr78V8MYdr?VWAlOvoQwbXAm%x#OinO8}k| zhEe@#^d{I86O2t6Xfed~B473PhLuAyW2Zt*T-gQ8B{5f}RLm2s$aT>j>gV?G={xGd zg{Z;#^QOEMr$cQY29`TgEpW-0_nEQ$Ihc<>J*~t9HD~N2)^x{bTj|ZpL?o{B<~gtS zHQ7C}mmwEA&~6GE+4ghYeERNh{;YmRjpWwrx~-mPn`>0UaM!4TKsU)bBgGVBL!hi< z^DeO7_f8@2&BTvKCwHxw+*M^`XFt%@0*dNyzdJ~&)Cm~f{9sBB$6g+pm$aL!Gb7e= z3=-EPn!=jQ?GULBQLSO}92#<6b9k$wrRl%wyF*!E3B20I>kQU=ZeBa+;b`jNJ&ff~ z^EGkKeMk0-Q$6;vj4JG4mWCfa%31fL$wgKexky4`STZovau^vf-siC4GK2Xj|1ADN{f>XiQ`CWNpO2`!oIU<>sgOsJsIrWO zsA>~WffcUnvTr{9nw|Lk>DL>*@1fbUCc4$@0rpicOf|yGxGGO((V)gtSI*x~Gw1x< z|D?cnPo%5GU6pjI{h@pq$QBP3p`>XjcI|Th9^{IMwiXF9hFKJF7Rj}~{j)`T1BqUj z!?98N1ZYl0*|4d`MjtwwhVYhei)3p3^j-B#LQWfV{L^D`kOyuhrppe zjN6iFc05j6FPs&2Z&$e2vG}6jK=`iYWj2P{pvN;*x;mGy(D%dpP4nk%+ZEl%dfaQ@ zEUnV8SqYt0X4keXcEyoVWbA%9tFLH-etE-Z6N8DxX zs$cW|kG{Zb?!MPUH7_c;e%@V`yii}3ceN%suFw(>b#v*umWAWc?lDuaQ#QSM8yhyb zd0`l^tJ0w9cTKS@ZP}We0Xy(Q#Xg+!^I5tu;glFQnXA@?a}EjDd8&y$zbEox0j0J+ z-7WC?^tyL^%-iU{aa55};@%l@_q2d2`03Z?E_Mq|qI

      ;(3kz<|&uUkg7P`-%-=) z>_C}xdSsdAVo|p4>D=NIVk=SnyxT*+lGlXi@%19)gUW$g>QKtG*aFUgwlFwF^Ud?# z5}=cbt#SI)7WhCbVIk@lHk+1zN=PDN4R;J?qpKq9IW8QddCfi%{ah5f@h@Y@X-t_1 z^*o9_v|&$pbSNjUxnbKrwKaLB>8acBfMFQD()F~CxJKv0rw;LA81Rr-J_avJ>Cm;! zyB_OfPf!Hzh$1y7=Q0kWrzfb!FZp?sJ8ipL^GdEf?E5p;y(1xS68;nrI-2(ss2o-r zEv^^AGFIB`Lr*giJ-N#d2YD=NN;)SU^5vDLUINzQ$zp}jo}(nez(O27+^~-;k9SYb z00l`P!Bj2$3>5?qe|cHRR`PP4LKM{>y|G87>~sIb8(c;7c`i{|ZrzTM3b%W#6F%ue z@uI8Sq3+b?{DtjiRt#Zbnixhcn^prK@I_6)Hc`-H@SG!SS>@#pLkF`zXS*s1Hzt1o zy$fKPe1sw(*Vn>m6i67FZzYruy?=%NRXk4OZ|tRjGkfcaiYjk7OQO#_b}yxIMnQ-3%7>N{3@&+e zkHR6LZxU*(gtMwoEtAG!=Idkol$1C6u-x_CT;33OI}Afaq0u5`I8PZk?3>~O^U+OU z6~>FC(U8=*3LJPt3LRWt#`&HOlhQMpq9Ic}WRlxO2Zm^EoH=~vNZp~B*c#c1r?+%{ z_J6J`>>aP_Zo~UZ&*x*hWJ`u@=~Xs@fK`=nWU0#uyYXT6Q)4 zQ|RHJE=uuc4g%_#aV|go*VO*V3mpe0{U{tK#^g{Seg}>a8jzP4b1ur3sr@OnMqeCj zK9>hkl9KdrnK-!dRe=3+f@--bUZLb9L~!$#S)%!9@P&bQdNLxu>DrhZyJpMAY>Po8 zk9)5XB51Ntz_Mj(LoYoZlo%cR+mRQ-ev zt&q@j#38B^E|O!%HOYsyKrbeUb`vx-TBh~p4n7LUW@c=ll}}Pa;7cxV%;jJE5(U(k zNoh|sES-9(>!&88KV}T(8Fc~9CatgDOBq*{<_yN1;cZ2+r>v>DI$0QDvc$^_(QKCM zC@#h&5U-siHTkAJC!Xbtt~(^8|4kD4CfB&={rMW!8^JvfCG2YnR&JauQ)degsnDrD z{rQ-1fMzf#qfNsznCAxH>7cMRJ?(!S(Cc0<G9@%)^DH zoeUmdca+lMM&UDMPMYVohdN;M(NC|*i^Y}Dn?=RO-u+xb3?rmf*)_Bj#pXMg?WsJx zXR^fOZN+D#UtJ7{&5aY)-uErKO{|8wVd>v3&d;ukGe&xWWk)zKbXEh6rs`KUuiSVu zv8Vm==|5}nEtKGv`^@|%FB#m)%-`P7ZPDz?=`(GUr+#V8q3N+z2_cd^&|;R>!-a(O z;=^65$n$1}`7^VtpaE3#9=v>=c}MiGD6Zu&(Yv7gh_>O_KvQ3-mmzU|-NtC%#^vpy zp+Z$xc5SB-igiPiTps$M*75?C#kX`Vv0r5XOX+%Hy~1|c)r;BhPnSO93QM(!Q_p7r zQc4Qe25~;0Nn3~}ve~ENx8I4eesfp)_T)e(nu-2?8RQeSMTxXwY`yYUna*~LdjS8+ zQZ|IOpBG-$eM7g%O?~|Io70Z_GofhhH@b9~@`H6g-KC5i19D6DUXi=9rJ=OxVURMm z_gPl4Ovrp(y2C}-P(b<>1$V%PSsx6^4K$jlqX*UjQ#-CtGS558D3 z<3CT`p6{GBPEg+Oobm#H^{bVtclTy&_QmpV*7)^>+}&FoZxJ8#{rYCM5xd+AWmBBB z!JRJ(&waOy!}H(#ryVB^@A3<|gH}(brdZY8aB5y}`^z0Gn{J|ir^y=LziJDX*L$-I zb%^F3j+64UvgKL-YA!AN$;h znV2NDA{h4)SxsO#Q`u5z7c}!JKOG34X8!E*OU3YUm6cw}${g|G&(DSZTvWBZZY$NC zafPX?W8IPrsIZIntVECItcm8bB0~9T#J4~#SL9kI4`5Lho2%XvM8#*m=9e467{17k zG^-b^?9|!PTj9D{80ll*+RD$j&G*Gc@@H3d@tw?}_So7lhQ@f!$m1P@o;Nx*U+6AN zG_vBl-vxg;o=Xg@m@JMCIiwk?XY>BPsd)|7Y%bS*Ee%TM`9muX9YZ9I8SV&3&p_$7 z>|9wc*M&y}{%FMQNa>otZaOMWS}+p|lQE8ooIt-0A+@%1r4k@jJ-z;~`u(#-3=VCk z>KRLkJc|Upp~Kt$_S?QJI(u6SDwBP@@Y0Yx16Y$Adt(c?+V!84Z`w?3i0(`YSi$bB z>AWGAotu1LUC*t_`D>mZJ(>~7VpZ`jp;lK4(y9|d`^{-FZp-r~x`9Pkk%Svj@v-cj z-OGh<<@TPA$2=^~`GvQ~!kT!b-(kBi1od#_xtg^tieig?G6H_H!Gb&tL<~a2aWz+F z2gQ{LIxNcAVx!@lf8kq;E%=+W&Fl-ub}A;hDu$$wj=@CPaHq@#(L6tLkE3DL-rG%X zmJ6+yS*J$6XC)yCUN`w=1#t)agV30h|8Oz!uV#x%TJ)zETmQxn-o?(uAzIg!{R>-y z>G_^x$p8>o5ob1?X1-lH6ITaGPjNJ9)Izgzn!e)&8h!h*z;nK0lQg~N^s83tgK2-* zRu6OlSD4t>Re4~DLFovZ0$(9F=pQ0VW=>5wWgba<^>^x>(|5(04*afQ(XO%kwMXuZ zFM9QU#I#%2max_u2wZxHI5qJ=d6+825@B{?DiicIBe(aFFGE}CbLDA$A?zX+)KgEt z818C(c0d8o9lr@(N1O#Qm%E02h-TNl^>6;kH{Xm@S6lWlwt5NHDozcSxwtSr)g?oX zs$$y-KCnc!oY6-lFkY69;pV8%Mgy?METk{FvL^dNSX-DvruLq^}qQSQ7H5*_hu=xaVm8 zC>Zi%dRXF6T(sR?5eaq&9GB0z`WyRnE6Y+xUNRYV!zHrLb8FK#`M5yw{G4i4)pkTVU(JgG%uL(9KJtdyn<(i1s_J>@duOG;1 zM??-x5^;;K`RqKFxf9IZp+N(DDTXx|3JkLh9f=JB0Yv@G-k@$N#%}0I zKa2vI2~t~E9yCuSF{H+NdahQ}b04gcA4-D>IId|lPRuYAy7pmet@^6k)H|)kfbuoV znoe1<=IC%aX1x?V90iw}F}obos`xmzg0N2g`arhec#@I2SvZqH>_x0eEq*1}(F92@ zgmbZHl!8nvsB1(0g>`o7!`af<_or?wU4XiWOIl9MaX!%z)YYkEaDU_pgd@5yh+3rc z${HBu&dLyk-Rz?N^RtB-B(aPP5wK*T(Uv-MD@1Q#X0A#;y3Zy_{ZT-o3Hmz$`O-;# ztX)Ff?WujRlK5J~_K6SdFu#`hlXP18p&!0AzI8086P|CSxIv4&iA%>;j&$> z^AuBc+=-&t9R_JOWpeHvC+ug?_Y9CwS(f$#N4{s&(7jF8owj(-Pt#$f&_Lq-t!pCB zv8xZK`r|NGvuY)n{o}qCNsWe)dPb?It{7%BPs?dI~6HI=tdIPm(oJbm$GVXV?Vf3bH|==xReida~wf89j7SvsC|8)mCm~H zb)Gd7ugT*6Q8x`k5(fS-TO+;%Vs0C(&i9&{gxR#m`|dayB8D@->f;VyZ}RmU)AWcf zn)ewm_x8JZIzMq_u$8juK`l7){(xtdI0~UJJzmXL6;!|5-iovF^h*6G9hW4w&8A!x zq7D3yKQLgI=8oywXF`1>pu?7@u9e`qdvJ(~WFl?>isB>@hW8*b{Q;zLNX!srv3TDC z(2O;{#3T&|V9G0y#Bi)ZU{XdjI^Tj|^u~mwJM)NGg1vezL7c>n93ENyFBmP8CNQm+wS zJq7>RG7cNuRclDp!F884b^E1bF3vDoeDEGW~`QOu}CCsvo!dOsX!xy2{x zOKy{`Z)a*6%xY@58cg0THa=)KqjgH17aJ!1`j0dcyX)yO)s*navwVF2XU__)-gWnw zLZ{55UZt6bxRF&;-07WhY8{Gdnp%H30iqlWMfBYX$TQztVCnD#KIR7^>K!nUHL6=Y zJ8iit8zO2#(ZeD=pgLXoEXckQWBujn^+F%dcF$Y5b$hU%+g1@`b4eExPJ+JI;@gaG zp6M?AJn^a)oumth-Js!B?8~ORIEQ_C#BNAs(84+a=l7w!yjekHaTAN| zo%xAJ`LoT&?Kwnj7H{J614kYG`$SXP@jO9WVMWoR*ZQ>=ED?s&$(=IOWGN2dZ2^TB zGyAZI%GaSKSn2)oytk{1K=QN~NgCt$HJ&+G6`NvXx@aa5`bJ1P1+0W-SCmBTWcdAs zh`RU#2kQ&FCUdPHWAw)TNd`~VCOwNc&ZfyaKYLYo|E;-6ki+6BzSFFlbM zK`R(g_tuKKCpenFss-D>b_i|h@a%B56UdclV<{KT>Wj@~AqGxwK)db%&UJD*$NKZ9{P<_G1eBoono+C13dSZ~o#z;cP z*#bv%q^reD#-(6QpvmlUF0Sg$1*)h`XGyIMz2`4R2FFzQK5TSKxH$?C?D}rM5vL^7 zRf8l19s<8!*d+5dX&;Nzu_sQfe=S5`Cj|SG{?ePg$3aPCe{@jCt*OBbHJ9V7`ZBa_ zM;m3s_w|E-zmHO-e_|qM(FM;IG>Ib};B9R5`|`F~etcaeeV(f@Or#m0jq2!LN*qe! z0KYL#`h+{xA{99b4#{^MiORhhZ{-(TH^mMHw3E$*Xl*i)vfjhAp%Xcj-pW3l3SM2` z6CloT^JhT66cQ)Z4$X zjTW!;+P|>3d`#NrvOLxdXXZ=YzC7Fd7S6+sV9H_#7;b1=k%+vAp4VM{xYQCjj?cba zD4~*7s9Xo{*rJa9{IFnr!lbP0O3(p#`NCVcFP0oMgXGgkm{&se)iKij(?IPgXXRX(13 z!sKxG8}6VqnB^;kPaPr=MG}tQ65}&-AiOIzcx_uv9epFXsaJJ30CNj;wF0|;sX+2* zv|P0~EGtY$>%|w;HY#^4>@;=Nn#P!uE*zYHG>JcUX9$0^QlSJPV^XK;yK6Q*Ryfcz%lcUb$ zXe2(DWdf|oEy?Jt*Vn4}?8GQOiXv0dznYz#^7?X7(JvG^HT_(EG=31+;bPZNe-oxv z?8oD2ni*dxduq8!EK@lM!uRI#jqER(4C*&muM5GxW+YbUq=dye8LoaGqbW5mYetG_5YJW)G1>w9a zWb6qMYmqxA5~khs$B}o)3sR4;#w8I*e`fps=mTfTE$q66(n5N6NQr_6XQF`jgh@V0 zADp&dmHE0hT3d)9fyZD|6Hz&qs<|Qh@3J`+7wLlp4G9Rrf9eV0!A?k0 zvNCe;L|8ZpThz~E{g4%7b|@=8)_OYh$xQ{rAoA`@+~+UdzHYQr1Joswj$`z#*!)EH zw?D+`z3vPW?l1SG{;fawJ-QB_n|jmBj*7X7wqve5lbap-{Rdv(;EM-~mN8}ny0xV( zp?5;{S?-edJ$C|!OyeCdT`KaPPF_^%XhW0nW6TIA?=gX`Nd!uHS$$zhwL`V3=2Z_? z=8wQtfG9Z2fs>M*r(SIsj2!!2-QMP<~Jn|iiw|^H{=T-U9hGv>qpMLe%-;pH% z;xQ7i7S{X8m&#kn3Mk97e0n$1=c=Qqo2rRhECXvMZ=z)z(N{zh^y%GL6}xF{%)FAkW!qqRKc*RZya>eH6}zSs0`o#T=(9sGIXf+z8AEIwD%aPR z0rY)GrG_M^+2PwjgT2wPR=|T?7^2f|22UzOtpn?CSrS)}icKwA<65O^|MR8{+ z=WbGiu$01L5`$&f6WhaemtBqE!ar(|k?G|64~8q)*m&o%cKhFnYy?D4Mi;piN*liOpVbZGA*lMNmy~ zIz+cQueCRhQfoBg;kYB*kTd+wCl{jJ4o*(?2me8Q1E8amp9p4>II|fQlMBU*1fklx zbgre(*c+aQJ`9WDRer|KAGA!E(KbtP$)(}{xHaJPSi(#kP z32p&%59QJ|&+)$?Wted?`Bqa?DQ{i)}RII=WGrIHo?p?$Dcg{olsA31(@uujktvX$XvVAMoPPZ2M}oJnw` ziBCr4+H^m$mKjCPkr%AzYZ;QC03TRY7*F+*i9AY4cwv~$t8!mNstzjx85lDzolYI0 zHDws`ifX%q^-@=K%f#v8#}Q#qxtK#KIf+nchOzCN*W$!AO3Srus&Y$u&lqc2c&XeZ za)h&y-aHo3m49_2h|(f;#MIc=J;D_Fg3g;|sf8LH1$M*shFES}bEM)ZhAq#>X%eev zpEpbIe^L5b!>>|bIyGK_x4{Cep8{Spa1^p$K&0>&a{tRm>$Lcum`<7WE(xY^|@udB5U28tQ zu}Sm2flNk+LeQ&ibn#{tf`;-V|z# z&OXUQgQv*jIC)mW6Z~y2xB3i`plggUH4)d_3nCnpf`Ls_@2(_KV_{{%YW+Nf170i_Ix_B3fp zQ8R-6c??*@ZoS}+Zi-DSzDX~3kSK9^l*ArM7G`jP{*ZG+nk2DnR`rFMLV;GnHlHSh zSDRu(Y+AF(<|`yo6eb>7Z-!9fv4%6ZOMUxjq=w>Jh=VAM(-8aakWDOl$v667 z$`$^U2j{Y%af&-r)bdysDLt{R;J>+DvmmTU#cYbfAEIel z;B#+X!jj(~XI}{ooG5a$m|N`#wCcT6*o&Xe+*$|4;A=y>ll$sNv$Wo2r+L-0I`)uj&fq0@}UpOt;4Vu56wgh*iI{g zp+KYE!s zF+B;cJ!TJq!Ojf{p;QMM-0rt_m~YeiAt_&8qh^7 zZ&vk3XvPv_Cx8Hr@Y7ulsh{xe_&|Zml=ZGRv+&H+lz z&@94Y^qpWwTL05~*o-%Tj1yoSsj8q0l!}lC4Nn*$Cw#*(GAO+!APp5DE%FxVhGSf1 zWcZ@Z!Wmf_HGMMSGfwD`!JGimor_N=j7CkKj$m>_T2|d(q@7qC)kW0sUm8NjC|D#; z#>5Jd*a}VBNXx1Clj#J;Xj-X~R~4U?J_tc4MMqZvj59nx|GJH1`fP^5xBwW`dltp0 zN=@n+T%b1}AreD3^eG?vBwnWWXZ`I#E7b?DA#t)y9GJvfam>u)YU~syPnXFjvP}VZ z5wI!0XGU$%+PLbiP*+Iq-H4!4CX9(FeEqBuW}8by^3*D zM9X*v(P&c3v`>|UbgiV|!-P_3%Xo&iIJH43eXqu1%#+Np7H2)BGjW4CRU8cNDZ46M zW=UsRB!_bC9>D7>($a*JQhIeZY zBRC7E!?~+uNXPQExJj2n9@74l8@L}?v;*xe6vBFVW?~w(pE5N9G6pK~xW*ptr`B6h zH@x-J^uZ!Mrxlvk(q~vviuK|ZD$Y-_dv_$Wre_XoQsw<^%VJ~17!5p@|0HS`Ci-Ej zw}e0CR@OzKrSVjG-rR&lAq(_bk7@k~`=)iqc=0%14NmDCq?u#7daP3o7=FEVRiB~( zTdF&PKArPXyCVV%3ZrLwB;NgeGQnsvTnzS`8`vveex4*9*-c4LELapFl&^rClocF%?D@b7DFb)h!M<$|*=-47RarkiVL*MaYLcL<1z<}MZZMrSd zgWhiX-Rd$W4S09z6Fr7=4~AxH7GAJIdyg1?~7Jfn+@CWquHh+Z{ZJ+X&{MCtW6Goblnh7>r243);GCyD!x=9;o z+R%CW^ec(4c{@$S5GyV&Tf*!dU*34;3GqqFbadmf%l1IWKjKP$;EsBg5Zep}qd{{u zHiSS~Yt+%zE!>->_M}QkeG=Gvm=E4KzMcu*Vpg{>vbuZ58@zvZ+hN z%r2az{i*Ff^5G(|4&@Qk@YCNf4~I{G@rF4o8NwJAY4pCixjMdRVinfAVLn}w!hWwqik;6$ks`)qb*ss-c6k?O}U}?S&HP! zd{bjZt>AgFzEzwW2IO+%AgcUeRLDhmtI-6r4EKzyr<~XKZ)AXp`=*t5Tb=C9YlU}f zMc<05l2|z&fLPR*x?4&PEWwj{DORh6rAIx5H}g;~xrf^_O=0W7!s_|PK&;mBHo;VQ zmeQMFBMilQlO^bCG~=bFQ{tUc!_?Vda6Dk!T(`7G7dIofJsW!S^rX~;mW(l8Rg9H7 zF^cbc>iUVg+=&(IeaYR>B1d%p!r`hE_UXBWzt@b!V%Isr939JO3q=( z?*>jh7d;){v|Bu{>!bChrUWZsV zd)4%plb%Sz{eX1xIv5KBx~yliK#Gg1R6QWwXYvTWG~pp0Sq23P1@fI~&o@Mqk`Kf2 zBhS!G8t}iOC#fOz>@FNyBrBw|-?}^x4qi|7^(WYWuTrh|jP?8U>#LM~(LjZi$91eT z@j07)O+LK>+v#u6&+{+H`-dHquAwoZ&Rl_M@JVW#MWW{MofrL|>dY@mdmg3yUl zCneEe;G?3NNW#FzqDh1pMp;SwQ|82Bk+n@Gz-xe55@;}n8VU{RzR>h@0tv~(BKAh?owyCt~m(DO^Y%<)32xkyV z&R~`^X6#;fD%hii0B)6BKwP`Gi5c9%r{;a~kHHNMR`D$QmqVcIQhi>nXJpPRa0ExsQAzFm2=- zKd`S$Vs$d-8S4q^V?*ci`q?QJke9#bSKrywpGN}U5WN3Flmr~8+Y14$-^)Dz&Z2e9 z7+pe3Ld7RW{j;+X82N1pC6f91ImT|)6fmD`OO>P@kx^4`OlnJP zXPCEn`^pGdoU2T{-dmJIKPKJ2d6_P}{SLc2ZMq3tOkG2)80Ide9e7 z`R-z`TX8<#3SFlqR}D=uk8wFU7VI*5`m(%`#lMc3O-VkNorji0Q|C{ce*pC zv6rGOxlOp5Z`vb=Q*k&!t?8TmiI4(>Aa4(!e)ZS?gZ-2n8*a~c-(|6F{|a?&O~=}2 ziFaMdw&${0c*szN88h_n@+aj*j@)tBO}^b0LM1~`b-L%<%FRaX=Vg_Yj=V)bzP_Si zJ$3OFUHZ3q$&c(?2~}V2cBNguqP=DHJZo@OSaP8w01zAdu+Q=DwCvJL&d3_Nr=kLw z_f>xu{K;wVYC>!euw(3!j_x(OxrVZiaf6l3xdlbAJ?eBxFkuNk@LX_iO>_^hWwnya z66_eS1WxDk%yS8Klut43{zM>I`TjNw_mZZPv~;=?PoZ!9?E$Z@`n6YtUXW9q9xv%U4Y$8I-%uGd*QM}f60o> zZ<1gIVf?F7ev>@&ejWJ``weS2ukNz{#YgeB<(M?PTqswL^a~K`zlw&v4z#^~qpz@K zaKGSZB{{ZQAt=%8ItKllgCK+>H$5R3>aQ1e7-l7rgs}T;`NobZ_*yr+SJZFMI}D;c z?QxE@SUKf#D(V_2$yb6EvgnP)SC;UQs85`sgt=RRMGAtp^A^*Duspw4^i@)O-fNZs zzv+yn&9%#E&)q9t8?evY70<=;DBitQb=mjqFFl8#AZz<%$2=C5T!SnV+gFKMgHV_* zF*|!4#f}_9gb6xcpsMw2q6eMNbVC#K+x$TnHr^=~J9BWE9H*YV>)fFj-&`FHCVguO z1nG54g^;*xMNzr>4ub^+5lyb2Z_?VwG9T8ZbCquXouxF<(si)$51N4tHZn$Z(liH@ zeoKG8RW0XJLEfHqy<)7=@lc5`aQnijkb8s>s-<)aj5poCqOtMXu9 zbxMAbvuIu_*_#&91b*W8sn7_NvO3)21fvI4Nl+>BT|>bX?^=a*WIMzs_p~b{9&s;- z=eam+34?prOQ;hsK`|kAFJ;x)^Msc5J)@?TAa)isJ&TQwByiYs;|IgBI{VIh^fHZq z6)w$yuI&CuV?&%}Ym8kEB<>ngrtsM*!ucRBX=Sdlx4uWLjVnQ0>^M!$m?jM~4#Ihy zb@J%(dBRH`2b6$@ z{#U^|5@|wa6ECLkVf6(HaX4ZH^1?V}D2mnj3a=yR0b@9w!XxUBXhJ9C^>s#2XJ%W~ ztJOul%k2;O!#$WkE!>@8{!{=l9ar?DI2QX#rqfm4V2Lj%$cmXfWk@)RB`yG}LF{f? zthkKHfR3nDhf(=cdZc&}F|ADa=LWNF7DK4Gh*MvgoH29C-L92T2ZXXy?4Xk00l}OJ z5KKf&k)P5lBtwU#Je7Gxn{O_6+Z&BFjwLV0$m7K<^BVW9U0rR8``wj{KfHU{`IJMK ztnv8CVR^{*%aZOZ@%H7MEW6drPWhFyoGpKJ@(bA$EGjAZdPk!U*L`X zg8sTh@lM>qRFy(vS=EtNYckck>OCI@cGSjL>qS9tH!>a zUa-Dh|9*P^Hhm!Y?ygK5(kjfmD0X5=moVxxB_O>UYr0_GzGRS^NNNf96F~E!8nLGK z@WWK)PL^bzBf80vI;kYhWMpMvJ)Hu4-k(zMB{dGy;v+QVk};=w^)M8dxn{Y@sA6hp zPG8CiBUXe_SNKHp26 ziCmq=UVNRFZ$z4wpktm82iznMn0DGT0%jmyV@7aECh>>P`*$S{w=+H})NK@D0bB8= zRk!3VcC&3!Sg=XOfldM!KG@G|isrQs`vMd9BFbfZ!5(|m#PsONHD24*IOau~b6q)` zej~BlCJC0(wn15CCsgz&vfb2IMWlVI2W^TeCRy3wv3pdWzATdx>X_)&rq)T ziAlnDBbc0YXq#q2P+Lq4M(K@RzI&s& zzEt|#or42#Rp(k=lYLPLJ8qSq`OIfhNeG;1TM%&)C{rx3z3G(DKoXqwGxbbNAq`YYl2!A&$aMVB%su)m|MZ*FRa2#z^SU(or@yRF8G|9B zH44Qi@P5N3sBAA?7&?KO34UmbZS&`n!PHZoJe?*o8K90~oM#>D-!}Of#vxgDn_4U& zm(Qyvw4bx_Ux#+pNx;8w8p#!!R7Hg9{Abx3O3x`|2FCM-QTFJsd9r_Gjamu}s59?| zoS<>S2LJtb>$F?vh5yCBEj~$u#~`4~C85ns>KrNbf5&-Zv@Dck1n$rm!-te=x)y(8Wub6AGe}iVfWsYyD-Um?BoO(lyNEQVrAO zdM^}JJMq)Q^Prj28PGb^7%1iO@cc%u32e12ZTZcgE&~|#o_LJ7RVndN96103R&w;1h{@}k1W>nX^^%;oUs%AH;e7MK489C?xMDBLO%Eh=+eL1&*os?u zg85Tyh9DHIm(moBogy{`V}`0lNnmUh>LVTrKjNHHsx-uE)_}kQ#Cj36Bio zS-XQfg%6WXM|tS$feET_x59?Ck$a^4c+RJu?wyGEE{lxgObcekhIfihO`BtEaZSFa zO9gB)=n8r3tojW@^w~h2VOPNHFb}oOnGdyb$d4~F(GC4s(b1ivhdH(>=+)~eC!6_? zDR9QqHZ(Pb6`?serMQLWmUB&w%r^y{oBElsV{6hHjs#9>YeIb?bM@jS}_QYpm_I=#Mkx zAYw_j!-DpcWXv|SA7j5PHdq!Lm}0U2lE4ppAoj=s!3N&{|Tf3l3Xd@tPcRm|!Cm?M5}ECS%Ku;cBcB zO_;z^n}xH}K)hQAhG-D%=U}(I@2*cf`}U)y=+sWHMH`b&hb7^^*|0#H5jr<1uWYcW ziHy!$#`zx$8D7eNOBpnZhW^KI_&4>x7te}-Zg$@DU52pLjLlj8y$}Rz%3I38k7SrZ z&_*V@c78D{MUK?mu86T%m}ju@&(BDq@y2gO*>U;LpzYD9n~D&4K>J|O)j2P3K6zi% z@MSixhQ+we%Q6TqIMj*?r`oX)An2=)76Q>WH@y~!ADMRR&k1UPf73GXvRQcy@+Eg} zaaq+w!CL(JIWahI+~I2^^yXjt?tGB+jnp0pDX;$ioFMbH&i#P@CftB!K_jEy*;b~V z>kounjAG;rPVE^Pfsl>~l!t`p>6cR+KS|(nBIoYNR@E33>S}PpwsDy3pD_dV{J8t6 zuO971HA8Ncgxi` z(+#%9&BmVpF-l6O9v;@5FMwU{@NMAn-}r6d-YtplB;1mr7%-Xub(THx-lv1~dwWXY z3Wwh~_7VRLV;|ffTT+Cb_dFNqMQShq9L3#hiW1=s9WGUw^>+}zQ5^Xg$U91}|ATG* z*1v>1aF{$8o?te20`6r7gF?&1zgg4MyTwfh%-+n}n@>iuvIBVhH(Po^Dga+^ba?2# zQ7ZS&R!-Q1z4&V(jhA@tQXGExn2i=N{vo8U9_hFg9>p^NkGN+^DW z(OWHy-dmF0tUGT%qTp!U)F^k>v2wQ=jwhFHiR0u7dH(&!fBbudM!o}u+&)-*bAYv1 zlX8mKleRpIvU#xb7%cCcvBN#1M6AOf8_%~RofgDfZ$i~EOy`8NBkVAdEvb0gFMDXm zL{TAF8YzaT{S%g4XTujtPiE46&x#leDFkaxPo!rYV_kW)i8H>Xk0bu5yFC^&FC9jV zoNyEpJtlz_kuGRYXm%D!8y;`;xC?Kjtlm-PY)a*GXzRt7Dc~Fezh)H$obv zuxc#v%_bJdV^2s?@h)%Gr@bO|WBn@lubtCk zDE4H1f@UxS?V0s_99l3-Qi%jC2qs2k;k#31%Ad~iC+H?deXuS2qA7Syf_}f$yfQdq zV&<<+juT#^nw|y0nRHCf)x?-87tLo~YDL1qL}1en?flqLJyc5G6`Z?w+AdI2L-j(;xQth>ZAs^66L&G|y?Os5-?Ggp z;d%zm@P~p~1Jc0aBWK{$tF};N6cP$jC}EcIM^hXxLSx4V<|}A(z6t~!C}Ky3N=$TN zHwf+N?dn+0zbjaC6&6HREP*;L?^9NN!#kms0PD?Kf2#Ant?=a6P~;R7a*f4|wISX( zw%K}X@8sclIlkf=VN9OIpj^X}tI*W5NVcvFObx?qf6fa8Iu7p}cI?KCH3-_lMtn!zlWX_6IsCJUIWz zaIq^z!Y)qFWmBK@t#&~*@`2AA56&$JHc^Lh5C=XQ8+ChYjFn;*Vqb99kC4w3dUY5x zI29RoRlSnJ@~N2XJW`13gsI6hfh;#gv8j*qeD{HxDIqeY2F=F$wwHiJEJgI%&xzTp zg-3S^S4itHL00^qh_TP&j7mENJ576>d=jyuu^$fAc>@uebqNSGZ0d4um}lOU1S9hf zTsLcknHz-+YM#1qszo{0B6+(O12lQyIZC#Z{qp|bv?AAIx8wrsG#`1@)a{lZ zhNnEJCSO!@R!y%rTi*}IW`C*z$uctpq`47>N}M?X@h`$&2w9aE*({g9H?5+B4+ z!jhrQeCK3*dYC=B=$qe8z!|c~(BI7wpXvsCcFkA+0Uu+4WeEv^Od?9pC1qxd>HJzK zJ#CN)P`oc+1%~*Uw@#@9?ONfr_ZS}=NxL1B)>PPmM(`JJ;MpY5rBcVqhcd7MVJziF zdq~g5q6f$fE~KJ1!$j$Mmau5X$!F?QR_0DDQbLCyj;_=6P%jZYNER{4cPC^hjPYJ)JQY)E5G4z81N9+R1?V76x-okLJ3C zHIg47)zzW1pi@8(rNf~spXnzxOt6ldbUph#GmdpKRUFUye}3?L@@Ae`kS34gnSZV; zEIvu_AVgFb1zYqbCdeDFhH#XR%uJqm45!|GqNk;gZzz{Bb1{>XF=~_AA2RYK8RzC$ zq=f0U7qjnX*R{EE6n3RnNp$O{J^Bmh*qu+q!DHN`iGRzBfKl-1u{{YKUAD!Eo33(8 zhwUJf8~M4EWyMVY&i$@aksb%?JD$dI>@FpI`-1@nTESNpH%(N=U1PEG5-Q4SEFJG zPQXix1{R9pjuPUvc7KoqFDE?B&+W{4S%1sdw0smY>C9`|^t9TbfUVcGcxQsjb5YtK z_A17o#Qf7x=j0f>54UL4HUqhsL{8TiyjX+?MWN$_5Rha~yacmQjpQ|9Hi~Ma@$+&C z75G*n6ljt^TA&bXE6i8JoE?THZ$cU^$(zWQ^u(~Gi!E5%p4@O{E(@o| zE~=t14xB{oEl#;3H&PUo(gj`wrHrOu=et_C(I`eQ=b~YcAL<}k11rf$pCwtb=^o4c zSW3{flPJ2~vf{C3O5L&13^W-~iU+W1QC2d4nKdz4y|Jp^|3}{2{78}=d15`onWZ)$ zT?9$M9t64IAXx=Ali}a)4V?uYggvhW=JPFdZWEYdUv%IcbYCQ~`!6hX6J$TL_uQX*L{=3!JHUTfE94Y};=N?mUiyaDd&fTrJA>iyc+zOg!pHzL- z6Y@PWDMdTRx!4p7?5!8E@J?Bz?n13Mv=$5Jie%KPFE6*cBs)m@1axe&kI9HW;uiu} zDjd}los^?`Xeg>J8SADX9P=Pi56FQ^i#9kR^05${?atZXV1mw6uS$J zcS{3&->?dcahv&l%GZ5^Q%{U`@aevQ<^F>9oMD#YOX>(t;H%c30j=Mohko&5E#U?Y;Mn{JC(W{}5egDcsVcN#GK zc|sc!E_(#-^;7y1yYI9bd9Qb;({anwfs452+^lSjmWY)9U*FTILAEsM20d`<BPnMx4 z&H%E5@7*=Dl`8~QpU$v;Y!~@bU0&YLZbXUqw6*)gIx)d zK>nyDzXD=SXru{xgkHFjG-Wo_3S|hmii_TtM zA9YoY=?zA4C1`a#sAUdZJ8cc-Zpz8DVEkLdL#&4B;AvNlg6h~XjuJ4XtZ{-` z=O)qxf5g@9Le28w2nf#`e2xKX*jqqY3rGlQ+V}SW+Gy*t1)pZoy)`|rE4#ivd4-|M z$__AcYTwTbjZ#(BRdt}rI!fL(eqJ{Pr}gcSV|m}tNpmQdrWPF38*Dq%g|@10a4C?; zB+T!faTzY$xebHW$-2e6S1o?LVh2uEtHe5`S;poTwh5WA^>XvPaUvbNC4Q1qyzfb+ zhim`2KI(Lmz>Kex*wuPhE*!F6E?Xcj!kd1%&D$0!T?8w{Y*=fP$w#EoJ#vw1jbBkr z3V3)xkVHnfj<9teI2sn)c{r1JXTl~8oM^nyRSNihrlxcb&w3c zJ&<=WQN`Y5QLWULGpyQG?YbK83C)7mECzG$`uvn9wZ++ewXKjZmMc3bY(IwHwCdU+ z`80{TVmxVV=;DHcI~LR{t7FN1buI9YVyddp)V);`hxa!8*QhT0bFNLoL1<@~6n2X% zGEM76?$QqE+YLNFzWNvs)9^8gh4GX`_qCfd8&I=(NpApcf{RP5GNh`e5)5fPUI2>U zZQ(J$98W(MFa>6`5O_ks5Rk$;aIbPasx~^U2QslH2zih6%^VYC1HpXS z1thMRBRRKF1bQatLc*345GC6BC=UA6{vbxA8Rr`5%X^%2i__>yz81CMx3-0*0S2N8k}wG**+)+h2?6I5Ap$@{@noZT8Y3Mu7msxDSc+#n zP{RcJW_T0QErcT06zR~5%p|0c)OUJg#YyBzevqCf8)zi4hF*n|2m>o?Zb%Zn7v}?s zbY6R*NN@0(Q#66K@*r0_Wm@SW}&1?5Q=|BrrUxx;S!l{VP@e46Umf`$CC8! zobmE;;NuV^Q(K%yZrDkPT|K@qi`4=M!5oCO(!aUdf5Dw!cqxFWXVGHsF1ixPd}=@B zjb7GpIN_Ahpl+(m0s+bUZ39w%cb|pJ%l>U;Ns2OQ#SDFXo+$8A(nn|UGJ_3*guE^K z2Y;U>GArLxl@HYDS#%k?;uTQrf#%icvpz$?kPuW)$Vk=&a{snNG1g}ai23=2#8uD2 zeCg&T86J)z<89fMZHF$giiLx>ZlOURol6|u@T$_RYGi25CH9P%rSLPJ<)I=YJKt3@ z?Az+LtXAD|l=2#-f$U7J-1s;PI0E1af9`yo zN?&h}PF@1hkm%rmOja6JK!-DOMYF=d%pgU8-0YwI2h;fU7X+lw)-^l&mTKn=gpK>} z`^RUZ=aodd2OP=%`sGQqd>`M=C9D|v5h4HAhsBS+^6;M>1~1Rs@>62lMM;vMEa64x zn6XRVSCG-!F$Zw7DGu&GlFw&1c>JW%AAJh&6^JpM!fJ*&zi)xKo^FGSe> z1OGLnZH9fOKP0<~BMdgkuyXnfeYugvz{7Q@Ne;k`7fE#JNIs5M_5ZI*%*15@v4&-% zcPi~e-cQ(V+x+M(ie|}(_VTr7He+)++bOc1R~TLS&#z5^*&;8la4FGJ-PRAy0lU>| zTXb)$|IvIiTXhRn3`3|yF3oEAO)Kkvo;S0@!DT#}OFisrhHNjaqwN| zjAw1NJyv73;}N~D&Ho;MKEn$Z0OqRwsAm|GW?9|v9|C{E8|I|)M?Z7 z2tG$fm|teM9ZZk=*`87~@Wm~VT4vmAOJr*YZo&CN(vb)dIqY4GbSMAMzbiMt-b*cE zzq*(V!V@RCkikPUGW*tLzDJs^A{S4%Ozz9s-`~q3Z)SN24i104^IpQRoDrM`85YpM zjiysJz1LtSIHP_xxck914qk&N$e>{~;c^1K8ePQVIyi<3)jo)PT__ETrw!`;`$8@b z9)pAA91ec*DI)7hg9gvXn5+_955!~tzKjPbCe!lJ?OV1Lq(#BW5WV+`IGr_TatfX% z5afhKuFt`OaC_AsaKNbf06wi8nd`A55yN7+9B+xpXZZm6`{c1T=D#BW1PZ92`J3-7 zLj5=WpD$-ZcRpJfH#rU?nO=74%T2_=xLS-+XYu|;CdZ|@vkF29)c=Z;BC;j0z1a9p z)tKp0FqDD-kXlrb6F`J6blTUsE)+?j)J@4mzPwZ=kjEDc4rY~#r4;<4OmcTT+uU#p zD-EI)3akPOChVteA zCn2RWDHXuY`t>efb9(4N!3>K>F zdUGi+hHR=o>|?jHG-B=?uZsWFo|X?XN|JO#>JS*hvylCo7~cEERxYCN5F3doEruX7UJ)?&1gcEd;(->aBpFb+GTTxro&MTw~BZI8Z&_J&I1+=4`xt1|+gCqA_^4#~qfMgr#jfh?dPtTAZiJB%XIV1BmI9Du ziR-hqd3|lz;&3i}K~2$bQIpKkysrw084J!zsjTXn11)i@s;IB(h-nLA`SVlwwOV2o zp09zQ^&wK(8O%ZQ!{2J^)4omtf7urGjoQClo#(UY7=*iHfLNpxwU1tTNLX2oW@pLc4}Evj4U-47&mmJ2XKp?zviWU zzuxs}9pDX+KVnfd<_`5x-d319d{(!rZ91pRNhRlRwX~xRz7jXDeiGSiB$ij|p!P#U zeYkr8t6OsR^^Md`^h8i*E?{e~^EI~$X`)u=*PDpSZN9%MoT?$4#hUh=x~giL&0Z#B z_?Ji^3FYUN0oH6G}Kg5KATOxGW;8* z9q0#%k4j`S0=ok*cn4KHdiKse`{k-bfsNqJy!bCFN|YEl!(z z`1Yfd(OK-nRngg2wc2*MhGx8XgaUbf#P$CcA>c1nK`a$?FI9u+(aokSkiVmHc>V2& z_PI47y74u~Lv7)2&>eYA#WF{t6_TO1FI-R&)$y`b{7cd=`F^#5*A((f!ncaw#)cHv zO$TV~Jv*@M+ZlGRLIO`9J#%Ceu@jB1P%arqS5;G}jdNK&;^;W!A6n6=G-IAc+wlXD zwqRbBEYizO*W`fOBXSLcw=C6~ZTUv+I!>3iL@F54d=QB&exrTtj0i{k3Jwwvj*KsP zlXGIU0(-XwesMb+M{AC>dtgoM_sy~7L{7Rdn@;ud^o>q)L5I{4{aGU@nxjLS9oy&9 z5Zpy0^IA^EhpV&wD)B0lzmQO%mI2{2jYkCG9XsT4$Dq_l2|kUrG;e@5g=<7f2t#x8 zh}520U_xE%3V=3!Y6aF61?~`1vL(@eBiEd8Ti4ihL_-5Yjh#f7#;^JD1)Y73f@AFr zo{^-(ZM)CD+aa48H;+X6b-pcr`3>B^APGFEl8YcURDs(*`)J=el6|q^xxRY#^BMsj z;)lj}U4}4=3}MJBjASFGCA=@n>YA}Q^G8UKdX1!vCcZU(EetQh*sW)gyMY^NO|s$b6wv) z`|f9dR9!#&?ljyLk=fb&f^@hjPA?)@!BKYMA-w4-hk?c!8_V`4U$0Fx87{?Ea8*p* zB+V|!bdI95K=xh$II%iSjmnLACmTnSy7g5j?1#@aEu3C(=ppEpXJ*f>CJzj)#(osYNh>ebu zi#VI5B-cOtU!T3ZM@qmg8M|kuA*N}FA~ZG3ybHYf`(c7<$Z%6ra*7+q`qCp3qcTo} z9RGX|J#0DqiL__32toJ4ek+000vpDfC4Y!)J}we}>3ylG>z@ zXb;6nW67{j<{=szW`GA`N85`mMtJukCsAY2KPGfp=*B5-Es+7@B0!)zEpeK{fByN2 zlV9U*X!F9q0KqX1&?=Pe?MIpijBVqCJF^kK$YA9BZot{o%14+0#Mx`wneUGZF6(2% zs2_^c8Yvx#i_Fx4l#fT{SqXMnDjun{#Jc*vmqc#XZf3!JRGN&`8^AoX*UCnh4&g~i zrZyGNM#z&y05L8X_P)NmVKh&GLU{4CFtEme`$3#Vj|=@I#C0W=CLL#5nzQBNVp*Ca zU5(r@@Ii#;cs3d=k&uwM6raQV)(gB^ls1uCMRHJmeBVUqTz)4g5E90gm*>B`2IV6XC^kT#*Loi$9^-BQx@T zP4xf_1jh45YePZkrMfCFolun>Dq^>8rBzPP^GJqZw*Ba&Wk_?UhCzxmS{U9OE5k-G zv{tAzo%$PwNO9uxsu&lYtWjyU?*>8SX$o2!W0DrPBzyFALl(e+4y=u-C-xaWK-S2Z zinG8SIKIF<_9vX79d-EAIut8h@V-~NJc$uVN7svFD~!wAehA|IMJvLW!Zws=Hg`1! zJRS-pZxJH=Oq0SCfSXJejLAluvmd4u_mEuPpHws2p8Xn10$figJZBboZ#F;KLK`hD z!Z~d`A@Sx@8na22Uf5m~!mWne6HW@7^?z{rDvTPO(^4yUnzpeKT}n9Q(R@8ak`!Il<5`9Xom4Ce?ivqycp!NUbkRA;QNCzdf zzY$*ZE$|G~kKK+%P1?1yssQbG--s}y%qt@>gLJC4 z$SAy1OE+X(oVldUg;(UVJ2+=}xXoI^I_d_2$ydOe^Fl@fiiKEvpxr~OKL)CT&mcfT z^D>P^@D(w>0rp)1FD-p#6OpX@JC=jyB^XAS?8Pl;ZA#0mf*Yd+HMkK@2hk zOV!!m(lJog)@117b4kEE?N@LSnRYF!9d(BU)RLVS1SZKB#IEO%T>=tqIjS(xfJTz| z2k(fQyuGQ$j&9bP(V1lYzO}F|=p=F02f34hHls}QLV;qE?6vEIZ(36=bAV)XAqTUw zC&OudwAluB`AxxL4p!@9Jsp4byCxUT;Kh%(tU8F(Ez-*` zXbmiC^lPvBzvSsy^Yvy1{7JC+m@yp@YlQ;~obyr=E;o{B{)L=_p~b#wadxJ~XU3oG zynUXNxxe2RIf69ddWzQ-E?#XbXWL=$5aE84Bhza&ikNeF z1_*1Dz;vLYP}TCHrUyUyK^~?cAo4_Fi&Q zahSP>Bje*psT-h%TE!R;*~^f`X~YYuP%UPWDK%nN!a2cDPs@cPZd4~wLWdqQmMIs@ z%WY$LaauR4Ws(FniY6_?SV>mb43|M3PY zT}4(o2_WDU(>$*`peHKYm&JlK#Q<&qVG!UN#ZN;Tsz;luQ7Ev7j>9ESWAFL*q1tx z4Cn7*mH8K>?PbWCBHu5RZYVO8;tnaug2;SV+?p1o$SR%1WUNsu|Ht;={#zE`2uZa`TCJhm&3hh zf4YR)QWC5G=Jn+aK?9@eB5gf#bRNLtXsD8D5xYg;61(HJ7$)Ly*0%*nwu7N9r#18N z#(krGF|IK-X84$2c3RH2`q!7!2^$3#nm47GnB!UzpE4>Ho-IY(J^Q%sV=-hXScICp zN2`Q4lnCA7yw5BK9uGIx)Z}YVUqUi97Uv21WB@rSkfY-<5rM;B%iZL1O-$19_i}S# zeb3ocd)z@339P|DGl2&)DH2YLU;)_kG#R_`;+m&RgN_tR7Ac^h9cQXkz`T?Sp)4I;sxU! ziz1B1X>l2Ed=$Cn)V+BB;*8@ogw@VPhDsRY+ug(d_g(RDMn_dcmMDM%fOZeJ)*A({ z0$4j5t{yM`OE-%Welf^GIx)1{^0tI?oyIi)z2DOlSK#O4g>Q@ZtBV9_Jw1(XdWKNG z0Qfts%?(*8x$|Iib9B6iZbZ`?kUq5G+>q>Y>;`>R`ctVXp#zW4>}00%l>mPWE=GM_ zp-YM<`o+%FeI2AK1hEec@dMv2n&LovR4u|#^R1NjACi6%A`3 zC~p6PRGauBn6+wMG#e?No-K}E!(Exwxr1>O62NZL_l(Y~8+3+!l}zUWoEb;6y@H2o zAvb+ek2kmGaXQE$Qclx84Q3iWsI652v?M43H?aN3{;)<^&&7 zUwHqzA@c0PcS*sS?HG@x)Z@&V8ag4mRCP79Zhn!vF_m8`JVOsl03K7oY&q8}4;NZA z9G`|bRLs} z&^OOBBz<00hcqe0^{|sa3GO(}0swmUDoWqDmExS`OZZD1xgK#63W?wWGJ~qI+lg zM*RNitc$Zai=c`O7U5_W(gDHM9aLKvl`KX$@QsU?L zFToR<8Zkj82|r6o$P63NFafw3Hhxv`=DiUKebN?>+0anWV_WR>{hG*ZBSzzMe4whQ zQ(@Hi%1WTS!1YJTjf!OI_Ql}<{l~E5AQdtnGCvthsNnqU-N+*My=l7wVZ@8T7Ffaj zo*v%xi&DO*L}TFlB#wR}<<3JVEislncNIvGSZaM~8W%EpdJuSFJQi@_J+oM9sTklP zvaXO5TPz~HbNXI1`;Y$VE3Ygoey(s>ujatHAvru5{978jqBOxg9Lk@sW<7!lizv4# z9wBauR2Ol}(_g!5#Q4EG5V$$}s-W?zD&$ot_AQMT$J2PTg+ewf=Zna~M@ryptgJ18 zwF4}>DeD!UZM!<}0efsWbC-`F*95B~D-@$bCNrI{2=8BOcsT$m!qvAPym7l#Q8k=l zO&xHB(c}Q!hKHr~8FRnRx7AKD`U596ZJMsJ+PNd;6mKcro?R2K6&WSVLNMIQ;u8LW z${L3uPYVrO*W?Vkf>^pGH=RzG6#zT-cp+13zBxY}jt;Rc*{%Mj+W>R5TjcOTr(xUo z+{y543k>XaiKJi4?IQuI5Jp&ZB@CwAE%(yK)~dh6Q}JI z_7m>H5jiwlqn5&5=J0Cd8#1ioRo85fI-WwaQ1I|`R!3TMzyjc2%JWx`^U2q3@D*?l z@Bs(ZI3o&LUm$(`eyPN5Rd-p3B*O=M%>iD~jBK^rf>v=uM);buNi;e${DSn~AxFIQ zQS*_-ruRlO$*04eg%@+j$oWs3)mH64SbNpJFwG@F;=$18~eTK5c5gKPxu zhRSX7BkxH4`_$X_<#^BMGq}^{HGGpvGA){tv^#fIH2eIhAIQ}vFLvV{D5~(?9j^H<&Wqe@&C{j+`APW0}sV%J~-nX&(f9+HrYRT`0XQy49Af|M@M(H zUNiiuOcs{DKhvyeYL6U-%m&%6xV$Xcclq3$^CJ&N4_m^+xrYq!cs^jTsUW_W z1(NmQ&s&9Ef2&;c3vup0)AOV*NojOhC#&;CUNVHN?&At5yo_F4HE_$eUFcuBuhFcQ zaBGtB07m|e<@-x41kz3$>}u?0yap>_NS!1Fpkq+`ng!r6m^d|e&)MzCtU-#9L8yz2 zH%_N)F)un`fL#|<_ld|nm3Prh4}jS1i0?uopXNCch%Z0N@vOa}cH}F;)WphayCv<} zzQG7N7F63;9rNu=k48F!!&k8;U5AdrVZqT}TNd4lx`VL*&Jqb`u?F-wSjT=aqeCgL zchnH~P*#UVk~0DRp1r_ddTI#-oo1n_d%o^ zA*4vvJ69%$owv>ixfTg8c$)w0cY3E9b_FrP3E~Xwva#yY`P;a7@nEN#h)V8?`WB%c zo1>#j61GQ%*4l263PU5Rt%}|`!k@dLxYMYHV_&VpMsv{>di-D`?kq1;I5uu8Xa+o* z+ZS?=#i^vMNU5pX;@WwcdOYp{>5;z?8E)^zDWus@A!wajNFbWx#E^0kX%ISJhS37wQM|k* zAyTS+8K{=No0m(drmMgnlg3g65vRrZ_e3*g_bad{OfMcMsoOqAMDvUT8 zj>q$b@ug$v*#~>Ou+Mb^e?m%o9HcbR$C!u^uT$fYH1Rd=N2Fr8TCDbH&(sw_cL-394ny(8yPo|?wV7eip~ zO7By5^X!N9vV#UKE1Xd+GD%lNt1*n-C<8^LYIK71L}57lTQW)+_yMXk$?CEx)=+q8p99QvdxI-34wG$< zhXG!|d7#lFTK4WM+Wg_{&|W)u`P_48`OO;1P}*ykK4m<)IWcn{Ao&XYo7abjCiQyD zQ1d{$(8SCsC4*tzk!rWPx!qZuX!W2~HmwxY^_QwrYY<(Js`o%t=OvOepoA{HBGLmQ zuWwhoadW4Y=#ot51*Cecne1|5k?}iQUk?}2^%RX-!0lvpd#mniR{@C#4NMmnQXlDc z5AY;$S4UFZP8uo1xWKrC<{(C-p)t)}D46%F+iP`ibGZl}zq*=q4MSL0yG02-^tda} zkRnk>30=_D1$BQB+rSa+XPaz~>!E``yQ9&K%-rvBIIM1VYBclSlo-WyjdaXV|JLKt zonJ)bR#GX}Nd%C-fhwbGEc3OxJru;_us^L-uN*1E6bV#Cvb#8K0{aqv#kti)3G$In z#-}gM^+S4fidw+DGKVK?Uo14U%wm?EVKx*$!_9|yB#VYlmy)^p7B^0n>W{e%#m{hy zoTjRq3U?u^o5miRXu1SULEQ@4lr+qW)P&>F-X*@hZppA;aW711O2fv9HLMey&h7MWsp~dia8L84_g2 zn}c1WZ;y>Br8gBaFYH;+9rJrdk13?L#jV;cDv?)@u9p^3a@xqgtfpNtZq%@$9<7EA z#l(E-Fvy3i%jyl(AOnmvRqvl>HSC`$ZC{$ra@__x>r1u*b2GP1vFO&AhDS{?nO;k5 zABu9sMpMbcf|#H`I3KlB0axVFezd^OjLMk8G-jo)6_X!cw9>ew-n^W{09US((Qx%> zH2Kk~NF5XC(OqoM@zfQ!Dxv~8C?8!#79*;3q~vl zz5{851O3t7-eJLL)k>Lrc%)>BbPcz@**^a`;X@SB$wk9AXF@pQ#;#rJhR%scyW+kb zAw_iU%c@li1)zyXN}cXmz3+4(O|vBv;vfg;qwW4aqQ2DZe;`X*a&8XEHU%V4Y%%r| zT}|xSYGDnO{Hqxg^?**|8tqM#z0V8;uQ{2reuBaL@8)Ewl!F z3f!Q8QPliw#xTdXN=h?W8r+Qi*|YD~q~X8~a>Yb|tn&c#Oq#6K9N=dZuXoSh6~+LA z1`jWp(S$5FRb7+GSD7zK3HCYXwPe#JL*YvZoP!%1OJc!cA2&{EW;#|@EBqX~~#ctm3!foDpO zc=&;Q98c!JGarwbM4|AG$4ro~9v>%TCXxAcJdg5eI++1IUz26yNgvb6IAKix#XpgR zc%`bvL!pJE;~vlBWv&hmg917a7R!hFYV4|G>~Vy6$_KPb*ZX|MpS<1yvUp1Gz}W$? z(o5Khs0FbVjMLJ!lgKJ-iSNtH8WUH?Ni1Af< zu=d#D zXNza={O!;8t;QRk<38_I=eL>AmH}7>U@2~A?4HHmR^lLn zAMBaI{uJ})Eu3VwQ8hfP$O>!Oqr?0A)b!jAZSw=}5U7gqAEq7;2`IU?*9BD z7`h*mMq1FQHKdZ(`^K(;6oz!tX1gd?5M>wH7hqbVBOTRW9=Vcme&G$3Bm!%O^f2QJ zri0QKlhy~s#KFrl90JzJFv}f?sm`7^oV@5;(&!gOS=4GTZuGGiMD@2ZW&yWu=Q-PT7U$7y1(Q$dbrct0E_1pmx&l z@uDCJO-3F-B&=pweNiCkVeH}rM2pR9~Y z9ace^sF)heD|=DhaGpI(Q9ykg*e7^PCw-KfwPO$5VH_E3c~rru=so+9OhnzKoBR=9 zh(AwWjEdgF(FaP+Vo?B?wrLoH4S6z27T!*pI~|XEsP3x=ez?m#Cpplx3_|x@;WREg z;rTB8M$Wfk97Tw{3O#bwA8pamv{}HrBME zO)J4-CWnV1MQC#3YA;WVG;s$fGO5*K)e}cC%;juKoZ5x`d+H6zRu}w#o75ZiSG<<* z>8}unHgPcRa4=xY4^^j8%+It_>S#*sGlDyv`&PSC4l(pkh%hhrE#dE)h);Z?{}M-gU>b#~`(;wnu8S)&SK&3gA)V~1a3zzW{ubQv zwnp3dw%9Gy;wEQt!Ca8&F3i|x0LdgJS>{PQfO)7(?cmZwov*g1&COz6EJF@!r@c|f zQ&zZwn^T#1#+t%Pm8XRmO)C}`1zLZ5I6tm9JZ4%lNjPH+m5gRzAzgKc#MREe8dAi# zCn;j=01Y~C0cm;*u;H!ZyGRi&1)@A8xW=gfl5x3o~5>O5+briMne1J zz?%bjbm;(li;gudmH;g3AiInzFq)AEx0^OEIQ=wzAkiJYuV|q`f*FzgvS<;l#b_LS z?aQDtTeYu_v~3f(jCrna=<&%=xkecbR zb3Zps!qR1c+R=Rb0fNigYTM!4(MsSGq=qN&j#@Lo{)wOF}pYQR#DV1q4S)t|;3Pqqa>23!f)A*my_ zvQ`m%S`BX5k;l$Ht=htUN3Uof7*!;s=tFK$60(!e1{<&8=5OF@&wJ3$zAiOvki2tW zZARP9PZRk5w5u&z?(00u2k4g7atYH?FMFWE&i;$vrIU(I2c0}bA6mW3pHzpKdJjHu zPP2z|@*4R)kV_lT)Wv=lBA3TDzb;^q30lR9jP-n(^9u?`#{z53M5G{PP5_|{Flhx4 zlA{Z3V1V2s!d$dnTFnT1e}I5CxO~$GOkF&0513}V0;38+lW%+RSwa;5Vpj!3e zz@-i6WOg1bcgTStzi-#n+@fwb0eEBmah!wZW`K=jXKyacGaR!P%-lD?<4uNT8O5F za)Uty$T(|A)9IFg0-%*Lw|MIau%J)Tgv>G!88n(FTvvE_AGeNJ3!k; zLl2miY8;Zxw39LHs{xYTD^IeJz?V6znx%Fqj{Nxrced&VMa4(Y}BoY9b5HjPH+v8yZ6C$_mAf^m|F z4IF{&tBN%#N~E^3-@PZT#h?n)vvKC*wb{Y-RPe*ST&X#yN zm0n*Vkl-jQCYz!KaL?&zZZD~Ka54jEJ)#1;cATq@IC?S5hf-Zu9R86@uSuck0ZnvE zqd_c4ZYLyyKi|y298>xln)@Ex%`_~DhLIzlx2KnGCgNvTt>6{TGp!}qt4`wZ9b#Er zBYlC*NaF->J~{N%N8+cdT;3kHX5jQz<5v@2eP-v|VV!nXJj_9c)JP=eTPzV40`nns zS+8Rc5N#S0#NM`(ow0;71WkCpBYU~ZVL$fU%wR3cTBa`ElceK}u&Qt1oUy99wZ2>L zS27KmS$P_d7XD=2dUL||bko%gNXJ);T6W;>kz_SlhC9ZLA=ZeZL)J>^Qn$>Ks{f2(s*Pzw>tLvpIw&^gY}G+%W<@({`}Lkp_h0{)Qk{-l5msPv70j0^BJ4+;pllijD(a6o7NwE@KJ zBhe?xN^M*@3)+nM?W#SJPb!ji3&ef)DBxbG@qYk8EJ@G{otJPx*Mgn7gQIv)?!B1Y zi_XxKSguNg5B_}eZ~#>!1|&4sWd0~OUmp*xzPK1b@4QjrwPH_KAcwZi4Z^R2F-YDR z;11)1*vD<&Y!H;2uT^OP=$_ZaU_NEDRJaQmnrNe$jUl|IC9TdZKHmr1u?`Py94~F~ zX>a8*N=JYlY6O{`|A-9~{oz1seLBNUAbdj;T!7XJnVKy8;yyCZ!9X(T!#*F-;p=X_ zI65V}Z`2iRN1&+pnS{+R&`R(mhSXxJgo@|dlmh_!jCVG*1~GbN0WYU+zd*da1if*S z+M5b3fqO_8N<9MYc{Q{|a1p3O;(R-uBZ% z3#~4zYQ~b7D)R5IXjnNK!)XC%jXmRb4NaD%r~BKN0DqQZ!TtQ1@K7ElrI#uf{2jOR zv~GJAcU41s=7>7@VkvyiV9C@v&8FhCYr37J65QhU+W8{(KzSrH&a4JbjagK6W979# zO$;p){RX3DZ%E5I+F$an zL8vbHCHL`*N6SMGX}>;3Uz!gcUThrL3)boVtT_l=l3D;m9R9sIa%(Z%9TY0sPqNXP zb7g^(1K2-gKyA*@aJVp~7-E-liRKU{=OAJ1_6EP}k?(JdV35&32ky$Lf{%K##xgy`2r*Fpnj$&Iw^o(O z8?2mmQzPB0Sya5-3X)xVw89{Zgi+ixvT(Kh;A}Q~u>f{7Tu5jmoRWDQa>`@FDVhcL zLXXYGKf)keZjn4RQXer|L!x87)MH#{WER6@7FbK2R@e!{`2IDT`nVOJTkNvge{6hY zI8i1$%1C|;QiH75Wn@KN;9>z{;0!*erO3O1!I}tsG5Nv4FEhNUU{FKNRO>>mguh82w0e{r=|H zfYRi!2{>ieuBz9FmAl~^=W9B})(+WOaGN6?oAjoB!lERN$5qF#&AI9x?Okoj!gP!M zWu-It_QQuS_%%e90`U1V38ss(I2&0*p{WUaDtpUoZ)sgKeoo!avF`#qx zbwrr}2ZVEgE57qP`ps~8Svo_!ne}X_pBMr1q3;zL9Vj=bGS{4O6wiJY5RmB5<6O2h zk2C)q3E!P9*EJb6Bvj>bY8H^vxGOkiR?FCEUqRGz{FXsWl|hUV#3_EFCuk<$`5rJ8|Hy6F+#qtvCB_=U6EYRc>s^VZWnudREm=oK(>GjL*wCt@!yYM@81=D)d;eEZIV)MTFbpeP(VRkU8eYh? zuKmf)sNOgXiIRw82CX1W59g%tT*)<|4i#LTX@y&}Gwz$O0c`{3k@l^jbMge+w{J^B zGOo4T;R#YEpUkt2nIKn1aQ_HTzp%IoHm?Bhb1q%O&KvX-qh+6)uvW$;U{#ozND3rx zV3eF)&CL9s8R_NEnYYPkX99K_4~%3fBPz=?Kx=Y7T`4#w zSPd)7HZSdQilkM^z%1;Ur9A{G-b?QpDSe2?I`I{=h=%q=t~u@oUFm$k%=S(PJ~1yx z@S!I54!X{wTax~qgOyp3XAc~Mcb%{<@b9>%zf1x z+i;WV&ngLxL=rOX3@kn`&Q~4aU5UGbcswe&ZUhtmLvbk?F8Sc6pan2wIzkgjcWv&W z8%%L_<$!Ei)fFRb;cH`B(0R-2sLn~(t%xC08GfA59^r{p`?xb~w>o{7 z@S+Mnz&fQ-Smx*vR;bJGXW@ieH;SVk1(RFf&-CZ-j@g6fiZd{jk$57duDQ&8anoG zX`S%`K-eKXf6B6O=Xw@Kb8qql!kv)}yan71slCJ4)3m^6gZ{ZX^@lIhJ3HHoQb-}~E7iC2D`FI_r_O5BhY_Bu`7?G_$;IK#_g zcPOqf-KHST_)6`nKKv|t&UVpP)W&X@t#U(^JWot<(3yP#&Di^GQFrX_lieq(0>CaF zP+T<~Beu2hqBvWgsu>z;F78SNLz5URKmW=rB*BQ>T@{GOt!mPb3*4bSXnIJnQWZ5T zuXTRN$qbgixWu8ZR!9s-sw#kC1sk+s{OXd7+>IcfHaC2Ev_lpT7qAsu}Hy_mr^hVUVrumiZJewSuNzc@^k}C<{l>#;8u6YmBV>|;Ll~R(a~tja`$_tyd&ZfQy(fkcmik!fY5@x{^FVB-E8sB zPI-Im!cH0mz=d`0Sp>$6NBO{y9B|ayi+I3~R3(DK1CKk`tlDqIU~Oc3F^ zXxiy=$i`fGy(eR?;t$`*^Ux*yG;#NY{*!{N3OB#4k#zzuN0u~TKbk?d@HF;&RXDR> zJeqsek%gaIK+xw#nj>J#uDwORw-M{~l(iSZFleO3sDkwQvs`i2=J3%vU3_END7$hp zG8rrdItvb)e93_XBq(Xeyl|b&dC~cXnJnxH?*LptqrU|1`bZ9rlMi@-bCZg17K)a&zl^9>*9){ pX@62LMXaDr~_5Jn9 z6BOyOr?H)quLDWYDmOp4ML*x92z3eHJGnZfB6;bhR)TYo_Q4MwuKxOBMNgzF{Z{R%igeo#rv7w6ORf)49*u&>%NtDQSgrP}B zG*ZvHRW5s(e8(i1{{&9JOp+Lq*pNu8Hfm2+qUpF7M*tNI zY=UGMVRUbgeufAYCkUJ(d$ef5LWpY3(=jx}y^oaPc|iG0wE zzUK3n6a*+G%>k}HY{fL}jO+04GgWNiSc+e@O zxVHC9WsPvQy6Wonv+qgjl;YCOgds=MGjui^(ELv{Tj!U^I($h3!NnNWItVq>sAsxS zPzn5tQ9-Oz?q%X+8%ru3GTfZ?vya=Hizefd zp6iIL+D&pti?>nR$QPPAjKcn|xtEg<}B=aL3;&ILmj9E>+88IRe1pY5pJ zvyV|OV5^#MjRPMJ=R7R{Aw+(e-PNrJjASB?U&&+N3$4np5Tmk&}pHF#3=Lvu7Xc6cU&0r9GWtSZ%(UTuue`_CI;$ zm3_qpNvP%UXp%o9C4*(8lL@*wvYp-nLg(1q>Bu_au%gj5&UKL^Fb@e~OMVA~cQ(xk zj=~M1Po3gRJ7CK0B{=|;V|J2qw>4+-UE7_>}fGEVCo4_G4H~)eoS~G+rVw5iHTy1+OnnRs84T9tN{+IYM zJi2kUO)M@6VqNDnqNH4Y32yfYhFcU8I*jO!dY_Yo&}IeM(yH7JAvdAL3HDS#Y6Y@M zAh-RRuXCt9`xPnqH=+_sFcnQGNs!+2*Xy~=FES)?^j$WK$tYvgpbDT$drqiD>hj)M z)@r>5t~+VYI}%3uz$&#^B|zxM=59BNQ+&Yfp*}LWFdmkP7a2*e>VPuh$dNT9aT~hk zUC;*Ogso&1>_}N=Y|e%ZXj++M8C{d{l9Ta*oUFGb#+TCx91_-f7E_pWLF8t*XuEOP z{|X4O6`XO`ytEdofbDo&agLKEJn$@Dsl^L9-h!9|H&=CW*|OTL;4A_+9r)04uGV6; z0_Lk+v{_@|e9?jV<>0ELw){}68s-=RP6Mzi8YD^405A+nHC_KE(ngY7a$K=}C7#|>ejv6|Nr~RS!0pQ$olaN;8?v|EHx3W2stleWh7K76)CmQ|C@MUsvzHK#@h ze`CTXy`EWcF-Oci!bseL_o(9Kk9=Vg&TEhNWLp`1&1zbV(Z(UA&9fWeOaYO4EQRb* zN1Rn;v49v06GSc+D9*^q*VyBhfFA8gFwj|Jd7$H9_9p|13VWF_um^m>ui5>A^lv2J z6zG5>?>bj8b}?jJ&2hmTgbdFeB!{Ff%<6*%NudP~0I@y^B;bQHBwi*v<^qaldV%1m z=pu4);pLO%wWo2~l6F|;qCpSI{AzyXTdNYrwQ%BuJ<$cQPU4FQEAIk8*ngosL7~Mu8!Z&g6wsnC3kF}=;MsWvkh9jjB0wJ0z>LNv z-7ORnTAV{VSCTA#W+HOvPa2jG89a{7i`ZSN6?{l1)QQd8Vuq;96=QReipQ7AE-C&k z9^l3lbnx1#v>_cB><56D8M6xbu?4N7Gm2A>Slmv@V}~Pq>37nt<$3y5Cw(3(1XScB zIuiE3DU;=W4g;-o6+kT{{vrXT42 z4WF>%3Xd(j9Nv~=Hm791L>vlExfy#e&R&L@O&j;WN2h#9O9b%34$iqHzm<(S*~Fv< zTN8>8qEyR4jTe9%pZTyMFKbfk>Qg!ze!H)cwY0*Q;CDhko`Uq0o$tbYxyJ44l-ZOv zcFZ+j>RH3(`@#v(dWH6uo3a{_CJg7zFrvM5_Jl{st=Xw1DO>rJiB0GAt27PVU~UE* z+2P8=hSeNEF7SjQ-aVg?kou;dmJ4t~g9-?-w*kI(NdQ9D*-3;v!bT8WFq9o$*#oY}J0 z>W&QADUmwAf==}%1alB0YqUnB=`=Py$#nNJ!P8NT zyuIybO)s%ivH?xp3u58$f0EHRgx2)GIVTW~<~RM#b-wR%7v4Q9c6gtWFn}yQFS!}ErSa$aUNvRLw8M<+$CIYa;LhcMyGI+A~irCxM486EZSQ# z{MZ)r@H&+|B+a{On`I3=TJM55B>|qsx_txlR3Dha&pTx((HK^1{0mYQ9;D&JKE@s9 z8$R>A@S#TJX(SHU^G^7|%Nb#gFk9uFj#{&n=W53KA)7XI9>o4bfX4uutN_BvDWmZK z5lO~xi*?D0q(=rRwUT;&==LoqQ@(G={%3|8;9KS2@FE!wUXJ$gIuvCE1m<$d%Rw%D z#brT@*iv<{N7W^1V-AfM0SPOizo}~NYrm;z=QOIvyK=rLI5K=}6s66| zA6NxsMv3d9v#vWjEbNx7>wHbEugYSD+laGm3B~iOhFg?_J9meDI`$k%s(o~Z_Pw}o z2v#_#D?m*mt^?jDxKVNe4-SAUxylBp{2q|ysL8%!j|NT={HYW_s%z(sWw*!~k4f8Q zh=zqXZE4>c4-DWOMLlAd?VS$vM%dZ9JC3;^gQ4>k`qF{2i#WXgP>ct5iS~<f8E%ZT;pQ6G z&ThBot6{ZobpW2#>%1&(A@w)Tw(by(^+iVz!Dzu907ueWv+=;yXV0di0|b9~@#0qE zRUQO96Md=1_`scMA)Z=w)#37O+#7pim^!Q%9$eT)Zga>vFM&OjE7tn?4yM2Awc3_I zjRp#x-jXf=mbcaV`LbfTG`5-$L4huDA*le}y6NAn4pm#?#bP?i{oXPN;sdW3+Vi#A z9VGMom~gzg4MflIx)ecOZpdohk_7G!?$v@;$y(LZ?PGj6hH6u2#s%*27xGgrj?Su9 zNC^6Z9c_FehGxv68?y{XM4yo{^au3hzD?uKi2XCXxp^5h*bRL0kGx_oX$3w4C^3(0 zv6{-O(e4&q#(H=2punzpeF-PrHWR0t0cw9TM$94@o}zr8LKl z5s)iM2Tv4{p87QL*h(KLQcWSPT6Dn1GXoW5WW7k~OiCMvq)-;4J%8MZIGqatNi<&e z^FGAP%;B}F*R&;#&zF~kF<-b1G@eDnaZj$Qv5SZ4fXkbXloS%*A`!RAwi1^M-E%(; z=Z3};8YCWB^^TUYONv9C=Y1_f=%X{CMG^HB(iLDQ9xLfSJh%eiN1jQGBJL?tjaV)@ zoQ!W_>_^D`X;CDWzuUMM0nZ;TL@BT3N@~qWV9j3ye?mVFbZOb>{&@cAqo#LR^F#Qb zi93~)4lIvPVXs$tp!r7;o}QROq(a~g6d4Nz4lyBXOBQVcq9ov(1t$7eue|aKN(|6z zuHZS=`2z6Uc)=n;k7#b_&U7$P1*DWM3J39^>bkgw(-fV2T$6MC?7O$GcloWW9x*om zf=-dVtN=;J=o-*Hk%j4+4zypswWU9P`3-)nBUNpWxU_Yx=$ypObwes>`|RiS zcF8aC)U$=!Jo`SGfo@9H#k#0iQos&v^IK|ORUUVTLMpT3ogm*h-3+zXX|PQNZEKEW`XYp-o-rl zf+Q)eJF;Qd1;_grG|KTDsb0g2IQ;@=#bj_+#OaV?nq&FJDZiG7$rm_ZD56kcVY#uN z(rO4U{6GjVIWH5PrpW7rjgAMH3on*$fxzNy^CR^moX7MD*~9XUc$XXFjdme2R(p|r ziI;DZPfOxm(W#dN$ibeP?^+hfSxEm&f!z89H%>4FKmB)gA7b591blyyX7Iyswne#8 zZp^m~Vfv8a-2m3k7JUMX-p}+UI2rW)C4hesIS-O#e7}Hu2lm@NxvYq$j81N1EK=*! zIX5*S>A?U%qZ^eIp8b^%^)RIl#>jRmcQzT{StMufd9o>&;pzphEOH$)+^mFrvyz=& zevk?Hzs?)XznlFpf2pP^nzreIqMTE;%(Ki&3&Pti9f4iUoCg)M zA}E9mz&;>}G=Jz0!ICu67-(z|3C4avJ;LRSAlPbctZ=KapIgN?K}b)h!u~!x+wC~a=B~tVWwtA$hEW?9-2BXf z3tuP(&H%5Gu8mZC5}ryXhjpnXXgmOM;IREHJX2>f*>f*F@8|oUM43b%Ww=Hg+5)UR zfR#VO>Sx>L+yDeG(U^2RD6~}Zun%2|aiAE{jOM|Q1l&a~-G+t)h;&|-#o++mu;iIQ zso=%)k&SCkaYm~HyhO~hi!yjq>(EO}{*l7oC_3N~q*igI68I3GsnkCsf3tH^z}^EG z1ppf8-Y0>l+rig(Lpx&Qq$${Dv>H8I8jlA5^l0#2@@R-fEK6hHQl`O$yu|bLtnk&} z(5_S?@0%87!Ar>FGqMrQIVX&gRM#8Me)m6p_wPRZ^zOqC?mm2zZ`(`#?R$^!-h1!vy2PriQl z34fw4qkX%f)oe!*>|ps{V#v)+&%u< z-Q$n%zW3JMBro} zkM5rSf*bk^_g7E(4)0eV(0mqoTfqHpfh119{^T3n)OYV5Ke>DS4q9kFM;qV0`|!!# zhwq?ui~iI1esuTVle_ocL9?vFPu{(I^5pKxJ7|ve@zZzjo<6yI`VN{QNtrW!2OWBS zYXW!s>rcMZw#D|BZ%}LAzWd%E-aUTIWA~WH?(MtBpStvAjWUW__BJN>qn~5wFoqaF z`cR5&s0iBm_T77*qNy0l$NDD*^zFO%|ERB!m_2#>?k9i9bN?28Vo-@w-GPxz`Uih_ z_w+FjC;k3)m*ho32M`?T>S|M%L40!ey>H$<{)8LMLs@_J7JrMOd~)~EH}5|Dgxkpj zYJG_|ev{k#3q7vZmo%t9`R3h|Pq$x)?&&AoHXdVaBg_?0)ppd!H7yNf zRipO3#{>F=2lr2TZTR8*+Osg7WxG*fj42kc5BuA^2dM$p%Quz zQOn=pmVf*1{XgJ!K_C7FzNNio)ldC+k4O1Wv3k*!C*!Z5zQ?2dr&zt{%oF!l{|7CU zzx%p_8_0bDmpPi;Rn05p>vxa;TK9$;{>wL7@Th8s{_U>ypLZXA-7JhJ&V&BfyN}-B zJ@;w<2_&7+t>|A~I*+Z+eZpvj zD?V`-By7ud4iu3Drj4qvRnt*VesuS}Hy|7IM3AWX8GS-UXo6MU@?`vo+x(7R?=%_A z;80Z!&%}?onLjj3o&J0i^C5F!)%D~@+}Iy*t3`hN3^L9t^7Kb{AH2arc}AN9+66hCcbl2eII_x9eCe8eD>p`Y4)4EhN!_-TStv!7Q3Qv+)ue>?_;&l zO7E-C?fNM<>V204*{ja4J`|z$Gn^F5x*%nZ7E_rMiCH5eem}VT-Zx~4J72Xwf7*Xe zE9h91((139W&e~V3pZbxZ{Pd+-FxrzN_fg+{l4yqsaUTHk^zlv~>KtKXf)nT1@$jW2M&{?$djBkN?bU)nS{yi2`O*zHK(2 z+HQDHfLQk5lW*Z~{_WGdCx51kVCy~o7MZ^5uI$(wk!FzA1Ip^(4jWajJ0s_4y5H>A zEB*arY7vj-TaYWVoJsnD)>;Qo^g5`mb@0TjgVSnIdAC?7Ss8CyYxYz6=*K*|Z^^?5h41wahLztI*y*)-{r2A9{;g9 zm$=h7NTk<)JU)m__or1BRy*#V{IPX3J$YW=M+L!@(=^^a{bL+n==x(wBGMf5MO7*& zw|LsZ2L6Pl4!VaoD(=G9tfQ4SKm!nVTQ_;E+pbyQeEOMGZa%`P^fRf~{nbyfz@OrW zy>&lAe9?6Q{dQTjBHF*r=jY==x-U0H%L4rYeyi0(YTdVahuUX9i+KCvCl8s@Nc3;> zh>u5~WI0vaQni4F&<%L47KXBw^#%GHmd}z`!zRsjp1gFkDQ*59^H?4>q1HCztMwCqWV+OQeZ~3UEQ&# z>UHticYgT>?{lq(e#}kz7KZk^Xg2&MX8a=_ypQ>0{1zsiz7;W}713{VtBicH7;8=R zV{Y5G`fs2+i4yuTx9wZdoklBx7r`eEBkkog1}Nxi9K*a4zQ()i4Os?vkH3!=t9^01 zF$?qu+~N;;f$qDeU!gzbLHwza%@$86&p*)O1daXv=v(N{KVVVugd6;QR~jm-_3!?G z?|u)Wjd-bhb%a#^^(XK0;QqNBfBHz_~w`j6HxqNawwAF>+z(Kqfs{0m;N ze<4cBM}Np4zcu+1VS=>aM6Z4S8&I;al>Y*Yc+`+5f3A;EK79E1zZ{o%`sZ?t$_d23 z|E0_e9Xk5-`JYC8&D`B*KQ5K%kRgF3aX$+AZ|wa)$i!4L<#U{j;|= zYI;)fBKj%+{42~12vGjr@gemoh8#x~j<41Du=;e+ZO>G9a!_IX@$;|FmByj;rln_n zin+kgzj6oh*r+wcOkEW4>EI(_(#6rqH0@&7T0OK6CDTbhnrQjob2?f5JyZAiz!~-T zOzH74H16-mM&+^l>${(Qr&ianBhk^1&51x0`Hstq{%3FPxo3aECe@p#NK4{+@HA!o7Pk8#?=_Q-7v|sOvlBAj+2vMOopqw_V z4M{Rfdf2`Dg)Kn%^nvXA!Q=~nfxL~=-%CoOsMeYsK? zWXGhy)9=fr!bo(q6{Mux$&w_7tIlWNQLS3QP<=;j(F^{74%=FZmH#oX*>`ofVD!Jm zVnsfG%&Yi`HvN|yq80u8+dRpvmN#%k;l6#FC-wb)7Kf_MJYtQ$tNX?CI27TT#HxH( zy5-93$tsMDa=M_IBYpg!R^0lDXnB{L+uNi+!tdJNn3VjHvBJM;&89BTb4l3Sin2WyvB1n+{U z&LLl`rhs3*)@LWfI1yjZ8OBM;=ME#)_3KZ*Ga5x(`kjp5xV#MDsWdzpNiF4ukvtWM zz60FDCH&LjKaul&ge+#rNCzD%^ImmkW|4~kN?X*b9Q)PNdM7*Vfk=m`@~ z7*TdH^njs-#QN6S=P%;i_ikF<1Cv@4FtKKy=Qp6MVQBuY z89DTWf1@9N#dO2OVoD|-@Ayq)Q{20ru~5ivyA$Q_6<5)t_p+=bkjC3x0Tw%@~I zKV(gJn?FHT{D?deg8ZQck1;30YrWxvrwOq;FIlykJ3?+> zHFw4zHuA={1qTAo*~z1v@Ndy9xXCY#j+bS}j`h1#c033`VCKGWuBWw%NAB>0#H?gy zA}T~P9dCg^T2v}+}M!>H-JF6DJC8SxI-oXpC|Zm%D$xX$iTcFzjO z>{4^~4M$|_P3`@0)#vUC1A}jFm2h3i}@tqAwkwNkU;3K#~2azRz@EBPPIU@c( z26%(xyPL#gFem0-#kLb9BFo*_0hi#w>(eusS(!zL8z%r#6$3^YKmQ@^fXucGew?;z zdWJeim4%4o8?(ts^~+N0(B!EBW_Z$4gtMFZySu)ntpbl+;O7W!%lX#xzx9F*8tfUQ z9s`}++}3^9(wf2`U65m2UM#9DO(T;^vjSuA^6yl+Raa|}I7{O=MwOr7xZS79Dt86m z)<{&R4)bI&rJ~wlZ)*X7Hv08`Z8A)WMcqd;(Bwu&25o+ORl(z#(!-q!&NrmG0K<$b z4Tp+-pB0u980yM6(t$Ti+7k0ea?6*A;m-+2e}=eD3))$) z!d}QA)u}~OWS-m&j5KSq6R;l;$2E1)YHjo>V6-vkCl*bn&8!EDGr2zOy z<~yK-f{c>RkFFm38gY3=w!;jd)dTm%ihbNJ@D(l)WN9_rdEoWLyw>$`Jwy1w&Ww>A!P z^Fop4xFl=xZfNGB@7&OU@8yS||MHJ&p#Nm8NV}PTW5?LT0swbhy}z4zV?y6JfPWLr zs2QMGmP>i;X~%|x8rZIC4&2EYLU)=LW4hQttWZa*4z5cj34Bo}iGzXvhCB*0aX@7J zhZEAypn-67=tKKxUKoNFjN)1yk!{yt2oVs&({|C`Z0hg`7j}3@{?VUkQv?D6EncVr zOfyl{cXke^AsUfH1ZM}4oFgXT#mpplrUK)EEFPmE-K~t`@34x z(UIVY16Z_Y8-Hm;rbJ~@3tdj?Hy{nLuZX80=F9LaC7Bq@vys^7I#aB3OT0w~X? zsRVdcBt%*dX-NyGGw9(=HUeULwsrS-Q?Y>b+ram&$iuPc00NNm^_N*)T(ryzUC2%V zP#K0gp>GJT2l_`R2JB-(3Bl`U1Nah({4c$G z*RXFqQ=^XIN`MZmQ!4{fxi%~ZM_J>NS2{vOf?=q?07&U@O-nT~pAoGf-)S)5H-~$Q`J1@t7BPN^tIRtx*FX_d;pktKe&|WV zsYxG!LRX)t3QcK7-!5718I6+KT4wL_T`k2#V=)Y*h!E+jUY(rpk!p@HXCb`pqVoKe z@d!uJsmh;v+ObXw!1tLZk$mXE1yxc{+>QvqW3TmzRP=Hh60R;}N-z&tm1qXjIM*k& zsPHK-`$pZ3GRSXK-rb1|Mv+g9s0_{y(C4jof=Z#Tfj~(>RdK@1`?%$D#1l_&}N?;i)FQwa#oO9_lh*?|NO(*U*1d+c!eU!OVQG3<5K^txV0;4tt>qJIxyI9zFl0uHGn&RVxKf ztGt#4JMJyKVev>U_r{NJU0hjjAYU88QBy=Suhy0JsWb;Q^1Qyz8_ICUGPn)wunE`a za=DUD*;U4N;1)MwcXX!ztw|?h*5;pFQqEY=A!lmP4$FRhTzlGsynuPODB-|7JEO&2 zZ;LZ<`e~3(t^KbSA;W?kX$>=o_h|2v-DQtO2t?1ZMga4x2O_86fio4m9t|PsZJ#P5 z8H>~G`J#^A$rtYBNM4oN%~#PC2pv&drZB4+3^^ijZMum?tO ze8Z%T2kJtG}4_anpU_8;2oYe^6b++6pdw|;yl*OwzW8j zf$Iz+7Ja73aPTT@&8BCxlrLMV%?z0Xadn?oD8jLHnPs#+mCLnKWmx#Lg7S*aU>#=) zg5imTe64vB=sgv16x6|wpPAWv+5^jMw)|NuL;%ZrGlH=c1ox9Z1ub~F5o*y`ji7Lt zQM0a9n-@0=B*VAqK!wmD@~l~%x^EE5)$~WHi)yZ}>H9vwEI=@zmDiX10${C4MC(cc z_}jg}kqeg~EP8v5ZSN09fn(kU)3JUoo%VY*cJrU}HuRrG^ zn~dGj0Yafg;%@j%mKcU5<*!u#BP;UX`(DpJufCYbD@!=Ox5VSCN8knW-g8#hiZ>hZV!Zld zB(Del?B&7ZfK9`*w)NKRfD!xJQ;|GBc%0X#ykLxQz!C3TxEw;PFtzg~r_tD6GHa;m zP_kr{%O1zKgCsJ#K+l|(FRZg>t=Yq4!6+gm5wNQxFL5E_^;ZurJQ%AHtYnWywkSk) z-V{I2IzCuLls~d!FG_r5$C%*(kfUO?L8hNN{ITbpwVZEzUkj!ITja-M3k0-9f8X+1 z`TjIta9JN)q3yjeTeM6_KGYOf;ZUub)`JYj|^b~~bdK*%OADqB@wC*6=0*wWSu%+FB=5P=)<%~oDd+{vp zI%cf75HZME#`FXTZ+6Xx$h`@>c0xu{n@O2RS-XzZ#|LfE81n23%AIXLlI@IFrd;XR zYyVEz5X2pAoCJ|~&J-w(D%n&e`!<66u1aI8g-4tT}MCvd{F-w$ma4Y66 z5Zvc(;vSvCt`q5IMDN}Qf;)FY|GU5N?j4;?r0!R{D;^G6Q?6;}R`UK<9eOBEWCk>u z5l5TIERQeN3DD{%I+|M1diJH&bfv^^S!LhmJ0qr1I@QKq~QpzW?!15fYAYsEd_6%IzzJYID^V3d1FlcizGciasvpx^O}zRbE8PUd;C-(0%f;`A&&qPP8wsw@d1_ElcU)M|%7=rA)mRkB6_c zV6B8`z@U zD0NVeYmHy&G&)Q4I$K@acWGr_wE#Uh)Q$Oihtb}yn^j(48H-Q0%&}cPC5KIb9ne}1 zv(-h{@U=2kTjaNSy^Ss9(>a`eq7K%SN%}IA&FgJ5$gzFhiOfSnAIX-0pW#zY=eF6V z)%KV!#vD2H5+%jw)xCdxNjUbf;@Tb>zy@z)hK)2}ej2fSEFASN2}Druw23P`l6)lnU*t zC&}D!ZUqhrU4b|dic$|KqCkferg@8P&X6De#xy>s5uoPjPC(+`$ucC7;h5Sn0!hsf z?sFSd(zD^r4~y=YBjguOfgF0B|eGqCV!WG~2eK>4t~h1)924Pq{E2T6|ZH%aZ&fAk0cv z*0{qBHJRxE9JOBiUdv(zWtt*`EIeB$1}%UJej_Jk{r0c@o!|WAAN=O`{@^!%^}j); zkxL%n=sFWH#B8HdC(`UlUr|MG{q|3O{+plt$G`c>Pk-~1zxA7+{MWzvtABIIEHvTv zkU4~w8yo-m=ilf00Aa0d1#a>+GddVt_vnW>53;vs6p$(A^6h$cHMc#SW7j$X>t=1AbzM*L)ZK8|TA$et#%lyRW=<3m~SXtIc@e$oalx&r7+?Yt?FI z_r_mz${dmbe*r=?Lbh)6hNA&)PgZmy*Cw7#ixKy`r@T2`1l#wixwC-XvD$q5z)mSH z=k8)un~uda!?kj^TDUvfzidFW2X0q)q~0uG3Ur)#RmmZZL9;z~r*vguo>*6q#cD@5MvtNP824@HaHuK0)J;iB-dFj;)9;5Ro(1>$p2l2Uw ztZojRQ0Jw-v5tKOCnNsSMQ(gaQxcR0<99R!*6xMfGqQ8PEy%90r9Al?yifWAnYoK^ zvHw=Oyz$GnpcCSB_w6MEgU|5YuRfon5bpD$WM?lvc3}o>b27-sPYQ$!j5o%t^&PzA z4pw`jgX;?BQ|wT5@=UnL?CKRKb6_HyovA!Ph|#(N+-+WD!qq|Ag&0$S)Z^EbR%mX& z0ba`uXD5jbgeWd#iEd(eyuX#Wdu<1d9{Ad+zC-n>8UqS0=LmxV6H^^PxcG#X6 z)~+>~8}?GuPJtHDhB(57OR2#)aMH@eF|yCaFWem5e?Sh_GQA)0fG_ppBYzNp=kag) zqXCRufMjOXQ)a!en);NVKvqD%RUoA)HKF3#AI(Ewn^#pqj5CUP-<$72w%FrO2kU}- zM^(=yaK1h>i=2|Gn*M_bdlZ37m~U0~j3@l}aIi1) zhNcdwil^cB@3{Z~=+SJSGq{<77=UVwVn{CoslFvmPpSn~_bEq4mT_gbXetG_Q264Uak~oIAg#QiI+>@s%TGuA z##u8I5RC;4{Wo+P$t98Bj*3=1PSDC6KG9KuD-GtK2eBUG?zuy(6cd~udNL9_c0=o5w%G}MwoJ~D zuC{Vn&P^pE_Px;MOy$|LR)yB3si^@M`m;X&$L7cyp`uzky84bztgC+2ff;qu?&Rh( zjpE4~dNAM~{EF?I5D{Z@5~NW2@V*PVeIGCLRKWQhJ$Ob3t^;yyEQGT3S!;j%XXUjzF&a>;g%{M)P(EVcG_yr@&Q&$A-MgNp`HP8<+A2Df>G zWwC$^hX?&3t8`N-uNOH%47K?t?-HsyqCUN3vT_p26nk_AM$v7iXv8QNL`SPWWNO3% z_Z+|vNAYd0WC5Oz-l4=Gny+5e1Um1zh#QjJ(R?iJ1^Rwq(Z1JBO+-(-K@5gF&Kl3N zPQd+wK%bMM)njyYGlMt?LEUtl&t2s6tV;%@(+Bol^dBuhjsn+;?Yn&5O}-u8NFLY+ zHKc5jA30X++-38Z9fUhtTE%pj45;b8=b%8&nap!epz*v}SZ$YQ+p$Z1&m+T|vqkni z8>v${J5*{{k{S(^(T^WN^AbiD<3}#DMMF032jE&WIN`u%K<1mTvpMr@(3YNQlWWv< zK!wj}A#XAGp`JRf9e6sgJI|ZU^GX|^!7zTE*cZGYq-iI4z4=KHPD4++E z=3Puhdw1ELky%0fhM-!XxWO{{QEl6cZHsYcmw6}t2ljfxr6DffG4*BYxuHi|YaHC= z^cKt!o&{F$4?q9q&lrf883}-H4{GT+yvrQS2Pl{kPHPp^}Rl zn+sZc-nOKOumc6u7+Yd;wBMKJUZJDsIm4Y59kWsJV-prPv-17e)OL3q(_ZGq@g@d` zi|s6=wD7`tgOD(wr8^067ebD8)4oYa?0YjI-a^QsR^1z9cmO~3l0k;QkU=UFEbBK& z@n}^}Qi6q)rmi_)`_p3lIG&3Mmjgs*@*73?{vaY+h&bnO7eTd10#?eGjd@eAvWUPQ zL?jClbVj~WLg?vsILo=p3*^n!2!c%zurYPhlI=F{zGqeb-_PE?n`!M%0*F?amrPVj zKM;Tdj?n~&!buYF&8sEUpv>usD+FGA!lH?}F9evFe3(1Nc)3@Zw6l_dW_{;ceq%We ze#$S3{>T3~!}nfex%dgLfr?Bt&ib8$?;ZZDWOOG9^0hM)>^8E8y;Y=P_X{HBWvu%6;^uQ0K*%8 zDCyN~vTH@_L>yDY!O$2Q$d_3|aS9g&9eft`jpn?l7Ci42+1y3TWg(ndQHia2$xse% z+woYSHC<_4xM-blLwZAT+q?nKAR=eS$R+F0z~>wR@CYYqKy|l8%ye<3ExxDqUgR&- z;49fwmbb7D7bOihNOEHo`_=#v4fmY6b0#%!rg$QWnXWB+{+^w2tyrvu_ zqJJ=ixe7yPj?9DcQ0lh9wdOoDYbb3#a-BdR5Pv;LW|- z@q^c~)|^?3LKhQsY~{RAvHSH^UmOnL>+Bwrztq)Y>J&LRnwj&37GBHTd+m;0l(t#d zUa6N4Spf(G@1|gX-n~NH77s;IPoFZNs;mqt7t4%S>yH8KxKF{SY@lG<12N@(rDkV3I@Jj|Jjd3y23aB9?*$ zPikmJW?WqYxQ4b*c4FAp7dRtY{w249OKu=4DMR3IN_Ggym+_{ISMCiolZ^`+_itd# zM3!&pOKkIqtF4T8ZqFyh$6?fs4Oyg=!?y6?3XU)Fp?Vs>_k%eg3BQoHbgrDufPcb=mMs|de2^e}{!OEmV1hAO->B}h z6Y4|zXoz;g?=<*du(8QH!w);c=|-DG;LsGSQeo=^_(6-uA)ucmHb0ul|D0$;N^(Fy z9M28|D-0=b7$dL%x3KUBxykJS)&yC7yh^znC_@`MPlLpSO_*D6PV%z#Xje0$S5b6TQ4`?p99xX86##G+bCgMA*gTdOG=Wv}J&Khn& zr?(+1&Gr$j?D$ly?}104yPC|NK$ED=xWo{79gMz2A#cF=w+S#G9oGx2H-vfl)xcYrjc~!x|VhDU!+KVI5Ol z0ypyD8WUsY1}1AF)F+^w(__f$wCCtYQy%$HPanWFP=9!sdh40re>ND>6OkHjMawg- z$t&K;#LC?E`@Je^bIa?SrDa|U{!%e)r zgP{#o@BwC&B>d!c_jinZL@G8a;CK^*5mH=m$;RT{&^7+@4|U(;-XiN{BV+w~P^!mA zIk~eIFD|Kf);DB&00NHTHp~}X6CRqnKbv_@`()FCR||pta#*rLEUGpha@Z@CiXfv0 z4g|~`c&V$m$OdL2tww&J5zanGcqfU)@>&v_x3K5(|p!N^eY4HXm*u)x2u=UaK2Y3>5zQxBvy2~{-r?O zw{;5@2-Abqo)^-Mp7Tn5zoOoG2kL$sR@e+s3YrYmCRZ#v8U9-Spuh!fJF zez~bm(7eAgwP%Lhcj_j%->bJIT%HwUkxgnizxQncebx)Ftv}Y?`#yDN<$qaoyeB?o z&-LrW;m_OReXq92;*++>%&Ph5ezh!T8khfoRHT8UH1Dp1qZ+%Gh+E(>V{n8)3o>-y zs}|&n+3D9m&GE=00UdE-K9DBrGS@8V#b6>0IY_fU;n_Ls%)^IYRN1e83X)FA2!!E ziTm-9luo>6ZejgbD$7gx{RryCWO%)VX(-|ov?@j{z^qjjsr=@zf2xigjyRgKNo;c_ zkGlda#I#cCA=8mMyD))OexyRLAAYd|n3+F4V%~IRbW1i!mMNc+`j75!*m=}0clQFeZ*7U@TD+&># zXV9|Re5fJ%f=oVaVDsLJL#aI8FKz#}@=Lcm{ZIiDCrxRRn4<|uYM7KC%GB58|Ks0z z_YN2>WoCYB@-u;cEMTuKvL&obmYrI5KB~`Fi>oSmXfXWfTX~pZisv-jjTIJTlG#*? zfB8qGTkn~boiBr6BavN|6)c6fNlmSdewU0EAXPh)>_yu8Qmhfw0$#LQ1ZdQAsu9bO zO>}hku(_vqvUosp*MkZ2Dx>j}NEKGRpV2zJHXS}D&5$IXxzC4o|&3DGqM^=dq z4^WHxzZQaogc*j8hJ}SaF1wv)Rk&_44|M=mK&ih4pP8JhK@EUy&X$*IyCUPt2>US` z)A6_b>c~n3^@a%YsnOJapz5MW07+N2e6^;o47zi40o2cpj5;4g*ZOtDSPFabzUGXqvU8r-B@zD916#JD4dXQX9{(UATog~ zn(wLbiYE$%PX_aW{XXHD#;}Ns9;UoLXskK0!=$4vDY~Lq=GA+yJ}waKAqhr(U%;_( zcg)n;YHc%Y8ji?nAtj-&US7ZAN?+NKQfs9!)61F0F;CK)s7TM6LAa; zZo2h92q?Z89WsdGS$ok`vlc^$V#S&^lOd#NN7v6 zO~Ao)TW_~CZFfxAOI?(F%g`^N*&X&sUi`xeM`NU*&(zOXpk$XMLB(HA35u^++(ES2&mtbe*LISZ!mk=-&DcSQeYV>bt9O?sH603Ae-DY-&+&uIt zE!luwSjaFhsp@^IQWID)x?B&doXc-_<{9&_CCxJ<3kXsJ+uBjKXAnH5b&;otns6JZlfwl_TPHD)IfrJhG1&l@2QNc|oM*^@pPgxTl78&5w55JS7(rc$@IYrU2G9 z9FAMnT#6rV{CO#%Kv$K(COaQ*i@9mdBB_jzL*h)0QXx-BGB`1nKNaI9R*}`z+WJd8 z2UN>qf}3I%Nu`)%I!P`XCcq7e^05&i zLE~#Tzm+k9N`_4Q|WMw=U8Cm}eK-@4~#%bBH1@dXiAi5K6qwO8Cy%aFvd`y`> zfz4vClmiesJOZhHB`j%%Co|9X58k~w8i@lKfdY#wb;PM;(9x!NAcrG_TwNgpyLYF&s7uzIc<0DpRKW-wf&!KU;cSrt z)WW;zkJ)?DXqjL2z!Ak&zRS;i34<7IKv!}45tZW`Q@-e+5pQ9eWsRgkgo7&jb4~}N z&fC)BeQ$CRkO?0gn!#n=D#UaH0}cM)=B}wlJwi$rIB2*FTos*2%W;3<|f;V*b2z)S#nAZ5W@ngb4#>?vz>Ylly_ zN%5dT`!qV4MoiLs`;Ce@YdDo;SK9#*brOvd6H!>Ae2@)0vEQ zhOzDuMUv}U+0;HsL>v_0ToJMy1? zCtS64v=y8Q~U2rL+DjHA47+8`Kf2S3r7CC(@#0drxopFT6kF%8j30W_=fLup%m?Bp+ zW`lO5mgvI7x+uQt!WBxBr7a`qUraWqn9?PPU5(R3L__S=#1+sld^Er%h#Ls=yhkUejc0iu#a+4<50gomZ zldV*$C}ng4Be;w3^1XMjnDv60FPO<}TeOJ_yk*}f+@ z5OQ(s580+i;$2;I+%SI9L(6Ozun?oinllzf+6$|K>4oRB>PG1CLkN0V!g(>nBqQxy1c&NvUD6>AO6Kj1X|$nipPC* za0^oaqDk*2eFEIO)4h=WvB|3^A;vdw6Ax^;Q_gYr;%Z9?vmu>7ilbc%)0I1QYMpOK z#!nHLPlp@GY_$0#Zbt=W=z(6I9n8a-{zg9yc<+$S*`xrT-yNGeO9ecKA4x?QJIhI$YJn4%ojhjv!(FdY_8RZKco|2Pbr_ML2XZlKkk<(3w$vUeKH0G z(;)SLrW@j=aix~yczZB+QVO!bO#@V9O;%nt!eo`5fs?Q21(H7<3!NOUK%TyiWUEtn zh?)=oQ_;gK@wj`XYS6K!nhax;yb@Vn#>7gNdgDKC>hfNTIZ0#8+U) z8t~V2#&lvxx8S9z52)jJkM3OpKz&V?iJt+ui7!%7qM`_(!R=;B%{THcuYgClD8QS?DRT>?uSD*cgjZU z=u2Jfa&KXCTWcjLPQ|94qQ^~w@S)BSzdnKuY0;|K1Pfd>{INbC`k_#{ugA?W^EarA#B^#*)fP2a1jR_Nmj$FJB3i!aSG$)$G z4c);RXg@g73C{ke=d3={DextHFX@!e%GT<(YL?@CR2gU@VV<@IkK&i9Jcs~WAJF|e z$7}-7@l`XPKc_eT)6Z@k^alr`c|P%79i?0^Gv(7x;Iu<91r=FdSo9@HkuK;ii z7we`T-Hh-3n*H%@f&H-9TlFD-1Oz<1k2o}Y^y6JPf4lRnw1&p4n7VaKqjWe@BlC7F zeIB~)Et?XIj|IGnxGk$y&{4y_L=Denkg77Pk2BSWB%f-t%g?O>3Dd9s`snU0kc#p@7nq|oLCrNP)72wz0%{z*WM7fV9<(eop!P&Gnv~_cp^uVTiXem^GtFer zo~0O0YlapI>=5dI6vgxpX&|)iDv+ta!UNq(O;Aac2sKkw4&pB3HGP*o+ zL14ql+5>9%s~LH%*;6(*h%hY!J8{XDqygXeryf_4bvK{x^MYs=!43{wuzua-m^mj& z4xCAD93s#v3>;c1w>dCY1AY&$rpWdK$BH5kZt%G<MmL9Cuf<%xupon;Y5=b*di+ zAl+KaHgFkF`i>L%zK!QevO_}apZ(&0F(2qq%}Y%X@d(GJn)YYbO#ay~{#WDQ{TvQ} zbf#;ZW|fjQ(6$`WNwcg47%jk(v>%|k??@dkNfq9cpr$qUq{cH#$hObX?2nY-8k#iuhcJ2sr6^nyb_!Si9jN|Zlx6#nV>_azE`F7Y41M>+LP*I>JXueYk^RdgWGHVYoYNgCf3BnX&k9 z!@gAw+^qOg=NnUII9pGwMUcr@wHctcBS4a#o_9y> z>wvSmj<+kUvIdas0L!a0o0q4S)GRc-VBm2{warPJHb?B~rC6ZMLhMuXY;AKuMU^JL zw1nz)M+V#uH)|)@-ZUiq#G{0riAC_09^$zQCLwQ!iNgU@ErY!}V+ryJ$~4~`jE|}x zk*_NnC%WqZ;{+F*@t3LZvb5g~3^Ia>yvO~qCT3@0XicFZ(}%b^!~Eg9cWm?lKB}SL zn4wdhO-68+O~gw3Mp*xz`qPPwkiPEnLcwFI>vFUF@P}mIDRAa>`AKye#q(>uqeUhQ zF(k5X=84SwIxo0k67KxQ zyicm3?ebJp|HAw{(`rz->_$#FOVj)(qx-`jlDLk8?L~rz*E5koLjwWNc%sT%5>}|Z zg9q@Ue)R|ctP-u(4J(=SLQgiaYt%ESt+=>`1#L@Gu-eZqb4*4U8W4gcr6VaBOuJL0F_4aR zl>?qVihU{HnWc?@t6kH6cv0~0m6nIIbgrZW+4FQO3AzTp%pH=tv!n@bqt`}V5X#V1 zWAebLJ|Du_RF@ra*EpR!0D)$xoMU~N!q^a32*r#~DcnaXT%DzKI2U-L+-EeiGxOo8 zZ>}Ix0mlM7G-y(*7Rxs`U-0a9pkGevssnTollTUq=la|i;I{g-+)8Kyvs8yP{y9ny z|6HX3!^&Ip7+dQ4R{JT^}FNIq{U9>NTxrPl;N1q3Uz44 zjgxKmA|r9Ere^16_oOir-_VrYXM`qT=VJnM_VQv3Gg`hHYo`?q6o&)qZKKKf*?yL@ z=}8S8Bjg8nArs8;TiTXS9H96wJUw4R5Ke zA?=7`HY0lr;K7l2^+qm<^n(~cKZp-#>dRaf1N)``YCv!(I|7h0t9F^h z6uaWY3?v2H`28P|QC(w#>W8A?gJMWv#@Qq@$kG?B7mUo zJA~>TsrwoL6w!W4Hi@a;!+Cf1u;C9P{Eh1x@QN4sX83t!3Wz#vtX}xlprPg5(Ux7EXrM4Bj&fDxlD?VS@x)knjy!yvpU3h zn2s!d89V2v9B&6H9y%Gc1%73V8jUiNnT!zc)UgHAkfTOaSzaw#16PK;fFm2czS~`2 z6xZb|{UE`|qjh2l-)NbUwTlUZDNM&AN4qRXce*c|wIz%U-Wq_4&dyX_lb@w!DVakU z1^L%}LKMkd%B(e^W6;WS9Cjl8vZaaeT+?D&wC84Q$2&=H5);!TiD_%ICboxm$5fJ< zQL-?zykcgxWe+c(?)B6UT|?+Lc=E$R^t`Cha?XxdvHtMZ>Td#s5=6HzLrB1mxGZk4h0%8+*rq2F6YI@vUuTzn9w&|R!e>k1miF%+S|!2 zoX=koF|P{E7yvgU7JJdQYM;#(G6^eh7orvsPa-1QAPtoUsO3NpS_E{S)Cca93t}<_ zZ0Tm4XMp8e4zMF4xL_tes|0+^-nZvw{^}R(WRhdEu>u7673EM^;!j?Q&GsItg&W>mctlJRZI=D|U!&>8MlSOa^iW z-f0*Vvt?tZ%5mCtN2bO#NqwnzQY-VpOet?}J{m=KB)eo@FuWY-+pHW)g~!{gr7}dx z=t3yw-C5Cq*0{2TXU(iI+#iU?I(#)VkSaB#Wnw3kvJfSq2_QUR-SHJs1=|U2l56iw ziC@gvu&En|qH+}0)fcR?SFJbyp_Z=yZQ{T}v zq4`AxCV>}>bWVK5$v5%$4WV)>^?bG9dP56}8Ns>oexNH4pJ(_c(XP!Tmt~%k^?ru> z_3AJz-I&14Sus(y{$;3p9Iw?qfRm-h$i`B^weo92aQ%@EKN#**rBCUo%63QGsTLMg z!dpfZRZ(v!`VE@>HAQ!RVGdtj744x-sZL;m@{^56#ykCkXFR}=dK{y`tR_@BnqB6; z2mVk?A`V$u;=U5hm(*RH8hP#5w~}a+II-dBIEYpqYn(X%Dft3%S*O};`9c&m=~eE;h!XcBqK!Z8&#DZP_eeoh>9eO2l;xkAr4r!Uzj=Y!Ew7nd+k~9%c6}B z&%ucL(W5>=)=6Ht<5ax6tw(MdNA5x<|Q8Yer)w8Ji6eV zZZKGVd!)|$!aTKEh0$wiL}{v=YUJnc2zd|_m#PwjeQQR816GtB`v{o`m3k&yBtuJR z9Y5WEZTSH@6#t-FiKFF_enlFKl|91~Eys=9skt6VaD@h?Sqr05!DpkUjcmxSg=s0I zZD}4JtV4F*p}xKDX~L3>g0^a$W-W*}*$-Wv^2YLg8LNONOk$&(pb*b7>`HY=72l(8 zwcE-UChx2`&W}|FUp@$OMG!hVPVfm@vG9#smAV4GWe@8sZ!lpCeD1RRJ>Ci^H!l*> z1AyvH^WAo!4=+P@KvE7w6KY(`lLhy-%G9c$<$JU~qESf9Qy1vtZA0heY{?#qnn(N@ z^9>TN^?sire-L~42X%=JZgsnS+K09UPik6J z2bI>y%H!kmydw!t2>dN-&Wk!7nLdIBsBg?uh8RoCj|$I+C$gUDZ@we5%;gS_G1wl| z--&Unyf(nrI273nHnS!_@$F7Q9ZMSlS<5dF!ZXZ~u61Q2bw~223a4~NlZB>30U-tN zC7>-<$7+_{Vc>XdD$ss$Q~8o9p6TrDr_CIU4A$IW_4u~5!RFm4W-(BE1z3jGF9XPs zoEQ3y)-0Mub)X%6i;YU>qkm9~*v7ybKlrn!!3JA2h?$*Nh@P4LIt=2#iYEM&C>+_Q zU02wq1Lx5ixuc^^Y(4~cWYdWUW`c#7Tb}56LrUobo`old?NQnaN3<6KfN~*nq~Qk3 zDm5&eGftCy0KvQNBi`p|0*rjxQ53p2l1BFINT|7;=+T-}b|*~E4N~nT9X5#v5ywK- zMCt8uhb7Sp?YJx5?mcq+xzsBTefvh%zw!g^hOvVuUw1uc7Vvq28%l}*!_Jb8*&c!V z0AnoMos7UNOA{W*ItC*z_c=iS=o}^Mi#`JA2p~|15kL+yfXV)RaBTqf1hh+02W)JB zF5!%)KLp9**I*O5^s5^@8XMO&x7$G|mMo(}kwxt#NJ5<-k#HIaH};V;cz9{BHBf#|OU6A==sj|D%f_?UVUr?v8b?drI^gsf*@}L~@Ukdq^$;8OJQ$ zlI}UM6h>o^zLq{F2OS!mp?E_bK&^+G4`h^6^4Dp3w#C(D^A zx9o=JxeV7thVe0_QMR5!Ab(K5(($R+lM399yWanh88l$|uA2t0Zn znHU$qe3MQ^LfRU>ZCS^!%IYGP>{vJmxT%tT!+eUN0Vh*oOr(a!3T_wL<5r@$l%h-Aj?saV25Xqx>O7++goTL6*$+Hwp)0pmYF3iH48*Wq`@`!xbi z8Szio2>D<94EV1i2`Q0+dIX%Iv;P9a*MFB>U{8$se_mqz8q}F=l<-X^#~+OT@X*xr zroR6clmqwQKKEJCDT55x63{c)V7L<^7yl3K+rPMEpptS(M?W}k=-g%pGX(!y?As6U zU}TS2;i_A+RnUKE$7A?B+hW>;7;dCFTaK!-wC73)pKSWqHE54`$!l0+ZFV>^^Ro@F z2slyL29#&>1y;0tACuBbR!xFzluI!>1wYn;Fxs}q%I`GFugUrPuOALki47@*CA!rGKSkiig=Xx~swt%=NJ zAG{#mx2K_&M4?a9knB){lt&?4Jl9!K()J~wyZ#^p zCs*B|rI;g3><&4Oj$(XC zC)xr{Jk;zy6!|Mt0PuW9be$&|Dinpj7aOt2a>GFuUcoifEG-T{8Kwn`1Kc`C!M@&1 zI|w2}qYI9$T#xFOxrS|tf!w+y1B3I;?j+BRJ;xBIGjVoefot*Q!w}cl~Hbd2wgx9YR#(EbSdMCUgqWn$yX)0OARqiR?YoU$$~hyjy| zjvonuN7fGf=NYS&XT;atsIl&->Dy91@&^{S5(M^eepdSHFUt%rmTTrkJlGgw#w_y( zR;H*INL!%e?rM!dRo<9$Qq&`WNYT;e=H-Y1*+uhEPa8yB%HTq6A!|EQ@q+i%cG^E+zGjuOXc{1ey{%1&32TMZ+<@)7u|yMRAHg#F>5)Wm zC%f0uBAg1HyHuk{n<+rU*T!;I>Rm(Q`!W$T$z-#5IvdLzl~eR>@M_4jBo_To^LqfB3E4zQK6Lf2S8vH9)#Jh zx7=_23R=#djJs zE7=Wi$KW5BOt(EmIyCaZQNTi|h#MO0uBB+6?CWc1=FiqM*|ac0q?&j+EHkj0vSSD} z4$jxKsllo$L9q+=Fb3fjy*|54={2`Co?t~DCo2vT0ylvr2svn31*od*wE9M2jx~~@L&9VZU z8J8sv-!G+nhs5S1d(_?a=^`(#VmQnUH@94M3&#RD@v5~dFY*do7#k-eC~K*hm(5ao zgod0{Ikns6DbvS-Bh3k5hy={NawL18JpzmPwdohnvxms;`NpsJW>-2*KkzI){m>#W$yQ?}pZ7HW^U z3Y53(nC6^Qj%-JkK0N#p`z}?l5U>nmrDa5zoc1e#CP?SfDa7@KhfpnXW+X*_3oLMv zH4IxT?adx787>oqpIb%4|8RI59(NcE?B~B6(7+Jk&yfrj3Hyhiy?gf>L+?khfN1BL z;pET>ajdrjS3cQM!tzuybkz&M6K_d)MYD=$*g-z2BQ$r8bx|_!CRbnhuT;l(kw6OD z=2zO57Zjq7u>b)gK`$SEu|nTDhX$gVgELc|*{g3>CwD{!@|>m6qJK|1Ne$$Bo}yow z(>IfB-~=|H07Zw5q`X>>oZ}1Gw4YtmiiuQj`VD&pZ8Nxxp>w*?WV8>#;|#q>w6uTn z1EDUk)cK722KaMmz=wwmtxPoSR2hqzg1!=FrJ2~+2ZXc5 zEKT5}P(XvG+Obt=fOnzI`0q(HfW|;O;852o{fTcW9Rt5w!YHm&YiyVy>UUB137RY9 zC!tvrcx@H5Q+K){7uC@ASuz?(>@t0(?jf$j*o}N!YV5LR2Nt5HKOCg`@dyrNOLM|m zX-x1SiFLydyv+~Y!p};Kb!~Gr#H+PLOceaZJM&rXxUNwmkk``tLq9Fw|&eV_#2%4W(9quK9<>E#G3ysdwEr4RVRKv#=- zBpwY~8kdZ;T}>vh1-P#Wn74}!#79Gb4vU%*r)(ZSOUHw+w8od|rx5-7OjU0(N$w5# zyf>80(ZY|$OJ8)EIZYsboYP{$_2OkV{~Let-Maz20_XW%2!O14TJAY+mmg?5XlgnX zS-%)Bo${MeV@s2lVvmLP-YURQ3TB<>J7DU{0B78;NY{Yk-d=C z0gbw)y{)2(RAaklS%yC?q=fT!#a3~x-Wvk|&VAn?tVjq~mR0d)LXzQ{id3r#A?d(N zrsfzNb#}@ZtxHL->H20N4j@2_e##H5z!>eZZ@PlCrL|Ej?mEa_&YCmLacpE%pDi<( z4ZLk%(6-hd$x>O9nx*wk<>E;ynF4)vs_ILnF~QhdR?h=KqiFs2rptNY+@W6jNd|B2 zbWSreqzE`=RgK7|uSjWbfi?s(!Pt+c+`hw88q;uyEE(t0tdn)@;#~(N!6XXgKVpxx zMoC&XthcEuMYdJdUH`_jcEs?wZx9n=u=~&}b%Bisrf~(Zn(^10{^4aJ&uO6x4XdWc zGqQZqpK{tYfW`odv$1~gQ^?nroX5T84_Hf7M^uFL6Da&J#qP%(O4t@iwj8l?w^YKR zy*USre;eP7UVk3J)ly)|e?y&s$Q%94|YCFA67RF3co z_<9;-!z)I>&?1JgY)HwG>Qnaz!3di3bezFXPWM;Vd?{X3DPtaL|8+jOyA znTq;lFpR8Y-=1>X;>)@!*%@u9%J{|o{v%iuTo3pbVspnG3WW5e`js_D<=v0>;?K)I zPMDfV#5!Z7nBGK6J}!ZxQk1kY&H8KnVj(TUuI2{A!o`mEq^`QJ_%abB3xkYGk%h7{ zp+lAu4NV=<#En6~2)R6;fZW7006}SuBMwU^LeE1V4924w7e43gqFUqs{9doDIQ3XN zD98YLo#4eA9SLJxJ-PBw>C%zj?`XS0Y!B}JXOC$7+!&0Hcl_KK^ZlIV1pNNy4m@)M zY}U=Aqc{2(IdN!JQp zd8w5SAmyaU@7@r(`7o2*Y6X!ihZnyxn88QZ^BFaXM)R7tDtj+kfm)XOrWR|_w9 zhb&ty++R9tE^>pm1qQ61Uke9a$sNpw4!Pmo>RDc>bEmYMn{4TK_mvN4Beo{s-~Q2C zA79__-0DO#DESd#8SiD{^Wo^11_sdB(y?wnz;m2^3!WG=1aBFLo6XNm;Yo^woDoO>ZWyPf8va6XKq7EGD{tltLHY7ve5I;{_~dlq5tw z@?J<*Qyjaxln7Bpv*3TxiRwzFyKyGPjCME7$&$lXTKo;0n9i#$q0jTU1JHjvxo3mL0_47 zrSJp1l1D_qii58(;`jaw^-{yI4P)VM0M}ey_>8`RCe!SR8nuh{3ZIXcldO*DZH?}q zsePD0p)Pj5vv{}f)a(GDC({#RF^32KwWUuJtljRWXVQr5YA(eA9>G*fH29veCj~3K z&f40DmY+#H<2)!R4T#QGJuB&qmv6eR9feYy3lxK?xOlN&#`7gV?@c#eeooe>i|2;? z>`bM2vyFv*&#M$yzZfy7tjRbpVLW7}#J~4|#N)NN7)hIV&6YNMagdW~LZ$ig^h>4v z`=9F@a6DcKLJH0l@f_DD3*X7`Nh1zz#{4;69;e~RNp^ZWczUkU+tBo_q12Bqos%5U zagD&QxF@Mvp`!NIyjU3_h&@L~Nwcl^&bc%ar_D8=&SREWFVZ*0eCJzpDs?p*%^gwA zcZ`;MD2En8z29_dsc$uho11M}Ge2=<15S8P94bXU^OU(wHy2 zm0=L~n>$jQa;NrUJLhdS?@`abb9rQ99%{;(S1Yg)-s_tDo1g#Ldx{AP73uB+$HuTi z&>P~{>4>F4Cv>BUt9cpHoXPP<0ne%V@A?f-9H%U~Jaz~1@vV4h5xm;HN&Hvl7LO?x zIU*XE7_hRJCE05wIff@#Co8RxOA0%%Xv?SNUTCM9K_KlUL#YwJ=m1T-{jLWE9iQ!^ zhZ{4athGb@Si*S${%iG*UoQim5hx>A8wzoWbw)YfdJ~e{-jT&I-^I3 z;~FG>KX0ZcTLPcufxGC4do7T^k+EZP7bga;Mz-LA>jm@(q4{{D-XmILo|N>e5@GJG zDr(v4+vVSV8l1A0gY~ttgUC8w(}wo9 zKEePvDjD7#*bbj^vm&Y0U2oADG}OT{&RI&9HzK@WhTd|d^t19k$5;%+&bwaYGeDAzp_TMScP=Iq%4SD=Q( zRjm*XavSQ~Joc>ik@2^GM?e3T3fCyDJoDm*`C}k6QMd9>`c#mL*~(A)qz($tNd{vw zz~370n1TIc{nNJShpYceM`(kWT`LNH%v=rn@3#JXqqaG}#E#kJrzd|uU}f*sSi&q_ zASqyg6jo??{H1Go!0bR8C)|YLm<%3DN0q{diKZx5g_Gm=P?Esqso@vdsUXLm>e8qy zNMD`d>sdNU&;lI!x>{M?9kgF>)po7F>>)wjbZV%?q992?7QAAHrn^e$1Q&Ho)mo3b z!{1MhlDG0@e%;C!b!n91=lGi;bB!&0POdajR|kCCSJyf{)eZYU@n7{|xK=2Gfqg8y z)YxellF6ReUmC$^85Ph}QnfZ1uCWJf^?D!XO?PdN>+|jD!_UD@Yvvc#y(0Nk(^5>; zft08N*lX7dIn|e#zgLH|td9z@@jRtgDx=};zFV(ErJlEn zCJW8llKEuU3UQ1IFeXE5R%b4yXyG}zHet@{bfjG#fXbw;p4cbuzN*-e!L+(xot7k} z1_$qCIIONP+LxZxmPrS8)1|n%->pqm*Py*qyq4PCde<`~xjL@5x$WWJ(vpJESMt($ z5dht_g$qmFJk^J5z25k1#$>u=)080YCZ)S-Pivw)gX5*G2r?urrelPEBQ=rP#QE7C<4+14ezxkA8ESh?>lPGzJ)L2+{`?A@P#gb3 zC!@V#Z<9cfYI3Hiy|4!;>7;d=Gl(IXJeL~b>1R4;4VnRT6c6&;XcO@h!X~(oQ5Ueh zBwCe+Y&XKT`5`-wvXYHm0mREAQLay-n0!gUpNfp5I_G2|jN+@D6zxNe=hcSPwiGh^ zt{y}>-p0jI=*_Da16Wg)XDyNr_?8ZhRJZp_b6clZV^^QMsoRoG0x`+Py;vUVse4U< z43L}1E_9b8+{8$602g6vrWv60sY+S8@5fdK++%*UaWDe@$3}pbbALAgbdcw@py>^* zj5mRZr0NCsFb1vK;c0jjJW!`F#A#m{%-g;YzMd*w92=0l)=|VfpJq$lxxd@toM*qNGJU3GpKIIfL#FmEi zM_z6ioK(sjn0=9cLhGBWx!oBpZR_LIiZHVr-$S3f?l|jfg|R0E7Cu!Z@g?h-#JMc_ zsg!SV7>L;%6+7b(K702LG#Wx!GdzgFngbZ*t{eRK@t_4i4$?GlW8i2}J7&AJ>qCUXj0(PB-Dx}n&PVFJA+%-ZtJe*oo$2`}-G%4!mS@KX<95`7(^3{&AAO7wy z|I2LK;7NZ8Lq^j)r1UN>$=uKgq@lStn9P;`?K8bOV(DI(kIHH*D6zP}QUV7@1H{{{`EWWs8g14b^4k3H zv*MX7fft|+78xk4cKz0Tw1Qv*Zajx~3|>-hNWU9Z2H$1v^bO#?4?iOdp7KB7gp!OA z;&|N+eADsM4UmyJEXmTXKKzWP(IPzv1s$G~Iz9a~3UEV|Am@a~w|VH57VZqS^6=9| z-3&(afNOP;f7c_v71suE818imF4F{!CD2Y0u&qL6RO;Ag1?ZSir(>>*iH15!G1xlc zErV#*8n+6&4}YJFXmz~;#FBFcUS7P&Kqv}8btc?;pw_%cT7UsEn&6NWt~uy=area)qJ+-l4b_XH$kS4TQEF%< z!(Gp|VSWsLtC$5ZJ~&Yj20CLnW@HHN;rf)!ZiO%iO+@mh&a&+w)Ka5SYK(BA*Jw~| z+7k2hAaFMN$?So4Wkk=hoOqOzAl8Cr@iEIwGo8_%yrrK)hAW#1j0^_#7{bmd?X|{c zDO4g4ZTS$$a-*%k@^cT7*&N-1G?9 zU@`KVL-W_eC1X63;(|p6@nALHMvxY7C3&WKRGhce&2u~&=wv39DQ9Q~-7O1#9r(nu zNCxx@5fmV7?NxT4HxCX?BR_bYVPk}d+4@)i!k=4o_58UXfqEQ6!mnlA|86wA$N|Si zyd%s9*SYE=-T}I3M;8s}Bbtz~;Ur{r(d2MhuK!BFDi`W6oCRXmr8%Od9(@uV9RW?# zkkKBo1wXiVr6%|Nj8|?B&(uC1-q6Rv(rLh+$I!Ej$LK|JEAqbFl>z?BoV9;tu;ajY zr6S?djlf@YdYsH%CFXsO=}j~C8Mh#H4ZIC1a$c*i%oFWl%zmQi46IhW2Q|N~S{Tr| z5^Bc^f8pUUbA-`#8=iF+Rda8vwpMiVxU#Q0b`<)0-(UJ4#F|E4`*b9)OvAg?2t?8x zSbllMfkphyO_N<4;1;2FvY0y_+<30=5{QEJ(O4D}-j(aDEcw_Cwm)-gS#)%; zQl@jawcafx2e5Ba>RZ%*g1;{H4Z2`9t^!-r!qIiumrE%0ncn zr0{tDA(?*|3Rr&H7o=OHYLF$4VUNbFNZlOm4xrN|YhMmBZ@zWD=eJb+^4n;&s=P1X zH^5&1+WF|$^X}9VjGLsE$3o9*5uF~(StvHr7f z^gLZQ5fHmIbj_5MoUw_sTtjW{znZh6JOnq5NbY6FugdOv+^fwN`SPOQqje{oyy)z%qPs&Kx>hGNFH z-hS5YXs?ah^=&qmdi#YjABbQ%TjJ$p8KyT`QG3veP1EaZ>uY0K`{1TJp?scC=;(I% zbd@1&8nWO%qn0(RN3t9O-Bbt~>aJ(q-4t8Sjk_r}tJ2hQ{!PUtsh$RXyBlS(21}!+%-BFFoFV$NfAf`u4qlycPf z6Xf3sa@`e4?rV}h|KYoL;)`fzXDg$>(p&(O&c4XsTWxm0aGPrUZ9D$98-Gg;zGHL% z&)eEwW`hXx8BVyWJs(xk;gP02mZTcj7js8OAP6{H1Y)P{IfHd;Wkt4w*^uwdv?f!L ziA+VVYX!c@buHjPns9992mob3n!mHI2KEa=xY#L%(FZ%TE$}u*1~av3+iM{n(2`h) zXEpVU_#8xa#eijP{h4dhMKvARqo(EXcPsM9QJy zdbAb7uy)iOu#=U{3z3@e>TBU*3jZG%0=NzA&~G9yfVUXSqxzYu++s@tDpSsFY--@7 zs4XxoQ$$UohbY|+S7Gor!tc!$gkI`G7MTbQ0cgWQ@v3xE%saGI%+AhT&nudY*}S0- z`=amgpautD*yx?^v&ae(krE-AVbAc6t+hw@!!gQa2&AlKc0g2?-@^Yt^4=v@mSoEk zx|y%K3LL3nfB*@#F+&U(S-5*d_z4g9NdH7+oDo7upn@S2 z7Xw)>LZT)1+S~jaapKpR3m(WYo2Nd++bS4z+~LdBbjFn z6B}JP%1p~l;26jE~_GAZ_^^U4ruy?OnQjI02W5fRtIS~X^D>$H^ zR0ap+6YX;++=0RiZ&Sm>-PAvVT&uaZ*b^`4$z7?)9?`-aE0k$ZzooJ}rgXID9rbg) zrPa|C)uFX^CAz~zVDiu_pg5J8O}`zuX_a|EHJ?@AiNz-y8qNAJQSfuXcQ0 zJE9U`-t;F;-Ayy(c*;8lA~Kk@4Coh*xh-gmz0}ll@LgW&25A12>;GLz3`U-O+_7T*M(Hin@5po4?A zI(R@H`u|!=gTZNJ+m#Ldpqdg99lFn)n<0&tIU;LME0y-B4XJjsk?|Ipl4Yi3T?`ul ziyV%<$U@u0nSlyayO^KrS>rg%Y{8xCNt>pLtmkFb~jq1z#*gLQhl3mB<`p zcm-wfoVvUoPqev>9Sw3S969C;*6RPaIT)lIi7{bh@7NU0QP^_GT*et zZI;`-V-{*%2fwCsU+xf!@>y*eG93%}W0#ccb87cbf35v+_TqyxxZ<3O15<~@jA+Ev z8zlQg#(;Gs^DjM`?~950cK z`67jSA^omwU%G2$Fp4^L+y-oC^F(AA95&#>fh$s@hPrKD|7?F;ifdEG{Uc?>0K^}l zM_>PZQ?07i7QpX;dVMA%#(1t-oucZ${@JNrHlRH;%B(ZILD%P6oOsME-&gskdPQ@r zQWZ{$l%aBwey3hea7O&zeC~I^j_aEpnZ%7MPkS_A2bFGFLXGFMhH7avHNS@)NWgK~ zuKai+UHi<0K?a#R02n#4Q-l^dY5HX3Xg3o1H}9KTb}l+QN;(2WT{PUp)CAyk7Tl4+nu`ASEg6vs z97T~Z`c8bOALjMBBj*;{O7_PU0DmKKUlIb%fwc3Iur z@lo!n#_p6G*9&u8#K(oZIy)nrP2Hzkoi}toEyY1d4qVGC;$S+`A(lvsQYX=>e{Vwl z&k^eSdVHC0>2b3?{?{MJIiAZ2Cpodzsc+36=qq!;XdR+@F>&;FTA0vvj05pE{@~ra z;pSyq0J~-b4l=kpB22exC2aY*9)9E5)Y9qvqs_Ri6BwoA2^dV4=h&Fx1KVeGl# z2N-afCA6^qHmhl02S6(jNfAPRDYC2pR#L8!=ph~`F-!5-T-YpDY0aBIc=7nE;zAp! zB~;nM-`Vol2L@My*$l5-F*#T^x^|n>Y8_=WdG%41?4-u^%7IynfLt<0CET6NS9oMe z%r9cAOj&yxX zNjI#wTMPxeuxRPwLxhVk_T5D&x*MS~Ri1W5+LJ;I>?vAv;jAEUUXV9$+W0Y`C}_!I z>uCE*`;7(gsh>xsy9oj^O}via_VNNiAZk=RFe{8D2J;eWcsKAXRdk|E-5K2N#KiRi zJr5;F-COh_10M%NPr(6ZEGC|n|CVeg(VNE~{MB*dkP$kZBcxsqm}*jU^dg7jDn@6a zIt!mzmLsa3y1qCLpC;CjDEUBBxrD{**^`GI@u3Mx#4Wgz*f+f$QbAG$$VG6@HLg;X_`+;f@S}?25I) zCqM3ukDC%rEup%s07iLQ*ggmkU8$9;YZZ>QBGE;CQ5LUGf6*U{dPEh&)TCY^duXey}nX&o976X<_b?L=3Ar-T!%ri?rFiH9|nKAR=`cku#SPIgzO@uw$|AJWF- z2p~H@iKCv*RL^)Zc1RGptFdw2)w}{Fovfw+RU5zbxuWdlE&chN17yNv*lgN|s4I%G zU#UO)BO-;rGizp;@j_46G?JPIAB=zJ7vi6{I&ii9w&3+_^HZmtQr!X0d+w|KlnG7b_q1iJ%5@OIOj$CKSG&NRi5e<~9 z9Zv01Q;G&w7zQAPoRLMj&fB9TG)f+o7y8bU$B-hsIz31C5D6_QkH|=VhuMUwSE~KOhxQ z;(US8frW}s&MJkWKueXMrw~Fqey2{X!SHSRp}qhPqsd>CsrF>2BhcWGXTs|YQU$eD zz`Uq7h=J@I{=xve2*UUqb+B|O;x;d#A?fVw&I=JOS$wp=)jjhro5SZr!S_ngBG}6p zBH$yoFYx?d=9^;t9M|0q2ZA^1g*sz@tow|rLFVTm0xrNJg7&^WkUI(n&22jMLiHNI zH%{uRj`YQ0uV_$JXC3oBokC;{@AHGYBk-9j-B8gT)oc<|GysAiV-NvDG&H*Ag{3wC z5$N(s0DV%I(yjv#MP80GIW(12XI5(4S(^fwD=&4qRj5D7RhvnigG&h^QQ&SM!}6%g zGXip^uZ$f!nKtb`Y;{_Iz<_IU7EsAuv6)qmMu_aiQ6NnSlK7Gzi}^POM?*aq^uY^r zLvVZXs-MwRsB(Ujy(^NZ8JV;+8LGmP`zH~p2Y}2jK%(IKXb;Bs{j90(Bqvj6j5Uq9 z+9+nGo+NSK6;$mra_^65!oH@lgxo<`Fv%MFLMBc$3BnXOfKCZJ@Fw2_Z~~L9*r-{p zW|A=SnfU_V?sQLuJJGz$wm{w6qpwJCRsbyM3^wv?-bn7OtBAuiMSop$yj^(X7smho z)w_33o*m;h3vM8MoYVT}&_=Vno^nLOnnzO}qTU~mAC@1`L`Tr9w@&2UCNi2{?KI8M z$<%~g4yjYS#@wG^w08)&w4cZn^ke!N1O_nUfC9Zc4k_CL2wU<-eh@Y-WQpO7WIu&q zqc1^-V*V0W)n$EK1kweL6}b3G3ypS6okaXKqz?X=;0bM+^$&v<9slp`CR)nouD$6d z58dQ{Mw@jX`OZ9D305=D6hQMU2Osst;m$MF3kHFMC&#s@khyPp4%}auQp8#lt?j$yy*6{t3sW~ z$^1R!?8daO%j~vQ{zrG#DhJ+O#UU3@+>c{ElsE_+&26E@aqqMZJZgOHiLMZOy7zrW zdnp}#?FVj*;|Cx0)hNl9Z2D!z83g~uA8M6iz~bBU#l-*%##L?&26qquQL{Ln`jQU8 zuBJnmVTNeCR#r);iMg%pa0o4G&hazt-sPRlbdK}~+SVbVsvl%M)D?i=gpjUP^rwl! zQ0N=ENEFE8kT0%P_4EF9Fd%tD8c0)QNqM*0=zz}t1?b~Sl=C~(@U4Tz*eBLY501O0nplh15hO z@?%L0#iMZ#F>e2A~#;H(>feN2#zZ{xh)~|mzHM9P#%12Z1ZeH31bLzKa z-_`q1&fg8~RAzzQV+Zx_*i-VVz^O!=NmUiO2?tK-pg>*x#3XnitfI+RkllHxk7V0D z>c>6pJ@pYjM7lk2&v^Zf$w8~l!y&xQ+rgKa_B|R2nts=Z16Zf^FoQGT^^`LXQSB*m zDVhwh5|6s|p`6d3*0M7`6vpeS$llyuWT#X#4>l?txW!IXgt;_*>FWVe8QLg&6$0LhR@1k z!%C|Dv#ryDtPWbXrNaH)&BvFzfy1)?f=nuY$!jc)$D_ofnT+5Pkh9`RW7gl|?S)eD zLuqM}5pry;5iBQzTYC$9>rQBSj}kk)&+#B4OkPO6x?1-=J8aFfqP*I}asiw8|DGi~a2b6tJUk-@oO@>t>yB;ObaJ!rrkNhcMC zg$5t+L%4z69%^u2>ONIwn^UhqKSQ^d=3dxZr2kqxl2+6~rE0AA6=^{qG`u(-XQ>Sa zqh_1bv%4Hl6ct>h$g1nh?92Yt!sUnYKhS){Eo)s)KI2ruwC+f!Lg%rsW3g{(qfK$; zEwEiz!OMHDN$bk26FjzR#%`>(;4n;cgWpB?jmnz+I^Ae_L2M~yxv?-n(SlDrzQW2$ z#RrN&YXJU>k=Ly0w;Zzr(fta~J`51X+=D_`%Sz!$=A{MCiq|wv%${fYzP+wNh`T?8 zli`w3y5$2n;V?`iQHuNxP+i=U`L@5765GpmEGdfKlOcYjoPcckV9owm)-G@ZYGV|c zE%1KN%*Rcp^}L-T7mf*}Y*=|oe=7{n4ragSI_M*R{GRF+GHsHuQqP8p)O1|F97vBJ znD;D=Sm6etwd$gHQHQ=_RXzjHV)Mb0pVo%zoFR0>aidi$oFwuW66DE~e>cyF|G5fd zu#ESmF3;?Hf>HNYbxG_y!}Z61P5W)#fMCHUk*CbT+007&jYiACNL1~GyOduN0nmh> zfj=a7CAqlgUR0a$YahRi=%m4r)aMK1627w>v}cHYU3{wCu3rEIhkO?`2`f{TfrhdSY*cCK%ldh^>K$R@tDQ2@*htFxr1lz z+4rLzLPFtc5QNJd?vTS5c%>S|4(}Z;K3XRBbmD-ex6E$O0GdNcD8CKPGWa@!e>Vf# zoGdd0xag4a4J>)Q*U#2EX|hf#qG@jT4B|c2oq?L{F?l$b-1O}b-HJ{L?Pc0X(mFDe zuh4>YBrcpNB(*c9j^RcNXE27JiY=i?@nsT7Vs}iOjEVIar8phSqHpD~6Iq-^7T2D# z@N=luzW#*Uh!<%9@W|X{4o7pCa%+8BTYIKg9M+X2_r~PzJb5VC9umbhc7EtBvv@-m zL4=!{91UrwT_ISk5>HcrGbNAC;4d?TV+KdO3H7>)WzmMgGWoP>IbV_Junm><<~neZ)gZjj~;YZIiT+qrDDGUVKSdLfba~ZM%msB4ao0@b8=c5a_&qKj|g`K6s zIKC{4+OWSF*;qJF-H(1?_=|eIk*zH{(&9`Gv)Z}Hmb@s9Spb6GPSsvj?yskUJ8dt2;$sg+!GYajlmMUqkDmZI3O}{C$7cG6k?3jFq>zA_~}7n%Xjc?U}( z>;Lj60MfEE<1bB#AgIAeoAU_zx&pkbk5u!z0@EwCzEcjy8hH0=a8vq8k!lQQ$=Cn( zS>ZN+UY)V*f#!bM>wGV(`#fYUJyJVMbBnf(lqFW6PH#!W? z(5}?$lDVkhD!Fa;D`f<@XZ!wm-J4ppRz5bUkv`GyU^vyj%n8ebYmTL#% z1eH-8$#6Nc8ZN|WV^Qc$nWA zzckk72gps~vwKn3-=o9t@a6)DY5+ux$R}A2rv`?{Mags+GI|Q>sx%2f22t0U=%}DA zTz&RS?dN_(e)bG*@?F7KFYKhx9;mwpXbC3QRo@+mbMWLIIyeD=ljgDkrMs?-Aj;5| zfsVMEyZ$8Dk1iuhk}dZwARo5uJkDH9>-teU)!sZH$O3QQ59;HL^}&<$o1Mht;&61N zW4m{10e5CLX7Z6Emz{Fg-HG1R*A(W!XFaczyR1`WZG^uqZ2?!%Hn_LEl3AhdCpR78 z@3XyCNpKLps1n*g1J1Ov_SW-_BP;IgGv2Bm@uLZ^L4fT~H9lC4x_@`V$%~7`?SyY{ zFYdtiw{8+zzUt%ENZ;%(!K}!5iZ^W)5VYZ6qZe18ceMK(>Oj7CWS$M^;_CtM?j2C! z-ChW1RibHsf4dVr2X{TtSn2DcgFDCIrx!mLVC!n&GI&`HJp*~^^L5AS@Ca@@g)dI( zmh@@>Eiq#dj}Rq8Fq)}SmF35)luKVP+Biwrfbu)+1TYc4D5WPkg zF90k+Ix1fH10c7qT>PkVS|_--A$!hk?VQ^s`u6;AJmc^G5owAAUmA8+QKkKH!@z6` z?_Cl_%3wfwrrp+oX;ftew9D2Q-IzU#xsaI%X7;8i&ms*>?m^0w&V1i|Fhlzr#7>g3 z3l}qGzRy0GzWvQ4*%w#yYh@l&xS#E>vlmK+l~~GOr)G(v^9?TS$+o*nm}0|)d&#Vz zK#1&_M3y65=cUBnvXn(qDI)&H%rkyL%u9K5lQNuH8KE`Q;zH+CerQ*1iC3j86LUFz zr6JfRsbn2h-5%knm%NZ$fd@jDX~()(HLe^oJg9NC-C4D1X9ffr^9L`xWi_}%Dwdki z(9*F$hXccgF+(vA`CKwW2A}K3tS|YegwGPP{FrL3BQDDv;{oB(T)1mhSA;Et0r>?i zFRPwe6|hPyg@oTQ9XBmiXnv|W>>9P@qMSt+dDgiAZx!5OK{mNu1ktjjMN;XM;2U@c zA)*4$yuz@73V8m!ln{*IU|R-=V!djPy)0y&QU-+DqG)+kWGK_10Mn96UdWGd30l*d zM-1X>I9Bs$mQZ>s`GySIPDt5Pyi&K)P4fjn`aZz%m^SMASpJkw=4kYdpx>YCYKPc@ zn^_74Yj{E5fnBLu4nnjV?p0zI7{uS05|urz4u9SNW}-d-8@-~<@Doj#r({u)|Bb1k zH%^E%(Jy^eusdHBbX;*$+Y8;4IIW! z20We@5?OFGA``x<%dCCeP4kq}274L{+-A_ikWQMPK5imyFBJ&N^JOC<|4uLIl;g3p zX%G|Nk_vF|(D7^utA~GA^@%YU)5$0g>j6CFTyN_C|Lv=H?@qJ;t#n%o#sg?;8Cm;)pwNq@@y6B)M_D zR-E#k2|M*_p6U*6tZ*0GSlAO_Cm;e1n8mQ6FAA?EG^-k+U1x5wi@BvUs(-QC&1hQG z@O~?5!(SChvzw1%RsauI+Eej#Po<%EjbNa4A>(LQSE?uNMPIbBll_6Fu$7gTmSTjX zbZRYC4W0mnMaq((7;PIwr5Mqq;H$FkX?OvIh&Lj#tx8N}4qa-j!3AWny$poW>hA4| z9bXQns?$vw#)GUL#@;b^q!3{OKufIqA5o9NeM19=8~-tl_uz$$ukaeCuk;jsrgpi$ z;X~jhT*h*fZBwWL!}mPNI55JQU5ua6tP<9t<@kUHah~GHa-R~123_bHhPJSO1=(=1 z6+Z=$z{xs+DUvX2@}*SvAm}+p#cQv z9S2p{Ehxh+-v^5sC5a--Hu$aiKnl_ZG-h0J+wq@JYdS-mCypR2`(js6rK!#|MBit2~Zsy-@_y1w#h--meS71*gzZxx@oRBQ0e$@PPpveAsB%# zF2KIoW2POB=KEvufrddf)$5JhpWX`d#;ZlZF@{g z_$D&&8}(WRt}lb1U553(Eg624Z>9CWPVkfj7Snj9H0K$AH~aM33>>85)8_drX`6{8$Y;9wGvaua^eh++mdekz9Sus+`^b4y1g#=Jkl zpHloGXf=ogMLLq|tnY!zL;8gJqReG}COv}`p)H+tFY2VS-%*gNUf@fPqnT8ug$xHW z+|Q6vl(-Jriepo3LA~66kpRvCdU(O*_Jq;zi^Xinq$Nw>Tt1UlA`gg(7W20euBNI3 zMz5o7^1P!Bw7{z`?qCpxT)6(&GK@O&*&#-0b0G|c(L_N71sQ5q!e`Z;R?xnS|VH= z0_}CXo8@Q;VkkR3RHxhOUM-)4| z?oyWLYQs`eb;^Z@nmX;&L5ypKP}FRzrTMfs)wW@$|DoSV*0w+NHMm4*&K_9IVk97f zMl1&U#%W%SCZ)i@-Mz;s}#t>8i zlH8Ae@X>XiaCZWFbp!XQHJlp&X>LNe-OEAy{%tag(wnx}tBPbb~&blLt?ZB*%Ga@Ks7R#1J$syii)5GJLWn zWk6b_L7HG);zH(Jy#6i3b+%W;XfCP}J-NCn09_u?JV9kpZR*zI%_A!$>Z5Om8pTh( z`yPfZOLkGoHg6C9opI^(INfu~cwB543 zA077zwu==@W48sWbD|_$GO*Gbab^gN9NTUq7uoP93xFC16M$3gUkdhAdMjHPQ8wS? zsZWbMG`fcOWOE0zzsj!jkqB+tEWq##czr}>2Y3g-URxhue_QQvO?flUKItmg22uQ$ zZ~O}bTQ;5bpesN18Vl|{&K|G`C&prNOQx}!~3Gzt4+}XZiJSAd~4vEI5g`q0dLlh4S}uP@vRB1IM;k1;teLpDMB-o7VCQ-?41KfB2Yt@ z5@e5_%BNYJ$a@bQ)|&cCpP=;k1II|1H9`~@5_<4IG#Gg+d?MwFON8GP9JRpIPL%-t zbAD5Mn%jq>%)nkBP&U8~(x9`QZ*yZJFhurM%2V#PZgC?`mqDlLrv)B{m*BYUT zeUcEANb^=AyR}0W6~Px63JB#^dp#a;#d9hZJhDqgr7`I=W1zN21t-rypc$=Nc9mSe zENvPlxu{FP?w3EB97L;3mHfya-WzBV`rC}m8#vO^;FG$8bTSnB-2RT078#0*0@lue z)cSiW)3X$PUDux|H4$jvsZfqJ10X<}-!C+UGcWF)%1rM%a1q9B%%z%XD&LJTowWMa zg+SBT<@JtH3-1?$%UNiLW+%5)AbhbdjH)v>nL-N?IS97+cGcd%w$*Kx zf9en3y;Ip4j*PTNS>vw=si+w;6@~;bG^tz5a@dpP<_@>K1)zE8K+xCIjP*;SHNk6a zQDap1gh))<6bQ)A`T z860YGcMt|fD=NB@m{3pFnIfq z3G?q^ZvnsJ$D5ghNaYQ)a~%;OIsM))|Cp5$J(!;jVmM30Bi`-HmbUAr=$I>PmUjN} zghl8N1sx$IixL}85D8w_|`fz3@W8u8>oc^ob{;GCqiQq4oM`rsfH1_}EQ8h_*K zckdWxZ+NZb=o{Oda3qE0GulR47n z6_O0mlp(R;ib@%D0LYFs$=Ba1393M-8l`mbkG)KeXa+nX9vCTM)dH?O6+lJBvuqKZ zKVE+WrHqO|5XQ^vPaE*;aA8xssYJ@<*cN_@HmTW!EO4d!Qfrm zx^`mXJq;%?>>!dtOP2$-hd7BT+!3D$O;IWt$8UY`uNPo~j z?nsFw8y+h zG^Xk6cx5F zpFBP_7bVM$Z{&_X8Ze3v|A_M{KCPx?XrK3R;su~=Nd+j#%B-E zQ}c+PpnruI4=1H@YT!bk%v}#y9W}g6(YPh@_~u&fM>_TV&Z$1^5wuN}s`4J^;SmuskeNM-mj^-nye{_1mye&^lwfy;=*z$$atVko~2B_|NdbFI@hn4^c!Dm6$2xcyCi1%9_~HbU4&Jm z%(?(_s8N>+P$GPjV5uE$$vU!1wi-;uVy0hnxFfL6XOKLf>g-szhx&X4<#q)WK^mOI zvhltW`TVZt1~mHsEl&1yTV2g7X_EYFO~17VWC$q(m;hr=3@{DLjp5V<5(N@WQ}u#$ zr1s$n2J68MEe4EtL((y?O!;!f`&f5e3lA*(-zAw&5L*cA_%=UToD&fz-dU6K0n^p2^aGbza<&}EOiHaiw_r9(_ERh7QTmtK68OgR-ec`FehkI+9LOs z*JS3Ml(PNLld37H$>`ZvG8~IzOU5N0Bq@g*uZ8<`{D^QwRA|UqX&9cgX8caNh~ROC zV3lD%Wfm>+R9T$(Sy7zeRBpxb_iSk?;} zwaPpq!l~M|*7VtpWNiU_uIzI$^#%TVQ{MEEeqmccY?1bUn@I@VfFFDw1 zAZ1`UF?=d=IkU`%#|^*WlZY1Q1R(2^Vvlu)$=9^1Xnu~wO@rR05g#$> zhEL|A_%h((^ZkIO+_wCfcZtrWL1xlVKd-d#HA{%moEuni+;nT5BYv^depBnYX-a}Kkw<*2@jw%0|JufES6(;#Ze z)+Ctcx?sdD(FY9<8OyHsq)42RsZ)q4B2mV)VDf_{I|(pK)4IG{5490LJe>p(p5E{V zcEYx*N@ZaS!`nBWkltvIpkL?&XiSXA8+NCb_FcfbayhidELQ1`oL!D54s*s+NwOmI zecCrPrXB6mq;AnSAJ|!-0o2-{fEoYjtKZW_=XgA<>i3QlE$%2? z-v*=QT+ZU6l=C2@es-~%Xfe3UbpktDfKk?dfX2w3MZcWyI&GA4g)07pGgADFy%)!3i8Mx|kT{UcAxG-VA zMF4Qoa@}&q*uwKxTc4;xf<${3m33a8W2r58g!=j!tT{XL*QVr-_`+uk5+uac(lS&< zs{Z=fr)Rf4PRSRD4MD6uiLIEby30Wxh1 zuF7M1n63!P5xj?ykR23c9Hn?s87O_NEqDjD8$IH-Mgb{x#H?UY9n$`L+MAuaQsbvS za>mY`QL!>{d|8l!QX$a5vAQeoPYBdTBo}AK1yo?kUSna>nnkNSc`cCbQ?iat? z_PmpjjA?)7tD%y^*DRH19sg#G+mC~1?8v{fi$t8N4iDwJMK-OQxTj0)oaUFT@{iieBp4>_$)GZEyfNcfcDOZzQ+z-qEdjs+050UUPc zV_>AQw{O;{9qo*8W5Geork~KeI&tJgmN2JA29W**36ohW`Rc5wtqbjiu3(0}U4`V{ z#{!JnvD(D-;fpC!_}jhsl=tlrnKRYMcU?hvM~xC)qr|EYrGl2PJs->jNs{pG8u@oW z2Efz07HpA^<$DOn=JI1Bwg-exhY`eu>76uFL9TnVaDaNb^>{^N+g#6q<5GnUojHWkaN$B!__=@>{+I&wwDLzkZ-C26tVIi*K^2+tp^*o`HL+aHUdL2RhCS z&+-N;V6vv_7t)W?LqS43yz|Ka`H%65XOwoz>2Nm>fWkSy{$%);Z#|Q;1ppj?@t%wS z?%%h9i1It3mXp}`RJ>TWR^e8?dk69cfwL?(;J> z-Uux$c^tNTJUiEI-%x%(;7WnA5sz{=LJq1>%;s|{%=bThFd~aKkX=>e?aKiSQQ1ZP z<-gY+l;z=d3iUzzyy$K}m4%7e!{mbzTL}OT%(N_?VZMR)gLEp9;0N^U{c*e3LkS*H zSu`CpPAKiMQHkKK;a|;2cKSn@nq!e>4g`x6gU)o27|5{U|NO`FCOGy{`T7&8r4IFp zbXH6Ol0;U7Rwtn`0a?Lw{cxNDo)?BUU35DuNeXQW2wPV?&FC}BgDK+b>EyxCyseYO z^5y29G}Mam4q>7=KK#x13Qo)40(gQ{4Y;-N|M?HNiY_Iw;ZXe0=O*c`8-(Ec2=y96 ze$)$G0Wbr6PdZ+zmE7y9)k*;#MQB|SF^thj4@cf}D>{yz|o$iMB=H=b#5Fx5|(T!3WEy<_4-%47{X>7d)P)EQ(4KCo^1nuqX-z5p| z)bISqZNJ}}Rb&d15<`=u#4OQH1Zbt3_28Z2^ZJII&=Qxd3diUZ{CH z^SQ{$sKM*~P%->*D`z!^l-~_B7L8)A-ag&q8_FN+c?w~quH6wvYhzQRnXfra3ApNMo!eEgSxx!t)kn100p%EYEG4 zr3R3WMCJ(h9`+tb&s-8`-<@&ulSX`-;Vz;l+@SzwF0EPIE(9}S{=MmYJ55NCOVfmd zvo|m<8W9!;fnEt*$vX>ubbJo(xz1Pxv#~DCC4U$EA;t_XC@T}|sjP3-8tk!ed@hHh{ zGoMu>j(ttt?TsrL@$AxKzUOPS4;C2NJ9evO<}$ecLuCUGS)bB5-{J;MGqjJNaEQQ> zv>~WM2*KjlxO36$_`VQM_ssO(SzA?k_vTJxnj@wvO`i0rD*p)e<%am zBGf*xx942OCKtu^Lem;p0IjYk*>}Yb&);%$scRVybRa_?E${+Q@ay3>uw`49BJ}&b zp6!ag`Sp$ZG0pnzw#e6Y7+HU`h#@j%(|6_DJ?jqz;%Z4c6u+qKSacnOO$yC%CGRf- zy>UDg@@1*@RH*8XbZCCQ?)Eeu)LTbg0q_603NWKzffEefpqD=)CRNkam-*D11Sf;w z69~j}T>g}=f3hCh0TbPk)RFPWKj+P}-WRp$4pfO5*ztgIwScw@S1*&R#2Vl3$^XX0 zO=;E?Il}n_<<5NyzmY=x@tITzwT@}pmt~!%7k4TRA<~GvFgwbj7FI2%X9f*~^7a1yXGo zOZXF+e9Mai11)*n|2jF;PtO1+6x@W)1&-5MFC?>GSmX<>AV>`AbEPx!Bi|=$=UTCC z)Td%!jNsq%j_&efe^BEPyNPX_sO7C1!VK?qwJv9waO`h43=A@a8TWN8^Q~shCkM6A ziwsg=5Hm}2tm!_{xOrw$x2d6YGH5O0+o5O7_se>I_*4_-QX`9|>s_JJaSLJdzFbx< z@!k-^jrs67?So+pPInaXVEV7e)AtO$`Zx8p{r28e!x!r*8rjZ}FWm!6rkED`XH+({ zXddbOydm5z_;#znjh3AZIYr6)#QgSPuo@SI2|nXrh^1MVV(`v}3&R;15-SOi9xs^% z{qNK3)uWD|1l?}Xy6b0UP2KMscrDuW_XlfUPC{Fp@ejWKIcWHp6a3=qSlWlbC~5fM zW41*0T_3v3#3P7v(J<@YsbEEK0B{~l0ek_&L*@I1M6V&7SIWaO?F~@$hD=kfQY;Gb z#0QH#ELLFG;T>NsPA5>;@i*9g=r7WWHlowH?o6_;dCAPnwW=PYL(dY9pzLfg9f~6Y zT^MHEpUDP+PhMTkJ%~lFjRD`eyc$d?M{!}BOAkTCNi&G=DB;ua7`SX|Yq#ZaqooMc#I@09Rj_lFed{M^@qs`AfB6g}&KVESU7F+gHL`q&51ELLJ zvP?vir9(i*EKLw|pp1TO8(ke}Wx-JzSIPEMNY-!=8WL6j3b2X+t+kJe*{BmxF8Iot zQuEcfZy;VCUPYpQAT=#r1Zb?m#My3%%qJ`G%skkW<$ z6|l?YJt?ntJcpY6OkKgwNinWwNxThDAVc#K;(4{+DCR;R>3_^v~ZHHveM zAh(X{T`ki^7LR}jw;4kdk-SjJ>a8l^wMd36k=T&~na5>&C~n*5p+D>=m(%iP=dpkk zL_eg9;jqwYe6eKwhkrz-LXCGYG9e0f&XzwI616MfF+l?_cJJnDT^iWs6@I+|d%<%b z6g|Fc)X~uG2P2`*VPwqrI21s-{al00T%ArpJ;P%;nK6~Rs%8$N5f3Dl4q1P$fxtFP z;6Rvd-2x+{Nh()~pf2ph%vxz?{U$emDSO=>r^Es=BbW(|5`&*309@YTxt;VIX46tf zan7UBgEg)8JtWd*@uD`^7BW0^gnI)NE z3SbXKnbFwQS%dM}gAqr;#kT%-gJ8x{d@}C`hA@fY(ded zot6ip9d^*gwDSd1$APpgFLRgk~J8(X%YbOsX zsY#=7?bO8O8q9=}k>KFTG63KN8@*bb`(ZUZmaA-%=1g@=c-i9U0kc_6r@zTWQsV?& z^!~j`KXWmfNp(?4KKgJ+U%b4O*sH-ry@1{ewo66MI;K@U^aBlKrsqRQ9am%jkV75@}wTNLG;+EMM5IRSIz28(b zVy8WJ(j8)vrK@sqIcU~jQwX-NgFlr$6X?<|K&^8@KwgrCbpg%gCwhPCFhu)DGigq2 z{2vp>5+DCNL`8sR9?(;yti0qBlx;ZB1S`Zi!}hh9Hoa)T%fQDwIMFp~fk$5_K*sf{ z)j;Ym6nz!|&Dk~rE8ksD9h40EuV;j`;8h{fsJP>^Vk5Hp18664F@uvWGGZo!;0Qnq zemB06SU-?$+VI~HLh`|O-wuR%x(Vm?Qn9cbdq@=OXKm?qXgdzHWis8mPIMVsn zk@|vP06F~L#iM=!cfcIwAS-G@6IYCIDF&H=|4OrP-&de1;E%XuL^O40&g+Q4ggZ5- z1CXrjQ(o{l(30qzQ_a0Hd;(&=m%Q01vLGt%JSxbbnZ?-uia&9X&b9KiXLOt4qd5pG zDem$=#|w;q__YqOPHWQaN+4x-$VuyrY?nknMid}?YGxm$b#=@)&|dHnZ~pXA$GU;w zsPi`lO+@-~Um%8a;jgm#i;Qy+NN9A1tAOeoY16*|)%@n`&&u4Yn{U>C&)J_P7c)v! zyW1iMFRr(W+cmHM`LVdo2mjs^0{?-qd^hJwl}BJ@x3eV^_e{zJ~_5Cxsvzq zzoW?xKU)lOC$@A~pV(1de$pl)zqo+_?M@XTiZXJk4{j29@Y0xXcL`nKD%XFksp&4>n|)E&NY&7?FxWmQytxy zLtR2QaY8yxh8$!4PGl}J)czjWoH?_&TufhRvaQ$+V?eJhj0Vo9FB;PNBDbPAcfSXf zT$?Xc+R5Wt<)(E5zEE!wJqR{T-sifrFrpY^;qw~ji;A{Y|pK%3du-{4E*5f zry4`pq1B@|q9{yaIq~MU!-Jt_4rw~6V;|a=JIm<5(IX`^L7pB_5ZHWbE`0#*j~91| zZ(E@g1`bZur7iJh+h}rlG5|qrM?MbUDQEOxRt?kGw)_Yq_rLz(UzyLlpG;~p+}`2Y zLCX~b>Ih4@_Ohm2r1as<3^0ex-3x-}F#s2i+@1L>@WP|@8}=$(Rlr|W;G*E`2KF}XMs0^lqDyy- zz?n)9t-67x!oK#J3D>>bY|jJbT*G90%#`=@mAFXB5nl+3A^4Vt3_rEvWh?#k_3ony| zZ_Q1pVu7y4Y%g>pYg4zf10~!CRF!2d-n;AeWA)7{c{5)yP8n%j)j{mpp)=x;J(N+4 z(D;|W8mXvo9X>*B^EsA&o!tRu7l0t&nR__dn(!Bb+MlZq*FYWP&wh0MCl`?w zq&;s8OtR+M7UrfP6{34VQ0U~}+O-JY=q(9nmAtfP=)9hF#ar@>wfQ@; zjhFTtMfp4zaEv;iZ|xLrz~FrixNyWWm#_d%c|$^)zNA6_5eVYZN8bS+^h7B4;$klFDig zl+>z@K~E?T{M^FSatO)Ln#R+_Ti8f$khk#G2;dQoGm#LP5 z#>~{eZEHk~g89sT>jGhb7qRV7{EoKw%-URgBMm9DT zC0r9mx*d5lliRV!g6`Vfd`^@77Lj%a-rq4_G~^o)xxinoZxU>6Vv+&n&F%EDdf?Ln zS`YnX5Sh^~4XrTr?1iQ744F0{fdmkOsS%AXu&mig4C9bmH8a)6+P!f{;){tN#V{@x zw)!W!kgRPt28Hw7On2^&ZzWgeqdq!ALbvm`yuBOTwj0H<4`2h?z9S!aQ3%7sSY)M9iGekk9v472a zQv$eQd^2$+Wo%XIyit3Q!XTm+v{DO+wxmm}vOd(ux+~6a6g?!=yyaHg6c_L{D07?6 zUQyZ}cqS!nPJM1kM3c=-vkWDD0y`QW@lHJ=^AP0Q6hIVzLjc@!jDPS>Yr;#HshrQv z7BoVnA!qo*gqs!+d{%r779YCqQ)IK+yLh0%GZrZDz)|iA%cgv0(`OE_leJ3f!;^;2 zQ9RiNqy?Zq`M%go=tEl5p#`1bDxW#vEyso@au#~@jWGY9Q}+YpJe-$LZa`dQ2EX9v?wX#pWtn+)-v2%8Gq|5jZHs$uW0*b3kH`# zX<2{~$fc;kGy%ib?TNQsuYg`KXKdO-8-lme4zO$RmSZR>CfWF&Pf-5bm}w=^BvPn? zVUA<hFsWR?)x#r9Hj=orYF4%k=Na(ig``K)cnhX2AR#QLPxJq%*=D?e(XH zFxR+wp&((Kym*FM4V($QbaNvwvVZ9*9US)+rdGJnL2GyEaj@M z{ekrLwm%dW2-u+Z8~-Y)l1Hh9_&3j}QwDD~n%{JQ&3Qqw-_eKk*|zK%|8julk72LV zIqJtD(4U;A$T2hu7ZzN=CW0T)e>{BY8{_kQ^n@)1{L;Q1B=lwM8R_+eM{@fqiiDOp z3?uMOx<>kvr~45Ciq~?$qQf8wxZK1TXla5c-{Vsd*gvrau3%%t(+34ZNI7{;c~l45 zGb+AFrEN3hY_`wNkWY4KXo&yNeToxofpO&d?B$sR2z#Mfc(q~|<&n-2BO;ze82U;A zYZ89&R$vEV?1C9IFoqX;Y5@wN76dT^M?A%@F;L|APc9$L9+2;7nLUx7BRh8xKScr8 z#0i;Ydn{lxErfXQ;>Fb4L(Q(};jyzkkE!F%%gq>8-&w^>h#ZWjF{XtG{|)B6uzKSA+}=LY0gPod8}?j_(9urZzf`j-X-7!y#O>5TB3<}Oz&Y*HYHXbjQ8iMyyL@H4P)QlsYL z+|k1aw@^UZD1N3y4{(|AFWayVU9|g^K=%s;`Wm2fXC6suf>-xi-rQw`Ir*WhNv%!(g@y|lP& zAw&7J&jH!07>dKdYYXK`tV3Q1uD(G3tg=DZVCXemThNYC=eC(>}DbTb}Vj112tZ7TrY~g@!I}palJ0$C<;r6&wM%8rtW( z-Qa)1sYg<-bpx=)0@OrfI_;W*eSw$FKlM%4=f+om?cF;;{@Y=2E2uZZaWz8k3X_EZ zeh*yR@|y5re$K+qz#B{3w*w8g!6c4m{cT37Ak~xa$XnX~NjHvRcltOWM!fI|CfteW zM8mMt#+G1*9#9hnC9j859mkPciATC1jkg!z;C!0c#s)xbKz@@70I5-eLk$EiaJDC* zAZ;#H0|(j60$&jq?t`Nc_XQDeodz5Z5#rDB3-$JcB_B}z9qz+lXLJzK z!EE`YI)s)N#?-GGh;d3RA6QZJlu#=pc#YFY;G`WXr>DfzhoswsNy-X+YAl`XPd-(> zxnQPfVsqR}P&Kx7d7v}Qreo4dA~OA5B(0k^*M6;Srf3WBTttOiq&!66`Zl&@AyDc} zB*4lJlt4-nMToiZ4Gp)z6LJ1KozXO)Vd#adJ5diQusI@pP_u~glS834w9M!v4HAda z`@kQ?fbIJc1>M5$!d?-OdIH5Fz!6WjE3l$FoEGgq-}2)X?pH$^%+QWQoZSYK#0mf^ z-0;bmqxvM6t>GtWLr($tzTn|Z zQjWRcAPj`^G(HITBN3jB6%*5cs73>0AK%GlvJ7AdF`R$kc%krP0#OEh_GGRg#zB6N zDn+y3@vu5+MQQkpg{YeSbuv(dI{^m322~jKgV2>*Rlms*6%~f4y^FO;^T(j$S9NL+ zBEV~PWt%|%^a79968i>tw2Ehtm@j$0Cz(kQC)A&Q7;z|&r0B%Meio2!g^9x(LQF>s zugZ}^UC;h7wt>!U`AOi>xe`&e|IM#|FZe5PkH3e&q8}C*$^!PX0=^6a|M}tYnIrK8 z%wma7kwlILXU9|Jaf9LEw9^Z|PG+2eeoX5T7%#Y}!BQ^G6HT{{gAqmiicOab&@UoX z-L1T;QsP;Jqmp_FxKV`r4^J+faDYeAi54Anx4}2? zE#~TynM%U#R@F<)q;>Q4s{VJY^`I2(Jr=o)Kf}-3fI}7xQ9Xj|>uW01M%3XDG7Ci5 z{E933Hpla{_XDj-Rkg#JtUr@f?Fri}f53i=lIX-Cxb5BqXFE0|qBuy%Y_PuP6OWDroTZ5uMA#y1A6NXe>%_E|;i8(>1|I5byh!0Z_32pSytEG{ z5!s2c?FOOm;&8F!2wSK}i!t&8N21$?H?_!t&z?(JX@92!gO;HUSpjT656410{$enY zh+Y%8dZr~A(|;**i2ua6KMa#3p$$HWsVXr%0;%d`a!ROpO{yPtK%D`Q*L7`fuTNDa z0~DUwN$hasVnpYiKm0Th46`XcAdEiu|y^P9ELJP%2FvsFJ^kC#gLF{-o?C=WI z>wSt4mp$NwosiN~JL4D^0n}+WBKSNvvPq)+FxY8qhsP4K5IvhJL^&MacX9VgItFy0 zhz0*>;PxrRHw>x4tDAvSgKAQ8z6l0)MN%DeH^ z$s2OrK7Pnc74<#~ zGO*BHs?og`UZpP0C?lFJ*|C1p1K04TIArq3=Eo)Slqq_%s7{<-@xBm6t~-Af(+_Y# z^oFyh6o-58$YU4Q>HTQkhZ}aU7+p}wlK0tnb<7bzD(YhTuFMLWmxzX$l@vUhPVfs7 zUPw2HBIDgJ-o1mP$DFBif)wY!=7gRG>2{F?rpi+ecXGarH(zRI0fgIn!R(E7X>Q;n z#utMK<0{PeCKyFOXyVKZcrCv`ly^^*$1k{FD$4))qGnF~Zt(NP$;Go9enxkR>xj-; z04N{ql=XItplrs<;4^%@f+aB(#02vS#VawiNg!*Y%O^vi*j4qSG4B1m^YYmRiyFb@ zpBlVGk%;sqClUU<70E)xcc$D;$wh^@tH!z}4Oz_vcAF9oQ0jh-*5c-a!y8&4RibSd zueO5>EL0zNM!E5SzWeOpuf-FY`F@WpC&~4}BHcE2$?~Mxn$R{q+{OA59D#rU_U`gI zr~zSNI%LV`CrWtn4;QgRcvrY`Msp-Ai#|UVKLTgBg@HF{YeZ(r!Jw7(QKgiortBwZ zfjUfP*B4n0TunMrPvhb-XeT^!Y@yBt5nI4REOVb!UDjaEsY^BG4LR>AZ&kw?yE-c< zqcre>yQu-0$$U>n$FAt|LS%5kK%-z~3{Guum!@W71OXMMXe z@mErKo*@o*HBAKx5ZnE1m_!06=V_ETWcSv;%O2s$deIVOr^6J>3a;B07X-iC`t}^% zZNR2s$>$=?s~7d9{UxkYpEoHbsV+zWxXZIbYtFcd!Qt4t>p1Zru~b zD8G%`Y#vW`P!3gDgNeLTK%bokz!%{n1mb7{7B9tmw|Z;83naVFg#0}N3%<2hXl3w=_L%K6~w#etgotX>4i&Ybe;0}VUiu#The=%%3W zrvCAYdna@DZMx6PHdp2z{;xQW0B_2!7zK5wh9-S)?$w2AuS4~zAng)>AoH??twTol ztf1m#rhQYIm-?79G6j_?Z$XU3yerD1$d%ICdi(lYDy%PQdJA~Ld-edJBIP=YJtl|W zBlr|i4PSpV__*V$LT$iw#ZYom+(4F);&}~#q(f<>`r)prgtz{C>_b$}WUl*c0Std7 z7H_)@jU$h{W8L?3y#I`nN=A$utEN9TCW{)gWwc#Gz}&QXCm9f#p)QIn zl%;FhFi#(KsXFF4P=xAzJyyn;+19f{UEA7I!m<}wr@KW?6X@|wedcY2&V(F>QN~bh zy6_%A;ru$J{q)kZ-;lKhSfxz+qRBUlIOthKJpE;IREDupZNA~h-0P{-sEYa}7f$9N zjAakXW1iuSOyEYzlAscSk0y^=whjp=VTZgEajC*ESCzEeq&}dzeHE^3Q?J!odM75M zbkkhZ+=;CFmhSIp8oiI>dN7a) zws|;0it|892HhY9k<;ix>PEEp~xCgWv8>-ub!g%0hTvaW&TQ#T%Ma4{xgXfwX&9jAXRc=?KI9ySpJH!FX zahF-8#G7s``QYwf{~jC-<>Ym|dCur=UF%jICRfQtE#tR}A{}T`A6jTp-hm1;5Ks%YT?1;Lbn^25V6vf9_*l2HT)doCHE zC;@%t1O_N-=zOSNikz>x;nCRVt%83R*TR8Uqm+}NqL~6c^MJR5ryEp;-ApMJF#A}i zty@ccMVVI$Z*z$ArGnek)JS(}0XhWIq|6zPj_w;LMA+N+rXS&T0#h09_(PQAT2@Vts$W$|NtXVn*2G_pN!k7gV{(NG+Cn6?OXIbwh7$oiz? z9CSl%i(U|CkS!*_p0g!S4rL>ye3eaqcHB}DC;_uPiT#vVXrazCqFXn4S?r3sXES2g zC`PfR`c|1ZQ%O~Jq?ebkznRw}aUk)TjxLs{vc80)1mAs;N=;^5nWtsmq^7Q*Hu7c? z+^2{nv_I%NiTbUWi-6Q{DfxS?mV?s^X9n3pWPZ$qc<94tYO_=$?cf>L)Qnxb%hP(E z)<@d?^+gv*>z>-pae9i{V@UFBGMnMOhX+o6>zP#cDt22R7xNMlTGAuy zG6Tfz&E#@yAJchr&KJ|9$}h-;0s68LcI;55-Oms=uU+&M&;WLNosh8!4&IwJ`_>%z z=V@ch8ur(Ohf~+|VAP{kb7}=$8;w&(mT>sU?rb=fBHT$Kr2(^KtibKh<;RbY%tg)mGt@> zKG>U#Hyt?e&C3UzwiC zlgtt5YR1_Fvm;n5@(a95hs6IEd+*XK%aWxD-J6+J4Gt3|5NZUHBUk0!TQ@VVzaLks zVe=D^5JH7Vghzz$@Cc9eN9+@OL<*{p1f~VZ!eh2_c4K1*cfYNA{?{!oXy+n`4*0r zn|haS8Y?jx5-^u_yQdrcKHcVBjoiMGu5DEEn6lcnFvfO*B5+-qQ43<@U;PspwF>S) z>3`S@*h70em*^IjrvLcH)c3q7W_?KIstdaRTtMF(@@n{_|M~T||LcGBk<7eH>ie>y zdzZQr+EnJH-3q;5PBZ^lKAS3?v2QDC{KFFSdwTuVNgye~C@8K;X=+p{0se@D*kG=1 zW?A)}jhs53FT@z$8oPE0-3P^YvlKR0WpWbCy9sNw@q|WZ`8#ql;#wj%d!Kx|Thm`H zyW2PkTGyxz2V%;aeTd{VivmKBv$_VzSKj-1o#rWX@jCcU78^elXXAv8pPZ7Ho9PI? zVbOP)Ko(l*%U)97NgmU;3FjvbqSpn0PtgN{>=TI>i(BbbV#7hcZi0LTw{^8}G zOkS-)rcFd>da=^6M-Px@D2%?H z3Bez-b4l;umE5HLQelzxkUg1N7{fp`D`8|M-tA~$yRM6^SyL5Q_`b?u2iJSKhP;|D zyn=)KLGDIU@K0)|kZp$`%oRNE?rNOPq^!!W}Al&mFY?7HI5>5Ah`8)2v5k|51B z{+ys70l+Zt>q3}MagQ(Th!-8{di*=+!U|nnVvM6(;KGg|tvmF* z>%oNsMLpvQRn0&AvNzDWS9ZQ4(3!w|=0&7_s^?>xwaNK}EaX1VP*_(R6t@BuSfKol zW975ly*x2ikU;7rwIgIhaUtUerl|7WON3}UjHM zS8B&G$~&pC7%K3!8Ci`NV0$@JmlTCesC!@{11SPs}VH z^61suZmoufJza9~_cH|2rHE^ z>AqvNu@pR3+YR46`7rD@R+VGMA^JgO7^?3CB#x)0Kjb3U{&pS;#`!Kp7ge~nh*7}Rl&75Q>`5oa%G`&(EQ%coH?Ri}b#b(B30&2*7y8r zkpDMdYVwjX#Mg;;yGLV8G5hS0Ff~cBAq4dqCHICz;0X9?{ufg<6_0b2jfIVJ*j`C49~y} zrc0rOSs$|%j<`c|2`-Vq4__p^IMO!Quv^|BDA+{u@o1Js6;ahEc4$>8K1jiRIGi$= zu-S(bN0mk(5m;y~sVoXvuWL9@(;wunGhMaowC2+$+e=6nm2#BcGoVK5eM;Pl^*E&~ z_OC4=TdMwl@h94svp?9XKr11()X4f>tSuu)Y901MpcWb^5A2fo(emlb7P`G7q)IDb zQGAD~h~F$2@JO0Wl6n?jrD<_RBDu&j-p)QqG?4pf1@ecR$uNzgJ1j*e=@`!#Fm?6@mP;Y#T zCW4u6s!Hv5sbiH|O$>pBRs9!qDT6L$qEb34J_zfqR4G{lZ<3N;6dz7y*T5z#R1CJK z<@(dqj!x|aGF?uk>}?MM9EsGyG_|W!t1&;nepHCjB3#BMoTm3BO0dZL{vI_l?2?Cl z@?c1=093an!Ej`3IF`{gc{n6j9sVp}AA0beE<@C3(EY8dGK`MX)n1avw~~9-0lOxR z@dp{LE^*Q))+3}M<3`PlbkfKkoPtLq+L`ouTP+!Q($^xHCU&PC z?#x@+XL0&0-jGG9v#t0FNeQTYXit-mhSbxlm>i#KIb(u_&NMxJC4~f3P2LbEAUboA z6x7!_+-Z)m&mkhGqw03)2h|cO-J%+3D+Yr@dn{l2E>$`DMT)&d<*?Q9zf)a$NvqWT zB6Sm$IvVS)NOxxFP11U{N~>11(nM}uk`AZs1<&f9v3vcFuf67mFJ8qg4Guka zVCnGkb#5NAEhAX8h07$KhZ7TH?v1AsGnP+}uis6jco7Z|a$}Gab%2l9^UC1BYKKHq zJ*7+Rd@$FVa+<>TaTFDnT^JZ!@mg7D=`0OSYPO>uNYzyoVc@g1&{boRs8l%PguHXW z>^iQAG?dFVQZ|(pgh=J{Wm2(C(nTd@1QKtoCn=q8VJdr`52M*A+WqUtKYlb%*&jbL zwtgs8UWS<}HWa(YbGBTLI}!X}%jJ zu#Q4`t>=Y9S})6XT%!A}9W3}L_^RmA@4Siv2 zSTniCQ&4=2OG+zP`mcZ8r-QgrIwv&pvdRg)o9|!}bY=Qhx>^zUp&|2E!BCtRdHfZ4 zxn7n#By$K)rTAO~AWBP0#-#l`hk!Pcg^{^ps$nAVVMelHwte+sz2FS!6Ia z^)Qc<#FTT!iD^kHjf;$1H2OU-^m8^Avcz+CtTdPiM+tT5v0UP@3542c9p^#rSOd3{fl3GA>dv3 zIQDjd!XSZE_fXzk2(+i1Vk*TlCG-N_q1jZw@s8D~VQyy(`_|qVy!S4M!qmHGY~=2p z|5D*^)9we;hHW|g?OMzJ7Jc+WFW%?MXa2`5>4tN}P}1`7+(X)J98(|MdQSoTY;B&o zlOx?JhAm_X?5xt?;{Sa~e~`Gjn}V`cc+DCp^!V>9c;xXy%3+bB0Q$7YQSWbb!v*PZ zQgHHXtNY5_l;mMQ{Fy5c`4squVUiq) zu3=qo>CaZ>dM5sV*?nPFwJYN~_G6+%B2J;!D+xstXYqaK+;{mQ1@)fbX@PZFe!48} zq|>|TTs!ToX#MIBrtPJe^}NbAcUivPFnnaRw7!q9dp>A`SnbaxzDB)omwd{e9M6)2 zSXDcab<@L&f?nzpowQ8b!&ZofD|7ku`n&3gd0(wjg9EYR#acL&jo1sHQ7YdJuo|VxLNkGT}?p z(@86&H_Ig90lFn$!GgY&Wb{!}ReiFWjYBdH{gZgh+tk@pSJPpb&D|n*;wXV`c)iT@kHRc zp7*b`A4yd&tiEAu5yv$KgOD_;ztbsW+NIqNt{v2P>8o!lcY=egu~n+Q(itpLe&OV zPbaHadCBFQB*7?|r@W^4kHER_nG^~b-Bv3X%OR~VohAPm@-Qq>+c<|5$9aPo$wQAs zx-%I#jNwp2m&v)rL_BTeAC*c_Y&F%OIAcw!N+$)jNcx-4qxwi?XM!%@7xe3B zB+V>^a8%RkO$WlESb~FRm8N*o%Wpns9Dg(tlMLcxJFkcyWeP7c!KE>Ucu)7WIGlE^ zsYvDq9wJVEm6?e({9@Bhc}b^llo(RH|T0TASUU*HM=G z7ek^0ojA7TSh3%<^g9bVe@NyY$)BDTM4lCfhHF(@IW%Mhu-PiIcya6s2!k#QEMR=4 zXAP+^uv|x>j3TksB7xYphzA^yJ-w;Vg0IR`?yja?%hZXm33>Fi!YoM~%O_Z6&G4W$ zI}WKxNbmWPq*7y@uPykDv2*xpo_a#iTY8b*_nZngl_VM=qt$OfXX`Kt? z*fA6O1x6>=ry^&Z{}3}_G17mU`+p-;@Mrp3!h7h%!fvg-bBn~of-ubG*;FyRvRf<_+3Pobr{~y z)ldaSNJGc-LL8OFicVN7+qfJr^=0{7j8a04U@`fD$G9cJinF1v!AlbKnQUKu7qE6- zYz3Z>gND?kk{HJUC|layqY8*vL2PCK6&vfvO6)Tx)dsc?xfn;Hy@b?6wq&pc2htCW z6q;mpp-=80n<@u#{g4sj>^FMDiY+46Tune|UPBJTk%IkzM*66fSh;^vUJGPwFm+VE{9R>Bb-yd0EX2Wc(10lYRBhxiQt{o{Y~$B&9#`o`Ce zbDjSoezfwJa@|vmM;^})LTu%akcoR{?ZS*`_a^r3`aC$%&9YthM%sXQ@ayaYmS@X| zQ-|ay!t)gjMU#c{D9p4tTC2BL=T6yfA{6%QS+jf1B z$2V%qq}8hI8SQNhxH#xc0HU24oxR+mIrm20vu~Fl+#dC57ev0RoST9%*fh+5H7`c< zMtWcFIBdNNMm>6S0o<8{PI99<$<>JXQ6$v~r_8Q_fUXodt!qJ&R&dw0*Nuwee1aWa zmCxvs=JHTiMnu6fU8P@KUr*PP*iwgd zyUiLxXx^EgcZLPJk6~;>9Z16?djctXhdRJgFKb=CnifuSyZk%DlH3{<1`hH*Dt%V| zUFg4NZQ{JYSMj9^gc8#wbk%erxp6pVDjp!_smYYjlzX*~b*HHLOC3()7WVIIc>D?;Lo)yUPl~W(X5l z&++BE9UHk>=Hf`IBODKHb=qC7Im9&Gxd9_`n$dh<$g??P!+x|nww34f(u`@w7|Cm3 z>zGnT6G~`Tmgjt5h=*5HY=F1nEc=A)DeUE zv9)YrrxkQWC`i3P>&aAaW5tXhtdAE>aWaX%#bU&ON8ft#-&lW6^nV>k|8XqkL4?Up z_?q9!f7NGKfA;$Ss_%XM+1H-~{W(;h4F)|@9}88QhODxF;Fk>fk{hM|55JnRZI8z^#r8n|4;Q3q%!`4FMIlNjX)~^{Ny&&rvv&%OZdLryA^rXwC571lS`8d z=oqp7zA=kKW5wbH8C%sK{_!?d-t&L_XKAs`sRQ?E%O~Sm{@7Dl)UOKPtVye;HD7;U zAL$6Eu4(*u;Sl&NWZ<&|bUkP4;eShYHx2k>VzL^D2P+QSyY#|) zrj8#WUbr@n29E65*v7X|b2|dr91|e;$s&l2Z@=uh z9%h~BV2VB*9(lVX|J8?C&6;UGuk`WOd|>`Z^!M`V^`BNpGvn(ahVFn*3?eQo9M4@c zqWJ_6a$}O=1&WjV5o3UJ?J;{IPQw%9$%~R#qLSQ`9q}hxr^Q6N zB#)9sVli|IrwW6>B~_K11P|vLBq2H3;&jq*K?hBoU|dKJI?7j)?(qT=)xrStu3zZf z@GtW)rxSXt{iE>@zWjbn8NAxS|46mS4iMky=O3EP3>gx)z1<$NKS+D*k?&gQ10)=t1(h!V}+++#P-JHW&5(~&(kG-hr zHL%`iEWGkP3c`{eMbs)*4cf-z$!9D64Sua>b^lG+(|&Y(9Qdl|4<3CtUZ369|2qaG zFA2=G&iW{2Bz&el#J*REi7-F&n%6GfR|;B8e=?R;EBy0Wu7A)uE(~wd-#1Gf!O~g* z{%sD%Dit)iWw{pgX|;~bQBmav>iTeMSGx?#^o%)E?TsQOY+Om>r8N6os!;ASL;h)s zd*4e=#*9Nx!JOrArx*&tULH28E^?@jwNYc;@j^8{aqAgP?>l zlnNi|8i~EK5FYjJZ(^0Dst#;&lYMBc#EYTMGvjv{YtdRHsm#;^ru0aC!QvHrz9C`( zHX>gAWk!mk^H?~=ZLDbdXa?9)2^~a;{T8PL`I46_%bd7o7%+z4Tk`y_0H~DE?Wr)x zu2ogS>iwDGo_VwXTq`M(=4nLW&P z;Ncty-8*8P>xd3#2PjD5oeK_DwgjnMiwZ+G98=2m?241)$+PLGI6_CUHDQmu66J@k zJ!YDV2R_KFvsR%n{#_My=iR7R;7!GILAX)h#n6F-L4(hEsCA%{FYQSYiV-j=YFcqLMW&LKcgE1 z>L+$I;Q(DgqQA)V?#)?GZrId4+pQ_)CAJ~=va2Z^0O7;w$glHBeVtY{Pnt6gxDtKLKjf`u0eSNwr4V#n0{ z(BfdTziI1UBYr48OHLZVbM}V^YANOR<%|;P`hQn#ABJIjInW z_{btI85Ht?X*xp@i9%vGV|wq1Y*lCGb6KwI>o$ix_4w9HOOQZwmpx%ly?&hAeF1hz z%Hv6m_6jy){I^Bdybuj9Wr9E&#y32k2xyNl8C9`LPZ@V&*k5RUK)9#S5@wM?q3_na z(pqAcKBEGxQ4+F~`5Gtz$)r$Wc*e2qEm#x=d%I?$z*>Efkn4+??N9A~2g54IV5Hf0 zSqfl8r8D>jZDZ-x9Nl`l>@Mq3hj|O1Da1PhW`$f#?Qy2&i#QfRu}!t0kgDCWBo>7% zyUi|t{cf4IYs_Fw@!#Nt*Oc2*PZw13FMg)um`A<_bz5yxI)x}dW8NfmyIyTF{C<~d z)rHEM_NSpl&(;=`oNlehi@ChuJY~wj73N{}o0e1^M~Ncj z4j>N*_^(8f$|>fMUd*H`XzC&`Oog<1GGxsx(iSrThoH2= zOrYl%_f$_8D8a8%nA+Bo;O)XDO;b*!%M5G$xD`{A3Pg1#8bH`u7^=_t9$Pel284l6P#Ol7ld5dc?n*_v>T+y@oJakT zh1N2!4jS_6S7y6sbZbqJg#0C4;^<=5hf9$&zMTO!D;z4g%9zbj z62*8ZSA_p1E_XL3^a72YKnGQ=%{z(A9go0IDU0XlM-(zZlPE z_ZgCBId6#<2H%1%p(haajSBCn7C(bfaWqt*f@Wj7lHoe`@M_yiq8i{L^U$P8B{NNe5b#3qeVO(&xpnl=2zz%TYtu~pXHo4Gg0gJl<{uK0SLpi*@`Gme>Ej0FmwA=2Lohnut&{7_H%oD03U7BvR(zuVvvC{cQe*Z{e*Ssr@G@zMyOS4u;l2^n z7)E@mbG~)$Ma&p`Ll<{qlzqeA=t2br_d8ewvBZkg9S=4vT3`2Zttv^f@Cb!yOoRIv z^Qpr4x>T_n@RAlO_In1`pHp%sX7_6OwMjI4db=4{v6YkZ9Uo@_kI>{wiS1z;;RrFW zfD1F9o`wcF(G*3;na}(LXRL(CvL-3UM6~BE+$6D*DW1HJqfsfM1>sRu06&F@i}EN4 zc9uAF1sPx-ZaL|5FJ9m{Zv{q8o0_)d(WKg6ll0|{$|ehkH|W6?`ag9PtoK5u-*|BS z1+kDFTYv@j45r_wPdM$}YXBd67Ys^qLLxrC zAp1A-x;Q{2bgnn1(P=7(Eer=Zeg78Vybe>h#ce^|IIm%@Z!-k_lOtZ1Ox4O6tUl!0~ml~{0~19R8Ssnrr4nBrBlO!5)a{mQ}A6p z&`3e62n>z@%b0&|l7N9%HtNQQ?Fe&-zgzj6OAK0PMXmH1>++L%G ztDK(7Nn91l9+D&o{hfpnv(t(2RPKtKRUgW?Z{=k;oDflxajlt4aJtf!tQ!(S1(>`q zuK>BDcvAH+lFTF%a;%u)Dafmq3HBlA%hBV^P^4Xc3z-q66;f-t|Q=Xkx(Etoprnv6GW2tdKxppH1c z*qkw%zfEU>8H?r*IE`UZ+i`6z4Psk;Lbs(#wsx`A)zN^8W<252B}iz>tqiMsKdaK48RbsS+~v!qC~ao!Z@52^ z^ODk(+?Cl?lWu2Nx5uSiwPS=}OsldkYpA1nt^@}q(PZpyi7Q-|3=Nemsdy({*Nwbx zI@cb0_`+u^^Qm30Cna5HbNX!Jnw%E(PE8s*??69&1?7yv-e&V!k_}Mjgr?6kGgEPj zZwy)_M1Xy!9rhJMgUek?y4l?C69(G!8JkO$D=g%G%ye;+Jb@6^={#w@E93^Yui@|=7aw-_+6Bg>7gbvr_r--bsk40M!*ANWc@)w^o&7)j#W)h+3d2xSL|wW0ckv~@V|AB)E{`7y zoiVHBb-mVaMpK7iv8rQBJ#VPT62^PEy&zsW9|>|eR|*STRb z#9Tn)q=i0ak44W`Rc{V2ZS-BZMEr;@ox88GLq%f zyRnxQO+1>-O>yb!=iQd&*&|sP$YhX}bT0I!x}oFb^6rnN=Zqx9Mqm%K6oZyGjfAOU z4M0`3G!QgoAx+X_H=2>-xt8Y+k|Ns(M)RE>+humlKfsW`l;QyOMvc6Y9M=ej>F$QZ zdt@%u3W96rRPq}z4qsV`nJzDA&kT#;`kpWJp0;!tPr3Z;tIy~M+i3rlFTN0rDjhnBeP@-Q=u@n8o;E3J=(Qv75Atda zi+}z4d%7#H%W6YVTyuXgH)eezcPJNR{~XNl@$L=mkT&P+k`Wx0lqu$;T>m$wIGB;I z?12HqBsJ$Qy-s%$2+JFs=gg!_*)q!;^v&x(El7=Et3rA1f*IU0O4%Ry+@<6@^3VA) z+h=CIFE<#JcHRFVSE40d=l9$Y`=UK--?nvnC@p83F z`ki_B!+%jXrRAxntvD5natnpvzH^9EqUY^X_FSE&d{rHOyFay(Y4P2v<|ARgN>6&A zv5ijaaA&1jbt-VS=d@U|%O4m{eOJ-YokP7!yG7+`s<*_#(Wg#|zytkbu|%k2=(jpH{r9zAIRFf+WW1@|pKFe9kbNhdRQA=6F%w4GfcKZ`ZbT#U z*Va$>>%C6Ar(bTaK?4Uby0wng+u!i0HI-dIxcxZzg@S@0S2_^p<| zQGsOM{J{)giMh#^)hE@* zTblHa%EZBJD0ps!+OuN6_dwsSui=t40h?jAvZ6(JHOw%7rse;TDRtKf$ANN_7VYuQ z3iCd{4);vu`=evHzJ<+lwTHxmG8$H+W6!$=|MuV<(sj9~pI}qdz45_(I!Sp9M&C90 z)#P^QDz(~uVrJhzdS&Mvt>Y403Pdgme4A`XfO)+wxM5fHEz4k3`aP5X%}t9=tw-}k zIQ)hpBOZYX`aSF0;2q_C-$`${u|>=rT7C1G9Z$-At3lt}B6u#VVr{P4lXeySi9Z`| zVlB(+ke8Ob&?lhD=%Zyu;TyQ|6#L(F;4n7^S#KGpB@!mkbS@TaZ7 zfBCcS;^hWE_HkDz++!WCZhj*~ROr)h1ei;HG#`qLrx%IRlgDf_CO)hmEu4L>?smzz zCSKVBRii1lAKH2+ks(Lka-11{mYeA@-{)#}uOB;)<+-?`+?R*4$j4K|aZL*dcHvP$VoK#z(e78doPiVVjVn40-2TbElTFLwoH=TvDg z?Xos+-!{6Jah-&9a5$8i|0p17fNK?y!CaOpJb6A zFtC{2+f=Se8u6~#x9hBcGH372Twv#NUIb+m8c?Nss(9nEKIBa$d>MSVkY|hUF$NLm zPR<9wER&1$+k;>!6hZZ)*-f{H)e2qxUv)?dtBszH_s|r)!0McK%!dBjM4822)+5q) zpaVtB59wL5 zCjARQT5YjfTeL~7J#1WcdSN!+S0Azu`KmO0Xqgoz2+4ef2Sxijlk|Scj195L(Tgn| z@cCZUKklTMxAgBJbOSn2;T&1(>*m<+4_DQr{DA*H5?zZBU@j2~bsVVqfIl9IW9Bd_ z+Orw9I(}!T!bl$pAV@bL%Zmg&s(Mb5760WgWHWP#?4+LPa752g;+{W-{E40};W%v6 ze1HYVA9+ztU_tTSMkRNsWT5$L@wLL`L+a;j^nIdS2%u>nFc^>clBGBb(`Se!MfI{Z ze`Rb)Z2b2f_aN`Mp;%6`L>~3WmBNa{iA#MCWe;=j*vf@aNoE1PrWm>JTLW3o;FC@? ztKQ?S3lwEn(6_Lyv*&z+{nkxHbZsU{7yPNn^a5*O3mSx?s3VaID^rJPN=zT2G#e|4 zJ5l~rRESNgV9tFu!-|}5M=&BLSsu7Q~O(OJSoT$aUhymbfBViNW8GFZ&7Z@;>-&M??Rczcp?l_PT z72THQw&3gb@bYlCmCtLL_Qo!KZgyqGaQX$q=M(=?ui-;hEM>l6T`eL;_P-4WQv28+BZFIFT11NYGyM1>2-F(3TsQG&9e56F8C)yH0^JjcBu zkjnkICVoq>P*?+ysgP(!mGl-c-lYDFPraCgV75H(hCKXtpBLB_W1MRr0_50cSwZz5 zihMt&jd#>bSXIlu7DIo%1K-D3t%TJ|9+k`9aVw4n{9dTUY#dYw%UqSP#FW7BhQLi( zHqbKIPuLhAjUm1qju?XT>v9kx6w$GwD?#=RLBIX^7hezv6Lza?4!zI9hNdUu6*h#n zP~T-ooCFGqZIX#XuRMvPrequ@tt)bOnowXD@L`%yXDjojrnen6J}a$&Gt0p6|cXUnq%He&%DPV~eY# zdTw5&^(tNSK#LVj`waW_OA1SERL}Z^Q};2OS2B(|k+io{EDKgRawU|qC}@pZ&#P&5 zQGj+wF^iT;I-T?gg9K!^oA-x3Dyqw9d107X_=IL0pJ&~|k_N#7WZwbBb$>9#yUMnL z32i&K+TsN;qJ)9=W=m%B+bvdQEr*o`N4!IN)nRcz1}=Snah?=^%$t=Lr6SW->NxHt zx)x3AAEVFpgz*W>ssXdEN4H-KS3xNLu_#8HNkjA<9Zb)Hki|pg|nZe257fD6no5#p?vv ze4Igz#EvnN=ZZdx!yB7JBvKusK^|6H`sdL1ej=#b5gc36M%YODeJ2v#89G-gHzc6Y zR8Fr8M`d=Zn^lCejiEAmeY9dI31hfDC$Q%Yn`mxNZ*7D2O%}vF454bzI0Bs%wtYk& z_=%KZTXJRViQ}pIAH=X z%_iG+7!f=O?i(Q;*=EG8nh5%lg?m4xaG$=Z>nh*N-Tbkp7h}VtAcF|#l3Tu2Qr+%^ zeT7VM=~1Br;gB@W@dJg0^HkqkUX$Wv`l86IaKy$LK2_&`oWd?`-R{XXLJG%y`co95 zE-ux-KY{qafU4yfXH7o$-W(h}m2bFanuo!GQ~Ifb6if?s=|-G;D0rm6!T54CoAUW6 zO36(pEcw-RU#3F^l#bo#a5A<*M(`ttdrMcInS)3ZX>_#5>n3;#yzd^zx-&?Q0C&@BSc9`xrbFeny zq&8w(!jjt_(iEFjx<`K5VMnqiiOeSF6(9logeI|st#l-t!YB=kiN@0I7t@q-FJG%0 z;YmSNuKmR%(_3Z5?<)(YRs}2jjHA_CC5@6@m6W`%B+|UovTffgXIToWa=9(f^un1H z71{TTn&rIPF217gx$`J2)lU@YOee;quH(jyM&i1-^a$OaV>0r6ev<9LOSePX)M?Qg z3i@bLpEpXJC%m4H&<5%LQw{XqH}l^r4fae9I}@5mFO9UI#T9l#QU}yxq)TUMXuXU|#8_q`s-rc72{N!cS$rYHxT|`lQXDQS@{^5bkN1SyzpY zexhQp+B++k9zC+t4x0RLrM(H=()UVjn(4a4ToTM4Zi)F(BE`o$imv4AZ>z%z>u;J; z2Kh)X$EOT4Dt)@H_9Q*Zk8KMJk2T^G<*eYh+pPUdPHA?2{jEG{ANjmo6+Ez$hjfQ*S$&_Tx^Fb~R@%hj)cbNpm4?`8k) z|9zsH+j`O=EZ?)P1W)@6{UlyQDD3-JVJJMEl9mymYw{dvZtw0092&OTLzqFCre?P z&=6AA@l>7{JIXqrfA1+XyHluhJ+Y><#uobSnC|wo!5GUiguao8E4f({hG;x# zd%5PQG;36ObKbH~l;lrJy2^aFyj%_##6qqoGDkV|kns|Pr?n*b5sG>v*SxrJQXE6t zSx0Qqw+k8)aErt&tkU$%`8ys~S?;H7O>Z$n*n97kG5Xp(WEq|JF}Z8r3FQ?Gjy)7+ zbKRP0S+m08X<^dob-L%7c~k&hIqB51Z|SCUw^h?TgD^ulM8^fG3h&6zF=^IBf#4)P z$S|>F&8K$Dd$9Wj$z9sCMGc3#IFy^snnMKh`>2H!)Q|OdvdQPHM(4y`l>Yle#5$aufKo& zeN*3@@YgMy6gEnvT!HSEC9C(qHzYwx!^wc~0(VOpT0dO?%1fvh_O3D}-B&C3^F2KP z<@`2E$t|qJ;yz~P?)7i-gK{SNyuwC}xHVLtDlWcP+?!)HX<@4P$d9QyeT`@0sB+35 z=?8S=bhO@Vm19o|n*4mftVuGB?0P0-@25(0-c=eV6TQ;vf$aDP6zSgUNx8FpB4SK$ z0(Q`8DLDz2q}E4RCy~N%=$Mi{(dy2r%&anEfl4v^u>04G9ON- z(<1|ej!j`c&c9bawI@amO_Pw+{y>G7p#b`N6IPb5CM?K&DClL`@F0^H>9WWkt=&2| zr8hRU{$q90f8^Q56tbOd_s#QZldG?EE`tCU+cp*63Bqr-`6Cg0lUPPg71@R)$UtIlbuGN1H;?_%4gylxDc=Y&o6#7BvSdkM1agYR2;1Pl^ z2z->h2nZNJ*4Pk#dcnfxUlCan_72c2Z)rJul1Phi8!I6!>uBvXZ8`3q=SS(*Cs=dS|yKR^RaT3whAR#YyCo`5G zDK5l6VY2XU$s_`BX1Ol!RJ|ai6O8Lc32#x5KMW(6xYG{nhk4bv`Sy{ z!iph--N}pkAh1b$@5Tvq7dKL$oW3Fc4SWm>s*5fP{RIhuAs4lcD3{c^?gB+dBsE&? z@*=Y$j0j0(BlaX3?cx~b+aBsG5R4ucQs7D##7<%fTTdkYnvjWS5t8aVT(~}D20mTC zNwQ^?iRHRAYt9IGHv z;~&PXyXT`%{lv&tEf!RT4#VV0pT*SoPy8~ZS;OjpEf^{$r@plW4jXy1)wHt z%*ji(X>^l;U7;p&nFyw{pcT3<1_xb-{*5qZ9tI|iJ?TqX0_0d^cv_undhjMj2GSQuo(DF>_tQ8qAejc)Tfjn6l{|T$p8e1NIydL9D>=^#Rk^A{GS{H0F%g3n9y=h8A@xGLV~N)LR4ZIxsI?n#RYk;h^+?jK zbt)GF=8(^Ev8iifPArdzOPr-4snK?6-sJd#^NKXgUW5`I2MQ*#J@U{xPULWmIq=Zo z>>*Uw;Q}Rn8S3an7%GBVVyY&gL4Zo^ujIaReKZ`R{V*oP5ajs*)BwrJ{fLS~7-l@o zrdSxj7P7-sv0}+~PA#QL6im8^@a8^^GN|7pqhz`%JX|{0%13sB5F4eD#YuTy}R%^ zjscm0P+yy15B2rmUk32P9WXTtp$sU1j1VOVXbWyHDUqLvv>QH~o2 zvcM7#hjMNT*ruY;31UG^wOwcknK;x`q;Th+FZGNu#~>3m^ibVMEzUZHsbubnKqUst zkv{J9D8+oXp(7KL;>u=#O@_!&S6c8>D^-tdJNYT|QCbzm7d(2eM6xbu+pZDqeupFQi?F{gnn%7&z2I_z=s|5;IOO7_kq+MC`*5+S3WBB~b0iIA_P~rKP!_ zI4=FZ-Gmk>iNGSy4WM+Pb!7{}ehwWO%RGTTpuHs;%?m}NAs3gp56f}k1jY&?S0>#& zHZmcv_Q*%Mx9{Cocb&l<`h zKRd229ln-wkCI!_;~41@qa;6J*bgZV*|jMSz7~0bh&W6KqZM~Bs78$H*~GE9JhayO zui9B{yBfrP`!x2vj2(T|W*52IG;fyXg$j)%;ZCaetrs3Vp z5f&v|c+9d2N4hgTpOFlOyRcfU0~%VTx|t|yzb~;Mtjc`KvNJw6j37IxM!Fuhi#_2T z8WJ@l!&^pqfvt15~JQ0KJHEiw-jsM?{+V8e!XF^=@$-j*i}kSc@G=c#H9Q{$XccNvtj zSaU@B;aaupbt=s{nK*e<+@5F1erCWx3aqWU+=-uL-`!a32hN29@|_v7UdZt2Y;Npg ze?{k9E-AW3_1k)vR)_Qi?Slc>;*`I~7kXTvDzLDZ=Gs)Gf+S`=ArH^$yQAumy);M< zgp`8Cg9F=AS30eqS=7_oz;ww`4l1`KJT9vF)Kx4H=L5c=UedE}4a~%h*AQfHO66jp zJ*ck6l+yFS#UTRw^MN-F7}9-q(V01_GW$p_$?-eMa*$R_+gxllSX^XAEs+Y7TJ`)f zSA4yw%&AJ3JGH2A&f!wT{)H-%_62n~NcwHLB&>JS!56l?l zJ^t@R-lM+zS7nY7YdF*^{*1ZUsveVaarA~!UYQ(2Oj>JoIvA%C1B=qbWH{ zID@xsflAigRLOzNQn$s{nQuC6-x=(h zOS*3hSttkSsyy9wU5LK$E&ATIP=>@d`Qtd-QzCpbZHQjB&AS=XFBNBub+dvxuOgsOT0sx? z>(xonr~qo53!dVk3ie#HDm(RBovQ^#vbA0vLH9?z2RF5XR8ytXMchIwljXGaZeMbv zUFS`=*WeIKkFIFFPsv0P+McyQLbweIMHgr^g z+yeJ`c(r0^?|-=!9_5j`IjRpFzt1Dx{SUvK-H7)W;-jnZ@vZopEE2F%dF?%<<<<2A zE5_JW-h~&2j_p5Ht49lmahnZ+iJe5QF9#xzW_rlEp{U$=!LT*={6}SS91IxND&r5V zkjE+;r`_1<(;13*n-?TJzPQi^5*UjE43aV&vMKi$(kZXfRtrT!oUdcKV+cbcBf`pR z=tqGx#(~?u&|U|j&l^J*JD^ zH)~S}+-u(PnwvDQHt7eAzfl%zu|hOC8O)A?Xn~6GX`M0HssF3UN@`=Xte0hVH0o`` zAd(BowIH5B!kd)H0#);4d|`CO=`w`tC?hx25;oReAn1m=X`-baGq3j6F015$3R@|b z)bvL~7*HgnPrLdR7sU}X{ys=|nn(CBK+ zuD<9ZAfD5Lgn`3HdKwr|4(25zd8ekS!ZGN`Xz0FiY2NI!`LI~k?oyko#S%c538zNQ zfQh34UDOFxtzD8+sV_Q9r61VSRr#z);dcsU1{So0JX4%0@uQ8dTYC z3~Ym@F&M|i-Y?F1io^LTFL()%i-Ty9K6jBA#~w3h`sqN_7ls#+6nkqBWPQm%D~43_ z{dAL6+qPCS=BXq+Lv~S4m3Kcql{hnP^DdCtSj*f(LtBMq&VqNTW|W(J(0nIbsf@6w z&>bZ$IH04yNim*T((qnK=yovdiSaDLe~pe^lAc38ru1Ssza8*@i!XMCmf!;;Mcga`NhI#04I7**Z1=1w8ajlo1Iu45Ba?bAD@5 zY~8Ri=eMJ17vxQB#P6+1uXTnJI-0oqa{DReNMNE5O9eGE;(-=C?6QqXFo>8$0(H&l zjcI^+mi_?cVE35w{QiKWEj&VG6G<34A zqt|7GWwT1RsAQI^L5kHN`3cMhLLT>dJiE&?f)v2&uZ4{1SXo_ToNuclv zI;Pqo-qvt~F7myj2N2jhvo2Swfx(@m$S2xdLV2#@S1mE7C)6*dFeiMbO!r+fJ#(}o z-(6Er{{7K}y6+JhnF8%3rvkNum<>+JBU!MHa~zPhIMwhC^zU(9TnslFIu8<<3+7sW z&R_rQD&rgM>vy~kKbGy`^}AG8Cel^Hsbe-2pC`@#QKdz1OT)_h9BFDq{kzg8WBG1* zp`La>T%P~7Jl7QNYB>_VJuUPi>l*5sDGJ){y|P@Po#A}* zf3Pg?Q?ma3zcZ$K60jAe!UQiL8PsjD&{y!f#{1(hk|tIY?;zy2;JVDW(8$hV$M6t=C%dECed zZC$+IZ}TWzu3_T%R@p9bVQ5e1rPyb+`H+yJgyeez{de?6$(}CR(Ito2cvjdoGJ-f1 zX2SWA+$#H5=B!}WqSxB9pF1nqtU}4IJ-Pog&N_7~FeqfrS}!3rwP$ z-EnIu?Cb9ci8JByGM$)LW2)rD2t8dgG3zi(NZ4mOvfC%g%{k!SDA>JjF6zfiK;2k7 zauwqdi}ZDo&?aX&$TB*PGmj$>`}anF`b~VZtsOSap%lDTAxy*gJBg>Ll30Au6_2Lp z#dF&3vy9^}mxHLot>S&QhMY+S`Av0CGZ>X#X6yRxDKEGiwh@M1!ND-+3&jn2XU?Nv zu`ubIIdp7tqv%5_)O`AmOO8G`oiQj?x7%}!FzOb(Z3!{#F_li2;%~Ov^RD}NUOHy} zXDq=`S0(PM;tU|w90ElPcY6rD$q-zvxbS)kCSwTfj(!WhANirK3eFw98uU8KI9UMF zE8)$G+*sS34_Dv$w>yF^r*bw!=~1Tz-C(v9SbpN(n~SryOHtSB@9r?fy7W#H;`kva z!G00mF8QANziPRI?+&~KfnkqIkhrVv^j_@J{WH-u==7dv&vv0VG>{uzcYyQm4sdz= zu~qS3{fRyuT#+c&^)-Q_p|DD=WhK0s!Y3G7Ju$i*P9H7Em!|`6>aNP-_E~({@QVx6 ziy`qyr!3dk={=R+>(g_R3cnv?B%}mr1lNmw*OKFNm&3PCDdQ+KRoqUfzaLmZ=uI5< zczrABeU(1w(kuEq-HVa}>1_tHtMq|NA9m>#fggDaYt;gzcVis2EZ-lckNYD;t z>t9yci^_wg>V|X?@`F*HWRxe6Jf)BZVrg?NB2N%wpHz85qXUo~G6{X0o(q?hc=wL# z05|gF)nS}b5kVHb<_UE^bgjP6;_%2Z5}gsy161XWbY6GJE7R1sJci=Os{?!<_B$ik=c#5zxGt;_Ycn`)72T1{_!T|Z18FQ!+!%9rSTNuN&-m%2r( zl>+CwdZb$xy&&UJJ`6~gPtChwo??_ewQ^)m**XKXcf0IHc&9dA~-gb3|PZMf&)XH>GO1<8cA;DKzlL z8RBjQNe51*Hb%ouJloYdI;D|}*Bm49j%olMtpyT?zM1|g3nsbFBHIg=X|^9)!C(g~ z2*&B1e!$h~yC|PC)lr-wE<-YcP-XbLP?bHxx>nNy!@A6?W+zHi{!#?(LI?1Tf;QV) znos?(q6SZoRxqFplJC7CUJSug`wLKO3ia844_UlS;AQtIEg0|^nFHUbN2{XX9Q>7# zHl(XvTW1X~%NV{QrzK-;d8#)1ys8w+>QjZo*H9%4)v_wfJ$J1uNk?oGkm0LW75e+s z`D#ZlCH&1gcyj%m39#p<+q1R;^0k}j_akP8oEsq|9Igsa%Geo1VVRwIpFfC%lmwcK zm%r(`EO0~}0YQ3+rJr;}3amChBSpjeJ;;tE?>a$y8BhYoV3iu>(7N@b< z);lsEt*ltub6A~;z12~7h(J`l5h9ph5wiD~t(tt*Hn-YCe?HO{^qaZmL}q%b@`4Y7 z&{A#D&N^6sRX?Z4+IY4?(Rrp=szj0^S>I%$JYy0O?RYGs`%WFdAcf&Uh(PDs5+qW8$HM%Bxi5TQ{=$lpZf-VKr#g>t8{2 zzJBCzy>zlYd%~032}koFwC)d~Spij%LC!T~F#7ws>wz;gAKVbt)taM2hl&luHv)|aa zNBV6tDgjGln?GgdzRLdiG5^DV+Run+mWzFBss>gi3G6WEG2GV)$!BjYvnH>x1)<(J zSDvUhJISHeX-cZ@F%Al*$+ms{uAZil9{#&uj%*Y~4Wn*Ig&}4=rm{}A#3XL4fy>%( zWG~FQr7l~V;QJUzv z%6S0hpJkPAg(s8eX$71LovArQR?waXO4IHHzcRc3t}q4DitZ9viV96t*yPpqQBBVP zoUX?&%<9=PK|iFc4|Z%MXuz(d*H4w6tYe13PB)t(Tk(PYc)VzQ)j@)O#MBZThtIGc z(wfV%Jjj;$ltSs$N)|b3Fu%=TiU$mqm$@#F;v_z--mnwsvPvP}XMN4BgU&0Uv6MBr zCIgYM_dJoKqshDbT;vz$LCG)Av^ZBGo7wCxW>b}?-DM;}=y;Ye`B3&RiE-1I&spBQ z92CYGO)0;VC{6VEh|8zZ6kBOdf6pbI6MBlHH8~PQZ_vYqt}MCoWRT0Zi74L?@*Tzq z(ffeXAa*U}KSCNpx~3}4x8|N8p%CqR*ql@;sl*Rf=NTb1qp*Y2mfUquQ|* ztjk>OL?E3rsfol= zCGzSH>ljrP|0VPpww!ZzJU}7Lr}afGvtAT>k`ZdYg;S6D72V?~kJD&Zo`jJ_ah<$1 zx8>jyPAce=;gkLX=>e-;mH%&xqmNk$K+dPcIo?EGLb6UpG=wqvioryOj4?S|GhM=N zlY>F{$&S;icBGq3y0do^Y|}- z#8|`6Uz@ZC7*%K+>1oY-JY6g1)vx{39_^^`W)4RY_R#?m7IKh8X7KuT2S=qAS6Q&tl4* z%JF>LR#MO;EyW2`#32Wde1fSu-dXyEpp#rd9$&*nqV~{&Qt`+Nr9`4>TBL-~Ff6G% zE55UujtVKDKXorO>V)poW1ZHYCofd)OAHLN=}Yhpmw=Xs1OGw1D6<1>GDTc2!t@Ui zQm;BkIp{iGM0Y~szVi}V(#lcweRZ;xhZDFytHx&m3x|-&~wD#F;EBeay&rH8IVGXXbp?aD&u^S3kZu_CDqL3bU6pG{FtnE zw_c9;Z+B!>=(|FB;K?#%Gyl(@{jjsns-&vnbg!+L=oK)r5{n=Kuna8GLdSF^FDn*f zp!qvrkrJMUJe-X4*N?Tuh-+7!H3H%m7<`E84l9w(AIaP3S`0A{an#wMcgSQ~XI3au zdE{}KG~s!tKgJRq;Fzj(Qai2)3pziMGY@`z{iuIo0RfATaST~i?F&jTtvNG7PQTcO9w?*=@ z6Coi8I~k!B`|9ikI}0{JgUR-S1c7c(f_(wMhqSw&T3B06yUz5_EFxmf<#+ZQ{Zv?a z^|Qw+qK%jlG>i4u^|oE+UkV2n8mex$nEC4dK#1vC{;>4o5It>sH0I3)*G z!iu^HZN4P~ZDEPAEh+_1+7A1hVL?Xu<=7``_HwJvwwT|_=ncl+tUBCBJ$86z*>nLw z!fUcN#np@_eaRZ$%&H#LR4HbYXDSzu|N1O&Ha;dUycX2><19P#q((`uY zWv0T?xbs^n4i%Qq;}8CTGLzke@0UtpJwh+7v7I-jV2^EtkHu6k?wTx=av~*%Q4d;< zJYCW+q!%O{7d=_cE=8;N!!xu<<$Y^Dcup_#ncXuLsaz5RKj@<6?8G{D zl{;!lEH}PcBN;y^J>TtO>Kr=aBO6by0oluxj7a%+&%4KQ9M>4wb55!5UjEVHD(KwF zRc6=s4I$oD^t+6JFt& z)S3ap4CohZ%+w^c1kY*X>YlNe5aF(5G*F#)QUm>j$DpR;YSMo4rKBC>^IDj^DTt)h zIQuPM|N3}ODCzQeTD63Uol!Z1)I+-^aK)@&#m`Z`S`pv&p5RD7c`{Ilf$d|#@>P4h zr1J`23BNURJQFI>9i8<^G)~Hz4^i2yRkmL18->1qZ_O{-MoQ?qZP2+5Oe=EiS=-l- zOC0%8;lu04)vYOTOPml|%WIovx}MAd97P~{xaoMK18xd;}dEo7w<7YJUdzTh$!k~MGQ)J{`poS|XcA21|* z!RU*SM5|d5-It$GLbn?5Fa1dmPO!-<&MOk6uPq#msx|3|32VeVS8OTyhi2Es{M(MW zE2=}`b1I=unvu2dY<*-LKL4i8=);o=VQo!}ij`=$?Hq# z&<1Sp9W{QdhV#NZumanETTq{WUi`c<;~Gm4NibC6mb_1Q_^iYZDgid>r|R-XAvfyO zAuYg2{eBhgW!|W<#0|xt9*=R+*CpN%tS#4DHNIQFcL~-e?RAYuMSb?_=};yZGccdy zKWHr)19jzlhvj{vJhIW>)5r5N?)P~Ik%8UnjUK)3rBChSomd4(+9J`At?@JsW zupcz0GRepZJqmy$U5*i}dVd=PM1?)2hpb4=r>wwE!#m3h!GZgFqM3oD_r49nMc~ur zVwutxew#k$79XHWhE&3`;mew!V;_iH?0@Sz3ojO*gp^D_jQv;R==45Xabob!6XN4< zT|%E)B`HQO*|w~Rd0(~INwrg#M5Nh{5vUA~|E=dPg2+;6La>n6`7&LmLzSkjU?y|d zR%^~J$6a`;*PTVs_4=7ue)|$O7>mX~dDhV3s+>4{#8yL`Xyr zopK?l0W4zFiyrj*vhTq@mw%m$-jIYXSQRDLie6M3L34gH;}Q!OM~-umDyN!NRbri` z)AnBFLX+EL^ZK2+E1&7k_iK}GyKi+F?9|LWr+k?SCJoJTmR_cpY}7wqU*X6gak(lw zTDZt&KG+NIbC)@~2IHi}IKcvQ@u1ghFX}>$26~beYu=zL*y>^Sc}Be}8}rmQ7S@E+ zpC%u>JYCZ}l&bF~OGOQi7t%VfS1oZqs`8m2mKjx2P@4~=L81*`9_z;mq=ZI9NPKy&cNB61AN&-Lvi$7| z-e^3*l+c0oNucs+=a*1k3st_5K2Z+A#V3FgeM-rvARm&*8e?(sKuRFt38qA!Qt~N4 zfJ9y=d!#Pj>MVHQIm*^2R72f6{fuC|9KrlG{wZB@ z=?8lW(eKf}T<$}@5s&NGC+xdYz`(}9V4iGWMl$b7`LXXw!3i5p%PAiygx*di+^klWOEGm_@##48O30Lq-xZkWnIOu&a>!5(=u&%;s)93R4J;O<6Yes!A^ui~TtA9<5#aEWktT zJS?b(7)5o4pGXRB2%;Zze%y-pP%PC5ea6ye+yS7@7nn~EN%Ytol@gYKgLx2K%StO^ zAqkFi%&01~XOlNCRe6y%`fMYl)74>>)mqZ6S`oSEz|*)x+wLJ`oa@kCp42m;q?R=1 z^kY(8bxRiMRdQ@E1dDf6FlolSyESX-%XdleNT(d-)u<$SHzfUEzn~wb_3MetWLb&7 zWL8<&Z+b6DakXi94^&xv2In&@qktW8#Nl%w{kQn{29pQ&lVBuRc`E#$4a8~4q`gUw zO`>%5PPDyaV$-gO>m=xtM}imqQY0>0nL|q&vkd(WuF8a=#z)EjkGXg0m1N1%g|fQ( zHjVQG7%*|ik0JkJ` zC-+bwC_(FX_30P=LSlE{0Sw40BqZQ(AP_UYZ<(1t;;}QUsEg1!nYkmj*)p?buVrRy zeP1s(Ce6OYxW;ZuC#tT~-hDU9^#&(R?6zkSx`gJta$PX2H@qt5u|yepMUSTLvS~O_ ztO_9sTQ$3)b|x;urj$p*yNJ+rxn-ylBX<3(Ql3f6!8EJuW^A|kjd+4g3P|P!99rU* zt@ez_jjyC{+rFT?7@^1&z4X;BUEa3X&R`0P|tPDTb(<#KXEjE#M*F z7g9=B<0qwdEDlx9^A~T$1q(`ui%k6XMc>aQz=ZBNZ5UjeTs38f$wC;mi~4W#Gac0g zL~RHPzUpboj4nt5C%cmTRCep;U~lQwM3+`N+S*kveE0Lgq*mZTIp6eUU5mJ5(a=^D za|>hQjJ!`xTcIf-ADgdA6f=KI56Cr)vx;G|(>}pC+rczkHOIm{d%CxJgz)z>;mwjf zHw<(u52It90L*FVHZ3l>=!rd!txczD-_+1R+q6~^W9OZUf8={0xhtEe`m(<(iQ}&d zI`U#*jt-&5=rQ_Qx5atWtFnwhUWw9wy(-RDlF&=wQe_<@M^3Pt>Dk%N3m4Qn%o};J z!@iczb%kNGK3gmL*we*?X$XVXInAR0HevQ~X5>5vqQ`lW+8oZ#a#=dzQ)w+Ry!4fG z2YrOXSi}4F1XiY7cgy^JcyC}S#d$H zu@bfYxrXq7sTF-ifFlnhjm6o^@vOYsz+7$&_+L!^0Z;rXLdEq##5D1jLSi~AKIO80 zYjTj7_F+WkB610_2CT61bH;YPZP+wnCL#ZTN*GH*pT7R0Z(d_xsYg;G^+qXa-{Xgc=UI-ssZieFJIM# z{lIFF*y@*6$Bl}lj9o0N#uk^sZBCh*ZVQ9(x9B`*{+iSwnsmuhY^_r4iAm{PXJu_P z-!ee3!?M?wPGY*nkEI?z!up1#>zNPkSG;?e<*@RUKjIVPTDt2r#Rrtxu?}hl#F{F? zu=UY7L!7R$7SsE}R+%|lisyG1Ddcstm?yCemX`V@xok3lQAlD!nqVQrif3W>#$13| z)|ItM>4!XJCvKS1b&E7i{vt6cx!spX%(`teq<15a92LHoq;eu>o*;vCnWqvNs^C(_ z+7L%S6F20Dob@Cf@x4WAU8YNX%mF7O?GcGy=!mz-v{#Csq-lUEMiG9=7hh7ld9J%~ zt^WaMG80zW@7tW(!6Yw=_J+@+c&}KGW1uWSIv?z z{@wmu&aN!Di}G$Iz!oVe!sVK0hI783-8Eo}2fW@u>wK+-s@d<#dUCOVvwExp;=+i$ zJxI6jP&Tx&gI#$hdi=hbowT_ZbB|;v@T#91qtdOci=k*EiL7(aMvyxI#|`jGN`!eTjKF-KWxxAthK1suHoJyPMV&;XBZ@4v)j-bE06ZBSuQ(8ouP=+%coBoo#z;w!#mSVfpKWm6ch-( zE#(|wDj-0`q$E{4Kh$~T!cE>)g<%X^oWVs;CEeWmmS==h3)7s5x$K@8V=lGu#JAcB zBIf{IRYW034M+6UBP%%C0qut zfY}VQdR>SK?1__RT`J1@HIDg?3i6|mNY`->eydgaPC}yD=|oO$P=QGk#l?J9_|vW= zQWmQq5gQsu;r!UF8M2hBvKi^ckx5v=?pO%eHUX#Cn57t;#UsO?io-!5j8%ELKx)gl z(f!4dq>8(0y(-#wioR_iZa*|Sbp#5V(S&OSTv204H^kqSPYQ?pLdEh?4_}5oEt~cE zvaG# zZ_RORC(BduCXC5llC!6^>wGeRh;PGs2?Uma1=)w522(fb&;wLwZX22}*H037Iv=-P z-ZALqQn9-5)G61MoC^1*!31dOWEEz-cwqqX3D{EB3b5j`UndKMD*bN1er21>tOW@l%=Yr+fU{NUACXfB{Gcc zf}=H?A{x;wm3zqhT|NMhqar(XtUF3jjqZiVp^r^@zSC7$f{r*7Nq1>gr+m4>RNeB7 zzB`>|O+4lKX2VYJm!}P;(T2urcgC@4#am3(8ogpb*RmpZH^x_}2X}^PDuC>?(B5)u z=S)dWn-48tWyMS3j4#y9UoDZAWSLPngPJ>go@m+9ke8b14j9MSd>e@LNDG}+QPK45 zX2b1N9u8-+uQB>s^}!Jau>R5PkJ8$&F4pMDY*sbVzvck6Vzr!vF1>Bn{mK;SJDTbi zJ549Cz!%Gx_H@8$8V8`WqgLi|Mc#4wH#6x{?YdB(hx%nvKMxCv>FiA*b85cb>lFm2 zn3DrrWnWHPBTJ*Jb?9Q+H2s=p(zzSV3D?ZoVcr;Iz~#ARzYn8#%sm-Ymo4NA`myL# zB`&sfT@l}7Jl*;MtLFMkUX)?s%S=o4co`Ou;o{UpC088OEsjt4ip$1i2h`Aj$FkPd zkb33qVM%U>Q4uJ=Zk`xEJlHgWOrUjxg8_yxAyZCIrH(DrBm!-ImaXSN){yB+J+2Zc zLj}}10j!jAPYNkr0s~miVhEk+Dc;SRCN7(zc9!@9TY(jIiv4`HDa{(A-)!VP85KC& zJForh9jO%FLryb_hs=^uAX6A z$|VhQ`U~>JA!i6Bmj@Di$%S*j+AE57Av9t1K)EkFEJ~+cuN-KYH^u4Zo6aI2{h9ux zMbmD}f+k3IOta=#*fO^&aNj* z*;!?cL!Vg_(M}KbXi&$mNSK92bLYj*rkx+&hvCADBIZa5DAvN_Y3vpK6<)quN_+>A z9mpiW8xzM+3BM;Bc;+(Szrc4Y9wji74l>M6>c>KdaPX2rAlrsdf+AswCU}?1+i8!? zmh#t#&LhqRsi$7w)dw7CinVy7EO`OQ97Lu`-0>M*uKP(Jq~Av5a@q4OdVZ@5+zEh6 zn&9w7HuwSRMlPdM-=E#QrC zqR5F{OTokuFAfdiyqA3VRXVA)>Lg$1RbCef&;5eqwzO$!38)scd09NXk}K_H$pjKb zX&~{fBh^0rzp2_#cuf2IA00fNbWB3b!V_=As&$1NM#p#L6E9wNw z-`Se6NhgpC{_$&_Zp_&^IGGaEfKUARjsDt^g~-;wbBO(>f3_4HLayMA$YPuldobz>IVIcM5?oj2&PV5BOEjXH# z38jJsmH2 zy;VC0IqA`o;`y&w(^oWbh@-KHh^1j^n{VGQ>1nwk{!2zUPZ#bT>q$R@B?YWRv(L@wHKxfh%q)8VkB=xcjc(E#HNH3+PIc_{7n5oeRN`D!zf$r(N$*xSgHhQO`1BHwa=e> z^h}-a^9R@*Q|NRwH`=C#x;p?Hy4SbMHYolLVe4y5XXl5GSfvIL{5Y) zKv1@qy<(wj2urBbc)=n_IEyWFoJK2o(|J>uKJ#F+Bo3R^qK9$R<~gYpO0ULh5hF@@ zFjj2kkrCj>u1Jt-Np18UGW~7II_|^j*6+fFwDcL z43`Zyn6+6vO3boRAdRI;dC$=HIy*wiWmi38(4d~F!eBX#yRjD!6%3TBI7A96OGpi9 zfoXM3VMvKSm&_@eCT$J;aIBg{-=XL7xl^>j6D!vtm+lP%aH8k9W0j_26b~SV&Qr^) z-kG#n{&2!^HPM&n`=hw>@eDheFTmPg3`-+w2%~KZ`RQF^fJRO@cBn{$2rTtDS+D3v zEm{|90Q}2Ct#Z}EL?`bbQ5Q_qgU>hOss8-2-I=FE(?WasuZdN|@oW0wTJhcl-PD_m z-B0(zL~pPdgPG#SZU|L> zv=BgIuCO?4kU*itp<-TVlVLlKT0IM}q15WR;Y@eCA)F|>tjs8592jBt z>ERm87_o+^U-fZNRVspnvyvAi%X~HH$cu(3fa(0xy76N*IOS3z=T^=I&nz(lBB1kn z6Dp^n+{wsZz5HZVR@AH>cmzf$^bFQgruO(KBT?P+1B0wVA01lZ;#OQW-SD%ZbF`=o&zL8cXN zFH|;hJ-%J+G^<1wTxTU;M#B{t9bNF;bn5O1OH74%{bI6*vodaHR74yX8IwDS(N!F4 ziV;!KU+nW{*OgLf?w)7mjB=Ts)k6~=VFV~i*X>f=XBQR8ei=zaKMa!obp>u~9Kw`i zy1c{bhhi1MY%7coi6&7$TN`!R%;P$ytAVbTdvV3|kSJifL`)FgMIU#(1n&7pOQ6BR zz-JTLylh%SVd15MRtOt%tD=%t#aZ|;dzdrGMUUpX-)`v^sB-wO0P4az-8$>MAY7n0 zA8R7gU6G$O_k^!toxZkK6s_jQrac!9xn=9}1I(&gN#y~VmMjx*DK|<0#5%den;|Ok&R@j#Og(Y)cl~qE=Au zhO0zn@J)t+=tcF{tcgSF;AZMsBQujWG-=Z*MGaA&npKX?Q0PS{Ihm!tq%heMs6!-^ z$|9Ym^+w(jHJ@Rs6S_<>S+HZWd3x_cxCW^Y^SCk{>G%uuOJy45%7qal4{(ksBGojT#N0fC~05%!)*hU9{> zCK6hiZFLw80yH!x_xY}HGWF-)*Qo)| zx<@yY8oDLXqo>(<;(1bkDs?kzMRV8)P0l3wgp|jOgrUx)^b)q4N&0Y1A5KSnG)q6O z0MVFU0dm3O5DJW;{*qx>2>e*pKQSy$Y7}^eS4P+ohn0Y=T}-V>ex{S#C|xoPtAU@6 z;-jf1Il{7e(o7|d^`;I*=8CO`6%o>%F>&BJ#fM{KQqLOco7BS+6L>nc7tYr(#nWuk z2iE`cJ$GJ<1d4suzQ-7s= zSr3Pv2Oq@?ss&usP|2A{5NB_3#QKcdiRL!678G6Rbr};4{J-y$6EB~OmQKNE#?awV z&R5|rUD)X|TNeeXG|=$E+LYB{Ll*)`*9p?Uefi~5{88m%axJgi`yPwBk_EwQMjyZ= zkbL$7Bgk?h{dZrIDYe15U6G_JVS#|m)itA*mYav%e6QeOY$;1Qm5V$M;9444lZO?F z%ZjjZzmhWVH0)O`UM}Mw&ky-ICnzY9e15fMbp4TlJA$??tx-k&Y70S^R1NV7w|(`T z6BayQw)mIKfKt*w`DeAQcamZbGwkANtc11!2@QxN`*UGEptJc_L%*;N_9wB71{r+z z7(o6olB*KypFA`x-*N_N^ASb-9~5dB$1Nm#RDJeMx6VP+g#Tk+MU7@jwOgUzJh#L zCk=@R@JSGAi0W8f3_@Ed*($>|Fb$5+$U&Ssx zmdYW%tRKsh1|gYhI8aj83~^dFy#${rjU-xXOlvOEQn6F<*^$nD`H2wiS{s9=C!)0~ zE<|5eI8mZW!H5%y_{EbQQMqN{IE3M|E{t+?bc!m92NV5nZ?sM#CW6g#w2&|Oc1akA zOLZIm1Du#(mUeUXoQe;5XJjtho_J&}`dTOoy}MFV6Zf%eI*n2~tM+ub9E-Z<#f!L8 z=$@U884_E%u@p0O>qCz@WX^@h88Rkk5K9qn<~Cn9HwU61N!MLX7hz1+RlXe9{#?td)-X9?VICN^Q&o0#CMM<& zmE3i?r6y=x5n`NdTE(Og)rhL#^9Y?&NNen6O8;`umPSxMkDuk16Xt3)nUjY3cSndn zAA@7vac>$GaGq0VDD2i`Jh|F~y_>T$ytRsm%*a5lL(S11#4+_V5@mL(Y(sU#ydc~JLSU}>=mfss3=teJy=PPO5JPOiux#yyZ zF`zucSq-jw^Hs#`>cOq`1JzCBlEG79ej+*}#*_WXxW1vf!_bA^&4_1q|; zuO;nutOYIR7L4cCS$0Q<4Bwd(CK!=^2`p`63_=Fh#sHlYcT-;LLefv+MUx^&m~a6hbpo%v3ZXVOfF;#Q0fX{vx)I z7;!swDB2&L0~F~xMA(qXa=I!*Wg+9cQzylD_@g+}V7MF_`X<5d-%Bn}F!dRbN~{4! zv(eoHD)dwSu~KYRm;nc@aQSlGS5>}q+GA3~E}KKx~6 z&bfbtk{|3xbog2o=?fQJAPyS=3wL8ILRku}Ct2j7DeQFln{YpQ+aLNZ&YF8d&@w_U za0snL2NwKV=9SaLim%GLQr)B0{iSSBg!@>&DBAtC)^Y2 zpZNs&XN)>K)#o4L`E1J;=^xfQu_v4dblgfveBi;>M*k*MA*&N|tnLZ+qLPOpc_m2U z5R%j&U_B!K5!@ctu`81{V?vUWC#-$I`CKSB_4SGN3C6K9r(U zeEzW%=hB($1E-eBm1Js!l4inpP!MVvVTj@nc@)+~am-D%$kpJg$?Nl}BO<7hIJw61 z7a0}mvc-{IO#_oL^<`*~(=B$gi1Y~&7ZxauBnwzH_N38xq@y#rL4^eBarjc?87E15?r1^-+4$mGJzO0rw8ap#;!juFP z802iH5G(~yL_kGE4wZ)Ft!a{{W+sXxrbfmA6p_q3@jH9a6z30MVE!Brj2?Ll?miUv zRIKZwn@Jpfi=r7uSUg~a`7@ZXNX5K|uQoL?*k6OMt)^w2;f8Uapwl2Wqg%p8>>vXj zrd*NCCvT1=7PDeugk5U2>>Rq9(_8*ZZw8l4fzoMUG4sBqYC?NK3D! zg(m;tIIkrN#>q5TI!Yihwf^3S=VDyP#7p9B_YQ`3?HIBM0*+XUdR;jdUSdANQV`1?ba~?ekg)(ooKiz0@qTqyRp+KF;5Ln6g z-@JJ$ioNYQ@{h0n3DiHK`X{owGe-W|#%fhNeD&T9EaT+8sfoo?3j&VDmoHSf(2j(h zmYipKG|87d^N8bYRUGz0q<}M3^W}l(fU_eYpH=DL;K!>0TVOaGn2WrbGJ!)xtl#k- zuPPZpcG?LaX-UL8oZnA!cj@o~ln)ZC9TDO1Gx0O)e$Be>&x9-53NHYX!yexDXZ5|5 zxv7f2wH^xE`ne8MAX=<)=Hh}~$nAkRJ5>yx&I{%wVZ39Jz~PjmyKqQAXVv6|AoAyu zYyBhrvFA?Yj<-KoG7qAJ!fkVV>lCWe3nDk!VtM+j=e-75Pkr7CJoB>k3C$?rTDDU=JrWzMtwoRPEn`SYlb*Nhlk)&AKq)Pf5JcAu!@~-{FV`?O&$T#B z$^dw1Rs|ZZ#vHzAFe12ti6VxfgUl*+7~{NNV~q9HQR=#5c$yk#D;(?y)S~E?3AdXI zZMOAa5qhOk?{sqYeo)*9atqG`o)GNlFZrW<39}5gmjsj0r(jNhO| z^yt1`w2yMr!(7QLxfDDU26cJp*21WJkvmL2Ri^Q2zRVfDR$Cp-q?Ur_C{97>dQQ^| zF|eyl2+^wHQ`k*;+9Mi+fcRYIYfIv!h*)TMeRpKk?fMt`Xzl*FH*e_7p>e_o-x*S> zHfu+Nh>I(dd0?@`qsCKj<#OlsSmo>TP%`rCbnZKa5`rOIcD%fO+t+eR>$`UX?2{A9 zg*Yb;HoIa)SZtC^oBMivm@UuN6TvT7S|)|9c0KW-+H%`1&(6NF-yVC6JA-L?hPk!f z$ph7luZeamR>(@6roO`7M~sF2ozlXgv~?ja4cLg*IP9Ckitbaz1w^j>jN+6ogP}aW zPc8rUw=u&SiITjj#eMf=fA|0eZrAzW{=40tWZe=?IT4qNxNTXX<| z?6kYdz-hM zUD=_myju1I?)yf9zsEJF-3ns*^+0j&Or8H#pp?> zD*k^wmbdHRO9-Jo|_ChfRf|h1>ICR8_7^JQkkpn#rE-@UX_n$Ts zAO*G=Q9@O0?LB=f69gvx*&#Jg)w#cd_lDhEWrS?S4M%ir(mDe%l%)P<~FQ2s9ez-fsvM{Aj!8X9qw&M@V5a}e>#AbwvEZQub@ zk~nXZN{f6JWTX>W>oZ0mW_>(J7kiphx{wL4Kmscx_IlRySmtz9BN6&HhZSqDeAXWL z)}in~=F0wM#fq7OX?ozUu%?xi?{3f9b@NmULgBhl(UnYq^EpxzZkC}euN9;mQkQ&> zZHU5CZaJ~$jd#}%2CVhvgaG%e86vM!qGD81YY$s#R@Hsw#bfs zOYq+5EWRb3UgOS=L3s7H`=lYJs+}K7<(%?q>G5aPUFN8(h0F6;vF4lIrwoH zugsPG@@-9+7VYv)!b}Dxwg$!dvYf9~Nqk39@qMbOctAr{sI;Vwz)Un{DZ>^ck3uX% zlBW)MX;%oa^j+( zk)ob8O)nCp;>0;BNR=rHA_eypJoqH`slXlz4`!@`r68D**Li0KBdhM+63CaF$#4`v zF?)T+q!jMUj3HyAz}btt9+T-@Be8U3LYSc|jWAY6$Sor-4CB#d04PyoS3r7ke_|mNi zCX-6WB#Yw%>0~%+biktJ9^R=_g&9qZF~l@(b0NP>ZSew-=&5CQuXV{pa|(x-Ph_Tb z`v)$2rC|4{0DV~by3`XTVihdW+HzeK!h>mI_1skYiXMbBUjx(aGO>rT%eO7VJ}p;v z^b9F082~YC5;Z3qnMkLibD z3Mf!OJzlf9j)-S73Pt}tF!qp)>@PoMRI=dm;+vyHRZg2iT*PA`1gL6} zA~!lq@+PY+`-SkmlQ~kX8-WoTgg*-gNWT;WccMw^+njAf=f6$Ujz8J?<5qvlx8$)n z%|G$?)}dfb3IVMgO{pi5CLt8Mh;Zchx)TEp@F}Jp?Vfh;to2Iob~=l~P`R!uuNBo10;#p1FEAShy1+R4V0ogBr)J`PmD zCU=PRV>J@yCg&_Kfo*I$r`bToB=he zqK?bU9Cwi=y00(V_J4lwpAyGTvcM@ZjBilvxY8d7;cbW6G>UF=Xk<-Z=xcO-g2)D86FW@iIQqO#}@DHlFGUN*Vco zJYT*{uPAJi^rAu&ZFq}BaRv?aJZikA`0B9Q(jP0$W|;?ap-32WLXVeP>JcehzzBSs zq%^CGnvS0^LzH5#l=80{;5nL)%7JT2Fv*8;i}1I@8`1D&Ffu`s0Lyn`N8OYwr1X|F zzG@LhQ``_%WF$zuTbwSj?mJ@U_6PYbnaBeDazdnuheGIk<}Z968PXz$aZ~1fir6mK z$-LNtedC;q$8AxU=bRU-=X^h99+X5_4do(*o@03}j{wcS8{0(~J(zSE4kJqv+H8mx z*9o5B05LY=CoKHP`nRx%3vG}(AB-X6LL4XoK%M%zEtb5H*PplpcEV({(h(MnA6tv| zI+E)N_8+Dm529GtOJ0@IGC>wQl{F}Ka${+V)9_Kp7<0Z)KSk;Z~{hv-H%i_g@oonRKPn9N{jHOx9+#AKk5}O-N86%K-zac#nzsPK&xL~fhWcn$dOPABQrRmnfd(u;HDi0HKEQ_wG zQ&q*Us!DDaENk>!*$O+5;Oj#bYex^RBaSv-Tp10z}vYyivqwYK<8A&yH=g)|Xc`me>~dSq@uCc4!W=N*vBl0!7-Y`^Ki-pPdTJaHX9y1tk_19s>oqrAx&MBDc3|F+t?9ks#;X?$THQ3uhwK^ZX85JuLG* ztyAv$S9OiNA)_o8o+XN4@h4%0YMXuu1z#(M4x-bXsYP@K8ygI<&YugG^-7f!n%d(l($|~rAU)znXgJSXH zm7<8*In9Ua(x&Cr(nBc>a@S?0@u(sh_nx&R;EE!~QV_$MYwr`vN`q)FDTQ^s*$~J` z0~ae!y1MD|zP(ZTY?j^kwZ0^0kuOP2Tb@2K$kI5xlychjTMd(psmFB{pD(*D8a1b8 zwY4Ap3HIhBBDn51ROrt#dx2HwJ;B0x0Zc!e;<~l5H_PL@)~;C+g+p9Uh@<=|bw}A; zLPFN!yyf0>qo3(UZj#3`K&%epj`t@|=7+N!erOTmjQ4by`VFyHy5d5QbP<{5A+N}q zSa}3ko9iI+gUrm8cvOF)2H{#(y@tW%0v5Zunri7qCNCN%*s)x}48GN-_%csdH&1+| zBjUBz`mCoiKbmFnGwX@aP&myJ9OXt4Ng+3L!K-YE z2Ug)~7y8KjWR}H`M}6!X;!0lDHFLA{GK-2^vJJjYo1d;V5{zS4Esa)JHvI>j8$a19 z)8l>+*>4G_$s+hXn@wNOb%ll} zS2tdE@a{nKF_qt`38c4A|(k4=xZGb5uWMDaYm`@s8o+S zX(PdZcnaq$*sBXSBwoqs>T*if>yNgA+!%3e^8Sb}cns-2 z@rO$#M$s$}4xPd<%jo(IRB^4qD87|ph1tmk>)0QU*Q*`X&!{OS*)8hzLMp~y8H={cgn`Es`99o5L@w`ySHkQT{PUkRf+JG=Eut5 zfYCVWo>&GoDoTV_=s>n=qk}8mGxUB^1B!XEE0FDnzemt*(#xCve< zUhhCrFe%<2BdalJ)n*Xf&_!^ei_hwpL%tT$T*bf$qf_p7>6Rbp+JsgVPHGd5wc$jT z>xg@U*pDtW@)bizo36?qu}$*GgVWF7{O;|_CHK`7xVmD|q+*d{$V#7NR`XWl_5wpc zaz@Vcwpea2BvFH@>_%U%Xd(LZ5}x-+c3iemL^xsDL1yV{_!yCKqe5 z#ol6&9ZLJ1BkZ5{TYloNPUWdz7eWiCe%cm|O&|KYEA3UYF8GqOF3-)bbe283%)$9E z2o?+x^%pS%>(WJ(2DFxBL0<&e1d`ARQr8PY&re+kwFnY7b1AA2xG!uOdCx$ez*|J} z%EquqNJ^rJmsOPHE;29i8GDPiW+5r4rFGjyY zm>b7Ql4@a5?D_P;PTdf~LaZw;4n9c=17{Djw{V7A>d+%6CL>wh1s?#yWPx;<;?YF| zv)B*fh>{{SFwzZ-vp9n!F|o9w81K1AGCn2wXe4TsMlM4km7Fy3dE2EG#j7%DUVtTN z&p;)iORVUZKsj!ljP-#E!oVk=Zi27kl#NeeOov_?>*~Y_t5cK1$`PC@nwzAABseU( z&u4v*lR=`YKCX{lixJo`O`xB6(2xkKi}l&r73@3mn6h!PsT3w>7%zeVsvR5WNyIeN z4PkN($x+}3z6j&8htYSyNve<=K(vt25D?~N6b7|2T9WGsuP+%*PFWFTg+}2xH9}TL zB!W|a>S!)AOwwQYWT-&4NOYB?uF@6s??xm=p{|0^_kAsiQOA^|aVef~a^E?ADEdOr zvsQ@=baWG&EP5xe1A{&p*A7`m?@^FY*2!6y!g=XS@9EKmr2}nqlOR-V$SJxb$rxRj zVqk=Rp!F1E9*7hM`)EO)1i~*E7t3*wDM>C3E|C;MRO}6s!a)-2)7F!|^SN{^f>_i| z7T$P)^hyx>4)X*xG<_HPrtdt=yW-3%`@&R;IzsERVXnkv|8f0H)hWU-4180kXlPv$ zTJ*ckkGxHg;5|Z*`3#?hjze@FdYlUPg9Q1^07b7QA}xlr*z{f&U<%Xugzke3lh}5Q z7w7N{vT@FYQOr95t*eN)@sJdt?@}Wv4kOFBu{ef}3YJ{xEi&qJ!FXD#JxUVQfeAX$ zb(JX0Nq?ArN#;|O_}!`TL_I_c?jDen1+s2pK>ND;{5XzO_i;F7MpcXuhMcnitkbDl z7AM#D$A*ziCk}_jfbL^lQ=quatW9Voq+n5Ew3e&}A>SBcsR#r`viPEINu(BEKCN?^ z)2l(?`g(Q3iec?5(NWtU>9Or2lQRqs?VJZinS;(UV9mhZ} zTd{PEBO#Ds70a-~{8fv28U&#p2@wQ_p&ki=na9{;(0_IFL8DB`fWiu#^5KA$kv68G z8lBl94$&}~dk`1M+>-?lHv7KWRfmG?N^K*E`LLBKi;o^IhmTr4eNqIe{RLBzkIrmk z24SJm7p#OmcD#LIKdR71vtfm@Fpynq&{^Oop`L}<{V+O$NN-r2o=RZIuI%gQVlts4 z85E&7Ex3NF*3U5E3y@ljf1p4j8Ko$D|gd7&je-QkS0#IY?-HwEjLY`N1^?&>Nk zqZJP>{a`*uH{k$Ex+%t9c6Z`FW&+8gjKK|KX`LU$ZI>5u;)gbd?xZl-NI7X;S(JueC9z|Wfs!2?1$8lmS-*paVz0?&=au;$aKmF`%TC*_!qL5>OwVfkx< z5@*ktWbu^gW_rC9d%#odl`s7yen>M1!~E`_Z#w&Dj_=&@kXLo`3^pz_#9+l~joLzZ zW`)G~c07czQs2|w5MmUG*NVNW3c4Sc_o9C0q8YCDYRwhN;U-_=5K$M~{7(0;s{D4u zTqpFs%Qk;5t1(I`bj~=RlotKAd%JGzEetjJSDqp~XF8@NOoc#ggi|G74Lw)#?XEan5BYl%gPFucBpx{Bc1`<4 zsEl7yl0p?nXZC9}7^kb^Jna`pX`lXvbdoNJpXJo{5AEDB{>4gv3R8PBnU%u&)6fN8 zdcO-ye1@-p@gIs>Z~$JPG#DMtsbLJ$Q+aw;YnVh*Og;|*8NQ=%%^Dl0+Hs+Da#4~R zS(gJ>!8j|@pvD%uZ_+2tMr}>z6CPkyoesq+*KlZ$#3RGev#}+D6xv-Egybs9wvpT9 zp&U8xIwMWjlAA_7?FD7BF$(YQl=H?!L&Sye=&LJqT~j~IH!{Ay?zy1dtTTf6`u2A>rb5OpJ-L+;fjfb?D=@#}?nLikry4R^f*)OLG{WBY0frGk4}e*f!= z)B^)|Ksn|t5R@Wuo=`qvwf?kc(5m^>;81}X&{rpVqsS(~B_&_w>jL|^2ECPgeLe*= z8@qwY*E%1+`}k)cfBNx{KmNtf{sa5tU;pg4fA;r3{sI3u^5OUN$3Obn@BRG8_QyZ} z`9J>n-{RvR|Lk{u_9MDPGISO#-}hDXDD-e6fU?G1NwVu|AW^<{KK?n1_+1qJhadk6 zmH2af@jw6MXaC;E{|;aM6-xZk$G<>9e_ye~mL%$K8?vpQ7)d|`YOH+t;s*>@?5!n zg|)(g*8W3k6YcnekALO-{2%`8_dfn9Wc~q~^G6^5;OGC)NM1i;h3bmO=6qdi!B!XK z;&~Z7Nz~LFJM2dgKl!m}55=DRm|YLO@RG9_Aoj2pwI_lkTN=?N4caT=^tCy|Nc{Mx zsO(Q6^>}w4+XIY((t+)U}eH067HHtY_l)( zFCC1CzeY)aD1-0cm*MbdAOG0?_=h&f7G@vH{VuQe7#m+R7J)HT&11K}RHAcupsuUwP-jSD2-fEiqc%>^6mL4jWPU2f6N=moU2{Ux)XtEMEaA$A12IN85Y z_M#^QE7``#E=h=&i|nLw;U(_Z_OUOP6;_B5-h%EML<(TJ42l6vqNEIbrlNQkMM&+fE}?Kk^70 zC@~o9wt(rD#KN73Ba&m}((QI4E-~WxI>8XArmXa%t{9xDBOFaLL4o7@aYPSWL&6pg zl~TM$I74DvKB>21=E!b{A!1aRMpiUZ6?;a`G~{BnD~k;sYXdRPk_%CaRmY3bI4izn zJ&pzN&|a6Am9{#ttH#kj41EU+(z3~CvLXU%2EH}2S8Li{$ZGPv3R_{^lnA1dLRTE# z_vln|#c48LbsF@NG$L%}h^Y2T6DwQZ^25v#s)_PA=|Lg3VSGdsSQB>a*PH2!^1T}x z6N2f)wS)(E3iftmggz-bUVI@(9p*hRP(YU#jNP|~gFJfjO|+)Jh6=NgI}$(4l8n)P z7Zm5W)P7PG^4%L1l4ni2-9qi+o^5y~gS!(aQxoS}mWsY1S|vd)qY06-dw<%|5HJ+EJsyu4Cw+<*U}Ya>k%tQRI7T0GN}bnJ7ta z9m&N0%nFUp?!((6Ok6hNsi_{ZTRaq-jWX)r^V#q6@jnn3N);pZpH4I_`lqDp=+$j|Put3A11!uW;LRnnhbODJ#HHT^iowS62 z>h~v+9(x=N<|cHPKQT(F+0|;g28vINcLAoT(6~&Ys7YJ=S4LjysX!2p1T?3>w!{l2 z84XyUw~ZR%(_ib-Jb@OK(vn%jqG4Gi8k#b4Wa1`wb*fbtT+E~>F(srkf6ScDB`u(mpRrI*@%tbpeR#Z6|HT9$K z3*IM|^9$6^IgAAC%ro(0Ns2CE`pz?!?tJ-FsGw;TIh~GR4tx?MF1cXSpESgsP&>|J zZp`(eGl6#)!>X?`l68Uy2HtnJ%ESGle1AX_ z@b8x|qz7Hz7wu)NpNh23hPp)8`D5AHI5CObcfb9NrB6c1&xdt_Y>V;|xgLV@RyzVs zU6h{<<;Md!N6IID&xwQ-1o`P?j)R1}4P}M{Nq(t4)d|5w2D67w z!H_JKS>4o0@d8TYbWg>as3L*EM3|O5%ew9vVDZFmZ#S0}4^5#e!acjp4*QK}l|)#y zB;vi%?~~#s)ISxJS0`}2I1ve)1GEhZ>~yQ&M#XtI^GnBfRewYAWApv7{?q*b;McWL z#=}3a^fWP3zUBK+oo@?glM4&521bGLk9`I6q%AuJ$7)6M$(US3drN4)b;@;LcZRrS zJ19rPI5~U|#i%(Dq0aKdG28ykBXe88{B#1syC}iQn1W|V40Zz3UI>kd=x~+3Z~JYZ zpU3-S2H!D6nc@#bB7L% z=EaaM^T2)PB1hY0=V@_nP*L?sM9H z9jqMAP;F!os@yZ70^6P!=3?)`ieY%LoR)np(j4&}75(c^1TLH9605jGG4r&Xd_rWP zMMe`DX`&Hz!u%I3=@gWN>4ZF2$q35b#7q`5lon&yC0fis2k6Sn_Fq+I>@;$Mo^IdT|3G&DC z@I-#7-?DvMl;p*hI(;7{qP{3Mn;X(+IZ~^r)N8dsCzT!TtK}{~81X69q7#RfCdpj) zhmAz}Uutod+_O$aW7CD_s?ssFr;{;uS>X~doBl-N03xm>Awv z=Ysv;bOMjfJUkQ)os4w`KeQlzBY;o4ye4|tPy;`v?uh-AT5`RNqv|Qg;rI+S ziAW(Xz=5BTA&klM0t=~D;_Aa3MOR#?AM;p66ktEyW0OP&kY+|6!m9(S`<(B)Bf-S| zp;5la5w^0)7u(Kt>5UC>Ex~+MXk&Fw$jFixvV0OFs7yoDA&sk0Iwu-P@!)L^az&#d%G)XAeJ|kjVz{)^wi%Mw9z^CFM4rEmawa99e_C1 zG^1u73~fMW)ujS>tmRO2wOqjDIrc=z+&F>t^WV@&L~>*IDjZSlgu+shL--M6^LT{< z^gap}iECjUrMutDx7~B~@}0fvik-9TYciQKO}GeCD}cDb+2?vn(n%IoQ|==wQ5;zz z5<#yVYP*sc`CX4h;=;r<3}&z*6c#$i{Hgfc-=_QLGnw_Cx_#*=WOtPiLxrLua)mVH z^6U2EtUy$WGO@0wOGZ7FJ3p8Fa;a zI7J(3(?}(Gg(QrG(JVyTL(>W7*g-vn^1AQ2$j90fx`lYSbolDYGRl)N=GIIXsm~W2 zstoq%zQG}DU;fSSI$Td$)4nVws$%GPa(=UUMT9?A`Q^J>NRJOo)qNQWs0c|w$JuiKx8HKT#B^S@4b~)`B*F^fJ9IvLz)--pQNR58 z%TJ4EENz@${(G0PQdYnrm`H@&%TGED`MGUS=(iOTk2f%q0rq;pl`D464d)L|bzhTG z)0y~|GbJ$wExOb@d}?gz=CZGwr%FJ96*8Ghg-UX`Qfug7oUt(=z9G{qY(FHztSX+d zm208caL7mK$n9l`g=1OZY{NtFnG2Lk1CgmipK{H-ig{Ak%?DIe`2`+(a;2aEl4>(Y z42{zV+0%@uVy-`9-COnqur-3y&?0IQ`mZfy*A+h_6^W=*WESBa(dOcyQB!#_vEqX! zX3eo^dnP0fpG6Q!s8RO~R+;+cTMU_Jg7*?~dduTvz3yA3Du00;Fl1kaLWv^Cp6y=Z zO1TIvRULu_OsJ4O%70qDd5n*2nJ;2DXIZ-?OYWfR`m+uvkG>XNT9e zXC74HOTWqqK%f>jv9 zK|emRiSrV1Nb%xS<;!UGx98j-bclVOpYN85ys>BWKX(&^T|?0>fYt zC%TCQ@d~Vmk|80F%E9uue;ksB<7p(KRZmwQdt0szjo zHr1xV7mw)Fs{tO5W+)OHdmi@dk!vF~beX{?XGMLYUpXu))$epI%Qswf?$--@yvaux zVQY(FO1HKHuen#WJg+t8I_sK;H^;U9*MH`p8oEZ5i0AXp_AgNt;z?xu3``;>Z9#qJ zffHFf!rDvV^`Wdz>P7_PlCk;Say7i-CrK8m*Jv1;QK}1tRb3pgQ;Lg@;7P<9#sTW! zGj69L7;hKI`&iyYpERUl_znlPb@2h+)*ozQ*69~;EL>5h%bYzq^95JR4X+y-1lRB( z^ERRmH{Pe+nERCS$FX8p7t5`U0K4LJAy3Pm20^%L#sv}r(FIzvo!FWhO2X=|;6se2 zGm-$S;v*~ebn)2~146vHGp*{G=&$Un+FT%cC=``R_oO$Y>l4Pt%F{Dz;p8C5@-ssNs6X+qVR%ogfo15*?H^;r!PY~Ui5_65rAw;1H#-OS)6Dy8PnFH`DT}=Eb zKF4(#{>_p-|9TwFW=i-P*r@IM3=UTnORYFIOVad`)F93nP>h*6+?$nhFZB_A0yu?* z59?tt+_6^*hBgatmwbVVG5+$ZKcbuE#~GnOQ*}QYo23yaoY?>!;ErDDn~Rz1`&U!M zC3?kb*N}+GjEXcOrl~}wxmIkJNq>C)FbFn$zqwu|{fp(nyRj2o_zT5xm@0G@l$e+m z(l#PibYJEt0;qP%DCC=M zSy;w3)G?$qPd#x@<{#+&$N<9~u~Bw7Egd?ZvkEL=#F;kkM=*l;MoXksxhmXVeuT|7 zj5hrQa9ELAw3vSy1P00{;`vPe$#VWdc^AngDQ!A^>8x%+c#K>LNru=qgFMA?Vv~B6 z0oSt+#5IGeDGO3j6`auW_1O`=T;9^|ngjVEjI4+p+C1!46)&k~AH*(KkZL$N(yOB` zMXOLGEq1iuGN3h1{7NJ9ylr?GfqAYh?{9kX37EBRkd#Qxn=emILyX;B{#0w?+v)cY zXzuBxe3);FNtI&cVOO2cE80)uMm=QODt})FMZ&ha>^m)A_*D1#b ze~~yO@>B1HLZFb>`p~d@A}fP>g;$uUDlmke(!i-BqA(l z56*i|#QH5Rhg#Lt;2(osJ@98lhB>WY>Tq#vH zGGwR9*D`{+YWd`V-rmy1Zt{x*!?YP_SayP?%rn0j4Mt3e)57}9qeQdpW)qlw zQ*?UiIjr_LHcAB#IkwA2KfCiBHyevGs0FwJX9uM2ifVJIoB1@>a<~!jUIeXyGFIi~ z$LZj#dGRcygGG%_BtwdJ95vF^AV1`5o_Ol~;?t<;i<(Ubrk0e7!ym(>=y5e$3>W|n z3+&8O?y}9-sj9qN*o!V4D>Ou?M|Li{WnGHt_3|UZ;VhpOBH_8Mcc&rl~H>Hv+MXlv!#e z*k$PUQwoS3FAqDs3;itS(5xccS z|8P~nHwxPuopa0?YBc;n3S5{%3{iXeF<(Ucsv$yun0Z9XfIgBh96Bzm@feUo<_m_R zjj6pT%(9S3)d9xe7g)Jno!ZB!h`+ETvc7xyeR&iKgD`RFCXg(`_zR->>%?KO2q8MW zh~$QpAV{(>bizgOg&IIiAE%2b{KASZlN0MEg*glLqArn<9>t3=`T`x(<<%ou*qtQK z;=oNfav?V!>YOfoRD@|h1dPU6QNF^SM7Kb{B7EDENx5Fr6zQ(|CXj^fA`dy4=v1JiR+#LnTn+y)gzHJ>5XP5gw14R;YjS;0`v zY~iAw9uMa=MmCOuZsY~hY4OkpT;>*j`URip1h6EpU%ori&4dIBzEAptc!An_s*_3T zfI<5OU+W&r)5~{q;~$41DH=Td3R;zhIrv68K|;-{m!BL+F5#v`FBXBQj%t3S6qRtv z;93_7>>Pg2zV}SiV|S6VIhaQ<4p?Xqrabb{OT{SD2{Mmb;B(!oFZ1Qgw`5xgg@!JX zX2fO^1XL{_?6AWZ<;!;*yk3&>)VA=VVFsY#j9m**MfZE+=}#a3W227@+^u-@UY6XN z-fCLvW5-wjrTs%1KHPZ=>y+>F9YGDcep~i@erubf6Ha^w2@&XQ`hDN*bL-rna+_HA zg-R%^tz0Z{thw@jbaT$OafK6y{8cq1Dv2Iq)p|SqWU;B*c2$8M zhdbc~f7kW`35j50v13+wwL*hdE1u+UIOPki-6YedMS@LV?{B)`yYs|+)hRYa;ig~B zY|S?T1GDt{GF=1Ee7X&>L$3~;TQ_~RF9w(XfsT)8f;h=C;i)9Q2eP zw@u%k_je)k zzMIQKo+qbc7J39t&{_hCzE*$B1;0i{U=yS?GZyyCnpE$Cm-`v zE*K_}ZWj%Y&wiwn+%N%>G#=kGlTW;7s!Snl3U7EojXvkePGyW1fzhPAgMP+~Z8knw zdVCT6#9LyTPTnl#N%Zw6&S~=0W=BM^Q&h!@9i7WT1f2aD{ig3%V2)LlN_2+ic*Y_OM2Jm| zd_iR9rrp9VdUul6cUaU-z^v?BRw8^~ye1LWMe1_f(?(E=TIYLOVnf;}RhKJrqed{J zN%N|vFNtzRN6jkVpo31x^q;&@583F5Hh-!Wot#>O?R7~+fP!z+dR4}{!2diUS|eS! z;6|`lBZ1@yxCF>Igo0Jb44B*UO{^b&GYok7B2^fc3CE8J)&K)AH+}10{+@>2sfrv6 ztFy`NRe#i<TM{l?>auTLa5~YZWVI)b$Im4OBr3(4Bv>gi zrgjaMBJn%2q`L>6%TQV!s(pn9Ihx0Gm?#ic^+dVBYJg*fB=jwM*zw|&piuG@AX-!T zG1*s5x#d*TU*{D@citYz3{2Mq{dFsE0le>6?YSNdzfd=?j|3~m1d{LYZSz#y!u2=Q z;(z=F_uTn*G4TnK4HgIgSp3X_U(~NBB7C~uSa8I=-urI2IsKNMEi$u7lb7#e3!E<8 z;sN9@;>ewBu&;YjAw#@~-E7#(eM=S)-l4bl+xDGk%pNa&Bo9u3sT-JW85^wlWIx%8 zMenu!Vf3|0$DMUzHoWehBi==86$ISw3#s4gWRmg}^>~xiL?3%Fa38%r8`#q@(MN=VaDC=c3IO7kk83wQkbA zNg&-j?BnUxzI>&MIGZ>HC7);BMIp9{yj?aQuv)}?l)?&q=F=hTbKO6@n=!4x@@Mh& zjB_5-m60FiU2TP9z8EXWN-szl4mrKbPx&zOCMCeKw*Hi4kK$>h_&;TnU8@zFbnlLD zV-E>z0%6-Hf`Tsllhbj%LR+hxpnAt6&R^Y$GA$fZ)^*Gid!YM9MRTrCAVJBJAib^4i;WiZfU@}R2! zCW&4B*pG3!eECNm1F!f5+!h_L&zvlX8A~k1eLd?34be!pNNcrTV&!_oDwngCDf&E& zJ;|Vp(_wJqPf|-BIK@FiF6(?JbrW=9Vrt3c%1_K0xnx7hShnmsm;gyYjd;_hX^o5( zjF{y)Z}V;QoO1yRQ9%ansWt^O-J5a(W?HsIvwiut=6s6D2NCFz0vVwLutA!?L*(LN>xuzJ>uivC{44pFvN>}N7K9Q>|)6!E8t*G)kMWce6xuf8zwOWTe_Xmr%+tt z-RyRS{pIN{fU(D=3Hw<^2bL3UOIbS8u`|Z%jh!J~FBENhDv5_QZ*3F*=9Kp|Y?Nf= z`3Wn9Ewi`cYk(u%ctJ4DYZjzToOLpv+F9Gp2UvVqC}QbDFPvqO(As2@1>62gd`hq@ z<)pnD){L#~DcU6HAIH@#h|9<-U&qNYW6%IzvVV@8)NB9b(1D-8-0C-rWO>v7_xmKxB*(qwbY zOJ1yNiCzQ0o|G|;80Z2vO~qg`+pOC zk#()htDG>OJgbrZX13G|NkcTromnR$IFQW)74&%p6?-=)z_2vQo>^5;V<}~1b2SVT zWgKhqSjePNSTY!+JynJ#86Ssol0D}33n^EGEUwjxIB za1W!^b3L{uKP48XLw@S>z1=NY9J#E5+bS`8d}#ek{~x%^2LcaB2f<+KAh_b)(W*EL z%42`*lvAc0&`;QPPU5>QVQs`V=3XiO!QKA6rU!}_hZy<-sTzh;H~G;IR`VSWyl4!D z(r$BQp}e)3iI~3mVM%V%i{c`I$tNxDliU>2Z{~@%A(jt%$WD*}yvXI@PO1}4J?KZm zIOD771$PzTUet(wu@`j;ujn6BVJ4N5w8yA8uo zi%%!6^T7rEr>8(GBRvjUoMw4{Qz>#fYWS_%B^2s!yK*v=i zH>(g_Yb3ihO2)Yug|RA;xNd{Dd}iQmo@@hXb7KI8SE94|yt^C_*Ryn}Na!b_VhdtL zCf@NAw|%vBMRzBmf2sfUs)EU9_~@%zcoR2yf8r*uZ)y!C?Zvc+uV;bWnAwLFjN`Rh z7%sk<^hXeggNszapZLj#6I_zY0JZ9vl6jLkC+2nX+*`_ur@9X_R~H)0oa3h}vNqpu zkNo&*!wbTyFi=1(~>;gAfArga_QJmm2}r#Yv-=;O8f9C@r%l&I1WW z?VrbfxQv;qzF`GpNwV;()z@ z=8Pn}*&a#T7Mp%s+?N(PbjGdoN~IXO^w4+ZYL?U^w*2YTsf25~(_pW(-^!O?+A{Rs zjb(eDdI)TqQ+56qRVEBf5(S|@lo>bImq#3>dW#9VEcwuf-G=iA)}J(T7-hPqD(O?x z?z>%c#3EMKEBl8RNp*Gpr{8$|4p>1tBl> zaGG`l^Xp@OorT{?hA0pO+aR@YKv?eb{eD(}{z8(bS&+(u0(u;4&>mvOl;#Un3onps zMN~Z&tcw4k z~eIN77L)-6|jGVLK*OAC=TN@_0s1=~4NxD=EyGLmta$u z*msY_0Nu3D)kh`I3uB%GQhHKSmBp+Vhi^#Q9`irH(RKw`;=aP7>-b)LaSZ z!{esPv$9^7HV1mYUYC;`m%q?G>HKn%$9$uULAP;A!d5z9gPhh!f7U`{ zG?TV=K%A6A|D10&I2GmXZkl28tS?EAh)Se0YGXK2^7rQ=t6&A}k0J2TN$ zT2$*`uWPm+UmN24vOj8fvsaj=0 zfdA=1OdJ-fYo-_Tg=%q_B)rfPJQh;jVr=EpwE7#hWTr96oMFI2e77q~Obt|Xntt-7 zs=Vi=1ZD9F&C->mL7FTh<_jg=6~F4xCpOEeS?2bs*xMvyo(!Ff?@iyTag1fco}`V*!xwNi@P5ownnJ@&y=)n4$FM6DJaE*5Z&O6DD_ujcCe|Z z0vOyN5|4eoCD)je5suXL-e*>&>yLD5D`0~Nn4=YqGNLOP$Gj_Bd)u!m;wyUq#K9@1 zY37i~Bitk0Gd$em_$6{j!U#mc2qESNG%Xkv z^&pC77=}R-46On6u157Jy$d0bet=%ZNTBaqW`2u^%)R%S9?&38)y~Wavt_qsW@{~5 z>sw;afd)!d+mz51h-p}d?$P+4BzT6PlNW0fr8UR3d{*rmAERqkYh*`ZPhf)07ZuE zO6H8~DE*2P7C&!DAtnWkv=Rr?MB$^_wr3FdZ_^j}j6zF8w7gZpKnh~F)m>}h|L7oN zMpH)jN`R4*;21<5W~f3}(33~_qkspf4=K^|0}Be}224SR2+42aJh@`X@uiIKG4nD` z#q;OiRyhRd&%bUvoyh1(-g3M^6?93=r#ptYe}CUeQngKUAxY-Bcld-(*9E4Tw|w8g zv7Vpk^+S^)3h{Z};WHu0i80;_4eiOnhd~yR)-;_&iX=vX6L~8yzE3u;z$m6EUnM4$ zBu z`gcW{?{c623D4N4gs()l9yz03F!-g*#ns?rzNXk}fjt?&n;1P)hPSHhq9d!aAw426 z?-)EEdorefV3Lm=r!0nml=#!=_;hPPyRPWPXfsDU5jU>}pFpJ0176m`p7_)#GBPIs>lcr(K;Xs`wPYrT&!D2OC^W2wMr>)Ct)@m(iG|er$r; zNLNOwB(_OIq846LX!q6U-}VAMC>3|mippBHiAs{IA_0qj^U#)E zR&F)y1BRN>|C&Ld3c%hh%olSr2)sjqi`^Xa<>FR<5m4dukhfz}mKp>oSzuytJRl0W9+u7X}- zHep9txVJuIAdo~SmTiE41iXs z8+YP)DwoAx%8m%#Olobb;kc15vnm1Fa1SfL312?7%G;#Ewv5^u)_)$M2Up&;x0EpkYN0fZ%p5P^!+)^lo~C zlw>{etSt`TUDI;$V_WTE|87Ca?~VVRPNfwmi!n~kjs@wmij|6^Wuw=n=4^9T%vp-w zE2sf!Lp=<~9g9WFl1))Iidga%v9@S38rU_4{(D8$fu!Oqta!;v*Ck)*LwzoBe8?>N z%PE}7zThfnyyHM|Ug=;2DW!ax(&hP=e3Bwe$}X3mhD1?Aw=n7Xl0eRi+$TC-CXwmW z-xyLt;DpAd%rcg99nWOW0Eh9=lGY<}#O=xqA)%`fOY|#-f?cT!u1WJBh`7F?0Ek)NH6uv=_7idb z%#gA@lpj$D`8WE6uVVa4mBbGr3Cq3ML9r8yY*v5Yo04$}RiJ1S2!dh9sK^pYYv8UC^HH0c z5FLN>SHFhXN2K7B#01)6gs9Ce`1jU{#6a_?a zM(GW+8cgYJiH1!bBXS7jzJb)aAxPK;GUv7t*Ib2b9>&;IGwcmRhT5b4&LNmY2-eN( zmSJa@IWf;joTB*Bhdyz@)q&StvN{JVr<)BV=R!(F;&0DVu`zz%NGu+GSQP?t=tA!@ zw&>WPQVVngTMUH{;LGDOnZj zG)@qYsNr;bLG@JLbR}nbB%6dbil>;kytQBrNcDQ3VwibqV$buyRSQ71jUzarNGeen zrdZGD#VH`%UPwf4p7l7ZO2JhT@Onl+c=l5i8E9Qg|8&x2TdA4RXS9|vaU~d`r^iHV zQKEF)Abu%odqc}M9r@Rle?29iVB7PaGsyLHaChvF5PWQfw~%N9RiuBq z>ZgR`Mz|nd^W@Dn1J=}L6J29W8$2fTjre&GU)PL3dfK9-vNN--a6y5gLXHZeSk{bn zZ?$zPP(i|yj(gc_ady6~8ZN5Z>ndZTj;&CG-Rrv2VKqrp-DKVIAh?~RWZhw3S@+cB zB-3O$j`Fp8yF5g(@M7cMsWB;-Gl1hhyLhk(X7 z#_Q`VL_NOsF=Zyxa5}MsZ$u&C&%7`U`JNKnP?_kCKp-so>ARsve~CC|DpsRRfB$DC zBpoMU%!Cs%2s?BV8xm>cCN6~5*bbv8#%>D}he0U>w=zy`S~O>x(jv460nLlKmu<%m z81xd+9VU)E7c(2XNg|q{8^<9dvYxGgL2DkfPI^8hL^p|iXjD!RVCP33{v|0l3ec4V ztdCku9hcU>|ML_=Ha>tr6(-DR>4!lSFqv{J?fbC}f}n)|Ah-H<>>4=m%HRJP8jB^8 zF^o|Z6`}yQf0*D;RKTQSZZS^G4(fSn_6DmL1-3_>Idp8y zXoPvB0Y0rx&#(Y9&+oapy{c2!x zREj02mv|7+lh|`f8$E;k=Aqj$RnL%lbsRb!$zu+N=lgLILL`m7$Y*wER74TaNtj0n zifY8z7dMnWf>m{lO$k-d3cSz*t$=<3F`X6|0*h|iiO-JNiAVS{7t4cr_7bQ8Lo3Ze z*=Agx3@j0;_a|QxC_W7;}Mr+Q*fQ$L85_t&&Zhbez#0Rm< zgsPZjIvoUY!pRQ&#AT*D2UuFFB?AZBk)U#M7$lIs)8p^|-0}kO1^UUjALxEWVrS1>+77U1&{Z_;2Mp4V zz$2KT;Z@e(vl&PSzK)q!Ft!unqS$xYkN^t$N$9dKXg5rZrs_G3zC4%;+MgeVGL6{c zw$HuB69nu*uX5iDeP{qoO~Z07$wdJt0!-)<*3fZn`781mog6x3Jah`1)F_5J&l=Rl zDu$S93!6S+xEi*vEmk9+JIs&h8|%kGB(aZi5b{a5Z+`!04A;k;xqPy9!ITpI%$&;@ zi_1hATzZbor6Y{*fL}wSD>vm}d0xP+=S6Oa<-jgMui0l=4wPq~L4xU|5}rH8Iqj-} zY~%A8-?tsml5;L#jCcf2L%oRm&5%FVm%0~ z8RH&w*#U-Nd*FUPi@LHr_$0=WffKm;-LG1?61mv&4fvQrXvF8lkC*}K{Nb}b@sq@6 zz{Ox}Q&yyLg7~ly?`0>m6s}K{3gU=K%3@xb=y4E%NjwHQ@Yxz4CODGmiG>r3xwwA! zs}AP@lZksFV~$aR(Qcs(A1oL$OBs$eKEGpU;M&E9XwV>pFL;5N*qrsxm*(j;ZRL zk6TOjTu6(mLPDAAKw2}qV@|-NPgBoW#ghu5C2$x7655w-I%KF)m)nNv;f@2k+K)Xe zAQOvgif=@yv?cs;+q~vQomQyCgYz(buxg10WypUj;3!|uHK8A@io2Dam3L>g2w6cgF`kLBj?P%Xwy!tw4qqBL}^==_nH1Kyi;D(Eoow^ zlBg;H6XC^#3YXVm6-A@m6{UP~RX$=8Jje%qdOR@-{Q@r87ro@2&^nWSRV86UJP0=W z)qS=#D-R4&co*dZ$MC6p%S_P=P6H`*3PzH>T34Y=XfOmYeq(aAQY~>)a|I#*-1aG$ z)#GJ(%q-8URT$<0WA4U5dsh`ggU3iP2HlwwXH}#x2i1h5Oa{vuu^~sdHNI+_#n4JR zl)Tf>nOYm2sz4$L#M^4|!oE!<=36bHKPs-PD!d#ml^<@b#`OUpWi|Jwd0&UQe?ne7-lM0*BrVTJLyIq4^Lqes!W13+{dB z-U8Np{w=8y+dq1W%m;ss>~BATtsi3hO=N%QDDD-#5dz=wpRi~T2`El*|H)IVI(A^L z=DJK(o)9R$&~(;ht}_%Q0>d9UYjpltW-VY2t5!w(E;&G#s25bEhrbOrq=Y%AUI!7Sqo?M1?EtXQQn@O>NdP)3tFpN{$D z%r}yz%QJ?}xyj@$-)Y~GT!623`+^YreJU;Onc&VJTiIJbGE%5C>-2>I3iKd!(TuZd zhvr=DzP_=dMH}+^zoxz~DtSoP9Tq8h~-9@AG+=j&U!qmeP>noD2c6c8?R<1d3TE)(#=p&=n&%g%Tk|sp5v=SFLdAJ z#yc#t9Ll}fKQJa13rX=#H(6WLhcVfclV!W^TbvVqc`Xi*Pl!*Kj7^-d1BxRQf)6G^ zDBJW$>~xjx!HFT8zIlS&9YR6>6IZh*{<733DuadP6C&en##vDsY7E-bx51%qt+c~k z#5)J7zYt6OnOJbm-dD7;;g#~KB9^^c`XgaL9%;UP&46#7`_Y$={R&(1D6WU9Mf`0Y z%c95qo-RU6y+|%kDCOQ8d_?ZyH)(0TJHo1Y*<-p~ebL}g-fntHiLHbMcU4=l{T27; zy|t}Vrl=7+niqJa6rCwFKRNnqnW26esn22q#C7HcvRFOL?{z3OKiwu#~% zhQq64zPvY6`m5Dcy|E4Ifv-PYB7H3319Td)CC&?(sf6a_dJx35x}2uzdPvcGBbqKi z>c-Mc(+))N!8LejUV6y(k-82-fi{qJ_=-(@N)JqP@9N!g!tZ;Eov++slBve`-aI6n zclVu;KF|iJY2)`!-7a1r6T>IA`y1~bwfdPZ>{OBzIndcq1WFGKM4|zm_SE$$v!Kby zEW!_rf`bw)uuw1QELGfPS5<~Orf#?u{1c3=WzHY~SwN=0IZJ6_dQ)gkzOWxUB9`sN zfm1cnQ3JbdFfuPv>9lBwzk9A&?+bT~IQ(Gd%(G}EBk|T+e(Z-jV;5Z=ZgzrdBz(7# z9)dm341L+-PjF_{{K)&%5!*I1Jl)7biwn*D@=3_J3J`WR`{PfjhZlk-gQ<#^rg=Gl z>Ct+hU%#{r|L|wueJ9XLG=fpX?3-2xUD75}G_~*FOqp$+(yd_8=eR#zl=T#ltx{6ik$DPoqP!^OkycKs zxeTOq9aa;N(0G}jL>n#^1ghrD1e$8#3412K8IcFpA#ydl#8Xru#i3h0BPr9atQ+Qm zVOXjv{@?wr@4jm%7tGm4cg*_&s&h`SPD{CpUmwPm*IGj9N9XvriNW7)FuuT$x0pBvho-WaE9Y+p6hCf)Z&lL*Ots2Zs9 zgkr53@btPO+&9eLS!Gvr-<%~$EfWjjG^3X?4#9nMwz7O%DvFTXaCL)4AL&Ye)P@9N z#~q2hD4*Su^DW7a^^!75VRJq0DP7JFgn%iUL;kgW>IUb~RaYhRwo1v%nCBCN$KLPirpcPUru@Miy3{;( znk3qpQ2MC9s=#G)gbBh&DgpM~w5t*mADRyRW(JFQn;v#sbEx|A$iq?fK>S*1xu#xc zp7TBa{lQc*DZHDO$(iP69g9xidnVDNi~VZq*a*FCzJ?$dL@<|$3`Y!m?ik9+vKlHW z2EC+DC&{^%4=1MiOK;}Q)fV=0D>3fU;AD5c*Qg3el<)zbcammhId^;97FE*|?0&^z zM-1+RZk6p5{z*B$M(?woV7OZ6D$UAc*_xLDN_4YoGHs8WwEc2JoZ2JSyLnl+;E(gj zQ~=HKfRE-qcue`I)L*_#K6rl|%D8@LUoYKj51HsNROy=S^nAUfXhM-D5Jw(p*Dtw=d8*cC74G7T~a-G&vPRqTBZL(!EJTPa>hJpdX5!%Am{kk1&Pqs zkNqbquM-(=d|e9dgTY%#MWzPo`;aSEc?vT> z;Uw!))1;-^Pu>Y4KQ`QOU2L1<=-XQ9uskt3f*OlWoplGW<^K4!zN+Ce%&WD_CAOltYfk)H8I$@h<211I$q;?t_pn#g`OXA zr!5LiTt7Mm$5CvIVFRkjVw35?yDXC|%PbjLPi5fAOuo?}2Pkn?@3NVTt+Fs!9Y?35j)E7n$DR z!>JT=>8)RsP4%Q4szXii3Rut)u#0=$nkdSHHR0^s^3f;oF& z-X=(t8p@R6P)1eeo4nh%pZ^k)6%|$!6Uj%Zyk)ktV^cS#9}Fi7BW-gOfJsP3`CvYP z<9h-Z@1Z9g%TJG7hWt}W(`9#oYJF5{c4`WqhXy}g*4TB2rJP;i?p$4EZWG;)C;N@3?7F@kS=n(#73tKL>bNZ*<& z9baRe9D1_|A~Um8HFai+%{NhA+87n5pj z^)ExXBkn@IVZuJr#4cubT)J>I{P7Kx|HUu9`|c&r57t^N(*hY!46}nwIT{<55}Gv& zFYXBMpfm{V>3r8&FQ&l6cnqwspcoVEenkG#Cx#OTG1IKiloFj!nZ7uuRAqmAF_lBg zJwi%~qffbGU`K12C9pQbZkJY#01pdpxj3D~DvR>6vSUR!H+{pODl@8PK0?6Nd8M$= z6BQ!T7wDlWPIKLg6i;JE{K;n7X+~^T7~C9+4hbM$**J8@-|Hc3=lM(kChyQ(5DGj9bU4 zRPR$Y!=VcKxlf1g>WP!!(4XZurl}|HVvh5l*5tij>_`!szZ?k(Dmu<&8xkrmg?U`w z~HpgnWV+3NP=5dM2V*u;v&TbG7FP& zE~Axl1KkL%(?O@ z5+#~>+L$bTTZq$HooCimQVMJ-M`WlZsq%DLodDQ;C`-Dd(bH&FO9*TMeRw=r7~`|a zw{prijMNqz|3H||^py98{CZ6H_0S0^NUQ<~;z)vyl{U;s0&ErZMm1lSeD&Fh+r3fb zH57pd-60&sBCayJ%e74%S%B>D?DkI`V%+<0lJ*H+w-zHk&&A_A=x3tDiX*t_r z9G*9;zYcmPBU3J==OqF4(ZhM1Yd2Weo6QP@y}jwt9g6?>4>b0I!kg547R!+;^jDSe zNz$z;!?=<5sY*pbPmT20s7ei?#&R6c>FX;!FU{kGaD5+)pyjOjecNE zhHejsHaLM$z*Z=4^16{l#fmLq9~`H_VWRNewh?E+Xx+UO%EP&7G2P?OX-4RY)IcBF zazco3N~p;7jHt2P9g)8-S*NmI_`%C&<`hV5P1RVT&6IWo?psV8fl*p;=lE0C5{x@Y zdo8#(WndLkS*}|qyf^);L8g4gK4tRG`DMmR)-81<^hQhndzX)S8}#`p?fAQ-s-cM> zqRDPeiZ88L`xUQ^{f0ba>hE2Nk9Ds0)xeicsHgICti5Z?0SoRsAzxqZb&Y@XXRFK| zIx9z+5}k&g`IO4L4kbJ5FikT7(sXshLeN|kz-TQQVxAP0b05=SVp!5sZFfx zsrcTGg@}nFDDFwbbV(3M*Iz*;z*o#ju)(?iJ#{-iiq$<+Wvq*Os^osaA=wgU^r{hB zYobU1fg}NYGYFB^hQfPKNWHb=rmQc zNn@%ES-4J%ygX_P(N$%Kc08Sx{I+s16<47HP}TFg{4`Z&1ffdVa;NenBWnF4W5Szm z(J(=`#=8Ex?i{qC)sEXSGcYQ=U)ymP$-%sP!(P;n@6`8oK9Ql*`oR6_(Hqq#`A+MB z^+hAFiJYJBQ!KLMGst@)5nPc-#_3YVzbVO*s(jUcxULNSo7i016szp`_X)&r5SYs= z&3u}TY4IF_r6q4v59bQ*+p8zBH211c8iE$I>$EGF1~i}ME+TxeXmt1LCs)&dkMX9; z(baZwX3kR%3-|l(uBtywKqfO1eK)i_c6I`yFKeBNhp}A>kbZunp$La-_Ju-@`GdKm z1vtHkzQ!DA#}1usO#4t$$iRyv?%`*2C z4{v1>{y`3?aGE{WR4|pGQJxs}Qn0?KCSEy<9EJ_Vlc~OHKAG!n1{~QGv{};+y`Huu;jw(Pv(4t1P5EBDQ!r3pjv(?+bsRvKa|P$ z6a|eGZ0<{_8ob$;-FJ*gsaR5flO9TG+!?2BkQ{uFOLA?RSJn7%w=m1GE|rYxB8%qv zs`jxdXs^IUzr)=uyD!un6He{_(ce_O)f_eCxDtdEN4F7Ij>BN2$iI!Z(q4r6t;7%K zkS2n@t7xn1@FXXZcp``S)YidGjuTvwTLf64R>G(+@6noq#GFWlf;sM^H9ERU$CTIV zlF}Hu6h1lJN2oAHb2*`O)p0n!mhPIJ>W*h$6PaSkVuq3h{vuw>^(7|C38LFrGUtZS z99-owmMjj|v09EV(PWP8Uq@Ie@7X1(zem_bh_!SnY-=7+TXc~>cb6)IgmkGhe!~zd zovVOY`nU*A6xRtwU2d>LC9OPawT%pknwa7P^|gv^P&5Sc`Q_5)8uk+6DVA1%&uziI za|M7<5F`ncr(j<4_AIEJ_*BCWTE3w11^6u_XrTjLYa?kqv;5d>8G;dLsw1uOFUK~- zsBPKPm-gyE*C;VY$mNiL?VJBJktwqP@0z)Z^?#nRsZV!4A8{}L=Mmp~i%Ec#pNZQi zF0KA@%BOT@a!^_u=yLm-zM7`~)%rku%u=#%?jiOvV4CUSo4Pa~Oo-0r<5gwUAO`Ze z%m#WxGWT20#AKGzNEMVmRD>Zv1_ zU$UeM>+*QS58NPwoQ`WMII^Kknwwz{S`&#tNQlDKl|+sfN?WSsys&B6=&2=ru!M@} z1klfL;&6H%I&8Kxy2Tr@eU-koLr21)5GJ8!gKJO7;<(wBUp2Rp)IK%P99~n^Bd}_J zy)eAzsgPIYUU2!w>akScl>;s+)>gk=O-PjvSxy9Stjea8Ny)nttIIuz>zbRcm!9u% z4xoeEx7YdpGdAChV8QO`H&unT}gM0q`Yy5g{S~|r&nA_K! z1Rb?tDLq5^aLH*M|F|NM;kt!7O#RkOH(4`0r#O?EGl&hZ8xV8k!d(;FlpA*QYx?4< z>beFi9~gLn?>lOXyg?qX=3HE>Qn3(V$@-ZQJw;0s80$X@TbE!06cn%HJ2VN|4aJnU zl^(;LNcxJTuC8l8Dn4ZHjCXii@fD-X(*;)sdb*^xsdk#0^>3r21Wejdh4uSJ+zW*- zZut9C2~m%Z)*X`~WD6#bG!=RCpB$DhU@<5E*@?*c0+_uDbg=iFdMfb#~ElcV<+ zhzBmQhAqz-1!HI=w@!?m*!`GklVY#IEW=A0K4d(Pz+@)Qs*X`%dm(?C~U`)Ef`uD9$Qc_06n_m*@ch&4@3uJ2CR z+rMwwxz881?s|B4X1=z_8h>36QmwQDHYwA8RVb_A9 z9bZk{CNG~$$&9BMRuNg;0?>%5oCt$35kT_oTleMp%znMM>~EZ^4+(cWU7a1kW=?O?}>lI9MUKf!1FxcJLWH$8MVmUHgzuCFLSC$s1t~#wAv}mH`GuoHO#Jp_W+lwZ!0Tn7m zy=_`ykdFK)tvwGYi-T=|lm&5MUp6$xe*P`J70Zf(+P%6kYzfWC>at+^8pkveG^q|~(AwZYe z=ifH8&YKU=)o>=H1JQ=C>AG@XTXo(uO*=Cj`%jJ)TcNexG~9bxkKeZR7RE_#dH8Bu zmZf|lZ%!%%4?4nwc`kP5qxtWeo=54Ne-J5&NkB+!r>T|O(ro2{_QM$6CYdIm9LYCA z?^T*-yZ#Vgt*lnIm zY6K~#157vfeM`hSCRluuTr2o`w^v_VXG0K1`33V~Y>RQS`*TWsH=pCAe*nH}ryk-9 zjMl_jF?Dn()tL?mgx?#ngR%k31_UA!e@tCg{bl_8Zya5W>*SaZak2yhqXpd62w~ej zF>nLHM;n6$B6qSPvp(Uz;)Mm+vBd%$dEn=r4zCXEz;>@_TwB)zf$Q>VcOR|7i5RIP zo48kp(TJQx0?)c6HDjAC48{waxg))d!aFAEz!Lz_CAEd^9{VK<7AEpU8Moc&#$+FQ zzIR3E+TcHftSxQauFFRS$G7hSk`aCMitOKq7$W`=9lI~xtB0!NED`$TiPZYltq2pWVtoaTP%O!sr10NF3MDoOa#uL(wuo|l|Ift zPBecX(1AYf`=(K=v*G*FA+NnsZwaD&auE zj;U#w=ISM7pQneh#UOQdUcG zVKK%xXLCU^o=JL^I+sVkz~02WQz%ZF9yD1$k`cx?vV^S&={gj`kJ-O z4ql}%daw&x>U|k9N&ngmhqPOGug?U1#o`KK6f#$yHQP7XaoM-oHGdvsq}lO*{9~OO zZcj(o3L+UKHEmDZF>vRSu`l|UO*@>dA2-GPNqXK}J>Qt=kGnnVPccuM>Oi$?doYd- z^S%Ed5Va+)HfF(M3TVlqoIKeozQC1VTqVRr$~QlFl7}pJjF7YlxXtWgKbR80UO_Nr z{w)G;ThPm6p#j;(eo{4 z>GUQ%JC{Usa5IQ>3`XZ9_3ed;dmVyyb7_Kc4I#d%&V+n2^;GVa7^26MWRZ@oaY-D^ z6gD7-);GuF)TfB~)FZ_P=%4BnW9Gf9DYx~MGo^f)?ek918|d4ROTR=i^^=JU#-ENJ z5px|RLJPk+(>y_8X^Fw|15`2+le~Are(2XVEpMLUt6qT+sFbQxZ6!SlMD`3c9|bo( zx~9VJ5F180|71*(SSd=9q>sgeH6fw3qBJu=TIHX_*$lMKipO0^1QP*P_ai@v>LT^at47sSNWtT#mPu1R1 zN&4Kc9+s?Bo>5Ve!vn&cN*Wkg$u|*M=T)Zk&(qcU36wTzr>H!qt*Ad1vp|aYu-;R* zTWY~K{UBSDZe>d0^ragLRr+hXfeUP-Pn+}twTn~Bu8dnToPNGXMLGF^2+dGx^IGG6 zT-<~2aox7*s=OCW*S4R1Pi|)P?a2^@_3esp^?u4-%k({w(gSQ}E|S|nc6Hh-&lOCs zNO|WvI7Mmdko32Xy37fbW%tFZ1Bfso- zWnN`hw1^&-FsDioV&e9+Y#HJ+Nd@-~r5^{hbXgNg1bQvDm>BM@vK$zsbl&LC8?==6w~A|)$Y~I1c{nbLg-rCcIZ-iS{qdknHjpo zwqkty?U?pW2E}nTC>>}(Vu`IsH4aLU9p0GensNKp)$};xny-2#!GFfT{RiKD$Hci- zN-KO%=Y~BoGY(_E;gpv7=R<1kpUo=APbh-vr=m;QyYBD8d)~Ar+VSDAwH^83lQj0c+HpMW|W-Ahl zv+#&RLxwMDDPB{v1kvVLG9h?nmb`$VD^p6aCF`v%zIHe^jDYdrJ!Yx-{9iNT2&AF% zVH_BGdywRBl)eIyNJBa4eIvAX5N0{GjJz(v5n0m?5-dji!y>hwg{F|G$LXLaV5HJB z>;ENk`Z1)rWe;j}0km-4i6(d8jb+vBQ2mS^{aEr&580hi{^O-gaWS?IeesMh2P-QW zP~kUpqqvb1l~rY);n0>YnNSW}Uj+94MK! z!-AV)f@=7aOC{EXX6EOCCjC?)?^^Rr$tq&jJ<%}aKXum=y~j%T<&iIT5W6hS0GXu7 zk5VZc7#f7;W`9bwYJfwZo0|LxuHwe&zCSP^{JC#hnaOdTeaj1lAtP#{6u}J4ZBt>0 zn+EN@=Es(+O5a3o8K#tAR_91INvwqlN#l)aZkrBVX6~Oa)h6E$*w|)8dyEMEFf_@8c4;(S{ED^dERMH{s(#wONtr#xtkB-s{M!)hc~LD>UikV zg)#XmugaEwuov?|0w>0z?p0CA0Lcj1LvB8Z!akPNsU-ceq)MYfY@JS(oSOGl$zUug zhzqpyK3aLXEol2yy_jeRs>X~Wq`auFWP&8T;ji;gt zuH~hKF!tbUqVb|+GWJ-(^Qqu%De0kPvM7oDwkV40JTEm0hYT!w#C5hT?u^A1(!>FG zj|?ju3x>L&I~G*ION%a`vw^cL8e08JIf2k@stW-o>bV2%vT&peE3)fl2*$#ZE*$H^ z5`SPZOHkXG4}qrZEsG|Lq9NVcB$QRw!5PcOhV}zkErd5NuYezLBK&1x=ZY5=ydJ3q zQRNd|-n}Be>WZsN`?fCa>29kGG`lu^Es2*B=-CLCWqn;%_6>vVTORvU*>G7l&}Ahi zFS+itKNi;;)D0KiST3Q2SD|pUEDV-sghlg7!J5Vv<3Ax{W#!zNcv&HyDyUtJ^%?)=&$Q8T<%O~Kwdkh5 zmrfV@ZI)mL+ve&W7@y3!%LzSNNhCn~T3Q>(k3BB6Hy{1!%3T$of79}%NqHGeuio^= zrffAm5r3Q4f^zS{o&8!iW<8uCgxw+b_S3e#c-q#H!npkyV4YUGlyF3OGd;wgh}66q zS(SEth^L3#f{q{ykWm%$E3BEc|xUh}afBiseqa1_sDzVKik3c)us`5w9e%^_-p<1wjZh*}O~P4Ze0 znU6!+TEw5P_~51SpPBG3hR)#8E|4(drro9O+%1BX(vYv7Go2_R1Rj%Fg1&8tDgy11 zzH@sO7jm}&n!GrWfU5ILme-pcEnGoStH_p^V0<)n2Vj;~@+ghR5gMRdKNT^R49O9D zoK5UXTKWw#S1pJ>)~0FYOx(2Po=Lb8Z2G{Xa31mx?uMRX2KCFs81Tc)l|ql16r+Uc zG&%ORk-fF8${i-3dxVy5<`*UAS;RD*#-A|^r%Eqi6y;4t7q643(wCILTeS8Yhn!D| zn~Q+0F(I)Pxsr2Beeq0JNI}l9Bx^3S+! z8%$N!)EAT9G8b_=NW?UcDb?^FSvwrnLwG1w0_JDL=~W(&Wp3_Ev4Dw1k2waykg+!V zJu$io+G-_Y4Yd;t+z?kDD7M=J&1FoChNZBn=V3g|Eq7E&fFQ2XTy5;j*JCq2Yjnzz z#K%^L_%sK?>R`1*F-jo9k0Z&m7nwxn$790d&=9O#6}Bk-L<5mL&o?qzoD-4lMWp<@ zKiA>(+9RMjp1|C)IES)QsTP&ADBFnB->}HpGmhlJ&tXTZKaf z8JIgj$EErj&B(=NDe>Gces>-XQL?|4n1Cb(AOM+9WPwP2|4GE4XOTx09m%0~-9fP3 zPZ}*dl{~5#(-^<|B!)xi>xtofqTi09DIKI}?msR&Ye;IQpGb2tP=y3b_k;M+h<_o8 zJE=w=EOqYX)QSa;gzT=EMjS|JDTkbWgtWKo?Z5iVvVOFl(=#QWuIZtNUU1)ThfN9z zp`wbnO()lH%!g<2&CYj8AlmhgqbSHDBo6-P&;KpsV6BeOb3Ejm?V)I@BW(r>Bq)iQ z!xJQ&k%awM|C}VsJruH2df;4i4La1*ikc=))V{{~cpJ6wZ-MN@Cw9ppE$w&VzZu7_8UNe@Q1GYXNhdIQMIx3B{hXE%S`a z1Y(t?;k}ikEOzGXHT*^ojsrv(Gw(WP!fbJW9jzbJ9tTlA>~p>jOmWB_4G->V!$d5nMJNNQRZiBvU9&ZM% z>?P~LF^D{s%vQukD|vhs#5|=0#elUu>kg$cqdl(Lbb>F9+*)%o6jexcn+s&NIzKUF z536ZjZwvA}b3SL5iXJN;XBVF6c9`QDyH{(y1g{85Rh<*n^ROv@_Ycb7{b#rpZ~Eg* zt6eiWz1s5VH(zYZju}NyT(d=&Ak*U}{ru~{{xu{0vI{onbq~fKE*HYT?M?W2HC-4S zqaP3EU;n!Q-JhR6|GLKS=(I6KOg)(Wace#<`!$1Wde+TImM4S$o!j+?)q&-#CT+FC zP!_uW^FL+&n}JTpH;ilioj;=9-&>;lcalviJ)O)4=DOYzwijEjNohG;e3I7?mZ4hJ z-A>xdDZyKZbSEK==dEi>W*GGLMbOtCtq9Ukkf3&i|I;E$#0UP0|Jy2!jCcqdPgTNYLu`;Ke8wur}qj2b+~xnHBj)8`uW}QVn+ZGxi^|VsU-Y5l?l5t~H?I>-I%% zesGt~<5ZO9IS%?}G>o-uI{n}k(1BKWL1fwoPj|uAU69IocM?B#8XHuzE(KRM;;Uxu zx$|R9lsiDPfF$x#S~VlUUs5&l5T*Ssu#7` zV|wMW^EkE=8q3y0kJ$O0V26DVDPWTxcf)Z|IfbS%xN4E$O?ee}R*!C1}QorQ~3Rhc%(*N0TiSuiuly#@EIAPNqQ zPNK=U-fAw7nNoRd4_6vi?ZF#a&effDn0iaPTcvw7$WVIfab~?~e>hh?O=N|KP9QwG zshh#u(@K9tP7S-+rO$e3&@3LjVD8kNTCy0db)reKhvrghR^mEFGb`O$$jH`Ci-Z(-*vTwLyw)gEi|LaiR9`%;oV&akLy797u*=bPIq~|^Y84W zRgYy$rRQoKvCD&JoFH#HewQcNP5rdRiO|0)67JO`-RbrX0mlDz&Aw^|HDh03d2dbO zpZ`J|Tm|1tg@tI4^&KugI+G4`z?P_xa^=O*Epi-ePGM?V%=oNDW6|oM@s}-JpG2uMXJPMiKgQb1_xOFQ`RhIw;+? zu)hZZxy@e)->>J^iALXK*NMlujm1CwvTZO#f`W>K+gTD#E@Ra_r0*K%uKJ^&n0C?8 zV2`e)ypEw=m9MWB@$!g55&dYF9WL=iQj~_db7--q~wJBMc-fFrv6b61ZRT8X+WZC zP8}NDrI)<#^U=>vMPWgYX{xe*V`RzH_?|$%&;l7I3srWV2~HXhc&% zx+CmTAy2-Cw}-b(1IXCMuWTru8fu44UP~M`eG#kGNOmn${V{_cwhyLI+M})bqo6IT z09WRmqa~EE)Qom(#4o)nG3RypcG|!ZCAG~Z`(j)7_p&d3SSLZuKhaf~`=#y7;G>Bv zwXgEMuswJW_gdXlLp6xo_DfopZzd4b4hez)c4&w4d3QIVA9hu96gFz*@vc=~u!T5t z$rZTCQ^9fk!jOY`$c#xfQ=D(*@&3|25B0tplRPpy0Taz6E{yp|U&~7IqyObmj44ic zgIN6Qyy_ZSEPKYkbw%?cctIb{{L{7?I>OCiXesT$N8unIc-)rVl%!Cduz8D(g5}SK zc9{neJlU8E$AMGE5IHplKG$kb$3yvi$OZuqS<;sgc~b*8ItsdXmeplA6llB8w*_&& zDs#0;>J7d#apE0l+^Y8-S|%0)!`>uO0gcv)xnT)9T3UT`xHJ4b(y!VH5D33#%(k51K zal~>G`7UG)s8c@lci-h z;HWP#{_>67vESN~t6LJ^Rr{@`_~n8$cHlYZ&3&&judw>LG}A*VVTAG}=w;3Ga2QZq z&J=n8s>=VldZQ*ZA?0RyuFg~~qHt?Fl01B7`j2gcyOMt3N?tb9!6?oeB?>Zbh|%~E z?L0nb8!mJy?jXh!iMwLNFtd=aR-b&iC?*H30-KFpdL)hD}sEd`wV_@iU>SKfI#KzP>0tKxX@kjc_K@6C66jEp3Gh zI@6~(5tuA}?3TtIHki2s5=TELrnWv<`+l$lU{>cC8XrZ%w~Bwl8H`)&jY{&yLjQDJ zb0-{blJ#X(uS)mW)l7SqPGeNnJ^PL7d;u=&fm!g_-FGQSU;BRPUF66dN!9V&V?&2p zR2JVY%>#T2iS7|tcK<6VY#Yfsx1}e$2f=$adft`-`z#(X^7@n9tuee&_LQHxa@{*F z{zhJoC6mTIE>bU-u_13Ia;N7eRgMo|!`I4t*64B`Zz{L@8?&=4@>WOagJ-`-Z1@H; zdjikolttd?(WDmKr=uT&!uy1-81HLoO*`jUG9gw|Kq8nYd-0(hY2rU)YB1aJg*!5E z^A>}ue@Q|a!uT~?hsJu<^rv&SMgoALMGO~&^|?mfOQ(pzIr zfB=0$Brj$GQ^}`%-*N3#o;}AMtASkvP8~m0zN#0M5stRyIA(6-Wwm6ic9YhQz!xg| z*^imscus=njdkuOv6C()Rup+ju*i8Q7!*=#%D?%X_tThMo5@I+l6kHXk2SKqW&ja7 zR&SdreW1%Hg2-`k8_utH(=6O(dgF!Y$@{(|o*>t`F1bxsl6=i#Z3#SZ|#} zQRkF%eJe_QrmqbaY3SZ#CmrQSlS}9@(qfVHVyxEF1y_kPMbvON67V*R!$@x!g-}ue!AW4r~I+nIQaW-(6LCQQ6 zmAr#6+MJA2Nyh-(l9hy!#VR`&#V!f&jV%wq8w|O@$wEh1^&<5_h4V0Ui6KH=N@Rbi zGvAk|p=xkUacqi~paKMzCjt46K|HIpPfvrHp2`DmQh87DNs;j^o;W<(#&gpZkadP5 zRuGaW0||BFFh=RnX;Z>{4IY{4nQ*coyC|mI5v9q1!NLUpGpn*vmVYV3@cB?8nOI_% zvpWOfX42iTpv2r8))?$<N6>f2S}42bL!D=j1TY}3JB~$3RZHhv1!242 z@I6N&tz3M&vL!&P>eBgJUnwi*!}Fz#q;E{Er!F47Oaz4CA7oOv}ugOQE#@ptyP!lo-u{(u-{y?TON~6 zyd1{+Um-gs0S(d`545io1-zvv7Tv|X$ob67pR$*13aD5{Vfp*M*rvrx>L?Xr7Ie)xAu2m zoAYrpZ<$Ow&+_9*<-|}}MOwo~w;bIqXEu=#PW73#g!;5{Eop4!t4o*Hj$z#(>#5mv!ilUz&NI6m2;JF*+pUtzQUXHZ_^H>U4kkM291c>mO9z!J zOn9ix`;z0ULF#1(t@fiS(l(#M7F7I+ia3)UXVAB%-hBAC79u(?<)(S<4)An!%AZwaWCY`n5T@n)62&A zZCDK040y7G>*Kwxjr{u6iVX ztBv3h>tPm6bHGL42=?VsQs;0^dgc6~ZeUE325F72DPQyJ4&f3FVc z@f}I8%7v;0uI>H{{S@ok1`A(FLhgQObM=>ssKN}m-tx;7?tpwwmP zw{hmX;nVm^=vERLoh|;<^bF#-FwJ|`SZI-gvBgjmrP*n#0Xl(0=ub`G=$j*m7K|jg zp-H&c2&DoAgp#Gz<+c!w;4un?Mkh1EfpT|2YZMH5$xbY-#!ADFq4@a;YDC7S*-Ri! zG-JHxsqSy+O@(@LHbo|e!^|ThV9QkE$keCYwAbB>l(HVF;m2zDu~KvC`~l_iPfbUl z&!8V`jaF{EbSFt#7?~xdLuD?A7plti)dT)`)G569h*C1h1@|?` zm36AVp~4ke-9;Sx@ncrdVus#gH2mVYuav&!TY-^SWy_Y!ww#qV$6jf9qtfQ+SZKDG z&1#uLe*-!j;@{P$b$+7HI)2O_FY}rxObMEsBIAD`H1#baeU+X%(Fw3wm5`7@c`Y-8 z>_dNyK7XO1V$&X(#|;9yha1Iy3h2MmjH#AuNt!%jZ?haWiv0x9!q~Sd9c(0OltdEY z1OdwTg_{{~HDHQV8wq!0U`n@~P!NkHB(tWjjh;6r38tAsp<`S5d5`baiLoCpW>xOX zyTzlxs&SvmV^g_f3U-HEm7S>HsNvnz2pK7=5P>WjRtOrst;%Ei$qI4I4INE6?2H4_ zxCHqGRuc;QhIkNids3E**b6j(Ipjp78&28>lT+da7L@XSTR@0X@uqBmFK4=KDdevj zc4hrcO=v-|%}?8g7LR>So$?bSPvxlU251~O0H#F@*Awd+nZ$_}Lv_p-1ogn3U|l>k zHsCNw8k{Dm9{MM5Xlkg5)s&*+9+=9GY@jmRGMn=?X>XjP*!WZ9yYFb6JD6EcWOQ|i zC;%ngKDoKX^5QW`&00*~Jl=**@U#heETz~kFkR^t8D;XE?Tp?PiLt;$W1k+6Gm)a%(cnN!1zkTlfQgj8 zqIg(oVg*z~?AbJ%$z^$U-KS1&2pqVLddG4!p=j*WvcN>>bvd@lhQ8?6T~cGgna<4= zNj%A7SdMo^Ll>AR;4oOwAVMwyb8=>&sxI0SW8#JU9l|}~y(h9|v!FVUi%-1tCX`Eh zVGZ}Mh%L&D6b~u%|B0jmpskiurXPc~fjk~bL9tG8l}>bsfSD~uJoJ)BU_t1{xF0VU z0PI^cJ*`@WXSxtwjN>p7q&BUdz+_|Gc2FS-<6zfBr{v76Wz;jJEu9MY)G-L_RNrM= z1@de=GuxiZzNdTTzMvhv?k-G_Sf<9O@{RRiMzfS5Y&ji9(<3o?``fiiCJxdiR`rYq zx;$Y7meZiT^34T!8B&WAW(q2TCN&68BP8kgsfmf<6 zf1a;Z!I6T|7R?)ttX$a?R!W)W+L^&q;Ow?LG4fPku4mx9J-)R&b`S;1EWOudO;RC@ zstnw^w9%(C+bmc8Ehf}>+w+_+Iw2FWVx8dxxpJ|#)9#!P2JzkCX~C?Z%f;0U8d}q- zTDK)QX0an7Ext9^8r5T*6xDeJ>uyiGvJnG(Gfl?!O?pZYzM10WilDrAP2}j5FrBd} zAMWLr|Nj1&5ns{zame`^H4U~o(v9Vf;SzZk)wV-Fu9JI3jxleoJadgD^?kd(b;Wj; zrz(%}-A$**986bdBL=wjre-$9tw;m&xvMteopa5*qIl=Fnx8+oKXEVKOhCmHj}15Q zrWvYCskf@j3fkRH<{qm8W2JlKw<0#Ake`b66RO0a{Pd1a&-vpz=~M&GNK*>vtWZC#nMy1Umpg6fbNDDA_jkEr%9Nl9@6xi}L0~+W?Vc$*jQ@bK zqYV-LRpJb5{DU4o6MXolaZ^O5VZGpIz*WgbE%F7h^TzK zqnqF4*Ws-RddwPNB)-nFkzYWu;0t5fkJf6USJ3ySN(Uy9IT820n=?4rYl2YxpIigF zER6*?miyu|1uQVPH=q9pF5F)H^fS3&C~&$V1x?W(jHP&eB|Q5%_A!W;eTXq93W%XO=1cgcA{;Ti)alDN2>it347AdcA`g#%3OvU1TDdED4ejd+gBp zL2wE?KJI~$o)xIr=il60`&r*y6LW;~B^3oh`1sT^x+0rQ_l!gP``dl`g{7MsyXv_s zE9ck(lP{dh^ilql`IOeQ$N*SCr@y}N>|gPkx(%=T$Zf`T3+cJM#nmor z_xAehE7e<52|lSylz_|_9jfa~Rqh$8Q-+Mr+8Q)2x4f3!lp zQIWpl0VL7Slyo#|fa6HSwW0hsJ7}t_~lD^+*E{hR+Sw2pZaBIKz3Nu#HT;*EY_llOq>FAETc*epkfjwh*2SMIx3J* zUb}r`oyhcG`CmqdGaLtr{;(4ZX~DSJ>6i4*XVWj8aZ!dqu|-4& zvn+3ZYTB!H3EmvTzc$|(*|14Vt1jLcu&!ie5QFX%xt-7x=19=67Hhv^(##Rap7Hq#+pRA3?<*+lHm$Pitx z)9-JN6z~m!Vq1O~ScyTbQ~KX6PGWTis|aXu8wr%BOk$00?c&xge(D0UxIEtY+9`Q+ zy^wET5eN}ERf4IEKmIv$I*K+rzNBu8rm3tcv9!E95%*D^^L>l2y{Y(yL)v08BxVi4 ziJH?t(okNzCWMzRFR^5~hUgnQtLg?_R{2u0tavMgH)RD#ZZ1F576*!mUY=RHRmMk& ze59qI%X1|!w~GeEn)ENkSPUH6;(+(r{!!je3z@HIVa(C}1e(XF8rs zHiq$ad|Bzb4Y@rXXVHdq>TWwz9bp4kawYbRn`b^`K3k`kil~=YV^?`*yzAo9&bo?j z;rl<vwrulov>-eJ5aDhlZF`1n~kHdY`7% z&=&8~FgMm2lU}6x*Ff$){*#tLjn zsLPjREcR>BoO`-`eu-?K(;uwB*?DL$^2T>4)B~md`%4s>D&LfuL9dQYiHXD%wFgXW zPmIuWX}0-m-kvXCB14Bzvb4-^dhWsVASa1mhU3MO8UGTE<3(bx8*_(~opi*+*IiQU zwYY%drDYUmDVCW-bL`N@7l-$no-xq{XXm_0JI>1af>D*l*RMPJo?XzoWC(o4YITPT zvFHv3F+z#Y(-cs!tns5S5oB)K!)2&a1FBCgsGV(H7UkL6)91UazeM0Nv|#6=9bRj4 zQ-Db5?!EKu^GW|)rVgsl!5VIi_|!$#Dv%k8P17|3a)sMqYa(IpC=N)14B_yTItDYAK*oeA|z(x#Q zPl@7?I#vG3OkbO`H1`fkb%q=S`CSfL9AP_5RZ){wCf+M?uH2k!Una}+;Ku*`2j6{H zTlvW$ELc%*v<)=~!3mJd2=)QU}Uz%!XO)nYSHqXT8k52XCv&kgO4#qm5 z+K@@c2J@MT0jyr-%p}2{F-J#$ia*5E z$*dl@KACLUwdk)yq!q!2&^>4PiCD>xj6+c!&-m}$R7}JN#$B058d85S#T_zjTP9xi zAUv0Jj56tmC=%3(5LVlkFY9S<(TRfYQhZ^|)SQfz-GGoQ6@-5#8I_!GqsgDZGcpGi z`@+o3zEuyH2x)Ct`bD+npgDKZ)@p9>_tjJ~Z*yQB zRKSeZ4PKf?Jtn*~XqXr%jQM10%dvsPx*5VaQTSD`WsY(i8O)|2T%;C(k4hDh@mfBq z=Q#(Y_@Hez4fU(0pPGTbvmkZ7=!VZcq%;=~^)c-jE|8w-&)dqgMaQfODLTDrnoTz* z-DcvzZfd~w#C>^@)_5@r!)N9!x)suMpMGf|Cf;XNuK9{<&K$q^pn#l9v@lKCv#rIN z-dpmSv0^K+B(h;Y)T)((~~M0tHvY z#-zH%-<2!5fpenDcRRI3a;om~H(^ym$=IayVI4Xe#gfxRqeY3!ia~t4u9l?9d6fw^ z;QY(@C9?{O4R<7$NNVqJ;X(vLc{U}L9)IvdW&o6wO{0D)wh`fb{O@!sQMJqjc1MhS5YR(fg!O;viRwze8KRCd3G?JGvS1U zlUTWO)2UK}t`%z? z@0|Fzb-_;Z|5Z)@&JaQlA+mYz^n6d6D72Cor`8la)$e3EtHLDV{lUwsbdug!;5Mh9 z`Wq|obSTU`mY6mfRxN9_52}>+zWR6km}zhX3~lBvJqPMBGbNul;yn0+Ip>Sv5A`wA zOsZL2tYb0;a8G8Nk>QzRVNCd(tAF%od^J?r@8%(JDHYPgktfpM`zh!Y+J!T?#funW zCVVTj9XDK~Q`loQu{GmNsZK>HAQSG0$>@5?8k!;+>#RVZOg~vb0-$2(M9Bi2!WnC6 zSPw>)(B*!Fe_+!3$Z`AyG(|jCxdIVDjc5dnjQk}sMKIQQ2l|0&k(1>ACGUNHWl6I0 zus1`BG7A=9Z?rJ9NFp(ucQM^}Dt~7_z=oIp2LyZJO;%M_Rldr~tj-^|UR`VPx`!fR zQj{!+V`4alsmAn}Y>_>rG(DtdNRfc=jNm`O@XCwVekLh-Yr}>O*zotAi2PYqw_i7h zivhu5zgtxiCn8Rqh&XZLobTAPu=i8wn0E%m&~eV5I|DomJL=foLMa|%amMdhXAvr5 z?z`lXSQ{#5yl=U_Jw~&zuguWVa8!;RGnhM3G(xhly6&k52Iag&7oxgD0wEAr zvK9n0!32o09VM7gTIg$WnKFuPX57pOVY=hZ zFTv_>cZzkIOUM##)v=1BNBMnH@qwCExET`-Qk=+C72Qfv*YPnnuxo!AZJ>!8l^}RW zf4XUx4usup6Q%J(TgBJ0YS0#vbPbl9rKlH#Cz!-bNhUf4WZYoe!`UrkJ3N=s1@x&& zjbpscn1-&~QriL62WZ?)xoc3TV#q_5;+R6k(A+m=8H*cWamGt|wP(Waonqx;shW!j z+0MwwvRNfvW8)65lXBBk+>^4(kc*zyiJsCqVpr7h4Hq(WFQ~g!yugK{ZGAd&L(r@4 znrs=%sGCZ9fknM2iOB_JP^C=2%Dvtvw*`36SgRFRIkPe0#{;c9g2%`6K>42zXo%OS zWE}4Xa=MxQk3ak533T$Ep}hR!hJd6@LLm0@uNsF&xf{~V2+X1sM8J7R}!9==UUq95@lsf}VM8@B0S zFYX%myT+S*mlL}U+&VH=CTBE9oj?ZA6y3WZQDopgUD2|VX@@O!?ql;e zU?0KtQZcsVd3ur=qYpUvmF-f4o-W%w#(Ju^C-t3a51Hh>K@&AYXlIOJN}0@xn8wt3 za3k9?qfRM)urc=b2IJuq1Q$MbJVR&akrzHpE@4ttDA}@-0sF#Ex9iLyW-v1^#@9Qe zg#_azfG@)=j`a9xBVu2uglv#)s*=ok1CmRvsC9B*366~NaJgY@YtM9ccuDKV8}#AG z7X`Ub5|Z?Jfqi^y?6Ec&SObwetYw(Y`(Q=(=W3#2#!)da)X9sOiRxD3&!)oZRPJAf zY3$SWIwRVS6?sf~5IFrRw5JQfSYa7Uuw2zOB)K`1C!ruqZ>i1l@pe`0adb9?fjuF= z-_ltT>kd~=?!juKsQ5l#$(%+WgxGO=0dwC#z!U9iy`>?8Sq8c#x|PB`y4)~fK~s9Y(_VDqJ4p$3 zs!Hl@w^InqP0R5=ACHerWXoscMB%IwkqdeV8Y^Ci%A$ZWpeeOm683?C+`dU$DnH)U zL8h6pZ!#i?uXtP*%vQD}209d*C8%UfNsOZ>!#7OGN?xZTUVQh*IeLldVb=p(CRCTa zTethta`~mHvm@gKhqlGV@tl5-I`di~O2?51tzgYUVr8jqDTZ6~&$l5HxM06fa9p%F z@y?VHSA8W3-uS3MMY~o9^Z6MYd3>=zhgzO; zdM}nszC|YMm{a>@CdNhU*JskQz2L&;AKu#iTw2{+`h&SdiQ#PizhC?uCIh{D_!eqq z+~jzW$j#E$kcGDE%_ne{L0hMYcVcBI<8-Ak1YK9>%do96n57Oo^eyr9=Al%inW`gq zSX**XSaV!T1_q6;chjq=g1@AjQ{dVI3q#j675`*N0@Xs@C_{BGw1U75hv1i9Tc^8& zLNnG(@Dvj)sCh#pgKa;;0&7?&oZ1V>>N7k;Z3nj= zQPTUbHLiJZ%P@L0X5$kDB=Y#4Wx4ZPW^$44TGClhl5<aqU1zYrVs@dFZl06%=lb^#>b3o<-sD@4T;)%nEJC$7qRIJYNyYK7nczr*kV%5 zY)W8EKj3dc`x|YKG<7sk=Bk(p(24hHg8>A;B8>R& zdIS}*n2d$}VL~0wzQ+;0Z8%(F42opNw!x2qWpe4xR6q>QEk3S4e5i|vgb9;qk&Ex* zhmXd;c#5=dF0rN_-e*xgAeTvx<}|I*%)w|0$>bw}Of-2~s%9w7#>Aq#=R<-f?VCPH z%Mvo_mcj%9A_}%mso)MZgV?5ZLpC{%8W1Eia7oyi{l}jL>*y|h9@8fx-)ylFJWmyF ztPa6eFh|y7kVKY7H?kEXd3>MBOYK=XN8=kgP~g{Vqk__X0R~C%ic~RWdn-lbxrmk& z3Z{}EFo_3%d7thV@#4tG+NcB9ZOf_04wd!fyjgWS2m=jL6wdyiCmj##qFHWN@=idA zso2mfT4k=1Y!7XchplepD9NHtLg3ortbL(b$0vL#a692Fy*qX9(?#BYzZL6;L{C!N zX)1!l@h5x6E*}zHeJgWQCYxk=pZ4D_<+WDl;n7$_zA8(*8IfM}chZT8EG|J7yBJVYV9J%AfA^UaA}&$xjaU5OQs1P8~X z)rNXk4P=YimpW$_s5gg1o{ZCbrf$gB*$`2@GSt(BX+g!)0kks-si<1))NxyO7ebHT zNQ+PAjXHOMse#k8S5w4T4N=nh{g%s7D> zYz-08kTO3eDro&qH1n!xm{oExEbvj?G1yKQDcFXFm+^@jv!PE^<-EA@OM|W z@RIsT#&miH#s{j(2IKF}8hV^>@nYFMlxheDv?LBGI6K@S*RW_9JvJJS*S0ba4rerG zp1$aY#kXFjWg7^_x_Ds@z(?*X&0j0H?VBu%D!InL?x#as#n1=iQSv4k7@;A0`c1WD z=u}JlpZ)BUC$c=0$F*dDX|EImCoG&XhR&AGw@|u-C~uuFS8WD8eJ_|>w05t!8jZA4 z5Yc^@!pz2eF?$3z=VL5Lv2=|$x|Axdzu8-KR;u_+!P~IPlPB+i>k{YhDm&p&G$faV z&`N~KJbahwJ56G&QbDeK_%Ijm9DKmm+9n~?S@-6?u};^qwgoJk1O0L`B3;poeL$R- zyGo@<(sK!-k`+K@#FL>bIN={3RRuEqCRD+QJ{tSY_!{?oool$nPwBaD^bd${+(Ze!*=jo0{Aw59n4PO}FrrOSdte2lbL9bJQ+sl_VSg!-s&{r@H<1)^;OgQqu z+d(1(cc(S0ON6Y-h$v<-LnoNvh0=hApG++7aov z4t;T=cb4{HQs@TdHlZPn3M`I%dmb@U${9tvH$HQOBCgy};8y5WyxOOw%0Uz;CoGj) zQsEO+OC5>Ev(yDy=K|TF>u6RG_?K@Ol=05XP509o_tWyNxl3z)PmoM^J8IxvUGo`* z=-CW<5ev1a%+1yXf)5EqvSeqR~rK*j2fdQLJ^`^t>>fkKI?jw&DeU z#iRB`^-R}uEj}(y0KBB)nLDc0I#gQZs6RsJk{ajFBzp0Uz3}vpVIf zz@!nJr%N4&=H`Lxj9;7Pj}5SY5cC4f_}Hnn>+1OZsP{1qJkO2B{;Y0WXX>WRH}q=tuE_vi#+6B6slfj-{b6$> zsjFsJ7+XR?+^F+;(s(Pl;$hScs0AMCvTO~|r~ca3n7M5-Je4=kG8bvNS9s;rX|ln5 zITJQ} zGi4sYt}*U??=&id#M_2kgl8(dj2OhO$?{KD5h`abOq2FCtLT!yjnlyiVox?OD;QUD zrFRyeK{n5=UTJ@AnON29vQW9*xW-Cx@p^fPI}vqFXI^-h{^8!&kl>mvdi)l*}M zjq%c~+VgS!=)C@AozWWA!!9|I2JeE>XxrmT-i5|&Ek)B+XglM&Vau#RJ)VPAvQKpl zcT|Jw(x^r&dMX2zu}@ZUru-mg62@{8+v(MH_7hlUCQfrIOQEk0vqiDo5_;uKP|oJg z@2bjjwoC@%mb->9%W@Pu`Y3Lo^KVk)rX%NG*cj|!Opd9JH*#H`^ySh9VTa?&kx5vO zOSRRW6esm1iHb&4ET^|FO{h4UAH8fj^KsqaYF)MHo*t?~<<7mq_eXrM=xDQ}0LQ)2 z4)NEq!pu>akAo`+9m&Nx?vWd+J+2h?l_;)Wq{X$4^LQ6)Nt;i$N5|=igbI*=aSZ8t z{VBVZp4g|^@SBSKD_ z&D%<6Uh>LrjP6-2M~qjD+D>C5i8oo&$KtblzU2)pz;@ri4hNRtFq=5* zt#lH19z_E)uw%8=E&v(S`sszO1s1Kq-Sh`T=1*+fwSHN$%+Rss_Au7K>Uw!*fOK^o zG&T1|_Fvoj^!dW}z>s=tWCFIswqkE3ZR7Br)^3kl(J17=Yb%}ON2oXjhemO4K8`uC zAK_!BpIThbHuyL)0Y}$GM4M#MMbDc3%`ZNAvc(=PVgF|Lmwp|Lk4z50U%J2aFUqHG z2~l0i`kE0xL^d=#x<$X9TG9MQxluA_81vlciD`MamV@8s&W%Y|x|7NvX-N(;M|+T2 zk>k!(Wb1|z;Q09#jCjg0;;J@wX|{?@B2{_D)4;nKKUJfNb6RmJiE^#z7LxbWa$HHQ z()P)^1-G7to}_cniTxym*ry4hZG2?Fc`kL(qab8NbRu~!tl$=l?5Sl%H{uP+jEiYv z5ZR4D8WTzkAf|Vy31*>7K6=E1v05@ix-Z0C5I;0I!G7YEqGP#dgp|wZU^I@5CJLy5 z)c1_nl zeE&`SE#G{HE2r9(DM8rkG&f5I1#XB2!Em)<$xmLs`^n3Hr3lV&2q(<Nb`R}ivLR-!JLHiP7EY1J(PhS4xPhS4sCog{uT{QP; zy=`*Uj}QLz)d$~x_3d|Geem0u?LBj%?vrxal&4wLk=n&2v0e4`-h1`I z_Zj%fm(LmGz3)S=+W$4xa(?>ZyQoB8cB?zmr+zY+w=?p1>t7Z_+trtY>GT*$JWe19R8xl~{dUn*WXr42 z^_`(~=bdOPsrupXXqo!H7?Qs8|LXHZLF#8+FF4mAnEiyV2wpgksH?Q6v)9(R ztP9v$?XW|~wFjz-e%nR8!2>~=tg2m_59>M6JoE?ZihkQ=dzYU~l_u)hUN{6?(oefr znrmN8UDKVrmJgL>^013~8%dSL2;f7!-08;jTdQNw13p|&A9l${Wq&v1CXmM?ASKs# z=k`!zv4Y2$X(??N8l3A5RTiySU29GoG^|MC+2+%?T`#!yPOfjOeEk=#Ws+3($|Pv7 z9mYUKL12#*7t4D@z?6y_qCGouXa6$=E>0WyX?<0vcCR-(&w2b({tG?;DeJMkJpXG4V(1#MqS$Bcz-u zQGZPIGS%MsfqpjTF5MeRLp+3S+)-4I7wTW@%_+Mh%F6wnpd_G;ou(zug%r%>IVow% z;y`dGmA<_tZ}EgwB?T6zyJ^26#ny*IQ`|}}q_>S7?@mSx zRk=_YcEi!X30Z4Iw&MKr=&yK2i-#w)P5$HFXv*&6lnF^S$bZ|DMo$^b57K3_DC#`j zDKAe!8lfQkr?`x-(`>KP3l+H(jGHDgy{VlgZLn-=7PJBf^d3EVPoiz zlFT||;<+vhVP$0X3U~9b;%4|&p3c-%eO`Oo_gxSSY2AxU%aN__~y`lS=#fE+Uzpnmwf2PGO6DF$cO_-z?xOie5 zDdCvvVsl^wPA+OwUD)jh%l4Mb_CuNQ<&};S+9}n1hx2L-NM;4@l$l^{=QUw0$^!i( zDE}!o>SCYXV-n3Aib3}9KI4|kB5Uc=v29N|#N5)QZb0^VQYQDFwyJ% zZyb^ph90-s$xt+Bh#CEWjs3&>0jirKmFb#boGJnlU=8mH@R;Z?S(Rgd%C~ zB?H+7!Vm%7-Bm+qvA0?iGRsoj`UW!Odes>x6Bgzl-?rA7_Ka7#7g zGTo4IWkOg1V2y?zFSivl3G3{P9aD$%bdhQV*;iCYF|Q*Dh&Q~3RLOGMZAh&WdqHWE z)ll+~z4m>(EaqIh%6Hsc-Y4KUej$9+a@g*o%!^0F?()*$BYf1-9(i>QC=b8C&aW#C z*w`66)mKy?L0>6G0-jckz5Z-dAvg*H(y_R+j>v+QrON1y-yXi36NFkIUJLFz6Y0FX zE{TEA+D^^qF?JAwLya3rHtCr1r}y1s-nf?R9&&%GCW{^eiy@xV4Nt++@>8}ht`H|m zK}UR$J#Rprns1gKbWG%gFAU6E5xXASPI_$w1g7X3>EIGZtVsmPDVqqT0;>^t>?^y= z|M!I-lYy%<+1Sb)Wx2FRP0cUXEsmY1L2zU4mmAZD-c0`<6DzH{mhTc#5rJjKaeS}z(z4~I#br$j!Re)w+*6*f}Z!ZaAG{f4V+4p zZE1SoBo0ZHs#?uuggACGA;(Z9Ab?E-3X9k`*B(1duabz`w8D?DYr>NUx8V?g`pp`sSE0@%1&!mYyC%; zK9aHRIGk{?S1EP$?~_uvN~{d#=~EF#r&$|o$qNNe?S?w7A#OicYMfEvvDj$|gErNF z-&xN#={}EfL>O5tV;C1ufn(MgS-yKX9N}nE@7XqD%Md$wLy?!KU2+; z=!zRbHvWt??;bwPl6#}Vc~VJS%xA3strpU0@G`Ep6m8IBCg55U_LIgx4c=U2M1B9}Kdm3w2h%h)ShaaN*o_aR|C@gjie_+F~)fpxM z{)8~qn99?!Y?$rO)ZxRt^)p}MZe+o6W^PBzd!(l=Et;3G2e+~Bj_#i~v&SLiDxfVX zwVU&p)>fwuk5i*r75gPKp0wr~_ogT548xcqm}TBV7?~yWlNCh+(~gy4`t#A z@4!RFKf7O2-hfb#QvQ~apE^3)7KrI2{7i#?^Ee;LnLB&?r#pasW@ysMWlioLgB-64 zUw>wq5&mx_d9k1cWkkYX=xhj2*BO!T1vc+_A)6x?T{0Nu%)!r&!=y}AQ}fsDLMxpu zP|%FfdhXnOp6-o9u__3lk3wxKzb;LR3remBg_$r8+{G$hRX4-Nd=&8`^SM#WN+#O3Y9=4%F6)U#MQUhpS$8zCo*qMxoQ&n@Zz_?!L8r8ON%VVPeUXvy6mDr=t*Lz z=d=yyo6208>qcPZZ8Fl10yVQ0t$VVliNM66q?7TI91lo%fPVbugNO zgqag>rP92D*tlRQ%ZrJ1PKGj-lNh9V!z-Unw&LQ}a(t2G2|8DkbG$xnL^GtjXka>? zZ_+a~YYqo3uNn($_V453A-e-Z6yy9v#7X9t*wb+WyrJcfkkKW!2kbjKYaUdGrdlym zKyAu@4%>r?n<7Cup^7q6AIkob`UIuvn3U_ZWVNN-ql#mNQkd4}1^!)BOo7DR>4h2I zG9AkcNk+9Ui@gy={H-k3X$F#qtjTw#`sYz62>=y=8 z%`rF|vJJvet7zh^%i~~L@f^T&@=nRzeJ?Dbs->FqPQJ1aBbJW6l!i= z&Tyl$D?xzWaDsc>W~;dXlPi@7mpS*s5$tjMq{cpD2!sGh;%$7~by%Y(qOtc$_r)0+Fv1;G|S30AuhS$?69txrb4TtpW`%dJb# z`nE<9@STVNyyvmy7pGSk;xqK!y%<)0WpdkeQvtT&`8crL9ag-83c&PMwoj*p3(@6Q z=RgP8`kv*wv%mj&R-y)CwI6d&;em)2CK%*iTl3Nq(UR^vgdlOID@#?oh#29hDYL^U z93zppz?XIp#m!VPb>|Gq^MrWc-U#?XYMiGBYXLs6ifudehrr_Vww4CsUKYniabguM z7*Q}ENcZI<==*?FD^G->S@fA(%7kde&M#7SNn{^HCWa^P+|-v?8L>p-c{EG3}bc3Om-S z=w(Z@9!AawC#s)vlFvicit&^wPiy05wi1|YaV<+soo4_&lhif1dlr019VFmte|yW= zugvO%dvH@t8VsR;UuXk8mBE`H2xb2DQ` z^4QoF4eoUszK!10SVW_ymV(-=!q$<{k7hFikFbg3=md71pp_ zmUx`^)&2s9u6QQ24n8sqhayY57$(Wk%HRWpb_pT|K2yrJeD(-(tzKyY2l;*l^YmsD|>C66sK6bJf7p214 z=7YVs)4bWBHfh5&jR`)}`R(E$&s~$sB;8kNdDA4gKUvC+>Yxif z_!OTbOZ)viFRF(Rd8bXYhxfs#BENrlKTGbnXC1S(lOw4P9jS zs+g)Z9lwqQtu{4<;}*L+mU3Fsagxp~Ok=L7xuE7NYUr!6R@vCAbl+sL?1Xgl)bO%Q zNVVW@1Su7Lg|~R-qT8b=W_sI{l9e+dTgn2bB=f{I)Gu^vp2>tO(we+cF2#(8V+03e z6*o*j79Vo~X|K#uK+4}XXn0||w}kFz%n!z_xW>~1O=H&08x^x}bO(HNAXFW|sBxMf zm{AT#`Z7!R3o>iN7uI&R7U_;1TdhPp*Yco}4lEgBqKF1!jTNE+B{ZXDnJlTn{|cI9OM$AET9lVYXbuVr7QTN5x zUud@jt8H5;St|Mf(>6)A{9oq~qhq$HUXbIfGMkG^?K zfB22MSZ;sxUUB3Lk|jy5(C`d}$^wU&!9O0pdo+&O?jXOr(j_5K-Y3;Pew6QR;YoJ* z(H}#1T4d~wD;d2wnG8Sxu^rZL+mOWy;cWBpU2I3#KJOtJs~`P0GTzt)U!%IV^wEb2Y@bucAX-8U7wu5#TBXfB#nd|-aaA>#BUigtgQ!!}hu zd|NPOhXCzGmdBq;#u{QMfY4)ubOwmi7rW&5U2?GNU>7PFYF<|ZdN??%YTPeo?z@=g z;){HPD$J>`OM9)-aL|%?N|Mh)QGrUJyem(wBO23Gy=@2%r9G#&g>nOt)PC%eq-}>r zSwRhovxCF}pLnw$dJCC;WPHVt{{(a6KLm-;R1m*h2RokKCmoL^Ii`5sRxTN;H9^VL z8?DM&5A}tYb?lH#Dh91VQ_{W%1|LN$Mp}41l?rE(Xfn$pmMi8eO}d<^W?-?4K6+<4 zfk}&!*Y$2h)WvmK^C2?h{Jtf$kCmdR#v1THq52O79N4CUX&BN>ah5i8q@0N#=JPmL zQnbf$uh7&tMYdK0p7hrD`rb%L<2&PJUbM{LQX?hw$d^e3Wq0d910-aH+vK9^{=v>ffGp z)=|`(JaB2dE_Uv~wt_JdM%TYK6m^lrW=7+{MIXaDry(c0pv%>itPi$Gd-e;$fMqjL1>Z*d`sxe#WmBBnP_ zsBpzuo#UkAmczddKG-~bnDQepP@eatvl@9GZ?LaJ6Wc)FOrTOgoGukCA$&Y|%!l`R zd&PZ!3oQbRDKdTgtT-+wcggmIe;>XJIZB~a6HXr@bY3(oHrSU;`mf@Cv3++X-1~ngdj6!R)%e)|x6f5O72Q>F2Awl}gWa5->9}7O^_I?3a(}RWk1xz;#c4TC znf)}SaOT(z{2{~l@u?tE8}4B^O%re+gB7EFt0RP0LGQ8MfgX-RHCV#B~QL-$JQ26ytjE1%$sE-hF#cDL|M8fYMi z?-J%vme+r7Ss!KS|J=RM1j_82r4;4AP)IKHx;mt*mF$}a|9tq60XPnd`aP$2;)+Ia zyOW^*(59#M2kt7{BrR*y!yI9sf!;G*o`b5~kio{U8uCdp+xNQ+fwwYf3n4VFX=Pe- z>390@p|OBSe#kAJJmLlxP6`vs3mhz0gTEXr9EzhZs5a?jv`f>)&z+7NJMKFT+LH|z zVq36nFTxHpDY#Dfiq&qm+XO2XAF4w`CMy`ZbE}xM<+%;4&Xyo)0WAq=l zAodYE@wAWoRFAd$!wG}o*`$hT7{R4pCJ*mpi*%sZb;Xw4$~iwws2h{{6bS551Sa5~ zjp3JSDT)18D-o%G}`woS^Ys*tIg?Q!uX&USF0d4hF}rP>zBXYS8fN*1=o z!9K346$R=*AbyZ$MqI40mAG^}=!YwIXZo<3@|J;~<6pvCk$Ir@w?9L+Vx6jdR^vP< zjicC8C-$cKy!FCpQ?c41Zog*j&v3C#lQnKQ1tY(eSE|BoP>DBn(qkLC)mIG1tSx^= zcV}#tr`>roxaoz=R2-PKe5lHaBJQyi!%%wu*RuncJj< zq~~Z%HRZA%juXoc1o^zH=e6}zVk+Fd(tMYw#vEykk>gItY}Q>RADUUi)FLOM|z+F$Q{!kt*IcQT?tKkVdiG>^TDj*k5UC-_6DW91UR~#9fYdV3$xPIj%s_J=NJ(UDco^qHQ zM2*doX`h=8F3)pa(^5744g^%OlMdIAF}rPV&VhyGrqr@kt)Q!=c!_HcroB+Dc``h% z8hUXnk3d~7?CL2;5@<42qDCjnfXT0X8war+^|hFWpjlKJ-}X!R8_2TfAe_gx(f4OdMFre!JwDqY7`b)-w?U3$NaA3n;9K~rFv6FH8n zt2wF~uHD?JDwQ3A6DN1nr(w4<;3%Kd{ZXT2scLRp&DMiM*%LPXen;^zZJrg{xE2rU zd2Kzlr||N=z}YpBFNY9U0Xypq>iNU=oS~fbtR!13GF165s*3%LD+${#p>)^V)1aql z5rXMPx}vWt_EUZ+s+v19xWa4eje*I>Vp=tPam10==1&BjpP-^@lu@VbJ=!dB04ysw>YS1$CM7C?Yoeh_-hoKKK^;Esz zrgK%C?@X2LRDg}O$A$)E*H2uQKJ0fmJ^7qvtA_!XVy*0=Xp!Mb7#H;wd|oV&VW)d&aV1QQR1=e@h*@Z_L%`B}Qgs$!3FV;Ta_8u`xu8eY7VMH$+zH^QKO>Lgzw*mU!p-) zU<4}4yR_ptxAv$V>|u<0!wPHm6E+6(aVvv@Y8U~BA*f<#9P)~h$kHM$0Hk-R4rL#VN%iyfd*Cak&<@8 zDFXvF%jAHuE0aZaCK7!9HTw2aF?TDpCEgObk71iTpaa!5mXjC_dG4+EC1XNb`sRAK z-lz*uRu(aCtb7?-$z_fq_=16^8{uR|;~`(FAq_)9F?6ukkgFzJgm8`rjWb>KjDEI^ z&nxP2Yf}-OmX?;9oY$r*S&c{svKOpqEz2iFC$rXp1;%6dxVK8F*Zst>Q`N&&vzxKx71(IrtctdV$$f`M|N+uEebYo&2n|=_;F+ZkL*D z8#Dx`dx*)gU2EfA!(j&DJ!-FwEGtf{PuZS^Mb*~fl80h$GN34@N!jkZ6E23P_=Fq# zfiL>wZB2`-_Q)>s6_SX%@J?^KtcC-s&)zh;UFCaDSSdtQ6h`S zEi)1Vqil7NYLO7Ei$L97#w+GCZ z3blO;G9ytzV;&58knB^{2os`aXahPKp|2&nI9s0RG1yK_HJTX(p^)B__&#C!w6`#^ z*zt??#lf+ekVh`6)HRt)kh_?CENMA4<>QDxMI`4ROM=C{r5}vP1IU}=F2=zINg!x< zgHzX%=)NeLn^4PFY)K)EE{Y}nLN{fs+8TbbC>sj@u=OflEQtTk1}jkwoBR8z=m^j@ zZ|z;{^um}$Kl9{?fGFhaOu=wzd*d070;9$!`4;%Ft8rkDbj1S$6A2FJBjn^#FbmI8 z({9RSqj08H$r^LQ)wm!CL9xr?ZLyErn!$N2=5pKMjLFsc!R+d2aS)1+$(uB`r(Y`W zu%N{ING+a{3E?A>JZ~F{F1}Ms)z+XRUO3_%%AW4QNB-|{NR5_BbV0q~Fi;nJ>Q(z9 znGSbRrh)`>Dw=#VV>IZ<2Y?mptug?MZ_gmGY8G9LQ=?9LBsOz47^sd0(qoOL&-gV@ z?&nR8jZ|{_F2vu%l(;koQ>a+|$enm<=xgz^DH-@RsMu7?8GSp?10`|borT#(@3h4Mb>=Imk``(aVIqH(w#Wu$}r_! zaUyOVVu>}sk{*Z39@txoJ48L4k!6;i<(qx9zmJ*_3* z&)K|C7_cSxoSgEwZs@Lz>h1-fBDFY~BD~j0@tyoH}NVuQco+6gcj+gyjLku z<8p@ZMZx2(u5l97D84>hkMRi?L{twZE0JpXs>v&PIPIHU;UdKTh0~y0byr%)O|}yh z(XK{^J3?3T^Q1oL=^YQxbd?py;dHdnEn3zr+#fH+R?Egp*N95G*Nu*!>f{A`$ez_$ z)}V1A(tTAl8_YqnIv4lpw!ZtB?s=*^E@+kDk-ta@k@FM^03iYoU#&M2K-@5FAwPk zHLr~kUwkQQxnmyqCR4ughMrWjb-W=0>3;S9iE_a_*Q^iePq-9sf z3j26T(fYl>`wokyt1utTC8j?-3xw{IQAqiX({&`5HH1Lz9Wrh(}II z9Z|)T^I>qr?2t3l32M5J^CIJxjeWUX74I~sQPqI}VNvjQ)pBGi;twBYOdx}sQ_IzA zSvGsgnSjmFc7|-ioY;doJdnBEx;Htr-bux9B*g(e?QsN^&~EEixUjD_FH#1hoVsdm z=fI7wd*-&(Z!!b<43sTDns#T$rcU|U7d2PHEUI^{Y249e!o$UJaU zkbyQjKv~2Xdra36wa*s^+{NUEnJ!aR-k$3U++ppr0WZN}@^_n@1pU6P(+}4fv=TQZ zg$N@k3+C=f6J24vWl|3PUIdmI78!?efHqksd5rye-DH`Z!Cn8rD(o>`Q~SU1Y_&xHm4}Uf)uRQN}lYg!l)FXe2Gu!YGJ773QWTID3~!6jd?RB?;d9o8rJvp~#8y%i1i^{{i5JR4 zhMN_YJT*r$aMdM7eo2VJg<6!Ad{{-rsX#`cNab>Myim(+6S3+7N(xTP0%f4-6V6R0 z`K%)SSa@yVrB;thTv!C0PXy#ji@wQYsI0a{n@V(%;=_S~dBmQ-#>K$gDrjpZ?Ui7J zJxMr#*`jlAEP+BREhY z){Eh47wox7WW0*hyF$_|0X0__Wk7ekE1*`(IhmEs zW`;R4v@AiTQ_&b&^U#%+G1GLhHLp#)jfE&!vtlt>GHh~twd!02MYwN3A>A->5Oe{B zKh6_dl0$aAhcHfhzu;|0jH&va4_D+BEs*$xA|+11~IlMq6byqcvKAmB*a(Qb`2BQwA)dr>B!p$r$GcCw86Q}zF*;j7$Gg>bI z(X{6y$(<3$;V4dax{krq${5NYsraAHKj?7SkkXn7P{v|=K7(6&?L_Tx;X~LUM>#0|}KC7xs{mLHiI$fvIWL*>dhuR40t(w6A9?g@$GY z=1q*MS=KC-WuO&}aJXyLd>9pxH>U25XpC@a19iQYGtY6B6 zyFFV-=R0as(4Kt|Tg6u(fA*wCbE_q?32LqTf8nd*Im~CTiv;UGUwdpMWEF|1ukFA&hs| zGN$qGx^sr-o|KlJ@VQZo&M{pT#|s-_ek~nRhB3E1(9NViqP= zi_FrH8H1`(*St4ad_1I5VeQ!|)pPD5$yUX26}rqBpa1L66LYOGF6Za)tU78qFaz7Q z!g0{`ysgzgmGZq>1pss0j&J&5=sM$&>!54w{6V14Ve9#xa~^Un^+qUY>TxzRTt|lw z`$QJ*cth_09lL6*_BRJT2-Q(|0`29fwnQEnY$=)yaVUaPB)};NR#m zP9Al3UQECo`_MR^`Z`~FfLGsh+0Q{p^qld>(XN|Qyn>dQjJ=C&clKvLJzSZ5%4ej|Q#vl(oGn!4o4ikjST9aWMnWl5$&9sN1R*M^l^)0%}TEBJ*1uSuqpb(JCSD;hK^!l(6U+gRco)kVnr_5DA_#xOD~gM0QUP zgFyxzL23>y#Y-~hw8APTEE(atEb_V|6^clZ6z;mMOiVCuJFIbm1GvnssOu8dy_U{& zS7{O7uhStoPLm7hNk6p9>D#qzg^v)kI%352($p@vfM|FRtO^yc!#Hs<^mLT$o>JJ0 z=_Ooi*=z%$A3|ysa^_qaqmp>+B}CM@E(=EmTuk-QdW4!M z@<3{siRkjO&N>8iA>}f@sVr8-KH+xQ_J+D(yZ$B+7`EDZEfw2#u_OP%&uTYB+2}Nc zs>ZC!n{_N{nM@vnHpEs-7@e{|Y;Tmqn0k!itL1)w(kZFMkE2y@ z7Y)6-9L9lJ!L4gN^{n}AIQJL}_=dd5&u!W_^=2U>X| z&Sm#}tQTYa6*>{4=ECsSv!#QcsiP#ZtE`MHrGBNIoKDQ!J{tWabRFv%x4pT08wD~` zem7I4gsWun^CC@fJT8-K9K~eWmc?8ljyu2goIpj^V(ez*-$tGYR$%JzQ|&jH2_T1{ zcEo#}L7z&{^`241@oxi9IvScP4t9Y%KHoQt=Zs_OKThQTGSRvBj0r;LkTIM7wozoN zpj;K!TE$2D;lw;mm_tQ!Rb621W!l&iu-(p`TL)U1sBU`BY6f}Zf_cQXjQ*n_O{Xhu z|CVll8aHgvcPUqn?~}G=>PXw?u_Ovh#P#cNShfVOb`;x|5BWz&!`r};j@qV<_+1o> z1*2j1k~dF?PHT?acwz{ z^qWq%5=yT!p>dVfHJFfBNxdbka|O;0VB8*?Hp^rDX5`!k^GGGKRGsxr<-KCmWs|%h zCuk{xf>-8DB3CmZU%nhooCWgst?z|wz`nJa?$(xVj2=j`0Nf(Qba9x~=I=(J-d=TN$W6SJCnrdL~PBg+(dH<|5oo6(XICAAX!?W-xQ$#2fj7tQrDE5uXKqL#ux(4__-xN~$+xyk z7*{0jXoTzCb;tRtprz(YPs3*}MnCs)ibbQ$kS5KYk}xyp3$4`rY#57<~z?W--Pq+0J*SWYh=!jwxHN28Hacnuv?uO1K`66!i#?Rwa zYA`0F4WaIo7Oy8CSu^Zvbe3px4sn~5g()F$^qXzu4TpP9BA(^G%_co9 zE1VHw%WSZv9S+QcNJU$c_$8vkCWQgPp75q_QAviS+r(#f#kL_Q{LJN zv`YDi4GH=x3HDK(0^6|+obYG3@^1;RiBWg8r4ZH-4BKT#cAsR*7uV2uUY3}vaT})T z|2~Pe*--(tni8nOG@^ujlVH(pArI}X8#iy~qqh1a=2to^t|CD&8Q`F-+}@a+T%}M^ z4Y}Uj8#mMkdR*?h^7X(C^lZq=H5O-0iN@$lSPfd4k6Q_^&4@J@Agu7sri2Q^fbQRe zph!jlL5R_z)%*B)sz20s5+Xz|L7i@<>TH>eQ_nZm?B9O#kN(Xc{qkS@+8@$D52-b9 zo8A@Xx*?T2swFmY1!jN#y+8bmfAFV9vrq5ivcZ6htP#rR-wf(n0_*Ymz3;#N+DEUy z_Q$Wk_VV@DzKf60b&8{*vWX3g6CGss`rUu<`n`Yh`rY4u{qDD3zx&_4e)kt%zx%7N z-~AK$`0KCV`z3s1ZsMH5%88NgQXD{-hP0-RneTmJn0|Hf2eVccWmDC4dvB2u8G-+TSuue^TuSLkaChEq)xv7;#jGaXmh z>q$3c#QnedN5A~%zx)2b{n|f#{qAqSe)sF>kzt#=bO#QVMMH(Sigzi#%fT-OQn3<8 z{SVQ^cmDkA-}tlde1M$_MWHY5PBbl~HTs_GiSllPFU|fIrPhH%2X?);GgdOr0*QuwLW8X*;JOLG@znfr>(n!{&ld~c>nyrhX zu9j33Ap?Q&G>A|y!Q~j2VO&^TAiDjuMq*?l$I`(~$J&%{u>h>_XAas_h$(QNFcXL%2$~XQdrqL#* z>L=qDn6ZGJmsfQB>u7!`8>XZHp(4uU>`7f0iWVodV8SB&vwWvx25Gomf9!F_4k(gP z7*&0V5o9Qy*aB4yLd#806ABatUU0*KweKJ_QArl0yr>kZLtJEqK^M^cK5a+kwWCs_ znM;y1u{h!8zG)J|vD`V<%EJn^JwLJ8G|u}bgKivC{pv5*bB5~GV1F?@Dkuusk$x9i;asuAn|mV`6w zF>P?#Br8;U`vhBVl+k@UVY^kanUM|aKwK5!OCeS|4Y=(Q=p-lF)Qe9|6 z#r2q>$waRlQ%EFR$x~9S*VUledFb;E_#H+BWzg1%k~A&Kgc+DV zm?49NhT%yQ&O6FNs@(_0(5ck=`DY<)IhyiZ;I$0LbcMD6Wng7jTY`8>s#nR)^%+RJ zZJ&Eq>6|dk2SYR?iUk_kMOZU2D<}49~RRF-uEcF}BcRk43h| za!8mvMU2Jj{`?tQW!l)sS`8h~@X1#+eBP=>tG}fk-#!O>UDFB(>-!G=hik)&+7N#u zE8_3VS^zmV(9rL&g2LHv{;elZN~pHlHK{vj_6d}Vl_^S+sdC)PbAB5-GdmI?Tlvi4 zsKd#-PfKRbE9h-bW1U(rPaE76(>-*c83@5%c#JI2i}VKBpy&?qMxypbo+%0if!h*_y-LD=vB}A2jTWkiSsgJs322vLoa=<8kt9tc;_n$p zh0466f{Vx&w-TnGEiQK{?7Fl_%l*Y=CE(wRUgvMYY$usnvt#{of?yqJw%dw!O7|u= z;*-)czQ8y^A@}tvidTeflE;W{tO;l?kLcnvWpEH@eib{Y5{>%kxxj{B-4Lu`FgcP$ zmJrlwJX))7))-kX@Yoj{6G2v~s-(43fyKjHsUd$6(dQlGX}nyfI%({tEU>!i5DKYZ z?$PX$rh_$epz_Qy=kzJ43)~O+)K5!<8j&x`A=?1igmB>o?sEHBF^-u)#OD(`wIGw6 z(Pn17IbYQ;(Dpjot2n(c49p~RuUuRoXM~d%hU5oggn=9gTC6U#<96*F1(luP3Xg7{ zkIsxO+;XBv#K7qqjI-p0m}8CfK3$c?XOK79sHu})ZN?t(Phg60wU-zxwxN(nxiY$D z_?WViFkZd+cH!w$$+8BN>7}uV%fV)E+FN@IdJ?Ny7e<@P(ouV3hdn$X<_a;)Tq&_L zNqv8Ln&sG7vy9zsT{v@O&ndQPadDef9*e5G;!Mfx*D;e{3nx~Ez~lBp+One-Kdg2Q zP)>)z#1m%EyEeqZghq}-a=yo1qV2Zl#s%8>Qn`X&>U~}q`p$HbtRq|A^)9zArh9sM zqTXeWYs&95WV+Lx%NIn0G((}8#Z4UxGUI|7tgcA)sIvlh{miqkbv6*fXUpYcmv==? z`Z$B{dC9UL@3O*o(043i#a5H;qVDf)M6nLKl>=ieM%ArC9RpyoY6y!HHGn~ zBwgiBY)jI^tOuPFoBB7VpxJcO<6!vvtnp^0PkGYd)*PKaI^Ge5IsIod+N#GD_ zs&%xlm=LHNnl~)xngUy0DFlEf)#R8TYgo)9kkGi89!@YU=9`Z7*c60=!vFgho;-o9 z9-viXGlH&WX69jybz&xb#b$aY`GXkb=7MNo1he6bWRXF(`1eft8ELKbDa3bwKo4(d z9Wya&9+NQ=2Q6d{Xg)#Y1U;l@Bve_AAFfIVxTkm~gPUz#nmB+9$S*HIPqU)H&E$sW z6*HWh9a9;=t|1rd9nRxy{#4Hg13 zYO<*75eO?ZgIVh?QLbcQWs zr?uLAu!PW8VmE*ZGtH?oe$HUlr%VxZOLUcK< z5Iu@!0`Mg;z|y`#?9pVgfL+}IC`PmY`=_5g8OCo&$Oer&IE6HtzPUkLv!zB^EO6uH z@amZN@V(%#ZR5D}zVsP3*^$Gc}MyyMsVw?(!p$#X7o_tJ65c{*_F$tDrwJeBURL%sc;S1P_-L1 zV}f-#`_@mt|~fl3*_`})V}TB2D?=!E12 z*kF&sF*GJ@cU*F2?SM5_3_T1lPJ-*VOo(Q*8$IXq?+(IYuKNUGlM1>OD^#;A%1dtY zf}Tja?FC)$u2i!9nH<gXxP@UA?$ORDh_knD1NyyNyMK%Ru)dq)g`7sbI-skfl-;9#4n z*c%1~V7n`(O95LsBYv<-mwficrdOgbf)h;$l+hx`W-};D>21n~kBHs9X`nhm;v0THgXATAjcOpDltGmc=P3%jkZF-5oXT0$lB3iPX74mO z9-$g+IDOC-q+HuEmYP%QB;eX*ZBr!U)SNl#I90pl6d^+*<5B|-4Gva*Kxt44k3hZPFha3=D&&EmUw zne2vSt7e;-p7Ma1#fw$LXBi{TN*euFq`GU4lO8Y^B+r^xSR+(&w-sX;_Ru{}G2N?~ z(Q^2OAT`s+H^-Kg@d>#Ux5TXfSkZjRdRV|YpQrANRT?j692)L4=Btl?U;0L`uJbG`uI=StM-lm?aqV3 zjMKw`q*QJEvZJ@}4t+|Ybmc5lPu9tTV;8x(eq*$O*G1IoW8Lw>h+j(@wwQRZ!N6W?#qzpgspT%e&yQ3z?E=|PDyoqyN@^9Sf^ybKDKN2i>=W3x^V5iS08^w zG97~M+sau4og&AiHai0)X47C;@jH#~3^=K}^1YWbkMF5lFS$Th8FU~=4Rl0T#Shp` zQ)me$l%r(=64)g)iC=p4@o$PqiI)xgAX*U^Tw*M`9=^YeQwZvo`C3y@0D(J36QuI* z4QMGs-&5V;Xc*{3IKUl;(^lvAC;SagVI4H3jHliXgkwx? zWsyh<_a-6eE#$l0;p0v-7&G*}U;STR{;Dur{>#pNU6B+}V6}umbVcb@GOiX6=L|6*mK7mj1I^r%seP+!tCGCQABc zozv98Ss)4`CF$npG%IFr*Ri(t#Cb@+d$byFN((m@mwx@ONdvd7zH&g(52wd7)tI@2S*%rXdIia5Cn6<=({E_TgKY zz@c3f1H_f^Mw1h-L1Oznl>o<{);!YOgdV{hLnXH%>};dXJXV|ISkd4j@UP`(tB6Zh zY}_?ab3R)=rUgWIi9}K`-$R|8+k{6J;W1O=luW%$x)iW7F@ng=?&7RmBk-U9yBf!1 zPprZ!%>^>&Sd2c(2NmPk{nmcmr!SapQGH^jDOVilQ${GJ^}P<;OWZRie%$T zF#FA@d&anXDv8(sPu#o2%95q$LZ`cJUlU9aFoQu@q3SwEuF8)0~r{ zWM=G)jL42h=E*(cb}_&_bO&&`5)w$pb#+~smTk2#2&_9`%gnBXm;r(THAIY5`Mrl|1?R?bV%YY2Ic~ zSS~%pFhxvZQ-uQ&$V|Gx*^1}X{KkZFzqhu4s6aWifOK_aYV1N|dDsKwbenEAIM0I;T z+~(uwarrne@n|@Fp-@`pb-tRUSDKl0Up!>>UKtb9Qq}tu@2XdI_xy&E18cmIJ*V5O zypegEVB{V$$*}zy9p;JY$CLlOlc$1Ro}Co}%x86&SLF4Uzbb!htgBxXNX)b?a|{QL zj6LI}i}ZTD&inr+xjB3R(|2oK=v+#!$*q(;A4>{PW>U6d0%Y}B`&r)pC1L$#Rc?2D z6RsF4faC5yE0<#QmP50m4XRVVx_rL)WR~OyDKJZG-fuQ`mhP>q-xV^=tneEVlTN!G z8!#y^^v+}K%WdheS6q;5W@X<@^B+?8sVchOyw+)<=jtFm`p^lJC=hlCPgknz0S=|sC7;tYtdQ>kPDW8(Ev1r-OAyyF#ihGRgw zmyNX7eaW}S?cGG?u;lGH|H|u3<||dWN~$1rX7#_;;Hnzy`sF)QAqc4B)+;4n>3Og4 z(E3be=H-8`=Fb(hLkH9({H@=jK=l8&0`ZLkIEAFbe3iDjwd8fiF~flRYbZOJi2p}b zZ1JOkQBS>yH*(0Q%ZSEW=)-8OE-!?Wa6>*idG-QxI52-^ z@*x}laU#AkYc8xd$E=dOa5_GC;lgnxEo?aXk7qeXT5PJase1ZKM~Lja!1AI+s8R=> z6;m=pX$-avYl&($eBXC?E$$Kb%JPxO59L3RXW2$tcZJztPt4PuC0N^hO7MdPeG@1* z7V$XL*xFN~<(0Wqj`-LXUsYq3)RX^2KE*0HfmKS@hrJc3>;Ax91a_a6DkK!^{z!WV zT}8e3kh9`3iZ2Wm1=1sc_}Z652cJ8RKlSlZiQPVNI3`x15#eoOuTMO47DA3h#kMO6 zDy`qAP3CD8dx0I#5(hovh%;)T5HRj&5%!7wE6I`r{ir4XKWH`8VyEWXqiPI?>z%8d z;XXVOY;&B;(sl}hN=SICkJ$-BReEE%BPLAPXGD278Feg`T+ zr=z2QV4cu*c~~qBf4p>`mN|)=(5$d3Hs4C@P?s5uIR#?pVLf$3R2asd${CJ1-Os42 zk+~h4TO{?3CV8DnskaIb<@yq7f^y?Y-e{8dPPu}xVEKs`NvZaaNyOF)nhZ`v7H>rO zJXK@3q$K!YjA4D5es#=Ju4d*(V^h_HFR9Iq6ekCnz5)W%!&%R6=_4x2EM2jaODo(A@tcG!@ZC{DQ1g}GK+D9$=CdiXtkp!_f^H81^yD4t z;yjR`FhxRZpIxMQLd*3jdwH>z=S<{z;#4cRA#!O+r=VwrRjwK-At-Eln`6J+pS=>kd7j+R8>@{BsND5Rn9#Oq zwE+k8qN;jb6q^pg%EsLO01{0y3q4rW{^}?afoWGO5dp!%o zxOp%6=!Oe7u>#`>Es2?fb=|`9iWb>TQqm<6CSz#mNXI(s+DtB3mUYUf?O9qUTEGPI z3}JwQL6<&1lRs9x66;*0@rX@rMT39cIyHY!+VQiH7J{OPqbS{li zCyNlKrE(u#S7o*9vL3Fom*kHAU!g%5?Td+`KVfpTU2`v0Y@EnmMRyar?h+0>9Uk0o zQoDwD5*&mf2||nXPAaThPu2Ru6GOJzw|DA0rcDgqbsXypOs!^@l0Tq z$2V#|3N}Ow$0RT3#XI!UG-a?j3Cc&=^iye?n?Yf-YjjGl?`;n6>yGwG__ZZNsS7i| z?dpn`GS75+lk49+Jq%6iGf`#9?gyu8DvBO>8fr#TQ^~7Txpn1&3LM z)jUs+RSoGwNgr8X^Od*lV~$|{5hOvscS<)}# zjvhKGCz!*;PsHoYvCo?C(+_uLyVDFfVB}4TX;AHROGPar0aDqLic5hjsR+kJXa7P% zu&c&Wz9UMcca@kUkk88by}tB^_MYZoAOwBnv9>n%dSBOb%psGp&hqu$R&gh(|Ht3d z9HXneUUhlf14}9fHod9!AE%p}hMd#c%=MR2_e{v=Fe>EOgGqu7beF#TQPIDq$$@@rcfhi7%vvImADyV)o;kbHOM(s zB~ner&?S)AkytXVP`hKjstTrOBbTOmYW8h|BG-9YF@#-7&~CNnDXpJ#D=juD43!C{MH=RzcdKuE=E84a$wmV`IwU)k%uH<*{2+9vCxjIzb!8zDE-34i1%!p z++Qz$K)a~J;=CkMcwu>Qj8$q8GQu%N8b%`$P>ewH1hX9OZoJSXBqI!S7wK$+3_2Aj z`V-bFEC;|dY3ODLHi@?AAfIk4E?Ar*IMw1{ zWb5A}OZh7yr!K?6*6S^N-sXoWBDM;wbL58Yc!>+yjE(ag{FI<6*0APYepyb+$7vlk ziBXdPX~>P*rR%gvpE$jA+rR=pszL|KVkXfw z>L@_t0)fY9C;Cj2CDQI`%kL#q#O)J-&YQA%*V)1`n~O%w`F^QJiYj4+W1ZrZ?K#q; zn}TlBNMz|u+8zCFvITdtO-l1DVOk@nDnR`N7EO|7rRV2LJ zYMkV(I?XhV|DLefqgAk337OEHt{Hw)t#vEGc|D7Bn}vIOt#X9CmSeb9kxf!#954L^xaH`#A%ajyht6l0H-h^#1wEzApB$Gy|nc5-9{RR~{_ZO+}z18gg|$IuGj#C_25T3ft9=QA9jKq7ttI zDx9;G$;DTAm)?R>Hel?yifr55V&QtwR21$H5K!5g29I(zFBt8Yjx`v7bX;py(2m$v zYn&u6ugDDt^pf$WlJW)^g1f+CjvCE}lukT21@kUXs4ZSY_K@;C!Du4G9yeiDM7p5O zK1p-kX(ctRc_8LB2hNnAuur~HqhUPtG4x-V+@DKYP7jfA9Kvw5#DOx~^g#6CtMP<1 z_v+(C0y%`;?ya5PFF8U(mepK^CeUH|rXciNc2*=H8ZK=qm+%ddC<&t!SwwL%>yD^F zyny*Us#>DJEmj)&?A~NiMW3s>SWnC?6*AJu^zmYxq*tlN>Hdl*;WArc>FL_Lg(}br zMO`6}c+C~|%k4yZpace3t`%{Gx9F{%8>uz1&i7`e@G%}&eds}H<>1X-8Y*&8EX8Mu z`1tI=QN>MKuV0*gQ0uC#nx18R`;te9w-%l9wWdu~JrhfR6rekX%08I%ii%YT30Iv& z@82LfrN`_Oxkh_+7H z!r-$~m8~KmRGXal7j@O7574ygEL&Fxg&xxgej3FPg^^E+{a)1xz{|a|G%>GmVisBU zhE5?|krRG2^HOLT3RxntGHdC=s(QaHwU1-5#`q)}lfV@7%J4p3;%a3&ALUh7R+Vh4 zuCzF(Y(Y@$aZzqdd*T&YC&xFrDO+Od3fI)-*z>RuP{~wjU}$gA%z{u%kjyn7cegUn zs{=P|jR-B;cU#kmiQbVU28m+L!|EU?b+2aj=b6>BO-<*xY<1EUcd!{Z48?C>Z+S&F zJb5-3cpBFyS#c!?UCkHwYX}L*;_GEYM*)2( zGjBcNf=E9PJN>>-XBK4ylj4DX1qwQ833J$d??wXtDocf&*vk&4kon$m=IKb?kk|cg zsi!(ltX>|4<4Qf>}{tnUD057a!#%@SbY(vb|Jb zuCmx+lhmFYPUt#;RxBocno=z29Td-flRQ=`n%Cd4=jDfY+anBJPeBNKLb;}jjYhI^ z`gkbJ_fQu+k?A>)`(m0d{=nA(p3N}u26rNiFFT5K=?MwjRO#`&bn&x`AJp2r>UGDz zY4tm`PGTY8=-rlFQKu8twVDLq;u!*u* z#|XW?ShshIp+k!xWG8PMcx>0HYX1FF0|Ljnx>Ua})t}+n4Fe1nznO9myV)kTY^}-B zgC`Rpy7zrpRSe`?}12VIu%EmKOqi4t{ZTAHJPV(d_g6b>*th17g{( za}E!>Nz}bp8zz_IISNmo%JfT}+dC`|o_>U-zdy0(ZGJWIT7svRd&QzLlu1WrRi;OX z#XdOSV!QxRK(4=d){s$GH+mF38spCG{JN^}y_WYAPq`?%@WH|YEO zwsrmZ{`bk%n6p0!(Qlzi(}eic;~*Cme1bq~70?KIddS(_{%b3l`=DgUyDHkfKire3 zZ-9WPlB#r!0PTUu>dViLZ$DZ~p}~>ldrft|ZFg4r;WU$SL*rlh@w<0}XU#r8{yO-N zmaxBnVKnEA&Y5W`L9G~Out>I6LJ&y7HS}$QB@)!oio7ob{s)5#rk=UP5%SXEd#?v- zWXK1DG++(J?iU8+(&x=Wkt7|<3Wl3SglvT5fG~{YB@dV*iXmEIIiz9}^=3SiV^ReQ z1Cb18_=>`tbKX8H@N5Qrq4mtFZHM%+2AQPzKr+-_)2N8F)P&uPv&tzY$RhzHLxHdK z8Lok9BJtdFgsd-g?ko3_0ksVUzR?RMfF+VFnk>N5Kvd0Y_wr}QBa>U$atRNK5)uJw z@}#~*zf(sQQHeV?+lGlSrO`CLv`%P6;TI&+I@9j}^V{6!?M@ojgSLS$aFPTFWoqaW zp(&rU6>Y?0w=D9NDq!C&v%mQLeRX>IeROU@bs_<*6xwcPbiOct>&F^nUwPN$fQHAON}z#Vj;Ct69S;;D+`Hl0BZLj&bf^t)yl^xi*iB-Fi{fyI;= zj!ka&B;-BhKC=~%jkT}SO>36vlAIiK!M(Q>WJaT4h15mwt!mF3nrA*oA2Z?fA^6=y zwqPev|7D%GIabK(NC-pipQisM{!MPALXCQ{`;_;yJd*LY2 zC>_TgO%{v%DktEKZV33J01&q7wYC1=s6wi9scB!C0 zHv-@f6HJlWbHw$)i0fQnP_xQ%d*U$0_tlx8m63SMAULQ%fgThq>ORZKScyL+s9{zL zUt6x2(6nJjKR9`+y87Am+a1FeuHFubjKT+--qrKE98~5?kTgmmizHzYZ_4p-)}yCa z-i$Ao+V8VoUyJuLZKfsLsKKsV^FCj_no2VfNRPmQ>alPx-oFx0 zkZpSP?)msKm+pj+-td)<%wrU+Kmx@*?3ms(jB_np(K;xnSZare;4D8E|+yN9t;9Dk|;yRH@7z((A>roTI`RN=z8U)8w`A~lnWd($qS=f0Uf zBU!IX;5tofTr!-J3N@-|1<<9v;gRfq4ZnP3Wg(9qpr+9@mr({B-)*&83R=`+&ZtbRjXFqGZ%F10QeJa zy5$2JFG5W5h4BRCzsNTk>88m4PJCt>`JxY#{aFj8^IY$lgg1AROMkpThe zxZN>cuWr`qh0#M|n_kpXby%%xI!;Ou^Yb~YrC)ojw`3GXsD3_CED0&b?P9sS%(Plz zJ0&Ev^6q|?=)Yc$L}_Y4Fr4VKugQG6TwQ~y=SYmSXy$2Zj?`&0yxf_5rfVf z<&lzv{O0Vgd;07pOhMewhWr{1Px8}*t9X62tfi^A?i?BBfQH#_1-mjY#vwc`IFl+7 z$e#ocXypq=$7a?B)4xYlzexpPFk2)8LZiYet8k>CgZ{L09<;_}?Hi?GL9iGbnYU(B zR%c5;J(;^SUr$ENu!i_!R@yVt$8u?jg%^E8n#!igIov7#G&DS(2RdQGd#*I z(P4RcHG+ru;9wLYrafO}O{{sTe!iEzQiy$t2(KdnrekJU(cDpz$3szSlD?N{j4IlI z4~R#sCu0$9r`6B*vQxGwDO|PrCNt@l|K7OJ`KtoX` zW&dW#L8M|f+1Xgb&{5_-rT_MHAPN}Zyuro-lCgl0rziToVm*|o7~+1BC%srzhvi!( zy5T4>BA~!|hgIlIMvsRxMPK}m8DrYp1X`whQ=@Grti-cF`>Vt;TS68JnDQIpQ^`ol zn`1BN4xbx9TGZGW9`8ymLQjzljcmsAg<|aO{??_>`gecw?p?%(+~^~O#QZDfUkU$8 z_?Nu%!v3t;Wt=XG(-;i}+qhy(w8`Mzz5JE(kjKa3l(xO@lf9Pa6 z*&K`vtMJ}>%BmwB@_)x#HM#r)Q}eLVTrt=UcH$#|C`KhY; zSTENSH(yW_oFQRGS}F7C(8IslH`3U zuVdS+m7!l;Fqxa*dHlmN-;zJ9ZHx^qnsvh+cdAX^$$dFQ_lAc;;=IP}-SR*grJ@~e*=rYZa{H~mTKzbx7UcP%0eA~jn zvbD)y{_uoqs89xM>bnb7eyf*&vzbdl$k$&A1X843Rq!>M`}Kik-CMZi zvA1o_$R34(b1k7Ks&^t`mUnpfI%9Q@7Nk_=?f72YJn~e0t8rE#=E#+_Yu@=-Rn8u1 z-d)vNj-TA)ok#J}jf%VU%&ohe(Z-KF_O9^8$Ef&eQz+fMFyeLJT+IK3mD))Hj|M73 z0@89vSo2bCvRIuzS%RrsTuSXkZVk<=SPj&ThPmmnyoAMMogJzb4WSk47A7H4>%$1O z@Vq3U&%PZcg0n+dCC7H%&<#H;$w#YyL7W>`{vG1qHvb(si};H{3bBZ>X=0&MfOA%V z>zLBhHHxFqLd9u}#9k8e8X=CkX+li`t~f#Byeh*@sD$?aY(o7dFH%aXGbA)ZXv*jxf?Se z9kz;(%s~i^0?UhiC%n!n9c0CR;K2|?>qHouQ4n~E725%?i({L(K@rBz{j41SsAaV9 z@o%4hW3-{(A-~WWS2($e?`O+%{s~h|V;tbboG!8VsgZ@TZTr+Z;RUtl@p?B#y`fs* z*?yo=mgAzm1I zwt*!84GY8D8vpVWKjHg>A4M+tqY{qkz(K1zR*=Mu(s6y?@k8VP{n201Vn3`lu`E;p z)~R9rj~6k%!RkX!EWwaWpx%f!@ZA@ZCFoy3i4#Br9Zrq;RQD` zhNT>%lcdrvR?_P=)*=1Q`^e{WT~`Ws^K4CxZdJS9gSdtH*w@_ICNwUr<0j+;x6(#A zY7Ysnwva>`G7Qu%l)j%|e#0{8_^}_`%;+w>FANo~O{Z(Iw)xc3=b$6>F~y23@u|}! zR^rE@?FEqHVI9_`)22R{837}jU6${64>Y++XJH}sh#zbVLdO^Lc3JVUl(%;eE2e+9 zV#k&x+cpDAQCjWLUOT>}-p}3tj71vzS>RHKWD)lbBQd7DEW_bKS}9%g)tC)}f3DS`yo#r{8zskE-K3QDLoPEzTlBEwIX=W~PislW7ryrZ;vhfO}O%_hsR z9yZXF{Aq`6RgoX)zA|G@H?U#(hcYtIBLaLTC$IYDyROUysz`vKw!ArPCPPI!!D2s(TNl@7*iYdOMkq!4Zq96-wp43au~SbS~b@Y`TsVkdWkAoLv$ zmV}G&Y`il$7P*}FP5ibWaX z_#Lqpuy{O>FiV3y)^TDdR2#zeq%C-u=ALk0(!TB(+`6t{1^!nV3O_WYoT6J1QuT4mGtp;_wx5nyeI#uNvtUH zT^*JL|2q+55DU(U(V=v6CcKKgt*Pfi`t8X7yNS_AWZ6#zaQvuvP_aNiHMuYsg9=y@zvO*k%F~6gfNPQ_33o!Rs^v1z#>WbY)Wp9vFjWeHX>(u% zfKrFn88OsL%@&oaZF$W*FM6EDS|up7%2qk6$);K6X`>~qa6(|#ErV}UlMV_S?8AZb zT_T3nKm8lzmE$g{V}Y9Hn63H`n>vF6bo;>Gx~zDf;ANN#V-aK3Dm?v14x_g+mjqVe zLO{k-SjnfVXazJ!!0s#!+9_|9a!aC1G2b^Ih98gO89>g(wfVsi>c?EX9bNn92ekCE zxZn&3`yD&Dx!pZusQ=95KOw<)Egbz#HwexBk`Js)YkkOtYtUS;YeDJrJeV+xP(tk% z{z>b$b*!1UMPe;4FdA)aL^x(g>2CQ+KIW0q1BZ;MZoby-=i6Sl$a|}D-e;9Fp`G@7 z!G1I-7Pvu@rlVq_gcrpV#p0pSK0Q!O5SHz!X7LZy?3H%&(>*NDaH>$>Qio%&P#nEk zA^+EHD(K>*`Os8Kiy)jfRpQ#8R8yUmX0E8^LLFDDmE6}V_{%j@;3g^2vV-Y}N_?$N zv(nn|#`cX0g}-()1#XxUGA9X*_QzNkl)~!J%UkdfD1}cBsri0?&_2^26jF*tSuq)# z$S+336!Sg4Ggg;ljYT4gg2at1oT_aBFNqzV{MiC???%UV{m_Z9&c$&^kIZ1<(izf* zk!LVGlD3`W`A$eT)xdSRq%Az&42EIs8?*;VlL-68bG<0A63><=GZ%+!UJk{9f%=>v z#r5nE|Fc3LXFguh#eBi!nbRo97bs?=hh~bC#KKt;){y5c5=O|yp@a1sOP$4Q(7+)~ ziUk8biLmszdO9bL$ZbMVF7n-*T5cf!Zwp)!ninM&{vcv9p7E> zz!c&5D@ih{LC-*+&dRoU%O{JF-nRJ0HPmwyyI}0K$dAx6F)v7?5XT?FL0F@=d!@|J;olGzsoar z5PgAf9ovt6Uws#$t?(Uhijzcr7cb%%U-9-BU&M>V|Kfx3&-~;KID-sh%q~Xjh~HU@ zjhgUf_c7tbHL~}QjBP9H-A|eQH3+&MIj?sJb#4WC0s*+H1hwG-9HF?94%r2r&PwRt ziQLO-$-}8!``p97a|iFysG4BF#&cuAK*i`)`Cmosvj@fP9vbi_ zKk6h!{^O2UF%)_3y;z1OU6IudF7mbk{YiM371BcGig zXg;d1YAyu#ydw{o8HQiYo4%4xR*&@VW!z>*w=FLmHoK~LWz;097I*UVapuB<_T{?t zU@~6sDgWQ~Ufk*}U`tQgl9;?X!Ewt}5JL2K3>$56dS~yZtr+7MQy6P-GVh4-Q3`?* znSUmaLy8mOM8?oku0u$$B9JC9b$M$_-y-_n;G|o%IOT}9{@^Tx<3x90yg0@7&owv? zHy6p*ZFkT@A}I$alRC@Aqw&qMg}i2>@-*i7vt15-ah4|q{3&blE1B=hiU*Mu zce4*l;`lza%7pP}ThXzjlNroU-e``gMvk4T*%M84q*LW> zG|R3lK?V{Gn5tC5XX?ILJh2&ts3))M*X8rQh&zKg8F3@|E3LwR^w$><>%^mDnL7s% zCxE#aSUQB~`LeFN66dVE*kTLVlOvrGkT~1mT>dTVud5m8wGQQ(Z!+Gw-WV&`B z*lnbQW#sYbE;m4&EIWD}odxzAMzId$nu~Y6yV`wa-l`VesOG$?nlGxk_Ndw<$_vV^ z_7mlFXy2NzO~g+p2AG7Hr5gW*Abr^rk?th2>b8+?!n{Jh*#=4pXH2Y0(C zx-&?=GN17O=;XbGgR%1ST*%Z`m#Q5DJ7ZdsqE2MMCYv}!zJ|dsad62!y*%&U;FXBa zX{&r@@PinDdwYHE@d+0D-Y_X)!4;$Mr`J^}x zMuvm?S_JpT$Gt@^zB6J5|A+w#K(`VGj~^-xW5b=S!LD<=9|#%J-EMM|>%lYo9b;)S z+r#Tc5?^%kU~*0`&17Ih2MJ-14R5jpWAfinOEA`1h0*(WN0EQig?Br3q@}=U_3cQ- zveRvQQanNKOuoeH(d$ljrrFZLFxz`wc5f@a8PVeIFs1!KgOK%7!p!OXJ<%w-S&{o$ z6?>0*>;BSrGjLuR)xIe5zw{8ZdSng9P~pkIvFDlA217L)gGga@z9d@vFc9V5JYT14 zac*v_CE-@-i%5i55|*fR{RQzLz(A5bZ7m|SZo5=+FVlKS@(F^dz`&ui^yj2_)~Z{Q zB!q9-SUpzx%OAiTTjr}$e&JnObZuIZ_MnIL@^Fo{r)dgt3EtMtO$DmTRxPSXfDcpl)Be!fsXm;ad7D9d)wkh zWVN||H^qo&B|Y_D`W{c8x0u}cpWpGhV`P?=Hwv?7#}mk@&Bhd#@;W_R&6%%dDZem^ zEZyQ55C~bEBiHvEtk2!iaxEMG@9GrtRUlt_2FzAEVqtOUFIxDkZ#jepGtODj?D&oO zGnm_FhJqe)-kl+hN5l)>^{eMQob61l0dtcaPrI1GWcPh?Sa>*PV*ILy9aF>L(+RmH z0yXB*rWN-k-WxR5u{*-L_*wsjDgA6LtBYV#PM(P5X`C>cgd|4A7Yx2zL1%6aU^xUg^gC1 z*ps^{Lv&S0p>D8nj3dsUM;z3y5~JqTHs!0SX9bYR%f!UsVon&fSz^@VNGwubG?H~q zNw$rD_b2b(owICz#Yd$dNXMg!F})F16l)2#ro3(CHfTo}RGcM+mr8L)*{Esk$3&GL zGRA#IR#b78F77WFs!L8VgFqUH5$8s>axpw

      %k&uIKr(Jepx zI&d0>y5prYtNDHp3-4T}AFKqcIv*XdwkKpcCDMgaW>`trf(owUsNX99g&Y}R<5-bT z2ne5d_7=f041wP41IR|o`lezg+7{nNOWKr@I zE(XdmQrbJaOd$)smkYsCCk-gtcbGJ?5`*wV8Plfi?kZ(0LIqDEAv2TGfV4q;qOGfo zj#~LZoDiZ^1ZWDE%QsXu8t%^9j3kRUX#*}w0)#<$icl!0aAw(EP_djnTx7k}geV@w zvT(?`YCNGsvt!;=Ye9#{cCHvhb6y2E)^fRmDO6{)!LxmFAx8UNd`t*MAfF7u^wE^0 zHYQ6F@kX7<8HOu-E|>m$BJXpDcCdIR;}3Bh3_tLxY5I$;fAO#g3b%{?1;-3m{S;u8 z^X%C#zWT+(LKgNA2ckfr6blVTgin5neJO_)h><9Qjs7RcwMATr>R=VeGBy4d2@Hl+ zVz*DRiF0N0d(Z@~8uI<*-^M@xkG*@>13FmS%K_$n3lq4iYU?PZUt~SR{#wg%<&<)h zW85Ze!Gd;c0~5Z^pDPL2#b@mb;*58{_?>13AN*7E13h#-J_>q^M6PKT>b7Q)@XKHk zs80c(@|;B&5MRGeH>t7`+LvFJ*)wEi%~8n;n9Y|bH2g=)ij*uzE?yRl97ybiLL1cx z0%YALvSW4{6@!#Wvb##ZP<@J(OoyL*Q94c*5tdZn5-eh zSUo>iki%!$57+JEs|u13LcWZ26XHLRgIZ&dj?IMg7A*gY?UXmQYV^>SO2kT<9SvPZ zb(Bz-6^x|OV@ttzkW~gU^Qm5a#cVM*ZQVvnytJRE^ol4R6G8D_lOFXbv~KTl$j>Rt zQ%b=MRcd(AIJkTz(U%^LLyj3k$gk=xZ;85>KdmNXO0}rtDy0I|V}nwmQrM&Oc(4$* z3rCaqGzWr?44voo0z6d@JvKchz}JdVBS}JQ;7OkQcHOozw>jq6ntix}g)eHkN`rp( z1fzDoYB_vKalT9&%yw~O=F?Nnusl?7dr^w{N`wppw;$)CpR4qPV(dQ#9@sP;G_?MX z7&6%OCv#ch^2oGM%Su14^fV6^K3}&3rBh%%b$pCAnD=>&Wvd?+K|lIqEsqgE zT2P2Z;mKU?(i4pOsTe&??O<&Buoo8&N=Bj`4UYUosv26?2OP&qu%^d>)@7J%;bwTh(n0%1x#GCB8>QmvW}sW6xh&Sb3X(1Ps2$W

      4B(7S5y%yeL81s)lqu+ zOrmj>QNvSL(cu{58-SjDFj{h$JVe8q2;&$SRMBfxFskRtWC#*jUKrurr0L3BRxMc? zrWH(7E%YQz#>Sd%IgmrFSl1=^$0==u?}lM8(-l1)dTG$hR&@-=bpeuGO5%d9P=c0S z!{~;wZeG8aIM)LGeg$PO29erje3-SlNr+y8;`AeG9Fb}aMz^v!lYMDOUSsE5B6{-) zt4s%7hQ^GCmbDkQYAQ#yIY0SoB)Or5U3hoq)d#~YU^=GHtk@+xsEX-{8%!tNIDgc? zeTT!I7s#iAEzKL-I+e|(&IX;X8hSE~)ndX3J|b1c7U_bpDiO$P{Y?M8EymP`zA^7g zbB6ARn25?GBM66ptbJS4+9F zE7I*(ydKSt`;3wAYXwIKF$Al+C+12QZDZg+#y<&*wUyXm!N;P<4F5%}T7sF{IQA-D zgr*RHsy=07{WX4V3}l$4fhn;P*x1Ilqr)wOfFPoS_|THC ztn7pyIpz$HqC0dsQ`41l_Emvmu@dih4BjDj_JM5YMRi9>N%MhbKXU52Fk_kH*!Z|^ zl0w((kkQ3?$4kL|zU+z|$Gtu$mWMU}#;U%eE#K@;nCoM^I-DtGRikN5)jk=1ZkI^Z zbWD*gSfn^PC|26%eq>oW3O^qK|gE>+JFj5*0x(#Jo)!3 zy6Px6G>+7)*+V2Uz-TU?F#fncOnS7zVvZ`Gc>4&U85h!CfUgIwKt)UjEexEYXR`yW zH_V1zJs-XXSqEaHX-@ZYXpj;Em%!bi#lzQ)%dis!qjlDPRgZ_@}2-=F6QvpXC0anlt76 zXevy~!%VMqiKNfy`_Cx$TvaEE_*~T(w6@3CJmf+u41G8y8A)UOv*c1H8vWeGkzgeX z)XO?zpn#=uQ8 z5i!Rsza%+UYaVyxZa9(xX~K<}mPV`}AE%)^e7}*G9QsT(7JUHu@~A=>Kcy$E_H+VH z2o23Q0{MQW+~$tmr79ST%HOdG^C>`nSBDzxO(B1Z+Qj;^Uce5RzOE+@j$+J#Py28qSq`pSJWWS<)Q@#`Jl$D?S*W zuPBx@3B09%pL;@HtkRU`-i#<>L8U!5Gl!pTIJr3@W8YrMQ*b#*PRMAc( z#Ohs2IebWaq|3oVj&ThRemMvYt##FHF-eyKWI5ARp`M$|y5se{ zxQQ;S8p(G8fj!8GER>Gr^|-@ig8^ElL|6xw zK2j*BiHD*RbXp;da}1fjs+`8rH#w~ptyqO+AI+m3X8YRtws>u0b2}V2cl4S00&R*5 z2L{KAydvhM#Kox=?Dg^;OK$0jYeiS|J3gwWxZ?uInq5`&o`M*I z0xv2q8Bjv1tF`ki9kxbyitMwk#>Zd+y`K4?pn7Bw<*SPe@@5NCGGUcA^O`QZ%?5i2 zHiji5%`|6KogL`!3`svfJc+2lVmTM$Znf7_bMUep=Zw{K>t%-;o~z z!DU_l#UEXH2*r1N&gjdcXiWtzv=dNhx)C=f4oDGSx%j-wwjLDm29B!1bJhF7n)JZL zqq9@;ny-+&PbTcLK@ERKRAEPtJ>LSM`6vn;7oJzon8uOfwQb^uc)#wh`{0+a%sbwjx319ctIed?Z;W6{4P_6ME!sh_=McH_AB`TV zeCyZc3qKJ3j7)ibrS}+F%$zXLI>2UeCOVAN4ucz@?yB2?Ku1j@HAQ0BzbcT9=+H>Fyi~?mBJWx}hhx zzTYvYukY&e{Ym-mbR`idgZQrJdGO|yHJqJ!Uipi>9hossq_)^BjiEJABT z^vu&c`9YquzOTy;r$DE@w<9J*B>vs^+Wsr^cFfTk|G^yb?hfT!Cv-1Kv{o+Z#73>6 zDXVYKJQLrYs@{$JFbCzl_c(CcpSEMcQ4(2xpbGw*I2OwhXSCUMNV-D9rum%fyTVhR z8kz90Ey+uelTsd5a2%^!)t0E2#sVwQ-spm>FAjdTJ4?Q-FO0Opd5wYYSzowHm>+ojH(<))c#K2nsv2a`Imz>+cyZ~n z6+|pf-J&pAvL~g~ycw$3rkEy!Ius$d#wx4bm)A4?z__a{)xMT1H_fgp%bQh!BXdbI zNS#y~C6Sc8w3GHL(z8NbM#8S?Q_`tmtiVhtR{-JU6#;iiXi@P< z+*i!MZDtImCx-cTm^z!jl@nEYT{;mJVTP?q7h*WSr3a9hJ4FfulZd}K)bYxSP;}cm zUmMsyVMDjFf?2!fM40q~a23pj5%2pSU3U>Dwqr$x9Of~bawxD<=d(Ip@pW>VJXoMb z=*WqYPlN}U@^sxKs&kQo)siQ^UC7$K0`kw_NhTIX=L4|1?g{JyI zvruR6%ZV3u3`;*YdboRy)Xf=|^+4&(O(rjf1(O(Dr4*wz=Iff3qJ_>icAgr7$Q!C-o=^N`0|_;&1CZfNLu#3xyBXp*Quugak7M@(O04*FFmPofP`JRh}9@R8sJ z9-XcO-8Rd#-kwRybXx~`n+}OBU`VXwwySF)=*jkX1jh>)u7nCOq#M`R32W{HcRLm7 zlSLe2B_KwQaDH$iJ+7`FRyG}-!Ewrlaqgf|FBbJG=v ztey*ZuY_NxeqFj}ExVRm#*z*N*<3U);ijTzNne*cI0y08OGs#5m3)=>b=iTX7UknO zc;~|1E8$nEucZHo09aTiETPzP(C?=_&n*p=<(BK&XRn@r&QEeDPXYl#Zqc!OMUF7_ zr8E1|5Ywe;4}5h{|5OL{`B^R)!Ol$Ll$t2-lx(e{6)+mtt&mcWe259+V+`-?UmA%GT! z`k-k?q_pU_X1!U_xWSyaLSptru=fVTJsUfN_P` z7l@W{!npsrTo6x^`}7-!vN$sOfdGevj*%X)Ld$wRXu!A)j4cmqCxK>2m_y1$7~P!! zFOCVxEQs|vO32n2vRd?+7Zol|d%j?%4druDPLM=Eu1QMB#C~ENakRT2Lw1;_r8~MS zUfTq+fwDdf>5kqb%|rwI5W(7{IEQZO6zV}JZ2u}-PbAW-94Ty6$hSiIim^Gyx+_mS zhm9i90c@mLNERdd=rc~$_>VEFmqi8RE4AuN_mt!0{*>=i&YK-S?uibEqw=#*QWR#B z!lF!b<0|ndOA?yz?T@@i?7!zp_ajMmbv8y_ehlId296Cfw0SuGNSu6~-HAUEpq?&e z?~{*YOqD+!=VRb}Fs3Ta%KM}>WSr+m!aGmPv%L?7uE336SJ`HAT=#=9*7&*#*F{|A zv_2WCU6=B%U^1GBXru+-ndJSlbqPwirGbpuSZ#wWptv)4dXfrZA?u%`_MkvOh9rR)6rNU0I2FKTeZ=VkP^= zHTn{7YB3Wz&4Nb!<~Q}pwKT|z3+eV@0;vL{(#*PO(?NV=8`Zno9w_>okP0K zS82g_oF3%UdV&F)9Zhc0+--L`;aQ2sUDe8a@%wLn|NC!#`TaNl+4tZ4`S;)a+orHq zROK-(vG!JLh<%gvwCVP#`4|5lUn|V_(g2Mq4-Pz;l*F^b2wfGbR=@be?|<>f-+%L; zfB(&|P$0j~Yi#qMOku`o-&Q0V;Y{a)ysaLV$OrtI0Ao_q|K$5${E<}l-}(L*|0!## zezi2kAWrSaw-tTJFCD{7QR)0)+3TuI`HvL+duUtrZe9-P`!B!$=I?+1i(h^J&3DvB|B{)Ub*oxX|4FK+-y7dPt<(!51_a^n zUm1o~KLUR>8F+QYm)}!^HtUDM8w=f6SWlHujOot_eN&@Or?631TH{~-RcSmnlj6A& z)qf?^@rP*t*_mPd*Nhfam(9mQVg=W9K5fNU2F57~HRhPLG7S*Bd87n)4pQe{%UL|iJOq{NR61{0)f0xlyTPLrt| zN>AhY_mHo#?=t6AsZNr326=A!=OEGo$Tg&@xm@Fw?Y26={Fl1}rMzO^IPl;tZdQit z+XDP2Y{<)tWLI~@>S2^jZ8d3cg!L%bBq73O=VC~sRW2%+R%OLs#CuZiMnwkAIB#{s zDa-|NTEn^3wbs}`ChbMmJn;(XdkZtS?I}kRH#P_%G$hhlc4e81XUv88X7`J86T`s) zPO-yI3RE|1>Man)8O~Jq^T)37AN~f$V#>}ySrr;j#Yqy$sT6w075A*Oy4`=j-+r)` z3J-%PVqTtUfPnmflWa<&Q?vSVNzOUz$vm1uAF zNQwJ=Cv(lNmjGbPH$3j`RnZmQm3)l(gIN*mZcDVgz()~$NMfuj>r21QZHKneNO%oj zcx!7((26CFcnt2vx@82I3J0>KJ!KvFE^0pI&?x~mC)2{~S~-&zVi zDEB9`p&J(yVhNY%znsvEd1VpCzfeX(F7LcJ3#)TT;IbEajY$XGW!jP0ZldeTJS#i` zORg*}SNv`1v{MjkrRS17toU}nHJ|88R$w&o6W@0BDyd_w z%MJZ%x80?z7`CW9Vnu^8JLjYhcNvWC(v$WXZG~>^ljSLPo_* zz{}esr<7)nZU_L{kaLW2SbWNH$lG3RSTUMWU5g=1r%`OOBvSzr3zP!OGIBV1g%Bn}J4z0q&slx5Ap-`e{;$}8MRJ1qqfUY7xGu*;t5 zxV$E-WttsG+o_yCvFDjI;rKX28axt&F_bN37xDd}G6fF(YO-M)5#2eqZK_9jT?VcZ z^al;R!t|f_Si@&$^{l#}dEjtOhE0ME?m4>}jfVzW6=YsNTHti(_$S;`3{RLB1a_k31r|+~{^yNjglR71 z2%%(m2%HA<=m~RuJ!G`0JfvEgi?5fH;yjgn9UI9+N+{n7(3|yysgk6_kI*3qdL5ua z=^M$?{Hd8_ll%l}h{YKy39P5YNLEa-nF?{-q)+4U`L_&=gbZWJj!DhKtWM;;OI(%I zg+{iqL(`6k`9vda@@=VHA_akm?rd0_GO}2*^^G95txwtRNQW(={bLE0w*{o`h=SC^ zM~GFCz5Hoqgg$e$^1f{zt2KQU7!5%T7sabEBqcrIr)>E|%9MjuGXlZnch|B>UY_x7 zKCNLYdQw1rJgIC2!%XE}|FKSvC)L=Vxp|dP4(pYCcT*ekVHaLWTi>~e4$j6@B5Ms&B#JCpONi=PvtNNWXMrmlx zVx^f!&7!ekRF7R{{6D5|d?y?iF{rR@$UEVN5xGL%1~XF7)2mt*Lv#2@kNh@U8+mmW zQeC>F@0547`M&;u@rE5p1BwXRQ5+@1;bcoVhk=KC;-cwZDr4OYA(^(7wj6U@DZU?B*wOJ$e}fZ&LRj+3pwv$n}PlHeyz2g z!}d^Lg=%c7Xcc)I8;Q{EUh?1%?YUUeXwjWUJeY~D6QrqF=N%zGa7Ggc1u0{MIC7_j z3?~piv{{UlY#Wn&=5;+b`HsWEjsCo ze&WdxnJ*lZ^L`o<89)0GSI1UG43WZ^FwU47YR@O8o#91A11m&~eV#z+2(is1pro_}!$*;1InLE5ABK#x@WO)B<%3#+YXaoz2&I(3EnQD=m^QxCQeiZ+vMPSEt!uPNsmV&HHZ@aH} zOE#+jTL4GhS_#o)RlUsdqff-&Mc_sBsQ0aQry^Uh9?~F13)g!bYG-O|$DVVYZMQt0 zD2d6ufMhHHHrvAYYWU&0TrV;ct2>-coj&6fb=w}A3Up|J>(9Q89$mPBPe1q2 zN(I?a19KMi9^|bFPt~XNO>nzy|%!557B0_HoRu1n0i_=zE8z*6XnOD*h^btS$6UBdvo=G8{) zE8}0+&Yg6B!jkNS9_9Fq?SIW>f6Y6*wuLc)-e%X&T5f11r zNO*C;P$*NP{W?JcE!0_|x`BFCf{C>-fijE-oV+ovCuA3NSlMa>lrH&_^EzCE= zauh!<##19o_8Z@kWhlV0S6migIKn9DPlubU`8!!EzPi6ukT!18JGb>2RES0u)EtkD zzw_HLjd5hl3u3ilW~ew>;bhz7+?y1I^_d}vb?*X)6}}X1yzVH@Oy)X2er%k#O3Kx5E*(;K+RMhYQE#8L#1e=#H1AglNRZYkDS` zr};uASNt-w`chCQpLAH}d!DqkfNQ<-PZphn(jy-T_PnfyW~(|^d|16kV-nX_G+R@d zql8|qFqSu=iBeAF^K#sT-GK_l3xCuHLtxN{SDiR2?-a01W1V2v4_e6URdM2D8_W=S zV0JwZ>i7&qS_Hj1{g1seciPDH+?hJTeRVcCFIah-VuR&{eTH9PMB^B`#jqy2_Ys?T zRbP=T(byC|viCS4_7%NKqIHY!=qBYsM$mWOecj}e+}d~NH1GdoRyb?*aL~JsA^4Nl z+c92F&?Yf^ebsE9Hx4Z=a&@YUajDcS~ytb%bWpCHUuSupeqH{YOt(YK8~crAA@c^Dz?lBj62z|wkh9nF+W_G z6Z4UA)pe13GyD9A>ANOtt#&?FdJDGYpOt#yl>CTd*2D3x%hH3APT;9&&RChdy%gLXD9+8Ucil#qLyCTdZy>n}Ho3EtV&#Dy z!?C5wTCk?;xO4r*S@uEwrP&gp*NXK=<6lxlfV8=$&>cf;pdg^|fK|y3T3H(Iev071 zr+Qj`d{Cbgtw}5y?3X_JY#RL5t%_8Ij4&^)_j{QYhFg;fNIvGQ(IX!$`L;68a9fH- z1!VxVN@U2(_!0`|+5Ox^-_c=xwh#b`7kQg~O3`-NYG)|3aha72qP?$xkg{PS<7AT> z`;3UB%W9jJ&7&H6svMtpFm1QmU*41}?6n(m^-pulO3cWI+9`0EBpi?qCOOYHEu#ZE z6a8X?Y&}Pjk&zN^SzQ>n^C(v$9s{(XY02lPkRxJfkti($#1E$)fpFr zSpvoXeqWk9&FfqFv5}u!_E0GKmV!1(3=Rp_xzRJQszONX(iXkLs1nT=PX`vod4U~* zJK{~Ngw~3F^yFL@BnzEW@JH%CHs>sl$9Ib+j0hi=QGis^wHhq_=SEOWqzbNmm8EZ< zt8|{~i&5HjQ88UUNPEJYFf{K56CKMI3!K1h}EbtZ!6&oqW`o^Qbm@fQ@V!m|K3%>ou>{g z-y;U7<4t)vj#;@C02h_Swa3%}>5Fi-zXEAd)e*u9oiHM_loQ|T>#EmwcTAcPJ<7GM zGrii&EeDO_Q!bQXS1~84)PX}(DA&20S`<~Oqak(37`-0-XH$sln=^`yhlCMExRtHx zBgRcT7itnU`4nT4O6d`>$+I5-76nQL0XOK=|K4xCd*^sqz+rw6`w-2Y#JndZ>JnPh z4op5a7J1k3Qz)=}NBJcZ*M_Wk`Lm7T_-Np)AxjY>L-Elk!PojAyv>g9hY-Vs`uOtg z%eVX@GP_nv@MDofu&6vW$Qogu^14k+f|~lUEn(!4s+MVC9T89U<+A09r-8lO7tj!4YbeX@7OleuIw7Vtb0&lPxu3VALDzeYXVD zrFi+)z!x443)PV|3NT4)UU=u3Fr{N|?bD}}9z{-osguJ%qh0|zugUWA<=dx<8Uz@9 z$2{9NFW(+szTHb|pZ%@XW; zd`eSZlh77ZjDKTxw6|9d|B4q$=rZ5A!qOaK45TT5Eb$#>Xw#hZr4M%9>pcM zG+Ym}1sXMbncS|2(OsliP0+dZ3HdmWD^h_I0+TU>u8$+Pnz87Tmp?1819HkW)f(bu zz`K5o(T7vi%eN$IB=)I`W;;kLy8*0_Ha!WjBR*j;?J%a%8*1pfAr5<6YytRa;6uV| z=8~^bF8eKIPP7ygqSSp(Z`o5ycw0A2FqY{}lT%LQ1Q=i#mS}BkvJPi(C!g?}=gF~9 z(s>bjsonEWENule&M7{I(r2_x#^}_TQxjho=z4qzO_}s=90wfHCnm>IP-Y$04n~91 zix=IRVErod9HYszJq~27AfC;x5D)`}l|a^eEaC+g)EqXe=c0kqEomvRbb2mEAxy}I ztG(w!UMq|C`Wc^MhrXCtidxKU%L`o2n-%>@y%77tvD!U}jF`Pzb-Ud19pu^L+=_i4 zh4RgXQ{4|#kZyK*zlqrz0LsFV?Q3JG)Aal{`~E;yB0& z=2u%YBurc%>wGEB13dDDC~Q%bNoU|9Dxcw_Tm9XrVTId8=>dMRNn z+-o6^NoxTL8UL81n+cA6?TJxlI7#g-{hvpA49T&E;$URy|FDsjXO3inEm$^};-qX0 zde~!)&eVN~?uE~ng9GExM9ZS84ypi}?l9tx_j^0(z29`Cpeg^|;DC~|x3KVHA^;+WPrSIDVX7knhryEs!c25s2>d;BN+ zgu2On5wsno@s(ndr!G_19SfcOWUdIbbzq9!1!utZy&6p=8|Y=?tK3aDrb1P+O|K&p zDYbrPPTJ`xu5ypk5tN8ep_!ptvsqy)n6wQMqR5NQ@sPoIs)!Usv$Lavnn_4Kx~&u! zk^Z1E|HY5qz2of}&-^t5oZ4(#)fc+!6JJQb@hOl3Y=#N~ijMMRq*Qs9JaF?F`p`9u zt-Ad}go)SOXXQxbDsS@AA-7!I)#^b^#|(=+mJzUjku;rFk8Ch^B_NtVzAYhuqTKGx~fv~ zm{<|M=bWWN&a=u0_C{6)2lH2RjM=fZPkF;6m_p*yDk!z4T&HUHiw?t?pt`&QFDvs> zb>=!>mtV@hqd!;t_`zBcjKI_pS1JgHH*^_S*mZVZN;rW4!KO5K(}UrXOnubmm5hQtZ zIspMErvVlq7%fI16m>!whthT6Tgs!!j)1l7;!Vc$5&4^1BDdzP*^#}cVceH_7=p1H zK|kf$yWzDJHqtybRTz{JD!#kE7!?g6^t)^N=du*3Z%>KV>^dn$VzFVt9Ox`AJ=iuE zTCE2)2u*Ihrug8%z`^N#qXHi4y?B(1-|zbi{*Sxj0smTK#t4Yqd$Vg-Y@a*+=Gn2` zG0e1-&xR&4u{E`+>wNSH8({Gb8i%JfnIA9?tVEEt`p=p5wG}LE^Zmg*n;&k3cpv@b zBe^EM1x`V8Auw(yLc&FISBP)fP{a8sC>dn4n+Zu^sLwR<9t&~Yk8U8<36hzRAhzd1 z+($wjNciX|A<%C7K4RrxAL%^K2X6b7AvFQM)}fHR6442e!Xv_>V(o-_@2S&#zSY4fw{iirei>` zi_s$K&U|sIk2lW+Hoc-GU1-p+sVFK2Y?~bCjS%wify(N+wvpTq6vdk%p-s(-r!8U` zWK74Ze8tqAg1^#MkN~qv64(k{cJ4&4?~{k%Wrwodc zH?1shO#%C#Z?{Ji2M-vDX9>3qZF9eS<|&2%a*Wa8SMr;D_cN1>7V=hPdNggrBl>Wg z_5|N5?7A_|yUUd{l~al1kN3qzM^ZAUDng^oiW|A7Lu-ZZtz3R5KR%S(h_RqFQ-mGi=@X3@1OJ;ceyj|zt7 zE11G7{S7sVdu2Ve_D7hg3Xg zA2k7=io}|okA(mG-Me=R6M@(|I<}oxU^|N(4kYCkFc@e@X5O@0?YUkV7omu``Nvps z0Ycxc@BVr(S6LbJkNvm9QCR(Nnt%A_!M7^+_?`UExRS=N{^kCp%A1RpYTeTL%;Z#U{{wW=(akz8J~@O<-N2x_#-ubE)x z0+w0+r0i?bbfi{@yg|6|VwE?tvaZIq2}}HL_MHUNRB~(|eLfk4M089?35l($xFFNY zR2)CoWjYQE_4+~`do1)y*%ZhAg7`r=4#=M8cuHS~Mg8yE(6#8$!$>$y3{k09T=DYh zxgJI&@Bu5|6-K}RkG*$^l_tr~!+M5~5fWP18?U@bAkowRkLkWs`OX|b3&T6X@WxAT z995N7mAA4o>(9rnzb*`ebXyW(kn~8yH!YdXp(u_fB^U7R#j%iiFd?_h;zOVP_66G&K1z*&;cf~ylE^r8uig4E}AK*j+I`E zHK5hYZS*{c{^DA!{_0!X9}KY$3_2sR{8_BQ7)IaCUL@vTix!W<1$^Dw-^yOZi%0R& z{+?GyyGYKv63uf5h9Rzg@0obXC>}_bpls>NzaA-=MVgl_F~l*ZA~{ybv3?Ygma?QB zRx5_`;Sc*=r-B`n{I%bu$&m>S#BSIPs3L;o&U=@>(=N>k(mR*J>^e{#76s`EzUM^2 zUGT2s2f&CVeU9E^D@jvJyodqpco))Ja2|vV)$y(ccBO)Eb)z7`h>S@7A_5MgOKDkI zfjh!Q8l{u~Vh3U1g4Hyjcg+DzM5N^Tq`*cgrAI*n+8W-)^p+Iay&{nT_>1Fr9o9x^ zdVAN}b%!M_60PF{-#DTfgx;nL-b+$Ua}yav5u{SoFpgIJ23J3&4*UB}w1}MWs&OwQ!V(YXjHyUDO@tHKAhCPV-%>JZGdTkg5)Jk$0Wg z^CDCL<@LyLDx{pcp!KCnBe4;%HzQ<~k$%o_zK?;-fXZ_hBs4^JVD(UCP8`7zH1O~? zO(VcdhLHS!e@-)lv6a)D9?TH!r8Kb12hqr==#5}@FS~XRd{HXYQt_P=4sFURZ-4}% zi5rYr#6cB|p`tmfv^f?I#DE7f_tCAl2Ra~phN=70lFkIh*c3pOTgoDeP^%AMm5~Cv6f_;hE326%*wc2ID!VG zC@@1Xf3EXvTQMLC^B>jK*#?=JoTiQ9b*S5OZ#YlIY!n{pP1lQEE#88{nMTT}_*KCYc zp;20H@=OHf2*eC^n3Wj?!DW^>FQXdLB~5k6c`*ZIWLz@~2`?ZaH*&tuXu8%NFVrFD zf-%U=n3a&}jgXjW`ktdZn|C8DW`f!1ma1^0XL77`jsr96T^Am6Mn?Tn@=g22>){hj zOVcqdDbVKVnatFamUo$B9t{bj4Gw)}a+xKg``2O|Yu*>Hl*E-}t~ctacd;40^@l&+ zLyY#D_OUyy)9!K*aInpITODoCr}E-Onq<)}E!dgBfR;IW>sHyvn!D)>_odSm3U_Go zgcN}C>05id!pZ!DVg$n0Zb+Xi>=(ewp2UaTK(Mi9a=p1+D(JEY38S5{VQUbA~KzerK)PPBcQ-$;->P@ zggkw;VpCoA6R>UP3udQmMd(3td`Gs`vGZxlA| zttH3aY$h}p)1)l+o%L8eX5ag%D;=&+L<}$rwGqCDbVy%ZpTVqn(JTC$qfZi?Nd@O- zFZBz2qo^5>G))p{S78;w*NeQ_UaNCsY3Q+awOrEP97aZ@ejl=S2ftHTiHEd=xo@ZsH6EYMH5UjLxRI&6M>e?D)irliCw?DfT*wkBLctP~|m2%35-s zc9}7Tnuy})>#hWXsDZA&Dus=r+B3WrxkJJFuUa4S8;P3ipMb=z*oDwU+o?yO{J==~ zTHK{3-P=~{4NzhZYK3}(A@00Nmsznv{<*&SD97^?(*5tdbuO1dG>^^-TxKUY$-!{f zgH<{@3frm`>I8D)?1+jgVU?@0Qg!wgIB4Sb>xUr)|C>Mh&O4_p+iQ+(S_1P!HXJ$h z1|S1ikpL6X@|`uu(vH7EI_>dbuhy+IIoWawU>MQRWt)frU1?#Wua*ss>#r>O=vPko zPQZJCiHqesAMn5bJ`78PF?LdLQ{c$ujjB51gUyqi-g^r;MjGTIBVkj$o=WHsD!0@j zTaKMbexg2hax?u^UasIG(dO`I-a`A<$&-M1NIo(W)N*AfBLQO{ThasJO3Na+PJAmF zFr2)bnOMS$3k$ng$#8MAjMb7(u#63kpAFGcY}} zH9?E|6on{sGX{K|+)GGrw?&aX2+$0>H*+Zh;q<0`=74z=jU~V~>)Ey#`Z&;`3}}&m zyDDfF$E7#p+SAq?gd`_GMR9x5)_B1GT70^0<%e=m5RF8{pSm^{K)db*c;T&XA=h2@ zsyZ#JGbb+_&v!rf&O0iHa|jhI2i;V@Qq=$>3ehBBYpOoR}O@Z zph?moz7h~#o!g3ozglr{d4P?9)dCpS5zN6rE#!aw-1F z=ihnfP*G1142a<%|3sx>4T>sz55tTdZHzqoaNND*t#otDz#>@eNsObnd<<^j752e( z-Mci1aIWmqrec4>hA!G2UpfGM0joS;*^^FbM7ucuA=z5uek5`+66v!@`e2c%2a(ZT zGKln}L1Yk5MGhYSqg;jwi}Z9ZBOfB;yI>FrXFekm<^o2fFS(5RT;BOcXsq)Y=zRK; z&vcYeca%?mDs+<1L1?0d##(56QTSjn5<27*9C~A!{+*QGyMu4x11N8$^q!lD%y5ty zE`UxGkE%5U#FQJmBl)&EY;PqIEs%s4NnQA1fFxkdI!hwKU*BC^B*Zv9sjj1+|1skt z&uYSexvq|SS!2#5=tYkJagf*r@aURW}H;Z55P#5orSaB_2LBfl9(eyKy&sf4(1Frm-A-J zbrVVQ#O9&E;LGY|uJ%`xO`l73k@}%dH3D8|pDJx~6*S=tj^4BY@YXl=B;AQT&!0XJ z-hoqItVmbkE$k#X9w>lW>m2wr{vBSUfLXa1a**^UB88pGM$nh!rzzme9?+@dF^z)Yb}gjAa2iWy>a1_scBJzNmWNMZsp_> zfPRi`K@J)9;ha}mX<-^LS86(%H!d!Tg)i!|ozrpRaQ=5#t3u+wGqxy!yNzrKZASi2 zuND_)nez@ETqX(MJk5s#1fD3-sWLX`kg7MNdXm;n;;WS$)28^DLQZNp0&G94Dn0{* z4#@>nHbq;Gea0%0AlbOOj%n|-S5M!hJyHhD9yo1a7|}Ku7?&_Wy3&m&qbOd)o+KPB zfFC*}92pilwk#NW^0hf*T+VCLhYz=reFp#3l6K_M&#M}+m}W4g4FAd*ae+8Gw&f9v z3uJ+B`26Hb7OqqU&XguqkzB2@Xj~tDMCnO3JnOe;Vjf)_GdL2%0?FD)YXf^*vPR;_ z(uU0++X}ML9~S+cTN*Vw^|=}bs<)&y9OM9YwDrwEB!{x4{aKy~LS1awDBe!6;oc43y6sNo zu(<+?%K9(y%PUTl%5YSqR@|;wsj!_o;OO8+u=3!V|9_YPb@^9det6~NVU<`+!IJUu zY{`sQaq2sXmq5h^Ln{+0SVu+E}w(g_*LL*!mi{ zlUSGXPFrsI9X>IbV@rwUDlftujB%RKN9#-#w&3|Qi{B(1sL?#Yg4M8_r4a+}vLaI( z!8{VOBncRTKhwfQx0=D#j&#m7)Pu1$^Hj!bhKBlZdpq zXrU8`bOLBR%xY9P$K_pSobVZi&O3h_G9JDh!rRMgNp;f)a~FYVPD4@LQ7xfv3|R|lryAn0-*kj2b>Ya z<-c$1Vv&+esvVFD`}SD4v9HsKtT;6-?M{k=*Gbg3YBVJCK6NeNl0e%VHTp9xqfZ%= zg-Oa|67jO7woipmY^X3Q11`UGb*`C!m2?^(Htl9V|8-4Bgih0*(GmHARxb zw}FAPlcPbP;kFJYZ8M(5j8gw-t5y}(>>X6z z?vbUI@OXK!mo!MhpblgU5?pOzKYnPRE4mhU$9$;RS$R;nZ zCjwjW$LvzzTRyiGyhSw%{(&-4J!GovD8;(!xV~(5E!!~-!)2Nn4-8$0PF>%{Z#fj-(>lyxooxq;4m(T zKDP=KVWomKSYP=gVa#;wEzHH}hDJ}mr+}(!C&e-0fK^i7D@q1zbq~dT_5h##dU>@} z2`~AnrRtXUlIr}R9?#snx_v#)Zpg%fvGvU_yz`Fz!JC+Sg!YYA$eV0EwE39x^fWK6 zAn;%r3}__wjy&y1^We*8V0!Fp#)WAzUD7=jTe6f}N-s5`$AhFMD_7xB~6dJ<-2Agt`7-1n!sXY<~R%QnBVBhHzHMC6` z&U)73jq0{LP*t#J)|obZ@YI+Skr=U&6W@g-HPUoBYoHr31W04E5?#WooN57pL2V8$ zOX?nT9uFferc5pZ5*IrW)jmxt0tCS)3k|J*9Vt1@F3Z|SIafL?)EM zg-;^s3y46=Y^8-F-l1u8`t8tq+CzX)1J(3X18m3{!wT%QVROq|i5y}@| zS_8|b0qOjf(Wm;}Qqtb9+mB#KwmExc%}GrbTv0f)ckdP`3P^GtJ&5czyy-!*bY5oq zKy+1PICG(<$w5v*%Md#Ikau^IdEW`8hHwr|t$C)Y6=Q|kt(bNjG%c!ONfXlO95a}R z3xO#SlehrWr?@=BOJ8V+L2C!RPrCtXPLp#MsgLJ}C5SY>Xk+_(V1xn?6mJ=KW_)Zp zNh<<@V?t^1%ucFH3!L?a+1O-0$$;rL9q&u#Rs_`y9DfDGcv^%2*Adk3K?xM1eH0_E zh%xO_HQANED9l;Z$a^hwmerVKf+Y-mK+!OX01&8QBUV7z*z5NyFtgA5` zeQ5Cs8wJy}Nt%6W?{X3Tn(@t{+_#hQI-~>-s$N^14k-1J!M`0!(_?*%)USNwmAT^CIiNCIyo=y_DL{ z77V-ma4d3~c-Ei}T<3zNLR*RQoWsLlzgG?^#EM4Gu`2|f5rCY)o_d{^MMv6$A@}^V zU-+m0@(+LU2S5E?{`Njyvc6VB_8ze$0fzGJ`o-Z!1*>DzqN@$}CC^RavSHtn91 zkhEVfpzX02#H7!X)^lWa6rP}e_6Ohj!9V}b4}R}I9esP;ef*OY=IL7$sM$UJ6Y645 zzeC?Yu#fZ$@|#co`FBWo$Z)gr(A4RTL^@^ezdBJ|49Y6*Oy?Wwt)U?T)R<^zRu| z4-_^UsIlb@FjTlz0XhVaBK~0_;Q(e`9pDE{@fcdi$7GWO6om%S7ReP)A2p8!b#wf7 zXv+XlZ^!o#!K2C10nQD=)1c2;BM0v#?XRA`0qQq(c>0FZ(6sZY%`ibU<)n+d1lw5EOfjhfczFWX`jNg2y< zdWl1pUqW*ZPNS((Yq*|f z6ln_+TUuButmf)GuSA*|6V|**yUS4}P-``mEc;m=Kwv^k-LhkLGE=T7K)k?%z`gb%b zG2lR%Q~5RuWVoaHmj?!1$fd03%5m+P~(qNOl` zrU^2~L**RW2OFvYZD2%^q;RmxlLKWq4!2CNa9A=?y&!15K|+sVD)H^F7`~lekdPq0 zK@6#RkD2`lbM9+7fa9n{l`_+A^+@}@l>-t8TSIUO5EGAH+JiiOcS!kWbe-wTsL!Td z)!UAy$%b#hGbu^sY-`#Z>SB!r9`W{tL}ifE&!x_q*9H;eu>s9 z+6R%ssd=_&ek$4>6rTe+Lk1P{fXfd+GD`$fgy>6Ri6__x(0-uJz;>dA2k$*C%L?&! zOfSNbg6J*`d?&Ri=w_Vn9wzn!dwDqNz{wqMPkk!qUJXatH*-YcqebKd);)D0P#(4F z$mSMx4Lslv*i;x?ViMf_is#;i*z+dVy{gL!fOeFNi;M>d3@QaDwC-`>K%3zv#{nz# z2$H&@{Eq^;zEyN95Q>7iswH`B5{?6asyX3mViFoM847>d0fCnK8SZK-q>n2Y@X>}o z>f7di;KtULcDGO8!70t-qoRJ5&9X8Momv|VUR=TedAq3qlSIu5w_k&=<%Ax^@Fj-l z0-U?S9culG_taOyyQpm)eqq4_f=wJ~rEjEjscXgXU1!trQAgG^9Wy>!M$Kd6d2lYk z9j@-{9-faKX6cO+TWps_y=}c=Yy;IT*{hh%qrfFI3hcTT?msXHDNtDz>-%N1n6&%5A28cSVd9NIWk1Wwi@|szRFPqqRSZjw41hhlTz+)d3>8X=4x(?`GCEUW= z=ZBm&9lw$9_fNlz-hNrmg~O8sZC^L7;|A7W2U=@Sc-DWj=hSEYH~mJS=2lcIYoSHk z(DtaV&eX>MrS`&QmtS_^8sPa{m*2%Pu2{RWVFxV%_-D>YQlVj8CJ@eGPyz6iP&RsZ zFz8HzmkdWly8!sL0SGjur?}IrbJFn}Mw)T_#axcu>J2#w0eb6Gyiw+YJ2%3`Bip)) z`QMPUbS@DyA4yi*xTnou1fD*%2NzK z)2eElRjq)vbw^o>y_XI}SoPeRl;&K_PMuoPCQ2NbhxUt*iUxWFMzsZ8>VmR^8)+IS zn7XO=v7l%!=U;v9FQ`A5mZPcwai=@fjx;5%lP8Vly3ifn#AGIpt$F{UIh|t0i*d72 zwNcrk0Pxd$T`F%8C*f4oyaO=c-;02%sjs<+^A#l5n;*uJV}V2a`&{E_e=`PPa{nTr zA|F=N8N4K(#T^Zm2lGb0CZybfr;7IF86&_? z9`&v`r1*im-P%{pffiTKg;kRfQn zj<*0o97~7aF57g4b9sKqo;B=v?S)Kvd4i+sg#%=uzII(;+`GhYL& z?_Xvr2-ql?%jWyE^!j|*;(D;a8X@uzS3$^$uBpICD}PLmW$YKEie&Wgj3HGVY`(p= zyM}o@^v;+M8vC2;@%?rM%4P}&uINr}Gy4Vb(6q-XJbY+qwL2Q+fE3?AB3~wa^5JiN z^5M^Y^5H-F;0hGOdq&bHEsP$v!XcOW0#qc5L`&A|w5flrW@XIw#Ot?W^ zRq*rW3ubjH9ZvioQbNDTN&J_eeE2n!%da|*>QUKU-8GWRNO)^c*ga^%jQyID03lr7 z!1;_O4Vp_D#}x24KKbz5L&@K_`5`6ub==i+Mf`m(q144tL%+-~{xOIB>Xo9KOu=rb zYnrRsgNhKKg%0_)){N4!@nN$&$K>VjanXN;Q~U+p4*c}1TrEm+@D*(!b8>f13;YHKa`Yj6Lm28nxuI-mL6|(sUbmQ~ObUK`$pe!zQ$SjIWwM2{9~?1)PM zXbXMS{Ss&WmrTq3BAUBfGy3tK85nN}{`YA0r}h1wW=#R7FqWszib}wjd`*|*kRI38 z^ks#!!=|-1s_sa2fBFOLrHzEa$>@zhuXry{ukmV#EP% z9s0k)=}IF!EzWYewENT=2aa=hp=}H%U~+}kBhaQ3%}eW$?GDtcw3!85mC4LyE@%OU zbF1$;+lDkjUa|XxI+zvWw8(+a^E0VE{Vr}n*_ime{`j{``ztnZHEmo_OLe^0j5FaG zHf+_vurfPlLv>t~HC;THbO!0IDmr_aulY`MlukTKAmr_V3)oKF3s+s^@Qv1G=5Gp! zV5bt|84$a=w%y_;#fEq1GdcXgAd0TBY_<6cCpv69&_AH1xp1b(f+o!LDF@^WL=!-0 zfbf{_i!*^HM}vAeeM%CacFw*RC(f7nrapOB0LYkJLr{048g}yK;0Hd;B6v=p$Z4E+3-2Z@cfx zfgt{+9SH)_2aZ_8O5R%R_Q=~!1;R;Pk5p>TA7Km1*lWkssDK6D3Vk1Ed0 zVg7DJ8%Hu0-NP(IX+!7i6u<) z%au4!Ua2kE{4E()ca{iOk?=A;n~HyzT0&9(Y^z|J-(V8`tm)_$3jPXOh(prGH{aU# z!l)fci-n)H#cmgJl#I|@@f~Wb&NO&Xxv@+i&o$vtwWDNM7;ezdHV7&|O{$(Nsm6eW z;W^h{u3#>zr@S#&0W%#qFeAn-Oj#<}NeWC6h-T~TQ7RLj5tJ5N=4*Sd! z=i^4LM7#8di$p_!q1pv+T&Xs#631Y|m zG2iP>OzFX<^Na~$fjs(s9{nFSk02w%W&R_M2siJiz1>&m_&3p~!&vLjCN>_tQe4V5N&YpX04o>w%ZTK6cB3 z)F-(R{IXph>j`Df^?+9D-nm-X;dx;zz>*8Y=uJ^6i&{4wOw@B6BI^($Lan=^l}lcm zt$s=kC&p*5Yqf_=Hu?cP87|pirwF4hmixG_*@DX!OUg2HKo|Fr@ujJ3Px-f%`V!-` zW)+FPozs9}Yy#TqQT4vm_oh<6AFz=xwZPh94ko0vd|2|Ll7{%%8&uqkB_)5od<6r^ zBW;5zTX^h@%XuOlm(~9joRnbIldr5a(#=_}8;RWRc&(7cbduoF<8%$%!ka2B)>+z= zC#eD)vD$cy>)$pzkRFKjy6w zd10I#ojv==K4i}(PCJJEzIbJWY=E{JptgNUlWw=_Ret8o+Q1-&A0ZVf=0o*bin*z) z?e=WrMc-^!vga-qx=57Z+vV>0oPfJZvQnRL*M?tAkVTJp0N&_3;J%WIdR*1cqs_m? zIDs}~3Q$y7Wsd5Ym7A_mlbv8jnQln7V(lZ5`^zo{7 zR$Co$Q#KIv)JE5;2zr;|6MA z$ezIUz{npa{}kvy0E!t(=gbK#`r|3%;%*Pl)nK(WzBk%Qi8NSRq{=nrc$uv$+%;2g z?GE6s1o>Q}oItz0o2Z`uhNyd*x8P2)a$><=AEHJVQE5;srYSopYDeJ0fv=3VF<`Ml z2VxJqqFXXP04$MvVewlC+mkAU%rqIbBd%5#+L3I}On$Xu#j-Epbl zq(9>QdPA|A?r_Lz0ac`yVqkFV{{gvMtxk@)7}AD;{UNqlmy8K}&w#UV(Y>{eaE&&r zJF0DJ%lgQmqV>^0CZ&o^Mrh$E&+yM$R^SwBPnBIT$+w-i zjFHngk&{{=zwUVWW&jo}NI_=|rw?=vQ&USh?Ms+&TXhtsb(Hqf;r=*O z*OFD*oL9>xW7Nlt84BL#TQbl_l~O#KO>_!uawTr*Mj2CHNS(SOu|V))9s00xwpF!Wp0O#_-<;H8R8G^~sOLWYqbdhUJN2ZZ zbsAEQOCTP@-~wi4|Lc#u^UfJtMDB?_!o&;4#eH8i%$E)fl6hx^^F+|H%dI{?YR@1) z)-T|Z#AmZ&7Jv&n;IzT)1O8IbNhl8wig(fjyWZ$FKX9GaWucD9unKI{XkJ+BqY0$C z?D9gp@8JBBHh54~6taBE8(2E#>DIDw%uX?NLXz;~FWV{8Hff0oEY@Ww=XC&F4PxU88>w={Z<9dT7O$q%j~kvuQk98(Qi>LqP4+NsIdhc z6(<;+5?nzV>8&)QZ&i6wKW`yKHM>?VyF%Tnc9;_imI)3NnLsdM`_!Yxr?QeUmvxmIu8gWNp01dFh|itPC(cDlJup0;Le6ZjsGHM<$kwcLin`bmZs!qn zs0P$U5cR&GrPKdDz%E!cU}SHL?@jsUDZtB-Qb_F69^{354+o`wRGQeN@r-;!A}zLe zT4*dnQ4#FlZ={oE`UY`t$}Ww?=8K*eO0CE)gf(zhb$K(ue%C3dh3Wz?;PYu-Zvj)3 zg(UTVQK!g-qk_YnO{16;Q|jcoFtnPILDrZ%!F<1vH>+!(8QV>J^Y{1dabwXo1b+8dBpsP%xDhD; zgOI6i9J$P@W>?)V94rHH2kEA?($F?b^s8C3f9^-d>=ZLr3TFUan-Em+piiSqn%a{c zGQ|*pw|yK4%vdBi(iOtk!WKtQ*pPZI&QQk85gbbc;8gN1R3E0zgT!;KKOa2zd5*_`2fG10$ONUUci$JwI^4TLDM~!YUnG_X_ish77;6f! zR8HVi?a169eMJi<}Vscds7Reh2a!oc-aP&_^#lR3+tx zLS{WWKDC-d#0bI+EwEb4}$VbM(6G^Ml zAw#~YE*#Pk!G!@dqNU173*n~$q9@M1I`RV-m0`K5aa><;qM#opo%5hXR{w~pphl0V z!sWQ;%#WxHc+~q&_Rj(*Z)%kl{Dl6uXlVi56eoyWd3e$sp%(TJXsLM2R=};4n?HU7 z7eRWH!xJHEIE~?9t;+Fl@sArnnSud~UeIoTkDBAA7(ExSkbMQ*lksDm8kM8e<(ORl zdSJZbL+02CywLi$uvNklpZx+n=d1kbJLOB>nbVa9xZhh>@N{#50+ztj&u0KyK&8J^GU{=F!)R4k%X_>9L%b8?i@?Oz-g30H=g8oC4DVR%F=ULF6IFky74D3xid6AQde`gp{MW8n+g}w?2k5X^?e|!!U%2HJB~!*!jk>r8?N6g-^-_xs?C_}~adxr7EXrUVa6@SqRQ9vIa97_bwIvI!fS zu%XFx$k?_+rc)C%x(F(n&{k3Q3ttzJL&qj`WI{77qC-0h+Nit`o;}xuPE6={D*LFK z9b2lfaH^1SF$tbbgY%srGuxTWgzj_Uad!%%NH)f$z}_Tq${J=kX=-|to(zg-*f* zAI9p!IpgRiGetIC*`MU7AAO{SnebAf+b&<%rt=^>=`_4I56_Jo$QYEs{cxqZf1DYA z+*+;)-H%vW)GJbb!T*Iy_60|GUPFKlD=8d;w9-&OEB{DC{o%-N~E(+ zieVze{aEl9eK7?tO0^+(CFk)92fiq z*H7nOm5lk8FcU?XR0LX+wa)0W&gjvyyU9yF;4oU(L~Dgw`KweHeCM4)^UAy{YVmwjTMFm*);{dD-+8L&K3Oyrq=0 z(tefC6E?I67U#g;bnA-{)D5Y$R?YFRM{X$FNMOr^ z25?=H7cY{8MoE9ju`r@~vVctJ6)|3EhGBCTAR%wD77MIrb&<2}kf#G~cp97H)p$ftU=25LQvr)vSC$1=l7llfqWHCCq@m(Y88i{6s zvw1#Ka%EPo^Ua3uQjIu2q~#(WPBd;7kEdP9R&*s>p_gC-KAflc&lS=2hg`*@>rQ=+ zXQToZEE=B&dG4(y6p7M?$(8*1i`1VS6M2adHQ6WGK`MtMLJ2E`6juc%aflP7{-hH$D73=uVzLM!YGpB*h>mT{=43V|Q7hM9z5@!oy`PR)AFfa*m?8~#h-F=-a; zfV<3A3XqA_##Z*GVE)Xt+U3+Al$|%2R&mR_r~jOyqw<%uqds)2tgJ4i#z1D^f^Ss` z|Jl7du0adl}*d`8M?yT1QJ&T(Eiky2_^vmK#-tzo8C~z+W~~LWV=Dy zcUQD<~9WDn@Wxwp1NNch9rU!lAlX{w;QI4T&d!2Gym`0v&JQdkN! z3l_Fh^#d+PaREs>x!S4|H5JB&U8tR6iE5uS1Um*zL!GkII6&tsyn`)!7CTWzjue#s%8SLfp&?wXLgW^yO{pC`|y@0@rD6idCZ58dvouQx58< zYiO5B+qV?lLjXX~9?NdSgacdLsBLpVOV@k@bkngP!%F_tK#+dbI+!A4Wpu%~mu9fSPy_Hvr5K`(xM8f2ez{aq%|&#kQ@7EHBQN z0)V@dnt5i4)1QiMcBpO+>UB=NR&esER?&TrYP+V4QU6hPnO_F!NNw(@8Y@0XyY2bE z2F_MtKGeD@HbCFXU(+;jUq9o%e=Jz#>p$0U<%Rc81yI>luAXtoXTrOUc*(F0nOZwI zw=8Mq%9%s2XKT$B3eU zb_yfyuuq8T^x%em+~vJ)?#50WxQldpSr|OqU_#y=I6<^8yk4bum{mnkzwQv)dmX`J@H$QYPf+yR+Pj{ewR zB#i7Dd;iO%-IRPiFpf60lF*gPPOOiiov3BmNt?T;96A{@f!X<^;HR~$X+Y^bXG8H ziO2CnDxt&Zo`62Xeg!xVj55Beae3I&t51gI0=o-gZqogPBz13*fQ54_tnMwsjPc^ZGbs{lx z`~+A)@Cg9vTb(`Es%AEDX#SjtiE&xEEO0cIBP+ISJgc(Mh$mONz8SfJJzCURT7nzW zgIYt$q6G;n#Gc02vr^pTLQIOgOokgKMHLD>Cd}t2BQKmwfh(2=`(VZwpo!r6JUK|P z`-3iy?gCMz1QaUu?*r2}WcIc@PuhGuM$)N(U;doFgB5dBLu1N{*s3}lvzD1qEYf}{ zp3UGD>uLw1>sPc}srA{sTqn)3X2fC00xq2@1)68y;m*m{t`PD|A2PB_(=8da%YgB! z;8zrwV}WD5QRXy;gx$!N$Iy<9CR?%>d&5#_f*2%n9J^Wl5Yl2ZozbkkT+;jVIWNcZ z6f8PvU-G`)oY`jQ%@y|_lb%d%3puhJn;%M0Pp~$d69WS;gqsXX1rC!vv)m=^oE78F zpw4>x|NaD+TZYz!rdy6^EA;)yG?WCfv)4z`I&)@@ShMrL#>CEhz9G$Hz zKnQTm!A5AqlT2GN0UyJUWM@FxQTpfX!Cuk0p#5dRp!_saZe~L>#338LgL6yXqfr(N zJEMBlDQvRLY2u7^Lr2h|nm4DH_UYk*Y6u}di_2Ug@dBoB;O3$gdz%@HEbQ|2lPmJY zFJfpx+G07hS)dL}T^d3+UCXCHfS@WW)%K)CWrl4oRO4p+-DYL^*n_RInk{{mqhc6%E#$`;A^yS?uuU8#SiL@M*87s{PwJpyKQr(e~ z?j=2{XX>oG5^FOM)0tHVn}qTesqbPV$P_V;6`X|}H|_O-Sv*>EVnHc$Xj>>gb+}ht z^Kpilb=G^Dnuawv6@zLZIx@=$3=RWM+6B{|gZk{Yu-?b{FL-67R8BNq@KVx->?6(} z;MIw3qX_YFohmn?s%tBnAr6&Y(qKh{VX23?Q7~S*rjnArL~i0)KTZ1>?t!Mwa+<}R ze5EQ!x4pHbwRT_aNq<$ju-)zV&O^I|AKC*>Z9= z+`bxezuIp}01yt$3%--xQekdLKt3NqEhz$a+nw{+>{gC>Zoke|g=@}R@v}{qo5-7t zB3B!SAKFD%ZE^N=J>p(fyCz2iw<eU`6?E1}(m@Kc;-{t7oE?qp0-laa#hXh9BFf?)A->^nO{Hh}$L7Tsrd9hM#M8 zBVyI4z0w8=`~0<2-_zcMy#sEwVUtx|F)`@OSF|bLH#yCl)Rn4Rjc2Z}buQ75ADgD> zueELIMXGwc_{Rs->~THBKk}vg&DdFaR(<8tPv`O6zIM!Wn$oJ*xhkKD{imN$_Y-8au~?qB7(kHo}v}>&HI{1Mc0&Uu*eKRq`W=!H5U%>n$&S zWNRy4Iy+Pex)8opNB+Qpyndl;C{sr(UIAOHSW5~xpplQNl;;u@CpT71P4*{Wm*)H0 zn*X5v=#d0c>xY~jfLlFl9P6yL{+G{xI$j;dL0s0fR8ue3pL~CLTvbj=d#kT_i?8_J zUFf)$5af#Q-m*S8N!nAp#MXU&U@oOS^$BdAJ^-TBLA`d8WZ-D=IlY{j3r|33Wig`w z2?%f)h5>4wk;I|mfw;x>tODKOv0@009GJwK;Ab2xweBk*bCo&Q1`z(?f2|ru`gamA z(?nXL&yHvY`EaNRPI??Lwzl0F01Iy+G(rZNe6s=D+GW@{b;KVVU_Ebs}4wd4d({pi-tPL~aM8JLo zV9tP-Qwkp=Z8#a?3I+}YK6^&FX<+>uKdR5J;Mnh&RR?-M&3xdObT&*B7TFpaV8O=V zJDU4QENz-7i%nP3-0uz{#D5XsS_l(@pn=2m%q;<+o{RHJ)klQzDTst{-BFMOb{_Wb ze8^hrgT~t@Ola>VfyeSd8PV{b3rTvR2@{OM;C8pn8^O%P#L)}&!_ed)8byHRxZch+ zIKv{*uI~Ydg@dMMcPG*h$0FM>BNA#Rq#d`EI++B+(Rgo$>L*d6h1uiVR)pIeiwaoi zI)_OV_r>n-F1bB$RmsDpsEo;N7~^7+LnqVF%Yrltnn})_NjC)k4sDiU$uSGLqJ){t z9W9i)abM_3DAGu96jvgYmqy<8P))@ce!%USj4?M|1iJq$#@s0oOxu0ha;_9Ns2}(B zG{!TbV8oso=nDG=*4>M zrPDC9_olkz61Y^s*ZKiv>(DTS8&h{pgZ_t~=Oa_xK4O?pPETj{c5;zynQL&NlC*NY`6BASeRf4_6h?n`p`z9aX@6%e8zUvl%Jg6)Ety zuV}CgeM!glEFb7^Ca!-aE`#ponZ8!R#noJhZ~3rWH$tfA03;@)dX!-E7Gm)c7WJ>u=x=^#F1|tP@)cJMn$ntT% zV`9^a58wpaE2x#++02WdT!@G*KXsB`L~<$Oq7B{fLP}!&3+i4%We-nx*bhF+VIVxJ zG%#&f@-ZcMrT*6dDCz)5#`^y6eE;|V^lv+)rqFH;)|hLBOCD!k9C2BI$IW|yrm4+a z?A+Wm5!(lGwH}!zQ=AnRZ*0GSTKfI({^?JB|GP9D(4e%BO>XlyOtBfRAOO=zPw{n4 z+rJ9OvYZ&(&Ne;mQ6d%z07F#FFbt)ALuzKeR+HrZ`1}9OpZ*uo)U?neYc^i(Mnt3eS6uFRl$X zdhU>EeIqSh-{bVeun>Z&>@rulL@ z;9IV`mUd0oQ!2XM;pq={1rH(8F8T<8rSD@5gbR1m;XSEYuR78xH@OCJn`i8LdPmg> zE6Vx!^c(k2zd;>Y$kvutb%P>t5jn8dSbt_g&NJ7m> z^ZF2^9u)zQM) z3^jD)?D$63{N(FK8YN1eXsl@30I=~u1im{cxlC5vcI!-{TLL#pv37iCY<}8xcg)yC zm9`nq0wU5yFQTFiHDn0v6U0YX#d|nY-NT9r_7pquavh$)wu1@76=^XUZaz{@$xS|e zQoaSy;TA@`{5x>^-&nG9AS=QK99(vvIg!BHRr`*%0{km<^eR1BpBlY zZBrh&PX9oU&Av=KoVD05hdLrf1A*cWKcZKSjE^DUc9hjPg5IdtxYPq+o5C8A zHI3ThNt+d1Re*+HXBDkp8=Ts&@a~i??a2e$1*qv0QUwd6P0*~(*uQe#NwdO=(#gbV zgErpTfwYoxwFBgI*G$A%`SM^lly4l2W1IW_7#SUeZ?>F%u3>c#Hv-b{n&~Bhplx*3MpwVV!ALQ!1&H@qhAk6t$qrH_@(E@m%&>)bb!5 zji2$+?pq7Lndg5Ud+_E9bNH7rB<9!+WOP;;r4Bp#94q+jXiwfC@e?2Cuj62Br-!Qo zv8-|wdqo5GhBRaxm5u}FM;v_YVE9GrkFm{5Bbv^<#j|2}EOy}pz8^$DlN<-;Nr*IA z+{7tuKj?+2A6i~K3D{zvR`Ly1)i%ej)@5^@AokM`Cye9ZtD5Q-7XylSZaWj!O&5t3 zO-^Ge^g-c*p9v+{Dn{un`yp-7EZ3ihKLND1*7>$ie6xcCkDV@opHM^`0?y*mehx@0 zIvkGa;Z#HQHw#x}*}A!C7T@(3sFqn^MGF%)A3OHJ1$UqyFRWm6AQbbUX;MbsqJs9*O*N@8}7AD_Upv*xH{ zo2kYR;gdzZbQ<=eo9_Av!4F*A`Aox4`>DyX9|u8V8Alxve9=8j-wQ*}i^WK~4^3N^ zeKzg;9(8@1MBQ<)%RaQzR@0G7&5PoVg4H&RkxX|Y)J(1>T}qbbOB&6iFvH4d zs>qK*>U=MM9DZGV2Qsl8m#YvsW}Nvpq=iA$`O1w5E!__}<4gh4#L&_ko3m2uO~B!^Czwp;kKE+X}et6>a!wN-059S>YH_SSuS?dVoMfTjCDFpes;s zb8`E{^cSq?u-gHCsRqu{#(PAa50oG65N2=T;`v3}+*j1RH#PayTsE9UL`g(W#O77V zC)G2PKyU1&Kr3%DI6JFiMRVJ{Squo%s2ZWPII(krHxQ1Q;3&jiG}Xr0!dt~I#I+E& zC$sYRSZ>qm1Oz)1bS-JfR0r+svgIvzP2Kqs7c{Fp>*J4#2W=sBX#LvQAZht@mDPiI zjatN`VGr95zOh(u`<}ulo6Rh5&v(Hd!fGTwumsbQ;R~`8hQom=041k<4lu7a?F4Cz z?;YtX|oy0-2#LG3cz@s?=R zeIY3wmD0tHrkgnHYHPzLhdyWh>rGY1_A1e|oGE~Td3Y9>ewQ>4Uo^?AdvFo`K}?WZ z|Iz2(c}G*Wi}^g34JJ3&&N5VW_KW?&#?45by>zzgqy1v3naaCH9`NZZTgBTi=$U1l z6VgS9#m({QGjYP?&Id?xl*EapO^<>gP7*M9M{$q@yujY2QG|P7TD^HKHfB&^;H9(- zCZy~qF*OXS*>@pBwYpJai8}#lYH@@+9e+V8RzwakR$aZNbQWGp zLo7@v&|QiKa!Dcbt%=Qt>n2eW#IQc0$u;rsNXK%*g&&4iwut?QKd8aJfWeO&=H3&v3HfsuU;-OG5$gK1N z>%qSUIA8$GxIN@j+m@^?BI@L<5>GH4;_FqYTUM9($X5?5TTmET9;u;e$nv5oG<;v! z>u4E_^bRHSN^$+f7m@K41H!%CHYdp^fS9i}brK}JRfyq+eE}-r--cT=eTQMSRA+i& zge!2yC7S?8^ds&DteijU*Rw39G}8ze*%Vd6yFN%x)9g)!g;5m6yx&hJU=s$S!k?k7 z3Alxx65zMYC4LrfEm(x4tq4*nytpp_E&NMxe^(Di7Ej7~W`o&dm?!*z^o~%AOeR1V zY?*MK{=t(v4KAyJrtTybfv)wpXkuRHa9Cf#pKyhnWSUx8h1NVve9}p~P~#*GTTD#E zjirrPXxjyYPEv?Y;C|nAq}oz34;Ahx@)aZRQEW=kh`I=FzgWMd-7co~CR_J{J-F!E zn~oOVsldpa3haa35ajnP?b({i%$IOBZ`-NVV3y76ac(3LI#3DNf4(TFnhhqZVk@S_ zRPrRK{i41mFmgm&C6#JVoBByklUe!4Avu5GP=41I3OIXl7r)z!O(b#J%#g}9$z*&j zlN^q7m@FXDcQ@rSA%x$BNc~gFvfrGJbOBj*@Yu9?A^)c)nYY z08T4pOdy{W4DU^n^;P2npci9|nmUe+k!EolK@zCc)~ zo-ecs#U&0yY9j3Esnm^RGzh3I2eA>Y8K;^FiS9K*!?Qhm9$J!#kPIqh*)=;!#-Ah; z1GuEf6{>89z1_47vqYw0Zwzpndzm>CyHJ=*JwGE&f{uGbzG9%rvMYh<-uH+9*$}8b zM@j7TB(w}$A;{yx4pB3+SAUKvyJx_a8UK52)`jyaoIv6F4c_C2vnsKZTq^2YuySF3 z2IgX-o%U;etahK><0iQ{X8T>yDWTVG)akIHA!VgKc+u@d;k(H8g(gAs+3vbihb>wU z)XFKcgT)%0k~Sb}XiH+bsc{Uyoy-KqLjK-^4*LLqHe6$=^&}yGUNqF=8&jFoprmrE z{-iY6ID@zYhqp#LCuFj-%FtVLt zn;sPjCyA$XDMp)_HMrA%wiGo^gR0fi&JLO%?D-tHY!C?pH0sIanly! zt(nKi9xR$<%VG|Yea82}>qEtx_9-UEv8&fzW`UT5cK4aRuOKs@g);j3A*)ws+7r=c zS1=jH8)g!=*PAWuUr8!0qBM?ZW!ld}vX@H(3%VMpAr@(^q&4g+hC2{kqG=2;=usIg zxDSB}{J^SZo70AM8gN%Z$*^#y5wP)34QxoPY}0UAkw1dvY^O0vTE-z;z!1rh1Rqv3 za;jN8+AoTo1JG^0_t&%$$eGpVElA*Mu@O{VyJKTqD6gcAI^Y|&6lsL{LG@f{n)_;1 zK{3qrodT!iP+iA~MdJaCm$vZvX{cuouHWd;F=%6$I!)K@5I)i2`4b{uDip5nJ-ax0FPZp(n0#H#i<2Y z`!!G;F3WCS4JGjsYm-;?dQyaO?Y0^1H&oZ>%kvi2mKyDPA@rL*G+ZDHxtqDnjegTt zkLy`m%o#R(O|A*=U-t5;LTNy408PdF#LGz4QVrShdl`qj9HVF47Iwc2SuvNjo|XG@6jpf)?wPw@@3AI?DTK@N(%x@I?)??7pPWfO(qvs>8yYEbHYZTY02kz1IwnvjT)v9wc0UY{)9ce zD~kt^9tcAf2qrazYYm|KWD>ULZZB-j>f|h|_4zm zZyG+BglCvaVIwy3<576V*}EBDxPh2Pcxwyt1F))1j#%Ad&`Jp&a~r^Xhk>qFne{V2 zs;hCGKjaKsAav|hkK3*QRG^qqKyj}&8`36^8Sfhy?B4O6uAxQFUNbQiNY{1rsNFH^ zy>TX^t@4_F03BO49OwCO2EV^8&~4gFfs$n#B<7mI{EE<&gSp~T_uQoz7N4do2sy3`9Z#~L zn)Yq-5R9TrOAXOS)uQWTl5#kTIaaofN`tbjfr(}0yj^@hxE|ks%lMv$D!Ggw3|<^% zAK#xR9$rs8e2d6#;9)dhMvmSla=5r2Iev@Cq30ym;wEp73!h(ut0h=k9w?cvRbcvA zq|thPtys8Lcw@2B1xEK}T=#8S5|@(~rD)y)`SxwC7jgIM8rBt9MZlbh0ts8k)7SsS zw-lpn(U!C*w8@p2#0Vy~=fG_4eKwv068i@5*lWtbUbQs^Q|c)X zjM-Swi=mA_r=6G34VHx_0%6bN!`VJo>#QM_8;5+EO%=X^$9kbmhO`}7TUJ7<3T(scC(Ch$|T zW~=V7J)rrdJN8zUy3@x1A*VqOE-J9x0KSO&1rA+hA49ugdJyMj8|*SH>4G-`nM>A6_GniK$9b9_fa{2?H7z}$d9PmO!si;9dg=>$BX_;kR!IS1!HIH|NY!M?+8eVzA7`o&T{cftH@E+R_lr-G`&26Hh6mB z6Q%Z-?08}S4Vq!Vd>~NAlpS?=C}8)7DVf` z7%|>FK&mc<#~z3G9avDd0bjH2l$z(8g7vcdu;7D$nZaJnFlI3VWIdfpubQWC;GXX3 zTgt8q_4xD=EnyndPx9|iV+hYG4yBqmXTJvsUjgOoGE4qYh``AZo^Kzk_YSl|t7`?2 zrsB|lPR-9uE)1L4f0LVj2LyTYrvIkjh(D?D+ps1Gu0tHpxzQbU;1@3VvuVNF=fxVl z(03q9i`|zrcjYv{G#Urp!_k+U2%I|Xf-G?^KV$_=hZzI&4n%_CONNo+3ozHab3rwi zf=Zhf;tE~N3!~7TiV{GPktmahR+OMI4XmX`eRaM)pYFetO5j^`vki2vrHigbb;La=P zKe^cY8Wb-FK~PA!(o{6{CY6n)f%6V+1CP)Jq%n)1Kz12OfrN4Z4`#} zTG_RF+^gczUe(=TuNw|QfuM=qWxLC1yGy#Gy`zDB_87B(|=-rA^#N3l}i;b%WGdR@H%a zIYS_K$W`dVdKbHD&IQ9E_8R|47*ivmbEpTrDrn-~QqL6dKyL`=^L8%;QsJ@z)I*!G z<(v+g4k6((OCfznDPWeZ_$*2LqeVlo(E1;#2ZCyXRO<7Qv~m7Q{e?0h_DC8D_q3yd zw^X!ocyTyT?EqK(rL%oF*)R56`b{$r4dB;B#ug8iwc23FrLha0A`Vk~wZdqP@BTmb z-u6ej?79~k+ld1Q34{bfd_gDLnwfs&nR1=?a~=fz3rI*v2qD;2b*k!govKrFUb?zk zSK{W)cF1+Ox^QzZ#NY%w#FN;u<8kaHauUg%2<|r|gfydkK)T8^wm|~HC&U+6zqR&x ztE%p&pYa5^BJ#MO>aM-le&2hoz1RBv0@9Z#_cOAKfY1T7j4*LY0xf0Qj=X?Ax)VB( z>0dAE2dII-VDykG%;LsIi#M zE7az)nBZfm%|G}lR;!>;b@zzooe765KYDHRnN2&-vbJc})5&H$W$6Iqh0i!sOtqUA z#!*`Y^nZPemKI-r^35#NJUs7Wv6GR`dMC@buV4Vt(x#)KvY%OUA(S^{dsUlkSl|YZ z#|to|&?m8mH61fKnbyM^NW3Y(>w(vKR0Ui{U#tRqa-sNKSBPbb zP}cc+RO+nMFnZXxZ<&wV?LJg0^)JqvU0WLbkM4i~HzGQ~&Zc+M3!uiCyz}qk@N-K7hLcPe3g!dR^V% zGPSB1qZzsi{zpbFsl9WdE~e@MJG-QXMmi*PSA_>m2c*9=Q|C4UkY~8gko>rgBV{f{ zM=$L9{wt*QWtn8-D}+F$Yxz=VQ1VvtU8F*bV`;$R2Ba(Co4!q(@*UGAAxWZKYtaJ1 zgUX^5ICxUW;4P7D;q^IRYw%l@__b7vW-b8zlQ^=s`?YePlbt|HHJREHbZT6-;WxP> zTLvkogOtf+3j4LzJ7dsQ&0Vu$iPNx6=TH3UB&1faFm(pSlJf5Ni2^#Nsrj^1B9L4V zJWZ*jPIS_ui5E@K8ML3X*B~u)GR2m4TXqyqNavB%ZZz@ZNer}jxb;JP-c zePm`tCNx1@5f)c!GoLqnI&RghNq2~b%D^b=crB7g>xIhP1lS^QO~>G~ceJTzYRGP| z1te?=T1>o`sa0DZ9SnCFzoHDvW8#cluZjwMxov6bmP-K@ZJq6PzQ|4sypZCda>dTo zOL*yz%HGf^skfPGfig&W-()s?{DCoCA}Xv*N%h{6QE~oqA6t@!zV8ruJgz;Ec5_5By-f?aVJc)YA+}_aJ~B41&}}r`HOS!m66G&S zs0fDDJ)InL&?IA5FFU@0Y+iW<&trfOtJ3`D6l~^%p;=o=oTa??QPg z(`+ul15SLQoD;!MUXzHTKPgYx_y&Zy7gqlso9@#_hG`$pir~1B_5yBD)P-d@DE$={ z>FCOFSoT5Jh{Uzw4z4;N{|C1xnP3Zdmt7Umy@P(pqliQ?R>xy5m9P>Wp4rIg+%b4jk?a0*M zfNh35qXWV7eWftnUK}}d)xHxVnv)z!th~=AGID5vxF5=kEGxM zGLWZ1>!177Yp>-i-GfFm^o46bQ*+Yo8fO0u?IAn{@VXH}OuycwEi)wS>zX5@7pcWF zdriltVU|x+;5&{JsPPxUbZQl|3}CBzLtoM90r)#ViW5~f+oo7FbeL#Kw<)uYW}h1R z{}dcX@)!Pc)sVeEEAj%gSCJpao}$0;cWIsis~u<;$uy3cdWqxz9dOYpCrC&Ujv_FG zP$kmcLGyPj_z`Q44szW%c4Ngg#8;a&z6nC$C;F}fuT9#(f~jj2#|&(Tu1|%zZWu>O zFG=s^ulB{Pz)j?)C=03%9@*%Bj*>6PSC8;)C3w98t-W8;~EJs2l%@R$Yjv#0#v)OjX=nOy7+FOH0?Ioc9euY z+&sJuhGFDWKk=VAMX{Qplyo(ta?xYlA%LoLV;}3K*ivOVDOsLtDjGCL)TCtUDDxNU zSS#BcaAv3wFQRc0(MZB=l!lSNPGMH6cp7jm1E1zox~5@tTSvryNcbEQt|CN9Ix4$(9$vG%K61QEkgJdx{ zMCh!W(P43ufh_7g4g5Z{s@Z|0>ik>y)9lwpy320aoO8lqH5mSBn=RPI-zFjUEx4xI z6udDyvCA5EcwXh$)(4=k`1jn=8mQUf}CB+mGcGBy!# z=a>@&lw5=IXwWGuP98MI9e$V4!d17$(i#5UmL9SGl}~|?v6=NDwQam2?N^$y=;##F zc(~kT^;U1v($ZujH+iG@2k-;S`*(MM+?lHDW~~tcO9s(S(PStKYdHrmC~ZI~9pr_o zX&Wry3)7VAG|QWPgPS?Uz&u;prx0qqDXOLr1`T9q^G4N8Nwb-3G1^59SPa!R@en*% z@Xh3^uC}bJrO1`*HJO6lPkAhpOiqB(vV23uZSTLjN%Q-!wzXZ7{Z!)BWK+zLzW-#X zw{^}wJ1jy2Ixe%}JC)LgWmlw?(3IB}M;6@Ze3MdcTw2!Yy4KWczys7&nitT7t8i+u zgH&IE_4P)r)4a-dl#3J?I;8s$(rFYi|5u&a+ombGmo-2qDl1!VV1Q*QX%XzLWj-CU zO@9B~C9^RyzdFO)^I+{$bU=PQqJn$c;;d^b{Q7uv|J7=9M3v|SB9*@DHxIcs*d(`n z=aj-5enrjQH2X?znu3Pb{DYQOo2F{p%iWb$npD6IXXNs>$GukYsG%N}eya2h?SUy7 zl)e*2c!S!(5o)*K3mwh`&<=Rr7z{}BtHLqc21{d%BOV~C>-sv)ww`R_Po^0luqlM^-O1Qbn04VATLz3H-xEB=5CHNId;ixHBp0-iJ z{wco7HRGpMYf^w7$`f?#H$}#_ab0Y;N2=V6tTC+d8H3*_X2!9?OSn<;qQ+5ywDl|o z5yjCZd=}h!!xN)AuhSectsJWLHmz-oj`e1_q#X|k896-jHmSW}zoKzZ_Qi`K`nUjEcAw5m|NtVvRJ?&VwRCUKPsymqkof5Ms_fjyNa== zT<6Iox0ZAOI=C&aE2hDr6|!43mDHK|ZIq1CpzyQ6WwN$D8lGfRF? zY5QE^1iQs0LPbVZYE3+{SJ%+5Y2DUpRoYjpXKGoK236Ttc&)9Tksjm#^?kOquUx9k z^)on2O*yUy`QcRYSawpfy6lmM><&9PwfU-rRVTWa6K1xV%wJu08>`rH>oZ*BkcMj^n9*C*w2RmFv_bP*Z(02p_jB0;*dwv z3#LN}RknI0d(cnFFy`!jH;(_uKl|Ei1HWKaH8~!PV^27MggsYSf#r}44z1v;308Oc zZh&ojSmu^oy;M1~#I|C=Zu&QWe%ha{L6imGZ)o$s{2lz~l=#mpmCHZ6VXtYaQsYr=xNU1Whvh z7V?%moOyqf;-AnImO;e=9dy;LN&K%{vp%m#7yH5{J(7Z3&Gm7YjuLmv-0c%@^@6mr z$7bD6_~D%;3f0yu&93pV@yb$abW8S1AKT4rv?hWF`}}Xd`53;j7R^j&A9ch&;zybO z+G4WOlXao{GmZXY%`-3-!P)cwktyh!wT5@(8Z?ybJ4zOHU5qNK%^9uDu}YJ+E;h&0 zM8gHFN7MSD!TFoNKl$&L0Y$9`x{*Xe@~Bl;5_Q}Gl3L6B$t zyPq5ZH-b16alqoBcz!bs`jvymbC^9VkD9FIvm3|m@(`vo{xb-_OWkZ6>Tk73PjXr#ydk$I(yx+nBVbyTNYbm$0mQOWF@N|Jkm^{@tSuIonttW1#tpM;; zE^{csSC?${uk|HMj8QtDMj=xRlrFj*-jzit?>!e`s2ud2y$}JI~=| zE8yuTf^k=i|MvULv?~FA5)Cl>H*WPUG}!b0GdGWIpEC!B>$}PTGsCH}98?Xr(QT*n zV38Qyh;N3Ec6pp{5Q96e9^(s<957$0AWgFRl-YibSaFEa`3L{IRe|g z*KkK)pO0sM32gnnPZ}Ib6X2y63tV6dETv5~t^rvDUM;==wfWX&tCo3Dl$Dh;;@KNE zP`Pt<&z&_HzyIK(1=NsjKlB+4#XZ6frU>##TwopI)~d)e4PLA?S9rj;`4z#|5~_zBl9Bq&MYux3m|nXK zZtLK;X78S^Sus_tF7a~E7cFEC2qg6#iG85G&9$!gTbkv7|;Z;qH=7xcUqxu`q|W#${epQBU}A9@}O%9rh@Lc1W$ zXcALbO$WiC2sZUenEQ;uPvLEtwV|qha4zcKMD*~ejp#Kdls9bm`Gz!f6$yT>EVIuHAv+ah`%%VIT8qR);ijuNLSOgP{zGMDj;cYb8REErf1i425klx zFR+8Sm|_p7YnIBs!FKWHk`x>8k=X(xaKiyhZ`cM&h?eZEIKly^n?Sv2-xEL~7JVq} zoc%7#^l&z=Z8x;Mab}2H*qX4H8F>OS#GpxYFhlI5W8w6Z>9q}q?RBb0lv$-_)+U3^~Ir512XhR@g z%+rgL=B#O5O!>4IHk}&CAqczEySt3GJ?yuev=)%4i{18;3DlJo4N7uBXK9EFm%x-w z&s*LP@Te=h^P=kpcLHKy1lA8`K3wam<&W+M{n0b+WyRLt`b39P(BcS*)5pLMne`#T zMO)5o@MvgO=qbHnMXolu8fXW!UE>q{@b=In5sjbrzj46kk85I`sf%cRv>t0S#A5%&H4`BCH7_pQ-Son?Mz)k z9|LsQGy2<=8%|vQMIya$$az2b6LiIXf0PI{9aa%Z(pFaRm_cPr~qo ze|fVSRx`H#WjZuX7!Ail^??N2rpmKzWwXO_7hHpH;K>dr82taBaWBn2?poZ8$l^@b41vDtqDkF#VOTN`{N&WB>K+8;l zQ{s`%33^!C>cMaC(RU#jktYW9#)}+BJpU7t88}mTWT!R5>b( zYF{?y>wf~*ByKotG-Nzi0C(X)= z19zQVd9|Lr%IiB&qQz{)ft(fec)#h{yz^c*9@96KZLao}KkT(-1{l+Eb2^K#*)fF& zoVjT!wXrg7v!JiHpd)5tEQ?!Jtf^zWLZyEl;25<<{;f|NI=2&_XnyuN=O<%!|B;$?3s$=4rp-784Si<>)uQ|>`tTm zu2>U&hSlzeCWpg0f;LBBc)e!Xj_D2g)eAXXrv-tO9ATS-K^h~qXl4aC3#ZZs$^Zbz zpwAGg!#bmmtf*fFByu|^GX@vPTng&tc(HFFBqdWk$Ry6xqs9lwlVwqNNv2o-(?)&B^`$x6(;%y|%XeMya-pJS5X7U{CBYmgmg2 zdELy5*olqedegn{1|j;W(RnK5Vo+ z{2=tFCSM@=qCOwb=}^Hzj5A;wMsD2JFO&?l=`zGnS4@`9?5m(%PM(*T^pT`b+Vs3S z62-)_JY^k8ADHy9tng`@Ue+Hi*cD&9@|J)$Ammg@+=R*E(EhT{Q+^VcrE%8yfHOvI zMzfo^gNyBka22Ru_mqqLP!`{MJIy?(DX*ZUx z?<0^_B0D70U<&ZYB-yG%1_T|maXF-z_{wz$*#=XR z)n|%%E1KoF1MYhcPr8!Dvm!cwn2NL*(=3vyB?x}F_FyVz{!oq}4& zc?P^h%v?MuuQP>NtX!sBORX!Wru>s zQy-WMyA0Pz_6=IU1WX}iq;`m`SInO`a~nnjN?xVABCXQl7C7y?-95?J?_7HTF0IPu ze7-)iY}=VK+`lTD5j$RK|C`}*vE+KJbb0e?ncw+D%S1hZ8z#+TM(g+uAWzb^0u+}L zAFPmXa>4+(B61ay7dLp61Zwfz&UbX`J0aXdW;^yzL%eemS`1gp8P}TGJ^(g+liJPR zKETO}$tT=lN!{ZkWmL!0+aOc{|httsG zt4R4sx>qj?zHW8{lqnmy{s+7g;(29U8JB%-xH4dN30x}{0g<8u7f($R>N3iN7&()P zK7#e`fBIyHOvMfK0_C09co;z70WY}?(J5P5sI7ig^6?4iP;}HnW z#Y`R2TmC9fvtge0(OOaG0{is{XRFX6b%1sUT)4y9s?uZs{X+uU0zi3h$vDy0USPPp zyqa;nvN9F^Dgj*TA9aTv7dir@3in6a-}FZl5?TM^r&_Plj|NlN{)(kyIcnKlXYBa6 z0K0}E$)A>wt?G`H%G<{t#plz;fQ+=Tq0daQ_M2bo3Z?|?Y_w^S0EX+-B#5J zA1vVfFL`nQ&AH)Q*k>BJN*hg+Pg`U{!xOmVC%B?cR~bBcftH6VR_n~(6srbg4^^|u z3S4wnK>Pxy%l*5w%htHxE!AR8{ZMQ{M(&?hH4%unr&RO_Jprn*x&Yrh?0$o|c2e14 zdrvBUCNDf4xaa|)G-?HYrEV&YKu3H+Wg{iGvOFKDA_eYedQ`QO64tcAZ-6#Z7wbpH zEWR*iZU>n5G1U6s#=>BPR8qSd7;8<*K)yiqfREW{?UGEu5@g(z&iFrpfT9ILg@btX z+;t~Dj9ZJ^z`&gaJO-+)PxKjkI)Te1?lDM2rdQM$RC8^jnU$_6?~%WIRK0 zTn|M#&!^rbW}JJ=PN^ z$XH8jTEtg6IVctHb`JQJY0*%pk(vb{Ea{6u64$kOr__x*i{@vR@|6Ti?zxZ7x?&DMT;_;_UUk^l$VfMfJ!!McaAO07= zZ?Z4`;)|3D0z5EgM2YV!-*qEvtuw%B9q9D_@DINC;a7g+!$11dAOHQ&n_qtTb6@%K zul}A||2Myy)%U+i$^QK3cJ|%+{%bqs1|-1`nRqEA-RB5Ut`~pzmw)^Z-$Qc4fvSwH{P7oYzYvi|tJ_wb3bE-3?jJ;?3HkqSe3 zgNUpnh%S)#JHPhg%fHIS$|uT8WzMPLT~06dROCkyf*S%0#Ck`qUVQc455N0O&M2QK zW1UeWDR#6i9I^*{O1-~Fu@U;GC@{7=92;&Wem@ufdjFTV6EKm7ccGtps?K=gmtlhO!%CR-^u+RFKH4jTkaAwZr+ z0L>217r4Fu0@I58n;y6YECN}qZ;HIOO}$ooI(tbmlApFD8Voc7 zrlwT!y`n#3u1N(!BGxc+_W3w$gg=1#Ward(C=S9B2`br0% z794Ga7j2-SrH2gHMwkDXm1MzI>Fp7|U+MAe4;B-G()mi;MFkou(wR2!tl5I_Ei2XN z`wctQ824+^>1eaqW@JjQ8k$UOHNr7fFMd|dNRR0-z*WJhJA-) zcu2iTi%Pxh`^}N8(A#78?;!myy{*}sTRblx{suuJD|B16GVeR1->sCa*dsGytQn1& zuLVGe0OZN)O|sDu9zhlZsm=?-`HD#cnB|+|XJHt$u}c8SNp;;Oc-k-4O?IOJA-!6| z-*@~QH3bS7AfHmc1bZ(1lZuk`^6!7vX1YRLmR0A!k9>NPc~kQ@5gv~hb6v}K zi`_f;zr_JT?Kg`RNWGyRVMk}bG6P;t`%-m)s}jot9gfAJetS~GH);QEEB3AhB5ZB( zN1+IzkW$NN>8=WU2AWq|hKEi2=*zFTg2e>3yx<~gAwSfL7rTJ}Sxg@a9S5r{Vr{61&BK~Kp3>z_B2p=s+aQ49LnRqNg6_Zxs=rFlDZ}- z9*HluUV_)#qz;+oF-*=2P4c*>Bo*1ulTSYu!c>$TzXXSk>Y3Wnkw!-V-}f;%IMl8d zqPSyjhMy7Znt=SAWxK^GSu!I$Bdo(!{K&Pmo9Zlg8+1|Hvm=uoA#xB%lA5*~X2{FC z;0~4;AhyE;E+~uSgIRV~9ZU@bb5VjF80}vePa>h<&w^DQQ{<3EF_pp8^6`a68m#+31t*4VF zG67QE%-7pdd{4^}iAvGRK)5aKC-s%u?pE8q4YEBYPpC<+19Xoa9@i zv!c{%#@ohiem0{cwauUO`D4qYS*q~hgfn;n+W6G)vUayaCYpY?7|3wKUPxj=!<6`< zS+)XC6E59Oss#SoY!4-OL|fU*p=AJSU`J`;W2a@vhrCUbiHx08t>9})QtFFys3*+q zN8WKQSh9$w$0}<14_Fgp+BNE1Rudkm+;B>I7VZ)xmWbb$#QpH3-=S!|sWG35-oLb^ z4@Heg42&B*Cz39+&u9*hM|mu;bLnhp-{A*rc@Z|%YR`PQOHu%qXEX4nE4Pi8ay!B9 z)B>n~sQ5M3^p(V7Z@Yze-tk>{Q(r}w`aOZsk>jC6`0&cpMfZrLHm(k>jVvD|v(#Z( z3houE*AA>#k1Q1Ppr7xj1(E>xjMv%ORy6Kd zJZz7;-Vl>|(_UO)u|K!Up>OX_m)pg)%Wj^1|2pgl-@k5lpzIuJ)O*L$LEWv`DXjvA zBW^u&-RFL+f*?sid)8Cko+qQ}M#*BZ+IGo2CCqDWGW#lf#;jZ_2z{RhtxxJ-O6om# zBxyj0beA-^EHwx@DGuo_X>_5UKG!p_zVwMx-(k}9oBTwVK^VN=Sa4*23lCDfG2)$% zhB!ay2KAUVb2``A=QzS?owPVLe3&@aAzhfv?1geM_aTG70Bc5`Z-8uQx2N1Rr`z2A zqqzl5172`lZg)^|-i;rwdCa*T-{>c%>UER0+2cnGXIJB7YG9_N=9R8ZX7}-S3uwr6 zYTP@e=F3mCua}IYAr#DAB*!wl#raWztZh~?^fU1EGmbGKEsAqmWW42Ulb1*NOaJ;M zzWlgzjqQK@xxZ)A@dTa(YnhcTry#r*Vc)y{z?-Jc=DD1WDetWcG%t%bS7LXkFcKp< zr;VkA6R!a#3FBfyyFXMUqg2h8e8cy4_;w->P=jSB!rc{sOOc^#%8n5sL^{8EN;+uN zTzN@%`zadfkmLt{3K=t?_G|kl*MISw*`I$N_#RXPt?o2g)HCHdgK;Be z0urK50@orxHVc|w+GaMFQ6&ui*bwmGq6odCO&Uu3IxQifY{)Frq<_(NyQ$!QKr`9s zv!sdy5D~T_AYh}fX;a6`+B-M!1q7oS?cV7OBx-t5Gj@UGCuQM0|2oB^1)ZpQfk7A& zs8&HbvVC8d*B_ne(m_;9n4c9^1h&GD{Z>j@I5enqFk| z2Y7p6AQEH`O!oK(e*ytDIC`lUjvMr01@pHC!9oFdi1bGKkl`|D7%mA|r@-Ggs2*+U zfVgJu=+d&xc|sJ_#gWK@9`nsQbmq$2E-ME)=+oGk#0`? z&8!a$B{M5#GurI*8W$@?u6rxKE}K+d>xEOM+iZfdgjRRqSJoPYCnGV`pYy`pNefxb z;1JLCs=?&L`=HKg&@0v}uS+9jo!*oM?JsJ@h*P~7Iyzc0A?-bPGpScsp{?| zItlWJfrNn?lZ-0zK!Z9-ba+7HL$ISBR;gEbyuL~osNh~wwO{+>Yp?M;4lU+Y!A=c^ z1P6#}a-4xWv1Ee?vjBg&(Q{JHjv#mg-T?!YwBPAHU$OA(ZTrN-x;P@rt(#?T7u8PB z%KPsFFfG^2jv1WxW6`p?q2Wm3 z#`H)TWr4SmLz>-x*-pzPsLj^k?Y5Vs;a6=bRAXE-XnxpEYh3)E6o}oSwAc6FEm!%& z1>P)Yq(nA#y@E$(mbLkSRSav8^pAM~a1q!IvSZneK?oeTkF%{(X#EeCR^8YKiN4|M zD;hvLL`t161s8`#@bO-}zW+XZdN5DL!^M2}6JVnere^`EC>X)O+%B<)WJ(JuZ4n6> z-q6~T?EsHNz+we(UWwz7EVZ2M3WQ`7)FXI})LM}OS!jSFZsAAgBUBY>`Jzi)?%4wx zu_~0>wHD1Ddi`1-lpi=q45pd7EV3FC7d$((gEH$J$LEykf^K7YHSP>rEEk+oxPDt4X3TRU76!90^Ki*lD~Lz_6!bx;T;s)hzWbB?jz5 z$hT3F3Q-Ph$#5+a>;E!jX#htfD}~OCbX71ZaGn}FMjl2vt{MzFq$Y!@D10cay5e>c%myBY~cZ zC$4AV?o9(|l&?G)BSFwdX*gyy3h);sX~W90u5!q5sM0s$Hbw^?0?zKF=E10>0Kj>| zc#a#2IWO-PWN8ld2=0csEW82uSt%~oV;Q~*$r`glMo(lPOt=isn-W$VjqfhS$}bw& zAUhy_)2=9>k#EpRvbBph@mG=D!fF}OA&HIy>o0$*f1>IMWdk1+aN>l*F2ZtWLdQIo z1+*6iNj$bVMOW1`#wrp5!NUqMO1l(fddGdj`Wv_gZ6J6RhZ@+r`5hvK_8?evyUL3`8yN6K2H%WR(23N*1-Qc!||ruY?`+~N=7Yn9cr1661c!feo$F} zn{?Wy0U{0|J2v8ra3lJbjmF{zn$d>@=Ha125kz^~L`I$ryCOqrEtMM%+UPRR9BEU> zjm7tfPv}i<<9PJkfXWI`LNF*0WqE_qgA-zkd)9*V8-Z;y#m&Kv2*r(oCm2(V@S%um@Y>S9}sBt2g7zMo9Rf!8_g9-0g;&jX)RnxP?05NaUl;j|qbadA$aMp_hh z$+u|oUsH8Kp=anepV%nwM`@TxO>)gorm*99AC5WWCHl~~`!HTjB>A94VK=FxejWLP zkub1k85H$mSj0>E&%ZR!rfna_-H)hUx$QjjP zDRiEJO5BVWTn+a{!!Xfrk zIX?f4rFQpB< ziIZ4lz3tZ;%<0uOO<5i!MtEiLQ4QKp!eHWs7FapqOHA{d4h|&q6m!tJK%RD)-!_aU zQ^zVZfLoCLr5DuA4*Q)2EYz2xLw^!aEwU{r)e13CxYY2_UT&@fG%~4^Tox zk0O;vUSr&;u>n-f_wlrl0Wr;CMzmA`kkJ1Myo77J3uKRI9SU@tVDGL3RM&|^SGc4c zQhZD?Ed{5F@aUg}3TTsL*#h;LI^xRlMkUc9agxA$Sz&mTF@=R~Vb0V%Rb10_Kq%mq z8=bXiYtJ%VCtcx$;OEauIA8fPKM)9hQkIPHmatJJ+!A-#BY+zoO7}+n6`sn+=@!ac z1R`S0^H?_^0&FrJig2B?>JNSm9_u59{V#z0MO%3=S9gN};M z8v-(J1~#xFCGaq9F9EuPth_-ZoN(L-cl7I{1Io^7877FV14IbHpfNX*ulRW^60m-@f#Wmk-fCek$awR?|8{eu)D$Hd@=|@W zUF;p>jSVvJrl|tjEX8ZreOi_&VniHI@^~-L3Hyqjrd7X>I%x3VM@VwoLi0rs?u_AA57rKat_sg zSy+dBpQ^-}M8;1Ic6SdVmnd!eyNgp0*?&fCrA?4>qXpU?@(DGrC`ls zP!Q1n+f?~}CG7 AC`7MM}Bh8feSfZ#6U(O0|LqO*JdZLPSMeB~Oyo>pdyX6Hl$O zS=H7$^ad&NeXZh{Qe4w+xi__uq8v$4U4uk}QZR)ySqZtI-nP|UA!2X}33|R6^xtmI z_@%w1Z_$vax0zutz{7eAIZ*I5ECS(n6=HCfDecff`z{};#ZtjheG3*1z};tfLwg(U z`nm%kURbnA40BY+{DvJQ7*$*G1K$?!#_T?34PI+W{aBLOl?sP|yjmdqhnmssGQboC zli1!`e)nEL-M#?;$>wMuQf=NNncKo{VUkQK(?K38r7qK(0*DT~IpCAvI|=;Y z$q^26pc$}E;I2iQ4xPfYrrhPJN$WWP{1>MP5>Bgki+jg~o)s$BcUf_sY&C2T22Vr}Mg3j(O3n@Z2e&)uW^#`^$~}q%%Z~h)1=-^D;@{4;NjOI#oRv zdI*;{I>tKY^w$1v5wqk#GD(@Y>O$!Pf5vcKZBh?hUzfVdml_0vv;ZbOVR{$fGPGVi zqB!Ay(%b4B>QEk;z=$swVVyHRD;C+FtYG6jkGU)NW$G^5&h+d6N}WX9kw8BY`|2|Q zY;-(pR?O@g5%RJa1bDIn=5{zr*IitkB}}LnDDh{2&gdrAo-{<8rYE4f&eM7)X^$ZE z5rDGu8YH8{?7?ZL`Nq6ibwtgI`7qo#rlhf|{lKDQaz~3-FF2t3RBlApJXQKLjHDRE zlo~O|JHAXkuY|+B79&rVHJ7@zS7$QR(R&Czq4F=h0pMlL{AY3Wm z9Cyj-Aw{S7ZC>~VyIz+!X~92-d8Z7$lGVdWOhXWZu+H%BwfLWHHog;3AR|l%xnOnq zKIJu>dmRGk0M(S%L7m-o7|b5F9hdsi6Qa&GQx60yTdD?}d_S`S2l%A4I?8`Sq*8|nD0SxNhI5^TWx3-P}_d8hj`0@-zsUw+Qg*JNbRpxeayjenbHBR zHt+yS?b2SA85~#S0oS~*N4UthT$R~)N14-ko-OT+RDc~qXGd}bHWEQ>?G5CaBwQV{ zR}WM8Y*RdnFx1;I9f=aet%6ke(!RDCo7Frkd%ZBctItSR0T{?2?={W0)V{G-S4Y47Z6yXLR_o_Yd7_2`4858C?vFKLoOup z8XgbDo1|A3vpn5aBVl@ns%-IsZ-hj>kjRSpS=X)*WIi4YQR?RAmFf)}?>`5<+O;qL zLpks|tr|n%NM^J7IF`3A*i{S=GP%x70G;0pNpQEbgjaAm^qd%tOi__lX0Hu?+ld6y zL1@)w_9jjDpk{z00NK`5a5)x34a#g|Hk$xLrsO6Y9RA&=90=^O8n~$B&U1`R%ni83NEA&>jLdM^NUrZrHt~2$XN^ zXttm4AFsuE<`_h7m0nQowouGB>F(h$XJFytVdttNJ#5`q<3mnQXZ$U4Gc5)XJ z8ZgEZ16XXpu=TQfIDL1z4k+35tSa(`R^QP8?cJo0t*Z-STtw{FpsN#tlYLr0IG0;* zbhpp$A!rv(fHxT(LmaKXed(@uL6VPPT^bi`GxQT)Nk?3x&~|!p7C*8`TIoqIJwOca zqte|cO{AgB5RtqG+LOf9`iPKycwO*}FpwXQ$z&S8(fITs1A`HY5Zc>@v(~3O=Of*4 zQCf^h-5SbGA8+>{ieWHV2||4j>m!c-H{s_-Te@w6B453F1IgYLLBNY*1sX?N zFR|wo#qOmOY8Y(M3v&<*j60`Ux)KMn>dCDgh;b1MOk4KN5zC{-lij07#$_oU!hePG z(&!k%1W0yPQ@u=Gx-8O181M=a^E8{nsV(7Q)x-P9AiS*Cy}ST7j;#3rs~2Dz%~KmV z6cbukKk*~PO?|-ic_8<{0L84@`)~1u#oZI`z-Q(*eYu>gIGH30n{BflrE~gQ^>?y& zHMArq<1Q^E*6hB0B;)w z^%C2*cG)bYIS-+w^Hm*wO*>Hjf%HAhwHhPZ4J8e9`KxMjaVM~=gQszwOi)}X0U)OJ$tM?`Y+3G5buX3Ng)MUg)lLsCm*QAnvOg& zH1%Q04ERU2{z!=bkC%ZUA%L>J zA|JrxLQ^~j)9Qar?AO{DcSeqy>wOJFP{VVn{Y7GX+mI0w<1vpP9@3m-O6Epd(n(RR z0fh&Ij+{30gJwJggxeed`BCC72XU`(&p&Kx3#SjvRgO;nNOBU$sVoN2m#BHv%ke+5 zK-c#`Y+R9IjH8jy$LLAYNKwJvEXQC%k}p+bum;az5umN)Ao-_?k~)#@Q@!DYQm_B* zXFh(9M)T^zFM;ijY}|KLZYO+A>ACh*Q9m;-z_X%)E1*CA9e!wn5ldNP{#dT)f_5geY?G0^bbn0BW!Aa@UOHKDLH$9Fbm6*caLE)m~QzH=k*Onh8 zmxuovLF2$NFYqdqJfl5uQ`pTW`}5DU_hxoiEV`NIB|!U~nlimXnLd|UlzECPe(G_) zLcdVvNsHgI#}$Y#PxuSXj{_j>7&bN6S3}N`LHo`0PtIpQiXM)|$xJw{S#o)4T&x)$ z{S09nS@AkxwP8Plz=(ob@kioOvBAjXT$R087jI-{Vo~Agh9F|c1 zM%`5|a@}_J@P)!qbIz$la`r=nqZwB&3eG#lyR=hW8kq!09RRJXy5hrW;>$A!iXUv9 zd@Tdw4oX%-EP}VoH*UKSlAFJ7k4r z<*{!Qs^FmIF)A8N!ho7&3C7A;GJ8c!kNSZM*`+}R{=^Mm2NEMK9pJNfU5daN-&H}3 zAR4O7#Gx*TO)|S{BRthxxxk#p?u3szICt%1;D`r+Tf1RG!R*q?>Yx*?;ulE5)s>g;xDj!5P!dr{lZ*s-dzX?mp#HE&7| zbJfcw>|@3g$G&M|kLHL)X&rLkhHcK*r)sm$ZdD))lqS6|qZ_FC%m_xf7iTF1{CGiy z7jG2yGpoZAP>1U~N>JYb#fVieFe*Jo5(y$X5@&Ik86mzbTAC2?lVx-lUh1%)zr%9u zt6g!h5A)qzeto9AP|hYNiDeeYfk1GYE=x@rr1Q_x9Cltw6I8mg*AF+x!%+U_*vl8K zfEq9F=;4FnR~X5pL3#wj79cLl!Gh03;o6LzyJRC z-v90Qzixlr```QEKcYYU_6MH>xRPqqV=;kJ1k8(YFr@^8q&ENh_4mI?fB2^T z{_lM7g%3XW{(CB))vC_|w>qnCc3A~=#RMFRpx+}=UwHp}BF5w6brx z|6Nr#xAgyAo0lPps^fmGZ~OKj=LbJW8GqsZ_w4t-f+~`X-=;r)?)`78>Zq0EK$RF( zs;$!FRZ+DrQMRu3?G|?eTAc>Q`52$5h5k*V03ju`Nip2XtOT&Y5%5+UfCqTsYd3&G z_D!s&f^yt`ZQ^eRsTb$Tqeqgb=gARtGGDjwJ_N>&iJx zN;^JB>(KX{X5pVC`KwR z$w@tehl@cdqw#7S_8yuPUFtn-&L@K=?(xh%0@vs8f&OFd!9+AV!zse&QxZHdLq`4Q zpC&kOSU{SOgf{-=r(b)`gt&EE1MTm1+3-usDU8{%OsyU6yO#(x*0>MT`4U``+q6&@ zKa$-T4}Z;LQjV>>$yOj^S!G3@eRMI`jb`{_pgSx{X(My+C#({l$7r2bRH=DG)&L#_ z(z2xHs*``2x1;@hf>neNjZYgPL^c$@$~13ctf5Hb#S$Qa(9eGq|NI7 zYovtHa-+j!p%@B=L^gE_EX`Mv#fmRAZeQHpWgo3NY$1RXF9$tA#&9~cTrxa;Z*|2= zpgQ|t`|}(!{kZ>A?(@px0hq6|lJ>HXMPiw*;AXPJMSZu($OywAYX+`+qNs%-c7w}E zMHNhcQgL#Vup}co2h-K6*xlX#W}e;+oD7 z_N;*UQS<`&)v$P2QZQAL#K?hX#SW-NnsjF~e}TaHic?Pr`>>_o0c!u9CfhTn!~$=2 zRkodLY-pE%w`&LP8}b>oO09Q0wq~aAVC2QBDFK4s#l5s>=!TY+saATx`3}{eZzh20 z&dADL9D`afs_H@IEineG$EhmJv4C8O4`9krKtD%T+k8Mvv1qiDVXr)>w<;( zMwnwlGDME2md&OqHkxmD_d@e~RPrt=Sh8~t3)`^{6B;32`>$od8CvwHK1_8SK*aSD zTqw-5I|iqfR=Qm)M}S`>z%K4_nLL)6(e1n)Qi3Vq*Ui{(jzWA;0zWAj-c=4rw zs60>kuJRmwa3_vy8|XArlf|{RV$+!^n11+$KcxSD{A<7b!#{fucrX5xGe*ehbQwKi zzG5KB5+L>;{_%hO;?I8J$N$yWKK#$W!`Yb20bvFVqHMDHiXF@iQImS{#h-ieOTYNy z`(H*51Pmm~3k_1O$q}fcov?tso~620FTU}IKl;Xh{o?a~{Nb;EhbtEYGr?n!V6V#= za-VQSF5a)IifKF$HvPlzedVwI^m9M@{O^4DrCgFDY%9KS+@?80RHnG9bI8hwaC6=4BoLqgD{joUusz_>lIG%Xj0VG zoYY1j^HGHos!+FHSyXaCl!OB-e}Y#{F9vpE+pu^NN{eZOASJI7Asj4yB1LX@2VLTD ztpL8Z%<4M;jRGyu!3zsuUP`&5rwLd~S2_N17>N|H8B}5G}BU`gDZ#D99cmz z9&H4N-1*F6uux2|Yc+RTHQMc#DPUZ#EP7`4wCGc9tpskg4F1S(_B-IJ^F*0VfC+o+LEeCn3<@Ka02@ zm$Df|GQ(6M<%Aq4M13=f1IiGEoB`1_xSyvUTxToN>EUy#O%ajDH47#r)|&*L6yb7? z60WoeMKRLDDHb-;QcWhf1Bdh&@Ke^T0m2#E2E!I4((q`KxX6NT{wyFX91tK=A2Vfa zz1cEYFT2~}9i(XN1Er%gl}=dx)Zu9zHGI_pa*n8P`)#}#FshEcsYTXxiu+J7Z_t!K zrZ*h*@5|jfzc2(Hb5me7TL71@>1?sr^f|4IQF`z^vbh`c{X}HxBV%8s)mjod+!Bsy z;!tmE)#TS2fioMuD32x)2CPrySag={D51TjRjExC@l-KL@362d4khqiu-S$Kswgi@D|W71TLHT#r%2=mP!L~jjOV$e2WKH z70@@}8SB68nZ`IflaK|Y{O&k~M`E0+9whLF+-LmtK)_c&)uA1kBfLeNZ1!rnBM)xR zOhN$4;R4U^_k`-mfSJ{SqXRwOZ{h^VmB2;d&Fz4do>L;;%DibzbDzCO?eA1jG|T!F!`dhz6xSe zHHYxi_M8DhhZ6e}z;*e6a{?DaL;fWQO^10A?V0CwOT514`^}$DrWifXf^Zaga@LNk z7X^WLv3f(HrswRo2i@sJ-laU2-OU)OWf+I9(kHd#H@Z&X*|`_WG;yM~vglXS>>!Ll zYIj=2vBZI_L}Yn^kp&$iXzS+s$)&m_-JlM21Zrl?I*Q{;#U>#i?KFYYI$P^Shq&WK zZWNu@@t^v&%B=}b-J zm_eZ6!$HwE{&wD!MZIMV2sl29(<2Qcop}$7@4EQ31mhnV8`s6&Yq4)l)Rysxd_30y z*GSY6BQz4B%sw>qiCm_$mxy~=b=e8g1s^ecN3tC^bdh`u)G==%!UkobyTobou`(}@ zK--k56!mY><}HLiYSv^qyVrx>nkUMkC^wZYUjvcxh772TSwwMIwa=S;ZcFU(kU)=4 zrFa^X3C2E10RJ@Efd9;9V0pYCVqmO80&vS-O+fF{!~%RW%3e(X9m^a?2wy^QUcFjw znKzp}KT609Np3!%P?K1KBWy|vs==yTGB+-4TL+l>#8OjKiE9W_*XE51Hk3VEgd2 zQGPJBpjI;-3M>OqT9_C-Qq#zIVAG$5#G{d6HcmPxfa>JXxsGsX6*(+6U=s8swraiI zk_Oh)HQ!%xB%lhXt^%A3WFg8QHalrK7NsHmKV1m;KD=+pBnkO~!~tz4nQm6KMnuMf zl966ZUwX_N57pmiUmZ&1^gbQ}g-T`+*##U&uK))VLhpAXN|%Fz384@gE;FkJce-4z zhsaNO-Y_2+{pVQ~EQpfKgBg_t90XjW!1fAM;9CfBJGRhN>^kMLap$W9Ft>sAPk$QR z9P^FZEpxeRXmN@S;R~P8=_)mWgNA&A{zzkbgYY~&Xx*|4Ivf#Z%qIeJr@LaOnhAnot5eM@@5!n<1L&k*M~89=Gh%ap8tzQTe371@aE0?2D7 zRBzl;uJ9qtnP6ow2%`3p7Fpo77hqu>02l7&@$7Fv->G*ogY!XKnUWe0A$U<}8ygSZ zp857bRyL*I6yW)mCtK6>CAo#PhG1_0bZ>0Z<5tqF_nZYY~f$OFnGRuIxpK>6a;sl4t!slM}}U`!C}-gyg$RO z9O$mV-#E>7+KIm3lQ6fTHx+dpNYJq2H^cgpd7T%fah6?!roNi5oBVFr``A|dnc_!=>2Spz+98MX;DJ~?W8|*!qN;HPLc12V zFcug^uI-)+FiV1V`}w-UUL@<{WQO{Q8hiZt3Aa+1D@vWM*zQK;GWQNuztq)6TeN+O zr#WpAhgorK*Mvsg@vxn=cdc+I?et6G8aHc3v0O_)=BSW5y(PK&jja`oVCiVur-JLr zm}+ET@Gql2F{>cBh((HvE?`*TN(oUu~EyJ+h%XSUf0`P@sE=)Xggit8RqUV61giZTFzxr70a52OD}ku)Wh6J zQp~b_0o#IX%{jxd%(62%4Gu-7=t;SH>1{gro@+sqjbR7z^?tKDYh7xpuwTqhs;~#9 z3Y{CbwW@FHzQ;J*K4;FFF56HfIv+f3GzsPn9ujRcvirqyn9xSZH%;eVQQJ(t#Wkty zY`dqk8Ts0g6sZ+1@3TG0sZPeQhS4n(Rn?`-JkQ=qb1)ljDQ7`HD8cQSkpKP@OcE-p zhv*{)K3sSc;H|#nXmzDmxV@(RHd`)JhIR#wkZwR_jJIHqotc5_?*z(&owjG9racJS za6t?xI2Gbi#{t!6HE*HA=R$KqE4jM=3VPr71JGk7*HUhsJ2ePwP z=fa;oP`D3{`Ei%SbM+v9EDQ?{^ETiz7pPSA{cj?cRYPf{uOrg?Xm{r@2-q-MS~%nI z3uu%HRWim47souo9MSed<4q;srWx(FO1#t^{2QPg*M*HS*LK_WtUUucowUp#MvBDx z)@!f5Hh9x!$N(ng;yY-*^u|rI)x9t8;Jv$3Z!4$7e{ZX|EeSbp|L&TA`%n55Ls2mzFXt84p|)m%@Vv&CXw+zpNbnl9po$ao9a^sFo|4D2>8WHltpZD zbZ`bog>^AsgB1`qK(WGQA0_o;7jMzHGnX8p#j0*4}NQ-5qMG}(| zdDaYu#;_QuaOH+s2p!aGDo;O2Xi5SRiD8SSKR^}Cai2R9(JT(xij>)9%H$Ku!>e-K zJM@#u^nZS;b0Qo%4>DN+wsQNkHYkHi+HOd-T3CS3$a>V&`pCFG;7G=EL_|~lx$i!A zya_ckWN)PVul(S*3+Q)f(4`!ou{~!J`^vX25Pg!3$W)qrV)r?~sS}m77Bg*4pqBw{ zE~!8>gm#+rVFJulFfY)KVC}L^MxUF7rgYoUm%b%YMF1%VZ)eiwD>r2AeGEt~}mq%l?C=OjZK)nV=pa&E9 zNQ1D_cciXoQg_n2=W~!N0(8R?zO|H0_?#(DOP&)VYmm~N3O)m^G4Xr522h3=5+zoGgN|>EDlP>Ey@OmC3xWB|NjZ%nOqall(OStl^7vI-a>WzI0>CIfBmeWy6>kd@SdDf6tJ)S32f zQ|HKH>lMI8c@7uP@xVDAnDq(_1CBPcRtjO@IZ5gas^D_cqfNT(ZRg7wDzd}ueY4#o z7K;Hwz~Gx*Y*F8_}b_pZQG z14_ha-EYfOe#cG-RdLB@yM4tQKZoxC1Uv;~M}FMX8AhY3Zqf{>toRb&?F1^=^=)RO z7szS)D8>>jt(*@QE~8TLt*q?;tVYEgEPXAGPnNad@PO>4U29;(MQ3t~M5*EUAIIgOJ*<}cLXfr`#p<9pvDa; zCA2M}n{e&2pnlpPSKH&DU=fxLJ_uyjTeK##6=VIQai(;S-_}dG0jwE2!>;yZ&Xvtp z$p_NtPD@}A*R}-yP;2Qdu(v7^8UHjL7a53a=P-Nbcq{-TGMxoSB~DF@&20*ux&Aihay58lUVUvRx77VW?wCy+072Vf57A)NptbE zzQG+t4d8>ZKz}T7n3842$;5lzW->{DO@T_@zAB&5oR~zfkIV7MjIGy4QUlldCPhH# zuq=kbXY{DPz>GO_$&AaHWDR<{n4oeUiE@H~%CS!cbJcvGsy42IZ*T<2p5Ma5V_beX zZtEy1OAMxym&9eA!So2uek_{qdQDJo=ULejl+O^0jW3J$A0DX32&&`M z78~@7MJ5e$C&@`EiCFU0y5Z~WaWT%xWEiC6av~4qkhuj~<{dMsQYmhDR*GYgsc^%x zOOI#W_Jmr`?@_8+74NKTDI6?G{n1W+9EdDc!DyW@k>k3iv}bTd0GQP z9p(F&HePm*lwglg;F0-uLOG0l_4o2H<{AmpHDa1wQ@N`l(NKuS7$Xv(Ca_mc^E_ zpbM~T8@>f=R@fXObixfFcZM93*I%l_GkZw|)OAXV+j5DV`%4)~KAlSk5fMkKyKCmb zXS^Kjf@d5GCKIYB7pxqLKE6n<>IM>M{2!>X-``c14Q=bB%Qb+ddTCK)qJiO&nO2Ou zTb`y56_a2lzteDMR5>h^m6@$f!tiR z&hsM~D@Y8;xjKD9lfCxdbgLV1YS?)**VW52#=)TZHF$-nmd!(*mBjs+7!5Z+0@LiF zHYMKaeKntHlxg>19x}KZQrxZo{S)SyZT_-nHXqON`3g+d74G~~x%Vv*ZA~i7eyt8I zeY3_TKWX0jplRpak+lSNOx)X+Ae`H3fYg$~KU1(3tM>gN5<2C5y0V#NVOHRUyAmRZ zSysW?C~|2l)M?!3SLi01d}IOBE{zMrQZA%9(+bG(De0GLk&lw%M!%z{(X?nWG_)-N z1T9_Qn_~BjYiBdpeT~K~GGGMrKFJjhrts~|*d?mYR(xeJ=SW!C!UsAH3i?lq7EpjT zqjRBf1=9o!AaqV=D_x_h)c2&+(N+++YBo17P8&LRZ0ZA8N61A+1Y8wxnO~C?vP0Nh zNi$qGwJ^WJ)<{)3QwLxr=S5-t&;QhGuYtOeOzYmu`_#9a{kK6lLMr_ps0?xk1q{$C z)zH4L^^Td%`3A)8IEy6Rx>;Z#hsuo?;JQao`lkeHeO%i|I5qoh*pUI7=r) zJuJ!f$60)MV(}}QtPeaL3R%L8p;~hR+&L{NkoQdkek;`jAN`uQpqJF|JfYA7jYKBn ztRY55EK$Df+cDvR@w7fIhgONsE4+z{f2>~4ZEASLA~+9SeAm(gT-r=h`q zpgoB?6!{Hz^?saPdL&P22jq5M>_pQYC#i&h=|RCK{Q`EImbL1DyEVgHCGNa)+PZNn zUoM~2yo$lR8CpUZs;V`e!#p1k>0*~w3wt#xf48R)C9V%%}FR{>8yKOU46v&VmL{ zw{lQ!2yUr5-SHJ!QCIt>G?M_gHCfeXeP9-xCF90k5E`GfI2x`e=@eOx*axkHwht9&zLieBDCD%PM5g!IW|lW~JCV+I zS-9zyycoFtLdUXh@(1=Z7k!oI2kaM~40pj$(I|9@0PXrb53Q~82v;S%uHf!eW*OfZ z7rTer-+nFpQYR8l+YZ*}{78GUfZ!VH8|d?Nmcgg`f!*JH9m=LZmTo z$NN+jx5Mp5<|<#nvOaN^fl0D(g(ad7WqNyQy?L(U7=={#Tf$VWGIrR$l;Q9E3?BIo zJH$M+0ZjX14-#`A)(P{JUA?o->}R4R*;n`tUjf~B0XDbYNk z9SuOZ@)cRIQRu7b1QwDXPvXFvlD^02ZIf{70gR7+I9^PDn5wB01&QamkOD_1t>Cd% z;hoa^zu9}YURjnSJ#3TINOZ~YqhDP@;_$2m?!8XkF9+6>FMuEX;9oGP?yl~x)zw|S z>#}=IPa!%E-vb$jr#hh%ab=Og5c!M-)^L-^HmH^8II;-uYhYlf4Wg z_%G6gV%G;D7-2IUf;1{bWFS>crm}PA(1#!*&Z3a^K}0CNOC!fYgk<6{p~MjKBSQ#Q zFa6;#$UEOh)8KJWbi9C`$2}^tp+=D(B3{z*+=LO%Nwj_x$DyIKDPRvGFCsSiQLJ31 zMs(tkVfeUVQ4kOz&LBjQJQNWD(23|w?z=mef0at9K}39;vZ zS{x>>?`UyFo=`)=3^MI;SdbMZQtv?cKrr*~!jO4ONy>Z;4t?<51fd*I3X)pj>DD4C z$pfbw!v0ZrKpZn`=ppHVkZ6$}h0*~*5IB)%Iv_CZj01E4$&2@Wh`0^zJm9q5A%2aT zN0N=gKsS&2A>rmB{)JRj6G=mEo`^_mx&x{E2xz?D5TyG(|5{M16tPUxi;P|-6@1;M%D z9shg>uqL7sP%pWjZd3vkK0_rnjS2(DlGs&+iLW1b35z+76Yek?G*KdrqS2qw9058Z zHOVw8ic-tOz~ZJarvb;Y#&<3pjql=62_$wz zN;LMJ$md}j6Q#g(edriUJYZ?WMk$MlSkr{4ae)`4THJx_#G;HT2pMt54)uK@9=*L{ zhupdVt@GF`8`>Dej@IiibdV)d^xE@`#6y?#+9YYvedluDA)Ju<&f{f;rj6JrB$Oxi zOy3QYQjFF;6xpsHA!s=U8%>tZU68P9lgI-a7X!f;wHQu8DzG9l%ZSfyZXc@-l)LS06le6JW+N{r2`^UE z8*uCvpvPrVl7Tz4(tn`HZL=5GqK!yrQ*d><(E~ z+Y!s*^R!99X}Y0ac3oHl>`43?^r((S!FR@noKArC47rrO?W{lff?i9Tg6!=2{og7! zoA=+}k@aPqEP#akvFCmq__S&UB!ne=9(Rihhorlv8o8QmfeMU6zsyUEPSA%`7jW z|CI(Fwr^G~+3=T$Fp$G_sUcp%qkkcC76M8|3Opq>sl^?HAy^SzUF~zZ7afWKr(x1Q zQ>?G)MG{Xr4jBIYkO!) zy-3^K)I5HsZe;AuP6p?Rwi)^PHH*VjI;=+ge|lbhbcFCh`-{v#W{+kXuWu}0*|qke zs>_9jn^A+qH9$_O=oY>Snn*GbNg2z>Vt1@D0c>w}1sR)yxI%l2ZAErL!@*7_)JGv0 zJv2QVD8qcUL-;8?EpR+7P}~apL|fbFKd1K=Llll{)zHi%EpgLc@Q4hTwnkG{m#&!^ zKC-o;GJH1{7YWR5T8kreL|Ta3K|vA{yUy<69)Tl%T9aT;L0q0xPm2Sv{LDB@z6b>f z+u^APVgH^`NWT~b;esdxdWOK&_A>-vv1tOR+~v@D907)g!b8GZdRo-zA?Hn@UALB{ zcWH2AFZc`}-415q7!95qBtmuFSWn(GJf5M{cJOUC-OZ)~Tf~!Z?z6@S40X^#tOe#j zM;@2hbyaGb=MS@4%E>{bFA#*|Iz;^6`?5v^+gJOp6u9}DI$srh3EO7n?c^6YnZa`1 z=hN?LPYt_r`eg}>iSOj)=iX1nS4$k9WTsXhw{P?Q(qA|gutKt)kRY8a7VB3zny zK?L;uAf|WF#W(=q0{|jC51CrL2+>J#Xd&?k(E$<@pT?zb2m}cS_dr0Ah@&ttmuBxL5;bBBP2_2sSF-RGc6abRI#t1`S0MER@bweD)r7HCu z#*M&{DrqYjJAvdm@PaV$RT2~DDNbBnY92k4l8T1`5}_xcgM-W@q{owlHezlR1HuzQ zeqrJYq!%$AJ4Ax`O#@7ZxU%shFpY33q@z$?f`+9bV%i)(^^qtCh@fZ>@oKS`s+Wee zjhDWS4=5BC!Y@Qk?T6_4Mz3iLBuQP+7E#DZhzOVe$rJiJ{(Vt2^J0(Ka0?$6RjU^I4N@rYE1F^V>!Y<)2z;py&~HvX zQXyJmm8<3HFOB&L0j+TU=Ld>PKUq`_VvKRLN!G2k<}IyS%il)H*`mZ2S^}n_G^mE5 z2dsx|*XaP_I)ik&ZT@=AHTFpZ^k~dU@{z7+7(7!(J7eL;L0dXr=RlLvF?I zm};TXOzRwM&V63($qf0B{XE(uF<_oAXq`O!b$QDNWO@A{r?+Ph%=_xfg0|!AJ;6WB zXe+0`LDUg&{Op_JmiOy#G!X6Z!~5^u4vC+~oYUO2g73kOV_i9RgUuvfRC{N4?D5F% zk@VSKbmx6QBOlq6aOB6Y4pL#=1s|yJ&ZQsk61>o34t~e6*#~^B`++sj5PFBGs)*6E zB(m1yQt&S4lj09}CyT^VcM%l?UBr3-FBk7XEMdZMejiBc)T2Vu=K`n`{1HEHe8&m9 zP!K-lit|BfF2^K^OO{`w1e;9aewh_7Wg1*uTFuakJ1-XRDB}^{(z&chPbs93JjoC}MxdAf<2_pPKWXBzr za2v-0L{08QfD?*7_enbHU|*O^#~dP>LQ~}K3n2m1U^kew7y?WN(UBOLRIFvk%;^?` ze9ZJ99P6QaCpX`2G@{7Q;^L7tC1Dx*J;ewOhmi5n;l7ISW$2B1*mEcJq>DqNc{qFr zl~BJRJVALvPrBGW>0&RKNRasRVok|0ipb55MR;*fFX0x4+$TZLUtk6acd@99XBz5q zBSRT>W}xs`bNHjrzd#%o%@ml?8swF8$Qs=DEJpoU_E>pXoZQK&2-8L5gMmd+L;oq7 z4%3tdM<9eUdX8{3$8kSB;F^$WI#Zh7gl57t{l4u^uQ#c5jp-@FXHWCr{P~|x67#?b zMK+qVGdKYx<=;+EC~12J>~F{9Fi)dofWrpTB?`I|#OM?_tC2@vRb(~JW`#z=CZjG) zPDq*KyOhD5aoRT=D@J?*7{sSo*e)4f=?R_FBi9r_nb8C*+F@Q3?=tdq!e|L&l09a1 zASaZLbM=IB3XL7(Kx|5DI6#es80ShhCzX!iWP2JR)J@Ks_YvuXUe%jERe|w!KhG4c zjN=$%R>FYH+8*(VOph7aAq-!Ts3-|y&Q)o7eJM^Vz{RMxF;vm4%pTe4k3C6Y48wJT zEHuj>3a6twdl(=MX5|XhfJz-Qj=9#LFUZ%&<66%Ol0_WBLjx6tqiaKFRPdyglA<$! zaUOV5V{~#uIOg?oLw!X?eki5mQR!qKcIJ+BJKJOXM>H*Lg`QjQ({}85-wv0QwuG=<$A7(q6zc<7DevryAtH80Eg` zKLXfeC+_WOs>7OW@$%!VHe$0y(hCG77YrzOv=J$X+t2skB_cJ z3cH~<$84Kv&`6yFgZ{?+`38T&+g?gs)#LkrifQFaU7G?P1?AD+S2nUq!otqp|2<@d zX?Qm_Zb)$25X4n%j+Mx$sH;Ur1FAe`s|;s}B&7!D9g>==&Ud>EK|$SY2K#fwu#wZy z5X?H!t@YKfym|$v7n#%g2~7uh4>KA~WrP2V44f#r1PNGT`am2#@GKLbCbJQgY+wqW z;C3Bw?8*~a;5bnXkfOoa#x;cy_OvMSRmBir>;qrglIIrQd9@?FkimuKI&Trz z6gghN(J(`ip1Bh!OX4n(di==2;gL7;uSuR(A)^gRkot&*>G5f=OF}Xa_<>8Jb0>M@ zulG<8Y6b(B)Zjlhu-an0$)b+)|6JeA)j1|2%T07P3(my=3x?w|UfTd`UR4MCW__!@ z(}Cl&Ta-v)F_+U<%eQ+KRXGEFlRg*SB3l6M2HxL5*&=HFTO1MSh>>%0$%x!D>^SN$ ze;babJLz5$r>yZ44>y#*jlR9aK)$Q`9n(JK>R3gQIVY#iOnbnSK z+clfMwzFdYhgK-uT-A9=jf5v65M-dWvkI#ZCrqk~3~3}A zQ-*UKE4>FGYv`ePVBnThrqBZ;gSb5IjtKwV$Y1_03e+17Sz62o#$0XB`kcS0%ovVg z2FI4k^IGWIDg-Xjf+MXE@4V0FxB_`Y|K<=Upi8w}^)i#jsy*Zg1)+EJ)V3#Rtm0JV zi&d^~F%jLQ(nvo!S|YW7rAD-9x4>G1*Bhe%;?n62)P0WpG)KuqYU|Q@u zCRdo;f=Z7!1>!RSYO{Mp%C{EjB~C)gLmy66q&#i{kJ+YrC`cXX86-mr;fwFl-oZr@ zTgJ{SGR4s+oYKmT3^aTu4(@nOVGRI%0FOF+>E)@IeMoCurs1X^BK0^Y7g0|<4Mqse zaF6{zyhz2sA#4sg&>~!*7P?4pMQbe?{D@u$FjOqw*;q*#VAc>piW?**BC7^VCgZ*4 z3@nHZ6tzp%#QK21QAeB+Vk~#_$9%r7nvzVs4Y3cnM4;kfU6b@}30#YbzYtNJ0Fuub z&k*MWh_7r8v}M+@ssZ0MCJ27qo#@9?qGb;8E|x7UapYQ!sFXApM&Yp$Q}yC zcvm3UZIeA_n>8-R^u?fyXtsUDT*`$xhpQD$ozXCs8#ou=lm%_Xfb%i_ve~1b%@_aA zmwrwsI->+%gG<+N%;T~f8hpeUmayKLV;t<%J>O=K|1@!j;|-s4Xu$`pPX#mbWt%25 zbHm69CS>|7Dxn+&;S}TSe947#R_vb~lz3i1V{A-pnodo!(Tq-T0?8)h1aeT~yKyva z(^)1K?~YdMn>0B&xrw;RG_Eh51$kuCPuc2EZ;&bmr#F5ycFPNeniJk~IvZ|VKnANb zA#%VR#ThhCu_?yTEgGl7{s>EdQPlw8D7zVJ1m_BGTTb|e-GN5t&@<4s0yM*YcCZid zqpc8aa9EeOoa&nv(i|D6Yn~jjWj4i3TnvXr0RW-~g2dbHJ&Mw-R|Du9TjVX73qUx- zeVi$bMQV{ViXM$LQ(=J3CuUd@W|=Q_5fU?;G>MsV`~G`&v9xbwenSB=b%Aef)7G9W zlkTKxGy016;`(`)KvRjMsd@38!!nB_swbM*%_s6|`qd(m8;ZNHZ zfEZ^C%Kq{3oQWK>1w$iNjL1a4HO(!~fY>eCCMDg@1dm`j?Fi~0`Uv=RV0UCdjvjU6 zw`jK=e@u%z9N-mv-xUHzREl@5qhEc;nge-5?(t46opjPmT%U>9MpM0=#lH*3*=M}K>j(^GIDnteyeaIDZCd}#8zO0I`LH@+-DSvS_)L>3E4CHe3Q-;E!?wWv zD2)__?6(br5b}$~?#SAJYGIJ)WGRpuml8@idW#0liWMNlal!lCXG?Y$4FD8rmILZj zdE^<2Q?<@B+^X*Kci?zWa$nG@bNv^wFSamYn(H4d@KA8V659X#B_eXbVbMZ&#P}^x zDvG&%s4yZpoQ6@WB?D(e<{QbE7E2T8Mbi54{b$rP`0a>e8}O7Cq=@f7Ymot+;Gkafk^ibBlv#Y#YHayO0BqQg^ z`_CATy?+a&_om_rAV-4GmdQV4I0jzR*TUcA3#$ZzIql!c;tE2Cx0nb{vKKU)R^?K$ zP$#cMLNkkpnyRQTd}aOZU(%cYlf!%lPHwV?+!6<6&N5J<69xA`Kx1$C)PdF@Bs#&O zdn=E7!{e^Ni!@z3FM;4KM{@D4`o=eGMAwD(H@*?@X+iLfZ%Ao>C>;p2MZW3ChPH3` zBNs)GvxlPYq-daY$_qYCRBa8&NUjlUb%7`a`^M8;hUQ^DoR6?uSO`ilR}^qXeiBDf zUr}T#il!B50cifV9I`<3UZ`t|$4`gD@BUPLiGDm$d)iXuayLT6sY6J~i7l3;u;sg9 z3bq(DGcjzXrew^5Yu4D-$5IQ~-;Y2&pu<2XN&@RBJ0v}}bq6&M3OH(I7b@(Rm z`sz|sP(%obENNZbi_de+sBp}~0!KlH!Zw48CQC0J3YZR}{l%ofAOnBUX5T#Qncifk zd+b<#-W`aWHq)+Tq-Egd06Z>SzxIvx125)QqYnb#w3>D=W5t0Y(bTj+>Ic!$V5Dt* zec?nE{1fE~2jy{lfko5KbddXE{gCf^5fhJr>(e&<8{Y`IyThKxxGx*(6SPsEj#Sm{ zrJYPv4tWIR2`#`uZH&mtbQw~+xB|n&aOHg&9;r^^gFhBb+)r}usB9Y-S4+`t%)Z)BrLZk_|#D?mlI3~meH(X!=~?1UQb@J0`h zNehPkb3~84pL;3IE9}m)g$x}vJ3Phhlvp|@hAe3yMznSdfP)}pNhnP`hdXquulH3z zHeB%47JW5l=UEaYm{SrHS-pfrd`=?%f+WIo65)hIlOvW^O+;$GojMnv5lVWQBDR6i zbZ`ntcFvAgu&b4bLcFk!=)4YuCLw`|p>K2AVhn=R0wmq%(E5kI40o+)(qs5 zF*%m4&TFbX^)t`%W=NPqw1!qXj@p* zl3pw`nbVvL+|iepxw}qhkbL*Nz=06Et{A+hDAs1??x@1K{R61iK(mLW%dGZ#KCPu_x)bqrd;8>(FGxQtN})`4j4W9Ct0yOl zz6(AC0`9H@sQ8o?XD7*hMa#zGwp%#FE8zY2OD3zH#&l*V|wCXZG zGeZVUzI|mxKI{&wSw$7>9;3bP194wV#K)ve>H;MIW$tk>`2P3h z@48YYQeX;{wE(`i*?DQ=J!0NhRkiips?83`gl!xhA}M$UVC?)J{&&c$ zw&2^wbBff4h}+N-ysZ5ap%3_!EvFel@8`L+k4=)MeVk`<8!qxcgvyy>HjEg=a z8P>8n?L!}s5zfXDct*XWmFFWCh(b zj1@q#j@k6XbJ8b`j9DYyBuPHDiTV5;sZGVF06>O#D6;#U^AU2^S(@eHrXf$G)#JyH zG?g8*RSzpQDUy}TItS7Z$)d~<14ldmk~3Lx&@eHQf)VPi3L1sJ+!gQtK{nAV{#7-A zm!{3nx~f*V$t~`8=S`#WlJIyz=1AlLVnR7kksxCJ8pj>fSu~9ezn~7z?@(8KwR%Pv zcgQ?maP5QubIsurPO1#2h15iRDT1RAqgyk8{A}}cdMP~bF`zgCtVQ>;OD$M_jV=M0 zelaidx_ZeY`I08neZd}?8Pzx|NY-by;s!b4aku8ls_Os3)rct88Ff%`-hBA=Cp_BF z)Vf0g#Jo&Iio7NZ#&F?*RwEzDYkQB}wlEXs$PNI=38tlg zDQ%kMihG0_uEm$yz9(h7&{`U636Hf|og-LXPO?%#hl{!+EGh2?zt)hisEvW>_{C$h>S5)ij>r0F;XJE~pB{yrowM2|Ou z<}(L~m@W5Q#SH1lJ6g_={dHO_W^%dK3}3;-CeD0uPQj)MXldi+;cwFzb+A z4L5r972w|1Kqbb_7!sV-$mhgFv&BQk?rV!2$R~=Ua^VCcsZ%x4D^L1J!5O&ICviiv zQXIL9VCKn>+j$|`PuLH6@>9FzTrY4gRepNuCn|zK-0@HLjTga*8u=^h2eL;>cq!nZ z7WjLx$4TAbk8o=(%XchS_8|+L)9Qt@G%`+OB-SwICk8T}3$opg*8Rgy4rt-+O`_&R znwqsSB!MlydMP#CjmGHjK_v8i(1R7XJ150X zokGZWKuHsF&3mSSw5oY=Ls(n6)l4o3Yg&6Jr2LIp@#Sj$PcSWaGIHl>k zBRWKO4AdREDzn0JjL4|av}npj+pcV~7Z>t{XAAN{l6 z{-ZzmwIBVLzxBtT{HB`2r60|LG^c@`)xrunmmROI-im z&%gPbBd-6^AN=Uk3tW>Z2Cl#PJ5#QE(kD!hNNc7)J!e`dYo>+rIxn)_L>hm(6EbM^Z~y9#|J#3RB;NDc3+{x^ zvFwD;PtW+&!V^A4c!tlOY|rMHps@MrlufP1!e+0=n_{fKpK1#K`~Ud&|HZfe*`Tkh zLiF@c{^0je?zcEy2E48qCxp!MR19!7wK?q~2WPOsjB_hV^(dAupc6TEf@2~$Ad;ch zXfF+S*QPe_hIIFqK!!CXK;i#2e{XTHLk1`oyV@fMF#q#v<<@G67kca0`i+P0=#xY9 zGe;S~igGOt>o+Rza*2a31xh5Yq_9S{nm;q0*7l-Rv zv_<5~=@(tQaQ${U6l_duvY!1w*dN4!?&cr))fv4H^s761|I$}qN@=6nlDmeHKI!N+ z@xPJx5|YM_R}v`hYd1LY@nT;v$+fJ%4@U3hc@0#_lmaVj_qKsK)R)q~`05LNWlciL zcVv%fZOcSMo8?5?N%ch0QucL9EDrePa#Dz%@Bc5lE~R=6O+~#^3%M6_n*p{*<@HF( zCjX4Wk`7rMTR(lC$K;aVzLh_s&*E8S!LPonS0{y*r`4enPjX9H+Ut5K;pt)D551+- zD^(>djMy5Yh9{N1HPSHihprPvWARXnkR!HjS3t46Y1(SOSy$!u_Jn66M@?jCDUS_{ z4Bes`6*=@>IG(4no@tg(Y)usclZ6bj(<#H@VlwPQ)0f-?ypQy&*S`-(lZ8Vp(l_4K z$wK3b@?_zRUd5x%m5Cq~L<;e`jrf)E2E++L#1QIfM2ZX9m}ij4;*-CeBieVIZzSX_ zA}%8U)5;nmJS+iTtAqd3W+3!AQqGAcdt^0)!XRlYz`Sr>$mV>H=0zJY`Zw!lv&^0$ zV+&&a3f|SsHx})Z5Q*1RaEF%Io@V+4Lds~rp*V9ggOf{cS_}LzY~mp+5s#O*I%K2) zoEbIGfCA}bAr*rpVBnb# zSK#?PlVkw)d{zS>yskNpGXB^J?%39|+PZ?4)D2u5vTe4`?BnAS`0%jnIQK&0AW4D_ zv{_~(;>V&=i*61K1J_9td+8+daCC>1HvtX&clIvtHbsrQCz>d_NBUr|ns-cDEJu1i z=3Hu?wXBeBZAY8y>guy@bQi<`hqmssO*gZfZT&dmf+iZn2e5=Z1Y}yQf!l7i%H^={ zf;jkboQsfQbfl^)+Dfl7#vHlI3o->oD&dCCii|AmtE?nakp1o zX2o;vkQ2#sEIx*M#QpT{@hWxCMY<~F4A|s51l?E5uKK}u%I*qvq;dlAC=kh3jQw76 zd|P(;d1RJz5J)JADC~D+{a$0m_wU?@<~a*a$?#G}%nk!hUZfn{Av2g8TNv{!m|eEX z+KSfvi+V@}fKTsvR(3=hN*V}@>Vb;VBtsKNM&0!Ij;&);140>b-fcDSKbvJZOx)Qk z#(rrpR}r{(Q4-R;L*2TmkQs=cqQ&}31%ZzYTS%@Uc}9@epA-kj4cqwl_&%CcQ)A zb1x-@E9TS*K=TK3^F<7Az%wV(ZSQbrlHY)|gqol*{KLe;xna!(LHk9|ym=ee*LxRhr~ z`IE>ON9jc6CYZ^K9E9+58Q+v)ZXR+IfN)P{MbpO!`F<3UaHC0y(3D_!BI*i`p43r4 zzVDJT6ULJgktrdYt8I3l9~u%f$5gn)Sc)8fQYbKm;&Ir5MDk3fkWg&_(yU3r&=gF@ z1qI@TR_C|4y1mi6>7=YX4zrM4 zwFn13R`yM*nN34lU!_>o7aIkwN!-=6ktwPRB2zBz%Z;Mfct3#jR*OnA>2Ph-*^x6X zHHun`CCV#XaQqDm3QWdP9Ltt>R4hCR195{O15`gfHe}ilR&3ap9%%jLZlQx zEH{x@aCj+);RYaWM@8YZjAzO)cO?3vZr1&P^E}{ON71y5Z_0=u<}h535?dCco+S2l znPJMAgeCg0p36-i%;s~}(kPx53CDqD?w}MpRLqYP$JK@UNy>|+h0G{n4PPN|;!yg^ZrI~ou=2Px zZP%K%$7Jhcm#q7WQ3Q8(+0B86K}wHw&x#$#Oi>>QhiCO>0DYp3U%{@L=kE^ikhzxt_feIxRLP}NE-m;(wDsm?4u*G&(Cv0D`H;AC7(0Dh zjNQUAB+4N%NVs_gFrgXp3UYR-1vg|=EIhC6zSwS$w71gxN>c#G@z_xBE_DW(DJ`Pw z$@U_v#lEjkbO^XLc!3u5D04>|2sz-}fz)hQAI=bvKh(&WumGx}PiJLjI3Q*e1hjCZ zH>MQiF#`D1bF0;MP!Q^pUAFG>Q!Ynk&voXnS(7`B;a-B>Z#aXBQ9G@;gP09%7K1lF z-X189F9Ck>wf_3TWyo+6*dHwVa*Hsz^>FLSll|30vy`ic(GACloKSkZl*3ql+h1jj z9^;eD{z%o(>kkCQN@RmvW73U}1%3WTUS)DmM^^>%s*itp(tg9oeiNVlUwr@M_tv4! zSc^`AG_sR_`XJh>$|F5Bw^!J$sDDj9SxvXyV&ar9#U~X(Fc;orPyOiDPyOoEEX_S_ zS`kUk!2p2dm<--uJn^sO6VnT_Y&vgd!^IBuvD}574v@Fz5(WT~i@I1mr72(Njod3S zachcK)(Y5~n^Nf$) z=<8NebiwsL9b`SLmbuys9ED?F*X#2ly72CH9mcIht}HmYyP>tDZC|l#+M?|^)UK@N z5_5-a(tM@2#7+-jV8?x~@?Bk(C7ZAJ6}fA`w1)FXx z8CX7`z`>u_rv34K)#Us280uQnEp;p-&Qk_PX|q=WaMJU_RERF}rQ|x&)K&k5CUit9 z?1K$N89>>(NjRpcJu3$Z2z0B`7dVb%k!4bn@zK*aIEEvszU{J&$RHStRlbG*0^T@S z{gHv8)qgS2TGhqlqkvB(elVgo%l2*08F$YbIP#>MhMM_25Zfa?op9!jIfGy6>_|H% zdI}fIo)Dz9M?2(?dtBo|4!;fb8)QDnI65|RE-Dm*wbeOtej-6{s98sTJ2>HWB@$v9 z&6n_?e7@e%26%N;R9OwEfBZ63x&-VTU~EkuLR24*MMav2go*jQ&7_5C%=IR=YyCU_ zmd^0EMYeRLV*_~Fp_+W;4~wdsjeav9x5Ycex5y`sH&yoto_pL>fc@T74~qG;H&uyb z2nBs*R|p%b9^lPKpYpn;Py3T6?Z+}}HyIO=3;`!}sZ!cn@8}WQ#ZUpseD`GKXA}z5 zzvxaMw1L5s*|Un2zv`LZkeaMfEHB~a{y@aQm&MUJxYjSWMNNf@7BIFyb=~q|S(L^8 zQma?EM}~hsX z`J#NB%Hs3^i~UdU0VJ>!)oq^Zh^Ck^<`O;9Jfnsp$Mr;z=YsH6TOr1h#)fn*c;hiT zw1Zi*H+gfZE6&7*6T1@Uc8h!FnK*gK+lttEutlO*L=n)`w9bms-t*LQp+C;)OiBRw znYP=H^cd??R3J?jH$MIF&o~r z7hb@@DzEBQ0b=zPNgOZsuUwnN$cx9S>}c0N;6!>3H)JUKkJcIf0xJ+2_X!=CHPge>QQz`Q>SPf2Iul`(J(aihZi} zMLgfZ_lX7?+PYPxNh4s+Sca5|1z+~>aZZqrw$aE8N!!LcKTKnxd%v4%sg@A!G={hgAaxL8`e+G;T)y>O{^FZRjXH|nJ=T_pxB}Fr@Z0#tqS51!d zn>AphMs7Xlf$b5Eh3I=D@0lD{(`I^(U$~jP*zsnlr0ieOW#2HfFJ`Oj%+ng)C z&zp|KgR*V5-2<3IHy3FD7Q|_tLySpJWkW(EMy(EQ`5Cd%=6bq`q)b z%v@*X0+)K6F$xUqt8KLd2Xo-cRQ0aNOoD(cFYS4^SfJmxa3yalTtOY+8Q(N4={^Mw zG6I1d&P9-MVS`f&jpI%P5e1CC$RsZTDds#w{=065_H2-Hj4UR&-w6r5KF;4yJ@J^l!k=Fyxe!QFjx zERmkP6)ivW7=Svpa%n%QnB52YX1~n1z|# zJUF!Oc15ncp;3GlkY@m;qKTR~A?|=7{UBYmM%oZ@)M3H&T;3v?QG2Z6gubdUOPsl= zU|#R_i>MX$^UIbFD*0-ENUYX_G$y$q#^b>D)3=>ZywP{rbNIG7^GaSw%^o3JGJ=xk* zLX4NS;p1yND{rlT{-sy11mk?{>Yzc4ff~Ea_>W{&Lqam@@n)Sbmvzob#W;PIYngRv zQPEtiQqG2zay}(s)-Sr{@~C3YkY(Zvs9%ZygrCF}3FBNI3L3RBe;3ntNcgeHXMk7> zxNvA;x?XoU(S(+mZzTa1CPhv><{-i+t4Zo?LLloHeTP5@WL4taF9BB)SmHE}T)y+V zTDJ74!)eBF1C85k6Fz00r<(R_46$wn4>^->%(N8wd6WfPU$IWH;8 zzDy^DW0l_dFDV=%pnY1H7FyHXg+CMo02yC>_GKgGg{Kv}D!NNwQZW*03X+sA=~2nx zsgmFPb5ra8VurEZTD#^xooXzEnMX57Q7=vtY7I6Xa^P_Kv>XfZ64!yG);Q5d020>p zIr2}DEdzu{oHlec9yq&Kou5F%m|Y0W6~HhziUx#X9Mf1{R(na`#0=taayC2C3`;eV zQfs1p(ytv&>wLwS?K;e;{W@!s4&cE8*JC%;T8y3qHd`_}#jcs&Vu{yS_ zTfW+5yQaZHOVc`1dh}$euj{N>0p7E@l)B4g6mGH^)-$$OXO-aOux}ZeX}AVJV(*%BiuSZzRnuBaYd@Li>vNul?Sq&HfaeFQ8vu8a$hhxW zGK>J5PUhLV$}c2{Gh4B3wigimCGxK8AfCRb4OhMd>tf+7OvLTbzDu;8lfD<2+-ZxP z`ioW(WWPgD(>QV7ncM(6M+Vs*3vNEj7e~fX%a)6Hd7kLp1wzQSMF14(Gx*+l5hURK5UlgxbEHf~uUD-_E$8sokjCEjqe@K zTz4j=+>G}M%L4v1h~Tu5eMWK8S;-3vbkg}oz!Q?_B3G! zSSfSqXM9SfI563mAIy-JC zm7aZhg;Sq1kO$W|^&S4CIrT=IBBic|`<&6n_(={&DS49#mnJ>36F$dhz?s9`YkUR{ z2Nr2Q{SlwE=@4j8hSe>}W`b;=mgiCOH4A=j-|a>fqN_}X3|kOiV=@e4`I(svMojYY zlIC%dXNza~GaVa`)za_3yTV_bMxu9@`HSOFbbk?T4mjdQ&IyDQv<+-+C63w?hy5vCWpqlFLtYP7rDv6tH^dvN2D z4s<3Qipn{X1Kf45vzU4^bzEjK^8C@Db)Abm7C1Jf9oM2d^dn_kRl6q#ipVwU`7?bU zJjZb?@uJr_jyYP+%-OD9UhI!;?7=Wbcr{nkPYbgCX#Yk#QY^#+lC92)KAr~S{<|yu zCGL}*p74^B82-E~{2_DGj-A|a#6cE!0YLeD(-b(!nwM3pbhf!Ej|Lr93)a8NX6gi& zXKVBGcs6wXQOD1+dM3_tZ@Zi}BgS=4k0aXV(s*tfWb2*dbn1clR)(>(=WCd`(`&p& zZp5MH4rhNnTc(Gf$Md2aT;x?RE^OGGF~=zm;|Xg6Sa0$id#>kQnzo0ZeNhNuFTBbg zC&{IOJ3yafWu!s%ggiYx35jqnFz5MxKftXwqcvlO^APwxYEW;aJb!w~nmWz$dwn5G zl4vw-=vuMgy)b)lL-z>kd9rTSl<3(RcOvVreE9{~z*g(Z={s$+=SU1n`+@9auN*~+ z^bb$6eM}tThM@$qOsRtO@kuT&E%bG*eNK=2YP7TPW%laV$n zDvE&;j7Qhi0ViIPQXA*GxIr3z#^Ewq(#O-Ph6f;HQmS2Zp)?JE9UrKbyqQre#`8ap zo{)=+`K~M5qk1g1vut+AN59J+dRsi^S2@6$aI-zq&@Afwlzqs%?HCaXJFCY$J9*-e z9Z5BCnZcMqe5sQyflO~6`t&QWULEp$qo%kUlA30Oxj}o8k*zL>_-TLqyd?F&3S8Pc zjjxKGG;nBJFceBnA;wqY^Wc3Z;mK@6aOSblcawmu^pWuunR1i+-aKOu;}VwR8)SS9 z1JCuWV9cd&N=`3ugA{chFjSGePWfr<#bneDC3z5Y$$rDCZ+#CoFHxw^4FjJHO|wyn zO_A{}Ma{cl+YcqzVw9vwME0L4;|8YCa7I4s=Cs4jg+-p*T>t|_B+aBR=((n#IjIsq z|AWm7Y^=gK@Dehc`T~h5FhG9s1tQYDq8PWzQK9GhK5UuZb_#}?b~wVC(b_w&&?*i7 z5eGry!I&7#E%zD0Ge7{47{buSGC!2;*)*4Q^jA(DNQ!JklQ3vE7-HG&i}6B#Q6Z_a zSg_^1#0|0j^=ntJ9p(nE&VcX5O3Z6k2nGWet5RPm9k)#GesHM1l5)O)cSNoerZ{LE z*2(Cqc92G;TBH0VPOU$sd6^o`cfI<)gR$fgOt1%F3a&7)uT~HFuFGZIF8TJ+-ahOt z9YF8EwY%<+Okt~)W1Vr%JshGeDl(%AILmNG@oZ6axEkzBn5~*Q&QRN`;VmAr(zTEF zjU2~Iau%vAr3V(phj0#{A6R)$YcHOvP7GeXOQl|HklSpNp(aD{Rx-D+mbS8Lib1&5AE7SG|JQfxJbJ}Fvg4f0#;sMD{=+C&NJj?j!Vx6@7;RQ0) z2A8i+YXb+fOb`*59d5+?`hWZt4f?b|{wSQWV#f{xAb-G8WMa6i*wz`e9Y-zO0FWWu zTTaGcue!F?aC3RHhvN>M3uw7RrZ62WT*9*e7EghT-QCejdU|Aew63Nnh=gQY!Zdn0 zG1`vzTO;-fUAF$1qRzyvbo9->DvO4OaV9DGa69`oqz`*QIvlcErq3a0$8zZaU=escBUxknh=m#q!ZPpJL+TerH8}+d(b5#Ocf19@{-=j}sEPP?M7@ z!EK&5xth_Kw)Zt-lI)w&O+2x)usrvKM0|-vvBKs11}O)NE#PKn2xs|_Pm#4x!alRo z{_IfGa-A>C4~-%bwhL8r-McW=G~kUxJNT~NugO%tC~Uo3nBG=P=3Sj+i41Gb$Rhss@j{rr}^WyW7l780s`;&eF+UcxD+S#t@bzRSg%gpMgPIMM#c@y6avdF935T zFiv3lvgX2_p*M-RbZ)+Y3?a0Vtm0$XI`WIR4!1;pLJkBYL zyePQhzw?l9%D**1c6n)Tr`_U^(Bd_{XiM3B0P8fCVja)~J5PBrW#{3X>*-_BP6rwdQn z5G#FDCc29O-$bn=ONcMnsp2~%MT>4_FiMl+z>iO82^cLqM4=3%iWg6|i@~q8}5PWvS6)(kMFP=1V;&li6%aBF*O3 zJ`gwTz+tk|kV#WCYwJE=F6{;x0Cy*QBo1E#h$!$uS`Tg#q`N#pz`gVI;Yizi+BWs^ zB4%UaD5P0|E!)yYKsIF>@8_&aDUPgKR6A{xgUBKk{@NLt~;8HXjl#peBGvzNBf#!jLIt5 zk>=;f36#(1lFJU3$Sj{c;NHcK%c!wAz>~%81`FQ3fv}b5lDi-ZR7!+qUDh_8omKFs zt}Ej`6C4=FzlStTIGB72UdbkEVIGPF z>6DZXIbh*%)L(j@Fy*;-2xpEgUaD!a;T_jl23|;`5V74>leanTG;y$yb(8kfGbwG4 z0j)~AH@IYH2yUIyiS9fvX1Ly*bBXBNW*~J=rS8Rdj6RiE_Z{4O?1zQDq6MBRUaiN% z@SQt9V9Z!a3tAd)$Eumu?MHXCagB5Fe}iRdrZ*KB8vtW*|0O-c0FIT z3XZ``Jqvzx9W@j{ZwsSy)2EUt?y{zo43&A-x4vS~z2`+e?}}FTOPn^@&T!+5gAw^S zn|_>6KQ8n~9E9w6#X~P|sjuPCFy|E1QiV7&a>_5-n6hOo@fo@O;i8&$-a;1SKyc_pbRVuRi zFI9QcH1WMgW-<1Og9{^V93GHYv%sNEQNmji*(|40G+F3K>xn4x;vJ^+b~lUD*P z()q<+Ice0mlVb4=hyNgnnQGZEimqOAHOxEJ3Uv0TyJJi>QB}tt8SLi&8e>aXCgY($ zAv@{pNjE$vqyO~ZkP}DSRs6@7KY{#-Fcl+n+WgmClK22fWm1j-opV-5C)K31~x3i`0 zUPw|^%T%YS=?5q8sU112M`Q?Humb{iNvN!+IHmv8rwOGbxE(QIdWRcoTHm)@I(<^> zRMzH4{Uo)ZfB#Tiu0Kw1Ez^Ts&sgXp&AzuMA1`$`MAq{lAI3Zk@24zy$a~u2=9v8} z)KBwa()4TH7KOKGU!3aPsYH2n;O!uXhZBK5(Y;}E`}`Nv)}PA%Qm1xYlm2kAUibE= z_`;gDWHgRO5`ChzL2&!?_~OcloJhM@zv;M)Z~sibIOS+0naQJ`fBR?i1)Pvtt5=0n z#df3H|DV1XOXifT^!8u&=hMNQ-{+&L_V!=)XA5?Mdg03{@1p1ZB49?~Fd0mzrISU_ zo=y&vS?$6AKOuZ-CD@}y@uKx{_B&T(kwrvS^A{38KmVzTdC|8(&xcBk7hU~OrEqHf zCtrH?N?!%T&0x;!=We48Rb5ItCGDfH#Mh|UE^n2%G|UTJt@wn_S`2!(zL5he#|)WvKu?Gr*pE6Zex9_ zB(uv*-_g5rPvj;F`8Be#OJ&sxU!&7@;}O|cSu&(coBdGt(#I7=?X z_pvN=3Wt++(Tv{@psYYFFtt!un?{Z#O7uy8`)U(|%x)@9CbIO%?4X|C9XaZN>o{v1 zSBj%?T~Xw_(!PKO#K_?hm&bKkkus4aQ%;c)PU?!z8yH@YWKRbBtU01Bbj5xM)J3j1 z9$)>ND|qfe_C3Q9bJgBXdeJ}AnzPF33wV4K`$4F_lS)Q78qPzNz8WGBxmLaPgekw@@1DZw#e!_{T3UzhLsTZQ>hv{qkIiXB+ zJ4k&=niozyHr!ZsZMNnaBE2wT&qmOh7^c;PG}}sUzNwc-qD;gUj-$~|c5|VLdt6&E z>3CFiD&nfn=7^%y1J-jwt}UK;hIr1jmqn!~Re9;8s>!F<_L*{xNAXDjYio~dap zoGMgw*0X2TCgX-jaTs%j37lMp3L|!JLBf?CAVh6;B}~ues{0Bz{ERun?U~j+5izZk zk{>p;{@*WYGWnt zrV&omepa$bkaD2O9LKd(8W^TOGetf~#4V`7In3 zI?@a3&RGfA*_&!6zr3hkHyG-jf92JyU8PN>A%z4E*l^4|_CSSa3E8yp`jsonqd64A ztsxG^^toIEkKh`9ie3ueY4Ka?NFRYaijXNzS`d5o*X<~!m)Mn;zl=x-g=D0G4LFNU zPNo@GFi3k`RDbdHyI+- z>_a}AVd9)0W%Q~bi9@!K-N0PDd#b^8-6E?ITDo5Wa-__T4SZ(Nf+)dDh?f|Zkv09s z=2h8LHeXlB@<(z)R&rc(I&5rv0lZbjRY%guG5Ho4b>cxf5|AMu!vmMC4IvM(fMZ7D zXlWm^BAo%8up<^b?gWIq_zdl`8M^>Zd=5lTasQHXExt5j=#2W<*-d5I;5*zC5#qP| zO61y~0Y9WA&AO^cvs&GfaYcQv_(Mzh9;v0d9zY+sXG%laNf=dvH37O){=L2v@Dhi; zE`{t=T`iYHxvdd3tn<|zl<&u~AMyNw_8}{`NEf_2&@yOnd&X5se-B;lxY8GKml4MNB-(Ko$!|@|W*k+k^M5GNJfGg+ptBUZa^vzDT=`kITLw8ef|< zo;UnYh~O!9t_t7UWJQC7LG1qnGltkQPD-qLWG0Nfmd5oN#}KM;Ru^OgtZClE#kH*4WZQFm>PW3HZq72h{uH@Rl`vMzJS>+n@sY! zM~2bUkI$x$`_9?p`^d?JCmqoWzyV<@7Fi__IDT8`|Hv4ELQz@Ik)n}qj%Ng>+(czA z%wc+c!Q<)q(=~TTeW^cEBdtg`XDH&S`m8U4zO#qt!c)@H5k&L+*+^wfGr|L+Kq1my zt2w=&4-b-<>XyTmgGue4r=M(TNHt4nLP<}DG`W_MG)HKl#vXp5+`jdTmaY~k-YGdCV_HddgpoaF;;Kzj|eXuCvZG32nNDLsFl@I zY}AG}f3u@<5)cURg8p?CgEwO_x}N8z4k<=4!w^}~$USNc#NN&e zB&UBL#Vab<|o;&F^7MH1zD+{Qm$fcbjr>7J|#1dc_W{tkVnbWO;v#?-1 z4&B8LwN5n1J&8um@ZHEwoCxtt2TmJqlA*wApLH!=79u}5_Iwrf!=DnK=Mv`QbcmJOI)o52F)yF88F`dn+`G4r~j zSTr&YkY9QszHM3EG2#g!e=_-XNw_k60c7qrtUsXc0`PGZ03c zbx;?0xNQrdcJ|sd$LW^D4Q~kIo9HL2GP6PF2D&mmlDm zgx(7J&PS4}m}iL|t!?!5q5@;InHYV?OIp#6zoOdad}_7Di8v>N)0PQ|6tOgOn_9O+ z@S3Z{k5mvF>*}B)noc5zmSN{E`9MXULo=`IsxS`y0Dk(eAK^ARaq-FZT?cubJVS;I z_ya)m{Lq62`O3d@KTy8w2HY96cKP(53Y{2PbfYMQ`4_uRoLIi0fham&cs)OkQzX-N z?t%}fX3q)I05E`I;B$7~AV5-HTD_38*N=nP3e=FGik5xX^&+we+`I4tDU!#fq3C?mcP~ z5lv`hT4XsD*tD+TxobK-^}L8$O|3{jP;p2f>4O^vZbJ4FeWF3&f?f)Tfh4qImD4tc zq48Ae1aTN9R6oQRxKuwe6UkMg>(KMWK;q(#IHguuiCWRNWK|vPi4v(KPQ%!PB%=?I zLfs9K7da%8oo13KjlhwU__(_A;>b#Iq(MWVRK#u+!!sVt2a%KDj>q+gsR%*IDOsd( z6nMys%$Ioi0a%zc5rh$SG8uQlokN_HH5x*45p6d}E4&!jKXFP*p<-$>DcInV9a1NS zfIW5YJk;q&Byg2bFOj4|9OF_?q8~|zaL2}|yxU@dxwWCvuJ5B?0(5#n&my5>ts$MWmkr@lO&XxhDy-kCVoEWP6dOfdAM}L+W`F11`KW z+CDE35kvjtc_DBuX#~+Y2{B7imxV5E7F?QFNr2Q{Am<0TxzZ{JBSw)(Nz+M0KKLgU z4icI;X%u)qAYW-L#?*}rX`Rzz25W60xv~?|Cwj(*)I8`ouB@m_V`LYM5?4i`7eH%L z06rQ$K@K<>vtHnNzE2#Y$B-$G`kwmVXNDtUDTq_*7U)jQ2#;EB!Zr;rtdc(Tgqq4D zGbM7+7SaNrtX4R_#0=ty%b(?v3eo@Ifr8OR(=+iGBhuYN|HVAd_-O=Lq^|Y1zhpuo zfPDwZ*;8cB9>?JlkOK@=1Gu@-6QtIjQAm@y65O^>=Xd6DVBj`gGGG+!F+lIARz+M!|lY34t$KH#c<#sC%5gaQ^e zT%H6%uCf9Q9*RW{j*;MEuq=FLB%p92}hF)pb@EaHn!V_JfaI_b%W7t|i7Mb(9T=(xy_lmj%Q}%<)X5 z^l73ZYf}*G_4~h7Y&P$|zoW4@qDPNKcODV*t%f8+3n{Jk4+w=R84r`g$8hvADdQ&` zYZO~@No@ch)fS*EIfp6HHZou2P5*rAAfycOxb~{7NH5yzNDIIG9+0xr_yygqi* zJDNlhsKht_#LHp{jL6ycU^f}!`&8`UNt^m@0F>TzGk~vLe#-ShjOEChVnWJrsi1is zJ)BtgtpCJd3xP_6)cA?mYTkdw9mR>=x_Xfn&6TbiiltVK1W66Y#&HB$SzRC=8u;m^ zYl~9RkeTNKYCa-M8>_F|p3SOD3*06{L>tGh-51;JLIcMI+{gmz3g6Ay%c2opvKLh4 zrk2ES+WX>dm$!%}H2voc;bE?8Nd)s8AusTxxYXf}61NV_kZxdg7@c+y+h14oCz3y* z{0ZcbZ&&!^$sZRlj>#kB5B}^Fi;6bNavimEXisK+O=%w88s2Zr*cV=vZ#J zODC1Waa5fnBgV>psBn|`i-P|u6|`zQNT{1@QGr@ipcWOVMFnc80RMps&>z>Xs2r&k zK#=g_;>E*@kCy;1AzmUpm(V*>Saul#43A=OB|tAJ_MZY$5j_WTa8rfW*U)C&>-IdUaZb5TC?}G&(kRMsxD?TwsGclwWrB2Z!|^P z|By|%uIeVYXGM#|GE{L6=w(G4^0!@8&@cD-ficaFid|!{gQN;79A;@cJ{)t1v!b+j z+TZLxBdcQ1$R>?Km(Mw0N6NtBo$#S3m|3yvrNDaXy>_Fksx%z1p8gJXRIZ-u2(hO$keGYK4WnmLY){s64*uMx#LaQFBGgtlv%3h6M}zxxbWAxmK09kO!QwZQkL&P2c1 zH#n`wW&Y%|cWeFqJ~_uYzS?+li5c7UpU3tr=@#wotqIT#E*{2T&}NClb0wA)Jx{B2 zt8{FvrXcv|HnKl0;4%1)ey8rv$mEC_MH3z-G(1*S_l|7-6_VJPvT%sd#_ap=?nX4o z$R=H`_HalTQKn5F_9RHdzyZA1DI1@LQQ=u#RU6r5_ffjqE+j*3_x`i_n)U&bQi#-R z$FTDyydjOO+Klt9jhkBS9y7S8^r5*rB@yE0ANWRf!q)3Azj}qt3bOfI&~VNUJD`%a zN`e${QET32D~#_}(bU&9CWt})SU)Esd5wcfMe7Id&EnX{Nf4QSDvhj`%rXx9<6mP% zTX>v=C>;B^7GS7y_GWqiy+8arux$A;+Qk5og8oZX;#j1t`(g!LPx{p(BB2k&KfH@m z3&RmeS6mXObP??mXa!5joU~>I4B++=zq+_T#u>HmBV+~09N?Qwc%h6-SlW3zDhMJF zihTZkkDVt@()bCFo}jIK>Zp*Iv}V~6r-+(-pn?$G;SM+qEST#n5|XgZzxu>lgkL=< z*Mk-dj)-XC4c&kn;96NZD>O~|iDVV>p@j+(vUcC;Us4)bfr|LX*$=F&qcwxcLBxKf zq9jqcxVHZ9FKcwJ2U;94Y;{x%&73AaWx%}}GF`AcwL8krL7m2!)9kI@mk3OP0rm|Z zmzT%W>EltK)_^_4&z@&Q$Ik>I3A*kdSZxt_KmJSmV2OfbLW0@0-c>F5b&cnnmi%S6*Mo@WFT zFb?Et74gaA!RQGN{V~{;`uP*pAZ?uXLu`_6=;u##gUrxr6Z~GchUcTv^W!G7kHM55 zc7BMgAAi}Ln(-(QNIJ9DO_#a;qvV8BwgHBCMEpceHepfOi(JG_UDmwq zXm6d_RfGL5?h6~7wK3Qi4}lD6D9_0On2di^yMngaNcWZDHXebOFxP79jbH`)YSry_ zSxu&93HN5QH!9$nEvlV{24xJV$sU@|EZ96_xH`+%q#Sj={w@k+Y$iADs{qHA zp{VT;O~cnQi<{mJ3@;ek4hFGsHdWFKUo|{$!?hRMb>{8zlT+Q%5T`pv-*{m2+053h zhePYp_?f>jBZ)qYR0ke0OZ3l8!MqGb6Lk?%{FFVb5%<8?8rg;+H`C5|_q@es2ES`e zkYy!grkE)M4^E2&gp z1Jz#O0S7~+(TF}&U0bB*#ia=D8SjziwYVS-GvI;qR0m=M+S||pAKLsix>a+bt$Hw- zd&YO&a6+)afs0|Ts_De=?Q7G)IF2`#+#%so!%M7h&l?Vju+wDBkjrR1KI=NFRnInj z=h|vC57-+b$rjpPWPf{M(9`g}I0!x6xMTS4$jw;=C7xxc|Cph4%Wck{r4@GPO()Audvw8bb<_SR`v8O}&TnBZ39^fphU~wE zw_cDkzRgif)2`uPWgK*^A<^hCK>E^$o%x*IfUFfzNm? zTxgg#7C665!Om4FjvOp`q?`5(|0>elWFk~mDzC*!58tx42r0tXX-O@uXFQ@8oNC%P ze(QVMHq+0#J$S!@O1*{fXT;I49h1bWJsv5gjOy6swY3*T*tWbVB7nJXjtm5r_pkZd z(lyK~@o2JAG2URH!!|a;A*m)Re7&`{X>rJ*ODfW0dI!W&7&1|!ShJ;f3|e2YygE9yt4$jQ?6cyF#q=GbWErXtZz$Gxms#N}=6EhMzWk2L zN;VKH8JDEF3>A7;=W;R1n`Y%3A@)?F+D5T-v*8{tit57m?6gqh2(3h5c8_$1qB{$3 zXLv^nK?DVOMI<^&J!Qoz z-xbESC&W!gT^1dab>*RTzFJw77l=znEzYgS3SHs2CNZh?`~6~q43jS#2X zW$NH1g1LESCeOAayE94PTjtGm7iryb)xNAV5lLS|#Af$I{klN5DgIycxc}6q4;&^G zUZVdUHj!`|A1O#-M6H)^6z~d2rsX4;fY|P#7d0vmNP1DKRwa}o<`E{PaDfs5UdN>J zS~wAdl#~3u>oJ4yOSN%qN_s}VOiNN8$t!Q|GKLRyZLM}RL&7tjkFZR&i13+6_$8`X ze;!wAUq3=doc7Q}_G+4_Z#+YN5zi{szgQ?m3zRBTCp~DH4FOVTh#FUV5Th1FZC4Yg z{nwZ^sZ_fbtB|}%T@87~YeJs?!ZUOyH1C);I=f$7X3o%tx%lX2E>8%Y4bT2WD>AWE z5TpTSnZ$@by(3-2b6%vJe@X1)Oy0;Pcyq*2e4MURW`H^5M{|d>Lojd7%+Xvc7-EO| z$G`v2zk9c4`gnOErej^!s^1xO1)|5PB8N`GRNt7q@};{~bAd=cG8OZhAP8s@r^1nm zVyNgt)f6URie|zV+~Ks?oA<*1ZB?~Ncj3b6FiY|8Yssl^AN@yug$q|+_tV1oh- zmE)bMWA0X#=kliydixD5H{aY@4r4~$2O?`^o7#$P{O+vK(vCqi)`gfC%!}}zVD*l9 zJTdt*cpiU)%<*LHnj=c?n^S83u8~%&v>yj2Z88$?b4QY%zK-qXkvO3mNf3;NlGtw^ z$|nYbU%);FBo$df4=9CI#n$>kd9y*iWnsb>hT}{YCK-+9W*lYpi4|FIjtq&JEX+PX z&@pj35_9}#GaHwAx8K~G{o2K1#{A|uQ3kAzb9y1-9= zO?EwrdOd8ssz_muSMq?7EwL^8j^Q>8VWlN4?^R{>lrj^F*%8rZHrRlywu0uv-S-fg z+w+seheljsI@G_;ufes;XOhIq8vRYR?sb{r?68j2ju?X1K3{vgxHzs_oFM3Xs2H&C zpC>D8NyzWZJ-l*aFrI09KGQ~dIYAic4xbk0*uQ11&zc z{f2duC06-NG5=Up{RkdsQ%+x`8JoX4?a_4F2Z8CnL6>^_tf%F^>wBD;!!I*t_XbJ- zo%=sx8>Y=7<9MGKf@1S=cmK&XOQ_CLqp$l%86$ME40#P8dZ0d~vf^kmwTr$%m;1d& zqw7e{4?&G;m=QCppXd`y*Jblb5%JW~v2RvueG#4#kg%Z*SMzRCN1Ko9_)1J4@~3R@ zEpcD23!7%c9CM{q4wU=wq_Rr0%7mRNr6J40<~dE94V7U1^Z=D#80^00tkTEjf+u)p zd>*z6y-kT{HcG9!*l#tTd+|bMCOI=bLX+jy3T#~Ze~;3oGI_bm|7EJ2Uix{2ZzZda zsfDaVmYt6DChzlY-klg>N2l9sCe-U345LwmHW|~QD@4*vl1xv=l$U(=W+&(=KFW6b zw%M}B9aY27>(%EHZO%kDpdScKYQEUqR2wbxe?=$5obEONS3s!0>lR&G6L$?Zq`KAJ z<~2@1@tc>6e_``AD(AEr8$)6L3A8!As9klD1)IGP=QP;T)w)jU^URo@6JH_Lyl03A zXv(mOp7f-idAF(W%^-ZRzkqF8Vu~4H$IrL-j6t)%m^T~@H)yq7E56)vENQIfEe{n{ z(~f=HL};n3s;W2Z*GK0}+nCjqM&|SroxG=C3sZPI+uVQt=h>O5o9UCb*g-~45|g5C znLX0H@O|>41|B*O&KKq*Q;qWax6Rd@GcNFELNJl~3W(Ral!ja0rKCij!93fu6`qzA zvVqUmmdC;&?{=O|0ljj_Hoxw*=l zL*72;@<=1yt)Y-LdHPg!vIp0hs+UMTpAm0aX6`SCtdLy2WtkI+f<7P(AJeAE1W^^| zPGD_UMqs7lUq&I7Gh4$~T!>wl@o`Nuu?T)4{p09<#;V>!Y_nSnyl zQw~FpJ=7$uRJ&LBynV%X&*W)Mx9L%V(iaO6YWCsk%b;=|YLi}H%| zjQ{m_-o3*{EX=0rYKWR9C6Jfdk!w3qbORmvMp2bJMsb`4ZuFdh8_#d*aE`^56R zXy?!v!9=MdiRF&#HI9cj)W!kA8}EuhUX!ZWuSaG?WcG4C&@~pVGh!aAq!RI4+J7^V z7rQYY0mTZdiU)u6x#M51{kDe11<;gOFV}gg;ktu1w#z&E6X)NdzC14MyY&HrBl`~Z zf4$xxb0REM$1=OTq4s3jK6l`g%AY&xUt_^$?Jkd(k>c6fREakNRW&9%T8_E; z)ks&Htbo;&A5ADp>4uruh{32Is!MV2y)*N=Fz?Mm5MC2&lQYvsYo?ng377fA->Q*A zx)D%8wz19RI;wvSzho9ZMKiGX(ahP5#542o%RerD`Ntpsh+lNIv>&Rgnt22J^!S{b zhZ^=;XB8x>Nq4)C-!!Pd?p9J??*E+69sqMeNbI5u_om}u1YG+%Q=;~L zx~YBvwz+uBz^+~usTu;kJD)DP9U7-K$)gd@kgMVaFYFRO&vqC2T%>YnJriQk{6Nso zH5i>8id5YEV*BZH{%p2YmlrE0;~O_z!fX}Tn~k*75ie6S0#RW;F}nZjZ@hcwmJ0P$ zd3vu-X8(bC_rLt%`rh*D+4ubi`g?qmK4+Ew>kIRYUDCAb7m!lFppKF8x~M9wD1PuQ z`~i~(#<&EIMA3s|MfQWY$$0NToHi@rlY#f(PU{hwpxX1YBC}!}#X`QWN3c4rD4Z6> zdOc^Vm}`apLjtnC*~#MqX2|1Rd;Ada6Zav)M}d&?9~^uXhYvPOJ;by2_eE7#;%E{& z4@^q<5Xc2Qs-QclV&ene=7Vhf;F75yA}euKLqaqOZm6a;!9d!KH$8j721CC?4$pZI zG&W2}#82$cs_4mpeIJb%|CY@G^PK{paNHO$27to+BvL)Q8LzAp{j09jIi4`Yk3eR9 zR)I@e!Q8BgJsP`M#K^_eW8|DGhO^Jd&{jpqb#lNJHJLyxk;%+BXv>S#lm-tW zJC1%@fg>NqYCT;Ha!U88cuf5~WD*DvC2Rs*h1MPfk`Vn1<~?GhspheeY{*MnK4GCX zTPDuor$Z+>b0lKLfqasLQYc&|dumBH;Rj*Ng%WMl34#HEpNX@LIA=E45t1aMv*wa^^CtWxaD1d$iw7?XP2z$TxpvSYjCZ0=7! zxZ9Y(g-ZP=BRS;QoUoX+UFk}K!3FqXx|Pf1_3fmqd3J@vFKjVVGfXl@Wsde1qd(=k@DSXXP?f#NsSbowL46))%6rf=?6d16M}C6UB)rwO#onvE?Hh zJ7j_I5@#@G#c{yLixpnmQ?3jxa&(Ka+EcC)o(>NJ*;DG+iz!e>19KK+ct{Bt_uJjY z%uj2)$On3k;$e;;#3FXlQ62Q8gO24YG3ds!%`pPwMUtV4>{FCow;A6lGs&6FkFiNUIej<}a2Do%6*fC5X@hwvcc9D?ijJ6IGDY78VcK zYtzs-s3lfY*%xT0r6V+^I zU4NU_i=x=JRm~Jeues@pbtc@<6#^)_%c{J=OiHG2qI=0#3shwIq1Et#V7&*4?$nA! zBz=)!F?E=+W^)#b;%fgBe7`;jt}*7Yp*M#4l_~G(0`G>YZc<6d65Eb#{Lv5Iy%U%Y ztUB?c_&`~vJ3{HD;t7OJyUFND(bejqMp9{};L`O)@cl4uSj(3I23q0=$Pg)?lnjhF z-DVc!!ZwUn=mZ*`;FG&D+em`M;-c+U2FL$|cm zC1u4_y$8%oZ1x$?ge(z&%A5#2t2}M!N(OR9lRfcD%6jbBVTM#x&2?(sXiDSA)2A{Y z^W(>#m)W!GlJS(n;9El|f87yY$80d%^&VgAj=0H`N=-Ekbi4B@8Hlg+gwjz4|J9Q-YEEEkBmx5Q>et}`=x z5`9dcaum$#j*J8KNs&^XSx?o_sblx?kE@|Wqwsd2qUZM+r%Ww9S{UA}rJ+Zj4tpOH zlC`DFE(~u{`rdE9dw0&VgT~e&lK0)ZY45Lr``Wo_Cx;#Jg!ChGxs~_k^kg_A_@Chw z(0lI$=IMCFd{BYy1Yh_{L9R)7`Si=)txUVEDe~?(`C-u0k2L);n3|cTJMqduAzyGe zB8~Ij({)F5y%F8(i&jrpIgqUgF)DcLy5o_`ZdK43CG8XfgLWfRRQ)m4cs?6fpdE&6 zF-)6C94I6^*q`-Q`2Z@q!H}&mxS8S{d#xmZEH4;$y#Hli1w_tuXEgm0&G4E5(VY`b z1+pg{ayqMi3YeYin^j9s9SMnQFBDul7-7Zm~M(_JP>um8=`G`Jf*UDtB$%))~}yjo+h&?2}Wd-QO5E4l=OIa zCIx3Z?rdPGk0vC2O%i;*x-hvicG-9OWt!nWoO9|DPo4X&(E%shWFHixhU0FH6WM#W z>oUp8>L>jS3QFG%S4CsO<8<{m@}SR2i+}g&`JjpV3(FFZY5Lb>mNz7?P=(4bRADFS z#dd8RB6<0&x2gd8^+bbFhD?7xt@G8E?QaVv-?X2}m}F>;4yQTE6_oP)$RxysLDgGd zuo!Q)z5oOEM57VW8GqmpAow8@{#%LEubf;V@8*d}bE8>XLFYabMz8NdV?t zk+ih9316Bp)j6Ez=|yq_E0^tI5d$wuj6eA89zJyp4=N6(8Yxn|d(9yS5i=rX+#2cW zC3w{Z5OHVf%sj@!bR4Cc4`_p!Nd^9t)ijf5f2J1(C*a70k~hjHqw=5V)?C7JJ?C@e zO^83$k|e?^u$P)Cxp`B}TEjPurXAAk=oUQD2?WA@g7oTm0*8)+4OZiXHmpDbd2VXn zm2sYOqFhmW@GBi(l+ISgWrr(klxVEui3P zhhTgZE>sesKZ3~puJn@y#9UY1?97pKC$rw}bHSKc zRb7iu-n1l;X8W$BO+RA>w}-@6UstudnVhz8!_)HuFY`FgrUfWwSTwp>#x4F>>ERW2 zF=Spd-(n+Hc*{uLC4Amw1l6x_d4IjF1p%yXws7Kho`iT~1aMKyly9AF~uby z(S<6XoR~-hWnGpXT|(o-(Y(0a_EOHfDJMsD(UW8H3ls}Dt)r%?AA>Ih=lX^3<*Za! z{5}!VR6(M;jeG1!x$9K(eMT3JZ;OW4A$Wu~Qw5oocUWC+#9;s);mQc8!p!E=LTL6n zY!-BNL5EWOI#bg-bjK&Cm@4Sb3d%O}^_L$1R38QUBmeqQs6Ps>A4OOXrTO=t#JW&) z{V1WggDiaik!R~t$@L@d^nQutlV8CiQ0}!Vgi_~=We!vk8pjMWyEhJuz&4Kp;nuVS zI(6*_aGuh>xi7{Hn2fY?IlgK2>~oyr&Bvcr;$d6~syYi9guWhA_QMfnc@a`lBhinU zQ;IdsrmsvM?-xeyO-MQKefJ>=XYrMTexo)^Ra}ltFh<*pA@=!Wu46$VT@8Om(j&Qk<;Gk zjJ;o()6hM&-aPqW;Z+ALxc}gJvtb7_xuY^GH0S)t$15w#%gw$5hsm>P?@Zk26(7+K zoQK4p(T+z8-!-!-n53#2x~^(!E*Oy~>fZxo-?RbG`5e|#(@`@+b3Y;B1CBn;r*85& z#PkG=sRi*ZqmGWuH#7gVi|_5|!M_=}{rLlz+;>|TA+9?fbvTxEG?G&j2IHa6Vp6MY zDiD-eUf*o_D^Wjri08d@Mmy^5qaR4hng`B&Mw8E-A@N4Zc-Dx!oLyz6) z!JW%n_w$&;`2M?ha=#}28N+X;N~n_3?L)p9e$(HmM}T!*omJ8yW0z%g^r8PVChaZ> z?yY@#CJLCeXiqZ*8lprC-j4 zF49mi?&9#?BHjs|zel4!ngQnl zPOoWw1?6ze3OW+euM|~0RB`TMtr9<_nv6~*x1gI-)~ZgqjvYBOqHC1{Qc@l|$wS06 z4$NAZ)`d#p^#HvMUBwWea^4{J)8$2BXwRps>ZUy$&Cm5i=K)9iT@-`jw$O7Q5an%3 z?00^s9d&yD9AOB_{oY@hu2Z@QwHITZuLM|O!;A>#FMnE{7<7K9p4Pc4jH7c8f!CKy z__XuOpQb30tzjTO9xAApyZo2GXAPhB^_qHZ9$|OV{Dw|o8+>v;((PeaXDbW((_>1% zGE}UyCz8;UOO z4<}`tiZ9Ey&Nn$d?xVoqp!gh?72T;~ z4o8fZe>Ujop~4CKByHTT-|%H_`Ru^A-{h;T%rRuNSjmhR)q!<~Z-$^z#iebkAa{wDMz%CjJ|pb z4rX80vFX|PjD@fHHR~N~^j3IHf2i7_=h0KnH$~e30nLfeMcSgy0Zl$~r_4FD>%WpM zls#3CW>;{+;yAF4fA5FHQfLGb*Xm;qmDtzUBkqIm;ZVAZwyop*#Xri+``-1asle9h zrK;F%$SJSWtfLk+CK4Hhn)K}}5$THnWi@=w z;rXY7;Vk76$JmZ*A`xeqK+|ShusrA-haMc6l%CEP!v#yQTv>KYcYvXQx;0e&dja(- z8$RQV{lXGMuo;t~K5H|Ag&~B;kAJ$$O8P?#6NwY3+A*u=BzsC6ERm_xVoTR*28Hs0 zZ&(IrJa|F;i*?0BF+;wqm~Hq_NI+@VG^{+yoEu%4AzCD{=jG`pznJOM=8|19?t$+} z3M=uHsXI@OWJL<+jySKar0N`}k?|KPoGZ)(LqN(6IctUf)Wf8lVbbvdf)@WUFUxcq zJ{y?CU1J0+{p80z@g_Y97Ac@EgGG}281{U8{s%(7wF3Hvh{AJ#5}L|q(5?i3ijY(aFo?SedYA|<1tR1a0p<)!GfDLy z{Y&4|%8q2imTbW4w>}v#(cd@ucKb@cVErdcjk4iF3$=ci`Q;rLu3?DZ9nZ%1&<@j% ze*3GB|GoI-@P5kU*SxL_pd#V-Bs7{cA2%>OUM2D)=%&nJ7323XF?L1Otut|Pb|g%d z0dBmN^)MCLYIQd0Z)=5?hyNJcgniDw1ctuR$m_h>OR`{rluGzhk{SQsgt-#^zS&FW zcXi#x&|FKLu#GTgV4m#kRodjDZh-x2G7q+1Xr0%4tLgUiIHI|2szXhMB+sVz3W>SpKexQ#M=;h|=^1RP^o{tBZ zsCk99@Q8C7RWIF6c5u$QVX)oHwLMc{1{9I4b%ebL+3=OgBuK;Z{N3*jn{syH>7dlz z@!nz#H~-aOX3*DbLNjjntvUPXyw;zXcO-d_jjWRhL4Cx?$+=~px)lAB03?s$U~b4z zF7N^IykWukI1=ytdqYz6F(bpCo@fM8ldN%$CwR&r5J**C?ZQG!%sZHLP~0J^?&+qG zGpr{)GT4BakL|O%Zqtnls5R<45~FIz4>0gxy@ny^IQNhxl>0kI*B2G)7NedsFxz2N z7OFE)56wFdq2##qX$1%O#HjT?~DJprh?rnQ5!k7#$89J_-#!e z@g=%3V}SWVyU%OMDA6>~mOo5-C%xKWgPFE4Tk3@^ zCS;)GAF`p%Yf&byl|@9)+dVaFFv5;;D+FRRVWL9T@&R(A^TNm{8%CqSPGz8up}g_< zLR#%pJ{Pa|>8fg>HH9-wr$1j-ZWn%R?^ddgz zO?q(KU;FyC7tjBsd&I{-s&YQ$vfZz{jG<5cZi1CHo1vcP=)@VbhQ@ugY!%!%eL@p?ymFRz-hf zY+yPY2H-7p%yd-=D2KrUeNPPA*jAPUa%>TslEG9=KWc*5b zp$)GSXk*VyHq2l)ByJlEgekR<&z!K4p_re*cMaV)=}6h9yoGYU8+v=HdD-!m`B=}R zI7Srd;qO=hFNn{4lG|q`G~xMx2^CGJySn15Q8S6)7!iv>3_?WQ_4z<+9=kR#FFHLa zeKcU?A98jCyKc7C3mW+DSu#OQadTG(CDdkC(LS;A=-EIe!bv|#(Y5tJz z%V~JWh?Wal;-r%mW^>uhMz*k)lh}?CArFKidhPHTm8si~mrpb9Rf5ch=z|)a!>-G< zsX(Ymdy8}p$q5-hVccnS$cS11YI0+DM;!m1sOAip@Y})3@4l zWx_%{o3x{aRo315P*oIvC9lrOi>)MNINY%EB!Xl_9UDVj#;oe{Z&1{ctUL2&%{O#5m=dSAVqob=o)xD4LR{+8 zWTD5u4}Ng&ln!?KehQ`IviggG_Wv>`n_SgwH)kI%%96#z&WEB1;2vCbJ0|P(nO{l=+ZS$vcdcGQ}(i;F#qx$~f@Wv$Xdvkz;g?kNTA z6904}pvFREGLsi`$|)|6Hq4>tTHCJR&T3O8FKwI4i}FJhVQ)$WI|K9OF=#N|@QJyV zoH=Qs(z4Kz&9{Fqd&EXO7UOy< zU53t~t11V)-Y@9as6DX=V`hG^o~kwb0bA|VFT#q^eyXwzFtCm-6L|jer;-f*F~F+NEvb3>_)Xmw)zims#(n5>Q;aA<)D<7U`Q`7Y=7DfCg;D^hZ<xpko-(HF-DM00721yVTtT}=|L+)E%@w6Li^i{hUGlZ|IzG7>&TUm}AcT_Ro2Nni?C}-t>q0_)XayKK`Rw ze^+UV|LNL#r$lt)Dooys8?d~nI-f}>6E;XW8Cl3DcXL~R{Ifkhw4_r-clh|tx8Gp$pT7McYKY4bdkn_aFuN3=9z)Vk z&1L;;)KD@@W|o>Xy`{-Kt^qmSK)`{=8CGrl+yC6VcUL=dY-%bLBwCv--C!;gYjZF* z#muyL6A#f~Nbs?x68_W~q!xs6(=m3lg&g9x##yqeS$O1H3=K~(^di0?OLz}9Jq~nB zu}gEf$gUn&*1>*#ZP)Tbudj^(mRTwyijQN^5yxGSXd#L)=6rT1R6NU1lAa2INsnZI zm2c}QZ}RrVv5Y)gNeBm+H*`lL$%{>YBnsHU8|g4|Bkt*_ zersMMK^O-k|4diFR6Qr?$wh?U#$h8r&a$;AFZcOTy*N+k9;uBGWi4-Rs6y*=ot|ne zK3`P(H;tJx2vMbfnl3?I63dHVQL{Jz(u?^%*3(NM6bMGvO03&*hi)h^PR8vi5b8%Q zq`WG>$O};6rc{`g(H&M1;&KDchD@d2iNFz<=hs;DhM;5lzCRFjandv`%{t21r=9`31y z6KX`fD^AdiG;h8<(nVqsEa)q-1X@&%Q*}mVIzlH}pp#hfwNp5vT0Y$p@@?Oh?W^Q) zEZmTzz2Obq1v5d;1EQwC$f1j5z@(#I5p3sps%l9SfF~ zbgghi)3erH+snfFyzT0Ap9-31CCQi;sF7ud?G0n0%xG}e$CUtGyf$y~4J}`}n`&AF z5P?y3sk&Eq;+9BYd5XyQf9u^ldfs4~ReY#5T+GsUDTlIHRIPcJ5#`JgkfG#yc7|3{ znYjQ@9`G+!K>@wF-p>tCN%S*^c9p#M1Taa!;Bo8(4EocLTWMSVlj;f&)pA1>a0t*i-*WDlvZ{c-Kf3RN1`!H$RJz$F$|

      `x_*4u(jM%QEhi}eIyJ@E{EDC0k&)75w(2W6;VZS6Y#<34Jjq&hwPt?RR9kR8 ze$u3-t!om}K5`jj*;bnk51PknWhw3HrE2C+Mop7IU^60V%!o5GQhbPCNyR$$AAQ3mYVZ zv5Unq#bt~hgJjE;{$IOn_?uss?EFi51}g zc$w=F{5=Y;1tVU#F-F?5B|~Ij6FQ6+NhpXZ2}70Yl4r?4kQdEP6vnO<$C{wyIV!28 zD>vGb>e6a?BjvhbNY}~8WvpE2spOT6j*hekX$zerjBQj41Tf$Bttc{dh_)5?t@5A^ zW3(OnLbQzoLW6)lx8&mDkparA44E$R0l1J5&;Mr+Sr7-E5;>N9Orn<1sghXf!1zaid z^BOddFW0L4-yC)beS$T(gbMUKZe2N7Nb=l}z7JTQ?Z3yN4m>kL!7JPPMVu>%TMD3R=X?6g63oU?r zK=)x{Dp+w(IvJJa!R%U*EjyKri!H(b=`J$`_|Od>-Jm}+8m8X}jwW=2vHU)I;T!+a z5A-T1a1I5k1;N>E(={(#sXd+=vH;*1e-K51pPwY z#DZY9-I_W}x*E)4PlE7$kT7LK5);@w@ihSlMvtK5q-O%#yhy>tWWIMKcSYbz7XnSe z1}6~nrcbK9-e*sBRb=f;bAp-mn1LZkgibh2YkvWnWuK-Jc<()xRmB%7kzx=`2#mO# z{sB$8p_}ig2zgLYBc@{T9U-LI6%$kIob!*BfYyJ44CXgv!i*@8`PB?dggh?L+Xm$Y z-d>-ewuEJmp`rZ4$+9f^1KiJb84M z_k!v}WxiBtrD_S_O60w@n&YRco^;7)K}MB_rU!3kV~?o;-h{yO2fuNc+m&yR#~lJ{ z`)@bAfBmi@wX;agPX^WM5ZGx{@@K}ya$Pco&#YpRzguYRETH()fw6t0>O8FX4PmX< zFjXBAdr0f$KxCpKD!N?nGQO7z#_d^Q%0l%C6W^I&5$l)# za0xp2tl`xYrXzJ>v|T-=`bx{V+&wCH;D&BALKSxGzTOojdR-L)O6#e&g3xxoF@&&O zxk!~I3}H`SK?Y$2@p6R?cKyEA99-AasQfr3f_MZE>^ZN@p6;6$I9_DL*L$5;`gT@1 zP@!hpao~<|f1ROkOYq|w-IZhV1COp=qiZDRrBOK=t~PLdDgt9L;NYbxZxs$O4z?h$ zJ%Rll?u~-iyQrFj)*JgUBF9+2+T|r&Mxu5Vc(fn*bdnh3`3}6hoa#UUvd6N{vGHI2 z&bxOhv_^?{TJsgOhSGMi)^fUw5d*QZX7pBzS+dTVU{ioe4L1(W6^^tPNAz}^(Q9C1 zw&|t78S`Y`t?$tbKZd30CzfZ2^p@Uq&^dl&KGFr`OsD*eCDVK5i2V~2>Ywk%=IK!( z8XQ^nXznXwsiWZeUM@6HkY-Qh&6+RFGkrERMF>w6gl+E8B_0#7*`A zj|?{V9kYFuC6bV2wEbuj!6egd4@DU-X&(1yaOmmOu;9)-UKFA{N4~jN*;RgG(uBkc z6Dl0i4JA(ueaTaDKtD$@M-JoP4Se(PD84B#7;QhdGpvNRVt0c!1=6(%6x;mfiWH@@RAP5pBEp}9NB z=rdWwI;BTF6!^YrhfTX+JNvpY;5p`9#^6SMR0a7A3xx#V?pO|kuPL3{W|&Kl1w9rF zIhQ@fr6uAN#W16>c}7cAGjN}R`r3HEJ|1y_H)eg=sL(tHx-+OS8!?E_`3Vfq$5K9; zM8c7duEDLfW>7to1hfWCdQ7nv>o#?7r^pN(BRqI zVzfKYqaI*2=R5h_^y{VflFPjW;~jehJ%BpeWZWScOy_lj^OZM#x(|8^3@?gIsDxcv zSL|#}dh2w(uTJS`J3FN8@LC`-n}TCItDUmmQY9$O^W`v_GtDhrh%wXs$Xu-+`JlMl zHP_*3287*g?vBhDUCLsd5A?*j@<9}!9I-fYfM=wV3iqGQsy^n#B)-mXOqPlHG~t_1 zkEZhY#+uPdAA41AE8!WB)8O%8JTM=5^LAEy73w4XuCnU}bU7%GmxqbDI-8e{dB`xL z!sMM;JE9qqW=J$mceY?)?_FL9e~-%d%LcQ~TtAvBcQ>}{=25?(>pl!DWs9g^t-VdZ65YE_GG;t zOLELvWFLC5Gc&;*xC%mtyh~?Wh=Y1(wrBeFVQ6b}S5=#_d`nm|2@EH2C{$EdKy=|z z!j02%)LSjGIlaX}VxMIaYVo5V31Kc6QAWMQ+^;ZMPi#70(N}AiwnNLq^n(-6Ywi^K ztLM`ED%0Gfw%BMhLd_^Js~E+aPb)v7aA4A}U3#+*=ma}iF382|oL>*Do(Y}Mo{Z?6 za@inc4*5uMszZY@$4pNLDbzBj0f)xx;Nt79+hg*sLV=y&C1LEFF#c9WSF-Tglte9O zfyNqkgO;@pnCGz8F#BX%5w`1Vk6lVIXu9e5r_jdg)>Lj9+NKXO7cVR0jl~>mQ*}F2 z`<+^$C-@b;0kXx9yqAn4P1%H>F388{Ng6UA`>kj&# z+?#q<90@=xEf8kpkZ8*@7H7Akx!_4(czsJ%1?@NrcAa9BcofWZDVMx3&j=dKGEoAJ zS~)wf((bsg&>Po;!dvLc*U*#cFDeHTJ%KTpNHBI~xO5Pv2T^X~ z2QlAdR_M7F_=nzPvj=;na;@)%?R+0H5gfs+Nt}6ZWJn`4koPkwYg?C3m_cE_GJ7@SHwt( zM&Ar+yF%Y}M<%8=kw9fR&5-1WaV1fDO;{}E#JhIMcEs|$ns)=Sg^W#@V&(WbpJLAe zBSlv#!@zDc1SR5mc!B)Lu9;h47-3J0OjGAmgNjs^l)-Y)9f@Os8oJt#?#n$72$I<`x1Zq4`Fnk_(C#=tsmoxl>0(KOA-z-+euQj3V zwMqZDbSq+IlWl2PT2MyDBmzr;O?wC9B4$WGRLSVbE1jSq7}91yiaA#%N#mNE%}2AdY}u)$1nj* zg1AvohO4Z+5TLJLDe*&x)H-#mB41nChGWJks$A$+MRlw?=$30J6O*E(%UnOlJQD!h z+fJ4jx*6<9rcKw?Q6LKrgyreSIUJC*k%ul#SLT{LNOIzeYh+sMix6mEIMUFYw=7Ts z9y(+=CWX)BmSx@;g#$RU!O^-hdioK!BlcuAeznEC8&UPesGs(Q!B7%U~?B%7qL1!;~ zcADP(31$rg6qkP!|PsDK3* zWQXJ7sb5_^jq9}7(X(?~i0?&vYR2mTy;iC4&GUs@Kn65n)(xbSN}NdMKj&EN-f4#D za_eg73G`^uuXFQ~LLTGroiFLClIww0-BH`>wkh$1u!UL}@jTj|MvED{%Kj)TboC`U zQ`MAwSguo%(WPbESc7yqW=F=oz2zK$5#3h#6PB#&uoTsZrnG;9)z$q(tGB-_Lbsyw;l0ktGz?tw(*QlA+ zhYcYr&U3c;y32?r1Yx&fG903TXSIG_-KHHgsa>T@95Vh<#jY(V1A}bo4~1h|96$cd z%(qwha_%3vm2=Oo&j?pDu#LV}Fp5Q4qGfPA;UK+!Xnr9txQ+TrZ!}egZguPZM$~D^ zthUZhiU`GSxigeoGEGf-y<5JUSb@y|8y7ZV@Zec0q&i3*#1n^?B>c~_=>*4T2Zmt8 z;QoMaung~jfvd{;x-3PVAEP`$%{<$WtdM2JKPQSF0_}?Dif<3EFkw&y5wXi`moBc3 zeCN{RO*7VUp7YYG6;C)6LT*#7 zR=SmN)QZ#RkHdPMDmvUw8u4aRKP$XA`Sj;PgM)f7p8Xl8T+6B6+7BV-1jqRbtf<-0 zOCJ28yK+lo9trBdBeLl0)W=1ayBb=LW;=R1yCGOqbW9$o=5k@u^S&uzbOMH0%dNKX zx(7}%r(_ksLxK(iiL8pwqB!`9?3RJ%3_mWqJdhX~V?oDM`q;~1H64jPTgPc(p&7)| zaY~?ufrm00-x+l}QMp~A8AFNK&wK67rhi(t7nlwg7=~rjzb|QNnGDjBK_d)+UJ+32 z86A0^$uwui__NZB6NE#lGS}udr#>*7?U_ipmQx}!WS?QK(2rQlGuIpS*X<1qnh-F= zW-~wArqi-&;=PA}LY`oc=|MLEZVA3H9>4$Y9q%tJ?OjhuqEeXh6&&H$Ac$90*)_&r z14$J-B^Qd@wcOScJUJ39R14~?=UR!et}n+6O>$L)zPf=8{Q^os2z|q|B7=a~m%e~w zK?6y6fgD;;Q-i>YG3({((x)OC+KMbMByd|~`HoyE8->_|bVAaFh@0g3P%9FL_v8G} zpyw-;uMHG%#zXYf_{1EuG=>n1G21U*C7p@g}{DzDdjhOcL%Vvgkp zD1x~NJ#kPrPT5hS*hhsx0O}|ULgt3Vp>8khn)pK3G8lswSOI#4VL*LzjWWB)73(lx z46DS11)#@UcZ}3H=7q?hy*PPYOY-3tN?Ss|5C$=L#s$i(zGZ_=3_I!~uOUPtGta~+ zqpLc8(q^+%AcvtI1HjCu8`WMOeZEo%Z`4eGml4jfQ4q9&j)7%$Qz4AUB_F#Y?-&?` zy>Uxhd%SSw1JsDD)^Uv;apVfv6vaY!1W9sKmX@I&ufm7cA$8&q<3Y#%UEYSbzHf+B zEOWZPbhljzbyql}zCz$`{lw5w&?mw3xUEFJnw=qDQQ#ZNZ;hPQ1?5UY9EO!pP}+c8-n7d#VRc?$|aFG1?i?I!6ppN@FesdGgDkjQ$Op^^9R|UB5uE(xV)RlWjlYR ztAEyGRx~%{Ro~-RsJn`K7~6gH0H~|3uXE)ay{72RZfM6sJ9sl~Mlpc4FOmE>sCVWi zCt_YcMVYsQPxjf-GvX_{vCs|FRXs$|9={2c+#xG3l?J~SM_kwTg?RGm>GsuhGpYl` z<>AeO8NdYGW&=Ysy`(6A+E)r@+QunlGU3rQV$)(KIHkYwdC;<4*VfWnTZ2UU?r$G#a7-jtWfC2nmb&f ztGGi_!yU~s-4#Rbxa*p|jh-X)LVZww^=kziYampdJWy!Abact|!;hWz#_5rip zBg`vTC*=d6b06#14XA#+ZqA_G@6%!{d5H-CS3s!07!|0PzQ9n%c<+`d5KKcM>LOs& z$Pilz`mbD~O$oUw>d!Xx*`T7mreE8`Ib3aiFUBMD&ohPrBJu z_;^IU|C&DO^wyx*CfFdOj`_VUF@(PHuQGSnaMY-zrz*5j0vBybgvujSa#lA5m~Ipc zYW@HJu`%qR(qvWy%dPpJS6dGMGjy_g`6|_4I{b-cIlNjZ9wtRrPW7L z0i`Ku3g)6#P&mFI$%OLLm7ns7G0pDx8~MvnCBW+K-?Uh@1 zjXV3-`;not=xF~^{T;fQs=39i9wDFd$u~|vwY>4qOqHOMRW7Aj0*C)FB%*lT3%=klj{;Qt~CP-lyQB=o< zO1ds04`vfr^RMj_LqMOJYs~7nXSQ(h=yyX@{!FgFNkuq#1qX;9#&XZ+8fit19* z)JY;+Uj`0ANfjThbd=TbVIS9IKE)E06*-?>E%}UU$xXFMAQfZ2@c-t?32pi1iCL{x zd>0N_!7Z5-S`DR~7fZ$V8w!Q?dRod`E|m?XbRZbaNi4uc57m?ie~q&uIV~hWuJs~& z7`Scxo$tSUx2n!!4{Y;YSA#>&xq9yYF@Y@kQpZ=pdyB!{+Gm5p_ z@U*H0SQ}e>#Ruf7CE!2bZL6atjxV+=>W}RiN)KXY%6lt)G*>xaH_1SvX`ZT@xA*z8 zVDnp2&G!1bp@7Wjx@MW}>vX8O>FQM~Y2C)HjcYV2&~Bu2&02Gu+tx71$xUpx?pw5Y3ra)9bLTj}2 zljhjHr-#(u?4a7rbjselLHk3BK7JtV=K65q4GHVP63pjU5=!$L*J8T6nu#u@grRRz z7ma+rMGHjlcwu5B3hpxhazZ3KdSUVY1Rm^x#jzIgv zF!Uri)>F>J6nSc_q~g~dq4Srgd`v(&WqL!v5bgSWmzIXY_)>1~ODn*$>pDDP)ySfL zT~>L6+9i`Loah_8xPIcTEf)%13-kFYEx^6T`upD{+E4izdhudhoQNG}*>L@667HwN z=}@hA+*(WWVjjoJCJL>H5uDyFFufPQ;IHXL3LegtyAyu~L62%vf4wsU*;Mzay9YCn z`BC4Lf1r*hWO3IY2l;s~l@|w6Iyc9W9gKtg>{lmEJd5cW9(!X~%5ZrY$~fiind94& z0KcJMw=R>?hOK96;vD(v!gzYZR8a2NC(`e$jU5>BTA1#vZVw{0qW><~Y$w^a1m{++ z@rJuQ1v)WiwPBWrVQU|xA4}NdNOL782$m)*tc#g`jUfg-s8DzC^{Egfg49-cj91yT(CsWT_6`)fp251S9T5;$k|Ke z;#+bq$OR75?+xUl+o`h`r_R4!2!}Vqu`}8V@hvsyP0Q-M_amq^ao`(Y(({4LB$%aC z;KcV;q4p>S+f(Apr+RG0DCx(dIEfSt<9zF=f6QAd(QNlij46cCIFV`}WZbROh7Otw zWE_9dCD^e=B;L4}&p%k8=sLaI*19^cs!O9(PmFCr_@qbrDyk_S(})+{wR%`{Jf@oIhmu+`Kc&}68@%sbStYIUnv$EiYW19Xws=^g zLlk9urj-Qcue-D$M$;`VURtMoF5#oE@*{S%d->Iob=9q5OVbO>>U|>~drv1JcNM2E zbS+S@oNr=|f!M9@yT|DxjQWyqJ+@F)lw#zTf+emNWR%Np&KP~X{L+5dW}EE8jDow! z-s;qQ+q_@F6YUunNnbpFA%1(`sar{NPvrd?5iPSoKA2lTij}LTcB7Z$*W=?v)tdL85;9j>l$Ir( zbG5gnB^pfNzG<%egc)9+%b3pQ^Z-=W6;=QS+cOM}(UCv(ggx!6tjs?wP+VXGb+r$h zscP@v)W2(TiDglt=q+?|aSu|z?-<=cYu)@%AupYW=lkz7!c5~J+N zgv@4YdA@w2=}6WaCzOvA9f7!uxu@yTq$ zea@h+XzFewg=4v219SVTC+M4R2na;hm)>;DyJ`^o=)0DuzzZEKim$ie5E|g6 zBTXa-0v5MISDY+dKKG;JG0V>^PYJu0gH_eQkBHZPzRx8K*?XPiS0QU3z(!Is^5kkT zl5s{VX3*%hMuwjI-~qi?rM1m3hhQiQ>+bv31P1lO(t#~n_y?nB(hv1C`8Ab-N5ftV-kuh6{d3vj1^Y=6}l>>?4 zJTzI$Rkl7TAJMjx3z(a7eCUK~KU`6^I69kEew19A9z6OJ6ybv;- zN>yq7)j$5vfAzP2#_}V;^Ke?lt2b8l;j+tk!-hfbA@Xy{F!`7N@PGQN|L*sH^$-5& zSO4H=v};B*qA3lZ*@tid5K)eaM-NQ=2wEhXXVyRa)4%;!fAWWa`3L{?uYU23HOk;A zug()f0n?x{xq(bI43pf1h5MJk|I=Un;%DYx{`Bwu>JNVJpZ#ZlZ24mv&TJ0;F*AlR4^JuhH)}#!zp<{%3`uKA`A^ZQwfBd)jF!+_3#3*x0o2Fvk-{Z%hvx$mc zv_oqrrnd}xlDDTY%5)g-i{=fu-Jd`z0ZvNXbj~NG#DmM?=?(aM?4)cNFbtnAY%jbUU7LEm_~)* z6Q~yj2(6gmM84r#MYqWg<}=ed9mIc2#fI}z(}!*0@`}7oOBEgbRIIZ@Pw0f1B_ntc zf(b9gpZYjeSO^D5>-DHfTM%<2V&2s-poknsXQ*p|MEql;$Ov_eAq>OS$6v@pNH}hd ze#^cQfp4K!n49X`Z&a7!Q6V>=hHO9sz}994sB5ukT#UFB!~uBv_=`4smaezmF&%Y_ zs2@ZD=Pfq04@}j8z(zfwh(;Foi8B8G{x;S_kh}SiOWq%XHRSbpv?rGw|OO6Vt% zy&6fdMtA|9R0pO_=e?QrbxKUqTAYrq*A52Vwda=v7shcYB#>$g+o+++tUZ#tW{oq}vQ~NVkA>pWPO= z*=f&LvouRbE$Ar$fn8PVw?)(rm+#Z)pdv}ciO5R;b6x_=a*U?Nqser;j-Aqa`dEd9 zH4%9E#oNE500wL;Nu@BF&Jh!!a)YF1-gH1k?iS{m5`?}G5E4`~Z|<2jnvUi|Sc!~LA{VfqzToOF-9f6L4#+$xDCcH8 zLuz3Sg%5PooPhk;yopdA1Ghw1Rfxy4LCGO1(Z3$V-f2T#l&~b*6M&s8QoYOnG!MX^D0yQV= zoHMCAI78ss$8}?O5eKuTZ@^|qIXSJ*^6VueWgB`kZoYF4r`# z`URfdj3lo1_Lh0`W!f=-{WZ}?P(yF=8ASth?z#n$(l3N!Cni>~7dH==p6^|IEK`vW z+dy|3XMdF*RJ4miAJOZXc8v;;yk&%c`TOtQspJd9(vvsXtXbFjX_Eee{pz?`QSG7} zo65>`T$|uK;#kh)r}?I0cx6rpYMgKsN=Is(;vkC?gt7535F|&-3G;)ks^U;gxp!|N zvCUL$-$LgraT3pFOI{Q^&>p(ojv1xH1zK=L2ONl~N zb$vT}OWnRnUCoaKV|}PL%robfT1mFpXdu(JStZa7ZFfu{FPTSH!Ze$-sH){o2Z`}7 z{NUZYW)EA3sl1-V?Sr?++BIC>Q2Re5>dDCJ%`=uTKQJ>5lu8P)J0@Z@@2&HCtE^sO z{f#7B?!$N9^bzlm35K(V?t}9NgmG4ba0T&_<%CYXdIB?~NYZ^UYtv_ZY7pw6-dETo zcV^eTK)%Tfimw||Z~WYl^ICEquIjv$U`7H7E;mLY`JCMnedFf_&kq7DmE|y`^O~7- zYk5Kys67Iq8bs#EX{Kx`AM>h1`SstU*2(COVk4PS6oY){M z?ilD*F7?q@01!q=Kwicm5Q0@ghw1P?EgJ|hLumY`zcuz!QJw?JlYjssb+!_OD)m>7 znAm%%Eq|zIqm_zmC5npkzszkqtOHKKoF*IK{7mS(n* zPw}Pq=Jvu@nhSJu;rLowTwvwBiZdw=Gw#crGhaANtR$o-u2#mJQy~+uD2`xOzw33i zt<_LrP!)XVygVxVww)J;73$XF@#VN^=_ygz@`{^JdAq*cpf_zW{#1J|(+6JLORNfd zARk0k3X^lsmA3oBzPNMTdy6t;Lr?m&UR6!Hyjg;Ky^u!9i_Lp8A;f0Hzoe?Wqv`m5nrjMQa_^ zw?~39cs74u$tU#umwi<5|<$8hTLl(@lZNp=~zmK zy0nAkx`3g0HPe$%`U(MWxX=Suh;#*4{0#&coo`E0gWE&baM+G5HDX;u44D)wh~LjwDi3HMr=$EPALH z{htyySv@83r5G$agqzF567j^yR(%<V*3c-#gM3`HFBryV*{KgH){)G!KL0bA*5Y3Muq&LkRsHa2pBV+t9)EQ`(w}| z-&DuGWLg({GY}B1YthH_B)2XF>|5B-u&Y$z%Ln@15+43AE`I5D6|a-?)T-N+6(nxB z(C`2*T3;IK*!&IBHTK74d7)Rfba<)PsfD?U$KPs4n+yuO1zQYb^b=_+>8lSuDy;r= z!choTm=u|yF$|Ni!BJy7s@$6RGHUr(#~nu8Pip9zF=5J*#5Mjm=(O89`?|}@^@Ue1 zMU(GJ$q}@%dVbfgUPTU(PZ))4C3YwN#lp5m96vbLVP9RY*m`^}kUf#_U`p`z0~Tf_ zg{pdI(KI1AUH+7@c4B?l7x-FgnJvzouE@Q)OyO*Fw8$W&PNQ6Hqy< z%0d%i7B6P(6NVxRhk4r>l!g(F%8B#fp$lb2TRN+=%H${J_Bd3Q+f|(deA*GIMl$~& zac|Qj%a&yc-O8-$Rv8kgXD~C#bn`~2-t)BYkCZ?l1cDh881w|p-OSxB+}zBcnOns5 zKw{EJ@B@$#YJv1rYC)<rgcil?|gVzKU>d<2TS202&$aKd5H%((2{MeV1;~y>kJ+9u?#ueEG4Z3z~ol zzdAOUB$2_<=sdghJoP-iu_WLPOa-PTw&J16KU?%`R9_|XkJD>^Iq#3?OENC|cHbR% z5$`!SIwKs5jtO+64gX5H`^RcZvK*1L+m48XdPJ$;UhM<@8s74*ixRpkXf#is4=y3y z)6{&*Q(?MRZK1#QHR2n)`Vr;$H-AQE!!lQHt&DJcWDwXm8>(GLR6Ch!)!Eu-=SPdj z)~SGm*K!hUPy#)&|Q#{Ab>oTb}e7SQtxzxqW{UtkGw}9@q4s z*_kNFds9AiP&ey$zn&GR=H-w7;=j1gg6B|+m&dw`v*4xf-kncL09a85ayA4Mq~A5A z`#Y!f-koya=C1$lxBugxfB0~$iAAW{n_HeN_g_Y>Vt4Ay@muK%YY~)64lXQk^c6bR z^j{Vv@tGzq4l7zBJx-1ETp!Kn(6+6%TtA=8yN!Ks;$s7SX62f@{j(^!NBj*O*F3DP z>-$GFNn)&?#**|7S~MW)q3JRb5jfW0)f__(lX;UxzI-x>E2Wv za*RVRi@d|;#AELvFQQhfpr10|%k?@GoHf3Zb_bfyT~$~4y){JBn=mBm^L{AKQGirh zUMz)VkE$rg0@*krcZJFoj?=!Fa zFLdFgXOVjP!25k+nGDuq%u+B#?CDCThquS;kDz1X5}P)BP?OMxlLU6 z-9FjE58-Lx4viAuON?NeC>ip)cH1c_Qz{lDUOWv0kNQ-%DP1%TP?Rv5HeT||zEUw? z1!_jvmFNXGxD-dPRBIqUih?k3XMx>bpX3(5u7r^hAw6KK32m!p%1y$X)UvKdZ&Urn zILsm4P{Nxr^bQ%WqR=I0)##h-zuoS!>aZ~JBjK?c6UJk6ECT#BWl|K_Q9@Fy@gnK9 zL8w6sA}fe&@?}jgEQUdND{fQK*kWKrjzb#T=>^0v40}2V;$27@xf`&;IE)+}pgLIy!Fe-#`Z$uv6Tf{$ZbyjSqyou^oCAec$wt7p-`Ek>du_=9|gzizlM+WHF2b^KPB0 z*syMwtD*@;qLpqoYDqvt3BrJ$y7>LNB>h@*tnts-^uruu9T=9VR&Vr^?D@f1L7v1d zr8bX3f2zaECsKL1hCZM}-NpPw60(g7%$I5FO)6aFo7X$ECInPZTcToWEkEoFC@`A3 z*;KskynIir+j%xq5rXb?ST(j|B>-K1VwTUe}%qKoN$nAAX4i-Esb zu<*)a7~>7XM4V^KpWr&kh#}zofYTRDs;V9?>M4;XrjE6n2{W}$$IUAPdpYfX@%u_!7C3(FV_7E=ZqUgE!%^s|VRFk6 z2VwCFE-`fWR|g-Dgh)x(gbyf-HH~(&KRv*kkI*P#UHKY3sX66|s0es$H1@|@yB z=J4uUQ%MT>Kj1ozZEsQpX$LkVOZ@ST_on?6DOGnsE%{PwAQ@W(e=s_}GV!9X2$^K| zq0+N9(d7&H-`j6O8l|cWIJG&?-s@XNON^x0Z@xK^IFC1eW6s3G5b;%`BqXZMRk~hq ztUAY)Avko(TXH!My-3<2{Am2^KkMWEzDS&V14h%aG<{YdVACTnE__6$F?e)yB$ZVQ ztNo2MVnL`d5PCad#U;Q%Es+-*s&UCvseZjBQ ztSEp6PqxaoK0v2^B8dI%1ZgXqw-J(9o#DN-QuCXo(x)K?VOkP2XY&XxNnw_}TJ@`% zko8WnHuXBtt7*&nLIB^%4YAh#jl`ng7!Th|e9f?P+$`{+4|CzAFSbmVzkH#8`%3<& zjFiy$c;arkNqHcE4?48h)I>skjOoM~JmpVNYsa5Rq+m+ITMx0jf8<&3kVP+3qK6f< zT{a|~{y34#D?J(E2E^ppT%SgA?BN$H^oe^BTY(*s6e#q3;`7j5hg>_Wh~evZZBF-w z$6QQHs=_BSx%I-(ekqR@1@Sis!kCyLUgX9;p?S#SERH5T6JF83GYS|!59=~lZ9E8C zmvw&J@`k#Aif$*E>Y+ z<-2hZLzIge5)~$~iPq$-1nL52Y8qFu|yB z$r2@!hF%P$7u$NXA^9*z`)okPzMpV_hLIiHEJYkRR+6mflnM!S;Zy_a4+v->&<6v* zrS({I3V&2oK)e*HcDXUv1%<8lNtiXT_ck5%wn@3tH2!uEOHXvK_H6Y*WZd(PMRleh2vqV; zBL!>r8*xP6=O=+TK>H@iNAuJ*LNy}D!DJxA&w-)wNG<~@G4X#Om*Lrj!f4tX=>znk z6ZGkmuTD>J9^2^)fYo~>tmaqr4}BU{JpXlSyr1}3h5E$5L+*Y0fAMd~K7cmVcYZ3o zk0-;LhDuS!Eq;~50($5zA3)i`)DfF~@dz5oU@$WFF=M2AnbC2@Ol7AUKB(~UR07S~ zmp`NOkyp@1#1)rlU|6-E>+`u_G%W*xVLs!-%b!~0YwU8lek#lK6+zw&LF&ddm#a<` zcPU6;v0~t12`iwl{8S0SPnHl`Fd@;76)aJPQCDAu&;3^JEz8(>EG>ok7(9rS4fJ!8kFDF_O z)1^NU_nl*HA7OyI6QK(GMk{!#&J9y&0)|!AdCj;E$_yHPw)dB4&{V6V!h)j z29x7piPfpob7L|lO3tk8p4p;*lW~4J!sZvIxM%i50PjkJ#_E1YBDuU-kFQhOk0;fT zu^Jdj$ghiL-=r;LWQxkPeH&K(d@o#_~rl1CdZuNs~;{gy_gc z`DX)>ac43T=SWZSFcgm|tRr%y+O|Dy7YFmBK4CI_Y6sG3v5pBgYlMH}n(|JLhw;X` zXwG}{4ntem2??9ttx^3`Q$G@M)6m?^n|((Bggs9>8Y@w-fxHoB0C|~1NfsbYg;X!Z ztw-@{(Fyt!Lp8fXYn`6=hG_py&RZw_ni~)2XTp5s2`d0GdX1AXmGi=N|CF*QDB)=U zFcb!)h^xd2IxeP#wpj={QxFwO-gca+_=FMiE$ORi`y5(B;x0wYuUehJ9MR8X;pdft z6OsfQA$@%=jH);9_3Qpv&5(FbPicE<4P`j2d2vqKB)YB~7{NWtj>rwHWRoW4kY4ml zzB#(sV7?Jg>Z-BZ;>bG(EH*09RU?MF916==pfgzPN0xhAiYB`#ju0r{=+!5Znbmc6 znWmFdNrrXZEFDjrnw%sreG12%IIm%XTY)a0Am!B!nGD9a{Xu@j1y{W}pvXuV|E`o6 z2<1UXAam^|D78n^sx;)}HI+-jloFaedV1*chTf8HqItB^$p$!9Yzb6Lh zmayRcxPy^CONNfnx z4=4TRFg!RtuSefQdMt9Z2OSkuf@G|zf|Kh@&ajau69(u|_Hev}P>`w4?0p_xborT~ z)YXo#rqij)xWd`u@=&+*(0wA5nk0~5?4h5qUigt7sY2M<(v?uZI_psud^)7lwVa8v zLwj~ltcqg?VYkrzFNkcU4^!RWzm0;7V>xiJAClB}v(Gc*pZ&uRA7DWjRZryDfB6bP zY#qSR)Vzh{jpGJt9rX49{gs*$VQCUuA;Y34e$(2?Y5MufLzeJT7)(J7L17P#-PBn3 z7^B}D2JdDrb~3Q^cR{sOPRG|Sw7t~CAQ&0_FHOedNwf=D%a1~Y&{_}qb}J|NP#V_j zJXg3{Cc~b19=We>_}OaNp$*xw#>&pP2!uAt{_2=H3ry*XcfDnDX*J#Im)j5gL|je;v@;a)1HTSSx>OJWNN23HX)sf@6}fIJrIvKy|3<9KC1mxL+A3#3GO5T9wva3HSJ z-9Ae*^Uk?{ecgkhG}{#VEEY8mQ-jb0q)We@hx-lkSR)T&X>e)bzAWn%nx=WrdWB4u z6JpdZ7EO=o%WWI`c1i!ajN!;sF&|0s)sVsD#$Xs*-VWr$Ok%Lt_f@Fc~4)$ zy;+>Uyw+&vg1KnSTv-1ur&kTl;;7u>xLrOGL4C0>P8(T?o40U`*%~KQr%7F+q48VY z%CL25*ljLvE?in&p0_6hFcM*x!IDLf_JTJ=1VzvhSPc9**R+psw5t-S2^9vBuJNDs z5Y}?7+=$_=tv0V2XOutH zH8I>m!;_~6IkveVHEsA!ZE?Xge0lajgg2x_imMDlGQj&*y%)iF>mem=XIbWD_mJ+* z?S`*}Mo6w!bDxXT{k|)8F1*Jy$lt~rn0?BpPjY%7<@423b=9p3QB(`*KBXsCr0)Kk zcJj%igAEHf{4)9I(!VLBfi^sxe8fXu)~n{e^@+(p{rtm+U0!wcgJDQ66bRXhALn#nDvIxhdB5hFDV;sdz6Ob?1fw9$dWgbBgUaJ-VSCxWP?X zm`VFfSz}X#F+j4Z3W|S8IKP_}yqx}R+a}kh=fqM;*Vgh9$O}B!IMC~rGz`EaFT9Bv z+ge%OLH9JJ!bj}>4RNlO4qJ^^tmL9J*v^U#?IDyBD*`f-i$!t= zs{8LeGjA698HEnK$d6p<-z4&s?8H{GiJe)W+Pur^V_l_m1}O<;^WIX2vG2L6H9{rX zcPQC6_I183^OSUB=Nb)jqIb``grb$*80(j}B7T_XYPlZe2FAa^2uDW0H3J|5zOv0V zq9#^vm?;%jbu94Ok^N8%u%tYA=V2cf`szS;_sW2_fTgq`4@kGOG?kT;$N{zdqqP=o zcesurP7N5!FMoE1VbQLem%m3(^f9S2{yd(LYHg+e$(cM++u!^JZ8Ld}QD@ou;pNX7 z(gW?L(mip(&}6NePFH@?9J&1yW1klXRDGYe9f>r>&zm^4@{hbEC)XGU`ed#|JW^cz(AXPM8qgW-w1DcmK@~%N4)kaBCsAj$LI#uyXqPmY6o93+i6 z7HX0p@gUOdLz+@Yv)F_N){bMHnTM)7&kCdNBLw0t7Ur>M^N>sA@E0KZ1gQuE>?g#qdefuBIfVktf3^ z{p1l_R!&OSr%XXiZ;SJDQ=0v8U*c&i}Myixx-muuoNTFWVG|v;@EB_%sh1Og7;z4vajjfOx7msMbyLGa5NW|x0sq&ZX)TW< ziy=1b_*gI;T^T%zrd(fXsR5L=J?0NydyR_WYiTAACLehx zQ4rky8GA3I#OWnQqel@be9c!m>s3@<7WRRrVAMTP5cg0gsS_8Zr^%by=Q8b@RC6ZQ zv@A&KVe#lkavHK`!NPG^^3#o60$B^3Paz z$h|U4`F2_6Ra!nKMawMt;`P_-JnJPRCXjz7#tWS`1xKM_#KxZCIt!um=0VD5GcC#0 zl+k-vQ5#e|$$BIkSYB1dR&*kA7VH+4pB9k*TSU-;de>yeKl$dXk}r!$LImc;Y@V)8 zm{RKaSFK7=_S{dP#l|&n1nEBOM93 zHrccF1dE=HRRN34akGQ=Mx?-L`d!Z8(A~6R)8!+P;)STvL7Kiu)#B!a0dG$xf`)Y# zRYEf)0k2rqvgt-rA14ZC>#XaB&|#)BhGjXCQisG9mLT7;X#(yF9$MycTk4|t^go=6 z`QLvwTmesg`iJXaVPF!&eb*Gv&!x~_UOW7g?DUL0vK{HD=3d~vZ@BnM_K{KsR}iYd z>87ZOs!=@W%Kgt&-siGmYL+F2l5(_b|8v1Vq1#2Xs~34qB{1GWu^G8AzpLkTmm09X zoB9A__9Uc>%fwG~8d1e%^%UcUreTtjWZfY*dN0+Zq45~=w{I{rW+7_dvhO|tC`Zzw5qhP&n`ZCcU=#~ryo@@PWK*iU>PzT}0EHM|)13iIA z^H8D!=JX)W9WIkO2sNeLQsBPJc;1&WIH!9~S-?h#^gKG-zbTR^yQh2akM%mPrwRP?=^I(qh^AiTK zBb{fF^tCmWuLQR8!t~@LbVN*ot~K#5xyRNo|LulYr@ZKHQ(g;{8*K44bqHv>n+;~c zC)ZzvA%V?xpREY+n`EkNeEMaD^%6penI$T>R+A7-!@V zSVfU45!W&XfHxaykYAcK!iTR{1KaxqeJylN;^D@@8%6R~zA91}x_$0}z4BG=eV>hu zXhSOt78u?z0{@lXkzEGuE1jqt##0&#<37u$LnRXlmQboD-{` zI%Rs4s|F0-lw^fF0w(O}&oXU;=#!VMup`F~gu1V^ffs)A0<3yw$hY3;JhTP|2a9I= z(kRBi+TU3;)PdUJtWQ!@j0D1pbiR;RTurXWx^1x(_7scbkBdz@{1pa899iNzxhAF= z6yx9in40Y&SKC=t9LDdoBcO(+Oc!%c(CIt|BoJVNzQWk)kxpMal9xvAkQGt9O6T?I zxJA(-P#Q5!Ni3dFX1|j$*Vd&(N?kOJ|C%Nk3K9Ow$1L!y?FP0e_Wd(Q&xGKt4>ZjT5F}?oC#Cm~$T>KNp=09(`urdgY z&o<9CMr(I88%ML)Uq!G+iMyh4EyR$f;bYIFjP~nj2@m#YECy`o%1->jo=22RQ<(Y$p2hy+;L&xK(q_jE6lX(Rf20vh zqXqHu)WQvyV*U?wyt*zl@3wh>8G9WtaoV$v3>flK4Hk z)NRWP-SBfSD7RKwKUr>KdHU6!jJYA8`vprPrXi_U#Qwd?!y6Ow##+7S(a(<9mwlFZjKpU1IRZ-we5anus4e|UFu zzJ5Chj1Zk^@_cT?%TR1u_v(;h(nO)HTPTPp6}62&Wk`GP?Fgf~tj`RZhHiz~E0Hc( zzHwfEuOMS9P~Y6y z;Q$G8ppO|YCNb@dTVk9(p&$aPCPH(LhXfv7JR!z2yk-=W{K^(F6E8!rPb-pif&9sd zfv+W@Z_oR;BsqOrsamAI1qvBQpFNNeh?0Vdr1)Br-KUi@sV|`d$I|5BiEV|e$Os{4 zZ0o*Ey{nV1TBHgT_TL0b?R)jv!8Q+##)xiIZE(9%3FF@DWcV)VJm0I&WKasw+R?0L zs?!uEOW)ZF%h-)>O2H0>Mc9aM6lZjP>r+msrzXPUo~+zq*R8^ZFzZyOQF4wUk7p{4amw!-uTka)cG(G2Msc&)2?pE80 z3rMY$ICJ`**ztm=~28UUnX32#~6cA zzAjXs4)x2(V!aWjSuKC`WgSYc5BW?kFFKt6$=o!;la^`G!@4)N$X-PN)B>wrEX8X_ zF33NjOWI5Mn6lX&&d-P5I}km3K2KX{EM4EQdO(;^_c1!f3pW3J9((@n#|C{U=~u}` zc%N6a+ipH)h+nilyVRp7bF|D=+H>NH?%=3@7Q_bB16U6~8kGUjY94q;h1W zzrbtf?WxG6{z`V#iynX_orG)bfd2i&o3F``>c@Df6IuioPtoVcjnI&*;h`>Cy({7D z4IV_RK5sYsEWLHkxOUNi?7(Zrj{Mvu3lC|5BT92jYN+MD}M3YB54 z*z-D=$%f%Sj6RL&EYn6iZ>Ee(tavG!A{u(Pj$9mRl_wmH?pSZa3Xz+Te>PsZu zma+o+&E{5>|Hr?nPZ|cqYekmrSZh+?bq8fy>L1lssK0srucl4|v@_Wb2CO4sY~mS)cMRX3N)Mz`dI9y#DiNoInDlGi2{AvtJC5x~Z#k zZD|Bcfe_7SmEPyDR4e*r)a6BrNw#kS9i;@`tO%;K>}*5qfknm*p<5?!zMf@Aa8FVL zwuG*Gt8s(()$XkZyitd@atwcJd%jhcen`{`^RwWw!ppBWXz_Y1L1Zbeb;XFfY}FfO zfB*2gF|`!f(KN?-l9p^IJDA^Jn{$qhWRK;rGM7u%FcaQLt}v8-$6}p3^N61}d#h-- zDZNsE$09Jod{Tr_?w41rx4N1%F3%lL^o;j!4XOU%_J7%Rj`KUT(Y&}>UT)9tZJ-;y z{zUeb&EY*Y$u3n&);fmhpIcLVEb|WH>PKBiLr#dMRqVr2UN7!ZYv6K&OvQ>e0ov#>-DLD1 z%B-x1c_DnJ7xZ>aPDBnKgB`2@NM>K_XeU}@XgqwTjVc=JKkR|q81PbLxwY;;VBDnWzCM~mSc##a_;kpDIm5nh zF%Zb8_lXJ*DSj9SnRvd{rjPYSy}YaW9KA@yGg756;@wm@gH{qaxebaT6bA(If0K|a`tdtpUOfG ziWRO49bm-~r++7~kX38)!P9ev2XRkZFay#wwu4S}YPHX09MIPC! z(P#yFUtY?Hg!!~D7-G!6jeK|cMzOQ7(|l^px+*V>*h&Ryv#vFmyvIQ_O9DN5lS`xu z^Oi{WFkZX^4ZDwxl=6LN3K!n14_qsb!i5Yad`vq3jud`)U77Lq$rsm(qG<8%k+`(5 zNz3#&Dc-GLkvd%F^h%SBg1+zqO7F}|lT z2}~>?*m1E=$)$GBZixg}xt_74UCa{H# zs9AznroHK5)(Q71%wpQCSZC@dwWOKpK2I|%vFB6K|JtThU<6#gFmj3p3y*#=u$M1> z?a1;8-e}^LPiON`)lcRVSE3RtoLRJ%EK3||89nHxOT}Ue`w|hle4jMk=q*aKNL)Wp zA?3g(lh5Y;{3mo!;w{oWr98a+G^V=xLDe;gmKkC}LcL}5Ojm;2zq?lA1TzVNCK8*M z`T93k7r^!w$x{`GFH!kWOj_aj&|+SH){Areg*a&~qW$np=@I&gV|~xd#wXWD{TnF;}ncz?=S9h`AhgPvQF%NT$^Hgoo<3jk#lfDA3w-A*UjDf4H zPl|8iSY!&QKwkHq2(aQZ>g4=+`Tr0zCt$brAaqkn-eRu4`5MfK#XkW zl{=$Oj*OVCMEOiNJgFckW}Z<#UeDV@ajaWwo35#;uDj*{{c>$VWy-Uf$d@+?pLG>I zR_jm4ly2kDe(7hV$lDd`4)HE;)Zl@B7W9#aRbu_H?s@AN8ol0VzCPv7x2~I|LEuMMd`tKT3-aHhfY@bcm>pB_>RRzhwe;d5V%t#=w2XWN^=X{pd#QD zGCGhX?W`j4e_^r~WR;N+0c&84LPA zSQ(m=Ji?h`+Nfla6&5??CJ@Ev^Y`S2CRtvZpB`3CGsvgBLWrqut z9uYJ3wS*`VM<`Up;;KI{kY$vF#7eLLK;_Q3=AmJB(-M85<7S95B9B3`wlww*g+9JI z(x&Y*NQnn24q;b z^~GJezGbgM$4&5u2j_va3L?WfsE4t781P}__783KG_v{BPM9?CoZ%@SCl0aX@p}xj zmfqP>|JXcQe(0?NNoCU+jZsp4Y8Q_~-(w_!z4Bu`4!o5MvsXR-XSjS3kpV;JXzkcu zyhQqFo%nALK*>4Kc9>m{n2?MfRM!gJJJ2XHLFm7EV>v6rM z1ci%AS1}uc9Lw`OBZp~_D<%yIoK^9p5;!Vx!(Jah6ky>G?3g7W_netlJAv}nF{To> zOxYeWF4pxL$`AvLbl|DL-AcZ&UA{L?g@lvy*8C_zP8uOqVZ)-Y@Qz?&bl9ypst0h? zn2sVS33+9`&`?X9J_PE4O;KLkV*3W-VkD*MxkC6%z2Zn#0g+216+(7Fn?4<-BNN4> zhYo~cVucu;VG3B<24>S*kS(wWiBqG6#qpG8txUY4(sa7? zf`LXuO~GgzpRmNV+$zRwS{QTv*AtPJgj9#8N?3mwHogkX{oxMX43e3t61@492YK>O~LWUbalKTxLxgyE? z29nT<#{c=vLW0L2Tdekpd6z`j&dc!%r3l=m_pwW$wt=7x3%E1!KlbRc90wDKfkeEc z!(<*l>xqBvOvuy$*%KrIZ|V#kiJTx>`XApEr9F@nM)L;A=r0_K3vqDebxa!cg^X#~ zF2M5aC)Sn5lc-owe9tefe3y03^y0$o_ zDYCAL{8(6Y$i*Jv%L)Ru!X>0)6n``n?l(-OG&6TyyT^bEq0omR6bgEU;@yOA$M#2K z5muT*?cFL4u|7#euwydjgw(^BW*+guSOJ*SU6b*=jj5or&}lGaM%d0B9;bdZH0HZ{l}0W#Al@TvyCwYY9}N|$_)x$6 z36WAT@T&BgFH=5h;zhhB;k#DETIg6%!OA_PrxWYT1`Ps=rDQ346tOrGxNyoJQnQpR z)bc2=qZDDxf}j`ht}liEpD+m2J~3_$HE&N~#0d83FIl{TWLi5|rN#qHXY4->QLM=+ zC85MTgS6aVIsUJFfCZBWypY2_3o1E+Yk8P2|pITZlq+>&-xC zRWw*vhB~gHm_lPhex|ex^mWOyJ&7-cJdW_#(~n)zga)3sv1XeR2H0n69)EZ~Lu|jSdHLhN_|2}%pKm1c5-dMyvxa38 z7z&F_t;n-MLOjxHC(4}YK|94|nx}ML{hk!eT(DrL7S%(pG!!%>MkG`qjya5K{a1I1 zLl8Fs^JC~hBSE=%S)F)nie^Jvvi?SyXC^|nDtN^DmRO-0prg27>c6G{U-d8v(7uS# zOTkNP{3g_wmBGXE;aZy5vrKbw6=E#8>4ucKMJv3Y&Du1|7rYpFkr z-dpDt0pn+~dCn{0+A_1&1U|@U4QM+?%Z4S0gk(%of3;w#s@m=Q2j7`GhP@LHC1l~c zies6XyubY(*CrLbHKvt#1=m9@@bZ}f>b(Lr$%zJqjz0flLt*D<@Vfe=_zK?~&Q=P(U!)1Ff~Hxgzi#75g3b8F*||+ zK|`svl(7pV^{IFkVt|c=4X?YiILx~VW0;6cO=CS71qHpJ4VABgM~$(ZYrwdAMHF;j zCkmmdCUa3yFRJY-?rB0QgRi|9I-tWKfM!VRl3dk&ndE4|Hf9dyI^qh3h&nm2{nyG9 zqdZ;&4MkDvPUJX4GeI@M4^MSTuyA!?0Rww1**V2J&O>v~;5&koIj(?AJ4=y6EKr}= zk*K6Zp?48feV+;~sL+ClG^pnU&!ZN#lr}U!&;MF0k|rGsc0=0OYMOR_B5i0lf;VAI z1PWs8^&#Q-5pq+4oKcWFv>O?T^x#TfZ!Zt#gcJHvFUmFM0NbH`<=X za)P+8pEr>eUblU$#|HGLji!>EiwmWeJbUq%;^J#@YUn3w;N2K!QAlPVk>pP#4Gk}2 zKu-OV@b!To4_z22Nq=h$8!V3}M|{%y6@$OH!!KI*#&4VXTf6h}`{D%{{#|))l@DK4 z^A-aO=Vvp!jJpGl`6kk4uL)A0V{Em7^r_?YqV`)VP4b8uzF@k zDMX7_z$L{dp%ct0ZOw+KC!|!$wD4tiWm*e&!7iSnU zT&=PApKJN`jdlrRSckiLu02JmqKz?$V`G-xXG=k6F`$VomV(1wpXj?(cjQ*Gu=#v8 zPxYyOGNr;@&)8S^mq`sH=DtU zxw%4TKgw|;T_b1DJvPy!fSYSczRyTnHgPGFWcE7DId0C3%KK*5lnxAc2fK5jka=Od zW^yyFFMzyz>metc;n{4TVFzsnWbb_~d}h+uZWj`NF7Zm^y7MXB*;BO07&!iuPEX_k)0V6hON?V{~G}IKrL2 z7E!n2^(WLJReCA`C)OMULm`4uh$mN#=9zSFXt5qTo+uhc#$$J~?mE0Xc6r7xS14;`oGsXOtE9H<+ZBAP$tC`;1pB&(Bw5ZoE|uMhn7z!6+v~!cbD#DE>8Ce*DQB=r- zKjeERwGuJRs;fyoYZ4t1I4O*9!?!uRh4Zm}PgyW6CzC-R{Ei|S#%&cSfmr&M^655D z;#yU-j9b3-+byB}(%}g=itEsPJgXCx*~0lwX~`gsx15BGdAg{;#vMs3zSF=OJUY7F zpOA`W_QXm443kX4>cdf}oIX>5$mnQ?{%OB*j zf1edleu&DqE*N@8MBN&eEI}c#xTlZ!wcZousL7wxJh!l27IbJ_)7nQLpX)QWHX&#? zFbC5$8qsru#9<9E9z5HP-M|V1Qtx@Bo%99pE`8>iLBS)b?}YJ=_mmFr<0IF{0_sIE z$uh$P0{|1&R%jZYZ_iWmc)NSMT~iqz-ZjkE7th1KNmcU^@2pILs$W*?{q|P zA%x`dygx_+-w%x~nI$npW19>SAwi5HJA^Kec8Mdww-3l8;(DHK8yH(D`P$=v9Fe4= z@dGcm$zx=@By|kAR`@ZRHa6%*!j;epoWOO6Z(%19Tb&64-mN>n%Uvi;e6k3n=yALq zp%XBwAklNtSg}u>XtX(Yn^-6=oP<0_d!ng7lkn1yUEZAs4r<`~avu)?q&P(RVjo@0 zXlUN7CP^6hut89-B#iNTKo5QoO<{RR9Y%(ZQ9_F(iA#_WpGdTkABN&h5RsxKplacU zUWAN|gIp)D=C;pk7WzDRPD}=R)IgON1Ir2QAci%gUWesMWEJ!*x4np$wvq1$`77_1 z94{n=eC+uyGC)OP1q^39D6T`R&ZSoc1|wRCUCbejVasbS+nFZ9g2Cy5iuy63){&`0 zUuxdy`}m36ee`iaq3LEYO{(Z++!%f3S&184iS1!5dPykc07w&iP7onU_pEx_@obM} zfl5hC;sCA0>!ZYReUfgt1Yz-*xpAoX7);$I->Xqe${5UQnf7R6$-}2V07g0bG7jkU zhEZU7VI0}Wvug-Tfjm(J4r<4XrCT^tFf`?2#>GTIQ${EwV>RXVFp4l564jZ!)BY{^|fm}qQiMiji0o)klCX$!P zqZ@eKfRliOJqS3T68fIR#t-Q;7Cej>Oa`n$VZ!wzVl5*fsI+5fj*069f$>9qBweph zC?3y|`GxXuvSLgo0iA!)aaeNN{8*t3nBLsw(BTn7EHL7IpB)?}(qo<-8?7{*UN6c{ zqKw6<9jgFwNCLu|U|?cIhoK|B9RYg6MKc*^tW9io4j0~oMINusyaWJu zJRS=HRBFe(gFbKCW2SDZP>Qjsv9G1&tEJH2MGDIieyR4UV%1V8enSbuTP0A>#iW>;jt9PQvso* zp~cOj(#Mg$h~zQJ6lO{b-3ys0^vpIDhann58!FezkKifQ#pWq*B!Z|AEhW)XNwKA6 zo06BjmcGkw_v${cH#;%wQ#7y~dM6@`df8IgE?uuLs2O#Lhgz_@QCU&5(Ox|1(oDki zQyJSV5kUPA1^qik)W_>>j5u|vtWT)_yWWdbpzQl~ zb(?Yp)!*c!LW8zQ>eMI=+mJ)GU9sD>y+7hW*dCJG#PRMe+l++fgr9udB&Om$c1PE| zbLFX%@Hc!+`~>d>(LG%N&{c8 z*v#TJkOZzOI@E(O)HSuu&>0Kq4MoSh!>^(K7{;pT-n}7l6P1EYXVKjrOx~BeNrC)m z$ioeEOF^0Dr&tQ?=^sN|GV{WFLk>`BvC%LjcabVFO{1}F{@B7^Ft)olmbiZb+MJZw zzBdHtIqNF%LJjS{6MbhC7W6IHH?TbplzArx%vau}^UL6AqP=AW4g}ibFx0$3uICJG z5(UHPar(v%Tp58*d@nre+A~F1wpd;d<&DRZsh3sB>^DCKSder(sPJ(tgzG}PFl&G4 zn6`indnstRXaFgw8}&6A$BG{ZeVKp%XWz&Nadf7$$%{b`!71{o!ulivX_;4Ban{w; zKjQD_j4l_Z?IGisRD+bmAe z4S}P3)-m-u@~he3s=w1uq;5L3lQi6gjSZH zo0?8orZ8ne7r(AKZ-|#oI{O}eDa+7+ou#sjtr2Sim6pzp!&mDZT{pTvZ*=G`i|P|@ zR&&M#w$47%*(X*lj-WMbEZ4@~tr|zS3bU+s^m?^bzLA05O%G|u>VbuxOm*!IJzsLx zOvF^ac=ad)?M6R4ul4?`WpH#Ek^!MpPN7lu5`R-Eh@wJM1z9w->)&kq_YOAENRT~D zZk>Hdy5UW_W814}8t0WJaBnsNhFO+3`C;(e6dd>|XS8g;Zx<*wVD0Myp>xD2OHm-l zR?aN_aHz?$+*7TI6UgGH=w9o-hxAlewG>Ys^3O9&jCfer5)ItaFEoA2FGQ0MYti!Y zRo(B<7w1d}#pwLZya+5lcst3ytCnVU-z@h}`B`pZ4JRBi8Wkp1x))CF!4XRU!nz~v z*R&$PHFL1_zx~yZ;ly7p#}Nt6PnL7LJQ}T0WJru(y3WX~wx0+{k8-*?DThG$rrV9F zICo%&XoFk;dbCr%E>{H;552JOCK5APVtt96L1ZW*2jm`gR`gzB-nSGMd`n^Bw-gqC zOJQ2f+tR$R>jD2QS;4zYHViiBHCgd6bR8Gk70)-Iv^5mk(rh2W}L^ByeY7svO?9zcTyJDB)E*H7Z&|ph6jAYI}~I_=ZBc=#Bz{UDZqhEv%`; zVX1D_fzAU8b?8cZL(7E=IwgUAkBtl+e(V_LX;ww`kebNu%wr8I&ZWTP&}YV6^D32r zm82(5oPZb-2f>;pLLHCF>(ivZ67<>R#hD$)L_riHPaP~yv{?aUX+~hy=_sO$&2e)s z=sB!{IbpB)9zi94ZB6pHr96>X5Jc|%X3aP4NX(!pp!Gem9 zcY-K!?a1?pE|FGpJY_L z48-AWQxY*w-3fKbe703|rNe+3^XlQe<=_o%OAZ{~@?mmdq#I5|q}Rj6eC(-!=-NjU zOtQqr_z26Efm068r$R44X#k^=akM%^KDvoz8VV?PpDE~|dBVuT5KNy^DeRC;9Su9NTnH89Y`N}BLcN^VZ(ecF!(N$K54={Xi5G4;8ws0>%-^>tF&`HjE&Ylu7c zdFqwi;!LvT1S(#{9XkRRfC-^_F=yv$4wFRF2;GRGzkW0)J+iMvEa=AN0Bw2@sVI(p z=XTWbTvUI3Fp`;1P7U=D-z@A{kuc4KEDz`sMcx#RQNuB-8icd+x$AmOnscnxgf+>9 zP+J`oI!-9`Fq71O^IM(qPMbGo8!&!*Jmpnf(NImUnm38*uaXQ=(D8&;N-4oT8IIXb( z1`8P@;S~lFqv=tZaikAXe#a5@OS4UhHE=OEHy&ge&H=Qqxfot_Jf&Sh?jNBC3GUd8w9wq6z5@U z9!h9NdBwK~!SnE7QtzzLisz@|;V_hGUDo-L9Pl|*XL~M={<~7Uv-v=Zy{;)P zfnj^qF1`}7-jQ^ zBso#}=LMM8C7g?)=N0z8hWFsS#{Q*wge_ZaXC0!n%0k%kX0`Ya|DeZy?gL##uiO$E znOiMUH|N1XvoN3j3(S~qn{H^{5z~1O-8--Ld2tjtUN;u!RT3{#x!zZ~5EC!IqeBTz zn>U+0lbii@UOmG&9-}qX*`isuq)>0md`$&DR=mYaX)IDsv$f+{czwzhSfF`=ky;g> z<(GF0p9_1JXpftG(MkhIr07Li@@Jm09Z|EK_77KyqcE4|C0lJGZC{tqqN~3qPNH}A zc}ackeQilB=?$HFMNFvgwk#FqWN!cJ@BjO4%TNJD`&@Q3Ktz=LUQx?(yhBo8Re$xT z|FGfUR-?s!P1yS?88RZh<&sZn6NeW|FxbtJjW+9Y!P2g)wiZBf9j4R%|NEv9ePL9( z{-jdNM(Lh-lJv|7pjU>{PZIyWK8P268V|=9WAWZKi(VIWWA405Vsf=QC4xqjs{*wNUk^kDEPDM7V4@69BpdKC5 zhkEkeWXzcknCDK{}nUuf7D~RRQQN`4b8t$A)zUJv?3ap#L;cG|q~zvPxoiS|)qaLarCwZj@J= zzAYM49p7C9Qk><@VXY`;jwaoT|67#k-tdy8bp1K{VppJw8Ep_$=N%35{m>)|+fori z;5*EPP;!Zr@RhRIUn~oI=_`7rKc(E~C#+yq-wlqf$K!jNg9n$4-@Dwdr4HHLr6ujs zG`rCHRm0q#4s&<%dC?bXWgNPFiNB<|koqD!^RO%T1PqajMEtH`p3D-}C&qGmB4`z= zR#Y@@>0n#0&0dgRFg#oGHG|JdxmFQU&gWniz)am^yee#}clAU-#<@4f;)Wz==AL)x zXBd;4HIEeaFb|T+Ko3<*IC|Lo@fSNiy4CBqd!wIsdgW6jbC##qoyeK2tG;|zMfClf z%O14;8Y;J-Jik(P-u-6M{@)R`W@|q3QohL932naH(cLLhUE##je%Dz#dPIiFq-Zif z4B;P}G{m~$Ms#bKqt;MEkCHbQ;a!vOVY<0WSl~>DUNFhVxtau5dCKsvo29vVvnhv_n zKHc4Jgtg!|j0Ix;PhE3d^C(jdJm;z*)J%=8yMLK^iJDZo7=SnO);?;|_hnu|CFwH_ zlIgPUIMYGrPWr;V+58xMS>EsKusI6o^2`KU&7nS>ELW|lf#gtcm#4r>6TA#d>>hnJ94Pos;*UdF047Orvr<)VhIknZubNc0VdS+LT~$j$ThN0>a6} z)oP0_cI?bXM4;AlhQur<)ZLmO<%~&qNQIe{fE>}iRd&U&svpMD!M#zJZbyQ{H7zEd zyh*prv>R`_l1`gO%@X4*u040qXo_l@->lZVbYBj2>=p9&%r9x}v6gIaUD12%Kw>2o z;mgxUSsq(1XL^f>XFA|?srH;@7cX|nJ9nCq?oQ%v(icH zmbMqZw^heeq`rMI6ideD4?B$)y^`TKYt=Q9d3WT=9P}_(qaPTGM9j9tgp_J$SNPYb@`Ca zBsi;}cL>Rf&&w{16zwxn$_E~5^2X6^h7uxO1|Colly56L=0b?C*yagkp9<69G_|wh z&9;IhB0R9>4xVD)+m6>z_QFW{Bjz{sGLhiFSwwptC z5D94sMSrtDzekAunh<(()#cfGBuny+MdnN?>$DnEbKpvp=a}rk@vh2Wk-_uf<&PCM zO<&zf-b515igr`hEy|>1tecb$7Z?iI>tF(*dA7IGdRBHgm~s`(TV$2EeIf#B(^Byx z3nyIzp~W4(O2AVg)uE!4fZLk zVf@$I;`JOC1^zGpK)VrPO>bJ_TXDW&l*+hMAhd?-XpkQ0&c~W3*5tAz#4EkV4@b_? zU9KDo#Wzc|o0i)ZLyorTGyc6Zv22+42F)y@e<}%b{7oX3Y7iz!v!;l&TC@Pt9@8E9 z+eaA+5cN^$$y*7Itf4Yhg_I4Wp?dye*>+u#)pFg((K3owFsNDx<+ZGKRo^P!mWxg; z&Sw(|p#suU$ta;pPvS*%vwrEez+3AgrA|JPBI~22l2S-R&#oIHR2vJp)R{C!>Te6IA7Q z7Qj(AZjy+p*J+DRVrP{+;W(Xc7G)R%o0?H`&7?y5dhkk&2(QcMbnM>OhRe;a_O)Oo zLS5x#`R$=BP#JRMj(>XrfxcUmRQf9DoKvCVSjKG2zf`W94H))f7s8kWl%@KMlS5#G zs^?nbt#e}g_M#&tTBNAiQ8oFozCAWJ1)F6#dlMx>r<5s+?_cbJn+>S-C`%;BSjU)Y zpql?q{pskD*9#G^<*pGA29ZYBi^n4CV6lpd48=ArC48sCBwSO4OE*7s<5Y0;*b^zb zgWs_>y*`xbbv|5f_xJ6u!{O`etW%9HfI*=GaR|g5T0Q~sS01DIjYfd`u^679Am!)j zYgA-H2U@8i`b({B6ZGf&rC=5Mj^$w=T9ee{j0Wa^+`Nof|z)-&499#b}kgg)b<3v9wKze(H08_~*5 zLMt@dOZmt~$7X;&EEje1ph64oiczIC6u@J8Zb^H5NeK<5-*Hwx>XaD!mtV`Z8V1%n zFBgKK3JX?~3IboJWyZ7WWp>GmSUgT($hAJLKJitYw2u#!)Fv#CAqNtsP^)b7a?wV9 zxQYaUhfr3}0&b8mnjr93^nP`1;{mIDTc(d>Immzed=9{k{{^PXlVWctY0H2B!heg z7h3Z>b8bvAC_}05axhU6T2vUs8N5kn@Ovbo=aSb8_s3whNN{Auy@}TtnoeYsHmCe- z-WB%@S}Ei_K|Jz9!9V}b^hCZA>-1tpJJfPxf`g+>uN1d^`L!%pygtJ$;Ptqanb?T* zD37jWj{$ayB9vMzwn!|AcvX?6Y)T^3^8gmRM}s|~ok*QEK-eDwK-Tu<&lPI^P!M!Px53`9X}Vp-I1H)gvZ%ov;l-wJ!$M5)D8%+JKmPVVnN`;_ z8sb~<-m5!V$c9LCL?96a_~*VKJ;uNEdmlbb=7S6xDV>OY`|zpQN?arKb$Xu%>8BJ%%|+eAR)X&@ zI|%(-p6ULoFiV`6c)7ke5#$@NE|j2fye()1hQ8I|-?yds6Dgq)hFVG=ZzfU9Dv-=W ztA0sHVkMCgMm_$uEsPy7GC@FSGbv{UvYZadeNxk-cv$fQq#BwU!i#!jJ@Zjz!j!~~<5U;pgG2gWX4deRMbSygQ76J3FR$?M=>nphvzFGSwt_rxkr zZQYs#W_5h^%cf0Desn_hy*?Ec77zLy%FmHbNJ0F;^{0{ua_Uar;CCs&T+-xcqdT5Z zk!r($w9x-(x%_{K|3~`&F~6^Z$uH4I=EF}Lk%7TYtX-fiH5gRDU{eS&uLm@<(FTbYi(yk!HoA0RdAyuMFZtD`r z2mWl7`IaswHP-)N6{E0d1z+TPO7u$Q5~>Oq)hV^mT%lAfk^iFQe@0pBcYG0}YV*CN znz^r9RyM-)j?&0a&hVdSui%ke9_t{0r*V+Wh6;IsfI~p(E`M+U75mb68;>ODG6=I-C?-=Q=qVfx`HnieEK& z57D}>O9spxk^Oj{CpYi$MQ3Rw4wm(dRL!cepJrm^>N)-Rs}lo(y^@7 zp+#%zv!!3Ct3Ym?ySjRQ`LWEOXGbH!EXQyPwWK`)%qYGzTNiZhm>;Q3Pcg2KM`j2=%Im<~a-f#_ z;7)rYNMrMGO%8-i730{RUw(bs6XI-L@5_Qi09M%1Y>RVxP{6p$a~;Q?W;pNqE$`_vXj#X)sW+S2+y(;9zfNgj>K|3VW6%_I zIwc2YVKHWnR~cRN%o^&0q64>VYkH>W-OSh-&YzeyulwicPI5|&g@$-Gj|H`C-ss3p zHkv?~0nf}9ZIKH{%w^WO^UieK=_%=J!&*RJl!F~d_4(yDbRcXtFTdev%8DF=n!&Z= zdpj&#x~lVe9QVx{S!j^5ZMuEFJeKTAv1h^Y-swX=Klt9#L26398~e{92WZaQamA%p>zS+peP!VmASkAGF4 zVA5q!B8cbfplK70)?Tj#DE6z}1fEr5`x~ zU=S2SUWO&2=ZiC-njFP^F6fKeT06%IVRoe0oalb>n3i2`{R_cg{5MBy-I{q7Magv< z7ioBmWPfc!&x(aH;j0t+7SfpCznw}^u1(Wzga5a-Ys+z5H=>i900H!w6$sGJ43K*x ziliRPk!`iDY0K(J_B47Hlb?Jii^x{8k<_UoDauyQGy>d@hTXD?ReTr8;yJiuNX7g! zg&U$}#^~`InJj)LTD_aipNfJ4iLsX-MAgqkn~bC$%jjNi=yCs&d~h1^YEnbac26$% zA*d04?-Fw6Q_DUcjWRo`n(p}aa;0vFo9O9Gs~g-wK$oQ%*6j~6zfqnuy``sJ z#B@?nv-r%%$%5CE(8QNkV7cg?X}N^^E;!n15%)TWMEBUeCg%s?9vrZ`PFEwbn$xxP z)%tXS@C;}jp?Vo5bp3^)7xwL?MSzI}zYcs43>Wq=`U3U8$PK4ge#vyOvtYOByd!rh zm^L7a5R)-Yx3jlyN5ym;$yt1JiHUK=V%!-!ytmnx9v`-%gnM8DD#K9o?Q|JIK-kjY zIl0nn75o|`USd3b;3|YmsVmbPBb}nS#EyI;Wn{HoGxJJ4n!(bwa}r1i>$Dg zCI@O7CgIgGZqZWaz)jnq!Azg!l}in$9b2hUGM@QESA`=(De7b-_bOP2lSHyiQCjN$ zDMW=NqR1=?NLfQ|piBU0dIdVsVuWC4;R@en1l6p!p%xp!m#2a31s(xiC)guTM~-3T zWGwXK0_J$R@kL?)?g+_99+A4#8k`hXgMT7P|NOi04QLYxQZ=8djMKSmsjr;Vs$wR0 zLFev(KPHhk0)f7MkblX(PB&l=&xD|R4XW)L5MSj@gblw+ z*b^o#Xy>4);0-F=-P=q2^rJluAob4Y8G8}O(QTMhCotMktHYpj;hhaI?XZSnEFCAo z*Ad{eL)Sge0uLV-#9tky$wcdHYWfUW{!lJkc37P|xJ=kl1v~19oIpxN0Yr^!1dEUB zjS*}aoBg4R)|%1bnKilvcN*e@+8fXa7$1<21hhlmq*cZQ$#de8?ISCGzRM$L)ss2;{njlpUcNb z)jO@B1i54>7MOgopc0nkk-85oVCI729Sih*P3VUvykX&%IhuJ)D`$>c%!vscnmTHn z_r|E^LHDZJ)E_ae9dIb)jjC%?I-^WtiiKV|kILwb&igC#39wz)6HO`|&3tb(Ivs^T z=_dmSRT0NBJB;Q%|~NPt2^a?x$duxPQ%V*9y~H zDo0~tmf;hphYnyUj2ZTw?B9={AMGNh24$;bFfq&cNyQN}YgADW+31jHq95s}TqwZQ zV7E!4TRJkr+Cso!VZ<_K!cijc@YG}SV6v|;X0F@VY6w;3V_DqS#5;qx38=J1nf%*d zVtR;gAXnyb-jiF4jCqc0IlMR}2j_AAi^yG@kvxF;34D9 zc(PO%N=9CyiCI))HiXL z-@R_D+PK#nSH3FSP2H={hsJ%_0ekK&1G=;_2Ss!f%M?L|krM4XFA9pvMv0KkoseFH zIAoW1twjWjgGPf;IgcewkdS>c9)hr2-c!YB-YaA1RB!;ta(2}KP>5h|Oh4z6BcoMQ zI1%MU${-@F5yOq|y19^O8t9Czt&*^rAXEh*ehb@lktX?i9 zp{s(xiqJA4G|RYNT3B}-zTf+f_u60E8RsyZAI0TY840clVr3*IfgGSI?fHsT;Vdi) zn(;-wE08hS5i1yyB=BFQoIk!sC;V zfBxrRm+rf4++lD8g|Y;j1UYqAQE`(sERriHQYX!yez#SPiu@8B-{Ab{oLU}d3}PN} znfzA9fU}Uc_hooej1Fu zby!qe`#w%14N6JK=uiSulYlfzW6&u>cMJnaNJ^KWg3=)kA}!tBB^`=%N=PX1-QYRr zJ@5Oue%JN;himUWd)?3d+)u1E%*@(O6{D-0N=tH(9}8;Cb~o7k5|gkBH`QQ<*1^BM z#h@}W3*735`hgabmAox$&~MGqy#ugm)@_z-YSSztNG#faZ++7x1IK^i9y=#Rc9Chw?Xe>&$s+p8*dZGpjCPmomqn?_x zR9lBx<7cF9^No%3xZ$*IjjRgc%H#i5WRk<82EJHOKBDf^a%a^F?%rhG&DhOu74%^A zzNWDE8}Up@(YwZ8dvW4kr-L~0QVok~VJ(fjh{@M6*zH?RMv3y&aJrjXuf?CT z?uCMFqfjbbqFgm$tlg9_tj@%2j^XZ4Ngl)CRC}llsVWXB*{diV1v*`=YjI53vF^o{ zy%&*8&PBX@E0dbBOH{xQ7fi#-WHN`{uXgRJeP5O&Y_isoAfn15`r_n&U&}H z32X#kiIzPU8QcqBe|OPU{j;;)UVc$}`WwZQ`RCbfRv@9_yuCXMcIWWcy=z1)RMv&0 zC#AM>K2zsJL3zJcWQ6+>sqA``6&^HskxPuuF+W`lABhuYEInkfU~J6Aq7BCy=DT3d z`iU%wlC?X{!si1GZ9FC^nU4U=AF+aGMI5QRPC{CJZ%y8EXBdoGTi$tyqZKz^i={{u zRSIEwFxu@tUCQ<7hm+swOkJ1mkE6xsV%KbMpvg9WJ#flYb%RMFf7A4VJsp!>OzG4e z)z6MDOyEMosmIDzuM_1txfq}5kAhg*y-vARR{627;mS?Effa7#N)JrX<=~urm9i^& z{AyRS*{ju=u!RZyPHmhhHuZV(^oFez`g?28fzdZY*%QXs3?i}7BKx7kvC(cHARp*f zRk&VJL4rC$l}x|JX=Pi!$+I;vdb7j=X_D*jqN3ATF7cF`jCoW+ubacRbb+n(G56l8 zEHf4j7ERg45;o2Eml`}YJ|N(ffQEnxj>Wk~;%16MgI(>>HYQ+{lO+m_GDBM$qrj%l zXnO}!unh`hX$L~tnqFQ6@qvs{XiFm_QX4As_$;#tFdw!h>Al2>>JE5CHoxJUC$Tk41>k zfA9qP!3cx^0t|&A1+Va+z%T)b0B|CJxU!CbLP4BDSDfH*;PPK^2*BbWI4E%OZ+e0- zFp?h$0Yec`zz7VH-Ya@Sz_HNPWrz^K6nb?#6mX3H(jMS0 zgddEA0-#VN@=^}u6(a#S1fV1!#CypV0lAXwQa!+rOL~A%U?@Kz!e4M#>iq==&_h50 zdO|{%aEL$AKwf$)_$LC0KZ-%FkO3F|f)fBZ{ego4JpX0~*!4Lr4r35g6EBbxku091hfks1QIOlyeX6$t#Q zL;MvD02=Wplm8UPCF{!~{~Hf^$q#nf2mlcQJj4|x2n+!@4}n}M1&0BK;8z)fxUAMc zfrehTn7{b_E4s)_esDpcQ6Vq$4GRB*hqx?m$e&Dv!>;_jEL;Q}82TsDF#iAe3uyf} zKcP#0SB(V;0fs^UBpguXzzGC?)xxqd<11uD~ES5HMu`a|6iU#sq}1ceMkftSwzoAamf{$rhM8 ztUy*Elo1+b>jYv4{m*Moz&GkmZH-LPAfU1FfCTx0^npAF91;K{c#(p{f`VW{u$`s3 z1qNhq1~M^qvP7edYyewER)9aibLG(}6A;SI1mI^6STZ#;136gQS=#}C?0{JdkgMAz zh5wiVn$^F}2!dg}2newt1PlS2p;5*dXS68*>V~odIXPGwo1(!cC}1mDkgKJQvHf#k z(!Y^pa4@OU<3w+flbh+C|i(?y}6|^*a78i z^A~^dNWCZ@)JT!;J@j1Ulb zAt*60g9B?Ib2Jc1TNF@QXdn>4;>gY(19EZ)B5MpRwf=9M0q6gf41hy_nE;CUU%p>1 zu6QAW#1Nq51i;RAS0Mwk$_z-Y%T<~+2q*@i?A(AFzsgh#pz!QXE@J?smmQEPt{`i) zsihMjJrHJ;oihsU1`-gsvH^fYFhHXN7D&7Zz=j}LKoE$T1+eM^GTzR_-t~VX`0xDs z2kTEoU19-+3y=h6N`7Jp1XyB$T`f?+M-Y~#P9P&w8vqTUd|6p2G|J5KvNQZUz5d1% z{13NFJi$wi0X!(M#sXiq86!(43ws9;+SCQ;GB#k82~Y}Gu3vV5f2R{5!2ij(e-se> zQ(b?vhJcY*R)7`^1MV@l2Ebe{%MlEeF52eG0n$F&0;C6mZPm#sw(g|L$##iVL)+W_Y5AA$34n$JOca-~ysQ8VXFCj#HUIP>APS}!prAnJXnUu>i3|Rz z@4t;)mLn2M46HSQwYm`+m_vYk!C>5gzI~|*VDkUFw_m3Df6q66{1E(8@qe2DRwcYJ z7%>!>PXxh0BST;EN1K8;9e^GP61e++C#}Ec4gmjurj`FOXA8`L0)P6#U&esx5ttD8 ziK(ctu&`Ldt^t3suyAn8>iVKs-_$N- zto*W{XYhH+g(@)#$GkCmJ;mV4AiDZ(pZdF^u;l9xzuQZm2-exctd8U@hMf-8( zAz!vC>CC9;QkEhC-qA8 zq{<-fFl}e${8(jwisE#3zU?=R@0PIe_kq12E9eU+Hv+bc<49X_udnh_^s9`kmwI)l z`;8vXE-XQv%-!nxdd75Y2Lv7-hcw#jY_i5pZ96{+*BE`9*ITJRPXFmaq#0k*!?*k8 z^(zW+tD2UI*fXQhyq<)bT2AQ0X&>S0lVzW0HG=j64?t;S5&F;WhZhl_5s%=AGW|Gs zqkgJdFzkKPonjDAHrVuKde2T(-|>a}RVO)^cz({puUR!+oX z9wY}}Kl7B$VSiu|K5@xjE=&}kCzPIH%DeGu4eNSY>K8YCp)sYprB{h6_jBl4T5*%3 zdqOx`IH&uo+KSyNuuQwH$?kq?>T>WJx|!uoJkRHGjAkE(9G4XR;BVYJ%!X{P@oL^j zo+cV3#^Qa(SuC{{8jf5c@xX@EtB5dxq13sG_%jHa2^mMh<~&^0!l~L?9C6&^1vaho zmId4vbL(9z^Gvy!)U%CjtDdZW+K!XV(muK{sU289W~0DGHX8rQ=z8^g=R@L_F=n&e z$c&R%2(Q8m2aN}^U%X!M&ueSmn<^5RZr+3}`Geup8Im)eAhUfk?Hu<_dVskQf3>#G1HVVmUV6D3@} z;>`!hw)JVkaZ2)xK2Fi)4dI5Qh{q%8iNEnRISH_IqSHA!E+C92@+6e;eYS59k)5q7aOQqrpC_C^NA0*p}X~kupWh9Ajt4*9tD6$#>-=E@;sh5@#81BqGv#cM?D-Mj z&oU=4!unh~J?{M^?(vI*b%$!IQoA%4)=ln~tap=9Vh{G;TUnJm9_CkQMA9?%!;(A* z4JJZj9E(=0v%l2X5u6BjR^s^uvv*`!hmnss6cZ_nX?7IGrm0$0LTR;Ax=srr{;#?n7LOs5k+MLEZL zpIZlZPB|CCSVekYJ}Bo)2ucfvVi?K7%MCRb)ZLUVpO?2hsjV`tZ~9WH9PmIISB%${ zpeA*0r81%PwF|W_?|aR~&H*b;XME~JDlGi7XZ?_0J4qg$^Qu*Nyeb(vYg6!XP21c` z-(9izM_a2=}F8bF!_iBm`iue9Oy{X; ztz(xUvp(VZC*K&|s=9lw&sR4M*$@{F4;I{Z=%@L7#H;qXR*#A4-Q$nuZ+}Y|78ru0 zU`sY?uNxjH`-A*a{bm=K`|_|((eM4)Lt~%28NP2u#3IXt7=*os`C93&rDywuBr|v= zc#^E)v6265;dzEi8=K>?2{Mg-&AGbi0!tS1Sq-|_SiVO>rFb)DSiGBKKGEwd?11U} zW7CIWmM#zG;v=<#Ct1kYFlwnaB4l>^lG!^&^h}EUsvFv+J6!fc8Yk{vdojp4K`kU%$+KHrZmV1*rFyD;C#>-LsK!h~ zxv)hGhFED)6dLfb)`ID`Kw|2|PpHy{26LilL1XmXar3P8rnlL204>;hf_rc_={LF6 z*G1`<71o1~RP=NjTk@Fu{^tx26@ppAnF0se4#Zr%}}t4RI39vO2U_;M{>u zooR!AGd4bqQiWe&iu!@l&;#EVZKa5nhY6@FbUmPl>%WUk)^6#(|;QVy&a2>g^}BKvPzmQ2eZ9 z#uH!0MJ$5X8Z<$oLT_!Uo#Z@k+|W1dM8elh3|yzbO$64Px*LuCN$a7?_n)>n z6<>MN$YMi()UJIWYq;3FY2%c`3No(@m~dbWezX;;*tc18QuhVYt@4X5q^?P`?rcGV zxp^%EZH2$fnjBi>pqxMnpJAA?{AyyvsRCJX!{=3AViaVGS+1h1PZgQ>HRbP^^h*9_ zl2hUYdi>1WJC?3$|Guwhb9*h$1D98JlJATbTeWuCi_HmfO`}YyQ9e>w+U_!hjymBM>*=H8aiKl-ZFV}E+`cCVQVb-u23oG+) z)9)WwKAui2-R=5T(%JisDbHKDpy}oFxh9yQ2qjJ4S=*QQ(!Nde1`N>#_eJy!gTiK| zgaW2ssne)1gpZ3#Ibn*eEC9^~?gRKn18`JSeEU;7}bi=eYOQa8c- z3#h6ZK2J_}Nd3JkB7QtoHJENvqblPa!FZrje_*0P=7*6dH<%_kKV`I^<%`ru=< zGe28rb(P<)qq}q5UHh$V$k+Yb(o^H}7deLg6fLL7oF^7R%BLug<|bZ-_;`bxBZ~7X z1?DVu8;KIZt9j#PG!E`goIf6S@I3f6lDjkc9{S%ki^5cGHFaOI%rOgT4*Zy1| z72kEGQa!>r#jKoYA7x~}Vq@4k_}CTIbC}*qep4kTIpHK4Ir*}PR_{C2FFNiz7p9N< z`_)!u(k%oQt?fZ+%*c3F(P#c-Xlj=4f;&X%d^g?sMa^x0EDR7R6c zqtqdX<{P3IPP<(@rBf=;$G)+}#O}w13A$^u0wO% z5IN(*=EA}iv2)n)tJbHYAxN`5a}!0CnO{yY&$I=k4q_Gz)GNqyo+S&9%dsq2AZ;x~ev z`fSbn=sY(?B$a(plkui7(^%m{)uM{A{97kyWogZGOSL7vZ>5>3NE*NDt?EA@RJs@= zT9%gGvMR-DxEQ-rKegf%FY5B@0}HF$FlfRb9RJ&k`4-uj>is108^1*3J&#hYv^e^N z(xC-wp827%pX^Y4L|(r?&pS<;iv&v2_CM?C(XZ(-Xy}<6(GYBoM*P0j*j^eYc&y`s z`JiR;K(yq}9Om20p->F%Aqu-?DvfW==1GS}_#Qof99ieLj?}J=#Ru9AA2y$SQ*fuG z(lnCA-j2kur)uU+9!?PZd);kX#B3aXdUPZrJZrZYAD@d_KJ$`&G`aIx98WNiIZ6Z- z^|`4R9<)r5-u+A9G=omLq1i4x@;Ndbm%D(YZo{};bSjlkJft&{splx_&8E31g8vPv zl27rG?#Pa?Qay*@?Bd53yUpmEg9ytYf&AR^s=^(r2`7CX&lX0WK()k(VekIC(`z1J zc1nkRo_(0Hq1bgYQg z=6Y37MFq8~kUkZeq=>I|6QOh(02ez&CB4PkQ<>CX*fFE>OTRJMF`X_lw&OCj<8sRB zVAy6PwQFBY!_=mMlyCUC`F?ImxqNWD;Nz%~3SFJnci5EN8%Baux^6d>aUl$ed$QXF zK5_lXjcLX#I45zi6^!PZM9}uO2VWZSbQpp0(pllc{d!djQBQPe&n?NoTSH^Fd^fUJ zL~Fw(S-T><%L&Vb?NniQnJj&B6oCn?^Anq+HVQYJcU_@+;Q6KlX$fF&4l2o=jw-V3fXI4AEi=J)U`aZ9}u3l z4iuKOPsP64UhVUfEq z6kcc1U$FBr|JCtiefm6YZ71S1JL7yg-Y6lCpA%(yL?Q>i9*q@Disg+562YZx8h&Y6 zop-u@Tm8m}D16r6*mXXeh32VsCdusQrb+Sx&Ty19J)IxEK)UEVrw(#|-2x&@qaY1z=e@wsQ#PCA0 zUKIOOum0eX@&y$(!Q4%JB@aZ)rx%tMcTl!F7n_U&$pRX^0jA@(z9){n*ycqm__%E} zPfS$@7zn7PZCM3=eXl69RJM+_-n=?()o&PBRr9hKsk#){)N;&sJWL6Z!>)EQO{ zC*5o9*}if}PgfwqgzdrCpNMnf-}tfGZ4;bvq`c&$Z#r$qg`W4p=NpF$$C7y4jZ>UM zm9ks)HJHE8nLJV{s_1Wjul^~<4Ij$j*do#9=|6wpMMY_abl)I-r;sZrI<55MbOrb5 z^BLxPyh{0rfda&j8FudgFH(Ipz1`sb`$Mge7dVyC9%F|uhq`)dXYPkbw;HmB=n-w{ zFuv(^7*srK^g34k36Yb(UfC-&T&-Jp`yt7@`bC2Ys<$Hv{aIPE1j4VXek^Ovke*CF z&Zbu)Wp^0HpyHfGkR|Q2psMoqRcG17dWyw&_&aZ1h&`}fXl@#&?+AL?tuh|ISPQ`^ zFVksH_BGHXb;2!FKSbZhma8K3ubP}}>?G}yd(<-d&hujxRno?zdEsK-&Dq_+cl%Ozs9r}$?zx%d*9neU!# ze}D|sq|Npgi1o-Zx@(CJYFAV(Z@SfNL(>(~2M%w(>K3G0AF*6eSiwDCkGk0PUBV@m z#=skw>1T*|QJh#Y*!0ZU3@V`Zeuhm>aqZD0F51&%gzTotsaZzXHEH^R_C&OhOs&^b z_HJt*&Ez%a`OLyOQk^Oyl5{vna3aNyrm{5Djw-{)eA~>Px_XWwSYw@tW_g zRu<0WMvuBB%tHtweh`FmjS#<^9AvBRthrYs@uiYE-X^VUd)-PsH{G6B#-Hu|2mh7+ zkGV{oWBSv~(|Ug4Yz%64xR&*~0%epj1-1F)owiyAup`??P7OzY~ItIY>4NU^Y!mrQ(UFg{lpJ`5Ps1nV7xrtXwhg>%`q(rKqxn+FuUV@fVSIX%)YYRk z;V*H*qTYYgjnF=XEULDJrSJ}KtnzJ=+fi2VgtaJuF${W96^4S=l z=dH$_U_%jz-NS1nwTM&B4iVA0&11Q0cdzwv`Sel?vE)PLu(@PL3Fbp&hMd`VQB&u~ zgu3S068Hh7-R8$$_!Z>C#90SExFyffT!x+A+=e%MO+`vC2wl8JY%4KSs%`HokLeQd zV4oZ92MrSPKDXG@&rXJ-d*vsdanv8?2M82W{l2#LrSu``MdYuY7nR%yHki?`omM)! z&B54Zwapfvz}OA*gEYU@-ROy*XE0XGI0^sVBzfl!MRus1-pOrVAzLxIzRd4*4lIehqTYP3+S_mBi~Qn)uOine=>TR)vCh~%x#Mm)=+n&cfsFj^z0D9b5R03 zSNQ$|76t6P>7ngOG-ICN0&cW&%p0OGbh1YiNnG(#Zt19@>WRQL>X{G6{ zSXWr`&eM&oijRypmL5Y?@Z7b)`wnR|-*ERD9p+ zTkiM11KbrOQG(c+^cz!-#EGBnsRU2QuzF{ztUw!fW3}Te;Di=u`{1q1Z z)U*gfll7D;pVndfLp0G{IppyIeekT*L>Fw;qGYB>0MD10?C`PSa-%CGpF3WYfQT+7 zhDoE`Kqx$HgMm>GdoqvO}m$5X+t@TGyTqb}i`hI3)X%n>mRSZK^D zQWNocP?QIj6z$ zaDmhw-`-<{@rl3(*FAF#T$Y029X-{mq$2_Gdh)`GtGU!Afwr5e=bd)^-}) z*?Kwry1h>+_6gEz!ie1YCzT6{nJ4xKp_p9s7H(uC(%X<-JXz^ZE%);RtFAM_V)e|; zF`r%m7#@e*1x16IHWD+;z~s@dc3VmBH6OgOF|uFne6i(KTk;0msqmctsovoYtF z0s0Yy^LxFwGAPp5A_t^PCuObr?Now6d|l1gdRbw3GOBMS{X-@~ESUr&1^GuMq=hpd zNj2k3bK=b?4Q%Fy)KjNoD>XwC2z=MBA=5&7!%vt^q_HIFlsFzo!6GJKp`vn$K499S zm}Dqbj@jZ{>zsl>%V~_fozbJ#&ZuowXYzMv#M9 zIgYz9+ur*Avmv>D6%Uh<*SE4~SMqJ#ZEihkE!wwm8k9G%$)BnMlNIBVuhnL>712ZW z_xY(#&USiw#m^l(QpZCaaU?-f{MbqS;=SULK?9EMI@n@KzgtqW$9*MrqmG%MXG5Ak zbcML6tAA$Cs~>b9ns|&sFs$ioe|u!rhg=zfx3i1;b@iVf^S%JL1`rJdymZWl_sORJ zx>>v5_#FF&r`ys>{3f2dblBsz2Q`$c-75stq{sfuSRWKqdflwuk2Y?uG7I0CieEUr zZe}*(jhO?R1uEV{)EhmLwt^l!PN`JPnR%m2=AZSk)iYLvIre2L$K3{;sdUU}Gw6V6 zP)J90SL&2Wo6tzVyzgVa?W5q3@{cDcxLN@^8bi^+4TL6c+YC>)PN^kTJD3LN2up)f zzpVR`C-+#Zb!&uSy>_*E8yn={Fx6@3?(;f1s!5MV-;f-RjnW92s-@F@7_Q$-Y>r1r z`|O?*nZB$YOljU!6YE)=s8n2+!3o;(i>07BW0h?jeMJy_f1(*9f=KfkLYOS&ssYLAC2zIQoqtqS#g6vz6o{qpcWmeVz42qh=QEKY3BeUcW;#k7i}jTT_+rKmI?UOG(=Bd**DIc zSp{4Oo6XI%O1_b*<)D&DMv#GS3_EbS(TpVU;AY1Q=*Dca*ArbgaFwxJl@{yp!lJr` zujIDdl3+vJ58Y@CO)W0(KD2M9-%DU)lcKfy(bgkCHUlNL`%SrN8Fr?MxN*O@A_w0;FNklpJudm*()qL4~L-H$e3<#U4 zBpT;HFUEOf$-t_?4XUYrRexSh!iL$pjyVQ`)Gh}?kwF>X6pd1_V_0=x<_Lc>XL_^T(ql{zr z4^KB4WccmFI0!#bkTJdfI*j7`1p-+>(o)>-Q`L`G7S(t_k6v4{T8b)#DqK&jeksW# z3GK7)AUh-0Eiqc6v-e>6+y-Mzd|Lb_wM zSZv4Wg&T(4%~74^47g%MKTecm1e!CqB!o(cy@{W;-&AgTxuMh^4d5r;Eiu&ha`F?s;Z&ytsl;TQ3~0u=k3#Ks*{=bg~|C?M8iu!@beEf zi9=t(dI=4-?5-bqt4lm1*4#t4mO%mh5AQA@2?pa;f)0(H9vLb!kvT;8N^=v*ogbE7MG+^VldUb+F&h)OCOi4J0#t5mel*+ZP}$SA?%dLEnwyivwexm zP2hK=r0I6*G;Z%9tq=Cam>ynW+iO+*9?BCwFhXW)EsF_Wc+; zA67QIi{{~@JJGLSC|}&T`~*yQUy%H#?nX{qlFUicMPXRi(=nb=%?*#thC9Jy@%Xq? z4K(2q{n`m%HHO}P?%xo2WBQivk#BKf!MF{H==gcEH;u$_Jhy{}{t|W8gtpAj^+sXJu9i@mBQ@l1dC0C)OGtblHSV}` zKUYxo-O-=*n623KW`FbMRQgtEl~BdQZA$sI1s zdPK*p@8=_D+}WJS&dq{!3_DM=%D@rta>{d;qty$zDt`opG84x=AlN!f`i|v z1-ZN4yj5L}7kiNe=_O=0@UXx46cn#6MXp}wNKejb_ni;o^JcHw@V|{n>VcD+0ur9E)`|2h*RS#L3mlwj`7D{ox0L4gxvbpp7Th7tMc|?lv8somSpbv)Q{idPJCL$-MvH1rQ&i%I~ttu z)Lx6#DDZ}}Z_*Q!vM#ye{NjT3NH5bCH3MXm=5*3T9XIHNQ`*PU;@MJ`@Y7#w>zk|L zUnY%P2lWS%*i+K1wP)4$7@-YhKY7g8Ky%ztgigtfpZP4x=QNHzlMoy0ZxZCcSL1dW z1aC|f{*-C z>q*;6Be}7g$0ztsm7f{57DzbI@3njOc%M2r*JnY_Y+NJfKYf&!2Y&mn-tn2`AxMvx zL^ktndZeC&d~~}hisWVI4pgVl>e`gq7Cj0(UFb$|vhGUlI==V~imp#A@ZzTEclcEi zExQNmuj{!r7A>r|c<2?x=xzkCJtZNCGL?UT&$Ez6zv%x2NKhDV_fM-o@5ms>>}5od!B1K&w3 zh3OX);VES%+XGJtF@2>zkK>QkwrJhfMZ)3OV`a8&d7G__H-I%o3LKgXjgjYwd-AL8 ziMY?Mmk)1H_ zJzwB3E8RvvoVoS3Yz%j%jw7CqJSrC_TT?}BJk07a_4+&V%yF!|!IhQwT~B^xy?CUK_OL?kW*SV6#Nxew) zp#Ir>vSIgcghTFAx;P#OuLsc^nHgzc=nAN%uICuiy&$@E`0JU+PbJS^F={37O!LZq zC-X_+f-{Zi^wka@-iy;|60Mx}HT>@lgvuvaA?x)k1Th|s(=yeAsV|EeIN4HiK!XH{ z_hlg|{Z@QF>9$Jm%GY&lW1h_!m%$AOnH#*$_;fk-9%LRxwCp*&IyFQNcS0i4>#6uv z^3GB{&TKhx%t$S%Sh7j#F#Y|#;2yubm`9M`QX&ECM9E~HBuTDwk$tzG+vh}car1{z z)PB&d{J!OXYX3D`Tf)|!-s49n*EwYu{P!*L|9Q-1)ll zob&`0FkDe>fUqr3R2*CQ2p#)u)?3eDRn#`fM3fd-HL#wra`?^Q-c7&X#2vA)mS2K~ z?4Q2Q=^Y$fKJ)2+vyNxX?WFO|JjN$?s19<7gOc`HAK;c%q^dC_^~ZNa-i=k={*bsQ zFWDsYn$1TpkTQN-{@ML|G;xYUKL|9PNoc1$bVP+WGm<3kfZ+Ol3cb`ZpD=lq%7&zQ zDT+p=ziA1(-p?kXTvW>oN-E6iq;n;v!WDY)DItenZrUVr*W8g0Jji>m@AGp=;RmUA z4xH`)#&+|w?RsNU3kc<-&FgS*SIuVSv9Oavb;9&U%YM4!F69v$o-$E;K!oDU%-7_==$5OV4uA6x>t$2)nLx3K;-q)M$-F?zY~!=f-Ia#!MnTq zw2ZTBC+(YH<+CH^t^iEzdStT|X|%lb^;TVK3@YMlX(H}-zmYFVf!lhD6&cj3I6j5E zGh*$NEbNV-GAsfyW65hwftnFi0>1ulnp32O`kNHIzZMJK7v{8QC+9(}mt{TQ@_dmP zH2w&$+E1L!^5IGWb5qJr!kq%49d(NDIolRWccWoa`%BckKW;I}8tZ6m4o~6+e-gA5 z?X;N9Glaz--AzT=P!B3IFbqc(%*i~g95cENyT_30E4IjER~U^URYdmt2&^cP7N#Xj zuz0j_-Q(_d&YRWct@oG8G+WS#BJ+xzQv5E?{~Gg7{^fg!nGafy9wE~m5f?355plfG}jo|r_*;?ICz{JvG}O(^68Y~0)Qu1%py zfi{+I12+-KPf#YMhx05d*%#+6=4)q)C0jSR1AVpinp}lG7)H9r%8XQ`yNG3dIeL^! zQ!S_Re#6E>tf1c|WVDj@ZCrDVJg9@p(V))ffp{0&R9%*2b)J_m2`ZE#KW$w~$(K)( z%>{KXapN{Ft5l`CIj~FSb9idIW8~vuVI43{M)XZicAG^%g-2A}Zv#o{<`ry33Q5RjK_j2)Fr|*kWMcPk?C@ z6sbn0;Ja&A@yWS(UrmPP=0Uh@@>g8~vaFWWv>qg>u#s;Hjr*_(NB_@MyW;x2rM=>> z{l|C&2?lkx3{E(yh*!O{f zTx_HN6nR|zPSMkr4a|G3uCUR5-Rk1goTKB6ZTuHd#GUqpAYMv8X<3(|=To`XVO;6O zJ0gYedww2dv}qQ8nRU58=c7V9@B^$Mu1(M@9NoB&6ZrUnyi<{t!E7Dwa_o3p%#-pk zKG~@;eadFzM{2{01-!vyr*-QNEr)=eakUS`95hPcs6q%mx zP){8pN=&I3@+?7#Ay)?3mbCfg8VxvZzaBU=-gD?IX4DFlsm|mD%aCfir^GXr={?>~ z?vlbQP^=UE41Tf?5=zdeI`cVq(9!Pf8Zg-=oa@bdy2Z6j`CugX73Hi7dT1&iY2L}C zyeKCW=NC=4r52IbC~TW>W=3z!!2&T3ctF{`hAlhY+x;*e*jrRH|_Faf?kwZ#6)>ZZJ;m1@hIhKje_ zdQ){0LitbxijTC1*isshUz(>%q-y7Uehho8D0#+>b6DR=eWFVUf7idGHCBNE3q#8fh2`ds@WWs#melwyIwfw!**B2>ODQcB-^mXn5wjITaYa(&;2u7|vI z61Isr+SMZJ@x`|@e1%xjdUfsvl~>6%e1K}L#8xy=HB$DZux}-5?g;GcMgK+xzp}B8 ziHtSI`Rx8uzE9X7e{hI{E~iEA92^$%iT>IqV=O|^_aUch8bbSGrqrBFi{Ks0i^P5D zKGM;u+Se=eqBU<`)&Kl7vLd-MN5T-#O~CH=P$BT5Nora?SlBv6Q&;!at@Vq%DE*^n zO7O9y)88!LotC_Q#6A1H8|M9^&DHz2^|Rj#9Sx^#u1PD)Z5%6^5UA0&`Ff0TN}A)I zt#rz@(&yOs?JI5sM<-RQZ%26_b~OBMYdHN@guQcAfBaF=l|R4er6iNo=dsdu({1JQ z90Q>i5|)MY*8$0E-)J*XQWw{;>W_dCKg6TuQBv#+F++)bwgo*KkHTukQ{YA7g>I(% z-;gToT{IOZC#?Hz%*bXs@y2Tx-@;hVkK=;uwD*oTU3$-&dOz_ToHfy1{KQjUo?c{4 z=iI#|G4j#+gmqXSUrYS_xPt|Im|~OQx5MgA=|LB`^sB#&`041`kDzyb=2{&^6r!SL z6yjeF8;+++&A%y>@bX;Wk+hU*Z|XX+79Y=czpYOA2+Q-uy!5*-VCmgffLmdF9NL zNl!mb)Lyp&IY-x#AN=33Cq>j+5+CWOY*S z$EXo)F3w#Zj&CoYy5DomppV6WjL2)EKdO5exAu6!8D)UGo4v=*5Y`#++OR-@;6=v` zn%*ChJ>89yI+y?_h<{8%&&W+=EvNpJd(av z+gvv8Fp|x0F{D<8?whfZHC@h&_l$>$OS!r-ulbq8Fbn;&jwmmFxG1YjW%@JCtm(WGw)fjU}X|DhI2SLJ%x*b+k*L5ZB>}Yj24!6l-0=@}u zmhp{?w(J7NW;M1H3?BT(Cj}x5@!ICTs&`536rm?o#Yc*;bC#1gOPyz(F0w3nY{Rah z(v(@R-#(w8sN7Cc-7`KAq81ybQF0q_dAps4`=R;EkW!i!j#FdZnXFhjxFw7;e8#R-ec96H|nduMon28tth1w#|YCFh0C_Yn# zz8iHfM$&s*qP#jeczXLkY;cSIv@&f?K92k4{e48X-M7TLSBEGZCcadftS~t83aa@q z{{6wVnb|$@Fk%0|`r_Xyc#yUE4zpOIE#(t|`|-AsgKzDe*y7e&6Jw?Xm(4E(xS4;= z+%%Utp7~6)NSyb+wz+qmbFangOVMh{NJaM#mPd+liw);2`#)NY%N1@BHHm{rT&AE^7)WPRd4_k9~52^YT!t4+7X@!1sL zTbrDlCVx(9GqyyhijkO@0*gJ9gr{UvmKFKU-u@|CzzU&k>bavEi;^( zSQ_0pNS-p*X1)+vT~^Rt>36L$bFtZX7|~<6m2iJp&^5|&G0Hjh$=$DaMNOvHn*z@; zzbe2v7mUV96HRYx2~;0e4w&#aMNO$&3B|pVSxs%hUGAkg}soy_irOFxGg&yUz zd!&|(Pdyg$=JxxdwJn3ubpvU~rod8`6hv{+lHLKZgQS{fx(N?`uv+;?z23!!SzdEJ z`an^M@d8>k!L*3LTwQ7!nGCZx%#g?lOKgD`L}GsRO?x*Cqtcrlgl#pUR@X3kngy@M zB(`2Ur>!j-RmbQ$44{H1e9BdmNV?79i;Gbk){Ub@N?W3LYBgCXc+5y%4EYb21VrG~ zT+lb9cl4A^RB7?NpmsUhb>Vwa{m(afJnzjFvJaedV;_e`mJ>hMsPir%lLlk)llu&)#>n^KD-YYhS!c+V;> zHtk6ay|5QDQvBKKO%`TyCV0yTv)aSCYJaAX@>$YYwQo@E=f31o9J;;VWb&X$OzwU8 zjSqPvVYi*0Z{una)BeQqUs%JH00ByQh6jfwTOBGk6#LYlnkJX79yZ zQsl>UU%Znb-(9`MMEkKlHEY0@#lh~4LB7Uk^AG z(>+gf5xLtdTgf(`81TE9gYZ}0{{vD$t-tS1UV7@mEmY07jiKOZFnP>$!dg?>R^G)v z-bus)qo>3-C(lT)8Bt9FVW7}ZYU@@4O7a!sOH>bkDSqzSnb%d*?D-Do+Xk?yL@dv@ z01|-*#hBqG*9Z1Cpn;jil3^slW}Tkg|D4pqu$GdIiKWNA|8@D|C^yJ$9Jw}Q$vxh+ zvrrRwv=rAmKnT+{*JzOh{>?OT<9DVkSzQzT#$z*YHkd=j7lUY&w<#ukP3> zV5fB4DL&~G)4#RCXtToxJ-izjgy<2ttIoCu*QquY_*Q-g$N)Uy<4MfBc9yUOX~V0%&E~Bn({0 zI{5O%JFMa>Z-SWt#>)T`Sn35%vgxU1?a>9oLbu_yjoR4PaU>H&Y+pJV^onJi4yqv1 zxu}o;!YhknAvS}yEyzw?A1oMJ2j*!vXd2~)31nt#rUnfI^wW*OiYf0f#C>(&6$}m> zFgMzpahLKN)KY|#$yFE>J@Ikd2hbSvIG@89!f#8J7cB8Fw^%tdSM3KA@$_mZVhvf7 zyYKcNxv{*fI-StX2F~k*n9ymsx&4Nf;ZIsd54QAO|FmWBHkhzJLF9SvBq2#B~F;9@J$%@(HlYS{P7mSFFvO|Jr-)lxcOd)78{GXs|7_?`ncVW@Fu zsL?E=2Ip>%Fg62_t~PH&4zp|4w2@@`c~dK0xaN}qR8t)~!hjH9l*qEyE7kVkAB^C76KXV2uPs173u6K3(GTZK zb?4*~pv|LqyzB@opnvAz%)6bya-Od%#xO)8U5_Bc2UgvK3}WZ5>GOLX-N~8$8$3TQTmM*Ltd%Y`##N%-j3AI=EhJ0ilQsrP)+Z}`B1qS0341V~9> z0!uGj_HEo*ap(tWu;a5z?(t+77!QIObj;rob|F`Su0*fb-dLZ zL3&5Ma|JRBn%SgIu~B(*&&q3zd7gpw-fLGl3$Nd+yBz0{uJ6+2BdMtiso+J?WKcxH z%mvp9V&2kC0=KWZ6-M$g3p8dhcOeiIFGOHd(#nwz40)I`$Z92ij|0;u0~YynGhT9= z7c*GR&zIWINerWuS-H;8K9HKuDQ3p9hb+5QnHUmQ?vkp_u&}}a#%2Ryt4mgSW0^xQ zr7_vpB$K**3}*^rT8O6HnAFW<3>a^iC6tV$-r%!9s{NUpXTC`@`Y1dpup$+wB`VH~ z2D>3}6V{qedBNM43h_pJJZEV1P|1e5N%neZ$~tX zZpA{^p1TtVvdj6v%4W9ytScnq$EBJ^NWkWyTLFR4%#_g;**A2H9EV+%@}cN-OiPzC zE~AhB>#serpjkqjw_xS)9jmX=(@7CGa*Kw{6SlRcZ9V5CvSE`3ny!!apOer#ZGID( z4p@h}zgNZ*=o?25G&cUD;T;3(yPZpgn*PJ(ei~lu9bX?R_AZwZyEVfv4Rnbfwq3`| zr^R#9@w;Dt_Dn)$<|Zwof_-YeBufVMn-8R34XXj zK!(Q>ya!lI@@R~9V0VyYctRO5OvRSr!F)Av?@ni!4;K_Rjpllm5!BYw(?ZmxDRhJ4>R#~*O*pd;BN9-@fkt+exYC~NNQBA zhUv7qDfgG_zLd6PAv#jP0*vZbZRyFYUcF*DqtcYP;oaxWa64#TOOcWRxpt`X}PD-3mKE^LNg04X!?J)=_H0{d1hBxs*kvrONf#1>(y;0uDx z6V4lX20-&=v`RvQ=5(qyk|s>ruJ{O(O+jB*2X)%n*=;LcXHzBJO6GpflBD@oGc0YA z_WLVqLNDH3OK~at2~17~*YO?9p}PN444bXQ>F=O~xkeOYX}YZC#<{MV+@vY2O4)-dl;o)*0AR;$D5meFC(P~M4W4+TR~SmI}IN_;g`a~Vdl z@9zV2f6XLU^?ZS1sk&lw)^XC>S8bfi01LNnCVx!JbrqIqxSl1DeC8=9pX2oejXqNDL6v7=Vvj zGZb51#&9r9zdHvbzZ^>U+ zF3vm6PX`9~=JmJoOGu!BL}-96px2*mAr7!d7aJqbI6hBgbNRR|C4P6Wpi_1@qTrt_ z@upeS?6M=Q$RuS)CMy-RH&?I!qI~^X;T%|}3Oo78eu#PTJjvLf6*T5G4cd1d(3AYi zv#}u2Z(%HhIc{8HqS3JLH_a8?gDz5`3njb&+q&ebtr+jN0L^Xgl>7QGpwf{*??3-u z(Oz2;Y`@f_kE30~faU&e^r3Nyd0x?NyYdQR_(00=Ru)Uow7ixyHpKH(C=RPqdpX%n zM>Ks_f@X6E_^KD!9M;RGKZR#!E7L=hON@b~K2L?f)lo~9N(jSB)cGw%xAk;3uf;yj(iEm)1 zKcQ<^a)L~XYTQNn0n0q|;Y^w_M+kk*;#QP7cU)D7dXS?`5KHLB-c1@!%`f3ode5XZ zn`W}&mexyj6G?yk@}$wF9uQbOtkS&E!~q~o#RiIQ;^+ww#t5LD$(s9a#9xA^OyEx5 zdX))#ksa6TJ9f=^d1~`s-Z{>EgR|*P61}D83BDpayQckg!?%rkhAXi_Iii`p|F-TI zh~iGgcHxu1_wPM>W?w@&=Dx7cc2`sfhN6JFTa#9;nUy1%u*}vm<&MycPo^A9D_Wdg zGnwVH8FSfF=KXlz#Bx&>+n?UV-*j=7@@6xc6&#eM{bAk*H~u%73J`^o?etA~6~$bO zt70-&#Tt$Am7h(Sdo}$g4vH5g;xjyN3>3_$O$Lz%8!EZU06CrVwZ?=U?eI{j>uRGx zd0`q8CMS>vVJh@@0n^l83B4?0vQ+dX~ui zg$W6tqx#d7CA_VC)9rV zT_F)1=@j$B*x@(jAqzg`Z~#MqamKf$45BhV0YTC|YpVJ3k#@1-G_`mNQaVzm z>~`9;t@dh7uTBt?N&=a|G`xn>B@D5)Wr7MH+6(!;7xTpipfxyeOJ26@P2{gKx>+q7G8%MF( zSO5#+$ZP?&V~{p?dQw0d@_Dd`uX31m@ewk)HR_+c1ZN(gExkD6yD4&D{P@}_?2Ra3!Am1MRX+*^ z3+LOgmC8&w1(8qRBER?3sXXIxu`I@L^08rFrv#V;8CL2ikjLXA)4xK=?DZtDbB!rA zPZ&!BOMQ0W+aQ49`W!f%MvRByxTBRfjPFr-jnl&1X>(e_Ae98!b7s-fP+sVj!inW; z#*ra`*cY}IUu(S+HV}GzaKkj8Myx9rUpDXf=C0uy2{4vnGJ)U=9KyQ)Y@jV##mmL3Q zN?&2Qs9ESr>qgtEt!EBT-?I-Pk{veMGvEb`jWa0D{HS9pvz3(slefMc+pOu(M-x)3+%>W=`{v|l z-}&R8eCy9Z_zi2O|9dGpbq zzxnu+pZ&&n{@q{x<(m(G@6AUazxnV_-+cHhZ$A3|g!GPrmcRpZwd;e)`?ta@DMX&DIK`*!mzt2PVdI zUO)SlPk;8?zlyp1^uyo$>970&qqTDfXn|CEN9E)830OE*`t3I#{hK!*|N5Jc|LV=h z|M<=MxgdjIiZgL`48WG^e6x4XCJy% z%cw`Cf59{i+)Va>(+05r;mt>w{AbuNtVLcgZ6L23X`8xK{w6>BgFpJ|Cx7+R@Bd?L zm&xi|SFq%yNo?O+}OWAf=%N5??3s;KmE0z{r<0j+(4o~`KRA^>qFJix499b1EQ?@eedP<|1YigS zAF5akW`8{n`7uF2lRjK-$N_azrc-89TUp<}WX;P1UOsrSGdyrE_o=K5gvEHim+{h5 zvRWs7*jk^v;HFZvH6D$!t{9ZCI9^sU#kz;Rl5*+-7^(sEUIRF^fRn!Px0`zMZ0ZQ^ z>2&?@VUXb%q&DKmK5*7bh^?8w6QMj5tl!fO;hOK$Q~nCMVR z#dXPD^nxCyl~m?_%<=tT02}vU$D5Y%IxF!{9SMOWu`-g)Lou8IpvT4njtJspjw{mO-{gueMJE`A(bT2!&7}^yV4VwV;Gsq>yF%^ zzRUSh8}NFp05hjDr9odHUz{cZA544jC%Yz3|4fr!4Lb+!_rR^Qr}?0hl4NG{;us`g zpnH?Pw&$1v()9d1Kb=ox2JC+edqH9fPs=?RUOTvEFBt3)GB6Y%2rr*QF;5Gdr`H(j zl}6@8T&ZR|g^u6%jh@`sw|#?SnFa6a!!zWpp;NUCkz)hG;23amEFJ*^@a(A>gMy~I4l1Ifrw7F<+VQ9|#Fb}oM1njxu^^+p zIzWrYbta;VI{Q;;bQMsXvV6OQt{Xt($`eCS=vM6t7Qj@?zT7iek$FWxI9)CEM_6TW z0F_Ms6M4Uu_ZCLyar-|cPVUjt#KX00Uz%&;$pfrvsCK)7UA}Wol{yHy`@9gD#{gKl ztY22IhLxDg5h)8-@Jad^i(aek%v@7Qoq(!nwuMOD z9-K|d_dqCL_Zoc`>Mm!*UNK)E3uMGYf4+!|y*W5tiGw{dT=^mi-&`=cVlD#K@HSUI*aJY7W(PN50q#D=UKCDvfC102yHcGOS920#<=j~9> zd3pqpx>9_kW=sil`!;+;C+E9ZR~B{rY)}w?5mYsknwpZfG?dvp&XJ*bAc%?^_O7$9 znL$xXfaldQ7!R_kblpm#USERPf}%0!nnXbw4t)HTA)n1T+D!VRBU9?ty(1I`aSN2X z;}c-4_QR+RQ$K8zH#o;GEt&!rJgId7bkpd>{c{0VjD+LS8MKU0o;)z2{q7FaFZ7(^0^2P11I5p=UoiBG<&}Zq zWwm41%!?wa-hbBhM3XbZu7@@BjrdG%eAzcUnXcDAHgoJ4`f)1n6`XaX%5G()eNo_I z%rxTr*`l?a^$mt`{FAP0y^t(+&yQdLq}RH}L*u|!vbU2M`i3!hR(7p#Ho~e%;md)8 z(BtdbS9%{srmXiwc^bNV^4PR@t$W}e9}co}zZhLGX1aT4-H&sf$}jkUqvwt~sIHgpUzB0MVe-2T)sKpDz@>?*1Buc4Zj+8ip-v^ItAxjr@-z_G3 zK^I_N-!Tf5Sp$5dl-GPOgXrbdyNRRBjVEjH=zH_F1x4bLsj~OF>_f!fbGG#O%5y6? zVC+v1;gm(cCg`zb=v=oYcdU;Ao9{VIw*!v>4x~eJGX*R7+l^a_HTkndGb>Tbpw;qoe=bfSKx`D&aLS_d1G_EC64l|7v7^rEh83|~!0 zJm25hH+J$b{qTm*nS1F3_=A{jSVpN;8@0;MTgEqj%8RjyjdUBYc0j2(O)=IE8XZ+s z7Kpy*8%cb}aEuG+Mk}rA86>ioO^R+V#rrF!nd89Ji@aY>=noBjZ*qJ+ao^SVSMdd% zrs-IkS-7D$?NN}I`90K)ZYH%_cXUCNFb-Lvmlq56oe2<|m>|qofBo(A$=-h3**ahZiY_2>CVbA(S-<|{&4w>o z4MhpwJJu<{froA^Sq83PrD=G30c0zg@KySgnCyeGA~P`+Srnh&-gq$;zj3bktXEF*t8%wFZ2s#7o|MhM^&#yk7E<=HUyn_&?E-;ey@ zoNQx0a>Z-oT7eu{tzT;OT`r<01Wvv1WkiZb6EH!qtU_x}p;3*z9FoQFO;ATYnS;{Ge!9!wtc zUnKLFb~{!)*`s@Xf^$lY!h=^%jAwbxrL^N29{aA z{uF%f-gz$WkQc^14N5dmC5)R-MHRTMoadrAMt$4Nv<2eK>(GbZO@nqXT)rs%TogLn zKAM{L;i$c23ApC+7>xe8_^G_UgJ(KKqYlQAB{n#Q;Vk;bzG<9s;0^r{#)nqx4Fljs zYwnu{7AMo8t$Bcr)rrCO@6Ej9zIkYyduO0eurjocY-@jLorzX^j`CsRvF#AJe7Urt zqGPZ^CAd@uDFYG{+d3RtM>2O7SvnY$aGlY(t&J^ctbTpE%%pE^x1LsvX)QL66f)uS zk%65>JZ_t~y(81SKevUHtk2q7GJ*Qqx6Op62LcIf%h(bKtejJ*qdn}Q#+Ejq2r=ZM zWMlClpRF$K+gtMR{bTz?jza%p$aBsrdtp5DL-WvvkWl|IXQBF_W8tRfvBh0FZXS)A z8}KHz#u5qlJR7%2fowgq0@L1}2^eF?_K9&$tD4Wv2^nGmp+9O4yUe~BYV6Kct)a%5v+UXF1g8DB zzV-wUJa0sg{tM$Lop}9o1T29|2 z?%hu(NHczm_@SYNK}`N$pEopIj4-3l;l|R3CP`VxKjn`_)y+oV**{HyJsDXA@yLq* zFb&>wbXPKp#MvA=`CF||zjW#Yg9Xf&Fu~j+cW!gF*SWJ-@>q{vbtXH2`RpcxLFaYl z@~QE*&TpOSuH{8mb>|*?Fb|CH%YwJjYK6gRoNYKhD?a>oeGs5*rVA-SnA4Qi?k(Sf zblCNfkHK?Ew`S67>iY-&xK*sOaH#P4*_xSFv%&KEuT3V%*;ofg4)AtBI|t>+&06JX zW5XyuIK~mzgn4Y^+%w|Fsk_`{sx+_vsIoOfPkJ-&u0!)>x9O^lawQqhVGPyl@0U4~ z4OJzN9}8*=tz~cCqode7ki~KF_pP0LbiNyEA;tgab^fDI)Ww$XUjK2;U@G3r-;!vG zu3UU@2j=QR?%l!yR=KeemwZ>%G1YTg3sx^8ts)<{Oy46)Te!dBwd}{&;WpP!Q;bpRf5Q0AG1iPKVRo)qu&T=x%ccC~lndhNnBzbQ}BE zHaBTmqcPfiTk(3Q_{z}Nyt1lTI%uu6NgO-F4N<=8n3scf%ke0=`E=(K18Z1!CrwBe zTY62l4y!wSZ)cXr6jJLe&L84;XTKsxUvk}orYo~p@=Z# zRp-bbSXH$HOK?_I2erUt={>ff@%$cH)G5|Z7WKbAv+jms50jL^D!)V*Cx52XX2QS> zdyN2F&t+f^@9C%}O5v5gT8NX&W01ZnEl{filK|y4rJ1UkmQjea%A>~)Di7MgCcHb8 z@~*gf;xK_$=j#G7p)*O%w#zv+Q(*KZwm~l_!zAcSNwN!b`ORg$ouIiBaiO%VSOKue zx9V(ygy?54S@rV+1_FEB^H5^Vn~F68=;J2a7$D1>J$czfDwc0q|M2{^=2GKC^J2Px z0P>}?-705QR5K`ad3mRd^BAK+`DG~}CGc64fZ2vpS+=j!VTPRAA!`;(#gO--hs2v* zk+&=i%2%T*P=hTLu&br)W(BeMl6RrJ;xvirwm3-OMlYvR*Ib~;8jBqCRZ6k+lc;R- zj4MEr%6vHgt8*iNb|8mtux` zrZ4^Q7zOk8?Mtn%4`M+oN2`YiQf*(tK$b0d^m&G7e7>|W^{<-8$26-GvzrB9r3h4k zwyk?|Sk!U}DirZOPtOxtkK(7m7o^4FSjnkg zK&CNWffZjlM1$jK3e)ww#L*JNdtn?ubp&%uZ@8A+>#EbeC)79*Qudw>H8fC7g+lJ( z7%i`s6@_#FkRVqW8MHE-KDPFeJr&R=)}eDHRbgO|ZuD_%wW2s+t^9s{$JdP@WY;2L zuc1wRgSP6oh$&gwvXHEK#-&-jg{~hW5d{6gdUTtS!gJ8PV zQIOBqqNsqJ1LmN=gr@Z_G6(ziM6=M-2m|*Rz0|dQ0cjXL;&tq(EGz`@F=7p>6x{i2@ z4BLakO52BI`L@-VOPvRpMNLO!srW{@-M1@4N+r4}iG|s(j9`BP54WSvtTHu3(3wEU znc~Yf1q;Z{X^vT$JXhA1cwFWiw$ZeD#|Y9H(~RotBHz4dyuCt!!%O?S0${;O4lxLyXD=tBMg6(V&F~X_Hqms+DR>5QK=#8 zrG&#cee*ir2u?U;2_>n?XnF{U@5y8!n+y=|2!tevJ>-)Rympf7u5lL2{b4~5C`1OV z-mZZs>uGTHf;B52xvDEuT@^3<-@PQH*|1?iAR*0;g++u%glBlTNBK|0 zjg(lRK>{Jo2C+dPF{OU3rUVbvYSHS&6ASV^7Hrteh7Do`LYfT{i&=8MbIklNBJ<|G zRV~r4D{o|m*|EQ4X2;CV`M&?iw2ng=mUB_TI0Pe+$RrN>5x_H`-Z9Fs{|HV^*nKR* z8;KYPiMXyXN+zQkPTS?vc)1B8kbQS1$(tw-v?2+6zrNevanl442HsqX*N0Z|uqVMg z`dFm+BPrunNsw8jhwh#XaMz2BU?d}kfBvuR>L9l_{N9tiKIDFgMsXyIj&}Qh{^-L8 zI1%B}CWCIEtUN-#Heqe_aVB)%=8!c^;A2O`18+mk40`Cki z*CA!{3p>n{8PM)4+zPl%d+Mek9+apGYuLd$L|~rO4S^AXA7BG1Ks3uBo;T?LiPM$a zycE{iK2mTRp^XUVb#+pO{h-Pn^Wr>Ov?u^y!e9ClUw#0WA&?x~Zl`WKF7X)vArX??*mIs0nX=Why5E0^iaPsug;5*{2WcjXa%Dfd;R%-7C+?OID|`a z*}lj=HBLjdifmV=SE~%t*WBhmFoW3$0;M? z3W02ru#+IA&U&ccdHN&<{t-teB9aOm44bO_tRatMaA2i!B?`{cIsNcE6g-C7oah+E z2T9i>)c_=9*%&n8dA$PwHqlXsud3sN+GzA%wcMW5=1Ldo*~4{B*%Mcjy76>7yFVgE3SOxIIik^ zv&*RDI{T~+_i3c?OyN0AwFUf_K?Lp_?Ymk=8Yh*4y{#$K353Vc8K^s;TA8)9W7wTHtbx)5oLw5sebog@k3#@!!yCWOy2_V zDc%*)68-tL`Uh{<-?zL!=s}bRU_hZj(8S|nw=>PL#RMAo566z~;ZM%a=66&2{(|hl zfRkSBe0})XM@WbyZ$Srf-`X$|@xCkQls0(Zi=42Jq)6zrTFlyGkh*VEla>J~4(peC zey&QSJ>qSas%3MRxt2IX)Y+LKgl7eNsGv^iTGYf2M2T7bjQ6df9phvHA{O9j&!jcA zcDFJDmy>vm#L^G*ryMH+2(tEFr?CPdzBYV)j=ZKEbB{`?PyE0atlWRBN+@q zcan~Knd%9E9_kE4rrhg`rRg{~vi{#MByZWto9~Fdr6))67T_=eeaJEfGa`C|gH`zN zp8b%fxcY!HDNVKFllkI+=}%n+PNYAJePhSpkuiTdTAJv!XH#{SB#ik}=$PD7s&L^c z%BDkEOLj8tKX@?B0P9AE)~kgCT*v`7P+e6G1TA|$mw_22SO6@`aHCMmx`S?n@3E62 z%^6*QJ1)Q-wL)9SBqw1?6>9#Jwq?2S_zN$3#C=$<)|$D+1N7SKg@n2lIIGwI6H)mF z{hlnqoI@Sb^TnWXfF7p5t!Nw-A1>fDV3y-J3c}Y5GGo#+_AD0x)7At_(COsO3h$@| z1OM|d0dtv@fguOr`v&7a@Il6;#e4TUtGRA~7wnO6$WBING_-v4Fo(-wm`&a3B))u2 zwEtZYLiGOv5IMH=pPqiSLHDmrgi!g1F}E5@ugbS9*=g6zSKljZ9Zt_I@J z(lmxc0INw$647}saoxasR|asYopm-hh!e^-z^IKvUQJdyldR|EyeGq* za;AreX$1b8?fRUIpDeczucsOJT6X$L2HF;!5xt`F=uOwJ!8( znuvhp-2(nsGA^0N2e+4wz)CPFLxy8pzEeH@DxEIL+mXzU{zkP$WX!^^va3aJ%V^pP4jhu$F!V9a2gg9wtEJC!wpU-XN@N^x&DX! znKsj&^;Ock@UG8uj)VJ^#85rr@dBJ=rjS$Df#IC%5R+_Qn9$7E%>nu?UkCKHCw*eR zZq@Oa9Y(E8C`~X=Q=e5s`F+IH&c5rYk@*3z*f`DRIWOqHk~8R|q#o*eriT8Sp(W4i zRClK9NbYS`cbfH|(~xfSno=+bYQCleLbk?JK>vG7NAA(DTM#4fN5ALW(XR|5%g@RP zJZjlt@KC|z&9x)uwOTRLify22i;h}bP_0jZJSr{PpEk-~i_<|JPyEDEa)JV3*5yXSWgO}b zp5G#kjKCvYU7k8&0)e>+KaDIeaLzlfOZtQtoip$tHn6Opz^XwtqV2SOM%eHbXfAal zJ;wP<(eW{X>8FKDmI9uw>iF^_!n2VGC@ulQpaCHU_AHS8(t+qV zqc3r}i7#;bjSa|^RW30~Wc^gfG9RG1TtB3< zor!Z9A$Axft_yA;*+q0YDUwX4BOM9~K#M)N0a?$ZVi3PKD`)BZ%RU@t1n)6|L%Z05 zw3dY9lDuHtxOCjMhX`(XWY-!LHvoYP!b31JikKWOE5#mg3Tg`9OOWX}F2t#E-iT2O-(9=u8x3;D#oRWC zD(Z1Lft8NR8IUFmJHeQy?nn$qXsR*FzGSOa-;NWh%9_!&R0l+T?aSx^Rh>%T8IKe4>bRS;0`9H0r-`k|=tkV%Lg zb!*>-Z|q*=Wbl%qtlOge*wv^;)>j~|&w=i+!ew!PgDCfgTX+-04xqKH>7F};d^aBv zE5)R%B*l;5>7Pc3od6We%a5h~kq%eRro%=6RZeW0?@I(rF#NPnL+6oc@R3X=GFS4~ zQo0Kt`>#c9XPQi^{8Z}Jq>L6p=s5zzlHo2L)Yo}+KXJT>u+xE~oOfih{mSQ8E0Hc- z7hpDA3EIVgZ*^6OEVi%DTkZ&5+vOsm6M@SOD>Le;dcB9~b-&vvgS&_#m#;(*9UN}z z-~W%Vc7?z27*F3i(5i@NqirYbK#Ue*uU9O%u66QY5n@0Bb3I1gLYB?_wBZ6o8$gaY zRBdI`K>(+=gSw~&VfxP>c@CM>(IN(hpKsA2B)_6zWOAxkx+GcnVdO-ho!&9cE;uX! z>T|ayUbOHT*xC{ZvWj-!Vq3kMIK(qmXw@%2?%?AKzJ&a>dQg+V)#mOYC*^psq)ZW;E2$#( zMTSz@J(In9r+;Ect=F_F2!3H!5sD-%Voi{a@)FQB;y#hkbJ#%NCE{BRF*1t;!k*wWQTQxJP z@VkBWs6U*t>QrR>TV(zm^?$bD5AvKTwz%Y8gAP(rv`C#O3Ba2Xl14jGnnW~aC$-ME zRFFX-WkMNvp@diwf(57|;?$2U)#QpPs6ot;y3p8!QhGi>g{|Z7{sS6JK=%WtEDk}u z>njiGsxXdemY{@%1EsvRFE4>V=8*FMdJiJDlihr$6RtoDbZ(b5MvzK(RJrA<8S` zxArPqANF)UxzG^NX=I)8dl)Q|HQrSxs3d}?Ax~@H*zlx8aHC^Ba3CSAA~;my9u=NR ztvEb7`!2hp8WVZ_9}z*NR!|@lslqlnAD|UuW$r+Nj*~C@aYG^<&NfphBl!#XR6i=( zfAJIZoWnE$X*SJ|P_GLw0TU7V_Z=DIxJo%?W!YSdGqVE^&~vnV6o|Lbp_CJuI~X&K zjk{qjP##M8??W7pX{EKXpFl`^+VeYnwcX;K<&4Yi65x}xG}Rlh0A`0tEeB)n8;u3j zBLW)9eDy$D)!m3ily268>FDbicFG!6P%|J~xG~{78r9C_tl@*F=+q8h>}fBy+3^Hv zilfaLET?1!jAympONdQ97YDz{^-^dbt5e>xK)`+GK6Zoc_eWq}&(s z)TUPfT0fou)L+vF-0kw0mP@<)K|P`CO58bbnU={gc?+ti-DF@#tPNWm9ENcg1qAFv zxmN0t#NeHkr$AS<&%Gdhmpzx$)`(zc4B27He7NijND7^ttRC86Y8s$wzHqI7LOm8_j2aM+%lkGOb7j7H%~O;kelL>bW`UC8;qo-qhX{qXZ%#= z=7|?gdkT2l4dVKyq8x721%ziHjFiKh{RH=d4X18Q*QFlFhx3z7CxAg~XI%4UU(x#xf4swFVdTwy1+d6z)^W!4TBpCPrY20{pBs5m>%rog*)PL9GBSv1a?)@-ten{{;=IuDM@m{@%6&Y?BqrOCYZ_29RN zcg+isM5%H`2l1TW&>p@&KA~nFs2&uOk*RawyV6%X&jg1uL^w6`(>miV@oHD^==?&a zJvHx;_sf88_C$+yQ#aRA9jkGReIw?1-yLpsPwxk-y2GQw8;a*G1LP@~o?LBtW=-oe zz7`^zZ-PI7XdpKE6Mt#Q?OR z2U$#3Ydsc`Y33PvdfU#y6olQd3pBpXJ8wc%9%a2=Q#uFxk8YYgCL=X z7CNeuPW5Pg{N;xa8qZ&2{Ijs)Yk zB8N{t@Y^|d1@m2jW0qO#@C^dWVcN3cz|WNUUjVK_yfRwi!mcx~ju#u5oHd>A?eBAe zd(GRf;TIU>gcr3FM+shHZ!-&I09VpsrzSG0p4pv@Y%_K`*&SDVgzD=5=|fZ^P&&y( zn11wrOHR}aLI7}ZPs+GTS-zDwKHV!f6$wQ`daoY0nWc0O4@;i!r1$db^Q%+8{5n4z zUjByE$CgVSyrsNSi*juV=Nxr?-t7CaW$teFaABrVoyT*?z;Zn<9aIH;h-D+nf0BwB!r$HTbK z-{-}U7^VzU=-sxtpVc4k(iHXH9udWLy|+8WOSpOwb@Z&|`!}IA|`_bWN!hy<>F{a39URO?&;~t%oyNfsqb@J;O5x@*v!RH{r zUdg#N6E=p2zyq_kPX0uOA6ce-s13t!IT2>`{uv z4gRHgoC7bm&V@61K4PPkz)Dbd(&q;<*2(mEl$Do^VD=&)BjV-94PMO!3o%#(aoBeV zn->QMR984_Dp@swgD8Ft58xB-i-#ugoj`V`gAANMb-yGC0|PiXZ^Pbl;SXhGfIica zJAz854~E%Bj*$vLd8NXgWI@LlGHPHzLo_V3=L-&$(kj5ilw??+^Oygoly@TB=IWB* zH<}&f+=BCaUQ77B9J6IHInc3fOWMiru8XwK+u+K;VUIbPV<*+>o@o&^x(I_lDW20S zYAUd~=tRGvrU1_dOh`)Rn+E9O5u~HWCc9k8_#0#}m*uBgHE zSrr`y^igILL$NXrOjh!MxL&VCd@GabOACDoX#L-REJ#*$zUsJ#KXS-g6gat}AE(or zegYkJ?R(DtbfVD#IeO#6@sNIebQBpz^w%gkSnS?R^S1lwT-hb=wg0zpK}Bjwo%X4O z)n=c+PbRDx>T9IhFlr7dX-Bpy)}n9eXJQ8n2Gd>OJ=mcRRrJ}@0zR4L^AeC?{*!O=pC*|+ZX`0z z{>-q-3xw;EYOC8iFkg{;3DDxcaWu`>ErYX<67U=8kjUENKA`WC*Lud<)>uL>2t55n z?_uGpMAAF{08&7$zq1ZlBHyKYN5sf|G7;@cG@tYzUTsd5HBg;b%N_s8s^AQd@TE_6 z5)xkO_AOzYjOJvKjS7FGO%^UcfRz6k$@g?-lGO7l7qg1RG9PDCiBW}VLWP_rk~B<+ zP0Mx$axnU4F3!7=e^00J=eeZ5rtC35R#P+T5i;8DPmcb}zRlBl$6-v9G*1eIre8fHob3LntlC-+HwjU?`IQi+_;f4-K+q~!etRv2P~~4 zz|VGNhg0EuCKhyCQjQ0MEKA%^kLT-Mr3T*%qre`iN{83e>D1k-D_d0U(0}^ae=6kD zCwueb>bU+ycV5A0L+A5qH_U~%=I+n7KmT99_&f6ijKdy2+V}w$w(zH>_CwV^0$l?R zKk`C_NFniNyHI^_b$2O^Q{a=Wx?Km89WKNb;J!Awx`-p)5z#rul_yD~R0jz9R&21K z{V_3AVW*5w7)vD>o^cIu@S>2Y6O^Zs_LEuZa8=^ayNhB-pS1$Eo#FEgf02G*`KCi6D^7JK5(7zL3!VsE3b_iCfoHG6i6+n= zH29-^T<SvHT(mG7* zLI1%H)@!JjfwHvG z4o-lGe5T|X-t7UmT!WFzY4YP*QQGP6`ZtmmI_5K)msv;EF}X6W`ZUD55~KGMMQW^r z%zpWip@MO{Li%~;jo@?oOzyAiszE@j?t1;(XUQ@6Rj2Bi#{MS=y5fdKZ3o}qmvr13r*3E*o?Chm0D+|c>^1)^ zBC?(=aEM}c0yFb0nHnXN0B7F25TD+sHPOrZUmFNk=JVP0kad@nT?K8}f+j>c4M{Gx zAkRBym2>x_?S{$t*COGG*wI>y*id%Tq{XEAa#=-}?{bntLW=ySih&OaNaXWjwVCzH z>-~fEO57Dyvqs7<5nq1af4xKM+0Q#H?)q<$-{X%F7 zC>Y;9AADKtxS(E)LdS>jYS&vNWYH}j^?lsv8wtBc6fv1Tju!{Z zz)5V7$WQBXL%3du|(O9`mm0!&PQ442EXgg&-78lu<5V`HdAgz5zW zEDa1tV}hAuFByvhtyx}d@T7t;YlM(*tEz3*aFL54198j1M^vj787~qAA0W73B&Cn8 zCMgI9Ps!5V=IwJ`U7ZwiBa*u-vJx|d_6e4fE~l+BA>Vze<3RHW{St(apn<@)sH8m} zJTS*X{$m8E(W(6Es13|db_Kvi)k&3E;iw&Tbyu`qjn_;5Q~xXbfr`5~KRd|RGz^_a zgh7HeF9++q|GrS@aQ#dFWHEh3*SFKNxAhI&LlCshkZMe)&RCeO0&;``{(MCnkhO*9 zFD*PTKjZ+M1>&ghg!~qh!hd>;3A>)h|FU*THpCCbla;R){D*F!yo==$~k5{lkCh!v~rh z>&l#1*Wgk_sQo@a0UKfqj0gkNk04+)UtUOg{!RX5jUR~Iln$(`m%l(DJsrEW0}?Pr z9KD-?X9F${OiP7udJavQ$%veRb_Az40i0XIKdf~ai#4l{6*eO!)K`$i5-t5|B|`8V zBp}2(_VhpGHECzf(5rZzVi;`m??_Axu$eW#^9UXr3t4q|HMEaaONxAS#+jG; zUw_`Jn9h8=s(twZ^{L=Ih?jIon>WeTP4Xt4G}I}fM&yhto9(WrR)id$m<*>Pb!lJ< z1v>L<4NDx3eEr7O$YLzyiWi*q!7eMc=T`YQ5@xMROtj#sk|-Op5n0qzenfmLf_Llr zc#mr#3*(Vj>u(Iqmxwqi>L#0QhN4@qbFPu6YvT6(JeGC@Z_s8sSY)ui{P6o9?BD-z zeEH3Wg_sfdXa9~nD0L77tReh$qu_3YRgF@ZY-W(+S<6yDufm0dzB8zEECbY1z%7Cb zRAsNf<2ISzcIUmF>J5du^}^s3reZUp3{_8GkCh;vR8D*Hj3tyX_=`;j2k&;&!dGfS zC#RNmaNXerPNbY)euI;+eagn;6^s@7R?_{6dRrkgS0}BTiA!APoWJ~)I4vJlJ(W4F zUNBiYW^z36E=~-%D`y*w5@N7Uc0=TioH2)0i)OSS~OlGN7F6w5!gy#ShY4!#Mu4rS%K|gV?_PdeGNpFwj28s=c7aI(=RmgH>gBfxeweB0RL{*gPL`U9 zq*YaKGSz*YZ3ptX0rn@~Zm{!1FHXe#xBv2o4;nFq#9RuSufjDX-9Xi-p>=u!rQxpI zazRuT;YVyY9T2ZC1uhmfl?d6%@KvW%!zxoXWrq{)W+Qmt@Buhc*$4^w2tuqSV%f>& zjQEFL@;uSL^zkFGxHs)v3F5EgzB-{xKKNG^=jx zR7J+2Gq~^vjKllH2a&gofRm6WOJ2zklYw9g5zh2H@Wz@~e%lr7%ql_YMzn&<3{T7* ztuLXU1Xd`6jUV=4KQhvWl)%u`4%rsAaI|byf$L3YlGqf`?Cb2DvA5kfc0pyh)cqFv zJ&_;d>R)UxWN2e&8q6XtulA)XwkP;4yrV6lA4Q1;kY1n{(2qN9x!6G{FoFj4d|&Y; z*gM96Mm@b0mrGCSSOX zbaWXQBf;Njw}37?^M1X`i?%PNRL$NLfl22^GzKnfQtB`#;b;)34ZLlo)1WoG$>?;* zp1AKDjMPi0kbvb&804sVov)iD|75<>e&fAKME{25fmxr8=Z`@ z5c*R61*}2$|NF)^_Jh=NS$9H-Wu1(zuh%^mCSAMc%M$gT84&p~X^yuP7%i5L=zs&D z7;_+ps(!3pDMyF(4KRo14_y7pN*ad&Z8)B=2Qm`ZY>i+xwt)(UCNnIrx;eE>k z>89&io+lVzOmH|BueBz=yTiY80g4lkN??^qrG&e^L!-cW5W)Qw`;8v*<2bfF#`jt> zPS|`EWySaU@W*~^fgecb!8UuV{!vI9v&DczF2i?uQ?=v`*~6Ak&DtSQu__pFi%pgq z=uHjB_mbuKs)`yVcA|h5Z0q0rdmlbrvg|P9(iSKSypJ|{YwS0Gi}8)CW^X*IRzj#~ zMJKbZ$xiJA*)SQ!)~)EoPUZ>6JbT|QfyZdC$*jFMsV-X6mV!ov;?xO{Q+)w$U`iN; z@6_3*VdBwA0bA;okJ>skDx4a|78dM}1beO#Ov8eJ5gqU3_}?u2-QjCWO>a~{=u~9WGjfuVKEwf?a}IHF;_v)7MN@}hCTKh+ zUyF`<(XMA?8`Ps37@+U0wUDOyBgyd~Iqg9SjU~_r>P=+JQoc2TqW%0SY+ZBl`4ag_ zFW-yCeJ=ducn#g%6mZGFrr2ATJV*HEUoR8B#skttj8K94&RJc_X2m4>oDUPkpT0ND zdSf=sp{h+gU77R|z}Emmx_V<+AGhxVy<)SSBr&a1!SL0&;C*wz&lYQe=3qFMKEd)a z(gj!mvm8b{I=I)n<~8LAU73i{So#RQ$6vm44FNZVegzc%ltDqbe`q^kUoKNdFd%Ej z@9OkdRw!oU37vQ>JG@2hOos41woKyh+|WpF$YjaEB|cf4VwM>jnb9C~yf{g4tU%&U zs>|DsNW6&29XrWbU_26-yk`_NDG(9qwaAPio- zBx|%N6rY-@JK-Sn@?STZ{gCfS^dnP=AXrYhrcm>j_mmNH*ZY6BW$+0-_`C10I1;|A zqoNtO%5j}%t8;#K@}^cGDLB=1iXe?LjnIFV6UKW=NS4Cy^>KXsfFP3}ciXX0i1;fX4D0@iMRP>(-n zLzqz~bw@>=s*{}rKW`zfFv1-ey}Qky5pD6M;w6Q}cN*|P)r8{;R@;t&REAEM-zPG3 zc0THpv5EJB8nFGEP{@8b;EL#zLwHxzPgG`FYsW$vGShdqpwA&=zhImdJ*(AvHJ|8A zhpp%Lw04Y(8T^FWO~qke0W9!m5(j&O4!5Hid>w{e%H|^}ZPowvRs=u1# zh$@>?)gsIsRPCVpuGR-YjH7v+*1Jt>sI%ok9$*KOA><6c1F&SWqIT+u&P`{=qioqK z87B)I^^_OqhR(aI0^l?yFnVj|ZyFUJ-V~pKZisAj7@5>Sn>N0Q;0O#a=PN@Tz)xts zuQHCbZSq0@JVxT<8F zZ`O7tc-sxm?PJj{DALY32QYTo2ohj1F2xRj!|ZY=&h=nFS?MW z%usBBUC0!ZaLT|yORT`-N>i}gAbMEk67q~o3XXhifiE}C7&>alO~46olf%ils9G+p z7QdVtHqInZ#9x133Hmx5sDa9Kf~nm&ytz!0$Fu$fdV}4o{{^&9lk_y0&AtWdP)W

      NHmB72M?tT1N0|2VY2p=~0plv{McgJa0QT@BrnJ zO(goWT4P!_W&xmKog@xMtzXeBDK@sU(N1c?IV(*6x=ZUH`~g|>yZT*O}i(C#Z|xd`#Y{mS_kZg4prDRKqxF#MH&P|9yP zg~c7$KUXHmy95^2tP23RaNk}r~}gfop(%{+>Z8!x=C9A8Qgr1byvm!HQq zHKGGDZmZxw{w`R8UJ4I&mK<>RG$m*$Z4O!6^Bhr1AisvG<6BP^n4jSl+RQ1LIGMNb zT_?WBZFMiTpDtp?eMRteWiy~Yo_$XU&Y-nuT7&PF-U3*Qp{3)sX&F8#_Gg;&TbT^; zA^>%uMQaWn@ez8)ScLOr=^}E0ZnwB5)%g5((#H%EKd<|$Vpp%%suVA1Y4=<~_M-)m!C;;Qs@Biq-hZTTI1oMkbD;jfZ z48tVVblSN*VrAz5#P)gu=p(IQ2q=Bf#kX)(!mGfe1nB9+oSpV8SAG7{K3w25%>QQf>CvGs-Z5whRpy90EuH(0Tr^K^$O_FwCezFeJLjO3dY$b&7J&I_YHjq{-(|Ib|N4e3($$~)gYnWoz4ZY zX;F)5?<8X(L%RENPPh>*$v!73*&Qh`u}Tnm=ydmb(<7@15}r?L+?l{_8Y+S$_cDjH zWb71KCX~Ny#`(j^U`V3-YI5p0_(MCsQ%$bhnZAr9%@W@mpqNfb0D(n(65rcTIv7B~ z1bF01OQ6Z;I2C$iIkj5vA0gBQW=D8M%$ z;P)1vMj;|YMPB5XAy>PnYwTGW0P4+<)6ZGX>grRG(P3@J=ek~!{DCF$bEsA4M`aQmCn7lF+^Tk6Dc|GMq?y~vt&%&!2)>5XE%=?f^ye`W6#shPnG{EnGNX{zH8<%dcCp+BQ> zEDgZY&}DUVOWZGS$?Kt1~9%4=Sh~Bj{1_)bX1Ct;xqcDI==j-qz(D`)f)To(8PyjlJp3=w!2MB8mZ^M*K-;1}SU4*c3>lNZ{8OxRSP-w}I4d2nQn_qjw=NCR{)6=-5D#)FbdE45n0|0w zVWfq^4GYjd4A?6;`<%vEtsGJ zx#D2if9UC61`LU*l2E@Tq4RD3(fa-mK70^>Q*Br@B|Nxq;G}4zPtqZ9f8y z(?0Crzd%MARWgT*tic$>O?+wpDIhlv&hs8AuC!WG=Jmd$%$}PdGo7AQ3nFasjl}U*VItK}3q1EFtyVdHP9{ZgP2U zcsG|c;3hduX-U5MlMf%>2@c}u>q6$jZmcye|AOIf%gqKev-Gzd@|(L{wwkh~R&JDJ zxCOM&k=;5w$7m^#CR@CH{0uT1yqK&dSC9-37w}pFt@rEEIPO3me|IaMF#y+tD4$Q@7bT+Y69L z=##xZ53;b~<4zvD4TYG|a9MI0e<%70f{%DHWKivL1DbR9C&pdtiU}ktf zK_*!Yu-YrO(XuAveq`?1XLV>!S=K`yo8O%zar@JTX|K)#Rlp88)m78}tYU>_tKnw{ z$Q|RW&^o_WU|?Z%HX$~p-rx0?eNTH@6X}Ql)*R?DYG@_O^6i$3DZt88+G0}6Mdug^ z++2OKR-oJOC~a52{ANuX`L3gR0RY*bMJ~rKuGNXDJ0P)Zwtu>_*R6Ei^gpbMZ z-;Vy`E?18E%|5yw^*hbYk#-1x{6*ClhL!zUWoMfWsEYR)h>2M?oiwr*ePJM&i+1Dm zf7AoG0x8IR?CPO6z)ss>udHbO1(;R-^T}@ac$GjHP1lnCvEZuVOZ$e-9Uz@%9zRF^ z=xmh>92vLJf3V32Zbg?9*?jPdpVX6M-SjNx&$?=)1@2oa%hmxxcx_z%;ZdJ; zOYXf(+#qN;5C-OxKWNd%d#xUerY#pZT(mFJ36hub@aK_?B~4IrWI>nkXE*wJq!(Dw zPcJ{#WZZuXuK`&u3MvntHdR|W`m>&0PmOn zh6fF#HEpZb10at}bB63o`jPa1wU@p>Sq|mg2cR1~hqu+wE1eFXOzw>rTs=z*Om^@D z!q4J}ptJ%ytOuo7zda}>u$Zj)qsDEZL+DSFsdgQj$RvAsR{d$x^vmP7%wIzGwmR(@ z5`{5Hev)9btH3>_(za$*R3#6Oqd#h4+cjyo%|BOf3EhE^6yx8j8gb>aiooFt#*tY` z`rozmtp3E@so-OQb*Tmd+|MIZ<^gT|)h5$h_v#3fOY5q*3d#jw-S?`$BqhBk`OHYs zw2;1~8Mxe7x)b3jNt3$x}2JU&ebFcL1)bf*FZPHifuJyf`ldvHB4FN*cbZu1;l zj=56;-IBI-XihB|;z@e(TIb|A)6jBIeho*n^6RJkK)Zam0hI`cGa2DaPEG$EuJ(mV zh&a{Kq!JH4h6ixgwaV%6x6UrAa4hoRuFo)rDP#$m~Kw^KISi*%ku>k5bYZLV<(gq9`YLW`}Cnwb={3dIj_1uK=vynYxfncXo8iAws?#aYZ7`xk22qHQC({3O;7jGGVYr^ z?s-ybu3Kc1a3joEf+K6sPLyp0+oPs)w)Ep5lPjRR@kt#Oh$z%K=cXimBGx7u#d9u5 z2mOR1;cdFhgTW@I|az}lCcDnoGq7KcZ71E z$^;N5SHur6UEMfo)a$==D`>dcr)ge#WIDH>dVJKwiz@b2kr@n0OMo zgwfEVmUZMrCKcHM)c--BD3}#YdraN+12B^24=Tr+i5u8#v&$HEtsNI0n!#TNCixx? zL~>z!C#}|j|MCw%eCP=qHTVQodrf;*lRsxpzHgKQ=4sP70z2Sb;dA;_<@}^xXXl)@ zNnG>Mw1wL$?o?LHKrHc9MPAZ&N9)$)&yJ2y*3V;p6gx^eNlF@U1sq)(g>co#><2u9 zNDUt?L7n9QU}yZfkLC^iJ?C~+tHv)t`YLMy5hwd zo;S|u_8ur}d9#OVp5QpfmyhCU&Mv|X(BkNf77*Y7#+u<;vp~?VPrVKJw_w4*DEw{C zUxOAq&m1t1BZ0RFEIhld_)BUPEJb_|7ZLj2UAR_23pYOk{V7~hGCG5RnH!`_NQS&<5nGWH3UMH=TWMe2;#Mk3o!IdLk_?AKXI%gikZP6{v?=0k z5??N@gjSZP6W2?p#I)c)6OP`!O?r__%?hNNRec6>DheWDE1 zD1i3(%p+)TyYev0Kq^9Mm-yjx2G_xXv<;-Q$TDBk*sgIQJ}(NHBzwR)JqP$@l#{2r z4SdFCp2wA@^wpC*@NEMcdCj+^cd|$YC5!I>1gec40k&Sh{PjA6BXUn*B%L7nBunT3 zD5%wBsx~_S-!I1PDlpm?X>+Ag<=PVItiQ&=6 zS>T}!7 z=*&X%9jGt*qbz#%0~s^AY6ymTysYq&=|;7@e)S%KPfIr=}8M~a89X%W6DaW#@S zR7jUIDG%*1g`r)C{k`H$i6Q6Vi>=#2O+|)MXYE{#`cH}+wUR8LF5)3^%!)A~<-@!^Bp@kDfVDFv%jr4GQs^63$^U@ZeVXSI+&~aD$j==O^<9V{PZ%hd&~&M zF0OP!o#tTIsWlZ;WYZjYqC3*sMJMAk2SCru3LJiqfH$(vD6UP+%gR78ujQ<>6MLuK zB;+RENDXJ%X9;L6FBz{c0Q=M_E8&BL*pL7JCbO{H_cqh0+g)d+>axK`l>6cYrA2qwh{i*ViW@GOq#Z!+>p^dYtVJj7Q$^xM= z$2;jy3Ls_r@Af9&>LZWlm!gm zBTIZT2x&fEa(<^!1rXDbij0aF6s>-W2!h0kQ<{4#Re~0t+s1CnMpS}CRCdHl1~eRe zALGu6Y9n8}_&TCy0E&+fK$3(C3Y`ei2QK{4EMQ}0Sqo#SPX_lqFk^C^-2llFr`}%+ zQ;mRypw;wS1m{2)3AjL?Qek zBQ%}{C-mX)$7Ql>6@(zr#i3InhjTy-BaE%OkF6f80JV->lmeehIP}3G635?6S_Kdh z?&i=5V%q}*1?v@_O6e%b3>;=yfgXoGh}m~Eh=I~YOZspquWBg0o7PC3u_28tR3t`=6=vp zJUYE21&C+@09swD`p{ITQJ?y*41kZ0!PVHm^5KKfK>_1b9T@{tLu(@f9uawOKx|uv zXa^1kz#wd^!xdm@%#SHJt4F{|A;zQuOMr7#*NzU6s_70n9t&YVT-7djrhvjvs+1KX z5YZuZ$x1Qq;b6P6{KNJ4|Kw0{)Idu@5f1|of)&U>0sqereGTFXwR_GTz-do6gn>*L ziSSNC4*4;sg1EcX@d~`8=bTBqVI~(>`&2pc3?NsaXlF1^3`2OYr>c^Hgfd*jz$Jui zRa$pz+*E9`b+==x1;sD)9SCa2(5uU#%k*d@)Mcj(5y&u!Zu*T%q0TSz!@fGV4R~4+ zri)P99lyii4iHBDp1s=HWSOD;3KF#eHu7ClY|(wB)>eXWJN#mh(QgZ$j*u-0=#)YA zsp#uD5;k8vBSz8cQF)TS>?}V$=M!k%*Gir1NnSJ1=jr9YLn!|QRyywWWWX>AO_38X z^Kb0wG4A!!M}rMa6h(%y{Y=X#zPyKv?F|DQNzt^TTsLKQeb3k)k@2a@@Hkn%{7}OA zk_>U2hE{h_!bPLNi{N>EVN^n6hII_Tds~{mq(+cD8RVGfEopL&2ea;(&c`=^#Is2s z3jELV)dt?59r}Gk+3*O*V>X1b3s2@uG4J(sH^m6%-F)ocDv6y4g#2s6#7|>Y>T$Bi z5X6D?)X{0gpi?dR`cI&xp{*R-4?1k%!IO}tac+98z$`JKQXr9694fzBHIr4XN8$!) znkCF(z*E!Z;=*u`ppnmN@Hww{%$z}%TZvn#X5F!2h{xEbd-aeBUmN0KbGp;aW#7CW*)8qWiP1smH$eh1 zi@^JomgzbU(2JZ`zd3fh9@+45m@d8)?1CYD1*d}B2{X}GCu@$tq2L28(1y9tRaQ{9 z7DAXZEzEng#3jm&O;P%q=aK;gkKD^1$@sDONzp=girlj?CIzuNs z4nx}v7M{-!OJq%hNhB+FK#J3PGcBlJ6-a;fSNrA1V~*bn&>W75Czg81yuKals%;zg z6r8gzbE`M@)skTNz>~x|wP8FXN+8ab#`v z{U)f0udJb8Sni;NdinJGUhLzyex6PYdYXVa0;TUfzx><438%!lB3llSI&e70MERp3$=a(FnwA^ zh6AW_iML}e2XS20sv;qqQ+-PPpDQBwA=ALWB-ZDzu6MH!S?!TZ#@02y`{UNgr6NAE&WUkJD z>+$a#8(gClX0UJ|s!1=ZnNl3kDz?i(O5D<(IJN>NsySKDwS_l=pw$*$^VxEzG%nh5 zTn;Fj%w#DfHF7J`V^$7yC3lL;5MOHVR8dstylw2N*a0m3j94La>hWHks>!{nYCq(U zU(#bERW=PvKW(0>!>%iAnwaIWtJMZ|ZtxpzPXKCay86xz81!2FCw~G!&Kh^M8kbWb z$ToSMt%cCcxzs>)DDhDvG86z0VxKXD9yvfYYjKitNYcT+Vo zMhgCFRl|NpIREWbH5L{0qVUE|UC~}?x}8qfx23IWeyX6P*E^WeS{kl+?9JDBswFe# z`HLj_y~Mx?Nau1e=mG_bFK@r3#ok2X%03lc1BCpkFuX0<7qAL)s7&uaHaQYALX;Oe zvKXf~C?{k5m+mIaz6!vLV*uC+P*YNrqNyEA|)w^*Q-l=Eg zM9z_Rwyti)I3)$V}FB_Na$$-C) zo!C*A3s7CMhL--n|K?~;hGg9CzNKE@P)OcXyETH|sMh)xvA#|kd9Sku5s8yHw5EN0 zzlQal6itLQMV6fqtbl4vK+oSl9qx#Rd&icehG`7eWK(=i7Sd)c(mc-I_888hBQ@fL z_e#^JJX730-|e!J7I?t&(1^$L(mv5IgE*gGEPyCf0b!Z`%Bv24 z5gwBoAb$Z#jA0{QmGyeXr+b9c->-@?av9hB)V!)SBh{Pbjqxf42Eh%S>NH?zhbx%6 ze2=;e`0#y`S>*8wuSuJB61|z?*DsjCgV@Az6Xyi>+O?gP_%{0tO^|k{eY;s2o?y9t z8yapK7>335C&&cT6|1X8^rhac7!8K@Bsh;Tk@n}v=e;(Z%Fk;U(*QdKi3*?0t_Ywz zX75w1`MjH!5x`p>cpQii%s#uWt~V95{+iD0)b>`4(ZByCx_>iiXC?jj;9f?=<9aKB z;Kn1e_YGL{{d$HamJZlCGq8yhAuYCG<0({Egqk8AnlI2gq*>Fu>S8 z;^=MPcijRP7_qNMOvw{n#P5AAI)_%E`fQM?C%54{q?N z<8PRc@gaS5G-peR!(;)PB3qo;NfUh!6jK}(0!1^G2+Y;9Q`m{b3wd`d;3bdR<@BlJ zkbXpn;<;g{Ks2pS_$XXJWUkZd<+?E-t%Rry8f$70fyH#q!EC@Rq6)-sRKuS&8UZ<< zs8;euzkvT1J_x#2VPC7Hf62kXFdaZ36{6Di_P)CCy@X4h&ghPOcSx(!gX`YZIexnW zF?^|Y1){zJsbNq9J=#(RF1gz!sKafE;~t=2>F}v=w!01`Cjrj&o&-(OtQ}qmXgaKG zcABWD^fVlghsbR?bos&eZ;DQCidOZy;@1*IP4Lj&TxN*5KRoql{wI`&@ux1o*VZ7o zZGLc5;wd{ddEd^!g@2DHkuJ293@#XBsxDKoyA19$6xu&8*S~G)>!X|ov93dmm8q{o z>~yW#L+xGZ=KEvp-{@I7n+M@1W`F1~n;D9ChvL(lH3+px{rgM6eC~PE-)a6|6z)%H zC+s^v1fyV}OCBwLu0uQBMRkV^%r-p3T>pN#{_k3#$(dDsdxZ)+}K#M9^SEcI+~a98X8N1;d(0qag&~qse_& z?c#Y2_}XvO6Vs(GzFC1=GGbJD5DriwzoWWDfEMIxrB*O3dR}58X#|TL{S%M$VOlqD zrjqlj@lyES4GN4dRHsPlhN7SO$VI_5mP|ZU`Hg4yYN!d1#AEEBL_s%PDLin%MVjY0FDX)7JlSa6O=(r z{G2;GpbVN+@xludC$X+@Hfz;E?SU3JF3$57K7hlPmJTH?I!W(=?);rY7T$P8IMy zyU-F#8rn|u;X4||2*(i54ADguxTw;pNHf)X&6f&}mskhdLCFHA8MlWMzb=&$$wXie zM{j9m9r&hjQs6*4Eh-s_iqK(FRrD&IP%G##M!O?#-fRLpr+HZ(cyxZ-``yZ z@1q}_2#A4c=v%x5*-b(1XwUg!C@b{Lk3NU|L(~7vs26m?qrqs#6-2OO8cH?fbErSd zKdHr(i#E>)$8b{BnZ8${4c53nx+$EH=?7;NzIo}jNW@2>{>Gx^_E>G~Ln%NzePyD+ z{0I{UcYn4I88at*qTrKt>JbIR1Q>lIgizjddKrmlt)AevjmR`in(?3sjdyCCotVQ*9Cx+Xr*?|e z9$%KmcYs?kE`HVN)Y1N^9bkG=UJ0Vt7h(VUFMC2l9Tqz}2HS{B;=?k+SmuAflOAzP z_tNv>#1c~MMNBK0zer;LRxp`j zq$O12h)XS2RFhk2?jj6hO9-&ZAjL zD>q@S0zUV`r9(@w2qNyfO-73hpkk$4J+c?Wh39i6X)7bkadpL4_gWsto+UGuaaIEw z=%wkk^UJRhDpApQ5mrUd=<2702DFI-M}~VAO{D&v=kwUqjuwfYai0Bn znvAHMVz8XHW1jjIu>r6c;F(n3bWAc8IHY4y38{PcRYN z5A`FRFBj2QeF=2DtTKR2Y;Zc9)!L6{y+2OM<;38JvZaUAL3URZ;-w(7`qMvPm;qd; zYk)&s_X5S70gBB=zzE*vLBaxs89W#-n0bTqYe4p~m8>!YwPjRhiliDqx;0EN;elb9bAKrh6H|5@3Tlwt2lW@KeG zXpvg7jTO)m`;-DFL5obvDT5_WNoyL24S+_6Dw56bCkxNxq7&EJ{2}0~cGx5NR=a>- zwBbe6B#LAww3#Iycx;CSL26Tq!o`X|_VUVY6-YS~eGU zlXs_iZf{C)3^h%1lNw*!6Oa&<4ra|~pak5Ve)M!An&RSEk{({iB zh`+Z0Z&E=V(H(sLX{#x&lU!ctG>0pl8^mzSPY&5dm=`a9Ayy%Cf!xoU%(GIdYqfp((XLLoO_LDy zo4mg8`Ia>YFxm1Gt)@U9|zUN}MS=ZYOT z^>;f}@CRH0kmaB0aQwS@JS@6vFd?>}L`JT1XRl9h=80KZ;9z!^>QRS5<7B43(pA1Y z&qZ2xt#dk=yw(+h1nca`>ZCnX=jx8x%U{^rHP>)?KNB7cs$;3@bE9+R2T;`Qbl}}9 zxl)|C>-Oc>#S@)s)yh_ksJi23-6|d<%25Z-nnguz>+ES>zkl%eK70T^fHRs5G6jqo zJiu33IOE$x1V)n3#$PrYJh9V6S6IO}xSn9X08l8Ef^Q%!KjZcROJVS`18P{SzP7(d zC_>4v-KxOyx5+zf7IgB)1L-$7T((Lhen>-@^IWdquf#zb-EN0&(H%;$pn)=%_XrP@fhiGjujj6FkPSSK<4F%tknv zk3s6B_BfX1-8D0scu%Oi{1U1Dr=+@HA~pDwRF9;JZ%~@jvZ82tJ*$yY*ZB@xW1-q} zu0GkH%o{bSr2jLF5&#*3zLtTr&fB_c_~b-VDh|}TjSv&~6!|#_gaANS#M5d9?`*n1 zQSM0BFZz6O{u|=J5<6aZNZbXnZH!pTQM`0Y+A6k-1d_2XXPp_`6`X)SYc#3D&m5e& zyz~p?d9TYWakp~b2%A@Sa^z%4^Iw1P?1zSLQ$Y2t9!G!f4*hR|gJS@2<+qu_3vFX@ zqzM`PbR5=qz}%JbK1lZYVSHRk^-g8uD4`tV_&A=n?hOPWPaUg-d} zNQO$l!Jn{x=p^8nSmAi#1NA6k_eF)U5}Y~o`g0&_iR?2Z3K)E|k9aKAs^S<(9jZ<# z5=s#|AT_kJEo|De0L)&TGv9C-<0 zkou}~@-r^+))g(M=z-HH z0nhXp8k$}t3si^K>`d*;uOzK1u8QO3dlm3PN)tE$BS9P?Scz)KoU`G)KwpQXc`aAx z`0`s^=utOcGDeM6jtNTCX%hwnp$>bhKp#EB#)L*8KCR3d_~5M8`Pyj;;OmLPK?IEm z$zb44(%ENKqr#-*ha;uZt&2UotjUP=$R^$+-WONY*yDgdO=fQM`s!>1H@c#X~BJ7O#yuB7mGKcCC*2Xqx$ zpvNtNbaBk;ikATzd9rC}B5kPAWqx#ad!*1`Bu@5>YZ1FTkO85xRb?Jusk=N2__*-N zChfN28$#RXhKW{=v}r2%Q$6Pe){uabMh;IPTwYa`gNHbE!ZDA!Hh@O_qo48sIY7q0 zKvM1V%8n7)+R?mf_MntmF>$M7UaS@9(Iexov9X80%d^E3bqeV|^>|6P2;a(w%Z2w9 zUvS%dTf4R37C%TA$yZV)Z5a4^MSB5Nb6QqHX2;|FMW9bCC3uTvUjnt)ywC)sPPzo_ zvRt*Jt(rYd* z2;j^w-@O_T5O9uyl=t<=+{!n@-dL{Cb=cNTcoK z_m%a}tPdZujYKCPmdariK(k--y+c{SDS|D7#%Te@mZ_uVHmx`{JWz+WG(j61UV?yz zW3V=Oy{S#r^mY%fLp(TV9>Mv{_}`Pf3@$+hH76OAyd?eINYGfdQacH93HUCHoyw1v zUvI=4Vk`$M9>2MOv;c_0x&nON)n^Uby?9=XvznL;(3>5*O>ferau?-C_`(V$Yc$DP z;{LOvR%3DO8!fZ|4!a^Btw=J)@9Z*m+w>xnJC@wZTgB@7#&SieGbWNTeNQj3*FK(- zJkFYO)@1pqUV@Q|@eL5k1ju8_=YG12q(HaN=}J!TT|+AFw7^e9WnEA5PSt7)wE|QT zj41JD(X3IlN%aR1W^wkU3ciR5-cfm1E)GpjQK}?-=K!Q32AEsX$CuO$A=S*80j5mhz9MB9?&T}orRk8_H;CFv(SLAN55>)~)I*+u2j z<+~I>cvMW$o~T{we)hV8iulkbEf+wdEKydu)O*KVHyx;R${Lq`zA}ndyTJ8iL9)oD z!FyK?8H_|Si$`+R$uYFmMrm|EUVNgtd)_8Mski4nrw8@)x-9W(+kxj?4>TxY@kK ziJyf!!v)cRqxGO@{sger9n~>$_BpWY8-95xGdvNIZ>kq;qLbdaXyqeH_X4CUqwr>VyB%r30KxxtHYHU+m{h4QPCDZKp#n z?OhproondA9%?U`D^}m#>A*R^bO0lUU%s(>w*ql4fp!3S`b;gD_6J$Mg9HY>UuWQW znGRQz!4YCrcL?}bb9B#mKm;WH)Nh&Y9RN6SKB)kAyEeqJ^O3=;0-%|xURu*h)ax_n zPR-m~W%tK};Tc5Es%tk@Ro^0W?z$@$c`^!|DOUCGe!-XPo70|AP^t|gq59v2Tur#{ zL95I@k{f%o0=Op?(246jo%2tM^p+MMkmK^-y2d^>^~uV2Ktcl>TLWYQXSr|zW6;2h zb6p+TV&cq91WOvS2<_wX5vW%?CrGWPj+XhCWvAt=-P1Z$J zP54b=>%3lfAUs!v{kmW}&se7>TrOd%Z2{L&F)hd&lJPpFyZDV7hb$O1{xZq$tGlKAvZSFgx|d++rQfD0JppMO3*}hRYP(=EC)cCWYnV8XGr4AQ(^= zexvP5_+Cp6T+mcNaFJ5n064Tl(t51+)IuS>R(LW$DmoLw4T9Ro4J`5&c+aDTP2scQ z_3b2BKFJLi_+) z;vMAS?h)Z9JlrFF*l}a`3(e3%2ui5bYAGq8luAK&7UV;bsHx5_8c~~is2BPHenF{* zF8Bfc2gVKk0GKjxr7qupn9r1DsP%AR6W?XWF?5+Uh~)mQmo=ikGrHM4jrg795mGYaog zccg3@P2w_F7s-*q0S5Qm zf8~oW__~>OVA-&0zrJf2n0F2wZ5R}BcK05rx0Lq7@wA5#0nQpM=A<$XenP>1+mZS~ zjjmk{sfuV5$X*KrwR82{^O*k{CNaF)4q|aga>|zA( zfmGqbuR1i+^37sIPJf~4t*y?~j~rn29;#J2uqgUo_QbaaK?MI}ZUr}b4}U#3f-AHk zJ-F&p^${}(`*r@R4IZWMLwNqvrZ6>93fJv@pq8NKpo#S}TZ04#?*Uf~V4BEmjmVUo zex!!VuH02`RKJ(L4`L^ap3=;$pLpGg4p0|hwD!zv#jo7f@q2*dQ@?^{zNEGq;4x^- zTXy!vTJ$R>M%CuOhbJXH2op20blvp39+;Fgb<)%;EkaWqkYzt(n7HqOTuhxSjLjxD zhq&)59f0p2f93fKP#-kXR~^7}*Inz^RBh>d-{)?e#F>$pw{l7(wYUZPD6`eito3kG z%Rf7%ka`~)D5eR_Ovzv2`U6(51=qllipSICuHJ0sM8@vYjrrRt@TwO-Erb7m`1TiH z@QOrh)~>^@}DJLchyT3@FOSU|Mrx z0C0flS_b5A9ySjb?a87*nk`uWm6gFc> z2B>T_EC-lk*1P@4#KCr8AK~M-7RbnHN74oBVek0qb#iDCYKIN1u}L?)IKU-fIwzbt zTsQZ1Zuy?`Lxp3;TiGzTv9?nKn?zErK}7R>*4F-^&HDAJgEQ5jn5XBNNpupxMobN$5?bmDqwPJ#Gr1d1 zJXkh}iXGR1*MS$xEO0mSv1?!QC0a;vO z6P(em6D8f$8FuY#`*?hO6ycGJsrH>~BPvsB_M-&^Z59{W&=>q-1C?ZZ=j=L`pI@Kwz^knd(LPa8wa1JAgNk$~ugCGaXfcB?hc^ zvy|(YbE%cjP$A0J{Zx(IrgNjGGCh1G+J_FH-|*>BwS7M_ZiaE(r-h9BzN*&M1*xZ; zn!g_^+WL!(5Xg>+mU6eyH#xX2H|#Y<3A|r~{iZjRzqtTrcX=!72?!tdsXJFa510FK z6@cAG%HCGfKA(oA46y?@7x*WE8k_~uSon-u9Eu5tLOD3-U?GsJ?hghmXpzC!kcE;m z+M{+Ce@oV<3%DO>J}LHK7^4miHhTCOJ02Iqr@;=>WINJm8$%s3$!6y9=$8WQ+Rr;SHOO@kRoXm?p2u)-?1KtT0NL72E zpYpHt!iO^83=9E(`K>R$Xgelnl92kx*CU7%lJ-;Im146&6Hr;fNQ3mYGbWn{#eg%w zBn!u`)ousYCUD|_ChgFIEk-oUeTTbz=R*#D!@Tdi^UCvfp z4s6$%Ip*VN(*~bjwUQfyQIhk5qQxLti^2VHpf;RN|I){5M_pAdISG8mdh|hgme4-G zLF0qiFlTS1Rf%pY=Z1)yMFKG~1Wj4$ocEnw)}>vKOdr>?FXO6=>+G4QH;cfO1Sa4c z%cRD~j(543Ept$yt#f%>YqR_MA`-xnDTu$=XNxvr+=>MW+E-#p#q`Eqb)CaC|24}3 z^kT@YUml-2Q_sQ(nN9_I0FC9U8b8)1bM~U8VSSc)`Zh-I$A{^iLHGy^z=Qp8uByZ1 zr^m77DW^TE(o@$mQ3-ZrgT0%;iMFrmBR_zd$&t$9rB8hJsSI8d&2Z}F%{GBQFUmX& zVm79X)2`xUcdq^MLo>eX!8z3>wSX#%w$xH@JKRG%!#?kU3d^KPxZ1S8Czl)4+%T4oU)(y18y#xOWR5Z{>L~Le)ZW?mz)UBw zaI#rUJvMA+Rj#TveDaviZFV^@MZ{L(lvP;^LyQ{f19!zNOIpDLpi+71B zIS*?KN8TaH~X%;IMNf%L))MKb`1 zW6^-y*Pk`O#Bcl8p97rS24-OM`jgwbx#?*@Uxl*3t5Up5+Oz(zZ+`Jb)rfT*Q`ghn zP{BrX+&k2iq$yE>s@^KPrt2MnAO#=7g|-*8(w+A(2WDcS^04^}d)WBGEQ-87c6==Vyb+{5x>-h`)wacDHSZn{qfBBn# z@sIvfc-e!&9n*JBE&6Bw#qa*bZ~eO}dvnl#`0pbqXI4>O{rQjor+@O}-;kX13d3Af zfBqZ)!Jqy7zgbeI$~_Lwpa1Ruo@(t+{=tu(Kl!~MHI`JkiT7O?7#38mKSVf$Dyc`OQ5>7 zfM&kCH~`p(qwsTuZkO|gCQKQrJJ&CKa;;8_)OQ+^&ww4($1gP47?+sg?n&`%cYF>k zuW9wboOq!zhgyS6#s1OBr*S&A3eMgtn)=A}9Mp*c@sH`}cyh`fF1k%=mB7I6PU77_ zi_FA1*)&~;^F^nxPZjQy9hkvZyRbWY7Ad;~OuQ|I|GZD?hKLg4W6Ry&OrX)08YXNLdSFxd`(ZfWkLT=RS~ zTL0i1`s!CRG_Doj%lJ0-&(&6Pv+LLFTt?SXVoJ z#_AM7a+!vN;4Kf^FZr++I7>4)CNRwK@Y16Z)9{Rjbg@I4A?t=!3K&?NK*?%tezkd? zvwl#<=7%nas^hw*l#diRF$#P?*Z=0Xzm9#e!=zp61lU?ovK;2%6TDXq{sp{4poFk3 z9|KuEI$q)>q4M)V7^e16gg;=NS@=k4-nw+KP!d~DS|v*{kPMZiC{0u4eS!cVpndEL z+ObI%y>Jm0VJ_~qo$ZdfAS*G048`P9^2IKxck*S3O6GjUY)W_|%)b^ETnUR7VHqnU z2eHi!90n-rp2b2tF)J*2LsnumK_HH{jyTveatA%n#X>YRrKN93%M59ek|qYK`NS5} zY&WVTr5>qX*(`}F_|(kYO<>qrWF=-Xy``9JEMYBqDuKxCr^cvroel^{GK7uZo#}B#a^p16as{lTufD-1C8>}fx?Z1nL6ICRQmz2KMRU&b4YZpAScfGKN)4uaFw&EbM?+|n zU$!6=6~xYf3WqRu*Ptz)N(C= z#Bw+<>PS>$83=5t&h$#PVTEq}YpFLE)7gNPEwmJkqx#_82|ULbyg{{-6d{JSb6GX8 zZE^Hxf#tpHTc)<6&FP$_go48O5}a|4@wM*G95i#5qF`;&ZFHxts1l7DPpy47F=B!K z)OD1llGDsun(d|m`F@La3SQYM<)*_Pf@{e5x++)_Ne*;Zmk}~|8y`nd_`g55!?B`D zJd0l`HgR^(CX>96#6IN%c$O3$(9)BR@Dm$g;KJYXQwMgtrdnrE)mO!3p% zTl)ayz4D^5K4}j;>=mqDSuh3yM|Tp^wiJWMX6kp&`j;`{)tN`&tlNT?%@ldXN|b|F znFf~meI7@NG1TT|YyM)iI^P8^WlF3u=jlhPVQOLPI?xO%zs($~26YkRlsod*2$0PI z*zSMs>7oMm`Kd04)m)XX#!4X3XofnfzIy%JoFI)BxBi{)m^8^(D&^OuO8(&;vgA;4 zX`|ly24+6a*-o)M#iZo{hk=$sFtc9D>L47bWjF0GNWpzM$Feuw21MG5g*J!-UmR|s^{S|62C5|G}+E4LL(N{PuUoJ7o> zv1IxqNhLa^FKuxSI#KxW5$;4a4wnYn8ezAhC_Y^;6?|yVN+e~N70Mo-N{BbK@+=7( zwMfhU87>YjGj`r7loyCD?pdj7puil6N_=97XC_tsBbnuYsemlG95?C20jVB|c$2Gi zVuKVpWnc(1k&m>~k|xr+B}0ybBo((QOJlT>CJVL&Mis0;51g>Rip>Y-*^8GJk*b@E z6D_HsgRHb=JHfn}2r7i9;9%WV|I3)sA)b49^k%uTC87B3{vP^a!21B;P^c7rV;P{1 z$YaW1+C}#TP`F3fdLUKa=zY{NxSf(W#D8h)M$-j*yLwS(BPYjVCY4TnPiTw0@JOSX>`nO|c5jQEk&P2ipVAd&g(x5HU}smT7pa zNOfYpFx!g@-`Q5w>vpfz>v)6of2F8~beA~Dqx^{hsk$jH)oyQjdX zaerWHFzu$W!}p}&kjyxU0wBDa=K5NwD6MwUoj2WurA7jVBc7__%A!?)wNRG3zn807!%|| zRCT|Po>d=p1vzG&Roy?MAa!|~o2AVo)MSsht9-|zaMNRN>#8Z&t(FCp>n|48IZZg%@kO?#ouhfV?T&B)8E5Y_+{V}JRWnxB zfLm>N#PHP~%*(td&!L$ud;$qw{6veI?>{9LWzlZ(X}4z+Gg2JlC)Z&%NL;apPbr9R zpHeI5drsW6Ihm7&2n1TlD1;cQH6O+@8-Rt|JD`Tp4#$a;Czzg5Fb||5Fb4253MS_5 z!1S)$EWOf0JUH;CuzW73UeZr{+Gz~F;jDXEs> z5g0fn)y2hbE?qlZdppwB6~;*yU_gVSEfFUeQVpN${BY%W32mh9>cL{`Lz<$%Rd}(x zOT%X?E5W=a2RmE^?iZYub2cESqFwv!U#iqS3kE@696BTWNsmd5cOWr2wFEDTW8S!Pp4WXpq*^FlK|2X zk)Pp>*3sxuhplt%dE7f_(<>)TK-gzb@1;^yvrl7n!u(3%=`Rq|FVJ^RBJZY`;9#&C zhN_xPpyj+A1f z-C{91osbk?9uYIX`6|kC(qR1?e@&0f^!1# z8aoOgZ=P@{Gdb<*X+r|Y|LgDyX@1Mb4}ks&N`9${-Qlb70X;b*2^MssiDL+wo|Jp$F;@*q*>AlT`vX zu}7HyVVO@{j1oB3;zW#ILM&VotKq8CAqxqOq+Q;_qzqi;kj*!!1*vm4ftBOTDaZW( zT;rUUWFPaPpgxlCufp3Sykq7(Wi#5qrpXV$mZ!96GuG6YvH0ZdD*mbNnUsSifGyi8 zrE0;kG0Hi=BUdzR@VV3m>~3+4cp`Bx)wy`N9MH~hbx4j$fdSD0aT3^w$vTUI#nmJ4Je0Y;ssBGSZstz@{OhH@^zyi3A6gg`4vb!_I3O4dv zwhveBl>c0%`E{dhD)#MNJDO_xsm*YhX%WSj$)Wf*`tc?tMhP^Osdz0eSSiv z@%)naIo8UXz?oKJ_G~djEm!pUnN8NNf(EXDij);|b2Ku!yd{`aPb_=DsbK&y?!k&c z`KJESDKUiR0yEq6<=D}7fm*C<>XE0XdmRO7%~aAw_mvcvSDO5$?^;1fvqXy}*e<_M zo2Q~f2Q&_=;lJ8!rXNjJ4{T&!0Khte3eEc#ED`7$n3m3WX6qoHJH+|Ir)>KZXZu)v zMTx=KupZ%_M?-L|$BB6dtUx)1;((j=9@H##;ev8Vbz^i4KD=A1Db@X=hf6!@>vfA| zr`X@*E0Yu`%mEfHn2EI&-&N4iWfx=kgW~uGK{xfV?@nyH#Rjvti)1Lk9GeboC~x*5 z%H}24+4rq*rW_yYq6Y2|rNwJNPa(NK+@v!%^(ntdIo6G5j9Jj8@tacG@n3_{GZYBg zWws9BHS*CG17)y9$P|GCw~5wayL!&qsCjVM+^wjrwyGQI14qoV?M`E3$R3XdN00)r z%s$e#uXJ!T)d+hA`%KDiHO_FYm|L6a1!k3HUoX7K>P#bW?FY(Q8a|Rfb+KcT=YB*S zOs}c9lsnu8!Kt#(OLclTXN=@T$XBumGB^Fg-mqlw`C`Ff5O*b-y;|*L179)+FtOxf zrzAA|dNPMST**r#q#U?m1DL?Rma>^HBEy9REz(TAwC0FFSs`cT;>yH-sY<}axuDb_ z+1Y2xmZd;!xVbjtn+l*>MQi&;YezG6*gFk&>ua$~ONoXia7(Isb%sePRv8Vywp5Ip zv$AS7jtRq?y6~i1`9?j*Yo-U0?n_nhAv|TcoDS7|TqZ$+h@~beRYxpRy-!PB@?1@@ z7qJUyzO8AsPohH+ojvlv%1E@)eT{Pvu|5e`S!OmVzC$YZ)IUa5fj4nGrgW84|!xcLS#!ICXII^C=`XK?KXz zF~))V`(-+Sr}mJO#*#ZixxV0l8KGe`XG1S&@@e>-3_%4VeUrAWpAMZmI4vq@6@nkd zU63)K!)Jh+P*?H;4NYf+m;KDKeyQF-vs;Dc`G6Lym!ee#_}MQA1$hzu^XWxm zHA6|C0PNyCdh{c({%5K&%D@00zzs-10gE86MY{42Bi+yNu zTILk6^`KE+{AlXnp#Bun3<8$Dd1@AJ`l(&gZ&Idq>*^%Ve`EBxZM zfO=Ai3Fj%K1qI-8{z{mfUUuIvyK~9q*fPceZKU=zX_O`Dl}DaALM=&~PD)6w|_G z{afEuX74z0D`8|$`^nu>^w|9j80Y=h%ID|T-{<8`s~4sg z;i2hhTA)^Wbd*Dd%mr+;OH)-EX3pZqs2mur8h*p9EWz^p+L04*3w=Fbma;{zlBG6}na3l_OLF>_` zRqOjBmgoyr8G6Bo5_q89W!Vx$pI3W<5_+hxX6@|h1mr22dNAS#V~6pvQpen=>@}^3 zey#bCLFgmcvdP@oye%x?%)!GpRkGNSfx0(ZSF9eib{Tv`PBLd|?r3|!d_A-4VqaB; zlIni4vN%6l5Hqd9hK@$>_Xp}BAPuxrJ zV6~?)056P1iWh!FjI~*T5Xuy6ujBLJBQS@;-(&R+(e@Dgt z9Y?cugP0z<0#TH&h{k|h{77+UHM;Ic6Y+5{xE;< zHob7qpSoe-7uLV7q2jcSqq7I|$WHEN_!R7)dP)>*=FzzTv zsNgz@qr6j3YA8VFVKU3CP(72~FOeA96_IuwDhRaF_H!*>9m^vJC(UxpA#7dLZTft+ z8sMzX`E5Ej#iHFQyNEgRn;jcyS8}M^b)J2Wbfi69eu0Ccwt$c)>O&(|(bi@Iz&m&~ z>Q11`5wjpUtN+nd(FTrfKUm$gcQha!Tw=*3FX^T=jdvP8M>M7`2xmt(cx2&r!`3an zv@?|q^wv@zG$d%X+FbN6?0NO~ynQk2$Y@i>Y=KP@Vm{X=$Ty!k;3_F$NrNMWRi}{V z;?w5AKIXd<_amJ*L7%%FMMemMQq(Wrr374}2X@P#mqn|-&%{k0_c zI2T!RE|a-u{qwXz;Aw+rlKGo0Cn!0PM)}SBO}&A~HoX3@34-=#?JDpm?bsXy+!!Hn z{`0eFC|>sDfdj$M9-RZ*1lDph=!76t$rdiE(6hGn_|kU_$v}(Wg9n2~xn4b1%?8A3 zR7Ir9g!V(qqzcqbFpNJ9O;k3Q}acT*lsd)={p8; zwrPE7#|zV9wL^Uw4o;?oJDgOggN8Pgcp9`0lepdni0pk=?6-CELR+MFA_h5#)E5bJ zo8D|w%4mJ-`kJ37bBl2`L@ITmq74-0oc;Ru8FLOx3v-GJak8){>uhHB=~B^5z{mrV zOH@`Ub+rJceKe7m`6ld-`GK?+JKxi6P5Mhqd)afv24U~) zD6|iZmQbV0?6VMx#?Cl3mmJQoLSah<*KYH9`OJPUpZINU>JLmiGEx)N&Q@%TmUI)O zE0_Tw&n#<7TO3tMOYbf!-RP6a?7^SeVgb*~w)&8lPJ<-ogkpC|XoJgwU2Y4guWs#d+=)9GyboN5pl%>(I8 z&b4%-0yk5?LG6|8_UqSNQ`;qQ+lRd>1|V22b2_O}ih55?+t`aI0o#m8fj-%077avD zZovKqa|vh|*GXkYQu6nh&x!ePe%a*}#+ol|zSjxp_8>LxC5PD{nr4_zI72cL`oW!q z^37CEU)6_-!YY4(z}Zg&xOVk$M+qBjh-APYTH3mhQe=(aSlP*5Q=}LcvVjAP2Ans{ zXi8TWgt$E#W-C?SiE#f$zXhat3n0TG-&V9+S!@jhCx!JMi?ly~MalH3VEJ5QWPJAcGp0Y^biTPp= zXZF3o9Rc$iQ0*7$VwhXU`~sXN=}&XKh}H<^4LnUuzG8N|IZ*5jZFi;?IXBJ@ZbMBc zw^FR~&cPC(svU)Bh;6qI;G+R|M@u_CC*;s!q(Xy%?MND}E!cMgCCyv5>yQ~vtMieM zn`~ULwd#rmovAh=B#7XALm`aFHe?`u-{ZeN{|#tkG}3AceXJOjACDI;AEBd06BF)v zz8MlIu6P(ZYJnA8f(Vz1^wYCQox746tv>uk>P<+`Q=b6$(cimbXYhHZ9Nz>XE z;G@@BuIO>a))kE3DMH>#D8kCrj{|N58OQ7@^Zq*XSApM>8Y_cJnBUVBxNExSPgTpE z2v^eoA@#F-v+0#7c+Ct-K%3;V@yiKka{InJ3Z!p7I{9!S*>F;+K|EK0;;Io!VVKK} zm<7$FWeq0>7yJz-(~kB&G_~Ro)Cu4F?_EbZC7ks8<``5c6xBo%Ry4Gx!8amgfCGg zKld<^9Ka4@kU{{NHp5EG-bS>eYc3y)?Af!G97oO)ERO6@wA+K00h$XCxxnPEEXjqe z;{Ua@p(PE=BD)nLl>NX6E;XOVKd$5W?xus+ zUgk92`K?TbZoUUQR)&Ljw)K}l;X2F*34=>AzRu?`W+B2XAE+-qB{&d0!;hGQL`IO< z&kG@?bA*7f|{=Y^_}Y!346@6e8=?r5hna)tfwnRF1N`gqaQ;KO?AWQ-xESf^*N3Tm{dq0~;F}sJGnAA4Q~`cz+t(l^ zQX$!5c$@F)uIa1+o?|q+e`pWW>(AudX=+}70WCnm`=}2Uz*zzod%l3c7n%mB8Ww3J zLo^Bfg*L*kzl%(Nplam8sW0;U0arv+oJZQ|9PxP5ok!XTZSx)-s%|?gpD6QGx%*20 zg*Prz=U?&~Hcj-!emHg;>LQO;Q8fVabdFS{y3rr{sqsmA=N@iBKeQz(Kf}w)0^Q0q z=Gc@uAdqhH)%a$AUDDyV>-|S zmGjZ2jaPf1$D59N-X@=#%6g`*|3ODyf1pw5qnIBz({2a*daSrpJr;ndMf_cjP6d@W z2drdy@9%J^`_W;;1dDrq?(iHuU})X_rULOylT(MODoRfMw0hbrqwaFr%Oh)YT(LYr z-qj=U1@+wLbYLbO+9N;5oMwXx0#9H$!l0(TD7;eg29O~89I&-zx1;DEIs}-1qKT+h z^b>s8@`mCLby1*F>P^L+9S$iZ4A&#Z2fE^MqHiQv#>6o%@QwO)H^*ye)N$@N{qk_r zU1)XQcS&;u4!Tj@xv(IpZ;a8ep4(*&5?wJ-739njVLq zBYuG6DcV=Q{(SR{H=rK~BHGX64Sn_KO)gOaCPB*RMTY0wOGE9AR}uZ^#}bD=GV4%n zoBa9p=ge6W(CQIza@h3xp>^m*9$dIVhl0JU?_0aRrYT*=;@2S}GIWPeQzrnTkXVLH z_^>n1fW?Lwq&7^wWFJJLlt0&zZFFq$T@2iYJ$4=E7uX70|JyfB$SAJeUkxtm7A(pW z9PR81wa0S>;2^Rey76)L-g^juZ6rK#59uQtu}*+gN^byryc9Rre9UP1iuz%d2#y5# z$bgc%N+eu(qdD3E0DB;s{&=o-K2c)QTZq_fR8R(ViXN`rm$?8 z6U#DyJ2L8#ppg5~b;0C#)%7GbE$T~KF}M5SQi}l6SqipF2{&y52II3gFZ0J=6)U`7 zgX>}``DTMfZ&V@!ds>3)?qBzcOb{)z>q=Y|VNN2uElw100-^QSeq9&zH&@;MQz|#; z*O%)FUpGfo2?F+I-m62+hq6B368n+0x?T33Jcu=K|5LUIh$$t_!z6d=@jY4Ul0JT- zx(nAA>M7s(d%k~lH=o>*GvCc;C}m7hw1Gkb$i?@2cVZHg8c;SD~isM3UezO*vF0Gesv#6-Ux~!6IiBgi`R)CdpH5iiw=m z5aS|{j~a{@F{>aM?3hV`iPmCboK2Y7@l(l;Q9D;*TyUOnTA3*c8p=vilFZ#wOInAa zo(noR>XM!*D1|%ABFKlk4hiBusRdnyf$s^xXIz9)RG zg^pcmVX80*X82?b7=%mU0Hx&&1Uj&mxe6z2EKU?+YEUq<8jnaQPhI#R$&C}$Fol|3 zQcP}3S*_+%16JiCxQ!#Ti@%0DC;I#cxLt24bfYy%yPKpobM~i`E&s`6T z%~j;FJ6vFxFaC5ed5Njm_R(Uz<*vC<*uviNUEv0N$PF;p?Y?gaE%dkAKnW~AapA4~H#!%{7o%5ZWwQ5b-< z(7!yq>;s17Z`}mL zrEDwcxwCn=ZZp)!-_e@CI$XWRi&a>LYReRWg!EjuZGEbCf~qD^_ksfE@|{`~!23Ql zA?S+ygj1)1p~pOj@d9<|2yXW&uwxi8N!icK_1qFLcA^-r_B4~~ZgGTm3CrEBz_5o# z@WhD{xY+}7PJ2Sgc_GY9eIv9thsGVJL;LYfRe-Cgtg$zDJR__>ho#9npAJDy7CCT@kSX8AiiHO2YZ}q5Xr|4ep!i0f zILAE+Qnnm@{eoLD>hRVHfY$K5V(%Zk4NVGh+CEc9jDtV^TfYfDIS-iMfqrMI&)qvs-0GKQ9L|&0`(+-?^Md%_j4Eb@x5+G^e7P^UTtd$Zy z1dCfp(c_TxAin1}vu!RlDm~I15I(@61MfvvSp{P1`fi2v3@%$Nxr?uIM@_hn0OT?X zpGt7Pf!NaSgSw-H_pdKtLMNs0s_>~~XjzDX(Qk_*J0i43zh>gEvLhI#d@3nQ_ScIMof+U){1>2QHMvY-pEH2V6Ea0^H6wHgy5~a~iu8 zv+o3|^7W@J?QQ@ERMjA~f~oyTd*2Pl4HsxofaRt2+|ZnGq)ie{-iNBqUoH;tZopKR zzf|mCRWQgrr$Bi*479kk`B0TKvpLoCuA&|L@XQcORCwGdl=WqaLW#366|FP0Cv?hV zO{17*#WAniLkCn!hu3xrs;jc3>L~f`QuZc)q3zkTv%iowRx`?}E{H@1vU*;Tvc@jb zdjP8gXee)Am;ggSyub1yr`_?0z#(S})|17-?)D9{yEpZQGy__is{?G&`W#2!;tEiR zZ2-XTX&El5hzDAiNANMV_Mxu|K@f$G#dN``w%v4@>e{#9o- zi9}_5iP}EGjJ2kq&fG>+HdOjEb=};C`nY7V&B1;&k^JFM)0$HCJ@BWerlLBprV*Kd zf!gud>9S?gXW*8ufq|Tg=JOIHeXvsp_O8*%Bm(0%Q3G~Bw5ic#)aa5`KtGPuYNC(i zbHRk1fqM40K8B+F23WE{S)_ph!b>X;1F`Z_0}PfZ^5YdAvgheoH(;}Z2}`qL7KFhX z@Ho|xZcvm1v7`(GFZI`W#*vO=EaSsiRZQq|wt3~GEJmrH;>>McQ*<;KrNK?Tpvj`M z!%Pr%1C?MD`dMH=9A|G=hEi67DE3kl#5gunx`Ogm5V3$L&0H@wv5JE^r7NJ?K!B-Z zH}pdTi8yd|1R*QSXZIk5>Wb=1qA*_J499P!qHwE2KX$KRgo8I)_6!$Ls5P;hB;E=j z*q`$@Gr8F8#>Q3ca(P0Rc2R2_;N*UHXaxJ2ij&5^yF&L3%@~TR!-jP#_o76Ux-d$z z6^ifDSxvpM2e#x=5pm=OYna}-w<pnzW;!+d;P?7`3X%FE!(I*z4 zZF1UO&`MB14^CaCf%1UL;ROl&4FIo!ln3VIcCm7KUIPA8-)H@uaXoOI>nB{pBqs^P z&x=$a90%d>Gl!9Ui!h|pCD7NY+moK^#w5dypF(R_??C5-E0Yuktw|JT&^!VhCAqi| zg9)xrni;QDUIsHzF9RH?7kf_$LhMLO*wC(L{u+deEC)79Ao!YkfVzgiUctMGD(sjy zx#j&j>Otp|>LQryBKtK6Rv+GbUyFVJO@#v|hC7bf$veZTK2(aXk#T-)2vxck1)iUZ%} zika8g6osbihvsn=1s%Hp6XWYID7?jH+=rZR!Pc_N3cj56b4RLV!MuxB@%j@st+n&M zzRLNP*nvVpZ2S7l*WV@mW>rY41lR>&@RCm0^1h*3 zAVsOgQNSnj3#ua8@3bXb(tNz)s6z~l^U9V@`Az9gRoQnIZ0JA{z3E?n`H_rns&Nlz z05l|tEc)r?Q2K3oNeXB6RM zaR6E^)eIc$>@%C)jhrG*IWox)7(}Rd;;1@5JE!S%!c8BrWMDjwEk9g15i%7xVjG)8 z#uB20fsi1}=itnF%$#OwCTG)iM_P;L%EMQ<=drYe$=d-&dV=E5-YnwN0w(Nz2Q&;A zBQ6b-c$9uu=D507=$h;k0TaSKb_8G1UR)|U@wuU)s|=)-vx9oI!zts4<09(78%DTT zWCvGeJJIG9ULfc!HZ4McNUmTk5aJXSF+$o5)X&saDV33#;bE07jBI@L&-Dz3UCB}; zkXL(?pVTJ+PKZp8|hxznmXS1u+OS&Q73ScMTH*6?#PA~k`jD00MF5J-Zr?x1R^suC%}VwlJiV)Wi!qm zHyTaFq`)d?-PFZl6<~#6Bjj+0uG(&*c0wM(s8tMPyCQKTZ z@GC+?Mq$h9xf>M(!*it$m_dIa!6Vv=9%#GCFKcS{OtoVgJN*R?EdWQadfod3j4Vs- zId=)o8<5a}Oz2Z`CsM8aqUJKQPnKyOewyUvMpPe^GXp(ph`>pAB=&Qios39ZU&e+*w>h^Nc7PJR)VFaFv|dB2Sh=>tMe6LYOZq!@DLbV(g-zUo-t?> z4y{$#kO9tczu(jL2@OYD0Rz)x$gm$8EN3eizSE8zwiS=UkRUmWq~Tcepk)#x@#aAy zq5l&&%GdzewL=eoeEbRUC&Zt~?(h-QM{h@g{R4dX^5NM(uu512mF$4XPJ!_AEn#I< z!o#OzS4;NHh2>Jol$W66!dW2x;DwJMz`KTdObPy(66P!P2SWXfVgyJdz|R0L0t5*V zI6$-j0s@E%AT&T4zj}$7RFx{~kN?(hI{$BfS4q-`%NYnW`AFp>k&jqDBKZjALoyyp z#zW8UNJ{8(p@K|4Qu#>mC&r%$e?t5T@W;m=kK$2V0FKLH5@3L|I!xf(qb-byVj_jh~^bZjb6Czj^iH18TtTtFB z)_A7SaEAHjfQr5JN!yXA!wrrzW zV#QKAXx*o(ZeeX3qgbGS?CVmMiT5D+*u4I11bRBD8tOI6Fe?4^Ckp8XmRwvr`i59H z#@r}x=PI@!0?Wi;H`B3x{d>5$i@k_?1AH>nBB4%YX=B5@IBi}JQsI1!2*<~s55`KI zkaZ`VCcu~ILsg7U6#J12r45!?+I(OH#bFDRf_*m*r>U3BZ0lh^-qd=S#8E~|Td}Wo z;~{Z4_%UXc1Rrek;VGxJUY<)%g_n{GF92yBXw@CNXIs7JTwfJDOtb8bg433BN6L2nvTrZAkl1y!3lJgQNGXi8 zg;CiL?`D61?<*ri==_J)2(sC|ju)h)MbjV~a$Kw&fHsRC0B4fmJ+8^0;kpKWzZ6G# zDS42%*f?IjHmb@8@SaZT_*Oy{Z22x9h{0|KV>_Rh0P_+Lp>U z^JC-Yq}@!-ob@@p8Vr=?*yo!UGuK{38%p(5M^ry`$}z{JHUod8$2XJz>+de8U_p?1 z;M~M(EkS;10gf4kb({Z-`Ug^s^GS&N`48yAwK)2=1V&$WR0!4kjfTZX;u z_RSL84@fV2$v6E=r3=1${YBr_2U|Vmf>RA1;n`LhS$9*?Ire$I&8e+>(z*fvR^*%7 z=7;vSkcM8yao~R5I8JaZP4lafmaHUrD10O;X3a6xi@AxO^S;fmBJ(pEKQw4*QFl%h z8<&M(;OUt83$Iy1G2k4HGjkKRih8rO%0m47`V*RTYI`h13U7YQBu8q4XHr*iy?4NO1A@19))YjXemoaPKd9~JL3MJf*L?H( z`zG_uRi<=^c{;s~AwA$}o6Pxv#Yh{5 zqYTx;I`32wY2?KM5_>H;lj^e{0#XotJAd9iep(`*-@sj}+inLZh_W>C?~A8;(((~X zLA)@WoeK6nwYUPjJ&hn=d>o9-SXhW4*H<%6j{#EE*~HI6Ts( zkoML%wx=y9EQ|s^PVy*1;K7TFl$6(>cXqy^O*obe3I;za7!fP~F#1er%Xh-1I@Q$6 z>o4JIN#Ov4?DP3gBz|PnS3`%7?qRqyb`Ha;1#mV4mKp^LDQVj0LEnA-`CtU_`TyV$ zr7hjEq0p!L2#BB|?m^i*jdrfs*X>?^Myo2A4MHv)oW-07ZeyY6WL63QSiEzUZ&*a# z96TMACF`$#`!4~BVnP*RD=(x+=e(g^2sI0=QQ;|(WU2iCgo~Ow#y$L!ck|Xf$I!0Z z1v5q1!pr{Aj@&2zyV`id-og3hVn1vj?J$EUz$!1xAzV|{8|RIrIA?2Y4>Ou1nw zEHE%Y(8js*M{*Efr@KT`1rML%??T4~PaSDhG*+eL?C`QmRhZxGGwi%Z_M2U`zBjk| z@>~F5#(j6BwSUtAX9mI}_`L6=XEtsj4Jz# zD<$b^;oRg^iCZAydVif-?t{`VE$JaFw9yHbx?Upbyy$%4Ch4Rx{}-?B~(>!0mx;XgfG;o(DJ3 zEQTjcUeci5)eU1+jWkiEPL|QikwsY~2)leNh0`{Q;9;Dq!lJsd(!@A>%A5pexa~%aeT8{2Q%7B3p3j1(L^BBQyAvObz{mp5RP49wN?;Gz9-03X zhPo{VCh{9#4B|wQ3p3hO%uqynX5pw1PAXD)z@eia2iL7Mg}FFw-WUw@9hiPo@JUO4 z6~U56>Nl;987VDsz!=LEGG)Mx*n#;d_2Fj-^qdqoE*@7`B8kKDDox-rvZ4Jym8^s# ziRZ)-tk9#STyA3h&42bIW+GxKt87F(Y{XzuZQ&e@+TyhDNT2-5#&MoQI~3aR=9;@t z!%BJnBk*L3WzYKZ zsmIk^el%Dw9l?*{8y%AA$B(cJVwudI#RkOHhL(hVe$H!DHRnlwX-dOxPuZcENysrh zDp?rns2MXhp+Di&jVT<(Ow!E8b=goiK_+Db6PvH4fpH9`1e#G8YVvHWhpgFk`&^Hz z$g3o5+KaS+NqGp7SCJ0#u{o=LAYgUy=)>I}y*I7Qxa5Y!Q!e*xLw$rdp;SRMi{qDF zXPqgg;d-HVlAiXKFw*mYO3xfsfbOe-eK^;WxD}K32%MkWETa1+o=6RJS@RQaMRX3~ zgwzh3u9xnj(7I=d%<5Lv!=XEEf!V!kQa;6Gc^(|y8MoLrW(s|-ah=fqdU4~P zYdbOXg{#yY)09%2j@9u5_nIYZ3c&PwR^|4WS=CE*4nJUpC|TD6aYs6>RI@ znDQW$rUX4JF9*!L`p2Ka{N9>7Df2v}99o1CTR1*>($ z!>yE#T!HgQw)*dAR=gAyO=ryZKr?n-UDu6x798_t+|<=|wR(}x73K@9A@FDsK9sqQ zFfj9i6su|+Z{!)XZEDsSjdpQ#)9bqOCB2#j{biuX^JFpY?0_2!_s6Joos*eT>1q_D z>$;9+F{F~8cKO=Sv)k9*%{-be#R%uw7y@8%hU0B$mjhb%ovph9b~nsZEamHHh!(WT zm_|^V+Z!|mS9hE&18mNj9~z3FLJ=C)8I}2HJ-eFYeI9GHGo|rPGm#8dT}j9VpC0m@ zXw0ato+uD8SwM$5`aDfcd}zRn8bgfuv5JoIzN8x}Us=|WWNe#-xSBey>pfev!cbQa z#QM0I+vB=!rF6B`GdfWT`!d;rN)K}9rNU>$vMWX#my-3sR!PQvSQ-T z#g4KzOMjKBqK7CJO{d|><7TeJzC*6)mC!edB`E=N!DK29?~*2!Ali< z2-R#}0Mjv=0N@hz`qPeW_Bs+x4HnRz3}_Cpr+}}%Z-(%KIPn8OU%0fBh4%pt3j$j2 z`97X%sH%Gk<|bYOKy3gY&>joB-Vl4L;q~Wmoc7!>4B!$#Ths4i-v|f+To%*90Yo!+ z!340WpbRkTU-Dhr7Q)&T%=Fmf(7r43(kx>9CLToGn;(;wKl{RyV36uE-cmb&wM6}ms@xBi%0-ArWiWEyL z_zenk0~DE*3(CVwPJ0I0J!YO0a#6hqP!LdCs^;})N7`IQ)Cp55X~G9=v?Or9$lKRn zfbAZ)^r;(!K795`M9P2*9!z;#cuM-N@5ONn`ci3;kXa>YK;WVVzHDh4hO~jj`yh%C zJNuT}yuv&gewqrVsyi~B9NR2Aw;)uCl-Y2~a)d_!=xS$d5qsb=;KCZ6WDJthfNtk8%xOJ~R<9;P_FTcU+oY(z^`v{*-T*(=%vNSb3tsjFf} zM$A;lWS2I*Tc2aafItq?>sTOqWk+`9>V8utA&$9kV$F3Tu-f_#Wsc{O;!E@BO}yBw z%gC80WSz@2PF)o*HsaBk)K257KCkoX!a>NpiRWv)0Ob>ZQ@k`#(GoM-98loG=i&i~ z@1je`(NZ(o+~(pErrg+!!ewAjxrvs{A;UXm!$1g(XsM2tnO!B+&A9ZEI8w1Pj`hFO zqzhXljhuG|M0TH_TY=A0HzL5#Q(rZJp89D(=!xe&g331?a-?Nu)4>v!MB;!(ekk~e z|6da)jdmP>^K19G!HMyI7gruQ0VMV62h`{xE_6Hq|G7?_S)2Ys>A|^Rjsrd$3I+I< zG{l7tfR+Iy0FXXlR1|$dT1M5Em$IB=fhH${f#YJl9?($FRkMYI zg^CEoo74&5r{HFsS^}eLAJTxBW9=HsVF%MiiGU(`I2Z+FAYbtKxH5v*819ffi}t;3 zKOM2kt0=%7LX;$Nu!LeDz%e3_3obvkF70Jtw!S$6eDp}ZivuiR4>ATJa z`DDY+SVh6r5+nEr*bg%vA#Sl?NezNk-{*XlfIaL=b%C)?&5Ho%&%lXbc}ty``HFBA z_8$TevIh}|%=Q%%Hq&4NKyqJUGf@fV7rb2Tu_k4mS$A5OzVudiH##JyLrp|66t*%#5Jf9Q|y!2vutD?~8^z{`oJ)H)| zFQo_}e2O_N{YzXGK0`-xm!~iQC++V0BkBLoY;O)18a!pAZCH`N4{(efAiSA!oVXi@ zudgF{T$MX@kuMIR!TSJS#z@Ey%$RUr}k79iHb1v6c(hVWp79WQ4jJB%q6E3VEzwKY=Jv5=gcEH3H^&m6!1AC5hV^NBu(L& zfJu5K@I;z4^*3t&{WRw+QNmK>%m1h_71pYnyo_5CYIy=!UblA^Xi%e-QC^%Re zXl;xtTZ^fx58&Ud%d1>*ePs|7-xu^DXP5+3JW5%&HSYpSxa8;zC1zb^Sc=!hyCdt= z*O%Ph?CHsee9lqKrJC#MO+iQ6@Jy=4pKE{{p+D@=Y0aLs6b|mn_xi$>Ag*m3Yb`CkDFKQ=^yAm->FY>*+-oFMX7C5& z;iU~zrBPj*0p6U%9^sBHLQEN{DI);hnhO~jtvlUjC@Q8>)j%6Cvp)2sFOt^%`ZN0| zdgcs-;G42wT>lhA7WRH2_%)t+7mCBsx@yoq2UhvnF&3uum9j3U`urZ%;2CBgZPytj z?3pP)VE{Xy|ZLHDoOZ=Gm_1O z>wS~9e3fhHTu(tt!eKvCb`v!_I_IIo3EOrHKRI~0RB{1rU@ruw7*f$9?mRvakk3_q zSQYzo^A@;)@IA;CvgKPAW+ECN6V)PVznjg^=|05=kw zng+>rZ&TSZE6ev7VU;GrfWhcC4bX|VuRm+*uk5@j^5*p?cbbu}qFhr>fLvh+1dLJ# zbFo2uxS7IgQ&j^q)p0XyJ2r=6DTyJ4h7(N~q~d4a(X4U2s`Xu?S1f~dhB9W8hK7K4`0BdlZ>Hs(^hwBdvylEx4H^+sGJ>sVKVwRYibGHMN2%mw~U}vDL2siw`c7o=KB-&jk!S@qD zyls$;9BlehPP@*bcGy%6`;Rk68?XxDFwV`op>DDp^Ff3iC4Nm$>jO(1LEK=oOn?B? zv;(DyrK!eMeO|Rf%AVXqhyMAceY}VxJ(SCf^ISjYs_i~>m!gugHxlgt9GD!fd*I^0 ziD=9((tSVHfQUMWhMh*<16s!{Op{O0 zp=-Ombh}!F)WbAP#|_R14ziuHK_GKMhyKvPzhDtS1=*fH*o)SDCsQSNoqQe?O}ztO zF3AMk0W>SKOr*jWsNNR_-Js|d?&@<|=vFh-^0WfJ{MB@IcYgX8eqB)b3$uFiHwTiADxBMJz`9J&rPop@V)T9JOzSJ z%RLy}LHxd8$b$_&p@-QO3Vv{3){3Ma!u&g|_pxHVzfVbI6z*J;H;dtXo}k>0MFHx76|~{F4Ki(7-bR95wLC49>Pu z$EZ$OIAb9ssV(II_enKQGQsHP0<$6!ZgmN=>G}_(fRLgA4^Jio$FW`V6e(tT2^foA zsK$cvJr$6YtyC!0C6rnbc}y>%U^c&mN^U|0947Py_gIG_ZMG++-2PA>X`H<9K_iEA z{Ll<19%-1QXk7@FBr`J*jp6zPketo*qp9iv7v#@D1IDe^L7{bZgR+98aSBEpW>t6P zkk|;EUKK?PBxN)aZg>er#o(fxU}w|fJ`|uX^j{Lgh*Jjy!b}0Yry45ZFu)lNhrc)* z4jAWp4v2j(=||nLBpM25Ha$_xi*yo<9C3L>#6!gg&IP#%U#;UM=CWrBOSK1AF-=diCoX`V^h=F=`*&4x<_$4fZh z*^&a?!RG&nJEKreo@tmdZi&vF?}&Pxzy7ySaC?xKNMQUI;{;p<{u51MbmKe^Rvq}H zH66@O9OZdq(F({|x;!{B;U9qXBXgk(5aBSzrqj>RNN#N9mmVHl*aHk5-1w?dh319Z z4;U5?SIA+KSTK#GRcKq0W^=)*&*Bt@>4L#(A`Hbiw5Vs(dae_PO#rA)_(ueL0_vG0 zI|N7oZKkOmdRA}1`-bfvW>8X|4vWuXiX#W?uB^9k54>>{vd?>6~P2Vx2rCxzX@ zxaUn$Iln;x66+t6euWb~*dPc)gJ~)=Og+3Icn1vAdJS_s$X$n}EbbXhXp8$zWsL`S z8mG7bIB=K_`koy6>>x;0`#kUWxDIDa1ycHP+ohfI{cA zR3k!x3)xIL4wVcRWtE`XE1`k@G%_7r%PmWey`invu2Lja*keA!@dZA!*C}YpjMfSx z&g-m)OW$Zel2n7EN&t&-8`%n%xNG*^^Khsy3`ZZS5|HlYKC17&QJRo+p5umgAGk)x z5_y{nEhzS}Kq~fVf3St@9$Kev1~VPArs5mfOY2_c{i=q%J8fX*I{AFbH??xFeM9U2 z)=;9nTcFixgd-Gh5cCh(9f-@HB`CZMcgx%sgvJ;W* zi?A>GG*N1X9UeX@{8LpE_);^!1NU5gwQBM$@~!}u8*FAVRB9q)WJC6~)dm+Hu>Ju2 zjY&4;Nz;$*MT*!@#V8shw!S=kr3^FjLLEu>61n;8dK_324!x-8xJh zt6iOABg7K0up$+lm|HlLMF;ZV)pD>PI_j>-r=xp0m_XOX8giO&4bLbJxl) z<5!M&>2Tb-r@i6@)1-=g{gg{F?t4a6TKWf;& zRCNEN(Q_P|*zau`uRu4vE99?#M1iLtfC&6TeU}$1)cn%; ztztH#ibh}Lk%BEao%B}$Xu~RxEyCa&w=k{BWadyRR~XZX;q`Gt>JQCI6bNTg{-e^! zJT@^Gwa<^mfx%KFSnRn@5h4yxp*gHO{}*v^SF(UZqjC%W8VRJg{vMx8$U^|3(ByCw z_;?N;DA|jSDEYucOZn9TTLXc;d6TPU(--R*r&F+aIN=h5f`vM}#((OWrMyjwjufNb z*#h8&y+itYOW}66;?g7;9n@ZE6OvUHRzJl% z_FV<3X!&jrnekOF>9@rmpOkPhjMDi+_KaGm9mzA@^4dR|>nK&7->j=ZjR>opTKKdN zKqQsEf>#(guG(*flI=vE#&ho;_OOQGzUYNl`Nji_-9yD8a~u&2l4G3{-3x+P9$Gs< zsj&y}0rz(#HPZ!E?dO}{MHWsIs%Q91H&BZ?nt$Cc+$XTlw|OF@GD0+*RgCSN%cB$z zRmRWNM(`N6az<%3B5k1Ak%+A`*@I&>gRJ}5JcImmv>rbNZi*QateKB zR(-5>5EiQP5Y7RfP!^+pj`^;gj{o0Q6X^l=Zn&wY0M!(JMwwL|g;I8Fz}2pV8Eygv z)JMPpq%7J&$9jSw!tGpTa3T}B(;7v+Dj~QoOp#c0E@o*&W z{|fQ=DA@kWme%NL6LgW|Z6M%Kyk6mFKmt5ZzO?mu5zbF^f}akq(+RKBxkrrH;RbSM zru3QeZJoux`yI8hy`nk9PUeo^2;1X9^DgZHNa^hAKppfXgwqea*N1z3fcAxLK6M(7 z%Kt`Ks@`FUf+!-WkrlLg>Ei|JE zzhYkTY6kVqkI{kF2XciX#NzYBFH?SLqjuKP9JmKJ7_!WON<>23g z>l^2l9lVlI#fc?OqT;asf%uv;lF)$Gd(e8> zu|WrCYzkgH#XH1PX~BXi-*xtbtFs8peFn0fqXtXVNc?7KpO+Uj!6R*|iquas6(><~ z!X=LQ+HAqz($h4@uniNx^k^;9_F#W77o93^s9lyvT@;vsW@KLM8`z(g7X#hoK~Dnhmz z5CLCSNY7zk@-W4OXha}&@InfGRjJMsIv+Yl%~9nDDN`X#fsH8M93|p3geQYmR~d0& z_zJ}+eU9SKQ4)@FReJd2dawbLSiXuCtYWdH5_C^44m>T>2%bJ1MGx(8F24+InuF?w z9sVO#2Z0yq+^NA0Tx_$_a69{G)ExSC;G%6(GgiDxD!@HsC6(ZFge+7M)FAbfxj2k3 zeO(DiCZ_+XSZWNAjx#q94o%&#FzRGL(h#=B-Ne$Y?V}SRSoQf?V;~*B-Nt> z+U@cI5@Sij;tRgXzJ&LK6yY-o{~O;_Q?5tea_5_NCu14yV7$E_J z)+KMLlxn3~*;yn_L(>xb-WjTD31%>Wp0$L87_&;B0Sud znJs%QGh6HXm=dD|+sK*>8nPz$4jij>!5{OScDp|TmLC%`(0hAD*+1@WIQu+n?UcFh zs0rll6JAbT;Sku==n8q`y!>KY*MQPs5eS>!bE$EsF)dg;LKYVb$lT=%<|-)tLjEtY*EKaxaHEpVOd zHMZI~X~Pw#J=Lzfn$Uvc05dvAAO>&qp7Unkf$+A5w#?f!TKQ6OUK&N_7_JHS=X$UD zS7TpZr802kl*IG!LD`DEgO+eD!leNG2ZyrL#)Z>ua_8{!P1&|D-xxg&DsjcyS>tBz z2+-;+2hR5&1vap5r!AOy*8lazUyvisl_N>Gpsi8nPMlw|1=$Vk)Is|g2K%hR+QFyH zp1GC;rz_#QivctM7h*0``_3)%z4!KE*V2hQ5Ln9;*0UC^kck?Br-Xu^d@ zJJKMXIrsS2rI|VQL?X%cC;lnH0Njn#{J~5XjZE0Tqq}$sd_;JRJ zmtDIC4v&rD&FNj?#k@%WvG3MKwfT-Fh(dq&x21X}2QqiK@T%BK#dwu)sNl6?!U6iN zXgkTASE2Z$nVr?1HhACtZH=2S(dCmaNb@F7by!vhGXLz=p_WW}Rdk(NVVG4X`l)+f za-Qj@Wr_LP-hcb6;@e-n{K?CoeETa$t^iGrNA>)Ce))$qNs}t~2gy`8wb!)}r|<>4(Q-DGK2AF}ce9zaP%|FRnzVSI6URpt+mHY!?WS9fD=y`NO{J z7y(sdZ$J)PS0-MBj|RXjA#`TzHJR%chc?WACpqoQud!+C*7;@P**9?o!|DNM1{w*Z z{tZAhaZ6u(EMs~_Lx8{Ah@TJ~OI(d0s=6~UL%@xGJOKM9r zr?b*!)4^rUxO`tQk9t?^q-3)TWQhIl_a6+EDUHJhQ?j1DZRkotKU(LS?ZyJom~9TX zp8T+?uv)}SA?l|gq97NUlOzkoh$j&(M;5bVF%sNG@*NlvadI7IA+`c(iYv=SK+8(9 zppR5gYuV$34Icos#jY!`|KNwc13Vv2s%R}|d#_-IHIvDa7JVn8-81;o0$Mx~CceN0 zYrH@>Nfsw4V~sf6dGX{~5XFe{4gr4|EMkZ1xFD-O^cMl8BIE2<%?hp84FgJVY08l| zd@oIKPMbxEL;KDJ{BRbaa}DE#Z!J5%I>%BwD?S-l?5&$H6RH<;Ibx(sqXlhIGD=Oh z1YcVV?;2qVx5Ld`MB1&=H#&B8e$P17(RE~L_OSAn_H!x523`$9y_ zdyB+L5FitCXqQE*Sm%gBvU#&}zUocpXK;PssDxw8plQSvMpOK=xd?gaMO>N41HS44*YQ-L$VvP~1lx8~ z75m#2F+VzSK&|e?KA=wFn&l?c{eq18otVZ;b(Jzd<_#V>Q4r&lIRFt6Q~+3mY=H>Q zIHi`T7*<=|9?pRqQ6~soKgy)w=>q5vZk!<{Fb*2_g_w0P;J{NA;Lc!hc)+$I)aRStp08&b1}ln~qi zw2PAv#@k~ki6}9^fB6=JT7WvL9|Im^0n#IbS$L6F7h5to0-6XSKz*)Rb5$q)yb`hLg*l_qMq$Hd^_Ip8d1o-5!$XnNORr)L0| zj2kM%6qqg8vxRazscwrX;8~80*5;=vfU^96D$WZ^0?ZCkSQJ_S=eU}K`=Um)SW=Z- zxZGl7rrv^Vp_qmWB?QJaw*2#?)d$vnkbqPyh^Usd%!WV{NfMU|`XA0?6C^UV?yzkf z!NcIALCd-$oR45rbp_##7P=*dpxloGilU&2^aD7Dus7B=4_cF)5AAyao-;TvA8xggN~^bN#Vx3Ehd;qNFDm+q-w+_BNUbq3iPV1K3POUpV@w-tybQAb_tRY z%>lU8Lc^_MOOvHZ`*`La-5{whZzhhuPvUr<_#{})2MyTFwmMg>`V=Y2T*_*vPj&TK zB52+MNTA*7yhZ2+6KbcIxM}QFU4}Er4p+ z0&DKbSS>u{L8B~aPwTunRt-GW6SAOOEX3&R%qxgfrsEN89r*fS0p`c^Qg3)Ax_*VG z7movl?@IAqekFQE3ZT+GKL}ov;^P&}g65U*`jvoQku$Zs86j*AJTmm6KV}!qUkv3% zzg+W+N%UH|B9trfCBNIR#84xQ5A#Ygef|;oMePqALG=J zGdE;h7Yteovt8FGy|x0EJAx}Rd9t`H9y_XtHfSXtUc4^BU;W`<6kADXABzqy61_O4 z0=E%6rx<-!s7!heiu>dasTl@fBMwCA*2>Lg&n2&aj!;AB&mY=+^?M z#xy^e2&xq5L@|?g#3^m}V$4XHk0}S(us(LqKtyw6fa}p-I7R4P5(WrM3+QLsS73Sq z=uecSnM-DH>H*^e#2vH{2`h;Y$_`A*ZX9PMhqg5_WkceeD2yT?^7%Z^g(2C{Q52@M zTX(}W6LKCejzfAii^y^gNi+_X!X$y=9wwQS;WWteeVl^O?h_jb#POkY7#cx9#X|*= zLlgtRGyx|ol{iGSRvb}ow95&jz$4*+eTy^Zr-D60iwQHPL@|z!n4q3EqbO#Yz;X`# z#Kpl&hJ`tz`lh5a?0iT~&;YF?F_Nbq0C!T_)CFz~OhnQF4%@;Ms!KDVBxa1gl13;Z z)h8h9MU;`p;1h7h|Mu4TFGzp0ZMJeqbq4EH+lc5)4t)ksg1W=h2^>xu(z(yMK*$5gT z#!i!zk|HV&?26c~(ms;5H9;(mMO6twB0|bRa3incv@b`&d{R=FMkJmT79|1P7GlH@ zq0&$nUW(Bh=u7IMjHDABQDiRlFl>rl^eU=fK>M)-rVT@}gmIK17r5L+)<5mXJN*1x z6Y&j{v55a7GJ(Ut)oIJ204;x_p`156=8EAHfmxUct#z=<(1MQJ`(e{I5HP;j#74Ax zrHLD6VuOw98e1H-${9!njUfKeaKQvv6gHrw;0WhM!7B+f4!4k4Lx!+Ika-NaYv5YK z73@Yrd#6iw2c|6^?I$@Vg|RJMf$a3e_1wk2Kg4m7pT_WyrIqb=F*2`@++f(saA7Jz zEeNl|=ypN`7uC$%r3zZdkC&zKd!;bCXS%>SA`V{C04#Oc9ih4geoJ0szcCgNaWA4@ z&&g1{2q&3QOatRy@x=E4fs(y{vy1Tkl(Z7333cBfy`L~L`GxESj-sRdaU8>)#J!&` z?VaOIh6yR3iW{dH!w*tI-VEaQQ0qy$tal3LC?9_TV-dO1>+4uWyrl-9WJ{In58CZ0iT4UOgJM4h>Q>JG!PQ{(?EBCB5=+D!)0XY{dBQ2 zdZhb&yd9&GSpvkd2pKMG{j{oP1^w5)c=M*f!4TiH3?a#iKl=nZ3=KT$d^DV~%TfW0O$l&5}|9$Wh#F%s-Vcxc$`E;RL}PW|9IfWXrAq zjA8K%^mAwUK*EGfe0UPX^Tb70=$AjXcN_DG50Fd^W0R3*-rZB>TSa@lvU2#(UOnRS znqN*XUOu1$N`U{jKhw?r#u<{yJmh<{LEdgf+o5Ou-QRS~ zKP2Iq-hKH6y_|;rEOXkDqPF&ibo>lZ1@mB{ML!D@B=NfBDT3E1tbuO};v- zqS7r0ZrIVzNh7W(HJBvaoj^JF@|)p(>XoIck4>)_HxOz#^S-bN(*{}X6tG?4_SELg zk=^SO_LpfTNpsBWm#}@oo!kkab28kLM%(cY67z*`JG-Z=B|AM$cFM_z7cX-lG}< z=fY`^!WZ2+yM13SFZE4}$t&sz?p691%tM;`#$Lgz_T`&iW|F$o1nWoYIxl|=N3F)r zHxtjcU3Jo}11od#db45#E{FfXTMy1ba>Z#1l)zx;=H&#-mtPjtcI|ol-G7|Rc15EH z%D)$VBZ+zqaoTTx)>KRTSUu+7ef`}ZqdnkjweFU=fD)Kb)4}4o9+$Tl0T^^rFlx4a z`Q}8eK$_m`y6U;O(}*uydll12+|)Vzt$<&)rTO^f7d5tk=ApA(ZTdl+xu*N^mD7eM zwnrdE(}cB$yIO(Il-+MOAf9Qc?nTc!p2j>rNvV>we)&y-Yg-15R%FL+apF|Ue8;Ce zC2jM;aZJ0CaFTMDZ}!ek7ql7O=fejZ5tQuzm->BU^XrcluKL6u}1hda>T|8 zAQXSD^%57S<{LbW07=r{&)C3HO#(`Hgy&%K#@e3d(Vl4kFuuV?RZ_F!-wvk!qUzB5iURC|tJNN)AT@H+qC zdO#$v6~RwKiTnT(!34Q^AWj)HklYy!AM0(ZPHx({S@So&tE^lZ>-zjU%qHcO%>Is;h(VYo4q3YMX=5or!|H z$u#Ku0%%mq^z+J4OE2@!KBLE_F|E~!IKa&dr+@k@K&W|%k{DB}q+Fn!mgeTwf0$B#Fe4*iUF&u|?$9F{bqQ*aqypcTfWTRZcvKx z^&GF{oS^@9D?vLZXdV7z65v~#&r`HHB_T_=PeLERve$i?Dg85X{>|r=5VyECqP#mX(wg?8!2gvyw?xTwg7i1PSF_I zYx))E!|%OFM8|_@GFos5gu|-8DB;l{oax8`@I=kk?kh*H>;S(aW?UZ_HUv7@Qq38A z4}?Xc+i;MP@4Fqd1>|M*q#(wAx9Vsj={73_Dv~Yw-t{GC4sVreF|RjS$Q=NPI8k2G z#`kQ}u_q_UjyPQ~q{9*BzD9?_7H+1HTC3VF)n2cAg-~^v;_SLQxVa(u*i=EjKgd7i zdr~%-mnX76F39&pkT(_-ofvKksy+ZN`qh?${N%QLzWI0`nx=CH`Lxhb20+=K_vQM4 zU?0Ukd=u&6ZRw0Y^*&-`IS#xWghM)wl=V#dmE@&86}+rI;I4o%wcZE5bd_|FDyS}q z7(q#$R^{`n-5cOR^@0A!^E)tIeBUS#8wWY;@xah zIK-lBCoCi!gb1CuFob_(+)RozD<8w&z7M6Z2ZLmBn6KWh;VVBD@AgE3t6nF3@5{*Z z2O-oWXgq*Y6SKZZsY_Az5+ru}vRmy73{Le_a6w2<@B-ugw>OSnVCbP0`8O2gcHj5L z4mOkG^CgD;sD9e9(@8JIyDi1LEybISp+SgyTZlUdk=d06P(?vzvn$~I%d=|52M}ad zACGEF?Ud6@8MA({`q_#Mtf~Vr6)s4i<$nI;_xEd#~t%UG{=0! z4#AV3g%)_L3Nj*Si=d1<5tftU42=GURv#QQGE0KsUV#PSaPC>yIaKXC3UY?3FXCc6hDEVwtj&Xg>! z%071_JD(<-K9-x^s(@p)O*S8utbG=i#50zuexJ3|IE}aauX_zA?x~h+L!kp;*7KD@ zr|LI;sATEx722Q!-sOgx}FQNkSMYUeWj11)aT0oefbq zIaYq`7vU8tF}P-?5%GlV*UrXl^h9PE}gT^%)O@s8r5hoyf-ywGC ziFs^}9Tk6gLn4VKe0qGV)$7NqteodvMWZw4s8h@-2pD1Cq6*_|muonBK4H_PnNOz7 zZP36x(O^L1Fc1?KBFvpoCd^mJFTg=lB6hM>5|4aQ>oH@^eww&!<9HSNLj~v1QSs!^ z=DT3qBiTe(SIIA4ka%XU-C5|Ns56`av_%7;g1ZK-{iGN443KYui&g@$6wE2q6oWL! z!mG*H+vvQc`m1e+fHDV2AP*ASb(d5`XXS4`_O|@ zw+7vo>A}{vVxl2jT;USoC)C|=4TieO<7o={!Qv|@-Po)kMBIY*AaYhq9Nmzh=3K6G z6K&L!-v!nZ=MT%SVRko4;5+4VWfI^||7K({qDYBQGrsf7l5{3=g~Nh;WzS!OFp#1l z>I(O$cHRQOlFJs(v$Ee|dc(Ox_2Y_Na+tAmLZ0b)mR!|UWW!2v-HD7zVJ2xp>#qa! z1c$Jmy&|ns>-**dKz#a7;qWQyKUpO%A5~!s(#@vm8idn<3Bz@8?F$$areLtxWL@hH zq%-Crzm;;x9B-~@V>p%LM^5BA@L**@k+mTk20p(ED>_g|0Jj%LpxsC!j`1@{8%T{1 zV@GJNX`9Zuk4YnTb;Av)1G(^QVND>hO63;!}M9ZgK0M@lwnXn zyq~VnTUSsI_dzGi7Rm45_)8UBq`z-9KX~(o0k~_hjO4Iu;aW7fUT*3Nm$NkK6x7L$ zbC*>Vn2}{_Z7%$^0Gz!Bk5yH3TqxUu2Ou;ImyU=`E%X+k7d(-Ypcbrs9}|?|=o)uC zYwB7S?~34Jf3pPgI!zvD9Q9jpfrJORKEbEy_WM!NhYO4sMLnwq0{X@Cah-2#fMDm< z{cM@@fZ>F!6K;Rud9G+g=z2*DgYoBqcd2lDHk+Cz(rpFrmK;EXC0UU2vQ;2P+{WU3 zC%ZIb`VZ=Cxxu$xcf0C#9T|k7(d>Xv2IZiY4uRYA1VbUCc$$J^57$`qKGs+vEiBcU zjMs?@G4HR`wzB@&k6!O~*j6?WM!WCl=Sc@Fx+Oy(S=iYCI=d?MMNw!zulRtc*HGs1 zB`>Q9|2rOYc^A~u#cd%+4j33~lj01+1twjWH@HlrQml3s_1yBzP8D##y3k;CSXP4w z*t`(oIeS`|RAU_#V}F-SDtAknUrn>;%gWg4TD4;!THL}=XIbs8$_+HJp(}DS*D0FL zB6IAFEfpnXpQnq2m*w;k5nCeCgf`I@6DZQ!+Ze}}yJ>w<(=hJHEC)=|s?gQ?PM35U z{xT*jj}f7TMbvsEOZ>3X1#q42j59{X%N$wQ3f@NMTiVVnX%kJQUBMqt-%FjMmZ>M? zYfp?6OPN+6xUcgk&38$+s|oX^9~?;{WniZgb?I;8Z+?$|iWaF?9Q9#?BnF1+U zeYGw$2OJtr)+NSF1w{~ch<(bg+}~Aq26boPLRwi&ta#{Xo3q;A>0>hS_|xU!-{{c? z1-wn%p8Al%>TraqNfUxK&;@5bZ!MtFno204fMctR4Qy5{7PaYnz@lY~3Wt31cTR=cT?86DDDsfA#istn4o1!3Fpgw10(xagN{U6JYA6dL6ephLOl5#-T?|5EZ0G-1jd)C1iAryVT_8)G@}K@t3x7<)BZ74NCMJexh_neG^_7T8gze>(MTBU00ZyftN);?$in6 zk@A3d__RGgp2NdG_vQ@{lYm&r-j+T-1?+c;PdE!EhnXo$M_p z9HjrIW`x*}w!yr-NDwg-S>ohyv&~iUk=J9YFOtlQWAGy`-c6Xo1pab{_0z(c+3|y_(I~icQ5J-p&4y$cGudERZ zhN8r1WuAX;+guL0fJrhlq+xv5yV~$W>}?T^UF zT7p}L{%yMB%g<@a>Znq}5CSZLA(N@?_sVp|WDWS6T_+0Q4xp{a;sm zgbW>P5cn(~P)RpZwAKDx30t9sS|T_P@86KEde(!hGO>byGbZTFzmOd09-gn4m+$6Iy9&Gr)j)jjnxsy`s>LCOL*Sx@4=|^wg0A2>?yH0T?lb%L2 z8{$<1fUvqoQ!bR+){sGyuxzZ?#N&&)Dzij)I;pI0WLYT-aAjEUV68%gSYBg z6=#H;U_V>!a495T)N-whC$&?{>j!QK7cJi*BNpzRhsL3#>Tn>10I}??8o$?SmmeH; z$PwECcClvug+%!rIjNJpwF6ZsyMZr~yw$3=IzP~t=lt2`YZA55Z#4rNC{v_ERcgHD z;3j^Q8@vw@9jRL|jo9xtv}K0)T&V}#YmzE2r(u`18N8!vJc>8)Cl;c=^B0yyvRcC2jzwUp+kI&GR+Ys@~E zwDw)MK?sleJ@q&$0Vx8`yLTm!rhs(~YOcJw?kep4-s+%Mn~7?<_FDyLsf+HYn}dSe z#5UjE7>L39D6#&PAAJtHizDGqhOH8`>^rzd(KEPC8HR!_bz0!Eusfc39X=pFFA0T( z#Sa+U*<4zi0MNiliyXe!-l?a3PvWsrKb&CzF_q0mY4gfP zMjCG>$k5Ot%%4=%@2d(1n~;${25~9v6KGo4(p)|S_Vp5d6tG+Eg=K}N@Q&8^%IMDb zgh@xr$Fws>;JkckFAc5H4J_?w$jaPaR>p`KhHM7$q$?DQ(Y!Mu zweeCws4z>75p^8_(TnwsShC+~9M}6^Zr`>XEMnR=0dA*=jirP~`>0NNA#rwmee+0* z;zX)HG>mWD)XvW|(*pgRi^eGAC~^{mA}knXUp7q^_A+DMPxTUM0f%$1P?-dMzX1v) zGspBLo$0b~WwO~#rGr_eQ|4(ll@34tTF6jfA0dtFgGbuYg>>XGS+3BTJ4{x@~C zto6E@F?$QgFT!>V@w0FDM}^2mc+E^EIEGa?1f!?zv#!~kWclpG03-#taP@@YhIw0P zoOLSP9Ka3^HdvF#z^(KpOmnizSiYc{zx=vXt4fHD=y!KYP(Bpjw+%TEuDU)} zdZycx98|flY{Wb(-2Z?3M~)%%=05gt!GrG4+J>f#{)m#Z-Pig6X9*n6eF>P)RrQ3^ zRY9QGF$h}zFet6j$7AkHnX(h%;z=Hugc*(VSAXZt8?jQ!E(Jf-I;YhJV5P^pT6Y2n zR(1zkg9?&~E7De5hnhEXhZ+Z?jASKf=m#9+J|k=bW-Oo}fM>!E|E};mSiCoq>t1_V zoo}Q8xVA~dw?07RUa!wM3!%iS#RAzn;8H=2+0i?WQ+J*yvvQnv>hf*No(S;uYj0$h zjs*-ZGCSgKN`Jt0MsuBG5+(DLnMrB5Z3;g4yirmnf|hi0L1p2daBFXhycRbI_O-k& zD*e9Opbm$wl{|u^eq4}Tc&L- zFY?U%c$UNuInP3gZs1FFBg16KFc?y2Tx?4*No9q2zgD37x4V{>Abpu}>d%sTp*6Bi zuav~{%~NDUpJdN-&$o)4J-gQ+!?lk9&%9CEG#DDhp9{#WE!4Wsw_Ai_(r9{1+i%LX z)gNpc(DfOpazmrA)rV0_tMIbI47jPQB40H(GR?ACDzfM|4DBoq0SC3dHHRgx>-Cxq zhISFcm(cp1-$5iAk968Z^t_miq9dLF3@|Z2GdSh-HaDl-{bP1Je|P)6hY@d}5&nYy zms`>&x9eCDsFy16R35?9VazUO4yc>iMf?p(WVbJ|QN)STfyt7=D@IE}+chhivuGRX zn0F-k{K9v7jAHPRaL<2O(jscCm)ZpI_UWuczGg}N+3B9%BYXNhm8HoXVFnvxf+dMjMU!gm95tYpg_=+JL*PDpx^lB9Z@YjMX5rXYj+gS*JZ_Jk&^Ap>Vq`c z@a`Z>?xrvGRCLQ_h1>aoR%B4R`AHH&41;3Ki)5lq9rN#y81WZ+J8MMXDeSP3GVcx& zXONxTho=Q3+ki|9UZi?rJB0VFxC1{-i^Bw2Q(_?2arC9d8DH?@TWJOk%Xga4OLF<22dsub88Z$?n4dE*e%jT5o95 zl8FrlCUqt;b>B4)Z0=fQuad1nldVVV17)+(v>h^@rVg9@ac2L4op|`;%cs9a`!Q_Z zKsZtHHWF7Bw?PB|#)N#HR!z!TUB86;8>OU5URtF7RnT zC{l4INo)OHpD{mbVabwBL)O<_%IK0n-w15@yzI;?Gd7sEDPt_*QCRr*8dul7JkZmL zER;}m;BqnJX)(#j1h0DAav9TJXdkV_ca#%aV^h#nDs42HaP?D=zz(H_FBfg>XiPlk zhXV&Ba1QJr!CBnYLfkjkP+V`)P;0$hf|4Ff4XrZ+?H~M9a8_j`D*!d{_{V52j$1Wp zy^xBZ3?0qu^*olGdPAGrWFWd2;Ey|y&_Ds9z zCPxq^PFf}{$p!cN9Oea|=i?9kH{yKaF&|d5_|?iVi+X`q!;H+ZcS$@HIT|}}I@Lji z^W>dIgaHpSUj$}%1{p>~JoJWOP%K77GzfjHIFe%}I7kTYA&rRN9`u~_d0gu`o{f#H z?-tQ?Z1fsH#GGb($}VXsq%37jOEYGk!~J2Y&Sw3a=qBi!le39O-9(cSW2Sh}v~IUK z%l2d}W+2%p>}5_S!Vx$T6VYC;p>R-B$fASk5TA4yxGxQY0lsu-5EXGvG|q-kKLwC= zy^%>z`gl0hCb^vS_8R_`2I^`@ z4Zsra&tabjHs_7KuDfkB2Gkl2X8j~5J=*PibU4%iw@5YIf^}Z*R7b)w#l^kwt{GL+ z&&ue^(NNZ894h{_KO4dD#WzBIx0gDdnq_XA>Vz{$2epqHiPLGxuLlVx4u2>*CJqqC zat3JDOU-9}7aJEAH+gX4A%_+ex?r=@ZHsXGm1e6^*6djP3EjK;AG(mNGO_ey(}gDE z9xN=>w9Bq;#ZOK;t;oJoPH-`glF+DMy83ZJjk#g-cvV*`EyHjSd4C+>sCCk1`l%bt{h(^KK9d${C>K^u=N6eI!VnY4xay#Uiejq9~N7G7^87-gZLlON#BrxX-M(u z9VS(9l1LdxV}yH1JkvMrBdCAuRjFkehlrz_*giHDT1U;HeX4uR+HI_s`L*Ue^ zl0cTm=`>r^{3?F8_1-W9b}D7ar7&&Y^I zjksh%lEQOvVyx{azB7{B8Tjz?NkxxpnR)O)GuR^#6OUs22^=7TgYv?Nv773CdH6pE zAk%}O$muW0Y;)@*jdW8+Fvv))bd-^dyF|nTtjGJ}`^5U}jU&&|zkQ#>EgfE#6G4OX|8RVO%c0na%X)E$hi>{(JytuI z?;J2Ol~wU@6fiA0PY4{jOY6nZxLP)Ph(Xv>wHR-9Dn?*yVit4q^@e`OJO?ifDQRierG4{qkYP+qT$~$H0kBgdK2rtwuWpY@y6}I&+ z<%mvCWodO$7~j;(i+e$oS9EBLxI?%;Gp^Lciq+O%`}!|S@AWtJER-5 z_#`L-ZB@S3Dd!`PCh=ZQ{CT~!*G1$E_wTO@81>M1qDhw+ieb)D&@N1umY2|Ib7XA0 zn={EoiZ@6}#wlO}!b#M4BM~vQRN)j=-K|nQiTn;eMb20=GQOxB=`?iw6Ps1YCQU_` z6)ngd`Z`9S_hQEBZZaD!i%K6hWH!-uaNb#J9BNZ9n}`~8gLdfs|6l3rW74s4K4I#Z zw|6gZR;#g@$}R4y>q@Ohfu+jH*3YL!`^P_c^G1Se5%ROD+R-l6B_jIyfH>bZ${f6z z&zq`hm$(a)he8i*sT0=g>VRtz8jFaL7M33p=SNghMgPZtloR*^OHO04_pc0Z5K648 zZR1Ry`M!TYEgUSd+P68IlKod7w}6v0v=+i)5Y*sS|G}29O&L87;{Z$q06zVW0A5iF zwNYo#j@nPV30#uO*+`nd0#CePDlN(2YjV^pRaV*>MYSVj6Esj#+koMu7vqyPdtc0u zCyP3)R=C^M43-0H3J!0V#Y%(lzPz#mFqd3gNFZwCOrQCY>%XQVj+uiO)&UgjlDRzd z-7vkE@)>(qv4Y3Gq!puyjlZ$S+Ej!a+e

      I5&CpoTiNz6^{kacF;Q*KcBE)wcm_^6hUU{cW6o zRPYQ~PsRp>Gf@TZ>cJOd#ilJ`V0~#?L*RQdnr8XbO0IbJ_X412SWm(STKJim zV?)t>!?irO~;G;9LF|CO$*5M@B_+2!8H?<(1zO8m2vKY)tH*~Ie~D`;SSPVD|J?nM#biwDxZ^_>K_Pc0a`JG>V-x>uN` zm}4{a=lMb(XjLs9YnT>YX|w;}!~Hk}M&Ff$;lnPC?$?fZvD_J*w|XeK|0=!zDpQh8 z?bMBsL`(~fnV_UbZNHxtm;p!Fj@A@juJOTL1LL`_>AruKN9lFlTt}@MH>lar=r)XF zshcnp*Qm>bA&V?hqee3%h_NN2InjNq9`t@}t9fcKdf7trvIiaRKVGXA(oS|$q`HIu zyIk}j#+VEmM0mErdW*J2_Y-{-JbAEw#1Fo+hbOfZznG8AOkgu}^~cd)z_R+#1XC)! zp95w=<KCDzW7o2g-A+TRU>k$h@p_+WBl7D$2cK{tmFyLqv-1#gL}t`jB=Odd;} zE5SsmGA(i2%aLBe%8U(}@E4cbH6N43va@J~*@7R8guN8Kz3l~WeYJ`;SbV2jZebCd2F;Zydv`<@-KknMZqRc*RO6xt zi691N=-jA)cVEoAC3>t=Z)}>ua`iPEe%ak5K5lB({oqI)=GyY@-3KkQJ1<=5n{LH} zZO2+%h9FDn;>VbQtqg*2%PNn-y`bg9^_lFX2uYf8~)wX7g+_r9=-O0`KRpD*c!&eOTKB<_O{=$?5r=hP=xACRr z$ITdj%xpE~c2o8$eL&k?TICTzo`t_kz;p8~Jo%fd&!zW_W@pRw&6ozO$lE-&lO5QhjSGU{_ z%~gCnsuQWYo7c4jP&6+$>g~4|PQ@ytWIH2T!N=57{pt5QrUooO{hdEYhXuaR9y=bt zoaFq{BVy}w^5i@5{1k1(zCK*9idHa{cZ?TfryS~Q z|8{3UT`BKjT`AgQ+cx}{s45RS^^r1@1w^l#Ua?SPYy|Yir!(D-zTMQHesulxBdrYT z?jsYb=ybbyLY}c*hq-;w4lJ?T}n{UFp5*~ebq?t6yADMb7&aKhPrp6yc=1%e9=JobP}zmPEGo$C3S?l_7$|=X@aU>_dp*}juVl7J zqAx&oBw$4Xy@(jwv;t^vR42Z#!|I)QRGs@OtUj9cU1V{eTJmq&@fpwMhT-I1r*d!- z8ioiG%*rxsHWiGwPCPc;@gw2juGQAMaSn;83OBf(<3o4c*~o;(P^I+pF{ zx@97z_Pp=t+s33>*p^)Se8N~)sVEpyr5!z~k@D7TC98`%<(*2C0K+9zQj7La$Tf|p zQ+8-b{)x8$tYwBX?|S-M^Gxp+H@_ZKz)aP~ruP!SweLF=t#i&DP zYH_z+^#ZjW`)hJ14@?ajQOqsZYuKlDk6CfGs&MX%2+<*HSy$&LVjEy=x^i8s?#4`j z#cJ0Tjde9u>tco4NRQz>@=i@-COf49Ou^c&b*d-bn0qQu?~QI#y*!+Ov0*l2$;|#%$V9yt^f-w zj`@zCB+VhD_89hueaaQ*va1*>*o;G;DPe?Jr8dW&fR_YoRE|^3 z$?=i+7LxUR!7F{hOYZIin8;Ow^D48~GGgRZ?)UUiQXV`(o`$hz7fkH(2kdwOQsh_| zE>}91-f?5TnIiXnm1ouFR@{$*$Oe4|%0>56 zswiSqS+-;p8AdPlD@@d${$0XnWISiZL^xRx$C_1Shw&R$`>uX{Z3w%XixJDLhlbl- zkNM0R#IP^%nV&Hn744~fePwi`jAi^bvye(#_(WhVmdwV6(#wrwDIP&Z@(wrA+K^f+ z++vGcGWNgLD`%at}+dZfFY~GEOY+lzwmQr8CKa{6G?J##A+ZpnmXpJc$k{B zWCq#d3zxB{{bj&HIHtqZ*bdBs+DP7d$rOl_csXSi&agdo40_kFq4V5}$M(vsl0+sv zd^up?CH-KSyvut^CY-6v0|&_;a9!{|?R0ibFwAU*cWlx*n}^*%TuY|ecEL3^J+LD} z+-Y+fx=!5S?Z&HQ#|i`VFl=X;j>m@M@V%p#IEBP1Mq-&NMz1kftkrg#aU_hfAuGDB7j0~r6?Ah5}gIvB+~iZ{c@<* z)#ef3NN2I&p|#%-71>T1d@3=U>g!GO_KTl2Ww3hU^O(6FC$-(Ks_ye|V;3dF_!l^l z5&}^kZ$3Ad!*8Ze4ro>j2J-D|^pSNieF8=>{>BM{#gzy1wB2^)p0SR{_PPFtzwx-^ zyYj_kbp66*aN|kvamN(D3eDy%ol&`nF;B$Sy+|Gul<)Nd!=vGQePT#F?Zr6d!*E%`1+}leC;UdoXfm>lMBFEdfzeq?iVhjW@?D}&4x_n zGiEd^FQ(Q6Jn6Qr8m}!){EpW=mrJ>?zP7o{zVJm{eC_b5yopS?N90JRlEDZ()7X5DF)wbYx6Q1?tp!*sZ3atZpmtFxwHZ8jvZpx0-vL}pdRo&VilRFFuYyBeNo z9Dx7*+meTgFCHozlfnH`mjM#0+&S04Q^^QAzD|0x4bDq5_xo-ZxPJ-fz1-uiEsA$g z(`v_XUYad-sGyhTEbq_DD|G%n>zs23S~FJAVQDe(Ej&JNprjyv zb9~n~3uH<$&F!M;n7P1Y{FIz&uT?3S3W}m2MT{|G`5qf<-7>}3=F^W2h|_~|&-D}R zYubGT#(t_j$Y=yLWtyszs~w5TV`fj*sX8j0%2}zD3GQ~bTO`PTVrRsG_kFeqrH@t3 zi`=etcf+w7I-Qx57$>Lx$8TP5W%BG`L5k;TJ^?v zeXK+AfEg#so<|w&Pise<6#l! zCT4%%@QHpa=G=IB8R&%Laxsma^VDwmTFYl-lZgr)9pu~lRaXL+1NHM3VOKvjs~yaKbVFXA3F&i=>#+ zS;TTLb0V+*^gG<-hK9Kp4h^OdA#^1h6?1T&6uK>7&1;OXpr=+iWJwJiLD51<9zii+OU&*c>R{G*Bmr@e)B%wfr%f0pc~U# z9MLNb{wGcl%!e9^4`xhw3Z}g(iDa}ns@UEA=Dn9aV5cy1m;IVX1d|i%s;u{C z#qVCeN6pnp!%K#7P^5DKqe(yuu;o#c6##9tWJ&xay9c8O5`Ob0XFfsRXA;H}!%4!R zSn8nodHN43%KS86uuLYFQ~u@$A_~uV+2SxLGP}jegBCA|Q)9ApD{keSkH0LJymP?abu-;IaB(Mc69uDxs zMOEb&zngSLxDc^;w9dTE@qUhk(|6AQ@tzet859C_qqd|meE)mB%R{TU0}@i0PO+YC zF%-p}(Q6guE4e$I`RLPETbnBn_kDR54~=!*A6navd%$*Hme1X8l6}|J*5V20jgI(o zQehl@*RG1U9;b5SDmaw>eetb=ZwpViiOucIOaL_axS8MH7k^n=8juFxWlo3l&3!4m zu2Q`f6*J)z<2WJC5c5j%JJZ>e6ZTp0UDx`m7Y`LI`7{2h<_{t2zC8AK!&}Vjz)AV) z?lHVP1qj0ot&r=i3t>$<-L`Pv4BlX@+qK-gFDi)V6_`@OJ4wE)t=iFjlFZ{|#+)8f zefib;CO0AA-1qO-u_!E6rQvtoPB{c^O63IubA471uTpe=hixTbD(@(gRq$;^62BF3 zSgMI()ybv6yP_`&t6suD6Rldg*H_x}#f>r2@wYzvOyv(RukNm);n{oZTSY9ZzUNyi z%eR9dL24lM|j@ab%eSpBbb!0#AQSB(1zh!WvDwx z-Kasl*aWf)iW+9$q=I!<_v`XpxsvLa)x@YKbw3pBmD`p}IogIgG6ln91_U~^WkT~j z%+mKNGJ{fXtEOb)N#ZH0?#l9yp32r{{wA&D5Bw2*Su*6zR1_vj>VK1(#t@XDX}0aY zC!U?EkYHm5?F)*=R`DV!Ao5Rtq_^C5YFBLAl_7S`N8M-8%%tCB9140FTS#N*&QuRv z5a$bp4*k4{-mWFpn)c6O`tb@~ot8(R5jDp~q3vIpM@HF&vG7h3-NRC$wH+=<6_{y+D)+b?8JBbzxGO zxVy5UU$Pgca(n9y=c5!SOyy+NMvH1vT6bAsf4ene#!g~U#$y5z*8qE^a#3vkp=2O} zrxLuRo^4B`^?Z4Au^b-hZzbIn7mMbpd@GsN-NAjWLYgKINK+@bNW;5Im8TNZTwfZ( z(v~|-trF#APGONpk9#(WrDw(WjPQ^XL2{=P?x+-n>g9Wp3n#F(3wm{6@+-k_E5&N7 z>AshUch2Iks<+j#*a<9^3UfPrQRk{uLL|$63l;gV|I%llU0~jtrQ1OJ&k|or#Vv76 zAaQM9=u>=yj1X$w9~v-=J%(6~5jK)WMg%Ynt?s{6=lwvVXdWANZm%74?_%HoaNd*@ z5eihJFuW78?gEElm*$oJUxkQgnN}t&~8&IehWsh z%UlV=KsU=VYVw-Uqp5<(#0Ob*UPe$Ls7!;S`?){fmi;$HPO2DL!3zI+wz+qEh9<7- zrX?8olIu*_cg>C3#Es}#!rKNpK)r0F(S>qc>joxOUa*-|!pwScQDpE!Gmfn8z1$}@ zH#2>2TXANZahjH*1{IC3?2>T(42^C^f%3qE?xEmtC0u+{?dJM1cFou)a${Rxs=fPE zT_--FJfz7p2sg#~NRCHx34!4g&r-`QfD150pJVldK?&nTcG7*z01nC0sacMm`@Ds& zzQG{ou^gyQn^P&Nj^;h4*BUiio<#BD(9+T6&X!v9+J1|9q{O_%YSL4=acYomlh5_} znXAKA-){E`3VRH&QKW1EdkG6ZGwGSHG46W|8vj&DTn>&a)1MtMX=>(Q#CR%#06Rd) zMU^IW=n0594(0+QozP9jAbGlqwR^dBn0Q+p2R0JVCS0&P;(u|@w*uH3unifT*VOyc zVIDkFEDH7i&MH~>xpHf7TiWtP+CjU);?kgC2`fsuPH~sA&8Wdt4 zJGj7k%A0`d(CcL4{rGx(`NT|?*oS`D?`c^X z&;yn$ml~{B?rH@J9%@!dq&N!L@ zooQJ*bgr_|Nub1{B(r`*9<$EC7E5ABrZN9BQ`zpsNZOreC`=?n=S%f5^K76PUjMM zy5ZaX`i416C!WrIhcoe*N6r-H4}Hx!UT~K1B+Lla6LI98A{<6W+9UyO=quVJxTiH# zNw&(S8bkJ9q^XK`J0EuFDN0xANKCpv3=>71=5JJ)%8*%&ELf!$6iV7ugwq|Gvb*ab zp^dHK4$wD$80ikm{5NXkfW@nDqDm>JZY0da`x*@;)C*@kOT99xh@lMS;dbaN_gvvf zN~4mIp+Xsh5~t8w3@UO|J61sKS4aq|ccD8B;G# zyeO61wb+sC)w>c&Re@i?hoqC75gO2Z@JmpZ6JRtmw9Z1JbBLl zjD@}My-bw|)RW^~i2$p5p346X#OO5(#z&KD!5|AJRnu z?Emuguf+Hl7bhg`VW5vmW+!C=4S@)Ecya|dCQNU{?PxTuP7G=x)b^S93|N-voayj( zcfY6KDTkjy5(?#uP~)RFLGQIYZ-%$x7=!NmLePKunjK&a(dq(o7@=NwxXj(xo!C3_ zk*BL5mA24$g6i9^yat8oOj7M(cC<>ego%52`O_UolXC-mOgNild~`u<93J#f*gk8t z+_S=$`$`;CMSM9MsQ}&2v8XwW_k@KGGpd>_Y|QAbGG0J|2?5iJfagk}T#RCz9jo2W zK2XZ31{10GOeF1O4LkaXu&$5o{A9ro5(CEOs7$8}(D=&HUTn?n%G=Fx_-^I-SXCm} z4BLe#c}!9{Mllj#o-T0cT=Oy@qsO})=nk()`)LY7%j&jK#pfrIX}FvqlcPgd-O!pX z!#dB(r<8{lcaJW(swOe)^eQcS0aY#u4_aQU-$s2Dq<7I^49mLiPIQqhPvQZMRS=Vn zhT37cD${E^0dL!_^abmY$4{e~HQg~pK;;NNopG=7#u1_O%9maS6W07!Sm@h}PW}T4 z&Vob&E8&E5p|`8on6aA;GtJdJet7Gy-4gsm-b~%`@96pR;=pd-GC^p4_Wt|7D+tJ6 z{|~bORM*NPYudeg{%HT&ezV^kw2$#$4=LXlVM9O#3URD%ZwR4D-r(q*s%~G&hi_c% z|M)99`glZG(XY%d;d9EF2({bG3A}(3&qetYjk$!G)rLV$Jc`shO<&~auw7; zW|rzy=IYQ3iyRwo)NPqC%r0Nb5-Xt*>blO0!xV?T1gvx0D~E-#2y}AFk%CHw5GT|i zS(e0##0>-!LwTu+*fEYJK8_t)>;*}E>0kJ)Du+H5w}Bd9rHa(WviOxZU}w&wLwoHd z#iuwxM5&J>i%1n&$?vpt6(JJVs9FOH)$pi4cLon_Ig-pB)o?6o=wB+XKEi}Yf$ zC|@$UTxl3bd6315v7Ls`=bbusqe|U}M-&w&iA;ukUQQm@*vYzSzG+$>(z%|g>*fT+ zOT4){fkWG)Y`3m3NX>=g;ixErYC0{1gG|_ z?88~BR45dJa3Rg4LgR?QnwFAF)=O1ZQ!C6OM*ow*&S9v1{PZ*#=Q)r66x&~vm8)p6 z=Zs6K>g_O%VIvFoXhE`Ea6~@})yim0W9Wx-O;W2^6!9UIB~!cP{ZcS4AG%Y5S^1?> z>xCl;^T5b#m7eRU>FzX-l*qnacD4+}YI4K6SL;zaW=oWkvx%*GA`Id?QEeNJE_XF#Xb6Ks(-}y!5of;D| zSqYz}2k(F{(OJY-)~?ns_L4Odqef|if{+3xZ&I)#Qe-{?Vp>_2^gA;_HoM`>o;uF5 zDuuy<>6Ff@5Ym7M5cB+0%yJdP#A-foVZqhS12&TjM6RBn!ref%a-8Bv%X^KR2zG4jgxx)LmuUIQu~kQCT{@Q10nYyuMoK8LP4!tNpp~a* z1;OJ+8U!V_N*A6ANF78NoC9wo!HXM9W@5SkOj}DlLMh_}x2ZrZ0^1XAdtkaIk&GyIxw z_eN9}jpgB91E(#TWNK&Y<4lh9Qm&XC8gZIeuVcEi#1SG+c%s*AQKEW!-v8P2-yBu}J5u3^d4%e^eb=?Ntxl%y+6L+oP13ge1WG|Eu|8+hhJ<8iL; z%ste#Jkt?Sc<~tuHY<6BOwI{a$HGHgx~awj|EUMO?{iSo2wJ|yOlf*LPpBGMX{3uJ zd_&3vI$YX#80!nflaN{NGZy6AkduqMq_`a$gO`GlOTp)!?{kEbz~M}#&a(+)Q`s4D zq#A%zU*Jl*(gV}`@#$?WNMJ1dnN@#Z4rJ=0YS+!!5g`Mt8WhIxMLMi+mDiLP*f;UQI&)dS}B8f1?cFG&1p?j4Z(u15FQbuRR z?9Ghn>tWLI&gfk6(MaxtbdeketXH6ufUy6?yiOOakJLf?OvSO@sjwvE;_ei`U2VRsB=i^GeC`^sK{}`O0_0D-g z7M}odrC{(+0u50zWe)n@$dt@FLxIEjZ;O>Z{F+_T4KOCLI-NiLHcn!%?gu)?wl`ky z85v^rDy(J5Mj5i{Do~`z1!+wQfm2T-*jHDm&I=Qbq>n{l{+jc)tE4vw?Z|JgWw(c^ zYy=2H%q$%x;zao(AYVlEjZo%|*pnm zF231kjhuCi>V-M>ZJK_nJLd7jzBj3HNuL}wM2NEo1FDjH69o8LM z*{SDhs&Z%g;oF+>#$*W}Y3f{r5Q86vT7+m4p|DbY>@2=`^49%U~#ZrI-wn><10j8A{+nqHydWnaE zzA-m~yAdnCN&h5w+M4HDn!x#w7&X@M*r?o9x`Fsa;Cc~ELY|~F3ITx{w~hhT=r@Pq zR1y-*7dMDyIR7_%kZE;g=#Y>tb#VR7SBjg+i!&R=ER)XK#TluhE zNwSJyJO+`&H#B)Hb9Z%L%jdhX_!8|7KxyHadmg zO@;GRZoZ^vog87#)$m+RO{R?)&=J*Rx$fM$7-dMT_gcF^>ImN3m0nuMrbdV0_&rE3 zZ`%HaS50>DAa;nl>K>|kyQ77s(G`E-s=ytqWa_j{{am9Nm-1ZqW8FmX2vrf^;kzXr zT$%h}&dDm4NslrTs-#b&yzvrXtDXr-J3CSYx%1k$4bk9+(_W_mct8@1n-DWx)0eI0 z)egE(VEG?t1xx|Ci=r!+mpcNy)k{d58sc`G7PFE;;s}DxOSPuA*nRI}+2qCep(+VI z=0(oG_N~u8`*3O-OvL6Rc2e)dcR$+y$7wED`MFm>^}T$B11faL4}6?JgH_63&}00` zkD-^PD{NKKYAl8W$0|u!AZ0PEbU+E?^Q!-QoqSm-N1;bkLEEtngo z7?yxloU<4YLOhzReAbKwxX4i!wHHzgzKU7QceD(?&uEh<@(Qv8-#`kHDX$99oMcsG zhA#AqcqO9y67s|XER~^#EM^pzk|txR5XC5O$f}%Q`lokdu-yLx^Qtcvq8PA&wh)QH z|8i!;W8E8++~s$<+)}Fb(CoT|gu9f)cH$epPPujvLp}_BEE{)$DaqviAYv#`SG~v0 z`P1xK3PB@7mb-2JmBMQyZd={DDxHBkKNuK!V~0g~k=)0;WVSV`EP)`19|;oq4+IHk zf{0OqNkR`CQ!lg+$Hu#encQ5%nB6t-)6w=hLZIQiR|lmhf>C3|-RvuFp>0zg`L{0|5t_F)zHdA|PL{>*kGVeHoh{ z%jx|-8Yvi0%8gqn?Tg;%f;Xn$gX*(4bpJslQ#hM-f~JB4?Hdvl4TQ42DWP6KEtExNsU!;2P#gx)=<7=EHjG-oOe3!$XHu1=ea9 zX4Ya*s6%`5a0(`mm!Mgx&)o;oqz|MCu^x&v0k7aDX>7$Ta{FL-H#F(vq4}CQ^I(qT zg!C3+Lg)Yb)-UK?b9(qoR$;7P3hjqYzTRcLVA$-vF!y8L0qS%hMFv}ad}_>B+?-OM zh^*7Aoqjen@vr)2G%Sh*8}l}*;-dMK`sgLGVBbYtP0kATN(C-U$Jp%d-c<|zs+rrb zn)nhLoN@>6lzLAOt%YC2bDrZ1a4^OKPmixL8_MwHqqtqtDN;h7lf200Y{vJ?Txt)3 z{O(~iR*%EayGC(|vxJZHHkbeQJEK?h{9Uut=#d2EDvC&9e4oTjmCwiL`nr2!-iOZx zpn&;}unVeJVfu#@v;b)GFtMQ!#p;Dt+)Aqv2X!J-t|B0l>!GhB>xT=Jd9U8`g^Fv* zlN=Z1GnOMvi5a}9p&12~t0IdAx_xD4qwV*~)1`WSZAU!M`^L#t&(B6XwUDduu38(~ zPya<%O`xXt<;7?ldq2Tpux!?)v`sJ+>o>d6BEp&Qm4}LYtLnm3(Vj04Xp=eZnwTqZ zw+LqEY|N5xHq<&zg++!Hqcpg{%ZBNZPSsWL*z@Vn(DUhH#M7T)#L>pc9<|iN{HFBZ zt9wZXIO4G0Q-;Ny66en6`uJe#%=>d3fOjZZ$J1YU&m&&D!AAiB7Y}ZKY8iNC`GlKS z{9c7e{(x^~Te=d9A3Gxw8<;RWX5a**xVay&-7`KZR5tXv1%vZr$Kf7p_?1}KgdsxJ z3qBj+6G6B$C>j+vpf*M0uB`&})@4tC3zhd-obl(3YGD*BBzZ{jT2uCgWA-FWH(dF0 zEDtS11LcN}ujPT22?0#hB{mOvcamP^EpA^`dzV2KO+c*5-H>D!vq*9NW4|*{7B#r>v{HAWkSX&0jLf>z1jjf5lQ_lv3 z-zm3(Px{C;`!S2DUt)sO^6tq!4qTs(wP?h)uJ%M@+%jC+>QD`0sjNs|*Y}KW*rHLj zIQqBcQGqs$F&7HQ)hL3=pvBwvYWqT<(&KP`UBq|1F$i|DV0Bk6!5&jA`9obcBViJT z^RoL~)s4%DQ|20+YtI{XAFI=)SB?hrk$mPz@^V@^SeO8m`@x*l7z6G~(mM)2=XTzZ z8=uM1Ap!-amixOgv1jOJDHE&*aLEkH(KC*GH{OTMd-<_yP+4UNA1obluGS-kv(9GD zLRw5ut1AvCE=DM4hCwh<$io%PQZKm`(GTX2+LSQ)GQ*Cm6YJ5jJX;Jt?AW!0e!Ve% zo6_X1-VMB7hX{_~#3_J;&Csav_`3D*orM*r7nR!tn#2$m6M1oxnC))4Ce9PsI|&T5 z8)NL->+7++Uj^T2mok;H{9x%-!P9)8u+|yDxrcCEWKSoCaqvj-&6K`u%5{kulO$@( zIA96fG7@?j`1Dwl#=&-y6wBs~4kQfCJr9p($Qx3~5-n5DN%%0QBDL5wdPU#OjB&o( zt3^W1)zg7iSc&u8+$%}KpX7q>T*BZwy(Ntmk@HAF3!TA9E|?xHhnBK06d=_|-dqz( zm1k}lbM%%DpkEK|rE)9TiWhPbk=jX_zk#{H=}_}<-k5Ha%nA74Mbg%4&9{b}g4Qo;PivUFf#AM~xV@56YN`%dVw{tisrj@8Wp z&QYew9VY7OSNDBdFC)4 z_KBf>$F>=coD(HMLRw-Zhv~|Xod4!mBrU-V)kadgVxp{Tp0qzmHk1wD9R= zEZ%&;b5wSY)@1^eN-T^4n^J4Ya+Uf~_{UhuhSRxb1shI!wCA-XKRS-u{?cG>p0ezsZ z?SO@?ubi&kVqUj|HTbF_3%Hr{68>o{hPF`Y~3xP1U@P^4Mgl z7sXSDDIcPmZ>yN{mAX1OdWB8G00UdLnwREi_;U$M$vrZIcT@L@kRc!DR)R>{IH+Ih zJL>ZP&l7!3Yt^)_1JWy1Az)zOFK_u9&``T3PI~Hj9tfwHUk*AEwiw3vWyfHL6|9Jlxu5K(OpXnAr7`yV{-A% zlg3P=a~P;g-10}FXa?3yy{b>7x&y5S_NakKO6I4*Dr`RaPtfrOc3&tOU|W_Mh{2)Tg1{$X z6s8JtOgqD0&51P=F7>J?)?9m05HHX-yL+6BI8edR$1<;~^X;iipwR~_1k3??<}$=h zPM@Ac7Knalxfd31*V^-$UX-<;s3W@z3vQD2#!0{P*=M`1`f{kwo0}jha~D(b#_gDB zhdUY;c3AE_;hz~g&a3zFc6GjwDe_@WeEm{FXuCI??cRk?*fZejk z%2Ka4;wq>=p6LoiQ}8rUrXYz!|2XGDbXd1XFTRxEwd*Hd!})loIk{vK#vyok&uy*V zmY?hD3X1|?JbUK%je7iqEasa#QL<#lMZXr}i*jz^*nh-2y+5|R-GWVB%NcdSH!lJ< z5Njg2GYR|){?FF|bkqw^Lz<3FUNcYh2atRe4!4p%Y#{w;S8y#GRw(SH7;ALWJZ1%) z@1?7HvgQ%T7&a#KDEc@g9!SA?c2aK66qpxoDAEu?*`;h&pkXVIfE zapSKU6*kW9zSNKYJk1IcMX%dc)-RHg%4X1AYft^b+c7GnE-8=xMwtAszr2VIA2B|0 zmcMtSP!rdi-~>_$io{yn(&OucgqkqhZp1erop4%+LW@Y{0_e}Tt@uySGXOM_RzNww zX`0BQ(Mc~45OGhW?pRSpQJQH7zQ|Wpu~&TsOIC|kDn*kQe^e3&jBZS=;)yP<0)@@F zOi{2Yc|h+~odsGbQcY1v1uFfcy!=I`lBft3V!t8DJh_j_6$SmqiN88_R}jNM3Uy9r zA;=X$5Zt$#DTs5f?x7A^5`sbz#43P`?|g*)qK_;ut4R_jh9uVG7u+ zFo;oPlLUrDr?lM-IupDZQq0X*Wgi)7jJK`UA8+5bd@}tIYWAUJ}Bs|niu<9ocuNl5zc$*Xd9jRtFoBNhMq;PY!x_$ZU^;3zk#rH z`NtObLd3}r^lT=s_eUpWcnGWu7#3@AXXfq!1_HfC3Gw|z%x6g)(N)BPv7j|{hIhgf z5*s03Va_oT5OD$aWd|Em%r+X8%H2)8W^ERcZ?g!!Y*qMRk@4b&?-;D`Q1MBmKa_N^ zE>AoVNm@$SjV1?+%_I^JPB6(mStns6Rol5JFLHs_wi5>&%PbZ#SY#Pk6g14sZu=t6 z+sdW&(qOmsB!$MB?ra<4TaJuiGh2)jIyWQ^0VPwfzwkC>CdzmZD($HzF1gJmWs72P z31CGJy?_zVMUjhrSrzNaJ7(6ToLx&EL|(fNIC9p_Op?VYTREz1HihmP`k3+vLD-B% z&)D5-xv^PXa6rmej1P_^FBl`6VTg`>aV#&A$I%*T_gCGS0!~S0)oe4HZR!=$O$6z{ zYF_tTeYTQQPC@G4>7Pxp5KZ(q#|c*1N~X}in2MpGfe24nfhpsxy>;^uf%K)v0goT5!r3IAFi9= z?vLalXI2PuSg8cmJDQRpCU|0 zKpssXgrRbE85wAXjQsUgFkfNF154~;tal_2rg~)~j}={}A(2$fSTg=A{zpSeGD z{SZH7eY_IGMB(0i?yBo44+m=f^xHcxCCwC!KXyW!P6D9LXM$5qAQj@GvD?iU@HUzU z@POgPGZvc;+n%`4(czN`d*)SZw;yU?Lc-{q%FHads!kdCpM{hGs^_a4z|vPa?fS^2gwbv-9U}UpCj$(+Jy& z;rM8Tc_V`t1n;$mL=0@(94uK1HGJQg($3}#y_Zh>#>8L#@)-7}AYs2Q-c3U4u5#0% z;)4(M#od=@zEXM#rp*^|{6&(lh%_BKbSvOteFp=#zLd?j_DnK_F)M=dsl5=(zaoe4 zyZ(w;aT^%-`UPvOR9*SX4Ya(rZ+I~(G}$UrGz~ac^AFTpS9YVgL`}E_DJj%gxBii8`9V2mS zp{Y1?u2t*q%5^QUo(F;d*CNJKv{>K>PUyaCF;lw|#V{_1cF!ls`_ha;+cPUKTB7rO zKj?i zdZymE+jh+^eoPXYP&H<9bTIE~Uh7XUDc&BvR80-B%Eu0RW*|@`lWcb0W8Df=`aj;c zHeTXL{%}l#e&`Qaa$&v@A*yD|WL<^8Xk=O>4JMBXzPUZFAS&z%(g(qa(qUMW`Wu6o zey9y&T^n8M+Vi#CT%q{%!MeHVqI$iipAR3t$Aa-#Fl2(T=bMHFEn%VV+S^qn7Jy~K zoM$+3=nME>Lhr)F>Du+WuH5x-Xo#!8cN(Jh8umEy)(n1zi8#p1h>Fz{^w)(b%3Kps zg2>_iBX9Ms`$}KZEia+b;%eyHX(ri3VIacXpo1NkrUmz@M+!%vX4hT0=2}LsZ%$OE zO`o+m!}5yuHp8ttZ*NCW(7U>7&j$=sS3akKIkOhQWY#^Nd;Zk+)ak_LZ7a;Y2bwe$ z4SnYyf2Ok|U+FwAQO~`r@oYB3Rr~=foxG0IWQV!aA3RW;B}EDiI>{P=WxL#0DhX*I z*wNQeLuPwfuu4;vT+{q1FnPAaRzzf2TO)yz(S@V*cc}^g?oe|W?tNdEaX1H2p#Cfy~7MXeY_+=8+kJgf=di&7vJt)JPE8$Zom^eFh5FjA%EqVO0G)*`^?j zNa%{>LF|Yx5@x9tRS|`fOJmOL|NceA)r_Ob*jo2Pl0FbBlC~HAJ%F9y*9Eb81&xDg zFjacEEVjo|Gg=DrnGq$lvL%0hmQ~Dt22FsY6RAo#I z?uL=zgA1n9Oi5Ivjvw0^RuKI!4VUT_-ZQf5k45c^%+f3s@e?p;SK^rpp-(OPZ~vlJ zgsDY2V}pVqyVrnJx||vKPHl@#VqKeglV`rXj%nYTG#RI$n#{=zyA`iU(tOV2zlIiQmjEVVym&8O<6U;J z0X?*+cVECxei00}H9dM<`Mi_83a2jK9IJ2IZuZ%npnJN>eAm$tHpl9@R=zLwS>;PD zLZWHKIJPq=^M`J#Qn=>%box}cE2jZQ$mRfBAY#IXq)>ogUMfc_Ql%Iz$BrAqaqq$$ zW1s$Lb8Koa^I|W}h({L3^y!H;r2v)XzN14|boBJl^xd!(BIU#uheTwP^It5xu+RGD zZjl1h-zz65MJm{FabfDqXkdXd%N^t8SaKCQmY0hn$cUMSrp4*lG#}^AJaD!Z5hae^ z&~){YzE-Dtd-aH%Mk_#^onndwszjs6aZgjHf8DC>z;scphc-H2*#sCaU{#SPm$EP> z)Z6+?2|H$2o%fr=a267j&jcb3f#^~@<)IlY2p4QH>5+3aK_<|^vqWA zg5wA##DY2@p>L?c=Z;#S2MHV`cypLgd(qA`A1O6CDQOXg2{Cm^C|AAijLf2-%xQK< zmUs;ZK?N>Mbivq6f27NO536F5X*wLZ4%G|n{XJcSrW=!~i_kmxEqXx98;NSi^QuG} z$re!V#D4~L-S^RqJU9AT;z+%qo&=Z5)%fIrU=$X9tjJX^K1u2^tGO5(Ee!HUwEd^Q zOW+jVF)+GO&oVVULK;u~wIJmh&bXdlrR(A)nDU{v2B=Vte?YCnXqu`e(91%xtZ|MW zi~biMr>0dX} zt}==UVC$va9II~ZoJ^j?xkF~?eTCdGp&Pnw-HhTB!BZaNp*vv~X_y7>AXB;(m>Ab_ zsC;q1h&>#tib!K2@Ks?-Fe8y2ioFW^59ur-WC^y+D2p|E0k75{)xtN4So{aLS^Gh% z@dfzi|FENElxY)+Hw8AgBFF^zlTo-+5@VGzTh}1as!}@3eQ3~sWg;N-A>3>cv>H8T z&!qC5VV7X3;3I3@GIev3uJS~MQdAg;TJpdrIKWbcJf5%JA3*(+XqDtsuoshzQb@jq zq%xuwe~q3Ur=r<1#nZgdD4yP|_G?-CF6P`P2(i-h8r_Casf*N&NYI(vUs7e^ZXoY9tSICErsFjq!O z8N^?7o?=arg zA!+pUPeKdyAr`})kRPM@Ul6|_$(NW9bf{WzF_;gLFyU3i&y0s3_{mZ@WA3MNkW760 zNHcvmyFLlyoWo;tSsv9UbPMYU%`;P4*a-GvcGp?vJTjhP=b6}fNV&s}h|(ZV=4^iJ zS3di!y3{@0X_Pk(J#gq8*0VJg9lx|wv*nH>qb{$Pen6-T9(-|L09j4nQ|wZ(V4oxh zCyrA*@ym(ET!~0#^(59D*a2~(u&g#rQiL-he}5(@9HabP$yeWbPkZd$3{z{*Gk*D; zUqpVXEzw3_(W~T;r}8VeI&?6B4|B1SIiHw(G9_1aQ!dKrFjl z6ozv~98R9bNvx8c@QFi-_jWIZ#heRI%`vp%fZh3uE&57%u;5$|#<744yE?qB#lk-- zev^07qJfyHX(IQ5^p(G$=Xc^oU5y=nCz};ovS=i=koR{aKXZ^yrR+?nwN7Kor`M~? zhoSO($86Eog3O3jA_#f?&)(87oiP+ZmL$?T#spL&$HyaS9G9Xw8!CG;Df_zGar+g8 z7u@&z4jUb^{5dBoeWI0~F^S)}jU&Ts&X8KqOO5LQv#$|dg)nXRj!fctVzHpYCtBep zL$Q0{;q`3>(R?P$x|L`}mjtDJ77BQX>o@0u9SmnL3nrd+Fy z{@fVQ_|@%eBpJQK=JS^qz}VMyk2NhAOieS6HBI#*F?BYZ#nk29e@eKbLwUK}2)J)8;qa$ zcgMDRyXv`Z23d@PP-(mzD6mPdGF~e8FuA8s{`K&YVVbb$pp0C04_^-0lY0d&q+R5> zqr&!cKZNJ)N8->2t1wZYoH38brmJ4Gmry8{GjEPo2{bh7Kt*S-RYDtrRq8|}1UgW1 zs<4HTBu1eHi5+gPli&)LPN8$GX-bxrn?IGl2hDZHbQoQEskhqSUAsGvb)-^b&W=Gt z3)W~3i@TcPWr13PW<;4(MxrQH?Q~8&PT;`Z^~PmN4FKUlVdWh(m=IWDUXIp)# zUt!NE$8Y6%F>ydUQb{yklNVM9wwl z?aBGZ8_;X@uy`oNB_jljuZOKGz$hQek4w?Vo2IdR>hUu3=<*fej(udVS%O$lidmeO zG7x7iae)t-s-+*xA0+wbre(a`vV1U!Zvi}?l1+V}dAwCCxUX@8Gc z1j}{R97_EJU2dOwE3|d4MED)uvLx+vHMrOMxpL{Q)}9aTd(`cP`BL}~rv3{~b1=D> z=D0jD-g*7$cUl~SXT@=fKHc1U+cr@2Q|qF(F9*hnTeUEW-j&y}p(5eQmDf)se%2d#IUH=LC9;{;sO8Em4%vcO|X- zD-=4LI55s(iv{OeF@ZJDJ@{uR>3c$#R)*Wo%4goLn#qZ!ssqWVpTLSBp2>5&`SklZ zRbNZVZyZddsn;KQnQZmfg{7tZ^t&7$>@%N!q#ur3FQ3R`Ph2Ycs{X2!*v(_?5l}n%RTwI6dY}jj!wjk*pv++SlH)+H35^h)8yg>qEBKvisWq_j12An{Ox}# zIg>V6QwRlI(GMx}623o$T=)}a$-&}}HL8~Un*T3#?+zo&wq*0{c+qq8dcped;)j45bw|A1T};ZIe3QxeR6!awJ|foP@t|Tb%o%Lnrq5n)N3_ ze#wLy|0$s8_7ff8&PJ$^R7HHP3It@<@P1S23X+h|jUW`CKM0^7DV_uRj$@f;kMSow}zk|LQ|GO$s~DEkukpJwbK&$IG>?%liQuyU4Vv+Rg4 zzCU{QvtGXHEgnAc=bvm&7auI?dr1bh`Nw*|weoDS5RzR3q}9*%AmL ztn1Jxi9iIqa(x>7^KLag#D{9TR-(GjT=RZRfyQ<+9)A;)I@gbuUKRB>)=>5P(8Bk8V8Ut7KZYtqPQ_)>5De#TgMHUto!h~EQ@4Z{8;o6j z({#sUVb=lzceA_~TfOK`I18u-eir>raqemb&)d?0{o+jYxM$}UkSBj zs12V;SI|3%0rs~r-m~KV?#4WELh*@s zq3q0bt-*lTxh z;d)ODn);cCGI5FWO?MD*%KU4t;4s0?wJ1-Q)B6AU)sMm~k#NKbl8A=&FLJ0>LYFCc z01VMjlQ=V%T9SzrpK7)$#KS6Yppa?$-~(SL`KauU8G<2$Vq9!E5Bq?8hVb^uJxLzU zl9Q3*P@I*;W?WQ=CpueFts0NnYmKc)X5ZZB6N()%>XXo zMG+lQf-ysSA%188p$MWRGLZ8UW<;jNIS`CTJcq*wvyr7?YA$ItgEt)q5v14!TSkZo z+Ju0cq+uUZX|j#@6zUezVz@;W?eoMz?CDi&pJl|S5JA`~8pcVCqmij|FfU9s$B0dl zYFnx^JwgnwODNstnkdXZPc-C#S$pDaMDN0|KYW1Y+rlncbrn96TXOTf8ULLp)vCut zrY2~EVv8uJ%6_@5x~9-M9)ECBKQr;MeT$PJo8o>f$vb-WGM;K01O|_Pf9Oivy`kS+j%%xilZM zNj7f=z~K(=k}|7^q2UU;j62EV4_Op1Xi={iTGMYMY*6I;CSnnRtsiv*VB{s@ViPFCsN_h89O}`O(`lv{ww}O69z}@i zb7Vt~SSKXrUm;#$R3ZBb76bt~WTKlH-?|2n5{cg3L=+Ez^K z*&o3G@aIfXD~Tlr?Rj9_Gt!^R(w>&ELQ=A2(OIf?hTn`=PNImFP7m;zw@Y&JablHu zFY?n_Fa`@GStD~BHkv|Z zOU(O3s6ojzwOR@&d1dJNWJU`*iZ~wjUTwGPw#v)uY@WRbVOvJqH@u(2iq*C3(5A&2 z7B_8o~; z&+<#bL#3C5Dhld)O)T>}6X2gtUl{a}OToam;koPU5noHW52inPYgL5<{rRy# zZO+*Dh@b1k-|&t%sTR&-<<%sy!9w;`Pz^Y*6!X7=7 zY1vy$p8c%46>=r!c0m1sqi^_tkeW79Z(xzdNja`hcF$gd%xm$aH@E)Fda=;{aZ@cV zugdSc@_1zb9x)Tzb46Fl-0>~?;P*`B)TqmYxU7CdCUR5q-G1_|AAa%fogVI6d{4)_ zZF$7*2P3#G7SxHt&R4~vuK1|y%7Ux7w%Rk`^PacBQsk#;P77Q%k=^X!~7k_l! zj|53`a_n_^emseQ8Z+3ANyPQw2FmyYbz#H1MgODke+-aG++tuBH&}c0O28;E>to0G zFq==VA>H&%D1qDr22xu5F>SzG;;hqPBH6s{B>PS&+Y`ivAKmz4kXkXsrLKcX z2aPOONoyQWcErGg2Q)$0UF7wR`I3)8hMHK3v)>}8bEtP^eqDa(2+t&!I*!#1jzY;B zhU_ywB`4u{bPi?4j4*gee24dw$C_#Z@_9b`@^TI1ZSRH4x@${8 zOKW-V39GezB%cnt!V4c@eqs>N5sMl#Le*~@+3Tne4qQJiLGlE4mRa&Z3(RdW?6g88QLPDPMts(RX%wzMilRI+3 zZ*^7+&Z7-)YlZ07BD$j&L=H8#1!F^1*xxyvF}v z2_&9}zLbeTrQdmOOuT{8;AmY^K4@pWu%u3cJ%&+G+xp~SQ|>8KG^MjI|)d zL1;KNR!n_Mf^QrGqMZnqqY9L>;)*939JgOd!*~zZ)V(FOI|FCXdcnS}%a*U{jI~Z8 zM{d`ZRAy<&d%m+dvUywcHJyF!5)hWSoftc(nDVCRI0dk~sgE|Wbf|BkT}7_j7I*)0 zlOHUF(g+x!!x-GQ#vbf!7d)_9?(CKzs5wEBl2B%WGm-}bBx#-U-|YFG&X_SbHh$Z% zF>qw(Y#178)6tjj>2#h5JcsvaqhN>;2nX#NP3MmlzC$ zL)#7;Do=X}!3xl{BYBsKd~Nt}%|(f8;e;O`8z&K9O|f89WhD5&VNZ#pc{QtN`RRz% zIElmCkw;15YmwEz$eNg}*_hRHgiU2drxp^{Vo5YyeT{hceP<_^GSpev3fxgfJf+<- z6eV(hP9WWj?3u~#joH(S+852D)^I%Oz%aTHA(z;c;SVx=cZgfWh;ERRS39Y9Gp8@i zf_+YJ&aVdr0lPgf%LGn4n|~`vXAWcpBo!QF1lY_@CwZjb+9f6d-R?rEd~jI>xkU?v zVX)60-R}V2cZKn7R%IhAB=z7RE4euqk)rNh*2OpZ$61J}aW{XQIUUKpO)qHfh$Mr< z5^!&Igv`b0YAgcH{wKd@o>QoF+=XUTZPOL*2FJ~Cu+Ja|`=3EC7DufxdiPm8?;;Bk z{elTPA!ea)Ehov4CF!%c7p1s^h=f0*$a4LQQvByau#5Mku27Pm3fj&bu}3(YN$B;oMoQhO3fizHu*w2 zm_lhFAj{Ia8F9am-rCljt71;5c06f3`cJZwzX-+IZ7zrsLrfQG$~efZ*)w(7LrdR_ z`#Fz~>K@#@G5urF?0GMki^;+HK4ET@?jE!jLt?6SMt?E49IT{u^+D#@94z87-{)Al z8p$o;po^Y=S*k_L!J27bMZV$Fr;vfmh3zLbdM=8Ys2~tsh%VcZh_auZb#*a2Z{^Ud z9atBv8v1NeKhwiV#z$-cYi>z|nM4>=#U~iPyhuPPqk%MZ^c8}~2x@TP?L6BvSUUYG zn5bl=YL#0ds!w%@P#IM6We_jnYV%GLRRxp*r6_>T?zxZHZZ zt*~$??2!=-w($&oW5Z%8%gvkvPN6dk$mOQ#MnS<)5IU~d@fBoAPJv=sYBAjb(`t|X zeUMIPb5XkPw?uG3;y$=h<$o@!4MP!&fA(kPa@LaFp(qx4GZf(S>iA>mI(3`xD761M z5gyHjHyttUMsDt@^m5-d`5@erzJVovu6OlTD~&xo-{jAiBN5Ka*p=rRQ`|;NA@EKY zO~>3N3e_t;H7Us(Cs(~iMci)Uqx(J%lORbQO3j5GV6|Gn7t$jd` zV)f>;t~wOU9Z#;qt}ll}k$&`F9qV9T3eIH6Kee5`M(2>`{lmAid+$eY-Cko(%1a z!xqb^g~Wr~o$Hxkv5rQ;<*wUGBp?*x=iH&TdJwAUTT}7a;Dp1xsh7KFm;`JUDTA_) zQTEEr7w4~ObA-reFCOiuVd3^A1bPbi$!j};7?`72I!!mc+ialnsa(1KogOz@!m=q( z(oA{hS=G-6ZH)hxEn7-Whf>d^J6X}K{5zYJle2wDi<7$;*iGf$fO_;@=Y9;*7iNK+ z+ha)wI^*zReh+2%_L_RBd2cw8v{$29sZe6R{Fl@on|kx*2V&_T>P=Ua_cr$%vm|)i zSttc3lUc&;ogOb$L6!2>jMu^xb%R!GRT8L7OY}bm@x=3DPW0$IbZ_iASf@!g#vlqt${edspf;EF$b(W^(6#^n!!i8g^96XqKUVeWU8uRY_Y zH+v?S$;4i>BT@lfl%AlCNOg-d-zOit=6p5O{qngdIlSBFw^c(G?+Gxudo5UcLEIAu zx!-s4bZ;B8cGeFh58{E2GsNhDMt&qi8NNQ0{;aHQ6t?Sy6F}1-b_69;lqK}NO@Xr=MzU59}B|jE_XvQo;1RJaocj| z4JZzu>%IkVIbj4;KKmH*5_?CCR-OAd2PK;oRcuJ)w+w& zdBBTqPc}VihGtC_oS#rm>|}Q)bvi3&)1B>o@p(gsDwd+0Dn$IhR{)&@gnUDc!u#z> zF53g+>Bo#yDsRBF)~;p8GugZmq%+tavhV0FDpHNjH)!n9On$MzuJ;+WUyCNj$f8aD zLNT$ZEq?H7G2yJ3r;;1gqNvsq#B_f#M&hZ%UcaMQGJf6!R1AG2QM#KNroMcuk|Z+y z&O90SBBJa;Z#MDJH?2maTFD;mWjCaatLUj{xFbm9$4f^EsusUyBg%d-o+#>%BtEod zb9;ok^-}ZF-REN%z9=3Fx_ejpR5QosU!5mQb6Se`G4ftFaHJfVxBHq-?OZI z-H4)}l-1QonVWe6|5lz9dHxg~$|qQ-Jr>2vVVM4DJG$C)8J61)lu-ZX6# zn52Run+!>@9c^lHEgRE@;XLhAiQZ@Hm}gd5-)BmL^@eYJ*E(ZR#F=S%{Rnm8&y;DD z#Ie}e??WnGWEncv;w)2doceUaLbWhW8D9w%uj=n_&IUS)&k(eN_?khF0L%BBV#U` zdAlPcTR~oV7Ei~b{cKzR2ricADE%34GoA?BmWelm zmyuxr%QGMisPUm&7+Op(&Ex>dFwdfZPnn4oIIHqg$@_E69e!sXv;zfo6jn(5NX!o> zAic9Eu7^V9WN+)$rWK};J}2oE$Sjyzkwd;Z7#}3lYls!Ba#F<(Ock!zjh#qH$^$Ew zXaLy-JL-oLmZeozfItm3<1=uW@)0<-67hJo*UM`R$)To|Ff&604A7d+*7^lce z8GTLlLuq0m%``G{Lh(OKt<0gHY)PLK42(RLjqOuBzrITdcmh=-jOm(2!8)Z;Rqs~C z6H`WD{o?o4MZ{h=^HpLKR%f%*w+XeviPWxrIE7W2 zi->!qWD(&;&T8!#s<6|xf#O8h#fsrhgv}Z9D&FfnZ{Vz-88A+(w%wMydR1~^uEmMW zplZVcU-uGYo4_J4-@Cu&S^ zKkPlN#2)ornYVKL!I0b6Kau;9?4t69b0)ghch`g0w_(WW`j>4$>yKZ4V6mI7`toPX zww%wkG3!``V3=#`V!Xs-cO8hzzix>S1|_B47SUS z@cR+1bmqw?)<)1H+v8{>Dl8pm0)_L}o0u_oIM1!FN0ZC_UP6?HN**8=S`z{BT!1SP z@#eABS>s?LFqap{&hYLy$(+)!SAucGguAFrUwJq1voU)(X}aH^zJ^ueR`xUsJZE@b zo#qa&tL_a7%20ZYrfdG>B7bz<^WNa`IOO*eGQr=IMM9l4QKt?AG~{qLx%t@3J%x*Ay|Ei zF~2GswNb?BiC~Wh{yK%2w`Ij2n|fuen8_9K}lawq2Di|Pddh}7Vn?5F5i2l{{O2J^tVlo@p~P}Jv_(O$Kf&i_ zoUGW>WIb;0%uGHB+?e-JIU4l?pA-mv_92Ze`iuHbZbOYYGX}cE0QB|0yDU+Tc>5LA ziR84+Sb`ww_eH?YdVmoZOTddjpA(PWbUX(6awg5zz~yWmi6`so%?H5GMg91I+zQp-m!DH?ltI9HYb^z&gaHh)wdy z?UM&H6cm^{mE2dt=8uf{c$PjK((B8TWBd&V1Qbp0_35J?Q%H_Qr-JdK2rF@))bEqV z)1+=64Q#)cck2%t1Tm%_(2XLkH>2v_CyFnkkv~Jybbwk?5O)U6F*sB)Pr^QZ(5KI4 z&`hxcb1aFrSyfv3Ax}7rkUM0O6I?U(cE?y!HULXNw7<_a4y@{BGO%)!koJkAA+bM8 zOq%2kod_G1P6QvhLzv_UX7h$ELGR>z*sKSH5zP}1d7>HcmBgn*)6~9Yn__RCJ|5Dm zXB&CCaGJ>UL?dEMzwl0PfG@>Ix-i8p-k$t&(oNyJjEU~t9x>|M(;L|wk8 z{N&{7osfzrN(Al2mtm82_X?MNlM!IULi*_L7dO$ob#>o!i9%!FxY!jbK1Rmnbl zMPwXY3HrDG@ZGyT@${Bkf{Qc~>)-L%uEeW{s0~o4?LN(-Ajp8tq)-GJwZoS9!Ek>@ ztz3L{fGH&wTen2-@N&h15xqH=hjR@ZgVF8V=VE&*rF1(#8cR?vxMPJS!d8x7>jR%E zYjH~*S$d+tRoTU=SUHRQ%n+CEu)#N>*qKp86>rhhTwk=4Xe?Fvvo$Mx%&7GshIqF> zk}koy&g&>@9ty}0e0oI5s77DcXj&uU$LIV|8A?)5a7+%?q(Dh>tNETi#I`d3TDFLZ zY#gtXj)3U#EA3;uea`h8mYoHrY%Oq1a;xl1(bt8iliESFuzao9MfuV&bREvc?wmif z5+xIbT8(TRkFhF~q&KP)OuGVd`XO1BMBN{6h#-4atmQTUTVCGnj>W0!4*CtRq+FUt zOFj;v8_w+hGt}Nm(i?^Qg#7H4`IxRMmwgc^2$;$rKZfNeg~zVmhY5jG-|}ghn((4% zlW;Els_4wn?@{=HHpKIM7EJmTV-N=#2pT4nnwZir65pwfZ}tvK>PKNVDF$r{WytUx z3A9la`iT_IZqT~+Wt%j&CgNOTcUaPZp8sqFk0a`Qcl=W&|xrskc_v5)3Qrzn3L2h_su?PL`Mv>#^WF}!1Q|;kwGP1*Tf_1OyZWNl% zx)@TfN)By>`OKyx43im~7eTmaUhA7vBG+Wx-n6hunwza1w>Jv7Zm~bD8ih|L80>xW zXzV$FIfjMA97yErwR6z#vw!%tC{ag^1FDOw%%!6y0VRY~aNZT0sT}tG29X8ss9sU| z5OWZU%avj>(Ltt)R(K_Ds%ZItMsvdL?dD%p&Pz&&?(*vdIJa)3Pfv+8ctx-y^`1 zbQej^_D=uDN{FNAld#;DIiqAt4gTAA1i3R9FZDMIC~+j4;a_N>7_zITJ|1!AVgNtz zqP^Vbj{5$OoPoR_^}Js@fsg-^UpwDf-Jv8$dT~BahkRKDxoiBzy$g=L|@c3)!8|WI3>mpNacmU?(5^5 z!=|rFJpQS9Aox3MG-HNvRFzDo(5NqCrbIH0r3|XG2Ad>0DKyEy^hYD3FrRPU_T)2= z3OkX`1sZ(<%3?Xp@CHITgBS+8bgaYm+a&-LXZ_0-hF)8{QM1Jbcm z=g>KDrt$p>w$Xy?Ug*Z-se}L$yx7U@B_YNdd)-ySquSEVjm)ETUD`;@{l+Y7!))sZ zQ#r&l@LZ|M5ywCNIbwJr2cBBUGcvn6>n1?jl0tCzbyy^zX@?k2+| zU@bTG$!DPv-Ikc)ur*Go z6`_=$^LF0K*_!b$t0WWM8`?-8G5eFyuAK67RX0~%A5GLtk-+JV{g1Pn;CEEzZE} zvNPxX=X)2DIN9Ay$=r$TN;!)&=NGo1^6>Iz?57vfNU;~vr~AM#t3|ycS?G?oCcY~9kM=|sZTn>LeYOz z`a%hY{5zEj7?xZdzWihJX#RRn#B}hF)FahGr)bF;$AC{c7y;;*>L$w@j=Np)VyP*g zu?Pd&4&|mpd9{GZ?wippv%NPjQKzcRwVRU=CUDfTX!BNVCFf;}GeZgcW zZcef@RCW?iXWVsrys^RAt?xrdV75I{B`n044r@|oYW?LegkYT^GVM{kSFog=llTcP z>%$XwH--(?M~iTn=bp5ifo9@iPDo#Y5BCJYj+p0!&Ckmmrc~)j*ywj8ybsAEA9)1N zrv6yl48UD=IsS*!>-+prF39JRr5f##DZCxA>6y=Z&dXN#qappNbjCOg;`Gshie)EG zV4VbpDYtn``@IAVC4EJSLhBIrFmhaL%{oAl$v63vDLT`X;{Hu;S;0%^U1<4~^C=I> zyGkpm@fm3(sD7?VsrmrAXoG{YZ@YT>1lcGMhgHc3z&1ZYteiz!E-m*l*`eH(umhlN z_pKl_pBI|1|BoIVo;5plt3tRs^|uw}3!~X?|3M;ggd}DqhrF#OzLgg=^lduJbbBX= z9wG)&J!Az2^nrJ8nILr+J6l*}?8A9~+*F9ltz~!+mju_PP zfq334Wx;@5CmXA&F18o(80TRj1FrmdEcKe2yo1UvB zkw6TZ&kF?!lA9)T45*+Dm9W_`&aLi_z2jG(=HgG^T4MjT1^7`EuNm`UL-Sz%y<8rr zvb7xZCyCd;N}RBHw{ zHzbeP*{m2Uf67Gx+u{`DHihtMy{ri3M}q0(5F znVS+j~-@>;A{hhgo^ggCTi86t`*lO;qjk5EkvOVekV_x?16vo2P=?I>2T z{7*u`b!z7+R`r1lu6(#D9S8ZQRP7-~mZDDj0~HpW%ir3M zv0WZ^PO;+MnbP9w?--#ac|*|ue3w%m`I~cTzLKGol?P|l?Fyk-;cR*21=hH7UF*~- zc!~7oYm?~aiJ<3@%F$uOR<|rMh|ieAGVZU4r5CoLBl*@QWzP}%|Dq^xB8cZ$$zx7L zUH<8LmcVDeUW9<07^qDwfhD7CR$Z&Qw1obdZ{>oaxQo!tKzXfEO*<2_xDduhT`C$wP zS0FanLr&@oYVx-$MV_RRSLP^Dcyd}yCVSHn1{zcA@W?xky5c@fG5&CJJ_%~@<8pUV zAxxgfe9!4$@a??K$xy=r@IlcLK06DXC(cWGTcMvZwE4?qjzRU^Nm$NK!jUm6p9CcM ziO2y^+^(d|Yl1bfvk&M;=~sLQ#e;pst-+EDp;x+=Y_rEwdBAoud7tt^yEDGZi!y9d zFk<02yGQy?^ZuvC4z(2L1I#t)!30Z+J{P>CuDfPip12iD>l!@|W&H`(6)WA4HK=^z zaPEa$hCs zA|gNHpO%e&Du|KA83jXzk5ra8Yg|daO6TYtFFG@ixRdWoPW}x_mk4U_TFhh+M*KJo zRJm!Or##W{C*a5ac(TNTTz>gsMfRa56Zm^#;rp4G{=|4Hs*^B2tse`yn=bZfp(VEM z8^nBq{VEL#LWegkdZ_3_Urw z&M0ajvrcSNUMqk3Pl;~6L7y<)RKmJJO^M>Sv_EZ0qTYQ%i#Y6yLX9?gz1~U8^%@_Z zIf$?lCCsVdK#vp4RC-)I$AU4EwT_NFakkPWdBu>QSw(2yNX#>8U!6pR{W;&DdJ?B@ z2Cpw+UV-^{TPdD6_1Z5IGJRdiSt~_xW%1u^>tc1HBEl;(tt}O_W0e;tc0Vt1+v05Z zFk2iV&%LMu_5of4aTqHG81cScBDTanMTuHT-JD=6Vv$;M)iD?I<%g=~F<*C_PIUoE)@2Ec=Q|OHC%SZ9x@-HgDJX9!-?2h#@QCunt(|g4kEh@v#YZvGYz6ek zI9vJYrIeZ9mjB=(8x+)QKdD&!r2I?otso?$)J&jp-b%%DEOtj1u+fiy=DFpiSs2Yk zO#IJ$acO5mM!&b1Z3{yU90&r>&t|!=eAql`Rf-Iw&s!+9%i^hPz3+y}ymS6(e>FuD z_uSBdRc;WV@}J5zJusK~f$C~+B0IvA$q^#i^WQ@HV z8KozyPLI07ro*P&=j^|_o%MhI<-2z@;`km@*xvZ74@0GvCr3WpVwb7J56@Or^*UnQ z^7H|A4U24lBr3f`8P!J^u)JQ}@J=bOR<(RgWdR4*62sOpR6>(oermjNd=1e}NnuDe zXD3vkjR-Q%2&bmoAFqqS!MGvH>@<=2toQWkWd}E_|6GW7yo4*S^6D%f!k%ax`A5Ds zK3j1wDWu*;bF6Nk^Xep7U=WeEaa%^pc!h}et zdos2XP?Wf^ACJw<>q$X=h)Vz6<)&{`eR7F-**hBlojJ@E#udsKcWg(_Mp1 z2mY=_)A5B_-UB2@dLu`0CxFT7K`OL^j;YW=G{ zq8D_KLOld}%4j|Tk`)5$J5(fD>|a~-=L}7q2#CppdIM6QCo9hp3P&k73HfJ?5>liO zZcKJaM+5wM?=2Q8HtUlhN6?K!(#3&A+)8>1Fyb@k4cH=Y7BIl2tn48oSEvu$c-J+U zA>CtHItGqWzNX6^$qFTq3Tn${Q*wGcCK!ePTNiyfSEW!?x911k8 z-Q`A)_^shugKBH5 zmmXvA%ZBk0N79LsX{0{YB3piA;Hyxw@}ru*`}9)5&cVN%{0IxE#}x7%(Pjw>V)Da; z5~1>BApl?WykzX74-cFE4{1=7SHm~czwg#DFx{(H zQt|?@QU@mPEF_h#Z2j#`RilRhqx*)!@jW&=dY*`1iX&vG&DeL?4$t*LM&P<~;berR zn!-js8)mY29Ha~NHw8jFv=Spkf#aW!veGCI&P59h5(~Ygq;m4h-A;>c)r*l5KXV55 zvv@uMU#&H7zgvREzB(flr)x+g%g*Tw8$RJxUQ_Q1VXNPB@6u^xK6RdR>1XQs#J}Q` zK8(MO6x;v)BUVTHbL#Szx%hg=?Fy~i^h@*E%M&yEIdzu|=%Zb3wlqGiasQLgzS=Cs zQTpSzpJR32OPziz4!2wSa`6t$d_1q*pwHau(>Hb{0TA!h^3KR#E}DK%m@S$+TjY(( z-RnKy!J*iFQXwp(Ut#0N*IVREn-9Sg`h&zaC&`cKs{j61@7@hKRZtBoSRU`~;$(kt z^kd~gk;`QLTOiO2=k(O$TZ#H|2~pL4fZFn0tk7#KXhr0Fw2xDCB!gMxO#)+s{v-a= z`-vn0%=6TRdUGw!SP}-z$u|Md{a;flA(=QI0v9^awU{Anrq4N6DV+#IT|Cq!qn!cm zqY)YDP!-b2YUR)x#;elh=PH|ELf&CLt_p zFQsqF=srD28XQthTLk|x?A>7kkJk`U2z~5Qmg(I-m+H~CWYE?R9$X@*Udos>Bk8kV z4Y){)dd%05@ar7$>{6P2*=P1Rmi;)4fjy?Vu~t0k|C$y>6srf%Wkf{V9j0QYQI&np zvEJ@PnEGhp2sAzEG8E!M+UOH(DwRm3;{K1Rn2Wccu~J$8$4rdWDRdbDalcM+pLGH?IZE@~-UrU7tKLHvFc9Ki zrObdKwHUPhA5$@bZdv5BeW6lOpLML1H<6|rATh&2h1_5;#ND1Uo#Rhtr(&9qViL2D z`riFY1#X{ps8lu)=Bu#4bbFjK@ZoNq3@%w9b&C2wrecCvR!n03-Y+L-8NDpZCk09! zJn)IRC$|s{1}77qF3&0D26w^Bwi7RA#T(TLp_VAt9a0J&k^h#ItW_4=Ng3cQA5!v8 zfKF|%r{qSPMQ=$N38gg}zJdX963>%zSsr-_^D{o9WMQ#R?$jZg_JG9prf=yh@%7E_ zr1TF2+@GZv^j!DVe)#u(MKn$i+og~HXo*JnFLp$6p(|LoDq%^=&o*BamC#+bIc(H6 zhw|0ZxAjS0{>wv6me#GUDV*U`lf54N2RM17^utZ@{by78)DQBf+Ijl&7vv?;Py4@m z;Y}yPzq7mJSOTSx@h5l0M4bwi=YBy*{PMfHmnrpE!Mq=WVku7r7XqjCRWUX*_P^(! z*iCok7JPdl;FZX9KUlp8R&)Bhlx3A-2r2#j5xk;^hOmyLry5U7ys;KK$6fEzaD&qSN1Jb?~AOKjDL+)6GPi zeV=~#xqoBX@K*WGKh~tX#<@LooBTE(n9Fr$zBS9k%$e!N&?hu0^s8YLHHo;B%Ua$G zJ?P~enXT}?L>+-%{5Vaupr0p$wfuP!v|-ktib5jZX+I4M`WpCIINZ>6#iwOQpGxs` zTU5nz$G1Vg&7-eBeY^wVC zqA~P*U~EFQf(E%E3a@xYkWr05qzYRSjPl}8!l_LFG#T;4k&({s4n62?l1&zL|nytv~psaUD?ln5xJ(U7>!s0w3NT&1dp! z(KYq4aD+$G67Rrb@Z`=C6G+4uBF~Abhi49cOR~gLc$j5X5b_&IQ%#Bi$A59=Bq7c3 z7-rINu4N^e_?EyCN676tkaJ{vr#N8^MJ6|%#~U4 zF#VV}Pf`!l6Xc#rBATV_4CKK~T1YTR+0e<4HIDik2e7bFX<>#y%Frrm@w_HorN&;- zjnN*1raT4$u`|S&gDsX>J(6pWoH<5~xv_1GB%%b0hD;=60?RmTNNoL4?-6?_PS1qf zZ>Sa$DVm{bHsh!r#@pr9nV#4MUmwJ25Hn(X?!_u!y;$al#ZnlNR;1TDC|nRB8x(7s z-_YZa-b51BQuW@IL>)ugL(%OE`q?qHEZs$ZI^~;6u7BzIj@ezvxAdQ9^jo9vsp^`3 zS>RlRz771nuVV7|zl!nS|0+g5qKXo)(sIqy_w)R>R>$xkKplgB0Cn{L0o2j^`(DTD zCxQTOl&5y$MLL4fg^GulD8;Fq!mc=4CS*OWt6E;$P@`4Z?Hw-;5_&+Fv|PTmJq3ia zu!EG|V z=WPhF$peIuT1SBspF)O-LV?s9Ap3J3SsL_JL*b(1d^bcc2Q z=$5QCBfJk12ObETVwz68L{nn=MbTxeJ>O4n2^&0nQzBbOM43LX4gzZ=P}i_|>*EOu zzlaHaceuFz);2g_*3dQd#YKHQy4;Swtf4e4h(3&$bLvAId*kiyDD6N0)!!J3g`W-2 zA_2ki={G=V0SV_!;~^&C5s8It5goe{1~c-WFfRE$Ep=6h`S43HED8KKepd!rz=!S_ z60(S%Ux7Om8tMv0?m`d^61@?=EY?r1ixnp41L;@@pGMq>K@?xYVRUwT+YjB4YNnR! z4dt?B)pOp7PX)@QW}JrC&GoO#jjx*<-)JshW>YQJAByGMSs~GHW2wn?snLh4&%E&J zvv2LHTiRUOmF#?%wTf=kDoKcjD76a4S_O0FrXE)0#z2JWn>vJO6Jj`%YPP{Rc&Qgt zf!CtLvFONoCh6f}VmWZbCjDz!D0H%$WH zyRM9T-Q5ueH}JLWcq}^|IM<$Sc>_taH!ZZ_s=43V7iqY+@6Ib8NkL2`zd+gQg30rz zH!ys$)tF$DbtU)lcmZ1lP_~b?p z1aIj9R)Oxhbhc=}hxh?l1a@W&>reUef^nboLx-`zb;oeuXF)QNwSOr%aBoiai#_LZ z$O&c==r$LQ+nmo1&iAF1CnN4&?{U#vme$pX-&*D54$>_z9Jf55+<0|yC_k~&W$W>; zJNTaC)pFZ+mC$9MT{s^13s?V=+mvlpL8F|FT(({J8V5x$?wp=|p1 zk}1g?uowUzwJDc$H5Tty=oh=5mBkA7l6q|*i+(IlD$N{o zeWK7AsUcBtXGoUlCM=hBeVU~7Nu7sHWnjCm zF<4DcTcqsECLIrDUbITUiG-Z*`rZrtNje5YO?ey{QLt$ZT~82dK@*|-b6)LWU(oWa*{E1$lJt8S}$KUiTRb$0}V;5EVm_sAP?sbE7FLlbJOC~}d z&3fg%;bnA7QeOop-M|!DLS--8Ilb7tRJ0k!RaFr2ppOcE&Z~C&LZKPY#!#C14Q6W2 zy<(%(W_fvPc*8es<|=+QltiKO@%jc;-bz?+x|DfA9HRPkO0|TvYglcJT(B zPpHr8viTd{liT}cQ8BE%IA1!&^-YsgFMgp8{)ZQa@Fx};@~}%3Tb38IE9uKcv6>Y% zm&Kt|JOrMdjVX%|A7r1OQycc>Bs}17rsS*DnIm`X7MPqeZZ+{5VN-J@%+#zoGu^!s z@yC3WFIf=#G4{E=X2XG1oDX%i;u68kFJQ};WU^luvxeX7)uG&JoyHCh<}Hsbal3Qc z=b|`aT^3LXNa{$2_7jaP?DF%bzFtP)&YKo+n>PTpvKE&OIp?H*tCHb|MEavCqJ zdez!_#|}<%7ai;J{O~3_fe?w3LbZTq`O%g;52CP0AVHzDsy}8b->HUo(bJywO;1E< zwpV%>cO{Vo&;h^IupZ-AB9^g*!CDs!CqFHhw%oTcS`eLG*J@*{F)ySR&&K!rnc+8z z0@LntP8bMO>?66oIWUI!V5J#S068iKgCC{!@wWP8xIj-h z@`h!1)v3uDEh_fAK%7`O!!L>oP;cINwe&|})L&mlCGdI@D)p^>%GafEa6^tsoUn-I7{*+~-q#0gfLA31|et(cxXaduR72hak ztx?EFF}{e2y}*O+GSw90UJl0tMx@lnVA>IT)tAeSRKR{qhLrc0&PqofLLg4EsggLh zt~bf#T_2Sa|H`pWYCFVU8>jhhHyztQne1AZAIhtooy#z0b6_9?T_0=92HJb z?kQPqh$!(A&x(ihKk3CzjgE$MK~ZKEA9eQazSwhVRKsnjF=Ub?a~YyAXiZ@+yEn{; zBsh!&qzMCOthh38re!gmgGRl> zf2sSQjX@fYf-)5(DvIY%1f|0SD-TQ30iH@CvTbtda53X!js05l3UGYUakYW2pSpAt z8fkT+ULw@oCk2-~ENhXLXwUBnWU8U;y);i}LYVnJ{e}kDa(@&iSAgdA#mxWdqBIoB zu^)yKelYV+zt`iHE!R$=Bi>CySUprp?m?X(OrwYnLlcU>I}J3mKJYFo6{6om*mwWY zKmYEXM7R=g60IN{skqV2Z=Hzv(Hex(9&~iytmcOgL%0`P?4{q?i~X~+I7NYjU+g_f z{4Lc|?;*0Q&^|ePY(|xYdhxF0M1Q=WC+<|#_BvmbvYWCmWD3bf68${MWJk_dMtUr? zP~Y0w&yxxLQq+8$Ks(qOwcMjw=wtF+^}w5T1EZmAmBXU{?mOZmtQ^KQ2#8{Te`l}O zXFGUs?Wfe)2t-RMVgE#MkUq)2qIkiGC+aQ6kG*=d!_FRaaC;T45$kb#^$1KYWmRe;pbw0_n&?T3km&p3^A>V z$*{5cSa__xQTW~=*AxRe>CyGIWebKj9bj`2-R|m~5$OjQ&>Zr82cyAL=YdAny^p~98*#6lSUqLLPunD_-kh?Gn6+t-^ zQ2b}M%vEw{!#v*HFh!a8k#e9SZG{l55M(oMx<4zwXaY*#YY~$Mb7<&-YTb7Sen#%J zZ>F=kzu`SW^P_EyzWIrgpk@`kDQ=$m{PHsd4eNo1Rk>cXpI|==9<{u0EOT2uucg1t zuV%l^dY~o2)0zrT`nAdslz+rvS6#U&ZPnLG_E38)n{t3@Hh&qBp6g*( zb-m@C^B^ZW(ju=`<#5>az49}}Zo7{6?x!scuoFQ|lYY|Qt*)$65qWo=-V&UWW1tXV zGToP}H8dC4EVVQF6&-q-{B5V1s}+7qWffsNU1F22<&vXlRj>LQf)!SKxh=?bB2wiw zA{U>DRYSy}2E~~Vznhk_&b{@0(K;9Cvsl}kZF%?%ZT9QRf2`@zapDEPD(mr&l3h$? zdw%TdC_=TKi4Ls_)0wD9LbOX5`gv$%KijBvEuqSZ|7hMy@_F#QAzdRerL z)=~{`*{zgu1bZ$%wc8_l1G@?)t$u>@Jzj?WU$z@~Q=LZ9lc_X9u`N#ZR}qR9eE9)K z$D!^%i9iN)8MAw8o>%#?75EgKAt<~g9w$MIExGnFrs%{ZZHnWvc2d{zKYGDO-+Krg z-&%|jm3YQFsLul{1w6`ya(i&--xFR(Tp`HMIw zZlsM$`X2v8W1tPX0IvOMv-~2b7z}OV|rXqgnbJ6nog@i=w z4ytTbIcqB zx|uP5bem-$(-?>|4&kyY_xUHfhYUioSHq&@*TPyplj~i`^(-+hlrK>RDZ|lFt=nzB zK9Nr2fA6tiB}l6e=vwB7d?hqADCWp3v2A(etX<~Id_8_@YkJEZ;ZW>LCyVX(?guCJ z9;rD( zZgNa~krBmx!CGC&%iFEMn(gJ%L=xh=P&+f!7RevhM{GTYX2ofD7|Lg-a*k_QESS}+ z)_z9k$uAYH{6&=?b~gWpZdNncQGefJ{r#FOT6~o{38FL^K{sE1Cn|#Dp|hMYaOf>0 zR9>l*VvTYxg@#+oOLaDYtNHOL2_ZR72unm433L$J z0qF&5!$(V{Wcu>E1FOM6!bDI~0)}d)*d8sOqFA^Fq#jiqQzuFp2Z@Bz9h4ke zijnzPlMe}}SaZlfOWGL!c#KgDDU}@(TI6A2aQk7yPTnlH-9hCFP*ot~=!NL#B(eUL z9%fYVUr$83)2YN$i@S2sTAouMR{!ijEFSF^OJe6NKNm~--zyiT6Mu}{2cLv}IOP_W zFN`1iTv6s1MYZ9TI1>2}iQ6X%%u_uV?lNz=p^wjh36VS9tWO)NW>DIXU;cdGe))4p zTmUp(^niA^OTN5Xkv4f>3JC4CD;*)EX$u(bu&;3>ee{wCcSs-Ocz(t{+u3VUgKP<2 zyJPT3^3l&8h-0Ja{*7NuLlVYd81vXDAAg(xPv!{&gQFV{pF0}5kfkQ4rVCBFWRgzU6Um-EO&ARvk3&U6z{rR(L*5|o?gHkU{tYX&>G2Qx?zPQg(=R0|}9p5rTHAk@n`B5-= z0##$4c}yTm@5fnbYp}if5o$KRZ2IoK=F9YA_^zA!)0fQTZsSvZ;fwts@~mupe+%w3 zy|Tr%+~c+%xbsIzZ>ZOeXU2Pk*cSnf z=~eq41~B0>>K*wEHrtaDnK#(rO~8mx#0WtRWKhFXPEE5CIR7;iPX^^~p&-*z`_|UO zN=pu<#wqy45Y|boxX|}XRQYq>%*#IP2!vTL(d180Cp-G6_0H|5*4}N&zNW<{ z0wznJh;KFak?tnBMV3l^cSXlm;?@AgkC@EMQcLKdzmsmh|gqXII?H@CO{%)FY?8bt3)%?VIJc-W8*{t;68)?2w*w`Q)sC^WS0`m7nXw zowDWPSm46tuJwED`=?p?jdG(BQODH4w3i%(YhG}mhaB&tmvJz<@4JHBZ^mP3UwkT; z_3e@+^2+JW0^&gDuM}LYjwl!QOTL>Q^a(VGsn zsZV6B>3jXEtGz&)9Yk+$w#+68NO4+B&x63~9Ln1h7Yn*1ppF*zoHs4qc+BJ-VlBSq zJ5Y(EM3*M@{IM9{*>!XPBrwUQA+XJf6PJW*J5Jngy|iV|u@CaEpv!nr0iklW_ESL* zdp76^Qtvm$!{$djWQ#61=h+f3XV$36+6u5EP9_xw#s3(3KW=%cn-M|&x0oK#pI7uezw_{YuIMA+L{2c@@9Q#iI?nQ zPDc#Bp@Cr&2uJq&suov~Ta62hQ{Rj=jGP8irOP~V$+wt$D(ljam>u>`B5F| zn_(-kMQzGz-oE+fZ1-iNd6>3sOQVCkV*rx|HdaGc2s+KazBx*vLU!72^Od|o-kU96 z_;DgmH>K>&rTy?r$(2A~8Nk8nH-?e~8b4DOfC*95c1E zMf$0zSC}a{ew)Ak56Zv(_Z>#+>&}fGrV`8r+30z7+#n(JnBv5%PkGgOAAT@}g%<3h zA+jRj^@{K=eamZSjER(1JZ*|YdFJi?ism~Xn*>0uAz3=_5>QO{<6U;$(G_Te0i z^q`@oFs5{!-;_%S+GlN_zWg`MuKw%)xa#cpe#|Sp2-=Mpqkd}S46$9B&l9Zjl)IQt zy7q>s;Dh745pTNEsi=4^N^osGY*Ra~|2uLtlvw3t)|`;YAwCAqX0evM$cV)z!ZUtb zKU3Y3SYp$zY%0VXI_M;vV$TwA=V*+uN8ZOf{S=72EKqrY+sg|sJIVw%YbCGcgyn_n+Yg4Bt;nV6xopUcnUxSndm0weeF5r>vA zKfU)-$cQsPb0S}5{8ztt_l^dI-If~(F2V_NSYnZEKWq38&bA7*I1tygIoi*TJeD}? z<&sKDZS8z7UOzjT_u$#98UUemIZcSpCt_!B$^Mk<+Kua6%V1Y zZY|b6a-EdJ{6Z417DUp2`_9~-s*{{U+&)K{i5*^_eC{FgJZISv*Tv^GEjjxv-!TVk zC|A{9B!p);DRchC8(Z?0QTMHBp4N^FeGUIvgm&2HFj#rL&j0WU-3Pk{7E}LG;%qu> zXnUB+_?uaIIW!u(@*$3N>%Z%_zTy5st~g=&@F_q&-1TBkXsiNg<$~&gjYv`~%63~H zdqxT45--aWi$Aag8j`!$;XvCsP z#yJ_%O{Jye_1U&M+nUM1enKns_&+a<{1;O99VF?U&<#WPh18RaX5oqOoYYIB7cz|Z zzf2B;H;B?%a-vTRsU=kau~8g))+sNabL>fc?Cx63-bbQ7V%UCb@62zSjd$^O=-TgP zV*2*9&<{>TImlvjZM+Bg}nwKvegUy&%t^Uq9agOEb)GoS4B1np&GSN8ZN<56BB*Q*D+|&2jZpM)Kd`e3(ZNni$+Gn^G zG9}m37(<5AB$Ee({>C`D4n(WWt3&K0N$O3X5cMV z@?A$bnQM2Sx>l0$z!+}bhboR3M$~6o#wZT)IWV~0P#9V+!;S9r{K@#`vYJ_T@v@K& zy)p}6t27J?bxcBZ%yMA8OXSsThwSsY)q=_}9pa`ZDs&1g}GwL!I zq_IA340Fn35ZmlY!F|K1g&4MZSkkK#SYBqbD6-<;|8Y)5J#tOE+;;n%3|52Z3`+Ap z`q{@2svagF&jWFJUsScc9n|N18nZwL*q9DMBpptiz|vQE?5)*Ftj94DK+e<^F-@4> z4Kc4zrHT z*>`H;eS~6{#;Frq>I`T=b{})-M0EWb@O1j*@q?G~`P}$6k$Ec@$B$ci;?b!p9ypMN zZtzfaPX&XRhq#YvV$a%@`_gW{{CT5@vpGX}pNe2|*!2imiG#Ok1u9<ZA%HE@nDmfcKII zj}BBGEMtWuGm+kkJ(+pf&=~43x^5E8_}jfmus~rYPpRM)NHV>mZug^r9xfAESIp_D z)`gb_6D-hJt2`2?XL0Jy1WiO_4?camf^g)4pFoz9!QBgZJuuBa0BIs6bPWaf9MDZi zN_c`*aBC|~J-jsF(LRwhKzaI}poG%nY$TE==4YlAd0O{Kntn)7`H77G;SY@-d^V0q zN0L*Nhb2|%eIed|!mF^wOuhJgo$pJ?F&{#u>ngQu51kxe^?J3;VK5PLFh!7 zMRF>p1glCDsA+Wn^5O)gKu>{1X222rINQHCmq zaT+kL-=+Im9SbZN!V=}4n8psobRzI>G{Qmo*i<3Z%`!Bd{w6ilh5`)@UE~W2TL*DSku7{o1hXoXxwT4Mu^V%4RLv|UuJ40fhI%AAN zSqEs}Ug}|TG`oWSn2d~P#ghariqklwqeV(=Hz$XnDe)X|H zpk-&)y22jCdspAf=!6JWll~!T7PD{C6h-(LIjiOKLVlpC$)r@c{W!%Squ(>fN5L-H z%J4;OQSHUzMLJdvwj1gn1#ZN-8Djtl_Lu6ckqry!p!El7LS}(1L78zD#~#uB!^DC{ zw~-kSM;vnW zpz~3sgrc%k0ERhPFcWF3pkJYxHB~?NG4!zh(jdt=tx2bla-Z{MIul7o&2+*MdhBMd ztc2S$W+7UV1pqTZ%)enuM^<@+%tA5=M3}u~Q1FQa=f*y9iD7?MR7+%* zjAV?QCRN@w>=5Fd(g`cV{0O52vk4_avX9*dmULb*MuvpDN{D>``$@=|l0v36ki>dP8k0)T@HM%`mAL>M?Ij+y{>$0KZ2#2aC!MIAGrzcfqgzr zB!2CnG0;hrQCLbV19?JjIJ{5Dg2W=k&8CnQfOMD-fzRGVf1`%jqDUDLC286hYPz4> zDUxQKK(ZBvaY9as6dh>gi$$S3r^gPLTFIUnvhR5YWtdn)3~`?dvxd&B++WeZg!ywZ zMJ-j`dC++@P-S{?LWFD-R+h(8Ht;RFqf6h#zI1UKB30lMybnv*#eilEN!&|(G!g|d zUFYcJia)rZFzi@RnAt17S@MLAQ_lF5h_SFb1I{Im?$^p-$?nv&of&+@*$GLI23q z+w6o+)jIlp7Ht3iBuh9vDcz{ytgIl&l1av>&*)#`g?g7=!cAQ>ild$NPi9`gmzPzG zrXyC9!6)y(?OprK1(qF5d?W`nH|QQttmX4Rb8SU0#zV1a@^+U?s!-rO{UKRkk|hq6 zTwaYVw^O0K1`LMOazTZGn*vbN1%WP)>T#jhQFiKJPHpPLL=@H%FLoqRta2h}^gNrS z5l0lgYO*n4#yzYrDNwH%by2mkDNJsXv^4Sj;gkv;MMaf+B+NstlL!+2CAr!%mqj|5 z`9Wf2q^N|Al3RW2U&N@9I*9y1u_L!G;+ctmxVW(Md$QGJiEphAYr#eG7$?ALPztSN z*F372|F;f}ga5^j{>1+X^4#!a-WP|LpRZt4@V~_Af1CVgedl}!q2KlYFMs=!ztsor zJBk}WB(1BFkzGktY3?XNbB+S6f7ALIj;FqYK`4Wfc)0d6>k%WU`U&nx!n%}Y2mQK=_5 zFRSXNRRKXeefzU^ht#s|@OrZtWoWx<*xKF~U9}YOIND>$Sp7n3`{#{RHs-E8A*JJq zR`Aki`DRq&%Sxu_&uc_Oq>9U0M&fFt1?ZQ_|Gr(}di zK@;>%r}`Vd-3$b4ArU9ZLOkF2a}IEr+5{ zs-mempda_o4as`9E8+D=Dy-NYYTQlQZ)@z8-h|@hxFV#p_7iO@?v8j~R_x@k_nk>aPNJ06QSN?0ZG`jEfP(9M~87k zzLC>+HzYbl-;dJHS(CE7AAl?B|DAN%coe-se>`x+=DN=4p6u)kO$%piF=}Do;tnNV7Xl|cK)`xX#T^v2)@u!_Fe4%SO2*WAB^{uV=kYYGjeJmT@1gD zezd!vPNj`R$_W1ah)?*cFZ&@c_#h*{?Tf}PbJ|Y3QnCXy>L>`u&K4;`YFYz)q=+_Q z7&-0+P`6>aiIXVEGKak!H(}z%xNb>ZH;dAQO1OMylEzH#1xNksj2>q**|=oG6Ft6J z+$2d7c&Vlr;Zid+^wM~wmw+C}>*I0;$tOJS85IU4+%a!($CtzoqBW_BBtyCuB80R# zDG0ei9J;=xBM1eym#p9lkOM@^ql1gPNjNF##)}f%4Wn0hDam|}7ItHgdgW_kS;oDR z`x557URDCYzef z4=p7j^|VOEK>~S0e=?$z8ai&m&x5mfbHu(!8{B2l$Z+{f%=QC63z$-{ z322$6kSPyb@?+t4;s${{G^(jjJpXCJ!Wl%|Cl*BAr-WoD%1oaEckC0MELq>tD(9PD zmLt*+?k3|rxtqw1@V+6_h836c^izidGqf12mH;`!YsAF|H05L}ZjdMk5*`P5*kE4A zt{3>8;dK~~yr%w~J1vY@PFTA$UEl|)A84VDl2mf`Ko$YvtYs0;u(WXt$|(okhkDuK z?w>eAlZH1ZCPHoV?KG{l0PPzhk-2W=WYQh-xPZZ~Ph>pY1fpYpq#5kf(hJf|mOl+B z)+;vgJz5yF=N^?&BXPtWPJN@0;!PF+7Fha&tL(t2kt{JQHRM56Wl=kD$QB@mP0VUC zfg=lKF!ETGX@PD?7iGNQJ#;5Aydf@Gc>Kjx^C*O#3@sDc5h=_f>XVkj#HWQmO5vy? zlYlf^N0zVQbRY^6U1rA%=pd4oER`w8Wpxr7PLDb$iX$Sk#WU+nKax%i+>M{bPDlew zWqb)z6$-mUKf|&S1({`fe2iw?bbM)KJnJ>9Nb_NMK%~G*k8sz_-SSAmiX?g@MVS%l zARz(h4oCXW!OeWfmv7-F33;)`yu@NZa9It}(!iSqZ%i1J>-vUESYch&6tmHV%qTYj zrOXX@ZQz+L)03AaahPfCPo!cqd3XZoY9-0P$MFTM9%+>lwJ^wdeAE*&K3q+Qv5b#a zU1&6I1Wxta`Cb{aXoeAsrk@C>Jn&4ENI>c_Ol7YmQt7x?(hz&()!D(#N)OLtGBMtR zNUAa4Mn9&cFFY3UD2iQwT>ByQ=tX0AXf5KgH4yWv3-xZ~#y)8T(ITYyMWo0o!1Nm} zLh9&+OpQtr)7yeIb_4;$W`tMYnDl>&Tw5XnG!?SjhSZ_Z?6xUviVIm@4xB=o6D~uc zj{;sOc&DO`$jt&eRmt9n{Nc>$gd`v|)0W1u^{*oVW}_;(XBLMHlVyvqn&E+5^z6xM z;guaJKw8Oq#(@87N9Tjjwt#?Se60-#771Bl=mT zV>Q>c1mn8|`{0wg{wA4l6q~om1h{@SV~IEe@19v>5PD`4zRsIy zNf0j$3!m)hb{Rw*qrZ@6U>ePRnj@zz_uwcUWngNpNgbXBrmn}%QI#Fws?@+)O{Nh@ z+&s_j&4esE4u6o5p^0-)byIQ@k)p5FX|@XSwXL3Z_Qcl(A>^lfgHZTxLK(Elf|rRy zrAgx(}Bwds@M79!_jMh^F($i)XVi!;1itI$=uGz%bf#B#%*K4*qDA1GtJGOIo{U@ zAOQSywGn@8q%LUkFIWk0U*NvCN$(4(!?h;8u}O72oG^oA@*u!_(eSaj3djrAihbhH zR%-tN?2+x~cM^wEn2Q}hf5MP@e^0WpBiErDj)i?x7quT~pI&Fj`}?9_E0>@TBi@I! z`PNh6u`UV*m)Pxbg}W_OpR?m4E-EvJuT0KOQ{9LaBcn`$OuN?0T(z9kGabD9D?D~d zei)I(AJxm902N5X$GZc<^95Bh7J~c-CB1B>b2$-P9J{?y&w`I#Kj8 z=D;J>6ps|!hCz+QM{#*?J)@TLn@jM3S~OC-Q9Tdo(W#oo8)obD!jYcNhcXg;Ti0A9 z=O*o_N9{!72^U;vH=MRD-%-yS3dV-IGABW>b7dn^m*2*uzf?Fc6|lmo6dq{8a8;hr-f=2?%-VNnBFW0F5@4xrqgXF_->c%liOiF&2(2=0> zPE1nN@LfVfC+!1>{6?P48P$;;Vo3#d1K(Hd+C~A4OOk;*d_?(CO!|FOzpA~m;80xK z$KrIxW$V(P{Rs%G010*(_kd4&z}^M^`k}J`or#KY(8|`UA{1$CThj=E)Y&2f>8Y^B zj3&nduf2HJSQ66Jy^Ikm=%0*3`A64oOHvL}b!y|LE`p)hgV>j2$J8<2@kASU(i2o(>$_ff_q7$|CpM@}=q+4N7}UXjiEK%;W`~&$K^0)d!1di^EfjYxY}J=DUYLb(vKEcI79u;g6a{IV zu7=~T#k%$q+ey246jROBh}>nga3#t906Y@A-W=02dn;Pl*O8}@pGMhgDDGX5E60xl zY&cm0drm>P_Y=jaDpV&;Blki4?J`l|X^ayN5Y2(8*m($U{6;u!HRkb4;d8tmhP%?5 zuLFMLAd4Qv;69Kgol7$Ek}Q1?hI<=b>}xR4DD+4G|IQ!K0h&({C*;cFkv4be?516gk>v|`l`MReQxC=TSLV2Q;=>!Nh@X2oW{e@4jd*ykB<&A^eiAz|^~*zl7%qbPM?D~V9VuHN;ocJTlUstw zc96tO&%+~5Nc24EpBKACFGT-{o9zlYIxx=e;TSQShzPMLCaGjFc8rfsJ4ExoKhcsv zfM^U&0KWLtn=If>mj(`I`M2CUBL=f|mNz)k6I%8ll;WZ6iycNhsLZc<`@dz9rb9Ym zNr*H+DsRgwkvV+1$UKm$zEtgK+1yl3<`-zBAGnqtaHwk)r_!JZA`HkDXMVl} zAZ0auf@7lysMMF7>9Clk>n^bHLpn*e@5)t(VF-8x7n@4$XxvqZh@k;9>Yf@$}#MW1vk=&R)+_{hM1KNn9= z9McWkkW99(NS?gqlsu)FhdC*o0nTMx5)JnC4mWO$6}JPa)G=`#oa0%JTTTqDv=3d=n*ssh(-1a#E)~JD*i*3%_kAa*l}E-|y{TlOjA6FJwj*yn81PHXeI5%s2iPDiwJc7#8iK#%c zgo6YrFgx-BuzVeLZJ^_#{7r*}>#6lg|Ba+3i$^e$O==t8m6&$v&#I)@o#~vP_=e&L zP#-N8lfWWjLGSFQ-+hlDnFSNUDLFH;mY>SP!~p;IjxHPZ1#@dpWgCv<$%ixYIo}GHy{Gfr zxfj1%+bk{)T!d@Wd|>UU-{h%FCK`8Q#1>w_Nx2mMgBx(>|gSLj_`7gPB^Lx&l{J- zt)ciSfckWkV1#3h92~#pO`9E<9p8#)$wel7 zzW$&}zP1CkfU4Dh?ZXGy24o>LbXLWf+lFHqoNmX5-VW!8kEKMh$e;S_nT!p7VKIL? zmtPAYV3Kjy0Vo;hr9k0DfFPG3nECe*G9;6>Hq-y%3%=~G2zHS+i#Ja zt!=vembfb071Gfy={Q7uE-v?$q$4`+o*okCSHe5;?t0Jtknau~G6t!;_r%C}y(L9@ zZM~->DLP-AgxE>F;_mN+YzegaQ|H@a#z&g!bN9&*iplEq;QJ};G^0(aX8>B;Z$A-r zOP$aBOtf>#vjQ9|>*ZQ2Q9RbrYRxwH^x=Xa4f$@EBDf3@&-11jmv=AmRdFZ`AybtX zV8OWw$wuC>u0EFiZBKj|*jm$c(oJP(zrzM)R&{fC4P^@+zPAN&%(Q=?Bign?dL){7 zmZudFTAwbGDu3g7TT-!mY@jSyxQW0&>IE7Bl(p<0b{4g+b`9;oJ;aRT(cfAL0IL`A zm)aE_UcNes8x`BJkHyLYm8$baNww>SM_wX5RIW}kfgWv=4yzdZr}A#FWLm9EAO@G` zt&jU08ERMU#szwAc1JzD=~uh_$xdAF0b?hvVx~|pQ0g`9TSurdXTC6z33Ek55gnVD zFfzbjGT`-vUD!750dD^Q z8$zQv-oh-ai(D`{D#YGjX_GzS+7tO#6v8TTkMh~}8E+8Iof2>%`8e==gJbpLCKRU- z3lRo5NiAr35#Jd{sUZR!rAHLH;ylnkpR1ex_(5pPUs^>+GWrX!EnaYV8?Nwe#^LO& zb|h5m-9os?vRiS;BTObL5BdZjfw4nl^Py+obTM>ILL6WiJ?>7g$bh;XU+9mOk;H^K{K%hmE zSb3ue1lQg3trocMcYTUL2_EKiN;15g`hWEM{N9K30`lrNW<}&Dp&n76ScSNS?LEnX z@PsgHN52?4iD&<@O~=JQw&NH-GW+k^ej<+KOq7glRBhE2$Y)5Cbj@!bt`ZkDQ}ctU ztNvLZq^->p@g>X|`p|MgQfam(1U*8#=o0g7*e09>Yg$6fNJ$HSB#}JyB z;`;QY7`bpt{GK_IGc@QAOG@2vCZ#x>->!bs6D;O8dh)ObNEI4V5B^s=>(vch5A+n6 z4?Hb>iHw*zZRk79?DpzhAnthfygE%=?s-mdOyav{I)&teSgDAXbOykY78l&KeZ*Y~ z41WtR+#YU?$wuZ3QE09gzs_zCud7l)9+bUTC)l7jFSb19;A@N^4}X*4tq`H&WNIL{ zv8`<69tQG(sJ0IIAaHfSrXxISx^D57JJAb>UJzJ_91QpkU7j{z1!#w*PQv@PNLQOz zxVo9Y@J^IMqU6OyDW#J1Gx(lx0Xjakj5yj@n2F*V*M0K2dk8l63p65X`1-`M^9;&k+Adto8U92v;A3 zajX7T2o_u=c0BXd98G9hFJF^K(ybIm~q^#4f7}6YMiEaXm(4i$(7l68f9~f31DV$@2cPj_Ly-3R5yeBkU0?rn#NL zx0$g>D`T3#((!3IBFYshj84=_POXsX@rJ(CPi5JHREAZEl&B%j{9q~@;fKb)G($z= zA*eocX3l=a17|#^m+;~My$E4zd^<}Tv%-tyP0!}LgFKWj2w@4hzV#0{3q#!@s-KhC zh`WR%_5~e;S~{FD+|EavQ!ID!;lm+o#@o|pswl+?`DQCzAx%W$YP5Gi&Ig)1t!C8Ni)hwd}+@L#%j#!jc& z;dr2v(QV^l2HepQUM$FFds{yWQ{N)pltWlCP$@vx!xrf3o}b_#_fLNH;R8e1JJoPP z&Mf3O!Lt>X%Z~IPyzS-lyukcRYO_N+F?MGC3U4u*W2{cLGsr-BDp3QuOU)NoG2?~ zF-Kr4@W24lNFqQ}!brLBK=If$Ce30xPi`{%WBSSVl9*(Q)-f5kA49UAw(A6_8c=tE z3H)6W8xJ>-cm#(J2XcD_fHnYtZH5Rr*NNz}u0~{lIsM579%_jDHINDDGk{-HJJ}$k zIHx*!Kj%RY128IzH1$Mmp3z-~Jeb5a2pP8U!k&>4FmV+sUwzQVBx| zA+B>u0aGSQ{$o1q0)RuP^!2-xHpnRvr?~L*GQN^`{RElpGoSrJ_(+P&8^*QpaibZ` z21xv*9YhoRzkXM+=rgo%>_#+8E-v4fSm^>q9tRpToR(q?4-*a39Yqt=cg8f51=2U3 z!tIX{{f!P|`IX&B!7Y}Z8Ic8=x=V_j2zj5J5s*9rig*y;LaBT4JtYHIP69<#(qsn7 z9x(oSK!lM_jE;yxB})*;J|}Vq$R1)XWWgLSo`_MOvTzQ_zS5r=e!GEBH+bwBk28)w zIY&U@*W;)FaJ!`P{44nHAqlbULUiKhlajL?Xk@S_>0jjKX7@OTv|qZ0?GkotkPm_yA)m*qoR z<~{H{MfT{h(stz@Wm5hD-!m>4Y*H#1+6*xwr2&Xdzmbal!9F(Ub5Skog&Efac~U4p z*g+8Mid$77k2dbv8akrlAah}S7%$^&?Tisf#@3Fs5|4+?NWRbi%=SY<r11oo^1L*t@cJ#28&p!}|6;r=`^gE*pWMYpsx^KT_)MYR-O8EzT z>O9)Ee@*`c%{MvX@ls7PJ{2yU9h zA7Nr1Q6E6j^h4_JoG>75+*|+RUpu=9anvyQwBHc&Hz)Rh!1opbgL?^*qPGS=C zA^RVhYsmh`rfOB58FP3l>SHjvZ0OO+I*U;jS+-_{#?*aBKS_~H#HC@8NqFI?c3sLN zL(i1T5>;}lzQ94VCcJDcY3Tjq--k_@<2Yqp^Bs=ypuL(OJM!X*V`UUx;d2QAXz)}5 zR>D(;GzahKG=+jcQz?YQJowf^IGXEA7%7(eNzD;acD^xg`8Mj z5(L8yMIo+r3iz0};zH^Ff+mSq_LyR^r7g~8r%0YVXN2~m1&~XSx6C-WDSI z{Lypq>*3Q{Z}dz{E+;sSQ&Vgqml7zl!+}sl;643HW87ia(1!2g2H@>GCrYcfas+A1|tZ>ksEaA}gtKA4c1dja=lMXo?P^-I3(4lOW~*fE2U= zAkE^1ftJVwE}9D)Pe z08yw|U=699JslJVgs1YJnXC};kle!`iG(Ic;9603tY4)LbTbn*=yH$_h(s%_;Q$}f zskjcr7k#I$nvn)H-|OobXv)GXj=rIU#yT3eHeD5ec9 zo=DAOm!j1g9JCay^a^-LOiIAgy?H>>!-)!5!q+$p_j``?)#QTtZTre7^-SQev_V$L zzcmy+C&+Q>e>%50lM3gg;(JmY-V(UtpnityUxl<)4Jy#LS(1f16*rTc!lJ@QRXB(7 zN=u;|Mga$3Yg$vNl(({Se4V{<5;r8z<7jkUe~O$!)_YSdl$@h$@{1fCnTD`%0d+Fo z!LKY06pW(BA{)3_7;&jo$YoPbMQ?3t7!o2_k#RrcG%oH)>Yx0+Nk9G_yeEAekTA-- zcxnyzBtN-qQ(aHza@Q?t`u=@Qfhh3=>*MED^?!NQ;Fnhww2)s^HTmUL(_daS`{h;T zIQ0wb`hSJG(OY$yGKa5{HtG6icRVx|uwJ?gX;Xn6a5cOXm;M=bleg-!&g8Bov^vg3 zeE?1nP^ya>ku4f0Okyq#N)TQEc89S#cP?75E&?sGd0#yls|V}V^LeXu;Hrz2pw4kzbL6}cUE;XR8rob z%KMzYyoc*Ek?kye+Lyrlv$=9}rdkbm-x~wrsa`nm5hpPv+V+`F?{toAxRrEX-g8*d zo>Y#kr{fTiDE_s4!E=wg84B@e*|i*c7!OC(P+kHA=2$5@4k%m$hZ1Xs>_+)^7Ef&r^jus^UzeyD=pX%u=6>n`iYjboS+dgDjEgi?6D) z)ej{M#DK~OM2ZR1pc1FzbUu`w^>-$4iYYI7Pla$r39rta6A9~RVdIHIov;B8X`FK` z@gs7o;;FZL_G)0KSQrLTYOJn@_nro zfOp48!kD;(1Kq-zCe4on>cckhYRWzST%- zB@v2(uLdV3D81%4`@o%7i&yzzUIOMBF_w&oA9b{X z|9v}r`|p6{BmRM2I&U#q?P$}f;|$(%ULn2V;I=5A1%&e4Y8=W153|(<$l|Zc1!QCT z3o6Ak8S>mmJfKb;21Wk|Xjk#I+%-;KKg}zyFrD<>0rOPW`3w@b7>l=w*l5SY0Agxo=wqk1C!&OS;D1`mmzr0$=;I~Jp@KYkNC>Bl5)Q@ zjrgqKJCb+D!6NJUd$NenYozbbgFdg8y(7K3k2LgSvhwfd*mf0e|G}) zd9Bp?H|ey~kjOP7KofQXb>iHWL;D0*{be#s;wZx`{AiQvGpQOS+#rLmmtvW;`+|=+ z#n&@@XK9~=a#St9myKHmErF}^OqO4*0BCV+Udq4tkNH#=^AqNe{FKR`*P0z&RDVgc zPnALt84P8dM)*W&S`AlQg*%n@81o$@%0?$}x`g?lKhiEmb2IE!C9ND4wLwRu;#@jr zJTc#PeZ)U0Li)m$mKelA+6o-CC9TvqvbkWn_eHfU(3sk(^8i$~ap&Py>CB^SNO@iI z-F*C@mC>m&a7?$&fEuJr>h8uvM6ExD#JoZDpP8w6+LcmEUaif={3>s!@_}_!uLI3SO}686 zc~WcKn30dI?%Qv-B(5cV@=2}bs_gj92kfLxWW86BMd$wmBKO(g5RgkaCy@Sa%Snw+ zRd`oAiql=+e7CfJXUVJy!K_D#h5G|!1RVOZdc@dh+E!^ZkR%@V89NW-wiv>p>+B0W zf`4VRV6pp3U%hO$Lu6K0Fb}Eu7aY*5bq>0-I<%|*?SKBm2a<(@vmZ#@05YP%t@)fd zx)&foh)UTe7cz2Lwp@>2c{new!`Fzym3~jS(i{Y!d6%05> zcDR7);Qxp$smsxiM0dD7=nzRF50-L=%P5s<*c+_MhXef{`8_SCL!smagUbjAKMCi>P6&8-JjWY-S1=LnLBzSG|9B$N~fJ%P&(_-s~ad zNJfBewq%wxw6x@zhM(L$BDfH=H^n|3k(v2T)+*RGkVB_r8IS}C{6;YfK|-^}J0${6 zar?+Cz#A9OQ`Im~l`{gr2eN<+t7#v7qf?myTbGBuy^@9Pn?}qKg__*auqTl2PG;Vh zd0@23z%FfbEsDPWB6j$me_S=LQ~laZKi{Yt0APNO^JY}~Vap?v>GNY&GPO_vI0#+{ z4F!G*kq2sax6hmQDlZtq*K{`bz&V_A<)IXx7#Wik>NxA9>w+02I%)E)rOg?FaCvX= z&zXOrb)r3^fC~taQ)rXhx5af#D6Xe_)OMt*6cErAoWIO^ecU-i8q6L=$el|i1HQuh z^XC!l53sz*+@lkYel?ScWPgYgA8}}`(LHHs8dKaCp_o&x4N)^$fw-@XYshzgD#{W~ za849riIGm8*)v&qblOSBX>}KRC33bjjzSGzF%{;CIhL6?)8>bLfXM zvraF(Ysg~a*EtBDH%>0raV2+|-2v_c-n3Sex&DbqSu>W!2i#&I#I`Ng`t~oT^O?g%4!ALjd@eSAgZ>u>na_BTfe3_=g zm*LVW-WXyXFz3p`jM6vr5CW*1we>~e{l+sxOGWRGvk<})ci*ZPv*{=4s3n;9-KlA4 zY7YFM7Hjgpm=Vuv)cX%NG|tHNqei*Cqlg*p6%hM9vvNsJd^V7`W=_}FM8X4}JjFVM zsg1k0F+4q2l$qJRNfC_X=0f*q7J8MR8%8gpJ=ir1CKdTG6PiVDZs^9#FB1799kAaU zbA1#!Uwnz#hV6DXx12%hjnQc ztiR6;UZ5nmg!C>DMP+uGEO>Lksab41F(cL8usb%gDpEpa8iEy z)dOgB3Bi&VMIB_dg_!A2!1M0_)x3hBE}`m{r-T3WqpMTdY$W30n}b8_k6w(Rm;4Ge znvb4`WDOO=qJIoOIXxm+>!XCr?4ed_+NEMY98uPpyl==~kXjO~NG3PCkA5^GiUh*| zg&58q;(p#}!N9O{3*j^XHYn+QFl%5ogwOWaR64bUWl6I|Eay>8*zaW9&#~WWC`kQl z(A>G{cp4lxokSDAd~eRYXLo-6uLD9C25O8_VD zi>R&Gsmo*8D`LzRTB3MyBvX=<2_q7&PzNgD=nuf8Es#3ZNa&P$EDHs2Jo&DJyo*L@oQ~fBbu} z0T^H7#8Jso0vv$T6PdBw5`2Ie@0bT`DwE30#-!+9i_^9H%Rf~Y%;sPI2fNoR(A&hT z69qje^2i_-AOU&hm>hmwAP%TC>JQ!`IZC0d??;9d?8HrU>QemWpF&n&i@Izs-LYIW zm!#BO=*(_q$t>hc$%&aMkUN0r*`2Q~yMy3zxn>VFNBdAvv1}8Ba8Gh}#62Y7Lz291 zA>xq>xdkL8l%RclQH%!I0tt)14HIgJX017qk~@-Am%9T)QC-UZRVS|Hf)Q36*&k#j zk?iirMH?aCuLU?#66R9wNRNZSp-vML`I{u5mSTo$uyG~Xm}RY=TD(zkA)vJocLXA$ zu=}!AC|kmlrg$BSipvE+C;(gtnKs}4?6rfd!mj)FXGiBS)NqwYp^%Xhh>6FSzxXfu zhE6yycK6b38(K}f*J1~I;yi3CI>S-v7)zJTEeE+?TBQzTyA^gjMj`wA9UD7mS4TM&82eU&?D|l2~vDh`!)%N9Hia1x-s+S zj}4i-+#MG?;Cs5a2+b0r1dkcR%mqA$$zWrM#I8>&ck=BI+_z@wB7Awo;K(I~Gef2x zM|Pie<}!AvQdCwAHaqA!k(?e==qKLgF8y%peg>A#*y`Z z6ZcNceg}_4KMm~B+DVl2n3Wc=KWB|9j%R?}8Fss;&QjI+pzM0En^Un@GabMegje1* zpAZq*))+P->RZm-2rp!Qs!%}IZ}&>O@!AuUaLE!|r-Jiq?3?>>&rY6F~%e(#fb}2R6QJWQSy- z_ga7)*{Aqr6x+`>-lFTK>>i9hk!v>U>sMUk^!%*W7kFWZ{n2qkBF^7z?bYcdO>p1Y zs$sXpI|g_YOL69$i5oFcJ39Ba)MsQ}%LV{v+q~co0B(s0v_CgzTyk|S-4#H7(k?f^6*y87 z*-B$;d_8oW#Y!XZ*Tnw;phXEL`{I+Z{253^E^;>Ad9KevMRq zBv$$rq;vqU>tV>ta!*5xd#IEF-;&_w+mk9A_L>Nhdg#732{gVZZ4*iy%<^k?3a9CD z0z8zaD+S1?$M?Pl(z^W~*SweuKTI&Aci(qABrfox$O9n9-PcH)4m7C&kr^0eK>JKK zmHSu5NWc5&=`nHWeHit$sm(NuT*f<36)}XY@0aFC+7!VNkbd9Xe|l48I%fC1x+tB~ z-c;oCdB?~vewyj3(Xwjd)K~qU0lh8x*zQ`6T;G{J!OXhtnQ+?&od$^3tg1h&I<+G~ zinJqE%|Oaji(-G*mR<`s_CMt zKgNcR&3Zokui}-uK9CP34JW^8M0cEufHf!~dAD_a6LtQ8$tk;Oja7qL)nqKpPvgdZ z8>_}HV4Tvms_8VoXtmiah3~eUMwWF+LCrHW>IuHxjHkoJX+%GN6W&M#^iz9Eff3gUxq6d?AS~s4e*LClL^S7^ESfef%hL zL%iW9E^s8hAWF%mM1Hq4^XP99YC$SD%Y1Amspq)?7576gfQq0!AE8J=lDR=lHZDhg zcnMw|Jb+ha@N@G6H*?bjcx+h+Xqv!}f-FjWi7%lg9c74DN)tK}q|{oRx&RG}JW?-7 zwkYl)MIW6weZcsHw1dNvNs|!i97txfke0YlV@us2k%U|x4J?JS4znN)G8Rw9vX8Z792%T10KsY_ z(5*RL?>-x-i8BK<(aC$*S3p1Q$rhRY`m@P&L;F&`G|1J~lN8`8ft~uOt7J02@&z5^ zo6`#Ey=`g)=kQNBe1bj45;6Jp z-RJw-rz=37+AgPqY|XK2C$dQk=Xdq@)fRDaZ^JoUwUu*JbgcS;x_IK}8l5F7aK+h% zPhC9MxAky8-!W<;ZTq+i1NiI^hFuELFw(6Cct*n66C#e+c*Wc;z0 z+*qNu0^D=aeDig=aAY}`+o=og9PX~MDs43Bo_U!b$$R=GwvSZwXY<4jf&iY^CT8o` zWn^^{q?Twoltc4`yY6|{Lg|_=Pv+dunIX0~(y?;(ei^*z%8{w;NAKpQHVA2y|H~A1 z&rxqSf5>r`7&x=~EU;GGUHE;RFDUSd{?=SNXM89(Z{!;K6o`6LNG=}pU~&|%1rQs7 zIL(;QE|OBFw3)+7@bNYREFI6a5baLKV?60zxx9-~B*_sS&k)EAUo-6Lbf!V-T@Ej} z+LyA}lK!J@J%a;B$hmi5&CjW=B#dm=x$i0*W5(@DTvL z$(#*B7fGq;>_Hl@s|vD|K|dt(%>~@11GAM5pFx5EW3qDt$V7L*6adJ%M!!oH((NIjh4PG4#KIv;bm2oxk)Pvi}mM<$D|p4d*3`#8M$8Nc*aeC{sC80E^Hmk< zsgrc~x=OaF5`nFcs(7RoW(_4$E4279=xm3lCxyJ6YKzp~w{1+Nu{a&h|D_P~f;b*T zeT%Dy)Zkn1sRqtLt78|3U(+k!_zP04$ihX1N6L!IUhRAU6f;~uYIP{c!jPk$JR8lb zB^JV(0_R-zJ!3&05RSGV=P~5Q##))wN-dyxN2`p}v!5-i&@xSYEW|s>lIaZHoASOz zN`#iWIp*4AW8tN;)~pV76>m|6B*|T$7%A<~OaHB3{f=;c4c@F51I3n<*(Ya)N(+!@ z?-S55>h1!^W8AzJy#U%~e6mXIantkD5n(sm_y8ylKRLH>x#=dgKSuEl%&tDTFNuxV zyuimLa;g8xnc?nwj6RJ1kzpjcK?Gv8IZ_pIh?FaAP1 zC!+Y#Qt?825?Qrndu1<}WuK_Mgo`q%qHpP(@|XY3?l4jFvoBsUQhU_z!21%WBcc0_ z>r%d=rNimF8T#fMNeqcYEVb5(w(U%|@X&n`^u8B+MjQUw>#hSUSNW* zltlnHe!c7UymVwr(^4d5*rGI90;(^a{W&tzz>p}q;JGD3erM;u<~yOOZ~|jhW`i?# zJnpgo;!qbvWd4W0_Ph5c)=wMZJXv|AY(O823yNU8`Lu~N{U@g#@~ge44f|u@eqwu< zKB3R>$>nq}yQaoL1fPLL!LY>)mqk_{J9BE!*s;C9(ZNl8A1t;BC1-~jpR#)c( z_SBo^X-6deOa}%sXr@8OAxuDybV%l@!#lNW8HJ%?-)gqayt@(m_sx1Y&GMGJYs`>C zH;vek4Xt#Z+uaQLqWPO;(%21oSQxi|a&KCMWrED>Pfa_Vh+LA!V$IHdc1YidGZY-V zC8{HS*y4=qH{WLWqg}R5_CG(--1z#;T&{IwV0_D5{{eGn(|*%h3cV;W3v-7cz_YS9 zVMEPvv`4C$JEsMCSvL3Co;s7=FCTS+WjrpPG!!l;3&$Zk`yj4?y)r6H>W?f;w?lQm zFTS_4n)<@o6uw2XbYb(i&&uZTwsc*VyzKr@{(Y-2WCbE1*o-uY+)%>f;EObKyP}%v zRKi;y$FnS27bow&(ctZ&^0Y?M;7l?3;rLQ{(Rwfq-`(blc9^&6As1*YZO&8^fc)m# z@WO%%@x9Xx2)?*!G=|Sat>!-Y;lJ7>bKqGsu^85=b^@Oh zeQvrEXgwD;sL3>$(+Qksz!+YNg5xYXN}+@Ik3LHP-le|ji674?guiGszOA8h*rHdziEBmuO&YM zcTOc^#KN-D?`q%w-TKGB_u&KQ!r0N1e1e+A;ikx^uM~6)e-=V~nG9H`%e3cy{lhY=_aUF?@kciMTrF_od zdK&XlRN?xwk4Kscj*LRloWp)>$?IyVBiz>MxIT2$uZ?HdjvoXY z*G2>@+GH%OBSRcM0g$~r=r?z`HRd$)mO8Z~iHNG!PL^)mf=)9VSK^w~_IOaQg8PE} zC}n@O_}Z?i$C`e&Ns+Z6+4u!oHFf#8O*M6E5Emc=V=bz)Iu29YAx$%!Y|>3yU`Abb zxN%N@@$b`E?T@%Id@XQkntz&8dxlRTsJ)h_L5P)35N_NEi470}P=K_i)(xcL&>ser z5Ew8(mX(S5!Ta z6sMY(vdbGln&b^<+md)}Ak5;OIB&oGql!aBM;?b8zlOk1BXXU-+!p<^N6-^EOOcu= z$`ggs%-k}H*A`LSO zBytIL+6#6fEXAZUg>$6eOEUqH9IT9uk)jOE^sS#&*bWYxHCXv6KX8_-T^ zI&xBnp-?mFped%~}iSf z4m^@6&m-H?O(?<*hKJ*nscPTUoUZrO%xgAqvY$!7CHohQz{6TPLjd>X1+NHhmH1({j&(GfpRMXi`wTq6P}0064<;zTeF zE%&p^Pc!vT0zs4l>?EU}I3Q;f8U2_5GY&G^ul050hKq^;g4<@|k6iPlnvCUbF*%=}+4n%6h&hLgQu8Ce(_H>&ifO z&1F`tn@c6FK(a3|`d}Qxj+m_gA+keuEDjy4`NKy6Z2UxWGSrBr9I1B2i6a1+EUjqX zpMA)xmxV@HpV})TBkhlJa|0OIPw-Ge(6^z3xbPNX23qVl8D7#O=JMDXWovB<=j+PJpIr5{@G@qtRmO0dfl&S7pcnP3G}*2Thh!T*n(M+L~mG4v}oI= zwO;4|a6C+mgsx3^`|-xwRH9_{aU`SYIGnJ9()^G}0%RQ1v(Unq=5QWYVd$|oA$8!* z?It2gD}LS|z{0egYYfXzZu_Nf)shVuy|k`F z%Sgg6BQ+6#AoRvj^CX<8M-5vLA77e^Rv+x$Pc}d3{<;#F zR<$V^JISKa=%&$mWz@!fjIQV>QxA}(cxo|55*D_=tAcY)R+T4K!NlYg$whHt1v6SZkJOm%-g8S#z4#MZXZ(OP@hS0DKmR*7kszvMQV4zG;+{t37P zLNK_cXt>~c7J##+Ufz#(>K|^vMO@rPmr^}o2I%PjhMyuyLKF0Pj6lr;=gcEFeeW#FVw8(kP9Az?SX zlF1H~A9xEEwE+P@AwTreFyX|$YIn66kM;%u!$&AU9QpxbvgvGdEf6Mu9c~-+yx4Oy zKrfU>b}PR9-c7SO%Pd&P2o`_baRnozxGKG_Za! z6Vo;qju+Jv178f2-^2Mj(6PGSe=QXstKt4l+fzxO^)O;!2}G&WAp_=?rsoJ|)OJ&K zj63~2U}Hk|`0j-3)_O!CpqfCWFf{`tr^Wdg$h&-_L7U;RJT`WDQFt-cz#+*O+U8?A z9n$n&6&YhT?y_Hh8W{Vo?BK_Nqi@?5ZR6~Qt)eO(a8{^F*}~nlq7%>!g(LulNGdZeP>2|%C+7Nr27nZU>p1Y!r!VIdO$ zVoh(KcKhaX2j(Mn5|H4IWLz5{K#BMgA-^W@G@syh(cjiiq>k>q9)9XDxFRyjTYaq4 z9+8FDzaEP<0#etV2mqr9;WnDU)A0IwwO^Zpc8vCR^!~`XWa|H%K+4WX=jKqYR&~t? zq-yFqjP)0D+Zm3^uvf9vFRQGJ#{nc<-**^1&rMUV50IsUQr%iz?tpMFSgXsI>upiy zx0NS`>mjUEMudECcjcP?kxq|tv)+166Hd1E1@6~3j0+c?kM9TmTUuRxS=cdt6s|ampCqJ7Gfn+ZL1|?2Cpwo~V0}LGPuVn<%r`kN>RjRtKlnmh;>JbL?mr z4U!GeE{>o^b}oc5Il}DB=%lHY0TPW!Y==r-R!J{$92qWFJA^<;dSf6!Almi0Xp0kk z&ifwFUxsQrQjIogVr7V?=!&lZ5QmwKQ+r1T`dx#>H4U;9;%pC}MfCkbn(%6GIf$y8 zaD4n(R|6Vy;zW*|q6GWA;;Top_O?{FL|--b^-D1k$wndp(95!vjzL9@?VO!R?N@bd zUkio;Th7GH-)bb`ZAiUm89=!Tm6M!w2(HrLS~aYGDEVmuiD3pVOUB%Bra9w_;?D@j zzJ)i=)S1Qe!S}9L*Q#mfgPh67%&ld{D-WbRCzGJ4=Bv}ZGGt7zO{o(dBajn?dIyL` z+M#hvHFx3|iTRrV*|U8PogivJUPBH9hXE2{;FCx%1#OC8cW0~*0t+F{9^=k$OZfNN zPwi0lGH2W3fOoF@4nCuUYP;oI$#Of|0^ceiu=A{!*ohN^09UZXUN@Z12cVCe zgT5D!J-A1AS)TdnlohCTvVuQb)ycpNPtcbHSbx3 zyz+3>)sx%xoJ|l2j6EyQ(|~K$`^{r6+M}{rXdCTKGVeLC_kf7*({b}a%8wRdO^cE< zI6;EcjT}Kd7p&Gqjc%QWfCMIjzsOG)O@60iXL62Pvv@Y`At(T4pD3{RFN`?8#W}N^ zOFrP(EeT{#1xNiH6;kcAoQMbH7$a>a=l?Tp?qi0}XI!pa1s&Bm#_Sf}Er6_T`vY&~ z{F|JSai;~ZXg1ufJp$~W6=$VUJNObF2HbGE4jsIv4IBLs6!)C7*#Kad8)B4PGT6#J zz*990iM_1`vP<_)n1~QcUR6A(c8kwTZ@Gvf*wHWugC;f z7f3gtuRdvYfdy~f(eaMPP)g`sqTLYtFllg6LVO_6gp$=Ys8#C8)g5=}ke1Ck(? zyug^Bfzc3xT}QnJs9PrpUL)|<+6?8eN80jeW7?S>r+Q2bK|!#iHnvp*AW)48HjR0S zsWtwcrs+b8mM1EZJD9Nrpn16dv=wSjBo60n5;UmJr2eec0u2zsF3bz$M&hf5{=oTA zQbhh~&F~othw=B}p0h1-TFLivHG?_ZsWaZTKseFfaRXzVQ&)+q>FH|8l}5lWCielHh^p2;20HQN!AraBY z`DrM&#m-RGpFZ0frg@z>p8?^)c{X-4U{sxq1#ndH}c?`qjlqbbVUVIgAXBA19J@@HAnNqpmxuik-ZgxlB%)2;MHB zl`>8f*;jBYJ4BkHC(d<;Ryp~FN*|To zl6;ZH@l3y+rFm?jd+5gI`Ji-u=A5k`(t1ePyxSq1@Bpym)+BJ|40t#o92DLGdd8ib zIuJ+)PU=W@v$7H9#Sbymx=pjV2N+0RY!%5W&19}RNjgZ1rh_rH%8;fyqVQ4hZh$}1 zPJjK;W@|uj|2g;F*ca`VdL3R`^{hGG0zTfxo!I%TY)(wM6@YWwWN`+xL3uw9ZF2=? zEd;mVSaM_?*sBUB^n4&I7kN9l5`4HE&-5b$2t4`$mzy4ZYe{RV?SZDJIFe;e#~+3l zIVj}*kePWt+xb8ef4!T9(?HW->aCPa0J7+Zw&VoD%(RZLtN2wbp1KgPu!6?iaq7y# z-j~}g->SeC>8=QsM)u@-*f(c@kg4X59k=}=V*u%uII5rea$ztHaA_3NWaKUqgm#)n0&Wq>!352e{Fj^FV_meUBB#rI6BEe}(14&PcS$ zT-510bt|17m+`#8@rU#E!`6dI)Cm|8_?*ft@mB|=3%y@0cl<(@;!{V;0r8CI-2`Og z8&UB*D|0y4E-8>6q-c_9eLZt(zxE18n46`v5a;{hpJ6v&&_S|YbmsMERh|cAgX!ob z3Ruiq1~W1wFx|nmkHfigJ2EpWn|%@sXTD%<^-ANS3WpO8{`;Xl76mPBEn*Lr?hR{B zBsvu|i+l!-7ZNxiPP5sSa;6@8H+fxnf%R|vfeu$z95ST<_fe9@2CVvcj;YCXMg%K~ zwoVy5+75y*JM`*c{f@|ZS>!uKNqhbQkH){#UqL)}zWoFH|1(FrrcZ##0M}V)kHrSuU!gJ`*T{f)#}A2m=Z`zG;PLG9=->N_@m-l5XPnhPjz0vhk?HKA zgD0{#AGsBFy5f(=0%=3u9*o!$q*%#jYZ#IG{-^$W@sGt?v~5m^w|Z1jf4%s}`Wt`k z!-ripkiKSw>Rm6`(7&-q3~8f@p30Vudo~&?j_JVT4*Mr@vIC$l!4Hy#Qq&DcLIVyI zND!njE20M9pv(`Pk9AWQpDdG9g33OV!fg<6j>bO0jZ&$ z6f$&}e>(xzFPwTPUK+S74Y=*5*5M;aIvf7zw43UoO76P4u|MuUIlFKFu+3>sreF53 z`1=A4@l{Y>O4`FaG7ascGhX5Il23Az)Y#89%r1l^)1iY$Hc_)k$A9~W^)!a@7sT7p zYy&vWAayi0l|2`)oMzYbgT5VLkM(3eeyq-)c-|^?Gxw7W?aConxF@&Ag48WNe`B}y z<*DY(^H*vf@5Aa{#5rNf&VDVBc9_Qt&~!hu_D$YgX?Go7ofD96Ue)xkmPdO`Y{Jm& z@g2wM5d7`G2e0{`Re_ohj!RMF>^qxGL#x>nf*%|Zxq#(@6mn#zOw5N_R#XkL{!|?p z6tHy^z~NR^7M+7n=Y}l2!?!&02P^HD52`vJI&i=Lsbmt5rL^Mlp)FqHR;Hlg14_0+LAbc@o*p zACgIP=xI28!$G+VI&-d0vznHoKdnJB<-7B+qaIf!IDysVW_(hcmbd0Vhn)if^=>}q zi?SsHvjp}#CPgQ8O%n_03!wGtSL#bsb~1K0{nom*u+m9I_5!0OW?*TIs^B%N86llkNx*Efb-0$&{=S5 zIt$Y8(+J3-3|(tyf27mHme{b`l~&P&=6Hw45IooYBN}&w__gNg2|)r*;4NsNBQp{~ z_&yT3{gGWHS39u-UO1j4Mk*5l+=RQE*s$cE(y>FL#Y|Q_TkY885sRPWRX9Y#l_Y#@ zS#iV!X9Z*oAITqx70nCVmsl!+?PhOtarkx@Jo-}rAaz73rq#g7a%vJC+A zHi`V8FLb%kM>PaN6M+anjEA%CRPpsp+f7O8tFXgIT|+iIM0oii72#u`iH7J}vhnb@ z6hA`z@KD&rxBSsX5x_oC-3YNm5ynA3GJH(%ZGak)@d3xXd{4UMsoas!KJ1nk64i`a zi-|}?)B^s`qyLB~I?D0p$j%VczY+hAX0i=CvEUtx{*oc;8(}F3PxtAs{Z?6IXbwAu zogVuUz0r?U_ajEK431zAFeVHgvw-2!zX|szpfV}_o>84xDyRGfC&7S^;rLVdaVU3Z z(nwDxJ&LO9f%^4F%U;OOl*ocK&jbz3r>^+SmPE6MM25#2aTf#bB7)~7Rvzq=Ubvf- zf9m)Si-rwWRCsf-<9RQ@HxJ_K3p+7586@OJS_}2Wgxm|C{{y!}%_v$^66wEa9iOES zm=k0U0QX@QU;2Zc(1d*A5u;rWEaK6EW~|!^wIKNXJA{P8@p(cb=7P)LVbZ`kOd_0{ zQNz`;pqENsYdpZy7wg9wtkM1c*tCEXL7fr2@y^WTj zv65@V&!&R0YlZAjwANjAN(46PRD*=hvjpGRWSWpiqY~H9(viTOl@6?s5g*1*Pl-!3 z#;i9h9a$kzlh;aX=+`kDvy^7o-!Z3HrFKW1H;dCw16Fmc5IQk2Fokc$N`+9!`?J!- z!wiqr_j3~np001Q+;icGQIl_QQ4=W{OeGW7ibw{sRWw*h_z{G&;=UDuN%ynv&B}(R z?Em>MeE7hQ(K|`?>-^~CVl(5z8K)_@F_7@$?FxS*s}eq$&860bcDM~E4i!(UWhc9p=U7 z{8EyM)zT=)Fg(Kpw%3&bWLA?1LsR(N0fARer@>vrqdCkB}axXn~E2`wC72+~7i* zk%pZ`ReRBbIEd*_8aRgzi^RWQ))7w+{lq!wtw7(ryD!f)Ep#le*vsP= z_68mkrxLt94J}Y@agWSV(+Bl}_xIxc{mGk}4mo&>-8UA}{Bg1wYANs8@nVOkwHLBz z3uKJIF%G!D4RYPy7JhDN?dBI;47b!JTD)rdo}J`uTon~+_&E(hPnI)*>5?}0Krc3&~?jGT8%uxM|HqU1%F39MBReH(J02`PF3lv^cp0PIC+T>#WLr#)akWN?cCukL@RY z;n>5A(nj?s5|IYpR9htAK0<54X&X;($HGFGjJ>OOMhUDp zqO5BNP8T-31Jo1V2YyBmXuFyd$_LW){d=2jn=Skm*+Z)PS*=Fejp?P7WTpF)+P$|` zTwy^Q(9!bpa~h?s9O{TVY~E9<<^pHo_cqKvLdRMSorN;;8vLf*kewthixrW9y9DFv zInQ>kYmaoW>p@{)r+zo}6jHst+LhXJrb5Yk!3naq3~YwLinYdMi%@wk7TkLqWXC4J zruD^zR1tg4a;Q~aoXK=rYl&guUduDmgjJ<=EXg404n=jsZ8e8;a(nEk)~lffBt+ue z7ULD0V~Jt9?!IOJ7I|Q{0K;s1Z;yj7Lf|M|spqCdpvj4>Q5+zi%IefPzCh3>0+)bE{&?~jWt z7%*YRfCpr zSfXv(4FjeyVExwGJ7Pyln=aCjhG(37wmCK z4d!5_hU>7&uZ7N3ULrp&7d(BTt;tY^*FNP%rropp*`IYIfUTdVKS`XvWdrl{L?@(* z7x*IY5W!=gnq7W+HZz7cgaa2=a|Ecweb-8TUG^~(QDnTt=Dr%0=Uj@$GM1s z14!Uq0oZ$ZBkXKei5PptQNS&s{p#KNI1Fe#rDG^IA>5VYh<||=yw>J@ix|fOPdT|X zoO;a1!RE&3;Iw05PU(&&>$;+*?LM+sB+|TiaN_VE+Dj!<$KnUA%->8yAbW!2AQ)!!xRPDp>~_p9R(^iX=xogcl8)m1++V`Sh|ZhW5*Rk!TJ3b< z&a@_5Ee{^CDL!GiC5|b8an|*tqM!t_3Rt(J}Xlu zNF8j>9J(#D@BG!7yU7rgCcEHCtM5OmGF1nrcPbWaxGc2s*1--VdVb=3QFOyI$MH0C zG&%SY0I%)NF%OU|iLRhceM~@On^vR(6Yw}v_cBe4zJvq09^<$cJqN1*O;$0u(dnXK zABM)>l6j6-{olq+$J<>;+iSjKUtSu|`Y#nYEIg_J*`xJqpWA|cwH+?@uMF^)QsGaQ zXB%OJUyxhCxrLvYn;)2T}yD8hfAX zk$$B2!+Czm7xlk4_5a86i)CO7INKL=f299~N5G3&{gYSfN>QAC7|DwlNFCe_J|N~W z5b|EDY_7QiE=NnixR4k;I(G+7VA0_c{+y-$mY?-N+~!$zLECzF%8jo)=RJQlx*gu> zq>(&+yPhwe3LG!6I56Rv zEJ)gDnad{z@sXFN4@|X3^Vg!ORqlI$$pN8KVC|hSbAbwQ9qV(mgMjh{T=N}64KK`Xg0 zI0};N`T^`pTD8lZQqcowy}T?+K$0=W0C9wfF1+h2_9-Sb21A*$;7+i?PSW^_A$4k+ z05I|%XaM{WVxE;c0EMSvz(@Znvtt93JxC*@Pjnk4Rz_A|Tf)^yl{rXKB#Af)!)?)t zsi{p}(hxz!WMRmgxtAkQHVE*XCg-3u;Kp)OZY*ls5Y!5^>$EwH!AT=xTNz>@0JTEq zsb)wbOMHdpj%uv7k7}pL8O<6epfT9c$YR1c;Jt3yq3J`uNSP$yA5dQDFtoa+ex_yp zG$ui6DBxsgF_Q>1=eoRWQa=SN88w&BPGA9$|1UWX+`0&HCbVTWrVe{A$w)lKDKohPg?LS(LEXA^ixXJvPOS!+3xU-E2=l zGvM-c_4aAX2fW}OySJ?u<5?-dwr7F6E)}Bi=|BAYD1KF*Ii_JMFpfSslgYU;Q;!1D zs-`vfV1I=RHjb*W{R9713&HVC1<#hH3MPW(AG*sf_lUz}_@9@P}JWTRP-*S37e3kQS>1EcX06t+ZdD z-l#}Dz{();V#ikQT0K^C_R-=2MVs5-{+^91WcV^8I_aAC z9F}OW6}|g8%~RC0Gd5CHkgQl zLB{|A%@z$bZ@jrIuqyn8FfaqRfLScS23ZZ;8@~bJK4WYv?kNVOmO>m9YWOE5$Puhtrj{W2=5r9bjxlXIN#s2C@v$57ADJwoEZm5 zJY?~bU)D@6lM}Hb&YGFn@17OJv!DB_L09_9nJV$!bywTN=eq8Vvy$egqp>DG?J zipn-#>KeIcQS?}3Mv`6ck&a7mlI)&)_D;`|N*DFhcKFESJ5l9=W>9g&y3s<_l6DrV zBE|o!IefkN5zKvj#8}~-4VT6HvtLqYJOv>LaKHkzPYh2zFg7*)8}PrOBR+&k z_N^N{M!w23L0;5isYUyC{h@fiQl;D=)2e~V_LZ$}{LT^&MKy{Z;lhhtB2U#U!%v{b zP%eH(eMJXVChVY5_oi)z2V4JDGO7)Bw1LJWStZ~8t$*~_fxd$fSo%y_RI(BE$z#gd z#gCpZm7?s^w}Jl{CYI)PxY=*$mj_$_Rl-WGfw;j)=wH#g0xBB(&N)a1)FbrMdvsIP zdMX227Ab@1F#zHpyy8eb{dlnD_mYNCvoEWL>FY~-SIS*)MGGHgg+%Bk;J!&dVFbOY z8VNBFa``8n{3xFoXgkSs6)7Du3E`!6#O(SCR)Ad%yK8xnvV%B@f2Q&?Kpi~yF-9Z7 zNjRc|_eve8BMuFa*BXSbujgR92Mq=qz~xwsf=bg-=Qup*M<7pqkJM4FkqRZ z&J^|=`sG2NFsQvy=p)&(1-e4O9G=h>wE9CU&jlZIA#jW4*)+?5$#rGdC};jWt~^|4feerA{)QHC1^CNjaS$cO&H)_-9oIW#t%Q)*f|>O+MJ zaF99WdFh#9W}qdGtKw6U(doV?1D2}fWzu{!2r~Q~`qsbn0}WFwIEp=Pn+E?2 zyDtqSG9b+at(X?079rf7{gyMP^CPwXP=i$9SnQl{;G*ja_pq?2Cqb%kiks87KRW}c z6yDr5qNnN5g*4yL|J3gmux}9ebIMzI8`9ABxTpb_)JY@R)WVpx{^38P-WwKvzg2_x zAtBGzcpi>Mo7GOGWb+6j)Ejn;eQ+Z9$%fIIM9LC0wD|RftyJ2Bqhu!FF9c%edc$+} z8}@qD$zz>7Fp`UdDG=n~?I~`(B#_PoLZ=7QwYtRD_$pkOOeaos;z%Wy+jy8?u;WmI zM5j%4+So|zGBG8Y7MrF$(B`en&JvlHNbbr$wI<)_D2d3`5~(4P@D(@QsH8b{`)4zW zY>|h@*PpO4RP)5{EIp7C0OQoDw+^$;sZQ;UsePSVT4;j^z&FB#sT2ES;y@=31ax(5 z9t@dSrw_*T)cWN?J5#&BmnOAaRz(`n%UC$;75)9dHO`B=MjY_ zp)P|@05`s;1;SAvotJ-nQh&p);gmj@r_aWwYB|H2UB7-8pf6%Q%`F`IHi_hUt`_Y?U=ap)RA*N!t1$f z-b-woz(96*oRF#}-t!VtSGDLQQdLPmt|5MGq>p7VG%Xz*R1VZt%#mzJB!+~noTn;3 zp!IzjJW24pfG0}|rt7$1MQW0X+_+--sdIy~XrWg)+R!#lKX!5w&XZ?ja=peiz@t3h z;L5>INXRvbo|EFb2>bH9Xrt7)KnCtSFR2h79`H0S)0)O@63?Z)Ma%hWl^Its5y-4R z{t*Xu(v~OuyRcmF3mxe-hXKwN)v&Q>O(6BQn;?V&M<-ws?47bZp7|ipK3oFzMdygK z<$F54$4}w-ZMSDXt0S(gN_f#w-M4&6LH05L+^oR6&t-q5;iY{MEZVnQT`vFma<@>sh zv?`GrRs2O4^bL}?y>6p1>1=A83ZMztML!$|rz&uFr9t2=h8J3htPhX|{5NoYgqXjQ z)5nW<`6b1BE6>;R8i#8xe!b+`-O;4_l_9q`HyFqg7lsIkqNQ3CH--YN%Duyu7W#}% zXtaxtbA$;3K~q~&K`(92D&S1woDt0MwGB)m8dx1J3?ypGKHLE805c0H22XU@q4Ksp z{K-U`3b46e<_hV3ht;)Ma($JF2g39M|wd zh6|G;f*#C_(dy^&1lSN9>2dQQ71$%p>AY!60Zwh|o&gA&{3I{9cS?Zd0F((_#!oG0 zqKoRn1C*tyZs!XX{k{<Ms-l=WQ(s2%<)cwJfm>4$k3Y4aEh{j*;8_GG z#N%MpxGt^?^Q=osg75M(+Bvt+TL7|DJ7pqKD_=@M&>WNRzxjz%g2-p%}Vg%p_ zDb1-c@KNPR25>syV)NVqupZZksEL+ z=_~Q(K{0_{@+RZDx`A$s#Fe(N;6PXII7FRxjyD09m9|f*Vuse?-vTet4M685N=JR2 zGddJ~7m#Fv?^4c_f~Vm}%O zjGy3p>jV_Z?db-sA%BD_U|?}w1AHbWiW2o%lyPOOKLklyq3?dCYa!aIj?K;y#8hTX zs~Y7;$9F|yogWGScY+bNqlL!lPmTTNGVrVh9boX5jwpR|x?wZp`#I}c*2*`qJPpT^ zwpbcx4bAMiEG`2hm$tsL2kSJv0QGN^9`Q63$E^?LsoVm^vE+D}H{FF+LgXgtH{3v0&0Yt6Zsb1Hd0nDa#u7YV6K+mE-_Qxa z|6td+?yc|2LhTX1pyi)XKce#h+^8P?6zZ+%UQFxS&@s#p6%=4TjFsjw(dSQXH==(S zp?wCm1HVY+RLhT8c$rm{r|+K}c4L|eZ@>MU_IB8mTLA+z#AonMU7;v1;n7BR^rz&{ zi`qQ@0BotIEbPo39qa^S%Mc#1vG7J5xHBQV0yZ2ARB5bAc5O0>q2f1bzp`j(HGun= zO5uBs>qBF#HER5&)dIv0C!A7$LjE1iP%>b+0RQtVz6qCO?yx=LVBI;)S7{4&gCk5z zhlX)P1N6MefBK%Tub|TUTm^v zz|27D@l{02;LyUc5610qz5oon9lz9K@9g5dnPh(F$24+>e%mOo158RX^qQKc)y3%s zGNZT4`)W(va0H8I=rn?@?=o z=8O3i$-tzYf40iY`~%eltaYYstO%E6wKAb8tbY2-E(q_M1g{!7!!47wNoOeUnQn-d zHJaL_0S2MOuAwZsR~9^s18Y_u#y)wjI_al04ByhN)F_>LS7-i? z)=C=G?{d(slz;f^WB>9HGi0;-3WQ3>4wfv{Am8%}#Mg}X10*v`9z1+>dYyL-n6}G(|47y8~^)M!^?vBxgMSPr;5~cuCwNl6R-TRlaqQ|=0prc{5;wuqDj)H(In#B52PCWwctS0PmgJdh1kr-#cEPxS z#pMW#l#Yu#C-%I^cP)9PGQBlXt{oMEaK{d!lZJ3ibz|#%%Rz7L_#xm1$$(41t`($Kl{XmmP7EIgKu84^t^*r@ z)&uiUsGz9)7Qc0tFg*is3c5fzvuG$ZShg!%2q934PZpu|Z~gGoA|!QhduhU$PPGC7 zgXRj_!WY3q%Gb948}KN0Y5`5SQDcGrpdO*@PD?X@+8me z?q|zNEx$}QT9tJt*#M7!XWV%r082o$zl0h`(POa}IGrhE(*JB(Igl@9eN%R|jlI=2 zjwZPf!5YU?IZA?O^w3S=afA{jzC2d2p)YkZ*6amK=_tE}j(yP6og{3^|4wFyvp`e8)yV zXReQ&b)-m)0dmoT(9z5|Z$U!yvFsvb_m+Mfn?Z4xJ)fWWZIoS}Z-r_YNaFby%p*Xs^Pp* zSH$3x8gGtVHob)V2508AS|X?LEkn5q8mC<1d`3=cXyP)vfRiT;wF0KaBDax+)vROi z)-Ik%>sUo<*H6kA7lNO%-qJR0nrNi{M25*9{nINyn$wRyxtY zTc2jiB<>kLjE4pm5?||$zZ&hP!}vemZq>MNmWb=nw}SFGA-#HR_(BU2(NY0x3i0vh zPdzkF`c7d`!VRwyRPnq5BiD$&vZK}0(2*(D*G-O)8v)c}9MB-qE7-QVGJ3qsa9xbi zSdJ%zONRVo?=e3#K|b4J*9mwUAgpZOOeO_hpqVjYY*9Zu?B{}zKef6bXO0Dj)!*M2 zftJ5*S#J@d+?P}g5E3aZzPos_4Kt>AYHEJd!ggaBcE1UfNeK$ZoC`gv(Z~n~mLW$V zp6qw92&GjgJ^r%oIEK^LU9Mom=`G zZ{80RZs!3FMV-z+MxDR;BW2_&#t!@SjNpU*)I=a$Hhj&$STdOC;1$J>*=ss-rGd*p z)~}r~%Us4AeoYo+lvq?`oF$_0(SPmueiX!vE1l5SDV_9EfC7_L=!X_Hb0s5$tlP)< zHOyt7Hqg*Tk~E89k3zAZ1uhI#90ubAioGcF$>I$>{1K-CVv--j*G>?)A*H+&a9}{b z843Z)fGBv3==TITvHR$fd~7?T~yKcQqMZjAQ5*A2PnU#8YC{Kl)*X3%MT=h9q;i~1fbZNX?j4Z5wt zL0(erX%Q64adz;)nOHF6=msJ>jRQ&z*Xk)24&N2mi*WBunuV@$&&AeY>)o z(!@z<_Ja+hSNt8FiC1qi6A=rBA`z*rkF4>Ae)2J*o1TwodLSOO>zTDmBqPTY4-g+^ zNQ}hhz40Q~NMvJWe&DfkF1wy(EMf^l_Sj})U+Q(SfW*2hLjAh(J=q4Jz;XpR1}=T6 z9C8INd`$sb&X>kbM|=oX+Kl~eRBxT(wEx?Vn6=j_Z01Fgj*sw)PqOLU3lgc2YYD|QQt|dsqf;V%pY%?fM7EP${OLJ zWB6}V_$(wvMkLQGE26Ow8b(=7ydjh73TzZ;93Xd22o7r#iEgx zp|l={_$G-N;+s9fJBCX4w69cqhe6^kRQ+o|P(V)dB+n1wJ4gM%!Fku_R|#p7mv2N} zIRFsuZ0!}njBjU}a8w&h#jFWyi>F?u0|4U-CeQXm!Hcf2JIF&JeajE!K8Ykk{RJMe zroPjY0xpR4aGauIgyHYNg@8CSetE-9ZJ*1d)hHZ0LKVXS#DJzzU%QfdDrKav>EPN4 z7L-4I9jmX&6p=F|7d_$xp%YVzAQc>)AN>%nw!A~paq8kQ*pu=(aH=BTf%7fL>A0zi zQ&*PuQ$sC$Eb3F^P{!@Cz`?g|=qxtI!{Ui7FPe1I|6r*{XyWeN5!hk zQ&Z(77?t|w$>~d)-6d|K}zslm-qzjm@N_; z;Jdsy97>&pKewv9f1<40vVX$63GHhevM6)Bk{W;Ucli_Ukl10I{T-N`Y9K?YD*NMr zAYeymZ*zbKwI^z&ryFPk=P`=A+m6AVbp6ImcZ1AytF5l%nfB7_=>=Wo?x8>HlQuB8jo4zPd6&!!CtFrTJ zr(2=V`Qc8Q>e37cI*nPs{Fl_NfdPi5Z#13DK*p?o@RPOG!~El?KNN^gAGFexO>5c$ zWPD7E`DI`xw-#P@NyIUefQF=Hg(I@r#m$EophU2cJ&gwxyh}xzIe2{E(hqi{v!K#v zZ|$z;z&d|YM$50~BS%(7a|8wvyg9L+75zj=JgVb}PM7g2&qI4T-uT_r3ld$p%++P1 zW8DE!D?=?_xXY5MnzH{5JGpZtnbb98b+lp7HiY8AeJOJG#|y&MD{W=F9m6E2?l01JwKF4(3Z@l;c*7c~=lgBbz=WXeo9`Bqy@U$1KCr_4w+KT&L@XoPg zr4P4CraU1<(Wr=Q%F96)t^3LBrg`igt(7()b`ck52I-z8naY=rY6BPhhk))Z>#cZ( z$D+NJ`RZ_%50LH8Yt>OmvGG+Zldxdb5Dbr;1gVE&>+fpRteu4!tpn9> zbEc4>)&0nG$%k9D3dr;#9`(@aN#(_)nfE_VUd=^01CQW`W3kZ^V2ETN-C3VaCHBVm zownf9KA12m8E7wfenwJSY;1J!J~Zs8<7LUHEcJCs{m7AB{aWtk4_o@uR*jbVfJzpH zlcE1^sBHFRQB{^lc8)))`2U;r<$H;D8Tlfk9p-0WR**3vAkiKZfRPsm7exPhj;}TVubJUoO zU3&)F5;LQ+PIK_MqfS~pSXB?3(rih1SJe$!9cm*(Y?NKLSG}%h(u}@0Ze{SbiOE*J zj%_%vvVteg?mIZ0^l|Z|F`*C8eK64bWxq`E0D3Sl7tG~^iASZrE323U*WgT{yjNyx z5pI|D@&?kPz6Crr4R4?KAJs$Qv{gWJGTw44im+v|ajUmI4hW*@wDz*g8#^akmHn~w zCd`|MsD}4aAlOpaR{^`x&s!IC@!CdU@(FB8ya)687LR*yHY%jUHOvHV35nTJWt^Tf zv_^33(9}@S(y|my^U+Y5;OTmMx-qUdW4A0GRP{TKwijS|*7mX4?DCu1*p1qYy}-U( z8sxK{tdB9yK$Vi?ZDhIuGZu)N(*2PxBiyDu=Lx3pVX^)!wlzI3%~9_g7D6&kOz2Ft zg-~~DUYZ7nGGOLoD4vf_v0=D;WLoBk75vG#vcXG-4kKV;Hw-Sd^8l}`L^StucXY?% z`94%$j@`$tB1R_K2tJZIfu^y@3Nz=(QR;1RDC#Xj(T37K<#?bYm7{(-{^w-78qgogLhE11Lc!AG)H)hq4tXA39dU@n>p8 zBl)sd)6C=O2tTqi1d+lEZ~Qqg__3%-a1ZJ~X-78zwh|Tw7>9rpWI#1Qt}I0XV=06t z(q_K(&;9WGN7YLO>R_7=U&WCk_J>UoUt>2wS!SXvaJC zy|(dQFXp>RhKyd`&!v1l7iGBf1HO;}Yj>y5#Q#J1Su#V%O9gG&0RQ6^Ur(4w7b!?EWY8r23eNV1AQ~{ut*grGnpNMR1K3=g@5*=G2mvz$?Uer zrm3cQ^mDbbcWu7!Ew}*-_u>|TKOnBiaioDIUtGpNzNR|x4GKSuz_h~~Ja9tEnqfKs zR!1u=;PI%+4;E8>9S2fcGE>;46#YHmC~r3VfbxTxtx5+6g=36>; z(owZI-$wTmzyZ(OCw(r1;yrcC*gouOhakEs1Mx(Wy=7LVSvd65EIT|{JkuX#%jiCU zAtrTbJR>X49z$Z@cGJhyaP`y`+It2E0;|rMpRwXlETer2V1bzGMB4%y>E>jVht4qmcpJ62e5FM+ zzmY{@W=KWY@bELU8bAEn2FbhGAJ2|2Vd>$_n4pM*yL&UMZC>A+d54hgbS%pAVqy$r z{#bwTOP>If#t#x;FW`DIE|c$EzWtkR@nJ;hV(%}NG#-=6tC_=uOk+~tNSZpBF)Ff! zEv*TLL#Gdn^qHi01yc~<_GS{A3I?8~d z(i?F-jAvC0Bx$CTdO9hiw3+o&jp6A*L5C3KswKXb?NE&42e@0aw1H0R%R{VLJ)KyO zB03tX#Ec52?Z#A~mA0X&LWE=r~TU2P~CmO0HlN^Y&NZ*{49h#pz*8pTVC-C*9&gyJKuIY01n? z8@Q5IAl+n*!-;8JY{U`J`ZoY!A)GdyaBZ@c$|tfm-?F8Tx0nX+MEfeg;CDFj>Gx9Q zB?_!fJdg5oCftXBC&M>w!^r`<2QAD8laZ0>JA?rT9(nw9KbHnw%0Tx0a01tH&$oYE z!u*umRROluPzY>DMU=v?fjuEs6gb5IR_*s78*$ZZsuxe0CLhmq50tyDS%FZ!yn1+; zRhg%2ncs_2F(N0X{}Lyp%#t{%Ye1C*4iJ*uo;h@a&~7t>9U>`ZfsOq6?6+_>)ISdx{Y;`_K2tm8SvFDAC_>DpERWq z_=GMk9pmteWPd?0VQ*b=FzmoSm;|vCB9JPlVSK9{zNiAZHo~6h%(7`Pl8#P7D@*9F zrX%|;?`=b+8^TR)OgesJZHDa$@qCx^gk*UCPR3*lH6YBS%HHU|!x7tjoP`d&FYncg zB%OlKPMjvxjNVG3i)?y)$ca<9@KG~e%O3X;vy7CwQ%xp{Hh~}mPl70XwzxZR-Jv~H za$pS8sxVK!P-^XQa);LgONvk!j6%zj&6C@5F6^5N3HqP`uZO;eE7&}pCHIPwLj>Gh zU30UCty_c3kN$YgvE#!b#)+vcX{=MvYiNntE|vA!kwRxb^#^eC4>aUJ06?pC;A&k) zl3h+#4s2LeLJYJq-J&MDcAyj54lAV-d!cZEt`%-mg4je9vg1_xY@`0iKYsNJekWxw z5gFsf7+x`XVcrfcW(^`!=mgJf3vv-Rdh`!9Adx!YBT=>TY6Bu}`N2?5>H=MAy~_~| zsNXDb10p_nyYfjeN=hnzeK_W4+?h|Rou{IcgT<&2uJ=@gk7zSWhr4)20pm4f`W2RT zgUhJC+zvh52`*JZ!xigD=M>xRQfX-c!Kvljr%_H(NEt;&NwJc_&3v8(Q)CEg8>PC_ zZ&BZs+j8PoUq`ONGsq>R6Qk^jz&AQdVKc-RenGccVcL=Uk(=nRdDSgrdzm zeD=&@SLzjPz{l#Z2S!SM=N$1Dw0u$2gv@0l1 zHUl3*O@&2%fX%c%2*}8*>+(|OTT|7MLkpJUvf1#AS{swpGVrjb;k)_y#uKGt?)7PIkas-NM!%||V*lV|F|kLJNIY_fnGip`IWAxyUK zwW*#yw*Fmz@ak0!4;Wfrp9-gF5Aw@SejJLrF|nPW{$7%kRqZqYiA7{FVGfU`^RM^AGta73@iA(Z6xg zo>U(9Ur(QPR)5mp>fg@!_-p6fe?5H$j{9Cp!9P*Nym#gw@=xopk`Z|=ijyRF*7>4#c!5qEZ#Lec>t1rsFI zLInVNV^%BSVRY#8#5X=l;Kmt`Vwn~@;SID?{FcYE*h9(}JO(Gpd}g;CGmFOJ&4b8r z1%PV?GL7Omw9-++_g`qiAQA$?FiL&T;s^y5{5R%vF7tC~kGl$P5BMsNOr|W0K~FK! z^!hK?NnG|Ls!{~r34`AEnKs9f83jz7B#fz}ykHXYljnxh)%N5PBz9w$*)GR;xp4?? zD-P==DTdGFwot*5Q5-}mm@h}Ev3Sal&7N)uXeg!9gi+)}ES|)sLAVl%smEYQf`ONU z2Xl(*8;iM&*;7&;rV5<_tpEEjs~`{UI&;Y9kMwgtyq6qo7H&c6cYVObXO_gx{?Tuq zO1s=Or;@K-$e?Z!kpn=28+guW(|v=NKmTF=nJ=FSXIoip3X6T6#fONBayhf7grvf| zVpSaZBS6aq56-)WOhLT!FGZB%J=3E#!$n@p`9ls>P>xn$i31|ePXQ8d>i0$eTwav} zz6~-&$mAP3^xpPJ#v+GK%(Qrhmit`4Ca221bwkUU_Fu!5sc{gTh6hc+5YUoI!c#}FXX#5m7YQjJ`O8a-xs!}^UhfCOo z$pMSqz=-HAg5#R02JFZBl+!6Om*^MFW*YB`pO2g2ysZZ&(3=-0;Nk#V0`u{fGlTQg zXA$?ATtrQ!Rb^WiM|GUM%wO{z#};$T(IUpY1ycEC8T_$HBD0B=x zU;3%0nB}JGX4WSh>l4o0WfJ;4d2qJ0kR3QKw=zZuw;wxu-({=Hh>wAQOjCqot;97& zlFjlDWDYFy@yvd#%A)^pDrRE-SZv?f4<>-BpuF&k6li!d>53~1-vimw>}mrD zV4AaaLr30e#S!2g2H&t0_ve(6C*^}fgiY%BB(m1Dz8*Fx@xCfba3y~vCwH#aSZ+>b zUo3rO)KD=yDV9!pAr}rgoE20Jm$`eYs*$NX65Z?@D=_RFG2MP7w{)f?5G9AQ8r{#- z#5O-tD}^Z-eoD=fxr5hzUTRua>BF+q)Qnqr z7^@1uoN2VwrH0rd-$e2qT~KE}vmePKoV&HD5w`TrTCIZWM$-fEBbf!0lQI9+k>R(j zOspz1`FMXsslRZ{Q_HFO*?JeuhDMb)@F6Hal9{(GZlH=g|1_E^!66UJ??d_i<-8US zk;+t9X!2I`_vO=BBdAV%G0!wp&2et7aIaIoiB8jsTiCg2c9ZS2`1DieQJT&xC3_EF znc}sa<`x$M!NcI-WflmX-Aqt6;g4j7pxP1^KW&w}wmb}YO4s(;BFmX}wI$6y^FJlW zc;UplUcHr4sm6mvsa@~7gH1Z&Cv+*t+Bx6?w0%6~rOytP5XihZ6H3PSNt_x$f* znV0`;dA(&)Z@pQT87!LV`3&4;(of7ljLe3wy|+dEp}AB3qhE}JBRiCY_nw4^M23T7 zprV$AAu+b!4b=+uukSzl;J=F4w$Z`NKC4KhCG~H3uS*Aa`$Aeg^OW=+!Bdbfy$Jo} zPR$h4ol49!+^0%4^1B|Pp0Tv*8El^Y)OuHZe61Bktd;f!$=s~~3` zQV9fRCS{bE^&6-v+x(rqFRL?9A8?7qmyaS7Pyvs$j9>G-F6jtg(gH_EMeq?L``wWV zBQLZ=58GbhO~focstD;+zq=i9-j^_X0sR7A{k*&^!&jvuh}+UlULOv&MAK6@ZSwqs zeLCj#EXypL=NOY=-T*pZa(lLgGF$@ljiksWfSE3eOAhD@WVlkj6f(&qlj=e$1ny^w zn4)y)B$m+@zp?xL#BKVHT6eWSl5}1($^i?&jgnw277FFMe}dNu$1Ku1JpedU6>*gO z9Sl3h%Y-YZv+h+*TOFt=c-gUlX6sN}AV8pMu1>Sx7j;)Y!KHM|;qBuq*BD*{Asm$e z63(GK9iHg{@`5qFA-VB3mY>6DOont;C~ysAk3PXsdp)p5B6v7>P`$I$PjK;TNbvkyE2AD^!_pYhs0<4}FR7V;j8N#xFFwE?t zAT>SqG?svMPh~maL9C!r2c$2#Ts;-HWhF*+34nLOAxEp9qCphKB;kg}m9uJ`6rq>S z7@u+9Fgn(dhLcZ4Y<^M~Ky08zs8;PV))l1E5zU4i;Q*VW2U*-y4|y(lv#%cTG~g#0 zZTOg>a1{aez>YzS3OoT$;k8H_xPegPY>Kc zuBdul?f>-0FSr3uuT@{~TD((_YBlTXUi05EOAlsKB4h$EO%OfaS$3j;6lF-4~2F(7S4ccL9413^yk z88TWDhbmm16SLPV`$J-^j4s4kM0Tkpk2rZcCC91dU6I$L`=pmJ7GE@_&K&K}t$c}1 zhf9u9^r*8%B9>NnClT>UHC%Zmk}mZH5J^jTlZ23pRpm}D1yxwOmqZGkNJ&gy%gV14 z1c6iEreP!?NIL!G8ZPeMW-SmN>@gTOOC%x@J>x^IynBKD9V&@bBw|Oq{)x=!%BrYo z{Wt~`4U1$Vk{BZV_T)U}Er1Nhs>GqsOrDcWYRCvx(dZx?sM=&c6-Hp-74$&1C|fXV z0UB0;n*p(oWjsLua22t(#{&0<_%byHhceje}S{7KkvN+*ir9 z|GS5X~Q5b6xnH4?`RNGTIlICuY`ABe7k5%!!G>TweO@iSlsKK-uCRB=t-b|7x z6C5%v5{)9VNI2J4d@L0UwjXAI7Yq!MM7x6v5^~caa#(12Ih5U_7ULIJEs$z~n4f!1 zS97#kf?+HIGSmIc^iB7tj@PXmhVZdu37NhDO-7DaQW86GJlfzx8dtU;rt_T=lGze? zS}0_{cHQ-Q1q!h9i9llgqbVAz7GqU8qtbS~?3(!y; zKuFg2wow1dhd@i>H(_l(GN7Cr$xg|)Y9xN%6!4|uYfJt|K7t#qNbiB+MDnzovNJ$R zJ4A6n&^qrohn(?3fo=|`6Z%~LRNugRS3)MF9JozIHwI#Mup^Y-iYJ}8Cl#7Q*emLX z`rMJCB}UOw4F6P^g5c6t|K%7mnZRnp2h2*;jA*B!b%F@}yS(9{6PYj1D~32;iPOT8HAa`ZWVRfrCr^z^C9k z6JWiS!r;SdZ+Eb#I~@&YzvSyzyt^mXd-tx7ztTV96d&_ZGIESinh6N zra?%bYVD!CvJ6hl9K-*k-shwwqe(1|~C8sWb z57Kd3Xz0^Ub-MqUytd_m{7eUA)uI6~lXZS<9^rJpEAr~)QEMb*J<{v47~6nE>wsg{ zaMsfI|MC<9WPtW7o(d*?#C;!M?K$~@){z6BkFuCOpMr_z2C*q75w2(`FC8}es_Y~w}9`6{la@jj>A$I;^d;D9bI0rTn>>V zX^zedpONNGf71?!L!olztxlC4;(VZqpAkRi?{>q&_`Ma?2%VwWn=e*X!4y&V-B6s!rp&t;lZk|peoWU`sQuPPlQvuu*Ju^r z`lTPr+RR5><~HH8@D#exfQ92+FnM%$DG*hD%F#Q{FW^J#<3)*F*FKX8`xK9xSAogsy-uP9~~+9?6e zevpQ7`tYsmJ>saHJ(Hdi1dnt;i6njeHVPjz564@xJTdK#A2`zFZAj~K#Kq_Ggl~iF z5x~arx&S5cy+_b4(PBi4!KPF=pI%JMVh}$s7`ue_w@_@p>fQBhQ8n~Pe82U8ZJC0kU|14(8aw0}v^;7Fte#ix*A)$(=QD)?prf=}N zV|mJ#tEL63q4Le~KjOr}-0OYiaii|R7Ku^^LB^D5_H6%5s&M{rw@j5eSm-F#TNQ8}Mld$uqUUtvTd4 z4e7=&cH&okF8X#Xt*)zCZ0EjgfBLuo_MiT@|AGAmVOBJ8sr95te^K}M7TpbmH~MmtSF#4gZzLEhZ}5r_j0z>piCI_HVZdikNL0zediflsskwUfC3 zWXDsf&;Za#N@&ZYv6zAhBmx@=Kd0G$MPvR0@!xYoIF4jYVB%-EkxZ4AOzd;8sQ7N= zJ508N;Y}YUl1A_YJhGt3`UoOV(s+>%$^*=C>tE50!C{#-N7!{8?a)O{C%Z!L{bc>q z(UQ;j3fhYo!m7amp8vH&vd?^)zulFW3a|z94IZ2HP>_IY0vmV@N86T>2$ZZJ(PDOf zAsKyZU;NmclBLfk^Zb~T@tGwP$j6cCSf#{sUI+K`4epsXy&va{I7%iGpIBa!+7;kE zp_7;$xsgb@)`M|@sqV-T&$e=LNvGuxANZAGp4|7Sl|pUiam?BEPgD{3wh(7E7r2cD=P=!NnF7Kuus3TBS!@~y}WD7yJMRJ zST(;b!SXsLi8M0j#~yg~j&HphF4clLX6O3FcBL5en=GN8aQzW)6_;zYYSy&F)wdU# zZz@GXsj4SS9l&ALmm84bj<9xj_m(E<$&{~nH`{nIn(3k6dJUEQ$rhjrDkcFs(h%iOO; zyWY*y9pS$~Wp$?JHf)RB1qhiV8HE>8(YB+VNUmvU#iXsn*Vot@s`mvS_XT|v4zo28+ zVDt#bm9h)YIR_idvpiOMnl?q=;qI?5oQ@GGXl{a&P+U(p2#!&lN#_QrXb4YfI%RUw zk%7_V*-Hnr<1mzc-U4W@L3kXkKhQ;|1BuBgZuYGi=!gtYAEqpSFGjuBy>*Vr}`@cZX4v^Pu1W{v`!BXkrF7_dpOgA=0fNL@atzN z!~LA>l?5mgL7%=mP)db^b0C}ZBJFke@n_|d!d?ZR1HeJL&%K?V3U zm4U=vl=WV&V>dZ&fvfT$S5Kd+gilF)Q%i#uZyks;_?$8%bey0gIyJhzK^QJZGu16W z^W8bxP5ln742=FUtuT5LU#*S}liu5meL!YQaj^xV^)beE<5Ayy*QU!ex5w@4dD%;|G+X2wbqqX zGW}UA2)A+uiuhi%;kuvxe{8OHY42$7q~XS=w?Dt`9kxX|WzrersT|I%f&shJwI)R9 za3M5*(vYPnD&FIU6_3r$k$!V>I(^@UFH#mcjFiDteGGTn0}!gmS&cs<$VL*w{%ZeC28V8Lc@!m_#oN8;tg z%&5mm8cX;SXV*5D6Rc9Xa_d+Vptk+&)2d%e7BrLa8az}xOn5Sv^D~|iDZ3jT<@e48 z2zSi$N56b&Cc=tQjHh8*GM@_CLT?pdW-vmyrg%J{6d2A-Kl=H(6+ilf>snZJ#SNFX z^N3~vc@YfNo0ItVU$K*r{)toh=a*?{`3_#_=|G30Y7ZC)c2A_;4<)7n)PZ9~347x| zE(?dayd}HEj}yqw0_yHAL?IR+;|#y~YYOD*nh&;M6`E^Ep&^cR`KcUB4bd2>yv#h% znR7kjgheBVIs5pq->aA=7|)3Ryt}3z6+~0@V~4o{{WuPwU>?Q0D8bZz!Ltfpx+oXf zaI8YMreGFbyw(O(b5amLQvx_17yD9fxo&gX_(P z?4Z1FTFVU{qfi3F6;zvG=G=echInkM>MIGQkA5~!!WX{|9;6$9{lMd)XK3Y>R3sjz z&Y@;Sp}UgT$Mi^nvPZJHxj?ut&tB4V{}qV@$tWGImExt$J#TCc`ZY|xyfr-kk@hOI z1|9^`PwERwN$n=NQwREA+JsMp;y1O7};Z#N-=!u6z`L|f>L^_4gSL~1viod!V07O)eiV#CUv4P_TzhmBLOB@ zg5QL`Anhb172o3{Y5dg|&uZ6+<1kC_(T&tO#^kG~yyRNViP9wY7U)JSum+@5 z*@0pJjw6t^Pv}Oe7F#0N06kh@l-w*#mdHlyMPvW&jH=^$*%H}k%%o|nBCkR1SV}(Z z%uCBj6i03f3JNWjz1Vi_fbTnD>?P?PA`*-B`T0U8INIJf!*-hscw42Ac|y?4WXU}) zlIr5VZRj9gaVU>!3(6!312?~N8egj|lje4@+{@(m%0<*1sPmIqv;r9zLxLa}QI1q&ezT$qZ0rC^30 z5%CNWOvM`ewT@W;p~;as%t8fS%`*PFOw6w<6+1bz!*}$6xUPjjGzmy}z(xYq@-e6& z$(Ay7RKcZAA#Ug%fcY>A&bJomC86RoV#nf{Tsq20easd>9IHqKhD0_>2ywKIzRnbR zTk0((Xyj=TPUOIU1$NLIo;?}p^6q4OTBnay(U)6Yr6Y$E;a*e`NTtD@RA5N4tGbh) zv=ciGoHV?XpoOw68HYPwbZ8`w?;;bLGVv(07;7B2Fy<4PGRY_tsXk@&8ejJeOT?x` z>TqzTiXRdPd&XbM1^0%BTN>TTWm--eprREL?w%^@iA3V12<;jIaHa!?(sCVK`b*!SyzUSMit=jk&I=>`m1)=eh4K0)A#5<2sr6M0@awemB6k;vN0u z2nqI!#=E?sKNSKvJLedXs+iX!NamT$)3U-OdJJD{Zmbg?uEmGg4Vne`zYFF}9#h&O$p z?fb9|vJf7h^f{eKV;6o92u4fr77zjT0DcvZ4BJj$2K0aa2K49n{W0?+MAiggEwF5| z7g{(Am+f{ad*{&OA);0f`cBu){>*28ZDxP9jC##xKA!W1n9faY2{AorHvvinz6u+o zI|=Q!yj;p+e9$&f{DHVgT}P_~V8Yv{f{qec9of0!T=w07u!a)R-Ns*NP}~;>kxi{y z_ruv1Z;b+Qe1PygHgq7dx9xj?xR&e1J`~MLCQnFbGOr+z?c> ztC`NJ#m0w$)yXjnUW!y`TsSCrJbuRKV2rPA1l_=Q30=;YUInxNAZq%+tU*Xr@m;tA zh|{Gc^NfD*qx;J(8&VmmO!7sz+LGygOQvfrN&D=!xi!7Q4Y<$@rOCOH@V<=CHluP< zRm{s@+sf0D|5Si|d-eRU0?eKYyl{bhg&Mvu&l(09uAT?D<*D2ehe!s6BGtn70H;pzbr30z~6fKUi{hT^4O~ zaZcq~N-6bzwgC@tnXqXoY7i#I@!tp^`~2Y+k%h){QGjFUlm$OKYRi1+)fei6^T5XJ zCycvKZN|*r9^T>Enk<95e6PFh=}JW}+h$9ryF>q8mo%nn2GT61Q#NwV$%vbMpo_7Z z=`+gz&%gNURR>B}xPjKpc~%$g$gHg?3zR?D^3(Ikx3Ku)Mqkk6#c^}_6`gzcMMHA{ zuSyIGkvm1bgHtR(9?BQ~U;r>Um>@cfQ4#Sf(Dr1RI`0~Go^H-`G%PoG9R7xy=ulYR z#sT669e+7|m5Mshkm)|-Lo?gr325RrnNuIi8oZQLD-i2~nEV_2T`a(0f0V4 z>x10q?(c;rRh=!)wiQkKW|824XfA|Z;u$0da0TvB@cnS8o9|nDxcL61zdov*=LCJ# zqfegl3&Z_2Gy~^7{R_x~>0fBT(@ZXD<@m*9l8{L=(0&D|KLnH4%`YUI^!x0RWq)VR zyKjHHw!0_V!FKugs~hhx@A5OH-QmEIZ+6Y_E~izudHS9+@_v!E@Es-&&TR%`I?%NL zo-+vU*0evDez_s1O#;_@G7T;a@A0zUOWv`=0+6QL<$8D6V3C8{`Juv!UN(S7|DKd@ zVHLHx{f_SrG4v1lrUA|jrt$moTms_>yBIoRnbEUD>|#U2P5A81_Hzu*DK zM14Zn_Y29Wr{1S+*80DG@ah$ZHEo(}rSSC-da~#Ozg1-q(YeXS%FgAd~ z0ix9xq%s#Be0<=8Xj5A%M**XNwXQkxz7V!+{Y8K~i?jLFaVMs}qBEk#JiwDg1CO=ulc&>^1XLQoGeu z=sjHSa=yWwplmsSa6IQ+0l|in|F1uK^{T?bpaq)nfg1b6g0YNYMR5Y**Ol=vgP*6r zT?*^F|L(ir|Lz|+xZ%p}vZ3>NL%R?n2y;4_0Dhb=`-SCXK`N!-E8sH<>`409`tHB~ z`LBQX_nb}9=M2f)AMu+%eehFzv+Xr5heX!+3%yeS1I~F3{NN4+lVO_qeD??6{hp{j z<(CUz&Yg2-b2^O5BhF!=Ty=S`-Q`W4f9L1_-gm#RA;!wXSsKLIb)|No=TII1LD4|z zZWWzU%lw|OX{PhLzx(rlU+F9^U0DHqj}-3k2ek(OoVBy-eNK_T`+K8$X=_&AU!=?& zZmymMpXt1=X`5E*`h)NOj?yJ@L%I_1C&yFE3LmfB(C`Pc`OIUk_4S z+`vN(zxnwR__a>OXO`#>e*SAT8l}-tA{mS)`t>lD$&)~_m-}`s+h6|@HwFC^O|~Hp z{v9gzRGt7mh?m|-$YtWtbECPJLZ;?!7%c>VJ&t6# zsyF)7$=o2GaVoi5?%sdESGY8B=z6K)a^Q`5trIZ`_!Q*4*f$&x^ka0WIOg%N50^*d z$(*DTH%?6FgTT{L^EZ9PBgEWNu@}=3YkZj>%eO6S`aj%&0iJR|(7mcw;KWg~U}Dma z5#ci~7-6RJ3%$&p`5pLU8R@Xmm$)pj6>s76svl>WAI@A4{4qmX0Jiy|vB4lYb{B?+ z>&G~`j1T&;mRRAK3K?N81D|RZ%$yFU!MN@|AjHhbE{bP_Ow(vwZxT=gPFsE zAHO^vwLeB2Bs2kV8W7lVTa`3g8;_~*I3;Q1y4H{X5=iL~Y@|4f^&gDoB2g~8vgKD6 zdvgOq9A+whrD=U&-sYU_Xr9z9BWHA0kRY~npVL|B20R+x)Wy6Js$hXJD}Y#2;~9sn zyn;b2M_>r{@bw-+cNQe6<2&N+-R=tIiSJamx+e4Oz)yZ1&`)Y=BV3j*l>{lx@+5Nt z2Ykcbv8i^Qh=Vi^Q9-oud>~s+il{)x9O}<|O;nuJbwU-wfMtbF5iOh-&IksgmZPcI z$szn|pU7;wIk7_GP)htTAtjy@Nu9vE$ga*HCR8`?Wp`4))&=m8zOn^1HNSO72?PyH zoi%N{Iq9S&&B=lN)E#Yk*J4}iI2?{JHW2rzibSonA|E)kHNcS;HZ5WyXlcTA9di*f zyJb}t>|zWH7!9{edd#uF6de|f0;s~X-g;N;X`=w`ZS4e_F5T1-IhiAV=4E|C z+feToH=wYo#I{;p_=9r(qT`vRc{imH@)E8k+)2|NdFRcc!nG^&l@ z+azo161?-VIzEE5!-d~CG4epe+CurE7JHUDvjn;;E!HcVQis+r%D&uAZty$~%>JK- zbZQG$rJ*6ivm&jMaI=Do?RMVPU5;z!Yq8lNhHoj2VDAvHHaPf5j+Y~?NuAR(C9ni; z;^E1^mjzM`ZR+R3rbIg~KA;m<=hJK!_}RTOV5H)H73M`T>k{;c9For4Z8K2QME1LZ z7K@pD00wyBj2qyt4=qL$Y9cZPvO>%3y$S%F0_td6BGBjDV5|ecpuX9sHounrhuOrT zrTkt;39$Th(myX} z7TFYQ%3_eCYiMzB;GU_=x?+7?8v`-4O>ZqjVFI6twqW!EJZ;hrb-!rLrw5G!L`vnr zdMXw8%5&;dC-9wePerAfzB*Z^k)A%MBm?FJ?nc-;*em4uX&aS}Wf0S^Y@GAZLoE*v zvSinl0!Sl-X{N$^+UJ^ZT=so?JTI7fJYb!Y71Y2g99lbX&l-Eho=<9X;AiW~d?$#R zwm}&&^WipMy}fu{M*#E>%BBz^`mWxx1rFxGKiqSo8!2oAuT zy(wE7iFB%1)fPE)0@w~cWB-vsb-y_+W-my?U zV-K$@O~4(H0}WEeJYLyJ65elclAEot_g0&`sudK;8$d2?iY<*)8+bTC_q{k(vG4h+ zp`biDY?lr`K>w$M0U1De*XcQYl)dk)Sg?!I81US{D2Gc_8rc414ADmkSyCH*!WStr zHKr3}ns_2c_BSPtLnrfXEY&7(9DQ2l2$)wI0(Yh%oP-ew%D<$UltQ19=)=gNaYsj= zCnn*xXj+fw^E5R?8FnR&NIq5AOk`fp^1sl^nr~?SWwUZ*BFb^kE483cXIebt%QRDR z9LG*g=s8C5@Yzh%4`#BFh)F9@b0l2(cr{YqbEv=g!@&o=e1(l9IQ zH$Qy!su_Af>g$Rd0es;S)4)uW_tvW}7nLF#V64NS3!#$=s<35J3 zod^hBX#!teUY@duzUFW687;8zdIpjh9VP&|53gRt>v{AYFpB9rfcCm6j&84MMo@Yu z0WPz}Q-r>uH7iDXk5R=E7ZAqa52Nprl%_g=Ek%GOX|LuQvL_xlkJ$nM~$RL4DGhKLV5Lqb#ZJ`Gmxy51l_II7ifVz@5B04tG zT;I`RAb1?iaAW72P1EuW02Yucw-90GlAd}TRai6Yyc1NbIw}(<#mpO z7YC@9!&#V8XJTByYNdd5Xal^2ji>c($)N3IfRec>YODVj%KYM)RUc@h~@&pTtIc+i@lwNOBvOFl+pBvq{CT+ zrrc&AV$H-n6AqD~err)7N@i~HQXrZ}i+aYG;`L0yM2=>A>IWd5TwfgYS-Q+7exXvP zU^dG}4XzhT#^I6g=!}iw544TS*)*Mcui&Izz9(ZtH5prAKup-N7ytI#-_3RP?}y$} z(qBkETe_uSa3}Z$gPq@FjGC(4^$b^?I!`#xuhXH$7a z(X^!A7hiw!jSb(I0-pYG{Jxnz=Xq;d!}XQ@lN9=E3ZoZ_**B+KW9wQ5YvS>jmgj$Y z_39N+(PXE)NBJ?pp7f?%SWi3+w#tA7DIqDXy)^Tmy?+1t`Oc zJ)Vm$r?f?7!XNn|E`G?`N}MgbENrau(6n~Zzc0XnQ5JoU`{w|rAswjbfW&B$e1&)@ z&)@#6hLO%UHe>*1V4`c<+&aTQh^%?|i;)DUpc5#7e%{d+%>)O_cSSgQ6b?eMM`Rz^ zRuyeQbOd|TJ;)TQwp&K`ITg6}`Py*CSz>_Z3ZaN3{7;qOOTN4+-s8-5k_kZa0U)WK z${mV`c%x&pqk~z;F*$P`0{XHWuuRJUC2_p%H@Gzgb{;4TnT<)gjrGliVUzGl*{V@Q zLXl=r`dXYY78!9NI|x~S`3H)LmHnzrL|6|kcYaWT6pX@wtEKB!A@AF7AopN-`m{&= zy`z(7-Ov#yNFMRBls$TYBfv1W@NNq;tdQCE>~sD{zk2IF-~tNtt(=TZc^XwhwPr=i7rL`g z-~La1UsOtC$T@q^7y(`U!Fu~+yn;L5y!_xz=fkJ6xN>kluKlRh9#&q#C-zgCn7hIP z*@GhwR9N83tz6J?{0|=jJ6tYTKv7OjUz8ELEOb394jkV(B6tzv+QngMoYyo&NCrGXVkPKX=N7ASWr()3uI3wWq7HTrqW;bL@DG#qHM zNkwSI2()aQ4IohQWb{tmvf4d9Q;g%xBZA7glWR;oX^AXao)EB1hpX+-vNM;a>AC?x z_?YLFT1>&)@npYaub_Lvz;j9MjD zoH?n}=bJ&MqS0SnacTzRfx>O^DMA0`U2X!Xy*A}R5Owob)=IH-@+Yc0Mc0y5nL(1S(_R4 zf)dw}>%MT(5Ln>lgl`dz;4|a7-VdYsh>Sv|#;i?fC14$$Ub|=QJDV4=me-z5kdG`} zSj0}=W9r*=W8;~r=+F*Txj{>sgBdteU=bT#fuJL{k`yoI7f?ksHem7Y$6^l@yKRFS zer4bFl~S5bN)zk1e(BY#r=}Xth5eQ`xo#*N{+E|Srb~q1U&mf0&4uxE6>=_3theHd z3#Q!Zk{0({)1`8j+5hl&oEZOrm+E9=2IXixAPIKxkSf}k3as6|I+dK zUpkEeh>|w74ZP=e@QL0qBKD~O_#d9kSy_midL>T__>ni@ceMOh{51`V@p_lO26Q5> zI@$Au|0tgdKAM3RfGh}68at^e^~e9tf4#{!H(TD<@o_K`h;Hrx<0*29_#KvD zlRNW%P1`ygK5&{X>}G@bMqp1j{0vP~n4A3nhXP!k%u#Gc4oou|!qiq+tnj6~`duF7m>!q0G46So9`l`jzKILZJFG}#SJPjY;sewOTP!~TxZGq+ zRy)}!z_}V{EtdXse%>@#oS3PU#=#+{9qTQK9`%+%UEZCWh88`|;|xl@fn&639ks<^ zgcRcv;T3e;ZO~1lizD2(zx^L+TGKzc(Q%4$zo+v<99jR*_eGjB(ZHmSUId)*71kUk zoADCG0}~}df-aNSve+N#azOeLkhz%|{5I($m|^1Q*>Z5@Z7Q4Ca>B<+wLGeKt`RPp0ze?u39Gi>rXh`h~vUK{_=YK&@ zjEUCK+3PgGcRKH%=!6#qkF?POJ4F5sEkO`zn=@6_(TK406*UL_n+8r4J^G%t5mREv z{+U?#KNLBi_n^h&L@ba1C5R3~a9|mBCCwfxPuC%9$y5^3!3YFo2!~siFr;yW1frEW zv*DI=1*b#G!?E8)z2sa9mMxkN|2+r3tp>69kq zX2=Y!r}o?bkGps2l_ks0!!El?iVltpO+4@*;Ba@{3*I^%??)Me0UPkZ6GMOphG#o7 zBQxVer+hL(Y3W!j|iC_Y7c+I1g5 z^Hm^@x9Bj+s6{fiDvK-xVydp~?M@xk9)9Q!V*4sixA| zo>cJ-T|Ctr8dBO{c876_M7)&Zn~+6jo>le-T;2O4NbOoUvxphQR4%?@v_z`zFiZB2 zU)x?uoEf>4#j|9Vz!CTe04t5sOzG&V0CAiyiY?r+*uzH^({7{=WO-8CfVR`3yeoQJ zPr#<9EwNQ}-6_n=D$>zaCQ5kSQa2=Kwo)p(apS_)ax}*}mpURXR%>z-MAoVSCNX1V zl>G@hdeJsiF|H;JRm%GX2~REBCG5Mrg*|WrAdKHK{EH<+|I*AZjxe07)iYV(4Fz`R{z;b3aS{gik^*iC#J5VHENC;klt4q;zV~4W80z4F=Dp1Bo4_ zjqR6VJUzHFrdjg>JgqD6aF_$aOWf33N}3VFX^y#zlRaeWw+!}J#`M-_p_fKLf0_$i za>IdRZ+g_DeT-`tT^wMpmtKm~ryhV_(Jg4}c=*R6%ky5rEK$LaoJGMP?Jh+v4{C-j z7DdG9CK>B6F{-vLb+7qBbRp{h{Ja#aaoA`lr=FsQT+t_}^FvZjPIQFZ4ALXr9|Ql( zH;zTnXchxE^8a1!GLEGXzP%`h4l)rnofnxXeAAH)p@aD8VnT$jPsiX?%!I)(6^_Jl zqWg3VQj=+(k7^nji33!T*!ZB2~ZguISpD_+n+Q=vNI6oE)dMR_4K3VIhvOi#?BS1{TxqW%+SCY zLZC6?B=zsF4Kb9XjySp%ToA#u*XpPx`z4H!`x^TnC~R~->Z`(jc{skZUv}$P_V8iX zz0&YQcLm-_)Vgn!-L-FiSSoh~jcYA#)O&Tbd~F^I98sr5Y$wpt97s5+6fOeP?L%Go z-2iMTZ!U7ZYj+*h16^6;e=GHv^^81ipXycHS%I;+4K91h4A%>YU5#qeTHEW6K@%qP>W83qNA-qQ_Nizc?GSw^^P&P0(9R0QQmDgyya|+- zZIA$I=-|oC&}F2&=vc(pg7@`#)^osw19Dt{nsnk1Q!Vf7a%=DN>H)7MmmL~8;!tXW zmSS+$9DvtF>K>d>@La_3ZLjUo5975#PgBPex8=TW%FR>N9P@p)?)>4YqdfJL#byJ2 z{IWM=M;v>dvLJ<{shOmyIWTA*qFTxlAEY{efP{z<7Q4bDz4L{uAgdMua5V2 z;77&3?TTSZiyH_jC=vju;8a0cg_TIvj8n9Sr?72N<#5Ou&#<}zJ?89*`(0Ow&iib~ zU7-Hi>v-(FABHNHY^vXtMcsAFE=;9~{)*XI{nLg@G2ay01-UnhrE!lX&9d2oyh+Eo3=XvXpd`17 zk@z}sgv_t7bM~xn;Bl?3|EIFP+Z1=s8qZxhT+%Rw5XxpBlxm9uOzyjaZWxc>e*8Av z1iWkh;_OxKUMq|$#^H3ArA-YHC)IU$_1{diy0-QgM8Jb5)Z-7|1^WIjiZuRGCmFUuXGB?8({+Z7O-;C2RU$K&smPP@Q9#W6Uw6m2I{j(#Y?iXcO~`Nf%J%J8D{u(OELjdf3B=>?73-KQx_fu9_u&C z#&GE_i>6&>A_x3u3yQB7G@Wk}d3t1+q{f*>S9rrzCedjDY~Q<;HB%%dBvjbc?d zGM~ksr_MdCb-cZHYBrC}S_yF+D2@dU20tIaZy%cecw~w3uucZ~-ctUDTSoPt zbkM8-V{X*L{`jqCXHfHph3;{9$PXY~Lom{UIn;MRd7st&a}ZDK`hD7?=|8*X@mp2C z%}ETc_*<;_qbg~+FP9@j9oY@7;it<7-Vl$Y#y@ZljGxVgYb$x)1HKI&BE8_baZJ!` zkMuvQ>?U93>opnx{59?h6Cea92Iflm!AbxFd5ut;^`3gtUKF_8v1Azz1^QQpiy2DB z;o6_S^NYJ$*5cDsndC}~=5rb&6n*A`W{YwfQ$>>?W}XiE>`e;#cRw$??r7nRZ+sUf zw)l!Eb$t9>8ojbK^qpx;HsTh?SJOn>?UKp6Vt7M?{L*v1r20t|T#6d)mM)v1lX&(3D{sMxc?%9>_*E@sOl^{IRdoHijS)@ee)MM#xqj+` zc3>&(!n*6-P#Y6(YADRuP#DJ(^KOP<@C#wDf9%Bz^I~fJhS^yg|JYx0HjTP(bR%+DPHNNoiQ3$N|-$r5~th{G8b5xIUP& zxwp{blpL!TBXdY{@BrI>p@-tfKzuQ(5nZM2$b zzq>Y=q|{iann&iTE+A<)v4yKrzr#C4#?zC&3nnFn2vKw+?qM3D%rdWp9>W5~(occu zu;CA2H{67grC*Ej%;WQfj<{?}hkE#EhHt^Sn5&AnL??_W^t;6;EI@Lt;H) zbZawNV^f8eq;MKQMojyjYG`$^T%E7)2DBz_{LJbP4II*jxf#qCG+1=&4vsGH_e`nN zGOkw!(3u-dE|2|RWKbeZm)N)d>mPsdf{#V$8U4yBbG7SnDMH}IR>9(?Kj>e^FSs;J zVA}fO%)Z{>dcJW=IP2P7eGkAH-hKjC+$HwK`ha8XSZp?B-maJq5&$+X+Dm(4y#gb4 z$36`W-3v+v@dQeh2M9HiMcW#CFN2t#A#r;gEFSLiA9(C{6N=j zI^6T28obCcs}oC}ao{XK6+zJJQjW{Jq$L3%nu@n&WFa=Ze1&=uyBWxV!3dmj8v82_Wbhnpm^yUn>62+1uW|2 z$+(BSDodzRJT4c#5J+)>CE(NbeST&2$^xZC8|ck63Yt@J*+yBNNC)JmLZCCp{lxQl ztMGzh+X0>gubjoir`ZPkpENAsc^2T14P+)o@62Tj#=(Gg)6! z6c7mLLW6p(L5$T-R`T#WhwrR=++Z%}PbL+1^>|Vtvr>kiIZ&LI2+hWI4Wz|!j-@i% zuJvF181MubmNP#UZN15VzyPJI@ktEU3BP4Pt#YqpId=6KK5EV_SdiNF9%$VUqzeSu zMT`ucs9oeoo;3hEiAAYvJ=9Nd52iT)4pyCV4Xt!WhOsNXPQ!_vUj{ai^$|M z3P;NftpUN4<~EH^wX@kJ`@HDAd5hzT#K4_Nj4a0QWQlyNQoY#qZPDoIcmUiC!Vy|& zx9Sezousb$V|>oMTVsncKDk@5PLBQIV83tg`~AGuW5-en^EQMx!DaN17N1y*{t59p zGhpqCrUbqiKDXy(e>3jD7HoUr%@i)z-~el>sWsq%9?y1n4{OS%9lC}3qAzJ`zC*`k z!4M=gge`FqnI&MMC__Wqm`A&dL7dOJG`NUe5}C1U31TQ@!W?*HC;Mi(CN3sj7GFd% zX^EaC$f2^rVA$Q)K*OI;xv^IRxCajI^3hC|ZwZDdPX!Q?X&6#=cD`5{i#GeCQGMR# zz|z>Fn8bT{S@ox9*F%(!qUMbaErA+^sH)iQJNro8cd?~h8Ra;dRBztu$olJ_1%=$l zN@W7{@#z;?|L{dA@0Ra@@p0#$< z3v`R~JX*2SjniaV@_To-gf%6UCkSXm9rFyeGn5^5Q3~HVza3lvH!0#Z3W ze~vwVZGi8EBOPNE((y8dEBE}T`VhdvQo%6F;u%``IBBm`u+$v_(()k5tbhMAEek!g z(Gv*qp&ng7O~R||BD%VsLSKWLr!MUR!7Ox{GhN5a55~hdMl%t&O2_m(wRm^&q)nyjT~(GoyPi+zaf`ANt8`WdyFtcm*c^UN8FC3B!am zGjE}*JTt&DV-xJNbbNVBHH32t;g4Kl)^r`*@>c80S`5P=PUmaHdvbD^-VB2zajn02 z@!|!-WpRF!>L?BhKv<_QIy{AKm|G%$(=|#%B{*^|5Mz&gW$kkTcw$6NRc-;c?wmnm zKU|vYBLczsiJ{?Rk5(QhaoLVdH?aMX0A$C52;W>!Te{Hh5DCK}>LMnjC5t!x-hNZ4*)KS<;K|#QrjWxfQsDx3 ztB$HzONz|GrRNq9&s4z=`{MBr9={1x5;0_Yut{3D&CvC0UjR(uc;1}*gJZ0SNDEYnpeT+2>aREE?H0es;BKQvZs<--XBrrZOZI+|w;;N)xnNxj4C=^=bQE@eF%KO` zl7KV~v}x))e+Q5(cP)DLR*eyMNR?V3>vlFh$KGt{7LE7CJ+&4PA~0gZ~2AF*q`YoHm$%Uk4$oZNS^YUvZD3PJZbD6;8A*SmOdELCtMY}qrlL@@5r%9 z9h=nQkeZJK;EEk#$T1Exkv~gLD!rhgu>$Pe)5@o`p-vmj(#9q&Kf(jDwA<0ZzhvH% z)Fe+#^28*UW`bK1l#}9N|UfE(3I;fC^b2D&Ah44z}~+fsS8_h=whPs&>X_%%IHk!1R(KSJ}WQTMcq zmiZm1!S$hY+c#(Px4dUC7Oeh?c5WEKQV05&*t1+KU^_hR3|2UN7Y%>KV(+BCNJ(Jh zUF6V>TwCUFVr26EKq<6|4B7Z?&*QflHVndk=vvy^$q7P-lr>yInJZ`bI_9&G6JsCo zU_*5hOFxduBN=uHlL1^uc*jEBu=e={$nmkpha>^^5bz^&PvL#K=xBLuKbNnu4-6%Z z4f)B>%e~^t`+iFMLO2P1%h+E4kLTrE5atBPkq zVOQi$Bn9lrf{3+gaF(ZiF4j9I2(IJ@!W5LLHHZGvR>m6G%Ogj(oy>s`l_L z2n`tpntka>&F>nq+_GY3Y&NL5#eTUt-SgfsEE=^#6{HlVkrQVT0E6z>NT0>D(? zoh{NL2KcTnTGDw;jtEcIt|RCi4Ajoa?IERA_74w$P3ej?+@^e*^}q(uIby()(_M2@ z*gByFh-uP`Uy|nX05(w4PL8j}?6lm|F?%#*zpF_LscI`f)?fuSHS|(MQAZ|25=sr< z)5)xdynjH%u1Oxn2=lva5UpNLXzd=q1ucOYYw%P?cc);;l*G=E4h572tj!fIR(2)!!kC}JC!@*< z=wzqFcM!=#oEP&}gdR<}vGLwG8S=v7K+X*vN2t;~U*K|&n|$e*uebwqgVn0zigau< zZIB_LTA410bp}|3C8bqikmjZM)CH5d=F8A1o0D35+PIpcf^Bg_UEKqPf=)1h?1jv9 zbori6Z0+(DU8ax2(9ppXP%$P);^+iChzdALbUPao)9IBi=Na&TB^~lGN(#FuF6Ikv z?eVx}DBpsd9zu&mw2!BvCfm6zGFa$R(cOpHtGU3@C_v2bKV6i_xa3(KuCv~D@_5SheJ5+`C zLMjN?7Nr_fC%|v`@w5?vqmv-@Z_)WXyqe*S4Cr(GY*sf{K>P4+##|r8u5WO|)mcd` zlg!1$ zbY~jGgoBt+_=KCDQN83z7i5xnQl69WK}6yYBBDV=^tOI+FXW`rASWK=#7jBz+IY!@ zm^dB8B!d`e`%PV*=`vPV)fvq~B(HsofD?F}Uo^@cq@;tC)Y$=!i*BsybjoKEMyfmH z4#zrVL+u0M;13)|*=5!icwHcM z5PBh$lmhe#bkKhCtAG5-AO4E-zx~fY{k=c>)hp@!I3_hAvo+{A(2`gn%-M0e-~SU%_shS4bfR2J>K3La&y7;o_b@IM zZK6jSlRx;Yul|wm*4#LPyUC$=Y0Qne);?V=uakz z+{jI0>r9^twC7_Q4(I#->KAD^#zZN#A%>5uj2K3kM(lgP_X`-YNvgmN=uTR3&-{a* zL(hEgcYhu|Go(rUG)W?h<)FJi`NMCZyZ_>k{utdYw~sX(J0*n^$1xaKF_cLC>pvrd z^IKzT`iWM66Neeeroy?gD4iNhrGNkHe|IcBrf&0nDIInE!(X9SYqkRrtk!_!qzNcTtN$c;shkmRhG8!|42*|L&jtn}6^P=P&-n|M>l1 z|J%B%lQE1uFUaT~0&HAO+O<9y1Y9wM4yIpRA@UuLiH!b7w+Z^9vJZJx<(sopZ?~i+ z6?cHa!TagtO@K~>46w)S5C;rVL?{44n`Wj2GQ*;0!Ar##l*m{bpfVtgWJ5vn&uJw6n1&W(?K`bnGJ`w7Mk#V zKS>?U7jKx~+1%8y<+whS3br=dL^C?XB7|5}6=NGAj3~t1 zsk<5qEBnVecyW2iwT~n$Gb)a7}53FB4D+>&X{u zb;@mO<0hYcd90gyP0FqL29TwFa{!ItR<*UG-JtNjaX2@(Ke}A)W(kTr*lyP~JoF}C zAJrPvGt^Y`<$v@e!=r}r`RBXl%l4IxO;7Ac01Bn9*cMgM?kzU3vA5t7Uz%|`Ukfas zcHi(5AEucnF~pb$!cSud?wlRmmiMZ!n8`iQm+t`#-#<;v9;on1%o)b(B6T!NE#~vC zKDL)BQHhjNrcM|7?6B9t34B>ulIEwG1J}!rPRsB9=-X|(Iy~H1_899lau8?o_)R*^ zT`|`NFtdiCqz=Z^FfFFEJ**UPy#~XiB#$I{I3(wHHH;Gs)@)FPnNbqQk~nfkZUiyE zYDYOSG{=-Yog|MZ$rH9>qR-3X)JoMolRlC3$s~Qo=^Jb_MJ^Utu1+>dKe2goEf-Bq zP4ZMHA3KuGp$MH}*qT@t$T8_mw$D1721ukYQ|U=boaw~je4G-hJ$8RF z@j|pWO&u*d2ShkHEuSC1dT)~sIx zB&DZQrjwNMIJZotIjyhLW^_QD@gON;k9`9#S2LKBHqf)yHEAVs_g>x%=V`-bS~hme zz}&$LSI-omG6d5Mp2;8-=DuW^)@R6~C%Qk5rOd5U-gR(&l(~+khSTKXeCU(u(5EJ` zp6Gr&eL0BeMA}Vi5y~Tjq#WKDct$T~Y-UpH`RAu5b;g53Tksui!ZJ9RBGEK4UBU;h z2N}#G-If*T*@n8rlMJxs3>jojmBj|HMuDzNGEMDGQcJWZ?7MW*)`xLa6M4n>E#nWe zbOq7;LwbLkdxjYPl~u0f!JgaD(y?AJt0;Vlxf~~oBQK&;{HlWh6V%g8rQ6ZH>S+WG z&4nr36B&V*!abx@$CDy;;|y;#I^gs9`#n?ds$Lf_u)k3hl3Ex(?ac-7wi*B%)9b^u z_yA5L`~p3N?U*`VCE{~1FW%>@k)P5r11N97nc2b_n_W1#>}dGmeS6z8BG94(cw?bX zLKFCX0_a=m2WDlZTLP1XHJ$tk?S9GB zO1ImB-8{7>IY5Mf^Xa$}noSVZ|IjA0iuR~T3;ZxYsuJEww+^id?wyQAmv)i~?^WMwBSOCyKHHPPfN3sDzO3aB zSvqT*-#&0x&<(tJsNwmMChRK!V&i2GB-*}r(H&p?!iyI;BIy2P^Fl3};m@i+!oWc1 zDZ;|&r>YymGe|@1_ITyTlPNs2`CDrX*LoNfw|QMOc*=DC^xGQ;cQTG7p&=bT<1$h~ zyeZ)^!sEYUXE7dc%k3$zDg-`|W&j6owmALipU^eDzGr5m5(-vxP2_+I8fPpqOkGQ) zokWbcfxiYz!KQY|#dG56swGl2KXk2b-+;jiH*Tq0llOF%Y+w+{-$@G9#sKp>oH^bw zX4{@kJMSWas?qXo2c!XO{fF1mQG#Hg=LCS;6b*4LHh5IdwtW0%(L8>ma(s|Rl}Ef8 zUy-1Rl0(k!$q3ObTIX&FJ8Z{4h*HEE@y79qs<)r zjEL+8VeK(*wc8QUfo?&lXDcTMD+ zXyNsn9PrO2LSsSWhh+>dRC}L;>Jd+zs@d4EyTTae#LlML;{Sy|ch|%uMglAgAi7B` zD5a#^pDIZa%)8odfKl0YOk9vxPUcUA1kT#o3?if=mm(A?y)6Tk({Tj=+5*TDqnM0t zeN-KoZ4dUk?`X;GsApkkV`DKXzI%0VY6#2PJxu2Zww0f41%MISdV+}bZn{p={|nvg z+9RP|eP*^uI7dO?d!SvdY&=XO#F5=*5t<2j*Nc^9J;x*9Ss1us5+`%%(PwsoaUV{ zu;BTWb2vj)FgF~edQAS9Arzcng*U|;8WL(k0tQFQJ6KP3h!un;Tqc6%eCtlpEWfiK z)Lji#CX6{Mn`Dxfh_G>aRme21QJ~G9g4k)J4!2SbAK)MA3+#r_jYH89@9-o7N8H&cWI9d)o zZgiJz(O!=OonxQ*JcLk@8!Yk9F}rZkDm|_GreXq1?fXavBpp4pa@&rkvwj$GIn?-G zb$kPiLj84YXT*sVt^P@BRIO0tTr*;bu1@RixSUcjoz%GL@Q}?a4 zEp7|$k(5q-7ykg*$3Y|??ashi7J$;Wzf%ZZXl%y$;dxl8LqS`O3x&bWOxC8~tG_HGcIqaU*XK*aMec<*q{`Ldutg&g}J6S zt!EXPGOw_=>P!qg-Hil=;6^0t;Cd&y|I;6z#z8R~*U|z8@;1ALuXnXA@wTN-Mqio+ zM)2^u=T-5>o>=gx0KsDnmQh_&fct^#+BDmqFlXrat}S)y8*P{vg~FTolFV`< zbZH8TShb0qU75~39?J7I3%xwk_dEc7mYAP8@le3qm1MYQ9+C_&T#b@xss zupVe7&gv{IXrJv5E4^U4ob>0Qgq^7W_Sy)VNRSr1%NW^O@LjLeZWb^$w%^mj2Zg-B zHhHhLA*?5WhS;|t3T94YEt0j|SvZ;J8lmwA)O$}ah)m*Q-=$k)DaE^t(kCtb16P(E zU7I>mY3RSCi5!O5OwxNlg#CLqaT5`Eg(VXLWiAZ!RwgP;rQFNeJ5`zAxnNx!OGw6! zkrJ*O9>Y{>ZM+TO*I%*6&$0#4EXFNaHsJbLzT0+@iufx8pkt3;v#N8npclS#88HF@ zE&u^06Y{FrojQqM$Q%$RF+lRAuBOTNL z%^^**?Sj%`zT9X5QGRP4;gt$2`u(4kWUp#qfScu^GiA4K8N9D1*%`{=_1eZ=brX`l$) zDf1p0cNnE`2r23NIub1`5U5zEiaHDo0q%0m&BQ?GMzQ4U_(% zi4NjZ^Brj+r;{X#LO8mXcT^*+Yt*wK4LaX|db43X5F2phG-DX%4X=5?9VzkwHS2h` z_v&;4Epy9he9{6=)Hc@SN&+^`+f{s%_eP0ehf_jKZc-}Q)CnQmXxrj(!Qs4ppfw3uU{?u)KF!-}Tp;@2|dqr`d72dQh+9p4{F z4)+|2^l;?CSY75rLT1)w2zgv8Gn`txzN%=%Fisn_FR8IP8_;1TY4D8$PCC`JcXZXK z4g!E3A4NjVT8XDol`|+nZma5yT^fGyw4pHXFR&G9-q0Dd>v0tYgeuLZJ@9bY+F?_r z_(7{@GE_?LrigB9dip{9ADmrXZ=m$u79hKMZR^i)e@kNozbz)-4ybPR4q(uKOlL1$ zbm3lz`)Ue|cLysbXH+~L@eG(aYI$8VG+l(axp^mJ720CELO0^Z9Hxk=TMp}%mLJ_E z*L#|fc7ZE*zyWu&4r_7B!LNfl=sk8Lta!rEOyWQ3>sKhkPY_Ip-r>!@BYQ~0p!VNUXa9X5!A#rW{u}jMY4C8Zl?n9d zSgtex?$||#UlaUV)wIX2z;Z(8>!x$$2?*SYoFLM0U3^V%B_5#ALrF=}$O_^`39^z% zVcZ~rZv}~S%QhUG=TvXH#z5kcmW^Oy(I6+((sa2^!Y7UI&U7^J-U<(0)gUyK+MUg& z1SxDgI5EP2lsa?_gf2W&>38O#5ryNx`wOO3;zWTJGDSU;bni$3V@xL{^8k1NfQ&gJ zX_#3dLOsBB){r`K)?Qy?t$=wkrgOy#0|~&OYndYLj+P0`k!Sb@$5t55#_=f`8k(4GLxfK)G6~E-UogJ=G*r1Yj9!h%i1yV z@NyTWvj^FhB?WYkxmH#*ElV=dwuWsm_`nZtfMoJq?fgYC$p>zH<7VtIO&wckhOhx< zj`IA6q$+{F1NUk%NI|_-94BVzQSihJ8=^5&(JovGk{1G;yXyqRfxp+{9f1#?|hsTd7 zb$+MA;TS9~Z}#9Arr3Hda5koQn^3Pg49|?n|V5)GZ3K-pT;e%uNie)`+YgJX;$%m%LiLV>l z!9;NP_z}(eyYlfH)R0EqK9u-s=zE5ZdSWhUFfH_hLP!wXU0>UCY?5hZm>kA_S-f(V z4bPdSqAU*k`mSqHKlz4sSh}X%jr<|uZ0wilTp3Iyp!@b^#FhHgk*ffunW)#24zmpdAR9wCp@Ucr;z`i#i9d?bjO@e&P1 zj(eIeHFVZ_vpd6LQG<1y8TTfoN5fvhUBN76#fN>)05-UYgFxsz{|FuPosWv|e01RX z%JY|>(J(n^w$2!shT05PP}v-^h=cbvmDRSy{Aksp8q2lev@#*qYF(^>L9`~7ssYO- zU}qO6G1k_T}|6U@lf#$y#u$4vJXA2*ZPhmoz=j?VkmONz&PKzcs^+iHf1nd0>@BHKKAdYlh+r!u%_3opZLone z61U|u+$X?+52{k&WWhN^yOzX&a_*n9-5WPaV@5{_@$!;5*aX(f*2tDmF8Hdn`(ty&EXgFPm4GM(Pde$MD8suY-BkOt9-c zgab-1$*X$@e8vtAb0?cF8gMqCA`rzy2O(!o7zBsGzCuiaCWqd`+`x{yrTh4~8){3d z?3m*ihSRU0e|rfmB|c1Na7kc04-C=b9cpsYGDeY^6qyN5JVWeYvfB5wQ*EB8t(V1u zu);oNKuQFx9mD$UAHP=8jKw={Q{(E_&KB1^r>9ZaJ$9u~wr*N+cTrUUO2I2I5r}j^ zjJZw@lNg=E)wRY&lX83wS`HuAm?OSx+bpEzit@sFhx(Egm}D6#V--N&R*n<{m)mXL ziqCBeY7Dhr7aN9n2qj$!U49tyaV5t*@OL!-3~5xkrJbhMtuvqQoS{s~8l&=~ zBV6dkxR2}ZV?L+iB*q^gBZ!VqH-2GyvNdFZu1WzXXYPm)P9wpT8!3#hd}G9nb&}dn z>R1f2J=eGghmk*pd+@>}n+=CQB1(7>oN}ZT7W8_U5OghPBtrWo9i(vP0grB8J$~%? zgKuu=!)0YM5kh!_F1|4G;b>OlmHS=FFqExfm`cy`2ONl#4@1pqnmV&i@l!JxaFDWx zSrU>KGyiC09E)9_mkTN3*iuqEXeQ{$Ji2M~Lb>vlo?x_})J&siRu6wD=JMl-%XGHD?#c<0LF?6Fg zQ#DE=G<0&=PW_87p6{|^Dmfg66V(|%W$CQX0?&+B?0e6OzjG!9rAA)tMspeS5lN;a z634^D0l0;iM?31o3k3X3)6ekWn}2@G z%r7RQdNhNODzwae;IjWoHTiId_Ope7EfCq9*?VNn9X0MMgM zlfmkbTXt9(DnM6Uy8p#^aPTI5%eX19w+yYK9!T&s4M4VJOnF?Z%~-=INN!@Pp-a6$ zN03SM-WNv`xA@hg&k)H)_$-xE82mp}hd!@$R^=)JB=I#u@>o$K*zA@}@ENMFZBi8>- zC#D{h7!H6Zvr^fH!WM_FQ9yNeN}BrnT5aH9&-GyLqAC0HReP3{vFxy!Dnc2}yw+8JIkKZe%7HUV5~hMB+sE26nGIlvQ%kX4ga2R}p z@H$^)9SR(EcspMUBO0AYcp3slOZD-sDHQnqjNs$t=;Z4G^5GZ0hDn|jxs>8`Zh z=HRU>@2GPQB}jahS?`MV0Wmg5glW-dOoK+9tyoH8%($ZGlki<$Qiw>En;kDKF4+Ts@c!|*L zW%8ChNn~Y5LIP&;LLde+MuJbNS*71J6C627wUR7)o?Q%F62 zObXGdE^}b0Y!FG4UuLvC-%Q>Iu09-Gnifzr)TFz-Bw6}>A0f2WM$zh6^BHzt*@F78UMad%RRUE_nhMl*79>r-!sv|E#;w$yUjnoDO7zX!4k2x z$6(w8CIgUzUG1DzjnFFX2}GNb+TGH$&);B5(6N0ubCNCf7dEeXT9=NUW zZ=)g$W{se~-tapjr)6uZ#Sc3C&20hPIqHXpJvA3Oq%-Mb^{|%|(i?PYLMJb%0YeMM54iT<84ErcwJz<_hz-{Yq@Ct_$`3Cy|Dq^BD##dvvrM7jyJT5Pl9u?XS`hi zVYT+E=JUM8@s1bq3M*+iF>nC&Hba8yNu{c3p%(jPjm@C+Z~B}zgHJF2O)neGQQ>^B z{^n0;{dwX=Rn}`Ua-4dEU~8>jfDt@+p*O`tj(Bkd$WX^MaCD&Z3cAy=du*{bsFp$- z;4)z>+=Imh{iPSZa(u7@2;vv00XXWE5#C4-1$nLQ|K8GK`%O>LcimYj@hwHVIEi1~a7_9;xyVctX&`f}5IVGadt_47@Uq zN8P)gczi6xCg@%nC4`Xp@zCzTxtsx}h*{qPGS~5W`qTWba0}MqLoYLum}u#k1cUUz zg&{&0P$N>qG+sQWmg^U-Pb1Tnp-ZY20QKxx^RVW5MfUmfCqC=#gy-7y{I83jLbEDS%xC6a69YBdnd}0XGv9Gh4WcYhF4PeX5GmIEtkr})x zcBn7lb@L-lvJO#N!>BfUz@39T3qjU0xRc2jVm=4M^7a#yruv;7I-7z4{mtqds(+;a z(9NIP2GoMf`HU6q%KkKLPmt)P&Zf7S=}oNn!xm9ZhIG*xm>RCG9~MfGWTDmOC);z@ zMMoPxEsTD$N$5qbt9qc>*wdBfN-g7YAt$DmEH^Uyg_!{MO6-BM2aVI>>UN3E$9I!q z^mx03T;F#`2HTbVCZb581mS3_{`b9S-e288yP?ZDw_Z+-i-U??*I0*nfu20LOGIxoze2*F-7PPDxt^k&T1^e3ip%<~;HCn76o&tim^I5GIo zc=lXmM4(>*6Ck`yOPZT-2jFsJMDbAOG;)H#;$f_6lkIcA8Io9sBINEEv z<|7c1R@qnVhUo&H9NSeet4$ONt4f(;qNon;fr1eM1A)S2-tD2&aLDpfL1g~6q6D`hcO*EeF?TMMpv6j39W;A=nn{AI?((&D#svWF&x81 z`UpJ)oVk{Xgr8098>}tXRhcptNSf@Jc2QN|Y9Bvdfxb0o;IL)`wlo@EF06$zcctG* zivfqay(Lo9)5Dy`=s9Vssbj44f7!~b074^^&i5JCbD*-2|@XBi8~ zEXD6*a9t_NCvw1UHRMQ19pr9Rc&6&Qyu9A2?!-Yl)!=WW-j*E)vRoOvX$H@;{ufZY za&Hj+9%pG3`~~@k^MZnR8I2B)OqK%|!Rz8|I>`R%c`YKjP!pkcF)k%Le*05yuUEFfVSNQ0i~E7+-6SFXeYpu<+uZ`JTkpnA zqbpPJnG7-W1_nU-yzyhkTI|%JKPnq^=a-TqDlvn1 zytU?6VpTEuI?!I!um^F%_$HxyQD6aNQ-P*(y(h8k?l9>oN=U~~3TLv#`6Js9p8SCo zTPf3II;C&m0Y~dj2iM_YjQ7j2bV}vjAc82IZNnO_^L^^t_8v9@lNvow`bKOuz#yJf zb+XCR-iYvyVS9yLjH7}Dc;}k%Nop6O;StGD+|Df!5ip>v{72rnCDSo;TeqN0qNAUo zRgMMFQHz=6X@{R_$v0KkGtMwK@Ht_GytA|gs9C%1F6tDf zH%R~=Q?xFJMYMmQ={1oQg*PrESz7QfDQ&fC)c*0K<6<~IfEO-;pFGsPcw^@+U5M$1 z@c7M(l-W%X!&%(g6pidKcu!cQ@{*g>1?;K?6x|9u)3gS=^K5)Spq}>wz<*m?su*T~ zU8-U!E1*;%JYRt`3Nyf=*!AoEWxC*o{o|?EXan7=lZIziG<~{x!IU%uzH49sfUsfd7EoRi-XuuOv-Xc4`*T__C2UA6-&a*pLqJ%3EBNpV7t%HbO3+FrWM(!t;j;F?E_p)xK1aUP#enGlJeVA z|FrpDu~#|iV0A6;_9P{@^J7al(wF?ai7sv#02hBD#1lwfR7rI}L?G?F`%bOo{hEr} z(4Mf(0X_x*@0SL|iSd+B^qzhPhSUMT7PKXFh4tZ2>Ve$zgI~dGjsAj9UR{nx$u=jI zY=c&;bHG_Q`frN?JaWa>$coW|U)zS$aY62Ak7$MqV8iiw74DUJbI9Q-?I z7W0ZW2q0F`AU7#SKy@kqA5u8YkRYHgay`~d_8Hcype3w0Whtyz3}t_&LAKFX@yoa z9d_q;@BJsc7S%&!^`>aKZuh|Z#qP9d(eORP2}<(+PsWsv2f$!z{1Emj7{9m>YDjE> zzg~2(3&5p$?6A*gv@J%`Xw(VUUftJ|G5Zt)_zv}X=P{;k;pf)*;AS(-D6@IJt)DJs zy-QUM-|*!u!+SGx2(wrDm0fM#N!QAMQux~%BfhZ!wC2Fi`TjM2{gw%OeQZ8OHN~Cw zQ>?US2jTH!X#Ax9JX_v^C-1dA^LL_~;TyWLJlW)N&A+}}@9ws{vFUI&W^P~%A6&D+VsRb8sVADkRE2T@B){=3mo9uV*BP_K^P^P1Cy12#6?wq3*15lscpGaMAq26}q3Q_q?}5bYq^*uH#h^sHhMk@KU{6NJ)Z;fSHwP?qCy>$ zoc_@bK*rbsSy@aAl``)03eH5dlQx^Hjdq8Yd&}G@F6m%$X<+d^U3fetiODNHAdOEP zP>uxw3lONuD?K(id?IVdh{QPh z)iU!qPory@zxd;3`-Kw^ZJshd(UN-Ts8pScrF<1Xc=raFtsdH1dY^kyVD zs{?xTeI=T>ai05n!Lw;KX@TdP7A&S# z@nn{(@?{T;t)Kky!4J1QkTTzcRBdn|IWl<%``(hyUY`J&2hxjLt(oo-@$XqW8pz*w z4s_}Nv!8_=d)L(TFHqle#&xE@TE+uc0E>nZPnFvy-_W0T2u$X0dAdSsM#8FmRoa2E zveShge!S{J_?VlmCI?lHvJf^;t5C~g*b*i_nTTrhV=?^jq%16E$nvh#t3Q$6l&f72 zYK0TxbH4MDYQFP32x^_kc%sGFWgyu%lE?RkNi9F*nD}O>sD#WO)Wf8LymJH>jh%!Y zEqd;n5Z=N`qoe=zWxl#v_?QE12>J2hJHOK?-u96>qO2>bKwbiZe^Y1}$RYP2c4+7w z3>o(3wg+80O`q2wAp$!7p4RZ6{j7QIq9g9A3kq6=GmdMZ(rPU4S7pToS`z$ zi5n_9q~0|B`oN&vt=iG89JlkXDYkvZ73Z@Y1*FdwF#L8|UsdJ@Jg0)obuO1TzieD< zZ|jFy2Ls!VXJgUi1tS%MYk-En2QIRLLpUo&!btX98Q1DQol@82GPnfkf6w*FxSXzZ zO7+l}!^{}Fg-s*vfs|)nYu8G;>sGVs{XoK5N%G$^yG`GZ4VsMU<~#qYILLsG(on~F z^WQ1IFI0f*W`xJe&u*)4+dmpyK34+WO)Q2w5TEoN#lF zWaePyB)zQJFffRq*#%%(md0E2Ln{#>a?0Kri_qJ%=3D_+CCu$j|AiNr+A_~@b!l&BI zB#uGA(gLS0&$Nu!15=*oXKrT2b7|Qit%1)J+`@A7ULdT8kQ6#x8(Z~TkPDQ+3{I2G zwUX(G2!iA=9LHCnYR7P zFbAoX&6^y!Lz}PGQn+DL20f3YTXMP>?~2?^$jpsm>sP*DaG_ul)-1KMHYS?WNP0d{ zWNrY-UOD%|GV9Eu`D}o}Rh#l`3F6~OI9k>q(0hBXGk9oq9&Lc8OhQcmL?*_B9SU02 z(BPd?ubk)dcmp4-q8?rs@D4NiBq~yC4`s0hhKtTMkUy^SvIgoqBL862q){G+;Y9ql|;1(*H`uTz{>1pw@#9pV5-(0DZN)O*5cl24x9w9BWq0buC zK7Io>wR_>McycNLZIZ5EAb~kC!2Pxq7He$?9jN}`l#uUo(D(tlxq>Wvl~+3;XoEc7 zKtKuV8EySw8g26&8{Y8BHry@1S~z{!pd$p1acY084*n(3IE~1VJ=B8a?PF}oMcZ_V&(!MfQnfh|} zk_ce*1%+~+GXrBjFXtZg9=dv7daa*eDFwLMq>Y@Dy>$SLeo$2l`eR(^*83vgwhpx7 zx@OPav5s)}-DoEt_2nb@;;v-XjtO))=jV&eeV3m=@K!74=0?;H;MSbH6rv#;_D#yC zZvwiWdK&0f{>PTaRqxIx_($c(Tn7@&oMRFDpKq)QVxX!>X)Fx~s{n)O?^<@_8i`JHV<* zz`XN7`V%QIh* zUun<|n$Uf_cK}#`Mfv!xeFZW!&$IZcx+D?1GaO{^fi6_9bM^yo=vIo|6-YcNFSOR@ zHRB;(EpL{M_MiIR-kfPcu&X#mcvGX_&v2q_>h_Gym^XZGC4E?f)n(Dz)t2T&%VGVo zH5nY*rt_l$S0G5AXo7d7cQEO3izt5JhN>|cH+7O*2lYATztfCx)}?N+zk-mTM$ei} zLpy1HwzuV3NCs)fArOR{f+Y*&FdjBt$f2E1#%VKLD{t581QNmeh_`LJNz)e%ASq9n zT^oCgXuKC0J{EpQhY)RWqyoY77Msd!g!sp@mZ=n5;~nOX zB-FHVt&wV$WwKv;AEY+sYT~SkGP7?Fkyb#E>(+3eahE#ME0Ox6pJ3BusMlPByb{Zdegz?ukQ>c z2W@eHnFd6AA%m-DmcjkSM&m$;)~~PEc)o4=+)Z#Lzt|u*w+bo+NF&&IYOqb_0zA@c zH;lDaGC>ArXekI15~g;w5@1uzIhD+fBOd5Bb&Y4$_gdZ=&BQ8I54yF@a>8*K7Iu;8 zCXiSs+{KS|g*z3s3j8Md+s6(O33(2P7rgYbB6R|+)qIAvo3%_WOd#5riX)R+GD7bB z(=1zG9V*n5H>nf!uL1#_;EF`x%|>r*{O^+!4g35$=Vi=*623K^#k5rP62~7~nuYm% zmd_W5XVElSAF#-rP0=3StFP~q(;h;eCO3&^=k%e8Cw!+DEH|-GjZl?*{4PulOy)0@s8~~U~A+)HGFd6;QvJPkU^kp z7?i-7f@>RJ_Ty1PXC$l@^5`NMhsWS&DT9jBt}05iYak0QLpO(HEL zn#;(p$v6TduZ0ilC?eIA8d^j$itzlIf1s9ey)hne`5l&UA!d;$VljwahFj_=Ap@Hok@mt}F{B-st^fSgOtmm?guIEb2^ii?MQqamZ~7C3ZilEL>+ z=L#JvlyMP;Ql^PRa5YR4vpFGeDp8fF?-KKL%%~fV)(}+E;K<~ zzwJT|qAP#Pmv7uT#Ce69e`-qyPYv2v7C}sdbDcIs4WC(Q5eFKb6Ih+ooP!k#kE-$} z(k{h`3(u!4dXm>OdE;*XY4iG5%0=+LkwJe0Fz~IS;sIzu*fZGdv4vfx0|XhJc&og$ z_%OYPp1`viYOwa5r5+O8ftDkJa=D(Yhxj2?TDR(?SfPtZPXU1uXa#2}X5yK{&oHoG zlc%|i9kF0`5+GjoD_W(GU;ERq!}3x9fMW-B7KqI7)qk?M)Y15Gi}djSCS|0o)g&u= z8n=_CKU(P*jFD)-m~6pZYH#utDI0i{8{X99t354DbO7E@tUaQc0Y{C^Eph}EG;tjv zl|t;>QRO>q?6lbcSmj(F`U-sSfaHiA&7;I|PlH{UC*(9=Y@Jb#dH{$!kk1EZpDdo| z^Je*c>p<6vgKGO7<@2Vc@mmIaV~^<*PTm2d{ZKeucS)bb(;{bOkb+vD>j!lJ%_eBW zbr#A!k~d?vP4Yy5Qcx8jSaT;$CM{rp6jHHj1nAT_3S)?6)ndXl6-nCznB3)PKqy1{|gPDFcroyYq zGTHFmz{W&6b|q+=pnvGG_X0}rC7=>$EqC@;>~`H0r|y+S#|!K1O@2Pys=LQ;9Gu5* zw9Bt_s$y*wD2>iaMPqt^51w=R%?g3+2y@XtSis?TIu5XP{_J;}Kl|y*{_b!7ufOo! zKltu%{`ueGANZ@^{_~&JU!CBQ507EG6RQ=*h#dOF4cXnPGTV8XKMAv)Z5=<;4|G$jA@@Aj;+L@<>A~4yG?%5vyFTj_E z^ZsStt5?$>+WVq=kgASf$2@h902^l4ejo26J0@A@Z(KP0Cz>pST?Sr0JiK`|{+7W{ zucQ64L`7Ms4^ZJ9&ZA24muP{{P90o0$^k@*?;E^X4k|z*-KIjmLIL#En)cV}XNCke z-7$P0<7MrkD2EsY#(cu~Prk_UG|JM)uhdN1@I79^CMhL2A#feKc*YU1ue>a_e(4L^ z-$Fmh@$=l^Zm|Za4^6W()6)P20=hLFoa;RfSrBK_a;o5OiB2r|l_9Ruo;OB#xsO8anwu}IoS=(R+`vC7h=#(@SKL{F((9#FwM)G*nxY4+G8CGEAMUv zGcYK4>8?U@Xrj`jU!)-Y6Y)D9p3`sWVnvHUm!Z?3Dz!QQVap4tU$~$I0F!tQ;g|rf z2wm3b8bW$=LTMlfN=$wN&OAVhn1GztGN(br%?+(ES~ZL6unmt=1c?KPDi`aBF3Acg zz!jX%5S$IqyA3C$=}osvT9G$AvpwqH9;B#iKu56og-WD5lLLNo4D5|Bi|tyvlkO}! z>@uz$t*I-+ht2@%W@3hq?%-FF9o7hX0`Lf31hAYVu&|75J(vaUmK#e)YRaSI#aCwn zq@BDk0J+Qt8Lo{}-2wJ!ms@x}g>CV;KJwkz z^QUZ$&>9#zn2~@w$OWE;Kf)~-vAdPR+Gij_V6_pTB@n6>j`4-e# znn5B4jxh@99#NbUQ0}7+^bKt_o8Zv)vjSo6d7QgpEmNzdO@A!5KlT~ z06ELDQVZRm53?h4l9@37(>F4+?y=Vn-3G@p;}Qn#{nHAhGn|wY8rE?nJSMT7PQNGR zUTd}IS&X}4x{x**Z$9zDPb1Bzsq&_SMcv2?97EdtDMevL6#3T337u%d#QL&@dD%J)ELpLmNQ*}>#%9+JJDkY}cHG*&C4IGL z(7pPeDSG(OlkgAdd<+P`Dpsqrfm)Z}C_5bs4O9IH!Cp^Sdx<|mKC0(k&P1B)f)TbE z=tO>}E=(LWsZw@+$RCRQA^|m>T6E7(j>n?gYsf>UX?w4=U*4%#5-1~OHFQZOg`ady z8vC;CB?borN&`{BL8gP5!U0vf`Hl1o9BXv0k;d2}`nag?%}{e1A1HFrJM6YD>*E;I zZGH|@-S4fvr3-n1SQfA}!H4-!!}&sVTKkm*6=9$@4Jq0{7s6@G?l$rp73OP-J3J!q z3p}VhP^J3maFYx<5Dvn#IMzKKBoM==yel5XN~O`{hAX*((s0 z@y0myo8pVS2Nm;hF7bkXPX{cb?-gjEB%BTX!xL^@gS8h&LBp&e{>%wO9Aup0+aw;DYu`x;ng~wP+t`tA<yyjRYy%qt1)wSkaKYAQ3*X9LH2 z7JJq%&zV5V^KL-Dlq9ckx7fqDP5Lo7D8l#^C>u9S$RXa-2~1uKK?Ar6MESn`GEHAO zTfAwn8@jM3sA))F9oIW2@;&VPa{=NhI1vN9PO4EvV(2PM+coLM_$CfsIRa`XUJ=qd zkL~OWnKHn$s*$4mGNF3F6^>nWy_j3>xd{xx2i;j-==m2_6ga5eJ?$b~J&5vQs%jW4 z+Y7kE(C|CWCMz8l&@Ccc3j43Xsld-Kw8m@pfGUnO5AHzfCx&Wk%bt`q?OQYl-!Mp7 zUSe^kH#kaeXjSt=EPOn0$E16Pozucw6*cuZjtekHG-);(+7S#Alb)aBpG}&Lzj~u^on5C-qrlhc19$$8?p-8J zLrVfo^bh>n{!EpTIJ~Gtc&!#B+W*lPFMwjsP#jZYmnoGCQvpJI)fm|3qW~1-FgaL0 zdvxRt+z}}o(~Z5N=RIT^Wi?;b-C~j+okdey-q{z2tJkHTYr7Q5z1UDH| z8eIXv#?{dkv$dgh!&0mD@K$b6&wT=7Bv_B&h|4@Qtq~l8+8v&31M24+G$Y?I^l-&@ z4bnKhYfWNU?wx8L=sbA*xM2=u%__R8aSI19obWcXPy0pT(YqDy^HF5ChrHoKeg0`E zv+Y5pgA=RD?_qGeSL=Pd=tx@4Abn@K{||5P^D9e|r3t<2>X`;df)NrzgM{QguB>{G z%#8BiKT;YAR!A&HtPvZJ2#*MV;SnC`KkmJ8R|v!m(-PtjV3Cv5pr(XML#joo8B(+8 zo4J9%fCYmzngPTHi5)^9zVDd1yLm+1`|iukYIXI?8xdy5%#Iy1JICyt@9=n8p>M=T z=9d~3Y8o@W)SjM}yV1f&j+b|1kL#TN;&k+~AM5%c|GYSv^G_#?V^gk_o7t^KhP<4s-4>b< zre%djJjpx;1qHSXtXHT>Pk;Y{@a3<|rmpum-=LSTN}iS%EPVL+n>Q-_>{qtZTSd>s ze4Lo8V9X=R$YI*?1l->0W4}D~2YNt=zuqe6m^z&&Oa~z>E2!>8PRG*i8HzG???R$; zFry_{XJCF&Z`arx&Vjx$x{M?w<9U)X0YS?+d)nt^TPPSA11d|lI90@1=6tVLAcGL0 zZ38Q_)*!^t7E`5rW~pGyg8`4W;=iq9aK^9oU4WqIKK=SHzR78gT=#PD5Y_*+zU-OA zLWp69W%LF1l&ZW!8EfgAOBKY?gl1HuB=c3!1y6x|t8nPa$_pyfudsw`{7-dJ{e9KB zdF3T)!g9Q(s(x_v??RAKOFhg%(cK4f^5CO+Y)~M<+dqA1b}sv?jl>Ju*WZ3_PZGAu zw>k5)>;LjArUX$lSHddAPEpfQ^;Uzsx;on{rVk+>a2zn3v%VKY)ArllYQ1{ryim;1 zpV*xGlW`?&56#yV4d3;wfAOcXF9&lArX=mHEHi9E52}5vY@8*`l=hxi8#6mhb`_Kv zZJp4wCSxmGcrZ`B0QTu*#)gXw&A_aK{;)o)D68ZKnZeNVT}>r14PTll=oyS*Y~a{j zT4j8tHwazXg|1j`3F?jpvCB@ynQ0V;H%MKXt&w!Yb3@boHEiN*)Ad#l4T8xcW#&fr zoinpPK@nzankbVxxW)E={8zR24%5eUy*Ps(x9Tr?ut{>rxBJ68wac>T+RDqN+=CtI z2X}@7h0DAPuDfuR+j3qW>#0=eE~3`S!bMa#VU|WxDuq6~-*q{&B#$Ni zWZ@p2Sm-hD=}50S>7zwT&!@;8d(ksB z`dBW?7U|K+{6)a<=vY(qEEsOZ7K1+RYG@%z4yr0H)lUTjpHu0FF$FKkypcs!ULMx9DIHNNt$S+Z z#{5*+{N;XYwIsGm-}tcvx;G>Rm9ER{{A%4PrbU;f3{#eC#+nsqO^UR89^ zHs>d0NiS4V6dNV$erL!=iUmi17gzcihSR{Am&xp9K!RC%x!w-_Hh(l$aGa4n@zpXr z=68F8T)Oc1x}R`8j1z-F!;o6e#gW7CWQ~DZI+lZpR+t1M*@?i zyxfaC;pxawYy^Bamrl@&){sJ(iKu(gICLzWL*C41lk3qH`S9Xk zEO`&jqsq6&%9SPVtL114`s1!#7W?@w$g!w`2ABT(kGtm4*=vU@nTx0k6|SJe%$=fT zMhct_8E;~ijoc@|1{FYufkJpqA^ji)-=q+a#Z`2{jGm?d!y>$*;0+X}1{DOx4GPrx z{ULR4R~Cwban&@dQ^;y?LX+Yep|B#&pts zQ=_1$`9uwOIS0n&`3^pLfT`V(I?D z-b47$&`3E?@0?B{?m!t-$?cb@xaPaD{T83RWC;Ao92IgAy2^d{m5nO+LFc`_tegI% zT7`DZ(6#o^Q*l-;`|q41gPFa|_f&)8_CS=r&~wz~-l;g93O>~oPO*k2y|y=HA+h1A ztw;vA6-bs7-{IdTLu*6~AgGXPEYywpv8TdGrnY=(D>377c73})OZsflxFsxzt?=4V zT0q|=jQyTD$PMx#^C0(pg@IZaEVrX`0R&_Syv{J}7WwY{$hlfz{8 zi5ELTpxVk*TcM*cbzUAyJf90a9$3k+?Fhj+O-&U03iy-{i3&h5)Q;7j)35BZx#QHV zV94XdFVy7d+g-u{Q=09!z7o63SwbTPd8qTlLx~w0^Tx(v)mZ5C?do}f3&byIn4eV9 zUaG(y`)y>*52N02D(Xf&)kxxK@SqnPQ5WLlB&BMSR#5IA8A&O8^M+=iTjG$`&G@RB zR5cU7*o?jzAEr4}tXmDw86qh|BT)cZPIM!IYDDi3DQBk@OM+>naGbrkNBFbJ(F|mE z&J)g{d8<(h2Bxz{BfUR(hF^+P+%Z#%4l9zikW9mh)UXcrrYa7Dhy=qL^3X!2TTrOG zk=hT$rJayWP^OGrxYdhC|C2AN$BT*3I5Y~-Esu8sj&|~-6MilhcZ24$zy;o20 zs^Lhtk^~8cqg#npD>@c~7^0ObZlMXa3U3uv+db2CA6SrYoLhVDc6r;4s4Lw}ePeIXf8q*&mTAX+b( zcZCp!)X$c*alQzkWXD4>kwWO#Tg<`J*H!VTJmi_2eUU^^kWgxEaeW+0$*J3Hb0Pup z=K2n#8z+^Vve{6SZggE|x4Zkoexz66Ij08CV#xx_Ko|SBEe6d^C_i_FN(e@0?~<>4 zI+0!u&8<9kl4Z}t1d?nM4Wlfe!B@;`)(8@Y{z-c&6ZnLlUE4x3f95v*v@jMv^A+V5 zf=ZPnJur{(>LMuSCRUPZ^%`7{IV}w;zuZGC#Fp;PCI+0 z{m$zh7bwH+=t|hwdVEEpn^q_6Ku~-z1;R}}%0DM81PIUi^_26&k{3ywtjXmx9f%qs zY{AWT19KAWfzbuCxzlgaCQv?a8P3>Oo@K1j2YrVa4Adug-Qk-t-c5g#-sCJ*C_)Kv zcj_FKeEUOfPoez-<%`?&@m3uzRcr9GgDf#jnUz0+z89+o#yCFz;LNp$xyBMk;}#z=>+F3Kdch10I;f{vQpDF|Ug zw;|`Se)UN89y^c2jfd|{W@PTHVOlx#C*bDSsMJ*T>sp0nIFZzY8$U~nN`Ny{fbR?X zQV+gXcENmCYHwP7+_tF3n@xee!)H^Dv-HNUsE<3@E1XmQ`oU%cO+DE0v;3?9M7^6E zRI$FN7>`kE$6|L-mnkmAdT?|OMo8x8!?n>XrF zddx?l0I6XyOU$l*f*yQ6_GNd-_ks&ovSTMEj&B^nKLD>w+71>`0-AjL^zG{DTROi( z-uHc1_0FMh^3E=rb^YB}IiV?8j&clkfA>v0T~TDdn>kh8bu~TT_RNIt;1GtLnLi#% zJ3p_#`(|i|?i@~jMho`7hN=z1yQgolu+OlB(21u%MR(7|v1Evdowxb-Ul|R>J`O$n zG_}+4C1+1eg-46`4%JyTae(}S;?wUQ*JV}go&LM8`o`Ypcm3YcaqQzS)i3@hdB$sWp7J~6IbN=%P^&L6+~1|zfd2sHQFo>vE85FVRetwX$+!?KoBX`Y zVH@X5ddEEGI|^APNj*Mt8z?LCWR>6Hf7UKvF<$b7S<@1W*@5uoFgaN4`>*I#^HKEi z#}=DE#I!i9N~=WS;}Q#Gxn$@2s>*jZ8vpJar`QnAF~@M7QJyZL;**%qJDPK#d1CnV z)9?0Bd$>0pp1%G5t2LIMwa?Fd1d^HR>Z(6VA2xgXi>ZyLt55wSXsk=-W*bMrG-Q5C zqd`f*w2#4TIbq1ybS-X-g_5ENkQ5p9smb@k$g*W)C!%Of?;wfi>fNPi zRwXt>RwS7%M~y9iUmx{0DT~G?$0@aHJE4TFaoqHdl)GMjJ~ra?awhb+Dfs*T*r|=O zE$?v1v7uqH^yh7V915SyYF$1$QVRA}ajsBm8b~Or%mt$k#p>7}?YcX2r9E0*lP@1} zt|?}<`01QuOgvTE;#?lF!ITGV*Uj`zes{#?wO2UR!^sk6YD1BA+0si8^2p7^`p;(B zA;t$b9q=$u{V-`g%6iDSS@Jc4SAVNop!*f@c@idRYMGZ3*-&K;&<)#Gu75)(3?i3k z99If7>fA&WuWXg@2vxn*jjZtc3ItVmbuY=QY8;eI{$y+9G$)K=FJc~su~OiU!xB$- zY*6>h`Ye@FbqyK^UP921AyzsWYTUr)*33xg5Ec^uU<|Mhhgwr~nl0$Vl99?D9)}`7 zNO^-f)bqWe-jq^XEMVb9s)m(Bo|jqKR4E-BGjj`zf2=f?sF8)f8wdo+s0)t0Tw;Ni z%+0_X>uzL+pE^O3gs$L|jKRTUA8&x8R|@uylkFy{fGSKC(`RQ)?x1~-?qYsMgoR0g zjmFkGl|G(#069R$zbk76QKlK`Gij{n2E<&Lu1{W?fl4z4GZ#n9wiZnlM=>_;-kW0G zO3>s{)v!RnlEeIF{Y|xPtq8?ZIsg=uT z@r&+CH1BMiaxFjD6+X$e5^tp?@`SkwOQG_SV1|}GpR(!w%pl$~IQ|Q8 zr#vnN#Z|eVtIE+L^8)6RWs9!GrwPVouX44uFsZ_=He>YD%N!=Z^;3%>+TudZsN7<; zr~9@>IGZ(=ETSlr+{G?oh=?Pk_{kXblLM_qpgU+2@{CfI(nXX68T#cCbcnpUquYvo zfVPw~ika|2^LDaDwiA5l#*r3@*+c+%sIwi z)Q5NWh8GIW3$g`1V#TQHsOR#v3%!maC>m|QXZS(a_Wg|s44{^4KXkr1F`G5BOQ7=m zVzVK%?}15dE@g!nK2tq;?qb4e&~u#}(-Q#JqR zKh!{MXY3y*f(fg@f#Ptg>a)BVG*l57?17bB;=m_f3}K4}gblTbT6|We_z2Xu7Q-U8 zJAs};g{o(~)rwIavT^c7HR3DVBKQRTNRmJtsz2f5(NV>b!RT4$-46Q^rYBg0pI}c5 zu+Jom^phzi&s||H(GOUZK|k%@(t+s45G5NFh8M&x^Mel*)uNcj<%k{_%9yD)e?lRujdn+M(lDvFFQ+!GFlRW z8@OCq7?>CGLcxpK8O;?rgFqy713e%d{Zb~K${fyEcmc?8WrVV%e3`LJ$?Wn+fy#Bl zFv_@2IBJ)WU0!rm*if8|Q8V*WU15yq2i*?TO331fvwlUQY)zIixI*|7fkuqH)4791Gym@S;(BRu_rKIA@&rac?cpz#O*tl%3c^R zWOD)?VzF62|Jj>22E3}meB9(^n^$LvZdTvi7dzN->Wg)g-?!SKVOD%wQ$04z%Qw&$ z-`BhsWYV4kqntGEFgp?Rs3sa3Rxi``>5>~sb|UT_k?@ME58B`KGbWo?-4I2(cEpN< zRydSU*z=?TrI}cP0+oUTFmm$EN`8gd|6S_{b25FBMlo z0xG0*vB_LZVf_nkv*RuNI3WMgB1p%O9VZHi>sb(tfFW8^NcxjXp+FAvFvbZ2T~S2@ zW9MA(H&5{JP$nYmM;J)xTm_Tq_*kAG3@c_ z>!ww2ASfuUYUVJJJvwR?lBkHcfbFcKP!FiEx_U}{=_@_fnWv5=m4Du*&?PyJboOWh zW{C(KTPXuQ+jI5grJ9)?)s{xJyn6bxW?e7yi?UqDp_DBix{}Dx5SsJTKV&hNAm9!T zQQe@>B*scDm^Hl7q{jt{rUW=4^blJQ2;T^%L+5}Zjq}N79@=CK!`a9>*i!!UP0XBsdgm^9gUtaeC}pX zRy?%%?lN=(c33bGYHAz>3?$QORexpQj~}jjAy01}%J|loJ?xoQ+3&nhnRSNgQHpUa zMp5OHsDGA4BJS=uS!V=$-ie)HBuEaaU#aw9IHb0ElYDk?X-4JJq{XD4%aS0YM0>1{ z_eEZHJAt2K%=&3}mgF#NCLYm=HOZl4S(#LLx8bNwTBhm7{7~2|Xh&%a8<3qi^L~pPsPt_R4I5Zy9=dQG!55 z;F5S^GRa;+cn8LHGPj1{27PY(8U2fmR3!&y?}EK38CzZDi5w0vAY*HRKW{v`YCL(N zac-gF%j;UE2V6YeO-bX**E+a8`gqm>3{|1wt^1uG`j@>JEI0<~?W^MbeV5+vs%?)R z$VPsYHis!h<))Uz!OCepRgK@5RjZO=D}j9*L}v3urDUQx+RGBXBC|2;Q1(1K=<=<) zY+xRs-is;)s^~j&Cg;2o zA8tLip!%CxU52E&<4SO^CqKPfh8JB!fo?rEmx>iG%_SD>2{Zr8eCJWTXB7R7`42AU zAKbmca}h>%h zJu%e?pReJKH6W2g30M5rr}{&U*o#y;YhA;i)$pII5ll6v#7DtPZOCS1{f$2)f~nlZ zuW({@O;7x`XD{R}3DU0eew~l0%o5(Vhrt(7K;SjcdS63GrYq#`+%(kqKbMoAr9Xv? zE-O1jpX93;tl=JT88PZ=cNRsA+#n=bJtVr&( z((JDk3!qox81Cu=tiv;fVVAG#`wMD*x**=S#rP90whdn#PItLxp&{qD_a9 zorofJF({*)Z!vAL#EziU!HJFgTHmzCc;0LW?ggPrv?)KP4#8q1@(tMI}_lP#lY1<-}C!8GY*x6l9@Yq5eLuHPFiaXIi)>19`ZDE@sSHkhINxj-Kaw|H zPe7ZZd8Ac(H87uEV%=)T*9&4pXr#}}t{B(r;C;Q?$(uvlUJA2o6pXC@eTb16v5i%{ z2sp{t3TA^9nEx$S8}F{fqh`w5;AKG^!m5QxLl=?sxpjZyCGBON3VQSqVw11tT$s!{ zdQ~V4lQ5ymB_Seo3;E@tVCdRqK|c#ZUcloRl(VH31XsH(%d4U;bOOTJ2iCWLRUaW! zWUibc5{7FW9TF>}_3gnCS01D*=0Z?gFRygYDxeG}SCB?Y<^*53*iRy*Ea{5=R56iI z=0pGVP5r2%n4k#-QIx?z{{p9Z6whh~Q%#i`t%X_8AC@Xqj#ZP4*p*-4ScsBY)zB#( z_#UfHF5YTC{q{HnkDtOu?f zRz*eJYY7tzI2ArN7>q4*VsBP0Q`G{AYleok?jNX)YG$S}QIWrZPN%9x-FU1UjCEC(!ChT(|B_HW4>bcHvI@T9^H_Y z2Vua3kzWL^6G!u!(X6KD2yV0za#nPC8wDPr$#`Bd9xF-+<{&(gl7S$C(6O(cu9%D! zQ)hCX(D^A%7D4g?pBL=tZmcV(W97`K9O`9>c|DK8g+Uamp{BZSHZEw_s4Kt;&Y^DT znm%j>ei-vs_zP%aVg?v>u}SlxdXilt|eT;TPbgs_u=uv^!K+N_=~$ ztL{DB7yOgUJn}!d6YUys4D&!Z`8%8oXK)(6~n_x zzGZsK&Vnd*1oz^z4xb{j#MQ`PL{UFNXRGVVfpqbi!i{(%%nLgw75@#-k3GvQsK55G zU|02$IP;14lz4th=rSfw7K~<3yGbNasQ&f80*yivi$hoFH~Fe#%KORgP}W9U9tanJ zGqx>N*p>jtIH8N}aN)(u+`y_L%;3{+VB$5)k_G6z<3rSA#v0Yt)7LGd1JPH5i1@$o zwZT%k1D3FViu1e#5!#r7*TR`kZ1aMCs`I;Wdvm)uj!yggfYSz4)$3z!x zF)!r%3vNA7#>Al|w@ZwTk=gT7$s)|ei(&$g&kL+FNpU}Q9OWWDIc3(VuH;Px+gvjn z8%(Hx*w~&mM2t`yE;#w~CShuMlBTTKP!+w)9|eVeRw(cn2{%qApFY%*|Ipso=lqa6 z`|hC2gbT@j;Aw8sGm}Q}oKl!9Vj8Rot*4cJc>21L=0-A+w}=Dg3zocuISk(;{=3Z& z7t_mfJS?F@@M)VK0`0Qyi8&`pu5_7%V~f-~H7}vp;^#A)zAxNF-ddpVpNMeQ^{{iG zNM9DCv``@otTmD7Mg!)uSO)3kbJ`H;f(@%^shiKsG3=U-ZmzXD^DRd`=~Ok80w}vi zDdusas`P+4JjtWQoKP4n_}CoyRtcLHd?>hgO{M(N@(ny|4|@Y-itoQJ_BV_0i6oaO zOoit?l)?}G1Fd_I&yrYlrz?fPxa+<*)~u_gcSFf7C5 z@-ypS`GYralx=Bu=TiYAq&SM<*KSreb5Zc+>ut5%*t>VbcUyk7KiVz6ITZ>Sw>+Hs zs+Ba6PO;gjgui^!qJ75j%UT?K-yVoP^v*i&MQ4``!9}NEJe<3H)$?J*U1U_#AW?LS z$MM*yPwW%KlykD$6m6P~383}=Hdt$7} zTMVy#B*5=%^x(44kLbnoq5_{l&a3=3`D|Ch+^Ai z%?4bRUK5IP04wp3ulwOg@m%&)=F@-YkA82@+3}E~I&f-PfqYKPTP3m>m%VKQ3p;(%!75f9W zgv5gA9BAx}7_EMEvp4bZl(}T?q_dAiNaiUZx|?CDlcqU5>e z=HH~3U&Jqsm#>G?HVlLjJR_C#xB3-5Q}(hR?2MDaRa=Bzy6VpJt*3N1lh!>e9`m3x z`>9QfRf35!xir+z)+T59Zf$CE&7af@~HW3Kl2>h)Y42D137{m<+< zFT9K15SL52(qT*II~r=tyBECJy)@9>^R0M7sbNN2dd7)UOKeQcoOBpm&&-r$P!ddB8E-vP3VFF5|$7cZ~> z&}E>O>cFt`!7$JfbZpyKZY$ZVnD5`(YoBkOF3X;7eZ;fLWpl5oubF{Ia)xS$V%y^b9iO`h zM!_RJbmGA`_EXqadR<22t< z7_kPmbFUptScGv#BoRftMSy0MSgEr+L+aFfpA?e+Wu6o39>=kjIiy0Tr08bs zU_!!B?$w+)WC+>;dk%p}hdzsoJY5B1wirn%&$;LOx5*<<2r_O)Sc&2RwZmoq&<#vv zZ(TNsR$Z!xj80ua87njwp@1b3oz*|JVen>D6p6Ca?I0Vv!=b|`0m(a`Qdg8aU5Soj z0VeBaLU(jkdF;o8k*tbwFuZzW4`V*S(kmS0MWmL{ZF{I{uvd>f38ce(rjhwV-$I`% zX5CUnZ_dVy^3^eRvP^uMQ-*S>d*+HBC&Z=HswLkT6HZDX9?0~Q$q!;vXgcDXoFx=9 zKeKRNapv3lWX=SmQ(TA98jNtDM$1%m12TG%9s>}VlQpvbZ|3b;t&|V(vSbFY zqjo4Ba`qVdDARoL`Flri>f^Q$KM5w_s5A9Rmtb2y9i3_f3;9g}Y+hDU` zs_V~e=7$e?E38Uu;!$c4SHQd0aizO1sXcV+U#D5F2F0|2sYsRmGyAyWtG>i7PennR zTXPf`qyt5INF=J$1m_M7-@~#x)BLRLWmWT%SvCNC7v8I7QX$*&YTb$6|`jkqEY|dINkVi zwUaEqeC=Z-24U;(F&TxP4ax8;7i<_7COW~+G^@?rD;ye*ZhXXS3~Bep%6V3SKPp%KMdtTTAqPJV*m=;);g5D#6D1(TbRA_5Igtjgx!ThWScK5 zF`qUSPA05SsmM&ET7*=e)l0RdoD0XyJ;O9OE1bupOSVm@Z93pIVwExa09(hrDjM*0 z16-RLnc0eMrc=fuB-}>}DcRS%YUuFb4EdRTUlN-fo9tK+oM4BU(?)ez#Ppr@H)cQ) zdz{I1wi*3CHhjL-xq>9DR)ek6%C!mCet{*yWFwqtosd1?!@FyrxRo#mkbS6+R45o! zpQxC6Q6(6>br7$36*;F^LZpej!;&>gW=^6><_9jhH9D2A4`rjk0mKWFN0N}e&#Se# zv_pmha3muV#U)8U77$mGWcC}T03sAAA$Wvhq9`i2hC;~Mb@lXHfnnk8X?^V8_fP*| z#eg!`Ct}6a1l%q}V*xv`74=Gf0PGKA1Idl|Y(7+8P(pMUda zQ%MxWx@gO-#z~envnJ%2B(^JYsxiBLEpBc2;B1PVr!Uvr=HUTbTHvF=Y2*5i8`&n_ zoaipt4CKO??ts6t6+~p~Y+MG_GfZW>fvmczJ$hKMmOHP-lQ2J{60{o#wN!#~5!ni^ zP^x&W0?tG}`mnmH%a>4#PU_NC2tqcj6saA|8^pSULOj+A$pO~#{8=qmw+Yj3*5*a^ zK=qhYY}C%4;|#G)GF3$!z9%RU$;ch(M*Z-GMl;A*+p|hW$A31s@f@M zRG}|UT)HggX`cylda zL$hKfo34bxOf|iWVc(prNUdRc_BZMVw-=z%-AGA@%dPvm&FAI`+mjV3`EX;(*0|M3 z?g3Rfd11?llz_N=(4AEdhtYb^&r_&drmL+zfN5VaD||slLM33X!1qs}NiMY>?^PQ? zsHBX3oT)uRO1Ua?iDsSm!tg^SB(4a?yuRK`Ztn+M9D?@Ww6|3WwMm_)&QJWEwOYw{ zL>J{NKm9n)L;1ht->jAD--@i*RQ3H>=lA=)byDA->U+^Wbm`yIx7OeNqc?AkHJvY1 zD3LRKAh^Fy6tISB$=vPs^6cC%!>;p!!}i zF7fS(F{SSyfY@D~rib}lsGyykVe<53*u&CN_n%#TA|B81nD+~Nz`btS{o@>oTu^N3 zJ`oUvCPE8*7aVUn*2-rerFr>*zaD$K&=O>nph3r{Uo+tYF>)v9Gv6fZ(f`8(S%PWt z>Qcr1tBcx40@FG3?tv~@V>3hY21e1kHb`eCX~O12Oav7kp#X9Pq`ixMwh*T65 zccS9FPWZ+o3Zc;iGhr=!7cFpSbxsu%S_uZM+}GfY1aQkMz0TBN*)h&*C)L#-SX|R{P5`IFX&Pg^SXI z3=%FQg3SqYuUFZBAKzx(j`X7U#hs$dCD=`x80Gwe<5xm%q`DZ% z#vlvJG4utfjOc+p$5?=b9w84e!ler+A>_*_Lp?M_w}ve3t~| z-H>RxWeLpwr953AZGlg8pmxuz?wSes5eW!UbX_h{6udyh;jPLA0)FBPcu>rlYVR1cnIHA!1Am%^R(jC=bJRd8gx{*L3h^w4S=k(a(++ zAHsQI+MqvsnC`q4wcldU5W}JJJN=;Zxh?6f(6+j;Z%;%i&i8v>M1O9#eSIk3IX*Zg z=oddJ)u`K9f@bpj=xg-TQVmsKO@A+a&3+#;0KMV&Fk6Ig{i!AE zul>QBH$){+Z;j($`n7>)j{0T%OaG!1Ml|*PT5ez^pN+~n7(;uay9JRGI(uJM>m1u6 zfmR~-opWN2%cjoPc72yuL`!vv6+6Bx1irN`cs0C*DzG3xhUZFpLcWO|ifT!qwu10{ z(CyzQba#>vZ=vP|*VKsG$op^t<`MHl$PwA7T@j2w5js&wAe7_!tb9oW_nMC4?7RmV zc2rQCzRVVk$%^qEy~K2KtK5J<3QeZz?K$RF*O31Ra8gbZqbG6HO?~qI;hI|H)qtAkgH|R@qr% z;^EMn>RudGN(G3MU4O^8H$IWVgzY==ri`vJIlNF_;h;dQ${!*e|ypE!pB(!N`j_TBRQ@R>2wIaDH^R#fnM*zSBRyC?jy(8{24Nkml%)VgF71q{q{0T3(5MF$9Ese=7k)2ZspOZ{^n+)c_Js19d6?^u%I9cB4pLe5m@p1m( zE)hqJkC6_9R%Gr_6KvGI>`uhGd}eNv*DTjp%~mRSm7(g+{{&OwL?_8h$P4WbP}`@x zvAmaICF0Ef)J}Z+Z`uS{_N)%-v`V+PeE;<44exN6fOOBGUlequphVKKXuG#}wN@tyJDWCiiqhsf!>d}n~qX|GwVjJ(1Yp5Ke( ziMX%dYCX9wij~61!9@L}K!-+rJhkUyghq-4u@R>~vqBA4)%6ubSn17M*i*`g| z^W8X2bYD^{$c)6X=DDxZy$t96!Rt^_z71cry6?@7`N8fc!j=7&F(+9Yh25Ml0;Jg zt~(GApEyuxndr;df#3oyGcu3;>&C;^Z&~T>wHheY%+T01BkmR}=#nQD?V|ugGyj>@ z>OL!j`vNu`9S$G+WlwGSGyB8RktAWPlmK=sHtzj(1|@1kfw^d3y_0*hWpUk^&%~K7 zw+k4g&xOPc`+dfgWU8CK6;4}i;EI7o@B3VwyE4xR6uVk5*`=tkledl=gXqL5f`~_| z3;*LEym@oXJ4eDQ50VW-E>|6iT^IB-SknY?U)T3IKX9UsUv7$mia@g}EJ9KZfZ&gWEmA=^ItNz4BS+}Dx1Z9NBOKs;>v2BVQwQ&HM4cy>EHTmrh?cMjHE%I4<|Z_ zN-kGfj(m*ZANKp6ZWgSanmU|kQz^UPprdsP!DK++|&#I2~E zyyz# zvarer9_|nB}Tpe<+3S@quJ$$k`8MV<;0vplg~zvNvgfiC38;R93*6=VTRE;pC8EP$RwUV zCm!Y`J|`dsH#mWG51c4x5Mxy1+0sCDA&qr$zz*WPr|~9GC+Z>Hn8HHdGa2Hw1ye|1 ze-yWxhw_e?z7ze_)y2!|E;pue**El;AQ~(?yDW-*t1g&$(lK#NGh_Chcmq#lJyY&z zw(ily5i$$unlXipT{B$jY>M8T-B^vjxnffPf+=IS=RBEuPXF(4nZZKsl$s<-2?T3q5jOGj>`*`4ztJ9)UlC~}$g?v@q^IVxR`awK$C$h04prTaY zu_EN2r|$SxtvE4YrD9ixYE22&EAuYznaYb3LuVEcE-&OGxni>nxjt9o*wM+4+p=i( zg~5!Iz|>Td*i2R&L){9J$26MDCQYRl;VJKn!VnN+28|WN*dK`GR^VcdPG8Mmrn}u1 z#8rOX4C1dP_v=DlFyv5L=0*3&2JYxAInmEtB|-0N=4ffLc6ZD$W9P?Jx!NgM*g`Ti zVin1BRQ+KTzNzDP;@dot_2%6+B)ToJ_KO4K4%qO4;j@orF`q_-CppYE>6dds$^4h6 zb1p4o$0uIMCd_9cIqRi`iy6%Vb8*dNk$<0dqA$(|u~zWL8gp?bFtRphD?bb8B6EvJ za!&I?yuHD6E=u#n$)YQ!Jkx9WIzJzai{;bN?S@<<&mS&CWxh5gdTn3ebk#U7<(h6r z!gyFG2V(~m9<88wkmrJG^DNUibCzO zvOZ_)KTA2|yLz?jt5PQB%f4*(Y8W{DDzvO4sOk)`=FzG0Qr_oP$Lw#))>3q#8DbXHNw?Y^O2r~9+Q2rFIJo`= zhd7^-6;;5WnF5v~WXLIT!l^#elGc+fDLWPQnIwrfiu6F@KC9YM=+t}WQ=4xG(i(&X z>Os-0c1Nw%wi0MB9+`YhKnKpc9VlP3afCBjx;=^uQJOb!F%&H1c-BCq&!fW%GDkEp znmi}iibvtZmc?KjW6^d3y!nCgDE*z-pB;Ez3}E#B2!0tRXH=PpHqc z%^Oa&c}X@8D0eC!t2%ER%*LH$HCn-_mlnA>V*jn~=A!0#7Yo{0`g`V8J#m*(E$yg< zb64!Q1Vw~-nfHeqyu!Ml$(QF3G4y==xtMy9)Gmhr7HWDZeto0ZcdQY|7+$AN?seRwjR?2BR9&1C!{>eZ0=8Xyf z(4he;4xnz-#l%Y7c!$6webG?1ZC_aTyP8-Odlf2xPfo=%SwVQN_N9b{?|4Hhf#vNP zOynSEe`C+}vPeSv1w0^f&Nw0JQ=#1a>@SF8xx`^#b=qKR?Ssx5uaoEk3J-Ao47ZbWJa4ASNL{6hh?kE^oV6G6>7$t~|=z zNEk&v^^R|)I0iAo9Mi`f>xEhgKVqRMq_44~9RZ*|Cv-KGox0lG5)1-JEHPyHeMW~4 z$V~VQjd~5`nD=J0+55n%NsO(jtTexFb>Mp0N;o|4;jCSKIxz>VDE8-9Zk8h*zRSBJ zjoZ3BZvWUG|I_aN_y@>AI&LSq&1{8?2g~hkUsfHDrfu<|shd#>lxQ9#>lf4I#N#V{2TmXQX{s?VDi8c8kv|anWe%T3CEz zBK7iCiQm?6E!8JpEqY z+D8hW+Ri7w$$@-)SvF-8#%6x%5BZD|c60Vc97-EHf(riEtr-~Sal;JH=NT1W9lLeS zYa*R3_@fUhdHROdL#g6wv#WCRu_u&zK9{Lq{tK@SfP_#o`ms=$#2<`)v|!?U3`Xdf zuAn#&;ROt8M~;bAP*uaNEnSJ6DbAj8RC2fB2U+B1p#@W(p0Aa7Y0zhjQiK&+KM)6R z1-q=S#Ifj-z8Hq~p@6DewNOZnMkFlBXeF{>&cmLpO6(1Mc#?pMyOM)1bFuvd@_P;0 z9t;SBS~{mjdYq zt)%X`8gQ=65oX3@YD{Mga-I`QE#~=+1yJxk;r$MMS02w=v*)!3A$m%7q@oQcI&?i! z%jVQFP$LR1^maK26*lj(*vh>^c^a`JMI$doCC4c~Q1fDw9Fgoimq9q|5+ZhxjYQA= zCHp`c24rCjGnkX|Kq_)FBHtd@x!oU6Rlj9a>?PlnH|{>)P2CFIIW6CkyxFc(RM@rF z7bCkdmt$b+#rOhCrEON2#NhJb{9(bJVrVahNNhVv@;*-2x|SqrgInJ!ukxj2b(jR# zh`ygwi-=3YfJNwX+=AqZl&2;5%$xp~7VtzgofE}kP+)sF5A01ve*^+1wf< zjsg+QJOE<$?yp3744Mt+)UhxW#9n>=W4o(`EEM7Da)z$Oc?!ez<|MH^Jc;ny)m*$? zQ}5;8lrkbl=JD2ij~9cASgeUEzOl2>oVZ5-9mXI^Z{=B`gLyZbX!Gy!GR~jV!D=CV z3eOpyQpL9Cy5;R^&y)q;yZKr+gp=yQrSwk;iRY~Zxy7XJzV}Qs{!i4*(qb}t-v@!a zvQk>%JtTGAs8em+h^~cfa$LXQ5aA{>X5Wx?P&V{r!f8eYV^h4i5+;(_oFrB+QF%fK zYAwa0tSX8JK3#7x*Yay*f1Q)X`X#JZ1hU-@l~Ajw&DiBj-VR9Hb23<{;GnNg9YWXg z7+cl-YUjvP>2zIt%|#=W*r14Y3jX<6T20v>PCN2Xh%0dWiG#+XGNOkKN?4>|8!V#x zUEVPX1B&-FC=Y};;%8g(Ak9X6IWIaMXhzw`Y9)>p7F5$iD=wGq4W+`6AWdX0fj$xG zV}jEUT2O!7R=shM8S{AKDpT3Xmkr9?L}r{k z+jB|r35_aIw40u|0tI3Dmqpi}pWQ#kP-BA%R))_+C4_&Z+kiyP!+@#;>GiFEGQWIW zVsX#K@jRY%LnBd6oH2ry-fqSJX^Q%H48IDTAL=N~~XxJB*)Z|7s^c_Ten z+}rGe*-&{&%u5IC+GjA_g2WpwU{`$lv!=a!`tz#l#k}UnU4F+FHkb$60rYikjnTVw z1Pigo(1vILP%lopjZ(S&TmQ=#XMQSIV^Y)+uDOLVfjRyavk5IFc+>K@?>F*JS5?#n z4vw5M0v>7!X7QSNvFi0!ZiQicQGn=0CLa7&NL*WO=&5UVYE}FlEzb}|EoRb*)nmqi z@U(Mk6U?kdbOyq_6x7xm`b@5{PHU60Q5xDNolcm4<9Qi5-!1xBn2p2eXq`O*f@7KklUhzJCg&$8n?7kJ>0b${v8iH(#O6AC_ zK-2L$y3m;1k{`NVq6mZ3B+2F?`2=Uj!u`Yvef~>;Q2sYvMED_GWS>}kIn1#(Fc2^> zW;U)cUHC%{KOqfCS{Hmm7#MsNFFe#^KJa{9Gg~Ut!$nd$B;hb&SpuFfQntk(0{mc6 z9I^JD&`TmGN!Usd>VFf~a9KTBgwjaziB<3k^*z{>rK!gheQZAnSU8YkpWE^wlko%~ zWfjb_Rd#vnM469{#R)qRMCdanh<|@-`|MvP{fa@wDv0U2E;*Rcj}kQGu^@BI2_Hhu zIghmhX$hSxnS`*EgCvKl;KxCjvUDb$^Yj?VJC_vHzkareKe51ZoL0FL#R=iDr5)7C zq>B;jL@b<1F9NAS9}FlBFi@cI_)Pue$t(%S$61OM$Jvn2Y6@4AEiablfRf0d|e5|!0Dshhwq z43$93YAKBBGcYQFi)m1I@TQY?+U)zHqC*Z}yS&TWq)u-**Yeuq;6 z7Qq+&Vt?Su&sXz^|C-1>y zVjmHaq`^_S9&CRz-l5G!AbxZKOU6yDR9@EAb?^M7UsX9~i>0FIg5Ig@I-&_~ck(7* z@%Z@(N?3_BmwFDgFe*jNk!7$-a@OO2r&GzJok;!3=qN#l8Lh{#T-`S%k9OXG1cP(N z0eWwJe{r^(RAq_af0^X-x~t1==X8QL%#tI9x18)KmqyOEUT^5k@R;|PAgoeg0RV#m4-N(jdp)xMh4c4 z#ZUflh7wR7_m|4W)I(9$JQ0c@r5D(7@Wxt|m&y>`E1Ic;A|u4SQ@-n~q9M%ByrJT7 z68lh9`TyQvvBF})h6U@Jt~5HHS(5D@q0Y2engubL8e)g-iCk73(W@$N`j#N!IFMs! zlVd$L{o%|J9EL{8SVtj~hBz+I40_0+P<2rPdsZmvNqBG+5^!?t#6w65N~RFv2(nip&k)~Y zigmkg^R_?cLm{4y)X+2biiJ=^k*il2A#~<>!H6l7B(59u`?ZY&nTLUtawS8H{4bDO zicf7`L^-PspR;o!p%3K(N4OUFs@aU&04zUV(lmvz)tB>Ju3-boq#_BkFnTbA=IANc zr80Ib<}n&(qN{M3uju=SErIXsoue??zzrVupceDU#f+oclFmVSwXSU@29!H*f?M+T zOcK06kB+Q=8Pa^lwxlAI3f{Be&oeJ*^DS?HRyc4ZY{H8*z_xQBRw(Z$>W$=Vg;9+v z_*d#UDH9H^rIshqzOSkkPqhf^_VKl-?tFYL-d(@4Rx;IM2F9V*<0Fp66WyTHvzmHJ z$Xh;GKHF^kdUhJMk{`s*^y3-xZ~lxfXHY)s2~x_rf|N3oR!oU_17=JH}(a)%ioAv9{KBg)JBQaV1H;G6}S$H}N~?FXF((2QWF&3>+Dq*+?(^F#~MzLkz zVbTPF#VC~0Nu5E-?7IE7d-qH^CWBH#jKvMM?OO%`GIzZ$B+m1aZ4L)V_Ix4PEl~)Q z;OQoxDM@5VgJaK>;vuAZ7CuvGCKL3NX3~wOXmJW$2+Uv3j|zNH^*SWJo#5aN$y#kX zvp)`f|M&i?USAAb{AJ5?(2&$^v8AGFK53GUmVH@2)zDe$$jr}+n*T>S<;KX zJnoz}KeeS~?ak@;3T-5ZI$8>5EaZ!6aQg<@ZUHR}`o*zcGZ|8CpUa2xXg}_1oC{w< zTgNA-0vV`9M|)S4e9P#uMV8oG1R~IP?y7uU9?HgszIv>g%(}F9(Da!Q<&ZnOvZ>Gg zzN9)|qd{WQmwc|t_t=`roE$$M@~-V6{y6*j1G>G>cMP3Tp3GaQN!ZMwG(ve4wCFZh z0EO)i{m)4QV=L|Mu}8DK6LFpVxWeFgvmOwZM;i2`ZsCAis3x zW$js6g|^t_@5?)zzG~?N9O&eWQYOI!Mt;FJ{L$h#jfV90!_4?Z88m3 zONrjuyPn;9=nGgUNBe!rM>w-iamN5jK(@aW?1e(UB#r~@l6Ag>X@tYFDk&8GtipaL zS6nz3I?9V97`b4Co&Yq6e=vnRHM(L4rdQ0K4LgMhVD#JFV(>?`ipVSoL2(o)U2K?) zUF9`6Vec^PHO0ZMcPO(L$rVv(`!$6~BepgH3qKew&je7XDCtgW)=6%U_h`kw>`=x}PYs?Skw!F`~ zaW1?3Vv{Jk4jNxhC}VZ@s2AETpMkZJW%%NKc~sh_>Zu9OER&hC5W zQoW-xDOP@QD%%>Swa)lHIv5hanGWXEr~9^Kf_wGV+m_ODDjL}Ohhj~jl)MwKK&&-e z2dLXH*^6aUc4v#(aCC|p>=FB%D))(-kBW5=Hp|YT+%oFEVThrmae!*hf!gbGO?U3k z#?LiB3UJKX&Y7z{KUiiK9W->x4@H$vF*h6D4%NS0Nk-CL(a>d!Nw@5L%Md}Fl*Rdo zCK*m5J}mpQJl#QS=N+kUkd{!RrdEDk1yO{QgFkdS^sp`LcLv1wVWszH-kxR#6}~bt zx)Tfmzb1qmW}Ou$60%2ZLvUb-C9rm8?i7>3T^dy4UMSKHaa%SOsVbM^ zV~y!r;%AY9Ay2kEm>f&%|KKZReH;?`HpR9_Q`))K9p%QAlLh?Oho zUe5HVEgl8-TRu9yGrw2VEqea9ykD@5j$i>p*$`ZD{8&kL6FzeqExho_8q!f36vrf& zKbR&F>>HCLFBA{O1K(!yUmOT`&$Zqa57;+`Jf}abt@7@yO)Ce>9&L5v4*A1~9U#S@ z+auJIF#wfpQ}vtaRmX&yKfEb*NzW6S_!vf8G!}U?{ljVVJ~=P-6?JRUzCTNH*B?y! zl&|P}0g}1+QH_N8Uh;#fit7-~6tdQoZMrNmjATw&Jm1@5Wos*BnYa6*TQbXn(FCI@ zWplRWew|^7IMBKEy;b}jvi=UO*zd*$t^ez1KM^MQgo_;t%64Evf@eg&j)@?=+Twgk z{n!cBwnbdH2?RV~xiop_jF{QkB0)`WhWwoo7Tc^pfMTZ$0xZVbM^hn`qc;hGz`f^C zu{}Y>HpyL~f4f3ALH|d9@o_{3_P2LQXhI%GFJk*`=+3df<3)-u2}iD1n}X@~F2{EX zh@P+>0oDiTZ{HOVaW5b;onS%EM(AF4?Ek^6505f~3jiGe`~}~J7WBnj(5PPciT3!i z@&>1y@+q0#RchyR`G0>Agw{G|UnByo<8xz9uc4Cb(|M?+*n_Q$YUO-ioqPJ)H+>7O zRcP`5P{g-XZXbKuKYhiBf2fV;c>x-}Q2pxG-oxe~6fIpQv6w#B-9jnXl2~&bU%Ofo zP&ITw_?-QDsEs199{EgnV7eu6Ppazzeu4t|W+SPc8xGni14<9N5ObUIz~u!mA;U1T znwW6oxIP!2TFXW*LhYuYlj{YaK36R(KB2Hm%R-y6*)ddc{?AYZT`%=f3SzyF#s z5&Q4|fwOvKn&-hiNSc2zO8>_r(6I78nA{GO*MWL^l7+t3AFx@iFzn&w3hL-;ZEuu& zKt%U}P#zWNcK}VjT$QI>(A1MIe*yeiQFmx7sC@~%-~V?zn(-xc%do}`tSP7bOw2~@6pZI^AiZff!9JfXBI zBuVF4$Wt#%d}*aOg#M9!aPT!v|LUu^q}cj@f2!U0DrG__xd5`v*n}mS7Pc|(<{lvzkAbHW6=zr$;})Ds zwJ0-pRZo#hZX_*8F9{jFN)}#9M0eNB%8+q4i+z1K#KccCt6%QMv5bsq6lU2TLT>Wm zY(Kv0$(TH0;)J;!XL4}G@w538yi0<^!IjGP%iQ5cGKN^uGE-JW(FK8j>GzopJaob# z1#>|xPn*t-Yn6~7RKavA8F*ctCAapN)0tjwH5iy`@Rn#3LxfDauN&*-t2#*puAPi1t_uRF8;WnLWdS=*$Nja0;md;{|w zCTf*G2;!~|zV{>>_MDcB9VVI6^5St~ZxEB)ekMX-_W4Ca%QW{>9$_u#Hks{P>df|EX~8=#AJ63 z&BT(fJ(f6vb92WrUBeh>&QTuI_bLG7a8Qm0I#GF55*+qO?PpWTEiBeD+JQZ*9a^9@ z?d!W^xyN7Y>4WrEP-^m~-Ia`2Q*>By%LS>&#l)jBJ{*3k1UNDLHZ?Eq%O)dAVg#K; z#VCxrQw^fFK9-eWv9cPzB?E+z`bP2S*R|qN+3PyW}x_x1R@dQqDF{#)~RRiC%VWA%Ub-~8Q+>gLbC#m^R$ z4~#3vQCV)Wy)@3L*W!%5fd9b^o$99l?mxu`Ye+gl-!?wd$$#wX>CfMHvS9X{viDqp z#i7KGG5lcZv{vE?08M!KZ`JqmJHBDn0-SNqmGQMb{b^~xte3>mxg~MdsBN3Qt_nq% z%XJCf^(R7=GRi{#CFO=v7QyO1djH_{vC$6!@Bfi|5K*v?MQd!Bu>R!gblNJoW$JIa zp<89!_y33w^XyHl z$kVNXks~eoslK=5;(y+)jf~*BW9obB@bnvAu$h~cEQ^c1>g%Je_Va0jXBto(L$zi4 z{rxz$9?LD?oqi-0mB@%r+3hVcz1SYC2i_aCY4hAZOYJEk6~)n0FDOZ}q{GI@F1OYDqn6HmWYRi{t;@er0x17BGx z^UDXPdD<7-rljxO{>M&-w(y^RC!0-SdkfxbtR?Bq5_vhzKx{bFywoptb?@gr<5`|Z5LFueN0sC(6avw+l}kLR5Q&&+Y z{O9T0$7TNgSKoc(JbjBXeD~D>D_Q5ep>x`r0b@UkkMra?A1~OC>x@2s4FagQ|l+G-hpX}?{;?uAimA9jyU1Y2{zbW+D%Bnlp7;oUjQZElC5 zH^jXTNw)J<>PB(g<3H}YaKdPy?FnsvrD%hMy`5-#9*IY}vZ%;9G8go^R@VIZF-Gy37jbv}sEfET+1`N);dcZ&L4W}+8JUkOd&h8{@! zVYUbpyD6}BRYM~&8`;HyZiLSZW;^lCcE0pg2(!_E^gRr%zb9|DRcGsMuEr5ek6qqX z@anc}>WcpCjoosubT+&QZ`L}w7+<3snqD1I4S}giwch8bLzDG;+4S~)1 zRF93f-(tsne5`1_(6F|u!ebimu-n;$bk{kaTe)l6RD4)J5ekZa&Gf4X9q)_8X}}-5 zJ>w)g$d9=%bm-9jK|0H8BbdL_4!Vec)lmE8c+CPI_>E-{dt+n518h5SK}0J%H^_Ho20^zp6B{lS7o<@X7`Nfgx-%A z=AZvm*_Vw+zl@jZ+3Z=8m*X+MQceQO>D>w3kWm>^=HKMTE2l5HoHPHOGrq^FRL-8~ z&T|~Q*(I^@v49T`*w(V-oip6FC+htmxbapH1>Pm4>0KaIV+qWh%j}V)iB2vbP2C_N zn$&EBz|@ zkv0G2@Afb34fx4oDhSyXSB9bBP^7#QN(?QMM*P@eHT)#*KKw1#T@KQ~Y0C$GmFOO) z&#l5|g>}8+XD=0n*-{(k~_-7{Am_)ob zDq+a6Sas#9@3dRfy&X#pvoAg?-&NwU zkiKeX`Z{F0Q=&*9tGsW~n z;1G|n5KwP%#U%7-ekjF3LNyt3V@p(vq0wUMJTPleGh`~qdNMd_eu!p&uOQ8NJ4q5g z<9~GSz=!{zxp(=ICfV|YzFYTpH}Xarv0;lhuD+G2`YOxc?olKD0AK@R$pTqKctm)H zhkKMiGBa|?1_{(lkcP*i=tihOtSwkD|!L`X6Z*ddli005DtJ?u>-(LWvihcx@LdM1tYQT^bw>W5B#{E!!wvN+H@FR8rjP=d`PJJ5elU9ACmgBYro zMKlF4mfLRK)&0-91Nq-BK`X`A9i z-FH$)`3ZcqY?*=XPh%Kf)lpY?r85;M=F=mWZ|NwfV}D8B{0Orh7$!3k%Oxm z1ofZzLg!msJGo>ul+P7nihqXOcp?|!KHu6I^%+3Ip$rAo$t#gr+mGT9%|4evKon`) zfStV{%|DZcDN&_Hg$|0@R3Mx3~L+Yl;4x03Ki)iF4wWPC(or>$K+E{<_2U>Aj;mue-<}r?i9O^~&Y%46LuIAri zzmi_ezHJhz1+vHt{AP7ay07EIB`oQV?iGKZz~3OfZO|pDqPCu_K1BOMjiCw(rABUd-n(g*a1Buvv=9C zV7RMMN_$8t5lq0USEP6VD`c~wo?kH4>gXf5qO~{~866Jil@HxHyw|}=69G2-&r@dF z9f@eNt{}}@A}oAZ5WbGqLvG#4!eUsmHseFl_wH>S=jzOpOnc4N$t8veB4?edYc&0o zG4M{MP*k-H0ara|Br5>ztpo*e<7iIp0g_qB6EUNYF#q-Jo1v$%Z^8keifS{`>+R6c(&Vo)Mg2*g`mCg?NoRkF4*5irk->5 z1+`_HgMJwVh5bU~INn)@drW0M7hq=Kw7)r6_))*BwG2RXy708!~b4Gecidd?j2|=*)Nu{Ard58W)qXk>O4U0StbbM&;uR%4LyqGR z0)d(4H1_(Gnf9t(MPq;BaS2(4V^O`nK%3(7G(X#;p>}X72B}=B>qlqZ4*W1hmam`+ zm0D9`J}vi3an{<4$XXb{~4AybNi(_=P2=v5)6%#ID1-F}e*@05C?_To} z_wQodzof*j0b3wlvcc1Cn;8wX7i#8EFS4IhBX#GJKt}B1Dd{T@~tycq@d|)w@u$;lN!#m@C@%W zBqjrEpCBnDl>-Q3?CTkc-=dd+NRQZXUfQsP^?f$GMvjU*H0|hweGz}KkpZ}o-9q#9+(e9hZIlqVFI8YB9QVi-6^R4{8Bimom(T|Ifdna=J zI1qpiKam{1qx;7bm*wNzPj&W6$`vlB?rBB?%~o=xk|QuV7JRMtnv-^Phj~egVG#KU zTv&{fhbDO>w?Q~gxjv8{#bIo)P9!-fiUG;aPO%*d=VN2vak_h|4K6|@*Fti| zvs{dPMeRo7&a|Tj_ z0!Dd}489%{u=Oh3l>@gsO&oOJ}Ia6TI;8Ms)2o^rT(!+6%#N>$2XEaqTbOFRKSz?_f zHCaYO-5j&rOix+}v^%42(I}hmIt;;;$w=dxx7s7KUZQSDGm+te`W)UQhvyubH|^~& zOUy`LFN7!td zi26)ICDre1kuGTwq_NJV_YglCGVy*#J9`TSovdOewW6V=<2|HJVVo;*PO98zc=qI* zdIv!i*)SVWJsRQ5Sr$^adH>PQL*3`bNV92_C2*bLsFeZMiz3w>?)z@6^Z3?((nru~Aa)b6pks9yeH%e?2;j5V zIS1D}Q-8QPa&Q&j`i>4`Td8GDmZUSpE5tESl##?xg4O~%K9i)Ag+2KxwC`D(gaLFZ z4PY`JRr#7-Pr@kW2NYE_S0yEeSf++@L(1-*x}PUa8S=LUeCxKOChC?x=7+bRXy6@j z@f?y#e=&3JRZ;t#^c(7kBj{Eyr~1d{k(D3)R(PLSYdULIpq)Y;dB2uFVKU1F6~DXF z2(A?M_}foM#*Kg#Om?r`R5(L`l2qr;wnhA3O6FI)15lSn2+u!XI?L*`+I4&9ZiRR~M3TVkeYdRhHJF|IhjoTA zDeQZ)Z73gEkHs;gOeDL0?sFcoR9CpaQ<0h9u1b4@C%a|ei*X;|*DI33st z;~A9CjMP$bUc;o&)yLh*x!d-IErDDj*6^|`iXlgWOK2=GQpw5S?3}w|sNz!P63TM` zqwBg>`#sr}clHm5N6uXS@&gEt?0VwKb1GvuGIk#LQg-z1h~1nNeZ&qfab;9#V0j_A zsCTF0EM)+Q*b)}|!hk#?9D2KB7nfP$@G8in1TuJwO<L@ zjy@E&$x3xT>Hkw&ahk1?iDmTfs|wF22%egz;DjFenAuRB;8kGXy;85{%{^JwrHNfqLq#8xi z6}oBo*Ls2ko!9ND*-ZpoE*IM?!M!KE%`(vXj*ww>>(?c^~u@q4hCH0wRIX39}zRP@$t~F8Skr zDjs;@G)HD#jJGsH4D3Fn@Q942`I?>D?*KV3f8tBQhumndR(~FJ%GC_45!)6 zaLH#<2~k_1a)^@-6`Vvs=QgRNj(0`1uMSn4KcNHqdgzfie~an@-9yJlKg5g~Z<;M4 zO*L*w76pc>miQ*hdk9c1cPN^MgT!=3sOgJ-f&hizmB8xIsY>Qo1_*dBVAdO48#7V= z)*t<~d5*=dadsE1CHReD)Y90#tJ-_#32vLX_G8joKe^XBF&$<*eukVTz{{(FaiVDn z7KKLpIC-H*MwlPVWku}ias%fXXpVA2U)Tu-J`JVtbyc3=vvffG7GQ?%eE-s?Fbm<$ zBxuHY#q~I>a^rsF1#onhq9ZHzbf{qy1zH}EuSFclx_;uj8wand9!r07L> zvFP+-(PUKD)mj^X&@kvT2A3!snpZX-ay#bh_9EdHl=N?e%Rb#yvk7+>sj zAU91K9e$+D1t_I_ea#Xt%+BJ?X1eFghU{J{IlQ>klCw!c$;SLLW{(M6eJf2hNcz2v z)?9Wt?s7Z~q*#cH=vu2U%(P_M_UPU@(m4arI$dhu0fpR^Yof&LY(D9HmE3(4vZ*fI zYpZ+KxL{gha&N3wv!R7Ss;{a;&q~aO=Eu_=jk_6sAQ!sXJ=@90B`)A$v1Wgg1}sBN zHiw8)Z;`|r89nr^#B63XyGK2oj<%DrR4@J5K6Ygrb^A64)?fYV(wEOto(RHoCW-(@~5tN%`1Mq1~TTr3>$m#g%4sn zxpx&AByT_2d2X$GuP5g7gWV&@3Ap-ik$j<_Pq75!n1c*@4Lpv0+>rrR0jPRvwGuxu zhDhU!YdSX>InU04LzXkYZBf-V0|a=6R{;q_!S&=^U{4rINoY1)EQKmIJYmA4x1>W1pXu;pc%_URDLzErtewm1I3GKbRB@Jb&uDk?t@MDaL3hvO{+U`I$%4j7VF1^iK%-3Gj0%QX{Fd*7A{$rtWs=~#2 z5qf!05%BM^8Alo`V;HIh80peJ^d*Yte}&@?1(OSw7w#s}JJM4KSO9+*2Q&K7$cRR; zj{&{~i~8ty+Sw2*gE(;A54rV+{VgKimGuSUCT9?mZ0kUWVxZlvqqbm5qbV(l#vJ$$Rl4tbw=rw(9T68aKOG!(=dpY^YOrA-?%;pQ*x8e&Z2 z{6z>M!lue>NPIwmZ&1ocqziLZFq{~5J2W}=@aT_reL3SpI~Z9(zH(+GuvJ7kbJq+M~3-lZ4j4^p&P~qYljUb4zo~vNeY{SsuSPFeFmh ztU*N`EYj7=KB?}2Jlrd(S+xQl*Kh! z!iR|d1F7X>mD!qGrqQKLGI?%dG65}+{S?NZhbJY$^44Hlz3R983>X?g~{ zLUGVvuvkpX3Lb(e81jWaRoIH1HKXdB;4<$=qhh>=B<_oeA3`b?u#}|0H9bT3Stoc@ z|Hx!Y=#Pg0aFv+AfXD|qQ577uaQrw5td11XOG?k_)m8dFwl!qW+FwH27BQekk^VBdWAYQw3X zmch~47eF%GHTIqS_StS;+GT)dr7_xGzWTNHf&?hZTf)lVX6HGJC9gcd<4X_Yeo1 zM|yRm{L!DE?R`T<)9ga@9yJ*+8~u_+&>o#f)eFj&Kv9$fu6lk`u!s6sK}_f9QJ75X zj9E+j?a(+PkQBYV2Y^{kAbxkq$o@cax_346W(n{2GB*a6tq?ATHi=7@?m@H)cl82C z{n;*`NJ6TIR>()E9&y@B>gbqgWRS6zIKo)gpxu+K70H5$3!-CySJPY?ywEgD5SljU z$Ye?SS7}t}GH5n#&-J6qc^|DD7!S+5*;Tk(KOCq-AqYsadCh@cg(6X&i0bMkfR8RW zjuE?M%tj*>`VKDcn7V{cUu<5A_DK3y>77j4!wjuqAbbg=KUMYM=4ad-j^inbYWB>@ z2nD2i{@=em;~YLC8@|as3Ev%fNqbr|0QDgrCNSAS!3bzjXTev;K5Z>doB}`;$jPKl z^sH+kb4f-{>fu`0dsw76DM?{Kpp!hwXkqkU8ZwjR14)g2JgBOcX(w36f_}>6jxl%) zy@$wW?ZapZ`dx=o!JI_J=z#Sez|idC5s$st`*%U97K&tMN-8pN_|cB$7vkvg4i^d+ zu@9DC9PPBrJ5gwX%c0y>wY(D{5tCe|)E#^eA0iP=TiVX?auhQAC4Gtqf7HnL96G$ZSKLg#zp z@ZgWGkpoRN+TgO0G`vfMcu+}Da10*UsD+!E&JQWBwjWYnHX9EcnqePb)xp0ov|G*1wGvj}WM`?QyTjw5J}-3r1p9Ihf3_ z_*I8}a1A&(W=V!4p|y4chmIfMmaB#h>Ay0ZNdlDIj4xItptn66>$dCiV;6(B+Tf)(R?-mA8 z@x-#`qKsh;(e8po9|7=Jd`LK$X~x1mZ*=9NOB;!Yv3fXm1t^!DM_apa$Z1b~Q9ZM> z+^8SCNvBK-OR2WL!!&j>ooT`zaPLRsOdIgHwo6i7vl7bgdss4p;Mm zc^Dk>*yF&91)VL6(HPL5@X%Po3ypPQ1f6NyUR z8$R2;Ajnv_u50lvN;)nsofqfpYXb+Gi2~O*A0<}=Q|fpTV`EMD%4&SSL!V4!a5cms zgSu3!{XGyldzZ+o7SwW+k*gj>q2>#omO!8MRpIuJiePseBL;p^l%-Y%@SJrd{Soq{ zUf>J4u;Oy?)(}x@eb?Y}`0)&ADTmqdTexo#9N03_;2_$df|CkzWk% z@t2)B7yI#d2TUA$U*aO7xlvk(AP6Zf!o=?9G5y(`)`(s;nTO^WFCdvp{TPk_1%uCFVYna!=PDv$Q=(PC+ z(A&WEQV?w6MO+Gd1c1VQTuOMp%(*@6y!1sIPC}XV42bv&<) z*lMsE$)d5zj$#9HRW;A-j=0`D*};QrKc&uAGuQEr9H78y3VopfV5wD&T>~qYvAZFH z>cz-CS_mAZZiratYj&v4YZ~L9k^eDc*ySS$so|Jk1N?`V5TfRIl|)}Cl6LCN1~j7x zaQo8cWOcTOuk(pE_1__HC>3AUY6&OJZ<$S+j3> z9ewA=t`tKCA9KZp|46iKYK!(?WEG7E?5FlEapz~`xO8J^qO#A}&<2k7a@~H0 zI7;yL6QfOZFD#?ksWq8gW(JhErz6#+fYD0l%NJ+PNO@pV4a67aBH+1VU^dSFT;u8N zo$?XQv;)tu#~^86n17$`SzpJ2%&~MdCRy3!+kQorUXs}KGx?_1JjcM|x|W9hE?MNymSglt%?>O_K9s2LFrmv-3}(HXCO4 z!VJbMfI9Sh=;qm_z2VtSZf_3YnCHiqpDlw5I1xzg(d@Qc@#AS#S2EFF zx`?bK^$addvjaa{w%#r|jB6Aq#1Sl3!r|l5+C+Y3FAlJg+FD+!MuAq6K2BqXSALn5 zkD#hU!&zWHS#iQ~?Q3Qn%vLjw9};wHAJ(4v`ge*m1h1zPeD8T}8?X-%0-C zuReVOx)LxHB~hNixPc81KUO+Lvx1$Qn8D(tJ)jKTFkk<-ZI)T?;=!{QibMk@9wFf* z=QAHC_RjpnpE@R*5k5)?6H>=xU6DP`*PP8wrJW7GX!OLXyug8HR&^ko z7N#~$1k3YDqUWm#1PS-YXIq!D&X(0lxZr_m`)D`y@O%Gd4W!U&1wilB#kzl>q=PC1 zc36}L(xK}9*WtTKNo>|<NbwNSVn1eF4ntr7^$2Q5ak492beQ7^jdbFQjUQG%^hRI2j`qB{v30S1b&@Xo6GZh3|D;i0v=(@#a0C z8$~xdueE(w2vGebOo9pKb9ALuR6}l6>iB`1CKJ?Vjc|0W&v~Tqi0k@`6mR3B2dm5T zNHerjgQ6s$)8+sD<=+g25l6Ro2e{PE6m5qu{AYLRugnRlv&NMc z_N5?>MwQ--D!m?6IvZ75H^7OebWLAcWy(IP7z%%Eb>Z=JaAI~S;-WpjFIqp?__M;}$ymr=PCRQleau7gcpR19T`pbE=d=a3-jV|EG&#U292}jm2)ZV2f9yu3@gE#aSkwd)EK-)yU}&cqqo{Pe(96 z!(kQLSn@uC1(jp8)IA(og`_QviZ-2jD zS4(BDHb@m9CWIQd02+ZGB2`Mg!QQox>g}hJ6CrfSVV{2hPbHMf1NMgk@&TFubhOo6 zW)QJM8M+vrasd*;MY{%T0lTEGz%zi9fPRNaAD&cH*KcfKc@)_bv+j25St3L-d6X!I zCpIc~=;~E2g>s2hH^6UU;(cQWaJ_Dex1UIxB`qWCT1n}#4<8o_G%-pU(eP2nv7aa@ z&LG-ENd%>dui+Jpw^vqAUwt3w~1=Ha5bb3#009d72MhKC%#kNby@Kw=_6`&!qxQ9 z6< zM1WqV_F-glF-N^i6-<%1Q?Uiz#b?jEiz7N6FKy8oK;w5KXMg^u|Di0^G^4s@DJc z6{8U%x@HWD)*t=2Yvohj-q!i+D+dWBtH z(J`QO1wj3S2c3EceD+y(X0MbBZf*-;|C!5)^zyD*S&yXR98Na2YtUSt!5=o%ZveUy z8cYKK#N-%cpSPwCCKRh?*7y%d(T#~sIHFakXI8dEMBBVKB3b|fcHm{xfKXglMgnk1 zPF}uS72IY^f292hwTGA7YJZ|S!SVBopbI^l7)d;6CE3U{I1s=q=2nA-Y9I)}Tegy4Zd>{K$N?fhnS5}m3@Ieyj=NaU5Y5f7U}%Fo zw1Kqnh4Hn-+Bz?xu_LyKE(-U(Nd*Ji$)P;>f*?PU^Kz>@z> zwrd;kPj5fL%ScBpbL_drK6RSlK|uXrasc+Ae638BHJ|ao@=xpE`bw}|?Yk9rX4+Gs0v89Hw*b3qWHsZFNDe6oQ#NhM%+RC@%hrsvM@o1I zaRu%DM+Jxs1z_7!1Pr1O&J7AZ!Sa1nt7_Sti-Q5ewWIwKZs`^E=&35GNw{;^DSk^S z$#mb+C%t&5hO-KcwG3LoTxbG{Qx>|TBruq0``$89C!<+xRKhV^fw%>b;^(ows+|T(Idod?t~-gT(1LaVX)RtaQ!~ zPD#Gt7g%+&^}`MlZ-RNI{+1#EKm6(IQQTZ zK-<`OQn?xwz#=qzi+0_@h@ASJ_)dNk0)*XntAX44p)x?I=#f@A^qmS zr(PYcZR4;P{JsIneMcurk(FSk1ehn=z#I%iUoH>N_5oM3p5uDo`{6?vk<|qOK0ERW zh|PDjJIM1-4&(# zeCkC-4+}bIeTWLFYfHEgQGu(q$kLxotJAm1Wf8$ciXb_Nh@2YE4h2jUvsnOnnY}g~ z)zO0C<_WCyxv20VN$J>!D6)-dA{7YZr*zoEU#sdcs|o!Jk5L=0@J2@T;FD3nos%F+ zwtWQ|#CL!OSkoX~kTR=8^bmTkj8W<=VVrLO(f1u(66AO1aoJoRB7578Zx10!xaW zjFSvbJ8%%2caqK>KEw&>tGqrC9^Ju``VJ1GO?IS_9;YO547QzQ-y^#s} zqy@_i9R+|6p10XfA?8~DJG9hH71C}IVflm^lW0k)hYNoe6*=HWTXPSt)FH}x1p-@*B|!S#sz-Dhs=^QweqyGngMZVS9hp@&sLTVD2hW7rqI z8Fjo{@fq&wodI=Kbm$!sX!U_HO3k89T)kcb&)ESwj<-0KudnTIX@9H$j)8OfPEEGv zk#>BnG4tD(Ouod^En9eI&kSfEFMz|sbrEI+69rg31cNk7Ce0)H&PC20`v( zQU199*du;}LN2$GyAcpH)ErPpNmL8j$GC*yV0-nN7kWl`gJc>LEci7pjdTZ2W#Vz$ z3BHfQDbUboczTx2iT0W@ztRAH8Jjc!@3_?7(Jbgn%73UjQ=FfgnNY%n+VgPqNO%{E z06##$zj6CwgvAJ#9nb1?tB_&3v1f+9XP}dWC9)TymWZcHvJ=a)dZ7(s$dn!=~+EpXn0VA0Ygm)V?S9xpz@|X<ldc`DslT2H3JK z_AktmS#e8M-_vJDfctRR^x+`n<7j%d0S3rYwYa{d;q|=_mml}#KR(*(umnECr0g13 zl_d@P+BB53uOgQ>@$bowDM6@AhuZg%M`w@PWx3!_6gg?$*VZ5hcSyOw5rm?-?4XJ{ zx27;6QujI8 zGV0#htq?5-Lgc(W!Tp4k0-)7xakKZ?7BJScwGs>+inY@0fceq9)1?_5IoZpK8bQ^e zQCnv`kI3Ysll9p3xOTvM%U;ywgUu5}S4KBs)V*g0gCbo5WZaiF9Yj{_NiD2Nfx+3T z4m{y$2`v>zf9u_-;Q%Z?8QvRLzpn!WK4wex_V>Vx_MzsRzSd_S-^GEs9q0P!4e;`^ z_4<-oouDZNT(Ngb&Nl_MT;^5JPqWL9Hc)6c0=I~fcYP)Z;-~n};2_)b?tGyGm^^6M z^}(lpWrIH7(xf(~Al7Zjs(rs;=>WGcS)ZQu9+v7z3lRAr7Ax1yw7vXNivmMKYe3eX z-Y?%d=!A2Y3&!)7da7`8BiMCzI&3$X;jI1xWjW6<)A-LFhsoMZ_#mo+>&Ri$VXjxZ zyt-KQqA!^gLtNns0Q~JuBwNAh9Xl5G>FiJ;5a!*Po%Tg7>x{HjI{whZ?-!NGQvQOX zlD;T@sG!yNs@|E$Y%s`a=!vpLZTr}ajr-EDB`Q`_-d#82@?7c51dwr!IF{ZhF6xUj zVX95HE2et?Qx3u?eY!{790014-BpU=_nEee65Y=t!$D-$*0ej~o9rq7&7b96b8~=Z z1wn0zqU!|(eL)IFkwRGWPA%1zU%@_F4qRmQ-hQDR(S-Ygo`AxI3;5N=2A%IA?EO&5 zoJ*+SqRe>>(H6Vwpc7kgkky3A+!UaVz|rcEmDLlw&pHSG_K?5mDo?fwI;1)(Uh(QB zBSv;l9wwJhi`HgJvW8(#KSN8U#^WKWT9R7Q(nlgd)MP#NXyWawDnHD6@_gz|`ZAC` zYk?DQ$L$=Cm#6n(#wmDrPS@EJZ8@yhuyB+zX*hc+e;<6vDC1!imbD+coG<$kP~BWR zigWk?8D}TK3o|<1CR^)BH0pXolA%v#{U_@Mq==DGkeyZKfBVC~Hu9%v3TgZHc$A1WqYnT#8%^-eXkDKcG0k-^Jc#~Ly@%T*ev1wttJq_^Us z{Aj`vQ`iD?6kn=9I{N_ZPqXsfi{vl~khzR2VPA4Q!bBgafEJfZUc6iK;=P9R{%NH{ z@e82tf+p2&2M3+rRy9 zPwV=(|8+@QYEA}L*X&huZAh>mzL5IV9l)PLE$%%{hkE!Ua{Bp3Y^XQ2)>AZ(B^F!dg)_w1q;FwRu+9`us>7N9=yZAwVGHHd4V((OKS$?8ck zH;5a!$!pNMUTpJbwXwsvZ`@8jm#oBGy`}5#I%u;;f(Fo7UC~bOj{1hN{E%A_cpsK8 z%*nV8Axjz;Ja}Bct$A}nax3kAydWVP78g2dN0~A4$if7@*{U}t>vl0xoy#pny-59`8mOCWbMPnk0B1vlP$3e~;J{MQT!jSOO_ zIcsh|QwRa9^9V#^;fT4sqLY3>zjxul&5#GHmhpl!+DyKv+kl{t7NleP>**c8kcO{l zt848&e5X#cegX+b)1F{k!X?yLDq{1eADwng%d0y_X?_c5vNzl+$;GYu2TNi$VZP*L zr?AU=fQ0cecuHdj-!mN%oiR!#x)~q?m+7M`$J3^^RGXGL!)54icAdo0G`p;R%1Kf| zrCm8TuCyvNJ@4~VFp8MHi*B`r~v)CRoHqJlm9}hA3C17z%NAdss+VS*% z)&`+HJNcGAS58ZHWZbLtF`Y9lTKm7D~r(eifpYj}t_@fvh!dX`HO2xz33NZnHgP&L& z+|d|b!}F%NI{M`7bBkj|GDZn1`8e}q+H!$M9>FsyjGV>7K~VHppFSOOGGXulB5-H} zniXPp>I1Xiwel-Tv`%^Zid*bjZB$nDv6cuQ%eOflEw;#!fK-M@Lcq)DwgKFFeox{N zM>Oh1bpYz+DQ{|!b}bow?~vv74f()M7)gQpJz#mqv89%4I|FL7dd*+ux7Vs$0?0An zas%Ol$}*Tt6Iao_yda_rb@gM>e@8O)fz#sFeq_IWWvsbvX z=dZQeQ4O};nhtr>Tm;y3#qa@#+x4^~3s>lMnIUB1Tcvtd8}V5xc8YZAWmW4wVZ0|Y zhB*u22{+d6z{u(ClvLaMN)zZ-A~rbHmVlPL+lBz3H-mk8gi^v2LU z*PBAzTfDHRSE$*)&Y%KDVHALoAqfC@P8+I>JpDZ^k=eyAc~lrBN=Es3?3Nr7vdh1UaN{rqhbl* zeNSnzuGJP{)pSIN8&aPeKn{kz4LJ8s=q}R8VufV@yoXEN!6_+sC_9lVU;7-X8>Fel zI?V`bhH(!$iVoS>4bGe81FwbkPf2HzcZfl8YPx!Zz$G)I5dMaTC82=Tw6)P>VN!GV zH~^nc@aku#rPmD6-WqL@0biZEd%^3Lk`6i079@|IpZT2}=n0zeHk}Gj;Z_M!G7~O$ zau7Rh-{to_x7kC9L1-@u1O-?hXX!emK5nye)75zSVofSnQoki_M+n1%gJs*YR+E@Y z^_9b3sAYN1Qw|2KxtzSN=)7(zmD(!Wot1zJ^wsf4>)Cg9dBKd086zJ_z?0^#W*xUN zQlFp$JXSy;=GNUs_d~5B6Mz~ytZPU(;7PI~h7%$42i4UXJX`%y_XI<~57f;p==JR% z)za(Fo z&Xgwck}TmW#|EX2rhfAY>|#ZXIx)H0iL|}v8SQ>_xVGJDS3SM`IIG`ch=CSrK~;zo z1Z%@mrzYe3E89yTLx)QEf(&=wMZgDx>yuSVTM1PLw+o-Pw zT5b2El1%^TX`hVxg@jz|7w8(`>8hS+FXAEZEAh8~`RP-(&Jn`f02f=XSU?pAU{MgF z(y_>Zh4#Gzvj|fSjPq*M=1(BngunTnh`1NDAUu21Dr>O!F?i4mA`K2XolXt7%%1Y5 zW17`&omYIZowWpq6ojOn$;AX$RpWT+rR-O+jpo2=f^{6*!gu7myoXSb#>ie@pKS2`k`_I$%(s91 z>66AA&+Ao}Yrscp!?xWyM=-|rC_mda0HZM;j<#*6e+315R|wQD^_ww1otW%BL=DnH z_d-&VY1F$lh%Wh)X#Pp$$=s-qhxa7PV9D`9D#2_TR2R zWL@$Van)#@+I+_lFT1V=Ccw1d@VqJ1bv>hX1GRXF4#L-|jn@Zz!M~?=ei(-kz9)Xi zFcM(@#8otIZ|S7TX{OK^8=CtA9AHie=C@^z)pC!e&I|Fk*;m(KWW)U|B=jNn)cYGqgRCuPRBnlr5V zt8?s@wA(E>s;;oBugffF>l)9wz*yN|pJSx0GsFQH?;QbB8rK|!bKSSCuHE}Xa;(e0l% z=zQZE?+X|9>$67Pkbi62y0tsJ+a@wwhC&x-jS79BJ$}ig8=s{&WaAXUVDNkMa2{r* z(0*T?Zj)oQ%z<&mj`Z-m15eAk(Jt%SP@Ig=*+%?MTl`U5-VuNM?7!BUNdx>@3Bg$d zZcnI>oHOqg^4ECOc!7qH#+^xqU^ls#rmh^d(50PZJ8xL{frh;+os{K#Ynvcv35o(X zcY9l@d%s;FBBjBBZL}+z8~R>g+P2%H7r)=g)2~1|+QB?#``S5l4X!uIHpr@Nt&Y2% z?*MRMu;;tF#Z~W?-)k!bZtXfi6=TToivF#=tBwwxS;u2ue*LY@q@(cE%5>*6YLmSq zr|u3*GB&dsPd!;#gUHd&!5W*Z#?bIF)!O#$r}FKmI_q9+0aUl)v(RL!lXCVXr0+>! z6frK;UX>Z5@C=F-Ni*1uv|He^z0Hme`>-w5YX7a>o{Sp}o!})xfz}yqEg9L=ExVDF zYk*QMRo-YUq^!s_&Q@OcgRTl3at|B+MG*JKB;f)zS!aTo@T0&7?PF(%dZNs2T*BuW8OX`9Xo37lEAYiU<>^E3#HO>t}W_ zVNBH$p@%S%$1tg~40c)3Ko=8=BQg*9O+0N-@jHbrB#XXW)rZMjTyu=`==r~%&5_}1=L+12<;j&_j!jK&MDg15U9e$P_#VDs@f{Dhmr+9>ez6Q z$^;w_jtC~^7K{RJpzlr4-1YVh3>SW0v>0+ylM#kj5M#t|q`dtypyCN12txkjABfnE~ z&Z#14Kmj0G-`fFqn-f@HPq5)}#kwY$wI30`byJ^Dciba~n%MlyjBr-jmzskZQf z1>!Q^4Ol4q0tXrvwP-sn&W{2&1n&I2l3v``k_>Z>E2RC4HtnaJYsv4;fp~`nj;ab% zKbklZ5b4ia9rOZ$P{ynbe3q=GcVX&~`v0z-7Cb!zG3E+S~#d3#gdTAUWK5ZrqNb}cP%n=H{IMLAx zFHQ&A@B4>)FOC-x%NE3ntBz=d#EJ%)avQ7q}$rmeTrK)S4H!}Sqx5{JC9 zS9!Nqz> zvnR5K85z{+f75rhiN329j0r$zuR!)q2Mt0;w8)pIoRW98_-xWle8D9YA`0X#k#&G& zwj*Wrpc)P#HCe$0wJqQsMs{#@+`(0>S_?CW$qroe2AExI0J)w?cp8<<9YvcCsT40x z|BD~JUlDZ6vR<$3Y5c3M)Y!aB_%4nEi+hN`3({u2oYPb|!h->?3Y6(sIVlTzuV?c~ z^S-9!a5keK{zCGX>-z1_#ZbQ3y(?M{q@J0U$kmnHiXi_xy$b+-WRRdM(t-sRwy+VUXgc8mG8p`N-tF<(6a)bl4dQYBh%yKy#Tol3t}dGMxtQDP zY1GrI0k}6Jx&dHr?h04QGs28q?kx6b5EhR`%pMl|3h-3zj`{}n zu*7;i3kNZcOam>ST4s|9SLB;q$HEOBPzxgrsKT^-YJ=zA%V_g0mSJ}sKSA0h3bS>vFhJDW7bvnM0Z?u${p<|Pi z1*tKa&bFyxHs~(!NBd1QZn-~d`7nq5^IY@tFJ((iwoAK9*f)HZ|5sm`3zWfS<(a`u zIiBH+PreUK=1gb`9OlX{cQ_u5LmSwSnobh>*?+Cm`$PHx$_~)Jq_M)^Pmwy?;O423 zb5>^yro{xD3;PXO*E>3Vl)YC+s^Gl1aGK8(!sBJfyyq~P`5cq9(X0#xMi9IDVpHO2 z`pEc(Yp+Wj)npQ#=Gl^Y4}@ZT9rE=!muhx$C#18bv(n_aI6^_DeRiovjNQMQJQ;d143*crRIai~GF@j64w-cpnm2(#)%tq)eX1+9aeFA9{d;v)7Rv;%ZPD)@Hbqs1wf9)2ti!#ly z)#I*!LQK-wGav&crw4qnI7K=}l2}|xmjZnk@eeWMEzoYW+Cf#^k`Zhd98Vobv_pWs z0FenC{@_Wf)vjCZ$^I_6(#gU}$<&VnOH+LzYWR_baZK2%$jA%?tElg!3+tc$qHiuU zt{PgAan#2OL=fD3;g11XE_LdP4%KW;-J6-fh{nn2ll&=f^2`AYG4Ge)$9+G!FUbRD z#eF}yC&|Hn>qhSi4y=KL_f(1;EL4!a4x_+|BJu;^hqt3xcEP0cnN5` z8m7#e-)l}sT#)Z-1jxclRV^)nW440-08I`Ya-cga@alm35Ljl)CX1g;bO~j)nxlhz zcliF*)g~`82injPK&IbQRq6bv@{ain)fSHQ-v^8^M>@s#aO){E2butD+pcvu((#s; zQ%O+oewMVRBr~tX8?A1`&l3v~cTK*9UHL6|x4yN@3J@OLMfbho3!M$0NIyIsg-irs`+4^KGrLc} z@)hI0`Zr;s=WzXBwGNXn;oWbU*X<76iDX;QkuTwVZACh7wIMY&<2&HIZL`b@p}!-t z9w8C1>EtSv7FVgEq7T&ylVl~)<&WJuU*&iUqnz582H_mq9MrsmeOyt`YdDvqj?@W9 z$|;oLBn>{q)*bX?h<<=m74r4Kb#O;jWEDZ{Dy+yp|meK<8AT zKW^Ar&Jw`c2s5#%2*nT*eP(Zw`ah>Opz{ENa3et0XCkTd8y0wA{I|O&8aH{b%bd=9Pg1QyRe_ZkjQQb(@yievr!BLYLI~? z1QCIRu!3+{0fMmEO>498oveH!6^A%XkI01M13l3c;lZhw~M`eK}d;6vKn3w$N3uZg0oh|^Xzgt zt^`fDJZr;y%VZe#Gs*0Gh)|y+O~tdSO$O^MulObGX%6ndYcQ>q>twXoRR^#<>2CQK zzWRLyc#KHPWBV@j@0~e6ddi_6@fmk{5cqI57~-g-WEA}1a`XkFALcP13CoM3X%qx= zhR>u85g`we;LZ(FVwM65^BMVg;++fX@99A`z5r%kaPJsW@)V&RsLnh}#PcuI$wb6Z zuY}Yq{xnQv=&Q>CG5#fyeelV7#7IvYKMOm#DCajYpylbV#EHy5edm>Cmd8KI-gx^* z{008;t*p-Xuu${g{^+FOBmyk5OEwPN1Fb{8SN7rUFZQ{70>%Qep6~~53$um}aqI)~ z^}-40{~&{TWRg40kpfD$tnL3#cATZXhivTYv{*7OIOhMjcrUet{8+5X5R2HtkS4R6~V^kXqdqof|FpM+e3W9V4H`D@otH2k0Cy&vg8lpd4di>on1?l?;MNj84fw7t$5f?@SpElUoW3(N)_^^Svuf`q=@gy?a1;;R{G|Q^4x-Fi2@)CQD($~KsO&!Y%=6U3< zN2B*RJDnJw8nB7ZQo~`hDrEOk8d)ahw8>d*aLZI3wM8vK`*g(=_H>ojdlRi4(+?s%9V2y6avEovR;6i}ygdY5 zjcAs%VYg-YHSVa!;{4%DfBAE%8R*!+otDi4wj{N?#U-dI-)^ zF(xW^1m4Dbp`PxBY5EbG8n?}i2BcH+vq}IB?nr&72g7HvJiN1nsxBK;*9_VM$$}9! zi5py=kUQPGDfg~B%`u&hW`@Z?B(tRBxwtb7#XP!xIID-Aie_NB|A%WjNi>;?N;}~2 z-13IIGF^1vOC}xH&`)RSMx0U5DjGeuzKm_s!>~}&$pkd5;be<(va@Nu)97R}0lkUH z+3eftHvsNo~^B&#@XTS4BT;A#O`8@L}AEqfv;CVAPZdkCF$WTWs-zLEpdJg zN#+yOO#i^uo4_dTdC_KuBzkunB|htXQwbTuqRCz;NK68iX-GRMU5rGfaBljVR?5(!U z@tkou*mvt3=q9STx8Mqn?Aev<9`XV@m6Y5ykWi3at(ciaf8LOk9Vs!lAT;>ES{zo_24RXSVKjMQ)siY+=3t3704xe%^`zmHCnzY*uG-+X9QVuhHZLtn zWWzOQb;3V|gc?0fx#yjTw8TGkg7hK$Q__MSBCF}@r|iUV78g=es({jalXN{`L)@o} zAoEY50oAHGz!|!<#qFZ$lY8M%37vc~7CU+rWnZ^&Qj3J8gBrQ&awbr2?RAdJu+@&) zCY#K_Vz^^b{zOzrjS2lfb$*5<_USWkq*N)FBn6Ok-r`Xv??P9eXV98?(kBk2nw~fA zAc5LguxDo9pj1-E)}-FxFPt>++rEh+hN0!%zC4l;L|4X7ryunokDYgA&Pgpb;D}^N z^!T|Kq-!vfaNHnH>{-A5Rd1t=-3yr|8^MP>SZ$7_v#s;B7$G|{LiTWHbPjmz(O_xX zcQ9T6l+^n^h#nF@0ktQr5(fU;jG~NqRy^KnBo;=sI+DGTtt10&L_i^fCA8zUoz*aB z91|Y(E#3guCT$89W!It|tA;OLnZG&>Q-Y(az{de!C8rG@5)WpFB~cnHI9&-`&Bb2% z#*Q9b7i{4Y;gFSYKY@ROa^!s-QZ$gM$$j5KKs)^9k7PYH{QlQ+CAw`^wd1rj;frpi z?4?>)2zQ?eP0%o#$CPXzc%r_-22<37Ya1Y#?JGzA*J}yD=(b$>9ofJNFLcXV;l?Vq z==^P%RJgLqP(m3Odp&YZ7BX9b(^gguE@N7?SKC~Bz&oMmwDeVDU~XxrdQ__)I@+?I z5KK{K-BX6cdMr8!orY|0+)BgpG*NJ)X<+7xzZj)7!`A)xiSt6wj!MRztfp7o#oYV6YAyYllUac5_(eLr&F z*DimWam9n@G^|i~TJ#rfHSn++2I6IZah{f< zW{|;y${1nB54^BLZ*c1N;HR%8`JOX^1f@RM;w9Wj;>dW89qUCs+n(&`qJY9f--t>_ z0YYuwsw>Tc*S$Dg@QDexd<^vpG)}7`d&(G;j!SKv^!wnFfM5_1SaC1F^T7r1#KGdE zURSidzNgca^5^tvv#LY_pq&qSA+cKUcu&Mdg&FYRF0aM;jLauzTMcxpE6oYSSBH-x zagc|hO=>rtlP#P_>EE4t-lIA$SI2xX8X;Ciw5NQGFd`#nK?9o8Dp9!eUJC~4<>?~M z_7R(0F@m5Em5A^JUW{YNa&$wufW@)UQl{SxRg!TMoZbY{$bHL#^N})Dntw5#Ib1O| za}tgL*5U&9)+C&EHpfo*!XlI+oEJjK_NPTXj>g<#ohQp`oa7d)i)T^diYrP2qoZtpx$^jyB^m-mc`!1+4}-XciIB07I^p)$!T zxm!@71qf1EWO^oXcx_1@XlK3iyv6i60-wkDJiQD#HHaDju-pf*Q+Z5%WN@o|el=NK zc!xNz)c^h!jAHGp$=*;L61&#UUZ_XIexwb1A75zhk8bq|dNZ(y$MTA0jp&j^`HYyevLt!L^7ol-$Hf-`IFvK9{q?wpCsG(jgh?qm+yvJE+tM@_Y-9-L+bg9$wjMXOej+mZSx6qC+w|6IU=WNL(>X z6vjZ){sy?89uh4TEoVH%BN^8|;?~l?iGyPnr`d{>vyQZXzyZ;2(-^zev~)l`r;-Hkr> zT|76@sS9gammiBr>@bzI-Q%|{57z_m3#5`4*26FL6V0j;2rwESM@W}8h>4L8*w297 zX_{{Nn62<8WW(U#r)2gLs}SZ2ug-7bf%nLFL0~eX{Q#aVO!aFhG^*vvW|snu%&}4k zcAsRid=b>bZ~q7{PQ`Z?cnBkH++n~DFn+A@QuSED>H+afQLXkvCP4b;b-@Ap8z8H1 z6l!V(B3!`e1tFJRR@mpCW3CW&k6?R;N|0aH*^+^?xB0TEN-Go*0{8*b_<$fp1EW#H zq+;k4GWQX$1q>MIlXMc0R@QV+u(T$b$8{wm@HH>2Sjt$c+~(VhJ=}Z*O_O8T1bqNT z%~teo(mU|5p7Tz{1Rf*|O<`F1mUbXTeZ0X1B1b`J!B(P2tx~`n-q+nxIX~p=8@p48 z_|H%blHh60YnWW=N*9Ec7uv~x1+TB>FZ2-ueFd?!Op z#$mMujcn}z?ZMu449YOd0~edT2Jpzbvl|-kys*D+>{qg0@djfp%)}$RYX!ZRHo_HR zEn!_KvOlu|+$x4ds<08Yz>{YWPo8Dh;Pz>n8(oALx{L>QdSlOPBQ{TVTa zO3>f|_IE%R|W zaW?haKPV7wZ10c_T;t5gQBv-|G{6ZQya+oTFc%qh9?WybA?0t_@t6T0mKEOjcNJN5 z3Oz=1a?4OZG$X*rkpt~I#C^joizGi*M}!X_87F$0iO%@&awfzOGQ-rBoMcF)@70i2 z(%X*(E)@XYkOQq@jd@Jdk7OOQ`t7HSa?Y#$5lK*@*)2M}QKhV*s*^@CPj_ACCL*JlA=vk&xDT&5%|O9Y9-Hy4WnBg~K>^4qYp3w)_ys{#rP? zkFapGZw7)yYmn9t_u@Ku47lec1Asz2&jjlq=h&u$SM-PFCA~bd)g46H*i^B+fWvG{ zYlw~o+0JQa-d~sFhrJv)lF%7J0%#A+*4s=2nm{L_{a`Mme-v5t5>nV}E7~EbC5I|6 zZq#64-5qi-ao_f=$QV(yIdtW*=(bzjb>Hfe3xeQjg9B=vsWmCy$5X8i`A5ZgzLDd@ z5L_wvx$$02<`*!oKPaZ}72iXzJXHnlqO{v(bfC4(pL|dZzc^_zOWiD)l&I0VCjA|b zeqSuiH(ex)D8=ctr#?~>}S#A*9!1$T}yfqDFryJ;AX4~ zVIQ^6!0y_g$c$%ThZ^;#uipMr57*+Iv~2z!m44VDokF)HmVAf^z!O5*_ojXV`)tcE z4kIju*HYsRvFb?w%UT3~)RJ5`pam!aXK9+T*MF}BnFYSWHJ1YnzE``VYE}hzh3A@C zc7nQ{twnpQ4(v(J@AYKg(?XGXC6!#+0D7qHt^I3z{b)B&SviT0+EqmkjFuX&VpuD_ z&PKYnqJ2O&jLd;nNte+t4hQ*07gOftYWFn&CU-J=QjLsu)(T-RIbgTwykXOaHtv<( z|0%A*vOkbgm)8|KSe&h=E3d3txXa@Z++txue=Dii4<~LvFXdC!p+PXZ-xt_n+^`p| zzov7j#nj`xGA*)t)iM3dh9Ta1tTSNQtw|llt0UD0Ad@GXNgx-C05&`?HT~lDS@ZVH zGs^}!wz)I7-JPVsc75Z0UZ-+B-s!fmAA5YdNPx$LKn9)k2JyG{^3);M>L5R9rUSz7Uje){2{=+T|oVAaa+2rigqMF z>T_UTW~8_slLI-~J0cfS97fJ|oEjT{X@6&<`Rf1|F6I1S20D zR6&Q~=c7fRV*_WGASJCVNKywqWaHVL<}%vSuzYW5iaL~vgDCtUrV}h?ipTsn|DJv4 z`?N0XHm4;7PWNrDRv?etGJBVz?=O573|YK;AsKrr)H*-pH7QZs>M?ujWncUv`NGes zz;IGv;^bS}v1_%je)DHK5m+xC-+rp!{u@wSR&Rf|skljS+d#+5%_G^!cj3Jg^x_=$ zEuiAML;HweF7q2Dv-qSZ!*Ne59y{Sar^*EP^N+j`A7Km2K~Me6!BXK_va^0$aC0l# z@$&4cVM&Y0aLm7shHt5FK}^kB{)x`2#~hzo?CwRI$%&DPVEX#*g_IuEWs)ix`otf1 zk67VFw}*bbT{CqNk1a_ZxrWqL24{ymykIFh{CK9*F2cWL^>os3#7&uTU^SArr&7Ve zi<7ft8hBEkfaH2)>ZD{S>`)00J^JG8Gm^aSe)}UG%k*PUyPxTk*ulY8($sIWqfD3B z&{Rn{Js!yJX$M5q<{mHj1=Zy&4Ha;xI@*YF>a4jK?Sv}_E+kdHKDCeKi zFub0&`2p`n4P3ny&3|UrM7NCwdY(}VS)jKVyY4rC_C)`3Yi1vz9kY+P6?ABu0Mj zWrW~w03vcP9t228h;K-&-&%WD?W*qQoO4GGQ9xtg^K|!K`~79Dz1RBv5Rk|hGyx@? zeSu~jF}M}n%4^OknpW*>hQb?xj{l*1q*+Azz#*6IU{!X<99Yohr8%w|38-pu|J^sc zy0l5HmF?i_JO7rj%Vqft@>ZPfa|t6=&DaglvN7vgnO))4SJd&Ol{X5o8fT@9z%sK} z*0;X);sqRi7JfkTh^(<-5FRte!)P}kI55pk=4%TqK?Rqj2H~!!ex8sj?|UyO4S) z-)baK_J*-Yy%^;H(xPKwZAO{lQZu|JWWG^mtYp(k)(i0>YvbUB+KZRx7Qmq?(x!>C zYXRY{g8)eZ8jdO--wHD$pBV24>t?{y*sd)fA1jbOQ`;HS6xzuS(3A-CWDs|o!@?c* z7oof&*T^e%@EXV}H||lYRh2)YTGS?n#{nICSJPhs#|)=Ft8%um{I;1-;93dtniFS=l|5pEEif)V8{iN_sfCmaFAKS z14N@v2R-Q>Jff26R`J;ycr=D?~dd0M&+ul+jEHg^bgpQ{g?ud+~ zpz@e}a^AO(8%K;j&eZGRc>pA$5A3kt+ko4KeFE@dDFqK698%cg$pskdbz#Pa^IUaS zjS3N#cf(oX;JK(SwF>aRwD}qoYi7w_FfTeDi^c*+v4DO*HH?rgOC6i%zB$7e zaU!Fz?Aabx&7^~=0cQMtGq7zOGr}(Wxab|iEN}xS(h|rC$C5Rba+g#6j1s*ddVBkR z!gMYXKXTfK>1-wS1Li{U@lc+aFL#BT&$<~QhFEoZ`cB1DusFh9on6gIlW(8?0W=Wj zF<&uj_QP>aMq?Cs7HtY`InvYbNH_RUz2L!1jkXc+;~aVfkK`9xU``kSnweA#+PHx_ zu|B*e5t`6;cPz+~tY6Pc0Sr7GJMSBQQ8z?%DYSE*;4m{4k~%>~YnV05hHOo;@Hxie zSd?{(dtp4G^N{G0j>WbiyEpI>E9Q~!?3U_Y9?%@|$|g-?Xiucu9n7L)+IW)b4YF+> zi#_03K7^%L9L6tZZ6fnJfwLLniaTJB!b1>XZu!toUl^sp!8OjT3`*aDbnt;@KDwZR zE^tqq7pVt_`QU_fOo!ILtm9;9fuCm2$USbgX#d&bMawq>7Riv-kfbDq$0$D3$W~^6 zvDo$5_wsNhMblcj!4B6E)A5&f_?^N;s0E)44Y07)R;Yi(^XMHrprr1Un2A zJt}eR`8N{RKxE>ZHO7-(bYbEtkp;VU$kg79l(+0d*MCmpRP6F@;9;Vv;zUXOY*ICQ z*ui&MLhPx|F(acx@ruRdQHa@#KK0X3PwrV9D}Ad91K8w3DuG$bLR0u@h)2Uq`-5L{ z#N&pV9QorSFjDOwnyxCgy8FF2P@~VhcVn{hcq$m~pJM=+`Db2<6w7jxlj>e4B z-vc2LYCG)UCg)rv1dOxMIi%f|cBt@!#X68Gq6@XQRDyZS7EZt3~fHQ8o498T3rB7VMWz|H^q_ z8WO=XBD2<8eghLUXPlZbt_L?gc?p*_c;v9|N}b}RaSW$pc9XXPPZb;(<_^k+1(8Nl zwpiMnZztDp^KZOmZQi#x)bpB*st|M{keLHf34C}kj&D^hgMVbAs^+Vzg)`tH=+j&| zUn(~*>6zNSr8@81bCG9i7t$W%rK)y;s$DFWBpEG?f|#jl!MW$cPG$KA5P@yZ&R3Y=-OjRMWf>2csz71|v0gs@ zxPHdsvzx_dSH)*nbLsZ_q1_@;C8t)9=#m$+l%@k4qVdgH>SecvVru=(1+y(%(oW#b zS1Uu5+8!pl8!{_Mosqy~3~50}@Wk|TDapP9ae(sp<9%z|8$9bYfV8$0Ul#gHWM({fc+^o~lW zSdQy}9+M&EAT~F+)f3*;Qb=bjA$n#vqCS^GfoZ4<_2&Dy$C#_njeUCE;n%AGm*nem zoN>Mnqrp?<>Rr$e%zo!UrS#^ghgbcaF896JH6rz{9|BTI6{z<-Khl;kdN(i{x#-+< z*}2I(PVW@)7{0oc(>t7>Om~r3S*cuo-kM@B{p7lPZ_V-OZRH2J&{XB8xE(*|!=Wgc z+K3|>J#|nU{fG^2-pu4`WFy4f2tlnL-6%x#hrj~hI&`EQGWU}=bhjT}ucKg@2nb=g zs!#(QWRV`=$oe;zkWJ%dao1^W$Tt95%1JnQ&o>d}9fnKq z7OCc^9^`u^Km9T9k@iKX=lgCmgp^JIR%b3z9%k+s( zpKS* z#5@712Rtw?`fz&bKFF>FcB&I;D1U!%HB{Nb$=ym$kOrPlV!k~eNzj6idNj*ZTe$FMuFMhlxhLl%+BSwFJTrW%k;D>%PbJeore-GdXgTkNG1Kh_T%Fl!-<`Znxny^ zsXTDWV1+?JU_fw= zfxa}MWN-m>Q%fJMlSuHHrIUB)TP7oDN3X>z()#4shv2*=?4Rq zA!%|}o8RY>rrU`d9N(I5@;OD7gFCO-Wst_QLBu<-C!~j?G2CBen>n#nZ0uEutD+U? z0x(Hp>g9Tk%j#}lFj5GIQx|Qy09Zh$zqWBJ+BJprHSN^nTMB?GeG37`h_AzZbxvEE zaZ><3+Ru0{io&$1^}I}E+5wM#Gq9?oR34spNRoQXw<4PEsjKE_3$OMQ($O#>aEUuS zq-`src_}2{Lh7!n4wa%(Ebi7X_+bqf;QXMioxYy40B_3iTD( z%_;>`pcme$z(d^za69k{^K{Mm{g4{Dm41*1K=T!kHbdYoA(~ld$eyw=;KU_c&%4+O z=(OMGbuG|tXF&CaCOd9|>>}8xX&%uNR;7pWR8-Bg-ig65!2U<}w`C@p2 zyD?W594Z&JA5gkH@W_qJ5xy`UGHu zk9>c_$ZSX<_J(x?UA4^+QaGG1ld;Ifmk99d>gK=>Ow{N^0b_|Ctp3&d)^T7M+&%c; z?W$lZZ2RST{mQ|Mu5jyio7>`ZWOjSkw_rMcaZ# zo6dxa_n30ufg1=<@|_Ld8j#V1@-jzy+!c3Zo3fF8h%ezHO*LY+Lq%&Oa+;_5&Ak z1`Zn*fy_THW9mwe*5g|m^gCZwkqG&TpW})Roc)h>@%mH>?STFTD?(@q7&Gy#Dy5$0 z3L1Lgli8%4>3-9-|XXWQ&Dil{0A%6FqI7G_K>RSfmGP24zP3Urh2wCmsRp+J! zxP}1z8X3W%wQJ6DWi%zC1i;@R6PKzJ)9zrc&&U1@ZCfQmv=tq0C@TiQ5|!mz-5DWH zxjmdX3UaCz2oK2eh>{R#Q|eo5b*U-kR3urvK}JImGKT^HO|75*2^GClZz}-{8-4s3 z_(Oqo*o?Nu-<*K61Fs#xLS>0(xWYb^>`|$ZJpeh~(}v7Od%ayN(l)`YIG!NvJEyYm zJLuiC%lAc5;mo)aPo12^SqkVq`;vtN<&nK<@PJC^b(e38{^9_jy%tYnnuX`e2JJco z!ds8aYI_a}Yc;vglSg3CnzxP$WMk^6*u?q1cr|xI6<5Iwb+hsk?MDUtdK^_%Z=A^aRblDv#T37# zBdb#SF}t2|+>yqzTI>M)+;X$bWb8}-dbg<_B(Cpz2*Mk~wwR)x@9dj_Lri+yDqWqX z?y_fo^J_Pux5v95z8ls6uUB57p1yBG#$^4AonO4(mn+ukOeAInqwL24?WG(Xrtr6Q z7OB|qpp^t-&zdT^HZ#bCy4;Tfvb*?ElQRf(20l1?hJyMLkB^K#T9>C{XJRiah-)uS zXf^Y*GUpMRSX7Qs7qy~Tu+|HAct&D4pduV2NA^KNdy31qe8?kmOlO0NVIObyM4(vc zecz8l&LH9pVrTZ=KC8uzjLx>FVvhVUfqp$^l*|yZoT59>M0&0=>|o(j9?ZPW7qZAB zHS@@%GO8|pegQ7mh#k$2V}Juq$YAhzZ;%{De|0=d9mPT4Ij)cSe%6dYBJMPf?wCO~ zW)RP3#_i5v7eZY4Bnn%bGokL82u$8KMGuzpVdssXZO`Ncpm{UAFEU^&#^@H4A0ZUISy?Lj1W)!SNxA) z&T&jZ%;f~5T%hDKc755F>{{W9Q;Gi(nRcEJ3pbADVxdu7=!^`o+8xFJ2!I$-NRwYA z!%;G#p1BA1$m`}v_l<4ORMEZ?R z0Omaq`Ce+E$mZJXj!s&K>P_3LPN+!N07`Ih0ODG%ks=!tgwDqx5HC-HMqAW5pw@6e zrP$KObWm*R>~_i$*j!bGpS`IXMj z9@^F!+QY#)<=y_!JamVPtrOF3OQy3<`EY2QVK|?ihkBrd&D?8Y6auYA^S~H$p!)%L zl*qTu1C>O@U8NXh#Vv*TZdu#VqBH{?A?+9{E_xCGyzJPPVe3!@&j5NIj?H@iOclF^ zDL_RiFVF$B>+rYFNZ{`O0e8Xe5g@Ei@lZR%=JMz~KG2}o4JpI71^?Zz7}1}*%drMF zT(0KaO8u)b_b+%*yp$C{7Dy$k?N?56hZ8=%%V;5a@m(B2(>UPmf-<3LSvL>4Mr@_T zAtlc4TtNH8cVQAit3Z)CwbVWU|C|yJhn5oulGx|OaQHm{Yn^GWzPzY0zsZiogz4aYT4c-V|$L zd%4yJCvZmRv~Q@hU#l}mE|eU(k@r%c?2<_78vY~|>2xAQ{kbp7qtg%Vx&hm7BIdwC zN?%tgo=2FLaL^jXLb6elYq3;|u~XexUnRwNlm9T3R*Pv=uFh2fgu`B zbraV^m6NV$40b9d7aDT0JiX?dMijJVZ@OM4p1%vZY*sthEK-Rkq+TdV;$jQ~*mka0cCA0oVSFn2*rB6wtlUjnXbI6?-` zBtCR_+7DxXD@iTuYx5_tGlLTRNxWGh13dQ12Zdqq|6)-z=|Pza*N7wVF!=e#2gf!b zP(#e3Bm*IW4@BC)Nn@+x^;K5Qn3xQ5>dS~sf&kBAB#B-Rog}u_?d5pUk4$6Ika{)1 zyI2NSRN&4gfwgOB?Ui*iRf6epz#!|;O5{lw;c1P=#Hz^b-@`$6Ozg>9SmZ_y0(xoa zD0K{ikCawU%jmCD*8D<6rWI;H^Dc%UrKVQ+)*d=8{3zLXLrG-viblpZO`yafvn);- zV=zpqGDp_FY`~XH0?hLf(6$~1%mxyHr2~!NE~G_Vk{XPys?cwTV=+O7n)pnZ0T@*P zPFSa+URU{fv(bscGXz!(mx{?Eyl{pQ6aIw0#l%+ddsJx?dEg891(2%~B4fN5a&<1N z%LZ;pDmlOw*@2NPf+WU;ewOl-@I32Z_}Z7Fb`*-dmUgeFU;Cr)?uO!#?&0Rfm{rqD~Wk-RXrHkxvk z6qi+-ul6~xDB9vgyL*xveV@eyUv;q>tp3eQP zjAI}!_u~9iZcFMhnoXn_(jq0>=tg>XnI62Vl%i)?Y6k!xV`4G}^Yyyi;GVz>ty774 z2B%9PW>ihjt^up|h?nK<07N?hWM<;Y+TMYo=;H7L&y;Bh7>MqKYek{&yKn4{seAex zqY8L~dI#5EFQ$}hK)bhPy}6Z^_5+nR5f@>Uvc|w2L50(l07c6W!ncWCtS)&5UghJC zW%?HTnKE9e*=w;oUTp(Eebihrr(X$?{mdj& zN2a6t2K5-#h<>(pgo$t<+|Okd&Z*ahRC`x7!`h(nzLLUy&U(KAx3(zf92cN{ zyBCRLQ1`$SP^AU94H+0{AcI0(2>|N1$FxTh>O!iCJQqL-{dk~Wf37vDvu=xXVJqKD zvV^5U;`QF`akbf9i)C}hc2DdLbS?u~T&1V&0G_u~3QnjF4sBdJ;z{N_gzd&CWjWnSTZs;#p~kv1w?wrxIc^~_)b%8 zFz3f*{9Hd=r5jzJjU2BgV9IQ8WJML@0unjqK)q4P3^Wqz){3cqqHM zx4>ULuRFo47EC%dwjg3Y(ionf->Wfgn`5`bBr<1i;D9cOyZ+hMMGP}zKj=MEoKS>c zb0ue=C4&txEwQtW+}k<2V4kWcgkk&qh%cr)|Eht*ywmq6l{BXro zzQ>{+n|UprIe7)GYTxu~_M&rc?k(dQl;2&6LztwO(}>P_1WOo`nIFM$R6er;1Dp*F zJJ){0COds?9-rKEx~J*)J%&$Bvg@3DKA?`>a&2ODlg_&@kY zR0=_6P)E3=^3?Ixb9)8{xZo-aPIse2H+>wT)QMGg;CX9C z>@=<_cR<9s#m<=~l3B%ojBr2-jyWO%DH<7oN2iz%?djePFsZcsIz^AUjmesnzdiLgZoQ(960(+sy4U>(KDI8~ z?!iY00cL}pRvprK!VgSoeD!z4`Ad42^7K`?p88($^v808u@0WfU;YkNS&}~FI`A*5 zKI|_%<|BXmmOsh{Q1v_}I}O8+!k8>U>wlcbGb)#RH<6fA9pKs;8o4)UpCrT4 z$?1O|Q=zRBwvJEsR%>n1$NTALkADdG|LEs)d1Uaz@kft;3GrWxHVsp*+p27R$l*nf z-{4(V6Q=(L3dupex(eb3qkmZEKDSS8aRgPz5ex%8Xpp8hch3K>Qp}@IbN-*tosXbf z9VD9T{{MI@zk+g#Hc!44*~2B}`j2s>tyNLp!@_)HVoI9xY%ppZJ=>OlZho;g!zwS| z+H{)l^(nG8%|7Q}dSq0Zf9ALHI7Kuf5^kES|BcJa2-18*>AoIQNC-z~ZY)w>jaJ_r zE{$XSl1uWoC|VBi26E7vqb2{@ePc11Y{Bm7HQbY(2#+3Qx!}o$?^1pI*ZS|j^6s}r z+Nun+Nqb98^->eWdL`Eb;!^t<)94QbxI5AckG5_3m`lksnV?6rL=k zLcykm^3GbRs*y-8uPv_11Xxzf$|~1W49=NteI*h*pkZbHAZ}H+Z;LbD;4aEwTMCdZ zUA9McU&MKepaf`6hQO5|=?Sk*t4$e@`(i8h;knqH`g z!6i((FoFgrv9*C*VQaUcELI3Ih=MF?`#xXgxMGpK;?&t8&TMAB?3xOQdyMa3k1?7EF_CgJYfTpN z)<)E=Ah7EnQy=mgv0Q zWLsFAoi$mIIg_ZBxzcZeU@g=z_NJ(8yi72sEm-w@&&s(X{6x$zTo&WA)sKx`<{u9w zAPcA8gl@SmHV>cvGD2yfZ&Led643u6P84@{b%`fuW(QkW`9L<0n2>N~Q3PawNL#UQ zPHmGUifp6|`stBo*r&gIuy^fc$B~+xnE(mttneTqIyU{#RN#A~q7j*|sLOmyh#bMj z^q2#lrW}7kiyN@FBZRr=kdY@pG>Ueo?7HUAi~>TOLw&q!X^YQypcd0I`y7+3qYmGL zE%vj2RDSxiiXDw#q)JdgJbnA|>Dx3u{rHPQ-a~k9GgR;r(7)hWQ>fc?@jQ+lpJ-qi zO;hWq!TXK4J@Mw^W$AQfg=a# zhH^o((evU!;@Fv=@C49^zPCsB_O6!z2s*6F2W+#P1?>=S3h^)r{Ddrd(rl_Dd=SnR zZg%lVX$M;c)k4|yPWO$?eM<@|4?`_b0P5&RC^OFgH4w8hnh(k^f$TB$Dse(st0-FZ z3DtJmZa=Ffa{zO$H1BnYV8zN5mD%G^g&U8Zk`?LFwB#rPHqq3hD&=&<^PY`hi;ar$ zr?K7JfYYKH@;eiC15H#)&8MT1tQzpe^&ChvD=Z0s4M2H@x+9cCq{(L_yuhOn{vZj5DnXa&?nwm z?T4mk&SKKPa8pam7+CvS&VJbrb+g^R5=@=|XgDgA3bbrTn*}+L4`d;rmGMH>?tWrxXS-o|o6%(>blEa; z??S3*kdmJIt{JreCL-;A1ND#&A0fI5?y~GlX7q+`^h17L@bA3zOJ@3}-t+uOW&5QY zEvO!(R1_^~GaQqY#VU{g>cxu}wB%1kFII|y(I7r(+x&q}G`-%fN#R=$C-A?B+6TuZ zobDd5*|vGv>feWAo8wP-VX%`Corq~*;YUF#>)zv^f#b{=2~ZBWb7_`0@{`YQP8og? zw$~UQPGJHF1TS%|5C610W!M?wFK{sNC+Yxv3|#fm!wU#sUgML`pFEv5;E%pe8_LH- zeT?jv{2=lQkHT>DCBrZ84hrEC{UW8_{)B6E$WcmtV4QThvasy?sdu=4Y-v| zeP@~9MUrejWV0_8U7-szDEG#~-tjwY(WKtfTJIc0D9_I4F-eoH16pftB-RL)kbqT z-uBUI_GP2x<6F&3ZZ%JLZv*7{4W65Ijm)oZq{^QA%Hqhma+>`kOelY`kWpV9OEBeh zpjtPp3$B#nHPHIf*{AHrCyPg0?bEYqkDf3(M`dh&rE(voRQ|dp)9QQXOHoOI?Tdy? zyWrazI)1%qC0ddhb6Br&^Mj>l&@(wly0hDfO>o|+`8SU8O<)dEDqk%7V)5Dfz|sG^ z5?y{_rKEE+MIq^2?RqGCNBaFk>cqB17}P~f8;&fmak~a{n(yWhg{Dcb=qYW9eN-gpN=tH|Ajjn=Qf4(koKcNR?x`_zfTf!0J?uj)dJg?$kq-wM5 z4?nS?jV>|)VPRF}RW4cBk_UIFGNr~^gto-|I}GA`X4P=j^nG)*K!1R{Rh5Zu$=Hux zYRCctoc`$m_iLrj#{(I~ow_s-x#=s?Mkn63E8+hI9`PmcZPvYm_E0JSK?Ao}@#3&1 zPHMEa*d`;+8mA&V+4W2~nI9Yt%2uugCA@_fw$8>#XusUNvZL(lHbXhvmu5w_*eg5q zzCPvb3y|u*DGumG#{jCk&U==W^NORd+whR@_APZEE{~|lAT$aH9Do(t#hx*>=Gh1H z?2UwD<^a3s_ZJ0|ah-kSXyEsj?3y=sjhT{jN~i$bfzSfY*UT$HrTS*}v9krH@zz@5{n1=Jrjf7*~YmIMzk-P&l?@*W_*G+Xvba!D@+3x5PFSg?=j3H*{pv=_Fn0X-YuJg9eamtx;k)M%V9mu*Z`M)pfNm@ded3%Hl{Yd;25jxqks$ z5oe+GXK6fu&}UCWY_|h^a+>WH2P*B;K)|l|dEZlS;%*f$60b)ZXtmMvUC@z3G3A+R zC9xr^0wbFwnV&jY5;B_>cnYcG0(|lk08B+;8vDUQh<0Ho3cl{pM&Ts%Z$kg7gnNFs zpc%ZON!Czn{4n*MG{%3kzzbclhDNCqre5X*QHXI^$k49ugvr;P!2dcOtMva=no8N* zjosV1jeBA@^nk}0q*(%V6ZWO@JU0QAQtDBg+`xB3>!-fq!iXo6Dx^F+DQF6 zdlu4m%^7)5+iHH60>DLOl;?%7?6EGOHZjx2uUKsZbgiO?N)yE0Wvbw0q+O)*k}+c7 zDCwF^e@A&=y=o_bIPP(mzGH^k+H`8^#qTO8AAjT~j*C4eLO|qAaP1pVG zUN_y#uBu>sM4|gax%FeK5^4j!fb4AFcd4JH+{{X{kz}#WPf!9!dbg49an|Y4yyR#$ z%E?tXX9%Peh@Q+!M?O99H9rCjnoAS3lpBSm^TJ$Xw$V>?tbor!vy1_WIB+6QmE}$3 zjjI7J4Jauz$PrgQb z!Hh>*f!$F?nMWJECwzoKAcDTh0~U`kG@$|p@(@MKPSjc;aBxRnk#>CPRHzkcpl$!C zaDhn53xHb3pio*WG^NHkuuc;ig%I*+?J~of7K%)vRADXTG}3}2rKAqOJ!lz(f(cS7=j*gXAw+qq*HSk{bhatsX^Bii z%`SWasY~!t0;i8udfzM|KqyI-!}D1i+&Cp-B@-)|&?#Pnsfo8*j`Gp72JCcEl&JKH zN*}58JoRRyNa^X!1A;IMq)H%G0@CV&R=_H6Ckax3A|;V2iPYIN8=-%appkCBy2x+< zPALR_r}(~WiENaJu9`u8MW-*o2pILjRjb8a6k@g{ZeLi7u`7)=2*vC_eYf8>m94~u# zH8fp5Z6R(z`z}MqjZ(8ECy_)acwlvg6pfgY(i=~*+(<$PIF3DEPmYDrY!xvzyXmt` z4C()AvSxaMr=b>66PyN7M0huljeievkxu#o&{ts)QvG~G3IW6{C8U3(Xk9kO7DB42 z!%%{h{%^lffYv*_Z0$M+p-SS_55h9hixkuX<8jgs{2|s5Y4{mDOFV(xq#YA4!=xID z8&u#6swO`h`=B(F0RC8zGd;Yb3%a-m?-0@^l|xQ~UlI>!D?nkOk}}_FzB+QO)s3Uk zmf!+8x*}c}wi7nXeg61pFtAm_ir@DwwtTyM5Ns9NI_AzWTlloJ8zwQrESngL5KLY( zOg+^A_#n3>;Zw(F;^?gwOj*Fm7Fi5r?cv?iFg|;&QFW}^pMC2txeJG^E0w3062=6 zpm)nDG+$7J{dwP6-@J`1Dz{&YKrw?lQ{Ja<0-uAjn$J2X_Q^a#JlG_dYQZav-m}dI zF)fog^TG__UIyEu78~hHT6nT3AjiOS$o>j|@HJv7YJnT@vpOQmQzb>CRHmgC@T_NQ zjl>TnZWtg2enhK`wTR)0yDI7()_5iOkYho~RJ}lpX~H}9O{qmn-h+V7LMEnx&>6T| zYKf~}*-DF1C4nDMMGQ_A)Xcj=yw({}QHdXsdG2|Wls^^)Kn0p*!r^kCV@`Erh?;I0 z`^st2WE`v;0M}2(EZjjJNmfunAP7o>Jgh8HL7~ zcm>~1jpKevwOBlf`C}ayECYJfLh4M{_2BV$pV#7HE+X-BUCEUMyiOFRk@dfQ_5ZUF zM!3UVH}(0lKrf0J0m^mw)`N)}oiwxBp{JfTk|K~U##tN3PDXNpU;SXN{PCF~_br;c?xSJl3#$|ar<9Y_J4iTL!qqvR{ROd9 zS+patsz3E5ZD}}2F|||IyjF-HrY=jmVh~`3itZPSgg;7%R$5$ulB*0`>Krh$aQbAK zUQs;DC4}NQCIMhMu|O&U!6+b>%1lv4oxFq;0TIbWBpgKqx)-nmn=+r80a#%XiChth zfTDQ-ic)-KrjbP(#tBUxk?=$!9wpL=`Ge4nWs6UG^a zm1TT2B-5D4@rtIFBGIhhcyQ{cU;Cp^NUeU9!eC@X zK>}hRQ*i2Vxv!Z`1jr;H+jI*B3Ls|g`I5V<6 z9k387eW7a#Wu`^PK41*8QygSEV3=aCl!Trk1(Vv4^5sn36bPjyOQY_a$&B>FFa%Va zDejr#iH>O>=LU>BF9abHOGQe`AKNEWeby%_`q3wKAPh{IV3c_)+_Q$G5C54bRdo+% zG%&LQ^wOWa+}r_8{C5*#@)&bfRD%?%p~&{eq3DzOhLC2fie2WI_<#j zt(1N^$!R1^NQURf36}<>;V|S0EqHzwuA6+1t4wGNT~jsiDK?2k6U}Q%|9S?iYA9?; zM)sRxUV@NigI~C;i$}f{SF|zbz_HIAlatpIzNP1Kn#s-BcAcvhhR^15-*ivk z22&(hR67;31VdzvKj_FnSl3nifcv~+d*!)&H)XMF?9Rw%K5DvG_PZ3o-q)S&^o;>(*^slqg^U?Pu~VhWn@gm(42s&Q}0f* ztS}8%q;wVe@OnX?yvTIMv@GOL&s1-gXZZj&Ow#bGt6H-on&yobMyTf+JP|27JN9rw zw&iD^(4q6`&pKv11L25zhm7dZ<`B;fnaoeW)ssFt<6jo$s5dRHqO_02=AodYZ^7t0 zc9yvX_(CQ1T&Imaw#Z5*BiTN?vTJ5*%omcW=c>rK{`Qs@eNj?A_r-Q=_c`F47u$(2 zPQA5WmwXR!^G(CFl#a>%?96A{3h{>n6Y2Kry`!;LIDq0qTVwlUhqm4^nHQ1?p1O-b=B1Vflup6kLO0?a2v zHIC_z)ZDyWBo3g;IEYDv%gzS3TZg7P4vh;?jnxZ7bef=^30;V zq|Y&BN_*eBxy(~0W5OU^t(+{POiy`5!-FWj-6G$3>H)tf(F0`Al;F;urwh!kU4JZH zi$Gy;fj>J4-sa$B?j57+(;R|d(sOA;H$R}VnL~;SP5I3{r9U;x%aE&gr-P9+oAd2_ zlWYa9ynvFg7yv;WZfD7}Z0g)#wd2l>NIyKTz+e1a&Ow$xqQ;2>WCfd+_v+14(x+2} zdLsZM2fwu~nix%Kz9mEQFhBjag56$tJ@FzVyuinHcNHlJ3jynlzOje zY<4GN;LV*VX*yj7YT3|w`lNawotP><@Wbf5M5GI1C$=ttQ||LazQ;4gtjOff16V!Z zG?b(u(57~L`d)3O3Eexe>$2@pba)PXEGjcWM1zYMHtqmA#)|Glr)J(heQ#c$D87r4 zF0k6X@Avshe3z@7hNm|(1VY-K8{^WB`uQqj8t9WWPyI9 z6D6}mfwjSd9?d(-Y&)e2%v4@xZKD0ib|8Q`^xY(#jU4jLA%)5`3DC{hyMb{Rh5x)es! z5Qn-Ag0ScP8kok?sBrqeiS|Q>&xwgC-nUh}y4iItt_8c(({F)6R*h3tVwC!>c%UP- zq$cf3-V}8yfuY6+mhalednbyUuq6;fJ^@WUUv7_2hqnCeAJL+LIw(KGo3pRW!)&a4 z%a6?2!RXhIK!!vd1}%(tEM`7_%Ly3R#?zqdvf~a7Tsrdu>S=G&T zVn1+$8T+N5U6piS80Em*(T!8%)!GY82|8JLrSn$Ou%OT?`c9O^L25i)^K0^(8s&Rb zSe%9injH_H9huZ+HC z=4A@thHN+j2wVf5#&lW&Qo8K+)_MTLB%&Bm#KP?eH;6poDLgV=2e|BiIH7q5$h~$j;w^ghh&z#LuS5%8%EkT zY&VK+|1Pv2QYVmgwFR|+Tv^#$Pe3%y?;h@tuJ0TR`ewu4CbVIsXJk?#7gtu=yW|oq zb9t?+!fu_k>h>jBg8&kcE**0kzu$VE(J|{BQc{b5ZFuDtx8X+6dH6#}bEX{m3JmzA-&c zzv%IpF=EgaJFt-_S z-qs4P+~Rxs+R^{O=dwdk8Gw0RMZAQKR+#Q3V16ysMdJMG%s;7!6b}JD@U>8`ZIZ{a zgcmHe0J>MTCuEsItoLfwO_p4gPHON5>t8!|E#OxT*Y=gNLrROMq1n$}m&_$MuX8dPNV zwptB9{{zFY-ca?29I5+~wgf7^<&alqal~YKGz{6jCCk~tRSa1=W!^#2u#fAa!V^Mq5%j58`zw|w7yi>wmGStn z#zpzAvnB8MsAG<1R!p8&0-@q!f5WEnscV`8XTkoxm2qS-q9ic-afEGXUgx;pTwR{a z_Web++`d~)@Pc_!iN)Uf*c^6XA>Pq2;NE|Ic%~>vIlj!ZVF3JO%BFaIs+tmxk)(st z(NPu8*PI4=ZIeAhi;}iuRGhadsy=QpRC&p~Ja$=4r}FR~CS2v)ZMmKmCQ;p3RUP%8 zx>Z^9LTvr-w7*Oc*5hCH63lx1OZ_4!fwTpjH-bgERz!K8dq--)%Ore7Ci=NY`5-6u zV)&IH22+p<1s?*&Q;KjFxi3pxYmDPXJ_+TMD2x$6vdU8%^C#OcGy3JY-qD`rBVxkH zgW8E`d0M{Vo##_ZDt3}i?&zR?839P7X-IX3UJasXpd-TP&&-IIxKVJ%ZSxS6xGTUe zvg3NDR8RVfUm;XhNj9$&juplV^nyDekY&I?X_(RF+%(i&?~W|Bmnk(0{6-gHwev&V zgq!)`wzONfz##SRXi~pSvR9;x_m6EuU-@?#vY`xGO~X+yTpfb9q~}NHqk9 zp4gHd1BB4&o0rF2c9V*63P`O2K<+%NO`9KclzmVc(tN@B@#S0f#+?NLA_G+ zx8%8Wkq=m&%~K~%10~MhBB1h|5PqcE{@Cp3TJUh8e&5nYcDu>JShByAP59RI05uBh z=vHS-#pAKZGUl9hf+%Kj8c%2m`y$`gSEI${8=V$kXRx}o05BHLx`nhq)_xl6xisir zyBavnw;FDC`CRn>&|5Ys5G7`t1Ghg=R@kBxA|S)qU1=a#%j}9Z4J{snRxHp_CF%lDuyzMHi^qHtP=p6vKSaym3f9ah(9vnLXT|+8pu6uqHQoi_TCrgK}9_ zvlhYrMSvS35`a-cX_yF(Rsvqt_5es7xCx-JC>{pq8Su)*4ab zq3nSFrV(Ah)T1>g{;Itd6Qd%{LLJOT>S8QB6l2t%19v?dG!2!62T)SE6DP#KPi;-<&HGb4#{~ei%bMG-c|WnPMaJyOSAx%Ch=n89FfZ16r`4qsSFi58lmaxerHOaO47=Ay^cg7zJn2 z@G(I0)_{!V_W2qi${Sdeo}U2{n)CLjyv^QE0~zfK_gA!7aF-Fa7(YVHk}WS zWW2y#PEZFm=1d%Cx-G$2p6{CFF$_%T41K_vxs2UGqIooec9RT;YlJ|CN$NHv3C>_jzNN;P#<8)+IoKVppI~%p4P@!j*1LB;5VYo6Z|nv9Lalc?a&euu{bX z^v3(+@Q z>IYnEQ<}TXQkS1_hH!!`<=9HZXWj+Ykxsx48UQj3TwD#q<(Gc*E%uLOq12Ud%7i2s zYZRvX`*w*KR|yNfb3t;nhcWxU-NHSSYk(qzBjSDg9*7N~IdQzZ)H*gRxhNMl2l+a* z1knnKIXX3ST&n+OSkYm}Rm?aJ)};(^4UL0lUzA6#<_dWvh~=b06&Sy?`krY`=zmm8 z9i@eWeTn6zj;E68I40GOi>akPcp?lauk%34?6#<+vY=e^ft*3Vrt~Y{Ldj#KA0!BF zOwog0g3|u)pLp?tELym%ks=JF5eLr#w87@2&5}+D98Xr5*8t%In&&BJPBGdK0evNx z>sDS3nBklO^jq8xA)fKUW`JI>UOWzP>sohf1#|lGK#IK|#zMHlIuaAJkkWeIbrz7{ zYRPb0NR~i#>kv^;qZ=6WhsJn+G&A%Zk$%?UZVzt^v)*uH?hS#^tco-HPc@Ws zUVGPPTKlT#Ia8(${oJGpC_F zRUER_bQWXm)wf2E%mY#Zn~OLs&&Lk9HGC;jD?%4%Rqn{J+0c5Z*SVP=`wkpic&YP5 z!wuZ7T&)B{p^w(nhK9D^lYs|ntF9z_%xpTX z^d9uMIon~>*fU<_sbFi1N#4$y9{JpK;Fr;P**{*l+~e4*`6N?JGx~tEH@X`YGZWLaGLG#%|7JtoNQ?R96-J}%P>vBzC&gT z^qFIEkw^y0??`8v8tjbGly`-iKm%ES!;b7o&aJa#k<2?Wj?jr@h+XUv`Hl2Con>Uy zPz^KRfKX-^&~_|Fgfk_~pL z?7I6|_eEE8hHRT7;L<451}|N(gz%WrI#U%fE-F?G@l^aw{JwqM&bQGZGAgT@4!whO zvk*?nmk89^FS`O4ckShsDkKd9E~M+pTm#r-zHXcH^^LvScWOH0bNR2;ya!juYB`T+ z4v7la1AldWD9t|5uXw1XVoZa_F15N@Stt5))wIi=jiRwyuz zSUaToyr$jwly_uhw4)~?p}|o( zWlQSW24J0d^eHyHO}*EdLzt$r`?Yy>!XAcH6cr zHp|_B4?l%HEPB;^Hwax^3^nRWa)%e2HU~>}3x+9peW(dM)>HDtrEZ1&3^!NHnuf-H zz!hzH&#-Xe&A63|9TgdBAmmM6PW3c5)+oGcep_zoIAJcWZh1VbVdA?i8p`}&)Q|dl z+@mY@zu;{UgJho@^yj%ij@z6sK5p$eipmh&owPWbadDU%k2m##ng#o^t?+KvS%3Cx zFJ7o;bM=&tFtX0!Nc9s(({Dj_gxH)@gK#+wM>9gIi7yjwQwLfHa_dR^&bHuYFlfDg zrVliKAJk78pMKB6a5PSxrZ|G-^F&RkAMJU5qeIQUL~I6gTt?7wy@2empxuaj;wXf{ zeWnf>^CyB95oofbs6iz#%Vl1&R@CW#^;+MEVTk+uO=4`e1gJHY?c+aPubm^`p;#|g zber^V96GUdTLxt8HH(oJK#F+Jwyv<#10=_HQk}AIE@S~{?=0yFxR|Kt5Ib~TyKkG* z{=yuPK4S%W2&dtS!XxuWS?GTx&R`-1W3xP$Nhb=JZMsn~C5NilV*zffSn)yzh-Ztq zrX+c*rjBlZ07OU9k|nXH7%|5}`aLboMb}}9z*tJT7Xc01sYlw~DbV?cnvW9TgDQ95 zS=K$ci?l#AP6Lqj)f=n%ioSjnK0v;FR8H{*#~30}RIp3nJd{;k4lo2JT28(V;s1gq zv_xe0#q#2L_{s!R4e$QBXXKxNyuXz9BVB1cN0kqdIslZTP~{0c>{MQ0gr&r{MWRI& z-zXB?68S&BVxo92BN4ljG^f+9D z08uJ+qA*E7EzT5b-Xir;GDh?tt(PoLLG#Kf(<$!2@C`?{zKgK3AP7B=*~8Zi8H}qk zhIU^!W1fEEB!Mu7BbjPdgGiMcFf*lYSb*6ZWKj@Vi6qT#L(QQRC{rg2`~dXeNb75Z z9S-m(+|BC_NVxs3A4XON>^A#m1vqJpI>1jpwnQUoH!MLLDTwhp>;MlXDCKo8gnU`# zMzL%Cxv#!>L8{*xH~adTZ(8t+*fV3`CD=@$Nd%chhzD`aT`*fV-aGA=+`LzmQEh`G z82=A|68o{V@97YKBqez_f?KCVqindWx4e<(J(>i!t(H02dM-{E+5wAnZYyE~r1 zF{@~b&#FfKVf}@#jlTT*g570jc(FE{B`@<`@yY=*D+7&G!^*;~i=D4P?fn56<3sCs zcNwkatr2S?PWNfR@`3w`l`&wLg240<9<^jg(f{uuOZ&{unS$*^G-gqFQSsF`d&^XI zOS5JJtjw|o?@i}_e%cRY9NT6ndAAkb_KXr8pkc{^s03HJ2wP5{D(F( z+OKE%CyC@AzoPYE!%Z5k;rGO*Dye}N+J>l`a%2-ZYcp<4g*JrJ+1c$JaJfWkDq#O| z8SAaVI67db|M8)Hh)}Ip~D5i{6yo z@6u6ToXU>OZ%~!w8=%sOckT|o$Q<4PO;L2-@KB<&!2*ushy%v%3Ak2=hDzFF4}`+; z>78$0o&1O!mi2}&RB)jm+DD7uD9v1$B8=u7n@Ekk-|zW|fPn_z@jZOW@UHW~ezXMw zXEx~nyC9<+8Rp!~Q5+!fss&c0(Z>VQ}mNUGE$;KuQ ztOdR=C0oZH?~xc^2yRx~Q)70}V7Lm(p2MzZ(BuA7AmKeBYdLrwyLK0pg%A7kh;(R(xoaqJXe#;$YP zJ%^4ON;(JhFkm`8UMi@5R9TPj2^ty)^o0e8i$l{lv~^X~F+*1#21Xy{!b69$>VYI= zP0iD8Krp5&+Q%NsHGmAF_Y!KAZ}x-rr(V2}*PT7C$4QGS>kDatC(<6^hYZ|D5a2bZ zLA;#6?E?I}d~-yE8@mqD#JNgfb?AzHUONBe_y6h_fA9B5w|M$h`r-%QDjh1hT$d-o zY4`mA#0N2rl^gHy$Ob!=U2?DFVEcW~$PA%wd zBu!pZ}MC`1$YsE!u&8 z@GX4v**6D=f84Mmv*#vm3>bTqo4P>!C~9aj&KJM;+n@iWb% z7Np}J7QV*s)H8qckH7V|oXuz7#1~YiA(r~SOZC(LT7WFtZ3gFypZkR${>6Vt!}auS z`uy2ySl5`SuLPi4|x?vLg5x|3`8^6ijSU-JIOE=z^2uc{7IE{RS)lpNzICZV_ zKttwy@!h}k#c%%==lp|T#DF>bfri70!ypV2vfGn13NoKtP8#yg`Qmqe?uWm`E&t{E zLM7}R+Ef~lNIFqMBD73X&yBsrv-Y}|zxb8!qL=qbE}cxB$dz)Un2Z$C@KOMAQV)~T zT<<O==?3RGGe^z%Spe(^Vc^@qRsiF1DX{_Cgjj`a@^K9uY zr_X=k=l=L-ex17Z+uNsalZjC82Rw;K%x4rOWU9q6Sk3DlO`6*I;eYstU;NUqqf@ZT`-tv)X=0}K4;pMUE=ar&oUrO&!I(L25epI|5S!NBHO zhoL?qpD%vtFMsh%-*OIA{o~Vj>5B`QIh0R8yJLi|r_4#zVxxl_@x#CP@1qgCR8=GP zg@^7@fSpuNM30$MY_&q(Tsj_WU{f?5AMgj17A+(V7p6mtM4=xhA71#7&ZZ`eA9;YJ3P zd}Vi4Ne8X(ki}TT@4%J-U3=Zo9-bstRg|P`A4k!!M+hwY+rn>^f3&Lsucs?g=PS~7 z02+XIsK=^cx5fye?EKJjD)M!+KG@%o>{Ip=OS6m=3DU!vUIzEKy~Ce98pTZq=T!+~ z<7b9|bX`1`eqiVDABCB{+jH$$w8Kr)_3y~4?(mF1YhG%dVUx2nqi&!JEJ6L{ZMiJ4 zy0W!7`p@i`@k^T{$^drDY;o-6iGY~knV!g))Pv5~#6m#WI&Y`WkcULPb=vy3moR6Z z=~Ct)Nh}%Gu}zK=rB2~r)Udw{UcGH>T#M^(Hd7jOEJ&}@t>f|XpKD#1SOTg03JUeFC3K`J5(VZvp=djahQq~Tzjpms5}fn_FtT7{uZM1(_Z4qiR6b>&Z$UKN;3C)yW8jt?ONqawMS@qLVh7;fc~RS3?qzS3 z(7;>7{&*<+;_0_(n}9Dm%HgMeD}e_VH{B)$aWY6K&!$*yhlZjBAXm*ycOKwe=sb8i!6M4S>Zc}F7 zO|!ZBu6-p93P~ND73txknu<)`wjQoWUI2x6E#l@B7&D!S#pCtj2oq|k8XmIP7NcX% zT_0fGf-jL2tRRF26vvHFA{NiWEfE|e(n^DmpOAffh)KGk0Be9n)k={De z-{R}wp89Y6e_Uw8!4kb?sf!bI92w2W(!Ri$KIT1Xt6Ylw)*NW6pL0{pbBgtlZ<-dm z2u*Qz3#TLKz7awFt1`>rHGsezdC{Z;rg$6*EQB$F}bdG6a=FiRxdk1U)!jz(f0(fA%x9S3UyIxNScB2h?}#gOa8s4IYfIq|FKU zfPk#p#x6zs!CR{Q!>^96Afy2C)iwTrX4Ea)MpQMV}iJ6c+YGmRZI@}VD&wOP^}S&o00!*ogcO-1ERKZ9``i<~`C@+miIgF2HxIjjs5_#tE92an&AM&JsMfhzzi zArRZNJQ>cx_aYD!dm7Fm8F4pKhRcYfYq*T;E~Ov*1@wmR2XQ#dX^D1`Fup_-nLr*X zkT*O~ej8vHWL5^VoF)*Dn87hTaIqW66#>^Zixhx|7kSxCe#F)Y7&jyf!ACRUXJmqt zabUj^-7{omCG+;oa65e9kA$v)l@X#_GT+3?@cd|Ak$(}eJOj^yZwMs}EvR){o>(6S zR2Jfw&$W8RQ#KtOiH}>q@yC@7Ar|$}~V2F`4>(OPVQeG6G}~ z{nSrQIdmXz$2-NUf4g`D@gxgwi1#c<+ZIhgTy1^BUbmRAg2SbujM}`cFoRFk+Q=`v zncutB2C!0OxKK}$rSVo7T4^K$)bUA%w40ivcd)Jw?;sps6*%hHx_!q1;g6FHf?q^t z^)9vatpDOG?|>6w^&X(Dm|~WBY!{*bhUgmlmXyEJTG9t~88o0B0 zb6F(e$SWi{=T*-^BD(c?rwRsjP_QQc1SfBl$V(0u!gi?PK^AH-2=8#UenPepU8idTREX`X(ywyURKgEf5?*R3FpeLwV_=ngEM55`F=p>@xu45Aavk>hhjfS=cOEAXDteFOGlZY*t`3${`60-#YN3pAmOJU`T*KJsQsK1NkU+&kUNrkNSf02 zN(v5~Eir1J{86^fOvNU;XKCryZ-nhwi+H;LhS2t|vvV#wOrA9WF7V_2pa5 zq{y9}B=@Etuodcs?jiJc!1LW)%}*P1?n9xj0$pT9+7)mRh88?#q~w7=C(HD2@^=>II@MXvr4kE{ zL7bAY!cW4hW4V0#<847F9Qxii<|eC@(PeWFx|R^_84jwqn9qch9dPrC=dh+(w)LDZ zd*gv;!W zmJ5gd$Fuei^&GO6gY>h*lJg!+Sr_H58&us6geWjyM5oZ+h*`Kq?%^xWxS8Eydc7ua zkx<=k3(n+-M?ZVkUOlSor=M1JlO0HDT3yYDm&Y;2qaUK?(rvz8t1W|rZ`GP+>kEUb zs{nvdd8F}svFWiRFbMBB$7jtSiC42F>v6SJq#7SMxg(f+FSTDdyfB*MDrVB*ysiH8 z^WvKKP?QX@nq*U}bW3gJJDtaKp6=+ok$fJ$*`@Y`IW86)Bd*>G3)3-S0{f9#O)7V_ z017DU4qKbwW74X9G$o5s_6Q$537zp52;m|f-*F{QX-=%4TR3wt=M5fcJ&x1qDZ?41 zqGlt{5gFXY(+_G~V|4L7lN#rA>!%+SNYO_YNS0S+M`zr|NumZyS*2E4x_kPJ!_^S!P!hw>fAfl;V^2gFOMekCvc&}v%S;u>Qn5t7 zstO%6Ih5ow`L64K@ZK`%cGP$K zW)tCyWnQ2aevIg9lieOSj8%qj=!bq(f}T?%oEZ1a+&ukpwaEZ!vgeF^M^c=2#nWeq zX@N(qx-k|*rl5h_wY=XySf+2Q-?bHn8o2AJR^nd1$w>wlKNL{+cc^6bnDJ~pAku|e zO(LGoZ0B``7=+x!(_CKUtFk3|)@0%-)ysWWHw{*s(jAeWQRvsb%KOPc*&9ri6Ppz@?{O{CfK=>+;5&jS)GB6%%F zWdjUz1TmOYD1BgcsVwT9nm2R^7jSM%^~Lz8(PW>D&~v?XS03!+WN4W_W zXkxwwJeSqXY` zMJz9}R=}{$Q-t3(;yZ}2A|a#(aFjFh{8dO&YwZ|%Vp)}>Z-2sD8_qY5?koW`Rd9?i zz;)GO-T)6+5oCJ-RBG1p&>EEl9j=-&YuG!@b&wiisji78#heh}0}Wo=Ce7lUyLbXd zqy?S>V&l^mh$u~VoUx4OECXX*zHN}Sab7nAIpFdaDFl3@(XkURa!U-(djSU#Y3Wt@ zvAjYDa~7Hn=3D0y_C@P?C8oVgpd62L?>I-RwDw!1#~9#TZ!{D{@dy z_SB+sC5cJ2gCV>J2X_?2&%!bdXli8UrNm*iX?gK+rsZ~t_jtY-RTXj)-{X;RQ)D_B z2je8X;WyTU;y7{IsE|JjA4$!B%nO5~V|}jV3@nh9iQ9&}uo^nG?~W~Ufzu*t*QNOe zep}fAuwvdD+nc@q_l%IKpjK*^)1i%YAu~=#WNrmKq+^9|f*4%Ns(ciOnOczox*uF; zAOW8}7kRiy$b6x4qvM(__t^7qwN3k2s+OijrXL6Tmfc$!P1S6#MTb2S@1Fh}mlG47y@2@ypB|f+d3y zF~2KyQw&ABS8suifJ`iXLQUMeKbRjS>=gC}lfRcPd(F}@mLvNu?ZIR{kQ$iR{NVN~ zGnxnXh?%%N<^WbTOT;D5+elM;_j)5C8K>jR-M6n>3Gwdo*VzHA!+qlhnqAsksC~)W za)u>`r$=M5?;g$>4pGDjxykx} z<45t$0k+b!b^K5~j9?)~ z+I0`}D)c>E|0DF?Ss*b&EIv%&o#=X9t3d{=C`xQL@0>*((pR3C(Jp*iwcSPw9areC z8^@OKqm6)2OvL&HhN-O`0I3vW^6_5add!i!=O$vb;to~Yv*=WV0$v<5z#|m}Du*MM zp&Nl*BZ#nnpX2#a;8|SIb*)6a+F<0eU5RqM@a@=1;7g47iACrOM+XlR(r?rsS)3g) z_5|j>u$Z9*v zqxW2H>MpMsP=iR(J?rx32;rS-dgBMQRW5=s21tTq95NtIlR9S|cc<>^fuG#mMG^r| z#YG-wxQqdhh%uCP_Bk%)E&Q0LRA6v^Uh{~TNz%D)RQ~H`K(Yk(3@IUG_8s6Od-$}? z5H`7j-&R^8HgVDldl3Q40g}+(I;*m*4$BfAa|bvQh{Fal*+y=k5*aT(iC|R`=SMPZ zEuclNNySP_MD&jH=#A+domToS9m*T{+~z}v9W+P)h(Ziu{q+4M@yY=~QNpt=ule

      28CO-cZ>k|A`#T_Sz|DaSTzzD{2U7ikpJ%T;sjfhDa6qp3K@ zBkiht+6`Bi@thhJ^(|!C?m#U`6WC-ohJQp5B84@Egw8y`+dn&yBO2P%jDH3oZc?|9 zZfetF4;A!%tA>vXlAh8AjIJGOc^0;`Q-G`_+F@~tg?J=3bj!EO{58Zy*T|Hf0Rljs zsw_9*z15UfZl24wSbcPYUdcho2@R-$bZ*(Q%FakzolC$qLIde^tg;hEty?D$3J4s66$JnlDIng%0YMXRx$@0#~+$g9exHKv9hqd`wk|Jw9AYLE$ zUkzNNwi)9JlL84yUd%c_Fld(t)&iOXr{yI;)$s@XDE2_>fiU@kLo;Mbj zGjiA?RGHdYaZn9cgfDP#c?RwJU57c#U6oc)J?dp zldvRzTLw5CSRlyzcsU%NeoTBG5Ee}`f}_^~nLH0q|4p^c8kSc|`a;I37wG&KsGpkA za)@WbK*=qPY0O=X<-zL+OMo4)c~MpLiRLffi*2hulOaxhXi7MY9B4bmewty6+F0d5 zvQ^=*vGMG!okcileX7<^KY)f%=UH39d6w-#o0ca{3EY#l`H|wK_4EVUa)CHW3yc^Rnb5`-a@2+vXLY1{acyV8x?izh86xsYH)FUIEZ35Z z?$C;3ytV^YXJ@Se#&Rr+3(PxOI+t8=qP1F`PQ--fv!#yZ5uk;&N$Z>>($aLk`|=6qc4B_<)8oTH^2Ppmw$8*^BXI6k9>;&zvZNd zH2e7#pOb`9d)M&9dW2sz1Hv61746kI)(lVabB_8NEH&)ceuUS3X*ge-;g)T!6Xdj@ zS|J!8h%x%uV)@a3O;`IDdhZS!ZpLGAlnXz_2*4?m(N|H-{Y%qtT! z04~yX;jf+GP z8UNzjTJb)YRk5;EO$Vu3!$h}eag;}-7lgjjf%JcZN7Q_|%s2-T)=1U=Xq9P(%Pdjv zLMVN{69(p8XfNCk@1a4%$J1XV^pD85kqd1R(Pz^9%)59I(nr!M&AVV><0E~t7r}@3 z;77_e9{hbTCVoM}EF33O@?7;fyc**+nCE)Vv7FVv>Me zB%=|dx2}vpBog!ZW74xjjy7Qz*aJHszEB?AGh+HS2!&me5S{CC4H)T)IPTg zQ&NkNkjmyBNn3Y_Ny(eX9i66b#3*#<1HWGdyWTFm#=B48=Da z;ZY+R28hB-=c?d1_m^A6!ntmUPR2sJJMG6D*NXU2v?S`qAuV}E9L`ls?i`Z4g!8h4 z$5K3g{THkE>9FE^P$Q7)lfHU~6QLnf&&>uT*A0kX8jtXmc6f5zYy5+6eel7)1bUx# za;}l@y88#|$D|P-$O0!rYgt-Y05r8-Qf$&KsXLzjkdv;11eLY52kEkc-KUZbDoc!K>vCrRfu5A97#LFJrqJR(1rab1n!;lGz zXX5Sc+4!y;^PCeGXR!GMgKD zNl?oz+i=^9+7pW-S?ZIDYqB@VDAkt&CojciTqM5lRp1-I%bw2>RdeCtF6|Jw8x!m$Pxd38yQ|`8S zx&7rxHktOap<0M~-&RPK_Rf{6dV9|K2JCQ9$D?|+ULfy}x~f(=*V?FNr>d7~9gB>V z3iY6Njo=R)8jJo-WwCA0r}?k)m{ylbfW#_ z&{{JlV7dZ8=0>d$?K_m54(5m7dOmGu|B(HB!cK<@HC356j1TSi*)Y@cu!H}$Z^yWI z7qsq=%~58&o=_hCd)#rWtT!BJ9OJo;)80)f@mN%l-qy;q_Q0sC6VV?L{1@kxF&Qlmi4E7X+9HKp5^6&Dd*f7it*^y7gp9Ous*(|K@d zLmIn*kTfpKv#$w*386j4zaQiiI|z4juBoG*I$#L_3>9f)hkD667s_}->DrUw9MXyQ zb%vZL1eD2?a;VeguJ(i5)fsyJh%y=|lTMs2PraMN=}C6W38Cjqszi7x(l~Dzfxed! z?pB1F1!es2ok`wB>(9KTJNG30jK+xr0l)u{RY)tf%1(Jv>pq4(OdDeT$QpugVOqAh z6epVrImftUV0F`9N+R!yZaSVX@L05|^%RMQl0IG+XbkeEsS$>-g-_k4g-=Gn9gc^x zAzl-bA^!qr1gpf`C*Xo{UywnPQdMjq#dX1Ogxn#sY`AFB7v;nxx0@i-Cu?AkZ@nzzZm^`FgJ(1{AeXQxX=IS=xz-b#i@JSLUU zMr9L&v)xY8N=TLj*;2Ty*Oz6Nk!2~s)fEo_+yCem7xnw10lXq^jhM$H#-)S4bO_ zI74(8pG zuMiSATvR8E;Cu)6obZ5reJP*AaDd=6)k&C4iy`rxP94Kr_hY8Ik{*zBQ4)S~fl&*T zJ|a(PT+3R+upx|+3Np|FeDo4SgF|pM%5^`Za9Y~`l@C7PoB6VBHYHpO7$i4C@<{gG z2a0KSWY{CQ$j3J)MF)I(A#H*8S~4px{cp6BLV4i*x66NGa;}JFkr_)&5!3cfB#^Fl z2zl(&Ez~=_^dh=&2d@T%Nbr3V0>#+ntWZlN^aUX05Y=<6FeBw&$5^K(*KjZy$a{-i zeXwe_dGol=iWLpT3XO!XQN^xW<60h`ehR;C6N6Tx|Ib%MCrew`@Y64=hT-w`1Q9LyuHg_2f0m*%b zpwyq%J7Nwm3NqGU78Wa9VmI0G$ah?4_QH@y8Meu~q&Ac4*U*p17A70(9i+B@`r`wG z3l?g%RB&V>U8HEY?M_{~2{4J0lCWk;0!y3I^d|&k8mBb`MGYXuj!ax+J2p?*w&Uh{ zGyG57yR^vgKy$9R{@HPe=Tu(fE_PhQA?7cc3G_P?fwJ>h$>>F-N+Je%2zX04#opE2 zy`GL;te+9I`D9V#xUwTnj~79=;MNt*q(?MHGj<{!qXV`Gyg~%? zhVxPkKRC!7_(=P`llUP?4cm$z@dviSmu+4&rfRHWU-P$11UT1*=jhW4xF7lxQTp)g zq9X`!T9M7!*%Hg|KN1-m-bm#hbf1U}W+>;e6+$*6nNB_tna5@V**`(|2@Rf-`6wK? zpwl0T(1&6j1c1ZWpQOIB3+9QVfDJ?&bowLF1$df3efon`H=+u07tfW+C(y77%0&9p zHI*kQ5PtvB$bO|iZQ)W5pG$4HAx?`9V1(ks9gyQ@b$BaK%K+Dx(SiI(69QRv9UW63 zmWkL0V$<-S#wTPIm#;H^;?x;a zYhB(Q{W&dv75-^G$J^;B5T^EcDi2hi8sxrGfpmDq76eB&dav~0fHO&lOTS)vz!j|2 z>a0;Gy{qC=q3-fMT*UZ{{n*@9E$MFlC{5$7iu$ozl{*aFYvqgFJSZw9_ff;2(^7)M zTc@0~CI|k0rfFX2@+{UAxl>1loNI!D!7=wVU3bX2dAnHGqC%Zm{-m!ojpA^D7YP`! zmIsU@T{{AIMBq-R=s1O)GoGNg764hY>>QofIWIBymFam=@P9Ocqp;^Cttp-#1Jcmw zD6ScW?^Ik`oTNKmYo6}OxDU>lvODHkvLmVs}F{is@9V zRj$MKp(1kT6n5$;`EEnIZ;%au=Rjb26lPUk;G2B+>Hc9`-0Lleh9W~iE;|t8A5@^+ zs(UM2?dgaj9wnV~Ip;koIra33m zZp*Cc)C^lXzO9&K0w zNV`mDHuisg-_f<8-jbXUJDQm|AIfT|ewR0x2W0d0`FP3BO50<{UlO0b%>P+|by9hm zJmi}(85%mv@M0=;ztHaf((rlSgY2K3D7d3TlrR#3J^eoE-{y*@de)9As@oOm)siQ> z=2X0OBVq5E@ho4SpW;u#kSHY8^A^C3-DCvkcd2|3z<12+@@Nx@VAUR;T`By+AT4>e zwbMBZs;<$fKz@C;0+}EEH0tg!!MYehqS9c|H17E8}fB@>n!YdM<*Tw|#nBbu#y?C5_;08f7CeX1b8<>U%WKn7)^WJ7e z5WYa5`+;!%RXL&w#xy$mU$va%@OCBs3zZ-fAdDOut}~fVn&@@u$KIH!80$OW3O)UF zi(3c{U5+?xRUv|WpmfKS`3Z14M^&iDM}%ioj9?Dz%?m@@4rI=ltYWxK&Zw|2Z}vJu z40l!3yK(~@ZklIDRTd@LM6~;CbLh#B^sxl4LY=~w{dK{F~n8TcF3G-{_Fk!xV58pUaT2inO55VB)VLeD$EQB3JE!DIsL;9MgA z#wFKF6-~#Otiy+lu^B+O$}`!qRXZBo$bC)Cmxu zdQKr|$12)W$ju&rXMY#CT${q)lfBi0Me7eG8MJA~TqW{iV;sAo+h$hMb)jOFrN4F6i^ zU?#V#xRo>Fm@i^zXEoPFhRkH=bRT0^{hB7lefLNcR~7>MV)4!n^h z0!slQ0j`t~Um=&7%tq*F`4NXgR+BVJH)i%T zb5NQWlNPX2dl(~dKfHrYm7&xw%Z^!f&oEe>pTLdjI4e)*DV`b*D{3fGFL7jXjv!pQ z_~ae#YfVF2=P)6quYp>{KvhG-lIJ=NUgZk7`p5imn{{Au)bBa3GlXsV9k9CnE_0j3 zXbuDPZ+?q5GWZL~-nGXZgg-JF2|#jQ!Suuh6Q=;cHSu!zaz$$L7U`PXI@7m8aKkum z6>o;5$k11~MAnHrA}^VYPlRZbJ^?cRX>QwkiRP1Cq0%&CNC{Fg;Y6yp!YB+SpO1vl za+_)nxdepJf&M7e8U8UWl_*4-4zvm2oM?t_yvAl5Qm)`(0|D_l1C+D~e@76lr}+SC zde)5VFBp~!(H+Z?Ws%7NDDq_JY_=uD{SvR1nh8!n{~zbYQN=qv_};0iwbk4+|&ueY95# zBKD(aTG5w4iiGh$I_Zom&ugG#6)c^!Dxbdp7k`c=H0o>s|A<~jafDZb@$bnqv&l)Q z+#Yv@>6UE8Wmzx;zBN6`JdW{QAv$1Z{LG+5LJ~uWC!?63*x^io0@AF15bZsaon<6PSHXT<#5sNM-FP0g0HiiXpy zUQ1uTpU6v-pO`!lVMy`U#Pn&aiaJ+yPK4o@&~)F2loVnJSoVk42q&G5N0jdSPe2Lo=5=wQK#yPaPs4=io;nU^VjFoG2dtPHeX|{hQP9WovH8Onu<=qf=%ju`N(er znO^JjwK6I(>SI6s7~SQN^&5phIjr7epCIMzm)Wez>GwX(@_wn!njEL^(=7j&+N`Vd z`F)xe{8F11NL|>Y^~!r~84pK3k%zz3#)ZSt{XPr5ft+=4F}8xhj$Fg* zGt&hf%?{}UXvar3`E;9S>)JY-t~{LvzMmj>U2g}t9hJhP1GR5Wqla62m}pGm`^dX9 z|6B_lv!zLo2ksAU2{= zR>F?3b38{9b*6~506o$wjd-9)o)zC&ssRw6Z->4yN`C0{4b;&tWV$0)=h^hc5#4tp zHw5(2G+*NLqF_Jl5TGE)XX6ZXp54(Q1FKqP#SyT`nc`5(VP*tjnD`8e)ES>qN4PE9 zT0aBBgS(^Q;c@~*9}EVo|NIzB0EXqooOs9|r5kj{U1Jx1fKJIsg(5=F_X6Mezd!ik zgOe)S%-U_?NO~^G0$!KZo|NECwn1WCAU+qVRpM^Ou&uAY_q*0t-~HZK-~H)V-~Fwx zzW1Mh_1)hFirK}gzxW~kBzG&8^79{7^dYB3@zwXfPe1-0`VrY@t>foE#NRaWzxv+q$q&T! zx2z>`MTjHNv|3~Wr{Dhp|BhDu&R5_4Z09i>{$m=E-ygiHxH!|B|%`}J|dK8j!)RX$&G!y${szTV!Yq2hZroa%3ARRsd;+gRsCq%o;%7 zEKA&MuX1%pGR_xj4{T(>igfK=X56S>t&IM_JE|Q#(*W=KJ5)KB0pzk*tDJK#($uaP z_!+5=aJTJAXdN2icL|4Wjxgg_N74>79tV6KxgC>EPsb#@2dc2z01#}Imq+?}-oj`q zBN|23{94nYP~eu$*DVT-Fz8z3b^B%4n&(EviLSo;jyWBs_*z8q3j-C#0A=MCMMfBQ zE%Ha9k%cLappG3sGgRS?mfo1I!9AYvfE?J#BXA=f{OH9-81*TkE$wsDgM^S&ZdXk_ zPjp1(`y8GOtGzm~*W-<$N#0K|4sA&i08>D$za@#L#a+{4xZYNbK+LVP{SlbUt=3%$ z#=UMw^g=tlAn_&W675K=&V6|-BAZ2&Xt$SP{#^^fv#(o}Tz`dmn{!m4LehKWJk9uS z*OBN%Y6@+xx+!GZ9acce!|e6O6J@ep1oI6gxv>S#8xp*<$3$+|96FD>?bZ#(k(C9| zem(~7&$GMS)c`p+Ckh^_9|1-9cI#koQ@#v>(k0v@34~{)*z*r&x9J*EcxD2hV zGg4^7VX~_^v6Gn2XI*o*x4Q9obCrYUg{^hAxBEBez_X%H9H8lV(gfq1zo3lIqg=$% z!UfhIL^RLT?D$BpoH&vfnYITX=-k7zEm<9-EXt82jz*V&E0t>Xa~?dcab~KM(rdCGDpss>V(v;&pE7}ARH%^>s+q>@sBHBo8$86y0|cPBM_Pt|DEH+`yglnxxhSY8`Lvl4d&QMAxA+N(Jo( zNZ~x=@zJ+*fRak#m$+#QfD{Od3%>f0|Kv!2E&-@rIJa#$u($t&a`aisvG1EMcgR}6 zTpKbiw2M5onC&Kb`mY;fvG)YtCw57KtpFfJUmHc(3n2>H{I zuwSy^6Om1*+m5dK#wJ7BGTrn@qBy)*H(GNDx~qdkV#)c>SmSSzM(F$g2!B^`6LAGWbBXnE1W#P1g)9#XrsjCwK0#Gy%Ad zfsjX?pd=#Gd?P?84)U5Jt3YCrohC>nfccMsf$qeKV2H5kL%KN4Ar`33 z*!%ns&$b2egR@W~-)qPdB_T2Kp+>e@!t!(w9LZIawI<)dAPiW(#EeA6vI16OknlJ~ zfn!+T>cN}Ra)0D3IdCN8j45f+E(Ps_6SSxe{PJ)Fa9}6N-?iFotvEe|q&TWS!aoq5 zR^*JgeldmB(@!3bm`QFwc#ceGTr(t$KSgToZEns&Gr5iqbov=D;S3}N4p`-opI5lm z@Wn>TCo&4F6>Wt>1V<<{1H2doBYut7L8Wl@z@9t`Vqm3blpFRHCToQ3q^GCPsuD^0 z`gj3pO*qPO`U;~j{(kZK->P?j{Z7C58|uvTzK&k#dFlM4ukg}Y1iL#`r;nYG)f11> zcD^R>Mj<^NfUci@e=}y4i0EB*2WB1lHC`*=`eZtp%T@4)1J7kft_+@GgbU$(ec|LG z(zqhuz)h9YY0iVUJmdGi`8*O%k&$5oUqgIVbr%cHB$1y-v#ll0GMxeozU~$WGvkP6 z(8l;)LyCk(aFZ4YjMSxsRL!c&%ZhVem?Q}xDYD7H+9uJ5H|b-YLHN*a$hezQL&su8 z5ttjdo9+l81nou3LOo{l>O-JDYX<&H?GLPiPL>(Di{1yCJbZ>+4r|AftM5teJ}{y+ zc|0TU`WuCsUieWF(w~>*IXh_S%UMGE?QQWz()v9+!vck6PjhGo*Jf=)3Ijlf%orR= zQzs6IG$7CnC;fMj@m`b9ho2`4U&qD%4O-kbc!|*dFW+RS4)$8J5T>%{R0Y`SF4_$? zE3y=eMn5{Fz%^fSG9-k0)t5q2+4)p00LskPkG)e`{b*eo)59KkP-YzoMVTIa`CEl9+-Z;7k}Z8oizRMJUj$0emE zKw6ueLW?Z5kB~A{SL80dSw(cNBcnuRKA_>O+)X7rt87-7*+%}t|Bz3a`&uT-`0(ID#dr7!5>zO~T zYEo4CWs|t1o}z4Iwzvt&*7ys(`NAu$Jm#DN`iNPXl9|}1ydA6k5pRO|V}_J0q^c-H zJ6Sj;(tMSz3^y`oV3tTLO{Ol;Yp5eDcp)pGWN%YMDIT82O5@5A?#Ti)OB_Omu z)$MsiOS6{twizuJ%$cWn1w?^QkQ=cExIm_BCQ3J?|7f_#gq=~(dpmSuBo!?JkGoH{ z^({u72u59YsVvIV8t|X*vF;;Um@t8%ok-{97z{Mu-B(%iO?^9%54L1^qbVs4jp-`Qjx$>kCBt%KSx z%d+Txbb`RR@wFE@2C2)4k&5U$6m)C@skh0(plM+NP7UQ8-}qCS4@=3>x`7Ww0c?{I zt~KLmnRmPM{gAYBU+y{a5h#+ST0K@vO%!M%#|9OCoe|OAj6<|6N;%KDm`;?Lqk1d0(^4VQ+N~UGLA?@-=R7L*Q zR0XY;r|EHSa0S~v@l7}c z03vq{FQIk2EHWBM+7E6Do%)Msh-}-pWhN%F;TL{j_(+mSge6UwnVe?w?j9;8Tq5G) zxrXo1<^sWpK#<#MRle;*+DPfzY;Mb4Hq>b^V>B%^e55v{_LR4$)mT`1Tb}kXfw&Xn z-}+U3%*_xmIo0U(`+IjMZJoDd%9}NHBb0!BwYlK(A2utp#MohEF;0u`bVM#6&LELP zWTS8`XWsF#2zwUUGDCktl(=7F&SSYW8*@X9d3+Iv;B?OVK{TP4Bx3K5XgrJ4MAEvE`5`tq zzxuIoc#cG##U3alI=`ori~ruV@w%CXXt~IlQUyJgyeS|Ao!uB55kA$0E30!c==?+CCn9B}r337QqqMIykog})d z%7;>M0%+rH!)4iWJ;Ed$wEDH$gJG$ltdOdLKfKlPT8;U zNT*3Z0osMd&op?1;HQfbO~0}o{ni4f-~2?n4zD+#>0;mFD`TSjt6j$EOb~An)K%3( zns!TWrg#T(9Ix3*9!iP)GFiuG01U?8`VJX{HR&(gw$2*Tj=I^-5=NS42bm;&V$!)V zcEiVJxM-G z%$D#+SY|XT=B6yxq?I0a_4NCjy!bLYG5&dX@jj#!x9YZ9b5dF|3J*w`yXlpUnjtZv z89~7o)x*%bouI_hT2IxnEmCB#-)C84B!hn@M0xLDz)rpmDzr;4sBKxaE?Q&Wuz;9 zP{7~H5LStoA(Z12P}k;;py;JOc=I2YSydsXc1Sl32)hoV5IzrIeAeVUX4lX%;PjcK zKrJCZ){v|Gi$7BbS^V(g)jgITG7zQXbQK~`(*f0qCp>rVW>uFKu~N(ILYu^6j>}E@ z5BJ07L%V@P*vDjm6pX9JozoTCMsF|#QfGwG&oK`LIZcD{nRj{TY4-FZ5&-GaPe1zN zx4G^V)`H+i6?yhZdiS;kRQt3deOKgl)hyeU!pkLghxPy@3*9}&1qI~hPZ<&R>9Y;+ zsp`k4&ra%MKGTLynlf_#?*|`zz=`b-ve|8LnO)}vGMm%3c6iL>IoY6XwHrtCjy~R# z{_i83uWz{1C_(eCt%0vZKVwfqS~GRT(f)7*v;{EbEHXoYu%a3yM*-%AdAC_s_ngAr zv5|J?*ot>*trd{s>LhX%_+IpAu%_mN(fAi6%+bNadmSh8;jMvPJows|-8k4! zgZ^-lqaI*rq#TgXE(%vJ_GM^(PcILAa6a`RYHHRcYtF^_qQ z69WG2I?^59HAVJTf6MQg0~bVDk*d3gi1)xPnfxMde5CscA#A_yXHq59+Y22Q8KZM; zv%KOwB{Y?R$t0At07wktZVyyp&l?z2__L~e?BXTdNSmh5H{Ca%or~#UI3A%7V=$-- zF5hj#@1C=!b2oId$BKr#EOL0eqGiHHi*roG&yWUjysS83B%b#95pY-5@F2p1E%CmH z7n|zDo~RdgnoP)kAjN~xmmcuIPlH{U#}+v#E&4(_-<4q98S zq^b~NXf->NEI)Vz^%d@lZ2y>J?j*j!dDKPy-fvMnu{TFjH9TCGYr2n>a# z;?9c|@AK>e!2lq6CRk#EMt7hMJL~IaEWzGEH8zglkU0vAakJr27`XHR7Bt&fF3oiM zoAl2e7FzzG^lGSS(`OZ{+^Y>K8)K+mgLJb~_QhxVk%<(SM;g0)1or9~OZa^i2OQu# z#v*eCHIbEc^JwCU;*qSl0q>N4G!>1(y@C8!Gy_YW1%=d`Y*&wbk$j_4%d$D-pa14A z*B4MUUjgFb4M3~Zrxod=RZeD3k*|<-KzoxpmSiQNuNYvUr*VuL8qrR)bvhoGq=*9X zS9|wK;-7t9sZ%Q5O^{5qZ>#twg~nh1wg&6z5!#E4U;h=Yh3@mFR5Z%k)rf!4pXCQ# zs{e8HZz&+Yd;FVx+AS!j>juUTVY zC5sg;`iCLlSxZ%{NP(piF+1%;PUX*~x=yNZhYKD& zr(9TWG0W2t$#gOdI0}aPk^wnQ@Njt)?eT=8{~J1Q16j`%^PAUJXYk&E3q1cE={ePL ziM0>}uu!noFz{Uo9!b)84aTxVMi4F0U{p_ldbryU8P0#65FQ=){bca5HW)Ut_mJ6h z5nqeif!qTFCt;z^dJ(#Mes}fge;X@Vu7HEfdCbNGVGnZ~P}vt8^i|%?19uP&;G=E5 zR1l?79O)chm-uz#LRXQMOmVAI*(UpNm|NbbZMb4plJFX6@aqq ztx-RHANhb<(q;f+Y{ECHQuVAeGX?=tb|a3cr0wBQ8=RD6*%sD@mD(IWUSE8cajJqf z9D)z45>YkzCL_ItFNM0xp(|Mc1=ivi{S+zO))2;RSq{CK2+LrI?^8DG!i}a$L#m9U zsW&;Wt~a=_Gx)X$FQjXQEg1PXW9NQ)rq2gOIBow@nQ9JPjj^@vm2x8^n%bi zgEnPLnm1^T3~4&a9z9rky+WUQ$kS|ht2h1F^c-is>Mo~l5l~Am4 z*qG^2TO}eNek;NH(cwTo1_JiWr95a+$kjpcFYCKmI<*ws^`>yc9OQ{xSNxg@lBoX7 z7qN^|$nL`Myygha8t0n{JNjZcK>nm@wp5p`)q4;MMu{8u-v}~D=*_-}hgjau$(C#Z zTy}6Oykw;=wc+Z-N*%)Oa1AC*yb%P6V0(oAte(iT${n63_M?jYq^l^Fio6aH8+t8P zNXI1Ty3^xhe6U%kOYSo6Cx?3g80jKO?qa-W`65zD(S%M^$LK z1vJmu4Vp}|DqpV|5LU}cz+L!}SwDXu+GrR+sV1@dceatcwIB5rg(24zS{ZDthTXg6 z;-h=Yk$T)Y7|p0IuX}sZ&wgEm<j zvuDrrEYUTI-C{~|f;oDRle|_FL^yfMeW^AMwlB&v8FO^JNQyK;xN*Y~evNz;j%K4S z75NO;-ln_Dq@JLw$Cu$ks%J9ERwbr5*Wz~5Vb&ca4+C1OWDE^8meOtJx)Y8q@ah|6 zxF}?P_3QMS{d_x6g~CP0F!(q4qwzpPZ&x;bFZuEuj{2FaEi$`(;$Ld6?Li& z85!pc7hPj0~xAJ}%NTJ+D1~z7sgJ6&*#^=&AcgHJ&ZigmgX>1=dfxyF!Y(nh~RVysn(SS5N2I(D9s~#}P6|w|PB1*8Toicl0*yI*4{L4=oZG_N!Q`@!}he zp9(OEZuF+FBo3qwQne)Smt2eB2LGX3#&)+~+~~noT`zVi*244jBvi1Gvd7)XJ=lL{ zUU=6hh8%<|wVSFCS9%dlANUmGHD#2XlG*s~^A$PT^#JZvg`zReUan;Yb5}y4M!W4Z z%F3+{<#b%XTm{?rt8z~^c$)JGhRkFs?qx0wq31|CwK4w4sLJh zSDhivp+90@=uj-tb%lDX0EejE*E(Hjgq_}<+p}7*7oF5b$br(_re3f{;hHo4IkdTy;Q4M;% zy1sxCbXWg4C^z|XSAeE=@=R9T+hyP2aYr(7rY$= zE{P}LR=aQP7)umxHv?-=v&Plba(U?l^9~dJb~V(4Ah05D5xdT)8vpAJ@Xd}SZ^%mE z6&sFf2s%6B74g5!o@XeQDh>Lu8?(RC*P1`ih{y{eq9pJ}HAMaVd1w_<%`J=4iDSnDEQC<^<<65mAlM|8CFzz~>cA zTgOB`-3oTdQm<*F->EIqqv>fxN>+232&rp4Ud8-HjJM0sS;PsiVaKLnup*kPjyu%h zbZeOY&i8ok>fRf_-Y|r`+4&1E7>USn`gyc#X?cl=rd#rhg7@D53@f0Ma5VoNw;$ZJ zz=ig*JYPmnIM5C&8sT>t058D`i#_(G)HVE%-{|m_xbL{RCb5W1>~P_#J+pdyE7NVMEUkgh z=!)Y;2_c;3WsbIZP9WivYE0&mg0stv>Z)=boFapWC{hF)A|sEb7`O@-hU?VqA3V)Z z%;ASZnMJrKR9qWuQ#1(MGPwc#7rSL~4RoTqmrf`5q1hi^bd4@Z47+WiAogZm4Pjmgxblbwd zrkZl1fa4;6FB>-5brL^;547(A89}}Lr|iS9)J(<`EmOqBp%(Bg;|4r}9GWp~1t0ojT#g zyx!)d+na}sWY|~?T~d|o1xMzJF{w~HsK7N(U0*Ri1C*z8#nA*=n5?D5@<)KFY%nta=h z?3nM)5Jp~hkQ{OcUVZ8yr=B#@)s1wm=A0KC^@^jQQh6iz{fO5%l{EadAhrR_lCY@d7=Oc}HuLRDqW2*+2arty5}V%E@e>eu5#FzgWP}{vtc?e6cJu z+6U@xljM6VxP?-q;T(6^nvYrDP-~INEHCwzTv|1q07zc3#FYB9%`!e7C5L#M7iRtR zhs7y_FW{j*!i5<=u5<#J>}w^jKAVygvmL0|7PoD*HD!mK6mgp4#$Wx`2Ok{8jFS|r zU5YjBT?4n03Q5Z|ykI_*_0tb98c#o>!;Ch@r_Yv%xjN#hJMxj=Cc+rA{)4F_7t~~ZGBBhAasvs1;2O3ESRk2Su z*pCl4>FrVDZ_u;yV2b^8)qnui#(gX7YX-5tZa|FYI51~4VEjpUJhT`S)z-9_25?8G z!)#vlAZ~A{dO}W{N#4yvz;WaUnxaE|S|{)B51%K@&H=C#Us?T_3o7SP>y-D2Sk6?*-H2z z!wc?^n?}7efE-^tZ%8QnQrZ>Ti||7eW3X>4nseL-FIo7yu_3>v?$hj?%|spBGg0^D zM9x0sEEYHkTCZafbkGYrl0L4oGcFvb{BH?E3Q7eY!?hvGkxsO{Qo=jzJI;RR37VRgVz+sTBQW@)ZOPcKw|>?a6HC=_HtDX!ekhTx$oR#zL^b}^(JtDUf@zU$HvNyA z-B5SFCj)}Metd+X+?9aix-OvsGm%;MaI1Oxcd}ly@y}iDWQ)>NX;M|Jvsy|Dw}{3P)xN1JzxpL?61H|59O_B?-*z|DUTe$Jeq zA0q8nl#DXF1-HZ)-xgzdON!nb+MSS(Eij^pSC$WJ0m>^n+&)tV{i-jKa-k6oXFH|a(GYF=7%r{H>;z0hoD!y zklb5&UAMFei5D}BK~i~*3$1$w2C!=LVY9RpZav6C2QpMhR#Fhrt_+V%D7$=}Cw0=1 zw=dWC7BlIaI@6=+d$LGX-7+p7vHo?iR?6}jNYn-EWlJU6&IFc|iUlI9kzG-zRjkcr zbF`MrC9_#7YNHb%zTdU!?6y`pwC|iV{g^9uFs@4?9@uDr2(q_TGj5IJ$vwUMp#>M? zR0l_8)cB|G*8u43S!g^2YBh3;5pl-?C{Q7=a4nY4BN#!Q+3c5Fq5q%g$YFFEfFo8G zyVX}@c!{4dau9Z|!ZggAW^0t}R8FI_V|eaa*ab<7VtH1>fTRplihKMvVdeUl=VZ$(UQ-tkdSN&`#9yep4*XUJCf#(noz(c5*v zRlyAw-aK%5#@^t7fI5{}3;gkzYR?6AXrBJ?K&lS!4C=67nZSP|#rFUBn}64rPYzjP zfcnJ?`>gzah1i17^Bj~9678Lct;lK9t+;n*@#%`GHWl zo*%PRWBWt7w46~Kxd*W;Jpg`&kElFn5yT%F|HikTN4y0rbBz=G8WOPgp|p6f^eY_E(h~+2*`9e_NaU9eUg)W5zbRK}hl6e1a@}hN@laag z3v|xV5p9B$8bTXQXp@0fDjub|8puN@j5T>YA$LYC6&SeQvwNV9!`Rl@V`kLeKrMkH zItR;$*o)C?{|0d|5KD|qqxMII7=^LWkgJ_<)92)IpFvTFWnW7?X4s6L*dNB)M)7vP zY-=5ReRI5$NOC34sYzKPDW5n{NFvB@kO#=`E#%3Re4Iwldv3M_p6dv?Yfs2&^X)n= zX?SiD`#RC0CjQl5<*QcMg1r$ki7+wm=q$OX(I?A;gH}EPCJM($a#|`pBJCyP@e#4o zBb1XUv3$p(&TLA9Be?1kC`&9IF7C#Y;t}oA*w9Ep091l;$g({$2a$rINFq{0V2Z08 z3_T~Z;K(bp+Tg1mIF+YxR+b8)9u}KDt36NW2cylB5RBu><1;RB*z<}g!6?G z$-ANB?x1!#f|GIep8;{O?MO(L8fuIC99arJ%*5M}2PIlJaK6)}lPQ1X9MVFP*Dc(c zz>?Tm!Mr7*OD(BM+|-Vox!swv6P%T1l$pqA2}t?|fN zGQK-B`XR%GwvJt=-Sw2x-nuTJlvdVcglYNv{&)S-ed;q*@Q1@I%F!+-9N_F;~K}q;NP9Zh+ZBwZF#|k zBLL&2u#CGXQ2mJ)5Wkrj2 zyb9qHlAVxKYD7SDtq1Xpp#4gk`x84<;!3OuM{ z)0LZ+2in`rdQa=1qjB8P=){1&8jnt1E9@p^rcSD(2*&#ZFPMH6tjczSn}-50G-r5} z&>+s%V~~tiO_|Yp+?6T)C*{L_YI%s>?@MBvJ>j*h&QD}kHLVn<)1V(Q+1vDxVSGuX z>56l0SnIYZme?cQ$r_>U(~rh--RA{jzG=y`dqqb@E34ZfZ0?K{ z+o@V*`-^tQK|}>mNx%sKv$Zk>k9yh+z5}R$N7XqF$*s(&MKAKX(WX6~wrRvpoJ{^k zyLgPiPasAxM0x8fAeMBm{*9W?V0nr)ts2R7jX9;;GdPs9e*|zliW{? zrSc-#4XHF(+Ie=n2|#>t>ISzv8|}t(&eUl>XEwkxEmRM+x~KDF+@x37+-TLgtT>bb zJ}M(l33V>y&M^j73LlWs*wi>nFkxselu(6lb?R9j*F%K+7amP~G8y7*)E2-Ch2Vo= z-3zcluND)};#^S;H(T-ohg&1XAhy;1W*Yz$%aHy@D4|!4pbZ3BPP)akn#|o7x!h=o z9%Z@U6ozZgRM7K;lQ-?2G7WL=!AXT9Bxci>wzqXv?g0vP;^3=yqkl#^Tez=`nb4w) zcu@+T%({I0c06CIn@jH{x~n;Y(?KD@OEIoD!U+j_Y|ucMJ)~PGFO$w^MgFLkz=?aq zGSp6yWaPawt6PKf(cXmDC&pu7^sfLkxl(5fH>0#T>ylmfb6`9QIF7?TrsM9F!mVKcQg@=B0pofw{V z0%m^0UR8=QVGqPhees#O{Njgo-kM*0Caxa7x{QsOKPO1 zJi;N8{-lN-Ip2XgZA^jW#U~BM3&14?DCqAhSP{Le?+rF{9Q{9_wk_xn`p< zB(NCytQb7SN1pBm>;JCC66V`Uc&0A`D?~L*k>?ma^+Kd3@SYRW|N5)HymU&)mqV+B zAJjjpJ1s-!tb~^VOh}F@$GObOmEg2f);Q!k!&U;~gV;)fKp8&zw`8q`2~uQ>m@?IG z=uHl!`+9iS^?F9WON;zF2EMXmHeD3TQjHp;K~tECM@%A}4~X`kQ#PeX zSD?$lcl?EJ&I6&jqc*Wl^FL*V<>N4Xk%|0`$HQOWdxW#7I5dv0tjuFcOQbm z*mj1tMZ^+m;;pSZ9-(1oyNu&6-j}Hx3{26^027!`kP-;#Eg7j|8@(grNw_%iO^9zy ze6bM36I*ed?@^4Zuff?(dd{IkoMUVe{SY174XFfm_Tp@u!0BsNG?4-ZP}lPsymF#D zbTGNgwqa=97n(R+wz&gin&xLL+fcBM6_8uqt@4C!!^87jH=nOA%NFyu#|Y?mM_M2 zqA|PY8PQCQTxd4@*k>{k;O1YE@RJm@Hq-M#MrBmGlgA}4 z1rJwJv5;3T41&JYKHFDn&k#+Fc8ws!nA9gyF=Co%ksI|zQ%)3l%!;S)_hnsg0Ug{0 zT)XQgqsqy8!L{qa)m!k}s?B*EyuKs{4w5>6?(}6z9YPij7g|dY4Aa@ z5^Iw9NY9}$YpU|Ny_k34W$sVMd!5KUEn5cZ(AN#TvZhCR2u;62Os-^Sigb9S0^D{D zocXTuu9!SX@!c*1W^#NX_#>Y(ueAPkp@SzQC1(BB@@+xfK4Z%$%F--2#6=yRt*YUw zHafCtR1Z|mp(jCy7uGeMQ|~3#J|!!ZhwB;sNI^x)#~}mU{iFiqgBmJuJCrbqulcC9 zeD{6(vSOs|%ORW86HMxHI_xXzZ%#^`(ogaME{Jhm{Ty@bHoHn?`&l=_8|)*yXD|5G zoGK4b!wr!=TLrt6*V{``PHKoIHP{_mlD_=cNecZ}CzUwF<6XL(_8^|{4?0L8&5t|4 zkLS^Q421;h(mux_WTxOQtF*|<)uirZQn%ls*a(0p`x$?vbDD+S0A+8t`BFlW=d~hg zLx6wAbvX8onHKr|>j^r@o(aydP+zEoV`-57y`I+M+?ohMH|E@j1Sn*j%IF3Dv{VWb z@V*wDq)`p-xCXuSqj2a4&>*-U9&&BbhWq?nKpaX{KB}TT*SpKK8t+y$(NGN#vDRm`AbKF9FXH5%nAXvqx0EM~pFz!}K7uZ|ohhZ*AJF zIBvC*muKzaFx&$nJy*vOSgmH7rTMgu$$74|>Nx27AbVrLyVGlOD#(H_)ES5q(<&wh zy561Q5MwZ~2Nu{X{Mj4&*fwP|Jw4p%LGE;jU3xe5C57dSORSIT;ET!$bN|*D$Af(S zKknY8SGH_B6Uw}{!L_PG3mPS%Wi6%iY~9R#*ZXmh8}JY4A$lt!Rz$25D`G{i$KEG4 z9i);dAz}W28z!aFwG*leTrOFKFb3&V^%1S2cmDxG)j|S^?;B&TS48Y{cG^Zl*m?Ka zJ7Uf;-*b*J=NR8d9C}|Hu-wyMovI9(-S&;V4=;*}?(7$7Hf>7;VljNZEkQXM>_(Ca zY&;tQg&(F9ollC%IcQNxd}mH&R{}+05H!GfgRYBF)1A~f%Muo=+RUg7r+HazVf)fw zr(u|}an`$A+3eVkF}K92&$ZvxeD?g@ zs0&lmOcOQn{Z+oj*H*C9+oJ(@b)3gI^CB7cX+yjjaB81bUN+KmR?n#nui>z385wEOI!MHQ8_Ujs_$GNbJRvuAmE8rrZt|1kc(KUS|Lm{R|kQvhY zo3ex)#9n{;XDE|~WY?L%QY%R2q76;w)lM;$;Kh>_a$N=$O#4GkDxkxq8aYd>V7aah zsHA^g1jjrWwyDo73)KwHId4^R#pkR~d?fCA4t{o{IScxi42)_ZYS4auY+%mTr}9|a z`@Ya<0(wWIW$eiEjIqi4P0?AQdovFNRK^sCHYt_(qD3X=)boW;*TY#d5#;0@>=c~4 zg}mtM-(}I$qqnaWa*kyM80MB+Af2pJQHyRs?8)wP}UX&7LJO6w}!kn&lCA@+*FrRv6!zvDm9jGh<_r`Cl%j{q)l+Z@aRfd+Srt;=Aki@h)*w3n}Be zs(YkutT4GT-UXOtyq5{Zt3SmY<`JnoDh>rj8+pQ_sC#+{39{P{eR(3>4JOjjF3NUa zTj9O!hL~2`z{DK#m@H$7ugsJDBcZ2OtT#(Ip)K|~Gq=ufuH=+JYbm}GA#AalaN;&qvXthHUgTD5!u@ky5JK1O7Q z%Pa%1h^|CGp7nI8OT&z1=5Z)N=r8nfpBfQ?)FeBS~Lrb7P@^7M#wH6NA96LE(GwAzg z^H}7qtee`uvfT_niVyFI_u}^%mQaop6vxealERveurT`L$?@hrl>H3pm>8cE-}cAj`1pu5 zz-c54K{n^N7ZWW?`R7=)*gx0x@R~8BW^4O~e1r}mSx)i+A2_TzRof6sr1a|buI@hl zNW8eZs*fw^>q4(i&*_>BN>vV>V4aT?V*^WlDH>-f%dpD%CL}|#<8tEN?rPQ#N@Ag6icK$4NN_=lprLMt6idv_hd~}AHk4DI z0wo>~J$$Y!VXw!Q`BGLYRt$yO-g0lpwyjKA1NGNP8gImg65Jy)yZ$7y`xW~xX>vcVG+<*GV5JE1NsuCo!Pk$*qxpRSIov;ZG zBLJhNr293JXc)H$oPooxnwR3GTp!AD6y}V0-YC+Z8TSOu8_DgiI*%lS)u$g@Xv=5J zyY7mVZZT6}{f_Q9f^qknP|gI*La1J4Q7M7#tfIku+9X5MaTu=1k*n+{JER+;$3-NH zCDPs@KORO_HvSWi%xr_iVBU1OK|H}qg4JCMykNiUb0c$87CS~`i{|#}$CFOXrhDOI z+Oiw|33VHJ)Xq01ykBuQ#rAS?==bZs>g0J?KN|n!TQ_FDB5jOcm!}OOyh@XRPs*^} z%kle4NFB@{ry*}Ij`?!)MgY%706d-LryGI-7%$;m-M+-Lv&-wUEr@R?VcOQV6l}@u zryntFN{s7^Q=qc1;`zQ_1Gn@`VtzhQs2oebnoc|?F5BZM`GT1 zgWQ3yb4qfqVco6wT|OuLRGAif3AR6#qi%4NG$lbP3oU5~Jqzj6D6W2iI_|};^+&(` z)mP9?H|lo@i?Q1`07pQ$zuYKK>fI{n2YeTnPiyF{Z8vsY!QK>fPav!X5iBrqwmHr`7DZKe@X@LGCA7YcfU^u=^{0HhRXCpMR|~3GTMWYn z!}uSM3~P)P`}~ux5d2dF&8U&@AG->_QkOl zlRtO9kaV64>L}4b?|*y0ATuWGOGhHRWpQ`&PED4`RePJ4!e;QDT;N{5RL6PQHv&#{ z6lz7|duzWV=kX1-o|U@hCnwP-@@=_7f7L`tp_I=TI+L;0xTmMty!=9zJGnp3XLU}D zje_==ogXh%O=8`?!GHPB5KJH&RlM?cX%6GchZ2Nj4h=*Qj`{(_T&+p^JU< z>{w3nvB_mQ@3NmUwbx#G+P{())_2ok2w%(lufP6V3SS&U`}|D9?lSkmS%xB#0NGmx z^~DUtgK|EF(OP5BUHk~s=AB3K@-YH2(FjC-wg`jt<2cT)1dSnmUMgXbF!FEXAQ{uh z@7z#h`+_u$!z)2ktfMbYOVbBujMik8q?#E7)HM__?(G@?nI+zJrG}VAAEvy^_{*!H zMU7dEP{Px;(zZoG6kdyIpXoRNYhTI^7LlUtI7ZvK5YnPaUX-v&={&zR-I1Wb@86MZ za$d?G`EE_7`V2?!V+uPo3@tuN&@qvK#D%;?(my!BP(F(5xt~}A(kFN7OaANxp%XH+ zfE?5w0oEFVnO}Hy5vhBNLv9+NUT@&n)P%cIfaA^?N_4ESg zJ0_$6=}&^Z+mgw&9l6VW6EVK2Ul<@Ui3tgu%T^q#R;T+lwgc7+4;=nZ=W!SlI1%l> z%^gJ)XmLVfXFke3q-{_;^zsUO>G1afx+yO;C+sbvS+06kQg3&u9ymvxrNaxAL8o9i z8N)2G8}r64BJ%r&v@NX!K2;;A>_*IAoiM070T~t zSLA~wC%Kcqpz|c654+Zcp*+#+F?Ik8tSwqPv0oRi&n4^pcwUhg&h*$wqe*x5se1@{ zaFRfTqw`cYI|&5tiuK-#ynCI)`+a+#cQ1TjT6AXQJDc^u#j9K&*kiCcK{DFOh*nIH zC@_?fawm%k`Xb8gBmK*i(wAlHY^W@H*w?5+Dl9fi*PbHUs#d9yeI(`=kwP4Fso z+POaP^$N-k-QMXA&$(uB_-sC%RlUsU_RI@N>WiE9nVpA0+4P6PieiTz*aYC%TzHqj zhZkNNu7sv@)`!;L!MbT`I_+Msm%&otoiw+%VprI|VqAYIA<=?}qA^Iy)bLvTd`33pdawfXx@7>kufftz8m6L6d}p85IZGlt6n7x} z6h_LSAahrb{-olMBBUJ;R>VnKmwW-lIZC@}svNP42yoYwPvxgSZBW4t;XQe=Gh~nT z(S-4dwAse2t6Ii!W|+NW1s|+L{PZRNfyvdEs z6C!^^Q|4%%JRA_16p(3Ps`0`Q+oC!GU1g7Nv-8}}H}rvmf;?0pOX$TN-;t0`KvxPM zH4`{iAobnQWRI5FG2Ylr2R?RrH^18fX%ZM5rfUI<^eSNJ&mnh2F!d>SJj)$j=MG2c zt+Dp8@A@Wte3gCCe+of0fp3}O(e^0RN73v2zPp4x3$BsJ#`Z_)TtqSx5nNXxoGk|;2gZCN`WS)7ivF>GM7Oto4<{bSO07(v+Z!$C$YT+FAor@(F4ep^&ArII-!$ z=gC`SfPt5=iY$60a11_pjNP$R?m@4W=uz<}xRuK|5`OR)At$U9g&?Jpx2IYz0B9}2 zPxDnHZ(%8B0pnvC?H4_UQf~U_M>JaKB#|rMiV&Wn#%l&_E1IA$MI*D%+6LJpYv9B* z$1Lu7_OWOD^oCECY`N+{t$7U%Tp&Auy3%S^gZv zOo@1UMtTpBwcpu1Ah7N13JuB8qd?*O1YclXx49x*TYUK%?*9$D=u8lw?y&kD_01FK zNr%t3r%iRSf&nB-A0YNUpK113e#J}z&W=4Y6z6RwpVHF18 zkehWK8YwVSmA*m{yK$zT45aE0J?#K0zoXeJPhL2@KmE9YUIk<7m}7=L@r~%1(_wX} z+uLP_%W8WPy@MXe#mxqTUobMbC=YuUQg$uOEMEGU{n7koJSPg6gqz19%@zzZS ziREb{q}N{-)5R*q9i@2TAm!XQoBl0z>Etx#ZCIA55Z@bxlwHRNx!wLPjgq%Z2pVhS zr(>H)NB!1*NpSdy3~%s@5E=7(31@Rz&-M#}y6c3?udJNT)s1Ts;*Av<6z7HUD>8UH zOPsn!*4rQ?^1UEYA(;6_$TM##PAyK*H#AAZKXj!3%isCxt7A>1X>~<$TKcIBe{7rL zhhFYbyB-x0#vB+RK2A?G)~N#XONn~a+##JK=cd%*LLMo(pl@qf_}$> z-n9?omjaY8z~LL%J!k{wI9V&{)#LpC?oW#yYL}wC#jev|KiA8 z!T&ht2*4O(&|~|sa#9c%c+fS0*xepr2!Kg)!*@Y8T!uSDy$8|sw>QZeyO`FzFvzhT9qyqqeQP-FBL6^jn6 zS?mA5R5R5kaC|T7War0OrBH<+T+}L+?&5U`D-}Fq7ky);g1=s+u#TgA=R|2>RrRx( zX8#}hZ8^tV_D(fUrbvfOjvM?h#{ZJLy~CG-FZa$&5192(;CpVqna^?9l-NTTlUyqH zLo!q>PTp8C-+fcXj5h^pHJj1xSj8~R!hD4T!n6LHufO_=7v&e-D6yyS$bPEWSLY%> z$Pc@r&p@$p2o<8>b%J|j1>WEdf^8T!!m$vj)n|phHrIy5rPv7R4{!Y^rxdynB-3B3 zoHy`Cxt^)=4Xm_$mkT`6h!`r+R?}ZBVT1=*t=0o+wLDgy3I>1|8*M@nolXboAf2{r)04O<9|_ubyZ?;Xw4qi1@TTA7Bf%fFY=J4l70m< zY&b_iP0-x()G7iO^=pFe`&WYghp)#=U)pA*wV=PK2pR8x&4s8nc##g~;7YNa<+iX9 zT-6i30@_1viEjsyz&qZN^Esq-HpRBUAx~aelxMUuOYF|jbM!T5FLa48*ytj}R*BfI z_?WkP$xpvr2fJx)f3OFKFsBo~CrVXYnp&e3%G;DnPG^SkHFAu1Li#|Vg8i#6Ihvl% zx_tFAChK#_E~+lGYD-;?B@74q-BvDYJt7de^yH?Cu|bP=cJxRymCk?vXeIQ6aSffj zys_k`(t$xi1Y!|dGXnc$C2|~Me^-BUja$DeA4*Mos!g5$m#@D1s_jp_X@T0YZ+J7p z@B(Ngfl9`Yy1F^GS08Tc-SQJlqOX(0mA63O384eV5vev3ZNCGX z*|XySAJOeuL9znNx8pc<65b{dy~L9=f>uFLIX{B{d=wIj4J$uWSDPfXe)o6LCWV@s zS>ZFo+gRj_+gG8PW)Ko1sx!w;AMu|AC1GreO?@gS&D1e`(lB;}QXp_5FAib6LmD|O zo2G6AJxhsTT!Gv2ALZ9O(&Y83Z1*BhO`+J&uvKCMX@`1Eva(SYje&Xtd+AmLalUwA z)eabg^tFZeh{>L*Z=gQ#qXXIp=%AfN2$)o4r%jcRxaU9>x=tid6(QDOK zL)UYoEV?hje{@5YaIX_h9WVo2KVAypdE^Sdo3{B?0jBd)Dq?p81fFSpbieVwAKx$8 z^-R^{FH}9igkK1tt>Pxqd#MVz9WHLESrpyRh;jBlTe3=sk}$k0z=H}W0+RbByX4(j zWTZmj67S#icJjHB$tMcU@1B5Q5-^oKTX~^&nV;M*pVLJup5CdrxF;n3{fc9O1)A}d ziU)F^9mUsu&b@%1iMWd`*#I+!#vCGw;BJp9AyDq z!LEtUlD_ub*GkrlwAc$@5s>LT^V~Zn`%aW$qraEWk9Cwh?{iJYnGs&Cj6p!)YLoHn zy(Y(gx||-K35eyEoZic)+fc$N@Vog!9i!JPtOBAmOv*4A2&DeVW z=X)v$)2psFm<8DWFiM{jpi3IMxYocNijxFx{@%T+>jPWnWx@T7US>u)_}r3moiGW) zD+z%Hg0c0PN|=f^E)h^(#zW8Zap=t?Y<>&YgoYL^pe2Q!IGXomBbAp)Vp<^nm&}fK`T`_=UU;6 ziSZ{T&^8}K3=|JdaN)jFAlzJ#N#yr_SE*4$Z%_l~{9HHHMg?I&7J`U*PyAgz)=2i# z4}A#>X;b7TM>z3aNS2b|em2xwV!3~BAIM=*_kz-Wse31{%0h9et6F^hL>Ql|{k zn36L8mdyNgS6!&%|!oq zetQmxwu~2=2t9B79Sn}Og%v)5GEB~5Z86&8-dygAO&%t6w)gox7%3~i-6 zZ)ph&6f4oK=vU%uxVy>=T#KAyQ}~Sp-!uiQKvy2_VrEL*Z)YGgZx9vC5l}{Gl4E|Z z2osTS4M!b&pBTpKEi^e5DI209d@SuOHTid#l^wQW`U{G?3PgDCL+`zp z;1G5Lx@g+?hwoctXORjB3WuF2Ji4n+rg>ErlG}gpr|&)2()*{r%_G=jzLU2{yWQ98 z!*l*rkQk8-DIm6}2o$`x>CY3=|G{u*iMziFjFR`5ytKomI$28nv?`Bf=RD_2DJ0g( zSSh+q*ejw{5U}*UPb%W~QHlc_c5dWHw07k_Rmj$Uz;3aW6RSm|9ZbX@2|pJ>UiKa{ zpZKG!4j(984Dq47ZBs1jBNlDj73V!k7Rr-xQ58vk_C9iP=m&HF!H)}07@TD{as&$c z5k0gk>g`qm*!=gd%bsx~=m9Rw6hS@tp%*Ay2VX33XG*k~s0+KP8$BaQ@J^t3+ zW6!)%H@Udo+J>xQ__`gx*p>}WKMvDw%Hj$gt18=W93{$8jk!b*Z;d?UI*?74c?4=cG3t5Xxmlzv z)U-(EUd^PS+cHw16@Q*kV4U^rh~3bSlxv!l^Xu}2|L7oKugK9-O}TJv5NK5mzSP5s zDU8x|CVQoNKEeM{lAZ^lpJcHmhb;cWS-_yFRYU9`O&$s(nC}@5(ui+ImK>&bCWj1k zDmtdx;=OM2r0RsFL9$K+^F6WT$fTp+nz$O`Of4R!rlV6S#+MTvS==xdvIwcy+%u03 z|Jch+HZ+ruV6o~l4D?8SDvrz+xP$+qjs2W&-C9z@ngxNAnUd1jrM9>!)^>WY2RtP_ zh*hItbKE4N!pI!x|H0S0E-Uu2j122V7-FM^pp?YRsIoB+I`hsvkmjWFI20On109K( zVEsP5IvA*0t~-aG)!6>AVl-q^*F#ZhT+-k%HIVbRR=qE4x-)NDhk;1GvFzo`(sfM1@TNop5Nzh_T5Os|2~IWyrd$`o z7dF1Pi1&UPI|}E*AR<2JOiw@agduNpB?5wh7j36#-qe=lv8*mz>}Y)16!1F2d(U67 zp7VpkeY73lc(TO#pivsTqU3`n$se}Eql`ZGJSpX1S#^BG!8uluX|sY-OF#9+W0nNf zh(nd*9sTRX`!T6mKw^1WJxR>X1-@TzMPrf_V_p-_6^ZM8Kq?!uTXt>HXd@~At zt?jSn{9Nn9@jEf9oyE`ESlUL;C{7Dnj@a<&*Nn&^riDDm?j<70-gZ!=$q`%Ay5I|) z#rFxE)J>b4D*|O*;0*-95W>iQ=lg_Zip1^I;@vv-VWg)u(lvDO6K)NzgHQ+){fu1b z4uQ%oH$d_L+rcR>+g2h*1lxocWi(}8a+KFWvkDSs^+KYBImC6f+z?qq`ww7&U~TX! z4Eat3C((>Bc~H3wh4GFg%R-A!CG#9dZVIrerj%5IvLv(I7%5}HCI_Qm{K<#V#aw}yf(y|V8I!NgZ$Z;Ycw%{@pQzg6@NyDKVprd;-q!?4$$TX6P z5W(ofwm9;PwuJS&7Ts*Em``d}XLafo*Yi%DZ7dl}Nk z55z&pT-1jHiBqYmFXEgx1Q*VvGa@*MrW_nd(wOtoZo{gt^0wshGF)1f$74<$f=)Ob z)=+(UFnHvj3+Tl{k8s!eFK~{~jiKx`)NQM7C(lO-1nhVO9LIFlc_pYh6p{l020=(%ox8Nu9k-`BTf}?ID zo}KgJZoU%%&oZTXV??vbOS8Z_6}?2W&+_KR{}LGvC$9WfJau(Ro)uqNcU4FXQT3O6Qwhx-`zzziA>q9pMyE!{z$|#T8GyMt9kaPOrU@kWWG@Qf_ zX~@Ny^}k{~I+RI`f(L5LjR13*6dE#Jp;uss+P`1~w@33^bINz-*XqI}cl?Gk^xfh4 z!CL1f6fFrPS0c*|_43w9v&YoA-B7*Qg7V(*W4Qneh$uWZ+Fi-@pJAd=un+#;l_A*LPTHi%NJ-<~>4F4;~{YOCcg;bic}$;?{wwn- zJcRI!*;#^I%G-2w8QLRCy+XmD@C)k}F?+)7B$r`?xBnPf{~L~)QB!xQr|eXD8(&=% zIAEtSaB{b8xNVIN2s^;plur^Fhvb;fITfXeG&~&1pB+Yz2!sqKkK9JLmPSlJU$7OS zYpN|(&*QnO>FV{ptuq?}>C8LvmQN(}v^|u3SE#qdeT1Q(Ikc?xNQ_gVey1H5R&l2g zZbD^2sva|^9cHA*R&b{rdahxswGKHQ#G0bq+!1+hawug4HXz&uIYCZ}@WTeJxn{py zglAzS>7~R7zIoVU+sR$*AOfbGxD9pdec!D2*J4~DF~2Am0w3RO^IAg3yg@|zS}ih5 zahC)EpeoO;lW$OuPV`|rU#kjwJLukP0!c!HB4Kgv1wqq@$Y<>dXT;@Kxu=bc-dz`G zS9EHiY&mJ?HSputYLHk&nPRL%zJ@8g<@H}7stK2w1VC^bylKCs1 zt(xcm%s7SEl3+z&1T8{#!&Tohkh$eWd{NbBsp3$pVfsX`_f=s1A72}~$-G+i$I)3` zFJ^O+Melpk?UuRvVTP_PDdn=JYb^n3%*hyuR@tjhKQ^0Mt?FUQk7$wKi^q?%DLwO*g(%bWemcq)t z6nv_Db2i@+4-F#gUWghf8Gcrw(7!(YD1)N|5Dfy>G)xmIXO#%DIv$fJ}V z>~t^n%p%xfOKf=`9`c%xhZ{jn&6fkzY9^l1kHjENtq;_ThzcN~+C-Vb_aw~>Ei7rw z0qsx-2mdX`@3K(##cSx#Y5%~${DS0*M&;!r(geeOhI5L?kQ@kV?b3SLt_m9^u) z_Y@B7)E10m46oCR@DIHJaBm>p!}*D#U?WCBbe*`a%Hz4rMJmp)j?pwi6)NOse=FcX zBc@OEn8GAWADj^`2xfw3%(MlfPY@@(;2*=uNLpfDqxaC|EF+3ev;e>f9`Rucvqjzq zsZP@|Trhc(gp`;|sTw~v%kK*&PzqaS2G`>SMB2%Setaklz>gQEH_~R9N0XcZz{vNd zwO)wI4NwF|l(@?-MNJ4siWZb!fd!%O5_FxX&_!|P)5Khgm~e^|D=10m#B1=3GO1rY z2OIL;G!CwX`~l{H8qNCbp(ntWuyVYuh2>iBhIc(t)>~@;O%%6+cz{GNj-|8a6Eh6U zFt&Y1lYJ(2Xn(Y!fnDe@zK(&V8s;M?oXaJD~; zLjT9#GU~)Dce=9|;OEmSm%T)JjJxtQBe}k?uC_Oq4Nhls zdwZ@Go3hLILX7?LqBO?@voC+>d3#Z9TBx|sqx6n6O4y%@`NPfe(srEK;)hMc`#JB0 z|J9VUB8woI|Hk(r2_I-Ahv$$409(;;ikVDf$C0o`ZdAm<-cl|GRBlzGK6+m)q?I%c z`tCM0$rMNnV6NB4rX0(*<$vdMX(D6q)-QAHuL0|(VG|UDK!uTw)8>8nPIb1nD364H)|uH)^{v`|=8sZcP9IfMqdh~< z5-RY#I?^uTZT)q)mrt*qbpM!!G6V{cf{(gGUDLQ^DwxlDgb5jq^)YH#dX*@BLjE`&gyV`&;0$v))B`lxP zgAAgQ%z2_ePw}$Xr*iRJrdCUec!Fu9a&1d^yNpUHNiw~RqDUentWLfg(Q7PDokL#r zJL1R2i6g}DF7t(=aS#b4NrZls*OV!1L|DC)_!+4@o$|gnLLo;!Zap(BCW)Ld;q?xE zl8ABj04k$Na7pDwD$n>^6lneG@$b8l;P0>8e3L3jIv89D5 zE93x5j|XwY3rso}B!X5!KL{dsctIk~f*!^%{19^>LLXw_%9GGNZ1}?NVeEp4SAG;0 zO64gLrONE{65jmBoO6i|2(1!rpX;F0jVR36kgp?7#_R!eGM>px7{Qcq{v<3Rb!BdF zvPn%nbbCl{(VmAmnwK~!n-@7GfklN<)58hldJ=YJLMN<*i$UgC!X~;&z-cL-3%Xds z2*#nqNFS)1L@wr3)Jc;`?|Wu$$E-|3-vo{gek7C>JLmRLKM{~7g)F)h1RP@ih-K8bJVUYPgnpe1$Kwd5XaIKMr>2GqLIlm2 zjuhM!q!pY3sXR4F4Lq(lwk)IPh4wn3Q9Vx46peYRvE#|CGTW2{Rx(FKDGB>R_Bq{> z#0OvR{#ms|U~8~3aE3KRg?kcXnK9-=XGfgqNun=3!wM93`oJ|agq{kt5V%jFqsj(i ze8x^-JK$BcPhcFuHXf{>-gvBR~@-g4(NW-ZRGFUNY&nJ=Wp_~+Ka1w>%XPgS5?B|}-UHT)h zHDc@obSHuwu91*6i<7ZyWbw%4k|_|elL*)r#*~A~UwVu`y^N4D62Bfw2szYo;_B{! z?NMLTboeooT&3N{UdJ~%EXhlLq`}Evh8(uTCGHc=25bgw7Ps(}yLT${S|0yG_B*36 zJ@$5z@#?s!F8QkD4&~vL#?kGL!np0r-k9>>OJ#H8Buf)HL=};Sv%t4-*pLvqqs7ea z1fqm-M~)QkGKs8PZVq0=CBen((W{LwOn!hx>8CFDI!p##yqCN|rD8_?hMfOgUf9%A z&dgBUU)d~HEMrH>n_4PcX2d#0Xdqfd$kIcpc<@pY!MO_Lqzt61<#6GMaU-S}p8@d% z8j&BC><(pf=sVL##PZ_0cIn0Gi&TfL*>R===R1tL(U$=eFY)o{p$LtA4mCn}#%jZFa-r_|orVZ?I;;|HR zLFqEum@e>~(2*#4x>0+>d}1X%HcR`QKhS(j1{6BRDsN;Xph}vO?%v@+f-N%~UP;4H zAhD=6$=qQ5I1hYI&Daa9fAi}xK-q*aK~tBfCP%zA8UZ9V{+~;NX+^*Y2m0hd0_cq2 z=iqxke94raJ5V5pFonwEK^%mMVmf6Ah9r_99$1YtCe5sHp41<{WYT2dDCT99%65?< zy5+WY^=@OJ)AiVS>dlg)E94Dc-V%5zAPxbY^GuE#^E*_iUAMQ6a!a@q6q%wqAw^M% z`#M%taXbs;9v{9l?^_Gy)%2-27lPU;8~qX6zv9yf&G2uib6kZXxj3*mlyu`m z%}33g`X@n`8GQ#SFJzGEg+L|}xb4(>$&XD5vz%T&PAE{@iA79V`_i}dc54VbBC9Ei zcAsy{AMCt(E)Bs)U~N%lx~KCtW+QAHyr|D#$_?WM^M(|C180Y|?|HkUuZmT_<}=pt zRsPZwt-Q(i$9&2_r2qVc6- zQqaq&?VED??nR!98Ae8Q`!@e}({JXP_dJ&>w(}+5kDr!5pl*b)K+jO*raw$FvGy6W<$@$EfPZFQd`U`OltJ#P3^U2=T)H}>5{NI0D z!~@d}_jntA1M(l}8$<9QWWi);Du*llNX|TsALKzi5gDYyH4tTsrv+Eu0g_-zV-WeY zFJ?l<2M=Fv-P7#q;yzJ`emcG_Up*2YsB=lzj}v~R^a^o2yT}jutP=Q(w~3pE4R0B& z6ADkm1wVr;AJYHrAa`tKZXN_uKTQ{M=C2a$AwDUL1Pu|NUgR-H985_f_eynsZ`z~O zPtj@D`x>Uw=q)lh8u3OL(`?&W-G#ekRXmri6MYN4w9fVM&nBIHalB|ik>1MDsb}q+ z*5=|93(zLD^+h6J>C;efF*gc z?#fkFj50-@jc$-ISD1uE=`VyvQC}J3Z!-ga*nT^51(;3{3e#r|13u?^)A`004EVGw zUTtPzlgVhVk41YgMr%Cr@tth0lA$BprYzcGYWm;cPt+i`yUi;txKo!foa!Q$)XUdG zqa{wALJDM_8x8X)-LK39dWUHTO%s#&SM+*^Dm6x*%*aO>qfiqOnnc>Jn-TWir_xGx zpMs3muy6NRHP3lN*TL9>also19+dLgRf;5zBBmf&114taut$_W!@$z>QzSTT_GEXwu5RSVQL4mc_Iu~G ze__gbfgf4c@6My%-46aP3?Cdzfegh@D3q&GQ~R z%CoJoOgNFqH!NOP)ZN?sOvm)=PdxX*k?5Z1yrUN%8Iy}s(d;g*p}T15Yg>QsnxsRaffb}79!BU+Df=D-^m@g~I8* zmNoLdS!di-BEIU5@1QpBkMw*w^vz#uLL{a}-c+Mx4%1&@e58}y^p!fLH$!x9u|Q{E zhN#=TAU9+U(40blsz5fU1;DJ7VZ%J{jDOLU=t* zf-lq{H8q$v%)oVab)~Lu;-6)w-fSvd6&T;E!m^r30_6x>&rover33GWYyA;)G1~Hn zq97&%e{DzR4a2P=N`f`eK!5u2gfCy{elLKrsqd^eHbIs!*FOC@9hKJgswTuEj%W9g zuL~Qhc#IgzE$BFy2jrgL)egM}Bu$`hj%~dzi%q^U{1}?RV}fV`LxladD?hNL^3$L3 z=46MX9*YJEg_X|ro#Uq;D^h5!x4ipnY8n|`gT}NHbWJuoH*nVEA9!IROc~POAsz3R zV3*dE#z&<`H+71N;OIzZ2qSA&TD~N6x43hbPjt)8pFaK6qWw>7;uG~b2UDCcCj?Sx zg$E*s-c)`1sVmpDHE}SrEBUVa$WvltljX4?=HvhM+h2V}H||#;3KVsK+MF%$`ZxFk z21RGMBUTbM^v3h5CS;H;W=U$$%M`M70QQPQ-w&6U)8lpY6{La6;Ycd7%N2^d6DCRE zF0ZZALDZbm?3{Ou_M^@i2q-{e5a?PW&T@{ABBO*z-}CEje{AIdo3i2(;8r4${Gma| z4M~N zM-J@Yh!6^+ob1&}q1;A>z(~KX1p|m-oArum>NXndcU*xl?>W7TdoTQAcoLDLp zGDXz^0V*=JqD!0xn@Kd%R5dS)=v^`i^^#W?rF5Kvd3fG!GyN!pX7>KK%?p#L52V{A zKsS*@x83kN*&(o<3e7ojD30}sn0>9S7YWX)13bS+}1$va;milCKJF#jK3N}e= zijR7aCm_}uvBzsqiY5CMLlg10B2o#tL{*T;u_E^r4u0%0hDHAJz~aZ^yx5);Zr*9! zEq+xz6Wp9Jkae?`Rte3M)j*XZFmi6_MQ@7om*PWvwsP>d(z;It5tXFGX!9x@RtO>DWGF3&X7fzSA^+s? z$t-UE;b(T_viNy<1_hD6Zi`O*V!>oE=gkvg56cpN4PTV6cl${>u=vU(xazq;%uE&V zhUF2uKd&++mp2-?Bfl4lEo5$L+^+S{zBXLI>uq(P3wXpKi6)dZ>{2}=|6A;sIiI@9 zt$5$oonw4}xlRX~TY{|(Fmg1rPI-^L*PxV?42x|YGH;Pl(}F^SQ8|_8VyEzktD4=> zN;JFOwJ;lUh$3U^YPhYjV3Y7gm2XgXSMIO~z9+*e(p-qEM4#fSx;S;^9M{KOwj)g5 zJIztv0(D8=R8D(=S|ti*wyM$(}?_D%jE;CF=SBk|_9D<@Rz_sdgF0S)@B35kbi4&P_i`*eIQ@1_@YL-``@NkD zdF@jRsmC*e{Ta&kp7Dp5%}G|w7(ZYs)RU^14AHB4SXU$OsQvDkf52JUU8WLh7D3IU z{edt0C}u-bjn*_Nv!nMC=YWAJk8*^J#LV{_7fab6YHlP&#c=;SEu)K2Koqx_coR6U zs6>88#5o0p7Z^|}!W>!BETwPCSB1fDT8v9W50dY(;t#^sRv(H73~)y>Ym}F~Cl2bK z`wJRKP!Jd#?}KOoVfE^;N$HW4z9|e{Low@A4BrWJwI@I!2^{UMK7Nsm(R3hbfT21N z%vUU>yG1DD>Ic5h6=auMc3i&NVWiHDyqpL&gA;Pr&F(%vFFsHkM(HDEPu(r%#;h6R z?DpNE32!Mzr+{MQH2GHPCZFF?$><)u z_kYeqzcoM$%vw>UVvkOG3rbcNa z7z0JMX|D&Fq%pZXi5-tQ$|UfvltxyV`dR1g!~{;3HHD>mWiZsN{*V(Wb6XV}cKgcI ztv{}3qm4#hPS_FNu;}#;;DbEgGPXEBeQ|ASX+AcAFn)7s(u2ymFx^|VC3aoyMuWeM zL-u^mcVj8u&ubG)$)ph3LQN>u)MxD(M#F=Fv|f`hN7g&H~y;< zF$=Lf5b7DGMN=H7Hp&b{Swr02=gJW(iE$lvP2JtL4LTy_tQ5O ztjL^V`>#im^1ngRqQiu5D%xKz4hhNpxm`RQj0%tU*>g)u!@-I@ahvzm;q=-L_T}Qf z)VhE5TVH*ZpRv?F>TKi<_EXt(JyqcLf?kw+WJYGWI&lmK51C8D+@_di#nYP@>3IwK@ruk+aGCl;djCT>;;GctKED(!ToQG!hli{ zj}7WPEgVY$wN*GDG#sM$o$8~Us4e+y1=xq!bArDqP=Po=O1=;ZjuXyZo36P814ViC zH`QX+6{(ow=_g9^MdH6L4Us*brCc4 zNo$5Z4PAAnQb@`FIfG@T_kKto3=(UXAjm!}O?Vrg+nN54|EUgt!& zq*dK;8@IUYR0_LMk913kRt~+6fq;CBdYLO2sOzgg}(@XFjnQwn_bJD6p!d?jiho$)IHt)84?(bC9EGS^812EX_j<8Grk zi_?f95>ep%(hfr5oSeD6LTSzzsF0*FBgtYnPMj#rlE@?9Fgos+c1WpN97pup%QEMC0dlb9rf6NWU(E9kv-*s&3_Tw$_oFCf=x7!| zS`c_ajI4~`nw*r$Y{!V;$k*sglAi@(9A<=^4!r~!{LD)y4`OEUDhF)f^aMZ4H0bvufm-#qvf|&7X2Ii%1(0t3i=fj{{< zGrh}@JC`BiUg$H9EK6PSr(pauHoPFVU{LPzrmnSwn87_!?6M)Q1iWQ&#!mCyOy{Q? zTd?}LiB{6jJ|+w*m8J|bj5y{#I+}p!K7)w)^ntk}Yl@dZm|6it40YjX8BvBwOw@Hh zMyLOh9%zyEA7QbYvuZ@Jgj&1iouXp%N%YKz8b;$rf9Dg2waS}j#AK99w_SZCI?_{l zkdw>{g=t9_M|VPy7eD~>@B6=mjS@}|hamHS=$Ty`&FyuczI ze|O|Uw&h*690SEHuY~VfB#tGNzccqRLWMHxphZq}Q_a0ueoU)#>YGLCn0=E! z%Nvn1{kF}UkufB3jL>?cOl}*Z=?Gu^N!2Wql zXJkoCtm6L?zeAs=D>^CgB6-1iU?%pV+-&sn#~~^r%BDH;QKBvx(PywF;#gk|p#%*w zLwP9H*YJH$$g`Y2*5pl zIMLG?^v6&?(k!p{gK$w=Nvd*P`E6e*dXKzW4x$GjmG3YhdAM@%z+u|fDbUl0z#+l6MJVXC0 z{99)s*!^-_q9DeCWAth!G5W!swmjRR6z2|1$2K;9-haHYEjV>>YNjJJNk}YtD6yua zRCq8!-q=rdg&NZ;!S<_2x`cz-Zp(?QkBrb$K+U#-l7y4j5;%oOeqj3V@@DL@)I9c! zoy~)odQa<2cQ*_TYs7D2PQW28NO0^1mc+nk0A~$oyfz1ZAnbKKpJG}RX6E1_SJ}YXdweGTPMd(Tuh6>AUe%DD8ihI zEk!3!wEzWNlv^y*O+l)&7Pdov%z3MDY~`&Ey4#a*dXX7mEajB9`=JOfIw&-*u)ayG zIQEbEAfOFGU6L*7stE*Mo@((*dedNJe(KU`#4sAW-n^rp%~-f}U@>)E? zTcQz|#a|A<;N$dK<-b@!f*I;tf~ev8S^zId4gUDL9;d3SWRUmU3H zv2ec$LYI&WFGksmP5pae95Ma>wy{kD0*j~?EvO~Su?@_=H(^}O+|a%}!U2?d^1~?{ z3Z?Vi;sBZ3vLXWNIM$w)BTw^!v2V1N;RC7uVkb=^sQQ)wq`1=e>D3A)b}g_GZ6}4lyJ9qFbc-q?Cy^JnI3|9 zmyl#mfXIYU_G%Y(m0@-O2^+_jjOKc8^O^d`5e{a0KL})*aK0|4r5wnE5BQO>e>*H5 z9F|W4sZGTKYmK+H-!n$><@I?w%w#7Hv1?oZ`QJ5ItR3z4T*CcE)$H6iZ6Tf#R7@o} zNdg(0@};mopaNK^N4`e1SYV7Z9A)sjk3J@6u~nwEs*0KGY z9+P>;EwDf7<%8S|!Dbp|4Hd0OMcVK9wf!z)WnGaLKk$BKkd``m(J4BeK5||QT2xB- zGZGP#4PqE99>bo*l-u#Kw7Ikl%%xe@8P}V6M+Ux#tra7X-Xxog07^i$zt%4fM6e%e z)T2tqmd54|t(*z+6A4n>^HdffZ@He7N-0{Bz+_=bg4fV z8tdcZxR4rqb7>x_XyxT&ARTGPDv~0iz0j4V96LfGlh;GUumrITlB1z3gc;X&PM1^h z5#5Y4ZfkFF8p&-@v(#vICRgvB+fk7l;jQ*<^#6A$T8A%^3xRR+0}f6<;Hwm_W9L>j+bJ! z(=>YQ;FJ5d(LuKjCE*ppRg5K4diq1mThM9LguY)_=oXAXgcl6BL?@=7V zWQU6B11u(HLswG?IlEgovd9+CVyqE+rP-5$T*qhVzULeo|4VV?z2~8nLGc1JDE_553lCLm2}Rliu>*ITA|4u5# zI8fo$CMtt3-XQ8mi#<>Q z^E8YQw$F(7U_Wsp9sR_&^+c0y=UiY>E$;+ewUoa9IhmrNxYsffs4tE*HS>OF^B2t) zFSDhZEf~v66(}Rs+)!lmiETh(m#k*8&kU>~C_3bSwUN9caTFB|>Re~kTagq$n<#t9zN5MSa82e}(U8^y?)s)Y2>PvzT2zl|Qf z^cyl``H&kwM!`2$qlGrBSH5iY%X@MgEwyRxRp~$Zg+bonlg57bG$9tQ!O$Rn=@6&M zlR;_UeNxEl1vXb)YQ?@2&co!^xf%e5Oj+;;hNOX$n4oq>60x(D+gakDheV;1j&Te} z#%$X#-M5-lOHXI1`Pg}v>)ti#GEGNJ>8r9MaW0osayy7r#D$!K*Hn=znt9pTEHz)H z?>1e+1DDA&D;AQOA^NP%R}3t;5-b7Mme9G+qu-#6?4-*6ZF0}G2v_Sn445GCCVgaf z`;JDeqfYLc*f)uNx@`>Cpl7;M7G`YuU_MV7FtmCRf4Z$MLw5{`1Cuyp*zhY|M{k2! z+W-A;3#Dxd#)iWr^Jn;Fso=B4ffAW`X+qH5AsQ{7d7VU(*K@;LkhfTn)}kdcn}Hph zMBQ+`Oc-X9(}^!2Z)r5gQ`0MqnWWLpU;>w$;M9bHhWI4tjj~=qpiL46(6mH~BSq*H zxeIS^GBkCH<(pI4_}B7ACzDuuDT2l`c#&iR8b{938vwlcO3HuwwV{yByM0x3g$Xiq z>godhYu$<`fJ5hN(gk4gzZ3>9=-sg-0m!kyR@6RN-r$RSsGAomEzi)&3?GO64*x#r z3y&Or3LQyANJEre!TQ`m;XgU;bHOX~clh@~*tkVQqDP1Pe_$~-gxbnEry1aIVM9s7 zKXReqYVuGa9vvUa$x-%P?(ALOlle_JHw~GK{cg8u9^^Gs@)7&adnfvAH<5P; z0m{Rq*?9g4WEs=rpD}&UMY)5nbiXKVQRX|^CKUBMUwuVQ`+J+TzTEx?dKBZSWeYVV zBjOCl@4MpzuVkA~|FA0$^-0|g7&J$>N>&urtjc1&CuvkyAY)56Y;4*zL45je(A3AM zk|R5}^XlB*6N0_&g{YCt1kQG|U`m>eV6x zHkZACJZ!g;)QeMwq_sthz2tPKLORUzY7J?5-xxAN?bBa$FI~PYNAuA?cEkHGOx_?t zQ8207u3zQly~Hm)nNs$j{<5oRttAXfYoXnbvNhSh#5`|kad=h`I9>m7*}|%P>1mPS z)D~Z6*v%pFuMVij>eFBD3za5@|B&a<6#dJG8q=D-Wkjrc5xe2KS?Ip?ep{5%cTnyK zEQQV}HWK_tX3q1N6n}mCw7^bv#HRhR5z$F^+d8Z%VtDJDukpvM5Fq(l+P^4W|OTXRAFnou>%u?bN z(Q#^ZllEMo!1Y1g+6XGdt&EqvSIO8=62!uu4hi%lgMfTj$&R1?qN>nJ6vKG(Q+eRn zhXm=t{#lbY=8oLzILx~scC9cH3S2(7bfn)w?~lo~@79z`{H3iO*XegfiKUSDXJ|Gd z!GL0X);EWn2`OBD`<}@{)IMI}Fr_Vjvmjf#CG+~?rEFkXyhzVEevrjP**P;}6pKQ3 zPD2BI?3=L|tXdpX=p-*med~YzdgMQsL+iD(iclw_3E*rha_G8*DfWCEJ{9*W4$*nlIoFACJisVA6c^dV$v_yJZ9z^C98=gRdD}An zojMHd5`1~x^)qKl4>o-6$qn8qA7P3;kE&JPm5YxCi0A3EU`8 ziX3^`E~ZZil_A&X<0pwj$FP%;L~2Bjgf}nwVK1QVvrnmqGUn-2wByIVi`{~+PRH>h z^)l9BRKZM^0zMOG8c1=ZnxK1b`Ydnm#h=H9Xct zWWP)Fn#+q~x({Tt^sz}VrVjPNPk(OGQ+^ahgN@*7dII!yt*QR%(~rE{jm+CjMxQ2Q zerW1cQ>%~Kwv@2{ccFGrC?r0{0MX>xlsq6&x?Bbg!b!nmj1V&huA@}H#b8Rna)J^` z1<6#&PeW|v#u_oXyeXGNbvSgZ(qWS~R-Ycf-aLmtCcPF_1+~@Ec+C|jVdRKaHD)A({rWIe563#JAO)E;534SQ(Gi1b%oB}y zG$eabL3yGiF_GqpOrCgA4sBby+UoG|g5D)-P!P_u2pE0E>7vnS^ASxSoQ#A(nj)GSm13;(Dp;h(pSlIxwkaH7}Z-$t`b`Xok?N5^BcWSIt8A9YT*u zT((q+@2#N=6CsG_nc^{%j^eD@+#GypWG07MUg*3{nbU?O9l9%uc0Y`VjAqS2$z5cOv_#zph6(DE%}lce)<4Aw$&FP*t6;HXPo7!r*VT)<8c`_7zI- z2MPGJ<&#>W5aHk1%09o$Z4M=I?_cEZXbVHR5cm!l;hXv@C!OS_U~vLt-r(ow^|D1fC+&}i zYrp|_=>AQhqfopw<^1dWE1gs7ODutca@iBmfD0#R4#8b03$xsPg+G|3k7&O|6F3nc{1yVUl`b};i^LS5KOHnjpB3&3epmgZ(Hy}koVLDI&=6KeML0R)x|hc z^HR!U%M_{SCM}dB1Epnxc?rf)SWQ7!jde|y&+9C?Tq+BsqLV&GkdJQX{n&NFswfqT zNFz2xFm|{G7M61=n?+i2tz!r%6RognFQ~p#w#!r%Vb9JC=IKwHvRy-)EjHGnmT36H z<)#MPzG9<;N1xS%Icg#yKGUMP;O^5;PsIy#_GR)3er)Kod8Xowxm0RTS9Q*?q96K# zj(@Vr4-Ms4)+VP{3U{9&sTfr1PoYWX;^vjOCv#qnndp1{JWu+sf1$*}_Pce_6!bYD z7e#fnyOPj-J<>3=_e7T|bBzg=hpvvA0;gvqNbn~1Lzs7Q#7Eu!L43#7WK9qj-rxNC zpZw<6fAyPR|M72r{XhNY*Z-X@fB(0?`SoA^=GT9UF9@;Im4r&VoO0yFfbr#%G%*|D zhcIZkHwv$c<-CBsBO(~0j$2Ner_G9H5j5g#eer|GCKgN5A>?e=WbDtRJNne>%2>7rOPCM2lE4546;CGS{qDyc%7V z=c-=a7M!ABuO+7KKL0%w^Pm0Z*Z(~v{+|5~9}qV;KlYV<$eZ$LqbVQug0g=lgyiu4 zX+yM|ODzH3rws$2=5 z%!IEzsy5_`DbFH1ft@iOz3XFm4qwbI^HQy&NCs=2N7+TK8mEXRtY(1T${^QJ07zqy~C zBrZh8V%B56#xiJC#nnzrrt;%S!fLhFk-nZE;?dIy)dQc8Fw`*j2MNKw5nHXKXq?2f z%CKt-${lAe3m;3oGuqWv!zZ75ii0jv>~kFL z4WBlPXHJRYqflTec;;*Q>dlA3Iqe!Ew-U5kD9q8e*XsubZO_|MoyX0k?F6cnc%+}t zSp1eAh+@pO&fqjPDP>|U%p6efI?xMTNK+_NxOhQk8dGsT*icz^hbBL>C&tTCae2(R zqY_fUhH?k%&Unt%BG@?7%Oj{Vmy1`VT!`TJ;)I=ZS7}7%@)}e;?xUY0+f&)T#+DH7 zs9fi0QUP<~;wZG7y2Q~R?#psRBiEhvMP%wsmxAjG^LVGr)n_DorpBR2b~CMUsOZPX zl5rU8eZ9D({&F8@D%6ivXsSXZMa4eWL&)=WZA0}pd|hs;ay?(=CJtRE73=v!NvKd* zE_@1K);1G|$k(N+FFzT(MQSWk)y$JkgpU`T;B|Az+nY*%sV@?#bC#;`XfY!W7giUi zckwf;EFP{-#*oo}14l4s(x#MK6W+e;6kT#sFvT%~=o$l|nb9!~N+tulc?D(uMe_w= zq#)KPBa5hyz|I?e73}Yz=TleZb5F^usTIQsdz>=Xo=7U<7NtA}PQF1Cx>9a=+FaNa z>Jv+c&8T3QFwKa`iDM^Mu$aNcdwMh2N-6ZZDhXRhzEYg)1VTKnh4H|t^5@IEzA%|b z)Q0bDRrFx`ep_=afPEeVUN3?r8vuOO6 z5;fbmZGJ2{XNWajN>HxQdB{7M1UW0x&-8{bGjJ#o-9BP$(lFOqqPJnoQd5+A>=_LQ zEn{ETBt$@`4CPHd<7LhO&OtXr5qRCxgV2PwCU$3Y&P2WH zr(O!fxAamhDvm7#oqS2JYxGiagvNS-x;WN0^fJ4Q$#`Ru$V#1^YZ zlp2`NSi7fux0ubTGhicVAk&w6mz;TweCX=e<_7lRH+O4bRTqNf+2`_npq~sT;GyUg z0BBqs(_DVjwDYY$BsE#zG(th=Hmm@VEeu0iT9?fp&~d>zESVgfPXt_^o=E7C?N?y zl5i0xKsw(W6WYJD1D+lBAJ_@Kf1M=w#?lND@+7;S{*2sj)Zf{Wl+4M$kkgZ$+=-br zA>)8MvbT-7W8@BX+n3bL?rOm}WSKpRzp*rnapW~_y&~cp;SbjnS#!s}<|Z|{^ui8Ly2cbg=S_?=5GeM?i#Bp5CzttjF(>A>^Cjdrt08BQt56n^JE&p1$eSE&=n z^Y6Ou`Lp!Vl%8aqchkq}#VP6IDLu*RZ`>}!ne6cr)}l|oTAt25}5bbS#r9E-o1JCM-R_MmWU3ies<>?RWGw8wY*en z>fig_zb3vkeUkMmS|`A+ZfvMGeTUO2pW`PoA)mY4Zxp@|sh`U8fMAHDKv_rSQDlZF z4F$bCzKR36K!GF#Ghw5g;627!pBwm)p?ne(hP3bSW~t+K`a!r1=VA%!2i;6)I7dj= zy5ps*`30NrMxfGdPhfH*7Y4`S!m#-d`8hvLsLsA~DzS%l*aFXQEo4AI&4+c*Nr>@^bGyFe%kk3f zNC3X6Jv`^9rmo8mixLzLCPP2QDRJau;b-fjqM*wlv+1G%f$hkae~O-`Lp=K#b7nrPQM z^zoAnKUIWh2s_F?bHoz+-d4vRf*3+WgH9+FWx#!2GUk(*`ra?rO zLbM;8^)uS|-qx{J;0$dap^Ui=HkYeSMPY~Ayst_U1Xt+(t42{xFRqFj*Sv86#{Po6 zm&S;oAJZ-AJ?xEFMoS@xd2dqKr%NukL$6GM@cnGneqj;}Aj1U}-LC16m}A|dF|RaY zPjyiEmA5mXV{SCA=R8%+ecB0X^!54(4QR6%)Liov(yK z&P)j&YJ}ZpFmlsi0<8@PNWEUyGiYJGC203{fmZ02DbzV=$AL?a*X65vbGg$repTUk zYzI%hWPcQ|#l7XJWe}^q7-|h5QU*IUJVkZGm z_}3z9B#sfrn|{dcsz2mL<*VEBLvb*jB0HJI*ZfWYFa80n!HzFi^$usONlt82Y!#

      bfCy8 z*H>%}Z6N{L_8>0ka;QGF<0PUXM&L+n#yaavKyZN&`Rs)SbL1vb+MEXASf z2QiUPbjCr@Ha{Kh=N@) zJquO_G4b%Gzp3v;^!4WR)9+_JtY2*J zyLxnxWyE*Bs!#I|s{Uhfq)on?J`ExJT-X@uO))yn`XoZB%IR-4CdN>j(M#4(_;L>w z?*F0gZC+*BvVEa*PL=n*7h*#cw4($Bb!u;FpH=bwao~Xs{R2eA#>GZtW@KipjLgU# zA1ik*LGS}!%a-yGUaPo`>+w=tq@aYS*l^vlXHV?dvE##rc5FQGb#(m3m@{HVWaQdw zpE~!7)Ty=C%A9k|Imi4ObIvh-KgO!SH6sTTYBLkfjF1csT^D3A8!oW)p={|@zn*<; zgg@wy|KjH~M)`!m1VeLPAx&Du5Rte$)I>vQ00u3BGOMSn{VQi@|JvTpu0+Y0B%_gz zw+x~Lzs+rrI1>w6Laa5J9kg;dTSV#3^3v(ylJ|$AumviqYI_S#%m|SttG+Ls-7LrC z06HwYxY6TXA3cn>8M4<9RKEuW+CrVTfJ3VV3iQd`O%YjgcjG!3b3sp$hmfmVMz03KMF_Fa9%y?Ki$_QeX& zx}iKO8nT(e(x~oHHB^8FP-uW;(He%>ibW~ILH7V!r$r%|L&*=Mifw+c7sgy z-#DIVuI*?KfrLQA8juA*7T50cBWb7uUP3Ki)Nye~4WvCAUVjTJoQHhEPpF%Q&j$|5M!pmnMynG3 zKIKiOg^>dAE*u&dD%C1<9EEx}qy~2g8YBz(isz}0;UX|XHC_a)8(LdWOf^O)R#-Xa z-yoGU{|>wT2lx(~{d9l;uE^5?SRkJUO(9|uE-f!duU6oaQnp=8(lVe zWg5T3=JoIYQ319bTC2lICK7l!Yhd5mkqA+Cswy%R{PfQ_rbcjY@DK{T#hJ$Mx)8@NGw%?1n{wQ0Oi9hkXH<8Oa`&Lx z!0~@x=^+w#jN3H>X(Q+*NGGwlM()+mOuFO)DW~3U$NN1VlS=8V|IZL8(}ALa`}zkv zr}kEM>LhfWw9nLqM@$>q*=&SxHF-5qq|zjp3k!*{Z8h02=`-OtNL-tmLP2P&q{3ZU z$kWK2z~aq3wSrM7=6b=h?7DjSEdqGKg^gR-$NuH7)&QV)nPz!jZ=Vdt?*lHPp))%k z?MMR`2{{KW`Ws{?8OaU--epRr%z>)Bx`Nc~s}P^b6Rq5pN_-B&b!nMGw6^P~3C&xh zw&=%r&@r1yWcPG7S;G0Jt41JJ5`7@VY_x6zH_B4X^Qkm17+SvAWgNH=y0}sfbY#pc zN=Snk2Y^{2WDqBJl%U_K6Ls48jQBKivG&ZwCxiIq0ivKoLkUYV{Mt3}V-ooRR<2R5 z1RM-`deQTW0&=13CiF7=R zrr4y9`L1Vf9Lb7Flm=cpB^gh2)*Jfg%2sbT2!6`^B_eUkrkRF7p~ED|f?AO}VH^bh z4Q)8(xZ%K-hl<#V{5bJ$sKF`6=#swb*MQSjbj#eS;G#&Vq>;8;kx^5|C7R}oJn3Xk z6vt_J%hFBRmN={x!f=$vK{g@ej&!a%KU9L#Rc=%T6G04)JU@<>ShsKWrxqL^QCS(y z)&-L7JMB{7vY^@sLG!S{r+t5b2+=nk;8Pzsxi`ew8QTs3@&#!l-fo+LPn`xx>|$J* zOxfd*)C_(C0j#GYt%+$I`b$LE%N-y^(IAP^B*NKz$Tp6}@wrk{Kd8>;xUh(JmOlf> z1o(e!b|=N;v^8zEdd8Oz={UQ`1J#L4vlE{61@MUu%E)d3U-l8UZ`0}GgO?H7^vu)qYj8>mkj zJ6RCLZ;)f78ca}QwhhcN-k^H=D*@pBtJ0ne2@>7!EQh=YSR`OPYPPn_`C-Vmjv3 zIOaUTeR^}{Yg?Ux%)caXwrl-4;%^Su@`()9;t7V~8VsR_y~1(Xwrl&`Tn~A3rrqnB z+vO7p#-jtOQBn!c%_p?~A>M-4r6=Z6@k!e#5!WE1&GqTOd zI=f<*=i*_Vvvo+RZHXN?yy5}M0Y6g+VNYZbpX{oq z5*_|YhLrLkB3m$^%^xM6O2D(CphMnX9sLWeB0M8xzSOK0n6A2^}2lr}E z2&6#+858b|R=Pz>Xa?%UpV?$|ZdY5%;A3*+#cF4cj*$&hZr}9ASP#lW9x+)I9 z31(D}vZzwYMvk})u4mF`?F;b17+~4L!@E%8rzG3Yxam4DPUZg03gUg zF^uWpX5^unFf*JaLN6IJG2d1go0+gNp5Xd~7m{_|Izs7?I{K{)c>>qB^rmxTo(bDW zD5Xf$Wf+HPH00oWL(ajBrFEyE6KIU+hrfV1WV|s;c4In5u9*5<43jF5Q5TYlHQ1{0 z+>G|clX%EM1|)4qi8b1Q6JBXtv29y{KS;)0u@gpV7>>EJS>LerW)zdqc24W(n8CZP zncykt2UlkON@Js9!HvpIoykX~*bx>X@gWk-<&p`Mx#SL&>5N zd}F+EP`wi-o@ZpkLsEXSHzi0L;eo?}c}y@9kJ)Iw43jAJt$%$8N+^s-yu7OFtE1lj zIgA~Tf9i=AF(7XHsY-gKsNMB= z0w%(`{o5$5%SosWT8r{;r94`)*FR;Ky;@dXckI~p(--#7|Fd6xb?Q0xjSpoAxGYwE z=ZuFpyj+$|w|68Rb6e!+*7$SBM0jKVyxYUMl`kS)*=c~}QWhQiVgO3`Qdb9wkCy~# z<~uPiu=y`fINN-7eC22RP)kuyHv5;~H#pnjDVlwOc!5dDo=zdf9Xe}T@r$^hcem?<8Uqmj4Z4P`03hY%x$--3sh@D zJUNn5<8g2#v4F@Lt?_AVJF@x0gUb-0fE(F!S`V&>!DXlU)j+Qf>iR)?bRt7?NS8z| zL(fiS?E8KPh3p!d`wnYU^oLH(*imF`JXESi=O}^IQ7eyLNyw!$X0EhBKq3P{r=8~J zvAwGMr>i(qs{W)|nt?yqm>N`gq7bcgU--_BU-ls2axB(XwqXO+iVo< z0f3kcZ2M9^l1W)@I`P2OgWJOkt}aHI}4dWF?7MyLvzb%>I7m zfUYLzy6o$Uwil(mKo2iqqRP;W^aM##rJ+#E$^jL-Dj%QfqLYQw9s3ls!yoHSGc?Im z$9qF%NSAaREvZ*8aDNMpVG-~w50%62AOuvBkRO{ybYbVXtt}lmW^%k)JzNY7*Bn*wuM@V%(Nb_NV!TKk3Hk6T~v)u*Gd%# zjnXfGYH;G-NT0xmv{P$IWU9139Zq1|2JPiE`v$>?dT`+ywo+3n8V8qJu+-q9&5(8{ zbJmb$zh`HR&C3sLf2GDGi=8MQ+MxzHDI%Ur0AD0vTxmxZpfxQZLXYb15CIVhNN%c7 zoDMWB8{SK0hsyMrz&w=+q89$hqR~1N!1KH-XdBflcWg|QP(0(jvG-`Akb36LsEevZ zFjd*l8qrH!;Z`cX!fXXQ%U||dYo#rsn z|3;nz3yVElnXJRp(u4qYy$1*c0)1$wNz}7BvvBx2A+3&#u*dX7pk;{VfgoR?CS*w`Lz2MNwOI=vFnr5<#v=yEc;wJN#+}KGdx1mC*e4-v9w-bQ+AuRo z<#VcRs<5tD?;YCJsoZQxgIy$N6c7f<2&q~Le;wd!FPVzSzdb_R+E(N=a6qjqIs}zD zJH5k+39u+7x(`OSH>4cKgVr~7aVFcGBuE^fXOWn)zT^&mh$^sj#(|^^k&@I^^{Z9A zK1>?t^6=uveJ11!Ce=sN5_KMn`1{ylu)+(tk4CRHDU$Yn2n&bA-q1x#S!kcyPF0Gb zJkm(rbP}RuIZRba*|kGc?p#uq6JR-yz6pAE*x5Yog|ebvp-5@ z1y$)oEmjlwA`NzXjw+Ni38U7QS{T%EjvqfaB^?Orr<{hE@w9~p)qK;GIIpv7m_?d>z|C~g zRB)69V8N9prkMxOdhNQtSOL=dpi{08C#kMz&7_%Al`lU$k=zhzL%bBT3*}>fx_~xl zk~$qyM@S8ym?x}Kbeh^;5t>f}Xh_fREwl7E&(_C++Dkv$e1AVff((hXyU?EB)s1k% zPgMh`%o76qPES^fh=$d7lIDeT7ICXWHmM zYm-KK{J@yU@ZF>HBO|Yv?~pDY=uh>kDu%>W$*-t3C&Zt7TI51mZ-8(ZO3 ztjd@FqA9F@Q+rFoy-xde54(^;)MRKAIAbTFcmuEU%^FP{0?SX`I=2Nyf?0Zdc+2so zkZE{Xu(ZId;3O+xs{`Q}oc?A9| z5;EaxfKQhn1aM3}Txmx+@y)9N_MnlHB#PVhEFc^v>VUXH48YLl;~GJ51|LV3^8I#b zJ^ZP{xB}fzOwDf=B4VMX+08lDfNv_vcW!OziZz+D&pNf9PMA*2y=o<>6xZ& z!N7sEf-q~94ryjN5 zeq=XEB{v!5s=gX(%}R-~^hR)^?!>BDnU#;zR|>JWZMj^Ku6P)# zUueESY@)v+Q3Cv%|bs8Z)+RSn8--EcDtdGM#s8A!5a`>R8BZ_oRF9K!+_XvIUh+{It;te zU7qM%M0ckMU}VUc%LdsEWLMaBhcOpKOJn0RvO}$(QT8684SD;7krBL2wq4ri&1d8b zbKE$*JD&2N8muU{>X}YM4X%VMy{$RTmG~wV3wTo-rkW3RXN6|I(WrH#C8-t_>(M0zPj8N z%x%xX!npS;+lho0(Fpe>tQufO0ekW~$+QN)1#TA1T5ADq4q9Q#SUcUdDGr5QJkhDh z89%qh8Pofo&fnje>2bXX@RIsc02yM;FgSyVMvc z;^#~W6C)wF**>n5H4EvPEE#@{mCcj8h3n zqQqS^3#=cCHj~fVE~2A(l&YI&5W%VlGTK6};EOr$!6*>C$0`ONM?Mx#goIsJ<_>};^$D00 zKFVVK$}kmVXxfv@N}Pjn2Ak;Fhm=8N=a_Cb+=o*gM@$qmv?-hj@r}M>ZajE@t7ycjYCP_8AkGI1VtlhvQW?1T?#lH{3^ysl zwNV$p)QFZwN zju695K`;$%Wlh-c^3K*I2Ok6q3uJ{{zbsWOMR*uE*&ZAs25IqvG|CsMeCe3ahY!S% zFCD`U08>mVjMcKD*oQbz0Jn!BPj(Yqs^&c?&g<^Iyq2h}3?4S#zqm%o!a9G-tCA}! z{t5`@aHS{UD+Wvm&&ccFl$)tyRW|X1qZY=#ku6wMjW4Tftk{4&rBfR3V@_PC&^}Ri zL+G$4uP{tWHD>eS$1rA#9mOI$giEU_;;CHz(7edVmds5bw#{XmkZT@aSJD_pcpMpG ztkrJE{&rYAg-XZQl{ChS!e=v-d3Wq(GB<^2$5-PaHpYiVdFXRh2lu2eKX6=&&9AKh$Lk=qb&5~Lx@R^R;5MFl)6Zw07TayPD+@ZMo?w@3RLC;z z6F{u+!<5z!I=b@)0}j^^j|{2jB(5LQdKkyn%MVX=gZmNS??zm8+*g2$D8z-5lY#Ch zgBQ@cE{`jqOeYD8^~SUwu<$~L{&lh_Osrj7Ce zBjB}J7*DPUfy4Zco;bc|0ofZUG5kHgKx|*?q-2xR^0%wUNNGjmmS6{=wVQU7ha~>R zdnb!NlQ%7yJTs4kNU~b${{R`oq__=2I?gh$$LrLcrr&U#7GnaPz5| zOT#|od%Qz61tX%;;@cmO^et|na!yD6P0J6Nse7Q4-buJ6wTin$o9|9=vwuY*o*&2- z0G>IGmZ4@kVQL>OI!++qiH<@W8f7icMeR*OrV4>TJZ>?mW4~$g?e-?2PZD=**Pk{` zO;=dlL8M&?t`a<;>2bjn!0WmlCjLb%|X?K@KpML z4M1{c8X!}?Z%#U?=;!eDnB4`Inn`QP84Hr3%a-!z&<7YKc?D((GMMwK*1yiq@w#zY5_bL`Lw49Yr4KV7{l_!QS;vPig2F z+R-r-0-nk>O(L?8T4$;k{#K~9=%aSeo&Yg~Guz@QoJpkd?6KqJ3fY(yk&@8l=z*kM z>$fhY3G@WDZVO8_){0J?L}C#|3&+|PM^~u{2oCILgx+^(Om6S$%_eU)N<(-avyXM% zz@#b0x~5E9F-iqP9Xp}n-F(*mM_y1EVuHT{wA+<|%yHqc((3&W$n+kdk~n&f-`Ot5B=jIKw#fK=`Jq|&e2KN?bRmWN(@r96#Ymi%QVoz$mBOYsT@*PcJ{TbHPynEpfV-X|ibnWz^%L3XIXl zG;3jsnr0mRhSL%wB)$CZ#3|vlilQS{6{k!Q^d|k?H-H^uf>f>}_YgITY&~4mBf?F_ zEbWxEZFxxQGbmk*u}go&5E-}((Dw41P5G><=&^UGONK0PmFY;q?3@2CZ8|^_f>b=< zvb}aHI(vv~-2r-Q{1dq9T_eN>_CQTk6>C~f_^NtGL&pK|T7jliHk`i1i>uxD9VjB< zRz?4#jlFo@bMV{K6N3i%9-Tw!FhB+KBxJ|pXd(jGbIu)C_^zcihr%F1U3Lo46zXH;n z65f#>Y3Ybif%r6;C@G6r|NN~gi>0#i-ROaRGkjMmAM}HC0@P*wlRv$4!Ll#O)Kg16 z|K1cUJYT54^0sB%DD4Ai-`*G-@DJV;8;qTtmdu636A^&$k73tGD;z5ks673S>R!!{Z65oi9vM)o$G2VSyl1mT&6s>HJ0k3^oO- z(00&37$*X63dAlWc$11(7Z8=5$_<24LC!abWJA{nb)z{``Xs>zd)EH&whk$LoA_pi zwo?P?MDvfL{cMf;%l%GDHU?TWZ#9+JlTlMPm;7oJifeAZQL!?k(9nFOqqZlJG2TtZ zd+AL}$4aD2gFWxQ?Z)EqCc+><6HFMm6BZY{ZYrEi&~VRa_*ekmRZO)DNB3B}g`pnM zQ6ZKBO+1<8W{S(LF->$X(<}vp&Cs+z9}FRLCvL_vJu*jxc3=uequxz1w)kWeEB%`N zb~AFkc-8~K!uYpXfMPSj6%pZr&M@fcg*jWto&^tYJWPMKm>+Bo1vi zC8e`5WcKdTyajj+9kfrFOBFa~bRE*fRgozX%s2x*NCQ$~A$1KE8w#B464|Uu=^NH? zFH?obmS?PCc$GA!vhL(G)Z?0Yp!P++k?Cai=}ocm!pKT}d9{mSW}5Nkf)#)!OH@@j z*F2gv-5PI7JHtnPC@i5NC50u{*I(25PCO?8I((&lq;>MAozrdXUt(iF?JW9nDj9Nq zI`M;oXa{Awe{_m;3 z{mVW>atQv^`JC z8ZvrZVm?%nb4lEf(LuQXrq4{&4>s-t<7YVh3>5qZKj*3Rp5PPu#z*Y&sDL5)=08ZS z|6DV7vrjBQpEtPp16XNJ%Sqi}0|k3RMaFbpRaOD+t{s4a+w~rl)}FBT)pWSS$Bwuk z1;A^xI2{}5Dsd)H_w&@T6Gwrh#>Lj_qA}bv>u}1?8xTAgX;Vq7zf$QFu+d`;;fAeXh}%ii%#-)a_En8=n|2@;+u(L6^^sAoO@GOdi3pdFNS^4myi}$aT9>>$BPtn!WH0YJ|`hENG%_gPz?dHQBs5Hy(z|2&bdnx1^)uSAXq=ozS|70S zz)V;qr1HeI!bl%lWD0nTj9P-KBVGY!hJf$K)RXF}>2YN$G)e4nVWf>M+$iBz9O4bU zACVmCpu90TLr#O?g72&P;A$^J@fB1Q5y>=d=vqODt18;W>Wax7 z`-ZKxLJ_qAhINdYRJnXBh#YoL($=u8-s&~o*cgAUvXFLSTy?3#8BH0oiwcc4G)7d8 z$rD`O=@2R#P7VOuE|f-ncb0>6#P@W!gmVVbo0%cC{S`?~^j4_x#3Jk}Tkxr;*2+ z^E!Vj9I{E)U@&4YNir2CVzRjynK7}5+4FNERw=U{RZr)XOWuLs8gpn~5f`&45edSZ zO*-CQX>6RP?Ey*Wkul^A26QckHi`gbCJ<9x3yn{suP9z^Rp8F0WjyhK9QA}M*ZRu`cq4EF)!&?4ljZnI@&ZHiD~zslcyu&yuWE-ok~d_X!8&F%>)%{ z!C2ME#z^KlTnr3h)9!a~L}37=xaAkV5Wx6w6%pOQ?BznH}uhQX%Z^ij> zOS1~MHbXMQgxCUxxC3kLNgPe=CtjU?fwIr_xv%nuKhp7xfZhxlh$Tt! zC85Rawim$R_jG_V)BB0F$*)z>@=4SKo(H$bBb#(16cOWxK3M^}<}fQYK0+L+`tZTf zV?D;SH@3wp$5kSpB3Tm*PDF+@Tip`B&2$KSl5{gjU$6IlD>Nm>cR>gmYfy_JnSRdUAttU9Ro^s$h@KxECSA>a^*}tZMc>NKt?k0}5z<4lnS)ouA4o z$I5oh`x5?b`H#vU;Fy66B{Je#%DzzqAzBU%c$;rh&T!3!5L}6f;%M?>MQg4Cvjn1( zdXo8AuS#6=V2#61*aYmRW5X$`#R8`MLhR@K2oEhYH}#B={n)U%*hP4u0WpHr9^u`P zKNg=?L78KDq9rHq_KfXe@A_vfWs^qJDBRZdhT(Al|MA$Dv_tIcZd30-_)W*-`h>-4 zO-n4ZJl72!dDrE%{ZQ4h+<~)tRp1zOT4=#P{u6a196%M+z~PG+82l~x7tdGvv$ghp z$9(EdxuHYGiSMR%&bg@1B$HNIljez5!Bg&h=lIqI2(0!;c;4a{aP)Q0g}4G}S)Asx zk`yoCW7$7~dv96P@a+d199FwyQGQnNCx8;3Y(ymQp7(XHWvS0;%#2@su(w>mXN7Vt z+I@erKb7+;a=lpawq~t-prJq?Zr-9$nlihOC9dD5Vz>R5RZyvOTTr<}lht2%2&z%c z8|otw!P|m~fAB7hOmyl#iQ^U;S#FuOdtJ-9PqEa%8=ICO=R5loI8rW30mGo6zojcX zc-cY!C1dD)lq=r+wC_LPw|t1ptA47h4STym3Yh_n1&upn#5JAz^09wSD#!@yX5e`- zG>PfJK{TGVZi9#J35 z5ghas1#?2?;9;dDe_rgcM&z}O9o-jssbig~TsfrL!%6#tt&vQ4n09bjqca~b z*LXM8WM(r4C=`T&PU}#K6-W2zn^bF0y$5K`-R_W(wAUHQyrCs#reZ%&y z9@v}mn!^u|dXj!?R{5c9nES`+`sP69l`Jp$NfzaCN(`U9d9nMqe?AaL(ss9JTi79f+WGBNRpa+oP>w)UMcf(to9d0>Sj zNyI@iVlg%dvJt)~C-mT#jwdodm6WkT`zEZhpzki!8x6H8LWbZyT#=}KiA6_FI@;9W zF|P9G90mv?oHI_RYZ-$NOQ^Y9(NwEICUTsR@Ve2mQ_4FJQ8u`k%HoWPFLyiGMfFK3 zIEdW`PDY}Ae(wO?i2e7RRfV?zaL^2@qO>Zd2=pbTAGx-GADOBc6XVj5&P904RaK=k z2GxC4^E_%OZ4~1%I#X&(6N?U+e-Fh7-RArFf;3dgH1GY?@-o_eV+#XMZ<@Gd?;#u)M^mh3H1vl5QNUM~>m@I#J0M@ho~M>YM>TlzA3Opi@Mx&Q1Z`#t@Og z)%Iz^2F_Do=ngNKq1C1S&H^4scvr){GVWsYPFUMj9RxI6CQ9Ivf-`^YvA_GxAH(cM z_R?h|{BHaFf=3vDD1cinb`5SdI#yF_VrtEUS`t3c`jJo;`EjWF1V32@WBPFu*{wE!QtaXsO=0!IPX@@oJSAfBlf#Qxh63% zPt1&SyfW~0frtukME&EhzWPcKfE<0BOLj{|Htvo#sm@k^v^^;6cMkj>Sx+=;RwW$c z;6(^u-S5~F*T>f7$*m2o4Bt6?B?`Y=%##d6!r!q&uj4u2Sqz-yGm;zMh9njPQw8vS zmHQERp90?sQwA*#=B-1x#5Z`B`uGixYb z)0l1t9@=sE5W;6VVPO#$lgT&nLzIadH%W+4Od>ARiTmJ1c>h8NP|f~l05t&RidHMN z^3p+_j!UQY)fs-XH$~Ouj!I}>$_=f}7(Gy-tv&`xt^W|xIN$9NK5?X<^tXUbJcNG0 zpECghz@r}E0Xj_?tCT5!j`$em#*c6PnOslF4FZ)Kd^8{IkX<-J&M}kkDfvM<e@=R&lq=A?XkQ-F4Ia;V(~lONXBw8HtCy73U;?)*{e`Y-V7+m8(A z$c|!$+`$WsY;PIpruS~3ef^D(6pBnt>?;z z!}R7Ih~!3BxL~OUp*OEVI8Q>Qf9y+OBHM`W(=GSih!*1oA71VJc46f@1~O`3zopWCf|1Lt=5zG`cSMr9C^#&_uGlft~bVB!*?}%RoUVYPy++J zDIQ<`98uPHhNSz(o&YSE&kKP+@#+nup>8d9O3)#H^wVbHaPAhZv?{ z?&#Zh`JOu{x~ryOJ{NB_k-S!}fX7b!eN&#g03I%`!|>1!#mQ-OlCecw%Dg^D}z z3ih>6$v95p#R(gJZi#$#zACWYiED5)_{wnElc0lH;ql#-n+6B%1PD&um8({{%O3L$ zSlsQFEX-zzI{GY-LpVE|=rMAq?Bvcji_?b^Z*cSgU#9qSyZ0tE8@B=} zJaH{f9k??TCxzgJTKabvI$X}~mvq>L**_taJgVrzpF|lSYUNpYsSo0GWe{&>k<}DCJD zcUowqkh%;KZkid>36RgGdr~O}36VwA;eHbLEVm^jfaksx9GQ#Qm|Q962uJ{Ca9+%o zg13qT`PJ8~P?|L5b}JKNo+EQEP4P+B$_K3?UMr=y=7|yF+12Q+rc-y%s*F{2r9(7O z*1DWs(`FexXWLgO#g*iZK#$ws+F;hRHI(eKp6{dfMEdf$G6gx+X@%Bcba-9wJZ)d1*HC zP+!_ZIeYq|bkPINnvYo7dpsZ7Co<8V0aEqk^v|o}P~r`a5=JQ<`<)g*vs>#Q{2lXb zJA?OLf;sV`kp??WrVB8m94e<|H;V9V6g;a#a~)MvccX3ytE*9`eE z(P_j$+=$IJR!~Y`o?GtjaagGkogl%xQ!v}xX7hZqjL^}?;wREshWYdwx(~jH0RWcZ zEI-RMpD0|Cr)F1}gouQo#?PuYpOeN&@j}YS9_N71(lia}bR{y@tsn-bF)rb!>5a8z zs8fh>j;FlLnUG7Q>9}qg6DbAVaNtfTAUN@S&E*0j8CyXbv+uW`+>~HWbYo@ksY^1B zj2Ic|(}l%kSbm|}1RmLe6Pa1&^V`sB>Y*uUznNiiB^g!)6cf4Zs!hwPk!?0ptsTF$gk2g}zmq??9)WCptRi@%Ia?BPCQ{!Qf1y+cQTmWxz zYICU=20o%`LK@0pNK4+3bh1heZN!6?>m}Bo{!~xR#7(0C4)>!8Wgwd2PADDi$Y#i8b0&vCg!FqsJG@p+j3f zEg&ZPo*(FJ<_k@m^LtWd2Z|p)pmCT?0Qdq|XIvmGr;Hxcn@4U+vom(I36l(&=%|9w z8v0kj(J4!$D@nEwnX`l06Pi`z@IZds=RCep-Y0Gl;b~zAoAGoW9rd@(tF;0MbR}3b z2tW{;jd@a?=LR2;dnzGAHc5iXwfs=EIzOzXrh6=}WqGeCZsx75*V10$BQ!pz58d^kjdjzf2Fh~!JH6TJE> z^^OTJuqfmE;33~IcE@1RRli1Dp&-*Jct+}EmodCXJ14%^Wm+XP3=`k;tpDZfuf8hV zwg)yWaI!WL9@6oLR_VjuLdmZ z(8=Lz~@c3*JP)#pTz^aZd_)H-NhmE%U%9 zmeoIr0G{j#%p$Yq8oPG@Z>cmkHjsN;ckIS9G3L&l^4=FMc#380kLAzzZZ8WNX3day zv&qJ4CnVEia7pvHdg)}3&60E`YS>{@)>Isg`>QWbZFF{({gt+Ya9)wYj-lODyPl5w zywBcUnYqEn5!p2p8GrT7;w6yUU)8Q@5RUTKns4-W|HT3i08f6^phDM-O+{ukyW1w} zyb{HJoT#lATk#A_7Pn{!ujjNOSpk9Cav3y#vPmGV2QW%8e8brH;I~72iyhCmaioRk zfv2t#BI*uou1HKPw?;8nk>N-kF$!TMqEj4rc}vC0Jwx~friBL(2Net-CaIgqW{MpQ z8xBoN-m3VvukLgvcD<4i>oE0_L>}tN6kcd(0x%ajOa?)y5V7!_zpz#W?_Y36E~sL17@=?ql2l0r2EQYv%efyB&jD)mz$TxmIwFlWXrV z^ubINaE9d8XpkPGN@tQBlpxmM`Ke9^^Cci+6CC*9qvcDMzN;LK7ff)E9V64hG147< zHAC^$q$O*??UE*T;!oT)vl~gnQj*H@0??&#X&rq&?>M&JR?Vn^VSSJ5h4o0b+e}EE4Zs&%are!<)*CYnKmq_#`n-76D6#?=htps7)3V1UF)G zK;omb)e5CBbP+rYXz#Yu5ws2-2CY8FaX(+@<*IfB;sJOW9$;rPYt3J^_I9nlL&(1u z^LKQTC>p@*BbG70!d=K`-^kcur_5j3z9r$6$j(P8`XZL>DT`j!tD3)z@Fh)p_*Ehw z$dGmbj##tXCS(G%-hoFU<)iXAn=4gfq*FXYDx$hxSv=ZTAwXe1;a{`_ng?*hrW^6;2875O9MpIz}ce5&?>Q}T%)$Gx*tE*gJHp>+jWxrQQ^2Zk1rP@G?XrRYwC!mV+B@c8c(ZIiw>2NXliWBZLVTlARaEs<+c<@!yi>b@I@tf(T{G# z&E$kK)o*FXsg(!pByr*>Y7y17 zW7g<4F%6n&RbmZ^8Y!q7GqE?Thd&e*FQlHgG8peRhV+4D`mK%W<;Gt78paA4$4ouI z`729g%sXJ+7|DItv<0|R6C+Eql*OCX-(740(88(7=ZMifN0eHVhVs zf7o8PAp`fQ!_H0fXsSL159Sg-ing{dET?169Nd{vo_BEVYA!{8#m*xGVcy zkjaLCY3#fhG~nPTpGdsA{6CUxz|Khi(#b#p2Zx;tm)7H}-)#dt&4lWBDlfx~Y@ z-R~E{$1!Gvcw7DdrEgTYk73v-yJui)D4uXcR?Z**prOCv5DU{1%!>N&4>l0G$bxUd zFQ>lqzxUGbLqsFtgrt z0v;@ra@%uN0_Jtw*w=nn)7W~V0T3>ipLvUQ@9M)9M$uyqG>v$cH~OB#i!$G-t1IPN z+qijX4QhrDwglftvz+1g9OaY+i>0<*-*r0x6_HuVm`PXRl^sNEPFo58nij0jn;-0{ zM~&~^wAxRsUs?)71ipVX)o4(_CShdS_C2h;9Uh5K40VbyRV+ui8s%L8(dn8(2Gm?+ zFH#g|E*`2%8H$#^6idbt9#0;LN2g(!-hxs*2--`W?uu|d&6 zhCVGRc}bOTn-Uo9ha3@X#il-vwHV7}639shMVYfG?#-3Cl#c~Ym6X@slQ`*^qMdW z9kxw=#{64U#8@cvoeo#M$sel*+NH~$jKvbqjZ8#UT=+`tu0D*yIp)!DGf7hC6?t#2 zQ@+~tz$=8s-0t%|{Xshe>Elk7W_6HPlkBZk+0q%b+?{kyEK(u(?l9A6tGKHN6u~9Y zrU|VBHV9EKO>xXObZCCHj6HBdH#W!W@9!4C^aH#=f3)iP9f`Bfsi|z#leg_e;tH`lh5d-*!GRIJ zims!5t9$wVQz4f@I-p(!q(@fMLpJ@|pBYi-rhthII(L!9x}%dOwZ;Zn9!=4vZ(F$1 zo0SfXN+*uSo@X6Q1d@V^La*JesxV2lcTK-qQK}xe4Z7+HV*!kkQ!Uwk=i_~)+1%*B zIWXcI_3(z_Gq23B0FGq7>WWo;Lqlpd>VV}cJR5<>$A7{GG2E8oT{IvoS zg(@)9b?S~93GQj+j7PP-0-7^BBbkg0Q|O%NU>F+hl~&|kQGtLK-F7Ii^$|-QaATqN z>xp(i0pAX9b)9;qt^=)WqlV5Q2TkQ;-E5d>gvMKYq_t-lZBprXFbCrIGZm-aotnS3 z0DnOnzB#RVfbg(3a)Nt`Ve;3se^>3i@616FP6Qje2)|SpTD#sv;;i|`csAv(LHS$K zCR6V>z}-BQRZ9&lo^t!V1rxAYfUzE>fm!8fN%R|Z;V%jv#&M{|@l0x7T~9U^Y({EY z7;Xt=#Xs-0Viu-LaI2ujLCCt^*Q?cH1GHw6g@%OF(GsZ9@&@hW)CUCAP4)8IL;dvf zn>(wDS(eco@sF8I^C20I-4HEw!|Q7C7X{uZJp6(Y$@>o(H@zt2UbUmC(!(!M`m})1 z*dqKp>o}D*-!t#3yr|0OoR-Z!>HSKp@?w{Uw*^c#iXW$^WY&yeqOY4?iGKQCiKo31 z4GZU{DS-NXELzImlnxnY+igiEKn}xi)szJrv@0_GPo-ndWq%^x82!mo^>1d>(x_cp zCgO1##0%5lO>#rS^qR|0ZuP%7eV+mBx&zi6Lj9|n%;4ktRFu=2yA#P1oyQ9^;q%(| z7q*sUR7tX+lDCigrEMj>)yGmHhV8qgad%y? z7&%lnYsX8o0Dh=X;0^koHMZT+w)>`8Y03fTcNI*#1Afc&`92_j!oWUW_ z+7)%PD-;%}Aq@t|HvfcIx7=ZVUx9UXw4^Y!15tDg}VbK{;Du*+YTE_wWA zVH64%JbR!e-ste>vzuOOdJp=p1oZ^;;eiLj5E2vwX*v}&!G_en&7;F#_@Hq<;hh&D z40f7-;tdSXVIYK!E_)f=>>?ln)pe7vR;6;P^ZjsMlfm;ak?Mo1b#N0*0e=}KbKg8K z^brAUiZNXS{g9jF!Sj0X^BdqN2M6WI^}|`S{=IJo9z}g|hgmZ`#xlnn^9ViW&(Dr5 z4>S+gRlnjPL5k^d)zdxC;^ucfmLr4|U=ahd&x*FoLv8`z^-5WqzF5qnZVX*IZNax2 zmp^T1VWqLFf>s`?>NFdrU`ChkG`K3Z5xC*F&gIIKD;5B4s-n18MO+}$A(~3s)hA0` zm)y%hX;q0v>zGUe^J@JM-zY!`27u705Hb?Qho@nF8pn^n4@0La zYA|%z8q(oV(?S6BhHE~3v*TM#T+|~vqdwa`Ei&tU2TaT4dlvw0>wHfW`h1}DbxDGD zwU(n}T$y=>=8Y1;j=*hy1d;;D@M-Y?YVnSSHH{V^5*7|^Z)JTJubwgH2%WL1_jm~Z zn0I+&g#d#l8KLt?hwn2g0%ssqfl$BeWVG89IaRyC4IChBSs9bu=Y5Wa=}ZH>rd9Uz zsGBjw`LQb2ebeUfu3gorQwv~B5|JqkjYEFS$xy3kutVAjS z=lJ}1yoxF@_ayHS_{)u7(+tMcR0zndto4G3hSYp0I~vLPmvm~T1ZA}Nwnb}`$yOX; zX|=i5sh^HdQ!GXt9e#-mO<-J5i$*DAN^Hppy^ebAyHQd+xMzBr8xPs-Kb_r48^o-i zyOB0elQMN{`r?A6ochOpSArml4Yy5wDF6EJJL-=D(o0+dk(F0;WFYPPmJVnW+s-sp zu_0h#e1BWy^UHsWjg^hayCtsbCme7dX$1!*&b~O6;$>_Uz#ND-1qAGPBewiha{E-k zPXrGr&(w&P_B)K74h5a^r-s&o3ODYddG|^G`sP(LmoU+qb1dKkeZs3-zuVJF*y1D$ zuB4XCgyXe6pah^R+s{u}R*KoRerN~>M9kG*mF+sek_o|<_EG^$jgi(?UDUKB|F)k2+rHkHoha?)x2NKHkZ<;kHz{ZAjHOZr^OPpc32tWXy5|Qy z_#C%Am0Ubex_x|9n00%k&_C()S5@tOy}hYKHNXOWXXwpFKs=CJs)80q5h4X_3EqRH z4Z>XX&aQd+{i)ajt8DT1f*tPJ{YpeX!FN+G>#MTGyVVsYDL?9+@a{(I0?qn~uy7)5 zI#>_b7f{z0K)2ngJeW156ZvydG3iP(yQrV)n-;cPeb4K3c>3#q*nydaj5*q=7mC(J zs4l)OL`c;arSD4YhW4hf4mD0mU;v;4Du!)7IW&j2f<064q|pNCnB&T|1Ca;@e!ip6 z+UEnbzq#ap_>alB)MF$v@0DpPjH>s1vk)30+>f+T7NY8b)ebBx&o##+a7ewuje5U6E(f%Fp%pq3bVfachyvL8 zIt)VCjkCANqxyu*7HQEw&2G(4IF?rMVHxG|T46+|yw*Yl=?1a&zy32{eT5qWM@TGS zXICH>VsGAcO=lX8)^Jojlj%`oOBO3%=bM)wa8ARqWnGs?ItDu@n)g`4b~#N1{UK@K zH_?WHv&NZ_zYk1Y37=C#kR|J4S;P}bBETG!dFl-sil4SVck=^ zKYc3U^gWf;XytU$^uH4qNIk)=Yup{AFj(YO%9v^@f{p~KCuJ(L|%ba2>W+# z)5g95pC#Zr9sS23k*D zT{nCO=ln_Cs13kPrZg42jHuas<%`C*j{0cSUqibR&5!-dp92DcR9Vw-h-M-Is0!>T zr|MsR+cGn9LtUXiUC^HoL^d0*Fo*)4i6e93<+ot_ae5jHIEx}=wFHatc5jQ8 zqO+)}$xIF`0*owRN`ZOvNHd1?zaR#C?}mHa^KXRExVCW-fnaphnhyCj4cXnx4+xCj z)u)%gkp9?$;1lt!ByU?kFST3xo5p=tYi;_cJKcWHU;aXZd57^R*^dY|TljX`o=(_O z=kvyp&r@YhqlvbKoXn_VVfKJPnug1~mKKNU!1ro>R%4PIbu)RT#-yJd_SkG1&PKci zeS+5evBn53=ydkOigf){Vk*^4tyN4rpGG-#d^+p1r?Pwb9kxmigf20jX!tr$G^*;x zJ_9Qp_h`cxqewg7)~B|{nY<}K_Viu!itM)NUjESvM(WEC6=f&$sm-0?)5$7S(^7Y& zy=Nxw;b$s{RD~*wsis$SUf$Vaa%2w`~t)Q9F1)O^lSFziS)tnGU=F#ZI2;r z%nRedoyyzy46_eA{se9`NE9?!!MrUQxha&;3g@z?6JC81Zon}anFQcy3k|tq!;N8J z8s>rvP`G~r9T9~B*2I9;oK))o=xZ(T+VCI}2i~-VyjRIDOiiZhK7cyok+c;HgM`R4CO=J{mF?^385{jBX=CfcsY?9 zgf{|LI7Da=DCxACk^D4LQ>*}&$V4V9Y#0M7rxS;OJT--mn0@jP$U-I3u%Y4L2!fM@ z;jm3|9i$Ff9pDvA#hx+vNronRX0fbavHvbLFLxYi90N`G!4H9F;3vLS2sSsU*1b3moiOr&+vz_9X$Z!uG_>|G4ndXfx&bJ| zoh)zzCQSFzfKl@zi`s+WHa~D_zQ)x3QJUe6Dg|(Z3*fMdda395*C2M2G|QYgBJ0ly zya%vgQPn)!Ou=UrWN{jK^hNAM4=xC^{4@mS0-N^KRjC`&c_Q$<%msi?4DKjEO8Qod z8=nJ}5ruvb#fcMUZa^ll|BzBqN$Rf+Wsdhkktk_*3S^nN@t^ll;z>&Ia>>3xty(CB1tw&66OA6E6y>)2OS` z1Tp&{E&G$7>U=zbgBpMt7XVr492rLP=IO$EId;WTtYiK{&mEYp&C!Qj(U$%J|$!JG9g z5}Sm6TW z(3%oO0j-X_p}CSi(CG!s3XkZr)hcgWI;W?=DdRkzqoMK>l_(ky~KFr9O#dtspV=Ji+N0@ zmm}z&DvRe1c?7Vl%b)n=f|eAe$vDI6FOZ-&nSM+oC!)MT6j#!r#jro*@+9Y@bUy%4 z_Hq_aAXUs>L7pgfb)HD&p#esVP^-X9ri}!nZNNiP!gy7dP-Wq}DQ8{r%cba&wjVzZ zGhIlcazsWU!F&*dkeW7pT}rC*#8`4*;0f@|zTYtYQ!J%Kw7;cJkeE3Vog>nne8hd0 z)>ueuF^&Ax%#!LX9Ke*&>H#wGV(8;Ag_#p%W}a+tu8~<8kgazFVN|RKlOOpsFO57j zPR2X}t^$q{?Ip;n1A})Q0&&kXb9zQj8SdCahyI}~FztLZOTb_&RjHfhgD^|DvqX78 zl#!Jf24<#k%p~gD(H!BBoMCN3L7|x^8uR>!;XaiWkFrwk3LLZXZf~?S%E*W{Gf{^X zU8@l9+PX4&8@&LKLo<0Q$p@vVCsxr5_naF}1H769b#SkN+4 zA9DDKF?*tZ58W2L^TGud9zHlNo%sB+s)~W!%%^F|lgA|O3`~B!z$Aie@p>$W&kKq6 z;@e7j0Jr0tXC1hv!e8!If(+Z>mbTO2qpR#JHES_%A>09HdWddQ#dn$L5`^IihEim* zXPVTd7ojdq6>Z~93qRQN@_hHER-nhTACv4ORKWQcTUx4 zDj4{O^PWi;b#k|STID@KgEE;t=`+P-Nn?WtXL?5?%y~Cez(NgP8yGIA_kyrqNW9U1aI1ps%Ty40ba-YXYeME3J2Wad?wWMK+?nq31O>3=?6VK{R3%?nBR>wL zM)8!)Gu0%w!;E#8h6OPAZ_0oBkaRN|lI#OAfgh(`Pt#Va;`N}Il^);B2ydQ-Y-H># z<#`}rjNCXC_`3;ox$hfPuQV6fz|QXU!|ej`g+tMIvzRN9O`*_dNNE?FAq3KJvH8(w zl@EQ~*M15!KOA&m_x*SQ*QCnT1Mxf-Yk@)AX#@=eZey$!6jkje~&rhCHH znNCQC8I;ORmuF;fGy1SbE|iahHSLNvo1H)}Mg_cBK@hvvpMP_6lqW-sG)ICZ*p z@6>zTxGN~fbzSwxRS$~Ldhb*oH!pQ?RTNtK4L34^BFL<555sk+ttkgSkcyoPp9c~$ zawFFra?^-q&d9oKUn~3K3)Eoh`$0Bl&IaASmX}d`aH$rA>5$h)#8(SN!lx}ip6!NX z8%C&4y%|#N$<$!-ckn=XZsZxzfO2!C0O($=1{-3rlVouaS;l^K?wd_tyxw{-=aUR5 z(dIfE*=2osz4ZdM7Le*Pvs{=InSG?~2v^09{$-E?FSs1+fru}m_A?;>Uie*FI_adX zd5n}}I)~~4#SM;eEu4hlQoN=Eo;`l^o@yg4$@miV=U*!iYraWhYf+(di8*L_ShbJ2 zUD7e`bSGJg#l+ z7z9TNxCEqddXRv#OHP_`igsmJob3oB?_A@F1R&sG@#sld3C}Vn0X^8_DaS;Lxa|v_ z7$mF8iIfU$*j0)K+8_Qyj%o+21ia=BO@4U!-32ZjQD|NCbY+YPW>_!-9%y1AOy1s6 z%eJ^e#eL@k9WfcTq*>Fhwgm{q9zM=^urJ%aL%Tvk^*tRdcJYzq2;+C!yu{6)&4o!o zn*+jSS{^`SNGBRbPRHS;vDK;awG)3wfV3m*>`0;~>9FbGD z`KqYIJT9i$5ZS=gn*pVhY>CbWM-EzKtGer!tMAe7Gs~l6j?VVBxz5Vc!C_7iB)X2N z&iI(G>lGjg?v$izhpS!HD42Wey11hT9D*fBs&jB`9d?g)PpijrK01u)k}{odi>S>_ zVRW~uRvgpGPTJw>#85!dtgZ`#BZvc6lK(q8$N~PSz|5{z{SmJH2YZOKX&Fy(O%uyN z0_I4&qFT{t21oG0rk1ocQy4AZb)EPVFh*(9?vH@`FOO%MQS`}a@;m6KIQft^pn`ZR zZ&36Rkd{w{{k_fi^BpktIIfH@sTrf2v-?JAAv25f_Ke$6+UxKHw)7d9Na?inNRV3P zQMIajRvEvR&`GOrxH3*K&lMwv0Z-TGvcWW-{&li{ZRhhW341{9ZQSp!_fW;UqII&N zmZGNY`Co7Cd7_)5Q#7n@I6M%q=lKTCKJ6NjQQzX}98XAS>O3P@gpSJf66bDE4tHEO z*jh;%e&t96>eGnx;?5dYbqC+gx}nvYmLJ4Ca9SEpPHLw7GlXwp0mLDGd`grTC+bhK z<48U4Z=V)v^WgAEeq!X9o)7k!>|HVd$)dF|p4@BkM^3N}6ld!(B@ z1Wp#EWG#c5E>gabI<+6AL59>ZrOp!X0gJg$v)xbdaHaw}K$n=|HP8zp+B~B0fsPw# z5P{stqdlT3kFvAy(+P+eX&H`aRU$bl?)dyLN_EkAgrHLaedfj}I?TWymnO5KcLkn; zxstTbB{8R@Z-Xp&z!j1UE;c_4eG4Fz1K<=b{i{WMn~D zlKHp=eefJII*=i8V{41&Nlq4r@Y%#uqelgK4`6FYSTf#eU26lj^L;^@@cH?PbU}rA zR5K6nx|AyP6YKZiC`?XXzNq7A(Bj3eSxb4O zMU!MX_@jc(R3+Nx@OLo3 zhhAt&=n9Y$cdc1=mO7X!afdO-0XKNuY=LY{%P}4b_i(tQRmtMmK5itP zPRdOM67G`rwZcA7Wf61GR`q3Df1(}gv3x=dJHp1lqc!mi+uF}8cjTyU$qJ*Thz8@1 z1d+-7NcIbDFI+TjCaawCcg&6OYa9aLp@q}=uQ@zdnuvKshQAv+w5H{>OFr-OE!^`- zBFDV6`STv``IG!jKNX%o(=umo>*}DS(sD)X3)xG%oVFYL<#%*g&YLF3)$+I46`K`p zp9rTpQC$~hb8H!zV}%WnxV;kWkv-#Dh~D8~jH+iQ^J959)ONn_N{6e&=Y!B96Pkt` z-cF#Sf)X}$ab%DKxCiF6G3(N(po=bo&QzA0A`}4O3Ww&}9?-qi(G{R6+XHA6PGsck z%tJRr6>HkUX%Mav-f-l&J$PYLoxwiWBmSqlGEe-s9AAN_Ei%CHdOhtT>3(SrZ7PXu z^j(=tkkTPX4^_pd9GvZRKuhozXc(W5}ubf#%G@XdaM4?7c1tIN@P1N)RpVpkvg zP`5Zg?Hx8+BoBCs66Tz4@{jO8?eZtG8jwjG9I49GgvpQrbqcdh7n^IB15tC;|KT4B z8o?S?MN_Yzi^HOVjj;=_r4Uz36?_h8{%;QTIlm&tk-7_AenpkLqH7Q3)ln+#4|pG% zHk`pC)`wr7eo5!n$^qSTX8jvD1(sNA)*bCMYpnZZ90)k!mW;R#eY^&XtY%=L&M0wk zY%T6eX3|rMsS9a^YYOW$nU}_vn8(19KyU(j5iyRit7V`sv zqT5E6h$OQZ1$I>*XkjE%l#ZeZN2|{Ox~;pe|6ifn=#l~ULk*Euye|A${f2% zLnc3ySt4Pn4Chi}o33e}%uljdeS)tZ^&T0b)MNP{ev{i|JRpjgV?k9+@T7!b8l8hz ztgaJwYzb_m;%H3R90>mm{6Vv1yP(t1)xH!fI7NIn0b`Tkyzr*Tfg;GotqY`<`;Bdm1 z-*PDOU;if(FsY)SVN=k8N(~%hk#7|j&jRM#zT?Yh6eU&!tAaLivU^!)IrR&ib%DxH zyA-W=*TY_gFiwJLbu&CT3>WRX%r(xKj?O-pPgFNV6jA|KsH`dYe*Q+hbcK%kd~f~B zWcPt2l{Ty5>=fs+tv7{3Hr%!zoXazPM(RAZk`J`qk`H(g7%6nHxM0xGV!7?G_Q-52*Hy8qv0~NREyyai zG%3ptGz$2uJ@78ZGMN^UWhTrd!{Z zXMf$`4)??WEnP>p^XQdWve$Ku?R0%z;|7je%}*Kj7M>d-Ee2~EOUs;1nR8d;QWVLN zn<}@d!Bb@eW2B=ARMGFJ;?kaJ%~1MfrbGzAKeh_2-cX$xX_pm7Mh@U<4iN;vlQWtTUqLMaI1SeA!gBD;fopR|j0%wAVDEzVS_2EaM1eg*4m*B@a*6m%*% zC@~qXzgUb96gRS@+I)+68(O~M+gs2Kq9bG3;G(XeH6NFD?X~I8oZrJ;faDJx5`Vh)8r#GlT{|ql)703jkQyc5A+a z6%Wdqj>y+D>fH|ajnLzoPGcf9K!hSorR@RFMu@mzo^iGcu+7m-AeA#&W=DPeiGx2N zGw-_^cV8P0o}wwzTL0OPAv+iTW;!`{2x4#BqR_25DA^^PO|A*)?kf3YkI`>^&=SuQWTe;^&aS+DyT<3|dhI^$%Foz8X zH6z7z=)@_+>M3KnO4gm3+1zYip(>xXz>YgnmXT~=WGzo$84mW&^57}zr>U8?Jkph} z^6pzwaDBB@UT+%pa$;(F; zujaHD7tlEL1Ap=U|H{})>`vfBew29g7yIlzjPfEu;@T(-<_XNl<*2gi*$~~QQK1= zVZVoze^GP!LH1oqr57~-TR^10XCH`>_B)VbMQmAf@qy=A{}yr(GG2i~&l_Lz%vWU% z&-gQ_1SM&kCU71+;Cm!vt{PYn_)2}o)g@jpPIqb!h&iL%tJspB|Gcm6Etq6TAK8~Z z1jwq`ey2K!)u%1ryx{)r_6{d_>5veQ1GP3JV%MY+BgpnnOi1?@z(q)hXW{L#9p!b> z?*R|m;=NwC7Aio0QXZSOdF~G7*xYMOMzFow?HPawyCw$+tu8)nIGj;}_w2g{#Tlv? zi8t(HDTdjJ$L_hHOT&SNQ;^zaQ=z-Api0 zy6qSnbPc;J&{;GWYOI=$isz({9pQGR2a9gHJO>0Kl)`SDj(M}l91I9JP_^%l>zvjA zgXJ6mbO&#WCwMg*>r_?>4I!Sd+I#~IV_HAYKYH_~CgrPgMm?w_sr!W28#>Xq-3k`r z9`8C|30C}6XQWq! zNt#CNn2{lx-is3YBShGE<|qELPC&$iln4guUm~swcEd_RWZ~&UaRh~2s@l!5I^P4d zJtDQv^WzA%qaaHHxMn1HOz@*D&YUDnlhC*RxqwH**e^ox?ES;(IYY4}k7Xoxv8{S8 zbihxD8Fn^fYTPP8pKYlFO?9)xBT44_LY!l76j?)wsLRcU^jcDRZ|t}|uqvmav*Zz)5TfJIUf)lS*^(~dX_eM>A%ett^7Axyd-n@BJXlK*uwVf$-r1X&@ z2X`fhy{ho5q}k3KIR3eg`yh$81IMRN(hwiGl8qW4WZC#ZCMDDd{4|OWJlb_kgcW`M zgwAzcCgo2OMfPt#Q5IynJ8HbQ0!C`zz;e})VpMV>RdMp=aB*c@wgC7k#sT(IU6ng~ zSGE;iHI6^&Nt-)6+XAnSszAPZf+2ci!Ey4;D!4c&bPXw+i@A~HJEC?8(^N!oru^MW1{tQ*lx;=GH1wob9OK(@`RNeB)@f< z^?Epo6;c);&IW6ppCC09eRKRA4=@e9mJWDhK$f4%sl`(rrg3M=SI&3rYUuC`0gt?@ zT*Eh=jt)9F5;(&KbY5_n6OGUj@1E?w&W;W6$)~TVh^LpsM7@AG9!gGXxDybLfMl2{>g%G2&4&`|9&U^M%s|$d) z?SWQFS3f}2tPQR78c)@qv%A|Kku2=Yozp>krZuHE{AV`a5(_qf@sYsqHtchQXP{l1 z*XqR*VpW2zOym_{72u+CByZ?oDcL&u<0&UfMFlFjQ6D(<10w0YuGjT#gbl$AjkN^V z{^R<^AhV$%1a=Az7mPa)b^0>5i{n#CvLR32vFJe^BA@FqZ~QRuIlzcJiHordbvF{} z=cd{U>X(rj202pM27(wNk7udN*9R{5dBK*dBS$I}N*L;T8WQSI%`i9}5^yNk7`*i& z>H_v!I37BFNQ1_G76%X}^EsUs)aM;daBu&l)3Ny^2T^TI&TxWzH@rY$fjo}ON#UGy zMf(K5X)j>BTB`&Q^)65rgb< zlv|Q|jH*C#D^6nMC&2?1ZQT>wF!L2$MlYLzvn-;b={&iSsmn6WEOB(^sH3&Q%1CK$d0aq5T=!J|GY1k?e02W+2Pw8Jq^#!bq8 z%rWkX#G$Yg279XGAr4*zr+oovGKA21)JR^R0Tj7$lvYT`G)@_k-bTRV+f600KoDfo z)NmB2F?d%xbaE@FpLsj*R8wCh#$>$G2uEp(_v;?do`~Z)(+N;&%zmtg+pWare0aB8 z;k58DexsFL!TG6iD&!nUDDJRO3{IzITS&@ncjvrfUnMm^w_1u*j$4gkEk{dx#@ygw zp|+=1yV*Lp(J2Xs0uB|i*dpmKEsZgO%PXCfe1e{w4{&Tz+lX$99iMG2Zg>Wbnm5j_ z(|A@`e$$q95E zAQBEWG`n^FgwO}R7O;eQ90XnKgQq~Pwo5ib!75E+!Qt@abSml-3054Luda*Tz=ops z!&+XX7(KWk(R*w2t zVFi*j*OfbjfbO7fotkG3N^SBDT%&;FkR!5mf6%XlcK<~B6Mtae?fR#C((3X9wX*4- z0DN?KhC@=$7CK}=0ZI@R7PUj+_Gt=*eOD+7s~H7&Zyo5u`}z-nuT#SJita#|9T{1Z zYL`9!w(pLr{<~ZCY2QEDd6(}?#2%o|=lGLaeus+1&5CsSuR5r#H%lZS&7D-FNhiJQ znQVWvQtE7n$I|T0-I}YcZ&vx|zp})O*@KTnfWb9n%?Wh#O2UcQr2{qMqW}r<46II< zt0nP-iRnj-xalSS45Sk-_MS;&MCgn-=c5Pgp;;zKFBPQE8AK49%# zzCh~31Sn9Rz?cSJIIlfR+{j!Y!@5TN^yRbAzsTI^MPWMcjhS%Kl~#jf2|B9MUXD2z zfutMEdh>%fZ)nV@F`EMj#8^oG>;}62Rr&+iN}%Jzu1u53!#b{CyVJl{essq8W4TXw7RhGd^()7xJRunf?Bt*N!E`oEDS75;Uwk+9ec*bljSv{y+U4V9wynKb zaEpOn#oOAC*&TSQKJDvR_OKgI`#NQ`;@G{it347{O*+dXGzI@rZ0_svqig4;N5{>K zuf?&Oa7I_pNX(iEYH~o_RmgCvV1Qx0GYOe!$wVUcW{0OMD8rs{)c8^C&d1341U@)b zu^uYem0Di5oSm2?WcuQ{5ExW}80j!tQn;Iy)*o8pL?5&BzxR-Y2#v_n2Wp9JgEoXA z4qZS9*F&TXv))7C6(rKQRKx1*syvaR2RB*)ZFnFuFu{kk;WQadgg#Zpl82-abAPDf zn~{3Z9h=D1x1MLUM|_~aii*Su3KkqU$Vv4;$0iyCJZ-`Lz}CaBBWNV&@LmZQW;>hs z_i@CRd>}UXs@Q2$IDXA{BpvOrH8_0@M>7n?Hn*Q?lX2=BKoCn+wI!j!3vtPKTCU;7 zyUH88$~UC~$c@dPA49u)vb($>HLG?65XkuXG4u}GwatF~h5cN-6m^bO%izDpPku9z z(1-6n2rufoF@Amwov;6T3rqahKc@q9O#Njq~ch_B!`aFjeVd%;;We|`_jyArP{Q+D>E&(#yD`SW`; zKqnoo2^;z6>xS-azJp!!rv)pRgdBV*@pU@@;j85+CnOS~JB*WHwB^WHC6$=2y4P$5P)6rFed@dDQ#~qMk$#eK5-k8>|~v4W5&(bNrFS>jufWu8#0W zQapV5=k|f_`tIq=KR-AU`(XV1?v$Av?&QD+{QS_WGcy=F?tKI?k2GThsvbGmx7+0E z=x~iI!^557sj#dM?f=(*eLUE7i#`?yr3)B8zXx49mS`6?>su%C$I?B){1HSpUcmDF z%I)-@X;i%y=9O-AeBw0bM?4o>9wdjNg3?tD{R2{+?7_%(Q+NQ2`{h@$<(cunb8Turhd=bb@gMTpmS`^dWX+K!P%UpehjW&^0xZ zOiUqp?u=yOL=ORxB&FM7gtMw-ha6fFZPSXm6k}86cpo@({7J`%<96P3`?3bm22#_~ z@SKYRZLUe)E0M}+X8=>r8qKI5$jk-QEQfnQ+iZ)#T_jM0fi5x_|;Qb46V$BM0mj&Wx)(88!geenlQyI?b{@Ueu{sy9Gb3p#MBdG+yF+qo>fV#+}>qZzA z(*NDiNgej&B!%8qMrlOqu5fotZwXRMdL*ME*NQ(mlsrey3>CwKtF3xd8~UMxpInFt^t zgv=fhylZ1nDl8x(yCz23^GMeZW^@D0DF!70q7X0yzWl}C{39e2gk5|?=TS!|fH5Ag zGCw|)d$U%Ec<_*6N>gaC=Vlo=@7Z%nh{+z>n>%jg2O_*&}+K(-+p z-x^3P)2}w0@$5SQZ{C}q3w2A7)9Ik6X)##o3q}$BvHdQ8!n4`|_pi;5mnz+WHsP^) zU{X<{mY@Q2?7qPmJO9!0MsOQ~&8C`+4Eh;#9{Z6Rq2+q7xR`ic11!#Db2A(Y0h&7V z%k6q@T(}hVyKBp7|oZC*mIWhv#=Ig&MzxsWMJ*xI%l+nhk-7wtG zBubDvQRizB#2DoUjKdOcPtp7=R9f&*rK`c{!hv>pu3Z_7CD4#w16(1gC@iYluQJ!+ z&8MFj6Z(1q)MW>l$-eJ$Sr;>*8Smv;c1EQ$1N0VMoU09dmK?>*dO#=@Ufe>tw^OBCaLwOW&eG9o< z7+&Z3>%8h+XD-h1v(HABh()tm%Qz&E>~-ji6MR}Xv^s|BRIocBsSNm7_?VS{-;O>^ zQ`rwymzzuD-htTJ6AvXVoD)24u>!oD)fZ}qF(~>Vph&P&eabB`#4&usnicc;l7?9*-=r`244BzETP&>_|_gbWk={3#D%o#*d4YM?N7Fj7I= z&;yuPE7A(*tBt8zb-BT7_m$VC1EUUN588KF?)SEKCmvzv@33O;m7mW6a=~Y|0@a^D z>J{JbVf%{#$ke1oG_*TaZiqV)Es7_`sAX9EvcU?Zf2rlBbdXwi>ouOQ5Lhx*W$#0lO%f zXH_T`^~b`TS>rvIL)i@PL^T~3m-*Ref{{j|+yO`}_qu(+@ZyG@EiwtWGOoBE!^!Qe zw~5^3een+Y*kp(FXK~`uBR!4C=cG4pN&M=^5!VgA-XH0@?h3*l`2O3WE8`gJ46V$I z^+!KY2!mq2;82YoUUM5HaW7~XyFv^W>*jQpu>A5U#Uzxb&#Pu<3%0Sv;39Ai0-!BW zhu=a>LjxVO7vunhS%5yHvl=M5Pa9R-o(v*DjcHFx@zBz2aI+kJ?t1pmY}d_52Tr^o z3B1f=P?ByCaPg6!Us{9yyg@&<81!US>{Q~^Uqz$Ayip|O1}+L8lfRM%!>Pe23Zf9b z%zTHGkDuA6`d89qH1A`SSnl7x+06$Wo&&7tN_(sVZXcd^&vc>}$A)7~Mt?qq;DQ9# z2>8k#BG{Wl#}}Q6^Ezu+yl43GBZ%P<;adAi%be&1u1PNt*99U-s-e>{D2B;XUIWfk z6o<)P7n&qOVkv~FI(9;*8jkt;tRfcReCCL*O6S#3ohLjk&!pfHg#Zs_i4!4+qiswA zqd|$8C>X)F+Yi9~?bpbpK2c3gsu5B3!B^@4du>%LN88}b$jfGuh|x6+PUa+>YMt#P z25&Vs$ExV_h0!&2coT|M;5TGoe`Ym$iIB=PA|)a&G2wfRj#*T|dVFLO2z`FngT!j{{YDWV1yM)heH@TX8`$>3B{I zN1=2E!g!z_AP#;6W0V+Cg&zPnH02(NoK-A9FK`+W3kG-i&y)u}javNHCGorl_*Sz6 z%oK~fyc*f=$QXsL@~d{8ys1Pmqc!J;0i$Iti29L}D59em1gWc4{_YHtj1DLs7UEg3 zW`pm`3c=)`E8>1kwIY3L_5IL_uCN!4{9WsNAV7uup1)+z_fyZ}oKYr0T1Vll zGn5FBAxLtnJ?RAALw04ssnd|k!VgkT@Uvjo&qj9h8p_p%)=<8wOTb}i>a<8)Mps^r zC&nP17{($_Ms63=^K455Td0tlIjp`q*C&|fB*7a%Gh*M$<`j{`@N#;d)mVyO$^~n2 zN_+S}AbCrqDkX2}=v7mA5_x~7Ay})XInYjef@a&ZHGN&>aCGY>BX`74#J1-LA(GN? zOcC!6q$BAH!CoDJg-JWKEni?Jr|Wm;$OHRSNq~+KGhU*@c$-4L2e_>OO0%x#)sxHG z)J?#F;c@JXAulV`Sp)W61y%6KL}Qge8e9Pse$~KibS&0~i(U$!V>hFCM!<`$J*<8J znT9w~*CP@{x5u2{4M#esH+Xfwck~frQXsB3`F48-Oz{TplSD!xztrnP$*?9eznX^t zqJ*L#QI}JsJ)nJ|ZLjfAiYw*{F>lTUM}xW6o=$hWKHD|R14v(B44p6#j)Rbnwb=_L zq(LZw{@vyh@`*874!<`a{z&q|A4sl8UIyd~MS6ne=<^tlmH0<$beD&2xj5#7?$6t0 zzjNPGnK^o(iyn_>G`t+B;7Y~JD%de$RX}>A@jxb|MMt^8SWi|ojkKhCv^XTjK9##2 zU|MLcP{S(#9t*YQ5Y+mBjAn#r%2xSWtOXno1~%qn2WdiAVLzn6lBb`-E^Wa&Uhc}k zu-7tLctPXG{?+{j7qvdXr!KRnU1)8w z&R`~dZd#O*EoY8?WHufGirt{#r~Dewk)XkDHCM)azIZBqqK<2j_b{Dquw?OGp+8|% zeJQZ{`fKBnn7cQ0!x6_DDs0^1?CVY^Z83=1n9i_`#%^FOc{3m6&O>F3{Y66B*OTi^H|n) zKk$?462wTqzSx=qT~h-w*&VrVj0km`CGh-kQF%0YACUTxh&?O&ENSc+r#V)h6V4Jz zYRtndfSFF;RK=#DdV#Bkg=6CFpI+27lP4qRF$p5TD2C0C-{wFAxjA67Yl?~=YSs%H zZKF^&=omPo%i6LFvph9^CebPkXo=cLU(j9j`=b7_%y)U4llX*eUs%~WnS4a^r5(5m~Lj^r31m?ghU@CdOhV8Eahd_ki?R@BwWy-5fe4ipEx`FXZH4@ z@#C>jaMFlmXuAnM8*$fJ#0%w=zrzN)M&Y90BsJij=>I^FRM!nUy@&`sJ%B+WGy+s? za$y;rV}>Ia+&D1r%42}wUr`Hi2(l);VSjW=>GmY6z2vRV$ieNp`2APAQ*YC=W7LE-=XB7+*}s=HORLMDX`D7R z2>7RH@UzrE=~Efq#%g}}ftkrVGc_3kx^lYaI+A@l(j3`63wYU!JYAW$$f`A#R}bnHm!G z%YrZd*9T-)cI5t)4;4&|5Jk_zeYWI2aSB0gDBhERZ7lXG-$n{f27V1o-H5`fa>;t~1S$Xp%DIMV=D^pAAs-0H*`IVAC8K z6Agj43L6y;>mvh_M*@5@J*UV!`-z3UZc=tp9k^k zQC+#>oz5g9aO@Jv0FPuWDqxL3isJ0zUBNFwkF=yud%G&wjpHoqk*aboto zjc7z1Oci_G0(gbp15SW?Ld+?raM5Uobn(z4hD`BeTV=6j5S}ZZ-rPv4*9qRm+<;n( zoRsyiL&<)^IQE+7Bfk~c0`Jv{b1x&^?Nm!o;yQ0UGL2#!$a{D`fYWRgI~lM1@+UQE zsApP<2j~jtanY|z^Y{oGTbIreTin=5&_JFd8NGc5#mL^09I9E}PkyPjkXWF_rH+t?ShbzpT< z9F{O0_Dv0$F6Y4!ePiBxyrdv45DYs3UfTd=X)_RWXD&8D1mY)sW>#Yi&4}@0i-;Jf zyQ3Rq*Rk2Qe{Pl=jR*CKLoF`6xS3W=w2%Zg=2Uld%HV*5KUP!Qre%*mW8-++NZy}$mz=O~Ma>}bsDVh1IBHs#Z1F3EU ztQYhX`E{G_8Ha}RQ`>#;?am1-s2t^}pgKjRD)#5L#Y3n1cV0Pq2&r;xJvKC#z@_Z3 zu=!IuV;)i}=Rray z)U=yFm{P!l?s=93DlqT{M^McFGzNp@1p1t=NSd)&YA2RRwD4%g#+@;NtWP);XuVYV zB?0b8Xz{{_&6p*Wfgc7ou#{Y_mdY%|mPQ;sAz*9vN6kQY$3;!=ttV^LcP)~*HfQ^U ztwyqy;+ALdY17@V?{S}f-%_y`O=Wl`>c4K*_PKQrw$&r@u=1|t5$;d&60DBU`LcUU z3l{4pv=AW%hl8W6*1l~XaSmN+kFK67KM|{*g>xUzOpL~RE|6VlOWS+jU5@TpE3}jw zK#L5$y)*kuP44UMMi$*{cCn!|fCltYCwi1lU9IV>nz24Xnu^ajx&YUJft4!e@-pe@ z@uHP}pbeZ^B+5PEnqjPU8rKR@pD=mu*hh9V?>SUG=-{C02iCrMhI>BAAQ-mGlc+fE z5Sg0F(nbCv#;bYX8PW~i2^lUK!VCKgzur5M#qjuD&JVwxGyjV%9o3hAiifjC4t+E( zueyF>(IMEDw3a#!7HQPWqK1LfJ8_M~e;2E3WPC3oJViut!NWVM}F#>U155DZJ#(KxPYhf3{9h~266}}_nGEEJv@^6aO%%H}y8{!~2`oFRz zeYi#QN7}#5Iqa$H_EWJ#f<6NX&Ivpk3ig3XN0wvZ`#0?Xt4o36DUR8`)v_HQnzhXd z9FfnUAX$CFdf*J*J})0V!u*@!-8FcBDv`;Bfv2rZ(~NG=wC`w1`GDdIK{6cKO_;7X z8x!SfhkM>iHRbpw<>1~)f$=31HXCf5A$lB4e*FN8R>)q?9W#sL#u$WbWHzP=j1{vI zIF3!xSssw1#dN?-4 z{eP{Bv_Ca+(MgiJNI2)mSVRJ8F8T&mT6}P;QKN)-6)xzw^J*b2EnGpQQb2+#RMHzC z>y;#5gpJ?mWh60|tG200{n#T;4kC^?U2^&_&PQ=kFNR>#7f06V=t?*Ztpd=L*r0C3 z-V_)05@$P90G|&Tk?L4H!)RI+xA;r>5uwww?FlG07J!I`-9?QIh94ThN*9ooOSjWH zSI^>C>#3o?C?_th3z~s9uT1-x#}UJ!dm_6l=d`5PXB$uD7+tzM%_Zd_qnduizh2Sj zxk1X2LM1&ay>Q@kO%0vaUSBrod0KLdG%Do1&t@{tGkjmxvbi<~i{ zSMB4DWqAozyRpcP65PT>VtKrHG3|geAGt70_6qW9RkpR{GPpiW|NAF8U#diXolk|< zV>V^S);$i{U#~5Ehm_r3Mn5KeP^V1kTyb6f{R#!rMFF}QRDmbbm63C!Bz|yKv?a=C zX89-T3*;&*U0-~M#(;l=7Hvp|R&1|fs|sT0sVV!RW!=4um&L+0pn`*JRw^VBDD&`L z4@V`2HK_;Ee*q+`zoqJ1`W9G6=C?8F5LsXakqhlTN|0a}*#T)ez4ql3vh?ZU zh&>x=jMwngNAkcK6}Sr3aml$nKx(&--45sCM}V?NZ7 z8feN36ojX_4vnOy2B`v3Kl&o3&E8Bcp^*OwKhE{(ChrULCQM2s~XGUi3z%;^h ziLX^f&dSbk@yDV*GgwD?oDiD?IDR|8*e^nBTW)p$+0rl9fcfWqKR^`BVf*TFQH)Gg9G5@&khhFcpmo#ciJad;2Xv4hVQtF2NqhZqBJZor($Ydvi+r z$2B+ur-9M{Zu1#3pDj{D<47pr_w#T63YnzSCLNh#7QKl_VuP^~6(&k0K=+3m(`@p^ z%(HN+F)h9~ry1P{?2@H9CFO4X`#r4sAI554ZNRP5uh!p%HH0HYbKY3#0{6R>^T-g?K znL92L3Bo3HLXsPgNJOyS$CC7bgw3*-FG74tGU2J=nx2D{gAn>O5S~YW(>Y5*9SNxU zky!G$MSxv7D{2pLPGA5Hj!%qd{vdK#P+ASu4oSWEGY`cA`!`W{$KfQ*tS29GPI@RA zoUd#C9d*8D1CaS4E}~%vQ;GhRv_3%uqy}APHINUX=FxDCpJgQb;w=vy@0c_2M$3uD zraJQnAo!pBkn_RfE;HSS$9qkp&GEXpYs;4xMx{~+RX-zra#*qEXFb|I#N_GvVPvKDNq1CjjpvibG~TU85Y%d zgQ^xuwU}mOiz-ZWY`^LT>+T0{-XK;|`AtuT6@ZS|%y}ojx5bJRRmoql<#avXoFu7> zJ%w4SU^B}T$7Is)8=UvM0?rC4)_)$=t>fkcg+IR6ip#Dz4`BAtd zUJ5g)f~6MH!Hjgmx-gBBrr`w!?Rfeie zIWUp&yL)3~B#+gfAOeJaNp%vEF$}k+AzmnclE=;Eds%NnpRoBE-C!gCxV7!->nOTX&%q_j&hh+%4FW= zt8#6dZkx@RfSIqUyCm-Sv^&ZtJfxP`4^N0Rr7P;&|MZ*x&i>{fe)~J${yzQsr${uM z!w0P>!5^}z92=E+7_>s7m4Ft+WPS&ST>FGfv)}&iw}0=Ozx?)h?Qi}uQTlJb{d?d3 zo`d{cxec1#C9Q~PrJyy!R2`dV=bJzN_IJMdZ@>M$Z~u#L{?z6_{(%rW+xcqXj8|Qb zT}hORLU8@>QV-}wU0(Gf!b1QlaBk;x%871utgl7#7jnnUf)PMi&-=!}8_In8Z$08QeO`?QDjh3y#{2QFG z4$WzC=0{|9obscz_kbwK$bKYOcaz9n)hoj(1^-!DxsDn6kmjvAL`7IPuc*yY_K&<1W z5&tHn=s*t zW>fW5MFpm)*7bN_vg>LOClZIg_>5hR45Hb)$vJD4W3!`U;AXtTr*~}QUGiD>D1}p zcMW3ewmI^A$QSB&`9j=2_;dM{KPI(LMU0QM+1~0ytxg<{tVD_|PsKIQ3I#3~BJDAO z7Mpn@WzP$FF>9hO|3Za)me{|EHaF#(~Z zL^gK@Ks@C~86R&13)$r5W7#$^By~eM4fd%;;v$cMx)v0q%M;#6ekhUtci%i-)Hjl` zu^xs;bt6-bBe^3l3CpY0A%7XVeW{Eat9&+?d0VgY_Fgqar>k>r4$ae*l zgnruFfu^C9v7?gfHs_FbhHmfo{JM!V|wuxAXcU8fb=PGKr+IOgU{h zJ^;WgT+r=(c|0I;*B}RL6R$xNyh*q-u34S4&%UwENUtvU(sJ*{%Jkm--$eNmems-I8SAPxXOwJD{17aA!kZEUz>6Dy{!h zRO$w45wqO&3frbnlfKgqo^rljQ;Q{lXK&UhajTMM#bzqO;qRKdSOH4o?s?zXRfBXmHC$FpPKQ3{P{qNA zi>8BDnl_;z7uCX7su{VR7qz0BwNf1zvmBcEW|hngZu*GfS&z-Jh$@zg<-}(DAf9wegU(Pzd?a-zz%!q zmZnk@#sMM+yB;rhW(C%bY5F;jtR#?&*mM23Vb@Qi=)wz6jE24kILUz4x}VHSj~-c) zNX~T=&XjBgbB5u_0n^RoA;=sgoRb;MPUj<+zwT#7HR6=JNAtg^ap4=N7-!dWt`aV* zj836EQ&EJNK^~A~S&~H3O*i*m3+No-)YMjJPe>%7+MYY;EvKAKSH9}27YcD&I8q#LH2YYAXKzvX!Ut1o1aT4zd4I{tVr7qf`01kHd~M6<`GE^ZF0gHSv1aMb ztxNNg3h!PvuVL<8R~_wsC}n3Znpt{n^LjiiF&9rvhbJn2)uGm`K&y3LW9A?!Lzo4L zuLpfz_+o9#%)5FV=cP?2Y$6+lo~M}B-cT5fD+^mZl!GkPE5$QwERPcDq93K1+B%_G zT5p1JAsi7s^x$DYkr|@tb)`x0I|HE4g+(m1F<05UChg^$j?og48 z&d3)Z)snuLl0`EinqfaB@d2cIIb!0S8+6ufUheEoiFX8A7|jy!exe+KGP^rTU_U7- zqMFkQB6vshj_`}d0Rhj{3-)0}Xt}}qgrA{Wh^d7b&Ql~=@AeInKQ%`n+%Qx#EaCVk z`WfiE7UP?X+lTVLY75Rl^l`(pgzX>O1K2%dIB>4SL$L$sI=WSDKdz+(r2f>9+JOJn z58u2ItV;NjacGg;<>DmcCK}sE<1?#&p+)2#p#Y<^){v=y>uoDo!g^Tk=py<0=RKhC z6KZby!se7R+?ucYvmLrU5k52>^8E5Y4PZ7NFIpzycHZ)EJRFJGVG6L-xMmY3%fkp&*Poo|YoHWzFb zrQ>JrjLJ{a>>43Vaa+FRc7;(u299Uz_}k~*UHboBQWmwiCY*HK4|`;nJM^TAQE*IxGEBUm~_ zoch?8ROle`d|T=9&4M`>|M?Hzyy2{HQ*tWW(|ChA)GFa35J*XEBDs7$v~)oB)mizn zcC%ui>Q9}0zCz5fjo2M)d~~myY9pwa7!guaX^NaM;e;N+r;b!+&rqthIhLYheQvj3 z{oSFr={Ntg2(e*H&%DTRSov1x~U>MLx7SeJhC z5b0W0#V({{hoyl4u+jlk6Iy1=2Be1BPcP-1!Xfa&mZf_VCW>{b2}cq2600D(EV>$Y zMZShH7Y{c`>f>bqd-BEs;b;SZc{Q7cAAn%^E%HG|4;F_ErRQXIrDACFj?uo15vLQv zNw5G^;cw_D!n@$)nofdNNjod2Z*%s-=p6BlFdW&{BD9{^xrSB(E3hP&09R9-sA=y+ zY#vpQEl&(bo|}ay|6R{Xr)L>{vpdjOlT5%dorS#1C@B?{EAPuVX#Xv1?jV2Rm1d6lc=|&!l97rQruupKS zAKIx2q?o(TrSDH{p2~uDxJ?3oT@1j=F*+&E^l3us>Vi>-f(64ICR@$_Ica8xjY z_3!+en%mV-0SX0Ab1YwV1yE`Su7o5JR{Rjz@94(1yVj-)5pU_pQ3H=WKMwDmh|UZ^ zb39~-w)eb;fW8UCxt+^Fhc@oCgnaB;@Pc zqaCN*bH!Fd2aXQ_LO{L0B3T5sf(O!`?;<}G7C|s&u3}Wk)RcYBPE`h#D58N&xpNE* zL8rA(tVOQJf4JZ|1TYD46NYMr=%#j&K|~%VX5>5`wg)$e?iH#@n8>t)P!uwuX`(Si zYvduXo2E4hh3P}e>(LLFgm`{4;mBArH19;L0>28!UVuJ#vL7-dDV3BP^0EzPEluzlI}Bjl_y)cwP3* z2|k?w+U%VCX~!{aJ^!{PS*hD=CkT^6Mbdy5cpf%UgfmS}Tv!Sj-7pLQLJ)e5cKtR+} zVCw{s+pkxOp^hWu3_f)acwhsQNldqw59N!bU6`;qVfj=maT48Bfb!7;q^c-OX&v0G zl&WAe62g2`LdPQ9$O+fERwWyUA)tMSu?U8QXlCa>dW=eJKMYhNF>CS2>QwsCvrwE668`^+xI*{ z9B^jwqdwfN^O5W+f7f%W+8J=Nlh;I`J~_*;s-!bt#Ux1 znL~PwO_ah*NJ`@NNW_O=?7E4hq_*+e{2ns(&;j`sgtBZR6lg-EdN3A=(KXga(p0=I&=i7O zQ=tcKq6R6M=g?MIv7UZgX?x(jE>wbfdK=UC$_dV(;AXQLH{L>B z40GE&FB{05XU=}025RAU0C&ZD#a4mQX<%NTq=Y$yka#Pcs&g$-4DIerdffGHElUXs z(wv?b&fD{DLm-9J7fuAV33&|>)QCl*3`LwM=3URpak^J*|Q;S+EXXIGRn-8DISW~-w&-d}3 zSkj9}P6q=!?D|^wUGvbHIrMxn6va{OtF|OGrlC&ewLM2)l?GIpo*o&PMSIu_RYj6R zbsbo2Sw3*~Lsd=W;Z=zA5!V-=A39C7!T61{6)2u)vaW3mlFSxw@G? zirnz*!BGxB5@{>0RnzH5AaDB^pdwh@Q{VS)b2BI+N}TKThe0VKo3BwJv5m%@M<7l z8%S+(V_p#EbpgCC1<~pI5Al_uxHY)&vCe7FLw_58SIfbm8m3nUB>n#D!DxaOMEnrH zzUV$?Y0Ch$1xYn}h@ywY9rsT7-4~u37LyhL`m>SN2P|U$l9vD0^&c{SIReS(RLK53 zuh5jPG6ej#I%6q}Zx}dyK57k&)L^!BmkY}qJz^QSWum!h_Rw^{$Vo5OeH}^BRA&#~ zbbPtDS?ini0U2Px8pA;;zUXKt{dzOdomm%vQHGsASuT9jOO;<3uC1OD%Is=DY-2wl zHJ0M{vI*v!w(O#j@S_?DZ!{9TjiQHWInrMIefL2)zd>vSHls_l8{lByZtb?@SR*7h zf>qylry~iu5u5JIKZWJ=00$r>DWEI%%U?9?wbV>OXW`;5Q4IxeUD)w|sfTLlUu`PJ zG)3vJXar@N#^Ix@=b|a!z@sOXYMtly80TCrTEzY*n)#-Ap4t^UdMIZt25%-a=xouYEQNdZOhz4SVlz?I+&DIM=5~u_P z<9l1-tjcCUq%MThTo7OsWfYy&gJEjDuJW?Aq8WvpMtg(I?#cpU-$_u;$-Z}_x|Pf; z2ud4GXnoq3ovIf(n!GpfltzVv*-haP*zZa;*dEx$P-~FKY?8M3%95alSn-lh1(#;0 zd{pF+1?0{K$T<4lH+g0KU%!Sp{2j--H>9yBPaf10m@q71r`gl#!GD`3&kk0^Jrb`X zq361(XwZj_3#)3h1tkR(?G2;ijn8dXU;u^=2h4WcR0rfQ-NE-o2#TN17%z0eQCpmk zM4au9WmgQf!y%Zv{i3E&qk%Yf=jsVKfY)fPfi4IZS3_BG0n&REkfWLtl@u*r>=X$s!}2Hyd1KvW zs%x{K1Hnuw>Gb(V(CDVoH<~d@f)+R;UfBw1 zmMUuG#;8UT_8p%gNFSL$aVnULBKL|8k}j?CIv>e%j3B%|8LQ81M$-ENpodOXng=y@ zEyM6n^+rnKyp-#>L#AmC;WOul(Y>ylW7`y0$jry?SUiz#Kx@Dr(=3dP9g)d%eb9_e z1*DR7g`C1A9PtUK5u~}_A$Z;#v7TY~R9Q<67qE+qoQ8@wgGqmPCOVwP3}8n0Mp;sE zs&d=3$MPyyf=AvW3Q!j_fzqbgR3OZ<22Cin*Xd7jhR&Y$X0fROm`8i|l+#9Hq-NU0 zjAT5Pw0`4{$be)kH_ohZbbJqQ zw9`vFKB9bLFSMe`=ik>=Nbm;sGay^n4YL*src9Vc9^M^h>A!`sVY|&qFkG=S*)u$J z7#1c9Locl^P+&y4sqqx$+3}2@;m?;OUya3Mr^hoQ zdyR0?F((PrNPes_&tsqP7wr=``<7h=)EYthOk8=jW)sGFDvw-#Rr5@HL?$q2SL2bX zI3=Z$f8b;upNM7n)F-r2=mMiVpq8ZfJQVU|4{v~Vv)V8CL*iCiYevaXP3U>mYzu?E z4V|DnAU%5=71QmTXWb)CBgL7Yx(cXBV;%kz8$-KfOFL13EA}KIf{6l{|jThbPq$ShP`=fzO+8cYnX&cgWHu-X{=qlXNyyS<1 z*56So#CQgyIYUO>sl5IKuS#2F&0TYjWTT;&RBPU~r2Fkm?)X6lZ%f2Q%_!KSq;M@c zIBb>N(HexTzbKBVGbY#5LIRpw|JAeV+MAC*QNvOToFvggjIwa}8jO@R(C_oQye@ss{2A zA_`(!k%8xI^Zgm83$ImO^2WaWCt40$ieLZ&u}Q=$=EB(3yHDgOa6>o#mM(nbsCFf7 z)1|;B*WOh@bQI%*B=V7S=~8l2xAg1Pqa?|YN$FC$Vu%Wdv7{x!PqCYXewrbJ(uAGS z7MqSyCQ0al9V1Abc6*pQ7CY3d* zz$S?kx`sBm{Gez*ubMMUSgtC~*zDuQ6p9bW74pnq@V;RTvjl0x-5Y&OW%Ai`gfz6x zG?-C{RPx@9@qh2QAi_Hmy#KkVtK~Y}T2pI&kOh_r=0a-K(U9r<_jS_?lK>ahRUtGK zIBDZc-Ef#BG1A*lm^hpv>L`LT%h&H6;=uPj_Qbf_cHn-u)$Rw8_4LUsX$~AZ;2JQG z<50d~w4VbX|JMoI+q~|Iv-8CY=N27fv~eLm(>BdFa3)-_<5;_L%H}z@5c@;Yp3@>! zjxNi506g4!MK?WlfQ}+WG^8Y9RY;eG{1eE@`rJB0pYLgt5ox4;hj&SVjNHA`8AccS zK7v0Z>~M(hZJTpm(f5W;LFd?Ew>lDHiruc{WE+fA*YpN8K)=GzPl9N7Z9X_OJ)Hg^ zVa!aLBF1)=Tm+lKQO-{EHQ;n2+Vu^r0eRa$vxA7UUFi)WeEiEl_%3-JU^8xTL^juw zI?#e`j%CBZydRJdVKW>G>!~4`4}gM4e0>8=pWTgcpkiQ1w?N1UX%tlJx$NHGB90>f zoeVu3v)60;?$F&^$h1ilxX*_r37v-Eb8SZ9BoMrM5Q)TLckih&F+JTqlJxva?J?nm zVpIVYSqHpc(8b%HZ)J!;8z*G?rYn$r=15n}RXf8P={L*rwYvO1*Bq)G<|DNt{u%8> z-i60)B@UCz99DWGCXzFf;i^uYZmL5RRx26?odl=Cc?RNTOIjr-l$J=&(V8mDcS(WH zc{W|B4BhiQRr6FFBvD=xkd)wvrtGNkd3G(iWbz-^R+?U^Dw)^q)6l<^9RA*sFq%US z*T+MeU8%O-4{UQ=mz4v>5XN(rFakk!mlXh>ErFej-myWF1o_}fB?ePfQC$uP2}(+? zQ%UC=)kBI<*S%6vACzOhCUZpe>|6ir*WSF@l$_e4hYAJAXIfT*+OREKx+v%j2ULib zw$^a>-SDH7jH~B7mNo8xlR$3P&AQFm?}t+m0k%|=Fbdjtn|nJ(oFV{9bIv%Q^#B{n{WAO;;!{Ie$JWtmv&5ivlZae5<8G>*oR-&nVivgRUU zXt!v$EkOJKH`q~c&f zYAnZ;vfv^7loW#_PA2*a&pmf`Wz #JbaX$)yQVcf_32@N(j$+;v6+QaJMgQ5O}P z#%BWvT73xsHUNYUM@|?t*qs2#0lZYVOrm~ybXJ^eh7J;h;>*Y&4Cqt3YDmeTdL#^U z8fF^(5J9n;iwQbarLDl_SsdYkFsGWNbE?bI*QsWX^aepM zFjQX-nL%<^l=~eg56P$S_CN=aF9Xe#g@0zD*1?vf)#b*EDQ%$tdq%@{?w8CplQ zK{5OCA`0|SwT#C7=_6MP-^`>>b^YsuW0sVa>eGUxJDr5oeA7Igx!HtPucjV58ysVK zTNmfoM` zzM~uv0{FW4m`kxpie-+MUgI-Rz+Y3*7}lJbRv;fR=Nj%$k1Z0QboNmt z87vqDmSim|{&Kul{{SJ9ZZq2P`<(7iI!3XukffWM^>R28wzg2_y z^40II=xb8V0se+)dAdzFe~nXr{qur`e^%}Q=S2I|44aqX&}mKg#Hn3%hhtb*%dh?b znOCtOVUc{Q=mS=qiB+3Oo|-4zXPu3ym%h>s`|{P_hlAgq)GdT$HdS8Q2e8~PNo~uj zJlS9W9GPZw&XePCdJp)GBkSzY+BL2FmqSitzDA=oVvVdm>S}F2HJdZAZ7lYVqI2T- zeWy91AW;c=Pr}^X$%>Bb?^))vD~9JrN1Trk5XI76iP+x=}}e z&@@nXiH0wRI`ugqhjh9`lb-eYCuaV>#n_LD_(ovx8<(l;Y^yUs7b{pT+564%RV@VK zT-Fip`{kMaf=`k(75`9qAi_%$ z8NXDzLzt7td=3U8vl7&%H*A{Ld|#Bcazs>i6{qQT47HS|vBK33S%MlXhRzcaYzCMt zBJR<$YUTlHFS)E5Yl(v8nP{xIZjLy_7_TlCaOy=(4{I4IV$VtxT2@6Ua3pBe%c@h~ zJe5xaM)s*@8U+gHI$G46n&EGp)4nN=<-4(?aS&vV?_Q}HaRToapqs(f;mwdJU0zHU zRnrk;-En8bJ9RaptHAdz>(1@(JW|)HC!`Vh{*~&%Xz-Ryi8m(553bam8j{#wgl>!1 z-PmyAd4W_;7L`Y{9*>{$s++b zzpfi<(!ZPS7UIliXa)R0%seZSvn`+)(h(1v#1}(>6BKb~Ir6x{Ra7#QW=<%k;m?q& zZG#x{Dn~H1hWXUd3G7A!@DUO!V(;GCR!E41n63&Y9@=6nyyQ)8H9|jiB27Q@FUgB1 zbtJ??CLU!(yghf7O7{K;V8Fhsb74EapzFsT6FwEqsVbCbL(kx3>^;6|YIdkoTI~9~ z1g52?V`)0Mw{{F!#2rJ@+k%7HTZn>>h0aD1sLn-Bs+piYVleT379^v$I0DfP%&kY% zI$eq+A(Bi`=kF9ulq6v^nU>ZQC!SglZjG%kGZ#t^W9ng5*03_-S&#H3#JzUHj)t)% zHD?@KPu9eGuZ3*Gw8KbT)#M!}oynv#;k`h(bujvfc~cA4lQH%0ExdG(M=I(#%|`YzL4nM@v=GFf_=<>J=5O)nC0m$yE*i9 zH}5f*RaKGzC$MBT?|fr@O4egKLEUjmgY3iF*TW_w9m=ALX@|TNlCuv}dtzTEJxmvk z20_A&>VfTSI$cM~%Iz;0NA+L%83BjIe&p!E?Hjv^J>0TXy_#X&usHGsbYn~VR97A62BbM zIO1+Ao=Ckc=w@V-3}E^?P6HE@=G`D&?;80#d{1)uR{0ZN)3CC~uYotcZQfaI4&OAu zdW>8rOr7SrKwL-`hw9@5q{dHU^(k=XrcV?7DL?m)AEyq7j)zXPmfr^BxA4S8EM2p)7`RV=PA5Y&ejH83opAg# z9zTV-Nq?G*pK^v4{c&o1985H_@#746AJxaHXUtv(48q5TwA6iGor?A-cv({c8ctw% ztX5}j1`}*7qlD*Vmn9;j1Yn+=f}I%g&i(JI+`+h%Y9tEo=}?3Tu&2%Gkko?=Eij0Q zIb%zgTuSFgfT%H|SE|IGu9DF{LkwVfe5HjrOQbkp%^(<7aNftU*p$_+N?FEj{KcC$Z;V8G zBSM-|&G8Ez3LKA4H_p%l^J-IAb{MT3Y}DRx%wXd$+U7)FBJTuQKu zyXOE36!tv(@SGpc1>Tf%Ak&n6&M7$`yc8}{P##ySvaofCpGnJScp5rYt6`JZB=Xx$ zm!F%ubdE5|2;Y7R=cmX)g51(BHqUHXzZju_VQ2!nVG;OpB#j;(nM@(@;l&g=9N2{n zdh7C#!vnA?`~85ZDlQekPbtt+(-EGpH2Vs;luN`Y5juUo2jn{-vswVYj8XRzQKqaG zovwmR6nIF1`F_(3JE+|kqZOp^qV+i_jm7dKjKhdg8CJ|*h!nZhiSnsHR8NJ;T@5e> zl=^$0hntb%4o$m$Ie+;Ny903PS*k%9hE)L=|FmdV`3VPN;q){xGzR|hOx1Qj99pF{K#gD~P$^8u@l&16G1;$0YIUuchv1%Co1#z!ZBti}~5}j~{ zuMc>pztwsSN7vBV4KH+Q9QFg&67_s|SrrG4jpkArN~zqr)O%XY%hit}mYW#NK`n}{MUB%;7~#}K`a9(R?e=so0n;5B-ft|M#It@K?{OwPC+!19 zF62i#P7KHia}kqA@&L(Zbou5$eRMV@@=X-VF}R^7h@~9Qq&{BVJX|$CL@oS5>&iI+ z-jJ?QyX?RG#ozoKOYn2z5i*mM$Hv5XQoXqE2MPUht; zXYmo0gn>*|=Ik4;(p^rs!iIgWm9X!`Z(Y|u)$lEZ{*UKZo$*jbV&M#tVCj89OYTUw z0no_v4W=gxV_dj+lrhL6#f_rNmFz8051(zee_;{?nx`LBh=LylZir~NC4Y2iYX&*0 zl|;NAe&YGN^GGgKmh)@ud2Z?hg7329!AO{{^&Z(OkYxdJ|AvojqN2;MkxtV%;JI5+ zCIuw9J*Jgp=MI!=l{b|d0x$A?NDAXfLT69MVN}2$bm{Q}wC;N%D%p*xNh7#$PYkko zBplhhHlh-Kh!l(Rupol$%L?|3&!^c6;p~m*oRKbdDSd4~*&`8&=h?Vw6p`MCA#Ja0 z-g`QoudJd{_l!1m#A`YAw`nI6U zp0iD`NbdW#SWmJbGV)eL4^%A(&CCoTCz${m^DJk@|3}{2#K^K_X+rN+Rri2PBe8-7 z8%M6Go2j}t%m06#Gy)_xNC=QvAT(?|B0M5I!#zBn|76^_Vu>`XVGAsf=F#2L6sRRy zrD=^2V$s-Wf@ILbge?0?99=L%e&cK-EY0tp6i^vL^7*FDr)m{=&BuKmsNB?F zbJ^XgfJS{8zZQ^LA+2?C``O+$m!6Ho;+FlJzfCv`The+>Hu^>LL-Yji0g7J9|x4zW=pz{uJe~L zpmK%Det))F2fL=)a!iSHEJ_X#qRoZ2U^Z|4l#T^lNI%M@=$)L}-*%1b(amD~ zMZh7es`EV=sZ(}FwX_jnj;jpD<$=XXnzqYXz3@?PY;WXUVX)c_**2tekJV0M&X_*R zMevP$Jh|chjd$EJUz|vRTv>oKG>w|t*Cp;49tkWYhyqgOMsi<$0-k(z)kKMeF?!dt zGO{8RgWd^D7i1!B$l$}vZzJaMscp7pHI65O2;h0$JyJ!76TYTn5ux1UQ;Bc}x&aJ1 z8U?aE_9PvQaI{DOLe=Ilh8;d6I|hQ2A!O4QExHsPop|HZi;yb1eED5$*c%B!6hO?X z=`b2jwz>euvsk@86a}2^sGu{M!qmkqFPP-H`Z@L){#w}b!LzvC_Kx@#mki-T$_4!G zE__oUUR{D;#LSE}KJ1as3gvY%(=W}Ng5ms6`RSA+lzCY2D=q zsurB8>!Je@0arB=fvJA!eC9jGqufn(aypkZGd4w6?l35r?q~Lwf`?>z>Msa5qK;s3 zvFHvXH6=}MYSV^xvU7K!&3FT(s1jg*cE0BIiW>$v11cxK#um4?;)`6Q*%g^DJx7Uk zRwB{^{a{J9Ji^!a;4g(M_z{>8uz0!YCsOWcD@XVp_9ysCKf^~6l2U25s;BSJbgVeg znPbFg)2ra3fCu}1(=kW9%~#ZLZ{xZ7Tx@Oj&Zj-Ou&d!h+Ti6NZl)+8ld2~A9CP4=q?ah~wt3dz# zk)zvfjbr7kN~}#U1qYZLFtb)_(Q4@xyzEH6Fh&C{RT3J}UCy)#aVG2m482cNv3SXi z@^L>#hbgGX77~>IHJyCNeA6((T$qxQpLt3Yptx0}trBN^v=Aof?6{#KF-a`A0(cKn zL<2fxMN6vk9&8~UFDJ$e35sH0on`*MQA8Rk{Ib|N3q7j< zl{jo(3t0o38Jx$8nC;_;i!~8v;8rM;u8k}sAp7Sw9JV>4ZIowxy{Hso`oN$8kqJ1* zBitaNUUVi?kMW&>G3dsp3rUxPL;0WiCYC!X6I=lBr&#~^o6)bGAHVrlsI%2A8ndK9 zeQM6rUviCRW0KI$AhCuZ_G2nmzGeYU4V<^=KfHawFCMX$;2DhJf<}igDBx+^1tFBx zBcy~u7^d%OB(n@2@R>B&#u0(<+21R1LR`F2CqG5LB~e(oaV^`NP*RQIafKgrgYQ?1xSJI0Xs-Ta|JC?1$~+R8;8X zD{#hAjd!~rQIe613z{TG$}8$ei!`$>WX9w1x&{j6`(>Kh7BUkl5D>>ePIyabcB7&? z-$E)p4r`!a!Zi`0K49nNy`AOUDMW(M)K-8|f`44G5REr)rbH=rJKPjE$G7U7lE!o@ z)@5Ej-Yu0T%EnReiT29gm6e({Q=xQvlYUO7&#ryD;}?B2Ws-SF2Nab?t=p0=vqntU zycl1%o{k7IW9R*rjM044=Tdnd3aHOLHaD8tT4CBPdyh`vsszG=P;^v?(C+gu#kt_% z*gNe4IQP_#x)yKtr)*SJ!(1TTb~Ph_5!)_n73%r&Oa|TR&AKGnBD8gpb17Oa#7%zg z-kvJA)}iEDicIB8J(zC^4c^yV(5p+*(byU~=^|wmIaKP*Eu$^#A8J>h@x@`?fEZIQ z$js|f^PM516X1?}{joc@TZZ8NWQU_yy+TnEa451^A{Qo3l;DDu(FhBBLkAM>T9g1B zC1m`n{A)x&7rhn`g+Z1P2i50 zzz@L!lH#?h1ygoU=2lTuWBycN_U>f&N%;|Hojch%SR=jH6)p{j#SEz`0q8k5&8{Q; zyOLnRL0U@ZCNF8_XbMd*jAFTObAZ7_Y=w6$|=rR7053-Cz2 zAoH#N1f10yWjo~x*nm_Un%MH!hM%Ar`nCd#7xo+62rw_P!?`N^#9X=$_Tfw^pfA`A z#sCBDB}Wt(NUb**;RNpEj0H4wPMkhP&MtbPfsMzjE@e1+jzLk7xRjk%i=R3}+kqSI zxoN?~kU2Z|#mQphHYw2g`HInZ!-VoiZk+kf4&;?3fa!xb@)=(C5%N;y+$i9O@dhNG zp|kVumN~-FM;T>JV$xZi{RJF6QS_8JJAaWg)H&G}LxG?5#gPykfEitaXY`#z)$k1( zd*a~K{23)7*Qu`7Vvr*a^zzE&?XTDzjXgH(S~~i;ehPtH0Xv(1|M}Wz>#QW;Uj8tY}-Tn8gZc zV}N|lXrI1Y(GCw;2tnQrbm%%TbT}qlc~D6t8C1?r(DKc^IT*!jQrB^Joe#K^g>qh7 z|M+LB?=>bl0L69)2P<|%g;;QPIYb&;v)y)%ICKpssqB%F!H2HwXvOs~JtYXbT$8{J z^=fZ_Kj3EcGXBj#DaZ}S9?2On7@m<+szU2%E67Awc_W?IKDCXls_Y-{iRow=EJUel zS&Z>=Lzu_#Y_dC#B3Z^Q5y>cGBdFh#AZgrt1*KmTG>QOmHDCj!S-u`>iJyg#8zQ7p zqlh=Uh5fj9KD0vfL;kxs#k4 zY7X!$PkJYh*Y&rG$lfSIl8>Vx{;2npFS~n|(VIHjNp2)IE5$yBZzZ0s59`;zr}jC1 zPZW7-Ne7PLD#`}~6QU(wdG-@qY1 z=Usj%?Ju99WVeoRo!17kR>ZSA_kSWn|5b2MwQtFAO8*q7F*Pn5~d2wqlOZo z{~gydsv_*TtL=LN%d4ho830kBN%DR{xMHzMQ``V+ssx|RgBMP8Ow4)tgjrOv8m(=e^O61FGaMKpll?DdH zqK5u^#FeGJ?OT5Bv}>Poa<5VkZ~!LULgR7rfqZ&aL{d18*n34Sde5KQ3f#lHvX-MWlX*3#CaJj6M-M*!1jN2|@dm9g zUou!8{K0^AU4Fq!1-AEGdH>Zz4@M>RSq;yPLo;HcB4+@2<(^diLZ@PEQrLwr&BgA9 zqrET6`w}9Qy(J5DbQjB2=sD>)_IXRwx+IJ7Edf-8eSSJ!z_y6zGee5Yv_Nq8x|=_~ zs=!KRz14)(O$k(k8?{|2kId`J-I4jjlR6r!tHDoNC!*N?iuxRm0 zajwqB=tkE6>)YR%S0CKd!pv~%8$Hafz52W`B;~;K6vIxOTBBc@N0MSXK0N=?8J+Yz zcI!(?7C0&|f)D7iC!Q(9bi4DCC;E!y1g00A$HG&RJ;#Ig-8fC>vb0lQ%w>BX6>hp7 zX5wZz_vs76Y+j?KE8gS`I63m`A5qaTvbJK?(5#9Ip)NczZG{8-0DAUED|NaTJi+0bpzRc@W%2&}nX@BZ1uj}}c+}Xf^X#~j z&gBX%*Mq0K|CvVP(PEzl$Tz=vmpaBA9Yejw9->EzZ z*%S!Rht6INU%p7^*F~>{z)^)?Pq9E7WBBHRUKl{VxAQeMroPw@>VrqC8%_{WBH#kB zUbicP&7q^FSGb$xDy++VpbGpuzqcT4Q%7V4K8b6X6!EZxMN(-jJ3xpdP8&CxywyHB zVHCi^Vqf$~@&Gz<(<$F-gi&1@Avq(RKS(3mwS&+|9!PTWX5Z)FkhULu_KHF@C2n0J zBY7yv<+Q0~bQu!^seNC;?fJ2!j;6YRU;<$(M%Ba27u-FaoQW@A6mCd>{fIVhnhJd` zg^+y^gf6K?jKQaKB|29up7a7B=u7&Lnj8uio=%^d>46z|L5F%ueh?(C0OINNFtgMs zNT(XjrcUzw5Ee1#NK}q#+@wy*fAWES=P66*`3iNM)O%-IIz3F{#v!l=W-BX=9^iPF^f_Qo3S-q2++GFho^F+ zV-8LP7`6=q>OREMd6X$lR3=|75@1U03e^_RY=6Y{3IdfOP#HX(K}OV=0~wc)>4tl|#hR;|%#8xQ3*iJR_80AxaZz ztVtIK7XQ#=07zxg6!(CRM@6m(kWoHGA1FvW_@oRSA9R zGM1V;JwhgP`gXWFoi%nV%{}OY+-Pa49PTwuF}&zxPR_4b`=;ubBh*lztf{U;4||J7 zfLRi!uA==OZ!a8Ue7c$&T~5k3JOmr2o@v*6qs`z+;vh*3e6)kCm#3ESpYVPP@7Y!P*pwXlQg0Yfv068D7C+%|V zR6VG5RF8$Me@Wv3@Z~Ln*}xEz4?7r!@JGe3J%Fry=6ala4SX5ar129(6kvZvVRgoxeT=Ys}#rM^reRJ9wv42SYYRl^T{h;GaLrzDzc zl{}>ZS2dkJ^wXyR{Y#yfWMfsSQBu_?^NjwbdUO9K$yn70olaE^W6llIH-JtR$9#ny zTKaU40IlnKPD8=fgAlG>;*K=|&OyL6A-!y@UPR;0A0}=vR?mO(GoBNAq-n$gpZX9Z z=0%(kp-K&NvL0!I?!VTL!G|z?3Nt&4p4>DNp&oiCr7m+58st>hDR7^%fcr6^R_G5o zRuJ0PdU<|VqKAp+1*P84$G5vy9PazUx0BWC}#*%^MIQnDCW^vRFLieRIm9;1Pe)3F<|9(=AyJk8fAkPfF+<(nOjDx<@bNRK$i zpH>cayC)-_X*l4ntP#ldn=EpkoL(%GQXNOs_ia|3+v$`zj$^r6U8e zXCg}Y{W3bP{(#juW^x$+lFLBxda&>w8jxDM+Yc44UaOL$K)Pm6Ca3+3m!X!lPXVo1 zgl^>}tS+b)Bm58EkY0+aIo0fcfy3(=95Ev=6dseyygD>JbHzc0_AI>n2JmRhNe9H0 z=y5Yt2VgJYIW(uL!GrCk+(<+wAEIB1T(B0YBEV+Z3@s3N;R$V&wZFi9bCr+$Jg#d6 zfU^QBGKe|`#DyprhFZ|6oO9EzIsBM3GyvEREz}Xl`hn-uM=;&+U1yes7M^^408xRx zdjLYz_d_8SZ@N7$PRr_rZ@6l}{L!wvr{m1YQRia`lE9K(EBE;xF9!@^GZ-ycHM=$k ztBu6_TM^2OL6&yh=g(ANzA9*Jxx~YsG+*!}@9P0EPKbiqP=O3ybIz;NFlt2{)UFC2 zi5#2yga?a{fUw3;poOp=veb%EtRFLw1}U{19V(p6;_tkz;D^OP-iRtGRM+wS>83d! zI|+G4d(NuwG7FE|KBB1LlSwMm0hUF*x~OqK?x05@mF**QBD zH)lkWiBW=5ieqyuF~w3VRi&Vd%Z*)rzrx%-0|5zBn#1(F1eDq%1Lc%T;y-@zttP04VWxr) z0VakCl4TMAA-@AuH;Xham0EBdz>xzxCU{Cx`r#rVAx(kk@2M;APr}~Fslq2*(mcWE zhPHqD5xSQ7t;;fyJ@qAU0joH7=u}4PB%vRmm;f47F|^I8a9k9O{g!@^#*E;2^(2uq zXJ+n@Vu8=W=kSD>3QB7=>q1bEAWr?jGa4$y!JVKTK-_^UX306&|ZM7CS>xI&%jg^T4`SZN>f}%xDF!3tHw?ZH$%PvQZSXN zgD8kCb`=XWBUSSPziWj?8vP~$kNL~RVh$MvG(BR6N|Hc898(uJ1wW>K*ad0x*>dc# z5zec`x*|5feW(`8mwX(|_sL+lHku6AYOzQSM(^;)3gjji1A@BjHBO<$kOTsjn`CB_ z-w?$i@|rkmiYb1hTFU)Y+;+q3hB7ycTX03es-inJv64q{}T3IMBvbcEzmP%h?vcOIX(r3^SjP zLHDte1Pn$kAsl^gncsYL9u`vb#54MywshJ8@DenpQd3qyV)6JGWTWIrc@kqNRSlAB zp>&w>0f&2l%N%<)5cJ?AnKe1qO^&DKmH09U!0eM)ld1dMvC&i25|iTmlV+ILQvQ!` z)t!KH>_*_C0~G^k8dSuWLO9CFx>o>U5o0rX9^2C=S~UUtNHFA(yq)>{KVbf8=r6b_ z1WrWuSlJ@F0uCw;XjKK)jne~PN8P0OJO31FkZ3_lrP!c?e&0v||hHgcVZN@3?V@pD*Io9okSiHEIKLPA+me@gFpZ8H+|VQ)h$s%%Ru{^Au9bYjBbg7 z2~&Py4CQLa7@y)=xS{#1(S&I~H6$@m5+oHsTmtAAyu(RVFOF*(rSVf8CBaINMGY}z z#NT<*wTv9>IW#6$BKY{UJiT|Y4ByrDIF%qhDp>^0UZ}%(d6c!`(250ksT{F_J{-;j zvA4~wuF3hTndvZv6jS^b*pv)Oykz_m_Fe9Zfgog7Zs7 z;;@i0HNubq2*TqeV4P96$8rbOrB>%%(Nu)fMhCVf?JIyG{giaf zcNcjV!vmieg+PVn_$2+_tkcW;-X?Dm^T_W=5$8aRx0nI?$yw)s?F&wH#J1^IWRIO@ z#5~ZC&TRjTZ-_n+ESWUWm0J0}m%1vCr(d3@Jj^TMkk#Ao%oo@+^mReLet4cT2`300 z1)cFa4;Yn9M@UH?+`wG$hI(qc9-X|gA8=efl6eJmi_HMz7YOP`D9&G##N%_gYJ$A! zngfUzIyZ&WkbvZk&*3UZATDNj*Plj_Mg)WCsZ8PcAg-TvwKo7IWGoV$D|9{5biBmO z6^yx9V@u}ah&RXB&k~g>8sEcpCIPoQ=ZAu?n7^@NfxT2Ug8XvVc&H`oJjZ8RvVUxxnTX`uIpA1xcTb{!nf&^PdL>(jENU@R-896*& z2|%JaUJ!G-K6DEyKu82Si95O-i4?QkOsLF~v1*HoWH=C9goZ`3AVfr}f%Aapf)x?n zZ%aD1B{oF>@x5sU^C`tR)2VY$hL8DAYdKK9O`{CoY>Mt{3d^8vLCMHQmZg+INrL;;aK~z7rU>S%pmcpBl}PW4@G~tUbY~)FgTs8QE+FHo zb3Opw>RO5y1;Axi+m(_M^LSDR6s+XP=$KRGFaL+jrv1zR<_Nb`vOtIKkl(14ujOS% z)`U0XiRf%zB{(M2~4li|qVk(E(kSmFiRN_)j4z&54uXVwGi_+NLf$ zuwpfhT@NtordVkAElGirAsZgapyrWkG!V z54^^P@x8<#GOmKWuQdyuM9W8nkpb82$}fd^nUub#V_YTS0Gv}B&Q5Ex>n16FbYF`1 zl&ao|Rrl`77Z}Cjw^LH92HZ&FgcFj7Bb%g;4@Rp2J$w-w9 zU`>HpWDh6kcDknY-jFhlTbPY&YgO)mL*MV!jb!*%emxCce=(o8B|r1lMb9KJuvcnC zpXh7OH*4i{t>ULN5UInl#*3D4pX*D~ul7vhTK{x{=^A4iiUaU<;PB5R5ZDNC>2Ml= z31?U3u5^ZCoAZZq*U5Ojcznjq7Cak9Kl@PK#YL8)xh>C%%(yN$Y^Q)^TJ8*ysBD|A z%3o|SK)sZI@psK+I!-OH*!D2L^3_dVU`=iz-IpBbm5Nl?EKNoHS^vvFuOfDjMSpJE zgHz?;rCEXFf_@b$DxuRk_Bl{lAG$}t-~rSIl*TRm4*@fo_e?ad&je;QTCY01#@gNY z1H9ohQrBt)C$tS6KTHmRkb(8VzVLOek(`0Ge~AOpi=I4yBUh!sJ-EN6XOsVhZ-(E4X5yisP`7%k;63Oe80eJgai>n@FBjIT@?$nu5dk3YPa} zgrPSz!m;^P>$$l&i!XFhfddaWv#98eqHLom=SLJ3NKx6mx8mPHNjxw<=F+TD$!}W} zSkB?h(wzX5wk$Urry6!>qug{^?i*v}+$_sBM|znf;c`91)6eHi_PZ@Nr7b|#tUoI^ zbAQ+E<(cHlc4U<6y;ZI$@phTZa<0pb$8s~XT>q_d8QysXU*f)>6+F(oua%qe$qF{G zU^cI^;CEZDT1UJ&BxbqcZ#uqX(flY5=%8I&+*(MnT1Wx?W)vK~RWO1t;SzkJKQ8Yn z){v91`hlVK=3N}WRpN>nj3jvN$CamsG!%LXqrBwDmuHqiDhj|LyM3`Q<|U@mr#zVE z{+r3>G;XH%%6p?2n_W)2zBui{k$bbyV7^0Sf7OL@`05Tgrod-jj!SgkToL z>~jP%0;^{c(Y}`;(9o2#j2utlOaFjcP2ttt8yxR_BX&H6Hb_&T%5toB^vJ;Tz#>!>GhUjyi&%AZbp60^-ZtBDWt7HRcoj{^;yBC;MR~ z^T-}L`2g>a>l|?4_5*!pF@ArUJE`x+5$!B#km4~Xq;3oF(&C1xMdlq}Hbs8yF&a{k zQUWKX^DM%%VoIj1a{tKOFi9fc!4pDE`&2~sJ+QcwI1H_PO_PCLdd6XE)cR+>Wiq&=YASkDa~dL=9CwUb1S|D79s=aX6Lc;fQ}rfv95uA2s( z_{m;ZWu1RU+F#fn74G;#`3dCMV%M~nJ4wIuXOUegbqku*e7Hr+A{ zM3c0i?Ax57gz~mDzYi^35(*H)_;o;E`!=`NBXhk4t0F%*4DJB1dF;>C z>Z05t1i&9us>N}~{Dm$V>Qqc#y^u9eLT2fLF7Bvj`6(PD=L!SkuA`Q(f z>>3U|<%#RK&Z#fqF1rSDL#YHZdt8{@s+|W_$jv5s=r$7CH$&A79h{x@uk$)af_Mwp z47(k6tBWFY;Ywx;p^RfydxgiSMu{CS^Wd$I!;H12>pHkl4NzYPd*|Ip9yH6ddTir5);Sisu|xpLusT0q$21 zU|PJFfYmNwf80rtI&7EWj$ij=;yMMsV5JMJv)2KzI!SjZnDqsG$@@ELxF1+)xs!k$ zio1NkZQAV=CkE=*e9O1ffS-dVP` z(tPt)u-Iv0z%wMHbJ{0eg7!@G1H(Po4|&m(`jl6Pl5`WDHe({sRaO#Aa&t>Ojy8-Wra%9s9Necs$=LXm@HYAZya{i{pxC?l_WB>LZSsxr}I1Z#XRjOWBX&7)eXE-$}d=LD)s}j=bUIBA(*6RE+5iw9+eNfB8b7O-!np=sm^~3Z6@W^Q4AP1 zw49#wF%T{T&}v7P30y7y*5jBYUv*72^ot}kYsL9C4P!SFTEeH)!^1&F`e_!>N0_md zkn)oLm~krH;vs~DI*jZNBnsew{5^F{=nA|06Cg>RTmbS#9#Vu(2dY_00`d<|5+)pm z;-oPb6k!%NYk0IuIj)14I>+P4m59^CP6tdnJ12z^HF7B}F;YGs4xfC^g zrX%_vlhjMYve-$$^Wp+92wcW+m5Vc^h@LWpqLB6-1zcsgJ|9aaZ+6p^(~y7=6$*H= zQyR>&re>0^ERH37=P9NxdIBh>$DKpnq&6B<+tyC1)b2z#}lPa9CDJ_X%JUK+m|oj)2PzG09-KR1c`GP&cH1qD^Dj0RabdZTM#M@ zpd*Ldco4>18^roDI|>;noGNp^&-=V}yi8i{N<2~;k;=hmb!ZFzSG5ngIC`(kc0H86(0O{c<}AZs{`eOkBXCbfG{Sc54yTjOlu4!qtQJQjw41lfQx>mlG)1JQ4Ns-Pdif%XTzE;%aPfC-XG)Qb9h-oC{ z8>&NosRa!kw%Ot@B_T3I=)elVX%xqOQP#6EZ{;UVd&;jOCF*>4#Cs(jJ8k!N17cgb zU?_t4df0)&>8r(h*_d%+E>!e*iqqaX6m-7R!0n3SM#+EhGm}VsY2JN>HhhYKlW3hZ zqnSbHyv=Mp(Du#<_4&kiynM7jH^9+dt;%AI7l^_rLb}QXZ)j4n#VR$2!GY zl8G!tn^32Dz-fn7Jm9km#eU$?X+3)V_-5l6f#tc7R*BbYbW27`Dq=dx$nH)6>6%32 zsF_ky*LPDo^G6q(NK4U(Jfx)K!VApn;;E$RMV{ESyvv!x7gi1fBVA;4pNcJ8bNFy~bN9b4&JZ z@zTK1u50!*Vb(#CsYv(~5Q@a&%bm(im7;b3s_vc!*URL7lG^G!n-6)*%(JjD zxP`vPYvGqNsJp-mvC%0C#9}ot66|ScPn9YXA+}iM?KqrjA|<*kvL!&jTfI;lRLfkR zG|h(39w*ZbP#{fmj%Q!9$w2^@^c;KdK=|v5ejx1k&eZ zOn#sPS9iDvF7bnnr$MaSYQxIt>mU62A2)Q^k@^P%{aqWzqVIKq5r^|OPOQpv9qn-{L0krshy)MT&9%w%JE&HQaU)#byUhQAw=``EkPSB>twXgfY zIncqer$xxi-czSE*%f{H3G;7;d{a}OB# z`M`*P`~)}7Jy*|xzC0elv3{op(iK3x+%P`*i@3h4*3u?(GCO^-?M_>}=c;ooa#qa> zOQ-@pgjxp2hKk-6d#twKKu@?nNyg%weF-kj3m+t&93NP}STT~)1CKVIdd07(06sN3A9Y}=U_(I>-b^}9Q4?9Y zW8v7CXxfWkfh=~YEsJeEu>SR*{kTW>q85ll+I)LF18zz>533wLGoNgUX!jlOJ3ss` zNcfu8VkTVBAbX^7n1iv+iz*Zb?TSYCo4uTLjtJcr=3VjT2jYeqXX_YkL)*-uITiT7!y^y%&NG3gtrRcv+zQ>Tv%_KMt=^Nin)Rr15k$a7uFGKY`n6>CRY zRbS*c(yMP&YT6MawJ9jixv#g|r*R0anm+1p6(C=XeUt`PJ+#A#R5_b{(2N|q)jEO7 zM5hz&8pq)<(BUT!>bJT#FKYz;N}kY(W2@QIXu=bLCLmA{b8-Dyw8u!LGG~sTQSLrJ zlR!z=A|zIMp_ z=1`6kJa8>4`2Z+yj3@n|MQme#>T}>6-Wzeu5+f%vePV9PwgG%5?Yw2P&xhGW)1PSx z;Z!y#ns7tb>{^LYY*g z(0vM2ssx|KPZ@rIvIc)9Pk^7o3mX~wppNZ2do#2gbjw^owC8c4BZ#&sF?=+flw_n& z?9zciF%E&lkHpgPwOoBvH-3T_MU0S9^?L}v3kMCL@2zDa0irw*#LcNC2k8;~pNIdr zo$5+}KMS51-IV?djQ>LQAMF+AX1qdhT&jvowRWEvq7>ky@HtSQ@po4FlW)FZ3M!aU z(B96Z1i{aE1p?l-STm^X1sEf{Qh_N;r2naHHUoR)kTS9wcq$O)6kPte*hgcA;&oZ5li2Cign&djq_m8^dn zZ;r7R=JyFRAU|a>oOK|KL2_~Vid*U(dhXW`4k(a|tCN(tO2 zdlWuRZC>t_iH}Q6eyt$&dwpSCFFKU=1yo{XrVBZEbivRT#Mcp^Ude4B%PVt$#$X1lTg2}XN1V0NO zS-4KBX@oW%4Ui6Db{XfhVDpvfYy|3-*t%eKm8l;@Py>}7mw@^E{>nDgOO8(uP5P1H%9YksZVoRLNg>bULcQ}&#+ds zPvRm2KmHtxUNGcv#Yh83GwbK}zIkCbIsvDfWoirb^u5ILG_J%(^PHixqUymKi^ZF= zg2z56vH|KbOA5NOUhFz?b-V%*T+}Ldb|uFOF-kOxZz`;~$;on2o5ZP#Qee)-4^*no z{*HNl>aSa#GG6t}Su&nM5-v)}418-CjRm;O1thF3K1)Ss8OVlRHT=+hW;Yt_waV$W zXjd0q@G_U@oEzYus%jgVmG5U!Y`Q!B=7IRDhzHBm?7I_&m$*6=dT=={5sxM&}{3%17&OWBF_QvY;;cQ=3XIzwvUA-e?yIZMw zwyYQP*i~g$6{hsS*$*2yuu0`)4hM^@0JSfwuE^ECxd-TrxRR$g`*}(ry`{4QT6QKm zrelDXIN3R;#hk@ch`E!;w+mXN3Z=8JWYXzAFBpL%4dB3aB|Qf2#fETe<^h9_-PDc2 zk$QH_pUN(2x96OZKvu-Hpyh1K`f?uuB#C#|=2F-X$)nT5+n~3FOO}LZw9XYQW)MuEjMQW&leFs-?Rc17nnK;d%%1NJ7(|}s+XLpK5e~ZH=;O(j4 zX#RbC)xj&(!s4MebrW)Qv57d z^Lv#2KwVCTB{i5d?rtnN4LO!w6`V~4XHJzPl=E~F*HW2Q@r|NC+G4F~SWfq<`N_R$ zMvE08ZDVc1Aj=%)y`kEKu7SJd41K<5w>l1m^!%HB5Y77_yH{>OX4~$emdba+Kg+N-E22TVAgJT(f`X;vgm|R;?)Hp^nWC~yNAumtd@u??MU-IvE!-y z%P;pQ-Z&h-M(mvR&@VAme?wInvV&YT_i z(xeDRC@Ctc?!NV@Kp1H)^(>|+X>mDp8ycAW>=b#&=MyennQ{m>F1XkNm23{j(PIxS zq`j~g%nFaqut_XMnFmhzGw%4CRye7kTfemI+b5(T`KH0JcO3t+uW{dXX!C7P)4d_x z%9O)SZe>CC^MGk-QHd+W|4K-s?x3kTp)*gRoz_0ELmVP*;2}0fL~?*^D||cekj>7q zq~);>$0T`Cq%2)hKC7?GBqI}V)`i)td^5NddMHoqgG@T*sx4mf!?i3@ljR0+fKQG6 z&^{v8gm!C0gaVeJV&^@|D+9;BT8Q1MINDiDWNT&1uaYkOX8GQY4$w1S{ut?HRZ^W= zCJLzqtPxSNvYWwsig|Q5;+{sMi0h@(Y;w#e_v9kGAGX^%KQ6vsNOE>naXi{vHelfD z_hX7mlwTP9XG->;Irf0ZK%~{KyDCa#Pd6wF@K&mN?q= z(1OT9Cccnq0h0@HaXM;i-<%7Jgqhv>Rcc; zT3!X2ZZA|1$)vd-3$@j3a6QH-@eJRVS5}STyL@#kC$;a)Xaw3PN5&DaEu`V>2Aoj> z?y?$anjWpXX?N_Fw4t3hZ@*eV7?1BEMgIj}fj1J#S{8{8-U@6Lj@MZ_jOJ>`jD1Yy z7h!00bTZoICDc;aV%t~7afM>*ksk47>n{Ha& zRY`IHQaQNhwN9t??VXv_IK)ZN2HYH+6Oer2nu9B&O^JCZXFeFbiqEo%@A8W!j+kv% z+*$Z3COqF3!y&XM)eyd#v_p2aeQeG&wDp>w{4iT=1n0!a@4Rp;IZ6Fzvk1Dg2yByxUfu(=+|OZeC7k{J?b&slaES-?5I2gwgagO z@_78;e*4Wgz=4v;VZ*ZnAX?PQPlA?VelQ&MNBf59m#x*%VF1~!kG|Ml9Lx<4!ybQF zYlP{-%i8I1Pujs#Xag{a!dAaaGJVEDr^X#o9+ z#WJ84Raymi(HU4>y0WwO0~8H`pR0gxP-AWxwK0D;T<)xr`uIW{P2K5S>Ypu{EFZ-i z2a||hAsoE&6yUwJn46x17uyEdb2Q;$d?W1p3l4PScP`re0P&dPU)KNrlXn0vA)1LS zOHa-m+&(b}^b%Id{)L?c_~FWrziq>b0+A^Kc+vaXQk1)cB?OSK1;nZRAOWf8AR5$5 zA|(J@9L$O;AFeTkAi&cCNZyrz5Ko2rw*3lk2|2T|6_Pywpp=uj5$ERhC~gZkt3PF@ z-#MfvB2A?$Btk9`zImTX3F=6XX_ExWQEbneWFhjU$1G;FV0`S?Q|s^ZdNe z(1Kqd`fHdge_p=7%>N&Lqd2c|2E;VPDj-0n zLXhBJ4N*%Pwmg5KgiYy*~LjULR zpGfGWyvRD2^{OfmKNYl-`0uy)|5z;Yq{59gT@`+>YvQ-p^-AS7J2iS8qk^wO{^=V( z-K$R|jd$lKDYJ4?DkP|BkQJH%zbYu01$j6&KkLpc`Q2rKVTw!S=7 zPImwQ{KyiR2jz`*rb$KPewMjnPEq0OVCo={T;R#7+sYgHo&mk}Q$Xq>*w@N{iQ;GQFj6_RF#Mc}+&wZkn_B-+adU0`0-|Xvs{bk2LXA zZv1aifSN$o1T%r^PL(#2=W1s2>;o%x-|rB~`@mZ=>238R_vhG4Mn`$v7M{KqDH3Hj zTb}c@Qi?B~IvYZ)K%W=qw8lb~?Hj8rQX9+ki97oVPvOA7y8=A{v0!9Q1=tZ8D@{HT z{EcY^y0f3M0>emNKHz9eHa2dwjvP`SI&`c8-OURfItTDbf+H44_Vh&zc;Q$%VyasH zYot-*ymR`?2~oqq;j7P66e1q^VXyTLkYw}eZ|lUjxTW)zf2~7)Xmc7FYR_qZZh>1& z9XnxmfMz4MnIE2xvMIT5CRc>s;K?u$n2;mV6&Xu>>z7GDbv7u+abCrFUQCH;L@vJE0OZ`rwe~0p@858|b z1G`eH*hPT6EJNx&UPd2ph6hfIK=$~tnbvo*8}$^ADTT14QUWIL zW)(s?Si~1YB@S`ZJ?QIc(gGTL(F388EK$i~JSN-`8K|_WO3UwdH`1ye z5RyQZHbsQst?r5^!2;Mzi8BVixau!~n31FsIBo%s5qyWP>|NfL)6xIH%&5J=YEB_8vJ_RTW1@iN(5ahO7R57bqNz6`yg{EOY>izuki zu7hxmKnvKFz$C#P=`wd<7%Vq)M~-6kDXJT_A9a7R9bLm-6STmduc7fq#sht`^5G~% z3`XCBf6EhhIeFjDQ+5>lc^kD<)wY= z4e(-VbD)QPW~6$+z_gy|%xJdTl5Z?H;uKlQSmq$cLyfI_Lf0pItQ$IgL_vvI_l(^^ zXZ7BRQXlAyX-a!kNXw@zhBrda?->SC;6l0E?j4p{kK8civ2fm;jfr%vlp z>0t_hTG~R~XiWNF{FGL+W>(|(eO}cYXVd0q1iW{>!%+e7&{n?z)%>VFxAnyg_5=3L zBgG21zVh-D(jgDe1P?vrVA9YmU})FTw>=Emo53MtF~}%MM2D_NCTN}a6)3jY3y~6~ z*rq|=86j0j)@clIS3ner=OasEVHh#S(oYbv8Oe16qfAaoeE2m0VE{>Dy{Bu(P;@Ar zHX&(FK*nb|iPH{vI^x=7kVCsogmP#^BLKnCWZUw6^+-i6#rd??IUyq9X`77z@VaXn zK$xhevEK!?2NjQ~UV_=y_Iq~2)YKiSrzkNUSrNk{P$LpJxYI~0A8>ZA3%N`r^reC+ zX;<)NUs1gpBM}!(hZ+tn1kq7%fM~93PE*}Nyw1|Z#X$u=RCuW)kpc;&B;Zp&|&4i&o$C`VN(mwG4#0ykMQ~QQKQ9~|02e&LvX!f5 zfMLZn1;bF)AX7C+=f0?X*MhD1y3K(*FE*Q(nqIrT1#S|E@kJ$)7NV>YcVyazzby}~ zH+J&W%w>6_v!5z3yXxb_$8?WXd7dsWRQ|4KJB7BGWH+Y~JUoG++we;xi(jO;9@NyM zeq_K>D)8T9P#RJwc{=lZ9MEdI{sN^zDW?*|=EAf&mL1wsuu}v=vbq(P2mmX*rB!`vMdzItQ82LH~px7RkF(Xt{8A!n;9kZ{Uj64kr?! zU$)o$zBAT<6sUrGf{&HdawGNd_;Z_`p$@dKesP`!w|!P&I;p9w7~xXzAt`pn5g06c z%GvOKNcL^9rR@qZ$S6*_eO_ov=d9%bNxfSPAnCaq z)@W!_S2V*1)Z_?gyMxpj`!((ME-lTPOsNaVK#q7ALtCkE2FMX2nBvRL;W4@mM@-5` zcDV)u%IeY{3zEYibQ*qXZ0r`mCUgor0V!iRyAeg+ez_ds7{3O}#Q}NAUT2q;13dC> zRiFca3%3PVD>&Tiq6duEfjYaW4$rUu0Dyi9dF=Hc;ne{iJkvy(BxKxx!0BFpjUl5h ze*N#B8_d!Y0agt^hUQZndTszu7h3X{0qir)p>1e@%gqSF|T(^)L{RE%hCxl@Z{oxP(Dp(BEHi1q8AJ}CrqjEhXw#s#yy8OT{_G%|J&bw z^G$IoJA~N__5zu@z+(V%@)iDqBGWd(7F1?iq2})L%LMZZ7ytw^f>njt>HQ}%Z*>m; zUXFB@!wbe7!JQnMpAyA2FN!UB3B%sn#HLj+*s80`eR%2gZ*r~mTp*)0Xbrd zn<7cS>d3%Ev<&2>WOvrpikZH&Vjz_f@(bGVan>E#)ty}sO=0WHy5b!l9{78K*5=3V zV!f{rCk2y7G*xR`HQY(85^b8=s05zEx3EEgX0M9ZaTqp-g`aIU2WJg|&mirDE%lH5 zZgaFdW4(~7RtuNWwxU+R3G5(W!~Sd5rMl>v#ED7PnI#C|HKm686iXet3eLMVqwY^J z47$!RRs}LraS4g@6tIO?SAqev)ikZ3HmKjHvQogAY=uD*i;R_h`FiZ3H!BaHA=r?e zmOaiPegzpSxRW#1&g|Rw2?uDb1bt0{wr$z1$b#eZd7L)m*U(F*d0LknHgVR?QD2hb z%3yX6p=>y_T!k?|b`z;)U+t!zp|msu0DpBN!^8SFXmb;07+{+-2q1cgRh;qSPodh8 zzTyYCIFSW@Xvk2I+Bs+FTSwZJEj$M}8Sb1&Lj#T|98a6=mii9*VV~ogMYdo#k;1dq zg6jfEMcHnpJ-T2EYdcgGJoXLY5x)_V1~p>M0JAawerQSuz$6g&9C2H`)dHJ=D(L{QKC^?LXiR(# zRQZZjb2=nx+(~Qb^Qxh7u+)jIcm zvUZHpPrCVS8Jz|H#Aqd3Gm|}3t&cv85v8zr(NFWD7bE< zf5?=qoMrh6BAla>LCvCS;{${Obg}UGeko-a-VYLRWABIhM6#(H3r)x3&8z5*&+!41 zoGGd4lILaOb1?;+ZMhDL?M9)l;GUd>H0z$u{B?zGpCQUy1`E2`(0PqalADlLCwdLi zfWLNq*0U%+4e#|^DEt~8yNx7c<-9wLBk!nTAkV)He}U_IB@wh2*A@J#JjIuivD-#$ zWh{>t0?-9G8lPYn#NC&=`{L;-te6x7o*O+1bg=bHy5nPZ*Q^ETVx9bBVn z!O2U)qP22^ss&|?pEH1rcugxqzkIWf{_g(ATZhP^1Y6lh0BM{kJnzYC0R z6CW7y8Op5mTZMfK*s^nhFdnBn;#L7&#&?0wMSBo`O#9)md$bTo+tE2Rw9JJ@I~!Dt zM<+@^vzG#4&-45zhWmSREqG{O>|@zBX3ET0DcuOTc^Rd*x~9!9x&2($ufIALUnqH9 ze3s<2s!~pb37w=v+Jb&^+R#&JQC%;F)C%`J zq`oM_o>Jp7mQx2l2*`CMK3VQhRNs-JLPkCJo$5kTihNNxi>mxWM=|_~+ZuZvX%@SK zQ#+rOZVx*6&OVZLC7N60u}E0@Iv5JF_nHmf&Zok?Z_Q@}1;G)v-~1Lsds z9YDNmb~h^zxxHZ@#r5`X4<5jo#o!QQDyFwuL zSJr?2H^2FYz0V#<11{(cx;#4DvZ`%{S+s|a)Q=LI4IRFsJ&Y#405Og?0HQ`%UKYiG z>FD>5PQFE8RMU*~ud4w&au3r%h^j&Es2&I!`z3$g!0S_ zprLONF*6i&UNJ0ccP%a=aVf;1`KWL|RQddmy4*no8Cm(4=2`-cR>-5p_n6{B;S}@- zs?i|4>81GMJm=74aRqt2mXXkig*;+C0&?-HH~zxCxf)*olIngh==d$Ji(hC7JvZI!uWV^m1B~IT%(Ny$UX!$8aJ1J8?`16p zWKFGtl(&n|?1#udZtxaaV-QklNUhBMr{1W^ce(UnZyGbs&DB!ja@ z)LPd&1sH&6roY*vDJ_vmmI%(!nwQftU$dcq^Rs&kXWqJ$Mn2+^UllvGsOh%>!S62& zhe&NL>QnIrF?UmMLvZPw;V;0TxfeT!?;IqOI1rRkrW9YRwj;;FJ}2E5vA z0X*IUCblbIe|=;mi;}Fr>(UJ&G)1CRuj4c9dpr(-UIo)_-vG9}9iHz@+eMeqz8mwt z%VeYodBxyzOkP*+j;LM^f8J&VV%oQ=MXNdH)hzdKjr1>d>aM`aK-&u@AT9=hF#sdq zsRvT?z;0AwM$2(Az$+uCHHbfurKAaVDmJ9a z!88j*Z0bdW^T+gm&}!qHjiqR|0~X)|1kgi&Bc__G>*gZOxqU) zAB$_;n%Y%CX8!G#Eu_$-jUzqWprFBMi$6S;Q=J!3@X%XD2l&EV$!tiIzLrK4HjZTp z;B0;U)v2MrUi`JCa}F1XK+q^w`OT@H(OiysF0a||g4A5Z$RaWlGnuNh2IBdR8MCMn zP3L%=&fALP#A&`De6?7&qy^BV#sxA&((WuDHt*;-+6`mg4OeFz2l5j@8ck&nZMiD0 zv(Rctcr{2VomOc`L2i5XA&vK@0L*Wjf1#H01pD0Byzn=#KahTF%uWC*CA=#5&_xW< zmUV3mUB04|sd;Nr0URyi$&LHj98B8in40kq5mDYyx6^t;$J9CP(bwH_J$4MC{*dtW zzBGgVp)I(Ph^t-vZGT7Wk@ge-CblK(1_jicbsK?Rb%KVR*;}P*|??} zmm!wrl}^Y|?hgsiRT#YahC80tS_M@gzx|;+?W<{fC6K0UGHO6TUo4NHjf6Xkog)Aj zPlLQNxf5wXUw>HL>qDBi3C~;F8mTb(d2=!>YC-cd;dv=%j{fIr&^bP0XpI z5#n1GySWkqjpEj@(VR_r&O)kqBZ-Fuu*rdQg^Dsdky4&VXU^rmvlI>Iw3O#9aKUVi zD^8ngy(-Ck=b2RvFC?mjDuDMmGCg1aY=2TJ%@k*UJ^jPfOBA0Z3a9Hg$&?s8~q=%)7R^^fdlXs$<)E`k=6 zaV6oknzLsakmpF_=mfl&)-w1q1NCN8+nd4OzW!NTz5WrduE<<=qJ(LmLx+|JjZ|(w zzy8^=>{Q|xye_`}A)XkS+YRo4%=#KRd?SQ6Um9hyXDR)2zC*kuKL>(oICexLZAlf^ zZTI>|pgAR5mjop~Qz64u2Jtlq8s0DVCwn*auYcscy#66B@|qe?k*Hq^-|+&D)ik9# z652B=VA=Qf{+TM+0|zj1=y0(zgqL)T;~o zwJ_t4s>OI+r9IaAJ2XmkLXt(_6^y9}5D)bpO-3K1dXVDV!LtH02VJr4>C7%H_5>&q z*%-SA`&53WZm=JUogKI??XHgqYk=0`@Z}rL`rzsFn8|-TQ*bjAxLzVZO;w_BOca`l zz5{B0a>M?`4M&g{o@hFQQr z+Ffa{KfL~`&&%F^p%rRBoSN7FsxC;!W6P?9zD-Rb1%!!A3M44%$9s~&R6trv!LJ!0 zrEI7(?j;V{J_h@{u$o{I-borc8#0ENY!QT%U>#(zr<;jm2dWG%p$q%N>mQRslYbE9 zry#Y#{y=U0K$WDeWcT5ojKukV_>jKkY)hf=^9VNY!FXPTVm7s#y086X_?M>N{=FH4vM*#Hb z+fiKE=Jh>Mw8-HFoHJgDbpQCry)2%y2I0^L>O$2aLoZ!$#?1h&@OwFZG?>9CUw_pc zM=evzl`l%Uudd4N{R#xmGqnq%WYF~AU$#2HuJ9SITd z-AtZCy?H9gB&NAPyiiFFtr$G^u~Bd@o6oJsuEpa}3}q#o2l%RJaLe{?H~6yM6vr*U zb*jEt?@K^rj_)5F+ka0&=rC=3GvKfuS}Az?^Io>dF;@Xo1GnG{RV%^n8#1Yz!`=L` zv;H7XS2d|Tv`0C-&C<5CZ_amfB@XS^{Q#e@;+T^bLUR^31Z{zv;k(&*vH;R*Q2Xq0 zSLavBW8eDcZu_t(Ull}nA;d(-W;s)|mgSo?T@ibl$LTGP1qA%a)ANym*eA~l0d4Rj zH_YIHGCBJATHJvaI=}Pu7XfI7IL4z0o$CjE;pqsY)Q4}nAurSNR6OPAok4XIuXcyu z^=Fbubx2%4q=QJ)f5mUK@+_@P7J`J!C-nR%p+iawVyZ9kCY`m2 zrU|W17=n5cq)9Im*VoOyKHEVga<;|s%uXonL4kXCY2bzuU#i4-W9ypyzz!U2O>ol~ z_#;?Uhnwrb&7aAYCP8Dn7Op00?1R+sMG6^kB#7N4!WlOCkA-8aW==0>ao!31MP(w9 z6Zx)(Lu>-?cyq`Y&>~E3$Vwo~V=AUmR(ijK#AhcMzxib2cCJ7ypm<`go2u*zB|LS) zB#A=n|NP0#y@1)yeu-PR%lP;_0oZ388$ib+W(zzmhKl*ns1}hdRN5)DX-KnJK%CnA zRBjOCUY~Gaa)z_bkt$(8d%>82rUVnRl{m;+I+#!!N*c4b6u9@Mq?wM~gqQFJw-=ox zuWXJ?i6wlL7W9~hcJ*8W1I{hmE;?B93VCFz z2|zS_8M`cEv>*?QL&u(WY$$iQy`>qo&ik>FJa#k`)DR`{Mo;O|U1>Z`bV*AG{Pjqf zlfnxylU3sEX2;G(ff>bscoQpc%z--={oWml58jzhSWnEq5$7rqJE*^e^WJ4W!GUk-L8AFF z6<66=!0awFVIXz^>Iqz!+mb_z&9bw3(b?N20}w%#oX$)3Rmo;a%&M{|+bk?uG~2u8 zR!JGCk6l*v{0ZE7$*I9;Gi$iNC|sCy-di9XQ8BCh`G7K;2_;!IZHZ90{4C+w=HD1U z^Y1r0RiL(H{)Y3C6xdIC-Ll~8Eer0nOz_eW%)g;2-InWK;_ra))fNDvMQR|FBJ8YZ zjF0}}Y)M1!ZTgHsP@&Nx47sq}?8&pUoE9&hXvkoaD+eZ-*z14zQ}7N9D|llZnLL;V z^VBvppn?Irl%$wVKH6tM?jP-9`b7bk&gBIT>8rTlUrTgzOH0xxiJqUsjH4M(>s%j( zA8l0%crGq_Qqs<7ckT51_$BT|>t>CBtM$#gzoVo&ujKAPz^loUYsX)w?`9=&oKA6k z0a*j?PxDGQ&3<4Gj!$AbJ)(S{%3qDc(5xB~H+dvZzu~L*6@uMe$z!P8mJafc?~@p? zxlsQa-(ATim9~OEWnuf3oQN_^R(m5wMSV$_P?w zH~uSMT-A;jBRdKMwB7pSZ-rO}jHkPu;5YlYO|@wy;4&BgS~)x~=K|FZWsv9fI0nb4~$n{EXo7yyDvK=A6FBj0;o{Qo=# z3>t|65)6=fz-(tmWMfDog_FnrZcI>^@UTb}y(#kmA zGWcORWeI_A@TfliW?yb*c#?tCZdx)`C6?MbopZ$w2PM8PZ7N8tyYzs8)OTDya$5C9 zT^9GX@S6U%u{UdN{BUhr0OeWfZ#etFLiptrjJYZw3M52pYk(_l$WB#A_Z9PQ>iMap zaZ6l3oq(j0enLi0fxpn!(Csv2pEpgEYSpTAZfs!6H#WA-18K5w;0e8FL`SOTSIuC+yPlLpqEsUIMZF(c znm>eW^urTyX2g0rfs0P~)Ctlb|6L{@2hcoUJahu{L}yWMoIuY(KAD?P30Zgz_IaAT zFm!-xgqG+LBu+xl@09`GmSBX}pr@CjG!r3mZ)q;6V=E)>kD zoCg$QphYF@@EQyLbAOpM{I<+BBiMw}Nh|2{fi?xkRjAallVq(=aj#aA$zlQJF5d$6 z8E1(g{bBD#Z2FE~T{!i^@QxG>cHua|XQBI9nBDn+sRmg9oh&;J&VROU7=ZSS>i&}L ze&z>vehRx<(Ac4l<2@jSt-0^^=O@*py9{X9x_0E=#UX4YCJ0&;!eTtY#aQ6Vt$HfJ zzXLaAszrF8g~^?p!E};5ZhCEnSK#^j0ud?o{mYjTS1-NeI z;kQHAH6Lm}NU=yq0p1;Muo6eT0ViKiwI2@Z+O*-JPt|B0z|F%b_B$Fk;OVYc4ep}E z@l4g|Gm;g;YXw%J`=aDPOX!+cR;llp2OVRgk^uMUfL3C{Cz|#8=>qlc=t%Liv0muj z0c9=Fh#t8*gZAnJGkh1PPB4k^?ji;$Tkk*%CZ~fVU>sLw3b8om4M{)qvb!{9o?3dl z4(k&Qn5XJJ&3ktYdS=$RhYm2#pDdD2t#{oslO5e5B^OACPIp8?-e!Yab(%AzlRnNEs|IM**SqW80oo1}Zn(JG)bf6F@J41HRit^Y5X1YSg-x%14B$O8YA+Nb3~gP^*vYQ6944%8B+drO8C9Y7;LDb` z;#8bf-G69dXHY+(uuO9Yj1!)8~$Ue*v`!TN`c$!F6ZNX=u*@K=o95NQ-yrxfQ zC88ey5A&gRGsb^h)P^&#HZ()eo_Dkx0D_R#%v96WThR)%*Y7!Nu#eCxHBY%9HIr}r z?#r%(CZI3Na#K(eDSd4`Hchi zo|K=S2xCekob`xciL(>>PYP!om&0P@dM>@y#=oP zWp%O5Cm{*1R8tD5~Gcdr^dfBrky&0G_1yeyhv&w%cPgtqBo9u zN8bS;ZG+ntEemu;7oz^kFTkSZ3{!2`&XYN5(_EdeKsg=B^sv`WUf@unZOgzog_2_r zHdU~WzOwJj7C_*Yy-}-@bGDhv5u|*;sX{CeVp7>V&zv^C7ed7kCYiDGVIgKj{v;-b zrW;OTl9!9|<4H^c?I@bWr0fT2KFJYr#Y0?-_}iBwp85E*Nh(La#FNy_d9f5fn8ai_ zVUke{efY}LZ+z>?D3$C(AF$G+RPV!57jrWC>%B>+hhsFGg!*5^#0 z24_6O{V?>f69p_R%lHQg8@FnDtQ`C>eer5aM&X-6o78K@#=_mapqv>*<6VgeWYc3n zJOa6xn}U6SWY5-Ebm5N=CLdOwix`XFvK#uHPMD$e~l!uAA|44xiwT$1ewZP7dGH0#OMUbV8Y6 zc?>r1iGho#^``H^p9v~G62cbeo1rf0VHx1+Z;z;RG@5|Srgo@nzAa|7d_YUq_I{{N zWWbd4YBfD4eRI6q$lE=y7XbA?LMX;&1281b-p!1iOhYP_saLjK$%y4qw3mVy&)>V` z3MFl2MT@3EoE|_zv@|wNLDSh?(7MhgMs)CHp{D(<)CxEsK%b$fIkAXp`rw@c1n|6e zjA7B?K}+?Fg~p+v+V{Gp-3Bb2IS=rNG-=RH&}!HlR#RD_3yF-*?=y+AAn1bl6nx<7 zE!e-1GtDW_WU>`6d3ebv8GI&S2#~qkVO17qK(N6@U9Lsg8g8ER$i;9mZSg2f5ci`c z^Xrn6Sp)(oZs?{(F^K@)GT*4?X!8x+)4foxw(>%**pbR;BjbYr4)3;Ht*%S-gn>Yl zVRt)Fs$)=Pzip&DP`m+kgk;p2jA)Vp6jz6%@vwY$fRXJvlRz*MaqTUl1gQ@%=EW?{ zgz<%75I8$#klEth?DnABSi%3&JA7;0(CRA4l5cEWh&)}a;Uq7FVIH_6z4eI+IF49V z^+Quu<1$+*YOdfgmWlN5iFg1cy-@a@kWINSF^ z58v2l{2cosR+?JT+Z0d*bH#`7JcqGfb4^8x2o9Y|%?TW(-V+Sx{MZL~>H~-loiq^h zgq9xsUPD{Fm723}7qyrU#1HhH=BlKHu-@U2aJnP)1s8(z=fd}EvqAyXW3wLuGMovO zF_Gr|-{i;TM#K-FhDLjbH@%OzY6T&Qej(Y5?(BvZppsR2Xw3L$jOdH%fP{7uPm@?9 zow?I+jYD`A4Ap41RE+oyY_Y1me^OvQ#U=jxuDkst`;_Z;r>xiuANdWC{ITN%mMT|=jcVkW< zdk^V<^$w|t&i25`DU6T1n@NKjN(F2kH{Xp<#Ls4{Az}YY%1>lGdFb802lS-gH3X@W zw%C3matDs_Ck2`1>-oYoeY&=3_|a^xGLX?Y^zce}@bBpe+c!BK z)PPf(uMF8WUxN_60z>^$pa;-|Zf9>gT$hu&n7L+;6zY18zcI0n_8VT#;{nCFKNaSM zUcJaXgaDxDSa5HO&4y;a#RW?~VDqq#0-pMTCkl*F?iX&+;l5_hD#4t0?p3v%`WYX+ z7mrIJU?|i`97FV)tM#tOodQVI_&t%Ns>Pl#ApHdD39d|O8z{Fm<8@ke#)A1pTT&|~ ztATcL5NIm1(z!$I!-7iAKqy&aMiPNxCk)0XEZb|>A7@$weIr`ru`R)!olQ%KUNpSM zk+3bVcXR~9|3W&K+J9(1vvBs96Vmlk@u>7dyW?~S#Td0cI{faLD&gWlT}Tm!39dw; zLoxA1y`njm1w+;e=keI9!f2z5=d=*TXK9#m_yV>`@whU2F974NY7EP=(^C(b1vz$B zP&4zxkc_7yak~2IRMTK2&kN*q;ZnT)L@)Snh4!?JmZ>4 zLTS2#31#2-@v}`KfO6Ir;sy#3I{@yHRaRjzW(!|8w7eBQNticnGkCcw6XrX9NS9-2 zb_J_=fZk!d&=)jNxE%HEn>W9NKiR3f9ESlp>yGDmf*AJBs7QX z$1n2o!Cr5;AjnWssB#|eh+{T$eu-W>%%nO44w8RXWDl6LkY^QC zux}LL0RrYSW44M&yyy@cuw-zIa?$3#q!lnPn}T&Q0B2o@c*Th3cb$`FU(+$SDYzs! zG1yBCvrdYpj%y`+rvcP;gs9F62AVoC40TUkD@DdQ2hsw~N0Mx3HH3!Hhl(Uqf&8@= z$Wn@{&^+&k0@Ok{>{G6Q7zvb)m`WAKJ`$OjU5#g1Jgg{`LOH-(fX6Yg*e7c`BWcid zIu4J&ujbV}38H{0$1TtxsDnI-_ndW1dS8B}9U4N!k(sc~w?(fu2p!hVae1N2^?c3I z7%<}{Gv<!XEN@ zS)Yr?h^vS}Sqo=Z<_rk*0o(}Q_JPYwEVQgIkG0bXbgy0j3z*E?HQbKMR(QLqg zmCuDcypw2Uy!Pu|(^MQU3DW^cQaeQV3G}bpGQ?}_-GL?(KY(W(XY_-!J^TnXPm>JJ z0&c1^)18&Q-R(NsiI1#3rcLmyjFTG zhr>~B{Drf@R%?W_$V2?Yp5PL~E5m*j7V~-Yaivcx7$~CF&!n3rm0kLTQ zUE5yf;)<~VR2ZYN*?c`%biFkyK=l3UO;Z*$L767Y@-TUdr!}t_df#TGAbxKe#JqIF z3U)z{ThbiHHD`1wJmvzpj_fKCYu}<*2iG~n%-bY+%^q|>lT*dtgrEy^bbDkv4hJ+# zC*_G|$s$D;H*&*DRSp9xNsg?GUe8j)CEy&Uao~WiFQ3n$41_ENnz=Q5rH;iKM977} z)wP`kKr$q-Z)k)-*Qbd|BjFjNgD-Z*>G0hSG-|ZqrpnM>Xig80f6PI9CQD8_imi0+ zp=BKdaZpBL;C5!-nfZw+8r}i{i;iYopcXA+LP|vz5z{g){fRWCLcIpi^O;ygnbHnW zuIS0>ej+sf45kqAI*0-%GshWboOvdn!*upgSaZ@iKv!q)@0x{O4-DzF8cKxYv7Kk* z1MWo&AR)HQ4vYIYG5~j`$5PfcY`(q zu;GF7nynthev?t_1SHLeG!N3C;E1&1EwXaz9O`LFo9T{oa0igrv*5ZYL1U)Lf(}Pj zpGkV+;ji?s&#g$8bt~T3=hVq&jU4mt^rp3NbHavov)((=GrdoPXL|3yzxQAs*zt9x zeZ!j(ZCPl7UZpEdTQmv7 z7f^yR+6i~-7htqV5v}G4Uzvw6U^qj6ZX&%P zC3Arh1BXt#wO--o?#zB>5{ATtG0T!6smTs{UZ9^war|ovBSy1$wyszF88@D*YI>5xiPc1*i~ya7ea?qD~z#-J=7 zmN|NX>u_|t5qG76eUsnXLyh~ZuE=NNHKE;3Cs&@|FL_z^S)qZs{jPxF-ZNX%Txz_O zdQtdUu_3cz^&AJ?H2d!TQkP{}XqMf@9|M@gu3H`hT zOFrA@nA1M&Jwm7HZSHsPmw8e6S+NOKs{wWj%c*UK;$n*74qi<0Md=H{0qr=V5`z?X zFAATzwFILkaEHiX=P*2L&DgE>0XN*(S3#@FIAEDrRW#5CvlhbTCZO)=jF%YdLT#`T(T~$y~U(x=H6PlCwEbS#B zMWO=6DwEO}&j|-+?BGTnK(@vRW!z32TJR#0z(J#h?KuY#u7Oi6U%#?tT=13_%=&8m z7aYY%$_dTTmfn59Ag_>LsAG{xjVw-L_;AAJT7EwO7I&;dvs`QeN~(*4q0AJQ-;v1s zR_N+xn0M9|0Ol*?VISzl#CoQ4=yO%wIve_=?4N$;r@#7>Km6&h{`9Z^^jGP$qGEP= z3m`@Ko7Swi;m&D;69uHk|M-W$V*mI*|MBnq_;2$^vS)w#*M9OlKlyD3Q0^@qHea(v z?48GIXfGS92i@F{f8)o$CQa5q`i^e&r{Dd_ZvjE-XK8pj)be23KbQabhd<~W9`CPn z7k-V#d{+B@SPk}1|Ks_vH8vnF9_7=|Itf!Z>RC5_W9&w4y767zjg#)i&!ZR9Y-qo$ zgoKm;=-bmo>m~4OvIu_koxWV*dHj}igc(+?Kl@_VG`&p!@UPQpsy1l!C%;Jze&?tE z>1D(B&n>$hPeIAe{vDozU#Es?2C(`_+V~)HIz$s&>Rev@{7? zwsD?RzgmwdX|=jnGyzWk_`QmbmDl!E&VmsEA0afS&N-IAdR;fG4tECtR_MSSa@^5D z=G1*>1=!JnKGV?*0uO@IgBry1AW5^yb2=H$B+#kbJ@abU@ceRj@c+EE`+EQv(NToh zyCWTG1%p{T3Tbp4tWlEY%)}2porg$nX>c_o>Nfo4eEa}Al5@#uL$B<8Q&mT1IdPhH zVjaxCaIuldwMiHjhI+{x?YA?Kf8HTyQsvw z&(dnO#(+Lh1%^#mHKc5!e1!`lz^`swMNg8GCXv2)cEHendi;Z3>qtUl&4w6{68`4A z7;qs&PZWw`SM1=7Z~+ugo#E-d9H4&U2hEbzRt@fPajiORNh21UU)Xt+4R#onH+1YD zq=~jDTjjL<5qG#{4=4l!C47%*?fcThI~rF$N>4IPAl zQ%66+0saPf^JLwZKl&9%9`r-`29zrhkYA~UI0PtDD^h0B^sLf@B7J0ar4G%!`m;Z! zh1CA&Zx#D_mFf){0B=YhqiLSX{y|;>p!UBNkIHIbjCESgO-|eOPVwDKe{bi25&1wZ z#AUvBHOl55wl-b|+5~8TUCFSWMYRQfnh=j8+7bE^srDd~pofIa*S23h zTU6E(w!ESuvv$??xY-uMcgzvHgvvFz;1MF$-xpT!O??%7zzzgPr6cKB^su*3l*TVb zk29Jl9Ajn2@djL)6;UiG*l?tO7M*eeWM`+oEg0Ih?YZGy82hRI;)I-51*GMpLVWFo zp!v5QWCd9eE@Wk76^^n3j*fbL;@o)webd0vt(#DrlqP15i!Qm}h?R8L51YmMox!=yH)Hc`eAUj9M6 zjF;bb$M)LS?50?Lhb1VP4PcKcz_XyPd_(69b8o!wPgQ{cT!7&edvMgM0ThgI1Yr|+ z^05bmCRs*cNT!~>QD@x$OEd@Vkq*6CXGBrgIcx_q7aEY7(-IXf=#E2}b9JEZG@!d7 z8^aMg!wzmmI>8Q$qR+?+9i)8OyP?}P_xaC3AX16j0f9Jw_NV2K{?^YyV(e%rs(m|@ zZ)it+v;R3rO&pE<2Iq27=l!KjzWt%cLl*Y_JpvbxJ$>KP`8oo#D=Q8sl3f)g=};xm zWxkHwACTtA{Np;PVRYdO2cxQxS5xmQ$HB``@X}ejpL&R>)T7Z8G9Pb z4v=p`hz<=^L>f5OPGJ{u_);2oATzNy#agXNjPEd<)0%X#)!ETWDq74ebW3O6KojL> zg0SOyyvCTz)!hq7HNe_DtXFhm%jM#tj}xD^&M)ejLKr~VJ;K@nE-!aH%>GR_F3Sx$ z7Ur;C543^@CeT=jUEr>6Dn`Pj#kB<~DX`@`{iTr?NkHfsf!t3XwN70pr4~0vRiQT2 z!y%`Kb+%7nN5W$kIS4B{*E((8ayAqIKnzBo-7qjd2XHpVm|00&^(s&;Vs{ik;HkL?F*^XvoeA+*hC$*Bt`-g z*)F>}qPOyK4-`tW05xAqH-J=ymy~^@_%%rYHVqVP&?sN5LyeidYWdwTss2DLHZo-L z5UB>)-*=Ttah@B+6L*UTvedFV?7$Qy^09Ws zDS(@CUM0X?>tbM(L`OTp;o$}Nz_9Mk6+Zl5ZGr1B_*Y8WayyAdWT0wPw#GbrC!586 zfRv41R>ZR~&cvy}65TdH|36oSlLD#T!4cMi1Ngo;zfVwAocK&B`-c%U6-t!QnCZL% z_HuNzPtr*8@(9N>+7Mmv4ahadCg=rH& zr!Xx8q#<_V)2M+cxG;&N|LP?Lx7f79-*=93r_c3Rn7XXUWnJal^}OuA#6B+{;}J&YU7apvne>a z-*ui{Qcp$T)a4sFjt_cJ*tbF4@#Jk7Wu%UuE@iM+UBhE3{fqr=4io}?Z^uD#eXcuq zZD<){SSC&e2&G|hHVg+_?^Qb-Kq*RPBr*?}XkSHIt$6|Wz|+HC$WW2=FR*ZnHSG-0 z74_`D{2k?((TleD#ME0CluBBCb-A{;92Ynm9cP>N=;kOhqZi|g7diu9U2Aqj8pU8D zpbFeN^VB$p^J=Ky6a{1KT%WaTGOGc4eA8%f=b3ZE7V6CqVNvf{EXY!}r{FortW|R; zN$FjI(u=oP-Z>9zb>HAVeZB7$XoJ%0o7l5Y;%Q49j3Bx9&Y{>U(qeiLiQyg*kP;zU zAmbBMthj$cm_8Gf&Spo3jC&M>;FUlYN-ml)nfq|8(?jTXSXM{eF_*cXoQv(@ul}L{ zmDwYo-cjI|xC>=JAhjQ<@d$Vrqax%R&?m}m<7;LdA}gosXTcLXMvp6N6NK8xttHh> z=8aKVwnXoA4zNZ)Cc7cR^#xKXvper&WOd2M^e+7v@FnsoybC|J$CBP%^zoGz-j=hAG38z+n~F3?8Y`5$A<{3!^~l~_Jt9-QDVnc9w} z!}M?PfwmFNUMr6q1!ZF40FPBSNJFAg@~0rgr;E`_IsDEoTC-C+9UGeq4oD#P5OYWZ zsNbGPgZNO*n7e|GIT?-9;n8RBYjQS$+;f^RSE@KH45+D#+KH)+eG1JwVZih1Q~zk- z3Hlp<3^cFcdPRgEl)A$n9v016f}w`^;i2JZQPaIL(gpFUr$y6CRQ$|P^c!)GvWt< zsWR`9Wpc=_KTUd1#u3vjVLjm`p!wzJLu2=5Lc%9K#uaLfl^AjRDGxJ1eP153CBS9E z+m$99hh&cdqWlula8k3e`1l;V`Xl%kKBkRfz6XV-C^ix6AARe22uRws;X1EpTxTYu z)qp$&&ZcTw+MgH<@d9g*ERPbGu{5QjpGuyn$Iy*q{b*T3@bE|H(Ig=8qHrc490epx z0j_We7+}arK%4?pmIWjW0qHe-#PPa!CLxUjcP1ekC4gdUE+XPS7{JL%K<1~JWV2oh zxCGQ>7|N#a)k)3kr^vSRuhfsmJ3?Le*~frMUD3nS^+fa8X6DLPw$buqq1}(d!2qOpL*VSA>L5 z7v>1bIdvikV^8YqB*~V)D0X)pAQ@sLdy$L1)q{RrMg8uk8}sAh>SN&kVWoQ z2Ush{1b{}X)3><4LU9e-f$NicvdOnx)!_{DjcDfUjcpCEN!b7gW+x-T(mbsHz;Tf`H<{)TdH2#qexign$>a=)`C$ z(1G8VkH6uVNj9YuvOU0S3ojFLJIAL`6&T~=_nhOrFiiw^igr=gdec1q*Km{^R8MK?zxe8Kd1R#L0G zzL*ntUNxe|#B+jqqlepETZaLN-8jR}$+$w^RGS7_-n4ixmO&7WWxa$7^Fus00E&G& z@W7u6L-POn4V@3Q#F*rf)5sOt_y^LC$Z!VB z9$dZ1m8Gu}tL&6o+fAndZeuQut@BLlceSD|17Cy|Qtb1yjbI=K<)!685<+WF>lIRq zi|l56m!czUIO}v7-sVH$E*= zgrNbbP5ZLV9{}Nmd=v$YVIHn;;l4><6^+GoPY>m$8*(m3{j%gP_^>|We$0INf0)!F z#x&U$H7R$rdm+2-z!%=Qv#DTx^9?rV@gorx?tQY0n~hBmFjw|xoHq*$WSWXS_F=Jw z$zaO?4+&VI&lugnJ~b_EKQ(R-!Fz~?*TbrqzJYbkr~xp-Yh>GiE3-2q+vAo*?XYuw z+ol5#_XD)w!g0x*_K2A}P?b%8f+vTwc)9^2kS%blD)kohbY`5OCN9g%_BkD0GRuF^VSYx z7pnD|gP54h$C7JAj?d+oS!!Ec5@S226(fOTkgqmFPZW@TZ>Q<_=SiX0$(^nj&>M_> ztlm5Ps&hsZw{Lz6kf99>7b@Ep_x8<-Y7Sj)-^zE#wxO-vzB!Cv;~1t>f&Yrqw`}qi z@ZleA4SXJPgVUM|ciXm+0Ka%}MlXAHd2e3Opc z`Y^qyn}Gr*1qf+&2Q-bu1@{b`AY`l@$w*3^D9Vgy8RESJ4UwfsR%YmeJQY}OIAqv$ z;`@;kPc=Nw1g9#ud}ja(B^S^R)VVe1vgqC=G_oWNCo~XTz>q4z@Thk{o`|Sk>;Ort z5vL8f;`-7_vd}?p(1KbkzVmRY$A&NIiY}lZ&UCcZN~f{-9=y28*iW(?oe&i~H0H%F z03eP{bskKDO^W+hFl2$(r9=&6agzFg7N{+R5~E)X??V$C1M`7Kwdfb=9k>={OWBF2 zI%0_TWle8{X(ym#7HM&&XCd|M2Djw5n9R({@N|J)Iux~%{X=0W@SD3HaA5}+&fJV- zM-Md zOx6$XwQ<2JRK{!pGCdpCCvNkv#PWnAo17H&X+2W!CKMXHEeMD6-v zjX0USg!ZOwV+PgN4tleYb*kV}6Yf&F!poC*l5b2Ql0|p*=QU&5i+k~!^ z7IHc)Ev8YTP%@l?{MWfi#B0$IdXPNt%v_3t5aSi*$)Vxl6AwnEYv>2$Q5XwI4~ zopndrN%TG^l3=}2FEk*>%|Tg7)xx5j(; z5qZ9EXhp7+T^veO>FNF8`_v?QGI|XR?mIv_hKtHHMH?|<$T>-xWZbvwicQh6rxTcW z_*G>D-u#hiEbxr>BeI4M1F%JeLEuurVJ8AyI;O1u*{HhnU`E=Ku(yN}Hkiopd7t51 zQDkVB^@?n~du4XY*Zf~}=h7NN{MLrir?I(kWz|0XFJyU^k>)7Hyk!L7`QxiMo6Pe#F5n@ zb_6CU>2?)1tXZMAV<~y5XdX*=B~2vFa(qT8y-@V}7XV^eA!%Z7vSu0)$t5IURUsG> zunVnvC@b#xYo30K(?MD~4^Q1*%?I}O?OQ3aRSoGx!-vBBeyvjYEwAMo^SM~%0$ zHTo27lS4m!6r?HM`vDVQRm}-Te$J_^_{BODZ_71q-N1SbOe|giv#&FO5=!{b(_i?l zqT?fTnKf(i2VrV*X(N6OlB(HXd^o&%}6W>OvAgk7AsbWM<622lj4)GoHSm z%Zb7N7==%|noxPx2`;`*Q9gY7eTFg7+wvO!PT#XuK}t-_1DI8i2(H&pzQ)|VUQQ`1 zqoi9Ut}acFp#W%b!^hC>?N0n z59d|Umz`!)k0ubrMc0@oy=@TNOnSbm$9Z})urg=r$6vL+gq)bXFVVHE5m?f2K^Q4y zo8W{W$}OinRRhgHT|U<()-XtCncP6}lNs5UWCOjjhdoU?D3&=2-QJ(ed(pf|kuly& zLjp6aP1ev#HRE*7sDbglW(}ryW%NCWgmjXS4=Yuo1G3#BD;!62%e(H?FNI9`&p)E& z-{hnyG3SMbLS^b4+EGuqw`^KcBdx%T$=twRB&TEO)S*xZJ)W#jh)>Tg?@r%Z5n~)N$TBMVxz4*1J{~ zo2~V~m@AIFycd6!Tw)>FYyc*JCLF@n-)uH?df}FWUM8lqr7dUZa2W|~7kd;D0l1;e zNvZB_@S~QSGpBU7fO{3dlKH|7T(2?12T(l*}a@F-fuf5GK zL&l{jXn!w{`U?gxCe2IXeyVdeL%kLy!S2t;!n!X@1bWgx4;mrDsllwyKP1T(d@Cq- ztps)G{wyW7(A&4z5wYWO3h=NLt+mBwxD64%xn(S&ZT!F`1!-bYlp&P1 zk^FrN_OAJ#PYi!_@*X6@W!98BS}VqQT7?e`XCYtXP8DcbdZyqWC>X4!04{5LwpQGs zRXnf6Kjvk4bgM*{nF`LzG@gKU=%4)OX2n9H@0^EtTwzl$liWIwQyE# zS)LBuPwkNAm25t~oGgHXO;d4QP%`g+3x4*O_ujs_=ly&$RCd*<{MPy{L*h7HX4NAbBl9!4Xo+G!)RM-5(H4{s#fzlGGCy$;N12H6#(|a1N%4JA0O4JgqqcrFM3YCTx!KZ8vEA&_4A^EoRK6Zchs{R&!1C3lHqON z1ezq#Py8@L2rh0AfRSuXOo;IvjqN5(W`vKRzqW7U=yoK=5PC%4^W%k-ODf9bE+$dw ztuwMFX6Q!jUn8PSV`wk)K8-|?iO@BUw3IQkKt}GZ0|$BsYNmxKKZ*l?A?uO@((}=g z)V*~sNGj>|yGhao3#3p=&V(7}Nt$S3$INCNkS_Nvp}F7F7|Yu5T6%GmF6aFJ{L5sa zH#mAU3#9q*3>PG@XOO%*r-h_*{wXu0b6*xG&g}y(7u=Y)U{LYci`5;^_GyR9g9dP$ z2RZ2j4*%+`ViH1*h)~{dqx$C!`s>ChxFpgzpd0k8Y=pmSXEOX;f(T+wj5K9c_eU8cYV!tiL`2IKdteIUTcZtSf^agpiblV3pIW zTB&2158X_fH|wN_=uB_~#LfoHOJ|_6mfefTeF3AYrDnKc0yRM5Y@4$F1nL9**9l*? z&ABo!7`7ixB17qD=A;P0>4APri*(sf_^;2j7!b!yGLPy2^b>kfs!nI*E$AsH;fYVG zJZ%(!{Lh@WX%2W5=HkAhY%d;#Lq(@27O?XI-buz6g0GoL#@aoioAVa8Y~}lAdhB*E zi4G7(X)#ARGByuGu0R~Zj4+G2p05OwJ5BwJ{cx%$TR3ze!Na zYc^nL`D&xtz;5lbf8hd{oB;kP z7wpt57gvp-4Z(@WaHB^g!zf!*>T;hmn%>w7JvhD^Qh;sH580&i3;EP~KyMmo5S;mGh@@44Mp%kZZ8q>5Td0J=TCxuM0sQ}-pz z*mU7&`qdlH%&p>Usb3>Pnez3NtK_nsYFZv4Gz>JUOHk`Nu~ltOyO0J-c9?A~*( zT#>AI5`HMLksO1^sACupC;_1L?B*kX=1D`Lm<>5ZpteOysUI_wCSsUi|3f?Blu#hv z(|a|%?*Wf~DHfTS9+YNz}MdugVQxtgHRc%*g4yQny=tSC6z4*B6dY{oJ7;o^wr7`kihv* zy9uzY6cUXvWuAlR2x+8Os}sCtpk%qnd*2VFd2*2Az+?dkd`=K97Lr*>`&bEVHFand z{k&J@CnezP5k?njiTCtKpY(T+&vZ5ek%2a;7!_jaFhGDR%m6kgfW#n1hrcFi-e?&mXp7}`+yui>8L_kmW-;^}aew#2o(STAzQDrcW}ON8Xk|Tu-=NwYIqN#wLOkQoG0NMjaw^ zfANu%H^+}5?uyMvi#8`jR`}WMOD902$M`992egpCkZ z+^t|SGP3gL6B5ry7J1=(b{Wbd@Ud)W)9WQ*l%77jQ5-HmyR-5Zw5UR$ITFbUPxv~< zNj$!&k0ZXE;XqONf5EH4e~1#M!HxpX_l$fl*3xc6-Q=jPFp+YuFXiy1Wq)f*yYCRT zv)(m0(?^pI_C(h^0#>PA@M_5AC6{#Yo9Xf<|joO~EHg!}f>^-$9 zWIo|FVhAXOBzk(k+W`^cPBN8A07(HV1jdgS6#2`B5z>sio(8Q-BqQiwOT-N@b|?U1 zoN!qwa@MWKxrm>4b1fco$Dobj$S{Y zK<@Q{39^M_gSMu5krmE0!LE_pE;tmr={9#OUZ8HL2BZT3U_hV0kcwm9JYiD5by7I^ zosls9q}IyTRXHh{lnELD(=%SHo-k)ougKP~FRBY>$8P8l3U^~#xJ7h(C}DDQI`)aa zevOA!^!5t}0CAZ!V^yE`0daqL0{}W?-%N#Woj5~e``GannTRX(wDo`gTM`1qx9kED zWGD`3D{vHT2=>kXpg9z80V_LH22#-c3Zx~#BMIRb%!=f^*KL%%!}hhqg&vIF&_sn)c~lWt7vi5G&O z3e0GcwZ=}|K7Nrq-2(_+oY0R+A@OO82Ne{&y4I$6^Y}elkPp;@qT3WZ`gH&JMeBq? zL@UKlBU&&SSfEmCd;YV(jR3nt({Vs}*MMTx;jgJEoR^{N!8&!pd*)j^^(KG(BPzKn zcW~PR2AvF3I-+U+jBpf3$TmSqPMR;EzXdTUX-FZV2cBj;k8d8o=pIN+O*$_s1{rOnfvR(9@##$s=nw ziLLta`+B-mwSD|PSsBzYsY;x@MdP7O9)LDuR2T-Y2>u|0!S$Uvuqp( zWYeZ>rCBuZ56AZLdk1IwEevTuL7YY&9u6)rtbhHVfqer2u(Dl~T|GwI(90oQt9)Cl z!8{or(3ATDveU#muvyu+$x?i48z~nhUfJWm##EvbW-c%qk~T8`eMWmrs{UVKW1fTf zcD?~e(oMlA*XJC-LGXYr_eqXt0Lc`*d|QJQNQQQP zFPH6qJ=rf>AP3-HRZ70J`CIXrm_NMI&vQy4U=JnICSTh7fBJ2B>@i}UQwMD6s0uS# z<0<^go*n3%oazVEPW7@C^cT^Jhs~)sEbEi(qQ-1pd)R8&zO4ISNAR=(T-ggehPH;@ zv~G*y1^WTB)%x*=CHp^%0kiEEAsAu(ONJ}*y(aWOAO;v~?_5I2ZRR4}{k z*d_lp=6xn$8i@t>TD1ajE>HR=M)vX%Jdqt-$nMp)Tg*?V4nslv#2LHza_S}5|AR9x z5?Fw)uV;cae`H2pod#+jm-1v|fS*w?`Y(EG1S~p?*MnXzSjiH*zR1b#hIRuTYYbr4 z4rC576r*wRm8I1!j$OZGrUuBCn8U}iXi2K%>AYgrI^SvsRHa{sqtu@>S+B`VC36^r z4{vB4an*3FI&XF2yxxMT80Ik&l#y`Izx zXSLGHvD!EOtw>lmh@R>dUjaP+Ze2V$%eF6uoh~~7(#KAnZD5Pm*w4n=0>m-(A$!_~ zK=(nBIfz>n0KXUAp;=7)lOAOAiRXdvVd<@>F-ze8+yC>mrv-xLjFI(?24|i zZ#3x`e!sO%%W%0gTX>M@%)*Uqm-qKH(Gw1wmywl40xe%R=1F6!zqc7y2fsXNY;5a8 zP5GG)s)-UvvH~-ta2yi0?`kn7>_(ufcvkf8*-?aM6!AC;N${QzDjwYp^XV*8mA)`T8z&ziZxy5g{`T%yi{$W3f0cX$JY-txFVL66&(Owd8UsRuia zeA;XCf^iGZ$beQ(s~8T0XQL|4pkqGb57!#(cEFf-f*`f&=xNWS(dAEDh;ZBapjIG* zIyKeC*#jXEepuk2G_|z`;<`d&{?j2fXW(QZ@HDWQnnBeM%3f9X`L&_Y+Ci`^3GaThIwM{YtU~mBIN(?>CN1>{ z4t91%MBcT9cIDYXMQhI^&L>vu8Mu_Rhg<&-ZSV;0-rGwi%8K56&Zkg#D_J$-ql1(7 z6m+}K2Y?w_YJdh03JOwQiyWrQ20pABhSnNsl$j*vaXKFzi<}07E4z!x0m)PLf z8rzhQE+lUNlBd$y+r~bceMMIFnkvPCv=iY+3Vf6^{Z(CjRtv^zLmDVgw`)Gw|tq>N-E)L{D9u@ek{NGhrgqZAb9C%j%vJ zW}Et<&@eonBiYahBgKtA8SXmc7T*A2C(u|8d$I}?gU|#{4Du<-tMxfrAh055J**Vx zi2_Q%uz7j>UtlGUWaq5fvX}1#P9_~whFunggg8SP#@IMcgeU}^B+M{RHSGuiymlh5gI%DYEED{ z`&y@1&b}FW?`Gf48QIL&;;fgS!UYldP8?eQI}};kr5v4xOl#>>bDXImuG#=(S$(B%`Jm%p{(_njat|cA!3qEXB|phDOzF&FZv&7Yz^&nA zu~n-U$HLBTH)|=HI*A{{2SyvT6LBDD?WJ&hVMn`0j-+;cHW;TLF#kpB-9doRGb)^*Dh*%z*QdWG2)KH-fDpvrc6G(BX7C=lQHK4b4SPrcd)n=bJPZ zB(&q>5ZTU3!poP?lOXW{{E{5#lvx|Vd2PTlF%A)dmO)4}5um8&$usg|>)-rK8g_wm zQgJH+oT-cJy&V9uTV@oZ{l9NIIoYv%MV~;fN#734YK@RRIs!|$msarawz@P>$>DC_ z6?S=l=Gq*%2F&LHKziVrZ-7YM+aaSG$?vpiVaM(f7?wC%BoJDy85s^js&HMYrKa&U zsiX&8k(#;jBsGmKRx<(1jt1SUy-Tn6E?V>sSWE2AYEHH3*L8XEGyO^@c>s@Ss)nr! zBg?zmH}|{5L_1)Ki|oo)p{ewBaoy6Hif=__FAe zt1tZZ>Ahg-2GV;wai4i+$&35m40OV3>4JL_ zyx$;mu**lh*VCam)(tKm^C(~UB9vZ4*@wpnl7ra<-CkKguWal`%<~}o-A!JsZ?Qo$ zZUyXu5AR0YlG)dmt3GqBfB9Pmq*I5EBX6BlSY%Oiszf4#B~d>AsCjAG(650K2h01vOk?}I2`n5%Vo#{FY?a7QGnWwri-3F;@+6oopefz zEc*fpbo7U@W#H&|RJ&Xk0?BkKeW>%YqvhRke$UhhNo!6+O%`IkZS9M`u9!}vx|HTV z?W@(*^meoFp<6dI8R%7c&lpK?F3x&n2hra4mr_>6n(UFrQ6NO0hUOd|zX#NFd&n0e z$Rga^!BRwDR2zxyTa1Kb2@WvTCJAn4hgXIolp1Am`Q#2|o|9R+Vh5p-!ttwibVUr! zMKd7U!Z}nWEgrR41yG0S^MJVf4hT{8ykA$uZIK3{oS|FDSu@8WNYDC?9pKMDp<11R z(SSkCr?xyI$90F}sh&x=vL3DP!>cSAr2K-Lmt^5R8*c&tpR>Fh&=?@GocIZKp0rA` zUcyVw#~Rv&TCsfzvj;u9~tOFB&Hvfn0#f4MR%mN2b14siI;Ly zUDbQ3R)o7s5BlJ6NgR<8RR! z@c73pwA?y@5t&|eIK0{f!_|t&;5m{0MJL^h&%xre^_$=L=p&;uIJ<(;oi|m3dvSJt z;}&P=tZsiUw31rdH!Vj3)jb`&x8Sm}4=`cj6>*S|eLP~%pVfF_6=X?k+8;7dH^3RW zk$-P-Q5Oj;8Tg5CQZ0&;wMu624gZ6}zI##ld{`^p9si;?uaQP6Twta&Y*zqybENsx z;+YiZ2-{s#Eu?!-i-#9|31|lq)gK`jxSD@bC6cKbtNZ~yCWd36Lkii|TY%B4EvL+} zXP2pGkrF<%66c9;?iHA+&rVw$D>4c=ncw`4rX06MaEXv+d(I1HmppL(fO8o7L9t7> z!$IOl996d#OhfoT&e$f9X@|HGP*vdsFC3bI8c63=@kE3_dgyd=)?r;r=29~L#ma}8 zPM!m2zj%_;N z$j~sA8Nvrin+H0In|f@6nQSL9zHPEyHJfJHGQC?iesBH$FVeXPSZnsmYezUh=4pB9 zkI+a^g5HA--afp9^7?hwN|pPj9&oMF9h$sF?#3&7uO8HX2lpfc%#a>+4?2uJEu>rX ztFU+iLTJSfT2lD6-XDAwsry}%8?pSm!M>fz)uvzcQn~b9K&F3l9v)b<{N@S#OOVV( zYje>1*+jp#dj_@jBIYz4#iwE%r16VqcAqs_Z=@y4{+yPy4wvs zaA~|?@&0<|MR-#VpAU>QDLyMsA_{?Gu+>2L{swOE`eD}$cEl0xuk1|NrK9<~Me|_& zl_?Lb9{7+sv!9&T#I|6uz%^a(a)c0CWMdgRc~YEG4@iqn0_gnM2{ai*ziUCC5FxP> z0OWTbe)mUejZxol!o-P~^ZJgVx_zr`^&JEC!U?G!sZJh{-vjvgv<_ji@;On)XNo~5 zNvL_#08S`GA2`w*}2}*bvI5OLR{0rkWYVTK7Y&*n*$S>>#^IX^dCEAwxXX>56@^)vb!Xssity0Xnl~Vp3;DQMhpS7k>_N| zoflar1)>*Pb2%+nU#86o7;ZR5suW2>%Ti2Yz_}EtX~pH{`3VZSnMJ$c{aIpW;2uiQ z7N=fexTLja(OqE3MotKx3(*oVcw#uX*xi|+lpo?z(yMnU`yEeN!hdD26HP}J-bJCs zY3?Vo5_ar9j?p4K*>Q{lZfx~{`YzUtI;2a$0Y{z2vbpnOi}arw6zS?M?g|+E0=Pxo zFWnpeF7++Z%V^IyW4b*C@Anx*pH{7pLSZ(pFgzX7bxFBoCpogg#M9`apa-g<9jE1h z*F|~+{&Hl{(FgA?2{hS{&0t_Xr;gH-4QK{4coy-vBc%M@#lB3`4!}r)N08#t1iWyZ zkQRe`m!wi?T7*0m@M^kPW+)O_IfBDFX!`Vm069ROV8VuvRESa34QOYi7u<%|pKn+k zfok?sc>u`OOS3ytB?J$FRDJ_Qz*7N2AB;3j@BGNRXXMA8Ck@uiebex~WQ?7_%bFiK zO8Y`n1h6yORb&h?w;wubau<#KVge{5lP~WY7JM4tc>%^r!)(~)JU$+HJ`&q#>94>)rW*UYwvcV#qcw0%x%Y$9O_J zL1_IQ7-SQ$wE;p-9fPsu%0-#rYXkURvfa8$9qg%M=lp;DYwI%JSUFznd`^ey2EWk% z{MMQWrYriw+0Z|q<43o#rucJTm)CXam!P#wbhpxfR{Y=Rs8@3UVJEqCp5u=M6`H0( zGen9-l5z<8@BM-SU&gIQ??5T&`G%T_Hgyo2Kr&m$Eow%g+bUMW~G z+r!%S!<019^%=B5-B`_EREy)M^#b==y@0(R*c@Nh4uYyeu~ev9;=Z(bbLeA=%2adik|_pqG164~myZ|DdWMN{_Aji(y9bOI!69!(@QTuhML= zs2%`~r!}un^VRy%m4+|p89ffY%bB9Hn*Mpo zOkJ%{Cd`xS%Mt%e2vonH2#{vEaEoqMOJLK>@TAsfY<^f<6%yTe0Ym&RYA`f&w zQ0v!#AW`zs^v}0&`OYE@00>h)(zE(-FGJi;a)_PFaStrgOD*4vug)feJY7zwjsG`$ zd}0WdM!tQGd)4h%oNGT>Opi}m)y4GK_)IH{ZS+PO{~C|N_pB(?ZE0A29EAVW8vA$P zRupAKnE9N%Svf15tV4wKS=?(BJNRlh3b()QZm}RF@>s zj_`8Q8(>ca&ALsJwry0tf}<2UyS`4#q1_IDK0<9o_V=NbcWBW{Y`TrRp^YV(3479V zN~%GfpO?+FJe^hm92)qF%p8%`Vy1v|C>Zh#_v9Lo5Cu9Gz_&P3qNkVOB)&*pNLpFL z3$~g{_T_<|$B5!N_PjyIxk-2o1S1Ye-x{JZ^|(nCAfc7BFd)0$67!O z#wz$`Ai`fXqUCrid13&tQ^)}qcxmeO?2#oHT}ASQiXaD6)y(5Ct)ZiyMKaL}kwqo5 zD=Xz_{Rh8@>^%h-e_YCtW!U0g29BXMSR6F_CH!$pV%aOT_-xS}*FbUv^K9XaM6E?N zpmmyH_L%ts?9<&kJqOG&%5^&c=&^!v3eFsur^V6YtQyY6tQ45T01GKJ_lF|_U5rTj zhFw1Z)T1}+oi@NRDhv07UY2$x4waYV+%ETA=k{ zdcDDkakj-5gY?6$v_I479*pNpkF*8bX1zndm>U{2(^me541W3waS!>F*QuNMl+J}C zoyrX2ZW^Oa5MH<3R&W8{>QE1pMaZ8_P1W2t8Vus7jw)CCnN&}t zUKJ{EU7Ux&yXldS*<2}Ikh6>3(SJqUeIEFbd;A$mJ z{1Y1<4!*BX0`qm0eqx`dw`>Qv#PQB{rx@jej{6PA`7+pYCt#pYC#`N|Jz+2%EnxoS z0D0K%IFXa~Hoit&55Pgx$eyQ?5q9~dopy(HJ9Illo)y4Lp!Z85?KZc5_zg|}AzI%E z8z-CzPgy{+>HN(i=ku11K&0l7LPL|T4hnx$&d$+fq(S5X0slpnlrUV;fx)a1^eRrE z?Wnh9Qcg7}do|!d07#b9A&Up-kx(h0)>$=@h(kL^+aEB}Nr{)Dk?8%um92E4D0zeHRfp_fo887?;G{_ydGl7{&)l&USEKc4R!~K!AuaRu9uYNwM7oiX{=PH=#I5d20i#_VX>2Go<-5TtwguQpbPZB_irXBVLx)`k4?S@*H}aCJjjl;w?h4&t)eVxqJ<47wj^}QM zEo765x9MsWvjbn8ubCeuvGq5}&N~&w-dVnbPgjaJr=M_z1Q_h~ecRAU&!i*H2@!z8 zZxkm%1pKq9PGaidMz}{(ZJ{JF`$YN?rZ{wBHw;6hZ%(unp{WM+B?MpFTMz`0C1nTf zPIi(g34JS^_#noH_-HS-4dX4Uu73+ivz5(dB=zVFX;p6dL)+cO*MTzL`O)qmN}HkZ~-Zhg;qM% z$;MfS=?lWQ6NgNm0ISc>lx8pRtZX8Mh@PK4-_;WlM`P|KaH5cA&!aWx`7_pv*i-|n9i1$s9nopV`& z+}QDi3Euz2d_5;YnkFuCXs4sez24O_*G|Zuvwg(QrhrDoeJQ?zWd{M zfAa1J_Pf9L?!SHad++|>@8maSg1n9fwfEPguiNX$IhGIq&|I z`uM|le`0_6ACcrg`SLq9efs-0b@p$3`JFHSlP`be-48F?@}w;W-ySKnxuqoJd=VfF z9Si5nU*>-QckliP6KK;!P&3rr_vuTTlBLunUP@It9nB>4C*MHQGcqwac|~$S8?d+7 z;xFSAPWg3>L{WqlcZG0HlNyFxW+?eV0s^zZDc&A|qGEp=mL`hgj9e*w$)|Db9M7Gx zh9V_308%HrrLKWWRBQs-nAi_|Kgb+vF-TIMrYO3LNe^)EGDMDm zI>bo=H%z<)F0I5%Q;=u}cVOsA?t+AdjF8s81)1DR?#DseO_~Lbgm%>+M0)lejnYG~ z!ug=W#3*e3xz*#6S|h zivube$5ux=AKBWla~*oif&?KxVH|iVwH%-jo&Kt#_fXLbPy@-T+dTe3+dcl5dm!g= zPPUs0B*`7ZsHm2u4jX%3iY%d>=?3F-kggLaX^7yCJ0GnCv9*JeTLC(gl)|ag35|}% zh>^MU!;3j2eT!SC8g6;hEqgNnXdZTdD+CmA79<$0dzU6svx3ecnp|@dt)2`pvU*6g z9|kmy37D|bJH#gWchHsvPsSt7nR<)Zm^hE#9yjyfvKl4W)NT^hbte;F<2IS zW>gvL1g@#`j4I&E8))A&{Vm`LVt=N;C8qLHC9SkNl{gXY0`XJLjcPn|F8f+11#8A! z4NFZu4p!%G9&tme`S(t@qm~Hd-I?VjGc|Kumar!nX$It< zc9`j!u0#t*9_`T9+nVLXuvC9;0FYDCPq`EQ$8znP9t7c?3RMuGenkfdF{}% z5+Su3A63l5Jls1G0u7(< zb~w&DuREUgHR{**9QXI^tZy1lylDAMRS#5S&GUAkA488QNjf^;H(mN#NIwIGCtac8 zW=}u*w+Psjt3$DbL+j6f@jaK6LWg6S+hK<{m(D?}sl&P#y|K_0Z^=H#Z9rto`lc-3 zW--wn6RgmSi>{mUu_+&z@^U>W5M{*!uG^_TZWR~B$&`b-RcjdG$T^g)TEU4Y4S24p zl9(#dSS95e`(a(|;XatjPfg)?EX+XIm;Fyoh0Ih)#tK5Ey;TUX7xA$!9lNG95S!0R z&!h|N*Lr=nZ}?)&$d0`yr6o>rE;=!VeN#9yg+qR`ZU8)q70<-NDvdQ3B={e0z@o{|u|7$i+mqX_D!!^bwM@O!%p_klj0Y#?txZ0SibDYv( zdc@wmJL7soN)fZ&NpI+_TNQ8srdoKmDDAttv?orD2eqs9NIhC?k-IGIX@;V%dCSxJ zbhMtSG_GgT)}~7Sa+P{|g1AaDE^0rxXvdpRk?B`5E^AUrrt%5*Yo&(67T7wqy!f<` zB5zrVo|_VeGijo4@_h6?Na1l^`|((qgPNX<+c#Cll}FmNsS?Y|D{{aUjO!@!m*rFa zCSck2_i{)p26E^te_7^SIeafRlIEFteuF9HU@a-kbG_9zxTA zg~Q0lm_sT5yQEbh8qm3R0O-A+^9DG!;8O`8fs2+sCd?J8cYsL4Rl`$+Q{Cf?cwJ*P zY&NQD$hKPHwjh8Tj?XVH9Z2cKl%@ex%}{pssu~Kj=S5TbP|DNu&=mmBT^@_A{RW^E z9J8(YM!0;W%X_ALk%JRz`8k@9xO5cHq)Mir!n30Y7d3nf`6pas9K~q&R0@uE7)(=` zyMQ8CzIob_sWlog=CzO=Dx1~O&)Xk|KVJM-9BL|ij%-i5ihk(+I0LhbZhett_Hq4I zaJ~PRxwre3WJ&JBW>-tvD${^r7_eX)Z~^7Jdk%Kzu)aSA(4$}VU_ThJ0R!3H)!lWv zx~p$}oSr@qVDL${Wr3tf(3U7dSnqnxB|%9xVT!T|%F^sYSV`7jA+AINe$$KI9KVRn zs;urlXXf5rnclrKb53_=WM*V!W<+MhFMj4v8@wEy+-FQbgv*gBYbgIZBFi<%J;-?~ zj%u({1i^v94y@*!yCqT`Z=2ygiS35$%gWTnWe{$y1+&B^(|-8wzT{Z%klXBkN9ELF6$59t$?x&C$rvA*^xEqmWu_4^_Hu$;~ZLt=W#$!L)XGv zkho4i!lm$|jUOvuY@cT$^5Of4KPydrT&PsXW9feQevhlDy1F&1WwkDA-TL9fAGC|1 z-S90R3H+WRV?V}3)ozr$vNj}^@ZKp+Wd<&%>I)KgU>99gwvu3hFKZe=Uw!yZ?7cL4 zkljf?Os>0sC0qEkOrPj)x(`$(c3a5uep{P6qj0k6w9>L1I)nLeV; zX(rLc(#PS$-(1Q~18tW~?-B9B&k8Q8xB3FOT?lu%KLTY-GgW|-8J#v@=TKPp2c#?O z+~u=6?$BcSX278+T-|OI-e%2fcvPB#|X*#nqh-j`5+bw3oBIby5_1X zLEYkue1fYBuKwzVx+H}In~gd&%uj&NG}vgk>V<&pRma$(m;0vnY_z)Y)T+IgYLBLm zFO~zO#}?CylcwnEAL)e*fwt{-(a@gXEjaTJ%WNX967!d-R z3~NWUxwOsU=HarKod@{+s`jE)NVnOpE=NVO@vJTu-?M@~FOqwnpf=AABycQ5m6Qe9K;lRLIC;|3FxbWNs!hzWW<#1Ob#1R0e zD9j<&>7)ii$(EF}>k63v@Xguw@Kr>VW8jl?0E4F?^^epa0PzXHolDk2?XAi+UYQV; z3)%(koc?7$R=DM40H6j4aVvlYEK64H@amhz9$v;L)z|rfBUvhq2Z5eueh9jer_x!{ zrr4?4O_2I#Ro1vE2dm*+I_f^=^XqJS{LB*~s-pEI?w6+PupEx=?6;q0GlB#JZ$mm+ zoTpqs#P~IxcJE=WmH=sLIonAM&xz905DthNn2{oII*`KPm_T(m zrk;<#T=abWT$0B|M13}l}B$cl*XVVNdJI0+z-quxFucWKy^Vf3H5oxue{g6Jc ztIm-;e4n0svlGev;(Ia&5v+`tvPg#v3_Dwk7c9 zkz)rbqlcEC1gL#hS!gsQ5Tx);`jaViJ*HgVqezeWlWBB5E!IJ4OYqR*dKR;!$cDID znpfZ7$UmE04^fbA_;P5`^nJ5;=p4ZjjE!KSwuqj-NM2)F1n}Y>8=EesuR9OTlgB~a zzz!qzwl*mcWU`~5P(m`kkVGS|9n_0zb8K{L3q>m7Mgf+~NcWNReSC`%o3Q6k2Z~uO z*A2{1TD_rs+QuTj44lZ$6X+J;Lppkm^<|CLdF{YIVKKl$yqMjWmZMx?ugc}s32X23 zKi!t*;`&#(Z=0k3Lh~S^&SV7#-#Z*L)jxy4xQdBq$I4x11AC`7W}w4 zk0Y{dB7!88dU$fH2ik)gSVVT+NZyrbNAcr8F0;qVkyOTm6uaoZMH1Rs!?C1J4N?S< z`>ZCJ%CWAD_swBLMglvm2*j4lI-z%R`O%1sl`spFMC)0G0CENC*W(UuGbIz)FZXKO zjG+kd<>D*;#EZhzm(Y}nM(RzEpfd&luMgR#;1s4Q)j|mq zeN%Ti3NZr8A;@x^~`1QWa6jzj0awjM_H~jt(w|}?Qu4rkm?Ed&}TA# ztezN`qA(5fh-qabt-!a4<(_zDnQmzBIEJ2z(~w_)tg5qkitIIBjMBlpi1Z7ICSyD6 zg@K32%ze|{3~(7e=t9~dknAkd?;x7g%zrPpg~b|D#5%SYBoPsa=LDt@j8yYtv2+;$ z*A}zbFa^G>$(+LE&PTnuUZN+LA0kQ60}}L{)p4t~<=a<`oUm3|BDNyC4+cpb2?16n zee*^&dikZdSNh3iBxsqLNYedeW)O<@Ug-hQ>&r&|#%*L_^E5?R`c==_;F0yySf$TEURJwaFcP5Zus{zS_ z==MXec9q=%jY6YG0^kc}X)Y1&v?KLsr*4fRc6@$*4W(Nt*CL}}Ao3L{56z*uRV_ro zC0xk34zh$Hj<_SW#_g)grJl)$>8u>{RfFFttLLHP+q}^Q5gX9D2+x>GMi}D=6)={4 zQWe=pCH-@&vk`;482<)876&Bm$mtB!wAn1pi-Njn1G}nLZMU0sTi+;4Q64ZO)YYVa zQdcww0HiS%y6COl$HXwoY87c<5R+~<3NyjTsuY!5FxBqi_=4=E({TLUVyu*2D45vI zP~8@~7%R4>Ib&?q}oDx4L?O}ALFm*0{h*?_% zR(hWM$cZ>@1hJ`d?b&M-p4iKyAjpwBaXQTcQ}0;yeTQc~oIz!Ydr0s_?Qnx^S|&Xq zBE`q~Dk*kLGD8sLUabU-i9{L)yi2QRNw&oR(J0jj&rYXIhm>gJBX-5{=)m~K#~c;~ z*}b=^rdT85SW-lnJ@pIYQowtTG_fjjzsPd>KR>Ij6vz6~ zj3M812|ok3Q}q+PX938|?XH@B-t4P`;bwzWel4h3{(!${ux{!Dty-`w+R!V+=j=MULF2`yN35I9JwKX8jGo|EIUB%_x6;#4_a!yM&+~v( z3OaNUw?*ddu^wJ%jzvM&zcJF-c&%{wksc}gih$$PTwsJG^-5CUF_9M{a(k3>2HUPK z=tW`mBA-NuS_)&*W>|DiWH+B$NjC8bP28G8c3|O9Eop*wCgcr7IzS0dGBbp=Nf`jlRV|{6E4XX>zcaphVcFS_juN!{w=)4M#Wj-B@c;v8tc(l z7d2M{Rm@N^oL3|<(DiQAsCA8aRwEl*dcD0qq1tXgwh9XhbY!3|Fu(YRqpK-L$qRic z-;=#f?0Y}!kEsp^V^eR5{TcVkUh*CpToclycDLHZ>+{KC^ru%0vkOk!RRJs<(3Wi1 zJ>rt|rM4p77Bp~O&6-ly%Wt=~LV}F9%ptE2gfAC_ruMRUz5}7LE z_=pQYhH1G=q)JFzO(ve?rb=w8gyNUHZBEiD_@9QEC4b*)U-N@fxhTuBVKRwP+0?zm&U)XXN|vUu&# zZ%4mZ;&&LOaj2{0x=LoMq&%b^dB5GeLJLe01D%^I6uLrgw;`_5JRG)tiE&{T)1x?X-v0s?b5P95_#I6%x*6HAf&H7WOYh`|F zYK6L1GS%V<@wS8LdM0Qf337y7+I2EqFqq{$6MziP+X0dzbA`w;w~1UK5M-dP>UP4f zi1`&D1GHVdkm7>uf;YsHEFIG!-%Iivg=GgLgP=T|D;cr4&?C`xQdl)2|B_MmkPDW` z5E+~8I>A&&?_x9NVjzBynOd>)5C4tJJzQIM@a=XPD95t##4OD@S+AeX?5quGr|-`m z-dF_cNv=ukJG&r_{aDioVnc+qpeNOFvW*igq!%j#Zc5w5fvG%s7y~tMsB73@hKLCB zL?Mjxz)&cx=Gn7(jTDvjYaO61Ep%YPCu3dGo?5lSi^j29b=-f6X;~p+<{O>7pTnVe z(=;m+T1Xpx!Gt()lPUEL94)CAOREoyeWS0kk=`|uDuq3CpkeUSWBJt7gJjQsZ3uZ7 z$q>S^<<(NBOyrt+sjPQa9Y4eVcqlp6j_a(KuK3;Xh;^MC3?ubeYG$u-?8W+||7KF3 zib4t3z8dx{p!|0|1-K?_z?;3^(u>Kf!8&z!mUB4{uJkD=(NZS%~lvY zs97rn{+n-g1`$hcX&_^8Rq&GNPGnwP?71IKac0Hs74+gv6p3#|FWp`Py(VyT2?3magz^`7Ya}DOxq}C^{a=76ymXFCTPa?xIbeKM9-CfgH3FnGZ4MVG z2{%|9-CSN-lujUQ*(=?sU)i4`9|%!1+=Q1{@~XJSNj^cDh5n6gYFatBnGuk&LB~Vg zA#E+5md?$3-FZKS4;=G0zif~Sk)7(ha$jkz?LVP!CvIievp%iM%UKT-G7hFErrQF; zn!J1GsuK5jw`Sd^SznzGicV*>dScimjy6J0ceUBH<%XR`|Nl|q)&w#Wz5frsn3z2s z;4ht^;R}0UM4gvDo@p8JU21P}l6pnEo)@+B*;;hL(;qRS)^3^wQ zG?Ib=cMP-WA^Xg`fP4(1@FDojhG;}uuKY9agqM~>2S1|XA^r>jqlm8{L+&B@%rU^1 zVHDxZ(Ony7CO()V@i^(!XUyYAvQ^77S;6>#)575{d0?9HXU?H~QY(e~m5|W>BOL(Py6dEr`)G)YzBrt7YTm zJWx1~RvUHj;tZu5q;ikYXJ_aYpzVE>sv2NjAjurDqN1_Gqc#s83L5JfPtzMOPN{Wo zt4^w_JZ6K_BYLarN(8eM7*#`ykpcX3{06Q!LtBw{h&GN?x;xiT?5!JR4=MGQ=WwNV z;B5#J#HK~d93U$Sydi!p)LwChxzxixjZn4o8t5s79z# z&M-9qBEAN8f`L9g%*h>QhGfYCdmF(80=HiCF*B`<^E-1f_VvJh4W6I)TVz9HMMglG za4Df9d@W2DCKGt#IubZ3poegSNs^&s5Ksbn66OBD$+$!S2QpHb83LY*z$?fX{|)EA z{R#ls@V@cXoB)pzWF#VQ-KB@b1*Fa&JRMZ#O-Z#J0DgSj$Ew2`lwcE@`avF5O&09wlLK;@ zUVJv9UE;yFY8e$Npp5__F&ds9H>#b7%UjZX)Q9gQsmaii0in*yqz_2400Ck~hk84K zQ)_s#EcA#xr+mHFcH2O&3q7ubdB?@o?yh+P5 zCJ!x5wi16yzZdGcY=7>54HU}XG2(V8jsOOB^h14%?EHR;(`;MaSn|c;`}|}FD|!D zQ%_!?wBIh9UT{*+0Rm%8vdd&$9tk@m=HIUe|u!eUXYXMR&i$x4IWUf%3&<}rp8ATarW#eP~ka-4G} zSR`&CO{6Y$j~C5?ohGw{pN@CsCoqAb2k_1fhYAJ|GtL&IUo^PDPsEgDQX>`@O@7l= zWou8_i(Q^!JHZ_YJ|S47-Mwf1f*i^SK!$rEv&MayHxVan;r1a;Y-va&`1q6N$pjj4 zMRP{tnl-=nwb#6lraNjm?O%d<)Z1GA0`#@^5=OuwJ2Oh!fh5VYe2)6)8#*^Uc;H{_ zi(gW|MY0H<)yd2kAdff?vup+lsR6)==qyZf^p47qCR$Cm1wtk*f?$Rcso|7~%xy=e zbQ+$d8Axd%`4&)QFx9_+aF#eJT0bsl!5j)}{ ztx+bksat}G0>AUZDK4SLZ!t+yAowort}`MD5h>z1koY*bOEgJ=)GtVxuUA;ua{13- zVII;cTtJJD<5{Shjvjb6kfzd4@Zi>f80gDOgTkLfTL$BhZa|=(G&J0;n{5X5B0GRs z1Rv>3q#je#tM>H8aX<(Q^~`+x9r%gT)=llVd)mX1YYCd(QUT78=JsxXx+is~T~wTp ze2P3a>If^rNCQ!}q)U~~hFDf{{FkQcRvdm;Rqmar#|I?#LEN}nE)f;w1`mn5KY6C+ z&%1qtTuVATA>6Czuq7R>S?(;dHnjk`2R=qEz{AR_qG{czql=20v%ZUU?<(3E_!GFL zB;KYpbg+JUvAs!$bM_q4NRm+3(wAe~JR+M^phpQyZgb+=Z{0jIWUPA9l?|PI@MIsL z?tqe4JfzZY$`we9La;p-{^PG`6r@dqYgU?_PA6HTACU#AlpmcVooZf&{OA&CBga&d z>4+b_%LmA?uIg1o%gm$WTzjW$m}3O#jIVzI%I-gW8>lo%f|RZN5UJA@WS&;%wS|#5 z&$z3JbC0Z*$yr%%ovAmy=^>q*vnUs3-*{0$ikG3JQ&%M3^ppja1L_v{IEv})x<=8B zE;dJKI?f{*M9+aNn`9!%rn)BrMSJ(5tf#FQ>F-C0e)F#QvwCx{%iD#`Bfq7eNb z?IjsooM`I$NK7K9Z@T`&cN&yWVrHUom`-J=dP@(T-=4B2&}uz!7C2n^>4ejgrVD8i zh{p^f0V*&Y~peW3=p8ZNc~Nbe(`7HW6mo2m5^Z8E5b;HjgINf4qXV-?9K8Fg{7 zKe>B4aeT=j@M6(;DjG))XUTm0@SVT^UD}lQCH$FN!37pfDqShLpr5=<|FUQ*zamPU z-|bAfl*^ei@*#sI)cxvKnanfmmho3x+AFBh7SBIzA57&6U0Dj))CxoG>1XY`F3D8H z4t1<`=^HNoxh)r*3r&9GImNNB%{=!;fM0H%q0==U?JfbktLX5bx`alf;}-A2;NJV; zAD&n34}beWnn6`>)XAm;)P%QysP&e=xr?RxIhJHc} z4A`s%)ZEyy6!O{DO^^F7w_u#V_-4nF7dmzaR~kugO2^kiT+8k`8I*fMqz_pdxPZ_- z35o#8urldMV8L*kcWdSl$8+86Nc0kiF!sF~_{Gm4?znfwOAPVj!sCfRdNEs3nSrpQ zGm>5*y2%wHzmR|u4lcVfBgBi7B9r+Ea1wG}1xb?l0?Zi##vQ+k(K(HBx@E@xSk%0pwwTzP`7un5eh~RO5C6QO{6N3cSsv89$M9u{E zg>ph$Ma-7Tze?D;3xGfq4>mdCCd8!c$UB@mq&weZ|Y{LNjx+>oGcW_j?E zPMwJm=OUf4wkVQA{nQ2KLpF<>%n!30Q+y@zugF|1O&3&F_3I@a#!ul3#yl+mNks{TNC26KBO$gh`tb37OR@H{sKr^!um(UoVls=h>QaPB=zt2dX zQjT7vbCw`qVP4RtBh|tQ1Kd>Om~3he0b0hFG>ONtO+eTAScQ!npj?m|pu}Gn4z6KJ zwzgD?Cx~xTNxaZWB&ug!2Uz2zFGpAK*#5{6d8KE>0^=A9JwLpH$PUIT;<~zS5i@P$ zh=);Hq*p-MbI}N|*bb-aFoP@p1!i`H=aHr!{k>=0fa`k@jWY)jK*p26TZa~I_?(?Hwut+Eh^!^i9H~1Qs~OjLy^j<|CON<+nj>{j zdqJk>PIXN?My*6iiowkRxWjC=tg}%{LL-kcotaW8wUETeT}N)c^!}kIJC1;nAeAx; zNZj6YV!m0Z4%3o};XqK2h~$T|RNpvVHK#4VyOt@gM>la8vzIGHTcpMq_e-j<55GxHfJcIxKyt1<+8R zf}_DP;%Sj(D=AKCQITnHXwd=AF&)Gf41fpf-(R**4O08sOU6Z{`t)3bjA?W2(?DHw zzF5g|nxsK7t3vJaO{)(prX11gFB_H|vZIRw)RRL~G2jKVB^ZUvL}W9_)VJLIikpR} zcAkxus7ani+FHyMvG85CT8w#Kp{5*%b~OOkcZnz{86ayuwOXq)KgG$Do-j8mNYJH@ z8De6!7u{@6*t@LDJ>VVLH-}7f!8OJEQh7F(9ln#RY--dnH}GT9EOd1}%H*=u@Tyhe zZS1aw9Uf2MDWsh;o)oY!xEU=@#xwU@R7~?W&;7!iD$$wFckz+cZY=Gd%9U=H6hR|Q zhox>z&PC<5i=~;)R@Egg0I1T^Fg8sJlTQQzQVh*!k1=_rE$x`1rNnkWS+XWey8E!F zHAB;S7B*3+A<3x~C9kZy5&u9aVb{$F#BV8GD!E@NAD zh7o*~PLki@YK3}KY2MSOoLx|&KJd<8SiQ<_^vX!vxB>8Lwv0k!0?5qs7Yg9znEd@H z=YE`9rX;aHzZAOsmBs;ZXfe3u6a7po24DyPrtC0=FAeuYDztnS5WNBfOLGmf| zAiC&5bnpDduj$)DHT2u2#eTqULBPNlhn3^7sQK-}!9AyB-BGw5JKxqL>8$nyil ztFyfMa0+kyvmv>Gx5?u`GeY9HY*mT!v26N)1f@2&IC7>R0e5z!I=JlS(sZWN2)4s! z%a(MJ=4{y^oP;q5vE?v=8VA}cfT%2l6M$@@PP%Ff+*IHR9>~f!zoE`!gVXp(%L^5^ zB^{qY&UX0Xo6jKNgsA~BedF&t;gyH`6n5@Gs!H0uTz=ihPRmX~H4g_8#I1NVj7aYO^f7ayz*?M4nTR(2qQ|X?Y!R_!I zeA+e`#Uu2Qee+ZTYKuhveebRs(y#i)9XhKUh)O(j@b99nHk;1V|Dea1kBdPU5fTJU zMm0(C4v0szH!gQnsXFZ7mj&mivbLIuy}kvk__Aqs$i+|tgylVHMnik{y2jlPw1G^; z6KbX3p51M!uMfPV>RGWTgWd>RU2&GeMWcGFD%rnkA>J(wr#+^>R&8^nZ9%Opo@OKb z_gWp6PW)fNCFD$dCrdo=?m}!S?3wJJccKBiArVL&%;^Q)? z$2q`#u~f_nT>J<6PJ(|4B{QJIhzUTeb~!9~38n8H94D1GA|;yC?>MRIRrOSMQVoT| zcY$Oh)NxVWaNH_rnW|HjRg<_@p>tDBG_$A+ONys|YTJ>;r!V#);{v{A+aNYy+q!*Y8?YJm!v`5;^s}cs$ z9U8eGv!*D<-vm$;op=h{=|soDn!-uBqgEQAh~wpo&bqea_jsQ((o!K>LVHunSs_i3 zyDzt-(0HLdq^0vJv^o{{eoLiWI-N>H->i{IC6Wq3gc@T7co)OPVM~Hby`nY8y{gup zeyuoGR6Z1v8a8X|GyzR~%nPO5jh;cx)x zPE&iS0bHC_SkcbEXTsDknhxq0ol=UE_sJt>Ft2b#;@}=WmSi;3Nzjo>cH|cO{_N%E zt#)3iYS)Z2i=6;{qQUKn>8{-SZ+omFogtl~2{ZOg8CypLzq@*~(k9xX)n6c)do*tWCq>27sZ3m}SQ2%(u zMEL72(#Qa4^zjJzEelBMq9Y8IhFVmohlKHXG{5x(1vacyG8ei>g>&sut=BE-d0%(c zx>rb=T|KSf_)$^Es9TW7_K^b(Y@f1=VRc)ztyX4DEgEQ!@(U5}+6r8$Jh+-oB#H}3 z!#nW6dM7$_rd2>HvD(qWsh;=L8@LQ^kuzpXecF=QV>_p%7tGl-Ph_HilE6E!5IzC% zrPW9$K6G{377+t5`d&qoOm69@!d_1E;%uuu+HKLF{hnkMUK67mnSa3tISU^Ss7uaTFV!7%TVdq(CAbBM6t1ZF71?dpL*mk9XWF_+)UlG%0e(#6}lQ=LkT}(MzXuEgi!~l#wRkWNN%Km(${ew#>tIrY)Yctkg11T z0{RC!3+X&Z()sTy%&2mo+WN6t&Uh?+)#UOSwSx8?9Fs(j!R|`U(TXQc!GW@A)v|d~ z-qgKtHtry@5&Z&&eOT_cP0dI935YHe(H;9*!)V3pF7<@E%JU*~G$(983qf<93TEoA zCCy}rs}BBQK#f(c=`%4izBh6f-E)B5yrIZU95uA0)3muE3fO_+8QpE4s=D%SNz^D% zvdKA^?KmgcpmAg5noi!b`=v%887EZ3DmjNoFthiqu-V0i!I{tKmI(+8qHBZY{6s8D@q! zbOsmWkLF}L=z~k7rnyCEzD|Xm;nYFrpZx2rR~lFKw%iOgR8ZFOU30@bMH)zs8kkyO z2;WRt-&*_f^rOpGfqRE5xqJI_oxMeFT&pF{BC9L!=@3FTn!%+NQ#Z&#{w-I32!V9% zdWbe7^JM|Jr+xur*6IowYV8UJ45zF?7_q6TFC(XbNJJOwwBS>}mJQ$5PF=f*<~(4# zal3uR!0B=$$sJrSU+)x>Uk8=cFd)X8qnY4~TiV_E{a%ai3U;12SN=Enms$kGV6t z(yQI*kPg0|x?sCU?<5Rdev*K`X(?gY0+Qv@$dI`#4U$=(y>?5bZqMq)1hb_WKQza3v(A&BCxs5 zEfg6#yNWmaZL`L8pmcYs)ayMpvTcjo_}RC{2ukW;Q z>^BKKOMOj!hy8iA;Y46W&XNrpyqxc($55Sbbk4qF4}BdgI$L7cQuS>*WcGec;V|B{ z-{F&c4_9=Y{gCzC+3x2@6S^0kF>3H93f@MNOToAF-JidpENX=bj-G44lS|63ilgF zh5NtG(p0!#UHP$1U2lhob{NkZHQOh_aO&k*x;SRqxFK}11Y{)b!K2-YSX}DYQnNzF zucd>hk4+zKP&`fDv0P%`nLpdyx#s(61sWc)kZ{Tpq-m_iDb=wfG%y@Fa#ac`&>wTZ zu4;W`tFM~jy}PDQCkeAZGYPLGx*j{0H0J!=SKqwh8#aEz9)B`vHlRoFH{(zG8`e@h zB*a>=k?EL?(F=lyfOO?Nx<}&ZT~)6T@c%$+$6es3_uditZQ4eyT+*ybd?T2(k?#sL zSW-Bf5?*H;CgkH~^?pi*f{^+EdB))>x?}6K(%4Nwnnmf15FP<5y}6+WDSR43`0q7+ zw`|p!?9m6}^<5U+dnU(<27-#Sc-|}F-_()(A;{gklsYF$htQNg#~GWe@a8;$I6xazV%9EX`9MPkJy5S_ryuTP6Jq z?+rpFzv#_OmZ%CGBu1f_DDRgWFAOeva4C&6nvfS*Y>QF+Knt-5Y&i_#i(UX6pHbGU ze&8T@+A%SBzBnSe-y==wY&;f-nT zsdySBTs1(|JWR9POVWgveM}s4>Jl+q)NTSis@x0HJcjFUTyVQZ0N3kC+D(eEh`lt< z!vB{E3XN znM^g`dZ`oZx>WMsCKDJkD2B`gfvJAc=eJ(yr1Ot7#fX0ioor6*t?7w|V*nQ-C!g2C z{{yF(3Ty5~W19?GuIq%;@NzTmkrNuKz#@<$!1b*?B55uN7Y*{6X^~Y8;E|ZXvcYMI;fxRo?m#%x`N9JuE56EhuF{~wJY-x z;SqTV=p|ETHRkwv)Ctlpa?|rgVD$(TGTN$v{CS2$4csAUi)+YSCn`F90S%n2frHvY zQ#NGskxcY}JS(*Cd);zaz;I|56>jS32k#M25NGPo6V9>f87>A}ei|av4Xk5d82B&J zIXlI~CnNQkJ6U+}hhe+3Id}6JvAZ`#Sz6r-eFQ;dGbYZpnQpUREuJh69?fssVaQ3+DDDKBx(ifPC4erUs(b$SW@vVuWnI%nuHrfhzB78a5RtP1XEeflDw-%d; zZ4LBNLjVpll!3NjwXN}B)?Q7#Ekw5_-4Kp~k#NMU$e}3E-oOcw)(Ej~)-QH>iZizR zm&Q(1;C+=8(*3Y^(S<{^B&+#SwrA^OdXC9QV);WBJ7gLK8GVhLxQ1^isTcFD#S%gt zBRY~uAF{}ak;9LJdEs>dzAc9C)@m8|BpsJMbtQQSsVgB~SP`j@*_kbb3yxn+r9895 zcE55bj_~>l{2SvXM7GC@s9kmqFHpqw#g3F!{a};KXD*Hbh^7vzZ}w+)w{q)q`PvqI z!GC_Wvbq;!PK>}ekHOO1$AP-AsyH{&%bU~=6n9@GVNwZ7Dg2&UvfMsG`8A2Isp1{Ap9!SzOo{_UG%ZR%Gd)qe3U<{@g zHf4~+K{6wAW&Q_Z?*_Idmdd~pQYrV{Gi#oBp3P{E)?~qET^8Saw(T0q6-xk%7v^D_ z=5%J+1V#(hYS`G885`dT*}YHeS~G{VwRA?{AHpm_fHtjBIL+~~4?ryaq{S{($A;t- zx}SEphCPzuKazM7`CSX$&BHxEvI48+j`4$Ghh)G{AU+&u5q0qJE6?6$z@xrgqN%U% z$?~9Lc?4p3cYs_I2g(J5=**!_NXU>P6&TzAQd^NC);Ds8MkXrU59wclZ~BS8CQ}8l zi?k=>LU-S=Gan<;(L8%&=64f@K(-4ym8KVDZP-?QbKCuNia5;vfE_vQvP)W6)dBv5 z8m^`L$qSHKh1te_R9Ac_-Zsw_AHVDJ&;inq=X~gvWNe{m;=|vh@7V?Zgd^OV(2;4R zn6MP(*wf%grG(@372y%Q4a-W{vMxjNi? z^4p0<=x(aI?D#6XRiwis2k-e<&Qi}g>)}28nAZcsG;m~j|Ll9e_~ZZKuX|XJBnq41 zzz(iKopMgEr83W?Q9<0miJdlM~R#YB8{qc8x{f~eBf4xoOb{Ecy zHlP6^R~w9B@P7P@fAz<|^F1>J+Wnv4()%)j$LbpjCL_8)Km7Rb{`Eil8~@Gi9z?f$ zK>PnfH6HaJT{zN@KmJ?4|4;w!Z+sCVm;>MpQAfVPv%$aovtRo4fBs+p)@?fR3!|YT zL<@u}CM3W8(f{$k|IuIk4LH6avDvz&HG}6rYlfjI)WE;QLrz6z-vPi>G{r)IXIXwE zG5d0~&J{_lS7~|m{`r6Z8$bTFzvT%|A9f4U2n>bv=IGG;R#hJUWgd~le*d?B{J;He zL}c;KPy1rsG)Ke-B`=8VpS- zgFv88C#5uHBcF_h2!UP+@af~RFdSzNrc^?gg#Jj5IZ0Pm}k-FnufYxX9vp#jKcDNnjxkA0I)XHp{(EQ5rOPHxc%q1}?X zR;!bCm$9k=+nsHhW2av>mmMv`5-DaU6496JMi^Q|;#mW;mS3SzSQL`Wk<5GbGL^&~ z(`Mkd`Ad$5lwF%lcE#7GMW92uhxgH}>IG|y8J&E_3R<5>7n<(jHLj#H3dNklr%sM* z`{+X0eBM$jS;CwN=M#T(iYr?465*%+=KPyqd-Fyek9DQPc-e&qTgsm7KhnNvm`{KK zBwOjA7_z&keYkSU_jm>0l#Keu?pA*0#bidEY3TF^u4t>~)LGx><~!0EoqYv+u33{> z^m+XWg=oVl8A-|G?3z}g?o9KyH&4^F|Fk@k&XpePu4VD<@=sOUBY)yvVXrRdl}sxb z&%D|S-krpozLYGzSJe&;+A>T4&j*D4ATkdKuNKp8j(0qWQFy2%hSRMZIs(M!rtyGD zA3peSn2a;s-bCPtICtRQbzGBg!r$-7lzZ?2ZYIU6#omRp2`$f-hW@#iKKKve0}+gM ziO&bb9$IrRxOX5)Y9q8=xdg^FE7@lx0lK1b9I)mC{Q^ckI~CB{0ax~T`$wNN&%o)Y zJ(qgY-QtmuvW*8%w+)eG&XlY$7l_%b4%pB|rZo&iM48sJ$0v}do#;;jbSzK%e6-s5cdRJ~Si+w9BcQ%UsdxoX_Q@YK||39NBOY%l8f z_4dQ}X~dzJ{9fI_DV~-+(swW59otu5hyb<>fDb&W_PM&Gz>dcAF?2^obIiWiP0LS6 zofpWVJqG-37&{b(hK^JI3F$5o?ApV56b?^Uz5I{As%Lv!@;k&y{^^d@PQz~^dd;ba zYE!|%u;;`Lb>r>5w{%7THS^vBFy|i5?zqu#fVI@P8}&ps@4TE^l0f3_g`FX($f8^- z2a$1P#=FQ^Qf=yLUZ=)Q_kuvLFs2?b2PvxjW%uMc-0K=xA?T3ACN}y2Aw%Zmw`SuV~3J zOnT!!*Kk~Ko<7>~J=rvvw3d3`e6-8sAj!^st;Yxz9pD^BCX;Ge9_-Sz?C5lQtkfPQ$9BHUvT@jAR$EuC*J|3GySLi~6f+E=S~%j=2}Rorh>yJZ*T zYX1=u+`5#rsgM@lY!$GP41w9S^p=mrI#HtP>Q){7Tu6u95sC{hN$Jdps2{|<=q`(zU1gffixZu!!iMN9rj{1_- zQ}40VzkQs-SoD%g=54l!U;FYDfOEXt(r)qzJHm@Z$o^}#pTLL#N2L(3CIV58i%*fg zm+F%Qss+jK=2O{qZLv zlX#n<{ge%JgXqD_+9}dDw3{ui{6CRG?&4p)yM&on?QwE^WE8~Po9%NrCGY|IzWOu* z^X3b0(X6)mqc2=N^7&J;SWbs8HT)>>`f8`z>dUboxYK2=K1~L0H4os~Pj7s-u%p;J zkzLV#`Nk6{8w!B^AL0B#osc>&DqQ)A>Zabd>OMtkZ`957hhM64PTLvnC#z3V4{p>4 zN)c(P^(QXeYYMSXYU)lgEW^k4WVIhEFZNyjL9;y$JpJoO&xM=SL+^2`9zW%5yH)?s ze^vV9c#=1gg0X{%NFs z+vWuK3l6sTmL*x=OVaw^^9?&3@1WNlR(KgK3QjIxeDQh+?k(~!UN2=>XQ|g6aVOhy z#M8&>0miCGy%QNYU#K3Vc_-2y9Ow^jgOJU$al5IOTU_UO%T`qz#0>R#NP*`g!+?K@ zij1NheTj;U^&NhRiaz5u->3*MT7mVssPylX{E2h4_$WwH4gePk=nf3u)(P03pf0y? zQxsSk@gV5DEO5UGaPV)sY2yA_7kWB^enVW_Kj|={%PKKSr}(SjDusvO<392@ua;Xk zNNiVCw_2ha-vlBzRf8`cDlypCo=n~HqC%RZEH{?h6>!tBBLj0$)eT4aJ(o(7T{7|D zqJ@;7YR|6Xn6}F{GBbSo3snN|n;1*#mF=M_UF2UBcN?{aN3JKV%5GG6toH7DXwSRL zafcV<9&4D#gG0Y*;P6|rrvMLyikfLD=9N0KWN7n{2>z-3#N5Ct|1)3Fj`lj^&8DeW zwB6RYeFoU{^W;=dhCH7k^zS{~=I~#DoDSi9Jnr4lse3Q;I2C6IXZg)QU+fX0cSk=` zZ7=j9c7>;%QW4kOJNn_Cv)d%}dE&7b>mB`luan*&dFHWf2lwuXbS|8oCZ_+K%oDT< z_m2LRFCzACCoTH9B7=thm5-@2IxIm4CnWd}Ao;%U{1;z)^M)O_Xf8Jm-^}PMd%$N& zxcaK3wE|?TF|Xs3B5v?~1+OvobT;3qBfm#*B%1LFV)r>DDsYzV8UA^+`ebpkk6y3N zbObOcBfKt<4@d(p%`+Be0$qg62Y@aME&x4(qTeF!W63^Rg8HuE-WX=p+YkJvfg_A_ zz7;cslMTEZ_vHqT+(C4SO#<4V4+t+8ggCzNYdcw`c=^Jm@vRYDbW*MiSGeXqR1Nwt z`#OxNokP=}D&*Iqhm$QRF23eDA%kwsQP~DiZK0#H7uWIt`0P0eV1h6X;&R7o$yI?Mr8fSPpMCQN zX`(!21!X_05yuY00)R5@dNJ)~@EiYppgrf}lnCDW*+ZN=2^c3X*?G;tD&lSL`biBjr)Ub))=?rWTS9be>_po~sX zIB;%liO2o+4?*jiJj)@5FqBzrpyHG$Vuz_Qw z6h;$xO}(L!5L1zvN_j1?zBQdBB032?gO&_p1AC?KuH*_OV+WoXWSNRPo{R@yV1hHe z{;Vn_&^<~LQlJg=fQgYpII%-UfP7T$@dtlp`K)%HMo^Lx86wuaa=%w@wV|2m+Yi6D z_cVYJ6$u{vf)t6=tLhy9<*FT>n+Ubsm1p@rL9XuDD@jZkrWDVjt;nN{mx@3L=-@vO zv@M+x{&FT|ccVpnNBXWV2-kn=4w4olsd0(G@rHdhn*G91E0C3scEt_eY-vRBfgpkE zPF4S`5iO})^bizOj-6qaCDgTZNp_0?U6dlM1Vu9Z7S=SwT({*!B*y4Sr`}ifqsAMm z0O0h4zW|?c+9{MShsIJ|A+3l_hvCEjQa-yIynWW?Giyy!t_X;mF(Tkk?zwV%Nti_z zKxZfw(BUKR!|z~&ELWu2(IoGyZuQ}J`@U*D+PO{l;s;I)ortXM=^TV_2Oyw!XF3R; zfdeV!co;dEG1#BTXe-^#KqgJuHX0(G^Bb1}_6qkVG+2cUFlnWO&vw5x#o%0`((mJ}E+xDFfLSST34nn|90{?IraJ)Lm5(pe( z;~PZ>HfH0mOv9JeBV`xzHU#vxQW6@3EWw z66y{@YFt&V03@H2)2^K=Q!AhefCd%l1S=uD(u zK2@q4)`catq&-eaTTB$}aTaq<(Xenqq|agEH{W8Iwu^D{?6w1c;+3hthXhE<0XmfS zIxh;5@P*gZ2gQDiK`>*LsSi_|=8021&E~2YhyUUGv;n&xes?25^0vSjDp(U(`InqX zgh~dHffo<`Rvn;sG#db27+E%CTA&eqjc0$pwYCyj zqgh0gvK<)MiIlpIr;=DpJL11(;-TTDBknnpf^e3qwMM?sx71Z2uyHmIM7C_$7Yi!= z{U4KblyeDyD*2h(?gbp z6Xne3$X$l&{RnAejNBw2`|mgqGkgf}R6mjr4Aijf2Rbkl`x1i9-XeNsMaFX3E`e#y z_!6L;`|(4XA;;6Z$bW}OzmN`oV5yFjHHdM1LD`H#Zcgz?{zT_p+25ocP{#}EHR;|n z+8Xaz?$5vx#ueggD_r_PG3-o+%GdfH5Lf6JMci_nSoC$a(Si=+x`czd@%etS_c15` zLKIdAkPRfgd6&e@8Jbc*$t>!LP|ttT-X|IN-uEAJTVhfnkKAEcpBi(?t2ged1ft@{ zcwW3qBJMTv?@VMfoq_d=Co~mR(~h`hUmu~?%I+gg`O!NBN|ES9q0OLNf*OOLltCeB zCRkJSK^j~13!$$8uNOF0i7j88eDN;gXtIYewWKrm&HTqWDIp^fYa ze5!vsvqS$~63G7I+wvzXHR9z{T01Y&#o`dHhr{X>83~hjh^(ihqDXR!Y%ZH_^5qx; zHV4Ay(3XtC921DYfkn-z&HXr;a2Z{-aPZYFd_(|KKIcNRX|2gD{PDm5iqsA_jYrZv zw-o@e7oSKvdsRYbTJklUVzC5t`{Fevp#0!F_LC zHe>o(-T8(ToIRd+%G<{@H9)iK7Y}h_cRw-;z)y$&F{S`1#UAWNVk0{304><$8zG~! zqq+E)=p>{afoAxSgqEBai4mP0seyXccWSY0K55ze?+~IL;EKwkX%emjBxLPM#`!Nb znOH|OnIUNwfkj{ENDsi@9c|ykiu7Un%hfSfc%+&&^YStcWZ$9>B5Nxz@@e%0)sSQc zhg*wV`JRq#JV@CLkCCF&XPh;}v1L$PXk&>}=1mgXl32`@#abKz&IHR{zCFM?|_{5l@2HA|05;{{`msg{}jFhq@l6fki(Y zWrnPhsx+F=muVt|U=ruEha|C^h(@u&P5hxe;r4#Md{)hhtgTx_X-$$i1b+IEPdgXT zugr7;3PZbPlb|5y>FW|g;!S!);T73~ABPsj#H@3U_*zu!H83$gfg&+CkpnY)NJG1m zsgVnKj{{bLv!|n-(Jx&ZGZ3!KzLfQ@r&#IzJc0a zI-&B`?GJvX>5yZMeo(aAw*!J})-A4cQIJ%`@|lV*y!wZ~4Schj$}PQmSOVyxSxPDT zVdq4gV+k!Ta8JD$7*quRNFjXbL<{d!HtmN$q+%zM^ACUMod(_zPfcqImdFa?kmX*s zp!VT=t+)6G-{Ghq)2{{9brRA;(E0kq_sG7K5_PFdY!nPBC*@~U?}vY>#vh>0)bjlS zu;LxU1yHzcPEMx0?GJtdcjwz5{7TP%VG8LZsj*a?hLKz6U&@t}ExavQf*WA`&>Z<6 zBrefkXbzR?=wwR|3Bgv<0z5n99~Kn)T#9b#6DOl7`v>2V>HC!x|AqOZkED=VJyl&P zy{Y69rtF;zso#G1moS6{I@9Zaz&U&_bvw0et2HoA{(^CagKrWfbLbI4)b||0?&w%-fBZiK*SUe{NWu739Qw2G@TOGK%EJSXzjmw3NR zG{rc~Y45haOt~-ol?OvPi-@)tq;hP~u1kj#sumtuiv@K$PGz&F&qI8{KwPwI=kW3h zLfNswuZ$gWa*vGHoOm6@veTlp44udq5fZm%vFw(SFSWqRC@jJ>^om$^JLr}Lk0ABv z3!lD<&=w5jSdT72rg#7eU~aUB59EO+Ge$@&SuSauv%Q#P&VM;V`RI3(@g2o}mp6HJ zf8N!%K0ohTZz_T;c~4s(n}|rEh^tg{A8lTYcNH>`95}Bl`^va?ZnIVHy%VzA-J(`l zYyuEdnp))weqUtoG{|Uzg+SF#%WX~dc;6?pqVKNj(MG}UEF86ZKvDpzhd#*3tOAgB(^!Vt@prtERddcHbhy@mo4+o~jSu`TM_#^nRg7nLS_L(0gEME;ng({ zayl2WHRAn*3Bu28DnbVn@^Pv?F{EaXrpJ3X2_K@*+=;S#r|8o-d&oYUnoi}_3JFi> zycKde$^t~(3lB$}Mt zV|J-^XyRtf+*4&o5zgSe|#X!>+2TFD< z=bpd{Wy)#rkfPCLvj98{gp4~AZ)=IdnK z2yb%kl4*7g&9#`hhA)S2uVhMIzzRqn*kkB?xG!*u*=}dch-c` z930VHp)H4#ow&)&SQ98Xr1pT<L&j{= zz<)c?0EF<1?`(`Y1{Xwu6nEyU^Jq=l7=;FbuyR13uL<~0TLXHLLJi} zZiqb0{s;6$vJfU>`EpJ0}wdIb>wQf5&452e6zSi8%KvJU%XV?Q^PKXvw~I+$X4);obS~3 zU`8)Kx;pO)lT5ul(21FVR@#;4i*f1nF{A|{GDbr|m}#1|Z)Mri3D(&A4QTIy)>AhK zrm^RLfK#di^_{Oe-A+_5PXnJ^_ZND69O(Snq7Dg8B^?ElH47F^l4>{S4oQAy(xj8Y z0RJ7gJ(wo=5m%gTK(mR=cX%xV1U|^6V*>X%ijnyBnZ#zmg$Edbv{~}dG(aNau5f#Z zlwA&;yofl4=G{ZR=cm>=K%(g#**J3X;y2C0*TMrHH_+`3mC9?w`xw*7Qi4=S^;RM-KJbNa46-B3fKdPdFyor?7!!_+R5?OEIhW5M?>?i zgV&#y9c>>!`~j)u2dLiN^Lf8(P8AsjVz07MN5R3ZnWL&K?=x7dZa4L1MZ!t{0ub_r~7eTpsmEf!bVjSU65Sm5it z^Cf9)4Dc)d^C&jvQRrw-hqp70Xi?T& zl4-b>n#>9jo+|MK3bw5z?~D8;1^$dllz;;fZ)|{_2JpAM)_WYh(urpanSBSOnv}d^ zCrLeba*s>kighR6AD(j07he)Kj_FJr$S!L49{q8TLF$+M(-STESIS`l&x$2pxnEGn z%v~vxWHRm!EjO2a2e-VZZEtiX(UD*VD#wtZ9i#Kc57#G>)p=d_XWqOKz-F?1G=!o$ zDvm%P>$C*Zo&XEP!9C!jyBMmvcQ_*(Vt*t(gGs~g4M(KX>{P3#Zf=d4G=~oX|1lwhd%DUmiiQ!J_p7Xpt)MfHs>eK zmzW7j9N`fpi;Xg)b9H}>HJwp9)W0xA{lqOXl2N}WaX2p8D0`^K0< z&>NEpvO+s+sz_;>e`F{@ktB{N8u}rZlPMbRTbU;%jiNP>B%*U;I4rHttnTCV)+n1a zjx`o(=!_*ra}yuA6G!j@VF_plhovMH^4)KG=IfcBXSdOj3QFdGKqGbdL1qn=7I!~- zdSB^(5fFFg-M`=r$&Ex%BDby17bv!jWLTrFCO~T#Khl?8mvr*NVbnPz+u|TLVZr)Lrx~q=9GG9RvMo!h95Tb+818A=<-;*M=T9NwA@LaPlRdQ^*cO{SOeiZAw{mFL@n0y94eHx{(oU7)tw*5>kR8 z83a;;ipMv9{2G6K$H?a>u={GI)ASK@IThDck(+{=q|U$dr{26dks&RPrDN)JeU%01 zE4QL?koBT)f6*NuiXz{+SnAhk1GSu-z7{X9i{@f3HMm|7+i;#$=R$ns7|-22u| zy(IA?#2$?Cc%}x~;Tp${f$ss~eR9Q>Io7q}u~uPf^?;rub?S_alC(RPjA`IM$GAf)ZeVxJV8DKkp+dRyE@VqofLKC3HJ z++JX6vT?^eJhGiJGO+NHATDx;!IGY=Bt5rT7=VRlSd5XR^O(frxCVH`R3=07QOh7DL|+n}PO7RmmG5kQvFe+bfPPYzF`k4)Top=A;tC29}pS1moNC58t`f@ z4`pO(9yZV0W|%7IUXYox4JsW7fl=e3J!R>(tlK)>nusqk{-GIJOpO37i4J z+pT*>VW$<+md8@{66dc!UiGxba*}C0m)`62X#BTx+&1N*dXESVz`FF*BoRAqxfUX; z?*fD&$a^mBko~X}9p<8CDokY&QZtoZ(-C@Tyj{OuONkWO8uNQ&RMVkgZ9<^bayj># zq-(~hdxtEr6S;k}LTEVbbH(@h2l=HZ&4j~a`t?q?6H{I3N-XUloe1wlh_s?YIzKMc zLgwzSq~^Qz)OJ?MR%dqF=8xbEuUdxfknQdRQScn1fwtS60JHgVUenV?(+? z_Q)Ai`H;p?B)2tR?|7#*8|S(fLKNn;vS@E}LM|A^58=pWUG$N(xUv_R{-xS9 z-s%0?qMiDZ7j>$zXb^-?r27k=gtIOj;Oqyc&$7Ey&j*`2NnSLg&dMkode=4k^H|fp z>qwBvxD^=+5$&_0W>#?VWm3>)*Px zo716rhuAlJc?gnv}wKu2j1o+IhX~Ry{zz;+Abw?zPP$&tkZWs4-zJ z-+j1;MmECE#Yf($IXHjr=ia=rUqWnuj>*YmTT6&6UqbQ4sLm*kpB;F)6Fs=rEo!{h z>DT_%%q;`*0&j{+!aNaxM|)Av>I(4lXY0bM(39SMri5Kf0t}u+{3>>JJSGNOL?`yW~vF-Cr=I#JRZWQKn7th3Gc~J zn_N`1wP@0?T{M!*D+r!Lt0SINjg!r2D|KoC7a3_npNaQw{ORK;Xg{H4g>(alZr4;u zUdw<1?dc^6CJ{W8U4w?mcpmEE;O;(rw>^INE~#~U94A$^QB+tc-8;A~(dqxr&E^W4 z44}}&wDBx7P(&psPVYHu)$QH~v^iJAOxgo*?|Cq=8AQ!oG4$J3bynx)pt^Sfu!Z!s zC$~FRw02)?0dXw-wkijN^DYp1$4>@rrL?b)toEC$!_3P;0hHmM%-=1N@T&KSsOw7P zGU`5Ii$Uxw@A{pOYQA2u6nfs8liwAb>z z^(e!7=>SA#WLu8AwpGVhv{k<*bNFR};IM$@fHV{>ERKUgCn0$zSyCrORvyw;5?i_t zzeih2|KYp!Bb{wK?=kerwmi~_L8lBUAzTsT$UH{9QMAQ3I|QaRBWpG{wk;2qac8fE z$9Be-TwZX2`*pR^E-$9j?13c3yye}y1rjZrfWA7uw0{Nc1-y56!}hSnTki;>Lz8g?hz(Tz zEl@mw+yTcIn&vGjx=8hjQ>f#N-0TeA)x4=_3dBXELoCbv;2wv1w>UVXvt5aWetU}|`&C1m&=EE))PTou-CMFoi2D`e5Kz~S$Xj7JWlTtLX*$}2 zPnXyrGJz~hs7PwmAl96VqAh`1g-@z-JWI^(k4AL|sL@akd0N1DAUka(Qc5g`uC0}w>6nw`!_8vU@`A(fUqrjV*u?$58cp{R|N(FQcw95H5NwgNi( zWu~Yc9jjo&+OT$-Y2s+)bvx)9>%RQ(Khg4kd5Z`#nk`Ni4U^4MYOd!HZ;&NYT46BV zlD_0?Cana1!f6l~*Gj;-RJTr3T3$Dl8$Ci}^WWpLvjYM(ahJDmB)Z&V=lKShO-Dzs z`=J#0S$O>!3AgCjJXm}A>}q*kpK;)9Xm>imf2yg^`y*ccKWSu$hHe%x%1B`ubscTC zi+8SMGS%KhYS`d$*418>oe+O%sr^@9d+n*CE%9JNJ>QqOx-4IO`;ga#6po)-52AI* zp55Nb6(AU-o5j`j)hle0CTTc-6iE%a>x*{%h5!eBP{jf`sbN=^=B>z(jq@P#t!Ip4YVx2MUtsn(Ue+AwBL=0&&Zq<$FX_WMd^=vdn+ z?av)NZ$T|*YW&pVwd>u~AwTwKuP(76bmJPIXMk9i-0oDI@tsP|RL!;@2cB4un*$$44`A zBweak(_?F##bJ8uIfqEzeh89L#$NH-OwJy9lG`%T%cGnj#pHV6Xibxu_)$8007}dZ z%(+&({E`?krSR2`*>6MPYwL+6KMtAXt5Q3AHOgNRH}l*nPjF1KR+Ib1_<|g#DGmGo z`s$lEo9F82E$FY%tG5ca&+`^8uEp)#u0I_Uu+bSG%D z9VvUHHfe(X6+!WJwT6^PwtJr_ubZYPeNdf|qfozM)M}?k$bLu{)XI)*Sp=P>%oyOQ ziEr(Oqz* zoJxf*cRX;`C0;E7v{WL+okh(qmpgqkkS&H}>#ZVV=m1B}S?QEY$5J|V&owNV*jR_N{!HWv|(DhAHLs1ABEEYQq72JW_kpXW8!qw;s53BU4Eq5 zl02bX)y*{H(`f#HK_i!3eQ&0^I-i>e%ejR$UN$#8Cw|hvY?;N>hZOcR<2B5#MV1 zuE9k)cEGc(^PV<5a1&Jz&u){{%Zfyg3Qn=>P9QE>cfz5Af;2a}(P?c`=_b3^5!V|l zg~sItHHt>{co0q1hMKASyMvgI!8aBuDeu(qCyqLotba#%WNXp-P5YC4p?{YzbgA*n+22xt9b@D> z`ISF5I(F<-%~6L0ZqGEI=7akFo1%)M|1#C*NBeia!WE&j}$}Qxjn#a zXb^zanK+RU1sw?pb2EL<@4=4}TyJxLJ35U|MoRTL=ZSP|%Nd(O+=#)}ud-mX2?{uR z{>CVISI?h#fzu__h>eAY=+EXF1Vdd^2H41>31)$NqggfZRx_gzka*~zn1e{Z4yTnC z>rV^`S>ksn4jlyN!r2<}63hWdXYnIH=-I2)sQ)$?r5`3&UMRZ*FR+QnF|Sty-SizU zVKkM@Cjp$xAaUp@QKGP3&;pv@)j(_BfdT*zMhb8RGXC-RII@J_S8INDmjtnR9o|m) zF4!kWGEBo0mf!uv)HV;K|Ju|^X^cvx`;CIHDa`rLG}7Ux{>DmJp-!v;85IrzFqr_o zgRk3a$Yu&K8#+UXDE--W?B)xDmHaCoB3m*vyI=^)fxi;{9g86(j;jPa=hYI11ZDV)dQkd=}vB5AcdZhj>2zlrJpSLFtMSo54V0$oUkq zwcH$H!2rOGsB9f$#sBhW0A^qc_MA)j#0FRvoIN@k#GgZ@#EH&UEf%&##Ab`Agn!8I zO}>$bS^kToMBqKDo%+nl-lc6}Mig3#E}qhKtidJ5jAP;JL)|@c+LsdH#b*IRc1dhh z2yPyLk%Ox;KQQM7XakCH(~8eDoHI!(@nJ*oTm!Dc+yReNi=KM`XIC~Yz`KR}P>-Gs z)B!YDw|njJ{opvu0zWY4-;&HNa6m)4cP9X{oV4y4QLI}RI~p!{q&O)}$=?*+YTsEh zAX)wyTn#rOd0IE<8??Tp!FY(8)O&Btuhz_pCl=Yv^~)v;H-qtTKa0!O)#zeyB1y2;R} ze{1k7B^{v0!zPEbSsb2F;)%|JpFdt;PV{XnxQnV$n<7QaaFwhI_{MLMw3>D%E#!S+ zAxqufEC2;uAi|XnF=c)*@t$P4aU^7R+LHy(0|50PDtM>NNlpUh^yUKTaZlBd^BNv6 zJKA#QsjTzvm7n}}RZia?iu{yU`@APQUm~ap9tK{JNF#V2C|ab!;1=@AEEpPppbv!o zmNP69jZc4mu-Kgs_bQP-tG!OJz?3si$_+;?Jpu%vkP?=+xmAy2pw72>j|K`fP+P}Z zrA1?&bJFhUyyQeZkiRVGy%}DrtDMA8YLB`~ELWyBguAgLPQ4^NmKX$llxD2jBLmpL zCkvGk&sDcA*tPI$Bif`5;UP|$hpIl&MHB}@Tk@}y1ZnO*eN%n<2DBLf9=mCzo+FHo zkJ;u00CEba?+0@uF%fx(NOhryOcUrUkDt~YZKM294BZBNM`0fN&MJ`WU_;W>2fWLe z7j^mRpH`)6e)^{*uzA{M4ojpmiqCL8lh=F(y3YOdf-QqDo*EQ zp|odZn{NP=0`BUgDPF+fqe((PZiqmmdjeYuYvV`_UV3;~wflP414#YYH;8L2 z=+2@8@NmKGW6RT(-tHAigPzbhA*zK2`nuQqj3j8131I?fx7Q0XbN`|;Yu{77YDag9 z$_n#=Mop8g-P-i>F*!sAF6Ujor-jUWr&Ak%uG4_`m3k%lBogFMaa~8#%IrSV(Vn1CiXl59ogMM6q#l+`ixd^C@`e3y^lNmXMfW?3y}-0 zwA^~Fw*}k-Ns6k^N-}7kiOz{S-gf8ue4(Axc9*X2%=0BvXF9E3FT?iWX9StU0%nh$ z`O4`uh{exvrpF^1yV~zEe0*W6Kyk_oY5}=Z*b5(iK>J={e$7ixbE`45vYylqD;u`7 z?CICyd3HD*5vOZHSRtiT9r41SDV$8lyr;7a5GKS_kIw!aE}@YS=JOH^*4(8{_US*X zM%E%x)K7oEC*pXqQ)brFUEJht+SBYIfJ>&YQ8mq6DBxT#MczSaB~Enz{eS+;AOCwa z+8@#Ycf~J%{3pshe)><%{V#v~??7byU>Ad|9%$J}3enoP%FF;?Uck7<(Jx`@R{n6NS;!jSixEt?;isscUsUY23P(Z<% zPk%%w*Yl@8qLcKQ_87t`Km8FYtASA+`9^4HfwLkAMEBKmRX&@ds4szxnxp`}6<$7k|&h=fC*d)}d4+ zlGFJ}Z5Ff^d-hpGLfX~>bX|p$v4m3;osp-0Qx+oLwbY5k_?>^|+e44=j?{7z%lUBW z_^K7(IvRi8nmx{t1Kq$EI-#tTBMnCE5#A=BK$kE zc66pA(4zgJBv--0+V$mj2>so4=?JY_ATtdOWDm<5eF`8D+Rr5%Fx16lPq^RHz!kd= zs%Zc)62=qZfOrkp&PJnwC@a#(loSReCdulQolq`Jz#&y_HaOr>RrTv4ER^v#G+r=} zi-2;Dxc{jK5%nOF9wavi&{bHZxN=~SqPA(XB7aqfAaQ_`9Zy6hWGbP+nbA6!#k@&I(zEU1 zl{(N!7Kk;Tc=ZBqi`9782{u3h2hfhT98z^yIElcnBbGz~9ER|pxKF=cy8JK)uBQX5 z?6T$j>=oj2Xzd^f37L5q=EVu4C47!z$21KDvI3sT;rxa~l~~HO94myaBEVdx+e5lV zMtKn!9rjWrjbb+}I8z7FXNVisiUuq_>8C$NW}_0~5W7)yg5SkteIe@)z&f`&xabXn zs*yLxY%bv8NCmTxynu|>aEr>iM>odk`PjL2J+AfK z9Cg}Bx@}0@qQy&W;2V;9_4zPiR0jx2J!wwlR{=s*|6Q_^Z zLK+cRbYlL1Au|nx^j4ff@4%q5M1(r;Mpo=w-c!JVr#Am&v`HptKMfWr{>y^(J!iZY z&JX6o=;YGDyBd%y(Y!n$5;TV}2aJdTKLgFmISuj90Va(n z-1W4}jt4Rd`%SMY1h#pw2l|PX2unlF7-Z#hB}#Iz`M&|Zb0$2WnTcxwJqzq!@nID)xQ9#wyfKH z0OZX9n+rhRx{_Y#Uo<4I^r9|VY{zsSRUyz!*p%&6ks?hO*pbuKWh7b34 ztQ(}z<$t6@z}ykYSvnR=Bfxm@joQ+G{97)c0D_k|!lAJ8MN{Wn{#O^1kHNZP2h`mX zaqw12T08&4h2%3T!*M*q-M#|s?u#sIy0}aJM_4N#g0=J;Aa~o6@p@Y(+m3Yg#~24m zNhjl<`;G4;eEG-)$4Q)E4f*sK`eM5t%dYq zo!b-(dqyUNj|-wRKm8{NUn#d&6p$m4-*@pI4I*;Fx||G_?`JJ~9oMqXbIuu@mY8X9 zxvsSEl`Ms?3VwjqTwF0p*j$R21M1?T>5oT!U%7nk1%n8tjtC<}-W=L&EmkzG@iyI8 zd4WsnlxGd}!{bGZ8c{fx4r~!s5JUu-!deS#=3L+yq#fWtxqRO__eC!ePB)F(04Zl7 zLEV+SRa zNCO&$$5%e!lw)I4DiR)F>RID-X93;}U=ludFwy{ro`HvPlIZ5;JfJi>bT?D+1c}$J z&^0!sCY;-;SVZ!*4dVnP1rLd4shDH*?O`f|RPr`367iK4IQ&5BhX#ZUxSs%kXdDS$ zx-N+=KJdj{l*iya*SJ)dHp_Z0NSzY2>4^H3Fb{)};mBOiXu6I0kZ(3;c)aJ217(Ib zBv~?y9DZ-KeF48VYIR^>9!*#yc+(uAZ3n^=!&d)a@Mpnm%1Z&uO*1^G)Ocmd(}I&b zUO$&W6y4*RpSf6Cg3K}b&?CDegp(*FS>q}LT$a^`eLqYXz zAYAxY^@AaNL_5GPsLcr^0kK~QBy$3hHHMmKfpbAZcRvX+X~9)(Vz&-XV6iN?UDo4oI-O| zf3Z&AU>~hr+U3{v!y#f&FWcJ-$8&ULZ&5kEUih9hkNg}cgf5*u;sw2=kPQ1o>fT@Z zkrQYFz7Y7g7H_DxBLj3002bNGPZ>CzypFVEKW1?ae>0SEjo;H{B1-@hvKl?)un@R* z(fuUl*qh(H?ZQ8j^TbV`1CDO^)Q{zSal_~AehZWxl#r)A6w^-jc)PxZtb>PfE)~HM z+;ne_5+y=$iZ^3kPjg*r)SVD=xfpxBulL>PmQKYyE+($*Sm2;nH)YOmM2g?G zxmA>lw1+xY!d-5lV65HGNrAi5uCTX!9dqMVVWqHXqR!M-n#*rL_-OrRKTU& z8Di9Pu6e>P5ypQs`D7dwe1lr6s3e63+)Rg*u528Ev0N@E$F^INAX)>$7Kyqi=mSmO z@dcRB4F^l#6KAMkAwt09(!D4%2^3rpQbGVX$~a;CqA@e!oEAw4fTT&D;6=(8s{tci z0qlh{a&{rl1D!81TP{eT2swL((JJ`G2s{D<($MV(tHzUuR2xi(gCa?Hvm*8k0{9Gd zClV(cn}jP8Kw;n>bFVvcg9G5xM}GqLp)rU-6$hl1B}Rti5k9-?hDe10QsVMQ`a!y{ z%a*(But??D>_!@KDMVFumr{%XkXWckoOmr{=OyF+{X%0z&2x6s%{!(%ffg!r3sBay zZ@Pk^?Qxx~!nOk6_0R_r3g{Rq0XI$hLdFYsSBYVu za~2PPNWo7I9@eL;Vo_p46CpX0PKicc@X7`EluLG1GERh`WBhkmr7C5cj>ys-++I(q z0BMe%e|WYrMvUAP;m*e0Ip^lo+$?--o1U18R?Rt>Syn(6~F&Aq)A; zTwr8C(S`Xq@Qoo-m4r?Y3nxf8EfVTSw$YPjO?<)KOW)XRg-YVcfLo8{djZx*5XY|c z$WD9%55w98AP0$3o9kIhyEZT3#>#zgsd=}&CTP$l9|m&KAs>ZU}h2^2kD;*ok(;yC+&r+=7jc9#)9-c&Ky!{uP3k#ZJt{ z7T)XICjVidS1ABlkkLV`ShQBEyd&*Vaqup`d8V7}Xpz`zsw0HI7LaV6Rh|$O+FWR- zG{_Q9GSKFSTPqpMp;S8+%hZ|iJUOM$CaZ9(Ny(vTI+V;M3ITp?xQD+sNdg9okWM~h zh`LS2$=#2f_0z#GNvNqPO=YW^8eKZ93dYe;(9tFLfckFnAfF1V*(Tc#m0$=5b$eau zs4gI%r8u835MsXnl%VkS*x^}Y>KKd751;QdsY9eZ_uxRM+nqv^bI3$=2}*A6lT)3z zNUlT3samgOh>0z1q0O{zW>41#-8r0c?9v~=neBPc)mS-6f+r7EgR6G`#+$*q-HT3d ze>+B3b`zcLx5ZDBl^;6ot4(V9ADqBE9j(Z*U2hSZ>o^0MTNs!F_$X*NA7}-hIJVIN zeCZWZs_x26+{1}>Ri7^QD1uphjhRaIuVX<=iI~;n7-{&n7tEq=-GM*~@23j55qMJF zX{<~ZoUN|v%vdvm1`&j_Xxn5Uu+ki~-s>z{j}kv|X5qCOQ#J8dv6Drnxv0Y@7c^|# zT*(?S_5O77AiTwF28jbdxmgJ8*b(ho$&Nc3LG>(}th*Wui5$zQSB_*^1RgH-l1H7i#3%vJ}V(>kkxx@%JrA)nhwcu5zp%1n^2!^ z6^@m+r)pddVGn7bA)6ghaMK_@0hfd~l%8<-11-TYLc02>+=+xAX^=+95A2 z9LDi1c7nSf+*y%l;M1Q~@bv4{Q6kR707$r7}rn=#-A@ zcX;`-!393)aBujkHS3b32B_7fgds|81n+9~`==Pl_+N&2l!OSirSR_76;<7i6{d$} zsUVn;c;x@|$JL^1O{$GI(gy!-Z0dAs{N>X(W&UcmpMKP|62b0`6+HgkHxQPE%$E&h zjvC-FP$h_4`gznH`Q#Y?@^6q9mA3-`!+6vmb5d6_(V<2!b%PadHj7C>{N77g|CYOsT8L8d=db!lRZH#zn>I>AVX)=uA;b$?U`c-FnFhB**QZqxBcItYRz z(V#Fpbx;>2WHwEWWHJ?CN=8z#Rnd`qSrYO_LI~FcunGtBfegH=?x1Y^W+HC z8(H$WA`{-|%V1x#5m8s+y^-|hR!vV1OA`JK691z{tu{9obFdRh=9skZPo>7J9->03 zo{v!y?pcHyO-r0*isR&R^GlO%Y7)bIae{E8Czv^5sAm_TFU`Z{Xn9Dyinp1k7-^tj zzDQ9OEnnzcSAQEA$UHLyXnqL~)#g%KE~n7_#Otz z7`fI-hM^Lw%t?6WrzrXoDC;5Z4jgS?nw*e5V^74yavl0MhW(0mP6y(&Y}?|9Co~V= z+MGAZg0bUE6H*c^1OQ#8CONe^+@{R~S8NV2TzKr51Mwh1dVsVBFXR>=^$HJGPi$w5 zXi?R0SpO0La)%4Dtir$*QIFXFgo7r4QTU~qXBS)w@Y!)(BL07TPpju*<7;zxk>FpK z|MfHkISFEkJMkEK|(2VAVUD0ISKvzP}IQiSrx?p0EV1(lOisE9f zR=9!tD?d5dDv5@|aubM1g)B|_XQ+`>&?ZR()YepZ=m<@<8&0pdNq&a9BTQji4?`_VK#}WIDQ3?cIU_s{!#lZvkLL5F?BSM4p(s2+jg;M4!6Xi7f7}_5(^P| zyv%r}6WGN_dnB3GP7om5{kq^WKc4nQOGh@I0wpRMn8t_eu4)4<&T!;!LxhdOP_MEA z_UYk*!`zLLU^30&j+k=@+{7PPk8z~KWt!QuSAb5bx3?SB!~Xk!d9bnaHkB+{}ZC{=|UHH$kwDK zP_nVkpoKhQc2El`-N2AA1oeos!qAY^jIg8`dk5jb9Idoi$Soj56|rouX5>j#tOplM zQA6$%Hym>^sDk7Ob~(|5_j$Wu!!0p0A+xc*ufBV~er(RHSfD`?OIx?|CC3OA{i6Hu+W$O%qOoh^A{`C|0zCH1H*x?-eAmnv;Ovadj2$f)Ku6ikURb9k?FTK3hlhn5(!%4R@N!Jh};Rj>~c4)S^8_C>Ai=hj7~Om@U9ag92V7` zPR8R@2k%%%pJik`A9L`o6X7#M{#F#<$3$;_6@(n34Eshl+w|jS>#HWzD|~%+dyC5; zwDxc|ZOy#om@m2y=hSsrNmDFsac_`com0^}_~2;YI>gJ|rn=zrx1#TVTlyrL&+N-1 z{SkQ8WTYZw{NTvqs^%PUcqXSR?QEsYP5=_^XY&}pizV{!NWycLBsL@wm=}^T<}yJ~ zH$X8ng1$9mV-S$v*`w*yr{m(*V*M+>p}jY@iWC^m_;8feBS1?t9{^}Ve{j0lE+6uM zu_QNIBOMm*84c`-lSG&B72bXN^L=CGMAjT2q|x{CqEn-h@JC7xGH_Gn1PEJCF>H_x zGE6sWv&om0Np#b-sVSOg5=jmC3Ov~!SB{X2i=^sZNt`9!02BS`&tZ37(uoHNGxn~@ z*iYdQ>W?_D46!du_Ya5lWRnxzN+u*D;Oaj2!k3_FHRfqud$`Qx+f7aS0+a`;9dYB4 zwJB7U0wDkZG^@I9G@E+_mQ}1yQ0;;Dn+6Yo2-s#={dN6Oxr)M}K2mAJAquU#075?G zS)p{G=&CvooWl*E?Ls%4Ri_`;b4@pMpY`fs<_ER6Dqx851@* zjv5V|4GY|qGP5*&wy)5H$F>`c{*heY^)$XLK-jveQT;&6E>%Gwv2*MOg-RZ9ru*H# zk!MJOP||R`Lk3Hje%wIfxjb6vTC@t6-JP0apH_I=d$cCyjU^l^!9|K+rZ%a`=Gbv; z!KyBGo`zKqF5uj64%hTajh=3( zaLLW$h4^y5R8>AB;pqoHQk9c{X|RoS{&2ov@2uak82ci)+67W^nO77CJE_E6@0cFd ze%bj%c;!*k9ur_B;W?VNmA8lDh#0E+c&w{)uF7sdXSXfhG@fI}g3uJg3_ETwJyFxz zm3MlWkdb096hG5huF-jqSBuY)v|Ax#Q$=_~ou0+t!Dlf&TCNv+0&m4HsAEsvdn?g% z#Y*dXAytf};`AgBKk3izI0-61e2MLQOd~P=jUgo_%rvWeQSvgePezlgv@?)0egg;( zGeZcJDy-MyNJ79FS*@S2i=Sv2&?x|v3q%VQ{2<8?e9Od^C=Vz;Dv#F%-QskE)_FLxJuB$d2GyL(@+saVIvVB(u9y`Y2~}i zsYCf_=yGT!R=4j-lRci0+)-OrMQB0EIMVIoIbuju+4Ol^TOxMhUZ7JO1YOUiol85m zAr>Nz7Ep%RxPtBj>mc2%Avf(Ae?lS)qL7NN7wpF2aHi|yz~RbU7!C8x>Mkb|BC4h? zOHOY7To)C6j8q1AHUc&dvcPY10Py5Sy06c;z@|*b$G$=2XuGK!K(H7Bkb02)^HL;)aj;NAP)~M(H75C zYP9>jLP{>RNL+m`_@(^k(U?~0*#9VmZ*;=kaW&CS@E?e|Cz3)pmoDc$I%}cC z>s+P#znXTP%o@Q%)5M2U-$^`GDkUzdLOmL@oZ=AUmk4~czo&HFQzrJSCMDnj@kYa} zyMgOQ^Le4ei3F<~bMv_luv-_eaBKSYx(h8LwH4N0oQ%D2;=qRKl{2K$xZ66#Q~FgO z;wg{tad}w6&E(#0 zpXf&SIIcdV!xB>hm`OTadA6y}q259rkm5dyyYUm={d_9!`gossG(67MvoFdFDG(bb ziINGIbe|GH@&L5YV3)WZkUi2psXXvI;fy&<-wnAtXvOuDC&UUedMll@=epeP09{np zMfY0j{@C0~$mQK9pf><;`qB7nblkBI2~mb0c7{OW$?5bVBN_S8dgxEU$;K^n|g+Z5GL%#q~R}-3Z(h0mpPi*gr^9*Y;-*zT60mn9qEWOo<*q%D^ z7e85a<8Y%Jcc{#V@?EJY?#o~N49PJJL*of#$bN^T7*EE? zEX#O_YI2vY5q$y7g(d@}K;+Op3$(}9?@3tB)&1M;7_BdG+|=GXfa;kd*HKj%CufC@RBi537V=`6(4981QG zsUnTIjQpa^qDA6R63t%JcWWanGCJNn(ZUAuaiYnylO5^9K%n>x{cQ=Ccau4En`**F z1*(qBsmR3w^;s8s(}Sz zk)|7O{78C*3sA{b@T*ZKH5hhyL7>{g%PvE{-5h`yB!?8A{*<$MFIcgdHFH~+2Y5Ha z-L~)Gg)PgQvx}oD(E>?W{9FK> z(VY?!T}>iTdt5D@`MPI0w?Pip(meJTz#JjpOI3en)eMx`9(ilQZ(xW7LMRaZc1Y5} z?|+zUnhtPBmFfaqvkm>S>r`uPdg3o(sif`tW3I`MQ{L0gqT>k9 z+Nq*BQaGS^#3O`1n$PGm;C4X**7@dFME}yCAm37BCDqmR)-; zj%{D)LH&x$LgwuABcq8T?Ta(C)5Os=#mTHTinbMy$BGjmM}9!((kmduu4d=nwZU(! zRZRoHTFB|LW&1RsU#$YkBy}Xwbjf|Eneo5F%;@I`IF97{3VCA`{=}ho^5>|YY0N#$ zyO?dHvz`$qIf69DCWme_v=La(d*n7l24~JK_zbwh=B<^bS~`Q*r((!nPdRM_#)GBZ zT+&9MA->ktJ9pcP;(&==l48Ud+%(wdy2;c%=IT2_@6g2})HEG_swsG701X-GOz4vh z>C#u*75hga$v7i9oe=!c=11h-7!MIol?@j`2A(RbRCS0F45J5;MC`$@At2 z7Sfc^GC;^ZshfaUJ>kt^S?@%Arame&Mo{~dm(qZTTk#Rb4^jYOGD~6nn)i8Kbp&Bn zc&yUa!V${-v)v^r5-IMpd}bjrLb|4^XM{JDr=nZ(j7XVfpF);|<(ab#FFFx1RMuq> zK1gs|biZ$CBI=AG1}aV{&_U|Sx4;g4A@TR3T4PEJ&RHgwqdUc#5M%mz!prxV!q@0oRzoz^pnhdD2n3I+NL;} z;15dY58WSTfxXh6UUoZbiW=T4pc?N6-!*=g8L~fk*JR&M&>jf}jE5tUG778dbO5cNSR zzDgMVZTe=SD^4r>gc>wH&YQ{R}FC)rZIBe9w5)@*723d5XwCXoZ~ zVn)B+80~?QD{oNWnOXL@xNkn1+Gl63ZBtw$;}5iO|fv?gg5XK1W=JB=kE4gGB+y_+nL)LeMEz;Fp5p~p>`FK2MqGAV5Fnf&vtN+*ExQSdPZW`lC*G?KiXictkW6bOc?{T1K`;usel;Bb)eS9V9^+&{V=^j7!mp|N!z@z|pj}ENfEVm%Lb)n%-!aGz#O(mF7nW0-9aGbVQ zEJPyGcCvz9QV^Yz4-?Hq5+j_gP$#}3;s{<#e5WUoCNf*Cz_h!uTqMpuwjOY3?ehzp z03Vq^XdB^dsk#9XxVKtl)zYjz%;NclRIEwOR<0Y*5NJr%E4eQ$`6l<6n+TbIe-hBN z1}8{U!%L&Z$rdHeBHYwKGJ%=`%k$5EbWql%-_>nN$EC73*m4wba82DS=SG%0lU(ZU zfpn32*Qjh>&H=<0i^wcFx%bNfcW@@`&&##I5EI4uNNRCj<-4XvmcB$tYkB8gRRW7e zB$jQ1cU5t0X(b>Xzd7X@GQZFnde%_=vwnp4OW4A!=uQcj^Y01BKHgdBzxFVz9t&@h zn_ou!C3W-Gmoi>>W#0JG%XPLoUSgR7CP|DEw91BJx-jVTHb#SX&q%}KCn3dX#F1ipZv&*@V93VRotP9 zMhVTk?!t(64-9wsNG-PNP?!%M{q9CKsTfhbpx|lu$AJW$%RqB@V2vuC5eVoCaf8^l zqGUn99|^?lQn&f^qx{u;U}}$6v#&{L<=kt&>-%_VT+|N6+Jbo%Nb0r|Oh&t&^cMC6 z#Q3Rt;_K>;F}fkn8xIi~e=#5UT38T4>o#4zv9qWii3`}Xy0m-?Ade<7D$CDEvB*4h zxa}bHLJ9AkD#x?Rjws2gq7~1w6we#tB~jTAXx!eSaZ# zWkq*ZQPvIMI%u9lS+3)%3DI-}3c-?s4_N=P?{LIU59UL#TD8;#55Rm@94@N|i|Vd5 znBIi(+;ft9;}9TKi;Ce`(Py@|Bw`>?RvPYUCs&GdlX_m@$GW;dR*x(?Hb}J4c%qit zY-%hOCP2#!S0?kbKqPa1a0>ybg1ILT;VUB$D3ZNY{AHhCSsC6Xiwl8J1d!@w4xJ z@kLGxfHqnOvxAbfKNcUH^uhFMVCoD{fIKWRoebcb_CSU*{$~2r& zC+kmCGB@eIqbX~1`3^e6zHc~mFt=>)0{{>1e(y+J^E1t4qYhkP$1&K@)kr!80Xh^s zWX2%f206x1M({oup2Pyu=u}%OMIW5VxbcO@DoxgBWe!yR3tgX^ezSqGKzfJV>Muwd z=r|u-fP-+Lj^fk|IDXm=2|FA3*-k`guYI6NT7DK-`Ac201;~6rzKJa`ZJE@Dlw@Kr z@y-6=$3|s-ZK|oX73tTbcKB)h>%fPnDnzD3PD#M1kh}xM{Gy-RXd$E>r*M%tZ=eoB zI%*9aWY6JNh^K||f!5!#PLZq~xbzxO71LVtfqD|6L$q}#WiyQv6GkVpOEY9wl~Q~!)r^KuZY|JvcFR~ zCY2;l$?urTq_y0g70XSB4t9?AZK1YrY76@-;u^ z6sLmss5!Igr87WsQN43H4CPm}fBQFSZ)u#%x)K!6x{=g49H95Lsb|gFH3g{J=Cu#W4i{CstNbEs7?Fz?9P| zk2m~|cvQo?0+))!Y(v)FpEx5pHw5g7Bc2~ z88d(*mLfcc^U%-Ni34Ai9eqr{+D6t_aD%}MF~hvv>yB&DT4Hzmwr>#qVlZL}F`Sb{ z&*?i;&q*qx%aWEN_4U?lJ7bSsqvD)+f;}}O7qc(N)EtbI~)6 zF%vhLm%?o6lVeT;R;jr&IVW)aqSD!8^MParBxAKu=~$aD#DeEso9qu}+Y_r0=vh=h z{lns!c!Pjl5_YnxILzMRUh`vLnMjRRpSt2;aR5m`w!eX&{sCzkRq?YQS*NBhIh*0o zD|0H)*2fJJ)*!(kVu{OV5@crY%^TGoXfaXyH2pvQyFzeN?ARVT(U~>rB(67mXofWn z-OhRJ>#orq_e`B=^5bq> z3aP;D~kMj4c>4Ek9H&5r&-8y?#5@TZ3_JQVRz*h4iB1U!)P zxZ`N!+m9n~tpDZj{M+#BB87v5%zsLMNXzsOIuf8u0Xi3;n*ll;pz8q!5nwo>Z8XFW zv$h&UA^t8tiseTnKSKEtP!am!%MTC^(M0H=K51W=fd(@Gv|EegIsx~Je|-GoSsVb_ zUQ^Q-GG~GT5r~C?;~(~HU=TvnM?_$nQtvz0^j9^@nnC!6T4(wS3iz_4 z!FQI!+RqOrRp0?bwDi{E(H3CRG)ffcI;L03~{TKMVd1g=7=uDmrgaDZ(U=} zWD>~%rekpcEnIbmx=2_6msEBt8LNB0QuY7mx8H#qE+CqWOE7}=FjzB#(6X6WN7a%< zTV1RLhIO$mAzQeXO^Un)%SBZe@c3Hz(+XfW!$b%{Mq!6$lNL*`Zg|6&HHV3$`}&Ye z3&=z1eIPmU9Sz8v574QRJUo+mS@gNzrVuL8T9pF`#g( zU2A@T9$3=S0isn3YzJzPMq&jY>^l(Z?tnY*N|Is-FGTz%tULEPKm*&aSISKUc}Z>uuL01# z*<~i`k3_YhgE3Spz@`s9?mNu^hnJuG7CCPumzL^+S1z8IX2I4DF?zdlToP#t|6JPM zzWo++-I4Zl->IfHD|Jxyo0QuP=bN{Z52U8-)matA?S8u&=pPe@lyoQD(|5r6!3zgd z<{~GCK>7l}={99&qzuU23o;uL-xRHesWx*Esq1NHXJ~1|-@O zkbKO#{f=3;$GirB;_cIe`MjJW%|9&8Kn|VcJ~{DBlh;n*ikLtFBYrI?(wgl{vWHqIuyqRW1Czd0I33S+Q3{Q8%a0)@Qp1cj&pL6?R&bMdBbPW zgyu&SQS*_k^6fryP6|ALz_a?}qKi8B0@3l%s}HgN1|50%W#cRjl^9pvJd<-dG=dL~ z_XaV6Abf`5a!4~--hym3}I0+pHLU53^c93toaqdiU{&Oz1+(Tm>ZnxjYC znW}9S;InUz76%!!lYg+CH;74a3s0v2&*jziJU~3bzV?`V?i=*jFVVUvos{K>^elYC z-(Dsl>Iw$~@4grX%4}g3RFn%Io)7hBm-Oby#N{M~gy3_{CAZm$<_M!&}6idn@>zEktj&@HcLz2bhBk-N+EY zzMv#oHy1>5S9O`KVJ@c&OOWe5D;&@^X+pF5%uq0kDmqXBDFfhf^omH)V=5ud%aSYj zC20Zpp+0iX-iG}=HT4Ug!&1fyB^3$CKR~d)gKpX7A4!u#^a{{HLkaV(&AcquNpICL z7c}jKwb1y*_s87JRn1ti`<%TNsLgFRC1BtbxA4Uueaf#Hj^D*%Y;5zQD;b^kC6|Br z6D!bXM#?Tgi0EK{MxCk-hbnPZ28Abd63W`z*cR0x2em!iNBAH42rr*2dLg^okt)w3 zF;Y~da8Ta?Vk#Sc@TZoo{SkLPP?p%!dCZHz$$$ZyR_6KXGW?Jf!JH+L4)b|!8VI}Z zdZJe_CJhlmSP*GK^8TxT@Ta8v$)Pti4p7GnDbRhJ8|)+iWM>HV@-O=tNRtV|l+U`$ z+DTmd`wuno?kWGw>bX-_IVE_oTA;?ZQTro@)u)FdXH*pW!Jm?-AOQ;#v-nsIEkd{Wj8UhWGm~VPaM8q@HI0HC*^o@W9Y{sAX*t*U5IJThwVz|aP z#@a8N6U%%JIG~I6(MBrqAt@C9-sBq`FZwSM5Q>&Ft&0T(mG9;T_DJ1;+ZMnh7-WHS zvDOzz%p6bZ$Xlf2YkWwc>2h$zgBv}rKl>8fh3Fko-+Z6~h(85ZqT~=^f72Zu6L5V& zUu7Ta7|x+jQ@+M--_+*~=bDwyXz$3-0wXTwu0OGdr0YI16_D zCxNkHU$nRS<4pOJ?Khaj^WxazNA2F|g&RJK9}S(#*t$4#AL6U7fmujd%BTxNlAd{= z+-094D&4`P$tiosAUxe2oe%20-GRU9x<7F3rZ4N=PFqbS{&eg>d~25G+;9@@&c)`b z2Zsi@_?z0?74?g%s$y6j9ssu3C)rJdTO*F{ zjCkF8a&s+6qQ`N+IJfz(m*)_Bb+uRQ<>0TECYHpV)`KZwb^ONGka$4v76;--trTvQ z43$2B-x=+o0^Er1wjIuLY3z2Fi_$>rRc{I`1m$MAGdcT)Fi>YLbQ5Z+lHgSYmY zCxJHJl4x+%tiNnFxV62KS)=Y}4;?Xg*xsrokJj3mZeHN+vZt5qz4dy-4!CvBc&mQI zZ!LIRoVD%G4L(@Sx_@)Qak!vPmmc0fUR<3D?rKOF`HIJ@nZ7z*f?1P@w#M26aJoXk zBLpqIxdMHn-9At;M+)F#kQnIam*#o`yjvGkc#{j^tV>RC=eU!QNOwKa*y-!0gB#c2 z=QqE^qUvst+_LJ1UV+IF2fV&Kf@`KcICL7+aQpZ%kJ%c zKNAO%oBKYwW`uidqOR7^JntJ&$$Lii8Dh}6bMDZ&_^r-qnc&ue>^axHbFR1O{q^B^ zLl=^_x*%3%`&xGMZ*(BMBSYQmf^YoY?~UHSXFwEC^#;n-3C^3=HdkHW`WbeG2kGD=d{b$|B>a$KQawd8v`d(ARlE;i2IH?ST+%6 zmc7!t-{Dgq&pHMvOjyaOnvW6O6EqQiM&kYVn*k$NEa zul*(*FWLE;&UCdwVi3S%Aeggc+zS%?^WxOuSD54W#fiViMPSppNrF(1T(jx|Rt}$@ zkPRq5o=A7h^VXns#!x%H9V5Mio6rtSkcHEUJkBlDUf-~8=lixBBGZHI#epBwuU-^IiS0zL6$VipJCVWHTh4YB+yk@(6pq0% zSKLw0bz{18JP-VjNRkb0*L4AELS2Z7h;eG_EkA))oKm?>kzO58v-HQ8f<;32Hc($_ zWg|^-6gk8>E2jR~G{fjrXeXqEyH@1VWDvUnl)1~X9vKF{2D~Ry^L%NtKt|_DON9Ic z$vWsQNLETkVi>v;$fwMxOQQn0#<(pQ_QtjnzXnahN!v?-6%>55F0E$vKe% z-r!5Kty920hz`w6rF9!%&$@Qx($ssjh!f&RK&#(!sPn{~z`(gj4O_gB-(}t4<9<9KOXu}Y1Xpo#@ga#E5zldG5 zH$1xk|6MV$rTGe|PMab+JUup$oAQgH<1hJ|SsN?iQOe$>W@O_Z*ZdbuH;ODyFkahzgA^U>G8Ei>wf%+mUoQM8!}VN5uf4COACf z*hNJNjoa7h8X7KgP$?K#MgzE2eZz6NM|Ih%qPaO{e;l)agMy$NY%YMWShep8pB7UV zhg2KZ-8c*b)INRsQAStR&P1X&5kp2FB4-EN$gsz`Uex^O z|I!yvEv=X6tWnPp^T=F>>Vp&j7Vs9S$5o2u*wCTX0!x2-( z*faUCqF~acmQJ}@BiF=i`h1U5b8<5@AWAZm|OaS9^f=zzJ~nw0%qM8Ou$0GsAZ{Z-N9p7zc!Lbg8i4AsqfLbm0u#(q_4KCHWDPoEY#76&-nr5L<^B%oIs3R>PgIlUZG4)DsZdj=4o$fyuAy zCcY=bE5cAcm@PAEk`*9Qj>-#G0N$^_4StMRup^Fc)0nxK(S~DKHro98jwZ5c`2ly> zc*9c!Pa9Gx3=~MkfH<;k7{rycxSs39r-*83#UpKpr0-+Tg7wM_mgfo`(-{X@x7G`u z+xpg&lM@iZ{N{0>6T&>3S@BUj8Z+GlX=B{zKH&{%QE&t7SQWfMTUJBKyX-XWrO4#~ zT;7*avY@J(SJHp-jP7GT_uv%8smi9c56LVM(X3lB0=L(dX%Z@=2aq&$Gb+PVWox0sd%QPZa7~1k z+LwZ+k~TO;+3Gi|D26pj)kIsrCMAvJE)>lz9$QtuS-+tJ15o*On(|{}5?XzWNXD8} zz&%n0d^M&Fn^$AwUej82-z^(ugs2A`QjgY=+J2kLE6uWC_aSI4@0fp#(RA9}==WfG z95KVTq_6LX-ZMN>b#C8olyMB2kz4b+$D+N>EO}q)_Usfk)Fe53=r8STRcx)M=u901 zE?)9{z8Sweyv_l99H5i)l#8dnY4ZWQTEt@{4I;_rHOKn_Tny#B&8vc1ooMLXS9IaS z|1*U-oUR*SHL+l9iEpI2QO$+{P2xw=@m!Kk7~#WX;dz^H%*2BA5^<}fLm`!DT0)UY zhj)L=Md~Vhj6Sc=dDSw$h-(Wu7-l_E3WOe=wD2ZqIHv<(j!yuQ<=(enO+DThr>TX2 zd%WYTlQjn95~A)pOh01e6`Spff?h|;sCmven}I860-Q0~W1>F|*nFIv$**AKan8-BpM z-4d|qy%fhJ3Nw2Nr22QZpDRO3N^*w-zmc59d2o-daZU6Adi zd{N9O`+CiIXeQ)l#%X=-X%EqosbDxm+LwtY%URS4r|fG~R^MER%#oOh#zWUZG`5Dt z#|2xu3TP-WwKWKuR!7YeC*tjcQ(<@yd~gyF^@Jhlbx18URoAtyclyx6f*bX|sE3sZ z7kT{G)L8>`^H?|+QF_)d5y9G<|*y)lWubUbs57|s5S0uHuW7vyEoeDZuxa-3^ z*D!O>B>Dna0T>+20e>VI4SjbbeWGgblYtjswLEoK+XXkx(B<{Qc9&e1UaNiw7YXVH zo=P}Zp!v1X&59j30gDa5LTU57e-R?E}m z2xrf9Pb2HPb~*vCR*1V?gHzv0SKD<0Ouy%e8z`R@Qf;!ferKa&y*T!G$&B6Q7jQbD z>gx8fG`Jy++j?;*1?Z{V1$d8{b6K{Dm$vy#X*MT9M z=7#PWwof&Zg`9c4IQmw(1n(>rf3cOQL#|`gDdWw-3L_H3MzI6`)gA2I+@1cdQ-oQI>O}M;-G27 z8|307t?C!VoaDuUktR6hIIcmkpP5rb2q;mO;2Mp_HTKJ83Ufzqxr(Zcv&kmEQx z1|zMj5*bKFvDzXfNs+W#izqP^{tOjlPg0fGlIOo4>lf1M6{lpHd@|83XsIOh4`jFU zBq`L|ek0jY%%YI&JC;sPhl3+q8qEg^S^kojH9t`am2C+l1uTqa%Ek#21Qa4=3z~zC zS~BOV_6cHsw`c8+GoV?F!)OY`_-?@({cZ_5MK$||{;n%VoD!O6m^t&7pFPuy`NN(h ze+z+fI~c~489>XG#3$oOZrtAgwE}DM;Rp-OhxBUsaEIPd4G2|EN;>Jozr@8Qg z11R)+JHXaT5(;VPdq6#2Oc-HctbpwU#z8nee|7=J7P8ZK{Qg77hl<}_Tft|e{2zH$C+-M;*guK7~rk;Lb##l1%mcZw03a00=wj_IKC5m zVZo^oP3H|xOX?P>4K3}S?v3JV3vv2bWNbd7RYv+}uFc1gL12$T&V&wdQ2dl|;C`-# z7?2VGQQ^!^PY6S!BmTTuG!|H5=c6MJ5m$Lbn;Nh|M7P`B96aD}+q9?CkVNClDWl1u zr4Gcjk1NV;{?Yt_WDWb0uHLj^FMZXhJ%Ae35wDJ`Dpi5pXpl8YC&@Cb9A2B(#AhWd zHqy*Xa4b7wBQKjeyGR!rb%9F~oy(xgj?;~mZrW9?8V~R|AJq;Ih0nb_@@)DXxdb?M z-Mm6*!I+%(q(iBqgJyMmUjO62^u-rvEM%0LM!>5>SmP5F|~@thsId(R4mI zfq6Pwf#-&J!kt>9&vkP{dIiROA(53EQjkCNNZE_tCQl(4@dFscKvy~YLlAb2V0sA zeb+Xku@%=ITj@*MY@p>eoV3+}k84ytM~8|>P+FY+x0;&C(Xbu<23%>=Bf0p} z^<^|3={bU@>oY9;z3GU8#5aHiH_#uCu|*ON7RAQ3>qfVSk=#AMk~pOK2xh~W&MzRg z(7xZQ5)Nx%6}RD=bvI%$@a_n1HZd;W1g8s|z0>vSwcLTa1zLnxqX^#`Md&4gX8oa3=uLjPPLLS?+ZSJafhWVYcMz!)l^l_@ z5$O)v!`e|ah_zfgnIxef_;EnGJKY^H`O$5&x%S?P<2Z_G%{U1i{xGW1_4xu(epM_C zL))`0H>NY3Blp<*p}X=Wis>4O;t&9$0mlIAX9d1QUUS9nE3s|Ef6;P1<3IfV7hlMA z{L-#dW?TnXIo22@<4SNK$!R2G_FGy(HSAhh(dldqc(C8q;LA)p zf$PhZIF9*nden(@!#74}%Urs4A{GD7@4t~=?AH-B=q7W?Xl_J4o1AYYB&{791f%V6 zXvFN#4;Rx#=7C|fge;mFL5hK9G0m4{QGhQ{ewqDUtb;gkrg24{cLm<765 zzdD=jMk`C0+L%ko$s|+K&^Ven3ddHQN0KSJjtx&F3Y;qm5|}j=JtEiLF7E~&hEr3K z;myTl2pWS;@C;8t^HkQX(g|3>JvQI#3x`#xjeT^ zw^Y5%tLL1;{!{ zZ(v?FkCJU1_7Hic)b`kA{e7R8FTm{(XI6*w%B(#%MOUZg$a7-NJ`W z!*@wD*Hy;gFUbjx#3Nm|Q%xtK_H3aF7fg4L>O8TyaxIzA~yyUFqdAVa9hcBQ^N1 zLd)U2>gp(l@v?7g+WXZ-lGEc2V#CQqVQ=bp$S_OgonRPra&s5+{UzJg?Q8nV+~gj( zZ*<{XlDgiOMCmgp1nYQ`9laj6fCq4cU>ewWp|Ln-h{iNO%VCg&m6vrj?LRDRcAWaw zHPP+hX2m!7s7jLPfP=SQ;44l#8oL!wWpo5_YGeL;go}YuiL^*w7DFMad24@UD&O_! zI$OODB;vte4B4WmvAff8a<8#y-q`Q|)i1t~jFqZkJeA+GB)*UTAbFHsqFcHZ+FCxN zTU>veHY8uLEy36vFlzXmcl8AZvs4{PDU3Z!;31IynMhTYg&dp^_HodCZDx&m%1( zePIND6F_JP;s=gEdh8px-2!Ka;Vr&u0U(pNZ3UZei4?PH!>Z;0hXjYBcQ)e#x)9!~ zYE#yn`m(+#E$YGX;WX6NsBy%a`eJO^$Ch)0GD!~L-1eMs)MNZjgl{6E4X@AQ9$l&p z9+zP?K3-TRHXoWt8bOweFTLs|#HZu&efey{A8>au>yH);Ta>rhKjngFiWV;i7|{lPPI+VSjZ2I6#zG>EI8|`-KEiRr+U1Z48AMIj;jq+A zU3auiHgF1Pj6G?Q3}H5B&!V4!bzq_gwWpnldCu9*MF%z#Ur3ibFdiy2TZFJEb0CYA z4QL`UG`^!X*O%}UaqyKB&ZK1yxX69a4|JsbepDr?WlU*o33efqJf{l@nA12eK3dOaCUx+zjo9g3({DDPBSkCp zQs#Pva;yVq!~%oZ%}F9v0YM=_IU_l-?=>|HnV)II)nJFTP}-dCyM5mtF5pRBmUPi+ zALkiq0fI#6NLg&R#&d^9z5 zk$$0Z?>XQ;N60{@0Q1!X`Qm`XRl@dRuR!dzKo=lvzo9GOCN~3%dQ6AWrar?Q3roNr z&eU>hTRJDzLG{}$-AJ1LiFi}w?`j|jbe$LW#=$JDt9@L z){YALOm3~}={QJnb$?%9!XZAVYkGb@=5>EkvrFr$72aFC7Xdj|<;S#M?5(B167ia# zQaSCp1F`QyJBkFPgJ4ps=_~1dzQY>?D4%Gl9d2I5uAJwGoOG!A+#ZU-y}#r)U94wQ zY74mOxh}W)Tl9cMoa>kP8Xj$YS;E8mwI)$W!#t#~IPX(xj*ogdY7A|nxp{d6j(*X` zGTy0zk42=T7Jgg2Pdg23M5;9HU-mB8>lBp6;Ap|&TkJ@Ds~I#DNV zmOTP{vBfs|dxr0bRxD!2~h4BP>iov(4S<5oG* zHPh(3WkHj!JCf5k>`hm-B*Bmf{LWT=5AUBTEr(-4V^>ytEV{jTyK;QUswG}%Ct!1Q zG_V>c-8SbmsJ8@*5We9%b3+GinOmL-nQQ~4#gceH)R$xY)Te2oK2MQdedwU4tF032 zA&v+Za5o%h(Sut=n?LVWp_{KB3`EgQJ`xfX%VkVbrU!=!U80vbwWxpBajY2Y%-hn|(-T@{cA{1rnsx>DZ4 z11<@ouIJz@hU)b=u+s-bm<9X|*Fj#o0rL|*aV?(%=!eD_jX1zpUSy#UHba>h6J962 zimi~Eq?)>xP6ZeN1jLGf^WhI)X=Kg_k*ih`N-f8prS4;d6e~a=ZpaLoQt#1MzRf)Z z4h?@bB-O)LArx1Ku1GfwXW8;V(6>TB;!rK$G5+`O=?C)JV;U{5f*l>%)WUCd;@f37 zR^oY)4?Sa}j-1F)ySNbTUNLm5Jbk!S(s7f~EuBLJw3|v|^;^6ea<*{8LrHkRHsbWb zL|yT1fKjT25y{tNeJX6zB9cckrm9^OrlJD2X9OrpyLR4J?U@nlzH)*U$9$-}M+1+) zHpwdU4#&4T;TTAC&ViVV9>>Grq%gzodA1Obt;9`Yd&v#mZ%$8=?IeIJgTEPn)8EK@RZ1#( z#%saYt21Jz@qY2-AgR0UPAF-#l%JdcU}iw(D)VZ~I=fi|T*?Wtk!dY*JYM44271j2 zqa63i@y&-AAYW`SJm%#FVQBy=V~SA#m`uRJ!3=bR7TuT!l35hfqJG8xqmGxEXi?{A zzC$AQ+*fk)NzZ~{MQy6%+D}*{4lv0OiQA^Itj!01On0=e<1kuK*yXU^?x?3vPJ*{l zYIR$5uOy{gj`tMHXj9~Tmrlg%KBVIP54;-M=0b%5Bk2f_J)(59ZgBR52og{9wv#Erw_?vWHgK(6*#0 zpt+*Umc;rCeMxt226BtP^cBS!WJ^+>ik2--%RhAl-l-w!f9UP1#JpwRnx3gnjU~@N zrN(uDIjEzHkYv6F2CA9#XuwmxK3A6hxytqT=1?VzO~eginFHGnQ!@K~7-oAp9uWe1 zDiwp!E&d!^DHSb9*3Iy!sM@21o^lQ$nne*lk9~96Uo6CU-uaw4>$xwj6X(s{0JQzqoE*XR63O!Tr=AtD-|{wvZy-FJ$5)c6kzqlj zna@mp-LQ>>=#9U9em2>%g%dCoIg1 zc`6!7FVL;4hl}bY;8eA-LC`=7m-MvG__;nu!vg=xZo`%rI5#S)5-*|qx+a17$N|=- zf)l>U-gu-ALx-eBqeWeKsMkRBV~iI1Q3&G9D=o5;Q_&sGW16ZBT`R6XR&~W~jjE2L zP1QC>m3dEne_6%l)<}+r!3NE=svrqtJwTs9S7y~>uGXm63vJ#WuMPJ{==)P;Z|vq- zZ8k;6BV^`wq;d6l!J1gSn4BQ;7F47QBt>A??->H8q^uj!rwYtz}YpAqD65x;Nl9{S^)RJ*1<85e>~NkczrdSzVD9p15rJg zP0;T(vqsJ=1{d1ijfz>Lwg6pg*eGyg(FReltOloZqh#!3a|^#PQj628dGP&ZYqaI4 zTGhj>g2a><)}nh+JuVFcXhqJT+f}ou7Z=J-vMV9&j`D` zlhwJYi|ob>PE!$$D@~@JH1703Yv%@E;~SN>z$v8Z+u(@48lyY46N};tz7XR`daD_P z2@7RC6OnzR7SN;5biIFN!h`kp5({T%TP&(7I0>{!s;8l}(tf+W9$XSHYP!6pX&mhy zhR*!P(2`pf>W_doTlXt+rx{K}Cr7`EBa+=o6s7#U!w-L5n^zYHG}M>&4llfAn+|Wc zJ%XXttfAEuhr^nTMovm@E4kU)eV(5RJoo~i;P$~8Imx)N?FEtlpS^eMmF>FD#Hfqq z^g@ulBtej;Wh_`c8x*(J{X)ck?Ux4nC3#L}RjsO8r&iS}uFKx1HiU*HTNY(nj@vCK zcGGQ}*3D{JhG?Y~iH_+Yn}lBiM1BY$!Fg$fhm?}X{DF*bj5*h(s`ftTkZc490!nA^ zT{Xv;_sf`bjPLVgV9OGPQK0A~bH2{0>rX^|Uc=E7?CA*TfrY(3>~~dLH0@m_8MbFu zB3m5-MLDGLx+3cf?=)yZbuvkkVeks5oUGv-6^BJxt_6?tOh;0F-&webR99f0%emsm z+ob2FQQz{}u>xd^Ct?$b$^1#XRX;Gtno@r%&cQ0yuY5wgb#68CQ?cXF4uL=$eW3r8 zrEB!P`CwZ-qK4Ohi9ZZ&ggg7t<(qED5j%&D!wG1paNy~-vs>EaaXYVYTS+-Nd9|g^ zLswo4O2NwJzjg?$Cv)Jsu+ z&k9x9tFE$d)@-P+U^uVr&7tG+C^8i+o?i`|p*#?8zmZ?5d2SSv8AVf2!=4XtiueZgkH z!Gv>ObT&IWQck3C~*nF2h}<^>#C!%b-!wD3;TyEV486*Ypr~EN z-xl733x!zGMZq^G9payhhnvP(c2w_TnKQycfr6dWuKABkbzq~}-l#1{dDjQLkdr;L zF0F5U{JH0VH-w1!n*#q*OYV!^0pT}?)w-+g2X>bO)l~mkV$;EgB|fB0p(`Z{-~nHI z&dK%z_o2d@=Y!4G#{O347jOe;aK-Te{tW%c*8i)SZxAo6Xw3%FF&X5}<1fDY-m71J z|94({_pN{R__yD5Hn)FXzWw>_-~Gi%jREy z>!+{$^f!O{W#?tBtyYI>S2%v`;lv)K0qE8)eU}ah4cBzY@BLT*;_(}AJpS(QBD2Nq zo6Y*|&+l&j?sp|G&f_QlnsR(|niJ*HD#T?-PH`5*o)hApDG4q^*P5x~AwpR>jLT&8 zhkx__pS|(kUw<1}&2C?(6o2Ecs||(vdcKIx|*zzKF4=|^xKcW_tp2m`4)1#e&;*Szx`Uh zzWugj_syTa@{>1y`h|b^(lnE*ez`O1vxN3p-=~E?ybMz7Klu1ZbZdHi6PfZ&WR!u_ zK;K)^M}hqy_Ar!Sh6_5cz8l1ao*&y1bVGYmVvX(+eZGlw$JekP>rav~UBpEdS~RPx1#~%DfMv28*rJ@Y#?^IvnazQb8wlF3~oKg zx1kvgZP1p4XKtCJQ*|eI%EJ}0xlGM2y_l*;jfh((QN=JhN2>lQ?fzh_u8YMAvGgV0 z*sht^&)If2H*_8XP6%#R&EML)Wvd=BI4SH$iv|}SDQh5fA!?phoz;c2glAu4KfvQM zEh%Ko&?n_=iJ+dyet5xnLkQ7ld3MITN1T?YUOWjP&b`*lH=n+~Q!*YTGnNEgmA!8Y zBWXAL99Z;sXb3#lXb7pRpdoR`8bsQD!QS7cA?iyX(oy>1ggj|An7!OebQ2QO1|1J%2 zkQohW%)J>zrX&6>K>STW6l3CYxbDI{DKla(D5v?Q8B`1WwruyW%(i}J=D%n!ST3<` zFuDZuNnGIuc2SjNy$7zt=Dy=QnSQW+!47L#T+{c{TD^>&V9l5 zf#TnA?1bvtM;)h%@Q$32I=s3fl?RB1IryU~S;=YmtvLj!bmZaj`vrNToC5=eb_@ZI z<7B=A4hg*bhJk|@!5G)m3Xd=qoozXphh%tdLh%E@&ifW(su?iliq2$;@~*qvH$9>SfUj?*+|YEmZdz5DR37r?^0Cs$${bBMg>4;gK~r@gVnBsMyhXA;EW{O8 z+2`_c+fYS9P$`7K6JUkvswi*2-RO26Cv~OT0e}Ihby`)|s!=8t=ySXXsiN57fJF}M zH}zJfx+1kEwTm_i@Z!xnGfUWED;^K|9PVfVzssY}&>L_cg4m7zSmiZCDM%3`Zf%SQ z(iMk}yuij%oo-j$et*Ygt(+Kr7$YrZ9iiqv9aCuE0NW%xTbMX>M6;GQA4l0cSz}j& zFjm7E!O-mSh8C8@T0Q>ypS}0%-+%nOuRQ+h8;}3!58#`&g3U$;@qErl`nCgGva)Bn zP~yzz?G?kL!0NN;bg|_Jh_VDwl7v9zv_szh5c~29j4WO6XoYJRMkP<#V zdlg8zN-}3Uep7?mcfOC*s&KC8Oxv|&u)Om+?ePju%^L+`mxo;q%uD>-bnV;!oz~<5 zny<#w$^x!6aJ@%tOH(SuKHUEBa0OhWEy$F0`(>7nUYZr{HSAG)MT^+MS$FK~+SN0) zYc>UCxi6}=CM#|M;3ha;wpV-GmrU_UM`i!<8$bTx-+$r9fA!<<*?<4VAHVhYzxLy| ze*9M);#b4voff$p_-InvgObknEr}h{jSEw3k<-Zm;X*+5c~}8~vaIOK+wVK`4nR!O zVt|3C9@^agz*KLA2m`7to(rjPp-D#v(Y%&kSKIy4#%u9>O>()@&_USF$-K%BPP3FE zxmHV!N*_?eRd7PQ{g$ftZ@=-*pS=CXftK`HzP=$#wku$LIdn+6wq)>VIS z?O%TlcW)dKv9{aWKP{Zysyp2NYqB^o0h}w{U%vI9G4+%%CNQ+#eBZ&r89r(Dc6~!O z9e+YyN#kX)r%$ixv(hL1WO0*8SIj`vx4?CTq*^TM0Ot=(NWP(9?Q{0{;P@txr`s8= z^|TV;lQ=$380myQC-m=08B0o9HM}68Lp3$tth#s#!Q`n0^Fc7@`$3ma(O~XMoqG}n zNE2`^DB*o71JpNunv@}@jE+-M4JIkYp$YkiPt?k3xjtd~q_lj^m$FssKB)}8@l69} z>Y22wA#KaeT2j-edUQmShCNCexTREV(gSC7hVJgpadezCtQ~2wld*Z6GA-|F){~UG zr%W07^&MmCIAOfIYoy!^DR1N{Lsvbz%Qvf=&9&C1cFTp>o`7=6zOXC6mVYfIKpEu52DysS4 z;bVG~^Acc(v{SEfQ38@69A>YviGZ(g%hZN&!mal9vMdB-@xgSik?o-vp<^H)*~J9FKUIBy zmI%g0SkM}HL&9m_|9zYfol1bV25KNDXUe6ID4!)iZ7xBb#(n7{kA#kdSAYtXps+g6 zuh2y2#_U$j;W|QPc$REZVK)K;=Un0o^@O`G$7iWlvn?1WiSqK08EwdPoLZ5J1;0qG z@h}eLr%4uYSu4uJPRIB3qk!xl1`62DR~<^i@mBDt2Wb+XjPRljj!*U~!niH9$J-Su zxNGf01!&>M`X`^z)Esg%D7SDYf@16p>;`ih}i(L8v<>V#yg9v)Zg0v#(_GhX304v2n`T#Xlu0Od& z{JvehLC6P*Esn}n-S!k)E zI5hwhe`h2ZmTvKH*d~NuI60V1)SOOYtObvlU&@= zMqX=kvIc0YD04Wx!xNasZ*Ae?z~P%!gmddhV%kc631+B%7nYbZGHmnJ2#?P*9^gKx z-d#U;J&V>lpQia0aCHahU$QHHsSo{QgWY*()1H$fQY0^$0cFkja{BS!*qa~}fA5VJDiEV@HU15q0Q(kgU-Nd;_QT9~V@1$Z-) zWGw(v)YbX84LAUW0g@RVsV{Om6gd>#A&{#CoOdM-hDsWP!}sR-aZ_+y7DsUp?GO!G zBheZGt15PYf8T>DZ*xq%ZGPGi0Aoiy&Ju5%28b>jl*Xbo1}YV8g0Pis#-7O+<4Wt- z&3(6O=pZ$Kyp4*Nh$e=cN*#EwZfL&-!&pPDU!K$!F~w_TgNKjCc`+)UKPXK_X=(+L zlW|M(jV;_aRErLy2H4}|)!L6v>dqY0vmAk-JA?QZ54tnaomoMQD>KFw;OIQkNhP~c z+xxm*c9Ef|fP^G2vRH=@{wuf1r|){kXC?~yCUD>_QX~;IOaJr3pWV3a64|2$+X3pw;!r@ zkH9!UN~r%>E=ZiJRD<3R>P(h$nJ8oDo&QLQM;ta zg&)=kPbQuhTkuRwSUt_K4a&aNexX~1yTX$;0uD!0fZBIlax)X{eqA=9MD~NCrLMzk zh$oX20YxFKOa%4L2ah1Nz}?}=zykcItoc2B@JX)>3xOwd)=Mq+pvB>xj2$vGstr2) z?ipotopkwVLGWbKdYKi*fDd3-JhJJU9tvpJz)^aBxMR67i%qZlB)7orbMs|R`>q8l zc~6#z5$zD{d&9w4ejL1B=YAV6!Ffu)ViiHa zFH6AQ)lSFDlJ`SIFjF#qC&LR}zz;i4X0c1z2LCMQCY8sj;E5xt66?SJN7`+0d}6J@ z(9kW4iZQAT(~c`Mx~|~YU)ebThnO`E@xR=WvtkC^p_(7597e9db5Ub>k~Nxze5Q7V z4okjPHotM~DC*m^V?dn0i*Xrinx;6LYgDG24qzk$QN&r9!iMt@&9sMkL)*8#6OMTV?r`+~ zoc=*PsFCm;aIdu0Bi@$)+?3OjpBtD;7@#M)_?jVuquJEu1hB_0NICMsd{$2nUGcq4jroM&%BG;&l00?H1Is=!`h$Y}QK8Szb=FaC99gLY0O$0~BzLL#=_E z&l?H$2Np2(3{0KtgA8t9-HeKX1_7TQ%-o07%vst@1Ia|m_YIQ3Srx0YFt9SS8gLME z8lc-5B0tZh->U;1p}^C{pb=Gdul{g6JjlSPX}~c95Oyi>FH#9+~jT&ki+{ z)}h@P3JRXQ2!iShH2$zJ(P`6VqY1W9*E?gGEWkRhy1MzmGwq*$+@N@aYLO%3jbj=k zX9$HvhCn$#n$H~tq`^6zspvo%04vp%Z-dC4d>ha~*L(}u5`3#kl^Ki?yFZzZ(U2xM zpT-HoAx-3-OG8KQz9iutd66NO4QbBjMTS8#q&c4#4!^NU6y1?o5;G32FKNyz3P**G zb(*HTq4T=K$8+;tqVqVYt)hOVER*4@VDgpA*vg)KHPMKmvcQO?Q!%o7o0!sx#u{(T0dK}NwEjeH?P7>Gi|wY zSEcVnz*xw$w?LfE_V)FLPK{Namt}=(pxbZT{0vmr9Zg_xgdpBQ-<@H$cMReGJP-jG z;Ao=3?s3DadM5WuM+$vMb%3TcS7&Z2NKSg5A_nf+l};!G5~FvoglBJC0QdV@b%xH- zZ4QEaaHqDZRsQViqLbSKt&gMrgb8|!80=@(JmTpY>W&ZvA!vPeg~@RD+`nbu8iQZp z@$%o_;Xb?Wbi{}f8RgupB(g6~N7NY|hUa9efJXEjpnQj?8P%@2u+GLRKr1BvtxuuC zlUWsv6)gGsP=~};#nV*A^JRt^iX~A5AW?~^Yye)0M_KGSPu3Rn)2pu;-&NUwiG8Yi zO<3jn+HuIsvJ(1EtN{!;xe@0@kp8sm0{|CsYC5BIH2T9yuk(Ey^POzSvZl()xv$Lg z{uj8{4s)l+SHk5WdTh^-)lbzp!@%yJ0zQD2bjl_4LDiU1-0Rp>H;QpDpCsz{qc?qa zSv_q1XP49iwSV0xaAcz%Bm1Q>02gQXguX}5DDB5fjtun``!s0^h0OnFHsA(64)G8X4uj7Y)jj^r)~*9)}hIM{!TH*?%b9E1*C<(CH^j zd!@e5D11`l=t$`{-|p81EI^NrKzvs`d^DhaUTNxE|2LToAU{SAgW#&G*#XLU5*p^Keh_J*7x)BC zJ_2S!hcMDsEn3(gyvHfPF|R>^>!>n+#8;tqQ!Ge&x2aG>+KcTQs!D#vZZ();j4o$K z)`A_*an@dtt-OIV_*I2_q^7<7Hr{Apk*~|b-c@RASBOK88HDOHOjqh#Enmt@VZ_h{ zPjo?cI=s(|ZBg6B3InhQ>D-jXJ8w~*a4bo5QK(23+1%iz5LLoSwI|b*488>iU)US4 z?9SJ;!P}@PnQr)VQ*ntBE|XM?R&{Gmz0wvlt**=~;Ph5@tF9F6P%?B8qOr)!l|mp5 zH5yIP=Js`=!8Fw)MZ2oo-hNw26Tx*cM?39`ylm)Xvn5jCnGX?FYq$!y-&#$mrADd$W9%gK)wY&yq6VZt}kCd?}zs9o%wc z0oQQ$@b(Aw4lf)X*`$YUSF0O)rDn93(u^v&hJdW^Zg$j))zzdM1FNOM-kfcEp^z9i zR1N~vqI^ihq`v*Zwr?@1>;v}Px}XC3zy$?L^emrM4u<@!sy2?0bmN^H;pLm0Ccm>i zG<)_5QDw2H=W@giS=0_DtK*Wz)2j>RYx*zdXBGzmBz+E%m}D-Qym;z^ zu(dA8Y{l~t(#M&@-qKcImJqK}DGLSog$!-Wln*fkTmXE_|5;pQj`RY;5a3F6c`T_% zfafjve)ya}T%Iki8GLRLaL!O_V*L|pHMOd>(*>aTc!K~O{&nt5P+A*CzhB_P zowz%-6`peO2`oE~hphJC#()kr=QtwxZ74pY+diKl#{uap1>R8 zPOX|Gg}eLAleE=lg|y&Yrm-+dhCqXPAj#@Stt6`}wW~JyI3Z(H&V8MCu|>j2KL+%> zXrDS96|~ymt!POS9+h^Xb|aaH zq+E1se4oMXd;x!X4dK8zmif-ckOPt~_Kg_c3w`z>4Jq0gg-FHr1mDd~&SoEECm(si zQ4yl2DMA9@hQ0`~X5-}i1sK>pU;SiS{q!jBDINA7urI z*m2I@QO+Q)1bV#5(02h1CK+aMh#0(eT}OKsY62GOY@vb;CD$EDI_hdx@E!Prz`Z|b zDp*ykIsC(!B9oRHI+AkEfonznC}$5NZI1m@k2PQTQq%Jp2Pb3gC=RRKJB1a(QrRMC~?}bm*@$Q+K zc5lOT_JI|RZ}E}|zd4tITfo&rzhuXXHE3zTf*ajG<>IF)L1;yzC5|S=wxGi*ukew? z1D>t^@j?@vPWPVqkNO`j4oyGvITVd^kE}f%E#Q7|L}0ALIEF3B^7`92305M*@I2YP z>`Z|ZMp5jJ?#N>!c8){-+Ga{%oI#TqjN|4i#Wzv|^D*tCi-wuGO54`}o@A)QGj)7- zZUlSwXV4FmNWfs2fE*wpD;kL;Mx^J`UIG1w8m_gQoUbvdpuU!8)D0^hXBij;nmw6O zA-R}|VAKVE5PH`C`pM^>TOu^R;wL<^OEu@8oE}Pmf3nlYXQ`@!?a3!%d_nzfKqM?r zb5hvXYdX*1(neDgkNN62Jo2R=ekqDC-6)OuEe0<|_6uY)`9Ku_c~m7m38IEVEI9f_ z-mF>03$~YDhH2nx$2RJsz**mZt%T*s_{uvDb7H_CO{ODq0l<9dh#WWomH^(prubMC zkM1cm35J&;{KO-M9iWxM@%3Fn!yX_l$0V^Qi)M)MG9W>CbWGZlbp%`o>L2PMDiV-) z08A(Z5TinlWqgN;>=R~}7*l;5w+JnuK&Y^}t2`J{bX-cQX|D>zH*Wb7V2@C%9vgfr zlR_l4GB^iJ#9wYqTDE2)IhVOfHpK>cLTq~dY;P7 zTqPSCO{9I=bwf#g5>9nV;XxVUavnqsxR;s1$9(6^yLyHf^Obt2IE3f3_6)v9UIx6A zOlOV$_d?vs)2}()YwNv0UQD}_M%qwKOb1%B5IGz<8!}}#@ULi_uA`wNp%7}-)rEaD zjA*~yG9re!e`3gbcyoq{&J;zqsqh^&4}-CSOypsnVyQ%sX$>#5JG(fT=AVju@e4W@ zu-`$%24b&|MqTBWcE}z0*X@=;aQI3HUc`AxC0=y}9jug29h^-aJL3NPxzEwY>?fc5 z90P#fDZ){4F`kYJkd@K4cF<`acU$E9H6SJqIA~6yPMzW(vPCt>!v&tba@wOn>yE^_Ju z^zJ!H#bHA26OM#v^*Gn2fo>lX2~tl)A|v9Rt4|2m=~=#+)SO23aYNyZpE@NLMCz%} zeJ)~7kh_xe-a539^s$#xvBqK{)`e?DQznPY;57~&5^TAx@-^-tNx)4q5lf6%bViKN z56(u_<+LK$*X7|7j=VdQLmBM}DAbpY;@A6O_&d^FocDmj*l zC%xmvp_>^YGhh7d%s7)~sLDd_?#E*-aL=Sqd5ZD4B>jGx(kKuHh1h!K6FP#S>e^L> zyHMIid01|l{sGs4iyTigfOW^Rj8Co<83XeJ9qsps;^nwf^PSrBkrGck7B1XNh1Z4R zh7@nfhN-R`Fty@=j?7Zp2wE&P9L0r4MBZ)LZ=JS+{$p#op>1^2IrH29ahKB>V^-XL zi^_OLlRV=xiF&ca&G!OFyxXrYDf#$oiw-WW*By1ZE7%@ZXkb+c{Z0;#a{(O&8>y@&p4Qn*RZ zx@f^TNRO4(`IWk{7dO@7rqk~wr>W2-Te4nJN-zqNDOWM<&cDrk3>1fISRC z12XogBBSpog*=!2aYvJ_)_eD`?j4;d?05bIUYrNe&rH7UhtKJd(2Wq=y>AafeCXV^ z0qqUEn8~QvR986rPSQXp*%%L%v+UHuMlj-`D98QdB|2`KRc>>xJRqjlWS%X!3z%cZ zB(eTu<4P&mEQX8-e5;M2CSv3j9GP}`DNgLPb*^aFD-~Ydwa+p;?azVQ?!5oyAN}mR z-~9R4Ui@m5XoLV zlLNBY6pI~AbE@O9_BVfa`qK)085Q_9 z-+TXCpa0okf93tpf9DxgwYx9>4Y)W%2$Oe)#xrUU~o3FFbzh_ns{a z#K+9_fIYkvsyasFmPuotHq2Zde0wA3cY8 zxv%Wq;pGl~iE_E?Xq2@rEit!W!}10~hK6M23lM@{kTLHu+ieM$?>V=L7MH6^;W^`w zDVq0Hg}m1dAlc2`3<&N(jlqGK91|!M!|YdLUo%9Yr~(pcF7HDCw{7}%_)k76DCB{t z&100{Bs(R2%Ps>TrXKUO`5_+5yjWI$T+Uf%DBdy+Q#`=^j^Kz-v6cCXZ=!Pqd29+e zU>m2GA#hkPaNa;XrRH4o!T_(DV>JVau`7BeXvi_6A$x9e3SsOA(Q%P_wCCg!4>=xR z-j5NH1L1;;?*e=dTsJ+^*`r0LV55uT5wlz*_{z8#-XlJMLlFgD`Lt~R)u$%zE?$;~ z@{mmb;AJ*VMo+$8#_zTn2sJYBQe=28&O-L@!9S45Ai*pmS;lvVme9d9CC*L%ANt+u zDZh4jxTm9rar|r0f3chj z4{6tGJL|{-?~9~HQ(`&NAj$Q1IQ{S1IsSwa4sMugP<~X{>0F|ncfMIyC9tu1LtqZh zu5DL{ARVg@>V6eCYB1V#icxR8JnDqghB`MFhZ*VdT#U6DEl*3#qG&$SS7rRToal=` zk3Tw@f|KdU;Ki_P5GaK+hK~&(NB}P#F(fuqIRMaFAe-TTl`&njn>itE3Tfgwi5FR0 zb7d-LiiUPIkN@@g-+=!O`QM04>{gW)o7N#OC%)n9gfYt0MSd)AO!B#}2{HMg#+Ny% z5tp@xlL5HE6K*&!&_5&16{nm8?Us2WCk+$y-}5scJlgy|J^e3&ND>(lDXEw0q(+3V zcVb;qt&$N4G~h}REWVVU;&aV9E4&WcIZr4_tTH)3CXQ@P3CiKZPzBMOVQYsAMr9v+FA zw(&Sy6gLT2&Uel1yQ9zi@iZbm+I_`yjkq40*|gK9ofl<8=lR}o198_3B{UTUZU~e8 zWxA;TWTt0B74=VEAoS=&l1%#EpAMJkXugHx;Sy#dlA1D(TagOTw~qd4=1&$GIX#w5 ztC?oeYnslA-w-?z$hG~!0QeW$SA5u1Moz`_>Pz=Y;I}8&G>(x=Ak|IviEL>Tpv@7X89` z?>An1@7KTh_=|u3?%)0^mWY`UA)LwqrU&uRe8KSE-~8qKuly#iKwkYd7D@Xm()cqX zf~zHX!@$SD!#*9(-~aq~e)h^A|NO6i{k^~XLn9pOaz?#y0`7o?P|ICa*Urzs|NX~b z`rhN$UiAFi%#4)8{8ou7T-8}EOWgun9co3H9d!M{Ev zhc3yO+YVkCfB<^`tN#P_v{FQ*V9wCP^Lh4%u9h75u5x##w|wr1&$*y zK4X5H;+?opEH8J0mTW)ZS$9FRGYS()pUHkWQSLd{`3m=-4}3}QB>|mqczc!fp)-Am z3gBkIs3cq@pLu%#o|pC_(MUw#Ih(R;6i5OjAJijFBE3|K5WjHC!gcx~seIEG`AjMjfFveJwTq}er)19PK?%t# zJOOSGb#6ZhC5s^TBJJks$#Du%o8wH#eg-bTFPVVsUa!|Cy+3L%S)R$B0Xj=B6uF_B zIND`Tgo2Tf43lkDjmj0d0Sy#!@6;mU&|Z;lVYrT&p+ypj*(9|@G)Uah0=jTUPL65b zs59j~k&Ur_#86IYza5Ljs4ry`=0P9y>EqDsQIeh(1AgF^Fc@~wV=#+R7Ma;U?S5?#&tip+HVnB&0sZK)hhG1)eUzcgJA)`Uqe@(93soF#+Y} z3t`Vlv&YLuE}j`Wa9+|%T2|Mf4@oYu?nd?~oIXqGaA0Kpdu0PY1WjdwUN)G>GA_aP zP*w|M8lzdKf?+Qh-Xj>&a2+D_As6*>(L`=ntbjR)m#^d!H>1Ik;QxXcAzqzw2S_fh z10PvxXdO97ColO;!Uk1Y*!hM|EqgloIB{?p*_##h$pWxhz~bT!@(F)i4^;^?T{5P( z`J!;*1WK??0sGy)u&+7B&2=_vy{_u&3J)GPGy0;m<-Xup;gwn!AUgmdWr2h02C%`` ziiWXW)Gv=zHtW1)=1j2Z;NzNhBFcz{)ut;aS$XWQv#pv|EtRci3&iEE3mmyOcwp*A z<=yNmq2s33e$n12Q2)}`WicBvY1Z9_POHqdd5H0-cjYO+gf}l{v!Vev?$@Bx7Qtb9BPJstUBC2 zJ9+4~uWnMXas6+~Ny$Z1oI~NFUJ(zfd*;aV)-Kf6<9OCwAcUUc;Am3D(ww z`Ht3v7f-&^#3vkL2d08$4rpG1X_KruU}#ts*k4oLgQw5(X@7#E^t`(*f%$^;CdoKppO zAY7@g1=+Oc`-$&!n89Vj1fyx_!Y6xkt!}!qV}|1vFCeZTCro{lT_S8SjN;6Nk8iGo z)pD-(xf4gR@8U$}leRdb)r=N* =$)wa5>=7^|6 zC;-{DyZZ`)BLi;V*TTj%E{4qS&9Ke8+Hm91gYDT6+9wLlOC z!(XCP5xzU;1+N5H*K*0&Z`Jj^wZoyDPJXkz1UBwb?eN&G;DnAS>rYaGT;42qrCa%)-1t1@MSlaUd8M zGwd$#ke1&3a9?3O3^G!;VpgQ%x?e5lwja>~kIe#s8BX-gQnf8J06cTnCCpJ z>U_z-7<2$!;PHrij&{ww=Fu+CH+c0BmDyw(ja#tBBgKyTV_{nG{_evleERNVc^RWrEp|mt zQYUbm=xvb}1Ih*%@d&(99B6*`q!eRS!b}lTxv1#qHD0$boQ|eFV>L8tUb7!a#j~(1 zmIx+NXDcDk{(B|xqeEw!8MrFx#E_5x8f!fGT3EYvu`MV(N^ytK~#Myn8D*>63`XW$ zL(SBj%}j19B+!#OubdqweSt>=Q2OXjN6s&S3QrDDyO%qhB%eA%?hA2eq2+a(mzA6c z>N}PsR1sa!uj&8?xh~3u9%fHkLgcm(XHB^HDeCOH80Jd>_c3ZdU

      (reGWP7{dUa z;7DOcMMCJnx#klWe?HkPXvKqX;=Qv*8t`GaSml`R8W@n4Mb+uW>&aav+)+9hx7fo) zw5^_SzBy^h^x5{ue{5d13<)#xGHGB@6l|8z3WI1aS`KJYt~T^k2!pK4K}^gJ>cHR2+nat!V`trPj)5^{#=kj`nw_ zc_G%3j_s?W+x8OuSCR2zb;lXWH)OUfx>_~ozMJFv$Y%5P%(s9^)-{`c_lb|nC3fPz z>e~aigns)|mB)_0qh{$HZK-?!q;k)>`Fc?ngj1EhpRWrC*fcI$fn2~JT?h}l-aduA{+Oz zDIaa;wG5p8HIj-B$Djn#(Xn*WOY3OL+t>3Oc{Y)Z*#$VGAr&8snpY}0sFc;Z$xVYv zu6V0X-9)?1j7782^AoL$U0INI!*3cMw^T~CjltBC9!q-W<%;i``_1%$Hix;$aEkFT zn^-y-OM6<{=cXzvMW!SPvq1ydfLZORt3@^)%leaEPVl@!yPmX_>EIwtGgk{|W8qZQo+wJrD~Hxx-~93`tFrohS%<1&I(Zg15bGwK(?`Tp&U(37ynE5s&Y#xb!pN ztihDbvWYvEO-8aOP0n*8$Z-AX>YNjAENzBKAfwYvEPlHUIP1s>vJ7x+EbNbkGcu14 zs_e%$9qSY@J9uV9rp^2mEYjYwwC@^ePvWD;wa!e7B|)5M;b1K68R1ZFL5}LpMTcXA z7g6m+J{-&Y&Vf!gc`nbmfh-F0p2shRJknA6EcU4Y{)vL1S0E<-tjpJRnVYr?d5*z_ zC2%7xKVFplu$LDDb=x)IS|Rzw^m>T*U6)!p4Nk-(Q~%&(wDVwfX=RARAl0(tN$SUa z!^?7t*UZsCg)>+jWh5G&h$g)#yHZW^HS2JYMCh~VL^w6V;+X*g3EFJ6Z^BEAH9&iY zlg1+X@+Y2q&SB`+mQDfS6sGNr&ZP(AVTC{0VODrU$t(eEVonwv9WCGaO0`jTOGg~W zKzQ)@>)(3(SFb<*+dqB(wI9OQB;;q~gl1MwN2{A0KEJz)AG@}N{orRm_^roZ{>tOO zeC5IsPOFHv)CZ5>`WNrM`PFy-<}2_1@YM@uN_Xu|wUJXUOt)%DR)4GbscR@ft2Tgj zA3iu#&AJ$s>G5Cw5y}*a&s`jUBxS-mT$jl-1D%;irD_mtIuzo)&;K3@5wlA{l7{~- z3c(ep1Nx{GWQUCk@v~RHghKGpqaPopC4#;XFhz7Bs+DT!kXb7-(N+p9a|M|Nzl4K(oZn7@bY3>*4QZo?9EW>tKChHQ&*Wh$rNEUe8NFQLR?F zBe!arFl0k{cJ1xg99)c!BsO$_t&4}ajRIJwPQC5QYG2u#Zc&g?Pxj8dT8yO-+_;;H zFxw)GpmDlY4%%*2g6S1c)>S(d!j)3t%(wMer~%^Ui@Mn2WUy=7+F7tH<+cgOdS^u$FAbg> zp1C)ONa>%J5Y0(DQaNjE2CitdfQH2oy6%RKcJ%^}-ek@Sc}$JR)EDKgcmbj?+?c8@ zAhw}Iqp242uC+i^yubzXx+=SwGat~cHh}DIgc-VM7+(QT=5UDJ2LClCEeG$f?)1J7r%UCLFrS$#9#B|>f&-f?>XoVl&J3Wu=Orx~f{i73Z5zC2Pf}v5$)SOyy`HB8OWAw@X}_Kb2Ay+>Kg8$ zGRR?u%D@)-Y6}a?2&ffcAjXP1TAO{A3yLGFSky(uin>mgt8tgey-jYbQYTxIDF+LEzWpDm^i7>uv=q=ELDN4 zG*uLW2Mrq9YD>FV+Zb44FAMDl95ZqOD-?b`%Y25L0%rN7t#w6bhP};@+Qr;i(jY5v zhZ&1L;OW!Q>loh_ENQB9rPulkM_!)=KBK}5@UHzR7PCJ zt-`HSiv#FP^@SUr_IiEO^19t^sDudln>^X&zV zfSKX|{#Z~s{H2d%^gNFnyTwU8SuHXvD`PhV3VBj*u z9==vC6kX46bJ!NtU-qXpEiiEJq=C{@Dv^pSKCR3Tay4IH=wJ$d$)W%4_l3Rc$|bc+ zgE?S2Vf209Qu2nEb8TQnySfjCcG6Dqb-v=qEQ(lcrZYRhME0wrel`9Of@G>^Mk$at7{`9(>G8ZVY|ThQitZ7vua=M5^+-i!lf>61n`+Q zWzihZfS8joxF)_lz~26nsEkBjz(h?0M(LD6{ZPK zM=lyN5uFh)Fz{DY9eiLqgrl=kRyG`Iahr69I@CAuSsjheP)Z1O2*KMTQy$LKfK1%4#lslG^N&5q%4#6Y69UyVw~vwzuh=NKal~5A_kdn z%H?Nd%;ZAYAfsedPcOTxo;+gGVVz33Uz>byNAfB)2cYt&$*5`e7-Gw!raHBG&TWbH zf1l65bUwq(ove#y9}q~XuDp@a?)t;{lx9V4pxMD0*v>ya$6df`QB50Jo_{uYiFX1$ z3UGL)WpTc)%~W#3zHP#&SMCFwwwdaaHzBGWyas61^3JLBr{&e#Ry9Z1c)nv=4Bgsj ziMpC^*wOA-xfvGBH4IN6;Q8r+F=~4m7|>2O6|;A+k0JXW(^yLTU)r?Ll_lA2O~EuDW-zh!eaBuGp4~XPmGHd&>2_LB zqe|MO2J#Th{W8~G==EKwTjUo%sa@U|g#f)eg3*LEyrXpmpwV!jL9(wWaB9*)GrXU{$QaJk1HPCOZj$Io8)^ciwzM;KfP3g7Y|m_1{@zd}|y zd^0tSJ^?bh?Z1z5mM=W*!K2_(GS_N|40!5XJ_&D%5k52GI068#+UPh#0k) zBteY4sBtf8%78rpMV+Jx5$mSYcmW8jypuE$;steaQiL2tE{enMlM;j$c;@>Ep0|;Q zCL6xDg)gD$(*>6R2Xmqb=`=K?ffnE~N~Hm;?hFium+3EC|MkavlNjE6U85APjavgQ z$gWtl-NG#^7feCyE{^%yt^l~>m;~~tMa9vWW&!&yFcd>THS}F7UjWE5A3WZPmm%#a zLJv>Tfk$>*!1LMl;Jbpk8AP5F$5DKgJ_Mf_;*Fd*3=$^`6JVmnZsIyIg2kgSN{>ar z1RZ*a!U-dOf6n3%FcWDSvZDoDX58pl3d*v?1&1P)9b{QyoFyp@mypgx7+Fc?gSyf8 zk1GXGg&+x1Bu+vO`{r1p$Vq}Ij$X8ig@m z+$bY)w|C14BV7p7`LIrXDn1p2s+0g*F7$l3n)t9O@vux^#DE2%u5qm|eSFMRb>i8h z?_ac24>$%ebm9>qjQCR|WLT~96`eyHGT@k0M7z%e&7Os_kWy-X*~`Y`6DO6)W~BsA}NM> zNu6dkpNM#F&lgK=qN9B%y#NS-lHvdl|A~kPHdul4^$ZyZ+E2V;5U{KS7DIKjuHLcF znZ`7LY-o6tC)J94kv`Lk;$8)gR}l=4NR(oB*FW0v!e71yPRj2-m-2@?dPiv|Gb~&ku-aBs0SX1I0~# zj8B?`_6s&yo-bgKy@1?*#r9LMP{jOtYPCMupR?J)p4T0oyVkt%8oQl(ge0MZn&<`8 z7UEz8$*|l(TDT<1oUEC12H-I)85abv80K)(wEwtKd zyQT9Xw<4uy&p`y}TC@58nexsnb*7Qp-4v;Nah zGEl1y_O$BMTt8beiY4|yafF%ndsLJfQT0C*oDArw%;4vKROHrI0{8$j{0JY zaWMx2&9bVmjVOTBqCph#0XPt?>WUwT1{E=@5KpLS*0Jj})t<`8JE6J;3~6o{B?kqW zBV@L-I$zN8Bq|JeU5w=r*B}n?skdW6>>t&72Tq#2?tzXOZwEKQqrA;C_$UbPvvylB z5g@Zh3VaQ=2pZX21(fs6VbUBC6XW#FF~{-nNFhQ*sw0K)Q{%C+&jFMP@|&TUDNZe> zdQ1&EsUDpXYW6yr<)m6Qqs9$veo5pm((-5PNGGiZH&D|;X|IAMGlx$aj-7z@oh+(f z=WO!#WuoaJW7)`#na%_;t!VtfK_)) zWbvZi?FD@K7*u#wV^yKGh0IQ6Z>seohi6q$0`NizWZ^k>1q-~auHfmuwVSojtjWL> z-stc+FJ4M|6k?{6{(#wpQyOl~Hm+YbIVXca%*5OuqB05S7LRfYPAm5Bun~t^CC&iF zd~XJ`yloEf?qeEq+SrO4MW4}(*&fOwpYXg#$CXJxvR*Q6CfN-2$WH3<5c6|aT~+Pw z_H{fQ6^#NIA5BiM)B{SR>1pbfOtI5$C%gE#AGrIc+To^hu$TFcU&nBVZa=JOHKTcU z`#Mu2X{vJWcl~>OG0Ennh0a!Bm$PHc+2V(%?UK1qXqSy@*C=egP-i;zzNweF(+M%v zyDC=2sQ&hues#v5gD|9q1(3gRQ`LsChdcw=ADYF?AYG-+>UqOxz0*9zWm*c-=< z6XShzlvyyX#hsZb+E)NUQ|0XqHA1nw{WhIiXg8{8sciFAS4;@*ee1s@qlvxDXh$Hs zcGrnt9T`}3#K!};qP+#~FSN9R`ll9tAO4ts11934R&)yE$Ob6AZaG+PRw@o!H(^Ki zr)|XR;ikmP=%m-DZw>tB-6A+hiba}{m1rd0mbvQhl;UFxnc7@qPA&+}zB!j@o(I^J zS|%ZdX_i^xP`HQ>E1|RQ77gR6!5a`Pk7*`AVy@5m@b6LBi&AzH2@?uy-ZkFKFlX@Q z*XRuI5~h4J32p!+TMfp0Kv_Wm+q1?!(*miSI5h@_e_GPaMN=>g?r|>KdWMu~zA|qx zt*EKpp=@E$XB7_Zc$yO~=8(l7eCh-3)h0AsBX(iqo_usPy<_iW<$zhS&S_WzCg))1 zTRwTxl0+wH5Rx{dT{P7{kN*~!%cHC&6MkHq<{5Gx&p!P0j!GbC)x*q>{rf67tLPa1 zkX9*L(TcafWbcYiRRR~I1Ot;P59s^IX^{BdC{}!^L&O;pf60QxO^{i zJk^h<-I?R&hW(J5{F*Gi$ykKVR;rUD@*T%=QhhweCz_vX|X?C~Y1jrvhnL`kBvslyxyD2W!uHiW%5`bfq`v>q{;!yhG`lOM^4KdJ<%g6ktsqnzh zYG7at>2ANv+W2SzR44)QnH311S<$>0l2S=b308GM$4^sweSle)hh0a@jmm3W8IG#o zmwZ$xSrk0#aK1M#@I_Yor<}ah$R75177mUIlQmZr{57eog<< zH@B~En)U4umOJ~x`Ya;U3!tvdTL;{hfM%_EprEm_9_&^*9bV@1oa&*^!u_92=${EY;4&1Z_k{POvbfUstM-HXqNlFcbn=PS z2i*9aha6|gl$hUsSCIrbOfDQL?*i{0EnbV42*hIILd|5Ko=Bo_C#kG9$CFW$=Ljg{ z5GJa@!e*Q&mRW#Ik@+jV)Tm~1(AI%V!xGn?RNpmCQV?`oBe);~@ijOS>-Z zPTiJkJ!tjAr_tKqmvNgYkkoBSohq04P|9lFRuZoMG%Ag!nH^Ip;Y3=J1vfhYGwD>L z_cR&@2*7w$afQ{PU_V7u@&1YTsp@`xfJ^lXzIoL5c%wn&EDf+~hsLhBxQ3H*&>gtX z*j)jPXzU+k1XfLRms;;xM?px9!FnIs+xe2wmp>ZK0ZP2cOL($^mQl~B52|@XE4XTS z9>ADyHr=dfZ$6Yt4n)Nhs^^l{yp*{`JHsNc#e4EYC?7%m=r(T1<|XwdHlsHGP|e)0 zLK!skJH`U5Y<~DqY9;&;(}N%G7%pbjuIs@lS_nD&Wzg{P8YUbSrjSN7G815Oz{g;7)yf>P}r`5`nHbk?Cg ziC@+eEUyy?hpwK{(77rszGP5ztfyY3W2?T*n&{rcX{bdJyAqz_4SS>Hylhf4?+dsU z+@A~C=@6*ws&1a3o#q>3Ugb~F$hq2x;^Ly*tCDurrd0?d^n%or(6AmAV$>8XK#i&S zyii5;1eNUme^cR_VWGCP*+X?WR_!H&>Y*D+Cy?xif&++f&ZMRH?mArG-q$RcQ{|!p z`Y~;iG+3Tc)`o=Iig&&R^}_vaUUrM>st_NehU)i(GOGoESMOJ;hxOulj37#4H|W>8 zxKcdyXz-ScCuCE0bLmCQ#iF6PaetQo>=(5^I-R1)j#$Y12HASx%rG7{jID6Z_jn75 zlG278elT(X5YZoOws2m}FT^pHRy3S$8-&i^{-8z_-lkZS0axGtVC%>fu-9G5Pod-7S=1OG_R3cG7Y}5p+>n<2q##y$A4-iDSSUkiGS&fYcSkdO6Don z6v*A0_gz3*6?S?1_4Oj(RQ0|v8URG@ii%X6lMxDR1M`0F%pOv0b_h7yI|!YZ-*zxd z4o(cB1QHA`U2%$D6$|ReXDPmS8F`X-CT`i!t|GjQ1T8IU;)!qi6`a3z zWNH?8Fs^{~NWD+CQ9)-8YR9&tK6Z*$l?Mle!BT)w{Ni)GLEDTFgVbBRxY7DlIs2l1 zSlL&qTW@ed4CV&57^w#$$=(-7{b$MEzf5%f6A2P%=6E(KIoO2EFFW6qWD?>vix-nk zi9y;oUdUrGyi6rV0rRiK*0E7=Qi7$g=m1}`r7NB{xE$FnUcSQSU>Y#ioe)zEI9lRa z3Xxm}iBvz4fQ@;zFVsSE$Jk}j>0kZ$0aiXlGl>~_7Eu{`!DVbQ8S%>A2;En8X;-5fpM21FLy(CA^kAAgO$YlO7}jgN1mtid+Tp?|U%_W> z^2gMHExJqtQ59PJ&c0%vdb?qYjFp2(R9v9s0BKq0H9Myx>cE6N2A6>^Ey4<7r)$+3 z+w?V10H0-CxKfS)Z$Oa0$YQsGZLSv8H4|!Mk=KjrLoIds$)HCUhxLRGUz`DRq*Z$| zf~i~Dw!?5Z{@W}pL3SBNLm#KUJQ>f*Y7P&1G8!0=pEEuFyDx;xqa@`)p1Qa>q}H#V zr8$yFG=$dX7s$fU!IC$$25RyLwW1Xh%gLQyFXr`4;s|8BSt6FL+tZ;7&VT^0VKxdK zj!vgS(T-qPYO{vyPdY8&`h$swcR8igH`O?gDH`Gh9iVFJhIut>R*Ik4$>gE0sM$99 zRZ6w$o!6CpL+kL{UlP2>ssG9cDBFr`ot7hK0SfV?GHp}~*7)Zsea?dhe^9qnt98e~ z0R7c>?*j3G8Vodj2ngl!tjbOufXuY7D%u;a1!_za+reGhJqI^+%yr)ZY!W{@M|T~nogLE zil@$c((vPK+4CQe%!O(2YF6j(yyX}yZ10)!`9L!QB`D;Pb`JVV=-;iKy=VPf_l?7}CDZuy%&U;b;PKVyQ z+acojvDjJomQw4hC7jurli*Z3Icf>_jC5cH@riVB#4fG-WHN#?seGtQ?#E~Q-?W?Wo#q_} zR_LFX_WHcdFbpI3$Mg-Sx!wa(VJe@Tokji7@y`^%x5D&Tx+f0zP9{)a`AARS$W*@1 z+MNm;TJL}t9GXPocoGTUw&(j+q(@wI6SL47!q?Zg=aIK(s|9JGPC!8z=^%HX-A3?ghaAj z3jb{4QT-AIzOw~m>0H`qNSiwBeIW6N1p146VpjjFwGjQk(1ruVgd4%sRl@3XT#|bq}*>rRU0x;=XiEqgh z#0}*gOjbIXX@o5+!tM2r&B^(O-)`@%kdE}Vm!PLH_*VR=X8cy@ctw+q4uV@Xp95%@ z^vSK@SPvZxZN6>Cffa-XjU=)X;LXkR0~4}y#O;fATQQ&76N=V{-P+}0_sGDnrrd5Y z95nv;y*m2$R*g@_&76^8w=VO8oQS!N=JzStuPZW@9@#W9=N)iGjdKTr9p`IAPQZiz zntf01?XwYy6yH#~SU;s)shV*0>ri#8j(%T0b(~?-i zXN+uAmQuYla{;bY*BHVERwS(!q)%{2NiSED!o>i&$fY-$EWUC8vsWnzI z0)^ck8b;1F)M(Z#1~(HgB#ncCronPFB8^bppkc@o!Q;Xnmpts)^;sJmJ;+61Zo_$- z5!VtI;Cz<629dVnA&p~R!$^R)6S!^B@A_Ps(eH4X5-2P!ev3kC2~0d-COsFVF^52nx-Q*4W+i@vZKI=h()Eeb$y;0k{n_IVLnBx!;SWb=IGIeG z1dQLcP9dj4`4;G;Tm(+FSDT?|zD_~9%3_&IiWcGLhf&_$%`DeKTX^SJJ6bzT8G>;U z{x@pZeboq%H}wQ!wrMo-k8B*lJ^WTK9Cfv_JdGl$7EZ?C8xCWHq%>IR=OrEV$xa18 zdR^IoDa>!*sGN+$tW)5ZNJ8&2O;V7s@6?=684jJu6EL^X0Xo!4VxNxrA-rX_dulGy zK*mGja!jS9h`fjl0a~4Bw5Hy^ar-8-GsU=da6(dZ83tZTdn3F$)$aDY4v1DV2T&+! zqIHB`oL~d2;BafJ?d`XP$vAo5+0t%ByE($*qcE2&OVHwk3%BY33UuSr*l&>{X7OdqJ-7F?INYPt`pia?O3hpAx^`#}Q*)aMmT4cO#lFcG z11dRfhQk2Fg_4G7vg#R489E7d@FQhf%U;+3=h=H&an^{v8Wd39_bN(UL@sis^~62z z&gqtlcS_z1;Z$gc8RR{dw_ct(k|UE(-IX{vQ(CGg;{voC;DI>}X;l|D6>wa&f5AAT zhjwdM_VZ0g3a*r-H|IgdsM2YX4PzBr^O+;wqkx3(wnKZ2(D13D@^YvV;t~Wzagq1# z&D(-j0c1A^fanhEl|9RME0izp>lQ|RLQlJ>ilwoF`PZ0kd7t2!qkhBaS2Hn zJEv4}+!$2x)IBQV9Xh?(&0K3JPlob%esJN8Gm0+hK#?W)wWTkXCLIJq-}=8kg@^?B zb~!pQLEH!zMJ+r5vjgaM=qSCzuVkgI*vCf|watCp!8a+t21vyK3}-P5^DckXYDijI z5U!nvIqa#K;uu78Tw@a7F~yJ^mB=tpFM}9R4!(1!I+(3A_}LA}W_y)6OKWv=&_J*& zOlSs)V7f|)&HS`sGN-fpyknmroG6XswBKizTmq{I0CSYt^JH`GV942kT;dVFtgEdJ zrntHk{GJ`0Wf^6-+2=RZ&Czcu0b<_1e;BlV~jRC#~jsW^iXVM0&pfrE4*9W{S z;>nj@lI7HMVW!YGnXTeb>*7c>{+|k;OKWzBo!6oZp-xSTp;R7B03SJ*G zw%6m5`Io+nXAKY20yC|Er7ws~4v-)8W)2Xr)(jz9O=d;omT8BWr8oOa&OZ zIGconT<{cfAy7T>_7M$o;S=SgQY;sb_LcLM3SM%_5TY}6N|srlIJq-%=!9_=_|{iH zAy-%C5)Sj8hHkZGB)<}dF*bKxLebb+I{>|>GSVPLYH*m21cj8=n#pw=Gxg9Bxe%oC z2x#IB?RHzcpriLz(LgI`UEbxqF_=sdvQX#Nwa_7XQNWMMQ54astjr4}DafE)(=3DY zi!Kk~4(XEvSQjYm#l0%|^~H-a*VzKe&Mu0=QL~w9Ci)nR9OxH2<{)|ifqV7F93bk& zo`g7%JYSZsXeh6@IhKmg;6AKXOU1ue%&%}ZZ#n|1D_jHtBOO_qJ~+;{(^a`L z+E50y94o!))@lZ&L3VFF5`I^tABibAm2peIb_?1dTeX31)vRl^)PIjMp-m@WaDOM@ zLZ;fnm$)5i4>+(h39x<%vi_uz3T`IJjfRI>;L>+A^3c(W zh+ayQUS^TY*P20gnYjAb^wJL^{*_KpxL??*8(L;^sv?Q5{vYDr?N^fYxD#uVlI%^t z8}P##xkxnG4b2?p{nCKnZ1~ZDf%S{whp(!#s`6A;W=&qs={hiA_KYmq)Ka&VR@73L zot5O(aK#0=6s3`Pk+Ds#?U%(6F#HF&cV|G z`0iiC_eK0-QJI|0GrEXiUq(#q(!zi&FT4no?w*;p(jp@b6G<0x;0u>TugHoKApplk z^`Z+8MrFvK`Vb8Oe%xe{_Pk^79-?_W^D?kG51*WV`3z zHn-2ey~>DmOPVQ__vtVdNdQj{8U2d6gnYkhIoM$71VxlA>F&?pV?ar%cC|5?%(FEa zbvx;sk2v|jg^T<($a!G%l~{3vuAAY(rfc!4SaXT)U+S~~$y|^D!!`c(PwNm2+*wN! zGLC%^Jrut0?8eRh$nc#tXp3cER-G`-_krdcA=7jW-{}atH2oFYNQw+BYuCU?lH!<= zI_p9Kvw;H{JCQ@BLWhP9*_R!}O}J1Y-6S>^X?BU%N1|Y`OOK8=GPr#!2;t0-@C!ch zBE!T=0DDTyKm3rhZv%H67l;uFiM+(Pq~e>pwW64`hR}~<%Lky3 zhekU-vLQzyH4S*riE*<{xx5u&OALLg5OpAxM&e`IEvXh-av{DT&lRwsM9`-6bJa%)MJRT@<`!Z zw`i&rB&34)F{%*aKG}tK>QR-W7~=&G7l%4ArylpiFedp4JVhd0tWp=p)X2a^e_*Ua zW1G@=QU{Rn;UWF6i*9$Kn8uDehE8JuQv+1n*tT5KL8f32EKNk6)R_CI zZ3cT?#vG}RkZ78!7Y3N$Axt|P7tR<`n&hEtU^Jf6V0#F#_mF}d8RPL}L)`g(*u$LV zUc-1$MLfVxc~n=<%>gG1pXQ2VVe)x!A)=-BG%KVM)Z;N201_S0v8ZuOg#+U61xT8n zP|p=KaMa_}Jy@)+3(Qmi{Dv~*7G?{zoZ2TP$++~8ozV4QE_gI4!vGlT@BxY$r1h;# z)~y$WL>~KaQDYc$msX9dD@(s)5+i*c*kV<>F{+C7=g|D2>BuXciUMgrmeq$oa2P$^ z6C7}wj8yjk2>>u?z?Zc>qt2Gw7JRWkNZB~y$1zg36PmQ4&t-{&p^9xwTx|>%8cc&l zgJ5IVz_`#n<>^3MC9gQDfs3dFYJVcL(E&(1+Ug}R%RKZnZ7qwmK`s`wo=rX=<L_=nw(W1t&$~S3+(7QbUr5ROg2l{o_5P$@Oqv zen1uC@=i$QsifmmX`+cA8aqCuKF_&H>DXebSYzo3P5iK@1C9UCxJ*e;tLt)^Nybeg z3AJypRLgy6MGvi*3EVS6kQuAHwTPrfMB>;YAv}@53BNdxxZM*)LZGYVhNn{4A;|3r z5?$WmzCzPCaONhaTU-vlX&z}V0;(hB8(YqSrX832S_YF!p3373yf+2Nq7#~MM?hro z(D=_k$MEHIhoT;t23Mb!0KX3ILr7j&0E_oPN=P|#)ewXh4$f1R;1(G0Wl8ZSQIkos z)j#FK+o%J$F|FV_vp)*z4nKX&ig&mx9PlC#^hQNT1#Y_PWVa-N?O;D{?$ZC!B-(^ zvfWi$Z?nr+X#9@ocIry4Xba6ib_MsCyQtt0i?lr}_a4={$rWxOX{V!7_o9GTnYHrn zQF7(nuUuAT_5Dg-p`d?{g1d5oS$3bISIyP^3NFf&W=U|bYTj&d5-#ppzD2mLx?kA> z)eY~{1xivgt)hGN*OuhR_gN|_yZha%EWhpCtK@QDs7^Rd#XyuZqo>`{0Zv{pbKFJUy2AMzPAUGAni5mvquNc#oaST>&6+RVk!6 z9rqRAd6jVRROW&j$LJF}&rT;+TK@>ZbF9_irIT8*759M!K%KAgbXU`2){0o5wV32wW`D|6@8Dc$oC3sWS7o3ZSu4z%;K0% z3kk38hv9XP+e?!lduL2$UrvdIgRftnX<;u|0~*t75HGm!U@ngf&e#NW3{;yeXK#pk zTkyC`3%tr0*lAL5#wKLANk%q=oi^hGA{F0%jV+ zXHJ`!HHxij>e+FzS*>DDtAoTZ^YI=&=bXRPK89kw1kfQJef2gSF*6d29VQoL%P7vX zu^NAMZloMrgBfFknAfAl$N-{mTxP@|rK9fBq~nqd=b!(X9&k2Kub|L(*?sG-V{}^L zN?yV{t6xA;nhbb!)=uph1P1}f{G8Qs(Y|LKA&sk}0zN@&MdjLZ&lWh%f}GX{9TQ=* z73`Kzlc|T~et3kqo2h^V+>5JIHv(?MTwUw9+dcnN<|^-pe-ozBr^+;zPK`fRroJ#u zKK16yWyGh?)cI7I2Go4MyJDukwJYrlQC``$+)T!&SNzz(#$O;oHqVvXaEp< zvEX1s8Z)G?US&^_ynt!~q%sS6WptXzZOTYjNckv9A1{!z$MuZGrMWEWTYQceYa!D5 zw|LOv0nLg?plu~aQ>A+jEJkV+B#HEa?1*?I?%Ms)T%>IS1sK6R_`eOOk0rxyi-kgc zLjMD^|B?pGN)KeRl5(prPWp?KQ=j;W?>uf+psxzGiHW~UfnJuUqC@LUbukdV+;9wF zO9wM)sU4+z8)bBX7y1Dr9ArsP=ADpTk?Bai20A30of6U}(^2}jQpOi}QjKPmPEQ$3 zD3O`bB&`#-ku+71BzsEvcYo@^1Hhf;qj)D|OsY62gV^D z%>4d4PW78e5*@s-6z;!fqqx^)mb5f?_Z>PehUyJ0XH zK!^W(Re_-v*tO4%=K>wyCxL!Qr%EvE&R1_=Fl(Rd&cp>?fcE)zpz(lw5trP*bwBy6 zc2C1&N>c+@4Uw=15{{oVnsl(Fe1`ISOT)jdVeM`^fZ%#~=H?i-NA+VMCwf-EVXF8a z5GLW&567LDBR`QjG&FS*+%28h2*6z8m6MSlU61MT)5TPD66(Ojj%>Ir(II#{ErOny z)(5SPQ#v@Zy5_-9Bi^e-4rHcdi zMnt~l^^?SNp^`-S;rK{&jf4v4hypE%i2@ShV@viOpJrAFA}66!5x20_q}hM|*|V3O zd`)SIvCB6^92LxWpB)~jF?|eo7_5#{Qn0VW=!%p(Vz_KdSJR^K{V_x8>4zpX^5&RJ z(hw6ayANk#e0^Ol5AG8oG$~iz0d000C-uK=A}q>PL~%me$ve`t=FaW$Zc z&qW4(bXP9=-9&1H*GUGqJQ3O@%2~9PG$^2fe26GRew3<3qI(g|C5G0vWZ#8lxj^vI zaK+3U!K5q4C0R&YV1!7mnK6y!W_g&|)gPr7Sc<}|-rB;U*#FKB<{yG)1(X*NGJtFk&m^WMogVTwOA-u!pQ zQ8yemEWyH@Q(98c%kNdXK=`o!OWq^uK2FCRLUdpw!99fRFyL9wJ$z;yVKNnG<$ z**vx`5$ku&QBjXv2Y++uw)qH=4trClM?_{l&m5}*86peVOAoC_1BpDjS zF+xXI0SF2(%uof!4D+N4V=1V@`0sckDIV1!MqRZ{#lWcjH^F1;K&E7Ns7+vxE7J*l zxUMF;KCZ4$U|n;_w^WJU^vGuHxSH;{xoTOI4e6PPM?{Q>f^_uziE%+IR;!}_zpkfShU9o zM@V7@gR~8axpk#9S`}FN5pCCHX^*Fs&R*KOtS4m!5EHssJrri6fOjihm^6oS2>?Ee zhXbUn%yl(MTzIFC2!ft~n{R12lYzo>5KJ+m2zv^ib~1>I@;XaL4UU26Ga`ztRk;F0 z94EN;s52Gq>Oz2!uf#^k%!nZF2^c~vV0{ZlBZp9FIc|*jn{Y&y^khEE*|k-5_Tl4 zJy%-2Jw(;nxRLkAB<{3>hsM((;s$o40crd4 zUO&G$`T#2(?=xOE?-6Ir6k$i<_Y@3!emajiSP{`-tUC8}LDzmhfh{;1^qovIg<%QC z<-@Lg%#jyzERhw_jOLe{Xn5MFql!8z=1c_Y>NqsV<_?I*1hJ*a5H6)!9$ZBZa-K*Z z!@`UOO}8gWIuhxC(ZtuY(zRWL86}*5y#poah*&yup6|-*dYAQc#&r;P$LPPY@jrd; z!2{%aD9QmX$(o}j@x8x8|3JwFwxevbWD`m9MX@tz@tQr51_CR|1j9Y_tdxL9k9ZAe zK|@%Urg8#P8DKu~m2`XrOsmWEMW)As`YnnlOD0!zr1M zC%i^LK;SooTyZv24hf;>G`dwo0TFe|$g`(}Wa*RDyUx;lWnQOn2!$V(Oj5E?K`F0{ zq<+kWhR7AXujvqO_&JBC(6wq9dSzZXvho%;A6(Ss+HKnv-l9afd_E(JEkFl#>7Y3Y z%ToI)B1KMpLXcRb2V7@-*?C>)Q+6Y3l<_ZT_mkUQ;5|eSmg>{?DDo+9URjaIPwugIPIUcAmCPp{{7{eeBkI2(*B~U1ea_iWS-am3UaTE3N{tyb~PUgYuWFEdw=F#h99=}fJ$!lcpyv`Nsyv`NsyuKCsuLoD6WlIJ~(QsZpITwl@ zhY#q_S7o~xe=bi+3?IrIR&WHX``;O7_!@BIR>x8P>iFSqjy18AP3SIcz!4266h>5B9qjwR*C zK&Y2RBc_Ca)LY1|HA?1(co7WdHT$-Hq2_Fcc!W%0{>nt^Nb$S6;$Vd_sV3z7xyW;s z!_J*j*4Z9UGW8)vu5_KjcBll<{Q*KJjP(3~fjQ+;!Ki%G+&uqNpmqU4w_)=1t(KFI zOT0#Qm91KudYA3~faZ4$3Zv(i3>Wi6K#zwPES;pBzD6I zR9r{X7hW#-1Gs$k7}#j=pX%$j&2qI$bNW}AsltM#x-mc%uGBmv%^EP`blluI zL6M}!2@>CTNW&Y@Ejx-S>hd+h$vE#(ka&SjDqc^KyrcsHhHS8sz>Zxb9-(`N=fzN$ z>GVp0AGpBv9xCQ_B&Ry!we&QpsJ<6F?B3SXd3Hy)P&rM1z-uncycvW=!14YDjqP-zMzZ^no1O%&1e^kY&3T$YnB0)+uf3 z%XCPOSC2o{pCBiU{3?gDWJnOFA6zpw+sV-2Ef`5N{{gF7(kMt?*P~QR5qPC`+qu!J%>%dz}Cp zjZYe&JL*g#me1dWVZ?_X?FEw4M}2-T{xuiy%R=km?_6GMEQRTJfVCV_0m0*zS+dJn z|DENqBu1to9iMhY0S3_wZT{9~hBjI20s^d7CHv$!7aDCW0yL+tdr#>Ml(FGxzN60( zAY<4)YzF(@j80$rsvz}C!F_!G)gRK)(515#=LO!pp1n2i5$5u zWwSbEKx8!>M$fW1E)ou8IjI4ewaHlaDx)qcao(>NCwx^P zFBIQ%F?&6>8VuuAzGl61)6r77SO~IQa{Qx9)&%bEj2i$4LInQ z7XEP#`Xm*0L}*8y*hG!D!r0d20;P^*3+5yBcxZFbi}j=yBWfayx@c;SD_$H&O{V_o zsJH<>le!>vtpqtnK;AhbA{xg+mbGj}1{mVkY1f2at@C{eBd$n1G-J-~pxT@$>hw6Y zAnx0*S)3yT2o@RoO*RL3VsdGUEhB%9Jgtz&7%>%-1lzIQ6Z`#)IUyF0&84J{3_;gev>$PtZ}XOI8#XtNv#;!K7c+=`vjfd9AD}@8Mmk7U?Eq#7RL2P;8WQX}$p!MLh0$a7 zodx~|lCT6+7w0h$XP~HRCW#Gj#xWC_OhY3$kxA%{bFDa%C5EcRo}`=>#qj~2IN@}L z$0p^38XTGi{9J11ez^e>YBVEWmt|8gD>{RzEHG~apdU6jRe7|63$i#L0U-IBU%d)l zg(w0#>X^&F`HT)iAge4p@cU9#0@Q+ra8uHDF1HAVR>>*_Qijs4qr8-FUl{wM@vR8NUOfrd0ikXV1#TV!|xcYy@u7+Pc~ zsT<=e&9Bl1Nn%n?%L$O>mAO!jMQS6`OtJnbzdSmKk@^N)0%?LRw^>yl8sND}89FLb zE26pml>K2(c{YGDL$XxZEE%=5sNpM=nVYm+uW9;%cMNyi^SndjT5Sr!0$d;uYoi&b z?Y=yaHJYn-nH8w3E(m_UcY9qgX+(5o+pJ+;qy%P*lz7N@Qb!uh54fN#jt(Y(<- zbDGU-7u8QJe%DZc@IU0~vP86AUo1mn8K_&bKBJei z4-DKe7TA-CoB3Z2_0^xFvn!e_t6DlCxT_O%wp{?G}nf^nN9>qYFC}@NurU)iB z5!3_A?#0`G{^IRF`}miB@xyQY%3pu)nMH@hHZ#liGW&a=SGC$^R*Vq#hsIz1@|QpQ z<9C1Z&M&=q_D3(C{l<%DUx9yVwxhx{>yUh>Mz#!ZAaoGJ?>#g={_nr`;@Lm{$-7^D z@$Bbby!~sOMf&q=RgsbmaRvQ9-KdOgB^RPu_m- z#j{_3@$5H=_M>ON_;3H>FRYzv$jIV$k>E00WKGF533a1SBwzm4i)a7n#j{_0@%ERA z>cd~5zWKcu&q(_FfBpU6MFZdd7Ao`3xBvIwdYdcx-ivp>#Gn5;6|gw_1XZLG0ogul z6jFMpCViXj(tTPGA>ZfGJ`0Mzqg;-7^wIX;c=0xg_#QX>zkBh{cVE2y4fmUC9v;KGM2vBd{PPzy zf!_JG7jM%qU$>A^rE1ZTZH6ZC0Ktm(5Hdy*KmPS^e)tDp$E17vZR)KT&;9{=>+LVI zP*OvPoYQcZ8wCh8?r4YOW?gFMN5Aw>KYaF`55Mt0eE8eH_7<{GG%0B+YS+@VcuQnC ztnibp-~Q&uU->x<%aVkR)&fVGQk}m3Kr8L?63F(L_U2-Ul52*zOc-n3UM?+#d{Ri- zZn>5pG+WD-Z^_W2Z^^Wx=>=?d{S7P)rb7p96@BH#-B(B(G5QM8M#ERauWoPJU1kAO zp6n{yc=Eaa>1Ua@iyoxAOZnaZy=)Jp!_jt?B8Ojl08@TYi>%$wtPeRHaWC6VdB8&f z4fbQ}NPpF&`RK$rd~G{$?!R3!YSMycS6Qha{sR6sA0a0UP+|}<%^8lO1afd4p4}iR z@~6Z*#_etFQ9tj?4e8^{`hYl51c!G`2ZDzFNW^fo;N6@#FeS3qOFD1(;+vLDeNc=J zrIw4XuH8rQkYEJuyBJGsO=zWS*uhy2#6+Zm29pKyF*XaN)zj?Hd~>%1_I$U`b;^O3 zqw4d)%V+mz%??<^IQ2&eH*ayJU~bYyRi`)yGnO2hI!)lMa?M92tt)1+ zR!vKaM^!G=ZM1!Z=aXs!0HABq3h$(x%&AR!qqgY=FFEin;{*q0eOwjk@ve1urok_z zp2(dH?|HI$g-0EwQK0nVd#O}CM4fw9-%IzC+0UoCPS>O)r8m^x_I~Zuq)l3{)e-k+ z`F*?hWJvF*?06cIeUQ@WisWXyH0RFo5x$WY^?jxwZRbFWGgs8y>K5X;T-~>?Bza1j zUXrzROt&qagA27#cM0ygxObh)k;cHRvn^TQ_iA!KILpTzg6@@<0@ zn_VKddyLYn(Fb$#GmSn+{*ndwsvLql#_R6Z_h-_4g5F1NH`q0%869Vfbaj{5nT|1& z>bSVX!gJCc%ki|MUP?NdC1g|J78+QGchPmVl_ApIyrN}Q@CHpLH0gNxEnLp_73rx^ zM|t17OZvG(yz6o@Vadwu=jlu2-?=jH)9Lr|FzP&uO!l+Yj(q3bj9gQPrb`kWJQBPi z&IyPTC55#h!%x-Or84XEiheJzl*BG;M-pekZ^#|o<&K(0=)7T0pGQSTy+vFp{l3dn zI3BYAM+S9Q57aBbRFY@gGt=3s(Fo8`>_OwO>Ms%7&yNYI}iCu4tyeQ(PVB%t*d43gWh!O$XOpsNwoBK* zM;(6aX<{-&`%foS_}yBlM&*EsnOBRZ?phVk-#@BTqIF(Y&)*+J#IFA6v?zY4uAmE` zCR*}sb>uH5#S7rO=K7z3cM|K5(!%(S&wT=)cJW4z8erjquX{@tqU9am8z zwL{m7-LYSLM{?q%&Xx15Aa*%4xX=1N5KICd0iwY9uLbBMbRx$Yr#}xny3w;rrEs324Qn%Ut%vivEo0~*V=O8g zjNI{^moET4l|wg)A_NoEdp9|)t7ZVxvj`6d!Fsac^)(ChlV61qX?Dj@$4R3w~ zTS=CVJ%P`Ayo<8YmEI*SQ$oY+0FLn@O&O-)rVdk=?2#qOH5C0|XbgJ7Vh@gX%St(T;t zjf7*4Gwf1%O;*UFtjcNagP{TuEgJSAz8*0^2zr{cUNwrsc>_5Si~5*f;a(D*ko0U^ zpV~3xdNkQX5E-J+^vS5$8)mu9O0e>WMv?y4zhRH+gm*^v4IyLy3VBwvi&S^s7N}C> zSc0l&xzTwxyK-0V;n3S|uo1|g6CQrh@$e!iIme@a_k;syp=kLKC(Lb?FH~`ya_egp z#=dRrvlTql^k7p*>rT<1Pe$60hE9p8HT;&s{$Jx>J<#Olx$?513WpK*yeKsOFFbxg z2{a$^W6fjhO3{qr{4RJB0Yn7nHlqnyx637-uq!_Fpkwr()F`*7!xBpm4mgr`F~!bV zrzz)r2jc?a{aM~txc(5FMfd^HL0OrXiuCdgso;;yYZGa68HCZC=!Ec-F$7{9>E<=d zDm~C{*QWUZ=tXNG+aP&-hU}80EtV}KP;cO$#7Hx=VP%!TOgu7IBZ1Q`4gwh}0)7{0 zMy>Xcv|oxFWv!`K@OswPL03~t;Nt6ae*h@u9a6gZ3G5(id*}w;ECK2<7iJHmL{`{H zWFLtU=<-IFq?Y@ymxe4~O*v^@mny8Iv^rD_ZS+jr)*oVVC#YAC(1q}eKALnemCQnD z`x$GVR981Ikmf1i<!+f6UF?@SFP)``*+xF{PkI&*lS zH3(ROPl^FOHe+C`VeROTkW{E)kl2#-eA)%5BVU2{maJl=i#11Ct825%RYYgasz*jO zpMdev#B`~$v>oA?(pTJ9JFN57(SkD}3ezGsDuoopbqYO%J^BZQ%n>^&wgTjFMj~kY zO!1jYDg?-3?H~d48G>%|M1AS-q2(b3babXPo5o3Bl$iR#Lo3v-EO28<5p(cGvpi(n zyM31EE(PM7ru-InO#I*i>96rZZUq;?8KE3(Gn9|0H1bNr(KZK$o8-?yDOS)WHm5I+ zjNj<3`&6>S?jtT5HLY)|&6%)~cVUz`yx%84F>D%r>TRF;(s$`UyU9ytHB(}GUEP&KrQD&ts`=~wLb zeYW_SZ;%y*44o}aZR~(ZfPM0J)^OSsbHy1fc}bD!o8=0y#89|1xTmb!9h`mk)SKB` zZMMnC#x4q^-r$gA=|H=I(DzY+#W}2Gl4zt5)aaw$=0Z z;Ok4XBdwO7s_c+Xl=}I5aM?bnJ0(j@4e1R4K|sF0NP8pUb*$;tE&E6=6fPa^KffZm z*F%&YE%fs0WHP^I`LVSI4(9=0MOV~|R@FlDFi8icUE@UhtnlA#Z2<+gg}26n4rG`K zDH5Cf?a7yWWcm5GDE8k&tRe@!Fao-yU(oR{FcffMXgFro76TR?2|@VGkxUTM$x=qN z7{0|NTqq>CEZ!e<@ocl;sL>G&UgFw@D+TY*+;t64XrR4G@wKWLu5AnmhYP->D@va( zj#8Es^#0KP`uc8(@C#On3`H9NeE%G)tVzw|Y?$!&o&v`^ z1DgBrxuChTg0x?*THxt1X8Qn4-!XSBxSw-S7AH-8!@Qg!)7$YBnf|o=Ev!AQ1~2d! zqc#ACJFWQ`Mt@fN7Ph1$cZek0bWKxlR^1ubS>aolhP`dD=#t~Uw662gx3G<^bj7&= z7G#$1=P4QHOs8dMEWOX_Bx@4DBJnfq!G>IA2Zom*1#b9DzUB|rdddGX#t%Y-^K^&w z2Q;aE_^V|0{qPq6smhq1HtYQK(|&9P44F*oAaIot30%|uT$uG%RoQxtuahZ(!vrCH z5=g z=F1mN+ry6-7@N4Q-vFP{++qh?ssnnV?vPNOz&7_*|5e~$1m-=3E2npw98yc`?I*g~5AAiKU!Q`$xM3$zT6io29ueOK4ea2yveu@)OQ zfZquQxsG#TdlR|dg>A2a?ZMf^DmoQYQW}xCg&XUOK!!dyC1rglj#elKXimhrb8(3? z5$9h3WtXLKyjq@@2Hb+lavG$m%cWTZd;z|ntM*(I{gF&((zR}IktEZubua8rXq_%9 zPF({$SMJR~WG->cB0TI=RyddCce1?r!i^`gLWq)49E);g;PmK8YzVD^Re9ZsyH?kn zdW6Fi<|7#Q9qL~A{%ry`d3l{vE2MEeUlNhHru_~Vaxd*h7dgqgP7E*HVc@XISnh>u zcM~*cP*(aCZv9Afi6+`3fpnUgm>{Q!#(C zNqO6#g`*+!XVc>%7*<|4Cwa*QBRR|RDNy4Yyc6Kw*Svyr?va}9j|KUW%tU@|4=)mz zv!RnH+HCxbuwQC>mBZs$71AQi495{kSJl!i)vl(dA^3>*5;vGOCm5u7Br%#bDDE4C zOHLD-6tazH#((x%jRe~P_00hJH2^=dbKx1CQH0HFq_wX)Ja55q62xyLpBO)Z(Kd%H zq=KyPA?L$TIy8LOiiQ_exe)F6I&k(FN_tkpCCOH=(<5nJS6SXyfC~yBI4uTJC`K3X zc=m7c2PmqqrwS5Ytt1eMd;Zw;~@}ST0t+9ase`YAw+nC zOT%@}{@?-?E5$-7hJ0eA3sqo8vkw>Kq%5s#*;ZJ3UpzJf*YfOhV-*SKcqsb!$@<}R zBr1mjQ!xTI_2}Z5_JB^SN?q5MLUyXUF?PUE+yE|Ea)-sSZCsb61Qke%=KxrVQ>i&| zXf(%y{*NH#;d3|gj2$gPGRVpuo5&SlrIBLM3b}yi8Ow6pa`+Ibh6t2$CBqw@-`OQ+ zQErq)17aaVo#Q9AQD5U80h?50xttS~N;}3L>pbni=1^ycQ>%qeXcR}aHTehQP`AyB zp{XQsYZwPcLpEA^T(nEMVnIX^wR|WO#jdeXIrRta2MikJpaq^|$HudtdYQ|Es52AC z2Pa7wWsyTElJgJDjt0IHd@I^DS6REa{MZgXQeMX#I62PL`#}TrMKkKqv8nsK3AO8; zeHusR0-n1aD8{pgeWg4{-m&F_o<0f^WIgKW8QBfV zwQk)enkk}_Y&ch+*g0$zJG{p^V07rK$SPk`u?z~K8gnjmWz$?c-g@S^W54cmC zR-F`HXkTtDgGL^}0UXT?sRWOnz2>|+0p8dE zYA0S9%XR~7jwKX~NLfdWwo)saieEHKt1Wg#d0iOgdJQ-1swH!oi%P+T+USBV6mB;% zwDa$xOktfyvc7D4DdpjqE#(8-*fA2`v;wQVV?3|HLG9Qsrv=Z(NB2c1ABwme7&mHB z=6xB>Yo`mrfbmzr@ZX0^IhIp1lmx`KrEY5nmDzQL7PmIm zpLOk-61}MH?PaQ~uF&O~Lbpzk_EidBPYUz=;2LB6BvxWYynp! zuB)JjaHO?76&`BZiKlHaYWKAnGj(*f-H|4rxZDo*B=uUz$)1vPvcW$5X4WPe+K%}`I4CEWFk&~qD;;wcQ_kKlpIl^(8ZHe(3zcr zG0M~b`FtWPMU&{`MT=lv8=`opNi<0)vF$>VXp^!p+MU$)xR$OSdEgPSekgSeI(t+@ zB~PkIRrWLlvmQIk5nJ4eM$}G!K#S5B4jnZ#l%vCS$Amh^QFmtc#k;dKl7ERTmeiM; zY&HzuY#0)014i8D2z}`xD4Qa0GHzbqLnC<+_f6cByat0^|&x zkxUgD41zmM7`Ic>Cey8-+}@;9xHIjJZq_NY8Lm48g`z-6x_Q#KsGHHcQ@R#Hl*8F) zyY;Ha+Z&gU`{^j4_Cdd1yFPKFPARl!6VsV3B}cCYTe{Tm7Oy*<*Ihj)`mCo%BFjWaQHe|AsshGXTVEnll+ks?1L zOffhnW*MMU?2w_f@nV+&nR(FIYFp)l+ud#?8G!wgsTlkwZQ!vM!nkU~9<7CuNYg zZKak~R)dK`D|E!sKEvY)?(uC47Xb(FC<)IZHWjp{T0M#6Qf*7v(Cyw*jSg0R<#roh|AAIx2zhLq2;{AzVcUbIxNI&Ap z3Ori7@~KIZRYBhh*$02|!8gqh{_=xwe(+uT@B8@EniZVzM5av~1wL+HW7pGcGx$o= zfcH$_H-G$9`t?i1^e@PoN3QQ;$|>+&)Q4Zt?t9Az&P?~_LGqw#nd0`wkbE(kALpR@BH{}s`0nsikJbwXiDW! z(__R;#I)bVq3;-dIT{AEl)CU4b>E-d#vn>UY~cw_ZR`!UPr`MV0EUXHKJ7P*#h-99 z#-+?R%v<<7ZcKZRhh(>oA3L^DSBr8{krDXgXTd>0)?C(W#COnsiCyFq&aBcXZr72^1*E3+O%fl#J2)kX~q@pE44*c{Sq&VXO?_0oxr&Gvycgv zj#D3J(Esz9d%%s;3DDs7Fyn-(GwkCq>_C?tI?d_)XV=j6+N|>yuV`mVGc2`33lQ%f zKv>@)CYG=6XQiW|bY$^!4m^Z+2)rwIbM$I~IhWG0g=eiMu<+()W);!}&Ppdk>BPb- z9F?Y4H_gi$%Fxa|LBuI@k0!%t0$=j144`+@^0R=)Pb9!Dhl`ThY#ICWvN{K1EZdi_nf7niJ{vf`Id8=^es+!?=A%8p z4#d5~;G_lDsxtY_gcJ(+2$FHT%#_6s5j5vE=6-p=yUSi}IQSGuyh~sd$Wz%D@%s0~ z_AU@L%3!_np1-G4y(*Co9nnaf>jUIwZZe`&O&j~NL>dmDlh#va{sk#Ij3|uU0UFGg zJxR?P7O+)sThwc#TIzk8xd;9+$F!9P1Xy>v2MNqm+*%{k z`$-L5R{*NvAjq#m7PW`Q5U`DaTP{kfYPnjOqz4ciB+f>j=H<2lIx$TgI3W)_ohLzZ z5i-xv;!xJ+8c&s7HFvtAor7Fv?rAwmXBPRKype(A5oV5vuYxv8UM--> z)y-Qiv7FaZBAgmL={IdzEjfyBHaro7o>@DDtS~ggWqGvH71h>+N6qQP1f(T&TcA#F z`3)vLPPsa|OTBKgqoZa#@6~$d{Kv@ZpNyGz;n-hyPxBI56r0N3Fo4Z$8T0c@EEQ;LvTh4Z{{66tWa?!ia6#U>oB>x&%tp z!fM()JMgQq_S`vP2W&gM){C6HaK=Ku&JLfA?_VeXH zM9%ww=b#?PgApe+GCXZwX|*g7zzbgxzF!lU>@FjX#%*9b*S_!ri-TJvL9h9UZ>Ju^ zGs9rabtEyQ|1`1Z48%?V-={(yXor**^b{`rH@fNbMno})4)AE%mvS3nuC8?Q!0N>wMmOo z>3VlG!IUPRcM%?j7>tacI`3}okloLjw{-!;cpMy(3bLy~NdJv90#3x&8Q-H$ni-7< zoMhfenGiN-0=l!dLt;VKJsBFEuX`#y9tn5Dd3Dr7U zPw{>`%T_q))jVC2vd*`7cegVbaeDc38>S#0b!TZ0Crf^vl{gx*lc|XJ*>ODHjE;`j z^s1z@rvd_@eZLK3gr$(&x`fv)Hi%^8Z=35Y`{85!sL z(Vhv8#)4hvRB*$=?A~N|bFhf|P-RV&3|r0;nD=lSolqrXB7Y!~c_jyyUP!Y_PAKEK zIHY+g%5HSVU4!>4+DzmG>H~^L^_8v}j-b&pFe_^kTs;w~&mDU*3EeSCJa1oj>P*FW zMAL&BO*;~PQu>sb_M<-{h{yJ@S``773zwN>IHq)IbptGcAvx^-yUmPJTbkDn`aa$E(%F#jE(zKKD0Tb<^6Rc|eraQUbc zn}TbSDSto{zY5s;I?-c(zy^-?&1K=;apf4clW=tC95nBkq1DFyJs(WcL^< zSq(a{>J3^i|J!Hplj)C4ob+hGqo0i%&Le#8mTZ)@jnmded;>-u6iALg_}(@E6e-HH z7kF`(KTT)c<0~Rb5r|}c3VFm9>B)Vbr`jQ^Ms_YuxrVy7*{w1z&YTM+5_&sW_7lE z(y;HZ*t6u7nR*QLixw9?@Yg6#)4h441bbb&x;X<3BCb_+PR0p&Q|`@c z)ttG8jQSq;Z>c@*tJu)LRLgQvr{^os=XTUAd<*z;p=Lm*SaGBptk?kRhogN!|^)%bJdlSg-4S*%`)cm};PVo!vF}}In(?1daLq_FtZvaFD6cWtF z6aWJ=H}LB=kt~jW&P!>A2mqpTF8}n$APj^3GPNOB! zF^}>=|I_$i&O5mG2PN(p%tvP02%rnR-nHYF!*14O@|sbfl3GVdG+SKZRovVCM(RAF zW*+vyJk!47qFT5;AICpQS$^V>?)F?d5J1sUy`BrwfDIs93mQQ<{&Hp3h`czdP_A>= z$66=!2Uhc>^>;NaX72&9{sLx0<||fX=)*=juG9?^-nx7V2}BZfoJQ~@v9Qv>33H}rWEOB z!pW!dEl_Xhq@FEb1*K*M@Zk7~r|ZG4c}yF^(Ox1fmRPbH=8Baj*y-!LYvRa!OoUs= z6B689_guit@X_gnlxVGpSw+U*`I!d~;F^I0D3y5i4z34UKEFQEqGPRycx7+Sm2~c&cdPAq9P- zD~vmh1ff$_-exyu4nUJdrEapEzx6I0pu>7ry3cSy&t}+u!Tv&h@43-M7*Lgc3*cuJ z02~iZTUiULD9sHn!mna<=ulT3t87I}X~U`GIU$`6LeS+<9l^#)!Ro5YHdNPPk|F*V zWkShNe{F8tYGvuX((-*0Qx_w)xHQR>8-~YoFKo;@$KqGC+T77eo@RP+Y4+{~f^4WY zSDY*gSO^P}KsM41nMP&@vc_d;LIhNmn7s#BBjsdOLtT6<2+!hx%4?OuD{4zeEN35X zkd_0D8FQ0KTV_z{(M z40v^uCaKvuJa5RrvSc6Mw={hj$VV}PAM8pLbFniyRJS}ckFC6)72I!}3sKRgm~lZ5 zPxTI#`qh9hv^!Rt;|+(ftm?N6cY;SOjhZA6HH)JYSThGRqafmkQ2Vvj^aB=D3FFBG|l+?4)b_nLR@qf6b zA!@UK+;Lc>xc$y!H(gwBASgPFy(k_bT+^}20>x$YOlTflPT{4F>y$ViL0!|QkmvV= zI#)aGl}Ktzq&{NUxvD{A$0N9F&k>=lVa~K~hr_X{|AN4#1r!f24H3(ei0eKCe2Dsk zYZQEfEuy0(o{ZjAq^69fe0DI1DB{ksooEVr?MkOgDB#)Q@Hhh53Ot+E$QbzA4VYA{ zg_F=rmqXM^$qK^&;e_r8fSTzz2zM4V8gNK7{2jv(;hEm(4Z@XaYEQ}Z@Y8I=IMQ@; zV>*%kYkgHp6Gd${f-2}*-F>mXel_433jogN-!802rZOKhgkos%=X2d z(zIl%q>WtoM%ERadf@THfin6ApBCjht=JW>`=Uk|Z?5mR^=l;UYg<05*#blm<@5I% zY`gL|#~2&1t<3b24n)ZnVKJYIeR>5JKyIG5&)=(-Er#0bDn^rlh~=R_(3k#|I+g-A zv4qwkU-8NR{2Nj`w|iJibN$L2AhQ5zU1cszx&qKS@*I7~?V-~gN44D-aixFvExSaC zN4oZYa{Cs##{T)cIqg>3RURSoWwq4Lh`LCZB18`c?S44)va3>WKk`_fS3! znQ!$Yo2?&n$j+pGtoFK&LoTqP!yO~d>9Eu-T5%LAQCd_UHJ5V}GpVyZ+Bh0IDelpNSB;&{lhmGzkI#9Wc$w4&LUCIx;H z?y`_eL(*{*dkt_4C7HIxJmnO^WceABY0h{h5|0DDB1amuO(GH#O5kxrx|eKPPy zXm`Zzy7pqJ57ei5_YTKW>D0ZUA=H&b&`E6V(u@?4{Sj8zxNO^~tuBa7CI~I8B;*h} zo^8swY$8sV4I;@3z6^)rubT`!i5Nf#;C2axVbu2xam-UoLz-b9^pH%05xTKa^6eCG zXXtDmZ@?n_M?ZrMrxm>Vb(&;L@+Yq{nkNAJz9!WVJ;quvbhxZqakXi`lh>@Pj5f<_ z^oc5Dk0zTcXC&@znj+~UX;??Hn*lS=nhZi5Iy`Pn*WuKcTn7o;@UGR6(%sOOgo@A{ zUgW^$&5(CuQI2B@?VbweVSU`w3A#NpKsh20803I8WavQ$)>EwNQV`Y|T1FqMQO^gK zEt9f&KBomx4w8|OdAvxo{WM#TFn~SFeNmgGqz}t_ zrz22-Xd-IJpspj#QIpP$^Po@ktt7=k5FC&ueE|h~xowxb4j%~ae!03y7kK{}DF!{c zgY%pkhHL6<4WMv+hudvuv=x#@dvm6r20wzH8)Kbtnx_=m*#wW6Hq2vD=F~xx?lQ-9 zgNGeM@1@W(2Av}8StBZsSp(&gY66eZ##Gnps7Hj9scpI364{0rEEbsNdn_u_s0(=G z9rGRwNv9G?NM-h+Kz*S>^blY$(neJCyQfL-q2Tqr0_ZqM*<==9Fp>O%WS>kpZS!*7 z1_uJWXA(juL$oSw?Xnrrj%5la&*{<`&zRwzeW+3d)sWv<;2laT$BK`nyT*2K9~deY z)2U$Lm0ZUot!TqV4uUiNf3{Li)U!f}BQ(;6A4b-KE1JRpJW{{mIq~)(oH`RQKMz517ufRa$Dj2pMFpw;gW3tVZ9mwVmf)LqhK_F(9LGv%ch>rB4sf79P+7YBHyvI%T-IYT(_ zyJtR1qQ@3zh0k%LVw1&hK8g?)MimlZ+42eja1y%~3GzGgrx@$3xv9z{r&y28N3s9d zT9;(jEde|gUO0jIC?G})K-OX`0BVQ@%>0n`WyTNrG8omub(z@lscKtwEtfgTMPxn- zIcEbNk_E!fKVgDSCk+5wn1u^fq6r@Z*ApsDnlF$7FXguT)b{xCusYcF+4X}tN4bv~ zXk+1OKek5vybEM*N~jAM(n^{bp44uWLSx>bJZ&i~9~U}|Q5jq$^hxsA+Ofsj*T_4m z(L1En2n;J;NJ;(uqN!T+60W!5(nhKkAV!bub)RQ-V@L-G&`h>8E7q78P0mW&1u0jE ztso_q^l~asN@Z>CpMNjUIlRP)qL6ep(!^3_NnujkQVWT9j-+wZ&LynmyYc`)95bae zE7J>t)8jdD6wlajQRao|RGedT*dA+@lTQ8!2|-la)?A|iU3UvF-`KXaJ&@w48Sc}K z5^i+Hs#L+%U!~?Fqy@T0JQg^{&g~onysOfkcX<9sD|XO` zZU0u5p;4#VIfe_|{9zDsWb2TQbK{pZwjWh8r8qT)ehb27T!H&YlV3cU=cA3eY)PT5 zgl#f3S#CTEJs67;0VM@+BRg(QTh&>4s7=yZ3&cFsoOr8In^u@Pw=r9mdvUWDM*2&l zm)~l0HnL~gM8;a>RGnSMvr;UKy6P(3p+%{Gl~bS;+#mB1GjPF z_#i;*(C)jPjXysq(D@8&YTPPXY?JwQTl;F-R)CVZMrBv#A%3 zrZcA69t%1}YqPJkAKun_gf^d>tIIO2S~7nTxkVE!J?gRayxW?8IBxbwn*3?C*EQRf z8`?e>@KvJvQL`5?*KqYC%hDS)7iION7_-2(!v`}rOj_CAK2y8mdbik+)u^)i3%Ih} zrK^4$s>?%O;&CQztMZ^^qDfhqyUD1H-3pRHqxm{v$VHIdNnQ05X1c(=v+QUE zrzgxtwcBT8n3`M)>W6cl%YXPvnRKogW7R~`rkZBcrmX-HJ4vX+A)gYgUr#dXjIy;% ztUr!b^W2A47$8B+xpIB-7vzr#k#fd)dBz>LC$Jw{LGsXY6U`TFC&4Fgjxz3e4zWkp zo#3{NJAJ$imkna#d_Fr59rL}P+3G zlUm~?c$a3mwaPnmRa`2a5+ErsCa+}quvQD}n$s*4CXT5pE7{-SgiPTT%De{RbYlF-yznY1QIHB7DRs`u{fZnV7Q3=#2Fa%V;QahdZSyu1_|{}hRW z_)g2}e4wpyrrlgJT`v>Ld9+#pgTMJBvVq*NtL zwW~7UlypEKYavaYK~8wm6jG?JfF!tWP(Fc>Z8KAf`m?q<&}J8&k> zk8RI?*5$KKiYGlV?y%|lxO)Ek|LR@ro`OdI$Q;)Vr^1M5GUj=%Uv3!-MCxafGx4O- z{UdP}x)c~pC4Aw3uu`dQPt@PLY999uF{sa9%> z2aah8pEgd?UDE}eX`a7ZFmir5Efd)Y^k7FTG6+-yXO~HReijKLB0z{xF;c%Wlg?h^ zGA-g=xVX?ZBuu)*9qM{2$)oB-WRn)Eq#Ey4QivW=Cq-r30D-9BW;hQp_)fi4Vu4}~xgEOqs1>RCemGP;%#K$wz3V7lL9ec%$ zLv#^Sn@I_}EU5%?={$dL)@JzS0rQZX z)@ePj6p}2&36xl@dGl&z=4zAfm1?F!edi(oqzk}Kn@dHLh%ClU+IMJ-Qbc>O+z_wj zeCxVa?IO(wk+G$gOMa`M-;Kc^kOU%vN3)8CQl!=L;4M^+$M*4@jC5Wp2AOaiLlq6t z9|Z%fFBOa=B0j0e%rt-g4K?Zqf6Rzf?j0s2FQ|eRRNZb=->>$lW=6#UE34Ezv{(y0 z!zn-8SY_4D+@={dVBHrQadHx>*S+O$|6tsKw!ON9sceVaEK(9D2mN(uxgp{#+<0`DhACosj=AJ>JrX>2q< zqd|s}!VG=$scSa5fG#8U%G_^nEZ2N$299g)7FP1qqUjuQYK{v|&O!f>Mt5axOc7<) zj_I(K(pv}3e%0hbxK&Ss)$-GjHAvdLMAZJAD1f-15p@xKVqx*^?Rs6p&b2JGIS_3w z%&|YItkAx-VXsTp*>>Ua=A5ig-ix7oyEGs^o{{E!Vp;y}z4)4Boo!c0O2;`_e}i7U zeL=rIX=mFOGo0gzH1~e8IG7=s3hS2H=R2&c&Re0u+m8|uq%Lq-TkW-&?QEu#r4|8S z8eaIlXx4{m@OwZpvxUw4i9IJfh;$_m_w%pT}>Cg;#ub=*)Zc%+4z zs|T*`OKKLpz@V##E)mf2tvoMSU0gtCk`ett1yHuks{;W=^|Z)7=2#pSF?*TgMd@f&|MlJ9^) zbdJH4X4Z_TlRvIUd}lp)obWijL9Xl7q$bQFImbe7;dVexrAlQ5Ka64-T>}OzO&2FK zIkE5P(MhfR+3-dZc9bN}-TguX(xJJMB2|?A(sV{lxk~OGRYHeoK2 zcS?4(V+V_pY?FTDB(sr2vdDVw|6BqUK|qD;KJHYo$>1$%zWCCYKmNtHKl=3_y!g^D z!qd?_A{FpumYN^^?r(nlwJ(44l|PdJUA!CgQNjvuN0()t;<*TLS@glvR!5Hu_br@! z>4;fXsp9x@lJwyp{L`O2qo2S0;U7Kw@DKhBBA;fegdJ*r_|0Gb$sd1@dWqIPMxzti zz&JTl|3D)3H;I$(8ia+GGIf$XGMK`-~XJRm2CHP zj*obhIK9nzlM|H+w3?!FWIf@5FAUH#D18yxsBCspU=R4hh~9zSf8? zB4;EZ)&htE=OryxoDKCSkwLxXJRw`&VU$XDBqZsC#IiH#4f2zFw)TnmT< zvc-?MNlMv8jF#`U;>Yo=Qs;(()IRzTzC!VZ=ecNvAEOaTa^Xc|3C_rEF8Z4d26vR7 z@U%+8(P%iXc82rWAN)wQ-XneWWtp0rY_aHD(3FUGJl{k16AzB>_Jth>9qVs@=D`C= zx31H$cj*OXrHKa`d-EF$Ubs1j30n@aH}xALpML8~0o9THo@j&Mw(jA5WgV(C&uDi> z2MGw!#y85RoD)+*UpaN4IgZK##Ev5EOeaPshC*fM$M>3*~OEYb0 z6HI|xLnT|KVa685Aw^10g*1ic@NPOHL>LSbZZoMa+z~J7WGZf0YB;05y)QcA5sDh8 zRv5f;???ZCc3D(TQuEZ~Sho)7p&KY`RjxQ7JCVe4Is(~z#KA3(0dzrofS+*krH;z& zsW|?KHak)e%}31QvE)3|Bu+=-O$0G$GXfgZ8>H7}Kqt_-z7^OLIv+s0@GX!OJFZ1t z(vp!T74$$whMyHU6RM!2l0Yt1Zx=`NQPkJZ_pHF3P=vi4PQE$o2$2&+n#%2{c#mQn zUP(2|*|`@g%Tp2ulL0H(!7aNGdL3cX6H4&U(18&sVmgR~!tY1Q?n%11ADmx$nBdQu zXp*2OaS)q))u%0G&+xi5A2BWiH7W9GPZy%FCvrO?NAj`4n|6ns^kFwlQH0b0Q!1~c zlFC6NPHWn1&^n^=TrzisChBQ$^}3R%Kzq~!F*V0a{6LqF`|^R5cO2cCovNglNdi1Q zLrszN6roT^LpUDbsOKB{Ea3U(Pe~$c*)D2HN`qV^SE{P0%Xp#(-Fo0OQX`^Ri2lFg z-lbQTWJ?Rod-H;5XGH%3mt536TbUW@??+0^`3pU?2=|Ea9UktH{@8J14-tY9LQD{d z9+0{vbzL0oTN05xPs(hUIC#~ zRWb)aVec|$L%giwJD0K*7y(Ji8fQT?wup|`Qf-{rU`f=~GU*6Toz$Ht4Z^igvaA)3 zwHQ>wkthtUp{ypM2iEOHt;m_OI@9&oN-dg|QfqvJn48zs68_?L*dyxngR3VUtqh5- zHoivm$t;D`m7bsX$h1Ik#qnhVDX4CnPAqM%-21L5nfhd8MA@=VHr82Ba?gEo5|Bqo zmGMOanBnX(E&wa&2rYd3HSeAe0ZSfDM<9hW!8Dd`9GR1Wl78*BG4~aVJZ6nO5PyAdyZ+ zo*f*GQ;#75A$*$kuP0U+e`qn~FWKVH#S7f6=r~`xUu!da2GSd_h=BMLC&U-N?`MA@ zsphg~;H(;FwH$B*P06Y+;WlG+YpR^o!3rx_Ed%M2C`K~e4@ zXH5X{hQ0zv!X7Eu;WSfpGs2L6fNRF729RYJ0x?4kpEuPv|H@}5ZZ1qOWp$d(mv}6z zJBdC(nwkL0R0E4Ic_94N16a98KY9aTGIqKA2O#_^fs0Fxq>0vadzUI6OH|g_Zf809<&OOKTsiwdd1R-dM_7&8Y#A&Hd|GYMpvOfT} z-+p39R^*UdnXR2Y9M88$^r=vHm;-dJbxMLXiA`Vmh^ewU&KULfKn0_26Ep?`dXl6* zEqr4~TL0&-O!ofn*pw4G>1b;l1^7_oADS3ok6v*)W+Nq)-ZxzGH2YN+c>LRlR$!nw zATGRANbS#@Vv8hQGL^8#J*X2?9oM9~1B}P#Tyy56In~gC(`E1K1x|om!QyuuZR=>pB3|% zGJl6?n$T2^N;jtc`5Ot^2@8Pq_kD!_=n^9 z$x`l|_3vGIK&Jh^tj>IH`rdXy-^>of&`(^%mysDslX~35_J(z3U+()O%(&rPiv+vs z^R<*HOCp53z2b#C4j^Z#D(CJ4f4_TFJC0q~dWL(Oo`^nh7QfI5ajOo1V1mc^;qya0 zpBH)X_?#-{H=6$jyHD~_-V+n0P(iBLsZ`2PkRgZIM;`y3%tz0z5p}vn2k&#;NY%r;^$tW@`Xu;%CSo? zVTmE5WsbIsLV6bY#wC#RI3|Df*d*G}s~!g%5KA&qGM#*y9?-_0egfB{Z2jYB|5mWn z8id2E6N1(fcaui6@{t5GDu9echbKTEQ0*+U;K97NvFb@P~i0d%fxI{qz$st7u)N{dcHg zr&CRzYkCZ=al{jq_Pm1~ta;v*fTY{f>%xhm^qw&0S?KeCc!7(f1@#|T#yE%lRT4^# zzVN%wdex6N@Sg`BP8Zy*-{Isl8NOCG^s;(#aPZ)$Y(2zpzRF)QuCGu7h z!}ptV`B0+^c~f~BE!tbFtD-|u!OIGyGfb+drTf+l8B9&kY~prgreV(&j%P2J%BCb) zv#850IN9Ch4$|2->1kcUSv%;!q&cLVpsHGPY_qqYBOX2gV{kIttXAx(84UB5ENUQsq%qTK zOYwA89G!MwJWJiKH@*`jsJK-$%aCykI&(<7)?fBNfNhMd>>d)o}9o3F+51c=1u|Jz5IP}dy zo7?8b-b-PQmI3f*15M{SI#CzQD?l~^ddleJYs9YD`e(lx(T#NW*c{x5R!G_aVXT3C zZhKo`97*)=WG|3Om6J({!{@c!)7-kMi{=o#;CSKSSXq)SiVSIZP4#7BG^I;=Rt%R2 zZsutzggL3e#WvKmp1dasu>fTB7xs${@`&zUvTwxzz&s4N^1dE9aeK$4Z3v{ug?n=T zi02%O8pC@DMaV3xllE>vsUA2OOnInoWW~VcMOJ)4i#q}cX*8C7Brc6zGw{kxr&Q`5ouPOyFt%dg(2`AX z1h@@#3Ghw28woitq*kE2>usRxAwg1Oqr{V>#EKI-g@J9ZrT*m`-SN~mmoyK-cqTgr z%m2N&)QVFlb7)PVNk>PT;(S)iapKS%+(ch`lbkV2Qgt&c#!WWO?vL~#$hjGBg?84W z>D8rJ_WOl~wBo$)D~{TC;%L9&&0dmqV1WS0QZr$`JJ&_h)aA4jAy>vHEBOU|#OPpE z`TF)WxRc;pbPUBU81QESFuELnI`se^&_;~o4%zGQSu7^SAI&F)4p5l-o^~|mQ+A4v z7g`J0%3t=@@}0XE5L!uy1PihW7$tKC(2yte4S*z#aNdA!B~RYu>@E3~QRNBD+FnilV<$N6B0$?Nr1^BAEy#=y?g zeo0*HoJgg<8P4pq%2h2YvR?rnrOO!EXylpSIRf=wUOlwD#UN147>T4Z9h#6za;5nO z%U<2b=(1evpZ!W7AGK5G#-OZNO_9#Owbjc(U+vIua01~l31B1fJHqAR>pTza$aKsA z!we9PVTRh(ty6Fc&5Oab-_Shw42ZXK0K7IxPpeK2 zVt8>)OvU_win&f2WmY78C^MRR2Hls!RhT+4NlF4>*>Vgt6Xwut;SNa1q;oP9@Ke6W zVUiR0g%Q~*)J~oU8J?4nNtHVKNT{QR5aWy|A;Haeq749EGdh!T(9fkfqK6W`)egAn zF{vBJp=7+D5s}HbR-_KkzzA+BI&M)J-}-;P`s%A4HeGmFroc5R=@6R|wRElF(`j1cu1*wb|?;A2TrOaWVGfhP{D3wyL zSXZS`nA+;>WXUE%sWTK}3=fh7-xCU5eK*!tz*!B%1+Y`HZEN zrfVcD-RW~N-+sNM#_c%IP2U#G;JruOSh+Mn+$KY?2ngK%hCSTHe<1k-EV<2+>}-8w zcxBJ>ZftWhv2Al=+qQOW+csxn+sVYXZQC|)e&?J&?sM;#)vNodx8AB+y+5qowW<)g zw_8`&$UkU>7MWm0M}0lt|Jsfn;VAb1GHXIWL&^gC6T|fk*#xU0T|JQN-gA>lM(8Ea zmVS1wx*fVKt{DD&^!_(O7oO{colS|FoGTMp?ObYNYi=$5{cC8Ow-9u#dQQb5J-|9C)=F@{V%9)X797xCaTsVW9=EX@eeh4e87}N+#qjj z1DTArpBFX1ssRN@*6l=0>sc8OI5 z*_}0U^DBxD`Lp+=HVeW|UccF9Sn%}vKE@r=VuSS4!>+^?DN))*6Y#N>vk;INGu{$; zC>l>poGsQ!*x3l3Yil8tdi)`m;Y&8%*esIvXxOT&?pc*yY<5_oR-t&6E<)7(JM3f zC-=fjFMday&qB*Vc3Xer2vzBIuA@uuCsdoHpP-M=Lt5Eer)i9y%CGxdiS92j?5?`8 zw9{w5YUy7}LwxtQ-EsISbZ0Lh7F|kSb4`IoSj^|6S8TRN1nwjq^vbV2m^7)I&(_4V z9YDN09s%@ux0`HYc&Hkc_<14i4QtAu@N74Nl0Y^uX>H72QejV>P>4yH#!QkPz4RzO znn9%xS6{87cA9!SlUT{8`J%3~>@Cd@@n9KO0*D<4^t9PlSK1u}6&2=hYAtpf=!5J& zly6!7Trtfp5WAq0sMl(Q!8P^2v||@gp>rE$8oAfo8NAI~Qb3vG_j<7wDn!&ZedpDL z)|yIPCrGH7l%>eYP(i%I;+vX%{jYAYnyc7*Rxfd)5qjN-@I$IB3F#J*>Kc}bo;Brj zzw14Q-JAgbz8g)g4x=ZY_&t}!_Px{QPdOS6)w!2b0At4%Mc;<`n!BPpUH4 z?v&strqkdsux$CMBH=_5)WBI4bEFEmR1FsD{fhq#{Iz0oaz_?l^K>46YHGF;3&dx% zmk%L|z@XKsluma1ppXN~UPLxw68?v->AF<~ElEJO4zT^3vpH_G4%gfrcnw(}Y?aGN z5d6_~6RkeNFLOsfr>;l8ayF4e(&%UDO~Yx{`LvGeXR9~!{*ms@fRqAWtg9AWTD`HPF+WSF8q4B|T&bS)I}zuE=}0+HZ# zseaZ8P7K)Pyd&T>g8WTo=4`DWXB98*zKATKQA{&J?xB-~1>=7otc4@u+G#QyoGX1i zu!^A(b0kg1l)zD1G?L#UV8NKIXj-{C%4|a8tR)?tfw81Bgnr&UtE9vwF*0RHm+ael z9z4hPRFbB+KWaLUnHXS$W_RNAyiaQCS2~tQoZ4}HG-$qg26eaTKEnFppCMYXZXY{NPh_t`(WHU1WF-C_x<%Kaj|W5 zcO+b>sno{GmUyp-jy;iG-b3-+{&b?Q{%{?MZ$slWHqG&9F_o_;NSoMOz5iUCVPkIv z4#6)BF>MldY5u366y_%dDBZrvBJ+h&PSp9r0SM3MQ$*s1c&2vX={kgg&=QAN*shc6 zpgQ>0eR}|;JSmQb76G#v3wZ7SwHp&9>GgJJx36iJ2R83>`@vGc>vhr@p;{wgGQ!{eVu`o zRstQ9XYK@PcH|Wgf9?T7g}tUee1iC#?JT*4Y;CLG4R@w=;PO5)o}?(aD~CLtqBdUi z4Fj#g!2Erp?p3M&d7`#8W88tibUfU0z7LL+qHf zSMn>Hmhx+)^$vVP8rQe-d4gbtp0%gVA*viLLRCqKf4|ULLt>EevJ)3L>P9J>>`CWv z#7`E6@z5AYPP;mZC&np3oeMAyGU{wZ_J8v;Z&=x?!je)2c_&8~WtLz>_!)@QgivPT zX=r9v=@>=>_!&)-`G@RzJ2_TgB3%0I=624%uQlI7F)E`bf96vj0DRQ6ya z#an)q?@xXYwuu`-;>ZyBlL~_7BN8UOk^GQPSW?woYH}T0)}35<@(a!%p5sdMvR|{p zIhN+Tx6|o~(~&4Vt!rFWB`zSP6J89VO&Er@_we0ot;1Ifh*hW*7mkI={SQ8NPSnL2 zKVyPLFTl2{wb6nNDs{G^9|kdu-91Qoobe$_<Z6H3S0JWilMsK;ALg8859@o|*Vg5D;VoA{;sQ^E zNH{HUJliY|P>i&25gj27S*ATrM1Me?z2)|PGWs=EkZjY?pNZ9f^{jvV^7&X$+x@j9 zT_K=D4%rSAjgqsMQI>s1er-i6!LKampOL+j+_xm>Ar(%8A zdPI1K)>{b1MwZ%Zg5TS>1o$|d2wohid8bFb#ICN*qjga-JTSKAAsHt*u0_e`;%yg@ z%5!}Xc(ya+qGK-;JlKum5DG zzVVinrroE?-Sy6475E_m?b2f4OpZh_s~c@C1B=Iq2`YFFN#q!W^p2Y(&-liN)(^6W zwZLT%hPsOQV<_3LpqZriVMc}u&CwtoYe&)q;4lKQ(7gqW4Ju=VlTe&;-cJTi`;Wg4 zuXw*w((6Tov=T@K$>Xp0Z!M4i@}Zb|D9+{zDIJano(s6_z_6Yk2UBu&*4MQ2qgpJ~QxSnE5b^TVz>$0>l6Uix~6oo$zp<)FM{YXVjj30n~{ z9A$iRA#w7t$w?Ham7s%A20s|R3GMb!FG)a zm`-ka)3R#0yGHC+Kf_v!1dI1EyOn=*x;b!Y@NiVnGSZM%HgvmA%r@ss-tj5qt^j#NG5 z28zEtVRj+{!cGJk-4I6T)>9Eir{8&X9FTG9L*a=_p6~Qa?DQfF@6R)A3lkIJ9GG$w zVp`hkKb^3M0)UR-aeUi!ZEQEI+C4n{psZrcLOv9>R%;5&=D04)#t2hXqp($q=^ijg zhY&4~41pfPR?JB^grTFobRy6^6keFBCRsV=K`FUXB#H%B@+FD<2ig8;#_!JNS%;|U zXowZ8A|6oj@jC#bJ6u2SZC#25FUtZbj7QSNCvlu@I0-S4IqTxRRE1HlRSGG@>fEoG#s7d_iLanVf2%KX*4?ZbaGv^==Riwy|aN-@1KYe30dc5khoS*Z>pV+&k} zn%>D<-4R>MWzNBCsoyjgzFh~5_nwB2dbs zeQkS$O$$rYStoJ#W3g1Gy}_!LvF58EMRIEE&g9k0i!_>P>Sbqu9uuN50ZBk}&>;qA zlKooFF9(xlVls?(dz!V%waAjl@;vXl@Wn0Q#QBPBN2e#kEzR^qg*gF=OE?cI~LYBal}oy zy{;>v6Fi73c!1e)eO$}Po03(_Z7*IANzU2$yHbMhYL@daCEu6bNEJkH=qg*_>B9V% zEzi;y@cZIv#IvS)-jZZd-jKc3@+jYzvV@s#J8ZVCy|Ar6aJ(=ByI#jGD_kD^<#&~a z^6Jjr%xHnW;flh$t^{fOpMoSAYSBPjus?FadsXTR;A-FePiifNfh4^Nqv7<6pF0!5 za+49=;yn=(EK7H*K%DpDE8UdFTx*fRu_{E$4*ZKMOE@Wxd6FvU2&_|1YJz_=Jqke% zE2(4l!HpwdWa%y_RLbs77CP;dhNJd@5Ud!SYpQqk6m@TMdH_~;Z$SNoh9EH0z^XaT z4Nstnj}nrM%VZF5+BE!*2_sXGW5RK&rD9DKE>6C*ErN7`9I?bV8~)=oc3ZNH-5Q7JRaE6+48Geu9@GW1x;=DO$+0?#(tY0wAv0*&C))5as)a-s{Ha z2LSqN0bIe<+cbBmrj!A;Vfy`sY~F|yX~Ns|ew}7!E)(N$1&Q@G z{7cH}ED>WOGSj^Q=aqBHEO_l>ZvY7~l|+5UX)Pr-V@3ZJPXrqr_3`5OW;}+UJsFPj z7ngI{Wg^)U1M|u}#GNlH)UWGK**>9 zZk6!1=SHmbDC}G=yA&tWZUNfN+MZ`3HrT=d1<^D|JrNo1%rip99g>5#j~Ae zg&!isRkQQ)#Ve@tbJ3f}_fb55@wR*fFM2ePXMfm}S2aRF+Vbp7_-ufc3B;lUnrT55 z^$_aB`?&MHk;bjYp02rj9T%|mplL6zg|C0%Rz!8GhH9r6O3m?)eV>!_eLgb!8bQl4 z0s2$62CUpBK1S18iw>nc$H{!hm)6l|)VWXw+kcZ)ej(2*-1tQMR_*BdG&nn}&!O6)MF; zRvem7xDMt&pe7yiV->nZdwdcf-v-Kq2+5%@smZe)`DmK? ztQtc|N=HSPA1Sd->^u(1*d)mTRSGGiYN#%>=Un*QDr}^|uMaLJJ8pmA4_Z(L`@T1W za}UPxPx@w+n4QNwE)6imaKtYRIz={s@r>w)LpkRz!cT?;-U{^R7oJ%%Sa!cJV>j+N zhdvNgb`)vw1_&QgMV4jbbkdl&aw<-NC|vOZ0)~FY%OZyTfX;y@tDFmeh7`=8Yih~- zK$)=R;HC~>)527mUl~0Zp>^xPI&efOAbIAr^)`r1 zIP{M!!kD5|qP708Y>@bqUXkopbES_Fu3MXjw-cX0#Q#_ixuZLxfO>og<~hK!q_=NL z3-t#F;@i3$E+~e$wghXL2kIx$a6~~MXliGP9>?$rei!D6l^7lXmAa&wDm#xcBD6Po z(gfIXWAK zglA8Ki(p4m5?8L4Q{U?HZg`D?#1Qv$kGbfRET-Zs!nl=~pNlFKHD+W|fU45*WHget zeHkQoB_Q)I%E^g3j16y_UyA&lkRJ$%PKMvgca4c_sy*iydPQuprPLYR2XzdN7ryk? z6~O8MVI1*Bg~J=1pD2!jqRsXgD#CWp?e$f2D+^ekU77zafRSeor2pCsTcjKB)9^#i z*E_lXEk>h^c1FYlPy^6LNW>as)?JR9?R=%HH#7L$?Y z`9&srXYT6&n(+x?0xONGTG)*@uXWB(_i=GF2EEfm_>*vcMKihBde6DwhMfw8E2q{J z%(@gQ&d!tfe$HDgeLz801E3cK+%epE0t{E4w~HiU(?0)3dq z`wZWlVnXd+qR5cre#Rw!ox-0?&7Try{Z?ClpuZ0?a<@qZ#q6}IRn6daSTi0h9N0xk z${==le>PshH7YdQh_$vC38!`=(}$g(3B0CKm;D*o7DnYE!0)^@D3=_8{<^34XB4eA z(Yl}7i?YYOvm=a>zAm-)isCu;Ge>q)=(yf2@ve?d2nWW{jeYv*{j0-vcf+gm%<{L# zYtT@O_*ni(cjg`Zg#xN$t?O=CTI)dD;=Cj$F%#{ElSyV>0cBwd2wtc;+0( zpWXwNc1Sti-QU7hV9|>>w_r6@p{pUVw0oR}B-6LCk|98CJXp>ATkQ*FSflnnFOh#Q zZv?x0B~=AyG%DtwA#hA&+C<~`f(jdr#)FDi&f3)#iBXA=2}&E|LS|(Jr;Gz!yrm;d z>FYSz?70pSAF6#=vpCJQR&aL+E;DwGwgRk^t_}xy$;D^5D5H%4$23xFoN-Ab(>E1) zf?j*IRsxL)OwAVinro((bLGp{3wDFX=xIA?zq(RH)PSNf@LR0viMbval*LCdwN?8e z^i)(B(UBV9z;sv}VHgxLu~;Shm=guIh=RpT17D&*KkSAnHtCl@pleFXVgxi!d;tdt z$RlCWD9ek>t8*`)$UrzXyrs$ zlTjUUvvkSYW;wbRvp+_!50dCn;HZJNhDYmI*O3P6SFX5Mjduj|TZ(lN9>M0Qg3dab zof;~Z`E%!)+7T|@fFY?}_lU(WTh?J0TMK#;dIH{T=*5FoKm2L3M|edw+KLvDu^j;v zB&qfS3Bd_xP#RZ&2X)05*R~TGh-y@0396A;*V}+c+KCb-znx8_lQ&(8k!ahJ;rL%+ z(P+g4S;WzI%v|_huM=u|I+45kG$*_b_^rOky2Pk-EZ8(=nhUct8YbO?Fr+_h)VPrv z7|gc38v5|tOO78VB+#B~Enk=!b&dDO10MK~1_5Mh9RBLcGddRBAB1)iDeE8oe8%9D zu6w?!9H>0*bKMFM>%h~j4`m_BAqc=y-A&9eqt>cPWO#AEq7bRr1V!zdQK}CXOqo!) zI0XZqzI#-F#r=ZThJe80Gz>^rlLNWYOB$ri zAzYdy^$m{2Fx8|k(zFvPUlES;yjU(4)jTI6 zwwh9tLm_i=agStMWncW!qKIQY!5OXg=Y;oNWK6L#3ZE1T_NPg~)j04*g)v`p5E{8` z9fwH!bdW!9r`=Hk94VJNF~eWH&~d3lBYI_A2_#ZJknkdm7u%Q==`**gNYjBFyvZLR zz9@;E%vjYwfZ7$~(8Bq$ib-1 zf?NvtrX&oxSss_Tj`Z(k;)cqUzud0?dm-izh|c%&6(9Px1U5xvCG ziTho!KYsDCafZ(FE*brI@KPAyH1Xc2gWE*0vkb~GrGR`sUTS4Im;v7d80&ccB6OI- zz&wd;{`;HrKKg00&z4oUd0rnj0P%)VHo12~m!Wr)@gbJC;Yp_5EZO|3e3uZu(2tKT zF?TuAr{ zXO;sV`mSBmKF3!B_KcArN;NrInePJvk&$kH#6p9#vt)VD9nrN{Xb~*S+B{%6rwEL{m+B_}oZY{5QdC%Tw|DMVbQPjjy+Cko(B^!O$@vO;Dzaxx!4YL8ifFOw z#A^*>ig7IIG-_TTktUXlH4dK&&(72WC*%G}hl1mpWdsuE&-M``%b@ZI@;n;_LRVWX zEam%f5)}N}RoEOP!#$JxDoS>2u0ow&b87O~NA-H`_-O}UQz9Bl$y!1i?XC45>bsd* zl+`s-f|n*_ex<{H=6AQPQZ4zC3-+d*S6P-A!W1XE@~WtziAl;#LmY{nYkPI1@%G*cP3^2(L8p-vE4h}T+ zjwb<|v&Vb!EilQcbVn(A8k!bDHCN-~rb! z3Rg&HeLEb}LZCmN>0Zw*|p9vK}0saeHEHA+> z05Fu|MinVLfrMN{HaTX7L8;rtROnD%hGQ1p>gydQ!H*3~566Y`vj$DiZxKn9+A6>a z+|*z>Hr}sPmHZ9)=_uQ zh|Kqw$MyyE$D9TI0aO=Q48SOFK)u{xBD5KQVEt#Fr8t(8oIFn;*ul^o#`j?!SFI zd7m7v>m}qpw2R^}hnnoa(c&PHZEL@9k@clnO9%CPV*X%XM;zYOOUh}4asv&nrw1g+ zpiec&aE9@m4Y_a1sHXnajUHMlG|vqSF?G7F(u+1dlkNV z59zB>$3psAY)M`eiLL{OipOS0ZiEi!qb%9G(c<&;egYxAhOiZrd;DyCRVLUy=-7O~ zw~Vl9E8Fu_8Mvvlg(#TkThuS{xAoXs_hhvFyVqCU)y=g7g*5R#V1q1HXUdF91$)Zp zy~BQaIq{O`k_O5GytXK7R0Q(q8(-7TlZ5Hq3(h^!DxujBCwfMguAg6jWpq6t2}l zfP+cp%-QK`b8KntI$w`O<~h5#<{xAmn5BXCdx^baE_(Fesq09*fr^bW1?c#1n1!}O zL@D3g^e+C+PP5!n7F4vZ!!&2W)=V#%*AO9U~|w+ zq@%K>Th_l!hAZ+Ym;LQ)lJ4m%!C{58FQ+v=y**CeS}6!V3#rpUXPEAW1^q>9^`k!2 z)Z&U}GD2jwRr7O)ypC`*-y`JD?$p;#YZQ3(n-nNF1TeZ0x!;Y|V&aY@6RvE;@A_V; z@Fexrni@YPO9Qb*(#K`%(pCjsu3AS)%`kZx0kHg+3Rv|94v@RVN!&1k;s;h`I~>XRxgSoBeefUS<+FAxiu3 zpxTYiS?rZsS)2FDQ-EfNsE=LCxeM11z)y@x6B*G@*~~vMpYbC8_PxBn#YNlfBJxM@ zI)x)qjGKvoUACLM2#fJR7qFX)quZUpHtbwX)|MTlmG0;(e6Jro*;j0}b>7;S$TE<$~>stA#ju*pAf zSGgFH2hVn23iHXIyyCHo_3^V$!K+HmpcWp>R>LE7X_9x7CgtWP?n^d7aze+o20a#@ z+`{Ib1btnwClEBN{+1)XBRuss9jIqg+q41lop%YY178a3pEm1@OoIt|ss5A|-r*Je ztpXB83p5oFlG}n6>%;_$9NSkI5EB4Tp2!OChpuOMOkEnGDAU zTqwr_=2GY0d!|B^b>u4nd}1v^dYFOxOnGASCAMe>6g5e=j`L6Q#jnrCo%;nw?O)hH ztDgjB<>X|T8?&hdO6L)Y9|lhiA?zKY_uiCmsI=l?11BXB9cPb~AI2{s11817lh|?H zkB~9Wi%9x%vOW6zhV8`Y$0{Z|O=N|K{h8IteES6c1yPsI*jTlow8RZ&6c=rtP$J1y{ zA>Wg(%)>wD0H;%x9gP6SM3&#gMyTyu{p=x(LYL<72}-LNu4!6VGQp1VsrQS(qyEa2 zh*3J$dhW6_t)zUNAv0=Q7x4(n6TC6oS`~Q^B^fCUg?{rL)-l=0b^zIk`#2<6oex{W z7B86nRAm5;C`V2V@jZurhR~xxX;2rCWzx&@Sbf@tV2}7;WW$|jTJaIk&p$pzv~2@j zgdgTT24bqglww<8?_v>dhp}~42kx*8e}8s`yoVH`=?zlx29iHIk_#KD8nuuVM1D2ua;f5M~? zRKw!F8>6<`_3yM+CtB^O4am;?T{|eoW-pL=v3`24^E$Rh8JD(=k$mrl9XI)i4lTuz zr;a}!+TXN|9cOnzv-SE7w=()!ViZ z-aC~l;#!cYA{;Lq&ZbaA+566e3G+E5rK>FSXIKSioKC_X;iK zPAJ$v5Ps0olV^{2>$P#K@8v;N$!`q-A|%dd@x&;|=N8?%y+KA)=>`|(*dre;VoS*WW{bkXoItB7q`zbksF zdc;oy(B8M!8SlNoco9Lh6iW!Dl|NMEAewPwskW5x#K)aBtu(mIZ>tExi02W19<)ve z;>V+c!B%}Qf8!oAFV0)6F7DQz>P3b5D&J@0m4=MYSFIX)am_5{`k| zRESm5N#>)P`z>pt%O%)A+z*){8*@;jy7r_pQ+hQ9t3InCKaCGX{bs-nXCX8uY>Mh- zIWDwdJY?~?06*u-(u3}0Z4{YEv@;cYhf@{l>^zu?QJD-C^|49BO~}uLiX(z3#sC|# zr}xI!;5I1sSq_32c+z&6Kq%co&Mg!UX@Mlef)L6C{spQPD;39LBxiHJ89K6&GHAvb zKr*+2hk@Jsw7;fDWW6}05M!7NkhUXO?b+=QNdk0^9Sz;PC8UNoA(~Mdr$t7a+j0Q~ zCxs+$IJ1H}bOi2%^EnQb0MfW1zAtEwQc0$#d=hXJv@u6ia-?Yi7NSHrl7c-WsM+zM zsd)r_N^+D9+FKq<%GVaaPX;X(yo?0siB1uZav%$EAhu4iB1lgSkVb`=SH`$)>unj2 zbtEM^mkub3(s>bVF02=na$0zo7D_x!1XN4}w3JjgqNycZS_xHX(R9(tJtb(?pdHwX zU$2%Pjk<@**iS{e8Jw7y8SBn6s)`a+{)dG(RM_O{uHWyfa(-XAUb4_j@baNxiVcbhbayvSN4I z_d#$*^mz4jDe2p&f5dE{0YpSdQllz9wx$OICPh=+FumjXw4L-rapt!t0btH^DZBc@ z7qJP{&{o9JeWUi=_v+w+U7etQA$EoYMftoItBh`H&nRHB!3ZRaM**X^dZ!EfVkf>X z6EvS~KFCy>cVSP)Rd`))U`J}@qY$x;BZDOM79RvpT`jb>JjddYLR?`1)_6lmZD`G% zdb3sRS=~#Z_h@gQ3TLLRCz!l{xy#yHIum%+=iED+1l%OcoVZzE`<U5f2Qq^93pkKoALBS`eeTy4^%Iu0dEF-mkV@^>aLQ@PxY_B4 zpw2@RK+lHO8t;(ZLt}LiiFE;v0xK#)8!hl?YBA^u`(6K;Zz*NyVmq;$+oF9X#dY_{sxI`Aa5Le%!OaFrQ1%26~iP1LoPIOFs% zKgaE9eHHMsCjzHT7J@rkW2r#D!LF`Xm+pJ|HyMNqs%i>>R^J2=vSVT4b()Dokj>_m znm$&3lg{y5DPu$a03b`Anu@Ee9d zhckT2kC4Vfg^$V&R{nq?xvdqlot<;L z=r$LgAxqUNZ;DwsIjeiW4|f?j?C;`zEIHQ8$Rh9D%_G-GIYr{er?lzju&pwR_pT#k z8eBfvLiwxslD1^J1)cw-{^o0(hjzsm2sa-)Q4~~k8 z%>tf^7dxZMEJ2_v<#IuDBBk}uiG($bLIpIg9*EWyOmt&FM3TDs-%S_5T=_}%23DA$f50} zNa-+`zYo*&Sdc2I&dA$LZ0-4!?`Jvz;EnJIr(atzF==yqUfYhB7OUX%lPt1K7cjHV zDUQRAG516}Oux&&yI9XZG$;)NWk;*9{1|j6cT?LtM?mh2n>>BK^zsra7A=`?P_;gPLA^qvDaEjahvb(gzHM5%Xca zw1SSH&{LlZZy3d@1cVZe^hWYtS>FVtIbUz=_y&UzF75D*F=NrZZ>fI?cb`Woe6Rex@~U>vM;usp4oT?Ea1t2CFww)~|Mzdn zT2UDXo7^qq+HF)uAT-^iBHYCK>`x96DXzKDt<}TJR9k9^ZdhsdScKupo$uDL?Ec7G z@GLy1^Y^E8A&!H$)WZUb2=9e>9hh30M}Q6Rbp3roJ4W{>(J$ox)?48O{^C}R;DuF5wjB+#5E z>FV%YXNg5FMYTKJiumw2RIbMbe34y^je_^U+7>JcOL%5x4$A9GyZ!ms8LzV6wec|i z41!-=Ge|R5H;D>=(hy*xxty2X=;oC&sMwYQUIY*3Y)?!qRzV}7$dKLGGcKJ_bNEFB z({8TGunJu#e*3yF)s3^#-hpt5&Ah}_zqD8<(Az48900LnwyUhk&LPllM!Q>fq;dL7 zX{HRh8hx=pum*y8LbtniEcIMORscMPp1O16^+7-P6&o^!DVtNnA=A()1U7!@Vy_nA zD&p?@HP~fQ5rizhZ6q;|8XF?*F~ee*fubSa;a-vy#t=z3vM~)qXW(=L5nuGe;2{*> z;>De)<=7Fu#v*JlMcmU$DI=O$_^s{7Q@y`ra_wjuLvNvHnofmLRUpYdssBiy=iVNg z+c9-*#q3iw)V1Od9u`PPJc!c~wbiRVV1XI(T;}F)wb6_CQ$(t5CL|qA^~1%vGU6Ut zEA%Cr_-gbLYQL4#V^cahZGoY$a{EY>Lz)eG&~H(T`G1Eb$>F_cw92l zrxh7Rd>=(6WRt*S{V%76x@?%}=O?fg{~9mbmEifxqB{$+y!?bWgktzTWrCvA0;a#4 zKTnmr&=3cyqDfT1urBn|0k){P9JB-*4uh4RKa|*`ueizGra61^9N#@P(mW`e-4H|T zrmy>AXKPY6b|AfiBz`SToU~@HH%2y9K~DQ}kTRd1C15-|j<{DpN$u_}^tENHVlfL4 zBOgnHs7+UnsTRQ**Phc$U%_!;+;fVR&*dH~e6F+#D6@&>Gz^3z-@`l%P=^hi5p`vA z*|H3xS1WT|IY-vhu99K8AaM-gR~pV3vckDZPO9|6a}iUVO%I6GR5Amf1cvv!!iXcb zUc@bPYNvR&;hE7l`_k9B@v&(ekrJzSrLE{Fp>S*%dRk?O}N|kR+!>r4ct8i zT5ggr(>}mliSimn=JMm~(IH|U4N-wVQQ0HuOF0L#heR!Q@&wj2sz^KDeNunjhy;L& z;S_cj0@SwX@pfA4k$oW4`V2uVa+XqRKLOPi<|m%(t=lKeuxny@*JUAZyiM=?cbarCL1`3du$EK1#1-;727=ltbc}ZYAHC)e@|I-bgWP8 z%0H89vl(Ny`kfhYccwTp_^2O!jNdD|Y8E(f2`nmTb+)kdXJaLo?F-xhr3nv$&(ckm z{ltTn8ti6SJDJ5F*#5`9vBiD1K;WF%$GJ$Y+pMs?k{kHXax&jx!$~S zW33c=Rc?Lvy>_flsVf*J9&jZ6$1!b9MyG)$E4+KSTQgk_D*NIbmbW%uCaP3k#~(Gx zh)2DuePYHmOcHcYmc=U(7>HhuB&&HmuH}5cc|%|0oQ6gkFCHg><04>N+M04-lop-H ztV3f?v!(_%ntL&DT@I#ehhg>S%e(`pTwnpXQSMqh4nQ36SCRhV11&_{ey$55d**J@ z4<+^HL#P@17I$2?6iksf$WR%3w zM1Ms`J+UC;hMWxV^TQk!d&WZTZdkxMHQ2;~%i&qhj76x;pqa=B)SQDcdgBMq&<>^?YGP`p*kF?6 zpJ|gQi9v3HQer;&7s!TDd<=&ZS-SG>{WPLEbMWGWp33kOP9!39z&b7-w}}1A%*5`b zLHN)|%6^9WLZB@z&(U}aLf}?Ja?2Q34}3c8rvYV;A4w9vZ0N@5k!#nXKT1pws!WtC z2kzYsNfut9On}nFH!bKpHuPu@0R%4>LK6#zmF~qp#pAV3*>JzmFg!6Ru684Cu>VdJ zO*l+4MBL=_^spw~MK*6d`OIzh_Q2wft|c=3_r!xW?xx3vgCoO6aOf`Y_V)YV^vroA zM0iN-qbgRnBTvtiC}_yD0QWI@#(~A4DKzflIyYdA7iji^fnlVI!s%k2jRv8u%u!Dm zt+jKfN^hl$^r)ElJAka@sn$+dF&cCJg@p58dT$D-_T$_&15d?z$l3G?_uRRIF`-Ab zEs(mYXKAi*muu8r$#6ELTyc;3(fj*asb#6uQor+V$R~zr{SqDR~PGlBZbB(W)FIrk| zAX~P2#hP_F=LvkgV?TTfQtRpEhKd$9PGn*oiw|esyoq2>)a#@^RWf66Jc(NlIf~_f zF%Gmk3U>0+-C6LwnYiM}LZP?$zgK|l5%HRdXj#&(21gk%(VXe3+^O+5rskyr#4}we z{1S>T%!KiP!_!?{PWjr1m6V-ZCNI+_#LvEPImxf9nC^++e4M{47pXXiqwy86dQ-q* zKac$w`8?jYK34qgGk_YXPWF6icOTHD*)L%Z}A#HP;ws5CNg z_|M(HkjA#gW+nsx8z%=7JAg5G8IXD|x5?kBa{$sigz}cGE=-U?uTPqVM0!L>Cn!t|j10skMz;Ti($U~M zs5S&H&fgKRbv1Etw6g*@{WrS_2P-A9v#Ytw_mZu(iJgI&3Cxdh5JCq7qyId9GY11> z6XJj7Mz+oljwZy$07oYS8>4S^4uJ2y;pF~JX!8Ad{u#fwin)^`fs-x4x95iLFpU4u zJ33ne2pr7^qKVA_#5M+&2JQyd2E^Z1nf~K21A#TncUrlvp}~L20EnGzE!}PZBf;`7 z3Fd#;Y>WVQ-}~^J-qOU8*w)U(=KqrXw=NdqZ|t`Lj^+SsLuVTTa|6IPFW}#+|IztP z`_0NqY-4UoU=8@*=tj&Q1W{_D z2`@O|tkEEKtZCh5-v(+x`F{XKK)S!g5FsJ)eQQTVMn2B@AGa)8 z2>aH5&dJ<+?X}n5d+oK>UXSm5^2sNE!~E7i{njU+l$mPHsxPg*YTGQej#+CS>Mm=o zsvds%)WnBYQdezfsxq~@<36*}tWBDH-{o~>*l26np&z@BUVK3*IJu4~!8yTp(19N5@8uQsLz ztdb<#cdAM-9Rv zC#~UWw0z%-e9Mj;&M~wXZhV6BWv_}H%@t|Vn(MkTle(|EBYre>l{KcSQnT%wLw3Y> zUl=~g<~qyJvn?R!20o~_2!h*)X@u};-WIB>fm6W#PPANNMxN~jwrhFIg=>Gx&zo#* zCHY1*S*Iy){2N&9W2PEw-_(1|^2kpyP+lFfwkxx$Gx2Q&spx^EJ+ z(+GTKuCp|2RAF^>hi{wgkX3zVI6%X4JU8;6x;ZW z%{|MpmvQXa9tdjNOBc-@&vtDzkK@=5V#^J&Y=IrJId(&6v-#5Um)IVT<+#gu8HJYZ zgs~Sp4ruASu^&2Y?pU_x`Z0P~Q5d^1*4_@HWgK8r*{*}n&YELT8+*fX01m(+u5uiO zo{RQQ?8IIagVgw9>4wI?0!p?xH+6+mp^`0#jU`S^oTPoBjyOds>98A2mEQMlm!+m| zfOeZ6D{AV_=0RbzV9#?}ATKCsuJaa@2mQ=1OpNH^M`Zo=zi#8F&33Lev~c;6Z!PgJ z2pQnVlHUj8_l|VIwD<$(aXGdKrxu=WvD820PiYZZt0q^KnH5FWtg;cArQmXE7F%Nj z+aUrSUURXe(={K_lDKbkvsH6U7`fd0|_LG$~^+RfVq#xUfC;30_%S z^+1*c3?2QUhY!nSgY!(TGwp~L+r^j~Ap#6(jYT5aXB`mKwTI4k511K(R0{^nFQKG-OYU+B| zT78xCXb4*YMYwluFSdTk^o>*<@)qm|2O`h&>z3ivQlFZv*a2a#ufll)bIKK);S7UK z|B@LPd)4DK^2Pv)SKxTjcxY!YjdrX0$}F+SSe1*GnhA|9@9S-4rm8qz!?Ue0l3}}V zfAUGTuam8L*LMl_R@UTgR%BIX-tEd)mfF|zKQmloAYPv2-4Sd#!79jQV&0|M=9PH| zB4S~2Fmcu32GH>8)V$li!h#;Mas{T1J@ncnd&LhseB*_0xUnp9;zj6ydAg46W2fQZ zFTyZz9WY3Hu_VKD;)Uad_&+1f5)I88f!WJ9E}<=4%lCY55j$Y_%Mklx2|6zqe&iBH zguh)MjCE?1!B0I01Y;mUH12>Y&5WoGI9V}bi+*!Y`T6)iU19%qxn zQY!~7HP;1x^tj<6_;hB`C;IrrVB^3fu>61`kI`*&wZRrtO_zg*tr{FC;kAx#=vwX) zf{d{T4>orYC9Y4#0FrmN75fIynaXf7_xmDyzV&HC3p!wnabN&h+_*(<-Q#9el_f2t zJ&!%Q8yoJHG~279RL=tUq_OAYJhx9jgouV4x+V*(%T-QR3%2+L+c=)V%N#5u2j9uKp3}!EiTXyrn%&eARcjLaidlSsRJ2p|B-37jMKP_-I|M>tc6{AyKHs zIyOyKK{~H%YqM3AAdY3hw{B!~S#^9+<_cnI)?57sa_D@42aIDYv;yDwU%x#GHyduD zL3FA2d&sa=XX#72$=bf?AO_&fuag!WGkt&*2|;JW4QEsA5HSGPTitAOMKO{>Wd#`! zpF^rI>b50-@FoChBmi(_fZmX;WY$m(2s+|*ZwRktZvlQ|aO_oZbVvlA$U)PfU@Yu* zHlheIx>r(VS(^<5Ivg+@$Mdhpxc#8)O{IH zB-5AaTjJ1WIHD)2$hNo|??livgAxXgfc+&i6C~x_ywIu29?Y#O_w6=EPmuy~4u|1x zFX3s1rx9iGPD4h|c64rx>T;5fjnFVZrw4Ei5ac2BlAP!`o2VUMN4 zrpC^O0&3;kRw*+npbcwT=7=jS0RUXh_!l#=>UIOs2!{p&XU+jKwJCTUp;IW_WG3|D zB0J)c7vM|!U){8&0%WOqBM1bd$M%&q`xWzr!q`%w0!TkH>up}+rb%<^4cKE3nKk@n zQR3}zJlWocV5UgrdurAVzBY!fDx*QRZooGSV%va!vWpw~=NL%`k`#v(#HV1xR}@{jLca}0(`r~;M8yN@n+TFV@!kl z156vMXFg)kj9pq~z9Q_vYIk*ZNVDhq@3Y-bnN6MT_X?sKq%mk|6~4ftSAf~CAgi7L z#@u+=PY<9OBvCT!tU4&QK^sWj=!bv7?mK(|(ff#x+djv~&>*l8p_KFA89Wcdb5UlG zkF|wvAa2uV$xb7fX#~5*-1T6S_$YbI@KICqE8H<{t2!dw48S7m5m;^NM+IOInQ4>2 z;&4|1j|cYc)IP7xRvoMCkT;!ralUey7i!z(@0iwo28ATsO&E?hAk^Xc=!V?zk7|RB zW)=OaZcQvkF`F7@i>bAFn&YEwPsAE^Pn8VIyMi{55LQtG)@R@SfDf&fBNo-a)g;s%P7~{=#=-%Qu=H>)Dzs2m(}I3J5VX+|e*t_?~BZ2KMB7KEs<> zQ>%uGXWRoO76)Pql`D*p@fS1&E>NjD-CWD4*a#H&o2oWJ>0*-1(0W@_;(#QMwpj7K z6&Y2Y?96SJr|XO-UiH*AzA(9$>k0>b)|kqcO1|uAnI!M3vi^`+nCUIZwg*k2sj#hU zNQYSU8e6Rb$#b;MdYZn#j^`aB187u_1f~z{8j}Nms%R(! zdutwRnhV**8RI{qzTF{=ew5iEF3-ZBMS@&ww z%aoJ4eV`=)YKc`t>Mt_2vur57b@}wwPrfq2VzP5GdJYwborugvmZmvW{N_Lr<{Bsj zsCAF?*yJ0_c8y(L=4SKs+xc$y^oKkYH+GFSUbI?_!1l%V1AW@-y*O`Z8-E*80nOTC zXw85Rt|F~#P`D961*`#+F_&U$3#UIRLMG@F@1-|8nu^m9C zw4i}PL31HyFYHgDtvR0>T53^+?ql9Tcr=Mf`^s{n2dxXFQI6&9-O|Lpd-?(B?m)qf zsBt*1>)P^*A1s%mgDg2vd>Y8?YB0@pQw|n-90+*Zi}s$A~i1K7SiC*-HW|Qx(DaoAu`X#(!@IhIP`}O7;Cxv z5`fH=?-e3s2nhE!2<%?1)Leq_=j8I92jGYH34lEV5YA^TTGDL*finOI&jC0Wn@DsJ z%A+;Sb7S|w1y>fu<+8gw-!m^vAmr1-2*8;E@Xp(75Ovo1mr_AtEu)oU(>Hu_c% zsM~qtNK;#N0^-cR{L;pl6fbCG&<|ny>CN(m>$>u<*e2uzd%|$NfhWu3+;FlT`9$|} zX8+n3zdOdi`mOPHlozwPVGhzw385&L=Xup{uny*6io^w|us#ZZt<;vcx}}X*e5_eF zIquTpXw=Y@NLGJxRZ(fTxY(t?{ehnbbphhqlL zn!N1*7Nk^W39(J_YA&@@u2g$Ai0v%gVU*J|L6y>-;d&6;9fAU%ey^yfy@1+8E+{4Ud08IK1D$7Xj1o+1Ya0{-?sM!u zEQBcM)zeoMx6v8waKtM#R!t9D-S-vr$GlO`uQXqNbtlK5C9^Zr{4Jk-ZgjxjEHf%E zc>*j0qsICbTIYHCudH#;4vnF6%o@jr!f^r8<_Y;5^H|c@(y64Q;tru*VLR>ACWjnU z&}??z7^a(n*g6!+GBKt0GTC z!E5&IP7UmNt)QA0xWCfOh@XMAfqr~Y7KtR@H0wlowN22`4bX;dcU#bO-+{BqlO@5~ zVx+!oYw`hqMYS(gz*<%J$}D=IcdKdM00wkyFrh)0=pmo}MPbnMS@Q1s*MK+oh%*kjt7$hixli(+<1F15XSu@RNz79Z!*9~7K~FpW z46^gwbR0rH)c1!v#py7x#KXHYV7Z*ZNr0p2nr3s_&%qUF;yvVMt5U1lnRSa3wv&S( zn<2ir8T^ld4g?b%wMvDr>|NQyeWP9VVNr)Yv;v*=98Jo z{+N}0MU?k^7k|VJD_ZDtd-#2UXm6`$_NC#t=HS6_24>GYK>BR^iqGF7q`A+6u}43F zRiA^cKG5l<)i$^9Q4FcH*I(btgLvN<9Ymrc=hF~K{Y7%1p8ZQcIPaLwj1kt4u@(zCY?0c>08m&mcH4 zkF;86W}BCL?t=4?ax9uM+x^q;Hn=#&&PUf8F$C$C`Fuo9-iwO^J=M_JZ2PCL8b~;l zh`}9FE=UhSgnw&f*L|yUF{*?ENO$<@X-~^*&|AI-WSxQ-xH;B`r?2QU@btAZwfo6N zzj1DI92;FbC;H&LX3+9>P8*6e#;&39hn0B~u_c+NJ zgla4gAH-yN%9;;VJ(Mqw-{e2}V{E~l>XcqQaFDvI@|`x{%|Y6FFK80dF$o$PBvDKg zLY+x3a|nPH?rfzG>H)$iLGJUG@aCv``Yn_2!1A_y*yr}64<)USg}mZC*9T(9W}*A*5tgYOD_qC#}5v=`!v%bzkIfIoEDt(BGduBUe`FrX&JHyt$Vj(oVQ zj$nLeTf#B^Z!q$P@A=f7`!(HhMWa~XP2=tNiKi(}ndX-{EYfA241x{NK2M73alG(7^Dd5d7Nq`_A^ zQEuz~j*l2^|Jd(_2GGwO+%GXz*BqSd=?DMhYt_z?u;Yc})78r;u!&lz+522iWo1d*75kRR%U&{x1-r$jfraeU9z53SY?8dj@D`kSu*aO*wTAYTY~|u#~sy<;6_O9S*zHfWsz=t z=Dx3R%1)@+mP!)rc{B@+|NJ|X*Bb6h+;>_R7vTm%H2!|z7Tec!ec40w?Mwd5X}nzL ze1N0>32xEBovCh0eKw1dfg3#^Zt;%^e%$6{Sd75f*G*^9(Nz9Fq+z?;J_~?RE`3=+ zuB!Lj<8$DG0UBTK91Sh{D0FOWS86HGLij*@u&T>TXv1r<+3&y^EAh+F#9z~uraHrG zL<{H4sZv8scB=-OJ|vrP98gCY2$^R2N@eawS?+YDu39CrGt zy1K884XaLrKGfzUe{J*q4IuWoh7xHr0=bPn<;i3_+GygTqhmRm&~z{B!AmxK^Pz6& z+@#k#0Rr`8CBrxasRyk8>bIb0^tAF?aw2K!X(?ms_^L5zfC4#qIb?0{06s3ahHa7O zWb|O`(U!pDNGvyT78HeR=$O;Fg9|ntYK_}SsnLEKV9lp z5#5&{k54T*VZpFl#!_ohW|}dL)wPM zArWxaLnb=Q-EQ*=BuRFl1`a3no9~&j^#OC~V8>CHf&A+pA(ke4(FGugP+`D5nn@rH zq$k^7F3r-yReNtv{;js0#&&;%qORzSW{_F&{S+dmDYEaoz`DMGwF$Ova5)b^_dSiV zf~6C@3=Y(Jz;!I(B8{cDAf5>=p6PK!GjE9bF3$|U2P|WAovlt#KZCAv2|7{aX4p$d z0Ui$|I0Ft0siz(3_yN*40^ANh7Pxl>y2{JPdT=t;t7dZ^8u$r_T>rTGPUPL#6FvMJ z^bk(HQIDAsa?Sh`&=JB-km4!+3`k7Bg7^ikt;!6Kt~>Dw>g*K|66)%BS~x=WPEc3o zv2Jz)NXYz}R4}LAeAPRziKg%2H}bk5r&29hdpNf;zQ>ewd4P z1!4C-Pg;@B?Lh$`CkoDnwz-lt;6YTt5RXrPAo};7k6q#)m^VkNLRelp-sV&aKty_L zf%2>DQPEF|ZWV>-Jyd_P63hn(K>lp1d@z5AEy~d6pMiYi3!NUAZmJkpUw3+f)I2#u zD!5%v&Ag(Hv%+6sL_2CwE#!rqp{VPp-#Ikdpp|Le^lXw#^W;Gw140Db@mUX8V@y5M z40>KBdLC3-v{z8L3r;=7+z(v~6sXVPgz-w=t3z?@wd3zWo1z2p6`v-FQAg7l9|dm_ z_n1>ItuPQJPfiYdv&%`y4fZKM!Hv4xV$kgYG#yB(mAH#llo&V}i7Qh#{nPKM^TBpt z=9DG!B0E5rKdMn(&2iJ!$E-5fP++nu5rLzi-*-KXcw^sqXC#fEA?aa*F^_cC69pI) zOUomP%BQia-kDU1kEg#acbZ{n-i5EukBL9pob|)V(rO_pJhZ}lUh^4FbtGXoO&J>r zmlqgePdCO4A0O~7Hz%XM2e0j%lA5e1_qUjMZ_(HpNeq!C>8q@!-@O3S`<2^cl{ciC zwx&>909E9uVDL3gX=Wat{tzmBHq6txqN{N2A-s%2PMN3T$Nrjb&N3B^#)deVRZo3 z7l7KQ^yYo7Usf|cRc*@JZJSzLcX>2bUFM9ZRG2gkE6UsyeY@S&vqQNw{vDcmYio$m z+=_evcGv1>Hi^_+F?u!W8Aa4V?(SC*fM}A-%^!b1TQO+avKO&u(M2=0#Aw-9e8L4H zDI}kJsHx!on0fx=@1rTcADf1erQXuIPE$d`SXTwv2V82$0WkKDe-)~Gb>1m*tcPvh z6#Kd^%!8sxWP}#@GcS=wZODJoA(|u9sh;8cPhXW_;zopPrrp+J`RC>!UX0GQ7-LDg z$052fG9U76qxKR~j{~K;d-an)HroC(O%{vVohQ6tP@)aMX zcAybj$EN`z*TS9Om;0@WBPd$#(ZD_yV(p50)&KbWSA?bGZM~;`05HK3Az2OczE_(% zrP&IjICGpltZ7-VRZ|+aYo)j(E3=?C{*JI`MD?w*>`V}(r%VAE+yFf`>L*_@-r+<(nVZJ+*rWQz68= z@gj(=T~C<+tG-b?P)k{Knsc2UgraS2bDOEDSH;UWU9R9iV97jxYOG zo)6CccwoAYTdlEF)C47m#tPr?nK`AVq$J=*-UCJ;j4&WxyPT@lvmjHj_(Yx-px2#x z>syzXEo6shJ8M0V=_kaksm!snfD>4kq|vyqvC?8Be;!1#MbCPJv%Njy%+VF6#vLHE z8}csP=+$EH=Lsa$Hs8>~Co8a0FU%7PV#kMpt1f~mw=YOQ4H=hoF&q9@n0}>B<*`k_ zFkylBN}|7$BRBw^X7SxY6$i0eJ%|q1>`U@3s-|~U`AUCc*o(kS`$ma{#E%0r;hp+D z6UslGxh;s<%XuTSW0=5!?iaUOL+eB9XllL9EIW*&n^3_q&f4+7UAFV*qXT)28Z2k6 zJaIP<{r7Jb&02-NJ8R{JY!%NjlU6*k7qG~9j6JSL33VMstLtD_34zt-Lb6O3`w@5O z5x|q3WM=^@!M$3FfZ>{TC-<*E#4*~mQro`e^GfAQPsZ1iX4ej0YT-0uuBcxg zvew)QJJpZ5(Ru6GutO`JIXPn=LTYWblc2N?&RR!w>luA_&27(sA*gNb;L{SHb#VCH z1ZDju=FZ9MduZ(%4oDwCM*~Neh}}jbVv{CQYdvkpGaRawxVX!`k^>{pt(7=7X?*ST z9)aP2Q93t!Xa~v3h5OXQl|T}{5~LJ3D~2Ht3fjrzdT1UQ4%4Yjf7oQR6Zd2Jn!rAfIIh z!@g3+m`P?HlaDzq$eR}seXC88w_8g$v5FFWhWZ1vCX z=vUBaGyz78t3Er_<^bh;!!K4=(3V$0KrhR;>yYlhGN#RHZ!I?}RK4D-??}^Noo+9(orP zF+Q1NC!b>rjRPu%KKIsb>b=yRs4&d6Qy|l% z@hn;12ao^r7eD!=%R5L|dY_tiIO6*1q}R}}UFB19F=M4x%B(+cM2PG_>UNt|sWth7 z(|16eM_R>~@VdmY;j;$S;)ag`T0gejH?|94sm_g~gXp0hZJ6SWY6Rp)I~G__7s(8G ze2&BW1?~dXH5tC{c=Twyd4N9f1}u7|%2m#oh8{PJgb=T2;h69feTod7{@S}C#TR+> zYd%8cS*2mQZyd*16-sU$sAZdv1@wg>?_rcSK8LpZ(NHqJVsN7}n2!OVBPb!zZ3t>b zkM|LV{Ra2s=D2T+)!d zW}_Vo&CgqNlQ+0N=+Chm&y+?G+Ba|$O^u)MaN$ePGQ+GP;Qas-e`8>>#39W5kK$jB7*bpn$5}L9kqvB<3JspegQCuGQ)h z9KZu?`rHBV=jrF;+KAat(zZ;TuI`yUgX~E!Hu0S60bF}5wr+=|ruT!0jNgDab*k8r z6_gX0k%pee%V9FUq{daAVfb|>?<3G^i)@7A`r_9~_O0LYuse5+UT&<=BZQnCacxVg zQ?uB}apH%%Zu*?TJDV*nkThs>|2W3r&&Y7Y_ukQGD{H@jd_F>P%sblN#L*KROS@0f zow9xP@$mh~__s$Da@Zp;YmgqF^i@~LZM+7P$wp1kmgvz?9Eh=LJm`kjs$b)zGb0B! zV>@`?>xR+PkkPX@G)5h9s~g8tW4bBvSvg@kFHMWBdN?U{(X6>+cpe}0sbBJSZi>a# z@xZpuY&EszCw!E^p{?l=Cus(?8aOCi@vMVqc#P>&)80M;BC7bt`S4hKb3U( zfjbMzDb(^WOtIsmnT`^ng>II46yjVX&j^sbQh6h6<;bpZkST-@iN&~UQiynV9Oz`8 z;Zj1QEiix`RI7cxr$I+tn5lbY1rs&WV}U~4WlA((yI_Q&{H|e8(`@RZ(7^ETm@sk% z*7RpXjKN-U*!9fsr}e< zomyJ{5PvC9p(d}uN4lBpoe2W9*_1|!d#I(qQPQX!j-SE@@|WJlpAkPN{emU^{be85|gc>Yd zmsU}5U7BOG8NR30MI1(+-4`eM$vq($Ml_km76k|h3?K~_am}|Nraq&yFv*Uy_y|E7 zm)-r!+%cafRmPJ%wmjh$1!7WV=rlA?+}LznvDjCMb1meC4-auX)hcJvDD8N6fMt5B=<5?J=g67 zW6Uy3Ah;6g^Lw_-*YbMB3_Do5B2OhLkr-5NE#|P4X9BhWj|I3(0i?x6M&WoXnM*G= z$ZXe7K;kK_Gs z$1_97Kv@!nDK{{-s5_0g4Qkd&{zg}(qI;avRs$IiS}a+G9K&5wDid6ebr1bYa^KTP zG-s9<{B7{jaZmUxBg6Ri&nad2lqwqw$9&(h^J=gH&Qe~V@@?Pu)$mZMvt`TEP%!ur z*|BFEvozbTbc@|t+HYn*Gw*y1GUiRxfR_FhptI!Kwj|dMfx#)QIKYPh@4p&y9g5Qv zz2d?fz{afRzE1tU1O`*KbbJ^CP<)lr{Caj**}#3Bo_rb2(v$mwn7stHU=*TGL#yue zRHJL4GjOh;7cWm~+ijh<-L^fQDBbo#{}R9-{K94an5E9HEjsDT>11@qW3z3>-%i;% zW;tW#iA(-p`~50Q%8*fH%>*MlMT$LU8d>t~a(K0}?XwIiQJqI4hG6hCM-(9=8{olBOBy+553+)&_#hL{YLb^ZTrwA86}j06lYuP7kBqhZ_iUAKWiX5QiYOLp73 zC|_~pH8Ie8e%{a55B&yMYu;))pwU&cVV4@`t1})CZy=PO*6H_P_N_lV7`Fc0e)f1Q zryN3oH~@sh?}K?{IwSsYE_A*keL5tyGq|sq6KMUVqZefYpJob5E&8!L^sErqc3`=b z{G_W!=U*5z`p$EC=o@2In?5tG+0TDj64I=A?#?yGX$ZxJVWxyyL0k?POJ6M?|-AiplB9* z`uz{?g41@;3At$uD*Dxs*o7uiy48XL>5vaJ&DKzQX>OpUdGzQID-HbyT}x-n2U>@^ zZ)eR{5XY^9WFcJTMaRa0MMn^NawUb1HSEx+$RIbbfn3+oT@Z4`q+sWr#PiT=nCl@R zasReeJz&6OmOfuY8mhcadbGMBc|dB7$?wfFZ&|p>_L+z|*>QOvExJUkB#Z{qYtxnb zEI?4qHgp=aW1X|lY%wne^Q7_;mJNxGK?ar92D9SDP_D|FCbgF4$lLUium(1VIHud05b7yW+6B20o^g~fAyorIi zhUD_%!(o>VA^^RX#Jm2n9{i!iHfzxMJ~}+%SUmkmdnql4ual;K=^CS4;awT zS`-?~i8jj#&!zEGNXRtqiogZI`K<)Fn$x*j^SUAZ)m~!2xM(*LVmE>hj@(QVox!}3 z7W*m{?|bC89!7DPXI&lJi$SiFHotq&=Lc~Ir-q9`ZY0UR@zKp3$y5H|wJzi(!{`l0 ze+qDcmnrssAB`!y2l)QzE%XlHHzx6J;DKK5cQ5uwp)PSvDmf#|W$N*(1$}o?^#M8+ zJW17v^-V^#MruT!l{0rIRN9c~F z#eq5S8@RsTN6*Z_wX~r34&HDB;AN9BkNF7MvvknVU&vm!{qq;27x&Ibjqq=M_mfW^ zvTQd6IqD}T@s=550JQaQha0-=nJtj|S-EFsl_Nwt)pz;2*O`S{uCNJdXp_~6EOx8b znQ-Pg1l4RLNeIhFR`OB+24AhSHfKcL7bawEu0vDb(=|pwxECObBQNQ~WFkVQUf)}* zBFp3%U8=i5U&$zB6xl=GY7pK9ha(ujc1_)3&FQ;R z(o1-qNdz~`z*Re?yZIO0T2-`)>8~~n_hyK}N_EVcd9$^IT`^=l|Gb1y^-zmzB~zof zWxazON&ug?;xeHjFyi|_hlsl0<$SA|FA?O!HZv7{Q|h%uumOi!5@aw*6@T3&4mrTtUNd{ei2_Kb|99Hzg&1tZPdq!zy%NMYShwYMM@Rnhvy$XnNnv^UQ<9ima#zm#SO=M>^J;G$vD!V=N{^AD+IJ$d)nH z4xezw$c)>-PMequr?Y-Bu(6bKv639@%bu_9-36=(e|bL2>G1WyxbQE;?!NEa_Q=e& zX-y-|Syz3wTeIDwhk&^LgfQryC2m@E#Uw>Vs{K~@IN$Lxbq@7E`_|yABG0K8jw*xM z$R6$U%ah~BDUZ9Bx!1)}JQ_2V>M~DYAVV+bRxd3$50;NE&vY*vJY(qPJvWwpHkOv9 zy|GtttCzM3&U=aR6K8nn6+MsPWiN-4lJs(KQbVU?p3h5E0ZKr0@VeE-pHGT*8}R}$ z{=;7wvpB8tU3SXeq;oc5#~m5+P=E~%d4)`S8As+?lA&AP@{QvxLOyiqwpdUmrPT?4 z%;V#lM_U3ee#x{K9s}yeWVvg#VnOBl7F_0gaza*vDb-tZm8;DrKWm3MoLYLJ&muF& z9)NSO>?7Fwm`ce^Rt=3eO*6I*W83oi{E#2P&Y(7L)NOp@h0V84M{uYzGzL54MX2*Q znVa^lwAMjA(!qs}9pA`9bcuy+FG5xkb`9cCgQsj1ad;NA%_K(=^IPp8W#H`B>%RW+ z-z)lO;D?Kl+3N#i2VBgu-$0Pc(@l1}Io8niLPiYnWl*Td98g_d=C?`X_zORvVUD?} zlDc^MeY#O)dv$v;(L9J_D=^j&lmI)=prt-HRmLj@o)sFKhJlAU0~T0==NVE;ks+zQ zc%E}=%-Li@1Q`NFkH<9s| zi)GA8lg7PNTgDMiOI<$XR_kaHIicmm#(m!8j4^&p)$W#IpbXRVjIc9i*6_3e#web(4!GHy9f5D|8_wvB(n-Cd4lujKGuPSZWLv_oUC(lCR_ z<1O|wZw>zP^urA+1T*^n)^3@#c5JNwu3teaYaU+)92vj-ok7k%zZ=K2(^I7xT#%=n z2=?G=9M63MTW0kkuYWLoZCdifnBisfj^WsGx+Cthj$Nb%Bsh8K`q=F5tdEqel|H98 z4U?tZ=uB8>A3}Qg_;DQIlAQZCNiR&4!WnDpB{he#16>(2i~={r1v&R(k{P~WrPIyyb$r*@Zp z7^mb%G2Mjh3l}HpH54xur*28*ggf1oNJxwlVox~KtuK9|Wu>(9s(84~$R79sxB>(H z=iW;1*b*2jaNK~3@VQfx^cxCU?(2ey6l=(rmiT4}E&a%6z^#Abgf#4p(bM;kYmeiH zsb9EcC22c2^*hb&df~JeCkBgr$M~1O`{B<84pZLpp@@!G^?I~r4_5uEW|R-~2dcT4 z%c@?P>wLE%_LtD2$zK^nIJ)WO++^w?Ma4+I%j?a7j~l z$eRr=F@?kAQ!9UKmdPf|E)4fwFUgWXCx!)=r`%ctLX)}vvl4qBmj^2i11pt z;gL*?x5a+P#SWIsi9+u}J)}H2GhyGtDTm21Jz!tA!>)uSK43Y!rU7=WWl5Ts>GPH1WH58m#2J~XK zHKiIx_2ZU^PjelzU$pd_*{t)dV8TBL61D^wVyfFrN?i^EGGu?9Clbuedad+M%(GQ1 zh8)3nYT-zl30cAn3`lIr!#YAV*{EuK&B87WLW>pPJF`{YwqZOXK`}K#q1Fcytbt3eH;fH*9Y2@yL4$_+(XG#IX3%*k7|xmp%ur$ z#fjP0;CoE6tVhAuU-t4$=CJBqXi1v&mhXRwH9QRItu#(4wkW&Z%llZ`ud~z9>&&5c zC|${z6GT6vO(_%f(VD7g4FG@f=jAMR=91-$D;Go=X8ReP$d=;zL_e(ypDamk5b2EW zEMj)$Nfk;@KYnGMc~?c|T^!x=qY5tpUV5zs?CW_mzpRr#8X1)a<1R1ZOb%wTG!NpL z`&y*k*MQI-?9-%OYj9wTMH2{Ta7G6%dhVi6Fn2gx3Y-w6W9gEXDc;T|XFJ#6CcnCf z6C=FQsVx%cIFjznsm}4PfP8OyT^_u&5H@TqKPGM;k?Q_&6O){}-h6Pk;oogOPyQl8<1 z`V7?2cI;(nvk`Mq>0EU~zZ7yO9T%LbqkT3UBi6*0rF(TX<_6MUz?2wltARcDlPWbS791X)(eQ*KHaVvjQ>-)a~t2qQk`Tz|aXoZvf{R z2yG%6jQ`+IKo7k+ba~4cCtXROBuXB%B;U{zBH zVreBdqIC)PE~H`A?j+q4J-KoEHrqxQ6xZ#10p@$tn-pl!mrSat<=J^FFFxT#OK3?!F1m^XoJLxINOo}M9lG!-W;B7jGBy~^CXw&46j|JW7NEA&I zZ+WA)ZE5V?_$Fvy5OX6dOXZQOGP8DQr@$<%LCEpn60+8exUr~PgyTAL>|KXSa z?00?**Dp&3yDoom7EUk)@h}FgrPkCEgVy@#Kl|Lm84?Pq`Uzd<()>B>-%{OhsnDQd{G=uQ4P#P+QuuK(G8 z`|Mvwr&ZAN|?a|Mky){qO$i-~L<7*bG6AO+7Ysrlz4-+nFjE z2ewFcVyit!%=qR!#ZZ6t>%S-6CFl=Wo^_8brk2cEg>EftK^Uuou~R?&NB{6o{^Yh^Uwb7Z~W=s`mI0t z(eF!dPyV&fd%OSKC!gHZsm7$+%so?W3oSYgK1eLqBHl0ODi;{8wyZ%kNg)%pQ%<_U zC-W-jPN8svbMLZN@|WfPws-|FRwaxt92zDz%h|Pi3k^ zr5SXvyDeV^X+`06)^fuTvX4Exl4Q1no|8;ar&Bqopi=Iw*=5~u5Y4+x(&gE5(}~FDe)dh5a)4*oI3?~Ts%r}g8agi zOAyU*F>aaqY|wm9)1}df;GHPyD$1v?((b#ho@4U&OGOWAsO4fw zt^fa@jl_$WQavThseUoJ>x9}syjyvkhP1SU40IwPRT-LXsOmux)Zr?O z>K(CyKC;RZ>JljvcLS+?%?HB4>|)+MXrvrqApz-mCQs?-)S4H%HT4q>qvf_MvDwe^ zWliv09WEn9BaS!lx=fw5=?Pt`?UWOxJgp=bwYoXCvpUN7B5iRR+kM_a%$?C&Z}<+{ z;)>hs8qVpS!v}Jp%9^O%s|VH}Y3SlMO)Stj={+c=b+Yw2xU(Q~Z4}$7vZ(8Q%g-LO z88p^RXAO>_#^CKUFw^o_(4*s(xMN0u>+O&0t73k^r0)nm8e*@idUds5sR-14-s(_) zi?87Nq$NDj9dkb1m9=I^aV*9mt#ho7*K@uIKYwPvtmv(UWSul;wiJUq@{OSP!_#jQ zHz*=ce^~T1+HVsG-qM~RnGK(1pUMQfvEGoE+c!}KJ*CIA0#L$${+QTxu=-9Y;!ekj z+T;-5-oDQ{*wLKGa*9&kfH(QnC z$|pq0i8AbM^KP>p5cCKBsB=Sg)}~ekjrsJ1)KIT;1waX68ev{FI4~^@xOY{e6yeb+ zl$-gHA-uc#;!e1g8(@|;_Qcf0K1Jq1u12S!>)Bo>_M>;v3XCw9WF_N0>M(7qgz9M` z*QYD*{D{r!sndvIYHQbx12!3VUm17b9=v;%cI!>_k5vE2^pCYci>9P-;foB-T$1{1 z&7wsal>>3yIN*jlh0F4xGN;N5t)FH|RiyN4$tp4c9vwbWLqTFrpdp?(;lZPS64T1i z2coDSBolO292uRv$}36t$-gp8s4`epi=~w4s7b;$R5s;m+~*TGx^c2gNo&TVvhP2`Ts6!+i$-7ebOymi&OEr_fPKN#yhfuNgLU9mw}?(*R$MTQ-l==m z_rj@UT&b0Avq#(-EE;4DOSkHI3XOk%G%Ya0D?Y&Wgq40Efl9Kyt4~GurwyDgKyCKc zoSM+208>D$zoClR-=CVdni-N~_pW7>qofOeWyKCP7>M6aNWc7LC}Q+7&_N?EB@^3) zi^VW3ap?vOEL;Rj9nj%8F=K+MDES@}PXqxi-HXW9 zQ5B9u<&;-|>+!eHk9|=EJRL!S@1Z}s0R((MVt$roWc#B1=-MoR?=nUJ-$%qGaF-Fk zcO&DEhN9nMkD*j@W-U%9Bko# z%7D!HQ!835KefC?@Tui4yicuQ5#k#Uzp}{YRB@8e+W0&|d$j)4a`eAw>O9x>1nvSoqMX`;Mfc4O!Cp6ghX7Dh(2jbLV>1IZWA1*t(k(d z9$kj;+lwhMuCra7WyMH`_X6tp9T_?GO1UX4zUr^)qSMKbi(0DM0Tl*pFVB+tFJpO7 zz)g{bFG{eo@6XR<30zU4}K8k#HWO~(CZs+I+Ci}uueOdl6lJL`oi?w>M~lv0c_mIPV%;A>->Sa^k%0`eyY49pVK8na?Xc7|uWc z$tUw*4fJVSdEAqX(cKYZ#}LyYHt^QKN30Yw#wsw#P7AxWj-xWu^?^0~%tK_QGJg`I zWB!LuN6^}?p-<=lBK$BA@=pC>5b7-}%Q2xy{U`+x4!JI*`(c>y5`6mmHD9smUfO9- zJHnvjYuVC?Onx`{yY5HNb_g62+_A@X)-Wql(J^}o`R3o`9%g&4MLmR$FD5YDlNg%+7UBV1{}dV51P?_|B*U!hxHwW86OuY(>!udk<`u z-hG!73=^{q)$`L^4^OQClMztYhVKm|)U^IE2->_MPp7u?0q18eGH|V} zLtU2-uSTyWb#-ijN%j*8UYwYrqwv4g%adWb7ZY-7Ix&WigR`xqhEDrUph#&>C=8;B zK-=3`oE_5~1|J2F@;_zrH7@IX579Z-3nq>=j$XQtf!i==546BmFX6L*l9zx$O_aAl zmhU3X#Gz}cVXYdq;+F%o6^_A6$5!shp^vb)5A07jL|$`cnMn+RaMkzUmD+Bk%KF2* z-q&WEuh+Z^*mVr6acwSu{=;O2K6Y4xo3CZAM-wX8+xP8}Zz}bOW3$Qo3Wr9v6aE+L zefk~%Sl!3uyY%BD-5LGi#K}69*53AAb8ovWms#Q$?{xP}SMT6^qnG9#U8JBdOG7nJ zUvGLTaQz;=29KyrNxqpGw++XsI`1FaVk&t34mplP)3 z<=sni7<@1c9TwAM%!MxJHTqx>(D7+2$*LW;^Dz61^Z71uM<+ zwgZ4mzVPDBKqo6oojPsM2OK3HVzFAt__Qv$XFSFE;EBv`DbL^!)#hX8wQYvWmpZq3 zamX3|N2hClD6<{iycu5Pw49BsL@`Jt!nr?)#cZXrletw}h~v=>so_P=TB{xQ(n@G6 z#p_;w3@ta9@U~}#KCTP^{F}e{$tRajd}21J*DRNY{&zS)bhg>Imb~eGkCA)_notZ1 zRpuI(5UYjNHGLkPQL)#VC4K9G<(Aa8WzytI@*VIr4Xp#wj3x7@%V(La64Niw96Ai4 zRb{Q6@kjVmYB_px*uhmlsJkommX3KqbkC%$rye2mxSnu=m=1kQXDQIF?bw_pM-Js_ zc4|&bAHxc1FxRc^(YuJK*jK1*dSa|Mqhmclx9*!COR`OB=zNm$*(ocR|6v*-%3N->L|JT&by-N^~&Xkq5Ta&oA` zj>2*eZZC(N-mTMM-bjKlw!G*>EQS{z&8%qa(pqEWovvXwpSsIO>l1bL&C!;8xwtbA ziTP^YQOf(tt_tJR^d;ZL15@u$Z5`)~UT7W6*6`t&6u9VFPr0{rtzk3LZeqo_9`0<{ z4x4aWi%dCnuwC<%A3hTQk_jhz=?+Pt`MB05_<{j}P$%Z+BMj(yasvkRHjI$l?$RR!3du^BNg3K7UJGsizI{1>RC~n!?cZ`Q z(lbH4WZkjCt3DvJNr(*1G8EhgWAk$s6#72`j8Fyvo)l@LV7;<2XD<&Vla79_6!~9pyTK;`&N~w;H0tfS5 zw`N_jdXD5wZ|YW=cYD@Kl}wz_E_Eu4;+4F%ONJ!zuDhc%6l<#%Vt-==W;Drg=jZgK zUYj=%F=d+VZ5%z5A+|F2mCn{bpb6Ofe>QN$aW)z5+exG})ULf4)^drK|3K7|9Q}qT z!uLi>UeFTeL>a%(6=CRG6!>P6m^#Y!)b6fS5=3o&MmGvpaCvox>j;Nl?5}41^d3xV zZoy%WFODAj=IBs8Hj>UdXOXF-Chc8XKU6G8^L{wAL%OCp4zqp?{8{y_WzV`O?Sp>x z0qJ|)l@HxI;Vg@-_Jv$USMVJgma7bG@t|G(FaG={uw5P40&z;R`O~BO#wXuo1kYlQ zQZU&8+w;G^31ol1h$Ee^KluhDXx7Zkxnj&eQRnQFZ!&@;)9EBv@zIp{TZj^$ndd}$ zk0##)2j(%TSRrYo*!f@I05T)%7!zCX>q3GLZv6f6&>;aNwItBskv{wV8-W#n*i3Tj zO}~62fS#`Pa2&Yp#b4hDG^{x&C1L>Yd_C|jnB#T$+<@;P z;+)?(^$@5GLE&yyZ?jS)z=tEwxkl>MM`>5V}+!=0*Co% z1l;AwQ0|7G`$9dcS1&CJtMtr{^Mv0=BJkXDd?;EUkAnBH7+kKwP>SBK`wQ44zyWt%mUI&u zx*8;%#HlTGQtm^JCbL|2-w1{O@w@X(MG}#qBh$oJaY!>Nzc-mEW5ZwKAi)^+vF79{ zal=rF%Lu)(BEndRi_!c`n(~=FUYok<<(kvQ(p|o~`pgbrSsRrXP=xA~t{moF@Je17 z#s3l-M#(_Yf*$tZ4}EF+q3iRIe_=BJfj=PNTC18KAdK+W&KE3PMQabe?Nrlh(mFo& z7SortIcpT&+5YA5ug&XTlB-|maXrv(5AxnXEM`I&cgXu31_NTjxh@F&V*R)oUeUq{ zZ_wugVGsA0+R1_7t2~yKIY~wowC3fxEZ^W4k)TzkNv? zH+Uy)zQN}4BA^#&^rGcdXk^^hSTo7v!EJqsmvdv=cptxR^w$grMC`FxiO6+~_1M%W zT$bMT9*!@FbOX8Q{SaAl14SBo7|Ts#=S zeeC%2zifYaj_@O&e~48$04usz31fXY{4jM4L&rEFR5quI!nI6-Ol<^-B^^A+p#nz2 zp8vHRUJwFT%H7Y(mb%g4`js0`Kg8N=hxU{avwgF|)=!>(*s5lR0d(c`=^vKFVQ9lt z)`P(|us!|oB%`rNxY6 zet7mfpKQjbfWT)mu3=?Dtj0K&@$=mBzdRlxToTI4tF2lwf)E${KC2l50%_UYm1fH@ zdWNm%6@}zP(m`+NF>BBUb1ds4_=CH^-0YBvZNi0Tbx(i5yeo%Fw8R7UW+}NZ&p&T6 zZS)-B7}=4|oB-%V!NR4lID=S2Yu#@OwZ4D)qvq)!^xC@GKt(z{eZ3nD=3`H-m5L%e zeqC=`vtDSr>~#>0lym{wg9jHv~&-n?KvFl>fo&S%aF03i`eQ8 zXjvbzBr-YOWo%1*J7pIZLc+4rL*7|PO6!!(SULQgTT?@0*H>IHAM3>&Gwvd?^hdKM zs%Y7UbG6;T@)j&U3Y>6(4Yb-m{Rn4p)`!>GhABbolJlit8w}SvXKkEKE6X zcK2%5qI&uR8Qfkjn5@OY|3Jp^(`loW#~tIPbu%WKvBpovrQ1FI=pb;cz_z&D<0r!k zFl#H;gV4Pt^KMwfC({@$H!GO$)7NER$%GiJ5L?3s1Dsu5u$ROAZ!Jkp{lNsLc={R= z&IpDrmiYfK#{R$hi+^F#I4FGLt5#Allt+T0%!uM%yabo(C?&C8qUd)lB=0z^1CTdk z)*ulSnmVmADW9A$2QRN|NwTWQ5cDm;h;(s_YfZ;lLf&C z2L)!HiAWP@v2VceY8aO^fL6U#y<|aTl+2y&UefcmdDSR>C861TD;=W5fKwb=B193X z_=HphQJ~JM{OwFpcn%}#3)eKd!suND(u*g!IIPNh+C$4RGL>TS(s>yh%IufxdS@?h zH3cPyV7h@Gjvd7#4lYamo^Y^d3Pa2t7RR@@@y!jhys>8Q*vm^>l0r%5Km$_336=SV z!I|QIiJbwN%aN%_U8Cc@$8LESdf3nddcNVi^V*0aq7Q=tK`FNzxi_ih+RtpAk2?5* zOU=bPqj1xl$Wbi5E!%UP6GYaRN z@cLBW*g34E^iBf3mZWy(>R3U0BDH42j#!2cBjg0j*!ZW+cvG{|s7`~TOJ!rlHocON zXr_f2YF=k=nL%GMD14|6yoP{Wr3GZ0EJODdQ>#H-7&EO%p~2Q-d~n087>CR{O3h+J ztWr4a4zOQz=a`uYijH6AXgm|PoNUp3BGV;a9m$)Cr1Fh=m`Ux$VNf(&lx;6E$Lsg2Q zvy3>PU9y-0^9t3>jJySs#l=t%cT2RCA-HT03S&YjheUA>R+pU~;6h?wXFJxZmDKBW zW*Mh_O}l>ytG%y_f*Eck^ixtDL7y;PNwMwAzqX@)#5(PEpwr-(>}d3@0)tO7X!1jfV4cqcLMSneQhsbTW;ccIc^} zwC5GW?BR`+Pzx-GooHSqs|Ph};7J28N%8l=1ro5N5oFw?F0aP5r47q42gbktT^$q( zNxID$BsK_UEV;*U&nc%@GfG_c6oR>QEuF%{Uh1Tzk;U9$tqx(Pg`LU2XsYq#`_ORa zeRW&8@S{kUjcHJ1vu$!n!>hc=!5T0<&(__&v+g}}K`m+WgIqBTEXiIf@~S)6A3H`y zFz;A#7|ooWvEKvTw-LhlVQh9c|ng)&&>zyrJ(6Qfb>^99ufMs7{zN)f*TystIfN`~l1v$r7=*a0bC( zj=d%uS+SJ4WbZS&t$G$27zDJNOU*szg+t%yY@aYPeVqNx<)UDx`^JW|yft}UP?Tmu zsSCWj=+CjEq5m1-&!|NYCt%>+!XO?XI7`EEZ!9~%i(<)@cnkS>=<1&njfl#QxlM0M zCH`{g8qT|pCqmzy{?PY&xiPlni6(%v-757@A}s~jw}!^i@*UmNy+QI=%5^R+W_lzd zXMG_z`L6E!SN;;Y?BFV{6HZuSb=hW;%;PR8nTb*VzT3RgW*y-=@|##($f6H<-M8l8 zQ!bgJHcX{O#LQK;ZJ0fjshJ{e?wZ_61Db5pyd4CBmO-z1WzDj0K!}?@2T)rQwUlxj z2tfL!PCm2%msi6z$g~DSYLM5bv=$ejPq~c00D+3W+Zrj^toEFwXJ%fvdLU65XP7%u z%tWH>^_%2tld;-Wowv{8pIU(~D6{TqzPCe}z{D|R0uQx_tgkuA7B?1d`mU2iQ3nc8 zC(y*ykqlGYykT}EW+jS6V49)n>U_;Zp6Bvj(KO++roTBM5Ccv+}6Bj8Nh0!sXO@kaw9y0Cw3bC*f2Cgo6g!! zF*F{_L*Q$=x@h0v)qTIgm(x~rMtAlXpg%{2HH880wN=At1&isnSa&*_I~xZ}rg)V* z;Bvi=G&|20YfYCY!Sb~BVSFCZfW>&KFil9Wkkrh1lZia-(owWUQ^ay@Be z9oC-JTfh&kF^l$xo!B+w?PYhV`R)p1ajzd;qXW@wwCZtATTC7^CoNj^>W;bD3)-x5ms*AENm$^T>+A})5=;y<(nq!J7$-ttW!|g z7(_Ngefu^)0C1X^=T~Oe)cfsGg6)77(^N2yL2lT0V){0JdjX9e<5I_%RYGfhQx0(` zXE_T_5p$|1oK0+C^4$vZ0j7tTwim+9Z*T$K>rP!+BXS`pZ6(vTQ1S`W+tk>6Z@M zlxfB!2eeekVqwX_sNu}Seer!Z+q|h|mltwyNW$Z++%1#AECY~etwv(>dsZ?ln6qAo zYrH2==YxRS;dr(MDjol6T*-6-a=uosbRFtxv2lR%MqB1i_}izs+rup{NuJb$c$$d$ z=rz`lkIl`js`Wc4V9Y|nB*zbzh6RxNe3K8a*}{c4Syii>bnP<$WI<5^h^}Wp;uAs8kUcxn;nUaRy-E@{wQ0%HLs`E5oT(U2|xb3@EhIXTu=$~sjusvNUMDi^#qB`X|Gl?Er;KMCT! zOc2)|GikXaEx6;lnt4-;&*|~-n(2P(O?BENHxKUkkS?HbH9dVrU@7w)f)T0e=?6Rt z{3w$;-1-3O>)`A-5P(Kn%5|n$BdE5rtCf_OJZ(OV^>h5l_z!SV>Lh~GdmqFj3cFTT zHMpatj8wjDmC{+`2RC<%8RN|R8j??Hur4t(-{~Kj+Au`Zb3;oh28oI2%;F!B0fGDh z_bpAb5&@_R>+}&>H?0K$pJLF}4Mu&N8QXkg@SMj6?+hU!x~HD6wgNuBcp}NQd;_7ov=NC z$fT~u5ENxW#QW5m{W_+Tg&5~c&-10zLWOozrB5kS6HC9efgHmDJ?{qjkKcW%LKoks zaW&zavszt}9}ovbGBwz@N-`B=u_+*3KQQgt$Rn&U0uwNtb0E=WS*)oR6d#>R^sgVt zoLZK6vLjX%nss-4YuJfeMZQ<8BqLbJbMNrPat+FJ9K#zyN#X_CAXUMflMO|MLw2ea z1$F3G2&K zMTFkR%tn%dm1VkopLLbaK!s;dVxq;Ls=dWGre}k`9)pe=stMd6qL}sR8t_6&g zfOD-4_aZ$D$7uyo=u644IT*}x^y6)muK4hvw=GC{jffxEtQ~d+A-b+9H`f0eKbq~6 zfYrx>GYCV`*BevOi*4UTBxcPhk@P?e*)jITo_){@eQUD>5su!Ui$q_VlaiOE`r@KE z58C0+yxi0Gg;^ZyRGa)%C+{wj+%9M0ZI*+=l}AYQH!!t@RsQad`^;F;EFkrS@e%K; z$U1#A0kX;h8Z-`0ko0SCi!a31yr$s-@)>q2uUaF`vb|=qBQV>Vef9!0OcHH6nv~Rm zR;H{^82Mdg10+Av6^EwJuVH{T-S!ftO_o7I9I#GSua&^@-H zD%EKVjUPOV$t@_mEfdDC$XCbpI(_s4t#2-T**DBL&Ud;AtJ!DoCK0t90}}KK2VsN} zg6oW*eBdUc6RA{cn5aZp(`O&DmAbk<(HiVW{(K(*b9DN$?}Q4c-8lQ~eV}OqNuL>& zZR_;W`|rcQ{Fi=yr9!+&n~`@7Ybi4MdY=71w7pA@EX$TAbndxT)xrg8m;pk_3)j78 zCv{F-e?PX076X0(5(8RHJls7ZJj261jz2PXyssc29!sjU(W zPz#A^BUBRxOp#!On)R(^=C6pzoqKaz=j_bLaI<9(x5rv$Ykl8C+J@yJTv~x>$b?zh z0Q5^^ush26++_SE&Dl2tOz~UFM^F!CQ zkcNvOoZIwecDPRMeFa*2S2Zu`vAoOepxlXQx*_^bZU19O`n1Hr<%m@8S+kem^V5;N zbRpm0AS4+bu*9GrIzgf5_6xBE>34frL$|$p%WH9DG!+hY7PR~E_0SSVeZxNDd+f{; zSHZHbE7k}cSHihKSycC`3gVOi3hxzEdsN*4j7)cEIBuw3z&+5JfIBY0=aEB`AKD4s z-=WQx2J+SHhS?ii*7ugdKtsliRE+nAR$_H8e1_RE?e2ZqciA9#G~gunj#yes8CI)1 zlid$z{?)7+XQ<{PAQcWLzL23^)yAR4It%9L8P-8@pE_j4%aK(L2rBQts2W0DkPc*5 zoUimC9sdGt&e(~dQmt{KLv^g~w%t>AP~BnZi-&XJ9!tc?FR3i_u?GNywW=wL`i`V~G%i9I*Pxyl zN>kG!OHsnm;<^QV)XnU^LzP04^Cy$f;Hzu>X__abQpoJa#R2@ugz6q-Yhu`9e+$d$rpY|9eVYS3VHJk(JV=@D1o;B zoYQ(b?R#45bB2HAdqpWhyDtq%ix(Dg1B7xy37P7!2Mtg{nnz+=vv*kU3O>jfF-&}f# z?9n%5cOztvkUf4!<<$v#0jCvYjFB<9o6)WBXLJJN-}}WKl5p&tJIr&^K>Id@9Zvh~ zq`T^CV$cM@KQ%|RJiOiz>(3dURvgjOnUdl$2B#kGumR)WUQ--C3eu#>kZM!{>8W{x zgb_ef!L8M_-LbS3%_}FnQqA{ra;@e1F6)i_gzWt$pOcO=$8(2}d1mtV5Q)zyv^`UT zDk^0~Xzj!Ir^w-0e9Ca~pVq==BxP$}J}Ef)UWM23Nj%L)oI%i%%ghTqa943y{tn2! zWP&yq@IQCcm%E}cs83&W>^-!PjZfy@I(*>K4JUfV63QqS2Dtv9?6}13mwD3)y5)fe znLzd2WQB(=SdNWX(As3wTVq~)pwzfXd||@7JDK5TOqrScc~xz}u&LR@21hy%t6fy^ ztX*cViX!hG=X7Wv%FB*c|E|alA?Lv|wvcfsY3Z)PN3jy%tOd~9C3SaI{}XH_*8INM z0)~yo(J@OvaKarHVU>I4tj8CPNX;~*8nn(Lb&wB&dg#jZzJ-FB;UcIK`sSO|*b=)a z?UAiIiFYi;YHvPkKZ?9KH5o3hGO}P@+hW&mEoztmL^%c~iPavH}F-3K5uj z!g&^xWG#iFTlv7duml-}S?wv2$&-=(29S!B=9Bv*!6z_2M(a0VA zr7b=IDbpP@d)D@l8R3)_9wYhW@VT$jZcmG&+(XMx;Vg za5LqoXS^f5aDd`ZW*kg(p=0^9=<~e>l|PS^4Rpk%$x#%Q8LP+weLcmHMLNpM1|u3v z2^N8_xZhJJTy1*pb!G7WVp@+*bvYqhfHEz#JXcAXg`@(#PM;SIa{U)8Py3aK&|~y% zzA{_{kUGIU4A2zsbq&e`I$AQ-8r=SwZW!C3aTXbiz|V-Rv4M?Y?RZaC6$cc!ay5(1 ztOVMEOILi<=wn=dW^Gj$Qlp)qlEzb(EJGK;vRb#Gmdiy5I$BmcgTKnd}d zk%%MOhj!nuOmXP<-VhTn0~+5Nb8>HIuZ0C6sh6G#AX!8vhEpi1DPa*8iPwzWn^<9w z`&fmNEFufz#aV-j#kfdhY82dWS}bz@UsC&Fam%su_(|fMtdzrl@MQd?p2$v;waq2x z32dB-3LqSCwFP$VwyK-PPZM1m>L@y!oO z{6wqb1(>tI;@?E(hbVcPj&|7Z(Ftq`yPPB`R)%=vP-Q|#0wr;fXeBH+B)M|t)`<+y zU(2BRek`jzrHXExn3{wT)qPO_@BEI5Yeqmo zbW9^#uG-7a{l%&L1ieK50zon8b%B|CpgBU@&^B#B zTdmFq!5Y+iwhj25iV?L2@R-@5 z2Osu!k;YWO^@nD+V=v-8hzW7%wg)pbmdPEC(Lv+OS)tsS=|IiBC*5GcdFCorJhcU) zjUe*W@PXCxnb3^@9iHsgc{*CiUm5e~T$1sbf^~kCbDr8@aPzsW+wAK7QbTc!P%1uS z7*x|LJPQ9pcKGslOjl(vA;A2hH9dTLOr4k;wZ)2>H+(;o;RU==P-HQn^{5~J|M}Bk zvWWCkQE^~nO*-9kbH(k?HphtqO?@0F@U>abw;1rO<-l%snXZ<}*+rGffx+iXzjq7S zCNq!K`cH%5>)$AxiAri_wmy{-(DDKbnKuh9_WLgs8rxuGAx-9Fwgs)e?BX|&HUM(N zG6x;?^0}Ft=!gFGCgDo>mkM^&+%59_ic4`Ya%30?w61{t0UW+GboUa|GE2aX2bdLx z58|?std(@;!93E??PUJPjBG%os^i1)qFR)5W`7s+%!6$C?52o}nq5)zNz>)INDV82 zfod@M$AgAUUz-wAr`TNHEND^RaREIxa;s}FHv(=%e`ctm=4T5!gUr=!HQ?A{i%Vx5 zV3^M)jnm;K1t5fRD+w%0ntzt8&SrOPUU+8Hr012SN-^_MWN?!PVCzuQQh7UT2@H#M zG~rh#$@5~nEulc=c_rSw@Y93A`Q_4a`9hsz_Rl2~9CptQnIz0cj?11NeB|w&N+2AH zhDIf0Ge<=aMYT_{I)DC)ddq9}0X*FTAx49|tAuJ1+!Q!p+>)UHUK;(H_Cq0u?vZ9e zI(`026hMnqDRCFwfls8qT$e=-lb!IuLwjO&=}tA58#{Z5vSSHf?uX_?by^7`ogchj zW?JFhcjl^^qUY0aDqd1ku}adU%;17{ysk4(`@p%7lNG*j00}L3B8~;=9$I!z!ug`(_q)|39KD)$uguKQ7DuaW z;e$zw3OeIR+he*_gockhQU2Hgk#L=hG!cy0Gik!KZv3ymc<83C{Lv?Gb<>W;OLp$H zK66)}#XOJq7KW&V6(6;yqq{Xp(hs~qyu{IRa0_E1Wi+Y!nUlD_aTaHGGOP0jI1R3; z5|SAmi4YoueAkOvIf^;ADRp8YdJ$-H$PPTSL+eb0n~-+0mOxWLd9_cUv;n#(KGu14 z6ENq>94FWM!_0leO-9TYGUwQ1U7|9YrYq^KC>H?LdM2?_h0~CK1_n)Rn|*nfvhCY? z{}XzxtbEAbaaDEYzQ#%S&ja(rGis@Gc|`xU5pnZnr<5~Ui_(sNm_=n2alWE8HJYQCA z%OhME*tM%=tj7!PpUw>qR`I)HqAbwcDQLQL(-|CSc53=&f3}Xa{$*J4>Za;pLDg`~ z!B4ZzT*rB#72!xp%^uL2DF_;D%VA8s1lNcC;VZ>G4^Yb(W0#q8nx=*JbO0Qm`j7p- zMR54d^^8Vw38=_KT=Y(H?u!N2jcZEXd`#;G003H?ACYho7i)3Pv_t7r7TQ#|E2X>S4LDx>P6;48Y|YP~&v0#X?^9)<5U(4e?q}`vcYFQ1%j0 zzN$K{=v?(HiDfT<5$^nUk#F}TnDJmj6y6-T6F5KNgOka?uR$bY&Zt6Rg zqZ~aB$nxA^+>oiVH;HL=gPs5L0Dhtm@YDnj#2Yp8YlYG>8$$Z3C} zs2D0**%mmf6tR>GKKeWx0H1uPsGHG6nH!86O255oA@Sor@kno2mVlV(c|{>0TGst; zn|)y6w-RWL(x5mzwbGkmxjF7P; z^#GY{^~C{LZuh#!3ss7oCh7&{;@Hkxy!U&(n%sRKUi_tew2-H)-1UcP9D32)*<9bg zQ{2Dx2g)<O28Ak}%j6M-xgoqX=c^`luI48+b9C%y{efOr&q(GsE7uv1refHM-Vu2qyJpco98Q}8vT zw@@9SqCTh#AcgS%`CQ&aqv)7rAdu7}p>fmX1;EE9fv5@zY|hjbtVpC+@pHu0>i8Ex zD2yI~2M8&7F4%<_w z!{|p6pJb`}w+(y9ON2S;K~s+(ug39O73L9e9I*awx@>A;QTDGR6Nm*s2|2g`;zMn) zHVXcOl%~T{Ofq|CJPyR??9`hFIOf$>(QzmVkRL!mO<57)a2krL1N!G`2>AA_R zDl>;`UJuxmOMPWP-cwqlr-~~&s-s=N(zTLMY+Q3s)#BqLxaD*OO(Aa6B{iPu&0Upl z;`xhC#z0iV38UJ&q{AicK>!6@KcmR^Da{u88+!SJjBUx#J5BuwWB+PAr?~U#F3p*2 zB@jb9i>5~w;DM*6m#4i(?^*z6HA0D|a3p#rY~cpm5nFl0et5N><}9{}=?-|C+c zQwpRHH!=OgZ{P6gnZE(&L8ShLh70K^5aof?f$}<3tOM==6h-Oixq;vE&sYB(155{! zPXBZ1JII0@{mfT+@tw`z+lw+>{m-zeJZh-L+zgW5Ko{6t56O?b@|~oUwDv4-%>U%O z*plx9{o4>3(d_#`$qQ!xd}H=m=fCqE(s`ErbM?R3ci!qdca_ec{q5l2ES)p^&b^b) zy-D{^fBD^aEmN4liEMH=quu4uc$Ji9m zEI%_5@)PZ2Ewn&}UNUhnP&7kj@lPNRu@}sdrc%nH1t0)tFMKdm_RUP_P^UE+OG7tF zWu!rzM?u#3={Y^8wNW))r#vc;>Fa>{@>$bqpsIGmmbW0tO2$eh+U1b|Su0$ECP0)|7z>0Eh}CKz8Z5E7d)?2Qw7A@l1*{e9gA- zzr#5|--96!{+_tt7euFytIfV+78BWbRr+Gq11_JAWVV|h&I9j8PZl8C9P_lx-~c?d z%^6`&3&b*di>?NDgyVux0n(;1P+!U`6hI>y8)9lG=Rfxb}j0^d+$p zx+9(yFKN5Kd4(pR(Vr}VAFOdWE8dkqfeooNU&x2DTCMttUxRpq(pI0o zQUgxKE8gDAqOcZsGBlFlP;qFE#gkR0+%9^TN5Me4hxUd@082&4E}AB8s2zOS(<4oW z>`)gkR*zQ$hxa31&9|5EcS*VIF0?y$2L)qK8_Wgh;kEjk9r_V@m#Z%r1+6>a$|>E` z(olBW+8{mcNTvxqCtpnX1oZ{{kSu(E-Q&QSzo)PF^kvPjwmSgXf}^WVz9Qiox@1m5 zq?rh=HrgLW3?*Z;1Eg)_WlxI*gzi88m$-ae{CPPb=z=T~oUZO0XkQ}Nek_;&FkWa| z#UU95_MK}#zGyO5P=>Cd&a8dut<_tcefiHv9J!kQH5 z{jMDtCAxlYPV||^8>E#jQ#}CjmC>h2A$_C!7!lh*TmZic#2cj&KQR8y4KFx$fL-?_ ztXV_{;bYPGCNzMgc>MeiaKVuyME>{;FAbJB)G!cqEd&3tsDvXB;Z~7S|IyNT?fM$r z*?j?bg91=Bw6+~U@lM8VEjXV%q5zmV*7osRV(gm`a{${!`}r?U*7*4!pJ0^q9M}f0 zR@JM?V`03r8vnWR-FIxZam-t;fJ?~;0Na|$4(xf+9edKJ5wXf)Qb#y+F>orfk%CF; z`2~SIa2Y10V^5{eArXBGu6`;x*6fCfLPij{NmG+zn~HMzEpc z4h@diX#Lw4s7*X23*IN#nO8sjraY()>Gg1dCHtf(Ua#gh%`s4yc#-d`k>gEmh`u2Q z*TyBAf#zq`cUGQ)8UR6%fT^B=VZKYWFBF4py}T>KJf03U2@G_OMK9=T7P}tgRbSoV zG=Rqj#@~>GD-szI2F$LYMe}Oz$ns_U=dbMQWM2FDoARJGu1&RJQx`|E`*OQweB&j$ z=(~i^Mtt%OIk++|S(CK$RDvX)V?MR;1M$DM+Z|UUUpntfpG-iRToIot;s6Vc%Tu(v?=EXpeZu@9%SWz7D*zLhC$SrI@Nj zpGkc=l^N-uX_dl-X4XH+SGU&rh8(Dj=NOKy$4xb4^uB<*FtN10yQ#BbfT)yqmf=d9 zG;gMh45R!&Y68r@&5S{WbU0Gt(jI;!U)}M}tflTZvtyUzG`Xm{)|D+;;odi1xoegNL?_kZ($MDtmXem0HQUSH zJwc|Z?045?k;NnZieqrd)E_cH@ROCr{?(Qf&AZ04vH|DykO)Gxv6zoqaX=X0my=Lg zj`5GaBl}k{JlJy!Rz83XN*J~;SF-}tp>S0ttl=gu?oeXO;e#&0HDSmMj)secQwz$k ze&Pv75Um^VVTn~H8;^V;@t{*YCQD`ONw*ncA*=hWnOaTBgHaMLr{?l_o#&}57?WKUgDS`2sVjrBw!{y zz)u`u2)HQZwv2Db-uSVrGI{m}+9RN0aTs%8?}$YqNkU~fQ*uAqB$4qy{_-90K)2z+ zBMG`^&4HEqCSne|WfkyvMo@j=$yqNC^f7xd@{RJ<@cq0&9Pw~p<&71D)R(d*w^^x| zs8=VPJ(o{*7ZU2Sq>b^!?=uN)$6~bKwH#ODlJKEuaK92^z^qZXxmT5TS;UBItn%ZS z!E+OUR;_s*$lPbPs2eHZ zff}3b-!^2dMHor`V3mJWYlVFv!(&l{AOth_9SPxbMEGCm%_z1-PPme@>JO2#5Um>H zdKeb|tq5=~j*y57W#N8rMD$LAQNZW#wA=B4>8k;c0#cs-iYpm$C^qgse(Xzuq`g8RQSfb3`~zKjWdc=Ss;*UrvJ1}_neWu1h^Y(6F_ zUsV!ZMGKRUDlxEU$(~iRQ$g!>IjdJNRV$%=G{Ma#POur6QKxcdqLS^Ez3Q!gsLFJf zWJ;4b>Cf!{@36!DR2pe7Q)i`n>8zqU3gY39W^=4kL>pONtP+~EomlT=^}N|tnAJT! z8WHUZqEA{-{`ic!Z%NbCFsKv7uzxQmUl6Wf5{9^?I^&TJ?~jutlCXR)vMSF&oGX{* z-2-93PSibDaSQ~yYBaxx?ycKxc-GRjhUC*Eo1*q=tXhtK0+^Ai*dC(QGOQ=Dvp*gQ|s(l=1;gu&~9t1dW7$- zhd%;X0aKKg#g!ocy@CP(E_gN%{PxJ4x$T+9?Fn^vTu9w+_c!f%cfUqD1hWwSI_6Yk zE+`OW$1zV%Al~Y_z|@?{+|wRo{L6o+EH{K4g82#b9tw-EgF_FkRq%RGF~L882>?>y zDA4T6e(@DzC70iT4vPwH$9UCPuEh)Q$(kSsKd%owOF^hU^P zvRpsf_^#ou2_}{~9m)wurwz>;#}ASXZNM&>YoS9%;i21R)^MCsqXck7Z$e5Phh)>h zL&=2+>1(nY=`*;up`fg(_Z4j}!t@!EJ;z>4v1f%zMAoO}1@R_{$uN9ABg9;s5CE+@ zt0kF6q;xqxS%#$41yl(Hj@Yn|!bdQxQ!kP2JhZ%xIXIC>Ac&NxBudD#L;%XhkH}&y zK7DHHQ$xMYxf)tIu!ihY_?reBfCG`?2iHMwLuS73kWCmEShKEFTt4*K!R!t&(r11K zOEFGNhBN61XopLNtq1osw%HSF*ml;On=2O&NdQxtU>&bBz=4A&c@rcSy{DL}9)%ka zCDIFt#k6G9Z!~;fhex6UnA#)?DtG8m69Z@>36qX&&v^0k+Pfhcy;NbmZ5lAqCWI3j zDRI8Ra8Flo9kP#$l@5J#YM3eBpiftg#hGxa0sIP0=3NTM*=Z2jBtmXnD}ZR3_V&=mOV|dHm8G zh?q6xl2(YH=KQpD(N={zdz1_>#6dSZG}ayV`rCM+L6+c__TnnNcJuBDqfO*cb#eBT z_|)WxgFUH?1W0->xQSVhXfjSV9z0Iz^-&{Tp3s!n1L!K?8tIi#7S*4NoDmNc8ZLo{ z?%9A~I3NM8@sG$dI2EJ?2*>lDQIOd)M?A~GtX03lclWiVH(ln%(fqafoYMO) z1|kE_mTN2k`ANcpmoPhu=n2hBY1RS%`B?TO?3$htZbR#S#==5V+s+R~jg^A$)>Mr* zaw;q!U5ToI%L6X9V9pHe~mo5|k(3dpVJmIK% z0lBuo2_ig=Pb?~6sUn)ZY&Db-l{?g8FK&CC08*6F!zxr~?yBO%apX-64~dl5NFaG2 zrirS+2nId-S4;^=j8C)TI@3o;MQL+W5zLw3`z^YPIoQ5VE^VYNNo#n(08T)$zbb@p zc=1ibBJPoAW)vX>oBiJlhE(To7JY*VTvJ%QXz#ou4Z!kWA&skdNKe%j046&`Cawj> zT&8YnUw~d|6u{jeQh*Gf?h&6(YXq<-;ep8{b1R9lEh{9b-0yVBx5@NZZ~Dy=&_kG3 za%l-Lwab-^-jj6BT67>x!euWfHtDueu7AIeuZ{os4^?CfUt@5TJZ>?}-!Ba6wNZAU!k2dY!A(jTo*&WkzhXV^nAC!~=&PU1r z#H5XgR25?n=OVM03#UhENuMF5%wUdldJJTemei#;s`DpixN$oxG{_Vv_h8zl0u+M4 zOOu0WyO4CWCwG=_@M}31AZ~@T-vi230~Cq&f_ZW%bhNS>85C)_+GUxd5M=B{ zQ_SW?4ze$(0MCHeDT#->CaF_aH=MzbUC?eAJQfBq6(xy%2qr~-mu^c&n;(Gh)6$r)iW(zoRS_OXE)Bi|0?W=En)1d= z@<>sG3T|lp90uuoEoHD$)%e^Fyf=$%KDXE9@r6USW@!7mK==y0X}5??E7n=aI-y1x zjDM8>AhbLUoZ!uxRHSuU%(fUaGaGR7({>1Lr|zfC_&9&Deu9x{(yBm8igA>!o7X?? z(_?ulwdi@$#DI!~39LxFX<~y!TLP>e$af40vma;l?KpE?efsV=dgS0#fDse#_^7$SZ4WrxVWqJGewwk1IDta#Yto6AzrP&{nNBA2ULvXv<6+iqQ?4vfFK zg&;z#JyvXZC<_XInq{;Ym%Shq?SxryhD~H_(=(if;cq%J(sa;UaJ!%O<_IA=exULD z0t3H07chLxT|>jcsvGXI1n~0g84JeRyxFGn_&*v`+o7$s2=jwkW_%fQG7(TojVQn{ z{Yq72dD_WViv;TtANDC022$kDj1i>kbVmjw%4q?to>hg&kW=U#h#uyR?}r>`j60zJ zkd8FaD)+YhBp&6zlr4=NFhShuPKL(7_#=h-ErGE!3H(1LhzGFcOeT-BN;cC}{HOpg zfULsBt7*C)YU3v>ea?Uo!@LPt2Fyctw!)o-K(Qlm4O=V>q!m-zw#}%vAkSh*D){Ii zb%fMpweL#WxvM>G?65x(rhmD~_-pFKp}mtoB&C3+N279}TBN^UuuoDmj!faROP{P* z5?3W3?;JTf+C#&($2%yhQ^$+nB3B~0PCO|@;WsXzD5i?x&=;qUCRmXQT%YX7Y7U^K zvBwBW=d{vO?Us7OMGD7eFxHd|+hUO@V`^L>GE(I`HYyNL70~Hl+Aj$8XsMx}g-u#v5u%>@0QrI)G3+NWAwV zz3wW!ZuDtFL$Xf6g~jRq=8s6LZX}uxBv6)w?c}6TIXoen0q1PTfPNhxv*wlGc#enZzNVnwpovDhPCc1LJ@10Gro#0y_We* z#MDMwcKA%0ES-+WnVHtC;4q3zp8`pVblsx`K$*fUs9vyU8Lz{d2sCE$9Qd^2;B^XQ z%$m!#xpri@zaWAHIId;a4NR0+oDaolu6K{$5s!hfztnoTAsf3!sH;YccK`Y(}`4?y90^T-9Hjv(6-y4<};0+?(Ue z;QJgLnCAtpr^P3#5KvxI@QN}bEFaRY-~Os!Wib@Vo;~Z2C@`439A43gsJk~MY6M{d z!J(09pu8AnQpko-)a5i%z_`fh8fu{I;U>v|1oQ5bH35^vp9vzf&GoF}Q=Ap0iNoQexLRo0 zxe-)xHpuQ^au{uaQ|Ehs z^_?Pa(@7BZT%zqGr>ApzoQchMpvX$)WXqI;7Xu z57nAWR5fF^pjymd3b%uj#_3n*kF0@T-fK}Cz>C9WBj-kp#e>{xRdnY?`(KyWn-v>a z+w{;1SqA@pkX6>YKrLlJ{V6GT_*J>@^?LNaH#hoMK|!cF3DhoCLC~<%d==!1=-~&SxrUYq57A-yr}^w4oPCdR*vQunVx_TkX~w>DJQI zuhHi~=)r9|4CG@eFf}AfGfygBM~-3eK+x5~sy}Je=4z`L4%?dgkI{ZG5_dbrZUGZ~ zYw4p9B*FiR?k+ELZj@r0R7J%oDxvkB56ZSJ)-aNxYAtD~_Y=zv6M^=uaY$?B{S40u z`dN8of>%OF}`QFH613ljN+ z{4VY+tSE^|3#06~dVnH$Txa%mxo>4oaWi=XZzvT{#)`Z5@=~{*uz^>%cji*|_}cF0 z$FT3&OXWeMx##J}O!6o-4+b*;yuJzP{+L70%1J!L;-3{PL*YyGU-?Ykmm zZEr~9zsYaUI$aN&MgISQ=0;VVQc?ptxO$w@8BeJ7(lBNBft`*>C1R2~`70qUk8J37tE&%dk9tEs8EtO__`>K?_UxeB5h z%lG}5)=?Vf2E!PF9XJI>as@0Tmce#I(;>#KY;Yl2TuGa9aWfuT9%Uqz4axZ`D7AD6 zuLJF=pZ^?p4vy_36zwO28~>B#_!NdK+k`l9ZZPQ{{md80R^sU}$2`;j957txKz`PgzId(ByJb`G zx9$nLw1KNwzGKP?l@7jTSBOgin@lnp?+ib{#(s_-iFje{Tn&7s!+UR#Voq0zZO?$(=;UmrUqk_`D_LM>hi>+-@!Lz>rf5jf?t4lcoAmNdcf^#jv zE@~$~Hdyo@ck)EgT2G(<0=QjdPT*=!emNg!tf4c;(RixM&~+`M1E+N30Vf$#IA(Y$ zUx4n{wP{gV>X$bcJZ4BHvDs^p9h$D9mE{Ppt9f_K(s#{{qesRb89z85!zsuA^UHS- zp6Vb%&z{b^?gcD3E*o#8g3iOAOq@*h?QpVOK??GmQA{+8Mr2M;CjSs#(1g~zGfx8M zk|+?&&Dq^Cd#trTj&G4r1&2#vxBvT=^Eb zs8aWV^QiblganfiAHYFvQ}*V$#LY1YaU@CtR(Rc)X=aLlAc#qYC6*+FlZ0T+ChBmU z8Vk5v3+8Ag8POyI(8|S&y7o-5YCsUvnkIa!EIgU&x>s1PnPHX0#Iw`H6-BG#N>EAo zs3x9>NG8kI89_kVfusYM1l&vbz=G7^2ZA`D)9|M;N;7`_b`q%!P3wZR5Q$-toT1@6 za|?de3MZ5ip}$t-%EE<8dEL3;zF^FCIO-6-j1TG^iiBxAx_5^)zfr2eu{Z&JM^!zN z%+ru`6Km+xgZZ4kzK)%rAnt%Y7GW890$kO-#dUlr!N4V)Cj6O}U>Kq5FOFA4$dz^~ z_{|+kVw^o79N*C$Vljtn5?KK0Yd)DDocPHC$t0=;7y&9_Z+?jAOOlo{Qw2J$JZqlh zBqGbr7D`?k2`qjL1cTkd6tSat%Dpxjri5P(}Ets0sr=$e*+CL$P6HgA#A{-G*uRHV5H5dm}@u_cIcN9$>qrau{(*D<@ zTpBsP5**{ySOj}xZ-fkso6I`db>>|j&;Iz)9D9GP!;>|TnGVNZ4rp-`piQB)#K7qh zmlo=^&58wrjJ5^5J{69 zq`}h4BoG(wyvq7Lh`?!B24fk?qT0(*Nmc=E$y|VIxN6c;L9>I1hyyE~+phP_yH@jONL0el(MEFPK07Pn)5W<8`{}FM8RDW;?Sj)XCZR*rvjz1i`KX^rsatU z8m!T790Ce#o_!)}cDRQ?$~^KbdmASb(wMR0CAxS*ZR9#?v<98rBC!!vd zNTuI7v1FG$!2^1nB=ns+h4@)lbOB{PwZrOYZh# zGIq|qQ=EHQbPN4;r?4&~rJ%XoD%S82+2*NQIqJ9iyJlzX~vOW5H>`1OP~BK78+SY^@e(!W(@8SIl@3HKwZbkZxTo@0M|^Lje- z779*KsIsZiVyoo#JexcAF#~7t>9H$&hg5m}(sg0;mkxI%DwLUuBF^UNLcM#1dZNm6 zP$g?u+Jc~661ij5v;5`k9Xj5;XZ?8U*)d1FdP6kK^(>HvIkqlI z*D1bRH+L$D`gA_U)xdZB2MdYHBK^mflbcLgRVmVc{`AuL0a=5RJ)Ex)fV*42b0uc% zegUpcR=K@<18thf(sX-#dA9L)5bY$s${9ktx=9sWY%Tv3*93#>#FkgHK9RIj&Tr?|=Qhrk%zzEGRmj;Ha$_snEd=j`Q^JUk@wr$L7V*b!y zz;``VUGal8R@maAU3;vB=S%tb>Y&Td2UvO}p*uAl=srqx^|G|Q1@G+-WYVsRipHXJ zQ|IDWe_Oge2o%aZn}7Lm6?5l>ZA&$nNDD>m6zQcvW1n??$g_dh3jLAC*nE7g{)VTv ztva;s+JHLr$3L6{ZjAv$J9eMcU@35pXBQPY7MPs~db69w9!^=EEKCR;9(KF5YD`?Q zf?pJ&Z$jv1-pb*-4~ElFE^@LGc`j*^nj>yBuBq75gU7Pl3;xfJOEcrEx8ILK) zb2sXTj1RtSfnZr2l@uugUC96-C7$~4MofI$B6WVI$%KR^M?j1KW>Vq!^`+IB3ALPND)tUVXDhsDjSqg@ByzeWM?kG@>Rb^<0 zY0{&hwWmTr>!^(#Ry~zYm4OEyUnc)Np#M&%QOpdlZG^cv1DuY*(<0GrM$VcRzGFpx zVbXMtk-|aa0yS-XqtARotCWTXPYoFY^r+3!b?)T;Yv5xys>XyphS=SrLKP)ufZcDp z+eW#!BaA0Q^sc!u$L(6aFGqFE?J!V`?g#TQoX!VCBO`RW;f9W$rk*9&LU_^VG~*+2 z9s+LnV zE>NsNx!!a*TcmPaei*vrbrkSl|3aafA^NOWjLCg-W>fBrMhb0m`XT{pJ%6I*wCoPr z^QxOXTlfUvL-!;=XcM<+1Qw!%encQra%_)@rG|?6<;QraPVmoM(5jNwMN^z?rVZdS zVk>ZifX1fZA81#&o6!UFuVb`r zDr^&k|033AEg-T2<{Sncbh2^jpZ!7t;sD4*T~B)`oca%xMTesr4Andp>&Ci=VwaS) zB%yL?Zv%`G1M1ET{Qj5kp)~(+ygcEpisp#Ov5^_5ecqi+09?}OdTpOIleewNw}sqX z1sz}ywRrkyrgP2>yf&IT`=M;C{E{mf{Ow2v4t}w#C5gcKnKN8Zs(HLcPPhroe%KGi zK5fATe$n;eCo5S~LZRNmF;O+V@}4%6nNTfodVYZu)b&}Bi}Tkjf#-oQ-PK`Hs&gqh zU?VT9hW;lpwXT=uD4&UuL?i3@ibY*lDxnU;opespcF$v_lG`5RRBwutx1~tp@4P~L z{R){e{sGN9ON?XcZ(8=~0oGu%X~E2{Mf1~%nO!QnOg+7lHDmj%#v|kVJE|=7@7kqm zk}5*~HmzK&#hua~@qBXok+LZ}8#s?=I%0I-Y0GyCaQk+LOCi8bJ6G z0K+)c1DH|MzRt6Npgc0N%hAkUsUuNPUjID*XB>|(nEK{YN{AqBLN7)B_9x?C{}W61r1bmj&@U*<(IWRFtq6RTN`<_$F-)M0 z==5}GKmUC&w=W0Mu**ziu^($XwQAZT7i?PP_Z}7by zYcKQ;o$#Z&ig($mHe)17(vX>p6rtlS-@`}@$g~br&<^->I3>Q@_i`q)h4KPzw0kWs-Ld?_kVlwe3S`;5nfAO4 zU>*f+0f5Mc&xeJ`vs%EHbj<~nT=2izBf95H!bnxJGEz%gRQry^KqQtYvbu4A#ywuv z&qI4%_ks7Gfg;fFtJipszm#7h?J;$6QY*}xvbncC5so+pcnn;=G|Y=nv;>}tS$6<` z^UWn@EC+5sG*}NqzMf9U;wqGwSY=2nq7CAbBVxjNpJea;;&n63A)XdSxK&n7n&U-& zVQm!H`z`n2GeE%~aGi4B+aEbvr)Fdj@5^tNk0@x31AqqPt5Dt5!pn}>*J&gM@97mC z1P3OKHa#qQ8~)Zn%eGYO;-Zk}@72+Gm2QiQDeBXHj5x{QK;7(( zF_sKbs7?|_SfpqngeN=zS*@%x-OzX6k+3rppAt%_R5YgAcAVg7ZO?l%bdxxKoTQu5 zI7u8?Mcz@>_v9W6(AK%h=FOFz3NtVFVz{`s*y@T+g=JF8R=7c z7TBRJ$6Yi+ShAqDo(|a=TL+T}g!eMi_l6Gk;{aZ`(hhlvRX)eQty`7uUU3_VHmQ(i z$K}$@)6kWf$&OAv**EMYKh}UAo%yQDivr^So&hzs!0>?|4t}`!0dE1ox+VaiOv2FO z_YM{f{78&tut>0REPoR#Zgc!g_`85Uha1-tess@}YPdjtb%C(!ZhY_|!l7jY&p1Zx z-QfOq!yIM~Q=gOVu0x@0z}(uvV|6wTxVK~cnSgEF#doMJ!`E(b2e%0#V?6UH+d_$m zLHg|@H^K@wcBFr}_~C<|JYeo{{D=}mInz@=U*MaCN+5H<9Og`p&g|sgSUV;{=gj;x zHvYF?szY2p-oYzbQdB5%3PclFT{Zx2Fh#@$n5N9`oLc&`=eXPPj~(edV(NJw@;cv? z*LiPV_hDxD8#5!eKSC62TWxVZwQWzdyq?Un6WTd{dVw#{8>xzAD*wwB@$OV4;LO3d zWp;!2W$qv54ZkTb*!|v>*L|2dlIwsT=Tp52wP0Uc^2@9pxQ34GB(cR+jTKY!0_;(J zmDlkiga73W$!!MMl3UzX;u0E*-y)}mW-xabJ6vRT6Z3=TK7E~t=z)mXMl>8_FwC=# zT@%}jj5bg3LqWSWdqr?Cv0ht&s%ep)n)L?mK5$u7D`-Boh{6oc8^9j%lHvgH#Dd0H z&A=H~(Rs4)xIVo{3w?}>=6ZiFaFEOp8I&S0yDjATv{hNY2F*COjezo~&>H|@AXP+@ zzzV?%PYUTvvu*NJf@4e#-w)(1hXta7F14&n`-ar-vTxK569Iso>IIx@QmM$gD5_Iq z<|#*9q`-}QEh|cvaP=|%Ed&J}X`=->C5;S(<^aOaiZ`~$vVeaaYEpqMSzM%d9!FsD z2zc#ODfkIfR}?S%qAssw%ahUFyja5Aj_#1E1F=8QH>l>%L;3l?`TRRRvN$8CJ(6|Y zb!nHTnx#1+d*A_aD5{>Lh7hIze0B3Ior_|zIt{>>B!zEZBc7bBp_F5PHxc#|H-J0| zS#Hc1#)D(ylC>Mvuad~s=RR4JA?oo3cNevW3a6gq`f)per*$gp5+@hbCpGoTx#3NY zlJSN{dyhxWt;)gt1f6;u96_W8M-)*C=85_1{}ix*FP+&`i4u>N=i~WEg=h{k5FGSl&oo4~51+ zKY6B^^GdaMtjE&3I1gsI2=56zaBap2#nVfY=^Hg}9y zz+bS^? zEmNZaLAR`Njz7<3xFRTJP(ZUF#AGHDks z&CDJ#ibsSL*YIIMmgXfjd?|(612}o1_(uRUsDhM)9y#RxfrHoKNe}DzxoMwCiD*78Ga8{tV=LV}Hm~5(q>0kB z;%Xxx3+FO@eNC;J!H{Q3sjcTzb2SyP95tC<9lf}HV?-jCR2FZ$V322uIKq zB`F8EH-x>-6M(vr%d_A&bOj{B0K7Gg1mE(7%}Nk#gM}zQcIWY>`Y=&_NSgydnA*H5 znUHx3Vt;OMe=uM}u1l&397+KCDD(n|q3_d{gYHN;iWkU(!r=33l8yIUfcTPzAn819 zitV(vnr9O>EWj5%yJ_{ z+g1>Yd}(&oXn>$E*3WgW2vr<~sd{-*OI!cN=Sjxj`-P&JVBM3pQQCwi^%D^BGxhTY z804gw(C9jyw*VLaNnyWejm33Ai9#D{9I*;?EPyUC@<7azxe0Hi5%2e>frbywpVeNk zlR0r{0Q(>>wp(6?+Wmk<_b2m|9gCW#Fz|#(HfIS~R|^B`_0YP~f_hB>N!!wHaNw2U znrg)ksae&reFLx!HIB)U{(L=LNrfGbxaTd9E@3@4w5fARWgf5+9m*pXn`;W_%0ppw zWF;YtpXDYoZ~h=5a%toFgn;1u^WXog-=<3CaXmSNfD-kW^cG&yY#2_mNMN>f9nDEx z=p4?e`9UswP7STn1J;t?nAyqn7GLn+xRT$&U++xs(nv`|#09e!2iOUmlth4|gu}di zas&A1)+eJP!%FHwx`Lcoazegb6<2suyyk5<%2Va}vu*y9zdRYI0zPLtzdS)G05U28 z{Fek}bNQ2i)5+jqR-M}xzE|6fSb+K?SyTtUVCV*TEFVvXIDf6AL@KR|KU7AarKo1W z$Afaq9|7d3O90y9=Cb}&r2Hx8|5M5McXXEjhH?_3!D!?9=>X%4Va4 z^}&+p`D~ij?`kL4U+h0f_Rmo7fDpu!PQt!5@glq<6iOR}ITB$y69(wNF1=z(p2~jI z*t8E>`fFfM*8nBOa-0LRsBRz%uPgRo0bVVv^XkG3l;N!f=I{m^*#3a%WK|hlwt&V4 zRNk?tqI6aHf{?@q*gu)TAO7>aU9r~KdZ_eBTd0YxueA_EAq4zad-2_0?ok0s_+ZS z`Kn;b4_}`xWBL}Pil~d!tirWdMr#CjK_Zv}poP3nBDQ6BXwJNRi=%K~zFfyjoQf0c z;0Al>Q+~%%m#QcBPQCMr$2zSfP>;-Uu&TH?)V>dEfKASA4$rM$me70s%DSxq{3fwAHi-gF;CL{h1Vsw&brz zfilfGKv#l$l^1wcGPF>drFn6>viG#8>u3-V41r5Qb=bo|okoWMbaw?D!`Z!T3(U`! zkI!)K*yMb{1W~@4_e#b#J6c{Xv$ zhQ}f@upqW7!4EKS2>J`p3$k{5Q*nj@(|PLXceIsl$7Gs$@@|^+csrYUxun${4rbH1 zk}H2crV$Ufd!pzQ_#sxUyjvqjfLoSgka?UpODVJE>5Q{eTJ&Lo$VI>?q(VH!3%epd zkTa`I4rn2+i>rcY)Uu+hqTc&bfC`k*lj7H=+t#I zargel^#B79Jz3|0wX8H(QTsMlC(?7%fee+NG*;g=7P0vunLYrUSO5|P3{v3Oo_32U zQx&#DL;BR8;0QU)}k{F#> z#kiI69a(GKg#ekoc!uE+Gb%yo-$PyS??~K!E#dPFN6)DrDdvcKelUMGGe)t9ZG=~Q+riT+aJ zEa4+*;~fYD;nJ(}oXXHj+rn4ayWkUQWfwAh5f z9FoOn3==QBHx1(?h?WvH%!!L54QiC{PYVRCS|o@ndgM4iy=FOH5UlETvw}KUTO)6U zTjDWT44_naOXMoKfwOMqxNc6^E_zKw)Xj&G&$AWc*r|P48Er^b@O!5UkG~hqOk<%6v zPDv=53N1r4UBK7h99SJDR)1+MFF+c4RZo^g>UsE=@E4qxoq%ml>x0^r1?hh@WgT{F z;D~ugr;?C1TpfBUke&?j(EbCno;ER@1LB?JW`YzMwVhDWbm zolS$-04Bf0l{4**wcTp2tP5GA)fLBbM+wNou7JOAi|v@x*{p+jLf&6-%7wewc>OfN zQ{Up-L*JZ2Xz`Rb@QAlR3um1)VV93%ho54(Fc?;2mD_d_RWz{w-C&(PRF7RyI{(>t=)l!4lU%=5jY`9cl?9%_H85IQjW5xAw+e@gLI33 zoJ77s?Z8MI;`E3gw8NHvNFw=?Qsw2|h)B&Z%Flm>s+Yy*Ka-zQS@k{o0n9$6Hs(gO z#Z?pPL9cknKRB`aQu@k>GBmyyp`_69PZ26#_k7?&;>hmG$VNb3e1J^#TVA$)h~BS? z;%u~k^xb!~3uTRlTI{hEF>)K3A?=RA+Eegw@{OX7vFmhT1z%nXRF*+itvNhwI9s#X zCU-}+CA5$WU|kSinjgw10iVYKX4jK#J+c8Y0Uk%#^suk@4LfMV@s!syL&yUs#8oK@ zZl2juIT_;g^tDK5#WhdN2{m-MFb0o|@~$B3_#`g(pMP7!4$nUSHkD8Zm;h{TK9NLN z*Z!ihGxu38ULULcXfCgBXrZ`r`9fTDED_ClpiydW4+HKeN}AVfW0T5INNfZt1iZjM z@r5j)G3O=EAvkpDecBzMBBJ=$ZEvq!|={hc4#Wmv0b3Bh?X2DleU(`~M485hxQ(X|~F5vGM zrRxh#e+l@ouEW^=c@-|q?7FQ|<~_zcAyfQX^u6wSKJ`PnY8Wu+!Bmg=tI&hcb2M8} zUQ{h}cY*ZjUG?coa1y26xquG@Ga{eaQ9}=V{=I1aNP6_Oou6I-axE@J>X-$JY71Ao zS!;t;>w~97t0yiNMO+o~Y0@*mge%(f=f7x=r&P{3%~J-B*FwJtcRm29 z&AJcx3fI*|pGicILmBSyR8FX-X~*Rr(i(?Ms^KRP4<5|yiW%Gu$8q4PfxmpkJl-N* z+WW@as7G0ds9Y?Q_0u+C|Uqk)?kvvZyC_-bu1#<0r*vKMKv*PWt&oq=O| zE19F!>InL$!!WJWu~G=DSI|Ev!_~D{Qf|ycmu=v9Za|Ng-OMy}fMYe2Gaabiw=d(3 zgX*~99sAH-)oE_db9Xt(WMOe- z@|;dh&V+B{1=e)iG+h==cRAB}d^qk={{n(Hz6hM|)2z`UeZ^eOc zaafh@MOeLJ_PrxhuVkusUU9IAA?&LyQaHMhvEG~q#o$R=M>ll(bi)A2Ga~!X@O(X3 ze$3HUi0YyS2XOie;5e71j0~ldIgz(vG$kbSr(}FRi>RAne;7sj{)YN54&bGn*kjr= z0Oi!Js!AHfF#@e3AlwG-l$7s;vHq%bUXaj=PJ@l#b~3A_;v^jF>3HyL4^eg)x>G%A zgFDdntCNwuC}wsq&m{vuC)=kqa&S+j(zzZrC1K}iFNpjx9S}-LA4&5uA?;)#H3Gvn z45$A2*S>!@pbI}KekN+5_ zVjpR0HeJfW?yOo(qJ75wgWc5BrPUYN0iJ(Q8fQVP-@C>+O9HBV)&d>f|n+>f;AJm^S9c~7V`M^`QvX-&G-97$p<2<`V( z$KY1%q&&`W)o04%C~ z#cC-yONZU-;BE`xfeUdI&6JH@5@H)RPb|Kf>oS zb^^{D8XehTXD0Aq?_SB{vcXDuddx$>tH;UPDP2w(V!L}FlRYCPrKjMm65c}ja3%y3 z7tK_Y*2m`5^knE#Heq`%;Ja|_<`P_m_l!+85(!aa{QH0O-FIg)Ob5~@Uoak9t5ASa zb1!wUT&HG1YeRE7(=xCvIj|Z`V|7>Hjz8ZGe20|g)Td^5rG}hD%oaNR`E1R ztN_5SG<*v1z#F_aHzvGl`n?ryyiv{a5SYA3Thxau_8`a)jKjSss3a21A){Jt(1A>Ox^xH zt_EO!TjMA6)Cp@p?l0|00uA9T&k^l_I!?(|6`MBAumm?PS>&RtBwPX2b%Nc$?7xy> zrQx)-eM3yNv4=nl;&VA$zHI)oo`cIC3mFJ3R#ki)b(1hor zr#2QD4jX81!nUpJZS$*~x(-J-@arL2ssr5(&NB-ZL%LdjN;=Ygs^t<|dm>zl(lXZN~si12Db zRbLN9K%f@zBg5?_jRe^p)eGp-vzhJ@zi%nOA?^XsS+!(*Q8kbUfHVtcz-PB8?!7~7 zTpMo_@POjMV8=J(7l$DAy*iaGR0ae@QMbz!2xsqe-9A#$O37P+4ICi;0>koNOicBhHSFqM0SHJ6uzF+3NzFm1a)2KL6E*?W@ zq&@b2B#`;*0pF8?QSeN6s9W7-3HI$wr$Gh!#q9A!!$I)0{<+y0?c*+1LC0BDpCrq; zrDc%11R)R^jb2}t!+4zi!8nIjxjWj!+T!ku-=0Vd3Uq(CdR{rfZ5_0fZd$-hy(2&l z7DRhCqe59omU8~1?^WO@)k9p4YFs$b{_%m-b9Mi${Fd17*CI6(QGSBNkpczU5*I** zp34rF_$rWAd0`)PGDzQ>#noA&cW3c*miXOSe4QnEcb0&&$femkvxGW}^X@E>&f>m1 zORTea@6M9wEdKjnrLFUP#p{>%|5tyDv=)udtWXhac*wO3BLEsyv#=yO!~Bq)p7iO@ zhvS}9^pcc!A*dexOU0{=kQ!&S zpABH3RWm4y66PfU%2}UQlz&-s1wpC-E+lcfgYphfAF#60WJ3&nU8W0ENei&-hvKT> z!DqnwiUAYye8AH7KusVEqLxaAq%bmw{EudHtWr47SyQEix){Kl6BM|(htqSCNcJlA zD{Xq03ebSmWUAsWZBMFjm_6ORe_;*Lj&F8UDZs6DcRP~=$AU|?XYVW}J9Y(Eog}l# zI`!(Z#+R~#Vu7obI;CNBGIKMacx)uU*oxXYsnObA@m zY1WNU@6fI;c#ew7D{9FI-jDBngvCc4JM6XP!z$iyf1s|r0p8o}x+Bi(NcrT*((a() zIZvd1(*8EUYrZ4>m@7ORQe!=~)j%VPnj2Xyz>#4f{ycz%%d;XddVfN2&W%KcsM!{$ zGXt@YV}Qf`T1a#Ot_gm){D<^Z?i(BxTZsb)mHi<-$p!n^t1a!qT~VdDJ8!D1I-fyw zJDHRNJ2s%Z;oy!vly=@77vfs!GeUsDj*3Bs6&`G+FqIUj*f_+_)%C=N@a2#)6M#lX z)$9f62V2Ev=tvFKyWP1trtI!AW3JO*lKf&vozT<;>SQaB%VS#rR9{!@QD3UJqe4yY zbtUi~5afJB@K+;a$+G}hqT(-#H^#giY2@hXwd-9sQwAJM}`y z?mJ!)Xp&YZ#(Bmtieqlc3%$nWVz+KOHI|xwDpvCy(_7ztcJ#8Eg5Ogl>p$t)?KF7q z_v-XLEtpv|z+9j{RnkduB7wz`PayPy>RN{skrDguT`Sa`ap3r5A5*n1X?5grMfJ5U z9S($r8a^5I^o=0y36p{voghx-E%$ZESV$CGQF!Nw^V@g4fBGHm;!N&hrMrr@iS5u^ zd&Wl)-_TA4alAqm_vDedDjxjedLA zYA6(Ct_b!X3bqw-^+e#C!kMCN)mnxCMMqAsMO1i~v)QqQ{5gJ55TCCrSZOB-5~0oW zMP#g_UQRHtc@QYJLTd5X$O}Z?J$7rUA2sD2^5TS67d{kJ^1}Q5u6VcY;DOL}PokR6 zOzfl15;Ah!XX@RpP0wJ?u++(=si2v_&}9pWnUeXi!yGvfow4d1Ywqb~Pe!58zG`ug z`YYBg*Sl0v^uecvWQuo-`SxI|1428JPne)HWBJ~P+* zhwZf`v~xl06oq(ii%NR7A6dan;+jj_75c?T1>L?9yykEw@bPOFg2oxEu0s1>Rxk`) zc1h6klF<_p0q@L>9o6HLq-eWOIRI*KZhQMS;LsVPZKSz2u_&KqRilgmrQnPa?Zbv(GQE&;NYy$YUzVx; zjh#fQ7_bfTd0@pyLFMQF0xK(ytFHC3{l2>i1J!=!4pDa_jY*2a>*qhOsI%8aIUnt0 z11%7U6pjHZs%qDeM)X3j=Rr4rbmEO2gTxcT0;EUupMQsI+}GEXZ}{(2FQR;|$zzdL z$V3f-LrT@#0SQ91oH2QT)~Mu>1s+&IG7vmm+Tgw;L}9M z`Q7OMoo1P(fIj#R4^EprIeKGdmMEe;whHQ@7vJu+DMLHKc*z5d7LIJBg$JwDZ)jEM z4^2f@-3LdkpGq%?>%^WPL1S^|2moHFuP6UXYoYZ3r zmWc4Ok!m@R`g?*>%Vy9_5<+`clE#|W%d2t*gPOWM8w4K2mrWaQM&jzCidx18V zel%4o^bYWe`4aG^)Vt+r`A-NrOgv1%E8nDn**!g%^@N0X7P^u#1vN3e|0*68rn91T zf#=eM2PdR;7-;vx8iBGv_w@e}_ck%IY)P8XtE%p<#sxbzh>c6GdX=euFDv}t{Yujd zKy26|B!qn>r z0AI{?OVE*==qsyTcIx92u9rmo*5aD?Xwa#L?1xZ;q9jhNu?Ys)oXaPHi^OQg+Mcd=9%LmUGcKphOA=hm%^Bw*P7yx55HPC$ zdulLnlX!92g*mB3u!yav0&AKqj9QBz)>Y8O)FTT-heB@RzICK{3qMTqfoL1~zEmT8`(dE`NjS9FxafV8~FTqqZNlwa4hOIz=K@ZMvA6UWX9#}!>TK_YY zRO;Ls7Bu)`sjAvv3ih>rD)vJ%Vu?s1?mPq zB@KNHvwkfe(t(HIN{@NA1t%zWo$7EbhU}D(^n7MkO0-#jgsqF`a{e>b8BuC{`>ty5 z=VUa8I0?7|fz(m|0vaE;m`jX;1eSQFzWLJhKK6n{T{1|;o1o{-fI6B}S4(FEG|9Wc zitUC;9BayQlJZAV{!QH+e2Eg4I$Nfn>1QL1OtyLw2}UB*T%@g_cZlh9nB~;Jh{eflPRv=F zi<_ANOJe5g($F;4kMOgIX2*&Ell*hHrI-Ms3{9lT9JgRqZHm(LUU|hlkMZG)c;0;+ zy+vv7I|zYxQ=GE=oH6W)2$mUCQHU{uas0I{sid~mQ$|FK$>{nPHpqm2($i<~)NS(T zPVUnRs%voo>AE{HSd%`V@tkjgPY{IEeV3J)U3Lc?&r157Gl9)PjJk!>qNOeV-gTJ` zHEj#B9}6~f?l3Ut&IG)vY3)Dw9`0Z;p}>fDr*(brVC-5OBH4is;`)XyA3ZS(OU@5a z`JS#Kb@frTdn|oM*l1xYTolmoHJwTdNHcu=CMx^`Qv=5yk-{T|#7`GVKm_vWA$9w& zh+s~iplIPGR-k`+{^9{UI$`n=_aSk8KeZx;O}UOAgbzNG8i&kK61x;VQ}O>>I3bjN zPZAe1I0*XxB6Tf+rWC*Q)MfS(*JD1B@F57iD76>{;5|@vSojeU#a*8+`9#qPAZ&So ze85~9i6;q6!Usvg`~Y<*jd-7mJ1oUn|AFBN5tEC!!9(bVv1dt^7G_HEqXgv9Gw_y3 zs$zc;`PRP-sYpH0PmI_ja5n+!MN=Le4~)tq$pjL8x<8Q{gccnGF@BJH*VT@2icY<}c=E$gV}LZFyuiUy&udt213~Xt zsZwFZC>6O3C1*q+5n!FICfK$TdA}2S@_CPXoBd;~U-atUa*1m!24N~uS-BQ4EorWoCb$IX zC>v>+$EqpMM>fYuX2p8s@VQ=Wprp_Ji`L5N!Er2zCxrb?z|eU>{6YbJ;xe6bIl69; z63!fY<7Pv+t)DK@OR~}sUXNqzVu?$~o2HWVbl`SQCl(8wD=E0tehPMJOyGi5ka>B{ zUuL|IKp`Jig3FP0nV+dVuX7uxDUS`ZYP4(1M5LJqc^nj3xmj z!J0_^CY`e72_}da(E*(YLAG2G{S@pmHLK#Idb%28rBdg`QBE#Q-((?r98k)p7>H%o z$?BP#S1gai>4mA&9ICwle$!QlZAosnva~!7C*u=K$Z5PovJLGvC@~vPkK^fKU&{;L z35OZoI$IGLsA1sC)Kf@GdZtv*IY)#!BPjc0!z?r_?4$|Qo=8^OjL(7fu~MY$Ia`)c zgD^QOXH;J)$a@Z>u$CPMi<&KCCzr$tT-~7QN%2VcM!n`!AurY0`u&qX_)Q{R#Bnj~ zLn+FNav2m9jKL(HqB-C+AU3(&(jQQwDmAMdfg=g*PHyOCviN|r=2?ru2V7+<7$fn55L# ztaAc@&s}^wLEL4tTg^=F_>TVpI>tN-Wk^!0v^QV_B1#6iXO}(RPAEFk{{RuN;Ebxz zSy2?y2-f3u2hyR9Lw2q++DF#;7t)tN8gFrfdNNSo=M39nq)ahMRVW^qbJ9{-V3#D4 zkx;m6BhLCx_+fF`jI4loXh#HmCbP%TX6u_B$v#pDA(}MUc5e-e_}U7&GnWQcg+m63 z=sj|RR`kL1FUU#e^Jt`3$tdh;O5GKj7yX4fJHNHDvpBLfQFVDa5OSi<)pYRVg(p+E zxHZT<^@W33si3<-bj^xS&LOjL8yH4SPDrq&4^W(MjBhwJQBd~8*}~JLn#`oE)nPE) z4_MnwR7zb$9x$M++?>8XHL3VGQwGWS#9VAYqXQYC5i}g`it9c@sUe$hy93pZw)!Mh zdhc*d#O+6hB)CP~ABbn?42Q=VEBpP0JnpE+#cXlk+<}Xc>G@HAi|w*JJ%i&?>PUP%*9r4z zVE59|ideo9ofluU^)LN!YVFg!V(OGa>$5)V>hE>FK$X8KY{_dlNW3# z{pxDq5{!>V4Q39?C5_9LnN}6L0aC#hGA&~wAwd#t0OH{5FDN0e^O|pj>_S}=oLJt+ z?m|NNtwwViQ}0N42b7h86ZK;mdGNxwc!+L%NG@h=2KNpP4%@RtKr%7U(0qa;MlLf* z@VPWYZ#>7yzzVDM0;XyEfn3|7|j!lMM$KU}ffA3R>Pr~bQxJwwxNbkmGu%9G! zZkJmeI>OL;G&p#naeu3v{~N>4zSA4IM=tiDm-*6W2#sTCbMD(9omS6~ z^j6Crh*F|#Y=SMnU<~5RBIs>a)FvalbeJiY11bgTI+IM+-Ndpt8k^o+cK+3}Tiob( zdYb{C5i?>ZNhb_=y@68VW4rOprKh(CCvOeAzqlIq;Px(KRB6K$RS-3MCOkJ% z7p9cT>Bz+3gELx^qj!#)PxSuwqL2M3m0LNb);mJ4xyDW)O?&UJ`Shyu(T$TRyxo4h zP|v883ia52a5({H02XgC5nM9id7r)ULT3Jnl!?h%N5xkMp_J}_E89=c+1UZ(CO0@r zZZyxcw_W$go%*infg<5e>zu}8=9bx3lIyaf5>1T}ccVj3E5=w?r@W>qz*@u)L1@sR z>HR_I^>WF80q97p+@M8B8q$R%XWSl9DWy^C^D3px%gaiFk%TFQ$VfdFSMf)wa>z>o zRVNST zyBI&$up7~!2f`&ivz+!BE8{Hr%+(cUU8@6@acHlxLl%5at6C5Yx-~Jx`@SxgIB5i0dBG;`cs_HCo#Mx3Nhr!QGr=fyKfSLa%X7q{M*+E|Ro$TwDPlW{^YK}v z%0s2{e70%D3*2G;NjABpX4&o>3_6;o)ewSL@BFBa+3K;BZJ8q!Cu9K8=uoV+iH5J) z5E9M=xMjjG>=HZY#%u_aDMC2LgRrecgy$1a4)w3IyCxTO(Iu^|f=BOA2!M{XwQ-u* zdGW}kKTm>>f40kFlgpT6@Hqw!Q*~Sa5k{B@w-9Nng9IfiI62XD@`4Ff1-wFG`;Rz+ z9BO*5==?2`~;$o2Wc=|(BFn{2 zuaG)f*H-de>15?5Lq`sI#mjK|=Y}cG-YuR^|9mpVlf?x)W0_CX4kX#t=hj|bR*%1^ z`toLV?{llKFROcBP(AT(*7hac!5IfZnbRjzAArT%w*RQzx(Ts{`A}E}cI&v3x5<$c z!DOh`1=Z+h8@K=V+04%;OFwpNvs8Zg{ogijO)R)I?gY0c5!jlW0Pg}Sh;I#6s_&10 zhp}Xya4Gm)!PdBJBYqq4Ft{Q+!qyBKLMEU!lT;p4*qZ2y%z#?sDHf0GhnJ`|Ae4mH zIY!(oS_3+yF9?TeGzUIR$!Fxw;UPUQyr6Q0eKYCH2(Zr_9*Zdqqwihu^Q}P3txY;f zaX4rGg%czZ0_G?p*&QLt?E48QnQcJH_h>6gUP=4-nK0%%D; z^yBb>E;)+@E~Z^o^2M^u4xK50X5t4P?Kt97`GQwEv7I0?x7kzP_C0XpMdA~*1!^oV zx~HnJ{_gLa+j#E(W%8OZ3XGAqv|HH?@4WWuM!?i>Ou)T_S!R|v!WYv89GjMon(7iG zu1$PgrZJBQc8t;1w1lf=#mRo2b#l#YA2teigEGfvak2a}A_R5f`5g)rB&9O*IG>p{ms`CVog3+mjq! zzn%(>MJa9ZQSz1Gt`h{MoxST0r(Mm*Kt@`v8RI5n5hMgL6uaD*(KYGGuXe?XIh0J$ zxgD@1R^l7XLWsh>E2EF)H830Y8=QJ|`UaJqV|Es9``x_dj_~CRrU~_tuykmn)Guy*}h?YF_f*TN3K3_vRuC zBabd3CT3}BHhF6y_){($C>RBbk6SGA69{T1?#r8+0eXT17=pzAb3~tQjhggzgEiez zo&RT?`o5PA;a|QpWQ6eFJ`X;*%)*3mi=kS~f|2HU$n^1BRZ&ilf>i8Ui{OJP9WH4mfzes)LBp#c#s2zRG^nX(_{^yWE zPZds@zB6Ce&))^*&*C{6ToAvUZC7vOajJh^V%{xct~;d`3rq?9eAZQ09N+IR^W>z- z?U9_U{R%DyWI70DD1IKrV*22wK= zVBB${eS31xqNX&+bd?$V!1-c;OPQ~TgCrB;&zFin_`5E6IPLT4Ost3k$0Wo@)ANhj zoH^m*w%tqI`dFWj@@5JG9Y4CO++16UJ*1zISM*OVj#xLRqR_rgH!y2fleys97N8W3 zUn4N%wtChV<-Uh+QW^&8GngAsrgwOYCKS!QRb_EF6)V2wH;lTI^uLo4{B2NEI-j8C z&Qf?u4&nBgO}cujnKW*8)x1qCkt0|TG<2g8;8<>NF_ANkJNMkNc;h?^hQ4_NmT=FC zv?^5i@odA-8G@ucA@kjzP;FfnTRT7JlYYtPlWw_JRA$WVikGh1XEwCU({y5A=s5Lf>f^Ax4Oq^qdR|s%bu>~d z%8Wz|rP&X?xz2dKp|?eLoNQ^&(GP}>Nlc{^Bxw*@@egjEQi2$AXXlLD?=e0l*)@X< z##6v^s!Y?j^-G9)xqUiNW!0_1)90$*4XcK0Dn4sPNi=y?(Tk*)CMlgQ7$j9YR+iLm z+y{IttE6(j@`D>jk94ReBNgF9F-;D;ckwo-rL7UDJUuR}#kcH1V;4O&&cv7Xyx?jU zCzV7d;ydZQlJDL+t1cQ_;1DqNhJ_s8TEJtyK=7Wq!7nSieTd|`qQA&&_QXI#T&b&C zo_lE|nasJTBk6kA)spweGS>En)iUgi(AaTk=vj6v;ttFk6*Jm`8?vEQU{=|EhgnbU z!vEqA<~STz@EaE}8_r`@9GRWl;B{C;p{#9<$F}+6rH!wdOjA%w2ROc-$^@Tp!bRfEhgk zWB@JT3%%0lahojTi_tKH#zl{&6F!|D*Hfqg-#IWuhLEENzDh~V&bg;T&-(1RZzotP z{lw6jVC+^uI3;CGaMW{tYqD*L+(8S+i!R0^!Kk0D9-mS}%dLOmvjb;L2#bVMN{T^A zPIo9is#`Ww1MZm9=8lt!oTIj5xt{>7)A^fy3LAsX}-FF ztF*AJ&ntQ8-Cjh?Y`dZ?D?%Ui=~Qym=KYd?Y#AZL!xm!?G0Em~SE8!I6O^z=51Y~) z`qF}vZ*80%Wj=F@KQJZ%k}#o2%Y+F!k10Mh}9uhe8tqESYf^yCwXPS zpl=x*)#Wu-$2{#02PlgBrqz%k7`z(FcFU9fuv$rk6DMuoY}HkS&L+=mRxzYJCB?{D zqLm0D;9Fx;tn?b^R+x-2&Omn>?c^|hL@S}V$Ng;XoHe?^GPo0=u)i_D*fH)Tf=Q!4 zn~s^lnv0d!u38EHXi=OS6=cUQ$~qjQl^g=5RP>aU;LMvn{J7tXN=(DFxFeX3NhlJ5 zvIz>c*)X3K7~#5$f}87(L9jy*6BX7B{2VLn?dfn7tEqo+_LRi*#VU%umODWw{`--rYbRv{V>=%t{_xr5Q z^Fzjcd1OLeQ`5gy6IzD-6FZxxh*F5z6H`eryqaH2eeYI%&(#0hzq=roAe^MSods`5 zzM&*gmtyhb-~lPI`E=x0BB+~Nfm?)#x}|H`Rd z+F#si-}mpGH4Y8RRf6u#AycpRtYr3fhHcQN`#Hm6r~P-p-B<*vNs)x+cHo}*S~Bk4P}^fdE1>k^1MW$V#q-Ln21$Z}Sz`ra9Mg>hz0x58I^a`*WC9$t~ zH{b%Y&DUrd?>z-lW~Q_X%LT@`4@S?6>>YlDOm#JvUFi z{qm0!&ohn3R_IR}Po@}5-2L7pq~x>a{xg?f?7Dsb6Dtgy$xFusRf|I)kuUCBdw|1y zdj;MYhMU`f2|$I9)Cwo3py$nl`4V>$+cG`%-kAOy9Naz$6uDTEBrU9Paugc7#yAqw z@E#RM51EF`CD#YRH}=(0j1f2#WlN~|Y*kcpG`@#Z<|Uq)Bj2^c$tmfD^N=UuERNnh zrxx=OOE1`eV}*FBnHk@+!pRBg#bd}zEZ!x_o2w&zYi_0t5N&=sEZ9SvGSAz7yF^ja zbK+aoKVy8fMGaB-I-;e|)5bw^IZHwnoObF!A|hq8WU8DbkdPVXE-O}z{ee=WqK=+% zYm={nSz_#6B@k%3eq=hU=jn5TF@*NiY?IGU!ZYcD;w$!E|{-=W_W2gz;N5P`Lw^=aNE zK8FsjPM>U(*&iltio2`Gz9szmCtr@VJhfP(+^1=I&QCi< znVwELb_{bQGQ1GWT}*C+)T6Y$&!FwUOPirF(79;@%->o+<384x4|;a|nq4aMZSyxZJ!TpLB(YlqMxVA2eX0ckWc`BEcQz;8o(Yj@h-jJ) z+IkO6$ElbQzHU5?Ay%Mo=_2wB51*QmtH#FTSYALsvpxL3ws*Y%zrC@sE*l-6Fw)O! z(@n!53EpW_7X8;Zm;7(1aYzMkHh%MD{OvRg#o@-B=B8O(pAsI!^jBJSWEJUe0V z!1Mx6#P}aKutbq)X?mU1LYoT9-PiJhhlu$s!UsmlE?PTL!$pg%tgz8tpDSyufAH9 z-O>cc;;`%FCmQTd@*z#?x<2(Q`9?pnHY+}}GwwIDPvuMg-M>dT8_DIWnWS{zSaf9P zNM(c1nIp*G3#NA3+fA`OWOh|nhpJok-+B0Mv$r1w1uh>x_VwdKnXO-cj@!S?n=*UC zcdqlTG)$(Nl6ep9vcOJ5)!|Fe`u3muvIi^m6kqf<)Jk2w&)MZ zXy~c2cTDWozs?vR8AVdto| z#$&BUG!eq+VNyTw3dWO;2#Z)d(j~_;{6|U%n~_>557eDAdtJ)b)W)fpOHJ>?P>zFv zq2O|#5{ng8a9w0Cb4oe-k$+s_lIV_`;z+d>l3>?R=WonYoRVN1b(s~XyuEnSX?B$m z5K`mANKI$TVtkTO^yx^4C*uWJO|kp-RZAi#qDAFQ%dAa@nwqyNvkjwS8GUej3Qx4? zf9N4z?Or78=O$1(ngJ9GdNwsRHky6R_B4m-)EI6gbW+N!D2MfrJqqU?(u~0Hhs(D= zQ#n5s=Dh4jz|(3Q`sLBopA{cp|MWJD*mff%o(#59->^_1hS>3JZ|d{DBwXVAU0D`O zLXqKsl{YpCVW%Bm1BiOo)K$olG(6aY{8=<_?7w`)P%M91)7NCEd_`>ddhy=tk{KRJ zhm-U09NztumS-MdHW{B6^_}N(bR++R0{QU?YEu@gwqGy{CBX}GZ|{rx(0tZhhY8mX zowWpf(md-ZhPTr)k!yqbS`**$v&dm79wc!$7kbegs-C1mZ#e{+&CBJSw|#Nw>dcS` zQs~gtvRY>SR_?vfE{12EBy%chb#Oq5@3`&vfXObPi-#DtS@Stv@uS;kgFC+cGqtYd zm#q%@%ctkw$K(lw1|JAl`<{}b(-YB@NUV0w+w3KKmt20rLi+g8ym=OflVlzmpZh1| z8b0OU+-l0xLRaL8?oq3%5sh)uXPY;#?9%^7ejG z0wET3nF(a}h9(|w@BH{!?dPzT}_qebjr4%*R57q!&m^r71j^6ysSBy zl}KqbPeDeO4QG zIRIF%+2npw_n{$iw@jXCOe*n6+f~n#BQ}&81kk4WUelYuySRG?Fk3T%xw>unD6-7A zDoRhB1|l;Rn0Z>}=c{S8;T4Znxz;T=x(v{OQy=mpB=1(Gludc&)|Aiy#?arYt@ojN zP<1T@S?r{2K8T7sVKAh%M;MW+t#~6U#woT6LmWqP%s0?B-6PRh+c(6Yfk;gb-Nm%N z0hN)F;3yy7qCso3@lJ^b`B6M+BxT^Lmc;SZ?G?>*2lV`ujioxq$ zgJaN`1x4VMm`shrln zC9Ct4LlPM9UZ$8O1X*-Kp3Y&cRGIA0>5)z@ipI)7x=>c1nUnYu>SbPqS=;64b1i5% z`0jwiR1kZw>J9yjBS#*8V*TP6)TLuLI@`3;Xg?7??zoV)>ymIgIud7!A>x zT-91US4T+eHqIqD%K-V3N|tZQHKjQ|1x9=v^r1DuJBkG|G_>?R4Eh0`Rww+=2Pp~q ztg#_`4B3INvn5kc(;Rid{6pnx2+9aE^7A-x^|)-y?TLTgLwI+55R zGt}9*PA)2lQ)!$q{iZEaGAPq;h%ptD2}v1=#e*?6+e(}=dF2g*Il=Ks(_qLt>?$YB zw%5{Ixv7U5*FBJWsiw`ca9z=Z0{0?Kzw~#`j=YkVIFy%iPfIkuSRK;d~dC$WI&Ip7o@c>}$igWhbPs!qO}4~F4tB%XR|6|`{=D{R_iIS`Ap(>EzqO#0@;`ggwn)mMu3#k4Wod;;Bg&e?%QCquF z!9&1fjY)e^JT#3&3sXGS;u;;Cu{3yf6H|JjrEzme=`hgJP%{~|n;l+%LBBFd8ie8S zutg)|(-|sZC-O}d@?ShvkkoNVupg*I+@ILhrXs_bX(~vyUYo7>=y*{&GNnUz&e#@Z zv*YW3f#M!>1QGg?urX$k0#iIT#69-nke$g4%ejG;$2~0N{lJiyaquixDnQxmp!Kj0 zvknE}yp7bI ze?6Ub>tDkHJP?FXV3+fjS)#B-kKL(yW^__K{2GnFG6+zA-7>+eIK|Iu=g&0!=d0bZ zDy!}J*Z9CX)zu1zDs<^6Sp-C*L4nf>5}BWW=^t^huvVweZcaHil`H|@w-37)%2@ot zTzc{|GCvdj+VkY6ReDfmRy&GH$E$x_FWE0K1>SyX6~`46%A9eE2m9_&EbpOb9hOj@ z@eki3__$ON)k^-J{pLwY`Pb6tJuurH_eVYx3M^j!kwd~q8#m+|Q$?e%rdgIx&7_DJ z%QNS9UH%Siww3w%Sf1~#1(#EIWa?sGB2Xc6bU{M+`aiL#%PemRC+!Pf-r)oltCM6< zSY<(Y?-Vo(pK48K=0=J5!itR%f2GO2b=*Jye}}87tX49{cq@l zvFiBm9&*ar!oIe@`#F}r{Nx@uHx0@jp@(GrcW3^!jvrrt?i@4ycg2rif6jk%T*3MY zi2VX$vtxcdpP#V|UjO{LqUyrW^9n_NZZqoOl$9t2a(jYeKsJ*+xBO+rUrPLfpLr=C z44ulr>NJsyT_7!59N1s5~ZY*Oh}IYHQG(oxjWw5=q1aU zAKRSJsSfj%>p#%Qa-seYafLZ2^yIsr@39`iF?25W?)4Y+5!0&)+I09MKU&A{{U&gj0)#n86zM}~--Yy+>}3F7FeACr z9=qd8a}g7aal~!G#X8>T!9$=~CVFw$CnTgt#L3lmUa7y)hZ2J-IlysFU?gW%FLjjk zff+BNaE?Y9JtX#B5KJK?XH+H{Yb3ptCXH|y>nAbTy5jub_`WFA%xbA>wYVeTuGE2T z<%!WE^6-(52`mKjs)$h#1Z!;&m^bBq(&k& z5{EE!t6wIH~rAl9qRZ@qLcrD$TFhWGyYH3if3qj4&+!fkH$V&daQd!mc zs3Xpsf{tc$bX%gGGvX`j*j@?QZNgYOFR#5h(LeX1 zi9n~npB_`?zy5tA&tknO*gaa3h(}4rS@RYd;qbY4`N>nZ%8skEQ|GcO*Y@%}dfWn&BRYMp-zf-5Kx zg^(1)Ub{Hu`|4LeE4!Yg7haM)|LU*HL-t}nbv1Wna!GWVgSUMP4zYpS?pHsn#nu3# z7#Apt#g@_87nw&T>-2vD3>)*Vri!$F|esAqCbGUL( zxl=X7RA#~aP}F0Wy%`u#;t*8uS3hI$ME$G3UJ>MG_Pu4sLfFJQwa>Ut|KeAFeSDkZ z>n{&j75fZRMC*yWxS+VrkFS4G=Jk?p`@i~Gflf7D%NO50rg9*A!3d*l(ev!Q%$Cqk zE@&>hy3wJW6&r{J7sN1$Ph zQ!X^)_`1)UJ9L%N+K}mtL5lX=FziPynNUau3L1IY=#2UDE?6B6f#{yuCKA_?pz;}k z^ooEOkjEJhWx%2HYTb0Y*cMln#dTvgVUYJ-FYptspDd>J-J6a3&PxxaFyvTty^uDe z@QTE^WErY|W5R0*k6w55U}Jy{>e3D9|EF?O)&(Vc!n&)^kF%*~b~De7nLa60YwnCd zd`%$g_qy1{=e50Q?O@n0T3Z3amyrAR%m+yneO-HQ5{4;_HJ21*`NpKMEV~?YcJ47g zd0ch}-=LsiRZPka^`aWi4KD}>8na!FMKJal7y>zLH{n4MBjU3OfLYvKXmwj4K4kff&abnkoP3Y5y><*0G>xgk?nYvpua zIi6OI#Q{KbePivImdDEJblWmt^|Z1a^pS&ghizlu#eLg;aY9}5l1wseqLGZjFx^5?CpwPqBgWPf zv?wrCd}{;UpK7{^3y^mcMzL5{qqlRE=kBPSu?T3tbm zC~#)fRd-J#Ge({8<+0_@)kV~9GAt*0rMnE>wE}0?9p$m`4!_(p550WDoS3VZe6_2@ zfqGBsEgfJ}7H|Xvjqs?_D!noSP{o--RQ{Zv2*#b=zT2*A@awpmDcwpKBhH&?wL9{2 z)^j~8C8L{yd7@}py30HHmM-K1YTxa7u3|Xx3%V#S;EFo-OrL7|4nOb7m_tu^<5{^v z`3*f4S(-p5#Ks%=%Inz|lUN1&4k!8K%W%%z=&VmZL4F}cr64na;A8xld>j*K3xmwT z!f*FVSHDrH^JR@11wDzD_3UfS4Sn}`I?g^mRRThAho7_0o0CwsYG8}l07?AC<*zc;Rw!sk5HNHLD1SO+e zdv>5VG?Wg4=-#4!Ea>wsG3;xm1coNZgv1#%NA09(ib#}g&7KfzrnwlO_gW3Ehr4O> z&8A@1@s0Ll=+A-20=*=mYCJN%3>4(5rBS_j;xc%|4Skd3A%_l7(6Xv;u;@z7<W-gG^N^U{%7Dl%%rQeo0e=w3E9UCW(t z$mt5WWX=TfK&Qtyk^ZuENvP;s&0KX+P|Qjk_-)oft!yvW#>h5b1#6kC=d6DDRNL{b zorr0nqwOZI(Z}ODf4Nv4M=IUB%znXT!ez)O)%GLWL}^JF_f$YZDCqddYg(u80W6*VVWcGB4L z@myo}ku_SWTFgJq!#L$N-ppk7V~Wgurspj#^#GSQMFo#Z-yH_D;eT`&t*dgwClGpP zLw3jic*h6$Jw=fO|BE1lSQw150BJfy4)O~AKXp?14L@QhVR)Uj<^1Ek$0!x@JzMid z97$LfQa_|FC${8h*k{e29|%`zFPNk#42q~h*hdjOqyhal0EhgS`Bto|Ys;!zzZixR z(+iRdRCoegDab&F!72)cSRmhdG8`hJFel!zs_K2$Q7#(3z*qg>yu1IBv5I|Ys08P2 zC91;srHJOnP%p{b3GHE95erSMMQig1!9sJwllCbXoy~HOVd#z-q~?f1WXwjvy6-@{ zf#`%wgYP)47GNl$$Noi>IinOpB}#nvkFs*BE3qi~ZY;DGGHlGZEF}Y$%ptm&wp^V_ z%xL2Hi4%s9G7GV@HWQBMU``(kCtNsmBncsF5}NwEf5hkxwuecaHcQ=zZ3hq*F{K3B zJ?2lp`g^DVy1)8+YY0U}RG((ecV$0v+po+u=O0o19S^^5j=- zHVqRFA5992MS^v5JT;}`Hf@jVNpX50mX)@6)7G1Zm8+>_P?*_L5A!le1|L}82{lC5I)_})r@-sqmmZ*|`{|Hn; z3I&en;)jZAM+E$gKArp`IDn@t9$y1(wC>F1L+HF>c0aW z{nN#aQcu}1xO~s}fx0U|-%yf_B<3SO9Zku*bIY8C1L@%-VGRdk zRaR?p400yF3XJWTDPi(W$QII(rO9wl*pa_OK_p&S5L))T_RKdNNJ`tP=2%H)EQs!* z-~_u?wd|gn9kfX145n}SoCEnxlVEy7<1f1kQ&Tzp&yj)t6MrEIZmpp?P^{0ny{>AE z*vN(Ejts04(#fG}i>FUbiW^$n>d;6Enw`U^@^VsC|8`v>X+f!m6qrGses5K72+(Qk znL->7>;LKx9JM0ny+uJ@5c*AFiT9#`eB>yJfTI8QK#&&!{vQ^>2LkB#pq_d@HOK0? zDFhBWXHc*F(|Hcy1kvdfQ56j3m2{xO%_N*YDShijS^H0Dzrf%Ai6w{4(g6_WXV$k_ZX zP2%gmUEF35D{D2AWPPgSRs-j&1hx0%hbKva#%ri!n*WH_FkdN*>WXTU+tn!VDgk64pGS z`8Ih*6}GGSfNRPp=LMfURm?hlo6=+n@A77!i&Qcl>Xa_@$2svxatUkv85dK%o{^kP z-`hOnRHGU2VocmrNvmmC0(it7>O>gx%klo~J?FZ{5ISwjH;K=j=lcZOq8R!=zY`C*Pz;|bc+(HPO4 z=!54!gaq!ie_}6rCNehgROKbt>Y6vb!pBr60up36fMs7YZ_NiUcpx~9Rwc$k&4`aP zw61-Tvq`$`_kRwyXssA8`igQv$|1_r=UDJ&k^nG!S3TvIPIRaoJuE_Jv%=Z4%OG^s zxcpu+%JMtrO#=sy1UGYvI{PV#hu%Z%viLW@_tjVHK2!C03*m-pG!M;B2)Iy)23r?v zYn?IjOR|!i*pzSWL${SRy<^fBDv9og!2b}$4*{ec-@?7Q5pyVE4R}GkS?`bR#RJ0u z6H6`;1{6cs%a|gWHwx3TQY)2`@q-tLn7TvfUPy%q6lPmyvb8ud@RB`{v_G}p} zNUQ7YsbIKGSGI%?nCy1uL(LiG4^14@wT5RAC+e|~h+oR_5HRa?(QlnuQP<+BFMAy4 zNmED?kc=WEt|YOYQ-g&HmeYhVK#)ME7(9K(3FtSE7mg)uOe{lf0xMsy3wobEG0c8a zv^jNzM%qC8fee!~nPb~A3gd!rKBGVYURFHiF@7rsUE2albGm|??lZ{z7q>a3&c3*tT8~vD9{6o`f&x!7`ZKqzDV(SuBO2j&>@#~uYubKKz}j20 zw3v*bYmMi|b63CI9P?QP4ZS>`ZHzTNYj3RJS$WT@@%^!}8A_%zTV3{GRv~13(Gv}# zBFS7W%UR(-d)#DY)i3ec_lc!fWJQ?shCn^@fu0uj7S=!egU|4i=4qavapW?zP~)y| zc<-unaWpvC#(^VvGJ&8SIz%}tH;z7{K$IPPW?`NAfKn z-DK|Di@nZgGdD){K#&D+a~9$@4C zd7KQ>HTs?>u_I{(LuR+i_+G;NoW*f}bH2h0wy`A{zGJn5EmAVnWeMfJx#hGyj+;() z!jsW;LeH1#l0}*h9vHUM)pC*fMvr^mgBuhGt~7)}UR0kleuIHue*a7F&m)uMXq;#- zpsmW{kbR`d66$IEAxIyH>jg=PU&~#)tPlJew+&(Jcr9_hl)z0wQZmI^t>Lm+&8%1; zR90=*T$FS_xQmAfM?X&=oc%Z|`T9O-^n-xfrPdPN%WZRFqQlim&b6LcL}H@d#un2r zDDUqS!}Tq|9}rneiSFpxlcp!-h)jVdUm$2=vWtlX7>45=oS67s$|!SEJ_-fqqQ;4s zb?9o&Y$edJw@1eMN-=M|a%um;IWU0ATo3YsQiv%WT9V%m*QR8vL+O)g8sbd0S`}+L zj`C_K4jKY~ITOA+Tv8gk-*k0LAEdscQU5*GY@I(1LHWqy{_U#A>; zEEeI{5O^dRiR8R&`Dzl&4ue|WRfJVle$(Z~5PKpI1InO{)Npgj6m}g-9 z`pacAHUMKloWCpNq@1sCWQi0^0{?AR4GRke>!Rb(!o;F$LPtU)YE*Nt1D4fF4UGAe zKR&Psas|OLUHWy3r(>Q*>Cq8jXSqvZXnUH0C|H1cv zWN9S*gp5R{M-Jb2h7UZUOKgPxlSS{Uvlu>#h48E`cV16E@mUJX0@8Qr{mA+OMGeSH z6@%&Oypd&%o_g3{=mQU;UlVUScw- zT^0C4KgRDBJ|RF`HvYkAcIyQik+#44d2U+of5XoS2V;FpQW4PMnEzJx-A+xB1|4qM{lpgC^PdaT7>Xn^V2C1D7Q=6ObrtD1rnzO^=1;3ZZ<*$G8 z_p|jiG=B$OsRL8D0@_=@(-?CrHEjB!=O4>1ngCpzKafXy5~@T0^@ zpx@)#j`?u(kYGu-;-KP&L4czxj30=>5qb&K1rG#Hwd9IXd?veSre=M8%cNx3HC82IiL^K5 zCdCnbJ;lmv%VFA(sqM1bQzeq;#j?r|8>T-ij?fZ1<_&2X!MM|mO^5l=cduC zkz=N>zJc`07<^-cy3xSCZ&2RoEP}7A`Fdg+GRA(sK{E}w_;+xtYPfL-opCf_kR9}2KHUVNBaSN&Let6 z;@&$LOUWsSYqwSS2iK?4flJF|Y)M1c8gSb@0g*`j`w{YPL1>C7hLqO}C3AAgHMvV@ zijXAyc!H?m1`kj`@6vb*OmU0UfUcDa8}0-lgUq7iNkpjE{Kzd-^pw17N+UZXti=p~ zFMMz#hP*_I(*a@XdYlHxx=;oxn1E#jQaxBGrX_DzMcat3$^5H-_|;bg)z0}Ad+A&^ z@p3Q))MHX`4~W<){xXwqc?};WVV*PoYRj^*@91E3KmA;(Tk0fqO) zK1uu!n9PYMZ!L>06P-<%l5D^#Gd^NFWoQCICUMd<1$i$|k~LHNU9R>y^)10`XC|ZD_YF}oA3=)=_{dvmM3S3CDwrod8CEL8uO^jPxG@F}c1};hPT{aM2#f`72ZZd@` z{AN`B_z*g__0C^7nxJ8fyK0!V*&YxBMN@Fier;n=w?yfrs!zStm;=8VzL2rNURk|A z0=s6p8aBeR+iWs1TTll*Q*yYMhUr(1E3KcKDPJ5WvjFd?RovUXe;|eQf^&4o6Xbq4 zO_ocsGF}$zIsOF0TZlpf!>bZ2L4wJ?v7x|M_Wgt(>%gZrhLjob#ewJLxkH8Lb0tvl zU)x=q?VLlthi1dFda$67Vd;7GsY6a+#l9x<`##w#Rulca^KI71cs?=5<~^IXM#1Uw z?9GlMHAqhNGUI7@p6&N9SW@C9RrS7>M2%%m#psO;8#!eCO3_yd3B=~$UDj1jhgRM{LyJ}<_iu9zhX|+`+m9K+>Uab75&Y_M5NSH1gNw>NsHON)P8a+ZX1FNGX7;)-zJh_ zLh*jyvh{!ezR7zuxKOSbh>ShZVy=;`Kk?k+c{P}GAVMu7-(qK}5N&ap?4Kx;Zt2gNaZTaE+!c=$ z4<(y<0TG@@gpBTEMm;J&uk&)GmZdxX+#2BH)y37@&Fh?`Ax8Tw^p$NU{) z`^`$?Yb9^WGKVH1Y9KmA6iFv54zIspp66XhayS!@9FbMsyT(|H%P2K zF5#^#ke#k*E@)bHy7iB7@*F63oWW4tL9c%7O5!LIW@V(3LR)X1>=!6eIkQXT+x+14 zKPA=}gSRHYz9cd@a{O_T%5gbJ@<}$0d?z0L?YbiMI)J+ zxeuX5(p{itis!Cj)+uNBMV?q29Osp@rAHpmOb*_O)iuphY)OcPPU>B;gHtrLwS|4gh|IA5CcWVV@v+Sm>XXpCl(bR9N0kj2o^ zIcc~EIF@^y$Td4V{6hJjW3bEemmHnynDMxM{l!U>FW|gsad>nXg(J^%ImpbeiQ|Qp zVKmxqSr8;af9MN?WNzmYA--N!pCL2|YNA;~%dQqJlT-YA-~Zg~Zx?|S0>ZSA*mpXk z$hontaTVk@^F=_$gmGm6XP67mTHvT$%)Rp*i1z-gdquNa1^ft$1ZA|12Cr3}OT5GGJ_ zY16tQ;X4OhR1j>J1jr+R_*Hl9%d|&AIOMDA2j6{*uxEtYY`L7~y_3pPRG#-$>x$J+EV~fru zMwPNxXQpAIh>G))9}~jx<4L{ume`bQW>a~2DQSUcYK|qh&t-{Eeu2$N7a?e;oy3)i zamw>?ToK^KCEThP`|_6`KX~??zewb-AYe(KH^V)2kdJh^u!VakdFt>iz8_6L!-vEI6}fu2$jVIpA2TIe}q#}8u5Fss>&2`uS9M6?ol={+& zKlTvvS64ob`D>8eTjkEff!Sw5F&NRj&j=DO|B68>^m(Y1)yM0?u9%5ju{o(7%uT{* zVKHq{yK}sU2yG<~gfYhNsr*ieq=y*4rw^Vx``vn$G%~nT*#(*gy+C*+qEQmkT9^o| z5PtL1d#g8LGwFgYIqcfXIm-V>iy!en>tFxA0e55CKZwI3Z1yKl)4%me9u+UOrx-=C z>*QUHb(cw~sIfpb{2dkS^;shkaSK2~-HF#Rmn+d3dVD`g*+Ao)2+c-0fzEu|ow4fV zZj*3HsV%-CmN%=NIGaowWbPjN>C?(8xH~8r8fSjZA#13!@K3v(4*>EOC(oC4GgkE2 zM4uR%2jisTzF4nC3Z(o(<2$2zOx;i$ji$(#v&w3vJWw;5)}U2OkoK^yO=;Q%ZHdDz za|q(id>jN#&GOtCwy5h)o4Qp^Pza{OC-GvFN~`)T($Ogs$5yE%?m+C+1n+QOOMFvL zRaHW&J1qI4DG+Pc|MQ1mePyDG%@ZJ&9|Lnb4RpYjE#ZtFbC0494f#LQY zw8d?4ytmvm@zgyNvs`BfoUY{t4Uy=Y;m%mFZIP{rEqPaMY;NzEuedHwffPFfTZBY> z@o?cw#IBM@a@F!3Y|N@$H>yQ4=M0JXglk$jzBoyRK}f4~AY_8iBI6|kFNwyq2VsbF zFz_Ow5`JEfVxAM5A;+ACo#Uin(JAV1_Np1U>`1-)*EB0%q)ngL|iB* z@Di7u3WY{WX^yWz6||fYDaA-w zqaU6hC4@C!=wL;X0G;eSRz?2#!~|%}1AAQEx=V1)d;zV=;tb6s`m#79?Q7y_F7vED z@=>$Z&dxu>vc5T+F}JXfq2*;y8AC3oFQw-xJx_L^(2D{h%_mr}B9cfhA)Qmf^*#~E z=%XWk;?V8~)YA;OJ>%8)WHtDm@M`+T5~|I2kPNsgz~e5K~gpb=aoNca}$dcnQA zND3p%VzVi8J@}x?G&?@EYot%01Oo15k3wLOdcoK!-@L<+7fA(P(7u7~OtgT#6Ha*< zN%@>W?4HQS__)eS(1)Y7b(ep<9%~){nH5DFhrv2-btKz4mw|df5=MMzi&-ZKO{L}BN(iY*~<$JED)fmi_r>7%dR-cn^a))NDL+;lB{x) zwu~VsV(zxqd?p8vo9wBoFT*#`5@%Tw(9>1JxDod@XQtM%_UHP{usVLVuX=Dp$K>JW zg3)xkbj#Xj&6!r2eSU_FX7@md_v9kqGc<4a2IE}XlCmD_58}5z(SB=^jADRSdrOXq zO-1qbf`l>l|HSV5!+VF&m8sLU`H5aSOiHn-&u87i(;BGZHV>A}<+l4bcpDB&UUi~7J4)t_(4iVvdusdACYxg=v zO0RdDDh!2YO*p#F1sBBGWeuVDG2oFR!1BMLCT6lPXrO7^7Fvm^bh3sJb{m@ zqd@<5bN+S3WY%2ZoG|0!L%Hjl^aGqRqHxS=;x6xND)u&gm7wmGeZ5rTYX$ObR?lz4hP5>ZC7SInlEG_GPLMkQI-a~gyz z631|z9+;cEgy?Xyd3#6qdU4F}t4Hj)REP8%J}|HkN4@$r&0D7X)8OzV zm9fnqQmyQ1+k725URJ~kRCl9!k3Bzr2(`-+78mu&m{<1lTwe~{7MEwCQ@;@j>55#O z_9KXWj$T=!sCK7ILgv%aX$wNP`>>Fzxco36iDg_MU}P;qifDe(KX z>@zzmMubQFt#v@S)aPl{5Nl9}!w*^2w+^eUJlz=1TaIT?ucC)Ut3&5z^%Vn3N=b2i zu?EI(zOgkSMdrlbqF)HO=CGYo?g8Dd^Y(|2Cza#q!PPAck%Cc6avtFrKht)9u>?_<*Idxqnt)Z1_{*d*@WjnK3{INC68g}gI`bTqOg5e-`h#@u=tUUBgH17A};0iz3qDV zY|@P9JZcgc6F5C<1d}>zWL8v~NYjVpM|N$OcJqwYDNQUMylD#okAKFF*t?G24Edp2 z@eyyuUU>5crX__|>^=nS0xjx-X3R#tT1p~7)8A&=!etkxC8dS#D8X&{ zdO|QVA~PDsktTk#O+BZ(xEz}63U88+9TSt66aKozdT7c*ypN_s6I?KUtIC^AB+eE? zNfDMA+4&as?zmqRev@pfa+>`p2=%!r5$_19299varh|8^oi&JXFjAr#8BWd-_at&mH}Q%V88kW_Ec<-Y==+x)3&` zaAb4`V+*|_#=laGi0Ks(3hS*xAeNBWP%d^P1&G`(oXX|EoF_%RH;VLx7JaG2IbsDe zET~`@IHMh>Ohp`!+hzJm@%myZJ?W~aVl{H#bj6gfh~w~PG2zWmWg?^`*2bZ;&vY;S zme~=gK(BBg8~!-5A^Y%lIgkt--iSj{<}PR%Do^o8{O9!Km z^VoO!ttPXeKVj{Iv&+St2>j^X*9 zS;_6TIx#!_*3qm6mKS_r60%9oOJgziCr&3ZLG{~R*3#<1NGJyO-4#r-k_)oLUi_rx ztEM{=-7Xir9wAS(`2j?h0EyUpYY;e!O>BwZBw&eh9RzZz5=~NKqROVEN(Bu}q}t7Z z!%07OdI$=#GOER5XLlwZ9|VROb4gH2J3dusX9XGNu)>^_tfv9^Ln)Ui;u*v6ZKz_{ z#`4C~R`!}$;Mn50*Ry>lH9bBOPimIcQx3t7J|0JGF9-xXDd#(p!Lr2w&>822-q;@{ ztn7JLNg0`jzK{T^F)WsNQ8$K&9({|UG{_wI3P9W6Gc%3vPIgt(<*u!jQ9gGL#f3|B zNPZIfVwo|=aCM}izdIb5@+AB~)3k!)x(+=_4^V0|TEXQCQj;djd7R&&V84vMv1y~S z?<(qI&s;m1&iK7_n$GtoOt2vlHIcgpj+gTo7@E+VF$$$wFZP|7{_Rb+%4v~QRrqT< z(j2LFl2$0GkQ9i37(E2Zg=SS@kocNf?=nc)>$5sVu|kYHMM}}_q1y66g(9d1{hbBz zmBkXG*J`n52dNE9-{ub{qHy-uaV(V5L!&Pwhqef5XPhaOmQa)**9jF^fQUbeiR*D$ zmuH<8Zc=d++G-_FF=z=Bg`=hA(&Uy?esApu)RCu!P%xZLOACdu^&xeB?AH@9fOD=k zz79z}-F_^{g;?i;C_nsgOawI_er+-8t%eq3*?d~_n2UK^R@H{yZd6LxHG$S((v%hT zxr5GuE14DrK!WupV~|0n^_*(QMbbEJkkYiQ^iWA}3rwB{3OnK5|iYSwi#J=7tv>naQlq9WnV8&1drS-u!vy zX2MEL9pB-T6)MwjFdUZ^|NO#{!G z#+@s<2-Gga<{`3UU){N`d+$I=5EK`2Ms<=aikF}O)L%h0U}%epppPU#J@jsY0{B-1 zM=XJbgzCpW--hbx zE^}Ixtmns)>D3S8BqS97BrR-T50~blV3f{jN4M3nttbpa=B}LPBb~A-akr1T@|Vcj z1O9xUI`$-G^`ft146bTO$HJ0|e&5();d@Y}`?FzSZx)K5XIr`jpuJeD`Edvy_kJ2m&cqTm@qc-H@#Xqd@4rGtJLtO;M-P%n9NN%c!U^y7poo2>9mLA3H>3+dhiYDi6@Ltb@ zFCNqJR`cFq$c;aH?&HZ4O|FMjf&_zKZ%7komMQ-BbbZ05PiC9`W;H+j^@enMgWo<* z-fHpFlqdJ@Z4%)^*X<{#>)(PdFkmYw3jecYXRZe zu_ymX>6lH&N+3?HI+IMehrG>>AaPYQ8vY5bKmGyV?1)EI5Dafs)T^#&HN)Lc3>3yx zSP*|MhPMkEr2e#JK6>{;o8%Y(H>eSUDWr-}4|GjCqA`0fsjJchuOv1;u}#(zK%P-w z)#lCzhKDn7j)K?x&!M?8>u9l7Z;Cc+4(gAj1}K^XKf66XeCKslIsGqvETJ}Z%4^9z z*#nS_Y10G{R4f6s=Q$KKk0!&KX}oE>^HbgsF5_y@AYfWeS8wR4fd;Ys8%8|OKX_xT zuZn$RYZ#<>3A&zGThAJ5MbnMMfKC4B+b7XBxWp3+dN zp^;EcFFG=XX2VFMk*HF`hAk2s#0~`KJLg{e@t=6_WffKVB0S9RJ@?n{J?GwYzHj(6 zmT_8D3~hrKTCCoqV#j1YYhff(rj?-AxhY!k2{COn*y8{fCoXLI!;N+o z?_AeD2;|3(nhkLDQoTPJ%Ow%_Z=4eD;q?eOclaZEZsM_ZJePJsOEXUY0AT5=7!aVmR77vr_Hr zej$bMd5kB)5jV zWVZ3Z(_Z%U`mM|;1#aR8;1)K`7bM@I`Bz6spWlgp`FZm*k6BOV0@DxlCzjhxLcxLG z(5TZI4x|I%ju(4gWc`<)>9`2lbq+ZWqs%=f-``QM;IMks({S3tv2S|>D5kcg@&Ye& z6W20#V1XyeJSWE`A(}-q^9DNP7VDIXGb6SNc@fhD=JVzSpL3@yJ_+r5`m2gAfopgh55-Ywn z!Ij+t$AsV|*LlLw3q8|FU2|YwocJu?zGIJ`W#8EV055X{IAx|g$s7);5i~p#j4OfV zM4`fkfM7k2v*XY>K(t_IYs@D&WPND^D#IF9)XE0uwBt4UzprT0@lThuj8F&vYm!5g z@~gF@9G|vP`ahBd5?x^(3q+#xNo3=MjU@6KohlR#3af7iK`g_Y3gQ*S5(h%sV)m%L zWFCKdIxT*Z=}kW+H!K_cG0i?USx1$m{8NxZWO3nh7%j&4MPnB^|NQeeZ>HccMhD{; zVbW>dVy0}m3DMUyZJo+WghEYv4^r6=qxL369)a$}w zv_AG6*Y$(z#K(*Lhz7?9?-;envAyQj^Olg?^8DB3U2W%eVYslnqGOX<@rtagBat9n z|20WN_7Bx51ucQG>4w&2<2~WDe6Zdv`R)$hJ=ZF>H_<_ptwe6<^oeu+9v&NP%4%Dl zd4F0`9I9ezOe|YyV^2O%0l@9d@ZZ$kHm|ggx}nFW7c#yr zXD$G|jm#;dXaXYVMHQkCRAHyO`Uu2DP%-do5O&*(3Z%CxaA-8|`tmtnZtJ$JpVSV) zIv3sXFZ~eoNlg1Z>=+Uf)Pl*UKwuzX>xM74bwj2ih6b-=QSlHjclk-9xo~Qxa;R4; zswFM_2oncdB~X7FhLcd`0!C-8FPfQsqGcF8SbnlokoLELr3i0B!JM(FGTU5%w$h}5 z`x|`65cp0y4M^(|C{?L7uAm*nOm}Jx?)nElqVpsgniMQ6umRIg>m|D{0ia&`6v##GWp9F_sw}1ebN`*FcY4n%>n3lGsec;LG0iB3PAvJj|*uDOH1JFg7Ch!%#US$ z5T8a8wxo$Q?JDZUmT{IDU<&jXp=-J;g(x5WQAiZefYzWaEq|Q7K z^T7{HD>D|BQLn{tfkQhbw1TXQwv_R;Ich*I`D)q=YP7xMN|jxsuCn0Saq z>OcOWcA9)G7Pi`Ihf3{0NlKXx%AAJmXPHAS1cM`RMHvSW`X+^64S_71`Kppst%SM~sqRs-#ah3;9Eu7Nb9jO?I z!$oPcw=wn&y~4aUbMDJHTzb$icZ?%o#L%od!sn!F;n8el`f{MdzA&_wtUn|WV4O$H z7t>gdmW8CiDFM{ULB?>zx)3%Ab+>o(HUq(+s>^y)!2ju5+e7vrDNlS*a4z}Q@NDs1 zy|)>7J?Eimb!{VN$+p)`0lj`!xUa=6rC*LRWo>)2gBEiA*EfW83q2L~35meqaioOJ%Os*w9W4;7xNM z7PFc3cl7G_5SQ{wYj9vMI&<)>K*Tbwr6rD#O2nGf&=Fd$7x!VN-Gb}Ia@+4NB@K7n zCXl|#H#qS=aGbSB`O`N#q(oj=2jiz501-Y`J&#c&X}c8 zkx?P!DPK)LOSm>qDWLEcC8@2n_fvI>R&fk00`o!8gi!yk{$M?BX4~cqYI0xJJBN?5 zw2M1nN$T_3T6~8iy#(qR(w%VN0)(P^){+lYW}w}|%x@82RWe0R#nF95PFe*=*i-vy zmwZCRA0p2r*pw&73gqB4d6W)aFQ87qGqhA&6r||ir_@N=RQ9+c!a+2ymgE`3rbGGD zlS32j*!{_2lt=VH*TX-LudHaOS;cx*IQo26pI!-I95byXQ_toVNNN$&1cJN{D*^oW zOPWHzLOnzD2EOQE`j*pHQUF2m^LmW{A&t6Jq+&bE zQ`KQ1UeVN)sNlz5RUe$n9PUitZB%=h&8EHDEO6vWI*DohlFWoc@dP`eNLvq(__#bV zJOv`hxMx><83)&^6Q&}m>>vGl56#q0^fW;?{WJ9wBf%50vCotTg>mq9>g&45NBF-v8WK`tb0o2Y9>7kW4wC&-|n#wVc4*9`|$@o7{ z@`oXWz;o3P5H<%4Yi3<5XDa8aY8B~r1w07!`* zI>_@m#+R18=ebh(*z{8oz7s~eRUri41=&4Lz9Ax%p|3H$YAnnXG0S`^CP<`n1L<#< zdMCLDx(kW5CZw~b*q^NmNe?;dVuD8r~(IV*mjLWNu*q>o@TCH*(TZPDFB`UKMLYh){x#LKCfzTtoCO(L%{r zjNzC&2rR}OWZVc_M@HZd3R^44&0D6-=x{QjFHa|J2xE&u2e|_TvL3e$J7-^G--peT zBM<}D9kyvLVN&}TNV%j%BGe%7#F%fl1*l4=pY_#fG|5P6D0EGPG|~ds(;!{8UenRg zl2oZ4yV%M0Cq3s|eoD$}VIye!RQIq|aZCcEE9dyTs({zb7L?}&rVS)yql6?yTwvzx z)Ox3Kgk=rq4LDIM+UeNYKeEq8V{!{-Izw=C5unDnjmE2B90hReT<=_NT`)@XU5lB; z9a_3+ukEk&&!meH0d?71>{@N6ijUw#dcn!UqlJOqqaN3jXOneS)9K7*?QqgqFSGu^ zXJBl>NdyDO*a#LNqebYnNNL4MsYa$y9c^UQk{9vGv%@Jr7KeQDgkKPA1vI3A7k$IQ zAFx1HUU>GL$;Ih;boQK~8?8K?(5sJ+AH8tG20w~(O_w)rhJZ$5XQVp-wJ+lU#not%%d>UwnmVS##KfdrrjURE)O3 z;0Zx9ehx{WGM}UIGntf)I`A8^AtgjTKZ8A!W`Nw`feYclP};3VN3dx|(mr6bGEj9E z$4OImrE_p*R6?@JVsBHlSb^=Kx$Lf z7EaxF!@ud*8fou~X?KD&lLH-nwiA0mPkPHg!+V=nd8nK$r`_pSG~?832{TwwN>e(Bw}=-Scuy`ZhQlNbO=( zlwNOv?p$}Ci*v{QJy1tzC2Mn>z)svlzp(c!LGG+zF#p76qBxCGr@>mbtwsI9NAnW% z9$i3nuDe*5<1+-NKIy%)8$f9==D$HSIw&36CG2!k`A1wv!8~6T?}3~i4h;wEKjGJ%J5v! z+7MxiXjIk7Ncz#(!$K(5YOpD1OVfqlZK~Sp$a6;`6oGm*j#X+TfgJ=)+U<4^ZbFbh zkx|+zPy#OShV%IpnX5F--a{zadbqcNZ=Hd-znlt@5${jMJ5({*zV##kc~ON8X*~_Mbkzkrj#I>mNHP5Y6{ctJ@X->EJS(YV)Y1(uC@5y ziM>1!cQXv#@WQ01z3yfjKbm>(;iLDA6H>&m8cT~ujk=9Y1;!UZO@nDo=lwBG1`e(_ z-C_Q~$bpo{08NqlHcHB_4xH%j2DGd?4SR#;F^3)rjEa1JqTH){i$R}{w26UGqQRzd zG55X696M*KRk*$7vo>0TOEU8DA~os>t72Uv5X|w$1<0Gd3iHXvP-QsF;A+#1Fo1L< zG5x&>KG+l0zhl@fW(8i$Z7}H{WH&6AISsi4U)jT-u=8lOwfG1W!D2Qpx~T+tV@IH@ z)je5(v@DB@nYf8ZfRP%vP);;>_3I=SxEo14(M9WKtwY7&hs9ef>lLU_Qq)cgZLqn zXL32Tk|=vWO{vY%*vOq+3VFDX=Z$ksi%H2H3Rv*5dn9var0d(929^!T(jlLXhQvrG zeX-qvgc5FHiYzJ8C23mPkNQ34EHuN44WMHN_dXpT8pk}3m>#sV*H{=4gU#Y`IkDrm)GOz8UUH=%G=WkcrvpI-S z+~N-s1f&_*oWG5Der>!6Jt5cq@KL~#W%pZ&o$+U*Lk_Ah=}lO%o5yd{&ojwhY$o;6 z-u2av6w%*C_5|z>t5dzFsVx4zzg1_rw03TDoLYmSlam;DT)7(dN3DA36|@PdRN0` zhcA>RN$}t%>?Bwg_WNE{?|UFaRQz4|5G0fx^bLq@ST#zNn9BwOlgk4VH!0uXKIuRP zrZrZz#zh4Z#ScEJ6T%BAx1WoAbBTw~$+DEH#L1{(TZAxNBua3K6j8ka|BLq1V!1zQ zs3;^z9|BykY9KG%C~Xwqz&P!(=$-|`R}#kPfmGmC_|g}iiEt0gpL>|h={pAeVkb!8 zXzcT13n(YkQGxg1pFWsSW&pWcwa&Xtc2X$?S8ofMY1^CaRO?t zPYIfrZ>WbWwK+Ld6a#*x?|=-LQhs_{3OShT)X&P;KlT#$S@6n^TAMF}`0bi#?z5DDZY7 zMf4CM1#FUKfu&$ks7*n;goCY^Z@?&7$oCKjS_iyfjrE! zCuNs8bTaBcgTGD*XjWj%5@$ySBJD)!`c!}CVXPWa+MlElyg5=0b6k?YUE zG`!4Y0aFT8i@E?L*8o%jXu2?*LuvS-$#el9A>qWNuE$9Vr;8zk-{jDIA#4u`;{OEP zf^sE+HHKEFCReR?+8wu8N$n(B9oT4qofu&>yg~g$)EFslo0=J9+4-c?xDyC%$oy~u zqcJw=vZz3ZvHETrr4tm5z(ilbeGS@E}old(jL?!y77h4jCa; zV@Ap}o55)K-YY%cNeqw2be!}WO+hsL^m<`O86}@~-z=b2bP9#x`8OuSQRAf0I3+%9 zh*KO4FTFAKj&`VHC%iCnQ|n*Z#r2s+G_EGYXTvUx&X z1Dm>W%2*&xfW2c~AiI#%t}k2K?bUPLEY!$^PD}6!tCax^hbT|CC1eWdIob;(E&Gp> zbM)mbeJ;k#4B!{AfiAxWIY+gu<=CM!BOdru0cM&cat`{j{o@(Lkzgh)HNy0q`;G z7Hr%cP5AjXL%PF^#j>36sPP zQxGo%9^*i1F&ot#nS?U*;vh;ghm@|jz{>K{Bn9_su@4}l+$F%Z)l3?w{SCb9Wy z8PvPDC0sdv5T}Vty8`hF~X7;O_y9LHGv<2WN3en=Iu;9OVfLoz%I{WOXk zV5n2YW7msaG9V(~_oCE6^djfX67XS%X%<0I)s-lF7&=+#M?fbhtKqGaqzNs1wE9Is zmV~&KaH)ZwM}34CL+T*f?-m98lK4Kt40`5;NkIAhhlqqk0lF8=H-S&r%(YKJ7ZB|E&r+ z@N?4G!$3OTLrNW)gaJ+&qcjde%+)vxF_KhIhsJ}lW*iIN)ulty6HvfpQf8K5@V(IU zBcCS$&5V>L2-zJzZ;km8r?;eUM6Q&Jv zk(UUtJ8N>}(ww8-Vky+`l$dgmYT;!WO%EDg&@Mzim^Zxy`{hWQ8&bU!KrL{;hb}2T z)C1IsK9FJqFQ&ft*$D{vSOJGW+53Vy(_3mA4HMeRLm$#)cN33Z4(dEA(@PSP6j9A+ z{|sCPpi;DUtiTFMqA5MlN*^++bwE=n&2W7b$2f%!L9gP)a10A+LSyd*`FCsMz*VSo zXoAG_t|cg%Y8!%~H>NQQ;0F_DH1jh!mAD?zsLW&m^_;wXKISL&h0DE$W%Mb)G9%ZJ98-y_}16c~~jEv(f3}VN%fUly5O!9ed zM3cjb(B_DyGf)nrAP%YJ35`!ii@cMPDd=Sm%07hqK|1>dNgY>LX;=PhnxV$X`R?mou`l>LPp4?qqVB5V+n?RN&CiUX!*WkAxd;uU6mvg=)w+B%6mCTGfCz6?Qn7;hpA~lk~pz?|t?v zd)XBhMVM}nLLSz_%MYIV^wP-@h&dLt5Z!!-(+K0B53EUsp6&MwveJN9P4(N>u**|P zYGAAH2l-odbXFyn_JR}|+}i^f@riv#+nqwh&5>cjm2F_GL5PNfd)27jrT}jCe!1s+ zCFF*8z%IA<%UmI1qr&$FQN-|(;Cv%x=F5{D#^-?P9_kR|MqKkAFZ$C8{Mu;$q(avH z=WpIf$jBZ0uK-g(tiRlU{0&9D9xo}F&T_BsC857CM%;KPc<0@lb3XpHJi&tvM|^U` za~yz1?rcD% ?yz@Z=6SB#;=sO^@NIrcUf6@vP<&fXRZu zx^`QDDlIU4b#NAkPB@bu8|fN~95*LBor+KT{XwoMXy^ca+wce<=H0Zyd}HHhLyd9T zwcIi2b#AUjCHbHLX16-Vzh?(=g}a3O3Es(PJ)^6h0`+{`H}-*AePT3yBoj~!ox~c0 zN>G2sb-`im_!w9b9Zmtenmt+>L&%;9(U8x3o0a4bl;VHyQe?0U9oe;F#({XHgY|e& ze}qQzp3KB82=Fg`CYx@WI) zYLCrVZo(hzk$T|if>VohGATF)NZMgrFer*fG}Q$QwX@+40U+_CLd+Pr8sPqGvzPO{ z?Bt#g1>e&uOg0~>ZVA{1b(yIyGjaM(ZHEH0_)2+mv7mcjZb8II6PQa*&q`)e&9Xky zJV6HtU9+vJdV!IQ(+gdXOxGhD10R8h19LQUuZ^)!i!g1KPxPuNxMADV{?E?7yGt*M zCoPSv4^N6G6UMmx8ZQVQbjFVIbYDyhIGbU!emL(2%!a;&ImOsdrUInM`?>;T?0BXE zKJCF|{le_6c{t?cGr2bY@Ft%YeLfcwO>C;ifL{Z+;xUR6&Atfkw(t6iUH*GeY_y~t;2tb`=eiC^ zIuHr;g*~}c|H7W#A5DvZ&qYD(XW@_@L2copnJ04A!tO^_ESqL(+Y;! z$`r3nhc5<@!J%k`k*?~!bu21fv}+W)4Xx!3$OQTY9C5hx0_T&+$1c94ZtiHtQ8j#A z*m&=PP#knbZeN6^#tH{XcAQu6{jEhH;Rc&&bT8!W*c!4Lu7T1L4ElmO(FV(xAQJ1L# zWSw>O?u4nwS5H!wuRT`xm;wm$UDZ#M4r&i2cw9cRAl&D1@68L6zVfb>H0!R9ECsW` ze-}pAn&a`==e+9>5Y55R)A>spJz_j7m}s<|)w_@G&Z8Z)dUgU(sI-b~&%K&g z#T}|bN_35q)V^=j_h~X_rTdN+uWJQ)0;1LyC)Kcj->Pq(Ir@0g+{s(|u|?ulqZj9D zk#fXb)(ALfb$?cvYWDO!E?|L~^=Z9}E92l@bZu}wfmA>By8?zJ#`dgKTJ}D+99;SO zXy27`l~+$YcxC zzCRyp9TbT}_~0Fkd>9q99g%YKTssW3=R4!s{?!$hiZmWJkB`3q05HdbpwHNfGxN6C^mQ{| zkFV{pc~8~`{9E4HeXH=^@M_H~f=_QBfF*EWrWHHb@Q=WPI9+e5pqR^>rr*U^IyZ=^ z)Ji~~5FFYAIskz~pV-T2JYV5Eo!a#$#O$5zwq|~-MGIg}{W@W}p21ZCjux}t7hSnj z{R$n;cdv*8FK)bG3_ojvVCrgjwQOm!{|;Vo)dpp=?;z%XWY|Y;7sK5faXGuZU`U3x zD)M7Xo9^tj_)rsL*=NH~Y@!_WmjH7>pvQ%ZalYXom;k3Qx2oaG8kUf`2M%F|k8R2D z-1Y#PxW4(w?E=-8Nu{cKfzaY>v+F~B5Sdr$c!4u)PP5+e|ZzPk4>*g7MD2x_d}L9ME2`Xy*ou!nDEI99uZ*vS;nsOkb4Z z*f|#EijlNlU86q#YZneTd_u^BdwJ}~C$#i@Tjm|0`U8Ib4#mqaau^VId;xTi3s?X} z%lRB<@)5eY&5J$1HtrZKc*plpjB=2gEFotJW?67EMZG)};b$3O&p3T#3E1>JJ>obe zc>p+uzzuZrn3LmLjk=+JuNTUFeZsLJzft#mqo3*Y38znn^nlSrXQ69JYo}VRdbmO3 z>O~kEe-|mHWv4^gjKO`@;nch!OxbmU!T7Ia2@yIC6N$SU?F-|?6Wvv3Aiai$geH}~ zRFuOU`_9!FQua*X44KRWcgT@&5o3qbcm`PlCj_1#8gtgxMBOa)oCdhF6X$h+UaIVa&tJS$xS74Ot=$#%%y- zc}{R95B?6(BvU*zNy@<)^hO=k*lkG)=QhqGZvxHQX&x8%6?r`lOoS6a$sq56m(Kb* zHq3pd(}E=QGO-AC4&QYSYSrixyvfVPsx}5Qq@`Z6$jd|PvChJv%(Sf?CA4VBlK5#X z_N~d{PqQ#!eZOAw(YqcO&&4a6PO<>mw5S<6QdW+>8^_Vh(je36`~NG(kuaJ+*r9^;#234^uk=Q;y7iKb_{0 zwybH%1b2#lCB48;JvsR>nX+jn4XwUkF3TPa;d*9zK^l2-GNZGB-nr~^+AB}y-7J}F z^)8U1@oCDqa;{{uc#|x0_A>8?1i6wRkz9extOvM>*T7_gRl;|^^?~ffC)Owo*a2>m zh5q&;#Vk9eTlP)E;kIyn{y2GnEwT6SooPy;GifcgfBA+(A-pVP%>2-SAI$6z&k`Ly zpFXE~NE-%v931gZz-iiP3MNoNUx7uO2F_Y;3k8%WfTUxB^Ckc657$~Y{j;r}`%<`K zXof|O(7%j-q}HY6}Q8oG_9Zss;(PV#J7-no98e z$;JOuAxNJkyd$`M@D0U@MbXLi1Iq~$stbaurgE}Ny2;SETutf_CSK-Q@htBZ`aH@U zNiWS?5P7&x9&)pq?O%_f@Po6wDflbXdEP6v_T>y%p4W^kL&m_dq<1sT5FRiU;9aXa zlRTnB&YXjt$ak{@PLWd)sOL?3)cC9offsY|z*GRe>xY6YObO&}yFAxnA^Lt`F2Rox zWiw1hUY*?J<}`BkD3JLzp#h_cWQbx2W@5an;T0wTB%XXZ%!Vw1uV*+DL(}ez6x7h8 zdh@mfaLBa&=O1Vj2wM$2skDzoz0WT#AV<6=20!?07NoAZA;#XMMLh|GpMqaES~UiL zes`8moC0MYlKK}yJ!Mervs^RjV*XE%cAX^kh5kk|hGWKfno%4D2fSY@FiKp}u{d8m z=1a~C^d|tkq(AtAcO?1JF+jkb)k|*HCXy0(x<*4rZxUJ%7-DU$!%e#>0L(H!zQ`7y z_owGnrvZ%CO8{SCasr)d%$ZDEB<9jYROSb%XvG&9XD!nHlV&lbJ_Uwzq(Pi!8R?Ci zR*k=&NJ_!FX)*%%YRu@JH!?8b($p7eA}x$ew(k{M=4;|P_k3y7VL@=|_G34h1(%6i z6*67KE$KHeh+U3y95`rAhRgL&lhFpLA4HSDG9AQ0S*}Nx>1*`Jjk9zTS*Bw*rd8V% zs*;k#1Pd~kHJBTg4cI;@=t~O|?l2JAB8dk!9KSMro=tZdB;AllRIgybBzp-`9n@k-}b7opW!hqOP?^u&Fhxh8vz4* z_VyNmQZ@gw$;{~^UJC58e7w<-9C(j65tnG<6VKbm(9&S&ybQibqbq=^*)hjhY=LyS zZF@Nu;f8ucXJtcYWv_HrL1RN-(DKgO6&%T~b=UyF0%`T4VE2kMVY|NR=>@4^6|%Ao z=P-NHWu|JGZXDnl`(0n}E}B=-94HmS{Apk?8^#9CD@N+rAZypRs%!gmS=2fj*%Q47 z>CDod72IE+UE_k|vbzI&1)kMQTxDoI zDOg%`y>;U}rFHDqJRRb;4`tEv+vA_La#p{@^qG&GeesL~J|l9|Xg&+7aZ97z?a%>Z zulaf`|EJG%+}^q<_Zt2cKxOT{b7<;Szs%(ifWhX|=j?z>s}>b@GQGd4>($}}{sFtK z`ppI!)?-}(7KtW!ePBZS^9ML-hP#O>x*a2Mo~2*p-4Rf%SonZ#ZB@W;29}Yt1_cRx z=QYx_fNcUVtLe6<*%tyGILS)QrSUBqr*1j20T_At*@!Ea|yOQq^*M zQv;W|GA=Nfai`fIh@Qj(PNtXB2#_Dcw@s3t3qIjv*XEsl+B;o;$`J>2<%8t=JHPkl zO}>(7mS!;$|pB3NzS@-RKZVN&I+27^~K!$92 zhrW>g==Ey&hF9N(t+GP!%#*mRS`s@`n-e5{J;mC#~6;8qnD%#fIkRfy*} zF;WAigUe{>A9;F|&!8UcHU(qj4w$?x2imm5(0IBMp2eH}tNlQ_^-zh#VYX&7AW!up z$nt=)(eHR-C_w((&C9P|eg!lYC2S7MZQtSMayB(sahs0EYxOwmjO6wC3C1*_&Oa3^ zo}4^QE8xsG%;h~Bj8CdZFn?XC9%T*eS#_f(>@r3##;(i{>f4{u{QT}~nlbs3<|qRC zXy*KkdnK66PSlD|^k1zF&HsHN+NZx0TEilQ7fAIj2b~LWt!E@=t*7{`IfNoY;Y}4Q{@4XG9Cg3==)t! z0`2F4^p7aIcMQS0uwQ}z_Cl6wN@mCM9uN(Y`u7fE_bMh*^&iMszDolr5e2iNupCA; zIFlnQ$JoyJfo!|G$c4kok#A_xOnMZj_e}SFyLpq&iXOoE*l!*RJw~q z@0T0LOG4i}ld#D_zr5iFpiwCt@VaL}<3`;5A!XjNm2CPZ@W=)|Zxbn7d0Ci!{fIDT z;AFA0X%36Rd;$l1{%B&=AFJCme<{M9c?(43FF@qYA<5AWw0&sjEg2SoZ91e9bzDmdTK_oVze>m5jbpAhma@yeI7AS3(O3W*Ss zx~svR1BmKXLF@OYOYtD3=~p10*pyV+V)schB(S>&(#r?iv?4W_7Fv`@c1Fo6fq5pJ z$5%w~JO2sel^GzFHF+JqLQE@OurB^?pf|22!U|NJDS=butLh2J*|Cf@#P`S zu*%yN{Hr2A@@Pe6q7+6~(XE17+~zca-O$Tu;arqzxdR;^Sul**EH^o;yjcK?xvx;~ z6rsJkma}ifx&1;0mF@!mOmPGkdtU3QR_4W05Sax8BMwpqfvK5{@W{B^kRa}-q>=%- zxH;t7v5#+@aK*W7@?&nRGJnsole)jCxaAHIGNyh>;NehuU#!46yP&N{UuC$?NX+iL zu^*Y{jgPfY&Ma$`WuBFRRb{2|A!V)=hxUlc#}M*C5c@H+2q8kRmca}dcW4jSSKUcL z#z118b384&FpX?H^4B)Af}gTok*C4o>uGa|T} zkQnkwEva{;SwZW`TtQ};NY?!>{mTr;K5if36|?`Mn}dyR<#|6-}*y7+oqEC%*1NxMAuK)}rZ2Q+e!>p=i|g zk&@JDgb(q9504l9#1fL^RlR@txe%|hOY^b@n8B>{Fp*5)GBqD8tQB^rHsCWX&Rfg* z!dO?D~&Wbojt1{wF}Bb?~+- z3xQ(>-FC;Nwlf(?tUCV_~q%?7Mt%KMA9$8SiP!X9TT-kVr!O?fg9@UG_#W&2mkW)J^88DzN>ou3-uL`ds^2Do2g_wjB1?PoU% z4Qy(8NG-osZU8Ereoy8d_@Jr1WKu%Sum&h(Td_1VLmY7ZF3j zAz=6zU3Mp}9mpXV;O1(33-*_FZ}c21Xzl~U&wf1-zNU`SG%&X+gt>^H z2y%J(IqzAw#lZ@}P5Si|8k}KZ*tnT2=UX5Ebze^bG<-64+FgBEUrX}We^*D0=4dPB z!>%}-p5S>8053~JaFz5Gbm!gtcrl6K!k_5FT_*9E93z^8w&{r@DP8tmL=yLP-KfQa z^fVR)pU87j!`a`EX*h56`P?$|?wt*7`5+oA^qF7~yBBpjKSm9?YC(MOTse5e0Uv#{ z)D)o0npbgYZ;-H~^Hlb54jVs2l#^;SN=x`rB1es6Zlu9kW^>dSAz=_r&ncsafF1?s zCyjpK2j^1$>E|C|@A6>7DX}qZ2c8as!i%4uMw=iVv8B8$1%5qc>KMUMOk-)?9$j~l zSlegQBsxBDkl~$W2`Fk(5^QkFx7UkGz(Uh936Pk1VxO_ye~~!7FgC>m-6DjV z`{FzYFjUBF6f{k)61Pa(o>yz62jn81YY-r{IC^8|8Q~jRp7wI5*KA0&)+RY=Hu-D4 zrb|3eCZ}NMBI!juE7o%iV5qi@O>}1~rzcli$sXWkc^rE_uda7G8QH4ra3O)y7VW)g zxHWH0H!`+aZ3Nl1p3j$u9v2-5(hqFoWK^5(?i)70%LNXjFG@kcB%nfO=D8eWf>rj)X+ShRTe`@Ft#-qfzwR~0eOT0djB;yyy$tb9a9I=Ac&ZUu`=?vUeHX4c zU76#^V1AOo{(n~|`ma8F^M)D!s(vrQIge_uiY2fKH(g96w;j_Lv6IMAE`rINj3mX#fY2>h zPD6bcyQ2%BS~xrguESp-7KomCZa`n)NR%vc{vtqK=nFi^=wAevM{#oqnA*gY16v zwU`MP4zyqwIT_`!ljQUcTP369bv1G*9W9Kc**+xv`&l z&>6F0q&#L1HDL&`<)-V>n_ahre#_iyL|cOflMWFCO(^& zgJgdYef531J>92XK*4;vXETu(ogg&k>oNymy?;d`bLJ{@xybk*CWj8Rr9Fb8CRZo>yT94*RQqi2`UUBfx)(X3;r{Aq33|b_4Eqj2+1J{knxZGs>r+Dyn6sH* zbA}b|b~QuV%;w;1fAEJ=ZY|(Ff-iHv2zvP%{HY7tGyyhD9ZiZ^+XJ%9OuR|cy!*=+ zDE&}j>{rYGEefl))=(_+(9r{enR6V66{KF4qp z9o&+p0nyoMiw_#xdbv9jclDhJq+=(d&Ud$(Zz3_qYPof$Lm8fFFaFS2<0?N0<>k*_ ztiMRuOOt~XUt74}TMaONI^|M2rSZ=UjPu`Kh+ zoyNXigRU;yt1Uy3?6FT>YGcJe{e%?}V1?-hwB4zaS&6;Mn1?xyY}t~wTQHgpU`IDQYL_3xb_Bo=7oJ1`}}bywCKZQ&kx7v z+2ncZn&%cDDy(bh+e7)6)p4Uqb^NQ<@g~(t$6_asy}%ou2h-9(In2V zRb$#K!KYNipH?Fot1*3^WkWS8&{qQVP^~YkLFvX?gjZ`Z5t~F~ErLmDVKCNW^4xca z^cLLX*$2#is>{wXRp3+D3P2+|z>vycp8itb^##d`Noetj6Q4H(v$CK~I zsm0&js4Bj*S}YWHzPjwOG?~;VyIP-#+;p5KH>v{Eqp=#)!lB3NmAWiG3C7~X>)kOa zXPgEgvzoj#LorSmPKr;)+510&x8`)v47-etLc7#Sl}u)qlc`+qtrq8Ld9kUSwtV@z zV0_i34e9_v`G+$V@LFi&DmOGxG{qLnNv@_RovPS;Fk3LswvnY=ve-Ye$#Mkf^!2>n zJTH)Mr`fOP@{@V4H6mUZMIOkB6=^s(^7&^CM8IfyJ*{_MM!i~4OKv1SYersEeTo$~ zBQKie^;|9&@sED+=8d`6%-{13zEkYwx4Cy$v=#AB1VOUfoW7N!-FHFzWzq2E6r8G} z2M;7OAvk3dCkYdHUU;~X^b)wnSQ4P;1(6#(Ae24~{P4jIaU$j?_&{5uoBAGowB~nT zLF`5T1E9jgAPgQ7#6X8x`~bfWTItgVu$!oURdBUHm71i%L+XLJEpQ(q*9n8n3m*cm z4#|ig;>?;d345Lg;$p^jiyjj2skwpwki^K4CRzHBy4J`H>jg2D8b?l&L?o8-(USo6 ziBfvtCzfHqP5dx?hyy~YviQ$d_PH1&D5pe5x{JMD1HD$ z4XxcEl`e2cmxB&A3IY#3?SZ)L0q2k|ZDJ2eM3S>G^ig9Pp07wK$znEAFNz+rkg7mk z@ZjQp+Dp?U0nfCA6vl1_GGEFPd7Ofl1TT2-P}?}9o^d^Ek(V0*G;w2Ynd_#>gBJtI zA){V*F^*A6-5yxG{-_uqAa?PE7e{f%d6JmMB@9pll0&^4pssMwi##rumMa=)oS9}3 zSZ^KR2hk)*eCxmX;hQ&yreQGS)>-rgAGfpGRLY;WjLXmX{|m1Ky2KLV?SNgbF% zEVw2P6c0yenC+3#ganZ$3Y;{&l^OvMjIiVcS4v*fYq$;&Cb~`-K`9Z5I5iG*a!sH( zq+W39#VoZ)!*HJZz{w9RH)1#|NddaX$=3_{+6&LV_FX5JIz`ea8F;6Zr|2*GIZwBk zr2{41Wjf!6(_RwK*hQE7QGke9=0jQ}3O2#VG-MbtOeYl6at`YEg!z z;%Y)gk}`vYMZZ!o&Mo0}FztV8!{!h$3KXp#mqo69)E!iNg6zdyww{+=ONbIBWrVT0 zC@XN0g3-39`SF$71Thjsw-fjzf~vznV~G=;*W#c2@MCE0+WaYJUq2wVH$`8Pe&TEJ zKfCJdCxqkDp4O5!10wgXw$;6Ma}|oYW!<#JlCqaI0DV^{B#89gC}n5ogAHSx-W>`d zVY3(a`f81DkEs?-4lTF)2;wAw9xhZtsK>+0N1cRQ;Q=&ZUeXh5s^Ai3PF-99KxbEDzsNEn*RB@ zHvPq5;uh)7Fv429ZsCLpqP(t~b`FWu_m>@?4!3}b_Q1;x)hu8}LtpIrc1e5Rytk;uxNI#kyxeM&O3Pul z_8!b${eCg@ma8cM!5K&6SzY$l(5;IeY=SUt#dG3bUtIII*0OjiIx=mS0BzwxkyfaC zjiJc+cGS-e{j=}*cq2FSg;#J(?GRZ@T}LyoD7oSiuCi7wPi1wWnLJEXzSXyIk07&P zUzbIj-)mw;>dPf{v2eCl%MdTz3lqs%hMFDO$|5|R_19?TLyAe}E zlepnza8@gnX_I;?%qzH1Ep;hXXXtck@Xtxt$ESnPo~_7a<;>H+gR{TQjo%VS2=XLX zAY1Hu+y>*qw?5Igv|HH?888S+gU2jjXn|RrHwZr2*EFN#FAM$Wj6XmH%+jw4UgOk( zw5bhlk#ERdHMrr?(mjW{E{6ZR*3;J6I(z4-q#vb&pC}iP<-d}@-qX*g(pu*X8-j>` z#P~B=#8x?<`uLS^7>;{8P0?IP(@(4gkRC4hE^(X6GkrO3*{52E(6XUSj@(< zM?#MiGM>-^=b~JS$H_eLG@*5o>a&|A{sUTd2EqCY<^Zal80FGBMeEVkA z3uU#?SUNfckzUWLvpUtBzWwP}Y?Oa#f2F9dzy5E2{foc)lVAV6-~7$r{3ka3_*=jJ z`!YOz!z`IwnzkLVLCNrF`*mR->YU6o+Gwh8f7&Q5s;cY8`OV+{t3Ub8AO8C9k-(oq z*dPApkAM9O7KS*|CTEI~l6PepZ?XKuyjC~ZnSU6hU2E) zSNidv{XoO49N^+v!_gXl@i~b(T!qsM`{ijYKcKU(XeC~uFwln=`pmj{WvF`VuL7X7Zl_HUtN~05-@bB$S#Yo z`eFkNTGyrbHgsNoNn3G)`;wwDB0=K2Km$^rUgC%}hn{(BevDWD2Db(3h!PB|X;d z%Qx`OtaUZX?5_$0koMFi*o(;AD;g*EX_?5V!*G96V}5jM1%O4)w8E)3^&j7`RTV8{ zQOeksE_>iEYB;Gl#?YnCVh`B-fGLAJfDOB8MI0dZrJ-_J(t0M<6WE>ND>*3Ln;Ny_tZ>ovFw9C5yJY@Pj{ zkD-E&;kV?JI&@&>q`^_W{p5p+jh_txD z=N-=XiNI&TdpwGg@T_6Rb3X%KN9;|!<6TDHNWh=HE_L|TbwlEVQ|Fg7vg&aK%3S zsgW~qGho3dyD8x-%${Lj4=mn8K@!YO%_Ydue72zJIg5fxZb_EX)AEd8Njnon2Ea@1 z%sU!lT64ONg!c3o0+tYw$sy}`mG@5)du#(Zq%!sM#|;f60;>}go3W;BpW?LGz?+!J z7Sm%F-+wWQM3s6nUieu>FCI+dm#>D>>gongTSB{tT)3YawqaWv`1(d3<9Y;hi~jZt z<}s$PMj~u>+}L8bb@II|_OwuR#X*&;f_MCrE#w^tRRHeYydI%}KAaCK7F~Oh!_h+e zsXco-ew-004fM?)?kENC@Rou29-DD;@yH(Xs@>(LjtE9;flbfhe}}T)Ob517&#-#% zb)K)#UBi}x1kLmkbB zk(0^MBp)*M7qk&#ahJaUzQ}9$N4*M(BN1@82ko(fu5fn3^NhYYs(zQlSR^}^p#wr)J}u*ikDS~oDXk=zj67;Jtte-c%b-W=sC!It@H8(N8m?$d ziSsld(;y|Ixr0av?Y8O72k>HMeR$SqI5b4O9ewi?dt(=5U*y1H;CGQyFsA&Cm(hGp zDi@iawXT&PT^pSFB>(s+4}&Csua-4;@Dp5IbFLf{x8ei~pnG|_L#&0(-d6JgEWxgH zr9vO~=yFcsOr$P_pk;*>zNx`Xp1F3NKs1^Rk31&-HRDQmOmUSecK-n zWr28g#DtM?;ZUZ~~H>Z@IaAUc}VIxbxPKKspqKWv1$sk5u=jpAcE3Ccdw+T7X; zxmH3s0K_GgDYr(`)%~PgqY3^=xje}gI?uJ9sCL<{J}URWI&>B-OdUhkI2s-q+@}sH z!Z3eu=j?+@>mhSpxg2m=sdt@-AG_dA0_9%5Lf(^VOVf+Z9T#<6~|kJv%r-pR+Cxs-?zz< z1=<7Xv<7$TW8XaA&fq=x8TFsVXQ^1N%1*p;0dc~|y|h&>^A*V1kRhN9e&)m$>GkXB zQKcpZ#)(P4$?I-No`Rc;QyxI2~!H};jvX!P80>rq>3FjL7EHDyPzhEEj1JtHU zwX+N%E+yI;7qu8Whp!4&1qUQGvMg`2cTpv3P~Ro|*jV$Kafg<0&By?y!9zx=zq zU4awSYu)dg3<0C};1U-c*cHx=kI-Upwn;-5xr5}`daS{%4Lsokt$a>*Y5;s=l7^8< z>bq9HqSxInnkW3tJ9kq!A+u1f+bu2+6RBtmx|?%J;ZSI5X&4Eb7Q9|w_H5`64y&|= zWR}rgCiBTuAV{_U5!p&$9CqNIPt%!}C`6<3?5NMXAQ(E=_pL*Y!(iNOKVQr}n#!iy ziM7p(>RCpVOcosKSKTvp+Lf2n6_5rd#Ph9wcdBg=JV5IC)Sz8-xkN}Uu9K|KfB5DN zy^6=0^m8)dHwE93&=eshY>xmeV3llo+|tUauy(bwR9gUiS!^QO(@H9=RC}b#8$^QA z{M_~nOP|Y&QKVCE@yprw^fFzh!%g1?Y)G_%3k^qcDYPzY0R2p)ohJbT`(C}Dmsmd) zG;@a}HBE~7(RN4EK(hs+fv=a)L7#$FHgp3t9qc^j>9wTxcJ(o-H+8vswem^o=2MQX_nwzOqW+5+0rLm)8dF+70&2osf(Sr0O+ZwSBrfnvlb_Y zd-YmRAQdT$^N!#L(-cDsuXohHWA6MkaxZs(Ti|XEYJBya4_E6At#a_%1e-fwtBc1a z*q}Yyh=LJR9=e7{n+=muRpZ~0)4_l_!ArsM<-)vQC>H3Gh=i&K_Z7t==_x&7r%Ll@ zb_OYf3vC3UGmQqV)V(|cOCjlF{qrK<6}USZZ^V6P+tcVYCtTQ5v5a0gWleFVaxgLa z9gQX}NiJ8Aff1IpL#>qD&ZCf+jQeU2Bj1%vdpzQ>lze=W4i{N2i}&$p2a=R6S8no@ zHfI`vLQS8^Nxi9^JobHBLidc1&JCkt=+W{yXQvcF7M*@WnjxE#lSjK#vpGEv70^$q zFjyp$CkFN0JmTpflL9&!{YSe<8e0GT=NiCx!VP53U*+b7LF{>*l{20zh(OX*YmZGW zt_32y4R*Vy9Cvv|1)nN0Ur|EB0V%(4C%y=$A0bM>m4v5Dm=^FzONgJE5@>SZii-A+ zlMOwtC98+p#S8~I^JXw)$V(4Tj4j1ur83FMP*R5TQWYvUcgTNc=vgt{utbdzqj0R4r^ zC+^T+5w{?j^w*@y7+)bf%UsNLoWGdK!e<`F$%h@gap5+|)dP=uM-$;VBwwfQg;@B1eZhJ;k1JGdUy`*QB-JVRx)%E&#WYb+o9mVip3WeKEYU{Y&U zs5aj=@cB9`C7hQsPb-CFZ|xlyvZX>=fM{_c-lUKKI;iH6O&iuLPNkW#Lrf>P2kQOSyD6?$OpU8%jPY#O* zROe^a_U5uD30Za=y|uL;%(m~Kw=g`Y9YhoP)byJ6GQ<+WWwSdUVgJ1EXNjfry|?xX z3((45ktGFdoI5|86qA5t;ZbdEnu&WR@|$*nj172`+F*;oQ_5Dot7mLmn&Eg!obk>rUSY0FfNb z()3!M90n*`3eK$gj+QXEJMaczZp0afNYM*IGm4DzW~q1`1@be>d&Xf%Uahp-A#TB7 z5|89|<`ke*{i}%rP?U*ooh693z>E=zbKxKaM~2)=8C1$0!=Sh z&37IQ1Wj7X__dc@G@#7|LLMlr6?GAn_@tWrc~bW&!7F3^ob~2q5-Mh_`$d(EQ<3uKXi^B)TP3C*3b~rl;&9{4Pi+2 zvY=J_G8y;(_T`&~DV;#tl`j-H2sYC`8bOY!p|lB<>dF50KNTh~KbU^a{oWd;VOlNr zIW(IMEh9Ao`{ZZ}mr!P;ihvhr9!ktdO zvbOL}XJ;_sn-bo=P2Smnj68|*n(q&t_C&s!y#-JM8R9j~4koHbyb$d|I5AyrOT%V3 zX6@<&$jI-2nvhrb4%l!PHSlS+b;m*8+kzA;z%K$4B5!TY)aW#-T~ZgUOVxGY;Az!5 z7jZ7U&t4Trrr4%v%8PcTqZB4fdR0jAKos(&L6cQ#*U zw&A0{pd&7e z{3!=R9IRl(RghML_=<2|CJn=uLx{Q~+@nu*|6_P-&>$+Cy;P>(>LULMVokJzJiMj~ zc07aI6flJrH7V%eZ*zb!oi_y=PPCTfJke=20a;+Z-{;5TvEsvxT0TJn&dzrAf!+{W z7vOnQQ12BMY5D@R@8DAFtrI2>*;~iY@Y#1C;jcpQDZMz)>uGs~1TT0<={bK61NzqS@dFoR^f5$Mm%qag7c$%jQUt*fssceaDC;2=lj_m*K5C4u02uo+9_IqWM_FNUa!qSVKP8d661S2IPqP?@E z;wC+$3{y@S`1oUycVogeDL|x)3@HPjQ{s*@b^sDSNm{Ijlqu95BuvMUGE370${7gQ zK0`;!4JU~}YdEIx9chCjH~+>DKLSo3Cp!5Fpz=3i!Y2n4lLH-zqDRa= zS@yt*#{sRaOPaBBCZRbhn;xJr4gifG@?XHrUqH;y&PU|LZ7w0C6^d4{iq@#SyFg6$ zhV!n;kp*z;0dUF?q(QS{V?OVzVD6?zb$2FK# zp79E3S|rqe5KyY70e1ZJ)v8Oa^*Ps-+~R%H7S~|lC2wX9NTvSg0>0T>)jeDIF8Da?gm75jd%Fv7Afc&U# zG!(IX1#bmr3xVaf?_2yM1+xd>R|j`68V;IMU-gU!TrZbBDe-_ZS>on*c_Q-_74Atv z0`tf_d-8l+?@2}5F!U8$i5_4f7>^)uexDt&;bLZLfPI3#*lfrs>^6!tE_&-cYXDO~ ztiMBcx4qB`z*?b;Xx|49Pa4wi^p>QUjDAHnPzPa~4M_rN6{*xPU%RQ$LsKKJN(%>i z1?`9#LQrnVP6MY~E+IoHmQSUS{4MB&Tk7KFZm1}@ZUSJtxVM^|`Si{&siI0PH(iGh z8-)1M|2rqNa2w8ulQc3+c$0UnH;9i&^NVPOk9_}DT|@N4W=a3sKy=5wOQHkoxu}*{ zlQ)P)Kp^I_DGqGKi+H=~LmbCH7t})@ml62@V2*B;l{vZu$G3J(pC1lv#_jT}^69Pi zQYQ{VTKwW0BB?BN?}q+|KBAslE~%^k@4xou4Z?oJDSv|A&yYP5h9RGue1XkN|HaW7 z^p$byw?|GpM~+r3+ExwVU!eJJlyjsd7A{&@V&ByrsE!z$52nJMpWZvHUExG?3$tMU zeSGf-_AV*Ua2|kiPun*R0es&I{Gqsz-b@_A)hN#QCdDxWNRbQS9NETCii!oJty;6c zXQN*JhsWB!%jP8~_oRb2w%i;7XbFG|UdSX=t}Z?pijP6i!^|L5yoXrz%)e}H;GVTM zo`0WSEi(y0q~z%`!=cQSm83^92M~`;J;O)~Ze*H0mg9pHLh;$OT->D})7CTtqz9K9 zSV1&`0^@p^CR9BZip#2tLgTYS&pOx(1{xU-(`anp^B7nOC5BcIkKmD>j3RjBsDm?r z5v1{zB2fgGoLZZa<>5Ga=XoDDumDi^b(WJ;`E)`Qr~BcUyIPI4~;h}Gk$xe5?|P} zX?pLh^0HHATxg?US3=Y!vVv@^OFDR?qdu4lS$x?welV}z<(tOoHbN-v`2qVOqO{lw z-3dVwkQX|{zngdb`ozo5-m+j`9V%~^pY(DP`QUd8bz$T3z>ZVSX}3grHOgETYZgvQ+Q- zLVoRqO75A`gU`~2HpjZd1K0XLKl{XM!|AP|YId|4tCq~H{5jthw1X^Z=JL7D*?kYa zwDbF(i}ZZu(^nuTX!F%5+lSBGqHmZ<>H|`zDR0ROjSn6v4=dX1NZ3VRryoio_ey;fN-kO^~GHdu!xTVEJ-5hP|LIf$3x_{k+P*`{SLmaqF?GpI*M6 zLE*zwWW@TGU=SnmNfnsI?D1ecrC4P9lw(g&_O9NSxvuC0);Kbi)4mrGptFGDfjF2` zzu}Yju~PwDV2g9T77*SKp!z!4A~up1{Yo8hE&qjWJjPheLNyC8mGAp9f1Cl%`_}(T z3j!}Hh|ramAf8%3Fx^GZ^bs#SPV*Wx@$9T}fQzv>!bn z{e^?Amk&|12+A8EEEPw3WTW{^t=mPl-T+`mY5c`Xf;SocC%tJVugfe)0^3_VL1pS>}Ph4`|*g# z%>(?3n!wuvfGR;9Nz!nA&eH2Y3MW{4Db0TME;ur5ti;CfGb} zTe>ZSabEf#NO^t)ohTQOL36KKxdy$Z=R0CmccsvfN0sVFw>6Dd>_Y@CxEIzka_a+U zjrwuagK3cB0K#VA;Us8n=g49nF#)U>*ssnyZ?wy};Up zpobT4&ILAYyEt|LMj6rd!%OKq5`+33?RjXc{2FvnAC48>MZkv~V9o{xf@x;ndNJu7 zI8I5&d}c!u?lMw4YG^s!aD&&~ciQ>I)r@e%s=3oS?eL0LN$$@O>;-#U+x(b)GMQb3 zX6D7TP4LFy(ZvKuqPF{Bj<5Ngb^VDX=|%-Y$?5^2(S1v|E(vR!u`yzrdCj(o->;J%|x{)Nu=o_7UjqDL^_j~p58o(Zf{-$`)M>3)b&QZ^p{ zezUWYt_es&m8|@>Lh$#=P82hd4jhKpHR}g)*cTkL=XwKgRu_Pzq);B&Uj4&5GPO1h zQxZA=rwznqp*@_&ft^#TA4@ry$0&9Xz8LC`aD*gvrvZRCNx}f7l8!yYzd}12v?PxF z$d$$0NXc(9|-3sAnuRsB7h`Z)#XRAZjDUgBpmPww@m>5ZxM04;XuqEMY%APQ{Mq> zQqE)k%sQ0YX&;O3hqA46(#>q=4#|~a;hlFaMjRvm<4Df@2F^eHi4M4-Glyhp?`bTz zv^aFghPV_y1LRW+{gUR9{e1!tIf3{Uf_23JS9}Oi^2Z<}F`T^`LPW#?AQ0um&zZy- z_I!gUKoBOnAkag;!0S*L=L}(9&hN`!_E@BbU<}YH5{VU;Lq;NMHNjmIJ%&l7OC|7f z>+7|YlB|XSLTsp9_!!29T1s6k%XGm7f(!7j&`~NCQn}zUPkmjEn1$P2chTLXDWY;5 zB19bs0@4Ar$H{PR9Y@~7`6av=SK70{;F8jhp=(dO%Pm4F1COjRJaiva<*KV``Vrp& zcX3*40f$PFur4+YM!GvnFu0sxl9RU3(M6H(@O$wSyA-Wj&K7J6WlRfCUk=2S!LyngMMWQy~ zE&Qn-G%O=OS!25wC2hGLfvJx!hBqhOu%as#fU-V zU0lNpS}k(t7CM%RC>>NoEFIkTmyF!n-OE`U6gu7uF|3$AJdhz_?@A3jo%GEYGR6Z3Z~tQ ztD7)I*)gQ*j=Jcv)Ob4<(KW66TdLUS9QD8$H1CuSxHL)9`kRRZQ_`>i5a&e`q&Xt< zGtg10TmJ2D?QW!85qW>@fzcn?ors-Z(vYud5%$QLqF~t4&$XLQ`~+aBI?A7}_zMgT z&BfTki0LGZ&H)LiKXq(z4wA_CkZYL^)lXR-x%=JA!vy>4BxQ$G=x5r)0U%)T)>~C> zP9INY^71&92}wZ&H4;(WPrFlld=O{34(TVIe5U5RX_9eK8iJYB{^;%DJ>PKvrkj#d zep6A ziQs)1-7h%KcAVPvxTW$G(jMk(&F7x_20|{ zwqxsF=;F|Xz6b$d2+YMzInz9Uvs10dE)^VlIXC05(>qfb=!i!uoyL3Fp~|I3S*8MS z&nqVEG6IvrM5N6n1s;&!0OF9pdy7K0pfGom>bGts@E8g)gB4u&krj$|fmKdAN;5B5 zFV~~8V9AV$YZWlnZx~D7r-c+ZE@vel>v^zEFOM|TG}XsVCBz~j_DrgGeW*J`hLZZ; zJ|pTICS=^KJuP!0Snu23-P1NcZk7A=`uh%Uwy%G@Z%-Q->n|{ZH|2Cr}*7gp7`3T zxgYe^k@0{&Y-!y?>ULMJzom!n z7`e=od6A`b^}{zI&YUdMJS7uP#wlg;Tp;lPWH37=@VGt&i>5xiOQ!f0`v~VRl5E+U z^`_HEo{>=HYff^_Nw#nq;q)GKD&FS=@99>j@p^AFwiv$j#)ZVs(pa~jJH(2#pBpeg zJTj-Y|zpPl6b2qsqpY597Z7HfyN zQU}N{+S4J6Q|J_$mtfMH1r(JhCb4}Su7}}fP2f%5W{&<8AJ!e|9TlE1uT~6m#K?h1 zJf{FtaB}M^Qj$)XyTo_$&~TU7K2B%eRNujs^NmG(wRFPeaDB9aqEMRu4}SX1Hx_!n zMke+ID*H4bxgmasCROQ#)@M%#U<1h~0V=a2s(GX2$p(qdry@Y|%5_u$gH9ri$hg@U z2#P3z?);cKlh+fY^{9R#5rIVN994U$CuI)cR!H?k|8q!7r%{Hf-BbxtC3c!|ePM3_ zJSanvvA>iHYOP?Ft<`gD(BDZ>is8YZIF;tO=ft(O;W)qpQuG)*<}uKPD?Gp;tBHXC zoJG!ty}WlVAY)B!`35&2)Fl8P()mkDy;paYT^FbZ)w4R9&cd2Oe5IMwT#mFvus)%L zPW=MJ7>!d|5jSuEJ;5ch8m5NP?T~aoHmJZ{1OTjOpx&E?r34AJ(8LjMI`s$2W8}zv zjnFnY#6qjpW0pdreGDCqjpDLKeVnHdJqnxyLo>l;LV6^h{#QTKz6yeRF1M9&MrjYH zYTyVmXMVW|B)~rO=sU%l^%EqH&n`n9F#rrF*n#Z6fe&-pT&(K3sXl?=z)@fV#F2DE zsLS%oP{ZwYJ)T^NM(bhjnyE3m#XHm_z0+4yE8eFjS%n%>kFLo{OvkTX9kRh1t~0$I zN{(hfVx9NE-W+NN@ z6jPv*mDOI^FdBB>1+r9+V&?6sMUo@O1F3=6RFjEncE#rnLDS>h+g-}4Q!Dnj5R@VI zHS@|&o#)jtz2_#T-o9eDj_Z{bPb-VHjN8u5gC0$!-sscEw5ElT8d|5_2%xIZG~uMO z^YOT(qBa}1A72n$KqE6#$ls=*v%=}Iy&>^`(*|wF0q+prTTVqMj>hXI=b~Oa6zO!{ zLE>r`odN(#xH!)hyO#i^MJEn7z-|KoBjjo$Y3tClDS2cNH=w0y#~9CalNsB?ayJsaQj~=X~_IK0E zlkj7QSo?^cY^sAa533gtUI&AS+Q0r52N>!6;}_%^r@43k>bFC6dj0LO+Oyk^uUkr{ z7VKDGAL2|S2<%8!v{oI_6DOkDZJS;D-0$lPU~OwSc+eaUoYQ?uq8{Dr&79vopyNPb zywO&L2MhXR9?YATJ{U~f6DhJ9Sqxg_t=6(GTm$PQj#fZs>TwruvF)$gda5=+3aEyc zsxp%X6(M_=JfAd>6F{8cackZ^XhGhcC8jtiBrB)Cc-A50)F&XEv`fmrqR--sgA(hHyAfsvB2Zmc;mPy3pa!@2l$>QUwko^&oF5@V`d`k$6OlhGf z$v4kMdb!gwCoM`Kws;1tF`+&Pp_AlrAkN@In&}RP9_QKBk78BLheYUKZP}O~76}EOkJg4Fi-86C-P(k{xrp0sI19kxK$?{Z- zE1IKCxKajWjh3Yc`0zHNy;#^j^kxfGa_2#imAhYZt^f5&8*H>G0oYKoZtk-lOjt7G$N-9>*2}1@i z46k@xBU2L9U{lMHRHx%*S;4=m0AyO)vMoF!wzCDp9*6jSmohG)e3@3m;~vvX&&d^D>4%J z1Ek0V^hRcWbN-Z6PVKQ?o#=WfEAx{S(*r>0kVx^sIVqu$R$n;D2V#iXZAq>D1v zMUtdKbtLuMMIbF4lOo#YtIIW?yZS^WPAoNdW$m9qjiMXXLmmWLKCm%M49fS^l~4qa13weVgGOrY%O9vDWCb zYqCJ>7|fEGtO0Khha5odiS{9YPl3J&;sK-5UhfOqlIn(Z@a9V95X0UnGoinpsjMnpPdndrasjbUFq6AQU^1 zZ^hZ0bYaw%4#B0ySZnX#rOQufiw_VG>+)rb))=8+jocJfQ}SL%kSpS0xv|8?5J;{g z+_R}chR-5`@x%NF_iXAmB=IZkfFw&(-A-zQ2Nc#2p4|dBa~>>)a5-o}vS{fRq#zC9 z)}QKzB0G@%tT<6TKnYRUbiD+-hb61q9Lb{A%7C^VsfQ zls#B~qLq32KD*1c^Ym`N`S#5;2Zm^`rgxM5^zsB4rkKZ+|}AkuqKe~iP2*UhoK5r zHFCVT>bZXQf{^*7`%zVUS1^i!&P8K}Fcuy=2MA~on%eb#*ER>b?c@$GymQ+;!{6cn z2i6kamZ4k(8COjl)*u_2@FUz3x_Ug&K(ZHh5HXPm2ocaQ80SoPHI2N4Ull?J&|8B7 z%p!7V%aq_9buVc+Nn6|C9XgUR9t@f@K5o;{`A@&m7|jPpmDbV~zi2jXKRD{J$Fs}+_0P@-mXK^A>+{}S z)AXqFul{`gbY#p))g7fQoVsI&)-Qd!r@ek`Jp{EPEf+Gv4iLrL^sTrG4zxr$`@2QSLQBt^4t)OQ(H z`*NQQ!e)v*a~RZDcT!qKfEQ%1Bl|Q2URESU=yZR_OqTdqEK<%}{uXRRK}H8GIj_{u z=0gS4JG`X>{BC+bXG_ggxY14kZxsgHq|M5XI`cdDHRYg4W7mM0vp14)MyNVr4GArn zK%=|YsGayroRmqa^Bxg)5+t?P=EDC$T!6q6JAl$bUNRTHw^G|(Dc%O1`ppLv(s|Tq z0qdvyAHV`%Nmm5${N1cax_D-fhYy+1vk~jTgoh_wVd-9GT*6xd4ntQ>)u!d~VYTG8 zwXdkgCPyr9oZcU;uQ0X?pS9P_TZLuiHm2|!i!pJ#b;<4!VPaP>)Ba8c)>4oOhbp9R zRG8Rdd#qlSspj2h%k;k8+fEyZZq^C#lR4Hy5`=AONF!Zu7-mXITGp~K5+>v_4kE<7i%X-Dv)SXG%sO#ZL zp~FP!bZ}gAnx@RIVvfvrtNbx34X|;MDB17p6SdQLr;T?)x;~Oa&aiaj7szkk3NIQi z{w7VN1)7`u4#fA2M)|+ zB+wmum`q8CAs!LZYmg^kpN7Ppqh7)<@I)wgde!eCEm!cC5J%Rg;#5+tMDOMWDk1Z* zFR{b9@0h&mNI=4Vyj#vDNcvfU|6(4mfZa%_3F2%6VUZK$;Qt#1t4iBVLxJQ@$V*BT zz+-Cq#vTmRo`iNnE5j>T4Tmebt1sie#j6_J=1A`t`<)Ud0-9TlWDJ*OOj?XIUyA3o zo+m)`S~~jJ*MV!&jK^Fv;RMW7HFbVUOO#PeShbjb)0y!U-0S(9={I*FI(F^3l(%BZ z26!M15RQUyd4A-ld>{4$8hLne09OgQzzS&lY)z0f-!AdrAkq)v_>uVZ1x1!Qn|gTZ z+KZPxBAg*f9yIE<)lB*bhn9e?JmXPdi-epXB8Jx{2Y`Rb#sFw{KOy;;xZG?xa|Aes z3y=?U9D;Hy5&R*kUsGE4liebyPumKxE?Yq6qniPYw}E{aO@B?m-bf zcoow1mck%BDv*Kg%u%(bPgxGIB%9Dqod;T@M-HNg<3Jk0l;Q5{rc_J_jtew8&znZN z6Z&y_HO_xcs{m?%g3ARA`grp?E6xZ{Dl;cMfDD?FnRjk$jN$4|Jm*mG)Hza7m)KI4fXqWM$ zPd$&mhNXa5`bx5X`sl|@_I5Polk5i&iykp@L~J*za|OfDdUpg!IL<@bsl?)#=cG)) zcSHSfvj6VSO)iFY-L1!Zkaw$7ivVro@d%3?&SIqMHfch2@^6BY?4|9Sjg|SdN{@ZdqMm zUO*Hg14Po1I?{h0TOm@9C?cYCRUP4`315p3Ke*{={B}omR2e7fLOLj9&r0E9dPEBE zuB!Xnj%gqUFiq2r)DLR4nbM}yiYHcH;BzxKY7kdD63hV71vHd~t@St5-*5Y!K~3N8 zr9H%+iN6T1Ch%sx{D8KzMQ4#z>*BWk8dy={8=b-x}@?4&G^#FIR7=B>h&|X@a zNtO=hMmk=?2v~3w!QvTRVB`NYY5@cwb{715nc9m6jxCal0v6E zZqP06FMM2jhT!1w*djp`wKhmn;4R|ckK!L5#Hp^yGKm|Q;b5^=sI5ATgAQFd)U<4Y zO*XJ&?xA|AkgP9?G#LP`8CVnTx zQi4u(Vk*~Sd8)T&UUZ8xn)W9pG)Anjt)$k9-e&R4>18@nd=ykNOdE$0k_xuI+YEb} zuG=H@1D&2`%UM_H!Ys1Ir0qubHfE+pVjU7?XsWq|QJ5xz0VuSM;7%9@fPt zmrdux^X#sw4ca>OB`h~?k95(2M`8}^>!d?|@B8kF#(zaU7&jY5$LNZYr_VqQ;H zTQ&0)Y3ndk+Ta0xq83lo!gxu|czQ?x1Zc7SwQx!2jo)T3VS=#I1`B#7JAnIC4fcRZ zxMjZs#ET}8P9*Y)#Cp}6L>cY|s7A~Y2SR5O?{uG?Y-T6pT%Ng5dc{hiyGk@5KM41sWv=r8NVcZ z`P&4M^o}UPewZu<5OYAXPlfxYSN!mIcGm`LiNW=kKk!&~SwjW`QWbS> z=<0TGEN6?*h4*?1%rv@f#fc6gnd&Q=jOQ8-!K4?|+uf?|b}(;{Lb(HW+J!`HJ1N2~ zAr#Y@+j<&~v8;9S--8DGX7=FnY16cl9^{5*NgEW-+2-$x)qapc-b_WJzo1Of1b{BX zZmJW)%e}H%;o=A7#CCangR(OGv0IN?aF*IopSrx5t4y1w#u);7Bg;Mq+KNO)6(P zihFhtuCQt^v_kA@o|cqp_Xx3g4j_#`m~JE`?Onmmwddep|2u!UoJtnR^3uDFJxz3q z4uFRt98)`Fi`!ZL;Jqliv4MQoHYc46T6iG~DnmpY5%&)aY&c~JQB%;>~3SIHtd zkK`>WbPkWJ=HUo;hoi3q>Bx#K6E6WLnVZjSmr4NL#C8&q>&_t;%|{%-#S6|TFVKk% zu1t`Lv=P#NnUT9C7tdL{rWVEhMx*ey(fF#-;%#h_2sU+YITufCa!t_91?ufY!X%%1SuknBt zL;^#?4HpY-wB5s>;h<#KW3JiB$WQNf`m=kz`ifg_imO4$-(LIx3Xm{u5=1O`bq}bL zibVujdtrQk@!uJY{La#QYZ-)i`oXIjgzNLT*5*gV%@L7&|l?&EuTeF~YA6tdFHRd{tKu&V_8 z{N6k(@fLCC^97>P4W1CE7JCO!C=<@Cvl2;`EN^`?VZ}R#cz6Sc^+Pa?GLBpitn)HV zEikMiwHM4az*DkpI=MZvARdV46@&#fA_$yuOnaIHKTEm&-1&cg@&|fG%lRcK4R2q* za(;J8(|b>8w3PvEa#d}l46$`33y&VPqBNE|c*UwG<4V}en5v&%q}Tey>}zL94w{)E98H8X9K)sYAL=eIr2UaT_eoAlXyi;e%{66i%=@yg8sfR? zwwF6J3yCq7+)~Iq+?sKiC}x52&ejxZU$ddOl4fi~24CxD!imc}{_9y9Q4R3XvBtOws) z#=>Kymx2sLWD&j|h}6oZrs?TDd`&Mj+d|u}J{*SJ`L};&r3#$PWuzAZ7(mfgxWg}a zXg$geNUJQRb8O4dV9)#r69DX=gf#ktGrP1Myp>IzUje1KYj3__4V>{Vu|8X8RXr&< z;NbOnrRpyL$H53ZwVwIKA?aw#g%Y~&5A|`^3KjX{`1&V`@$d@TP~Gcq@$}TtXK7~{Yr!OolG|Jj9|pdt|pPo|oKrtViQ zgQ|zL0jvV}a zP8LBI*hi~M*ZV6H2kyY7@pFa-z+zv0hRCQ6wfUoWB=pq9leNx>s57E?{C49)iR>5% z^ub*KYuPwY99)REESEM#-`CK2;0d{JfSRyUhRxApGzFYqAKY1>Z62Qm$-dBZ=nm)GBNUd9f9cHAC3 z79b7S1=6cwH7#l_;mCMhJVnqW#pjW@q$68WpB!6K$!V2VgK~E2K+3{)Zj4sg?JUL? z0GCO18BQI%845b$=>ve?&}<{Q1;;nKK=gE*r*T#P<$qTH<$tW5E8R~zX!Aj4TAUct zJ6v$6(bVeoLhv+3(Gy;%dsf<-=E0@QqHXBoeO=LvJM$BOv}PO^uGV5;E!{=R(A$oY zm^ZYC17{ndwbr`Vj5%}ybaiPXpG}?w`C=Vhuc3JA?Cs3b61o~sci9DMnD0ir-Pv5R zY}Z;*Q*uyi{c8Nbzx*!+0MPyP8?0Z0)rUV_YYnK^|3OJ&amT!9d~%1w+SL<0GZ9@) z@**GT)krVr+v48&mwsX#rcR8S@eB`x##=(fK_jfTcyJYu)>VUDNmA?zyTj9#<&^@+ zT1~5G>}n?x?^8}`i|6M(Fm1OZ`p{Ic8#^&B)*wKvWXH7C-6J?+vOCEaa_O0;zDMi~7z$q+ZFc{d~^X$UOLIzeVn5WHiyIzWZx8JeCgJzQcmw zm>6;+y0q?YeR2VJ0XeJ!tVj(N;8Y)<0E_G)M3Kt6B(o*n9%*?x*3&ug^gDzU!Z8SI zzjH!>d!`(t!~hO=$ZvG!uT|Bs(}G1ld|Wnw2v@+^(+~R4E$J8T0BK8`YV}qNcPZat z9NAue*}H(PSXzl5?+wrjA+_-RmSz&f-2I@@@r8PEhqeUk zRhvz<)(!}cU!4w6I7-1*MLjHCKtCD!34YA z<7;;9)AO;z1Chq8z23*BT?wYc|i zkHliMwFXIWxoDS8uj=9i(Aj|XR9B=z!>-9*Ht>1cH0`BCh=+$%V0EeVSpv8MofAtx z?e?6pZ9TGsDFRxrnp(AI#=K@&C#oM_`LQ%`Nd|n}RlVoB+t$b0H2j~N6yb239VVwA zS;G1~ujN1lyzl8p?CDlXujf9Jg!8v98P^}UH?&~QUd)rw3dBx}uQZJKJVIOCg8)yz zAr|`g91z6uAfsbq7BSGxHL`@F&!F z*!cRkDQor$TyR4&k;b+;!J|WaGO#O77<<~KP7?AyDQw|>`QfcQjfIGAc}O5HDJ_C1 z62kI&1jy1=d+9w%|86Mke{LBdXgHC8oQ^HQ7u(bwEk^cKM@mM?Hi%ONmd1(>f4a`y zYKysmA-St0TOne;@-(KualT1ysTLx`_pTBEh!yRa3mlL?tQLtED2e(mCne_)B)d|0 zr&8=`qzk}Wbd}hDKWZuQw9^YUMI+AlmN%odnYLK>vQgaNlP45lolyX5JBu^j*R%>; z#KQ;}Zb%ZOz+gpwMLmGB9N2+Kzqaj068boU;B{5uc>dhtxFA^yl~3*pdAad$^l{UH zuiHMjs^8&K_;^NWAML7_YF{fl38=ASdHG?S(y?piw8EyRb?}4c2G(Z|#v6MoKs{}5 z+D9m$JF^b!qD5*;TVIok4LTLIGLtZLePO43Ap&C(}HnQ!=&zL&nDM&?x~ zg<@VV_DDjzoE#2+O<T=DD?==j zoN5M4Q*u#|c2aNES#cKSerM>VnjXlV#v{@=K8R!7HJMy`PSwXlP1n%Sk~|4}jP82J z*L7Eaak(1uRkiz;R*mw^FH^WbaW8Is(#ZTg5=kSZ1oyOpjx=%Qv(oKspjdGRxoUtP z6rHTYbFCza#7z@Z3!!O&yWz+BU9PG2JrsMF1cdbtZ*7>#H#?NQ-=V3sKytt7<>H4t z_WMhVpsRk|yZid^PAe&={$^wZ!Sh(6B-}0@@jEtc%0GGx#nD>P#npe*VqdkuRmH!^ zJ;G1T`xcILSQbsS8C-Vff+O~WNLE&(iPh+n;+Ohy80zYyR+TyL%`fnhAW7$?Qv5N- zl%0OATf&g8FR&M?RbAHqtnIw9l^9%2vhPu=xwSgi;-m-VbM;Q+2^xp&^IUBetQX$= z$7gr!?;Hk&X)`vn8R+#2*ZUq>(m!Z#S9dM#Zd#+$Z}uYP$K&d}SjLefToA`^8jc_h^B4_WWsy1)x}e1+5z{GxoAF zlq1oTWMzNVu8Mh7RE>m@p8mNw+S5e?e3>NrV8S;4x~WNA0e1KW??bB&-aF3Pm59^5;;^&z*Xn_A8|$scmnlw6~< zQ#QB(hxSm@(pNvS(Ro%vnHAoQQ@ zVNGrD?yu?JQeCeqA`i!6HQXDtV@1bhY$%755Toa&qYI3L1{OYUXFa@oPA%s>GPHx~ zB-Xo_PO2RY!ix67)=a-788G1sdL~Z#LcLzDH=BchOpT?Y#ByUb&3rfNG)Z@6{TkC~ z8lh%dR^ftpEE@yFX^;+gMknw{*iwkKT2PfCXBy7`0u@>!lo4GsbR+D*9Bznb!OH#h z{94!5rK4b=XY2Uj9iSs}?$SYR8H@Y-DEmGP9%K0HILCUAH$wp3-<13nNdS*w9wAF# zy(Q%lsiUF%HSI9sffQa&kg=ug_d)TP#IVmhRYRgX<_z&Cb$?sIM+J_+M!tEHgy=ki zYvhWSH>|mbvt5P+5w;Pn_r%&^rJ!!y5K0^<)~|ok*2uNd%lA#atvRKRsgM>_A#{1@ zLget+!(+22-GA#%xRu`lJ&{I)Mu=_#I7MtoclI(QH&FwEI7xvyKqX^t*({f4L^#%j zLq`xuPk1|~u^8SgnL5PT>+eX=IJV;#Jgj!AtGzV!Bz&K=9N=b9%g}!$8CTC>jNcJy zKsmODszv!7>JXIrcH<3~uA|>z^oAcBjaFIr z22`v>YIa?IdMW&{O5zN=nn6yGstUPn*l>J$OlkIGmONRl^K<=V8ce*@js4mEG4QK%zoq@eXo_-}e*;30FNo?cFSmXf6*A zA4%)bD8#f@w`(JeOzGUg3mmD30{1Cb-HAvXCK zsD_HS*70Nl&%M<5!ted``!IcslAO5Lq1|+6kmNn>C7coYV~`;ICWm96E4*BKm=0uz zvX2KoPrmn)$25!S+#?n83umQp&tvyuuL22)wki}+hNDkjo7W^r4*X*Kb|XRbn8KsY zr_+^AHq!sg4a^(JE7q$K9O{xG9m7RVi%1(O_v4Drg?k0V#~67=9U``;gMANoRy@`o zr&XC0(}|fmO?Ad;sSdT|h`JqOt2mv)TO^_2)v=))mBE(OJ<7B+yAhG?ob*)+ww`Pp zyIAbNOA&A~JZv~l`tbynb~|?UwAbt^@bsj!(xvr-M5THftP;6H`giSium24V!RznQ zce4_r7S(Nbn8JbFhdYByn@#lU3b<_ z?@yOKpEZUPQZp^ebYDCP48V%CYNDZ!80%2T95_NK*1PNGmY`KO#I3$=?_Fz}Uz>2? zFkG0+vHFYw&Kcy|`?TpKeJ0^bB6i%S9$#MSk1G|<|NE0~zBzE(5M-I%j_@uxjg171 zeS#JbKy8zgW%^`M2B8YeGW3aqMBwd7$Y51)JcVc8GOi=ML0u6YRJ?8PZ z0MLa*P1gsKqD0ocsZ#{;6e~gGTMMrVH_QC=mq{+8l1YEPn zBKg+g*P9*igXx2Sz6#>R^B;5c2XX~4PJ#?cSEw|yd!iV9sRx5m%5=v=CK?mV5fG{# zgKSw$xyVTT9VV*g2QD)bcvYqb(u`V1%-o}&n$i5AVuE^MZgc%#-1yInV}&--TIj(6 z3HR(*w+LJ+I zl|~d0KT%2W=gc!e=W^OGVQAB)OLYw#Jt14Vg321l8L7&JRj^c@M#2%AresuPq^p~h zl3u^-sxux;FT(7iXGusmQaY8TyZF$rE_ZvCBW7tTdA_V$;)3L$BfBK^SH+W*(Tq)T z^RzmTfZ;arqtpqrsU%Hs#e-#Fo$W!OnaiEXHBY=Aau`alz%i_kt9SRU4-1h^p1)5M8g^Qh_} zcU*tPsH}oGCRrk%OX{U-jh5+Bh&4`&Ybq+2IXrI=&QSu6L9cZQst^1q39!JX8q3wV zn6)HI5@4Rr)R*ggF$_`QXO1{NT`yc+PIg-uWyG?<`@UI@O9uQj1PG`p3{3f^y4h;N z0u>LV9HU{1-`U5Sd@gX}VUjt&`@@AklVGCVZ>Ov?2>OgT!G^r-3sw&tosWZlM1nqr zIIUIJwtGo%&{s(9Rc_kzI4tt;zvkc$_X7(Uvm^2)DGq-u)`h~EOF53 z@{|0n=C2cP6hZ1mxo$Yn4X0BYi8-!O$2#AkipXOYkVV8|CvOt1S1p};o3?5Do#LkN zRE5Ow&Vc9)7ilBe#IzqRGaPaFTJrYn_}5#8*g~iqeC&>G$7}dr+Nhw&1DyG~`P4KYU&rXD zZ*5^-v3rB2Wk8+Y8im_HecCl4aS&+^GQ$B91Hq^NEFrIX^44CxIVzS#5Knp&^=EQs z`I!4yH=UcN^94Qvr?JVyyUi!p%|~yo`*-F(k@holQiahBQeY!S+&e9TuVWy2mjN*e zJDEALLJmfvacUQ*WpsB4qH7NPyBy^2a*$~b%-Lk;_?Z$3y#Q4}s=vMZ^Ls1s4MyId zi(E5e4x_N}wgL~v4u?D%lI7&?X%H26If;Jw{T1sxJ^vx861@hcWj}RfRDmu1QmM|4 za1+26k?in*0N5AKjk!UHIc>Pg`J19M0X!qHx{???>?`k|!xs+iVFuPCeKsTwJhr2dVk`@HroBhWe$Y8@0safdc=Z8TXy7I?3q_ykK#<~zl}E+J0t|p_qT}B!%#ezmv~$0lZhi5&F#Uc7?#0#02WkUvi+=%M zI{)Zzee(?;8BlaoUzKiu;%S~yzJSrr>V%|@#<#uxw5dplU}UNTjH9ra=v;;H3)*r5 zX>UDtP$4cbRK^X9PhcNL{joTfFe`2B!q=3=>rPJDYM1FQn^L70&_x%%5OdlN165UCh z!hta{R`r%v*!;oFkX$94lNOK!!VbV0NbA342ZL~NAMg~*@ld9vB@bEr;7l&Vi~$03 z@>+E*=4}3CfWdq{lHx#u{*-(-VOD@W1XfZ!5*M14aAKu5ynJ@YBNjk8Gi9!`1yh9| zJUBEhY_;FDEvFi6N5pY<7xTf6S{a}^!kvG@TmU}>Nn*lJfz-_tKQb+@A^g;F+$+fj z%f?e05e<2&4`akM?W$(_bJ6td>MhG8%yr`=QbqAqUszLwOz@2X`S#t%4nunz*^m5Hb3p%O1w0FNvBth+}+gz;f{|Jy+{G`6W`muLUK6{TERp;@GxrGrh{jm_RbijEzhS?t`*YXOaYmb4jH zLlHhW|Hsd48_*TZ%MY~!{rZk2h$Lto0BtF z_)ZpU^05VHrPZa-Q+!P@64OEF&n6q0m|wD74+rzjzs*cDl#^CU-Br6I znc(+Hdx?X@o6=sim~T#qnNAa%&TV~01_WZCjd%0Be>6R*ll!Kr#MAKno|pg%Yv5u5 z+S0?eR&pCool354gK!|%xF|{HncXa4GDw4W3}^dq+mm=b7#Gv(5c&?@k(zX!AxXSId6I)DFcbI4g?>Bq$3YVJWeGl2Kl)$(gT zG3g%SEVLxa(ypC~Ontawar%BLVDp&F1q_df-M9Oozc*hORu@w1Ynq?o^)H4OTxV5> zUHtlcnC>yyN#?Dhzy70tfTHWEH_4)}>*bexv$6CcU8Td$l&BHBh1(v?3iWk3Q>U-3 zxyrq@Y1u&zHjaqXL51=ML>9ofo0SJWjQ;G+*FCUG9EqSXn2lDjmmm(%weAX0oyysT zyQ~-G2&&Z4+PTxI3oz~61Dw%@V|DR}_|e_G{@3-<+q4&$TME{3ouNIr6}tou-q^4* zb=AS!;ht-P{}20vW7mQ!JQ_Pa30Awi0wL$4Z;X9E$N9#UD2fXczh1)D!TI619>$O_3Mj>OCnAi{q8;7U2c!=6{Qypa&vXi_?Xfz0 z9MP-^)W=%_a`gx^9y9P%AJ}h_gV^cBE^9fA=b?ITYYiMUHI2G{=KT9VL82>QP_p>O zZe}=Bc8uA;M~=r2uHD5!RztkzJ_#oCMtR?XNMVE_cxbrQp{7x+dPgA!9#8}%F~fLr zgd_SJkGsiypY2cIvF^`oa0rpNeUOQOM2=S)%{i)D03{Xde;DepT^(K*GWf z9`r92DeyG83MnbZhNg|X{a03k2`EeUejl>KQ&nciIL5drR|v+FfQ_khVCTF06pi zbuEF8qE28Ffarj|rFKMpCM-0Ox(zqDwsH4DLo^{Z>}oz0%n;Iv)6y;={i_{z*OU%p zPlt%~h4X%??odHpV}cz1Fp`S7s!1$5(NG8;AK7+RM!I^z5P|8o&zqt`fyNdxU6x)6u|qlSHPMsoC8h)J_-d}R(b4fIcOwy z@cx^z;%7j9`C#RyCMlY9n~t4sq05@YpfHhqM$%4z+fZBHxnlSe;LMW}x`H}E@*O+j zHx<8`bFv-U+hxm9JERI#$BGNUM~y~@RawoA!c|&rLPq=~o&8x{f3TWSFa9!J&6_xsvqG$#3T3s2&%x^OCAA1`ektc@Cx#9et` z=spqXuujtkQ zH{(kjw=Hv#-Zc8bY?=6kHAWx(0{RK;rN`^$JYFzJY$Bp#bSKWvJb>HkaA@6) z`GiATZ`hIP!8uOqfi*eTJ+s-^1Mq0r$yj@8wYnH=JT~phTH+8OUM_>AdZJ4KLe32b z%fDApiCTNDil4CcfwsVqe&wB2!_G|b@<)%=s;g-c?0G#Qy;Dn@d%QUOEYQoSlNK>x z(tp`cOXIUyx*sf8T933q5tYeK8eJ{Werh|G%qen9s$0aQFOGBVep~cX5~JJ$N{G#_EtJ|)pOmBCIf@Btp#I_VN^(V zCb5eTwat(MUF-l8eFC#aPk5@d5VpsQfu>vc3MdHG2@xS0d22I- znr4uJ=BA^=k%kaxK=n~vs%SGjf&3O2A9IolbB6uewaV^DDC&2dk_!pW0Qq&(5T{#s zg5cJ{m_{P1Q0S#4$>>GW7e^tS90v0_thc+W0-%(Bj@t}DU`8YHr_u1((@HwJY8-FlX^WDL8qbQ9?$ByKes@}oEymAXkbE4 zp(Rz?sb=`iQDZMP3VE(i9QFcbBn)IYsrk8u#Iz7%U`-3|r;Y@v2HyFsQ^=wiVEZLG zV9oYhj4zRTI7jR@i|{XUQXt!>khDtdbm^(UYp3!*Hm-(9}?C(-6rTIg;FN>1>fb0n6dh>&`q| z@u-+Th^tZop>kk+Z6LzVWC}wj_7^?o3tW(fc&QjOksO}`9Q4gj`E)2B9L@ko3x#GD z5FX*YLE>q5TkClNLB!m$2RWUk108@s8tEO9%AaZZVJ!lxFPJD!TSWHU#I&ppcCi46 z6!=C)T{W1kgKaptCK7|1SVI*-8*KacqFbhYd+}LdP@mm)=b1&v&u+BBNF&qeRt9$L z$_pIt3PAUhQ1w#b>C+V*viF`{yaRm^rS0Nw8Lm*?B1zU~EtM5Noz3gQi-Yd`4XOUm zZa;EmPWLJpJr)H_f5+autj6nzR(Yiw@c4~jM^fAvFYq1@E4+Ebe;5Q(Apip=qkdJ( zx{TqD%L{S>NfHwgAOP{(x}gBKtAPaBv!wMCm$R=MhRFHfzCoCkI(xWn0Y3}S{yA(y zGF3T&M+f@_dS?Gz(S_DNdqewDbFNP6O#YaJ-+G}FdILWYk%T@DJso?`$|Hee%W0=$ zDiS*p11?cBbidUw&!mrG@~xLRG?5irC|~H7-%|tifuy?OxkY|YD(OYpV;Fqv1rCXP z?Lcy(dg+Ijst{wy`kf+X!TC@AfN6>5gjU+YtZ@r@7tqdabTp9mF(Q^$fQ~~vXmHke zx}#`sUnGUZ@)KC|1o*yhn~{~T>0zP(@U-@Aq=U<}A0r(bTqig)T^`x_f0oomKGJWd z@_?}XAh_WteYk=g$4hr%lC04brV}6et*fb|$0^<#km$Po=%)Sb{UjT-YIB{Zjd;ms zZw23go?%GveUZGu1@d~_i~{N7N4n$sVFW@aKjB6Q~G$}K+$%M-XLY)4=^ z+ep*tN|RjV!&cLGJ0C=TYC4}fQ8BX+dm7qzPDqv9TMzs;CUB_dx>>hh#O3p<5U`Bt zSk$P&k}$vx(gKF-NE(m*xpBB5tvd#{ZY_V~^sPk@Tn$9_Ai%Gy%W*t>v;cxU%VRHy zH5?YQNNVxoK<;#=Y$Gw&W79e@zGlj;X#oj29Yr>eP=^=G3iF@)?CL1 z_}vx&?G2Rvwb;1nr1K0;I{#dfC~Ok>Oyc$LHPsgY zr+3xxq&yq`8_AA1(+hk>ZYfT|M=twGa-??u1ZzYO{%lc+rl0XuDhWV3Q;|c8NWS_Jzhj0MQikM_6T{nLNU)Izf6J8ea%>O+pWyC)4HP> z#xIuxq8t0F1Xy-t_iTnOXE36Nxk29f56cG3o0l&gU?|HLZ}04qSHCxj`QqVK8jPL3jnEf7}0golFhzI+;@^EE&9+-Dy=YE{hQwLD#lttXbDQm8X8Rf!ep=vnSBkYn?~|KR z=NCI=`ned&)Xa3Kb2nJ{_|pP1KmElZhOW4Bu$9?Vp5W&f0~lMCBzFPo%;P@g9`N4n za$-MV0*x93w0-gbb8BDS%)nyNPxE+>5)U3*8{Gc&_hrQ)wu^2|Ga1HHH#8UJp&k&| zICedw588Wf%E$0V^VVT`GlJoD-2hF)OA+svbh0xZ*|XZa)2h)Cv5L^UPFgy3&_jE_s&E6WjnI=LXDgtooZ>BO>+|2%Q(>+faA`n4;s+N-M71j?uf3c zSNgP%ma8dxuug?}C)%ycV%jNXt;+eroXSa4g_0`9jg15ryPN~UZvrm2@t zW4C?%Zy_f4ZoQew=PcdOIG)B%1EE)@H+V)m0RSA>^PgJuBSA2|$4P09gIm(d(8FQs zJaca5@|SG~3u`sPd-peoC)9;F8tC4L7GgxHrdq+!YV*B#3^!31JJ{azuvSd-%io?M za1djJPzi0pU>F>%8hKl<6jQt)K+Ow*mt31dPFG3EiFpu-p8DO&Ohw7|20?00y z>4HI!M5zOl5^UOiHSDlR*kS|>36u%aJP1Q; z)#9}ZJ}iiBi6cWW4y9C(rD@}r8YZ=_jXx=f(? zPa>KDUOk*+iRL@CSqeffmL@(};_-s%8$e@LDY|NySdja<1FR0bu8}Z4czLed^HV8O zU{S1jQ5?ioJ2aDsm}h1?Drlf!-=7<(Y6X#R>o7l?8qhDX$k(dTFb*`)HE zOQw+wT8C!>c#w!DsA9$CkTQum?ZYyZOuwk|99m(ZL z$P7O|UZqJ!=RoG=1)c$9r08_tveTq=ka|k%gNR|gJJ_|4)fqz&m`RJ_oQG9RUCSNX zEO6fIDmmH$Qz)WCI`vXIg?ylS(V?c#A^RxBqZ4iF)K5~MvDH-7V95<#eZmu+(26n- zsiXZkO7PAkpQHK?}NQs-)RmpOHCJ34U8=H#123R#Co8QeaV z1Mj=tg>LX?@y^%oPA~$LB-;1LHpu_F&x&rBSZ*IN{*fWbjumb-0iH{xl!it%tQi}6Qxu|0A30blUXxhm0B0Hth4 zdrSZYcBtO$q@FhVf0uD>K3V~tdU~I)u0k-m-Qb(k)vFzRtyB;1sheGI4v6dGa7?+` z@>c_>i^3^uOYPn}AnelBpjj2CzuR6@32WI)DLH1~<{%HUW+=a^tVMb}E|-MeAs$hb zcz4LrO*mv;6}lSjk*1i`#u6&I&70X7n*EQ8EeYzg_O`D!IZi9??#g$HJu8@TcOM_3 z&o!Me?~KLy_9T{nXA&=PFGOT#U*Dg0CiK#_hYwc8|3^wTHjMHb$ zH{!Ig?%H$7W^iX)RR~)3a%7`VQn+WG2U7ozz}t)Dp>WONLY!VchH;XuB*zMHJB71p z+o4}W+z*1s!u^y1MuoM=L)E}P7t7P8c)hSOPqZd8coOK1gpU&028?qdq;8p;_8Bd8R49;}Sg-z^SxOLX z*;GfslGcWhe?#aWn+U-!uR3w(%FU)JE+ku@Wim3yna#2G?EUw95rJw?#H&Cm2nvw1ngQv$R64zn&GSIA0 zck-M*3#bmYlS>97j$YHOP>ZBNky@U`AQC2=Hwm^CLj%^YB!S;Vf-wnGaTF#MO&1`( zgCa>yBc%S+Kl|pJ$#yztz@+`#sq>MOanTf%puhR(rioe3^ZSFgfg^-96q=EvcVhkLs`*q&yf@)S;@oOIaC^Ptb$?79*B&4@paRfD(hy+eHr}uurp%k)uK` z@FJ0vtB2JD1yYnrpip~MFmdQFsBo=@)6`AH=pFrsE;#g8x4Sf^=Q$Y70uQ6@z&(b~ zum+~wQ`=PsDOmux!s{g5iCm}*dxA@TJgat>HP|>{@n)pfEnye zvy*ZjWf04~w#UV9Kr(g5GcHAY--~Go3!48g!#wc?tOXf28)F-J>m71TPF>D&;CmepLE#LhFrY#@-DzJ72b;=&_I0U^!W z9k*$pE1mdz(EUu$7KfB!`M6T6ntzuw;m*8oZSzY zg*Y?__N(b#?uzvMK}0uB@JNR;ya^L_Xc4$?m^J~txQFu@a!!aT-yn}z@GcXZcRq^f zDkAcL`lU02rsiomgMVNKI9V#B zRD1lb+x*-V{ozDE+>;QA*Z@^H(>b%R_y)uLC5!wyz-1C&iQ zdyWb%?A?o5MFAUQX}pRAZhZw!2fsV8LXDK8ZMo!JXU8xu*OPBdU=ug%C}4XrQ4eEy z>rpp|<&JL6*WX#wyj=D)56g`)w~-sFERD@=1iak}cE&?~+!n^lLk&nE#{HmmPkOF8 zy#9{kT@iV;>#*1+ACAQ4-YivZ%zsSs7*2O|O4h$b`e#=iF9YyBJ!G;tVqHCRL^*Xt z$+S`@t`_g?3$*A&V6}za9MQq~e~|zpe(oM#gjaaYrK8XOW988*EzO@KJMPYERZ02N zMl~;Vz%v2>-T3`l10Qg@hW_<0O0PdXZ@0)4U$_1ArT&zJonc_Vh0WUCR|i^(^cCFG z5o|J4bV-4D$cQQ4fs}saA8U}qcR-a>b$sE+S|L|f+btBHZsQF^We*IN?jAuwNAXs~ zE;J|Xx@STRVXQkT1S16m1VoS=Z71O|TG0e68Y5tkqz zJh~VIWEC0h0o-u5VBnq8NPt?(cq2Av)bXJ3(|JDLq4frf>}rv}HNE$lyctgU;JMx5 z0Ho1>{bP{kTy_P|NRX$#)%gv5L~9QD-ieKgfHm=p0Un^qb?}|rAh|7$SwzX84bBVb z&u#Ej?yCB*7$&9;N6&sY4vR&F%u)9Ar|fMMpnYr%>TK07mg{05m=X{xwms|}ysplQ zA7S;RrGY>&$)_#{_W;I^r$m2f4>zx_)f&Dk5`age^`v%3tK0OE^DDt2=t%?`No%;c z0z<*!@JM@5bb$9)4G&^K=Ek zi8bP8Ulbf8!ZeNo5>twF{tSez5=ET*@HYpz@DpP9k2fU}8X78rN5_%G)9dfE5ZMQy zR6@hq-4e*cya3(>&ZCCPJtJ%I;vRY zIl?r7zvHdl3%nsX>S+%4f>^DqBRS^8#kSR$5GKe}tG4c$)wk-V~og<=g8H`<_xEn98KMpYPVEo-08mOB^@ z-!Rtt$rU}@gb1r#D%EELWeEE+unU*=!!Ww$Y%(9_+GHG9_PN=jxv(FG`87Y2#W7|o zQDz%PXOs5Q(3@RTxv@7!k0B3!VA76F0DzE6rr+KrpFL$Vm1%NON7sd5x3SLzvO_u}s(kLH6U z$gx~=ARO{=s{M{1>8M!xNXIx8i%G*hAeQ|Zcs{*XHNfqC2G|T03&Tf*xt31iL6Rfs z^jx_woa9y==>SHNn8pM}QaUv&y8EHLA(Irz0sJ`eedLp>K{BiJuNlY-?Wp+FB7_BT z0W~KWJmX&sgd@nybohdngi0_z^8xAqOlBz;@$|#sJyq>i_q2EuHq3>bq=!0= z9d+Rhr$|)p8IYjulxNbO!%=~xeh{9LLaf&ex&p@v1oF~eSXECny2sWt=n$J0cC4mpFOUKR0}y0-dyHXU zrELxO4)gpcix5_c4(_bW`DPrN`Og5`)0dRDaGF5~EgcnC^Nj%S3*CCnxL1HzD@vE7|=a$bISyvOsnnAX@N<;;>K{N~U9ybW7mC z3eubxDxkMC!U+`s;#{|>Oo_?4Pr7K0Qo4~(k)9i!n+ z1j3m&8Ua%uUDEY)$#WbDK42l>ek8RAfBi@QU=;|F$gRC%u7Wo~`85nBjM!&OZ(ay3 zJp6EN0mrL_g2hJ!Y`p@vAxeBw4=$HIhR;+qp1K=NO@_J59%d(Ed{H(oF_lExOszI| z@w3xYo4AaYS^}as9!V<)3;c5L==V2yIq#F>Wr%IebEpX_ttzTZ0JDf=Xxd7G~&0SY37S+Pg(P04q87YA@ zgSJTdBAM^0Ju(Dj=1+Av8{Whpi>)o6;Own|_Lf!Ccu_Shob#?#j9~y^Dk}AN@3faq zm3Wf?^YV-fsR0a5bFW)@x~LMS&IYLW(5#!00sZdIS2kA@z+5^Q&MxRdJzl-1I0mdE7GT&;BS0?&YVu8n^wuafqgRxrFWH59}x=!>3m~(XX(a^vZ3$%5#4MoZkSjaBl3%?Hz0|0ColLU z`s2L{I+zZ_&SLjhZWc}dB<{cAB6H`j0Qd|aBZ z{FC3*OF8^?1t4gFWCW(CwB%21rd%zThw8#dEnqwB8J`U41RkzC98Yzv@zw;Wey-n< zc)IV^&!?{XbALHYa3b|tdBF?Un#4war7|`l&3!Uai0#U`kEd#gc~rH8J*c#5MlwkD za3S~WuK;YFCC;CJqctzl9FQj6V>MJelHh7Wx}MzQdp&tf0C*gFVTNqy&|KLgBg`Jz zON6f2hmq#&QhtsPs9ef* zVyTlo78y4PX6Oq2pMLuP^Y$*WvUJyZ*d-|mRv`l;!(@;mHu(Sdg7!0Roz{utE>92$LZT=VvDjvIWl7_NEFMGY%!E*F_sWLA=+{{(ET}(6B|E0Oa>Xm zq%Dga1_7K5vc9!;z4~$P<0rz$x#x86z4m+Wwf0`?`|ySV?)5$2jh$-r;mQ<OOm@An7}w{sFb~?|%A6RH^Tn&$nHTWepOAn*`Sjc0`xP=C3Jy=bGx6Pbe{<3>*K?J8+dvVd<&1!myxALd(sE_E zo4;~V4bnI5C#wNBuO5$95R`_iWr6AASC|$MVF2Xme{CIW{2dq9!k`2M-Cj(ODh5>% z4|06>1QI4FCjEUTA~S3T{h+S54O~`|ncGZhd%@bm$CbrCBG~LGt+8Q?N?d4gohUT7 ztq?HdN1Nf)i(@(K@LJA`oie*%`GA#|0ivKG3$SCpWOjYgIlxJRJxE6c*W*-D$UxX_qSO!qE8BI^XP@2(^ijMQ5nAOW;x30ht z9BD3T-h`0rg8v);?#JcQdw%0MdJ_&enz7vS2G{Nz?GV0ccJE;rxPy=Im}|JW96zG< z22}q3PBwO-#Y}|EZg(v**UjglJ-yv^`F1xvzuombAKohyNf%C-Hau}dZ+<=8UufW4b2;O+cZhpjFCIO4BeV+6sx!}LC$Qm%FcI+u zXn2U2U9Agqbn=@-P4`fXHlQ&IzM*Omnv7@nMln?k80-L!sH&FTb(^Y&=Tz0UG->E` zDzgnje-s=L@UFyupY>8TNiKX{xCAqL^d=M3s$~Kf(&vbS<`CaQw!t-jz0UI1(he3O)L)fytavxXG!s$nFI>ccXF z12QdX-3Nw);B?I!-R2u!!{AfV03T#bEy2d#(d5@?NCRjkZD%N>&d5SYimD^^fI3H} zAIVta&Mj@#CadZVwV&r5Rnws5v0Rx2BU8(rR8bvC884P&t%4zmbe`_h7eL!(KFK_* z#XPS%*oaHjt%}6>H@H^FIBocHfB*;tc@^*S(g&W|U?2_g{Wzaa2<(!p>5vZHj zzlDb^(r0lMjxgCI#a3P7uJ!(5g)p`X&S;?i;CZ7jCKZG6Z>6CdzAntNWwld93Sil? zF_vV5>=@yvt{4zgLW6gCnj$mqHVZOh>uTMqZd)|$rn$;F0FBp!DQ^}CFu^tWs;ifz zJK{Q&9iKp60~lnQp)^V#n=Bw-)531H{Aktz`4LodMUy3pMx`ve6^H55Y*vgp2*4mZ zD!M(5yQ0}!ZEz(>`_BX7=QTZ_Mj3)X0q(Gs#%>*u`_Ia6Ix-SEXe0n07S3~+4ot|T za=2rD_vB`L?u9%*{Q%HbN45#WG_v&bk@??EcFs`{|V zKm?8^;zc0MmYK*u&@cdzVM(1uIrG(oVO_@-_e({tiK!B#qOVD*pwtbnJCA@0qP`p* zK{v0zRYT~u>i88_E?;v&9prg{O|4;H2AYWdk*TW;xCwZQXS#$Y5x)$wb2W zi#3s?d73n8%)r>hxbinZSWg=s4qpH!G_dS3A9oDJYCd0K@&m^3h3+$IAnXO*f&=Y- z$%-UWauCF>GJ^_Ti(YfgQnKYzIsnpyW32N6jS_|qzCyxG;Gt`J;9oh%XamPrJTJul z=baH=s(I7!C{)1p9dfnsEdg#PjZ@peU4i!}XmelS1Xn^Y$exUf~O0MbGIwL%VBj{@GSFni5OZo11g9JL!axgBj_m;pAaB}fLDAJVO|!z_jSUXtu6J2` zrIy2Yx|VoP@C~U-PhI*}jdRH0KH!F=D6Z5|e>3*F7n2T-6RBLDxW@H9OLG=A$)ywM zY_alPZ_IV5b5=#(Zj}8|jT0U1GTT{k5w6(qx_@6a*xgORdn$5y3GK5w zyHZ^L)mX{E4UKR2*C+erzM|=#vBxMt8n#8Ozb0*t)Hgan9@Mfca20lz#c{{V zx`W)Yvcqo%bs!qP&#Gn4?ZzF@sski;eHczms@%|n9(+kuvpb1|X7VdXQmjEvMy2(g zSf3h9Q9*eG7T_QWxPZE9*TuP^G`3*u5ddGBEY(rVyx!~MSRz>lN#T{|&U?_uBm&4i zZL7MH=c8f`LR|Z;h9yEpsn7O@MoV?Q$rVE1j|jrl(&*RTiFzh#E*EHtyF4`#=JO!KzgYnh6M?7r*A0|=XSsJ?uyE;!DM8M&Mr>d* zP4Z>azVrPB9Wh4#WR{eV;3TT}W=PU_cTTkM6sbLAjhe$f(yGE`9G#&{C_{9fa-^Yc zQdL!8upzRpUw`9Ie+%g8$2}z^t17_~{j%wp+@Q!{OF+m-F6B*9#zr57ks=tZW^BKq zB`#tFC86yau#ZbPiY9al3@w?ai48n5ni|IDO3Bm2;3cG;kIaCatWAEsW|8A>IAW-q zbo$6Bn8S`NORyu)+CEL^83J`!BygE;Z>4iALm1Y{z}SFfAOmWCgG2bsrmxf3{rFWM zg4?Eis;+n*3Uoe4Fu68xy_%LkNn;1vQvmlaU|m9B^G9$at82YG$ey$8;6Z=HO(vdq zG})=`8@M;AOwukoGQEaDvt5KY<$#G+G-hzrU1lKi>MJ@;;4{3~5qmq8$6-VmuM$*l z_7YNG8(YQBRgQ{7I+9-Ltrs&*X+BS1(Dnp`fwKCUKvMJ0>%gD`=Dzg^Tb@%)VqEXsbH8#xrf^^Gcsdou@sM z8Gi2Bvjd`$^gGa?nXdpqn~G)4kF-XLZ82jnjD}x*x*ei;g~G2`cKfEMpyNF3XF!LXTmo-&H_PDoA5;BYaXCpB27?z-To%HjlaO@z%4aVXOgCKaogw z%kuz!6SE&bV>&_ff^-9*y&!g#9aUvbu~1tJ^|45*5<-Unj=X%xg%(l8z3^!AgM{N< z#n!?}gGh43Dv?5O+|x1Y*djZSK-WXYUcAf_NE!r#o=>Z+eJHe4XQ(n+;<(i*nx1KF zzvA7gHppx-ooHGJI^?Vnel(gFV)y+L4u!}?6mNf|N*bifny$nrl0DmVEujg35PlxG zy}-~NIvP(vLtp4~jTz;aCuaDjm161}3giENM|EkP72w+jy7s6E0o&ou3GO^+0ryJV z*ya1&tY7~|zC$n?NgfSnqeGq1u!MA=ko&!l~L9tBrwhF2R&A1v&M?0cc5 z+GcsW214U9h66^U3EAnXtlSFVF?(j?nm-WO}7!z)@wTSh$l5}{IH8J*;??`(U)C>^e$5t%_E+trV^ zYE3z)^PGs4Dmt`r!_y)1iCZ}ZA5^6v35=T|uJk{z`eCuQ}toO*wAqERQ38Pt!8UP^lis_`E9K)sGA`N%wi$QUQ-Na=BoxCn-N>UCZaaXFmTT z-=smlWvwoA{qvvD@k)GqC_Izq9?XF7u~-)su0zrJa9yms{lR1=XTDaHE9Bwu+g3Ec z*c((xqn*ejIS7;tEg>m)K;}tPwg2A6_hjdTG}5Ahc9jTkkCk#l_Y=+Y>qy z47PIUfTC~dtH76UeGrp1z32c%M?s(>OGF1sI0HefTdqdB8nV`XBqe zdqEy*5ym0VaQNGZ`WQNJ|GmTC`$HRJB^297=D`~hc)F1`t|#_n-yL3m!(3s{1)9W5 z&C6{gUJmJLC<9%fZL5#_(j2rp^eo+K8-O%GJ?XzjhlY+1tQ`5;RmW}KW_Vf`hkn;F5O4ruZo?s?$@M9#5 zLS5*MgwC~uo}L?1@;j+T+!9SCWy@B+YpMfT+2byD2;1iqn@;tb?m^TrbplKgSRTLrJJR+(0^zwh{nN zy1Rs2x9hw*V53KzL(V_f?L;IKf+J7#v zBTSxd&;h$9YmYXLb-Sgb2~cM49riSPA^ytI!t&T52(B#>M0RK5oge5_<`I!!Tb6}~ z*t%N7lxTq+dVo_x0qiYAH!GT+frSWAQgxgKrXl})cgePW7tyyVqV76e(uibyOrv5i z_|hp_1kwA*_DN^ECLEvB6yvZ{(hl4O?H}(he&}tHO_P!~aPQ8=(hIrdU$9Q&#v6P?hUcjYT|ISlx6fF315HZ2=`-siU zL97RmMitxvMBZNnxRLc1wD3MlUr)rlOnDpL0r@XjM0mQ!&(9$JxD~iCg!!@Xhz8Pe z?S&ok^p4#3@90rzOl!um+(pdTd%?o`4E@X}BlB6<)*V9ooP`J6QT%*&p_@8O#Kotd zd}Y>&=RgL?vc4!pOv5d5fmwqe?_Lz5)ZU^b2Q%IFtwn%a_4xf}4{yXU`9YyW1?**W z1UUnha)(eIG8#cHz&}631X^uDg4|w|;@Eez5+ZNm(e|_O-e;1&`uwwJ`>d_OECgH8 ztQiQuT7g$5@4da%eRgbEVdfZzhO`U(n^kKntxwX10LYh3{LFlu={pgh%H z!jo(j{1l~i9(WAA$m6(GkIQm2Vui;a1|e-EfKt2CI?|5az=?Q|54m}+bc{_0BJCVr zv;fptaM?V^RS|bc;PFq3g)q{t?|KVBtcBN_M<-Ow11E48JczdK%9t!@43X`x{(JiJ z6l4XsBGa_S)qWr-?p*}TkQqT4)1+r=Y}i|7pvX1Zs}yg6yGC&YAHE$W*w<4s(eUWN zDS?#<`N)yPBIL3a+)T7hz9Cgx6|{aEaTpIYxREK?cQT zO|9ECJIn1}O(_G>JACiKv<$GuwRG>f4DV`64*Iw`MDCf4_+~v^GOTDn%kgfMGC7q< zVEG1}3%V=EF6YRST5@0SNAEJff2A0X+r25kp9_etjKlTb^)EBun29&%QZK@ti12Q9 zp>uVBeCB7H%kXawrG2w0;hBv1+MKp-&W7LsOhB{0QiS7NAI$6B8D0_K-=27vqI&_} zL_l!6x!0Pe zbcTCHNN}?=u5~m^@aGcZ%XH4or704Ev)*v8O+ZmSZVL&|gm~|?$B2yROh#~R1ijl8 z@vaDQZcmV_=a=nY6LMQ!xVq_zkoZimeGPryWTW2D|D}86(9^PP-!G3rb+pBkb zwR2v3lGl6th01xIN#6LD+UYz|IKB_H0NZ_{^egj;1-MfI{>|PGudiGd;Y~#ZHx*Co ziDvN8Z2ZX=-Ug>#*y0f0cMF@nYp$TO<2FMrAN&7&Q6YfN+##Gvf|k}D*saw-?JhnE zWIMH?1(5uO>)=s^Mk8k?+LxyMGNP)rj6XmYyF8~=t6epSi)P|%+%OSq7*uSAWcN`oAh?j!Vc-I+% z<f&|*F9cPPop#^m`Mw9_u?B&U9qb6 zYqGx0HA~~ZEs_qH^;Ne4tt24V29?j9$szlG5!-lMij|<Z4I!IF$#Qi3P|%VD)nhadm`0Tho9qphEa~0d|2Lm^?IU?9IvX zd&~!kFkg(Hu&DQC_lre0A8X33k3RhO=hID zjGGZ3mj4_{@0A^S%qp{?MA@qY&0vPyJpre0%q4$wphj0Px^2L8vGZJT#bMsnvZ9rJ z$Xi95PzKmrM(K_w;SW&|GLPyz2|#Q@hnv7CK;+X|=7W%44|SHmXE6bG6x!hboM&uL zbS9kAbdpuvXKn3!&ZxpZKez+rPcGJm7uQT`5=?2o61IPd8fM?e;WT z^R#%j$-3gmorwfm`SF`N?X1HjRK<=1ykDK={oLmU9~a)qHt=w6a>TWf%21V$nMPl+ z8KRW>gSKm&JD`X`Opq;4FT(j7cMz`s3C%oy3q&78)1Rgu8HK}^yeaa=7tL`9iiXQ1?g?UH| z6)?;=BD)2lD$P?G!q#Lzk@ac#`@pXy`2p_`9Mw3A@ZL{^^Vw_Re)d{;pIwCi*+m2s z5#jrZ2qz-!rk#mcRi!2;<2N$6^+98AZpn(ClGXbdtJ3@{W+G_EV{)fV&uTBzlwTRA zMfbUF>xsgK?U^%;dF;2zbE7=xeL8B$?Y?Vmf8(bZR`A5!4)Q&s1_#I)QWW<}0-Ql0 zE71jb>f7P5ve?oGXL}dv&_}rA+HnXE!?J8n#Y0l&iIHY_t<1?7!VBf$EZ?S+T(PYN z5E#TfnF26;BXt;1dsjwQq`Z%4(1WWrLjA=Xj|w64vdH#=rhwqC>p8g;xG4^8qEo)w z=9MG>8VCn`tVms7LGtyk;Azyg*#Xe69NcmVad=sj7g0x$hTYJqVF0mjg-H9;jgA0M zO$}c7lfi+u4BCBrXhO|`NvWzrxDU{vB>))l;bmj`f=Hhe=0 zCbtJW1UX;VaP`U3rR53OkT=fykm*i7W|Sj?ty+yQm)&YMe2Wi<3=wph0bP--KEw~~ zZe$38$(&^m)@!LJ>%vhSSBK8cq%EW{?6H5}Xt_OIe}xWou9yhmMjO2ObmUOPY z%Cd1@<&BYcG!CYOblxh#;XUZSx{>b6NJI|D^#Fn0z-|YS_}gX7wgp-zxcS>>ukuv| z3Srrm-(vXB7tXpCRQpw(9D&;M#-d38oheH?B!H>V)tR)JrqJQW2Fz zBm}FxX)02x8L>)g$kDF2*jv!vP^ z__gkm99~&i`J}GzTC?pC@=ix3w+xtv;P}yhpc2*Ie8_hE3E%Z;4D@DJdcc(8C1bfT zr$wD)3=C5Jq0DP5f_+$FblvR>ya ztYdH})PO*1#KRZi9%{3#npQfd?tqxYQEZ2KH$*B)GhAMGKunid%W}g%Xe|^;^N@i~ zWerAO^#IitPXAf914I@UUx6w00f#o;BPSWy8=y#Slw6y0rS_YB3;d`yhfzAKK&(jL zW0Wia7-~QM0?uP=+MZa|{IV%Sxnh2XOzNP+DQQ{*YP7DpSM+a+(Cx@*zHP zzc0h#icX4Vmrz&N<+f{p?1q;#p_#A8xydt4~DY)d0j!WXZ)B)TL?v z9CiN>)~eu}zD2hLQP>mq;4*98>8>R^&aG;{QF=(T(UDs+mfqk&bRh2OXC;^7UfCV` zFeX^s0`WT+@X|!&mQNe8T%+L!Ko^CvLfXJ=uO0*8<|G}k3OL;G=*wyd!k!Q%X2L4u zGWuxomuB*)JjWFRDUJ*B=fldc%&2+CK&QIT-)=BN*Nf%a4O-58FkQW;jV2GKd@6T1 zZyr+kQ_FQ6ixvt3+yNo1H5mrimO^^<8QN%CL7mVaaK&d^WaxWVAh&eTNzS$aezB)5 zKx|pkFi!Fo|8}dNrlEk!MI2o99wSrSp3yap`K^2H}Co`{6xpN zVHnCSAg=Y!_eP%J4iuDc>s`kZj9cBtj zUM`x4#O?z%CL^=q=9KIwtqMHah~fr=unxPhDs9`R1d(AGa*0!znT*uMGP_T34lc_=XF&Lv*Ac-u!k+O`)O zQ%*?$UPS&BJRI=kBtE1Mj~o$=Q@SU>oQj!YntKZnTrsKUIRbmk@`Csr+uZgqMNX(I zLr_=x6SVb+i8h0C>Pp+Y5OaZ%?gNKBj%O5|BNOHblI~nqX<*K@I6V+G28?u@TLw|07Jq5-Tm(|-OnUErS-hwtn z{NgSw7y zzRZs#38UKUUknhNR%qeJT?S0A+m-blT~=TP!!JgU7(`=^SAK?;s_N#XNe_nHR;V+D z;62g52q+rxt54T*1q(NFbhBJ{_{B(=0I}F-Omqlvgia9rxTH9Abdd~WBEJ|kVJkdY z)DQXVUsvqeu&O{CI2PwqB}2(!TmJA1hgy+ltMQQe)q>#=NE4t=SD z7G2A|bIEf2 z;TLITLnlr`YFzd7pazT3bM$<4?BN$zFg4;RF}B$+~7v6Q0bDkMA{A!F;3sg>o}Ct z0~v%s=W4j13b_3`q0?jk1IU`s{%rwng`N?B7GY0m0K(L)>92gN0+^O<&ItEKw_l=C zBQpUmOmdpVMY67#4m3lK{c1yJ5|B`}3#DQZ!iG*NT;$aK$HssBHq2p0Yis|oCKvqE zGe#<_2bdD-FH#WTi%Pi;Odr~`*%6#jXS`kEKw;%hbGf>#ZME87rTVf5;wnVwyGGFEM#R6- z`*!N1Th;oGkMB%?HP&ul$o1@T$Bz~Oo!BSfqWI*i8SRRAexkFrBz-Q;A5;4L0fbEO z4bX)Fa~8()^U#B^5)Q>>&*w{1=aaAH_lfzK?Th<_*Hc5gbXl>OBS-*fE6C{BPf$Kv zog^xNs5LbUAd)$$1k^d|a8C!pcfXSWa__PR)SQr;lO`vLy4`}eNbM?W)jm(Z`yCp| zw9X&jBnaAP#Qg%Nq2fgQ4#59mTqI;W?#aIRx-JXBAbae7EVyHmq#-rxNWnbB8;l42TJ5Gqc+0N{di=rS`)EYLRl?$>vu z7?G_+`x-nBR8xQQivWn~U~OCz3922tA$zAOt0Vo$@3W0cU}{j?uI2z+kW;2K+{aqV_^X3ihB1lvjgh`nZdrE0-KFSrAg|9dDYVUj7H?Ceqi&3=PLDYcF3D5 z&3Z;`wn9l9eUsOG|IXCmlo@zcXGpG=7qI&_~ zwL9P9iy?sY<4&jovI}moje-fqqfsn1?bP&)(Jjrq=VSqbo&7PQQ^rw&+on^Siompy1e(?bVw0;88E;C><`k`@;gT#OiT ztt4W{@6HKT(Y?y{uzWUhgZa`NKbZ&)S@5Z%v;NfWa+7}}`}cYU z0US-%jPL;CYNR0Zk3EBceug`2QEny$1YE!)DG+qblIF1|MFHjwkQrpCx{{{HzUms( z-M<5oH}%7g`C8j;l4El*%9V)oS=<&x5Dgdh`Wt`x4{6U^QBU*|K_=9~P(=U-9rM+` zYC*)JrNboz!636~z>|v$&^VEZdjLk?tREa^LKh{C@{@kL%vOBI2(LpC60#8BH`88g zk_AW#+~aI+);RY75xj$5v8{F)Bs-X+ZNhLv>9yKPkXPNMIbgv$JR{EMd{UDtQ$v;q zKnR*bWdh=w?20g7gjJiYpb7Ozy1*v6D$J&e!KwWzVcyjybJq#PCE!aTiu?aY8)eG4 zEDF|ox69B)$-aBTY|)pAdX}RB72pM5nllAQYRVDdth$4%k2L1TCqJL99`k4OHZ6*ubA2iZpAIJ*k#STEXd0x8bY=4#!pxxXq#+^pThRH>U4ZEjqRiuJkIaX<+5qYPcmnz%%{4Y7l6;Q zr33NIPTTxby}~wohNpVkRI9V&ha>$tmlJ&;< z-@`mGOnJj0QB~JA)#Z_E^Q>iv{kqDTr@h$Zojx61jZ=VowzlrFS5H<8mlCY2(lCho z(zWr`SRkMjD6@_)ZO)GY8Pg|Q$<>qSUeawU#`h~X_%W$sb13qbs|V;*QW1*|$0?Z( z`Sl%4U^)OcYpyy5mej!u9|W%F82`_Yi`jK@cR$|6pI`MyLdj~KQ;zb*erz(nc#r75 zN&3wq1sPdxJidESbx2DNysP}V(V4XW{d0q#ll%jq;(ZSC zFb;UsAF^Y<{z$tx!iisl&UXh6Ul{%}Y&x8QGo~Y3IZneIBVF+~^+RGd*l<*{J!UNs zok@8iqh$*|P1*qO>ui_QhJ%-ynXnN0=7?~D4-TNp%uSr?Io~mDPl>s&^Rz1z{I-|d zr0kk4Z9ayJD6t7-fE9y@h~e__`!bdFme=~}X{H%YgJ3mtfjK-*nPrGYO-c7cJw z&S_m}u|}qjzsCdWKFd#Ve1p^UhIU7)L)mH(WJVvlR-N#0zv&KbV)#(Y`BjQvLtSgu zaMqj2Qpw=sU3KXe7rJ%QZ1;W3>%84QvkH?A>SFv1N_?_5jUib3svz+*xe&xYDF=k@nf)PZG>0rp;iWqH zg|@&$(QU3sh~s&4e(u?`XT3*Bs0LRGHTWecj{K46LW@KEY>wh{RAhXlrvJ6*Z`wpu z{}capW@%h_dJms??Uw(KRIi`Cb%0}Y%xF&>q83Tl>uQiv+f0WZ((cg5A4)|%TH)E| zbZ9x&kd`E^(LUNx7z%BJEclEDr79;8i4q(+#v>x~JsCd`{6qN}@qZo9_>Vq6#Uf{p zGyx>nIOJ6Q9c>(G)uaF3XK9+C3+xC@p&7tTlV@MXF14y3c+JTKU3%QiaqVQ_;>u zv}Z(W2S?tr+2w+$K7Jd-hF}=X>O6eyJHW;Og7$e2_%Q%4HmemwPTy#GjcFd8%o91OYI<-829=pboU)(k{?$Z|=4r=R@6inw!7GHC%Na25p!Xdd( zX=wW3smL&oMS@7;HW%+p#eOr%UoFe<74>ZHu|SO=dxSu0E~1VypFY z4Xor_WTzOUz@DW%=TBzY0(|Fsu?w^1Jj+P4J*kN2hBVuo&9X?cr+DF?x&Gz$@ zS9rKb@gdnCSOMmM(}FC^s+iNPP8#e*G%0{KKg%(v?dAf+Ds|~wfW6O?Uvj;336?ZD z3dkZl*HlL)?Vgdk&%rH^BHCQemD{o9yp0cI02Eh0gv{7~VZ8O#bzUgG|(w=vg zrRTYybh$@r0;N2!#W86)h-~#3)GY&Mi;lgyn7~65X#F{^MLE2Amdh3l)p2QUlNyEfH_LKCcs?z| zihaX9tJZYqnDh_zsbw4P%(e;pjbqv=xL2T~@+{%F2~2k`Y9tsL&eEQ3b(1OJ*ftH4 zJD5Nm!8Bc=ljR2Ct}#N5Nb<`SI@vWG!~_^@uZ{B07Ta`r;@#WO{HBunVl@wyr~T3K zL#&NS@_t>;s_l?UMFT%cHd&O@p0@0OcdSXue%Z_fT0VFprpfx1JMCJ}wqnEYP1W#n z(GD^lgf=(<7VVI_Uxkw$24}ow{BNXFWUokz5e%}b>Ai7CjbQd{CX!s^l_<*$hp}BG zLTs}WPV1yG^CsCfjGxgwm>F3k;J?KIPnO1NmI=JTU1{FuTbSzSqXCXt+JVR9`!&3v zACj`nNj1kkCB~SO+0%6EqxP1r5S>TUBSE|~vlr`1xYj(mcB`roI6@jr4kVBb^TtBB z#i#Xn8ZGVQ8|a~@+(PFvYDd0mOS@e-_ITjs~g%c`%5#Yg4P9S>QGdxcNFN?LP= zXupd+BwEn08wh9Uvr!q@K1W>EAuHjsQJi@CnMu8Yb4{HUz~&;m{U^0&YYAp$;MW7R zFj+1~4HB&|>goh-mh?y9&iDS{yX>e!i~pl`;8~;(NJY!a4L_syzG3^W$+|tRVoR8} zAVb1MJjwPQ$-LYncTwTuZ6e@WsrZ`aK8*XVTz^si4B3Z|DM{}=WYEOHiZB@|XLgw4qM(^_t}Kw+62q#8!S}rggW1VN@^4V5gzr z%l=8@s#m=DeW?%q1$pw}q(!S_nbVxDnpMuX3*D|a-`t4rMDu-)j7?Y9{2b6{6oXGs zgYhJBrTX*%kADC8Bx4G$z4G+tn!8f-^|rcN^Ld_r_jG*rKCkIl%A`M?T)gY`rspRUbn=@^+b<8*6wCbT$}DLU(hWIV(|VXy%rOU)4*4g^M;Swl zg#KI4bQQ~_Xl}N;-&PRrQm>eyqN^Xsw)3RfNpovOBV?|xAp5u_Fk5+Dom3=C@r2Bh za5D3^d>;Vpipz&ilTCN^d*R_YjOgy%}!tEfQ<;;2hj5zGf*_s*`2T><;YHvl07UXl|yj$<%# z(PL6x3ic-waOKA+`Sumr_V^7#cW__kx}+N6n*5Vrtm;pGaSStpuNIxlDLfVCciN2p zu7yl&HLAJOx5?#uvk1z{CtpL*-XJyq?$?2xHmh(nHu;IKY`Ln#25mHZc87bY#Oq^- zrtLq57tWxYIgHsaGH!e<*L+yp#=d}u!5G82tGn-hJ$p!2c!e00SQ#aUt9<=qTP_Yc z82nJB@cLXO^Xd*Cqa&yKy7Z)@yZF{OTtrBfHtrMlYdsU+f2w9SI}MXRwEN~4GJa0% z89(|Q=*eUgVi30eRRTWLtfyopAoG}^7{E8Q`;w9fifRpVGdUhc48CqvTVgl;7`7Ym+af>AcU2q7uexMKGEXEPwwi9}M-)P`Za>4C{4$OLhOX0J>hPGH@U z7Y9j5h8_r%;U?orF=Vg&UvEub>Z?gamaEGAlSnpeZbRX=Sn|-z%&j-h(8zdwvF<9hx-TYoN+kq(!p|JPlOAB(!IU_ zi^SkTjiYPLc{;miF){|oG~@W)OZR-v4suNBsPCBFv*O73RnqBtmv!x)B%va7&cbt5 zu1n}#FxjtMlw(%1>rB6$)3#>W>IhCVK#aqi6^`;Ho}}~gizD{8#-gTWb4Qy8Jbe(+ z2urZ{#vn=UJs!07{po9~3 zchYQ^2qo0BVj`o*ZueAh=h%INqJ>YJCjwX)IcdumpgddHG@NSJM_F8sbxkHj-@M3qq+lN5LI|X#@wVt*BX=iLvmLE>&t8^aV4ht51&Lea;5Z{ z0xD6qk@*&v)jR5tgC7#s2Icdq%%da@|92aa9LKbMAGzkFZM!~iu8<| zK%YL)nb|wZ%|wg)j%&LiFjYN+^~!Zs;~C*2vaxcO@%mf9!T$)*XPuNXP51IL-G^1J z?^MPtP7s2KK!MF^h45KQhspS{9W+ z%hMnNZgJ0Wb}cP9s))F-QrZDt(ya0VTJSD|^XUOZq&N}J%ddneO4PSFOuFy#7YY&q# z0szhipQjTq*&IDviz~7838maH9;oAbYT2#VNr8KD3@%^Ti>blE{*zoKW@EAIJJR*f zIs|?!<|Elc8_J`oT^X|Rv~1aTagSU9{1+KSj{X(*Du%12t$cZ!44!W6EboLH5{wls zaBy-O_QH1fM;R(N=u`AL z&?hxI#jIcZN>kqWY+s|YcvGak{hmgQteA1oo0iRdM8!T|B`*vz{WSbfT45h3^<0sW zoOIHmtJ5ws{xWIAKzLMh_n0e=F=~3n$1XjgrH-UOQ4_Gg)>+!{{&|Gz#E4(67e}7q zOml{P&J~@8d>b!SLpFvcq^-{leakW2f$hiZ^Ymy*J+fCJ1XrY?_z`^Py^(at?(VeIpuk4fUIEn?2rCK=xf=g+@FnXQg@mXI{Uw2Gl-)WckKVk`}rdfP*A7qQBFeTxcjU=V)b28V!0M zCP@^)TiRi}y*Mry&MaMwxe-rO34^aYOBFHwr%P)%&3V^lZfyN1DIN)M>YSEu;R2t` z^XpmocAqBwJPQQH?xZe!?`{0m_t_k@9q3%!0QDLVl<$V{L78OhX~LXgs^YvD=K{^2 z04BUU-A$Z6kKVW^=hsnC&1f7*Q;)DWO!CEjzN?4pQMMJDJ3#QBlUrr%thEe2r8z>ZM2V6ve&PYiC4 zWa!X2L!%4Qw+Vso(1qu!Y>%iIDc`aE*!Yc~2JIm56=b(j{U3bk`Xm?O6{f-F#fXtY zU(ZMinVyi$8%2wG4`^+_yWYOBAV289M14zXF6%ji-cNNh5L5 z+$YAxTLhEs!X4$pl@4Tw)PtrRzUQNTRzc~;Va0``s1O)iHV`C8p>1u5)wT?w7~8{s$>IBXIAkSD-c>aGwVpoaLsFB4tLryh*=gQFxLN|Zi+0U5EzT1e zlC-`jLZ0ZmxkSewMY@3Zq8)4vWgTv{IMUy^tg%K$D&L7XA1Gk7-)^(wzX=jO1l4k&=5w7(h zj4)*$PAfNEYutZl(|V9OX)xI$k+MTs(P>4RE$&Vg@azzCm84Hj8Hct<@hF&xj14zd zHZ2s~V1C$`0yfP3-&;gs<~S<1U<@>Czcx1%?MSc9mA;hk(MP^fbsi=Z73{ zf|wmJGi|3`ftw+QprgiM=W!QdFFhWlJE7sh>6IoAogpX2%s2Vk_?@PucBz<*d1QDF z{iDWuLT%aPb+M+gDAS7xa9-UW4`;Y#M{P+PrW1!03|cxJvcHsnmBgH+SwT8Z_T+d? zh8{MOldjNgtEAS(01YmBMVawEF{&|J?hvr+C~;@}F15(BVUz^D^=e#uOy zq<&4!HPDs_ik}d~jzVuEh$e>D%RvlvazNL;Wj)5T*zRSd-7=W~W6&I2n%O?DB`R#z zITN|YWZP%*fGbUMhbGAuRh)D#*Xna^E80+Y_#xNpK42^J2@sLL%`5n z$a~Zg8L-%7Usb%K%|wpcyw>eV4a@R-al8cMOQKOrs*NDTtHDsBO(B(O zRnnSk@v2BWqz$BZlawL217s&!lr*+!rJ8MZq%HDMgxIkkFRXY$suKw)s3igl(}5c% ztFuQu(*djj7b`$tgm&(bk(2L9c7cBtoVMU~vaDKFbVWfrEFSvsb5;fb^Z`EKiXT5i z&eUYo;^0F+=~tSP&eW<%8ffjVx(BVT3Ba$Kdx3@!U>~)4=o(NQ)ZkQDotG4ymozqx z1mTQZlDc-xOQ`Uk0?qrfO8LebCaFx^CV$M#1D)*f#h`7>MBhspwzZ&B4q+N*(E(`m zO>H6do>WQU#i9<~s6Et`lS#)lo;_+IYL|a>5%vN`{Ja^O-Z!ZMF~NAd!PFxf9dybz zn+ERTxWoohEr{u>KkE%Aj~mMt>0Zg``_$@b04D0pOQVPwX?=NT}uF@-k_Y zgIP8m?6YC;$zVHx?s8e-=mU30=U1iYYdPa;JH*21zEq=nDt)7d;YDGpy6D3Qrr6 zas$RUUNqxVyyp#mBo7tvr}RS~oeIdKc8$bBN-_-0EL*gI^V=}X7CLb#G z7hn0UAN}p$R^R{HfB%C&`ljMwxkSesx&X_v4bl-BYUB@pl zxX|4|d7zE~qX_AxU4GxGAO6Cx|M1uT?hn85Pt^~8>39G2cfR%gKmPl=bnXEd(S8h} zExL^I|HUu-)(?OGSJl7%NB`6J|M=I=TjhFw6b8mF$vEx5{oP+h+JE&Ye>|og#KMi) zL(&F0k@TfBwt=L*H-UAlxPy=B|S|8gZqI}rP=?LWVx(79k z$CNRy?ZL+*81=L*9ttKiTsKNEF=K|I?GpoxYOJhi^1WbBU^FE$)>MRhoU1MKC22S$ z#l6S$$y@`tG@`9ql052@I~Hy-t|b>kf>XysY6O8_ZDAm(?J>2BYknu_J)=m2M+fV% za>jH%-``J&p~b_NgO?<|FX?To&v5*SXU~d^9k=qs0~uIp3O7{6h``$A7H;OyoySMj zCTEzxO;M3rLN+$OD1bD#Zt-+rB+ONI=UeU_DK2hi-kEm}JC8PqcMjlbm^aw=1q5l? zK}QGT%7*ls6T9}p?HDnAh(!}|UKrg4K8d0|QY`zfSy44f64R-c2`-FGiHe*9el{jt z*=-TGlH6wY>LBkhy0RA4k!rdkRkY49CkDX9E?f`h424$~jk(N%!bGbS_AvqXZ zyB#ZSQ=>JlddcGNQf!c`R;jUydxt@M8mTuyQr2-(|pbOrTJwnrknRUoUJJE?` zGE+5t=+yl4m+;fviKTuqYO|zjpq12&FBOP!$Ck3sE!j@B!B^(J)A<3AkJY|Wvrk`+ zPz4vIP7_WFy+=*hI_dd>=ny<6#t5RpzL5-uIDYn0?$=o5kdhE^-G4nm^;rVtL0kR_ zNAjdu8$@maD$!^Pt~$Gl=-;QaFIhHKLF*1}5R@^V6%Fw1&0WyvFo|MMSeXEuns0Zs73f;o0i?n2?SUGSz!^d3n^a+%P3rLGY=}Oe=A*yg zA>;NvGSXDu7Gy$rf&&^|&qh|>W|;%cySZBQaw6hZ(QlHm{fsgI0y3=!{rz4tXnX$b zLbg8^8QWLNmt9`VaGi4*!EG5H56mdT^WRU#_A|-|ta&{G>-}VGKcftL))u>;WbY;; zIFk{)yNvnR+V3^C!I_Nr=?}ozY`5*B3Y4(;N`D028)SG^91KDLmoXLMTkjzRM{zn4 zVq5PnrN1KM>{A|egwlSOHXD6 z_n8K<;iR@hm)j>~N7cAC)m&*R&6dj?VM3>}D$<6u3n6a0Csb3-3t|0B*>jp|YlhTu$o@-Da>r#49LI2rK~9*jIJoSPPnySs~>Occmu{YBJu|P}-<=(jwKS<(=gX4lf?y{`x{ZU57ma$l1TGK@6 z181jHHs%K=Xeo}9;wzL-Q|b}r?&WD31bTMFanoiE*N;B%7&qgzKpMV8y~0T)u^kdU z3li*-OqZv++XiSo7=PSLHlnBKiI~^Rg;~{C`6>$#7vXw036GvE!qG+Ga%5RE&fv5q zyE4m|JO_mUI1j_fHzM4VyJQcXol*%Uw&Hk<9wi9Te;opHuTnzUg6fNvflEk4{G{y} zBhj_Fs#Eg(Ns4WPC4&j%M2ySL6xI^9d3EgUo>?hr9%;QEK^OYO$k~iXb?5QhirhlK zX?6(kY0<5y+i8cA8a`D9C=1X4uypLnY;Cv&c)n<|>?VyF;Oc7-vNHF}&51!Ka!)nJ z2!bOhqznVc%SkH4_W>n3c~3 z5g~04*@lO(%pQ{Tx^#J@(w7bindP@v;kpBI#>({XghB?l`RfAgO<0$XqpodnJt>-v z`w1G%GHDpLw0*B)9898H#mJ-Inz{&+rpq63yw%B@%JJ^ZEiDZ5p(^meFO7j`7frdU zN5q;GBQKU)zE4T>!{H4ya*P9TNc0kPS-fY-$4UA653ZCT4|1y_>CzledTrZtpXKE} z)%pdnUg|xdajAW|$xpG~ogb-H2ed_|8k-(5f?y0kaHcD1z!HO47djI!3CFP0?e__S zt!WElpDE{Uc;Lhl5ZB>ws;-k843vC8ac3YvX+Uz?<_A1N>c^fZcUvw8-iNsAYUVU} zx()MAAF6+=(|_~@P1do*jW~m>Pq{jj+_{4Wm*!ViGIpHsJkWqQc}mkc$Gc@r3cmT= zb(}Sb+l24Ma5&_e{oanWkF9&A4D&f-g3%O-IGYp2$mTF8n`OA*cd}`&7O1M`eHycb zlEojgM84ti?V^4(*7X}Qc$^^&I0NDaLf`Q54A~s<@^F?sj5)a4yI?9+ga&0?F zFHP`8yv-CsMyOZ;=_66c#6BnXII$gz@aTFs*^_M21kdGck+hk;Q+NE}sd?msW!c6_hm{CQIIKKBhJ&>oYs~4fMh7N;1(f|PBghM+C9tQ>kO`HJAevK z>Yb(CN@H8S07v>+F#&r^@O$n+m^Pn?vphT;KsBSSv)k`Mo20Rg-;{}_At-IDQ&l9U zPP@vkPW?b8098P$zocUg6B1ns?`RlNJdQ&PpX3N6 zM>uwQXlSgXwuY}`w?D6#Og7uqla28b|HbFQSty9v%`QKXfSi=>hO7oWJ!J{tlR?#} z*(FbA3ycOl)d6_tA+Osm7u9c z8KT2mi{3cR$7IXVN!1q5Cyfb~Q)tw%&hj0e`|>g^3{8+E2H(2Q(we^90|;r~;5iK6 ztk(#>nS8bb->0y47Z1%Eh!-4SLao@o{x(1{H%1SMOmh;X1z_8S1=FN()ZUQ!0ouw< z0m)>O~iFsjMXp?}33p1*JzrFV&D+rba71MFV4 z1VGO=r)}bqKQ<@dPRdzT%3jzs8CwQ;Xe!{l@D-i;k+G_)1Z0P4wS!L+33-)H{&-1? zm>RaE_L#e)(5=##;ED5fNM$VFv;st60KIbBk!n6>X8PzfK8Xe`_vG*C%k#g&}vH zy%KSD=-(9g$=4p~dz+;Ntm5N{d`g=8rpmdV_jcku*MB=np)HbJWAVAcp>F_D)mZN1 z>Mm9GDuHg?7ztJQ&wg1A|6Aqt3WK{&$o|zV$O+#`Rc&HmHQ-h(|6l%&%GIC!kMx5~ zVU8j>3v5Pet!SL?9@H|kJ6G&_5yy4o$)VeQ;-WrK@;U$MxpDt+=g*IX^b7%7QS&I0rOG)gFQdEFyJLj3Z z^WsI|s^iUO`sc!)XyWA{_Eqw)b=K`_`PL$|CzW!}XGCybt6lQgof30LdP52v0S-mI z^X-LYqf-Cr=iib-ZyN53Ll7D~^m0;LR$IevT6N2Zi>Z!|^o{njc5!_rK+~-}vEkR!eIcAk5D0k6GKd&$i>%lfJ7JBruVyR z0Fjs(4*K$X6J|Z>(&X{&zCws~m%ClV0W0go(QHLq3ww5R4{(EIBmzKfPP@Q4?}D>F z3jzOh(F_1)b2CK9-}?OdYuqL)hxh_a2$@?3Vog}d-|tT*l~kvV`Z0ed?p*vBg)3>; zQ`EUspRDGkQ3Cm(UcLUE1g)H;UXz7TAawCSNkA@+i;)`NQ#d;&?cv|e2C!a z7X`N;iMQ3s1if`eVkR$jl7nT=vh+1OD`T3^w%%C7Wkn}D->|W-TzV$J(L-^y7ZCf&n@IM04~$Bn9=`_&J$i_Xj%6Va0+(fwu7`;foK< zf7_;W9sKkjbMP$!1ZyoEGRd~ha>dj{eM-w+xL}-jmE#5B0^lOS!Y6}FkJq5!a{()w zf(7jn2#QCT*aFx!BtE3=9;h7j0XULhy{bw!H8@k17aSx?h6a%KDY2-l2B0i_Q908H3zYp`$-p*Y#RVK2uP$##@<30lG_gu=^~S@#nhX}x7ZHA zv+S4}L^VVc>8FF6$xZS|>uKLBw$sjwBPz}D@gwxn6(Qz}&8(#lHJFFbCaE38+;Q{^ zFi2=CMXN%Y0vvF?XUH8UOA3KrRZPM-*HDcJiY)phUgMx94z+ zUZ3YGwsDW1Xdy@umz%Q`8Fq%Lv`hA`` z=xHGpv{c~6jy*+ObovZ8;0YN%(Gwlfj{-NG;4a$n_0n{AQ0*LaWHiSRxm|Sut<1&)0Kf`VepPC}B#EW_%Ms0@PILziVoZDiY z$4+<--)K)e`h}|i_*A`Z{_c>Op(w>u=B*TcWsT2mNA4$1nX> zZDa|UO9bQR2sizC+SNk5yoQKci||{7-(vh0<2T!)UyT*QS9LHSzjQK`6a!rp2^kxL zN^kOOP>oj-T=uo_^4J2WgcK-DXHw`o*ueZ6)TMa2J^Qu4h%q)59Ww`p9aGcafw6#F z(lp5%U__n&jXhW}6WcB8#u5^HArsGEfr>5j zjd{p<^1kVBLx6b5$Xl)8nun+86Jm#eLejN>$YP`toLZNktQfOGe%2YtWDI;qI~_1t zRrW<@nd!^iu+m=PG3oM?l=eQ$p}9Bwq63)8sHCyf9BX8X14vq$!XcXcS~>l-;P9DK zL;Xj;o9*jw6|cW_&nQEMQLV^wl{uJJ9d6>828dC^$l6%r38Yaw5RV~zaR2&SHE@U5 zufK(Yp}fG?X#P8u@sMC@ZZib%8AY`QeIRUJ+QC^a(vwLRTmAIKhs&x&j(7U>^{-Dx zh)UM&BAwi9s1?Td$jqTp$m!c5E;oC1zy&d`g6a&xL8~q5PDkh(;X@p-t;BbAUp+EO zxjaD_6Lf6^05}WV`I2&Qg$Q7Zg&loKk;Z2If3&?zsBBx79rp55S!UZ{8H2&bjcvAX zzI(}hC-?tz!Jn29M&Oold&Q0&5&Ojc#ND40Hx6!;Bye?94V4>~dwMP;l$eApC$f{G zEE`T1?x^t|0vn7QY8kg>)Ubs=bIiH+HzLlxPnAXHyXTyUwdVS-HRoD$j`7Cw9>VC2 zMLH>cL0ZzA3Cc-w`VW3cImsr70DSS_Cde5&$mvN=?+tKA-xxDOLe3buoDuR#A$5>1 zh>*{Zr+m>HW5H2LIjI@}=kz?}1WHEm;3vrGB%ISn&fv`eg(ca@R*?dcG=A_xWb>$4 z(&41Q1lhtjhNh;LOc4o#Voqg6+zSEs4rNNFS_W@4w3^No*qkY`k;!AZNx)6>hLSvV zi7CnNX0=xJfjnXuik}C-%mycZNa6H3tE}L`l@7^0@AhLv> zA+159d>-b28|8CKdn(I*W6TIDB_oCx4dc#pd6u|5W-j+eXzPp52`%HH~XY~B3rnY2^bb+&JiHtrskp`Rl=OL2r40+sKt|`7o z$4s+Q@?lm|fsV{XhwF=Z^AO1}VCp@%%UOw>)Q=ID7{%NcmuD~M45h?K=NxCHWD8}k zxGXq{csfPH?=~+CuINCR&b16MSsb2^E*DH6NkZ-xtXvnXRnJOfqUoV$7-y0mwSBIj z!xiM;onclYPs9^KPk)yO+~baLxg#hK|87sSQs;^|7wYctT=pJfP8o2U!k9mQWBfx> z&osLlfCaMc0F8}NX>?ejTq$Y}^^l*2l&AwZVoSj{%NtMz0_g{DLn#3A;XpzM@ddB9 zjkTB{TFk~8{M#6NV_)^{TuRFkz-KsRF(hf57uI5eYB4G8*H1aWc8}Su`3lhKwp?rM z^7WaC#rZL5R$$lA`N!~d)?(%9{0w&ldVtIfrh=xGt&{Bp;{^p|{KP#bowg30bT7nh z`ew7F^Oz8Y1;mH>-!3x2u+zk<{iUOqV|WD)@8wN zOf*-I?N%|H_+wq{S^xoQ?Tr$5Ok@Onq3!zsF@wAFPQ8uLf06BP{Cl4>joCSJ?v6*60IVTJoeKyQ}Nep?LYl%P(g#LQ;_#Tnx8{ z0JiF^ee?3`3U983fScou0586?4h$p9rv+6aK!&@fWsi(%COEdd#Hv4Fbb3TKZE63w zENYlo9-#gK1Gs2cggZX2Q`TH{N8|uMndTl$(p8%y7wFJAnO^y^2l~j%FI8j8-}Ows z2dF7BQxsOzdICf~yhOR<^p|7Cf14KmxcSRNq4pAAAUZH8nW24$__++;$$k55?k)}O zHWmEzn14O5@CbbrjOvOiSR8iGpTpOgHMPm3=9v#+zG`I|qWN$~RZku2Q$ z&%QQ!D=I!yHZJdQ*BMN*gU_pb(WeT)M{r^_X{WqVK*ZhhHhQNU;7^74zl{dC((NqU z)jz$d4Da(A^2v&D)wTF&)|^>U?x&^jWlLIT-E+oQO9u`BQdq=10M`TI2&~RQ=-`%F z@=E`lf`IeE;&tinIBYjbC{}JjM9|J|sbSi%hp>)}GYMACnr1q%I}(EkO-*94^8` z5s?vE{nms_&IzwO(g3v8wdB?nl3i?|KQZA)3hXD04;)Z-={&WEjsagPh~gj{PlBpY z<;$;HGu_=v3hd>?!X>qlNGFy(KTT6w0KhUG2woXuoer-79~m$@-42Ny?r8^Gt>;*n zYz|(CNUy3nNhqEv9ycaHyFHhyN3wg|YVCUjI?dC{|9!NYw4$%f1b6)XmZQ%Ao)RQ0m$m(IQzkWMQ%KR7rK=3W!lj1|Gr4h|HbQB<+ zM6ROgJWNzJjS($myzvQ#52nlbhRJy}XrZHfj5@(X+kAszfLkbSYN)cjV^Kn`3ZIfYepdC(P{Hp^K9lr*ShasDLi?_h>0n4|Z;1R?x86BB;eQ9~`X}<}BD8UQhm@v4X zFbZbmi|9+d>Ccl<2l%cRF9;Xobu#xoCXVYZ2-MJZ>tv+qB3Ux$RCI3E&ZgRdgzJC$ zVt9V<#DxNG$xxp`+R@W@D%>|u{{0ivh?-41)x1Q9LoDQ1}CUFs4nMwXT41o znLq_DvgwZ#9LO7ncBH?^3L%q`cItOD9l;ocXF}SK!2%iDf{Q!2ueCjA9IQZZ8ZIt`MzhJZw@qcH{{zF=Pc;k)aPlJSWB^ z0}Ba1(K%u0@|CEc_*UdaWE=TDH5_OS;x|W|L_{hM)jEnvvL8iYT?3W_piHPCNgM|N zR`yV^AKPvya0+g0Mw5Psm1HXfqy1nSF+90#4^+W{I9Q2T&8*D5m;h z{f|exFmB74u1|RO9TY~1;S66K-*iqQx|1(As3b5I0NKU@_2Lt*Q%L;5-;rS^-}%PBtC1cN%(~xm$KY%cFG)+g z85(tQp>+>GwIf~!^UYqdUg?@|*>%7?neQxI7?KXM(_yO|Z*HhIOU*Jb>sF0Hvxv_x z>b~SBJU{^r*0@XAvb(N20nTm?xmlm@Sq&Sf%q@WDj{H)-jcN}uC(7j-3V8KEF}-BE}!5|2-+?zX1VG65}?#GU~hbZV6**+^;LC`xCx(2qD7 zNAw$yXzb=vnK+9~B>kz)%};AQ!3iiO=|XaN@9UDfLc1i>r@>5mccSy} z8JC~BCpd0DFpGTC=m?{E_fik#qyxiWy=!uW5L(=)rYjl+4q&y%L!b@`cJvsMNq1C@ z(u6n|9PQ#h1}QW4vyoMoyxb^MQ=;Ho{*#*Nb1H8dC^G0T+B9@PB25;4lQ+6M_+R71 zE{1xZ44}%r9Ah8`FHdz(sPDYJ#_qZ8%kEeyuANnICivqc*~62WGmFG5A>h%5<2^S_@K-`QbGDJ94ir= zlu4m9%e14#2~VlVeoJEBL?qiw&jIyu*tO8ZcR)bxV6(tl~m?DM+1$ZGdB~5 z1sn>CiJ1e@K{pD`W=J3R3neL!v`J=gRs_LZE#M8nivY_vmuQ|yABU>HOpJm-Nl4YL zaT|YJG_=SOm=EHMli6hlvZK#XMenteX(4bKk+<{Dapc;IGM06?TTFpxWzw@4-#a7C z;s7LLD2z@143B^6k$OWt`|@jZ)>U%)i@PQzIJN8YRykk(+h(6J)q6=6xB}KK?GzwC zTXpQV1`X!Lq_x38YWHjKzkQ)$d^>*5ft4!14JTaJT-Zp}XCbH1zYaRZCrfQ_Sac4r&`&8MI#eicxG~ zaj~urN=Xqwn@vM+860O_wX*<5gDIPhe50{rkQZ?xtX>7xYkmt$sjqRqS!g zdY}bx$V$X1%N3U^2*O-@h&!9-r!F7xT(lF;h6?kSI!Yq2H)Ph~E^L}<=-Fr(ro1`A z#Y}B+z-d{lW+)KqoU;wDQh|#bC)+qaL%8-KZFDyH;mB`}uu4V`@ z(>i{u=C09`4ui5+n<1hwVZq}S2w~JYXsELy|IHs9)ojW_yOT;cHLdufzQ~qf52Iv{tzwYnU6G~7 z*-$&zU8IAyso+j#*eGq0H2a;`Jgk}D6m%3c%hF@L+tEImb+koRJ1{}emN^7%I>RM_ zjq4k{3oJ>^2PSmi(jSdC8P0o~j1S-rLY$~^?m`-6y2(smXr>K8x+pV6x}ro@`0t%y zDbq2$g-lln+qXHQTE~as!sOd0KZajx0XO}zn()wEibPPzLS$?~ov7hW&n#Uy#?B_k zNYhEUuH&-ZtiBuJAW$0S-f}fQ!_AsI<#mbdZf!(MiOCHXcyWsl#ld>`nzVbEuUp(M z!)t(k6r`pDXkgK|j3Z~ni&DrmzCi(hhQ~Xc%|B6ZcK0@tQ6kTXH4**L3Aoy%=>%=K zt?$h#HUbR>fuD&?EOw>rX@74>kA@$1#Ma{L)sqJi$5{x2yZ5abdN%o5)^ntD_t@i`%tiltJElPMtg%Sy%~$y-PQ6JAyU;slYOWbV?~i=5~a z3y3L+3}>9~4DDw}H)9I4Cp;wvI1Bp=fk*)8EBSTi6@?aDH%vMCGqzK<88b^W9|yFq*tS45 zAa9AeI$HZ-X>(*X7CziKa43=X!_a6}%9vGsW`IT0A)SejEUg*U-QcD?w$;W>8!f1= zF0meISK27*p<=`H>#=TM{z#YR@ckO?AO$PNm{cUP*=X)A+I4~Xp?C?g^}!{R77cg? zD*3DsV~qzqtPNNpG1wi=y2{%lDOfewi5uosz+@+TCE;38rzz?{su6=kVhLm7;zrLM zv5*e%BdJiECsuZ7{&qYeNzwHzILlBisU{FJ(I;V=A@(ceks|9*Q5S3AL%hOZGl=-R z4XI^RN0NV{{b1-3^s(#OOborvG7R9ME@;zj>b7OlEX(yA9>jfikpTeEPQE9#1#dE> zree*}8Wk2q6p#Xb2m!k2M>k*;8&dTc)`z~?Vw_~i>I1bnq- zL+7D)y+CH}iE)X+EiO$pyDU8z|K<

      Q(n7zKJU}YZ1K`4*bLbmUU!bGE1Om6nK$M z>ofc67YK>sSJFiso43sE47qP?gA&o>FN4|aAwQ|Tl^IL|zc zBCIW1Q~`l3rjk0Wj$2U(quG0yKV(f2S~Io%T4&M0Wb;Tj=T666#jY_6-8{@KzE|Vx z@Gw3vqj~h&vRG%zypBiXzH)*^@Yg37OLIjascRh1(k5`1q%j;3E;(W>&-80Sq*KR3>d;GQ1b4DXg>cQ!UCT8~s6zkVzwpHuPj%6kKwO9Ob!PFu zO#N)WZQohYSXz_gH%<)DVhIEcDPQm5rDf_U3=6w};HQ7tnq%w;9BvT;f2LfVB_LyO z%2M|2k>(;Zr4NjQh>-+a0+|Gy18)VhESI{6Qu$>Ek7z)xQa_lAp8???g1_ME2nweI%bC;(gHC2I*66*1Q7a?2F+R7 zO=-%CKn8xu;kb_rco17om(YGOZtaehn`f9JxGKy^fv&NoARVxT-FZSXWmvzau52^2 zsV^z_3r951(*bvV3tsgLcR#<0A`}~b`2d&W*U1bR*8p|cvJChx%w^C3oQpvr$Oz0nkg5I1=oP zBd|5kU{;j)Y0N#xPE#a@|HYVGrr92R1pNtXpl=7Dsk$$aJdo|z9;*{k+b&cYngzH@ z9u0)COQQF9GvidwWJ&N^X$6=yRpn^|yOYw!?EmIENG~Uth(FUdW9DX+(a_RdozF<> zBAZS^I}#58?eoorr=L8+ z?DNeA(y$7nDfjsRJUC_U;SNDHwoYnOkjB`My_9i!vP#X-%A&fyW%0b25a>^H4n7WL z_KtD;xofuiR|{CJfW$38gu~L9w|g#5rhSVI|7uKG^TT?MrYxd5P7**oj`m@$3G{5I zE(NxYSTA4491Je7dh6dQ9{_PqfZLTFbc9|N|Bkw0iqu9y5LAmXr$f^!JDE9?zvk7K zvZn9P^BC*gon_~32aytbHv$rE)d36#8LW~tZ{!NF)la!P8Yyh540-(}6^r=0^}LGT zhZ=mu9PK2;AdDb`0iQO~MA~NPet@erwE_>&eom+ColsdS9uI_ZRMd7Nn0CSw?b*7$$F_r(`| zvjO==hI<8$KTI!-HJ(Zgnx-9|hoWiX;VW%%~@DATVj{)OKNw|^Z%E&fYt90xIOq+DD)*>)5f z*Ydvot5o3M|K?A>dmZ8!RKJ`QNd`Us{Vq zEXau*Jc!1j53fV&SmXbKFD5Rs#Saq>n9cP)w&$&%9I(f4=xE1%Gl0;oPNhdWBD%h4 zl|i*#LDtAMU|APizMTfmIgVzX>yduwcb|?*3s$9>Z&|}wT^~U|{Agm6d#=wjnHeqm ze5($%;mweN7|;=CG>B$e2HsfYSYAC3HHmIre(=M#Nk`ol*TFl!<;E*xGd3W;bz8t7 zFCfW=BNOds8%6+{8TN*k443NT%M(dGUxYF^1AE?B)gk6oO2kFy;=P4E$J)Fs88T}s zZQ$bJTg`t3gD*qg;d+-^pXuL$BGO^YrdiaNC#YS5`9-a25f-kB);Lo0SwC$LJ$skf zgZDXnf$^3fM+R-FhbE^j`cSv6lE-;6{1|0+Xw>FL5)Tdmc=0yM8va;{BQ0LLl`>lMtc+Ib3|5T z88s*70T-zKo6`R8e@P<(cZ@K@C*pYhqRF}CN)Mjd%*+iq53(fqr2#eATt=s6pyl8V zzMMT34Xmdved(O6LT+gR!Ao zj_?D{;Z$4jbOT4l#M9bY<#1f$D#~AcG9ddAq0!V>Z`RuA9qltien;NU4wRWRo)*rv z988m^^XeRWcDt33Wc0k}YhejEjch*_VbRi@qXh63WGjXAF|OcDs%*9$X_DBx-$tlo zI1H%tBBYYGj^>atwl6rshe-=Sc?Ju8sI7j%f>~I>^AtXQrGc(}ZP2 z!YYw50~bzoA^KYgS`I-l^_An!Wx05aBJCvynl>3fIq1vAP7-YQ;j~`Qo}98;OjaBQzf>tY7h<^p@a z%Gf7pUl+S^{F%OSJ|{7+!(=|M{eY!7?xc#MMUsc`=-#{B7&$o!6=7J?yW+Lg=WbdI2@>oLaxU2qL}m}7@UIK$}y5uR-g3Ne?DbE>NImY?*` zsvGxDUA{L=w8y?M!*M0klsv2cIL!Vt{Glp1l!AhQFYMmB%h}?FgA{;s3xkMc9@(6h zgUXeV&6Bb_bmr*nK719o*unGRh{@~o)!`B^k9&7)1+D!}y6S!S0MT)CRO9s2)5)2} zt-z|4H@D&J)tHUzvwJ?B?4biyzc+m{9O=-&m6^bNj3Wqa50xHzTraei@VSu$F!31#Ugfm%DVbSbBai3W6mD{B<3Jf*X=yuxU%~n9f()T+@`3fRnrZ4*74029z=Dc$L?QkbjfUwN`~dwW+!Hw9d}KcDNFLm@f=vIL;mt8 zo2__U2bL(RCG_TiaNjb|x^E54bs5 zND`J=gvaeOrfVB@?`cWV>d-Ps_lAOugP05{%{Dwce}wsi^yhQ1_M#SJx>>BzRhTvzBB%xf%@wL>@w|X z0L*jXW|kRm5e(9LK+NRw^PQr;y$m1Dajkm3n7b#b(OFC-f|_96r$+Z@;(hM^BHvLHx&-zf7fyi~J~mXBa%D@wuy z;Y&86!5u$wq7d=ok>@7{&9AEM6i`q-%uSl00j=dIj1UjtgrS#MNr+eF<^DxSRsbvk z1a`-s7vXoubzK0syRL6129EKMbS}j~49o$pvh7D!=qA4#WRwpHNDM{pq zNo>V2?&kc&O+19|$4L?zc)+1zJ(srVFo{CjirtXiCAs+s2(A@7oHFszBsWPYgE5i>&<9=|S$-T*)k#Q# z7j$Z`LnTLvXJGCP2^~8As94glV-k}f9E}Fa3StD5Z{V0(7pO{1gAh=uR6C#ag}{$I z^owH$UMSddh#Pcc4>;P?ry(jT$rG?Lc%i%E6m%nCNCz&)mnH<*tVyS~Jv7fj_&Lp` zgzJi{N0-X+s7Y~1lA*X-enC5@sa@Qr`?12X>^k3eoj3w3H4nZo=Tom(9>mJW1U zWrHVA`|@)}`GFSz?cqRD#{Lh6pr6qRqu?dS@6L%2Ql;QM;6>q-LZfO3%`fRMA9}=| z-_1zM&V%dY)h30Xftwf%v;#cE3wHFDLqO;0efxnrK{CLj)8Gq5Iy-2`K7l+GsJOQ> z2JV9w=!|#+^o>WMOc&35iI?P7c zf3y)F6wU4(T*c3T0&i}l1~iUmNPKRMhrH*PuZ!&Yj% zI%i}J!?LZ*mtRyIlXasP5Yu0ED($Qgm%R0sw2_)*JW-yjSv)01$d-|S;A?oUqN52% z5!uxzg@ChN-cZ%}rIMDlj+H{VL%wAS`Ni(fA@l{<*HHjG`h?9Egkp%*W(TW5);y*8 zws~hp&V%!2FaR5N>0mPC?K@Jx1?zZTmP-}~7=s3H?QK@pX+y^;vo*TQ!WKzcByB6F zQw>1arPx3ay3V+!tPq7hZv*X@%#Jn5X0-6JWD{Y?A^`RjO+_v%v>(DZ=0YyF*h_%0 zyDUFspLK=F$c()5?y+oLm@Hd&E61yiq$MdY*GdO`E<0~EQj4T3x%T(;T`<`WIWr;f z#V_-a>3BKu9q~q|Xo)N0dxM5d9MW3`=S;`eiNhftLJ%Q>Sz`YxaWwmueJ8~q*kTXf zWm4K8$Zk7id1(o)$CNX?PV7uy3%}dg0zbM=?OU_^PwhK7i67lcDZ_vHBLspY2pog} z=-M8DsCYJJssKyWL<^2h1$@y)(|?mG9J|1)svGeF#rs@q9{U5{D4dwI>Rg$Cfy6U4 zr=yjc(XJ)Nj=r}%@s>qf_vs)nUgf3bi^Ptd)_1s41b_-eG7yx|X-i5ikTl=R1~?ms z%ND#%DnkJA;*YlgyHr^ZPc+gl$^056&C-cDQh9}ruH>M7+9^>f1O)^7qps=>=GuS(F( zqza)nLw>Z8`u3!&5y#05A#}2EAeZ?B+$`Ed8t&rRwHCT}pe!##|d1RbDWqavK zSPfZ4b?jt0BsWE1PVgzU8Wt?hx&giYV)lBsXYZzfZZWHf{_%Fz6E`z+@E+||;JCu$ zwRo{&mhNEJOYmDx%C+7hV*gr7NDJ|D>aFrp58D;~rW%yuK7jILcV7OGajq01M-gAY`otgGex!&yDO^_!kG2pc7WZ#h$@fCxW}gm_x2rZ7}fXLgjEtk4ba+ z%J4}cKFw0a>r|0vWf2@UUX?|uzB0)ErBwbasT`E(+KW{FO<8o%eZ|mFp#Uavq89uB zd)2@mdvTu9xsj5} z_w1F#SV;km0?gjcC)PEf!5I^8%kX5G&Hi&R0hPPOW) z*t(F;1^~J#+09O(YB7e9zI53Ef6ET^&rtu2^v_uTOmOa8*nsik(5HVGJ(T7?trC}X zW6w4g4^6oCb6ms*1DqCaqRv2oq^u-h$eK8`qQnYg+N?-l*;hbZ^$|SFn5wa{2voJG zx2O~R0AR0vXw0Ihwkg7{U4}~afOlv-!X1hYLj+EkG!*jF(?5OvGtfUn{WCHOh07ny za~~om9svyuxI!!s>?`=)=HJO6IyLp4EX|gd$^)22z#4>q!EfRr`}nW@#=z@S);s}{ z6~vs#;P?;T8;)e*-(&ul%5y?+le9HRxN^n}+;vuj91$uKAyC#aaoLgM;B z7X8E2K?!~f@J~cpK$(%r2mDp=5bJ;RXYm`Oz&WZ4rZoZs4zuXI8U7S*oHxe*`Ne(X zN=Q%S@pK6M)MmiC2GNkj9h1Oln&tCXIV6p@ zwAj2c3mbRF|2(*tX)2eT3`w;9OePZZuxQV+#9}O7Ix=w=0-BB1x@7WSdtg|?yeK8* z88#uQc0UH8X_Uz|dwCtUI+$`-V!?e9q^L?fXV;HhK4& za0dD@H}yxMqrTae5_rV?bWzl5$1dqx8kNJXhW(Wvus0_P#6NbCBz${e|4PoWZYk|J{iyll&lV#h;f zctqgoqkX-bsq!~6Z~HByLNGb*GW)#PvEr-j74%bJFCMd7Rp%zlFvYjB!-)Xs2&8>eCoUcUz7tV6((JEpCijG_+g#&c0v!HfR5}wE%w{@jJcuFMj_D zCRp%+C+L6kbTsjo`7`{cc>weeUUggC2B+C}3pRz(5cJT)T{-;^f z)B>alBy¤N?41<;KLu!Xu{j8-ru!ciXx!*nM7%w)7*he5+=vG7^gsjYyg<9iN{ z)#zljE^rqJmcr_}mNd>FBj98J5a0KTHuINXtP;eWCNUxlDBNIy><~nRZOK6bk82%h z0Cp!fVyhh(2a5hfKeSKk$kiUo@`XkLKnAJw`9nJdAYtJG0FE3){?TrTCX|B{KfaPdUgL$z%Yi$G`96Itef z^3$k`l!!KQ2_V?Y?u|%Ggb08qOzXS|KbS`kobzYZY+KoQfh?9)@I)JgOb)fYLd?0) zJ#L}s7%ynf8(uVCAWKN-hhE{CSR=(9>W?|oNa0a{qb79}2kJIpzy6qOi9m&2YU(TH zM|MfQWI2Nr4gw~Snt6=?`I56wH=;u{!9xpYg@Wp$;TFL*-z6qRwxsoPRuC2#1X<4hn*<+`yyN`tsKv*xh<0q+d4QyiH}mif)$ z0K6!b-altumoMhTa#S_g&h!hwc3QH&=MyAvl}gPcc%SZzBApD;9%Qr(o{55BJ>Zz~ z%j9x)3f}`e#?V$^`2K9%aD6_*W}M~AD>!DTd2b(?=Hj`oF`any{J@$I!GM2wgsb~( zj%USc*oH_MsXHjfR;_7O*=MBUoM^K>%&VniTqa?LAI&>)L&ZO5CBnE~=|y#fbLd1+ zzHkL(D3d5-Dy4}<+k$W}!QsFtyQkIRN0ofOQ8cU46n8BaM)Vu~_T&!q3V)R^dca@Z`n_)+vWwecpy zw@D|7G>tsqHU_=bxS{D%l8EuEU@v+`%h3%5oeq=RCI{uXF-x(!$e6itTZ;gf1V|t; zNOU}_a}h8x^U+&(Y7z=aP9#7z5vd6=n0O0x`w9A{3tVI7o~qsI1y3GtrP7FhM@yFASdM5f`Y9t6jumT zFLA(~379t~wVTx}v?KyZs>W|TyniyE%akk{HcLrYA536W@B?={PZtmGy)+7uq45jy z&8kq`0Hn3lOOD=aNq8M@3jN^DDJ3oh8v<uhh~BVeT9%4by1kJG?uoMSrH9i8OZzP@F`l9HHnb})vN%9i%(k`E z<55+aj-psBBG)RibFPU|d6XHTM5s^a;=HNLD3OHnf;V7WEZT*TokhEb#Yq<6Vo(54 zK(4>tVBG;UV4#~j)A-9on%6U2i*=1`ORBO7T#8!UndZ_Xi-&S*m?P5x2vczQUL=mK zqTg(2WuqFdamx04KwPx#a@OJ+zrfk4mzi81rI@p;9mNCGCT{?7Y;?e%+2l{KSZ7W0 z97{2{O;O8chcIl}G-23`znOA%M8?WRz8Qbh-$-04Z8_&HzgG?1xmke=X;LiWhd`p{ z1~^cl2RX6%HnHDXY=fAB+F{mDZ0tdshy<$xv? z7BBH*7zT@r*5Xo8d+-iyB`hzD-dXz$>g67F1OH6|j%^8;0|$o(I~Wu^vViQIcz!yn87Hoqrkgdn~u?%;3= zml|;9k`<%?_k!E>Q&Vqyscc$rGsC6bM!<6b&7pQ2oL6TTQzGfvGZ6NQwryM51{r)v zTa#q5r3XfJf(OF^aV-->BvcZi0Ej|2aQF?)9m_f&a1+ZBxpX4I>xMP^bB5B|1D`&$ zJwP|)s0?*r!!+Yivs2N7d}HEHTNLFQE@PgKMR7nrN&=0a8tLdo#b zK0eDZkT2}FW0B?XFK&+Yc`VDb7i9(fS{&Z)61)X;^WGO~Qoco~c)~qR2#%9Xyo!R_ z>Z(h4gKE2eds$B#+SQKcv8QgPO?*PPT=q-E@3Qf=+ybUNXhVq%i z(yEq&n;sY~yD|4!2mgy6ow91gwk8W!Z5Tdv5bgwX>0!(d$Bwg-&Tu&3i{ju6-YZu9 zFHNESy2|8|r=#hk`rQt11Or%@xh%{!To1ry%U(k4`6k2cIpegYu~-$gTmw|v^;{hb zblgRWw0=G2tywmY_oeofsbdR9@+v)CkN@Xw8&ko_qF~yiJSH<-HdT%ZAO}=!pB3t= z*baK!dvn!fhCBk@@_X^c$8HJAjj?n$T$D~*jK{a0%SAfw2m2b0;xk?hs#P`a?#be% z=`PzE82`!lbTkjy)Z)#eHd(WLVexJ~P&)yT`y^Ktc5_Uu~_F{;#&CZ_^>4 zZaVwD4j z6<44=-%_I~bqXA^*tSVOUDZ$E%uHrbl$M)s0bob7g0z%bAN(Z^)7h?ILJoP#SIj_% z9?oX{DPvVrX(=9c@qWrc`DoQ4d&0(n8N8n%XQfy{@CgL_8B8p-$6S=RalF4u{?OX> z5SikBq}MOTXWC_O8Jgq0{)BiH1)TZ}#9~P-8IxH?#k7Qd$ysRyr9I8OmP4e*oD(XG zqjQq6f(!W?7tB=!Obu}1G<8AxWZQ2TT58O19xk+VP={_@`yGV20}9Mqm|SE^(?6bY z5769@;sq>41GoUQT=$^)5mGo@Z>moAq0g)OUem`{xRawY@$ zROH>5D}!3tpASzRABHE~q(1y;&TGs1y7pl4s$;R<*!w><7hOL{((ECo69esxON|XiZ5c{+Cj6>n z#mz0u7@l*~J+sD=%nf*D9#zQ>p2MKS2X{<`9-;CWX6pl;P8o>mVgETkM;!9>0hPcE zkbC5K$O4eQxh87NFTq?AHS*g)HxWP<0?n%(S8Qz=r$wj%VG5*}CWqS;u zt;?UGrt>^wxU;I??`1JN0!?m*cNP`=)wfjekrbw%nzJg*r<(s-ZNd=IoVqqM6n2^b z+Us2&*3P)%sHHmuah(*!*^Kw+`wD`fXMee`RKTZMkF#AWFo$q=`AU}GbV#cry=GIW zXPF4Y+@FsJVhDzANiZdj^{&pg>qS>)CGHc7`C^abSXaRX;lxx0+&GaAjd*+=tIlI0 z(@--kEjOD*jl9)fO9y{#(uyPX*okaBd(kR4Jo6}M#S11)&Z z6n6L@)!iZufzF}g`IrM|v*O2fyrF|Gt81U&$<=l+nIspS2MnKcaja{j$XFrUlO`W2 z7h55Q9FKFbuWKZJezrr?--)mF(Qj{q$Z*s5a(LS zS9G)(u|@h$$#)oMRnTEty%TmzDcR)g_4;5eJ z`kv?U8OICUHD(9QDzi63c(;z!!#Q;!lxxWzEwjh)WWYiH**qi0{j2ZRANFl(rcW<^mjBK4fS!H)`4E<$B z7%&bX0@f!HzA@i6ruN<)zkoZ?zm@++`zMl!sRtv6ZP-CVFq4qXC9u!DMGFwlF1mQv zc9T%=Ka%-xkR`*<>fjk5^|?EcF|g_JXd*Po8+nj5_)~L8>c6)m3z*Nj*@7PBF|)ps z=LUJ~9TR%*19;XKi2kTLM9FsmNA4u?riRr_1zExSAYdHuOg`Xu@SM$k+>2HEO(ky% zoxy+4F8enU%^uvX_`UC0!@17!BD77>;V^%cH}j$H1>it+&0+arYsnZJ9oO{ltPlX* z0EUBCS<^|jy_bV_@Skqfb)a+$>Php+%$_eA>Hd@ z5{R)A3r^=iC<%n0U}#rj{OJ3?rKgbLQ6YYy?dokvowi$Byn{~PE*=1Y4v6(5gQpdjO**gZM3~V-+ zy2p(mJ7iR?&cTE+2Cl&Bsx@~hRgX@cLg^SVhoRVMRhWvZ&?tQrOV!v963q5U&q{;| z_lxbz-vjwiUB3KWDx_m4TERcca2Z5XQIpo7`3laa$GWSJL%am*G*raD{9Pdz+BxPz zeJm7E5&*ZrZ>$C2lbK^}hE;&uh6UcjJgERK*l%zlO>H_$Sifh#nS{ISkDk_avQ{@F zGtSEu^Z`wfE$)6>4L}eCZ%lR^%Fc}CK&ATbtPsQvweaUTuAYD4gd;3d;j$UC^eirp zX5xJ7(M<7m*S_8vV=|TzQZ0pN@r=lYtl@h#?vZ(A15(#3_-X;Fr#`MqSR+o%lS(Pc z8`$@3wUy~vTuL;&#T(E39q4M;YVaDX)11vatbJfwQ4G8Wr3E{RhW7etZN}WA{YA`5+~eufhjlmyz8@ z=Gl&+NzYs68KH#y8=cgfbV%#YzTMF(sm=5(zQN}qi8o7vwO;a@1|yWqype>Cvnbf7 zbL;q2=zRQJ_rw=hL*bOcy_W$`PI-%*`lrs~Ey{pBecZt~Zd6Y8sVOtlIt_h+$T&&C z7-{%I(9*`QJ^6aN!W?@4>XR{xFIm9n!0^=t>A=8jk+`f(rwf)fg(~sX;O_b({(~Dj zr#n7Xj{p%qkuGN*(^E-5^+;29z2%S4-xZk~2q%9B$8*W)1&7+|HWmIe{^Wb`xnsY8 zZT=*-a9XSMFc8t2nrMy`)Lkb2bNUkvZ!=lW5{cEGRmzCJ%q^PM^@&D2V%t&9MxcLi zJnFttkThm?Z*{5;IKHr<@FW^+{2z12EN)L6O&fbfJq)Wr4XlhXf zcQ3yA(7%wi_hma|ZL{X(7s}kde4XZnRe+px2jEf*U}DNrTd?+JTcaIeeNIh{7th<` zs=9+iNw%H;wv>dK+aBtZ=`h|Bod&Q9CJ|kaSGvAaY5wx73f@PgVdE0)5xC>=BnS@D zj(b}O{PJk4XC^Pw$`H1qV6p**k=@-9F_1UxtZcPvmx(m8&`R3);e3vxZJ${mda@A# zGu4ziL(8-X&m2-&;gp#l8=yPV_*^8Gkm;Hgy62XYI^W;g(Lp z{4*Jo5sz0zhkLK~<>#bZf=#S8A9K?3s_fbFKP`z#d+%gVrtH43fw7l34`og#44KJP z5om%S_fj$~%Y2U>_wVFwbF+K-6SJxju*cxat>XDICikpE-nE*bF702wCZlXUz1(}r zYf|w6p9Wp@M6Sbxwz>DzVEh23OBSKRRhpn z#vxs?tsoKTy&|S%sIlpuX{}IpTop5AGyWL)rh%~OY3CMjx`D-ZQN0=U^sfg7P1$1g zZb}C|5acyQ;;G?n6A)EQ=ncz*4~`owq_XqLzpnp~1QxT=T&JX(?K&_ii72^vGqsES zT{){{DtCk#r&Kihooj#GX5svP`oQu%?yOb#NIeaul&jwUTkShg|^MeSQZ= zcRJV!J^yq2H+rRiy#Tnb-=%x6sd06U+;CB&t8|l`fAXVIzhin44kyP=hy3O>!*4#^ zmI}?N0wpAlE$Hh4Vvg7dT1~0iVS9~+{ip8Bi*^I_lQiC0uyLQi34b0Gxo1iUlmG6-xFfYa@zY^ z)zr-N0uk=imPgwCs;=+w3Z+<#AXm0SH)L>A1nso=%s}Hyys>7RjI?k}RfZC8!Pm#O zuVVN1Cf_njg19$a7gZM*L=uA!>qK)D^nfZq*2|ts_(m$23%#FF*K6?ZNy2-At(1Af z>K6VwtNQYzbu=$z$|k|jkIF0_$%uMnzKaVpk?`Km9y=9#C-GBjY#l*N3JOZHVJWf7 zjwYSo``pbRcXNn-ukKcMX-$K+YbnN<$=dhLad%yRe^0x-YGJXtpXYKqXI0`#x~ zuCi07xBUrDKZ;ZhQ#&o$&aDM8mpvCX>s*8SVkzsC+DK5*TqdU2WKv_NB4`s4OFUV z1(h#f7izy6d_D;vA%49A*FAbA21|%6&-)dbuj*knv9&6kmAAfL7BB?4D=^QaK4 zNPP$DYJvEkocJd>PGlswNZctnoR~O;bsag5zI(PvW2iCr%uR-SIUvcClhT^U+s3McZXp$H^ zMgrIfzPc>y@-u2G5g0g&i+NOsKM8e7C~kQv8EN)3qKCd^0@qE3Zo~s`%@OIhhiZZe zPIF*RmjDnSyV;q_aRP%5^9UC!aA4eCRemw(=ww8>Bh;+JM6TGuV2n4I^-4tj9O$Tq z=Ace(y}b+})4L*T4;Ijb4shT;T-xP)m?9-+JrX7cDFBJJ&pH#Zx75*Dk((S|i9m}K zuHkKVVMqV21G9RS!T)^p2M7jX(L+GOBHWXtU~cGuc6?c{g5}WPnqMY0V$i7zm-|I#lJDMkft}|pdaI9Bz?CEJzk!+48JgR2|cpud)h$EaT zZ$}1PQfHwC%s9Nqh1ywNb^SQW#yNJi{Y)_p-cU^V;G!58;jf#9=G!Y%Yzj)Sr|c23 zgJxYG+R0j<0!=uq7i#}V?-fq5>Bn-ed^u&!(O8&IFk)&OvrG z$@W~59U-uH#}6xJUmYvN9^W0jJG+n$`|xL7f=LYy6L`;4bp^ew;iYpX>o@!4l3(s5 zjA%EA53t4k&F_Elg?>r^OnQZ<*^;`u-dey7!7~Cbr3PPi<2>u74d9OH@EzRv%(s0- z9R^6_cUF4drRIAMZ#weiOEVM4R?22q13y=Wb}Vy75Qg%s(HsmQKH+BV2pk9aWp?S| zNY$vHZWqM}F4-~1Js?eaet7^iKK}SA$l~!jG6?-hQ#~i$wLQ$lS!IVc%{PX5)$zkY z)-*s2ZeD)QkL)7g1mq*?)JHt2)ld0ve*borj{JDeFcuoQkH+>RN3uZ`nlz`Go(@lM zWZ*vDsxp81nw_lEmtVl&>+@wgcVvQN>!8{#O$Dnv*5=!7%>-Vcmq*0IJHX%7a5MS{ zm4yZm{#AV`1J~8Z3rA-oEQjR@19IK(`u2{z9NOZ7)QD_#MPf714S)<5VIB0#;u+ZZ z!2r}R=#itR(EPP)PI}MrA}2%}RkOPGYoWVZ4&|Am{o^3M zPR{qe_WKEN%#C9EIvFs)8O!3mi>*`Pb%_pB+r3U&)*acQ5DKSxhA0Dc_!FYy1KT$K z5v|SPg@^BtO5uU$t0Z>6z*Um|kZ+anq2b^P@E}kXfGfD{8Fr<)@Q0eSVpjun;!Fz% z={?fDXDktSa`OkcuhtHU8W${(!jjl5%8C;0{7w?XTfH%5`sb))7_KA^xLum+V_ToMS$oF1{7!PCwcM7hrfggG>`Rp% z%8a+LP50fz#sPnViwv@V5ZekL`-7nG{kcCj{`DUWjNG7QOJQ7zO(@h7!wo+zvWE6z zc}U*YN5FcOdDr$wm0O#l-;(CSPYWFBVd@lL@xwoe3d!y=>!Z5#n7veT4n!`*lhNlJ zI-+a2k*8y_=6|5ZJhG=9qM-9!jN*MO-nRWg9eWc+Y-*BqEeQ}XMQzcENCzD@=W|`` zXamG!6K%Q~WhJfn$`thSQFubVK!>QQN^DLW`1!E!trl74&pp+ps!LR@%nvn*KV~G12|lRT zM^R)WlsP=bXf&vk6$wUd=uGU9jBWjG_L1sBwMMjZsi-Tdi!Zd@9nl$id8_@Tk^IHT zb^n6odVdje|CT=bNEuS>o5gsrg(Vi1 zjI7ADfJTLv3fNqZtG{R5DPW&Rz7^Zo3D}%qDEcU}fJAjALB98v-`ilpn$9;)l+ePZ zy(DoKiG+%mzb7+?0|Wh40vH^gi0~6e2?v+nJdF+^79gvDMIexAo=u9na3vUcvGi2vuPBR z>MfpsR~DN8fDobxR|D{ffSQ=Ka2?{OXR}aeaU`NG^qlYED-BK*)sD8_WRQ9fz($SW zQu>rJooOd5SRmxOs#TMb{Y6$7o^2Z_)hunYPrV03Dbd8lqjX00)Q%D4pv-pJt{+&L zwcrfUY{!e$J>ms>i))dFw05xek`>iX@}sHYa0-kV%ykPg3PJV|CNoRm%JM274a7w= zLo5hjHR4D)!|1^Y#^_t849sc5ECug}Vlo3~ZSxIUbYwtuXw9B696@`RVs{0kVV>b) z1O3u%agYHeptv$8At$z?&}#b=gS+B@Ys%KjXp-Qal2jW(wuJ3pWMl}pJudf`ww?C? zr^YC<^z~&)6Sjwgg0y1O^l5fAiv~;#-6ObXipiAVfWJ)-h^AIUuas$}*cX|4gU+Q* z4rfrVKrl&gffgGj*0!ln<}=KzX)umSK8pJpOHrhcB z-qF(jWZsZ>Q;s*v!A^cvo7;Wzl{rt~jQ?X)W04WwY!Qcs0JjR&JY_UxsjkZsB&gDr z|LDMsm-4cOytdC)bm z^}P2G4Ann&jTO$S?CBv-zH_lyN+1Z){p(;`P-DLCTrV#eWQe4{P-jHvM)0%{6_ad? z+T5RTzrw)O2&?5pjwJfKKlFgdjopwxv<%xnkS`YfvKrn`k9K5jvSOdF z2LVT+^;|Q)@~V>izM@0Itnz}v5LbWRYC_E6536n>rJD}kgNbRqI4v# z_G!s&NO_k!`2tQII0#d-X9Z^hq1E6aOV^*im$DC+7J`LdhoL1w&s%;j)8$ifKU%NEBAY-%al3#IKtGQAJ%%(krSZeGU`$X+J-R0rCOL9UhW3rxFv zI|pAaK?%;rH5GZw!UTOIi0xdWP$KNANB=l`4Y?DXTSiOlWMDW3pEfQbJ zAaWBAYS@%*tl}ITtWo(^n&t??Pv8c&1N~}3p!M&TR|u^-ZVr7fVO44Lr@GUJX9;%X z>ExhgGvKgs_G(bPv_5a@3-ScEo)00d6eu(^ke(sa3`DTWwk^k~7t$ffX$QW)fE}DB zFQ$fey#RRtsUbY4JRWS1`jR#qJ08@mk?RD+}?d|3ASYLKf451G6bJpLShASLG-y9 z0?UMzos#4lF^twdIbDw(w1lz%7z(%SD#)|NXW&1s3ovvH3P~uc34hvJU{7 zc+CJ1yQIoG-iYfG#uJo|8$OT`{nmlN32lY}Xp&@sq9X(VOEC)+9h*^fAZP-haUNV( zs{+NZ&UN`Vu6gwz>TJF zT?D|phWFf)vic((cR-2LmeOXhJ;26V|>(3H-3uzi~80Qq^jTElQeHL91KG-f43M8a7B!yP!t}c!Xt}0IG zy9VPs;*{u{EnfFBkX|ayqD6_Khrou~06+Pi`2OJ0u0lI5Rh7B0RN6j`+)HACMNr4|WW&Um&ww+6>PFBtGydK;F^WMDVQ%?mn199Z@iwVM!$uKatYFFjJaLEue`9AO-z#Spi{A}95t9C=m zJFbU^OLvy$KQMhf@6*h6cd1MO(^_p$n*bIOC5jMS;WFVRJ4-(1KzX|KmA>~r(tgU) z;)lcs=qsN1xDV)?4Jk)YG;7*|7Tb|KAxIwV0C226Lf&&wDCOoQ!&_~kF71%UiGi5v zF^ob^<3bxAO_{uH6xAIB&*LL;D1F;`kPSPH-h~JlEtT2!lBs z8l82JSzn0i87dE~vb19p%=q%tS6%($9X#)8;KXAcdUElj|} z?xwqfom=k9SP=PW8Ici0v|MP4(f+}~H(c|z5UL)@$q?kS#k0;qb?KVIM@x*206q*f zHhG%~(~UB>H>L_Mw;7yc&d#HSBu0=hE1~$6@)b93q-B*QjBcAt^(BU)5)DfimkpX9`o98yBzIfF+iCU(NC zJMwf?Y6y#P|Bu6|kTa(&Bt0WHxbxN5O@x zhEEEh%s)@ok|RhFkqs^`2-<@@RTzP_x`yvopbqJq&Kx52@F~EE?(P!T{jp*i z(#6C^7$bI!83+zw4|#1aE$M=^h{Pbf8QhONCuz|JHYp}dTeT(4L3?KQ*x`RnCdYoC znSiRBb*A>soLcYN25##eD>o5uCIN|PGyeJxZN8cV1K-Y6l4C^dbcGJ!n9#n(`{u6b zSLM*A)Uj9M;2}Ayu4~}25CKnx9NJ_o_FcZ~i&v(QNSRf|HzIc8MG!W-|DW&(OQ%x3 z+Oe`Ce^!Vbgr{}EVYP@?1dJE|Jvf2dlkCv=4@Vd#=B6L8m;}rJ8i@&yPZ7cg@t{Z* zLM$BV6ROP3x4YsUOl&d{9B4j!{mNc!CXgmPkigH8EVArqwq@QO@V#pCXT)x?QU&lO z0K^A?@#cpz3Fae(!0N~rXaPva$_`+}@v2(Pj&w2?Ne?08%m~=6(6lIgJyI+OVmf|ob!QrBn71gDYBy_Mz^;X%D^RK%wcW!62U>51mulni3if}Y zDd+j4<^}_RYyJ#qba4lVuE!qSp!UJ1t*Rtfj>sz-e+AcG>%nX?^?l=cHrM|4N#5cD|_+uFWo zF+AfS*R#O?R^=bfwy!3M@nwu{!zLk3Gk(S+!T&zcwJ#@q zBPjL**?{Q&x^FXvsv^r8_f-I=#hmRAHO(B*e4G%8Rb$WOpx=YJy;Q12fFYnnHtC&= zPxmu2X3!=@urh-WEo5NDWF?NPsc5)D?3MzYWiB$7`xYAQYndYFZc(pgqg74W{`2qM zVf=cH%1gZ0one8&&=;tsD~cMy`!-z3;mvaJCIolht1JxWV|bD!7_%^5mqRj!v*HQ9 zFRE(I+ah2+vxsO`YNQwIXUZTePGlsL484!|H)_s{2yT#+#hZ1Hkd4@%RV*(W}H^*V~)s1@E(`woq8Vpe)Td7X)3kobBAwI!_Z}5Rf3+joiI(EXfyolio$VzaN zhu9Fz5l!!H`97}QLAGPL@q=yfG_axl*cR31!PO5=t{>CpO`QQ_BT60;WAIXF;VK`I zY}bPC3|HdY@2|}LKS#I_37L>^sAqFJAcd**ls}Uy(jM~>R^NiK`Vm$Y z?QosN;S?rEP-;JFrVlCMG6M4r67*voO9&C}b3WA2$vYFupK4&K(ImkmL=FxBAZ>_t z3uhA%kxU|dGDkF@AD%6?RC+^-35UqyzM38OX4%Qa2&dc#6Sn||MpjJL0#t&zG8l40 zRhJT5N2^L^>BXfM89ZBs*3hO?iL`-A7sEm}G!B#+XeD5oBlV1bwHWvwAnlDca+GdB zQ_68XJQ*@Em-XkXo<~?;G*#OHfCuT^n2LMNTFQ1(Lq)?k?qVGo$pUWxo4$k1FAkrk zH%Xy0=chEO*&9GS8nsV=z8ao6<+sc@Lz-&J5ynDhZ>kgCKX3qpzZjSV^xwD{>}W}E zE%pKnh8%c&75qD$qbGgzDu)LBa_li1gE!(;ihXa%+B)F9n7^abq1j)A&C6m}MOV1I z^!J52TSE1PYhEr??cAHWxnx038*?LC_&eoiw6kc)->~MlSxNp1f3-_f_td$O@k z*Ke2D!)Qa>uzU9Z&)d7i$da9BVl9%A1_2Ljcov>z0D(*1LbIzg-VqIWVZ$4*Y`}nb zhH)}8Dl;l0GqU56d9wh+BXR~7GqQI0Hf32Yi5iNOG!#dq7S#<2-b@o1%&IZo zOcM|W@X8DC?Em}!bK;emRk!)D#I9SFdEU?e{EzQzb{V*YGLl`!O6KU6wac(KwG|w2 zY5yXCWVOn52n3LDa6-);%E4Ap(1R?qLuaRpZrLSEi7hB+JL%(J-Ze(=%-_?Ki&~1< zj&={N_gOn4P!1@k1W<{x+vOG>fWt~6XpZN2autepGG**r7=exe5p?sMF*4wcXiS{+ zE&QaEbJyzm)yqd$11A+0r+$4@bC7JPbB_QQ`inPvBIAH|PqRfoC=VjXc$MAh8~H*uVKo zzWU(Hy`fxEkYq=~M;a57x`8iB_0!_b@KEFL{RAdPI{8bE z%_ui8Dy>F#(ufVX7}&B{p$~h-eh3@&pf+o^R#FlYZn22-1J>1t?*Ti7VRh(knoCWT z0)x7Pub#as0dN%Hw;Ru}yoBsyNYsccLMf zlQ0hRzZuJA{jT-Bzw^c$xuAcr%B%~bV-qsCZ{?Xvq5=+@>}dB47xHHT8s)oO!%mG< zVn7RGJ~Egmv+W)jCpv*sw_qYW;{d^tMp#ans z*rVBrzWZ%l5zPm9r?iCh!&b9aCl-hGzvC((^JT2h5X@nAsa#|vYEaJ+`;GamHG5nj zA*s*Q*DKkE`nFN6Fv-Ie8kQSjLr*SO%HOFsdZbi=) zASVs?#lV?#R5(9Dji7k7=q?u9Y~n%DcZFKf;NRU1wr~N4v5J+MW)B-gz2VR@Dg)f~ zN9VzoS~qXU%{(d)ZH#8=%DOKX3%X=>jp!hFT(5S%$=T2U*}c@q2AmyU{a2%s)dPv` z&rjK4xdKK*k6zO*YTowdgJWJSMRESjc{na_usgnJ=hXoxyZke0?5+WS((`Ng$qELe ze0{{}wVUrg?YNAp=?47T(9;duU`;>2Se~h-VL!AvFfvAejjLO!cCju$ZI?RKyben5 z0;nFNu@v=lSIVU5=LZPZn(~JjAeIbq3JlMWt9y&pLeGy29Lbwph{$=jb{~w3TO)8^ z-w(oCl>&%hnZX*5xT4)cjn-;zeZ|m@ECA;M#UNmGa!C!)=`3^Z@?vW<-Uj2cAggHi z@F6A1AA;*gmVt|)rC-+aquc+ zO>v4v5J<~l6&d`NfZCZc+sM+^Y43`hWGcFb=>%aBeWCWyAh639d?^r%*K4oYV@FqS zv(-5l&^uN`NM&L=sjXS?idH~u_wi+}OF3{!ZN*OPFzcoS&CB)U>~@f76>9)7#5dz-F*+hGLRN9Eo&Jepy zm~7cb$Qj}Ia=kt_2OP6G6xeCk!~`e@1B!L3I>U?Pj$_4bO`rq={vtckkzJHq=#&Pd z%LIAWe{S4H;bjI?c@v*0x?gc(L=*x|Km~&{o^+xcII?fuoIS~)EQfO}-V`PFlSor< zLj&qLeiTaP4w$uB04xmd8GQ~nNfVgjq3`otUvg-el1^m=Q!A?vbZzEu(b&EXB`4f0 z!ppgzXl#JYAv;TWpEffM{@c(r|6iYbD%2JBNV^7bh9-Wz68ow(^Rr%~**z+bwwUR} z`Tv#H@Cx~GGV{WC91c4(B`q_$hjSP;N)9Fzn)#Wt2P2$X*b)-8gf|CYs!klZVLA$t zb(5~JaZsZPO?1!N2^KK>)35ifM3g z&=G!uabTh3#d>+1gbg|IL*E-j)^`0GS@N~2;D~TjDk$i+>ZV<6(R89PNZmoqt+9)N z<)dhF7>?{p2``$>{tLdeNh{}dlf2LyM&Wv<5bX%UCx(3wjNz(__;n+PW&#u-rb&@B zDV?#-dE~Y#W0iqZwWhOIs}C;Eov?5weh_=3fZeWZ=J_`auI9;uGow-4j9L{Sb{cW3 zuJcy+|KsS~u9aQvc7-#OI_pbFG_$Y@eXPw(H5L-nXqLoKYWGD&PfckdA;|!FAM{!1 zLTMtBU=+&hUt6wlWuue-tdIx;mxSZk-r3c?;|tTNb^tR&7IV>&A4Kse)Yt8Mb|E}l zM=?`jYv6}eEVPfxOq?)r6V|!+cSmr2TJ=8iN4;crGFtet>stTr4FFr`K&@jjcvm_{ zXkB4w%m7jaPHO$V*v55K+Xn8P3T}dM0vEr166*bT!i3JS4PqD~_NB}l#!}I+Vvzga z@dBJo61>pmG>IM0f5#8$%n^@MlP&DOPu_8H&YQpC>JRHy@{Z?O8v2V3;PUZUQ$e?7 zAFRiSjN+iZ(Sa3UNm)Ug+&S)zZ9VZV-HOKokpls|Fu+s~E&zLTRGU+0AA=f^mN=4= zWKbb_1pLlMtusU)u^$#Laf5y&e2jKp3-2}MOLab2P@GM^B?0oFGP3C_q9!k(s7JM7~zB}+NIh;zf{)hM31M=v_#1wZYKf=GmxS_Wx(47$3)MN{obb#s8)`*2H z+SLbNu3CGM?-{j;L`ZOkmQ}l*%gIRv@xK-rGZ`PN-9vsIR$BvfbE8=NX&>g3L_dFel z!qkQeA!4{`Byf=HKC*9uoz=9h*jJk=7ij$GEwjw+{!e=EE&u?<;;;RZMfICO#Z1;U z9sygU5`zLvTtfclD^HL5Mv~E^tgLN~P_o2|ks+b-@(eLa_ta9|5Z5$BdOmDGIFzwL zMV*x`#JHiQ3qBKY(onhG(gs|t%S~n?^(fyy14ioo0VSHe0h<#J40@<$(GfrMZAxprroski8?fOc96?n zkF?uQ@raoqhLM_<_ueU`JFT>Zr54ZB zXZF-Wm~VH``QWO;T*IZ8*&Zs@E$7iP_G|-33@$fBw$g#H>i9u;4(*ru&A2wbW){FN z%NUQVst^hC_+GWhOJgBqF@TDa$I)o{#yWmms$~tm>NXFrn^Aq)vSsFDs_BRa?y~*x zJ!%0hK-fh6OY4S2P4>!TMhQCM)dp7SFM<)KTr5f%LIe3FfI!#cjTgq?$V;9$X~*l& zFd}c;$3H0_usbr4H1E^_*sJr$_jeEsAHQB@5B54IfofHD=dRw4)05Y9IDMkSlSbgr z0c%U=hlNE`o}GH*X&mnd*S)q0)&P{4ErHJkff0>x_vGhpW#Y1_2Al~nQQMdSVT-5`=yHbPdYr? z2iOs5)B${jm6MAnHW0E|P`6+51L8(+cm20J>FhvUKp&Nekj9M@#TK?hBKfbr=P8ofwb{!5!b=BFbJmekmkDM_i&E6@vpCV>v za6#G|dSx!wbX$l%ZClp*Qan2W-0|{6r?%x2{aG;W7i^lfy=R3*uo2O#L~AHPl$ zT6Bki*?^|1k=oDWpx>+>AJyZ^8hHLbAk=ZE5K2RrXV%gOoARiN#lvYclCj3;%~)yY zIV91N%!~0m=D?I-q=obTNx1SHI-jO`{PV56*KImc6~N^5M)1sDAFP$|W^&d{6o4E~ z(?BSfW*Fa#^KM^UGqj;0tM8mim9}@`nDe_^(elmO`%9f(wj{>Zc%g}k^@va}cXS(1CRDCu^ziIl9hEE++B{n^;Igfa z3E6hbF>Jacf$5lkUe#={`)LXXc09a3c4hC%0HPaifLxVu+g1zcd+{72nH4GqP|=l{ z+}5lEC|Gooj>=>fKdrs-CBTAhQfs{MJ0G8Ab_XJ^9%6B!=gD;jhJ5ABEMct^($C?y zMr*PVUySbWFES96+ZDV<15XaPN@maH@(uXms$4SR;mf%V`luTqvg4N5VMvGzuWNcO zwIEukb#70ii*_+q2nKiAO3GUWgi|A=K#GiYgKn$ z$d-CxqT50AR8!c(Vw_Q_;cn<&HS?O@#ul99w~IptKrEnDj;Q-+IPPgp8l?x4Fro7# z4az_WCR>zfnB(Z_8TALXddwhGpO)}B{^CG;KN}b8IdSM;O6OTnuAEqb!xKj936omV zGF5!PVJ0Y-s^jNYc5#}PxO_M-)S*aMwF)~2Y(D z%?iUtUj2Jtti>n@*Nbv!QE-Gk_&swx+OcYBGvqZS-6hs>MN$|;n+(c~pDObN5q*?C z^`1(<%oMC`aF%6A4)|v{N7x>bajxzfWwV#Yg}hCLcLENFCI7q3vVCzHSMKXFn#08r zu$Lw6l`qsf#&VQ3dNQlHq!f9Rvl54jI3nD?FM%-@pXzy=HO4wW&gMSd=EZ`Vx*TNr zd!P9+K|l?#h-M5t6w~E;0nCZHV*-jZ1LGLA2R z70wt;FTRAjOA8(L6hA zk}cZr;F3IVlvLdhb81zLkhJEV-X)JDdH0>pK&KQn=csbkUP#TK>y(ibxk!kRl?(0A z-{`~;RgicO9nrtxuM(`ek+Qc?`u0+zC zLI4XA1*RAQ^of!&J3M2sPvETMuq#o}PXL(+_&yKFsS;f5`k}5z;}-d*o(}3{g8h@a z(|XciQcs##E&$#@W`H1OuuKKvpg+PD(AUETjZr;(>x}B*XJtP^`~jl9s2*@Lfe4c4*!^O>jJ@ zaIA1+oWG8V)ebc)84#vIYrK(jtqiW>s&c+a^=%7y|`2k!J?CjAE z=DG2cr>cW8Lz8M&5K1LtibK>$R&N*+3zd|IvY}-`GiE}_>lTKH*;RE}7go=;&|7G; z$u8G02R9BNUR#9F&`xhT22T|kVtXg*GPH50*Z4BuZDjN-`V3}v06d9ub5>f2MHVW#f! zh+k(i1&k&{lE)%jvgr75HdOrgcrEK%=%rmQ6m+|#HYPk^238DO%xnOPMg>8n>m}kK zN%*Aedb)pxr$X4(cfOp>b(jFSh2E0dH$^K>8T@muXktcfu%WNt->JL1(Uf?-+C9AK zjykC(G1X{(2B~1&vw}oiFr8+3VPDunopSbOP~UmKy4xZ!RgR8^&g?v?8`>>}xMn~| zZ%R<(0(sSbV8Cg0*^b{^5kga0Q*KVBK7b~5OwVuzRTS^&iACG^H)%=1K&GXiru56} zq_fNTqibU@VLh5&Y-)wlRqYUoTxwnY;4s^(ra4i?G|13IPPf76=5VJgU!SRgsp*N; zG40=AwTz5S!SEh8r**2WOj7VL>&1!3MlcgU_0<{GF{H(&N-|Y9`i;Dzqr0ATVSHX+ zxbb{C2^&-P6b?0o8`)~j!y^k|*bfF$N6X@XJl1 z0Aj?t(5EV$R%5fI)EmPtA4Osp_e^bwQvm=A;0bse4Tq9sbp?#{JC#>+4z*zDPmPf@ zKE}sVWcOTA#k_sD%_C^WI)qZ*YMwj4t>Lwfd2@jQi=45TAp0S8rJ_?_czeX}S_QI9gVpH3dbwb+>%<8N{ zsMOu)0@E}J0BUSVy7DhQ2ke*8&Dm9wno2JZXjbf?Pp0l6N{xkd(Tdd^OH9SmblPHZ ztVa%E-gNzR9o756e|l8a_5|b41N5VtoHZV_gi2?6qWD)vGc>il=4g&r%eXCL?}CvS zW%iptzD%a2XDvKw`N+&mIMUic2n8I0{Q&=^_lBo(=L2$O$&6GMs5ysbk&Y0xyj=VA zGMipH!~UI18?LE`cKSS9JTs0PL<{G;PHeZ?lL#-@M$uDDHIrj{T3gqvp`pbrk!fYX znjwLP1KXR&ukUbC%dLQ2VIElCKoWj#69z{2@uxk4Z}2?tOjH*{V@ zmx2h>nx}}_J{Ki`tLRu~|LcoFr5>=@ndjA(q!6@NWXj2Yn(k&>K<|J;@Psd7r-U?` zOl@Qr!QpJzn8gjG+`PUdy1LymfB$FScw-4t$$Zh!CAI*%1U<*`3_t16S;`I&Mr}i7 z6s~2C_d7Uc2j*MXfinm0P)y#oTwrG{WCHX6CH6}lMR`NTQ3FibT~7Pu^2Scw7be(4 z^Z(H1eOcYmCI4bvCu9pn3*(N?5w#vx%O}F9j$ulvCVF9O0wtKlm^pQ&bWOpeCip4| zLuV-vlEbPJZ(P+VDc2RvUKkiNdkKyR`u@Z<1+z&_h$4WiT)x{(I&@ZxP9`-3FYGO> z%}rZ9sGQ68qeBxfX9)i|>Hr9tGVlM4c6QoA zKoLfW+Bue^Klu;3V&;SI%%9u*Rkk#L2}lZ^xd-;*&kh+#M4=y|d&*gE^9J}2`NJ+J z!GZCi>2L6V6^ruV@FR#)XLY_Gsp3eeEe{(I%T2PJrw~XLLpgr{6FQAM2|IK#EH>~7 z-AWwmhhMTk{8G6p>j$$E#fLpt8xmV-y5JqRBEhZQ+lCaeT_HSjxym{UE6PZ>?}lyW zWwC9SfMH++7EOJzFL#ij9t1a1K`=b#jk6&Eq$%&{4529&9BsQnIA7)nS>S<%NIW6i zL)K{%4t$K4Bt&XV48$3*?=SF*(ZsUa2wKa&ddRk?`ok}&BP~~IEpnV7Hqr|YJ{W+z zBw2KamqWe+-2NeJBw~P?b^_~S9Z2Orozr=+_T*cqR%d7GbFx;Pr}_m%aUVM5{R4sp8%X!o{UNxwG= zaLj$#$Bc!Jvq zQX|88Kc*6<^@2NA#_29YuaFB zyaOONN!fTow^-RVTr@@lX;0D%>W#*g5tZcGR7;dKy<|7^8sXpJLMm$+v@Pu3gwbP* z4-@2!Q}y2nK{E5_%+)J~T5U`FRSq}6mT_7NMU687aI~$C^r&1Ypz6}t+ZR)JkC-KG z0=3=O!m2EQ3dQ69M#m_PCA~!Rt(s^1eM^gv-gRqx({6#IqUhC~89;h|gy9dMiPO@g zW0AUEY)g8j&DFl4klCrKI|Bkbs?Q3eGtGSYRwVwyyx-6kQhS-&H(`UI3Yh2wm=Jo?r{0q zmAlR|=iykE+YOFAny9*^!D$rYnn)N{bf(e~S>sT`IM5Sy+k$CLEiw9z27rCbmRY&i zhZS0~xmPrHblB1}`L!DKcRu^Z8`?Fgi+#YgRyGpke{!-NJmX;gwexkYl)#$OFj0L= z0E!**vaJW$r&d;MXlNS12*9=6(SJMhqRs4ip&kTt&^DjDaS+>z{tqM;@etFjwzfIo z4iuPKyWbYHFo850yVM^Ja@((|kjQDA^{OfWSlt^;8lmlnF+xckpEu*+qCVbpO^%TFgE^{-6Apv0bOXjoo{ z8Z_y*mvk*nF0}MtVJ`?aShjZzGFhFic=4<5w|V#5qWf)WxeS{RSF+dvLOJTMK?O<& z1tY*$rBEDf80P_#)8gGg-CE>Dt@C>h7`*8uotHpCfL3vyFHQ>voGS3b)I6EBa|hXc zX|rOFq^pd1fQn*I8?!;Frbu|UrMf9}Vx8;_Kn-iKkDVY+<%p_8<7%hO5jC;fpsY$Q zAU_|e@m=cz(6>7C^2nk!YGdx9IZI_|BAq-9w19MhtlF*xVBT}7#{fH}`u1=NffLM% zhT#OkoZW|Ny4mLCE3}MZQJE8>=C~e^IzSd;Hc%S5cH5O5F?rXD{dFtn1u7$mhHZ2vs$r~oLravf$E+eKge8xuPP=ZBS@(64*j4g?d1&i(6P^l#o4CE&hT&o8 zM4UrjT(rd=IF7odAXA^h&P>eK^7xLOo%c2YP+c`wr2SW`^j( zb0d~+4jku!sq88Pcy4n9Q2(Ml+OVu*UDLgT*7s`|evnZj4*ezI7%6(-TDfi+S)AAjxRuYUaA$6o{I zH8|j{&AP0s@~E7T|LMoSN#Fj#$N$sEzxwh2Od~)EV#l}k^!_=J1p4vsef&rC-EV&U z2acD}cL5?2)e+_Z=i^_a&wqzX{$H5@8}#c|TTq$5N}qrA<6otLV1{?=k3aLq8xW$3 z42y5?9G$}1!+Pd0U+R&DgnxlDj1F@g5BQrF2%Vif{X34k{i3miDNzCKX}4n)a+ZS) zdBYrtv<4Am7`jXmh27yKfu&=+9B3n1E3jPhs-yXHQjgXgCN*$PhM6VCPDeEBZ|PSM ztc!q!gd@F=ifH!+A^t}-r^p5aFM$1f=TC9i1H*I-fGj6SK^w&+sflmVC5uhHWTX!K zS19Z$TB~bwrbuL|E`Wq4P$UCZ5-!WMx^}Q8Ln_UIGRii2)*mQ56cjK9X)v5P#O|Sd z@apDnCJ64sjZ57*vfu{+<(juP&nhj@#as<(7(96eWx6W1$A;~BPZ z;4>#yh_+Gh3=$RJOW=C|=%qk|E?|AC(J9Uva8_v>{Oeq%mam5?FtNb;vw$>3}KiT=7c`??r>EqvAZR{ts=GY#1= zlYGEmT8IjRZ@V+o{}1{y8uq|yjwQ}P`o?}qHzPI#_9gw7@&}S4UXx6s|mP~ z9wyOLLhOAYh+@ipb z$E6KI&=P7>av^HY=jgOFgiW6=_aoyekii8AcVTzwt(!{TQ2?EL>+8PtVR!z_#|1GcrHgMv`>7bj>6*~Fh#M88)9^MgoR;z* z{`6Crs~TywIlz3AT|-<=OhnB&;%Xs5NHIIT3()FfUfb?Fvzfi$(s|}5(HL|!G=*J6 zCN1F6i&7X3oqvO2$CMYPV5awnAelq-RKJV;p*JA3z=lWdXbUZ=FTkr@u9`3Gv@19C zlL35c)b$v2pL`=R91uf3Mgj@ybtPr>erG4|_|j!RN|FJ7s^PsG`<3AyV3bTxmy#&R=K5nC)}ULzQ?%HlZJr_Fs4&<5Vz+up z#HACv2P}QEmlDzEvzteB*2^GB=z%c=W9|0o5cr^`M-s0zpGyn1qp8_hrl-_467xr> ztldu4&R8};SY-=vKU2YBy|C%sSu(<9HGsVr_EP~zGY$b|0M@e^pmu?^YzWAjKC@^U z>#cQlqyS0jE)@hzQ9|F4}S42inKE$tGfgDg$7S`J@Z@if&_sVR^8s+mBnVr zpu+hBlh>b_9Px`G0;?0jDtfU2?3JJJ(3n!ZF0<=Sit(Q+hWVSlz8LpvG0Bs~Xg@D5 z#7)k6M1v8f*9#cLybfCu@c*O)`X!35mC(mqB%&opSeq#+eSzvjF3W#G=fDf=U(=e| zmoyoM-Aj}NBpOxf$ZWlh!y+lb3iNM^kuT(P8{TS~_>0wVv?v*Sw%W`|>;f)^&o582_}|Q7rGl#0!)9^pY2=~#Z`$YrV7iMX;m|8^6G4Nqaav5uS8pNmj?-OS596jDfpDDRD0DvZ9um55VM13nH08dE z2YHS-$G%3x&P}tkPz6&=+!Zj{ahkw!yEIVn4)2sbUBui?CN1wIG$7H_$adI2Fj$#} z`CXb6Gt`T?1q?{gA?lVHiHesmO-OH|03iu5)M|~#ZzLvO$8>$4jho=d`&vfuu$)0? zsX>5hHHQXO5(RxCA8*m?b6`^XSk=Bjj@`rHdNQPg?0ectI==O@pQGcEURKVIp7j0k zNcX8ZGd1J`8pxh}JTQB(!Bn+Px#V`;!p%Y>t3i?5C^#vyMH<#f1%k-S*_SXyLuG{B zqO-viC!pCDJwq?&V{f*4pCjDk2<{A8?-|FdbcAjO{mV*cR|?r@2JVSr&EfJZ)(;wy zeOoPC>NhQ~%bD33X{}D{@JK}5{ZvGBa;IC=Nd z+o;eOCb7eTWp}_W>zEw){vh$%jVF9BzA5ocJ7BC?8rZ_nyo5>U`XibbZ)VES!5el3 zD6U=;LJQq|^Omh}(JVn-2`33iLwTK13x)k92xBiCv%kcq^dS}<^I&x^C2!J7l7><* z3M|r&x9H$l{X{|wj*X7X!)afq^0P3 zbGEoUhLC_xMoOz%P3hr@iXdgak=Zmti;BAR5<(Qn!_m$LK2k!A*2(LM|P$Cvc7TF z86VqVertLeg(1KgZLVUYHXv%?_d(CeMbXYhJN~wWfJ3V|t>a!J0WDq&+cWbK~1E&1cwNKlgqU~v< zg%6`8?@AbrfZzj*QZKoH_&8ADN;e-5AZ%J4+l*p86I* zUP`M5-+WszR_OtZ&Y(13JXF?jB%SMn*l9SoP6qpuD8Zs{PD zn%7mv|Cx_qZ=PmMW2eLCeTyDY@EqY?X>o{~97kVduOIRJF(1OEU^qX_UdIkb%M39Z z$X~Y0@$%-6pb!CETFEUUy@` z$l(a44ov)lkR@(Fc@E%6_MqOj4|(Zmn=*$Tj%ca{UU!wjiC4W<9pf-Ur4V8FkQETvM}m!M zU+mLE!O^13T?42w+NcPf!!H>l010JQyIY>dQjICYn^|7sL|n$aELRy5+=^?@ygbpR zgm_DOIMnbjaL%FM&<+w>Qztf7Otsyzvu#5!40ip_vKsGO?RE}#%V~tVDJhLDAIiXt z9#Cnu|K*06^` zLeC={G;qfPf^I=QgPZVV&JgkkrzaeY6B(ylRFMViIGzo!up#q`4_pSzbymmIj?voK z?~1YXPt9Z+$C8fecum%@>@Da&S((Laj9!xboYLF-b#`~B_6|&`p7^1$&a-0k z3`C)NcxH?zW;lRdaeX6cAH>koxDkD;D)HqhX+}6G3+E;6e>L8cW7q*Hhc-5i7(3f= zSaZe>=Iki@etcObL@CX7wPk-@?CKC2(U12bK5fU}d` zz*qk9Ps;K53_!!oN=T@6V1lIwcGle>pXw}Slh9za=rs`pa3LwOm0Fx$XQiWvbhtb{ ztNIL!+OTqnz-@Q{MVZ``a15cBegn=scJ(}C0d(y*?a0TE)c%jDY~KOzjpvv!R#x9? z@2e=0bY0@eK}f&vpyU%H*XO%Q1)PTj&Mr^vK!q7-RUo^NJ3Zz-mp)9MIHG%|L7=k~ zcrTg^_YULj#2%6+efrda*1L(E%{_;_I73b~?yYn=L25b}Go;nLL;Ok|G$sza!sB6b zJnHCWP7|{(3y|Af>ar&t8D?9GyHC>$>*zW#PQ1xDzOXfLq0@QuyQvuUgo_7yC+?ul zG!u_>~%ZCb~bFiyN2SBuCU$6LvX%>2+2eECt!gYFwGx=FiM z@PsCT!?uT6IGZ8+0l{?aE5CN`^80+aGzZNdW7;1h2wQT&4;A}?a<-;1nFnm>w7xP{`;SKUed1_<#YAg62Ila5pa=%KDgb% zv`24ImJ$K;L~_9*SD+DF0xq|p1!*RGjVMuliD*%bWM;TMLX7Cl94#fl#K1AFVX^Hs z%XGc2Q0hOf>l%7xm_q5&+|$_AYsLmeiA;n{;>K$goOT7nbcxmq6GC}sEBoCRXCtG% zy=C_l)2~^!0YFaiFbN^+%}LtqP)e)p4k8b$g;1t6n?#AM%C>MLSZ4K6O-eQx#!@W2 zaB0FJ5J07*n2^Z5FIbpBaa<}%JJdl9NMxK(r3nWSo#^eI94#)19=jb30)j%?Qp*F&i0Aq2K^e(Gsexe9X^Cn~s*7|d= z;Xv8jG_DvkG^AbZ^>*VSJGeGKh~;9NZPCe|Aw2ZM$Qzk5G;n9^O?0Z-`w0#fY+^Vs zDvCT3sz*HWT#m69&pDh*I}*;crGf-M`>d!SB3X+jVMr7&J-lRgU@>2eDW< zKE?=8!UA4c;lPdVJN`2%!muL5VyX`Sed*WLyyunC2?R{ zFNllPoK?xd_blu?-;;@2wQ%gNwk1F1^JT}f4Gu+6(l&T`EJ;8tIm(GKqG^<%1)k6t z`nFLdF{nZP_%*zRS|$kVstu%j=hfb~N@ytOlmU1iPt+TXXlm&s=@=+yj;b4>Uh7%D zyHztL5O=b}Ducx(N2%q(?!O-Ld;6nKPDzDl4#VG7+DJh1$CAx-({<$Qb;~Fb=m;z# zIy|ugenbtD2@dB=o|@b-fXvnx-KB2f9p2p3=V2P!ItzgC+q`Lo}+jrrHfg)C>Q`Pigcc27lOLbTIJz zJfovR`^Q>>?fq_xU~m|kN&w$D1q`Ldg1&;4zN}Vsy5#nO8auNX(K@U5WuG3)tjjV# z%M(7ChrYR(!F9%IyFVlsYY4RWX5zS(z?;!)4l!+r7RcZ?NQ;tWcKz{v?NjS22~?zt z=t7iiY;rEjrlq9#N%s=nAVARttj|*Ew7>ncKSs-vh7ZWug?D+)(iA1y(o{qI1*@D6 z^A^H92}$1bEhkTKCVO9BHWB$v7>BOo-$sEIrTj8wa;Y3orxkdu8qx1xFZRqf#ASL^ zCcSZDgw+A?3y&}{@$a*8Uu5=iO*3Dz50rc<+94%6QbejFQnnQRFYh5-t2Eme3`txg zJ%OQ1jSA)h(py@l&!3y;hvkGanQaV)64NY7J ziFCJVXvGNA%%%C@D4e&AoullIfw^Xr5F?`q^c@pL!=lrH=&dEn6l9yc$(%aFx9F{tAwdo3tW+*hUKsV(&2$Vm`IMA_>ll;gSTDB-njdq~mCX+0~ zSdk>yU$8=P+4NEdHbKl!Ys3u!d< z(`9?XD8+?i@6p-V{nj? zAck!X5e_@P`yAbJG_KvfhDnzml5QaF`thGB1HRf>t$<7{4E^DcxQDNA4v1=t!ZaxBF5w|g4I~+mR;J+f2y1K5hs)D?W(zgt@PPghUCxK=1VA~!;iL!So@Bd*mdKt2 z9fqKcxikrjcW1X;FqP@L2s^ye7F*rZLO8*Jn${^4&<4)Z?Lzup_ZH-f^dkyVlsdc8 zF9x9uxdpzoA&`cIUPuGwhu8DDbWtE*DC2=({@c(=XA!0_xt`DCd;%=s`nQPtpdV2% z<5-^S`Pgk?kdZxEVuvOsLNqzu(N{9EV*xF^J7fF6HR4o4l_R<-MwgQ z~>c@Ty;P%!J_xwi&hB)o_F1|`yYX%BkOYu8Id zA0QT&+ap+kgLM|)!l?p_ElJ^jc5Q9^*=If_Jo*qFeeBt12l~|7<25w_ft>*G4iXAt zF^$d(dwx#`)6rm|2XtAznAQ>Y%zby|s}Wiz`FdGE++hoZzu{h5|jRsZS@J zN^fT`?ECDFj{K5whPXp?Je<{mBUQs|Zvp02ot_@SNn#C`jJe|K40VqnnO~SL+Rcnp z15eq4N$k1-WQlB4*)XMyUqHhoHEmf1BZEhK;)V4uf9lilqVv&GD-xb|Lssm%-DAu0 zfjeYKZ>UKE?PA`IbHx~44ba&X35N|_8iu^vbdLPk%RiPHPW8NGQyd4No5EhBmB~+b z6li@h?k@Z}7MZR@{{cdBUHm)v4Gs2!LH7UhvpV8Z)5wBkco1p{0?JIm!qq=-XhAhq zNz&OK2*xBmq#WSxI|9r=GJ+jgVV@xw(Z<+u#PNL+Y>zlmHZ_4U)po4`NpKh9xyXtJ z5x}YV(TAMFlN^YZ?B8@$QJL-XS2VgiR58;TB+?NLbB87n+9-o)$9YSuodlwEn9DZ} z8(BKK@Dt;jpZel>F3!GE(a4q&AS~dh+D(>mv=&+i02n%&k0?_EXY#OE)?aQ*candfg z2Wvy0`@)*wX{DnrWuum9YB+qyI@keRBf}1MSgY<#GN+t5GBZ77koKadTA4@-EDSwvwq43r9W&&ch==>=1cyM z6AzQP&nNM$|H|BM6NoW73Ri6bjA_weYX2z>P#rjJUD*3&;Y6$k7Z(;qA|rHEfN6ZU zrQLLQ5^=Flo<5r#+SEz%EhQ368@kOeQzr3UK1;HP+HP5ppR4ZFvi6?xQ(eA)wPD@tU?P$rc>d0>1N& z1+OgOQPtuTye^Al&fXMsKGESU$=OnDk$BY+Td#7wcX!!w&oN4H*6`{2&v$IVlj7Iy zcF%#Sa5@E{z=^tZ&~9gL5<**+I?HxfsJ+g@VU1s?<*!SvqU}eoonfn(c89xt)+P@? zeB(B4vuukB#Cs2Z13R!$tF^PmNOy`18m@pOzd*a0+`;oe>k#@px&@;eCaqY2*@Dgi zxVnrQ@@r<}u=ucmJ#NXxG0QXaRqa`2Ab;BQn}(1tTY#6^i*mbve7_Nm0+Xo=42r#? zj&Lwo22}iBg;i|#cyZFHx4XlCvK5PVVI%B~VH*#Ko&w;&@YDOp_p8T0-DZNo0`I$3 zLl1N~!{dQWk8;_irP`QBCo4F%>S1Y6_c;V&oo6jwA!~KY!2JLe^!oyU=+rVeSSN#) zxwAoeXSwgyj=fXL_CYfHk&A8Rc)O+S=s{*gNRaqm;aIBeCReM{2IfSTSEURJt#ecJ zFI@H)>h>R->kaf?=PcA?Y_JXqwV3 z?fgKmqvMI`Qnkav5lSz}1zzHk2xPE0IJXPWB(>dV9Njst_GkyTp3PZW#rM3w4lfup9gQ*#)_rOGe#Ru3|&4m@9a8e3}=^mX~q>gIO=_1g~v!6<_i+ZocltE*0r8F1=c;2|fHcZk0? z$Xgbt?LJ=&TP&fmK@hqkoW>Aod$hf$hs>3bP!jZ9sPnWF#QNS@D zo7m;BR_oUh_gs|?ZU=Cwkfb0kJ3FV{0R0=k&FKMBwfrH26Rw@bLk5;xaA|J%A4H4M z%Xp4*79oI z4&zV0p+8YKPD>By;Sc)n`(OU(o0REoyFI{TMLv>p+Rgg$TQ?>J)pICsta7#c{x6bX zlUEtl@V$?|MgM&lpOmY|Z|(k%zd*Iaj}PVAeEyC8Q)NCZS9$i~KXl4<_TkT)pQ~(l zFGYXj`@c;sD_2T?@cm!-=)2UAZ>|3Nmv_4MZ_p=i+x+Xd^_L3hWb|*oyRoX%T%on~ znmY0izW<9}@}qBm|2J>!uCBN3)y{sI-{06>nk(%Xe*E}8C8mkrVBwu)*1y9G;#-^Y z#(ueE9oZL2`T!=^U9k?16M;7X_K4+jp!^&w{btU#IgoI6 z$g@w8XHL@DW-iQ+Y=(j}mGF7Ib{X7O8?2Z0>t~BDX5%+PORp-Mo^tHo|A1G`=i!TU zwW!$HG;Fu_UYNm-U@(Jb?&O{-8S1TPWE>F z;IRKS4F|mvL09Eu)!shp*X-S5K~nZzX&ve9L&AwWi*7aW4ukYSAwucYV%;LFijgdq z$VC|fPc=>&-TKDGqXy99Sq_-KO_tD`ubdS2^dig7%l7+(fohSE5i;PT29jgZZ9i3h z6saRM(Yp!jqYjAUEV@EKj#2@YbW0;x zWq95heX(vwvc7P#` znpvXg`Su7T%r|Y9-q?F5wa(NBci@|;@?omj+GHD`deqEWHg0H0qI26|J>0cf;Y3!I zgMfTlvb#FSlIE3~0~}P>K2GmO7M}d@37^yF%qRyR{<=^8rtR50g05$2!eSuAFXBZla{U}6E0~aeNw4h&Lk6jyH zrVmhPlywGfML>w%f%cLblsGHdjsyPo`zZ*1B!yG|+TN?^aMe4W=sAOVJA~V+L>37I?#Y*qMPZ>_&qI z9M~Ngb&$ovJ1M_D;`C--02&+NpNaK%KgTf2jy}w^Ka_YnW!f=nU*b*6bXhC#w(>_u ziG%7t5EpT$etdt9ixBLFWj4pz?81#F1;q?KhdqSOfmO0Z?BfCII8KA;*91CefG7Yk zU{DZVeN|UdjLiyP7KFRq(}1#~6jacKY7VqWIVE6s642m4M+zO+K4W6kx-9r`LjrNQ z^4aHw_D&?EmXF`A8%g4cQ;^5LSqVbWSaB)n60BA3+=lS~5y1RGtO^=PdN4)oz2x!F z5OHGbOkg6rHh9toDI#P-rcJ)h?dtJ&X@nmC9D@Un5>tcEIQkpL`^f01rmsBhHU>0W ziOXUt*A2Y%**ZrBbX+WK@4OR6(o!=zRfLtn+CFC*u^UDE{9x71;9Ee;a|(BbH?5-?hB$^$^M`vi=YyjCYL|L#d( z2YB1?dju9Z`i7u8byLy>H|QozbwGfHk84YNz0z#649v_vPBWg-2m#!N1$k3`_?1Q8 z)(@MK>3X_JMPN1@nD|vP8mb84)vBVMMwg(f)Z=&VOHgNZ2^gY@9#I?Kn*bHb+YNxO zDkmHyV<;w}TLrT*9ovitdcTvT?rcb>gD_^g0P=>erxuqN_QUY&*eJ*WDWK@2^Yj|g z-_t!n=Kx>ab=lTxJoMJTHo?alxPc#qo!)$p)xgxikT9#39S8JZLIYF^5witrIKpaH z^c`*(wwYN-{|WSFX)=M3`C;&6{%N5^15Ya2XRp5 zLt4S5q*}bw=yHw^m>r}K;jD2beb*45S%zqWgUE_5rS=?zY|y2+$k_bh(J~H5Fo-WF zZXsO4b^z&_uJIVh$EEHq5H}B>m$u;$Za0nTJ_j88#pFH8GDn8HRDqwk*28D6c)2i6 zqa5I!VZ=T+hQy)c4ucJM-~n$s#|m1Ppt!&t1bWG`R`yFTzM%#uF>M7l?uT&E4~B)1 zuuRMG2!HjOj#ySP$Bv@S{RN0eWxLF_IlS7u07V5JsF-w7v=@g(Z9xN=vs(%KGo;C- za(s7OP6UViWLORf><@YNU;RPS3lfm2qMrx%Oh zw!lv`^reV|RmH=IPUBo7&MWT4F7YS_pqJxfVsW$|7IVZisO0;A4LQ{PYh9AD33Nel zL>|r8$oC^0-NQhuMY* zzege2z^?Q?|3W}~JOHt#`(l)F~)AcZm-a4 zxl(5sr6dpk%x8W~gm42cHy4~}F`b!X?lez$;>Ij){!CcP#PXa5X-}CpAZzQ8Jkne6 z+eN{MFf9$IWem9JXvVnOGl-9vY3k^Jy_w*A;NqGVct%R+-ohs@p+mG|!V8#*4cu%U z&Iq3o zck%E4^c!z*gr_C}cC;&2&GujhAb{Qi4ylNcS|IxBmCcVa>$LQ|<PIl7IxZ=Uqc8&z$;cAMy;=F-Q`wG1WEAX2ZdsNrlPmVtrjdr3R|1tMw(d;pT^_@~jS9 z%dG{S&aIXN|SVfM?pgvHx80vg+lKBC5D<4+JbNT)lU%566I z+@faR@3&>O5(l*!vG>XW#T={g+z`=D@h!NX=pTBSCA2Rsko48_h0|{Oq%$9(Vff(% zQG5%EH5yop9>S}P-pBNEHp*76f}VV5$I9{ap)qP3#hKvEO4?{ugcw) zUVjDWDoHkni{DCtTng#^*)7qMMSqnmX0bB(zub^|(<1!+;y%0tQ zw;zrp1E{D)uhl(V-ATfxN4NYOX7fA`{p6NXdzn-HHnHgZ*3$$aAa=4Zfw8f`pBO0N z2k*-?gGa3ZcG+zLRUQY*`6E9igW%pSvNdDckkrHW5xZQ# z*I2?xp{&4(Fh2p*x8m45YD^7c`AcO=6g>?D4FVmKnSDoMG|WyQWZJ9K4(QY*2Ls}~ zEaqJqo?w;LfHaCCoUF7(DyEEsj^bj|o@>{zOhmt5Y8LdkTlVLs7gPy_t8qy;rTFx4 zShck5>TIDdw2dCl^fGFz(q>x?J@c@Ao@?8<)Isam99p&cx_FJY1$0#9%T;Fhxn6hV zeE)1x>B&BAT)fkJ3)MnCA8|1E()I z$u3v%I*q+t5MY!^2s$6j4DMrZb;IQP&+ZIeRM(b!p57)0R#3kouFWp+0Bb|4@uQ5{ zv{~bVsZh$Hs{K<#b*+tw10nM*8>}!Fnn-V1K}K>@-6}dfZ8cYT_P=G<`F5c$m({n5 zN$jfZfM$RkjrIsQFe`Pk7j3yMyZouc+5+9}*WL^l<}rj4bh%_jdLQr5RW$qA*U+2u z?^QMjhKBx&A+(-WsgGEhP57X5v{Pu56CH3UDCl&XF$(}*N%y7N&?4I*WaXtB+)&Pn z&BRq%XM!WQ>;jjg8v~XsoHn-ShMw>{rz0lkppSlZ3Of<%a#z~WsC#>r&pARK6^{P) zCk=QR-#G8KAU=c*7&8Dj5=F0oFp{uMSn!g*W}t519auuID>i`Hg}#3gaU#IEhd{L| zrRLFC#M739XPut~iI7pdzyTYubq`228EsNj+rG4;XiJiqGg=y;vl!L@6UXq|QG3#9 zd)(QyL2jJHdQdz_6Xr1S(l%hc8{cGSK=qofZ>4$e!WG-xT@Is z+-GR2&N>}UCw_Keg-^R3`KHz!>Z=-1UU=YS`uA~H62 z)9#^Bk9=Ky44ZpjeKfSG0VGJ$!eD8`7afo+-#S9P{$Oa)$dEjq3qM3HoqU0rjkB%E`-Xao2A^BZ2^qQvntOz&kStiZ1(FGwkH8^kGq1t z7C6p54L(hEH|;zPuUi~2Q(*{O(JcK)?Yfvw(7+}Q+)vlZrSI)c_NvIYdv={1%vM=F zWW|N*$CDLZt}`oe^W%l0K2@c!I|k!M#Cj5_7TO>ct*mJqE_@HDB1MzY@UI({1FCk= zl)M7!>smDr&@C%&7q^^NEKT8(_C{?F>Oeyh=b*rXtgsT&0%OU_j`^`~mpw8Bfxa?hJJNp)V#c$6l|(Oh^F z168O2^71p&#b(T>P8C{QTUrJsxJa(9o=c0L&TBPH#)E{CS{f(XRt-Y8E|zwlQ*fnz zBF&tR-<9(8{?O$OiW`q*@c&OE>$b)LRl})Cov#qAfzcum+^ow>?Mh$svxW^$tD07S zK?lTn%kq+EZ^PuN%|ouPm3Cq9qUSfmcrl+Pm%}huoAN-*?Lu3g+Y7PtbeW&70prz= z#yFP-(Y}19Xc)0BRiD)~l3sNA3WDVINjqyHNyJ;!H@@;QOec~DHo2{8fLbi`YbEA2 z_z74xLF5IUmeSPpN`@yJEBB4P$;&PEn&xOJ#K7PMzL4?tm)9MQ6Fk%9#Hn+MI(z*V zo}ap}oAp8)B^ZhFl4MJ73?6!Y%s~#_L7b*R{LW|Jc%!DLj|Ny(H~N=3yB_TXd>9N# zv{4sp;pB4Vk>k`A;sJJaq{`p)7K1Mj#AZYPlYqofzJ18Ib2UF^`p?9M&ky`A%SAIt zu05DL+A{O6A4=i7@?eK1ai9~!*~-SRc;yU!A6MdwvsnU%!M^R+@&-{~p*SL@z~eZt z(Da8>qaN*dmjZu7zU&F(`rlk#{#`Z~PNUta#4M!j{>C@}!<3Q5W>(uxU zrVPq4oxT3Iup6(AE(?MtET)oat}q?TtX}I6#yPZSXqvz=@bWx{eXlibm}eQc^^4;a z$9=aoReYVtO+psKZ_4o$(^}+j?|doZSY~^wP;L$x1Bbt-x^1*a4D&5?p7AKr zrGbVQQ=c>Gawb={R@607?JEstP3hmD-OKycb?Ek$t?M~17`L(&kbUs4HQz{Behxs1&ObV(q0tpJ#6``M)IBP2wH-g z`x-G5c?9Z0${t(wA=@oMO<`ARPWfSg;07i$XH9MX@I87jY;uQn`|z2LS@AQow)2I( zJ%OGh#{h_K&~=t`x)4uAzJrF6ONv9&GYc*ws}pVV1NM5=;#kkALhXp>)Gd{`rq>*7 z^sM7@X>V~))0w4vZttP*XYxDN+C&|_$b4?kHx6r^lUORHgNdHr2;>y7K0lKnJnnA!!JkxH1#VC3N`NiIc#hU0L&Qj<%)Gmy zC=Fw0eR}+TfX}~WH@GQwGKPuggfcAF=JC%fx@(r8pyLs69mG{;MN=|M#*+Cx>&4oM zMc)UvBXRAwX!Jp8(9|0f$>0Z$LWC=vq@qwf*lFF()rRAM*qz*US*03*Mxij?08rBkS+3pR!Z8K%R+-$X45!$z1 zjd1Lj_S<&n#P^FrTYG&(P^K!h;Q2F?A! z?|ko*U*vw)AN~@3_rX`By`CQ>bS%b*kn}vOZs%<^ubtQY*IKs)^8lLW{f~e7$v^rA zYFU5yhXpl`>xiQu1jH8hs~^rR1@PtJfc)lPeezF#8Mz+6x>!HHue%hcQ4&T7zCws$ zXm!Y*U~q#F@{{<$s@E-zIJeOGu=r^bO)hs9g)>KJ zaAJ!ZSFiC{(+&I=fBwlo`zszjs)%Ofo2|(g0Qnv}2CkFVf7^w?X`@IVh%^LzhMmkM z@v6x0$_npLV-w9lyXZ4kF=NUxY%z>lzOkj*cLft0v!Ax(Mtvegjv9)@TFt9*qC^rU zPTEJPYWno}|KwL1TPr;Zw#0ji;^O?v!i4+>htIZ0+u4_R@dhYU5lpte1ew1I2; zlGYRzU)Pi5+`9kFV2(EHj1~f}cn!@n;C5p`C;EE{6NhjGfb@_-NzE@=#n`!$m83Gn znbThfgYTO|Pg%VZxF|<05AZEoTEJ2UpoFk!)MZgRhjQ`w2b4EkfxM|^SlqL0<=*yz zin#@%f&inwEe^#t2P?y^3hpR6dpgca=h2p4B+IgJ_Ot}5mKukn<^WK!o$9C=K*Fu= zGR~9IQ+rFRl}*ApzVM)h%bmTYWl>}~G~@Yh&Csq%pAQh_U~B`66cv770*i5v!|0%# zpidVI-f{)r?L7hqO1s_KoMG|!e$70}yAse5pJ!+lwWG(QBUr+=$3>vE+qrTY820UK zYtsv5-#&iLIe?TjZ}GUG2V@Rj+U0ERg2hp;;8WdG50pHu54MF(96nHRTBe- zz%WE8-@8Y7^E}6Y#FJWr2@(=B1S5pBZHMhR4m+IjV_zSsMGugA)Iu|<2T6j@= zIOW3XRnTompylYSU6ohu2>?To)17!y)m6CRTHb}*4EH`Ruh^ICJvU~}{ASkfAgC@0 zV}!}}iKJMST3zi%U5m0Jz;K=kMJ*A8=r?FVyAqr$a*{XqqzQ2y%UbPZ*48=a!j<>p z*#B}E-KVS}e*kHRH>y%312ZzHuT|ndnjP1#R zW0u*?Rdd|6!WeYf$wgN~XP9i?wS+>gjTw$w7=6y;6-5SaoKE*8U{W z(RH2M7y?1^>59YYA=it0Rbb=#VAlk3D)M}*Boh%x)>JXsXXvC-6?Bayc$W?j!tCK8 zB-aQ~M=P|@ZfmJ(DEkoB5xRLl&MGLmJx8>&TWN@0MQ%8#Lm%+_lg90!-%Onm14&?b zx=MF}97>S)86|;(hb6Bw7R>9hbp>0U@j}P0i%bB_A#0!s6#bT2knU0@09njtAwWXpB)N_-K0kyRR z?vNMtWcZuwwu@V%2<}dN2+A(%NDFEFZ+i^Ztg&`><(7`=Quyki=m>9+2i7^=|G zY8p*!>r_j^VI2v8M!TuAujrS2R4vcEC4J*Q|E4Kh`q5T0U+9}oz#*)IBP}U*HO3C= zUNXdqY^BlM&N);D_GVQx2Ej^*?`TT?r7aH< z4E$g5&0esgPdi?I<||TaVLd^+Da1>Q6qP%97|H9MwZ!i5`R}iC=luECkhR|t=Nl*I zYDMpTWIdL`RgQe+*23~Qs?+B`Mh~{m{(3A=B|p*?o;AT=Eity~X;wk>;nY^2|IvEA zV?c1x|C9eZkA8IYPdS!L(XLiG1Ca0`CrT~xr8mXZ!tYJ{`R`*T3SCXPDso3LD2p*_ znj%vFWqo%%qCv{RpNyn$3rNFmu)_LtRu#7Z>k0dEgLMf7VSs0tgEE*$$AYTWsl;6J z#K45Ld!=PRkd~&&!t$JDp@?l;aY70?gqW=4W5;wCK(5_&`*5b?Ft-B-q3A35uaUaf~VWSn|$~ zpH50R3(5_2DVdYR1*z>g@)-AQ*p^Ha#++mNRVs?QI*v>DC8(C=8=**+qFsrrb~g%s{5!CX=8a{6$v) zrs}8>eV2ugyNqloy0nyvj4mzcXzKLiWSsU*@khhK?n%dEU(s2Nfa4M_6MGzUO|C}u zMvIOo3sFz6s23lO)=B!Fz6yy&7wN#Hzx>(PlL@(L?CHLfNH^QSBtUtEIf}j$HcL)NpL92QL1%((5^h6i?W(!?U>SKtJ48$SP zKdH%O#i7NHogH6kPEfABZ9WnFcT`pHU6S?fE<21MNaQCMWl`=eXk<7T} z>poIc+lEWxDy&?`k79@P!9KU}G>P6yPrS{YV1qU~YeIJk{>QBGO;%fN-<>;gMw#{n z>@2%z*B3(KPwUHR^L4sn(kvAy5wLS$19gfwo zQitVLt4K6)$02;px{vEhA{;4+31J-tSNY?kxv)j2Nlfr4&H;j{*}P_x5UxU*GGSFp z%)O4V>N$_)Kw!bM^V;?4b)W-eC$XXu%(xOvaSe4S-Ys3!=54E^d8^%f&6Y?n({RGK zYAR9|J&G8OI}TDQHhQzOgS$2KNrUut$dwFulO4t!I#Hw_o{okMmw?Q#L%6wk2eQMt)Yxxt;56NmZ}6qfeD zXvC-s9`q+cqHbtFC5HgfE+qSQCi&t0wY9i2*xfxDd!J5rL-#`yb4^`>N#v+Ig2j}v zk0$}Ecj^;8tWVXhudpC1Iy0@a*E{RYrvc!bT8#I$6AjoMfj5+ZARgj z7Y8@x62~+NBXrz+Dn@3ggPHx&Hi&uBHfnbhFn_1#u`F}dTx39}=pYujm!1M#;jGeuDRr{TMiA?yC0NVtQ$}puGm7lWQK<5)mTcb)5 zj6Zb56TML{xsfT@`$$Fb{q~~rMuVk0uBB0<^q=Gjq<0={LF<3|y>Gth{pRxHim#G_ zpI$Xr^Dr-XZ`rzoKqeDwPPM4E#0HUwOV`=h*_wPlux>=NUuTCB<~d1*-85JrHwL2< zHA`%NSU=hAk(W_*wjPP~V4)S%FSmSQo=A+Q5{GmmjOcSexAj}Z$|fW#%-ib84wC2O z=c59A2NlVWHrXKxhOSHt5sGno>%-Orv^(sJ+HOk; z3YnAz%YD+INz#WRh24NSBX!MZ&^NniobsW-NF!B{Yi6~d)i9dZuumxB;`G`7IqcHw z+I|rXA9j!Qy0>_a$GskRy}s5AP}5?z2!k(V{bOJ4wcZi z+ph6X!?CZwhaTLXcyXdJ}WHiIs_$ZyN`2UvPy@oA8RT#fs4_|kNR85r%<$mpKO!~Spo)EsX8E$Z+Yef!_d*!fdPVyK1jSI6g0<#aEz(L#TODA zl*gG~4dWb%3#~LJ!07WLlnin5OlTW7#Ywls8eZ=h$LPed=SRdI@tzkh68iY&8CtZ9 zGI7cs+6rdsS}oPuiJ>C}K7F>I7qOE&D1vO0o@FS-3pP`zie&{6r zGkuLwYr2i@%VMwSU=t)!6sHc9m}k@>!Q_NEQacA;=vg7DB#JeZIUg%56{q&+Z~=j- zAUV<$ja>`HztFoO-_ixqPogv;Lx%qxvoE1+;1e^rBy}KIWm_>!E{(iY#ytvjvIWOI zBn*GRx2ff>J@8fx&EU3C6J)EJ&%dlJ<;MB1{*RW zdFmidTjW=0RjC*AAV5C`{27`KdK79IA@-4NU#@n`e5We1RC_VmD11FZJq{43sSo>% z_o}LT(TJL)d06lr0n-94NB3Y_q>Rl8t-tlJeDjS^N(n(bpOe?-)2bA@sS^pT7)8bh zTE4*()YmaST-fRJx^C&~-x4R5n}R37dH4`I8#(}!a`6kFFryfkCV3b`H_dFCv_NxQ*GA6G;?ix^vSN7R?oK1>l$ck-!*DOelId> z5Bs^^4zN?*R`;*20*R%29L1XQy?2!V?bnw7MLAJd56|g8{7&_FPuj1_(*0&Iojf|8_f8gfD506za=f365Q`cWg{&n?q&8m-M zb5zC2Tf_9efqSD>q1l6>f%PB$+D&pja;fQ&WbvLO^J_LAC$_Fc(7dJ%_oar5+obXRq)`G(iJl64 zWUVAU_3!XO({MW8O&;7&j>GM4^6-9Ta2DN7{-BxI2=69;(A3z!pFDX`_kaYce3&Nv zlh~y(#^53#@za#yZAuKmy_C_Nl&(oRt!#WJrFS=FawnyKr}TgN`~M$3cK7Ul7veI= zvq!8i|5vIyWJPHU%+B$upFNJ*@$-MJpB+{^)k5smW`Ia5%sulf{~(ObLsU3>@n)DA zif(P{VK6waQzHMQdW#rdXeKX@W0`?aLclhDP= zBgbvg;p`bS4r!!^y5z}gcO2;__S7FeH{S{*&E(zAz5C@wF|03F14?xi8PB|M^5C7& z1Bc%5ooB=2k!IVwkw$mFR3ooLp{U2K;T8BwEr<85!1at5T6FX1O|KN;y-U+EH26)y zq!{W7c8Mfw7wRG&kSuw}XqfvBe6d_`_3nt1XYcl?hdX?8xZge1Zf1Gv${m$1d;IJj zpvtYpmt4%7V(LFC-n}XQqdlK~?z?7wwD3F~#T`$d!=s)Nlnc*&b0GZWPIpX4B$^i- zax0Sv?s)q4orpVTre~fv0*f9d7WbArtF5cgN~oG-t&MpsyO|es1t(LyGuJas?t{UkI&?$d{DUM*hs(%G8IauLj1%_66*{%D)&pWN2)qkX3; zcc!8Q#;5Z)?kW3f-y888>tQ}1!GrB@{LbFN^>Y(45&G7D@D;%j7gf|Gz|f%vo$J5n zPF&{WF4Um=J&;iUE-$+KL2CW`Vk(;rTkW;G)NO=ae;{f{a& zODDiecjbEFOoD$W^gzEmVA>lhjz^_4_Va-KnB1E>T%n7OAVc3IY1qeTn1~Z>=k#&7 z6-r{}3>Muen!$B`)n>%oKB;PNOGFIAN9H+W2YdcL(;*MK$9Zup5!LeDO^yT&AX%Df zb_K(VOaRHQW&G*g9RJ}@jg}-Mcps3%(aMs=LvaRBA&+c!**F?GEbed}JSTCjh&1bb z&@9`t9CgQ*{Ls2iT2mTl@Oh~}qKNJKML$RB^vN`R>@Z-WC@Vz{_%lJ(ge|78)ijgu zB!NZ8+{KtvcBM{?yQ&{%3!EghBC?7(T^K#RSmjaFpkMfoAIn4yYL1}c=}wcB=`^`dppQqDLJ{dak8i;^7ys9xfmtaxuB&J|3P#!TY5*3W`FkQ(Q|BTa4#` zV9K5dYL5+qF_zikYU^lfXUC{i6Jlm|Pg`_BEC3zY#*jXL@g7-fvI&pG$jG6)B6~z) z{${1BOs&aMG{}$%iXJ7o(L05Vq6tTWWCmKIe!NeR8pqR3`^K|~3HJU9>CNfO_sv22mb`t0+@07S{i|ND> zU53sFo;@-F7Q8JcFa(B{ZW=zRx@2i9NAO$p{DUe;wQX7>-}<+py6Uhg*(kb;&|_)y zV?)Z$6cvU-eW+~{Uv=Q^Xl=QIEU3NtU1$4keW}QT4prqyGBxyGEW0kOhZFfH7p4z{ z%renO;7u-^OF^Wuygu5oxa!BuKnbqczkZC8eTtCljXNS1^kU!$(hEW|%1O%y|F~C%Q138fZ zai%7@977fX@tB1_cz0^T-Ab%^$O;9xG;)a~iy_`Jy3O4X%~MCG2Awn?Dgbm5GSe@9 zoBXitKL6&Q{MoYp+Wh|zbI6>YR90(S{;{S*c*_8MZ50rWf)LnrcoUVC8i%;Q;k)uu zJN-ppcgMFZN@}DyVVKjXxkM;z2s=mc5QlMrE}b?a91?*9;JHxHT*ARRVd8}0g0CHl z-gQvc$=d7il2T?69a0xix*Wy;QNIa752;^KZ|=-(afXtki=g9wxNxAIQUfFe9t2^J zNh2KPsr8bf$}45A4p>NxqnMEy3sDaO6vI*V85ibS%L>Yhjz1JiK@^dS$4=--8D5Z} zF7$+Qd{iw?EV^rvc!L2{YjV$`x`{*BHB4KAv{CuT#E07bqKLVk*_Z3_n6WBR3N=Yc zegpi2jz3Pw@INo`EgTEnn2w;ugIyf1+X5|M>d`h3+b7 zwOa$OLLX{{O|-0NieZDzi;N&ag{57333iq>jD94NfuQ+9ui`W>p&A}*ja{N$>_cAV zTR7pG@`8jHm1{)C!xAI29?M9yjE1+2Y}Rl%k7M4@^#G_ z*mUk>oVHnEruMj6CJX3E*<})0$>T=Cvsh3TAQ01AAPL;Xt8Ho@d@M4g$;!Y9Zh1<)#lO5xuwllog@qe%LY6YHP);YfWXZ+BUKcZ2G4F-1S(VPbVvygQv|^~V_nMXAqmXYt%`H&0!k`RE{O zm)J<5WtVDPvF8wO^#rV8%kEd-}rVqsQS*evgq zGp!TPa!W6PFRcyU@>>kZE{}J`@`t|q?gEGXADFO%6Ady)0M#@?9uBsX`A9>lT4i)O z*Y}9LXw8bFYKa1ufBuJsM51H|J_&q}<9*BMhgvO{nRtloGCGQ{_MZsim>=x=kik+v ze(JC}@5p^K+k0gC5P5Yj<&F&2_i9N>0sEX)%c|XOv-c!1lHFKDW3T#)|Fqu!xU#)K zWD}I{n4d`*_@jzvI0BC5Gt`!vY{csyxo12HNuWlwmmBBO-l@}xrt$aPBgrx&UhG3BqBt%UX5SZN6VWxt~{-&ex;VwJJm_(`B6f5av8sE8V>Ox0+>Mb@v~3-IYzE%)&?ELz+$ zKsPJ4d3%`uZT>5|`Et4A8+Lc7d09pPB;pxh zN8j_ZN?6*+d$`(J0p-%e=S8i`r44ltr8mTY0Zi8OWM2AbtF%h*?wlDNlr9BjhtIDeZKH9NzApzAqJm7Pm@4?oI6&U+wQ*;$sQpry(-!+d3z?S=e= zIr=RpM)kJKgyq-hcbBebKG@kxt&k}oD9V~(y}WQSE-u)`vQ1-;MUXV{lYy}9kXMHq z2QoLwG1&;1URUX9b5|KE0^{bCuj?`1>li!uq}qb6H`%ot`l$@_j@z{ZLs>`{?C5oM zwIwc*P{1#Ap4ef(BlhWd1PmnaruzJ+1ve)9g*d)-rcr!fV04jD9A)bsG|89M_4xT8 z)ONn<6aR0RirB>Ka-BKd-`I|c9Soa{$luPTV#Mi)R3NWp>(-bu;*7(EESst(C1Yqk zl%|r%+Puhc6pXmuJLp@+Z7af_Um<<;aHpy5ur+pZ-CoqOy!kG9O^8>&tk^rX#NrZb z{B(L-e*cITcha>FPfsA{6BYs;eZ1P63i}J2A@}7PIz6Mq%T8S;WjOuAlRuT3_ELRV ztEb(yX3U{rB@#-v!53MvG0tOK{Be+@a;R=E*j-E|yF*{_K3jUbsq!WFF9DY$+_wfZ zKd3#b_(q=$&t}225P#7ZBA4=5GY4MPYzUQnomKmd0tSb^PQH$!9@;=84o9$Y@ReM~ zRqaV|2{f=cHWV(ccNLOM3mI4l{}ztJtjGoYfmS~^f1X^jBneK?|7I_*1lQh`YdVZ} z-*ZQ%6Dv1a#U}tLC+OZQU+VJ`hr*FpJZi(;Mv=EimUt$>*8N-}Vn3Zwam22jMf!tJ z*D*PG_Q&#*6PR9oVQ1`ags!k4IpujAy1@?t-|(@lNr{lHp;*rAaAMqr=l$S$*v>kc z-rag%1f73FT{EB7k2V?qF^!l9nGPYrvqLjiTl>Ce$bcVzL^kP&M%13_6uS7b7_3QJ}*ZWY2q}lYRf@t7O*4?wd6b_Q)P-c{m{H z=7!UCh%)i-4{~_h1Mzz*U>x6*c;P>YdJumb`VuqVL_93w`&|&-R$xjQ{4q#MDLZ#z2(&LhZ_f z!D8?5E;~TNdGCZbU(FXqYEY-Uq7!fNI0~XQ$fE8-d%;HU?+$UlpD+Knre?Z$5EHQ? zb+2GL_hBgp?~V6o4LhgSu~+jNEWToK5ZEKqApprVFv1gWJE;KnBX@*1H(ws{Z56_= z*&ve0zZ(q^^&4WhK>HnHvL)Udg~eBl0#*lsd0btCDde9)+`EX^}d= z5!=loy_2Pcf`7_&E!G+57^A4wnM!TwN7mo#FKD_ewE0Did9xl}$yoHk(RXQ8n>Vv7 zrBhq2TVACRkwTp_8(NB*-z0S|{uVvB`OK5q^rzgDm5*UOBB?1ExWOdm>JFOos=$0Q z_XCh5_hP)uSrR+PqL0-=9w@F*zq8YcS5oLu{8=Abi`!pnF3kvAp0BSXQ4N*w%qi;D zqWhI6H(MlTBc|Z=(u_Jzou5uQQ${WcPV%jNc_aQ1nfOI1(7_*VQtohD)$vL?Sf@v8OQ-84bt+P7eYCN_ z&s;SlWHzDwz7KDvHC+tz;JA)aJgas4N?AEnbnX{~<{M%0jiKzu&eX0z_GblA{J6sz zLMEM2$0oHIs*$x-$>g4?#+56;i};!>U%w$m2e=HFbzjKj{Wh6&xYaBZG}DnMvn#lz zbxlm&racmMan#JwF#Wgx>NnqL>ISlS)lVI~0zdYSA*b?Km-@RE4~*3=&o-n(>Vfl1 z!m?5c)O2{_FM(Z%uUxAg*=P(a*zUR}krFxngaPWlfSNRT_JzS6WOl=vKhgW2?1C$T z?8_NR;9LeoyR0NK^K5vVzRv248giGUDO1n}E=zgY5;|Sk6PG1+{@+fxZoomjBO9S0w6Rig-srofmz-pQ zB)~wAg#yLB{>~l@_Nv&wE@6?$ATp5`?kGZ(AY)ebL%6Oy6SBXY$-d6OnIFrIr z!>47MmD9ON`oi~%^(D(|o`V?&0Gmms+OLt?h4jz?r^-*xQJoaF2Z1)N$i~TtQY_)C z6ln2IN+KKw9)NiV?4^tMYA0>wFQ`+&cS}vhXb>~rDGeq!BL}dA#npNyac^#k$@EoQ z8+kCmK-yQ_5XcuUu<}Bsap6Gd1$q>T#idmvh7&pJ< zcaC=L7r)1)JWBCuQEy6Wz1Cr!@0Bbo3wbYm?c^P=#8*@KZOE**wO{iSHhpZZ7T*x5 zC>Gel*L=J-g2i}kRErtw%+tuUU31Q{|K#Ol$3VZ@!tm^D_wCA662Vufmon$W(}7wN z@6hw&P9$ol8q55QlDzvSk z#T5Pi3XN148H&@6Ucy^Jg2Ithw8S|7qF8AjFWl*NShP4Y>@qKm>bR0%$;vvRNA^TY z#5_9Z&3;~{lP6d>T%B=hV;<$SmrtkFz088V zEhRNgZcJ#LQ=CJ3%V2%czl{w1DSyw7DBDI)Xex(wL!=;j&q6Dgr&y~}YS}I3NjKdW z%A1OQ9&_+iwZeu0yLT^E(t&TW7u2!(_T`Z>Nza5L6Jp|JDUXzVmnZ1DT%G)?%}I!v z^VO1<=h!tlLyg-6b=3mhRDWS>lTKS=T4q=JobU<;Do@dEL`8n$DRatRzgDoWKXUM_ z!9gRpEf>vM+LY_HFj(hbUtyWb%T^EgF9gYz8|VVsT#XZ@#!cV;Y41@3)jz8}8jqp;vT5FSaV)TChtWllw;*>%xzdd1?OI}6%4$`qP17s=hgE%1nA5L6>lr-` z^sSZqmR~xXf~J?ml38+xNBjwf`n%5y*ia4O9whRAL1LJJ>6l6`SsrRqZ8tgHETG0! zqij!3k}#WZ`HtEh_*lJMW4p)dz%E9YmIl_@O*WG7Nnrt|FVq-YSGAr>7N0Xh35ZkS z{#v8aCn0@kmnwf6%ZrS>2uCWG%CAaZ9o`h`>8d6Ugx&c$kUJMEg?0!tngH-OX_AE& z;VvAhgv}@U;*Km|*WGntogT8RdX&Ux1ozs#TZYfZK+ig;+uVZe!$iS+xX5yyRjYfW zWxC1dt=lZuu7o0Tn;|r#ONLZU>?h5hBymlWSjK5fo%&|V*pn7UT?>=9vUqp107XE$ zzoc(v@$Y5v7H?$Lr|tyd@#+=FKEARsYvV9&g$NU(%D95jP#}JiUvxhKLT^l9SWiv+xJ874^3ywZuMW z;~3^$n}9m4FdjNF3?i72r;`nhUYspg>eOKW1)^rg5{3kZ;W*ntkMQ8O@fnE73 zH<6L#^64ls$|Vnj-oDPI~gN$t`Ir8H5LGl*633oAN?U#KgHCss2F;CoWaoXJwr9q%f+6mmTaO za@IQvB@1nkI@G2c{>`8M_}(3Qa4olUPD>58V^1{Kc|2U?80_A#iSjr5$|ZT5+He&W z;yx;Pk_W<~nMeLOh+N0uBAD{9^m{Bx;Y;gK+)C&qP?&8Fv$&AVOCx=pszt3WvP)i@ z7u0!i8WhIwiVKG3P2MVJt&48UbLW)`ZxJiqC`b*r3=U;eWYo7X2?UVhZjp3VxbxLb zhu$fYr(XvM|5>#!|NOr!TEVlt?RMWl z-{=bYi@rh{Cp9tPmGc^;niUS44s3)5DzrS4PdkAlf7=UD>T2LD>!1DPn{STWm96BPXRmg!9rJ#`4gUGx{^KD0=YRW8ob)-O zh!8o*d26zBO`md|JHYwSXY`QK37$jbiQmW*21A}8W*%Siq`@qY+7g|j>axW{wlHP3 z=y}0x(QOMS#ijOP;XN;g2BK|$97+S-1x1951xZe*C~a{Pf4cI5V%3uQocXb>hv{?D z=l2%K?}=W2-zX%W7Bb1F3kdz^#m~FbfUoJ$Hti3aCp(CrZ;KAK z%T&gYm2zLdRW!E0`jk=4MJsNaI}xL6LZ+ObcNZ92Uh1n$~14Mpq^kPB>%kE$)<`nCq@u!<2q$5SpBC8xIm`KE9W-&J{|44cVS_ zE#$sTU%sLv=2b|$@g&_k!xnz$Dpcj6#WJ)RY9t^}x;N$p!?^0kZ<7=C@6CBW%!Bv# z0~%eFFvW*HC?p6^LR0Sbgi8Vmz7$?mv46WdvlTJUW~QO{?Ec&~mpV(s)+fLC@pJlf z>n}SKUJNvD{4L=+9Tq3oUWD7T0@umwLNJ&GSkGRqG4bwvMLwy&B-(+gVc_L}4 zMWf6R3w@9CK#@iZwhMg{qJ>m8jCjewr*mFl${-M55!w>5?u$A5Nch)nq3UgUxe=U1PPic4>xhNWe8!J~RKBxoNvu~-K8K0#2#)K4(ZWqGmyq43 zFmaufXsw45d*g+VKOB^h_c9R?S-1JJ;?P$8?7ICXj6EmtiN%Utzg8FLRLWR{F+p32 zxO#vxpmHHkgYZ~TiDGnACD3}S*KD=x_ZBB45^h8k)z$SRSC;y(5UVm+5G)l3+7e5a zSJ*9775qXxbb_Mlh-w{jETh;p2o_A_6aRGCuGNXQ_^v%}VQ)L38%kRftOV``N3uVb zM`Q|8vKJE1w92mg7j@3}PQKE!Gaz4HOu9VPkYRzh#2E~=0DTz<0QIpm0l7;p2_0oF zDY5HlzmOA*RSl|U?WyuIB$bIldoBRrEzi$$-dgqmGnJQb(js1murtJxX7MmMOfpn_BJjsyvl# zQ9?MW9g!i@!LlhG@Q8I5S;u^j8C6Q4Btg$g?0%FFy%lwlOCq{D`hhQXsqwpX%!xq( zMMgwwSNEaZHM2n7(QvmA_$9_Sp0bRY&Rlwl78l}z0)S^te(|NJ?l{$a^%|H2d zg{j~rCb6r#F7CT-GMXn|#VZaZYp~Fja8p7uQ!;yHG(1a{ol&pnMW{!dwPm*j>2Mbts?-@2Oevp#UGO_n$GF_Ski`9r>OLb(W8bm6CT zaMr%-AIXy{j?S)l3)P|rkXg92uuJd7V-1_>UjL!LBHG+cow4oDZr)&3@e9K#`kGAJdaudv3q9pVaZq}3+ z6kc49^6CjK>3Hq_l5ZVfvM>6=>0NiN)T*sBOP(&s;3{aN@~7au>mpM=ZCp&11+q5i z{PMe;a{nfOjPiLyRfWAHbf$`$wW-vO%&~ke;XNUv%`;oRCCXl;@jScE682!2h~@EB zZ6!0kkJx462%`Tq-V=N;T*w&mJgKhoivOSd^nGrmJ;I3Q!L6}OnsUT} zJM|A8oH-XG$H=6=T*R7RU*(|fBz!o)=-WRL?-QFej|^|*mnsyx_t`hd^4lW-jrptMH)8|#1ggW)*>2hMsDeXj$P8GzqpM}F*r z@Vgj%dPrq!qVZyj(4J!F94Cpk9}ndxx3jhs47j)z8 z9jt3=b%XF@dB(ybo2xFu6@22lT?#LZ4q!hLw`yA5sl0fQ_ad+i{3!6`o}MEx22?}X zWx73<^w7A@hGp7`zTVG7qGl8(;i8sGVC2NvD*98Xid-mEED3E)7ozND)-6V|G@m31 zLA5O5TF{^ma(QoVh_(`LRqS>xl0mkW~kNZe4R zNN}G!xPULLs4?$A-#{&gS30I?F!=dwYKv#(+m-Ui1TVC(`+bNH_O2H>3f5$`;oHQj z%3;yHHH-{mnTfj^VOSDgAl0KsB{yw9X{O7ehVju9EhmM6`Rw*D-LOp}f~ zuv*0d4J=>;kGIN5)~K!+=DzW0Aaw_)fVoVh=U;7{(}o#4-Y6$yNqB4HnNVd#yP|Q% zwrXF?X;Y_5JsL|KcRS%z^ng~o>p?&2Yx(ryp02B#L#E&DqG7jVFxJ3U)qk?*yjA@t z^NUuxSLmO$=Cq=IK=+|5%~^scxO@hN-Mkb#9>&3QVt+`zCn1i4Vqrt&f^inmiuK%X zmByj9(i93LLE+uA8^%xAXfs|Yi}@YcACgF-gs>55ekKC+!myo)(T2;Y0uUFY2H_JK z%ZTvJ>*QzGV>~{?TZP!m;Ct)3g#pd{u~6DOhmuiOkjC~zjD=`kv2pV&?D-$k1kGM; zk#7;C)7((*aPqDdF9tCAKDcB?6Ld+sJi6{P>KFUSUX}tz)b&vU!*SL}rHruz7qL%# z^a&cKZx2Upc4a7H^x%0@=&tf`y3Kn0fBD7)V@-hjFNDV{%9>ub4ZZgT(2mxk`2>>= zNgAt!CV5dE02D2KCn0z_jc2(RrI)8fx?Tj_o%1~*YCD1017h_qd0(K>mlG$z|1XID z?k~{J>UfdGymAP0PiTBz4#$H`eo)(^JRl|bInjXek!SrsU0m>>vf|9GHuNx`65bH| zZp_CKI4kUwC11_>MhG-+wzupzn8|D6nxJ{oo!nPJvkf%*w0 zIc!rV-qBKQn>%TV2o(F{wDfo3mM(iy7n+OG`zlDf)HzDS09DkJRfBqZae6!LpgL-Ilf^z38RXSLjU#la8lD(W=o5 zEz}x9i!@M{{rQm5jWZ|M7DzauCC?)3mQ96Rrb&}hXsTjsaPqiUUt@g@! zMaSh#L}0T5HI}a*^yGmi&`Z`yK4e_*2YIdL_oH;D7X5W7MLJAu=WseWn_o#%{`5#b zn(?a4V04YFuiRBu&iKb6M|Lca!Y5`@pEx#T6g58#DJL(o^|^G~Hp}GxG&^L?H9J45 z6%?#|IW)R{WeKIDzaCO$TLx5_RNGJN8tkn4>pm4U?3eu9kIiw*$-m7V^F57YjQB80 zIMH)PAB)%OYQ1%e&1u`axUA`#-je&IPcO_ipQmGm{S*ClFAtfMFoOML zE>9&VbLE&fjg`#M`tz^(fO4En(o>~!r8iE@-!)kqa%X!!o*en*K_}CndCg!X5k}BF~TxWY~XDn6{A?Dj~jsm|6zal(n(au;sJz?hbm zyrZmDaYc5vt;io16ZEZG+Q@vS>%*id-<$aa&XYfq9Gcs{wFbkQN%f~vCrKYkG^)0_ z$z}|yV7|{J2fZsDuYX$|SkclMF(at!O*eH7+VCo?%Eb9|T>QWM$$j>{8#+D1qi0z4 z44vNLqSnxXq4nXcLtoNvpqqsl+d<&+)K<2>OLIIQ|8q(AMr32(3B14(pOKxiO%U%d z?H4*)2{RmKTm+LoB{FH?Mi#?mRyaG?`6rUzE#$s4NgWLh9Jn4GFZMYvn}nSaMb;mz4LGR{SbRqaZu zxHxG~Jq$@zNw&Y0`8w+M2 zFHpM*5G<;e7a=Gmglt=O@#NAL3ID5~e)Eml66Lx_%G4K> zq&Ge}YjLQ=m)Zx){;=N?jgZ$>jwVMU#lmrIT{zO>FJMdQg2J`RE{w^lFe$FQnmfYa zJ*$FqbIZB5pc_7B--?(61W$t`i7Tt?WtNFd{e+-p(id;9vB$CpzCUZ(H{wE@tZ-JGT zEWi{xB9!Mh)T-GaJ(A0%V`uApkV=Z8qn66&NIvXvqOZF;D|(*WAKLxXc(CHe+QAczm0W>K0~_2iV=(ZqmF`>(p+JJ=UY$5#Mh&O@)F)eewW`JdCg2@R>G2D zA*johzUJ|OF{GoLKDZv=Ds&KAR{`SHV(-Ws@eAa6(iJZ0wClsP@Zf3w-M6;k8R46b zxX`Eb+Ms&a?9Sq0u$}OQ4t2r#dbc+OH`74)1~a)5dxj%hknE-CcwRI^`5K}E_N><( z({*34#~0*fwzBux(v+7P-s7ooVu9W^-VDXgklf$YK;TK|Rq&=&NNxwhv|9kG-Sl=K z1ca2z)UqtE9X9oRUif#4_9sO{cR1v-*BEXVXm>TC35Llao^pJWX4M4kNVJw(qr={O z$@b1`i+V7?nD?S~_rx}y3ckEC^mT#)TCR4I4u|w>SqXA`*C#^iocOcB@w}T3@!m09 zk9sH=Y7@QDL#9R=Mm%ul(!GQ+hB*HY>V;r|3^jen?C=FYynmaH-rOg|&59ly^BI!f z8=TQ3=_(n`_6jLJ8j4RI?h@ka=H841_6QBoS76O+oap!L2f?&h*Z*R_YY1o0y`68j zLw~y~rFVKhoYn!`?|5%8>mfCxJryToJ@4*l1p*1H*KitFIh`oL`K7u_eC)lRG~f|=j6alR)oGS<8l+iIm?%v~LgUp|x^Qxoh~Al)-y z?M=4>FSxV*CZq1n>T-9hl-pqL1`IaZsl%z>@d`^64sk1!swI~8T!=-V>$(dcpo7-oM8j~GpLnlfLrex^j{ZOTCYV-| z;UA+-Xo*7mWl@Lnuv9g@clX)xioKeCL=0#AU4%d#7E}gH9CN>%zmNE$GclBHjrF^L zc0Q@fZ!hXjefm*i=mg)No3?4TSn`%+@!S+yNN%f3PkzF_NB2j)p~V#G%d@4;CF< z9HWbis&bYaa$Yp3eR+2FrTyX5%BrNR53djO(y)K9&59{EJT~cWVf+WK9EH^#cmRBK1(Nb5lGczq&}b-aya<>?y>b)jr3JNiK{JiU(Bd~f$SrC^{QOWrpUn&-`d zWFHG3h!iC*7t2a~iN{l_%Ea3j6FggY6N=v4tN(*SqpEFN&=&Ww{!yB`Y|> z)v~PBc)HizKI^8e2vl%r`Sv*zC0!o&vbK4lK^o6lG3${Pr)$MO=#EX+jl~UDz#z`o z;?%MdlnNc0Hj~(*kBL9V6&~;n%ce^mpOQafeH8hotd6<5KTAS!&SM#ZidqVjvMFGH z%rY9tlY-g;2NGxe=x`x90jG}l-l-$@f|ROB2hqCYbOCHz+CzdjWmbGHn=3sp?c;Yi znaI;CyBhYJH;M}SqBNE@?Zt!UVSckXEIb#xs4l15UZAxIGc6fDIdsszv88Vx>}-Bt zbe%!DYFK<#t}FW6z0MC!%sO4@;s-iC?XrU$8h-dz30_|UY_?qNVdxWTcUSmk#dr>^ z2kenG&rBi%Vmsq{#PT_EMy6&~>pw4a2{_jIgFVw7MzOA2p*F1Z;;g>VvpChZMK^yq zb97-iF;!cO7Sinl66AHSfblkvA79$)O5g33ve7*GTPtj5Zoo~uF6~tBZN4-0NEk}H z^voFg=v|hA$2?tV1dqY4RhA8AqFUB`>dEf!Yqe}_GJcz)tnxdv^Is!6-g*c{Hg7vZ z^^)&o+2FZ{+#{Aubo=K?kR{{v1zM@;bdtV;80j*Yt<*xc^D==Q}69HWO^w4RuuXIp0-u-lwY=^zD2;9x-M{BViyzh=X$z;xMp9 zxuj5hWngu^qdu;gW}xqo`Q~b-ofEpLHA#n6as|JN`PCJko7N#j-? zOTx`yQNEjt4#~JMjC`HoNHO_bt*d2a|mfj2>h<3 z(jlgoD*GgXkI}-CXgl6NA4Ei;X#zwGH9Xr+!~!EHTQ2KO!2k_21iHveDbaXIBuJo| zDBV0k@(Q%-!iLc!8u6E&svi#ddj09i3A~WBX+?I)^bYLfvu?N_`PTpS`{trTNjN=O zVYX#;mFQLDh{I>}h%a#1Wt6ScEm;L69MpSg3|A;}yii-KGi(J^_^2}xmNM5_YMtl6 zEq0wj=XxV!^0>4mL-CQNZFa<=8gl5OIt(pt@wb`l3$=fHuMPr=I?F4`#ZhHk-tZAi z|Dc9U?4b?)V(;anNt+ezwtXZZUHldTh$T;l)Jnbda$IM*Q(M^K#NNKs7y)Xb*OV<-^)h+&TP@+Y_bjTu>s3X!O}UdcSFASE}SiWg?2-(ukWF`gvs_$KS(M1 z!TV~+tw?4YskhXS`|E4^qON2y!g3@#+#oCbEo9-m$1okC(>cb&Fk5R`HPL=}qKrk{ zuAd>lsYU$G{(y0G=2bTgH_X9(Ya{uNJ2y_77G_j0?tK+`x45tGqc4dbI&S-uZ@y7^ zWg8zV0mBn=*?>VgWXq@>!ag(pU8a|%Bfesd&yqlI)DYR<(`NUd9RE3v45hcF7Z~L+jG`cc zJnlvT+pnqz5{pol$EmwJjNkI`k0iF1gRdKrcLxW|+9=MQ<07NR}{k zJ(r3-0WCy>!2jspZ8M~e-o@Q8=p2|NApzB709KrSqswEMi*y1Vmy$}JFmU6@`UgKX zV4d2T)ws6mJxclxHVT1LF*(aq#~)d!hU$xigVo}K##@aJ1EGGhc-6cA{D%i!K9;IB z7QVNaMJqcauUd$>F~Tl@7SLsKj&$K?Xc%&08E-1O)$$Vw7YU^1$CfvgA)b5R%T)`i z*o$|Em}6tWze_yh;ul<+tvJLIjZa_C%q1=+Nw99~Ub0iuJ=r$S=a{*D7`wD{lESG;gq+nSA^%1#OrNoB{^OtZ@A-^&H*^t` zt2YyAPxb6zUof@ErsiO$gl$F&zD!Un_Uc4E)7Ji8f#Hwuezs+A;C~BC;`DDNVFOlT zy?2ttdBGLGgTS-9pQ$wbQpCjsN{It!Z}V$_Z1*3!ygHWCq%7 z7>{&x&ZP4w$-sV3tUQF0co`5h1KHZW}ihPd_$*ig^5m;^}ihi=BzB|kkagFNacqvXvY7ezUVLg_l zz1P@`U=Wpbb&A+iUgE4_2@v*%j_Yqpn+)bKe;1}|)DKcG9#?H=AKz}K%;7MdR!+X- zMDzTyu#=q)VJ^4xBI(*1CZl-~b%PRcrg`3@+TF_2Z+=ksf{{4iEPGFe!F^c0o5qeN z!qC{D>rW^pfBX}zV30CM@u_Yrz!59K1wR!8jNq282_wYSgNipw(rNjW;OvFTMSE%Q zd7((9&r6x$U(Uh(FA{` z2-3V=3&+RG<<)rjOkR&jxG0ZO2GLda8n73d`7?3f0x5!_NZ;BdQbolghnMpHGY`6i zKsxn`K^{m@lr52;Ae=DR&%6YtpJGMV|8H>+EOUae`;0uo&pytglosXzKjIY28G=rh zuYkxpp+KoE4C(8)=zbz%GXlzG*DxRoI#PCIz4up%;qr(KtTD}82TBDLS4u9ST%w5# z7Q-*$^TPU%F=`U}#xp_R-fJ)#X9NiEvh4iO( zWkn-Bo~^-L24Y~RRv2ZD!(mkz{sNqIH=UTqbgn(K{OK-@J#K=&^r%`4)kk&N5 zb7OQywu{OMl7FvgGaoFXi{9kzJS3L|3FFWO1O`KYGp_)Z>8NAgw;e1uNp2-H!q*H1 zU^l9@WasmwJ#@Y}6QBp9TNy9*i^Mc$N0iCyYYe*tJ!+2<>wo=;0pKSQp&*)Y%k5lE z9rKuJ@zr9l>8S{sP^r8iiytfw)S-Y0PcFxFq4CZMRhhLQe}`SE9ro6_xn(dy8FHSAykIev=RcBn$a#&mW$Y(A8q;E%@zGT7Q0z5kn(DrO zA}+r;3~<{Oym8;<5DBdES-~WKCH|NG!u~)~t(J7=nR>GDDQ~c#1+2gb6rcjBF7Lv0 zb#+KcC;^GOm87-BB4S@+=(QM&rg_uB_>nx3*G7GBdSs6|U^BuAnq_5VwgrA=B3fkoCU$7=C2~i7-%mj#;KrK zi!CLTMQpvTHLZ`fTt1Xo7riL~(fggc>}yK&&BYRQSXzF&Rzc>1G6yr6mIWny*c0i5 z&yaA<15e%u6Z6Z^Il1?d*DsO1Fi=MaY#Y#?lF$(mBU_9FF^nBH;S$2eqm^>TUE0}7 zt?VajP0*i?m|7h8Ytrush_$@?_=~RT8J}$keO5_~OK)~TYZm2xS+!71A(8k>^t7(d zrPM6-9fLe8qA;4J+RJsyxDUrqvtq_Uk{1flDGw}Ru3|{3hSDXLERm6^xUEXVl2O-u z3L{lxeN(A0)Nwug@{mKZkvq6RH`ADTteYN+ye{&SU`SCz{AhRg15OWVtdH4DB>Mr+ zjy2&qGTM4BW@<86k3rXeP>ndg+KB%+jrE;gl57fwcXMn4oMS@YNy65>Ov!XMeb^6} zRnw>HaTLV(8U92>Q{5rZv#$&eXoYc!6DS#V1!g?N^73 z>RMcQ-^trmdqtqJV>i|N+m=KRej?b}3|g7Yp*t%GB2!0TPj))AL`2eUv4;fcx^|~6 ztI>+N*Jjqy)2%)z?8&q`d|@Q%7Y^jvLi07s|B(`o^|inr_@Fl-8D`K`2f)?M@!Cy- zVWhfs)Z=Uj48%v<{OhBhQi=grX9m1s;_11IwW@Xnmg!WTb*x~o`nh763Jzi?l^}C`Y3#n#moW>&1bK-D3 zZfUoRYVCT|_U;~${(nTtq%@qJmHlGNlfhQxxsF`ca!7nF>WwLIXR%fnI>M~A(~{gq zbo6%p&Duxo1u{T+v%`@vZtd;nM|p|9xfcdv^6Fv3>Mpp=uCfph%Y%9?%W;$MtxyO| zq~@GHH7^`E&|belvF0f;zPsdcF3WWV29?~Z{f*lP`?A_8j5?&di9jmQ>rLO*EsnuAYOJXS z)@nbg^ndX)a~pI}Cth%tZDnvA>8YZG&Y8sHj1+2i48f_nRkfAyh+}@jc-gc~TV>`S zg!|SgXzF+*DHKDhpB#1G+QU!0wlTk0!Xi^(@Pw1ZOq+DU`^pR_P`f0U-?L{!9d(1} z5P5kfq9;95qV{5Q@qa#<>Z8!=F0DjjMGyRRu^7pV1A9SvL4>~{FCeF3I+f=|3tnr5 zP%>o}Q}FX5BkLgH2uA3G|vz{J8q zOp*`MO!EzE(46s$Cu65vM$m{z?9Zh@MiZ7;Ukw5Lm=sA{dbhTvYH1$Mm6vbk7EK*I| zL9`M*XL(?g0AoDI!bFdXZ{}FIkYKE7MMKY*w;YH((U4x}ByJL+Yw8iyb?1vAcFk}H z&%Ov|lvnJ}dSKy_Z8Z)8>zwmO54*I86%e{kZj_7{nUU-IS}xrtQL*VFOH&3-xZxu8 ztqYGKF5K~K!A|h2wxqio2|>o<&3rM#cDvx*Fd>uhB1}W;Z~g&xC1TLhF@w=U-9Lmt z=3NACcJC!j(zkXcAZ)a5Eh@aOvn}OSwj67T+MZ}g;*6OmzQ3Ei*s_IuejkH+{3?Xpw{3JzLpHSUnv-pqgNAG#wAc0TsL?UJIlbF5)anz06=xB*~pDnfG z3gtNyKLa{BYeHjQa1Bm{Lm81p1}N%SjlC|nGkI0HBq)ZBUxiodJbfRdfY>6`XCf~% zdyeKzguF8?>9(E^s+d3Ir(3KCC0_Q3J5>;KK@%zs?|O?Ne`*m|%hgOztEwey%B%*& zJS76=W-}5o%u9D+kt&Xna2QlrXoPLx{nM^Iy&u+sr zX(gx5&0tSgBSv_%SdG|mB{8qH(>!)|dTcf~d(e0Y40lkU-NT&r$PY!_jsuQ!I-l?o zjRaqBjer(3^gdn0J$eywN^@H+_x4TGW|PZMoehnlYdY@=>5#T8VXS{wV+U&sdhs>1 z6tc%1Zd&FK!srzrGh!h>9CGte$jj5W<^c_icn}d-zx?St_=R|vlU=RGHQrBIu{Q{} zJ+Q13C8QZ5`HucX9vm-~gcAgcX^Wh30CDxq&m==|P-EBIJ+ot_a_OK9#c) z^^_V!xQH~{k+2eZl09|gofZ2Lj0onI-Q}RRTi%k)_<$l!mDGtz??@mZlH$Sh>4r{7 zsC_j55D9}KlKgnFa2CP3TS)m4qdILmG1d3Th;$d2KbYHRZX$e#I=9S-^1B0$WHlEM z^gY+}8qEdp+KR|b>i?zfZDM3evNfSwRo!pEK`cSD^O5UTWvZ&8{QsvURt!H2gaktD zJt90JJi{YA+C4nuMy@~)X;?4<2?=PicvET(@0CO&2GD32z17QpQX^)?f)&z8!vYBj z305rFaK3ZQ+|4~a^4{utsJd@vMwlJ@H#^7dobQ`0U8)^w5-2|bUlbiFk<^_si^;BN z7N#Q7zU$rlB4h^Pd7mcP+dYuY*8$_#R>0$)&EHSKI~9t{lNjKNX>w52;dAb_|S9gXb?; zgaUIoVm|c4sg#~&FhE}bKep#PjG68bje6>iqPI)`_CX`OXMn#=V&T79sP)vRNwly=rn=* zQh8>O`@yjU*j;>kw1GROzAGw@4b2ElsKy-)Uf#)vkkfK{^xbAZP5!0ye^s9^0;>Z)*5YJ#1I` z>d}5U=4Jk9t!m&maD~_*jha>O!Jph~$iN1yn=Lqo=rC*T2Wk@??vG4QZL7~NwfYnu z&5=>PQ&Y6dE3I#KNA^=+Kt$-D!0Fmt?*FV^2T-}~nypi*M}LY!am%ZGnIFK)b=ji_ zqR=QpfCJHHTyU|zKM`N$TX{Y08>v4S8rNf}dTHRzOAmeBqco2O>2z#eWxV>j_n(*} z$X$gEF1y=5UJ}n1aVm>7I;1ZFq$7--F*HCTCA~CDK4ErnNcdbyG{0%q=EFFgyLOe+ zq+ozdJr2ysh{BTiZd)Q_0@8L;<|~?Ws~mJ9Adjb^F3U%D#9OzO&1*)zdBF1u{(;V# z(LcHqZYcIk(z?I10mXH?`OL~mhHrmO{nF9F1Cr;WD)sRqYQYAWtH2_K+N8It;cgheQQao+^NGGHreQQWw-DGBK_(JIJ~F2 z-E}06W{`0;70gKrEtqwOd|%LJX1DOP>aRn0^=ijXH{fX7fXkIy&dAuinte?b)U?R; zMsgzy8X`3YPQeUt!1q^V1FiFGtKjGP4X7#W^ZCvGeWRGbYD=2HcqVSCVjzt?u7#Ov zg$u*=sC#IqW0$BiLP0c6^qkn(LTw9LIJ_-Z;9FPbCCt7O+MSs5><+PIAQ+%_?}6q< zJ9^bud%l3g+QS=)dA|!%A{8^aAntBwXN0;TaOcFORt_xxC9Z%`b4DMWR+t}gfz&Vz z-K;dvwHTE5RGt`wxr00Mu3Pq=;}tU#i#-D;jxVuvwzw9P&^`@CJty0vwf6d(zxaDJ zA*$;O{NhF<^zmshFV?3HXlNc?3IHd7iL1p^F8s7{A%i~I0G0O&U*cj^Bz3*8veK01 z8LnC4NsFhIDp&7jXJ^*GO6QWgX=j!$0DCY;8VI)6ijC_Y&$grCZ!Lb5AO$%@td*a_ z$tH4Q&w=3;M7|TB@u+;vcNIsra?B=@226lOmNg~K0uBTV*tta~WwkqIsnEV1pgK5y zlsZ9>0K^%$U8El%DZ|+(9PH&W-hz{c0L-Ei!iiLlt4z7n1hiqP6NBc8J=L60>I&lv zX*mutgKG!XlvE>X7yU|mPvE;stf&;-7b@VGZO0Y(1BLGnkq&uF+gpADznS_IKH3Ta zh!o|H=1Sh3>qCuKu~vLAmqi6*t%f6C-r+vz^+(nzDrbB4*qh_HqW=jZ5EL*{Z<@+3 zx0K@bM_MIVhDUj!Hso>c&~?_w4gPOQ1UXb^Hg&nv)s!>^4rvxb@HcBJr^ zLdlKL0P!BP>G0jOJc&qh0Hjg@^cL)&{IJClij8ayMC?+$NMFE{t~52c4br;rXmy@N zh}Tz-cY4is4XvkvJLRDk_CDSjNI6>-x~}7-q&HGissd41hZ9t1I06{51KgJ}S}Ty> zUw>54?>fehJ|#JL{(k)tjiw#q^~WtZH?=&pHvtGaO#+FunUhCb`iETZEt>+6^l)@I zuJ9&Ca!BQ-sc6(Ha%jX$+X!oy!69{+^eFax+H0oyYhSs-X0qCGq|)?;6sDFS!yFnRQF%>2|}@u$)@-I6vjM~{B!(VjI3q^_{M&M^U40oF9{dWHinPt;<{D5 zO`h+jso>foyx4Gbq)mhl@$z(HXcjx;P<&6SF_Z}k2D~ZPIC9G0{q6F1e~Vc`%t9&2 zhL$6uIlBYYC)zC~Hkn3cC~<_pLM=}vd@q(FagZT|sjh^a$oxBbbZYwvmoPP#X5zT0 zX2z+nZz>QW))$&;Un_*EahOe(+_V5#K&QXaop$^;wpo1oc5~y*6Xpjh**Bl#oO)m7 z*g*s`5*3huO8=$?zVR2p*6&v)Hu_>b_NW)fz!lK+Y*;551L2@zff+ZbeFnKoj4lx0 z)F_)7cVYjTOhAl|*&m5Vr(3FuHNzDVZ-{uG3-JZhJ1xpf zNmJmW5(}GqACd_WZBji|%x4yxdx_D~U}i8UvwAv;A!$ckVru!u)`f}0@w;dlN5YZ< zIJb47c|#2*J4Ogvt3raq$c%ssNUP_q@6uK-MQ4_unenGOj?!34clJ$lDACg4k4ZcI zAdD47Mh2+Vp)|&~vjK5;ENcYRs%ScZ@lU30HX2uN+*YQi`SLt0%Y;-UE|HA>z}Tv& zt%FxD4W=|Oy;&r|O>-wh3F;(L)VIY@sPDVFP|pgCU5c7~+SSFe{D1+?6imx(pGK4A z5{yfY#~mAniKj~Rt^evB+y&)m2jj1D(pr)!^P*5FtYd-O#EPSm9>{uqgtrg<7g`*; z2A@Fs<9We zeE7fq@@Mc>KbOt6gcq@|EPB#ANGD~sTl5fKNLzNv&U&Kc;d7xx=72SJaip3(+EKiS z-rMRTgH$50nLVtVM>`DYi=o6oGO{8tWUBmZ5L1 zGmRMWNSkT7_G57g71vUSkRp94Ti#kH5`$^&CdpZ7>Mq>(f|n>9OkOf1z9=sU}5|3y{Fc;cEOnAo zDja2)F#;!fZ3^zP&>c+{FX)-Kb6W{{t619j6m;6-JRx~6Wwy@{<8Y=We!>!f0Q2)GdwVd`J=_ED-`hx*dw&miX~zT4%O08AF3y7`+?!*lvj=YXbo7Q4K8^{ zS>a@iy5_=I=(wt!U6G%Wa$lS|?Gb3PHwu$x+k9Z^X)aN@V0kFG=H9H~-BPY@rNJXX z)B`GZ7A6Hg36fz`fn}^&!kKYgQ(iCVl2PKegOBs3=+T3uTM}P_8OGgWK&Xy{PdNJxxrXHG;FyFjL zL`kqx7RV0?gUsS#8vnnazk4T8Ov*J(^f?JQrOva}T_wMP+TYoVoA5gu>r5`39%P+8 zTE2QGIIQwY*e<9JYx~hr;ZZkXEu@OK;FU*M6XJ&uGj-vZselZi2CRT}*GPXq*wy6? zQPA}2gRP_Hp7EqZY8_k7q-M7uI$Wl@8s+JVuSitmp7`b>5(p2$P$)h zKTw4qtOAi{2_SCPS_mS_)@xiWGY{%pRZ-1dcAHIJ)zm^7 z0Gx2bPxVkkTuk-lu$=l-R3E9-rQFb(QZ5=S*gWl(V&eq}e_D_D-(5-yi{r|5>{7`MOVo8N+? z)_Ny)^>&px!H0;$>fJ>GK;0bZGt9w7n$#NL2Mu&?SayY7+voaEcHE2=&axUu#Q7Qi?O#d+U(OVg zwOyZScAgE#`fyZQK&AO`y(Cq0#U6J;YYLI zhSI+SY(QJss#uO4>CEL>%TO<)T1ZSnV!)_f3Kbp#C}~lcmbCG~QWy^sMs3`^+F5wq zY#DkIkyXbY5+& zV%_lr+7UzwP0g>UG18?@yQWbo+7%dGD@+Q+JVBSBxdmaIj)sL6A!1B6R?{tCe>~bJ zl8*+YQZb-fm51Z&-)S+))<9FEMYN@*V9A?u4QeY=P4edTw>chWsScct+5?X4%kgArOE5a|7xc%!7RjxfZ`QK2t;wJIB zskb|tv12x>p$KsK397SwdNeBYlz-qJid1D8+SmGz{}9AYrG(Bv=2e1w>nBbUAy~?v z;&gJhSrkTQVn>i%mW@z1y-a7DF~;ammwoytmFJnN<-z)fa$oT0j?1hm?B z!Augw)_?L-XzBw+Yp%Fv#`N^0LNM4$F(6!oV^;J~Wmi_=IR6&>?gisx@TI;`!5g_F zr|23oPVjg?Cty!IF0;sz#Sx@z2+ zd_qmXu}^3-K(xJ43E5D$o2DI#^9x+n_<;j1G-kF>qP7pmMS;GWp?!`814yEVCuj&w z-VYtTb#xY5eRq0pDeTF|q05JE_*cI8D-7bEHMoG=;5==Z5xt`0O5OJ30*FlIeSRvB zb=xngR9&ordnpEZEZb`~E@Kq-)~0N=Um;n0yZV{BZcdUH8KNR9@|?f{1TuUD%LV~# z1)gB2>yNYfRZK1C2jK|mbPhmgG2q&n^ia|~pdMPn4kxXR&g80G?dIiWlV9HK4KWHsqiYi@N}P0g(s@?FqQFmn_qwh}YBTBa3E>5i6f2&XPlAUcCDE0zhS*EuuRe%lD@3TM##Gl!!~Iaux8}TCMOev zG?~}m9@!g>wxg#UG3-}nR~JfnE#D7&&L7vI{-}qYktKs(nl`DbxPZx52oT_!hCTFr zF6AA#q{bXjGhFQ?%ntDl>z}0b$776r_g)jKlD@D{RL?zA*&_0OneQ6h*^~8*2rL@T ze8=?8U^{jV*UohoVwolWN#yIJ|*MDqtLQMmZbJtnq-4YABxQfGDSV15Lh{?i;0m z^=w436?|lckD6jGcPgd?{AqugVXhJCq1aaY9bA@?V_D(O0zOxDQ?FL_>_8OM6uc#_ zNCTxMSik;;itCQM+%6Q+yIBk6+PbbALxq}c314b&7)q8@rzc!yl?9&nj(aCC zhGdvksX1}M^h)Q^s?5i8Yf=oK55)ogos2^x0QJ)iQ6X6iyHr z_;zlY6^Cg!$j|P|U*jQZ&2R0DIbHtcuU~(Q$@u!iUioD=<-Y1=Pv&hl-V||a&`_=> z-BWcm*BHsRT08nCjsDFMFShMUd(ui4K5SF{2nh8&jX-m#$7>MSeK;m)F062wrMAOr zi7lRer@o~TdB!_=O_P8@clx6*9SHe^w7#UHk&ejPkMMlV-R zaeTqC0#`h}xh#w0hO{zAA13~2!~Eg%J{U!Q;BEC#796t8f3s3Us?oEyESQP0Hx?$8 zibkD#6Px#WbqfJxxs2UR6+2O2e`nK=@zs>R=ZGY)GVo(T_<|QMsCcqP2#Qy4k<8vt z2`r$eE-@608N8YuCQSlEE%PspuBiId8u5dJDcDbevZlxyE<9uf0Z}x?mEzQlMyRf> z82AnsB?wjp&R!(VO~73^((Dmv1rQKj?>2=a}l8&5-Z-LpSs72fG}AQ2|5bEn;ae6P`}` znUf=PPnW_k=#*CzPf59%_3KZf=h9&ZZ?bfe5^*f?F0E;@LZE3U3@>QGPUIKqE7N%G z+Y*FSDG-^c9(Wz}#gp?(8>N%o58_*Z$xtOjGR5+44FWGsvgO4deMqD3GD8=?74`gG z0JP48UklTD$sswF<_`-}kt~B9Is1-IO+}yOqe>q4E)8co=s92F6yAfsGN9tTltgE+ zu}C8Aw8gpS_F{|LOJrEYfNRThCm|U<4OxnaGA~~Eil$4>7vbpw=7O+r{SUu<_l}Np zg-->*hkKTjB7ZdLAZflT+-91D!1Z(xcmqElI*p5Ec|Df6IyuwnPg=sdgC)d(vUH^5 z1-)y@K=jm(#?l4vp&mc?~j zR4*ly7~(pkDs5Kozm*?tcN{BV_JjMV1*fLmSmgHMy7>znVfKP?pNqd5Gc2*XMTd!K zl@;i7z&A+>pmU)GT93NNS2haY>2U$luTSNAj|MLbyz7<)n8?q?9xqx{*r9A*a%J^A zgpX8rJ{w1p6SMMK_Av(-a*628HBDWVQ0xJlh%(nN1vt*Bg*$sld4;oft(0KD@B7iD z3}?!^?I^y^6WqC~EMDjo-gTe~(29h2D|ld5&)X$eXu#*k*qzHY8(o_o$@lGsv2UsqK?FLt7QWFoe%wmE5J&!m#J=tAmAn(usp zcry!4_1rfkC!ZwwS@;;pH0GD)Bb72cu#RaWQ_pxbc_!0F+2?%Asz!1u+hN*5d;9wL z!AHrPEam3;za@M5SZv_QH@jHrBs1Hi%TSSr4g1`oLBj{MiEZfwK-m0toma0vg7)aT zeEp%p-tqdw#7x%ZgnD6l-n}taT#57#UaeQ1-qfD!c3&^+;yIt%1y=UCViOyAto5%N zw7b@IMMsZ{m1Pv0hsPBGPg36YB>J42~)|Xr-PIZNFBg*m> zYubdYOuK|iw!qZ`LB~A1%rRPVjT&+d*)23o8K**;wE>40YwA1+ z&N>zxh7*tZxh(fe2tgxvgr{XwPAVL_W4T7cd(tA!?XZJK^;nue362;NPNe} z_&|NuHErRjO-e$5!CFct?n`0e!iFYPc_bT>HWb<^`Au?=Bd|g0!OJm_f&)g4b3n{d zla=EcsI zjz&5T1s`i#tw9>RE*Lig5q~}+1sPgQ3&X`m%CdmG(91D8Oo@Vf4sdL#OW{%Qfckiu zG|`JpaUL$m5XxTIxjfcBXV&U17`uzqP{1?VT=Z@0UR7(P_G#)Vz1x> z?G-I|aGhQI>WX-^-ppaatPaAyuCmkoQQc#mlGO73ml$-mzfwdPD_u{|Xl`+0)#%xd5tgxlc4ZR>4uXHlINLyE2Dx{N2)R(bN)ba~w=Qg%> z*B{2F7wH8KM{fa=Z?aUh60gTa^y{?@jInWedSD>WcZWXgCF$^d)pH$D?)r(^*6yY&u7sXf<99XXPw6_@1EIJs|Sp!)&i!G(uhA|2VmSG~3NX~7Z#+%5%8 zK`ZoHGp08SPR5C2>tFg@9#S-!WxiGhehaKsV9V0n0>N0rZ?ya3jJS;s0cTyiwtL4w z58G=~xAkU<1&@y|IlDwDIer3AT?^E-94jamXM-JoloNoX6;OF$YWh){CLT?X;=>0R zZGdQ-q^C*9fik3m)3oq?FW`GB7=l6-3^%-rO$Y-qW1KAxy(pns0-Ut{L_YOSB^x1` zv{9Hu9Qw2&yS8~NWth4NJkfz72_KB+#MOFjk!HWnBetnUwp&MhaFck?I*vyvB zez%7cTqMQd_zJ~nQ6NWZNjSsQ6+ zef5iX?=<0oJiXz@YR7~{41v0Ca#RKsw|L*ZHjnW0Q_F9ZLK2)*A~Hb>4u2s9X!0Gu zG{1jzRQ;gd+)tEm8(e~(yXLKA79Yb-97YQOaix(Hl8%v5{s3U-^fQ85l*W`)e2Swm zTO_eVvj+Ub56OF|OO(f_Bs9_KqnNT=W`Mw0W zBc;t22<>qbANTtYK4hz(o{Mrb)JVLd({vFAPMp#54pJa=A(0>AsH5LPpFWFyX)5jR zEi?pwk)%#Q!qG}jMXAx~0HRTq^Nywqlx3s^wM~i*Ow~mFq{&3TWz7TPDWBTkHJABqp4&Mm^3SX+S*uaU(rOzCB)HS2!l=Z(P=x;^iCqVlmAO zchnEX88H=SVH_7wdN{gWsaj@Q&n2sAzdGmq55Tp!ARH`RtK*LOJFfk-C|Gk;))rnn zF!$gnWe;Tyzv=IBNvuA*k>!Pub!ePJLtxz44|OYTrxdXzsjyM{kT zs+%HwI-U02vXLaVcKppbJ7P7b-4mgEwoB>ErZ^xz&gM^dxxgVG=_~yWzTn~b)~dd^ z17WE&U+{e7dn<_hFo2+^em%iggVepu7g%Dvd*j{_aZ9aDYOTS|+(#uTh5-pla%o2m zBoE+VNYxo)lj1S^YZ600Q}CCb$`(mclrQV^C8Mw@1$O5tMhj@Hl2OW|q15>@&4jxu zDw?!pC*ekTLdDD1pStEODb`g8y&-bLH3IHd`7?ryQ3*E`1U$T#a#mFdf5_=iY60d- z-Q;-4l7={Nant@h9T`S-!`Yq=c|t3UhCJCQ zUhFA%M6;1)WPU$T+0GE5xb8$uqt6Tfgu0~K-|PU1diY=y(@@x#Gv*uxhceHn>A zS>O$s5-T)f+u~_gW`UXmfr^LIBR5Q*V1DGp@r_I+6<;Xh77de!PVh-Ls%Tfr6AXEL zcH$ZbwMqz`dKzrO$+gFwAKL7 zf#n0TsVnOv&t9a;oc! zeyi&P;|T#3ZLK1!sn`NE9hWPf(=C@fEA2Z=wm%L;+5ll%|JlRpK*pii9g4H{pa1gz zKRn;e#Pb~kj%G4dLcvi)X!}=uMc&aVgkB`Y`jKJHfZ+fnC*0NwXPexI#L^q+}{eKaUv` zg)PB{!XT1!wQ|R`$R2SMPsLyGZrdYghM*LbfN~RQHyenoQ3ctHJq1hJ?($!CeCt|& z#WW2MK{WH}H}*`m(%ZhdTdhE<6^sCYO>kCEV!^#g;~g7=aHm^vkm8dVo(7|BZDqUyJED zP`3cog`HApXZ77U(iB(T7#|m_%$qM!=TO_$*(+ z{34&({{`r-txxlegPHk(hq8{l06oKh?rJL``=eNX)5u{gDfxKULfP zaofF7WK8Pp^F#O28Erk}RemYe(8#?rJPK_Uf=)Fvs*~87gvIk_o4PNLG$UJm&&E_GV*RnwI7859_=F^@w#2s$ zLR4E?dAR$0#`WV?RGEj2Go*ib23&N4@D7$~&M%`#5f1ILRu`wGVOOz?=C805s5@|j zIsOBxRt5JE(t{2MFu`o<4?r(^{qFX za)qt4>1g`U6#u`-7&!^8roAbf1M9suBcirD0L1g40!<-NN~Tg-bb7l`mEK6i9d3b{*Bc+~b;alF@rly+E0$SnoaF5;2Q#S20QFE<7$E zbI>?uDNcNprTS6q{7u^J*uVu+yuEQdBH<>U^)rB%7|q zif=7;+qj=8nak54nh`W~l0k)WC$1B*Ce2i(e2akPXFY*MXGf;1BoF%Z5rEN_q>;gw zK_Fr+<=))n@U*72n~j@Is`@GKBo%wrN-8K75@Vcz`dpoc=)u=N&CAvTp`ERuW>tRsv&s>hSvlDYlg4X8IqyJeaaqo?Q5K_^YHno|1j8{Q3EOz)kwW@1NU>upNz{o-R{$wiwF$U}awIz(eP`+Ci^-TEbmbai9d*?Z#5{ zLSs<=I;qwb9%*WJaAj)RB^ixSztm4C!pEBbIy-#W;3>Hvb#_%a`sw^=3C1A3DFpsm0K;x7H|D)>>Hpob-|2nfIt9ln_@1Z|M&BF>h?)_?g& zDi~|3rTkKK^(SBEE!8BU5)1sY_~f*14E zopGO{U1i;As5_F#0s$Q^w?Eex#um}yRK@fg9+uUGgN+y_niK%$`@|muoO#3$9sm%| z+qP!(+q01FPMmSZPGk8B_w3)=%lZT4+I&|o!E}8;9&!MRE6n2+u8AB0o;G_Cjeer0 zl6|}`ND*sqf!Aw+6o;z>gS(%PfUzI9SwH3-a3^Y0S(|nUXr)YagbqmYse>CUD)_Kk z0u$u6RtWbgPsLWiCuR05HRe8jHPkBugtdJvit0Ke=N4F8UxFf;cphE$8ls$0H!+}q zyQTeRS48-{8L2traRGw%a6r%x|i!|LI5#-Lg)v75Vww_L$iD>1Y7bn=TrL__x z&k@qc;V?9YlIJhe!#C|pl>=*zC^`<)IQfsS6+ z{NTayg{xwI04u!q+0S*^f}KOJB36o*wmj|MEN=ttlq{lc2WE@8btJWkoh@eT+FqAy zXc&{~%q(p(Np`e_t!aZB1J!#t-Z!K<)6TPE=D7LI?bbK*&AFB8&?&rVt*_G>Y8C_u z_m+pwxe1UtPsN7J$$}K@WnCYpa;7e{ZBEuTjwfggh#sZR-tqgIlIXh%c0tgu<{Nvn z*J|45o6Q@Wj_)Bx3EC9dTmVtH9bNT&OkIL;ZGcYCzze#&UOrQZs4e`*Dc8B!*3A`v zk~l>BwL9E=L!D94Wo>sL1=eCf7@AtU6%Ww~5KmYtVp!8I>l97hG87suP`EvRv@nX4`7XS{FLggXZzW5`M#2pOuS>X#IE%nsu-vy|BBiFqAh5B8- zP^tPajlWe+nwOG|evyyF)ssJzU-@H;Sp;bRuh#Gy-oR7bXM#9a6U&iGX7Q%Q&v@rE zr|OgR2`wQzSyGp?AV9X$f36eK|6vY{;}WBA{6-VYDxsv2 zl5|7@-<5~Tn7`)U<w*YF~Q)48%J%3#v`Uaw3?FbM!TvJMMMLfvG;*Hnh6+Rbeo#G*f9Xc zh)H9Pmh^_TZE{jS>;p_v=8)@Ks9L8w7d7%#&s*hYL(0psqm7O$?aM=J+^6=H1U;SM zdds71l^5A^fUnAVW%NR>oFw=935cZ;py6;n4*NpI2)T$CG=j!(2>}HS{`jr^{keu z2P2U24S89CB!xPI8y6al3%UFCW~DEsAU9NFYyPJ`v;NU9{tEG*Cj>l}$NjlP4zQ

      `IepC^BmolAsir%^lvnB`!qM zHX??0Rv1-s$+5Ht*pU0W!p)fh@b8;d^{9l*fep8%=Fo1s>l*ul$2-itJK~>m(%1lq zgTOXJa%M^f0xidZH9!~zt_2iKZMrx`1>2pr%c5m?wb57&{-GM24-x~C=wqELZ)O?* zGD^$Y*)SQknGPA8Ld`O0ssW@eU~Zy=ICMaB-T_PKZhvrq>`P9DIRFQS=Ot5eOp;^h zvZUtW3V$??Gn3bBfgv(AWcoDGd_;?|rdu~k_diuRl%`Lf8tV2jFeTHx@KZH$LFmBabSs1jOOQe-b~9!MY#Bm{YBuE6 z(Nz3c+6p(pl2&*Lu0`O+w?(z-ldI0My#+0Gb}M0X5~pB$lQ?`d4c1`1-8Lm1A%xL zb_GwfSOIYpT|~d+a8u#Q)V|qUG^r;NaXv=4P-d*8y5o?~C1AMf54cqW0zrPoWS(S% z|FOi9o-f!SlN+a{ z7f3ekq3~;wE-^)5QZsHyA^u?>U**&rrU1<7NRPC<6};UG!}Bq+W8z8^E_6Wd?{&jE zKkbf%B9W%u*c5?V&5%`{CNIyt0d~hzeOYUo$G4l~kAwl<*mHoK1}{*)AKw*4^^uY7 zU2R1OCT|8Xt$J;rX>#;C)VSzaxdl)b=#KP%q1SB~lknqJ_X0xzE)D|Poho3{q7yC% zm3h0?u8|+H2tcpil7=*MI8U=CMpo>tvCQNgQ+X})me)H6wBDq9atf01Z+_l;qwQo4 z$@?G^HnQ%b9(ch*Zm*ksbG9J;NE_Z)Oze4f6muKDU-5x#yfYfnT;JG-)~VW#^bNQc zob4+eOmtdQIjmSsh%^+#5Z9NoIzK5iTPlNeOR}U#1@!MJ-`HfSXmA|+JDcy~xA~_Q zcfK|_d^M*5LzK$<4MGlzeS-{w7LW2|lt^bfC&6NiOEvrpGf{8d2tM!1Ca-}LAY=o z_f;VPl7iizM)#VGTDrQH)Y`kX+?Qn12t=BQOq~3Ncd|cMbhf!Tb1(5QFb*@J+)I*-|cMmojEI>0;I z68Q^1Lv#f52Xk7Ikg|B>W?t(wE%m@Bj&Inu3m(X{PPfu2|(- zl93>^_I207OPaD?YbvK%RqY$! z^Pe5h6ysB>PYi@h#}M;65>BolPf&|!&-g0epYT7%Iijgqck~-+t>sa;o^fuPk#Wa6 z@lq1^EX=P{LBSs&$csnO89^W0WmjM2WI&f3W;R!nuS<%_YS`qrVPmR<9!cH}KV5k6 ziNeR^6-n>9XoR_u&BO{WNT*7$q>?R1TZ0P5Q^kBFAWxN+_8cGSr!|EUB~%%-XTRB$ zzxGF;Hr>dm7;Y74saE9yvx<(7&WPn>58Q|Gk@?i^Gj#{;rZi_%pbm;-@Nw?eLRKZ0LAvE6)Ve|ysDJSaD>QM@ZxRupzY6gwhGxM zOnTFsO`t$qY}y1`VH6G=Be$Zzd9%hdaS3pw279SgJ-$c#ru1mW_c}RH7aP*a#+5;2cCtii z?7Hoita@G&xb4Cf->N&9-6jrAX>*+)ZN6=X|+x27fKqXXGmy#f@bLG2-*fN33M zy+;m~IvmIv1owKM4BBvU$t&|C+~p~G%FP%qyp{@>()Sq*-wHn=QH6j~zVP4MUI?{2 zN1U*azhhVZ30v_!nR@EaaFM;Ylm3tJy&dX&>B4<~Q`!f>t<@DSWt#JejxeMGe*gyt z`=0#ebBr_<6}@LrH3a=e@>RmYz$z2xNj_3ejwptlic%6n76BGRE{cVG%m4Mo`-8}& z7uhv+@!^yoTQKl`XVdR^@2ml|C~`SYne+B?Jylar{!%GDPN^yo^EVkv)T(x@@2_qK z$IsB;X+JjZB7JX1y8o#Z>aak6>m^7WM*2^5G2DyfPXumT|NAc#g7AUKvq;eyuACe^ zh8)Kqu`htF6JPpID%@G`ifYXc0HBR@5L=h_s1|Nw`3`VLNdv^!y{3<6`h=YUqr`ls zCWRgdz%f`A!;HDs6k!$~(Ia>+hK!zP28-i)oRqf2;TMdasu%#zq!Du5sXp-Ynv`$iM+K7aSe>7)hU>7ugfk9m4=n|1px4 z!(L(>S1B?6{1OPK)WnI*hwmig2R@LVCPGH2!hreN4xW~&#OVtD3|`}C=rA?Lt%&f* z2D;bCWCJAiD!_voJoXdEfM9VWJb}r_BbLR;3Y0IZ35Nhadc0qu+oMU*ae$X88d)bA z!f2`Q0({^z@2#$WXa%8433M9G9!(!doHpzusM8EMmLY#OxnPI@RtaKLz?SO~_5nv3 zNO6G?!JYwbGGK4uVKU~R6?C?9)cvPYmcdXnCF zP!0ghC?9)cW=lXX$`_+odg{b58FCo4Ottvb6#uurc=zs76nkfkTBvRS2B5nU>v5=` zCVIffBA0NXi!Fdov;h1l@J4*c`n4cn0IYRckbaDJ{;fhpO9Ux2_Pxj*lO3o1yUKua z-xTYXuQ)4P&@X8|`LXBDQ5{pxLzy2+1d5$@l8JFQW7;wkS_e_jG(6PtEHtu!!&t+Y z3ylj>sbiF8NkqG<&Xwt0CN^mU2Lf&y<8&gx!VPI83|iw@=j(&Rwk5-m=%Q%lM`4)J zmfTmce`Hd~y*kS3Vk_V`C&?M<~#^nA%Dg`mO-9hGBxe*Ebw-hiWo_AtFPT^%bRs+<~;0gmjGJ zXc#gjcjsbdM|>xhI#HZtAh$O_5_K*e@3>^IB{eN@kg*%HiJ<4bIeWQ=*iWJeht~-8 z?oRJtsA@9Co);vEwfcOD9m+V-w@c9lf+oXg(q0{^(9|{V>J`1;kljC2Xvnz}k(-x?KU`AK4!AlM1xzEysx#azl3p$g>@vBxKb+hWlS!srKL_`b0( zW#6m-ygAmlnjS-w8+6CZxwaAiNQ&#&=EY4w*&d+P)8s4hcn5e+K>mGNLJu?=LMs4b zVz|LBTwZJ_Eb$ky{)4$Q7KgsXxLPE2`C7=5Ifezl39pPZK@5;TL~z{_LH7FqFaht1V^bEi3G#(Uo&!asIF3ln-Kq3G9Oshns+Nqiay{If8wDW1k%@)(yvH;( z{nN8X^FFC152{6=WiRspML@d0wSCMx5`MTZJZGNeUH;ruiU8T9jvk1RO;%^sickj- z?CNHDzl7DUE=k>^tk=Nso`ZLg~+1?z*Ex^qIyBw@FP6a`BttEV;{%#r_%i zI^5^J(dVuvh}P9thIC&<-W;%-o+ll{=cN=uORWP>7wx^>8FK{`$F$caRftWh4k`)TV`O{W0Jmll-1&PN^P)R4(311UER?QCZy_t~ zS>Qx!*;i~{FoOJBeB3S?`Xwu3|+Wf?;()@0OTCOHVI{##jSaxcr7?augsOhhOp&y!mb_ z_C&(vp-^{eDS;^k)rvk*if>ApWC~c0A-I=9-Et$v(^As06nQ+jCq+8LK9_|^@s*Td z)Gyvo=ofyl7dqA3iiDq35q_3u5u@e@pH>UzHed{U`2L`H7GQ{)PIU zBbHic)twRUye_B$9DQW4I&+o9Ay)AI|j=uEy zzXDx1JZ#2nAJM@HpjKOwW^o!56bvDB=bXy zxmKAvf~voSKc*)k*a?|$P$7#3M3s~SvCp_mqV`f}s}DRkiYzmC%ojl^nJowQklhzZ z#a9?{lv)467lPhkKOoqRFXzE;PddW-(V=n*AURRjG@yM$Fxd9IqmAQ3c_8H#A)0Wj zBaNy)P`Y#NFnP|Zumxz(TBFAR?@ESScU&TbK_SP2@{D$nQvs-YV9~;RQ76}F_4f{# zQtbV~iDTD39GqLR&WTJr*FwkyJE^xUpJ^IZgGPmA@uRcdp6w@a3D}rKtO%3#W^bFi zJK0}KWKsJFLbDh}hb|X=RNW-E=M8JNknW)}`@GuLb%W?Vst=7Oz!(ecjAr49_vrK` zIibhm1G4kbvKk12IfR|c;}f8sAj-4oXk6k8AT4dLH;pMynj<~{m$T;sr zB)08c!GM@tLt6BtYB8JYbUd=msHJ$~E4NE9jW<+bAEo$ShEfDk2e%wl%mpXgp;L7a z18Yx{k-p9WYErQFZ4?E+B5J_xH-Jnt=>)VnUz6E7HOpVO4haO9|i^HlO_OUDD9O z_85^K*Fdo*jTLH>h9c(#nT5OOYqzh(J+6eynwSrqfb80c7VlG;*EW@K#S%9PNHYr| z>-G7H+4c0hU$2{&;%W7g@2OEdyqqipYhjFfx80#cP^wu+|6Nt7mpb+)20j0nVOK_`xPQm6PHLCxz>9lQT0`)ltW`7j6Wn$WSBSfe$S_Pmb&BT)nf@ z@>MT4S43pw`>H$$t+w(kL&9tk;v$yLTPWLPoWt9BCzUEy3cdqPlq>WHo6NDQEuPEO zi?i#nbI|Jl9xr8xKLvpSRUED{MTxbjw0lY7g%(~#7>qCnb_OsA8T?3f6Qv2ji3$R9 zCVm7k7bvimJ<2I~qLbZQ=SQkD?RB-Ic<1=*82#*t&9l2QL~^d$y{{32?8Bur^zpjp zoQpHOK<)i5uX3l`Hw?e$!=KcP5x(m1*9{;}<&YVp;BsA>2ZOENI1+q#@AOi2ye7#J8_68*HNDM-G`S3d+6X}C}EJ$p#+VNEx`^nqe_5&w|_0H*|MS!Px5ll_5%2vlZ zP|swky>U}X3GD!=YPUZ6_G-xzn?|Pu$Q;>;B`~M#O-|?JOIgp0%}70=Vc`ld%Y3^n zN9oAQ8&ZaF*|3@pk)9vu#Jry}L!(@4gG+fEQ7QG^9-wo9b_WC(G_OBy5e5tdma-2~ zuwOp#5>kz${W*%@ZeTUnj)Nl*ig3(zB+9fiD18<)#Wv~am3@HU6@yIPNggk}gp9;V zw8y>5P*;aB0u^ZPZfPRXxtMc!;=FX9+6t$PR0Fy3AkI!CKUgFHW=^d3^~WU{+yDmL zmYDkIJ2}DyBgsUT1XUmcrP|bYYC@?^#xG`uUed)#m8n<< zo|hjj5rGex?oX<2UUWcO0=O+*5>56P z2T^h~!EC*waN$Sr-Lakkk_B{df#07W{;%9{L3TVXdg>Tl1>1SesP8w)hqxFz+Me=# zwGg0`CHsX7iD?X1`!4VM(UU*Nr6}&0C4f-CWWb2GLo#MAk=P%|r0tx( zy?&6!BJ5l~%U8he7x0Li)`I$bwft~YJ+xdY+1Qd)@l1^T9UUgsUQ9ncNtktlPC=HG zstI0h(1p9rSq&qvKJYY1SgXA&&kT>g%1^o`pzo7Rxq_jmj3*$lykhyTcKPdn{c~y* zpuacIjR-!FU93KXZ~XyDX>YzEH4#oHLrXF1ERKEI?8|SF34f zN=jXunpBb1uD;&pqyvYhG<~|}H!|HTcxNgp9B&w(s0c-ru;hL~seawta4zI1EkM&>?|)kUqPagX}NEBqT*{ zB!UlUpj$L}d|!Oq04)R{)Mx#euf+mvL3hJblgLY|<8?A=uXS`oxb+ zw~ax7`PczCoc4!8B(x7?)0JDAv`>bdXu^SI+z7z?-k9dy~&!4 zcjEeolL>(#5uApk%Q^fO zhbJ1m4%HW@0PI));if?JP}kt{F9eV>+=$@wgezFYL+F$aVDQ;ziNj|dhK7VEwzF9+ zbIM9}hBK@+RNbFZozbLW4!NCaL!a?ARRlx&(~d zM7WorBiE#6Bh0aGQNp440B~o~t_!D6Z!d>3XtrGWioU(lK6l%(EOuGbEQiFRJ>e1k z=ScjUzf@SOqZjrlgdI=Knu~3`325Y1KlA#ZF;gqMIWVX=N9qaaN;Ck)xPa{LQzfOX@W zp^b8>weFttO3-cRLC*b3abQQc8ksuAs) zjDUm~R-VlBJ$0|Zc|@}n4ms0k?nsztKfj0S>Mr)h-nQ2zqveS3*;&Gs_f7fXXb3%N zg2ELVrltVM;DTaX!)Laz_z1gGMldr?5~KR&G#SS8rVa7T47?pr2+ziVT&Wg5G@u2J zo?MRi*y3ZL|Ss>7Ire!670)9^ytm9m?+bJQ1REsL|g%nO`rxJA@Ib)y&_m~MP*gKn5~oYW8$*93NX(D zdqX}t{KV!(lG^W6N9^5(3-G1=z<=nZ@mx}L3+XlB|7Lra68lDC(n#1*jIBoJxx}OU z15DY75(Y-XNF|i#MW*7!oy0?^(uPJ_T6bmd;RtpOnvd1%Z|qgKELSHm4Y{h`k&!FW zxuh-ti^aV<*Ms8VA5UPASZ_5U3f$MhrD15Csko{M%FcidpD3N10 zg*bNb1DT8m>Sit9q6w0hYr&M)V6`NQ)Wa3+_cZLd=X_MqvAx)-&>N9*>+=;JBnr?x zFvz>=3np5AFg2G&2+I2(D1mzT4{#5JI1vL8tE%xQ6x%=(eB z^2FX3YzT=4qiIdU`@27$0QG2L%MS6m0Nbq3ClXaPHCg{|97GYqk5e}xg^+&uh}iXU zJAxOX=MDiUvjWfMq5S=?Ynn;UxoueDxpC4ocGJMgGA{`@ls9%`cz&&_?ulB7$NJSh ziK8_1*Aoj}RZbH5Ug|k%5Qexmbp14AFV(ywg~@)d@^aOEwAssLC(T|uUgC!_U+O1e z5HOds7rAiuRhOp4v1sp$%vZnr~27*$kuYs{jG6FZs&k-Cr>+Y0~ujro(=O_C$Nogp6JU~601}K`Q zY*$fZ$)-GZOCW1jXJfYVcg}fL$V6R{gw#o+kaW7l`VYT&_fE0EHn4+nq_SJ@6EiN0 z!<_<3vlVpOLy5N{M7y+)`mT{IUs@|PQFJh^PzKQgJ^*gvNc+3@PyW4s-;3=-*;8(j z>fw0bhw!DwRUs0D&Kexk75mDb>n&dVLH1jdmRrD+7wnGT*$9jWFb~NG?%9Q_>_Im0 z*x|HMH-{qcK9Kw%TEraTw4?b@unv@8C;>bPyK2*7TR)JI-t57I1ge4F*U+5=cjF#`8XVCVx?M32aCmJ!aC;eYRXixdDb0e2Sj5!g&E zjeDQ2!HaHXBMPdOvLfAEQWR+sxe$ALEJ6n4wkc7#NP*@kV{*W=uFY{-&Z#_*3Q>>7 zr7wvg0;s6$yaVAiJL0q;%W74t{JG+elqpyLuJf<#GyJ3nO2?horx-QqUNOlcq+-x!JOFg-^4RXD zrSucpQ^owZq?zsTK<&XFVNKe&uYQ37q<;(h-y;2+)znvN$)@UPDfYTWSuWHbvCU<32F=-vW~$-Ym;rYL@>Vj&3Q+vL~$mKtpccf*BqTJ zUBv18J3q2T=D)Z8v(MG#A_J@n!v9+R0VFl~4bhGI_ev=6;8g}APyebyAN8N>5`HF3 zPQ9#;9oV+n5ABRME%k?R-Gz$y7%WLNumDPDcqX~h?7zjQq<{jf-Ciyxo$*S;$(WMA89!er6b zfApC$Pt;8W6R<(0gE0||f?4%ke zgwt^xGW1auedaP_aLBsmOF<`BA1CArc$h>#NGP5nEXGHD44CoRwcFO9%~YBB(?|t* z330NI584Ym&ai8d{+PQ}Iv2#u@;{II=U*p_am~(}tFz%Ya6;^s@~>ocNZLX)h&kLw zp;5Kg3c%-e1ABz;O?h{)H+UE^5JKT{g}YFg|4P(2t^Kfmr18Y%e_O0gsXkJcjg6ax zVk|NYZba&Y_vHo76BUR!3C$bS6mkub9~r=REOV0BerWEoD8~4UI@%>uU>{kwDPn5YT z!I(6vG}+4|$dVdg`KI0yR&nSJ*gw@q-T~NOKKpAXS@&1M{`$wic;hK= z1{7j$_GaOO!>RDCw_;wb0E>swuEuCe{hHUx~hK@{1ii?J47#DLm zNv`v8uh1Fw^Wk;Z@cl4L(!gZR=2^|KW7>C|Ya2{X%-IK`7?Z5IFO5sVEKBe&PikwC zb(~h-)lgwFMxmRgx&spTPB#58w6D+O(=P@p3ZfX9(wj`->l2?(u~Fzl<4dxee35hB zGo)pBDfJoW+lszb>4zwvrTSQ*se6+13jx=3U{0Q2r&h5=}C$rr89dkHBhgZx9 z)0w*cP1bal)jZgL`NMzn`yr20)(E;`7)W6A}k$YO)+w`4(S-j{zj@efpTN_+w zqG!L!q(gp(lh`%A6vi3Wl3!F?IH{fjzq{inu(B5^Zx zM0V2=>B4m(&?AR~Q?>d~lDuK)n!JJafB$5p4;_4f*9>Le)kH<&twC$+KqX5!@{T;U z38ni2wMf89JmqMXZ+sKu&(OQsw@|R5|fVmj#cIi zDR1cdI!}WIX@p@;TcXkyTf%>k8(nQ`da^k0;|I-?^+7{?w_RS48{yLCyZqSl(r#Du zgr*sUnWULzu6|bxiz@O((Lp$GCxeySV#jchWp8ATxZW}P@PlQZpf`O(DuAW9p|xy? za2wj~sjlf+u@pFziq$eiX~W#CzWg4V&GBn51)Pw6@{BQT_I8Vtw z^2Vqp0>0r3-XAqeGE&gX8p_B@Tt3D#N2ew-PZT)7E742OckINnJU zqr?|x@Fw5w7@3)GB!scv4#_(RFBxl8YWWN`>$&-M0x3%N-c0jWo*H@PUN+`_KDkE9 zh-=nd?EHiUGu6)&c+8KdJv3$As7#>F8Iqy>v7Vso!a$gHf2}Gbw{u+qQll z;TG-peWj}6hyi|Z8VSVxsO`XdYwN&V*^pMG`>_?57yF{C4;Mm*3aFH>vDT!7pXP`S zB>$s}2<{cZrfA2p<1H$FOh@d<xW9M55BwQ3XP5EyrB?|ABqW#Bs2Uj2M=c3#}jd zF>Ot#UUU6hLz!Z`SXbAk4PtE=3oSYJ%fPqjA zwUF!;A^JW_&y5>V|H&`jz2lpefz8gL=@@S@I?$O1Dfzw0S3IuFUyOKf3F~9dE&KK+ z3Wna)P^UhWig7doicf4L4L*e4d>_=^gQE|0dy9=7i}1J9jp~D4*5Z`urw@YI1uYax zfk3am=k?Vx)BB8$g}uOP815{w={>&f$khj#Zzfs@H6z|;>|65zYfsTE1+QYy~Z|XwBK_ZLKRKV!VQ``Ej{nehLxp${R zt{0gKWn^cXA$-m36X$GaQXSJDOTm72r$cV$$Nfd?CUNMPpaq&fWAO=XhPoo)t{IE; z-dMPIiuUicoKIXD_t9|ep~quC&^O;MNv39j>Ep6E>-jm1!d0_Tj$lg?8>&&%#BWzc zdbib{51YuuQuwp&6MKX)hsdELD>4i3H9P*MeG;j*`6mAi-2ob*7kY%d(WM5n4H8=d zP3gKRb0vgCnQR4abhp(Wx6Rp>c(2Jbal>8^g}y1=BNf+Fc;eLZUcrHuD=W_p?-m?> z%d)#a$uY-6UARxSuc`3t=Df-@G{wCtTpdI7J_$RE!BtF+LXJzab=?g92m}5lkY2 zQAF^D2+zBg;mu@(ql}Q3tWe)7*mzY%)C*WKJ@&&~V*Pmp3FFvOR+vq)qES|KU7x4E z6pqlkJQBJ$x)wu{xIs)jiiw?_T3v{ms!jq6P&CRG-Ue)9JJ<+w7DVZta1xV@Vv?np zw$JUZFUt!yi)#ViOh7scNQuFlGYY$F3rwkb??yK=pqq^{vQb8MB|}FR^B#$z?*5IG zz#pYR?;0nhdpk-eV*29LDis-+M}|5PGBwAa&1!GiA^LS5`Fh@&F9amhjQtP)C=^yt ztJl#D16pZI+!T5!NrN<5GRdVwu92l}4ho936GmRVB#{%+6P@RlC@dJb=fX4$W+<%w zn1>rYJ#a|7WQUoC>eMlr^x+G_IGI7QWeAy>!i zjke7(4`FRo6K$GsyQTh&4lZzqOgE%yI$jgHpzp>DSk?Hgo(OcOhXKxxC9LXLy(NBY zNq=0;&gQw9w}e%7?+?@jsTxN~z_wZx5HA z94;O5gKUYcI!?p;41*)7VH`(Sv~c589O(GS9bHXOz?i?T>xT;9D8M15HW=z{XFdtZ0s~k;&l(?SmEaZAwZWApz|cDtwU-sN}Sh6KrNWGbCr8E=iZ1J|--g^x6EI zn5KdLJDisr4CUf`{B8MTi{+jQ#-{+iFYi8}?}h&3kUzxnkm_HDMrSeEA_mdHV;bIV z^pL`jA7kXOV(R2lxOm~C$v6d$r*dRjV?TP28B0SQqU13&Z5rB;g!(Jp+nKaUlFo}A zzDIf~Hlj`}#XdptI@p`bF(0`DVrgLL>T*1^)jm!leT=Wr~}h07JamHs13}Rikqf(d&E2@=`@|U18n;-9sFO-n9WKgAvW2o z=@bsjC4M7c>X`z?gED!HgaDkcK#`LL&BlRI-Iw%2VDJHzSx;DIiKwAJpb&rFT%XMi z@FR!`;Oj*wKJ*6Uwsw{+Ao=sqT8tv$fgdFp%crxiv^OCa!s;^1MYv=`qC?+n=EAyR z0G*q#Q09{7BC{Kh8HLAMvm8sul5FRZb%;YgA9<{2DA?BXT&d0#6UJ7$mT0-i7WuGA zd4%83mJNmJZ2n`$(y%orfgdOM0NJveY?-UGMY@d`L#bqlW@R3;h4-_0I$L5$tXV(w z3{J@)kmxbw(tOWF-HdLYzvg`*8SQz4tx?j(mPW$0PDxa5GM6mC?l(y>gX-yC&N!Ya zB*lK35?Yb7Ar){i!b!kH6YXZ!6tvY7=4XBX9z7BS`jG*WeiEmF?gGrgx?vZ5;8S1O z3#kc=u$KPBQVsG$I{~T1#T`CCJFpYsuPBII-{I8$x{#Pc{BblAPBTs!FG^FNfrsBz zm4u-coUpNYi=!==>wKYgy@04E(Kks+wG>y=DrLG`*s{p=2u2c6ifhX*)T-6G)}aJ} z_MRt#iBF_dtS~x^XGtj3<~Nxn!ay>SuGS5F+Hh~b>j-Xt-x~7C9cS0ZY28+o{b)m0h4_La6#b9>t zkzDWi5e8`(X5QDbhdO(pTkLa$*}-8LB_VmYxn;ke8&gfkAVj*qBE6S|Zt8k4_5%0K zvg5Jpj_jKmNi;D*{V;XeZK2-1cQ|imxi}`%zMXOtj5)pCDB*$+-J4uQ|2*yMyedA= znm|#3Mn!y02?0Kj(e1WBTxw^bDxYn`cEApL_YDZ^>t_sO`Er zwm5-4*gHPK%#%P=7})aN*z#wZ4n5S^HC;Xa7>VhXM5(`c_wAJg8gBjwsZsJ(IeVU# zvo5(2k!caHm-AH-P=LNggggQ96#$mejfnVO_k2YlO(l9>@xb8&+?n{n_k<@uQ2037 zRel~rxn}~C>)H-LGo^%)iWAZg5SKV^Q2#wijGww-@?!0O=W!U>0CkVHPm5OJL{EQez&jN6Q4)(jS9te`aF0&ST`C*uaAy zp}-nrPb|noXs-yDFnqKlSi}>4-v88RoRaylE|!V#w|t#w;N-b*^U;;?>rdyoN8!`o z_?iSu3Dmgy(9&alQy+!a>vy(xDQWj=MaQL~J0u7-@pWt|{~sz3I*o^o{LO*FDdAu` z7u}xW(5r&c#H+k|Qb+u%c6>Cw8Ul}z13|3+6J>_FrW=k@ao7@PrD&A|So5*I#&7Ho zY^UT{Bz#O>ZF7QX55a9ZZg!|?%E;PC%k&Z)%H%|Y_URn+=299IxZmkbrpWbY^kDU2&uBNuB&=p$5CyvE+CwpPW~yU-d8q4FOE07h zzYuXay`gBx^AF!a?X4=%dObK0aIDd4433F`OE7mMG-s?F$!=IVKM`pOBQ#tmKNjT$ z3fi$3)J6!)$$-7mYiZG3sSoPrXWBQ9h9jp-s{0QzQ-S8=MnJ6P+&+Ez!uPo!eGdr&EKzC+lOXKQ>B?96;DFur-2s8$Wf^M=qRbzx~VIH zisDT+wgb)0p(_?M0+tIR(-jQKB;>|pmx(IuF|cJLuwIzA>jPww|HgjlbDVI+HTPfw zi#gUI+M`WAlSsWZ&YYY#{tZ`eQ>YhJ>ACk*%ji@#p}U&AXzF45MF|vX*v*4fzGwQb zj+qs?#F+OIM>zA=yt=3L%uPsms&Sf&JBFTpGTX#f^o_kA%a{&JgEoJLZXLPYaA>ys zgRUd-0!nO8eMdI)p?GVB020y;7u&^)1I{xtV68@>dJ+fy8$<5={2rh;sqp5rrSwN zo#Q3b@I`IvrheI1MSqw!R0U$F@H@kcBK2xjIYlN1DJ41$mrEhZELe! zHpilC3VYL66Sbo&huXAGVge(i<2oU?au5&(m;@{P0@GN@GU4o*KDgdoL)xLqY)uax z_pkr--8z@OwH82M|G_z~cQ}H5|60Hy6)+A|+h=l$*9tJ}Z*i+Aq^ z5@*d??TmrzBmIk@*<+*T-zR*X`b3fzWsbWLP!cltCDvGs(u{|%^LxZ%H7yLZF?lomNl2T`f7&ST4ReH9IK+KpkQv0T3V%Js|MgyRa*g9tP#*Fe-J{2)!iUNE4^ny&6EW>9U5iF7^6SSb~ zdbJ@;+I5bE!I%)58zESV_GY|JQE0Ev7o-kvdYTWg^LG0~y92xKdtE8dR4Tg3-C~tD z_j--FF=hSuCJPVyT9(pvEK|R#0}{4jriTKm*O+Pc+r6cEZ$aE& zv-@E#pL!kl)Li6As~aIY}3=OUxAh3<2@|8rO?-NOGrp8F%W)Gf`dcZ0y{Muu*ugOsSJPokc6j8G0wz zKUWfD2jtNZ+*@2#j&uEHq-D+*4dE&G$8ibIwo&dwn;k3nQd5RJ2m7+C@ZZea*k8zN}*l`vElnwx69f0&7j262Q_ z%b$x)UPGS78|c)Rf5uxF`Z}QT>sl!0_!(6fp~k9bqLQ&@eO}eVhr{daH-t4r4_#yF z>Ue}vfNG(r6<_|cayA+O_Km94n6o9mSU3HPk>jU>Al7pu==@@9{-B0wuC6yFxo@{h zIDmpd!i?s59I+k>|EiEnzKVS~<{DdI+?d7!U&|4U^McN1dmFUw%uzuL*c4;lQyZ7hC8TxlSCzr9(LC)8J_ z!7Hu%_Xcu_mKMRbD36W=&)9=Qu8z36Kyk(asvpVKiU9~Y2CQ-v9kxF8g#*(x&*>A< z?i+^mW5AAi-sl(cBT>*dj87E$yP`~K3$X| zv{8PBN&HsM(7EJ$`=EGTqJJt?9U#hCDfLq9Acc6cM>3y5HG>%{zv`#&oKBmY19GxQ zVV4WE&PQ8m@{3lU)5tj4)1}9GQX~mfhduNR>;L>CjZ&k{Pgbb}+E{b5$_vCIqP2Bx zvGOYzrkTf}RAS=f7me2FM+weT0>U;t3^-LLmsaVg^rP$Ar{m00CA%|Z#WPFQOSCb@ zXpCh6d{GjpX)WIOUJ=hHB*LnS8%IJ>u&)J-ZCxvI>3Q^MN`~4dUGa%cw;)Y0xp9P5 zdArfO*8LJjThf=lNMTfu2Jd8EE^D9hLj4i(~ujbl7lN{Ku zkRxy~9tD-jMnYLx5JLyWDK;m*WxmUs(K!z}!$<4@$QjZxydi~V+2$-v`^uACxFz;Z zUX6f!$VFFqXS=dsx#c8w5@JaqFaNE*&k2&TRy6;XFoVfQEUY+T#u%n}aa1-_&8|7kv+BD5>bh^L(LljAi`&^VvA zjxWE2^1pV=-|;`s{Is@=Z`=?06jLLeKcoodr{Z5)0)Ms6#c@^Uyt9y^{8>3;QKKMT z8gdPUeM9v=4V4Lo0==O?{rjgaW8h`?Xf?@#D{5e1$QlHpDm0i`(d>7DrW^jypc3g# zQsHJ0^)|Hra?sA8`|xW0#4VL>JlGjDpQH)8*ZdXOfDZ)q-`nqD79LOg2XVn|Pq{cN z_!^Mae@sgIy`R8rU9TSqUacJ7di5lgAx_m}YHN=o0s}opCW)8%_Kq(c$2Y{BHU|j^ ziyo7?jBt>Vx^Kv^#Z8Z4Ty<672#n?e{Z|AAk0F_H!r;}md6Ss%F*QkiRN$*(rmDDe z8Od0cbdd2sVhd|?iH^%pW274nvu#;?hP|{Co3+zTBI z6@4as9Td&yd|#|-sjYCLh@P}kSc^CT3S%Oy>Z+xF&2a7`{>ZgRpCoG{5?ToQoIo1* zwSzgyxGj4n9#l|>1>~8sRRLv!*A}h4z8q0W zog0%s)43C-!cn-&d8aUt$ez__9qq>;W{2c?3g%M-LAA|2SI3DN>$^3;id%*p8(K!O^(wfFLXS(HdjG=P#0MpO-uQSo~| zBA~<0#m>|uaS~qy;W+HbMQ?1ZReffOYr+lXHi785gvl$+=Xr`($78)dXep_a1X>Cd zh+@^`yHd5ST~uvf>emVaa@Txp+VtxK>T{GqH*#Ai|GejhYsgql-H2tWrTVPOp4tWm zO2Ni=o{Q>2sBi)rw9|m!``8S-N8bT0E-<47>n|@i19=Zde6x``*$X;3an9^DabI+O za2zLkI{Tpn(L5I$E=}3WxcEh3%r{B`mut3)9$&COY~BB}dcN|_P*uW5>XOL9#+W`G z9xEVu1a6hG^t{@&&J#WP?Ue)rbJFmdOXwh)*7`SpI^v*-)y;WTAswHh=^aoR+z4aa z@urSsPl6`ztWAyU6ipCMD&68we!9OTiPbq)`mu?C(hO+jR->l$q%!~MB`igNV~R=JPuSdrF9+g zpT_p?gwXhj1x{ykBtFotZfv^Du%h$;r?03NMh=v`MEjSsqG!}#P5N#zRsy=Kc}_;p z^ME09bgM`d{LZ@RATs3sk8p-Ck75^xVX4Roi-~m zVvgBWxW+IuD7F%8D^Qz}711lkOk~*d{XpJI2ew(NkUPVw-)>b|Gt#3mY^H%pmg!^> zSql~csoU~0uy*=}fYzj?AJ;rqcCEzmS1-Dx0!j2Eqj-X1V-b>Op3O2@wBx^#WzALux2oy_C*&TE{!#U!=$ zy(X_Sbn0-HIy)r`;Y}oNDV*jfgYKOtX5qv#RhxzN}p)oVuk|tJyhuGw!TODS{-c^{(*1X7=vwBe8Q6LHzZb6 zP#O2oh@1X}?*Kb#oOX`Uk1%ZAyap9Er4^(Xmef4oLp3vFrxxz~b9JuMp0)GfcB*S}JXE*a`S0}q!Lgs#&-#tK_VV{h`hDR`|n ztKR#*I#l(!dKfCC2Zc(v+PpReR{0h?fo<4rr6A1TQ54$0!dQKJquDP?&`UnN(ek&u z_4V1Hr`v0DLd(_v`^wO~^yRiVsJjb+6XA*ennRk|kcjjVkiZ|t;r>iAW$97;V8jTp zOhNtrPTi-+$dsT!Z;d4@-sCUpYFVI`&jt3_eX*iI!+#8I<85L4V}55w==rkS6Xf+; zV*HB47xJ0jZWvmCT8z={I1i(=SC_YhG;|c#A5GGxD%_i*cPe3KI{Q2t=J~u$H#^@M z9kdxXK%{8CR>B;5UP{2RwNdM}`iktE$-9s(|GYq>n|fgI`_mhD82^BFU@2|BZMdcm z-t?FqKQxotzR0fd4VhkByj$o>Ke*fmUmm}fX@)?iyDyghE z0^i(4%Y6TOeQ}x>*Hi!P5w5;IR)!h;-t3t=vOjLVVP%h-qdq%eT~24mswtkZ-ngHv zsP^uyGxC1p^sAKhAMjQY3Ts;v$6Z5;2$AyDhvrYd25pFCZdiTwD_pCYL3I+rc_p9s z#uE1c4dmG6rLDGWXZWZgmz#|bhHstqrCQenl2yl3&xkNd0)^7z!efOjGrzOI_H|CUrZ=3oQq6y^~Be{*UC+;Dqq_Y z3i(M?^zl~~h3_1O(Lsl=Ptf|spLr13^t;u?aEFP(GRJsp_k7lC8ID5TcmCCry#2L~ zPEtduq@xrc7EeTH9AFxU0h$BREuG%)wn@F83I;J$7~K8hm74uRjAXS+)qrSj&H4$ZhR}sk}--^ zx7{{+_rGw1Jm&g#^o>a@w(0*x@Vc&`!;@x`9T4m|#C0ps>)LL2HihCHCFbjATR-6B z46HotYZ@Y@IuOJBqU`tN`<<;6xw&Ox#);t@Kg%V#PQ!6t<;3JypoU%m5=N z-(5~b)p7C-13DoAvj{~IcCI_3&9LI_`kcdD>mQu(qf1)U2KF(7?s{wr%fHs8>NiBw zQzbrFp_z0NX!C3Fp@X`s?@+Cy{r<+zSLKCmu+Md0Zn&m$HYW(3s-P8M+{5Vp1J$kFk~y;z7#wK)2ej?g zrqH*r-P?yw-*>9wfC4*HPF0hq7OLQSFWela7coLGB~VbOzQcT8G;+i7!Q!v`SDTkO zyj?xmx&2*}ZwYc;qolL6j~&S(BIwpNlu>(EZ>TV0-`JwKr*9np)KTA+%HG#FZZOGe z%5KDW>A?v;2KahUQ;0!Kx5IMt!E1d-E+-sZ3JZLyIy zdLxr0nz#0n?>Tqre}0g-{29m9wG)xb1lUMlbj z1Ma|j&+|-JeKpkiBBXsoddCe>P3mGtlsQ&=Oj;HzGINN$eO}Rl5_{X>6=5jb*ANkg z|4&1>%Q;uH-QBW&UI=_nl)=Zt{6y82x3~92Lm8*&_$|?AVIMI} zlG8}NBGJpRBO8=?s;V>m2fp=Bz!3i*Ok@3PKbrv-o{AFvv4b5&p8)Y6*~mS+0Ep6i z4#z$6xAaP7BxTpPwy!>uaQiVfUMP$LeN4ou!ZGwjO%40seui~bj=5Hj7X^>uO(w#J z@>rq&(1EWeg1Jau3MBV$l7|uv$IIxmeeR#uFX{j_ZpVieFY+Iwn+y?y(1;dHh=oe) zYg&GoJZ3k^W2Y|*;wGH)>ab`slHWEtVZ2*oADaAWT{Oi_j^HLoIzq+5s5<0Dsbdz` zvrO(yrVM8kaYO93KVgJV4DfB{T^q)a-c2r?pdCh-fWJ5(6>PXg?ZP|Vi!4;z=?Q&= znsZf1aHj{51BTmn2W6NyiuGAY=EiJmDJr-#Fv!^CFv*wGWKBwKNpO>z&e3#9=VQ(| z=7e>;m)O9T(~_jJKBV^UwD~Xp#=CcoECIR@ZPl7yB#rn}YIoKhz9om)me+>lJk@Uq z1pdgJkhDFI9z*2=OGuXF&Krk`9{Jb(Fq{&o0BJU-90 zc3*zKs;O<3$1lHMx5d0DCL>6eXH~_zCh8}9qg*Dz^a)ePw+3?7_E^ArStQ9G1DuJW z)zSwBb{su2+I*SD^B;Mm8e6BjwDT7IxKqudMTFYRJSWi{XUfL1sxUNHVz6j}#0e|{ zb5z8!X|CHuq&WJNS{lw`pzm6yNgp%f2a=Su*}0O-%+RRdvpx zJL<24^f3&Hsb_8KBNWO{Jx(;b0}C$s)T}6!8vCKu)I@11MMGW|g)~V<3=tUUD=aXm zja@wz6-AGUACTO<><`3d6|L~9x)E`miDzb!F^E3W;s|_|D0}qcnEdT!jYKcC{i4W) zR?G_HXwnJRIx$+K>#>Zu)UV|bAtG=``aQbh5JBatpFg_pV?Y<%h|1Htwi#+sV7}g@ zOCCeQo&*-XLNC|>dxA=+HG#&*%6T6>?~x>tehjrqP^!xQB`+xk`Rp~NOT{U_Nh^AewZYsOosV%a)NYNG+m8D zpng_&Q)Sixb}adXL3BNtB>^sMmD2qF6wxjB(yqpQ0h>S zrAqB!!;i(ylKGys5gy5NzFOT&;KkObpT2un)sAu5+6zS3gu*4R4J(FFtoue#PcZXV zmfVS~2^U4`l#)JA*jWrHm*A!D>QX~J5Ga1&e1jH2#B@P;!A#+Wn#ah2AzuQ!^Ru$I zYmybN8HS>uN$4Yk@9dnLQkwth1|uYwpt`Qh;z*(!RJN>l$VZyyuFGq?ts8|8SW+@C zX_a#eAP9DoKSK?-=nqrLQb5z7^wucG^9RVT`?bqVM?jTlhe~_gsg&%t6k%nSNed}E za>40hX03@v*Mdf!2*^o{Ad_j$8ABpl<_f0DrJ(~2pm;9U#n=TNDNi+)(@F>zIZWxS z6R-k!tytJkaua(j2)jebAHpluwmch^CA%)21~*CXloUE;U+fBUP|!^aYcT1Elhc)p@X-DzY{<>LsskV5Dpu)(lin0{(FA zzi<1g@6fY@vg_@Z5@>(##3l4Pf5u!serQR-o%{hQH0ep&;qxg_W!9^-=fFG$yjX6ACY8^9r}etE)l;rLO$B=`x~?{-CA!fSl2so=qwVtg!h7K z-^y)=z~;YK57!dHq2*eFFA`EG7dS6LpKAK*qN=-1_H~8Fe6o4tWF&0YGyP2W`O8c3 zdZmN0(pWFQu>}Ln>abqw713_#sAcBWg@8$wAeY@>Wa&IZ!|&vNs;MTqiHl=(mY$-8$F)QCmC z+i6U1U#`ipXyj%L|5~amzkDyjvd|8+J+3{7G!&`{T-7dqq`5!}Y!lkeDA0`2fqgpI z4-SpkXDl!6!>4`r*7XWUWUU6SLIFxBo@@J4PbyG%6z=jw>9IQ)&&Wk(Je?3K)R%uw zG70%G9inMXLSMYDbVXN+R93njquI@R8}~)=xw59(bWrB^MWcpR`BSS}DA+hq)$z;s z!p-YyuPv$1iV@rzLs~nXMVe7XKvo#uNg_&sisA&Kt45OwtBn8C=Ha-`J#&OVz ze1Sg74p=`6M7xeOHi!R~VWPc{R%Py-}tXlO+5ZWzl_^ ziO38doT9V$ebeC(!7`}pNnkn%3`2n)O66yyafpmSe-fCA!0^Gzun83ORU4gu#^#0z zAIc@aE5UA25)B{R)G!l)k#JJ=jI@}XiN>~uX`rQ<#=3V!1+IvS(O7%OFblh(vV`W6 z=XNImquOV0=C3psk;T$_U4kj^y7hr4B_t0HL4pRE<|S^4@nD38vo1}-`$ByY%IF=b zE_D&U;r5k={F(Z-TdDbfRuD+e?13a1&84FQrA@~~J!f?8sTXguhs;izy8`AjA9vAX z!e%b{;&G;hy5g=hBM!s+y)P?)d|t5g+Pzr|hTta{WCfX?{I2wNn{28Z}%_{ z+dzfVJX(1%7<_LoRr-U;gmr59UuI9?FNOyn&IR|K!g?e@s9&3p2C% z@|UFikze$`bz%PgFY>EjNQT3T=wBM>W(@Hun&X$>R}TJB_4M=0AI5+7;;m2{uZ8~T z7|sQ&>|dPOe}eYe&OZ6dtZ~vrI3L`tWd_t=U(761;AaaZse&0{OKTW@` z`?5cpzm86R$>sOHvATj`5FLk2@H{#~{|p~WcoIGtQ~YlH+!;Q5?U!ewlRA8}##Gx` ze-o1h^Yuix64`$=X|5oO7~~*J-c^2WPyDnzap}`5{}E8(GX|$~_^Qhu=EI=|-1uPA zxl)+LF>wjVw9UUN?xb3neKn6sURFYjL+if$^Dlp4e>mo!>4(FI;GCC!rJ}nE^>UFc zV9V^Aq&iUKe+iQB{LK(ayozY2&E0G5YIW(se)DVD;l(pGF zWlU}WGQq7WDiuYXD6>LR-x!|On=%Qz!RLt1Za?*O12UwUu^(l+_!OGUSo}zKM(R!- z>}aTzuSz3Z>$1(iwg2kBA{UhsmyqOc2l%rNh=U~3HOQd+j5S#Bm-6gL1Jmg@;)p47 z)$jK^A(<5$F&0veFc(^qGdup*Wlm@eqCyIV@&}TazEX4$-uA!uO3^#azoFX`f|5t3 z^mr=WpDRwKgxfQ4E`643b!v?ODN$c`hVT^SUffCqt&^ zY7%Mh)yBtHh5y#R>WlbpoxS-mxQ5G`l}VkM;xh#QaQx?kuxu{p-}vy$NVeAofEx8! zYMN%6(>(C4Ae&0fmYn9AHrFh?`K;zj|E5_!isNxov^maBUz|du@W2Y)nGuOIVciI@ zMNMYtY{t&~4V^E0!B=`a^cl2lik@w7;S?Cfffp?lcHP}wF7UoK>h~AlVgRBfNhRix z6`6KDKVBLFXU&TcuTEcv?~ z9}yk7D%ShDY&Gn}K-!$ed=7R^C8jMeaOX3i)ZE~nAH25lUyZ`mGKg$$kOY2 zWR>^i5ty|Kt-tqkdEXe|jn@R1Fn`ebv>+(*Ca0TOFZiz|I#>LWH|k<}j&Mdcl{)kU zY& zdy?K`dK?}e9Wxr(qf|=ijE@3+|0CnPeI{Ytw`WDz*gNM?zwCL5_R zFkd9#tK#<&S;D7z8aNPJKnWFI17g7h|W<6j!;RjTcQxEkU-x3}^ zW-mrz#5A6>>JFu|+NL2(m0tMX^$#Ed`Zd&aIl@ITd%h@e(vH~EOk&!3@_c&x4$ zpf%?PKluFMxEZ}D@e`esNP9fKUe$!7-zm%pw8nEk@=e=in^IKBC!;{Oe?C%0dxnkY zd6ED>V<*#fi5=K5go#Sq2>4NJf!! z(-TP{9hvdpZllGZv5EX7kxA?^NrY*OotZyO$IEREo8yx%0!d=0Js*i5tB5bS+1Hpa z!vOfw`iO*o7Gyu2u;Uc+eaLTg_xlNo!S|TA?G7uN&j>r!?9pMIm;6bu0-`Ng|J_gC zy+av!Bf;HGzQZzaj1HZ{D)|+a_bI`V@4KCV)nM2f`hv9shJ~#^u-oD#w?a%cQkl33 zpGJKDG5Qtv17g`_Zi@8~Mu`*BIWbHg{a+D-AtTxthJ(xwF}bq>_c7r&9+!~sS>$8z z(ugPx;jeV8cH~-df_)?9+!HYwwvoU}!ieN7=m@$-JjTBg^ahILDhiUs5g;=HH1I2Q zMd-0dAqKipDXpDqCBN!a0b{b|FwIHBZNRUb0G}R2&gOy|%K@ENA zkkB}FCvcxnQLhln=imFWm<>jxeqSRA;-sBJ3DT|VeUdG4`Za~&3{*c}qEJSUzCb}j z(wyA@3R#>HMTX#^g)-=ncZA)LDnvpTAn=Jx5JKp<*$p*CmF{^!i^4I!F@TIo=l3WnWo&lSTz?0E6{aP0Cz?iQ)39BbI!}Ptk>Euaia2!Usj|c^CR6*YPr2)WA|KM zq~jXjTE+&3WTjp2^CS5wXb96jIOeS_=s4o&!*}tLj!M6_bsf)_ia61mZr09V6i6(N zjxQJ==u((d5Lzo74WtVrEasxuMJ(@m8-}&-+TopI6o^gH;dO6oGZyGO0$&~Fy@y^G z75!^xHJ%Rxubhl0NL^tkGm^*t{GZ=J-R%w0WkU=n^A~a4Noj+9;9Elfgty;n$M=jWNah}mUkv}&Yp%d7L4r_N zp{^6O`DsW%G$8l&1pocNLRFr0+GZsWe<;qiAGVyG*<-HQ1Ta5_r`h+kh8Pd`K=cl3 z46e&tUIFV`WBgYPa-nmpI3S-fk1!8@Z6CC^#(EFEvwN9^bel&|C{=-as>rMTm}Ua^ zA+dSfNIGb}`c;vG+7;q++cG9kPxs@R(iKXfThs8TGhk##^8%ooq5uI32^I zD~}1fm(XJ;D3`o&9`1OtFGEk@&PQiC9{yPTbZ1_P3-vI5=N!iy`+F=Sa2I9x1aU+e zF?JrD6vqwv4=U#oleLDlU(-pP5W5%bj)$Cdi2J-~OW8Q8`7^N#-3tP-2hyDu>LPX? z`u^MElf4+Rkn+rSaz1h91Fc0Zn~A;XF-R-|xAAfX>-;-n0g^-G?GqBrOzF^&$r6se9S1Uz5H-`=Vs^`*wB)U8#xp5fh~h$r zk$|n&11W z7sj-N#np*lCR5gM_D-(-vu2_qmzM%#wrt9l%t7cD&;6dCxl<;B6Hd9(Ykj^MmtC7zz(=RgVZMJZp zP5XHa?j~Lwq*Fd}RL=5^m~1A~ymds69I~Z!lAp3IhTqdDgEc8L$&weRK{~=TUS-U# zn-|{>;)vTQc~@Ld4KK6x>**MGLf}~UzFNFQ1^P|H?W5^PIW8yLWyN!!}zllBtbH8mdh;RkcGH@mRMTQ zWL|K3V1r*1ds$Oi*vFcV?z8IoWA!|V31j59Z6LkxG&_nOeVshuc0jdoT~g(`Gg4D* zNX*Tu{qlz)Y=u`L8#>tBGzWTI^nsb-?M%PG?C$x5k>})RcQ4Z*>M7I#`bB=f^ z;n2DeO$49g_&}5IBu%hU9~2!q3aah-Zbu`WY_9dC8b>4W7j=o8*y2S)rhn{h zrg$m^t6WcvZNUOwABbR44s1i~U;X*(r`9H47Xq(->w++0CON!8Mm=O7ahG0RWlnZ_ zbdeVYyaXTp-`q)nKMK&N-t3WipKm182^%1^ zUt}MPPc<*^o!se|SPq~WDCM&7A$z#Yj+tckczrtGlpOj(yF2)!&9hGXyzcnhM#rH) zlp9}Vju!P!24L2qTv{!@$(mecO$qdIVzA4_?Bn;kTdtPxWQPu8%JLU2p65-;sBtf^ zKbDp$4vvAihDuc>IZn)!OU(#9xv=b$GUGHoPN8eqYpNwh!01M z-F?n?ij&TDYE`g>ZHs7$f6UOJ58E%;bG|< zNMX=dbapgy_)_HrAER(^ry@sh{#iO^Sy|pIn$6%=Fuz>(gCG5XzLq-cfm}V=Cs@R9 zG~G)F$p&?pOh#?1*08yAD3|x82j42)AEc{QZ*TT$RZIdEp?&fr=J6<3kDM6H&pGPg zwEfEPk=XBPdWy&9fk1J4SiKK&Ge{=ZBO@rcnplDQ?w0qMIn_J9uYYT&>9J_Vn1_0C zc)ew?If5THAUcqUPQO^d#FhH;&)!(SAMLg%pOyXG+69!&>W41o?9Qxutt{y_{YZmy zWmDySVGHH2f2qf!S4~|Xx8!DcYZbDsnH-+<8C~b3(O_S`UVJikCDarsqtdcLU%4wk z75VgUgf6s_lHdZq0eCS zopB_(FPcZOfEIE*cnu4!#FV3t9V($r@YQaLOq3caF^J!w`lfF4=iI_Bd^QHd>1Fof27QO@nJZ6>17kNqxC@gGTlU9T9*^Yw!LX4>PIv@%z_K9?p1scf5A z&(&vBprEc_7x(8ANl7PkimJ)Y@9mO=L|*T7jNYaY0x4Ct)=?n=>FS7$gb9D3Lzwt> zrUKpX(h7|%zG5;au@n}KES2lFbR;r?L5~Bu)cfJ=dtr|w=DS6}wS%&Eebcu^C7hb6 z+?e1rCZ~xj2qogJU>}g^bm}GCT0FaHbBl)>;Q^|`<~wbJLhi2;|a0`0fZB(ZJ#(2%su^J|-eDL+nWrZ_Y}7ab)rxRNXYc!hZgii^84AFzUs$@WYQ;*Fz}HF zA+k#8w|RNeC*0R`pAc0-Xc4iP)LFb6KI25AB}Esn$0Xt~@tt~quA3tg_aw_+ zb1yvRbjY`Lwk=?HPLQ1^ijR>m+^!$m7YKcA?X?Yce0qYkM87u5>M_d z+Q}w#=YBxRBLikU|5b+;&-dc!TH=jM(8Sj|`QfSnHzd%bhQIG`8lRiBNnL*XM@ z=0`IZAYZt3(^&K2=8bW5^1_JhM@u=s_|ZMX$X?6p(A zblUb9l02@7SW97C@Ue!fydu7no(o~flW8t$npd%=0j8*N6cce1^B9CcX1#UZ>J|oG z9ADLGSU`TDsgR>+;rTXe@AGzGL3Zgcy^!)xfBx=WyK(TPIsQ##mHr0@#ufw2>r(T< znT`t3B1|%>4?QV)`CMIXh$^`uHM=-JMM4^j4hT{Pkq1!FVFHS|#wSe)6em0ZUAvBo zD$cRC$V+x44Iz#q-UUKYhwF{qlQiT`#u5%d&Wjz%#!4Jp1yQ zpe96u@O|MT!YamIOuj@-sXD9L+lmT8? z+{-?^>3NHH6PV$sj@`<0bgX-W_~rW}o!jtt(b4rj6$qtm0mDyixkyRM#!G5$B(F4V)|>Rq$9^;6y%AUp z7IWLNhhm2WOEDdDF=}^(-L#Ib!+|5}7m=o`La@8MED^>-(L+cnzr}ah)oy0!FiLdw z$0R8l4nceR@}CkGp4@z~(EZ6Tny>4sw=3*@`+h}qWZ|0<1V5T)-#GVX+++{S`LS zsfPi@qlKOg-w|0Kwu>dIsAlzpJ#>R#5r_)do^w)MRVS+yJ5$ggg_O#bmiPsq! zAp9WCzSIySoi8G@IT5nSepc6xK7KS4877tvoJyoD0y0=)5j+)`K(H7{pt?w(N!-yg zc>t}MmX*A=(EW5-FOT37-0YXRd`C7cW!JEKl_N3B_0)((TF-gPD|$~=)hw8C6(>YHpBMa+~)BY&j2c7a1P`$8A$!%YVCL4KXVr?YRVh*eZ|v_o+& z$-u{h^_GrWzpQv2_<4v-%nq+=3E6b4`Owf&oql01AmJVgM&#>); z8)HBq@q7)?#^bnc3wEIP+Fp zV%nVlom}+8#_rg|*0CVg-@N4Ps^nlSIeZvOH2+G7Cg~fDoAyo}$pEZ_ZwEYGoDrQ4 z1-vOgLHYEc(gAuzf*-uFJmSM)ke+M%&=U-_;=oFwfhpWK|Ar2oz4(IPsF%WNzkENu zzVDj4B@!JMt1Xvkd2`?J5pp(?kP zg(9#0s_6z?t&1JLfU+V8v0r}A3*!@}N>@OkJ<=;>stS$};{`@tgai8N!47Aovf-}z z`({qO){fD$4C_YS8wkBC*zboo&Idgyp88V4FQqYs@Kl#Wslmfle*`y!o{n0UdR*(FYR`@Eu$|Gmi`J-`m>yKcwr1|5V& zW4|vRCJ*IkUR4+b4~uCw{)<8SOgg*jQgCSQuC?g4_~5~kfUbK*``P_z8$T?%dfo$x z8Fak@?$sf@KLh7&#IXO}pBOqvs{M{Uh=^6Do=K;^vsgh`W6%=%Ba{y4cyb9B!GgA) zX!B8DAap7{xf%Bb6U;i$TjYe{q4R=}Cr7liGDzD%S;_NO+)l_PEa85%OhapvzZ`|j zlYW)C+<@^1j7+QH-IpN`rm~sR<@!w-=iRsNiGyK4Cp*nKiifYhN zkABN^1qo4`;c=O7p(()zQ%884lgGgNH!PzzVMlKTkBfG|xnBHvBpio`tVt8g zbC`KgxqY3OwMm`5zylGGv!xR<5jvs15J7gotLyISdp>Z9OYs5HscFMpBpwMPw^_GM zzR&Yb4i#uiVg@K!>%(WdkZ%h6nU2GUykfc8b-BwVSNVCm9P$f}?`4r!nXaljPs-!m zbxwPGM{no;^L2TG1uI=^Hy3Gn)q~NB4b3?~ z`M0Y}%f*NtOqkZqcNntWjxUkNlgfz@(?hF7t$2xaDW5UIn;P}HXgy^BNhJik5P^vk zb;0GLY~%6UkCAO9WAt%G6>?+|6*VW^RC|#?HFzG=bV0-M?GU{HZH!pDex-i`HeE$W3g$kGh8Lo z`m~r)^;UY7-eoQ0VhDA&sPz3*_Fk?)&~?s%r(|B~uCiGOnRcKCVg6!UKt?Q*F2Cvw zZ3YOTQ(f>9t9<4{xGH>4h+k8X)L@@8W}&Q)S1HBBZdr8GU+7Ouba$IkE!dIhkT1V# zJH?OzmBor6VvFk2OXZ0#PxgkvS`t0ViBr{`1WH`Db`m{==y7_=JYOW#78QioMK`vU zG4>^W9nm0h`{fGZX}6TLOefvRi|h>pjgF@~Ri3q1?7va6gU!2L-J_sy68{3s5ojYQ}a=#Y}I-jx8%TxGEH=gZWmyXMRHJI*f5xn~R@Pe~Luo`6F_ zZS~)Xo{L)6lea+JSB|1{wu_{4s8D(*E+>-mA$SUuPHiS9>|2866!lW4kk|~4U%36aa6}OFa~q6Sw(xl(Xq3Xx0LXw zD>os^3|I6~ed@6{(LKG&XYI!}+ppKXJur00U#L;pa#2@xj#>63dGJxUlxDXKDk?Nh z#&c0(9a#U6SbJr^(%1gl4^7nPZn){+*281KaHZ~W)6rk(-=@zmBns$T>rWsOHVDp{ z#%{K2(X{EE5~QMdQ~&my45nYh8)4W^Ln`rzjHu~HPMnb*KC>#-a7^}-q!0!H@gOoj zT8HEu;nLY(#=>|7g)dNM0*yW4eSTz-0g}2^zMhFZr_OrdUIAiy16`GHk(;GB5$Nl?6U?=>Y}E9>uZK(bFmi9J!nrZ*tBK5 zjK&eYxI8b~s0+3oQ5X(fVTV#XD2@UmM*r9o@_@v8jsl`o1O(1N#)s*=QgI28;L2#IZQ_kGy8Gt^MkYYN=Qw==(z6|Na(xgwO*4)jVIz+R;mR;8L z6CAD;vG^C0081zuvIbr(S+ju^?6@wQlNaWd+}ezF<%g;{KtwSbu|yJgB420CNJOM?AC#&A7usEE0C zCi>x&J1~71JDY-J)UcLeh~G4HUX>}cr`Mx5E+$?roE8f@h2h~Pi!IF!X8p#cdr!vA zh~13E9T};^Grn)gTPd#(L=n5%3Kr`;n8q)Q-w?9g54>phXY$QL()l81*r-{n$^Cj{ zgNS`EMCm709wq)*ZqQTuk}U-Wqm0Pa=aoCoXfl^V1A=9;m`H@&^R&Q>QOu(RPoFf< zo%E5nu4~?A+#XJg&2P-_CBDw@4~-a@ZfjZNvoaTl-&6rTEg4c|`cV$dJ5%X;sr%FR zpl2s^ibfy|nichw+v8<%e9p3)E{HT90O1s&R-@C0-7!gSH*O(+!rthc5r{{89})^z zH%f*dE!vY#BK%D23_hdCFB^Jqmi3AKkPE`i&GvqE1dnneqr9XJ%{;Ob(aD#v3(Ktt zTR35FNO3i^!ZV|ojj=|hJTSA`v%;b4%x2|~+lw--^ti*y=KRa6mmlnB>);zA9bl*UZ2fnekjCDQ&0itL4yIafRSRfkMc64M2-1I@qX z=$o~CJN2#=u~A5(j~M9uySmwEu9fm|Rq^zGGfX2=XCTML_IB1oxE! z_DHB^qN+3_*;X}%@>V+!;G{aC0qfkvoat0;Uo}OW+uKsDKbhDf4Q0a!&-FgvJn@m{ z)OYoam@TpxIO;}xE+HEvv=0+pj?aZ8jqDJe()=}^j&HD_D74VGh9GwS$$D>1A_+vX z4r+Ctcs3;`v`yj_5*4VN5x50br4Ge&zp8E4fd04!jX;tsp|gP^nkb_&3|R)$Z#v{bo*#y&}M_%`5g!Vz&x&d{bErp(#*(%p!n#D zFK3*c?{=-cqEP{^NamwkItTg-mI4zI*p@wXb-Ig+>9i%+50=ZJt`B8l6=9_`L6rM>^(sWjv z0nLs<0*=ATt8w^?gCQzhc6-#I-@GmkC+(`J4i|PKUxO<~L*<)aI`VDX)tZ`N-FJls zeKXORm;{6Bmn;Q(x_+u9nXCOG&xB>3pDuDkdMb9#rGA3WU%w{6C*)%*g{_JEB_7O3 z*6>Yfmuu#s_Ln>Y@<#n~9Nu3}9!KF)B6NH)6}Znw1db z`h`N=c`E{+_B$b16WZE_ASxU+GZM$X_+y5Soy7wfpgb+BaSNSN0G z{h_;$=x(|jHQRjMjT6@{3P)HMWtCKzn?<`93uT4`wv>qT_gN-O4P(Bk&yK+wZLnc# z@LTSiMEK?DvduR)jlPyhY~p7nq0D9yvSpmt48XxbxV0Jal^+F(0>*2u4%j@qoIDQe z2~u<>GBV3yO&0p00(-3Ul8#eIq5Bg`P<8p`t5Ra;cxgNF1F7nU5G^M?rmW+cVVvdF z9!k$V(pya;v!zHnnbAcWdx*oBOCG@ZZ-Yrv3d|z(DTz_%9$v{ps;ig!Re7mX=0};$ zm>3*Z3?hoxs~@LtDa^Q&X*!;N|LAWRT&EGhMMoQmy>^S|WNdZk!b;J6*ANgmz(_SL ze>^x|pzDCb@5tXQKM$7;U1Gj`Bl6PZ2svlOdR82$mx^mV*D&c!fiza5+OV zbk!+;nFhj5VozfS4mqMRht{|E{t#qClN>SQNZM9uma=s)J*gs(EgbJK0|6$OvslSO%fp^hb-(wH3)ruoT7F zj&ZT#(P6<{Qk-y?4URYQSEU<;Wpt3P)TAd($ahuXtbbby}3|i2JdiJE|jZnW|ir3`b)II^r@VHEm(1mKUly zLhx#zb!9{*a&KXpbOI)W`Q*^^j4lpD2u6hyBZA0^%7*m^b(h|^JeJ>>^`g08t`fE{Rd+pV_l2WBz=;2MxaH;%ok%%ari6Mi^ zIPA9<37K<^JR)Wvl@Me8T5CFlV8`UuT|#Qqe!GPt#L)08W$hUMPh6H-ZHHk<2s<8I z<4r(IWV`fN7rd=2* zuw@*%*}<-L8pUM{{@>7VY(68!6_Z~ca#hWzTqvLR{_v5R)v?9bWn1G2%$me^H&mcq z7j0WJ0-+TvXjVflPzX~+O=Z9+V^B%nzNycZAUaB#|ChOU>y_lV(#1$==GaJ_7sG&I zz%OZ}MRt40t;%~=1LFt7@UsE`0cTa^uF9^e%wk^l?%IF>HmTc;sL`CUbTkrhsF@K( z>QEBdB%5T5k|f2g40Eq2oi88Xf4YGX6?g@uXDYf|i*zJO zl?p&$?;J$qhm%PZEg;t|^IRZ=)kz;pgw4>@#H>SSs(NF-P!kR-)mVdr4X+5oZjL&4 zBS&3DTw9EHTugYq+_d*)8Y12wU|sjJL=!F2!>s6E0F|akkKM$a3W#|>l6??~XH8KP zVOeARRsuKG#PXVK2j*#d8j~hsH9L~;m%jMaQ|eGj9FV3dW~{VQgthdV6k-L1z}!3{ zdxotBKyz%1G?jEKuL%O7ykZ+opNL87cD>|AIzLCnkYbN#G!&R6cvBVVQ(H^;T1s=l zQfdJqR1D1HpZuu7Qa;bIT|6&5!`;h;mO*$R3=X1OTCD~~3>xg0%6JuD#6@#wijCv> zC?r8&oi))L!+9wKFO7XGq3?Z8yZtjk0gLzI^OW+8MymCO3y2m}EsFXMt#l{^D$JEx z2ncp?f%%%&%rx7V>pbNCj{0CplS4&$QeKEZc6PKZ>f$MUq6FTA5?tEsh)aBn?sEwy3;}$JPpm*)j73vMP*29;Jxs!AxKA;gm+nhHj189Jz5=c z&%|wPDVICPLaXe_eI+fCTY?6joYzxb|DFmT4#H#EY5;$sU)EFvoPqczxB$&>o>F$m z7AIld0f~N@T_nohSfFj_iHVF`>bGyW^2@JjXLLkat#8k88kNWAzJMuLC zHP-vQuBLfQZhq)_-*n*tw2kV|hIYtzSfeD9dR{GL7?%Qxq&<;W>6GwDywTd~ZY>vh zMo|k=#`7jt9HD`3WdxjOpr0uRUrY#jTE@bNhU!c&WDJT&ZfSWv_ie7)a$(lw%x(~d zlw(6ZiM4z5CvU{R{UIie$tSMwfn4E;KdhM zBP3;$SU|B1y^F)LGBfjMCvlc(a3nnzGVQ;~Ku&9BQ``u<ouu!*T}~mK_M0Vn?q=5 zL7T?hK8tg68<%A79ZE~He3_b)e2st;o?34cQ*Vq$WU^giK^sU^m+$P^vg)4E8(hhp zVO?U)@pd5P4BzAx^TQb#nnkb@)zfzLG{Hi6j%vO_1FL>xN|X zZHCnzK>>)P3G3t#hMyIm3eGAL-Thz zs&u-!e{97|j=a)bLZzfD*fL+|ReFY=SLD#V&akAhia8elYBA)7cAue6bbADvK{9-q*KhKP~jO=zVGeNRJN zbi$pG!V%c*0(;tGS3_zfBwi$|cq9?V62XCV&vyxeV+ghkZKr054mp;POu%s&DBy2>XC(F&R$RgsXUbsjwsBO2P4 zS*}035k7~OPoI%7R4)an8K2@I6D}yIX_@7qFfc#cgpY!`a!RtRn()}ec<7ZJHdwu8Q$7b?hoEdbw;125!xC=vQb zeq>P5)Oc<9~ko z__en>n(Xeq4YBFx9U(UZ>bOvl?z0RF5VJkw-{%zW#_6dQdY(|NOEf}o@Z8puyHN|j zOP;bOiUIpM6I%v)V0t|2Hk7Xr7U;P;{*|rhn3u2gH&}>%u*wC6HjoHTAQ6!9O2yF2 z!n!Vsc-ycVB(pTrtZ!ius_MK*VmZQ>G81lsupcw)-{U9aA%WQQQcirWzBjd=VdTo0 zp4Fw8BB1tpWT`x;)vv~bnolO{J`s0wgT#6?`b^JcBe&wtuBbnGCl=HrqC=vmgjOg{ zx_@M%i#kG3V9wLqpS+hblq;tLJmT;L`23GBDP!81&Xl4qlH8C-4m1XK0}jzBxbUB3qsa=hYVz{!Sh=)FQJ!aN*D>4gp`aaViZtXprz$gOex|kBk=IF zyr$D$MA0HG~j1QL+VKmrl*mDx8U=AICVWg=k&*)tRmY>y@2UT|y`Q*)ZE zD#?>0ij1DEl##;hL7X5Yv{N80L?9a z7Gtca?0LL_Vq-B_Xvy6wo@m&Hu8IB7RE1+o2!~Tt2o0(DJ`(?Q=mCyBw|*vf)R##Ufwj?2JC8>&}@~i z_qN5-^|19!&h=aL>%(_#xOFlUU{iTJOV5yEztyHR;#E8cEaC|6bJO@Q{@Jnk zgA<1csE%{f+J`$I6LLLp_mTKrcT7->QHuZ$MWw?wcTb>rMs6QQd@LB{fq#=%D2jMN zfX!WKprbuO$M^tNVtve@D8Urxp>n3<)pM0% z+DgqT6><{ghoO%0<@{WQbm@FiiVt97@@8BPbVjWMhHGeBh)KMx&C{tqKvDn7>5sD8 zvCWNnQ-u|O4)n7*S)sF@EKOOVB8((L_6PdlwImW1Nx5lq-{Y|*Tsn4?7t%O<8@Z% zh3rzVk&;|<-DW$I#2cFQe9|zEp4KZ8%1Rp_k#1i@y1GB(O5aaHD9DpcA))n(@`MCO zzfW<>lBVG@8OrU}^$Ir{Un8wqP7m%u-PPHI%S&<1RH8N&!m5@;Qhh=Szh`m6CLz^- zo?L*b040j(%R5*n_LBS`Z~paU(CV|8xUKQ;Bmb}fB>mHOhu0e<*dSl8YT}X{nqs1K zjhgX~O6}@nnLum6+{i;;WwMx21-ee2$%Y~`4klYNI`C$tq`4lpoV1H?E{Yo3msxP2J8;a*Jd@|d3O zRCX8DbGxX4x)-C>??eV}OfmyyM}dB0>E|i7C(Sz&NO94zA!S49 zx|a4J+br@VOEvl(hLUh7RMbK9xm>$25r^B&Wi z^{+D28_5M{a2QnB%u|y=A<6d-#f_~+EOvX(%f`~mlv@YuU*j38H4PKQmRTO-pHw_+ zS47rLAzB6CnHuqgrxayh8jMC^+}EMfxH_E6SbJW`I1Xd{=M6~(4H}wb8s3@s@-M{E zGp-a=Y6&90PE+o&8sjipB|uLZxj4$%sBQzBpxrcahwxRB@=j&AmEh>hAW*bn3r}^ zRkNZUbUAd9LuY&vSw5or*l`rH=cnTnmz#-fnTt}-o@#26_>K_YK?^5l3*tL=z{6nI zVZRB@FVlDH%cd8Yja~U(KE?vV*XAP>9yHdJ=g1ic5ws#xFOHf%F3qN<7n;)*k8-;l z5pkklB41UY9Y&;*b4L*6+33+k?}jpZEHkX=y*BVpi2oLid?Els#F%>}aeLD%35IV) zK-{?4mnLU&%6^2*elgn?2JBwtBJr-!N{bjg4wj-yj^p(c@7<$j)9e_ zEOnFr@L$wMCFBgMbN;;AB}r`&i;?JYc=_8u&}aQ(sd1Ka?x8E?;CR9+sjE%67oNuA zaUpiey_nypa&oo-`(JlIT)RS_IO_h;lQJ$#X?J2CO4X zq~@!ukFgVa!5}eLSK$)cC^Yk}N>pJZY~oF93SQN-rMg)W*8!ba7Z3>|Vmz5zbjp@H zXWkJx;n9?|gNTZ$E}X>t0sn0_sdYv_Y+8sd5?)yG2%aFcM!Q!~8n)_UL?^P$@;gnbDs09!XRJPj-+)QqaR*6+ zI*GjtI-7^olX#7OLBI_b2dZt>6{Vu#`YNaU)pH1|lkpTLk3F&@$3B`)TrA_PRF;gD z;2T2Ktcy&J4F&ClbW~l3kdG>f(~_vu7#b{(9GqYcc0KQSLS3Da@UrbWWD&5aE4QT3%UhAt~=E#{8XEeti8UF{?7jcb317hMT z(u{cx#CgaU&S@Ul}1~ zIMKC}HkH(1WO#@al4Ng!9%EmvNoZqux6dMrq_?G)S73=?f`k(3G zeE)ztlCx+(>Qm2pa+*61ZdyV>E)?EkLZYZaU2c9c$Q8h0;J3%X(MbeRL5~&G7Ansu zyp+SXftPD#HRs2X@QDU}-r9iY`J^cwu!1_!495cz9lNN*7?C}oPaVm@cjz4+nA>*5 z6Yid*0|M2qX1W7-M~=*+XuziHIeVfyA&M#08xK$3L*6@hp(4KZp&>_u=>PbKdT-S_ z)?kmQ^$;rVMQ3FyUVS}CAK$dI<9Q#_bdbr8Qh1p{66h5Jz#=U9s zvRo;mx+iC9+=E})@8zM=YoA={-~2**N+9dB+BJ$VxiFdw-HaUAV*NQY&p-K9aUr~e z6`qhQ;SNd2k75?Yn^A_JY04KXF{BY58A_n{Bx$NLtld^QF$*jr*&<2TB=%V+a#|`Z zNCl4@8J~vdDBfJyVJO1wiy(dwVxqhSkp)zm6W*&Z&M~2K(@HsBUk-krqF7Li$p5$WIV4;GsemU30*=-)@;a%}jJe|OrHDw1G>NxGB3)rmOnElvQPsT7*HDDEQ6Gws zhnX3tG%%bWifH>v_#YE`m1cSRs;PO99$KXpw&Mh6n9@gMvbD|&qLO6%*+=&?6P|k%b=ox`ZHtEdUS9i1*G%1`( znPfvL4Iq{m@I1SpB`ErNN`O4EEL0c)1j4ASOw?1MwTv$n$rH5`cMOq{sQ)2>qTM1l1T;=y=42^3#y z`b8)YE?ph7d@|vM=UK94*I4(E;DWw5+Toq}w&A+GZ<*JbIOA(`Jz*AH$K)bw;h-}b zR1$mb8Ip#Va_Axln9WQ+>Win*_Q@!Oc$?m$b+wnlVVPSQVPA%DNIEWL(Ef0qqbFjf zZvn=|>z2TC7|&!1EHH?WxnaNPEe`$skrmu0NGsupBJ7B^s^<{vxm3qUxuuEid8|ao zBO04MV-9*nPnYQnmyAav2&X|It=}7;#Tb2i%j2cQY~2A4YPh%Xd;R)w*<^uZkO&8w zWRfN8?OwGW_OG6n+|MGdNKZmGzgT~slG>6^dsu)l4WUXeOwM+^pLoU;W;-5Kuj%a9 z3XJ*!ZB}T2f#8ZA=sI3wm-eKRa?~noGj(!eHRuH`?13!?x3LuxsSQbb9pa8b39CD&~6TA z%)v~i(fj)~5=!f_Mm*jx(YUnS8x)GsVS|1~!aglTgHh`Yc|uop_ux8XrcOP`rTG$Q#=0mkR+&+$6+EJXU>lASo}BteS6mTHeA- z^aV#Opvy)f{emTTPdtPX=hq{X;jl%X8+I!^?@eJmQ}Fufxjd%{F?rGLgpe5KJjWU- zsFp&b)^)PIUM0s9c3)P&8Ow2uKm6x1^z06EID3=p-tQk(xhJkV;n_dT5zcwX)=Vh$ zglP_?TC>mtTTKi!d>V)Q7NeoRFRQh3v?(m~`{zNU6Fb7YXz!fL_6~A%?08ArOm>Ev z5Em)~(mm@_=RjU}$~C4@C=buNqd8U{ORbNb^^w>3Ku9k;UD5*^(LmXV+RlNEsC`)L zGzvK8OoKHgmC5oDN3vTCdp8*9cFV?_c~Z~f+q`on`;-Pt7Y z!(mKvnec`ouVP}w%rxYKPS5iL6)PIX5`#N^K#x(0(l%(@qb6!Zy)ih9igoi4*1_o~ z8U?Nb>D!Nqz0Qn0lI#x(d&}(=(GDUkZqbo=BuQBbZ2swro@d%jR!18q|f6v*AIX((^qKb*(i0SOK(w#uNo{E4s zpVp`?#|DVnav8SOLQ`(AyOJIKf-1^fU_D$x6KEdI6?ZqPT#nTOP9BS>{O(mECjAmk z1uXAcEq>&s=@CX`n50w`{V5wb$jg$n2T96>pW$0Au;a04p*lt#CMbQ~2&@*b@mS2@ zpo|KzHMCm1#>?}0y4rGYN`?}J+xl7K7TAL-X&|jslR?kWNY)x_$kI3?H_DrWHDWkq z5mJ8Q9W+5je8WvKr+wIrStSk@?oonF+?l?B$AXn36WBT5SRPe@54tPFvvyjG}VZEM0R5jn+he8EByJCJoOAaUk= zs&i&Vk}J%cf>9%fk)x=~)wW)eT)ZmlWo*XF6i=u1k~kLY*ig3_VofsLa@fRkI_~!* zJ1pu*W%ZAhWT(w#yrj2Ln%*We#X4O;Ma}225jF)M9~3;I)5f6S_IMz2D~rXzQg$VKhHOxPuouP#EPR1dh z9Rn&X);?&_T{tMbfez=N_yGd@wjtYSCdqsgiRQ!~@s7&ZA%hdwG4gVi4}yeNc*08< z9RzA{0F4h7QbBX6dQ4mNxY%l>Z7cyiDr#~4pem;vQKi9MV#W=O$7?9!jS=v14J~1v zPkB>KR7YZ@(psVs(+_FhnB6p^(Mj|r6QcbCO6&mD=8A$h)l^ON4~j1BE5hj%8ytKrQj3&4hrT{ zQugdYS?oyX4Al3aGH{2ftw<6)6FxeDQC2`Utyjus2>@fqLh@&be)Ss z$7v!cK}hw|2g7sJ1iwkO3 zDbMVQs;E3t7No==;y{&Bv7aRkBv-Oxwb6OST4NSSGr=jRrR9q}k0d9DG4kL2~U;z-V1 zCD4ID$2I;djuAB~WX2SujCezQiRrcnE`jw=&#qsh>SEBpUPJiOAQv*nSaZaB)pK|< zej8hS`rQlmk3iotOej{awiN_CX%Q!}^^`XFvB1FE4c?kBroEnb;(5j_S<*>qDug^5 z*j4OgPevm{IlZiN0i~6X%7oS)$>-*nkVhSfX4;T7T_MIr5=fyow8d!hV5_WRE*k|# zEx;Qyj7w#Edt<)1xM{6iRMwPU%InEZ>jm0#>93WT;nD({)8Cpgs@cZ8an6k| zk-n-0#>WhQ>taF{oe5cDjC0qgQ{f5Cd9appTS4knHZJ~`fMm%?50t1Znk!B zy}Enr_jU40#F6-Aa(4FHyJxBxA+A-pdzq^yA%YzmY(P`9dN^moEcdZ-y4pVSm%axMxy#L8wB>{ARCS z?#cMn-|+S&=I*t3yU%)<>JUGZoWIe1mfoj79#+adsQ~@?1Nr=2Dbu}P`Z9joFlgm| z&ZYbCBX&RqEA^kFc<=2M@9~2V|9?`R&-0ZE^RwL>cXzM9(S2p{+D|X< zUjKz80U>YhUVm+nhe?qxKDl2mHhHD<@_`8Zt^~i=&k@R-H$h(i$v_ISn=!h9NxHVu z>Kr9EKYioVH$VFZ{(Z;V{Pw4X`Ps++@XDv}&;}Q+cMfgw)Av66#%EvEK~#@4@%**F zfBUnq@T_h@f4Kq)qbkf#fAZ;qz~QN?A@VaUa{W#x zhGlABfBIhg8k&iE{j<-${n=L$9tBv(3k3V@7j2-pVi;q&AhY`8SO5I+5C7uvt6zEi z!L;LJ%06v^7}hY!heQL?1lcJ$aqo3Ir#R&uTs(vzh%tp+nft9Qr^6` zd-MI>o4=8NKgMHkDtPn3?x)|}z4=!64V_7U!poO-Z+>t0=6l`OW+u=2g#A;*dFAt;&=M$)%Tt+MA@`o|Lt_|LX4k$GiJ)@9y8* zz5lI$eDPamwt#lY3G)7HyZgV{-Tyw`@9uwhcmF*dfF5bs`0VcgVE6u??(V-Y-`~fc z_UtUi+n?>;zq`Bt#_s-4bafGtNW~4RDZ?$ zmv--dZ};wdU4XVVb(o)t^f!75sFu{9zbBvX4YHtgDjnbh`Sji0d*5QPE+4wN+E6IQ zyT9pwm!{%pV-@Gt?xQz$AHB2t==-~me!lzY-Q7pu+kJF@_tAIyAHJb}?1jaTukSwk zibNWGdv*8GgFOj&b#M34Pvvp&;Y|s9xA*FoFUs3rLatG!*#dQD?LPRE-3PziefSr< z58mE=_-!-g1_-Y|d|6(6N5AGmQ_F`BzPkJ1hr18IBC-B__u-2=1X_3=W09-RV-@ZL z^+A6oT3Y+z!+$NYzrs{L{L|eB_je!sT(a{@heTZ_uKbJ#r*p5i*H|@(69C9;{slMl>(5;l_CC3n^OaG z6h`HPH+B!+***CF?!nJ@58mB9_}=cp{oRA_?jHQj?ia7ng4Bd!v*1pu3;B)a2Lk`7 z2{x6PVIU4azP@|#6_NWR34~#}#H2I``0DP#gWZF_lnc(oaO--Co|xdf5x`ix)-MyZr!hZcu~G37Bp@y!Y__qd$H0 z?T7cwc=qfT{piu%M=wA8m3~)3o8wCa`}M>39^QNOB7VImYhe-3t%vU*?0wEK_{p!2 zzKZYfh|pJPrnQLC^`BKTB|0P`Dqc|Hqpv@Fz*liL#o}k&CNeNhjcB)8ZDWgbA6ZbC zm|P(9(qltCrQ~E}RrPw4ER9JlFb5W45&3`HkF2m-D5vyeqIiQ)XH7Im@Gt4J?OFj{ z0+k(nXbn<7#d0p7@Xyl*gRHVNKQ8w~DI@}YZ6*I+ElNSX4`gUw3oXORX3CF#zZ^U= zOj=rcT`6?ARn_X~TBQM^s)}ohSfQJ!!^=}wOR;-W#+ITBKs%heCT|oKjs~rMka(3$ z8=wl?@(}T|SkNvo{hYcZ9tXRlQB#0JSp-%PfX_g;3=LKH^MDRjtGk^+Y)`NpBEdCK zHEG+{eB-vzMls20``xjFq)@H*gD+ff6r75Nx4CjSL~S=Hu;>uo#yJ_888S+!dJ=$_ zr#Wr$nx4>MlGx&}+BD=bF~la_UM8q36>VvwrcsW`Vb#(;V7(cP(oTZkj??j_l`=LW4x>A~z~BM; zm>7bV>iCkbqsQxv?BhE8#d#OH!l>7V0t~gb`vd>F+OQO@g%x?fX35 z8pK7cG$NT!LSYh)7$`qIMb|a_Uah{>xgPKNAvV$32JZ?%^0_~vCmH8N%<_qlHPP~Rq1Av6mg+S?xN!~RZCc7#7W67 znPFw^>RfT=j=Q)BI&2=OQWUud`y2~Uz2+CYp(wTIS| z4N_ZUvhG>R=5A;xMp$u2F${?xFENVRD1o+p(ljQWA(nu@w{Zf?_1ZXL7fb=6YZ2jC zFs=m(Za)qUf#QtjKMgf^C&c%;(o4MYK|DGeY*vH=jZY6s7CEG-^?NacE@m$UF=HAC zvi;E2QN<^D7Kui)dSWR)NaCS+R?a9rB$@Oy?kG*yL;22DWYcfsW)JM2d#>F|st#nC*^9 zXBu{~JiCqM_A=>7M^`4AVdzCVj@QKbe`p<<%XD5{!3ZignVr{xI1#njsvTJ-Cb`g5 z6o}$i(+eWrgRE!)e6Z;j2)fl7zcn6Zj(^L*Nu z8lY90Z2P@TxW@t$*T~c^6Jl&CQrqCsL7pQd+(_>Sca8@i?=z-cCz34|;XO-Y9m%~a zWB=|CpL$9;7#4L&xFOoyWF@s<&E?a27*@%hNse)RC3MMO@sA{=K%leY`Z>DjZ( zSTUyX278sCZSylUw(m5|#C4UP)+=EVHfMQK3KSKcl}t?0lGuk2fBERou)Tcn@R!(| zKKzI;v6K8YAMPXdcd?!P8d5Lfi`BNCq|h_4-7B+L$ON%{wupP4<#QsLOX99Usv>CW z$nKi?%E;NWCVDx$TFH&-FCV@9=o?7=7byDsEbMO{evJL?i`deB&=&cD`tUx&;}x>@ zvia~=sFXjm%2i!1VpKUoKyNPUiv{Z<X|dR`6xl4clX$v7-7k_f<8o>8ha{p1$jeod z2#~J!w2(so=Fztw{R!lK8`X>=ej7#oHQRNwjmrh}gDt8y+r}4*3|s8HzokL`ZuMnP=~q(fBo=*mD4;d-y-TN6Ez?; zH`}DlQme^+5UK1ZahG$c^A{oFBgs4KM*8KulKVBZ-zBq-dMTdWCTGLUM~1XNDcYbC<(vZGjBY)i%)V?!s=@y+{CP1W=wsX zuQ8HyteE9q29&qss!Z7V(d)m0%KGJ_SJ3|+pbR4K*Q`Yp2Eoi{%LVq>5SbB^`alw@ z24&tPEI5kW3lNSBp#@uu-w>8I$p6q}XGfVn)Xnket5$k}?y=1;qyd(Tw(c1}FQlHz zh0uJ6h+H|QTa>e`5n{&n*sIo@Lf~7!Pl9hYWw@DkW!PsurR+9D6>fD zxtdo{?=H{*X7TFTEZtga_S#(B?(&`dYmUXBm4qmMrJG~dmr+D z_2^{_!)ja45;8hM!Wkx;bq(E^V@75LNREqmLW*gWBcE+8eem^8+p$nV@1w3T51^X9 zZ85m&SrQ@L_8SA@&_8F13@dhqN3UQU-A>A9F&! z$4pj{EN_}aXRb4X8Y>G#>Zw?!$PW!&S-i8)gl|UKE{7yHAz=%dAo7fzs6g$B%OI5K z(2>t{J*jf?RAlKgU&ZMRD*AN0!5r5F@l^rn%!x^g&Odn^Hn-B=i;TN$pJ_0UW~#R8Qma8oDoL)1=6)d5w(lrcwpN017cXqzN-#WA$Y_ zuEZQtGj27(BI5kbIg26kf_)llTk~;jU8M0$xg%SvWD=95RVvOl+>y13p*I!rf{v_R z%LRlw#UQn5K8$peRSG?9mYXx)_R~Rk1!ZzdQUtaZt=+qhAt@s=4@o$7NsdB{bc+Y* zTmvY5MDOoz1SXg<*yyVl{^f zC@Aa13AF-Wg%c{$WN*}$aXm{-wIry_c!oC;hiGVxXm3uvDOPvPG}zpaeVW)8IStll z@dEL;Bvbas*4Q>~{6|Csv7Wyg_@gd=C&-VR93hy{Y4>|a8LCf`gjKjfH%d2X=rbM< z^fn#ZcbN|B{s@_lPC{Y47QWTSkAen31leV`CrJ%ff38U_R?|R+L-$yYD%YCT8 zTkI$j>hGx{{+!JS(R)U!#Am2q(bKv-PieK@3XKLrUBcmUEYi_~z#ylm)X7#E0fzCo zSwKZjCOs^&L39t%#~i7cClN#(a>X6}oL1OV!qIY-SNx9R@xM$6kzVGt*!;J9OlKh0 zhgg>*n@%pX`VK}b(GT+0Uux{BCPT=9E)roGIAFk>cz0=fi*tyICDf6aY`+&&}45j^Jlph?e&bFFYQ1I zJ(N67F=KSq=_04E$`lj8+`LH3<$lNLAxaITL{eYk_-U1B{c|$H6f)meF?ky>u(Ysq z>2v2OstOr>LKUoNj9ZqX|-qZec~D ztBc$m>`gtxF{1D<+<_GKUfcLzzwp#k>c;eZktC~9oncODQpa-MGx@VJl#jSVQ6v-t zwsPr;#|^$Ql>_Ra{Uj&4Wio}nTrT9A`bIdqDXPa_P+Nkorn5q(^+hs+ZgyjQG;Euq zdBgTE2|?(E4YmczIdNXvaD^=ar2y5DkQiykVlRlC=lg?VK&Lfk!)mY(l0-p$dq0@V zC3>?^q~$mK<3Y~q6_vwNvWa1MTo!Eh$&dc_SCjIxq|{;iu=X8WLRNw~QgoF@NB_{b zR+AE;Co(kHpd%w0%JkI*+n_F-z}O5VjT<`eL9ocU-G-8i<^0sV~#H zDxl*W`JQa$m~NBAQ*nc$w>biS^@~qEb)F>4J&b}w2zM2@1;l#Z% z)`T!aQueMhjr$1zMAb-(N+mlF&&Wjn`#MmgQ+^K%- zg&sCv<1SLr);cF)p2(a}@@*S~OsaO|$-%-vWz#KH6?s}|$Ix?iH^`igMsm(D)X$FA zwnRZ6^js$jc;qnD##GI9b5p>(edJlFWYF%a{*n&u5&NDqbrD%~j;&mn|}q0uLZJi&{bE>U8;vS3V# z(D?1f8wxG0d{StfHC8}UA_$5GtHhHT=Q*=^cJ#BnH#8)*J8H0hP^4vAT}i3KK?Da(G*w+yb1n^OHp}yZ+!FdoM$oBl zq&KbfOdMac*-CEUn9-5`8|uGqKjU_!!L}iPU1z*(=%h-nWv5i-SaD3XLw?>o;|Z3q zboc7U>D5iYWcIK6Y%F@ch)uDb(bfSSQ#Zu1zJy)OQf^WD)fBcZ zFlgwoe*d9-R;mCJ3LR{P6}g65CW{vG;S|>q6FnO z9EsPqcj7`zh|5%<1gY%u9GYxbmK!L_ZmiG*<4mcI#bUM=lVfa=kSW`TB-+RL^cVJw zHAZ9_LsZSiuNWhhhVgAY@u(d zKw+c766f-#f-1J)uhy<J>Jvcj637bbKzjn>i1Xg!e*;(?=bx zI367!gC6m(Nh`N31=O|`iYY1CT4=pAQ+#~_3rWa>m7EkSD~q8_m&Xy*)+Dls%5rhR zh8`-Lob?pzB2DM|(s7?*|oa7oaFgDP0aS# zWf4!*fl$}3T9(GaY-NSajRSp98#9z#R%y5(z$B1`{()h^>2_M?D;|xu8uVVlB6bqb z_{V?w)Kk1C&=zT}R8v(Rp})DFqdhuWURCNTiE7OMLtXBaVb;#8N}_cLn2B3@uI*;pR!lcjBl8~lpc17Z%%3GL^Z(}t$l}>nR!nQzY zOEMX^`b)i5-X@Cu_IRa6df#jFEXGujtb~5#S{Uo1lRVw71LDP6%hb}}yD}pt}!)_+~PbFU8RAMFC9Iq9T z95j_u#?wL+eARJRDW_Vg_VwB% z3VO_K;{`ok>WL6#F^z&~KF^z3yhPOLB3~vtF)@n1MYdGE^?S~2!KIFt#uKebnuKgy zkR?Wdy|lQWSaSSK-CL$y11h^Pw!K51RKihH`yviPd|A`GZ8{2}riw8q567n%9bk1J z3=tXO(W%gewyoOVxkgH=_MA2;aw~JHO(x0Z4J21Tzteo<=o1~=BI#Oro}O06#UC#b z5%MLyYgV1zCfD>H>@w;Eg_ZgfrClayK}2q9Q;If{R&q(TyUuB(@#OA3YExU**!azo zq#y^uGPh<>;ziNcz<)F;WFH7Dx(mef8ZUeZ#=S8RHF`$ zcM5HSl_q5qZtn%z>M`#x(hULndd^e4@tfwW>`B8p=nBg1)FLmB*72Z*)5X*r-$KVJ z=CNRD+Ln9Ej;>j?ew(7Y$7K`IQmDGd(Du~GzHTdey;|iyH7*xIe%LRbF4I9*by{b% zC-+sEMcg*A2@QC1WyDdcp}-BrZGlO;vs|M8U>}&QspifFE^QK5gT|X;AR&WKUf2aS zRW%<*$fT&3azAx-`>DDWW=rmbNXFY$vC}%xU9XPCh`Jr48_Z)j3|d~ia8NmQK)*hK;6pRw#<^`>g4nsWgJy5w1X zI!HP$h%9qc4i}_Tb(0=fLi?7(oXg>?LY=>KLYNitxpEmeo~nG8!sIC0I-QBfU^5;4 zj*FCBaLD!mN^)hc3;^PK3{IP*;$fL{^gu^?K@GW*YB(1}#A~YirVKQu!;``IOrUK0 z%&kYu=IEUYDk~|Gb)C?l4Qy;8o!_a(>{hA}>=O5XmM2Gt5r?VwJLo^kxkzLuD`Jmg zBFTwze6U%?HkH*;<;yMA?AtMB%WglaL{up%5`8?q7-Wvf|K~$>%~LwAFk5zGyW@a9 zKDeVcrDeL!p*Zjeg60qEGfKlO_OjOP97RD`@$`C-wO*@)T$;-`H)%V_B4Q=HNLSrf zP76vfPmxDtZz*O+YMLOpg&pWRpQLJ!sMwK@Pb5JrIGyJOk9+d7G&$?-J*B@mgDcOg zYO39|g?cy3qb^NDeMy%Y-LiuYHhj>wUMoo5ha-D+axkfcx9sp(&v4t=m}|{BdCh3# zyEhzctSp{&e1q6-K$MuOtW~=suVuWvWFLyzw$~BVYGfbl3EiY~(A^sui#*F$^{T#P zk+ZvFgOq@OO9aZ7^=0`|9duYzoglS~+ty2#4@%f@zav$JU4YO~O!nHT+cZG~jwdxX z(Q5+iT&+tff!@&!bsM7z+NG#@2(21^#%myw6k@J~3aFdVwvY9IQLEzRC5hzGc9VL0 zX}j6}@i}JPiYc~)eMj-Kc%HI5U0u~nwDUkx)Jnq6J}+u4Hy5bz%Z9S!Q0qB5Ho{gC z*8dFgl%w-th$#bp+Ci%J^KUsW<`}Fo#jt=um#vr`8y(#|MS1peR^`beU(KYdMz>u1 zc+UJ*SOrn1HR>G`^Aq=;oC1-(Bb~u(1@`*Fks)(g^Ld?`jSMYWv}JOQ{6w6Xy6VE~ zWt`4B*)r{SI=tWroAaD7-D*Lwr4uyc<#606C(2<@*qfbP)(JXWzKw^KqFgJl+gv^e zNUyb)?7-;0gY2kch`5}M#vse|l36>rMM~c$V==wH_lEEj=7WRY8QpTDV}n?^;T~)G zb$mN7(rSCNt?Oa*|Ne_lJtgQIa@Sa*Ve?g~n5Rlit)=2dKjivp@|9Yf?YJkVlqI^su015t1U=gCs=?gxqRhsK=&I?R!g{Vltg+CC3d6p7BVEM2t_%EV1NYvwd%! zW7AQIbz=8!T}%I9MaWO_As6-|%lF0xiRrY#0x4qg<6Np*Hi*{#*Zw!&ah1L{(^n`5jDbHuC_&mERhh3nyhOe6iZ|oV+;W8*^ z=pRtSb&;E2rux_k*3Y^JNPji^UCtl5#&4ef9ceI(p5|}22H&*LozmlZK(!D>Lkf(3 zTnFQnus0@&Y3Ip+2qFrFhN&{U$eb2B(HISB)|Uq5C0=hP1cM^M1|i)C841TofW$Sk zz7$TPeJLItVd@w|ht^jMY?Sx16&#bYpO=_;K`R=4ne;yAkVocYbDm@vNh`CGdpj%R zo%s!_-wbo}$4>ty5@ANR%LE#I zVRj;fBB43Ewz~dgIb^9DHJ5QTDhY+WTS#v7(aF^eg_ zGS^(T>29g-cdbYZx0=`rdiu*n;h zO8&pdXGJ=%lMBf7DAZG>cABoETo%-6SwjUW(|jX0N1X|bu$GMWSrg0PJZXDlBr>DE zNM~e`*Viny=jl?jMVj=^Ah6xGO<>UagT5pgRzuKsn+_n-Lrd})S1UTkPFq>DmnpZa zGjX=`l}Neq*CfMe`=D!kuW6^-b%qr#+hz&5{?=|dhw%6xQUcaL;g$)Im7l_Bq5 z9nt_-)la|vd_~HmhiI2Q$FXP{nevQkP~NtYb-z3|MEzmyHN8`)2~jLz{w3O9vB+nM zE_X9@&|dUWBbAoTym{^Xre{tJN6c-hs+DlBpuD>^Cf@7^fDbSL;jjrJ3Rh3z8 zxP3XU7wKH~>d_r4G%AOrt_<6H9L%|U{oQUyrJBj6Sgf`O{RY2%E!Os+0C3+;dsI@X zm1et$?$02DCGKEIg~N5Z%eiAKlq;D}rtxqP^~=)J$^0YhXgKVtVV6Ke%dP1mr=511 zRQ)8-J?LzEsP63z1AkAekcp5SoZ_BX%TkYqOixLpKCG6*Z1>vJ>vdzN$@DClVq9=| zEn^zFKtL;P5ue9t+D=@9RmmSL`f7|(7KTK#T3{!4+Up|NXF#FMO*yP-mgQdd{NX6m zOY+B0t8+6;Lk4gYBV^~A$2?|DR9oY8YR1_%&gPc>Gv6kpVoCKgFDr;kYuTagxyGbM zUDGBMIUbLFOFwt9ngC5S*Yn9rzNoYL?b=+BO>c$RmVTrDPU>azqDxPznP-#81ZHBy zQ4d{O`ePHrvt8RZ=I61&oFdMp>Urty%J;D}s8jjx&WgaFyJ#94`n*#*GGXNSt$N z@1%}EF_@CdjAyfgF3O8UY=lnv?#5c2#BXwL;wh+-$I}?z;#HN9ERy^X`&Dmba#~Hr z0w0m_f*ke^I;Bf*hLAkXOCFtNOC7}?nLL-6(zroK!hW87>m1e*BL#+Qou;Rl&dB*h z9a|i(ZL=Jt<+`M4AIX%4Xwlg4m?4?4JkEs)c^~B!9b^?)q>gDbCY61M%!p&dC#K3? zSq|U0PQ-YlE=6o$Qrg6Bo6N_TJJ1{fl!6X-}O=KT66jC>5 zo}Dp$BiAW!&dy@d$rgFJQ93mj39+izUBWldx7-QOTUj33DdeO=1Vwv9ugQ{HH&^aW zQV@7pawWZ2xAkbeSND$Nk?8rRAf=B+F8wHx{)Cq2y6(}cnYpTGtNgr;MeQ?iZVJTu z*cU`6nlsOd3A9zm;#&*@?%e4_BKz;IPEiZzx)U}{G)7?p*<`Ecpl@-ys@61fkbIP= z@Pn=tVa@ef1%a+k-~3}s0Sm|lCihVnSd#YI(B_W8cXjqhwu%>5&s1F|9lYD`G+jJf zh=u8s*|o8x)$ath6L5^kkZU9a=<2?$Qw}`>QB7qK<=mDj5z1SQ9odp159{6zLM=k7 zDk4%9^pga!3e1pQ0nkQ!)fJ$+JZ?h-J(KuV$ZW0K*>w(r+bX!^)!~_-RV3+zi+-C5 z=9m4-^-)P)s46KM2gd*P#iyR)9D0f=JhxPr5Okaz>gwq!K_OPjY1RCeGjF2_X11X4 z@hNpb9-vRBL_(;lbWR_rgxBK@8mUbKB#r*SgUxz2?L_6LW|44MlyVI*OV09DUCA=e z^LDP|lN?IIP#{LK@YOKOoTsnB3%2{p)}uwhn@i%v5rNwE^Qs)?pW zl&@)gRiTj?^de3pY1|2;V^fjL6)QkfnF#?hb8{7Ai;N}j_Y{k6Td@Yrcq+?US}x=? z7CKiwW0t4!?Hr4|6AiF&uOl8+kPzTiEVqh^MjCXa!?#nO-jKDSL`O(tB%J^5xhGU- zJ>kv5-fYz%Z{ZI*TDIROya6(;^E*pl)yOl3&BcWvogc_^JBL~6D%cn%*ne?u zSZ;#mVAl7AT|GopA+nP0T$OUO<5gi=EO{xJtmFCW>V6Vu#>E%)U5IjcWZ#I1w#(jt zIb@a4lR?hzr}<{9=Ib<5!Ni)Jpl~^qDjAoUsG`79JiI7#TicE?&{w6wMBiQ{}L&g@()sp1tID}qKiX6!1KpS-AXf0xAR4_eI9 za>|5hRYVtDp#y1fvn30y(8DZvI^8IO3c4XVa+f;GwkNo8+g9KOQFKMoqLIiQTN6wK z$|LT2vK4LvB3>bT?69tE>xG);slys832--ET#7tBd zP0*r#w-yxYrPAVz2@SW2bR~ZjHid`XWgPQAf7C)J8Pl3Z3UV~gd3tN97s#!;Qilo` zg%+X>V$t0$vlK#_*l}nBhk#RwBtlG1^dM9DCK|WXwQ$5ItL1`-LA+|jUB-%OQN_gd}6M{Y(kX44@h2}s`RivzeNlwCWVwdN)d6$pP#6hjS*04M5 zW9u}C_hMa6l`LKwr-dLy@Hk4Nsf_!`C@bNN5aJssoXXDJ(RM-H0oz7ZCyjuh5zxZ1 z)T>n!m!@gsKttFws$-ldvnFcTrrqG#aCU?0%xAC{0bS)C6jLBs4}8FAIBj0b<{0%icsgg^V;P6z~1c+PZS2key7&Z{QUOVVwwEV@67&u=SW486h6+hOPLWsH>|-`b>ARZi++zGy}HR_n)V{15w370rW?Wc`k~6-N+T%bNms zi1p)4&bfH8U+@T2KxOHefb9=94BJ^Ec#oKq2Jo$+g3B9QwgNn)uLpOX;@mOe%~8^z zF)pF1wg>bJGrr>$#IEr=vw3-nn|G~S1Um!9OO#*;j^!IFk5ybM;$(T=n~c} zxnovXGSH=H)0EEQtujZS#fz1-POu`7o`4vN1br}{AprJlt9JUW8tM`RWxg7#kRmV~dB>#a6&9x@zxLaks^CdbJZ6UO=2ynXm-FY*52{ z9SK?5uk%jqcv#-=d_nJmpxF_uMEJZg+9v#GBj8Z9h*h=(SrrRO6RMSfxCExAf`Dlq zTU^edrWn*V4>1PZwya8J9F>%t%!+5y{TE5RO2`(rrR<6Z7y|FX)h$M;vI~5_pc5Op zz^lBp@O&qQMzRtQjb%&}1-T^bFis*)APDk7#KZj)bW5(2))z6B{+o^53CnNKW%x}tqQGdk;x#w!**=k2y zB~$Zs0&S^@<|qrt+wmNGdQ zYB3>Ru!QqQNY@W6&p8QHIJw!m8-sL{H<5vXDHF zx9x+vp4JBF3KQ`;S>$C`)&k>=ZKB{U2tc0aJoHJ=6q7?SC%H(>H5Ri%3*gm1G zxRi1I6pcd`XhE;?t|fIvaNTE>V~{}|PhsOVxzpHWSBij&pH+n3ory}$oQ=)%C6`#y zH3YOu)X?Z!@{-wn5_4|W!a^miS6$C(K z>(NV(UXd#rY`aMD%afKblay^VK5<=hy|P9p4tD9Aia!DuKa3?Qz?QMlcs+Xg@9sYQ zKq%AJ^&Fd{FPpwa(#8`P^{}#>6L%!Bos%$>*mJS-DJ{}z|J~h3FFySB!}lM34f8}L zZh%+>PMmNYc`9}k1?CGC-gyCk7-tDqQ|sZo58o$)*~5?j?k=q$X!!5Z>KAjxiQUB{ zyt|5uUnqA{ouO8iEc^S9UZNDpcz_aoWW6B78U<;H1ITfL6UQC5f;RX&4kL48lV{S&?$=LT>F_Utk1>skdA8CsB|L$&+A!(8( zJER|RA~wtTWNbr_k9u@OkPp$J2>L4wb;Ten9JXAb^+c=)LuHtAA6u73#-n&^q(IB{ z365jU>SDs4Mhv-iTum27V->t9a^YFR6sRnGn<$t>8D^o~43D~~1mRX-YH_9g z-myH3M;irfO=UygOV8$_71XRiQsLN^3tezyiOgX+A40tbb~IB-0+l> z_#DNciaRvnjwgZ^Fwp7i^@hh1Ik843b*UU3`_<9h!|BbsC!A842{5{7_R2+5DDB8E zonSXKXp|PKH|S!Ev5Gp1%})grBpGxscJdnY97=%-?npO!B3vOhlWWlPl(rz1Cg2_R za}DuX#7U14#O=f=knp^o(3PQPVw||l^;R|HpgDTnx1E51_9*0;h>=Xa9rmd*oorV^ z)0g!bQ<|eWPngK;2o?E4ohECs42ZRv4+%&U5)ELyZ1+mlZ&(f2?Q|kTnyJhbjv{8p zg=~4TJI01m5ad!C0Vmw!@*-VdLwC_5VPVViY)j;TLA&&7Q$=%oH8CbX8y!R{diSz3 zi5oNK?L{pIOmuEk!#2@&9z=FU<)pGcbd}?CK|zsh}n| z_BoMtirEe2coubnSvy`SJB3`CMaXDX`0tuHIZ(wI4XKW=lkuE-*r_(Cwz};~&}Isw zyhs16vv%(ahWC})W|{J;Xm3*bO}M1z5bxaN1^}Z>-R3mV#6>cjnKxV-;|nYvMp8ev z3al^eMq_MpE<_=d^U{=F(7d9qlQR^ZhO17Xgm`@+G~F*seQ`)E?_*hTq9*njo6dtQ z$c-1Tt+cSc$W7Az2wSgSvk-K`qJ%a+I|z=HpWNNmdjG1#oS28J63wP$-j@4 z!afud1^ULd$nS(LNZIQaR8#lscNhttl>sZnAw2?72d&9JO@n`#T>F4@7 zx^NbrL&uueRloFHS&p>6P~7m&uM#ErJYSvhP%>WAin1>zF#hU`m-pEgOtRyL zX*zDV;9HwTo@D7Ab+6WNW>|SSr!Hzoz8`jQzfKp?YlCVaot)Obm^6v1x`bNqkN|dk z7%`;DA{2BI4zsiStsoWC9{Z>eXLJ~o)-u{}#5o!L6aXki8HvY#qhPr8_HFQ(u6%?z`v)8rHvD1f*9nBl+=N|>bf%j!k0<#GTUy9_GJjA8Zac5QIS zUE}}!7gv!t5v(ddJ+>n*T2@QbGbIjgLXQx+4R>2%<3`w|K0S?B zxp263bW~5s7Wb@;#cP|bL%JldDWRi8iCIG9qat<&1D>o-(mvgl$3)%0ik?(gJtC}8 zBkh1?3Ux1C$s@d_PkDN>3R8zD9&>&V|AZBR(*pxt- z(vzN^DM|)>OgKO$kAq|!c01hOhCSK&*|QK?f<>k+Iy|< zgVPVyD;(ELzUZ47im(CSm)+0d^D(6NK7O=T9hoLqmxb(m7gS(<{jQSHIj>FcszmpK zAM9!mvgem`9$Z9n*7YD%5AwVbZPd8X+pIuPuHA7HS(< z!`jvjo*l?AIOOT_#6rXKti%O}#MkyQ$hZyQDGIkRl;fy!0<-TGzbgkWGEf^hp7t@# zDs4c&YHN7$yh6pHcV<=$c&1@79ge$(1T2Xwg5f8|qWMK-G+L)ZIyX#^YuM6rB~Gz}qU7#}#(I z8uyK_e}ya_`6=Y)Nybiq3>MX$^uAF8Mg>p^IukE&Ecq+U8Z|MvU#;`R0OUhoNk;nb z5z=1j6>TK6VJ(+2LX5Qj>5Kg{R^YGdLIQ^v9GEUJ8;UIMXN!#z@gs0$2&R*=yO?;) zwBIEYe4XWc^`cbrCdN-nvY#2k)r?J$H$`eBg3{7zb)vJYNI)YbZh7LkOU6HKsy)T| z3C9rQM~-$WJ#P{NSdaM61gRwh0O(1IcSw-*(I4uLveS@NPfh=pSF=J-lSjUCs>)TK zt=H+a2-opV&0qKn`n}F@CjrF!!LJNt3AlEwr7fO8<@)1M=#&SdtjLM9C9r7|z{~U7 z7mXI}Ir1xeV1vy(W;Et=)hcowDCYE3Qf&=T7Aa}eVTpy z7;lKoh)^JsuE^Ds&EU_2JpJnkA{j-6Oho#T8)#(YvuiGc;gryj)C)xcH$J9z*0*WF zu$H55Mt=+|8n~vmFWIpdw>L~@r0>ck-joO>GZOBIrp)*8YUb-<1wGT%YDAzhAp405 zqbY`f2vM7G^N*+2$sYv(dd2%rp~+nB0x$4PZCf^U#%9Gj<({}lw_9Cl+!+!unu;kN;0 zWuGSOY>7x=KqgK;U&9IM)O~m;53O`G<}CU@!&3A$2`9 z%?{|C^DK`Jdxwe+NHM2=(K^M-HhqtV!?aEM8HR|22yEERmSdY5?pxmAO35{8m;&l# z*SCEx*9Y=lsC}D`A7QxwbDkkcX9gbvLL?+X5i~im@E&P((6OH8v}0)i>^3^GI~<<{ z|EE47%V3=rHJ+qF^Jf4(0sbCm*fcoO;IO97v4Ls1<~@$VQ`7FBH9s$Rf@p;dqd#70 zjuH5%YgQaG)ET(;1``5sb6;Yk+sP09ge|0wb8!qs)>l7}aIR27i$b7q*tEKK z>8a-9G7(>s3UBeaDjPKb!2X9aKT$;@n&aSolqdo2(_)pXpMCHE*%GQx>Ezwff?b|k z$_)2o+I^NO;t(h=BNFlt`3Q7X>5^%{$8*7Ad{pD1t%Ua(@9X$aKETXgrMpb!Q_e>n z;^ZsbhS1JNlceHVNO}_g*C^E7(eQWdjS^cVs1Kkp08G?V`4kTdmk$gD_`!qx3YR4g zEo3@1D`CD!^$W%|dQuyj`Z- z*)>G!lbsl(Yz@-38+jo{i(GO*zi8e*X4#ikEYNb#{s?T3ck0 zwbc_4QLoaC0vf8N$=Dnb$Brs;1sa6@^z=wsbHT0Rj|!A3HQS7o-uEo4JHMG+wP#i( z!z<2U)ny0XsaJ8U_yD|7fi$+z3ejO>N++gJbwehGA+6?pX(GLj@Jsp+h%AS!JFBiS zwbG{i{_MABw$O7qh@&o0DlT|}`G8k%znJK9?C zT#(hYzZu0!zXRJm4EQvW5~45Mh5^AFh^-Ze_Z+iw*pmQvk1sFv?)B#?6{tDlY*mCe z%wMJYBt(r(Fz~%cjhTfc>cwtJJK1I=5znd{=B`14Bux*rnjITf)cz3DajGglPlRL6 z2Ve$Nab{%s!noJ66<^}aY}AqCfES1i z-Av!LOT6cwxfeT0{#g=JuliS5Z7@drQaGuyM_RhqxQ#l&-mr>S2ATH*W1lrO9i|mX z&PWPq&Tg|g&5RC{Q`&Q+F7nR5J%Q8jmA(VGqQ1-a^Odg;S(PE8P4`~&WvsqA&{WT} zJ!X4<$faeAt2farcBF8`1O6CB!of}J7G${FcNOHk)-$%a;8_Rd^H+cMS8o;cZ@>u> z`gCV6D&`gCKGg6=MD`)+sAPb#|uH#YeL+{y;FT&w?@Zj=3vN595aq03vu+l;gD zZ7$!a%Hs#^$#{BfYPVD1bUiQ@#GZ!3vD80{9{@*cdE7 z+|#U#=W5h7V~{D5yZ$wJJP@(Oc7?q4;3hxdJ8CPW#5NL({kzYe=9>`oSL!OuzXy<; z9VtO~2s6Al9*x{MtVz$JvJ$*>7V-|nj($*P1?Ieynx8C%HNYL)4Cw7njv zJ3wA&At1+LGzg1h!vihmJG3oMZQ6qGb`=?ME%-5Q5Ny~XBS+Z4aL|%;xx__6neX(w zqNU{>OF|b{WrB@q_=bFJ&?gCv80cm3RXaIslGvS z8jhrV)DZ?Kd2H9P1A%e`{GO}*2fuvzvRSv)I#xh?@Z|0^_YUxD4X;#LSeothFkd#i z%mMSBmN}>iit-4zCDQ#_O9L!09I|Vpn8Zn{xSd}r?=^3L z3x^n<0&d!LdW!hV+?OR}hjgd^Emv0GJ{As%9P>|=J{m8Jf55j?2;jvcBtAevRHCN-|g z{R!91@fL+ZzXvHaVv2%yD}G88FF0oerZ?@hO-!AW=47nU4|sj>JxU8UyRyi3 zu}+%QF)QjF9&Ek>s}CLtxRBqKWQFm8tctSW{HYq@Vir6-e^N*(In=*8hM7s{(Y7=Y zPy%0EMS+tIrqtGdn_NQ{mrQMgiq`2H1t;HE#Q7SNVXHb|jjY&Cg_{!tJr0V9g!U zJ@wS{r%#)-n9iYoW(LL@SloQ?0Bwq<NGh73BU`m(|cbH)47USnwI(zr5DRred zYAfV%rychk=Wwk(lO1Xg5_*J1Hm&W1V_Pu~;+BNaw2t$5G!N|2W*8dBY;$GaPRHnKBhFLo|Nd()UI099l>tZ| zPjlzDHL5a=z+SHre~bINqGlxfJ_QDQkO1jBV7;==OT&w3Po-if_3qzNAm($$NO8fu+aZXPc3~^>DC;-_>-vLsq;;9# zZPE&y5U*NPC--I!Qex80^LJ^)Z8rh}7WG$nyAaYI@gl`a9_eK7C}8>gy$b%pmgNJ; zDvS(o+6ayh?laKtj=`fTw0-_eo;_SN2199iMu}&cYyFiaHOLXc?i5-E6SIXkbF2Zp zY&w91rrP<@&BU9Bv`WwzFLWIvw9&t}(r?>}=ag@IAQ*x|d@Fgu@ytz}VD8~%6@HSp zOMsGNg(fszghbq~eoYI5vHS713IG5axm)R5c(v8|lO)@KC-h7sx;+9pd-oZk51l=* zuhgF=9R^kd&1FUNA&fxLhZo>+>hZ*&?u479>EQ|6$AY^|ylf$|O=x+3cG_Vfgpm)O z9xS}>tqkj`+~8u%xA-1->iS6nvqui>r$%spSzaVNvbBKlpP#+x?12Mk53 z0OMtmt0(IEF~v#0FOw2?a63HB!g^^K{i4wCHQRtvyMi~up;BZ4kBA&!kv5H|JK9g- zh_2{&$;it#X^V$r{pz2>uejTi+wMyOgwr6T{& zO@dF?3O5g1xCCSyeg@Ycxh=kt?6aoI^ix}J5lX+>_U#crK&od&I%Isz^`;~%h!aoJ_)9Rt)-5<)n4GDj)UaRK)u(SH#?0%Q6}E{kZ4I_9Nr3W)j7?+QaFT znSnN2U67~&1X>iZZWQPTRC<1bo*M`tQ$jB%VJlL|_cSGn(>(`}z&nv9N0ZNWe|5-o z0kM+~OIPuVddyNz0tYzscJoeUfkUYxZsw3!%2jeV*X_aJsKiniGMaX^%4W*EGHEbp zM98w@U{>Z~PlsbYZu1_ONqbBSrg8-?cs@cd z(7m*CCeT9zLak^sMw$&c;FP_igf*@ITBWzg>0NoRXto^XAv`t4Ax^6@RvDae28S(Y zpZ1C)Q}`^&l$;ddPKw}oqsZ7XAicWT2YXjb4N_UWnOa%6h=&&o26Wk07v=bqO#D1< za_ln=;3RP{PVDhbiGcm7exhG-EuzwgMs#W)@;|lT1VK^$J z%kw{f`Na#`Wep*gVn`)SzM8MKC7x%E?KDlvzS?wdCk$rbGNH51G@XnVP<4sQGGUi# z#pB#30+u3ElOfeoe<-1m&m{7_E|Iv0sN#Y_aS`5vz<6`2n{>}=PJGJ2-#8#Ud>wDDDm zq_u*P#8KiTZE58n4p)ojKFZh?lFa+tr8eb0XAU7l@q7<^=CY0}0M#TXDcTC=d*@Id zQq_$41n>fv{=Fgr&S9Mk?)!9IiEU`6J1$dZy!^Oq=N&?6_h7%SiyEjY^GHi-{rty; zKAivlySh+rOD`%rY<>A*QUa<&rLyKncpXyfd+QKfEhtv8jxB zxty1I9_>>>YQnV?bc7h<@UBwWmdDW-%`d-ly{9GWps4UBAP} z_x*hxzNh1~FO_zll(Yg7y|0Ts{N?jiY=nG~dahj%EF4&33&(@Lz975Ih!zeHt!VVZD(Tzlg*a8kmy1CXsfI~&wuoM>_ova~Aa~-OO z>ESLk^o&x1|oyk~0%Ss7AstCfAsx(ei%86m> z>HpdxdqW2z0&2^;VPvIBz8QaC?m=@j_x-kP%5?^eu!@PYQ3##c?S7n$2=7BB_%a1kFuK{r_gU|ao zZPS-~{+tGn`|L3Vx*PjbLN$>}^<4mwxU28R`UL#aWsG>w4OzNmtR_J9!@Ksq6t!tH z$l!m66Gi=}#cflfT-EkXwuup9kXCRhA0{SgNGrWQ?q`~rtFrH+(RbUH*2QpkqD+TO z(;DyN-3U61@gOCnab?AHQg%Zi9qnJvSdltgkM2Xoxi$Q%uSM_TqYmFmFowlwb3i*Hc9$<|WSmT;Jv1phy6gMZR7sjZi_KE+k(nNr{&OU6J7BjNlZgF}#2 zK{Zz_2Doz&X3?q`eh+kSw+GLFd6bkJGBTD4*qO!q2QdxJ`Em$ulIIQj7q3>h=~$Ms!&YM%X3wX7hWSQrHxl>)bkswMmD=-{ zO!7;(@R_fN%l5^}j92251(g03Zf1sgX>p1(T-OQ#??Qf0Tt?BUu;}@whC1MgxQ~g5 zF7rk(^7@uLTy+NY)%WRX(r&yDGed2aCISnCi~`XCzpxc^zynGv0h7Ue-fdgqfwfQ_ zu1st6w*)C6JgF!rjSjANm}PR0v1^jps-v9F_3mO9n)m1~`??69?@wk$D1?RbG0{>| zl}G{yW4^-!3+w)t6V@ZYG9sd2fV9I<;VC?m;VSusLN;?GY1GFnbLQ>qMcoW#QSip$h8 z-d|@`*t2PC`IBwWH3dZjvIKg zayUwDd8*ij9YoC+O?8JIYWuyP5|^2uIOwozpE${kTF6(dOqHMu%_{Y3yHTDb)^v)H z1=zt=ItCu6;$&_@uAaZ20B!z|u}7UjvyuMZVSee{r8T@S8r+D(v3bsE#UFR1*_Z3x zC^x1x*CzV1Oq-g{!Mx4j5=vWq*Tv7@l0Kde9sk>RqS?(#-w+HPe%k;|{l&-)dJ^!^ zaA2nWLv9@OBSHd4o?h;GtqsPBwkVR2Pg^9T#jHzd0pHzSOlARqz^gc>_UYJ+HdVY_ z&Q3*t(4Ns&5*ehTZ*jgM$l+<3?x0yJPdPd#H+o4cyiCfYTGo6E4~m+n5`0TdJXy`d zk@5zV$JYl6<-s$qrtSWbw!~cw3{$r14>4X*c-_&I$&Jpbld%G|-~H0WJxAi*r(Qa} ztuMx|wvY4u^QU~TLt81_eZ2+gK#}cfM*y^Q6gGVtAky4*7FI|$x3AGbm*?q{R1L&h z*n#UBj!Tv@M@eh-uC1uWaPR;Gjuny2zz71o)g^FRVuu9>sE^@-2060fX^?=7&9bRz z!*$FB9jmr)0|jACi?7BD4w&R@FR+1Dx_~!~WopZ|%AY?yf`A}Em^eucss3i5l<)?c@6B=m(4DT{uJ)NlF495g%S7a6{{CcuB;crH2|Ax_HRwOyD zMFgnaUS)ydV>QruxOKqB(koy)u6Clk{(sam^S0pklLE3ck}_)i&!c|T zuYmr5$p@Esc_veJ6N82|p?M0My?*|2GW>fF*SFyZOr>r`A)Z)55O^J-r7kzn+3*K# zmya>xMdEg&*cb3AwV_=?BRj59Gkl?OggQwl>oiYD!J=-f568_$-^J~E znSw-5eSo^u+qN;*4HuSX#k#E;NMo8%$5^jO;ok4X{SKwaS&=X%I(-w18!COeO*3FQ z*C-LWaVXMK=M4M98tETnQ47HDNU9l$Thq6Iac5i(lCYnXgq<|>jD2&|L2#7Aw?uj; zT>+;=8i+zKEOBc~5HNWdWCS zUx|$K6lO&R9*AtI#3;Js$#fa7Wc*>eYQDux$uJ{H(G5>V7*rnZ2~LH*Gzfj8YBSx9AMTUE!cY96J+S^#6rm>2#Vp8Ap@SDh7te%$nh6 zJ(9^2eXw1k+3VF{R$=jFnU0bxcpt>Lty%Gikb#v^NU8S(t@wGP;zu3g14jf`aEs>c_KXn*FIL6rw4S%L;dJT&km#Y%pyCCHSmdfIE;YLwM#dje7y zKy4f{a2pUOuSDus&Qf7^mL=kvHtf!b8?qQ+N2<29DBP6LVgFSJuT=#HwVdlprpj5M z0Br&OX`69y3CIyeFx(E4`om7Pc=T+`C9~ckNCO~T0C~j|!nCH4)U_WX0gRL;NKvIH zjg;Vg4X#3om+rcv6D~$0olMs|LdiroAZ#g>&e($O2W;3E{UI{pu}kgEaS6*Zr&Yy+ zg@7msC%fwCJO(q9u$6CHJoGaUOovac&hzrncgMc0I`B8o z=N@ry^hgmO890kO0|8xiqx@gvycbFHy~t8Bk0FkU<=!cdnZRXQ?BSD!Ajf^$i^L^H z-^=IUJQpRngAyj9)z~qi9JjxYSC}E&6c>SAeF0_5ymuCS>}kS!;6FS(}rSCmX( zXNcS3E8MO>_JWi2Sn__we4?;y-ls3vxlv_EX)UtU7IJde}D$LDhKkJ6h zg=&-KGwt?0NV6t=D1%a-6y++0oJFcd1-t>=ILAB8%Gp|4GEXD+5#_Dq-P?@X5~N2o z|4T1kq=&2q>{?M8aaQpw1RLt0z-1IJ`~j39Jj3ktyH&i*Q+1Q^5bMXbPstZO-Cvqz zxP#zV+zUm3b2V|B2IqGCYMT+Z9?dpJk+OV=WxqlP*Z-5WR@4hNeMxL{ zVjx9M5<9M3yBT2Tm3%IEH9-Pk=>xcUsfBEfhHC_l2zEH_zx5^MCU_YD)0V9k$?+a&)<%A0hB$oP z3Hg%H6BZ_Up9;-|sR;~mMRt^e^KjgS|j2MaG03_7mWVG*S_-$FJ3Uh2&qB3a8g#~K7Pp5 zAI*_pS6OF}iB}u&?ZC|$K*q=#)82mcci(>en{Pk<jop;B<(8(DQ~ z+pFIW#kq@+r2Y6C|KbOK`j_AS{kPxvgSX%KZ{B|6Zv#SP!+TsTzy zfABZ{#UK9OU;ftb{IehZHkmN(rfhLHPmQ!O9C00Qv$Obr`QzXHXFvK8we&B)`$^w$ zgQ^47Awx8RULy3m>w&X~h$VPv{U4xWAOAi&fGV~*#Z_C!)Zs5dnX96Zj6(G>Ed;bm zM)>c%{rK14e*8Ze2e`Q>>Ap{8Eo`LvTWIe${@|bgolo9=R$I8%oP2B_6^$HOVG^iamx$*Jl9{?{s+Ti8~`xFGXZICmorEx1(^#g{6J7J;8;p} zC6^H`LVHw(Yb50ga8kSqZx=F5DWzaL`#_LAIfg+B2^OY1D#YttFp3loCabn-ZkKeC zT#EA+9yRKrC55WYnZ*pnxeM1C6&LW!`+k)G02puYLomZIoFG3Ald?eCV$muF+0%D< zTH`*1D_}+3vj2pp5tY6%#xUjp(KGTkPoKYQw0r!l$ttQ57h$a9yyZ7JHa(5!Ppfpv z4pUXNd;XODdp6IXHu8LQeE!axhv!cX^$YeF)8vqU)fb`hiW0vvkkh6AUeR&qSz1mfq2B-CPw5zfQ2Jf|=L?g( zhBFfPqO_Nb7$hReuNWpLlwZA2BYQ^w5cm8iAsOLf@jp%w@~sdO2RG6HC$H)> z{-4Vg*6Qc)GJ_wTXAjTcsc8H_;Wm>V|Fbo~kd)aQ?holh)R3EFb2cZ`{%e{|63W3m zqIUp9qAhIX!`$601aia0j?j0#doCv(Iw>1;#_Ep64l(e}fOU=Miw3Z<2y&{x{k(nt zblpDx5K}I$>f`hGo`0Ab0xX_)VS>1m@BtOTaq#@Y$Wd$zsk?iKkIz5Yfi#NbvA zh<6pV4N~b#34ov*xn@M#PUuNC*LeOx9j|F=Rj96pn*jcek(-Vj zj43w#q!Iypa@&CukhH)NX&#w&)a>VPRlDl>6FToTekkF-b{JRfcH1w(pTiX3Gge5c~lj+*|-(p=QmHzRhb|Kj;Z9R71i7`Z4K>cVOq* zu4nt`oj@c|7E&n7y4L>HFWzE#n^Lt6I2lJ=WR`ENK-XMggJjJCAxe)rQ`lL6xg(=b z;s6ytkZ7lFWO~tvh|G3oX{vIesUpR9UX+DcXx|^vkU6G7D$R`4%&;8G+?m?vQfK<){OkS7nwf60}g*r~vX*G7XV<;W>6_ z0?zwP2zJ4S*XT^YXwS8Sg-D0cBp&jV+2NUF>mhB<^iVVzs13aY=Pbbk!*_V5!*Y8H zK^QLyoYPPnM%5+bg%mVUx&s_6i}MSCv~ByI?`hG1|I3$M%dCR@Z~fVu+k zK%ArIFjTw`oYQ_)w->Y%YDroYCw<%IaG<`B_*Hg}w>3pQjzA)bFd8R85Ir*-Jb(Ki z|2?=GuTn&t8qKMKht4=PS+7Q*DJ)?I#Ag@5Wfd>CWF`*NlAcNCw+5FaY^3qiQ(0t` zaxY(7ugO}WW}8$$cmk77{KkL_VhkWSl_EgxBGTX<6QDT81$;noSW`oCI*7}@L?0P+ z>U^^2SYpOZ=8y4AOU`Lsja?;{)Q~0@)b>IDc<5-I2h?`8BHLv^8bhEm8sVUg@@=G5 z*^b(9#O8EJa{~@ioAX#$l+;&(;5o^<_?ng(9IcXU+I>LkfLB-=@96Z>(!KB-3^I%+ z1a0UX!>SNZ4Nv0`?Z>!bpO3L@O3b*}67ohz8(2y3J;RvSTZTbYX>AwY?j#f}ALjCPgaC@ z1Rh%E0Gd>{KD1!#Ta!Ag{q-;Pu0+skYJ)6b#fV4t8Q!#NgXar}sa^RYCslWTputA)FEsKn z0tQP6$P^0@p=O{xcdmKeS`pX;xM9-X174(hYruwx3-(y*dAG@MHuwc=Ro0LEGM230 zh-LP`R2C9%jh(BCNiSsYDcd*z%8U+&l^ma!5*Y22Z|x*0J36Uh4V~3o4mu#=hF{Q( z$Z$1F|E3kYHIX(AfYi{fmkf-V#Vh?70vi>27ga6ZGvZr;I`WNn1UD!t%$q9=(DIf+ z_6RAaj2{6U$5cF)x{Ur@Mp(?+$5KEzQ^JOS|A>9-~y+f_MEg~|P(8A9wIhqReKL@n z$O6xm*`){Jw4p9(5pmD1KwVNtl8!oNWdOp*r6mjq<*tA?fX3hl4CXZJVWF9Ef+hw= zh*mks0=B0eJ5)0-2apr+UQ&ZyWr8>S+O`)ow`#-%E@7fD9%bD;f15eUVCv|k=+G~C z^3Mvkz9^To2+b}R6!bdY0fKxFdk+t*^yjW*81b?x4ZcZd#@t2J7v{p#;f=aVdLZVI_xzKoAarn9lYXNW%c6+{I7vZp*IS z!E4W5(6XicJ`mD70PnO#D<3lY0Q>Gk)|JaZ+~9t7V4+jCU!lJLRjeOfUQ6KoY2a@f zgo;k3gnh^n=7Q)QXwk2*bgC2M;~ELgv!|Lr%{-&|Xs7XMk-N)F3 z*X%u{??LiiF5@muCcx(^h07@%lvc1WI0h7~i-_zPr4(7NL7z|s>TR}PwjguNSSEj} zQreu7`ggnIOE7r+qjCdjmd|OvO#A5>ou&Ux(Z|Lh3*>M5-_$q9v}jZ2dQ8|5*Vbj( z)N}%#aGMQ!R5Et%jSX2exQnEzY1#Cd>)!WwC?zAolgSntK^I&?)(ju5#pY26=@+1h zwCv~}FrMJkqrIN=cDOfN7JVwTwplFv&$a{puA#IV6s0+7k#z2a`dw(=E5C@dI9t`% zr}_d6A_gRos-5ovXJR048$UK%aOqIZ0{sqjub|2*62AN3dWBRi9?Y~>wX$qFc!yF* zxqPb16SoiDV*5fF!k87bie385qt7S@vjKK}WryS1Ahr<*QrsnIgAI-op7w+8GSPC- zj>7GWYvh?G{QC!z-n>6*OG4WgtEY546*VrO_2bGC&=X)?@G~W8Ct1D9nQ>?J1UQ8H zkP4CmRpycJrtdkdfVTf+w}XMYXVC?Ax=ySuVuN!QTqO5^7o7h2vkDfEf4-YofN<=aOkLa3XzE<+O1KtgHcAOYS#Iu{*D;}2TupUVp&4KTGICgq9IIHJiYPl^RZ za#8p2Bli3N>@drCHmDX{PA&+0q)FOHC)npY`Kk*9+-)-AmM00PCF07yn@WQwIOj14 zRSU@GP-7HLCX(By!_0@3uqzcBi)v>-HJ@Sx49PfOwhbw^ao2pGrB7j0c*>->9c~Zj znL5R!QOh8CXQD){zQKI3E>p$1@);f_oIvKpE%cgnvOZM7!)E>>LQd&q#qC`8CXb(p zDOK+c2pO&LZl9-${+ARVI)4vo^ON6MXZnW$?S5O*1Q;dz-WYsttkYPyP{AF1s2Ji3 zilQNr=lTvlowc?vpWw*!{C#k-1G6z3NmO6sR#SaF7A!T!-B!G6B$B3j{uaq<>7U}1 zX*r3}<2R%@N-l(Ri=daocEBn&f)= z1Tg4&RAc5^=2)a8za^8p;z(80>!*16{E3!UKlz=!N$G#6PXSD;-s*Uz59E_3zM@fJ z)%=$HLh&o6T3SC**X*7@El$T#RpkprSb^yHhAeCdPt4n#q|e{lAsP;U+-*2_EY~zN z%jEOxL;nbZ0(J(h@UU5FPc{DCk7}hpyH%fllw+`|78<)WrEj2esX9?kc;nE5-`yMM zudi1PSm`vNpykz;;M^(;@V!;~HY3e4t!Y|P#vMPx0fL}y+C2v-lld?eija90dWw(j z6Oib4aiOWFiXG|QasB+Qs)!E{@p!glM&f-qJ~5a+69i38ItZ$!xkjQ=Vw64o4OE$P2y;Z@@^Y@?N zB~qod0I?+NB143^eV*Z@J*m%b2@={=@bJCK)00*`fAR!owEeOhbgJDwZB})0sJVZ;fdq3|?=KM!q->vk6}={(Tv@QiOpGdX1wq~r&9 zZqGh@YT^5X-%sT}YtfYw>WDVci6AXe#6TVOP~g#d-gDc_ZCt%4WsX`Cw;L&sCOV3YDRsA)!) zCUZZuurM`tW)!)rauxGc67C_&T|5%+!cOTV)42Bi?+&WWHs_WM|M-FSna5bO)l9NX zUSTlxin{C9updqc_Lz0a4~DhHP=dBiN0Zq>8!QN9wWcYlG@7US1bX^hpU|A)nw~4J zx`YM~5xBS`t!bHYkI)ubCb32}li6q~nliG=+dX`*N?I^A=v=aGnw@Y#TXS%(>KwBp zo00(ty3Vot){F<#vbuuo_b-U-SU(sqG48g&8H@sRJ|i1eT3f~1|MRagTj>xr$7oIm zQib3;&DTY|XPmK9zer-nVQl~$_JG%~OU6RWgdu-_ev(BLw_EHPpxW~ z{A!dR<15sfV(Q+*-*mv)GAj#Hh4!!V36y$|f5O$JAjLtHRnGadXddT+slP*BmR~n>xXMiR+SE+|G)gMoB10v8qk3aJ3HUH{O z8PKkf7D!hTsf8Qif_W+XEt>VLm3&oMz+?yLAxh=ZAKfcNfJ90}@)$aFMFM=;qg8 zFc~vBU5+44ypz7km~@NH9qqq%lPNTNJ$gw^Cc zuJXFwooqvlUUPO#N#S@P)r&sP)8-nXw-OefTgSjb^A)SoM;aWUC`!+&p)nZilNwgeht+IHl&KsVcDF3AOK2)Go3O%9{K%l1IoS53q3SJkhcTW#3(sJkvJ{qh%HynyG2(Iq=; z^>QB|F0PvAQ289J9493mOmJMO*-H=+nCz~{-h`S5mhj%ClKC9jJ(FDkRZ>SK^$dS5 zsjy2kXF#9SHzH$++sM46Q-2A`J;bhT1O|;m7P3QVowrtRPJ26q_-rkuhLpf zkaJOCahBvh?UQ1?&Q@5p&KV|l@O08U`f^OMAXG}PN#Z~yW@cP49absgl)&AQfq^m{ zqzxtQ@BM;uDgcWOu8wMhZA1cwp65BWR1-sz7#0WbwP zK_vh98r(v%eZ4%XaAwZN4^Sp@&4*OhteyY@W=?Q>cRD=>6 zb_uEyPWTu>H37IKe)l!MDaZQ*2l>idkNW1ZO5e~oBF^hSEkXCJa!mVJ3jJ?6ToucO z_iaS_uBv#=;p(JeQ{pAin{X+0AY-&@vl<_!*!r59N#{X=n&JXOxPq2t+;EIZQlWvh zjw{Lv7A)dVYQ2b$cwnM~65glq`axeIXlX*9&SATx5=9&+<3(D#LmaQce0sFmxCSny zlpsp)Yl>6Hl1L>LVH0Qyty29dVK?wvOn`z&y0LuWs2H6|?%){k06=#VO>|>f_)7DgfJ*BfF${<&V;ml{<8iKcvNmb1)K;$`Ouo z;553v!H1I!KA%hOTn-5-u%k(ikdG(t>TVB*z;TwqREJdDXs97=qxNwre zRtJ?L@{Wf<#Bu^V_9TnT=aqe}A+BCFlS~|ZhLg)BlYM`P0Rti65sY2Kctzt};`?s| zKA&OUxh%#csk#Hqai$r<>*tt?A>l01D9hjaCFSbLglcvF7Q+5W>iFW{WmY2SNBkk< zd{vL4AQ;l1?njJY;U40X;`KIY1Iw07LDhvH;I>pHCMB-GjYcUhlPp_JUZ@0h`NjaQ z{u-Qm1W3p`oC%mK`WWO~V-)$wZE)@h?4-;4rMXChU`fkhjT#><>>ROm`q z-@7b>8r_S4zh6z8c9n?>CKmu_ZLT060SS*-KZJV(*f89YA>R%9Vwe$EDqVBMPm*PK zQ+o;0xO%i?vx;|BSJ81@2DIR9;GF&?7I{&haE~lS*za3}Xl7lySNgi;Q%`t{2c>l> zfPu@<@eE})TguF!FxG+jS1N|pCZ0llzn}2(kzULxpIOe=bZ)`_g3}Bn_qlm`pZ}Hu zxE&n;IDFBuVRriFs$JGb!~uPeRki`FgJ=ye^)AUvy#vB$Os?5Ee^GxyX!v4Pb+1nR zF8GXN&ANT{y{9~Dhu1`pXS{6k!*DVZ^z{~(=#$C@^J|~+UZF{3MFM{~LDR6`Z}GDR z#$wMqaD|O&Qi{})y5fLCAnr#DurVCA#IRT|JJfdtEXy4*w}Z^|N~GrWSDLQMq z|L=Ah!Z-wTWRxNr8t%|=|5q4U61&SJb`09VyCl4$Q8oZqOrGvthT*Q0Gc_;ekt4zu z?E=6noX76+bk^Dd)(Qs06vz((;B*;=$Hb1!JBz{aEIO{)!UF`0$sr6~mM);6 zZn*$yMJNZE=Bv~F8{JvVG zBl1Kfy%a#`dHf`Wu{J`7ugj?2k;)fz`QT2T7K&h^r!26u$jH@R={mZ2$xb5+3 zN9wm{1&cu6?Zv$jq?`o^^Pi zRm>5{X7$p1oG4zx4hSmE4%%?JXb8LPM&A-gjvR*(!v#PF<3GVCW~Whd>Jt>&Jkm-6X#o? zgEKZ;z-Pl9XGtpCxqdzk>uV>_{`oKc48S)1>%6TlyvcxgBGnM&533zEM_{ysWQ~l0 zQ$}g^yN7#hxF4LwIUVz;PWyAU655=hKoc*6=_-r!`?2V0z8T@J&<&_7o~dXu>_!5| zX=lXw-AgbK&IAPSX5*)+XG8{uyvXAzbBmX{Y*`{$;HKQ!EHlC*d0}`&Oz<(~=ZUdg zYbI9wG@hRLHHkd4i(L zm`))etsI8vVww@o4=@5_8 z&h?$&PlKM@d%pL)`N?x;1m^}!qzB!*4kG)eGknq`!<1Z88UgPET|Ecy&`Y?Rr2hAY zMMQm7=qxEullf`Q*P4^gbcbz9mywZhN{q_^Wb}kV$KVaKuerFqLa66q7}q%h2{-yu z7gk)|#mCz3bv~@etY*eMu?e=!CZ!(S29PY1tHkpg-rP-*Jf+OsZyn%VPG_BqkYR-* zhz)Yjd_&}s+!WJ?O@4nT~gKz35`o_3ZRUX$w2UJj~iMod!5 z%HdQXjcD04@gv!yX(4Q9CO3Mf9Fb-N_lJ!)kw)6ZS(-DKPgvB)*RQH(en=}O>ft~} zvb@Y{7qGC+WeP?;5+%zbGwl>64xzb#F_8wJ@^JAwkmp`|q;;9y?cvqK{nMuSIhbwkiEJ=#SB5$RuwoPBb3-q~WOm*$w-Z+%Ja zR+B3X_7=FL=?8(Tag4HljC0bo*xJ4~T*m{<4Bt{nKEKQ7s(h|o z>cq$AZ;_hX=Y*-~3q+L485+XONGB?pU7VM%2T5^ESX)v#$O{6{s|ydwN($FyUU{csIxj?X>35dO9z=nqZa`Fa8|cop9=vurt2}fdItr(0 zm(B4(1JBw1!(V*yLX9Y$IqLP)s83bAYU|W!8w8KXIawGdt&E#p4CLf=2axET2Jqq& zzS>%^LE3|G$@ru`CnafDvr;U7-|ZP38khg;{r%4*x-Rn?@O!EJtzyNB1nd1B-~LSH zO7P2Lj1f_Jn>yW;?!K2YWl}7%&KCjs+9Zpo` zqw24(oWIuYXwOYovA$p4>vv^Q(mLJ57(YY6A8N#3Z|Xr$pGE&XQv8*xck8d8L&dcJ z{7W4?3L+^Os6ruQq#bq){6Yk5g!YRSljI6m4Pr{Rv2l8;Jd+VRO?ghcnaq|{KAlQe zQqdQ*rx}*Kblnu@`64Y;$>iH1lt-7+Q7I#pvPl_5$F?RCoru##<~!1<)<#xWa@ACm zBuMd_!<&p_yu!Ip`zst6th%SF5zH>AQqc;k!R|T}V+AwPV?*y9V0CmAjWN~$y{Sly{zDzhPobDG28K|RXt#&*Ok(< zO=B{Ey!WItD&4qF<7YxJ?J$t(%MlW@`OU3jCHgk&8eCo?P&jwL`!mdnZ;3s&rn=kM@!Lf=SXc^N% z$kRJsfswUcHz%Iks!ee2?xd@Gz9qb%M&i$Eawoh*Seeg2-EmFBx=iD4(Vxczdq&U+ zmpklL4(?u{tk2HnTg#JgU?&^Qd5WETyelx?lX6Tp%!xVfhnrbnoYfciUwrw-6J*Z; zboHje?;yJ1`Iv7o6W2L|tc7eJ!_TNH9|2|%CrO?%+^H4WVI)4H;^Jc)o(s}c^J=AgxUX7yy$g6ZLg-V=t7T4i<`BNLXcjK8A=7f$l6y_M7r}-VmS1@Y=Gl$*0 zIM0uiJFK|>h`0{^Yv!UtU|dTcf+mZX2--U2FMMRyBF|RxY-`4`>~;k`CmIR# z4d2#+ZcPA*a`sA$8*_CAx~>NX-Jwud3%b=Yf2q*V8brr+LoBBHKvH1%o)&Zq!wzQq z&*A<%rd9TYkJae%9fF8*&!W0zVMntUZdcZ;@7kR#ub1_ok;Z)}Yjz(KeH-D)d>xA* zgNjZizE6NJ5jLj;__eDPd}L}bvWz@~$`mI?WcUUgfi3p?v^3jT@ufZUv_1b}NeMjh zL}jG;P;(4g)cZpQ+GLkO<}F`HM>H1}Cj)8jpTE!0YZ1I!1$sV!f2e0PWL(3+GgA2U zG_#N&ZVa0iw)*oAI2ZoM-k|^p1>GanCp(sU-hRDR^>P^BAKn~590bHS8`%g;*e|($ z@MrY|rO1E_HErfpJ5nIpB@KGS6>zy(Mxcei@ZyC)JL+rFaPpI}Ix#I`1wQ$*ZQw}2 z`wMUqgnhYqNChp6W1e9K)!-{h+7%OQy?MikC72{&eD>f9m4R{(mks)zyYTXR1umoa zvJ6Gow`%dm-VDS9IOV{Om{tOV&&Y%a*2E>4`xqMj!p+|$Q@##Jj+x# ziwQy2)`BXUN4~TBzAW1o?T5 z=hkeE0`*1~saP(}9?X6_y7oqK(ft-F#J%4*3;Lg4ym&Fj!>O573TM6i3w#p(#r6#N z50IX+YRO^)SCgjjH}ruBA);ZpyhtMrhha8NI=>KVfYZ;`dW4w~kd4jfQvi1^N^{u6 z6wElL@a!DT|)Q6e7NX?;{2F_O+njHdyprF*G zms8plBeJb%{;+q=%?uz4G?Ocv7jqOsJq}&<1EZ^YV=@KZ28y!JOuk64)=T~F&@#>*#Bm7Vdx%3;i8hsR--ou?anPCI{_A(!6n;=;xf8hoqQ(Z1AanBM zrLc=&KBQGyUx9vrMBnFV-Rq5&uwBxt0JpKDIa6|DcSV{i2{wmjU2UJ7;=nax$E%dX zsr9>6Dd2dttsdeH$;wF9YwFKU3h3?qGHwj}U2PRbqbc{)N4R?(^<4!_vVw-5weselJF*&8#Z^Tu_IF-AS4imJ90k*j=%&AT*{C@`Hqp;mCcHb_t$z-w%Bi0V0wS|+!lHyaHQZuJ5Ff- zkP7qKLxpJsHf_Pp-IB?jWfyY(uP^;jz2=7wiuf_v?gfJU?a1Kaykrb%HRoN^b~;_HGwFqywT6n>9V>W|V6JmS zt%yZ8`bbkz1;Dg6X!-8}wX&q0g{B((O0W+#pkHUy9bqhb$<~ac4MXI+{2*RLJQQH+ zade*yUc>zHkxVezZSbOF4*wlg!ycfxJgyq42zyX8S7ilksGa|{)#tPIboyYavv^cA zJI0{*Et1@@Cv{{em`gc`@n7QPe0km`yQ&^|8?MiN=H8O!1N0SgQ~)$rDBWjyR_cHW zr48XpJkhR8VESso>=_L}O?`DIo_|5JCHQ zsM2-zhUV8A|Du z_%r(QUR&oaeXGRCA4auSzxAT{PY9FG_nox8i0i(-*Q78dPW~{eRjz*R<#pw&&!_Uv z)mze+ojCs8sFs!d)(gX5kj0-)MX4|EwX94!LHO0EGXA%hLVrL=#$<708S>S=_Q@~5 zctPhWUN9xdxBG)>Zv+c^fcK1$MO@q9*B&t%Zv?z^$Xy@rdMmQAa0h^(xfnFqbgY7* zG)a179;iJ#@J9hPwl`LJxiRbn$HH!k&|a2p=*%6W(=n+>SDd?_O%ran)~f zI?-vniNWZueC}ymB6}juis5z1ToFDl2|U^k>WqxEQIq-kY~NOgE$H2gG|P3oOdc?V z16ZCpsS$1peCRMoA`1{heItjY~U0u<1O3#Pal4r%WL;LgdjH9IoYRbYYZ$0eR;2E+009_*b+ zthoXr%|Q$umNnx1nz8WrS~I;z&TI>O4R9eI!{;*E$N>y(P5u6>=j`z_+k!v?y_4VX zabyJS((&5QWBAwMFn`31HpV_g7ZO7a6kP%It_{}F7n`wX&_i!VxNU0=ZW|4<<7yn> z<*ptTFxoohfo`r}ZBuhRpkp*Gs9&fOEO36McJI}5axBdOg$2#YN5&PMO#N;VDW8rx z364g}ER$gt2r5}-yY!1sB9Y(iB;x{Tgd;#pkrq~D(7|U<2Po72Ty{@$OvM?Cb& zHQD>lJ=V~jIjN!czx?asW~kq-fTms+r+Wk7=EB}UDrky$c)cJ+L7ugY3BN;*_}6%o z^241R@a##4=syh?)cT#{Hi{ZS$oFa;9vM1JDS!roagutMwSh-Q%h&Vg@9=jU?rJI{ z!F4k!*YQIFs^g}sPzu_vz|`+tr%LWs2qII8GEUtPg6W`M<844Hv>W|Z zKV~%zlJr_t=4(Aa)%EF88rg(y1ZjW;-s+Frk{urPWr~eMnR7h7_{2i08ap&uB~^?h zaZ&3S?+@cblDt80cnX2U zl~z(LZlK$254LJha352y`5|o^{SJidS$f}zR;-wLyQ0BNV4GePKTBS3M zq?zgQ%v2*IEN=|NmS7~fRq$(PeCh4`O{tLPs>gFR;TJ11VQE4ltdqng8CW3T-AvPT zUACP><#wlo1fnz^fe*5Z>5r2hKMEIL2t;6>sjPg_%1*%~zfFsE+9IA{I7dlpl41Ls zs~>Jfc#^6HBtjQL`IvQm-4_HU~(_Yf&{@pfoTKY;YLxGq7>2%ShnkWZYV)w!Yd2>F?Gh^;#BLNx~Zeep*^8_5=g#t(h{>8 zDodU=PtaI^g`#&`N}4^5w~|}4m02L~0$z)oDm&C5C>Z|s?%fCq9f@$&o_?reEMclU zt3c1+&r7Zx&euJnu-|hu0OCSoc{RrH9><;J0dsHqXD5(7oUz#Fst95ZUOW2~s$>jz zbn0iGSu-DXT?Y}_*IRBtMJn^trDWW~^Rj8m7Id+6USsanm>YCVT>DtndQ+tv{b>VG zEn1Qn!g1lvtA*6IwpKr{9y@SS=zZa70IMda76}*gU1*AC+2Cj`f$v_k-bs9*D$`T;SW7YyH-iBrw|hpd7kcZgTx~OKQ2ZQZWQPpZ5+rRwcMMu$O^f!y_2AWgJcPY9K4u5pckzE3Z zWPWp|u8>dRCxFi}0aA&|+2gS;-Q~dcDt5YN8K5tVn{EGeAs&u>EQJ_dWZ-V8$_eZ+ z^EIt{#F~Pv+cDe)!#+9urWCTn4UZ?@#U4}GLuoH9ye`dOFgvs((o7>-AXdxM9D{jo zG0|{t$R9=dXpEvgt_tOAAZHN@c%5Y~U}gh*>(H_noNStaRjSX#GWIQrfmAc-su|fK zqJiNq%??kri6m>hZ9WbpMz6GMxnU`%4t>d5L$IJRz; zPA?6ao$7LxSj_CsLg9~WE+XII#?oKQ6xM#6CAgFwTtli`!dZ#_!k?@Z-w8yZgNN;A z(_Y*LUJ<00oYM)iJy!&|2F_o72_y94=I@FyYdECQ!o*7R;gtCy!o_5hp{=v6W%f;P z|7N9nB$bvIuit?B(u*9!vEiY)W-7Tg98R(S4X@~~NV4Jg&FeOVq=5DXAMY{^sQWgg zM2;`$u1IlMN~omxp3GY-qz#21n|Uo9^0upzx_-POEo9tdURxn8gTVAeTx6stL@Z^A zc>j$q{%+RHS2YW5n?>2C(NEekTTv_39iM$6D;jh+Jrp~Dt5Ev zht?vQ_+48X(*Y>HDN|?_bl{DXikwz7@84uf9ifvjHkSM{o~_~ze_dfj+Wz~?K(oMx zAdWP2syXKSXI{m7iL37b(HRd}1HQtUqUD`Z5T#$A!Ral9DCvC>8B4OI%Y*)5&4zr# z&nNzt^w<4EPb1N%`jN2%0q~Eh(23eVQAe|MBO4@%bN8-oN1A{%k;- zs>8o)S;fioC#0197Cv z>Z~Y1Vf&Tj8xyPN`k`Q7<3aRn=pHs$PCrN)yv*FMC><=!5{Z~mJ%kS05vG%R=en2M=KXZ}>d*HW`k!ZJvUL#AZ z|3<*qx`=by6WCdk3bIJa`+zo&Y`vy)oorGGLZ`AwqYply1L}bZWx%jBD2OpICJ31- z8Ov=8oY!Du_l#9rHRpH0B;A)Q*tV;#wnL=9VN$M!PqwK~737}Sw6Rp%Ayvu!fDWvr zY&SY%l~lJS4-&Fm&tG`f2W03`*B(mdC1lAinOxBaWM}cc%%cp!S1a?JBx_G-~#HzHI$+85ZKc;_6gB%F7+F#gBV`G$HufaSUB~b zN4-Z182~5%D8M|lw>xl@bW%sMKo~Otz9S_bRz}@r&)_Vol#}iPcPq_YTuL3l`#r7F zq|e4_r*%?LBaG5fFHe(7g)^0sgwr~?2E*;A?3`auMsczThAF4@@jw7aK)An_2lvrz zvJ5T_BAV*O+LgnrII+he;Ko zM0GdMBJTqjR;zSH_6By!vbbI4VajQZBl!RCsX=NVt0&80x}?U5C(`Jkf+sqe17sQ0 z7uB+-Jvm4^m1F_k>Y!I8hsxb<-Z>#l3C)G+en5I>!@WA%`mAUX`5(aI!hKJM*M?&@ zSrXP{0uED7rjAVuV#xu;c<#Me>NBH#penToI&A7XmA#Ye967Xg;!&0UPLI6lWwcTA zzG=H`YIU%mlg^l+m=04;`_%6sg_a-+pDY(^77dkCP8%J_!6Z&8lj`_0Cz$eHnbamU zn4S+Wf=jX{raRnZ5XNaIvPd`Mc9U6!A-^qYn3CoA!6LGFzUbAqWuzTiXZFIRzISXg zs2D_MdRkx3!$HDn{eV`GlC3v)VqflfnB@6#B`4`x z0A%=;i{sX2wnxAU0CcCx4u|YQBXB~zC&w$$3G=hWO|4**w9|*M-Ll@YOu@L>DMS$+ z=}y!W)2>TqIUWk1^usXaq$kJ}f%n{Fy1YK2RFG{hN`ARw+ zR7*?E9)&bDnP)N!?78W-RbXJ4Yysr=&&H1sed8NPew>FpEt-8}KNG_!*riSbc?$%#tm(p_b(djE6{YS5Q6S3TQ0#LO+n)NPn=i^BFz3VrZ?)UE zH=0Sp>%Q^jT%p)tR|Z%3Mui2mo&LR~6udbU2KJT#Bq;}_oUhAUEjUYhwJ^W`1Ky%Z ztj7uR^a@ZIWrLFIlLe0a+VnV;D|BSWgDT)g*t1o3f@w*RZMF`G?XNWEP zM?4&@R{9QtU)Ou_9O+xaAULdSdk(lZ3JexPM_HVBJ9Vn$WLA#LLqYG!p3|7gxiAFIop;C;S=yn{N@3+D`kySNudKAoniR*q zyi7Nn@$s&Ic@W_-PYNOO=>xhvj%V~(-3tcHRfUnHfwn?*)5knZ2bsZ4CV6yhUjNGT z@R`xz)z?IwyG%%EN7io{zA<|2c|Fg5V?W4g0a62W{0tSHQ)yyqC?VXa6TPQlnPt&_C|15RYdHeWs=Rv&_Xa`Nr_O z_&GLpI+-&^Rn`69sU;D-ugG?I&LF`J=Llbl2tQF8@8f%2bUig^NRESChHv@5DT9!^)_gs@u^$N{~Ltq+z&r{`MEx?9off)PWlx>j4R z3^%SJNkd+vGLI7aYi|f{EZSi-SF^;T51273N?d#2{ z@4BllowmmAcy)uMJuc7UfBUf_(Z}HIM8c{a&zl92yAO^>2c{2%w!!gGPJ*uMlV003 zQPQ!ym_}7Qp2V#u?gx7eQI8(z2<15b2cyyZ5OUW~U=Yn@nLuwh(%5(wF7(<`8~SE> zS0U}LmjrVeLx8>ONCO-%p;zY+4(@9eV-s4BO3d3c#Gf-}o!#ODjKk32b~n(*gzilU zx)V5zXqiYFqU!?{v`lW}>k|g2hu$O%-3?qE9;b5tTSg4isqvhPyORbD>r*z}zYL(s z;>Z^|KGrp`Q}U7qs$?L5&@Y$E8w`_KhSIoIrB9bH&GlOP5j5lrsy4}VNVyljRf4IJ zB)liKqH7*>L3^4Ad%KZ$%b#U&Z2y-*G68S7Q@*ca1!W?u#f%v+OBRQJ`rSLVEYpr_ zguu6C;_BbG>%%dvc)?V{3eDBDgaHNh*!vxo#Ri$HEv#Vz76~ye51RUO{6b9q`pk3V zH%f1$H|G7P^4z}0iD0#+IaJg=Ufoil(OhVEGOs8}y zm9tR0)4L-1oD*dsaXq!fuU=YfC-5n+bdBm%3(oe^pTJWDJNU=kNNzS zLA+N_A%+#k=F zbo0;b+t;fd_T8&!_&>1TSx$pfU`9V;kmX#Z7n}N%AKCReXH)iRA^-8ud-W2=9bFTi z<@K=UOYwI6;)-o|bt@j5=&%1j)l1GOf*;R=oP8`Ray@jy?cJtLx-&n=FYKqZ5%8lT zqv67%4Ni^np-m8|lII&KeLK`vFanp(fIu&`#m3U>7KwpmaOkdPP*pYwgG@6%FJV%3 z7x_>AwoiGvF-xY`;rh`Jt^(>Wfl}n|$TRezazJyQ^S}P1yMxr1NtCx)!LAMxe#BNh zj+FaDMruPui|%AY`SO+NQi)dM+R~rH=Srf)3z7OD|0$``+m-ZHbp(Uz|6!FB5^P36 zeNwA^dIaxRG#KaoufBgwBw&X@j0*Z|bs2){pzVQ>^vDn~eTYNn2GRVCQ&ABdokl$BN!`C1x)9Ly2it=PSWEAtqe^udOyQMG5jP@*+? zelqA@?zOxdz%)kz)0Q9X@%*+_jIWUXjf8SkxUp+d!$CC?q_ZHpJ}si@3C^zDl99R% zgHiRocT=em+RYPDi8sd_LnRp#2w6BcoaAQAR4Tp}HJ;5KsQ?=>prAoIN2Ykq-e78t zuKz|leO-%nx~=bvu2RhXU1~kU0?waOyT{j(5@wRsxC&HiU_%9-bi#~+dr#nAGI6vR zMcq9YIEx9a*#w^Kwut`5&g%<7V~PEc3X#crcfSb)+TRtYl$+$~<=0jIJfN4ojy-0$ zJeFEgXzz0ZueLabRj&=gDc@`gBD`#_FwG1K+|c!j3XS;W{M@6gLAgkH(ECEr{{)0P zUH#>+x~zVB`PB@g&b>cf92FZ=qpk9_gy!QT<;@s{pHkk$R~MdwuTk6>|ueo$pn~u0e2K%8Eza2p_H;i1ed1QRpfQ@{lMK54?&~#X% z^hnM}c)(fxboIHtkhfMJ28q0u6_TVa?^!Q&M@XfD&M<05ZolN5UUFHty!6QR;CN>p zh#v)7G?J9}+9;ag7n%a3@dn?=yWjY{{lp+kG|^7p(yoL=sy`{NBQ zF~t=0XCpVEFB+P#!u+Cj&n+cy`>BThs`#SC9igBi?PuAoik^@{4fQ9K@iwJg9*bX- z>D?^jsodds682Kd?js>Ix@L<{#y=*CXtqGynPUEDVfyqiim-ONnl(k6qHb*II#S&yah94nlgn@7eeDcIhmK`jrV@?u^K}Gd>mtl-89PyXBo>> zno04usY`rSmr2U8E+)CeCC2m0Ow*5*VT4vW)W!|2Ytv`&n89ZTM>9B#d4NS}`_l}& z?NE2$-fblv>Yn)Xy7$TYiidq#R@}X+_`m&6eG!wc#u3?DoPtk1<panM%b6!0~R+h=hUJ-o_OSd7+t(TvEkj0r9)IRee$4LN*)2H)Wf0DY3N9MO9) zX8kxId&hE;EwGPJNYHGFq4PfQlGzl4^#0QJok{wzPp{P3N8V&Bxh~98FO0*`_T5SP zs81gW0Q7p7u3vsrS?|5RA<;52IYQH0Lw9Kr^X_7vB=migCo*}4{*vo3o5;H2a}x9| zUotLM^Ta04&|{(U6Jr62j}~i+1BmbVUSCXNviN-#C8%yXxgnPv>@ES*^}T71p?~G* zZ69C07Ybx)8tH^%7tQylIl^fUN4HtBpuSIZwqQY#&pmL^YRXGO}x!iqktN+s=G z^@5NeFR`#Rt7Edp^Q=l4-SQ|vqN;&5If!7%_`x)1g7cLG{!6C^G#8%otk&Xi?(xun zXk0kSLkv2TM~R)+q_l>$CNqwCBHms4(KL@U%R|t69OYWg;;<8)0G6g7PxH9*R`sOJ z)Ba#iKR|bDPS@o0<~a>`zlIh#!>D@Wa(IVPT#>bcPJSz4YmWRay|E0R{ffSuS`_T8Q={_#(HrVypUvV~d7YL0}lZ3u9} zUu7OHm)8DZ{leN==^A^i;iD2(l=hel)R0h$sJqU(hC0v9U+uzqaP2kr?sZpGAFRT& z1CrNxG<5kk+uD`&i&XlhJu)T*CN_`du|=ed{ozi2f5`8DR(^k)Us#EeKW2XCA-S91 zn3Vh=Yq!?>`e>-LaBNSEV2oQZsiSpji%B^!JXZBkniB+~{Lzzk@(`Ia!_O@fR%~D9 z@atP;`ocII2%4g&?89H)P$#)lD2ZgYr`O8lG+SO39StRac5|1}Q1Wu<;_YeH)H9!P z81LG!@X(c8lcnyk>voCVceO|iRM!a{ci~O5#eKFcuZR+af~s}h z+Go^yX6K)pE2wB=>ff9;4kx!n0R;yU*j;kx#JH8FkxGyEWriD*};{ zm3m8Jrn8PMG{5JEr1_fiRV`ng5@+oTY-=92*EuPhiB?Cp2@NdHPr2!PN6k%`PD|_| zB-rhJE&clgj5-PdjZbZg9RWtu=vV68pRGe@sN;dREiF#})>Faz6qY7OEUL@cM`_cw=!Sj1 z2@ztGXS{zJMhwPdCo;oM5g>1SkG1+PcSq*yB%e3NDUmN&HkH(Yh?4 zlCs^)pC60ume2EkNX+L5$Ls(`Zdo6=`na7f9*cap-{(&+ziOHS2BUy=`;JYgxbgyp z$_HF5p+o!f=eGR2Xsee$-w9Z#>&78$x+uWZv$OiC$p^Uv7NMhi1*J?d$PDS|bQ?tM zB_rAh+&<=8v=009s(ksgs#vY)#TU`s3ztj{TlyfFu6A2*vH5JRjXF}3UxPl6@HS(DOV7|81N;H|Yb5)RZrW&s#LcEWqnR@!OOqL7OjTbB%F{DJO)TEJAjq~mA_+>J={ zgn5_~!M~a+o4VZQn;N^j>0}pc!cA-pTUC+5fp^Mv#v6L}w8+iUu3^`ZvYHL@$em#( z0G$V3{=5`-f}275n}6`umS`C8W;>&~MfaTk<;O(Ns=wP~N|xnOu|#^FlkEXE5Q#Y_ z+ho+sxNFY{n>Q!eAc1^V@!V?ldl9c_Q_O64tU(f88?Zw&&_qU<=6hA%r15vv8fE9rw1mllnFBMZB+yUIm8ejc{)BdcB}j zXxG!pKHFQoo=DJ}pTNVMno$q;53R4Sj6_$4Z`gfVjfi~66Ki-_8FvhJwex*BSZn^k z_mW_47yEC_Yn_zIKrf66ECcNRyj>ikrJOg`X5SJ1z~GBIEE6YM9Dn-mo%n`8QEa!u z9#7U`8ZG(Oc5!~izl)NA6?vJ-(&jx}l^$yAIfdo65{2RFqF+3v+}E%<=#7~;Ei#_s z2&?)p{{fkrOmZ3Cg%NaG6=l&DhP|+AUw#ceUZqbjzc#>WCi!MfC|nqP!n~#LSdqO? zk+ziz_*%imp=(l8iNr28djiX!@>Shz<+DJ3`U^5pU?VO}USaM%7G-Og1T|4At}u05 zw5Be{3%0pE0r`n!VA3iYny{$DlHGSk3BI>di(swX^^3pwJNrU0+)Qts#1h8m2>y84Z0$2LsX z#UaPExir%Zuv!)u+EEa*t1FlUrp@~0*D0Y}UVhtJ zIN&{h*X7SJo&-|-TaB9#2Z$8<^fw0?QbCD-?qKDT!K7w?u&+moMb1E?P9I)=%?2@Q z;`D5t^MdE4%#yCFl*mFobiRR`8M?WL9Z!5!k z%u8Fbcu+rVT8z1|+e`VR;cxllZL4DO-nOfB$C=Tlus`<@NIZ%SCQ?zC{ls95y^>xN ztwLLJz_GO2?uiOrtk*BUVHfTQp^p;=cCQpFr&|^E;$Py{UgQ?~V006`b`F(e#QY|W zE|>cHWVALGBNXCJ`Bt1@7AfNKjhxZJ_PH)GANzN!GpAWY^F=p{re5#pLJRn-OkRb0*&63=!Q69FJ#Z!h*{F_OIqDCEFQ9n-{f6T^$xHnmFU=A>64?;pCe&Q44Ru|?_OND(~voInLVKjKA z98*!KqDC14owdE7+wSxEFc9N-j>)e>q=k_v3P$Li9AW4Li}ye1Zq;1&#rJPLU32>u z`NCm1J$1Q##@kETSgg1(jy!L6RP1jfukY#)!$~Q$V>fX8$p!0BzgI3JjU^sCaTrW5 zSiL^qo!dI|`ryJkNIXB8Ua&6vY$L%gOjEr$S5in=>aG`0?^vTgPkJiFnBAo1x~_&i z=!z(EXIHFa?a1z=G$HHS@)Of4PpjuSUXaYLSeI`Omlv2v6=&%N^Gnv~?S2$@1N5WM z3#|Dyt3TwtbFM?q$UIHCo;SZ{b*6QlUkvzxxfl1G#G75S#(kz&PQ$+T435B|Grwl_ zKRx0!vXThr&42jL#NcPelZ20AP2zM&U!rZ#_(L^OZ#E1haEbX&KPfwHOFKT1hQ>1A z^J@XC^3B)L&DVtQ=gp^l?YKAJ2mC(lzjtoFClolZzFzyDQ0U~z9OPT?9l>laHy`*S zYNd<+5z2w#kBlfJVogESPAcB&Ik)}Z;9G1;6Dx~z4qZIxkY8`PLO<9gyOefKLDz@p z6kB9!JS#OeY+Y(F5*^G%>vLkCiZjg$R z7SLf@2Y*(Fw0(w|u&TG|y6rQO5{Jn2>8>Qr?>Xnaq6XBqvT4!P2PG z7X{44X2E%PR6&*}}X+$hp30)3|0W zE1H+J!_vB>W8Vl`PtJaYDcBc;3ZPC$@2ud-3D|2kQa}{*dArr<;(XqX(rD_I&=c*5=*Q6ng^nM7?$-pC7PM3>|$Q*A72%V z5yXC7e~s;g5xxDaF<_zXn#TV)6p&9|^Hr)a#HQCv@~=Y`UUkLdU&ZPc`ZGQHtziIc zNzX>Oo1OrZ;q(QLLz+(bH-)q!U7rZLBS0|gl2L^t6V7XSaCqa&UXy9;2otb2InQ-< zo5#H^hdu-XXwyna_8G=(^;WU|ovM=dOhgoKW{t12k~2+NecC(u)=+MkYD4x!v$x&x zDDMW_LDH(ra8hVb6Cu1T`i%Z%FU^yB^P~n-@Sux4g|I**n_!=Erj%*dUYG0LsrD>?XbX(Q z3MT1wUT0P|s=~ak%|lIO@{)sCQCR7!F8!oU#g7L-BJ~vly8p2 zbh^s#PC84PeVrc$>=t$hP6^xFHV@+@tv986wp`RlCbxEYe&)%1j3(-f`(sNw9YU_M z{x5&{?p;I3aeAX2o8qH=tcieBw}o>0@~%Yqh>mg%NVS#8<59&;NS8!(%(|n);Z3LindYc)k8~smF48 zz1z*zDr^aCIcP>|{O;Rm@QD~>QpY38XSKa2O8^yJbf7*ApBYmgx^=>LnnK z+HHQJ^TJXumV>_8V>vDwbHHffPkFgyL7#4GoOppL*CV!kUvAQS%8rE+vEruC@T$orKygP$vBrc$2MY#C9NsCCMeuE?Rq!{7hhyZ}=L~ET zYv37+jwUhc!&R%yEO852n&v*zJC3NWImXtR)#V%O-nvOs+Vb0)m)8rPdw?{=j%`o7tarN?nSbh?%n5-@*&n_c#PL&F-sKk<^QRp!mB zgYx$I#i*0O4IPa+WnrWGa$T~K6Dmc60(73ccNR70`LwvJwdDv3OM2ubVBeoHJ&?4} zNRjkSp`HnxkP_9;{hrcvZ&%iA>P-_9U?o4c#Zb5(^IlvEj~D)^!rWl8u49>7fBf4_ZCz{5?i@PIW>($k63*mX1+%eyZ~er?Vt*kNjT;X* zdA_~va8Sm!qlhhaQ|!~{&T6}DaY+w7WQ4*F$YUU^qX`qGk4e7c)~^r?C-ilZ?hC6; z_i14~3PS-CaH2^zy5yC+LJPfg4WAsI^QPNNd65CWKs{f{!WW`Pq2IFmA#dZ-YWL;t^vmD5|nb z!J@sY&kS`bdSKzp_&#`*L5-Rt6Fc$JPp(Av(8NoFDvaJ3QJNGx%5kD=c;e7qUe#^H zr}Cw%5@H-*!C55_M50P2sKAbg&YBB)T$tBKLJ5+BwNTn(xd)$qVE)YNZZ-S9|KL!3 zghgWh5{Ne8xF|7|aa^egFHDanI^b9QyUL5wBK%V$q)U7N`mQS~e354P^Nx#ump4zB zbdT}jTOWag@K@LFhzK%f;4NW|J%_OTg5bti6|85J^()%M|%-TA`jut4H=svt@^+!kU3O-3rx` z_Jh7kiW5-9Q%_lUj1XWOrE`>ilC2!N^Rcedc2diG85inE|<2N|doRFD_4XX}nk&J|IJOg$}DOoFX_d&QdM}CHK_bg-ji-J&x3BGFE2B?dm5p-}08;Y%o2_RBoMMuIeB_ zm`wcxO?H?`*wJW3NEj^0O3lW1sqDRBJ;h|tNu^*BuZ>pBp{q^{dCEIB&-vlf{^h@)o~<+8 z+{7KQ@1=R?U!?PUf~hhsw&Y`&_p6n&vpG>2l16tpOoTn=`hI8Ksq#W`olHx$_qETl z+g?(u%CP~jMOnSw9oNb6E41^fK514`>Et9fe5|uePt3OvBjhOFv}Pe=Cq`ZG%)*I? zp1H}4+x7U9ov>Z+9-)=3{n#EeX9OulrrgbZ2<{C=M~9+ax83DtauU{itKQQ3H@3ok z`&rXL+Q{|W?zsZ*t_eB!S~XcsR0r8jx~+(|yRFMjo1s-j)34YxTa#}Me-&&uT?OR! zXVL@TPWoWbgHoh6e71bA1Stna+F-_I)@qlYZ0aJ6Iu+NtJ2Cq{m2TDHV;QPZc{<7R zFRRHk=e-2VR)Go-Q84Azv8qUP{I0yM$iO*lwR@vDY~7l;y~s>S31Nw~dEDpo(r4+E z;ezoQ7~F0TJL}YR$5TO8!)+(cOf&lHRdieb)*KE*K0ZDcbO}SwG81|kUOQ8MyQ)h| zlx4ezwUg$1#vB$zCd2x#_vqu);=~bmg#&itb9yQk!nl$?!ivRz&=iLrj_?uM(#)9a zd3rrRTHVi4vpqL|OktABvv#^1P$TqKcbxBzV?`I@n`;(JIjog^ue!G|46sF?1j5-` zpP}-qel=tN+1BkdV;*w$L|ZpCtqL-gFicroFa}p%e2R`s^NN`AlLQOF|9z}cF3huD zS?-DGi;cD@4`lVd?gry!1ntpcBBbgIK({T@PDw9eP00)Kb*CU8XpcSN_jjF(FpGB7^aG3-{z<5Lci1;JskAyjv%(1i? z%E%x5!eJ6J4RhpqEx{iYAODqe>MIi7x-uuGA|a-iYK->c8McT7icA!eR)We7SJk zNP>s*f@~YyeV*)XO`F|r>!%_=G0Fgv4ZJL);0yfT61_`$h4#^ffY0roBxP;$VL=>5 z#>JFMgGs(yzM9S5TLzczLcq?2^15#Gv{UXl3{4Gt0TOpDU-c@AP3(PM$Zbipr@M_h zYo580&xNC6b#-D8)sd`-dAe!!?mm~@?M?yJ1qBd2E#LDDo0k~A)NaNCHbtfQ?;M|F zzSRKf-4U%;r(WjAj#779rL%se-ShnT4m)g1(B66@7DGY);rE#HDFwRh=k>+H_(|!L z3K@vs0mp^Wjv8L9*HD;~+~3n4%E)?u-j$T;F@EVp@9su?;>&z+N|o}%uY zHYntTzH@Zj^l z)*1&&EJ}h(t%Y{1ku-Sg6KCwYOH--?9(&d#LB`+@T^lNnxuv%+({32SlO@{7I`7g_ zDcMQAz{A|wnURt5eA#woyDwfD^}gfy3Vs$~nsq0Z7_776#LM}V(SV1`Fd++>P_cS= zkrpq-(aF}U^(*1Cu!>E2VO?S0k~U7Mx$mwh>4bzxJ6o=h-Q~XUVHPxkp3)9)U~C8N zOPOKjl=eFqSc$OKUQS{eY3@Sryeq0y`!HHq%ts zC79r6R3#l06s$gSpQB6C%`WX)p^m*bZj)G-V_t1Lt{3UjZ+RGE7~`wj3fmhdMveYy z*Dyd#=U%y>uWErpTQw?qZDrjaCp@HNz`pf6g`g){}>jn-}^>xFlZh3fxFYI=Qh;0qk>mr z7ZMBHt6(G>t{#z!^=$<)aTpzeVecjwYi&Hhgy2;nM_($q}{u)*u4}tVxxFZ2;rlKCvM>U;$Z9==dJALV9QsI(G!< zHpn*)vU>Im_ZHzy?GtPgjQm%JMI7JB+Q|Eeb?i>hg#gL7q&!&f>4XneP*;mMxsz?Z z<8|ITUl*m_rkflFhN-8_$=eKcXjgiQtJZZ4oLo4OcPEn!A0MBTC;{WwNSnrG$h(O< z8O;TorLRBjyhrLi-~A3aM7#HTq~i2D7bQ1CA%5n9Vpa9B`+#Z5yQ-HT>&0z&=L#R3 zh%ZOp?JE$!FIq6>!hZtg(Th2+oJB4#%Po->`NV;M!=^x4_PkpX( zxx_cGXUl6@!<$zu?_}h=9A6hF{GcaNYVM5`=UU37XO`NyYo5{J4Q|e_5?o8_{z%V~ z)-P!%VGs{RCBYp0Kq!2FNpjcj03B6tHsqK3rK+0YuT#xf9-$H=1E~3!QL#m1ZdJ(f zh4n>`h*&&DoP@(+bl>Qy?S_Vi%1N*nyGj3sjH)_>6Tb+V?l(9_FJY)$+RrJZEbt{~ zNMen#jR_w$Lu;f(4#T_hU45h5)n@_Shib2+ZWFPNq4$!vD{m}AE>9h&7wLwPNR%^} zSPA(ck4`IPia(~(V&W)FtDHD?JV=Xuk>=9{oDonAtZL~F(pPagtKtM4Fbb|piH26Y zOA#8_D}n3KYj1XECxztu!wNHZ-lX9A;7_?7`v-k~oPVAHuj4!gKbBKk>S75(dAI)h6KnuqHgm zv%Xk-(7)0z#j9&F4VUqk%O+iWU7d54b6zpm?dEmj(;<`?+A958Va>5Hk^5!bAc`t zXVQ8zWUzp5bf!NnkRVZsjx7(-`#hCszFznBu27t<80dTX)!fp6Z@)M>1H_BBhF-i zNGEfvwZ?rm)FNVIu(sCbkA4QWZBUEAl`?R`P>1xG$soCW1yY*(q7S+1LU)50UC((pmpM ze;FB3-=p?FfRE}FB`s5}BXcFZc@^z6 z$;CIgEpMWIL-*2(4}=bY(7pJvV~5T>m*3}-7SrYCw3Q`ghTDw@jV!ss<&Z1rb1BQE zgpIV&0wvwJ2OgoN7bPaEGh_{?S!o%FQZQNE#0`+eoo9)zy5HrET~^Sw$9gYnACo1C zLZYb7b4~}{QJl{CY(Z~g=Lk(kcgUDbh9J};%evzdj!eIVZV=m{Kg))lX*S|Zk}GXa zrZ>r-6NbKPhrv9T(|1X7-6bR-3YP)0g!3$JpGDb@a_9nB1V7_tR@HqWqh(Wg_mheBrI z1)gkGlPux1BzLMq%)-WjEr?9EQCmfQHm#8$M3S1S*Kx>2bo+RoD>h0_bqH~{S7PG( zM)!oo`3{qLrleP=g8n;GjgG1T7+cYDmI>-)RHsYSE^CP2_^d^FGU=BtF$yHtzx=b` zTfiX}ve~QbLw-2&`oFYdQP_QC5OEv$I@9p5gK3^0=#yLTQ*2w|X zm{1sCDGD{3=Pjbh6zZ8k&`FG=34bC^1;q10IK5kJG%q&3TdEf)vGSd<)Yz0di#1%% z+B%Uak(HCS_c37lZF1G><=yh3DPv_#WBG|GpQvSZUKJmu{A3bpDT*jpT&ShS%YJ~D(-BUlp>MQ^N!tMvpFqX5Nv``lx^3?!&+?D>vO7Q>FJY2t zk^TZ(iYe0RL+v6N+vRO9JB;(ec|c-;FVe4%X(Nxx@=VD9rF$J4K+|e@!Qwyp$-8&? zv1n^p%8d0nzx*kYC^`b+U}<1=38uuwI_`MEXOD#UMI$Tfs7bg&))2A?!-QrZ#-L@a zh{P4-;`JuJ9gjKI70GH3d@}jQGUpk2*u}Se0jcr{4>h)BCt8HiZkx3GXnkFMO(2<4 z+~-ep#&1&rO5N1?b>5iBeh%{b`h|8~R%a}!hiN+DfRa}AvF>2_T?wE~;JOeH5|5)e z$x~?C6>C27;8)|3Oq)`{avR!?R}EkbTpvPW{YD6Ip%|a)ilL9Zj9u5{+P%t%-31xL z#m@=FOmL6l)aBLsVpTjEpsmztO%D6#DVP4U-s7lg{Q^zG56b#rX9cOF*C$)^@BuzA zbB<>!PlI$U{jl(Hye>`>i6vDyyqDTO%E{B_b@5QTRYd6<)8`-BBs2Wn z`KX(q0f;cSt2bC+bWpbY6od%hoZ16p@1Rv#^abm=KBJ2>a|#uYZ|hv-4Z-o}U3Jb& zp(clg#JvCKPk-1e;I`pbKY0f1@d?I9EJxnvqG%rXW}ev?eHX*%O3+uBX&1Tumcyo< zZpw9iNV~}cU?OjJj_iu}-|{Fg^rJYi+w{~mMq+p+k(~%_k@7++(BQWvUn_?=Hdh5g z@3-Bmz?_2(x};Og8$!qDzgU6`9SLD21~_Jea%}PWGwvS-q3}*k3O$Ntg_B|Qc9q*p z##k18Tjj+UJ!9wrHSORQt*3#wd{dObrH|PI$qpMtZhMGdSLTcflmN+uJ0o$VPiaPE zKL?t`6#!$E9bL(uKWJjFjh1(U6n*L5#EicyN88tB_5qfJ*~sc`%PPm3y$@kTmrKVo zjCbHuH+sBh6<7N9_rZs23U{HBI~P0-a520hA7uDjJO=~lbcqE$HGk^kBn)kYAF2b z7~GvCS>BgDWM)WJyGyO-Ct;ho>K%VV4)5OfOtKt%2HWum(>vljQBp(OIpbpl6TdxN zXy1y8q|d^Zmxr0&GxQ}a{!Pq_LX8F4+xpWB=>ee4Gy8No=FsJIJJFpSMad5Nh?5Y$ z=Oa9KK$sjG>R{X5?mjY}^pTqU8Yhij~n)Buka-OJGJ^Isb zJH|XnsMl$|Ufc8xw7ybP9s3ox9iH>$3Ew#0*@Dh59=wvkmW#_{x1y_233n4= z2rr=-cXing{gibA2XHH#1lPTAANJ3Rjx9DX(=8D$eWmA_uhgM*(WWTEGMyaYnVg_@>I-%n`fcTSAosL zpAy_=iD^{AZps^hnXh+5^Ceq+-Z2ae>oGm&g&-|HcJc)luQg9bw0y?-VZH76Y10)F z#b@>C5zVEu+FY|Aifg&(eEJG%g4?7W(-IheOFwD}ymD{qeMqq@R<@RZDd^W^?_nPB z)9tP+ERz5wS5O(#bQ1M>Bar28yZRX=^1LLKz~ZAFyDONPu8xci?xbEKPOz2QU1zUS zI$+|XX+{Zdy(vf9RTkf&Zt^Q?H?O#<2sPbS*ghZ-Uw`c6UkMPl`qTd-A+El)G~Aki zrRzq-V-AlaBi+#-_@-s0X$dA$Ch}|_30v_E|ep=D7`Zr^GHL375 z{^hqgQFFW>3&wh;`QrcnvE0Y5jf7ZigpepH6F09|KT?pHsoz)_kdVe1zyzF$Jr=4v z7V#2hW+}~+P;C%DN&;t||HgOCW9hUBM}yQ8vm=o=-hHk$iQ*)fOX}@jS1mQii>~a~ ziCw!FX!hRk%$4ZsnXrks+Sr7_4hq!2ZW&(TQn*4IId9)!?Rvy!;LA_%!k38P(4V3; z_(AB+1^lN!d-rZtpG#}J7VOPLA!itYY8k2-waRM6$w%g`~spsVR+{9%!1Pf(Ig zZatA`olJ;Fo;d0E&!Q$IV8p|hfX-Q>z5?xzPWncbiyOV%@a65XGS8jpVxP$PgI_6c z$$jjBp8Dx6my2V%E;hv)%Vk5Gt&{`Gyc)u&CeKmp0VV>3;B-kcvAjK4*FPkS7kbVnf-S|nGEYr+q!R-yDrU$`8kU>?Lt-uJV&Wco+5AI20?*!AO)#hn!%UkfTzYm!7^l3B*Tj`fOeD zYI;4w2=!GkgdIZ#QgMr(Hg;2gwDmTwZIzC0=wz)7`H&MgwnNiuiIT0Y9EKLmrL?5y zzVyJna0%DKcXD)TB{~|#7WKTBb)aZ|F`)9BF}z00_8gvogGiMJ3jgarQ{p>2g_VO- zfo(494c8cbc?9Z?zX|9a=R^QqK%&3G^GE_Ko~98=5NKRIxG{0ILR(%H0~^2j!D59K zYhtikrXk~kztl8XQnBs3i>H_G%lw&KNlk0`^>C8q%d#&CnJR{nyXaSQ!50=J;-juZ zjtJ6&p*RQW7CUTj>z7|u{5~e)n+owD1jFtv*mdIX|6DT(PJj+cDwqUCq250E6#9BB zvE)%-@23>4w+<>?kx+ zya*{4sI6cNli^L%I3$i`eG+MvyVw?oDut55zCg&S-q0N zeL5#-Q_*ToD^sCr^Q-TD*LGz9VL>xG;p^7oeY7y&Af=1CEp-%qA7(RJy&w~5g|kWB z4zmX-+1RB&l<6@gW;}T;4!pX$y!;l);)q3?W_Z$)#jr*?BiIb}`W&cN1yI za`Dgo^hdH>X6ArFikg@W?n8u4I+?kqJL12M&0~1iMTKT2LHOV{_@6EJ-Q?D#Q!}sPjaM=Z}`mR0@t)Jc|=6;?;`%gFl$Qa^ASKm?z9%+&myf1hN8YyM!`K1iPK{+8n#v|oDkQa3U2hmoJKLyAFqoE zR7@;lB7>)BRo!;04H1w^2iXtn{+6JnuI}IFAjplO6x2t8{(dqx%l@gCK{D#bvQ!k( z*D4|}{`BmV{BHkfN~^531?dp2DBsBJ(SJ`e58$@EnuFb;eHq5DmK|$$SF=wzjQ6~3 z!laU3NGu`^xl)~bXS30E^(IY^ojAqLb2+N4q>Rm}0yK5=U~O*+)~JzoWdbf*(R;TZCXU6fJkW%?}Dk=JnlwQ&*5 zQUW8Ym@E3PD4fiz*JT)RMV*)4a<AUSLz1xTpSL{F>qa9daC(htSt4tjA)P{9+xJz`#LMe&UZps zj{YQTJo5|$$VIAKT^y=iXu%1hO=cU`6)+I^Qhfsef^n&z50==nntlTlj6k;?0{4E~$S znf*ji-RGMwremugp^5P{Z*b-NIe3hkI#&2js{8>uJ%ah4OmkmN5SV?J%FGLomGy%# zh;+scdFB(s7kn{^f-$-J`qGKl54=!a`iAWBEPG6fqXm`l& zPqWXQJ!u)7is!-A6CLe4+zx_i7T><4)jrSrvE_BtX)^r=HADZ%gm=15IL#ki^4X`Ak@A)<&-w8*dt@`fhooa4 zbHhb_-= z+&Ug{j!oBuUtoe&EwIkS%-gS)uGWu^ek;@|w~sApIC=Nj@d_=?R@mN*IVm9tN%%>b z)sH9CDk;cFhShn#FPh@8v0BOxn^Pg=t_jj+vSfZ zlr`sV6bv1tniO!E+N9RYcqx+-R(fvKt(K_tUKk86J;Oa-LAqA#CY9IcN z@{Uctp^q)2w|l7`P9-Xm7;fw0#0OX-6xvxSq3NFSg+fnqt-}VQGu$LQtvD{Dh_wOeET)p1ozhlimqtCy*gvaAhg!@LP z6Sdkg51#Rt3;uMke|Z7BZC^m})^w@Y3}5?_E}04L72S_6_^pZZyVkk7U+Etz+7hz2 zNdb>IFFY1F^F`-0_?Tuqg});LdXE*XkdPBnj){V@5Zwh_yScDT1#{I)L#memtMTBpQi0+ASzevQ- zjXR%>PGVdmMb=J!lb0q&0`$KygM%Y+gA9-)u!z;cWzL)AiOu2Lfqg<)&IYkFOryoBO0bTm3-E~4JhDAYrR1^hd-ca@&C5~8NfLDxMI@A;IK6ff6TtbZN z5Tl4ojEfGHD^6Bgmh;&)n+l_}*#u<_@Pi)`peQ4e&YB8Hk$9D#W;Ox33M&)Kmfnfh zmA4iY%MjD>L1nw@_p|tafASfA1h5B;|c4WMVOh5-+9{>D#?kucH%ww7_YBjXC;Hwm%IW;Yp;y^m-V@r_&V zM`S&>k-ZXtTUj+0G2|?v3*aoG#cBNcl-`AJ^`5=7VZzwxs$~+#A>G;{?_rrJm9xHSJTorqU(f zV}=?*(+4)z86_Ono0MTVNbpoNTXEJN;I4-VnFae1J(~$&{8=M_vYE^XeI3yogO~61 zmaf8V7kygsU1DQ;v%Gy?QEBFVgU4tU=>5PZtSyaUMv(Lp+;)+DiUic`jgk_x5%`xTYSZA1Bc+kjgq= zj+gfNQV}#9UDT3~tf2)+2sgeU#RlZD-PPEt_PI@kXdJZ7aL{uUQ_QjVT_bSTu=$>C zA>FyqVS`>yeAsbiYl0yrV=8avd8#e|Mi9r%i39C{77GxYEJqgVVu$5Jz+Os9Lg{Mc zE-xr&M~;IvqtNMtL>H6sKOPIZ2tkO?H}{g;4z^#4kTBJLj?obak^&Mrovdw*$(_#tgk=H1s#D5v z0m?Tt4wNOH8-3>t{Y}4~fWhTG1Q>S2CY4z*yeECdVQ(>eO1kmTfzp+Q(yIR^yAx}0 zb)kn2cA{mV^Ksjxn6Uc`Cw+UtHs7^5eQ$i*!>C}a4pyCAsv=)s%{k&e*`Ax2X~G>A zgN8Iscj6l>y=Lg;y41A=BV5+>7M1|!1{48%+zXWP5j7(~4kmVftuX$3oa4kJ*Qn*J zNzV-QgSDl*FwLL-*L0h5Y4?9-#iozyTh$dz^xmafx9{JR*ox8fRP&eR|y{NR~j0aSw($a=Kuj%d#8c66ypfVV3^U@d6BPHXNx}WV={~pRK1VEKr(Di*ogc^N}#qUjKNSS6;R^X zLBvwIuOOYf=%esVGJMPi5ZuGH=}GL`;c~Icvoo0=`x2>MSY+f=RA5q36$+k+Nk?^t zhN1;nDt~MRiAlGm-+e_-7z!_lG6 zLL(w8^fT2>Ytn_bhoK7`btPw|rJ@;k!ONuC^i?KA5a#<*rnR>?q;zuHj+JBB3Iq|J zLqMwV>Ehpo`GHZRWe&Rq#{k>d6k>7E8;Hj8`m}%njPYeR7Kf%*;P8I}pJ}Y&w-%HI zY%<#+fURt1eyl-`_=;>*-&&^n!D$Bt$^Qq-rSR)9NiRXXe`qU zZ~sX|B^WC(fw*Yv%|?SG=D*M^avm5^@t?zVA$5h-7Tbzj(076;B2iC_j4g5OrH6cd zW^^)^`yo9o_Q$fbmsX5Jx3xLgr<4Kc_7Gx3?M(cYNi3=c>0;s#A>$V~d^|rd_SJ4p zDTzwysnmNg@Jn1p~O>#1#F^V4aM zSH28Ts~ZXS@2M)WboQD#)NwLZoKKx`0W{}>Ni97OD-p(`P(1ddq|;|w8gxOHNv`OX zAxKMFdnpHPVZqv|w(B1Cs9rr{jjPL#pd#_?AV)4GUP)W3FkV8ww;m-5`UCG%$o+Ae ze@cE}GOO?wxWdsV!@(xPhS?sAhA(}*LxwIZT3!XZ-VP__1HD;W8z*%J$R~gGCx6e0 z{_0PDL$_QPnSJ*wMl8qdtp9Q;**&R$6p^+Y3iOp41RmPpK7@k^hiwQFQv-DbmQlk7VIc373X9X!a(=ZSv! ztuS&~Fd?B4NFJA%=syWhy<2-JB2tV@vhW_{Zg$#T4K>BLR)rIC28~hg^ADd{IxWn* zC2Q+~vFPR^Lq&*}Ny*y|{Zk8Qh$;85S<}hY9Z9IZ8EDwP(L2CY+aHcWC*FA8~X-T%nn!CrH z<+ra-YXNdldKk8KxXpO04E0qvsNRKK`cK7kDiXk?Z(zI8Nygp%nQxHXQ=t}&tw6kg4Dm#c4S2ZSV;NP9Ff&ZyB?U<*RCf#7Fz}kFXLmU6N|l+Eivy~2fp5xQ{Me}^S_sO`1@@e zti4uu|JmPf+JBL5t>F&Ca z*erXUXHBubW0{-oVBqfk{nZOztF4HaXddhpkA(##uq!4@?vO%D<6LCw8lZbG^`+hx z*7kCc+y;uDn_8Kli}wC{J?9&X``@-Ms;>nFqrkx*(t7BldlidE(Z{r_bcNm?1{h+K z+-XZJw&JxYEfL~|q!Zu&ony3Rk9LX4sFbH_&% zF7xX>5l-8ZIR5&#?38qi9P#4)-scNz5o1=6Et-znUt>CT4Ng|46FuJS*mfUc6dc*f z1KntBXW>rJ;|G7XGyVH`09n^(5ryU{Q>wasrWwS!A}%rF1)5d<%I;G>uA3qR=Slg;Yngnh7}28bO%=T)u9s#sx~t#C-P z{fEGgP@Pb!6F(431EK;WYV4r`ISX_nWPUw0Dk*O(4#iYQaxp9wL>BL138{&qJfoG~ zA~a&h9wSQX#mX9<{=?6O4&HOTevQ@}m-&k$2E=nSJd)k3+-+_D{r#POFCP;ATee_;k zeSNZc^J<9$wK$t|V2Z|q%}ibpobAQCWf5AwICY-?L4MeyM=sarT z3VPK4c5$L6YulVg^J8&1T&(Y?Wpcit>RV&VdxOx$-&6@k&@3sm^#>~sAKaf?BOxT# zbn(F=q~^~jg-GN9ItlG6>q{nn=WD8lHPL+ic_Fi;*8A*(6*>>j&n?0{St}*%LdjnI zkW9<)$vCm)b--MDIG1h`iQFi8@KAZ#HCK5`wA*4^<(*l&l7Spd1AJl0X z@w|*NomM}1@PBR{I9qTwIhgAE58+fgxrm69f_gOBd=#RqQJ5qYQC-Cw{Wi}g;&9r? z3_AF%s$nvh)u+<_h}a)E$`?63Ko3X0?P_1R?2CWnj||}P`*q$hbO2`0;OMUI@YpX( z*uK`(IlgYp3|ydmtSw#vp5!r<0Tvda?5b`0@^^VDNJkjHlHwbTNkd1pjLU$SFf}2g z3x<4JU*XivM=;(hVZOZlDbaK4(LBilAt;0DUEZ{ibpI9H4s30tF23MVV1}&OfYfw z7Coym{o=dI!(B(e<)+5odRx=LZeRYi7JdkxAKQ9eHk>BB;;J#? z==7W~?LCNQmbN;j+E4Uw;hlMZEwf1*IYkN4&Q)&LKB6Aqb@{zDtm#lie+op2t%(3^o# z4P_zc=M7!Sc6_-qKpq$r^hhcrE4|d-76<)^nxKN5!A()?f$$p{?|nri+7mAMz=ba2Tn`L9XQr0Ji}`19?i z#Q|gGUw(smNYHr;X&b6=epIC+^$>$tpoO~S}7oMxVR zyu#s?sHQh^V!Pv=Jr)p*7bI(YX>!mOIJ0^X)_$s~*x;fQsJU00{25Otwu z8#B)f5gNp~YDp?@{kU0#y=iQ!tUuP4HjY^8EOc)LakXZCkp3QLXa zWBU8%T7!PKNg^WopJe99JY-1C^#`9QHkP7t>*afkpv`>Htq)kHJ5in+4wAG1 zw!{$gb<-t7g%aDK(y|6R2d&lc8P9`sGBFdm<;k%fvP(#6-E8vC{CunC58RG+k(TH{Im7otQ=FXV~oP`ZiZ!*X1_VACKt; z?T5AXNDtt{ZDIx^V29ptN(n%&Y#_YTvQKB)CY3Dk@zWJwV3mynYy4JVWRvMibWuvL zlY(Jgxz#n@3a7X0?}YHidV+n|HHuQO&S9WzX=mNa=B(r;7gjqb=YhR?Ole@G(2was z>d(+(V?~I)iLFnaky@N(sgEn`DK)WH>$J9Z>4DDjBp~Bx_2FFYjzEw&BWVQ8%WpM~ zlv)P5!NHaY9Yg4I2I=6hxAcJ=-IQHKh-GXcV_~;48fe(v@@L+J-{y5-MV0KdTE}Tz zMX!HxqaChfx{T&M3bJ%=P*T`q`a2;*Gra+W0yw4_gx?Oe=M|wco64xLaVHxoM{IuWhcPaw)bUDOY9)HiCBEvJo~iD7XRJP-Uy=m zLfX*@KCZ;Ak8rAFh7`(O0&AsmV0C>0S`Li7-&!NMR{UW|6@0i4ysGaw9)nLb+J0mh zEv-O!o`|7W3d|UUWOWC7v=wx@Ubg>1-11OoOWdIdx1aaGZ%$+c2NM!e!|vJ(c3lX* zWchw3mQ}8Ixq!uYl>rVlm~c*Pq(&pcD&?}w!0UyP)y(`Fk5&K1GM|yyYzn^GBgQ$2 z5uS{|#1Jk##X&H3f%Jzd$r(4PFPx3l zor0y#i@!O&jM6J85=(5AS&QV2R{jw-Wg#&zSi{{R&(P^OF)<{j;hXaU8iA(+y8IpL zbb4=ra~gdB%OdY!kCU!q%ZQ4q7CZAQpV)v-;(Lp}M)KfTm)&7i%*67>nqU_4UXl|H zf(Bz*U(CBMV^w(JeUU2(y^j}K1qlva&=q4UPVCN+L+X{nFP*=3{CL)H-kb713f(msJ$IfBCQN^)uNu`r9>| zx6Upv^796&5qm8rKG{g=$9hpY%Y|=a8b75~RalI~gx0S61fC=a22=p7WI3;0g)_7>sFDrPiVz< zsyu97G&|8EK{JXyETaZiV_Txm`(Ap)OYO(Jefcd6EnZqxH8C~{36XJ}keAfQ^a)Ma zcFmq)dD@jCSwiYjZu<0CoU~w`3A0^i%8!98zH~rj=E!8DsfeV7*)?Of;cS zT#5~9+`Rn#6Jsaq(>PPYP!kb@_2qk#H`A!2t4cfc3JY`@*SRfVevpYaD|iTcqNfQD zmUR48NiJhMA()qAdX*wtaZ740P92AFogB7vC%kKC27qkSBjreamx_koU?1cDio>(b z!;CobnDTr#x*;H#0GH5m6i8WnbH1!T!{q|D>kf#4J@#T@QCm~ zJlrGw5pm;(5!DUDOKN5_Eir>s)kzi8ox>DNO=UF;S~H8kN}2@=G@C&!7Fmsi#11w* z79(-KbIkk^5&wU0R`o29x~sbG9}#B9-e%{Ro%4OJqjoqCRLKq~`>yT}rs<@sFKJgU znz08c2fQLxv864k;vms+!J*P_W(8#Zt;sAvGzS=a^X=u>IWfYfQ!5A@@p7*DP5}~qHaDo_1 zBLJXrfOo-g5nG@IZHr~mjIshR0xY~6Lzd4^URHe=e@`-S!uSkzOJaPIWp&d8Q4j-i zzy;C;-nrsMX8q;g&=8yk&ws4XG$f?JoEfxs!V!VoK(OBDWXRSft@-oKy4ISqVbtOf z$*z?fp{tw>#r&bUldDGG$^5>Cr#B*kuPY+E5fOeZ5qv2`Ml>8ARyQLz@A)ZZR(tFv z&eVg8fxJc9^~V)}N$&RGE!~OS4qfMdehltQ2qv|^llKE!5NbE$t&)B5B?0%zG32g@ zPJ2=Nn0%uKa@34W$ z<V-oJY8R)rKM(p&d-RiBIQabFDQ?|j(S zz%>CX%t;P^xwn}&B6ztGvq2yoYo0m$;LQKkH@*fi3*&IO*e3S5flmUQgSgjzYNJsn zguant3(B*Q{XO>fx>kDu;t(Q4Qc6j00(G433EBhp9CMY=&^ExTLx)kq44`Gn9tDg) zwH!q;zl!6hWIHoz2>=@NYT5Jvuggss%78Qipra7h3>>--t9_BPG$!C6Rj)?Oq7wGuoA-Q|*8IlKu79ey$k@BWks}sz>4iIHk&u^i% zDuE`*_hlAs0d&}qiq#{8q}s9qwmGxSWq-;jLkZ~10w;Dti>g+z16Y5ot`Eh-W|}Eu zHVR-VkRHPC`71no-srBnD4;puzt~NXrz-Y^AhKMgUvG4JxL(DeCUjg&Todqc!;fCN zCX68za2%U!;R3j1#_W7uVzRgA9CvqIK3sG)auNN9>ra^Fb4FKAFyblVUr=?Qu+vi5aCGinEV0l&!WV$_LYR?jH_mX(*nig+$CFzVDF(#cn3>u?!crNV< zoD?W}7&^PGx1B&*KHDWBjdz+c43+i3S5g3jxj_8gDp4Nl8`?XhT6>^2t*RVse9sOS zshZGgV{VT{=Ozr8V}bWUGKik(CtzNYT8tdK`UswevVOKoOfUhS2&q+BwAgEEvKj6! zCUjTkq_K?fA*b||p+f*dzAntEK8zUb3Mcb0!oF2rKr(ZJXEFz(?Vc%OK6E>H(2&9~ zT24lKg8mE{1x%)cJd!;lRp3l~y`GAe)C%mG&yTNEKVauL*V2*o$c5TGGeda~h=G6R zTCWUDD+l$nC18k80fIuRX_(Pg?ygq6*VE)g)%e@Uz4sGp8NuWRBa?l5ARcR|mAtJqnw zFM8}uphEU_i7+-V1QwFSw`F|6ZL$W_)Ix5h0UJ$L-v>u7d-S`rtkE>9rs6V)iaN6Z zD+)Q`JaZG1D)8v_=MQSdjI}#G+jb;hnTtZ~J%)icSG&L{s zV^3mDuQMk@e7Ppqx>IxzWSNA$Ugypn+`1HN8LsGV*)iOyIOA1rI+iEtg%xZBR~sAd zMy>=aU+13Wg=Dc(vf=8cR|KUJv3vt_CsJ>U&+}TL|hHm zra@-N7&jbAr(Y~36Cs5>EK6J09@-(jA;?ULW+r`)v@)c+B_9PR!Ak` zRE(>TI?3JI#R%A-6H(;3k~F=a)I(BVlJaKk-A(z=)6x@=V|_PnUPWbvb#UcrEKk3C zuKUx?m1q*!-vxTazd|}e>VT@YqhcGFX5jmi*{?QuPInR?X%kMHIXE0TUx2s|h>|LA z4dTQ@j&z>mR6MAQey-#v!8>xz6{Z9%+!30%NFI6){BJ0ES0C&$-`yILafa0XG&QIp z*g0#fn$^>fm44_UkwZ$~0VyV>#7>{Xxv!?han&8%b=f>UoiWvpS*n;Pa`IdY;odwk z-i~mQkC&(R?!a70XYBH}>~EWSoBUt;rdEmh@@P}4Ep<{=;Q{IOwgFE?U+wKBO}CgC zm~9;_mW6=>>^Uez!+iq2Sl0(9OtaMKq4Wgla~bVz({DDH_4+z<1kUppG9x^WPR{~9 z$8aMM*MS7^)Q{Td|GJWp0-uW| zxOg+3=6kGruq(+n#h^tKKVL1=+T{?M3U zXiRKfWhqs|7X@S&tV&?a-i$#KiI_MJtZxGtx2`s%!2qq^|IRLBANsq{NANt`sJqtzvgFmP$NaQM9~puequZosg=9CxJ0uPYF3{VZ_e0C$TtSXoF)jyi4M z@Q?too$M{(6$AVh`5*+hNDNwzH);8n4ng_=k_Z$N`0}mKsN5(7*FyATB;N=0fs%7L zsY8cbtiKOwM3{sKqG|3>PbK)CM+xQ^F1(#A^F!-j{mrRgDr>R7l259Ad-V{elVD+a zm2pZt6LcF=wGi_BsNkCfhjKF0#ZM1$bl~*MS{Ywlp=l;qFbP;IKQZ0%}Rx z#}Tif@-9xJocXDCGp3@$NzsXUc6LCGE}&`dos!{^O=n28Zt}s8;Cf=y+@h|bDSbw` ziYYq{d9y*;o<%0bSav!sTfomk|K4y1w`Je-d~)0B)WhX9m+V`l0E`RUXZ?azi_%UR zN(`peZL7UICHuF{2J4S@KDT{0#No!p1{Rq;W3i-d)TJ1Giv5#4ZR^}!SfAMQx+J$_ zf87b*ow1LCG|*n)RGsPe7MUy2vz_s@_wKLnJCn}mm9W0pV%x$oc~+6=&S=E^BBJXt z+1h+k{1utm2fk^c@xW%2rBWB|G64s~>oUO4eYG6%4L^kQqb*khgqLOo`YBWnu0m+N z`K^Cyhln?!i<(3T@F|k&h6#Sz61XS4WE;|Z8k>w)IYK5se`1S4!XSw}(PwF~=YYIS z-k!L-X}03B%@rsS%O9%~4bJ&zAVPE0#ch3X!!Roo{N^WI$!I(h>Dk*tBkEyc^Rt4n z&}3X~rc|@7&xQINj8R?SSYS9WcrX8u1_yYRV0} zqGq5vE1neQ4;a*XTe~;g5U()(eAB;Z>OQ|1l_YU}x$Ll#Nm0Rc3-w%ox{uApVdI*X zmtH4G<{PLN2eFh0oRP7_*eR(4;IzrX?wGls@^rd4le~GEH;d-Z1{Fg0l4zN1QfvZW z5h&PbrXVTmLuxu-ut`4Tz$~y2b<$)6Km%zwT5d@#B!+ z+t`nNtjO$TM;{NEaL;TY&+nXfYJvk}H5rg7^tcKMoaDzUgfj(=57X@ai1^prhI_qj z+#iJ$Z}YK~JlVedS(uzzX6e16v8>-yboxxdoQ*e)fQwJzJ~bAf&imeTdChs@?E=6R z^v&M=s~uf2ss3D<%@15SyR!_TroK4&KC$P$7QSGNrSMx$xE}vLS)7Ji z3~$y$RO3e9ny3u|Cgi)kYDg=>k;7_*T@|anc<(g@b3@{CM`(sDxV9o{*D!hDItpAh z$70RVUYg{~@vurM{|U;9Pj(`$PVuGKsg?cOu2iAyH`cPJU89+jnCP&zV_h<)orz-e zQc}f@yfC5#2X9|sV3ESo6pu_Xur5vlZCH@#6-=6KkxQ`YoG4{@sHGC{T-aX9ld1~D zc##&OivhO>hg5bPg#@?7Bto=er>fTJm70}Upv*Z{h>*!?PB}#4?r3A8hD=Ks0+{G9 zit!@Ne2ZdLk}{2FoO!eO!Ad*zP203Aw)cl2)Vwh8yN{!>+qN|Pt9cVhyo~1waqE}c zLKwJh4c?|{8E~c0W%wa(hQyim*%D}hXfXd_5)EHnk4Kus)7~yl8EK^h%M_T*Ab9z!0pHqWNLL&>_&y!`E8Fs=-Aa zm!cUj=gleWp7z#pWt%bJ$~)|FbEoQlOj{mY25oU1zY;oM5N65%p*vR%;xird$9zW7 zexYX+Y005uWSjA3ocOveup^qH#-Kq{%A{jx8~dyWzQ%lUWMeT=LT5)&t`RBx%*^Ey znCW#Yxmfdy`FufmL$5QQ$<(#}8R50!r-P|zfDHkVqq*vvWLVL(DdI(-czongA3>iu z9EwhJTwQM-)MK<9%&eR)>@{OV&dMRR?%sg=NjU7~FOA2)^Q~8}@Cri)$EsMfrBMn# zyf^;Y7VBI<$cu_>SX=~S8c)B)Z5JM!$c|4Ibo}iuYoHSVDiH4q?<~a1;hvlRb$~=r zu^iGvdN?3D-XgUWQzBLzeCIUIQh~Hbl8FoSDF^zYrNDU%Bz?pZS5D>3MFl2F$6P_w zD*EKm|I(j>Kst1oL5EYXE;N1+M}Ii0+sc7~W?PcQbubd?las$7QKu%6+p=;#yHmq$ zd0ENtpr*Vj(p`ks4!h_YiEv@MyW1g9Mm~CD>um6t_~;G7v8)1=^*t9+kjh`&7J;rb zN$6jvyiJ0Tt@6@x3hJ8u{V@p^nFTT#n!iX1xbefi5zZ{IXlOnOY=5p+6xF$PYb9B!41|hS$3+aF? z=F&J9=eiz&g~*Z$WND>yy4T6R^-o^CdL^jk9Mmk>rbo30-&FNRo@`~c+piCAMiL$X z^X`Esxvke{T4Qk5%`4h#$)W-m?!Io+0U;IuL)|j6$x?Mr>iIFv7(CcqIBbG8AJB+5 zOI(u|ByS%%shiRRhSh3LFmb(LB%`&-yx&GJ*`8qmnw4)S*e8vHvJ2*`Iz4PIjuJWD0{QbG2KZ z&J>wU0)PylKvLaaGd2TfKoCke$q<_i2?O`S{}VxW(uObyf<$O}OnStI!_bfn%xV1e zMP({Qd3?{0e905Ik|!JT2rZJ1(6wK)BPKc+kNEsdW3qt4K<5z}6mxB=J2wOEu;lP` z4jRdPJq{!FkNEORG4#<-0?=3|(@ef(N*UFDnx3i^`gmUA2aO?pAnEzd33!}Ex04a4 z^nvFCyFHtx$IDky1G9n3L~jskC*K9Tf-2Cip%UxqXl+<){4O z>rb;}(=09%5z|_)X*c2lqn>3wNHT?bMY$%EEDjoq;!!fh=vsMKo@VfL<=gt5BlJQb zuFR|aobx5Vn}T7ljm#6 zg^Fe%=N9sLlPei=$GP+EHk*JpnD3T( zxh?tw=fG$24l|#|@EA^w-zC(^eEcq*Y*2mG3VO02bK0jGOhbx6O#l@FoqhV9bjIu} z0BFKbWb&Q0R_`G69d$iIO4YXFYYN1`!8kmC8xx2hu*=Zj)UFjf11al)j_x%$uz;6c zv~8|>xC`~5oITJ9+$jdp%T;S{o2Nf!muf-gv~xO|m#VRVrqc>i9uRo(Bxb8}Q@0}? z3S4;d$4AxGLoj&R)4Ap-(nN|C!+p|BsI5H%&9$U!6?nJqcKrqMiV_wEy`=;68r!l3 z0;QmfH?$iztDJ4!90-2awzJ8e>K;keI24Zp01K<8t7$?zfD;5r?2`0~Ej+JUC?Iut zDKteANqvWUka@LrjsSWADSLHBH0(6%I&Z~W{T`9Hapw*~H#+V~bmpX1=KbG|w zF4oj&#gHgXLF(vI@!bdFrdB&()I8vq!T%8PW;vao4$O8k^Nt__h7Nn%9eoQzQH1)P z^PAo{=Ac}@ZU`e&P?y`JNCBx*&6;C6Liz#7L8KfP>;n$*sK%`TGqm*S(GmAWnk5zD zJX>pD<_s5mfVD;SpqU9{vVRBn!;8J?$v7^^P9k+wknAcRU53(QOlG(N0@If|_d8Hp1(b_lp8Ac}Q z%OoFKxuB)gn%a;oOvV@oY#=R+rW@;`p>e1xh}-OB&bJESAO%*9z5ZBMjl_O$zy?i= z%6X6#%2-FWRkw%Q1On6IE3x*#+C(BK2^s2LF(L-hAY!V6-wKRLHT4j6s^UEc04{)e zA?=@fOiHF46@xhL5k>r|{qXcBa4WOhVpk#_SYr%~xF#0-@+t?r1v(KV0(G?(LSkr` zg#*cb*TxpcO?CHGTKmF)%~JWLB@)r|QVIGAc)%bB0ZZF%xq`oDie$E1UB2ykw+ zGchh0~ZwA2~e0h#)A%D*RDvhap%E80CvuAFn+9i79a z{j9`aK!vAsaO(sMpx2n>%+CvHsNtn6R_!DkEp*y$o8s8P$8{>iTSOBf$KqVzpsD&1skbuH01rlc!%$-2l zn6&w~eu8g2FQLzG$?Rf~6gqNjbv*KGMhI`{u0kfydkYgdMN*&%keK9c09~5}hgj}! zz2I%=3QEdMOsK_B?i87*;4t7nvbUlC)<@XtTQ5SjXyv~R+_zpT&>=WZZFV0*03L}6 z5{6cGJZc$buU;LSTHYQ%G5qq~Md-_MyVN;Q-sEzLqqREt z4R7`HQz&cTR~+ouo6gRP3W%2oOk>D0 zrk!l;dbKLnc=EQEh%m1!pe?pVlRtf7KYdPTY(qvz31@if3N6VF{_J=D!_YPYmCbag zROTRJE}5E$GHsA(5BMR@;pwN~xdTiK$Ptb`9p8#{5VDa?Io?pt1kc6Epq|?WbE)bU0Ov=<00HMgB&HB0N$&}vv-YIqf&HOw!Dq69a!LK!^u^;?F|u;U znhkIAgG7nN?7%j$VmJ^w_hAx2?G-Dcz*s?3r<&4?Gh$s9>$6y_RAmF>PWL8oIH@l+ z$pr?S-&|0^-lq1daj26?^_WmzRgcP96-!lXIb_^T0tdi!Ks5x|4nh}m`oiA!T|s&s zMqe?ov+s_rpO61@6N;frXfvU0oJxR#Ts)FwQi51{p5+Ikm4>WW0)dSKr0g{*)@qBVSQgnJ9Cs;`9Oxf+2I~Pq z1!`5BPSz0X7HCd>tiX#|0h8QrNxh?4u5~cLaETJSQcpiA9K)~3MxV)okA~BcosZReQV|#;Hg}xM=1K^jEE;4 z{dLMA3xRAeaAveQVgZqdr!rhbfebjVyl65#<}-TUJ1yXHo<4Vg+j`17cyrX{bgAqC zubq$moZM`c%cswqrQV{AxT{fxwnx@t!>y#6)--%ARw$_>I|Z01M4!-pVtPT7J<$0h zrMkMfJ5r`oexM(gIWHtFO|7?2>YjL*ieIw`~rmG3YusE z*c8y&kO^2(*TT%}z}#W}BqM|NXaEp1zC5G3*}rYGwvoCXj@lrM11E~<|KxvJ6_GT! z_{v<6g(XRxAm+pifj$(cZW^+#A?e@~?51vzIZ5Vaq@pB2>;;UN82TPdj3p(YuYxdh zal|J{8U{`rg)X2h<0$o0pV8MOY3f97;DZn(pd<-y2_tZ5P&K_I_2QIq)+8+uWug=n ziDEDD1H|q|L6p(=et;WghE(IUh>c0IBnud~$B*NLBX~R)#7FR7qY8Sg07-IE+rlJ` z+zjeTno`ctp`=-e%l{CuSz*X1X_6cfIbo79QdH&x@DasOe*naWTJC3Vlv@Af8-Grr z<W7f$3DB4*Jdz)Q)NmvGg9-G|8?a=MlCw7cmRl*A*H9%u^0ck8wNRSAza5J#{1I zU;p;2S9mI*jgVLT2|g|tYz+=$gxN#DGwly#-E@4(f=lNO9;Wws$7$PhaX2ssWxbJa z*!;79O1DqD%Fcrn_WAq*5~DrTYBPeP|gs)s&r- z@dc*CI}Z9wgEy)4vt$0^$OycEH?(h*GD-eYBkyLI$oB*e;a2{0^}g4GLt7>zBNXz% z-6{QbMrRn=@i*(QeCyS#bDr<7Xht*}=6KI&dCow9WaEB;xxlomJU}dHo8BW{QJ&{r zCyMBhw){yh8UUTm_=h#BSW7&Cz!Fg|I?MwrnC41ME(rwyeKMXY^6_x&r2TNR9Z-J6|7VssSh+z;1*(_qg8|t@L zRST7$ePVY-zTu3S6iAv+7R@3Iylm_X1KxWo7;FLV{_Ocd>OvZ2^QeIMh4M<%@qX-w zDSZ0Z`AYH)^J2hR&J}k_=yFM6N_rOD@P{1Zti3bY`Ei%}FU+!pQTNAe!?ZQv)Oh5O zqS!?sq)bs1T02Ybjp3oKge^&}_(IBl-9ja+pw_J>_fiAaiv1cZ_sxKON~%7YS^3&} zs82LQ=un5lWQFT82At>9zF-WFB^fs~sx5QYBV@$_1~6%gBctUBR$<@bEp>&QOL+6@ z4`i_BXCU4erE;)ZS2flOU{|cA+V*%r%{!1=9(Po^TVcC`emJsy0{+yCZ3J(dx<5Kv z1_srM@%q*n>6E4^uq-c%G#T79-L!0)Rb0S7wYk4Qa+N>g?FKuhsnVfuK@qaTFcmBL zZLLm<=?KY^YMfAu8H6-Fy2$RE&-#Me??Jf+TU||`+r#Wr2l_1gSUmkiPg3gfD`~1! z`+^KVVERbxtdDtu0G56D@E%tr)h{KJDr7$ZhTNBo=f=#h#FmkY5Qg}!=r6& zX7ja}9il;OcAC6dVSH-KI+fY{j11h?;PlDK-Um*le_e-FzU-gN%sAf1ego>Drn(v7 zVNtF7dbTj58%ZPc5gAGA$CsL8NPOfL<~e~oxHSNifCk;(LY>(vzC`0OqHVuh*6$dN z=tHDEJi-+PhA=5ocqDzkmu@pN7aly6u@Z8_kAY`KEu%i-&Ra`@*Ea1Ic-?1t;f*|m z#~cK9X-}IOZ5+{8bUg~hu;y`2zTIH88riN*wm<^D4gV0 zz?QZe-aTs?pWsG-f`W`YwC2bU%-+xpxPZ&6IyVR#+qSRN9T{+3DDlo9e}L7Gk61Fo zBk%rTuKNRG7rNYRv$vhIMO+s!o^Tr-1cRJ)-7iZWIv}1?gV1q3-wNC#Zb}_`ImpE5 ziOsCXSF*`D{!LEIONHBLV58G{6M8z^4&YkU)^{}>+EqR+|5nPDnHW37`sKHwoG&s-6Iw;(HJ|aHxJGNmR$6ah$@|D)LhC(N3Q{#C_D-+mu#+m6qJFAZT zNVF|VCy1`=IBBeRyAowjYl~$mUWN}GjevKj@PX#s zd2x$`fIE4^f9BPz4mV#MlkYIc3A2}Pl4)$0;>-@#n|8%|{T`tM4pbgDY`agc-1hmrlzyACW{@&8gmpT)Dt?)zG z=>L_ZgDn1Nor}W~?|efJ`nuiVPs!oy?>r+VY%FlvOBn$t7)tQW-}L2Y9{%g;dRovo zKeajB!4>W;L5<3faK-f*)0 z#aGXNr2|iaJzuuwHyKtX^TD6YFeQ^gkGduI8)GIQLzSctKHE&iP@eHB zW!4jF?1Lfuq?L+nFglcWYRm?l)2jjd|MyqAxfVR3+pAs;W*f`UH}Z$2*{ttPkJ-ea z|EUh`^#5PpX4nx>01zCxdMMo{qCpHkmW;e2n|LGCZUnS5h) zMF;0|t(?e6c$5EiHF3cBxB12!()iNXH)-6d9E-`(^Gd=B+57+me+X#91p2lgIZ;H$ z4PY??Fmd{zByqA3c#9#RFRg#uysoob0%=aG9V1bJBZ%WK8L$c<#i2tMab?2;r-I+& z76A(q^|5RY_AyTQ-;=<$Sp1L3al8c}WKocd?4n`lstvB*=%r(*V39}`Y*Pi*EmTDD9 z4rW2N2U=uZ*b0}b%SJ81F1hRi*M7b6-;DX8yl^BZAIp~i4b5cxz5p3gY3oywcL?_e zRRPDvfL_z-`evWQ9`eWl&#b_CP)9&3aEwf3g-+4vk2I)OL^cgs9?gY6BQhoin8X$r zOdM_FI$)X=23wbdXMBq<_&HPt-+=igbuRt3Cglt~m*z{LPR-(U0FWA>za*B-Hc>vq z_x_B>b0FSzrDThnE*-#3Nc`V0wf>WD7^G|AcfqCJ+F3X14DY>8xUJ;%f2}_t2p|V! zikY#_YHe?D4V*eD`XPkuAfgVXAIhFK<)_c#1xU-ZIl_IDBa?h^8#@6=fmsKARQ3iD z{ER&tFwc{pQJ<5Hr_agmDV5}mkrQMJDUAUAsJim$3)&89+*L1YP6Zkp_BD0HTu~h0q9w@^rjH_X1%m~yF2!uqTmBhz zMUVoPX)6Pu7+hl{BY27Um(Hhax7C46VC|T^n4}>k(TR%ny38GT zjMW`tX{X6jN>n=K?r1F$Nek*uQeF;-(;a~z0lZaSC+om&jmW#HIDek*023UbS35E| z(FpNS0C@ub!^!f8Gfl1sMz{}Vg}P&^8qB<)8AQdz0Y4468)|A`!%n$eZ&LmTP<`qH zQ=6S)vMkze)~Ls{%F)nKyPV0Q_bq^u5SitSDA8#=%IXp2^?+MTnrJo?#Sd+w>M*4U z?n#?szc1+gQOBkzk;G#eeFu=|i-o`wprdd3xS-*icQ~Z2K!Mf`J(%3-o|RRS_T8!r zcsS{t@uTTfiH0r&5j9N#iGDdFMtG=JXlmZ{9fv9&RS&X*si1K>QPcJSpg}a$R7{c# zNzOTXc>0`Hn^JY{u0SXn9fQ=}!+?ylWTi~oen{Ldz|rzm#cwDC4cWo<28h@5#B9;zqeDsdENpJ6Z`JVkE^22Fk4>KE}$-|QB5JkDF%l@#WlWWf}aCA^~9aB6899o(r*8ee(GK+ga zsg|@EA-F}64x~Cnr&w~(-aPZuqEaPr$2mTU0~wpVw#y@Z-7u!?!8rRJ>`mU3`47)j>Vd93ow) zq)zxaKTsz)M^Xgq`!#-6CPd&X3k}9&0DA<0O$Sy4{6&8yu`F%_4@upZ%*^vENy6h7 z!0(tD8qcIRdB3K>m8w4O>}8K&Vruf~*A{r}JGgRFV?gIs8@bnnTU6+XbzB)x4acr;jxMTXOu8}hx*X`sq$ZYbD_1% z*d1gDt^OQV@M;e?Sj;-o%9>wSUO~NmMnn#*Nm&*=(!Z|U?o7((#om-`h66OievJz{ zu_Dm|V2G{?u#mj@bqiZ@aEHx~J-?P9Y&Y<1%73-RTmlLVI}GHki(gU7F29gru>M-P z$LR(Ls6o_)z3cBSq?hOZvE{7;TgbY$U+Y1utCERRTHJ!0p{t%D-bA*>%vywn+w)f%CNl%4I14nabsYM+oZm9ACi*p9D|Aep4f1bHq&XD|K^@x zfp}tAts!xYStV2pplgJet*3oM8Lvwx18KzIS_>|dGkc&4n3G^`nWP}azLV4!sp&K+ zp2_bvOUunBi8)4UU?UY+<|418XFY?r#p8Uu+Z9>{?pt2=4py7Am~J2N@qhFv$%5D;<4 zyH06q-d`%xje?2ucKkvud6JPK9VVeW@!R$SlV|P>45)1sLMFN!`N70-+jmWlYcFi+ zzrcx;gv_{!-*$4p9}eslor>#r9A!Z^#l0UYHf1EXbG1b@wsx@xxL_Kj!5qEb(>d+e zG?U)ky37k_BcklQB$#_}4>i5(!7Zq2P83rw&LQHXd69R#q&LhkG*7{Sz=`*TMx%rD(eI$lD=-_1O_$0@yr zr!Fqj&&&EUX2N{&ywLh*zy0b}ek|I0&A6KkW{cM@N38Fi{kT=pXr}J` zjMvfEU_Zl?3QevzR*>LD0t%%%9-ACk+GI4W&!ALX<`u9A8Chtj*v16S3#+LFI6UbsoUbO13dPhiMz-%<;lcC^Iw5ZzwC-x_Ei20BGCD zJB>hC*GH(Q{IsSoGi~^OVWVY#p?E<{B1l0f2j{cA!o9$bmKt^V9SO6Bq(+1rl86wu z`QrM%>OsA{hBNoBZUNdv-9yuc-Jjis|;peZ>(0ck1dRF%!I63o8Nc|){2bYnbptl*H455q?b z0SAas4rmlGgX=xE*G2XOjCQP_E^`{#Q~qM!p|P=Ng|tb9p~Lq`m^)D4X@013GZ(RK z6doI?*(;d9ruq>kUr3ur2nBrX{>`EQMFnlU&)`4J`m{*ZS((&e!~E#rbsp z@U{$b_qeW#LHpuKHZ)0BhbdzwMOZY*G=TlJkS$zT?E~D<^*9ZL!yX8kcLt8}} zm^j#DofV8=*wD-YvFM?09ssG12zg83bSqU*Wt_HH7EK3p4Gg~ZzCP4lapLzzmo^XQ zkwb=Q4S->UA3}Jg0m{%dy$xoeQtHfFyk6*Fb7RYGrzNFs%2^s@*GqW6=4F2UrwLI?z5ZL217& zmdkdeEyz16#>ql<;b3T%qU)JpwCZuH%fON1jH6+VkWTxx-LA+;Z#&`4$VrQ0e3@0} zNFKh{F8L(K`#xBA+~AD`?}?pS(<*kBq|B_TU_W*f)a{V(whEz{Y>Vq3Nd;rpA38EI zGp4_#zE4#KF9?60{N#r&>7-Dink#v}c*xwy=YgV^$+)zehpDO8d44Y)eQ zz7Gt7K!2{py_UatYv$ka%B$t8k1oV>C0);YXj#w>vPSp?8-)35DS`Sb;Ev}QA6 zYN2sQ5wzP`ea5#NZz_@0u{R9W^%(ha~ zY7!bL_i8d}60;kjNeqo^YGR((l9?1>=|C@G%@(kb)7A{9%2oIBgIOwae38@C2zdeZ zX~P;ZSA-q-?vIgv>yC^N9wy*H*#OQ`tC~&xX+?r*W29S$+|sQ;W`I#cI&nc-`efpG z!%1@88_}#4fNlN!7oX$JdVN{##1GMA9Y;uTpocNmZPCLMNLv^@=jrnnP*`e9TK{yE zqggxr)a2w!>~n0bvH`>GO8PP|^K`bNUR+_ijp0nX^f8@FPd~2MDmm8Oq;{Tev41;a z+8JbCS$*QcPq#Exm20NST9vw6e@dr<>UJefG{?YZY#LGvrygkHc?D;#zP0im8VutD zcZGHkV;YkTzFMwxwBUsC^o5Y!4_x;gV8Kp9Atf2C9!XUV$@tDu`xYG$$8UiiYey&2 z?&(LE#xnrtj10pBE^nbuylDXZyUA%KD_TG6tK?)e#7J&r%dqbIc0a3VAgSnNvd(q6 z*-{nl9c|-ebgI#P%^vHVB8MkUgXKiZ=VNg=@b6b`i%4<`NA0|#J`$<3K8n}@j1xQp zjFtxA=?|v;903U%&e5cnap+Cm92M}4Opz{eHnfu102`iI9IF|8q}wD*YpTj1+&G|A2qqXgfj?& zbqi8GQhRc-g(FUIhEFx{m0rUu7G^~A<~F6ptBte_(!$us@`CWg6`7eJFLMrk*E0rb z)p8_{KlBo8!x49+^D>y&IdAGhlR+N`@n@h|=?-%3@qPtD4bXB6bmQCKuRDFxozBpkwi&rw z@fvU#6*(6V`&;>kx^GvFf$v>5mlp1P5S3hs+UBsomQ9_n_6mQ_hVv@5wGn8^+in7k}WSBS&)0+AGINv?(0 zpcf>0Ca=IH%O{Tc6CfA*8UmQb(nCMsB7fQd;4{FrQ{p z!jw6#ek=~>7dD$aMp|VCO6}R~;K{hf19Z(AN9|~svfn0StY30Sf%QnHJ)n4YJ@_KF zc}=Ida)bkRHhrJ|qy${gku7rZ?zi92so3q{&IX7z$}o4d-}bQ9K7|#J%W(;9gx&K*0t7wOjq^v-;{v;_=1iq zzF@|^=5+;!PKM&Bdis-j{~oEul$2EAx~F6F4J%c+G9nT83a56mNdXT<-J?vaXubU= z4VW37WnTb|QB zsw(;e>9jV$CrSSv6Mu^R5$&`Bhwm%_x?re(r37zG?IjQ$>e%9EbNJ8Y2%Tl!0|JG5 zdk;I3PO#VP1;@1ZL#B{3@uPfZMUF_tUDf94hxV#p7Apo!UhTjQH)acb$_9+eEDNnz zXG6uxNg~=R4hZ1L5=1CS8UT5M!E=r1-9k-Mqb6{?g~-(DK#VGQga81XBqT-gz>dK< z05dK3z`i=NhB(CIxGIJgP@ZVWlMQ(|dBwiW6X|10*ZS6Py}(CC1F{Aq%qrtRZuDL2{>Vp2C1eW5LwY6%a^Np z(l?lN(~xvMFUzBvY3g^86_53Dxm~o2F|LY+R$7Tpi9y!GcOX}HIv_;=MUyxeJvmeGfm(f8v(&6fCme7fBAms zlX-SGjwPaf$UaU%33MM>tXyFr(?26@s>D&q{(9h>V+24DczIm&L1J_zvBAM&s`DOc zQIti(;%B6Ro9m(mn!ai81~1O(Ac%!z%ScL$B%$l->chSsdii-lq%eEZvxB5`>~dN5 zxIq4}RhuD(%bN@nCiinK}X+r%m6kAjNRd(Nn%T^?w zQ#yY#&F_P;qvZRRfuV6Og9ZUMP&|`C<|*GCBEH#^VI8)K;60NhND@EN0*6B{n+Ozd zGJeE=|0D^b1OU{@R9fIpq{+K*4v0TfyO-q!Wa@gU$onb3oXOqj3jEe&)))0V&>Dla z2Yk#eG-F012Em^llYT}vH9w5SZ$QifWkZSQz_zTHAVJ|vRdw19LRiNBKqd&KDmuKX zqp~dOLkjN9$0OfTOYzAY3vR2*i9HzF-Xi+QiD?rG7ugk?UX+0M(_Q!{G!$t;}j^YwOBxtyrNW03rGhl4x^1sFPNy~a9Qx)-+WswE-Sd>m}GZsyb z{$1w?goR5Iu*gUu#MSh&bL6VU*xu1wnU6SIL^Ccs?TmD*m& z#CeMz z^1K7JMvIqV#W4~$rGSVp&yV!)YPZHSea{$e?T%`Haqv@tSN43@Df`m5`NrPUL1C4u zL#+F|cO_Lmu=U5e^z^OGyla5LRLpS(Zi`1U;Ovw7`JcczCY1wJ?)IrzKhi%67;5zC z($-zOzgUO-9rd@f>Zu>P+WxG^jb1C01A&xh`_Qj;9DQ}BxdbmRwA@VWI~6Ln%nd^g zqUBC@vnoM3C$BgU_0XGBD$U!OVj?)(WoyUtGQ8j|nOhC}PU!na5CE%71=D%gA3^BO z!gX7wq)U1b|rc$XuaAzGEkBklO@B zoCapqTkVQtTo_Mb*7tBqRj{Y7b{HzFscUu^XbNVRHb{Efn{8RZnH|1Qh`p%DKrJeZ zEW(r8W8(IVpOKej1b3$^;W2d~7UJRQM|27_4ry74_@$9t?dnszfBJmrG}(*Q1}ejy zi8K2-zbS~uss&snTzXWqt2Y~j%pWeKg|{cwjioT_YRQ}?)LZli6OXPG-^*7@&}why zrOxhP7Xzx~K#F7J{#)OE$(7%^X7o&!OMN`3TF8D<5ZxBIG!ktXHN3L{keIznTH&*cDWkF1R^H( zV(%`H`Ew(Af1(FMwGeo5>{|ahZ7+p*-tk4WVKH?!aFNW{PIo!NftxnyHPijEPac4e zp?u0_GC1^I%=QA_2(nSgbSHb~gpJF~l0a@w(Pu5-UV z-vKhBp}K!!ukd1@dXC25@v<;>c74lq;^x7_-jr%}+roUsNB9)E#1e_)^4_0$&s+w8_PS;(+G5q(K1Pi$nVRio*y^myAV; zi^z)17{!a_*f)qlG8Gr+WkbI)>Ea!(%IP~sSo_2V&UWUeW51Ajv+fxv#0ca%&O71& z^T9#z6T*>k)tbi9tZyZDOM-6J=que|iAlwW8<8#a)gDZIq%|IZQ{OrIU(@_Jm=ywU zO==}fpfzqOK#N`Vw1MZWqSe&$`vZw(vm+f%5K7j41NZVz>}rQH;#nEzqFk?l_0w0o z`P^Vyqg)Ax(zBB|OD7{noognYbkKKD^{dK}mOv_G(XzhCL0lrPDIm_D)s91A_M~m) z7pdGQQaSqfJ7k=kF88{6Aa*i;=y{L^?xe0Xd)uRI#C>C0-ZytDY)DaQN|ghl%c%pQ z)_lPMR^))gyw%(tdU7!c29SHE-8g>v3F#Y{`~I|c={Pd8QTaE%tzR~Hr8)t*JKe#Rkv{C3edmv+M6<*ycJmOs(s&fJsdCIl6;J`4XJt)-zwrFZp(DvfP z*4keuB~wA!Md4gs2hfu7boy+PewWiJ=#W|V4czp z?xxHS#{z&IYJXjWFb(hK*d5^IRl!ua%8}v0igSb$+#kxK${l!3uabK~m%^auBFFb77bG% z&=6Kg4HE}uaNk~MN$5n7GQu%^zAB4jo8R&?*yI@7^P>datep&c@r zIQ$Pv(RG6&F!J4I1B{;R45Z9A-A%3_@rPXFO!S=*&!{4Uk#M>wt) z06D@TOS#pZ{thDz;j9uP&C)BI;0lrv0KWN!pc6GLKoeOvbogu-SE)|Vu+M;in zBE})JShucYlsbpc)*1IUGGc0VITd9yRvYN9X1xc{HH5<>ZRE`x3ts{F46N#R)6O{- zq;5bL+A;C>Nzqy2>~{y|f@?TxJ2*-TGqt2l}P0!J{r8>6kFvv<_ z$DW5E6#@|t&1BpIBRo$dntn=YDus&>K*qlH(zl_zNK^XTG7)R-3JeJVmm@O>;kb-# z!4Qv>=euNsFYv@0h#wDWA{7T1lA2qvEBmB?@7hte2*S*XEOluhsKuOg4q*1luf)D} z(}nM6P6!%KI{Uz6pgP>(KU0slfwzdrxJz&yzLWT2SeOXWYv{Bcl7))|&l48A2dgq~ zi<>0TA`S5dYnh8STGN1{ylqv83^w(;6EiNNO*_T96n2GHG2r4PjTbV=Vs!!N4PFK{ z{;X-pBxRr->2cAxp*4z|gmnRY18Q1vCx`D^gEO)c$V}>1+P2#kL>nbQT4l!IJ5KKq20Kj~TJWVVd+G&SdgjFn`4%18xcI{{d2h~*UP<0!C8GmZy<4!q#>L6OT z-KhVz%)`d2K%`?zi~_0Bz2YoL0$}j}5^zdA6Au zAHe+N<)p*9<;N+SHaDwllG^jFvR{ERY+ZvJ=Bm@_@NYq=%oJG>$A08YHBBbD1i4;! zhv#f_JZ8QF=?_)}aEs22t_UjW z6-S?dJPxsqWGYx{d4y5hiUQ#vHn4E`i(|ekl?5$#P4aLO9@W0!yZgRb_l6_Mq-$xx z<((EIrb~&)*L$g^C5}lar6Sz7qQQ_P)2a#ij84V3L9?Id#cgv$&)eNer|I&N)V7;M zHB!9PINHhImxTTIY>0)=PkbucXUufXR;?x$r$h#s@Q^fj>D>+myaY5 zs-&$#Clcz(yP}R||I&OQrTpctZ~JCCI?wfeN87>*apA*+H$7**m2~}jHrS*gvoSdr zb}DE}yig~OVz8_F{QMyGG>l82ZMHA99;tNKKHJ+!gPwdL$zu*2u_`~Pm(#qotKj#c zTkh4h`Nox-Y3uBm!dBj&>7>yijumaDLquA%mb3iL@`R?R*ju3)-BhWv^ z%5wxT0X{`xOv!^u@*OZJami!9E5JP=PgFscc$Pmcc9|CsFkp5U(s~qtR(aWh#Y;c9#aWbj)<33RALsm6U;ejWefjsk`trZ~>dU|X)t5j0>dW69 z=AN0!GGBQBtqMC^L%F`s=_%LW{px4G_h;YxJ=nrPvs==p-k)&uR9%$16ix2{QJlVE z7|A^i{#RfA=&LXP!B=1Y4a)h|m%oovMFiT70BJfAS%S$xUm*W#SD#Ocvj5Gme)gYz z_2thv`_D{t10wrq$B>+)!JJMsIPx7bFZ(ssj57b7uYUGBUw!$9Uw!#Uy3`>a#o;uZ zU#G@D$b7n}#~pW;6e^wdB|59y^$lkxZA98Fi7WF3=v8SSV=A-qe-vnwizuoe>f(HRONqc~HfUIxL zCl-Bq<{$w3^?v(?4I)zZ;4`VcfoKu>)!G8owwGe!NeGnIDY19p3BY{ZC^CY#@D}8_ zfG}IIxs)u(1YX;uVZni=0=6E_LOs1fdX{qmt_O=v$5=59+NDx$cd=lLGA04^fyxgNHCggBQ20|Xg*ZW4y-@z zb)vf_)QW6u#ZO}^82Rk&ZOn~sr1isLEfN>jaB z3)tbLK0(#*;U78FBS|8+ZDz&N{}jhf@$PQ%D`urBVFHlV(E{bGUeg#jTpm7BaWwi! zUet$RtS{p)FO9#NqU~U)M3qO>b{y@Yi;I$X^jGTUx>oo5K^qz(+PP`DsR?kiwC4#c zld8S6HX_w&zou+}1qEsv_f%y*4F#|Bb%Bms^W7-Fw6b(l+(i0u#WEP%1+VBu)xWbh zO`b2?H9Q~j4@m0hUnBmuqf20BZs7Wt^N$EWHWQ6nbi^O?8m#kUKEikpf&i6doeuoB zsnV%EGHi3SctF|i0AogjujQj-FjaY7o21!fsxNni>>fJsP%ial3h!lq0eUMpOE{hv^+Sb2>YpHXl5hd)iX_B$ zsk`7fx)e{nak2_I$VuVegyQ@ZV*7?FOLHZp!WW2ZiD(jWWr1EB`XS9Uhz+H(SrBHJ&b(Bp!>Hqv zV3B~@1A)3xyvSm!h01$C_l7~1Vrsf*E%hkPP>2q|iG=73h^Bhu>D^D`1ZykeTEvM@ zvy!F;VgbC2=O#@lFvFi@^14A1BEA?bvThhiSHR&t3tgVOBrL;9NXXWq`b7)=Eq3YK zMc`Al(N9zYt%-Km6kEQlqf!Ij7ZL=H1g^(j5doo>K5>0Rn!SkGN#YbJtpS?mxq(MD zr3v9?BpLA)G|k9n`YYemxW@Nl8F!=r+ZxiE|2DvF@`+jA;LxXCmSC6O1Uza~fWf1T z8VaAd*o1HRh>5{F(Q9w`D}3X?C0KM+)pKYOG|<-eg47oxQ!-6OaymlxItd)X@FcH8 zLlPq~1JpNZ*!JuA4M5dEPobk_vntv9hJX`Y=aX}p2#h`WdVP`oDj3ghrbHKpKFwBXg!Slj{#bO4DA}OPYE(k-2?+JAkA$K>PzS zcSo8#-oOFILX#7~LZsf&44rw_7Z}5mc3a)-g;1*(Q*r8?{_ALBuoCx4Zms10|?iGA{^L0JCcDc%?o!`1<39 ztXse->z7WuZqI-;4rUF}!*Qz1J^hTQvZ-*@9O?AHFqEoqa1>3D{}5khnko3hN; zmBJIFK@Nnoazh8{FwIO;bWx*xU?9-GMU@;^%xyVqzODeE(YXTE8Pq!7F&b*Q8Spv! z-B=i+NFI2X?jM)Aexc#PSpzJUmb*I9u0jS_sn!<|crrBDrasvhMFwdJPlDa0oI~sS z^S!42#pkegndY3wLxSCG(v^!cKLHl^y0Z?Xg7oyozNRr*Jzn+_fT|beq_?`JKJK2r z0AvL4`i{6Z(Yx|(SK*14Uz-7^glm{}Q!slrVy0@^;XXx#&AJ$n`v!zbjj=at7ta~A zNx=Dv!{LG`t1a!&`<*IEIuY>ZNZMLsKjt)~>T(CUgnhTcAb;E}Okeu5xts(GFr@)lvr- zDrMVu;B&`JE;a}d$@C$Or^E4KvkLqglLI7FP!X&8jSW)ZmUI#Bai$)_^EV9@@3p{> zo0kcAgLxNgPi2}B>|lHIv*$79f#eok8S0)Ai>HBJf%~J4z@UTXP%-2eH8`4NbLlwj z5XXcXA}ns-vQPL0z(S40>m3UE9xEjsGXn7BNQdFMDr-fGJ#K{U4gM6jc}1eivTw@%bGy|vXs>1gId!7H?+BO4fv*O!*!WRNO;!Mk4=5x3nBfW z#)3Lm~eIMCaLP-%E zyZu0y6zG!R|Nh9AvDgHtq~zX6g?GxLhMw}Kc+}U+4DUu}yd&X083=ncu9~muFvue3 zpr7=%G2Y!?Q-ZKif&BtE((PE1pJY-}$aFutq;NE_-DhV4&9U2WX?k?^1&lXlDx`iK z=^{Lk1nDATI>l-@OE zX_k6=nFCWnW-nG_8abqP z?Uh~c6+_$KTZ%Mu@&0LVsdSpXK#|itR*-GhdEkw^zAKbf;Rg=Hi(~FH;To3~TmRZO z4ewliAPa;wKWM7V!sd2@khocVqH%3`SPy1X2Y zV8&ze22BXT=Ou7eLR>iF8Z%zRLGnV5r7Ce^!a4E)K;&oGQm`=lL9j@Y^h5H_N(WoR!pHSFm(Ff6bf(>tpewJ~OHoM> z11*pUH|MB*6fc74{rPVjkH=HI)-S>j$j$$fL4!sEz%a^ppIJ z<&D_6)0_t&HpAtd<|D7lF!oJs)H7LNwjl--u^~=-&Vh0~iI93G7lN^t>Qciklj<0| z5)Wpo_gprZj6)&7kdcrVZ$b_qx+XE1m9#P`DZJQGr(g)eng&S?>9u!K!g04C?trYWQaSv z&4}A(9Uld^J)Vn!@7;@unv@0?hz&DHp+}=3axT4_JO{+HnXCaGNJaProP3^sb1ZA% zxat<9aWZt%Br6wKNs9E@-)q2|K-$e%`r#J3p9=G^fFh6wf)ai+*M%TN<7%wkf$;@<+@Sl zmccXuV6)VLIgil39^?=pt5(^wx}QzAyxK=XXgx zuzaUkkxfaH^64jaiDdj<=70(=gqtFVrC7j%gYOTl5on&AFac#wLJ4VwQ!Yvvf=GxH z)~h04t2L)X_?H9XgCvodh5&?&oNik@JpHudRCvC}X@pl@+W#mSFjJeA4Yx#gl|L1X zCd-Jb%p~9eaavjuTZyv*(|As5DJNo{fdDCSC?}LCwxB)pCFu#20qXShMayYj6pM#s zq@}U}T1it4^u}w|uXepj1=0l+8%sb$2D>bz3n z=0|ZlKxOkOhHmB}W57nN)*PM)x4S|TN;}cj{BG(1-HvkgN9KfRa_$lztLn?czNb{+5$sQ#Oz??*VNmdYbN(jV< z6`HaH>Tqcqttl(uCgH?riyv5j$#4T7)B{}dRd-~RF3kwUf6~v4R|#Lv{9=~{?K4ou zz)71pF8?QR!RzQGOjMgXV19@YULHef$t=ch2H7n7C(dB5c^124c|g_0p&y2*mc`C- zo&!zCcWJ3pMMH~S&O|0@m@(X71B(IEb;>AkGY*|%sArZ)0|Hn+#67Wlt^P9hvnY$5 z$YN(&sk|4(393TILdpT6mem&fIf&&W>ImHUp6Tkj8L|0C}0UToR6JfVHRERAaPQP7ttgLBSK z?m2l@d`BGU2OInc6vQVnRz&1lkt;q{#Ye8a@~OZEk+x`*mPVwoF1K#gJv4<~mR)_i ztZMOQ-=~H~P!xUCy4BV1f*>f4-xxC@X2e>VJNG`7U>yxvL8#wRw)ob2F#D^(KGZ(8HiP7F$F>~0Udgrx6C zSXHFBaOd03eNJ0i2e1Hk-%1{uqBZXl+)aY2amcAyI_l-d|46HRJ>ISQ_^LI1=nMU!-N04FGIcf`}Bx(VcV9@3cAP>Be)1at;$<~|sai4d1vNe5wL#4qx z66}lEoAABsxX=LzednwI1_SJX11&~=faGtt9K;96F&x!yOzJo%aQJhy?XKzf-3?6{ z937Ww@q){7k{o1K;|{jV%ctKP0H{(tR@5cOws~ML-_I31yulPbT#3hg;2OxeA)$p> z&f%h#RQAU7T%Z4zd^eWT-tX~Z641XXKWPF!gtk1g)W}XCBdE*)hEXOxzd!;{?aVAO za(}IgRE8(xu@eQ{AITd zh}!4+A}9)SCP0vm_9E4bxs>8!1Y&EoZbaV zes*avtB0ddwAqw*o>4aMMq`@D7LS{uOILSB3nJr%&gF1m-ke@SQH( zF6p(>$$}{=JoXG3gXb-Zux-7F5O+?YPg_}k^TFlN1S*ofBE$s>%_LXuR5-|w_7XBY zrF%cL034p1@y+;ibChTNwK2p>m7lV1+amHXFPiS)lryj>}rLc_)pnv~+Bg92o&{kil z@RB3m@ut%bu1Og9FgbD<2?qr5tJe4z(}1wU86BEvLF}nMWRIV5Bg`scRGo4tY#<$bdb(`TpgxE-VGf6uV>ai?v6H<`6b3nbCA34UDD!K zNMwU~qHXR#A<7c3>GdJvK;qpFa8)Dgcdg^~U*9X!w+?la9yof%7Kk94uV;3VA@k>| z%I4U3bP(%mcK=7)xwx+5Xf#~|O_(mX1%;gI0=!q^@QTDQ1FDCaPgrn zOaGn3(qV2fGaWi zBIIiB>vC+xBq**+a`8>oa{Q~(uJ)cL?tlFi1i(my3m{sPE+2o&`+hF22f$wgK&w3A z{`x=*JM-4rw{&o!{}w=jD>9*p|Ma*&n*J>%$J>6gZ65M5|E)byElm_cA11(=30Lip zlQ2Gfd}MY{aUl60mtDM56_e@*=MIE$Dg3zHq40Emq~_5`of&^z{#e664L(i;eLG#Q zMIR}`)=(7mG(K`nZnQ<(`L@Dr z#V#CwTS3mm{rjy&xfdLI-$Ix-={3S{f2gRx`p>U;)UQMgjOQ0z?cg3ofBV)y8l6eW z0Mp-Z=o}3M1_sU434+;&l}w|u1XibceEPZto_bSePd}%B^@>FLTW!qtQzv>f&^`rRwPPy}M^taS^pf6r8Ne^GPy zrJ6I;{J}gt{mGu@#ljoe9p#0KntSi5Ij-n%mjh37+*^ihIC?vHmVgL9 zaCps1Ub`;+i72{?WN|N^?5&Lpjc?d${+u$oLfys+I zUuyJagpW3cIiy5Wd0G&B0D9|9jA?PsA7}wOn}_5sFYDsaJS@6wGYOiW!ATB>58#qg z(Y5SaK;TRed_Da#sW*lNh)1HK?iji8UW&{8lhSS;W`KU8z@Lr-0|hhIg#m}A$&waD<%7ju%_C*2;X zmRF)3G|5+&pQU7fp>kw(U_1pHfWiU4oOt7kjG!&*=ff)^rX1&04TBq9KuL6YhCqsS zP|-M7>}yditBS<0sEC9c0XC$ev-)D~^d_;(8@tW5C1mQ;wn3x|{54yQ2CZ4#<;3)F zu54H=UL2!Vp=IxxJD&0V@4k7nM+gFYM@_$(a)+OQnT@}hepBBFKup>;r;H5`W1pP* zebd4-h^!>@Z5+~8nU`DGBe@lkHAnp$)66LI`i@ce&E^3&i=GQMtZ-fjgUA3fUzZ|u zC%BEwx1I-oN%K&Y09+1OzP%w~;|;z@@*Of6*OJI!X`3?wn#mx28#*_jKF5B;if%|z z1lKYEOefbiafpcer5K@Pnd=ji@n*gaIKH!8d}G_JUKk@v>7XhZdiI6L2{Ik3k+6{T z$h$6Q_qLF=_35K3rJXPGor^X~CF+7hKp=vu5^iK$7gk4Za(hGlz@XJ&hn34M&x?b# zwEy{6)Sb8HOQ||pfdfguv%d*2v%aK-=S!1aSU`$X=E-g#d-9#tWSvG}ak5;VY!=>I z5z69HuFweSU-x=`p!eqH0~LI-JPvv!qc}-vXnT|)f_K`pc@dm?1YF5nymKMKGoZQm zI_=r-*NztX@fM+KW1HE|h@KaR*JplMI!`i7p~`b6olqASE>N#l%4ZkqF+bYF*K~4~ zjtDm7FCBoEy;AsvcDPRV0YCqI9f6I?cc=Gw5uZe563gH?dPVWr@FfeqB5BtacXx%l zJw1sJxjkifSd;kq?CWOoyhYyyGJIYre=kpF+SuI)H_NguUQhwJD;;{fZIa9?MS$xs z1>oP{m7U=%I>X`KwB6?g;4}wdSW*M}`~19%fY@x8Um3k$viYzW%{;e*SGMqG(L*+} z+8Y@yuN2`jW$s2FBR)sSvc^(j=p8;^U$XjWhLNn`x;nP~eEth{f<=R)5&;}6pA~R_ zzt#JTx9r7`bq#)!2|r}aF4ikFhfu62d8khG%=k-nWyJMkxz0q-XTIJR&Z;fk4-gP7 z`eRiYwKQ#>mv?>jbU4yyIVIf9tJ>rw5f=7hNs+xXW%5HWKMQdMuX=y8q1YylA|gwCP2fuCj9!$*6SbW7GA zoUxJ-PSR$lJW5Ljh-SZ%P(%^$5nQeWZ>-SSI4bdc09_|e7#YE4b_q%BT%;C#$CSY) z00VrT8Nux6zR*?_u&HJ-(Dz8@yYF0ug;BOq+MKq{xf^37b&mms`GRJ_xJlq01_~xT zaKlq`Gl92o5}K}~AA<6KK{^MHu8izyxE4eFP0kMZ+70MyZZgB;uVaaUV%AXh1RViV z@FlG-0^PxAa>t}=L`Z0b6Tk_V;bPy|fye0F&=M=De0Z!1Qb~yWb+WB+YoRDUxKiRr z%Sj?mLe)&#>MZ(f*lm|@nPUFdnH*_UjYVy0eK}Ye|Ly2Ac~_KVRut5zh>|$AO*W)> zb8dkeCZ3&1QYUo=2ZuA_up9gkhZ;Inu0Hdv`{Lpwpok=g=5fFNDrB0|IJ`AOOE%Uq&O#%T>U2wEuex;iYuQ38}x7(%)GAg{6!1GQlw)Y zhU&0Xiy9f%5AX<0s-)i+?dp4v#s~;@#6gAnZS`#dIG1D7k`bBX472*WrK4hlm--^_ zFTXow=S4lfOUKM@*`$ZL`=r;pxf|0agU5P4v<+MYLHj|+AzC)4_kLhhm~!qxn7I4S z0HcXQE=Wo+Y^?LZ{~@OXnxYNA5OHgp?yUpQc6B!aZ1=;Z7&tBL^O~LBYCh*)NODP1 zV0em(1&)3+X8^)qn{<+`F=E$QJjw!YN6_dNfW=EQL>y&;%u<_Gb9a~YSCrn+99`9% z&3&dJDNEqY7XTyN?I^oTXK42}run*Sle_}ePJ3jG4Q#{dzS!1?=6Y{)--aZ{#-s*s zW{vBB9nOdE%}2YV3$V5S>3c6RhxQL9;{Fyaq3XrizQ!haGC8D?HoSD(f!<=1_X}oF z#~pKDkatSdwy)>ZX+PD|&c+_2FTv8w1Vtc3{AWxa8B%#H8K6ouJd6RKCJr zc~aTOCf-0}ot4v>be_m6cSTb7Q!_6stH01WW6p8Q0s1Ijzb38SMHlH$a_fEds ztnq8w{);u{%V){#OHf! zuyWOKuCvwBxj@VIS6)KRo5FCFH5B^FlSYMvn`Gzr)CTcJ(Aw_GJnxnBrpNdTo)HEr z4@gbZmR~p-D|>}#b2AKts5O+rm*sNi5DZ8vvtu><=GqA4Gv$i{fi&n5Ku?*( z*N>rnb0r`$B6}3zt{R%}kAf?h3gW2kxk`XD3cz@x4XxCJy9;6dA?E2nv;y4ccjf=Q7Dw*agjyDJpcwjgD+RCefL(4O4 zXAKZ8W8ZT^k6kaZeLgU@cyeZn(TSB$f_6IbFT{PeWyg&DyxGu_-tWmoFu@(l(GTV} z*|OJrx)*4@GH;kQtS&0tO9x>XZQ=kM`VP+LRl~thfEOmqsz#9aoEJM6yt4xT z)N$N!Lz_WKRt^HHa@soJd&#l$G}XJwvdJ2Gm%yPav>h5?T+1#`$wE@tI4X2#bYds7 zPthuwOdf078*0-ij1BPU=9xq*H}6JQOEO|wvcIi3a)QwJBZFahRGiDfs&=r2@gPS_ z$qAIPR$F_hF_<;_0OYR>a<2Cv2mb=D zNJ?_UAnS!*gV0&qj}b!`F)w^lZ4=mX zL$&3o0kSyA($Dfoi>86?duW9iF0c*FGbNDC%m=JEuuv`E^&BsV5Nv1VSq39^Xpj3d znY<^h|HS-euXem}SpJ6o7x=zWk7qkZC8w0s_W&0Hp#)e2k9~(&4hPY{*_i~CIff6g zomxh^v&N75ogLXJp1yh*-wAUS;Hm3vPba4I#@axTXH_i%I`M3z;``x1yu~SZ+xv9n ztxngoBgioFr{d(2q!!Q%>74 zh9A6nQ#bJZVWf1N+T;(QbEx%N7HSSt;&U2kZRpn-gso`Bd6=1v@)ItP-(q+Irr`!) zEF2|0&{?Byz{s&P-vYSQwC6`)@Oqtq+{Yu7y0>O-Wf}u}CJr(mhXQ^Mnmw;fDA#g= z+t>z5ipx)y+a_aoaM(t4*1LoINk?OE&kRC$%pJ$%#bE6M@x_4#+-N<=no!>bJc?)C zQZiY(8K(z>2f3^<+Z_lgRisVEYPOPatOk+zPE18Akvv zq~AB)9$>C;5SUGQSCd4$N{CqS$7=3w1{QqPy_*8%5%K>=nZsPtI@7j@`0d!>#>!FU2H&H z#a&tC*_9arZ-W*LZ?mVSKS_yh$zov;csll{j7RibuaQ!VuO%XaKXWScDIzG5BJ$!BG4+gAsKkCw%)x1>J@y< zsPFE8zd%w-W`3w?-)i&GA==g(cw^8qNc$aay}-}IklbQFmPTbm6vJ7Y)1%EhNeON} zY7#)SvlNiHb{rV8O$zk-#aL1T=09tmQ^9}zX5DPUSn}e6cp8%!rX(&j>*SJ!VWH;y_9WlHn*Ek%#(R%s&x!y(`W7{ z#=r6%b%+vq3_Pe}gJAX6kGY^I7>KPof-Q;R3Ie_rB_%9}(Fbt5sr-#>PJ;8z(!0>+ zq>RTQzD^8fKpzAX%{c=pICRh$0e}SXz(8;a#&lvStOZ154dpJ;KfT1ROKU$;y-S545bCo<>$8D@GW?_w0_-1ei1jlMald0L4H-_t|V;Yw6 zo_Cfz-bybVI+ya&0UZk?zv!_DCTT(g=xn|nx;8+V{pa*!?<0OP zM0L4TQ;SW0Tc=5KW5mA2r)8Ww=_sMq`#tIkoiH9>zS2bGQ5r7A@ z@FB&ir93@bPen4O>_)QcGq##f7&8t7U~Lr~ZuYDUj+8wyw$C+fJfLfmwj~UnGI@Um zvz%-WCJ9@Qwu0C(;Bx0IBzaV z*T-;jn3UF*+NCOb*;zHl_#!B<;!Ey{3WPsup0YJKRq%IIWNg8sX_uL`IzwpcQ zs+@ckXCJ}IZ!m&uqz|A+zQP{e`&{-0WtvKMhW72*3DRNT#K^y~)((x@SD@zZ6lY(X z<7$Y#E29gsb8i3Ej?K3o^InXen`HDrW!rbeiIGmlYXNKD$=OSEa)h*9@g}w5WG}G0 zvrdk8q0{7s8r_mcet2Uo{3P*)#g)8pL%nRZ$>TI;wE|yruA~b4aIU1!C(A5Zg`Mi94a$5gP9HSIt)8h2wt07;J?Dgd^X=|tTripwT8IPv@%Btz_|~LN$-Keq z7BBO(v>$MZ^ftX2ci9wM9xX`6BI`_MK5f<7WYS`Q%)TOBp~VMy02Uc86SCi3`}AW# zuO#L^r5t2O_k6EVQ@((YNP9X1^-0&k>PE3jR~llp)uaR2LUlhrN|1yT7a0OSK4-%D zLJAzSfnx=93Ap~F2Togy&-CP=}=3@qbQTDIV()8Ww* zLOey@!7fGPGLPqwtf@X!CC^~u+txg^`F&cn#lcD+^Azkx$6;HNf%{4a_VXj;;L zWWSfVVzVUb;{%mpus9Acz%%>FfF%}p93!RI6m(@^vNMH3p}VMTRO=Cvue-0B*PhQ zNpJt`n{R&c2Y>Lt|Hg0p;y?V)Z>IC(TijhS(L`?E0E>uhp|vmoyo?2gV}WgRpa!Bt zL}Ri|w@s|`&wsPa3-i!ylXHT7z4F0ghb<+@{fcrCf%%{QRo zv+dQ;Z|C7a>JQn^f0H!-`#<@Mzx_LZ{-6HMKl=xNV^X_s?uLujS;xgc*F2B=W-$Av zf}hqv4gZV(_^0MC{>%U9FaG4W%x?elzcYWO_0H5eHx|{6hvk(93$!cV>n(;qcCNf8^8F|-zB4{n7`AYuzg8 z5}fUa9!>k_zyG^v+TZ{2pZ)P4-^g7HLUcirLtVFSUJV(=e^u+!cXR9h;vfE@*1GuW zdh3#ny}j178l(kZ#a^vmUOZC0e*T*>(SGqezef}8&wu-`|Ha?>dob+C_HKK?CV>@T zUAv!sf3#*LT!?Yb$ljEri;7KK1WeL-^9YFl%<^bKQoqU#CoD1L3PL7G%Z|;Tn@i&Z zE5hOF>pq!0o$+i>M%tNH&kPjR80;A$ddW!0Xzi&L(tO$u)zK<*W-Q5)s+&p`$cvc1 z>mKW7;(w#VIYgOV)qrhjDo_`vIGSi0)A*Kf*QA3P1_M{Z5ceSPqNC$jny@Ik8w&`A zd99)f()>kib3%LI{y z7gW}Lhcgsykzk(Elf>2@4Z%Y2h{@!W_fOv(2KY(sXz>T)z!&KD9<{UXi+q1L$=gBh{`RS>z*B~x^yxlN+=Vw91YzaZj&X!!w=rPQJxQlT}yZp>*<$P<9cBd#jCYc#(w{aMB5; z0x2~BqrA#V5W1&W%bCqrU5;aTKq~L@99PclsILy%Rg%)e(3H>0iF7%x!8|5=hKNlb zaz1my_NShCUXw+YJj1swA0vEV{9pFbwCFy-x1&=MzY5)>M~XGPYwBr8p>3uq~} zCbCVY8Ys(Wg*h8tSY-HM;U?pOrr8}X3^NU%Bi++7{kRr2IX@^bdjL>Y_Qn9)H?7tW z%H;&^Z`CX`bR+r<0VUAX% zZG%UXcfFZ`8wE~9<~FYdiu{_8MSBGxkE1oK;Fx35rhOpu5bvL4a&X2fxu}@(j#vl^ zK@msGT0e;QE8>-CTfWcXr_!6<>BKr^Y-r6|Jab@1{kQ7BqmT zYm5^ZAk_n6LOqp1kVAreT@Vegtaw1|qcZIZepNg3-b0^17NFxOKT}`L;x+9&5*l7; z2b$jkD7T~3FO=L0NKX}?o!%!oAj$ECWTqZgj@(p#aK6-J-BvX9Xn@1iz02v3@w(-` z@{~v15nY0(Y4x0CHQRLGWF~e8Y6!9-$>>h>ehH~LJ^!jaGQq)+3jg%}0S5t~QL&o_ zZYMMm)Og<9c-?RunW9H&G(wn_w1(pldb-9Um{d<+3Lfp9%%tdvI@ zFP8)Q8O4AI2tPPR2BgDNai9gEq9s=Ser?Lz3^ylcl~;z4gFBz*#IJ}{nHBJwB zY!LiTbLqyKf4|asF?C+J?mQ6dm<+~;sR_pJ5|Pw2{GWabWU}(*-SJYU^dd(=Fs6er zzo@^-e%ZF*iD$;nVK?CVdDIXV21$FN{Yl2%U6D>dyJJ#gR9$KYzh{yaytGS5tQk$E zj`u}ScQ(6cKD|rYuFy4w6U)^Nyhu#=+%R)Zi^YjPd-{Evt)Psj89{?3;};k(VvQBh z1Op%Ka!Gh-*jrNlcyG2VwcRGvo9f?hn}2*cSS>f2IC!UQE^5I;iGEJgFObTI@0;{v!z#8ScYB8Lz4 z)eq&Rmof5CyV+K}S}tJEqV+PiE!3Qxe!1*9;HyQKiwokFTJ`U0Q7OKQixa*vQTHe8 zo5NR!7_l95TPV6dg#&IDzonGlcOLI^-#4d8( z(;&Dr56N&>!S#L28Y$1%P(V9UYU_yJXDCuQw6910w{4i&4o`3Pmm< zVPnDrWlIK!nng0$@5|t^C$#HZ;g})I2SB>QW*TTXocKkh;<4I+!>r@b6RkqR_(p;} z5#hWnVt-1+6;Ne#=)CGs&cFV>ktYrVeLg0tGhxnQ2#5Ln7l+niOG_lcK4fxqR{k!9 zIl*41_yj~fYM7t)9J`S-m@J3$;=&s!p4B#8O2OHJu`VBT^KF*ow7&0daLdMvJpTm4 z7fax9@$U6{;FK$Uj7<)CXk(=jLVH2koP-R9Sw+SfM5gmDISO*M7Q$!p>G_T(asem2 zm37Y`7fH)OL%X6aXK_+DY}cc%oE1JVxklP-L%#ts5X z*vAN=(_@}|bpF7q_}->6D>|g4bA!sChzV<$)C$WwkIR0a^rkG={HvUimALR(bw*XX z2Cu=(28}KUa!&{5mj*K~CSW-5L2j7JN4QRYz<5Q-c6Ut!^KJidb17g}=%4=Tn>P|b zu#8LX3tUlWJUpo$N18)TYxKZ#=z$4wGtO5nw$!%Ugnnh}FqKw1Z73HNl)E!fu-GkIe#Q*Zk;Sgm&3Y_OcPDy#l+i|nI zY>O%Lj?MxZu65cLe2_``0B`{K<)%YLqoOltE>(QTv`>eL1J5!nWCN&nlsWyqjeKgy9Bm_*Z&xH6FBaov{Nc zd;aawPKX>syz@9;KSE^7+NmphP1F|mF*RHb^H)jKMk^u$4<^G)*FaEUEt7Jnl6N03 zcGZze+%ZWxLhf~St&)MxU@2T)hh1LM=(pf%dWJ9k2a9SC=9W1+OX^k_OtkiskTXIj zXmT}7V>|2swtXloK%9`_xkyhDJT$5)O9oug@T!$%olpxreE`{s-* zuvx!-0oT5y?}m;Rumn`cIDnEd_NAE(-Jz&IN-Qk}<}o>vIa8&DEX)VQa>=9lOO^t= zkhK!v%O4;g*&E#wm1Esp7X}CIgil|Sb-&H2hE|ytD}(;aDX#J(gbQ>KZQ=FPk2t)n z&vAgF)J$Qkq9F}D#7;NB>t+iI^GXv=-F-hmrKBEc@wp=llh(+humD4Yh2q;tKAQI` zs$-OPY@7Q$?S=O8gC^L0vXhp?4UU2=`I3x*Q&OOXNcyozKS(}}?u-nuahG~s0UQkY z(uAC?uOTV<2?yTg9G;F#-k~Eq%%H^GS>E?wY|!U7A@=>N8bsPjD3t=pFs&1Rd87 z0ykJ-7&6Di1IBLtnE6~;#4(UvZJe;qErnHyfxpyqESFK z^8;^*y6C*96N8suG&hr|SYhPH3k*g(zCO-@b%)k=uZW4PFz|eM?ai)A!OL}{;eDSU zk9nv0EkhJ8I-}5A;4`|7zQ?-OzyqO9(Z69Ra|q)?bf$XFkekD&k?QNJNkUQypSE_m7lFd{beg3 z{H2!|{_>hD{Qp6DK*K&1*#KwEYsq&2;7UesXaRqtwIvxy|t3|8r`RW(padgH2?EE}M?Y-c#kh9f$hLcMY?Z_fI>#*f1*ENmJaZ zj0=Sb)8c9_vM83BD}{_Hzc2v>o@Y2s!sQ&;zD1Xda9ax?yC%d@JS6L4UnyMI{8~E% z0%-iIcF@*t|Ej9tbzuqMML_8Aj4&s-Y*dDS|L8_t0y;liarbqqYWqxdk;4snll)js zb<$hs%HaC8(qGU#d~V!cZ3GRl`szsXl!^PQ7S-{MFReC#Q{H@ZtpmMHFEtW_zJ-^x&<9Pb;75abqj(TBIz6Eqf9ZEVP%Ae+2?9(0XXg6>s=*N%^ z#{FtYHekstSX1Eg0COxISz`MJ0Rja9i`s>9f0MRR)QdqEi!y{~^K zYV~=#zyAGJkRevz@teHSr-Q`~Bl;Kb=nF=Wdnf==l3Y*mFaJQtMVD@7q@O*4Qk9bk z|K8?XIc)P^{MN`9U1H9d8a{Ti0LyZ3Dih z>7KqeQ^5YVPk%_`Edpdt-BBTOjUbL)bWDzI*^wO%keSMM`JjA{fV(q*>^C}|y2K^I zhiF#=f%9`yFW=b!hzNL;r#!DZQpm=YlAz;pD8k$LhADFd{6ztr)6(P6HYuli7oj$D zG>3)`4`rk+;C1%iws>XH5#F_Bb8-=!GXq~PA>O$uJcgyeEZlKdg*)rQqpO7j_t|n{ zRk*7a9$HmiQMqyemu)z{QfudZePVB}jEU<_5kyX`wDAxcq_L>3$ArMui$2SW+Ei04 zC5TlsYj)snz?W;j4KI?CYQOs z@IfXF&FGb5gZ`(q@evWFp{ZIa&})@Cws4=&RDNcLu3E9u`uNAgKd$*#O@~=u%jC>}v`N1|GxpvIfMiB;6rK<^ zNocFv;q3rOP<66L^hOKBc2?vw7y&J{t_64Fxd=!8p>iU3E(dQ)XY)9ek47@=#(208 zSnS!E34`{Kh{$~luFo-~*wa5g%L_Dl@V&_q-$sJ2RYERS$#{8XCEyboL?~-R|BSy; zsUekWvxbMVwPMxuTo3w(0c6lZBF%`Pm?2 zZR|-Bl(z|xUQ06<f13GH|QgxV-ESV`o5gtCsVYyxN267QJCcW6e` z+g1cfG}!O%LAGf=f}!T``l3!jG-Jzkw!9)l0oew9Ky&A9Ro%egi*4U< zqsug#F^$a-zlLWo6Vb6(O9TjHCp5gx3u#c;#x)#T13f*FeW6ioc(hJ?Ye`cg4~Zhf zp)HSZS4O>QY3toFk;^*q^1DbBt@Q@*R=7;FXe3+GxN&e<+AIi?+|Y1hcabV|)@`{7 z4cC|QJY6SOZvue9Ia+xg9Ad-Gx;d$O4(+t7WcH#+U((rhF25pfs-=rsZVVcOt7HLf zU%jm-b8Lf*$ZOK3I)Ld9rMee|dU~OOv1lFc^xOulA{pMP ztj=UaCdp0;Z34;eSlgzl06xBhM}ND`(*X-uQFAnJl?XzQg-N|--nBgtH6R5is!*i3 z793{~&()ktXpt0jU^yWhZMC30p%Vc>71(hPQ~*FLt#G2~nijy*S+1ng+}K1Sm5~7R z(j?iX)k>Ur3S>C|-`7&Dvgs!!MF40VV-et6X$nVPTDY4Uk^MkVRg6HizknJ`kl@qd zh$iZRVgfEO$iXwyM&wXip&^;&Z_m4bSsai20w>j`T?fjX>wcdD6uZnh{!auUgxeND z;pm&qeq-D`MGY4UQ)=23HAu!JH|?q!-%#S4-2m)lRYjVsG#gkVHI<;YBXS#jG~)TI z;tx}(+*x;Y&QVzf<(0F>))v*pixhg5U1ouY^C`71Mg*K&d%@;~8wDKzn^O)Dp{fA~ zgW@eolde1LzEfMi4sCTcI{%;}2`r_8cQ;h9oa;P1lk$-7YqE(2tcgMS2|` zyP<{tz}XxrJT5UK0VmNp)w-k^RXq$)(_O%6m6wd#*4tNv1fRlK>Mb^I;7!OZhm-(aFJ^iTd)EoG% z<3g4_CiEi6!uw|l53k3Dl5DW9JKmH8|2Osnjl!oN)%YGE_l^>=!Jgx}2D}EyQe&Vy zD70~)OgJS9EYF4mCY;M*)scn3On|GDB+CP!ryBCWd_@u-g8n3o&KZG03KA9rve_(nqOt zO)5P6oS*&}NdY9nvsUzTA$C_(H3xzKIX~gvPu6K&sxs+mK7FWf*3<__}7bNy0>v0Yd#N{LqukzyfSO8KC zeG(5f@vmYc zN9j|~3cTA`JX~CH24iKp%ki7Z+$UhyQ68k!n(nPDP9DBgO>SIq%32t>?;6eK$^d`s`$B~qkL!$hcx7R{o5mP3_#2U+fIj?S1il8u+7*<)nwR# zU0c+J0=2fk@o54^+{ z*IHFWXP|N^Dl+i4_4K11K;0{#E+^K0sCP+wmJ|#UZcA(|)dawfSm7qNo3H%%)`^Y3 z^;h1!0sa}S?Fu$cgG$p8)Yd4~$fC)9DOAhlGg+5-3b(jNBbC!>D)5va#MPhx)rYji5Je zLWh#`^8&_IE?DG-xywOzvL;$d!ps`%okX+ZQ?ndMMh3hp07a*TUe`;Rj12r}9*doN z%HZQo-dM_JazIILN|W!|V(*$$iT&h-j=hpEu*Lyp;zhI55aZjaOZ2iQv^F)iA|qhmXXR6O#0rH=4qTQd zB(qtx$7SwNPT<|Isgw7w!Ik^hn24~yQZhI^VD2JN65jQT0k3B!^>m%qqL`nNmjFhQGC_m; zeC4zbSNL+VCaCFYwkwZ^XD8rAKHEZbAZB=40hgII?MH%bEiuRl(=rMvji!O*(C$(O$!ShKA&AFS6Mw_Hli((l&94wf4-fOb6iR|C%X1C z5Es9wr|&n}^shtZYxEh45$Ay`H~k@@nhrYjNJs#j!9x$4wKzH$bB zj7DbXeKOz*VfX4)O2o`VE5x4hkefr6DPqsLu`Wt?wQSPBLR-4*P<@f*Y;z+=)-eb8 zOE&=b^gVU;wQM|7A37{VV1RnIK;6%A${uro|BFkh?#rd+Qxs&>tvoIk3O|>Bs;#3I z7$Dx!U;|E)o}Wes2#By__q^tTHZ^Y_IPUO*lbFS21H$=XIN`T~F*L9DmkxP73BV&o zh1Y`vkPJtoPgxtSgfVF;~%X+|i!_kpPLF}PDjhx zVGi+PPy$J&rg{Q4w8iWBi#+W5~qxjcFqo>*nxA$2#_BK zuCZpBi$K5TgMM!0RpY=}BejmS;+iml zMnbkQx)8M{o(n)0=aF6$eH`jZdcob|l6TH_a6Pt?IWymRx0DkVnpx~f8t|s5Ay4e$ zq}bw|&~fdxpo#O(y|t;iVvTpshh%ielJd`qL-(TX|EupV*c%nikK6`KBx#Cu&S3Uv zH&zjnN&8M%OS|F$uwxlbe>m`vc?_~e+S_7}hvyD!3E)tc{Eghad>K7@e5#1s05DUw z=P*t`S%h0yht1ts5}rYEq&_pjw-GWRQwWCGhHOWe{l_iiE>F5KMdR!jiZeW}AAQ!2 zIxHJ$AX`QB7&Fin4K9!_F;x+;U4%qo_7R2giCcRw5>0t21Suw#ivyptD0Ou#b6AWv zc-dWRd&V($J5cYP)+(Ng4o;Ot4ftG;B}ZYZw*)* z`1IRBLD0;vn=J+6CQT4(^%SHJ3G6I%tB-q)J;If<{G3?7PAx*!WxdK~D7puLY`|I~ zecUh@sg8HJ|5(+7R?nn`al`LY9<}1#(7|Y>aVNABGvDV_XP6@-+H-`*b)RRu{DSdQ z_0RwD9px1^#ox+8RZ^Rck+-8?_PF19)|rly2+d3Ym(CRAq2aHnW8c&j#>smxpUif*V@*ujVbM*~- z+yOx>8vrH`du7ZNe^}xd6^JJVXy ztPN~h!DHSLf>7UVXhQ>3=H?3jr_a2d_VhU6M8>>)+qb}ZbQU|#L?wDc+&o`zS-6N^ zOPRJU>`}CJ#_^4{-hUkIKaPE|d0mrt!Q4t>131TSboN!-he(vA?W$L#jhjux8&t4a z@} ztYpDE_X{&}#6j?_i)Prf^GqvV@(kiame375HaBgV!}XQcTN>fi9-g|-SHx2ON;qat z`TWHSo)Z&V#1PCkS4cK>NVc}+)QED{mS&qsQD zAu^Ikn^7d(qm#CRYg3I!X8AN2rTfoGcR&Kl?x9zjI*iArjwXe@sU^JY&FpxAEF(-T z3w-@cz2kUP+lJBlfNh(X44UY(($O`gA=+iuQTAY8h-QZsTWRV%H$0xx+m$ya&-j06 zSPNzx$5{03AYj7DvEx@6^Gh1f@KGbXr7bc8F4$+2Cd@mF0m<6J0-?cIzWbFE-O|=> z(58QeKX&r?NSf-Yen-tXC7afw9XviLfcpk#*@!xT4z^@zu4TECo`I29 z9B!^d(Jf@!Q`*S*m0#9AKW*xCw2EX^z1SID{wfaEB;5{ndw9E#B;DS$fdzc#@?DK* zUE9;1p+=84YjNuhUZXKz@R4tLgN0>rdCHW1aUpg-2ZE8@v$X@O$C6wuac#la>cR%k z6zO!7orR2B{%j!4W<$g#O5k3Q%0tdlj8?h1fo7A*i{bKx|fB**^l(?}X_ttek5!hbDBDxHx`-y{mX zg#Ly(9|ZJ)IMds3xnq!FKfI0NPmG^`=a)2AuUJQ#rRH#FB2eV|@Z!-Gj1A{G znq5lc0JhcUib)wuPsR)T)ZVORt>=v6vWaYa(Zbjbq#)kw^x@_ED|zz;iU^9LixKbO z<0~e(x7KZ*fxcW4Z9L7a-0%Pk!)J_UUC_Vtoe8-c_=<2HrVR;4ClC%D;3S(4M{9Dl z(tPkb0j+0`X~*ifPH9DI=xuy)fL0%epTjz_pgnyyl?+N@kHU7hqD6`L>srIY#=<@9uLT8y{#Zw(c7mc|ANf+o2H1 zv1NK$Nce7qq55$%lO-m&X$!Kj+N7%hTTkONSBNVUM=Gc%^9L}EIvDl34*T6iN5&>BD5QjDL=K-#&eFJaC|2O4)LF`T#+Zz4Do|K^A|daql=0#0Jjj>EXq24Am?zYXAYDCk6);?15O5qTnvjP|ca6jVaZ0^i`b39&a_u!>=?`Y(k3VvSb zfz2AP)udP>9&%?o3-8g&G+e3%FYh$^4#4fps|vJM$XQg_w3@7-rla^q9uMIqFd;j!DZB4`Y2q-S_ zIa0;PB+L94W1uV^#eBi+9v;!jWJR2lBfKubI-G-c7*(b1_UVr*HI1f*6;Hn-6It`| z;()tbFk$osi^5>XT*o}WPjJ+{r<(8i=J3AY3uCYuV<+0tU->|5z~1cg0cV3lvC4

      U8I1Ps405PkDO4O+baY0Uo(5FYlOk7#GInnN~9D| zLzo4oJo+BgzyoL}a6w<4=Py@@jh}t*|KkfF&r0d&TBN}Bi?Nf(3NV3M7{s;I9du5V z`1I_=t}JTCzjYj>BGbi8N(P!kz<8hW1QRoCC)T_j1&AuqZia%X)Y6RE85CCgWwD~y^G_k zWnI+n#dc-S_wiy%A6yXwD89Ou7lZ3_b3HUJ6mzdN#o{_E)O%W8c0Pwk;9s^za3vjv z-t*1D?&HS4@qOHPC8wFN5~~K;njN-DvL8#>-n69GT`7!L?B=d~(~XTia`5b#^U6$y zI~9-GqB zAJt{Ex9*F3K*i#@@*e9jTxP%*n!ua*Y=Y|xv96A>VHW9Az5^W*NKTn6wK!n8>y8Bi zsJ@`{L156%l?mezZD8Nf2G$oDLY;7{$V+ZzX2niCA#kml;3X6srB-Z_qCzT-?6{92 zC7yoLB36l=(u(fT^vs1}6&VgzWXs0}*$Wc+V-3_%_ta54n7Pz}LuJ+j*qP}!YMc@% z0cRRU^e;klZG$Ww)yzU8Yk@b8c0#s}@qootr}C36dUT$&Xf$>r4)Hx)uiM5dOi;$N zyG2>R7zLdxB4@uqkZ)*^NvTw&#!L_clW3aUSFK-BPwZp`wtynp&_tN4t1sp&aPFt3|ow+CWU%>H?KyM^;F*&Ye(KpI2a zWItqJaUI&;`uRUB9w_HMSm(>;NO~RGVJ8fAd%#rT;)1!=Mwkay&YP5@f!ZgSg$y4| z-B%TP!9*NnW09qOrsjY~{n)1d+@=7_rxJEeK~=}J-3mV0s4S6hlnt#2=3BC($tJzAHn$s}zGR0nPvxi7@cs#d z`S0cz1C3K?zIMkKku z*0A^)T}a;e#*S=YIuyU9pGB(LVne!wNEpYI1=^yNb>p(Pu&c{dc?>vCC-t72n1(|38sO$!0+Z3`XIE1svS0qyZkpxQQEXwCI< z4fw{*U1e`>c_bkXb#BapebtysjHAY?y%2|>DiRnPI9Ru&{EwiVCj(_ex&`BC6rVeP zZb=m4yGvnQ0Xr}d_Fu}_7oJy)e7HT(Hjq?RGYu~u{I;tGfRE|R^TL<)Aqubc+!x|@ z?>Yv!_PCkxvu_}k2Me!5q@t~K6mQi)zHy%s$~E+C@G>Ek2=HJH)?->MrJ?nYxB{+d z=?6-GccX^1?Y%TV01=ODXhq zCyhTghO-pNiJaItlF>Q~q+LjD4z5xt9EWzGzOcuR3|0bVVj2JD_g_bBuwXO*N;KbC z!;lBTLBf_C{oE&~1I`hifcYa@BqI~U^4%y##Ne1y!FsIW;RQR-VcWOLldL%bn5?rx zCypY+U1TRC1rO@5F`0x=19TTie>ub4HSd@}Y{YdBHk;6aqoO9txk?P+KBtQx1%|&A zK&R!RrvD?95_bPCVOj^qGsB6msPlF=axeIyvx(vFC=&RBp3Hg$(+Efo7-nV92eLpe z=3Cl?xh1{GiG8>~YMBuvQY2MDDS$7?{0OcBZ@p084>mS@A@%(6^`<-tHohHSO0hSA z&7P1-j4h}*+k{S%n4KmpMkYpJz6V>~9jxW}vCqgvOF8jnbwm*cX*U%=$JnEx8&PxG z&O(L_m&hVbc8$rn{$q#2FNEx9+;vK4cz)nH>`1BQc3jc`m*!+2nh&_M+|5J6zHE(+ z?b_^7smX9Rm&04()V6$vQR;hP7zXTNsWLkWEj1 zGh)=SOl%Eopa_Q=$vIKT+++otGEL_RTyq#{QEVos5yrr^==@T9s>hyHsb z-V535K;%#{!)L5zoz@~Js> z2R`4pI1zT{L(VAlV4%|z&|C+DQ&~{e4ZNdPGpo-+*;1lAQ(QupCDk*9_sF5la}`aY zGRq&y7U=b{u^+1A9vAjPhjmRbr{B^b=@g7g%cw$QPD@-$x&~e*kBvngT;_;iMdMUO zdA`;T@QzmZtzfcav8cGpX`K?B$=Zg=LCBT?xG8Saxuvei8(&m_hX>Fb>j2aNTm*nR zvE7>Dy{jsNPb5@=PKX&myrM=RMg#Z)>mswF2CI`U z?=8>3+cN?q@d$BM`@YQ|fU%XFL5~FprnF7&dZvuRbt6a8k-L}C{4`Y694_d?~2tFAQ6rYtDSdfN%rrXMc+Svxf{`!ZY({e@fHpXMYNksH6w! zAt!dOC!Q|*!H~uYy=M}#So#;y>qFkD)c*C<<1Kr?AKEc#_)Jn3O#hNCG}kSE=Ywi1EKgZy%Jp(ISIm*-f*+73kijJl_?l+*SSiQ7Ubx4a(!Vfyw3<23 zG#TEE_-0V+2RgJ}Ps_4>$aXZHpJ@h|gMk5$)oq(6hlTd8v&t6G{B_JM2XDQx{CK1;n-=IxsF=CXj{982hr0_fg@XWQ$0trOvzj; za4q0xRB3ktGRR6ESpgNE9z8@DwP$cK^22(aE(LPjO2PCt9QQ+(73rCl#ogUle9vnh zDs!an894aJi+D5N0&Ar27m+a8aNs1QU&h-znWdU`D#nJk%N?ml)>G)y$%l@TS%YX6 zO*M^%jaJS&e*gk9?Su*Ji(S$IWoZ*w_c^Hw$I(?&CBt@TYXBv=u537a+DJ9WT+9G0-Q6h1435}+PrCZpd+b| zvslyC=d^9^0JQ{EOFV-CXMBtg@W_ylOb$Y(KMf*uVtVrKfhLmvzIY(TADDI!suK( z`mMRR1JW?nJ>LpV1-B4;fgyGg3G!_r0q^?!xMxr<>iwQ^`z>B-RTdYQSGqtQ>1wR$ z1Dy)3Hr_lhQbX{9$g%do#M80Jq_QQSwA^+M!FsMMEQsZdG6EiVKMk zNlA+v$#h;PbMl{sybB@yF1*@^Lh(+QwW2RLm5!Hyv$P-f2qhoXjT+uXTD`l4D-f72tfPv zO@?clho&4@E>2X?gLD=gwhAyBU8Now!7JIktJ!-NPMf#53O5u4g7QqGCKHDuN-%Q> zGf0lb?l5qT&qcuI78gv0@?3}E%uT}F?Dq{7+~ek1ULhB#yu}#syY-xq> z`lp|0LR=%utA@@JJ(|914yYJ-berRVZnSdxmyQEC_zgMx{nqKW(InW$*w4KhlGs*g zlyX!)wN_^y#so!okX9|Md2n<%)`9{4(4Ya+MFZk4(kP29f`h3O8(M~OxRx4cIqn1a zJ32`=PM}3ciu)P7mmOX>kWq?CFujpiiQ7q!AWBMZN=0Q{qbjYq2BWSlD z?qINQ2imU}@+5R8Vahvp?x_Jx+{p(hogqzSri?+?(rl>UTtY=ZponTL6_J za6ny~cAuH-Ez4ifagS|xl1<%!&vU-L`a*mL${~B8Lk@k{B@3yT#d)u_!`)EVQ$vth zLn}5~bRPH0!E>!1{c65d5M(#zSBR&d9Pnxlm$dp!jnEw|k_vE} zipGDIlnbGFnf^kC5%YxRM_PUWFGw4GD|50t$atW|c-O1tg0@}2;5R0Isa6ulMYSbi z+md;ar>fIy!neli6|4)t@LEa7LCexVe`S{2_r8%5Rzm;Zo z6x$s65j!Y{X?x+?&QdHuXq>p0>D>CcDM0`SGHxkjNVX(0hU`aAmUTjAGOfZ18NYnN zby=1#HL-mctwB~aosWy{7Ukhuk}85|B)NMR{deb_8faHs)xe|UK8xG1xR5nah#O?5 zZxgVTC>TH*YFjg}c)#c@+fkah(jO6>oqF@L8g~qtsq}xo9**Nm$c+aD_}tikR)5Bs zr7u+^EPOn@1?@cRKgs1{LR>ea(*n+m@{H zJD{0=ZVLE;G(;RRqNcsExg7v81u`3e7yMPo^FKQ6FOroO0Yp z;sT>$Hk%2R)z~(O-=Qi)G~X=?+5jVh<9_pK&0wrd%tmtHlh+;wY=3Xf#JrKKA{s3f z>Z)P-0zRcrXzvy5S~}_9Vd)a3#1r?fz@;}sfC{$iTZWA=kLHcVQIn0XFnw(%w20gw zN~{O&aYZNKzN1+ydYW&2=DtAoWA|Xv#+vOLxDamULMI_)9CbOu8N@%+=nU(H?V@hZjOd9L!;fpQ(BYS@{4opQvio zI;d81xtEvM76dro&>jU%5gA0kBMlS(IF5xdAlRdKctqBe6OT|1#pS(DRBx3dw^B-wR+B^isL zRD4!dy)<@9;;3d{G@{bRs?c3{8fbB-gcqbz=p{P7HH*^pM(_cveR?=w z70pyxK`gRkT{cx*Y{79_6!k;VtDA?*ndgXTs%xjh)ObcmGD`eWa+CJ73ah2+4eaTC<$OJdmLVkL*K2J6f4g zNYforb8H^0L-Lp$_BfexKsU7VBRZT=J2wdbI~1iH(pR;JNSxGy z4mO4>Sl{N;Pk#2>`L>1GiQvcS2xn#W9g@K}jq!*DG!U`$9z@@TVAPr%;`9!b7y z*0#M%evShRqCy+>DN+-E(P33om8y_|YCDOnjhj z`sWqXve|)A4k_k-*6>qHiT8`C;q?N1h4De6&MO>=*y2l0z{{6--lyXYZRxb~cm1_K z_a<-(+fbC0AXCYKzT0Vt8t0@+_KD?%LUe?uei+PlWDGc09FjgklB+p>NLHHEFf@dv z5bZ*3koV2Hn$8lm!=8p1ouUR%X#uWeH6)w~=)#BHbuhQ(P-hG^LY>TEgkyEdBqIwF z+?IEUqo859mxF(c5jiRWN2XbcfYDHZsKHf-YhXRRCFEy1+p@~EI*QU%9A}&s&<3x| zWZTC5Jz4#G>KQdZ7hk(ZJK&uUD|*XaS;85p%@~_z4_Adn`WP*eHfC}xQt)lPkk)aH z|9b?Xdk;U46PX(2EFy5aN1d1_p>2tYKGO3MYqrjAqfw8TGxj?z{pJ0Tb%(-yXnVdE zXp1c$Upx5HELlfzdBk24um(m_m;whLp$~G##~lviey?E0Gf@A&DA?CtwOI6teg}`o z=eYOEIB0D+sDquoWFX>~yIRO#Es6N%BkG)RR5Uu^TfWrAUDeDJb({rd6mt8MD4+D%T+t`e^>IYb@;R5}1X_dnF!hw6=(4d@ zr#W+{>7xAA`(zM+g6v8SgH;XvQQm}p6Ttma=LiBo<|xXWMXewb)Td`*KiLFPLZbJJq><{bE zSJ)-J=quYH!!ab&ZC{W{urJJ{;eA`B_@U|EI^cFi7y{Wkh~w{IsPI_BB8W7$dmE7z z9IC~g0VlA$7ZyC|+A&ph>xCZe$^4?7<=duSigCd32WVPjpTlld$An~+%7+zA*65kG zKJa>wRY8hdvUy38_%`N?PlFD+{XUVqy@D*CmTWIAp&Q?Vz?G~P(y4gIe17eY&MeC! zz3A4(ySi`epMK1m-C-{*m#KW8>bK!Nk;C!G9K+SnMLSTs$aTm7PRa)=ifTE)b8uBn z`>W07*7Fc_mk)CGM_gckzLE^6!?d;DCEK=mEMNw%TK+3HxQ#;}CME3(Xth28@kd7I zRZAIWW6F@uJ$OkmimJt3Qomo9==o&sN3eu(R07>+Q{|7VUiu2aoJi$Le{ac3#!+w{ zI%FxyVT5n09KKC}QO(1L2cWMf@C@bFRMI{)OIf4|aHzofW6QW|Q=&ylWObIqA;DXD zmmg-e7il~LbBRP9o81mC{bPe}tRziovQeVQ_{n$Qyn!*5%abtP=5cEU_$X_e^d0V8 zrw7Z?ieUgG!zTON4Ly$6-6J4?4+gk=1kC(BGrK&HfkzGe4p!0W%#S#HcV##=S-HM5 zWu`3*rw>{W9*T_Y(&|Wg`354Xjy>O{wcyxo5q=2~j^P44&UUT5YH3|TMgaLR=n7yY zxb&P0-{O{5K%-(WGCUd(p5t3d#tz&W-lQLj2UEHJB41T7jV}~eMS@|}@F}Mgpvq*s zk}*Kjq^Ol^Q_brd2Gak_-Mhp{lV#^&|2#OR!+_z10Rx5?VFfr{1@&JO??(e%*h>Rm z%iG9|$jqpWjL42hR%L+;J|vO0H8u<{ywE}#kc8Q`Xbm~ka7>ewp_(!1O+Nqu^45R> zuf6on=R4=#cw|P^|94N%2r#DSud2*@&pr2j?!D)HAD#72CiE7i1^Ma#;{)Xk`KQxPk;ZFckdq#x(v|0%WJnoXuCjCqH&$d{>3G4(W$Eko8 z$QyXeNs`crksT52X`x#U&a*oXI~Y0)pxYX=3plC?=klx}DWgQdb(t?Qu5=!YbQ8m| zQFq_7=xf>^RH*{%BXngbd0W=~vWVCw z+;>b0kr#(;&M(+IoGDssUz;~AoosKdj)X>hddkeEhpCI;?2m#-xgWnGSl$4h@^Wi# z`37S>Q$KCsxCB(QEy8K&A4F#0`op#cQ(DFBj8Zw;#=7TTX^%w?y0Z@I9@#c+Z>`OS zeSbG_aoM1Y&5ziHg2@OTN<2$g?ni+QXVeaEl#4a6$FdlJ{RmXZn#|#KA?o+QGNL)s z&T0@^o)ysk@InnBHD;+amhWk6gwfsh#YFBQr2>oYJQEwdD3-y&S#G3ox-&tfM9@lV z&01z6(3f6JUeS{yv#hEpAq^K2DbQ~&8hauVgOypw!0?jgKozv?k4W{YjQ1Iq)#o%4|!1DP@{ip7D2LIO1cuyK??kWKsLfrXZFWcD#+X z_xUPcGruVwR|dgC5~|`kKr%+F!+ECvx+Y!qg3;65_C;wsP>)J4DlKnv9KeFNsRMd$ z($r16L2K;lnmODRL>|t-knUR8IjXu?UN6EyKCP|Q+0=vhVrXE2LsDR1m35l&0Hba3 z#RV=HZM1_=P&G2h#AkB*6hY#kw{m6}8Eb3S2 zu&g36XbYXvu?~S5fYB5>DmpknJ(cjeQw&$%V`6v)nH_GTSMWaVa`5xcpK*@$143Wn z>xf%voAKuv%Z?8JPxTNq(e41nx5D`v{J+kH7~!s%h_OYC5LQVHE&S>@a)ON!ph2BW zMBhbMDiu{{3Kt9f@NjVt(@!a6(58AencKyCHK*-~4nEoEjEP>I`6-mkS0du@vkKDmM}WNT-wsgmGTv=6rI6u9}Yu z7+6kt)iMRQ#(!t`MN)K369^!l#{L1`7Lq&gmn+KYw+uU)uG1_>1Yc_~z0ay&@8K$P z*+)E{u_6zRt?HZ%VL45mRXj-q1KfS51Q{f>^^I-*<6n96=1`Lvq904LqGi-CJ^-J< zyWC+*nW38>(nnL;CGE`SC?9ln0}wFv3C|vYt2Z=XM09KYvi>xjJA{*y8M`WQo8_BZ zgqyobvL=JS-qE2XJXwdnWFK4^T3o-Px>un9R1G{sb6x0nU;mCFs|G!l5?+*&kZ}sFk`sFHly0hjT^h!BDUom3`c}7+s)_#~-zpOv0 zdWqR(mUxE#U>hWGeil}IB zJfqUu-?n{j)LGr|8KBI`S_Qc!9#nU$Jp}mj1fM@oDR?$VK;8N9GYx4Tp&OWKm&P12&f}?A=7MR#8I}s zYVe|hvV^c*N`yaDM<#ix4nYhEB6(c_%%Hrqe;rNnWIoo-{;HaMrvhjq)Ypl_nFuoH zP+x}cdjKHBMgXzft13%tIYVx5%)QEYg^FfBQ1%s=|450M{xHMWKvV62#U*$jV{Lpv zD52VL6LbJCz)R1C4#_;1{DWMygMZL*OuU(~lN%R*p}jZhFZf3aRyevAL7aa*UkZ!1T zO-n|{VXc?l9?Ubwg4s_Q5t+L)Q}{=b_9*abQUu8?A07C)o2g2ho{j=N2aa5gZW*Dv zs?IpE66q(%0OPOOAAyC?P&aEd{>8C2^p+!wg3L@FAD~#itZ=Ds`i4rYOHouB80lv? z7OeN}_1tpi6H@?lxUv2vqT2xyn;|0ZW&?f+_JC&RLW|v=%^Ny|*ICvwBO&GvEKFd2 z98&l&%4PF?z24_%i>=MPp&7sF5tDA_s|}rY3*lo)_i*pS!4#KuISzbec;iaxKp(p{ z9nI*-9l}?~@$W#+1a2d_9jMOcp>Mi$yBp9^=+M&B(d$9x^y=J-i{(<0SzWF9%x&RC zD&T^czQN^Uyx`6Y;VQIEmCx;EA(`;>?HNl1Fe)s}vk(<4dh>;c<$mNaW7F%h8XS^b zD?ieFq-=5E(oEpW1D*jFC!TlbAu1j?n?U6$C#Wz=%$`pNLg#rZ%sl#-qj5v)A@2EmCevklRzQ{KqNvSZEs6%hBhw8aAHuQtq6wE9VBKDDt2Vi-EM z--Y&jNXv4w`~aK)883+S;Yi!UOuAzQFpnJREc|Bqtgn0Ly`zNheskt@G(O)c_alBJ z$?p4R`}~K(6@<@eXis3T8NUpJGalDK`z2}2=se6QK|rwHa`@X z;@w+XhQlb)B4p`ItmgR-8Rx`${=@E6WGQ_Av^Nrq&>b;ohjA4;p7HN|Q&Fza_yG!p zK1h>Nz#S?CSQl4CeDvPRHN-j}k(6jX!Inj9qi`J1wgYfd?V>=_LVMB*GJ$Y0%u|66 z=Q>qzkqU%L*QvrQS;0c8=t?hVsmS;uS!hw~UMEYglSS9bXlTxpc|3`SbU+>BP$i*< zxlj;1Q~Q&`mtrR2iopVe&PFF5yCJ5Qekr}Tke-+S#SH)Uw`ErpyaM2<^+hLukBAIH z>IDbwCg-Z4`Upj9X!zDRO|%7vh@_T|6|oqOsG)s99G1bzLaWcjAzO)hEDA8qu)qv4 zNRJ>#v=|uYJ+c>+UDH0n7&-3F*0!!Q;Um{VR^SQ&W;poYyCL)Gx*ll-N@NSbXfUnd z8ty8GH7hN}TP6i%;I$@`Dqy`|0bncbAFbgRjYuM3G-MS3F5BwhQQWb6^|qc?Yt>}y zd8~r2pg`;4IunZ^;C*mScLcsXne7*Poi6k`vV-&ruS%?CPs0H`UV;;}EvWP0|Gi;; zjq4^e`w~`xRwbhqsXwR|#Cy4|0f2Xyf zeSr544Ilak9xG&&anK_|FOe|3Na(=B#0eHs3VqUUObT%h+*p8RS8i!|BUyYQ5NW70_yTO}D5N_ZJ@ie15vs7T~oCUW3Xgp_D>ahO9oSJE+l-&=Di z*4IUELGRRZQg1maN`|Y{B&9DYi}FCrZme5^nfYk41I*sww+T*l$SZk0SOI&GMWOLH zMpwQ=;*ffp-LJ07=iYPBl3kOh*+a_0qp2l8wkviI@C~$wdR3GhG|K;<=84~t$BlJy z(_G1Wl;omTLnaAQD>CLlkQa=v_?NI2yk8$i-wZR-R@tc^(JY%`izi6c?C3A zXH&TyHo#_D{`63rYGK^a22`AwqpuZ33p^igE!XqCL@s3_ zLwK&o^kQ5d!2Je?WwJsMUFX4f)E;yA@+PcU;3ZaWEF<6`Kbp0YB{qcbT4fRH_jTU% zu$7qh9%cArhQtsWq)7&UB0jveyu@)mOIPV-);<~?Nx)&$t=wD+(LwJ>xo3-*v z!W${b$GD1U5YLrU;!wq8%)zb|)`m8_l-3VAKj=oJzO@9cSMoUan2Gy}S$2ew%9r8b zc`opR1>)CGq(~j}tcEgpa`*%edii$bspPJq$h#%Ecx}<Q zkxDNo%y~6DXq3dZ%HkV}#arIY_3$BEgG0A;78;_s680up!XXR$D_MM*!WFlN7Iruq zVayW^dH9}hS{1IkZ-**FU?>W3VF+pKN1jmvbw0GMK9Pv~O;MUykV5o5NP?GCzbQLN>L&iYQ z@!Ui81yyg%;!k_tpY)`smYT?cgFa`GVef{Q_4h97kLgWEECzNPvqh6^7b}RPMomNq zeU(X;96G*^nZ%!rSE_DTY>&Ab2sA|f&~XvXG|8D0LM=Fo3SDrl^JiuOs zi_FtdOz6`2m~(hCIX!1KMCn+V1DHUnLn9|qN_md)pMG-yqSL%cLQ{oMH2}k|Es$eX zxX#J_`Hw#Tp@>^O|Is#u#1+mxE1+E69P*Tpsx)M7=_8Py)8}-2vp)Uj zpZ(5ff0zFK{-=Ls-oW?c`7cO?&;R1{zy9L4MBtu2C2>L1Da`t(Pi{k>2B>eK%Tjy=`?`IG;Sr2Lo^`>W4?Xx=>Sp8u#yNhid$z$vKj zz{*@?^zZXuJpZt7tg1iKc2AA;{m=gXr+;qVRL_5L-2L>wB`JSJQvUSwe+GRZt9t&U z)AJvZxqWNgu)JFwYwCkVe?9*}-xc(C%769prTU7Bp+EXV!OMHsQ{{j3>7RW1m!JLS zXTSB?Kltpo!FO{wHqSq52hD%-#otr97mv5bKhdmf12nWiMGu5)s+lLOY(0Q7L5&DA zg#*sXWXf@HVMjzf1LPU$cloy-geSACwmA z=YReAU!Z@pdVfpyATP;U~13I;q*DIPKikl6$DN7$} zb@yi0)4bau8b95GQ{aZw_#qEa8VyGuN8q!t6F_xQ^=qV{QXPHD?E5^DJaombZ>miN}A{|*R8 zIA8v$^R{N&(`W(gBacX|4E?q~0fZ|%!@>8IRv0TZ=fC(pnyadL;ShRLfo*Z}$*qNl zvGMPreg#Q^Qv`#iQpbZWn(<#wfcdCTKntce#eA9krgg-q-2&sEG)~R$n&+Nc=9HqKes9UkuKuB=jS0BIPq=QWQXqHH8kbXoObwt508u2xND*~N_v)lmLsns5H z0H%ubSgR4L0fm+x0PG6SRIniIvCXJ>Oy!n8G2{b*^1tkiisM>??XLZcjsB9<(6tW#L1Rax@bj8e~~T*8U9G zHn=&1s`&!|J$3wm-}2)yP=0BF#N}Jf#KC6!M2F?=nbyd2!TZsyb;gKje^y##czBMG z_zZ^Sxez_A&C60< zKP>{Fw&ZttnwYYlZo#?J08c=$zh1~1LwMOW*OsVu$1`A{2cUkX1O;PwzCNx-G=pR& zDKLC^E?MkLgQeE|hyxGJqF^7Bje-H=D6RSf_RUsd3}ucJs@0JWaDS$Z(-QIc+2F%T z)62b~H1nuJY#=5zk+4au`MlvZJ;`l52~K7lp_W7cs@j?izxmMA^5dEO#NcOf?6kV~ z@eGnzbE%BMV$xcDV$>C+oAt%@xDkc@X<>AL2llpO!H%h$Ct#f*T&U&nDv&F6J9yc) za)~|@$F~JDVUF>e-+1$84OepZ!^KX6h`j<$%O4d?N<+=j7F!@cGX4hcg{z9nRUTWk zaMIv9wBm&>vKgLIxMk2n}OSHXx&F}q&OsMWhtjt3yE|BQHC8UOg3uaT^22ob)=BP&~B zRLIo#lL@DmA_cRARxBFW!$-soUuV+fSHQT>Ig^h85y?Vgc#}NNP|~DVK*ciTqCMW@ zZ2lyh8w?80X|610aYFz9F^O%eqkxhg*R?4ao8w&{aI0Vd!gGuJ(D(^^t2gF3U)UJd?^?YE}Yjf;Hn)y}@2h zY6}ft?pJ9zTf)f<_W#ll6W(im zh^Ou1cN+N79*cc0Q5uL1GGOqPIP09! zpMIZq)1UsXb+F!A>w|eyRJT@hOikLL`fZUKS$+>_=K8+AO14c`IjzswPw7lk(D}rm zkyZc>>^=t$_bm0gJ~DxKlO1wU&(Ze=iA@>K?@~1N)S&=IIqi3J*hdV_sZ0T}mUsJW zO;&x@|MYh&pfVoojBF?fhYudiLi(Bg?5{7g0M)ZKPeWU5o7Ghkfqt#c69R|M#-S+d zpZ&n343{YZ$$`+2gh5vuzwxa%Z;Fa6jII|PBMl$B z!J#}SD`P@gkyi~V#{oI~=tv#A7h)Gh?6WHdk%C+81HyMq1#7)F^&{DG>1_|l21>~n75FhLH?fC$0a(=fpsDK?*S|TOl#& z;GiD6%qsJTqP?t894r?eaR)Zwh{)3|y9s}pW^8KZgKFx5D4yDb7Za^;6*Wf3*IU(@ z6rr={sEF_qwE3Fm3Jw^K7l#gbp3oXOZDh1b#Y25j;+%_VDBl`2nOEC>rL@F$BgH8X zfL|Civ!SnQuBl=;a&)4~uWA-JWm;Um`6`4AjtRm=Y{bwEj3dAS?nSPi5}Y9jmh6Af z?K)%+x7hwT9x^@BF}l<*J?@ay2eqz0+6V%=tKSZ7`ImnS!JHddc?Jc*d;tI&UA8|Y zi$S^-&ukUpP?g}{x*O6u7MO5dps>=$b>?^g2H2%~(VlkTgsuS3Nd;l&x$emB%7lDO zJM8nbWiZ4SJFxKF;H7#w${^sR9$2;FrKHT|29L<=T%Nskdn8<+Zw}2r_(YuFn^_+;woXtYTgaT56lAPe+kF&>M0jb zsdXw`dboG#slDk4hZo{a{iv?qzyVrSR+FCDRTYq_`&>Mxu&>vbU(K`O7yv4>9B*!X zAObQwyK(XLgV6HjCp;fdidKMZ2VBHAo${LE#qkJ`05F1qw_;k7W;>?i2>5&jafWP> zs;ny+JIdt~{`#QUY`d8N_Ftc7vW{t%oo70*JN%*Nh=5sA+6UR45qIy?I?14EX_>5N z8MrW7i*UonK`5e0{Q)f$TZ9FPAG&0`{BB-vvRG?SF7i$N{^6?{;3tWBUBZSs^!|+J}AU+J%BC|2&K6!35ITS)AL+Jf=04wL&zD!iv7kchS$v z;k~a`H3*Got#RFQS84+~RrOBS0WyjvF1%|myGc2Ka%9}S%n3($mz>fG{o16PmkbgVRN;(`0JnE2TVf?$_SoW6f z&W*-`Xk}a2V39F5TbepNVF8yPTU*Qi`M(Y)U$4yJcTbW&4Mb=UEI#d*c}e=8;i z$9=}@Vwh%HYsT=0;K&h>l{^*dxf_l!>FNhuvgluRtvw$suYxoZ+v-HDkYp_Or5>w2 zeq+?>UO@DzRk4@k`k1RuXKuv)NuFB6`9>@bwD5zo{oEn;-RYcC)L)Pu0{jMC%8wr%eZ)vQrv7DR>F;P!G67@# zJ=2?wl6`9Kp8sIK2VKT5p+MQ8Xpt*BzN|%w3P*oSjRMHJmQJQ*;^6^71MJTs?eAOP zvt}QehYdRkI_55&6jqnTsbK1`iUU%9fkg>p1HxFIxFDg+Hot4`@(g66T@A`pg^z!P z$ys+JT)zGQ<5~S~rjAQ?T`(zQ0i6FARn!I30grRIiS&5xWaa>&F;KrNQiHV<$cA@6 z-SZ|xe9pA+HA&s&MfD_{1Hc*G;4b<}4d#Isfe8sFBnk3&>O^=m=*-x&MI!cR+?ax- zq^a9B@4mX6`x@lr4eeORqtZtcXegBCD?SYyNE7_4SwA|?bcD^BIDSrHJn!37jUdf- zf?MfJ>XU<$1S@S-xvFxe`r8{TJE1K3xIU%~W6EJ*Ja_u(jAP%-)uB+osi!os*jN0yAz1~P6d;v#L#9x_sU1pu7wUwbI;Np;AWuMMZ293` zYD`5UI|-8trO{D$cSuKWn`-{E3o|7mKb`zhuxgQn1Cl6dK_twS6`mhy zvj@DQ>Z#z4dMQd?&{S0PMYfkHp~>ASHnH}!E7Oi#_N=F41>POdBfJ;%`j(w?b?i*pxQh_rE&i3Xma-5zo>{OQyHWnFZbZFwL=2*#1+ z_!e9-$r#HJ+?=sk2Wd%RKX{?h5>Z$>mrn9}#5liZd;|0njCwJgJZEw3M_h^y;F%Xu z?)py&aJ3i_qU@_JbE=ZnL2LgS4!pz1S~S^#64g!TIChn5i<}ILhTXE@pkCz%Trg!# zx~>r=&2*9swqQ|;a#BFw)wI)4uDp7pe_(Uf=E&{D0os?PT>hPA2U_It@W4U69-gJ; zs%~5K2i+jJ8^#xJ8L)Yc3vvM2BhHHBxW8m6J{yuHKd(w%^xu%`9bwReB;fVBZ7d}n^LxU1tL2Pe2swWfDKpZ5&20Jcm65hV~RtL z!)YxruXU$@4^kSi)IE6PGt*{EI`@?N`4dWoSjF=BlWp2Oe_~}|jiZSIg7P)#3UbVw z6IFL84u9}`JLX&SmX3!E99!nO)vPRd$k#{ngBJ9Ov;4Yn{60K3a&|fzoDqZ%fA?}K zA{a!-?cSOJU91Nh!Rs_DQtJH0Mvww2FMhNs_~Xe)dq`1UmNx6NLQ^F{a3+O^1C=&; zf+hR2$3s_ZW#^K2@I0^h#9q^yKZPq#&-^h3xiv0EFxiXk$cOR-MF%1K}@B7DM>iFChF0GZ9|vv7P#*SCaPFL z2Om1O!dEZy+y!|W@`Ds3y#mr}o994PqU5wi+{7f}*prFY)M=*V_)9gUdEC@z)Fq_4 z*tZs_L;&t@IT3&6fNL0s#TFj?vnERx1TrmLwG|c;kLwdBa?Q+ll=P8H{Xzu|0TRsq zjVQ+}VgKq^zI3>^qeGu1W)=74?H-QJI`Gi-9mkcp)kp`3Pr|o#WT=XxbiLSBVX?6a z4Q4?E(qvphfUOS~>hiXB_$a;^fX*{|{< zfEq>F4g#p7NhW7rBiA~Ujj|Qx5OVE$i3*E#hLGzaN5bw4tDG^n$Ef{)l#}pQoyVVd zd|Rfh))2Mt16ItQWEf)bnO%ZLXrJ*oQ5B&AoJ8etbwIQP_zL9%^X`s)i7bg5cq)sE z?v7O!ajj?%MYn4wt>uImUam9Ak*FLTCOqwxK-DC00!L->ucN3Hvqg>v8^zOpYx#ae z)pgxTo@ofRc=F0N!Y#}M=1xG>_a<4~X|S@mv}CkC){~HXYUM~ggLNiv76%OQg)HM( zbv40!&x3hB$>Cpws;_CmDTg@qIG{1@iN-Iyo5&}vc! zdc|{tK=~c}*Adt6L^jaQ>fXQhq}P$(GCrpLh6?)uO+h!ARCpT8FR&SU9a4?z#0dtw zAhRw-aN~gzXSZQQ`A!&$3pi!?k7(nE7p_=m850t~$C8Xmc{@Z!^snhQg##P{v2*!C zej7hO!@liX;};FHgQE$hzbXe#0 zJ+Q(EZdb7Z)W*Ec(lJe7d6CClRRJ1^(yY_G$qVK|2la|h<_5S+@#yGpd9j6_TJO#k zS+itY4AMfrmhh+ty#y@5zR~Q?r3Bs-E%=4INmUS~aM_<`^0#*2?amz3J9zG@H(7pqMOZ$rxF+wi!o@yt zy3&bqm*P1~yQRX(QE(8M2!sAR9t(JzJYgf#Kb@F*XLOpp0kOmC+~tk9xb%p$>f7|z zl6^jj9pM9DTxoGMXw$V-rDQo}#Yy-<3WG7dm`6jabEL}fgA3hZ*-AAPW}rQh*~*16Y*ldH9n~wQ3X13L#1#}#Z99+^ zvBSvt>rC-ufrxccTm8;7pvsTfcVRxVL5enNn#DFcrD5M_`Muy`GC1S>7;s+R}K(vzWBUzIjc;yCcGXb{Yb#aPIV z*a2fvyII@$)+4AH8)MaHuVs=djpKq&=|Bv9-(qax5Yk*QT|t zN!Nn4`tqm?BpRAd#@kwZ(a56#qe8ya=>BzQ9iKnxIC%Q`hX=T)V2mh)oRJVH4krHd z#_Bt7-mDt4s!3XhAADe6^+nm4DbUs73~yqqHGDq|n0*h(M2R%+8f-vA>vi>Uljj*y zhB38eGA5+9f4~S@NE(UVFG;BZUrUPeH%N-`Iz@;|#?F}H zqKuf8v|+uxAR%$26(vEmkN`!zPmcsbzT!|?rcm&vHO5;AlJEshNWFq&iRW9VzFf1z zI2^mrv$SC-B}>xawWN{2zB#V@Qo#{N%{aJF#QE`cc@AHS1TLpmbs=L0Y^p$0p~JaA zmrk;{oCTL@%yB}e#FsLlsoaF`)~F<%K6*7hOY4@^sK)xD08C ziTuE|4Fu_5WO%3%uEs4Pz^JZgM@9mm$%~YGy!`MfN40UuIRNwh%UuJ3P2mtf+ zEb$x@ZQR&KyqJ4kN|9yk%EEDp%t6iU4pf@0BGO_9k^j_Em!*Nby#mEA+#&nzj@!$V zaI*wDdX{evI0!sy(gQH*wz+O$sA%gE5d-omn&;3%2MS3fTi`^V0p1hmBBiu!I%!#- zG{=%SPuTSB4i8t~rPCB#RkL>19S%tc0LBP)fK2rx`vnaHLz>62d|Fuz2Y@#h87_v> zPU-LB3ePpL6vh`ht{P`7#Z4UF0HUOKnP)l;cjF|Wh0cImM{<$=VuXwXJc&cY1-HtG z5X4-LO?qyJFjKCD(#Q!&Bac>vc?LCwCxQWG#VD2Yg!yXKZc03Z4K4JbZupsP4)9l( z+K}RSj{tIdT@6FRwY(sT0cS;Hbe%eR>yH2aUz;3v*j;eT*IY%bhX|+re4-p0+OW0;vBmR1z*s^?h zS>D+eu7dHNGASG)~BV(|GYIxr#)h1t^SlT79WQe;(l?e9I9aYT1OOTV_K57 zQ!DD7`l^gyo7!;dd>_3#1XqnM{H1iZ!ocP`dysx@x|MVY~y?GN+8)p2HKs$gFhd5q`0+~qryDr@W zX1U4WHAQVbn0!kShYK3G^S_AIl!APWhgBt@Id z%@H`~B?_9K4XZ(cV1lAZ$%G!)U+(!E*I!b@T~_0eW(A(6TQK_N!_ZHnQ28rC6KB*! z5y`cz2NPMu3k~62_rYc1ADZ)-5G{8Jo@89b?m?#DpvMG7kUND9QhQ04%kf|@H^j%_ z2coK%HJ*883b=LUvNc(-BPln^dBINt;o_Uu|5x}i7&2R+PlfsR( zHyCWo$wKH(6nRjCGf@+9E>%Wn2Tum`p+T??Px-645iE8@6vO9D(V6(;T1aY@si|PJ z9(WO$%#Q1^>Aug%ct4%+(&vaHni$-JP7yUqdMJ2|Itu&)!16NDSs z=HG_PFaC{fwf(Ml`Fc<17(VuAi06WvAe|8nto3G>p3Azi0xR+@+J?a)L$e`q;cw*N znZow(=s+uuf)6PeNXfLca0rUwrcB0%g@arWk!gHKr)xfgnsDBP>#qgd1O7n?T!ehS z2Tr29#9@Fw-~qQgiy@2Yzlhz8K*eJvA(BNde2a_9tic}&!aiVbxp0f}ea-|wCDI|h zOFV;tq+3MG(OD13(o|q%!3>t$@z7pTGJr28H4{jrrcJm> z6ZbAk48d|ftTRO6!>JA=nu!&Y8UgbpOUf|8Wk0EbDWo zd(=g;fXPN9r1Bzzk+K<-fJdSW>(}_C_7a$8$NCbTPWE_ z9M!~_ApHW2P_!Yg>F#1gj0z~iiJc*uhrEJfI6hD^vNfntV;tI%Jd6zi&7sqOH7Om{ z<;KA{veAl7%?P&eMJdTr)k$$zgPLKcAYo`6naJRfRv2u!97Bo#{&zHT(AFUm+Mc0N zj-clXjFl%KR(l{>#)Lz)F_r*n9$Rs87euP1fZ$o?Y9KpY0*w;9V~KwurKLf~fi=`Y zKq;K`cBG~p<%;9GD3B?a^_g7TQp$wA{Lo?!An`HeD5V=4i0o$Uay8gPco^bN3xfoe ziy)7N9z@^kAmB$R! zF@50Qg`Ug?cB-EBA;uyde<+QwD!OT~GO9`j7z;8OX|BfZof8?dLLWE^)JhQb~zRfjbTLNquDWEuK}TK5*JrT|WOl zH}ReiS%|dR;2EwyFhDDy*umktTALCYCcz}>22OW8W1@+$vffbf9Gt$vz3PV`$CNv_ zO#u{5MEFjGfxV*#@@qjGPmAt#?TNUwU8P#JeSzy~4DffW<+>7)rsbUKEM3t3>`Z zQJEh=J-Pzd(?iShq7dG3oHUvyZF#+>G2PUFy#YdOQ*`hGi@`O=IXvd7mGmjj(k5zk z)SCKTJn(uZ~!tMn>#z-qW-b%fCB z`3K;NQ}lc^s(dX!R54XLy*yx@U`juYAw^yUw{w5Y5DXdk+-)^A{up=}J*LE!psG+2 zZqkxjV>e6q<(i4eCb0}a!IDd(Pz7P>^c+p2SU~Gt$;If{v(OI$l}!_0>TE)j2S;jl zBG+|y695v(Em5SHFUhb<2kuaGHJ>4Le3%;q!EmjlqPA3ygd3|(S82BcbCV_}^bz(i zSrQ$yrLtVcntX*1bWE3$C{b_GM8Ip+=tVvkTiKLoj5J zx7bz6gpIn(LeB|?YZn#IrBsr(pQ;pK)CJ%iO(s;J@w5)Kq*7mD3mUpN@i6R?2^(lU zuQfi?sXf(Aw*&JLI$C5NX&zZ9CYe?1sn=1oMfm_4$3x&!_*4|c3e zlh{Jv_g$5Iq|KD%?$t~Vk-HU2(|UvhFN}A;QG>Id!V~oB2j^t2=2jINJ91 zCjUb=9Ug2=Ve1jj*VOV+4^W%jW-Ju_ZUNqs!&h=513>XnfB zMtEBQp)nn(y*qd@-uV-WARzc!M7qK|`S6NJ&9fECd{d(|k^%Ep{Z8jJ?+zDJcMi?D z7i8)I=xY(OPs(4onGgqM{0`q*_YN++cQ(zocPgppVInf66?i|hWsAiL8jetRc;~ru zHR0w1CfIVdeJw+FHu*~;nnWTTReh3(jsFga_wSPEX&JH?%U>=BkBCIvXoPqOrE~sW zoEWhdNk^b6UusHE3z;+}?hDjYwPBr>YSmfForIx>%x{VwuHallO!N{|M4g{mf1_-d>x z?zmbeyj=k>1Lzg{V!;Yr*JX@z@vYYNl)NAJ@FG%+CtrX}8aMI+1~`{^g2{eswtdS; zxS5&tz~=|Mz#d{+GMwAG;Y*7DA7o&xc3EO+;i@OXFgIIlU+s^}1h&TR!! zKswj|lD{*&MQ2f&7jq9-FZOVj8C{>{bfQB50xtsPW0!6?lfH|RMBFtT`cCIVvXgK- zBaNiMeCCetu4j|!GkB!Rapb~fKXk$JqrwVgM_$$23J?tW7A7`Y+mCG{nY-b8YPbQx z)BLWQG#jf3$ zeX2i=?sT)pX=U08atCr1i;y6e!oPI8mJ0wFxDA4geJ@62#)T8KM6Cdx_Rx-GBQC94 zWPi`S?q$_@!C5;9eByhtfaX@45U;{VHG%Fr)@f+Kg(51e` z=_uz*em$SDBI@j*-8I1k253Ib|@viRLW8dKA zk`~H58@`!J1K?b`?eX3P-{cE{K37)$ zLp_E_ymWKyu-?aATBc2Xqz%ozs`sT_+}Tbf#WGT8KV*-DFP~pET~6j=+rfY2%L+&) zBMX-jfV$~{&$%$7?&~UrK~Stm`QU8;mf^0*HzY5aj?}hFk6Dvq5-iHwmC`Frmx~AI#aM3$Rx=ijpZ}H=Bsn&_H{l=R&RnGv^%AXd- zH?{`6iePTGf(NLHqWGm^JTzuxSDAQMYc1tLt8j_=Upfc_joIAOp{63k@}!;v0Pn}X zdoknm-6es=@w`Be1NC&?VZl+Czk(tbTOr)t{D8d@?~>5+ynxQ7dyq_lW}yOX_HJLF zEOkZ6_uW1_!vzj|?%Gy#=O8>3Jhik%J^%i{`0v34eMrk)UNp6(?kM?%z=yY@%TB#; zal8XAWR%e16@XBy6o+84W6U<+BAmlg_f6`3!UE(!d&~mp7nqy2@&8@`J;GV}>p^CO z037G!55+k5ODqcThZ&vd8Jdt$KN#;ZKp-^@=$IV{6Zk8}25muEz9qAS+Pi8Ca46|q zF*_Va@PJIvTM>VRwu}P<2IP55ouyL;R0j1@;?dA?fhkEt1OA$HcB1LAPKSgpyF2=! zYk4#ps9SuvQ6g~BXm-WJ3d{qX7S6Wtahh$pS+S= z%)-?&+c}vPPbuGdg!Fa9?9CsVxU&ci^)4l_`||Ku_K*1impog(@cmN*R1I?eSDp4lTJ$=_j4* zKcGxpKPAyO{twMh4c}A5c9YdSgQm$JNs=NF#(AfD$Z0FtnXvBw&0mf5>WINcU6O8R zF`m&u@+mKY@p2g#f|KDyyAq%_nkT&>cc8+ zq0>IE&Z$UgbH2UOt^8HwgfFyk{2sFMtf+v7xg%*HXXSCe*jRt-J73CMR{JS|_PJ5M zh_2Y*yLz)>e?CXt$2>1_!MlXNJe|?i8Rg~Zn5U;RxWL(?&3D2W{8zIap3b580&22? zi*)eO^E^AWRUTjG@o@|}<=U_9zHgd)ysF&@hC1bn{D?N*XqGF`x%kjR=lSO!VBvZa z{pbYXg*F+Ck}J@;LY+&l$Q91K_OeU>y~;p?V~*I$YJt2J&&;QytI3vU|6;i50f9`i zggQ$yWSKNLom(EKJP1BxoBGKtCm#M(R&l$e2{bq>`nVMVmF+AC9a|8eF~IuInjyI* zv)x5tnk`2xoy*m^9C=oFNXxx;CWNJO= zt6u7Z99~Fza1OG~b&jE5#V2$!8XVQHc1YG{;LNjyv*8fXFf0$Kkn$#_wo5#f$r&<5 z)6w84#}d&G!_E$Dn9%b)@l-z>FFeNr`JP%mNi0UZoaA$ceDVynZSw6_x+-L6VuafT^E|^`mwK(z zd@sWxk)EO);XKD|uG84a#@d`@2`s#c6~pqd z#zobQg#WV}vgfKiJ&C0xB4cRXjY#)+iSX5}Ha1LRW=u)y-tBG5(>qI0|@(eSb4n&+MQ7?-_ zGq6K>;OGpI@#o)Ey9B=w4qJtoe=WoC;Q9}{y&-oVaPMo{Tp_e8qd{9CA3039WquIG z$|>|r8??#^AM3o_Hi*Dg8T{8XL}P~aQ@#dve|<{#WMbGKd85lKd&LIUrmW>2MYDBj zlhpah9!qKS19MQ~WYS7jc)K6QZ1V4{F4NQ;mvEKb{>Z&dZr(IGj`X*ZkA`P^EQ=0{ z!c$Rlj-d(@@4sNuN<}3$^+)hRj%@Q`{jo8)=VBeB<4uW2nvp3^|3nL2<(amqV07Cb z*<-Q+$_+6FMGdw&I%43mMdH+;w)){sJ7CP0Kz?nKjf|_wF2Bm>F6MJN@QKPRO=__Y zwo(ettqxp-<8SDbA@hGmL$|6efpY&IdkEm-L~%vX*sUKbQ>-Q$+_)e49zUVCIDXOO zfOi0Hz_v}@ABR6%!?E@$J3z5yi8;m{5h6(8A{)~2+od$;bf=QI79y!>8b*l~0-_Ax zP6TjNvX7HIJZux!z}x)ry=x)5nsWOQo%p=~Seh+gSwS~(;wj_@_J>Awig^%kwfX(5q%m*fvpTz7ozJ+&;N(Imz4sS&O zec;2UqE(EM@3OQU({ac-u8snZYNmDErxh9Au=Q9$j&Zk0Zx8OoPLjaCqDl8V9GoSQ zuOiYBhvwKmu2CXJ!90V5qZ*ZGJ|xCm3gJ~t(%@D>hg@A8>wy0}j{ip;f&dVcw27Sa zbJ{#GO@PRgm|)y|A$;HAK<~gY{>eAqyct+I1pZ8!;WH0dxi&qVo33QMfb|Y@DYS|b z?ngiU9a5;xIgF47b`1b^6&B>{L%p#=7-S~9xbs9jl_F5lfASw$-LEF!=|2y} zBRoRoFN66FHf4S|FwBJ6lb$4N_d7-p{DXQ+q3Tx9l8Vrp9ZBo7qC+%_4w#^?HXqXU zev_A-btE$v5480C#aHnD5jw_3JZak8W~)t zlWxbpg9D+#6ODuLLGX}U@~wgtP>Of;rsK9`eFU$H&diWIO+J@wRmGNOI`}uQi%cv& zoJe<&)CT8jYY(3WAp4}OvwT~$>7JV#BPVZ)z2JECO1$QBxKO2&{zfVzE&P;c@ z_p;)c?#(VOzy!=Zn>0F3JmO+dOQe0v?hluxiv0SBV4Wt<;imys$Kh!VJ)fdNaFt@? z#MFLM?9S0@4X9bT!f9X1Xo~};65Ztw3VH$FiC~~=yPnr`(uukh3Zd0iM(&q!NWGXx z4aT~>%#V0(W=I;_4a!6oF6F5aC@tu1d7hY31(Ki}zkU7*_m|1tdPs{^eIR=t?wXkH z)wbhdLWNLu)nYxSoOJvl%~Z*WrQA-g>%E4*t`KX`9DXs~SQ&sf)hkvQzCu;5`_vQ- zWwJ9x`&Ab6A`1tDSohC=32V>X*K6EocHQv3C0d!KDGP`iM(=U1C?aijH+skxHs*Hr83DZ;6N>8>}eQ9mO zy*U>f3@dboI1b#)QP<|xF5QCxX#7&DLIb>Ib!uKu6Pz&z+tYDH?c+F(R{l29Yj@Q8FpJe^P0eotEsnLONO2RI+|#+MM!X)*98RGvgL^t;7SbKm5O7U?0$uTeW4nPig*BCn-&2F%OWV&An_Tl9 zEr_)47uiML22X@TcW~4M$EQ<;u`l&lEb;EW%d0&IUU~UF)LYeiX?vh)In2a8=0vI> z>(7;0rL>zpQ5WrN8qfXu>Abft@~9S93lYaka7?E8^ibq0utC$Jf@N$Aw;%AXQ@_E= zSk-D9P&3e6@hMwv4HfD|RsxQ|>}v!P+O}@sEuGE_pp3jA=mwMbfF`{!P9{7VjytST zIc?j|KSrp(uEDCND(L2ik7=>LD!HZ|gew1pKj!(=9LGS^lg?1#dl@_8(y>!!t=dH) zR!#VEf?^3$`>mN~YdAUYMQ%z)R95UKN>sCzMYSC!#(cdM$Yl~tW2S67F_w0qu5Zuf ziJf1Yy1fS7XKAGvGY>S$g3LX6X$JK1RTLS~Y)O%C~8t-ZgFMPF*)v}>vysu%NRoh`~ zV5+1t_r`^YqfdBuW=NgR_`Pqxd6PAuQ)BNIc*>D-G#cSHf|yvGqPwEWGmD01#t=%? z8UBgzpQ4jJHu)Ofp8z1l`ye zV>8?ude+}Io#-wilPEH123Jq?HEmU3ao>Qx@F|C#)312nVZU(B?RccKqQPU}tvPlJ4eg!-elPWz zWCKD$+ZHsw3h>(>(_;aitC~ZfrDokMLtu32zA%fb?(^3Yy0$?Rsi~>YtKtbk9bGXf zU{f;BGe%OIcmaIxd8(4wS zP=(2sKyXZfSORLkd*I!mg^oFGgmni`hjrQG1QHr~21CDSPVf`FPHE#l4qrL0L8l<` z(FL=5GbrH!V+Y}REnj6AWxoazV3QBA3Mgjpp~hr3hLfdy4@Dm zFzjBJBRV5*a1==_>Of8ppZ~|k;0A_^vfyH zrUD_3oj_m_Y{MT54XhOJvK>4UqvXmjRV2b6aH7G7W_N}qPoo$;--rw1R0C&GgV6RA zFoO|{8bmXNYzd%j zgp^-|#cH)&=y6z}-YYDF?S@u1dw^RpgeF(C|r3NnZ(lx+Z z0AE0$zi!xR5pm=-q99unJOl7`Y|UFaNKT8?S%o^>=R=Mufcox?(tN7;VT-M4?Bd|ybKL5AZ8(msRkz=9UVYL`%-iZ z%a;ab_+n95<0fS-gaQZ|BRH)FM;;oECc_8fb-@goS=6y~6pG9P{YN~nOTEjtIDC?o z#uHs&#zJsljlMgRaFYitW3#&0FW1E$%l**QrTR!;45YuV6qi_|GtPB!QKXB*D)DkJ z4Ydpwt0u0oWVVcMGNZLZMX`g5J+zM-zg#uvUCroAS?m zi+Rhx3+Vr3Lf-}afBeo+aRGZ(B0$z8i?%;fujkbSPnEBG-YSHJ44|%evGZ%xx|`f^ z+50L5DgehDD(N==-&a4KkUoT`>>4johsnJI?uW2Zkr|X)$(@}jv0!$gbaa#?$;b3` zAz1%Tf^GIMKG!{H0X{(NI<_80L3%5&8a)u$;LUdD*}rDxWuf*ec1^(U{9PG))W`ve z3zXt$F8uDIFo(9OrZ01rD6Xp{9W6#G(#aOU-b!`a3+P~)lhhU`{xg84n8?RfisNsG z|FPj6iyk#|7&L9J!w+{k+}q#cvJpu3-5D2`q>L^j6wn2f(YK_xH;A@}HgZq_cyS+q z`_2EnjO4_Iw`;*j%4aP$YG?olcsk9`XlByr8RpX(HVGO z@C6L5gxR?@_Z6<`QN={-8(U9llcqavYQR9K_Vp&i(TOo8(IRM8e)xiTJo#`$=xUW( z(On!Xk-w`Ea)E`{4QSu&j-(>Jc5F29aa%A`Cay=}%;aoS-tyVA)*nb_jy0X(aaT!S zHS5#_&+SA+GOVxWmXcEOR_m#}JGw~QgwYJ0~_fviLYz}hng>)*d> zSf$TWd(m=8BSv5zt93zxQPdlcii_h*z*fDb0Rdk@#3KxiJ&Jl^lmv46v{wCQgD^tO zdZ0LxqIg|y>*`t-*|1C1(arXLqj7X{v)0rOcpvEse!N8-rho+ci`^qv zmj$N+s6JGwo?%9ID&RRkY@NrD z<}=r{`0R1vOOt_YBJHUjg2Fe&qh!X{&2@{%S>F+av$`_y8Vdge{41hp^dXZ~?~2;w z*Co78f^H#9=x;LM&WcWgx;O3mMixG9JZqTH9@&qV#X6zRqDUH+1khoF7uCdlEk8}p zPKC+?s9=*8%vCplO5?P8nLYB%c9)l{v+?I|-n^NF$nh~-W1BJ_X~N)~#t;HknII*# zT+(6u&%oQ(dM97Whpzh9cqk4lhHE3UbIe0u^zC(e2kBuiax4#{p)>51uYjK>zZ?Gn zxR>CXqzRZ5a_)>vqS}>W6X1$I-{K)qq4a#uL}W65Y52hTu9WvomTzQaGVj#5Toi37 z@8F1As2(t?WmK9sA0O^_<*gAQa790H({5*p2g3s%os=|ne{OC{jxvLA%utO_wQBkT zVIB`_mglfqfO@O?eZC;>grVP`_)5C!X;RY{81xFvfXqqOPlC!2FU06Qs7+UhaA;}4CUf_gH+W&1w3N@DQW^FVN=r4M zv0vt!dF|Hlny0p={b@^P44+c43INZ85fE~|QL3kcX|$Kr18YQ8EHv0`)7zA1?oPed zuwS+A(?co(L+*o;DpkQ*pIOKTY2#7}re5@&y!9(+H1-J~S+!CwvJP}!A+zYf1z)QN zQkuF4H5t4r$vkNHX;)MED`-9TLrgXb9l{=5aO8iQ29COh@z z8s^qbw-U7yT=c=SvwnaPaM7jIzBQ1Y54bypd*0^d84%L$hVum+o8YoOmo#pfvTD+n z+q4t;O^J3J+beWf+A%Ntww}~dVC2Lpx*bhW#uhhCTe0%W2ebXqwXWWRyU5 z$rrvaI_&ExQ$P%ORz&CYramBio&R<$;8$pJ8cqZce{AJ&ji!WW1mXini7As)TA*&rfcE^|z z{?NhO0(H`sZ%BsE{Hquo^^M%W$iJZX;{W{E_|tDsPouSlklrz>K)#lz;H&3b4O20o z1UMJ{sRQt?1|Qi?B*k^y$Wx~yj$#9J#30ODT#aPge3!^%BGMm4hD#Yaa`SSX7imrm z_BW9hT}g`;R}#fY@jeR1S0a;_6by$+rZ!roU;;WMk(OLZbDWpNMOL2SE5Py>Y!EAX zVeBb+a&11B=Pk)o0ep2?H)&Rz=?P4S>s^kwlyq-7QQ&~-aUwFDhzwp*(O<9yl*Bm1 zOFBz*t|i7x64~-HY0;e=HrDA80byfjyHPX|8(CpA5u3bJ_h5O~RPC9Bv6AUt$;8WN z*QF0BnE|w>)he`ju}P%rGJ51-qvRzMc}s03AgAw==#CO2XCg6rsn(uJ$D<|VL-kP- z$F%%;6S3YzY|Ix0z-J-5ofbYl3*V)tKam$0{|#*j$EIG>*|X+j5n=%FHg>2Ho_0g0 zPP}j;?7=Esl8I5-(#b0CtS&n;5HKGBt;d|!w@1%=v=MV9bS~y$Wx;nbioik2i1Oyc zmoFv>ZEdcoKYti&_RnmNZsrXXHWDvogLUU478DSy!?1&!7?vWP#F(P zYToXPL)~g0GUfPCX} z2La6+p*;Gvxm|z}8lY}8)gT|b*D27y7&GUoe@fx^-v9Lb_38Nsz#}QzHdSx!2XR}> zVNh|%rv#7Pc(*EiOhVW+kdQqh{jfVB**UPvQO+L6Fj|gQ_4LS;m>}1pNflyDY!*a$P5F?(Iv$+Cdr=6cT$W*TNSx^dj2sEnc{g(YY>fQaeSsl zxUS&Mx=)X^$epcV4iPj#MH-6O(qi{F|FDoEG)N_F4}Ezoo@hLbz(Y6>R)6ykdkHt9 z`ab6Pw*&Vw2ih&*BTZn9INXEIE-MYUG&oV;V>deC6nY|4Kdlc1m32x%R01zlDx!rS z#=aK2L=~fZe_ zhyJq(yhBAw=c$ygq+|l=rOF7jgQWHJyE*)BwVOO1F6rFLT+5;;r&Vw4%)h&oR_WkQ z(lRgjaaYrTex!x!3{EM{@5Si?Nf#iVd7(L#NN-H~hZ;OL7|<+1XdDq z2Z(?pystG1_6*&p@4&qQpU3Gz4G+;iz?96L6+|Eh{>q}<|Bt-4hm~d7(uB@?ubb{k zjljfBDRujuqrP{){Qo)9cw;aY5?DB(sLZUY+?ADCH-C1W+9pCEVIYBphaQ8$7_HU_ z0a60F{VyZb79oKMuzaq(*+SvYx{b9A=fl&Gn3pP|dfG34bX>NMIsjEF^atEOU~Cvib?uII16%ng7y140 zlf=<5XSCfXnvp)n{wM1|Yc+f$NF$(yvm`yp2Cl=5;vq+89oVpe@+7d{gy{ji1l%X8 zP3(Mv{R})vBp@~rD13K8M9vwf8YE9N&wUJ|Pwbr1rX0-Ndvap)V?q^XQ#&0_OV`T- zcEz0JzUW??`UX-yk%~WAxXXhpFYsWgsu9)e8BPow#gB=&?uuPBwU>+v;BtlH;FG1* zPDCVvp^L+aSw#JX_5~7;B#!(bK@QMhM0QB6UeSn3>Ui(`U4j&Ow5xqiA8J zu?D}vG812Nw$&3OmK`k8*{ZFDZ##DQ{TQvvMMahchrTcO@s4kJ;aIR^Tf?OTgKq$eo7YI&ezO8>RZ}A$Y$5OX zbJy+=asFIgd^8pB&QYhu+FIL})5`Tyv?dL%QeDO1dR8dR_3v7&Ps~TNcGwlWIy|%& zPlfu6Gm62>V{9^?8Pt47A_mv@Jb+=`vImk?KH|VtrAMF@Plnh54i0tvX)l>76wLIn z(Hc8RwyKldcRuX@7Kwrd`ZS4J4Bgh3a(#O$cj;%sIL?6Je%SHOM&b5-!yh`4M1Jh* ziiFtdj}=K~Q0G?-10HKZnDx5rFNJ^_3VSr%Ti03h^{);+!>ups6RkxtKyY3ia@%*O z31IGPM9dJ_F@LKMybU&NRs}t=8V8u%0*R{a&t{*My{`7AiMC32mpt${3y$wv9qQ=3 zDA=D04p*KBGW_FsqhxQR-Bb>n=4ZHbD-pH~0G=>tN#kH0`-7(_w*Wdn|v! zdzyaN;T(-wtecE~{@1^dE-_!Gfs-G{_nJWTL`U&2`}9m?}#-(OMs7l20wJ>!`3$=p@`X)nboXG0M-rGOI2 z#=%F@nd`nlkXh1I1KT_u_;-4?0AWUaeZi6D4TeERi@4M5v_8)i>P-HFOsdR}I18&t zZLWLB+7szTR;05f$aYR?fWXVNH5!nHi+itjSl2-KY$cqUQX&=!(Kag86z8x1amAn_ zIOhBTV3|xY2E{6+BA->EjJ@j4ipI@reFS<#e^Rf-P={z%^;sR@m{OQ(mthNfEY3Q4 z;7f8F$yIyZQRDV}9@n2J)zGpaoVARTRqC3<(xIZU)eMEBSWXwN>-+VuUvU8yXAztQ;0&xCaSe1 zI%y7g^z>xi_)xRUaP(WW)Pf_T-|RVPmt%#D2~YnSS``Ao0Dy9QzJ!)f9M$aDix%5!Qi*3SbivWWRAU@P@HgT})X^*gx91pRKh-$-^iiizQwY|V( z=vy2g4|K}{cB{AHDA+*U*ZgwiylMRbNP)s+Q!+fo1q^SLE7i z=q;xAoxou>udmiTN(RhJaP?(k%LIRpjm9m7pysp68g7`1By42313ZQw`@F^8U~K=l zMCz{ps+wkGGXtP4ZRBuK%*KdXK=+SZxb8bqJjUZ^PLEiea%c0LXY~uWbv89Dnf~_F z;DlCFbZQn9=&;7hoGzm^=Y83fCP*@vET!eN!CXoc>(wC>ieQT4Xsx z-XDJI3^)-(*kCQmH7>m0YT;Vu8H0oVcexa}fP(0q3vGJ)%_(a&n5P=Sw+k4gB|^)c zfr*Q1eM79~16%d9GE~O@`AZ$BPUoQ>Z-Sh_zgOrJQY$}(?)_qE z6+G=@e6FTrJFDH4=evmDv!FBE;>41T_p^HcGI9wg&$Q8@;l9j1-*942lPnKYr`nB2 zseb5%YX<*!ztV@P+Oz1vr75(}g~h2DoVpULx?}qxKE*T;5@}`6E4E+Gn1msX?=Kn! ze4dXaIhl{ZN`O#eum*NFZ3e)3wr$cVDKxR(8#Ku!tve<|RI5$1E(tZ@jR_-!Qrb!= z$ngG{Fvi6uEnmAlg<)@2U@7BkVOMTfIaPuy%`FQkX-7CFB$mJnWh15F|3_0whp#?2 z%*m4RW?EAI=Fb^X`v10heT+XcmH}E6q3D<)c@iyP)mC4+6nEbNCHq zebJ2|qOS#RbPo$Q$4>wOpDM~e&l5EtZV>RKX}jTqb^r$n;4=K!7y6o9YIadK5N1z0(l*bCg7X(J<*OWf zct3xJG_zzy2*-(t3ZO;)$h#`o8X>d?oOq82Ag5|ehl0h<9Fr%F;~6T@k{b~mCgMAS zE<%Y>!w-y)x0YPTrbS~x)LHT&hSx*_iOUf4O-$5Y6oAZ0VQBLcEyA1fm?Rj`Q{%k_ z*#r(0z+W#&Y%+jSQk_~F@EMK`7Q((MWhCqh(PcgZ@u;FrubPVT?0Hd+4HpZVURv5v zrAKzYue++XD;3i5=@;dN17}A(-tDU%PS~iVNheBshFXy0nY%~%^suQo6pUX(bV>s*EgZIs%Hp43>xWs znjPT8zAK?eWZ3Gr=26{R28~?s7>+*B2QXY>KEf4I3lM1~(8Y{1sT30#2xAaiJ9tKv z3iCvXE7lA)5~zG`ZFe1mBurBYu_hSGb4StEMJ9_PV?BM)0jMFZ z^%-XbIzuoYFK#?WhFwrhjF1D3l2p_HzRrPVbhzGNn**1ajIHTt0)(*NkNNm1*7ena zQNlTO*EYf!-9*YNTXFEtssR4yNdbU>BfGD9c5MI6^cKV%4XP=- zKsja$?oZd^@R1qUUW`d6N&ImmseJ;jCPxkfjwdT{+S`)-cP&5iBA0Z+86JQ$(1Ag# zV%Mx)pTf>d5ZeX^YE}YuBJHJ2i%{r6f1Htv2Xb2uyrmfFdr~)-1~s3`urbj{H1KU7 zcz^SdEd$YMKghdUuAe`()?2nV2x1o+>9|l1WbPc4ui`2~vx0k1#!upi2IEL38OV%h zAJ5pqmlAFv)Q%90bd_W65!0~HPduO0*(totKxXMNe>L?*oOV3LW@h9~ln`@B)g4>p z4Mev5u}dN4JK95G$($&T5@XVLcx$Zmi*kpa0N<0#=8!9TKWNOd==23W6|P;<`oi zHs3)FXyJEc0}-v7?!{h$Bd&4D_1_RL_WqzLk1eDvxVAD8F9{+ahguVCfb*>?c>>kJ zSU$90{sM2ssf|$x)4y;=Fn-V@S7}|yTbXzz9B~{*IMSN*3ICC}imfbfb5>Nm*ryKt z)8G96HPUl?qHWq3*w__c!7!%3v1cJ@v!~-NM@EM|!z>~+92G+ZKJq;)Myw!CY$YzP zfA+x8tA!6>hNCXYU0f{Iw4$uHd;EuCc(0nzX^L&W?(!XpV!hwr%CfGe0M0-WLZ~(?u-RA`N)`M!10%hj5lwhV8p1o0 zk{}>7@zCc$(jG!d`&=|`t@Pa+xa;@S$$FyuCygF4U z;h@uQXq*+iP7c76F7qGR+g0bny_kbD2HGImY!dC*E@va9=kE=!ur#D|i?6ch_hqok zF~D{XSps+p7&nt1^IDvDYInt`e4-9V-6rt#*Z!6RD86r7*v%$Lfo36O1)#V{`^n2! zoHH)YASq$&8|X7eXv6`%>a)6^BF)*Pm?OZu%gF9Gn#}TDeLPS1J(9-bvm7~;e?1m2 z)U=lt!Mk+)GfqTn1R{7*cR!PU+PCQuIMO9Nga)JA&$jbK8Z@Gd=VkG#I1EV22jDyt zzUFF(HRr%Y+crLYKoM!4HfrC=PYIpLhs3mh{Al)FYJOt1?IZn!sdA$v8Z1dl{^gQq zyg!BxK}>`PsNPqU^(6;rx+?PnhXDZhrn`c1v*PK^N<^x|XUE@o?|Pp}^NUOblnrpS zfx_L5!o7DFK5lIMv2gD*4TAgkuKn2`3Wrk+7w&Bo?*H_{<5}TuxbdC}w}In|!hKs8 z?r#(xJS_ZNoQ{h0@$S|)BujUPK@o2@;>{1?X9RzjrpLPUU{QL&r8^ewRS)K=?&=qF zf2(m$M8&}&h?YrF;O&uW^4SjL-Ppr6wkD(@pd@$b;c%lQ_wAC{2PYg$@;}qGy?h6b z4kdY!E-4~uZ`o}m((RFb=brRH23`}i4HNk4suhZkGbiclmm}|N_cKj>ns-Bs;#E2B zc#w3!!r4fia(w{OUSScU+vIp-qhj=yyc~tpc0T+5Af%x#Em@W3y{A>dSWfgACkp&B zoR#Cc!${N;5!tJ9{P(vinu!`|$E%mF`o3zi@gFSM`_QhH{u%7^Q${F!2RGI=+C{z1emQ90v1Vx=UF}{CIjhqIV z7Rbn373uz@BE8v!I)Qvnuc=5H1DdZxFZ!z@z0D%md>)Ahvq9%Y_pdQXf?h)I9hR+;uVL8qOZgSTL#4I=f zI=+7&es+ernntD+8Lf(RH;R-4p|godnG@ZyC3b>Nynj#S5l2Iw$UI$KyeiK72`!vv zXgh{T-oGbt;`_&A-8TT4wYeXAIF7kdvMSntN72)v?VP#Z*850LJi2HnnTjT5cs?bB zx^FM};c(;AH_QiE{Ya8apj)vM=lUF-86Ef=@39PG*Ey6eDu^!I*(lpxm92Z2`**n$ zAKEC|bKwmINbH||Q z3C6Q_cyAyphQ-=<#tWw#aLU70wLpHpv$%z=A$Qg?1n{*&u#@15COkDZp- zY2u{s`CWHKYPj=uZ6V?NE2CW^5%T>uOc=Fu(Tc`o(d@F}FH8j%&P9Qk7~5NJSpJIG zXm&8xez^2^eenqky+?-5-d)Z9^uq_l4={gco=Le)i;LcW-7Y|`$7Kd0cvc5>!%qLw zm*SrE(Y4`Bp%Ag<v*`?_WURMC$U%gTw|x$v3Qx0+T_t- ziLJAc4^^ybup`UzGyK$~FFV8cy<=hS~%p2Kh=ph7j z6rj3rELrfDhFK5H%T+#LULk_B<;PFB)1V$&=0nt`ovN4FNP$KheGjpipJ?SyaKkds z78rn|+vU4_#h$>5>?p#OW`LWxko31jGh@mKgaeunmKl-73lb_TdP3vijJe2(a7!(a z4$4)|&0L034zj7JlWyQeIsu5rz@iwk>2X zAO<121PY}3k_`GdT^Pzsj7v>Q;;NPjdcw!yIZdTBg#h()!P1z=S=krusyJ#{;vr0S z_!N6q3^1XY#5q3aYm0NeuBVTKEK*Yf;%H={I~N%PWaPMy>Mmoz;WIoO>j2p$SmbnF zof8(1tE{jrk3yH)`xN2G(q1yhmaMheA=2hDFSRSSk=1#^@QmVUk=3;g>sK__0->)h z4i#?mf9y$#xtZtVtCeb8JjV2Hb1QEy=GBtS`!qF+YF`^CH;J$!*u)VlgFy++#NV4@ zKns6eD??&R=Y=LM-3bY?m6xZZxGis_vm@LRCq(X;E1G!6M5NJ=v=a3Nq#{I;tY}W& zq~tibp|qa@tIX@Jm=d|ctXghHiF_)Kc5AfSw_CJ2ViW5d4shJrht`zoqRbCGHt1iY zfENL-zj0!iOZ*{AR0v$iu<3bec>1V&=5Y9C6U7 zZwt#j&stN?3dM>{J{SXRpj=Ar^IKlkxTkc+LTO^UVMXR!A_lRm#3(pVbt;aKV3Z7{ zD|TfcO=Z%;UCZ&MiGasvMBvS z*&4a?Of!&j%KNj4>|MowlFOV7qZ)^r3WBWc;RXqZFXg4ZS zp1RR?wEbj47n6Hzosd@&*s34$b~~X&2)QWiPY-ib)J3WhdA;g+7mkez?Uvx{)f$ck zuwulP*SKz225r)a6VithD34Ep=j%j>hUpF&1`k?`G;fzQ;)M3bqz(nJy_%AHLvo1^ zMjFslNc3Xb%HVF5G^lV)?HWTtv?RTdrcu|W-X%iWasV~{#F`h(QSC8bYy{9qE=O9B z2Xl6)I|+6?&J(sjJ~hLg>J=G7sb(&*0KM=jv}w~px*(}m_7kb1Gy2hx8Z!n*CurA0Blt%rNW!fj*^PVCPtq3C+o|1k%vDP;dYgfR-0r8GaT&L-_ zd(M*!<&n1NoXaC_Pbm>%)fpDLZUbsLu83>_RLV5z{&JjLN6X=vrd ze6eu4DiSJ~uMznGJGLjs2awEDM4~Y!Lx0oeVBiet!XwTLT9QDCehNakQ1cKO*pt8` z=*&1-d>wHqQs5Vsw5lP1O^j}cfTck)96Pg==z2H;X$ccU->E={w%(9OhxwQc1Imiv z`ZFQsQyDHcvXlf!VtWI#F-8bs!$IvRwBLQWMXq+P>4T&iu`eW>G zb_^l43h?G|N=e}04K5Oiz@B(PVuwR0644u*GZ$^CCl!a-ZiD$roy(6aoSfkwyrA ztQ=>8sS77zqurYrWv$YBGHrt8d7y)M_ic(DE+6?}`y>Q1%6~Lk4z-QgF>nYj)1tP9 z=Yc|6V^?lo`mV!jXUQ2Wv1COjg`ap;n@)mAZSpYCIN$?34)U&GBnjYx-8E*P0+v)& zuL@9`<1bBvbafytrg@`Y;Fj)qA#8^14MJ4qobu`xA$Y29>30J)oHo1^U9B-6mV7A; z_G8ry!S5j(pEp*o#17no7JP(aMcZvD4ml#wG+ob3PT@mL{WJYEFZJsy0#9bq9c%nC@}Ksfd`gs?z=n8b%-b-IZ9vA|lWJ*P&=!isxv7UnO>ZU+(FPmG2QF92 z-KKQOX&_OraiAIIGJ>Gf3|nK&y}qhR-m@HcQ%ze)Gcj83Ms91isoG-)l~01|;yw{? zi@UlxNdWZAjk*zoP$>u!iS>cn1*+2=z@gM(JC12trh#CC4EtDN>K-d(;n~#ats}Xz zFAjy-C~C3pMSp|ZOF?@+gnUOIS^8fSA>H$FR_Kcif?izE#WVnTC~gt^zi}4C+BdPr zY7t!r+YEk!i1gL+9nrh3-?e8%C1EQ?15ibPUoml?V;%r}M}Lco5Jx~on)uTT_On;UiBl`ak-`x9ej*kT1P_fm=fc|*+6$JMmLDomP zo_qJv<(w$ai)J4qM_1GQ==tA$vSR#l9QuW1=EuPOZrw63K{3I)f(hy!xST0Kes?4) z{TeMHMv2mSs(vWW%h*8^yN3=(FBb&CZlQnrbXZ<`5-c@*rTRZxUo$Clj zCRw~kt`0Gu1qXrc2gZN>XZk>nZF1T=O#n~K8Z>PhIYuz() z|1JkcC2Mz_<(zlNIwNXDhY*VzfSo4o0e_gb>gvK#4eR!#up;bh4g(Irfr@Re;e|v} zSq%5Otx^&w4L6sE3SMH1p$HX+kKQx$il8?@4WfYaEr2q@QGZd> z`c~z%Z@B_*Q))(RlrS4z-2&2yrg#1YYsQ+7ZYp(9tvVGWpzYlYQmpdfpa*=D&{02d za3C6ZC;#;=l;}NhrSwXb*#GqfPP0W1YG#JhyM<$R+tz{RHQjS4i?0FaL&?9 zO9k6;!a+xY^8;k~dYLa0(9+E6Ivc9|y(z(y3gQjJjNr7zLS%uVj=1}$9w@5kp5#jK zlU08J*8l-c`39@9XLZZ33||M|>v?xJ1y1Boe5wa4FudROMaj|PQH7EU1Z41(vae26 zeXTIBRn)h-HYOkM3^c6n3QbGlCaNvIbT~NJs%Hbka2(#`5HsM1k!pl^hq*aQ;4fND zgiOv&hT*2cGG`29(*XLKv@z3$;2mL*4=1^nM1*ERm6ho9qeZ)D#j4nWqk-V^zs3h~ zt_7G#W3p@T>yF>k3R5&a?)NxnU5%B~A81>_F(c5!vCW}^`4W$o<~iGZ*oomBb2OGm zVCD44p{XR~!jgBERFGtuG-BXbju(=|6`D(s3u_te8$_~pa9OqXv_IFCFn9*zViTGz zdmwSuh>3V5;a`dpOZBNH!l++&YuewEqTSQJC-2WxB&LO$3#V~#R@#|PjE6WI4ZZ^c zKUhOb&61((xOft5VF=jcOspamYsM)y5jJg)#xY5T1o3#W3fho0u-jJW9iy&EKVgjb zv=rCPa9}ks46qjvCk$eJjzHZvRFkI*B7-G+K3^O~?k_wgQp)m11Y0&@fx(Q_kJS_x z#yGjy2Ezl}EDCI{k2NBd)AEksYWuIh?=byAlc8EXS&4j2bFSPQcz$Aylcg~M+=cU$}>L2|F zDI>)LeC-5*Jm7BeT9+^IQqrrFbs_1bjnRCr-2<%$>lz=tAUXt~yF5xH2mPJSc(DBVW`N5}Md#o7wb&i7T@lnL-@J5e^#L8s4u&U&f(iLaUkpvZ%FNi2=A@$}uo;CP zvrn5H(&ouGBxEh_g>ox|)tUwW`#9#0FJJ#bNkgsu`unDps7J8U^(-93!jgrO&S? z1A+pZAIr-pAT7dlpUMIB042;3{s8JJZp)Cu_u*;=!!=+*PzsvUzWz-MPdNCkQQZTn zJ88i=0xJXoJJrEF%X?V%^C$Lsr5e)zyx3?Iz(Hs;0g7zlCG~FVma!v;vt+3a4!Hwq z`d~X)0Nxj${RA~|eBn8*?qC0tieGwg$Q$1OND9E2V-zC~pJaQw6$g%KQ@3L;|A59& zaS8QSXwdw2zSPJSH4F#aI3{+Q4cDW!Xhmv&sak9l{np3lEWNJ^so>^swI|t78^&ZyOVTm{ z8UO`^Vfv&7$po8}0-#sDU5$0(RFPUZuSMVD=pS|qU2FIZ*$6D1JVT6GTDnA)!fWkV zmi$t(Fpp(0uadMMRvtqjomtESi4PY3+&aK7*JK$m!auwk(c2xq=KVMOVpc0`q`P{j zj@5`t%vYSxG=1eP6!2iEi&mWPJm*2%yRZK#&SFoh%^BTu{d`fo7K4S+zhInMr1_#E z@w+QBc#pj$et$>@As9XFyJ$J#bCtoSmfc23$~XywqF!oRo3~mmLm(Y0LCW6#BoC_N|vMG^%TQm_1oo;v_@|t*NxBq3w`G z8e(RUF4f>>Uf`Bq6vsZdfFSkR3qIT4Q)0P>-pkSs2^UDT(&J{6Bn;PVl=Lr6AK3OZ z<&w5)&^~fcTdRW!R0R^53;eqq%;8oXP+FJQTMI4#Ezk*Jr3&lDiK0)bJW1s^q}A3O z?xDrKu0oTKh}cQbfOUJ2%{6EY1A1RO42?DLP+OhI27(4-+1967+g(Z$ND}x(;Ii)A zw{1NUnWadKi%M&nDKcJHhPpVEBGknM#u1(Xz~Jj?$1x^~VoH?gM6rP${rdOia@NFs zc7scQT-9RzwS)uV<1Nx*Y zNLHs5&Z019=z&W?EGcH`#wkvpMuu2x^RK@rQNz*T;mGAd zm7}=~pqf=qqJL0`J=#fy1^lh5VL@pzY&@cioH<4-To2%6fd`~(87#KG5?@b6$w2$C zdW*h;`CR-RtYrM}tOzfBJiGYiJSE>5h^ARlHh>x*j;dliC`uJPIp4v0DnvH?oMnqC zTgm1F{*(6|Z0(4+L%R5PR)C)#a&ZPJ0=FQrZexo<`s{Ohu2_f)c}PuVcsi{d_5CpJ z1HFg|#!@BZh)@#ODnTL9DkE+hPz)*;b777&1f?@qkSox+<9`F##VO@wjDybQLo8I~tC&{q%P*JCnbZIbgv^bid-)kb@Msp&Z}l61an$0I8W3 zK&b>TEN@m2w+&K(3IsZtk4Dj-LPQba~PV!Ch`hJCw;aPNZ?pvIix- zNUg7HmT1v(gv`*suYXg~>|fKQ0YLM><=XK`p$yR|AyPByGLm5IMx?7k{ub-5^^wb! zt{r9%Z_L4U3V853u@)+x$U>=#hy_neCq_D&cP`r)^45)J5r{{^T!=LnJdsDuLY-fF zSkIp<1P%|&ND52zAMPpkjBfHl^kwWZ3s|TE=_p6D+T}{>EK-cmY|?Y6GtQymd{!hj z^O{)$pzNmSLyyN2rW@&09{bdWsll;c0D?i5qp`J~$lENr9MSuU9_{WRnt>*+r&^jL z;6lw%*}~y7FuG{!V|Freho`1UCc$_t%t2PoSrj4?$n&|QIpvBJP?K?aixzl1lemK* zCXzr;BCxopqzn=!3rwsh#c^bCQFH*!!N*^z-2DJ?THhlZLF!B8QQm}~w;((;&< zmCy0@S|00B%zT51F=-{1@8|`5T#7kiEOU?4flu8rJxa=Pstaec!!YRn`ZsS`#XLY5 zb&`;;0svla$JVZ9aM2k6p~s=x-~(8V$0n}txHf>~XPIehb_Y!=u>~WX^3`lG0A$R> z^FpA@&-2Dstxgj7K?!p6XiT!m>qL%i19V<8a}qnatF;DTbp2KCFbWgKqMvd*9^2?- z1#NZMDdV7#OMS7L*{O0@PY|eX)El5zRb?r;j=XQk}#`;$GxSf!T4JQbKh_?I- z8nDZ$aC3s7JZVi^LepcH&tTaG*9`)XcI!iC_HcB!+Yos79CYm{iLvjV6L9Qx-wifO zk@cL@xM?LKsjvXn$=E_KC`9Y}Uj?c)vDi3h%XZjPAl=omSIS&$x!d_Q7* z+N(~CVJGBxO9Jr&QGW zN&iL*s1{(aFqVkBc=MuCh0Rox zvo|Y86d1m#3)_LR70Ga}KAXv&`&M>W5@Ct$Yz|ePS^Bz?A;f9#bTa|MalnmDW+n4) z`95dEQ&8zEzVFAiwir8cTya^LiORV^T!8w^R0@r%iBwgYm~72&C5xh|JMKaa}TM_k&4l91m?OzAW|}RZp}+tE0t_ z)*zzJ-YH`vanUn@8H4H&YK=WpUC*2W=)AW~(fY)}^_<_}t2!3AYC~F=XWqW62Ij0k zp|Ayi|M%Z$qdEy+u?RYGzQ9_osY^hpFvySXh?yax`PL0BH2L`gpvl5iXW*>js;Oud zEknDefZG8M-e9!fcI;9qnGur;<_RS9X8HB^d{f#o6pIUw@EmO^)u)LZu29UpO?y~z zuSjx5aA!p;{tYK9Q?^!}(I-@$K9@_!23ce_r>QONC4NwD<`wE+Pg&3K+rur!nUq4PBG=G;X)5Wn-2m`IqQO%Z@47podCiF<4b9wCeJu z$neE{RzQY;ivr~O=~I)&qQCy0qq}W#Oa#*g zaB6G5eElo>o3RPhoOcMPN31KFrr062@+KvRs#zQ;{|yl63dXr}p*ko=>zGy7NhAbx zlHg{r>|rL86|^eUL}FP1oUxIHQLnNGl0CFIN^pLL#{|qj-_H2`Z|2st8V&2H&KF$K zZb2q+^=UrA(!{>JH$>uVbH1k4rcb1m9FW^1(vnBHLA5(7g4pz9<(^$CG1;n~7YWHAtosJV$0;R?e0wdNakCXH!s zalg_YfkOqr$D%r_{tf`ZjRB}YOT8|Rc8s=^7TUVBSW5E*3|<;k-a2^R{sr!T*>rW@ zvTqfc;0)Q{D$>>ng|8TRQVg(l&3C&QKm(9A8JIjC`Il(wZjyMh!P3Ii zS$5*L*$1d#c&=lOUN<8GRsv0>(O6QfJBt0%SUeZ9@McL5niItq>u2FuNGQ!oP>8_* z=3IuOmBF{lD2q0ih=f(%L;sqD&IWLY<&C8TQc7%lZeaWwyYLWQvE8LYp`5Z$YyvGY z2@SEM(FU(=NwP6zU^vtNH@+GpBWdVfsGUmwGxms)a+G&YL$BP%`f+beF2YLQDL7Uw za{lITfB0~QO|8rwqpb(2OL>3UGT##xn><_7fCymR~(##<_ z!)4BBXyCGv(!}nFaJ;lPod4i{ebl}&&G!qvwZQ) zS4>~pCwf4ouqdHvO_vV*rP~>bj0%3vAr1O_r{`!`CAbB`d{F9JC zPGgc}9E6FWZcHKKmS#DzyJqseobdU~M3Q5rvagt)Mxr~R;KP_%j!2*CS$=@x;7zh! zQZVL=q%+s%=~AK?e6J@iCtT+CmmYgo%)-2{yZTc1h%h|NMKfuN79>9^*K|F0(iXw2ZnkjQej9`*sR1y^-GDpF=YZFQHwq!BDUXssXufs2@se9{4O z7x{x_em;8Z&$}KgNqsEpnV_t4hC@!d!f?jOPT#Y=I@P#u^Nuw5$X!&z*;Kz^Pd_IY zOmVfTBCz7BtcX|FUGaj2P9`C5E{XAi1kS(|M<-aA=lb5FHp0?-wd~J+^Wj6A9syA^ zZULxSY2C^B!Oga5`iIpOf_k|@Jn%;1 z<%+n@O?2xP!P71M&)_H?CT3Gy;0pEaiax7U>>>apmzPA7L2qCji$k~ZCxf$XP!8W_ zflf|j0Vvf%z4dgOQw$EyfTiH0P;uk7LktUR%>o6L49xN9@|QD|T$*lp{cRh(5~! zxHK3U>VHiyqD`tZKE5y_x547_Fb|+lhTpToXu5Qf(|?>Zq&aajCl?vKQDpESV|^_xmD+Lkuyr$T`x2He4Kj&_ZDE zr>7Z_P@2IJ&of}`mN-}Cdy&>GyKFSv)c>wo@PGX64g1zGbu) z7zKtn1JK;+AM6NEQj>Z;*fA&q%VlIRKZso*t>HWU;P(~Mpk<&*4$i{y3p%kh8@pU{dbhALssfo7q1Es zK2jn(J)anR4)Gty^3}PgUZQ0lLX_6Tiw;oH)Tushso=K0Q|ms|$2QM3P4sZ9AW5bL z4{#iXFtxpuMYn8S3YAz;Ybco|NfvJcib9zG@>DPj!Vb*1RMM8rz5Depxn+^Vu)*DEtXbiybhY+H|mVgZ~ zZgtzAaN zFd%T>IOEt^(Ii#?#p=3GsT1-ZE{u?887!kb*B8bMfoph9LszJKOkECu*omMnwtE9W z&w70N1IhO5->(@Fpk5D6m&wvj@}*$Ejbokft%bx)y^HX~#OuI$(7OW9!xr_tx5Es- zr1jiW`drrz)Leut;^2?7iJyrH`cbA3AKj$c0ayMk$_%4|m}sB7VMT#?q*D`=$Uya+xCbCMHLDlI%NcOFZy4=`t4tk%MOb0}dk&syr$Z*3I#B zq<$vZWp#?f3_cQpk+5U2ddZ43Jw9U#zO3}_WpBoxX*D`u@|slN8Z?MyES?NiHFT#d zG8|hoIg^u11+-i^nB@)4AV3J6O_hIONi_L{^OEEoX;|K90nCf$+ls+YE7QfsLzk)k zIc?|&tR|qV{a}eNBtHOli7m4)*i_5A5)e$8N$P-3ls5TQ3@Z%<5V(a?FY)9B=4hQ* z9SPDbpgrJ&doxe!STU5KLO>rlK2p6hlj%^OR)E;q=kKN)px2-V!Ayz6t z2Gbk}opMha2}xevAFvH9IBo|o8>NCdUT5qIbtqsji))rvy9Zl*-_p^9*wc`VB(HQixuLi0Q_(SUX5%^5UGtH4O*I~>C zq7HNX_Ck|!on96z~=1?pU(WsxJW<_ z!=47}*S9E!p@dA?75hCYCJ5}j2k@%J9(On|)MVjHZ}O3ofq)0}!F@-6#)H>k*Yx=p z%+-wrh%0RF5y|7yGD}o?LLbs#X@RdOAz3=w5NTx&J9QG!i+KPpTU!jw&+6;|pt-Ke zFGYr6>%sL$HCF3!{Q z?4CAzIDV=sfHbFYyQggd2w|%TSym0V-C$dyv4Mil^ni5^V)OJRaN87IPWhkqo=G@O zfaPIHd@|TM^Bw(y%_f6PO9t=>?z)GfDcKUX(te(Rv_gEDLqqaWfc_29G4h5cmNp-{ zfhL!(P^q?tp-*2BB3`hn)D4C{Z1aAl*0wqdppJ7x^kD6ac@i^(k)_>xW*-D`WmOU9 zB=89b)>PXu+6%*x?d!6rTW!>v9&khoi{={@#E0(&V7w}rlD*Ntp>zPxV9X-gj04xD zAzs1kRVe6VqgGvSG~8g^jTw+e|Mh{CA}RwxXKVr8JVr#+Q^F3trThg%#bnUS8l z9JgGDcM|sX>;RmUGmYWJ;Q=i;FE@x!gQ-FY0nskI(V+NZh&x4Er0Foa%xlpdVFb(8 zBDY6<;cFr#?FtK;L4YjSmA5Re6a2Y}m*7EV*I5Y+k-X4aaxMdF(tX@7%h#3ep=&J216m!5;vsVK@I9)mhnoOIYL`zf?@dWaT2+tG10ajNJG0C=F`9< z+`){qp;Z>v^yWy9hYXxFj4D5`)R70|d1pjg6IS!6~BS~6WX|4fSl}UKb$Lk@mpSi3 zQ!unbsFgH?sRtfWgmV=SMck<%d|%tKDn`4EIi)Mr5ool=fZK}`-;9HDy*>0ui!6YM zTVrjsNEoP=wRK0uq6OL%Me!#W;aH2I3I(tortDQIq5-_H*N<$_%o~r74bCLCg&iWG zxLTD#1kDy@|^poVciN~a{ChAsS5(uj*)=7g-bXt~Sp06Rqr*N8fwEe5uIq>o zbGqq~mO!9L=LX04gt}im-Zcf5Y8hXc!C+RCBfA}8eQs#;nrA|bJEtU0at`CaH9vgd zOAIV{7F>a0`bhgvHG@{_JRg0k~<#U~uz zn7+XVrSy(od~~Bv*8G_*WaPd1-~8)~PmccN`O7S>ejmom_uhl|{_sB8ejho@_rdVq zTfPqmI>CeYD>{*WA5gjVsZ^v6Df45j-}>${buyIdzwfrVm4L%j82@-u$Kajh9{i1rCNob=-L}>6O`wf$aHYi7cXvHPJlDqBV^Vu$g*|JJel_rWmdd$fp?mkn+hXd# zX=h9pOmAKa_>pli9nv*5zt?Z0&A0JJ`=u#!!$AFoEh*mkFcURf-Y{aL^wQmvwi(w9 zC*}@3VpcGQ6{5q~a|VrX2Sx^qx4P%=->mx0-{eK`*4sIUqWf2xk5x^JHL1eqe3IFz z%i=YgW&PIMWSD=?oedspAsySX zevVep@gt$sOkJ=T9DT$GR$X#hi``=s~Lre7^KzK*6?Fw6}C3T0Z0DM z`h~kGMc#@t-m2#Qk~6_QXTo7J;3|d-F^N{x;?;99V@oVeos%BewmlQNTOS_qQ8RAv zpBXD)Z_LZOi8(HhPUCt!<#AWf-jYTBJ&S?`ivnrX)HC6uR%-TbtR(}}qI;%ko^A`$ zYU$V-hVv0kESqXIW62$l);w{RJoz?@{LPs!n2oC0gtp17a6SSxkJjsiv&kw|s+}6v z1osVb8-}61`8XSUY`*@<82Ga#Uu#y~7rI&uKDze}@b4C4Zy0~$8~+;&E8BkjU8SqZ zjfE_f_Kj?cw}#k~Mf&MN)tD#nHeWp$#ok=_lew^3-8lx5!Em5QcP9hS&^7I4d_{FdpXOk=0NwJG0q)h z202`|&0nwO{(87Zb6rF)8&kW&b;~ugHWrqLZzpQ;11_y4j*)KJ-C$%J%{4OL+>hOl z_iO#YpQR47c;T&I+;K*$CtRwQx4D{k$Lnw{eaUQ^)O=eBY`kj!BYrFejkJH&Gv0%K zG_)(!P`$NEx18P9uig8hs9$Z$(#DiF&pMy@20rmz7OX`{^J}Q|Hix47xnDDFoL%%Y z!+(wvIIa+zZ+A7W&*#Sxw7XqM?^>1z-l?XALHXks+pF>BB<4MkxW#6}y<3tu->9Z| z1-{gBP8(O~)rt_U#VTICSSf$2PSHZR{dT?bka(7LU$h(t!J2-KV!GUlj5|NA>7^_2 zn_dKu7`_m}U~8y8&<k=^BtG^i}RRdE-Zs)JcMx=h4FsI99ZnHl&fGl`)v%;aJ?4B zOQsLp+T_dT%VE`s^+=s{i)I{EbsD1{eDwBNaFm}Fj|+B;Kq`%n%$x;9S{q4+K=Z58(K1SzDA4v zFx@SNxj)M`@Nbl=xqR98qtuy?QvEP<=vy7JELYnZXhaxohq(YO3`FFbTH+Z#PwEcy$JDl;2fsAIe!`*mvXDoHL^f7O{ z!QM9eH4_nG50l{dV#URAo?Oe_N_+M;wP$ZRXl3+7>v=DE$gAae_BVGTwBY_vfAZl& znm1`#v}Tc672AFblmsFZ)@`0?kAW$;(g0Ok=6DSdWdIJ};FiU2^uI=tWwvd{ww;6y z)dyx_=Etnbzrf#oG9zxOH|m<0q6+xl{m%4k`oqzP?Sy{Wu{?T~9Zp{p*ZM({yPkf5 z0+ZN|+#vQ`Sh%F89S}6mFitD;^Rck(0BJP^k7H)ie_T^P_Ix{W9c$NDuz_O707R^& z9{mgRoOjel;xIfa;hRYRLnxj%>pK!pVn3w+b8H5H0#pWj7xtOCFI5K%y{c329%rkt zOMRvC(Z4%Yu`3l`kG=__v_Yi_t;~J%u^RV&seWRd9f3FHozdyB$hA+pO^K{ zl2&|_l58o-)+KpC&HY&i7-r@iK9tEMYj9Ov2E8* z0>sXQ2^7pko4lrZDz|odm0#6Sgxhvz{Fvm~4#U7_ldWP0dn!t#O&l*Ur_$p_!ISd^ z_RTk`mE+C&acqAO*q$Ae*aB4(o*2S~MinJHkpHxnJG$i|(UtsBhq_>!l)H4O}( zwatCq(B8UeWgZy50sDKMGXxN*8tm*jUaP6oKg#F5KVNW{FM3D5>|i?~EfejPQGi}z zsj9?aJlDITWWe5P53d=T?P=;a*KpUYdPd9EMbQj+Gk1NOlE51ZQKKVxKoXr}9Rm=9XPX^ph) zSXKiO4MeDCE~UCLAb?b6Bm%#lWeAV~+4*q~O|c0a7KgflGXe>t!UQKBFx1_A$N%gB1p7z$<6Xqli3_jp|t2d z6&fi4ya;eA=7||B*^^Hvo7X5##RqZa}bu!w5}2b1F1TOp5+X!M4kqJ)05< ztL`g<)7({vribNBAQ5Anca4LI&EfW#(u`i9ahiU@;td5Iafpn6kETq-H4?OGnHXiF zEU43Dm6YF2zLVfB1Ei8UMM2VVOoks@`+V2*aGoGGvC}PLxCjbAsRSSE?h^y$Un@jG zV9d9VZgT$)mVY!5zy?Mc1GgOCcLfN;iw!@Sit=Znk*TzpcT!Fur73Xy)2(6OpCyNyM^qK?;+Ab=*FN%bQy+E&u(N$8l zqlrY9X}jJ~rfUTLtjuT{yv#?5-Skrg)7cQrkdzs|+(U7}Yz)|Q$wWXd41^?nP+WX3 zGi?4$g=J%5fdgb3Uhd@v%73j6GuZXEZ$_Ozj|{oo6#fLJhJhXE@_Zwh&n?jihJ59D;&NXfm{zToj|>MG3J2TOj#|<^vxA zuRUW|?>Gt?VA>$Sues6)j-fXuVlQ8g$Fz)FAu$_#1c3I9R$PW}K)+AxPE(1IAfW`2 z!Cp{kLaF-pj#3zM)goK|p&HV3{Fi2Eu)}t#uC$+>6HXFJfiT#KAs&3fL^;}5dybIq zB!RR$jD;$3DgdV(*FY?eu7RIfeOH&rk>s>A1mJ+<8Gq;3V?PZiFbH-zL=EFkYY`_( zW4v1e=}Mbagv;Q4h#>%KW=*4~xU5SRS56%oN~5a{>j1ItN_%C>nc?_mnNh?FtWG3? z&8S0ak5>fL&NoZr0}E36syywAwC{}esA#_nJ+1z2MUwESsKgzD7fe(KkUFO}PO*?gQ8fNF9LgSn#DfHNQyh4& zdR7ckgNfn7`0?lYS3cj(q4M5;+u<06qfFj^>radVzV)f%5TrQPAjP$BAEqPin1h`> z`Yr?QL<%HuHiqvs3!F{pz}@Jqxu=oV9^s1po;M@Z363yx@s6(;g`zXjRkSrge5V&2 zeC9MMmi2iD7=jwJrE#utX8latK*W_&xXOgT-^=Zd2hw))6ydO%9H1T*by!yba)QL8 ztBR9Fs~tdCska#~iqzcV5r8{7*1c@3_v$%Q|M=hd4_|PK_FUggpetaP zXkBy6nG+d!O)9e)Ja6aP>=F13@h@;R-f+Ydu2jyag8-S}V%vTPu|D7c2ir5+u+y%IW=$GrtH%zp z{p47hMTKg6gzLRv0x;qaTtpS41pvK;mRFKFY_@7yClO|VOQq5-ka=A$V*>$Mg!s3#joKA)jZsi^P($5UqG(>Gnk9`9S4d5U_uc00PP28JLWq&|I(tvT24*3H5 z3y`J9X-oju6eP6eoUbGxm;q=wlDG;k4aAo{gm)6gO5a%^0wv8vq&qaZoaaWtRB0^a zFI4BBR6vt|8S1$~K2Gk*cLHz&7&eap-PiA#RZl^=ie;X{5Q)s`d zV8K3V$nuuP0KbQ+0Whap^P>iH06I~1GCyKx*V4}LlW_%-0ErGjX^**t85>U%UDC)n zCS&x3jR}H76YUsL$zxK}3}8nixT5(2g?G%B4B5h`04P1~6E12(gsvz3(LiX@j9VeF zjI^=LGgKQZ0S)l+1TviHIDm0-o)V@LKaslS7+9aGf?O78M6j6M7}Rb?P_o_l#-ONeHv*^RaJk%iqhW9Tpf6IkPxxvzQ_P6 zPotjddo=3ACL2M)D@UTJz(mhv(wo`(tcCInS_7{?0ttyEo3OMiPX8bR|`tTvcy#@Vo z@yEj-AAbV;3GpYwpV-K76P5vXBjXzs#)ro-eTE~(3LNcUB0jP|HJDtWvPSA;szy5Qen@Z?m+$H4z`N_xA zFKB1II^YFurK`?5X59;nC{93%{v9nc9OQxY;bAnN)t*NBVQNZlnl}xy`>ck^h*j$hdFQc%uT|FH-^k53WG) z%TyrzgDVhys{%l99bX*lPISX})hhl22)|L)4m>Az33OF_Y03AC;4URx%P(eK)0;>mbCVlcTVBX!&<$o67J8-?)|*%{?E%E z{JiYp&&wYDyzFc7JhR&TWtrz^Xbk`5uLO{tG#hm|uGxq0;<#=Mw5L?jsOh#Zw zq_!W-(2;+G$N;QhYo64rLMR^z)$UqHb*TX&nK!hzDD$($mJwlSMYv9iLZiLHR7jO* z>MLaw^R(F70iTj@JQ^$JfGe&QJA8F*Tok~siwdyIPRMl&1LQc}iWiGx0*8qexssap zOGovBBOrc58Gv9}R2kx)hsLh;3=bo>Y))9tOtms26v*JbY1QFUMB3 z{54f;erG9!A35ZPvib|oAbbv6AM$ZY7=1@|4~(6Kw+=oBY(N|F=P3TpO5)H+ExhH= zVa!4A<*+6B&TO{%+(4rz7SxX4J)Zt{+$&F^i*UD?fM} zF>f*b-G2vDBW5c7y`%5ZB!Yu$tARsDJ8oM!1YuPpqMIXVI(dhyoUG|9l^$`f`%=`f zN-+8OrzZl4f}pJEv+LqCdan%ED)Z{3%qu*s5Zo5=rD&X$MP3n6T*TavK7Jx0YYa~= zcNERwu>1JltZ5(?if@TZb=Dy~c1-~X2jokh;+XRJ9PySCia!TzWPq01pU=1nS>Azj zE}D!RgEWK+_fZ$s!Xbl=6goDsp}GBX#JxXYMvs_b_Y%h``s}+;G+Q^uzw##>%&{*! zOWzsL=a;Er3}$$BQ)gEbZGxEdJ!SD6uXN7%|TQmbvd7J|nz zb}c)GbR@VX$2Kb)nig%_JOilr0{hBcPW^;M`v*kqpp{t}J`wYriP$+m<6fAma)QBv z>Pt3iwhkopz5`-GY-P-6*dj2kvts`tb{jKbvSUZUe-(l$LR!MqM3dap+N|-bKr^&8 z&4XYXx2#P3KKqCz*(j_2MYii(0z=gIaP54#-Kv;~+HMa7MHK!ci1*#LBI5 z4x@u3Q_!@1P4hxRdLt!HS29QJQtoRzHuw2X>@rf5%4nKxCXUq`NJ(GA9cJi{kq~g$ zdBAVWO>A%0YTZzJYtdp%V_v9=u@LN%7rZNRR_~5tJ+Iukfn292TnbBH*b}+&Mu6$f zyVn`JcU{Fwb*zZ)%A$Ma3cATek%st-*x94axNGLH#hdh`f=zzuiB^gW`PK;0AAzYZ znx4dj;p$Dqyg^b(F<26lz$7rgHsU{rmI8k#Yq*^33dH0aZn&*0&4G*ik)pvgWO%fg zz)qjW1WkG3d9P2*+w@4Y)vF~Z_qVApDHwO`d)V0E%3baS zj^>e82;ANtb4I1cssD40+tr!lhcgnQm5HNo)MrzrUCVJrUUVoM+(kUYP`%7?5%X5n zTz90HSiaRFRujn@Zn5M7Y)v@JcRNgdXIzS8IQloUnvMA;n#n-Zx2=GgN;z@qN;>{< z4;~x{w*%<^o>v26d5}uTw%xgOoWR)QMv*& zzMfy&+9T}%_kkQR8}%%)G%l()6Ng#;sf8hKYT??L!Z7y0xU@6&+)2>z6XFjGq}SQ? ztv^zYIN;4O=b#0!grweIiPJ&?CO3$YM2t&(kRYuHmr`Zka(t7iZfnj@UJ#>b``Giq z%{vh|!@b&?xog&pRHmAE2>gQRZI>MK z2G13JjrmM0Z&T7rXf1ed77{cW&xa!+=)IOYt5@-YN1y^hpPu-1KMzgK@?7jdQ-`z~i`yAKLWT*lig%kmsa@DgkKO4ksF)=cT zcKA5`tFX3qJV%nO-!I~GA!h>4K;Zam(j5e^qshwx{`!dCBu7D*d9gm_SF61i=e8$i z!rFi(n9V*(jS`>J;qYkY1QI_5R8e?W(0+|{SiqLYPZ7;N@I*?UoG@Ud?)WM8eEgb_ zl;bBajs-)W@_I3&bH`7<=dw2pQHck7p%bGF>^i>sE(u)xWsIONs2n7!4G$4uF&B)Y zo=oJczJwTDcx&J|gIB^-AsmP*M0W{(Os2yPV@Lhvg%Qt-M5>`K*|E}?(%J0RYdU*N5eC!@k<}t6< zdwjw9f5RTkgh(=a&d{iD%8QAely+6O$>8Wl?d7cXnFvWes+TvOJj;RHBIZ&SEwAqp5 zQE52f@k6}FO$PKCXR1E8nU9Pw$Ziv4>t4puvg2YQaOHK(o()hxTSCgWL?^k%IO z`zkM>XgQ_ur(&0RG;^qe9f#i1QXLv(WhWUwPam3tI14aVfQ4${!Fi}SLou4> zS)Vja=L6osXw`up>M^bNaM9v+NdQbautm-}>#m5ZScwB&-0_35QC!pWvmQoI>kXIFDYK?KHhBJ}7=CRf%)8hbNA8|J# z-HtKWDtm7b*mh{R6A9@e*#2a4bT3j-BdI5_e^i=b-?wAe@Fv2Ll~;{?#5mtn!Sy+c za-kOzSs--WC^7s|B+|my>GJ0;_^!-&J*VKyaU_B58i6JS&2R@!rYlP#Md?sEkd>p@ z4UBLUh3r{WaxNzTo1%x8=u9 z6dAE5OfC0==J;Y7_{^w@Omvy)61E{X`>5|lDxRW3RW;FRHk~;bx$881np4LK3_3EJ zptP{6Zlo{*(gIqYA-G#5b@zN)8UvnegQ#>7!k(KP=&dA|CA7#BJU^333e$O^)Qy7Spj5rf6CaKw2b zes72>C&3M>%#Fn{QzWKj4YJ*d4MGt+Zk8B$V!Ai{4nBywfgc>KuZ^M9yb{q#(Jw1g zHeud0>2qY0g;cKs@tSk7s`A@jKg{ZN5^WI9n~*fh%i~%;9bkqXa6*H2QFZ9+TdRz7 z8&e|yA%TMCfrDu!l~7ViBoz;CzOJ$A)(08AAa^9-e@Z%6747gt30WSx!a^o%Q>5Zp zb%@weB6g4j0r^8c+M!MA0GyY_nkK41_|k?Jg-+h;EOo7t4x7RBE=434*~YG}7}Qpd z>5*|YE%jyJ0Z4q2YsIP}1k%Jn048fRRJ*2VO<4~yrZqz;Oz1=jIuLnd2LjAVk!?0~ zU#8DzeOLnpqwag3*bdAsWA8~&caf=#^YZpXFFM!^c8ER7^@d|Pay55h3~|ROD~=j3 zRibV7m+zOBKn=)CaYL$$4-Xb6qE zdXA_R6Zw*dMc7u)Q(4{Yf0sl;pNaT=2i&CJo3=6PoZlGw0`GZ*{m3b9X~PkrI-`*! z7)k65vq^+$HYG~bL8BnSPdKsLqI4ZB87m~WUQ z=dp&6ZbTCJagZR3v%on7@v@A#1FzwP_&?4a%Qq-(jV+Q0KBO{^Nn$M;2oOfjaGCQH zmbO+aiD(J{6dE`Q7VUo(pm!v`7iUQ;iX5HLwN8LZiBWJ65a9NCw~5zeSMhWuv#WD) zAkX!JlmX+Z<3z=r+>&Gwa9c%-T-8r_=$DI6Yv>6kz;Yny?eJ>M$~<>Zl+3K$l@A9MNsYj^694+#w3ZlQqDV!Jpo8ygP{E2_qW=IVKZ|j34>Y zlnm00*VUOj1IeF6)@@a_%^HD)j(Z1ek(h*Qsv&V8D};w9 zMlOP8Uv`!_ARLxx9K|}lMKE=?<8WQ-$wnM9x>S!MH|W@ta86sar9U$B1_5#VTVVDH zESsS5)r9~)ZdK40gam$|fe9d)ZuV#R*@2VW8^qv1F1!Jz(XAzRCDJQq2nlQe=t76G zJM8JZIz3Rgnmtda{E2_Tt+}s9dcQydB)kRaEC3*34Nj2+NH8I1iwGmODNok`EmcA# zJxH63gZu`K6NwOc*JAdoCp0ZfW4Sd$=PvxT*$1$%5Oc)1s}%g2G=jo?k7PLrkpLg;8^ieUCM0G668R9(Z^0 zr_BjvZrl&=T&;0p;Q>iXx6Ii*!A)c{Z69GF`Z#BWnPlYBc!q%<^RD0?xDkzCYbhYk zSkNg13tpA8X2NMRdP#00bTOR14TRMqfELYo(R4tem8TVrS-w@%R%VN)734;`6556a zAhyFUATc?kvz8Udi%$D9a$3Q@&&j7vxi*3`*`NC!J6eySzfW`Ea7f^m$v*RE^RJhb zyDXvMv+cr!dYhibMs6~jCd~N4le&~E%98;CW{oiQ5@;p}eA@{rcT0~_k|llHpXf`J z)r>065ZdxVtMAF@oJt=43DN@3Hqu_m}h-WhlF@y`818l z(9H$)jL)cRk>w|`XKRX(q_49iE>lzeqPx zOPz(A^y6|v$4G`s$|`g@|0k)UAU4W(NobnrGlmW>VZ$j^5sAPgYWV&{iQx=gTu_qv za#$hFhYu!eRDBG6RPZWhl_`~jr!;H67yBNR6l0}mn0*ad3X!D%CCbenDldo1_A~LO@{q+YwoaSaHK`N;ZSqf%L^EoQa3~Od_RaoLwxF~lc}_u zK;xq;g&0P+x6#=$6xfF-LJwQlAm){2)03P*NJXs6I|-=nspkxYMu$#O2zv@+C+SLi ze1w|*WJa9kB2ik+8u`~1I1ZgXW##jG3h#D8df4DBh=SOc{y_M)JV)MAR|08b>#1nj zdGPF0?SNg`9i`En)egCK+}9TQ3g$tQ72oYhM5c)j(D%US+7A0&Hm1ZFRs)G-`$13Q zm`d(3tJ$ORB#)(ME43zZoY3UR)?=>gy2CPvBXt{qTqk1Q*FtJ&W2uId%FJ2+6G3Xj@qjGuj(}0@LWvUSu~=A+;G!hZGZF8}q44bm zU_;)i176**K(a%>W;}a_AaWEld38QARhpw4rmQzdZjAN>+f;V_dk_zy2TJb>rBH5bOzsZEO4DR6qlNP2} z5&Kk#JUtN0^qAEdghNZ&{G_?DH;BD#@(cpG87MhOwm(6MhqbR)IJW4y< zU{(z-`_1}97&+O*NZTZ9&BM#@62o>hVO}7KV}Br-5A&$cpWpxc+TFoC@?97W^SIC- zkt>KZ%v_Ua1u%db!Pa20qIZ-i?8SlpS5Qki0Az-~MKbS3bURz?+0=TsuifWns}QLJ zQ)3wyJKn$tsO)=QSJ;8|8fxI3Fn{pUyrFt&-@|JkRAgc$H|Li z4jkTtYR@J5o{VJXmf`oHpX}G|{d{tnZS|&;J0D94kS#W>H*z!FL&;{c&WR*4Kp9K- z!4tlRgofet{sZ${Nev_DhcR?Ne%)(8GU>xL5MS=z_4!zLjob{!ebrV7Mub~l1HA=e zEa@B6YO`k85w3RL`;9AIOsJ9MHLpxmh{r24x!O0LNR+F9XtdkYt4QRhos|>mYmOND z{W-bbU%QXHY`O#b`=FoA3_XW(FRnD^F+Rj#>~@UW$Nqn9b%rxckM!*OUM!o!3XV;MGx%-^WA7?#a)zy> z-%quSgafAg!pLI!w*5>yG!{j^5@`bi_(!7;NblasQXs=<^XP1Mc_y7?u|2?BbAh43 zn56JfHK=>8*cxbdk6_;;poW#(&nqHm3ipuN11|a-fV<$jAN6H;NY-UN?#$v4JHma zJ+kxwxqf|+E^V0uJP_d#`Pi*G@RYnmXLB0+%Do^qTwT=_4Jin4@Z>udT^Z!^c5yiO zUfIx*ma%RUjKgu9K&mdB!~hVNmLWq+Mv&-v9r!6XR{#?L9)U!9zjD@RDG5RZP)opQ z!_}@8I*nsS0_;&+&kisjVqh;$r}so&0?(#~W7Tk?2d`-B$UqB2vW$y!$U9Y<=6l3o zxlu&{3v{1#!4DnTl4E$c-qb5B0ifB=1Hz-oLsvEVjPr`2HJMS4sH2%n;pj>38j{a8qsbWT2%&o zRcct7BH-#PAv0NA?wkmn5=Y2kLs9@ZU2%h+;c52`t!7IS5nbNAaUwl!#>K$A*L{_E zcoG<$n$xZun$YR}jax_VR&^jRcP4T^EVb&*Zt&Q36V<41-1d3YkOnesGi8cw)^)~^ zYop(uI37hU+D`eVb1*9agZobaPRX`scwn#$QRV02n5~I7O0#=bOXXm5h16Mv$z4b{ zJ1kwceWe1p9e5T*@S}?E;wZRMa9>qNl49;`zzBqQad3?yFlCT*>CScGGjkWZ*GSgc zY6XXc5M_Fz-|oXk%$qf$Sz(P|1CyM17`AG1Q1l+=C#&h!z(TDQTn2m^`)?YQ!w!X( z4ptq;w%d!7AW`Cm)2yG62@2ek{89j+@u82;-y;gVcafJdEkQzzRxJvmjCj8qNnEGD z5A?mCkbZ?&EZ~Bpfz3h#(jj9b4xAyC6a31+t(>98xmO$7nC4&uihJ6?%Vs~rl2Oi^ z4IHsiezZ&_eKUP-U-xzZlF!XD?Euk;qxgjM=4FFGl!s5O~1b9_+@$r%#Mxz;5y}p@r z!-)Ezl)jYlxnES+6*4*+p0&h&_CeA}IRY2X1_&0w1H!x3m@1;0Xurd*EGeCi z8Xheq3o685EAQ5#QOI4c-Aa=Z92vLOb1SQ1(#G|?=U|e=_URah#NN>D3LG8lqKd>R zC3#^7J1RZPR4Jg#0kQU3jqCjJtSn?C#x&WcBu<>9j5Y%*gALpV`hT!!W%UtQ<-Y`_ zxZqr$3VrmkgW(QSn?X5Ek~O<4lGJt&kW=-$6?=Z*1;`C$!B%kE!z~_C!pT` z6_Ty2y3OXyad7PX6%h*%dA@IiaHDy^*6ov`Cj!51}@4es>^c*;qWPYZ4rHrN+Rnx-BpDR%GEcL*R_>9p zmsY`z96)*4kUh7^C}HksSIV3*!+E6j-&ee&sJI>B(skvIq6Y#PIdHiyFD|3}T+)Vc zX?E>6^da}jtdJZHbDr!%qz!IOWSnNlN!NG7Af&etNWEgm00dn=FU6s zHEBbG@jTB@0uK_{a{)&|Z5Zk-vH!q{mc?>O5_W^gfdn-O0lREh<&`!R_5`QtgPUHB zI=&au=^zdhX$-2(xzBJk+cGWW8w`}{__3P=F2ooHs;G!ne4uHdhm02R+(Td2N0nvA z@uJuRD3fDtp?#W;nodEnE8weLvcD(SaBY{`fCSOfuF|eGM6^NaCCcWI0m3AqIkLg| z)1{KuBO;Q%8VKI*!@iO0%8L^h-21vlFfN_ayaL*wx^eXt={X`gg6ZZUb9BYN3+6xI z!B^`R?)>9~ujwVAU5-!YL2y_$ZFt&dco;(qsmssAkkG}<$8XY4`KBS-r+wsONiv%g z&};y>M5Y6w?aa@4N&mkA91~zTkjW&)rd<Db(=qa%Lk=;EbH zwBsCN&3y+Wst}+;d>irKv{~z;?ct!0ZfFUHgFHuGVp4?bi5&?TeA~H zNkGd0ED==88V-`Ye4`b%Ix09JJvGMj|5VRlOr!3z78ipabj$%UIym*)K^lSFJ~PTM|Hsxh)|@sc&cXlZ#T$)j9Ak>$}d?*>aVl0{lH#PPQ!1YI|3EZ!ay6zd$0K zHFJFhg3H>TeRT!gA${=}kHoGlOkq?dTpho2xjO>3Lrm&N<3iK%sj9MH|0S~FW&Pxd z_LWM72on=%=Be0962X*&<6fNve_;|BqI5=KsT?O^U8Ec>P>8N=_+=9D0*U16W^yk! zd0*ev5&>V|%J$_V^#nXaR}Nl1HM32cEYyDLBrlu=Rx!~7tLq127o3IjY(HH)9BcbaQ+0hOvQyfOM0oY`2p7((!v^#Tf%xh^ z3Kk}Zae*fUT>FWQytF_AjcBCdT=w;etH(;fN5dEm?0o>q?+?ndV|NI15kCwu-_*Q0bjyPy&* zUJt=CiExob{5rSPu(_ip8m|2W+p~1jNprxQihJ#-Um-tIaWpFa)$uIv4;cnKrxHCe zqUq+51UyMVX-O|9&bz)pWLSt^-(NoJS9V5xQGaQJde`TX2?Ub?I8RLC!seH#=MxIo z8NsDXH(85+T;vxB>U|;&b`&9t&rLwnZR?1ACkW4n1DNn1E)y(Lr^I^te^$Vvu*lnGRh&H z$+(^&6;6mgNf`=lD8EqEbF>~HimI$y6OhWLf=DQoBDc)e6%hWbyxOkQl1DdC8)Ou1 zJa%HRo6F`rX2jg2MUgI6bhIHj0GT2AJIz%R*yeR8xcW#CY_+Zmju@4a|1Vvi#*suk z=|sZ*3s3==dze_+w*XtcMlv^@!stUZSyZ$=vi2R_2voX_?Y`z0#fvW2}3KV8qlB81^{KwY9%W< zabRt0OXTYc09`G>!00MTEgw}7fY14mkz14o;aM(qjLPTfa}_oBrrGBLw`{sstk|~N zH4;J|)Tn(Iy;_NS(OOkiC-T8Rpru zgmXBWC6wwnj&qC4l`dN7_(xX--*weP$o?Or45v9NN%pPxr@7Jt-V4NrVc6^g_UHy>18OGtM3&niM);heUT~TAGINb^9@Q ziitcslAi4jYpRD%c!T%Wi9J&^|H6fN2w`<^TSQHloHh5=y$PR~6j${p9QzY!PI`)k zRnA8;mptP}@q%cd-!vB{E1u1YKX=)SZ93Yr4?gtinsh$kqp{Zxcf$^@%*vbK;mS>o z#N;(G;zD{WEzFGbF=r-#wq6tYFWr}}Zxzp(&e;64!bc4zc}N}7@wEn&MojmvjHG4# z{|J@bdxYg?EH{aNZId|R>kOXSZ#OVo93+pp<4mVC%8v}myt?ratkM!n!1uSi2nQ_%M#aREpyV~Sy#82aI94v4uK=~w5%fw31C zXSNu@6aI(^&9v%A3>$~0JJAm=s}z!td4tc_1b${SKg`4l0OhZmA8$`L)I#UE2k2rP zU7d(zv0qLw>j8c4gC@tT%cmI#R2Rnk6Ci^VZ)`aW!=_l8hIr}gH%Jd6US7h zyfS{}=bt@eo0GL7wvVp$V1t*Hf%-VE#qp^cylY|hPL8iUv9oxB! z6Q6h@5@pZeL-LHcOTF|~mi_0ZdzZu!l7OQmn}%!aOyk-M^Zd9)!UjhcjP6`27#myg z!w3MO%cJQYyF+H~n&({5<^xY<9p^4d=%w@wK>2WBM!FU-PvU-9aml(?W!<}&j%j2Z zsHj_naheo>qq~N*mse(8<=g5?SAfJ!v}1!kOGrScU2za? zRbv}#>AT*Yg2+?WXb5U-iM&=kh$7$t-it%GGMl3Q z!S|PU6czUG>=?Of43)Q;*K@JgZg>|$81QKdpPQ>p>~`5Tvc7YN6mf|m&Nb_t#0HTv zSC_~4?|hPc+{l2p8N@L7f-jFRi0*7)+$F{)qn$$1(4#q{<+P>ygkhm+LC+oUmqT_&9M9#56TN(Bz~D?`?iL{Gk8tmsoqS*G3M*E!GrGGM zyURuOw6eB=a+P_Yf+)8%POZF)<6oqCg_RP3)_8)r8yL;Y_Za0bg=YyQ<@R#kwF<65 zm(`BCv+bxTf|@RSqnG#S;B_Q+o1)^*&nHnY8yheG*-Saqe_&{%kEtm-))lP*i&N`r z1GqbM?X(vyG(4Ouepj{dZrW6wJkQKp^9DiuCf-$KcZVBNS|Z3!!VK-Ynw}Qw(PyLs z1278V1EINws$2%X720;_Q=`z8K`*pMGO@k^_o4yaI}#o-pON50$d-_vuQm`EKq>U# z{LHz^R~fI#lcaSQ)letq5i!pKfJs*z+0(MznY6p-^ahasik7Y#Ra!bN_$AU~i0DOn zgeBk}^b<4@(z$L%a|e!KKj0?zdOBOD=@QMr3fYARONit_^?6Py-E7#YhE|{CeGfmTek=$W>fO8vhsH`^KrVl!I$ zl1_AY11X>))8%X-bl%)|b=!Qroj6tO^<*QP$Rgrkm^)K1gAlUfS)h0ao8BQF+-eGKyrPw=R3ki-He2FxbU;`G*%(y0QP zC2~;FF((OwdSlY7itf_24RK(_P*|fFqLTxTwGZt%dn?`aMAg@zh0c@^r zp1wh-fyp7$jDR|MI%U9Ejg^+2hD_H}v#(Bcr#5GLe1GZol@m4JE1GpqZ;DQ#!#Ju9 zQ1{rqIBWmmm;VTfj(+Jik4kT}(&)x;yiPbBPor|C&_p2x;Kw}W8feu(o6aB+2DUiT z=dddsGT*eEFM-2iiuB`eB-N5WJB*j^fVbl8SO}DdUYNMwEp1tLM8{My;xnD1d7C7- z(a7F0Q)r;tA=Qo9!c!MP{O{0(gfJ3lmD9G>(Xoauz!}{I2f2oW^)^j`D~^=a@OPcJ z$O>@8^bh!010A5KK|YrEE%N-7@ECsJh$1Roa&$*V98a#!#Gd-b%Yjrz2+;0Pvj&=h z@wrdRwAB{ffx8OZ6j>YK4qXV&`@kTlU8+Ai6bkI!D<>C zfVZd0uTr_D7i;LStfFf>_VvWLiHX%?RuEMuU4^OD8p&mY+0Vdy?z1(ev$FJzXSLWlvXVEEZ@^|5;rZ1BM#m`&*5a4)j*CtuX(qp&HP70&|e#53nRw% zdCx2~fP&jtv8j1^^<&+qJHV5gH^daDNSIjP&I@8bw{#oioFfpKm;e#Up4dmxR;51l zQJt2=7DpAq&bflzr?)UIX!Hhq<-f|A{zj_2CkJ|B^H8mYXcYh$s;|?$Wvqe%WO+kh z)V;4BQ`$jkxg#O!Yk&VjtNvfpW|WpLMj$g`6sG>L)UwTSaunu2!jNcbx~*7aU)C0a z5^3jdQb3uNE%?jnC(hhnKcpMORUS_GSF%7bPG<+?RQmtPZ$>`;YOx%%68YxD9^x!H z*hbEt0+UkGUfhn zo{E+Bw4OO&*k#ZBNnxq;v*o*Hd-9VPT{K5LQQY^?)+iv9i_!Xs7hCG0ORfI9pHp#d znsL=E%o}stnzyvMDtHfJ7XjEE^fq{u=wk0^mfGy)H|X|rp_dOMk4_ChjLvVHjp)$u`_IJnq4 z9E)B5vmesW5lH&7X`mp|JzKS~A=4YwAsCk0fH2~C$PyO#ssk(nSvevM5h_Kp#u=~O zP@kStL=$ilG@f*La6mar&-N`M$mr*;>3ia#Cw`!M5^_!zz8H&igFHy8l#fz&-`^O4 zVgYRoxj>sYpt^vMpGUf@dG`i<_QOx#yOpVR+*0EM=hdtj`8Da-P<88A#3Y>Cz%))mZ^9D>S4H1P9 zrb{~{D~OFEHb28&FkydxOV$Tj*Seu^=;!n~^<>?Xw%}mpzvIBFQ6I{aB5`i*EmcvC%xe7Q&np~&hGU7FTcyELPqU`$k^wPN zA4ap46I+ziE{XtmaqQ?}R{1w2R*j5#-oQ3R$MJ2G`88y(0PFq8+%YrUG872l@&L)u z{)U8G?}#T8MoMoE0+7axN2-bNGN=FG+HHKBqkC#745Fbp0VC!HHf82GCFux;1#mmLai6 zM^R8ZVH>7J*1L_O7mzj>`I-3t9rE9_Xd-y7Poehb(g1nt-d52{`W%v|dE~4|PriMDLkgbHS zqsruTtelFKMOLDPd2L{M8wU`F7DL_2>`I6L6y;vDNI|w1Tc}&EwEnia+U&db5wK2} zqjNg`g^;tl+GhErrO1M!*TjFGT=}cx8diT@k)(ueE47r{y32T1(Iz8arj)NzGvDvD z59n~b(MrfURveQAmXfH0EIvR*;7e)gL~vN2R1JzNyXGm<*LDx}2q4RdAiUoEv?nUn z4dU(6l{Nh|&{BJeFcwg|GTmh z+Mgs>!@#^@4EMKz!O*qC{Qp1y$+Kt3EQGbS)E^l;gda2H2BG(`U@ga4`*Zje=CQ4e z&LoM~IK!{^!{7eb)_o>QIsqU2-QRxrwQpH;cknMi{OiB@=u6+5{pf_(s+~IXgWvfJ z{KE~L@##l@{S`JUE!TLLt}0?5e*DE>`S6Qhn|*SxRXTJcyU)xIfB&;T`o{P0c9!R? z9Gd+0w?F#QpFQ2`xqAd;i}~YkfAdG*{6ku!k|A8o4?h39AAa$-o)}=>;WHKdyFdQ$ z+g~OLduaAY|N0AP)4g7kw+L1I=u3ZP?L;M8RJA|)<`=2qr#pSD_=k^v<=a>i^{KDV zU!s0;t@`t<+;rxLU-+|+K8rcao@-O~_1~oLQTzJ9X_M_q4mW@N>)-g`JAWXjEFC*Q zGxx!l|K-yIAR2p-fx?G>^&N{>;0(gbqlRy0dF9NS2_TR7$|LQxm|DL3A%y=Vw z_@}>18{var{p%lp|Ia`C!xta?+2{IS6e(E%q`YgSq~tc)S+ouxefAr)#2|R?Hp5B$ z==a{EZ{->T?#TS{=l=zh+sW>H`^(sua6upvmp>#=R65BHeE6+D!YBIs+>JAW)&BEe z<&EJyK?8sD=Z}8x-{LcLK9kw_i_fXqp#627%&yDiT)p`3<@%)K(tP$WUp4xEIkAi% z{`r^Csppw?$}pC{`Qj@(fqf<9gy1&mKlUTxZ(r4w{&>-j{_r<`$C{ru{`OTgj#Psl z@DINCtq;Hd)&5gYfxiR={|O4`j5g2*fAagdGU#tn4b{K;osa&z|4DAnCl{3-VVboc z|HUt>593VIcdr@%hRn zzxb`m=bj3G4JyGCROr&@+w<$ciQ7|s8lQmS_I;9qygi*!bKRaCAS8DGt>-+}ObNz3> zYc<(XUxZ)&1KJ&ODX$aY`J?)nKQ2YDsy2cTe(MWz8Lv_3@JQf(!w62DwuE%Cs3p8Q zfzow$PeMDrfxq$LU;WVszlG-lZv~a_#N>vd+Wo$yga5<7{VHO0b}K;feDwX#|L8m4 z!2YNn_Zfcs=!<`P@w4M!uZk4vG>qT<8eW^neMigs;qQO@gWvf+@8GNL5#L5<>4$&w z2S57#FI&$$8pn@6`!yN|AHgfNwBgFX2i_E4^@rw4%W&i0 zpniVv{qIaaJkinTnPNkU8Nd1#g5IM+k%Ml1!PFh7-sp-m%@gz?Tp_T4@04Fscrx?n%4GU}HdG#qW5@ zou61x8g@GpUXq~(XSz*7xaF=7`zkMZj>hEwu&a#K=i3@#IN1G#Z$yk6mlI&Yh3yvvqdHrHEjhh$6t3^$B@je&z39lm@Vv zV6MbmCVp%l;VN`W5!e}A8?tXcH+g%J@Cpoa?;SU~3qniEf1}ed5_OgsHNYa?nJ=W?sSdj8!IvL-z^Y3-5Mszzlg5O(S-!D2LrPqx~O-4xMt> zg5j0b>DW@K`SOKHL;xQIGr%fs8Tp9HMurC&xFM1$LIFvJM$XNb?@>FnFuPq!ljb0U z5YPwV*2pxG*cPDV%D=hRnb^YT6Aa0thWntJ3q5xriqmE|z&l&zV+ z{6mX#jtBrM*l?o&<{y*`tF);yMpbL8%tGEwv#wU`kmMKvNz9vo&RXgXWm6~uil)(jqNC5gp3 z2YSs80|C}m2Q3-E$qZ(FWMOu3Vjnp6_i5Wq z?*p9X^E^Ev^i@?vUS-c?O$?A7#fJ9mNdJ%m;BqhO2UyNCtP@p&o}HF4aI6FTu865v z?_b$W1nU;3S7!9JNh9Y;$=Hgl*1U&vRz4XkE0ZN;BxePnbp@PSwb{Ta1$#wxf^Qg3 zD#4RNs~S6yWXrROpvPLHTC=XcsG4TdhxdQ(*|Tk(0^@XjX1$pShX4s+4|@-T+qPD9 zqGdKjVTOQHIMjtjf0+CSzqxcd6Kr0)t@X^Fa zYfcXT?V5#QC+;1v4vOcJLUESgG}X2>#fBaz_~*1~fmZAD^4v=@K#W*zBpGCH-&8yG z^-6+Md)P`LnW; z7^h6Xj8$ehUw3& z4$#_l+QBhv_S0o;kEEe0M*vSl@9GmDF01+$v4l-}JR%hu5bU#$RXwoMO~=Vui0yi$ z$GFMz2ZX9%A0Zg#g8C(m5Qz*q0ExJm^5qM*roNI+k+!0%5uHJgktA0Ngw#}EA`od- znLtlO^~>5Hhg>{gfS-z50<_jOPZ@Dm_2Sq*4n2DIfF7ISSJ4ntEW?U^I+_j;vB7x) z3py)~=}$?|r6t}Hiv=Ul%dfK0`lli1y+-|yMUa!t?ka$diteY}F2tHm4$V(TEEE>9 z9v@8Li2St65UzgK6BjL=-B*)*tnhHac~U%@YkCYzpgDicX?b7V`~;WL5*^p-!!$|2NUvOquR}?ux{&|J8An!2 zGqv=v8Nm1rnE_4Z%%wYu-eVKU0B4B1H)~O()vZM7?{R@QJGjYmjH5AlD?2@bA}b-f zA2@t?NBtwoG23T|D=Gys{3m#ZTkOhA{qBmMEJ?c=?W!Z9$?KG)Nez!R=!qZ19v%yg zq`b?s7Gx1!rFC$Z<GJ2#1Fd1`2_rU zW1%6I5FSXt-e?elJ)we=ivwFL1Iv9B)Ri->GOf^=yOT3^5RZ&8vFntWK|OgjJsJn< z4Q&Z}G9Mq2q|AEA9)#*a4ym*e>pE+UNyccjy*r2_b#7zPVhFv~eU;|4gJ@86tmRrL z2q~&}q|o&CzhJw?peuIcwXaWmU(3UvPJ zh{HteA^h&I?y(_C&Ku~Zyf5jaTyq))P3E)-QkpgaKfw9k zCIx}dze?c=^dC!M!l}gb!f>Vu$XxiQ0bKV}5Lg;8@XPoMHfLq(Ojd>m`d z@xt(x+b|&Aq>_r3Q~8A)=;+Jl42dv9PCPUwV}J^?=!!y&37N(~#Gxe#5N95`@<4Y# zN^-bQ*b^VH-b|-ytrfpT6};lobe)crdqYA`mSMOM{>48XlipZbhoREbW? zuBJ-~k;1Xl@cG;A7}t)AjsaXfbwqz=^o*Gfs7qKd=wVi(Ye(uDgnmz4w>l@3-?)CG(;^J|KStQo&iIV zbx_vumnnho1Z)NT%kY=_h3%u3jKIbzMRv4S=5M;ACBF$69uApjHo}VUkm)Z-Zmk_L zbX$Nere^g(qCmii6QRspjNG9lD724tb+#P;E--K6 z*ohyNwni`<6OAv3;-HntI^(!^05nTDDJyYMYuY{3y#ygZ$hXGM^_-#Nk_ZBXan*4L zsBcklYmL1M?+_RQlrz8!LQg0=<6RDMm!_~@!mNt$ASC=`-&syglki-H0cXmEY7<0U z*nFo%Wcch@PWake=}HN`&cIACfOb_#WIiY(+%1`gVDK;9Gy+0LrS6tPOp@KO{41*2?dEU zG1vj%<8Hpm@vvN5HsoAP<3&^9&tlcWan(d!;?ae&mV~~G=KP<rdz>uPE-(d-%2)hLbk9QuNA7(WH_iE5VJh8W8cN z;hH8?(Bo>hj=2K}F<<#Z9l$zQM+P^nVOWD3TmMxXhr~ZNDGXy=BYce-D|&hhRr+hc z`0N=ST)N&y{=vH79|lNVn5>BNZmV1-=9PH<^qD%$UqpKRePA%4!dWk%K=*Yb#I#Q; zxfbz_=RToE4X05AJb@Q(t~4+&CGqi@%$&L>eZ@s_#5*f9Rq!`7#2(pU)`$-|M@DmU z@99v2wHy!&X2k=D8jS!W!j|_uO*hRI(yITHBAf_mq%o@zLgSOG423e`N3&12^3fi} zw^^--nxNO1k*#^s<-m!dL%n(F82l#8p6ni|R-$0f>ybjdIFflOIhYB#`HCd`vm6lz zfDwl*yLZgbg?wV_-8oO^-E?fAL>A5JY%+|vO6ye7HAZsR(tadX1ZpVh4A`gnfMT)9 z)2CNxUP|r+o!Go7*UCG{ZrnB5RKM+?+{?2ECNTpb`s&R4&DFQzB7PIdYmn^e2+C>Be3`l*iWUcYrIw=|O9Go4O7XFQ;WA`QIM+#Fq`y z;c0LiUaRZ^^{8wB0VP`#oD@YOjm`@r7#HjoxWoQRcVz!obye^xihKn*^Z8@?2V%v}(ewCS36H((Rb33sX7!lFigo%~AY`d`)l>Z@LKB_sj*j11=B z&*&BBo6h0ruqrPXuSm{AgFF{vNZ=yHy{k`&8v}f1MPmPOx{3O1$It7)qFFZbundRX zvrbh``&T`D*XPTlcXROV)nEA>PK`$-B5?zxGU=bL;cIoQW|h6rjRIpR1-LfGfU(UA z)}j*F3P{89|9t@f{jWtK6D0SOD^vC0{Nr%U=ZfCm6M%t)eiDjo1JCP~y!e)P*|dy$ z#wVm^_5S!%aQxv%gLS~Amg00xeVnJ}{27%@FFt>D` zkgK3-yOCa$0D%^OvH)XdU#e9GJh!xM8CpUt?bd3~QvchR z4uP2~OS^$FBv4WE(^I8=gANo)!2sc+DdSuxlYvD(l@4X;#5f9i+9cpC@yWYppsAH| zLt}^I2G6s!1_D_xCPZLD8rpWi=^!4wfhxUYbmaT2xR@!2m4Cel8eWnm;Cvr|j1DE61r_xPWQ%ks+8Qkrciqtg4bSaiZV?GywbX}P^rH$QYnS3B ze-2RD>_JHRA3j4;!`+v2`?g(Ld)lloUzCi}RW-21Lp{TJlW4RV{X^X=GgOkDa2-S9 z4ngYep3`aFWofPV*CR%U7={i=F0^U(8E5z<0lrmOfRnvLhgtO|FxGqURGc}RQQ)jc zai9gj@eWzXzE4HV{5`ELk!2WfbGOgRM?rnO?20=~vlAJb>qiM=DjZ<04VNBIHRpjb zcy++l(P#hnH_fa%A)n1e?_nV8mrQx95=F17 zea=s!)u!t`Tvu~*snu?~MwSbNJG?`Sc}UsX@}@c3ZLT)uC<{hI6U?5e*XZ91lGp)z z_71glt`2l36`;%C^8`uufzya@>+>PUH0spWdlI-+XMLvR`})iLCT$6^l2oU?Jq<#! z^q=oq2Kv)z!vuIp8;!d2jvKu`b;-uCeIz1vI-<3Z>U zg~akK#vMgeg7gG3cj6&~Yn;^S!G{H!{3*@BO6Y5SvLPzkmTwWG0p4OOh;8Kz;(K8h zNbC)^LPE{&x)xV)`Z!`VI~pl~Tl(6FUrrQS+FpaYT(I^qfvCxGtY|Xl7dV;o3q*CjU-}i za53h|w_=W%q8}l4wJKAZwjcC`9U+*5fu4QmyF@Rr66=V7ACd%9*zYm8hxBr! zv-#(Pm#s5l9JW!3Q?5owo>L+eome65xg_;2B8E*h`qxPac}lEUgoE07>UqoP|;pDRLYj$ZDPSW&Mu^BD7oRq$7bwOuPN8yx9=>)UsM%H2TTs`(DnUBGr4H@sI)l z-62-gBHpELSH!?H7w5CB3X>#9vD^1>!jV2JQ1KwS9-GeK4#qmp9wE9<7p6{TEsn?D zuI+2v0EZ|*f-JgxXd<(+-8Ywq`(mRm98!fg9BWAU?5ZUL_ zA^w)nm1nBHqsXc-+-+g14mtiz-piT!KnZr2O7Te!!}c7JO#FRFtp?W{&)P~j;#lwq(j z^Ry5zzw-BgLeI3-uEbE+$0z*Hz!NHi*wRhbT0g}{WB19|uvzfZITKyKl(Gj!m#@WK z!{#v8^IcOg($we?RpHSu@d0dF5OvF&F1&Rz~X8MoN=uiY*2X)U+>}K59Pf z3yoF8!x$;J_N+$oseh8JC=;HN=#6Y8Ktg4rluea3z@s}LM)+KH!@YbEEsh(%p=rx0 zo9arUPODt3z&kF2gl??hE_9)GbkWNeQLZgi)=jzw=Oh!9B4=4EHmyqCMfd8ym1$58 zbXzyAis`{ovvjZNp&6H&0RSr9gBCj{(f=VgfH3)KGTA$|QRM4tHQJb~E|(GAIWw(k zT{S&?_OuC)n(#uXHhtP3`I?V?CG%)hdA_eY$($3K6xBYL-psXF{8;k-?tM5Z>IoC@_9Vmj^Jb!Ecmwyt;Y|I{~s(_fe-DQv(=> zCM~l5Lu1JNt|p>D8fMNE2M7lf%78-7}H=_^WO4ET{Yr}zZqv?=;LMo zp(`yJTz5!j%u_^1ylG$l1q8qjamhE)tpS~x>;~tWSndP0ZQtr`s($dU;P0O9&&53K z#LI88f7v$68-t!gz<-S0ATdTp3DaFl7e>X6IkPR`Axb_ym_K;YzW;m2moLinpaR`Q zDHr9wYM^ahi>7NTLuE6)QHfG-(olpR`3hBbTDblG8HiZTNJHu=bg=EXuu9EwwY5A45X0NGazg)BK|6=Se?H&Ty74 z>0d4xHTd$y4_-jkzd5h>#*wwD)X^i|fO?zsyp-9Y0>~^8Id9VPQ1SWE+jNIH-Bd+J z<;{J)679?H(SC_;XR9wi?S*IzfOzeIDt2SG#oD~pJD@pr&qmFooUNv>-yqX%KOejC zpCcCmYjVLjgFTe4egnEYSSz@snFeOfOQCiwB^-(+trp-pF5W0jq+1 zxfz1EXya7PA)B>GpCBM)679RJkp6drTv<2eS`Y;v7%uQ^PYXt#mBVWQkc9V2CP9EM z=)C7d-e zU1SX#X^{1Xwi}W*rpSc`$LbnE49$9=X3{IbIQ5naImiXI*^i;95PNqoPOvJ`T>|#? zguX-m=X}c?)t2QFRmmiVo6##crxN4+c~FlR90EZEW(oU3q6{Kxw`(OA2EB*6@Aeduo&sV% zj&y$j4Q)oumuXkrp?znl9jMy&tcpG$DIc@GL^f{Et9!|;y4Vz1Eo5Jk*#uHyRUNq` zWc}EJ`i3*aCE<*g$G4}T+t%;@vfOZ>7SmU%V_vK%o0A62v7Kl}+qt93HOsE%8+@mx znWWX8dUV;>@S@fh*m1N@8>~3wBjN|Q()&vG)*0x9Jw3mlx?t9&hwTcycH1J$lO>-F z*Bb}~@KdRFWokvfqTs*ApjZLc)9|OA_`xUWnb}xJ7_-#_!!a#4^epVU6wyFCb9bcQ z=)d%8_^|BJJqy{Ilf3o0KvpRNt?7W8?-q0$&@+h}#4%uik@{G?Y+Wtb*@yw(PwW%E z7bgT^nWr_^vMrll3)*G~jG=>A0uZjh&`vNZGbo)_14bj4E_%9qV4+0lI?0)Ukzx;d zPLN%enaF3YP>tANXItD|6%WvHpp@3&j{oL{WKWKOzE$_~ z+nr2H0)RMXO^DqQ775BU7NYt9ok&whi-j*#FgQ$GJrtn8%cZz{JOV)St%|IDNLN zr2xr86hGnzIb{|-^ZS$-LjYeupuecEfKn-4Wdk>Gk;+PokqmfWRy8v9HT3KuY{5F2 zoSKW6kOFBg82hrPBvpx#@5eD5#z%F&OC6=*68o`5YOWGwd?phQzr1B`JND{R=&C(Y zdBJ&6VtaI=HKK{df;UuI$35H~aww;e0c@dbQf(Z0q2tpT@5PGHf({IgR#c8ja0PMEj2vkmRg>xSd#NSB-wH`C6_-tC)q|0)8!hDq^B1t(gJS>=Sa(% zRMGaW&~uQ_)YEeL(v#b^a3AK5r0HaT^+|o%HL)2wnlP~-jFJdG=L50$N9B*J zfJSgbFJmqsj@?=vKwS7F>3=hayc<3H4?_q>vuy3_2%D524yb7xBJh zk%ktk6i2%0@Mbri;YWR6kXf3u$88rUp%W{^k70+(z(t-i^jmeJYsKEY7mttpm*FF_ z`Hb*#U|ZG)TsnP!dyYfCv=#6x6`Fz(*ou#Tx5EZ(+sUzJljou2!=tUNoYBCMV8sQa zY*b@&)A3ek_z2$=n_DALK5Nq0wpg5FRL3Sfd0Xu(xZ00fWqz<#fU!Db0pm*p6&R29 zP-|hK*)Jgz#s*&VtXRp2*{o{iCcw7LT*mZCOoUovKov`BjQ&${V^}fAq4WEL)wDLJ zvnXLZ+Q7)-kq8xfamc(8aSlUuPgQqh%39(mu&~qGZg>lza=6#?%Qe;xhuW+mrdPke zy=D{~rV!hbfW!Be#sQz{-tkpzhvMKDrHhJN4$B{7i}f4Ju_X@nl# z-NB58V-HId8jYZT zm-abjmZhxEy|rfy8zoDQE|^7sQCc zmfg^{ntTByR=XMr@$`~}XZ+){XV0M9#i`mN+=gzv71EQ!`J4U$Y=2`3gybWOK?;GI zg9C7q4=EiN%eGwlAD!>SAg-^}9rpCT=h)fhC-z#zm%HT=MV~mO^l>rYYx(nqV(t6|E(bal`WYF}YOaBE%Y)LNZ z3_vul%~(5*=Ptt8%#di@1yUn0j)P1XH?a$=twQn{VS997oRF!6lj+g$Yn)h4xf|SC z7Z^3NzY#SuC?0vX{OFSCzod6JJreVcvh`z>54?{93j{sO0-Tf z&T%9>Fny$!XO1{yM9GE!6uqr$j$XUy2dl7a*o*Ld&#F4?-M>W&Q7qM-{nI2w)?{`O z9XYKDUn-dhBHPR=HXSrAr!414BG;eQWdA6Z9JZN^nVyVXg(Wn5_O5hhmEi+L0uXx+ zv)C}0Z-F$ImNaeph%YBE(ooTuBHgF(x#1iFP$kkU!cO_C^K4kVjA1?Zz|y7XZbpV3 zs`fBo=rxfR<7m0enjt0OVP>I?6J?rM2=&bZ2QD4XNo6>{zN2fOf{<|O*SV&C` z`xuFZMS0Ob$Dh)hmtG_q!c7_*Lk!0J>7ZwwoR?lC8d;pZoSH^##_@tElH+@nyP?BTZ2QIb*Htzh|P$+wQV2EECEDUTdJ4Nj1 ztTl+d-hI3tkwA+4=_ULM+1hc@jY0q@rq{vEx^W~y7nTWDA#utT#Hdm?9$_(WMQ$K6 zn)p!{5$-Orf+2lye8WR%wguk8@LAUNEX1MMa691SZ#Mt!7)%8MvHU+0CjPTe0)Bjx z=GL(~aq_hK-HuqjV}XQnoc4~o{ zlAbCVXfx;Yyg&TB((Vr41yZHJ5%-t+Ts;0t4PDTSgl~6 zxB-DkR-ohKYZZdNLL$S|*2E@rsL)L~HWFKYpw$W41H9}(tYFg5nLCY#W+K<}L#;|Q zR`Car8uP|clNHAa367CgAs#D8GkOCQtehBix`S`f*_a!`(dK%wS{GNJGdZl5e-5!W=+E#MQ7`~3GmZ)mOZ1cda6PqL*xt^Zy`=KoF+p7F9*>d^!X^F53 zTTX)KgotC|3XZA}PN&U--ylDWY<{MxcKw*1Wk1m?X>-jRMe7%>r{lXpqH4H(N|3RJ z+-esS;6Q5|#9^#zdTLAC+MY(wfiuz3Tf#dIyV`al#|mt{j(&8cFN+cycwmlPCEv4? z$O;_2;`{*F@&NT4)r*O=tl_H~z65QR!}6qYWt@$WcMx5YvQnTb1%0JZcJ5*>oc^@R zdj0VZ`+9QL#SsuN<4h!RNbi`d*FZ3e)D`sS2<~xwyyY>9sfMT5h=&@yh17^>dpEKn zPj<~#)zo2fld&Nz1+DkG=xX4j@$ORtqNmi?Y7rX+^l3mBCq0OnSRXQZW#RaFAzckY zpx1GRI?|VOoz`93X2YPoD8h!|I~ebB}Lm5pS*5ToXG1)Q0rdAbH(2w<%mTR_0B^4wmVLcIzFF?9PX~2ipm7@3Ya# z_ldLMiJ(_wMqq`+v{c=`<8X$%$O>(VZ41kdbQ;oYH^sU#1HECWl+m!GYI4JltNyei z7nO*~0EqM!%8hkL|9Pwt5H%r_NHPKZR@s;bI&v&D0Ac_Pk(U|KnbZo^sNE<~iygyt z8-Ikh@duyi4VkPim+xG!s37r_4i}^6aOn40rXLoMVw3fbFVxjG-PfXzBUYe`6D06L zv~Xrr?%ND?z3PxN=3eAku2DL4$g-1n1uzX|ShaLZUr>Z7FmB^Xzb|9e=F&ds@_6c+l@4pf>!mKoh z5sl>QY`Ya&Uwe#+{QR+rNI1P2k$*!>Dx4Yz-=sNHqWl~cX0i(e8){LeU|8i{Dz6_0 z9_VkG@~x$3jxIGHflD0pZJq$rJU~!#$zUiM605EJJ*3yIC0(7kSU41mhzUK+(MxMY_j`Ka@$P(@wV*Exe1^EQVnK;GO?FAfEL_%*Rp zR__rb%{s_tB;UzEmXC(=4ite5W`9g~<~>{|eCa0cj^#r5FiD(G>DZ7pxzc?lyoFEO@^|OMe8tME`My^v4^5Dk{;_`SnPbxT~K5lr!V{+x=uL1k7S>>TYzcg zX3Z#QI?fSCtL8|&OEMo6(5ZpwNSWr>0oZB>gta@DO^mL47kyeQ;Nm9Z65$<;r8Jm3 zTQ5LTp$s~(qC04gX%3S+UoU~EsJ;Y%3O$tY^b!GbwyP2Vd2vv}{j`CQTKM9!9S0jp z7K-m^0TN>K(343Sw@1CO5_E>^44zjf2zYotuvU3p^`V3Sz>M76412p_14n)Y7TzA&)o+KYhp;rNBIt zw5xPV$Pk{<)3RY3buuGFJg_p{z|_fpIh+)IPYe~b{#i#44cJVWJlt?r+o$tv!K|{y zc-Z+KDwK9gLxTU6Lc%QU1Pl%Xc#CJy4GXxXwznm=P@wgCw|f#m4@mC#oF1Vw$&{E2 zt#U|r1o!_0fIOPSX+??dQ;QDv0w>XHf=RY^^g@h42D^rH93k|T=ITs$2yzM2*;kJ zVpVU*?^hnPLaFELhiR^2-oF>)5OVXQoM3f9t+{yd;V%?-`8!Sdq&)9hId=5gZ zL12lpoNhTa)TBCMVbjsn=xf#C+il%f2hD)Y)*5}AL}+YB5+M*ooz7$~AhQo*V7 zN`7%BJ7BW=LXFY#U~>*Vi%t6&3H|qt#%u~&7oa-<%51&|=%UvN(4!Oj$P>CnybN=% zL(O}VUWB=;()KYmKV$Bu7l}QkLo9z_<*7>82d#L)Cgbv{)uF9huR&YC9o%S2*|kFG z0`BP+M*4aHNIgY!7^yeKkn&)s4&_Y=sA7`?hLD(NbM?T{(>tf(TVZVB%4yp42rV%? zC8tl_{LuvwIL}MS;cd;FUO(jrIs#ya)Bl&eck7j9%hH2R-E0VC;L$=ngcLq?)>7}Y zD&ropWq1Q5B*Y)!WoAZXW~_{i$coEaJJ$;hSe6@X0YXMLmns+47TvZA(Ou@JC?Y9T-Hg3vjBLE;Y}9=MEej5*_$nQQM|F7ZO2>b2L(oO8@M$GnX(<`~~FNlG9} zEo(=l)R35(ojLtvk2}uPpU;syfvrNt7)ZD{-!RSSIDGvFUS6?n-0!>xAp4m(ZjW&oi_^`Yh>mF0F$iqHD`bNch#Y zg3DU@^=jcNOnp-gcysIp-$trxF+&(un0jrrlEG5;ZyN|F6Uml{=GnOfsG^6?|G{}n19-qZHNQ`CVr3f-y4q9f(LDf2V3(dtxrL=-`XwB2nJ1mEt9lOsVt zLNmdSkZGp(bm~-$koxTh)gG zxsFW|#uQdwyx~FITGFM?5+T#s6eQvOIFj5Ir9MKK4+F_^cfnR9xm(FBX|{SRcmUrT z_{z|FZQ#h=$Kxe}G-ywzjYuP*pX*Jg3{r=LMzOcbG;x-+7Y}_`z*O9^cONe{fjZwf zjF=;1(5-2H3}cvZxGyI|z>^N$<`?vMt%bu{i_BUZJ6@7F+cl)kR5emF+x|e36krog zGt%>?9n?&otpNd-K5lk7yF(GrpU+iATHZ-eG=+AJJNXHyTjweD=tI;e%K=+0Gz4#L zHLP1+vYuIAynP3L@=nVcTV62hWe2B1bq@&#sJnT!!2@w$*awAhQC#42rpN-uAwdJs z-S&rWb94zDQU_qzwm%*bUw>|aac;7Brlj@O)c3WzGL-}C6B&?hWf+TqrvPRpuXx3o z4Vb*X!qNL=pqmauK*q>uTqg?iDoGP$Jx7N6E9*HnyC)X1^n+(LnQlxvqJaZoYuF)9 z9A8d)f9r6@j+cq$qsccr-oM^y-Z4X``*ubRxf$-_*swtkB|eXm@YSyJo>>{H*EdaQ zxDX7-2l_eLGzd;a{tBzApX|g?BgvAku@|6yNLO*+T|J>R12m6i=ir12uk9S@XPUXG zjsSfwvdhi0GTlzb!#TQspn{~~LV9z14=XJ-hmp7Pr+h$e$-K}zkyOCp&`cdR2WvJ+ z@M^p4Feea=huI4TPDFHs#v>;rPcCh{b}uU}F^$|@X~c@yAMTd;k`=tEw`E=+OcsW7 zb%xVBeS|!@Z)`RcL&uP3`QbuO5z3hX_YOE0Kta|=`C|D5i+PwYpW;XwZw2iC**(P5 zVz7%>uT1rgYxvb2TG<0(=-lExKR*DVaMh>g%#ktrG)`v6JIRETW+rQtd1UA>_Uc50 zl3s_inI5SuaQN3_glQb>y8iqNBS`TjXm5gzCWqHnk{= z4bn>SRxk_6o$pgDq;RqYfUT0%XEsy<&-z()!)sKP|3$ zAvHM@r?=T;f|DvP@V9S#T(BM zeZ8NFxm5IlmrTzb&^#1C3qOsB{()2C^zHz8*uk5sgzS{D)e?DH%|ePM_pDw>;~@YR z9O@0H513zCCItkrMC2kMx#mj8W-?~$ zaZ~kWcV_827)Al}F#Gp+B!lC`#5sJ**Xxp@pf-DR7e|w3^PF|@jm$6IzDH4wajJkBv zN(KP?&ZBP8Dg6GYYq~0sa~#{JX8hRk<2wWdPVjt?wL{UxvkF!M0c3gHRyc2q?N)Re zWqq|_A2!;+=J(_y=*OuS3n;whYdF{`eV3nNNrIX7-;4_Z%|pBX{V-m*B&qJZoj`x# z_KZo<;%8bb5U^Kw-immHtOjZbMI9)I_g7m_t~J6A8&)Wd%%>$z^|VZQg7Dv=P5)!2 z1DTfDRRX~A0$V$6Bu!-?(>B8SSj_Lywf?jBr1j_iS#A5Gb(im8+2Tdp09VF#^}n9Q zr{occgY|~Qr|;Q_8KPqu08Q{ZLDm@rQ{`ubMTp@RNS2+{EEVi<&Y1+e`k9Rxc?Xxi z5=h{6ea@>PTCG&it!}P(#{n#OJYGZN{hrOJ6Lfb8s(SPO58AvmNxT8Zsw?uY#v$;G z-ca>jK?=Re9#tdpj&Mc;s7c0n3{MI+bzX8XRKdAc)*6Jp>gW_{rLZ2+wxFZpd(=H- zIVk8ig^;J#d8uLDM}9xfS5fkd!5Q}OL*2dPxf^glN>;&Z+1wmb^ER-)#m5 zJLvLyT)VvEAmHx-;&@lrEql>q4JYk|3mPmD03cyV5Y&x$aP29FmjY>k*%T&~u6;!L z73EU_+jx}~Qbi9@M#K;J>=xhD-E#rob+s-kmc%Lrvt=up)#yIJ$yGO7-7pWbQQ4U$ z?@0YBk)W9F8&Zonx)7Nc@DSLaPP&F3rdqd(`qLtov1N6J4YGLy^`W(qR<1%G0HCQM zOCzQ)&obb0_ZiZWSaQbG=gecku1uHafcUERM=7dD4Culq2B#k;zyVfAmA(HR=+mg!Gs%j^d^}rUJ_Eacfi)2J5L!2UGm9%G? zJKZFY?6E%c?%VZr79dH3{dDZulzvoY{ivMc39vu*p;5AYYx{%%@tjneA~&R_b87w= z*C=nXf@7bgM#|&;(2S+S8Uh<-As?+sI%MrN~I>kN!i2TJ{{00P-xEGahM(?NeT6x>X(~=WB$0qj=ZOmXAZ*0!EYe{Xb}1 zT|CLwX{L9d%KBH5Qwou1~yBBySTR)UHX~RPjY2nFV0El&4@3@_^9!| z?L%Mg)zeuB=wY&5kuJT(BHOS}36`(PhFe#`>nk>e#}7q@lNOD!q>JdT|Icr zc%cDiwNwI}Qa0>V9$Hat>-k1?_SDdeO*eM)obRl^@SV>-ljNHGvfn-zu&iqkI|mQS zR=A?OJ*PQ5BXm4{NPP6?z<}dj$3gH;eJB;8?@T(l2@tl!IiMhjj#L8wAq{j;_r6#I z1)pwYx=!FD&_V`XZx}Mg#ZfeE{;eN9B=N7%fpFe|w_flN`Ru6$7^*(ww4oaXpbfw{ zM)OgJZ$0XAe7ihRhnA|B#DeG{0{;IKVl4K?fC^bC%PR&U8CD5EnrK16aB|EuSPZFp z{1Ap8x6p#CB>cC;)+i>4?}-yRl_gv(KFE$0_ef~qd{Sr5dioGWj$RJXxALljX`rPW zlT)C)v0z z-oQm(mep*(4PB>gAFd`{pUmmS0Iv0a?DUeh_cn}iq#UUeJ+Q1VsGDyN{4j8RFA4qR z3jOG+Nv;sFL82;G8{|U`>fKO>S<8PDKbRq-k zL*U2lOmW2Xr;yu_?%E%7Tk<}_jZx>GWxIT(5aKnV*ZkQ}N)l}5ch@tsi7YPXS5v;R zTNi_?h{dcHq@#Vkn`Heuu(v7oOkQe_b$h6vNl3s;Ac-(^toI}W*L`T(y&0|#?dxB;B?nqw8j`uyyW9uSA za_}o0dqgC{o|E3vd2)8LFE{|B)`+Gpu=&S!(rG(BqDE33dWlnA^<4qiU~nzVRkj$@ za&p?DJU}|lwk1c#k9g42RygE@BmhRqwFO)0$~eSfxU^yD5(Jw4E3Ty9g3y?^p~Rfyf^- z_jFtrTeY_f8xY34SME4jA-{Mayy1RGeH<81Gc=h3b=M7fXzLREIg+AHtYV?!Itw}1 z;1Ndy<5W1j-r#J3CvT*VRP6x^-Xu^SlP)KdrdKZDd)){iNIB;~K zjkR4N<1>yQJl-7ht{^p({?76~Q-FNy~mlX*9~W z${6zEO&fKAHtflcqf6>g!{5_+%-i>W)QSt+``^24T2g*iIU^g};N&qknX0D?k~E1R zK|T~l*CVB~+3;*l7v*BF9qL0(QtBCp%(LQD%A7#6CZSem@td~b`PRSo%~?>ZNexls z^q2;<4jhQh!`GGA%xtd?kO$Y)DzHQ8FpyYtjvh|5iy6rZv>J*{y9gv5XErcx?BU9N zz>l$!;WM3U;?rmwe}&l5C8xo;_2FEzr{qaV7GeM6s81&EBfIT=3gNNOM4c*Uj*2QJF?8`E&v>&IRTYL=yNPB#EQ`M8|)zW*oGFMo02*QEh2d z=X>iVU-xBg+-=653wh6ZK`h8*E_FE>to~zUjESGWw^X^qT~JAk6=G`io){<}(asnn z)i9Q7JC;ZCo$;>^3`4GQ7#yL@BYdem)0H^C+!DIe+H(oqerRFr3`rCb2+O5SIz;|s zG8ISU^(^SJhW&no1~(*mAgZe5)lU~Yu@}F6(tloK(f=ud#7##RUWo*MN6vhSfVh3n zSwK%YkUt<_o=G7dT2m6k0)*4A|`5WiPzX%Op0UC#fmG9KOwbtJo()O$Z=f*WPrLEN2*>}4F zb-PBFT@U}-^VT>d+NFEdz5@*Oy+tQk)-0P`PsvQ1^rT6W6i@aYU64$GWM4y|8Gl(c z>~p=uq3I*R?%rzicipntY4t_JzBEh%$BTXUg4KC%efyh3C^F1!ScMYOKmN&nkmH}Q zOOAgDRNbs7KH^t!T-|unCeah=4a@okT2x!_>ZjTvhII;0EQ-%#eqKg}ND@%jB#Zpw zkNYi2s(74zR3uZ-vHwIA3NbX=PkDLFANj!+6=4YOVGMAP5b$YJ;E=+^=M|F1NP9J@ zrfhoPwDAcYtRx2I8`GHS9P%F5UCt?})rKFV5$}W7K3&0e?fTHw$ET(kYCVKd)j03g^*bOz)BM%Xbb^q|T)-^>xtjTD)T90(4p~4gIr-!(_qNMC@>}BOQ@?{0u9n7@^*h zAV4a|ckQ;MOWB!H@tk%u@Dov(bpJq|-6(Nuc>lK#fX3H^zO+?_SEgR3dZfamE=UyN zESW-1d^E!jO?#2Wh=TAl55~@%`9oR^H>cq?gfgfh^Zo zxIcKK*jHIN=N&HYyru0SDe1=bl+sOvSbmuQytl9yv5AWH-YaY%-rnKsCc8G5^EN95 z^TQb-|HJ!rYv)^zWA+U3=CpgA=%;~}*wocFXTz?;f_&B*>>R+4f9`OqX{>AC zgI%{n#1f1-g08WJRd41D3Hp-UAm^9V$_Y%avnY0e!vok!Ts-t09FWRrDut3*hClP>eXwWAN+tuU2 zZFmCsLe*XUez=tJiKJItjYIvfXu1U2EqCP68Sl;Z9SKJE;doE?k7Ae@cEGs{R+A4s zgrG7W9)AYVPl-i`9%40lR|CiaZ~XQbEvaU2!_Zm1^lwNp)nxc4J*ngSCP&=*Hm_Qs*WkfmNcpAnIPtPh9i3vs&eXb^)#>QADRYA| zKGcZ-Ji=PCz@$4Ig+seMhrs5rL98xXE5aTLRvgi@XS8g@E#sVrJ=JNCJu=o(k(i@U z5L($zT9-l`iL*!=MuY>-n$G5204p!L(Dh}jkR}|-O&G!-s2&V((lKHNxM8wP@%ARk zSZmL9$y-spRdwnTf$x>ZdFy*YB5{x%Fpf!tyX4v;s~v!i7#)sNZLOOeYAqhlbBq&? zAd&$T@F;YsAkyTKjtshKsyW-9)wwbg2s|a)2I-I!0EY5;anlXpo={m@d*Jn{E)Vl^ z*m%{B?azQZ0os_)j{s|U1kTwzbQLokaK-~PPHU5~V5VF^@&;(ero%{^5zwy1nrJus zW07^sDc^`;uwxgfX~ItH-z7=4Ql0F87Aaq}xe;L*ax&4~V{h}^%3I{XIO3t&VYzMP zz_+v|$)+Vq6^f>PgxQ38xT};PHMw|P4jen?FE_;#$K=2NUAo1eHb^v0Vyb;7*`xvK zxg_ZtnmfsacDGR{_&RdU2yY+L3P@gH=kEZxzRSgGtk{Fr{tep@+K`C4XWtNCdgq}X z4_~hv&P(_HC+r``4TSR!`40h=11Glc{}!z{1hwATx=%739J(@SJk(p8W5bS04hx|3 z?%IHMlwMV;CEbTbxp+~=qat0sBawmD^|@}iVCU=-%t;8NyFwTrvCqnEkpil_C52G9 z?hOT)Kh!fggCK_(f9=k@6g(t)2)kmvZe^{%(iu7&NJL*3>KA{hJrvi91M-?kHa#5X z+P$KqgZ-DLESJUVhFp^QSCoic%&+xvK93DvUzL+*Jzc`J-kYIb6S6r;P{qMO2OoUn zwp$@O?Tb0o=HkEo%?tcCj#y9|cwE8@ z?Nr0O-fF1G;i48bjE416lyI(w;sn5)hO?n`3?iO2YWM!f@bc>FriGMG*CR`sN$8~F zi~S)Q)Q|T+f|9n?pI#%8)1m|%=QRSmMj`jA+TcOT0K0pW)@eBH{#sQ!uVwm8wk9)n z+coq8rsvc2yFxHtfS4Mx;x_3#W>aRkLw6G6n7-@=uw``X^k;$RJOrZ?eW)*PDD8h7 zfo3ynd|5X&`7I5Ii6Q0BBgWRG9n!Z`QZbPs(T6U>DzknIT2o%;;Ov<;-jQxs&~kEt zmv!=Y1!un?F@rWxM(1nA*-SSF$>{RvWC+lapP}O-N1bYr->W>bTP+DG2hOBRixuw) zY_OAel8$}4ijH68#oYs4={wSM@;P1f)qpc0+m$4ua8!?!Wz(X8<2RYb{s+g6IBshc zq)8#)35bo&o@Sk{B z8$1F45fAwc*x|^0r%rqlzy@M*)@T}PftWowvmo%0B#;dfJ-NXEv4_a&tnW7ad(LnU zxQ=dLJaUA^04FyVvPz)g(RVq`3ATPtyn^&lS0of|Slp!sh9qyZ2E+;DsB&Bk8t%?r zSvx=hVMnfWx|!*W?T}D|_@6hpju)hJ(dh@Hr>)P(9mgmm1|lcPZh+w<`o|pa_C#sY zJ~nDDJ|1R7lP>Y|4P6Z97C3DKp-tYv>wMiHIq#yu3BfDlnRJIkHcxrZuG++>2^%VL zctVs*llR#ddz!g?O1XQ+0t7(cK#fIKB%JJu8p9dplXgPQd!1U!Z|)yWEqa|=@G;be2eQ<-7r+MqFVz!D z?m&rM%@8?G*B44p-u|Ok2na^+={TYh9eeSPEh!fa9h_3?gz1f^Q}luA z>1B1n=H^rM)%p{xzDpwEd24wp^(B176kWvmwycGuH}%8%N%rkD$EtXN(a~r{HY# z2F~yRGbDX>wyokD+bV=p1^m|~4#-AgSh_YDUT#~`NoSI6;)Mt4VzzXe_YKEHG6aWw z-Ezq^zrVNCSb}aH z$y*SS&;m`4n9RllG>Z3>8z-pd3t*(rnJt-)AT5Rolk;cfA|V&WBRS8FP=Wr9nH-S0 znM^Px6U@lOLMEP&30zKILH|Z<)N`+r31?&yA(Ko77f|1rOcaAT@MzSdiVaJD@7r1e z)PkQ4Y1-0}Nw{t-QiXHi7Sg}(e+PkQIY%(CxDHp6)~Vom{rI%8 z6r*avjZcXs6;?q6FfeNIUiS13asuhF>-ykO1#7LEio-cFg-8`08Cm58LKU(tZ9bC5 zGdzKpPTeSLP!a3~w&PaJbal295BZ}FbzHo8Tex*>iq=}!Yzls6-%*aqgyEGmh%9q< z{rmsEDiFQ0Ye7PHP5!YUB9YX`LF{F}Q8YSLmN1M~2r76k+T5WdrKzDY)B@?WsqySU z2m1!94>14+#}(!raxh#rDMr!&S0gqMkms!s<5 zM{^T2eIN@&DyoUNbBM~!D~)hle}U;Q5z@;|mhGN2+IKckqM)GACm1jT*f%G{5Mm8T z6bXmn7Ls9$Clc=fEoRq3yvSZ!(|zSgJJKt5Jc&19F z14mR5OBm+>jAW?DOX`@AxHFW{saDp(Pt;?AbS(HtL}wl~B)EiRS~Ma97plB)PYqi{rY?ksTb? z`U6sKs0IvN7rD)`ha^&TUF{&*dj8JxV3v{~Q3K+FSLqFDIc@QhJH@_LO3;?{??_s{ zhJUntC@Y>eWW{f_d3nIwIg1_0_|bQe97shCQb*DM$q!P_bV18hFbH0A3Y(@t{4MMv zjpRd0ya}NhrCm*npmO9NsZLC5IsG&4rW@7xPL=T7W07UBVKir59ggp4)QfNQo-6ZY zVs2<%=Teh?#p-IEB;|H5DxS*ok$t4hFS^Bga{$iw_v}+q?l5?|XQF5%5v~NXk0!u^ zlZtwVFAbh6Xm9Hem=X)Y(9G#FoD4khNxEz|Mc*E3BJiwQ+E?wF4o*0QbIoTw2Gz)- zl1%zOtN7p1s(Df+>7j=`dvO4k5LPUwr<-e6A$v4@T{ez*;#M`%DI*ip*FXHx*FXGQ z^grk8AN-B4fA9~#{=wh;`Un37{dA7~FaBd%=I?)oI4gzJBlv~R3pz7M%Wi0^n>?2g zzU{Am{^PIy@VCDD`A@$3`F}%Y3d^-u(*_o8{O4c);19n3!GHGk5C0?G(y9KF|Dckl z)|Iq$s_9Ihw(x_me*Sx3{rqntAz@{~BXQBdqK&`t^$&mR>mU3PHKW@&{^BRPiDUmi z{#3Ve?DKgmfA_1O|LCiq|NXE2@UNgPe9b|)R~lQi_rtG$`0tO6weSCqZmj($zxh*! zw?T8Qnm6}{|K3+W|2t?1UkKA~G_`2$zZ4GY*2;WfU#VMS2$1Q({x(n0@1wDDVBqb> z7VZ7!*FXGAU;p4g{Q3ufUpIMB?|+v4$zPX75B1l7_>)2!KB&5rhUq+R4^7eOyx?V_ z%US;dX*I}c)cV*C#>M=ai=tE!sEL0DJ_n z9_dX-+o~hAO0xIFP8g?dV)>JrS~aAawK{Mua|Au3Gmx5NFY;Y07$VDJQ-j1M_Gxc$ z5)T#Jz=_?!4XkjCMGH(73B&@>8)tc-W;*E`$+kfhCV+4n@akPtYeQE*-75-E1T;82 zqn03wVofW{97*79Z+Z97oxbpnK zN+%Ix-q5{0DaBN2%^>=^M(o6Nj0SjvAFCv$ihhjeSExP@Y!_+H#ODf)mYA|GYH9yZlfqxwRHb+mB@d`Dqa1eST?J zyTv`9H7dNLlTsHWzb>8z*inrxB?!_qqzbA&o~N24=jiI>SK1)fIp6o0!n6~eV_wk7 z-kbo6mown&OM`5~9N+@Voz=cKwXx@rT`jUlW~2$;i|ld6)6})j@WiJfz$Mrz)fxbbJb2_> z8~dDklBo&#Hq$gDIiSo1Z#FQ7KlZ0W{AxHG z1{J`|37%I_L+A~KK#CNfdeYXU;#1M=>I=f=Z|)4~J$Oi-bWBqrf);G=r=p&YiHV~p zR;zYJN4tgur3=#2zMq#^X4z>zotvCWkh&9 zuUAlgc0j!uaB_|PP=_KfK5VIvRk!?9?RJ15g4Yeh>>ldMtEElzdLIVjm=se`tgTzuY;VUref!H!-V zd9}amD^(S65x95Qk-WBb_>525Cf$-W7{r7eNc|9(Jl_f5lBg~Y`LnOAtl`XTB<^tY zG$Hl5KNNPS4s`uE{Poxf%SF@(-IT94qQhVQtf26L~Ic#?bvF8z~=D1ePFdX1z z?ief-2OOLhgSR1|{de_Q&1gph?MmUh9`R{y{~>1izsfkmp)Cea_a!cN?HVTjA;9(R2+BnyT8nuRT@ZN9- z@&J*uPkjmhQ^R?u-)@iqT=N(q5*MB1Ma<8~dKDt+OmWCFy}qBiN0!~_+b6_8c0lCg z9*9WiJIUqz&4_w*m6Ish+p1OjVn#K&PBr-ms;<*-_C0MyTG7Wj)%ZHq_&U|+AuY37 zXQZ{f6fXjzvg?bhQF&NTwyP|7VW>=wZ^I;IoVO{^LrTy+8;r# zJkg(zRBPpOj$+UIxK1ovC3S6;q@3h8vh?8b+Dw86^o%(vbvnThJVV+sJ9d5VBWqA+ zQ6oU!F`(kpIasL6!iev!PkYFcOKzDagP}>8A!q_uT4Wq9l0fScz1?IdJN5#fxc&#qRbI<=Bb@O$RbmoCmCv#NqldITc?P6V=3;lv3L;ONLo zkSCq^f6QBs>voO^eP?A9KKdy58@BsE>&<$sH#ohZd|fRSgb%3`P_gU`ck+C5fEeAK z8(@mf>AhW{UDuQNe*HRgqEqFN4+UdRokN3i5DEe>O1_S}t^l{;(Nd_l!oPsIrP(Ryn#>Ak{B@|aG8r5_*P?ZZhn$^yd8tXY zHS0U{OqmqD_K}h0UkeZ^2^_VM+8jxlr_&q|;ZWgP^O8{YA zDC{^lwD3+>w=ni0SC3lnSyor&R@ngasR8^_7woUr@++VlSi8QeRAW~~$xpYlRpKVj zri3$~;|;`{98W%~s;;--MvE3)7=nNV#E){VXu;!haYILKHiZPL`4(Q&Zf@7rq-bRQ z?l(XCjGZbSNtEQ63r1Y$I^ZQXmMbs1623k^@+46gl9M17$+J4ondP%v7WaqbY5`3s zit{_PZe6?lZsGCkNb(zZTK3W2*lh*uuWP;V#-bry4%eJf3SNI5-M{x&>-by;Yt}_A zPL;8zzFh6N9_LVc4>6%=AOp-xOEQsQUV4%~Z%N!6N2-gb44!V|4Uu1p>(*&cc&>=U zk%QQq9?J6ca469=!rr{_X-{j*V4f_>yCYAA@m#&wN8@B0G5L#!)bFFng% z`N6)#-=0P6=`}ON>d6Z&U6r)m)}lJPPQ(r%6=0B?m-7J$N(zSqp=hds!O`WG53?%H z_^NN)wd(O$hd^{GMrSY5c7sgjk%O07 zJ3ZIrZHm4EBjco*g%8 zo9EKKeOkcD@Nn4yw#TXjr(kX?D zc|VEggN^`GyGv?=_P;5&>CjO29s|;CdD`1NPr4Z0>XB4}@FM zfO!)i>K0Bgx*KKNBQdq-0a>W0Q;{S6HhT6(>>wnb_K2H!)*+z=zAkKeGO?14bOd&I zy;O0Q14Cs=C#GA9mpLtsPC@~s(2VbNWqOftZbJtwTxgiHll6qiH)5_1F9g=OWU)7W z(i80?RWh9F>=qI?9T>u!o=$EHA-k!oS-UCE$6*swUEK}Q{_;4LUz z=>6Q0M4|}3G;6%igkE&H{jwZFJZx{W(Hehx?b`FKC_)ejP*J^QF zAv+~M)g@&1YF>QXANqQ+KiK&oyxdr`ikI8U^|{*ZF)eq)wE=n`(e$l)!K;i}Sg6Np zK72tL^t~)@7>uv7RYGFgBCGNeww%F3qs_CT z`rx&FjSwTXIWG#y8tFV;7uAhx^LllOUaAU`VN_wi)cx$7zp(=)Q0l2*2!7Ju>iweg zA3HY^rBmj0Rb+NfOY``v%!+{EKG8N|cl{@rLl5<*(~ zjom#0T=Nr&{Kanqz~h)B>kR|P$Up4~aS@EP2hG?b>EM8u{RXddRZi1(biQ;pNBa&~ z8ZSBBC3I!HD8#%0R_8>TfPxHho)yf_)E4#^Ix!>Kvgk7{Tawsyq$T-;bbonS(>5q_ z3t3li!Ze)z?G@s>V3&7v{_Yn=uhW(}J&>%|cOCWpu>XikXE-&JKAykqX%&26u+$+^ z1l5UG%*QYW_f-A#5oDk8X1yp_w1-C7bq49NeyS~5YDXFtFs0{Z&pMw|L5i9odFW~3 z>_0&C|M|vep8+zQZ70s~n=Q6LPD{w&48Q4bB-obJzGuN0w)W~7QR}#Hf!cDHruR#^ZNhkw@1)2V+sZqnae)~ zmrOt2@I{p)VgL4**NlJfxd*~B7gp8P^z6AnV|Nnq9G4q(9DnN*w>m{4+7a>*6S zg#0sDStMNS0kuqBLDH~kmy?8h!aw84Qb&kIuvv}WOx&@vNdPx`&=WuK9gYdRQUw^1=)cd@D0XC!x^ZAi`6 z)wBa}i6vIzXBb-fk+k6wV8|sNN+cj_d>2IzeEf_&t`=IfbpR^S@a0lpn}Q(W9<6i> zhOs2o^srv#?D74QD+wK^BZ8Mr>T)wHtL!(NRC~MSq%D)4fD81~6Fyp`hv21kr+`}U zq7IkLOSlhlBGU~JX_7}c(5>p;|1R~zI2^Uy4<;Y*a0Az>>X-TmNu5OQTBK4g<(g@s zQg{)oFtlySnB(Z}lxra~JMpYXcmr+}&cFhy3KBSIU#DSU5%)7*8Q)fA@5=YT&4~;* zFQiM3u&UGzna0r5Ov9E`$RAAmda^9Slt~8onT8fXHf*GZ-{G1I5Q#~@(7CpiiIwIV&hYlQ1_K_&2t8$c`3?% zEFbbY67n(%9+J@d^MA(VF{UH3MdBfNhtWC`e@%u5LRG}765L`)3g&XJsilvkv^ z7ds?v#~KDpVowd9%TC$%x4*Fj9m8P~ptU2>UlA>8s-fb$9_Id!p~D9(!YDdMSh@X+ zMK>dga!Y8kES`XG{Hrv|fEkV^09q$HW^WR@`l;mwOawJS0k4yvN+JCCu}4z0mb5aJ zIw1$(CpO2>C63eul{MauzjOd2u80j!#jdK6PWyE#$;WqE)*G5ZbFhZjfF#0{ZQuWx zHY;a3&6_8cZvgZOaT89e1!m7oS3*rkcgnTAAhs{7o+nc>khxY^?194?^Kc586Mk8 z#Wr(f;5}+(I?t?ai4d7x?UZg}mx_b2-2}>0!#XwG>D!J(U;|jh=n7QUq$}}L$Dc;c z_^Chw*zGgoU&7c>B^lrv)s+c?A+kdZ4Nz|B50i^3CAl<*R?x3}XAAwHZS8iQ!S20R z5+2VQ3J@?LzQO4T7Wip|5Ye2((ZEY18U{gPPO&apr%%&=8v0%`EVld$qYKJ#t5ds#be4?-Gc#k!V=#?RySLcvG*kDU*m2vtpT9iX#*ZCi#j(D z(<2S*lrv6jze*TW0m02#Um?wM%`YM&5E6GVHM1wgC*f3qXFUU3tM{%_iWiioAz%UE zL#AK**1!6#&pu<^_IXIADBeRbx;$$lzEX9V2^*QT%V*Ue@*Js<4={_eleIhj1`dA; zsXaCunDgP_r)-BD^^=&P6f-c>>=lMk`}4WeXsu1y_tGFUmGDq~~4h zB(Pg1k;AT#h^>JOdM>`yR!BltE**DSJ9wn_a%5-gU`3Xv*uX))>kR(kXIiP!dnVvn z(a>wox4jrTzl*_NVcu^>M6%+c-_*ho7s=V_b;VUUe6G_w3E-8LjQkEcxT`KYh*{JI zx}9i-)0}mM+Sm*;+GG%-BCel~y-poLKPPcpJ)_TJ`z9%W-e(SHuowhQI!)U4t}ctnUj>jO2BSG{Y9R}2^fj}bFiFXA~q*UbURBV=`AxaqR5sZ<@8mX~nMro!8I0Yrzs zF}zBb)62^yu)c}-E;`zqh9Gz86>K-(r*lFy%WcsJ50Ec7~*!bgPg$_mFTx zKG4}9*koCU)Tk zUsfs7q|;8AFt6fddw_VxT5(ps=8PBfG;FMs%AZw1q9#CilLu0HBP8iGqdAE^28jm!c@CIw(4qY2`g#wyasBd^*ORwZpyLqUDxv(I2>Cus=Lk=P6d z6&9cva5A@CTIS-v_r!sJ2SuXX!owYD+T)0B8upMs*qwrZ_Z}jTSTYZEF)1mRrWW{M zB6Ux+L{IG{!RWzDEJPwPWX_ti3$SmjvA}Ve0JlWs@G~d}!qkVJ-$Hey0hbBjjK}e| zRdGP<^=8k`tP|S>7YqYB_7j8nLTrQC7%^#dBmyWFj+UHHeHB{(Q?80*Q&XS!ba^#M zmJMfPT3tF)nTjS4Ze;zh-xzRW*ib&CZ!&I2l4HR9DJY&cu?^6yR*O{D?@Vl#In{M` z9SM=*<39kSysKNQXmVNa2`)k+;TaP2aSO#LmuCq`r)z}y&#H?y>~Q4%wDPrX z&niL&mxhtg7IpoPt~+O#8=`ho*dt{wKX^6JU#o(V zv+o`AneITGa54*z&J>mva{I15)^!I!VSw8;oFJNMhfeG{aR^+4jLKz2btG}qG_oM< z2DBQ2)JYRy#sfCYMlwZqt0b=Mbg?i>oFF7c(GP}lNK8ERTohf-il?f3PFieg(olUT z4K3iL4dqSe7rlvaX+yn>Ek+im!>6FTy}Z%;0KIY|Dy*UGu5=yAhWr)D9jnNq^Za}{ z8+3sONQ*){1mkLGn`0oPq5{nP3Q1CpAw?&?u5p94DdvoL7RMwB0gP;2_W6y%UJ#%l zMsG2ksz6t_aDqivn+ZqVkbxa(AFnJt{4vPM4XP2+{!kZ!n2J^#C}9mw)VyTylG(y> z>1=^-G%bY*9^G}qkc^P^JM@6%MVsj+6OeMqN3!n30@Pb`$^MWw0x;^4#;8HQFj^j) zzJcFxO($q}KWBcNIwb1E9-k`=ji2S$$a?SjF+=q`lXUDv*H_2bI}Xj(j>6YKl``n(=kT36wfVe|)3yj)ZyA8u63vUHaF_x=zUl0Jz{R z^1J*-?ce^hQ`;6x%wpGKkPn^VLjXUJcm}Vu{1-q}+O8eUU-pPhW-MX8H)c9^GR_y| zly<^~jmW;MyL<7Vvx{9{X8_{6^E~sJgp$CicCHwcvhtLAn&s2PLPC&_}ij8;n1CUw9cVJ8b~dC zoe}1f^s>|J_oFhngqWs%A5dDMZaNy8P945waW7HRDLc8xR~x34(5hok2PiedcHQn) zX0OlO&*5jdd;7*H`jVA(@tu(kX5k!~vO_t?-YYXVmwbtn)7~zUjs|~p%D#WR{ zZ=>yGY&+njmMk%&advc1Z#16X82n<^-`I+T#SF&O?S0iS-itCqyV>D zAXnwuR>_YhiKAietiT;Rm5#?3FWFS@mE|V%!pmN|7f0IF6&oT^88_`(!Q|i!X8aJO zM5H#k%8=mdl*E@MudR#J!y}TbyD%P{+EQFMK+POZa2SiPuM6*E*9G-!LfGt|2(qg| zun5L8)JrCZsNhrhH`uVc+5`W}JZRV~!-6n`PT=Xb#{-kZ(D5~8Jj1Ua9dBeo0QDN6 zmE4`1C&}bgy_k?NM2Md+z4>Rp`D^kEop?F=544`{Qd%{GD`onC#TC&<$IXs31a@r< z&C6)Gnz)s&*u64#r*5SlyF4brrB`WsL22Tt>2j-a1k^Y2odk6{9AofBC%&D!Zcgbe zoi~#QsuXbt{J7W;*rTyh6%&y1EgMgM@>*11QGli(lvsN7wj*=7p~;(IA;4 zow$W!{Ir%59950HB8?=qd+C(qzYG&6xOA-71x!>X+k$NjPQwQ#@_VodNh*!WH)7-x zjexX>`U!r2Y|~$9O@RO3w>EGK;J^ryxt!49bO{M74t{85`BMR`bsN5F#Hv8l1pb$l zAw*=IIi)y}i>R8e??=|YezvokB)FnOUdz%!{)9k?hos3_XcD=*Sls|(QzS}@S|h_Y z?I><2qW}1-$ol62s4!-a6%}M#)-?jvN%%)_Cw$l%wrxIf3b_;DH%h=z0@{$iM|d*c zNa=4uz0*n)sRRfTQBJgaNJ)Q>+y{>)DDoZ>(y62H!N-UGgO3m0hgBRpejGeRacFr} zrY+_4MFfAt6CesU2NFR!{*{rdE8-fRH=SJoF6nJZ1pg!Bj3_&>&<_Uj4lC0bYbSvOE)pS!sSM{7MPXeX!AOzXQ5R@+= zAeMB2@te9w+r=N~c#)w4)KOSPxi) zCb#lO4U_KIP*9CMTArGy`~cC=o-+_R7?6BW!}1TbNzpiAtHX0fvrk^5=~!{2)YEih zLzmR9GoOebHx=xMft1=~AK6SlW1$8FopecbpB8yha^c}P8y+!HcguGTDc{y%`p)GD z(_}e&Snfd0!2q%ShY9Sr42U`&nhIK2$*7(O%Or$$jy?5?f$u_J{*WX%F4dqve7$!08&^W6`FHj> z(X}P|(RQuT+kW^WmS1^OI$e=xx^5t!dm|Ys!mY})9dR0w`!p$1G#<&Z@~HbOE7s7K zSjc4;6G;A=4cDhR*F6eny1(1~Xpv*L~eM$F5(kz8e#U18R zdAc0;&bvt&^V6z=p;7^%BeTT4Nu9PFR*Y+wkIQ4ZoTwYUo_J^VcynpHQg@kEAI;-n zvM3q4!gH@Q5str_wGdnX5($aOR^|vYIWNJqpaLmP-LPMWfe zLx;Kfl#w`B$o7nn@gU`T_#DD#n#yGkYqga2xl>d;kRH;7pW^dSo?1z)TE*02%;i~d zgA=>_=Z0xuee2IG1p?#E*S5~3DN}m~0x2J2E-5WK#yQb|)OQRPaPJUjd_<67o;_2| zpH@qF2{d)qy#EQqOy6;sII4!OudDi|YA|b2V&LoMDF?Ei7Xvwm(}Rr_@O4o`r04#H zj`*e6cYKggD>1-Yq*7oiMe|B{;a+okRX>P)#DUC8$3y9q3v)&vcvZSSkd|g;fdfH8 zU;R$v$Rp=~%r9r@4ylfQ7|_uyl|oY~9V!U~!>&26>-JEPMrLaHt3=m|Of6btLtBw% zGO`K4hKxVCTAb=?@lefm&a^FZJ)Fd3Qj;!v_rxnNFge}++Hta;*L}W6;w~>vXr?1?Rvt#Qp}ZiY?3DO}2>^~{QM_G#1(cER59@@^ z0WWcBYf8Ogmyz%~*5fqZ{%;ab5&K!yqe;zKn$*~A<~pqV zaDq84lZ-F+{MPBOChqPD-qzuTJ_6}99PG#cE(>SgSBnrE) zEla2T(9=rRG(9In(m&lLcfka}Z#AM`*x$AH)EX)3>q1YI=a|Hs%eLIvI@H7k3BzQo zyr|-hsoYevqa#G4UbOore{MOc+*Ov-^<^OXgbi{A*YEg~8@zULE>^7!p2^C9#`J#| zHA3be<9}=RU8XF&s1!Lgotzq}DHvB(!=N6G3lb>U;O8^n}mK49}PpBnv~=_ zcrM(Fc@!3hU5!u;I6c!~s)|9tfVa;iK8J!&3y}^B($!DH zLPljsU?K4+CZQJizYodhbT~{hF<&K3vwi^ZuPxc1$Kr2nFwpa89F# z^m7Xs`|!EFK~;arG}Z%}j8oB9o*(eV;E{ zX|pZ0;->*pYI)-j;)n2a9GikKi~3cboo{Uw6IFvF5>_?y_p-Ie?E&va#4pbMH4Mtf z9&$N7oWkZ+faq?qt*OuaqYcMEIguRpQ|t-2k-I?@ zld^-?w#gbp6R{&M%QoB(5v?@PXP|2AECepl9jwa@BQTg8<-Q^MuD3$AvS_)66DRA} z>elv6x< zxV1OW@<|aSf0dxfWkUs?uze3Xe1X(scpT!2^E^(6bd$*jb5IvDcif>M?IU4@#`7l| z$7Py6k{)+jy!p}~!P+L4@5Ys0AVl3k!_!y zIPg4#kA=fELt1Rvzsrw!5#OOnnznp$+R&)+*WbP>&`=@Ln1eX<5z{?cjkE*)>UTcMkUAKE1_wMbo9%#+R^?(pP468) zpaXKWn~r{p8cdT|-vh&dt!A(?c?dEXjHP3FA+Iv_%hF~;mo{-U8cHX`#WvYur%>@! z+j2d;oew6`);tA>Eojzrc$ozd97Y@IP+V((9Xr+y2Eu@5Y+@yy5hsNoxiA}{9e{Kg zClfoTafC7tMO9OaRVRQ=B#6CH1-&u-4Hu3kvRdl@W-ejKJF^>8RI>TK80 zzHQ-8&#hstL}9v`STBcXKmB?oF&AP`gV8wflXzmi9EzXlaKPHluKhN#Tn-hqDHb|6 z7MHKB%d5nTuN4@+q0&o{Pzn_;YAFhynkr@~qWr;KViZ*66Un5s z{9?T$y(kSPX3$9mnZaQTd$L}GRWxoMI>{#$+?6ruPR5Nj=!c0nF>q>qN3U2w_zygF zp%_eTnx<%YZ8u=Ik$x1ftbg-628+cwK$W@L^`vB;PObTUSK~o!tL#mGk}ve{@`Wxn zd^!1B*DO0-jee1j#6rR!%CG#f^+-1f-B)YI`QOqw?=Un8E7AX-$Y+)+kUs@6YE6C4 zNOXXvN8hYw|LM;-zs?%YgV5Q0UC`5om~^B|9^s_NXcZ1gBT!F>S;35``H;#UXq@>b zZ@4gHWTLP%;EOk#!_X?IkXUVTL>h{{_T)on_?vmB^=H-riDzh$0NB0)Kip+OD#VcA zS-&G`hUtZqQtbam!U<6-NbJfplD$cH5zYq7Vd>8-$vFb>012@^AWUDl6zG3xgRFF_ zsy*@~v0DYT4v0c7g#Y&)cx*YLzYjlWS!?hXs`RbHVgzUkRN+PnVB| zCE)!?tE>>l6MOw76ZL1hm&ia2^apAmVh_$#>7!l>Xv0sL0iFdAdr1nwgAeuhE7OM+ z$Tq6jK|aK|(1&0pV+c7&D$uTwq067*Xu&)&&fV6O6|$ZgVxm{zj|s9075G($E-Jf*1Dtmo@FDYo0QT~|Hb zPN3w8rc$! zrX0o-Yd=vijCdg*rg~R#o~EwDfMPvdGixqptf|?vTLUj(A;_>Jy}&#nEFUI%kv&rf zc!?#vHe6>lJv$8BRy-=#iXh!0xVYGKV^(pUgI+@RNyb1%LhVP$D5F`CaSi~$VYO$v zW*}5cb|VbcQNybz_^H%txRyY*ltg#HXUE5Gt)brEA|c_jbTWoLTFkn8JocXp`oV zPkuh0Sy84K!Axvt8rG^nHfOZ&r%)(n4M}dI9c(m!F_?|gTQoBkP5kI^zB4SqS4B>E^$)`(dq>EIx2j7Z0|Cp3kNKI}ZRhEqvv)RH!e zc<1@(+{L1plr%i_KgS!ynKAth1LH*-v{5)pn~ny4%Ae0v@-f4c^LB%@SHeT!#LDy; zvNFQ>Vx0hY33wt0RXx@XvVP50eiFXXs zG~eA`&D)BDE2~lpazn(=ga*Y{CE5^YZi5)=E!!ZihweR&9@^~b`t4q(4Izp2yrE@j zX)VGIXw;*<-m62Wq&5Fy{p0lvB1u-`nQne;EZP~%aSJK$v93T8L@|5b?da3X7Glng zzGtA5MGK1^HkOky1eh9)m_tjQ$A)2qn3%u%&Cfo2&hvwYO96J~8IMgs+Bs7YN#0Eu!6>Y0Zji(j{+l+WP}vU;oa{><~1U# zft^($HAThI3HHznZzMnh!-fw3qJsGZvg{5LugLfl7_CPDrQxq*j?|WHRvziW2~6YD z4SF_P%_^O2$PeatUK&Wnz(Rv*)CXc58yjJ>9|)#%`{)K~!z6hY+&P9PMp_LV!F4hu z!jXiI{u>lSIw_&Z#L}@r;bKvjRU9}J0?ct7VKf;bgQSRm`-x_0Zyx7K&OFhb&MxG8 zn^WT8D@OY^y_(V)43nGsd0oS2C=x2#I3Tzy73PC9jVGdoSC@KgpZ0ZL74L@L{U6`> zwZ~5-fUXb2N&HiYPyAR1Px*|iF(L~_!5BRiqa@;ymf=C+0|_R6awUMuWt8|SH50Dn zA>zq%Ct+N8h>awo>UyA34BU@7wIN(86qI^@jK+$%xBd){-;+?M8Hr^m)=23_6xAde z%Zo0@H;oX(aJ)&()R1yu9v|ky|8h=d^9|0gI?b#K$5{KWy|?cj;g-Qholwe0EBux9 zR6NqM$73!@=fz_oQslG*UoX#j(HIna&aLgGctePsE{LqJ0Q#U#id{pV_z3FqSsV)@VyCn32noVFi+LRHlKCx7LyqtO*| zYd(ZFbT}W?bS3Y>A1Xw2799sRtq#ii-##W)u|r2tezrQ71#9H;>)1c*TJGN{mQ1=j zEiFKoU`f_kU!VbOO5E{TJx^mRH4~Gx_oAjRd4%gP=r(TD)x5S$CK@R4UJRVT_2U)l zi`nD^`Q=K|UDIjq$(7oft+1rm2r|6ZI@g!}dzbYi5r)-^WdFRD*_cx&M=}J|cO6(l zX*Ib4>g&j(LQ+p$As{37Op@dUfrRzYo!~exYA3_+xep=N_W0QGR_V$|?QQ?^a<*UU zoHN2+%j2x`Ef4*l5nymtPW0O|0{yiKhz$WwPz)z+99C|efPqBdq|O|=h6n2IY8QMn z20evS3coZVgDkt&je$i0axC&3K$_)`8WSX7;EefR5Zt^p7DUyJqRXk^)T?{iWjO61 zW&l&ng>{6TDkICAQW)!`_&Oy~m;rIi94J0EBb$<_fL9z}s)y6+QaILCM`DZWu>1s4 zJ)Tx?)QO=6IeN;Sb*I4#Vg}`@fhRvu2N>p-NF+A~kO-KqA-d=T9#0}6fT*r(6k>yV zd{jG9PUZx>fj~@h`)fQ*9Qbc6st2*D4tK@t)stBGcmyCfqvbBf5E&Y&<<1yMXCH|Y z>r%Zi9R?0aZ_Wo$HT+o9NvCumDq$Rh(pDY8rEf zns%z1@f6@a_K(p8RgS@3C3{10+9#xbgH6E_Fx+ z0W#NKosRNcfHdsG3mxL)1wNa~(7rn4{4(NBXwXpUE@vdi4BLolm=`wB&zjzWa3R)Lii*A&vQ~N` z>l!(H`1NhC^i$TPGyd?}mD{xJi!BF8P@&cGDOW#@Nq+>5+;l0LyyEh^+0c2{R3iCm!CQUGUeFrPHdObJy#Uk8f=}Ma&p^ zz`_(J`oVQzo~vJ5d9e)TZVgOY$4JUEh!N$PW04~I&t3b8vv<9ozJAPO)T z^MWAU6X<`uV(CaIh=-1Al7|xV7fUH4-dGl0ka_fKp42cmcx^xR=Z%c}N%f7zK$i+T78f9%-ZJ7p1+ld||Lr#&}ng8<1%Yi$jaI~|{D(*Y$LpbkYP zf1u5u{poM&Hn}xArKrIS|F}u$8sfwmTD-Kt&||vx^IdKz`y*v{q^y4V_x|)RYr^@7 z)*nfo98I}xHY#!#OM zVOXpAhJ=MQCRS)UPY5#5ESg#{%TmJ_r0-wyzitwHroZm1T#v5u=9fSH)4%-7-*;q= z!HjiI(>(t9#@NenwOA_cTRtT(4Cpqd#ClWhj#s^JN5foREhkqM3B1rEt>HAJJ0%xpM%b zkY1799z)=tn1%!C^)v@7vp$JCSx$HH^OeyA*SYgY^xsc)8}d`;nSVFLT?3g?R}w?H zSpC6OPW|a`{_^)}H=Ja(@^Yl#WmQJZq(ENlK7#C|%Re=u|Ct{)cakqfAX{1Np`goTeDi56H7aIyaJ#Ro7~a-|AWc(5J0+(HsE0 zC@$y6oDOPGWN-zks0-*?krPDeSW6VVE6vSo0c(0S)*{sp08SsShaeYeEwBDx=HBI3 zmNmN*x>aRkI=X3z84?Vl6*_g#mg{E4`*9HihAsXAn4rka$jmqy8Icu_ohQ!#8MzTc zv=La13kxi(+SRnLz_Q&oES-nt-E zb@$mj^ZV9X-}|-J?{~=3?SmZZOPz;6bqPJsB%*d92bQ6>k$u;gA#w#!UxkJ|s)`}S zP#2z?O!7T0)Aj;|~dHT?iQ-(QfOZ0$}dvI+2s6gQaC)T@kBTlE-`ZwKLvq)0z=7^1`hqIC- zj&BpU$I5(t7XHcR$x=rt^H^4!BPQC$a#c3D;I(RQ(boA}K3Z_z6y~7UU5TwKrsakx zt;JD5F!>9PToUIZcr$bWC)3~-TOz_P4JMkeYd$xZDa}M39W%b}bN||6-P%+qBGC&+ zISEV-#FBPWonIH{^MA?cyH}v6pXL+i;iht-VZiZ)}%_C>R+#<+I;=v5T z5)qfaBJJMMJK!$$Tr<^CE%}S+YCK2@wC7xLZHsI{3<1)Wm4f)9JkpA6P1cZ`ioT^ou{ybGt5=P2M8k)#4kYH@2gq}^RJ zsj>{jmE1ehC6PT$nG&n2s7~fF=K}X)x8AjaGPe^dphI1?1Rsg?pi{(Ls_~lYU0OEB z+ew7%Pb}CxsBTBt{+1qivx<@~p(8xx7Vx>sisQ7go~#xff&#@wYs@~M75ZA&7)GRY z2qwS_r#CvKfOs{-w#KRlliX0?>on22f&d9?dy66bt@V4Y8eYzglggEQvJ zRE{$VCk`h8-%w>%d}D8LqR7l=b$j}OX4y%9W#8Cghg;Rxencr0y;D{&fI?91TrP#udo2%}wyF8UJE6LmAx(G8N-6Ho~-loMn zX4e91jIt~K7`r$NVeBhto~Zjn3;FiTHoAz23^$4^f}ex z1tcY`^Zocv7vZE;{P_DVL^$di*r2OqLCN{>dKY6xYBD0ZPCqNtoL6p>Pu8+A>i;IJ zWVOec>sjBOtB-O_B-0Phm^Gh&{QaN&>9v`DeEjkEw`s3Ze;Tq{j_Gs$lOG)OX5i() z=V!v*=%o51O|CY4l2~Va1l|4PB0f1*SjEeC(~q`w*I-h}%Ok{1KL5!NSWVMUP8G(% zW%$JPktQvE{A*)oUP5{dE5}yzCqHN_HedfexnS;1{&1i}-e6hg z{ebXu!35AR)LZfPK?h9=Cu5h2G>|ZfpNx6;eiYBV)NMs%DtDQlB*%h_@gjUKF81 zR2OPUNO|TW+{g9?OT9!$Qf@>9A7jM~$j!cy5Z{kIwJ&)zSk*PDF|trSY7XbI2zMsJ ze^lBRBzQ9kj~gR+P!0Ypzhl2JsOFtjatHI=?hCE(pgSodC1b)9w2;t!xelVahcC+mb(-=Z_z@;tP|8J(uy) zB6C~63SwUJ56FYT!!p=Q^Fpv7BK~rHK}5K75z{*Fhqd>xH;4r9MuPjWSv*I9L-}|7Y$uJ zw%INtE@5*aJG8Z{-~Xt9)YLp|%zf1!vQqd$UaRlTH}w;abUu$i468nx7drOj)#flr z(h(-rDLtenufqg`rfUwx6V85-T<-R<+ERmQP=H_c7ihr3F0Boc2K+C zP;WqVX%&pXhY%EZBZ089vPxkZ#yJ#?ic&ORZ{9F_#P=#IJJAb>q2+fbuj_01{)dg3 z@67%CA3ihwb7J#f{zY;{b#$GQpma0clJc6a1KDW>zjGw-^U`R#`WZ#;nsgE`sluCLD{x;~e)tN<^GUL5(^iry8j{&a7Qezl z7pLtL*>X!_84^TyOzqyMUJ#1SmQKbbe)J0G#utRn65~I6DznMXtuBzFqg$|mwBy-6 z-FB3MVy)|E~>7cD<@sTLqaFKuRN7LPz%e{-r%OSmG7(G-u4L- zWdY{JsuHZp9Ut75~UauDwt=oqXDf{hO9h&R+2VJwU?0tXt4j4_3sBB9T6s z)t2|ligck=nUF#rp=PNlb3vXs#m&c=^NM$4qrmiBW6p>^W<02*vx2ZHmy%BQ3$v~* zlIJ0~6UxLPSERPmz1`l5s@#>>zFO!K{Yahk;b__?Zqw^EQAM=$F`6EV9#DmA{0HB9 zanVyxm|W$23zM+0Z#P!ml_l4LHI^N#XgaK4E??2OvSPxt_8q6=p5_Qkl?1DuHY4Lv#@ewoYm-6R2FB8u`xG@yU_~wo4ShWLG*)B-ixifSkbCtGtKO-qF;81! zN>yayo`~-woA;ga1bf~M24NxEr=<~c%~T$)9rhWP7T<_Vag(W-D5Q#gt7Bqs z&}CLe!oYc|$Vy^WxJ}nKDmqQetByr_z@n{F64llfSdO+Uir(fP;Wz#E$w(OWYbjh7 zSdR7Zs1i-cag;2F-ibE!77~QIK=Tai;T^jK?*`*#9gX+6}~GW5p1O`oyP;Qgu- z#PYr;Q4N_=s5~XN>5*)pS|w73u{u6lFI&gEDWg56J$Cr0Tz zNr)X&*%N{)5hEZmqwrmFmynV|@D*}-a8eaPm)D^i;Na|uvu@x@Xy2PEzpce{oi*!gOV`bk_q=WxTFMs}y@EjMxphd3 zovQHxE|N&Gj9!#?l%}kKcbV*D>( zrU)2p95QrQZ$;|7SmMUfl~?2jGR}4NCfl?o#-_>07Rz15NEI z-eKFtm+L znT&H+X$Y>o!t7_1*i~~rqFbTF+FFd{{Vu%*R-{G}LE80@0lJ&Kn1~5oEk=bRVvJ+H zSu@CTGzZ&r(%$1gW1BVSjI*pM>>(FrQ=c%zz(kGGCYj;RGL24b?#=lp-_)LJ1HQiM zzo6F;G|!hvaNAU(P`2S`|RqRJz4#qXsT2} zKosbL*Zy{*RC}X@W6BVq4@rn2A+jYHf6RKS&mYc7>;@8IO4d`wM-uVd z>0R2}v^!Up`hv4&qSD$%xlh@>&2xwKQ^!6H>FcURj!P(NAk2O$z_iDZI0iec+7h_KoOs2Va%~QWIb-SVro&}yI65zK@c*kLz+U`I%_YaJEl!A zl|1BHr%r&1BV8%0-#AzKAwS<)cS&*ZK4M%10b|((H^CSR`Ka&=hjMgc_R{Wnmli({ z38&0^|K(`Q#Ix0k`I+?kt6eujc)IM!zSnmseQ| zFh2QAkB!-m+>5WN^vS>sy(U)6C_{fT{HsW8D9Souro(iI2{NS%mgE*%Yr-?V|6?S> z2BYjS`(SN)CVG+34D?Cpr~e^2%t3|&2wK1Y-FMl~E%!|4t9kmLS7gnQ&aY46zRt-j z@-<2<>+2GS9xD=YitMucQZ*%OtH#l*eE&uEvYa8+&n2Z@7(QP@0$tZK1?vBE z2+>J6nN($)e?6l5(eRu<%LVUOmbs~f0c{YlMjIpDnf`(jT8MqEkO?(e^Cfz?NF7*& zPU*hPK2paA_7h*HwB@1~IH2cmS;vGmdud=V%@-e4@_Q8@CG}2DT2yaU$C9tVb~|t6 ze@NulCTZPrEBcu!?{O&xVSC@)UBQZ*Cwi&1*LhY7mIT*^|2GsMfdcpVn&p12mGI$m zqZONmZTL{?V%u|*`jIvJVGVb7|Kr{WzcZ zObbG)A*~%nwnvnZ2zBB2iG3libH7Szy7UHK2aA*U7PdO z`iYR-Id-)zK~p&%4uw1)?KAUp;@R2e@p7;fdVoSAR6nI?&^@J2&D-mKr z;RTZ+^NGMcfg{L4a(x@dyh96(122!$w^Us{GoG?S8)?l%++W#zfmv~&JF6t2Qk&ED zM(8)pay_PnQ6%eI3F{!tB4}Y~4E`psbs;`8zt_G0opnZ|Lf)jtt2nTt6-nx0qM=<( z`sDi0CxQ0yDL>)kKkr4MC5VmQMeDWM|29;Xx58XTUOh*0@E#i0(H+0c&)HsTs?6JJ zoep^-njfv)#0q#l>#ah9E9`~A4?EK4I26}i1@vQBc@8TjX8Op;wk)qyO?JjcKqX9U zsTZ-rj!^0(GB#-;Z#PI-p3nedZk#ZQ>q8>O7N)e=_!qzUu>pDvJ{m7|$9N__Xk5{= z3gsg5Ac)He3DzHcZV#MBkEq1PcqdyCTbif5ek_=gMit}L4iYcL@VV!P$WNKDKx>`D z+ty3;S7X4GZEbV)BqgAZH*tmN@<&F=ZZe5StNF6BZK<|NN&dU#0_L4uYFJ~u%pr2%Nf6ZTJxsQ7ZlPDHcN-eCPnYXjnkHzxP(~dr*`W<4r&@vVAvI}(6d=^Y^i7-^l)BWNGCW={r&8H9cIV+N>VZxU7l zE-!4pmm|K8Rl9+z{B+7W!I)d|U{mFbFx@ohpjln%BA&9h`DVG_s5z(THYr0-u_E1u zTuRL`I>`Ur3qHQ)Ts`)PEXF>PO{4Z6_X=HlnRL>Fgpz-bwPuG&wX8m3x)H51Rb#Sy zm*0g$KGxi`({k8%tkyjvr@YTS(oMWwzc}0cYdx8tOzP=oqmTpFIf462^~ZQnKrhu^ z7bDLfpFa4kJlI6{WlX?ak)aM_%XF*=L&H3u2LA>K-W*7_bRqJ5NhaY9&mRS!FN?g% zu%!|wM)A*t7|cRhb1q$yibmFu%X}>WFN6t)$+TDq&Fm+m?J}+19kgqI%^qhXuP&)2 zL3Vssg+?J&FS}N7oP=>vly=y2$No)j^K~FBV!;!tjy!LQad1&DQ8@)=<@K(3vScDu zvGHrHYPvnt<2mPTzJ|){tgs`C1vnE#_9P>UEnc?qSZsGmy(j9m`-#=GvOiL=yJNgA6OF!=IdBO$75Ywe@V3}F0mctNw)W_;N$p)YZ4cQ|!QxxhS8(uHV^6Rlqm@1}y5FKuZ+SUgV}3qW#Qhq}KB2np$85yM?J+xv z0O-ui;OygkR}AHbVnpq<8ORx%Iq?fU-4f}DPNtLzbaiW zVrP;4<6?Tst=$Sd&klG!GllWJxyUivg-U72a%CFN3>>vmXZ|b#c_gNR{ zOA1q9fpLxsy*On2@FZh2WXx2IHU3rp^A{C_gEL`}xX>329*TaShdT<5RBwupdqrqt z<+P863xdRRjBxZ=cKVDx7jMl5m$JEPa~g$#?-|jUCGN9qdG%WNj_%A6E9)XMnH%xw z=^VVEC03UCZsPbxG9k`+vHm2E$3?|Eo*m6tdj|97v^#~0By&6~v_mxWjH73;uis`? zx$YaTiUqVH53Bv0m&bjfoqUbcWc_%dqj2){_O%Vk{@L8lts|q78m@({x4{CfY zQ-n3rpHu1#UH67;s8A7U=nIk0s+$tt*khi4J$lX+nEb`mJiET*IJWWGU;5}X`s{cv z9XPi3IY}sU`t|3x=n>7Ks)Umxz@(r=I0K)!@Q9DNJTdq1S=)5xx;l0bPEWl&^-Ilb zC#+5B=4uj0yJudXNRCBvi_e=w&Lcy5Br4^{NH?*2--m8Tq#Y&b)Z|jg= zQ=*AU$IO>|rmCaRA|!0ys=6M3n;6*#QbS#i?aDQMN6$7@@m<>s3LbPUM{*PIqCE%_ zbysBV65D1_Lt{wC7g0u znOLu|yndiA2YbW2qJN5mi`9o7q#eP&&EdAIAujqf4nd}%;%dt4IL|x!cN6EDv_tVS z!8!jn*4PUgnqd+cX zg+FI9<^N_cv zjIBSgvMgkF`RYs(WlIRaw%OK7Ud}*HLS%@b4WlySEWurUrm(}D@WtFtgM+xO)?suD`S?ny^Er|a=LeEv z9tasb&zaoiB+s6LhQhqrZH{Ce7i9gH^hGv#%L5*KsE;^YTT=iZ6{7!x8lhJ|to%1H zR2r;;#D~oIYJf396vJ&^3m2@pzFOE{?gd(K7)R&2+A6d;bAvHvL~KswH^NQE{1@RR z#@?y524oZ!mVs@#8`cTe!96*&NF^ z!Ks+$2n|MHFy4tLmNRD|^ogtaOzc*TWi?382eD~3Gr`S3Z@F@v>v+T>-6 zLxzsWb*33H6VT~EjK(p)lMttYGd?31gyeFk9mhdCCZssna4%gqc{8>n(j=0`GyW%x zk0EGO?g1r|bZebqW!oqk2SweWc^rf;hvyXin`U&7zp(q*?Xo&kmu4Fc{El<~z9KtG zK$<#63A$*4$O;`&r2Mk!@uI9wvA{jE39yHk)IQny9AT}BS?z&K5|v*@F|mGh0`1pj zyfo$Eh%p- zxi^G*FH|x^5(aF@kCd8gNlNlQ`UXL_+^C_bq!YygusNHj_g~b#Or0>aq-_G0k}}aZ ztcLfgCp1QjZahs)=Mh@q5mOtfd9}464&s`Zs)f1RFg4kALJULvz*^@8WB}ykUZ)$O zpKyFD=mrz_6oush39AxjAv zdr3M(kJI-$FV-neV(kH^x?CBpU_2d_C7@K_R)T%&oEGWn{U0^vW;adiSxIj(ZHRbP zwIQx6E3SC|N996d-(^MPw97jxjo-3Gqp0Q+91&mFGNhp<0;xZT(WvP3EzDLGp^nT< zDRdy{zfx^Z%!pK2aeDuQ0wV%-z|`u3N_8}eSS5!NH{lFQ6*JQ3yme(%bzNiz^f%$DPxbrO$r%g zIyKjMnGgBzK0&2PUdh6|Jkw{q;wxn*ddeWDPIrV-&M>*4{F~|}afyhN)A{zrUr?v2 z8}(2hy)dhF+BB@_s>lf-iyC?NF8`29)#JwelvaG2 zVk=RkQVXS&hUlCVQTHDjuIhh%UTL%(lhe!9up~(LJZ2s`vh*mla8Xn*w9SGvMHV$m zBi4X`?0h*Xsz>&jrOGqGp2|00(jdh(WsTXzD#G*E>6fo7B}`{Gg==}+ePub4*_7KZ zp0&PY9VrK zFKRR@YDoMbyu+H2ZG=Tpbaqal`18nUNQ$@qL(L?P(-4>ZXa^7FxHo(%5)`|E z0znRR2u;IBenG+4A9K~gv45-m+|-AvUfkYH*!kzbfW1M^d*BV7JT~2F&4UwF>&>Zln(__TMET6q2RZ$t86H9v6}~bRaX3Nrm466zxQr^8 z=s@KVVr7F}_pOSXQVhvNLqKCq0r`JM^&CaIFTns)>5lftEW1)3IC~hfg(6H6im1SAH@PX)G^OfW0mPYdkzZ$-?p8iy zP$nvHKzh?{382^A^s3~hSLswDI&xO_D>DEUmRwCRL>Lza=7pi zvN65|RW+xGO2cMhG>kxz^pXFbnXb28A#C@DbZaHzxxdK<1Vb9CURMUE^!HzA{H3%e zHWqd^1FBm*(~>gQrlKWJ0n8Z2~~77af$pPIUQ#L5ry4bMs`ZQ20c(Y_ztVu zk(nqxr5RsDaGuo;N4+Wrg!X0atJs-1-5K)emFmz4p0JnHj`frb?xKdgVGcPxZ@H|a z0kmBe+MR+%(Ql7TKWRx`Odjx;>uj{a!Pzfeqs)dLd%UO2*EkUJB+u@=Tmvw`8_nP6 zh0dHYlI>A_j}4Vd%wKA>B(Xs|;m`Cg+t|W(sA@Y>y>V^65oX%9CM&r6pqj;u=vms}cz|Y` zk=hsnJBLxx9tGCcd1S~qkj0fy3o}UbM2FvQe_}^_TyMG{AyO32ddsL#CV7AF+aIj) zcx>dnNz;uu^7GC7(Iha|x^Cls<|*3)BN$Tgpt2u!%*0dq1B*8o>OtK2>)({=bCdPh zf&}1d>#Oz|l~Y@7w5r3lWGgSy^Norylsh*hYIB0ZF~p>KkjAs5x0F4Dy7;ov$1|@p z84qDB7lV@UnRHaub7tmwek)HWLt)zNe8@Pv@QS|1^tMe^_&a0PaBvF~xtc^$WZz*v zXxm}_8NcJpiMi{_^F_A4T0>+8!K8=>k0gqZ{Gbr} zP~CG;W4aTsy$kdG50DCngZ%XVi!yu1w;rBUhGc^i%@Kw@6sB0F+Q$imw3`(3D*o+J zvNstt@%4kZ{Wwu&{Q{|z{Hr{PW$DpUyo>TKeXgsM{DKB=8lFMWO9eKLaq@Z9S}{%l zK@jpGCoir92xj;vj$b%$ZTH!s!WmJxsUzMt`!S?naPu8tkwQHD^#d$+AXd2Q*HOdW=%&JTwSA7f{990kS_4d*R-HXJevzq)lh1Qk_wy${wd><)I_^+0 z1LE&oXRhp*Wpzyd8YcaRHK-WE-etv}2cYaHKgfUlAJ0j&a_CCg>xrQ%-Uz|x{(~}$ zLpRRNdpYBvveHI-G+_uFm79#&pr~2fOVqwcd_bUND0nEDPJCsWiBDzwz@)HLc+@puzu4-E2ZL^{beqNZ51nR}xD7+LH>rY&Y?+8&ctYf^)6y0cXhQ8sPUCS{a_;&9@#+H%@;RnzY$ zHMdw}PvR6UtRz0&m6wb_Wo)jhjfn!EEGD{CWI=1QlL}!pLhNQ26VfR#V}&b*4KaI}%Ucw@sjrO!2ayeq;;X_G84{L4 z?;%I&>&*OKN04O+V&DU5ypRr3c{#bqZd{v-bAoylx=T4$mAKg%{$Kj!6FQn$?e&bE z579+QeT`Y;WV$B0V0G>a6|ATL8vBlpo{J@Ulb_YWR()v@#RAhgwot7cp0|WyrLVV! zQ%SoukME(!F!?C7JxXp%Mu_<4>`qW z=`&+RyNr^=QfA z{TCQ!Z{-YO1q!>tv+vBn{QF#33XzQNs^^@=bR3w?2X*@{{j`*X-WzJQPv->4i+*R{ z)eu9~R9!x7+wtI#JA^nC_4A;UUoS)J2;IgEl8B>QnRPaN7fzCIIb7!#X> z&_%Jcq92bFBn%j7#S4f|Z>d>tPLe6ILssiVgTi}6Gsi1}mbxM2KFaJ$4;#vZ(KmFl zg1)e4v_MK^WIJNq7|Ll|a&L{{NsKrpgp@hf8a=z=g_7^DY}ZOq9}6jms;3I#>eAfj zLFphQiC9GpELo7^QlCVI67ZauG{h?o(4QC54h3YHx=pX?ImgD9AuU!Qu)v|SWUn{v z;V1HyW1>my6+vD-Y*iO>u!Ofmw$npaC}ZnWRm2uf3dAPb@ilXw@Gr$Z#L_F zsoH~^DPjNqcZ*?wp6mBtuqR_)<#Zf6OA^9aw<0rYNh~I!LUS%!$S_-XitMe-WokC3 zHkr*mLgaX)ytx+;O*LZccF41?A9$Gdcn2NIqUR<{^%e!QdMomwyqol`+=Dvt3W=N` ziWaiRdOoUo<3;`mRACY<4S;y6XkC^0PIfMYl6NiN4wh;&nfB86U$lAF&(e+byZ67_ z$kagBwj{jMn%KPR#IQ@vw)5Qbl$VD{cL}#L1C0R&kC=&k#viF2k|0_sM94*kF)PeliW$TX+dRGy24K-Am zW0BDticS7U$ZJ|tzYc%es2DwMD2_RoW7`;m*ZpIN7z6LKYpM$C;V)}3YNLCOnE z?L)w`BcE)Krzdj;g%5!)hO%X zl1S#5*S3?)DT6Ns8u3K|Lo!2KHWQ+Y-CNt$vp;*|8Ah@>R1JAWa1L%Hgw*(_J@(4{ zh%5fXQ-BrCbUcZW=gn8oD!Whj<@?|1fg>#6Vf;rd?4r>mkE`;?ZJ7Dmv7Z>iBe;+X z?ZEQF0J~+CF`i`fR7MrfCf9YZRs8)Ewh6A+>q;hB=#jeR23c{|Hr@HmH(_~UiJ{3O zhl*qi?Mb$v&nA!`NbfvZyOgh$IEU{Q>WGvuzycLJx7ou!ySlG9XX*2GwAIHZ9mR8R zb45cgMg54eRj1n42-*CA5O$KynPlU$@m3YkpVef5^4amA%AMp%CV5opPMb~9@$FiI zXPMK(LZWhd(+0OyR&^J5$x>eUH>yS?n}fZI;E2q#IdUysFsMVgAJMlnG$xdLx+#(* z>2vzioZgsIfEs4?f{Z?QF*;)~&FJ4|JPE*xE}-ubi9}@!A7oPjfU{1M&{A%tRL*I? z#_nj-t^1ast2g6Vb-P2M9bv?(Y|~y%l4WL7ZrFm|mN%m|pO~ap?B8XJRklc|pI;yFUY2?jgfZ8{U?}TwWB#B+NeX=fx$~>0UrIGlV6LOg88cUD-If}t!X8sr<=@`s`uqGYu0>T zI^{>>6d@n9^`Z^i33;%=c$Mc(Y)R$)-3V`@MI%1f zK2uzlqROp3J3*r=?kaslh0;G+`-}j1N{rURO5khiOoZ`!pJ)f5tqNn(0Zc;hB)*NW z*y4r+veIADUfDJwk{SLc0LpPh)MiKgF+Gn^y@scqGsAEd3h=T-hFYP@%Sc6j8>>I* z^eK*?y<}f<>%0uuNhA=dSN-e1^vNeDjIII`T#*qiL&jEs=08^Y!V3;V2KX##u0q zOwDeI*?MK0r?cs~p^teuHW@Wf{woRaap=g8IS?nuCv!)>u9Zv}EAn;)rsF8gV;%;CN?e;u!YG%nLg%D;bh$P$93d3GuEDA%Rk#n3t6#AKy?eI;ieN!yVoOVEGTua}`>2sv*UUfBD1b8zs^PA}pH(at*Fl>f zV|Qx#iv=X}*{Dw9##Y`^0kyU$R@%Z_ZGJc)&m-e1N@8-`;c%gK_QOK!Q*9{mZ!34H zc$N^6!aULEuUw_j(G{9NB}T3S#`lQy?qOENUSqBV{0>5FN>P=(n{rAla1jA-PysXBD|B zSkYlj*Uzh#%`R#Owp^lki&oe5Jtyp^o=DFGj+zPlxyocVKa)y%jOj=3-sd`Xod6hd7R%+>u3 z5Sdyu<90w3swke1gMbNiAxaV^YX#+vve=PWyaMN4AhC1ANSeCuEy zO&WsDCs9#1FJ>g~sgu~~+-P%brtV7MzNFPrxkD5omJsb?i|yUL=`RUMlnl%-4!V&M zeKjeLD`JS*XJfn?@mCY$i4>eb0}Q~#_^02PF+LM2oWMnLFFJrX;mvQP^|F5O8u z7sUENw&zt#y`2&D3cyW|SBeabRpMm?g9gl^dzaSq9L2Vu1kQtxdPqP3Yz8*uCdCne z@S&7^S3bGYl>1n96WTLB6PZXtX-eX%6NZN6owHk?@-5C@6R`6>GqxwLua7HcbIRMp zM6sf?uCskrGAZUCx+SJp9+a}P3MV_}QcDAo@V|};MnG4U&rn`(y1bQWZ3*13#hm_6 z0z|iUM+OW_QJEV~5(We)*3gUA@yfvY+>(=b1T(pEj-w;}%LzZsujrAh)b)G*Fv1iaMZy<;2l9_!|>DLT#fMv|Cr5(2C zVtAq1pWPRPoYU6arFpH`gc-A`vw!OsKKUej&J`RDBUvg!%xBhf)n+Ov^LhM35?W=} zn*78X^63XK!lq!b5tY{q$+okK;#Y!Su=3qkDtWdw=t)bCQY%_T-Yem}v6(DcCDAL3 z3YkVQVbR@jP!1q#WmBTC(t7e-)BjDUl@DO@?EN zV@hyeTNrZElZ0BP zbhT3&$bRxlcuK-aGAK(4hAbRFQfJz@i8huR8(0=55+$UK8R`vlkI)zJ9o%uGVpwn3 zsE5-e%3@pPN3A9DkCRN&NbTaF9| zV8`zc-+R3^vD7?)r={iAlFE zeJ2?u_`0cFmBf?o@6c&znndg%DSN~uY%o|eO(AA@Vg?3-!_uJB#FNtaeZ{%Hj5ugw zacoJg6tF|T~r+^wy)D;lIvtbzY$U37$w@r37fz6vEDyDUY<|N)^?fP6Fni31f|Rf=WLv<{k70@Q9BbeP%9>+-sz~Ri zqFV$p2h(={PeYwFl2-APcNS5lExJzs8gh8l!^V7!g z0;?xmN^9&C(hfGY*M2uq6=UuF@i*uhiX}g9yR6(?`-^wk^)XtoCL9{}j=U+|z$ldD zyI3Vk0^9b1-YO5T&?Strl6ML6ciYL6LARKa08!;0`!xmF4^=}%HR2jUZ4$;dQbx0n z7t;A&6eArUun*~2hFf8_gG32|)G&=*Q*_vyBz6>g1_|i9ZJM9E-uybvn~XrqiR~pS zq~848di1a3CW#;U#s%%xa$8EGdZJ+M3Uvv+W|)w^iB`B;8bHf9<`^GxSAI2ldwV2s zku5jI4jJvI;shw`I!WM!fw9iA&EX>N_fDX%p6NJbT(J>M`Rcw+4~((2)de>W*hYKk z&;u({5bzE>lF!4)Ku3fc749?nDvT3DJmf9{)P{YyU>nIdp;32yz}+)+R8ljW<41{c zNe}z3yh6Ju7Q-UXF}9qVP$u)#3iV@ql?!x-KU^CJuuH{|f>e>&Di8#RqFpzz4aR(M znwWeXc!BXh{}RsY6`xu(@L&JO1Ngs7ozp4dBar|ZxUsFxrYb5j!F<{f^X@s5SZ#89 zmIA42z7}64_sJ4GP4j>`k29+dhR)1)Dlm8YJlTV{`L=6B0h(2DrJd5PfJn?GsUuax zmzDt!(Abpc@%Ln}9NilHpJtYB^A{{OEn)$G2?T8M*W#WnSu zmDN$E7LC0>si%-=i;=bUKF9L9-DfAo|8$+p?W3#qSWMOmPT<>oysEQ{Nq`=8HXL~b zCUq4Nk})PJOSTc&_mwee$^n9ZKuz?CFGtM1LwY`61$Fga#9iMU;s1ltl!Ty-gbcm# zj)*>pOTBZS7xFrY-1`A$QcFpQ`cDW)Ob^l${ZJwz>mf5W^-TY9b0Zo17EBiz;Z#Qi z%N|%V;e`tk9cDWbP2XnCS80p!d2+No5DZ9qEAVY~CzI{NfjJ0BMggv%K+=^6 z6JM1-9^1p{8BsUGQH(E`kb%S#sweA~BS{L)Tgvuh2g_JUZG0MF$A@)i!NqwpQ6tq!) zl;#=|GoeaLLcX@{wwDj|6xQN&A{L?jJi>A&Mk3&wCGo#SboTblHInXl^9g<08pDLH zTT97}M{6A;2`%zmQ6wgF(yZ+`Dp1^u}yNH?obNAvqM!|D52%+(8rfwka4IDu__W}OdJR_1T#00JhJ z@77eN8vrI7Oyq)kqvR7 zC^Hp)-}gQ2^Vhr(=#|v!GIm~PgS!4}MO65PL>1TDvfS2Lph0-8xy*pCIXS^0E*bAs z)1zP?>V-qGqTSSF|BF0AC~C7C-H_Xr*f1Jl55bG`A7kE44Z_WgSGosR4X@>txAMBW zVDadQF%|oSB~j`<_~yfkjI5T0pDxSQ6}Zsh8~L8>&l<)cRS%c?_17lqsWZBB@~ zp1p0kfQ(mCeN!{T-Kv{ZA%Ro`%)<=zxRUrC6NBRIR~l-QE@-~Nj^f(#j!f%tH3#XM z*AL|(#X{fL;@8l-)43udP- zOM=8o>=$_2t@;(z5;6 zfnHSJH}Q1L{MB#WMg(XFJQWzA@h>KXdp6%;UG*Fs2wXvbJ-4Y$KM~qCK?%@QbmC7d z?(u;ig$(6JR@>A0&DXm+f3gHYh#(SKgOPs{Y;(n*Mf8wCg6~GYrzGfi+?OnnNbgw1 z&npAM7`r!>J?XPAs#Y#Fp@L*ks%HgH&{Gp+7rwQDWtD_{Z-B=z&TIljD}X`UDnfs`toBXBN}BS4zC1R zRd%$jT{22R9q~3-83UW=Y1KEzF4m-Ex4JL2s;y+m?YJ)5_}}ZFe9v856YI9lF+ZoW zLJ@Se!QAO!N~$|TcAMSVa>;Z!{N>ftzkHJ0^?w=S_M<>d3A@K`+b}d*hI^G-o36#y zd7F!4Zk=N`++Z`65`pkHH7 znAP!@#JA9d)fnFfH&*)i#Aa3Yjv1qsNoa-%zwu^PGAO|deA7q2Lnj%ocy&e6 zu`xuYpqmU_Lb@JNGN0XGnn(522zjIuC;UUwoTv#G3*l=4P@h`opmWn@^7VvUiPmuu z_t8teIF#;jYn~fov|zD72br4}B{nJo6&T-{7oY|l4y5?TJa!8kw!a>EleBfHZ##|| zus3`G<01%)utYggBHiMy?$C2>87bk7bzXul$_j^tceMx89BF!YW*>B+`Vx%3*RFG8 zpzTLyScL`U)ymCyBN7UG+jBRv)?ZY}g}P95xi$&H0($meA1%a@~R=yd1^ zUZSSrD2gpJn{#g*d!z07^5wMNlE}uS z9f_WM~ta0X=%O5pr-Pe8CFU`I}5aY^VD&z8jk*lw4N`6hk$j^QVa&x~~>v)q!+ILMQM z+#5T(mJec%t)jne9qGwD-kgNozR#p=!;vu_GR;ZIo#}CLL$vN(3MI(YiLcHuk}sIC zkfTE=qz}eqw)v(pU#BfGfu8fN@Q!@PtPhMCC9F`nebN#g2`w08hU{3QOtK}H*su!< z0}^3FjD5VK59j0ri^86dm)V5{YRsNkeQ=`Oja?YCSxI5!pl^qYsaWNW4Y{TqMvHYJ zS9iG=*W#`yGKC@|8GUuuyh4}MvjC~g4xN6r=5NJ8{#KRK!%e*F+=N) zVv|B@l;#bu5KYJSQ#TbfVA8o95=o7D{P6$_yBihl%Xc#sMlRjhA)VBOLVm$$2JtXs zqFA(j-I3i%52GL0eJu%)FdIgpllJ;1oy@ak2wbcBXda2(J+uh}Ar)u09&P{kH$M49 za9w0555JjePz%V5d^7x}zfp)Uo4UHF$0B2&k*aM^r&r8N3FbBdxiE1CTvvR4qe~xm zXO8PIB)8_dHdPn=P8^4^rKn%fts>9ZRaM(;=mVClxP=WdwM``1@?qpZ$?Yqh*yLIe zo3F^5%gNh!b#;|EQ*IiOLm_aC!lD%?$^bKdk8+}g*>u{P3L`+apbfz$*rSq#ma|BPk6Fl%OMVu`mD}1t^cZISh2(S*#r2Gbbs8|!Juscc+ zm0WJfWrSQC$XQ;_)-GM7)CDr8nUgtYY^?vke{2kR(5TUKR$6F)+H&Rp-`nA@)Yy@6 z<^WMZuD_tZ#iyzDJ!km#d#-WG$>Yt&#^?Nm0z9U3Yolu>`S7_f`S6QV69|)h_sw!6o>ABjZ#r52@`CBYHWqvYA;6Oh}EQ)5^UDL*DtGD?^ zL8vx{w4+atSfZY@Gc>KbwCX?Lm-@qG;X}5&%GQffcREa|Q!#3aCBi z#_4)SS;{vl3a^^FNuRL}WT#w!Pv~n@lE}FfuO_3e&Lm;wLnxCRv*y?}eXn4MC%X;W zgIH}_Dm_+)IAhmY?^db*~%F#A>UB%qR4o`*MCaWYycdbxecph3b8;~7bx)3iyg zL!Py%)ZWnb7!%B9L94v~VSU68Y101_10vfhABlJ3@G3E8vWf1wU7M~JxVho|1`E}u zIt{pL62qT$H38YbYoUV z!)9d@{vqLKSi$$Vr^kGrHzTEO)KNk*~-3?v3~Re_vEFtu1$|XIfhr zTNnT*>?q|rf7(D2@r@F;YT6TMckz(yC+ir8Hp5OmqET=Pci~sGL`cYQxm;0l#B7GZi%gJmxz1qd%dz5*U zgh-fR`sszvP$xdns8>|=*d_EcmlTVRV8Svy;*g)ev`F{EBBxh!A7x^{$9W_#?CX~f zAIx>@3h+>-qX4r4^L%`g4XU}THU~cQlclO^8Lc|m{joMCKsb)8H;J$&-A>eOE6iL9 z5lT@vySzc)<-1h7n{3c!&_@aqyY^QruHNyFb&(e0x0^S!G90mFsD^X;TE2Qs%7`bjl#&VK?F~&i< z83_aGA*B$UJ66bTgW>B?DjXg+#{%cWBpAdcR+unNfc-`-v;}g2PJFiy>wp;Fj{~Cb z)0GYPcrBV9s_JS2;>tLG5z<-|^+gpq5&@}k%yIe8y!)#Rs24$QWW ztV5GHyYN(OgQ23Wv1d2eGVJT>VnhvG3QF zIp*6f&dme|V;a(h<$Su$8coTC9_zV0lnQZGp!)wBCY{5WJfrKcB@10tQ4cnBmYPfi@N@&Bq#%T@UPn@lx`Xb(&T665XuGUPb^f5?*5xbjO zCjAQ9lVI8&O0M#be$DHf8`bfh>a^Ze>NtZU5S?1-3BB3cm6lV|0U%{E>FkG z59}V437RL9pMyhtaY?%)4(Np%VUD+~*R${DzWAnnf~Nt4u-ELxMCljJvEh$19{vB- zn}gK4JQ_I5i-{Pc-QdbKBgTE_rL3 zOobo2K#`@_S7>3hX`BZ=b`%0=&=~ce^01S9ps}1K{d!_bcNA4I1e$B`#F)j<;2HsjAbOS6&l+d|_69-0O3^UZH3VFqfUgQK#2;sxEwc zNlW9z7~iV^)bbY`_H-$rB1wlLCE8_;Eu)~dAU+Z4A>aB<`Pr8SqwmN|e50;5N9`qV zO@F6*#aNQ~aY=-0c2W|$_sDB?uZv`UyRIkg%s&69vv=Md3`3XFJg2 z(dEfHV=$3|WSeFMS?#y`%xI}Z5sFNH9h>CCrJ^$R4=ONX1^WI_C`J2d2(S=6Qt548 zU)PmjAXxFFiK3x}oc<0&V12ZPP$}?3Q4kIaBy_tZ`IYf2)3eV0dMeYVwNm{iwl;g# zPK*kiYl_@t=sW*|;?1Fi;%FrRb1Mh4C^1mn0B0Lg3aN-3A?`N2CPmV4l}J)sm@QU` z9B@iOJur*BBP`UIG?b*?n3S)Sg!$iP`Jg;pMUu=_$zmi6)UD7tedhHBQr2BFNhxL` zCCm)1W0MK{*A6p4bIoSSm3~JFjvzSdBbQQhTfhI|KmPT7MMKailAia`@rr=n#2yKF z`Z-p|%50ks8*Zk2b1tVTl_5S1`R_i4GnKd!*;SZRQwfYnx3|2SzWK{$bf=2gZHT2+x*U; zJ5DC>LDRKL%u1S$JnWG6J4??`q5$?EE3rVhzV21G-1EJ*hkAfQk z4w)KykdO&)29ZI+e?M#5r;&!P;q@ayMF@1(VxNLlcJlElV^p0`?i|pq$Og4Z>E4WF z1@XOW21{=k-pz*t^Y!7leKIbGN+8zIdD;rYB*bRLBiRdYT=mZ&3M7~U6_$__olfQ+ zNvWoZJj@381p_iPls^wAI?BW8PEauHl@nW`7q}GYDS<&?@TAh~&k2fR{_HpY;LrZc zzscD?h`f;Wbpb(rERW!j0Uf`-%i~078_J)BdH&+R{@XwOqaShd_9C3cEKD|}<%wbs zIRXi(aEOj_yreni5$*|In}7aa{11QeTfdG>SOy8i>Ut}Whd7^)>9I!}lL-4;wa0vI z{`7BtABj<%$m7mHSioFzE(J~~!56mU+C~En$4)8uJOAj<|K8s=1-Rem6_Frpp{`IU zVqHpvixYbWUF2Jtvw!yYe)G@%)*oJwL;f(bwOOCg_d(gqki~z zfBM^hi*_YmAlFb>Ik0RwL1+cB9jeN5eFL*6rmKsrH-G+XzxrqY;qORc;s~4L(4iJT zBt%1;NCmsBU_#!I;E;O$@b~}XH-3ecWxM3kirp1vw9pPB6hES2N$h*Zl{q9{5n2AD zU;WvC!zv3r-(i5a7n1<|99T#WVMqpL z8#RWM#-IN7e zgv0NC><3C+Y+RU}jnzo={>4B1RW#T?`-i{DPT_iV+ek=^=8MU`8fi&nJH|Eb*ila$ z(R=9_|KO*8@Ebq-{{N`DV1TiJx*^^Iv3x@MNwRM^j&B^8Xf{6 zUnfBGTWYEz{4Pn%BZU*jL_wbjl}$nZ3S*zd={RsQQNl!FpNK3S0m=6S2!qaIgP=&K zaYOXz#EP-wQfUH7<1V>FS5X5;& zPIr~QG|5oEs1j0ju*5D)91gXT4ApC6P9X#7N-pFX7pM~SRqJBJMCAKW38qz>L_=W` zi+m^cDk5NogcmZAlz6CHvdua|6hNGZUJ(8HlD=wP+h?J}XvHgZWw5id>FkwpZ>j%z zxd%q(RbttOU;KnDJ^|?+eV&g{7>gzN<8NuUgbAV?&P!EQi0>VbM+3rK(|wwn8{!_} zh;{>h`YasXr;aQc_(d-8wVdI@S&Z;70LRaaH{75X1@;l@`uau(!BbAy-ZQkUD)P-t zOaJ98Hg`ah!w#b0dq;OVA8LGYBN-B&v3Hru(;t1uOtFzkPboH8EIdrhdj@3MP3f6M8HpF()EMYpb>QkWZgRJxU1g@q}>!!cewu=W$2GayY#>~9gJB=QWmrrD+#MZwdcU!5^>88^12FG@@=;-J=l}TJ2 zto2ukRPF&66tyXdO%465CNZg#>XHD$s(}GY*GwkPj7@sZQrW2YP{1Q5uz>ZY&p9vT zw+ykp5xa$qYft$$mHSLq#B>t-uj?W)3&NdpmEn2uCV-jLp^czT$1YD=MV3cJnjd5c5locFZ8&_ zoxr~rAP_COqA;yjRo_%E3h*ZaZW~%TKRn7E+~kfQ_IP_~kn|#gQH1;0)P=GI3j+Md z-F_X#Zhj3eB3x7+%aCjpyY8Mt1^ko6>&RlzraN7$2qY z>iY3Oi0`t$IIAvn1WJhK5+2W5{!+y-cQTg{+z;m9VHGG6pt*o#$y7>SqGlXB_uD5hNY!XWVkaK-tru%oVRXf9Cyq< zdV#&Lw%pb5ARrnAJf0QY<+XPZ5|2V2PYce{%&lB4<|2}Xg#N=dLW%I_BAmt5(0<&n zyd@#w!bJZdzrU0}x$l0DCzw%0GHFxig*LhGnS%(&p2+YXHpyZwDFMN)l<;2P3yq>s zYLpBe^S(3=+{fFu;7&rY*bCjqMu>=LDk55(YnJ=0Qa;O`Je())w@#Dnj?V5pZq0CE zrcw-OGXal>sCU~})#Lpv_oIR3Jubg;5$h#9=t?h45u*&(_|LyN#Q#iOg>~eBMAyji zgARq_8_uB;SzWeE>6WRV^i}GjIx4;!Qh{!&i+1*P2G{kQyvj9tClniXo}%noX?>jU4t`$;?JJ;(njxc zEhjx!BzPG8bzjb}ioca;n>9|J&QJp%k*V$&KzK~wrEEW2#}Rx)#*3iBrR||WzuV|} z7)pOZkn-D%*A}hCD~i1;)qv`)!bSJlc%h}^R|NX=lwQ|-OVntSS!-@Ficguk=`{t7 zo5V*&T5jZy`4$e5e#2R96e%AhFX=X8^cTUDI4PqMp^27>GHo79=I&xr*i4(smz1_Ci2t1cB^TFrnf zaNcKe7LsUrOoBIE&9#KXW4u9222l+7*=$nHd~~h$1P&W`p{7FUWkBRhn8^T^nQ4wa z2t);K1mt;L(VNX`PK;6*`Uu8KHY=}d&&I)2s55EbQ>s`(NO$~V^WwD1KF2qoDm^wg zBHd9W{nY74$4dToc2#rch%N-qth(aM zN^$3$&KONac0N~AF;araOm~~H0Jl;GG?;L1hFUUqgp%G0uw=VAFotG;F||3<<>xG) z)|vfbjW>8yge1R=br^q~5GR-fOT9^t+zCuAcNat$jz0pMVA?&9CZvVg%+(A{jzj2+ z_3rf;H8{ttg{xvz>)%$`-$7>_k*x=IF>x84v%xK}z`ey53Ue}M6M>@}p;XshR#xJs zPKqagpdizL<^(#2`jKz!ITv7DVO;O`A2VD~%hkA85^si~yieb~!}M}XpY}bHxmWen zmIv6ef?`t(viKA<^;Y299IM4ymOl+xiY~}yN&o~j%9C}@wsnOK4XO&;hIiJ4vhFP; zcze50S+*@rXy046svx?3Q1rpKfZ)_w%Q|P> z`2X362#uilT=*Or8JQU?BO~%eWUSn|#6ncCTM-|Wrc}Jums?PEm1|p6w_wwaP`e9! zDn#FWJA&8`Lcg@&gAa~xj5#A_L}sqN_pwUtI(O}iImi4PbIvj69OL`uM0@IgZ`7{R z+Gzy1*L6KN%uFEv0|xB5WaQWtS;?mkXqD^SQb$V}1GOm2VA}Z>abEn$p@U<6U650OTM@3+ zwR2|b4eHea)c`_R^=CgXUoecS@BBw2&{+Kz>HZ{xZ(vdpnsM{m&Wi_J zY;P7l83>L!npXpM-C(1@8a6U|iu@6K%)lEH*}MG03=JE&65sUT_2)joi~PHRpZXa&dXZh)9gZ^m z8`+t&LK#(y+?nCJe5Y`-*x&;o6gqe7ZuI;-yVwB5t}e@)JwLjEt1&ln|K4x>B@(51 zN#@|OV@I1lSRZ%!v2WKGrDTBH!-;ZEAT%vw!d?$2D$fGbv+wk@F|Ara)wfI*wh+_- z+e=K>IyNai2H-}e*6S278RNkHTz&W4W6eEL`v4|b~~La$ARuyD$sP<{l+Z`*bv zZeK_#Ii&bR%gda?i%)ndpxx8N$(-}9r9LakGNn;l$mnxgZR`V?D#LbH(}FiWWKM!I z5|kp09ZWGNyUwo^5O6>C`m$;aHZeaQB`_#o23J3B4n}1IQ-j86&1%?@`E*OEF-G}j z!$eQQ6#m?nb4D>$0$lz83-9dVH`LMj5v$N#A_vy*hIO^z6jLJLD#?-kbT}&WHF~R4 zj{zATSipT4X& zAV|ELx$`=y&?iF_JV`^ijna$-$H|3JAm7qzWqc=-3^>|GU?SrwrB+)TrUNAxK zi46MfO#fMe?S;zAB;o&ZNVP9W4uSPQ{W|T<%<-F_5ox?WS8GIp999(we)~s>YsCV? zw>InQ;`%wfRe~9Ghg}v@y-j>gDx)Sb> zq^`k}D@b_=`}00oxp`*)$(`!?rJ21am!awKADtN;4F66#vQg3p>ikE9;{#wANV36G zo(FZziwGvIN+EXg|OJI@A9>0!W{V@;|q&x`;)D zGn3lN%NTT(^wx{cp!?$&=;+0X1N(u~k#T-UJTPbyvNf{w2_cwV&o7k`qK1g^$)14r zjEIT1WDNa^G|W@TdpJ2coC{efu?N`ud1|Osm|}p)xbxpi$@+uHhX`hB*)P-dMPJ#Z zeqD|ed`R-Z$&Ei4#TiZ#567BT9^nKf+jb?+(3ng#k?_+(3Js9sM^rWZ@g-6=)r!VZ zEgd%7LGAHW6*hms!43jlp6%ZvEYB6~@uBK*k|aKv9ij&GU)Kj19jk&!Ex%6bz% z)(8@5;G(k1OX2rClNnq#ErLF#2bV~;WJJWc0Ya|W9tJmc{=%F&azR{|r`9>RGR%+w%HO9r=JP?|REOhG_me#+m3nT~3m+fG%TZ2d$nm%)86Oftz;xo_dCxfC zWTf}bGa1UjQ7#IyhUrW`@~*{(5QIiOMIj#$aB(Mzu6gv7rr4U<5;+i&j6{jVV-Y( zXnv-NgX0$s38D}X=UkrXltGQf?|rbT)Khz_H7^8;w0)Md#eC7Gmn zm;g^;6ysIj=^M1{yd&rjqfX4v- zndXh>KoOLpLaZ@CB&Pu1>8mYOWdMqJ2huS6jJ+1`&`Z@BJ%kNmK0{h7+dpsyj+$xL z?T5wKO&T;g=^A2WK80fLhYsSR=}=w0@LDG}_$%nd9CL0?uC|6G4u;GUw({x7#fwpa z^>bFCS$AuiSVKw#oNzy3^PNsx1(~Vp7Fx}TJ>%EV{;f}Gvr4cwM+}>ZgH}EOG#sjP zZ^@bIk-?{|1tw^f3%4ugeWneIR=L>}olg#&Az~vx&izkeXnpwc7}vHdd2-x|YIB+u z03q_tiHslWt#ykl=%K8|U!6{5z;~g8e^oGL{gHhbNbP8RE==J@BM#i4LtYg?`Wz~S zCo(iFwgiVP@2mW7JQerc4cKezYR$kc@}P1!0!+q+bBqoJlK3o2SYI#~*-63~idu2S zv6C4*6|s3?y3^?k5ZY3T{h$~L9xV+o^emu-(mvm5^F2Rw+Ic~JeYmg#gm?i_Icpll zradX_JzIC$tYr6I$*ZB*bIH%Jpldj%3Wz0~RcqW;VBbD1Les83eq*;gr`=Vp0#Y&y z_rrUIAMzKJ4SyAWkvi_mM%d1nZ2&W`p2u;SjzQE7(~AnBpW zf%b~R0bmIo^1fw^Se)unhW*Hd;`Hk(?@Rc~(Li%---i_~P^${~dZopFB&1m_jrxNv z?wH@=uz~~sBVx_i8EKh&Xtq@;7|C7PSM0e|!uu=46YvYIU8JvV*U`DIJuNs@c)JeV(27kd15O63Wthwm(u;PcyoWr_x$ z=6l{Dao=uE+^+v~+KT9yp}jn?NsbZM9HY(KgnB5K6^YaZZq@9;YJE45s$Xc8zL5Dl zfAgV*1pt}?hx;wIsJ>)p*h}4Z)(-5Djf#&A7FoAL&I31zaM`^oa}>$FmDlA5cnm#P z&Bs5?oshbyV+>Zonv<)!-R0vSb?k<6YKNL(H6#`8OWL|U;AXkbSCvCYBwF6+B$OKh z*lQVMp}a+EI@!WQjo{7Zl097Ci zJIa+29RnwYyvslSz2_FV1GKrnR`t{p>4Vr=T?QS~jO%(j9MgOW1Z|idDUBSCcCodT zV@FPF-KE8~?r~t37&`a1Q$d-;!iAtXT`A47Uiki&4D!;3m9Ub%1lV;Bq*EXk~=SHoj_PZ~pJX@z9?$*^yM7?rGs&;*U?@?!GvkioYb5(%v$O3g`r| zA`_&#T&l(tLdJ1l4E?M!ywdc;;ecBtX+ppB;2aqe6KBGgndFYYsc{KETkwJ}5wA>Z z>NNWX&^sMA+UiRS_}4V|IYV782+(`ybUE@X$(CUexc35=_NaQx=bfSNJI8(RG7*8D z_+M-3WoPlD3F0CVHUpA1N=!?b$`ahlBHT)(oI`h_1%NWC)q+&6e5Iofe8Q7)ow@9W&&Zge zUt1V%*w0Qz&Bry+fA7B`1m0>+|M3^_IHJAHXu13kdi~AZ@y*=DYe}2@Na7H@IRG`H zD&ZtcJ^!3HWz`vywEr({&Tllt^r%Lx7p?RNGQjTU$bUU*h+ZPB@%jvJdVFsD#x9#J z_m}=(4Ec42%mEuZEp>2#{043VRpZEi(a~O(g!Z}k&N6xXM%Bl$9xEjE#+dM*`mq66 zM@G;QytkOlxiB%gce}lb7>(jaYcGMIUuVlz`#>5*Bfa!?XDfp zRZ7xQgzubz4U99}NgPDyGBW?o>||{KD)0i*@#?_N5TBnpWK5Pz-ZlK-44Yw|ojLya zFa)4cd-}-yM@w;$x|}KLz|+(WhGPm#->eIu6A%0>1$3K5)`ZTp^1k!XJegx3~~Vb_pHmcpfWr6CM@o_Ap5$)wFlu0h$

      Mz3Gj%>O{8X!bi=YKk{L31oTq7CJyq*6G z8DkaDj}Af-M=SFIb~X;tHDAU++iWW3)ROT*wpYvcA>M4sxUSb7ok`WTjf8A~d}>{O z{KcRCagOUwEXZPVHw{e_ht9Qd1Z3bMG7pDxRkzm2QKvZz^#5`wTFs6x@&oDhu^fN4 za3n7IyntmE&Orb|V{A8uI|EuASQ-)DO#S-ZK(;>bhlmAsByO3`oQU0G=yLuWpAc@W z|E{S^h8GC&Piog{=?}3knCaDTF8R~l7ZhMQb zbSj#q;GrvN>A_(Cj0A@628L4qmQs*PQUliIt8K&L(DsU$E6HA(4Khuh~rma$7 zX=&QS|3GE&yr&?{Bu_@aS542o6)LaUE|i*}eA z?u>u}8?z(;@KsqzH4{t1erN^y_^XCvc5ZcY7y~$0vVjGcPP6N_-n8_~3+21+-7rF& z)F~%h0WUSGlpS<#LkCR+62L>Q&(jL zZ;m=?la1UquOEM2Qw+zrK9f0KS7lA>ub(oG}j}WWMhYW zu@hPRFn8*3QMDYL*d3EbPH6QXf4KsDI9|I&@B7>O7ESqlC$OG=U{j= z@#8P?7Bu~>zHHj6cBa47ue<;`#-ECa+}^-i?oe#ACrgu5P{oh)FP7qkli=E+C=j&9 zhC|LF9(-5C+yyk1yPSjDTKmD9zNnBQywKwEVD_yZjv$UK*DXInnV-sS%S#gdpUxvN z=WzU6c#&7j>wU+iq~Y^p*kj zxK$Dp#Q5YtrL-LB+S36m-%}b?;WE@HKbp$lcf+1GWZHLLL7OtRiF$P3zTj}aMhLlx zr)3?VP~;X!1QjDr&cs1du_Ku|Tc^^HVb49WA86QUW7>f@UcRhqe1Q{Dr0W|xCtRiA z!Vs}aIoLBsta(zK7X)S3LxEeA*(VT5fL@e$w7k|C`8(nF?~DM zLcWAh=TK_uv*_Ig&IyewQc}I{XoQaK%Y0n-`73Iht6H+Z=R-QRkh&9^Pyd6HD}qxy zCRl;G?6;B?jjVKMb1s&Lg_JoGJa0;#P^Z$mD=0ZVbu5C$$Y9yy=^9YxTBn#Rp}zDz z)mV)#9dx9lz^n4eW*9Du!S`~y0HsfnKAzIM*Tvw< zsiNsjx_ilY1FFXzmzmWgD=&Y}nPs2@xe1`KXzd~;cixUgnRit+6Ddl#f{`4oxwfp7+;E4SMq}vV<$Bgov zA2C^RnjNVt4^=bpBM}19FJB3FPwt?E{{0w zGkRF=taV!Wl*M$WaUIvnS1USrb%SvKEM6YZk^%mP@c2dg4YeD%CF*ukCm~bR3FAma zf`>)Xhb$!OD!BUpx9~6nV%wpp%l=;DgRsZtB0 zkdx<#Rw$2UMaJCec72dV%1At^)_yDklq$FDMY-T>>k4ybfCaX$!I(msj-;*2(7)|| zEDYYpPUfd(Suh!BZwH6V?TmaDbDcEtIoqzxaq_mogLSW;bO=$5-(7?2XccNw+oTd?GT>0y1R`*1RL;CYJVBQQ_XuCBDk z7+4QQ1c?K(n!MkE#11DWboiZ4GgOTfVS3X7$!%hEx zCXGGh+bx+EWH^__KEFH0ps1yp5^$bB`q5`ZWrL-N160@f)x?MqdL1GKE}?r4z+(9H zo5{eRD{t5E9$Q_EH~Scj0|BUn_`FF=4PR_5#2`-FN1{6c+EW5`>Q_gpyUF@pwJrA* z&QQYzfZWgdk=D;C0mo!DxIt{p+K%6KoK<%nHaw=`7U9l+j{{qEHyt>LP6+nAnc#mX zn`bjHR#KCrZ}1P4T(xWYyDQ-~rm&RMzpV3f4^x5#;)$hUB3X7Ox1TxYn90nuNB{~` z5WYSIUm<2Ee)7I@(x>n%907joXg^w~)&5!-k3~a!n*%yJkwP=weR7o)_bbqnLCX4> zR)|MyHPAu#bQ(nf%H$inKH)Y87MiURpjyH@7-zIFJw*`c2Tv&khK9ht#N}shb2k8L zs~De%p6M8fiw@fPUEM-2ee%Czj+U=1oKM%T57u1-_qB z4s5N9EFi`KMZC_Dj}TsI6jd0c;A`iPFm0y#K3rxlis6dR zkhuH9gnROtik6zVuWGW^=txQugM0bGpN5BNN*4-&syr*25(DN*y`3Mgcg)<*)eQJJ zt1^;~Avo`D&K8bRTXIs5Zu=Y$#n_Pj~ZMUUEM=uXUtL|VQy&z?DCdA&70r08B*%u^^0yFW2Hbj_FtN{4^ zI+1rTQS7Qj$*;Y8N0#rYJpziU-XJ8F1BA;WhuOGB6jaXv3>W6Cp@}R0o|Yd6_O5r_ zrzFHn*`NP0yb3ltIykkDD_UY`JKEqat9hjKA=3Y@`;?mLnJdY66O}$S(nm;7htoy! z&=5aQevk?UlHskiF;eqL@>=IFLX; zwhvofGBwbYcsnJRop?N8;adp zJUSLNH>E@(#fwHMw4J5NQc5gRb~k14So&s{r`b|~8p7Z8bX6Rtfx1rllXvf6^6+|# z*D>an0T=}q;vSFD4fab!2Xb_sVEe(xwzg;v<%~bcY<`hT#wBjkDP& zhHr(7TAlaX_AIG9kg(2D)fbw$@+}R$*|&8$eVNPNFixF(%N7zVtcABf)j2Qf_=ZSk z_L0VGuzb{|;jMJ>33kOrWxVHJIiQsI74vW4ON`Z$}aD6^%?wf=4bfU;{{Z{X6{^FC6q)y;`FV)Rg{S|k3-p5Flkuo z&&#EgG@eBp{XGkVxoF(ssgHr1EP7bp0`WC)qF_F#KQU!P9k9`(UgQzAar`&A(nAfZh!*dWnl_|9B`OYma$Aq4V0(D0VF%L z+^*UR$T;PPV@=ipS0%HKP6!NzG)-s4;LV*?jtR2iKfyLy$;d!txF11tDRaimrka?= z)@ld7(pb`XNQ}@Ec@GiS4;&bsG4`D*6!buakGfB$a?2j@IR0=qznHy1)d@=3Y= zy05cl*Tn{INGTFYkhzNlv|5nm2@$?Z;Vn~8A&H0jg(`)=ND(J6oy-)$Qbq#SOQcW< z!W-R_p`NKquhlWk$XiB)1_u8Lhzg$; zLKfOHj?K1s0H5;{JckAlk=Jus`a+Ago3ewGu=&;E4gCejHCi$7*jwzEX+9|-^02Nd zr(UKVW%5UMqx?ci*;E(Y0s}GN%OueDiP5>=fihGzz(SxIpAeUXh%Tpvl+1cupXspf zFRN6NE;{HlWUA|OeV4h*8+e^BC6hAi6qgpP;RUU<+p&2&rm_HJFdo5KS;~gp1($Ln zfh4a$*^Ssl#Des@a{U+bv-ROO-n~PlwX-CsHJ?zMonrV5U%4mfIY zZy&4j#Gzhw%TK667@^+>k9a79%k>U-lUpX@Az?rVSI40PaIX6n9$#k~z(*?%1)cGb z7j>C84trTM44)Q?_*@XG+GhZ@c0Ga}>QeYZpCLk#N-%~;HZz6 zpOJw{IJO}S*yVHrByA|+I-*jNv{>F?R^=Wq%KSKuX(4qg@|syDHZ`9px)L}uv{=z{ z@NnkJBuacTefe}(>QGw zcs1UU!F56)>?p){00>^}F0bRS6jzLN;(G@ezC!|`~lr}5kZ9DzPxfnH!=brKIygQxd^_(y)Sqs0qe z3q2r_@;pCq^&;+gAX<;{r&lk=#?wQQ9}%a~g9NGEh*!N$h0pnN?T4Y?A^iA&>cB4K`Pg% z8VwVl)o9XH8S?0Z>=>}AFAzy<38NUS+7GlH zwZnFIyAx?GrqcjB%8?#+Ek^{Dx0H9rv)1SRo{rcpLz}`YO}g+O{s`_mVwdczqf-JM z030Oz2ZEa%hC;RRZ@~AWaq{=BC0npKS!%XX&%rs3vyV%rWmdN%oZmSg}`u zA0VCVo@q~pV*r_ZI7+b>ND_Tzsk-;@k^^l(O?EU{fO|d*_;6=Y2^%;r(JBNzLZR!` z#R(&%iI6G@zEYPnIAkFv4_64{6HNc0vq!*?sgyGQ%2HuR^{_rvxC5ctSH0}pmweug z_!Sl;-sO+|(^E#q-Vip#28viS6IYR(TKqoaDijQR~2%R8h=L)Xo8j(nVE5`g} zq?`ktSpYx)tDYrF1Q*jJ+1ngsZxI@hWjFKbS(!B9CF&$07l$y zt-#a4)qGGmw)KSyRX7JQ{mOb<4P;`h8QV$lSHRumWORi6?Cgkr`cRE|UEfPBI+DV_ z!wgY-L&6KIx@7;>^3%`GIM&>WV$Tjk;dK520aACBI}(z(FDibK-M5Zp-7!FpMDk4_ z0X)0q8BG4B-3iZ)>R-y`&CyX(_Vlu=na@1~Gi}`MoZ8NWzBVC)>-0$F0+oWM?m&N4 zFrNGrUZBVF0)X8HYe9A^ndd&zqChP@lmNAl5>4Z0GBU7rPcykhxx&1g-76PwqzZDO zYsDl;Z>5VKC$YGssrqs_*na4Sz9Rk$rYa!JlNLkTOl@Fr0zX2^hcAadAy7#{cvZOP z-zq(wTJ0q+S*ya<7*0i|G|SiqfX9fP;o&^C#uWvum<4Hh0F1+fIG0>o=Z4lyB zOUa%aO3?_z7~oQQpySkoA73^1<{-yrYdu;%nWWQ-O*p>UeuaK!AQKwxTjd5z-SWbl zP4&%!13F?cJ*kx#1&1@GW|*?*x*WBv?X+MV!UE2 zow0qiykoUgewrA=ywELFU`<=LtsF8-ei*;0*h-)cyECVjBg8BKQb4W0V6N}XF(bwM zlH&@eS*5gkQB2@nb+@Q$TuGQ0_Vo~J?sCx>l!%26bSqNSuQc80lD8 zoILqosXM*GK5=aBLkA@0r}QhMfB;v771^oMqsv0(k^hUdcWWIw0HZ(W+ilx43uJ>V z_U1BYN$-k`K*roMGPt0GzR?wC%DVzJYQYY1=3TW!P{=}mQO!l_h2TF2O#QHe5!+(R zVXA}@2<=A}lOK*w4umoO3(&p-#1c9mj-2dPlBB&{z%cdeRNsuL{*xFZMrKAns-DMkS@JmGLdKvIb#A=p{j?OGM4 z!B0M2*5~~+t~&?4>a2jGL-%ojD8Z2$uIi8~M6{=RI1Zk9DjCo!QyjrvotQ{0X2y zo2vf!3xu&&g(852#5K@>!Bq-mS}IdqmQ~noGb3xAN@3u4E=E%be?i`4s-k$Z>ncj6 zK3@_;#;aZvutnrWjDZOJA^pc(12dUl+DQp%f#OoA%X~YOc78mPwb~D>NBxV$N`j`@ z_=bPV2Y%u=KgkdLk$pRG9znR#1O4&ne2c$4AUG|Ru(*@F*|AXEuVNgkg@ zIR);hKn)hiPjqt8f@mmps*EohfH;F;bOOLoO0v)iQ~r%H-90{=J3*$tdQLKm0|AZv z$nGCV8Gw&Sr<@A*Q!^zW;KE5}=){xENdL(GAV?WG{`5VVWM)RUXna$Y?m?oiB~{&1 zf5z-4f^><|2ygr=9p$OuS-5)h%@IQ6n1mHUa#0|6EM8{)v)U(URduHw4ZiETjLx0Y zzZ~WYfEsk|`Lt6yu>qAm-kq6SL|kv&rv&cRa0dsCODgU*KKP52bk7vyIdzIf9_PpQLF=>OtK9BAUFB;w@$6QciwD1o{Tm;+2TgWp{7 zmPwy{l7aFdA@RgZCVk52R|Hq;-!dnoa%1{G{1yk6FO(@y9*W~C)6c%en6IA8X*2b6 z1gJ3(W4KSKgs*>&1lQd2NJs*vo&cReVqC!?r}P`Z=a? z5#VmFM?x(_n;V6t4IT^rkxElPW=to+*+Z%e{ivpoe2Zfg<)QPVK)(OeKmK7+F%oZ7 zkiMwUm~B}yIRz*mNIf&x2#$%LJeQ_3ZX*GmWVbJQEo3*oFBJ5+NEoAQ&{|hSTt&Ii zIFY6&2`~|cravQkOjt8Ss^?#c)v+&L{6x$8gNM7Dt9YFB$@4K;Tp%_u&bm;Md%=~w zF=hubfQX&J6f;DT1|Y}=*Ef_&V7#Sn*RrNS8qi>IyT(u-CZn+*QrvpM-KT5wwGxzF z_g&kbdOG7@n7RYablpeC4Bmk_1Rc?;s(h7|u;@zI(~sW0JAf#+qJ4rNUNfs-N3gFZ3h~4koldQjK5%Z!nYDn)ZjOjwD^zjrxpn(GqlT{M1BT8 z3QhJ4{NaQ?VEj|+!09+HJP0F7M|rmx1c%8!T#h-hpw7n<{?F3~-_K&}as#DN-xSD% zp_45zc-oETrFTew8=*x2l{h1x3dszwXSDgZjX10Fi?{NK5Y9bX*M;#G+`Vx$ay7@K zKOW{oyDvHPbam+%*q8Y*gz6i7et55XE;kz+anZEQ1DAIs4|2(bukh;M_qZ^kZAuu5 zQz?cE1TQq{m#@l_IM=$|(E&?jDLR>uWsyNkM~W?jK|e6t??iVThb)Y=5}r?FJUJXc zJ9O)dl@HsIf+cj$+k!f(DGP*sRwre90sHzP4#o1*M|5o`asx!Q-IaH))(xMy_S(4$gGOhFsh+3S5a+oF z`5A^ic7`kup%i{K;Z?T!~gScoJt5s@eCKxMNNG}rbBo?}}0$aq@alj*}9 z;8d5~a&e2AkFnCfAt$^w zC{nZVM$Muy3>^WVzaucZt3kpU@U{lgmg$FN?!Hj~b=Ux}(q7_=aV>IEW1kr%Z1egE z4zy8p8UlMFeoJ%$$1^74Qgsd)2S7lI?+17X;Pau4-CUSy%Ky zhOW%l>~6shh)oHcjj@0b}(IQ`*Yn12xO!br_TnZ9QOnGq#r?0lDYB?)Yvq*IXI3!06&PRoA82K}(we>)&b0 z?X?F85=RbMm2K&&o8;%%X0zjt=;Y3{V2`3eZIBRHQnBJ2ODCe!&?E3Eg4y<#^z_Ca z1bZI4!?bt6Iw2`=rAo-wR)>VULbDs2C66Vo!Plzdg^1iq-je9wSbKN?{aXuVh+wbC zW;6PZJn!}bEc;Prw7h@`*vJtu4O5S;m^TFbw|9zL)ueMoisk+dad-4esu|u}%Y6@5 zK5tf2tOR>ga974c4|hWp2hZAUe&3N4UaKeT58H2ge%)5jD2T{FdQ14HR|x-}68Hh) zJEJ$n$2Zmmu6J}(t&)T_|1F88p>W*|3qv9FXypeS_VJE9TiN*3*0S8&-Yt_XaHl1h zR+FY2@bJttmNa{n!&P3hh5f zmE!-XoE{l{7*`8mE{zb-UK9?sRBlCGIrT zbm9bTecRxM4@Dolw%yq5uTdcUslM0@k&n3Wa!tqn@QD%j0kO|FpGwv`-)!17_+GSc z+A&9n!6yX??KoyKlRaWyDV@d{RBbxv60q>N>ahx>H0w4kR@1p#4=Y?;T z<=rdG=rj47%Yg;S7^17LJ<}B9zB0&Zg82ZEy|NU~4|Uf?NGKD`RKSc16FB@2fKl46 z6@l_NI8y<^jRJyO1#tKkf}uF7@kHj;p}?%9#bixmI5kBN4J$@!{hKr^U>hvJ=dNMr z5MV!rOURveX3z{H*m8^a=(EiRZQ_JU9D{|>0Gf++zN+D{mm{J85DNfX7+2*0%X6YQ z3*nis>2U&`iyGADJww4E(z=9QWBZ=iO;PG*87(>^lb5Tr=^#ys+dsnbf*Vow8PtIat!g`8mmlf^*9c^6s|*4wrr|oeyHqqi|7X&@oZ*1MeJ6B$Le^> zGimLz2hU@7#6cQ@Wosh4*Do)Np*l-BRJY7eQtMyWb~JD18jh9<*$!az0Nr+tNKJ?Y zo4mLJvGG&&2e3Hoa|FAB0xWN6?^gfYjDOgY9|X!`nP8J0avM%bOeZaDwm|2FiK+g* z%$AWnvO0kf+O^sW(0N8T#aSNGC*gVl zF{6!@b#c1}YxJ>d zX7Ub0*X6Ki+cn=^dNYas{TA2d_D1hDWmS&>m$dTg*~YcIHxO|BW(!>P;R&&nve4|$ z`Rh;*FwJo=wvIrjBQ2+?vpwfH7^^4rB)(tOrTnqFwpo_7C0%adY1mXHPVGkB<3-&+ zqhl4wGGgE{*vzqcYm9F6C`MyT$1hVHW398>1@*W*p%gm^3_ri!Mq61qac@nXTC3*> zkr&*TXHFPHmduzlO?fiSoy_dF@biS-84!V3XyM}mm|We3pBU-;@<34zoc}$oDYSvk zmI?2R#>Ei&SO22Cc_w#~_z4f}VPd+tWKZx4h|`59iJzvfXXsb#&(LGx9)CxBs~KLjG(*MDC1pPsQ`F?i z6R;;w7J|@9oRCt$;zr?>4^J9K3n`Ni&s3qA6OZz`Svc_^lr@-3T6!fVs6&`a5U23M zOFz+160|sTeTqXokDCJj(T^3XOtVqQF-v$Eg(O3k@U=loBims=TMZiW2!wx1w{Zp5?O>#y6UrPFr{zNK=-pPVDDYAR>!-^i(eeaHxEVW5%qLA6f-7>`2?1OEV1C-2SPeZ?_jASR>tnmqawI`7DA{O?f zMt5}?ED+>fr>AB0^_2l7^0mD?~Udvx|R0JOI6K)DRf|d$PEwc=u-Uz?HIxbyw|Vz)!z*n);p2(o(E%`M!BzozBI43KT_i zrPO61>}tCBjbrO+l2t9UynOr>XkNHJW~X}rcv@Ul0ppxayRJsv83VI#jy>=kKGA3Z z#<%?#Xz#lbNP4-@fYuqK(AZced4BmOn8fw`x@vUri5V700B-eE(dJProCoaah64ljXN@%qt@oB z^dyWN=}9WxT*^FsVZ*o?z7YezDEz8h)0@hLwM96!^P000Yg zcyhD&^lBxAcFz+|W{Nr0{v z7ZWQm7BOx*BX*qi65=YH1MG+&e+k6mf_9&q3MPOKX5AL$h7pi@Ln-&a`O&*~Km&Ay z_E;Wxm5Gn%y_H5HG%t!ReKE!nxQyJF_a&YMoI_2b@(pc;Hb2ROs3ZZW)$%G0hX&3; z)+S?K4c&!y>iv{0HnU+5hLi24Agit@aJNwRH}dg4l#!2)2M5${UrK4`W|h;ncj3NJ zd;??Z4wTwP5zV=;nO+X;#J2DWQyzf*j(JWyuGy;U$VR|D)(+&uWYFzuAYPpT8Zz?V z&ANgPpUpv3Yp72Zfa$4GgM&anJQkD(9Bt~+xj+^CkH8lpu#jw&kEG}u?xQuS`jN)2 zAp@yq*YbvJdcFgECbNdV;|gFRaBLf{RYyg%$zNv3;J~4^2V;T~{v^^Vn2X^=M6uD{PnJB&Z8B$XLFy>HNC_fs}x? z>#{<|Usr_bx-jo`55`v|Okv%u-vc~&6a#Kr=%D0CDSp3#MUUZB^9dSlBWrovW8+YlY$UibmF z$zP$v=Ym6wT~9??hUor%sGAhqIX_ zOl^7C_Qm6^qQ}Ak)f)E? zR()v=y~DMy?y*TKXacp=m@tK|-=CCQ3_Jn!pDMtHMz|{FgZwr9ez8|=Gq58QA5{4tid*OZ z$D*3@BJUlv+5)NC6#~8#aWZ87FqS-A+sMua1bo@$B|tz`a(r`q2blC;1h1c%e*(>B z=35)uvY18{NT2G0xY&<*6NGR&v4lpylSUbh^F2K>)OmMHU`I0!*R zNPlJ2#3-`(1)(%kb7xTjE>)YF5HVhOOihS9q~;*|E7?JWdc>fNr#6%2L4R4ROH<~C zTm(cpKGis6ItTF5BYWssfREgs4?1nYQBL4iz*{2V5pg}@1H7H;aHfewa)%?vc&rJy zH!;vOxEb6J(X$fdMXG*mo6`l;ahV!@5oqp5))G4N{rQi+5U;4m?P5#DZfkoA7jaE1 z0DzTdfH&D3MQ6(8%bm*r?6^gi^iGyQp3ZyP&}gkTGw~vSJ5$Ki&h>>Bm!aRnvlLJ1wUhV?62>R$4i%+CGpAj}+V5Mm>#! zV)UVH%112Xu&@Upb6PlC-zfae@_+C9-~Sum|LpHk73Sq1{_I!F;t#|B_$PO2z)%^V zQ;)G0-~a4C=l>e*=i=?|GmrZ`V0&kANe<6J^AAq{NR)G3;_an*zkL0S~->k*W&d?PwdP0gHyQ03=4`bQ7 z#^iu@bEmtd%2yjzilG@V3@!$-A)g)XkV^0z+tsUO)f z0i1(~FmUz_F0*@Fx-r_k7|S{RfBc`^NfSXoFZLFnQcup43` z1ROxd8xkZwc{lX?s+`v$N~2jv-W9QV#zFY>Ivux6F+t{kR#RBSc!+gW*vM>Tyn7?_ zJ3o2LbL{kD!yVQ1AoC1QFcmKA!ONb3?ns{x>|f-HBh#k+V2AI$$UYvNI3|m3=78o0 zWBzOJA9f=P<`O`9HFHG^TrELxX6dwXUbP4z>XiMlvD5dIlIswY%{2L>B|1CV z0k43dF36Ov8aTk!;*v&Y5vt(5ca?x3b`57U9h^Kt{EmT+;+scPVpZ6g%ATYtm2bG6 zr8@f!w=U)1R;>D|2cjVKO%&Adegl+GogM_21q4ADxHB|UPfNJ=_o7ZrZ;WFUgD%H( zPD}5OLJ*ImICf#c&TXcjTBP$EnESL4_j~2j6K|w=MiOyRGsQ3&lwhLo(GQM0d5+PVIP-a%rpL8*N*JfN7+Nr`8UAmoCB6f0kDTBARzpEXXDJ=x@uOF; zm}F5zhnRoxSKhtTq~E4{`^=+@PmKT|;N!5qps?^D0sr6rSXLeTZp(v*7f$|Af&D-k zBlpqyZor%5*9sU!#m$_~t+mEcbmXWRrO=!;9JV466q6t_fj4CVX_@uHFdEu~Cx~-|el26JvYqEAFp!0%hDuBFa3`<3>T=5n`1@i^RxD-{Zun)y)S zMs?Px{)BgO`#{QRjy0{ps!xn29atN=jvduht1|t;ce9=mx~KxTc&(`+ zf!QwUn9u_*&UsxnE4Z=E8-=ks6xi76dG~C}Ri_-uj1gw?8AK7Aby2>puzgMaFkKm? zS)q$Zolb7D=0gQJTfALRZPr-Q)`lzz+6Ez@bg>6zm5u>TPBp>9K@6G%td|m3d3RSQ z(fgS6em&s%-~bnkn@bemnTU&yDQ>1g)7a;iP7}BrGSn=R2jN*S8U1XG7jwcOZfn*( za6T26(U}5HYl5MIIr!F8xbJMlK?ZVx8j_8_&70XKpq=~@kpqVgvQKepDi1@|%@*#Q zV<;+KU`82cWu}#7)s=9oo~_=}E9G%VTMX58Z+43x&D{g1`N=MwxJNa`K>x0~#T_@1 zR2J<3ya&Spk)q4h78*l891mu9uy?EYl}We4FAect&6Sq0*3ljY-`D~HVO>63tqet( zCc+voUHY1Kv5%k(s(iJY&x2q#r=~%|l_BQTX;<+H^lHuFh=F<2MmJHteEPad^S)uC zqZ;plMn&Qqiyo~Cq~Xk>wytR-fS0{l5m`R5)->j{j7FuK_Ey}LQ$?CZuaqBb?9)@; zOjpAg;vE=wVHoB`zNXxTQ2H$zv}@~=DQ9xP9mi*r*Py;yXbNM8Gw;%D2I}2(n!&Oz zjRE(QqVNMz37w|_?%VllU^={eZv|JIRQyq?^L%8v%w&-do?xEP$m!_HROr|+C z^-*2DD3F62!@X+JyhVMkMm(>&HSHNK;zDLN1T~7fx~U3MoBBpy&&^F)ts+{jcHmrW zmJ{LM(qXDs5vm{>eK82djSSq;4I-m~ z1NQ`!H~iO+fT8HQY4nsb8fOd#x8Tw89buFM_b44U(MZ520lv`>pZL*;GLkL*l&~{~ z4=_-VG6s%vy*nV5w-HY8d^mvsn2U`#H&8J>H>Nsp2w)ZhvG391mx2>*4SlgYkO=_{ zYR(y{(tXOGP`S}l#!fiwkmtLP7LIgH)gxLKFtRUBH}n8Qb2YU;O(qZN@F^6BAxxt!;NEC?208i$e!K8{@cf1F zL<#RNbQrv_P?`j3w17|a&>G;>QR{|%t|1)*!1y4ZNJ$SC(jz5(@(2$hDDx-h`SFs| zM4>zYfw0rXguds!S&Z(X(HTAEu7N>^V#vNhG{OYLdCp&$h*i1Sla54F|9^w4mbv^? z$p-@vu8x4LN`uS9D74RwKf{xr%FTku(H%&N2;C@2^eD^?YD2tsw!MeT#g3(el~-8M^I5eK|gqjH$@Im7tjEwBg*Jb;5cL;T@TI& zB#a7}#?Xkj$l&uI&n8XwUV%-a%kI30wwVsJH|@fzX=_hKhw=O%p$i z4IMLV@d?}2%I5qU9zoEmzXanMN|T{k!;J)P=k zG}s6xiBu2>wb#T~9m|=E41q~J)zZ)%>u=N6B#z_)y4{uAq0T#7{nNnuWPA;4m0xOX z6j_!qbzRxx8{X9et7^|G>Og%OZU8?W+k<%+Sb`6>|6=W8S_s;(FgV4x|4oN>tO z6P=DZYme(8v$wPVs8i9ZJg7-1qV=5?8;u`Y&g7z z-z9OY>^ZoYb`WoL5YVY_?9m_M8+#T|Y>oJbp~H7+&t=2+?Pl!}sQ0bSL>C~?R4phF zqut>@-@->zh+2Ct-Hqw6xxy9JH`>a-5y*W{3UO1WU_naA z5WH=0@8rz7h{c|BuABRwY^POObNJ>r_R`pAi3v*t9(M~)i|Ry^pQ{P+dzM&Nhx~)| zJCi5PFe-d5Cx~zvR$Q1of}a2xql{(uh`y(<)&3J&qN^_NwX|lu4}3D?po;ADs#OJ| zqp2fK?UBsIRhiGkUk%`!t>7iU3=#Gw)~ zc%L2uE+u)7;8nc0;vGg&@bZ|1*TrE(_}NRQRnP9ke4adAD<_MO-rHnSDPpRxd&H!j zYf;(oPIH75_TcqZ!H?EXQ?uI#nZQ(TkwoUP>i@ zcPe-{s)qv|@GbvV!Y})YbgNml-PYb?r7oNPcJf=L2i%4V5%WDr)jsvlH%bJUA(e)E zvb}_t+I{|^r4_E(TWXJ{`9*fu`7f&!I{Cbm6(IXIC+9iew<}tWwsj9whc76D4g?2M zNjl1`X#;~}=AxXK&Yl;6${T9FLj1hKXzSngpBDe`y;CSQTMm)vhMpF7=aM7Z21m1; z^$d8&7r*t&*nUVo#~ss8sYL*)s{@L_4;DJ&_V|?0RSet z*?X7jPwBpIfTPd~yxNc}T1Gx%hTdNkHrwmT7wfZOOO|6R$p?n80FFVUt&^Z)afQcRW8Tr)f#4Z_AlzG?=d<&x!Q)@cV6y4LonBI83F36>rTBd8#w~FtCGTM%~Rsn`5AFXt9mHM;icI?1~Ox07%A!0 z|AHu)qN@&|20?pCZUW$jp~+u(4Cac~({a8((MOwYZl zzVxOL-&aBcWZdFx0UH?o z6=sv5-P_fOo^HNmfLhqH*U~X`V-DRuNL+u z->pXk>u<=Oz2xg1>+Z0w=$w?3d8f{cd>V3bUtMi-o9%Mo|I?JnYs=3RJ%H!Z7XCtY z239t%M4E>7wV~K!ThLIpe46IqIL$0$1qKKiOM$cD0qgZD-yz<2`b!;~P@gfohU4Lj z*S;F40Tm7tD)iWvmj#dnwbbf8{$u>jcNDH}VR*ZR#$$(sGHMcPbrhY|C;5?K7MMWX zDn`(V57beA>uRIpi9IH8YuK9sh;$Np$KiAVsU96A>k@_A)#>BUsRp=+JOV7<13YiY zF0P!8F<@lCBQjmF3_6Q}$w-`Kt zkpoxh%dvtJl`0c_fr$f9VJaQRt%Ui1ac}IY>SRvnJB$y2a0IgI;MrLpN)po}x{iyc z0S`fk>3i0{qR|&QvH;h}JI0RD>!AvRWE}IJYy%)8+N5#Es;Qj3d!-GB>ZX67b0TmE zD~4rbiwrkJ3g=unMDcE2gG{}$b?PY_ts$G6LSikX9;$6+AFKBCCHaycm@maEcYA18 z6-}|WFLG!6&$5aC@=rz@Q+*2I;5#1RN)_l&gJPt6%)Y;QLgc`2#1S)$9Oni+u|(W7=bJ zqQ?~Q4DL_Kg}8FWBHqby4%q(ZlB z_tnwP_^v;hy&EI~Za*(%6sNuix5UU#K_&q7v#jz-{!7O%22{OU1^y6v0uz5Lfl@BB z)}DZ^-spr`GFON{=gDTuC1333mK39)BncfGUYGq9K#_6B#V zj^@WUqKgv4<1ceXh>gX8fnV{gv}ti4;N)sk?`UCbdOM2025x`i^TvKHBBY~sC#*Wk zlTiy;(J6a>Afa|jGQ1#3*pM~-6ts{CVH6TQH%STfO+2dMWnYt-ph3@L7ymjGMGY9* zB>9>YDhX-sPLTtn>=?&}jl6O#YN!SH83_o3FtjFESjyj*hl(%4LAu!T<<8{!Dc9a$ zJkHCL4VUi~PAtCEvs|t0#5b#)`CmI>=#rWl-rkEs5ZH{{k?XP;%V;c1*E`~F&^_dZ zUxPHm1?;r)wj=pc`=Yz_;KQKp9#rFZdcr4=!zc$wIQO z@>KzYX9pceT!q$kVN7}U*B@8Eewjc{drVyJ*0 zEEA&@JzoUz8zA~i=1`EPZeRuOGJ_|)Md4;#5~N6<>19fuA|K9 z0;f33i*Dsm&6sNCg@9Z2y<3S9*e5R7dIek7ipKCpK0U#%Qm4z*(R|299n(#TlQ<+D z8#gRrE02~FbIK4>g3vNxr>7ixUC}BPs#NZls=87h^ff!Z5P}wP{Xi&6Pz@Tsju|vFlqS`t_82Ir*k_ zB?zM|#*NW3%gvd-8?{R+rv2(ATXIw1bJciK-`I^(4567Rp3kb?*cd-!WzS}*qnpY* z^?)BG0V}tXL-UPBzaPEL$IV&e!*ZxNJjO=1A#s}%21F;5aa2L+fFPVX^>HeA zcuT)p0p7exf6tc|PEPzi0zMCKX%beB7-J*s*ASG@Ie~A+T%k8XT=fcJ5!3EjyAte6M>?HzIuHQ{?1kf638J9wgd>HY0q8lE8p4a79f4d48%Ox^ zaLRYOPF~24M=B;90l^3rK9nD-LJGnSkAUC0)<5|*GK;!=qus{@!rF)o80{oMtH48k zJ*?#A3dc9L5BVJD@%x$S9&p?sIgM1)fJ3VoPCAP(S$w<{F7xmsCj!Ly^rz)BnyP@1e90H9R0@Gw#{q49h3T!)CU;UJZ<3&WFU{eel{O9Jtw^u zd0mM_OXhn%|2oS8pBm>=T}TS_uj|fXEz=2ooe=m3>?K0g-CaKZ;!ppGrXQY1+M$NW ziSi+_A9c<^a>A^=E@L?}Ed9DEtn2(jylBeSSr7X$p)U!s6JC$iha7HDI%%MjM&Y&0 zAz$$US(WX1xBFzSjGWxp$-V5l*A0|yNgYUP>W%Db^u=u~KZ3)BI+A^0xE}=*RxXXN z=Lr?F2Nq|szv#5Sq=jwd^yd;T0zb8{aw*u4s^+!?x(xQSyge5cqPF!v{N(0B{DWY; z_1c^{eE%NEPKFKBsqF|FltfNH5{5l^U^pm7xI#u;H9iBZ`hchaK^bM=L4Z@R@MMM^ z%(SWrTEuEi}C0EkiOL`iHHo8NMCblp;PcJiRU#YwcmDS{=&@( z=lwq`NOfIwU0e)E3@I+253xIIhK$1`KAyEBxE7oMCPM^c$16H^^aliZ;!0C=2e}Ky zac82lYtbpdGgO%89Pm0xgoTz{>$^)$nRf`6&Pq^eINDUCCysh^8u2*LAxeE_bq!`k zKs8ZvfbgR=qA~3ryZ{=yo8@P~rWg5v0ZcCg9GK#KU&)KFRi4o{ZMMv$V^TqW_tbp# zL$lMVXP8VcoDG`yX2;I}p$%Yp5fA6h-bThW0SokSe)dxmMysBX3{dDGZ*X4(xvL$20*PscFB z8TSt^*8PYUVC7MnbIi+yvh3hT$*!ijjgquLv&5BJQ*IHQQg#ho18M;Aq6Ui4Nj;75 z3js5i31c@LIcWyyZQ0BYADVgX5|NMuT;k~X{PAxWd%I@J2Vsg>GfxzDEDl{!3CXnD z=O6#;S|!Z~vwGUR;e9(Y#2b#=oDY;oQ=PQU#Wqnk_1N~~FFR=lUNM)woU-Kz`eN9< zIuBym(Z}F*FK;(ox-OAH0>pg6?~hsl9FD)WVM3N@W%u3i@s|rhiO%X9o!*dj44@7kvfuaVES-4fK5<^#B7D_ZKMml9EU%}YU^?E5^U#n4(c+UqJ3j!A<*~mx9VfR#*(~}?>X)Us5646Dd_2jj z9@eCN<)Otv@z!{zqb@^*m>v9D0jJmLGlXNPnOar{yyY?`jT(IlRxp;w#5L|ZJ;e*+AX(lyv`DK0V2%1eF|IPt@fXK(2 zZBkHIz9>k*-g4eJA6ZSClM-O8VX02f2+d=1S}~!j<*6b~oi7uvp6>{X9CNJmrg}z} z=V8@8=Z1E>!p2BPGFnzr@EO2mSV3Uf{7%u`>HFWA$Gc{H=p7C|N#>4Dv z+{Td#OjQK@Ep=zRZ_Un#^y2T4FIIcxuI<0?NXWKL20L|7( z8EGFnf3$bhOccht;UE8t(vxU~4g&4ulj} zYq_iAB?F@^f}2*;LesQY`-_jW)6lUqs`XmE6iB(Ridi4YdYE`T11_|*^|T0*68u*` ze)le4qjTZ90HW;?)tuJCGPfW02eoIzCO8hYPzP~M$sp(%6?^>of!&kj_gVTi$dgXu zo} z6uDSUQc6gjaI6khR~<-u@KBSHkr|O<;9@4Qs#CsdyZqy?Xt@uc@PL%Cr?i*4G~p>7 z0w>6faZ>*&bJ75a`dI`ZY|o24>yXo~N+T0L0rEUb1GtQ(UIhAE*E*EcA}Rr_=h$|< z7$|g3mhpH%SXexhvD@Q4nQX%gTH zD~U-+`;yzFfBDBh9Gu7xsFaMVfyjPZ7Fit0p`NP9sBL?ALwY`ZJ@5*f1@I%vJd2Dp z^yG8ilvURPC4#D-MoC6{S{(R+8zfGI2Q>Ci+P2NdKg{cvrhE28+iB(jE8C-)0c8Hr zr7q)i&n^B-a$)e&(#?GkhFM6P7BwZHaq{3nXVL1@9zXta%{=8P6&axdN$OEQ_(^1) zK=S(W=QLb2L1Q<%917LVLd}yBGZ7^ z-WW(DG1KpY-FGT~XEyAG0mFa+177$q$jZ#B%3E2L)tQyIUR?-+M{Sa@3_>J_G)E!{ zu}RV5P@-&!f?yF67ktyS*WP+H9&>2JmKR>gTYq1~$*jz(x^H^;LzwAz@2xr~&hI!8 zaU#CBPt^Y*eYL-CztTuNHX^O~XoVhYyXLvte`wRta77m??Ye2l99&SH@+t#;X|L@e z+>9|z!E6A5MWFo9@t?SSXAjJb*1g8CkKyLRZV*(%Q%}C-PBw~%^YCkcw@Q0GRBxjpZ z!tPJRR$mznTZRIk3VY+hX8!ZW$?mt z2_1U4$M+>R(Nz=EV>P@G8fvjp!@f_*`=OFEk)R2|yx9nn1HnGoU{5p&U+sm_87H36 z#@2;42dQb5F`!gohW~7ohcxVlGTnC~DiUcgOdh**g+J;h! z>rKIQw|nrh>4u))4#qcW);~9t6qm${t*cfzm&8#PRVQ(kcLvTAvOL?L;QDH-zM~(M zCO|K1amLXvC%ni!zRr72Pe*y-IEb6ns%a!`xaQ$vP8k8iyPD-Wk2BAj;cUL?4e8O* zS++(ih@kdq)94vJLN?G?uIq7WR8U>m&t*NNu$EWN8FkP4Czi1{iP&pIPqCSp-@nE% zbsSMgV4rV<*Fge(1F3W-e@?|zVrf}fy(S*Wn4$xsUqaaccNRoS$kCABf&{YNV+0u; ze_*dIC7{bdf4Y9O;4`NeE(pmZ2v{i-?+T_Cb#iMd(ORZ_6uApeps2yjANdrM#E-a# z+~|?d+fX_(zA{T{@;$)`cKyD}tAkq9nia?g3)*28Nr+wfu}#s|3u1JTuHO*bywJ*< zeA6<3dK?#|PHck&z4T>N6p>vIwE`#!k90-1h~7#l+M%amlrW|+VE$c7;Dnfe^r@^+ zVs%lzWk)sk8N$}IqfWFSo-$})ViHUXCXPaE#J&#k}Mu^ zWP*tBV5#6ty&VesNfIY~6!L?G__~X5A1)Z_;W6nlrXCuvKu2WxxKIJKQ|6O{NDpQ9 zkqQH+J_RAR7!sOPVC^pfSNSmKSYxgc1!pcBZ8Mk#3dK@4VBPc3QtDyq@NdA3HeBM+ z^&dS-wH!=hZEyl0wPWLcOz4SKQ*XIxTsr?RARK$LF}x&&SdC$#kMs>?5GJ~%?~*#A zc;Rv5P(c|Z3ZnI2Sg(Mx=G)lIk~jch342MP$d%ok%m$q6X=H) z&J)zZ%aI7E>8hw(8F30!RV0+kL1gm&N!4*+AF-oTLjV!cEV!eJ%Ugm zcyz3?mz>AuxQB_vwZ*uvL71g|uBsq9fDpy)5eC>!vb6$cE$6bM-@c{cjy+LT zE{qUM#$aWpy7bY6&yY6ea^mJnE#uvCIh5E*E>&2ME>I|ip+cH?3(}-D^MJbow-cRz!Bfar7Ykgs0goZiBq&w%tSAMk zWat3yAlyb?7(nDFf8pS8Zv+Id#2A9mV#M3oZs|vNnOMwzOz|y@c<4j9ErJBxnd^_u z9$PrOD`o&67Z961V%%fEW1nK4Fo)EM2(alzR#)xvW|Rq_gD)b!N_b=|#KH`cFr^HU zav@SnvV%4v4iLUKGaLhFew}IF%R4g!-t3B%9(yOn_Qot@-XEC+O?u&3!$o%)s7os| zRx%_L- z7u5QA*}BA!q!^bxrsxVqA}6-^AUbEF9=;KtGtmC zMTSuyOpps9dH+%xL_OE(n&+xK+M0WkIsK^3S)PIbGo&xuf|pa6x|NGYqn)Tlh&ti$Q6*y!l2mkJ#7rpR0Kemei%8f!yD|>lCS7HmlVI<^3*U^<@=!=T1}a zG+E2UPwwlK34~FYP#e1NzK6VbGYu(Nyi#+w!~zAFXL++S6Z^8%9EiZSgVEG}qMihA@|JFnZak`z>8ycNGsheT|Ri#ls|) z;yzR|zW9E-xX0c@K_UPy!A)IW@$-Ssi2*(0!uFBL_p6TV7j?2`hlL6mq88HV$KzmS0J%CQeJy^zb(_e~39V@_Nf zNvS>LeY#9;AVl223x-tTqnU&Lg>x?m87Bvf8K(zfa zeyeN+o{aL*8~U3*IOnXMC1_UvRV;z;5x)PpvCKPXe%5zCg`zI=X5Z|Xw?*PA3E>gY z8z0ka;n*&vvFy^!bscF0H&|lonD25Lpi0~>(|QcDW6X6~9>r=%E}|4d)2iPV7Qq9! zpdWMAKF0A~Y2)FY#+e!yG6Q1{@Sk;L4%1pKo&=ulcJ|0Dz)hG?$aF{N`_kE_m8|FN zix2g6VfsR0wwnzlelQG+fR;1?HvQ4YF_O)zJ%Umma(9N8DZKQe8ha7H-U|g@C5$pO zY10)bF_}30mvwXCHW((w+^H(DfHdyQ!^4ycg!71dfHOohUVjkd8TL?K9xm^|m|h04 z9_W{bJyOwoY;XlLn5GrLrKK^FGFSh6Q_LToGh!;;i@HuIX&k{2}~^L0i_p z`_(@WbgSNIWlz95+a$$yCa|Q0SoH)J;uD5Mlm$*^n;n?I_#<0zkne%2YNVMamT8#a zuVVh$IryVg76ixpPL9>S=?N2; zZ}!aWVPC;nF3B;u8sdEIegX|%MG2B#mrc8_ZX5Z3zaqgGCx^kR%rnJD990fFTn&9u zH8w$52ngcn!Ig)rrh?8~tyR9XFQ_7#%aMsjv0GOCrgfM$;;hKziDa#&Xy$;k5kU>d zm&~i#ZnHfF;IeV3H&abwa_$AQLO_NXQ>JV#?RABsM{L8YUS?au+Y3~+r@6IJI&z*+ zf|-{MLtIkTz)joNJy94))fI=Q5IlydETC726Aq^SqQFb7mg&zv+<#~@)vA8PX3({m zelO$(i6ePm#wx3};&Y2HDYvOdqf83HEVI}BFzBapZ9n5G*gR*p{9cLpFH^q|R6JDr z#*cH=d8;uP0hdQlsoklwLnkZ%7p+PC?5x|Wuy)lpvp4U4>yQ547S|^o=P;;N68jQl z3<^m{q%iEcLy=1xNIz-#(v1{)b~+>eR2 zm{DXkRTBD^S&$s%9R*y3xW>zpE^`8ceN{XKYf7xLz(%&KmiL9TDw%Sj(h~k-oTN~1 zH)XYdA%=F=@;QbWs>c_M_qC2d$7TqYWx#Un12njfUKJhTPj+OQg2)Xa+jQj~Ocnvfdd%|jTlI1&& z?2eB9F~_sKXN_ID6!Tp5Z=@f4b$6jABo{O=>dmlf6nEs#>`W>o7G?j2$Cz7)0UFF$ zstY-z?JY3x*kd>>M>=Wm-`8i)>KRP4&5qfbe$=m%byI7=#q4ql6_S#1*kVDf$wkDY z%)`OhVdxudDR5mV+1yp6zsXo~4bgVlymbN#TW~ccce4y&m15ALi|&?&k`|M+mozr5 zu3dAzOTeIp23%S$i&h>btCyRu5WxyprcIsK^{od&Nf9-w#mDkG$|(?en>^$hst;}q zkYn;9D5A#<-L9Lu8Jt5!jPt~gfNy}#!aC4*nQkw2Ht_*X$^FoHL{m48)~Y;I+olJ> zW47ui)I9O}TbNV;&$I+VuBDgOAPO;h30xB26Eq5ZrQ$Oz7GYhDj_ICwN0S1kZqv8+ zwqh3hNrys)YYv4R+(v_?`f1OLcrZOhpD=|C<0HV7m$)+vsD|_sXW$i7qK}3=h&H{iB@lVAEk$Go zVKP+potLhuaWk0YfgfQ?ci`!tlUBRVMq?W4rH|3VX>qT%P0>J4myo~gh2}8e4I=#e<OWbl@+@ zXg7?6Kg#?6cwNfDHLV#`@9CIKHc>@Vr{IawSxrBD;rXxrK5$+`xs%JKg^)R;&gg2V z+Htd^!n^O-%zM_qr3(XFYHW_C?8@s=4ZP1#2ghUnrzz!7Nb47~j?E{1wmOr0cseUf zKAO*$TH@}{r7jN;x)$O(+EU7Ob|cc1%a{-u}L?^9IIoK2-zUjq~oGkrTFM#lWH4R=(sY3g%Xx z?WzG9$9chL&kYJ)ZPzc|f7?HO~vt8N(Kd?K$$ez&=wgeG%@ zP!9?B^_L9E;l(`i?TIfZij&!JgB#q63Hr!1UtE%gmce*>y*P;(%F$I_k08=#^Vm>h zFDg#R3W|Ms(~v(y9#Jy}BdbUEnd=I{#Qr^Iw33)&SD?+h*D8j$m@5X$v}tO^Br&ir z*EJ&r`w*)|F2I-r4A1~yb6q38!ut@Y3dbO(NZ)U&Bva554W`G%U%gT~b?RP_rJ3Ya z@oZ?O;71B@Q0{LlG3ZKNhUQb?-D23>RF!8VR^3QKX+@Ex3FCH2AzXGlnrF4Bws05y z<))^8i`=FrvmLgFn0!ZwmYcf46q3beW^;b`p$;*)1ABKv;SMI9Zb;4ybBW*7h#V*# z`;Lj$(4fZle5l9cS@GNS0r9!1iiZgv&nw66Qb0G%UE;IEk*xfGfEnz?EyXda$`vNQ zfx|bf0z1YcHa3^}Oa8PxL2tW+rn2-F($CYxkGb8nf z6}?kFc9@3?XU>=x+hNbdQp02oHX}_;Hm9av;@Zm%?IgKfPe0X-izUjcwJuOP4Do7# z0@ul&>}__yt&wlF2Mh6I)02cdPNcU(nICnV2Z8uM3y-eExR#rps}0OolnLfqEq-d+ zZ7&DIEUI^NtQmz`nW+9R@srl@O3XdYii~ru)91M|eWOPlLD5r(z*Bn(-k~vVZ91W+ z^Hd(OP0Eu%kfR^p`pQ)p*pC?b)l-8gX`KLTrdHMLnLzna)y+|YI&8+$LL!^}VSnA8 z+PPZe25-V*Qzv?inHdG5-*YBDh2SA{Re*}agOy2uEVBd*HQi{a8a}3;rJnP{TcGoV zE0DW=Sxfw?^uc~&AjMGM^Dp(i05Z|CId>llK-8G22AizMj&4P_+uLU*wb9!CVp2O5 zqeV$myNb8$IX5Vzh_lT(ViuM@C!fx<6IYWy`td*_c#Hz;zx(P3A4uc32SmOAgABF-L7&z;n0sNq~$FP9r68k7+oK` z=+9|sx99b;vh(wM+yvP?QfrY?& z1%Y+Oebk(o32C6o7ZXXWAb3yo6=q47`GAR&Z+983P`I&2(mdN>C_euaTnRoP`MwO1 zs1-#+VZE-es?aqUGl{-L3xUW-l?U`9&pPRRIHD;g?wb8dS=s5JkTZl;zH>PQaM@sreRdr z8l;#wn1SzWI{H#1*%t>!ft$(!gQ&G~>=3hnFS1OaSh7XF?qbVzV9fPOc`xpnoS1$# z{W-vIa}k+w9f8;2hC1gQmNlfJWekoGAMy%F5I%SnlhE-M-|3j-27Ba4Do$s@oR~do zLxDnI8q$1e@Rf9W=_cPt${JKw72hAug(P?YL!7i-YL>zcs@N?J3H@?h zB8HR)LX|Vh#C$a$#-Y+G)gdu9F1wwWggRc+^kV2+5&t9rUt-y0g-%2RQqpwZ2$i%u zbg+C&eXXyU0!YmNn|+U2M}st_K^W-dwanqb_D_wWl!_aOP{QQeg*x3d?T+P|Ok}1* zDVG|)?Vr)n6|)f?%_u1@LHrW}zVXxL+)>ONXA;YdjlC}?#3<0`5Pp~gl=mooQrASa zY1T3vaS|BXU`Uc4ACKOyvcOxqTVZ%jc93mvn;`YhDQn0!*ao(|3UrDO&mr+*ZXsH$ zUya@En-k_{Y=tlKdZakFTqT=XTo2-Mjf;nKNn8RxC~PWfy?pAcG?nyG(!S*ME$no; zAdaA?hPE%hO+q`GoQzz~>yd|$1Vs8^m!zF;114Kho%{p(XAVx^)jp^4imk{X_OpZ8 z0(X!>m&KSzhv^jx@!g9|@rb>_M3@PVSIg|d1IbA(`%Te4*lF~b zeoa8N?0k5bw%@ECm`dqum-c+9(|aCdCf`-F%!&#^Mkar!o$JyhK8`y8(CRuF4pd((!al*MgKg z;;^ae>R{7jZ}PGAyFY2Xi;v=WxD)uszFqMdk6V~ebAz|p0CJ#i&I)Zm{fI!mgTHnN z?Ig2TZfw7S<|#IY2hH*Qrs-I;MKDfY|p!HPW%t}{&0pgxR-1sRmXhy)Gwe%$_sAULUVV_91i=(d%%2# zmmL(3ks5cJQN_6^yOQDPU@8SY`OdiipX~yNy{)i?kJ=XaCyJhQ|3S67vj1lhkt%WwN&K?kw4CSxCC9$UDm|g-vWc`a^HCBQ{FgJdcf- zBR=MUTO44KdB{0NP#4owW*YINz>n zp;r}I;ZWtlt^j>%athKSUz7bo=7JJ(#d~LbA$6)}3g8e`F{0b`QO5v2i%N3sk8v2W z&s+T*Qt+A>5saEpgg^TTC7n*z)58=Kmz2A1#sO0kk%mT7(<;b zhnH!+-0fOus~u#den1ZUTMx5zM}Q3+1Bjiv~9_V?vG-2|)M%e+*q?1%YUzsVdZQj}OGOKQC(@ zgQhho|AWI?Ay%7wuq!ht;8ck}EdCi1X?`qkn)J9jR)o|O@2=t3F;vo&TA#o8h1QXO zd8nFByg<9=z!#~(18txP^=|v_b9;Ff860%4KbTOL*IsMeeDOIBjWhhbF2F!iivhPy zojcINyM|~J*)n_g2T%CrrQ98A+$WQsNR9qwvuU7)IxpE4_aHN(XHLJRYFG|su#i0u zD;gbt8)7<5kpc{;%rSMF?5TM72Xtkqu*BD`F{wm}(N-J!v&~6l5{SirE?>xVulC^u zjHz&Py79N~J})MerI2_^k-9VfqDYuy0bHDU$J;#HpR?=gvMTmh4G7INM}zxF;HAgZ zH!rOgCW!Wr8eFYBZ+jg2=Q_hWefMV>Y?^US#{wCX43ev3yJ88M zIKI1l?^|c6Q%plx(`~DS0CXwwR*JaRGmfex<-$^oi$wzHXG%aB>~XrE3V!80h*pS5 zF-8P4lmVBFf;SC;!-f!@Zke9Ctk``KWG-KUYi0znptrV$?T%lGt6gSi)sdsyX4qI8 zp0%NbZ>bDd9*;zZFtG)dX1RXQH}^Llgh~0+ zeD0VJoNUc^COYasAHn8(_j`_*O!rW+)MH0OVdP(;qhvYcKt3sn6{ocGcfSwLxEx$( zOp-FH24>UKMaWcR{2%sJ)=dg)!j-@>el6lX0!H}m_u9O#d1F!phs-dfveKkOBEJw& z29iS4?(yR#J1}#Q!BB2!>o8tICRLAg>8WSbRbSZR1opz*pF0TYd{hdAvifR>+-l`? zHm(H?nD+PT*dK>(xMN}8`uDy%M0Q_$KTJ=mN#0?9gV%H=L6u`V75j|_Wj=^|GNTiA zS-oj6A5K1a6;lL1Y&4(-cU7~gnO=gCl?A1#L#?mkrgWYih=f&&CyJQHxLjyN@a*kR zcTZB^H`rS>I5DkGXl9_mX%`*jB$qY>veTATPf}4H{0iK}`l@c~D4rHQ$50XlAH>6g z8!p?N`RYAC?Yj!ynuK}c#@$rS0~*=q86*=v3<@aUwr=_y%1&{;^*6b#V6u>OvQ37X zT7dCinD#Y^2%_SO(9Bq(PoHTjLr)A}ShnXq8mLyN+LatxLjO@dbkWiP`GmtWg-w)` z7Dwp^=Dnc9L)ji*peGe$!5$;FH$$m^^<$GKpXu|VdHFe2;=-SuZmBi1vC0OF+LwRjejR z(z^*Ac=!AJX<5nMuV1aef_1#SzfhaLm@c z;8(M<@*wESiU*`0&{qvQOry4;oJ^j@eGPMG+HY52)P)rBJvrCKE< zh?ghXFVGoWab;VrN+}%abA{|}Z{Y+!!w6*>@fRoWJ4f2Gb{S-mx_tMKWwf4LVnj8M z_(tu;JZ`uUQtN;DD}R|-!SZrWk3h0?YGKB*ooPM`b-q}GWiHht?4kt?eixx5=^i9` zLrk1tVjM$)#D%&+N4s93Tg0f!XLE>ObYLSQ*9bBj-y?;!lPm!cy*en3@-|0{1}gIH zN^o4M%rm^QEvpL_uIJt(=Yt$y<;jPe6U8~THWwe_#1>WK$mO?emThyokV@{6!jARn zMF8!&t0Y@`cJ6HYnofGNgMzUkY*NUYoK;GUREzc~ugZRQi?4Qj)L!0T0MW@CKox4NDq43FzprT`P`l2|`dbBUATF`C} z9O5O(&ey=Bz?aNtZ^SuH?~zVHS`Ozx`$JKu zA;svh2~&G-HxEFu#(^oC5+!(WAbfk-61}Ba*$jHR+I{0z9?@+5d$foIB&flI{ad$`_t)76;!_RV|cTL0;ffA9g=5|J|Qy*$n{ z$yp{uP=f(f(w8ti(3TgULO>C^Ol)nSSI}X)SI6_olaIXii?vmro1pcREPm||^n|9n ztmytUhC4%aBm|hY5!*49_wr>Vs(PL28dRc=4%+5DLOX&@R&{*jdd3F3n3YA7WN`kh z1I&bmOL+2dIT;df8b(U;W_Qd(h#E58;zAzb4g92)oMTSLI19tMI%zptBvttd33 zWqEu)s~#LEon61n>8l*)$hq|e#Da;EDuKK~A# z%Z`VswR_!X`}NDF>2=)ZO`WW}FL0+mAG`AT%8EQ&@N7q?Jg!*(vMjf<4oa$GEP%Y6 zoec>-h76;0XS**WoTXrtsAbI@A?UN!{@v$a{O#ET!_9mjvunHq;ON8&iZ?xD0XhCjb8NRVqH6M$|R6B;$B{44syX~A_@Ex{fhRqtZw>DZhK%bma zr3l5OVZGgE%k$VfV>dZwyF(@zmKS`tA!xDTH?S)$m@=V9qF|mp$-`QKuavlG z>%Lu2rWY#r1Gr?pYjTPJkT+k@R7u;O~!Qo_^b(yS4%20jWOqKn@$KIaa0FIc8 z%ju4JVx-L3WD$4zm0+Ww!qGnWosZEqO1F>bt5Yj^^3Ua-3W6i8m%)Gl?h887vLk7{_GWTwiSiIs&)nNwz}X zZ8O^(r%4}E(?{`-yX8Nh_Sn`r-(QMK(0ty*$dd&v^XiWGquf4x$Rx*=2Zfs*I!Vy| zASrv~iX&`sxqr14lN%koj=Cvkmtgbvt~7`{%=y}3Z*~uo$43H1Ap`Bet8RA|Ht4Zi z;-cAriO~;y{~8PUPyVgp0cb~mDzVyWJS;5`tLiNsnme)l>%CDLz)VO4oo$|u+Ulh= z1`rjA1}Iqh-jWv$`_PtkC2&Y*Qx6*7)H}#q_)Z+T_W$-Xzi5Y$Wr9WYiS36G&I8ja zyHKBF=z@wEdP~h;%&76g0TrR=6b@Z2+iX+u%?m91DA=_RR!5x4;UgcuH+X(Tds}(QWSwcLurc-L`|_~^7dilSCYaVi`3p}$#tjBMVx7-#ME}e2s{Wk zTujo6iO8eJ=d)~;gMSDJ*Mqg9X1}>Jif~TbXTXl3O-nPzkos*Qp8T9HW_wvk7U)eT zq_v$>wOiI@p-oK|M}h{J$9nGl#SwUcw30B(%qMmb$~>h6++^0ph4Vy5=t2@T>rf1u zusM@g3u7Ac(yNxdg_CGQQJ^#B3-!8^aL`>@ZRw+J)3-t_cZ?aoS_(tkw@0g+U|2E4 zP4}y(Yc0DfAcQGbV?q6b&wCn7{KmeC%D-NgVGO~%A#P#a!LC_scOhd?xIq(F{zj8; zllnMAt7>&k+zqaL#3@}iJ4vmGco z%>hga=s@|6Gj0$lWFdD%ToWhp&T*5A19eJ!-Q_O=JL*wZ;;J8ZHs)TMS>RlC`a!7e zQaZ(KuAxRoAQ@E4Orqwh75=T3{a$`R zK5>}*iGll;M>{aHm^w9B9CXw*BaZoj6skFVzD(Nm!0L~i2g_SJ^%wtOt2MUNYNf{3 z)W|t3nm!=GZu+C;({qTZ-j0Aqq7wzm^M|RxZ!Lf6VDtw*FlSZ!?hi$0t`CgSc=w0S zrmusz_UzPzA&H0ai*{Q$#tqxSW?|$o#f0?6a zsctAHbk-*28)l&_tw>^hoiBc_=6|TcKeb%joOHH!65wOSw3Ah8G^qI7@U!2WFSMUf zi>w&4hDA7-!u)mog~jzdUC1&!SaHr-rI5S&?l(6>6GWE87QrXO-x!+tL>gs{&Q#H< zhU{TWCkV$L7o3ly&XdeiRe$kwNB-4)@pHqU{oZ`Q`I6$DmKTchk|nd%oUDK6D<6C? zv83v0GES4?uINb~V1rZ-MPz4RiZep|-}J}Um{VadPLob1|MS7Z+5sa?KKEMr!o?43 zyoQ`lUHy#TT77pRAq4QT^{+4^YdX2j(eq6ZmI`?T?CtRFfUwM%f870y4HIBrb*U88 z<5+@X#fD2?dru4E8lrYU&B>I*-I}P^kd*UHxtMX4ydNNSA1ktB`M)X0>=(GM!Igy!sLMcatN9+p0ACp#zOQ0|_QYz9?$y8sOkHuGPBPktAX)h#PLIs+1 zO%y<8Vwo!}k(A?2@(hl8A*y}k<9jUSq@PwQjqX0*A>(q1g!>Y2TS(D9T4dMO~tpNJ79r zJ5eME=J{fO-Ij+o+}4FeD2$S(dB}mNc8nS19z7=FBjMe))Rm@>P9|_E+qNmUllLft zcrXZn(Tp-vK_x!@Dg0Z?OK3k^H4&>Ro!NPEL1f{hZ*63g7WdX3H^J`mLhH{O@tJ~# z`CTD5+%y8+cufn{03rr`QQ`XpH3h=qwDaC#MwqFQ67ksxuLwh#?6T8YAB^NS!?$#4 z6IlVj?RHbL@r-Op{0s5xh;I8^zLi%(8uMszEVp$0eJP)bbKjgMZ|U={LMwUn1G<02 zcQy-s+Opz20%btq?1}7dmJrv`gz&txG3Ov9{7rI87+m+cBGB$QpLJCT@-1J6_s(?p zT}0|&)7NS*zJPDoi{6rK3%4G){~U9GtxNPGATaa?Qdu^ z^D1`W-r1IWF%1~O`g&)N#FHuUXn}sG4As-*zZ2q}L{t#ZyZe$G`_lh#)`p7#L=gde z+&d>z)r+FqF= z7TNTEK2to#Ze;m{@w&%}8y*4;q1h_DP%HSC(^XKy7cd+loG{^+UDDd;6W~C$QO@;``6-@q^}tB^%@%ogxM^`Jky?QQLb|D zT_rUHxO(o|Fy|G6nmMB?DbieP{a3$ik|lwpTtNbd{JIwTYeQ?YB%2ce!;MpmD8~$d zsSg<|)RGC^u{(YKm4cA1Yy|}LeX??IAqBxuvOI4u!kVDPmlC#%qejC>VkXVs@Y^q3rb5d~6^X*AR!fx_KD zjTsnYqUU&02-m{8t#;jVGIAvr1U&Yxr^IkBPi^^@?EBI$Kcesyrxr!dg@M`3oI*uR z!s7_mmwp}5-J~RNP>EKCGLj}s$lwyY+MZ2U(n-p;Y(@k&sm-)gOGTk z9WH$O3whcBkMo9IA#(O*41pifnK`s5m@d2l6Z0~)W~gbzd`Yeri{{XoEaqLdONu!Y zfjD+fXJX%#6D*ub%U%lEJxQdj7tFyzhrL3VW4d=?2Uxhp2m#X_n|!O-pIY{^2}53+ zZt7~$#Nj*X#2zP&Yp4Q5N7~&|DT$pzWXJL-%_>f+A2I`U7)k-`lF3%OoQ`0DozBxC zg`%sCnT>l1bci+-=oqkwv-Hszm(VIHG?t1F<~4L0!z!Lm%(4Qil2s|@Cg>d;P3FDVXx4( zo4B$Aq;Pbn?ahU`MG39_u9Wrs+gZ)b34kW*V*%1d%*ZM(;q3_^Sp~Wcm_5MveJvZ$ z57n@Hn7EcIND@jh_X<@v8>#sTQ+Y%1mtx`VIk}u>oT0Gv-(5BmxJg8&E`{AI-gMa+-Xfu$ zDAZ!dM^eU{^5O}d7y=(og++V{f8_TU?iQq&;V_M@|Li9x5iI)9?no@6 zMjhI3^4)_0d9~kc*ALFJYL6SaoaHwGAEJHB!+*Z|^w7CSULhsr6Q6j`*4n|0E}Nyj zZpy=o2$GVfD;C5*N_K9V`1&w8z^e`q^;G_!tAa11ws9A__k@QgAPhcLyWM#RL3BYf z^`{=BXa#Kd+-7+%Cf>1)iK|1ivUlRfAR{USbgQhZb+xQZtAOTwtabzj5j%!7k<1;0 zWhhW;PMsod8m9_cNs5jU!RS4Ko4O&|>)MG4t%M>kX{cjKUd2?uGFc*sNfT3K(73#_O=;EqGCox9wHskW&Uzu2+mAjr! zz-|&c$z@?aVju#V;Jg-gVw|Aksx(wVq06)BVY(O5 zcz60%)O6R9A)`ObqAfUiqxC8nPg8>q^H9$A#nqu5KYyjEg;Pi-Pl1t>tXp)Qzz76h z0XxLg#+Jgo=5u%5l==AjK&@11ytwQSuJv-XJZ;GvcLb5C;|@Q8Ns;4 zx-%m*kMFq@hAF%qf;SpY8v8@&s5QNHbvNJ6R_IJpjjKnBWF5r3_3O;8@{$OWKkVGN z&I^6+4@|LA4oxXePBP3Im}^7zd;7j)Gh^GYOrmEv>n7XpdFeszjFXA+N3RK{{Nox; zynTiZFfi_ZFT~4&R09K@O@1$~OZ47Dx6P#xjEg^UiQ|-wuOVORURW`HPr;PvUuyDg zy43E%!L|`huGE#D{Mod;#%ON56Rm&!S1+LyUlz%&n+I07Y0Qf-+c&aqedj2eje>|W z`iHEtk^n8@qV9<;C%$xDrJ-N(#ADr^IhYG=gOn#g=R#jy=|w!-l#FX|p5FZn#@pK~ zoaSYz9_&yX>A*pLv$z*+Ahf%zKI)DWq_tW1RW{@9;9u1vA!dvNoljg9sZ&hHH`8fCPWDWco?ThoyM|R!NFNWK$o6}dwFGyZR*%98@R!gbo4;o;r zl4)eZ_0&X;aWoXydHW<-?w7^p!_2zT!~$w?to!4OXqN^Qa#(=iYIblfG`R1Hx4Ku7 z5*r|1(tPJAmwQQq(+kv+AS^B=?GHh8x+`$GDcKb@ypx=}vA05cIx(7ZvZ$8JP8O57 z%E1P9CX^+3ZKp(nqgq4KE^p>SGVz*qB~&MKb%?5q5z>JUGU>QiG|=dVxMt~T#AV#j zX3#}N@00y^KcjPa>8$8wxXbr^)}$ZsS&+86NfgmA1l^HWtx#E#z(4GZeo1bq0~zlt zGaSY;Gl1p5cn5H)=ZX&!*{-dQZT5t@%PEHA^dHTn#Us4dr3e1is?+9%?VgFGG&&2I zox7~~#)QkPmS|B)-?zTo6Ovz-8TAcug3FQzdvl#^BE_z9agj zIF!p@WqHL!s^0C8&>&EzEi`7LxV01YKTUzqW#3~v6!I?pm_z8TIX-gdW9ugTuh;_|`1(LKK zTSDA8b|Rb;}YKK9x@5xAlE zygfjyW>Z;hb>|(_{k_OW&kd7uy@%E_q{OE0epG7A`XR#*k7Q=mW*)t4w*y0j0*|Xs zvD0b|Bf1@$H_V(sU1IxyjXpQE?K@Ss*=Ezv87IT|oVv!wf1Og^V~2Ci%+Ib`@A2_# zbL*RG%eu!%w-hv;?ojJvy3O=7*j}^*LG50?-YUaLY#RHduS1-&_*)fEHbLl^3-Ogc zgoa4ZIJ-L(Za;z=QkOW)e32y!;A`sJhaaISCK@|)aU6nnQ>N*`_ff5ZOis9!oxnov z%Z3W%EuF~FVT>g|mv_?c`cKCDaIZKS^AqhM{_m^xjuEoA6o)g!EDQ`%%}Wv9bMcrU z;utZ}`4kA_gyan&cVP&fHrdg1L;!(B_@9mT#G^@LT}C*a9kbuHb#ZU7lQVN< zOna+nnV%5Ss~qAGusHl4+)%KDY9dP+EO)5;x%E%J`oRZ7_~igRs44u8yaHMcU1C59 zbup&-riV1W>?F!vpa8cwp=Xg#Y#u`5L`3O{V*5X|`CR@npT}HZT!5LT!a91!)2irK z`&%-E8;XdT6D3NEWD)^o!IwfMb;6ir^eLK|%ZP4wO(+~`B$xio3Gq$KItGqGxXl@m z)?UEGGDC#Di5HjN2t*9(ik~ypUq2z0!@JK5@%i5{AGAK989-kL%}XDKf08?d=-5Fz z#;(R|jq2Lfu##bhwMWq%LgGkjF|~CAMWyHIMDr8WB;3Zkd zgi4u>Tlc)Zx7sq4*dNCe3j~qxc&-FM5Hczu5yGLDE2a^WJnEB-mCmqNh7P&+=n(PA zI{lRoJ}ANCnQ=reLyWGKEVS~M67%xl`e+IqJZzN`=ZfaHR&Ef% zPkzp}n1@V(D|-u~Wa z-_jqyDqsFK{`lT!e@FiPZ7KEZW5HjRPeJ52<(FUk-eD}xnY_mTeCj_YC`8N_SO=fxn_UfdfG}(6t%JK2b9iJVrWU((gN)lQ5M)+JU z(iF7&qb%sJN_T!!dZEklOZKpU=;W`=7J_#Jbs4RFJ=YMG_q3IF4w@6Vso0zDD&CH= zv&;_b6awUZyGp10@5#TvGW~l#B-kiS3u<`<-+zbNH(%70zvdz|=Rx!vpivHO(2YSR*eb-bGO zuHP+rlj^w8_2Q*;qDui;2;Vh>k%U{gQp>&u11!5?Y@ILx$YLCv&f#wkM{?}ow=d(v z2mkG`dCWJzGwhk49}fAi4QJq6Iyf!rXh*nDF~W?A5h?)>$e2sMERH;(u77`Z823eN zGWTX@t(Y%o9D?#5b_vC0*1tXBFdU$cfpmv;3`Um|foN0IBkf7+L&l$KvQW+H~X@#i}izcTQwpC1Eiy!t-XKH&_S(McT$dJH$fxCz_tU;<> z-Z}?d0ZHs8fo7;B$bEqmK%7ae$unPkF~4*7FuwbciEAS!Ghkamg30tk<}x0;IKG1q zang(exU>^H0iE-#bgbczli!K;s9ZOaEp@GflDS|?x`>WR8VaFP7`=B`f!G zgz!vI>#u#qcz{v~qaUxTFB^GQDRb4#CVrqAVqzKWt?^+W7{N z4w+i?O&_YM1JwO$kzxe9L$zR1PMaIaT&g8Z${`~hs)dtku6QcFR?VAMi@)61m<@7T zExl^(^-cy-?Wce2N1J~Wr)5Cjh7)OEnzMbjDXX2+bWji&*d9UA4a9#d5L3NY3&v`~ zT?Q8t2bwQm&D7mib?{*D6`Qvf_b!@tk87v9uM#*zwwJ$NgOQyL|H zO8npJis{u-jP3zrR}*j`M_BW$CV0gjqJ@Bkm`P}3jrmmKx5yI(Q6sVFB0 zqGPWX;NX?%87sy^#dtP7?#SK8>G2Yuu5#BE{l%=JHyQFcu_4s$aB)-fvUBE>GwbT5 zUSfUq$L~reb(5{lmp<^vVECOG-6PXRQ8SY0UdSw^`=!(;h3GlW^DBXt+gU?4*bCP z4L=M_#gs^4Sp1=nXeKp%3_K>emD1th_}$JgFK}a+!*nPT6g%UBg5uJMfy50uNv2Shrp1cmd&r z1KHw`Vn&&6KIp5hz!-oeW^QS%7mW21hgdRn%n-NahCaZPRt4;u9rqXELTaZJW=8ol znvYmsq8OD{wUf#A0u@l8HejztN+g79A^U^)*N(pp=bk|@^3C|0`9{NL^0qk@!a%HbN!V~=oIIxXn>ZxeA%lPl zhy~sw1lBhRKHG|POYHru-Ab$m!wfVF5ubuBd9yRu%=-=$<6PiVgh z-3Re{B@!Lo$8c$+b4v8wsrKuWTq^#f3vy}vFo27WR#vd1p7GeM=$SjIC5to6(Z{M=Bo zXld)&G)KN}?D$9{sZ2Uar>w>4M`23KZlCwSTG%>uuKmUq+{{9d5&QDResJa=T>mMa zLy!Ur!GET+ErA#rZ$T$T?7W8Y!ORXVzlU+>b1p4h~z+W=n1I*nsL+A=1Q1Y3rE_af! zu3X7e0lbtN9G?{TsQL9!1XD7 zn5FBEJ%PM+1(`CYZJ2%Dkp$YiY0+w3PR7137e7&rzFe`XvqT~wr3`H zf$mv8hO&;AK*IDFgiu*lYlt%wJN~M9i`LdmHB~xTS4oT1c9N9Gb%PYrY|I%yO8y+< ze2be_cy(J=M~>Zf-PBL~B!P4f2`6s~=BqClzERTAmeg+kI_q(0OZm(Qp4Boqh3 zJH6{F!Z!}CM_9>rk46)Ju}G4T`DM7~`)rE|UH5zY6JjaujQPIS*9emVz5BG!ihqC7 z9|dcC>E(?*PU0|fapTi!m2YvQ){{kXbg>FXrWE4Zn?RV1L!WZ~vMjMno_e}2thur2 z8*^d+T+5h^P6CydJrTH^7|Rz2kpQ=xnpQ5Sb=B54Lsz_5&4b8S;5bf$SmgW+BkMK- z+eAQ0taIk<);sm9WENqHIO0<11*tD-5g7E+HVrfAU53wM6hewd{Qn{fx?w2tJa3QY zM8=tQn8qE(!xjjPYeKq02DT@WPx)O?=b04#GF@vq0pn(Z79O}s6j4w|^GkXlRSq-J zek^djM4P4$Y2FN;Ygw*y?SvQs7RD8Uz2**-sQcZ4ered@jP)@LA7iY<=QZ@bI9-Gx zaZr|hEtz~7cSo^dFQbqY1r33Bk|c?}l+Y#_W*brh(;M1^r@^qvpG=?u)b~>? zr#0gpS~)igRPSKIF)e9ISQ9~6;LDi0b=cSi<>e4vjyXM$A$JidFdG_d15jl$Zo5gz7z|`7mz&*>}uVRAq}5PKBB@C?Z_S3KCB`xty} z(v0Uk**w3t+I;4X(5NtNWL8v~h;V;@O|t*uqJ;h?UQN=F?>@TIh60DSE&9Z7aK@aX z+%+ieADFHSjo4BD6AbhhR#=F^ta zR*3FB*<_L>{S0R<1>(g+krJ1COZ+^nOmBA@l}aDEp|pVK39<_HoI|NyNZFo^`$3Y{ zZ6wB${b0|m|C~U&RNWYB-{TM;CHHfk9psjx@L^gfpg>_UO}Tw23*2IvvuSwM(7v|# zB#0iPG;m@|^CsI&&-+p}U2`e*Q}*J~56NKEo$aaIZ}$V@NHrD-gT#p}D4`7Nvis`# z`#1zUvJT?6%B-QybphJWJxj9R6s5i-5H4$4h>1xMA)*M@pd$1! z#jmcKc9|t&3hbDicH789AmN~{yM&=9k;6_mI0V=e5_~)_{nT5*YEzt zaWiW!@E(cf;CYs00e=xazGAEb6OmM7Az$oC*81J&m>>p>?cRN!cUPSX!I78^NdOA+ z#+EVW?AdKO;C}7j1_^J`@h3n^+=wF*9ws=0=&53LgpI<}a+0h~k8s zeBm`kl<;jp&8$fLNZ=B?;Cf-6GnXl}PUkP_Q|qf={R^@Qj}~BX z2+y_OxPklNT+FDn%Hq=`#fMEJYU5z|^j%zpUTW*JQ5q8fXKuH36ET{)o=5YDu|4CW zV7i!y8Q>YaXrx`G8OCuqr+IB!rV%%!5jUKfc6~8lr|7$cA1bxLrBFAeHrio5?S|{4 zAEP~+R1#2$)IJR5A-)>nXxe4b7)2)*Vvd#*=whz0MZgle!A{NRjv1Yq;XBfLix?xi z*q`}X98c}Uo)<)OGQY_Tw8qn$0=cFec2=34_Xqwswha@2>F4s{v0;D&PU5nX3w&ET zTc&krRk1$_!stT&hodbCcFS$E?H!sq8v*(>--gQFZDRAIt#&`4r6?8O5y_ZLL_&6k z%!GsRd^{IW@&qDP=>?Xk+e>bu6H^FHpo;j+rPMr2fFzjFlsW(UeJ;z9l7jhO7-_R9 zDJYKx5`4*KcmpyVn;P1H7ek;_QB1thGTAO9p0S)1@P^tFA++jS+0Er%A2(5ey>rI` zCb*J1GkDpUv{uRqp%}thD**jGQcR&BJ7R#EkrtV~69X~{=E^0lzE{&X?U@QZ5CPje zAV2~ws_KQct#-DE3eL7Fa6OEv8|c{1H!u|DbntP+G7(YRN`k-5F5s1=Gq%w6ARhW1 zj36l|!;o_Hd*9#=6tm0TEcC`6o^@2elF>wlEHhEyz;)%TU1b%H4CB&?${7qf-8-B} zpZ$;rr;65~(}B}?%9!VZcC+TB`kyRfXfbXPLoOK+GKa!vv4s|-V23i0w+?(EZ=G`q zakMtmEh-+HjjjLt17p`ylo5HYbc}^***5!^(ws_n?mX{_9-BHo6niJD*K~?@n6@+F zy7Sv|xpAaN#NIEq3nW9HlJi+G8wUa5B}VCsp?yU8*}`%Fv9 zN2ZKVA#Kxat0N`#NwLToJ~btoLX)s%d9&>7R_sDEs?%>wl@NNy7D5UYrWtATp((~J z$f*TR3yEe!3)Qya<|p?1y1J@p3XL-pde*j=kjq(T^s})W5Qk_%p3~wdrbNV3ryG!` zS&T?ryJ-bT|2TOS|GUh{VnHclN3Qx|cQwoN=?m$2V2#u#*E_XPs&6t8g6w83NZx*T*cE{JATBcL26!-qbTO)tBUNb04x`; z$27&2z}R+rWzvUMWCstj!(vX+_4wwTm?!HcUl#NQei4L(R)Es1pmVUX9$P;4~qMX&b3t`wn3EsW%j5^%3SNJ7jw%z1Bb5lE`1B0*cFBUNEqaoB;^J~y;5QQx3< z%RtK)c_OQ9Dyud zPv09Ak(e8g`39C`1GusX$U_$-u!vfcD>7f0dP!J}9K49LDN#KWVv5F2kci#ar^mEK z!S7t#-HApriO1m(DPH(a>N?C^Ot;O{QqKx{=I6 zuJ#Gq>uxD}hb)0lq(PTvcS_Do^a*)r>^;p8Mj*w!Sl{~znOG~2NDd9sGdV6rP9r)3sdiX!azP;YOaD(jWzWWXO zSxOG9Uclf{Gz=H^Zu26gUn$&n5xviA=avs3Z7OtFub+j*@1%%Th{E3 zz^)kT5@d4KMhDiIqZu@^>Yu7(*E4|@?^)M0a$Vyk#Xsy&ihE+-4U^#9lF0pCb$~$R z2GYv9a>B(z5Bxo{t|Oiefe^;EAkz}ubexAR9$O~WB@0k=zLSkNPhIwe{ z*{2f}%W@@)>-n7a>5$torUa5P0lez$w$kmqdgHuarga#VAL_8KYnYzdp6MH}TVk5r z*&6=Xvov0qDHDL5$HhRKUWeCp%vH#4Q~S zT#+6Y&>I#p7>BZ4*HSs2EuA+s5DtBzQcb52?UDd3nPJa6AC3bq%z!C?u(UTX?P+Oq zlCfrQJt6K*Mw?#sWitQv?qCM36~em}rd#z{cB=ch2yZvU{VGRSt4xlCG>}|Mzb&bz zvm=)QQltp?M7%P^B4KKF(KjQ95GQ7`t+7fJPWxf1cw>cy?zBj^jVyE!PM6ly;se|_ zh*^O?@yUwd9?TcjZK`D^okT^f-@L1?{Zn>wX?r*nf`F4V)A!H~ao!)RPkS8e>O^KT zq=Sz`Z|4QaQ(BG3)O!>k{QCG1e{ zYzVU9x3bbnB_;KU1?E6TH!GSz2M49%iIA`iwLyyKGCsj9XDfaw@ zCD^+a!9X>4(~71hK5Cb>z3c0`IXmjm#HZS|VgZU+Zyz-^BUBU_WhJ&wuHLMXFb!#P z5pO5)9+E+r)EedybcbsBR!qttNm|=HXKZIHo>4btrqrV}UC0XNb#^cyBh27Qd+~<$ z{Zm=z8~SIU*Mh`Wo;H2kF^?Mti!IS>m+ksk%$C$!_*P3tr)AS@HGZEC0ra3c(1B4v z15f30>6}W24J=E#{Cy0rzvd|T!k#V5BX$H1bu*iu>$buuSXlqjn0AtY+so#ylb<;f zTJ5Tr(s|D6XQ*cK!(J1w%cS?EyZTYhm-@R^dQO`ae1;R>u`^U%`;Y#m{gxQ)T}`_N z`oaUvb%RFcrV9x#^-z;1r#@up!h35`@kO=$2w6TQ@QmQiB<3wK)*V7{Ay-}G|chT5ZtKUGtZ zyzba}tGc1ZRR{;BpekfZ28*;gs&m0`(L;ijgvqG3h|TxQe4Sytmcax_QbVb~488yFZJA9!3-Q zg24doFlqt!H{S>>d9b@vGg{a!wL0_5FFFhL&o3Ov<6N205X;1hsR%d5qf)h}0`q|Dn zHFx&b?a~Z2-_woIv$t#O@Ba7)AIM7>1h9-j2CkE52YM+x+v;e~{4}Adx5P?>sN1xb zNhR*!=eyt8b6Ds*#7^qvv)nn*S(E=*CLKBhK3!dqc7$y2h^XUC#kY z8U{^Dl9|zoI%w^xqQJp1Cj6yj8fcp(>p-=E!gQb%E)?4G-EW9JXkM!d9b8eCJ$>OFk1QE~Ul%QwDaLp%S8_(SasoCJ6clFjtMVpAVa- z#({&L_+iKAn3cXAoyr1JQa}b)|C2*qW=9iIB1zP_=(0fF0F15A><}l93jbd2h+Njw zS6iWRsW>w$1oj?|-FaG5GStW;i#E}gRWanEB&Wa-a;P-@Tk4)CMaDT&9FUY~o95UZ zdLj%{d8E4pPLA2{*>VZ>SsUDxC((#Mw#}}RS9^P!fKAj-u=4FbI~)k(P#IM2PDzYu z*u-MqP4b0P`=&n;rE24eRx*mnq1e)hh*-Y0jz7+v;YW(yIFd_6uQEVmL!pan`QR5oY0qp4$y>6grnM2f9qBvjy+zpDJSVR*t%oZ}IOAyN@RX z9idtv2>dH?zG7IDv5??scl6Ary{s-6_49%*>D`hJ=F+_Rd z^e%cT`GCtu`@vnab24nWO{S6fZ?ZK6wg*gOU7s08u+Lge;UhqUC*Bi~iuv>0U>BSl zeH+TpdCkdu=^c_haz8hV^9>8-i(5=G1D>J;Ne1+V(2k(;B085bx{e zXg8-CCj-Bo9~`=GfDM#ocA^V6^O0!3QOH?`4u6=%UpL^Y2Ifh!+&9>m`;xP*{r>-{ zd$(U{w(UOX93Lm33d$QoJb+4+_Bm_Gd-tyU~Hm2J;#{$ImeuHjNgwe@`9TRl#XqV-Gf6+i`@=y$*@oKkSIbxHKcIZ^tj|X^`Wo%Tuk?=Zk>1ov9oh!=EXtcXu3g{&u|fzdVrpsG8%mV9E=^5Z67l!IdM^V}> zbhPTREL|7=}G%gmH{)GV5TV)WuuN}kCqHVV=9TVT?zvNVoX!6-G- zL3$$R-;)dGat65`=eDJDWg}iEg6PGd?MAtgz{|2x!RJUtrj-AQQfZ{y880c@=4c{E zCA!=%8&k(r?UxO$zu8Zvq8%p$-e}t9*vv-Ir>in*M8)ZCH~VR;v?vZLw|)Mps<$Z9 z`;QdL{g@WBO#OQ*)F)Q5210lKr)zDcsqJVuivlgPS zembd}x!vrXvfa^+IgQ)I4+A^3vm}cmT5AG!Ll;cKU=ETe-7(9#Y;89H+q1|RjHI~C z{fIOgujE@8nwi~(m4!iQzuZwb#rXq!qUIocS$`jf>iGBp%~|T(aVF4e-+uQqBhRgg zl@IaebY7Q^2880G=O&z{MI?4f#Lud4U7EYd~;VmV*ysS+nfex3} zfgIO5rqF6rFdSiw&NvDoHsn)9qY(~+%tXO@_*BuDZ2wx&D-O8YxmV-q@6v352>{Ye z-AwN8&Xv2niD3k$TmiJbx<{f-GKRs+E!&IVmkOq0iN!^iPxdteUvPJb;pcMYuC5b(5B%z? z(AVE`RkaE~jWf?uEN|-4hD{!Wq1z9W&>QuQfA*%A6D8<*36pnR-Cs#B=sV0XN3)tHRs3Rx*36wt0|A${&-ydND*0@0) z;Q<5`pvO(*I=@sUozu4i9$aZJ%u@TwWw+}feiyl`3`oly7D4t3HReV|%G;ZD3-*+@ zMcSXU0e9#-F~l*Kq@Gi<@3ywG91 zEpJy5k+LaA;UB?c+AuW!Hg^uRF5vpaetpl6KXdZUhL#O7Q9QD5_@J$D3~+;D)<8Unz-$)$bKya zcP3dSU(Bs3O)v`*v)vW)OuWcvnVK^jYG7Y?bBihC2M}(S1KuH2dytJZg0X=aX>6xi zw#gz}LlxJ~1>{kI>rZ*ql*(lQJu;15mvOWNSGBuSi0p15mUTCEaVe6O`-LC}9&NG? znZBM263`d3g7{K{<7Pt}A8vzhm&HrW!puOL;^an)O!^q5DFet4KNbN$uBwiWp#KCe zV1CTOQh9ZSZYlT&r=E(ihhMP3F!(0(j?R;#|zE z!wv`*Lyf5TVh@%p^(*C|QgX1`_=`G$!7;5M8`wp_6+*44WceC#oQbW`&$B3Xs(}m! zyJ>;`_>`B`z;%!%Lx4?-_b0%&u}jjH3~MrAXx?f4o)d&~{hmD{Y2VL)cJTfT&(DI+ zQ!RU>^7H$sm+ZG}rZ=^xo6Y-rsfXE%76qpkft%+I3{YX=v1R?$^gKX9^_w`?@hVtn4Z8L1|X8(l~obgH59nudRMxzkXAcb$zFnZ0p0myeH4rrqYD3BFLB#SShpelU&x z*n`(Q9YilD9FsdUli>tcp?ft^8PFJY!$k((Y@Gh7vk06ZaF=z6b$GVTTgDL-_6)RI z?+pFxrr}fYZYcSr&#^X@Zcv>;MDy3buER8i?`ObdsT(lY3jFZx49JwFon)Rt;F>iE zRY#XcQrO?lV1rwFc;nKq-CiZtStK{I@KX(ov((=W8$9j8^eTGz_-*Yla8o=e_Dy#u zi}Xeow36yLahsR_k7bj1L2@UX|CtQ9X6TtKmLJ1_;||Zo8k*WC(1?t5AAFmmnXJKM zoyY?7n`=7>acxvf?$h#GyGL zR%=gP#0L!Mtp@wK%-@%A9bgw}O;|s2Z$Ctjn%+HRN?Z<*S<~iwIKjo@x~wJm=&Jm% z$4fAmN|nynipF^?u|0caPrA#i;@zmWF6C8qeOqzCAgX4Mmr(J<1a>+}}RCpdhJePfO!qmRb* zoV0pivgQsNajNsRT^tqX1?xYs-vImxz*$BMDOpyUlwK-tlzI*h4vTj`9E$#G1mKx* zZ=asZ*P^Bo0+3;20GKLiT@r>YR<|pkhIwNi%42zG80-OnEbVYSj(wx)=B3}i`)38m zW&oXq48Xx`6<5G&F)%n71C8NFvIr;yv90;Ol4Ruih#46pavz-uyUc)4TabNZ0ccic zicFjhKV11>(1>TKX)zObcwTfx&;g|Fr8Px655=x~kxVfEJ~50iIp0IwEmeiep3sSnZ32W+ZmuKK2I z!3Ydid8JsjNKD11!5;eYDg?p|6+3*#s1nI44tyIj>v75ZZ#HXH$A{F~;_S8?KluAnd1+;H}mBg{d+uuxSNz-b7vDvv6j?P<~ z@#j84vqv2jgW7lHXOYEQ;Cu!nRIS1!?%VRj;iMP#*)7hqxjbe8KtifJIxnO-CT)`P zq@(%l`kaX|>8J<_p>v(o3LJJF9^FkCuP?!i-fOYhH(f>R@`3SG1%W*hE_-++IRb?qJL&h{T+L_cgOJZ=1Q7!$M&!C8Qn$Wg5u3 z5JLQf7z6lzA7S_4?wKrNEM3TJ*A{ut>`^sSgHASCJl74f(m`S@Xjv+2#hF1m5uL@q z(OO&M3fbNafOx#GO9(gQDggK7BrE{Etx(?1krgO}l;`1if{Vv9bii_rCKTP{(c5Rl|YSp8^-ubiS!}K*@M$0rJ=5cDj7Dx}kk3F80vn zb7gGTMD7=~X3~FO0FAyubpEz{k6<00G}K8sS;$G-ygTBt@@BG(lEhy)J|%1Nx;Y>S zfc8YPh9-LJF)`^2C~@?K#ZeGKuW$nO$k?Fnm^isnfQf!_OcsyH=2aS#Mq^T6l14W* zhBJ*RS83n$%-1qbt0`M*$slE2MvKp;-&Bj}PA$Ay%OGFROlB;o>8x9#Wxk6oLQ)2z z@~UALy!2yrLhlPFzMa4JPF4wnW&Y}RXP!5;PGG9jnG#cP=sqRqfgy&9Hp3@a`z`Mw{#L%Biaco zN86kcOx1DVfkms_28I_P^QUX=)N?BO|K^E~)`w!vXxz_Dw`WGl@z#|V(#mO_l2RdV zqaqqON zg&r(ms^p`VY)r7rs}nF>01X2ais?FiZMk!gcV*;@L>G@Wvu59=5cA$KbxfxPnfn7H$iKP?5F1 z$Aye*jE<>C+u@Zqvh4tbB4;)>ri%5T{o)pm&DP1rN-_3}Bb*56@F}BI53qB&gP#O2 zY51yonGYvn2TL4v+TsE|M(d#3lz>CUq}q|b+vm=ly6KkyG|iDW9Q8jM8Mya??<@U% z+rrreR*Cto<$BJK|GU5PC%^HF&K_H8&7q>Stu_^JrCY=ZLxA^L-h*k+t{EbKUmOdI zPSrpD#b5v9pa0Dt|N4K;)Lwkx`ha-BuPItOaQ^7`{=Gl>&;Rz1|Jt`d`A_~c6}?GD zET7t&typX2(^4#Se*Cw7|Hpsh@6(X#`TC>JIl`Ol>Cy)7QBf|-896`s)&J;^|Kqou+l=OUi#{Nz`DQnzx?CB^^cw6Fm_K~ z(P6G*&V$QB>i_u*AAi$$9L;bz1^1r19_OF8pD^&2+Tn-<(inJ*J9H|c z&*dh!$tEWQumU6$o*){2^|kRFQ4O27-{SgcI@K*AC86Wy%K_Joq5NoXlDb7`#dW3L zIIc4V(PVDtYfu)xfE_f)jrREa&8MHSjs}{v&3AQo+Yt*V-aaZYx)k$&%v;>Q|>1IzuoIaN;U$YM6=ijBLvG-Ekn zt#}^ZzG-PLbJm4y?xb*oi^I1c)gP>uIXb-SNjEMi39WtA(Pq|89R9b!ZoQWw4Ppkd zhU?wtH9r8ZfwJ!D7`vt;V&|BzZ@wNeVQ_ui=wu1 zYWzYIyx;801A^`AVtCD&26q0AYCOkI57LQa97eyiw;LHI*V!N@7Xdf89;y-XS~8Re zHca7TxSDRW6&ff{)PK4`yS&y24tiu>XUWJiIc?1skiNG$HETsve??pcjWWE(^oLTm?B3@+66`XV0N{f?@Jh{CadHB;aqyGt9 z=+KhA-xZRTtjJHy$_s!jhVjG0%|&ouHiu5=R_h!$`E7d{=lg6!@+b3@b2;bK`&FaX z!rg~*o3|?+Klg}>pT@!M`4^23&hTO=!65&_ynp$?{gt(w>yrAf6l={vE?9Rn=A^-6NXXV^?6rP&t38Z9dp&P65LuhLo>U~VZVBn zp$tX6r(G{w&7p(sa-hwm+t>WJS$FxjyUS1KSz=8>sE8OyYJcf+L=GPI*SW$D%k8$= z(#ZiidW%6BNsg*H8KaRFXwJ;@KtV$antS~=_0zUQm`PUxF01HrCgB3AM&Bq857l$Y zJja#j0drS}!t%2qElnqmXLDJNAIw#3 z2PTHbX@mw?w?~*3915pnjHDwon3|+x)Q&7*O&NQVnrms~Y*3FqT<07k_`e>j2PDIs z47P@L_S!kL9MBPjuEoHcUN$qMBic*yfzbfvB?x`AH*~GBi(<{k8|xE{fDnuWmM1g- zlcQHe2PO^&^}HU;WB82MZk*$!(Vl1{!=n@#EL8A{_Yc^~j+cg!tI9{`GD9UB-Mnfw z%Pv6c$sVuHcmSr_vro;ziGv7*{9kF{bbP3FItFYKuMv2NbQnRn17uh_`)i4cInh)b zj+&8Vx*?Qz_oh7}4tjk&Yp?^LR2@^zhgl zgD@&|g3NckuD_N(Q9e&JX0OGWt<4d-wR$5@@MI_S7;{=fzi)9P^Y&}y;qdmmbX3+3 z^pnR#;3@_)#JEw3xC*4|NGF3qH97U``wwgJR69^nK#tDCLf-Cg7iq)9a>jc-%8@Wd zxtBNrcm}yOJny<7*RtN&3zEBEZ{ z9ceM7zFS516KIf{my$sP9D%c=fAcNkiLs1PFTRxQ0FKh-m704m2twIV!))3TbUa+h zJssyi$~K2JNA*vn~%I`z%M%=4r};!$uJXaO6K$AKv9fv(FE6R zG!oM5kyEJQqMHlcyE6Q%!unbc_84`l82JQ)x2Jdtn=yk3O+v; zV;E{<=;3EW=S{NU=GkwWyKQ>Hc`aDZo6nfatU@gh{?)SbF-7-U_e6U~l6`Kmcxj;x z0d7)7N8SEI>LeP_((SE+KxD`^{d8tdmORf%dYoi!Ibd?KFkAr{^KeRzZP#3Kr`g%o zYKiw;U*>3ygY7P_0f>sjEM5t(7i+HGVqNQ=&&+LxhRDzTz=H$})VjeaTTaO9t+eYa zcxf)160sRY%`9`%yjAMdzH?`4cf)#I{J3&-M22ggIA{&8ul8)KDaIxX z)E+agKQMY}W*Q@X90Gb&%OpRqvFLc$OLA4@E#I5fWcJNwhEmkc_gaiZ=sUcJ=d+9e zV~&1o7`FRMzdr(~_s-}(SG0Dx(beAbF~#{7?+m6^>-@fW!G7+^5YM;lt_+UgSAN^m zJ^NGux)MiMV{rVsT?iOc`lxw?9EWu0!IU4$W&he1aSmvK?^`b zC9`zWd9o31%C96OCIFdn5Lkgz$;oodcN>gvhx-l1L|xa!NK2)?$l z4@L_s68KYuDwmy+f({KXO!CyiE5oH~XbZ>Qc9gt)T_7(3)vgEM*E231u~+M>6IG_o z06z?zNL*&+O&y6~Uk}*FbSl>72Og~v79%|ZDy1FD*C{(!+`@wE`4>mw~>_mtydnY-5%ZufNRQIB(Yj{k zPt2B(LMYE_0am1CoDSk585wV5QV1+919N(FoU(GD1{(=qLv%{;M_@#SDWYgm^&uVG z3YOY)z0M_c2?sOmKjR;ixlKEd_VfK((CIz7jR6J$;#r;^oq5395qDx;Lw#CZ>i3R9 zcBM7Er2%{qv?N+)B{H7=cRH0IK$llOT14Q1{DK(!NwdatYZw)iYzeq@;bb&w|9EG1`KIN&!Un?}H)Mc)!kV4~&1%~U!K)%<{e*_2|L~$&%Mpgbz4x@& z2 z7h5a@P5me#Jlo=2_DD(QEg~wAGL)2>@#9gP+Yme012AJ_YK;Urp0UhOnl493!dV^e zt-mPL#~a{D)Qa)eob2EVq_G6f1kW`-8-K^bZh>3(kOOgU-#k4z@NM+TP^ADpK*GNr z>>XJ!8LeCIfKU{3Jj}`qsKq0iDs9Ie@#^URS{~Q=`dmOX36!Xh&?FaY7mFr9Kn{ee z39sQcdp}OgFmRALSAT^tF^C2kM7>q$qlcU`SuS{}K3*_vR7rs=h3pc}j()NX*=~Uq zF-!zrq4v)laQPL3i@^O(MVpX3*N|*I))P|REFZ31;3_8|HNf5s43I@(gFpnOu>Q&q zMKH~1j-_fnsClMs^Ua=S%?`Y!h;7fPF&xHQLfqE7Fj%Dlgz5K~W|b#c&sfjE&4<&i zJl~LDG&7^fu2SlFM!L4I)EEZZ4 zYyH=@_IZ24kpz3$4K1|ukzE2U+{bRRN@1Cu_GJb8ZFlBw{n}R44g$c}IkZb-F`Czk z#654)MI$m!X^03Z1?@t0QwbaN332^2+Xr?jTegmy(a1K+6vivEyJBbC3_GkYXF>HD z%f#+zOAV=)Od2A06(uxg7>7rY?Y~y{+D!eS@usvm4ZUy_r;~1siljoQQdHQ}zgF1f z6Rf*xkq>L48J7hdXoYab`p~hW7iPL417mw!_75rWLeEe@W)|C)K%CRe=4gr>k#X7w z^tf!%WR*qXq$LVhv1|RC-_u-w3X7eQ9Go8xh}Ng|4Tl7fT`F!rAaqzK+ap7j?C3|V za}2RaM^ zMaYrX%qgp2ELkiiOI+q;M~QT@7f$EhN*Sk-QHgBKHn9CMc_PVEjt};boU4+#s+3S4 z8tPL?58iKoUXc39ieh9^Q)#`8 zU58Li6%HjK`Y#BxbfiDb{6Hlo%@6hokHu6tjzFZ;-XkKpDYfrQ>WIs+#Xt5wuzu!e z)j{rsPEH)+$4~_vySObjCHn_Yh_a4E*IDX0RGagBV!^X*-!^1B2=)a|m{IBkJS;KT z_~BTI24mtt9s4Sp$wTMRDFb$km*SZ(h;PY8?4XCuQ;tf(os5%P!U+Hfs%9t!_%*pB zo8FSm#>5`;`q9R_FUsRs<^;!f5lt7O0FP6$Qe=}yY^-w-;*IsDyuXmwEw760MbuzU z=-!mY`+U`q3EXgN-|48(yD1ziQiV27+7S z{#0eT8W=lH*E!2F#6sN^o(2UoI8R5HskNgxRnpl~Ix^CW{Ox*2H>HzV-T`~iL2fK~ z5@xXov&;8Pcp7B!yw4)l>yR&u!B11vyM8ZE zN;KV%<$DAf%bse@A=mUky+Bbdxh^cW=teSy>CaU@ z;O2^~pMmTWI+ySblZ7zw(+N1=9H7csQx-IH?uvl9OqT|4M_8LkL0KahGJbT@cXYaW zz&%j&Xs7R}#UJ?j;n88qw_gQe%;q9RjV(b>=M+x-4z3>4A3DUiexLp+b!vrhZdyBb_+s~s z0D2K`=n(*$r$S`bzx3z7^PRduYUMhhe_>}9GQ4Qe3GcX!7_xS;ap2=qkpmB9%Y3Ez zrdM3#W+=TxBo7_jbk2zIegIhw74*@fbByP#iw#(jKwCs(?5WqhzT?dfoF9N?2AKV- zd1AgB0TJJj9FrPcv2_4!fOkOXkG)TzjXu~1VP?i*?|XV%c$mbPJ&bA zerWkE{gzfTcGHZhd3Jk*>9q|Y8mbNTj8jzQtB_lFd0T^XTiAE(*Y%})EzaPn+!h@J z+lbb#>R`X*R1oF}I>P6UOzeF(*m4PtLw+$qON3)iWb~&N znNhUm?%@H9I|Z9QY^gu@Lae0GQ$E~M-GH2*%i2K67+Z^uyi^~bPUHb?H=o(B=q(d^ z!)PU+v<7remsWa`peHUm?o%by5giS@_F1o+88DfXSpX0~AB@)05yPlQ>RTDSgR1xZuCl>j$uOf`?u?5_kC-w_38CoBa@b7HxKL5arveS#cLbhiRf_oi2l4 z@5)ngX^i5E!*!^Ee$d(QUZd$HC$vjm_V9)LSjXm#w7B@(buo%cETCqYzq zLO?v+^YupskJC0Zm_FR*JU~?x=v4k7vS13sP{_AxTy8&Q3S4ys2QZ5MbgG1(SvXDs z)c=SfbO2reNDcP0_P?G`lm!!#0V|3SGlHq2azy%N%i;-zWe5bKb?0&x4tBGyy+#L@|j*o3A$VCN6r9*nmi7EV0c$={1GvQAy6D?n@rqYcmD zAPJy`M%&X7#EXe5$9l;`5bco<%)<)_P#K z(wzO|<{+~PFQn4Dd`PDmc|fr3uxn1BCjRt}p}h^eHkx)(*U~#@6J_u z%-?H8@5>ilVsC7KUXsy>HNjDzfi=rZl034ki+!8Zw%N8|u^8oPui9?rbnv=N0z!qy zs>0!@akc8USY?j)iu6)0v@t8|W;i*`z&nhBE1cZ(Kdq`%Qz;O0&x~b6kbscdOm6y) ziaFUFn5c5y9<`GH?YsOkbK!2`ht%n^@(e3l;Z~uLj*w4Ud^LaK7m@KT1z<0N`4X~M z0&X%u&e0wi73a_`UfM8`C}HB@9Nv4eg_!Ve=#{t7EG6C>XwmsOr1WDTDbyDmKDuyD zUnXXb2M<&gP9KC8?;(tAMK!!C0x8azr^4w&k2>m^HWD18_Egp9l4mHT2q*;^oS`r_ zbP}(QgV&Y5WR{wpK)Pyxt#wr=C=MxU?DP?eiH9570ng~4tHc>4jwmthBT-@jU%rR$ z&{ev4mhLZ%uWpMTmOC}+RQ=TQ#N@Ebxygw$n~E0Lf5`?@4S2bHvPjyRpA{6AWn5W7O@*~F{ieq9?cSCop9rt_pIJlNP@%KD?4 zW5rY5(Giwbo2BNAlSU5MDEkCdxFEqQUyG&UWJ(=72&tpgPs8i$#eQYF+~wF}^@(c= zWU44@h5^$JO=(DT!U-`M0wm<;t8HE_dzg%gv3_G>>J?B}SDpASkV(VND$*92k@jC8 zn@C7H1h&7Eh?-58+mZb>&}hEK&hb*_!UoNMjO35yQ-k;{5Ztv*`F{T0scSmrU|c0eQz?+}7x)_tMK3)^J2|>kaTz2uOkYk23W<ncfPBaM}B?gHF66p=gjmU;>#yc$y@cy1_*E8qYWQIzm}rb3itNq?}|xa|~EnY$~+oVTG$-bAG|0!@rL|gSiKwh}GNg)VA1R zTr4~=dEmeB@Gi?vq2m0!souU-Njy#h$Vw{%F8$lLeYruff1B^#exE~VP;exqlO3a` z;$anN>j*!6eftq;ueo(RfXO<{Ip)#!#9)l#xHnM;?&-K;tLQTR+!ky2*>t$+5Pw+X z1xW7xs4Fxk6FW>fXWQf0OZbyKH2tG_=w}Bz013%vL7{@UB$Pu@UFAC**^R*V*LVbVtl{=s$sJo9d9{M5px%Vr0ZxvtOsye z!V9V_X7HW>xDrGGg)o)Dzm;dM=UJO3-|S@u9FMp!rgHG(CDPesGx3A#|F2V7>?Z+& z$<8sNW?e?iP+_H>BSCwi#l}d*QGm|$wE!e&QCyYcEj+Rm%>eCKMP(}YP362&gp9Y_ z(;WGsO=Ib)G!PeE#se|}gaPjhK;FRWayTa=3=zOKGa0;JnYb7p*x|9lS@~g)=%iz_ zFNZDgE@qL?iNv2ze@L+^23#M?XaAaS=`2r{xnq*`%z@6lTI!3#q(cdGc3^{G>nnrp8-JpoO0 zB&C5aYG}RW0FdR21)9K{gM0}wS|62p5C%>oJoF1pBm5!2h#Qn5989G}Z-tJVOlSC;l9-vH?x$8lW;-})E7r#*#n z!vz<&PjD7S_yg|5Ukc^PNPFCt;iL<;-jrjrazbu#z25NwOeQCHWrAZ$cQ03r`qhw*?JX6O~mSqi};^GM;-q6fUgSFTyDhMri?SlLiY!&14ByQ__H1X1tFmepsY?F+qY=iY;uztf57X6;VjzYd zFEpBur#%qO#29h%H3GE@Ben~sRq6?K!fE*v87^ z5pOX)`(dJCs^ZKqD(u;9VTmTg9{nPS^4;sDc7Pazit>AKS+8lLTR=mIvXS?K4s_Ka zziOD{V8KF9Lx*jE4j?y(E1C~2jp}F72n-R>FFPE!wZzQM#?X-_JTA^;Aktb07j!8H zQ#hX6vGsr=Q0`E1PW*3Je~LTf_ocu9;HmlTH;-jwZ%W3yq4ge|ru2ynkfKDS%iA|E zMGibeWs<=COnGVl1>&_3N^{e_t+2)5(2U`Su&I*l5v1Nt7mj zlXzCBvbm(Vr;k4^`)7xx`RyhQ1;BBX=OR&TH<-zY=r!vA(1B z$*D%@vUOe}zF$^pG5|rO?%>O>`0KAEf!1rhvF#e>`I;sZ;}C$ui_9eiZ39Y#7C1bj zsgOp84Hm?Gk+pPpf-h${Kr10b2}%IZWFIZcau9X!b?EHv59s7T!_tx80po=j$B(YZ z3vHXcKs*fnqZs*U7gU24nN6L*B<$lFu>_G@%5sv4S5y)*q~ zu4qTr6JqPhV(j3msDn?(NlYj4-I)WR%$?XbfMFfrhHq&f!fJWd*e__Js}=WU=+s(^ zkHFoV)O~2BEo~6BJ>hArID%kr90wA^grT)AoX~h}z95X|1=rIz<_OvTO7NM{-6nN= zw)Qy)XhO(G09?&*pST>ps_Rd{VPKO9#Sz{Qxr+LJSU+m~JNSr{wOkdlS0|m8*h9nV z+7hpsWGKt;G#|*anA?_Gl)bvpr9k2 zI8=#wMZ`zkWg4I7nFPYplV(MG;7*820>ZO2=PS+Xg`fzIG<103x&`Q*o)641f z$y55DinZ-4#utPHsBjrzK3&c8oc0YX*O8RZF5wZ*xpyS!H_oh$L*j^*)1>WUx zNE0D2%i_w2j4=7bT*8;0$x38 zf}`6q7x~@49*TTJ;>9`|(`1!3KWD0JxPbQp1-yVmoSEoWLwlZYNT#D?dS`0IV-bM{ z>yPQPMJq2;^Kcvs_RoOxP~zweS_1~T6tD4FI5G2J>bD|*1KLOD;L)*nl_hRBIxeuY z$`RzPj2c8H@I@!4BYM0Fd?PX6DAO-_yFD`fw166D0XlsLt0YOgk@=0?K~7ckvZXEN zOM5-wx{c1%kuHw+j>9qI#lyY8guWI#@k|wlJ1vDk+8|lEiPud;bsrK4A>gipAY~j! zv@pZy31sKQkE<{Y;Q6Ur>s{opvNSN{T*{|lbYcx@J*KAydl!HtGU}XlQIU1peOQ1R z43W=%M)lV;e*84B14ESD^PqTLZvF0e<+j=OoP4*_NFE+8@QNK!3-QyUvjiO``i6b= z5%{}qXg5QgBp!|e*Et;UVtQ~g2272egae2|YfoSN;WuU597=>ma#UpKbi?s-AhZ2M z{ploljz|J0_1SgN+H?o|1>S@qzXJv_l)vV?wpcstU>Un`p&^;r+OEkmxG>0X2RccH z1dRaLLgS50pS8WF^S%~h6xqnyU-;lazx2&e!IvxHP^t+28UxuyMb|tbSUwQ$BNn7R0kDl- z7@3@=7aGyjpzWdE7~b3L-^S_Av@2Hya{*^&I>r15*H9Vb9Dw99RU=@*87FtHnk)*S z^3GClm9A8c?Ag$(eu&~n=L8%{KsgB?ae_BPFPeySLf;xq_=Jg?qvX+WD9Y4GTnT+!KzOu2_RWE*e`7%4I- z(;JFLp5=g>Eu(sAl4viHvf@P=R3IH&ONN7`or=$R_Vy}s|AL3JZP&E+OG>*Ft)lIT z&V#=Gz~}E4&#o8&?>r}5(O2*7U=_K}e$ql`r1A+wolui%>F|~s_gYQJ&%~rA2qG1B zHCN<*Oc8!KofYzu7m}jXR1}W#x`yEmMM2CZ0zu=Sm7n&zdAhIm;O_ z$ChV2jEY^&&mo=o^3tA+Xv4G3xaJH}90WK-7_X_JmeSZa>Sgn6v(HL^{tbLu!bT^B zF&p(12>xEAS3$+d#B*sO(gNwda`hm6{0fnoeh~Yvp#Ml7k(N2+bqDMjyo&(&{|Py9 zcqoa5Q4j%cWPA(vwb&N)CoTMa>rKOjW6U!$CBl&Qv}6()Tdm0t0Nm-k6V|4Q(5|`qtdivSW}0qLK`e?1MGpcxpUx#7V$N5Yu~laJNpJmygV% zG{&)FHUTiYHdMZ;!CUeP+#@7f7p&sBd8M`6-ggSxI%4*Ee`L)eYL*6S=8}L|A z`_O6c4}bB{yu5ugGV+)TCq=;shL_6FAqmZ%0ZOQm$>r^v>IIY`AbiF&5&n;x1Y+UB zi)i8iIW^4Mum{%X&M`@JIG}GfkP=-oz{`J5$tHFz$zWdL&~Q8QKxoz-LD(*R30n&2 ztz-fr@yL;(I&)Ub`9Mb@OAJjl{YUDlO-{S;|M+)@v9`16!qf;{NdPXEHJ-F~`7jYa z(LW`bSx?1)x3!|IuUKs6WLzfI1u*Mnz7=}%ynU+x!nVU2FGf=f`8SrPaOU6T^GdvK z^MUN>N-YgX;LX9L9!y>)Z#Iv-aYE9r&~ztuPf%=DEl=l7zAj$z1L3N<(e5)=vvec` zB0Z;~;vgpIISlP^#I=8W&8IS3vi(`}1P);G#MoA=J`GNwRWk-e>CAP2vV;b3Wg7(1 zco;k)%!tMwys-<~1IRiCn>Q%z={!KKLgzGw`=vSm&Ncz=f%)hloYa;(-&^FyermcF zs@T-jiM=nJ0G|Hw#I9@06>~Sq20D3^2;;DKE4eX_qfr2U`tVK|fV!zrQa4>#lFscrNsCkD_)T*n=os>>_$*VPHS%C3hU*j0wx+v03cwx<1dD z3=Tok1w&1$P5kZK3K*n73#$xzKts9zxL{`^b%gT)eWx#cS;^b4 zR(PXs$b{^l^O@1;q$yfk@xJLHPQKrd3~FshuzC1}ifHqwh9? zvNjsrG{QG**4w&`X*flCIL)%P3<^-+F$tNz6hDyhf?gT!LtfhoZ5nr0nsCiCI&)?R zSbtq(6Dx?GVT|3~ZvUys#{hbluLw~8QD4+w9;GoT-e-QrAcGxA0xm%qA z>9x{;76cJA-JKt`kKGP92n#370p9&q8jq630r*kk3(26QgXZWG3Afg+fb(NA3N6Yh zL{pUOnpvTSnMWV>NZ>?{0&lSQ4FDqM6*4l318V-8nZS2b7_qNhDCNSC&L8Xi2;aoS zp@TiV5Nte=FIsO*MpH4xZTlXOlU;c{;l+KHlo=tk`?BTxfHi3g>Q4k=zFfPmaxtd# z39wy+SlT|p&EULnryT38-Dd&5=Q}j;X$~tMOlncc7@nOYwK9V=|K6Vil@YCCbZ}(+ zNL)y@<$9n|vmVy$q_V+yui&s^(Td$+=wkpkwfwwL68cYlw_R8I>+$0}1^){d14=S| zzL5rz?6v-M<9j$g>lFO?Mw%miq0{i^3*$M>)C~Qog+4B-)8<&iS|pi1U#C%D-}pux zROM^=e4VBO_P0tSpJ&CypH*eYk4q)ZiN9@5H;b?x3$WFy5540Nt^aawle@=kU&0MB>=+64w113URUyOu2UI*bHLK>Xc>B)^kB`}69!GQT$EK*gI_rWd>% z>Py-S?JGsmDM-_Ny>9y6eqb=gM>-INN#Y1NC<_Mq!XJ@VT>~l>JjKEeDeMQnQGNtv zi0?buBo!{DBr|pNVKK_g^Flg@2^=VkMYqK|*xFLW@DXp+k&?<-icS@I)t8_>0Yw;- zODggdI(E24q)pL;_V_I$=xRK5ezLZF&8aJ@u?LlM5w`;5)$?3=28 zMfl@`FFol8S&~X0YhnLdIOV$T*4~MIv@J zdKe{Y)<)5z6Zs)vp;<5%!RVG?WcDV?nFNu}P)4hFYXqf&LYp(DIG-8<9(yV9*bLcQ zgGkzs{lED5%A+>(U19IllG*sMllS|I&U_o`QWtLdJE7uGUFw6DhN+a5FzLD$j^usN zs4hffz$3G$OfuiQAhSFi;j*}2VmK@P5}yEnr+OJw6)*a`#t@0JkmcMKoo|~ z!(+;&;k#d4QG)WoE~|}w%-@%eAFjMW0p;Kg42LQIotM3HgLi>%`Ob#9YiUR0D;cNm z&UE-@&RdXOge&%<<8ZRBrjwHY&iCF$(K{EY7?+L5mw-ce%*(B#GY_f1Lr_*65CRD9 zOxzX+B=gQCdHCOuNP_6WU4BGZM9ulKaD+LrqNS$0Y)1!Ymi0Wy0*m?pN1X$1CQ1=H z6mS)m3P&p%Hq5|ipAkMuvKdzxL<-%JM(D5w?GqA zmpC-ZW9Nqh9D-2Nx~MvdE-DW2&!XzmI*tg-t}luTvf;as$_tE+%+1&XR&G-&Th#op z+Ah=taB88wM6T%oUduHnO;P$TgyU_P`mvKU85VrFPXp5wp+Jffjh5O~WOo(9m+(}Rl;e`L066(?6x$S*s;cbu+R3RBl(G|4dAReo>16) z9ezq^td!Q(!}+uUh%!7w5lYkMCES+;5_-Xb>t!_Ve5!Kl2p$q}BS%rV-`Sv=QzjlM zKW{6=E-6p3w9_}+i@h$X4QMg!`m)Dq-9uU)=N_3iEHn|$fr}CPXvLw@J~tbV)2x|* zm@L+z8n|GwRsfQ*mX>lUiOphDsXzwooS)v;jw;cN({HKhsd;Y;DWJ`Q@>%qd+Vf%k zB=0+lxv|Ra=i({1tDNH&O@=^+f&JNWi~rF{SrMKt6ff#~yx|~+zxLDk-e|zyXmo?X z;wl~?f~B9(TI$VQZ}hv0f!S}bhYiBj#eqUrc_${j8m|1;PdO0~aNxZO$TZyTjb0aU zDTUk4ARG9gEbn4OrpQB#LMLG~SrqZAYAt z+nfrS;a=Lrwa{|7C8S}!YZ$S6r`&2%vBu*lh7Z1P2qs!^ge4fG`73d<%4l@Z31jA1 z6W(ch)x$oQk-7d1XPl2UOAx8Cn0hW;_$SG+kP9!PO8JhlP|9xnb2lETSy|Kn;P(#P z-(5cWgOM#2M`Ufok6&Z3s8YsP-ai2wzchB^l+Hc>`adscRfa=XUZz-ldv?bc)JOhK z{heQBJKweW_$gb%b$gdJsWKeD}lPc|C z7hYp{(*cAWn1{sQ62I}!2U@khfVmX=aia1`bv_+pU7HE%cj*&R(5su%%GV)NiO)*O7rXfYBBU zxvE@($^}WpxyetJTO22D99i1Kf?p?87IJJ@7o-obnl#=D=Ztk}w>K+8DP$S> z8yk#fHRVw%FjT$5;x&#RL2gw8n+g6ZKXvy+Srm>9=8g4W6am0v+rpusYGKTwFKux9 zIleL6Vn59o)(}6(46s>_8ALjRC-@$)i$YZiCYHnt>Oh7AWjJgO7a-eEGf3M+^R|Ht zr&c`nvmB!o&Ij!|rA9aASZv|o=#})rnIfilMr?F-1z&cMn#goBx85u<|LCOx! zAY^vyuGS-ptTQiyLhgWiG%z`G?9N z%MvfL7RH|14z&58EL@qP)1T)xiS)>$!&Zcr;veINLw3rnp)#G#Dc_V&w7Sf?MHqyS zMVBvf30H~WsM5xk@xZ3NB@XR}B;*m`XCW@OZ*b1bQuWYRdi_k)DwLSpKS%k=+aeg3_mW|^$c}H`@p(^;ZMcXfc)w!(6{dCpg&6qvPVSs z)486Gol8M^Vg)ZO+W_czE;22tr`uspvac3s91dZpJhJRi!q&OKE zTk*a$rLrPE%F{WCQ65YQbro{N_3)U+iiJ9uPNs^6a4xj`Qn9^~jj>*Lpy=i^`o3A? zTR27FQ5_76bul1iuUb&~V~~k24gpQEzitUS5bv3Z_Jwx>I82(UEhYolT2sji|= z;07oTI4O{QZuh{+Eti>ciZo6oh^10mXD|Jf(?&lVV1!-^U+y=ov z{j#(O=CGR|)PSV9N-IYO#P99N{JyY@TfsHF(D*`t7vh&hiVoj!z{P=~&FSm{H^HIG zMM8DkW>ccphmwu}G!+Jzzc?r`-|6LQOpkxw4ww_WmP}Y$WDw~43h?{xly8>xF}`3N zaKKp<7t5lv1&;PO7pSl{1bcQ0@kve_vPxLn;)SWYGDrp0S@-~LnAPY z^0C$S1%Gr>Cz>l;(|9auW~MTP+1F-lY0&TtExeRtC!34!n(hf{XDz{Qi_H^LR&!7B zThP1?)B@7)s#R&Lge%OfN%C&joIyVWur;O&)#7s@V$tb}% z)D|FQ1-(o4F`> z-X1$GsZ*IfP@H)}MQ}Tx3AW9)mP`S<#^=E0)KgLBR{{A&crQo%X7 zsi1k!*U%GAAHY8sDyYENR@A%|2~!8@K8=GJZprT*JoC<#Y+)H}z@&mvJbAs&+we%^ zo94Ayo(SvGT-T0YcgBT8OU)XlDCe_G?u})o;uR`hCEtt z%Q1tdEpO%9=?iT{`;AkE?7d=dHcsA0I>tBe5qyr1oY;$B?CpnA>)>EY9nMq-aVm-9 zDRD3*j_0bQELN(M=!WWmQy+(_FP~}ul)@2h1~CU}(R_ zAXul^#Zs8HX8W}k$P(=ZeaMSZC$01E77{OJ{d)-vCeoA$ZS#?}6t6O5WwTLE1LB&u$R&Vy$WWrIUWn z9Iv_E<=cH;y?rBau^^0~PUrB*z68WJe2kk8@nJbE$EIT?RBkA>`PswSz=-1xu#e3J z0iNwH?*K4Nx&nC{aff|U4{q|Dqa(+YE+dNwMfsM=u zkT&GPTB3&wBlj{L$(XwY63}W-E%=IiXS;s;(c5n?8Y6;yfs9}-k zv7q1hUdp%MMyys&&4c25GR!`uMaC9B<&D5dA||#+wdxo<$0#N{DfqxjShOe;&yqabPA`0+4*YzNo zw)ZqjEyYAYrqH=4N~bFrHyfd$&ZgLsodi#pGk`YvilDvF3B=+nJEju+JR!V4(vtjn zLL7pVIOq1zd{C$aBKHv}|4f}LzhB6N+F6SK!Hxg4S{O@$?CtYw{fSyE#aH2mpDV?j zFTv+ZanzarQ7K0Fe$D~8kLb`N6Q1@Z08lDR@qM_S^pu3_aJb8MsfP*35J^vKnY972 zDh&3gvh8|7TI<9;MLf_fp)bJQ*)y$oi~>d@{9H2TD19hsU&jN~kuP@P!6cm>_4!91mu?h{jncT-ZEBdSPW|K4tz{m_FC2ECDA5REOl_bqPd zF!%+|9cZ+`PUk<-5uet!+oItoiB{zc-qc~Ea;)Qd(IaXBr;^`E8{STfh}Nc-5V5PS znK#c7p$s)G1h|u5WUt!hDoJ>i1df@d)0eW<%aAEJH$e*&xZG#j+U1eM$VB7t^%riz zs@#;H(fBSHBl7y7U=1BmhAKdC9MS66LLOwm-q^I@f+U;P$wDWK=)4_TKDavN2=6;_ z=ES)34B^kj^Un!=P=19t9D@?7BMY|ZajgLtT`yxKxC}nUF=)rg49I*d(pZT01DU&( zTv_Np!Ts0?GiD+401wm-WUu8=#;9KP5BTN+t|L52h-87Y6_kMdR|( z9V8A;1W=#n`~-W}bux#!%)l?!sLPI+@5JyZuz4*uwC7dLOMZ~t{YX_MLChUEs$AUv zFNhU|mWOdXRoE!_hTwO~*Y`$HY)Jo~fC-J-n{%`EE7o;g5fB-(j+g^>YbjEYDlpb% zS|40R9?*(j^TVDAB5vrUc6Kt{zoVK(eXEf@PLu#$QzD{;!30s*8W5C!cLIxA{xa;S z$!O`HH<;!(@_miyc%6}}2!SY#+30r?h0btj0q=M#4T|H-!z0X4(Cy{el!~o$^N#_B zI{$|umxk8g`5wbb;1s9arE#-_YmX{FE%_w$ulx+5kc6>cfm_>NH&|) zdlzOqoB2EwfzyT!0r41TvN++@z2OZ1>-}$K*f_&O*+0f~ThK zE;!1ZioOS3(p(|tXUq6-14Am@{cVFgAMjm)GDqAv?-z>Ss%Wix&DD{_xo(If{a)rk zbhx2&-b(Y|MpfMab`>o1A84{Io|raNMBKpjZ~us&|0vrdT-83aRM*L8+CQ&g*UE0l z{~0#h{5S1ZuxZ4*_(~OQ6`G!PNi9{q{n|o&`K=H#+jO9AXj8(O?M`Klsp1byjWA^~DpaYs~9DRyH`TJT7%qz?k@VkbIKqf2;(^7;c7&>)x@=^kb z@#Y`T;M)0^rkrE2%i7MhJnhv3{n{Qem#7Y(ss@)vb4AZX1zav%#lDusrzukIip=xD z%DUmCIXT;=Di%eh)eOK_@)E$UNKLx^v(9GC;U2tnd`>3YQXXjWq%bMl7MlugH@LjO z}E7 zj6+F-;Lj*#EO@0XP&xcsz-+~~GQimPcL+#fs={bQz zQ~Q9x9~HeAdO;Ye>QS%7#=tlcI9MT~lG)P)eVAfYV2=q)#0-eG&;X#Vf;R z07l7@u z(G}3{#jZ{ts`UQU7w|&%fXK{IYGZt_7mb-Hzj{w~Aje$5Ver&R0l-p4_5PdRSr+Hqa%l=)&BG!kts*8#p$40!aV1y~_j zU4d~On4-(x=j%WGX4o80QQ@I=jkw3s22TNv#%@n1m)9AJS#q-hOqQ9LUAH>;8|@Z|W%mkj z$uGkJlnuk7v>BYOVDG~IFhQt=cUynLkyZVlj0~_6llP@P{x0poJ#w!wZF!*4ShhLJ zf|s~sdC7O>2w*6%rT^#W;h*T>lw05;fdQWp$!zw+APm8E#IsomU&EjXP{?^-6cu7v zc`Zl~&gEg9k7Zgb>F758M&LY^lyi%?dVy8peIlU6Cz;8|*YcU*cPI!Bm3ioUVeD`e z<0PD13wvUc%xdnr93VjZtH_61J{`w4I;=2oHDqsBtEQK@WYUQ27!Z`*kma2|ShO4z z_&!#5RuE4iU3Z{XA_cXQh;R}mnUbBt!Mq!?Y_b_8rw&h2S~5g79c6Eh7J#bvSS_j% zQ^rpaIw{iGD19|tgfj-VBQ7;2s~~hUC7n#6T37fd90%(ynk)m*hVQGQC*Bl7wnU-u zB=f1kGL8oFRBI>x6eM;F`NF4>0>z=vVMfNq{*UF&55c9l* z%nXhiF@)1AVJ3W;w--a(q;!rG>2ZL2SFjr<7Ehux&f+XpqT|>G62oU<);%~E)fjd*@Q zQ?<@IOU{m2GeVfmcrnn{Y zGCBcW2O68jKqI;#7defrYm;$Vy(E$9xrVFwGU$8ROP-tJ0V}1W%f11xr38vARMkbR z#95>YgHe>50kiXjNrV?wP=Krl8dONwu-}|cM<*~!xMer?!trC2A#+_zJo4sI-HTdg zQIw((G_D#TBR48F08v1$zr%Sn*Q4VIG!T>~%`CDl@g@T3j0!zTTRl8lZx$-Z{De_h zEPh|8F0~ogz9>`}d1%Ebw0f|Q-b?s0HjN)zdzy?TbxM9K`D{KUF&T*@lUd9rLI<#c z8&yYMYau}CP%cHi0|ZLq$_Q@rQ@PdVwFISX^8-jlRJ~0xKZru<;(fDj4n_UJzKHzT zm42=US`9boIYyXTjEBGvxG@1wSJar(CCWdd6W^NCSrBBheyl5;*A+gt#-&}(l)z0m zJ(&sTrj_7?yQ3eoFv3Zn27Y8cfO5ue?7t*P+q6W{iPNU-3QwWU(-V9rDjF+Wyf0AE zfPBA&3!FyPnZnlDfe@~5FJ(8-G4X*8!;kD)k=Nz1cztOGs`AlU+v^+IJ$c=PV}t0p zVmmOV1;}b21ZMh?s`~)n`?A|VI<&a#04Hy+i-Jz5O+)3P^VS7OKEUM?Y6G~u7YLPd z^0KuBUqcRij~0gjJMwS!gW~bdXyScR8>|dH96HiLXl5GEV^H^>K0u**V|Y#f0-wkW(DML!zfMoC+L=v0!;b z0uX00{sCX&2QXN|i+4@_QAekK2JsdIgNDdomr1@wj*O6ONY>Zb81#&v)2cQpj-N1+ z`l2e=Syv0iO?F^cujAb=7Yna8DNBl#K95eu?-FMk+h{$$c3i|`Ap@K7rthhr{ z4~+^+k2)TIMiYR2me=V38}~vH!QkJa;?T~O+qxql0um&vO*0|`5bS`UFeR2d@Oc|c zih7=zEF(01jAXG zbL%ybrL42KZrM*#qzH5`lr$g5K0-;$UlF$g-TzDubm0H#<;#`y>6(TJOI2>TkXK$M635-A~{B_^XfK z{oK6KU-Dc14gVj1>+tQ+e|z_jzWUv-{`Ob@g?uUU_{-nE70P=&^+n_pIz5eBW1kf~ zV*Zxgo!+;6IDXn@c(UI8^sE0C1^)QmKg7R(_$~9MPjWka`s(lWue>?)iYOx6%q5 zUs}C=Q{>;W-u(=%{mECq@$L^zK7RE(@BR^+#x$6CRa4}*#+J$eZ9I-|%1Zx>96x^d zNALdFyg~0(x2NB~ZuXDwzEB_Wihnjkq930U{a7c8RiYS)PFb=I0VQh`_P4(J7#UC) zf8H82S=rEz+xqf%<4t#;ZLRdnAK(Gp{n=N)OAdeachHEOAG_P9UcUPu)$4cv5U(HQ zJ(TLl{LAm->C5k1YmCv@diN8sp8m#HziZw=Oj=bbMk;!4UG0f6BGrMc zhuLOsk8j?-vF_syRt)`vC7ECSO=N!e3sCuQzWN=sQ67KCykW|>KcFkZefIVZeW2pE zZ*KcM7%XJgPuVX*b63X?hl|f&{pZuq@{G1nE_<{#QZ(DsEmG}@e(jnkdG-r$?>*359Z+*ozWSZI1Y|tdUK7? z7^)bg3U1vOkjv;ix+-lz#yDX~RkTB;8NgI!p1Xc9j+yFT@6tkdX`tdLTE6QBXBdyp zIOhe}r63w&M5qH>FASpD1nSYAU+AEVXr*h7Nz@1_}27OLiG|~0G5DUZ}&r(4* z+8UMIg+@M&rs_V=E=Pe{`YN~MxZV{0arWd$?uV7!TUfq7x1&q^N6EU&p&W}pz5@K! z6^~B&2}cjD;8+s<1fpnZ$zUS`4w{dtNXz>S}=u4Ug05z!%`_9BRVciad92)4ms~ zF=(t-R3xzuwfIaAUN4H=z>rW%iGm8}chtKjJXYlLh$@`fhWI;G-(3?^%^{#PS6{k5 zI$i)Gjv-h&D>&ns%A`E$X75^dk^!>Ixd+yo3Auc=+~L6%$V76{Ep15B9DT7u^hBL<33w1c}vbiGZ{1B6gMB+3GEpzHYyCYrlc>R zndiC1(9|=!FVGzVJvK)(^DUh`Y2>Oph0fyyke_+j=Z!U{I*)JSGG{mr%_!1A7Y9z{ zI?8p(Y;y>7WiGX_g%b|Zk0U$4)TGh2+0h^_mv(|gKtuqnb&-Qoh|jgou$(=LLyXm; zg`rJD91LDVgKlx6$iSKjBYB8D4?Q1j!h*zjQ#Ip5u_t^PHmCwYg9FE)bAZGruM`2B zGmC~Qp=*QD2IF6@*jJ4V8+IhSDc~*g%%6!3_|Q$hBp|Ojyj=_!gCTz#%nXT2L<)f# znA8w`h(3{V!WHWo#6e3mA_zXV>c=(Fw^b*$jyU^s?%07Z;3GsAq9hiPJw!prHsc4L z6B_sC4tW_6g`x_iBZ@T)1j&17<4<3`x4YBSRjI2Ry2Q{aCW3$=jzi`R{@k8iUbLT( zd4s>F*Iw^?WZqz0p1fWBK_P@d-xVkC6=K)&fSZ{5ua(0J3O2&tzYrQr)!k~5%N9q; zRXmsn(al6zJrHS10Sz?jxy}~63DUoKDAjPs)YnJmrGW(4Kj_5R$2tPQml^h|P|O%+ z1RfVaE}L*dM0=9QRVSfCl;v7Xtedz;b7j=LQD`{{qG#T4$-Y%#4?KOpcuOaqq3}SQ z53yII*l$9)J@s^n&{q0Ngr`c(PnDplAu-lYHRx#x>WFy*0U^+(`+W>d14Hg)%mWhZ zD$RO4aGVzS7sI1$bwnp@0NT_RnVU{sfo&{~VCq>U6o zCs-Siu>4bRL<1v&Ni7IuhKYSRRbfg?uF}vQzQgz{wyMNjS0WtQ^vqa^`wFu1+Wans zmr!mxL-VF;Z-;s~-l;=o<597WS8=J3F|V^BvVEHvvZ@B!2-U!BKUKjaG(UImy(tz4 zo_%V+dnz}yMm_R=ec(qf!=t#ma23VISbRgfmdF{swaUu6*HrnMH#A+MycGf$3Sfmb z@4I~1b6nTU9_;n_8B+-OQk6(CbU_*Zj9%oVUGbgxNC zK%R7txL9=CX@^k{sdm{TSO z=UA~Fc}uxLOfgO3l02O=FlN024z_x7$3-;xHi;P% ze8}Qoyeqsu>w2%ft?;xp@ggpu#+|-DU_aQljP1yy&OOw-O-|YU>y+Y7D@b3FnD@XE z#Knvm&KkM25;)4G?!|}!Tr7#`$P*nR-sD#QV8(&DO17upJx_=jm)A0yw?rK*+VqqN zyZ!Q77R~eirme3pqp4!IG<`;p(9crIfBV;7y(%kCwT6f#^c+$@D6;D5syu|`F3;N6 zId?if4wq{EZ5fYaIFAJwn4vzqMnH~vigLrqCOq)CH5l?lkYIR*E{RuF)dv+$dWa4z zkZY8ZWQF-1bMSRrW)fXwIA(Bl=m7}I@qG!QCAgb~1_SfZTt2I{&IFloA<6_jH6F5s z1cB9xc-T{LL16|J;*POue25KcwIk>oFH6=$kIok6Hp5DeDSri{p@qWDclZH$Js5b7RJ3iY%o z*9z}ukwJ?j><|Ym)(!38%hu#=XQTZ`A3Fvu-AXi%hiPC0O$P$~T?h`+U0cl7Wqtl0 zLzn0~Wos8h%&)3V203tDQpMWD=4L%18cm4$R&-}Wn4>D$bhJgl1QUS^8pAH8F-=2p zU_;Gr{xKBfFS z8}w}m#+=H$exF0arV%wpPA+gTO1EBA2h5EAb|vV;pG!3Zf>F&4Uy0D*-#syn>MKKh zGO7n~Hg`e|TKgRo4~ed3Rau(vh|?7-JUWf;m=qPGRQH&|8LW>n!L|4I=}M1gJ3`9(vrlzTt~HO0&v-9yFW7biyd$+jUkP z`rz?XN}P6KU@#_=r`F6&LDO=qj>oaW&)OzQ4Za@4Oxv4KayjQBgQo>tK;wj+Z*TmjczYK9O+i>)C%NOs9$5Hx~JGn+iG2l>OjP^lJIjFR^0;< z-h&nfEk+zYN?Fn2jtVMD^6(-~Ico0Kc;qL0=is*5VcALVp%z(z{s5micD zY)uVx4dPr{rPT^WClg;hE=To7MTuhAZVd8k)f7x0>ovyQ0c(G)*XRf zmgCP?F}<+wt2n_5*2hGnH+R8Nk%;{ah*v9Y@C`_rSI9`apQ?pz39%7xHyA2$XYF#6 zz8-{=zNkV6=pRQ=TPd^_XJeoN%Eaz_xz=-msM`WF<93pwO(wr3!=t zR2*sXl4>JQIk!8M!Sh>_O-Er*5VrKHs)j00-c}6Amu;_dXt(o1i*+oU17m@tdG_`fDfVD&hk2Jg9yS)#v~9-|;}U}G zX_%f3TSEtXYEV1#`17>ej_c5}%vD#$dsI;-G|!a|GF_i%!~?WKs{0RST6d3Yd0Aa! zMSu-V5J(&F7klg1>5Kb3mf2cvGsvZ`IA%4iR7K8kLPw&H3$M^(t zLkbB1J!{?{e_m^PXMI(7y9|={rsKIP))B&y=|F$al)TM1n~WA=Q2DSH$l%)MLKMPM zOYKltBSoSn5EW#m3(`fAcjoK-1%B@sLz1!fI6*$534>xh_{c7((BEZ|<)m#}oc4W@ zOwY&#$g=JrFyvSmGprGiZm?>YIYH7mF|v#cKbMWweU5!Kf26P05~C=mcOGThc$4S* zSR#sJ)bdoJ5^ZH|vI&P=py=p3yRJG^R1Qtp%yS+SFworOoOQITto2mL8YUpSC}hb% zB$kC9VUO#4QCVuL4lN^}NgT3NB|ES&|Hg1AyX_H7&1Gxem|OGKS{4=cVoE3mLF8!9 zyCgm>Q3)So%b5q}&77xZgmwxgH0T;yrP&I!ufxDPVQ?#$m-EmzTubty^foIP*BGA} zdX*MZE;Jo1CI^NnUtmq9ODmE%JeboIB9|w(j7@+cqKkkGeiQHv(N{DAqBHKGeo~2r zuvcLDZY1y}5v)#x8Bivm_X=aa`koO&;@mRCVV%XA03%-!E<5Y%JM)o;^$i6}!1&+( z747q;qZ-K3uf9}giL}9jFu+s$WIeb-staEzsK-yl%$UW7MSgtcTe0dA;#diX?CO^WTF~rv zuT0FpGD2!zg*}n$Y@N<3m(VjwOiENjg$y-LJ&3%Qm~zHcS!4Q`oX=*SOqt;M&K;Zz zd%6pnMJ*1eRc11$|G83|hLuwok+Nl{bp_E}lC!mpw5^`opFny6Mju-+Y2jLc(n&eYdD;H zrhUO^-k{#^Io10XK1usjv2(ps>rB&J$tBL98I1SqHJ!Cpc(!u!nNlUXKB3$ORTFo5=W)YaX4OHn>l^@^q3!nVU5DUC-P2*Hvc*H9{ zepZ@Uvx|>EsfvC$is!rWkhjOr2%{`RMA3E?ZRnj)G#9N z)uUFYp=yqT zdrUiYCec~7^2+Frt!8vze++Ht>zbWxtlFNT#Fvki=8CEw9TCb$OoP4}n(T>@_*@;| zv_u;iRfJx(l|+2dO*?0XwqiFHRT7&D-nY^1dN_VkWRDCIQ>##1dhDngea0|CJp{5C zp6MYfhQBHCHf0qd$UK4ktNIj&k%+*8=SfSuD$As;KlPTLcMJzq$=F5{_oV(26W#SQ_!Y2ryNak>W^ zzIE8;jHpI4h-Rk~(e}|o3ATWk8-a?U(eSj1UulCkw|Lh+w*rF@8Fh>GHfv&?f_A?V zzq+2~8xhZBvRd4Xr4X?URfycEY{=Tu3f!2FC`l+9frgh@@fJ-3*f__EY)c^j?AeHk zv`8-qTRK;XZQ*BRg&`8VbK{?myDcfYg|!l_=DycxQ_gOqX<$Pns)}gXacgCpdh(WbEPi?H_0PCXaL7MZPtYE+R$>y7BFsyngud_ezFYso(ywPDWE+oBd#u zlMI&&kpc2)n-$0~B%%XK7)l~qRjzWz24}EUdgZKQ#cYSYD!g&#=us^>HnJ3Mia6hW z`FkqLQE1V;7=4Q2Bit$frEJu3b=7S$fGWHxf1#>ka4{f#URet%A13fl?;v5Y5ABG1@C zCT0l2KCOb~_d_l?4hNaztBLCwf?+IPRDI$=9H_iGQqgFd_$88;DVkE&_ z3s^0*LZW!)4KFMD)Lg_kBjhGUXEx>ROi9=|4fm$bhp_|6b zrKtiq>Kvh^R&0k=2+3wJkki%m42GoN%YA`P9H`}p;6LtMD&nh=j0L)_Gbjmi`K42H z`C#YFF&$7DtdAJT62KrjRYs>JLpbKaxquc9ShXYN>gE~$%deeG9K@4)Y~(P0p?^*c z9mX%FrVb+W$+Z}!-JStz;scfjv&BDa3fUH(7>5?3;Fd-on=EH!_^Pb12$gZQsmx`^ zd#jR51f(AGP~o*imF^nx4{1z|1XyGWD@|P&)$x7)U{)PXaIGt519E@4&1;i5yVZmI zLBWqG`ay)7oE9V{rvYy=d9@576yg;xe#LwPYj6#5w4o>>_5m~j+}y{Q3QI@=D%z9O z)O_6M*@729O-Jb^TV(}yt0k@bQrRr(m|&c09?3l%Uhi^=7qqF=Wr&J5Mj!6F+VE<; zRB^V%>$(qXCDsGT5zB4tc@}kBIpGZ2`KaQ;CA9VEBba9lwhocJHB~4W#c6f7iBhrV z@cJFis5IjZ|dZ4{uiT@J>Sl&8A=^L=mATlOZJ4QXr*G){^lNhwr^RlWWf|GtJkR%6# z2s{ko(iN>>s0l{31Hllh4gq4+2V+TGJ4`iRE*D}^*E`udek5tIQGTXN*0D+2~TxSccw*;J& z#D1VtFxDt<^QD>C$_n~TSxHQ53jr*KL_4kwG`c-KGZV4BFD!<^sSmQKK>C7w%C-ic zKrzm*5HAQNq@qfeE zmCFoks;ObIvAQq!*8TBkR?;w1XN5lB6R>4#xU*5BbV*Bo%upKrC?mdt;pcrMbZpM= zA)N$NEnCcRxtzDw@s{qfR=}juDd~2}XkZ;i=K!Lo{27~pdUQwn?v(y6hW2efGHzpr z`O9OK@_>OG+<8}0uZrWFj+WhJSIe2$%IX*mFEM5|!H@NVABvb%6Dj`T}zdUp4l zVhC(B@q*Hh5?D@|)PkFCuN4U9W41;wW<4u2@b99)wdN4;G3K?2qgXMeS)UtXBu08% zX4lFM?&e^%_kQ`$3Mb%?Qp$!WqaprV%UwRJl|XrF1iOPrYgen`5#IQ{vY)dcl-SCl z@lSuHH)WxV5i~&U$0*q6S%Q}gaChOQs4ZK@hp+lvYwX-b6W|?GB5@uL#a><<4F&eL zzc}H+Gi1KJw;FhXKy*&PpXN|l%mae$go5Yy0Tm_`qA3N1c6;*L$GS#M7h{x4pUNJM zvJZ&28b;vx21xvXNq(XMp9)jwg%cV(dhNA+e)}T-83#OJqXvZ?Dj#@}Kgw*+`rN_z z3inzkPK$RgDV#M~A^)E)JO%=h4J}*H|EC0;aevJ&2f?%g-erDwFkaG!%gSoev0v(gl6Iv#uPMjzK06IL(6k=gv4MB6C#o%(*`lB zQj!%SK8V+>1T9dOEqyHpLp_RqiTL%LX#6KC)>gHxT1Ws;5Hk@+OSuw4AB(ihx@1t< zlFYnmZ!Jl4@nLssReLbQ*a=#JON2&oXqofS%T%|cjO6rS{<=D-Am(Dm5CX_TfC6HC zM14YJ3SY|PA`_GV_XOA|`D`s`KAq8H1$p(N(=n4dAd)|oi|{5M5jsweUCik?qvD^+ zO9%=cc#n&8TyunY^Hk1|oCz%mx&t@uNfn;T7_rDXxHx5wf5Om{09jY_&Y9PqFvtna z-aZw%`Y410*6R1nTC8a02DmFW#?G0MNXTZ6<9v`*KQi8vkc_A38llq=c|S@r%%bTq zv+W7l_oT$JN8pihxBL=>C|y%{Qn5#eCv}y>5Qzu%Wq8tGlqGReSNl{zB@Frm;B&DuMN3wtyQ|i_P*QQvP)yOAxC@G!E7c0|M__s+9scfmX&oKBi|+gqc^7Y8gAp+EPr!v}YazHKvc2u&1; z!vISNF)wZ*)^>GHxF?>OIKEFyf;%D}Q~pI#&v(t6qS^~eX_X|E6@pWd&#SgO#A#+TMt zqw>5IU;`BiOwNYS-R|vEkomaIA0^^+9&^o7QPVC0QV2YrI^6DUZ{6NVoTCVWe>oho zS_~?orkmND0kw2~Nj4eLnMUubrKxPp*Ig|{Se7VHSReIeo4BNL;WBU4G5<->=*@;N ztH2fz!dG3;wRK*#jS`4?K7Bf775k#Oy2cm;nv-33&!w~AJ6EH9cJK-8{cS^%|&QKcdmwbhMT8 zarUySJo!$`m$p-#SyVLE6-Q^Uo{+`#k6E zD@<1oJZO+Ii{^$qWSRF_uCYnOThjc-B{1U%W;Gb{U5B*{b#V^;{!UZ-)U1>tTX{ph zUsMM+N}{*XO2oA%5UcL&saEYxLFn9-r8AXAGz6%$_gJ2{bd@2;DWtQ+2{8%WKu)Buy{^+Y5~G zaQB|?G)EmCQZkMvD5!SyT(9j-IaQ^_Q{>Hze|;oa2rwTns$=?+b1N+&-JE_aR0;?N zaj`VdlbyZPX${CF4-_0iTE|4Ro-sCA3F#nIwkH-XOxtxQ5`eO5v8|b*(cZ;I%Oet> zfnVIteT9OIY#H|oo`4E`A2UI!%Bvkqqos=E>V*bdqXN#1P5c;d)&%_+z1&ts%KL9y zV+78OfAz0Qwd<9nNc6B^KGy4kyE(z&ZY`{pWwR%w&sY(g%OT+DXv4QhiejJ?MI!5+ zD=Y-kK~Ym>k)DR<)J|HReFteM^w^DBJDZD67eJ?jvaRr%q*B2pnG2nBCUv7n??~me zl@?`RRXM#&s=aFFic09rr^=mo7n(ONh;3y5$z!dT1^xx0K~bD5zKrxuj~zfTx*cYK z$#5~f3Vd0g*T4FHe!y7#`is(lw_w>0JthGeFz6_oO0=FbU00bzXM$X|$a}kZ6}eAb zcpxjp%UJv~f`MX46N>J!8_`!EF!6i*|>^TekH=@?R zg+PX1!;G@0wTsMnDTpDor>{=VjZ@S5uUTX~EmGN}f6XE>X0>Z0#G?kYvh40fx_XZF zCv$!0JzRh=8b=Xk-oF%Ow(q@fDf(nVBr=E^X>1Z|rXCKXPGzaDAD9LDjJ6OX>-SUl z2LoT`Uvp5-v_sNB%A0oU{A=;~qGGN-m=w8gOM7U%SghHk6EQ-5#pMulOO1r<^w2${ zEgSnOshq&>%vIGD8TH`wKF501=A%bVQMLDF*O4cRdash)uT|3j!=t5L-ViWvNh2cS z=|MxKAxXBYvyu^qZkk)Ghd`)mQv>apat@_X!0U_vvs7&vMv1q`D>JR*6*p|`)w%@E zh2cOQb#saJM7_AB#6#glZg3@LG}7=O1tO3H$|_}hpx{A!-h%gh2gyMjs)Hb)WaZQ4 z)PyjE+>p{PVnH+CGTwlNOM&&$q%#GM0UdTAL}TO$q26$-CM?~uqUj$Iy%;}Ppc3QO z@`YNOEvh=^=EX3KPgnJ#1j4=TiCX}XY5+MThTB0HZWdybn~0HPDiO&<|75oBHWFQa zhVDo*=z^)~KiM)@&KSom>J2Qh(Kb{swmb4hPQ0!*=NeT;a~RKI(51cGK^<-P7MR;O zNdgZS78ycFg-adQZbDQG5l(M&n3n5nq`R5}lO z0DL>0gTzIm21F@7EB0OJT*-%``MdXR*C2LzNjw;Hk)_*QG>(R6evg7^au?2qoB!-J z!_rkJGLUaft<*w5TpnoCh;@QEDH1@kc&G&Z`z{QvLOFR57Eug&;!0&CC6R>|9iBJq_+-K;!-FlMzg1m{UAf}BKjpj0#ZZ`^cEqG-&Ct)v zPYvDnp!+Lw&-x3qBgrv144RuUc6}>%%CQ<%4e~DPtQ$IMi;A4`6s**i!6p^z8gmjC zu4>HJ@k1_nH_Rtt<#bBc5x*YLe^4&8{pT(_{saRut{+uM0kB_SXWE>gyNuWck_j#2 z6qe*rgB`|jEAT!ot)3ehYUuytoANQ%vA#IQBR$5e=J>^^0eum@W$89vLC>c(^CA{E zDlD}5qqs%fh2DGB=#0I>7qOVeOyr5Rp!E_jKCRT$3$IPR-~Wch#7Ky}i=A>fD0j^9 zA-N@xpv_J~a?-P@!zyAx3ax09y<0Q*-ykk1tzs6;*ceEA^O^N}4US2A`2ex_jvW>f zR2X8&CMIwlR)J=n(OVNqT%I@E4DX^dFLmL;Id`sW5hPuI%}VLdVCM4xd}f8w znDQpCH=+VDMS#KyY#Vy>agu%fn3a!&!eb(+)pr4%J5Y=&p{$6j6>q`9k5m=e)xK-Z zouIG9E>0A=pqhhf6!~$5=hk+Yx6u3$w8y#Z2xy&EiXQ&HB`QIO%Ifzh8 z0ALIH@0Rx}Vw=cadd0;&en97=dr}O9JvtOhT!?CN&7O1V!ap``V-B)N;8%cueDu?u z$BzMY`#u0K-t(0g^fVYXSe;_x2U>@3q#8(W-w-KBg2K-4Tz)0y>zzO2SC6L{ZI^5g z@{9SSpbcn{}r}Mk@I*66gNCm-O)h{CD_5Qmc-pJtaxb!0mUU>v${DAQFKfi1Ztk<9 zS!)Pi`k^XeaP$K6D9Nz`s$&Cn9B8Ww1q=k?kNC_x!zR%ke>>%RaLdCTN^i-!qn3sV zPdB8Jq2tQ_SDesRi@^p80%2>;JWL@tLd_5FmKO!8cw6F&-Y6)7v$oD|4ebe%&_9sSTzStB`qdJw%y8y zmWJa=$1A|*bU!Dj!jY$&N4pIuHP=URHC0K}6PzskYrL}c}WdvAu4|HfbYXBIX^0@e1YMsiU@QJ~B#Yi~w0dkl4; z3>Bq9?%OIg*RUz0igajV*k3T|mPWJ6^FW!L&|>7a2hDC;xlT22LJ(`e)An&Ku-ixU z`s5M3fsJjb&Y5{>Va}O`++=-v?QKmzC`$8Ef%95@U}6K`X6lZ>yot`+!OC#ErC)X; zV3x~TE)=OQ)c&cI-JaF7=jG0}l%9cQ`)J()2f$}JI zPa15xsusLDJ=J19wiZS`RFJ^%DF!)Ld&s`*A-+ScxStQbYXkU(24LsR_@E#B z*p<=)rnl7Xf;-H~OVzzH;e`-hWI95O9YQpu6^+zve3KN8`wDYQZjQX`Rg0b&FxUF& zWj1-LGUM=kbE|9PHA60{4x=5KbEPKkweI>QCy^SQ3|2IPQR_hu7%GVziF`eBF6Qxh z+np=?m|xTk-N!{F-!**)`3^*PJxm#`=u{bZum|7EYzEgNU7NFVy!RVB?4GmwMDN2X zUsrCtGzZpT-XNx5{oszSk09s$X1alRsDpcRnxT&WpysPFS_#1e;?*V zsw(birFL!EFz9fUvGXE{_~~EmJXS`9Fx<%tIvdkBS4;w}=RxAM zOiHffM<`lL>i?;nXd(@PYoKm0Oof@Ha!W}+fRr-31O=Yd13T1*$`pm@{B(ej5F#~! z6;S`m=%eacU;XC0Km6)9B*^v0?|v+eiz)cW1eTF7R@GS>ZTCa7+a+>jGsF*C#N!qy z2rB}V*D*v(F%>GfM_w>%Rh5s7F3U4b27|{)k#JMZi5yLHE=ZaW`R;OA&CM;Al0_EIPB_!xQkL>6)ayqBx&CFSW?oc3jef*>lH7DC0zbGEEmx_JNh*Og7 zx&^XXC%&I|DJ=@%H{(M{KDiHY0w|r*~(mbZ|=EnX|mg8F4p8pIPIqdqLvb6|kzGKsA!BZjU zx#vDU5&_P6frhTi+zM!iYSTf(ca0@)jq;K>G;xRZp{eS2R5d5`Um#27>D}21U7rFU zx+8Fnzel(UwHb(g9F~G%^AO7;t4C8)w$Vh1Fufra=HT&juGTcTk7ZIt?OGWzzns)= zT4k3kN!?RY=P9be1=Y)>p-LLQM^byH(neR(HpkD?aaxx#W7#t=CsplYaIv#?F;Y8k zFg+=j?tV`supOlM_r9UvF?*P?3y3jeAMdbVxe8-1^dNO@52K%(y5KKD1%|G%*|q#d zML^GvRlNvckVDhg;FRLTGI8^2V5WI^7e#$Y(-X448EY-Z4DV8<116baWTc9QsxpCgZ%;Vp*P z2t`~hFJ0QP_WPx>sdNl<+aNj46dWAiVXX1QdU%6cQ@p7JkZ7aRGR!mGi}x8L*bQ%j z-jG}jN!6RSt7&0AyooF=9rV$k@kYRw#xIlwqiR?G8hSniADK&iBxt-kbP&jj_(3YB z-YTQ=(gQI`KChnMG)U3l9f2Z5wdbJ!)o+Qj zCrYDc3D3UOF}9<2Y;|ldXN{_{1GSWMqOOO(Jw->gc7Cl=nrG37Op#OT?*H^eyfc(Fmy!KoFSKV zP*sa|c2L*{TOA5vjyLuwCO)J4p~G8Cn{cmCi;@a*a1Aj!%`n1ur`*uJEqCxLW=`)z z!ZqGSFXmihMhZmEB=d}!{g*N?@tOxGy#=5cjqS3`kXO%y^L( zxkT`k_^Qws@V>B}ZbGv?| zQQ2lexg14f0Q$D0el8)vt!Z;&&4a)*clm1up|gXCmTYyLh`F0kUqG%UusPk%w+m>! zHxFXbQxq7oxA>q)#k(DpHdLuH#hH##9q~(xahw`6xwlf4kDSYzMyHzo5|zSGlh6d) zDjlpTF%zaW>Z@Ywzpk#0dr=$L`AgM?fvJdW#p|+Z6#}bgfG*nH6`k(V$bX(IwiBHy z;@E#>Y;n|$qN+on>k?el#b#ylzf5hOW=m-G95@XUEa`fL<0;QA3F}=Iu^A9Fh4;;@ zRWRZZ(%Wt@;+W&jSZiI$8!GHrNofwm<@;1)dh=rIyZuYC(P#1O;So3KkJUFpI{IJ! zmtMVsY?V~Qed&P2Ld&KlZJMCsw!|yxeajjO64dO(5mjBTPF@+bcg<)5+wFM0GsZWV z&n@Mxu@#YSfY2w5UW)mjV1;4?#|>4wO;@zJ4jc?|Yum`?Z4w=trdO^2;D2C-^7n>+ zd@cd9sVfZo@OE066PVo0T0xMFX(!!426|MdrK)uDFBo_T(U$cxyf&JU_Lp*Vff}r zkwn_sm~Y>-U;bcsd{br{OE+5kwcTnq_><;BqaUpK9cvrkS9L-=4;l}ax~Y>wxAB?* z7Z>Yp$M}aPJq~GSwTpGUt&29gvlFU_E+wtyhF&f@rFCb8Q1);0w{Os(FaJwOKWtx- zRd3&zG^S4rYt*0i?X-X0X@8ET2wB^|4u{(cMWfUthklSHXe1-`J{&)NWW!|i^jy`0 z%9$2E8#`pU)&M9?&o>I5%5zNET=N8@W=O^3FH}gyNnK3LD-6X)f`H!VU;efj=%08! zDb*G15FJmciRp$To!Yyc4Xr&q5M{e4vQ=GKj5=UqB3ETjLu5i5S0*ud%2ow#z=V;T z``dmrpO-pVgU`INfh?zRqx*SMqFe_NT6V{fL~S89&t_@UYJ|3u{^%z6hUr?ojV$|khgO9a9#?5)-u5}}{ zX3_3VUSE~X=J-d}`KG2{&{oWm~!XW{is`8t#Vba1lO(PSV+86>i9m(9z-b7 z1@Rs>c&eaCuQ_y;qOI+E#8~M;n#-As4jhb=K6d$50HV#o3|m5U)C#)KKkb>*5i?p+ zZQ@vzt4&2;u67;g!{oop*J-J7PVX?#Bz)33{>c2Os|nbCF+Zom!ms_xaCS1BlW0WZ z!Ovq`Ea<(oYzAph*>dkg7M zP8@_Nfe7ln;{6p(Pm^k4ww>U`^#u^Yb<5BR1LiX)OPoMN*d7L;OPOPn^5##K*XAoK z?I=!-5S}6or9qKYSMK8$LFC(YLzHlK&ua}e08y^Dy^vEFs%Bd&FD1wfj~er4UF`r( zK(fCeSji3YnC9sWAFKU?Meg)9w}U6^Uh}qyOIuNx+XIDth{HXbupZN;hOF)*D z@Ob;gC9>>#QG{}4Vf0QStWhh73tii{Euk+*-6*v73A@H0FmtBkfTdq8a2NCP3v6GAA*u~ymZaH&JA6^`NC5j(POIy2J=%D?i$zC1_0~2|Q$|bYEgv*# zl`}K`W8>8;si27ceJG&3R};iB{nt%i)?M*S#upkbL&h8qicrt?0ezf`IN4vTP%{~O zS34hKbJ}g8dX#A_7#?!&p^##;HebhS@0}?yUcPxVcW>pWO@7$4+T$gGxj2|^U^TSq zH+y>x+VUUJ@Gn^!ww3v zp~JX@rU3Xf5*g|tQx`4j>}l|FKWnJ1-EOZp^n^1e=4awf&Pz#MsQq#~d4nVeSlH{D z1*3n<(VP|b)u2JMR3scXcoi=g8`r&q_=oasT|Sn}aKvZlTBD^zKF}mJrcHRLISXM$ z`qq7}$6F*c_C#)?QHEFZ$P)a;41-9I=UeAcQ+R9Qt@p zcml>R*X6sB)sBjn4(2sp31P}QM`5@q({WC1J>zpIv(^u9@an`V<@FI&wz zAcZxcQ=E^n=*g08;*{Ua=fZIBPDh&WyZGhd<&)us^zj59V!C`N@AvB!2nAolw$=I- zNaJVjsSX4)x|mjhtXEm_keyHE^A*KaMPHp=D0)83u80sEelT!7@SkY>sO9ZCuNhE6 zp~)u|Zvr$x%ozuq*@y*Ax5y#UXq1sVcKy6xNkvhapK5Wf^}b%lr08KSJ@0f8iceE( zSg_=xMoq2Y<=H%H?J{3Vi357aw2A1(Q;BD+j-)(4(gQruu#kNtqbC}Pg-c2liGH+# zUarZvc*!LTu3yV^$EoF!c~K9&%M53g!c2@+^=R*k%8gfvgB48{Adno!)kXh_pH{fU-iA~S%82AqL<&|ce-z319J=a33SFmQau0v3E)L+tli zLZu$c`fI#D1seb>zUug@EEd};I!lVSJWnN?d_T%Gc zn=+5Bc+^7~C&L5khSI`AE@%9~c;F6zhQXM1yBYL06gDXLd~FlK zDKKb1#2cgfF>9DjJ`u_(G#Vas$L8A~VD!st5(m7u^Ag^Z}+VBE`R&6sxPbS8vo|Ma5`Qqgq_oo zc);q?^KyKeKc&(&XU(Kx^Ttf?s|^;6WT?m4dFMsD>}k7#t6khz=w z>pOo;eY65%ou5#PG&Ob2C#Wr_rDQw|-3g6>mCn-x$T^!3-q6?YzB!8Bd$Oku6egRt ztsR*FDQGfnFMG0Ani&!#Ye{Dt96GWU)) zL^G8E!Ajil8 zD0TMx+0;fbZO@h`ro$oK`OkCGjA544)v{&S;itZhp3cZAY$M`5(#F(?bXB1dWpY?N z{eJ%QDYC}=yqq(#&zB--MZI2@8UH&&+>6JQ2s=<$OY5O3I^`a~2x~jBI-&tn-56D^{zVZ@uD6JU;>;NAuMmT%+NhL8f&$6n z+3GHNhL{e2F7W@f3CUh3Mb|)9rTyDST~;t2@S@-t{hs(Gd~b*eXeM1v`>@*V&E3n~|wqhAZ&Aas8EaNeGR&-q6oN2`SfzDZE+xnaa6npM}5eepack~v7KF`9SWz#f}E+vIZ6)x zX#ivPEE5kZ{mrs%M+XE}yb<8sD}DcO{YsDfqwkEa1~(E6JgmzqTIQlE+A~Y)&^G_N zDgOj>J~`&!FrCP?{yK&?ZHur9)1ukbg-oyrL!a3qW^)x4<_(cI6v#AMXLm*3iA$YA z0lz5OSA`C_=g2)5_ZCKD&*X?nU6!8Z_WELjkWT?~&u7Rj;p~yU^(_TfXD(*;P|Als1_!wE};mY%KXlb9Usk~xxbCZe&PeS3#aFMeHd2_+81LQce<T*YZYgIsx{eVgvM}!9r<7)(ntlygw7i7DngzW>3veb} z-4TZ9(yK?nAk zML22@FeTuw+IX85OW>Bx;QqE3#b!JfhL{AQ_9WG03GwC`A#qGBNNWtcdm!WQu)zrIj0oJhz@3<>BVV1-@rX5OL_WRg_L=$JnkWxTPOv7+WG3wMM{4D5 zzOCBzfn05f9{JM1&<1S&v^dT=$B3w&D`Q9=YfCW@x5d^E30$Q!Gb_l~KxEa?YsJheLV^PpeqawAr2l z#n61;p(Zd}t0eEB{nT-q$ON6on|Z!19Wdmv&+-iYf?7clz}lgX+H`VfJknlbf z$x3nAzA^8q=P3+DVotZyxA9Je2BzEq^`T2M!<{pfGeoMa<&Icpi>`<*+M&lCBd^%@ z+Mk(QJG=`U3*s!jXzkfw{KilH@GpMjGsgIUPCIuatJ&qmU|hvT{2IDh-Ovr}o>8bl z!7;bq{LUXJ%#it~wks5Dp+FO&=P0mzbL&KR?z9!U4mP$sm(EhpQV7kh>yKLDIIM%O>kyK{oH(o)C+LQ{r^20G zXZM3K8$D#7sqEAgKKa*Py`pn;-mH6Uq^jQ2^03su^F-iA@9DRdLF# ze78@z1q-HGXQ|QFRZ%QD29K~#&#iTQQ$Q_S-XA{)<=UbLK%u0`M~tT`dCahLS`XNY z-#oHh$On;QtdBo@eIIXVJG9O=O{Skw`7(aU^5c&glUig39)^C;M7`)ZT~vE+#3sX! zL71raB`=qcZ`w`On8(lSv1p+VPXC^;O3#)Wj;~9#rkk1~lBo)~zPM~}|<{AEhmULY2uo8c_84z}@=iOuyP!MYYxSY8}I*_dD(t))w*db!3i2YXPg}C znna0O#=`>jg?oDQ6Z6m|*lX?Mx^YQqFqOs)Ro0-$8ku&z}CkAWFky7UPLIZy7NhpM^RaJla zTgl@F!{pFm77#2Kls|n?q?@>9NW5j$Vr2ZNw#L7)0xr>Yd@$8}i3%kLzM{LyOY7|q zia0%hD1WiT8q8;~mL0YLgSW9NNxT zh*j|btwf3gr1?h%(%@`2OAJYle^uB6;msKa@c5(BBybCe5AS00_;Z@zbcFcg+hMVS z<~u0<85RG19=ElL4%*WKJnbN%Q6?Y@Karw511tV2t&&a5Xu-uQ1K-h&XdT8^v5MK( z+kU;;3OMv8vo<7*0vl*038xpdrMx|Uwj}NqmfBUUh;sqrRBG$v57QNTD3x`Huhv*- zd8~~&#X~+WNP1#vAlCsryjs=A&r-c2B{|Ac3lfiB+WSnEw7|l*gu-!Xib-!oMG@yqWoFt)Z81~A4|z2Tf)Rx3T{S(l6;fslgHt~qQmmy=nLCuU#`bvp41N5j#*(u!n{Hj9Hyh~` z-@s2x2)@rAifmIHf4*dwcUzN-UAM>!HKM9wsm#REoPk)Niqchy$ZuFhs|`}4 zv+p%sIeKKrVf(npM!v+RXALh`=6$urD=NnrQW)A_?m*&+ijm;Fj! z<_zqLDViQX;ZN)ogs?lrg>DvxS4C(KYxGprSOaRXh|_+BDWBBzn9jh)3YsT2@@kng z<^(!Ctsa$pfTrAcyA}n~A%^>ze!wb!*jdL)?9*0Qw5oYlv2I@*sMfMDG&6*>c>d3W?M^iUVHpS30~H!O6#u4*yIe=S+cp- zEL2>>*CE|42kABCGrysewh8)HM14GFon9DVm+8?oV9yo=X4NqGO z3QJ{nz-G^)u<0Tp`dbde%r?dV)d~B*w0b4kypaKjA}v0y%p6bH{P~EN7|Znb;{aRc zJR0HBlACmtgYd;odL<+4UdwTTQFKX8z!-CL{9%pBVx3;xAOD~(u&V2AEN4r;NRFQ_ zB}}PG#>D_zbY^Yyw;xw;fAHmRoA`3Tmv~6hJZ5!PY%^8h7Neug(JYL@8l=1S&}>-5 zXPf*av0+8~p1F`!e!-AhF+sh;nS62N`f*z5SxhH=tG@Kf#{fNVkOoN61C#^rstst!T0dZhx}w#o*8=<=m;! z7ZcN8oFp~Hs?pTfE1TLZ)vL0C+*oE?lY4C`&cIt!T_Z>l8_biEDEh}AsrxFsjV7b~^iL`Gfh%=m#Y#@j6iwUVmFZ?T_Jvf^9DhJ-GN z8YOi`mpjUfITdB|p~3>vKyAqg5P><}P(vzv;WXb=O1FqG_1L(S^jq1-mRzsf>F*rt zFy)iR%D3308tj&0pDn(2dv+40VFmG=YkAYjR`NyBQXPSo@Hym0JrW|l0i)WGfbWk# zEQ)^j&G>@%C@J*hWr4MrcLJDpYJP2LwZMC`752(l%|j*BsjU`!#X4IZAg`!$if&b+ z8B5e4Q+fo2kXF1Kml*5AyWH|J#Wzz}nfX%Q{aoH*^gwpSsOh-!>k&lu zG4oD^x)2x0T4r9AisdO4`%czr5j16CrUJTVj4!1M%nhyWf<2T4Ps*?QiG_O?r^i27 zjg{XtKA^WjgNO)^vezu)0)kM3^<}5X((h8XL`FM{>!h+S-)JSY7&Hq>p+o54JE!$; zz5T_P-yiM#DzBPOjHWwvcBn?RISeHvtrvzoc>8l&kJ>xW4`wDyz zJ)QyXu*zkEprH!D)?<=ldHfN@;uOETHnTGQwo+Kurhb>@<(dlM@sA0GYaYL7b8g|Z zEaQfKSX7LK*R|@6l{_BIdj?X2Vu0z=wedaLy3M)rqPj&4VHK6bp4qC}{JY;6e7k!) z9RawyX>PIpmsXFbCq_HV99!_(!05otgXBB4x)DgX4-_P;vbJ%p)-j-$Kp3j``MI@( zJr7m-P(?(a&n#yi&{)DjJ}$XXef2%rc}}F8q-88a@Sb<9=Sd?6Nu6oZ4U$~aWWrEc zo3yTjp_kFh?j@Av0?}IC|o2M`8dhW%6E(fz6R4LylUgcw8ZU#3(A28W!-8mX_m=Z65?Yqwsj7zGaj1R z_cc>&KqT3)pE(fXNq%T~WxS;y*ihZ3nWXqA9%a9v{t>vKTO$lvh@bf=_v&mol%vcT zUeiH$!GXG_;DGJmY6mvysrD?q!9U~Am0C*#r|VkfY1BVz{E2>Fd;`6j5YZAGw|`BD zD0%=gsvQ&@R9Swrhgj_0>|Bey%)Rgk7S%d@nS4&wF}yO1#8 zN+vx)RfCOhzIyc#CkcIpiSoXM;*5>b#M~ze0>e&O>f%X`d>Dz@l9zpA6{?T+CmB>~ z?irE>gRjkuMV#=oxe>vFA}1{sMaA z5^HdQ*^p=);soe0Wbo;yU}BtpdW8Qt{gh+=K2Dcm&wU%O;te)#UfI(;7#mPiYRnaG zXzO^t;d{{*M88wtDD?3(q2L_|L{SBs!sym9ExbNTEMA&6r;oe^DS#a zt0B&hDhtD}@u`O=S?AXNpaNGArjtnoikhu*f%^G?N`yk{s@7NQ6Fys?rwjb(FMjjC;}Bm!QR(*&u)8Z7GOgPD zk~L!Rcy$;`bQ|j&R;fptv1zhJNww~}lnAuhLWU3sF6tQCl;K#OBUa!g1aX4(UrpoB zAf;stTR^{-G+WX}0a7(nT5^m}tVzZVl5NZ`ro5 zY|^$#Qg?*l99KaFSdYK6HA2e{0&4{>(w2+|X%m`#Kv<>=Jxhc75UU89$Rwr4WRrwG zoyjl?A**bf^JWbs=?`YBN;0I;C|!$mG_~$F86ndhpH?*js<$R=(6nGBH4Fj76$5PB zazfQb>h|ZUN8IY(?X{o?dNPt|E8-&ewZIv|53E2o?NLRI?hF38t_|3Mw zCH}gLp{)Z-W^zcp&s7j1hOwuEg@g)~u!RQt%8mNi@0)IyCDun0WV^o7LISsYjDWzq zqg-H8Y2cEHF)B6z+TUdi`{=nC0)jo-)rkbmn>I}RMB=nE{*PaK^-4twPg?At2?ZP4 z4v7EDGOr1gQHasI#!4cTe45j0kMU269P@|aYP`O|a&f+5j9Z?|BsHdD!U!V{^3&C) zCw7(^(!{Ol&+eRWn{gqZ(rgV~x4t#K`CatwaarK7jGTK6@MWxzjfRr2%uPy~B$Z-9 z=g$AOsXSa`o(|AT9tAle-cJe&tVJiagmy$WT79@5qW!Z?Vi9~QjsoSWGA8ZsX`4dZ z$`Xx?RV&>)@7v~-uxe;<7fj2i>$EtwnNW;rUD|D@RS3`6dXZcR2OjyFW&{^27&evF zaQ!p3I)R>$wB~KFbya8W4QE$4J4&s}^3e#4?JnUxa^GgxLz^dsg;reb))lu(o?wfC z`h9)IU>4ZsHH~j7lc??VTI%Mc&*a=~Q!XvSKV=f;8B=G$3yG*YZw%~5|ZKy>JPghgjeU68h#?Qa;>eZ@>3k8Qa z2EU`~yUSVya7VAy5pwQanNo{kG=12y^QFas0*-kK`^mEl%f;#t=)gr4P~f_q}s)1 zygh!xBUS@E=%XHp!@nxhol<0-gHtMZ)KGdLQnh9nMlwW@C7}<>w73dLxUrelZn%s<&Y{Z-1k&A3BDHVCcwI4; zF$h!IxV;us0#okk_i>(ERLRS#=!%X?th`g$v;<9%66TiB7l~`vK?v_j@9J#JFqQ&$ zkRD2GHEs5-Z&{92HH>=1SThg+R9&MpN`iN}fx_`zMMJ456{HQFYpA#D=M&LLwLh+T z0(FmWyHdU2x$3c<$^k(LC6xp~KJjs##aI-OEv5iH$tFha(kNj}*4$bQsUZh!4P@GS zDQ%@_+(R~fU=E-gLLzvkia-8| zcuEhz`eJxA9rQ>Z+KH12HLXLuJ?lF0^_Es{%52EVxU5{~B_l>rURS8?wY>hQ+s72H z^|-C06|g3oLp9;H@@CIoGd!9CWlgh0#U#7wAp7K7NMt>6!8q7rGZB|Kp)8cl)lL`T zSxua`1-iTu$zwSc6JJEvI#io#ebLFb(0PWT z*LrIvb_Lz0qv4!umGKJ0=aQ}~^((Sv`~R``Hb1r`*PYlCNezVSf#J0mMhXeBtDx>u zet$Gz!2g47z#A{}-kWuAzWb54GxJuxTi%eAI13v)5$F7l z9A=+OQR!g72Lw4@-9zsl?+X)^Ug|#BE##KiluiZKOWYa`tNo9^U@k}n|3Nn)$n1s+ zIlJOZHjm2uNuMYs3$g54Jxni&pVj9hofyp*<|P-{IGAwAjlCdBaaNC;xealUXil8p zv$`&MnxVg16f<0Nz(JMyuG#MYMhD&}5Pu-!CAqU%T{w8kgS3(pSI zfVBc?3>yIhYuA%OJAvdqB3BR@>-BtezvWE~0fGnHgiA+KKiBua4j=jA?x zyv(gxF&@{0YKdf^zw?=yFw)=6pIYm()hj9Hm#sesgV)nwLUXQcKKohOO~T{qDDl4nH%DRMxy z{r{KPD*+=9_BjLN_UA@5mKbho@XD=$YX?!B_%QjTQfPNsTp2*qm}(J&nIuIScT&!_|+qL)gA_q(tsW!H6#3yu< zID~yK)d&v6jK3xQL5hVa9cd3Huy0}=+mXe-6DA|cc+ZOvMIL8+0KkdDx~r>R%=CSMRMW14D{(yfKR@y45#O;+uQg5*4D_ZAfjwSVdbUz$ zjfCA_(zU#qJ6;Kf!(h%7=i5$vp2Xqm&#JF6rmFJ8T zf!!m^41dv%c0<*WNo+$=3L)->>bF#m)F@w$SjV*qmy+Y8H|$Vghq2@Pkm;5b&eV6$ z<~6|>M9jJlsf`+@QQ-2_+uZ_m;~H--FPW8oTr8LDj+~VJeF7oG%83Ks==Ts6-I&@; zFeOA=I^jvQ^`H|P9veA95NQh4?keIQ5ocH~>BM$cVfyCz5NBOZ0KV^r9-jnyg2`z{ zGcH~PD^!YI&on|f@`OD>kChP&r#)ZKL{v5z6nNRRB94Y@y43OZr^EA=15TJaSj=uX zz}|50)C_@lFlBo7i##00`OeVOc+TJgQNZ!uUpoVS!f?r)$iGV6b-j4>laCDz40$5g z8>v3gMXf(qxdca=-)QmGvT5k)-x^>9C~6P1Vi!_QL6xLVMTuUflBG1X&dNq2pLzGp zn;0D5cGej|u6esCpTzEWy%WV)YRo*d5|ZYo9t{|QJN4`?#(dcBl7LM(n+M0VeD6U` zhIcgSLfN)h4+l*qGSu|MC_#*NW}A-nEIrX+d~RcEc&B9vS~^3=GBoUXdR^ra;ING< z-{*01*I3=;Xsp4xJX#We52yC)Y}Y2#eL!EZ$43T2A+)=&^8+UE?`d$*EHlyL$XC52 z7ew1>zACC*dvmJsBhD)b!+*k;;(W%li%9U2!A8toyUO@J)0Q^jT>LOz$5 z^fu>qUbE3EFRkSUp9x6nC61Sxs=anG`(ChLcQVD{;YlVs&s6E|G);~8xP~V+TsJXQ z1}G}xXL(owo1-)lM{OH&BO04T!FQEU9cRBn=azX_1y6D-vqGk(wXW*%f_f>^Se%qj*b`bmNT^(4BTpAdK*z1ugfX|B#iw{K>W6et_> za6hCjoP`1=Z_u-HQe<`*h5;;{d{b|Gt0Htk8yz4Z#-PhpKBeRRUWb#ECKSDiwnXvU zL1sf*u%*1NbVg#xY}doyE;HVE)5kNn817x!uWj=&?0Mn4up*7b=fV<{2(va7IaG%@#N7(qJjCtw31FK#zuv$mU+a~IW7%TO(34w0hEFtCBz2d z%T)+l;EBA&^>as<72`RLW2?)<&TEb!5O)(7wu;aj zfH)6HI?Nw9-dfW+#CNX~F8+sIl>Q*h!)QwruZX6#`dsbUX^6$|2qr!OJI7UaQye$r zM0z8Z*ZJ@dksV;e+(2c(WFw>GiY*Nj*$uS0i2pGRbglh7<`DGI#%3OdS{bZq2tctv zL|@aF?sX}(eIB~E>t(s=8;%`oz)|5~;>*y`C9Ff{JK38lRKV^wJ0PCeJo+#sv7M!s zen^a1NP+N|U$tkM0B2adTjR6sso96zj3~lfm&8|Lpllczc1d~zM>`r=1^|1nqv$`+ zBT{>hJ+^~05shg@)f~(L>`{zFXoe>TA0{Um4vJoD!?s{)hagr4v??UzZ+{P={ybcE zEjo@bBaGFW!I6oX>>5E2g(-|)Z@D)0d?&|P&wil&5kW6{Sbknf-au^YGWP+BsTl99t}r{m`3h#`IL3J0Tz53#3u5cPCDM~iyA zxH&xy1{^pUlxDtrdowSVOs#@{GwX6G$@*l5a(_T~->y~L+&)u)*VtG4VMSEPzJ;Nkl3Ov;{ z{;s_C?aO5jLqLxRik!u|?qI6Cfz&kxzg?Hht6YYiXwLSoZ6)B2Ja0fC=p}2bS0$!- z9KQ}~dLz#t)Qs9g|9VRwJN7&cH937>(KQtZmk?-vuvXWmW+2HX2Q@uYb0C-=chlu{ zwq4{oZ%&2BuC@UICIBh@&s%;81%KoXWi8sfM}Qr;+2}QcbRbCv9q>){fq>x{X#8!& zwZOX0DjfW(USi$&kU%i<2J+=QN9<00xjATk7TV5B<#6=luacm?~1$tC&Q0P_Y&AKqy?GmGp zDZ1HlHB4@@1p%L+06WUqn(Gs^vCOv(jsASS$bP=0sg&rEJu7w#rXPU)FHkQc)TdD?CnAl93L@*R%l5)KSOv)H(HB$KkFQOF*c9F#?cJRlGgm9s2LX` zAcIrFHayOzHw0bgxzZ#GJ<;{UMtDa63WTJ(VuLmvM)}w6W{|v>k103v9EWpT6Q(QW zX+GXE_%!F$ac12Rk_mL`MYhX$#R_q(iyazWZX5l$+g8QS%9nFcf`OHR+K|*546+&= zX*iS(bDu-!U6nhYEE-561CDZ>$htCn16`MEF(J##T*90PPA%eRW@5J7*7HUA{GORH zegjgDvq?$GH-0!o+csBqvY)iSNLcC!hWMo*O%uMsI%D=_>)gJcTxw>s3)^n7J1lA(_=RCI=808KY&srJwj_yJ5M>cC6)~<9M!o z%;iy)@}>&g$Q>1$m>i32l4p_iu}v1@F>I(sUg5-Q>emIaKE_zgO?we--kTz= z9~03tI;@Yaak~^GL3>(`2`HFh(#BZV^Maa4dg7W8ZdWOJ+LIEimeB=s!qHc9ep;5R zalv>~NuLMfLvC@h+wYa#wU~K^@r9I6%uv`NCUbH}D``gswf)ZbtOdA#`>g|9Z}cY= zBD~^t6aR2z%uHIbH`s43IjpOE`IrfY-ucb0Gi{8yjw?9HVTiQe%GFs}6;Syrre-&u zs&0DBV|iwsK?&BILI`wo41*W~1kn&>r;}{1GnF4qknG0nxv;_QW_Mf=G0&P(sg>`1 zeYw4t88`_q3;eC*Q<0&thPh7UmfIiR)a6dEMq~55qHTxld~!IgumX9ygMc!epsWZi zWPz7_pU+C>HQ^sEll2O%(Md|p+L5~7hW4zuqJ8KEbQ_vaOd!r>RWf5Z^!}K7|J28k zNo6IMm$z>&F|V)+qnJbwk08A>Ydw58E{suV3N=s^o-uBO2^?Lev%QT4dz!3swqh+ ztj30K+iU7=h}1oFNr% z)+QP;HVZH5!B*zRXbU&<+c#l!5LnaD&8OleSWOmB2sHpU3n_uUpAn#hKb|UeN6jd- z<%)UT5RjGkpKi>Hn=0Ee%{puw?4&wb+JVb_$*{v&!9RDr9O+F}Vvld%oR)O^a0d)C zK_;-ivh5OIm)j@!T4kGgcKa3u(nTB{>xw7_xzS;gldZuIG+V-%~K_5K43|> z=03Q5X-t1}d$ugM69SG@+!gbI2P7Dt+M%a8h*Z(m`4bV0IZBU+ri~tNcyzLBM)y1+ zWKp$X&6rn_asvy3E9~Cc+GIAOI}w8qrd#58(tNANJ8ir5u^=XSm}>QP+0gigWv6AJ zEExAP3ObR86<%lr9IU@a(vAv(Po6Is97l4F9eJA1uItT6Li#3K!Z_y4`Y>lWXN{$c zh2Ow9l50O1doDxMOwgmK%L%bq8X&uSI7ljiwtQVy!%_?Z^JP8n_?Ot4rJ`I?B45P$fHTuGtMyhgR8qMfA}H@t&~XHF7Vj zHDVp<-9zEl%9AE!d8u~q36W4*p0>W<40qNlyDF@4xgj#)L8n7AK~6V*Zm5!qWL{2Z zJlhq+j$M{dq@Hg_(fx7)&R07^FAKy%&V&dA=GkxFv%^5ioRD)Yc~Ir$E(E4#9MJt! z-V!^xXt0;?U%n+QjVq_k%O<5m{g%&)oXL{x&~Ha}r)cv6PLtO`oXmV{-T3q*#QUOi zuxha*__0ddeUgwc=3}*!n}?db*$hQm+K=Kr5u}qHe#)TKAc1@(I&N7PyxUg6mie4k z9J4@AsTjG&)nz&n=z(f?2Z=~mC%3mu|4Qt`hR(;Me@!@`<#w!ZvfY~^^HQ1@S>j@D zMp?7GeX}9rz?#pSbU(+0(`j5P=2El7IqIt5ZFRN15hw^~;pIA08rB%c$)YM=+unZH zx}3n$pTV;4s`5H>!c}+sgRy{ET=ACaMAdRKAqX2R2@sLo$t5@KEyb~+< z+-+RpN1R4(f0D0xMRG`8#&Y|HRZ<@4@01mfZ{J|%_%&E;Ni^cFW(*n;Ee=OjPQV=L zO^&_0T;0Cebpyr<)CqoQ^2az~X2;_ym$yH_$mLx_f9Wb?R5;=DfQr5HDqBtovb|3r z8=-4WJ^{z>>vekEYwWV?ye{g!dF*OhG<0%?$l!+(J2U~kvJK8Ju5(B$8xi4n!yAfr zT5vp_%u6OwpPV#ODKi% zA*8~Nlyx>pl6&3}-bloumEGLFJ)tfBq76jHeQmIEVC+DRt%Qd!Op{P72Q;hO?}G8; z>~Z-K_(`OfmI>{>Q_q2#*SFcE{zzSwkim-ZL`$NVt_hTx-}Dz=Z6j9@pxHL7^`*O} zrvkKJCsH_3@F8X*H{_Wh8J0&Y?DcmBqH1Qz_0(p}=$fXyhFbdrHr4kA31Rhlf@di1+zxY)CCgq11jwgbSiu8+aMJd~^v83uf}{ zBYs1MsLKHc7@*bpb+I6mDOH=YgfeR1`~t8GCc%C==F$X31yiL}HJ8Un6nA6t*55Bq zczNxo#-3vAfj9Ef1EPFylvlT^yi%h2t{S*u=#Qek2wa-R5}?O>41Lf5d5!vs;v@=2 z2O+!SQ8Mxl8;}^16%oUF20L!zjeM)WsgRzi4K-F&woZcFD2h12 z`-KmLvX?g}a$vU{ly1eclbXa2Vs>@E*yVOPCp?pJ=*FD!Iq8ttfMcRU+656rVG@sg z_n`O~icHN_E#8Tv6NQ+)LEJG+YFQdA+RcS;oC4x7q5SNX9te5XdJlMD!N@xx+llzx zh)&@8A>`5Ou3DtnP{2DOOTx$-g$E^j3GapjW?`NVN$yXoik5Htu;;=5L#hK&>B)Lw zK)5{OU%j0s1hlN|c(JfRrjza2dim5+q~em>t8^=&XV+;SIW#7PQ)S-*{4E)C`>&A z;iV1;rS7?0X7G~8PA^jHECS`Lf=_V;b6-{qkT@b_7B71fus0ap3sE+NfpWX<((Tip#hVe3lHQH@aXY&tpGN{B&HqPr`K0Xg&$FP zZeJG74bP{EdI4gJk4xy_(7M5gT<>6Vl#=IL_~{>m<8oE-3=v# zTmeB9q%ofo6_Gd<(Ej*kls(R#*!3C$ku#a8CMA2>8hB2<%;%|fy<1*oYk3PliFkib()=y7^wA|@N;Le*9&R$O3~*>!;7f>!TQe2owiXO5Nz=&V*m_2s zJar;@nVqePInGP<+U~2=lO3PW_nQ_dG*d$17~3b0zF&h+zU@X+9mO0n5ltLXU$!q=tb2fyo zCq~@Ede&7mu8TDk+ostHg`@tpMepcgVD-6+Bc?EHYX>99HPc|d*xYC(tEq}{-sT>_ z64^fK`by1ST9eyv{;N00S?PvAlk84RSuH)LxDpKhlf=uR4y&(4PrOV>o0W0bdYK1n zsOE}kowkbXcp%G~6z`ZzUHMZiN_wN9T~>XWV1z^dc2(!|4sz*XbJ$fQ>}N)w=1E4N z2%VJ!SrMR`!Ls?ik3D*%d7m}%Px66p%FWiK6%_pFvjz4iLbc`4&eM%`HrB-67NG+8 zVI%&F^vbl(_-#o%%xp&7wB3fO17Y*0UTmjc=tzD%$*b#xfrOAQ2;H_IruRe=oVDmf zyoL-SH%{z0Ng^gu4liJ`@N?|hQg$Rhxjf1Gw59_)2t7i&co#ks*G3WkYl^H#n!=8E zi;nO4O!e$L5?AZ-HP?0clG>%Y8-W2=JaYR^g#X!55GJYZ1s93Op2TQNOQ2-YKy9!W zJhCNeYQy~HHKcn%FM0IcwYxHFEY>B~f}ci72piOmm>)K!FKQC_;=8N2w96*1^O1TZ z(Ns;GAP7<3O`U+%E&@NX6Bs5YPv59!y0HbXHh3b7VmnA3KZ22Sfej8U&M^{9s2h2V@{eK{A`s(DdXdCpWbrxA9sNiDf#Bk_k-*)l{scOX zI&Z={JoH5x1-~V1EUKYc_8w)dRd#^HOwE`>W zvMY7?RWDn6Xg&t+B0g@g*#n3<*;Gj1>Q^yAZB*(5TZ-)s-_)9HhYeToD3xkv53LW4%>L7p!}^CGBWP?350R1s{_oi$r}e zo{DJ(*4Uq?yv|(Yr(4I`u!C2F^aWbipk6)2FpgrD?X^4G@+M3C_f5Nm?6>ryyM~qZ=S=04W-I|l{ewU-Q)&@jp9|ue*wmO(&!4N?epildl2Hi zB(J4sgk0)8X>C7%=-c3 z(AyN8#Q4rHEilHc(-T}NlJKOQ?o=Bwl7X_~K1`v?=-O1&I5{=e4jansq_W#wTJEbR z|I|z|eK0@nt6nMz{dPPDKVVE6Ei%t5L5UPUk!&AH>{_urT-_KREc2Nc7W? zPC`3Izr$Ct%RZR4_}>%rv8b5mEu%N^DIN&`q_NT`^lOpDTG{dvYp{HduDDis7PjNOz&50}-kL?GVuW{o zv)52VV{^95_nL7yq@<%Q8|Vua!05R=mz0N#>+gK4mB_bQH-b z#1fWy(N*(cdk4-zy`*n>zsd1-nr(Oo{Ib;^!r1OU0f~M;)o=q&NJa$y%Trc0J+2y_ ztjf$I)$KR`)pt4IdP9)vN+`57FWN}pI%jS;H#zG2fA;Z5kMz;i0G2|A zG8n5viiu#V)vuu3(?YgTy%cSr`G z!v0vUR!jZ$t_nq6kz>l6Rh5A^tJ*f7`(h=7IEt$4)CxaO8)iK+f3X<)Jhpg!3!`Ct zS9|MhLst@&Wu|#s7LsU)U+<`b69IPa($v}Dr)4pDY^%E;5sSw#8R=2EF1tGQW%i`& zD}EsZpYVq#%vLks-8t_~HfAEk&|kBLS&wk6p=&a9YXN3qSH+iyC+Q8-8!>c>2FvxB zrnlpu7PhP+n<{nB)9`vv!Xt>~z~4f?SY-cuf@>zAFZ7s#-m3-m~`NZ`> z-rpx5+(-Uy+WBOvJ4Ya-11AqIY$qzFN$5q27&TsQbEfB-!p_)8 zV4+}#o@RP=q!8)lZu+CGqWLoR2B^(2%bu-FIOKRtnIi8aN#=b zVAj|pX!Jm5SIyn+91dV_VW+mTNER~TtorWHa`wNnCD{Nprg$FUtQlP-OAu#vRq<}P zDwmDbj3sD(KC?9&QBU8~HRmNU7!-d*2I-9AK%qJ=@*v~hv5;2}<@V^`{?emIG(Vwc z8Am%a!N8KP6URShCM&1giOC}*#t^@kRRQJ9hg{|-l&wI3Pr5H#$j*rFkj#Z-WtD;m zO6sJ21oikL@}7jQwPLt&Q;JQ#ok>ox8fNDDkVqsb81-|gtm#Q0!LsN&j%p^^(nx3| zzQ+`vPHQkcxbhVxhouSI;?yR@)YK19|IVsoX1B%eJYEq|BE^4BH{HU3bOt?-Y(%Lq zve6_j&^#DVuX2J7IndG09-({tfYZng&wk@=Z3_m*oN zcia>ws}9jdUbb%XOrJd*zXc^3lz4eqh5@YQrob>Smx7=Z%A3+8fAB0_W?~7~RghEN)9EqyeeSjKsI5F zT+Wyv1MKjKVg+M|vy`IwSY`=l2g`gPU9Rx49Wp0GPbSh*c;B2}t{I?WOC~zOx*?*X z8KVr4;BcX_g4YWP^i0+aCu%>%S%evy^?;{ zh-T2Te4VPVYt53<3CjM!^b%lJ!CsbEQ2fVm?V&Brb0)#!gY2RtB9AYqIqKZhPuM;! z^PMjvdbKJK>4w7t&K}U7F9N|NhB0v$-z#nJ`2|kCsw@CdH&Aw93t7Y z&ezsbFu@|in5>y;=)uxNjYH_D6#wazO{gl_fIivXgw{JMbe)SJWR~k7d;lBnYMU9> zz}V}e^Nce};gBWaMHsO^O%z(wEl$Tz?xb1ev_4gv?`7m3D)GB2*I6;kV8ujNARO z+WR{CZ~h4(P&fcJb?x>S38ZO?X4&GOfQRFqeO)mec+DTx0@CxYhUPOKF zDwr97E(vx$FC~%tm0V)w6AR~A#_=oU9`qI?#y@GbFf+``w~_a*-mlviJV){SBx5*?K|9JAJQWzVU1<_X-1If{Coe{EGl5K3GK9K$d*?Se0m3qTHBC zc0JCpr8Gna&zN&-!f||(et0;KXI2GPKuTIqp|~UKUC>ZF5Oz#n>1|xUDz(8<1hzFn$Gu?D{be>>Q5CU_E+o0K~Fa<ETp; zLzoPe`O^oI-Fu@4gKl#r2a#=%q6EA}*N0geZFI5#{leNX2nd6r`xicYCeibRKHw7! zftBPLa5oX8q~X}t1+NL3Ttx8>^1eIhV$2vDZVT9%mQb^FmpzsC=s6|j?rOJ4hCml`aB7p=jX4$nT z1Yb}+0hNPAW+)Pm`F=fy-Vd}0-5A3`3sF4!{x3Xwq=6xM_tGGMraQ@H(LzIvmRZ60 zyu4Us#!Jnn#giIX6-7BuJIG^_am+$<}7C+eo*EqXx(bV(@HCwEsn%A_8a)bJdu5md&8`O^_s-oT9>y!!Cs~J*(g!eP~>b5`IYmXkE`SR{fADt5)((hSev!n)y07A$&hv`j9!NYrc$%@Cu@R<(f%K~+D)foEJ0TzijxeBoMW*XLHq2%71+aodv4btA#r%ebGpsYIc&2oo_v(ywaqx_O?^{r*T%(?W9Cok01hDSIzz zaVbWn;rIPLkfio71aNGENlVBVBdRVFzh7sPe_&Z&!v@kn_z82r|Ls40^r&GrEV`g+ zJ}rjSFapALBshkkVD)ROg6@kMiJb8_{)uTcri^G<&-ABRURpTDXV`S0CZ_qQ!3tSr z_E?~T@@z{089%-7lhEclG_Zr@B8rkYc5ObPL2N=V#JSN=uw%wClMlObm_iqU)MaDC zcvw=u*u2sSFPJaGxo`u|W{PqKXn2N>7bcDul8zgKPQu6;KX#%7be8B2x^zt^b7E7I zkmrFA18hKukvK511WEeBcLFC>LT()MNs5G+jRdC`-XbiDDX$W}NK!j873T$ysq9dg zFouaae=b5a9WvnEVS2eVF#QQ*kl8>AS~4kP%yD{((H-8vfJ_p&o);*YD2RikC4&(X z{vnN%#08m#oYJ<$R^_MU+NRm{ znW5o8%CidbMq3$*0~s5{4gHBkh8X6Qwlah*H%?j^N_@j4=1gqzjR0vkf?3*Veiz|Y zcoCSeTCtldfi{QsE5@HL4%(=E>%F=BfPTXgZ5dU8zAt(uTk z;8*0SJcPo3tUS*QGKnFwu80FI*H1t zOFCwVu8Up~!V*hnSwk3%LJ8R!h$yIF>ipOUdYXVgLL}vSGeZjl$YybQ$tN!nQD(5j zR0XnJAUi>P0j*?~OF{;@K9`;2#S9ZviGq-TN;%8geXv%w6kK4D%K{c54?JJ>00)&u zAfLzr#=NENy!n{7a>;XyQ3Om+8^tM=k}HF9gEWX+H4sA&h=h|}scTrAQjSVVAqXaK z3Wk;uEe@nOAs}Tm3jPffU3IA!1egI%J@kXDU5qS@TvC!ljdUo|VbKHY0!xZioY?g- zh1#JY@lw}oJLE;CLm?PM-#Nx3*RnVQOt`FDC~C+Jc*sW))kzM{bUNSAw7wY>rhY{9 zA3oxDYz_nFHNFVFn9BnMwLet&s{J7kp3owj({`a@XQI!cy_ziY^^JhX1?5ia1mFQX@j>g)fXI zqHNf1kcm$^+tp@nGmj**GbLQB#0PYsNQBis7_BMnIgHz3MOf_BZZ_)`W8jD? zgR-FzF|jm$!B|407y}=gH8P4ZH4C1iI%=37qax6HU9JQ)l7t)~BI@id-6zT_8>#@ozegE3y&VvlQ|KP+Q4cX zXRrw@{6WILVqRyNHCb}^&@;}6Ppm8B{n7sjfuHi-y9UQ&91d+Su_SSHK0@uC!K&+i z%5#+DqRJS2$nT>(Q%D=FHKc7EDe0G56Lo5zJQM3l8ohF|;2x#FGf55KlzkkP_KGWD z%tY{?m)2!g5yMrkR);_DHR=1(WE@*jk%V6nrWXqZSz9Qa|!q!w}B?K!PLf*o{NTQJ(O{brXF zYmRn_RX+0U(7<01(2qA-H8K8{@&rY&+j&8Nr4HE3W$Lnh5E8An+Gjp>Ck{7@FL5G8CB@mJf;TW6DprYn*jfkfOW;Wy9$z-LDbZX^*&JYa%5S zcMKP>0{6?u3{>wcTxQEfQ7!r*@SbX~0#3sN_&%o7RCM@NFI%}cOd_qt|J?zzn z)zQMVaJ!uiL9Q@G%oRQ?F5UoLg++mbP_@Q#>g(_jv0sJhIJzoRu9gElJ-%k*czICG zqX$!4trwsc&y1(416I2PnQ8qO?w6r%hU3E-rYo4+QyEB6*Rn%ncE3_cn2D}ZFG($2 z8q~OVAbQZpUf9srShZ+?ZtTSewdK~NuiZ+P3Zgv31_w*mBcNShV<1|ckhn>5z;{oCq^q&{9p6wNDn>&Q@G4FwLtAyzh;?BbK03xTN7c8>f1NR48NqOW4W!S zSy7AU?i~NOv?_-G&v;Scz8ZwDI^IRX%W4}3Kb|-&iQ$um`oy*@{i_y^Y_OPUR}km9 zT&ln5?KkYr;%Y$lS1lZy3I4>qQ8SH+>!Y7mj(9aIDYK%{8kRFvO>x8=6mwHe zQtOX;SQ4IIs;$uL%B7N))phBR^Mpb5jL^Be6FzIWqt&qlI^!$3vjM4?OvlI%|xveu!*q{y! z5p-%CwZ^*g_7ta+k49_GoK`!gq{2{VWlJ+wy!dso zSTLoU&YqI(^9WmK*An!5{xI55VIB4G!J}7FNbCVl9EY!nVY!9 z*=w5q+QLD&bsd!WH~zKl5em`U_3+O}BQ<{Hrn6Y3{zvOU5-teo2mx%lYFq)cN!By$8%>kD{o8lBriSX^?*3D0f1!t*ktVpzPQ`$nF# w z*7KEJk#lYj5QHN^5Oy6f@#=DEc;)jxZAj$b{=BAs4|~@&L99JiuX7PwXHl$k@29+F z^HKw(8@t_D2yPscrRm;S9AOsa;Q-Co<5S9z&>mQEsMG8?Cs34~3y4K@EC8@O_q*0k zPayoH$n*%x`i+ygCz75(Uk-^JO+Q3jK%9pV$dLhQPEXB$?ECv8?baH3=8|XrP&9jR z=YIAho>_)8zWm7K;WB}}%ob|b1+R;2P3URTp1NIRn#;8Ewl`uPwspp-wIzE!K4>Uk z`+Kk#spDwHQP_q*Ng??#tB8=updor-wBP@WkGBvw6hG{zHItht>VvJh!_*w5825(3 zIv2MD^({}liN2K{IDwuG7_)U5oumPF)-^c=lgjO3o9y><~TuDiPZQ2BzXN&3F&nnYJ?lC$eVv!-h_9Gs)b|%U)Sr zs?mwp*XBBwpR0UK)K&AFtUqS8H?IWN-jy%`!Fb+oBXEKiEW%zwz%>`WbyhaeZ0jje zhR0boTT4nnW(L(flw%@wVIMmuX4mbTyndPH71Jr5Q6(0H9j40BYkS$ipdFPk`L@U{2y?df% z8e!Q~urU-CTENt>JGpTX^7Lz3kNehr!D$foWAuW}N*fgAN3z*zerUe$O$j zCw=STQ1+yE&WXvVm_2vw5KV3>1|OE8>|03~!FS5q@;oPwOc#=opY~md>^hrNg4zdrr(jLKs}?t=^Ib%jJ$6sdNTevIni+V{D$vYbe?D0b^CS? zlX-bnXjdeuFJFVTE9ofk`uIQJU=$1Q1ucS@`+6J`g-qSF9ZzWcyV9#=q9fG(-sr9Q?6j}c%=ABL^AuLY4AJR*}0jNNf zuxKJh>1h*;8qNfE@-?<|hL4@3trhrW?z2KuGMOW6Z^2y2pI;?Z_v1-fE)EN`L$M=; z={MrBFmd&F)}qR2BsV9?r~5TvDbFm(8!g-cgo4YW@iB2&Cvx|D0DR!|9XG|HxtMQ~ zj@S9g(%KJk;*ip0WtEHj?x}&g2gS*in$RtD$v$kr?Yq;}FeyI^4U#>m;Pu1pnq7HiP_2iFbL;5Yfg0Lh&_LIl%7sSTtGqvz#fKEYcc6L z+-{!)Ye9C6bdiw-wRI-XA?L)Qjp%-YMeGT*u&b55L1ijJ-|Uw%G-x*#Jtrb7A^4f4 zSZjM)JD{l1<3jlnzB|oh0 zch$v+w8z_gUNICYZdW=HPTYv@tWwb^CM@E%qT-A5Ts*F@C0l3FK&QcU4;UjbtQy*r z?O3Hg-e*#1l$oD~X=G{{W#&a%OFCiSWGjgA8X75S1sB!Dps2mp~n*%!;JOk0u;I@lY6m|ld=pb~U|R!U_xSJ)cB#-Qbe z1OA5rR&(HLrT_jDM7?S4G;U=)_>2o!x%N0y(1*HVz}L9EUiQCfkfHbp%0=-g#HG!G|`@{bR%o8<$KKxTYnIO;G|Lvx?#5GiwYJctKQ!*>XoH+I2C_rkYNn z9A~p~6k_AZsU!%kvX#t$-XLuw8VC;>kl#q3CVM$8pD@ul?B6`+6A3{O8I3%OBHr&^ zt!0xUL^OQ>`F1Q>$V?8WG!CBMeS5au!6F|ed~~d?c57?O>8W)Eo^w zLF?J|5_5K4P}vL;Xx%$GMnxptHgOO zN#dbo(-P}0vFm0_r$?7S?NU@LZkg3l8z&TMPqYb-Cw?F*ASpAULA^7;IZKW9a8Z!g3`@PgCbSPS1+;X!TEi(p=&-h%(h z1k`fBwPctp84XQv+G)r8peE!68`TL_cki&ota66=cFkR?TlRging#*m_mjt8OT$Nb$V*7a4yz}J&Y7ip|O(z0$A_zwR z@qeh#j<8pZhG42J%&fru5xAJ)_?DSCN?Ql@Hv|MMt4?dAVT|K6mMu=@tfc?7&OZFZ zzkmOyuRs0v*Us(TmhMClh*e%lV#i)C2;Ip`I96Xun&Ou%x=z`z(QT}{eRFNq^V{!Q zXU~59v+uqA_WNJ|0nQ+_xlU1vKq)09&92FdEvVYd+}^$W`ug2JvV`W7cizHr?dc!< z@zX#10f;{P(f7`&SFJf$^byS%=bj)W&HPC|*~-fhA%V8dcD1%&D}MIYm_%(LJ6y=Q;;m+yb=>+k>3Z}74k4K<}e0Uopg zmWN@>D4OKUyn|tD0S#o2n^W94pL2``{Mo+qY2hEl<%6Go^}V~Ky`uY6x z(PG3FXH|L4vfGXQ1fwafF~)%*%x-^d=H;(`_x(Tk6O7>5A3z>I&%5IsHs5v)?RiW$ zXh%ZO##L#(q-jtwJL>dgFWJWG_WNvO3i`L-uAu2LvY)-RZVC(sBl*;)KY0BuwD|sa zzVqJO|NQBvKL6|w|Lp0XzNxadgVKJ*TAvcQgy8xKTVHGiJR7TziIT1BQjh@N{UT=Q z_S-uO9R=e1VDs+wJ2hu*h6VRqzxUy%zVhtb-~8~?ufO;9KYQ2BXp^>M*`&aLO`kOi|xw}7Z zf<88)X-a~2LCXpDf4+n5cl#YqzxAY$;ha5t<1-)p_V=Ft=ts|)p#&7MH=o<9ouy9Q zoFts@1h>+4K8HFJhkI+R%S=<a`4jrTEpETv zU^TM$m}YYNFaG4iPko7+>eJumBMk9Ij^~ljc#$mej7}@Cq?qD(%M79tL^Zp8d-?7c z*0aaOJHJoe{Ec#5P?2zQTYdeV$D9Ue#n1ia(;vS5!5d$G`d7dA^v8ew>@VJi4#%>2 z?{9wyg{o%&?1;xRoq9}E&Q5G#9n85E*LArPI4v8bmqH&xRC3mLThV0C{^-lke(O`u z-uQLQ{Ij>eK=&*;ou3$^Pv59kRtaCpML*8y;M>?w-u=Q(y8raQ{o2#N_-nFiM%YX> zXL5#@qyfFXWLwA@f@`f8;vuO^YX|;_8d{@Y+<4AD{O0#R{N~r+|I&}J>71m8wHnD< zt+$eY7{=5M1*?RBz4PhvF^ElXzX37-0sX0=6@K{H_y78jp8n~#o__7~&;IK7M4wuZ zPe};fz;s!bY8S6d<{8AXj;N|I{p`o@w900D`(tcE-^J8^+B$phZ+{zV=Dol9ou^;@ ztqWNktvRR&?2h7k13lnWZ7!G>ngs7Ad|r~TO(>Fi-^Y1_fJo~M`KW8W=O*(;StNHIi1A^Rm z7Rxf7ROMD-^cp5MU=A?`J&RB4j1RiE-=DwxC2PWVmbX7(V;}tHpMCI^*FX63?|%5x z-|1!Nnl36s4_HAWL^DAv){|^JE@1oI{&)@30v1p`fA@=9?#gdjx_-_+{PgEP_`A`|;Wph(CYv%; z!B1cR@a-=@`^smYe)eZGJFGj>hLVXA2%9IXv;0zXS+;Z3ql zjz3wkjfGG=7W3$}ci!R-AnWaeZ+-E-zxnkKzVdZu1Z2Fx-OB;%Es^yGa+_^FEv>8K zs;CG%2ob{c{&>wj5th-L#g0O|e)kJ9*&qD+-#z>O7oUCYbMO7#H)tu)89X}{AG*aR zvfgmQnPnjOhOmB-&9R<7_xTTg3#R(Cyuo;i?Qv~7mdY|}ljpV@E01>L^4fY8W*iQ@ zuMtTrw`*FTQ=9^@-#Q zxDBbpCwdhXH6tbH&ynczqQYo9uoSf24?p$Ku!=tX=2zeU`!AWLRFyKo$0vA!rIg50 zs>|)te)^~1`|!J;L9H$MtF?IfVK?LHD8VURQ;}~9oWXb=%LoB3fRbfhm_#^B9x-sD z=2L-6pQS zP6wggK}ajThOhB;P18_{hm7p;gU;J*#kL#f3|$k47M+JY&BSB9$tUwsMDjR@qcb^$ zZeA>R*|mL5jAR^Wa}5ux${o(rq3yY@WO}A^a8^GchjYF^T zG3?w6ThGE8R^_s0#Q$Vbt6yWbl*k+nZx=6o4MqWt;So33B9&_ zEE7I?dPgLMp?NYO-Y)*m2J=WbmUBOo<89UHj*2^+_{At3D6vk(KSbYgzF@8n9S%_;wDB z=ZYPCL&KDDEah@DS4XS1>CWwMy5-EBVGIzbVk=nW|6nQu{mN!C2ge66kBO|68Aqw=O>CXP@v+ZLNQLwc$IK$myh|TR;rY> z8e*JhH6L`;pN<|cm&@JSI8=gyx;8UK%Yjr#=n@R43l zj8S1Ho-?CCrpqqq**vXyDXZyvKwkruo)8J6vJ_=eJzoXZQP5RPM+x9aq<-U(+5H+G z^wD)}5qj2CKs1$z#~Bx>Kw~iURXW;M+}8}uADc7f3b>;}r`gjojhd8@ShI3lHEI?s zIoR;`>#AhN4{;P7{_geDK+qoE78OecfoEaaz_`H2+0Bi$+Rn2Tb~^RSTtIxRteavs zb?`|NNmffR4I3F+IQ3!lzY^$pD_8P;0uu;iHl6TIO>%FV9415}$s|Wi%`_!l%92f& z+)cqKX$iti%pI5cFJ6Lrm#tS)DohKk#C(IVg}O@}V2`dr2AXoH*! zN4<#Xv8lw+_1(CvW|}I1FI0TWwimMB_fL)9A&Ho7mP#VD^VMcq?()2~PN*rE7U%kM zJD_nireqX^hDO9a_cgt?EGG;HP5r>! zsPlZXvyWJ#PGS25LdO{eu_3@0I;!-13h9MNEzCnpy`h6N-xIN@Y~x0BNXH!oiJ_B< z?WCaF>IVr~g|6A^!8nt|1cpv>NXHxf73{DHwE}Yz+7K>?%X$JUXMSV17fH)vf(4P= zd9|^wZN)CSoDkalvK(D|VF0^0O)mI6KzCD#6n+^hvV@tI*9k-oGSccr~xytPyBBG%06hXsSKpp(EBO45r^3(`Bbm=20UzqLgJ4~r*_E_^9! z(i@%VX%LJjEQbwYLU*E*#Qb=2ZKolK@c@sNuR&|W!hI(bCue2g%DtH0yy51VpOU^ThE9R6+y(ua6Jk#KCzUKRd|Qv4FMl|oY_XuI(WK?vl7 z)CoO)0YP5KX}BeePXA<_>-GDx&YtY2JLvJ~5Xq#w7Fi5*7$=B-{<`{$IY(~VDkV2l<7s7fdaeNxnQAAEwS|aUB zgwpnFTb@%cvlaB1oT!ZN!l1oK-`=*91(ejbA?84hBURiMbqCGHHqJF;oX{>MYjV!(B5;;6Sh^ z{O>5enUwZz$){fB3{_@2*h+Dog5wNkQl5)mA$Vw)K=|&41>!n)Umt?Bv=-e+0j#GM=flR8T_MASCFI$2+^+~ISa4-+2fHyfu z>BU$FpRcp)Y@IExGg$7Z#w=sMEZ|M!>w|anB5Y zb~7z_Ws+@}oSr{#aRk0z6S&EXj%&G|>IB$BJ8MbXyj71c%d_!v_sgSy{fREA&~+hU z7aCLm()b13+in!w%k7xt$Hf#ZvG-^fyv(vSnAH>{iVGyO+KnWK=E2{l*#d@zLN1-Ic6toknn`x* zI$H@@Ojvj)0S%CN4jFsMH|uOnxW|(BETKc^Zw^p{eX$v62gmD5#uK=$->u>p?__;>V8`+WzmdWpJYzDb^O&0#Po ztH@&7pXnAmIWv6UF_2euD0j+87?656pdJhLtj;G^D|9q{htx7Gk;BO)t&p^$dl+#* z_l^}H`CdpbBE8r~x31{b$>+a4c?xtH?oE?n!)3wH&fGd%maE%0&+nGEm~A8nM8XI6 zwJs;c?VHW*n?2*{=CLjCcac6OiVV|J>sFP>s+`__oAAu+C+}!+(ip7wL#Z9rAA9tu zn&R|UO<+aoDel+w>R3b7vE{AkE}@Aw=Jab=&xW?;sG5>%Qyh@EwHok@mSFdtdAKEE zZ5Kc%0SegA6>n?*omt zFeAi;WJE^`l$SlRn(JaVL%SV&yT?KgVuo*SqOD-FSy9B?*7`_mO{f3YtG ziP*R^@;ug-kJItB9KN9{$|vKpDvyf~$jAPe&3T~Dcn{thzXHXw%vUE`>Cf&CL_0}w zz|X)g=8o0ul$=R@AhP=lhB(NsqzRl?>UlTgrrhA(z;!2M-U!h7wW@Z4bv!KU_jeZI zc*Z*mzC$oa^v2vD^i=y1y78D9UM_rj)NAD4=yb^-7;p3@MDpX7O_SG0ofz^i8D9#k zF*oIvxpO~V)Q=~b-k(gi%MC*v_6nx`-HA7zi(L3jg?ilj;Nm8V$C4f7!td_1i9dZu z50Yri#5>`IWaBLE>}eXxpvc=EV)CxCepXA_(B5nz;fvy~;fK683wR-90EqSqMnj5E z48^L%LSEd-`&9A>QOtEgYwZ4A9Zj%^a5e^6ElmY<#|*d$^cv(Pl!t1`U2zB1$Qv*C zyow2smzUbCwytb{!52H@QsyePuL(JHw^;q}BNGa2?nh4UZN^HMh$&BSYvqxVi0AF$ zqu=aaa1UUfU47iJH#yH$4BYNfi$)>+=L~&Q4^|s=Z zCk+omvm6;aM}L2r4=UKiWJ{74%+M0fnPNE5kei;35$W^p^F?l!YlKxc zCM3fh>`S$Yo_qf=OJjz`!6z<8L!6Xz&p&KXFWqa}gQq2Zj4qF}^&#h;*HSF@)_{5b zi%I!|*e58^3mFQo;bPDVMD2g z%MmE7?Dz%!&=5w4J~!m%3$%cxAuaT5i$2=Ycz|3<@a*1pO!oo|>^V^Uh}-pe#uA7LM!(w~D&;`H9fEFO|@Kq}|?u4cj@ z=OgT0dz-$+I4!mU@;qeTVFT!i(BoYTPEo}MXA{f2aF*854hPGp@k}SFU zqkM7uFYahE-P&P#LAVb7o8sS5y&+yFzQyLB(dG4w2&axsFm)V*e0`o23*O; zLCWXsB`L#PT*RRf}ArsK7%<2;-U0aGNNB|Hwaz=aaV4cfK@9)_Z4bd*H zEd^qU?I=wAa1`_}No}1L6406z401*f1C0{4<0J_EQU4UyxukGr7+!{d=h^jwbrk)= zMKiGzj|MMdaa&0NI5I+^)DVEBHl^2Ib{PApHh2{ChuteHhRWA^AId>_3U0_J=Oh~S z&tvTiUuc^RO^;!ZGrGe{MHw2q>4h#|Ir|4J|Gv?=igg;rZtC%oa}d~k_ne_#qQe7M zLWi%NeZ7t^44LAVM6Xz#F<)maW>N+|dUnrHoexeA(`HprRdU2y>flnD0+)}U{qt2P zk}IAoYx=ET6^sp*YO!J;MFeFUxx;6#P9TREepa5%MA;jW1Y1I%P^{75B`$c*B2WZ4 z;>*N7A4EGRFs&C6qn}PFlk$38?qupjJ)?^6`tIm2|EVrb!E(Vrp8n(OKY{)e>OYbG z6YD>T{*&rIgoxm5jn?HLe7A0MU00br;pfX@R*acMsQoOLdHL1BpNl#h=X&se0D(G_ za6FdSYg-Th$2}@0`900)UyTPlgcycM1M8$*F$Q5cL{+tHC{*n<^T6eOo^yK+Dtf2*eA>y+Qyaz|$GE6z;3#j(zwc<0ve zmxok7XzmjG8}S^T+m#10;l+E9b7!S1D!pf;;QX)`W)@pco)Cf40@Bty=+W~;;(6V9 z9#fPLFTjqy2E+LL=)*tiN^O_Vexm?EK)%1u`SU*K8cT8!WbJA z==6iu)M7@X9hd4>5wC^_o7-(X-L}KWRuS}-AgJ#DI^u~2az<3t_QzUIFf`hO!8e+n zJPk$NH!B|enf5GCF)pokcSuY;EXBL9`$Agc6zWF9&otcKq^Iwu!=E9GgzJ(2^ecA# zoc~DLFJ3m7G#IDK8O!F5>X-#934etyU3GSq+wBbEV0ID3{dY5!IMMXqw6+&q48EC7 z3bm8|V>j#G;G>yRi|MfYukFNIe$ap1vyfcpV$k1SXk6_DjNpG?hSdtQ8(gG=uF9J5 zy>2ug`-E|I*BlGG4ajZs3GYC%Edi;l_SdUyxdlsbFsU;|J;uSUnef)g-dz#duEq)O zlQ^-DZ4KGE%vR`vW+6HA+zV!lSxZu_U{?)Ep=j*y4^v8su!?Gf4`wZM%XZg0K zRL5a*ZXJEGeJ8VnG_o1G6QrRXdQ30qF}O3E6vbs(F?`)LRZO#7+Ym^&Tr+{3dFh1{ zYo9jRRcTEa^prK*+CFH`b~oZh9tNrH*kQ~=ekv(2+J-iBfz~p_Q^!7IN*`B=6A5p- z%%0HExU9A(252W3PUPd9%$$onoJWBj`}Bma`6O#vS#9e{G08S}-#E~K7hgD$Hc)~!OscdwMcv=nIO5w;ia}ufu@_@d z5rc5B4IAqEi=iFbXHG8^9OZgj3oJaZ@QxesEyO1tb^2yNYV(=z2EhiXU$7edqT{$PKcX%mDh`+tkwmVN8ctBC$*!hIHuF0?C9_Lc+4b54LKC{F{V|*Ijj$Pg#A?i;RMc}m zk)VV#(0Pv+A|v{Na-{czM*By)0y&R7&DO;;`T%u+F^XF!`A4 zMS*`n$z&f3FFb;9`68KnEb4f-pMuPF!f>BdmoO}p9BV;LWIK~~O%vk9Ok~EFAclz= zPA5l$`=yT=w-%Xs1M91k-TtC8Z4mIpO2hxroJv~U+cd^Tw~%bu3S%fwyG^!RLag)Y zj6vM^O3;|`4wl^YLQ;Lnogx1tw}*1G?LUa*l4+1$s$~g{#FlLBN9mav-Mu7A@yN+8 z>7~dRVRp=m68h6K=zx8Z>v@SFkW1g>L3HPNMtCK{bQ!8pHuWbXS1BvoI%~EI0J@jv z|I6OH^~$nk=|Q`yx@;>zJRn|pL4iW2&ffGn%W=OP3Gv_;jD!R~VP<4xW~_`$p17>F zbHPJfE!1{5C5(g`wHmo8m1(=$ltka$?QVBl^sYiGi-)Rb#EYfsY6~Pw2qAa@#y7^C zammcJ_CCjDiHobw&XpN4=a~07#~5>rZw#y&+X&*sRM$|~b=i3zNbgX{e9!|zBf+FT zp{-zzejz@`#urTGpTjPgSMEcpcsjQ|qG6Urh1gUa1Qi}8*nG>Hujlqq4>Rki!7bQl zg+r9Masi@YKt109vN!S5G^{&ZQ_}cs3v0uu1C6}}?5>dD5>itFcyOvkS*x*8hba-F zCc6wU4rg_tCD;aA0Qou++QbR{6|p0(Vi19ixb}LB13*g57SvKr?ce(g20&ze(ZoyX zF9N7YheWYoFZPgLHc;Bvp(WVRM0}$c7rYv>C2*K!cPo*4s zF`D}c=%rE)S`ZWQXfYPi)Hl+C=>!tesl@U0T_K$SGI6FHEhz`x)`}OD8ED;fxj9Ls zUt%1Hp6kEi3qT1Vxu6>bOS*ouwUT9buqDsb7ndgz*W0JL1JHjuEZMpq70NqF{mNaPj!dvXkC#kRu#JL5z}J2h%+1LsIpg+vL81kqJzjmMnznpf)GRDOFr{3CCq=k(5!1ZftIdW3 zG~z098rWElyiiyEYVn#mX~Kf?-5olO7~*+Rxz9{~ZjldIlW8<0`oPuNm9|X01MVa_ z6fO7&9JJG>nI3~o$M?N%4vF>a zV&c{QqgfO)2GcGlLp=w&MT`fIc)Vy%m|m_mZ?&5Ja7}z-6oq&uOUzG%cm}}VxvTsu z+UaT_yftmJ3r+Rb5s!K91e&*gw%XZ}bYgfHGsZmu56|$5H3TreIk}`Jok8ZRdwH6^|*Ig_i5Ic9Vlgag=Z)Acr@>v!6oS}z%Vpm zICB*hlw4r0NO%Oky{g*1wTfG%a5>|hT^(}$PX?u7*Bbzf1quTUIX?=RdzkHdDPZ<>Vh0SHLsy_+9LT7w=-q1}#94U1o!~zSM)h7&SoRfYb`sJ^^dZk^Joh9}; zb?)ZuJa&kKgc*AS5CVSEjIBiMYz?gvos4gYK|PgKJ50z)TXBtefLKe?jB54;yLxCC zGLlkrX(&_|Gz{oN28~rjd?u}uQVCWWVgMpQB@`K} z8eO3iAvarKmCcU(LmLFDEli3#nxY5Q4I}MTmrz8R0~97@A%5S`pBb0pQ)2kfQv)7> z$;MVd7nQieBr>#O+ENC{m@v@cXuuninP~b0(T^+E0hG7BMkF#65*q_*hoajRa1mm3ysE%mz-6B;Cy0fghjZnuQ)P3bB9WT|+i;6=D(pJfwX(WE6k*kx2j+)HaUeSv*q{m*_)5!2L$U1XFZMpRpBS;OpeRN$yi}9qiT?3qBq0 zHHdW5z$8V@H;P(ULy`uo%yk!&I8O&YXgYU z^oZc7y^|tImg=ObNs7M6X;woKK9ofI%y2*weHY!$$uoxL5)}k2On>m4)^?ZqdF(~43RD8ENxZRC)$tbbqkm@ZiVW4I2}-J=q$Z+DfylV!@*K# zU%;= z><5)2W7R%YEXBI*NwiWF# zjKILUe)=xVsD)dJqGuSB0w^K;DG!M&;aGQ*f=_Gr9L5n~TVBde>?H$R!!ejYXt0(mU1Y}z~D-r3YG!d4h|h)zlYx1mzxcGihVfvgP(w-i#hh< zOfBJnk%1%Fx}Vy_6r5DwTKjejl*KJ~Si}F!BQTE~f!vV6Ac-!M;~CH!-(gr!-SZq! z8McCe)-9Upua2~wEeDTiO?q6I0k_9W(b89@zdCO1mQi@+6OW#y!D#cWGesDw0>MLx zM!|sV8UWS&!BZIf#~f+&MrH7@+A(f4oDwt|{OjTEn~5YCpyq7;Xp-Sor<>^oHmuyM zX@Yg-ZpSE58cIR`(a)Vk6S`41h7Ey13#KC+d>6zJZ=ukihExzREzflpL>Mt8SP>c9 zqw3kzk0vR9$RnV2Etedk&|xBl&?VfrJq<9iGS>e_O#QUp`4&&^BK6%PUqiCs!uOBz zO1ApmQpLW5d$>Ciwdeqh^{r%ofV&~niXot-36T4|yVP^&_)TC_o%7|MkfF1O$Rv;? z;AsM8SmiXMd+poZK1x#Hbb}Blb$#5&!pX0pW0BD#btAcxhz=$4V4wkxmit}T-sZ@B zbMnMtg9=JcyJeWL{*aqdLB2iFu5C&OmYnn)DMkF>;Qrz2fzhLj1y zdS#T@gLbTLd%zp(_Tr{Ha5(T+>T`<30oRt}#L!fH9@!M(%xKyN8B|r9@h#L*NZ{f$ zpvghiaqnWpYlXszmJk5R=jMgDuA)9jGMy}j=7@F5A&k{&_nx_TU~8{lcg40P=y5-@lerZL`!8NUY}Xp^%$;yhJ+>|a!Fj96?5 zq9y|o4L4LITVU!TRYZIXmxlfi5rWtH$6wJxgVf2$3G4tx>>2S7yeY6xsu8&Xq+V

      Rp}KrN5-UU%>a1iLz;sat@eERJRCs82w4uT5>Jx8`7u2U~x)te0<)*eh<2&^4zJt29s51-M zf&k{5e!kHYp1HT(1AA}Z^Hw4;>P3b6u&3i{ZyA_yECBGqiYu013L{48KcZ?KlNM73mmB?;?wJ9Y9n9+oSX2EfsJ_;uG$^ zAy%_Btga;DVh5CfzEd;)&#z1A)3;gC1X;+ruOE4b&14vx;WV z{AgD^v=zt7!#2qA8sk(T;sIt)tDyl5CToijQlO_Jj|D&Udw}hUL|_Iftj4@Vxap!U ztFm>rx!J8D81e>{37mVSZ^T=~Rcuxg<(_8Y+cW3j?b8*k_RE^=a$7vLxX#!&VozY$ zMOpFK0_nefB+16n^OATN#Ac>xcSKFd_Xsf2_Q0`mXv?SBO3Nm)cwU*L86i-jBLmfk+3!RPHe&CF9c5;?%RUi-K&r7?E&$dt{xN} zj4tj~*A6d)NF(03KVoyDFD$&%q}i9lktE@byVDW>1HwTtGp3ppzdlC$`0=1&`wE+aOCU4KTc5m|-jG z+MY+L>71Y~xa!$LylIX_?(4 z;SGE#@UknSYQbpi2Y=fsoFDuKJx0!pztb)4Czz+b8i}U$?$_U!t$z3GIn6aL{@t$= z3qYq83O*g^7aa`^2?8Z97bL^qc7E`y0F3*=Z#YW+3K{*{5dTk$#jl+Dqk!ovtoF*y zC>$+KV`7Y`g2d2L1GmaL|I-yyo%3RZ0CMWj`Jshh1a;)OX;1Q%c!zTjPmiJ=YpX@a z{I1hFKlmFX^8XD@@>l-hFHYb7ntYo?iBE8Q1k)U5!ofq!u+f=IeOMCJzsA$3Cl)}M zKH{c@J7Cw4`<6J)ty45zOROS0{t(NJHEc~t19AbWScQV?X$X6#Lrdh}LTHg>umFBQ zeEYvRXK)IGkJ^$$Xh8|EMJ2S|qSb^UJHV)Ba?lMDvq%F{K|x3IWkzhb zpaWQtjgW;dXSLy?{UYPhF8FL+;j~e2DwwynkgZw&96J&k z1E+!YMDLi|+Z4SqH`w@6Jz&btaultTjo5!j<6()@if~S8yGQx6*qmQ##!*vO?#Ls$Y!RsZ-fv?aa zC-Lw6j~oR3ND^p*VonxoxLd9i$qNY=69)oblB9R(M^1n|DL02Ek+eauk|$}FpYe4; z#+a-hIX*IF@V|ieQZfnjwkLq(u`6AY3T8~2q8mI8dX8>@YK(Q)8vB{$bLt(w)pgQP z8kI(OiBvH4mSy?6J-#SELdm=?i*xxbXh%{hPrBZfY@QTGa<(hI8ly9~hOADcA@}{c zZm=#9;a@r>6@^ZgPPsy@GxfcBPPo!a-LEtZQu{2qi*zp5IKrGoCW73El8ii0M^CyV z0=j9abMdTzHdoh>L2Rb+%ARQ#7Zk2i2U3Qw!KR%^E-g~7pwE%E(G!`xpHoYh1bTA0 zGL>C3Gg8*Xr1IWeW$DHU0JI}oen!oeJQ+Nepuv{K=jj`mFIyk{JT_Z;ZpQ{(iJfg}cF0!QJ=H*R0k=|IisO9&_LTw(0p9w%Dd2zjn%=+{TG5 z60t5xxti2t+d(hAs#V*oBTn9XMFr7Wf}@*AOf3pSQMTc36}P)nRXAiA@fe#;0rp@; z6vw#c9P15S@Tia0l}hg-O}MSjlrz^&+Z5%!fMp|Mwu0fdu1j{8W*?g4vMe_i{okz) zAa=JZ^-XN8nlrpHrXsW83uL@5Ik}5{Q4HQ9uvNu=oS^oOZO3uRFoykZF#^8(#Yn_d z|En3`iB@slbydp>)KBaS3)N)V1L+sZc|DQg>S6u8pLz8P8MX5`u3+UZ2Epg-DQYhN zGNE&gKw-}&Hpav&OcwTe&R%f)H1sq{?gF(HiTTqJoF4)Uv*0(BwY?pioWp;b0GB4n zYw`xrojG&_9SMrIm-_Cs*CNi}R47o*8rT|Eb|yF2p_Inb`G)oJ9Hg^r5w5dle=CGQ zJryLPX*&g?9|f_dA6a2G(@*v7GMd9iRM7l^{;K}Lb^V7eG>J#?UfC1pOC95-F)>Yn zutiqnE{q~wR^i_hCtjSntduQ9uFJ~SKdEIToo%Ov1OdqqL8MFY7A1H_0Zv_&;?&H% zXIirOjTpFPrwzKfkPa~uGg^pJNNh#^qL5@V_yVk(E9P(hjdE^`c&+5Fum5~REF{xs z#5@POu*8ajr6DPe{m`}LKpn<*Wy!6vNiRx*hd(RT6f_@@V`MUCpLlPaiWDxA`3I}C?#5y5^Bggl)#OO zub0nt|G}$V4c{2%8J%Q_@IWXaUK9|qCkfwTJ=$yzlZLm7a4(9;E=!0LUkff&!g3=> zU|aLRp(HWc*f>b{ld&}3l?_J^PA&?GZ#IJqNv&U)ugEm$y=-8ELiib2Us2QGJ z_)NS?Mk^k-fJg{lpM61akX@%^feOaZSb0N=HIc8bZPgsl$>aj7TgE=toG|{DiWB?`fc4HO@~Vr1UJvhyw@o zh3BJ0FGzwQfgludRw_5L#5oQI4@uy`5W@@E=Qe^}QIgQk;3pwXB5c!E4{sS7v&5s< zA@v?4q}an&9Jnzobg6+vIZWcrT6qp4hFzQ?PA9b!_A*`oEk)py91*wxe;^J&Am*h# z0m_5(Kw=L8vOtrVq`@c#5!!7d2<35vEHs0tAjSut+)gP?2=gTBaR^*~2BF&Z*p>u= z9%(m=1B>rP1u%dHB#hk~pR7O8S`=cqM&et!VgVv3#zZzi3_{{Q0$j6m0Lw*=*Cb-_ z!X;K|--2T#8Z>tV(Z)7UaXa11mB+RK_V36hBfNgu2}DxwZ2b(nCX4m1fO~>%7OY3m zlylp(I;v)10^{{6Khm__s2bK#b~8f9C|4fFYeyT=r$n^w?Ycm`u<}tc;(5szQO3Rf zf~dJS2iokmYZqv(CN7_);B^W!T2%9eN_!nkRh7pROGg?ldK@Z71DFtuBxK{^sS7#Kg{at;nVJq`2AJ;J(BVx8Ww11WzeMs3ew2+9YVi{JlN0gHc&Hl?z^ zAa$Kg6i(0fa8Wkf15Ll?f{<9g?24`{O5H_fn7r#Q2Get-&K+)5VAWNob^fAx#OiW9 zh663#0|FX~Ji31PT+=9j_=b^EpbumOx^L5b&*d^gd`?T45tO-VA&4*{2DVBC(>H+v zcQ#e$JhYn%;TPz|*o_xgJUXLo5!2H&s?_;vr6^xrJNognxmb77!pegf$>vBixZXGq z`KE*+?G`7Ef_c}?>^E|QrFzK0Td9E$05v7vjvK0;mgI@>2BudXyOM6-Zk)E>ZX8bY zOkwwGx5I*)%AyA->)tui&jRW=+HuP%Jr)1%+XybQEg#^=SQXAgM?F$*I&~n4rcpgf zf49rxrAenjb#`_+36*8Hb9TgMlzB-To=FAk4t2s{t-d*recyAOwf%E#!Hzc4i~;%~ z&WTzN+t5AGuni9g4*Y;!b*$&H8YoXr8R5@cRppfB30XSl;`Lk>OulI$S4FYtyrJvR zdGMDj8yr99DZ~HzRn5ZW?Mc~HiA#Uz4*~25vsI3?!0-BTYZP@#-tl8Pb8A>X$RlV| zZl$$0#6Is@I#MM(2r)ZAM=!Uw1O&$&-TCUba9K2jdxWtg*5`d0AaKJsP~hezJDn;t zE{N&YU%daY;`45Nf==}6_44exoplF0ux8)Br=HJcrYYEPM8)@2blInpdEdSJjk*M% zP?x%tmpXpZ09qUcgyvQMB?@IF`E|xc9d5U@fA?*K5g)7e#X@dpeo(|WytlH8I!LyU z;lM%sn$zqmdv@UH=DPuXI}Pi1@q)p!If2dTdJ*+EjA%3fu(87KbdHo;<4u%AH*#;< z&E{-tr^jWb*Fi5e36I3KYZ_pXOEv(;u|Kf)TLI+=$F;?3|J1Hq9I_VtP_GFX$KuDb zk}%z{ek<|JRb_K0=EKIS7rOCXw>4H9mtjq zFcycygBmYrz*vE!tNPxp9u(EotEkC63aph`A)>C==G-lZTN+?gU2G(DOfh!t2_axkidY7l4`q@s zSWoD<@ZG^ZvqjvxdiU+h@nX+OVwfqz{vrdM01QnE4zyep2o%d{JXl==G$6}-E2NqD zK%A`oq_6~uI!zW%5D1aTc}ofCvEVw~A%c9CWfmP#XIy%f`+W}`g_wVPOxCj!wxj$W zS2|!pKx>xSK>U#dobX+S&KW+NGkzwguXEmdFITp=D0+*W>5ZKH{$@^pk<;^@O%gs+ zoxo%bo@vkXJuqdx-6XLqxhBen0@kNLqwP!C8Q9qu4I_c$GEK0JAsTFpysQcf+#_tD zv^kWHK9jd3Pm3uQ_G|E#`;I}}BNB|qJ z@E5#jGY9pN#EbsStiG)nGITvT_GMS~&kcdj^8R@d16r1$=xMwrbHAxmUoIy@=93!O z@#*9K#o|_zm(Hy5R!{Nssb<6RSlhtDAZC=r9PI!WJvTQf9p!FGWWFXmz0;{PYohu= zGcR7GA8?MI6yt_Myfqm=y~^cTk8mkKpuihd(y!);@h^Q%Z}u=OWS$?)NIpeAM$9>A z-x#7&LWIKdzX6!~xP>b0Q->BZY*%gd^h77F{o01L=9_08!;uhFI5Vh_5ZCTW=>C-W z3)QeI2isj1Hl4x5>NP6=oHFk^(Bv}~K3z_4g=-*34I-5DJLHjCVTt0QG zu_U3NWK(MD%QOP%YLgdq=tOAM7b4;@9H7G)K>^rv?ZdnO`ipk1kTJP=kPt`l3wKN; zgg7(T2h;HjwMg#N?Rc9Ko+X*`*dua&Yf4H%#{6Ie=+;i^>1Reecka73;Rx}!42#$C$$&hx-(d+2o zkdOlOII$mkDF?e`n-6SIncCP$nk`!tqf|CahT6gY%x)hmu{2g6V=Dk&X=e8%q}I^K z^4?q0c~U-!eaZtdfG#aaBEWb~Bo~z(Fa|xQ+_yQd0vmXW<9aLe?LqB148%akFW*X{ zTA{8Uc;A4kN1Hvgd-N-`IUwx=aV=E2?YZxZGtUGdNa4EE%Od^(D2fX8>(urE<};{8 zOfqO!7L1NS-0QFdnmWg7P!$)<_K*Ap;MyruLcmR8C~!ke+$|B_k@Qj1;}fpEaUsb} zRNmHQ4s(3|Rky@T&@bQS(;j9ohw;Q^u)#5Z!EI(ryjl75L}C=<9@CSImKaqSDz7~* z6>Sp1NdBd!6finEtFEEP9+nX{Zi&VTey0H zG!uUTqZB|~>Hyw^0Y`F@By->b(5_9Az?KPxG>xhXK{h{Q=go&=uZUCiqE!Rw0qtG% zsxIN8>m`D+$7QCvOkC*FL9l~a3mZcDK%0gSK9spIrle&+=gfd6^Q>X%!S_ALB^_Lq z>4%TG%;X|NmoIr?Hed0LEeZi;QS@k_^sv4fSBwAt?X`nBf-dhR&+5={~ zY`FVru&C#X9Jrsbxg0wo-dF7gvkF^;q9>7f ztl8QKlAgp8))wexpNT`R4Kz7FNMNA{T& z)bWfOWyU&;Y_Th(*+Z)#XUy@>uurJGI`=iM_7S-l&7>_;<)~<~Uf}=mYYeqS$EwackFx)D z$z-vFS&i^M&N9*krH&FS##P*j$)zh>%=^ZM?jjMEVGG=EiQL1y7ZZ1`ggyN zVn`&%NN~gT5#^|#|JtTF54SS>tRJ5u>5Sz(B14IsZ_cu1M!ytRC&Vf(&b=JD~Ni_ zWcuB&LW4+~op{{p$lxsPK)T^0wPOu1)SyE*YTtjpp#q2=NiR5k`r$zR+#E;N#qvYP zz@f-RE$zGI?rC&3HT9B4N_G#nJC+_B#`J$FRz=*DeZ?QpS- zIDCuiOQ2Vtp2|I2Hw{qe zbhuUkbS^)4G{0VKX_W&`Z#b}H^QW|hljwRRCS^$tPP2eu<|=~@pNNR0)+;4{O`D&6 zk$!lIH_9{hHh(<>Kn-_p==Mh%HMOfDVAhX@(u2LNA258)Q^nfTX0Q8U^$ebAni@&k zr9HwE)O7Dus|RXRexO<{$Sj^Xi9OlRtXf&{P%mordtZ}@yPmT!$+V|?qJ?SZOS5@6 zi_w?F)!1_^HNciJ*V&bCoy|ysU5|@dW{nJbkaIuMl7?*>j7@RP+}?U5LKks~eQV!% z4I2u$#7|YAa|xDvi}K|OT$?a^KdjV#DB-ZMw}CPR4M>5z0OvG~#4^Nrt3ISmm|9#67R|jU;4#h1^1Wm9zNz<@zxrIr zohvNP=c4eydY%2N;K2;5x(QM+q}>h3r4B=hFbrdY_!|ZD_xahnhq_|+&AJAZL>%}M zv4@JLthR;tpG)u?#xd3))Yln^5cR>f=44~-ffuK!>BbGi%(f%qUgW!QtL{|!UV&rPaxdFCiY;!ENH9*V~p2*b= zr$i*AL0p?5B|UQ~EIp(fS-@@H?uid+Z(wx>x^Fe2GRGG(VT$fa$l`!O#f?F6o%TTN zwALx3XLNc0$5$rg*A382`l{S3XS>@_15WLcO)v}5HH+qRcTN`fNO6Z8E^DcTSB8j??gQ9UL%BfoCI+TY~ZfJ zaPMHiL*QCqvDqu`L!lHpu3nkz0r1Ad>J4yrkF>IfLuo)q_<0X2GuTQW;p20BY)yag zTPSmi?PwR<36uoytfvCFYs)9JMvi<%d$0EDuzCfn8rbu!k`sGTD89s~%k8jw_ixbP z??-Tm0$ z_r}3-Ca-^sU;q9O|KKtSABYD^@eh9Z$3OhTAN|ME8|$I08ing^4`O1Pd6^p^2qoOl z16oiar5K7$PXisMnGfj0G;!hik)?oPh}xpm%AU05mg5vn2JMDD@(CdhlcGU;B!| zO<=3C1N+_~9vZGF#EgL5SHzDQwgNRRm`+?rDu#W^d|HygwKc9CwjW2-2Pu3AeQ{HgiDlydVSTH-+yOH7|4lEg!~7aJ<$#)p z2?kW;a9VP$gTN;&5;2yA@6*`itw=Tnl#hx=6uB4*1K~P-o!ejLW`vEzk8kIu(<;=t zf>o}B@urh!atZtfFj_s@O}R{Wk=>_;;Y;EM&r~{_iuJv9M&Q-MJ)Vu+ErD#_V=R4u}uZrHZ?Z&=uH?XTS-{!>PH!`_q(4b%DUpqfvl?!Q??;7O&%Ri0tOfZ$_ zJFGOKG~0@H5>RY9CDPRn?AQsxQTX`@0RQ|FUoKs109<@4S2wGCZgu%sOm9cFaYF0@ zr@Ia)luYH&4$YX>1^E6gV_b7bls!j1yKGLMm$YHxq8ZknoM!oGc95AnCA#ir@!AqR zbKwCHs~o`Ga$(T1Q5-!!IxqZ~%JSxJi*I%tvC8(_tGNKI#tk4@p(u71-~08CML~1F zCATJRSDskD>2G&xPs|krOdS^6q+LFq9gHTItk))9yQ(&0txeEu38Ph#xZ=nqm4Jqh z197~FlS(6~I7}LQx1HrC3$So7p_L!TxE;obxYjs{jU<;I;5WmnGc$(^7;Wqf8 zEH>?1kl{-m9r22O3&lrVU{4f%ryq|Hn%H6wf0eknb_yO1FHnPu6G)!?;AtZ0-6j~Z zmB5PNP@bNvm3y0r&vp+s?Tx1oBb42y39AK^I2e-D86oXIWdXyS%kYMU>&>AJ94 zIhW1Hwt()AU9E_@>igS+a6vtLfx3NN-o#-Q=i&+1ZzRxPl*N~3P>LY5X1gtmFVIa4 zZ@p`)BaWE?37Mt;k|m_KONh7x`{M>Eo5%A{nR>_=0E}w@8Kb8&rEsokzBqN672h95 z)}hfj+_%J%zQ3L?)$Bk2s)6Uw$coQ|Rzgf;=Tr_u50%pa(4G4c8ZnKK#W6wHqLSUk zmw?R2$=p)IMd@^4JFd+#HM*2Z7Xs})F%cIw9ha#Q!#L81q=}sD8CnLS%9Vr+jE~Dc zUKBDMMKdM!7fBOnC~jGlMvJtbq-C@#gZEs+kO?+myQ$fn)|a#yK)9fYhAlpy!9r4_ zR_SB`Y$KjAmUT5SnNG6#MX41m3e0FlM z#qj`U6Vv!isUs^0fxiE&b?zce_yW#$6-k)NQ>{ zj5T;HnlmoB2#XTIvZ#7m-u#DJyw6Tn_4NGZsRB;&hwtq~cRgr z(#<9z=zxI%|M{1|moz@fmjhyoJrkO6M&JPg6E9$ZRs(#6puS*SRdjj;g29(J(W{rfm z*DlA5yyS=1Wu^?&T@dxAs5lj1hbDA0zOX=qC4qvfS2eT0t|E^XLP3|5u&%JUOCOhZrCAvTlD zTVs7yh!rSd8lP+bjmhSFS2am5fxogSi*@;t6(^?rz~B?}BO(fQo=OILEhWcRoHoodOWkgddg$h?gW~C$2LEpVTmG zk9wZ_Hw*USo2&b(;PiS|L71vg7i;!1;&NvosYmqlr$Cds+1crbl}yX-^ATo#4KaK$ ztT6Koz(!%DD`2)YV&qo4skZ=tyX^De^3f;uRq5WIOjF-lQMv-J@lxx$Xi zcz~kY-E=)OyzoXh0SE4KGeWSfM3-%LK-wHufNyf#1h>o1ZVr*Yl9Pexc~ZXEe6B)b z{X1XRjvqq{eV{fT?}@V01Gr??gLd%75ZEuMCW;PCQu{*39!(9x3lV}jFG$#*QFjhc zgWW<1)mZO2ec7}t)FmaIMfGEd8Os-)7ZLSe} z8pkIXI)iYg>zlpNetJ`FsTc%4&K2Suv4OB+YHHvrYQb>`>X10hkwO;2hlde=4O zN)q!79U5?%DzHcr=K+ew%+oZIiN*xHb3bnPMgOr5w(UH^jrxHVWF7mT)2NkOxCx=u zEY*Z!LuiHsf_m)C<%`ie;KUTMSWSVTJo^@o7kl^vQ#}DrzWUQ}A)*$e8qk}I=on5uXi)Bjl(;>Yp3bu~nd493nZx>)R$`0csz+8Jw46VP(x&3DAx; zt=h7uI>R$bd@$Hx>fVfOxrCi#GGm7SU4i24P1Eljd{~gm zn)!}Y(~Nz#)F>F~Y_6Mb4DCs)Y}SbuT7Ry9Sfp6=0}VcUNdQS#^_qf-8DQptuM=u0 z<(kP+LDlrsmdmNYHjhfcx(9YW(vL!oSR|a+b%9u;HZt@jooHuT znYEMmZ>>qA_6>U#rX82EOel#>Q`ms46MVQEgDj&u_tL}#a|mHZK)L8G;@zd?i4+m7 ziV#<@)@GNPY0^)sVABaD?48=OpGMFN^%%(2Ff{BJR3{n}m=Va+a&@lWOzlCvMWLq= zD5i4aNXm)KxRp@Sy)*IWoh}uUo^Ga(@+9y zik>-jdr&pzy+XV?z{m4_pOHt!^Mht4NtkDa2=kGI0~@y`O}l!uAX6|3Nm-p64f_J@ zGK8O0XO2@e-rwV{s3<0KwA5(CloNkO5-2e$HEkZ_5uxU+km_0iOi{r}loCB4tY||A zQGc+@Gsh5`2(p@POU-6#7nO}Z3onUB&XL3~IQAV?c?RLWD?4g8HuZz**^h}yD4@{+ zJmiX~pU^?A;PO;j&>(DqL3TWj_Nmx~#kVPm?>|Wh9-#TN$0M=h5;GOH zC+z?r$s#XKAPSL!FV`g!r-aMqlUFmp`uaCQ|#Gv zekLda3L}J*@U)@DO4Ttieg_20p%yprCOab>+16&rG{(IYRAmVW&YE26Wzs-8KwBX|ppNV-TCqFaWbK+5qgU<)kCrQgCvp^L$`$LtZF~4R4H_JV*l%`l z9&XTaz>P3|0nd_v4MxF9wm78vf{j-=JRMMrVMQY+HMc&IIvg31a@}p>--9ra2S-K# z6RcqyW!8;(%eK!`E3|T24ttwp#Emq-XC9?-V8LU~d~;U*yZ^#uVQYjFB54Pk<;0L*siecXK>3!g}p1fP`sXsVJLQ3EW4bT7Fgdn(7d&e07^i$zf9P7 zi7<{kxa8IxCme7I%&sOnb~Mx8BS2|wcja5FDjsoXC{e!W_RenhbkwnhCf7Vcr@;G) zu?qS2f;-zd3tW+>jc-J}FEFXBYVK=H#Whv*N8SbJ3`vi}r z)3VE5E783-u&X9Hdg_auhhb-8N@sI;YYsvq{={_h9~;_R^(rK;3@%XB4uRwM4#E@n zQq2rAtYx|Xk+(e=w*yT*q z?mI)7x6lI=IEfvNEk8|!FF;-OHSI#1V&5`y>Y_V_uGo~#eKB`N&rw6Q1R;PYm*grw zYI|D82o+kxfMEJNRgdqDIV{4o#DZxN&{?D&zy!b-WspFaT?y%q4sw7M7t)pcwx8yy zEH5^tV$&+>9n>& zAKKbJLT`GWeMtslbYa{ro=$U@E9R}y*NZLE^R8$zz#9&sQq{CIyj@IA2PQ0sd2-a{ zc3Txa?UQs~@#Z^M_L{KV1%dmb`CkfvixJzhiwk3KE-2*)5Amg%eGlms+ST>8t*6hIuHu9&irajgQs3a~OE$s8 zfz>~@-IweEtpX&T6ZAJSxt2Zf1?e$|&Aa6CEFeA)Y8aM(z6?-~Xo53{P(Kl#tTJrnQ8lB3JcGwyiDCo)5tot)fr%}G(wAa z_G|9LH_o5^mEZf*|LVJc_Va)A<6r#MfBeh8^pjutgP;7~fAZtM{#O@uI#7%E=N1~V zGkt~9;h@j~b2U$+QyjW&dvDtAWwD3jmJx8I^tqFrKmFa``_o_ixkaBUczn;~>LGWo zG8fy?SlY0c=Bk?+a>`bEz^8)#?63aDPrma9i-NxY&Exm~&Z4AT<<2vCsR`j?_;5i4 zWTjkfi~8*R*&qKF`t9fbqnUW~{crBi-~T2F2&(~9Q2VrtjsdVFR@YS0kALxZe*E*_ zoC$T`|K|4l-&_!>a_7FRPQ#+ff%UI^{ne|cgIrdd?ttiZ2m4~0#%F2jqLg~T*E3CvFu zta-*iW;iOSVgz^5h7Sv4F0->Jq{adMAnQ0jLMbAle1}Jv}uxM~O zQawAH4aIax(ZlSqLIg;rWxWB!Dqte|Y3e=M967c95m}- z)Ks;=oX}d<4j38B`L~EqxTF*irPvA)KzQZWl6PgzTMaQ50LZ#tA2Y#KD?=jaS@7D8 z99-_Q(|IG8zU%dSF)J2v^Op1?q8C|z{O2@U0+cy9?d*u>27lKYLeu2z46{R688VJB zBo|^uEZXE1JO6(o0%f~%%p<@Y()x38zjCa7`*r_05FSZnI$9gXjoB7Tu2CNmAIq5^ z;%)}Py^_qmk@eiu0P=-^DY9-mwr@x?T12>Wy3SQpFwkG*p&@<1{kv2&b%MxE{i}Sr zsyBk2JlB(vJQX7uh6sBWWjC@37R;hJc>*Sq-A~gL;q0#R0sLH7)D$;8lX_-p=3VD& zwVq=xu!pP)a5TO+b71j$qddr?ebp|TH$6jnk(2uVb+Z zFDWcDn<_8!QI-8P_T#IJ`?hbOkXz(4kECZkH%|QP0`FVEa#Z7Kk#Ty4v4p!th|qGE zIghGRH5g#Nx1n7MS*M56#wbd?>oSjz#56Q&QKEUm{Uwn|0k;|AZrs0~M|DvN5cP6- zZDBXgH_+5pKfKYob=%i`3CuT@W^5KuQR&Rd!ti>1aicn!yi;qZhkR@51SwphFLO4< zmch>!l{Jr09zZE+ja_9s6(=Ac0<>cfHQln@%Xcy*y(G+Tkm*?PGDVBT=cN(i(`V83 zu)J-XL>!nX{5ws`UwC$oO6hNYtqpqPb~g*}44 zxK}6ussZoAp3;PUvlY+AVk(@+T?2UEt7MBcKAuYccFI}4HbMOwSSl%`} z%p~3SXmqx|Gy9N63+-Ut@n3>YaElHN!WSkaeroc`m+!_`>Djr)ID`6b%=-efP23E* zjORx>kkMk&?^`7d1ED`(Ci^=d<`rrnVgUH-5G$e{spO(TBnolSib_GUR0;`q4EB%4#&*~ z8IplX_Gk-CMZYE*hBt{$sh=SmGSF-Rm|t5=TQ2BE?wamZ@@EL+5NAsn;7`A&uFI6q zkc%O^BIpH4&LwR+>>I{PhjnfJ3(B`MT@>;LL^5?O$p1S9_LEEH#DV(r>;FSA(se|$S>G%5^{*Po9L1XErDZM!A;baDg{&}u?JmL z%oBPs)wZS0ZL^`NE%geo>Lnb{x>W&X4yaWH0`l&i>@Kli$5dhXu?ZoF{={1@2_fWq zpF?AlF@-pJ;}ooCK&#U`-$g9g^vx7HO=^^4O|A${_h?>xm!a3;fX4`)dy%rkJK8+x zIn@YJ;S+!>tx5c$wF-mGW-V-t#-=E2KEl>zY;nhyAFO%PF%3MAVGu2W&SbOAnHW%n z{{Q>fQX|~x8CkSF0nW$qI{e3fL;f$|2LZkt5LZqr3FVc~|EWbb>#?jiRl#@s(_{MV zcld%wk_K8gDid8323KKAQ^O1 zZe`Vqgs1IXMO~2{@~k$YptE$i&t;W;O-pK^P{!vwOQ0IAlcG7OfvGX2q~pA7ASzy` zUeqAaJpvO>=)|Vfv>B;6hrifd@j&9jPn4+-q$ijlcgNg~%MH<+HpGBGUD@R#-tuA% z&BL2ys`tW}L$0&@kxJqe98JOI&k7#1W!^jgpLk;N{WPKo=uJ#|X#Vtc98E3yOugut zzFhVzgC)WA9s%cIZ?-y>Tpi3)PNGBzicIMEI_4eYKjN?cEyxL>{tbjk4%r881%8CL zjy+c&ex6i3o-{{+KK9&&swiJjL@gOdJj3ggYiBxRy)G5w|MUqC8Ou#5_I-HO6NqLCgYQAUin> z64IseThh52U%}^9^brZKAJI5`Pf(LvRXDl16u7Oic@gDoIzk)4iE8zDpu%v&Av{o?1j}d3wIC z0ntsJn48rUREI7<0L8Q)pHQKF|CUMPjFJq|oez{{*OKVJY}BAgCd3_6zTuQzr_;uF zaf<0=-K*ocvHQAvdbT17^%_lj5_+1xgvbBTK3|E12-A>TxO`@y{Y_UsA(r#4UiQ7a zAc`I0IEh$mAE}Se9K!M$>VA3`C)C%0)tyHwpdaI={K(T5BK@doD1CHfp{ zvuC;`@b3cH4`dcJIb1-aj%sM@^7e=Z0nI&#R@Rp2ZgrR6P6|m5QT;4+=IF5-wQU~| z#`;LYd5=)9Pj4BnMpq_u?_wB5#FmNb+_lxNy(C`wzk+>^HxXLoT% z5@2BLk7=dV5(oMswS=ka1WDQ_;_tr0F#iQZ%(G9^Wn;Z?mB#~^_`qFHtWq;RJ+(I) zoUZajR`>2ZdphhZmA5xLC|agZIp{B90w~xB-0Dw9BRpQ}5rDlMqxh=T zOX76c9E%25676ne1dyxr?o8betzY@dt5^9sui(rkYI8xe;yrE5OO0h^-M4UqdQeS2 z*6`P1*!O)o*3PM`XnQ=^k^eC)P+UF!_P*%L=C}$7)u|1Z1@M=wV+q6e4uHu{HNGtX zJ=X1=p>8qzV2WVTY7~BT4_t&POw^vLN=Y)PmlaH|pm=Kqr=fA6$UM`&Tw~^h7@d>a zR9HzIsfR;_l_pZyJ}-1Km*nAh-~N-o*&HPdP<~w2D(`biNBz51O-b~&rCre`Vah8% z*9lyUmBaU~`g{a>YkQAE%W7R>f^GePpb+*$ONGJGNBfm*h6>v>op+Y=wUw^K%QC*8 z;z;a#BNWI*B46dKrQHA1jb zM_j26mW-M3d!mUCCU!?NVj&BXhHKYmkN;12v=YczB4DXY%LXERX{o8#vJ=FIrKmOO zceG@tSW=qh7taV$mhlVH^p$z8vF%uT66wSY)j~qj74y19_1ORI&{p*<4jS4b{OC-* z8Gq1Ui8{h7#v<4V$0(0xRgZkqnPM0;=mZ@)I_PXla4F*?q4iIQCj&MOOaTzNz^P$V zC7NTzkVe1{z6?@}FgUnU?1yp7s*9?a#$Mpsuj@BAi=hJqHxJY=^S3xe2NM%WU3I&C zr^C5NJIvo07BVhLdl?PRGv$=*Jiu@ZI4%pmWYdpH)S#J6vXGzMo)oevI{HuS1G*N1 zMv!?gq`xf9WDhY36GTRJZ|0VxQlFSo8kWj4ouOl3U6f@q^JFKP^qHb+0Bbe&q1bfA zqqF|SFaJ}38LdShm_6NuOrFFt%79>gRzm(&$aub1A1k*UkGV9Hs zd-Y16D>qE{+m7w_bp#bvc6?_RAz%$#f^%>_4lu$of{8!dup<_Ns}+6gz-eJ|I|n17m0VcwgW`$T7XmLFl zT8x<_05O**SmDDS)FH_T(Ucx>cUQ6Tb4&fhWM(QUap-Kc-Z674!7%B}sB_x-is9@S zj0SclnA;M}G&~Yd3hdd9y={pl?yiWi1F=MT zm?*Hdyr$qgnZxcIdjJAl^+h{jY)o$CizaZG6*~GzGPv%Ddt&-GXLtq7dA&v5v3ear z_1SJlQJoqb2yr~TRl2{ZJIq!DOiZG2_qT=vQuRC>3qr|E2y#2gPCf7i|MeS0ba0De z3n%p6na#rHRgxqSFYm`qSrx@IYXeTd*kaEk|~$K{RKC zCPBlVk?^%#<}ViQ`!fj$JV5*`27t?8!`!xzhnK{b+s#BHn`uBri=a~oYlzt0RPl>( zT+FY@UtrM=wg4j0m3sT-={-9yESeA@;L<&A-mjO{&Af}M$53z3Ik{;E$Jmy>nAwj_ z=KtWI9aweX&He0*1MPl~j2a3>hK8y>()!hLvF+C(3@Ow|Qh481f}*&JqJ z?@xt=GhXu}7d6AluF3;wunsn}ITPbA7}3D2IBM@lhAF*WY9gfuQ>kKI20shc^o)|q zR$tz&l7np7v`_4HEz*nB$xC&JVR>fikgV~V(cOG2;p$2(x)VUQ%g#lL!mAp(guh;*#si#^Z3HRH4EskI&ixGxRg80J!wOqZI#9c?N#HmEW@(`8NH8g)Ot zG0f`+&yE4(eZysKDm7aHMaw7{MDRr~0|k3I?pH*q~T)Y@&E*$6W4eGzhEYu z!2(~;x6r@ZP@)egI*a{8F1S+o!p-N~GMFvaa`J4+esEQCcw<4|ZgeOm&s&)vt>%+!vAvbWyb)|CjKt3)J~nD;X36J}`PY{k=B0J5n0{`Hzm-{1WBrIIr%oOiUq zoujaz-vj^oP0fAph|})@A7&tV7 zSZ^@8g=22(rj*NH>&q49&xM5(o>Z;&WzM@k!{aZC;vEPGh?5M!=Re8lPft|2Okx>C zG(y$1!^!Qu70#K`RY0TF8bn(%fAzjDYWUue@WK!ga%zdT(28cF+3JV{N>o?2Le&>D zZO>`du@cW}lC%pNRiVW?M=M@PCm!`=1u(yw_*|g&_DdFrI#0kcB|G0pTgf7OIL~l+ zwl>AkPx$km8_xa72HsY>$ePFr2qeG(0SeNK5#Z29R<_8o3@D+aLruF`Nc?)<>Uy$i z0m41bqK~KJ0@w|%n!xqRmH?GQo#S?~t@?Gx$E;lU7PFN0GmV}J_$r>H+Up=OVL$}L zXC@F?-eTs_wq#-$b?P+eQPUibKet_2GjB2d7Wnn{u`%Q1`iuSaCKx^2(nN^9IFriO z;hd7#%t=;HFNPrFy#FCB@D6;lqmj+E!Gj}se)c*FyT)&@JP!Ljv~>+QXQ*(xQ5s%hK3!t94;GjX=Id+$+1L+l zxgV|vC^yZLiy^byTQInB{3viXRDunlu?6|A=r?EJgQ>>)t-mlSLq!WJ_ar)8gv9rh zOP_vq`O_iF6T7G|7`lNsk=SE$P?~hKS~ug6W37=;ygl2n0ivqz73+c>>dH7`^RGDe zLxrmyHjlSqHKG9ElCs+o@2DCso1JUK$I6nejqwm4dw`K`N$3StKV!h>z=bji7cL~w zBOkl(r2+-b59DC80*UDW$BNeGFbx`yg!Tpc3mBWPMaPTaaZck%s4<1__5cZ3sOH*&Es- zFfLo#`$(h**_6f5APYQ9ngEl=UsQJ{v!u(sLQ318sJ@#cYqF@lL^1T(9xn7lrU=gt z7hUVSLNS>-K*PT$^Gw2?2$E$(=kx%?bKJ0^ni(_5p&Q&L%C(y6svq!7^Ic0bs1JON zfqevO=`-edkDFZ7*%k60*O|V*hA2Sf{h7Q_^A>duq!(zD-6He_Dtw|2WrDtRLhw>2 zh#8>}OikTUU*fg5>d@Na*+q?Kl7Wy6!(>|C@q*+`Ay|-%W&V4@=xMfe*R^|UGgA#i z4#pXUKBiSj(<)j_tC>bN6O|S0>2S^ku$ML+@t!1BZk#X{f;9WFuu`+IQXvR3Zn#*b z*);ktw*Pa%I}k@X-Lx&S132}FY{ZeIhNt(_3(5FNb3f!I#$>6;26O{n)B z)FPEy&>X)p1`9IDf^H-M<_{4_xBM09h0O7iq>(n1MRG}o82Y7V{Z%W z9fA9ge(ty2;2-_mZ&NPXPs*+<_9S?8CL~TGsGrzjhxH1Yd>8y&PQ>ct8>K{l^nYsZYK9_$C(ooNsHn)3KVWc7J?QeSnGp{T`wWg*spzPIFt7Vif^9=$K1`RcWljy?B(q zan^OjrNDNIlb6PDKL~Vzi7s#*ZF7gz?)uktw z@mY;}WnJ*qXmJ0pii_Vk+Ez}hP5r=y2~H?6N|Q{Nm|iH!nSr@I2mH%w_#e{2krapk zMl#`CefdPKO_sMn>%v0uF1KM!-(Qbq^it^CB#w2tk(GL;TyNRZ%FbBns&(>o+k5 z+LeI5Xc0`Y1JqB4&=iW6rVTajMma^jQO%KUed6Q}775;6;)Hi@MoW`^XLnxcTB_T; z`|ZYQ0MJV3se1RDK-pnuiZfm;s00zHr0yNuHfTGgKM8&WaE!O88Vt}=F(PYDHPSG8 zjQB=l+Cs5pVI)UCZEsEbAeK8voyu_lV zMZ?b~N0dpo7KC~m{6m3(F(iDHAMxmi{2ARr(RG(uJ@L*(!>$AKx3&hcIX7p)3<^^& zKHxg|oVhOa@JqM#n9}1&f2ESX42&1L`FWGWC{aT5w+3HHL=DnH|%O|5~^ zZ1jA}Ro^m97YSO#0&L2eLdNrvKYbKQJa#5M%D$zEp!Jr8!`MQ_%?+DSimxjzX|D3+Nz^bmX)(Ow0itTMlwbR=hnamKcakL-Pj0Z@>E9 zj~sH;fXzdXWdVWqu?4UZqzlzedeE}j7AHWHf<=3dBDI+#X$=MIZ7i)%Q&d}X6xKxr zh<4%)2dAv-a^IOd$?b$e{v3Jif(V$p5!+>gMtwy+;{HZe%$R4nd4*o;{iyy^s|F4>0?_RzJL;?oRji|yO+JW`r2131%$YBeNc@5@- zpx!XmlmNhsM!fI+a^hUQ1lEo9?|%jHS(_tnRcIn%gWDH;NpVCBOQ5Pt6tEgWR$&3m zmoFU2p=@Cj;00j-z_Ysmr=1{@LH~KL&WhM8gwz9qYsm0sDLYZSo`;)6H_ANhy0PyN zqXH8v1zSkY`N$k`LHnu?7+?WH}d+IMQiIdElFzWiD`ntbg?@ODS|ln9^8ez~|-%Y#L!3cH4JnD?$<6aHB8R;F8ie zDg8xCZ2-4U8JLuze(Y##7B`-YJwW~4lLvSfWHnSZ8;LF$a$nqNJ5!89D7g4vjV&$G+p@0L^6D} z=3sdJBVvY~?bvnm+!jw;+SK4mx}^!B@&T9Qe*AHi+>x}J(s>#sc74LO^05yuU)WOK z;Tl9g^l11K2zBmuc7kd0K2||AO>8Cbr+9;f+e$QS2yOE=o zMOpSz{eq8)XD9KJn1uhEx3~F`ZAtQk?yKsqMh6Ma3LymINJp<#H@rO|| zl(aosCiG$a5Zm_9zJv^6Zl8-=w0ZkHI`*9_Y%UGpL|>7g`xPz3(56%W1NJ|~l|Ewu z1P@*uPK4?yp$237LXjU4&=Bem>92%8bi-)bK3`tg({qu%);N!A^34Q89CJmk4Ut4P zd_f*!-0ID0XYL7L(O5dRKQ!LgGa___$aTIVGtRYnM)=ZB(ialUPDjZWXZlwf=tEMZ z+DLWAUZNX_P<=>`4mp88v|5cBXoA^jz3ZEU8q-_t^S+`}JGC#t+#hB%9l-*3xgh9d|pcSjB~yUWOk9nko{CQCBiy^RQypYq$Uy(m6N!WMh6fo?l=b3+co)SmH=KUNx4$ACnTEwWm7p_dajw6aY`oug$z`>GaCQ z$au|Fxuf;N|Mm~Am86g7Wjm^~zE-kcmOEM>|Ceh8fBi@Ek{NoMUMtz9%aTW{`}qCU zq94DXmi_mCM`3oewIV2&h>)hUP?MhMAEexn3w0whrvY?HVjTm%_*`cpsuLab3yU8_3TB#biHoW z74ulBKq*EOcykn;B&8dA7fOTuMbSa@Qj$+EX1anGag}YBe`D6o>2FDODJj}?=Y*HD zb>1rvgFYvjNMI=~H(r$G>9>%6V2o)esgQkB_P~6fmXlGvDCR^8$eatQ|832$~@gOg>B<2-IK3_eSCb&J?X_P&GfDIVkD z_(|35a|Av)2oR+cDE*8{-EGP8$}2i}1KyTC^FT)bBeQW;cj>m?)rbjAEZ^cRK=9Q* zrbU_Yl{kMxM^2E~hMa-=9i2u}`W%&c2)V;BM$_+NZbE>DI%F=iAHT2pZL8*QkdVs> zEsRuRJ*A{TO*(V#05OCFP=T;hKF~FCOUoB@E=HIg`(QLbdh-SVVHSH{Rvq5L@n}hZ z?~pTF0prlQ)s@^&%Gsswdu$-o#tSUL1HC!y7)f!1HriE&D^nG>uAiultgoFxH^IqHw*BYmD$mi%L0 zDM`~88M5WhK>ty4!K`U$c9>5zUAV9-#ysw?Xh!L-PCsiCny(@onp`Y-%=e~D3pz9t zMVCwC)vr5yY>#dHXFt&v0nPvy@f&TcU&nQl3tB+$>FjhYRqn&471-Q>pAva5ypu?_ zdwIGJLQU&lp%sWh_%VO{j#Tiod54`gx|dhzk=C>PB`G^m(J-wVT-wj+B25R_koRO| z6CwNg3Os*+lzF1VnRloPvDQe@w8r@_yk(S?@x-kXvMbTB7yHSajm zQPU)vCblBQssT|WL^MqRnEjlNO$=sa$yG9&#(slmM?6L=cHxW;j_9h5nvngbB5Rdr zG%xOW!&hXXJ&-vAKM4(L1xYam5DMJXnaOa+FIc5eg|Nr;kq3I8l=_*|C?d))hxP>t$sAm->fOZf_(NTUam z;&w$w?1~4L`kB!_{+97k;Wzyjk3&GCn7!u-Y2bo1B&AYFO0pD*YT$YHRB&r`=Fz;# zG{YE95JdHV|5YW=7&A(QoDRZI5I3u`S8!qnKal(lK6`b#p3YnaPn2mc3ER92uVlGM z9%A~!UF4H+e8=`m0Zc&0iWvF9`klM zj->KPrkOipyt~b6`aizVk%jY+!pmqvI`M=S0M%()9g3_hFXOC89%-J_l8Hj=(QJ_K ziN!n%@0tgM`5YhzG+HE~$=N)3XR`kawdH~X9)bWGq^JXqnd7H*`TzjC?IFkRy6^a$ zzN+&!8_R}{xUrQSuiIUT{wwpAWZUEjIHYqF9m?=rvPbz=hc7C zcb|np>V_Hs!*$dHLe;bH`p6Y+RB>!HO=xeB)!OAPXH1>OVUmiFoNXxSB?{{1KvSfh z1jXs-%m3>Om28&7$JnapS&=^N%&*Oz(PiaPWfZN>h;R%nnq$6i#o+@Gme-;yI3M)c z^5C29Au`KF@?<FU<j6Jcw#3L~TGAub^WidulH zXFB9lyYRBhOr>2O2Q5;&9(+S(T2pEo_{lW_hX8p>-#fJYx7#uuY3Uq={~iDV*K>X{ z7A1rMFMj^cMXt=|tfaW%y9AqE%~*#5RUAL490L*}84fKmGAw}c8qxM+=(AZ%^0Vof zfwa2}Uq>zaSAUF%L=Ngbk|NJb%RwG&Udb--#`!m|(Z30tJs(Ep@%Ei{0tO=I38QYU zhCglI(JE_o24ccnlcRC~FS9xD@f76Vg1lsB(zm9q%2IXjtam8xNo4p1H+z9ghXY0k92>EDKOb|4ipZ{9b(=8gP;9B#$kb=3$Sn|kOz@S%$O zG#eo@k~Fmhto$}w&If4!w^1`s)a5)WJ3V6eKT>xbqcyX%VWu|As{UZ=4kFj!B#f({;6suxKY zOJdWcJ7hPPAn7XWR@(JwUz0vPYbG9YlHFn=d3q61woW@JZOKt#FC|DSw1A6urc+%) zI=8F6E@yGkms@@8Y;YBayH`6c&z|Tw3&7iJ=tJUoGiHB7KamX%>03s@+vHC!bopnz2G)OgXk<*$@VM8JRgDLIG;d#|(|N|BTCL?p2Y#n?O8S8N;RPo;{gb7V_7=d~&w#D@rq9zFJXQ@q1DWjS zf69t(Dn{vmc|1Pd>;#!Qq+wUtTIb8vAl6y4qoF*&n$DiUDR0a4T)@?g%YY!H8Kt^iSbdcA!qbvkb+q|`!~c&dV{&0BwR^Dc!n zL3mQbP3KHFCJqJ_HK3)1S(!)nsh9U$$XS z;cU;KnarqpiUv&A;lMSD)#-CNlqM~;jBIYWlfRob1Y`W+p6&*{NpDdKU0Mj7|? zv@)o^E^X3hVHR5zeTcL_hrXc$5w)9IZ_X-ZzCN|8q_uT-hB=!~`lQ;SJ8RxO@3D)~ zCv-3ciuw~C2M_g}u}w0os8c1)$}Y{&tf7W`c{5ouWNM&~9`=~3{N|FIW!}{79{5Cx ziI6c9@3lf~kE)8LKNnn|a*UWPBbJ`(w;C(%UxEVnkZEda2}en z&nxNsC>g-+y;5g<(a5WlKry}?hEYO}f1R10k8C;*Bdz`gr?kJf4(I1{@w|siOuB|s zJ(3TSroGp_Y_iAfSe`L=X>G1jTIv6Q4$9+%mi$in4)T54WGsoX)_XRuEpV$+zB|X< z%1DD==dCmn$5iFj(0{zza8S&A;9lhFT;~e8(uOu+j{cGk+=;|f!0?!4jvV&=js-cb z=AO|IUMs{lzizu?*wNS&);W9HWwcooeZ_6oD?v{i{+gC=Q9sc@gKD0>V%3^r-ubWH3|s5P9o zS^l`6vwBRoG&DKcQf1bOfD1BK)Qpd`yC~lSUXf8WuWisbuT|ToB|zPg+=sv9N~Fqo zUZtLxw`JjYFH{GR78yRNR8`j({cc4z+$ue!Q?be9cvZBHGj^4x0#(^-1{XD}@AYH= zQWHP{vQ-TmJjEGAGV4&e0Dy#^#jx=-stf?Xcy;g|LO7=RsZ@s^U&nK z{)Y!Lo@i;N2lR=G#Ef}HJJXtz2_X(eB@?1=6W92krYYB-$dU%Ef5XNK{0DH?RUvYu zXZ=Ut;gnjFt$W^`}gKbxn=BJ_B07oLvHY!K6K%mEdG+^EXT!_wy zs;Jaz>Q{MH*cfhp!9}pN`Pvoe8dDx~vH{K>hfQ41&Y28mWT@F3v#M&(1)zjdGwk-_ zcynT8MKZS!M1Rt}MjTtAjRiEE{qZG#DUvWnb9K36v8>U9QDNxj^-TX$Co*L zyQvQJK-5=PK61TaOt3&9iLBbOLkHiW*PVK!B>g&wX_u#*1)KjdFRF2Z8D?mMyNyP@ zt2!Z{iKv^qnx6>yxyE}P3Xb$6HD%8LWbX-JM2SyIVDO&^Cnq;eT zsMx;elnHy2wEc14&^#)EP=ULy$=S@)h@aFd(v`T!mLmZMw*vr3mdd3KYMm1UMt^)M zXtGVq(3Dbxx0Kjpo#Fjxl@FInlbWK%aFvqD)c-{BeDjkxZ;*ASutwbC8G4!cO_I%v3&0K1(XDdg1-L63PMTXJ*lurp*dRFz@FMH-n3DSStSEU1 ztOSt&CHST|vG*mr9|AS29saB8o8-Q2w!eRZW2JkAL>GpK6e5QGz)aUi_(u|xX>s~* zT0Y=6y4Okre*w`5y7ntw3FT1yDb%VbKyLk15-*6%Hs5^~4Rval9!X%IL&0M3ZjE@pZ@sGn^Tq@7AWf~+<1htfJS+4a+eftO7+m9P zqHEhNS!oQhh+K%SkHgO-OO~T4yObsw@<*F1Ivmg`OyJ`^33w*bIKq)=LKZ)C7}EEM}W>h(lref+mPQ(GhF{jqYl)8L)Sj?(lS^`UJ;O+YbF1E_yQM zH#I-is1dI?cDxx1y7O`)nVAb@7vFQ|=;z)rW&>z7O-)HQBlxoz>Ns&`(C3`Hi^){_ z5)-zlz^|*B71>@K1BP_4yQ14;d@{9(OY(>k0F6#=^fjHzM{opyKJXK|p^?a<=hz`1b#hQ(+FbE<<#7szs>8M;=8s?ohI={XyfA%T-@)CoNmcTftb3LGdfxI2kRG`8@ zPI3~*2S$T!+X;P5B!OcT7@}vO9K-JgfY3e?Qpucg{Lr?ND2d4WmQ$bO#GX+%eNzKU zIs&dP+@@mEaP)oT+mRnyfgcBfZ}IYo6VJAdW8Kwlj_saWMIVqb>@io`|QNB>W%NMHD z@a5!hDIgh0`8)ZQKQ`$6gm=1a-gVaYWQ7(SgyjF}cY|Z8_vsP1H09P3&~>;F(SMi{ zM#ug}8#sQV014k83IvYj8+`KL^zdT~`w2Jow}InVbvC!TYLPQ3 zL%$pHN^WlJ6H>0B-~NKB{=i`DJO%@7(0urn>W;zt%!L=Hzy-1&Cz#oc5je_Oe_+5F zmxcviwmTM-V=*4R%`s-kj+!WW@8GFQCFsZvfId%J#!Ui@lb{lM24m>Mld$7Xc++mu zAI6GKuV-^#pYgRT((%UejpYMlm(|-Xox0(?NabRYl7;F#gtxIro>`=jBw)xx)fg+Co?Y8Odq z4=j;#z00>8oP_4Ps`)(0F#mw2bml@FxQiijINy&jbX6PS*&1M&0DePTARKBj1dBPQ z{#MNs$7dF=d@&BY{y+`s5jU6C?!avtrVxa!`e7b1t7Q?613*gCmNllm0?|odcaSq; z(8MuRt_HX;avh;=1qy)xrSut3bH@sd{(xt-Ork#M(9-xCu+xdbc{j+iVrN`rM?b>@Dc!4z5fPJh?4i}j>I`@QQVoxIfZ!RVyui8|iJ7};Z?&WRzeDG2Sn_AS zlV(gjWXmQ-@;Bn%s~YZDfOc!GFQ>mErS?@S+TgYsLUSzkg5?j5)tf#whq zz(yv#w;=hH^WZ06($9!~;$t#cN*pTS3xu)?B#~4S6r>x`F%2~Fmp}szgD+W2-J&t? zXxKi`=ZL$+MwHkdjDG-$I$x53_~1II!HW$!c$xYY72Vr4z%)cM7Cu(GNK76+cwp`G zKiHIw;oVhSRGCP1lQ+tk#vLIy#OEP#zr=^ILsSDvYVxc{=O7N&2W*=If)E6e|D}ZR zj})XwX(`igJvNbTiZFB;95v94cnbr~F01GSYfc+Fh^af}$0oHT7n2i4#5-i60H@dc z66()TL$@KR+)4D6*b$B$qosDp*(1TY34+=Tm&Heogm9o=MQ zy~bQz4}415MD36Vi297ctuJ|N9}y_&j2p6e9k>X14=(l7e@N(OfFAtOj}@K)aNTi% zfg2<^wFUgs0T>=`LlA_*MfkUE&dKLb0}A03TLS6jfj}@l3waLXCB`=^V6@HbFW%15=i4UMGQ{6kfiB3fCZI-PCP8sm2krUR%Wv9)NXmu=as+z)!f# zdc;SNhhC9|Xm#*_q+&sA2PCw%qh&#=l8DY}vl7He;*Jz}l5;OXL>Ue|lUlurB~OA! z5D@Mz9ds!`ol7FzxRrS5YR<8BMm$3C15nC?gtiMWe33t3=t*epej=WjPhCh($IBY>P9CU_zMq7E zj|`;7B^j<N<9fQac99}a;g zp`Ro)Zf(}B`2mp7WMsj?zZNW8@OP~bWCu`p=)6~+&AvKRWY}3azflWTY0FW=0E69~ zt+CQu0|Y$ilxzpp!S;*6shNrZtu}*8|7HOEnS=$i*cC#o_-P;#k$v;)^|~J2Cn6PB zQ^L9DEKl#4143)hX-WI-dmPSy5y9{Uj>W;IxSQrI1w1pEmZlLl7x2Jq0pNof%QvU9 zDJP8M3=Cl)Kuo*>gf7-RC(L3_?(C_uDjtn}e5EWMQBMd>+%wWhPlp0JjWa3=(k^zV z+N7gKt3%ybqbWO|{*)?C@K`#lS0O}7wDKxrJpay{H$#AYR%E!IFH*pnSFOtABS{K@ zja%j!4T1WbE6yxDC>3N|V66H=5MbJ(?hJ`6MdQ1?;kPaGDSyfv>xXau^oMW%XY+?| z|M-V*zoUQt_7C6wcl^iCe)#sk;a~pfhi`vME&bu!|MrJ(|B%1^L;V%~{GLDgDSiDN zfAP~FzWuNGQ=$LU>6?(;GJ6cSg?n{`4kKEt25dI{CRj4Mtu(_@q?^FpEmMG7|M2af zFpoc5u>GD{{Zu+|qZ#aG>i7J`-{h{zr!qW$I2E${I^P6* zRToo0lD8%uwKjkttXqru{5e-I!wsqai5_*DEx#bXmIRm&om}JMgbvxHbP(7+AmoL* zz@?z0Nh=CucrA|^TzjYif5Bt?r_B9l!^r-OKl(Fn$=}if#}~`uCW}sH!O#(+`0i5% zXVyGAUq0srAhs){&Y(YA`jdq&BlBMm13xtLdl?gHSZ2~*E`Z`(!(zy32xgtipg zxtrYL-u;w+s^ut*{!I7okGb>0^e@1a2geOwp9%4Me(rRc^S|;FIw|84Mc-iw^qVr) z5$niz2VXO+bVIZ%CH0}Vf&_|8q(ZI9J#()aV-v3!d29e2UdqH)>|v1 za~|ivLA+CulRbhkd{5HO3TS_~Ck;A#g2f*NU$-$>1cM>W=zRpSd_czF3U^S?gA?3{ zv(oI3+T#q4s`|nxunv9GnI&Een@PH26B)H|MF6@LlJT}%QV^RtU%+ZNYg}LRmxEK> zh_bb^_5gd8H~AIz*m(^Rqb8s7g2RhwWzjZA`v5=RQ+Mfns?r^Ba=YOQCWhj#yFD;3 z+peB?4{89Vwp|eOHBv%`4js~v?;LRuGq1W009f#Pj~*9kC7!)+&H7NJG&eXIGN3O^ z02yXoH@fk>Fq=ZOF(& zM%g@@cnoxWD8;yJ$hJ(?OYd8L&u;PN&9{1ZEofJ`sT-xPl;nIO=(8J zlbEm9u82zEPF$P34w9bcYZa4PANQ;buJ?I8ajLy&hij|6(|BH>Epn9>nBPe0NC%ig zEkk%}G6>$35_w}0o{9k!fK~BsNXa&q`IVs~Ft>-*U@*wSo~Eo>NDg;BI+x}95=G9B(aS{x}p}W2Y$1$_WC`a=bVM$WL0;WM*G)yBGN`$Dvcf6TEM(7Yjn$wSw4Aj4er~Os|)60$d7u zPGpc7-0x`st``Hmh(uDPRVpF#w3*Zmg~4oGKvba3TTDNKwTtxJ4|egu(GuMh!vrKZS5?vBJb)^Ns# zb;48fLLyECTpQvX81v_*>w}i~w&mM_%Y`2Sn|+13k1M*sOSn*(?|Rbvm&Fo*;n1Yw zQpar5+~SF`^=LfU|D`q|;^yjXcf1HLozxW~r~f}(DT55-K$wY)|M>UbyrE+w8FPa5 zNk{i}N`y7Fmp&@!Y)=Xbo`)@8xp3~N6YZvQOQd6}`27*De{{4h+N0^y3b6Qa(| z?&t82f>d(f;(1p*9aNwYGz;?akXlDfeE~4d2$^ISRnt;Hsyg|g1L`^bk5dtm{yoDV zAFoMiQ`Kx{Nd%tq9buIS*r&Q_>XYTZcL6H=YU58?$|;D*q{PPdM5hvvg;9|AsXkh*K_Giph{ z$wbmcR#hqw7JGk{Yub7{__+A*-2`SaSLoho7Ov`mE`-$$1Dbl(me4{p4IEg!Vz%Zyet9)xKSkr=JRygH9dP}!NAyx=Ipw{$M(cX;dH*Np4#zlW!8JY%>{kub@Q zd2nfdFt1gH!ELk}h4TT%zy+xHjCxQyGo91+Egj->yn$j7wiZ8jaHJlVU<_;8ooeuF zo$eYkbs;me!(qN?v8+?hG)gBBpYUCyxGn<;Fz% zgri>~3NzqNA>D6cV^5_qN8TqKfB;1&o1z|V~4H#N@ z!=qh%?~z{G3G8`*fHR#V)2IR^ea{N*IJ9TM0nX6Mi+IUmaM%xgJBen&0eq8qYd%u< z_;rQs&X|nTX?%b?mE|H}_5`1N4(JGMCy8eP0xz}F^CcR=Ph2mYg$ImN_}b8&)F?Q} zPDlru|K|%8XH1juXtKN5mX0{Mp5z47ccex-^WFm9H}OcjJx~g|<#mN{OqmLr9bB*GHH0>uAltq=(6qin&rf@7RxKDubV6k^PU15L$q>!H zgnM}gn`6n%v4g-J8f*ieZ8B+m-0U4;iK~0MC0co;`N+K@N^ z>1*)=F?*lkqzhbX4xGu?NWDP2Mo&$GnF4<_(&0T>OxyZ{3W7&!i3Sdnh{&N+ZW!aP zdyid|#HQb#AA9Ug`C4#))jbd$;snmiq@6n}ID2deVBt8SGp>h6JM57Xcf3Zvb0ppV z+C;`zl83nL(=m=VmMu2RAg0r&jU%eh02DX{$o&@$q!(fWFa~_%RU?P}TVM@lz*b6XZ{fq}2Gmd2u^njf6+$wOb#W&7l_JIxRuZru)uk}*SZL}+Siq#Y)_@D7 zli)aim8WM-jq(HdztM4u0oFR;75=^;G~<1`5)**q?t#021M8YkJ6`PC5qBoAc#Po? zYN}@pV3Cj#`C#qH{CwhskDN96jkMD=p8a~?a@f3N*2LQl74;!0GMrd} zlH$OK97kK;xWHoX`rg>b;pa>f=in3GNvB~j$MNF<{HP2e6# z!}{1)WGrc_mLz@3fB=ZveLwVYx$;l68{7aODFHwh(tQ^xe(nZ$|D<$ivSk4<_UuzkhuedH9==N1s7H zP91i1`Hh5@{6<1^rZX@4d~)Yv;(iwSZ!+Kh{P(6wp(ilI`y7wJk`|4BZ?YAHt^VRH zUoegp;H)_w^mOtiQc?_ZICGht#YODe#-_ z9Pi$e2oAm+;oK%u8$G4tXi6u(7_j1;atIo4;5&vSlV#1o-vB>mz8$=k8-AQhiL-OT z*Z!iJ>jAKE9Id8O}WNugE@F$YkD-yXX@K!u143D8hBdI05YO8J1Hes^LhY zD=qQoe=p}ibbTP`cqW|r+GFJG&h83`F}vx-@#RQdh=2!uTEauRj-qJs8iB)}61)fB zRpy--?&N&vD3l*P{z-VHx8b6+GOLgbYzU_w}$;h z6A+`$+?^|3Uaq+Lgi98K?pzhU=ON4{P|cX0SRA!ce@|;gwc|NXe zL&bFx3-1iqHMnkJ7fQ#u!r8mjHtr>7*i6TiVZHE{&4E4a8`;u<+^0jOG{G_4iM}IE zphEvK(Ita`G+@Cnx%h;}`w`dDT_<t-EX3+ph z9F70r-vE)zpnIP(-Qq=uJx0-`Bi*pPoe(dRT%~7t6RqYVY|Jd!Jql}FAnCm;{k4}| zqfgOkbXtrRW8c{P1c&>z+NuYncLb!EgA>~}Z4t&rZ8}2D+u*^l$`3iQ>^G@S2C10{ zre3-g{WW0}3Ra(WIMdo94LM;ksqJ>fv%FE0iq$DAR@INLJJuQq&UAoDpPy+@e&x?) zH;#xk+|MM1(-xL05~fZC1g8l^lD9LtmGB5;h^to9mM=rj&~wzc7ZUY_sUR<1wtE#SyP~zdlmGH{zGQKBxf8yq4RvuFIF- zc4wMBbgG_9V~e+i86ThXJXyR(Fome>^@;Mjq#Ifwi%!H+JI7cOF{eiOT!9N<`>a}p z;AvGK|30T`1M>QOhRkH~YSTHX+j5o!n#;$(#3gH!~0Ne4YJ*(P7wqUa9 zySeDyM00qi&z@>3q@5?_MhuQ$^C|RdPY_?e?1($w{9=+mV=UL-^td@ow_CW0Ex9iL z7SPW*Cr&1?VCCuCV&cQ`P}2tMWK=-Kk@wtJdvi+#0fIwwB9Y_W$J`ZJb!%u|8$7r zm3o$nSU1lDmT9}F+M}wwTq4JYz*)Tc540sM7o7GuNL{^J-sb5`7P?j6u9m%U7or); zadk=X5PfMj=AIgIAmwq_+?)P`_vNg1czw2j-Ibh$?aOkSmwlnpq1BOffICy|aQvz?Mk8e0YUd6E%Io1$CKMI2K53&*aN@>BI949RXrNK z>>e{QX>t7|!Pq&1C3}e>6z9K*Q!ZdoX#h4^o9`-kGMvo2;#l4r^<(`g$$s`!eR@0s z@*orghePSuO5h7-FM@YsiRiLf>3Fc3$i#%n^DC_8s(UAjw)E?Y0!mrQ7AcapBTie%P4_+rxuBo|sd!qHR~ zD*X_NzZ^CyLvAk+(TKihrdh$kcQlJowtsG#$EiY6OV&7ndkxFO#1 zoFuZR-0`AvgDH&{F~s?_M(oaI8zj57V&g2?c(>RvaFj|Ey5KPYclH@V=LWA1v`=(O!4 zky8b*yBg~l1S$!cs9Q6mQ&cGlRA3>gqLx5xu`U2UP-ehOoVt>g8prF9 z7bTqi)`u%ph+YO2=f_GVsVUCYnCsTDeY#F!KSXB9oKi@O_S2RVXmJ(FT`GD!@Valn+dg41}~ ze|SYi8b#0ArUlyY0>7+1axfPS!n*(Xi-K%i zWBicZ)06|owFbt*G3`4({lNc^I@Zylk|sK5e8f97tyV?~f`D&`wa5Tyx27pvulLJ= zxzT7hP=l(RI@n~y9hkMx*>^C#Ix28(ER9{d(s5pE_NJ#MRPA-CIuFjAQ$_pAC(KpA z5GA0b>5-N+@wV_*)wf!0s=>%Y_Bi9i3l zdkj#RbhbFKx}yczr5iIZZmkq-<%o^7@)ld*j z|Jpb54o(%jtdsm2`%FA&BtQYUGVo@nIl_lj4vyHtO+9bf8QuhR0CZ~j5OJ~q=OM&1 zi-EU1q|L_}HCG)YOg$CitkVpDM;#G5_f>CQ3I>WoN|9W+A$tl=Xz zb}d@(0f=7)i!-BX$ynqG50L#3(n-TL{>2|pbF0u|)cI6s*e@QaEqUEGA$gkZ7uCPDL|mg&65djF4FiJv(6J(2>g1RPMB(&+Jq+j?W-Q0~HNG;A^s3 zqar4ILXxQ-w?|G8K$6~+GSrmuCBun#tQ9$tKP9DeWTZ)xr8qrnjMAk(+1`{A0f~Ch zU2D~EX=kr3@hF}O$8nud(Zx%;U@`D>N;e1{oxesXLt9hM1^}dE6Py4@JQF&PPVbs7 znRW?9g85u?ZJ=dMNj<~-0%$7$J%slX-1vZg1nBN3U|7&5m!;<2p)_4{7QVWs9huBK z-q+UYG3U!ZQs8IK6w{}c_U7^&8*4a7LYF3OU6=>zM-LB->YO$CP|o#2AfCY~KZxZ! zI7^T{g)F_hu|mhSg9qOV+}I9$oJjgzeTKv0q3`+@P7O#1SM9z^Cw034k~a8m5RYHO z`QVVJ<*FYG`aUqwfKcVe`dj1A|0Q+X$=QDZ)ZV26ABhbSVCImLx`eq1@l~(9=I}y) zS>j7`QN~K!S4rkYX#C0*pGubPGTfO9`8#tGs{T$Lr&GS#pu>4dwmU*L=}k&u)lJFeA=CWS-9KaF?4gIh6*10n0oXeL9y1Co4< z3lk^A_yc(^PT+EfbSGman(iGxNwfpHgh(J(ARU^f=fTggnvnv09VaQs@9*<-^m)@G`voLhv&>qo7|oJtMcnNaKjmFVN0 z$)Kk_l+=n$-%&G^6GiB`Q4)I|&rwe+VmN#R57Eu)fJ#eS>}FCIHz1mXAYr8_NEsPa zz9MMHVf5@I@M!Q|-y`eXM%p8?JTP?uMfvF!!6+CIQ>a0p$Ys&HG3_)75_ZIq&odPq)w zS{`H`k%(WLGwe3W@qx5=^iAFHlxb)T2l%5}m;}D($2gXRz&S>)DIea`-a~Y)1{`R( zjYN(vxl{XElsnhz1)+=VBYqIZEH>Y9ae{l8n#a&k*@*_B?Rc>qWfqd6!2_<+PlMSF zO%8W8;H3g=r(umC>|8g5k>>=C6Didk(l*6Y@KsTTR?T_hF;WM-g_UKd^a#V$j056$ zzK^S;kT-tPg)ylSmp8t#3fld;nzIaVum#a?lZ}M?7foSB}D>C-Ngs&)~2ycuq*~y#>BLUd`oSlw3GE0)gItKwi zZ}mVr5rS-SNdY4j!t`J_aeo)2;*KQ70tY+wt<=LNqQ~ia5gg6I>&hOc4H~n=O>m0> zAYb|g%h-8!0r-KXu^%vV3HJ4>g3Q-3?f5DS_Z#)xajX5&Ymmk`6`rP}zJzCCqkVMDW@fn0202tj@LNgTSCPeV1*Z2AUwd{bgJa|2xMwbf+j zPpCRFG@QW4L4n2~rn6jRB{cg~Q5aJs{d64KAhg6@gH~eQotCOQ6>!pv!zdOqN@Jkv zlU9}bX{p9OH8&i?e_89vOrF$Btv+kRc+KFn!abrbv8&gIPJ!)-?H>o&@@TX%<|OhY z_HkhcvAk}ICKfJ|yDrnm6680jcFO$aU@gqIlr76zTTCH<#sfBe0hyBkO9;1OpIevl zcYX}aTF$$n;;$skQ{p@6bhtV*!cB+x@iS@Ge8(?Z2yj%lV(N+&D@)(9GO~x2Z_Qj? zyU~In4bYHIB2$?@uuyXjLpiqq&&5egYV-F^hAeC9Gh9-qS*ZDL+I{e0#lq|@GlWUv z-VQ(#WQVubV^&o;Ua)pq_nZSHK~NmX65nM=20itmAFFg>vU&()+yIBIXs2z<`C*=f z1rU>oC-zA0!RqwcqZ>BOu0LBW2HX&s?Vk4^t0m#=Gu)p~oQr351W2pCDpd-4)nDH!!fjI^AQ}N9&gQ6X2OSLtf%Yoh(rB7;jL}R z*lp{2JhUl7E_Q~7KqPV2BAoe3=L%X&?RsBjfC&)DSVz}GN&*I5EFSOq`p_TwSPFy; zq~VY+xfy1y-jaPc9QDaeM04tAvJ5fa(G>q_F20!Wc0x1s(@CCl5l2xS;{d_>@ z3qY78Qzq|zG;!zY*>mCQ!-xC<)KUCt-m$;8pWI)25y4HBd8cx~(9$KNu&5EVjocf! zzKJlcfVG1A`Pd3W08vSL8{4O;g3LuU&_Mp6Z5yi40ZxV^*?4T69DOdrU@K&y1-Qg_ zfd(ZBZ|s=QUNGZ80#nh2|D6MzCnVx~;51PWV9EMBfkO-6nRxjG{H3eDq{`ed0`?NG zhmfmv_)FRksV{K?KqcrATr;X_ITI?8< z@SK=c9xY?t99wa8fsPh4LJ_WhADr2@4$?|;;4zG4{jF}T4V(u-5rWS?sd`V*a{Fk* z^c+S9auPNJc{|{5Nt`|!Z~VJ7VSs};MW@{}V%Emr+Eeb&%_H2*pI*D7x|LIRk6 zkdW@r3I=1O6@362=_!9sbt&q1f>M&KYz2?v8FuU=bx49`=;(=-Zn74E(UNA;YBF3N zQAg{hYE_S12jwJNl6a;tqCXsAGZScQ)YYdPc=Sww3;Te?w5h8}!lHbW?iqEnJZ8#$ z1vR7Kx(7%Af@R>3-fAdGAYw|54)FUyVE_X&E`z&3_0nrfQL36kd>h#OO5t^ z)%Jhy3!M{GVD;4|J<02-@_#DVZrbZlXHp!3d+kU%Imb0Nk2x)FGIr>=|M7c#!CyJX zfht8?az;(YoRsV!z9BpRK0{_Xt_3L|;hlvxY=Bq?2LVYqW9W&q-q*-uq(4T|U7%{y zxF51sr}H#g#?(UQ(V-;SCO~8(WkxJWl?|!#1R6~{6zfmfEvd-q&x}W-R>H1j3E;qDJ=j>il*kr^KM*f@J8fhT8tx*vCko}#b?XxYg6S!Fjiz~ zWsHDJClLH6A0YXYXaJ=1MG~HfU#UZdlKf8GF57ynK%xrdr>;b4f0d*PnRhuAgl~PI zG0H?~H#O%sHdt@toJ<|UfBZM~Tq|&02@nU6g?c;-BgLxFV!hx$`2aZt6|qXf2FE(d zm_aHa&2y%d=IdKQ{jd6lW|hcc>_ZYtsta2uU0VU%gMDUG?a+8OVt}_Dt8&;c)qwm;9gl#PU3Ge;h_4iaTLC)ZANoVh-vG8`!>H-vdXC)XM;)7G*2c5SQx9)uNh$Pnr;KjlMCmN$+!aCk4IcK}w@ z`as%CuGUzEiXLSkLaD(Wb(fMGKLYUe2T|6dGRVB-oQm>~d`zdxh2Yqo25&Ac?WGM( z8{SuG(0D(@5B`L#`9;6S>B{KtY6bvhGELQw?xwMGd5~ z@Sl93Rc~}LiYki_3G;O3cPb8)#0>7v4Lt4CKm4g)fc}O0;^_y^5%DE91o8@UVR(J{ zsc^7F923uA?CwMc%dIvmk|lPSSq5`opja?Be%o1+4L8d&c!JM};O zsTEvmA}xq{Le8NUPV2!xqy{gz*oyReq`iu7+DBT6mRA1=y)$1Hz#f8F$oyUNPN21L z(^ryVWTH#uGqo=Ku?Dpuk!c2t3M+y4usY-ac{cvvpZwOab3A9b z=yNAHqJUJ0CXfnP;gSSIfDNX9NB5G6<|x(}{-(nSL^|LaBsQ|l+5%re%4N8s)EOaw zX%J4pBW4vY83H_GRv^4*Y&|)Z2m)AUI5&x^!05)A!;VXS<87$n4FA-I=f^_nlSVX zQWN8q?HrgxhBDB&98@YRCe^x2&dU)EmV9kL62DCF4M)CnCou(Ap@Bhk17>q6Sg`iy ztjWH)Xl{5_3Z80BG`7ZDAOW2i7U>-$wV)-qM*uMCoZ)=T-FP_*SXxu*Pzio)8m2*v z6s*2#PcpWL>}xZBIVk=G)9@;aNErCaHx#@ln#C4$9u1dbtC_H<6j&{DSp%SFQRotiijI}S zGc^2Bwb0(9T+Mjd@whwTC(J;9Ar1IRUYT#qF~VE#z%kHHg##2%d`-IcwO%e~)Gdy& z;g5>NjV2H{3Vp}E(#6I4cB9w$xdHCW6~9rhxXCbs!Ox$-YRyELT=dYMmB0r3vSPDi zYCt3n_{U$od4o)udB+)_M?jh_wmM|e+-?CcBR7s@wp4t;Q5N%z?!I7OG@&YMd z*zx2E36j1xD{*T?SOab+EJ?g(;HI>y^Y$W<5^T3JEp%N0)zzV z^o**=R%yjH7L&R0qzPq4M*<)U0G_m2BMZ7pNd(+k_BxOb%=-Z+n%n&lyz+~RWen?>*Uco;@M<24V@0D3BYVL(+yjHmvXAvIV!1_W>S(CY1g_DG?GWa>}K`kkq~# z0_&O>+KMa@vS8j?ntNnStZUkrrI&65&n;r-(ZOv(7g|F;KaT@xMVC#OLPWkD`N$*_ z3bAJkaWoQ(Xq)Ve8){d`d=IXt)K*uKIYJiCd4|@iKC>28+{i?-L6#^oR}CVW!pP~R zFPn-K2P@%5lJT9;_0dCHk$H;D5i*x;dwnT#XR9_kKA!g8lVTPsUs1Uul_%ds#M&b?m{h<1g~!IITO*8&ewDaPZ{=gq8;-tR{ith#8)Hl zPw4_p#}m+6BT&33Y7vYB!U#t0dt~Hh!cY;0oM;)tz*^LL%*&6zsIq4niRhjIj%_u7 z!IUzxbSgZ_1u$Jw0Y(s!6||&mMHeZ$ct+=18q9)QPINS10yTu;lr9L?ABxV$Xr5GQnM5fXb%$Jry0r2L4Tnbi)~JY1ltnY0R%DIKk$Au}IeUs>gPN9Wl} zW;l_$K0;cErDt*SjDa+skV+7mo;b0hj01;9BUY4Z=~E*{NAe; z$#)Yvo9TY^=8aD0T>^AW-xZ`gyaHl>mrYha#9wiRB9mcOwL@KE*Rc~v)9+T|=w-mk82OXM=N&I< zx;$sMfL{pGIzHvQ+Mu(C@=4yN1>jk9Sy`W&#U!NyqE zMU8h*%`jq}Nu%lk+rELJhXj-LQ)*OcvjU2QD#?k^q1=&57N*udEsbN^>#t);T|+GK z_6tmT)vgtSAXLO($m+(yW6D#Wk_D9-Dl2?WmY|Lc4DksxRqSgth3GI-o9R=^*@80_0*vz% zARx2b)%&)mt9NwuQxH|;!O>o?d0U8Ev)U9N&3e-~Np|L-)!gG{J8!eTCJKAuJoVQ6QU@O5ZkVI_}-`bOpz=BT#Tj{tnQNqX~m(hKfq& z(U|Rr6Gl|FQ0dUDY|oL>6?0U z-!~jCnQ0r6d9`WTA|di1u*F!A{_-Xq5d4E%!jVHfxwS*Wax$Ql^_Fp52ktU%j&#Hm zDIRO5o!JX!K*2iuZkZlw!WLP&)hvmOzOY5QKjw0LmXu?;lbB`BacbQ4fga_ zO;jXA=3I-{1>=XItEzQ}YA4GW)|154tr}JnGC=V3t($5tm2P8_QO@~lq96=Zwcb!| zJOdEEHhWw>MW0ASYpglE2;W{|@VXwkgtP(R(r@GvU)6L{_R}?;=V}r8nu|YK$DX|q zk*C+dwV_>39X?#ylgdNmpZ$bg1hpF%?E^ChLG!Ly!4*YivbQ!(y6sFx#Nxd7X(2IW zbh5XqRl0z!{&rKn|JK~BEy;G_(O!fal&HvR>hg7KtO2AaKtqBQgL>dPh&+?Hp~@!B2vjRZ z)N{_yh+6ccuAq}h72~C#Tzv>=OxtlC(<@Xm7@$(nBgEn73?{WX0e%C0B73GilXW6d znJL4nV86R2lPv-itjD_Dvrh`#4FT2l75rkOz?y`@AvQ+a74C`M(LoQ zX7IK-ND3^GZV*^Fw*eUo_vC$Z$j;IqJ=E;5_?SLFvva5Td>!%)TqJjSAx~{o8M{bY zEluY}#f4Un3QDMwiiWfjG}TsoJGT=&UuvRYuuwG~?iH==EL<5;WzwejhKS*4iD&B~ zEmu^D5AREh4B(7iB`N{4BYR%8LGw+ye%qlFaOF zL_6YATOQf1vCOhVD~$o7PTi~-{qikoSAik&^(4N0@qu?Losv0iCc7DiU&U~jr8CHR zxCT7vZiPxJR~N&Ybk8$f_DL6%*+xxbntZd4aV{XW797r!9+;D)823YIyykMHSpzUA zv#PT~O(mMXaM2g1nlhF36%Na55;Pyd7Z*xHz@;Q7sWgn{<6NvXuMeU(hNXI4?%M$u z_z3&CkrkV;*i=R+QD&znr4IdDiilPl$$6jl6%c%3hI2)v71won)KN+n=MQpaHi*!C zQ_akKea&y~$RK{kZ5~aGCVdoFrA;lGItnMAHF`*GI1kg*@C0K*#VN=??!Dp^o1%j6 zm#TP&`;~8CKXl?Z8h+*SmN1LIL!_Nrom#5%5#DJS>Z0H|jHRH1(GYy5M5t!)WV29C z=ElGI#o%?RJSN$}68@J+hiYk5U>v#VGz7?Y0}hA>z(~)Xkl`|dC}r!flOfjyMwi1+ zft_p@CE2&ojXf$!CYj?JIBVgR=83v{QE7l16)H+LFmj$Fz(i@+i=rW}(Wq!_b)Ib? z#)OW4rz@34I*X?GG+@@cXtzrZcMZwbirdI3*uFTlaQO%!<|yx5T^Jhw<6j%WGUurT z7C@OWyYvZ@{aO)CHpk2i2QW{Q^LHVVU|17S9nV?Hd5GW@Oy|xMtaNq{-lgyl%i-_z zHHRnRRcO_mm9M*_uq!nLqr(8H!emQo=mX8q6J|GAZp=VX8LNC~DyQt_vm|`7OXKqghf)a3+~Z-(F%{ArF17;JS0bo~iG#*83}%g73$kz`L8Gn%sVO$9Cl2N}kyW7Rz%YYI0#I5d}!`;5_;k+ylCrUyg~)R04p z5NLI5xdLwLx@LNW-#ByHBTH(Il*N0kj%j$h3gIqS87}+F5^ee;vX?)l`2bBovcKj` zDyZ8d-#iPJFUW_PBWS$BxdbexQi~jwoH2y`r9jo0GBY>S03O0JeM~tI3_qr=Il{O; zat8&HkR=PJ4Ap$3=ATXkK8Jbr z>>27Z@t)|}nSYy_S1g7OH-cxg{)$dJfHEXK&6wcg3y!x?JgU(a`J7h=g=s2_$Dhq& zX9DL;tP9SSB*~-mP5R+owcE5*@-hHRJakTG+UTh(zsyG9wi)9XbN z^ASLKH#ik=j##Bdmy!{QDV54^ShaXk?XvAzEmcYHwGi;Ic0B#u4?9eGK~MT96RlmR zX3-;7HMcn4ugHlf`;)zsf9Q~)kab0}GnqPrW&pNXD;6v+&dxG)S#jW4nMe4qBdO)M zDlv7aFPK!E>Txn@{OK%}MdI;;O}!$uRxemUc{Z3bhx&P69~kN%&t;D_9f0bm{8#@e zG*8}Ev{IgWf!Lht@|kY+hB5PAQs`@>ABOi`U6(5jgD+aM7)su4!g^Zo(Iez+^uY`EXR^5gxFWPY{zU=HFhn-ZkbaFb3 zTh@UrO$Em6UMzxm-2FN6B+i5i?O<>}cyS?=?7Kkg{o~(DpBY#uf8zACc?$)&>5D@> zQLNH!=b|01yJ*M+{Gr}6fYA$$z)2OCti*ZW)Xzwc^6@)r1nCDFjOtfEE3;qy!J&To z_?@0&o=h=c>4kCgp0`4y_5g25MF_mylE)0GlMz9^ul9&L{u(f+n;hA4cW`}~G(hgd z=wLLOVtNT9d33YNUpG{!7^c<+@Tjcdr^`#JKJmm*V-ViY%J?u+~kgqbrPk)QLDyMMvm zA4EW%ckbuooeUZ*cu9j@8D`)d(e&Qo0STbE1vdMB)11?%uFalOYqF`Da%G5tUhH|2 zok#f7%*hAUa%-OF#S?7dyrq+E&Z~@sK+Q;3t8`+Mx{KXBo^c|zi8sDmuzjlM#1CyibU*6ZdW6 zzNKkV)s}x_W;yPH?aOBxC~zGch1CuV11Z6HHRV_mIiQ$o>z49zCNmk285N>^(wP~~ zd&N{CU)h+({_Sz(>FQ(M7b=FCG=_hFjkT|hiqP8jhrT{Y)=wn$p~ZR3I_p-o=f1)f z*Q4Y~sJH2IyvRc1F1vM-?}9oaO<$jLy+Dj;t}-w}}6JMV(@J!2TOYp%a?@NCFI_SAtwpP|2D+CXl@(S!*fgju9gcGB+zqf^# ztEV^I`Q^q8Yhf5#v7JQz1wZN)@e>Z}=nRWn{kF;^ z3oY(~x7)lLSnU9dFkJp_$;!*tq_w&el393;gf!oa(ASD0s z*MZIGV)54OD(+Hm5t+$;L~!j(eEVkoN3yik06ALwTPoNLNPraw`wORzB$Wa{K9%=A zmfpz}oNUXno!E7*GvaG-K41Vtt7_^DTb_>2vra%A%1Z2O#lTJcANYAoUi7vtxUuJN zWC6fDxXvsxC2nyH<+iGfql$;R4^{nPAv4!1OkW{(1H{|As9mP`iM3W`>R8($=oYUB z)VCAaBs5QkUSuBzlLcjvu*MA8lmsYH5c|e2|C)vep|#utMXX)tM_hWzt+3k6kaw8M zbo(4B-L1{XzYnyDP2Fr60q9VgTk%`(V3W_b1wa69%~MuA7v`Ob>-BqU_4x5GsT;UQ zqR(2gm+$3K;4mhj*rPZpOa=p4Wpt3C9pjfspy()ucy@ToH$9_z&oBS-%@q9OglWtHPa7C_Yceh;Wh2yg5UL?(3sG4Za)69 zs@PjzHR8H7Xv-kINOr^(cJYGU4SCl5SWCnCOQgeoM5KG0bpziPAkmL$zpo!Z{=9k0 z=?f?+Ae}Vl6`idPxI*K>M5bJozm1wRXWnrtb~@JXGkKBL^~*A<;1>XWSLyn#V~)o% z^TTz{&8bzLAo2v7p{*q3Hw{_&S* zMn{7uQ#T_sI^+t$E_BGPzoOp_JOMv_{DoQm>Swh50v1b#^GN$qjdwaX{-nwC&o#zI zGUu)r=N_*f>-4C`l+5pW6ZDlXp2e!1TR{i7n@bcpq`-VazFa&T=%I9M>)7yPq%#{x znpSguH~}Jg3>1A)KT!ou-(rg9Kmz*s%NB{JCgXc+&H**-Q#$OJV}P9F`8t1asc6sHT^Cj+=yMb4PoW zC{fXtWUSBI;MiA3KAg9Mwi6nswnoCHE$QcOSXg5$Ij;HCnoIkR_lKrqxShve{Xzb# zKlu3F0lUQ0VXi^oUBcL&xV*&GS8M(DzP&zyZuf4Nb1FK>3yyN>uw==GXEdvcHv9km zBZECgs}laww08cwDGR7HkA2hjInWX2qj+;M-0bJAP1lJ=&I_Bu_2x`hGp8E#d!nLis%Z?v^{_*G6^kOo**t@A1@vdE_8GQf@=G&$QP((*|5B}Upv=_{7 z*k`wG-_xPeuq`!2tj!p?Ya z8{f7T*#Yo`d*h5}Dw+AOjcuqIUfbFyJU>@2xA3~>y|>AZYEAL(%h4GPT=}YnP=hJI zm-Np|!oDF_s<16;E3hwSZ+u0vmy_XU|I3;dDDG_WA4_{g(%2Iet4A|UgZHEYMQw6o zQq~m`*s@RIELo$GeSoLYvB`?Oq%m#IiVinO`aR5HfPE_p67wJbC;z1xa1f>Y-t>Z) zvro|%@C*uUmHhIuw(0BI|JUBP^vJR#X`N|irXfLM2^&O6q02p`xm`EH<6S?2HEX2E z%*f2BjLgW6N7c>x0W1)EmZKI(qZS$o0UCtVusO45!GawN1S=LS_ygEy<`Ll@8TB}) zyJt1(+jXik-Ob$1&COqCpTYML>7b&NsRaP;5Bvv5sf4Ko5&cVI_6Bki?Z z^U8rXzMXR2V>n|X$7EF!yK(&B__5#OvP~(t(*|%kqeD9l+O-la*Pq}@_6TU~yOrDm z-Lj$`#Eex6Z}ylu`56Kth?6hv_hS#Ci;?DZ5T|I2_JQ{3t)R8QAB?uTxNf>-XTIe4 z0BZ&+g7As}+;uJ>Y|niZ6koV|ZDq#v=OQ02wTb=?S*;HX{RwOi0S!T0m<^fcNNc3cl6Fj~aEwEdpGpQz$lC))HNU~b945^o zHTHFI_*ZT$3=mxjWniTX;U*pPSRL~gZgga?PuMXR=v7q|+jd|&8?B)$na#*&padQ$ ztqGZjo}3ZDyDr;9ePPSlb*-SSUU^VWmOJe*MTxym|X+8o|+S10Q+>!yivBBCqO(%sB8e_-Y=%Om*mc zGN)uDiA6h6Y?1C6aUA~p1QFi&1Y%=7+`*9fq|HBCnPKN1fU5D(%xao{}y>y^yaOPP1MNr6ho>Bs>wE*r#G(MD{~ zUSvAij$ShvPjF($f=cG>IDin#Yg4>1Ao!dJ=G7#&|Mmx;K5;A=Hfj=FEYSc>vG3_f z;S3S~w3^bHLG%clq7^Uwq1(5WbJYdE2yt-v>~qnoY44lx8E2&`4CvD6pq;b1VdP zgkf=FGCv3^z0U{+m8V2VPY8n0R#{)Gw zqKalTv;bok)F+{$K_!P{*(u)_g>IH7gwi|UU=D+gkLO{^E6zg?W=!9ki{63Zj;M|`~iQz)veAOXZf`g_~pGgBA2Kx=6Ov8RITg+B7 z)QcNwkTYUc1X4#OLJW|8TKu4J(QoahM(>!GG@d}i30kg2J7 zlp0e@+;xwrsq#!4{h_dR|I2EaZ1_|y^vm3ka-cbL{abEmx&yY-mrlwXC6!sJha$$CE zBtrib2*(1lR|}UU1b2=S*P6j}Bw>#nJ?tqo662%*jA^DJ@Kmhj4OAmu(^s_U1J4|B z9+GD3v^l{QbL`&u3eG+Q8){xla|wB7(6&I@7L9EKJsY4P}7tT!hu5St~s`syQMohiSB^CU3I-x&_Oe7*2Rbb4rVEY25=!06j3$0AoYvI4@Zw4Nohb@8?kP)%K{0(V&XHiVdH0M7^4vxNs;$9EW;R>Y>Ox~wmw8J@V$Ws&_4L`*5T|r!)9Z|t8pbJwW^;B$On}%QndQg z4u#cuoUcp{@FyEbE;uFoAQp1yf>@B(Rs*wz(YPG6#RY)ndIr%h=Q;0>G<8{E&qxvq zw8y!*ULHiy@_ko~5g<{veJ#Ugq7!HIo z7nvjA>VGb-dhC8g_Qh5MXUw-g9OAw!4$aM`T5Bh$`a`-IV@<@S5vEHU&Y@qK-7f}| zcb58VqZM(h|T|pbpRWF-WDiLNwVfFS2hUnGsW1&Aml$O(iZ=cJmDN+uu69~>)gT{Y3!`C2BlJw!h*%#+yNn&h!=SYTyY9Ks8?)qH+0mEh#Nb;1AcWx#5)>SZ@d1ne2t(?H;FyR zHGhsfz@jYx<@bQOUCAQ_ut|c~M@hV@Uur}O?HUAw)U*^gbj&l@wwDUH5aTd$f+{A7 z;Pxxv4D7($+YwUi8PD$b2y|%|hi76S(hst))B}d#<%ln0(_ZrCC4ZX{Zrfe&Axb{p z6Y=o}uHnH*|H)oPm!5AsP5M3(Gy?YWqx2c)31f94Wkj@YzFzJ_d#Gt!M`Mj7a22Ct z<2JeY2>~U0l2(8uXb&n}&@qMzLno*m4sDZ4Qu;+ET5ZEgYeV4ME>KLE;xpp7dqnH> z7QJI}MT#J!)gA2;7+^}jZTc7nwM01{1wt~$0i%4YsklAjrb2-bNp?#xlFk=3Z6CTWm8dOWwIfu-B0|$=$OwQEM`*G1x|w2xG9nU4M)!Q>pAIL^5G$mq@)(* zA4uqlVTVjs9rn(+&DtF5V_~!82UM^Clq8EyE!ibsrZ9a>!_ehN(#tEbQRN zAEe)~l+wYAtW*5D?eqN)nTdK^@5PiqAnJ|wywdUz0K?-4oRmyX0Y+eiY}$mIOyx~Y zqeHs0InYjOk>Po_gT^8UGi@o4v~O~KK|$t_+Yy+?3c$UY*_jRwYKa1E|44LOd(x3M z;zpo8TH@nC0jPtB%a@trFGx>MYDCXFrye<-Y#qR}4DHVB(MMWNabLqzba6roNcPZx zrY((;O!Q+>vKpN7@?D+o>Wjm_N@t`4!2;=6>o7^Ego>3oxEi~iH_af1XIKvP6MNUt z4wr3K5HGM3JFq1?E)&BZ{HEZn=x17hw!^eRFrsGY1>6sRY2M4U$0~K=w?=H7@~6C! zjN!MF#U!g5ddIC%5x62A`d8xL(V3P7ec z9C}mbC*#tqb^rR~kAA!w1CaGWGh-at@QPdYV?0$ zGgXrcVI%YeZ=00v1h`33RUw>f>LY_de=KaW)o_hBw!{1{7?^Su&7vzid6XSq%_V+} zK}!X2SpatBXDDd1{4+6r3ckDmqEA1AZ1qom{(H*?Mw?V|8}Mfdq&Od;&YmN8j<`p3 zJ_ks}b>)P7@Wzr?6{Vdz1(X8U5amlfjs=BO-?J@8D8d|(z&55BX2 z?!DAN%DrKTzn^om6+j^vxP}S{?ul@XJojTz$=KrW;4>8kzL}L28kO6n&W7x zl)I-rbTPygYxB4`l}LeZyF0fX>2fl)fOhy{D9n?=U@1U)pK;cyoK%vj`L}%i*+8ea zvu9DjNvJu-t7I@%bk>~Sz9g?1vKZc&WhfWG7ibZGZUiG5wrM`FC)&G0 zf%{}Ogmm^=3kJ3aDt{_?cnJG(ExY3KwJNqz!`?jkY_ zrjgiWK0?A5-~^E1T|)YGBm^Qt4J4qpbX@)_5^M(KCy|Iik@WPdNXQ<@)2)aYN?v_E z36EtFfCR(F2j9{P-j#twASp1uS{A;v1td6sQS|jA;!Wbj7)SBfcSQ7pTfs@RldmU{ zjM^D76j%B!tr$tbG|}Gf8%T_L0qu;vZ&C12w<2a#m#@^$(3)nPKqdYr?ez4BaCVhA z_?F2YX$6lV3t9sJbcN?E)AYP=d*qBA>gFV#s(D;N^FZg;g z(~*eDV7!v>>&b}D`9r5dj-_Cq%{73z+pm+f47}2##<_lw2=JELdxUt;AwNNgVW*OB zA!M5)gfhu1{|$t^Q5!M8QeMz~ce`7&r}GiO&qi?+v*}5foV@7dK)m{| z-+~E2~<3RAZefcMFSgE*eKnhP>j7di)k7wq&r^CtBo#5Ow zgtzDZ2`N(-1}i%Iov*+sV$i`G^zXzfEZZrfiRTfMXp(7M@Q`7_AB)}2X{-K}FGwcU zkl?Y~#r_J9_#L(Nwj9lpEEb6JI9~m)-(SLW-^>6r-^lx3Vs5D)u^Ds#TLw`0T4xK! zVU6EocFk2gaEiwSkcwpISvUEnD#l%Api;j2&k(3Q^HjIH@+v^*lPQNB)3uR<%0mU)twgnPbH zuTFyOMn$vP@MOz!K#Bl~Pf{yoB&UKCpxnb%xbib}Vy29KbSsE?k??kCk@oh)j~eI6 z>wmaW@j@>iqNc1Ibu?LT?&&1koUbqHObx{alKD60q$Lyj-p>6o9YTjJc7c_?PI=bp zw_?8Fo(>}ecfW1V7gBuJ(A4V^Zu%D_dQEQm-)0pTzM+-YPT|TdKb5#*2#l*Fn_m#j zKf%?c#W8)uDg}}y-pqB!@#w%7zW@T0)3yhuVM2IE{^j3P&ZYeF>kc3dY>!Q$&-)zV zZ;6o_*k@ksY4)*|3y+#&T|tlXR>8uI3^*=&Q^I4qq2=S&CP(k}K3V-=+PX}TgyU~I zE2jZCIsB%-5g@fqQ$KG7fpS-NFHH@=$9oc1rjWsNs0FbvWwEbE54^$LV85Q`YiqoBy;*W3?h@r zre+vhIJ$5h(BYd!c9b{T<=vAt`keT8Q~nGfVZzNdj4g_^{9vi_1MW%2k_LwO7HReF zeOfkC8V|{K(`q82M{~&_0t<#cA7q3YWN7c)9o!K%cqWIGGDwL&J#7%6o6r&1sDH?x zIo}*f?Osv4GvX+|_fwbRdm<6iz(4IOX$BlPt-k#CpMUyvu94+Ld|ch(559Qfrz00} zavSWA)?{;<5_=f@N)p;LVh&RC@y_Vd)Z1PLbW?8&=-X4tiGQ8X2<(B+BCwQv_KXNT zhcxJOe!0N%bQQ7>!E3W<@J^24N?6sLK{4+D;R^4@9Fgqe>DX=#&-vl(8n}TWC-%X6 z&QB4N1FHKdB7S(mem>Boz!l%M?j6Rf1PEu1Afm#>gk1L>l0&^hTKN`fqIe(B$s-6{ zMAcMV=X7NN00*9)-=DTMwMLs~w={ypIZV1<{67%@PkJq5h zA=?}yb77cP39mqaBP}|uJ4A9v7R``ol10aTedJ!nkF=m|>G^xwM&M|0VYJk>bF829 z3Lru{?t`{j&OdTw`;A?9-%c!O2AVvgLE^ECg{!zY^#%YePdW0l7CBkyGrW>Fb$u*^ zz9juHC}tK#+K7{S6UD?$+|q%BtNN+nU#JuM7QM=MyQ1l?ws^;g_Shmx$BO$nA(E+^ zx}Qr2LGyRcmc|I0&yvCIxPxU5zKTPhwnv9^2v5o5kb2ae;>s;1DHMbb%R%M>F7BDt zt}2n05DYk@G-)4vLXiKWtvQ$1x^E9U*TWu};6~!MP%_;E1kQUHOIGaM(OAWhO^LZh zI=Rc?Q4Jq$j!?zrGvhWQe$STH$ji6Hg<$#nnDhquNPT8@M1M*d2mDPI`g`t|rIQ*H z);S=&<=LPgcou!k(vYT7Nb8W|oOkRy+9D$;0yduk+hRA>`eWM4TVydqBghDw8TT3a z;~XU9LT*h~yKBo~;lP8ekVyzWN-Xptyxx~N2{Z%{#GLd~B1pT|(B097ge(^69a+B{ zxlR)YV_{F7F?v6;$YXjch=CR_+KLV$g=_G>Aj?H2y>m{Msj?MuN=RkV#gwFtjgKWP zc1a_qGpK{Ss5x#-I;aZ5Ce9q^&gz7Gk5gs_WL0?vCfKorr6V0!#D`(bh>X$7rB7C2M11*awbEsft zXkfvEXYuBjeNMgN^R_Y8mfe{^50ph76Iem*GnY2r++^D5Z2+)>$l8j8L_=CPfGyAY zUgC*X&$-fTWP;ctjp^%=O^X&0jXENXKSwTGPX&;>;a%0wexAOw>%;8^c? zMY%eGNuOx?_gS?1kAMHur{bqeAx^EdJu9A(9{^4&yjt%#$t-ZqD?z-oKHhR3)xMF7 zi_e%ZcdHYv^hGUL*<=eztB>UiopzpRn_A+_wkE4^t)JWx@d1}9v`jn%fzx-0dc5{8 zPRF}#IMV9uX1YwcP)0@fp64WyL(L!-QyY{Eba>7V_KqNKL9I zxytlL&WYps4_e)JIDj7I_h8Zia9adkYkAP%x;k$)d1CjYrO%tr4>5gkKx zZ+-V6_H;zCMk6x2UmiOIcpvLY6(J1Le`;1_rFxud=Bn zF+5j0cvgyiDV~g0taCA6xJ#N*j~8^F_G6Pup-?h2O;X5DvU@L@nvl@B^9)Bz<+bE3+7H2T#DJBmtZ`_@vtB9b4sf4$bt<&Z-A>J1;UfGkd50 z>|QCW6<;B&`0X!0)`T!f?h|vo(rItKEnW_Nv$TmAP;cm1jJL!IG*x)fj^@T*DBqn7 zV1$Vu>8a4Q;#=eU(S2a*Zgy)^1@60a*8LV&A!1a|g{C>}WhR<-l4x#Rq?Q^NS-V>0 z$;8>0+ZWaZ+nQ6)>44SJIk)WSbQ|1o$&hzu&V^4|rh$)P5*8FliETC8<4b$$bB~K! z)=kr{DSu9Qeo$q?@TRny8e?mDYu%}!p9S}+XSJZkBO)DetA0~%Ed`6seVhpYbpxf; zw|%uTi}6Ic(#&jL`t#yyKds{=jbOoCA&7bELc;4@xKM}}nZV+1OXBr;NJ4w_OWNhm zhJ(hA1HUNQ~EcN++Gi1XLy;JZq{Hmq`{MhH1gm zFQ7i~;A<>sd|p?HP2|<#3%>2Em09eK?M0Qp^xaXSQ_Y#cJ@sz(P%1K@f~6PbxohGI|;dZ&v?Rsea>EE3?>* zZN4zl=u>&F;Zns1ZcDz=LvXYCQStn^&DSu#w^%T-r(rmg#v7sz-u^N+S9QK3vlgc` z=7V39Sj@HOJfL>w(>THHMG)E~0^giGDfSM-wSpAE?kTYjH!Nm`LX`E!%tRrw@*l#~ zrt#|VMc?+-$|^S7JKiqHncYA?eh7l4B`(2vZ_-Ll5stQvWM{ILPMoi0%`=%LPh*= zp`f3o_i<*ioE;@U$nn)NO}_1`m09fOn8i6Pe&Jk7RCNw{xjz@pmwyG|k6FLNrL{OS zz}BUhx3qzg)i8~$w#>xy#(>9ffBC^C1hhGe)#{)9R*op_f-<;?gzVK3L>#&HR5UF- zry@8;1n?WHk@rQsPl7>Ty>xV7N$z9kbC{YA9tw3+AF+4+8Hr1eyn8RY1u~-pOUkW? zvNwD*3b=V#wN1~J6pl1eY&z1gZw(^JYXKcTynUMqvrOI(>cqTJXTtlT|APhc1K4vt{ej2;|e&y zt;;w}$Y#I~sCL5@9=79nfqg`RJCON)&hvAL8B8a@;u#6MSr`kAVK<1>p9>)-*{<{R zevfx0^doQ9dH&)Yk&5xAzPhQOxNy?ClFZ;dR0xf}dvZ=Szw_xAPEL?WRpWX6)NOJ` z%NH@cI)?0tlPrlM!`rsB9vON!w8vPe8sD_s_lB+u+QF+GNA)n8SN|7(^V27qd7FCl z;+{Yk+P>N4o5CgS?*RHdK%&7N1nq0$}%+rDv zMN{f2hhJ;Q?hJU>rOAAj9P#b7dZrotlJCF#`=+I}k3;exiJLsvlgCLoutnnaj`WHS zPYvfjE!&26Z<2!g2s~}4Jyi9ncFX3$*iAb3FVXisq%*)0mxe(W)0z$>cCLX~*|nHL}%{s^z13I ztU8V*Y*Tpyi>LN!(HxanH{@d&5q4~`@<7UzUyJ%$Qgmn$Kf&d6b2#Ul;~Smj19>{I zZQ04)%nKFsf&1FVjHN3XOkY>D|6GhyS%fF2L<Fb=hKJ0d~@vEZEplZ3%R!!riSU7#zEhyPyN^8ySL0!hn4x3lG0~+B_C`3q_iW zoTK~U`^Guo$A;`^mF`}s12kW)kqvK0_6HubM`sZ^h4XlY@6fTkKPPTIVgY9v~x#qBBb5WUK!3w-$o3Bb#$+?BeBuT)6KCD-@8ED0k0CGCkjn5YIvDqS*& zf+V_6;YZ>n5xk=F6>6nB=-q2*GG(_dFp9D+X2E9DPZy^vRnhx#7l#F99+XV zq7!jl(#~~HR->g(isOF4=qgFA}Mqs+NeI~k7Y9}97QQ^9o#tfv(T3! zD*$Q0H+xQ5MTu@N{T9VTsTC&)Xxe;TcJ5F%jx!b9`>x7-UrbJhCGOgxaZpGR=2)0YvMTM=z${YG3NK4Z zrsMa>^?J&WJ)H{2qABfZsA!sokxJa>nhxiF>e3o@-sZHcbU7OjZ5{*PgSewCRxy$; z;=!Tr5uoeH1ty^*ku2vTdo zh&074PX;W-lvgUqLI%XiDJxK zDNo?0G;5L!IbC685v5gB`{If_9xy#V7j{PikEE24US?UAx@1((h_E`tU&|&>%0cZ< zB9+AvI!v>N=p)A>4io#@Dov&+L2F2%qZlB|Yb4;L;yxLb@>pJGolWBmGmb>BfF48J zqyAW~0!6W>dsvtQE3akQBG_oqdo3}dX zt4xt3;xvJ4x-PPUJ;jdfFe@EKS{y+Z4<%MX?5^qfYD*Yb;xv#6SqaX)d4e2hM9E5= z3YrT#zXFX!5Ztq8ofk*``28w?R~gXy$C6Rtvuwi{Z-M;Xip=%8r(rlv#gy`57yz>Q zUK|WxuRK6hHQAAYUX;evu*^?s-0^!2H1#tvk>;zn7jA~k%s3ZZKyVj#zV<18d8I85_V3DKfhSY8QW!)YT$Kdw9-p#4DIvU zs(yAA|Ic?LZ-w0sZX%pcf|4RPba5qzB;c!10~L`8d4!q*L=%~|^w+=?>zuZx4MNPH zCBT!8X(g9x`?5OKedDJ5zYt$R4si2FRvIL+b{VXjE7P|r2N~exb1V?E5AQ>cYoS@_ z(c=7)A4)htmoBNf=1E_`J&wa0Pc@xv=>&~151(UHXnn`Ri@VRdbq+nw!|hlX|BtcY zKGwQf9I=Vu6DF;wWQfI9vIfB!9v7&di%1@n2(h$2vNw7KIK^lro4Nt7shr7BGFc&3 zgvpA0z12VdLksY8xO>7~>5z1c@0$>bGG=1~ioi<3^MS8gwc|~TK+0Y63cJT2o%;JV zd>9<_oF8)p_94%kLr(+rBf=J_X_5qlYaN<(-hKJc&a=bU_qf!dMKa&%8=Td#xFVG# z9X|?_u>!hwy(Ny@eL*$w2NG!%&Tyr}&2YE*=`?Y1hc^D`=w{R5cirU39r`2b@#b4I`Eyc8+|M966FxyY!)>`b@S?t-c#;;qAzB<8?{qVSIn93D zR!_Y=6whVXfoHx$SYMF?Yx_qAdZ*^BkbVc*73D4hhap})>D19vDO^$_`2mYm>repP z1&at<9)#fk2(P6l&iV3(zmWI-+mo5t*Q@Mz7kg@47t#8cBODMaOVx!#xS@DD2vSIfkRg&O2tv_oXD& ze8jDj*;zcG)NNUNGG8-h9`4Q)7+LP7JTz6Oh z^k;O8topTNa^51F`SY1Jm}ER;eZYBm_?7m?v=(%(q=d#7^4s(|P4oKP1F)pUtB(Ak z7n;8+HaVTKdZ!?bY<3%fCcD6vfdP$paifJ{bs^nt4%h8>U!QFbKp>dlk0lA1pQoH&)2qoHu{32ANQI%4IZt^E2TFWtWr*Z+r=#AxqKhRk+k@}QWc0j&?iPRW2 zVwyv|k#aT+XI=G$;0z}N@F-lWHb-9?3U8>*$doh#UN-rc zKR?$*2ZM3P*jz&|Gqa{Y)J%CjX*e|^%h3 zN=@Ia8H_arsc(yDSce3bi{hkrZs@5@_cB#x-EgeS^HPL#>}zQ+GJvHS6eqo@8PUdb z%df=@nn}uhJtNtc^I7S%tvJx@nt@p}9&0janyXW3Da|m7JnCk4Q!N>*vG(i>PLd{L zp&~z`GqZP7DRXJxj9XhI{%AFp9gPRx)2O;9Ji~x72K;$-09BdQMc;Ql9<5tZ1n6I? z(m>a?CZ%uJ_61no7E}to&q$h5-<&SWnw+6q;c|G>pMVdgIR_b?(;2tWt{DzBIlD}3 zSdvWV7YzK2PT7oAXjhGfs*?EWh3vkb*+8WV{4^p-g*Vk=yRWj9+Vex27$NWsqs-Hl z%?S>mq1(!28!ve)l|#;r7KFO8Im>|-WL6e%z}a*KbK;%q`swO#{p@#yc4HyTWcLbF zC+&}_e`EKxJ6 zBa}}7SEdvg$rH2=gW3@NBX)7;QD#9D&HHI%_zQ__nanlJ;BRhzc1(Y@p8mq5C#og zL$Pn`Q2kJxY4hC{j8*`b(=~3Mg}~TGWGT@7Fg|m&xX3iraAPSQxVmr)W-Zy!mM52t zVm0u!>vLJKODb1C6(WNU-U;WM${n3_zPYk+#sgYOMcWo{&4@#|x_~w#Beq6|NGY4z ztxqFMb{i>8!Re25Wh}#A{tVBX#kDOEo^zgaZu6&d8h%Lk4Bi3P-{(NWN2(?^g}*?G zR%$!sH%kA4*9l0zzqtB$fE1v5aVo14qfX~|AWFKpt9xA49%`kzKx({RvWZb*c05ToN+eL5kVYCC`19>cXIQ8+x=XwojL z6dfO%bxi})ZscWqsM(kM(rGVr_kO5fe)9(h?RSQU%vx3N&(@?KKAT)> zB~xkv?d)!Q05^}kuL^s3 zkK48L8R?JppEeBu#Lybkyx_faQ*1d&DOV>=CZ)u6po41&Jb&YUmCot7JLUA*IQepp z&xxLG?d(3;NhR^)4c>N!xCQM{Zpf}k{qVeV5SruQk)&KTq z=9!wYU$D{Ot6pa~U(@O>NV8qOE&J1Iyhw_1h;#rC11z8>N47`3RSRgfJh!xCVn9cR z>7mnR(*Q&%XNLxx6rPmx(}iD196A@_h8M&#i8pkv9TI;YGHwXfm=m@M(UHyrgp*%3^tr#r0qCSF|El4rNqi~eaXod*Vx4>iHX-B zwUXeDc3$)q{4KdT6aK+;GB5IGXi6~QiXsw~_c~qQqgTG8Ur7hT;8NbvmT|Qw`t)Jq-TLoZI_{E z#rEv7o|KhY;44zNx4A2nA{{YGg}0?>#QebX-f3evw2@|v#W%RoVU*Qv43g-bHb!V; zGPE&zrBsYD2~x9EVwZw3!T9>4v|ppe7f&$2QQ`xol`#L8}MgTxmDb_EpDg zak=Fbm_r(9?bM5~4!A09k;433baW~%PW1+Ky#sV)-M0Q6+fF)8$F^_gqM}kPewuW|CU7G7p#B$aW;m~-! zr!*~2Mxxn|bT|8gKha-)*AUq3C`GTq7TnluVoVq%s$&gYKBNLaQ9V5v{cM&DW;@Z` z!T$a0`L8(HbMXXNAQ#e%IO+u6BB#9Ca@7BtJ-3g<&luI(kR z{!jBcGZ${7*EyGGLovP%#k$(>P9t^Ljf(ZhBQRLn;W}j)3sPZBogA;WGFM%dukXM; zb?cWs*$#O{3-i@wJOt*EYWZs?is4>RtJ>(v-nxt*-1wr%^N`i5!ON}_ zRC!{~xUkU;Z7sFbEe<;!(6wucNRK^1Y>oa7 zn&MB-PzEw`j@PWW1Ra{Gb1w7JQ94{%uNfa>80Pt;3sKs|qQE|~pOOI8&#*v3Y@H-c zbzp>H3Lp54niiD^?np|_o8^4>nMMn4TfPW81%Mi%nY_d#%ITBj%Zr!b)kE)be(Qf* zT5@7UU9yp^4V$7Vmc>BSb;hkeVQ~5BRZ#4>#}SW=^~RP2$$3bpKUQUJKCq`fYR~xl z9jtBo@Jx$6J^4)0`4?aCyGaY-D(3KyAtPJF$+!tp#jTyJ$~KVSEeE6#b^@tO7aYYn zy3Ji`gKI%QsMu3=xn?gRT>!}dx{E5!6(IQuV66ue1o3|BWevTJcF%SfI#s?9`rO=D z9l>)jO6lS>#HcuSE5hmVjji;bbzxG?eZK{O7lhox?jEjwP6!&1)>>EXh$TW19|mD8 z0C>TWzBZsk`X&UymN^wBq4m#IILhxq!wf9Ji+A4tBb)zypJ0){g21Qp2% zM*G?g>~*p0hPqc5_uAYxR^S11^L5bSFye(S5zn zDk0ul8nEQV3JXUKTNnk)ROy;Eeb-zGtF0<}e4v0P)^#Qm@aQPwgd*_lIC%Nmgs&_g z-9@nVFz2==R1ULWna468XwD>Kw-&W@5>j>yb8-=)#S~2CX~@Aclw>4wDw_`fZh;65 z;f-QlnfZO>1iUggbTCvvkBDU)Cd=mY3M$4MR@QDHk;&vIqqp^rqh{8^MDz;&amH5c3k1cas*ZnY?Hs2m=F0$6g13$9uqByye7cm2-Dp97L z)<|j)n@lIKXw*NTG2NJ=O=kKb0|((v$}MNirM&Lg!EMzV?dm{oZ$VmZUSdcc1ojV=yV+W7G8c!j_|=_6AG6}noApn(CFND zb29$RQ#?wI+hV_JEzfPU>i321 z9()96v0o|=jz#cfT;ruT7A`u3`7}&jc1@6@^LQ6GqA2k{yjCG?3Q%D(dy3-WzxH0? zhwgdk>I(+xZlKg{@gJbZ%7g@9Afs=v9M*0Z!O3gGzV94Nx{u;YEYrJ8Bk;eIp7XJi zBd>j*ZAL52Yn1MH+L80$y0$H)%oj8+KF4e}58hfg(6r@FTxOXsS!0hbN1r`rs7sP0 zOCJG)NIk#rRrB5MO;fp(D3&q(!5y(R&y!`wH-IR=go+oJh7!Hv`pJ~O&*Em+ARfrH zl|&X`uAEwQagJUew@LYHhj&gE-Y8d)CM#reE3A=;GPCA3vUpE0pljc$J0`Gw=3|mq zwUX!b46L^yKVhHd*;YL+(!>kvJH&B6Gwlm_C0}Lz+V-|I)5b%3{`%k*48m5r&!kVA zOO@r3SomeBfc+82E(c1r*97!L1a)ZJ$mV^HSi>x*qI&53JDYzrbYyWN+E;GA{vQOt$P8YH+WWR#YJfg_BiF}U`DZaYLC6|c z?Bq@UVHBUY-EMc8tHW{IH)p$FsVjF&?jVT5yeNm@tmE(ur#yL~$<2EuS+_Hc$F2Rh z1RhWKGh4OGql+G1_^#s|&~7kvpfdc6I;iBr$^t+71=Y<(ZCpCedQlgX!nc6KMR>Xp zZvmdISh!mk^c^~QG5YEekwbAft{_2tE2QWn^QQQNQ6?*6ccLpko


      O z4}mSD@uIOhcsU+k`r4(ZwA13{LiP-2Ixt?OyNQGC(zk2BAXa_g8dMl1fMwqj;OzL8 zJz>wew`inCqm!63F z*zFtQOr^F?)y+WV!!pc7+GC~3uKH>LpMXtxxfR6a9PdO3*33d%t?ZV_5TbW-VY6%gBBf@*{5mqk?si05TtC?ISl&J+kU{2Ah2q zXbX_hM3afd^bd;Vn6Hfrr;n2&4)PquoWsfy-H|%0XBfU^EKZi{WYqjMg<3rxdq{&F zWPR1w3f<=TKY;s+JIgvaOvjDwJ}upOqoca&QG#$eE#m5lbot3feY~E%tbp~#9nK3c zq|au9o=WkTgVr4)rvr3#92!17^+!O2ua~p84D-F!Z8mX7L%0KI)wONI|6s~lu4X)I z1Y(&_0yYvZxQ-|Vq|F^{8=(ztuA&*0f2mFwU1A%UB4gxyf@{$OmTSxtR(#iB+(G-J zYVSs>b{Ie-x7To|+V1$s@7s6ph%V$?>`X|I8wo$5x+UEQu`d`{GxTAQ8m=AiPah{p z-f7Q?wnE(Xho#>iIyUD6J`r&QlOcb(;Q^rop_g1<0i*jwYSEzk5PrRdK!?C(1ELs) z^e{DabRu!Hw6!(;dUbU9$15Q%p^H6jh(d}z|Psyl@MU}Rj%7#B-4MA z{}r3W#?r>d)XDj)8o=KbyINX*CI1U${!jFOliHb>5Slxh+S(Y}nvgL5qh=dBC&Di= zOuvE=nj6{}x_kT;f#p9V08E{~f;j&r@jtWt4Lcdy5?Xx;Ncg3`vxS3;p|z>gUpVW3 z;*KsxmbQe}hMtDD|53LsAw8iXiH*lUbY}biXRIAPY%C24o$Opqo$XvnSpHGCiHEHr z!0z7!WB<NFLQh? zB0@9czrO!pHvB&Y{+rDI#Q(>JjQ?drV<+pch4&ACll&j*pSrKw|hc3R5>i z4?9O|LMKB@TW2Q{&My&INEp9{!uHnz0*2{-G3I|^U+L^Eot>SGTpZ0U2#s89Y@A5G z>Zc{-AYo+tLjM6WlbD$rIsP*tKFHaO8sky zUzIX_J^qo9?QiI7w*S`UYk>ccYz$xASD|d|jQ`}=|HZNWi~C#8uVwU?9SMzW3_brk zzY? zm!3SmJZ@t&E()4g5s-~(3l@$}GZ>^6Dfr2vf$^}I3BAQK<*a^J&9|E|N1su3j zA>V`0de%sKf{2{$&MPY+XJ^KwLG_+r<@W7VH(vGJ5F=8(o0*t*2SQQFK9sLV+Rr9!I?$;2XTOM_|H?XDjS(LvF;Vz5G0lL7V23q@mUHswjxKvtv>2GuIL zi{}|aN5o%eN<5$nh$m+@s%h*`ud^@;>y1XBDLL9FFuX%s$ri*lGnPvNOW}8$KO|JE z!Wuo4dG_B<^Kxf^D3dL#W@HVL{o!(mfOdrq@T7Htf9da5`qaadH?U#xHPsus>GYsT zAg5WnS`JG2s1;ay?|)u1HmM<=SedJx)ao9tz;t>_=u2sLp<^RhIAm8TD`5Q6hjENL zz{aWpXyK_i2vsXZp~OH5;4jtME-2={UBn90Uw}aj5g4cCvwR#cvGuwe)EJdVnSwX` ziO`Ke0TH;SYf6yqe;M>TB7s&8bzQtXEq|tMmQ`YI>Pf(92s<}Z8)VDSI zx;%C&RfzTL?Wbe_i_-hkl`ndbhyIwjIF(0JqH1Z;FSUag&<|#wVWkB&TAUrPw|(-` zLHTkfdPM1)?Xn4T{n@WRSKd9*E08kCNJ)sukIn^h}U1F>5TGtqc8Rt*SwclFIBwM4pc3?3uOiQ2Z( zN>jb6helO)N^7aiRf@WWO_5KrwCn>|uWEjpNRVp#TKHl-bwd1150=0Pnq@_! z%9JqPpl!f2Q9ly4@1jwuC4@-mujY8z-A-c;WFfKE&9#9C{iiVm&}xzih6CEwC^{!^ zGW2n`>UktWX2NW!ds%8{0x(w~6!A>K8fJ=nctb`xj69TjD3rTsQiK@EBuOv}4m$}<_*4v- zP;Y4`iUPkV`qXk7ntn{Pe?Sa)rWI3>8IZudZ*MMQCqttu#k8PUj{wkrK z40tC=LWGlkB%2R0>@tWmR;yBGRyWHmR4pv(AwHq~{PTo`2o~B+$WRL3WWOswArjIg zU%S~E3ck<`0?R^cD)L0p&5}vyd$G#Wt^A%nKGsj7p+G^m4U&u7V%;cxWKr^?RLwFT z0UlQQsa~AC4eWkVE)&?v%WtKMhz2W$@u}|@H;ufQEVIUAN$?a~m%n5~6;qi|ie(Dj zMHwY^%`7qsD|f-+Qmr4G2KJ)Hc|B{fQ-8MPfpt z>;$q`WnNvQpR-GaBdNywJJE+IE__DBsmSWSZxu_!WN9}7z@t?)w~W8KKaPnFRhEU# zf_VTVo+;+~%r!_rjjr%~2*xHJGJ3ghk3I8DENiGD*&)S|2H+J~&QXLkqb^Qs&f&j0 zucxL*Xhphct67V}*jyW{F@QytBWlxB5#NP1bV?sJWTLr7YFlJ$zzYyoB|%a^E^wvq z;N-Sg!;lM#+4!DFsd_-mSn;-<;(n6}PwH^#J9YJ$BBj2en_Ns!z-b5ZLdrB=6|h!k zO&)Am7CIWT0urOFc}gf6>m5E2Fs=yF#ir{{Lo6uiE2)s3SkLni zXdLf?ZzK#s(BJv4`lv8~6T#WgVzg#Si@`!vp^s!U4+yJ#zBPMIQY}5 z3-Y}wNK;i9UE8Vl(QrHj-IR5{XDl++JUv19pf6?A_gjEUkZ&2=H|yX7tV0Y1E?|lT ztQ6K5deyALc@N*AMX(zcI)izGo5f=SiY!|WA%*oh2<2x5HSA>!S!5Uo*&KKw1>tet z`I3h$kCCRsjXgV+QZeNDlF}1JSkB*leLz<-6vH#jIYwBY!{NO~JUJvl`S(+Ls?Grb z1>iCIWdr{eCEA6{KLmv;`yC+#U9#nOF{OBE0@?Cd?G-^nX^X6!ENkW}p*&j7nnzO6Z^P<2_1M^acZg8a|s`H|cCaZ3W>ZAR1N`%U-Ok z=8)1DFBNFsbb=BBF1;40+L54nbbtr^eO%tW=2I*Q6-^dOO0wkfF@0}ekQ6Mo9975_&{&|w>@Dj`g0&e zgl^6UYIeN=I{sD0h60R8GR6Ksm`ETuD-bP(Do_sHkX!?XZ@!PKun47{JSSL*YHAZwQ=f@{uuGczBeD|D18}ysF zfqdRq4G13jV(nZQs!RX3_j8P}i*c3fAoc=zK`1Nhx&kUMnhZc2l~?PDi8xBSMk6H( z>6Jw_*%XG)8|d0N6?O{$_a6z2d5I86`v=UX7_Qz|EE6QSI0ew=TzjaE-x@##k)2j@ zWXXX>(zmX-^Rb5rgab`Q9yL(lP9TtiCPUlxVB7W>3dyZ*Xhj{j*n#(fs6Nr2MOm5N;(nO~Tq&*+ck*{Tjws&QNWhu4Er3u12S> zs3FTlFSyTuu zg7YXLpQD&7{y{+VBNt*&5|?IIftff|@EngOlb99E3vpSPcVKq2q>gLEHhpE$v&wPa zW_KGFia!>@rh&@`~NqD#0`o1HPvp){u zR3!H&V=eKBQ}b}r@+)4UkbX}%XM^g6HFNnw*Wu8qPbafn548JrrvTE4)Oq}99OUAi z_@Z-b3d|uxt1C7d0DIA!u?{j7-Z@_b_QAq1_&rB}s^tUB6G-stKAyvV4~y)8oIj5V z2o;V0l4Whb4EYJ~gGo1V>rIgE$zSKX_Q~bFp;`h$#-QXI?&bybsZpjG$-Oxkh+gcT zt8~+ZrDh!w7OoxfvW>cMGArZ^fTUA9*^7Z6jc*zL>y{vB=6!&9*rA1mz_-M~j6I1? z!r2y)%#iCl&$AJ@Aq8x0(($vliDp10qVPngXADH2FUKC77^vq)KA1n4V`k{x_b#%8O0p7E;_%e?gV3(rR! zxj<`&pel1yH)$X*m1#LDBxaR$QXpsA>ezG&NK0y7OFWi}5T3NzDr3Ab9x6@UcC69R zCh>&N&E{lRJecIk2YBZlL{Pv*AtFO+B0I=chrj6m+B3d|804|Q9O`~M!K61yf2S*F zw#5ni4PpGy)9KQPf8H{tlro}l(gLbq=-$YtgSuR>Ue8`@Ac`SNS`oWm5@|47gU2^kEx)H6WSBAT3~SJ_21#q&u~kWSGSk;T11 zwZbR^Qs?um_%!o$c(dV12~e7fCZOGwE9@NY`)dPI$BJz@gXv&htdU2OaZJKX&QzyH zOdB3f4u>~5Rk_2`UJkE?(AaL#;U)ESZ4&6Kv28+;| z&Nc^ortIw%(d7G$1SUSz^r zUG1_i7^qXs`9a03y2g`e6@?2Fj{@4SXRk>9^>eM%%yHr*NN($Nl1@&&Tn;v8t>ng~T2(cX7z<4ns3rcX6s|`z8Ua?p7(p{-<#+<&W z;INRgF&E$B=_J9`(JVLaF-HraVXR~_ar~#5fg^@H=r=nu>-#_$!&b7j9pZf%WUr1P z!M^9<%W=nRxHQozDfIC;R2;$wn&YJ4YDrd~Iu=7hB#AOuLNK2sWgn+1 zvnqg_J987fX)4NcVQLsRq-D15nvLUa#oHo#a#{|dk6Pq`4z4T*jCMrUX4nF;?JZ3> z|D68a9XQ%Oy0DXzig@V94H#%nyXlE!eEm}$2K5PK`JyF}x znh$EUv;ca?3JA7@beYY% zQGy@S;&1|4vF96{c+IJyRHZFJ!8BsW)i4ex4eXfp^sft*XkiJ+05cdYRI#vvV#23@ zDr{JQMUWZwH7)Yo>NYQ+Fl1e<733U>2XDW6bQF>ff?Dm2x^KeZ;W)i8ouD>rGJmwT zq$JE=EaT=IGTAMdDLYS`lH!)&HH4Do8)Mz2=1n!uS$czj;cr%r_19J~qAsrg93s!> zE!~a3dVg9wj9jIjs4;pSeT2D9F!C5b@hiE^O}+sdAM<_#c;^*%DIHFyBcAXvH%Ie> zfM9<0&w6K)Uq5;My?JBU_zk$Ed%C5u(YJL$tzkw9YIXS6Jlz`aN1!fNibYeQKuJBR z2;}(?!LQeg9unj99o4oe1T```%(LCjq4lIiv|*TR4OR7! zPLLBbmS^@%XEeja#)}N#a{6U+RpvDHZ$6^aTulrRb8f+A9@WR>;JT2)aq+j$$`hmX ztZ=!t1zUPa=7}>_`U#KvFvJbOF)q=H6ZlOGgN)o)`w{PT_1WeU8$B9%I;w~MtkGN3 zC`j_@P0PZTtrQF0kCO9+Tu3Zf4$#EM^~-N2RrQl(h2jCFtZpTkULz{E!&`?zlp7g~ zEWt9zK&c=FgiIed>iQie%7c9`7Fnv3l^Lt3R6z(qCr@>8wBr}gXU0c74i9Z=4V?qI z&fxG_FR_0!g%$ zCX=G~+cakJ&38e7+QSTrRlCh}D5~>(VQ}dmw_h)u)N)tcq2C~jfMIw{7cJAF@ycqI zzOFt|tCpIRx6nDv6ar`)@&5J=ymUQGOV`VVU-LA(aA`vG;Wg!Uj}maCRV~p?!^85d znOX&%1g!-kFUsEnZCAPFE*EEc(LUBz&BEx?Qhvpj{OiJJ4!NSBeAGLEMN7fKs9vl)g;7~MFpvfOa$vRK z3tK|D{a^-JG3{9wFNyMqDPp)gpHpocZd4U79<5aj6uV*gG%E;qL9`bZMo9P31S!lW zOLLy~EP=ae&s29ojz*qfJ$xpY5qEnKbd@IPJ6kC8Sq;aD*Y9oGf(<^;Z`}Pa!x#D&mw{~oeb#O zipFn^etJo2LuHf(QkrgsaKV7NwNm6{m6+Bc;!VpEEDP(>n|og8c}d|%tXVCe8S$GM zwzJoL55hI!$8=g(g~gT39;kEtAD+8(@|hE z4_K*{jg;D+zGX|CroLLg3`=sigx^Pj;fIi+y1-6A*52a`y6yuXtSLDe)jk$@=XLD7 zekU@*@VIq_k^h|ZB89=@?aql<^r8h{ryC#+%V$WVUoq6bO+z{r0iZ!vF>B^_b|LVx zWA8Zm5$arUr&2*8sF?)Mr1?F|RjU|1Aw43DznXgBJn93e?*QakRjD5ercJ;pPFG3= zT4=*v%$n$?!)jJKYwiodWLXV+a!cJ7IlVUgt=5o39LE^Jx2m>1vZ^b>nkA!Aj>R0l zn_aMxu3cwb2JWroS5LgH`2*?n#(!=zc1~sWV*I13<3*|6qv*M!jP}vwaHq*U_IoJ5XKJhZ?G^N9Q%gVIp>I_9GtJ8>Ny z?uE5?sqAXe7zJwknOpi)nOyfhCJgtg-zKrEueZQWGxjf^#^jjtB? z2YUo~@2wcV4McQ`QC?fQJ?!WNijR@YPwtW5kBhJzQP21h!jR2*8C;yTzr_}nuZcb` zCuvnpm<&urR>{4d#g#6dbOLK>5x_EgA3(PZ1T}&OzWML`Qa|W#4ZE`HoFeeaLY|hZ zf{8qfA3p)f6JhTTz!0sWuZD>)1}h_PD|cI2WALTC3rJ~I@V^Jn(qzkX&?CkWt^LMF z#ejo7RZ&Qly;;__p@Y8`cHp3|7*P9KC3Byr6b3|+ji95m>rtY z2uX$h_8`rYKu$Fv3aVf6mK1fY7u}(SkIp3rnPa4-OtOR0tV*X|78x?s)&k08|y zaObT@OdB`kx;|N%b=SK4E*Cn}K!miaOL71~;p68kdSXp0ly1O=9BNJE*GJ{!yL^&*tn~GDQ|SEbA>(&>3+d z*5#e1wENj;#h6rJxDnRnlb4#>EOy)$*x=YF1mR=q8Wix9L5EUR#F5kk;Rm6#^ zd4~t}Fb`xmkCW>*s!9J4f2wrE9qO4yGj}x$8&dHe!$vB3RD&I)>(G^yT#VPh~GkZiV8>O09NSIrd8C9mT(s!1NOV|3z{Nl3BEB6 zv}t&I$Zfns2=mY=ZAl6m5yys+AD7DGJFVnSlJ-VUvWG+_t+5wG8%RIRxgP~@3xAuW z;I!ApJ*jDaJNeafwoMU`E9v^!B!=QO zJE9MQD(QYCIq@4XHbGFst}GFN0jDTPf7Iv03R-#8TKoI=4<MhGH?!v^cztqw&czGzgPa$!FRs-%<(> zHoc4QISYx36q_?r1Rw$uJDrvYlRjUj;fq5a*H=m)#v2b%2^+*yUs9}8+W=0gsk+Zo zO}ZEJI}+?6k0nec3sH&CGeaW)11uE#=tMDk(zeE=L^^BDs%*=;6sfN z?OPY)6I6sy2^n$7G29@24lTn<_DjI&?DmTp$By#Au8sMp3ZjSb?H>r+(_@}ms?~M6 zmW!munZsrxw0B27Sf16VKUXbaJ#z+>0|&ai$_Tn1J~{}Ix|<;jc^hdvE~I#Lm5xp8 zGdnfQJ9uYUa95!li2&*mRN;FOQhe_bhtgb($^=7T_hu6@8s&6$z zEdP(Ps&e@swgkVxB$W#kss+pI7fq>0c*Qld!?Sz?5A~}a zzggn{8gLZWpUN^N7EL-%k7YjC^vX?vfY#ww=55OczHVDK+v$bW?k!n$9p1uFZTGrM6RpS08ty>&J3s(5)Ct@ceb;`Ug$JE$@Rk!k^7d%}{ltJASl z2RzQ0Xk!rUS*zoOuMgqZK0XF*;B7Vjl6 zjJ*4}VZm;LdfCiosP2X+@Yfl@n`~=M(cQX*5OZ`wo=HZiwA4H20$x74XJ$P$8q=8| zw~+fk$SiTEjcTDPxhoIvVVL7JLz{|`>p5V0e`}3B_VfX3^!(tFIntyw``wm5eP)&H z>hCEN?ZW1F!yBYO9(x63wH+zpDEv@7b{Eo}%xu&tFgGcA^~QvmZe){<7sSi(2%<6Y zBjIYw!W)i~@U@+{!hJjZQ@cYnwO-jZPOUg>{9$aL%|}zJEK6vX$8rhR^U$KzMVRPa ziCn{^N4lQ+_y|GxhT_RMVv$st4egx%skuA=QA}~O7faRpY>xl=PM-h$UH)_C?L1%p z*VP<Mwg|Z)wU+6Q);}M@vwyy=umkVBCN1B|;l51O z-zS~0z3*!;7H_@YL1ue@&Jp~07{_>Y!SdPju)Y4V;F`$@1)0eI`ZUM?bcYCju=RQO zD28N+#0R?@Z|D1NTRH8GUHJ*E^$97gy5u2!<^@i>J@>Uq_>u3mF*k0HL3pda(TB19 zbr@%D+Iyv=^!5fpY?0dOR~bR~?P#+e!Zyga#g>nXM;FG5jN$uU1Fg!pBzuzvzSpZ^ zDZYVuCkmCC145LF=`P^1cL}bKVbruh@0%aPsq=}7t22JH?XxfEBydlNeD9cqKZm)p z-*K|OT59s+Sz5MFGxvTzE7R-Yj&sFh1*mS)RnocGHlJ@wM<^CvTDO%fZvPxD8sAR5 zOg7?xWO3w!r(1QjQe||1o>428VUz@Hr}J>+U_saB1V(KNJh;mgGMiViDNUJiCSy-> zaGwmHGd1Rn`1jGTco8h&O6I*NZ)mJ!JZ(O(2RF?T)qK3!ZWRIF- z&xk(@4y2f*V{QEw(U_Zwzo8p@#b7pWlgYV|PSa;IGl14ag(m~A!td6Wb|Aiz60(0G z)b{R+=zv>|s#w@_TU-$i4o*fgrX0~3q5)U&!Krr&SO0;)=+#+q6-xn^B3H4o=T@#N z-Mr(m5~Ho|n?qg7=ux8!tZ#NiTb`Jf1fNnmNj}IU9};9n_8}Kkk>X&NnDZ?|-~DEW(9)RK{@AVl?9mohN=&&Df{k(V2=3ROPqT zkl0+rWTjCAWNKjb7ghFnd%!HTsL3x}Yxvim3>*s74v3`cRaBC0Eu_^YgvO_HF!Gw;S8C2xs+YZMn)YW```N*I)H;7 zU9sez!VpN_KGA~sd#?>Az`y2?g?FRnGFp z|9t=MBWPGv*FL=UA=z_-9pNCM|I0(;*O_^H1T7MjYUOQyI3?Xn72gX3%4lfVLM@Bk zrP6WhiS!xhsBhV=Ia9k?Rkk5*L)_aZ=+E!sM@D4yL_TW?D~i~#YYgV(IPXBN32`Z~ z5`>A&$W)7}m*8wx;Kps!Z~+UFgf@dnmL`c>%yb~*@_#&fT0jn=W-0u3q^hEQYG`_r z6j|XCf+4{}AYml*>T`2J*5Gfc>{Rc4(Ct8G=b(+VeFoH2ybI#%G|d5-x_)}hl%)Hf zz2|N}t?0}&h}KOLJLO=7dX*cg*(sx053-^oETn9(jA^jtD|Ya{Co*LjTo{R_<={X` zL|9HDt-nKs1dm6|jT}2@@c^^y#-AS6sjw;ouCAl7D`AS%jc_pg`0V3dv`4TQ15(#S z)O~-?#h$vzGMNCBlL6VCk*PXhYD0iERS4Z+wtTHj_=f#eJ>)%B<$G5T_F4q#i!im7 zmlXmH|H9)kTBY8U=RvBP<3vWk(~R+vL)vP|6N*!-p`;c~Y|GU!hVgam_mg^Q&n-&z97L6I zN?kZsEgD9fU%^;93^s|~WMbte8F!hb>R*t78z=hp7Rmow>=#TNTEz^0PpGFy6xxfn zY{B(gXR9YyvxZQQQxDE0tGgGT3<_5ZCm|Lwp25 zx7|i24}{Xe=SFyi1+{~fe-YrFv(zRN0is2$5?EjBZnfE#Cd(*=QdQL+wK&<{V0%?( zeXMiUUcAz%AdZ8$zXYN(b!cHP9y3MNVK0J9W1AwD*2vne250ISMq5vdnz?w`Wn#vN zGv|^`i zxCUf`1QYg~M5An{9)is$yuQR!vT&shMppp5x?luoG&hjJRN{PH!9P_Au*p)=Th#T| z&D?#l0i}vP4V$B!xYM(0Ec9Sh?FAZ9dwh|~OxxdUI-n~|axB*m7Cjw%`Z>{l^>IE# zOl+ij9r^u;f{PdRa7A%lTT*6FzEaOb0N~g?eLp*f<5m{va*;qxiI})c+&r0x8aygGQ(YkXzl6%X;~0zo`%2||-0luhNlOleL3uHM3c;1M1R1Whgw=is!8 z0vT^!bTkrdlm|N1{U)vJ_rf~1W!!iG;u=@RL(@7~ATQtF3cUzZ!d3hx7Y8bn5x2#@ zM9mom$z)BIFz$4jK+vWrop?U5SNJiA`?Pxu*mSb&dHn$I?AZ^3&NS@UXMgx=U_^SV zTO)HP9`)_%=fhy$t%>p>*FMSg!Q1BUyF#L7vrA@|89E)E*B{JzK9vndu`#=0Dcc1< zvn>YM4+O5KeJjfPpfY*JvG2t<2RUJQ^bk8ap+Ry9%4BQ7q7LwQSnx2OU~2cAi2)d_ zaESP0(9pq4KDx*qQ@N`(B^D%h`3<037wA;kbR0=VeH{MkY=WTuZKaSX~v%;DF>Z>iaH`la=kql*C{El)*RYsj-Y@xPk!sqon&M{Uw z6!=+r!j7_B&hp(m9wH|*_{2aK)OAb^(--#!>ih49YuRV&j;)FEh}r99PT0`5 zz|lUlbV_IkEhM@GbI$PNJ1t(LDkc`9#Rb@Tu|h9}Xop>squi;54@Go*whUb}m62 z13JC9m#@)5<88clM3rmefxOzM<%*NmRSnvP8fiL_Dojb|+PstQuuSzy2x#BzxyE|G z2g3!sOsm9OTkt;xw;{~%jp#Pb6=hw*LJ%drT|~g+Xs3SHk4#bX^uW1K|GKcUBs71h zcFd}^q0EA*v27Fa6`kI=E?(4xJRT!YvLyR(Q9H#8=-p#z`RBoKHHcY49cJyBe2=`+ z#mK^N&r=qp?!;UY#ywxApev{tp$G$0>c^O?GnE_f#Gk$c%R?X!9BP};@8#cMM#OOC zn^qh-4c>8eJDw6nj0a(doxHA{DYM2PL;ZYx5(CfiQc(A!^hXD0dix$Sp*744#NS$b z{p8&z{jMdC-BD}iO0BdzNMcq9a-q*Rk@d4Zw!fcg@PtVM$TMn(2`8N2)&|=vG&*I| zNUPm_8=JQ^HGSv0hb=FzdEeA0kgJ><)O4UencFgNm+75E=`j*ooD_HzFvv4btEyb55BRF@aku0$ zR(#GFU@gvgb(dyA18|KYxSDLtB(I7aIn&$gHIORX)5YVigwm9P{yqsV#()6Ytg>TCr;jNB*Z2<^K3*QwZD#81vT_}LTBqG( zmFCdxQ+@Mwm3D4gRtaL2g#o)`rObQo7l4ibs`(2ogv?sO4#rBpEZbkOq{N$V{=Gl{ zm0x}H&2PQ==$C%s&wuG}{a^p>@4flxcmK^V|DC`1hreb?bk*0HbmZ&IC9u!dwe0lr zmU!y>bU|gXmiz+XJ@1>_Ds$8BTk9|W!Qc6dzyDirKKf_v#kXxPFT3@u&(lUaZMM}PR{qhEXT(LZ_f(La9k&AI%-SM`Olk&m1;= z^UYs>^UdFU^UZ($=Hp*_^YK5iB+TpUyjy%q22ZEdT%#UC(EGoA;b2}E6m}EdR9Q7k zn5}!WE;8_@_2%PWdGqm)-hBLDzWMl9-+cT}rQLt_<{RI5^UXhc^YP#2U2V|0{B3<4a z%Ij;|EqWHf2Ax*&+<=#`x0cU zRh={PaLl_Mc4=G2!L?l`VhG1-?xdQdQ-7skFkjpGQ7j)NsEpk(bWU%p3-5UEbp4R=lx)=ZjyH!^B!^3XJ2`aCC6c1^>9*M_jM_| zin^!Xv_1n7Jh@%S9_vSw`kKjgFpV%QkS|i+4~|Fhkryx(l`~e3t&=MDXp2r7 zfv1nO`bw_Vh_`efuBDcGp1A`{B-C|u9aq=!x;lZltFGvY%4EX*;0!~{vuP%<(T87s zZ7NPDX2wY*4rW_rhnnXT7qc{xvsYN!ItgD_J?yLNfz|1JYdx}|AnbTy=XKlHiTXMk zV>)4H400NK$(x^j?E&0Ziu+2Ajv(x_@_W5BfZj_->+? zb^U+wvt5Ln)~>0WcTNjDSL?j#wHI8vWR8yRiMhUOW&`SD;4W90AktxT49nI>tjwJ& zf-uzKU+a6hcJyBHLJ^ut^-gs1e7r*pEO5(=1e05;@M@E%X``cdH2GcI2;#1}Axk3K z(^oKgy17f}q{rpk__9sVaMyoZeJ5}?9^TzQmF+iySY~OOCTMq56<#>8-kET1{2KNfJ>DO?H3!{Oi#ojlspz#zT zgr$g%(~rAt!H(jE_c|#>-V=lOOI~8+Ud1RlD;B;D0mlg49)YPZ2ADzCmuuAU&Ra>& zo}U?i-|1TQ`&Pp#zw1 zuq`sCo$02Y?|1EmeS2f(ZQ(z?zS-~8dD8fK-ov0A)S5f;ol5{cS(!`64>~-0iQ`T# z(E{5g;nR4Kp>vqe;*VA_JX0^Pvr_RhG!L{}P}qwf*X?5jnY~;zMfXYh6I~MCy<|mh zVH_2=k(sJRwM!tX4?Vl)JqE6J&HHolBd%YG_jv^FJ9j@f2^&ZU@QGNSj*4JHR-h z<6XzrmRZY z5z5e%lX$i+j!9T$>!Ct@z5!l6Sc zli#N%2zIQp*OEQ(wW3#x#KHpW*wJK}WOjUl$|67BH_KgCTHu^DlOAno^PJ2X?MaG6 z0|iUc0cixe;$6^I|JwR6Gaq)mlebUNFMGIB6}#ggMqsX}}ZavR&=gk^wV)-M}2^w6sl@=4(@;8@n(_ z0|p)lytX!No-fsEFM$)j6hq5+(@<;K@c}RL+^4+g-lAhl4Xw7?TCrrlaV918sm40H z72iPeG%OC;1WEd5qr0H9HPO_ECfx+m2TUD>rN@dSi7GE!ZM)+HFvQ7HHQ-y3T=?MW zclsPae;8U~fdHy3ulCfrJJ39eYXoQjesOr)3~=JDe`Oe_y@o! z78lI1QK(0Gb||-L{X~UGh!SchHvXR%FJ91zkMT7JrUuG6i<#seGN5S>$J**y76Q9m z8xAa-#BzP+S+(}$?kn7+Zt2~kQxk56?Kap$%>OYa1?LWRYE;aJkZ4y` zN!J9ObENkCk_p&d81FwR-#=#e3Y+ zrZlR+>XMP^n}@xwBIVEF@%yYN*udIr*N@*V%xwAioyYI7$$3rJKCjuM3nqR1&I4x8 z1J@L08YqpNVaZ)>ow=#2Es~uMHR)QdhsJxPIkanaQQL{G)>f9@Jj@@ze?;SjbohTB z&V}f|e*<}5H|9$n#>E}ZTK}XS&e5xn=?ZH@i5Z1q8BT*RZ(Msp|B1HRLm>58wt0r4 zAjvZ@PcBIfY};_nNdk3Nb&`cWRMiIfUOlM&j=@1z+G1!WTMYx&vdxLdYktIB*3slN z=^O=}lWEH6*f76EV-27s%%e8{)$dc1$>9>y zV;Y+^BmUI!SONdFwK_2?<&v%3FmomJtCxIP*5Y;6nt%4Y;3ud8sa3QvGqFssQ)^vt zJj5|IBZeGM9jMM5xy#mPjVNYw(7&#?z^}P^){e~+zf3-zH}SxOva(^- zBRk#@?1~P0b)mAHDNy7ir9T5EF|AD|55SUuWh}RN3KQ@iuN(_SwmJt7QNN_$ID@)R zIo-l<(#VTpMsU*;I`^a(2eqQ7E*gWLl;L*+Qzoa(=Fv&?1dXsBY*m+Hexv9Gq*hQr z(`I+d%~We!jM8}!f^D*TH>omK;4S6ZHb0>SV8BK0#I!ec_8|8~77r(;Nbz}&l=#*T zl&Gc^pt7GM25wx+ZJOK^OdDD5y_aU%4n<5J?O7+NU@7yz1HGmt5AvS294lN2jTwe& zS@8^y*BipTTXVVNk(TH81Uc@=q*<29I@YwWvx8c~o>`Z26==QX*oh^(UcvO#ErI{@ zw%!Y4EX(zYnorekVFMJm?N$craDWVCRt-fsDcF1M**x)`jt;kJFsruCc*Yo=!?xCk*GpyIY#TXvgi$C-wk&9@hmmqB zM|n9MM}s5<{Wn2?Q%;SDbE-;t(a|&__nC)wL;ESTfyD_oAODbLE2<56iD4q^3<)Yb5-h$-K=?T!sgAJw8w;o{50gCWM(XKOAUhPIIQj)+3p-n5P zsf18xu(mlGg*-mAGsau3UyH&pjL!wny_MrQzsinAW^q_va-VYrBN6`(B zXjZ|pqxRM#17iZRfi~JQZP-UB>Ef9D0WYQmCHbsq!F8jg=umF)@cn$|k(iD{)mb3F z+a%Uy&j9JU3N`l&5p2UL8eN&9?iCh*MX{CpDh}xv9-bb=yEVuKSj=CUJ!zCgem@x9 z3IO5Mv-1p`eQl7J)v4@Iar!aEtA|oqT>3Bx^`fSkXODS{YAX#Z?tn2qJb&0pqO98Z zn?L>H1+)HSO{-06%zY?>)@`f*-ZNsy>Qs*n^$v)6wb{@)MrX_#vuC~3S;dBZCW9w@ zR99N=<^Uk0AUHj1da^+G>Kf5cSh5rbp!?0N3gjobI=s+^7&TSNQh5`{JPDKIRE`7p z)Yl#mN6sf^QIor#fTm!vd#LQBpQ2_sj|K(CrmWY-p=JP1Ad2f?C$81dkY zJ;%fG0y4P1&y3XI9T$B&XT!pXjIn8oh@+}OyY9ju&E3*=e}xd(Di_}*$*6{wtCZ^1 z+Pn!OJDD~sUAF|DZmm{~d4L*Rjp2J}5dh1Qmz~S^o)7eI%>?@Q*z1HbVdL0`5mPqa zoy>t3d11Un0BXp(`9?w=`jM7YKNG$i9(9w$<7CXkb6Shj!`M}Zg)i0PZ~WQ!O5RJ6 zW6TR>U|J82QZqhgs&90Blt#zL=NXOm-ucAqIDGe27@irk9xzQyvEmJwg+$GOu{K%7 zbb8%Y>)p-($g|F9tJX%7zE*X2xNAbBDdsG?xD;OQOp#m)ZNbE4W?KWff`WRyxL)5% zf8_NOa^HB#!cJ%<$c@*$`{5$-zSdz7TeqA%vT;~jBTy}edJHCw zNyMXe?u8lwN=j47!g0RFRNBxbJK1D9h^nPsrQ zD3Q{3q>1ikA#sH2aFi2qv=F$9*!!9}hb&0>(ZUJ)wxPW0sBVboC0#1#U8Nsu-z>&! zR#bq+47%uuS*v?-@ImV^wZnmy^rI*b%%d&o7oLGX6cgBCEYySiZ7^lqqUZu(*?{K= z0smdt#oWs1GRqE*UWb&a@hr*1&~0!?e9^EXi4T~gug=}y!Y=1L>od}tH<&a6oQxx8!w3u?13u|~Gcu-QQcl+A1Nm03e& ztV*&X=Iq^A!?WyHz9R?4ykekkwB$?+9hljrcVTXzNvoi!+Ncy}u-rd=Th`XlaMu~n z&4_`pq6N^r->yShC;0Rv@X(<0Ke~idGDFPXNLPd zO#q$JSu%yH_JR6GyW~!)G_cPOZKZnXp5@XP+OwvoeOzEOm@Qjb-R5182DHz~o@ZOk z;*oB7fyFbOaE1|o2O>!e?$8C9bmFG|41D|Z6G>n8tXa1d;q# zUhvM?Ygfl@T2@=$8CxEo9s%0{aEJUeOE3JsISt6a+Dg(n{!kPhU~R5;5b#%K#zu}k z3ih_B_Df zm3yf7O}jBe?H!Lb5Z(2{ccrCvzJda`HFx)N@sGMXQZ;W;Y0Lw;;T4p@J0+>vT*fL! zP{1J&1{e5!$$dDPjM{;%yFW{A##(=9-oU_;^e|OM?CV`w@&XV{b33q3<-Xie2dCq} zQ5Axv9Q+f^78X1Hm>E5wuXF4k0H8X*k_cC5Hs&&wpAgxuX5yyYpUN40?Hec|H3cYo z9q>K($*K8sL;C=c8GOz;;p<+c6=jNhB^(I?D6g=UeHIX5_XfnA7Ri zMqWb%gcvB^luMmX#DPTOrVS*1E%VWh-=)$2^=DtaC_vs5Q)6Z{C%Ol@%SXpitf9+M z{lEw7zLJ69PY9hYr$3!5bc_Wo%XO>uukK!V=$&_2de2z)8+Iwv8v9ElCS~*`IdoBh z%1|BX@n|l~d#ZSAkN|qS+~qboG||_Sf}Xs2n~_R^5p%s;fwiGi^3=~%vj40dUO+?U z%iWVo_hkuHHO;dJ#f%@!RFUW7#jzt~2B|GPKqk*Zrw3K#;w807bqi3GM4{t$MOyDq z44!3ZiR3|HYHyyk_kiOOFvDXPp<~2>Y zL3LOvyuk#+dX8Clb>2OX2$^1F5{x^7V+`9O2Dr!yts&^i+|a3lQS7&{zZ)KxZYs>P zT9dQp(Fo0tG5m9c$g8*(wrj+(1xZaI4|dvi-8#tiiCyHZ$+H4(A5MY*M>xK~iHtbm zt$D&OJ7#LUfK=~ze!o-NbtS7O;3gf7g=bA1}Nrr3#Vi+2Uo{vd zYR2qmB2*=A>Z1EP%x^;bgt$hDAu6h^r#e?Yt_t$Ndm(7$p3nHR8PNeA5tq#63nvC- zhT>Qfq%#idbe?yyhsju1CV9Yo-3+P`tadF`VCKOntLxk$VK*ZTw-aFtdOv9cT6^$y zE`4gnUCp(=+mOj~_6FM#-yrT1wR=l!c9k#NgOHn_rLcJ5#KwnjEfWYxXa;G;K(<3$ zXDi9lxXVv(t?U~GmX)`a@{B`yTfVheB$#a8q1nX9_0^%Pw0FVjNv2()m={!4hNH#L zPA8h1JIjTU#fqgkm-jWa?z2MdqNfY-=xa;uU|u4z=y%gV;jX&HdR~B`VMfC| z)B0)xxd(W)>hnYMjuU={N&om=&H*}#V9*~Pzq4diulO4Fg=9YnoQQ5eWYDUXm@fKT zOphc5ok<;!c?vyeP?mUWNy-A64<*4XBV{G#{tVTw>4humD$2+nKBwxUUDva6Byi8`+pO>22wNK>9|u#l2pB!ugtQar7s zZyUN}`qY*yhSUiz>M$N*1S}C_Qz-FR%e5!9g2AC&+b`!;!pkb*Id&uUlSvhKLhKpb zK=ur~For}sWnI*8EnW|;Jrp||bpk?a#h10bOTu;6;OHvJWtEHGj4t*=l|X`nhbr-K z6MJXmo?+HqGC8Z04D98fbEs5t`YQiBxSw9uSYt&bTN0=Xqxq!{qspPvdBe6D1cm#gWVYaYqgBrrp0Z`kV#xvlVd=uLU5=OA-v^|$3ow3@6aVEK#URi$@yTEa9LnVpSn z)6FI=-qs3+fG$Z}F=eN%Y11{*xeO$ckH$LB^7nYzv{Wsag+sve4KOKleT?izLq-ML z8m`WIUsO=pM-#i9+0b}knQf`0_DXu@=VGy-?ovh(&X+f8PL(}WX=9DA?J z>Ppr8y%zTRd+Fi$_#1!rk5>{ff~Dd;)zWER;_^0mS<+O6uB;%cQcEX8*3N!CHTR*5*xxUc7vV7gIpzA;xr6KBh2$ zim~;8;R4Pi6x2Vfq+2eG{${uPs?RG3;Xm!o7(Xt=yMV-tj{fmNYOx73H%U-yK9eC z9Q%Bvn2|@azey#Rl_F?xx{}w2jrW!GH8#wxDAK7Tao{IGsKfpHDz4S93i?i99f#Zu zk+WXtFiEsj@%wP`zRDM1iWwyTCkAO8cOA$!8+c}64nhp0Bp~RkgfmtNtTA}4i|%)$ zAPjUmfWFQ+_Ie=iVXW!>exVoB0JwIXbd`cWTKp(uHw+7YQcUz!eBVvF%mG~$*B-0r zW%+OtzVAYyeLtqRelV%wj5WGk1?x;Fx9<}M_MK8CmZOvA+(wM%bwIsE+io={rxycUEl8SWpa`}(tNBE>tq?}YM(OlKhk66 zMjj*LyQtnS(0pDg1lw_oOvDGXH~9ewrt^T?#(#pfq->j2*@u_+kvfuC^>e3h>h7?2 zykV7&AX$Hlfml32(x#Lo9J+1CyzJVB)aO;fkaehP35ymPbLI?-tiUX3DcrIqSZBUNcLgX>P!iT0qjgxERI3!2Mvhs6{|VYY)7 zqD_xJ!x9uM`(@wdA#s&}f;a)suGK+~U$~z{vPhG-#35> z-0cQ2(_ohgp9)Ofp}LhY&FWA>dwBew>I8cab^@mFG2K1drr9bvx9AO7fu*g_o$8>V zr~DJYL^;1hPI%b7kqD}nT`L!@ITNZRR|zZ`2kFIMK&PMQt?DsOWH_EV95n(E@vp)8DCw3^*bdHASDiTmII8WQFkRcJ*}Yo z4cs*CvOf@YHmjV8PQ2l^>CP;Va`TT4d>jH)uQt?^!n=}nY~YwFX}Tn2_7fsOwpDqu z&7je3%R655;qb_9BG3kyn7w1RIQuEiXm;fRP}AbWJ6eN1dHR%XGfG2Im?-o16C6?B zrgBTjPUZWK;Qj@V%?RyJ`NA2GX2&fr0n8Ne^y%59_b?r-9-vOsbT)F`p0}WlNjZ?>+@792oD%P*I%xpJ)OEcm1wxY z*6Cwpxe+e+8>pjBxZKgcPgLlc{b_>rp@L+fT|;|vqn24JUUulq>|t4zD+$OJ2P_Rm z(`T}$sMVxnp8~tv!{`11cg>eN7v`a!f6%}}EqS}0O-29|ym)k4a*D!j$(-BFwo^R} z_;k4dt?6o@YLaqVb(^U|ZhpGU9v+}z<>fVex?9S$43NBnGayeBs;?i&ydU;1i^m^T z+(W5&Y%qm1{e1-wNM?c4T}nnjrbAZqlBCZA#1_F|oh{_c>I}@Z>TqfTdC|l1I$6-A zKwnDoyh5jcXX=J#wUacoyDVia@RoU+-U>7tH%cU+?g%ZZEV}gKM;+vL2J*J7cf6dV z)T}Uh=sWC8fa)=n%O9wEswXLT4ZEP9wtXZ!*4Kh=$a2Zv=Ng1zhs)w~yM=nkAK5{b zocnUFylKl%zMZ#keePiXFJB#lznO{1g3#nPh{VV<5S&q9bcKf&XgEp4DDA3{OYiQE zx8ah<5BH4Mwj!RP$w?mO)Ui*{%sTOtbzB}2UagbN>#QbqBFn#8C$^ugBe&sRt>a8z z%YCMOGmhmxQOBLWw!N`V!o$9+RlGj2khhvQ;ao4@r@)E*X)heKaJ6`!rX~)i#UuXz zYWY6RObj9|Tc#FfcDx=*%>rrF6^{Cp+sBnyo0G)3$BF@HD>*~2nV;(7g+vYO`Z_Ur zF88(R$K*gb;nEHj&j*qzx?{W@~t%l=23WCW0`I)9GeRmbF?N@X$@MAS!Y-+QfMrL z{?#SdeYXa-_{ZcSCn}YjO-;jl(%iDF=^#cm4NKuex-IXhT1o45nje(8#GOn?3>=@OU4$Xr&<)vX3d~$MaQVyvo^gi)uwo`_KID(ui3~R`hUGEvOTFiwRZh4 z)l^Yd_n@6t)cT8dpk!rLd7d5lom$zR51&2jSe2%ICS_G;hfF$#@2!*%-OqwA-|Eb0*A3G~ZC)#0fjQ)R_WKr- zcN#laUz;{klNajnXuZ_rEO;0NO(JLNq3P7Kzf>E!YVLYY%qkhL_JQMeIbO*Z;ErJ0 z)@7n>`cFYWShpq*=cx!xTlFMw%Dar0gfdKriRo4<*-6m6cq`X+9&(H-=69D<`(o?j zOSMAC~wNkS)P4du3_)*NOagYYb>=e+n; zuuKhl;07#%F6IDvsxbvPDR>nW)}pF~N>Q22oKVeUf`YS{pjlBJRTV8fh8)qjEpr`D z5PtN-5$$b1q5ZUJM%zqj-|dE zdIHWnL+z~ab(k(MMldx~oMCrH$FbaXNS;_Td$TaJz3}`Dm@@}9D|#KCuj$cQJtydH z+vnNvqWE>VfrQu`7=N(k@$2)Qo)*0hkC{Ppo^;R$K@P{}5bd*3nHRnaljlkF1G{C* zYjwsp-r0f#<4ExU>`zFCzycCurUfiF`1N=L3fU zQJx%Sj2p?*vw;tU!-m%A`U_*#?88EI?UTGV8+Br4fmyTRq_VyvR$uccxUNdsZ-s!T z=litLIk)AhqDP-@?ZY->Mn$>Zle^gGbaf{@GdikEd;cT!fgxa|N~KnIIM7j0oZ6}X zan|24B0}%R7>+l042tx+!cR$a^`nzkU2swM~ncmN>?0pGGU1p~FEt2gt#MS>J|Ew7r?eBn4VfZ-K@zQb8GhbV*GL6q+6a5l%C zL5r?I^Ph*tu6Mw^8L;>ou<#O?lo56te+fJ4Xwk{3lkp$@Os7+b@p1~dhR5{tL0)53lp7i zR8lh~p@X$-WilH-%3?uk@5-#!M?F#lx)&oaFWSyo=N6QD&w_QH|sF0M)ywM^UJH!y?j16{$fnar4rCEMn&5_u&5znC< zTRN0kbsGBQ$5!Z!gA@;g#8SqV(GJj=*K|5&b}7cJqEck>7NDMPp*56a16U;wDU8f* zuDI*t@V@#en2xFx;Jt?Q&1IHs4sn{zd*M4^xUuuj$P8&_9NU7TJQtMa^?(>D-q(xA zdf8pJ1sA}+UAC*TXB$@VfK^X|u&a>rLS89p6da^^D?Ig>@S3ZKMwwF7U?Sy;dB3PC z-Klns3cP7#q(agYI)AS#Y;4md)A0>M<6<>NGkpzij!FR;L@2nDE^;VrTTy(@XOY#H zV;u=4lq1J8esLlz2<0_sj-eDZ7<8CV6LdpVS8X6mw!KYaY5fq7It{^pK8pZBK+spMeN zj5xWzb^rLATcSesGBth`N*?{it+_vNx52|pL(DpB23KHb65{L7C{nZy7=#R+c3)ff zroM9o)Xwl;ZV~B|XghivavCITcL|P`SPPD7wWrP6=r9EQBT3}}=bj3Cs`Hwk=HO)4 z@q;PIc)SgQ=cY`cElI){;Xi)41TtQ+>kpYx$}E>SKAqkd6X|-VG zQW>uZ2W`CWrl3nOgA#0v*W<#T-z!)vwYC9Z2&NlC>3k&RN~!x@s>a@U1C(ft9uCJ_ z63n}7Ppb?)68A?BU2Ww?+#Tcim?n|Sb5oUTy7PIxc5cM8Ym;?UhN&|;p;x{R|G((e zpxqmj3ozq85X4-{-3GaiyKx=yYMa%S?ijOMEyKYcUNW@|TNgjXc3y zoBIFxkgS7jvP}Rl;_B||?z&xF)vTY}U*DBv!;Tbzl46mP=!lWV)E~o89%PC_eeZmvXdofy>swuY&U^mPdCxiT`#h^W zL(X`9u*t^EL8c%u?YsK09s6%IO7cd>tBM>Rxj>jT}BNwk@J7O*28fhc>T)b39fJR zGb9ZKhIxt9#GbVfc$KP7cL!o;Sn8~WJ8LVpdr&K0#A8-iP-Q)_o-uZ5cpuQOZgny@ zSlCOeSfD8ub=vGwBNXxET2%znTZM^(AnKS*@08LK1CMCP=*`NJrZ){oI4fVJ+X?{) zSMJMw_O2p!40Ioq>sVU~h{gC@&}w;NP(f)j@0z~krgphQk-Pl@>(&5Hu1PP-tfQrp zny(8w3lkMGYt@M7chv6iq9@ECf@!+rhI~m*+FZy{nrw+hE?uPi)ap`w@!?`E%2xWi zz)|m&rZ11~_*QLACJ~RM@ap>T21+iyOGi`|%Q}D~=MqZz^m$BZB0bj9omtil1*bGg zar&r3+LvFhho|&O-UY&EmCoy861-bKnUV@W`*M-}{^D1p`eT0FCvtfn*4KIWr+Mc# zs$1^pYpm@T&oU|Rz46fjWP>h)vKD){vIqH^Rc z4gVbuxz+8jB_VIGKk7a@J{GgDQ{lQ8BG(&}a35{VNgtYo_l8nT+CiPvEY(GO`pJ!Z znSy)%IE*m)O3GZ!aZvEa-r!v+fO50!+Od|}VSr5{N-Yh6^wmK6`Mu7guMVx{i#o_` zQ~9D?uLePrDsiVlyvtU;j1s?UpB3itzrbNNZSJOj0aoib{zaIKdrx_&NgSr3g$& z!~ubU66if5@b=;B^~0a;dFd!um2@O{`1%TOb8N$SCJl|lO=8P+$V{z-`9DJLXeo;^ z#0wmOu4m>vqIra4=7LwwoJyfOY*F52x<4$qTy9#DieuT2N0H$pB1MbB>b9v+^98T@ zE)sz}?60spXM1?q=!l`pUs0SJ$$=VWDsq_X^2F^T?a0nVXteGzah~ojy0pn7;+pp1 z>wIT!(5Ra#uQT%^$088DWmT^E&-lIma;_ksHi0EdLSv*Y?NOPFRyY-uDS+JeLB*o4 zPo;2{Gjh!=x>dvN2rVahWZY|P*x-w+R8@*qC!KY9SVz>rSvm z5^|xAf>s1PA<5BPOz4GfFD6^_f=0}?&>=MvHVf@)ahWj(y>*)K7E{J7 zThZ*-iij0ubu6-JD985fa1v}!KV2ej%|r!>I|*|jzczdOWnIOA*XR8}pj&QNpWw>CU)iy8j~EMPMXZir zkmyO7eb?qQ*X058p3S!uY;3Yow4ZN#b~`8Xuxf~#rQuJ|#wI+CSm~8Jq#HoqMG8T1 zmO^-=k*9_<@IO~E=NQ45Mx^QX3R4K3l0;{JBI_de&PDFyNCAo%;pEK0nbKVfVN+~h zk?zgDzhSOZY(@!)C|kx#NEc_xg#o>=CAnydsWu*Yky|pJa7)h8^KS_8zh&(a(t13l%ow$4l8gC_CEtXXUl(?cZ_0!YHwVxbaKy7^HMuN=&!=oxaRAdFx= z3-Bz{7byh9f=FphIMx!+tpk;cGlirhR4~zA`f;JTE;YO?U4j(P^OHR*41z?#t;~;& zs8*+2Vek}QbN^cIlezHdqSpq#982*oZ6X_rceaNn#=1#ZfAOnkeVwhcmzZU-F>+iR z3r(b?PlmJ`PB>?Ua<^~ZS@&_yQo9^-u@@;PW1c^a;^Rr?9Xpv!Nb|Zm&%Jvt-;R96 zK+bci>3Ln>`wOz=zA2p5=lLhoL5l@M*S{WP&e5KVZjI*bN4b|tmQ_*Rf%C ziVero9*6|06DO9D-kFdx&5qVVg+lW|6L@YA_=elZa=bp;wNqX>n)S$~=S7L(4Uv*Q zQjed*%_!ae3#sr#83%ceXUCYxdl$)|k9B?qD?7l5h!;tWNqIbtA2N4&%-<*DTY=}q zHfG#0+K|2ZQFEcr4PD#v6DN#~cRr=HR-R#Dg@E=$HXga#ZHQsR3m0PK>3iWduZGDh zUXdG)oCn#82WE@3$*E}fSHJmwpORFJjH*>hav>fy`nHX=8B;;I@6XM$mIh7g_)35@ zF;9E+#OMB%7GKA#KG1!n5ZWE~u~pikTbD!hL~%za=#dy}h>lL?I7Xdq1m&MMSfhX- zRO}7rZH3C(jzZLunh59wot7~SoY<%vA^m}fw(dj|8Zr`TLE6Q0loSSvS247FR5k__ zdb#I|sD(OB=D-mnJ^JL*c%&9wU=9E+h0zu1W5Yfl`CRJBg6svx|L|GD+_P{PJT3PW z1J?@Cil_ylEqj>$~|N?O!^p<{-A71HM9@UK&t2QtW{WJhA_(wl4(LKuq$v*35uYc4 zaf@+92rOXiwAp*2`7PO9Qm=$JKX0)!K4^*?qmCzA|S*@kmsxP9N$2GZl!}Kp@Yhfv1tx%Neo4Bo=1+slZsoxxKBK^t7pa7 zF8U~S%#INT$Wob>(Bf@3Njxmt0rh!;Ub1FFp$=XVAU6pjY*>*))H2p_0vt0$U~IaS zcPlc?d=Cv25CJ3zBK++3?b$O8yPoYN4nbT3CLj<7RgX<@@+yCy{ zNF~3=NW|DgZ3VQ(z+BDNa~aBxjF)+-s?~K+^{jogj?GM{PL&w)bJJN7n#E3ho~3ZL zL;!}eUFI?^U*_m;Mgvu@qcInTSA-_E9PD3Nk4~T@Y|;`5V8z0( z==qLM3RwK?tI9leG`U4HqO(RJFIiAZ{_d%2;^kzH&gptlB!?+vaK_K>kUwV64I;-S zPO9TXzGTl)EpfliR22li@1plI1e$CJ;i|TR2tTxu28W!3B1{6L<+ei(lEAiobf-8_ zMVA_MjCDu(7Dom~02CQ7a)+N?;|sZJ9X3Y=6h+4LfG^AYW_a#jwz94LFaqNfCbWo2{INMjrBWWfOhmnIW!db%}e)TaB z7MQ9z7qR1E5L^E~w=tim^I;>;+vuE%x6O#4|mqyvD z&Ts={_1gV%mXw;fMEAa%H0@_`L$~&s)J6dd~(4>l8?}FuD zV6;plA2NFQtGLRfGu8I!Ck)`-M1p$`Zu3|k(h^G+^d@@I-BovKO@E>u$HSl2X*{or zxtLiKtGjjONjA#{+p1c&s)13QYE>0uH_7fcsE-pWw4w?-^c3$B^nz*`Pg*o-0U{a)=~YlB2*4K{eRer$t&Tx6L_<#)u>{R&{(< z)%ot>U3TEQQjUYp1q_i`mJGQ`I0j1L6C=-fetNvJysMcBru4q_F`N#|;?%A7Cv3iV zyx=ISovtO_k-f8y91TDtj(sL5WB+LzQeEsS?XKtzV+yj|5ve7fiP6=g%Oo|t!}#3w zuFd{D52G_9B0pL;mjzRPhVyYb8Cn#U-uDP6ceJWPfmXTjrH@5&r$zE_jQ`_PKcb`E z*@dC$^tL`Yf_TQk9Imh?}{XfAKTI-oc&Uz}_KW{)+4!%W9R)xI0GT4)PNaw04ux z-A^j)fDKY>5te;L|IsX)QFbWO1lzMR-zT*OwPsQhxWb3Gv^L#|+r7PbNoD#TY)90a zMJ{bP+4$R2S=6h9gMl<1dqKyySk7I=fwEp(SQ?dWWu_-ll>GB3>rvRDDv0jQ*`ldj z-%6e*Hpvcrgl>LN52RE9*9+xfC_84N-ZPBWjDZ)`S!!p335u z@wsD@D1oOl6~WS{Eq>Wl^uvf*rC$x|%-pnt|GLy3zIajD^zFDyh$EsLQ5}4M5*np93MRo%M zzQvj8N~6t&z_`{0Q(-=ZITR*DA6c_Z57}i4Em)_SxhwLGa(V7;-=?wx$_fJ^UBLEb zQOh9M@}}-elM5=ovJL401{8q;dOW4kR*joL(lDURTjAlJG`F@=Q$1(o8}X(xu-o#V z+mxZGLh`mt3yYIa&J&m1syXkii;N9J&I)}E-Cz%O7L1 z7#-{Vsc?tFeHX%oScEhs#3|^xFnRQSWdv$)mCf(+RC6U>nsP!dK1bsT zC2uZx7gF$Qlj>f(C9l0gba+Nvpc`u?vu{bdRFpo2y-$#p^X$BmJSkz{GEum9)R$St65oHin%HKexS`P=6&TR}|4D&ey~55NlKu|l z{3)va+hgH8dV@X@`G3L&*zKh)2zqkne#pB?p~f9_+u{m-uY&_8?nXRrU+ zQy=uV3an>H|1KfO*d2K7cy}nCCs|19(G# zS?)c%4-gCiX8HFVqgl6ybY3^MRqp>Y8ynCh4#W7lYy3ZGQiYyCn~>qjRMsKs5!06P zlkT7NFUoX$S!1b?^E+dcWrZAGWA-+m#rBQ(W$Y`=w^&^8Dv1Rd8QnzApz58)6GS2c zmW@#LDa&1VthY||q;V_jOlyz=}Ti`NiYU78rM1ybblGZmxuUVEbb z)60)H0@z>$9nlZ-vA~UznK*UnHO-ihoqc#?DKv+Tm|#J@cLG!)@4RcQ+B2ChFCb~OSTl}Ldji3 zh(=A_t1|a{Xcif4m_Iffg$L*g&HzL}yT1XJT>&Y;Ujy5mH=$+Fdhetm;rH39CWsx% zqyY`&c$cmwRec~9ag))rkiLy70vSp6skvTi5+y-&HywjVQ%7i|LIT)Wirz+2+>?`T zrzn&h36GhyAqzWttJ!y>Oj8d~+s+9-f)vIqxm?-kg)3K+f=i_tSbeLanIILQ92(F` znQW=Vj2*Qlzk}(C>uo5UbTGG`epLXBJvTR?gjx zj)?3--{)>}RSmZtGjwp3Y@h8A^Zt(5J937})9RK7Qy9qQfFL)$d~u9%8>Dj{u|W`t z&H1RDvr_jvmuQ-NO={R>wXDt%-t>v#<$idU#5qT-@vBL0r~pEfY-j)o`y&A^j7Gk*iN8ugI zHJ4>ep7|pk9#yijW6@oN*!E?U6VTw)WW}0CN1+v{0K!mzBpiKB2oy&}bQP~@MXDVl znIUU=i{G&hzp0>r(*przt0rYy>SbUp3i`V)x!xfAZvT4Q)onxm)`eL1uqt@W5kyv~ z0!Zmu)yiI(_SGnx78_Z@)+&obV@0ev&r?6>iMfaGz^se)CUC}>2f5rx(HcBuNZT>D ziQ-mma}`zC+WLqI&p%F5!_^LornfF2<9YZ`M)974=2U2Y{~p=wZ>vvVQ3u1d_LlB$yNAAJUDU|pezKAP0l;@ zmgdhSir-Chesh+JAWiow4Q3_`d>%%P0aA9&XZ!S#1gGMZQCg}OjeoQG{zAv|tyWwM zeuS!;NW7lpBu_V1G%XrAg(l@QKTmVG(L(Pho^tjwTXs^sQFz}zCN>lV3Tx~0@3p0F*C|C@jPQYY@6NvuPMY1qDLJ(52rMk( zV(z-!)~BYB0edI21E;lVWqQ%o%AA)r2m&pcPA6=w6wSwVvM;UvK9p7fZ0Xn`?qAOw z%ClAD&{IccH9gegY|C}FZxKu)1dA*cUP3Q#1tE)^RmWDgDtAaAu~kKqh_Sw{DT=b?oPEri?uN5YLeeu^RU3UrXh~=H zJcRT{H3vG-w`5hHIILok?kiKUCr<^oqxsMmSLt2v8zG5=l8Aq!3eywxm8UX$3E7*f zfQpjKl>sz&K_^jOXM=~*wSGyD8tCOJ|C1giY;=P;FwfznFnxZjU6B$qaw2na!fqaV zcR{IFdMT~&e6&Ef;l_`^D&|ffhna-nA*ae|NMP0%cw|{aHAF=&(_Z{pkDz!uny2@x z^vcYl4#1l0gFjNqRP~*>DDNvGeaKLYoS|kMdrT)*D2gihlo_he{#fU#%PhJUirNAi z-HMh=M2+p|f`GkB#JYi=7f*G%q#?a7#-&h|Ut%4v1VGW5cf!6#3OevNy%>^joprR} zTDdt@MMdHpuon<=j z6rHzMzXR4xF>}i-h(P~>FHxy(u%rhs-K@={If&U|uH z8DC{ftP$+!_5bbmLu$5p#f)K_n)&G|w-!J01Xf z?l6U@Y<=Z3m)i^OCj@^=HWbiIF_^evxXXz+aq7WepEWlM09NJ(Tf7Ac`jBpE88I6- z^f1Jvn3z9nh7mtPe#GW~fawbpx5rC4;Z|dAwWXA5>bMtM$q8`}KPdE;=Sh$wBp#&u z{79HYh~C3qTdmhJChAJe!&Orc2`JVm8irzdNUx`WMpgNb`;W+$LZD%yNg+nfOOq6< zM7-Xg_PTVtmp)BGS5cpT#ps%1WR|kQ(@vxzRA4sQl4Uy$*GBZGLmQ=gi>L9=kl8WY z_y{RI_NNW7L3S54tym#{WdOL_-pe6adSiqmzK9 zvCB9gV9@N8j^__WAjQ}9x^epM!?umwvF4+RXe{_Vo}m^^=vSrc#l7?qcT)5d-6w+~ zt5P|^d4*%T<&u985FMpQ*<&?iDz~#)2a^e^+Pl_GxNr?sEpUWHDJjyfk-UaVaPUM$ zKo>`y_PI?4(KHcoN72yUi04qXtx^)aUNY~p*-?&FT?`cw^g^9U*tsLVw9gb`NEDtL|*A#HxsQc`{rDb+O`nf>1Bzx?Le~#ny_nF{Rx&@3f6qh9m7pgRo$4i#DHiCiLqN~^ zS@(zqNU_d#atd*tAQ5mHay5#yK-EOk)omu+q)2fZAT-|i=`(+e zpS+934aWT;M_H`;ME+WVcbz_S9jnuoi9ts~Ryu@NCZwYHm{Mw%7s+-XFM2q7XQ%FdqrqT-h~%fz%K=RP4? zL_`}mV(F-hLrbx!W9KEFfYS_JxL9ZjG27Q8RL+9-@vA4==E8|Wi%1~C3yFiX#dzRt zqSOG77gn!l^uV8%Wly8rpHtymD3|i6776iyM?5 z8LnK!i{a42@nc>fazN{3Y>bM$ zgGL24{HdBFx#{3+9avd&s4B=%zDurk#C{)L_7j9)QJgup$CgGPfh2J=iDT^>xTKSA zv$e3@`ym7Re)2hr)h!~4Ovtsi?58kHR@}m5Hk5PbjE>5gEUmU{Xo_;9h z$vI&UG&%gEUCvido)WJ>rz2`nz0GgS8GG%c{mfT$S@;RjLsN#G`#L>x@m}@(gR$R5juecAj`F z#7Nngy!iiw0qs88qXJ)A7}B$n`*n2lCq>1N)W!e&*RZd}WKi=6S5YVB^|H%bOSaE% znZpIY(t^ptIGBw06C$@w{YjnPHTGY{#{k(O^ra*HVo_l$qHcY#oV}EFlSqv{Je26- zrUFuv6%lEqWL;OGpwee6;ievbBF&&WZPqSyy>l8l+4BKkQ1~}7H(kCcv!gN(*`{gJ zqc!VH6FRo!UJP4@)oF>Ym)~(;FbrK<1#=gGbvs2L%zCT-z8)`re`69^JKW7PJo_R# zFY2btCT_d)EP6fc+`LxhigH0~FO7%RoV^_%k*CS&Z?E%M8~j;irtAgFC-T?>a&Gg3 zxgiipllOV^$&}9PI3bZd6y0W;%WF+uruW$AwcD|!hc|DSvzyFb9a1!-sL|!=k;kFm ziNQTLg}bcJVSt`g6eqcoCcC9?+t9SS_TgRZnfGMWF|nOR1`g?_dwAPo7W_XwRM{e3IOW zmQ}9&5?vqT8mTQRRC9q5%)AT2+csyvf5ogsz1henD?1u0uIh9xOXY-&hldbyfJFSX zoK&O7yy4kV-fLNpw9N*4M&3f#!YJCDWcxSk-!Yagi0xW!n{4(dfMZXxbS$Z(O4%*Q zWo@QBlKL2Ln8WR|WGX&uoQo>@L{j?3mHD^)q%v+p@mjc|@Pp~%qM2Oj5&&L^;f&R#ON{7_dJ4I|K*v35U z5QyzD1Tx0EbEVyRPfP)?Iv;R^R0aDgr&E(XoRF~D%Wb|;20aJy;nqJe10`K0bsk*% zvWezZ@^l4>X+&V#S7)BSYn-*#Fb^&2s@fH&a^8!Wt7zU}SLT3Mt{<--Y-)IM;bRjZ z7Zoj1m%Ll9#MTZH2NGIorCw{HkpuTf(6~^lAFr8wxei@cvMAp1?lqGf)fE<8ecOp` z6`{3S=|Qsr-{&Oy#Hx7Z3nA7sAjj`~?NYrlDiR>%BzscfU3sIUL{GXg2J z%nxijOT)?>vU)9eEf`^HoQaDkFV#(Mq-@{vUIg(Aw+Ea;7V8dTQ&~?2aDhn-&+=c` z(F-?#ZpxD(&KcU*Z?ZABy-5@oQ5@$5dQ*N+H^Dc|mJ`wJGyyyCF@mEapv7|f_b)IV z4sp}~)aO+WZQ+NE1us1BMeJRTgznrU#~7YH7C(OB1&p(*w&WA~LQ2AFW!cx4-J2v4 zzwq4`Zt_$?rt)3NcU~ku&5#;W`>}&&#fDT@eZRE(3K-)#h!=QB3+qvZcrr1ny__n) z)0cmYV_V4!J4V}F%UmD9?jvC9o~Q^Y&EmA$RL%YJo*Gvri-uYO)U9ih7{R2<9RG#u zzX-WGAz?1LqDd*OYk9y%n8YFQBg+$n`n2l}HJ@kab>K}RaZ8In^TJQ8Elp+%*1>dN zsn*WE@`6d_A)@QNa2~BayRW@qQhQFw?h^@NS(__vMGm!sQ=R;^&i(G}UVzjl1lZvV zmsUs{_N5|i@5bq8s7l8k5{)f4L8UzR{C=aSk}8K-jvh|&G+JnRHVVicDOoIwQ#v-b z*5!4ya2k!9V6--K*kT9VNTia!w9}J*x38Pzr=|ebJ8VOECp|zpiW8)^(-0j}vy+XC zku!|zCPfCx`1?i=HrkqLni(p-g3#+euGcDm#B|lt67)mEh46#;L(sY5X zNDFHe@N!jRF0XrPKk*vXzNeV@(|t7(&cy^T@TM8;H)(zTdXr47jeOKT)jRQ+5;8kQ zSE;>CH$+uvMoPvo@I!2iF629$u=+grSoyrs+GIW9q!a3^-)**!?>6MI~4jwJ7vR!Xc#G18o%Dr4|+`k}OolZ3h*6Ao5J2 zz%%~cPyd9_7$!gpp`ZddG&jA5elUYlps_PCA%}x4-!TR(fl%TI-oc1D;5g4+*L)Vo zHx?QkgSOGw4#^c!S8y2+H}EGI4@4|LDzP`iWw;`1K$mcBk>U{dU;;ux`x{CTmSa&z zMbx!y^&k&U@Z1S$_8v}Q9%5C0q_lVh=E1ol^Bn16gvFRaJrFfbL1SD(Jp@<8e(Gm_ zk~}U>G`T^W8uS*X0#2|sdBREvFrmbA6@KQ#H)@k(7S(~KsmTqL2Qk%GdI|oJYS^1-aAji3w`C)AIlZe$b(7}u@p)${xX>)n4~f< z2chL>>2en^P1M2gAfzkS;~`B5Na z!onNE%c(IDx8L!S;ziLd=p;_LN$BSy7Xpg22J_FVGd@etOI%$j$2MGd#s=H-b+Ay1 zvCq5KWF9(!^7Lr1_aFy>G@3p$*9o~!6gWB|DB%*#ap6g)$C^%kAo!gnq@<23n;5s<_&bVpAoIOWc@2TCJHAWR%O95BII0n~gp?d{%K zk$iLuoq}h$)2YIpu%INWG4%k0E{R53Rh5|R3H8a7GezhLV5ltJhC7)n&^LP9`lHN4 zEJt*;q2i}UaeSkQww9GC_UMX-g35qvDGExYJefg+qJ|e!EpKVr4d3J>a&4AM&PsPN zjN_nBBft)7#&0~Pag^$Nv?IFlm4=eLcRi#8G|j~m3XTDW-S;;liC zv!g!2$oQ4N{@QE3M=TH28g-z&t_9%7BAg6u%o}S(&noq4J~NAaPa|p`^4t*PP~Rm^ z9ua6$3xNfeVlqyV7H|Bm=w44Lx9EL*;H#o*j723lC0#CPB?_}-_;`4?Ufm*i%R}t0##?z!W6K3SfcV(9 z)<^&4M}G*>zlo510p0ZB+gSS-S%$jNpH;TY@Jz#)@uSM{nz0_eKy@PL1n)#A@bzxmOxe)RX*XqCK2Ofp|0 z8b4A5gI1_NveoQs*V2HP5}1MC6d5OCdv*`+LrhLvlQymIGOjG-HX=$E|7P`CKJSRy z+&=sv9{TU%cbe*_)x&!dB29JBJgblLK(uQV{_B$aKSU+4_{|nE7p1kzk7;RSWrfYA zm6aJ=6yxXNPu1Tl+f4pEyt}c=s#34yQwQ%*H-8`9^mkA?){lC%Ny`tuxNV@J)1u#+ z|GAt0$+9ay(i&rYiShLnq`-9k5NQnJHk-OJHuQ(xrD{*B_AeTd3Y&r>vs7x85X1<_gowkssap z2ZKGlTdZy^9Sk3Dsy~qQtC00;%JUb$b;ZN`kXG>#9S!jqAsarb;e*0EOd9y0m@i8| zy}-gSF6~= zR27lYcGW>1SN-$D+ub66cpne%t-FVJ@b_DH{E>e#?`^xgjw0?dey%77FAVO2D1FIK z&T?D!JN=Pu#;+pjJqCFAx`eJcCw)nV8E2(!b=qwu7h6M2@3!24ZS!nT@p}%$E^n9! z3BmhUTfW1dRy+i@UDr?&g6MbhC}E$aSRIkvSMdL@N}$u8spWfCxj{H0!o_j5LgvFXqvxunaIB^J|3E6AzvG8PYKR)d^7HfIJIIj~LOvve$g+M) zJN=<6<=0iE+*{iZzCm}P@+7{=M0=-~H-6n`@`SY}&(zm^lUedd_JI78$)AV+7MeXe zuF!Q^AN|+TQU0rs{vl(fpj~yxX?e<(tpS^mKzz^ravE z;Vs@}`S6|5^2smqCd)bPmJjby{8#j@_am>J>4(6{)vL2pUP z^osvDT=_3eZ(C?t#p;HmHQn#C!h8muEInnb8;gSa*Qjyzl>=^rh$I!nKbbICI({J% zNscNf(QZmhNc5qs|Cg)3^f&EaG>qQopV>#}#hOTXKB6DuY?+#z?+4Noi zXLp+#4S}zkGUW&6;s#aKsZYGQ?O*XnsyVHINQXl#FB--E+Rgziv6=U5W zt4{u4W-G1xW0tFz)J|BYC^=fbK|(h27HT67yipL^$)_26^&x?Snw4e zu$oeWT1k1C`p>_d${cr08{=5jdj#ait$cR;keAu``0$?ml<5F6G6%|Fc^E?~Ig^X^WXM?RcCy9=_4yG$VIpO&g(9baq;IVYa0X-#I8 zlsD$7DQqB_+*kLJpyRF5WlKEva)@^#kD9vsS)@%`n5B6*ZJ-vPik$VuOR4IBdA!VD z>L|;!!)|efsWi8WY#~64D5(w$*)5OfjjY19dEG7Zu9+ryPYOCyY>ml2Q}wAIi1;pM zH?wGvwK5K9x48_&rk~C(Gew@3aU~b`q$``o-J})oy10kpy0S5=*O6dZ)ux!=(#LBf zW{%TJq1&hN;?u9ameN0s-aUio&gigXsUPd?3!U;GZ2z!nMHb!oz%%_(q@+nMtng%G&>W7 z3aklfn7$;+46UGgIR4wN$O)B*h0wgM7U((#Du?G|2f6FNCT*9|kzBw=h>ut`bi{+M zLHyf8iuIW^Bzc<|iM3Q;V^L`Eg}mMdwWRW9x|+O3y2th9*PolIUG8JZ{{m4eQr z7g=SZTV}PGP2||-A2D=x+@mW0EnSiYZTN`KK!%>77)r)Q3{Ver&C6B-c1S}H_AHrPo!y^-}{~0Tx_$#a7?rC}u9p_kxJQUHWAYH^!5&qI#;k!qB&4!=nZA zET9}I2`Rid91w?z@*M?n8@hD8a$<8rQjJL1XA5$>1hpk-7{$Kf*R&YF9#*oV#5%U` zle^bR%z-Z?p#^)#j0l^+Ael$nw(A=I$xmxY&6yK&;6tgThvGG7{tFL&=ehEM?=%{W zOH@T-JgxI(PH^LAz00+BzE+O)awDYtq_ ze%-#3PtjACaq-wK(D4jUOC`+Mti0Yl$ANY>R&LnI=t@8HXcoYhI>o-&@SiLH=*#R% zCkiH67Ek7AaF-r&2I$G0Tz8kIt^Ej|VFb^W+w`^6Ss;u_9y{Tz+m(*cV~X~6KJV7OsPhqBtut;B(bRPNeY7L zqHQLQ=I-bSPCTVYyv<{ZjqK}XP(VPJ9bj-YmtKI6vo7n+ks6Zc3O)S1Z;5z+(g6lf z_GB0nO13lYTvMnK!?8uUd$q;=oAV)|+S?hj?)O7t1Zp^gR3cadPnn@Lh~ogt#-NLL|Wu!j)R+iVid_?pW^{ZLpOmxg)d2I>$%7sY0BpB{k6x`t$F&1e4LS_hw zCRueo!V%H8G#sPFlW1}SL=+}56Yn!hGa2-JkJ#c8F_wtQSVqB}x0D;9`ONO?)b}he zj{H7aqMFbiLLSDL za&am|T#Xt+s(bO~KgPgyok=`r5-*goey9kZnhi0LBCn%)*(l_}eM}E?$ENQn^Af6R z;lRQ8(XrH!b^Sh;vPbM^h-m1R0RaN}DY4XOg(w{>R^yykqv96T3#V|M@l6x8?|pVqcv{if}F5$vtL9LpUE zXX=U=ER8mD^fh0DLmwD_;vlia=5D#`C$C@(=2;{yXw*qSrf^&Jw4?c*C75r~0g5<6 z71Y;7o%KsfIEEoa!Qg^bqjblKEQX6!IQm;#3OYA6*9F;#wb>^FB`T1RK5B~xQxOX& zJ607k8bh*MTL;Vog0Z%xSKFrJbQZ`s=tH`+GsE0-Stp)!du37~0cDoFUd5gjPr{)k zLb=4IFIwI86Sk`YIVzA#)SR=rn}kwyI!F%#gHE>OIie#-rY1+*O2$yjpL*@JhDgvo z0(TD@cm`q6V<#tmvDeEq zZ<>r~B0T3RGsCrVOvbd_##}XfR@{uFm?&~gUVvFG(1vVk^*wS%y{Yj zsHl0)>a2YDx~S%jx=bDf`afxbfw=fU311VT^2Zm5e^nv38rVC8v#NQtnm$2f%1f2h zh^%!=7FbgOgcfO?&P49hm-v=%3X-{>UQuX_dgMX;uFkr9E{qr7e=M=dmArm};42Xx z5&my~>b2J@GTre2CC7BJ=b?>&en8`U)5N|IZJHhgFnL3?V)+%@9tE|3{pV?9c`F!G z`+ZiEH(Y3QRx)8;4_J^0{~2zq-^Kb}{5iw( z)I0ti-s!krFuwa=UsI%JR!d+lE?xR5WhR>z-%jQ#U$6UFh9UH0A4Gp;D5J>or5LZ1 zhnUbM7Fk}gMTi`uD1;<7$EuT9m;xhWs9`@;WD0E2B0I1p(=k>PC_|!`9@36$fkT#Q zhZ`^(v#M{1(@;jQWKD1d=PqfyRy%A~ycUXHh;u3)9eH3N(!DxmX!f&RcB8 zn%$+#jCNaRJ$OGPAJA^CwXXAfc3qkB3FcPH1J? z|L+&n5>gC55x?AG!7^{56g0CKScM>+kgSVz!3&9!*ZKRa;f4MzVR$U8Yp5P626+3J zbXj-2A@3)_8{?T6x9b=!#qQCfc*>OpQ5TtjYGece$DGxu~ws@pU9Wi$JsE4 ze5Vlp4_UfmKg%)Mv3!OmgJyifv_y~n#9Ji@r1tJ0!0!mF}@V!_zzp0?`%$$hx1jKs0#*`s`sK#=6 zpJHuz9kF>`_H=Td3>h^T(F68b^;9bEP;39v+hLyh$1)Xn!X<6H6;R=j1s6=q3U{kjj`w9br3^IQafTgwqvHm3KQA^v>jnLgwT)*x}R7<;28f7mVOQT zdcf?D#lLN=Oi`56@zvU38zOq0c|7e>Lt(-OzGJ>+20qEf-2{97@N>L13~dq*e2)AQ z5qUTw`*Sx2J(FHqfkZ&~kRD6^=QL9XmU2A#0Z)1%16_jN1(uft2=2-G9 z@)+Ah|BhV5IFPR)CkN(Rys%^7SfrCi91j5=LI!L|ywPMWDg!}7R83^}fn)KQl8gtT z&i7x#_H;0Zm|g$%mwSSIsQ59V?KkOBIlGqmt}3vDhemorpWanHYHmeaXGQtw4U~^f zb*NfP*dFJ>6!Uz#Oq;H$)LE~NWRH=;E2)VuA#vmc(KnK<@3VkAakangDI*6V1e1UG zMnTWibzU^r1%wpPvwKQzMghcQSrdAQ4lTu5&ZotlB%_|7z?qzd%_8c6Fx=o|l#EoKfT4;<`VoGc?8jSZZUQJFezKU(W>`>Gm?{$!1 z={TbrN8neUs!Tv%#o5w_YRS$_MLkQkEeS!RjwIqE{0B{j3Cl*HvUqL_kQhET_*S}H z%7ooudN}Yx`xXV-(+7h!D!w*ibh4o@(S{ZrPH-Uz+N#w9P3W2u`&+1+H2fgQINcJ( zCZ#FULv~@A03n=E>C{TMZD<~MnHUj^UG!jAfr1bPh!)?NuFfR{Rv>t)g@SV;t|9k9 z3Lt<0t?MFFRw&`rfB`W>OF7?g**ecO4FQPnWFEEzouSvzJaPoRoPht>v(ajbxLSMe z$Cm1b=#l1d?K3e%xL##Nx5?(kKdb(^@de^>r=hs2Hd0>Y*d<0?*Xqri*;WuLf%^_D z-D3LCR?FQ*4J?FP>dR_kgRBEU2|sP zkr*Ad=8^ zbY!=W91W+G`lw##xUP=sD#5w2R$H#oPsS4E2z8Wgg}%+vNAzxDdr&6aS>*UUaw16* zQ?@9^i?ztd8XtJGsLA!*V$nT`W1&7ak7(f&__L^vGaxL@uUvT4Lu{FfDu=#V@VI4G z0tV*g(P7oRxSB{$r1F;Z89kx9p^EMg(f#2F_qfezriGT$>g2MhIxHD-ox)mkBc4S| z{9uS5T#4_fYlAYq!+5Gx?-XhnCtv}BxrFeF1f@I9Yk+1tfgd?qKxmBMMrYOUU1@g2 z_F~>K2jM(+e68`KY27hl-|<2nH5#HOSE}As3jeh37(aA_SjUftfoWffZ%gXUF<-a3 z+`LQ-p=j&q$q?PSQgMo;eqD9N4yk+k8rk1Oh!z=Nx^*x~y^X$aY62{3jx*|cM_`|iC;|y6qD~8ToKzunpd%6UNs<_2c zy&UeM{UnMLEn%2K+~oQMj|rgfg|RLI_D|FRB>pgic=ly{8Nr^FV*}dh0thXo2Td$= z=h2;O6a7U6(z+mq03F>o{?AYSgpfD}NQx11V}Rj^pJUe*pyqb;87T8qVP`nx)q|d> zuE_)6m_bI^B8N6e14c#iT$p(L8%q%$^@4=Wb0(qzFjZ6_eMP2?ddb#ZkEq?)ZF?iIQ!w^Xh2x`ULwg2B zVP>h2#$((N*;ddwl$>iI61^a?e86&dP0}LeK_bCzD90bk0pbfWV!-lh`SGWqAlD+O zqMfHO&rC4E_xCSzW5054rcer(mE*i><%CnPD(`9pwVYj~F$=nfhQG`Y+}bGM9wmFI z_~4N&Mz2)XXb|LGR+(D(uZsD^97YoivgB8-J(Y)Bcd6dp&s5YbF1yL zhA-RvNLQ^>Z5^{!soou{m3VGfEBc0QyIO_Zc65iK4{BBO43{tQXM;&t?nO`O2&^R! zrNL}`@WnE}H&^KD9sS7EQD8nYsZu{nI{JBCfA1TcOdgwu z-zT7z`avYJrXlcqKd+zKyraBy!}_3`(MG=Ma;RrkVp^+b3Qzf55-5p&i;hZ}|6!@A3d;in}sCu6ZLw@6@W)T>}!b+-M&DX?dRdMkilM z^6H{0U#&6)oX7~e4MiyP!*^#**mt@P54FYFB9$kp7W{p9_u(B?P&~i?@NTUh*Y)kg z+w#Prmr_hE8J5m1Zq2>aZWN2h_TjsYewpv|&)bK0)jJtVI*pErJbZJrxz#a??4%Ov z>T}up@!|bCe|YD%{{hc;LmKORzi<2JhxeNPdB{GcK732pu^!>7`c(aLAKTX^{}d13 z>MKv;Jp7)Dbb2aI+Nn4X@699SPbT!<*h)00l0J~i6T1@s?y_c=-{tvE?lo$8cgX5n z6$;79gK>EHr`z=K@VnU^)c$?isK++Tn_NBas$#DLlo>W=>XF?iqZIjS9P=GLfa~x5 ze48FRnMl-E@s(^p_(q-ezkl!zazL5Os`% z1*po6k7*9mwKRiKn)S?`hr|bj817FT`;%)y3RTCCvscFSw#W^&_8y0<^b#|Z_$a(# zo*~8xOHxjzkphFLPzL72EY*MI+-N4+3Cwl2s7IH!o(c60vujdpPe|9E->9Qy8mJIf z*`JE*Z-@-NlW@+C%Hx^g`BSaI|`adRBRK=CN)Y~mL^Gbq zahVQZvxaPIB$0xSHNIU|c~i|_?y)EiU$&=JUA;U_-x=#7ec5p8jU&hMX#_#(E7LnhrT=Zt_v-IM8b2*qz4+BiD+<*z#%F9L14Q^}&NMA`<94coc?K zVp~2EjvUwcgHIFvs>x{DBX}>^KCeh{*5n1PQuQ~&7Tst4H+{1%UyPIlWVMOyGilei zjfLX!pP^0_1wOJ_ZfS4gTP}W!j73_kXyPx_HjLsT0&;H%+afy*UpgYkHOPX;%Qxt| zcbQ6nNjSzjB@VNxV9UpJ*R*@1H0v{eMCw3vxaG3wnk(^zdMCR>GihhC4Kp>FEM5Rq7qr)kneMZoHIFrO`p zZgFEBt-?BBVn{8_NDa0xrFtj?#tS*x(Z9SQml8@L&&D$4bxdFLZ_=LlK#1OF(rI{? zmffIVI2J}Y2e?PuJdbRunDFY{%xHxv9y8Mj0lOH&1(xU2`XeH*Y9(wSf)92jG>VHd zJ4_^CXsn$rFZu2;hMsYzF7rjjOFpa9)S=;YmbU2jUlST#4}HhkHmz%B2wTjInLO-^Fgj=O{HM0 zEINapMRq-9E84AAY$z@W*nKq~glbnUUI1C0|b?gD;{>`(#(#J|0M2xhSE{)ujj8N{rX|B+fyOUYu3$hBQ z<<*8jQ*VV=$y|1V6u{}=^Vq*&&uZTBfFs)rDirbJM@mk5t?A^*JqbB?a@Ag@M4C{{ z*;m^g$|=2~%l4>=V+cb(DaFu6F>Q(uDM4Jsu;g@6uS0bxbo5EyqFx9skEJR$`MSN9 zp=qbqknqtcC(v@J!sxM4S6J5nYBhNp$uC_RTR)G)=tYm2HIK~Ci#qL&;uSgy=(`RP zbCr{So!w%BK~AgvlXHRch#VyirKLJgTER%UJN66ghBgGGJH@hpIAmfKBO8OKW(sjm zbH_x)?~>r|&wbjqI3$)x+ha;tKoS|7TRLR%j%PAQ2+71aT%5jr|K+E(fyEtmZZs;= z@ZHruyR@&+=I+J_uR5TsDszR=YY8g_>T<9jWj2i|DE1go{oI2sJE89<)?nBNdM1@{XKBq5HdHMl^{W7<15Jg#fHP)+VCjh$NX3F}jH8Ib$8U z=YOZ!C<*d^KLDt-D>9oB!(PzGMCH z_kZQjzy0OE{DZ%1+0Sk3U;W0fSn``eYyBE|`Rq&rOGtPQ-ouD_>(s zXBIL;n0sN0-=+DsYMV}C{Kb3!#mB$+#lQUZU;5!!zRgJPbN^~2W@u4Oq99X${%2oh z6mJ%#%8%(TlPp<(@n_%t_!s`3&W=9|MxrptlrrAtc!D1CgRlPaU;M`Je*Erx3?4l9 z9?Qs{#`qL38A13TeEpXgC7e~^E-lNd6#5O7?caa*FMs>pAAU)S8ENTRz9pxO07pUO zDmB?~P*+>*Wl%@eE|thX`0D!~|H<2o8S7#^5ffi?sI6&kef(#?@q>T#rH_9{(oB%% z|Nh8CRyz{M(|H-=_|D$jBZE8PHULpBC-{sbyf9sc24kW6BsGpGj?t?Gx zPak~o7CHaBzxadS{ADC8QQha!Cq-RhPT!$TzWdt}!+-96Vqu3iMLVIo`o8#||MH)I z>zg7Z_~c}plvg=YS0DfJAOG-|r6cgd|C4HIOq~t{TROO@^ndt`fAaA!t3o87+)H-V zqAOFZ86Us%D}V6|zx{)6NhfigPcHtJ#1I%lKm5`=62*J&NR%D>-3eM1LNpEQ1w-@W zul{Wbl-L*Z*V^Xn0Z;^-EtxT}jaBd3+}C_S4#=9||IOvrlhc zO+whF(=Dv{u}#1C&TIm6@;O7FvF(HoK%cMiq>02sZ_&YkJO4NqH#AuXm0|b3gSN87 z!ms=k5L7(iumy=dqdDg7y<)r~rO#n&HtoZEP;_&>tMqkv?v$y%w&_`#1&Kfb* zhmsDiR#(*dj%O14eAP;Bh3MlgQ{2NTGBNa_uFmbMTNA_%73K*t$Xn#>Vc;k*6bhhX z=FZB^5*rLjKI(HRbr$mg=s;M#Le90Il55^1sr=P)R-$}BUXhK`Nq$FR@Y9uk=jT8;;U! zoAj|nD1k@bsS;xzwkP3+U2Zj<@bt$qo*}BW04+l1vASL6yF5GQ%X@2?k);4tK&rpG zq%*F$%i2R%^U8al(Z7uZi)g3}>zEK9lr3a+Ck-t~c*)!9w9H80DOWP8l*6xv939LH zN#c2)=w$Qv*w3u0VqHN$+vjz5Ps&c>=9)BoBf7fmz}d8>oMPyq$cBK zMz_kD~P)u$#gMe9{=p2Zu&FNs*WCXFebw=y;)Hl$Z;b}Z^X z-_eT`8@%&`Cz9BP82v1Ct$@Di$B!);Mv(4XhIq_q1N~LHK*LyPv36TRK{J80NKY;I zTBy_84j(yzbkOmM?OYY-$xZTjTVeLm#Mp*-uIx1bN=Z7aE^P*-# z9DabB)3G~ zu}Vl)5@Lg(uVNd(>AEX-JYcr`IIx|-iHQ8kTa`u8vrp zu!h-QgwAFg0r_L^k)vZ;w5CqJFNhv61@tXRT;?2e(Jgmawqqx8@Xt_ZJo|3HKhZ-5 zb5A2yRctC&1-;aB>P9V@Z1YkeH#LB+*$Bcx1HB?hJkPg7L$1eKR-HJsTu9VMU3zh| zJnZ7*B!nUoOFpDKm^od%T2s?j>^FN^4C!;1iodBBIawrwPq<}oH+c-plm3o})^ z=b^4b_ucb)wZUSJ)(S)0A-}f5zcuNefnKKiR&ziFZ!w;>>1LDh+DMp_Vq6!KYYJMn`kuoFW- z<~ku@mIGv~r#K#4v91=VuTrQwJ;DwRVA4Jl3RTH;QI*#1WVZyG{1qLU*Rw6`% z2IHu{29-F+C?mQfL6&*IXKhogvOAlJ5WsX+ZpEyxN zy{A`%P5#qhY==XhU1@e9i$7vAzQ@)f@MBLHh(l|UZyH zl8~rEH0!C>$mFTHRxTOZoET`UNjEJ-B*qZ5x$M9zhN7sBlWsATj;?Tvju&Sf-Ag*{xG9nw(7LylAw6xbQ zb>ojJ3qr7URDwO%GZX{XfoKXVeF7%e(K38=K3$hrEj&zN`4nR(zVRZot#&$;=O?^F z5UYQhrfHm|buHD&5WW{1fAiC?hP8AZQb|y|6%*|>Sf%C?S4lY`>`oY1P%8;!fB?L# zMixq?Mo^={+;%lUA06$z$>_t2dg{o63r&WzDHNUAdo{`K#80xV4#GQc-W91p)5<9V zfoW2#TC#wlrYf5EOyzB}yyP-vl3b)I1ls47h5E`@nP79ogJ1G=?I$HW_&1T^@UN2L zWmexke66T3I-8bFW&9$$7sjwGF+^#WHB+psuwttF4-zk8Tf5}7{ImV>M%?bjId%wQ z&|x%(0@>spGLiFiP*CwxtZ7@iqF|_DVsovc+O_G9He)&VQ}pcTFP?B97l`tv$t%qL zzJoTg!vMmT2O~uSMN~hq7uzvn*Fv92cjB0gMUEuct`Ue$7`JB>bCC@i-5{JV6vH~P z$5KnEA#` z=&|B#6)@oXy+WH7IhL4>D&MpUpylas(Cx5*ZF%#0S+qn#$(mg4cQmBh9xqc3+&&m8 zoXlxV@2)RnAUA|01rMwyJEqrb(GeMrZHVjRSQl3+!=*U{_WZ`zKil7GiThIzHz^&SBf_vUZx1H{^{0%yhlxy=}M4m4NU}z-@|7(-Pe$r`Gm33?jFAvU?WAkru&w}cYBO&6SaCZhez9_09aEP-dOF@@}>QJgECZelm8qG6Y{;Jy7D!n6Uc0?j!o zI|BJn_I&dhbgUaAybyf7cKTlOYEoT)+DMLg^6~(7pXS#Ek98AG#|mOz$xm>leqJG( zKP`rPK3D^W&VZruw>aV4ZvjQX%S+tv7@Z1iAe~}_Dw8BqKArZG~Q>>oNO}3|L z*;Gg}3W+VAmzCUyZV3w`Bu&>cs}5N2$@((*c!i@J8rCfcHA{rJN|~b*kXP+G_seBX zTCwvy4My7DAStk|z~Y54ZOn-^(P393s5!LS;#mN;TS7g>ZDy4>qjRA>3gI=697C9j z$FDyvK{hsr}+dWmcqYd6954_(XIT@|^o2zv?w6L`IU0!eU zqCYHdCPJf8D8amPb5&Uz0ZlUZ-F;qJ#fit(+)oM&>}b6)Mhtj0MBCJK0i{|SI`MXh z^qoc46gf{?cB#23xVfz#tL;H{Jj#|kxO^=qM&zfHjyyuaOsl(J*_4rz9U^wbtElEs zSpDW0$Lv#wt97;Vgn&8vraCdI{4iayWjnYL;r<};^{12 z$%NX4PX%B`R&XdODIglcBez3VP+RpfHEF+N1z{LO+?&s0CzlnWTjNkynlfuFf$zCC zH||pr?gX4ZOQmb{?&Fso%nRgHy^rszadM>qeJ_o!)Pm#5#(ydViD}zP>M|?UtvpA= zAhf*VFnLC}%xUVuH1Z~6=fG6y@_b+>Yy>(IJAa7Mhzgel3LKAT?9=ENGK;j}maC>_ zb(e_*PXqKG$VuCdy)$tz=Ke^-b(qhVnK&Vxi1bnHP0?pf=tW}iTUPtL)Ijw`b(ikU zslHqF2p@8{YCa3Yc6(!CzN=5-8g6nG+GW<=2XANXt}?&(#fqN!d$WFcdu1te9rJ^? zyW-)SJ4-1Dl3cc;K%c~G6ezPdmt39){=dw&K{Nm3QzBy0 zZIORi{0D@alv;T~1kbBa&IN|*`0^c=Xj-hRYiS7qN6XEh0Zmv+9=k?2X3!}q6CW)?3W`Rbs$r^x6?dwBUr z*CGfIB;&mzX;;ZN!6UX4Y&4r{Q~%kYrfggD>p$&Qy-O8oosTz#5hEy;v6h!cfn~RN zAEwUtnAU0?ovX(-yY3n6zjv|Ep4nYa4X&>F?&V|oss1EzP%Kk~_{5@PHhU}mvp>Zl zfJIGHYx-v&F}PVv2+o&3-d5+Aj|(yX=Z}AP!B%`YbBLO_&BU@VLFfc-AQMdgxV`Ci zjBxz9sj-?#Ryak*p$3YziR)$LJ5&>K?M<5t#sRaKD(7~KWG(JkHOVs+9j^J_JV=xt zZX#7pGFa`c@P1ZIe~*nPW!UnF7g)Or?S;-&zSwg%M{T1iFj_?I!R*RN(iL+Ux_dP=<%aFpoO5rQ7 zw;_eMxml(^rtp_3664>}At|_eZYuHcIaMcIoR!&H4uzg+!@0NAj$N3$%}Lw3iK?sP zMu$*VXqX!wuarWZU?k=tE1~vxS_BRme0&nNC=$Bd5Z4!WM{$PO^Z7VK4QZ&76=Nf# z;m(Ww1UEwO!A^c=`9YK<1}^tID#eQ&j!h-mrmJ-vxGsbCLS%6h&ic!#?i%whFV}_H z9jJ(+Zdhw8(v;k*2b@Xa;z5PWFY)qRKf#)?A6)xqbTSG9qTa`~NaK~{KYQ;l>ws<~9+$g#a zI2dri?5;Y^;V4^y%Q!y!!FS2$!Yd=KfBMKdyAY59IhSEU&}%lMGZfSQ3;+y zovj4xP5mXiI1LQ?AT%eTo=OumoIWNP`zu-J59&7VC>k7Fv%6DMNb3Vnl{-S;mKj4T z&4cnDC9yRPq>q_UKH__A2NfSS8WPJCXS0oiM(*8)tAbr;CB}jW8(x>^Vq;Y9o^lFv z-*m!H6hZG*MPEA>@x0$nep!q z>cZ%1p*=B9RipmQ7>q5qWaSUd*ykg(2sW;f2P*f7DM}zcebRGrE zV;n0Kf?FkYcI*?lSUqK2&PBeZmoph~729z{Y6c>)1jvHR_tDIn0|C#7ShZz@0J0KK zu(-}fNEY9yv*(mAM~8iz?HM|XnrHJ&kr;%j=6O<@08lTA#D+h_TPOd``l62**chmsma8IR)Db;!gADW5P%Pn+RNokD|JamouEI(I9) zke79_tcNSrr{o4bbCO(qtY=kz(sk=n{#g$ zjOFL}r39}^Q@r82)}JLzZkD4zlxrP2f@c-o@q`ioQiUqf%j%ZDiam8)69)xGqJD{k zVJ}Vv!K`uqo9-O0{|RC4Zy*fk)xU&oP()r~cE*wgxi zxgccAN2@D$*^Xg}^olIjH1G+druF?VKYstq|J3^a5C6mO|L~Vq`|@`iXoidsDVswr zw1Ow@8Tc&ady*voTax^jfBpME{7=6B!@u8WJ->XLs{H3){}rUijJv;Nds{A#P{U3k-hyO({o6w9RyRHA5|G>Oe!M08>l}LuJk1Bru%fACje+#)q z*k6;1{!J12OCdZpPr2Dx-{99@{}pousZBZxy`!}+{r(^P>id82-OERG**$OD;x>3} zFz2w4?7r_*oqvfkEJjCTVUBY6m+?ovn`xUfc!saZxNr-K z@xp7;LhJxK-S+M)w5w&zp9K4rb z{nvk|&X!dV!Z;WuM9ac$a@8NxHSun$`l{W25|5eV>zboqE9NX0^^R<3theK7C{I?| zdylL0p~}j~ytSrxQ$GltH?kCR;-x}B#wWDttv0xs&voBJh3{WmM)rV38^e(F+I{|D zQm)X{L#@+uLI=|Op6%RB@7nK!1Uu6ywJzOG9xAw*d9gbtk0!~T_qHz)M@09$8a6wc zWQ)ga7%?Zdu(uNfUmW!2J?|%>b30@F9y75Kim1HFs%43>?awEwGt28Hq&;ke%8Xtl z-6L)`70%jYUP|cJ5H|0GVLY9)qm+O(=o;F@QGHsr=XG~*_nB28nT&?RC5kbizmejw zShm1P9B*v8I-pcnV+J{lH^(f;9`=e)22sFXu;Z;~AA*~N`g{D8{qZW`O>Pcy~u zaa4%&5NgO+rR63R2hnsP4rD&MaW;d$dHG#G?Q@yq%PEoglaZa%yXom3VKZ2Z#qO$W z!ep{al4WKLjUQrGWvgsGn^i;YBY({Qt2dyo=J-~lzuF9;Xa&F-KsMeC}1g~5u-e@1^o0&q(w+`siJkbm|%vpj@ImslSKgky_(ZD7!Un*13XZpX$*jjX}!B)Z-S#jCk z<~4doJ^ZrF=2t6W>Msu#NKN?;W8r z9n#{lQ|T4IYN&oV#(_bjO-f+zxZTVB%~Fn639=X2Ii=I$+H$qEn@6hrjEocAhv=?J zr7UX>bZuLU@kVk7y^w~qqQ{rNE!D`*W-8Vo)fQC^+aSVhE*_~&VkJsQBtkGMOn`PA zuuyIFRiN?)Y-3uVQ>w5SkFnqUzKp)#Y~$bfXEYgo)wR1Sm*|92h#p{N$YC3|rF=y=hfc2zD~@^W<~Ak+#Llx7gGxI;mtiF%+^gFZUJic-XkOGVEp!aNBz6-MyV$kJJt_PBMo!^t*j69bIPREj4AfTD_ps<1u`?Q*SK$xYc-80cLIkW8hY zsw+M>lgj~9y?puDG28W5Z?P+iyof`ch%3n8fqFc+Bu`iA8=wZ~Ier6bS$VN-o#7rqH zdg>C{0^7%pW;5>b5n4%|>N0$5mc8$2F+E}r$&CDz(s+cCHMU%w^HQSQ>tD@;p@WYvABj=ZynI{l z@?ja?T0?Zlmv3eLc(>{eS(yBjokZGcA=k^_CFo62ovx}G>&{SvHSB&^G3hwudi1Wc z-fW@T#b4jVjB!_@CsIlmp7iBU)>qRq8Rvl7GA0>i&v|umE_PyP6r^_r)y;i}t;Dlz zjmvIpygttsLizeq963K4y;n@K@@4Ey5P^!}$+suaeCU_M4HZ%E9sc4}oQUW*&QEOs zi>e3eMMf6;eD_#PM>T&q7p|%oPMWWFAvKTO#h4n4LAw$ZPfsZ|JbG)TL)9N)&p*EW zJ@nx)*f&OP-acI1IyE27h&K_@p-FJO>CGa~e>QnFh}^PFi%UzK z2s%C4sdd`_rGIZ99}M&ZoPK)CKHvsoI7t|YbNg3jx|R2P^$twK(sQbqRKDc!^8(zE zVHDHvu{)lKsb(|AyUm-uV0B=M;N}VyP)W!(d8xvIzBC6^P`Q=awt4*F+1)<7YgNVN zc*@s0hj1Y>dGAxjo1OF7sUvkyQ>ndMeNv>mim&)3p9^V&L4P>EagL!3|E=b$;JNj_ ztEG|*jC#&e^>|tLo$xRI^xeCmMiAc%|-K#bvKd~-EG_!NYw)20=dR>oGr)9zy7E98B7;tkb^2arVK~YJ98Icosw>a(X6jolKLo&Y$re?v1O} z#q3JPKu&%)+&+fT;~S3v{-rcyun_&hqLAj4WgEeK)nBWwc*I$eU1sG7Rz5jJvXbC5 zS*e|Ru;a`{2JAYz4>wO)c4`PC+@Snfpwh7-F5ggi|BC{qV6s`!M1;kip{({@X7~zL zpN^g%X!7krkk%;UDaTAMo4iz3VslG3d6E~8MJewYK^Fbe9MZqqqk-~I#zsruXQH?0 z?i~Jnr9Z`&nDC)rntjq)A#^P-GEzToj8GMVGohh>HJ$4NDdbe4detlQLUxK1Z7g4! zr>rcS3oc?b`n^^R^m1)SCKgjUA5Gn?AKrrsa#HRdEdymH1y2cMy@`2Jx01Y*%)6Kr z{m0}V8w{F{Wayydd)d=s9M@033jP`yj(|!lg|E;!3s)J${&ZO+l6(_EPPEA7 zp$pf0c~Vj~Uz*HF;P-09bU9b)q^MC?xX31`3G2g(5lFKvn^dB(wV{5VDX?~Rer(X| z15%torM%vJ`BJ0P&9W{V9ug#LyXA9!&zhjJ?K#uZ4?5ejn8<3L1UN?{z)6;4nr{?% zoO%Yi&K6rM975H}OuMz>uu#x+d?VwWQ}pLqc_S+>f(5Ioa|q))aROf}iqA?HoOY|s zd{XFRXquWpbofxOnny}`wG*$>DTkaZsZP8sTM%h>dp7Ck=ANW)X|dv2sK$E5B_@rz zt~NTOxJY?8<8~KDR!HZr>kGNY=#xMs*6WO(wS)*fa8n~`*(-wxy%K5w9|iYVr3!wA zxP{F=OW){NiJg|aqoBZFG;-lnS}?TcMurgUf$z>lEY?z0n`F4t<7vb|yvj@9NuDhu z(4n4cJ&oM$e0l^I$uzLhLf~?VLNO7D$sR^gS6TIsxU9C-H2+nd6Pm}Q!9-S6LypZz z?|-j$EcEMjdL*XlE}Qlfb}q~_S)#9H{n!3kiRO@4;2z;l-tZX|C#c@z_Dl?5T%F2} zdOG9hG#c`mG*b+Bvcf0~u}^hbN#i7mC9ONGSR|`3F&o)aO&#^h;O;gPoP?CoVZ_%q z^Z{5Xqt78b(&Q9GaTHtYmp`sI)hZo-`N~-5-3Akm4<@Op{5b-Tk1fNWv$|vg1ey}K z!@Mg__r~Of{jtN)%Io^BVw4Hd$OFg29WOoeszjpbxishyTp_$f8;=$4{U!m2w|NT% z0=GCK?R~N*&M)5<*|XWae5}=UGy1kan#AA6MhQ{kAowX!E9lUCAJ410G1}@#<4>wk z(>ERZ%p!TuXABOs`E>pAv7B{o`SK@?I1Vx>UnI@OaevBa9$sNsXjrg_?CO2G*7UO|P;U8L>A}EMdigFD^CrQ)eJ}9o zq+g?A#jVLfJA9L$b7RL<-e%H(x~?vHi!pG*0NQfZaDIvLr=R*vSIYYsL!#FSxN-X(P&8jGMg0W+iQKWT+(utT?ZhO1+yE)PFjei|2eT#p#am zJUei##fLK)vduu{G$ctW|Pg46!^n zQlo>}wqw*g>e+VdjtyI#<((A$m|ZD}!EmGAT05AvXwJ_mcx4 z-$Rvu`K~nY+IwS_k5d97+&GjZJPGE%44E2Kc9w^gSdmG8}&5%$E4#Z zRz#=2P|oL!dP>t)n;O`ra6IahNkT_9w57N{ww%w9qIX3k>Km8V-vPlmq`)ngpYp~m%!*3VWG)qQDacqknU;lk!Sdfp2eo<414GddF!VgH8{!GOzlj>* z1TuB8kr$RLi}-q{Mtj-wcg)2L~FJx*p#PqmQ6^_J;Y&FHP z@fUvd?wvgJVD(mHbkVp)V&NRDnR^LB(Xl8zxr=Nkpk1!T&iSAzVrxYpO1_kX6@H;8 zO?zi&CJz)D%VSm^2$-be?uXRS>eUt32{V~jMh#3IR-?8}% zGqU-QqyG7QlfcklnXw43wp)sLRIC!(xVDrLB4?Nkf`Z#J&N)dY_|&zxB}JK; zX6Zl(yB3l3m>k4`C|4J21nX55ANx(!-m`>)HE?zI9==e$TPU8mvE8Z)!Ofg21$sC- zvJWozearivzm;34r3L5js>)-*?se9``jfZd|7M_n6T7eiLa?vl!+eEN7V<7h9*WT$ z+3xdD(NV`cEfqTrvL}IZ5pTlC=q&+mRK_e7Hf{Xer%#6gP!Ht=3GvDNnN7LRHuV%X zvs9Sa3We$y>57Ikq#Mb#gnARNWVS41aCa4aNewf z4JJvo&hwxB9ub}eQ;H^cYC+8@Tesw)AfHSvFQM2Y=%3u3Bv@u6CLwD~XMU|x(J^^f z@x_G4T5a+7Mq%51W#Yo_yHP-d2aiWMuFCC>hjwiqas}RruM-mAC_JL{aH=g%){-9QrW?;Z0ed6AJ`44VrCz=!!>N63nhR(%CtnAoc?)5=BW!l%K$l zE$6}9uFbNmr4x79t2{d32z^oe@(=48B6izB0^Qef(uavBXeVA2Sh{$V=vSpM!a2A# zVl;E1=E>FvY}7cI?@*BVT|0)3)=jwdVxK4|1OvGtNEBHb5FbTX%-8Ig=1eJ`p#dyp z$h|P&!RQcD1>bL=`cW}#Sy?X(v56=wfz4xjI;DdYFEn~&QpZX>mr&N8?MDoRCd(%w zWScb~+XJb`L6rLXI@XucdXE2Qa;sLzeS z)uo-tI;eSU8$AdOy@~vgo;O|`FDpsy=@k*4YiO_-o=VtFJ?i?HjOT4_rfESgRRUxm zxr*AZd{oN_`wQ;3baycib=s8qH#tAvv2}@p5hNTd*F)$N%YP49cB0td@OLABeiFOTe$~mNigIvB5?ji0y?aYkuMasb36|aCEHt=6@pV;s znBW@ZtMth|Y0+w0M9?1kYT3p%-B4@B^)_c<=nzd#svybbIrrASBH!Asf8Mc?Z|0arnAzBh*JxuZW-+B>v$n^4Bi3s6?r-?J zK|J-n4D}G=8i%UDXi`Ih^J6k?b2hERe0r33!ikc1YYK7(5;R~VQ?N)GF=_R&o^h-) z1owipopWo`{skl@LTT7C8v0=Ja@%5 z-5+zhX>A3+VKNzCnI-Cu#aDGqGj}@1st29;-oin4%-Uy}ybLUp&EzwFF}}$=k~)Wd z=xMAf;h_>M#=Z-SEmi^FU7!s4($QSqIhPf|4L`Lm$cbQZ9o3ks>9Nk$6i_Q84pf`t z>(L?nRwTu7%I@}jc9ei;y{2v~UF^)pKmK!ik9@^2HQPGJ$6rHJgcET|z&Old~BNLT|yp*{*0P~D)zmhxF{imz%Slw~8Ht3JaeSeaEL2slcQW@udH_m8v$}tN^K}52P)wuX`a70nS*3by|ostMH_f zsaw`JFW$I99%!nX>=06k$WyJrA<(ztMkOlx^+Fp_K3?N&cV?T6-ivWZLARXu&YxcXvckmd-`%h2TFt%olcuGtGp>}1Gf<~WY6 zce!5MU}R>!Au-7~cNY7 zI+>Vdg}~Znc7~!sxv8i2TzfEHd!r#au;|=ItAsFnLPaUFbothxOu_!dgw3pxMRzmD zcE#q;>;JymrB|RYUjN>pq^S3X*vhQP4J6~GrfcLaqdV$2doA#1c|)rxs>_Cv+`GCv zF7t*%oplY67t84vXs#cl$`PS8F5D%tS#HY_TB8>rd84`gJ8>bvw|qMg0kXN|n@y4N z)W2E#aA>}_5I~TgCy7K>Jl(g(S&vjdT+pU|K|F^L^>=Iq`MyuD;DuDx!$E+&FC{+m zhJ?YDymaFcK)~m0+3m4Cf2?p9*}wj&M*0{cBKp}Zu#-IjGN0lyVik6$DZ~Rwa+UVy z2u31ywX~T&JbcsT2ZftR(f~^U=C`SO*5j)$trfWCXHb0Vm3R~CPYn&J%GeQgclGFs zQSdpDR-3ViIzJJgp^yUF^pUjLHFk?$Ja(Onnb(AQxI+g&LAK&k`bsTx(ygZZ?o`of zy-oK}Q8^eTxzDTOqWCt+cSExDos_a65jdB~YDb>zJF{zO(z(?-L!+oM{9CTH+REk^5F+B976P{8oJ&&a1udPpsW4La{G6-J;~CbH+D71zBu2p6=Q z;o=%;uZ%ST3vpKL+WImkG1|85MM0S@XD4T`np)RtQlV7|7#*;>uk&`Vmr$CpU*q!Tq;Yio=S=^nG;Ge?9V z^EX=q?Usz+Y;_(-%WjyH_q77EQvh{*afJ3PNBvOLQu-qWf+HY6zLB=4zWaMhk^et@ zWT;p!MfQnCrbAbk(4_YI%eC*1T(4T*q;xKHj6miG0*lP=|H( zT-`MJYdVsSddG|8)z(qKP>%XT9P<^16wi>@;A@niyt)>{d4+i0PZ(RA82`?jgss@j zNE5@2vB5!=*Ajl@lZMbLF4#c7XmB;zV0G5Qj&NM#P|oNtFV0lvy2!W$8Pe6%(>HHV zh&;j=vKT=ugrP+FS$C~o?hApBm(Og@xHpfYVk;mK*cuuluRjc+v#4>ZP@VCK+!?bZR%lgU z(4khq-h}^?m++hU;vrvTTalH#$I!P#KEbX?6M(>b)1T!?SH?aRh+L49XYa9ahARs$ zOn#%+ZZ>+9GN}rqwd*u5>MGs*`Mw%`B{UB$4xw!Fh#ri&J*y|C%j=Y*K&#H@4Z(Q0 zjN*KTsz0RzQU*yg+H5uqL$+kh7I1kK)vCHN_i)9*#euG9qrEm9v+{vj#;v569##{NGsuZXIc`rRB!RmGJ)PPgwon)RgAfRI-Gb=`gTKSsfTrE4S+GE9mzS$iUpu15VU$;eEj_Xjz zVY}*!$;{R4Ok?(l2Y|5sQDw(%Tzss{8+-3``_#9oNteX*zoeX#XknhDcy5_3V7Pw=zu2TtDO9FQ;b(Yk; z+q^E;6L&9MulQpn#<_`He<63C_D#Vtmi)=Az9=(VxZkYpB;lJPv7sufRLbkbAzMgY z^z1C@LhipzzhI~%mL|=7mAAm@T@vZC!=uh){PKV(LCSQ}t}@!VdCF*63>21$Yty^# zDQ}+@I4|K%2<8zP!Q!?-G!hCo=sHz$Qz7IBfjErF>ft49AqJpJoCe<&0s@N$6@AUK zC6`NAww`;)7BRvsTXzkw=lv(rIMqbzV)&m=P24e>pAK$SS{;*cZ${-ev~e^71kqSq z^J~8I^G`-7_GmJEx)Pt20i1$>;vIRi_H~x^EP&)iMBCRm61oEZl*a3E9(|ZW|DjchA`aF~#X%T^y#DsuR>?hMcE-Jby>GZ#wZl>Mu zlN~iqBGgy)lg{^g-^N28td_XXbE9>-n|7z)T?;>VNXF&p=q3KYz0>>g;-w%6P)pIbD-pOFUFJIq6B|AxFc1VSl&IY4>3-B*U@;;*{e3+QK~$)BhLb zgbZR~!lEsU*CVDN+-yPsW2OkLz(I!)`fzi7ba9G5WL|;a39i5 zEPiOYfL78glZyiepc%k;>~?UN_Q` zK=d14cL!sPKV%|YT!pPcQS?Gd;-x!RWW9W$Rd+-_54|R=r_F^h57TW`Z7veC$3{$Y z%L{eNtKue~m{Z2;bN|8EoC>-07ji+JH0722&e#+JUSqSWTfSV$Q_reSHw~`D(-9mE zIb*#A%C1C%Xn8Mi4_-mZRV2lIWZI(fqm+1%B1nT@v^gV|vEa#o-SHj1ZWmL4&x!nc zvl*=geISSt#oS}s3z_e}=5Q?AGR}b^b24O>Jx87S4SC71RZ!#Av+lSiV(+3WhZ}ky z#bU$)Hb~!C6$`CEz7-(*WJD&NIvNdzcEoa2@3Kl>?jO1L@n%-{jN(V`syPu_C&Va2 zW`T0t5kzPU6`t#QQt)&MnLjtvwAPkF2D6O@hj5Ta=Q=6^q(EPHf(lIjIoZ?aouMB@ z$F5+Af+ZgKS)FPiyP?^ONujak#x4*z#V4X+?5fF95Gzn2c%e{f#q+e!JNAI=#Tnt{ z+p2!8^@_l8$Rm3^v;biae9SuO_`cM!-srPM&E>V$8|09m)lwKv>>O-?Z}k4G{}h2) zFX(ULYM7O~0z+uY?aPw+e-hwT`a2T|mXK~;Yd!7LmPV7zz*P_G*;l4$O_e+nQ}HP} z?%pYlD4q4+|K;wOeq)t6#IX~x63~U+#b}}W6cu#xv@I~sOy8!JMW^Enl3(yuTJnqP zVyyB*g)410CVZ;sw^w02#-s<{EGlE2tvdcG$-5yrQ93VJ-z&ZdHff*w2}}I)M%syB zTx?fF=%977?Jn~SmszcKjuoSz-%7u!*Z@AlBFlwfv{gy>qrOwvVY5126+xrTF1<(@ z)1G{_6)i@qL$`N*bvo9Dg7ImG(LqHz15<__!}8~H_pjC@06jp$zddB>?P_F;Q`D+FA;JB{;AHAWKWy0{!`S&hPGGBwY`)Vv_=PR~t#)4qI%O5I7z?^T`d zUOwW-{Tmq%NOzQmDU_1`(vmC?_K`zUynJhwyO%#HcUW`f%STx^xsk8P^B~RO2dDH4 zG+H3!bVIs>#n*Ey-R8y)3V&MebfZ(%=t=67ebl5S?sSAt`b)!iCfNKmDSG(8%q(G;HvZ_BqT(MIg`@P z`WeqcMUr02N0#`j8RD?(ixCPZxc%THKO?}aAugK4$o0ce_`&_3(b}Wv;C*4Nbi;t( z#H5c_--NtEL6j3vnSMwTl}88~BgvCQE;MY%6>?{<-YDx-B+$d56BC{I!HI^i1PYmG zy*?qA;|JGKU;Ve#z1Mq!Aqq~|k-*)pr4ikT=4(FU%1ASAot<;Rkf_T3HYwkekii;1 z)ai|kTp)dbZ%sdpb4Co{$;Xyls`Oie9|%7%gTy_B2uI(*9{iNgLOo!rq$3|Gj*3|+ zPpN1Myl2dcX#|D*2bUqPv6>A-KwmK*pe7Q`>l5-~M*89my;EHb9iEnC>??Ifmk086 zHN9l>d`j6m8nD($x~zUesoAWtPJiIoYB5C2tq+4x zGIeG@d{Xv838OK{6vo#dD)F2agpkP_Zu;Y|`9Ta_q2Ckxy)9L6+4!1eJkb*m8+iY- z%8P&U=I+vS-VW{E6{JO4F1v76k57s`R$^8fWYUCG{y>oxacV66W5t^XEe@X+H1?X( zboKNOl0}cj%j~$1PCpsu_7Sb1QHoIq#D7wd=Xw!6<*1$7WUy(T=4C{L2`IW_)+*wt z*(x;tE92d}HLi?LyuSRxs#ZeB#FtO}jpAt4j^!8fLh%>Zw_N$kW$-h9@qEjZPx!ne zpZGp2z+VV|&tC%H3gnX@u|oMI^sP`n2@}JKyikC>aF%a`1R%5($i8dSf!d`L57GM> zDejP!55IYgjtJ=%PkT}1KnjksGu46Yc`uOjxDf{QgL9cTkXT_hC<%BNx`7%%C!rMW zAZHswrU*5%+wmET&N3eIF{0b?X`LfY07_!NMC2skJuwdW=R1(7*&KKTqp^W_dc>#!oqv!O zzr`Vq!hxrV7+sr1#6n77hlb+?bOJ_?nz}NK%k`ikpal#TcU;y+JV*kzLYNW)TBF66 z!e^uW#6x=^_fQ>kOSFd&V@n?v_Nhma5qmPW*|E~Q6qxvGP*4?GC?kwEHp{)R&q_4v9N zl8}G}%B*rChkeYs6sdks*dUug^jb<{k=C8=Va(|<6OHIjMDNLn^CF_~*p`78e=S7Erv`cv$KmHTSln}p9pJm69+GMbF zNMXUT@i3FrG=cVgXiWuROFux&DVjOakce~C5#w~k87%9GBTjz^l*Bp1y7?Y~7HHnx zTz2~`rLu}i;0ui^EkuDWeVPabJ6gcWY6pDARwK>PPtd9uQ&Zy1t4&&S6_FD|?8G## z&=~{+%T>&ZC9YC#d#~3(IP5}7A?{CluB#K2Rm^9smw^0ywp5$r8RvanG4c#ECKqifhFX1xWfV&E6d+9K^!oz|d z5g!a@_BoDWB#WOrysRG1AC4_%h)oITSGv<(i2W@FMNR}O!wG(iI<=S)j5abFCPmI=tn2BobUD6s=!Nrm{QHCRN zFD2ZBfZ<{t$ZTbG5_SqXE@Ms|I||SuG=VWI2k{5Nd}r|v=b|Tvl_x!FYi`VhJ7pp$ zF<484P*ij%d5ufB?hl*1;_P4Uj4~jy;xPHqgh+r46^SMf9RfIV3kV5j4y~y=6El;< zHi0XhD##h^RPKZ^h1kMr$&*V+ZDO)q+98?}W36DLu9|$6vqyYsEhY+Ci&%S);~jDl z@%VMrW3A{;(l#08ga9L0Cv+3#t0|fi@I2rU$PB{RM0&+R7XA?g63h#93BCvdOm`yj zTvB!kjY8;a3`RgLz*W1kqc@V6hfETBgQDcB(*xa3unkOyQ=LOozGUjn5K`D~hto3< z)k$rlPCrjrHDdeeuI0hO(ZZ1q-B^||HM^J?(-yaOM}T@F)qG#^k-F4lPy^PAgY06q zL407PI7sVK^Bwpwk_-1eJyXKOeErqYcuVXRv_;FuOnLZQJQi+f>n4uJb zRvXC5N5v*9vgh(riJTZ|sAw~Z8}wD7-n+^!mIf%2{+0njVct+-)Fv+_B&2UsB37dZ z$Bm5kaugpjrphj*YP{gy^W5N&B4L0NK-cO}mDPz+<_BK$2>^pc7$4fJP$DjuN1?F6 z2F#&*TqIZ+pAQq#;U=<|#mC#EQU{cdKys_J!-zBwgc>N8%KmtMLRseij7dp(;} zcGfit8uPL1)H1P0%8lDSW8N`i%vp zHHb!kOqsnQIi^hTO;+slN#5XxXPp(RJwkiXt4!?CIM{siOzzZ9p0bCmdvd`ExtY$V zfjJK8Q&wl9Iw}al?e^x>(76s-lVbrW&a|rqGo2MW1O1%qr*!pHNse1{cU&ww&nBbR z+~x!v?wU$lByMC>tQYglz0d!lY7W`eS{pmWA9@m77c|PTM|C`6da0@#3*eT7KId|O zcw_CDSFOes)vT+>>h+9#jZ2U7T+Ke+kPHo_?$PYk8`*DmS1o|97Zl#)M=>S4<_dXN z>1@JFTbCUrmp+c}vD@pt={Lx&Fy_q_&ckj8g$f~dtUQLESuBbEV@;;OVvqm zWJIb2`_HpacSoJO-yaVcW=`fe^Uqeozy43Xdxx7HZV%>rGjEzMv*cfK5t0}%BCui_ z2*JG7@G*~$2u*7^_IrsNlxxZq*C?dN>3}n3`4%12i001tPKNsI3gXG8#}gmeDTnIT z01`y6q^c{n^yO(WqL#v#`pVo_MQe6tkss;tC;2pHClM{QQwI?;2T4$#=@=-0l&Sg1 z#ka~bbC+S@m>sH$**iX1WC_ZTJe^W8ZCA3f2pETUaHny4FP71A!)O+fLEUjGq^-L3 z-XzrJo?eOscxN&yx3gq)6e2twM5aOpR4~~7#F$PUS#(S@zT}%fmr@5JIK^=zLPLV0 zO@ywx98&1(ePXB%hI!qcq^K>Sxy2C!)p6c4Tu{O?kO|$(COz?dRkdzAa(zic-V=tD z?Ve;2=`LTJ$4Vk?iT>Po3;Kw0-Kqd@fMG&D9lyB~KL}nx&28P~?XEkLQSp?P7iRI< zm_ExUe}2B`-mj~S-v%u1a_ZgR@auDRT;;0foSM+0bgVw{Ox3TJXQkhuzw(Zt zq*&8RMpyC`j6Pfq7Alu^=qhvGC`pc@YY1)~g84E^`TnVut?j9uSUCYpJXvE*|O zT`9jLhapD!=XAQR)dr?xd5U`69b(1`Yzr=4|zl|>-!)3~0JI#DREk&4xq9^!B4Ao4X!zNdYb6|Xmf_K{d+ z8acM)1&b#5E*00OPb?vaOUN}9rJzg}NgL!P(Yeo!*mo<2nL7zXgKbBMMQ?)9P)bhnD>c#eQt_Vj___3)h1&$&kD!re@4SH z&`;dh8Bx_`O@rR5m{I{NV?!IgCS_L|bJN#shxVaM`BOx2V$0NZ-$$0;;{c$bM?RkP z!{)x{MQ!pe$s#V|JorUJH;hAGeqoh)(KMX5Za;4ocul42G9b#)gR{eEujP&Uh=tl% zS#c%~4m1Hm3bDhS3A`SP#7?mh5PUM}aI~9SO9uIHjhW^n&*??Y^KMI5#quD{mB?n= zP=XPkfCor_q=;uHbd#aChbfP|46300(Hl=7UZKX!E(hP74C^bi8M1J#9~u5Q#5if$ zQ1S45#G*Tqx=CvaUka18%u6D18UHsf;UkOVNEo){a~yut-zcu%bzMCvepq8v(PP~I z%)21ICsfe^TRX!v9PN|YOUGzm^c?b9dX zup*O#J2o<*MmT^OPH9EB1*dNGDy)yxlQm70qC8~>a} zteId?jC8(T-DEvzjT&;Np_g<1oEZYF_YvTbWe1_1%K zGVfx7#s+e2B)p+8cGv{MF==GKh&yhbuU5p%=!tDL8-^7JB5s4(y)iY`)}2owt_XA> z&~b$>fdXTz*v;$J3v%4+iY3G-w$*+1Ud(@ey#i}TK!!zS9Mw9BTuqA=wxPR_Rfz@> zVbF`fdDCkdX7+(w6mQ69=$49y^{QgZ=~AITF`$XIH`PRMsGDFPh8R0EZN-=&vhobo zoN&hWHQh7*B(I6haOX(3*`rKVS;{00FQ;q|*d^Pgu=v`iew1Zh0u{?aTvvBb%}QMJ61$iXI{s2XftNoqWdZ0yhN?Q9)!qay(G1acdITB;KIO{6h0ok3&A=b{PkJ=Y{PJ!9fq%#5} zyW`YMCZo-;?;ZrNI|xcfU)3Y-Q`i>9RjlUZbDr(!t9~aEW3`Znu@-+|U*M%o1?dl+ zyO%g4X&&k*JS^lRx(gQ5XRM^>Sf{*g8^zbY7^ItG=L<;c>JKwYOD4E&q~m*^1k+j)bw&ZUeG`83{S8HbN=6N=t?hlbafBLR?mx{V! zFPyd&P3d*#B#V7u6z$nG>>XB>z|f47a{?|f$efK)vKVhAk`SMv#mCFEhw^(>f!NS> z?VB#gwtCT%-5w{qT15gG>S551TcKdqq6S~R;W)wexJvVC%@A11auT(0TzfcAD2wh0 ziavg^9Em|ZDhzXRJd!+hJVmpbxeNoNKj)bgPnR1AqEfr#w`qr6N*4<)D zULJG7jXCd4woZ4LlmdY2^h!wC=t((Sf%bT4VsXg1tcUkXr4ezlg~83_{wjct#8JJe ze%ZIi*;}0TqhL3{#95n%6zNa2NB1%pTJ_}Q3@4LtoY#U`Y>^jwi^E6Gi6 z$F$$i-Q_Vssj+QT6nKghuN5)XR*&^b;NHts+C~ z3>Vr)nRXSH#XfHc?QzC!?4%*T$o0tRa*3;MNKd;l?-+N+?HV<@H_#Q;;pJQ0C`|%{ zeyz2xua)6PAbd%pK3Y2kg?`9nl{v{nH~eyn@Q`Vg zMlJ%0#4;_LvG-pogXWZV#QW5EIrc-q&~%mHKukV%$czjg{WyMoy9bkpI5K|nd+*+f zf%0yh)wr9KmwO!4#nF_7W_EPE$C@d5*;6fPPGqy*n+vQxg>OW+H2XcaAFtlrYapxHJ0AupBR%#hd#nabBb+VI&p9^swl9s^9LF)GgzLa*0J$ zzvEc7dgfW4DJl6=uY`CM5>kkMn7|fio}kq<*B{V|nw~3K6|$|u;)RlTEz_sWh%(co z!n5sv?yB;cL1pRJCe>?SHcFXP=fjEniR8d_Y0kRC_ws!5U49cKq#CW zt4%-Tv}L8dk2eF6XVI;Al3h!3DJh_&YS(FN;E~~19KIR{k6CuPe0LeX$tK@m7k{K5 z2%~)-)8@JW_I@P2Ps;I4wt}8Y+TG=!;%48NINF*9J8`?e7R64Fq|=Ywm~d|QKbiUE z+os12T;vOwFJ?Y2PW4YJRJJBT?lnIx>{wf&g3FW-?!11H~g z&ImbUTZ$9%+p?2)u*F{rn1o^4rWToPQ$>zN*>g3+E%mQPwA@Ab3eb) zh=c;%aznsl0n`4n*OUdnV)79`(7eC|+`e8&^nswXVU0s&kS8ogYI8-Nq0Ev)nd6ER zL=fEG=q87AIF>n#sa|AlYCh3Mf%(N3;;bA#CiMnR=2RrFa~$@~+XL=!QpYl>W%W&a zNj2<9wgcn;`E8lJNBb@9+cx`rVzzdaQ5T!c{fK@qrdaKI*dGGEJu_T8iCC^3+S8WC zV;?7#dFQ)J12%QDg+y%<##!V-T4Imp>xnUbW>8PAs9@)2y z&fb;8;YA=8NkPIBNLl_vv9tSVHPizM)zsZ(UrCwND0*<&$?nw7ABm*ESC0)&9Qup= zf8k$v_YOU~t~B4+)B@gg^;ReeaF){c-4nPr{lT^+9*HuE&pt9H(C(ULLYTs!gzR}& zJ+SYIUa7(Tp*5^31}CK(lDx=`gSQWyL93Mj9Sdd&e;V2jAB;jhiy+e}*YOOVTnZ?} z+EWM~0J&lL_N0`Ibw#I$4K6E(RDtqBfbeF{s!zg}K|{f*tGRk5#>@1*o>-_qr1`cqBSvsSp|6!O3~Vgd@->0N$5a)(lbJg7-?BFsJSMQ4Uy zmYbA_M7nFGp}JtNFVJ!3C1TbWL}frajS=`-dFsuDyF~>Z#q2f&)WS{n39YpHvZ86@ z++bc7=0=Hm@uk9f$a(j!Pg%PxNbt54@8P^m=}K=|N<6##c$Pp?kIlJVMq3@tGJh0` z!}W#hsp$>^LA~s`#iFpM1ZBQO3S>sS_KgzAFPS8&>ZxD`3jD{RPTOaO;A-lY@q?jU z8M*n?bQa~!!PyBsH0*;??4q5I>3R*VtzgjSUOoHn)3n}qc{42ie!je3i}{7v7m{DP zecfChx8}~cOwk-(y-#Uz#Mt#~(w|mgn5zDw*kg7)?PY8~uhd~DofkUY^8ERZ9WP3p z!nfbv3l>FwY7+|dCg4pQI(mJQJd~_ zV_!~oIG^F{xIz*ALO&ARYD!=E<2ozrD!V;!*L^rApu}9cY={hvo~)|+YMI;|wm0Ui zKRY&Nq-T(vftZVSO1 z+t93a+OpY^0BLAxoo-t_qS4Lf4V0EBNV5zeT@N}dlk@7(gW60aClU$gxR745^DZk% zP`1sAGH1Z!Z3Q41i&|AhwUgt5#+A#>RZ!$BKKkUx>|hF@wAtXQm8I70v(K9iR3GO{ zcm{=h`|4S7yqJ5MW+vx;zXE2{V<;(Em=HJJD$Tirq}i=;f%<@RAC-Ig`0GDFTORX2 z`;T6}Qy(0pC|eid%!bAv`65HXUFJl<&-7}u(oLHe+g6*6+@q9ZrUEPH-+WTbhAH9R zni7K+Dj1E*MV@2D9aA-taS|0fkuVX~Vw)nd^MSAKhYm~N?SnvA9(6~O{o=Ey#7xPa z>S4n`k(qZeL=qe`n@nw`+|Ik~dL~0jDan?4#*IOZm2*?ej0fE|v<89{q$FGx^}Ji9 zeZ~MymFa#iy0fi6ne6>)u=c!U-#*V4`^9Gs+KoeCSjW+g5yP$IgIRq+lG#%0MrHLx za#7utB~eA{+0N?^+u*pEhbb5@Z&$Mt%1pf$?y3!+9NJC=Trf~$zERBAmNTxc#44(C zK3aM`&G$L__L}=l-cE!qsir-Z`th_W5npSD2{;*?L=0mRW}m&HZY;{%RkTQx^(p_e zk7(wv|9w-v^B>bSwt;Mz^h)Qs^Y0g@$h2^>&eU02EYyNUk;^G@^BB1c?yt1Da8}qz zKJ&U>HPvc9VjAfi!Jg=s5;=R!KIG5>h{PnSJpWQ_WJ9l>jTEO)h?@50k4rOa3vpzxX{Hl| z&(f# zkWb!F7I(Vkd|C|jpeOVT_4Wzjn^U$ko9M7uM|)}Pde6s4DO(3yHT(R?`TfdZqF+}l z{C%jhGT#krXm+nQ{*`}vLRODeyKeI{9cmEL`+%%^Q8-bAAGz4kHd5?Oa zTt!2Gsl})6yRO*?QCPcgtUB8^23j&`weFN-%_CgQ2}Km-qYyI?R82oH4@dKBb8p^x zI5bcDdz#LI{VBzCOdi5GFZa89L0($?W6+Q9EAn<{#RO|Lm@==qu|-fXXhFJY?$Spq z84C?{p-DWHX(z9jNr1g6(~h`Af2uggo|G5p@}f|c7eB=A>*cL8d50dK&72wOn};oM zL(tDfiP2b~-xrv;eFNP$8pv^-6c^2kb6zPfoD|phXEOAs_r@4PBk3l*KQ2A!`^D+~ z)=RUa0gpDE6cpc_nci588w@kk8)oJkqqgNLo51FNHPNkyveuV%!5j|eeP2-Aw`Gbyp(0}@9MX!KyaeFtxg*zW_-d6V`>Nyi{o@Z+io$;GXxO$%eU$9**47;V z&MHDgQm7d0nd&(`uJUiXzL@y7kk~jNU8)lWV_p1z(s8zac?4-{NYq-Y;p9-JStkmla#&V)PZ8);guXZ-4O-vT9X`N}E``l?4j# zP&BvZmUxv<$fg~Kq}=r7X|pG);T)5w(U4#kQwfi%(FF&kEyA6@ih3N-kw$z`LjTgv z8$2P@>zy#vr`E`_uIAX7WmQ!s!>)GrOCM{0Z(CLRv4I0}Lm8%GdN~9-UG3|MY{=;1i_X-}M;t1K?Ta!Pm24hnc zIR}WaJyI!!Eow*rE%5kE@qWHlJ4P2yCQ!$w+CN*;55Cn$|X+D&Gy32_PA2;rO#nY%rQ_2i2p@}4fCVvv5 zOVUT7xLgn#zsMNkBT~t?kqA(9Xk$4)IEj(s(rO-ZP2$D`B+QaD0se{}JO?Kun!-0i ziK};o+Ku2!gpVW9R!n@$2Rp=!DEQir_HQ_feL{zTXyi#D(@gjfhsMA3<9F{SSkBcJ zYiYxKCQc>d>Xzou2+)i*hOdZW`9vpJ(O}$LQ z0!vGRz!_5{$mM4GZ3UA02=P=ie4w4y1IxdYfTGbX+CBjvWa)X z%$PfB=!#s0oHn%nJgInR4v^Sy=Ax!XsrfU#vgv!htW{ng`OKCcuk7ulanCc8k?N+f z3E8*mr!DurywMw`-a~in9qUv@mE1$lJ}HP=mS$URAoOllR+~jNJyGnd$gPP1ZEB4b zry7%H5r+R4MRnN>enRRg?JxdR8>R}JUv0M`xm&qYzd`CzLcs41$9sk5&ZHZ`=Q0)1 zl9BG{jVh2QDNfV}8{1Ee9~n{k@KfNJh)UG#X;a@Yl$GfD0xO{6%Qxca$cP&u_Sq7{ z4TtF|n@Gh05r|ZZlzEdL(`N>(la^EgCSxOMvaT^!>1L&~IzB7p1k6cnSILZ{E3fIK zjI4c~44mcM+48Y@b6;@=TV~oIM0NYrvQZ^aif|(A1S2SGr_g_2Ckh zb+|-uGU3=fTFNSX#JeFyS~F~FP2+OPMJi~^ z5aK!n(_>{WEe<=>1ueY@Cm@tQ$gl&G5ur!`J$@yfi>_H&J|Ri11YKi?rfxKkC#G=F zoAsVB)kG$?U6B%~Vsa$m2%ztB@+uN-mVIaYrXR^Dt<$U#DX2by^Qb`+@mHkysxBv- zdReu(93`QT9X;)T=DIpl`qBi%`J? zKJ~B#co;S%?e~AALU5F_Mc{}d&T8_1FnW!YKh3@3GuB=fDs~!o&xR;w7lQF|;_#T- zG>Q$_@dc1+O!(&ykrk=$1X!t9ekr_dLw+|IaCKf!77JRLh=Qh6@V%%ii=O!WiDB5; zhjk}mZjF>qz1SUrbkI0){4VqIF*RGFJ?Ypf#SJ_0_BIt!Eg;##5sO~Q8f@gWH4JZb;+hc?J3bKr_`o-O27ln-6YQ_7*whlPK6xSv zRUSd#_5~l=2nbuZ$9Y1pQRx}lEk(IiVAKMm9y(%BOG{Q6*SMx9m{avlf&tImHzMn? zdihl)ejo+?4TQx_soq30QY-)o*;1SAbmHqU5!rgZSNZD9I7pR4*g+S3n z6?XKu?82^@G8YMz1u1BI0pd)@s9AQoD`y$H#n<0H5;4wf(@Rm+JfLDS?|RZ-wz0_w zgo#5~@WzBj!{ga9elOl79C^%Vmp5lOkb==}cP`CC~r(d>2%(5d1 z3q4dBdUlx=d`;TbIaZmZaAdTcp;fH}OVZ0^M}y*pN3amX_60!nM%a<}?M2x`P=&sT zg4p-Z45G|FpohejotBtrUcUzVx|rB#S8=={J3Z_OX>O zqBCW2_+lp-%2Y7FZGC}Q+Kv3_{DZa&CA1MzVX}%1-;q|TG?fdDs#l*e$3#aH6}NGd6TYM6bMiH9J4dZnl5U#cZFj_XGd2?5$Nh@bvOVv2ICE#2QX#l;w1qul{+BZt~~O6zW4ov(y=B1HWw zfUFW{Zju=Ln~s11IoaH!v37i2f(V+GF$h&d)5xLj=#!SN#XjNaekuW{O#6tlbZkrKBumDPKr2nv|qzpX92V^w5u)?j=H9 zA97l`(A~yA{;9@6&`*fCFV^NjF=e*Iox{F$xz{Et;bC<=Xy4VN<~r>83wt8KJ;SO)@kI3_Gw*bG$K?c`gHCF-OTMuJ;{w4%CrbWdQiL};<(lHxd_EIs$ZIPGTWL=@=#yH2y>ZYmiEQ{YvEnFWTlE8O7orY&U)eV`T_VD!UhiX`GL&dqq86|%k zE-_&%LZ6cuDppBiRb@{e;-x;WYZW;~F z>SBV(D!LEY-YUjq2EMM4aF3E9M&^@CbjPAa7pO^O>#mMvzCl09ccuCJLI?W)a`!er zvSintSo6aY5U^+ConZrE1e*OG$XCqxj%dIOZ~Pw^7{D-$$jr#hsEmxr7m-obS>uJN z5h;Oy7lr}v2ABpVQOy=D(3C_<&{%_c-L|2yuIC4Ry$CDFl6;y@{<34bROXT|yPiwxhP*A*(h2nSz&aLNV%OR& z=GZ3d%Xz8Gn-HJS-Y_U!i&@{GA3@je8YP#+VH8F;l5Pp|Ojzn5IkgX+VDzJr9b-KX z*r-xA(Pe@sSPv0&KPcTT?>Lz&dPPhRyX=mrx5*&6LOPc%H%!)sb%z?Msn}#E2md>v zsQz#&mEXd1Ll(vOO4%^A>LV0AYc?K1_`)JF)tI<-pVQ5mlC!si z00WSAee^iOVqw_?W*OT5NnX`#`!k%%9ixq(+r9UW>Bb_Iwn1J}FR~u;Ws@mn0qy%5 z+hkMJeVc*>uT_U`qx>tIV{ z24v!dXSB+5)X`=IGUZZvk%o2Of=&CfV;0C2l?t1lPgL%uC&I>aVdFDmUvdul*f2b6 zcV0J{BmWZDyef{_k)VC2tgjPcS*J4Zi22Go$8NKs^ME90hn<))frMQZINk4{ajY3? zm~F6)#R=>AV*Ld%rWhM|s+o2BxRc<7E&aQ)oV>y?@zWFrCbKna1@?&<4{#()Lia6< zRq;irIf;&4ga0y4BqNcC62vZsZ3(sI0ZjmlPfiO>bq66X3qE2trf-3dRTUX|pk9DU z`ZaDWsw3TFPqsH@wiP#PzI9Q;`2D$~d7Q=9T6IeS%wmQrY$P~Gm}qR_-2~1qgYBKcPC4@$U7rRqQM)}M{4jO_(|>u3_$KXf z?@sl7WhuPsN@C^B@r{x=LlU06z9faaAyOv;H>L2lwsu)T(qM-d)qr)FG*?t%{$g~+^z77z*&{u(l(A5E2??kP(HBAkMa}!P3XK&$ar2#zWUL>_@{gv{V2~m zq2b%l0{H>GnXnZN&prFD$nWjVN=mr;Y;N7P*?J`=f$wDP7QJMiqK z<|SQgNdU}8*wBgNWbmEDn}Dy?r+Q@`?H3X}@h^W<&?7Uz5MRMZk`YT|0`YN)biLs1 zrHRl=r1=J}Bq4aTODMhxyhbSK9#A_KOT%|1sp?pLz!aI_aE!1h_|PMg({lznt_h1| zpt}=h&6|)Jfx=w@KS>rNsI?mj6_?16yu!(r%fdi|K%-=CzLCy|+MV9;8Nl^J<0Na( zJH_u7l+LEqCi#Kf(@vUn&s#K<6*@$~8*#)1c-tjBWlMmOkU93evFabe#+RFPUQaXc zN5wlNV_%7PYs2{m{kk}`*jyzc7QM{21oUk4L!nMKy<^h=fDQ9P0-W$$%y%FNHoaN! zGgp4&yGF=wnMsHNUn9&cwj4so5L7aT5hl-BLeQ1p@EI$o{Ecr}eC)bF@QanI6p8d9 zi@!xtPc;pKo|dm4T7-b)f5&41W)bJ4Pqxv}(wLOA%`#WyvoMv{zj|M0yslz}G!{V1 z1PU*z#{4bhZxK80>4Of-@tq}lZVf1{IL-L5Bo%xPdn8Rwv?n0P-{f1tC6D>yHJ~D* zO6;2EB}rr&AG0kYdM{FVRz4W%%hZ5p3wmBJT1EnhjL>FwHx|Lkq}JgG_2IC`98O@; zEQAH0{1&Eb3BfnL=K{FXHzn2IEQRIf-@$Y)NYfHe-diX2_zo-Otbgb0zi}v}5gh+= z-Qmz?bfA9$ha`sM9AnV;A0Z<7++515wZWN5e@U*;_cuG0D+f9rz}w%Onr#)+WAFOHbUx?t*a`5lKjod?Zd zjDTxT?T}2s<_l7_mdhUXIJBUY4skR@5nGkmBY1azZ!i=G{58la_%V&!>O# zl-jEAM5{2)^`R;V+*-8Iw(Ugn`bu1{Z~2RXS1@4af{#RiF+P97hUXkMa>g4d-GR$@ zY>5plBoQFDggHl?CXyrCuyhBO;RH;XOr-?zscLAQxAqdUfd=!8b9-+~;U0Wm=?@AKtSM(%=57&F_oZ`e%s z5)Z2_I~2kpG26(5MLJ`#n9UW#?K}3Q^H)}0K&OsCIS1p;;!Q!zI8il&Q7{|0cs_9c zRF?5zV5;kWj%DljtRgEIcN8yT{0D~{d|XMs%KW_3C4RB^7Naa70aIDnV5^@@$(V_g zg<)(3JlE?D%+5}VWXY!0LMt3CrM3gh?W zy_nTb-m`XK?4mGz7g?=4f}@}&fO6f0(&d@h+gGUmffC356rCb%Ag6%?jn+{7-SE9fq+ zOj6;Iuj$In2$kj8X}hJELOh4E=CI5f>R|MMCA*b?&s19`v)nPeSCgNhSMpie``BIR zl}jd$Fyay3+b7qX;0{gDsJvxO#q8Z%u$SCn>O^|rts1XgU>bkSmtLYt7Wwuq?NEU) zhK2~%!nUL5hD60p+OqAiXVmmmMI-8cjzzqyCG3h>3MhaecGRI}Q{*Kb?fbj}*Sk-y ziFRKBA8^E1XL?x`%CW1ms^HBz?2yAD69And&Wni3nRpRMJR=d-eJA`F+HuZ{f|eZ@ zW9xdKMTtmEpPMy-i4MdO8@ac~vN%2OowqfXi|HhBe%o%(>wwe0Ba3B|Jrw1HcC7Q4 z?h^z*aZa4TtB$H<&SazP5W}B@mdjL|1A0x3kt9fXA5$=)suu_p6g{di6$Euze4|G&D2ath?7KeYTw@TAe7{ozKK{W&yqdhNuHQ2 zngyZFaPF4a!XCuR091`DUYRcn*c`<6IyVKJ`4I(4diZbQh)BAN(BMAjtn44(Z zUTn_TIYHL&3Mg5a*2j*3MmTyt4!w8fl&ZrN8_J9YcZ>nAR)Y54cg~rrBr6_1o;O|M z@2ndo!pmHb*avJWqXZqo+8wf!;V@_fm{<09?achUtIP6iA`{=jEH)CvFfsLx=mDby zoqkDAggW8r;v5LYhp03NcHgo4JMHU}L>FVr0KOY53RK|K94L&KCbzj{dYP1op{0ON#2i_zQ_t(238dBI?vZnvl%Z>rnu+7A20QmRG34? zz2)l@_)#U0I<6$LXu_bd|$wl9D zCv<~QAA?;}hk41Sl`sMG-bY0_D+m{cA@)EYJ=!-*pA}>*QRlhGE_3hD#Flj$?k+}=r)X8(bDIfRc zRX;9?I@veJ4PohPG=5(^>5Hop1Cds%^H?GB(m;ct`wGJ#$PJt$;iK(X!Smuk1JO+d zZg)^ISwmDnz2xk#vKB+NG?8j?U(Fq=JsLP)I-dAaA?Yi4Lj}2+ob+4-#mhIAPy6!Y zz#Z%M#94@OV8WN@HdCK81oO$)U5O+2@4rCbs9d#LvD#`lHcNF47Osg8#ZCb4Uqq^ddqb2wZ zBKd_0epvCqn-JkasL5YLXOWPM-;;rI*<|P50?yY(CCPv1%{Pv`3>*$;wcplp8ZQr6 zec})<0hFj6^|k5rEYH7kg+S0_6w^3I-V)4e)A!h&)rQO_PX3w)WwoP69F(LLQH+F0 zk71%dViL9Fs}NlGP2FH+8*1umXN_p@n8YH1cdj}^&SE&L_dc~};*+HE?@{@G{w)&$ zD^L$a^?r>rqA99o%Mjh)STmV&eB052 z|BaE<*9oW>oLRprQGz?q$ztxE_;S3u#Q1EsHEirw@-<>2 zVCtTlx?aBHNR?+y!1jr~?2R=Qbl_L0*yg9VF5x#4cN-`+LoQ3+l9 z>|$_P|HW^A@B#6q2u0L;qf4Ai)?`a;Wg1?_9IMy9oqaZtF%AJwkh${h^fN0fF<{J5 zS_(w-!x!KCsA!zmKmO`>U;oML|L*mVU;okTpW(}GLG|NJg{)<^lT4FRXqo-pFaHqQ zS*4}^`1Ma;|Lm(De)R)+wmKMg`2CCT;SU!1>ib{)06)L~`ZEh+hd{sl^o#GUo!38k z{b!*6r%v_JnsL+>0UvHr>x<7(*Fl{>VJ(t={bOrY6CJU2Zo7xBv4zJ=a6?ns%%9o9 z=y$;6X9A;G70%(y&zmnn>T?G~ejjc8{jYxT)eo)pZL!4MD4g3bK3{(M`3c{@{*$kM z`1+4g<|kkM(0R-ER=zzSPtKwEyTANV1In-e92{3!L6A&o)ED2|F;{}N2mk)w>z|?H z7zidhc`3ViocrT&-v z@~hv0`M=$*A=72{#iwhL>L0)UtJi-@xmx-Jsg*zK2!v#Y>_@2lrx>v8z?Jy7e}kW2 zd=KCKB?R?fp~MfYeRrP~C#}lg&nNBBKZX#0`1&W#TfVo-e3?~rgz1(QNpqgaB=`Z& z*`n!AXz&@MgKB?_3O}Q4t+H62GpB^uML;0;L;3c{^rb)6W#RnYU;dQxSxTtW>t9d? zDDk_me{LzJwFKjF+`quMeXmk7I{0W6*$X+W*=)bs)hC=w+5H#a+kg4#m!E?+<{ZlY z_^W^X`p@w57gmqQX=d~npEkwP%xDPtXRrU*VJtetz;{ag`o;H1L_~})(Y9Y$wMw`f z1S~ROxEAUivi4;re7}$J{v8xQ(v;(CI1@8xExyBIaK8E;`}q17vdXy6m1VYb8ZNN1 z#C&sPGJIdx!0&$bd)CX0@fJcGKS>#rbY1T-!`1?udB4*cifQosSihfHZPsCXmR*F? zkh!Y6zx|spKVKK;vnl#>H2?Qe;fJq3!v=cJ);rU2iuvz;`CpojQ^K$R0w%^mY!kHM zM<|4Uzx*6RD7Dm|W1dhHzl+7XrB~jrgEU@d>n}d%Sa8sOM_6GXthSSBER8~oM3T}V zHb>-1l!jByFe{mm_zOJ;KP~s)LOj19L#sV=KLn9RR^ZRg%=ob+VQ5zb&@T?zm!H1m zweFXnf)=+bL*~y!#^1HkuJ5B=zhj*`Y{Z~g}E??TE9e+s4$<+UeJ?sToCs?|l*=BbB1b_S# z!uia}mJ9=0??4j2fB8Ab;;;T|%+=4i%WzZsB`XhblWn%sok#~w_IjKN+LkXq%^K7k zro^9f??*#E)rS0)HUwOuqGnm~>aVJP>&ng$huON&REWg-f4(t?|J9I*3HtAbzC2Kv zmU&6!5Ib8gbEYVP0q1f%)AN3XPBS1kg#s zWL6qOMW;MA3g>W{J3}}@l+aZ)N#ZBU+u6yUc&ki3S4JXfLfjZHwM?r7K~Zi=dZKhp zXOhL^ZsI-cEdl}$x&GsN6eG3^3A9{yl16*1=lhG4^*l>n){bJ4G0H^3QhLdZ-#NX5 zjpNeyH%TH({D36&%vgbUbX3FjE@7SR$;%ZWuGEh#ZCFO++`~|3TW>Zk!@o=_s>89x zVVOG`@tq{8sm26KH5&I(I~@x_*U58dj0=%kacF9ZB0sNU7|Z+8L?rAKhdmx@Qr6dm za@Tuw)*aV6Cs^!Gn_A}etd0GLP9L?yEAwduO0l?XCtViLQx8%%;yr$n_I;BKcaoh; zTUJ6Pt(QzXQ&sJ`yi??YBp|CGvW)N3fe+06Y(i?r{fkdI5;fyS ziHf!mya?<6_}VnS;L$^i2_E?FmGFT{W}Ik}PKwh{?oUH!fC{o7IiH&67jLAIVrrE4 zS;zNa*9(o`@S8};ZMWqQBs_ocqjneK4e!3OzFcfu!B{^We0p7RXK)D{aNSYYJlBL{ zW#Y&)U(qLMycx9Wqg5uMgQ`ME>8C0eiV#jBdh>tRi4GJC4PkfB$UJ#D5-p!EUc5?fUGa+TTP~v=H(@a%R1ho7C*#N` z3du277sa~V)a9N9#iKsq6zB^s0xRX(#tPa?6a|7{4#w@#GkP?gJ7ANT1WVqC# zX`sO)u85FDgT%A`i9}mh2Bsn7_Pv4OUEK99H+*&JxJ4;)!*}fc!8u`4)pwHBnbBep zeVu0{98+=C5HQb}9O4yHY(F8bF}`7syvHI-0F zvL|WSoayhToe@JIB;%b@!pyFZ*abg5usWKVv%y{SvMU}kr~fH;6}(#T;zhsw>!HeW9XHw+cUf+R+*N zg{>J&6mf&wJ;SbB-iX9dfU=sd77pL3v+9;{{U*PfldwoK7V+dOx>t^6aFn1>>PRLw zdkHc_@fjTmZTQ0Paj{)_?_xqZEi;Za>pc+q$v5BQ zacy{{BIMoltt)=V_qBNby!H;&dVm@t_RMOonwlGzK25C&6i{7#mE)3~JczxWrFlV& z>E$`CCzpK{VNIuRT8!o1Z01jS(+4HK`13t%5%zTM>UFlN4}H^@Wt|^3bh<67>C4)j zN@(6Qqn=7xZy1hGwPd3YgV;eN?sN9Erkz1;5nl2p8BE@#jO-W$?!L9&q|JRjkFL1W zdioN2_v*8s55p?-UzP{E9ozvb+>gP&Wu%7Nk)-tw4m5-X~!@b=9Ctu zg*^4xeei9c{roDG@!gYBWLIDEswke*d@MI|}y= zfwv5&8lq|#m_?W#MmLI16>C_krqfpERt;P0eI~_gOv~}!t8d9n}mV$ z>Jt%i--T^D#;P&InOvYSL0vO%vh7tqDI+EFMxaq}5)-++?bTtJ5NXsqW?;)3IBL`; z4N zqU4Ikgk$tke>6?K-VFpxW#BXm!b@EZFTC2R@VVq3$_QiJWb0CVv~P1+52LuBVjl&X zQpNQNg*M5T>8#59E;kKG#8oM}-qnENC>QJ)n9KY!CLVQ>8sC_JNNOV&e-hgmOYpL* zJW6I#MNf8JrM+Z~4O>&#ht;Zw*cC7Q8>{KnUNNPRZe2u|qABkyn?!YO73K_RZP z_b%8!CC`+X6tMY_{qt`$3w8+Yz`7rGiQ#4(hqgNJi^qA)YB{? zblk`|nM7{ShVha79(D5CG;*K!ppQN0hyqSDjMSU#H<-;Dor|HRMAGY>mEiYFHtBWY zdQ9!4L8RVv)A1&jEH@qvqfVddXMBYt_qeCVGtsD0Z?fymqH@(}dtxlFGJ_QN`PpnX z5e-&xR$mY)VdN1zBc9SJ?<4Qsg?o+DckIg@mO<5*JHseVUk;RCfy{N?nRG;OWdBfEmVQx$d2V?cTbonLzsJnQy7?|AtpdLF&8!0`~EAn zgYo=%dCJB!CN)zTrup~2-lukKiuEM3qlCd#(CH+;SVB*Ss|(5R*DwJ10vPq29kN~K zq)g1r1e1>YvA?(pUEUX9TOw4vy{)_Q$%@Ghrn9L?w5J>1hY*dP*9`rTKUF!NRQ7M& zh_*e^R{1KqhQ+k^#pywjQl~ZjSxua(RwSvI z>|Nep-8{(_c7>@N-Yfz%JG8j$n|#k0Rz@tH-c;T7$Lg+kgAFOLu!cKX3CA8Q;;H(< zO_GfDnQ_$d3G^zN(-j5#4ON3l)$|4?5-(k_3ZJaw-6TVAnHG*$MAqN^rVzvi&>6*? z2?z{u0c+zf1Sl(Z75vNd7mV3A@!auZ0{TPPE)a=RBCPcQG_D}v#L)%b4^t5=W@HS~ z4djA7Bn%!S2gSs|VGD1&$~cq>a!?S?2n|3tsUQPI$%w||Vy-Ae8Z)w=<=UGUWN|zt zFu(x`z*iVgK*&7BC5s+oka@{s)`}@|Q6jiNQ8>jd8fXvLV_p)3Gr|6EeU=ctw`q8* zUU8q7O61Zq4)6)H`}uq%!Z#q8 zgpwIC3MADLL=&R66GT+f)0n`(>4I4?Tw=+3A!)|3M;uxz)-gE7EZ{9X;yXsEpMYkP zI$;vBK;k-4v|4NQPj2Bb5_;#LWnEi?0p%&J zWb)P*cIfLx8`RioQO|B+sI3STTgoZT%Wg|>&C%~kN!#2>Xf@x~7g9UIVZe~Qwy2<{ zMywzCcFFXz_|4ParcV<}pja4Eu07hD64n}qB&0X%eHNHm<9)jWDN)7+RFUjl$;UA* z71_(~M5nZp`DKL|fz2i>NHBWo(bz~Rq4`t4TdC4kf09=Ot1ep{?Ds8}8KcW~d43dk zyKSBEKu@89aY@{S4$+-??)hiew-v~v?dAYhxFm0XyYdN=6EahvMcs&QS!9|Dh1T~ zlBpoeOzcLciL^xv-`kr^f*A23(H;am@FG9CMu4`wU|a1bESlnIuezpun!z&XO;gt_ znM!lQfvJ98=t-0CGHKTxYXP;$n84TBFbfKAmCAFK)3=3+S+*o#0$AC71?VkZB@ex) znhD>Cu1w&ms?O{+{WtOxQ^cJ&hNrwGO3sJKIc0YlM2QuATR7XYUgl5tVs(qPy4*_W zkA7qc^iC?|1i%+M{RXW*Lr6@5HNAkFwf&vOVZy>+2!yUaLqJi3+zHH8t5~K3fc=i6 zMVYK}yJ%`66A@kp^qIyb7r2>YcFI;T6tez1Yee*+bvnWK@tGaIJ@FQMo=1CGGrh(E zYHFF=OwUT^>U-XTx3pK*^x@x0;;QStJ!QAVZh#Uv%!nzh(5w~MuXZ&Qs%_o$i5lh; z+gxHg*;>Lem)(kKRt(*%{3pyjG8^9CJ?DUZoarz$m&1JE9!~-oIl1ai2HVYaW_ZZv z93Mc7LIF2BT|hM4^TXMuZ%58i-f-eu;~kw`<&M`K z$Ksgt(h>_y^KM=a=-AP|3r1t zWBb{rsSnT1@28r&Hp5-B(}5OpD)%I*8$Y+V5Xdw9Dp8avZ-O$ka9vZiSIB$U8`cLZ z^4Vm96XnKZc?J>MXv^VVF={d#rI;+oV{!YQjA5x`cd?&svzFdo`Ew`KZH48bYK$Ho z9+O!faxM#Uwg(zL$7G=#U2x0|OSx1{1A>Y*)h<7nj{0W5O!#U(@bgTeH}!7UDlcDo zE!aEZ6b_x+Hg#T=HJ$unws~pK%fA4?!X8BM0RoDHUvc}u1lDx0sGDDp@ne}r!?>cn zqwmm^r&bvH`#wy}jN!D9p~5sh!i>Us3dNLDS5-0`bgRsKQZlTR>1(8YR%M1wr-kc1 zw-4XC7jB+%<3OIO$v6^?wJL58`8FS>EG-EZ&@b}sn+EUKk@#TS6p(Goa7`wFT2*-o*tZs ztUN9211#BInt{<%WOkx+!?f}IIr*`w^*?;$?+sKIMxTiRXYLG|?Wt$rGmSr-JWW7J z*~xpvuBdnmA~~yh{D+q}*&hBcbmXiGLMsjpd4KW}!n;>-lG$}zhUUoYOaFT^{+d4L z@yUl|9695=k_TJDb41r5hsbc4y+kCjVxHn8UiTN7ZN90o6nB|Ca`fK>k2)aMgOZP| zI5y-Ha}TfA)O;IY_u2Aww-d0iUNp}Jc@eGh@mrj^u*SL$4V&1C6Q_qmsO9pnc65ut zW-`#_CBL$brvowR7kA+UZ?O!IICT52Bvza{1AM}CFcz~8jUaFmp*=8<9uG8c34B+H zW1k5EZlGOsqBiD ziOBkO%vkY9i?hEHAM7X>%F*f6YFIaiEpjTkMHTD@H}>fNDi{MiO<){HW8Gj{Hx?L) ziEpn6T+X1rYBE-hrw|~Hf;mlzrHKKKHg$u=ST~tERZEL!HA92{+}HFbot^cTT;tJS zG{XOxn$hE$LBE$NrpuHJX02x`#*Zt8)3OTIu;x)(oFG@e?1-V+*9;~#V|lj7G>4Do z-kVE2peJ5BsXZAREYe9)MF*OSJS32YpfvWCC!^!d9=n^J{cE`%$WJf7gC&Lu3jzzT|h{=677 zd{6RW8t9vaL4Wd?7GYCtvd1|u4U%lYy5OkGUZm`dE=&1W6MJHD zO$=(e7ac_7y+dQfOK{Q|{~{UX+v@YG`Eh;so%vH|T+9jRa0T-mn*Z=?LuzT9B_@e< zpG~E;Pj$E2t$7hH7ryJ+53sE;#Kb(LTPMlP+2lEvBT?vi zjuH%uIj)C2-@<`=E>TCJeI?JZOM8M>lfK+aIs@pb(p@vh0-7-GuGUSO5}(|-)Lwiy!cr{l~~oS;2G3;31g|mFf`6CD>noJGJ#d75Q79DaHk~{hbg1-a)Y?vPoWAF>#^El1vO87HnnnAX3Ol5S$s$8QTpv$ z4j@DbEoR-V^L=0Vlk85i#0IHppTbz0O;W-E(0-~Zs_7UkTgwfnAfkL77wv?a7Zmv= z!8rF+>Kk$2-iU);*jpdAM61_m5l6OCWvJ7uMiEv2FoQatv+OpTtgP*&1mu`b)4D42 z`*vUS4I78&>|*@Ecosb_O&P`m?MxF;Ttl^loTXuXBfP zwS_<$+0W?oOQ+uF46~_n=a$%h%z>3ln8ONlrKFX3rj7Wqr0ha}%9Y{_Hs<3s=ly+M zZk%zG@)we$cHug?2g8Z4stJ?EX3fb2QXH9W9tLdjkS%k*0TThBsD_A>ctXIHbg(`% z$+m}@Ia%}d;NBu3cP(=vlmr9bLg8)J_CYc-54S|Ylo}tOZbEuNNWe>mg}CVi&zxg> z(!04my;3E=GjTW|l4{!>p$-ltrwv?COJV~fA(?-2l7xNLV~M`8nNW8oG$Toq%Y3!a zsOhY*EhY2Kp?fImYfT%ies@YIkzBfrBw^c*87)W@`iMCvxi%RGVz=^6E~0HSN!cdR zUp>KT!*~|TaHc{~u4~uqLUT=o+q{-rd%I%#^}HF0;vAo}(&wOPu3SvBgXZ_cd=M`e zoiZ!I)6(CUyfhkph0-Z0zCy8m1l;4LkAyzRMFxlDN*fgsMQ8SqpCD3_o^)9vXnf7S z+hh;tnbfXUcl}9yYVW?(_oYci)rw;g3fuV>y&~@9qoputIq{T~1_w#nUKn6CI!5d+ zX8A1I+1i>lORsOHZIahj&aeNoS5(EvWR)ES2VUGt`ajgCqz7!`?1Fan9bHx~htZ|9 zup~76W}zxM#=Kr)h8@f9z^iP&w6*7TMN763m}jP(=DRL!VeBQLeZS}1D_e>Gk-F%5 zBpEzOa&WkKf-1CK8@n;+jxFVUc6HLcodNA59#QHB!sme{4VXx&dNNUDh*BHo0x6pg z_$J8c4Yc1V4>ydJ2OCZf$=eA&DUG4siPHR!7#q`_Ry5+x13Ic@5|7OnC%V63vp9h$ zLu>{shK_@>Z}OZ`ZQh!^pZ0g?RCvmQ(Wu|C`vlq0Q(!z)+!5~@CIZIky3g!oz1-J# zuRdkxUi~y{Cj0Zk{6y1z#&)wfZZxtA=UM{<52Rxg=O zBV%G;9*g#oNt^W&W)Nb(M*PvlBrf<27?&YQ(idp>M9GzqqkTaEU|Ah&NrMV%+w9fn zL~h2pRiB1|lN&kf9}>c{S3IjtX8 z<(^QLq9z+t$ypYR?W-<}W8@g{C5qFG>=nBpqo*LY%bZQntRLcEkT;dn-e;?8b@Btu zkCUx8tj=o5p!r>WRG?@}uHB&)@nWrN1lD@6`Uk(Myp_FwXe{oX z;XL_mtl1cO*FMi*D+wlp@fIuy=Ls-Tiw|;_{(Rd78r1-PI+*->?)YHe%OpO0;4>&hZkT20vlQv=$xq&l!W^ zaXvy7k0b1yn=FHAN|W1!`@OLD^$iuV)1#vupN*jq52m9>X?+@S?4;w250ebT(z;hBUOokxAlYc~j$< zIhhh3Arz8yXf=Mz`X;*a-V$H1fyqYve+|?Oe7=+pwfO)qehY;@Ccm-ZIwnyy0%{AD8U*yDLUpvN3uVkcyz=dNS!e47uABwb0JAGv8K-qcn|t!`L5G7 zlV!xdMN$7H4E2Y6+9UKb7-zLF>lMZ^dxMrn1JwXyO58z=yGM7^{`1i3_Jl^H^?q#? zn~s^%kyDrF!?9QiAvYSugB|_cIUcc-fWPtWmbSgvMkv-v#Om zIMm}S%;n_!Z@%6?8Y{@clg~bhJ$X`0J)C`tO1={4yz|v&VN-&}R?)Y9d(uKA`i|SO{<*T0`^9P9>ud;1NOcJQmFe31~d5Y2ZB0)%b;}gf2 zD)LwEfhKMEduHXo7b~2+Ce;Eq)?a;G-ltb$qr5LGWfGg`tcCYxR^R;kZ#uGy=s&Lg zEWHw16*3%&NmDO%E{_0Q+z$m?1>tggjZG4Fo}~n$$#>-*$!p)Ccad+^BpP;WgFnr{=y&f4mz5w z>&m7x7IzmD!Rt%@o6E<;ZKD)Vt`=7)1aYjGkT-Ag!@(m+TSIaA*1aemfc(?Nv8(I# zr14|9))YEuEHw7qVKNQl$tHkfj{Bwxow;JL zd~IVQV0{@At?7J$@3ZyxPMKx8}wjd7`XH`tuIj zYh@RAmL%5A6g!>qIp=qz%O|1wNumXIO^g(_h5STFvbt%pKRW_SZvLInUFX?Kvp=+Y zBPsX-D6q;KEX+=nLNW`2o*DGrs;UL*Quq-zih)LV+(q7n&p~ukvZ>nx6UVSGuK4(l z$Qxsa_!)*^gSPDXz5ZPsV1)6{hwgzN?6O;a%iFvIPwNAZtelq7x;ql6S1^u-zvQx+ zY;W@lCp82>zk}gVzJ~MKC9f=^;qy4yGvxEkr^^j7_YLB2j-D{BJK+*@0>|c+s7fsq zcD}9LNjkcRf%kz@H6s7Vy+? z%5K%<4@IW>YhhJ6uT>@BgHU%(VMChBCAT6)j5-`7D7?X$g`$~#SGRjCdIkXSdXbp| zirdO5*6m(4f!kW%x)`kmsZ~(F`0{P>&HyH0*{v}EjD0HZiaQzS8it;Ii?QS%)t&U0I^lhEtnby8+6yp`og@xI z_d0`Y-w^q{$9l%eiXG%W$H}l8h?n^%s;m>Y6*@yp@`1u9IZ?211MB~Sfi&?75GVmb z0T7Hk$pMCc=y2_dPptToibJSxsXo`17=V#P>-_)g;}M|{r}z>3)=SrM8|Nit(C`=h zn>jCG=vXG)S_-j*lymz+sKEdDWP4baIgMHV?HV%p-R%pxjn%b=nP=z>%I2&-!CHa+jxUI>o=e&rNdU0x z-Jzq{4V~b$v#_O1ibiJGgQL}t2nImPR&w97yh`v%0Xa|?2 z%Z}4tAT_eymD&sANLrFymVVjg+;Iibw2xZZ^$yH_z^ht;TYSWYHtUf|53~blddS3& zY?9|a>H+VKV9wBb-WmHjaJ?iE>ey2*%2zna)Q%!#H}rtPy&po2A}1u5#ngRdF$5J1 zC1W3|Wz3TCyyQWw6;Uo^!1Ov4(GBeH6C!-=WRe_`z!(_-Wy5OREoLag#96TK?>Tz@03tp$9&pxI-1tyzrx0 zGwcs>7@Imna4X99^I&JL>w+)}bv32aV*SL*%*67%1m~~F(4Ur@F6*IZVC>PA1^ajJF>}kqRrC z7M#wezOBCRLpd~O>VX$KCYJ-9w2i(dSU>TQ(SkIffh*!JqY;wX zaQr@<1?%(K`LPoZgJCJ0Cuqcd((yoPq!N>1EcY=Gf^n~U$;&AFd^4)fPP7mw1aVPQ z(1CD_?BzA;eZ`(AEJQ@WkYZIFdGluoB-lAalbSqI)B=AJMr}9PpCx1Fy)B`D3c&iP zD^VCv^IR~V@rs)l^O$Q#uF=5JW3pW&LIcP9;GIR6hm-U~vMV_H_b7%qOcPnO%-ujt zfA2DmhB3WQ4`+;i1>%6`E~I{XZ8&=w_|s$^hDPYp=Ok1buF!C!ix`{x!MMEA2AtM` zI0J@s-;h3x$xQHbm)-A$#M9mInWbI*2wj2b#WK5eL@R9puN^*rLF4a`6RTCWlQGdr z=!U89sEe>G7`#|%*GE-yhjahHgyYr2&?M|2ek?R%x{yedf-7zEo|cQBnocFw*9~fm zzFqJk(suQSCy8h+@!unU3v95uY0vbn#$S@wAi41)oD}g*7)0iWb=&buiol(%WN?yX zjtl~;D;%eUN*gLCfyY{mSJod^`|7hLvqv#n2xiPWV{Tu`wn8^5B2$dDV@L--7JguU zSebpx_kEZ?bhi@REV+%B(m}`{E?LSCi=lA#2^(9H$;C09(aq)k$b|1REYCAmepm`P zb=$EwOt1J<^Z0yN_aa(U9V z^d`_Y2HG|Ju;>ET14O?d>MIVZyjkZD_T=4A8c9eu@LZ(kFUI~I&h{Oz^c&~6zncm? z5eCqf%n#y(5wE;Hy!vSc>+0bum-NO9rGatmnjfa(E`#331PZ(#+4G{%@Jes|z*I@i z4@>gZ(|hEuc=bm|@`fd&&1DiV{^All)BIv>v1(rZoEcyq9k ztLN`zE!}E)fh~Sn^Z=jXR3)d~B`I-fV+*cQD~ne@x|2m?q9CHj6s~oo%ud<9kTgJ& zs*wp`X4R6nFkW`+?8w3U4p-uqY0H93*6Ew%aD_nln82GG!CAYLix0*`jMw;=Eup8* z8wqW5BIr1iIrcE*tQE^@FDyFt6F3y3=W^ z@f`h&P4u|(^(nOEQ%T=vu7PQ-qXAyE2{pZj@-3@vh$%n&Er6ycws#Aj=ydgw8Q+Vc@dX;wGMah2Pi= z!NB$s{fg#p%;@<*u*mr@zqfwS?5tn?HLI@cX46Ll z@_Dw!CQ7wh94@-XP>Or@L(tTS^w<;33AA-mmkb=NkR^k@GVBxGm!B42{GJ(sp`vL? z^7e}J7$kpN#)R ztKAdGVw*|8kHMnwoRkjVnBL5rbDLLUT(3|4I~KuKLOS!)tA$bRyR6zPy#IZp0A%*F zP5ImkoP+?ukoDPy#@#v168r43$=ZEpiRU=MB-Z(DO^+yU@$K|`?qOkwiCT)!Vpo#< z@I7}ThZ|?kCrYs31rj+hajHR`i0BsW61J>di>WXq0sy5xyvaV`Ag}3KX7LTuVY(xE zj6YWr?R8{%#(ULta!|rC@vN!wNp|uT;~-%>)Tcf-tVKj(hd}4_n80kg-|=<`GByPU zIt028eS`m5?NSbj(wmRV#ne~5v&DfMUj0$={oN$7+j%5AgVMfGjhS%~H=tGMD z9>@BgiPTM|M>$a;X)l$LccQ>0+CLsyslZ1Fmi!QrP#x(lQ0N2&d7qPu^aiL>y}!u}6z4~CaKRq;f&PM*m= zN;qPk7)9&!PC8O2iZ5!14)0Y7NG`Q20YsMZcqk6bYH5tw)Bw zmNsn$1=fokc};N_S`XW4wksNJQjwv>xkV> zgE4uEH}l%H2UxOBpV$#Xxzg2HwS+ndR$h57B}n2l5pFcJIgpC6!%OHS4yE3vdw4k8 z4|Pu0q|5e>J@v=Inbs%Lb-i55qM}K9x||&G(1L{j#6kh*CTN@bVncJFxGXOl5G&hn z6ZL-(*iha7w?6nFKNc-?4Px4~IsFp(oB7b-+tiJK+YlGIeLe%XF>r*BfNWy!2adkC z-7Bc5T(BLw=D0h{?o0G%0%r$vP%SL4n=}RiEH$y~mb_yWQ^OJ1YvL;qVWVi}83W%E z7T^($MFJYw4C#nmw_No#R_25PXW1cJHCb+d%bqsKO&(JVJW#`C?bH>N0X7R}SzfXy zC;WA9^R#QJh3)92R+J2Mx(7{5((u{c9dBZ-)@NgW2E74-T# z$&Q92YMY&kJDz2Pp|b0b*7w|!+KjGX*>XvbtMroC0^JI*hdPbm8u2-GU-21>`H1Yc zsKm<;!e-o8##HUy1t1%?`W06=-b0$4LIkAFdoDU2*$%0esJcJzd1wvL8Z`iwQC zJ7SBuhvMI|Tl#fY#0Cxi;NkRCj*MJY`B}8vRzBZ z_D)a^;zvXx3QE)_ajhw+l%8i4n9h@rA)9b&oD4e z{-D4M>w;(oILGfK50LwaipQBKdXRzG!W1H;(Y+%32pM|pUd+Yhf>3dxL8P=e(SDdOgqaCU(wzg1|E37M-<8(mmu~_74J2a7?ZlCL}u`x6qQ;_#P&gD7?y8M{V%=50c zF=P;9X7jLMELPLbN$93^V(}swvv6lkKBGVjh?=hJJ+94uh(>tgx?6L;+ps9sqV=7Is<0l5%-$9yFBb^n zdP#_f9nn%Fhi}KaikAe7IWzM(moBrcF)4zhx9&I#HTElarfwGfP+?by7F3X7p7Gp+ zR3CVgp!2Z)h{jAQNjzYV&{;d|lb@K55f)n%bvf&Hoj`)jDwn(*sCdI6NeO1vBgiH4 zsKuLoPGUW{D_rcI^L@pO=47C($C1zAXFjwIF!h*s_D7Atr)5=LtlzdD_x=<;RW^>e z(`u{HWta>6;<&?-Hp+53tscrUh(bbD5}S=r;XA4&^V;}~PUQ_B!q-=qS2U;UW9y4} zZ|L-Qp8|&``yTqeqR02?UcBNbXC6+@85I#&OgrpQ(~Rp50vy770L392Hxizgv$`Rc z6Ko}4la?OkR$^ZHVnxOp4>6Gn6MsP}FkEw<0h{?cqV)o`=&*#wLvM zm+LONq&x49r%$$@tBo`DDjCV(kR=({@fBQeTWln_M%wX|(rB>yO*^Ow#U5?vy6VC7 zc&&yFF7M4Y&Wk0JaPk0~R*uMBBD(iXU&T$$z)n8nUSPXyjQ4zY9L|mf!Ot4$aeIU9 z4V~&bJ?{#=`99-?6N1srf&@e2I5aW=*b`=3USnUlP{{i5U+oyqb~*<6Fa+*~n0xxs z6-FLC6~RHo03M)3Gg)3bqrjtSs!%-R(e&PPnDB2U+oF7!~6a&Mb+os2Z18<#Yg zG0V}cD>jV&dQM<6#m6{iX+Yvzv1G+_K9YIX?;}`CjFtSzX$#otiUWDMHAzN^iA+-K z8(%lrC&&7Txg^4niy%H6LVu9o2ZtFbRK!6b9&UGJNYGuehh2QjSeBPgOE71&WcbQ? znPqKPoZ9Ya$x8xun^Sf;;F}lD%lzd_{6%;KVxH{PS+B$VEV7r*v3d2&J9;EfD1-t= z+h(W-W_3x#!+8l_I=cJ>gc##E{SKNT&i#z}Ik*qhFRy;z?e`tM^|Q$kzpIAj@lYZMiv2qFg^Z>nGYhbemUP8y|zJC*sA|1LYzwS&P`Oi^@T%xk7u zAfC^W>3N6So=cpyMP{f<2Ms!vs+&{NLn>rGRdD+^nGO0H(>M=H8ps51@(@Jba6;*c z&lPu;4qG|Jys68*GhEOL!AV){npoOr1D;XdH79YhPt9Kq009^(MA1dn~~Q6&Zp&&W|ROC%KE7RzJe?_KZBwx| zWvjETfyB0{#*du6r0!rwiAm8iSA6Bm^5*ltQVKhEQi&;Uc%^$$?fxv!^FyU%F{#w7 zVY&*c%Dhs`msUys+zu6^X~k|;(yqGzT|lD0Y@vQU_G;2V*s@jDmxOiS=o*#%p)U`e zX(&&xcm}viiAzTPm!l}cD>ZeeomaiiISu_u{faXbD@DChdzR)?Cw5Ijg2xpuTiI9X zxunzn;am|z?Xr%1JcuM7tGuM%QV3Mvig$jJn-ChgsI6Pc2~Q7tDvIbQ4I zUFdL|u(I3ilNU#U;+IK5mEAs4QjB@#7zfydS%!Mz_jeY;hL8fE8VF^;T<5O1UrAYlnv-CR)WP*VPW^WxXw0 zI*n?y26J_pi7kU=vO_@YW~4Qv?`x3gvo;Abd1Ju(8EngYI}^&Kv8)b`lICnbizn5KTLMjL~jC}G>lv?Va2vD zmUP}UhNy|rcBn%3n}z=xuqB9~{c;v?F{GF|Y~FTiV(Bu4s9u zPcK(e6KTJI)zI#;`+RVX&?xL(O)-KLS2>PkNF%Q>T)EtpM-vLF$D=8PZ6@$BABr}U zdguycG0h9eTAT+ceQ}${6gs`gAPNjJvwxM{W&^IncQWO=l5qHrXQCx>u55{;OvW$x z@`}-_`_a0$m*-Lk9(x*0A|6M}g3fYu-O(!wS63S|ncZjR0r{@R;e}e9>NMKBwL}yL z+E)!W=M7dz7u(gE;4SN!eEKTx!q+;~kLiQ^LemLSTb8ATCSvK-l1gJ-TgM&UxmH}9 zp0ANiuzOFt7ZcE;0wo4$@(rDP2>*aD%(6(#HZtr!FIuc7aFc5zS>Wn_zJoP(u@ya9 z*lwyjOiRbY?1h4ZM%c>(>B}Esd|`{eySZ}Jjx606~WK; z1s|5se8J0L@`O+FRmW#Ydw4hw0*yQU_rLbR2b%0#9imK#)`dUfraa&0auFr@=AGp^ z@BcUX&cLidQFV$f%+NMFFjS|a54O69ObRP93(Ho;9w)~mLj^zD)qcj>Ghhhi+;WF1b?UC#SL0^Vv`J2#wlYNWj8w8=J`g30Z~ z&&LyQSwXsUoou_6SQWY`@ZuofIvy|5^Q~pFdujamlHfiiz2GzgQX|vKGjRENZKh5U*R^NjnS`VKxg5x~3Hn>;mv)9N=D9V7erf=tf#Q4+w5I_A zO*|fnwqp`Z$(6aHtM~D%(uO{EP^%FXrRu|wg@i(*WrV8Mc)>pEbBvVttxaC#%`)4) z`f;wIRQ59ws`RAIH8@h^xkXSzU;Z_JiZa>ANNjj4$^AvO6`BWvWOIh_h3+;;7SklJHb@n(C{dU-RT z2PF|pE=b&FD@LK1HJQH)2Rfgw>e(20!a={7N#tTs-(ifYIbI5%m-@~_EgI8B1Gy7p zv#N@+6|nvJpH~HRpRX?jBuK4bA;%PxOC2xSyhUndu`P@PF;!Z_$-r(*80q!Avo3B0 zEANN`b-xeQe?5rWP+d^h*oav_G{d8_V;oeq z%Zr29Ll?t)eGXr&43jElMt;ak=)C$7+QMDD$qQ;HU@{>!ooP%5Vmt(JEU)YPi%zV& z(|jxj&=2PUpWW4rx4RJaJ9WSSxy{-?@yz0?c*tf#e(&LZYWEoZq?{RM;e=VESq?-G zlLh&b7HdW%YaZrch-Dv( zYCwD4@PScEE;JfmU^}ePWYUTUfUeRO_|{-CM5G(kg`mF%B=8iAM0D#pJs*P3d%pvT z%!Yl6P0WrN^&WXcP`N1+59z7VO97Kn=$_E((_;rinqf33Ryp_@2R$UYUJNZNZSi}K zluFF#ZSyc64!MKxm6IQc78Nr*TOPjq0K%a_B6?5EfNK^==1(^$B^?emrh_5Xg0v8g z-M+VjK#Q2D>&P*%hx73bCEVRLk=5dDf9B9&vUG=K$I*&R5lI|u{l8!P4Iw@Ec*>r8 zgOlo+8-!Eb;o!#g>}P3ofvD{HjBXw=wByADQ5kh2X6RTvcOF9<wfi`^=?^zOcr2cb!vWFElBQ?zv!tS_|Gu%Koqu=Z{v8TDcasMq0 zDQ^)jE?PArRuht$kk7$$XNqp^`8V!@VoWYmq(osF&54a5+oPC!_-Hq}@kqyII+xYf z@skL%BAizLw+Yx+@PJ#LFmqR!DBODJ&Tv*+&lc3!e6S3MtI5{tAM|X$e^I%$mu12G zJPi^z(3)AL_tFhhfAr+8)v%v6&tVO52W<28NT1o}<%Dkw{Qn;MNq(qT^!!_qvNxwZ zFKa(rU!@sIHd4OPy_s5HO6WxXP5PmrNANL%v6SnzG}@1D+z&_Mv9q>~a@CfCA}E>A z9?2w_^LnDvQ({T=LS@Oszw~H)Q#Yn1`>q5Z+M=MW6jr3~Nc5rg&%g1(2l;7N5%^kC zn;5LmjJJvF^^SKJJ8X2FbDQ5ouX7GvTNXri-0vJoK}tX2Ca2m-v!gz#Zm^b{4*C*_ zI_SjVO&WaYEN)zv|1RX;Adydk@e>cfyWvd`e#q7DeQ2l@4QV8F1D6`9)X?9jG~^R6 z`p}7Pd?A7ImbB6Y8b#hs6tj@;O9c?}ZhZWk+(grZX*9f>zM5Y;k&@63+=qNUpl`)>C`h47gm;p9Ot``lI88H(@06#`VVXIv!@a$-hA= z69%7$%xh~};rQN7n&|8&?Hk|YztV~DCQ9TFl_}cC9I=T^a7@luzx8Wu?E}hZ&?n$E*6vAkxR%UHyImOZ!An7ibufpVPF1#^WhgYMhhA_u}ALy31C{azS`(vx0z zwwriC|HjcLSQC9e>l5DI8eX^0q4eCuW*a*huLU*%>&TxlqpuVL{ls0fXXRb&zGD#~ z5vJG)mGTZ&v~UYBP7|_`W4r6K07q zBru}XImWS|z%CE1Ny)x5V4)cIgrQPnOGUMqv0)^xaT=6J(VP!EWhRMUjohGSm^&MpH$fgF;$9j;k%5H$~4ILAeP44c^N&0=JUR1g+3W<0LF5X*{v{}cFOa# zDnsC=Q&?={lRXNKZ%dDC-Um_0!$Y6p{>>6Gw%A`i+DlC8JD0@n({$)RGF zlP$vKB$<)zSx+a4M>|)QQ;vSU-M;fwm+ZF{r{GpVzxv(P#oR25TVlvhdW_R=$~NY` z3okjcv*42tJH^0GK2lC=WwRFd?_sya0Sr#OgFn^;)IW15;}5MEM(S|iuc=e(g5l5- z+`D$}=@5LT?{!0eV>*dvWs7ybff**A66+?ruSD`rMhVkpbNH6`Dlm_6R#z>JK__;6 z$7PJRlUht?-aX_6a~invjfejaoq+ianR;!N5#Z{U0c{M~X3faqg~>5155(tc^($Y# zOdQ^jNZ#8MZ2yWG#TYs6GQ1hzMb5Tk07W66dr~LG=kf4)By1#bdg165NR_SRc}Kom zIMNV_WQ`;l!U$(jcFSI7MuHL%Pw5PC@hZDb-I(8cdGRlMCbZqF&ze;ynO-*Z?~i?n zZYTT5WqioDZJ*ast2I5poBGwyUVYZGU_?M{bSvd=L5gzT0^)2?@W6wyS!MHL#1ITw zEU<#y6kxz^L_{d;avLj@pz}XK<%w)|aAOqJlPaVWtXmC8pX=H(-9sZGOr&xnYim z$xI>mz=8socVI^Foyu3AF#`!t*kvxSmx*E-q=G|`C`~`K{>^Vf0aw49>3d|E5fh5x ziQlz*Po6F2v(@|3v?~U8iAmqz6d{k%|Z*j_3v(|Whg`z4RoHpy0@|1Pt zO>9LFBH12n5iHj8V=y`fWH;+VuHCEkAt$iSw36pqw~_}G`&mKgD+zQs=G``DI`1j@ z*kWQ9o;ebyIeOB+u$PB>?j3Tl^Jri|twmj-BA!bl0YJA*p2)_p>h_)&o7@=W?oT2% zv1uD8INnWk&BJwB&Z-2w14Q>~`+?9HT$jw0fR1KP2=ndOF=}^%2~XU^mA%ceCtVc@ zmKYtk2v3TMZ}o48;=fkq-CaJTjlDy?vT#u5Yv|Q>(MW*M<34)nq`?Vf0-}8K%Z>!< ze?0h%QXHD?TTNDOrmNyY<}>P{E{!(BjD0*)ps2w5+O#m}81!lF@}hdsyb@Wdw{NG1 ze3EeDfGJQ7UH1AOyOd5-)i83Iyy>a(i%G*GYx52DB5^X}4KZ$XrpOQ^hS&0OkIj-K z{7tUvQ{ENjMTxf({lN3>!F@^E*I8K@VARLH0Yf7IIa>XuMd-pE7yU^Ed+CfuBT zU(%D~tj(*3nneAG&Z(xE$w1(kQrU-XZYgyx9y6vi>ZiEvzSAU^p zBA(hoYRLvD;fnc15nlqon3x+|03XokP0RdY?#)7SANxv4a`O6tHJ-nDd(2+_tk#kX z2{RIck(_i9b|neC$;=i*<{8UUPjFQdM2#R|zlDRm%pdIb)u&A>j>9atpkR$WTuJBa zTRDB~2vUqCF{Qh>As~+{XPVIUsRj)GCYbBJgiw<3m#%i-lfwulPm(=JsjgoA94mP# zR6`!lI>J0+7^i1(6Rvqv#vA;aZv%3jhEj{T9~+MzSc=}NSHu^fcHMGdexb*K8GfeCh(H137O9GiYWY5qU<-sV@9?Ya+p z`bJ8FAekGkpg_KRAil${@2U$Z2r`Ic1ObAKGE8-Kb$8va?rK(bopbw)gh+!RG~p01 zVkwY8Gm1W_m`)f41{F&V;`81h$X^h65WwK0WFUYC0RjY>3P*Ng50&I;_&1j3bbVset6vJI0` zp}mh#sbD~5EwPWDZp!^78r(g;Xj;2sN2;w>D4lLdbzl1o>h-acWM}#TGmc$?AM`z* zkr1@vVU+um6N?y|{cqXas=BwM6UdFEq4lE6$c@yAK?N>wWG=CdoF?kQn93ETUBWRF zwRpu)rZY6bs+tOoCx>flO`IeuM!T7Za?u8SlL`~oz}$+HC2l3RQ$Wd zdd#ZZuf+lQa@Jut8&QOmlx+!+FxIPkwZ{E?+wa3GjidicW z&Gv!3i-+>%Zo>^h8|QHogkqX4%gYWRW}Qp}qH0*f%hS*%8AxmizTEKr_j6p&wPJ}xqTGG zW70(P9)umpk8L;o$A9dkzKt92rouK`S@N7HNxU?r>#8J4=1K4il8~OBhXlPV;*bd# z2aE2o1ol%?;P`$ag%m>oRCktwKAP3=JE81|p1|K{l@Q!K5#W+y;Ff?`1-Oj-zx8_} zRm3iiL=h4N5iMUhvF&JDOls;uAcLFrkOXATKvP2-hfb2(i92bkAlDMj8`<8S!X@%& zykHVHPMBsWM&gMWDjktG=RUOE_&#J^&;=KXIJ~IOf=mhS!n4tX7b$4tc(E=fMdZFO zg-a#mh1wEkPHYCIwr`Q@9yi;>yN~ck;@+o&#Q)g92n(bbJ<@T5Wq4@6bXCI@4rht5 z$eZj@*2%8JxzO6X28uYwWU+Lh>yuTaYjNgOfwK^<b zh1i>$Qj(vDl=R(FG{ojAr5s{$>cDxf^w(bC^a%z|R0J13zN zrYABs`Y`kf9<1t0PUx9>ZLb9%NU*bP9=K5L2$5h@pWVy8WDoK@X9GpMm*+v(ro4%2 zX88_fn7Wb{w8Tk|wVU23c`xUYmV6SnxM|5a_XVrT3UEgf%Yt~i?UzJAccVxJo@_zD zA+SqFP(hQ_9+J)*5IR}W)YbEE{p0T*h^5;r=C}?HAIa#q@StX?Q101=yUuBMXK{Uc z#np3X{S#c`1oUq1tEY}pgO|GT+4B^+MPZ4trwe+8h6%JzstoAioa%-TYtUEs>QLuf zUNnmEE=9P8yu^K%jKK2ZQARZ5`}oAJ_Zjht3Es_nlu)O~FNpJvxMUO;J0u;bp^d-A z_5IMwuB9?w9m~_HU3Sf8YkviLfO_`f_=ILLqYB@P#?GY_ZC3pla8725M zmXglfR-zl%)$R2r^|TrPr(t8=rd zA2g5_BAU{O2(AD3qsf!Wp%ee;k)NhN&YV!8G8M{>7>@Pc5klArOU1x@5iC55k2wVL z=dLG#ynG46{m$H%MY`(;d{|24p`UmwTY7CAHQeZ-US(^#$h%$~S=61>rAs)4oo)L- zs53s#sVHxeVB?GWh*a}b+rC^$%yR3m{`3HxqCq#=vZw?+huHDhp{shMj?vR;iVhTa zGu4%4<0EqcRQuYlj`+HfMY0G&lXv2Gta*cZ-h74o%-c+MN0Vj1nF}>Xe4WG79MG{f zi*XHhB}3|6WymUdyz}C?FGIkDVoe{sls<*_Im_T{hUCQz-on3Zh2O*D%j3wV7_t>B zn+Lj*yRDpuCa)v{Z76f%-Tg&nc*)Q+=KL`tIRiRLDnm?%=zgXR$ePH-R4hYkM?9TF}C_pbS`Ky%{1si~}g z@2C7H8e+ z>gbS1-ZN=c3Tahinm7=@zFtD?_Wy(;E436us5#g@sPW={!Q`GN-eTfbCoX2gKWYEn zVqyJXSaH*b*~wG2?ltljYd-dmu_r+T<`4R5{GQfo2KkT|P<53ny)i7TK4mnH|QoxUeKCy|2|^O_(aC^{jQ-ZuzLN64XKkASFJ1 zpE1ClN37*eLaJqlXy%D)t;w^I7d?rONzR`mVqFRnZAe2Wk<6Ufw~oc(ylHB*c1X+j zT3+19Y>17Y4gw?_6X%B&-MFZ2&eMmOj}eaHlyw)#bn^ z(tLM^6F0)O?5lRNLLJC3L+4cbZwwfLSf?)07^b;M!o^(a3KBh%x^N%xE&zmSBMGB; zmXkDaCZ`+uQXaQLMkmj~ecd#k=L|8Om@`=M5k_`EnI7+M-w9nQUU-Zr!%c;FK<6W$ z=!n~b+nCTE6|IE>o_6@0Xr-BLK0xh~_;p+momm1WjKYPFoid1VGFC;o7AGP5?YSzQ z{FE;j@kItNOai_R;hbAo(5pyaR1U@1Srac9$*kIs$xiRER7 znu;#=mQ}k?X+fFi^*t|)#X}=lSWt3_3UJ9!2<&kh7FzJMHXi+)RqgX{)j|YP)88TGP9Xb;6;0feQpqE}8w}uzoi%aYN%x~< z5AqBBS?DX?$(OSE&?CaP(y8-QB)>)Kew13m$)kRQB_hPQ6U1?R&uf1#3F2ipg z==zZps86t{SN8He{FWVM%@U8-+V2V|6`Vku=ReAy|AJ4MNG|F2>(x=m`V%2{r?4-!0MTS5rjUg_E6k-O1k7c}8$(FPcc&Gw42J$2!|= zM<%20M2exJEjI^xA9$Cv2-|YEFHS=Gw3pzHiv(8D?#j=;Rcx^)D7N|Zdrz7D{JUB8 z>G$Maq_1IoDS7$)M}#`FyYr?a6W5d^z*=^>R&$~>+noW@Ysxn}q4l~P*$c9Q4Vfu6N?=$LKwvJqI6VJu#VL#p=+keNly4&1R#;V6 z!ri%W@o0JK_A9=7UHoXZCHYU;1^c4KcrLTuj)q9nofp&$SKaQ-d&t^lEq*y-I%dxK z)9+RL?8$!UXxbcR<0Z!ay30-!dCabUvv#;I>Hs~JXUy#S({E*y;laIh4t+i^(!IcY zw`NOkx}pY&S77S1Uh$F(fs@sDv9iWG&Y;y#*%|i)4D&;Gdj8#R{;TyL{sIpwjEA1} z>Q&IHD}nG7Ll>~>oXn%pCMw!iB+T8|Rp|P79={Z9t;)tPvKa?4j(B9gVGPnRkg9$> z(8Mj)rgoRn`-{0;=HlcLUvyeHO?l#)zN{Y$JEwy(v6FL5LWLk>PO|(-kSg5=PGiRD zS45My^QPV(PvT$}IuUaTL<2(wdEp&esH_D`fvL7H%}vbfztF->Q)~=^xVG<5Wr0PIlu~-*{D5Fa>7K23Hjv*$mK}6c|96V(xOuWRg$M6XNvJrD9vRTuQe2^C*r< zyb4MqPqK#h#S<>4(^6;OE3ws@_Z4!%N$&W?Qt5e#(@BV26wmrmkfNB)lcqANfiK_F ze9|TT52PP6ZV{xA4y>Gz!H1S8d9zMchLEPfd3S1xhnk^zTbz8f_j)oC((SpjkB!Zn ze7mA2WX>QEI+KZ$ndiP^itnieK|d8}ej&&^b3TxJ2$>W5ROBSXBm5LpYr%i*vr2jO zAyYgr`lJcVBc>j*qIYCSG?)n$Dh_mK7&5bi2zFH1f_z8g&q=bm(ok6nYpB1w!^rJC z|MFC?R>p$rs#_9jszb!%|EXM+?d9LL&PxvA-XNpVuJ47+OPG;jK8$3^(XX3&MR;QA zWtwquabX@4!=kZkrkb|^xqKkQ5)J3LpUE(; zXfe#G9j_F1t<`E`qhO@JlIv}Cw$U<>4&B+7(gaf+E-YL2JOTg6;Ir(fsPM5dlOVr8 z7Dd%(8NWEtBYY{=K=I#`RohRk9_~*X)otkWpRa0uAk-k2*dy+vh5E;(eP0|f*T)_- zf171apbps}7Br2#w0+LLGn<+D(@AkvVo49lP=*PB+VkycscaL)N}hX25ywK%p9g(+ znoPp^m(nGQ0$nkT!VTWF`%NDaCVM>LIOwVFdb){WRESKl?V6Fl`{LV8QLopwak`6f$ z>N&~GP6fkxW@Kiz*n`H|ig~&!oUXMm3C`{;S`SHPToNq-6_#L5(xK>_R*(fO=}{jw z{Gl{K)92zo4J_J~os3R9q6DZ{1$h>!vh!(nPup-^Uoj$Vrg5gZj6|Rt(KA@94?L{LmT+8S-&XkVV0O ze^K(J)$}jAPf^j>Nm0=QownLcP2m#KhIO!0uECcDdci~>=ZBwKsl+ZRDGzqW?8xnS zCT~fvbenE>tNrZhtrr&F)8*~!4{;56M@l((SAXg>rJF_HV3iA z4c!f#Lab1E@vcQNh)E}6P#4nFxC^nH5t*wHPZg!!dud?|PkGTq6z6in?h?{fVI#~Q z>ACo>nKy_WuQ3ymoX-hCib9&z+Kkr2&C4@cLqDNZ6J2HyIBhPU%NCwR>I_#|dEOMO z(th05_Kr^)r@BV|e0w>iZ%cNk%}=?MIlO%LBh6|~ULre_5-!K(w!EH0n)1jkj5%Zd z!=DpaY%T;SDWem&x^54SrWh|r+^X$-*+h#)L;4=akLfkNz?K(V2LG1c12aLM{p)_Zk8<3ziYmoilNyIX@9dtcm)B2_HtSr5xrDWGuvNZo8+B z5UuT7NxE2QVh_6)L%SGKRdsnLo~|^~->w7tM#3?yUfb)b;9p4XNqDBU&*(_pVPOEW_b?J7IY5`@C@N>Gij-=_*2{^M&3Z;Siq!)!~+}t%S!V`gNP3 zL!Q_lkrD0rm`kEY4*l^^K0TEZigv3m$Pmk8vsDs)z_2Ele7x-T$E_X3p-C8E?_kWR zwSqpc;J=vX=Y7!;n(n313GO5Ipl3qq7+|!&-A*sUk`)DMmz~;$Ns_Nr<|3XXC`!M1w9A+x7One|{o^B@fanA6(jxYtQ=Wjo?_Tl+EB=EkO zItcFlAf~=gdnGQbS)OkN(e8!R5$U)i>rF>HZn?^;O?|sdLTvnuKH>a>uAG%8!lMXz z*X8hpsDvLmk!8Y@=!1VSxU%E&DwY_%*<7ZLrfEZqw`hT#E|yq|`BidvCfc_KP>MqR#mcJ^(rFId zTlh#+in|=Pl#IrQiwyoW11^|*g2Cg?jz(PVkE63XudiSwZsO z`tjC|GfnGT|Gs#PkVBce1DB+buj@<7mho13*T`|dRs7UL@fQ2DFgQHmsv#&zSaDrO zlS%5kPJcgTYWtNaEB2iurv?pF^hdtP6vrb_eZeONn?aoTpBHi;#EX;0J$XkJCUT;( zG6$(4?w~HMy8|wReHI(tCYWleKjx-IrnO%yx5oR5>Jxi(B!40Cf7BD4K5B^ltf9$x5{O6-cTT~1JqNXR%Fe(FD6W|Ru@*_ z?2LZQhz|Ry7UWDjV-cLS2CRPm=QN8G`raZ4EL>v9cfW4VtIOoizul5(!Sfm2kB0yD zUZCKIhRat@5XNB;T8s%@iSv%Vp`{nIZs*7+L8B+6`@=!N`vX2T^D%VY6sxA(@!5|T z3dhf_X#K)Z|Aa6(FJUuXhHt!zlRM`IDrSmbu&arCv|PS% z7d1$j;wB^T*)|`~tpQweAt06U;?5ZXEhB;L481$@h#XpR(wd4R8s=Qw2>BV_C-$rK z5}Px|ckZ3@hPy3oKQGj3gu#sO-GuO*sMmnm84K=bNCeW3b{G;Oy&!0WE%okQ*M61w zb8OB~L z7ViX}yur6vI9r23P%~=ICdWOorhFR>=YLJHV#iY~XSMuspWD%M80r>DedtE6K}9&% zG<@W;0&8e2qyXIsvG-q09gL&GUr5=@df6(I;9p4bS#=~y0;a*ATkrqk&s@1w4cJao zf2t2eC+ZzpT~T_l_Xt>^oVE-P4~VrSctrtkF{u+q(0s^GBk6Fc5s}UpT6JP7MFxL} zNY4qBoU*ATa7o3vDa6GLV;0~cFCzXx;E-xWUx&t&OqVh+IS@dR1=I=XFe_}PRV!gB zA}tggqtqY?5v9Nqyl;$&o<%%X#lR%sNDKyL!h~*~F`fE~7NweT5d!xQ56`0lM$b>Pe!vYX=&IJ0W)H%REQcS>b%NGVu&-eQTI)M!1M70Re|1Q zKCNKRBOhMosfhl-_Vb!4sa$M01w({evK94ID89Iz@eWNVR^o8;+J*uoenFo@m`J?W zBEduw^PMN)MMv6u>ywRhc}#<=Y9#Jwo^DL zhntkAzOw{Fiuit-op_;~%{B3pBXCm0W?;VI&Ms!WO2Yp%g-dasKr11g=URX3c8Hk) z>Et_8+neqCA6xUa+38VyYhutGhB>1V>U_wD51W@EsETw{Ir0`R#5br`ERMaRi^OS| zicccbqql|#t2c$>hKY;sf*DkKi9+8Eu{b0H7S04D-fpuVZHx;ED+K>hewxsAL!x?V zuEeRcojQ+ar97iaLG-xBs03QE*b52nRp%$DPy~@!mAG>YB=cs-5-}I&uqh=?2(HFF zvp6rTs*^&WnQ`(oi;LYM!laKiOM2N~nj;Y3W<_^r+-~GYSWL`;^4b1Au0X=Y>%IrX z_RXzDvc=&dB@Ec1ez3hEUTRGrzez#9xKu}?@P-^4t}bRtZ;TA*q|_~z^tdX-G1nQ> zW2WZiAt&?mskD~_L#WL7)6?Gb1R0)`=?PkcPLXGH%Qmryj$v@_yT|8 zF1aB|QU499EmRwthI07LQ;~0Z34O?RKf`$!#AP1cK9s$B|WD7 z#yPJ4!R28^2w<}&^W!dgo>_Vg0_eez#j^GpYtIYwV3zIEh=YA0A?x@(D9XK zf8?1z&qkNhu3|)hkNT~QtI|cHE;p!G7_&GUtW29GuGFw@jg+HCq^;L>qj zejmJOni+|kL~i2FX+SM58>;=guIi>-L9r88D*AQN2Q1?jJWoy&d5ass|H^v?v@C{# zZ5#r&FfJ%N&}^v3%n8d;Nk;om{V#g?q=zlE9ZdXBzfssvtL%+kuds!G_HA;&Wte_j z%r!;C^1={Gg3f8|FSr`lOjg+CMtu^O#V)f~v|v_mIHMzm$B0^lvDhKa8z?oHxmZf% z>Yxvmw~(pt5_vO+B1@NuvyCf#SIIeY5dHH_M%1w-YA^FNj>Et}B+{02C_nuM1l#o3 zeJF7~CNB=5#Eu;rg{siUXA!CEy_%J}l2Lx=jLixBNFgIhU2=M;--s>AIive=!+WZi zMb14e@MD4KjIk(jr_C_4o9uy;@*!&^fG72IZ3Ol&V^Qv^^0RLjSo)v+Ba+M<=paY* z$i%22p19dpbWEr}{YLr5Vf^NSdxRH2ee)dghC+>N`z!Wm|EM@X+ZsP%jaFrCuRF4* zp#7q8g^_siC*1zaH4c}~p@Tfeq}&tV(PJDAo&CAdb0=Vca`A*7d*kdgbaKm^5$#_XyW!`QMRqVw_}#91z~6)z8S^D48X#Qd6TX9qPst~&?NHRyfS;b zgyHr@`YrrWny}MRN+gwu9Kr5kjh+bJP>_V31b8K}xURbPJa~I7By=yh=cR{1LrwPd zRL-kFPpPiqUcAy8h&OyN=1-jHp4Qy9Ys6zn*w^Xt%_}bHN?)#uI@U*nEGqf;2^Q?5 zKq{8K-v!A^-Zjv|?=_t*e6zk6RwDK(VMCVXh6^m~NoIF)C#kNRH}Ptkj8RI>~!?4pSRfK>C7vxdyTxD-s?P zE@N3A+xK86D8}w6Vy=wEbEqjFod~7dwG& zN#P)EkxFg8MCwe%;Y6iJ!hP^1 zht5J!y9hBt{FkiZGbf{M6dfvwJl@gn-7n$jd^sgABtb-wD9ZF-O6jI)(mr+GVQ@ zIAj39t)T1#tcUj6=_g09Orc1%IQ|bjlh1T*c(l#;&RH~9{m(?yzN<*&dpPk8R8~Ac zicZ`rJtrXp%c@w}^AhF)E97K!B`#Y~SfK_~#Lp?3t}5zP-AHhElL@>A<|NKyK7dgK z`Up3)SB!zZD0uRgtYLBdb4K ztm1+hrvqxGhSy9xTUG@cD4Z!*U#RmLxs4d0_==A?DzUE(iqA>iME596{T-^jp^kCm=UvwH zUmG^jyk6QH=yc1XP)xKhR=LYBP`{|JANhCXO;cG-nnony3_jpFJ36t{U72U`Ngzsi=ckkHig9a zu+s3juXTlx0>0udY`b^DMR`(6GVDTKi8+=x+#^4c$fnjwXHOQX#W?!xq0TTdt!D8o^_+T$0K5B421+wYeb|`u65Xd}Pp0>n};MCj}*@JOi zDX4d1^Q-b2N)uy9FdbJ=t?BbeuVsHRlO`_|$FAK{1*m1imWQs(-a#I$IXY~YMEG^0 zfm4xEBz9lbVD(9i{pn;3VYNL)E7ronW-^6~PCk6vpr@7@}qp7RP zRs}XMWR}oTUqX?JVYkFKRDZl=b@}u$l@Zb`yg&27Wh-2S`!h7>^*iT^6POol3Xm6^ z4Fhy-L9UKD$)@`!JG(6XbZ=j zkP+qoUiE`G7h%S%x&tkIUO35}(#o=;(-dA_-Ef+p5GZ^{j~yf#nA5Nh}Vovuzg{mDKC2l+f-ik+lQA@%Vft5beu)znt~}#{W{5{>VVWf`sogL3}WF_66phTeps0x+wyp| z%ZCHVfC^x!g|eGv5_H9vn|bG4?MmK-2ysggquB{}J3;km=oEX^EpvsyP3LkFf_2eM z(Uv3@*cJx;^QLM-bb)zpVsbg+c`Q#u7;;W#43Rna`|h}$$Ro;=%Hfl+DmBt0kGxVj zJFM#ijR2L{>t?ehy_De72ZYC_tpEh?-JqdW%|-ktKd&BSxHJ+8O?<-Ju32Yvl7VV; z(6GJHi$I=ptbUgkV-0qJQ%6fc39S=~D{iyS1dbi5!KpO&Lb^H9^&6KN+^@+0UfUb| z!3rS}->+%CjfA{ifJ+FVNPp*3y{SsW$t~&@`lq_MCbM8 zSU?(vfxhMBN_hVETP~wbeRz8Qw$R;_^78$VZ4NabPG;2})@U$aM==rQ>Wdj>BrTzH z(Av`P1iJnYC5T*qB2~3v_G-C;C;cMf&m#V;VJYiz3Fh<2rELI)9*wwfv=TGO| zFd(KJC~keo=0cojy8ZKaSPEY)aBLPU!rbYub6Mqn(yq9RFzDp@JF8mIC>1N}6E4}7 zFc^**AKQ$Vl}?LwzgV&AAAq(M^lUsyL;*JJao3w|2h+(hA2*a+KJ821-;7U&6ldUy z*4dIcTs2f2Xd8SUq4{Q?F)~h}FBqG^AkgXl?ODJ1(;s~#$XdN`Mh^?CE&(S(&oz8Q zFV2?h82S)H!#ejvh+X@a>?p-Qal}u){mZr&lNK;k&uYt%xVHJ0D*Q!mpBWd-80)8B zCfYFBF-a%Apw|Fqi#(3(>f`!Wb}3wIpxMcT$d_|wKLu(JJBV$iYhSK?z)y(?5W+ww zHTlWEQ>}U~lpFa~NWxFvjr?e}z`5Y0xXiuKJf;gw^{2UG*@Qb9?y*z7+h?F zJ1%evQdcajf4leAs`&UJ?=@5JA>J`8x~gK86ZcaO7Mx`_35G5&mLN&&WYKQ(JYABbly6Y%ey`~F10qtJx zOM>j~YT=LB)enx*i6l{ySaj@Q1e?8Uy5li(djB!`Jtc}`(xV;iaqZJL-z8&^N>igW zvFOEtO?v}{s;xIQ=H-qkq6HIp1SkGK|D^*b&i3dgaUmX|YMnS#Ivk=LkQ#-ct!ZSP z>cgrVv3f%%Oj9R-PM?UYE+3hlIJS1Bkldd~i7BB|od9=`(5IhsjJ#1`ExWS9a5M1~ z*B52-5|;>CFJVdPOzv5@w{5mWuIS5$G?MpuLRlIasNmGfANMHyux0@Gh$~FO8l+lC z%9t+D0Tc6~=G>kh&qNHG;uSMPz%|FjWEc)TtKAik#bG8i2+$zL<|ibU42Wy&DU9<2 zj)|{z0t%(+J@xaZ%lv{2y`i`Op{>MCCXf_Vgkq1HPYMW;I2PdKFeJn=JI+t6<BQ8 z*fPveL4Loa|8wz!t3SA|MZV3ZtWjUooDKu&mpF}lm$fHDHrE`@m)OBN2}}0eg_mM3 z$%D4*68bhKgLfu794X;KB3SchH%u3Vg(jc**SdlZWMRso!lv{kw1EUYF7whWlrPZ4 zp<=W%zQeVaPH`T8ZZn3`7m_n}n^7bGW?~IUTHQ_9!#;g*rMUt8^OVGO&lF2SxQHEWS z>V8T1jU?H*!wrdXQBn&G9IH#B^;%q)p!*VsjZv;N$huOOP|A@H)}cEP(~ov35v(OZ zuyJcm8T3kAdHxo;A>Ac8gw`MSM~A{rD6pEamzh(8fRc1eCFfipY0iPaU&OY2eC?B{ z_ny2Df{^q^R5)=-3rPD%uXK6!NS)43@$Hlza|dB?(0n%Aeq{6n|mOj*7m>EKTMWf`dE-KX&+ zQE(s8wGpZmQL@TH%XBAIOz%B)sM-~@=xz%rOve9~ysr@h>NIIUcn|THlI{^SD?wX< z$RxZ^Ch2^fMdIWr)*EaByvb|GIW~#=uumFdvZv^vza#Oi4FlvVrxvq4rr`?u@Ya5{ zzhf}+X)D-`XElqpR-YXAg;)8>y>s@bO8onsVEoPFZ{Fm$aQw~ZZ;T2*mik*X{uc1J z;Lh2WCkcEaGX3~#$X~F-jdYF_t6O`JzWinA~8fU8JTmK{WTsj`! z4sW>%SDARU3AsdG6%QJ$El;1V^GNr(PZ%l%bv>X{@zh&Q^33>hifqGK`DptR`HK_5 zO;Q(&ug{haMHynPf=b|E42<5>5iH7M>{A>tT3|FH z4)wbkDIvxVdUWF;(-@Zi%K35+nryC>6s+pX$9Ha74voa2N4RkP*;{&Q@^VSdU(^N&%$hxSFFCm+icHnnpW75 zGZ7Q~hA7w7+J=@ey+a8ZWX(yOio>BjR}T{3(iE$n^C^w|n_`t)CXKCqvC7`pr+e~k zD=`=uDMon*321GLoLU?mB~k&dL~Zx9W!R8&ZpDAk2+tX*Q6DZVEU85YA>7lg`bOFf z5eY^PdU+If(NkRugYPEOI8i}-xR4Iz4m09xiwioNkUGXp=_gbHQ{3fdVyS32{O3~A zve@EExEdtkLSZBY;(yN$olm97Aju6fTS?$z|KYNLV17=BN z+mWAY5azRb^yoj-Hs84T#FX)_1SxevmqslA<5obA>yvsX8?*7OnE^eesVo|=b$urt zpw$EmMV`NKt6C{(?KGcJtS!*NKk~*mI!_*B}ed8JO>g+iG8Gzf$h~UP9igtsOeJ~Y<%jJE-D4a*W zb(ZRn4{;D(P+yl9{JTx>7t5kr)oP1%T5{9?vT9(kv27uWVMwf?ss zlgXsbZNZ*6WVu2ZtqOa>IpT|lNGPG(#1!)cO}6BdSO23=BLe;>#d^Tn#P+exB-oYl zlDzyAe=Bf!qc0dHcbfeg6J9E0(CqVfPPE|3s|n;w0I=soG?GYwcI0H4Rt-ntsixbB zR4oyM4`x((P&c;c-#>7>U|^NlFg)5iKCx*mgY4&THz%>xB`RLbCbU*EKE7|9#1V^q z!Xx#!{7PqB=*AMfX&TNjds3me2{jqaX4bAE;y&Xbq;S+v$WkN{E6ePWw1p9+#smWO zh5C*4ZxJQ27^1!hwVGgW^@sD7W!&hvH zi72njmiCL1=!^=kzGTiSkTql`KT%QGP~XrRXrVZ4_WR6sU#n*b_8z{4GZK#>$m)4Z z{x5@i`4#R0Xh>7u>qPSVAypsuKf;?<>Jjms+pLW8ggDm1C4IR+ZpMlzf_JsJ@zqWBq z(3MjjWmiOoe{0L!vpKPY*BG8Y)cxgwc{I;yuJM`>M9x+_BJWOjd>KR+nd8JT*ow`7 zdm>tzJ-$bJpiS0YeOtEs+f)9FTWfGXL^1~3Co#=2+i*p6;&RFZ35C(5;eSvM$vRYUFluW#A3M9|q6yuaoy3^?%zkJ! z^jZcT`!HWs;r z6hm6*Mtv=V=zc+4VMH&0)A>LS2m!BpF)g(!6E3hV_xtiNBt;E}Hi@N>AQwkP!|c=G z%id5Jl63Q))&N;B(9I9U0D3C+x^QBzqqXp_{j3Sr!3?t39SLUzyc&lE)qc(_#{c)9 z6#OMW=T)JR5}1>XXo1uK%`-E@W2gvE(EGQzXpjw~p_2Kg(YTL2rXu}9NjcPeY;HyO z6+VQXGoV4($VR=`j@^3nZ6dRUG+7C{qsx%iPZ1Gqd zjM`bmSDD$_^B~C9xb;FgFUj=tL_f}A+Efj}G=r;Ag_m`m4$-`}1_*k~U<2kQaHR%5@%U41 zTtaGA#X+*~I!ugyCS6zBn+?yrgXI|(DK537i#e72w-h8jA^)#*kS2{9=KRhulT-+& zX*^*WDa%M*;gselmXWfIlx3tWBV`#W%Sc&9Dn=cak*d9npAs<{@e|8PS%zAt1U-|{ z1q-pzdi*5lPGlby?su#*E;W8qLm59sV%g#++De6DeWCV4eoDnyX>8^T!QtWUWg*Bq zu4he%3>lkVa3(@ig5DWIi_m|FT-up`1Ag&{{}0ArT0 zew%!}{Cg~Cnrl*rF#%=I+QvIICcOj@_Y;(H7X||PFTecDFaH($@_G%8ON&VA#m>&V zqtmXP#y9`@+S>ftuV#E4zCa3B{&MBBC;yS(`Q@aT$07A2(>$6aV=CN;!tpZ_1*Sf- zpruxSIhubCU#{r5P@fc@Auolg@78yZKh~_fne6djk?#C6D97p{7TSR*`9{H5eIGi! zKk4tdFZ{)o{$tksi#2l79Dm}K_!{=k4^7MRzepXJ_KV2>!0#+<*(QXm{aE(ze-TIj zCqA3pf4Q6IQD4A+{+#x`f1$s$ims`T*}Hb^AAdulhUNW5PGhQu?vE|R|BGC)R9pk| zpO<#fh9pP)&(|7n*n;t2>)-n+6AxF%_o9fF}kD+1wIq7m)U;oXrIKs^j(nlf4z`A)$R$k zdtORp+8zi;RbQD;2zQ{QpqJvrZrZ1ed%LQ9UzC{g+xk&V?_)l#XQ~}CNpoYQ`n1v= zT3(d)R$Tf1W*Moc!y*>YXd)vG`tRjIcy*p;TIjS$v^&j&!(TU&x~BX{k|x7n)o5g& zBo>+=+Vwx_O~PvBzm?dhEaE>4AzW&PBjuP?lchadwW()h2GXVK*?--esb_?FT9L5- zOEXNnZ!y;RUGh9lroE85{a@lFFm03m;<~*RTHYLtrCGku)l+R+1@+RE&BNp}-bz;~ z-C0VnZxt#`fR@X?auZGNkICgPlYA;ToC%KlzphgT!DP_bWkcCleHJWUN;==nuwl$6 zLfQ|pvA4_9*k=1^FS~Yo)ygosC`R09u7>gT&(3|Ag+5ArmwRs@`_-{NcFGKNr@s@d zlz^GpngQ_Y^E~lx-jjWjj$sdFYl!UV+DSr+4f%S_Un9+({B4!>qd{VyI4?VV)|HoK z@nidnEva6GZWzXQ+#kHb^VMAhm>p+z@HEclig$1A$P(9H3#S`LP6X3E-OT7yOY{{@ zj56YdmJ#)3cz)>7mx*wbQjQTIfp3coM_HBQyvfe0JyhAFxXDe5z&Z;ODPl1+V?l>d z_7pNgiJ(ItKbn>-g+6-PhGmh_H$BU1@#lF+3!^A1||`0J*y%=7++F*&38U zM3_d9vlmvqt1`xc-x!Pfaao@Uc8eYm^b)#{_sL%c5%$bG?xXJ5VLnj~P-tCAlq+k| zRaJ2kMuCN;6&~raC#4ak3ChvBsi9(#C67DqASNmAaLxWQNA! zt|6vc%9ECQrtnh%jc-ye^}3#Ir0SMSdKe64damb2>78s2IE~P?nd*B&m>0;tD1ozDfwzJ?WL`IV|5f2}y`9 zN|ix3fPk_6)0Z0_*?&sXrrTx>y*| z!f-;^=0?Iv=epr7Qo6*2k`nX?TFJ;smngTId*_TaZmtlvC5tN#xx|lynUtQPEmF3) z1-+QRI^WXxfy4 zOE11pxi4Mw^^xMvW9N{BPCO<1CM^QKQcuNAaxKXJ7e#YAJ64v+E2Q1aH<;ZCDaWT0 z{>CqS^ihsm2oY(@l?Kua)WexhIY*+NIdpvG^@o5q&ETg`QVo7B*HeLRTNV0^`CltP zt)Nat@gi}lqg7SCA%5|y5L_aOm9`aGcAb?5V|I~ZYT}mkRaMvIPbdZQXJG#H4W;ZL>Y+3xNme zhGXQ8t*XdwVg?~%Ljn~pJU%GP{F$0&Cfb+ojnNKpgkyJGbq&4i_C>a;AE5vc%^k|p z+xLjS-EG*DJsd?I4`a-DdrPi9bly;XZPY_?cu!C1pQ+BM};g7AjoCf`DA9n(Y=+f2c zMPV2+a-pVE^sxG&m);n?McCI|R;u)p7r(f0O>@#k6uKITh~t1xWptp<1h;LOwZ-HY zoo`+=v|~P2x2Ip|`flVa%bjsnRw5O8i#10F%9kwHA7N^{3n*9E6+CByQRt5JcV<{o za~85wdcu9cdh8nz-`agcKlOZvE_{2%FKr*W*zJB|aW215mP}Byr!m%FhBh_hdtFu# z`j}R{zdeu+5lYXAM7+Y6+P++#Yvyre#(SJ|)3$ljN!G8Npx;$vs!`54qxa#i#CkXRm# zG#OeJnA*Awir*2A-<^t1HGMjyS2H>KtyuOrdYaT*n4wt=X|)~#tSSL@ufl11*Q9r+ z)g~SkcC1%Yc%RZUDZM_WD}CxH@GdKFsvJ*K`+aKV3d9XJuiy5FVve6o(}r?cYU{Vt z{>V`kQ)yNuoo0xJ3>qiC?MO~3!-9z+rja3SJfzhQ*^t~sx*1{vcbYVHluTPkI~*ra z(5Ljxj9v^Wwc9Rw+3(W_CcQhW1TAGpULs#DbVvekn%El>i_LhLO5!!zC+^plKO{~s znn$_*G-)vJ30)*)sMA^M_vy`&!p*dAq)xkwMh1QQ_$s~fFHUCkkk+gKq8m@T+Bfqq znO56OelMQ&^}IV0lh`-YpD4wrEv^7%uC<6pcG;oQ!8AiU$uL`8W{qoVvs(PcB(;V$ z?V7IGOuHo1^nc~2H6Vm`{wX?`+;WE4$g@~o%+n~n2jsD|P@0!^Bz+XT!nb6P!}o{h zZ(|gmoc-GP+X@^~#GpM10fg2=f>p&h)VQ!?cdjdEwKfJotiRMDm^=wA1Cm!VY*;ev zOH_qui|gKvS1d%2W0wB0(|2 zMDx%~9%-Q@;dXS&*pNPtOV}kR6;9(ICb#OW9Svq+zIE1*w8tAWJD(&IMpL2(h$NMg zrcyFVOj*(FYdgbcrTvxYI}G$ipVUdh0!(};kMI;j_3A@uKXuFUiJs@EAzEczs^!M! zFXSCGN{D~uF09n#d{dJ?s@M=}QhU%mrVx-kO@;88Y^Vg$SYv`@)w0_=yao}~5N1KF!=SzxZTCx?8pjOKkLi^Hk54I(>X zpnv$EfAa_5|Hco0^$$M(Uw-{hfA80S@W+35{?*_AANZA784}pLh^bTY?rN(F&|2O> zNsbOsd{Fk|!TG`Wzy5>o|H|jT^7YUE+wc6~fByUC?;m{s_s!n~T{Ys8D{;O6R30|e zGfiAGEi%sMzxjJV{JlT?!T0}*&;Qo*XfX|S zLK^n@@BD%N!{7Y+=YR9-4w~416g2)Jg85QL2pQQy84B8M;rz4T`29cq=HEt#{mFm* zYd`#r|LpT$`3-a%zWMyO|B%1^$=~@E^V{G42l^Yn;ctDI_`s8OSx|(6aAqF~3e61z zVm|+sZ~n7i{o_CV)j$6H55NB>zw$Yu~Jpb@_56~4BAv#std7rQE7qZ^`6^L1=3RO?3EKwMnWa_=Zy84-eM`*a zgNqyWdcdhscZ|Hp7acJ>4rPXwDxAn9xUSAptGX9RAVh|6WqWP{Hza;=)qD+ED-MUc z{jeSzD~mCLsK;C-(a+&P0Oz72e&6x{}_*B97hMduLRk5Boc7pqH#KzYt>$TiwcLz0h zj6)Fj6NBy)*?yUI^2j`!AVcq&b~!={j$QZ7^LLu(|7l+kY^5Xg?6j6i&t$jjp7v$_ zbSd@PJ43=zF^UsY_^Tq%a!O;2{z*EJpthp`qmfy-l z$&T z2WbwKdaHv4Z;q}o*TeNs1;$O7DNz-izj=1da(OC3H;|pPBA3C*A-GSrDJ+3GTa#pF znVks^WA{1b3Qa6us6-1Vj#5hqxrnm2$<9(|HOEIm0$m|Ysb@Hm>srzwB+$TSy=yg* zPljGMh!^+-g(;1#Rfjn*5O+l4KW+2sydu5{-!R8IK=Do)Aw}@aFtv(mV;0h5ghc1gPpSLF`)OrV;FveOERPc9gP`_GxwEICA1Jg!V?pfxyDnvc{FH*MQl7 zVvm>9p&LUsG%1g8mC%W#*Pu(2kYFQLMrU0%rm2Kac4DGs`h?qviBeh0u_AOvIrcHM zn(P!%Ap_{DR3wuK6^|`;#i7Xrf`-SO7Ec@`f_#!M)eDt^Qc3z$$9^mg>%Bk(6|J@J z8t!^ovu_#ZyV1vPOe03+K?(Kw5JS{Yvr%jw>nEJGyR*7~AfY_>`{IoN1#)3E8Ma95 zd^lSmaj!laB9P`$M(;5qFraf-%OHJq!#HU;VXP^k%_aiGN;uOJ>xH3`EHX5r!pKPk z{v#5Yt{n~P0z_D-mxq=IEjo2lBIiBu4d=vnnnu-8l_H?1mrNmWU z;L>D5*a!koh#Q zxI9}JL4#Sxif*!A-p6A-x8>0h8ipP!aAnPn&|+soeO zv*rZud@;bC$9zUMb)QcU>Fl^KX-~XXEUD^z$hS~gq5rJyRVfsC1a)GVcSd?svT70_ zZO>BKnsDeWosNrXXKkp;i1k7HsxQtQKo6xb5oBaO+Vy=#V4dlVRQPb3w1$Q#AV5u6 zBjLt)qSFP@pw``?EyOwDYMA`K><<~H*i1F;PIqV>XRm*wb>wy|_hjs73I*(#_4Hxr zX+nCOZ8=@h%k2)UijBubwV&+yR^Smf1v}V`s)E7GfV$qKA0~|yz&Gw2BoAQZy^L>P z=*3$4B_SsmmXQL~yVAhu-ODrSB?@vm?{()U%W(qs@=4K(88X>k7G}!#OaPoD(X<;U z1823xahU(2tW$?S)(X*MVwbRya(X&q3)guvBJ3}c+aqMHi>1P!(c_NGzbVIBkJZK0 zi=+9Jo=v^F(Oba2u2*LnT7M9FwPX4H_<2KDYcGe>9qW2FOE-94FPFBFg5+xGi^saD zrt|ipJdM-Vb^Cc653CDPU>r|}bmxP7bm`CM z4zBP+N5v$kdn7L0q~D`{1B=HcznJvYJqxC1={d)M6XCU>x$Sm4P%(NI!5Kv3hi4i7zNFru{Bl=ESsM z)u?*eVPDDvc1`H_bnZI0JZ&##V?3KD-fR<{ZDC7w@}QbA0&yw!#=d^U2L7d=BRr+h z+O8Ub(!lr#zdT(AyLFaBLsNyeIT>A*pfx96l#Vss91TmsD^EzsUU8t6a<}{ zuGX(S-@8+AkS|!VSmj}|MGAKpEHHSlv|j0l*DF*xd}$=JCaD|($WHDQCq;l?mgRa~ z6)F=~t#<2#3w2wb^iL?pZ1fMC>iLU11!wu-icEXjC5wX}#nhMlJB5gmS+K0iwlyX& zQu)%kdEPH$d-@9bVM=$)J4LE7EIqr2>{wPGD9Ke41PncTCcRU*9IS)o*~UT@Ma3bn zD^cY!<5$9p!mx#jjDXT1BVt2MZ9<3Y)xK*tsFb3zD7UnGo!?br4L|fl@%2-XAR#kf z)++<)BZ!znWdCnr`#e5W`?*ON~%^R=I!QuR=uZ5|)nE9PoF#Y8LzWB7{v@)A zjD!MDmgfXbZp8Of;Hmp>gui8<(G3UED)lX&k14`BT~ZJSV#t4xd-6JBOiG zBhjI!=TRIx$XBRS$(FOPHB{)#F<^c#Oky$Z5GISIkX~tDobn7yU?`y1c#WPICxY;4 zZ!m->Jx`f*VE5`%S)--z6;7aSr=Vh_U1<1Fy;@h71^9gd`>rX4rG7{}DIn|%$f|6a z(Ph}bGk~v(bT-ypp2-KH8JR2v$(cUKV_J1`xFz+)EW^;*MWw*a!!X2sd1|jD2>BzK z*O~1q(M2a+x0{{xL4^rw)C$M)VM#Vk40kgrZ)n|gN=cV3agWIe1|}Ia90Mf`6U7?_ z#0j#vPRsg9!E_HzBiq)k+m7Fx46uR!`r4Q510?n z-`!awNEK03yNn^ud!G1@CY!TcKY!O65v;N|&;ifIC>PuHx*CKTbgRA&_+?j2#Z79_ z?zod}n&hbkn%jTvlBO;D>|48CU6ng|qIk!Mk&7k;E{{%b$BT-;!~mP-0h zVjO+X!u2Gt_Y!*cMBjuTS12}-)PmalxTRy0UH&B22S%Q2j$5ke*xaG&7Z=K(=?HjM zfm;BkWl8^q38%+|$74$Gan0#*daxx*hHQXVNbd_eBKGbD2G(069!}Yk{*v_Apg$;I z+i@)@>SJB41W*>25u)DKk8~24utuqRmWEEd@Qa0Og~5jw<6RchUzScyR|u{9q#UC> z_2qb07&;GSbLujBBJfF_8qFJMvwUyYSMsZB_XJPzOqOqj5#2H9{-V~5J}g{-baDS8 z^9CO#uIe{XQw1}LffdHQD2S!*5jU{*M$Ik+-;nCLGpRVjXamZ3d>G-8$=Jx#_I-^W zRP}isajGqZtV{PVR8e2d%6F|OcwhOv?@ZhEG8}s0Qx)~$5^A7 zK~`}D;=BJ|*rzh%Sk^lGBfX=9JebcV?~oPx2|)gTNB)nJRY(hK)LKF1y zi@3qpxdIs2jIv#FM-_V??j)z8l@O{^$sLSQLOBg9(3f;ZTLa~lkX@h-d=sGZ#lS)> znsI9=Ia?J2LDstq$29XD`v0OE$(LTy)1~)hWv{SQ^0DxW&-Zv1%a~*_C4StBzct3I zj|>!tGRCxPG&lEmERJ`TA9(L6|ADmOLOyM;@Wo#EV{qAHC!86PDiO#yoQi`CF5gc2 zbUiEeOKoQ$N4>-3V!${WWQIY`Fpr zJRs@wZ`IDSsA`&H%O{3Fv6r68>ZN*l?sP(kWKxYy~lv%x=1awat!oQQ14}pnE>g7Z@br+Cc@(Z}aa8 zKE+P`?E1AhBy-BP$%^X58pfA3)G_Jb{I2S1&6Xyk@aPbMk7h}YOZPpiL~uXGqUn6r zhr*)fo5C`lspy*{uc1ve9zPvT+Jcv8=0&z{~7y^p>NmX-bvzVapyeso_AwnIYv+C!wa>b8``)g z=@Z6UW>ml84L5gcqa~V+~(-7znX+TkHU+nP~5u zj^X>AbcPv%x+?caZiTDT)`SkG68fHM)5}|OG%FV>?1R~!*A4YG5oG;8;_$+C>D6$M6m|+$}Vp4i1_p$FYW4PewAmG1H&#Sr<`aPy|gP1AgH~P6I z_o@6FCq^~HEp^9NwfH^_QvOUL5+T71LR0B|Ka2o(CzDF6q8Kc}Q1^lqQr58OUL2kNF3JDzgV zZHo+g^EM-KD=zo-W?NHjArT23d9fLkSagSpoMet0dBFS+_4%R=Z|b%p7x=&!USlw*kWk;(Re=&;jY4uAT ztav$-%U0Yg=k2`crgI-~#ry${eCTkL4*g85eDkroXvj3~jQK;_^YBSo<+*php0JO8 zNSpL&cAR*$%*Kqr%$u^sG-eF{tU1%!W8!zm%(3MrjP#V@hWg8A7X@~kwQANS0_-yx z`o!WrHW1T|%?SH?f3qbdt5Vi4g$A08ZfbcFok>%Gz+25)Abu|chmUaB`a@oCVL{zS zub%ehJJ!vF$aI_zo@>#0BX%@0K-^>3nG#3d+y-#J-8SNnn_sY_j&sEGEYGJy2TeBW z|1Xxe`C7u=ny_=n^69CxZ&%bC=Z)uE^x;n@GQ}(OE4CVM-Z5PEtf(2Wy^$SQ!dd-- zZ0|#M#9rz+ExpkCtN;3s$R{dngn>RRn%7ridL0d4;0RrK$GYuh-r-=_*FqtR6*Xa4 zq^}vN{ctIiqx*f#naU9FI>icq*%>2?vpJ1uL%4!Z>_bNQww}YY${s74uhzNkzqTjw zc@^{@BD%fCJ-H<9Co!{7@+8Sk8bbvnb=6~pZgA(@%#!j*TdoXysP|galG$)w*0i-l zkM1cZhv2NQ*d~VYD;lSjP0L&e&(^9gnjO^Pmnd9oTx6u1C45Az_araf7w9z<{se7m z-|otR(A79MWZi}hrsqsk){|mWrBo{+3nN=U+%A{=sqW}`Zohr|fZ=}19=fJ}V7bUj zcE7$Mw z=;0%#ASSQeMhS?umATAw5sQjuVqwJP4}C{ZbG*9;1iUqI9>v}Hu@H=i<@tgVRNLE% zj}R+IORw_q8VfHM(}4lDWIGLe=GijuYruhigIQLbZ!cyy9(uyw)%Yqe-#Z9=UoMG1 zIgsM^+sH%n<>4o|Slmd;7ec^_*X8DR`8hUU==!7|wcqIfJQl^S!2Q7Q3l_Xi z1?e2HGjI1{D22+XWtCV@oa;Um67AQ1@cupw1#4!VEit8VzdmG`2J(0`m-_a^!%fz} zGkjXGSIoCl?%~&@wucJK6>U61TPea%of8Vq-nX^_ zL4R4|N>eJ>->CR&}9^ApQ{cUum|lKsFr?j-2uKFSj}I`u0H|>-NizqU&v0-xjQJ zOB(H&XS~VPY>;z&o6FJOqKm5DbgChnJz^oWz6~@L3g&x~=^mB8f7Pihk0oLC$yW@Vf z@F`0t$vd?!DMQJlw|sZbb~Iic_L-KWEa@m`lkYK?SM^3p@JK{{s(0sFo|kbjiJ(*g zhOpJsw7%_5q>~kv+mWvO=A87U)^7NrlQA(!Mp(UQ=CM9Kyrjou$Kow2UOb?$<%VZQ zctha7BI{mK3YAJ;P~7YazrP@U-V!qgL0`xRwnjm|TCp=w`6zDdL)o%rBPI&y#YPzl zp||fT3^aDRRnbT&$-6f+@zIoPYI~}?)9r>{l9PWC`gU;@?Exu7yOQ-SI{6E2;SS<| z=#CsHNLq$V5QcE4yNB+j!&^09FS64ldeb9=d+NMPt~k(21XEGjIJNUKdx5(By+gxT z3ElC((9n1~G+TKS*whCsy=p#OnXE|*SgSAsO65Iy{#Hd#SUY+fUdTHNHzUIE4+1+mTC7WFc z%s0b(QNcS4*Y)S$W2kR;DIHiMFky%Zl5$Tav++1kwHbT ztHN4kWy|yWO^J39^POh`*{gTuxrR7s<;(0$+qsE{T6SEVTrxOp1PG^hjw+5&ORP;@ zaA#*#NKKEMp>%1Rv0^2b%C4keTiq3om_7xQoK|@vok$26XO2^0Pe!FTR(WWTO1-|T zX_>d53T&a-iN4)9jCe75Ae+1~JZl3;zMNw>DR_=yu1 z0}prP320BakKw+u;cS*3JAL+zrn5i$#ZW~T_*d1t|tXpvzeY7#r@}0#R z(^&=!|8T;hZ1_aRvvZf7+RjGTV57-o%rmSX`Yu8J?}hbW@AJGq9B}Lx))DiI;jZ=G ztTB|05y!2S&OfEll&{xx5!z85A4Cm7NZ9!Jy0peJ5paMt2^6+x+*>~T#uGZMET6hv zHstI7ms9?T^YI{H+ZNPvG>BIfjs!cJgSz89xypK3G@asT@BS*eH1?$!68ZAR@J-Cx z?7af&^%{N9IOos)yEi5AfJ(7vTxK)>YZaUGQHT)wz9W4UAFw-FpV_{I>SD%e(@_h2 z!2BxiZV&KfW$6D>@>Rv*lCSMdMiz?Ek0JA)|J0>lkHLc<27Tp-Ue4f<;Y(Z)PKDLA zEgJa91@|iB145LbRO}J0hEI+`T69Z^Y_YzlK_t&A^wXEuX@*ZU;vg2e;;gDT&OKr| zODS+@;tpX7Nm&Rsu05@TLoiAj5QNbl4611u>od|(T$+fqA)?xxAuXp~TD%ae<&s;p z<1gm&a0QsQLBjucDr`YvI23TYV^cD+TzNV9nxJ0sVqzY3L{xeq>SiC@YW$(BmkqDx zrVs}4VDYUA`f%9elFFQjhy~XnD>g5?k=Wo{CH!!`(#?B@9+h9U@-#8dpO#{6bGcLpJ<&$hri(G_7X;*vbVLra1?=aSPSB6$UCG{BK5;YD~UZ(z+x zStFN3Ha(k%ch4wsKP6*DL!Sm|lzS=RiXLO+-{=`V_!WAHfEZjmD#=SOCH-{2yKRnG zI-J_v&z*eFKWV-Cgb*%H_OPLLW?_@z=}ShHdbLv1f{RrZ@I9V5VKi|l0~RN9dQUoz zQdTb3FP4yNo+|t2Pie~7~mj_U5}?%G{l)vU|jr*}-)6e$j&8#Nl;sL_p(NJ$(K9+D7fkOHZPO@t>L zVG?{X{on}8HgQ14&@X12k6Y?RT?2F zpV#@fPe~bo*5Rzv%ao2B4D3x!Em`}s@G`RW4Nl7mz4S5$EEaSend@p zZVJ;S&joz*?!xil&`5s;?ZAOS7A~G{7PiJe0R08627rm7bK?#(xZ?ql?EytL1|5(1(oE|Y=fd=Cvj4rQl%l12L2^{t>J%ufpwwD*EPq*DXCHO>Ne}C zm6*K;8Zh<(51$y>-i5`=H{55}bbu&HmRQ{8PC7$b0%YK)mjKVjFub5;0wVUBVy{~=mTi^SK@Bh~K zKTVIm>Adr`AN=+YK4bsjvp@LsJAY5V-g)DluiHQPm3RLB2cQ1IEAM>!ov+f<_U%s{ z+S}~yPvtv%et7#+ka+c@Ode&{q3(@JFMFvojZj_dtK#ZhwZHo-t*ZCie_lA9u6e7g z-X7JxomRdzYF`YsCpKrR|Hk(}b=m;$ykS42y1sE?wgMj9-wtp8@o7V-XBnLj@O+aS z&B5o#w#bhL!iJjUm+jm04U=`MU7WlG$Gprw;Hb!kb}33`1mj$4p6;Z1K6v90-$(X4 zUzI=K8Jp^~om4B`nC){@G}1KH&^9;HDoc4Z9WlFJkD2DXpWZpu-RnFm?p|vkzM^^V zUZeKGce9D8RmMlEnfSrjQoC^m(Rs6_X5w4$<5~2*x6ZW{X3{%vp=r3O-g#5aCwVq$ zu6N#0O_Z0#+kXsS(?eO9&2&&t>D$rNDmJREjH%UgP`vw^i;iDobG`kSg>yYNSY8b6 zg|E}*8lR}vDkhE9f|N9^GmkxbY5tYT?h>HL|sfon|Poe|4{SLY=u zrA(bJ3`z9Bo$pPy+!g`>J4qbJB+SexF>pyD*Fq>Q5+I=_J1kF9N2vxboDl7~%nBsp zv^*)Lc9EJyh$ynYu0;}@DG|VJWq9{ES(DRoXS*Yb2!IBaz{q03n$zA2dE}RE^)@RJ z{BlXhxm{cCE*OYina8HHI0QPsKf8>bh>k~>DI@~MQQxu7lBA3RDEvTZA&DD?J=AW| zjIq%Lkem2~Gaw?n5DvUJ2`_=;>M_uHQ(V)&?T|=_qeyxQRFyO#Mt65#Y2!(k7MK4Wby5$t<>FfZH}b2_%Tm>G&~D z6fB0)=>xg@RzgXjaiB{15gj=IiWGZ33LHmPN^kd+LsOSE-UGHaaH1%NIBB^vdQC?h zNG3Kk;B*=ek}!oOk{jb}9eLKj|Ahw+NH$*}y7)16Y1=m|l4p*B*jNg(6mX>)k6jr# z&Q$0Fd&Q<_@ZQgWAAEq3(cPEr3<^5fp5ML7mx&xk&Mx~ZQ^96lvN=x5B#YsUE!J$a zK6v z8w$>CX0Mv8pmD+B7!=o7;*1PbCg9kk}S8CAW9U>2}Ps#Hfj zWo6LSzkekdM`faeT$n{w5q%naS(j`0_tw`u+Qai5GX%;o8*rtk$`X1Kl0haTWf*va zJ~Y-$vbL`l#og;_9=G5R*)cG=^CwQ0p;9)0HW zbKD0*0VOh+=GYWh`BsfLr~@+l?eFBf@@mR#HWI`7creV}*SA&n_OGg4ByVmJds%rS zpIu@Ni{Zgmw!K~4=8Hl#&)t_X&Ee-zSHrqG?W@Ta#~r4^qqrX12B~&dXsz?C$7Mza z1=PCl9Mw3(_A;ICr>m%{tZ&SDkEdy0-hEky?w%Iz8qT%txQl7F(?$B+>NH_JU7yFm zK6RP3wKHLMJa$!_EX`9XOk^cpl>L?J0Es|$zvLs9=DZ!cSql!ySU|?$;^NH@OIkgt z(}dwXudWb9lb1VMu{yJq;l;38ef|X&@=0Pj67@yfE7HB?I@bl_YCtWxAzA;ba0Jmc zVjS+s39Jt8DhOn^?sxkm!FR-4M_M0g7qFp%DNDBo5^Iq&HLJ--q+Whebck~@C_}; z>pXw|)Eu+Uh6?)lbi#Pbj4!JavqAI*h7avYB(jf*oK!x+b7QrSRO zO-)A#Q9)-b7-^^ir<25D7KV%05*|{|z@DQM*DvnqB$=J-NX7@2fUzBkGw>&%3_*<+1y-P$Sq`O4J^osixFwaR8JmE9~{LK!TFVcSP|)-Z*X@O{-63Vx2iBfJlY zac*1O965T-BEypjF+>EBj=%FbzYMK^_5#9mmn2C*Q@_e!?}S@>2kH?ZWaN)AhLi## zUs~`JAaUvwJw^o1XfQ~209WeDX99h{#V!oNo4UKwPODrcIOf3?-50Bmn1TILWq_2IVSH``r|)T!rq?EDZLp zlQJbP3aI{j#8t;?UDD|!;|mwGUH%wCf_izTkaRMqQ@i!MKTkWE23!=oce&}2IM&o& zJKQ76_wD+^nHNpB;qyCxlU)$VBmhO1fMaXNWk44gufVk!uEY+IujPCsNI?;8A$2P@ z);mg-EjB&08LdO-k5yK}4tU<=EphW*z8v218s#P-f~gp?67K$;Nic=M5PiVNbVg@d zTcO1;=Ro#@>#PDE_`Ip%+2F>$lgx}6D`-TKKSY=UXXSHy9LmaC3KBGIELnd;hchm7 zbPV1ac?^SqQ6#7Uumi_+YEAO^Y49a5miu&Q(7TSfCQj<>Ru!0@C_oI>YexA{7Pt}^ zW)J+GyaShD03T*kR_YyEDQO)Y>nlpSC^}c)a}Bw4A`Uoa15k%U-^7WN1gdDME*b2W zv3{8Sa@5&NC*;r!Fr>P{{dP*DJ>~UIaFD{-=`yMfJih454TIgA5GUd?d%l#uxCqgy zrOkzR5*gYI!G(%u5}u2XOYPGO>&?W2qwN`RJMqyWDsZc=^$wtFJj`#37Pt@`8M9v*?=+YL`|Q&2^4Y zj6+I9D>X5qiKB)Nl$i|5<(#mBd2WNW% z=78+LI9(%7X59kuO4)=YYxca!4RvM*)uD)U%(?P#!m+HeZmx3#0${8Tl+qKyOZ#BB zap=UpDF}FaP~JCWPWxs72UmoiD>H=PMwkt0P2V{AdwPvL7$VHT0A{y|Y^ zP8^;r4ufg)Si<|l+C8)p)6Kp>(?$+$n02|hJ#1w$OZBnpCHVgGTA{~{v51`+N(s76f+A-4oqucBZ2Y;rP>#8Uj zC5vbAz$4XDMYgMRD>E@6aX~I#U}wimAnhQDr?now?$0F&8}quU%qeoFnSSt*2M^Yn z)|3xwapH|=iYibf1eey`M&~XP`9q?R6VddlVYN|lng9|B zo4re#NYbP#%~7cW2`tSiV@^qfw5LP7)DkyX61JODBv?t|{*03uETRn15yZlRmq9qB zcP(Cd?bKMjIO7mEa!Sj9WYDT1x=LiOa$`AhuJ&1jAj#kOg%K%bRg^oy%dlwyTEc9v z0?@YHVPX60>GV4qR!*TctPB=39d^0}LN;WB`H1>S!w#45C9ND8jT0oV`qq2D_vdg@s$c?9k-U1-+c2sHhB>U&>fM}LAY&+JDLCza z`*O6uS=_x|En(ga&_=W|LiJU!>8hc^p!&eh4wh`n$hHLK}5WlU>$m+bW4$t!QT^IONo8-Z?*6Lj%N62vw2RHISaud2>sTqYho>VS2dF50OXXTY7$g?* z<|-Rrki5U$7K{@>N3)6p6)u3+ZNngs%}eWgJ#-9-jv2IE7=(^oV!+j)DXbf@x)HFq z9itUt9JPJBhp%L%N19lHVc@G^1F#xoCxGqUTMH64fT(9}koguSfiSjQFcv)mlpaZ~mQgD0U=_TARMYV(%P~r6a#^4wK)-uF387;qDt1 zKHB!cErqy9nZ2bV9W0HKeuD@b3_h9xz++Vc;8wjX7S5*0RuwfYy}0}Kx^Luxz3waO zhMs}fEq3wcVX=leIwoI1OD+&EsXKPrCT}7V`H|MU58 z{`6B{vH!zY-ue$;c;%l{lXHs zwPoD{*LX$w_szKOwRwws9h^WQ%C{FmPS z;+GL(9v=FI8cN+JE4V=Hip#)m2yUG1_H~U&9EJ0bZ~oCge)HG<@y*x&@y$Q`$2Z?} z4n0C2U>I+gG~BDAqfveh3}r#>gB1%dv$#)a5fvbX%6aGO?|kQ-H{SU+{re6K)&7Bg z{ym#$ednET+CTUt{dw!1ufFqbXMd=>hWDJN1~h|3t4@B~V~3#TSx}z1Qp`w382az{ z`Bk>4=QZMW-`3WlU(?nED?P3xeCX8}z5yai-po(Z%afKrWcEq6uGtPAmUl5CqWTvv3 zvt|&#R{1OnDd#C}(*A5_|B^GwlbDR>C|q#2#S(Bdio@ADb37^Q`yYLV+cBJ@@&lbx zR7@mRgPpyjiicp9Gl?z>^b~jw(Afnm?Yha(r$^U0L-b3zMw7s_hzRHTL~Hr1p}ff< zW$jnz?t(^Q6+e?L(C9pboC7A`_YGFFv!zalQmZ(XMD20h@fj|ya4)#Yvi4lDkHgR^ z<34wm#35+;{L1sYJ!vuyu4u%K^iLVY43B+)BmJhl=T=aKe~kks7puX9iyk}Wp|XJk zeKu!*pr4%~0^N?bPL>?lpxsb!fEiWW6)VW(l zY4LCj8F@s{y2IUKfq*ytdUJpE)3N$TEI521tUXCAY|k~pN!K4SkZ`+o4d;msZOsE@ zs1Z{)xHo$qIBHH#FDX4EbSpQ)5%vE|Q<^r}_COi$hS+T+X!JbE7sgM-CV_){%dTjf zJntOX_L2BfB5}hW&x5wW?d0rRW? z#|yUp)DH31K3fzkK>5^&W8bhHl6a~rHB6%KDjz(S+A(UGhFeYiQPPr3!&Vxj{*Q8?TPRG5a>Vu*+@<*y44WXLKgTDOZ(SU2{bG zu9E}fZ4iCTa7EXwH7o!%!&bn1Pz6S5X@RnVaLV9J_J2Z#8g+2L0YymV@3$JMZ7*Vl|=lj-kF;t+Ks@f;HPVJ?58{+)1kW^xmB4 z8(FyBwfag2N{0s4QP6HdDOYjWUELMxhO=wcz=B6w3x{@`GqhGz8^qpgROp z@3?q$c;4$KJGwjOIK8+6K1?7~m``xb=jUJe8F@QS+ytXb_*Bi{?>c(vxtA{DwED*` zf-z>Ro2V#;sqa~X7himdSn#f!7@m_cyC8LS8+A)3MMGvPLmLJ1dwIP!(6<7un^pD&zMNK1cfv`4@fjfVlH zhmL33L~OjwU?n&3K7ke(3ML2qMbPnxxW+nD--=zmu#QuGTd_6M96%Ed(6U&7#AK)R1JhWncJrF z7#1CE&Kh=a@=mgDop7dD#F_=RL!bcxA`+4QayX2#D{Gn@6+CnmaiWRi;XZI*ASFl{ zX3z422$F!rC1pkj^S@ zoX}ZiSj2~WTjRo^$(Jp==G@p)KlqsVK_XW%^*_aZ)4dhbRf;YDRXQXeeaS zbqu=+&=Fc2F@A4s1tbV3?%0Y9kAoqv!4iQ^tT#phV<%368BMT}XuM?`#v5%K9n)~{ zxFq7bQ6N`2>YDhe1uS7{!WgKuDEc$YxJ_5rarZW(KjQ;+5XGUVE_o)Az3%BZRaE2{ z27Uqv?%_&1)`WUWuu&aaF_jhxXN)NA8MolUQyNm7#b-|B)5x;^m!Es^AnP_XJ@etP z-SibLx%l+>)3*db2ExU*M+0RY6ha|wz3}$Aj8KTnG_aI~IWB*I&zo)QYo)?M;=pH; z0H2X(i7jJO?`ZoQV!Y5RTDym2p>IJW38ipHOFb5FGbsr$NXmSZSm5ljlolne%isO1 znbb?iq)}qAf;MBT3D$_H6BX|7m-UW$Crl>1Lkp;r8(Ld%fq-kJ=@E?5q+FJ8#@`d8 zDYnhsH*hO4sUw#rq;>-HQjU^@NJjfYixcRAJf-u62H}J;XP%OA3m#UT}GcLw9gaTzf5T;;pWrc(2=R1(>}~MrGt4F?bB2^t~3{vc7uFZAP_Cu zW}k6@V|6)ANzt7|FhkNXv6k=@qRF`{x~8|Uu?+S4*2D=zE(0}c2qJIBon^OMI>Z-S zXSmh{!-Pu^;d>Z!B(RdFb5{0y+Cg;SB)sNC7=Z!$AAmGB`CKsRP4x@Cj#7NaOb~n4 zKmQml=tVeo>z3_fz1WIp)-NJY)RhsBBl@3q8d)!>l@?f+XjwPmBC;fW8TA6^L5RzRop~0B628; zXuE{U5tfHi`5E`YWUE8npz*nep9oq|l7-fM%jcU|h8dUObhgevfoY{^ro%by=eiSV z0{=I^0Q?y$4xL_La!M;6o3|tCbt_t9NI%_y4)060vXkHqtypg$25G~AN}5GZ3y-58 zJTe~b1DZiD4x#eIUe$D_-8ge7$}@X&_r)z$I%mW5p9x!Wu_5uc?AW1F>BcG&pS>C{8qb~=pe4Q%SN9Zc%v3oL&6J%HdA&gupxeCn6In$KL~#Zc!WdEdg> zds%!~jwFMu%!UIyl0R`GXPbb0x#k$v&60z*;19aDUvoEa>T1bY6wc%ct)ZBhGuPfM zxuY3r8Hi*56zl<@3DXS7EQrxaBar5~j8hUPNG#$gJ(O+UalpPZJFu16@Z^#447urF zx{+W_0ySlAuZmV+QnQ~S`|(h6(>J%w7(n>Y&(QG0bt>?|o4O(aU;TbGK3UM7t$*0< zKF3kl&xkGD(HR`S_?fX3!xcK_6uOxEwnlJ15@}(#BY$YOkgs-!HGJiclxWASvDS#214@&ySBlUB|=<2kJh@dDGNq zUMrd`5$L9|1(t+`IGfO#*f$jt(BZeKmsDK)rs1en z(~8k{)5;Zjmm_%yuN($>9-R!~xR2{w&R7C*7YIYT*nlFU!yxQn3mQANgp>mjjH5vS z_-8a1?uf1ZM;|<(tkyXi1?vy3Ww_v3_HupeED`i;K_V4Qadz3=>kf^_b(8hf)$BO3 zL*%<+NoQQ@5B+YHUEh6yhSTFSseI!tEBH%$`C<-}dnzk!>7l*RNrSTqfU#?L1q-hM zCC;<<0GL+e@tkVEBMGj&`vNCX{G!Q=yliPZs~0V2IaHLIaC`%2kOGBh!RM$ZiTRqd zhh7>us5S#07)jH~d)&$a?gQbvbOm6%F+N@tJ)`iFTrgD8b7tXa4O$jprgtd9y zpE8YxSGqLH?e}yL(Lv}a4SJU5_uaSH{VX` z%1oHX#}D^vweMA&*8LEYj*3rP0c~Uu7^D}%tNHPzWeFrcR$U8Yh7PedB$#7#{(-F%Hz?(xZP!X zWL}XpN~B#~(l^H(PKq?qMzDOnRb?6A&B*Aq>3j*N-R0A=xzaFg`wVa{1ss?T zNKdEmGB3JnGMn8q6NU!CaIp)XbRxMei-Q{DhaTUlss|dJx5aK~!V&z(Q@BMWs#upF z9Y8KkMCd^RJg{dX4A0h0aeK?|GVNkh*8qU!sO}6D&}KUXIX;GBS@*E@XVDxHL~x*I zAg?rq1$U2|d$x~(BL(E7BXUKCoRlMQDzMwc#<=jc7JXga)+(&V`xim6h-mL%w>nrC<)3DQQ*3E+qZ~S`x<2BV|mT z?G}zV^(t$2h(*o?8ws8WY+XcD&0QX=3WN&yJ~2&Pc>sA&bLkB95|G&N3sH`4lH z1ch@7 z*1oZ!Styr6;{_Z@0$39`kpTvh14S?aB0FNbiHBLMa!GJm6A9iv;4*^p@JnN(WQo)DRIE-+^DscAnKR`jm+L@0 zG|NgLU6gXmi>n_G9>cfn9kxCx=F+Z;Z7tWAj)%|`*nr{c4S{*mF?%}`6EfUb;wA?% zy>TpS+3MSVvB?WyFmQ7$8J4$xk*Z1Eb4??lK^}~XA3KSh5t@C8ae%mIbU?lkb<6@V z!iBR`F`yI;Wr%}9ncc!$lXivuq-=9`=;KS^ke$M3I3++YYhUF(RMi67b!9V{uR{yt zBEPN=LJ&9+9}{Sf(zv1N)(semwV?M9;cd2QGL=Ehb4*h@W?AUnDeA3Xhr3)My(?7am`8Rhqh>T2#JG< z-Ep)@o(6l|eROPn=Q3I^E{!~w{j^s7?XB+Yu_qRzK1FhHjbZHJkd8n@hyX}qnW>K( zZvk^@n%+c@Ti6gm&Iiny9n^4(n=*kf}jMC#;()#BgRiQEVfF8|7%^`oZ zZvdkMIoRv19Pv-LRsGmmZ>ggnt~xs@ste~4;G+{(7UP39mzxX`qX1LWAbcT>)uzBn z$yqA8a6;#bnx&p`%BNCatfFvj5QY7H=t7fDoIC8z-Cwdv?w&63qM6AO z#*_ogh~dUgz@>P}2W%M~Iy58C^M^8w<>ElYuc*{uak`~)d7#3?Av}M? zxL)xHhQcHe@z3<9d(@wSi!KNa9?`%fg%nSV5<)z-l%6JjtAMBOAG86t(7-UpnN~53 zW;i~b=~5}!d3GWCFf!Ps13MQ-(=!b&BkpX2$0MU?7z`1kLK!Xy`@C9nqlW?>eQ#w$ zxMPh>6DJym!+-yRzG5A=0BzXMcM2<<3EK`EQ(3GIjAc;Bt>L~X>u&g^tw?dbM^pVp zI%ORSU_)l}-d-XoidJT1w5ZuRtj(a)7~tAbIK-ibo)pg<;NlpPI;Kz2Yw{%0-~(~Fj}51Htd_lCLzF%Eod{=I8=$nR6-o&p!j#vwxOayp8!FCa;zDH-v7({wI|K)AWZJ{vYRfHCBAyQ& z&4806PU4=)2FTw245}2Y5ar6w1Q5t(aFC+{o#U38++y?}YgZEICNCH4Zd`Ny>cyhp z%POdxB5oGY#@%LH7$d?2>sG~ch)k9V3K&8Ak~(b$S+HK^EzN&uX;=eFIn0ZSP3r8y zAw#ZlOh!NV(*(;;-p4l<5yub8Pi#A}I zV>g?u10EFX&YGMK%s|&hd{y||Z=9O=1H^DcXD!@WErIN6aGvxG5ZFD>`j0=Wh`(cW z--sj9x-*3QJ@!I(+2cGW$(?4utep~`7B1|#N*Ard=28uzCgXFp?7M)ha(sZNQ9MOP8i~oo(4GfsVnv zXd|MO*h_c3w;&%})FBx5AgaKt0`cND@cr$SZQ6-7oB}lAjoQvWz9Sx?Dl-c^5|zGX z8#`^Jer!nRdJ%)kk~j@dW7fSi>IA*65hT(yRvS}_O&p2Z`s~7&-PDs>-LS{S!by?& z76Ud>$#7zs7r;xTqt7CTID*KP9q&-wnljdw*%mOzlIcJDh(b7Hf$qrjTPf)3m5n34 zWuOZ??Y=BJMGwObX8tO6QO1Mo)1Eh*;%S&Z!xV z;pN$wv-^TlT4j7g%b2w}NwfQ+g@`8&W-*Qot~oSdEqope5e$e578RYH(Mp_?Ot_$? zLgUa;I^P|jeQ$Gg-y>j~S&STmD|X;>Gc}K+eYR(b1%x*_982~6%RuHUR|=t$855mXe9Y>6C1mpcavJ1iWqE?}ZIJ;JYX za0P{}2e8Mn4o~I$$f5IMy+ijYg7EzaSd;|v2Lf+oJDTr(JFU(8uvnA;hwO2QMY+?! z*a1l5@o|gLP7evV={PFKjl>f!#N#+uRvx+yByEAKqDKawKlu3}B#r3gIP%O=;Ur_3 z;}uqG##;SgIQp(vrj~4h2@n722Dio~?HbFhwAehvGws6o$*6yq#Tntk9bayb7)Um6 z=+u5-SBGW2ZuLzCwvai;)abG$O#{qcc|-f-g%iw@Fh*!Y>_tFjDq4$8D<;NP{AAeF z7+i7(gEmpi;aUVxxxBVL0unEp7r4j`@Gp6h<*bKOv{{G?+N)ylpR@7sw%C#IRpzi& zgfcrejP7P_BbRBw z@u2;tWeyClK+Dk{m4&dJ**RbopO!HR4(Ti)aZg_}1CrljLm1Pr31KXz)#32%l4W8# z#{>D2HkbFQFO8LC<^my}_QkagVPsv*=X!w&&8&TApI3Aq-V7>QuC1FqcPmrhBqW4I zP6-DV+DK>}Yh^b2W{$zR0c<}c$;RcIEC0E2C7~~YqD!2?a*4Mh>xgIO8nWEfs@pIg ziQK$yq;^)md1mb#2{SkI`tbC8W8@ozzKVnvsOkbJX>j-8KWI92Ox17u%~2=cT-r08Tn^*B_a zO{AstaWWlMPtSo{FA%tr=V<|VhJo!TSRY|vvn@JqaysXlnV(s_eAL|&H=gI3!B{mD zFZ5xljXPf&ARVt9z)LZ06K79f6=lGA-1yHkys-=@(y9$y!XkcQC!*SWn-hH12 zPn6PJT>w1Sa^m{vbVO(d;#Q?2UR!KhcQo*D8*n=CWYG@J?_5vI87rBW#u16>^`0`I zlWDcJ{%dW>fz6l%EIM&s=b|KqLb7!b&Y}fQ^b%Knu#jlha6Jr{`b?h&LZ4px zk@ca5tWzrnBpibrcGDjn5pLT z5^KB3fW)yibTn!<8(kO-Jup-v@N^FVZ#py7CdwY>TnSFey_xETWJEfWmGoR2p37cE zFU-~)VA1CYL_Ib~h9ohDsSW@XTFTOjWQ)ueu*U&~UEuwotlwm! zg2>7}t$i?XW(~MHLLv0RF#O^PW8dMBMK}s5eSVh}rLx33h^_2VA%~d|OgII&3j?l!1ofJz8dT*6tXjw5*q`*g0luG@Q9e7%XYg zja^6epuMg!U=ZFoXAe5u9quw#z&x#Uhl%M;Si4T_0UL)lPGZ>Vn-=9c0khO~UBlSS z?3{sDI^pFZ+!uE+!o}ztstlKTPZ`o9f?G7<<|86kOWS49**7>RtV-B+O^2QK30|`h z-Ws*^C(HsT4u+!LY-;(frHu%_MTWUY zjl0e}7>#uAw*={cbE+XCOKmlLg47F7n=cS*x$SzaG`K_0PuHHwNFCzX`4hgt6?9;~ ziOwpahgqRrX^6p=q&WgWTGpyq-qe9$0%b5-O?Q*$#kG8BIP^ zd4o`qe51q>4XPeJ{InL(sGSqmE`pd1!whBS%aywB9Hp;o8TzaxRtMY{(9U$DFA_IH z7(~U*Lv%JU*k>$*Zn8E%otQ@rdNN$6aYQ5Q_5~%xVznv70le#J6Yp^oB4}r$E(r+M zt(DjN&4FfEzjJ^T0&MKP4K%)M5}cQG!bNNt;CBnY7YqiP9t$YCriA|_H9||BLLJkM zXojnz0a`0yyo-v)HCCT`r`n8@D^y%8rWvNru5ZtlpuMFs)B=aOuruyF7z*rjK6dP3 zC$*{fXhtIMTZ}1z3L0hR3nkw`eJtA-98Rb3r+5@2gcr;_FHf22&; zaK0^q)cq?KBZzX#wqp3RgvZ&vhWXi`QMLLeoE2{N0P?_R3Kc9oZaIb|D(x)=*7 zZM>^DByLez+Pb{^OMB7Ji$!yrRkgikCk~o!`D3GG{HvzsXcq--_Dfp857z(wbH~9^ z20do$oWdc?xy8YaOXwz3ep zLKKfgyrROTki!hFrF1dZ#|Pq@LB+1YHFNW6M9A=S zWljZgi1v$263@vW!@Gtx3?6NgaQYVt=)ZjKs@SCP6$S6Kv~l3VCX+_Mm4_dso?Ltk z6oH};)6F@oe)1s;I_$y*A~gv@T_{#K?(e?b6m_Y1u~+`K;{lq;+|10 zEUi3$j+_}k(ZQ^Voj`Jq&gTpj3D9Kng}s1j(fgGo)*;J=l5`tt{xe14?fnsOZ(uH@ zc_AdN6e#&XoM?~KwSx(Yuu7F|1>wiH=}YxKTq597IxwP-0w>f=bUD~XiB_ORzjsJT zV|kkvHW>43)Fp4I5b^S)7_@z8N*QXDTe;hNl07WB7aKZ%BSxz;U`GPA6b0x3^&@w( z9WI_pOl_BJr&5#f!dJz>NLf?0+d3cihc$~{4yc^; z8S`g~&(P&hpFbmO7QYM}O!|!ZGsPz&6w{~ApPYtPJA85)pVI`KCg3yyrwRFc$Z0}K zle|20`P1i5N|U^dfs}Aw3Fnn?UJ2)wa9#=Lm2h4O=aq0?3Fnm{uSfVB@_Xcyay}{N zlX5;O*D2+EQqCvkd{WLQ<$ThYg9P8h8Gm~G8Sp0!@!89>nFVO4p=Cep56g{EDtyNL z2^U+G3ZFiI!sGU3pP%@g#^*EvKM6QZz-g$o_~bOO^N-O2`1JXc(oj!&_>R1|S6%K^ zmwVOaUVVhW3}(yuaF4p&qb~O-eZtRzd(`C~b-71f?opR}ls-`>?opR})a4#^xkp{@ zQJ4GD<-T;eFJ10Sd@^m2APt;s64dMw|HJpxa=9m6?n#$>l0IRqNuL3K#%vPP6|CYN z4F!+Q1K9)+aiQoCzpv|3Tt%=buQ?#p$L$RrUg?Z8$Fa+sjj{LKG(qHuj4h&o6es8` zu5*)h3|{A^M~QufqSVp}8iC3rKws9t38OqsPNyseDN*l5e3){eQ^k}fAVIB}A8htX zIEYsV?#&h(HmTD=0#EV^F(ldHTlV)3QLrj3Nt?QB_kD9p!nevdfcs$EED=45eanwH z4CDz(>@1o?3(&uP#&HPcf)ogC9Gd-}78u@h>LV5>O^_hgwu%F(tIJK-ZU9`s@T&Q; z%3G*(PqO^cM+d2*%(Hc$^BUhuU`7lZ3(hN$Kq9AR6W%o)JMZ2iDW$k@y7pS^o&o)j z2*XgC!7ptw{8ElwECPcUOJMPo*E8{v(Ib)8i4O!wTF9TD51(Cl=rSLcwPqi%oVQ$suDLvDpNLP_bi_x< z*Q0Uti~~u8>X}5mPb0==@;>08lv%F_Q^YQU{s*X}EI6L7B%k`=y|!j7q7PU}DHvCh zz4PKzhR-}AWaiDRcb?IPI6bx@7C(o&Z%IC@mW~R9Xu%fg*lxJkL7B#ZZC8C+vW;uK zEi+(P5`lYSFT4hbi2~N+mFmbwx$Daol-`l`Fnb#pxj5WIh#gF7O#@}$KW8w^H#tqc z0!#(Ux6&C3Yz~J<=lTWbY=_I7qiZ$G!vsUr)`9(qEK57MIIe;xAwcRESLLC?Xwe>LE}&K2&=RoH-C~1HdW8t| zz-?(Ia)29HIU{M`W(XTWXXJx@!v_S8KjsNOJq%IMF*lRqB@$g=oq_+&2JmXmvZ>db ze3|Lp4p8}sm7=xxH(3ckj()L3v;}&#%olK$(uTRm^pZ$Bk%(b%y~%e7xUOC{^?c5j zXaccCoDs(WL0{MiaCZQP5!BXvB4uF!sQjsFm}PxnyL8=bB*Qt0W-2cMnXGE?Vrxqb zrDCB|qQ@~{*iLT?z4NZRN0$Le;;*D)a>HBo!9gCL!>5n2Wo>o+x9Fp>BPoen&=-P8?3alTFm zHi2fN0Knb(8oXYJ+9C!R<>xffe+t}F(VyyE}co+2xF6r z7YtRByW^3|5Ob5#)An>zmsmv-iC-5gUL^7M_PVIlhqM3Jp)Oh!XHEi&9N5+MqcSr&v6(8-)VqG)}3oA zKlBwBf8e4#9tSRrf0jU>IA3H(T-+4(f?tXR^fR~&1G;2z8YgvCsK7JbmJH1tA8`qe z$}*Ey22jOx{P2W`U@4s(u^5Ik+^9Ib+XQEQN=cLSeSAw|&x$OZN25|h2`P;P(D9%-{Fhv`uYIeN7|HW^V!zBx;tD0`H7C^^L|Of0#}Ko zq-*$FKW83+v!V%5+C+PuIeD3HfhB_od+-LoR#+=L+QnDd^YRWy23t1VrDb&sE9mW} z%Nok#n%e4MR$|*wOBHrgY@Ro-$bo>#O|=CAkAqHc?V7rP2(PypK=3xT&7TLLDL-ol zfkcgU9U33Ig4kze-)@`(I%Es8w(_v0GS3fSbA4viU1#l~wCP6%Tzg&nmV~@zSzotX zxu_g-@&J-b^Zj;HUvH^XPDa?CWC|)d9*`Knef}J92BOj-_Qx%}W^Ag!wX-}_B*5`S zBLB`daFT6EY=BI%K?s)T&WXfp^h-g94S1v)-Fq~&+M?_mswBx??csL&+!=+s_-&b8 zA4vK!2HHsFaBzmc+1T5DFR7k4BV(Z9E{;St@U6>&7N*Qz(ZMWl?L&XNsp@_Ut=(DZ{9r(~zuq9-SLHA1p&(;K!)th}ynBw3`YOv*kODevSp` z%n~t=8?9N8ZrKG;K?6 z$aCZKgXI~~G4&dY1ajnnuf%Fu6^P+?4HmTR@oItFGxfN|%6qgVK4?sX=d+ zc7@bUl^v~>$0L@ybVCbRwms~4w;WrdDrn;55=`67!6S}+CtG26Xo-x<0-TrA5j*aY zwC>{={M?!OSb#elp|hYSpsqTd1;>l!^XC!(qZ5`sCqlr1`gUWt{W9C08&|Tf;O7Wph;!-}d zyNRXoXAnLx!h?Oyp3R5=2n^zRUS>^C;x=E<0u!C%;_9D649?-b_IH+xSgR~L7_`xo z8K?0r1x&4fDx@D*u78gr^9_$B>K^|fGD|sYt6$n1d#1t3pO9OI*wU`4M!zwjZ_^3V9W#@vH6}__{vF zokFiO+9bnCSvT2=%^LtvK(D{AalKSS5wik{w(msB63Ku7#}&7Np%cG(gbu~s@k^}g z;5bIcH}w_~I3;}hh|!&>Lt?!t>VX&FX5k24>~;tBsW50=R~c$(knNa{WWEWpJm}uhBA@cmi6;%By93z32kH<@bipqP-njbY zXHKHB9SBorQB?FF7Px_~>6Zuj5GvoBbU&3flnzjedR^IKy++9Om#FxdGjzIzKpeV1bJ~B>H-h!k(kmKdg70)pw(6%nuS_S z5@V#M=}A}yPTn&55OmS_*?@1V)JCqjYUyi-vBOK;$qxNkask1>rE-MHkS`P&}+Ieg?tGxyr<0QEOw2(+){;{%y@=8lI&CGI9s3& zTtmEl1iSXydixiYcfhLn8JyDUKRB-8hnJ3ig7hG<;0spXLpfRkByKvyrEwE)W(i0%t+~JfsY}>6OlkGE z1dkc1h{@PF*?zdp8h{bM*xK^s;{Ca}2A3W|;+D|qb+}BNkQmNku!ZrC>I>KW?K4rD zrY%%|Ynhh}MTA3qyTf+#KIBqfqFfx-RsPI`?ns#9Y66}o<>3sS@`FL^c)so%Q0@8> z?n)2&E`4QVP+i=^!)V}W(o(4<;jd|s??_zU=Er#-6xmEa^$)262bi(Mc#LT61F;BcVytzE`b?B3E2 zLq(ROp`;rc8%ABPr=GZ7TVL1z%@{%1IKwF%o< zXRD!Yk7*-o-4v@80xf)4M%{sd`KC=V4AIE!CU>kB>|RYwCvbuzQoW-c-rRgr+n7e< z%%BZ^sp$dXtff$pij(OT_^&zM_cYA|^; zjXjr=Xij?^EZ~9FMS~k)4ZEygGHeTp_8cZ0E14YLSR})Bpv3)qiIIxKW2PLrgv2Ug zY(%ny9R{R#zJbjD{gOe~m{20zy>u>e9-YFRn_@So^`zG2 z7sOt1N2d|KrUNk0S$o=!uqV-}u3%(HM+dq)TY+e36)wYy%}*AlBn@{(>*zw8 zmGBMr$@`T1BnMogH3-X7j?5*>qsdg2nc;3YI^lD2)uS*vZs+uawzF>Ed${UGK2z9x zSw3yLB(tZn6u85#Zz{Ns9}Qx2BzVVc-P2jf(4o6Ul@*OZt7Wtb<{X)g^>1{J$&`cG zFuwlp2ZIejhX{4bfEkWq^na&c_01N(Ig5U8jp{?s>E>REa2AYm!m+7sAApAJK_lmU zmB@p358?VoKP67)N00dpQhVYFuvOw&G(T0TqyS*&+^!XI&T>XWuF)J!){NTj@B6a z&Q-R@mUOkRE(TRGfE}`eO*S9Ww~HgCuu={4zsUNZ{?i8!+=R})RV@%M^uslOc;*k^ z{1MnUZEtgP(y^+hz2OFr!|`!o?`ezy*@2!%CT(o~NX#FpkhA(ilOvvrQNncQ+I_*m zPh-aE%oEDkq{MR{iP`zpOdX6YjI`l7#*tZ3BXO(~2S(zA?RtV~?bDg6R${QWV1Wh} zY|L&Xrpg;N8CcV3qr~i^Y8Jzl`W>Z}&N)ddofEi6silU#dz?I$f}}^ujSfp)shJ-i zb(l93T2{i2w4T(B5iETpE6*Dn2y)<%o@>Wk%#wNBeOxf#NX*?Q%Z-s%Y8Oo_;l;tLl(GU)Ns!b5+;nO#BoA~v$LZj9Q)JgpHS+^p4aAp3#B^+*3uZB zp$yvNbtDW2=0?%OXdGGQgb3qv9fTKB*W`$e>d)9*W5ly#oNva+jijdj@q~+{u57#O z8tYwT3|)6Zz?D_zkw$u+q7ul(EPWK6T`nT2ZRj0$V3e4nz1`Q_3|FVPAW(zL64Yso zEiPPSq>7C#4wr%BSTOU5rEVd6=S*G%;{rXYbSzz&sIW-J3#ncZ9u1W^9-q4t0<{h$ zNBt0+^-Ii6F){0ucw;wGoyM9czL_d8e}v|b$ovtTKg`8Hxo254<%!gkCsI?MNKJVH z23f`rvoNOUkeZ@HnyOY(9XvJ@i4nu-8wtJykjKUXm+?S~}fHg=V5SuC%&ISaclhlypD zg0FctYyyH)cTw97V}2K75n92v;@g(?!tsfT@8f#7%NxaoV{Quq)4{>*=D}XqyZm+t zjb}gXtE?(^bvzNO@om07P2${}2%47Cbgc3o?M$htZ( zw?`dZ&M%x@eP{vFmLYh|6}3=iZ%S(MPStOy6(aret4GSfpQ&(dN0jkE$)1%e5S&RED#B<=IGC8Ii(~QX8VM5^pG9W~aY1ZUbcjdj zWZIw0O`>#Wgo87Q{UH>b^29u8V0UKHMh0zY_`fmrY4=2kDm8|BGpVDameNrf$DCtd zc{=cNXwr_27+4fD>EmH63b@co;e#+XNE3rJMI<~rlhZL; zO^K7fPP97*pQsY+uRp57UMLtn_U2r`+E4{;9jvba0mH`0@Znp+Vu!(qM&J+8N3Nm! zbYdufBep6I?@O<(jVri`Aqoon)kl@6Cnr?dL$91>TEJpTN%P zTzd1Fv#eH*)FOSR^qc|0X>r7z^8^dp5aIW*Lzs#QiF+RjN5`Yhf>zVTMhfLih=6A% zKq#phqgb3JxKU9LXkl?&pPMNXT>fVuh{q~~_ojy}2UO}ZefV10S6KMZK*3dr1!d=1 z(nIm4ij>?pGA0DkSciMNT8yh$!;WC{9(SGZ3ck%fG`M=|Tj(;|4Th}i4H>!j_P1Dr z%=5P5054Q`*Y&KQepIRLcCZ@T(^861MH#K^62Yq2Bibi>(E^Fw{v}{3F4#l3Y6Vb` z_TGIBNTa2^<5w`qb4Q2hQ|{BCkRc3Xu%RP3u-=s%!I8*~ z2e1&_We2u%@%$u-FQF-<f%8>i}GS9Hf`fBkqc9SDYy;KX+mk zuz_R&K^9p zRF9b5yV=OLAR&nJ<|0iVJJHc^H}-<)GO!Xe(CV2U9``?A?1&g5UsulcXcxcqt<*5~ zqBZ;~2T*LwaVmjla)$Akp8eQpSTr1QtHlQEN7S`6xJP5ub443oI${Ug&^RRd1T4ZR z#OQEcLy$Pb!g%?Ty<8BV9m)&8{;FW3-Iy zRft*SqWqyuURxP{Y6DP8zsYvgaJvN!s98FjQR07iLCtrKP%ZfCgW8>c!4eGvfKie5 zO}?Y%%HohP6B3&#&& zJIKI&lom=DmDa~b(c(_Jz=bEx^VTj3=O>^2+>gKT_wRn`8~E>wfBoc@uReL@m3QC# zTl$F{1DEqfj7B;;>#VaQ>=u=Je$C-~aJzzxM8DUiryy{A>CtMF274C(g!# zK>DQP4)qxwN^hKZKlkT9`p&<6@~eORqc?y3$FKi7(QQM)y?|$bup8VcFJo$sK{^(oZ zdhc_;@qc~hYs?@ zH3EVHz#yX|_S!}TXdOqGdFS14|L%Lg@rUod@-=F`_kQzlHH#Eqh{f1t|HXguToAH4 zu#*OA6*wq8lNg6GWfVgMXyrpvs%Zv9Sk_@8v<)3ofl?|kqqOu#Goc}QPSFg2umZXY zYw){QNkqRjfkT5tk-3^IRQMYJtrZMQT1yspuOV)@!oBoUH$n*b30-tTM~7_~p`{AQ zl1{p*BJwm*Y!Inp0yUr=is*+iT7#*4O_ey^&4}=d(VI#0MIZ4ZgUdnny z3k(w=xQ!nmz$xpEMhbVPNCfz^%F6-x6Je>s1eq{NFpzi-%K?JxN(*TZ%*;SFSsVh% zk}1N0!Z#^gHl*0n5mKNz5%?zX5I$7MqJb>XWC8%nAnALhAW9TfJWz!W+pr7> zsOEr3bX(va&0%mRgEG>Ta%2Onf4S@iKwaOZVmhp>HHhL#c6>Z;GDr>s&~50^X_6Jp z23ay`_oEg8X07MZG!&|2ph^v@;HW_uvo?ljD-#WK%F|t(C_{G;X^dr5%SX_m(4P{y z6QX@__cg>cmr5lJ*Gi`ZCW?odNXKq{Mi!3&H8XhnhKMf{g}x#h<`cDzCQ8nYjsWvF zqCqEg!<3?~FzGyJo>#O73lML>=o=skrbOoK4NrzVpjc-Ct-nGx%n~m?n)Jslg7qx+ ziMtREbA{I9kuW{8%3yp%iO&7VPl#GUqCX96FZv(t>&1m7KHKB5@#qI3XT zK)TMTPhj%_=cA+aOB_aM8|Qa4xU7@S8t2+4v1m}H4VjEe`H{t!k&+>Tg53is69&KB9y+LnMo zq0IKItT6Zh(ALv@a7Lvw1Ws}rxT5h%ugh$)#iK(3WTg!Z-0e+kv3edDw~l8p1O(?y zGgMbK?3)AorMA+2+vMvt;G%eB`35~8KWB7s-BW4tZo*>T-XaqQE&rB)AIUDCj8EcO1u(8dj3KdwI~$E#=y~%Stf1y7$DkSp#2Bnk+J2GsrNDq9v@SJ>pq9af ziWMndI31u-H1Yxjl5%{a!j&9ti3*j?a|B(w!7A&!CyrO*$LNvZHMSGACkHxiL{&he zQ$l-lZ;4_#uRhVkAUT+wj;+vOl`j$BMSS8MHoSb1OZAH%1O6>e*$N*WjI#xM{vzgC zFJbIy;bJqq4CcLB6o>&tSGLGO7&Q8L{Me#;yx7^a zANGwn94~)yAjDQ04FtXr^!wI+v0@Le)=U}9j#DmaP%|c6U7jgR6a@o8CL=68bO;LCwbDtjsYtZ~BVMF|@jv#=>O^ASIieHnF8W z&*lf@dGZhqP#<=Tlo-xP-Zr^-k@f$5u)pDaFQ?zb~3%&r8O` zIV~1T1YX-0)uE^^@P1i{5Ns}N8m>mV%-#QxLwFf z$Lm9%9QazVkiYN#?k9ip>Az5atUyQK+tc)8p9$K05wm@Rk;ss$h)z~GPk#N|Pd@pl z>JMPDcXPSr;5h5frYHW0y7}a@|KpRd|B>_Llb@tNtadA^tzryCZP6g87`2JLqtg@Z zqQvgK?|kk@-}=`0jfCcmL_;n+&kDppTyre41DfZCYTQtfKL2~~e&>@<{_soVHWm~=#5W$soEr?#BpL2Atoc({@nYE^Vs2g^VHj{UC0~R72w)>7%fLy+ zZf#N}j`?P!31*%JjM39V>8E2_-%UuqF3=>!X?pXG!9Q}XUEd()4U@3ky~~#c-p3MT zdVD?7rIA0On`U*6A_`KAH(4I*=Q0}Kj#TcFpG`!qvNpomD$N<&5R zOo>xoWjM0pG~w`AB~G1)3In|ii${~R=gJ=Vi6vU;Wk%c8q_@ZC1M|R}kyOn0jJ#Su zz4N#M*L+XNeLssVEOER=opgx#W~g}(`;fxvJc#2ENuFm~>$IT9`O;>g#`~E$V6;UN zSR_}Aq^xsNX(uC}UR{GmqPB#gbpv&LwkPSJ&W;WpZL@IWhfHoWYMMQdkmTQ3UU2yAB2vVow(Q9NI)r?p_91cAw2<>Q1Q-7E$-OI`UnQ{7{ZFDcg@Mq016^2E% z%4p0%5prN}9Xguu!HmXvQQf^}u=?_U_Ta$~E^^{&>6i{xaz}%0%@Xu-1!MygH3XQ; zSllk}Ufb5!cdycsVn;i;2o|(R0j!euYZBkKbcD%)3R5A-+eRlLoZr@H@(qpR z_W4W;6tsl4fi`h>umYbwX8X6bFUd0Hw4i@VK}RM6kTM zVSPykk7;}2HF!H-oW|?`?kp^@)}Hm?h8^SfeEWQ8zH(@Z)8VmLR}dkIpSHpM1a++4 z7T4^M4X01tGDqVnt4i*hFTW*b>3H!5@3-Sk7suq3uysdnBvU-pTZZZ$^YfX>sj+El z*{9>xBoLW(YL~S!*Rd0UW&Y*JJliHC!c~#>$8AvXK&nqg7RH+ zGgoMq%K?W@j_KUArGl11m%(iQ(!4zc9f*OwI-cl{Sgf+{8?4h-?=mDTDV%urF>`r;nepRxQMc zV=f7b)Yc0fI11xv;g4#1eNBQv9Hl1Kyd=4}nAk+uj{GEa7Qwh)($(udi?`q|6B}tD zNNmS`0OddIvFO6C#?;3)NVTm%W7q7+bCYBd4G?x-Uk|LHrzNDf`Z1 zgnXBNy*V`i$95R{k+VqpdXiy7>Sa9W&*EUZ)(LPmn~NRBf#WXH0ZPdmGoz{*6wqKd z6v_{Yv7@^N)SQ$r@O{0$kLn7&spu~)O_^{}awARn8b81`MdQY3ryKChIC8%0$o zVsqZ8o55H6DbY0Gh#xTNq(9X2otw#)lv@`KI3)MeIPmFM+aojet9Y8k$}C0bi`Dtb zj$=j;NFMJF(5YV~>In?V>9VS>Lt7YE=!U^Ua(J)ji+Da~7li_FO?#0SMCsxm|J=mO z5K-`K@+31WNGLz)D=kTrv)8R9MdUZ!9YwQ~kVoomgOh_m7JqD>7%>|&QqcV8MN0;* zEq%;H5`snN9hBUBCl5tTZXqB`3(?5EShMA_TCxmm&t1}Y#tR)Lqd~=r5>DCDV|h{+ z3agh2O0`gkmwfnLhIZgZA(Mcz?y6d?t`-x;(Qq=W@6+K^L8u)zON6c^{pteAKg0M4 zePZnc9DdQ;!g3Q#Bt0-`nWgtW22IB@rl(*J&NV|cxNrGxJ?lZpmuupxFl&aJE_ae}1M{7p} z@T;X{L6LAYHPd39z;o+DbicXRQGJ2#liWuxYq zHfNUcyj99_bHb6`Wt>~*J1AeaL4F70k5ExHDCGnmNP3=*{hiS91Z`*Y($?EA|9Q=@ zB&&FaURa#PIC{h(Da3G6;=Ef|o2&Y?t7ceO_XpO;d_F-B?;=}@b-t;#59i9K&6It=6m(+k zn&3=z^WXW%3K(8PmrV;or=;L~KvP}yExO=tB{JcA&PqLcr@_aLpnQULX`SRCTp64%rS-yZH`}>Q<_XTH~zyVk<8pWk!Eic6V zX5t3xxfH~g72RzrNehVsM-PApo5&Az4eAr#z`b6~jhbxUzW-UAi7-XLgW7B`ZTu0K}9+R1CSYi#reCHX<27G-NJ>UEh{o8fG^ zzr-}g{fR0wEi`M%*qsZ@h^M!+dY8HR&|=)*6;bTY`|8r{i^(ab?yJOekObR9WR<#T z;?&tco`FO|*Ls-6;T}2ds{B}dMyIY7_py#)ID%e_Y;+n#_HWvJm9Mej4=0i7%-@IX zg_6tNliyG6vLz<{9rspxr1lHqc9f<&qo~Ly2+rR#^uS?Q+7T+Wm2E37oa%PTjG_rK zXIoh~o4j1nC93x+_}Y1Qd_haDO$F9E)VNai_WCWyZCB@~c176cZLehx_nNL0D~fTf zJ~}8M>tJK#L=3FyF@1A@kHP`h83rQGT*5UowNF-JuW;KPOsOHxaWsanpXS&FfltMC z3n8mLPj+#qb~M?F?}R2pMAkA_^4aRnlV3KvL>`Zm8Gq&C;iWjDZ$u7MKVdnd_;bHV zar(YsBss3bln2t`BpaV6FID-6O@%gSALy!{HMcXh8M(Nk8*+RSvrqG=e9M9lpfb^5 zQ&O(o40n6^wb2ao_(aX#~F<^M^m;XG8cg7WP zB}H7{%v*@nzk%#cpQ>6@Tz|ExkWm~>!Kl-w$wzFvkw-eANF$n`7@M^Ly+cJmv$6f> zYwdmdx$%A)B!6|{zs<{I8}Q6*O`lvT%yU@NMB^69PLNwl<2am9CpXrYCSO4YFFM>I z8nG}9beE%}Ei>U9=#*WQolCZ7OIqVb^M4Dxkz}xlOr@9Vg=_W5_+D*}0o66mxi;gY zXnE4-in^-y%%)st&*z1P{_9&%{?^x{de9}>5YwYJK^|utd5hzEoVznK{kXWQ^nfT* zw>XINI?eYqmqQeJ%eoX2zTKXzO;Hw#vm|zq5hJj5j&x9`BhM!5yZ4MGWHgu&BjWkc zM6-u}&*14k=|l*XjZTY-G$naEBCVfJ>tnNK-2HTy>p1G_+^urrs5p{kR%T#Qaq%a2 z4V=A$0-a&4k5+!Ro;s_ii4&Eiu0*c3{F$K>>pM42jv{Vu3dR3O;@6F!+1zNX-15U6~nDMYXB}yuv{yo z!AO)cf6YbKQ{T_~-ARY;h_AK2zR)Dwb>}{(gv>K<Lqvpnpj|y)A zX}f6h$*T4Y^s=J<()8Ovxf8^-HI8lIuZu$xn z&-a0OwejsB4&wwT+U)rS73Q{onH5?cy$^Wk`)?&h?AJu(^znPhxNM#N)+} zIwdbIsU5mrm@eY^gG(IVeYG;UjCL4%QM^dz&n>8R`%K^~gk0dq;pAn6`1M~0^y>==?A)ZqZ$2NlX zd)^YP`UsWy$$l=*Z*_Hru(!m<`Iw@g(5W|9f#ZQdHYY+G59U~thJj9sIxfgmIK+-x)I3ysg_apn?m()g zg^xU&Ssg$W!ms#Rif7o5)^m#nXf9dE+sT=_U``i+xwVA~2*b(~0})2g*SVUv&8r&v zDT+l2mOim)L=T;pyJlsMBQ$lPT-2qdXdhtZv=kkf8Kl&QpS#>+yaS*{3pVL2sGRm9 zEIP)X(a4bk+RJSCx=iDZ045Hl<_`i60GMroljXE#3M_Yn_=ukUo6pRXn zg4OadRxn!E^h)OYC7~{={k4)rnkTaF!m#`5vS=WeqQe4yk<#v)N4d=s+w$nr~7q&F6swe+UA?e`WR?uB;@~GZHb%} zI(D{a6#TEO?q4M~7o(<~`i9>CD76S51QLvsTLcvNi z;Of6xf1in$JvFwMuD-W^>9c31M>c2++hQy8h8t<VjYdNwJfMNe)tU4C(hI=#3Qw6r~g1(CJ0aNazF*5qqgPUNR;qoy(bC;@*s| z7k1G&nc_X!6S+88dX%r7;HiHW5L$s7`RSC_T;L6s;J;6ToivN_F*pbxWwjm=UuD&Q z{72t|e#hY9BOxTI9xgid*0+bZHHCCu)z`Nz^rlw>0jG#&ZXCI4*K`eNUT$8Zm8{=W z#33?v8<8v(bD~~HG{M#Db{`n&`%-N38>*7rSYH_xbdE}kKzNxhIV8tteSymoa$t2? z9dAgv?2b^vPb;`jEA44{j;%fwN~a&8JL*;9 zglfwa_1Y%-bg?F2X;GK**mFzOx7B^Ypc{^<`i5!{N7_G)7Qn(j%TvT1Y7oNoA>N=1 zj@DW~gX0m$UmbB`8*`$6zjHUFyeTQyS^V#R`@;wGP<5bVCO2D;}jop1bs*1~*ss~T9Q%Y zC`FFs;`u&G;a58sxq_(weI%oY6A^im{pb70#rGxxM3@)o`zR$6k!Jm-%?kAnYchE> z?P$_xb(9e}jiT?PpW5Y_&Uo@DeS%gA5qe)|J4sa}iHUkMiB%R@LB{bIh|5yd*UdKzCPn%alDv9_g#P{|`(v9AhMWw6agVJ`e6BPs~r z;n%qLAi7s&E2DU)8CT59r zatSUx+*w={M{s<15oR;}#_vbV@AlPpmG3I0GW1g1*1w-9q)!~V3^CW;itA>3&H1;? zm^#BVLUi9gw`_YvIKOl+fgow7h^w8W-E6A<5J6SF$2L_@)wf0X7axmnBpulq$Tfw9 zv%Hwzi$Z3?i}YKm#`dAz5u1;1w|u?TU_&Ns*AC)PB}Vsm@bnJJF|~0&nQ|zjt?}Eb zC&ZNii_i3`HXDmc;>R?Lr$|J7z1s;^3r_h42?6@fT5fj4@jD!y}`f4^xEq=G<+v+!M|35#~bNtBq z7|UBTQT6AhH_sR2ryE93_F=un-yU>CZx9oEv!EbwHJF zOlM*&Otn?o{CYE|>xc!BUIWutbl(lcbTrT!Y`2lL?>foIsEOg~`#Hv>;N^{Zjt>$h zvKtR>Y}M>W(pw=DdFpq)cxKY{Tpyb6m`-n)9W!ZeOpa;hlvn-N=dw#_6o<})lKn^D zoHD*{8z?VCh4yXYWiLF2#4_+kVl?e|;oI$==tj96$bYW42qdjd#!Q!d#$1GUyA@Yf z4T<%k?duB=A5J|Qabj>5>?ru~CE=9NyH|DgR+JKr>dFUOxoWQcCrnz=)_ZETpzPWq zbyUU|Ts3XIEe>`s5H53H3L7T7q&OhpD2hZKJg6>j`>Wnz7OimebXwsefsP+E^4 ziT_zX{)FB{<4>T0m6($vGhwK%eAHoik3Y<}*VB3Y!E*FTCT&< zkNl9KGS^Ils?h~Mve)e@Gl8%!|K4YB*?vbD!||tjBk~f)m2~M zkAMEtpOT4q@wi@k$0cWYzu_qv^6>|nXrJ>Va0X8!o=Fimx;H%7#NvDudQ(RudB~WN znH-a$9zb-K8jf5?x^nAm6y2lN9c7_8C%v)T(#TJ1a!#gqD9ul^L|&jGcYJ`44r7r; zMm||HYQq8U3$xN-@X8A1HR#Tp+dZ!TSGX;4=#}&7+gQ7N+ zg``|)+P8vkTR%$fsqBdJzZ_DnY0*Qq;dKo~(O^@E_xq#r0=Brd&W!$%f`ikJB9N~c z3`Hflxtj91B(?ZuV}P|k9xIDS4R*=Xw^5KhWdd}J#qeJF)PW4JJvKu6xp>V5_C8zF z?^}k0n^bWoNQWIM&J2JK!}rQFTNw-Y5apK)T0WaOHCL$e)bE@2bb?eZ<@1f$+8L5( zKm)!~n0T)!pTFO2866XYLsB*i=ZOo)`C2t^VB);$`%{n-7_X=~_V)B}44y62e_`c^ zO60M}1$z!|(PKM_9uy?z;vrKI^{NzlD;{T=b!^XC;F#wdMcc>t2o`@^D8#T_tA{}6GuWHI!!5SA}w^y^w zaLvC8eo0NGA1C#hfms6I-ZgVxWsCp&pMs!GunP4F=sgDxIc}zndNA7R7c0pEI^V{{ zg`%NR53hN-&j@T$ODcEzNLI}xC45#NR#{COn`1RJ8fMl3(;rZZ`4oub`MIDo{e}k{ z9fp2o(WK3^0D0Xm#D&34w7Gpoq&-QeNzv|JJ0!0DbS8D92!x-UkU`w9c~Oh|=(!~*k_vJUj0S=`vzhfS&=^;R* z$1*q5>c*eQZUXX^JL=K?r@*rz1%LS~D9n|v#n}SVKo_iLY0nr?SY$FwT=CQ=ysGOZMm{ZC$OKRhtSuV#KO3th>R zR}<0kbjr54Z$G1`q1~2{8s#|QyoB#DOOs?O960Gu&*Nf4c~8!KWzcIOTA}nk^xvWF z%xK>|d5QF&V^xtSlT*X*&%+G7-BipTv&!_u8nq(9kjy2g4nq55^;rhN1Vm4S;ejM^ zWgcl|PrsBcKa>l_<=dnHRQ(DYtzk4+alE^9H9W4Vo(nqC64C&Ze|KFyKR;VIGDQA0 zfcomfrZY0eC}2*tK4#@!tC}ISyTEiY*Y{busy5YD=Lx%}161hPIL?oDgZT0*gLWcK z8o=<1arwKvZ1Qr{p13R&=j*Jwb%j1#VlV41%Kj5Qfpp{J%q^@Y|4hrlJ=RT$a#}kM zs?m~CK=6r?rHsHMfD;ZSBBW3f5ToVL8lOk^EzwDvmSIZwxprV~Ys?mHdz+jlSndDB zm0tLwzIQX4XXt&Z_T3ekGC498bIEdL1wi+{r5zX_LYiET*~|U&ik|OGh+~!QnI{P4 zJf?wRLFB9FhdO+A=Qxd=4`y)1oV#Q8YZMXl9htctpGrctU^A`h<=TzFOK=9dvic@7jRpQoW;P9+1OhV(g!49Da0jAKuH%DiDB<b@bjb zKkwHuK4R{yo#1PAf_WYP{W_uDJxEM?=XO8o5%63*XV#^vwF*6!nQqV+l>VhZ{_vpy zSwN=0%dN}1rjMd!E^I-4V!FpozOm2OQ;sD~2M=+^;#1Cw-a#)!liDmaZSaM7>0QLG zJ^t)heOhWe&uC+3LSm=S*5yViO*)}&bv?w0+t3G$?X9PFWdPEp4~4=+ zj8+{X?|Pnf4C;tMvCI!+QV_o@Q8C6G^W4z@8!RsNE!&Mb54n;G^K2XR>`F$n7~^(k zhv;v)XfBLA!!F8(JvIJpMC`TrOqe{de&CoJGfKd)tk2YO$(u4~Qj3ma|BYraoQ{`^ zNP{s`C_sn%Ifx|fSBnX0$zT%q>S^YuHn5KiI&qA}HUpXs^i@!Z@ za0oLU+zs1f`MTKRs36WEREod(5Ar>q+}2oWXByGL3fVc`03E+WZ(BDEx~_1MU968r zbG4opTR!-0t7^lSZzkcMc0%F`tv)_h60fCp3q5&3{Y-LApK&eUAM)S^*c&<)0()V} z3C9=VM`Mm95G$NRRxlz1Czq)n+?`g!@{`et-67pBnw$)iO1|@;5~frzEY8*8@NNrn zqMQ&<0$eN|H;U)y;!Yc*aTykNK3IJhH@JkbehiKC&i2EvjSlCS1Zt`$?7#V^A3o?K zk38>;w~dG|2W;`-(I<2);;S1&6()U&Yku06=UPLwpzA7H;fW8IT_E6Az>m?VO;%2BJd-$mHQsqV!4jiFRVW8A4FgbR&H)gqWR5PWi-WsuAViSr+hou+jMeP1h_lb)n1Vbp>)oN6a4`Tz?-+>eR2}0T=PZd{K1QC zRa3GXMiN6S>m1hH*ct*W#1Z!n?MIJ!-Yt3W6Lt#pm)Rh^KcE#eh?b!6&*jy|$_?jS za>GA-Ci(_EvM35}cl#g8DW*DlEj9#0J>(lk0D7NXf9b@xbN>4`6+CDv_~c{DN8QAG zzvtEnW(ODD3$m-2-o0%xn>K&5vT~i3Uw&&deagmq%T{?g5Q_(50pvyE=AZbe(?A_>C6{Q+Bn|}a z>N0tL`5m#+wR=_0pyFLK4AmV7((R8q?>W)ckqwp7j$V7H* zGlMr41~VemIen6LEdlapyr0kC0Du?_15em{F*V`_@GCOBs)_S$j(n>Em~2&-7@jc3$r9l zW~YzYj0Q5EElIXS;KvDzeYvGuO?y3E}2M|5gszp~9MMeBS%js1Qjc+zgthZv_iozn?SYwh#= zBv7|CWTsWihozcH6sZ-CIhH|VF0Bz20zRMz!gFtD z^B=a{Hu4v7pCFg@Dvfo6i?fKMZm_ndVay2b>S(~C=4RVmu6#+n5P;-k;6K^zrXnuZ zE^BC~`N$ZfNtuW+LB|FSC@wEoP>u~2o$Z_q!H?1b7)p+7-#fDP}`n=Py=iMFgK{7?qZQ&q@ z|KZae^cO+jv2a5YjW;lTNKGHo4%pQ$wRzXM$8k4(pX2FQ8c&%nP8$yw%)}>+6WP|l z26Mv2-y}`$@%_&5omrWX>`*7+<~KM1a>zh};Y39q_jzaDIs09S|Kqy5(*rbz zOaDl?O0#bT(Z}^}rk_z;I7%u>LenjPfD0hfF6{o~!w1PP@#_J1yHo$=xtG4f6k#%g ztbN=cEYEtfhgV-L2ZzHij%&uBNEmZ()we!EPkpwY7OSj<+Iln(3j)a-@)!(>qUL)^ zl-M3mR0)C}_hYfn82OCPaRhYIxdANZ36xSE<)c_^`}JJ{o9xh*)wZu}P?90v1tFz# zFAV*}4rnUBSNXVILjvsE_7s?z5HbuWVG6$hD*dCjC8Z1}#Ma<8g~29nN*EIoE(&}f zcNZNgZ)+EaQ`WT1G0X?k5w?U7VMv4%yUPeih#%r0c|c{K@iCehcDF2WV{hp&MPZED zcrXUKb)hnOa5DynKum^n%$9ov2kC|Q;E8Jo84hI487yZD}!q{5Nh~ zaA}E!2BtB^=0Jpxg5q>7)kvl|udrUF@1A0yGm12FmLdM}_*V6RXSgPr%!3Y}G|DOk zGl9!{7*(dV^1cFgNXQ12s2xa&OJA5BYu$7(*~PP`0oz=Tos@NhU| zviD$?yz?c#zlZ|}2XlQq&IP2cQ{k@lU@pnWX;l{)cC zXHoS&q4q&@mier7-$iMVsF>Q0O$XlUm`HeM-eD_Kw&=Iddfbxm;& zd-?u}8QsTy2>}co6EIa2Xi@XaNR{9_s(4x@8W(cJ|NL&p z{GrMqEy~(?*or2C(UW0PN?j8kHWMuVAtuMf%JM`%7xHjxF%b*h4LjHhds|nH06eiQ zP{%eQ?Zj^?hog_FwyhV>-lYib7D@~9k*&G>;SaaX( zGQK#QbR`rqgrxp!NHYI9k^X!y#I?4#V9nE5s0f>7CD|=UBm(V~{@asCnW@S31IJHD zqB%o>&yVW-Y;SOt9a?!t?}F>yD1aLJYe+HDlYdL;fHe_x+8C1;g^T|c6L)5aZYCZg z1oM!IwL9x^Vi1aWTy#cDk3al{#w#>s#$3G}iN^l_*T;)K3jSzSConpb|J>U4YW~Fk z@b}^wGYKJPR6@VjpFRpLE(IrDLcZ&cMo$3Wx6M#pKJ>cknbbZCDhRF^K@5?fj`>~B zCp|*+r_+C8N-qA-p9(0Xk6ceBN<9iDG2*_2o2ULXbUpHjTM_p!gu!AGpiXdN|9%*~ z!Sy{xgOELGodnSJkY)#GBDViucV`cd$Ez;qE4T0^+}z}XHaAR$gm7*7B~!gw~K zfA}Zg19mKzAF+({3+-i+kIE#AX!F<1z`5cSfl?G|T#g&*joDX<^pX(|ZbiIB`H-pm zBvQzf5Bl2OHhZ^yyMqnU< zk99`dn_?=n5bi!nfAkU;*#S{m-LN5~R z*r7PnZkqC;qVE>6#^~sy)v&&T(38VMIcLp!$5^J12Cdrn9l9O+ zqbgxnMVvgwUE*x`u^1gj8feq|PK~+*fx?z-VqFcjkCl8UjAez4S%pTt)Qfym z#nUSOP(?RLp2?DObnylv!b^6mu0}Agakz>llQWKEH}IkeGoFrWghLJ4&CqrVNPPV| z46sO2Q^nURF%Qd4(eFVG{ut>TqGL{AOY*F)PBNSRZR#(7wdKoSzeiji zvsy3Edg-X12I-C03%8;h(*P%R!cME`PB4ukG8-jO9{8Sv$Uotf2XFeO2HE!X9WgbgFC5H1|UszhJZ3G(5H0Hix`d=PM%oue0X7 zcs^Ju)NOnHg0cK)Jws~7pVp~nY!Ck=%0bQqr-HS*s|(5L${f1InyMD#y$FY3Q#dV} zolp#xlG({nl;89-hQriXQ=2GmC)_Y%+=Yv){Am$jKQHDRwI<1wI`Ut0Wf@;QU+vziZ! zvvu@G{~tgyISR_=-J+>^ipT^3tCQLs8m%nzsF23-6l4gZS?b-#zav&0p_!&wagHwu zXh-xq*^^CE`s4H0AkB@?qh?TeaU3{PN&{9@u=K)v2v49N$5W9z_IR(4$;=`3D0A_F zWF);OlJmpmyU{E)U5rb4O0JVaB{N+Rjzrtoj12?c%c(jfxVz!f|M)YLs@fz8y68X6 zsh~d?ff*$?(A5OXp0YQaC?V^E^|3fI-v?92F1BBOcg&lj(Nvqe97|F=41raML2R;ja_VG?57(vynnMSE(4Dh{vVkBSwDkB*Em)}{Z zFTbnvDeEZHqazLdz|IxppI@>?T{Sd8TnV3pv;Q95OV00^9dO3Ob@h^C@QXkD;}0Ls z1wmPcZEerDwYntP#3QADnZ~v@T)@oUgFB6~zyOM!_zPVB^v*vK21g@#nzOk6)8aHQ z?Aw>@%!m&YDD>QxJG444R_FAD@4i***idnl3jk#U=AM@9=#te)dT^Ho1h^O)5b(s`8#@?pKY_Fu~|))Kp&-4u@PvORZI8Rb$8~?lupYi^Jb)`)9X^} z)o=p_91$tX^h(3IM*O_nE;DJ>SL_+8;$;Sn+GJH3jD+{=VO`ZY-+A<_;+W@~=Fyy) z(M`%|wT{SqT&BkG^-UY;oD-5c>^Cj8YS#;eN!aDj;*?=s@(qq#dZ65lhAyH94I&%& z&*2GsY{YAIR^?wC$5snisrZDo_79f)t4|ffAC9w-Qz9ptsprR0;QAh4z+5PS4Cjo} z9~c^%{;==Li0Df8cW#ques9C3cLBt2m)lfJ-(C0+exGmSmu7 zUlL=0z#Sw(l+q^Z2LnOphXs!6*5(_z&%_)~EX{fHE&B2TwiMV?smF^sOuXS+Z`4GS zml+W+;~;b-m^t+v5(<45WlS;?itpR9rO`eNp|$!N6zT~vH~fJCAg7ivl97`H45W4a zkgr3_Ksdwb=zV@-Hq`AtlZ1O`7I!_*_vmxw1devva0-RnGNaqR4AG6^)MW;iFmU^F zjH%x23ry{vs8x0vIWe7fAQ(ktlPBEtd@|zFbJBN0Kc?v=4HBUhb_|hHXXZ}dL6!0o zFfC?$a*zzgz|~D*U90WYH0lRo9Hg!tdSR@*=$TJy#R12U9|v(1lNi=Z%woRGAVbu_ zkuzgboXGdwD6$j!D1t&Fbff@7@RQUb0qFO!m-u$#Goso~6839xY#Z(PHXBw9tzUu@ znK-E6G5po`mySO#u3ZeG1OsLUYKgEl3lX&GVQ}D+{jq0Y8Zz&l7dyh2=m+iYxTImC zhYmMGw$B?VbcYPCo%%9PyVAs=#*22_I(~ucF7zIwSf?!m#>u2KlK}<)5g#HH3GWNN^ zC#`q9wYj=O=^XnRFz| z+)vmpL$?oE*)rp1=wlG*SQMqYJ8a3O$S=DC$MLZmv#++Vg$7UkBc>Um2_ZFGB!(E(j{hJP0)fu}w|cN&WxI?9@mUlh_J0gDkG`jeKF1 z_{-$FBaWy#H*Sj0bT~KeafI^OLaBsEZZqrDr@;Rdx>!*-uRI)!cIa4tW>I2`7zi&x zrmEP!Xcq`i)?yI?tUY>07oIy+pg#qSB@I}|gH+~4wx-?eO5d**E(5fM(a@m7OwCM^zM&LM zHvv?*LMr$Lm{}ZGeDW0Zp{-W-pdaC+wqpVvC(PgMNJ8ifQy@QPD)<*-{n5xS;LZ`m zwJ@~zm1N-+teO^!=!C7f6CBu~Mf&bIghvpRYre}%4r*pvrAPdc1+y3Hxw@XG^z_G2yOKAG?i*0_GUttUjeFiD70|~kE*UohNrt+rC(P< zBRXf^O&4P6w(|}Bz)l+7sL6FEope7rV5raZhvcZ6Q1Fr*;Lv0mNNDT*^vGIO`5BAhKDH3sCQ60@wJNc2 zUh}PB{DD18#C;!b&oj>_#2LEe#fB?{!xDr)Ok$6*#s-LD*yg2me&yIWAdal7M$9Pe zPzi^un*4ppFjqAnZMzGB`i!QIhVsC_Lbv+dWE%{Wp6A?xqd6-w#3Ns$RNY zSsS8SUZ6cpkm*R68b0{d$eatu_K;q)4L4BXok8Xdx%QAUNu(OQ#l{mmo zCJN=jh`b(~E^BF&5G$IZb!zzV{Y9bg64$ob@o5^JEp8z}M+1AI+9FFlJF`-L+*bo8 z-Vyg~E-|a`tOj{@B!K=VlXzw*t21;$852)b+xx_X@2l3@?6TDea}?*$%F1bz8pG1L zc1@gt7n}|G6wPf)+EH*$|C_c?2SDcvLmP7Oz-_tVZ9;12rV9cUZCv zLfhG1UrIH7Budcd@b;pCtP^Bz(4Xd z%;{?J4JVSCe+~?^I~94oet^QeU0YH52~6BrggiYe;9tMwzkP&iMW8nh;iA`Ksh`dX zN9N=3I77E>PlBZ9h2J)yfAX`RJWY6{R)2S%*qgb-gF6|*eTF-U=Z5BX8D(Se#GXF( z{CJd#!3#s&;1eo0&M0E9cb)K#zfBOl zpVGOTPG{s^1Xe}fESZj*B<`#`!=uWO=Y0Iuk!tRVv7d}b2lXkH|Be2oswHWBZDZ3~ zSO`Q1v5!t%ZFlYh!Pu&@fqtP8g^E$1Q{WteZLqHre7mv(7;;;&=a#OZMRT`kH?Id73%!J06)k! zQ3z!UJcZ_(uQGkpeWhGm+9qL^Ixs^*gzoM~ViYR#i-hXn6cwxRxFEwusA?_)n$FG= zD6}Qo387}hCs|@WB1uBw`Kk*u;sz{&B-T>AQ*amcUv`YAwxcb0bS$wM+~SG-g5hk~ z8kqPCvpO(4uQUJ z7N>$VdlRb(3`__*;aI1G9WGr^!N`{}{*AeV0&27*!bD#gv=c_v{<0YbTe@>9!7`NE z-ZGMZ>7_uN$WhA9oB!TAko&@_S_sYn?Pj+sZqp1H=eB*2%z>$wy##K zHvFdf-RrEB@K5?5OM2?OuyW#)LNK(Nny;e!ePLz03Req;gClUCg9Kxd&uArM1S#m8 zzx*YGPsH9*SmMP|;v>jSbh@dmV^tMru)kjHUiLO$k%}Wo;FuGmvtg&}#IZx1c4+E{ zw#Cf?Ay9>FW|jQ%yW`>o)nBf!U;eV$U)cf{KhDseC6c3Pk8_Lo(82@q7h~C7ul1EI z*|*S7_icpG`&Ax5AaR@JR;=|^9p#b^fOp@4=6_YZ6O7XlG1nL~8)zKb)yA=EK z%U?gUD1Bs%hc*4EaenVP(bp?^M^CCFqc(7SE)Lfd71Z{%BB*%wS{w@q#`FUxtnaa4 zwkdMG#Yqc6uoYVar=+eh7D(TjR_K1q=OdE#DWYNwMT>3-k;>YC`RgP8hc29HlKaXc z!wA8|I(x|uU;YyP$ErGlsX4m3XFO5!)A{#K+yn-RV32G=brPUA>&!_YO$c&escT&9 z^%4vYb@jf8MBarz*D|JVr zOX{TQnBJcg&P`wh#2#ai-FhfD#co>=p1I6(3nQiR{2;pUGqgPFrRca_?MtlaL$>gl zj}2nV;c9K#6|=?Et=J3&ZO9gv1Zed1?*oZT-qT~`u(-h01F?v90x%PeTr0jY5i`5Y z`*@&5IutlC8B8{z)1I@PfhBVp2HnTrXD28v1UxA=M0Q!{BDZxwa}ZfkmXF)G_zXgX z!S>?SPH!d`nn7rH0?J+>8AcqDp~@4r#yXikgv12V-d+l+V#d?A95Uwy^y|Fv0~#mk$GD-PfrBPG=I$&D5nZgaW{-s!$CP$?hG5xhBDLv! z4?_(c!L?ZNDt?1D`j+iSeK(UdT211-9oY&*$9W#}23jid$#WEo)CNv$1qkK!buu*r zpR8Zt%Fh=+{P7rT;l|(I$SyZN_x*E=GeT&wtMi$UmVC9x5v%C$%t0mi_?G5bf;P)r zJE9w`_~D9$(sgNr?@5Ict^Weq6l-Ub<2qMjfz?zvdRtn4i>$Od5Jd?O>ZnN)P}du% zMSbkQ)p<*cXZZanew?0s-V&edo|->UOQv~ip37@T(49x)^NkoC2?tWaLNHM}jydBA zfgH&6p^XWL;idX!0=GyiPJJa6_M}GPmuSWubC$8OYtT)=+~WI;Rw>D2Zisngzht55 ziA5t~ec&J#?uLn9wub+AC)0DnK&iz&wRl90{uO2~?b=#k8*<~a%=xTWL%;kuaeGRk zyg(!)O3CdY`(^Q9nenC7(2L|DBpt`B+K`TRDlMKcR9&{}>3p9a!S17hUc%I=13mx2 zx{dEs3p~#gYDrIRv(+lfTIQMS=*4`X@+>4dNe-cUd+p~T z38B|Y7WR(P-^ZOz^=@`h81U=ifWWmqM94;6e0-Jd#V%TB1;K6XizUAKi5(|t5Kh9H z4FCix@eITE)aiMl(`3zHWepU8e3K@gJBf0ZsA8!)7^ZpoZcURq6|o;f$(#f_$6dY2 z);0jr7fVAfz}hH^!$sJ~3vnZGx83W8yg62c zuCW3~6QPA^9Hfh6h?wqqIRv@V){vLEaz*Ola!v!^U5pm_q(NCsFZp?>0YNXsVK6z# zlZWFfl@~Z|qR0!Uhql}I5U1#?WQwYe>xz{mJ^-9g7~(oUng;}hJ2O^l*fnI)FvT*N zoWcgG0~Nb8PeU-or3>%I5{X=KSL@-pzS2htSaIz*h*FPd>j2@^uSmXKWR1zUDJ#S9 zFpi@%<{8>o8rEXZcN0HU>e>h6BPVcpR1THCvSEBz#}qf2e=fN9OHgoJofwV$3Zr$XrZt9K0j29s&1KevQ{L1^UO~FByS-x(!@5aYNlnfh{#;gLNY3* z;9W7>%}S=F2E{C^?-YzQIpw{ulD>|+~Y;Qe5S;SaXBOg=wXHc5`D4G1Q=pm(W zr{!Yp)36;480>2HCPdZ}hqNCSCQgUx1lL#oBZlUWn0ZSuggJ0IurhgsBAKaD?`r^@KM(9CEpHl@LHB6S=)}42)-0l4zY2UdB z44}Uns{i}Hk07EKJPw={mP1xn7DHEg6r0qQF?|xJVo1d2C3vjp`bI8gj5RUFvV!B?kgcBeF+>4 zf7YUFYaX1k+KOHA8|Rdm(gcO6m2wy@qaXTo#NuguEY5GrTYnkMTlH+i5sClE>zk3@ zncHE|+WOiAZgapP=XFX_M;zSDEBBt@qC!2d3*rmka(OhL)3Q2Pe;NK@=@+|Jg6d?P z(K4L3mGsEB6;xHef)yeIK(4&o+PJj!F*|fa<9i@I)*cPYbJQL7Vy#+2%HB++_i!rn zBMxOIGuGwmVX~}eoarTm?_IlP%3)cpF=lwyD0LNiw>ns7>#*L_Yv6cikj}lvWhRRz z%ht4Wo|Ur>7p^%L%Iv}r;#`@V-Yi|u>rMA7350u}z0>lB!HKjfOX^fzx`pH3w&(Y| zZAG>F`t^k~Evw9Rxp2%0aZv-hGB>$dI$qE*SN7-oV;h$?BMWfAn32huan{2Zr!2&@ zzfY7VCMB(~^+`V~uZ(sT=i3Y#4+H;ey1X$D?sB+l^Eo*A0CE?a#JHTC!iSAv0j z;N32oGFxGwr7?Ex@Nr|ujMGU7IX#D2cPAzfpu-ADh`^})ojoPN8m+LTyZd_4@1I6>EHs8O+ zALwJ03JwdD@1bJzOje4HM6lod*rS>AsnyupB{!19Tz~W_tcEEWg6)ZeRUm;wu)_-oggDsD#gaY|m@D$}tt+CYQXQ`r8Jo$PRtp9_4RQ+Bpny zNltAy{uCt4QtgJzFvMER85UtRiZUDf-3J%@M|uNU9}hTzo^GflpPb~AM^vR{5XCbp zsW+w)E~Cd(-1HOEVB+!$y)hMc89{aaRw|y$H12#7PbYoxmrj&UsU#1mcs`i&DOA2h z;gpI$e4tdq$5evwlf%H0WfC}3zJ&g4MCpu*7#JMacA`(NPyc3dcZjA`Qh(N$_%0RC zb{KT>$xq1_?B3~!yf_$BiEd_Es1UsvGwsMsLlloD>jfXU>6D7!QTccKV@mu3D&7;! z0wJkMJO2QaQEnkoF$7WS#2V-pXQs=tx3(k{gD%PyoBHbWyQAN~JZIa`Kz7}eu%vYG z2&Kf}Yv}i@spExy)W5iexYTRY!u=;F7_nK!Up8IV(nI}*%kI=C~kfxhA^1{yFR zz98JIM-o0tDDoj$*A(08 zMu8$%3}en~dJ0605)0f=$9>5)?qhIapgU@4^AMC+DbZj!WXTiGD1ya5|F?e6a2oM@ z762l3EW_z0S+xnZKlAs$tSMyC$sH#;U#~xZQ@Bjn%UNA!wXx4X(`J@Tch@HqZ`X%I zM$5hg7I-(M zEm+#c+gHeieE`{P4-An(u6Vk(jX4zF=W>$Du(6u%1#b1RKaS?vIV;Zd!!9OH*TrLg zVf-KTsP;sdkgJS-Og0v>>awJI$n1n!Q^!Dgrv0pNvPld{exk1j6NPR|CX{0517`qg znKcqAYztjfAtV?3cXq8bd12~cHu%ZXtPGUwM7yyxIf$>39ln6}tt4LyCXHso!PU3>W^ zhBguA7!ZSucpOOjxeX3#MtU_Cufy%Jg$`Fji6xI64Ai3)eSm_Rpt{iHFjksM@Civo)e%X;Z7 zgQYVj#35r+Bvn+lc@^b#V9J=6qm~xOYP-r9%aDCLtxeTTX>6K67-B=CxWlKO7kWoh@ev}2AdIavm)WlsJ{02Qc^1Dn(e73O781dCsPc^d z{k>15Z$s=>@mN5Fh!&7PgR=EvL5gn1y&w=m3R#thtR&nnKz7dzh=h==7a1Y6D?@ilpHI@BtWRCn?eS!NWN35T_rD> zmh`6pT1xW{-qigDZVQI*fpSH6Fu-ud<99|!JZh-_-b65t2+YZccQKZ z%~afZEx_^49I2|qZ+g(Pn}W*l5yg2ACqQG}#m870`slujSKX|w0cA|BQmYcHPbB3B z719wCOt&0kK^o(s&1$)~2wkpmBUL!J2R!J$cJ6|F`4ecYdyMN_8W88AStZw?opG&= z2IS1()b96hQpO#i(?-OC`<8WS$+Oix#)BH!6XgBQldu%#YE=E{=(X8kI zcorH7p3i8bZruBt^0M9=S_PN`=K4dx302?nD1rEha&ry@{G~ma*LudrK>M5xp8O09y z5?q~{7@IVZ2-OLJAx3$Kp&4Ry5`}SPe!e;S>YdK~BP|QV*MZR;hrBV5`52*$%fsU^+l_ z3KSkkJay4>U6dKI(7eP^hZrhFjhrl_?)HcJk#VsV?`;NqM{2x>_^vQp(`YH9KWHQW z{onfV;Yyv~?97)6gdr5y46m&Xru;@W|5_vCF)-ZP3qb>D+5`5ZMB!oHbL}bg%IuBV z>DY@6oxve@NJn_LSS8a|SkGClIJ>SSCL(rRv#M>aRXF#&BsgVMzpW7yXR`Nv2aj8 zX%UP9w6h}ia(0~&_Lj^?*b}C%K%d+E-G7}=4q*hlztxGC0n}UrV*XBLA30Yd&0m#6P}YwpTGNacjy0j-HS>kuca7OZSzSk_og5O;Bc~ zxfyKW^P%04jcI5VS6s??TasqdW6aZ=S=pUStSCIR`nHD$gp*`M7}6RIg>slp$@4TGnM42+ACkjQXCfki==j?Quwutol%P2kkp6Rg+C1271i|Qud)-#1 zN&I-7Z)8TDV+MAd&22Z5la=EpzMWNOWbX;nUzquSh$F*0P104bt=fXT#yDRr=AtO< zL)}>Up~8TA)RB%X&f!lX@kB?{>R=JRQ4U(s^3{=L(5XfJlPDlIeVg+6P9d=%T_!y- zH%)0IDJdlK%>p_nvj!7HggU9 zvn{FGFj=(TH?y$@36HIT9`o1WPQoaTvq`^Yg3k{|jqHB_5)iK*Y@X5Rdr~+VqXO@)=C!dpW_oGrX=S ztwNR&{obx|m_yDM^|F%=W`~Ap!yiu_U;iYgq$xgQ?(z)=!JH<{Ybr+ai*;!0)9#7` zZoTL7I@k9X1=vHtq@FT^HBaqXBXt#RFFT&^bGhjXa%JJnGyTqGK@&6eN2_DS&8mwuZK1RH7Z~Cp@%=+|@gXCirJWynT#JTM?3ygo zB&(XB<+@N5Ed!=yo6tNz!V=Ex*wcje3%S4>S`Rv;5_|ZF(c46lB%*JIT0WJ0i7;Fk z2LdTI{{5t{gJ>X?D$q~`327le71Pfi|Gs4$rDW}jeS1;?GrFmUZkfOBK8`hx1MQWI zbA^t>=oV#p%1o!6ex&ro*53|<>A?^bsp%FmaWf%_WMHYnJbl25d$Yr$AV8qkYz7aXkY9m;;tB{ zM-_OjLh?sQVZmE>qmY=s_B!9x#ad#en84_qV;ddpE|n)rhk_FBFwa6@Jb4AX2Eu-q ztrMjZ>3{@|GUR;UK&{wZiS;6KIP@}HaSjW)X#fp@nW=VsCbjm*YqPW4y-2t$NM#jzcI4Auyc7s-&tXbjCWTW$iV^eM%G&%g!yY5NY4hbTD(hSw zzWh!fv+FN^bzB!GG=vSC2#$QRIRBhT_j#jWt2mONnAL(ehB@WShuu{2NRw4|=X1y3 zjj9aUqO$YP{qGAC2`+HJ=ul&ud?D&#E}|HY;)-77FF4$d_cbn_1?~y7LN6mieKQe@jD*VvXQ;)| z%$lsLihdC#HTW$9{wqS`=wcJ)pD048x^Ih@hA8jvx5ABG z@$pqq^49j@x!?s3?FrZXdxi6+wLU&)$3wMw`nDST?6qok)<>wDM3S`D*K?(xeItP_ zEmQ*Mcc*yMuC{ds0ct4!e0sJ%9{8MpuAaWJ&JnV#VZ$vaA6MJb!@0WP6X<$nVS30P zkL!SQ*|=OIE&#M+{u(R#a4IFg8GY1PsZ#&%(@B6-?4w2R7AvPx^1u8${~2VQ68Zz= zv%|RGvw6SUf|%}m!eH+GW$^%fD!<>D-;%q%IX~-5za&@5P;@B{hMBjgh zzn}AbflYe+^4od?5q?L|9`hZ6?;)2H41so#vzfMLT|%1PELLrK-Rs3Nsj}i@GIkm^ z;=WawT?_`D zlbVp7_FccmHTK!DrR+8vP~GNralibvYR_MOXLFo)2XwDe-4@NIc-dn^Y^L4f(S`HB z=h-ua8Tv~x308)abUFsQK;f!eQ98p8Ip1rnKGF)@)T>Edn&XSNY}!sk8!``oN0W1h zeA8m#VBO3+N67_$R{i8JJxu?9$aTuNy_z}sUW=-2Ed5);0Q%25X`HYL8h~=%L5hQv zjFwMeN4fC%TGX7MY$gNo?H8t}PYHXUhRn)<}CKkc(i9AL9E6I>SrqjS5V9#>OJ)Q}W&bV)n^* z>??hY37VgV(X>>AQiKR~(dO0fOWmQB3N3d;Yd${zX%RRq1b=zanQ^%0VgeJ%l3r5~bSnyWJ-!P7)BZWhi!M76bA>4E%SB{ZIdNzamZ0sJvk5 ztK}%*TarJ!_T?s~m)Vr{oxc*#1#Fh$*jOLsE505?){~Zy#|_Ue$CyB463mcGpK=PX zl9DpNOGjuif!i1hsG}p9a+#ir5tIzA1kX2)K~%#N9z^L<8r zyrFl*oA^B))W~2Aq*L7lZ3hvLW&D|{L?XtYh)K+2Ka-) zibp}A+06>@M+x%L&mXCe7R7Pxmm9F0p-vx;d@>4(&2I81V;{deVu`~3@)1K}$Oyb? zSAQ^Ki2~{Jfp2yh;V(o;{OL6#9pylqwVY7Pk;RER`SYTH0Ao}s(xQS-u0Gi)$1|#w z-BjsA9nz9Qz?h9SQV?20l|CGI_PSSs0%rsp@rLepdE7rzM3$3@oY0gr>2Cj{v6mnK zSL8%y!-hWkq(XC0gq9RL6BrevW#0SyAPezCNMb7EF!bT)<~+xqXi278>kZ@cBNiBv zGHTf9aA0;(_+eMG98L<5*cqhxR2@HADUJ#vOV=@Q#ZxUT`J~AZ8j^goc~jj^K2}MV z6o{n2tdjyQ82BbDMvXF4QannU?7g2@fCXMk3ra>o$q!u%6yB7QlmJOUw!aRN zd~aH%PaH;kL(>28_ar!dJjD%CT^lQ6pUhohiKR9O4x!`NA z%5a_o{w!zpb=D!ya29dsAlST)&aNIO zhd9tXt&VRbc;Qfkws%$_%i?%93{sUFbx+2uuF4wgtTpK(BHNt$3w+YyRM`$)=1Oql zB&$Dkwm1`Ol;Jzo&Ta(+T7U$?-pMEi+camYb80>}rz*ZEAm?vw`m*PT76sPbIAsehz&bI2EQzCm9Un(`!Hr3TAa z1b#+7Z%|UIBD>}}+x!ZjUR_^!=P6C|#9)&AndBeTWQ>eA5SYKUyOS~CUO3M_DCz)r zep7Qbn>7}=&N`}!g1uj!TQXMBJac3Y6(DF96@{%xFCH>`0gd$9HXW~jYkzXRf_wU} z{Iq2uph2mO7NU-cS;tfTGA=%99^4Ahed|kZS;c74JFWBFtmbd|Z?0W7E{*JnYHw}r z2C}$73g3~`Fk%VDA|tqhP6yYveGVO>ueO!3K=O8cC%c9pr+IoKL3dFo5+W_(fB$W< zoDA^|k>c=}^0X!LsTbV@2zahz$E(c^Jk;#=3av(+)K5|^*mC*s{(*Q)= zqYNE3kv>stnW=0Z(UCDZNgU7l-rRtWnTDh>w8ZBSi8On3jF^##Lohsm2_bL-#NDBp zeT)+6=_-PVMsxky?Fl#Y z`I2Msn^)rfjH}H)$6EZeP}5Jvd*Ze~K%5oq)on%z1X^Y^RC$z1&898tnlIJa0dIJ2 z*QffG=774Udte5D$1x;B{x)JlZVOqgcpzmQn6k0U4@FPL%`Avu65cTMh(8Ek(QV-Wfrts-28^$&iGU|pIQ_d|7g z-LpKV_Uw8PfcHA~UpvGNkfZzje7QYP*6nj!(+TWQU#c3ehj5#F=Q#K@yg21)@>}LaAgm&&Y zH}$3$D^WeRcO^*2ghK%yoh2fb93c&Lm@?FvGKkVnmxg4mbu}5o_P{1eCd^R^ZyzmB zjB?Lmv}#-;T}{|?MJ*bG2$zYg;wM4mb1h$T(xC)!jvYhVz!V(-$#qt;`@p0XJpmBz zDRZqrat2Pm-BK%BWMzloA#bYlrcW^#yP~InO*_{LC2vS4+arLD0jk*KWj7WZjd_LJ z_9=tu>bh1Wc_TLZ1T$v@L-!{|22`XgLC;n!*VpLusr3 z6em_9nUi5RL(o_aCtZV1Yb-i3TAKt`D!IW7)WSAuX<2UIoVzJFfD@!3Cdt$&C^Nd8 z+K`E$>>WV{g1VP23-a-pE>{&mWJ0tdlfmM*cJ{>1*%N4s?*Imd&N5+Qd7^J*6sqw< zaDsk^QmhZ)t93C1Ax45m4k!YW4GaKZ`n+N;2U?Zd=_8-Y>`UepnL_{xNanyn3}6Re zc^iuz{njEh1%%~AJAIs+N@DfTBHANGQV7yiaGa6#_YI)9fbZ3Udc3$L)CF;FEWLmz z)Te+tQ8W<|sQ^HrYHWa%x5gHDL#aFM4(|!*`l6Dcn**x~J3U@Nbmakg-tg5JR2L>s*nSinWWS_9`-$(D|-4W+d({GWj8FUsd- z4g>bcyi;XGW3EIh%6$}OmM@Ct0~mh;au!{Xo@~gINge>yJkeV2i+1^*1K-wy7nTdH ziF@YKh$rI_=o+Sh<%@dxK569(yjB79dJ+PTVC+gymXmgtw#eC?7t`nf#jcRuY~NPEuD)c4GGW8;W}YYPcrMOSS~b{R(4 zB?oG7oGd%vZYx|n+bx+hd&Xyndo-x*81lL{1_j(K&m8y+Wn z&`*#cwN48_Ip&@GrzvPW|7#*c4MPq~eGw;@UXaCdR`$MP70mxr4<1etCsrJIEF@kl_yfEO#<3Iwb?>S3$ZUdZk3SgY2fR z*c&C(NV_nzL@4_Ck#>hC4dr{WAMn|CkGcX9QOx(4p@#}g5F!Hl^jChy2kXyOgVxk6 z8j92H^j(e;WCUZEit$F2EB@H^f#|v^DzdSui0|zEM0}8}w0z%erXd zq(QwxpZor=BESoOs)T^ATAs3@kbm|SkZpI+4WUQFWPs^)W5Ma-*F@?kH&kjZ*EA;)f0?Nfqb3TFF2BDV*R>OPOFd0X{u;3_ z3hlYx<4;<@m+JEW{I*_eCUohU{g4GFidG_T6}~608gz~Zgo`g%xn4$w^zarj0$hzx z9X>ybWd5UbVA{(8;R-xgQ#r${kpUnzKK2;(m^~W#K5YXNN#>(U!cR3(w(vq?poUH1 zw*uc!XN?@dw+wdsg?A(>D)Hv;NTHu3v!ZW%Ojj$-wc2g9c4fK9$o_o&7ZzX-%e24833OImQfWfn`iM{okv__@i0*y4tbT^5BwORGi7EbZ^$G*ss%f-Jh0OU+Tq{i@P{1IXJboZ zl|FUN^nvCe0V0w#h|YtgRsB)Ai^~aa@`clU;@a?l#AAtx&gq#sqiIgnFgmfc0H-sv z`DV6wnk{8Tov7VV(ZI|H+RzPehp9X(;mwu~a_hH0r+n!0RObuLeCZ?~4aD2`P4Oy& zg{};5a%4jenG=&jGMyzdr=5S>i@u}y6;y9{(2VFN=WN^(1xvYFNezL77{?#w5(g30 zBQ+mpe5H%YP2SKM$&7{V{kdTLd5oK<=A-1BEG?0d&l8{aneInApE)D_*vOahtlX7| zF05p+_di#x9V9*WeJX7FK zG9k>6TCnW_#omtH&iOp6|H(%#i3X)8oo#+;^FL(9XJkg7sr~>jJgNI-24`ZxvJJ4L zF6D`RV;TCd0LJ@i4Ju1lF6Vgn5uvpEDWS9<%a*F$d48DaMA_t#A1Tp(Fx0m>3jR`A zjBW5fQjr1X(bjt4gN`G!wEUnDrYX$U;|grcK1_JVQAgVJ%dH zWSZA!pc4X^hoz3ht090vMXDESsc@VWRIX2Tmg*~S6yypw;SL3 z^Pm3E`1k@KEoP9sBV^GQV+G{2vz>v-eys6$cx5Y6q4BGLXLh2Qd;xdrBkkhl#v((t z;eh^+h4^=ca248ogzFTm0b8tO>R@?lgtgGAI#k-XqFmb0fo&_Ir#Nq@^f{>3jJ#Qx0z=oxOUCl737YymoMraC z01@bB=D=H~@D4M%NgTh_Qo=A{f&eW=J-*)(U7#lwo%gI7spo@p&JaLVy;TVn+BeG` zWO(FuC)s`Pw)^-Xjf>%1MF_np!9)2}M!HCYuK2#u6|-st485;K_~J9MfloA;C@!n| zirkSeUCnRgNnq1AZB7*@2~59)1T(WgPD-ca|!+909mTRBdzC~{H35F2lO*_C%h4dOtckW z==`WdDlc5+KoD~W@YHERb-T|mxvg<5RVfBS{z6~PdzlN5rNW!n@=#yeL#c~bc>pQ5VgB|a@0h|7jN-_c z;GtUK%ii=SgU-{wGz5xrS*cUeA68?vRWL)wFaRqO;YkA}v7B*hRFZnZ)XtKl9+yBKq7n`Ln&EE*}TCt?HNj00w}y zO`n&z*j>NUsqN9)|5Q1dkPQiD?gq9tZK-4!(}Z~-o4?*ZI%V7T1%Tbx<7Y#fRX1iD) zPP8)6xD{O4qAFkWRY8T9rPELws$t%N{F`qBwp*%ooThZ-=ema>SY*RND(WfB&PVp2 zdPhzMbl{M?;6z(^Zx>%^3|g^0#e)UX&SY$2DQjV3Qa;)pOK{GTJ@{Vc$O-4&i086= zXLQ@J{@3-UAyYz`y+O!g`S+n|@%XBR_hu5%}bHE1S}YENC`q%c@w@`Q?>CJU2Z%@8tb^)k@*q za4Tw|E1l;Y_e`t0zW@xB;h3E$d#{#*($RVfT6VI2Xm;_6)zB0vwvTgdWT9SgPwKz^ zjTv4$Cnmis>vSiJ~zP zPrrZ;%9u#MKo2Dc_Ool7PUms1LDx<^FLs}IF1lz!tyuj%AhAoBAsh<$`B zFyLGk97B15=ayorZ8; zhOdh-!xT6twSS9Z=7N3mZyGU}Fo;o#!;QGi07qtoK>ypcYf?aF8_w(Wx1UPGLVX0J z^Qw^P=K0K}qfG>Zxm>aRlIAGb(Z(f+bQ^uJ#%Xf;H zNc7|P4j8<{${9G#rc?9ISDP-tB)#VRPYRH5ebzt{3UjWL5Cg zoy4wY1MUZuG#3nKZbm!;Fm95lVPftT#KO~BeYy_I+Q;%I;wGe^WGamF$B*AFhb)rr z{WWbO*NY9+i<5$x zX%oSbX(uM$LP4=Znnfo=z83g&Idi#Gu2u~ErHv0ae5a7(`k3!OYKN$^N4w$a{^M3C`vpD5LG`-%(!A+TnSP@X?17U=6>t%XMDs(9d<= z>}vY~uG1x8YJkr3=x{vniD?&)#qo@2I7JJhu5Ywl`j!M9=!X-;S>iIUiu*NLjYFKx zot*mvf>B@g`#qV`-E7g{^aH`? zS>)3ajaH}5re9H)E$7;NSy8U~xLHvyKZ$(TiO}YZ!;B7FvUG;D^a-UcHYg!YlQ_ke zgT#0*q#i=p#$q8S5<(sO3`(Fh5_R;R(yy`mwPf|=XMQ8Y;Fe>1N{q&(ZCjk=+{EX2 zJ?c`1Y{KK<9la}a);lr=y(pqHna4iDUt>e!@Fmc`6!)~Y%D*5t{Qxosok|dn8h(v! zU{#dQaAT1;^Xi`R6$dEa3T+LOC?;zree%A>YAE4&c9+-JKEJ1g-5D<$&AK~NwWE|4 z22v!_0H7PoMLMp;_f35n>%7O?N3jErD3Ke~rZ?KVrGq&^cZuW?J4e?JD>R zx%g%ypd+x4NNw(?R5tD{?4MJyx!$Si^A;^Va4>`yhAF0*$K_^D{SAkbFJ}Y}9A$(n zgXe}x26wUqedL4k{RJ!EYTqA6RahNR(o4632PDlcDhWZNUjvMIM_svl-Pb)>>8|~~ zZpGUY4a;t~bFwJ%6S65Y%nsjom`3-MBRKe;R!|bun0`1JwbYHIgZ&|hgRPtHUQZPl z4A6mtJQA`xe2x+S8i2!HeYn>5)7s|NH#&P*v0p*D{|1)l5 z)NK?VYmECUb`NPCl?8qxh|H>L`{%XHEX=IQc4YXvqS8 z5Pc^cV@^oACttfvP==e}pW9$px>j_yMf5su_0xcMt;FG_f~xg%(5wQ@2=NjDcz{7> z4yOy3_tZ@ZYDGNbQ9n9})O!Lw0Q=AP?5_HAJFkkhgXj_YHg(h!-p^@AxOP}=QF3HVF^;gw2D57quXo1mz=2#4YxcOH+3V!zCNJAUa4cA(W_g&P z5-?!OUjL=d?4$dhL#w64y}jx;n|*$hnb~f)Iea!KX-ay#&pW%s(~rHW+4jHIJ!U#W zyV<`8Jf6cBnvD17WOvpy1q!n7@C3}2CvoLB{64ZP!CvQmAVg=SCeZlN$z)%yRyptB z`+S4=qdh3QPfV*S@|OjA?%%4q9#wZ^H?oec@Iv*%czVbg;hG%C3)c^YY;khh+uW0s zRc_Hqq5V+=^QU7qYD$|Q7Jq5aJ3(Y&pt^?kC3&TOF4~^v(&y{4f}=jX-;Y=7iJq*s z?0zkf1%@m2xO$+ZS@MFnEf1)&WFoADWt&|S1j32O0<6!hxn!b<5BR=@zkvt@sL84( z+m61arTAS*l4Dh@!LiQh82g$#5#T|KwE#o)DAE?l3Tb|po!y`7lR1Mx zM+q_bX|{vRiyY<-ZM#hehFh3Y_(Cq}MIx&6O(Qe1K2dQpDzGR`vFi5g84eUD$w?b) zfsvrSvSHn5Z0sz+`nX@Cc?F^Ya{+Gc_NuBcj<@icc-*iyaPhIDz*OLdUE&>^x1ekx zt1NUJ!Dey1`KEY*<2I=ZPX@e}Qv$wF_@bt2>=b8A$hGDWmz0ezbbd^SYpF9m}%PuMF;HDJQwBkNy`%JLF=sgjsdq} z-*>$D!4UyNacU2x2qh(EHuMuXE(_X++4+g=nD<2wgCbI}?Z7szp@mhsMG*4`5@byF zv?ZVTzTjApjfm^_syxH!t)WGb?v21QGQz429oKqggOJHqoBn!oVC>U`^)n>Q{HG{# z!hq5#>x8kz$Ua1}7$=CQ$aT^f#ReXdF}5;R7r5smRVd(2k&^~b8J{^^>wo&$S6}V& z0pNDDt=T_B9d(qi$O;ac>aQGN=WuXVQFiv|D6gZdV_)+Y;1=^#v~+rME_TK~&6)jB zcL23qp}AL5F8jd`AED>=E^pyR=Owf6gGbWMW=HF!xDEm*g<2a5zJwJA8r8}f!n;r& zhwz3=e6gk!ap!X!vt~WJ8dl9$~riFGWKFzWOz$a3CsEUu-1skZZ zr?N%`m;fnQszAI{0kcpf=ziXrCDN%WQYA*JM4BiPq6IH&hVw|1&lML>dOUhmFM2ID zdRpSJ9FwZXs=Rn$?2!97r?OLyzYOn;=BzaTkyk?4VKj}naf&Er0B#rx#!krv`*bc% z28IuH%tyB}|A!|fPYVJz!mQ}%QJn?oNJR4)O}#B!^|J5AWS@nJDm)z+K{QYWN>2=} zGP=+YZi-IleY~tjsVXkh#if&J0X3c^$nKTtsWSD_ zgqyY8UV~yB$KwlLm^jp7Nuz^gNuwu8?l#s}1?x4+PdH416spK2UdO$=P6h6?gXgWi zH=h5pAs($4i9s5!XSi@&l8y@IbEPmmoB8&@Y-IhsF2yq$3&fI9>nS+0O&!!ox4 zyf3f$`!gR4_#R-EGT>Ri7NG{N%%a%PkwfP}$ei1D1nXD$$hHatfNSEpq-DP4$;UHa}c>PkK_kaES^pge$jtP{Yom9|87@_s`kM(OQduJ9Z0L7`R z>+uXEQTUnDoWWHdE`1PtDfhw;v|N)Qc8JF96_7&hzxi(ps{85fzjoMBe+YbG$9-@{ zr3w)am#}2EIU$_v{`%iN(W$KZn?E5V%R%q}**u7NIoS_nZ9Xz#Fl!Os)%bq_-b!VI zBcm91j>_=HBOTT2VYh0KFY|SAxYtF#5aFAR?ty;c!dy|= zlrnjg4Oh)=K^n@)f(WqUUbY|Tm!VA_Ock9z77w1PI35{=m;ngw2l|QhuB69Bw!;3nphB5n#0hOEpFjSRdp)7SzL3Ghmw4L>2^;tGK12DDmkD2-2tYyb#2ba+~C zuYkq`q4{EeM`8nkAVL~t{VOzk*##3pdAzV<%J;2+S09eHZz5XL!rb<)&1!erS!7Dn zM54nhln0l`=@WbhLmvQUiHEf+qIy~!7(yj04gm+x!8n%0PjnRUk_5QYw72Nw@Lw-i z5Us>|PboZD@ot;M*^O9|DxaHzPU;8)W7tC`D8bRo&W~`ipw+hoo;PkfMmg4j`W2?( zAwSpfvS8R%s$kPHjZaWn zbf9hXE$KhaNX|e2#&BqCGoy*ikQ>X4ud&cVxj- zFPg$sFH*R?@0>)^(`jjv;f#l%4$e1N7f%*#&DEJp>}Xo2DpNYmRMHN0f}^=rPj5Bx6WI(ko%^kX{;(w76^#y0(dwn5U@ z(=+w?rtdmDQK@X{EZZ}!e1JsRH#9FTB!&nqWn}Pg@)d2Dm%Pfsa5|J6&14)|$5#8g zY!Jw`rul?SC9vhm*r48j!Ig^2PA2Q5YfkygbKQwH;SO=%TTKr95pFR*s(~YgHt78M zOv6IcM@!0P6=`#*$DSYiI%pWTNAY8 z2AH2psuj!>DZj1ensW0%{oxj>3 zb0o9v3f;1D*3;qzw0q3HsNyMcAvfaId&#UpG%Yp=GQ)sd|KcZKeKi>A2ym64SU^wk zbqp|G9Gc`8M(1r2v{@s_lMGt*TaM7&w&TATGrV9JII>B4+&9C`y~14-@H->>7mN%8 z4;@;GqSy%%=NCBd`_B69H=FX+UT=|-4v4?N3PM8z|12lU96zO${4hF&UO?&;sa;6H2sT;)GqbX{YfkP{a$tC3a^g}a!)4bm$XWy%7T;Xvx*jeig?k$( z^*Jf(!Ox%6yn5HvZ-4goeQPF8@zxyE0niC!N*j^g-mGyiU(xAeotsG`ezFdbFvuuv zVx<7qLXad)L#b|%DCRUIL|RXJEkxX?M$Z6n&f9;903Ra46eQda~N8txKUne zbm6`)su!+O5DQlu=b)^>XGNwIPv%tp4zaJeKQ_|Je+;eNT-AAL)h+{NnA;SP_In zR1GW8vJxkZBom+4R(U-}LLq%9<`N)=tv~vSjt=6da&_piaYNfmsHJl$_{m{a ze?jmxtqzulr$NxJ=+llqo#0CFs6#<$0jjR-S6T?b#cFN&z%Yd)`3Tdg@?K~@(+@y{ z)AmzrIu-jDG&ecaAqXhuToiTB<^m!c$r0ipzL-PRkIUGV70^v3OLR92Q%E>)AF)?g zd@dPc&JZi-s%he9uo12KDN&_PICV;!eNCt9i`f9U{@Zwv9qXTR>dZG#arg+RdPu*4 zAf6oV8l?KiQ%+K-d$ZfD)1jfm2_DGT>zFKiS1pv_MTDi(c3`)B7a|IS5cHRl`lw|A{v82QK01m_v(1%# zmPs-9q^F7;g0lylU5IRf*t(#Ph=4hf)j%6u{*p_z!&x@&W*I~>vr8anUuibM-$crZ zW*Llu9EPPnRqO}C!7zA+qy-9j z9!ngyb8Nc|YQ*5*_PReKh}Axva9$gJvuG-}mr_p4oCl1AIuBfkAa`G$9Wof;$pUaT z#n@m7!4v9tih01vOJ-Nh7R8(p@&By=#}tN$_DpTtmV9TYD-tD35@1l#=1YdxGYPu( zySlANr}Bv~xaO(qu&`Buuw9}5d%r{YNl(0dfDgQ4x0!yul=h?i?7niX2Sg;|sX)~Gj9Q%c>GxUel6bC`pr`c(DdrMTCx zhQ#x}?rN}_?8gR1O9IK5shRt)%d6|MEHb56A9T}^7Os6!9v9Wm5T)Mj+C2@O(bg3PzI?kjWh$Fz`0)&QkCPDJW z_y;z5;w?%D1lnYSqsYclFiU_zr5s#^O#Y#~Y2d()30)A7At%sx3NWwKxEvFJ?tF_! zFo#Mb0bH&t4Y?H%iJuysdRo$pF#?l|Oah%Z@i}kkz%=uNB#^vxOnRXMBduvg1?Yll z@qrd0Z4VYjG&Ot-kLQY)v!Q&+><#6+iPKMHRsrqcpyIgJd;-i^70M+m? zaSjpS-DU%H^`5UqXo0AVz-2wss+-hkkwl1qQx~N6tCYF~=>Mnzi2d>w|i7 z;v)DoQi$;|L$RACX6ZOGsN}b@Td+o!8#oHG=-5d;!3fWpo_0k2XE&8;28c%_1DT6P zmI;!Y#e4rgf2nBMK5!9_<)l6W{oxjad-Z{vVTF)1i?xGPssWV% zI>mE*IxOsZyf=`sfoCoafoA=q-}#tN7+3%xQ_}B0?OkGFlk9flYn!=4jKKz1G~a4s zqP#g5WDnPTpL_y&6OFgCD|aPS;q>+!T4P`BiVpnk@e0PM>9dVlART$kyB@e((fS0T zgAH+~I98QH$i7KqV1j}kt;yJFXu!((DF8P*A3b2#l{Uxna}9gOl%_1m8yAPz?cIQaC(h5kj4 zP!-n&Zf{Q|JL@OEeWP;ZWA$ps>P~Z9|JKVN(q@`GyKex2lnGtE5 zg^ZI!$Fjjd<^5DKK%a&~Hqe!F8qtcDyd3I_WO(R&DR7}X=&yIPPI%F@ynVfbbLIP` z@zw676r&EmldhGgVHnLGo$63x3~6X=G~XKU{pOIu4HD;pqS_TLJ4~NSgioCCbejWk zqwZ)~w0S0cp?O40BQ9s2f~PnLAo`me~Sq6KkBb|(l32e-#D zj!5}F>Nq1S^?wz*BV#FhUvOCW46N2q1jF_gK-Nl z(V8TasevcX4Y$nZhnMn|W=QKCXdE^OSics#Ro|9l z&6k)dCQZO-(Skt+NsEx%?b=p;m&*U`Qj%nx;tX6&vp2`(_Jr&23Lc1c!wb6{g%E~I zDpJFsprJmO8ztM$4`)LzLSOQUOWAV&Li=apfNIDqTVH&+-?5q?;*MBcDKjD{9)5(+ z6oDfRt|o`>6!HyrAyo%GK9%{=1PU4F->MhSJ6zn-Q53MCqnLHWSNk;iKWuI6n4dd` z3l!s$ce0DMw8*aNVw8MW*O@m&gS2fcJTo8wxTQ@BaB*$T_bx3O&qp2l;>h3^LvOM# z2sI=(Ds3qk>KkoWKIsab_)hfRoFE-n{{T&FMH?0|t6|!pLQa_H;x*WpQGNz%~6wYeZ}P{*MQQ zWUPm{^TieD)T2{*Mq1(%MrXRR;1_b53@fL-Hu<`53yXcmA_k$_3)OD%>RcL!Oqy5P z_yI0Y%Q5>k9^tiu_cy0rKt9o~mkcgJ+(Wufq z?uyXEjsvo|Dt~>gow{RBMdhW*2umHzFmDh zVr8%E1DBxt6rc%?Pm7AcM;(C-!UI$9%Nm;&eH&!bP^?n`Fu&-uL#AZS%VwkNqSX$QC9geZTUX6~pEa`t4Z>Z=1rkxNRIoQkZ;;&%Arn+))Z~*&boJ2EDgc$ui@ zr$`dJ)`~`Se8}*M}WW;Jkdc zyIW|uBr@R3tZx9K0OM5-R~+Pa5?6FOH441eg_KKvGftG&s$S;`ZeLW2-Dug2kDTwU zYSY`l?ny0p$Ki)fJm$e;&*tOhYt6dFF6-Y}>yi(gr{TkZK0N2RFV6KxF@2;tfz(F{ zeWb8F){Nz$zexFuO+kCphM&^Z7ql~cXX%|{lY_Q^_lMzokG^l;{s<2|eWh#Tp^E=x zy3x+h8w%vzU>@MzR)Q8dWLCkoQ`rpHIvALs*Rt4?hpdVQQ*YHb44c~;S@`~4;cNjZ zB$G!MT8Xcx`ckf6)#Wk>H1qb5Q<~6MFH?wkEa+elN@=n_)&<(nZjr4Hx1h~EN(AYN zQUH{m44?)GzFh8LCc$58Pl~i-PHOXJz3=ky$M$jByM#k_JE91?WHxLyjGLuI~AKKdvdgpaz-<6Td zSJ%8zLx~{XQ(dyL;-|iXpCD8FBGJW0=g%z)-wA?1f`j=<5n=0xl9TeGL@S^5Km0_| zwDBrHV@}Jp{P4+2qwZE))TQM2s-_qBhA4T85J{9gr8L*%FN@X#&@sT%Sd2p>bqZ%P z`k^w>-p7@rv0gK=MSJC7U8e0qiVRMN=@WWJ{*rCE%Xa|IDY?4FWg*f;F>-`)p#GwH z{QU|pf(7HEH=CU7U9!WE92UOM^VTdc&5+wo0`-^0BrUl6di&GUt|v?Qrk0dE3-BZG zGxe9=RE2heln=2tSdHmyMT!HO7$bAS74`%5mnBO50^V_2Sq?8oVlN0evE-q@tfpq{ zk`Kr^I9RCtqb5go(}$hwB#lu=N|jRNwn{AFny@davwePJPA_T-YyPd@@O zp5-qKPnK+0^8QDA>2#)r#-9)G$&%po4TW!zs08 zMA*63Qz|JY_I&l1^^a&vm+%C(qlPF-zKP7nJGV%PHitN=(RrP%4YDqkkZ%PaRf$RE z?{pLt%jKVMh>}mD(H&ks$SfSnJYX3H9^+4WL8Qv@pnwsJ0DnFEE-o>JrRA|7$C}eVj(NBITWp)FNz*a>8mjo`ezKuTc zI@5xGg66@4XDrr@WXPuOpefq~#ZS|%1wsnvL{XN3;B9D=r?V+@NPsn;b8NxP6{j+W znHQv1HY&wX&EZn4$i?QS(j-RQiQ~WxEK`-d@SSn?g{ImGW7aK0)BT~EH&^s(lmpzn z_&mjoZ0UP_c~Of3^@^L(;_Vq%`jM$ubK1Cz&EN)PhD8DGw~UNDK+O8@j5%k+;-Ara zft!u-2_b%`fr>scPF>K_jZ1>OTc`-1g|YKR{S!B$WBtGPV?6SJ3e0I0+^zEIDnOm$ zh%dFm_b_2AB#P6Rx5xasZfudooHOinIQ-JLfE@+38Lt_B=mW?jaziHxT|cHxnGV=k z6#(_KB^A(QM{_~X=aU>+(vayZNRIEtNk*z~4d8{^=~2~ZL@yY;A@QuqCmTNsoj3`A z*qwNO7?6=;P%X8znXw=;KkBu-oH*mh(`E@Lp92REFY%KQ66w?xd)5j!!);aWa>o!f z)<(MnjzR(#&=p>ST_JU&kXom%bcZ%A3DUQzzr?jn(V7BNQ0T-A_v(ezdC}NT@y*nN z4R6g!^L*iEOc)6@@%b__O4Bg2fJ1q=ZStTxtBC7^^~$61kK)Ao=Ra1LCUeX}zC=N= zqkJYThSvB-vdLC>Uk)z;xKwUROq15aB{plPP?+J80HkCFe`FS<69UUwTKl1Sw4?aR{hE%aLKt$aYYzQ< zqzwrWwOmF_?ZXR|sFn3%;^pxl# z$P%tz;Bg2KSU`)u-;P;gE~r1jGH#2F5*b3hdc2NNXWocgU|5|Ijykjppf^_H`oUF> zfJtr}a=GL%8~ZAC3OtKor@55v2Lo=T)Pv!DZS!+7j+M+esRkoc1<=+ZE~7%G2d`a& z?ltpgMNHGOuq2^wS9*(7alfiTLAaw;uCO1)_nE{GfpWbiv zB#|H)Pek1eKdqp0?|d2{p99U8$B{~Wa=0#361NwpRup*9GK5ETxJFaeoU1b}eJu3_ zk>CoSc>svMDI&u4d%4ZOjQxNp`hwrU#eWC4+czUhhb_DTa7dAvwUfvj;EJPDXxr3! zdQ)^l>l3aBj6^aA*&|A*{O*i_k%9-{M$o-!dy`N!Ym|38dMVzlweN~Ce!c_bPQm^5 z-FYqmt+J1{D69Z;m&a9AZ0dzoh0IL`**xtw#w3*|%>i6|UbV-ce)ZM1DSq7-r}Y(P zQ)L5WOPn<*3+ahNBZF5Ag=YvikYD2d?*Jci6Unzy*~a+D{yRH_~dbc?dIh0AA%LiZ(V>$ zfJdMFozt*v*sGbA^+idMR6Ph*Ah+5Uc9uM4;|Qqjf%S0&DO;2zU0yZM&Vf;QUJ64@ zvFX?P7|XRGGmQ)zIjAp)OH`kpRpwI%k@C!1uD%&5R9q1AR;LK^;9eQk6W` zFnL%P_`^Yh`f#~k4FZ7i7#FKrt+uuJso<}!KHH)Dkt%p@qO{7-;_byL+Ve?Nl+0UN zaeirY3b}r2Ka$qcV!m%!-OR>2dU0_+FqhYdhy_PA7xn+hx6R*r!`2d2ASf3vCgpjtAY zwT5Ss$n`AxK}SqD)G$e2-c6;l!=?c6v-Jx%W^kcyO@Zks(5D3+XpDkAzlEoEUDa@V zo`~I%qVC|Y(pBtHub*N@K@kb^oRF%9ot!I&T295N9raY$g8w~A%0@{cN%EaY8i~vB zuAj?+x9*{D_Y7Pzyh6pJ47^W)2#95T%Zv`+;N9#f2L-Achuuts3fcTiajFk}GoWql z>Y}3_G};`D#UvI2ec?j>MQXYS))Sy-rjh|vY8MP{cVyd1zrnhrtPI;dsDbv(HAgo3 zLI+BnTD%MyuT$YDCB<&<2n|710~SbzQ{#F3%FbDAk3d|QNfYrntG45zo$YXYb%D0eBhsu7ftAz2DV?K;IuF;xUu4vl@2iVld!U zk@wy8uCh{1r!#3$uxEJ!g2i+dRml&r+%XqMU8(iiX- zIRm4w@X)S$q{a=_zCNB?roA7WGL&4fW`&Ho2agfzhK1_hU-^{7t|5<>2l%I_;~Jw# zw;`SK=ioysZkIr_nn3m&+ra>x#u(CUhL5}AnM5>eT`;4=s4VZSup}Gz{mkxGu;^?M z?V~fmU#B`*&2L)XHaSkx+u7PBkaD5y9U$LmZuFh_4>drzrv$W9^H^+(B}vu=Rph(6fDNt0&Hjo5TSY!Vn^5gzfB zrK4EHuyly@p(P362n>dQQ`=}ku9q5e;Rf{-8**dDoI73F9jCn&sTaSA$T&1a0{r-i zR+>R%;?TkH3T*3Up+~g?)Kp+%3iL@J;+C~Q+ISmUq`#TASouaRH95{qaTt5gXmW;7 zx)TEQc4bp7$@G>Q9mVrTQ+I2j5vbBQZVQ7%OND(cx^hwWQv1V+>;$OCqi964ZfpTJ zSd!?+OSPT!XolJbqe$Q3043J`wqLLD#A!-44AKSJ?t2;)fxN0^k{q>tyGOplM~_@+Iz_;xsz_bV7Rb?n}nm6U8X2VV)%L3gE4R>=g@gvn9E~ja);iQm5^AIZk4m&GlB|f||NU%P|hdSY}R6 zEoSOH)*M>?$?QIkVkZZk8?k{QHW=F;yF8LO6Og9##e%q{c1M{Z&R9xf&q3H)NroSe z#2mf9pqIebruR_FWB_ z&NG=*dj|pdxsdMx#G}q}F-Ip>4lTKoNwo0)#m`T*HU2vMcl(){U;Z?+4{7v=hOD7@ z_3QYdQI1)bHBUADY$4ewZ<<6GI~Vp3f2xR5k06j2wp7|C>dBw{$ENOA#&`P9WBG*^ zWAzs}-2i?D%ofBI9`G`l_fB2ya{ExXMOBgw`h`s51Mq}ShuWSdrlTp2A8;LB^-W(g zpE;fYa(kD*;*xNhdz#i_z{zQnnYh1W@n<^ZRdlW?*MdDfFFkQS68JB>{pk;DKh9Kk z-?UUnIWHMeeeg`|Uck}9qIBN;bf@^tnMfoN#q;Klkl#WD<|!;b*!=%q1#dnGG6DM6 z<5KxA6^S^O4M3!7uJA;l&6(GjJ)bMx|3RhCJ8Plrds%M^|9A9i!ahQ4ps{WEg}6ls zc#9xy^_xwFnrSj_<9&e}Jc2Vk_O9~vc| zR~*6*p3Hu|fBW86SP~?nJ-q#K0|AU^-FC7bO?rhr$^iL9TWEs^rLLyo#Qh*M);iVk z>@dK$o>H>u}?~W;7)D3x9`t;;DOaK&Zx6IIEJ;B?>oZUZ4~Wa2iST?H#cHe7T@b|W0v6piUm@g@4)b;S1*-zkY;3SP zTp`6Dq}V^vD7)eS)6_?&CquiEd#%=KX^{o9D4ma*4Xr`q*^4#eQ~+PfVTe2)VFm`V ze5Zl#?%)2nXBZA4!ou1UgVo9k_>S?_K2*huzfN6;gUllSIus}i>IsG_t3lAihJri zszd4kIA%*V=vT+Lzp7L-7$79%G~Ze3s#G_FCkiWw2lQ1YjzE|rF4;*7Xu3-yxt>UZ zTXTouAy;pIu?NF7Y(d_RJnje@T}(SB+pBc(Ad3RN3*6jjMLG5zEfQt%_KzKg{*un* zVW0#8n1O5Ut`m}8L7bL~=v14sIbi-X%Hpd4KXYqT3hK_1wmaN8SEQ~$MH-+4(BBR- zI`FEt!!j`rITN6vujqTZXvOs+_XUU4@IOO}E!xPqWhw7~n%~(+VID*be+&GAg=tmU?s(O^YBl$Ig11%GYMjEOYv546BQ{RY$ z^oKT1!TwM)Aq=I-2#|)7l}CC@I9!t0O*1n#(!Z$<;}KSj=16mEQWelthgmWSlg!>x zG?C(CcWvqmKew3GiJU0#<8%@}=?!h8-HQIh25hfL@qk98Y85(c{%(QlHW3(;HiURr z^KV|ZF{4ai!6KJ4xkMiN#*~UhP?V(XCOirnrlx{@T-TRXePylkL>~mvLf0q}L8*(! zEhFwSeNVYA5|L`uCuK3QpZNiNisujHcQrkf%XW@lKlaUee;pmlSY(*ESv(ExbnhtE zMFrQ!#>yigIdKq^Lj0dU`s%CENp^6YwU7JPxi73!G-vywPA=Q^n(VA?Z5@0+T)luJ zT_z`v9^cvu&df>45B%9ieIoHE{i>;QcDW(sfjNdm_f4 ziMj27=r%LyLxG65m@=$k@3-fM@1~7h-q0{g+^fXzHO$X23hY|>ss8<+fBe-~vdRb% z@j#ox{;r588nHc{;?&fPInn{d_P~}Tm_!g&YvFbjNGd8s8Q~7wc%41 zW)2u&5drM15wUEoaN&)JT=mn-qHN60ZoP2Mq+Z%ULJBH4JWK3yEdd5GnoP6lc+5eE zDAwR0g!{wfK4wV(6rnTp3w%Q0+HdW06;d;{1T@^sElJ3ZYZ;w%Q}0wo_<9g=Z{P=F ze0&CVc&9OB&ApURnpTTwTkzHFo#7Yi&S(^&Kh^?5+Ms1cRE<#K6V3`SKQH~f3i@M} zKS3CVeK;}HjRLpA7V-emyV3B zvaaiuH#uxDD&W}DJd(NPyD23Pm>83psYAw>MCb0oat23C`yp~!9t?A`n9ht!#kKMx z*M11&v9uUePX~TLk|=eZFbpVRsLBal3wN^!q`ImES!_S}*`vc}sm%H()Ny!zQ~bJT zq_H2))Jv2H_)HI{qurdT8#iUkCrqpl_QRSE*ZrzoKO%S>ZdPzgbkJt{+VY>Gjs4JV z%17p(6&iZigAUPoA#-UDa{&ez(>fLTk#8fI6*^!?z**nhT~B8S`{53D-_oXchVPot5%d@;4JY@VrMbsWWbPC~13Y8mvPi*nTQXa~MxI+?@A1BhG#04RbyvJgGX zpaWeJ#D*bNXhJz6MI~(tFBPREf=x`7c(TX+JB=F{?d18a# z6Cz<=VU`BLNX4Gq_F?FY?R`&O-#HX!g2mmD{3_ODu-o4+s!Qw$V z8bk#NO+G_Zx~yi2z(~x%&*jj=a{PcAW{sdL3%bEHnafp;2RQ*Q|8p5@Vy>~>obz6D*&g69RNjkd#W$+55$LAWT{Y&ebF>0g#s(UrLk+#w%!ySo!>4P zv#XQvy|mOCq0l=h*lRB-Z&EFO@Lbi*jGl!CaxzZSfcn z&|b2sFM?~CAA$MQ!Oai8A#ijq>yg{8uIg>uHE(}$Z0!>6;ncCTr|xa96~aC?vvCg1 zue6EU&6TX9ZD$l926Y95TiE(McKKLB7Tmb=ZZ6AtaOA7Ol=R)I! zsanAEN!QCQI4Cie)bND%g(fd|_PNN{2yxDJqHC`LI(0W$lE4iBI}7CZ?oqqNe(0%OG? zom5Nik{IO;#bUz1BCDB^hoOL=nE=|E!!$qJrXY>2fHJ$wSBSgq_8bsFLv`lI0yCsS z`9-nVIJ83Mu%mtQ704M|V57hncR%oTX#{k$ibL>#(NfwKLLhlp`Q?fc`PSa`Cvk&j zW=8=>*^rup^^+=}0~r@@uOrlt(c;L58*?I|)&&6dHv@~uMQ#-qYvj9=&JV%7&1|zE z&ZA>e4nQvUv43X>Mrny5&4ZsZR)2BaI~NT{hyzqZ*Q_e`{4QY#L!5yg6%}A$_F4ib zWltRUz+76Z^548yczj zrDh6F02A|z6KoUOn9x3WKe8HqgRlm$bg!=Vj!UqvFHCwzy9jB*B?px_V@^Bcre|En zgUXf`2Y7p1#R)MGuzGQKQ*B7myI00$c1F%FCWq(bZ4V3f$lGvJ4$lh`o1r4aVo<4b z>J=^RaEVa(Dg*n2BT%56G;%uHGHl$rTOjG9oGu*=(k>2>3F<{T ztph-;_|2P?Y=!-DRyE}npVFz6Gf-;md~EYJ!upb9MLbQw42)~}K>)Q40)z~$<@UXr z-OR-eZmHDGNd0lcjN5vEU3$`i&pDz;U}<9=S`|GsMZ|WPe-1>qq*fs)NM5Z}SNW9C^4u?A~_tEew^+MYA?1wCVWVmg_l2eb?FTjCM zaRrj7IE*azEui$ZWUO4B^odmEAxbG%0rqv=i#=ubgNG|7jnlwVg3t~8i4?GCFkDf> z_3=C^TZU|`R?M{uNj@&m*JMm^Fu3pfvnq)t&v)fdxM`ytg5Y8_(SM5VhlIW%os~#h zXCc1Jn8*M~0{F zo{$o7%m!gQCG8QRDsRsIkTA43UedVnIn$}2FBO}JJ0vB;)8bG_P5pJu&t$aI;cBZc ztHgUit^{c-_WglxxXo9zzp7N@1sM>G{qR0b$#?~pS!CTun(TrsV<>mkWR;z>iui-j4@NN?`|whohYI&5p=s=z-I; zf`CZ%=lI_IRX9x<0MS$82iGV%;;oq8VKRd5RQxpU*gecRPoMbO3$$WHwZHJIn;7d1tf;jI z&(U;rAam*2KJ;ta64v`!|HrcqnkSc1;;)%)TtjJ2%HSEKEJ2}W){G%$IqA(*y3Hc0 z4{%Un3Ar9>GTBg?=g*Kq4|$8WOjQ;A)!|ao9zTb}E3~$=yOI|1Qs!;&HA5E^%r*wF zh&|r^aX?mcI2>U@0pmc{rXYa7uf3C`EGVY&Vc*_oJQi}{!O(Ld9~E0ZyU&I`p05u& z-Bc>JIT1Q^5FBAv)Nf>f+vn!Go&k~0t2|3QObH(D6>T__Ud_ByESf1wG# z_|;VmHATv6at-qiFV6KKG2^x9m~#j!-hX!o0QK;0AQXhG&c%sOtBv4a29kXszs9}+ zb=wsNA@(evH08q4={Y+ic_Kyl01Odypxu`@+0{DJ)Lkd|)0QHWrw?$Qs+%CEU_7sD zZXps&dCVq>8Vh9@c3EXxQPDAHA7wowT(+7i;8; z;|MNDaEWyjT4%B(c41!9q=3J6+frgOUE(BhvNVb5`!sVhcA@ow&Kx)jSemaTT1uOO z-zE)Ha7ofakTJ^#z<9}$D*?ly$_~AdPTX!tc9fTd_$P59Bx4RY(vkqk`a$M;^iM*^ zS1jovDh8BoTr9(+^JyCofSOPL;Ki6M8%B*z==|^nv1R-om^kz;E}YT`kLdK<6Yb)u zt~)x#E{;??G(pvmL`C?AM7x0aPjJ%#aN^84^teVD62=K7jKL<5gg#k}xVbkAv%ute(0;~W* zkOx0iP`I9ZKu)u2*Z&{}lD9k)TY$okgW_0!$e=bj-c1crsVbI$4N zz1IGz{j>JoYkeP;+u_{l^&~Hn?FL>&AT5aCX5=FUm|#2`SP@SE5&A5lP0WzBbW=9~ zBp7ILfd8@}V@dHGg+)B44J{Cz9NWWa0jUfP9E4&&0WmVqWYp(9D?;C=LPc=A#~Yzk z$qO6?<~LNPfT|zS`{XL(%0o2JyQtR)Wrp`7WfR8ix z4ZvCWO9VF*$pNJdsivU~hJ?@xVi)niPe2fytq=RwLeC2V&kAUm24t?ww~WhL?Uo=e z0@)Ph0gi@%x}hXM4W>o_AQS(9ss`$ zb{r?8n)w&dw>|vkZ1AlD<1HYXy_o)|Z>eJFuQuL=>sr~fE@{Q<8oR&@(}bjO{TRd& zI0dJa-mtvU%;3=%^d+^I>&7|(!fUgZ7E22(P3Xq1<4qI<)&Y)5G<$?1i9r*EIOl$X zTOqP1aR+RHnhTN&eU&uH_Yv++a9i$T3rXLi%X|H|u|AbbuHk1zqr&5ZVcML-*^LrW zf1r*^rtp@EkaJIFa6A<#o2%a+w zhen3MBvB{XwYj`W4pqljEr<=Ovkb0|Hx+GtY51inevj3ipAWm#X+`d#h$J2J_NgIP8Dz=a*gp%gRgL}`EFbDb6K3l=Og zpx>;v14_}dIv}c!jhnXB*i-eW5&LpMSb;*mf1uC%yzQivOtedL9a&J@f;rRaeJ&4X zQGu0L^w!%RU(D@m4=$03-mS2}ZMtVHg6fu_kRywnG^Sk%GhR%i>G#<>k;90<__bfu zR^7=FO;I(?#Nn!^bY)y3I3J4R2mo5EEg1x`x2||o6j>ZE-~^o3m9!Fb0GO;5nW>x{ z{(i9+yE=Ku$vtT)T(mlJqN5EQ-g2@x8PB9PIK4(Oe-sM@4ZUVKK}YA~1_%i9M}c4z zV2^rAilgOKR@Bu&GUDp^hy-G}h~;RCdydFhrSa2w_sG?8uV_ZZe9Nh0P95pgA;%>M zq#akp6#>Ty6>fn>iC9Yr96BzeIK9rmk=2cfR%~H?wY7jmVr<#1j;oD!vTZCm;Uqck z(b)#kZ=}wtfA`g;w-M>&jwDw@a)G6vR+#-YW8c#fN+hU5bW5>g-SK^+zWx;^VzMx&nJ39flFw5lRQ1l~&%0apa%VDc$#0fsln zlf)HALV8+8daClqOqiT}TS<{zw((*>qfJtSYz7DGh`0$f_W~FeSOo2=&^4Ips}~6; zBJwiEdIzXC+k-qbq<6!_7$m%-5$fr-3PJQKGSbCib&%1a2WfCz@er@irLv2JbaApm zv;=QenfbS?v+XcS(F+4{_v}TSX(pHn%K9LqLV8FXikm5=fBF_}-NX;JIh~Wwr(rlcA2~(ujJW1#gn)>AMipBqzjfl%-HbPzEr$;XI+}{mabX>!tZz|YAv13U2OaJ*EzFvPqhXq^zD8{IaThZ5fekhC_&$K` zfEi+wft8@%XEb2)D-L`;m~ts3BM?o(3xWRa8PkIw6`knZC&jLhAhHmTY-vY3kZ?@EdxXjc4&ani)Zl?N-}xcbThE@%TqJTu71bwEjLBiXBI1yD}Q zA62;q?lODQCoyod^l+PD_ZuR{9anIF_Q`Bp>2bltokFhBmp7)>fWI0f{fm8K z+DM9xG2hcWD=jxZl8W6I&j=^jx2EB(#OZ*ArPcf=m5WHqx=f!baZc zpkE-Cuxr`S%(Tn#c}^K5;}c2EhqHkT#cHzMvtuu0$w*6*ZF?-K8IX=@%3G6=Ebo91 ztF@#$3ihULSfaZk?bQ4z;@vNOUuH2JvB zRPt2T1V=q6Ef@XG9>)SzeSJN&HBLS~D?HK=%y#MlY@`=;aRMnZCB0;LK~ggu_JR&O z`5>CS7mO|pg*E)|#@?Q>bhJ^8qi zUEX+;)g8$(!ZTXmmQ{L~p3J3r!t0c^uL@vX_8%un$ShoE)^)-2JZ?d7304^yoP?Rs zHCT|vvSpeI#|54&{q3nmsQBT#w1rtHKV%m62IRv&o(G}tEm+LA7dj;wWF$`OB^G$< zoOl}BF((gn5^oWP2A}^(z+)77{Eh2|l9E;hk>teG;7tMyY3%uZSG3qss7vfbcBIo% zDIBAt;np<(M0fbP7ssB+IDK_IcM&L~%=T?pW|Y7eRbCWCoFdW!@A}cg_lzG?qw_r< z{BTJadh6*?%yKk6q)~7fl6&(eJBcZ#0r3 zYdQ8ux3-AA+JZA@G!@LK>OI&LmkW{7r>=LCavgbXy5LbcQ8#)YjzUK+n+|R1V&}|f zGd?fb=-sH;(JxZRzJI!kr_PP;xu(Ir(O!5GVYrh( zLjlZ66TRN)Qvlh*^AX^f)*W5(!~#7}?Tx92pjCb1HSsy-1J;w|I0n`1#M)_ZP~NAW z#91PUOrlw3S34#SW)l0ozn`{(hQ#4a;vxK0`{v=wt4`8N2ZP!t$)ls>Zcn8=NgWsy z*X*N4nKr1TcTUoeO)S*hLlg1w7L-c?j|M}%+okXWvIqG=Buw2S;Ju_G~kxl$;-|8DDAi+ z-RJ4XER6yKtYLY`%5&jRCsq*)2Ym$`j|==Pp&};FBo0`6{P88A5eB`a6q*)oU1*V9 z*G$Tn!>#tTzHVPa`)v}m`%li>2wmIadTCoHO-Yt(-E3*uOmgj)VT64yUPz*TUj{pV z`_Ah2Kr+0|w{xX+hDLcC)9%pX>TQ?`+a|Y~WV=ZQXR{&0UeJkj>-Kqi@=BMC`b3); z@R}cch8UqebO*{+`Qs<{8-fwo+`jtSn%0m~u2%ck(hGVv=c@V^^BjJs8wPv4#)-p4 zQAbIEy=Z7(E^wM9Db40h_L?%=@?KTnLwr{{V+YXH9qo+w+`^PU!)2ez^*zb+Snf7S zn^)gEEAHQUa|li*gS*;QErNpD!#)!u+@$7(nZ-wlj2i-@8laUZa#qt?3#YGklh(;y zX|VqymCn{NZ^d{IQk8)OnhFvCIZ8cZ=bin>ddoE&>S z+n^;~%g8Al4j^~cx+{(Z=ubIUm+p7~%wEi!MZ>oPkm@3`@F2c#wC-BV>TUJ5xCg?M zP7oGx{zi>!hmT4hNcumbHFJnYOJ9BE&pyZti@l;?bKO=ggIOkRqvPTEZ-XjGHVxSb zSBwLzXg~7Ag5!tp>hGFtf5jlPw85b7{7`>~pcH!Qc?~{ z72_#u;LF*_5P(CQ9{X@r;l%vd!@(I+!##^OFa2ZqV&QSbsr~*jv`K1u4Ab6&?;6}z zJUk8-u4E~XQ8PS-i<1SXFnLU3f#{~xVV^p{#igXClFMPAXr_I7oh@nW4qRBu zn7+hLWB8H`ZTKn;jg0n@FDV~iN~NYUaN`&r5BUH@6g76^g(HQP$D|~Z$787&t5e0& z_Wqz-V$y7R986L>@Js_*aEP`CN)SE%KmYn0Z%i%>dKghPz@Fm5&-Mq1(y({)5(G|r z0K$ZX;~EkuP6oiv9Mv|~Up;>8V`K1tq8-B?WU!O}oZ5Qk;3xe{EJZ(zYw%NUW|O+L zZ6~DL7VqEjiS`))2SL47mVB8^no(3|LJKv*B}1&v{mg7e>+B1 z9CrJBWg>#8vHqR>WHcR222(!-YyjeMi*)9X{0r;Cg4Xv(odeOw&00 zOLqB?f}SSB+{rVo%%{dKN$Wg)XqbPZKa^e}&=r?iegpFxU$&@K{`39Qt%vF#b$kC} zv;NgLKZkFOwAv&;-#01h_WsE)?#F4jO!B|9J|rEeM4o%!s2OYKPl%CT?@P=aeZdd$)<))KuW^9#dZ$?{Y7yDyh z{tjqk=IPJAkAnb7htEnqnOb@5flkx*wK;7|s^2kQz7mYKOb2=VAm)?Un!L1>cO zgaKs|YxC;sHAsp9LEGd7?ZR@+)P@$byak^@ZB6EX!GVKK^huRZE09)RlM-GxPQFGgdUH5S0cW8KjkYw@F%V=sS3URa zZ2*#0GI&7&YM%px@?6ei13HdskNfmxQLRitE;vp;tzTqYo4iGvFzD<7HvJMrNzJBe zIm&rSjgLP3V9SP9j+pniTU3m}04YiJ;>9GYG=vJtVFG-B)e%O5<414+wa$GRmez&K$T|sCDaPjIen`wS23tG<7P<{`xB_5yT-5MFchzzjcLIVg)9yp_3{6ta9w_B^*^-e8LH792tQI-!YkDwO2}m#M zt{p#1Bfhrz!IPR}$lhX}p{6cP|D>OdeRt-WaKqhEr=^J*rj<<0EzoZA7U*0JUzae6 z@o`l~z2}c)668rJmnkU4D{DbrpTV;R9zjh(i`DUzG3t~K{=b9HRKOkuMUx5h8o3Wo z^x6XNw1gm$G+MEqwh?JzB)`Mg4=|`BgABg!(<*+FI;ydb3}_sjsC%3y zXE-FZ`TgRL@Tb;f^H1OC;6KesM1pLvD!QfBGT3KYW7+^LE5I(mdV-G7B#15pNRQE1JTIw0_{A#$?lRCcg?gE3Er#ldU+s{L5SZf--F34@6+5R&At&sc}i8q=4g1k>x7}jUro*{W(3<330-Rqg;aIEIUx^RGm&HHFuDT z8U~kTJDPLK><-bQ1@jEAfXhwhsqx?SIR0|_M%84*0@yfwMTyI^)t(GHAXiohoiFgnFAuG%A!@ktGL}JggV@QBlT&fOxM6cCUjT$BE z(iMudJ^(`k37tXKGuG}@))RCXot){R+|WaWF}upHy=h`!m?Lyzk3CzwP$zZ*W9^Tr z%Q6r^7@a!eO@@u@FNu*`2h+r%c!xRSlnvHrXhiU}#2Wog+7bY=TgMx*KUWXX#ROv@ zoXCV|&;S6y;3x$2o>yOkg9PA=$p%_&H&wCI<4U}Nu4xFBX+h@QVuzrZBN7_f z><_e(I<9MYB-eoq1^KOEYcsOhkxKPIQKADPcO zIR0xc7NBFiR+)OVvf%Z~yhkg;z3@1^Jus$bpek)LY$ZuC>AkD7=Ns)PqV&)44Nv>5 z_qri78Lm$JdOKh(Wa1LqyJ1fV;3!eG=((gPd? zMiJMfXwU-qzogLagZ-#KZ&6_Rj(rF2GQmV~T{VClxGPv=Lxw6CvnB)YMBzC26nExv z^m$fxs1qhE!?=6(-8!TF{Dq0zdz9?#)GdMSlW@DoyjdAYf$m`knq2@p;tX%fzpO%A z(X%Sx24PO|gddvDrc=pKo4@^LPnSJ9OvrkvS4zZafr&X#jUn)yc!%*B^U$qn zzDsWN1jZ{cU(B7k>FShrjRvz~9bYZ;*)qx9BzvH#D`xQ=(}@lB$r*9>@#Ky z*mNbkl+I=pTrBLl0)H-BfFPxaX`pR8wCM770K&ssNxuPV1J{!y(ZBJQ=Dvc3k(7tt zr4tx8aDo6KMng(X(y3^oT0>5m zJ@>OYBm|Z9zN!VH>r9CqErLNwU@iBjFhyfpH;NYSkTw)wSui%F(=6Di=3I1M!XOq$ z3vZAG#OVP5)Y9RSj_i1}33l~?KWW|Ax~+no*ci%3kE8m;V_0zA8P?1^wEbNsCs+=AA`#lxFK6I zh`_N^w~W3vdf?L_;*^m~9l?#<0Y*KkZ?nS$b2w(R8_rPl`rRrP)KUY0J-^;hR>a4{jGA)5ouDL;oGKvE(kr$+H;W> z7}y-_beRkrGQR$R$$|iLeR1N4u8K4TFt!_Ww7)qM_BbK4yb0@*tsGYq{$Ap+>cwKd z^AWMY2^`JpJIlAlC1maar(Z@rKlEbZ=_L)T07h zPr-}=2K;U$Skbcr+w}uYf-7XeU{FXaFyHE&5N~TkDAI*fv8~x|5nV7-r=#W*kP6RL zp0BBGFA#BYO8_^>iUq3C@@WEaG?6VjDk?>`5Mxv6^OHU+#XW)pF#u2&#Ktf4`H$v~ z5Jo|{pJX3ryoi&YAu7IM%|q%v@#ReNNafxH(Kh_pfbwVJ(Upx(ZC5#U%J$Lv*y;kd-at+`+og` zza9(XSON7_628lFz|e>wAm!+bh>K5i)irZQQ5)>QRzs#IAO9f(2PoJ7;8PE=j$a@d z*Ek!_1qNa-6#BaWU`$7};!!U+*Fl7woc6|n7q~|(;yplzGtWlOAu-6#_M>C2aMjDr zcKu=?Z+7j_Rucm6A-{7TVbEQ)rfQ*W!EZlZ4aXP-to=z^H zV)-&tR1*s6i|r@#iysB9cf_$hlx=1}brH?nK6bQV{5R>Po>KJ4mf&4Uo(i&X@eq}<7ev$)B6{Fu?X{HkQ zRLv>FIanW$sm+IC9xL=jp?4~OUeM^Qpcho?GWw?);?q3H4tTJP!$8*>gHK-T2ij8k zJ`MYsfM$zpxj5jASGQ1ck2t#b-kcfovC%)Ptrj( zd5?3}LDg9g3uvkPn-|N9Kv`j;0yUkbor$yoaZW`Q(tmI=zZhvC$!vtK~o{CEHK~1Y<5PhUr0>lZ{UkiB*Br5SzmY;WK>MlpRc5@l?2Ns%Xcs z$twc|;5qv?>&*?8tyP{59UpkS@n`;8)_4pj}tz|CG!J^QK@+?-16(G zyug63tI(r1$jIsxmjimANk{8a zY5YfT{oFZrY-XSd-I)M+pZS0s`qW8W2xYCc$m}DXex<3U2z(EQVjGu(?`wp;q zC;G;{x5HubAUB$-QLa!D9S7ViH##ZT5G3z%M11T{qvR*7JtrhUp5q_u8IKn{Zm^j0 z9(VGJ$%JAxLrdlRCnf6P43s16Ms9pexTD|3vhK>}j@^0M8l;R;!Qiyv-};n3r_?+D zlZo(}D%EUwe^XtPnVj6NO)=-iQ-zJb0Oxfez)WP^_B^jNwKc_fP6!Mig}6CH4@M8j zfh$x;c+%90_Q-JfGxO}|5RwYx`AWQ##HkVv_UYp@=)cBcTVG)y&Vm;JafXq;7QI+# zA*nB?ItBEt(I9mZ$cr7ITj>D#pFx=l1K$=mHBsh%GG#N*_&!Q|&Z@}8wwf_gq!P&2M@u@9Z-?R; z#BJg0!k%@>GeJA1EdOGpu-@fmhx6MBKQ#@CCDv`~{teuUm_z~3;YPS^`n^5~Npf0? zf#u`zvgWu7F|o7&`<6?aqAm7}Wx^1N83t?=0uGY4KR_g>H)=5gKLCV)G;AXLd$+eD zIPLnpr~oitPMdtkNV6q-SHe@&im07^TCkNBN3<`(&K$@ipv$Fcsk(#vNkA5??^rQw zKqw}Tx*TI$=gdY}C(W+Iq(r+Tb_kBaF~A2;i02KA9b8uvczQ55RS0l$9N&0+Du+;D zWo&7_pd^?}Jd$*|atf5=D3a}=NHrg4a(q3Xurhc(AL&3DTEw`a%`6RXGxSql!hs!=2vlEkiSyRNaK)@X4NiLn(PrE?`6^7BO?z<=$+cO?%BK5uB%~0s3DQO)hMQ^ z%#b?=TqIztfb-okLr3+mHll8Kb7LNuy52c@3wGR>%86Wq>}DXv1OK145!CX!IcWbW z%@Nuzrl*GX0o!B)6KP1IUz5UdyOH6(g}O+Sq;NZP#$;0ZIB-K-4;i2;VEP+N6{Gbr z6m49E+;mLMTDH|8p}9h9iakl=xabx_#tTe;K+}fPD#i{c4E+%4fUUpJ+V((mm(~Ot zmH?C&G&{gz-5$)kOH(}O76E>N4BWCL!D6 zD0wVN7<0NHjxo9gF~3PVYTT*0hWPnt0*>@S7}F+ zE)T=0F0e~P;L@O?@lFKfwHemX{w^*AhlEcZiYAl3dRf=zOuTIOsRGROC{!$pa^{4~ zcC;z=Y~7OJnxHv8h|o1x+)H*Dvn@`G1jZX`{4gLR(@1XMw@f8ZnMV$w2|7b65(p}S z$U{HJdy_GGq>7484H5;4($w5}^$e`1B!I-?Y&f!&p55vMgyC4SMl~Sop?N=yJSq`l zA;^-bGnsWAT{lcaNaKe*?06T7TlX4^mgGeX3n)~=$c^>DEV4Z)jlsFWN?e|ws5mOJ zjV1gj0i(NR3{AJMI1?0+K@hr;GJg5!#_l3?R&QIV$w8$v;7bYEHqHTWzzTfm5uYU( z$%jkD1Ws!z)5%~+#8^}ozZeY(>hy?BA{C8N z@c`>2XU{`MY9bPW@MUZSXTZLagV|#lx0i8kYYv%9U_u8-OD*LMQqDvwrX6%kTjCyl zzt6}WMO+&+F;n2JK9#^?={rCz;}0^fH3i?A%8YnsqYMok2Q)HM1g;^K0DvBqEf{1b z{ea$9pGw2gw`NgwAR+T6LN4fLMxpqq_o!p!F4-SwL0_0?`d)Y3S*O=?6EVz-#{ct6 z(-AR}!UzJjHqH3&!5rsLy-iNGxcDoa<1|w{_3-sB-!3OWHOng;>q}DsH?L~1^kG=j zJ1Uz`U1#Q@Lpybu2(%GrK8>!d4Q-y9>m;uw)`6;K`=KD)`xqpB5r$J_ob%fPOY5Cy z0&?lIhtXVV>?@1I;ySV`Tk89vuL%fzjIuu4{!kdX>UkoZsjr&L!8?EW8PJfDK}0hT zI2M8{YV5A$_LthbAe>f$r+hSW6+;_w2vgtuO3lke%>9>G`Em~{Mv;#KnNgb7YWlbM^#;lm>z7KqQ8qXCj zsaI9sCLtCrC1}s?go?qJ+dJ+Mj1m|>wkO)BS)P>Hzv?&oCXQA6g2Xn5&PqWhg^`*QrV`UB`PNpt+&;FusYY0AbmGfshY2|~<+eF?BR>951MfADr57Xe3a zhTnzo9idh{B3D@o+Rs(Cq<&sCT=$_X=!10G)hkX5mbA{ySIU-IPOpXDCR zRDW)~qL~t!^FY-Mbo|T&ja*7F;6tZI+Bkw4pWV;tN#Is?>= z&g(dwod&Cz`68cn6L(9j^=`F03D&U5N;??y;`_>CI2H zN1)xY#!Wxk5(qI^Z(6b?FP+(neS@~HBI6wy?%t6Tgq8{hsmQi^9*U`T=gXnlK3i*v zaFlSYfj{C%wd8hOyl50t*1#MwwT>08=UUmFxl@tQ0Q*Z%{Vd10uWQIW`HfV1; z&^GjGBu=B>|A<69Nc^{N@pUWw_A*IVHee2VvW3(>ch}IQb)ThbaF?m4A6_PXW4bEQIb+QVJEYVuQa6~E$}CAw6MJJ>bYfikBAmX-0N^m2UX(|a-b4C= zI`v&uHwX)PL~^{lEsoG|r8--9|5$)eQPQeg!$_WM`rtS{qC0V9xrHToQ_r?$cq}5Z zn3}(B!d@z!Af6=tyKfH80@A}K4u|3p4s>JfEdam`*xt4Fc9!+wsl*>&Q9oo$sU$;$ z6g{o)t~Anb-`n~8b4h>GB5qcj!h{S>&pTS#5!7NmEk+rf*wtX5z9CB+kMgW+z|35w zCfP4*gp5B;uST*{Oh&k-Bg3kOM*`UbIc}Y3PD47a7O$(q=~PZ-c(%LYQh;Bg2FYiC zF+LIK*9e1*l{(4SlzF$_;23vW!&QN(SsHnLv_pF^KKl#9Z4dj4_wX|M>Sz9=xu-YB zv+=O~?Ee_Q>i44h_xQzln`Az*uImhZVzgw_2feYCUxR>wts15Q*(ip9hr#(;umJ9j z3$kd7DUlb7d1+&?6nj3XiWi|#B=m*=u(AiwAT7%vjJ0X&;l`BSr6K4o0HG6;9>Bfe zhz#zrI1LR+o`aWbAot?l1p&({Ucgruf{q2MSI*bAB45$Rn3=b6M84`8>J+=>!Gd+q z$L;PSvV8b@JEXz~l`MT$9+Uotz82-PdSL{y7;P1|IU!Xtgmd5`ggO>E#vqg zdB)|J%Pr->=K~k#v{4Bcj)BlfdOw(4YQ0&YHuM2+8!cR1!ng}|A-AdIKAE_nKL*iv zuuyW5&_{-Y78$hKq!q*++`Nu1H_Getg&*nW@`Aw(C>bf3J8<1W#q<}rYXN&TZqGnR z4#^mF=TsRV^yEfXYexY3#Y0j>wAA8;kebB@+jGn}iwpR$`t(vmT^N_z_m-xWJ)Czy zyAXijnyTS5?h>TI_zThldM&=i?dBR_!Nrbmk4xp6@tNRtCx_?9} zaKzGldu63GXRlfYBLS8nf5>)wG9z$!f?%s&7gYG9;>oCfhz1Aed^480ZCCk~F>;Gj zZ%3bZ=?#G4-r->eit&gBszYy7*~SuQEif1t5ipApCLe+3no@W?4Pv&SVdoo~jNV^h zxCXxO3x7K95f_SkM7ZG29T*r)KvA)Q7afr@A5r*}*k8EZQ3EOhWgi*?6*o zIi?2;Y7m}#7^9>r_9!jc0H*M0(;h6q1}3oJ5WzEaNF|8S#V|=wZ*`4Tw?tAO*c46_ z;>rq+CmOZo?5B}dv^KHt#sG&;#j>ebXhH`l%b1*LwNRLm;P*y9sBE;Q6Fzj1z_zVZy$#TB9-@_y0Xh?A zAxh8nB)wVP;oXD()}=HtX^qgUZ7wZ(wYRW6qpLgCs1}j0y9wsO00`_*$`%3E8~WfG zpYKUobO?s*OJroo!2#SwCtwW&5vLM=c3QOVbc`)HP?Hx)O~aS=`X@o%94{**rr{{) z90@)oB#cifGPZnz8Z@B88U5wzp$w;sXJ)L|A{WLWb2$P=SFLL z_02M667nl6$GOoElG#W5(kxt7*Vp+9G-A7?U2U#}ocpvX#eX1s0Wr}SFU_n31Q;*1SYIQY_v17PN8Co5ncJjTniGmv zOQY`SudHQ9R&ELJAu_@a?3h7cSM2n+%JzITHk^@7^*k+-^l;UOzs#hj{b7o;NI0&Q z2B7TfV-0s?rvep>CUNKzgfK}r6wiaKoCAWf78}KhhLM{aXa*(xjx0&W6Z%0U;o@iN z!W@Y&i!QrK4kQhnKt6u#%S;P*DZH_K91F{$T(fWgTn((EON;8x8k1p(pi$Ys39~AT z!<8tUEegz9oS6dcsV;@zN0-E*dT7tA2Cnnjg(f&kGc;g?w<_0eK+`<#3N^Uh_$Whv zJ+^yDVn29u=!5;;DS$m`V{VPz&dN7Ul9;rOZW`S;jU{aba0-AsJs_j?T=Ow)w338O zG)LUxVKj9xnmE$VI{u`4mg9&}Lel2l1|Xvc>eyV$y9EAORfR@l|6!M`2~O*P^ag1R z{q~pCCR^?zg*1?u_YK^$T#@lZNoUZE11!cv3ID0*_Cwgm8rHy-(w0HWF{HhTh%T zi6jEsX@`Upz1V79hn=5jf!ZWA%^c1W;}j#t@fO1RJ(%=Mv&A4d(+Za87zrIp=o@u% zz?nK6PY>x?>OfX6cx%yy?bEnmZaui%lcm$))b(7ydz@7JV$}(b7ROULcGPxlG=vja zZ4elL`xh>A-4)aq7$cCas~NUv1ZH84W&kSOG}7L#szCs%Z&|kp!D(>YWKfnz>%EJLnBN@#||kxweb0K)w?8+Wcc}{zMx)3B+*Oz?3(uECxTW z9R_l*c&dyn_-?&M{AwKN>$5>S4{0;yt@u-=n86i0rD#S^Y^{o1P(hH!V2d_XNX_c%)Dpq#8+Q%`%I@4B72 z%W!^Y?#N2C$k1p2G~3e{^FAjpf%HU%5-ne}Jg&AzlGjV>d}e{htm7D z`TTB)>B}>p(&BrCEaK=Pk;t~>b&+;InA5(jGR)ec$4>V)r}StiA6-l-l*CGEXnPCi zV#<*56n#$V`p&|?n3CorvTJ!K0?$+C$-?pNOo8*_(7{K=q@6tVTxOKB1qjAtjEJE@ zlpFVQ!NQKrGvQc>in-3pw;zxzc<9rL(BkMbsYjR`cu^xXW#OKcbeEdxN+V##p(Dv- zB=_T)wxHy@R7XVtA(4BWgXB>#(+ww9_{)d{;A6 z`g)1`eBhQ^)XeGbAXfzWt)NcRsD{kG zK9p^f-8S39CsH{rivXG*Xx;=Wn7P8b&b zTn&P{zYMjobAMK~Ik&)zO-FmIW}65%->lX)YiXl^IOaOrZs?s_6^CoRzzw@jL$*kf zFb+3N-=9_sJ=r$-0Y_1J(is2oFM#^Jl}Pqob<0o_qzNRUWJ;IKH7!VR5~7uB_m>nK zU*e*2kG-s1$O4kAeOOjwzi@PQldQ3wdZZ+R>UPO?gFSlrHZ9wS?9sBdx zb}7jD+K>a4n2@02@Ux-<*~U?eyrAt}zN9G*W0eNL3WSFn2C+NO#EvPK29xTRTJbuk zy^Hzb2idZ+ZWE^dU?_l@Y|s#B1|1oO0|4NWa|@nkgC4+D>DHB*ZSrc}Sg;GB z8{Sdqj?a}v2)QKeTp*j{w!%)8cD~>?fKhxVhWeCw4M4@=#3aq?<)I&Nv-$jsU&5@g z%lI&&v8b&ORFjaE1HeC;B~dLhQ*i?al}1ur*Syv253n2#Z&_7Tli@o}=#6bgWF$4M zV7qQ6eOh;QPyP+_L%EbVr5BvdB;F_cWJ~j_PLF_H$4GD()scnG*XHev*j;qv4Jz8xsu6q_WseyIXZctWK_Q7_3zE&zKzDaFcMDMHKtt!C2zZ3vVmJ7N#WM- zwUxlpop1CHIj;WoLNU_@4?^$|eoS-u2z=~?ct!zcEcc3w?GRXjt41lgQ+RFbIXI{# zsWN|kxe$Slqe%3HUGkba2du}j0bHJDpKCwg*UTWH<%T}|ns2Hm+ize8eUgqG0)f2w-fp)$vodu#9+=x)gF&1h)lob@Fm7{3vw3~3areky4;!z+W31I{wICUS|cUr;e23i&*%Dh|=$H9j!Z#*VgcL5Lm;utI-s6_IuSsx) zVKLSPB6weY@0LLhHvBDa2f?xpfN1(aYbK0J#@j9OCZX480t_s#jbGOO`&7!J_VFdww_qUog| zy9sQ0rFg%S{OUkTlYQP8+qZ^`put;Me1LHmFZ-pu+3<&sHU%Skj@eTc;i|}xjn!_I z!U=)zx7bC}k^caS1i-8cNU4|%n<0g=Y(R>JMnkK7Lj%_=X_e;Jw98XAP2mp6sbZat z)bZ$RBnXX!;YfF@HI25zGywyNPy&pvTiDX;s$%Mw&EQSm7s%%S0$`4GxR?S@+>tIW zFT4ccmj~1|V7R2z6^}J|#z42Tf}w>A_G>X{`vkCds9RMPwjkrzj{ceh`8SLqeO3T6 zr3^$ekI-fl?GAsvWH(pZvT%1gEx$5S`W{=Rw^K5&Pcm1=w%Sss$zOD3by{#n)L5Cc z=WCMY{7Y<<%H&YsEba8WFKdYV2FKJiIap*Xvx^7c8w*T$Th+9g0|RQt2O>1f;(*-tR;w%P9c+jatDrHH0>)nd@f?5VJ03WnF@c}Qw(VzhoEbOJjt|-KxtIDNT7i0pGG;J(iSpRwV4STk*`+h~rC%iIdTzNtzK}AId{J zb0Kgit@-TfHY)()pmU*3Jpv;!UD1k5kI^4^!c1=UffPs7k`{^d1q{?lUbUm^BcQ91 zCx?ru5zPwOkXOPq-ZCkfvTjt%Wy6LiG6*@Gc`gH`GYB5eK-P6E5gAH;UKP%PbZ}%W zbX}^_vumAW^l*-}7V*P%Rb(H2fMqi=Z<6lA52ypJ1UzAyjep*9$9Tq(f1c5XU0T?N zpvtYQn!1R2_TB_=VA_iQc`NprMGt3oQY(a-;D~VxS68h(P9Sq;?*~|)$OYfOl<(tB8rd0YYMnmJoSbu z1s6KH#)Xc8OTFUtgNpBFKle|I;((D84X_jxgS%vC8AjD&cR_)O2k=9pDFF+)H(h`FmumbMzogxf2E={wM`FH% zHb+1j2usBMNIZSPmy^RoO(rh^kf>;r`IPy|t}OK~Lh@A*IRcPCyKV9Q9V8i91m1kF zzFm@Gg-;OkaMd2gN{cxn=32PYT_)@)!;!lJg*||V!*<=7y%gm?tP*FfG;^JRip|p4)m`-(H-es3<1pWgz z=8yxTrO(I#+98YO!a+{F$dhKXJVa0FZOU#Yj8TGZl4HJ=Zbjb+^x?n4BBH z^6W4iJ)A@;Jdz5J8YbjYy6h+!YPm?uMT49$#oZ;_Om1&@Oz}$upk)-=(cr_R-Sv+| zz3C`cBI>@2h|3UxIKA7FjAGkbfep#gJcLclULMjgBt%0owgFe^O@$m03gytR$iyGr zmkNqh6jP%Lbwn?vbXMG!xaRG9nSKRsqyT@xXjuIu;v{0vW(%*G-)S7^mS>D3n?Wbx%@U zS7no}l1Zm@X`K5Ab9bYuTy)fib@xJg7QZWmWBMGi6;DNC5s~?}s1jQ8QN6x%AdJ`J zs9=`T^QLR-TIu;@mmKH~N5f=`@rfWi&laJ-cmtHKMamJsx0-CIv6hEScypN4IJs-A zWS!6#t--gGOF)kKd=z6_Q5YL#R}{%zULf=mu3WZ7#*1->tzdzeu;D3Rx6p!ACOCse zh$fuTJW9I7u`G>D25@!U*fE}U$&RckTp_{pEXH%3tJ9{Hb}@_u>!1LRuR>#2bw#qv z^3r1Z8k|Krk%vgL0}ere#))na`Nn@e--HJ94zs`Gl9O8i5br6a9RMH}&b zjyk~U3KJNZroib#LyPQLvg5jC&F9q?G8XuG-*Bx}R@aq@@XGAfA6A^ehXNt0@(j;f zcL^>0uf92a7eO~TenghaL^cS%^te?b;rL0~0&qWMtt9ZQAHR?BeP}gRfs!RVT44~I zi00Q#h@2fGV$>V9WM4?Z96tN!0AAaOd&a<|fJ!bK!x0C@m);sk&wE;frbvovCu@eO zKQtZ3w_D&EW4M?VVk*lFVB#^y0l&i_z4-kO8*q#XYzwNdex{hyDq!LvqzCMC>~dXj zE=Xeu5Zeekmd__m7%W%(uaV3Y%qbcC-hN>npR-e z22Zl$mmf1XH8Z*^&eUP5DSjk04)ShYT0ab?P*Hp{hC3@s<+2N%6pk_%cd=z%0gf`k zo)&SoBjb+^6SwMGTp4Jf_J2Q8i`yH$`*#pI1Pg_Fg?O%U_n;RMSia%^;u~*Z7?71& zRvfzABCf<@7g_lNr>)DR$*gR*r1gvs$|xg{!l&kE^uCrX3`L)@VIKj(ljZgJ~Xl}~o3`XO!V(#(&wg!PAmKT{M zx=OMp0hFwnrU>J30zBR1&7RV)e0-oK%QlnLq`fuNJYDCA+~#6uDL3G%!f`h2UoK&r z+~%}vxvh$pN&$Q_l%cuJn+@%75RupcTr)?xDDNOJ%dD<&tzCI#&WGp;jI(k|&Wo9`knuF+*lmYDofs#r&D+BHC6FmOO!!bCr73VEJb5lyVs zE{A)X6a;R~?3wIMiZE>gEeY224DR~0QFIzq7)PQTu5n)8aIj=vC(kVCNIG_IH5=-4 zBm*+}zS0gyYRuF+Z}KI4&YMGhWlbt7*(Bm=mgH-Oy)*LM1V2n$=g;S8Q&+$u!UBm# zzRj9_!tp;Uh|Nz+yGJ44ypc>F#$fIcekt)ERB5D5o^^S->UQSSeNtY5&DBi0=XsH% z>u1kF_YPuS-JMaWz87R=32ht)LvN$m;B@A$Dz1S%Ztmy{u;&~#3_BpN=ud#KkPzov z)(96au5kbZKNNNg#1d=PKsS548M#em6rvC`!f*skmK8{La2^a4|Mg+tTAQq1bsRHh z`$%`w_X92hZvl_r%BtE|91Di0eXXLY7KhS6`Xhf z5++oB<49;)05i_L1@`b~I?`$GddAWR7*Ff=sCUw+GZ~1#rezpt{KnsT6DSu$P&k>N zxK(P+-dLiUQSKFVoWl8IFo|-2vQ;GgpNJP+^W_?re_TGk!$4uU%8L*)tRoA?zsZu_ zgPXL!mSq2V@G(nD5CbD_8zAEI_n7aVuh?f=$lxM;#aUR`59s2rLF z_BvOErjlIy8XZ^0Gll9BiKDTI|L~_FM-GvkN+k)mT<~>BHTqio>Mdb5W z7Sf20CS#3&FV7P?xzKfj=!g{2wR;&2Nh2|+H-Imw2jW36(S;xz@P-4*a428`dW~#d znM3I09gd$lsws4BDx^Q2*m}L#9AW8D&cIV-*Nseyd_}}!h;Pr?kB_5zk1D4k2h@lI z7vPwez_`J^OGp5jT?D8wvFDLpJCY6#`OLEi3S=?(Cuk#aM2_f050$W|vW#8dJ)%bJ z8QU&!F*4r+6 z;K6Rvw~XCqIt82_dL=vB!r_DR6maxnVC#${+5=AM5yy^sR>eEoBJ**G70}i*0_9eZ z+!^#Ng%{W#Bb}Q=o73`BnlzfdRJFHH564v`D`x+2`ioE8lWfTdC3E7lG#II)=Vr4> zwwoGmfz@rEwI)YelU?d9m{-71?3IZt(p`d}tk0U=T}H3>j!KhO^|i%rbp7n^cxr*; zQ`;DBTVWdL9I56x2YVD*McoJdt0%cS3mYz$;4V$DtD=_9Ui}WqwtyomDwF2KtX?K0 zd7Q5sEn*zUFz2}V#{j;DR-giY$?P}Oz{*)|?(+5p^RrE)eU#b*M>5$<;#CC47iKU2 zEauFlHIprZ{BBQ*3=VJFw}An5OYcj(iy0*Wr~v|&H$FNI<0WZ$&|=8vOj_RTsmujm zpHZ>l;w(?B)r)MksRoy9$F&ze%}oKI;}AK6Tgy$-T?0rD{Sst29OMqBgyXhS(E@u# zW=4gx$f00vye$gc6N)e4XS2dJ%xRGUX%<-^ImSFe?}Aom-f6IFBvqN|9ylT*?-A@E z6a`ky^r(l9eWI#uvds9+Zh=>9vWt!QP&rP#2t5QxV(61~4ZnJQ0{U5vqeuIayHi?t z$N}2MVOG@ferbg*&G<6%DQuzR1PeD}4^%{9g3n`FQQ|`ay6c{tK8jee>l?rIrbf{^ zSk%n*;feerE4bM_;h$E;ulkApjo>}o)NTp`$(?XTfc~& z&@3AP>Bl#Ad76^Fm_4_AD(4f+qj{8is#@4jEZ0{Id`5~KoVcA7W_*u9Huj0HABDf@4B_8uX+#26m?B^4|{d*PKQC#Nxw8WD!hI07!xg zg_Dl}&~nJm32ZmEMTXWUWzj6R2o1!}AT-@q3+D;QD8kV4d}#z%G5pmNM1P|iiYg8e zdOk|Fe5%zGIIg0pypS`DV(>um7d}vlXoXqChX0l(f@8cwGCu2Uz-QqQyA-J06%KId zlWe;0$Y5<4D9n;y0(MA`trD)O)R44YlE`;JOEf0%M^)S7!$D6QT(q6wooj&})T&Sa>0g|`#6AbmaImN9QSwaa=a#p$r{ zY1-OV)pKMAk{VI?RwSw2%cJWj2Qcqq1P)$|2vC`nNa;pd^Gvb#P{E4xnR zg>J0VVkl)DW{XkP#Qu1)VrqZDlt@^P}OZ$=Na;tz6MFC*Y)oCxh8BI4&O%g{sF_0%X zanD1I)169QBA5+<%;tDHr8AdOE-fA3jv`6v(jG-#OTR_t8%NzaU4WoUI>%7nc{)#b zVq9)J+UrC4=jqsM1?fQa80d7;{!=h`6CXf)$wSj;SMo-0`vQ96{*zTvYF2|g_`nnwW)|E9Pz6v_J-T%;8M;1>ppjEJqmUbaE*v&Jb zpE0yra?KZ)g2rwS<&If6wz!koy>L%XB0Pi>taa7bT2y#5(m@ZmX0B$y>D{5((0~D8 zC~C+$wfI9Cu^+Z*6INOG0DZo8I!cQ7pu*Dx65z>aNPICWSAYW z<=;~OJi{0plhqYs&XVOa;Z6OlvQUaet6X-f2SY+3g}j%n*y=$%soanTVfq=!Y5|vc zlGTuiY&&LdWw3rg;OnD}F@+#86=Vp~7A3z}BBnY8v9Q(SB8=bNFpdh|TAAJETT2I1 zjS2Qii(N5uh?U*07*x&DNcrKS}*6Aq#VTqfX=T7l9P$E^RE^`rOx=>FyZeE;%K@8A34 z{mb9DfA2T$Uw-5M2 zSaU-gVOq_q;~YHCAcGhPorT#}yQ&76!V(;KC3WTdm+x^6e&9xQ2Rr*N12HqW7$TgVByJc?%ZXm`C26sJW zl?aHI_3>AKkGj#vfB$PA|N2+%Uw-e;Kll68dv=HlH*+96qn)x-?bL1IMMb0U8vDzJ zy3zZ;dH>!AXrT9KEPRg|OTN1K!8eAt)=S~WVZ|p!fGx@Rk{vE|Kl;-T&;wuo&X51` zx2a6`@BhR5_x{=a`!Da`{|fX0vjKgQdNrb0X`RcrRJ@EpE@F=WVsD&^1)=>6u7nz@EO`=ihOqx+Yi|M(04 zk_Yxz`QN|hV*b8Gg9*rTC3+H~aCZn?&Cc}O2He>!9&aYP@&WKE%;l;>>7bsme)4;NfF6!F{%syQUze9Y%u?^tJoSP{Av(-;MKAn# zrlLIfnp3%CrL1$A0fndI{(V}A{%Jp1eV6B%FLA&6BI!rk7u3wWI!s=VGQ@`udRmTN zWgZGp5Yj04{QttM#Bbie{I&bfz5MYP-oJnOMXVK{d(R?0RK^Cr8o*Yp0Mb9v%Xcfv zw?GxuV8U;#AAj(VKK|zazzy(C%!Tj$3pk$B@`d^$MQ3qLH!Yr7S@HUy_;ywWR+(kE zsOYDTMts&bG?%5#(8xdf?r)R!pL~Ia?jJ}~|M=VA!`&slGUNfIIZT3m8>1Y7G0LcGYD@9K)u?29|3 z0o#N{1%oFp7@@XR2ahjI8kAvMN}AY(p8p0!GJp(k@^uNIB+9c~(d4;#VFBm~ubXno zO86$$d-Ki`={upKh_M81n0k?V zm89%d)h7ghw@w&Gk`NRn3DvQlrh_MePG_qXu*VlPPBA@ZtsvOUE49OAXGJk3Zj*Y? zyg(0>RoUq?D+c$jmblw3hLOP2jTR)?6^*o5_sP7 z26YOlZ&XdYuPf>hlQP6(S=DmQWp(+!Y+564%-VGmUD9<|T;srfzDAzETp{1snp6h3 zy3^MbOv>pdHPZXEyAm4iReh8e{O)5J_ELr_*=nDYdOKhL&|TKtR0!fJKp~Vg7m6I& zX-A)FWQj)trxygL+4OF>OsyEqKKp7%o22S2@#K{`9^NqcRJhHUD-3&?dDXr`>qV@Z zQiD>UTjkmOi*tjdLOGnviN~JnJIiZmc9<{}@y_&Wrb)xT6o37#H{Qthc~hkzdeQKa zrjWpNCGYku!1BPk;wh}bfvpM`Hu-I4XldGdWR^0=o1{1Zl^Ct2R!B7j*8vrp34Fz= zpsH~~zs4fonAvmMVGgQj&uzu$suYNAa3XK+c4iB|gi(T)y$s)+2+`u@T@<nB3Aw?*TqS)q(= zA?2J3`LqjRR;#Iy`5(UVMw43gcBGJ;QVj~82Ml)o09*m^PSDA4jM6oHKu{;w@N2xJPiDitB4!f5_<#Uj0F%D;kKk zUVpqIpvkFD540_DQ4VS;)X-DmrN%zdgs_uo`y)b+)u63C zpVZ8>^|XB=GG_QQ?LyLgwFNVl6atOoy3vKk=^fSJ)qjUTPY`s%cB;z+{vfwlTYy37 z;%)gxeJ9PqdnOxa%%B&=X86UXJXk7Lpw7ZS{!<(qjy2JQS2biM016*F8Txng z>if8o0M+vgc<@eMzqN{>iMk&Wi?of{UYLPV)A zo{8oUzML0iP~+lLhA(Rand7Xc=>!5VPx?oCs2Q*GW`m$k4nc#rRO|;DX6?Km>=*$F zz&&vJq<=U@GK-sTnNxYFG!EtvX?gy0u9;37!$9;`#LUHHiqlXz(8qu~8TSMpw{UAe zR`cO|-8N}nnA>hyA@&~&{P|18F)o*grzen_&JW(BiP2EJyXW)oyn$!A1IkjgFe(N@ z!`bdVeKCgOZ9e<@qo4AkTT2&SIE^Zu55p{x!K$Sh8`9&gDLea-ps@2tSgpWwb1Y1 z8vdM9v&_mH+Azbr6SrH2Vjj~(&L){Y;?*C%`g+5c>1ZR=&hzd0+C8V~m2db8+TCY{ zLcFkb11HGct8bSHO>vGVt<7rO3yma;&?ZTsBV=2c=WXgBh~HvZi@;$NF<27*B{eh# z5=^a_DQSP7H--Xe=XejAG}OUcxUg~~p$oVdrl-?M7ctj1S&!S6>?VX3thPD)Ci(qy zUve*uwv*KxQ8E_u{Jvlh+itbW;Tk&hCHGSO5Uc~J8We|gkTI&a<7CGdufDy{UXZXe zG`9*a=)v_DpB-1!r8zcZS>2gs2Wtvv@_XT8qg@ct&Jp^%+tK?aVXEoH%=de^W|!3c+4H_C5Q{UYj9KLl?1OLwE^a}! zU}~zwm@ME=s*xrV)<_0N3qH?em$Vi;o&5AF6|00#E^x)W6dvAv#LG`rZJhV@Es1H2 zbXKBpD5P&9EUtjY;4vEI-K?@DwumQhMI)Pe(PI?J8!59j*wHKMuBn_=D$g7^Gr5GH zL@SMhdXH$O1MSX~ZE9GDPpZY?ve8zS#&!;tKPpt;OrNlxuDn#5u<4%!Tj3t;lk0K0 zW{eDpnjN>iI1xQU*Dt@NPboP(ANyB_e=7dz@=s3;YTUh^kb;2~Il1D~N?cahU}3eK zcl~$)+v8n7T)>g;U7z-5u@%1SGl6ZB7q_Pl4^u^~$ytD03co?P{;nS(kbr)BICdmW z{vxyi(p|pD`iph*DgANPM-WJX+yze3p~m$@jT7sF*;a%C+W-P+5N@GS{+>2neq~Od zNQr_)N-P}qZS;1g}6d03OJ%o`J1J~MHGsbK*{IW)Aghcz`Kg-<={~nZ# zrMO*aIQa5zL)~<@yRz>1oWf|p;BGHy{o0#u;6*BQ1Jf}-YbxfOmq_N_jxxP6uj#S7 zU}PtJx$tRGu($Lvty(J#eTTXcPDSFtT$@ktDD^UF+bg4S?fE=tvZ3M5d63!*xrEbP z9P0IP;4LDTDaC0qKh7z#?G-awBQGzoBifbq^>GD)O8GWt<=A~*4Bo;V*}fS$@sJmF zb`N}1ijR7t)4XtKu)hJbGuO;>m5nX(m>WAUdy<>qXBPLFp?G7p!hj|R1^R8;&YWbV zuxE2TU8%Ed7^==a$%di%7XE4b#qJ`aVedIHj=Yp}`l2L8`BL+7PCg%BJq`Mt{0ljG zAi<^yMskWya`JwLoQ|3<_7^_YC{{K&)ZO?bpWxwq9_|q5jTcarLKW~So_(5?_u8ze zFp`z(vvT@6k=SvqJgQZo_%PEy%_>%}&C2U*6-}EDL&`O2FF*FYXc5w)8@XUeSN3W9 z#qQ5Fr+}m+C&xd|=`(LmtqDfQYchS}$$wyTfc1g_AlC4TqSe35aN`eHPQU>H4l z*aCeNMNbT66^B*U?Rv7B(Wq&r5)2ySTcPvBaINt=Ls$H*GbLH47A0W=FZSW9_`?s7{KhOY}VPBHSLM>A_bF# z%g{EI>c668LgMB3IQi=#eRyLu04Hfh?1zQ(9C&>;6_e9!mKI}#!+i-?{cu?1lUo(> zAqlqgxQDQ6oiGRA6gGAsUm>d&Ze74GK~$2JjS;|nNsQaA1kf&I3RusU`T~kiV0|*6 z^PP!fp?y}g_?Eq*)=9}%!a-o+EYmCww7Ij=C9b;bj5Z#-jBFHoL6L>YmX!njLIlfwx>$ zzf9G=S^j?fq=tWi4H9Aj@`&(=@EacCQU1udkxM{mW>I2TvVkczEv6-!5o*z5(X^m% z_W}tdn8j>Cvq7w9$AIAbj+yx@BJ<|0?nat=8+)Ih)ClKY+^Oc74O`fU5-!JoFgl5$|D%!fsc{)UJKv&qzR^@KTuDlr% zJ{vp;eTR5G^%fQvtKVLmeBHMN4|FgkqrefH=~$AfYu*+A!;f@$7f~_<0)}g_^6NH_ z&ZT&9aAlr;okV~cf^titYN!U0_=tc*`gB!Cs4c0;8NMsL$g0~*j-eg85h2Zo zqz2$n$K*&5h(Aq0Kka721HlcQ6pI%ph`lT`2}ZO-5w1Wnr-h$aJ;X#z7ir@`xQZx4 z(G^AtRtq_}B)-x~iH-s+#3uQ_i48${5VwVR5N=9rLF6hVS8cC?O7$5U)~kXDSnPC5 zJa}ymh2n&b6?-IJa*juchApR^ZPvW=K#ukg*lhcTAXSRd-9zj1Bwtvd6@RF;DX^+B zhIU)@gpfj2k=+(ckiDg7G=vumw;JX&5Kv#@4a;j4mb`6z}C_Sa-{k3;f-f z%6DPLUF{-qE;Xqf72p7Uu^VYR6~{nc!NRZ=+dQE?t7`aT zH6(1wV;nwpkQLq2up8}rhVZ|?T=Cd90=%7CtNhdvDyiJGcRGeunJ4ixYfU}NzR>%h zggUnaU@Wy*N{L17tUvL-pO8~4;z->lBi^b`mI;Hom1BCmHe^_`Y?i=Ju|jNY8S+Ou z^2zXc_i&HnVVrr2($`v7`K7hBE2K=U`vr-HaU%ha7@oz8JulAmoq#H1>#yICWi-rY6Ds*H{;l6|VL8{$;mTz|aHfQFf@5%1uLvy9;By!{ zo(L4AQ&~PR2gPMv5Zo>VHXu8_H0_G~PN)eMSDR?ySELpM!WARAy?H)fV5zVgn^!9N zp}ixT7h01f1Sl;97C;4twToth0T_?s!ev^9fD_YtMR>dZUR{HDOr)@!tySL=94RmnnpnJtk zXDPgxe4{Ooj&;lzbltA*RgovX5&FSR!uljvrUY5sD`ua?jE1;qmI|Y|t@1NI?ep`Q z8a)2qDP=PDUZ^@;1__s8G)k9O#iDpYoT=WE1`O_{79MzBFv0YqZ)&TCEpNbY%bm=# zzz`Tl{F!t|a&dmA-2O6Idn&hE3hTs~FDHZd`Oe@=hQT+sm|pOqUf4A;E!33fYNUf5 z+M68=ImPqzsYNep*>gyYAiypvL~YT8yhEI(^do6DsDjWFzenMED4#b~j)HOA>;0sw zk4n*ybrXi{sw!@3918RnYwRV_GKY29K)pqEH~Dp0$}E_@?fYZT5czXO=iUhs__BSX zU~Hd6tw}o6XjSE_6}?mY_Ex9CB+ZuTWG&n6lx-@D=CYDe7R?etoght0wHY?1NzIg& zGkH0&c6;8MUa&tGo7>ET@%>aS8)p){31Hye$sYyjEQKFh>!K83$UWnO7cCuo%eQ&g zzUsB#CebzTO!+t%J4iqq7;-0+81|+aOSVYl#j`}dXSF;D!W-gpx2$^-CG+=Fd-J>z zs$LDZdcw}ob{1^=J&9|vTfEjP@wnWpUEjC%u_7D+JmG1>PH{+!_af-ZfP-gkp~5aXu1{ydRI3sxqyjGSyYawqY;Mf5nt5bwFL83L_C%6o|n3$@7tV;a|2nT(jIee znDq`j=rh3x8fy`g#U{f-4%rTm z$oS!8rh!&GvUAkmx;?1x?V-Fnp6iN#jaAi$8oOQjOxh4ezjVb4`HXcmPf|Gs_pIk) zL;H)bGn9M1zjkdtd4G5$MZt_edI#WB`xUB%oRiW&0M{ z$Dcq=`UV4o_?Nz@+w`>Ou`SPaVO2?N!b6ZgI)azimUOv$@Zv{jN1sqGgwl`?*`w1! z$7N(d4l^Y1=|U;DKRjm}B!*KI7)llF4xSwG=#kW$`Q<>|;s<{z)4eBCpNHDd#LUBp z)q$6}!1I?auL~lNim9v1GJ(B}rnUDJNlUPl!D5^WR+9CA6ofjKK7!7}=sV!r!np!XVK2Lu61$CxE3xYoHj~Hp%Xc1wZ;~Nzh~lTg8ld z&rPW-c@T;RQd7NOuuFGd=0G!Mm;%VqBv>?b0 z+=*P@;QfkJwVA~?!!SVB^yF$3xQU2b4gl|QfDYDD$6hB!q3YCxzI3DbU;;xc(=UE~ z`a!_Z8lHb!0RMdxAt5GHsLL`zxP?+QDNAKq13mHJ*WKgYHkoxua9gDGT}4VmSi;rioQ%{&&y`_Ja)8d{rML3JceSlqj73QlS2*p+roGSm>I*k@fS>=FLaze-}7y=yY;;g5^h%57$_02A=`m!tmy_ z%Fn~)-$rPsIAw?gAjcTpwJ8QT$(pY8wt|E`lQTm-aSTpjSIQL|ItK=<+)J;Te8n5z z*_U-K*tH)qj>=>H+1VHYiqsQBwKooNQ`Exa-KEwENhN!=-tOP z>9$Yr><{G|IurQZ^RiXBB+rWb+UJ{U@DGv`7im6{T9`{ULq~P)^QL+0+v@{LXpm0} zK`#vJwFh9?MP_mdCzM$46f$>Ho``CNUU8>r$kz8{nOm6-?{($wM1yhOQLjq<@o&9F zWkKT*i%@6Gy4ScZG#hdp4x6VeQP@FaG1(c=%(^tJ4~b$M5c-H&Mgg%?BX2^B5e|h?enS&> z1x3i0-N_~-wqzPjc``hc&jES>eLrZdW7jRVv`~f9(N7jxc^U{4m78#9XnycGyvNj0 z*`is&9D%8_s`FW1bfF0XAN$L|!x5RhOe8;VZB<4BR_SVwlxyA7ZApQUdj`rhn$dH- zRmI9yq=uPu#7JM4=SdHG!r|aWZWK(pJKnCQg3t8sw3ysUChnZgBf39AM`DwCKEBEa zHcB?9_i$ey4vC@?!6tDLMhvKs!Z7RjAwk~o)0j>6TC;bmK#cOaDNv?hPNNLXKI8HT zUY$6ZnmD(4siO*pdJ*;{7^A-MY7zQ7jSuSXxufoFdEND?xIhEJ%a1n? z^EPi*j}m4+w6&aY5*AN5^;|#oU03`Jk7a%=ohXpA!yrg_@JZ^w>G@44@S#o|`(flt znD@+R^P^C5P0=o{MZ!39#Ndai{1WpGi|wg5$?s%jbtS-Bn;*Wb6T(tWg#j&Eua)l~Idw}IXqxKt0khtAqC~Sz_c$OPw zqUP1w$t)EALntsPfp*iAaQ_w$#6M_4sxqXIuxbdqQjwe{=#YRn^kP9QoDUg?JGfwx zt(sn4n}Uaxh3IwdvFA%EMjH`_w3FDRX6L@y^pa7U%K18Xs^YXQDyh_VQ3}!r=j|cK zO5%Hgb`@=oJXXf8x2PpKb$Q*un;1?kdXAE^18TzMbkijLmeii?$V?g-+V(-bKyS)0 z_xEHhPZn!8L9&{)`$Z!R9+DWuJ|R>AH#HrNj2n36XKt|iZ8ZH6Ip-WS>f8!Hl$LunuL zA9qUE$k+?Xj7m51%AV(Zy_x46O zs3#J9&xjb;wv-K2@c30}v_rn*W;kghS$(%T0bwv{dBex|$0$#e|D>zE5E7ot6KApg z$riHXt8|+hHsS`2RiExQ`F2bCMY#fL3F#@9q2)<3y^{%Ki@2e?MOf3LW@y|C+NwAe zN|@?%-4LEBs2PNG*4lCiZp4QWYfN*r21j6f>;p8busyZK=}xwx$rg2?m#n-pw$9MQ z7cK=SGMzBzD! zk!vu!rOaiY)8m$B`cRk7EQZcKO`v2XI`>S6 zSbLM(pM;|0V9eP|hVo`Z&L8aI_wW&F*wq}Grv{5h=KbsYwKqC4?J`S@~U88yorBHb%V`Krdrn-?#o5eRGP-4lS#6segBl}7; zsgW)U>T|63#ZHJrPg-{BN1D`x!hI#&cbDyk;c3e5Wka*^=4B{Rd@uWqT-^EwgCQL% zdw+17N6oxt&7v_=)M@Az)rj%fh<61hso@QwKpp-sx8ddrCuJ{Y{*X<;9zr|!FZryG zlDp0230=C*KGNC8r0dX9G|X=6!lyj~(6mYWnVFSAaiy*txUv2NDaH7EMEq?28Jpo4Np(`{9M#>aDc zrcWqVE}fB2bS9ONFCjt<#1ocn+F>m@uoSUyvlgP`ldu|+kM|=_o9u1hoN}m@&U3LV zIy$M_XQjf6|4?h6%a<4O)M7nsw9J4+CQ4>Nljynj`p#Nyl3b zmD`#U94Uw`;Os@EGY!S6lT4w!Gf=RSoT^jbIr1Xu5o#D;zS)vle8bP3qMBfM)rFTdt!`}I39N}eZ4(8P3NyBsvMO|zJW`5O zmeBhT=(T#ctE7uAyzVBQ0@3c8H30!wMf4*TZz%Ir!=Xlz1Qp+PhO}j4l_B{SdYFA| zCNZOtL`ZZhI(xOY>D)Fa#UMGhp*r%){r)fhqZW}uM508brc0V$U4*pQ$y&*L^cFvR&{$8#^YkwSK6A{DhE+poC(Qdy=uoo zzxA^zIip#y>`@+>FYRrmz`K;7qLL*N!I#nnW1llH#*%TQ{@)~gxG-H%&5=5Ed$YoQ6eQk=3xt6NAMruven?wp~p3?1CVc?#HdILr0Mn*|p zzsjd2o_t3+A9-A)4EsS(LXq~Qs(2QwU-|o+0Ju|4Ymv8T&gRSS|Jk1w&pC|@PPv0K z{s;jCFoMxRZR2pN*9Ri?Ka$y#_{x}aSj6O_fK=T!Rvg*DPRx%0qkWrCWkGGoU$Ers zf9vO&EU{+G({oNBh({iHvE^3E{p7iHuo^P%X`h!Qx~F1&z#sBjI%}o6YBd>?_fXpp zReg~nwl{e>+>EE`d1BP&=QFL@vK0#7S&H(RJQ1%+FE+iz+#U0>MkQ*8(xv5!8`J|y3tp5t+Qu1FYU;O& z);Um0;-SE#=5~A%<9P7sIF}5aS1NUrefOyQ;PQW}ftq6B`z@@bsOy!1vQ`*B|Pc~^X}X9c1*Ul40|3nRTAyxv@T zx~q~URvem=1@jINvbgxB9ccb6O9fSNO|Jzk>`hZ&Yf-Xqnj+BxBO_4V>ZlVOUc^Y3 z-?lt02Oh(z19T;B+3x42=RuUX=;#hl6XG!>%6%-3jnLTm6`+op+!wj`2AMmTncWVs zoBE|%RANL8VZW>#3z7wQdO4X(TFxD|B$~9#$BKp6LqpA)8K*{?((&sCo3?PXs~HsC z&fTdr)^jnLvPDzGkJF5eH(2VTdZ8xcjE6PLo0>G4jO_USniYP17K5Fr)}cJ_wH1pK`L>alGxfea z&q~Z%b_cOvR;&tn_iQm{@*|O?z`@KE=Zu+)pZWzsndw(4F$+b>U);iut z{btE&CAcaXPs{Ls@9jh$5@87Rt^FG%ZI4_62u5EpWG1K4xG_<^-%xtb`LqAp$7Hj8 z@l5_*n_oRF2LI&m{vCYwoUx8T-!vP^q$bPTP|aof6K1N+E;-q<{`;Q{j<(Rg zwYP11wtsGK+W}X<5~H1v`2tp3Z@0(%1RH}9>V{>J25Cl+MIMuB0Qxl+oC(Pxac?#- zn`tDcPbm+TtYElZ=3&X{hM1FOW&~t^k ziEKr5k`q{-`n(q;A?zvQ1GOf636Z-6A=D$EwWA^03H1#{oZ)NJCSn*UVKYNgN)l>m z*Sr*H&lldWl;`@=9!mPtGW?N85wZIu@bejgmp;`m1rfbg_4A+q>dPMjK+*28BL+j>l1S?MQ0RFfss#?VZdR?CV}z7tB-wA9s3S?H>-*Lj6TyCw;PkH z6nYcn`$Q<{IOc_hU_7_>mp?|{J463TED^jVEYJz>B?^Yc9-6u$+0RZqvKZCi5=+!e zd`krva5k;b5+r-L_Pbh#Ix--^Po5YDk!HLMfR(?qUx*B%{L_hBPM}40K$cqn<&VDm z?kX+->eLTyd7)=b-TbmIH0hP^s?c*6qbqnypfvCuI%U|;vGb9u0rZc&QBj0ddE|r{ zQ@M!~E>fj$rAk$*?AualSx}OgYF`}7X#({gQqcW~gM~>lQ>nX27BUuTW0N+1@@~?$ z4KHI;RjdcLfG!*_womz^{gLp4m0cg>&^M>9uQ%mX^luyFDDq$Ga}HuxOdVkKB`Pl^ zrA4p?cfy_J{lK^;I;|3C0po>0^I3S40Aq^5*|{XBQHnE1RvP&?Z<5ce+kg2zQgfH< zlO%W+3LY=?Zr+A1K#C#4*g85!fTwx=h8XwhZRXIecYW@-=JkTfbAl$iR{Z1dzFR^1 zX~)W|0FI-!OrZSMXCCuXwUqW>KH;qwo=`^-B*6zdLX7FHRgLL~4LYS=MYu0tB7HKf zbP<2V!uJ%yT2Imp>#hXkBG0ERu-5qs{efxy6cesOqEe&4bE3q5N(j%fqjTJo%lV%8 z#Dz#0ij)TUJ+(IZk(lY>Qy3&pLfp5MJm+5K`cK4p%4?J=!`z4ym?Ei9O@wq;abO+U z6et!iDPlMEoH)d41^LO7AMw{VZ_$=m?NFTn#g09!0ZHg%0ra4SthiG%b{g;aQRV~z zEV#fWcm`~s*&BQ%abXCg$RTo(VdBLBa-O}U-b$P}!cG&rk>{iY4oxh&N0n{4fg%w; z5!Nkagh7}}*rktV3al=NC5M6XL^%DJHxO}>E9;h&Iao9 zY~UfEXAwC9M#Gy8V)tpT=o#0%u$UXlcn@nu=7q6P#((*58-dt45i|_b?MRLwqEG62bHn%^4lMQQUEvwMyqfYrUqOK))H}7}xF1>@ zsTF1W&uzivNU)N2ya&2N$F5|?LwZ$WA4wUvg^B7)Qs|My9_3QLCS}aB=Ju)1m_IWVo2|dZ!r(n|dkALC2j;vQYiGN%xP{tX{^RV121Xjk z;(1YbyaU0T+q#huChp}^Z(@n8c_S&cD|Z2NNj@DUsaIbY=Ve(s!KEa_^5tZcr{y;7 zSVZxUpSj`cVqyY+RbV(3xTd!q9m(FPo+rql7^fw+mmQSWx8F~c+f^0~@UyyEhz@!` z=~y^kj0}a_z#i#alZJi*G!5@bl_tTGLy{Lr+SiwoY^Koix7+)&I5?E|u?S_4Tbqkq z0V^<;uck`<5n)n0TM=AM{kfONn35sM%ITJ|0PDJfC0^#1!mz!U)U+)&(XKe2tHS!! zAL&E!R$)1oL*raMWZrD@HwJRkcMKY_nqs&6+Ur^1OdJzcAM4=2PxK>{t>7J_5vpq5 zSC$J+Pe6Njg)k*Rm3efA2Q=o2Q^{vz6very(H0zRor0R`nL{V7kzerlboFMo_>q&SHU2PuE?>+-o+I{`0Mp1hwrsrTgn)M`7z zd)3v}`HNpe$U%Qe5^^8nrRXXADbWa51<_p{^XXF|9{(N`z@I{Kddlz;q~%z*nv$QK zKmS#Z&wu_a>{bzZAD@z+k{LGnskO_?HkUVwzxY!rI8n1v81(lOO1@|K@QGgV&R$yT zz|#ev#qp##ZHJk%BeglIhjQcFr=r8^%lHn;kp{T*=z55GZZ;)VLuP^Bp#QOT8WMc3 zD$>`lD%1u#a>lxZthTlL^2abMkQf#`exzFW6r+48{z^p|lmIQ~&wtevFK966-AIl% zVxNtA`0~eH$HR?wQ#V`ZPcmgMPoa*Y6RdyulfPzPOFtc=45qg%u{hfK z#%+t28^^V|#>Y<*2*#M~!5L005e7My=T;8>@A$(J=FAs@0RnQEaD#>0W#TK}$oul7 zC=-{zuZT?Jgn@1%GH{K^cfu9(TI;=I>tF4rH%Z!TM2sHF)h!$Ku^h~!8o05EdZ z5>1>9c_sOpD1YL&r)!V;_QV~7QY~P$unJs-s~;0+sqIyg=mGHF)j;x!}%)U(< zjcHXVAfx!{I6q085nx^=&Sr_zF|k0w4Y(ar-Y^RFoL?kkMCN!=FK#2tx+XjVkhD_a zNm`#65_OYr>ieyf#^k=XQ~HzkP>9~-RB9`YQ?FAK2Va(%W$MN2v4TUN%Z_Aq zl+@uob>^s$KMAn)?xjtV%+R3B(~<*Fx2bqV47$jrWI_-Zr?Yv42EOAm>IZ22J{OC49f|=&zqLWYLP*yKz9lE-SJpv znu!F8=wsi=NrfZn7ucs#Qgx9y!*`+goa*K#VPX=Jf*sTQDUgK8lc4vrJc)H6u(N_& zm2kI39{$hsCG*uFf}_9;K) zFuHSVk=5Fj^|9aNPcLTD@IHTwbIgXwqA{{fnfH7(67qaokq2bZ3CEEh5n zj~DG;lKl`SkJfD+7G;>_^I7MV{19T#GnG>BW{=jQ`pe=^OEJyo^E9XI2RC}OZd>lA z^7D$^6y_#R=d-2ybmioSk^t6b1r=gB|oA65E!D=jL$DDzD6G#B)e`&-|A zXQDW41qgqE708&j_HhmhZ?Cxvz((8&ojM_)gqnt0WM^M!jHjIZq zmPc4t`ULw-*YIYYtE~Mo>%?TuO|KW5>jxgf!z5^JK|&WBxjbr5Il*-y92kQz82MS= z7ZHweu%Qt_ou?|db;F>+O;eEh_K!KE1!wh|Or$tW5_M2EV^w3*wsZwh0ZPFs+j#io|1=|<%e zPXbMc`aw}@@|P=$g09Rp)ZV^7?Hc`z``LwO5x4y>b(l)MU;1Q}>!(I;>L|v5onY}p zKPOR$t*CQ$(1)Mx3awI-Xq|Z&PsySBnWMplNu$vgpT&>9JoWwYmCni0GxiDPys8|t z!IRZwDS(yYFs_NnR{1_Z=B@UGJNC_af5jID;I=tW&sxc9aKiS7UdCR&%6Im*M;9P7 zZmWxao)4A5k$P+(?5J$s6V?VQWvjlEGIb3BBtFk47%pR^+G}fIxUF%#zFCc z?@m{zI-WB+a1p2VwB`Sqk1uy>Jk;YPp5(Sjt{CT$EoL8891Ja;VStW|yS)>2WUO)n zY>=&J!ZjM3kYKkCCKzyvcSZ}T@*U%w#vGv!BF9+e7&*D1&Y*uVzHAj#q?Zqk!(|J@ z7|KuX)W+F$o)f@Y&yY#bsO$f`nVgGFQ$zfb5W-*n;Jhcc2XEU^Je3O}PTjF~iF6aX zx!)B+9>T+~X)a&>UcY=BL<{f|f&S1WWGg-m(on-ddot7>z?_|^5gIR*m`hS1>uPvZw z0z;L|qD?Laq}7cEufkQ{90YiSFuFGnc?@{-kU`L^uE(~`CbBx1Q*M@BR6_Q z?(*RWGIwDu{8TiI?qu+HQB8s*vW#dzQiO0)gmC6U?`ggaPd3&GXmEP36tpa+GUHp1 zd9KnjC7`2?LgOizw1VVu(>ry)E7iYg^W=>VmpKBxZWNx*!3GRKFWO#U?ooDzOxCRe zBEEUZT5J3&r3Z@s4P6PV&2uAwsnHwdksvQ9h$DWCcN1|n6lhuZFud0wi3uw(cd=}c zDT>huHOQepM684%Nh@X5n1J8;{uJ6=%}4)U=lFNZlHC*~{YqQRkn*s!4U=)i*iY^( z2Eo0CxHnwlH{{E?;tXC7>*g}#PZh$wQwXBW-xdPvghCn|njm|l2#G4f6qzrb7lEje zirOoD?+i&7^Af|s!1H~?SVdtrx$?faj%$=IRpg=*1ToS2_eu592mqPby+U%K-1nf= z9-*}g_Zippf~$JPTfnL<>@R;`O%0pZ;jP#deL=X$ zSrSZk_U@Pef}k`_-iwd^G?#=6U4bb_B%+Ry^gr^G4Sd_|b5@xwP2J;E}87CchH-;luYO>q(^%B{Uo%`BK)Uu|NN z=yL2;M8cN7+0cx8t6OsnLkVtZ3GR#Ovk{SwcuaEybt(eI*~@*8z3t>&eOuLa(^~7Y zD_@9wy%Ij!zO2L+PF&AcUOK}Cn#!J+MY3UKbdnDvwdi`j)zK?dL4odxofvqLOmTZ_ z6J)U1T*U?|p4FX-iciiM0u#H)1dD*@TG|zfF&Jc;$=v9Ue8p{$#XL97hfqMZd2+U*bRf2 zFf$Yporoj}UW^6}GD|vyw~=~nRKQTO6seMh7(nXujGj@B(blTc~h!;7(k3sg5+u}VnC4jGI>$*r^km0W98>Qa-L zMGE~@$@BF0jB-`b>5xu~6>s=#5Hrii_a|c2_Lr&Ti4iNW1%ns``yUP2QLF$^MJAmF zCDvj@=i~dn`WNq?=;I=YKh}TqV|{)?1@tW5;v~kRs}Yg(dAbS(r`WX)5lRFPxee*hNa#;hTqFWIeu`pV zt2f>CTpzgjb@b{I_9z9&Drm6nmp|F8^8IO#v96Zj!?tfaW$!PUhz%=~LprLoS1&cv>gRDFuG{6Q0u1GfAB_NZgZs z*+YThZ3`=uc|(U@2#Q)NIYZ9?3 z9yILY>xRDa40|`EY5DogsExi=5XB$Wh*if?gx%Dml&qYsK$(7mwgpi<#pA|?U7%>z z(A-Fq@s32ffYAzIOZ2V;{fR?}N@e@b6flrz<#WIuxz`P8X zQ`)4JBRc8nP}2pWV36bnzdP-oCvJ2}mAE1~--Sw8*%#g>b;SmX&zIjnFeH)gwM|P8 z-kU6gC!e7;AF!13OuwlsDNVS{N>Dbh_F)eL8AUsO`TeGogGTJ3U;g;WkSUdqKg%ax z=0hiGA~>_hSfE9|$R^R{Nv8Rv%Y2|Kk@bGxuOwpiCYwO#l1*~K0=LaqTut^x)A8_l zk;_8Hkc%Hqa}ftZsFy@}*ywgWlsq{*q1#{`5Wp4dgk4<)_jDm7c#6WCruw&jOY5?7 zphkjwthn-z@2rHClXw6$x~_B-Zm-mk^%h&~x*4COu0+e(C3_p_OUYrgeES^r-yOP*6PJ>0d==3qgwDfMGlL~LL{$L4cJ(l%#-kdq7 zNN93fcf6ZvdC>WWC(uj??n{6tcI}Zo)41;j^V6C7<)MVK~0$#(v z)^v=563Nk%koxK;mK+>)`Hr+4(oWSrZITEQ#>Y5jr33rpT|aw7iG?-Ph?D z?500hx&4V($Mm&OSIKJY@qe6V(yh+qDQ=Qb}dgs?5{H&ggTXIV*=n0)ZT`uDK5Oj)ajsGDgh&S_uS z`d0D{9;+FPm4MNcJxS9sjW_q^oT|vH_8!X>d7T~^1I|z`vE-mXDBjRzP?AAUCylPG z%-nxX!J$Gu7gc>0Y)n-^QXH&SSFCuDxG7Agx{S{`L$`QDiwFJs(7wfpRqyjh29v9} z{v)Q~>7^`SUu-)mipg|>UysFRM{X?onnI!53mRZco@}{pzZ`~aGkOA)I{}i%{JhE3 z5M8u6iCP`GYhKk2NzLWr*<|GN+=Rqi0?femYSAr21&5kpvy$CkriwU2n!G$A&4Pv8 z2v_^EOd|ldGNRE%(72j{ZY?}Y8+z7Pag{LD_ceV@c=|HUNV`&EKr;{o`{=fH45Y)@ z)237b?|+39K^F2w{qE)Uwbu7TM=w{K0{sO=ZCB@&I;nc2-C!{ifb-0?N?J|$&mIX= z+X?xZBD7kJxjPxD>oo=oem@i`R<%4d*Y;3fZX17~1Q=^GIN=Hu>p``d?t#Qn*r^($ z@Fu%~xy1OxzTWr8H5DVuh1)dK%ko5!Fhnk^Y6Byqh6n!ib>BiL(2Q zJ91c&Ibo7v1DY`{c_!V+$VuGWU0%(&C1O7e=A25YNw}oZQE3t<3f<7ZrBAvm>7qQf z2{qy;VS0xxDN_V7P?898cbX;%!f4Kll$j(;W}b`Uk0RDc8ietb{U|nRZrP7~4L3^e zm>J8FZ_;25=Tb>aWnB+6Rjw08k>^dXXR@#NQs5vB_UsvF(Oacc+`1@Tkofa^kl>Z_ zUF=YKZlmeqIGpnlB_`2=E6cQZ!t+jOj^2blHF>?keFb6X1OY>-XIw?YfS7X?>C(j* ztx@V*Ki7;z4zV+*7(Hq`<}C1?I92 zhQ^<=~wZ137l8>uEy=9SCVPXHLH5(W?`tPcB2u184o^_u3rW zBP3XbE5qrmjV4pr^hqFg60y#p zH|)fx-PAQ>5&pHW*+<`IuY~C4h)6-c{^uJMcHh+)hTkMc1)Ha1cTIdg7SMXsd z8Vk-(qv6T7Sa7gHQZ3RqCL}(**8;a5Hy!@>Tl@gCNwR0@GOd zV4Vav!sZbwJq5mIt_G1dpd#NNKD_IkzzcL~lPnxQSiAnJ39?=_(LK-DLqRe;d9P6e zvk~j~$Km693^7-?Z{#M!2kUo#L`a&d;^`{P5t6yK&gxpwBMIHqiaUAhx6)(r=O%F@i;`SLhCC%e5jVN(1nhK{O}EIO)By9VVpwF zdcB7oh4}?Np9S-zWGM{Yw%|HSE?Ef^@>n?E^-}A9{4x0pxSa?QZebkbruQXiN&$f{ zj-{Mi)8osaM!8Utwzdl3E9AC`0XeSxo9}iFA@T}ap2IfkU+ny)uN+}JZRs`I)5z$h z?;D1$4`E;iEsFOSIqJ36u5*ldx|6#<$-S$IAY&uzqnr;aq<1RS&|cBi{ww(?KRwav z37KxQug7eO?v0(W&EQ zmHuM=KUfX+!e~W(V)$f_m|g0Z;gkMFE(Foj^<^W5jJ2(y5WRKLi5o~Eiu}~8w2s0fkXy9tfvkc1t4_z>E2#AAJYo64}Z)J;)}BO$XDk64b9JFR>p|#yBB-P#EY8crc}yFQWVZbT9+=7!^2oac`kC4 zrBk()@Knxn+Z9CP-8qT0Q-s=V%kG7UI9@1^GD3e#XoG1eIxqS2T>kdo)c5)e_yK{) zr}j;g)HtRdF$g@zSjyrZrULa}u+J-2s|T6Rk4}J%(ea}=(1b&gB=(2I5~FPV1RrG7 zOCpkkrc@~1F;y_6k|<-M8VV<}$fCc-4a@|)*h88Hi^{Qbqr9q8QTE4pG#3K<|B_A29WpweYSIwjCRbDKi)@*&9r!?~jp5%Or#bJ4QX z0#nQ=AVEtsN$E{n5_VF5$lJ2GlEa=s zYEN>Ya99Rre9`|TNqj91Hm4*@hGc4lDV3~M!&%i0Iz+<90U<{Iu#|-gC*9e-I6jK zQl?T*y>m+wsbmls`!EGnvOpyxBNmxb+WNCzW(+3A(6sdDaUwJ^k3#81kVdFV|-jl`bu1=8uVAzdt0 zoUU#nj>mdl=o-KSHLYN}Oq(>+(`x8Jj>KS`m(C8atf+=znv%wFhr*uzWz|q8xr42oy(!KlPDH1 z-Qn=`E0t3K6%G;Zyy-cuYtl{WOY9;SrZ02u8W1xxn4Z<@(@<7y#u$7dcd^tf33&vQ zjs*-%3Jr^5Z}V!c(g<<}7Wgo7GlEl_G=cY;6my0gU?R-VY2#O0+|QI(Apl4~x4(}x z#7mTeS+&nzv+R!E(+koh!fxkGY{aWh<`m`1cpvTkN7X^q`dwd&v}Q2ymRPn4u~NxOWlN5onyjTImasoeNc|pjI$(h zt$+4cZ=%2g$do}cDELt0V?0WiHi{wuNQ}lDBr_YuOP@SC$x4j;QoE0ypu5mTa%r#l z{%xk(UK#BSquzUgWRv*|YsHIhGMQO85iA^UW`w26Rr*tZQgjwl!R#iNrGXQPwM5rH zV_#%aqFA^^RUC%+ohz&7CcjCGcv3ssN`pz4N=aiuZQAjihj?()6GsZ~>TD|@7>3qV*3LOAH`c9f*U7cMCAZ?rDjX=QBQzs@e ze|tgg6~49o(Dvn{0JBqFa^yx!j`-~d{PW0Dq>wl-F_uG(K`)?y^s6MEK3V4(15c=P z`(eF5Jqkd+%TukGAp6h(6!i#pD`XVOsaZtK*Z#C)Nc#gmJR+-zC@3*kss1DoENTWk z6#O~X$6Z{IM)Y<20iPd{QqXH85<8HY%`vLjqIfAF1*Ylgb9 zKs#LIx#wWB;i@o)uD2h$^&WkIa-y9C?0yQ%k8C#$e-5PfF`X9FWruLCJW?22D;4L1 zzCy*BCq6yOSzW}kWKMq&K2CJnq2Uj5l1P65fs{p4v}Zo%S)s44_K(8F{Ls`r+TCGa z2?)K${k0$P;ZYs>IU#>I5$_Sj#lMs1A0@K6h2__;YueoXZ`qklZGNZ6}ThlH?u8jK&UR8)^5NJM4q$-J{y z4aO%MWw&Z(KPz$q2&*T_0^TWAIYtHYt0VzoheCqFO_>n0{|GhaD^G*S;I^r^X=>hW zY!ytQUiXIAiA#33*ArEiczhijutiMu=uW@ud*s*vy6LwQhw&t@jgn;gwr>%E%e&u% znt)C;E%oxRe|-P2Opob_aX^)O%564yPbkY+gXyJF;s*NNT0OPCbOJq{Nw2?=KZ&*ax2WDv+s(SLwBg zSN-UY^M*2@)!9uF1=voYpfY5LoSS7qZoxf6p_@VB^IUyE02Lxkm|QL<15Jc6tIF9xD=yku}l z+DtA1Gj4eYzLc3>~p z;}e5gLIuuMUbbbk$V?N>)Vw~IgGH!@azcam-@w?qH{jg3U9}* z`~1YPrY!pPB&Q0-&@vw>15LA8n`O2JV^tXnrw_@76>h&& zaf@8mWqzvd>dPOUin`7Bw?BEeb zPW^l@yNF(-Ll^LhQsIn?ar{A}j!)*)Ck@gwn^IDL7Y zX3>=m{^gY=@BLL24c=TqXUhZ6pmj(j%SU2@It)Ce#|tTV%zOHrSl%N)5GlUzzUNKf zlV*o4i&ytWBeRD51@>-5Xg6rgt+lEPUeqLkIsgkDLDt6~A=X0ih2jJg>#E-gTz8Qw zpgqY1vI2NvYX5@wACr`<=OR&}qtP4*tMkG;2?V-|Rd22T<44-5ipwSy_EiZDO@~WE z)0KbPb9pGNsxNnhBNI2XT|oq!J{;Qv}Anbc8l?WWxDH1{P^S&zB3U<4<}7|>~7_i zatML?P-8<;w~Kr$VXU%~^0q6np6N48Ly(MTMa|*MunFJ1D7tD8#U%NWxqL3qELxyz zNs)mR4SS<5+D=@9eELf974}!`KqRvvS=EeZ{~e~$pZ}_8PUWBfisvS7rX+b8)D=n! zt$*-0(ABlA2Djkg337viDU{J6=!Fu}b)7*KD&*R;%se?hA()}%Nr?V2Kj!vjkMa>* z0e!Ghjv=3FEIuz6#vB;ZwiUkceE(;*fvvj;jMwy#Rv)-R%?=|!po3#~;pzqThNoX! zdMIBRL55wS{{B!D+d|(x(HJS4Xo)ph=Bq&6ai_6yc zWZ!AXsmYd-(En9^$yd%9CB@cV2(k3f=qXY$FyUNo`nDa{eY`P<_!Z+HfTS1aiPMoTknT6C(V)*K;j7fE#F*}hy0{UjIgwevV}?3F%tJ@wu)zf-PpZM za!h79##YAI;saHpy6+YRdb{Dr6XS52r{`J{AV{DR_I%r^s0+GRZ7$fNCe1V+=FUnb zw2hn?zwFCunOsv`3V)?mtW>y$&MKW{mGOM4%KIi?j4z{;L3eFXzpszqv8>Uox;_uO zcngmF=|YQ540iG6M!;-_4dCjEEyh(@1w0#Du_W8PU#XIZ!zrFe;lu z(Mv8%^7c>}a?WNsdpv$qST9X?y~%SZ*oc}rOD?B#reIsBu*(eI9&1Cc^Fk#&+H0}i za_c^GcY9aKf>|ahPXV!_=VTuG#>O%f@3Rauo*oLKHo-^LYWCVfVQ9o>8ALp1#I&vm zb0eH=Zw@A-CQkG4J?rnuUiFvUp%^AMqN$exK?zmY!G2XY)n)(-)d~%4Ra&EDW;pci zehxx9ZYv5elgBhNCjbXU2a!H z#!*PfaI)RXxNXQPrKVQPn-R5m7W+oRd3vbNt$o;I0M53mF}H~D;Q_XRCg1JQk~OPe zD=OW+br}@S-W+M>lL?}}`e~0du(@rVQCf`@iCseE45)*a3@B3!lk&;

      =(0iUT!Vr;ZnE*)&WLXX# zJK7EyA!7K-P1ZB7mc*Hu8rxzA8#B$ADFJ0jDzw>g+8$MhV|`t%%7R|;SoPGBza}Ic zc|Ygd*N`1Kd!85!!`-4h9qbOO2vG*M4Di3!y-j#)wq~LCcp;zL7Z-bFYj2zR9yDeR zMfE9_-2=Kc&BA(5Ejy>ZbtSg&VcEFLZX3=BB9*bHGWI!)BtYiE06|X497cswDCUj2 z5HK5~BP#MN_khKAxsNo(QPt~0qN5rM4My8$pWhUFGGvEL(^;mlyPg<56gj(k!(l__ zXhLmWC7Q6uRK!9AbLb-H0h4Jp9~RtHZ`yyX$h@6k=RHL!cb#p1T2o~@P3FjS{*Md0 zKg$6Iz!T$_5{(abq@IKI?TFPJs~N`!R_N~ug;bm$hc&fmDixD)cedyieRV8aaRUZCi{-En#k%i#&3uqmw7?1%`DlPa-G5Dm(F+m#3ja<=LQZ zyK)m42^=?U_I{Jgqrj2XY1dPPk1_SW~x%7rP_p7R0kG}@g5uoSS?Qkvj zAN=^c@5YdG#a=I`4)b#c1%ORAhpxV$f!V?T*Xt)GQrO z9g#Z{lch1t<%`0>xsW(#@fDj5?7olOq+n|flFqp(G!q%T*8J3e`G;#KBv$}Bfr0&G z2_V$Y?8|#3AiI2BF9hHTopmMqH%pCVgl8vv7&@WrTa*9RwySLT$uCB2l^+9)q-3YD3-sYVZ4s-Xz!=$#<}<+5d_4?9SRG6cWPJ@eA8rlVG@P z7}GI}u8D z<_I1S7iET0Z(zEwpp0}~J(OI%{DT)gMGT=Hj?p(*>WenVw#6gJ zmgCHlp+|MRgy!5dNHF~!rpXw8zU9%%Ij=S){ZHu5i7c@iudqqM;F>4&Efqyy!(d0l z=Z@mf+V87hmY80chi=cq=~IhpX{pGceT3nR#W4) z3dCQ`2nor*Gy~Ls&B~y1tPT%g;)(kR%Nm8tr zunxZb0SW0zwA4BkI#0*DtAYfv5s;EjkQp6$-ZXDc7!2!*+oL1l9DVcU57(rLM;laV z$(u3h`%ZiAPq1ya^pMmH&RA_&hj|TY{ua>6>(9{q&EYVuxg+l{nwxn_|403PWHC~W z_1U2z$m&f0g~cR|CnbTlx-SI_X9c~8RMNNYG34&KR(@?Hwz=R9{Bm{iO~VD&Kl<@s zBkP1Yr<(d&Ih8H=xSku>4|Vs*?rI7wn*{Ts!D6^=Zy)37r>2L!g0>^6AIV>v8tV&e zm^E5+ZQxf!k73uE{J|6=n-@aBfiqW?K^9CKyGV^yA-5lV_t8G8O5Z$lZ=QXyX9bKOc@!;})(S~K_8BoK4llp+x3tSrc_J(?i7=rC6;xQT zk{o*~Ey}sT;XvM<3VPM7V7sV5tCK_8`cgE2ig3n^0^$BnhZ|*TTTl@vx1swIOMSj0 z?_HN4a%bCr;=+EYyV|Y~M029+$3{7&H08OV`GTI=J0Dq%nSg}1pmc=Ow+KEm-81h! zuN_L8dE*x>FW4^k^$u%97Kf1*Ey+jv!;WaAybd13vp<~^w@mscLW{YPpJmFWP2UY> zB+#wTJSxi9o}46ZG%eBfT-ZJzbE#^Es>$37?F}OXk36=5V$Y4_r10iG*s1$5bANgx zIdub{?u!Or3C8iZKk)1XKcniZS^22l->V$Y1jGr@lmyjmxwlbvP%j;fSMdb8-=hrl%|Cl zhmnvE41aEg`I#qMzCKA8jNhS&x0tu}Y%(kwml2CRPN*VghJL0z zmGv>W8`75TPyBmObNf&p`sKR38J7O0UtRAvTI9!`wJlZyRbs4mJGms-_Ed5Uy?lIp zrD1f}n5!u@W^cCwFZL5x5dC8#X_d?InfX^rxPcZyBtb%hi&*p0a?|<9wVQ+TR!|J( zpL?2Nl1!Yc;7Olmo+Q?LQK4>xCtRJe!R+#FZ^!bDL=88R+Wt(JwL7ws3>Jz^AJ51t z&Sxml`X9BW*u%o`@n&Hpd1WPQpcdDk&;ux&8V!ol^Iq4{7hJ}>z8Q8?Jt|~%+V=SJ zc^n*e+e}tRwPET}p#>|qKh>udH4a8Ni8=AguuPMf%n;S202Q`%;mCe@f%PcT54CAv zVXr5r!V9bxeXLa5&*gK@HEdG2a=YzYRQcn41-sh{nHz=H;cqWo*UT4zB2r!g`3c*s z0@c^VyX~9a0+tsAx#Q(dzFwCbVX~zOY47v%xzK3h7x7@|YA9b-f1qwq*N2wY4I1G@ zkI8keE)vkPbhtH+H>IPZ_{?1-g{>TKB^T$4e3G-h(XR}o`Jfa}_eriRCsxB~SJylI$YU*Z<8Ly@76Xiuyg^dzt{ey>L?E{t@ti>e z9caHxqSvJ|tu+lG}r8m4c_^{~n35Y^G5rwr0GyRNir$?GvoxXKqE(Y&?Ntieu z)&Rx`6}Iwz`(EKt&_m#xC(L|2j3R?cJ7UUsToTYx91)+eciD^wEip(+dsTNG+i}sZ zf2j&jrDL)1P-#j&G&y0(W#Px*L>V}`7v*?+eVz5?gc@-o54A;&SN&>L(F<*}p$@>4 zi1zIzkgEae#|r|U-M%#krt+|4cvv&&D@*H8p#NmSUDd1U2>R-Tkn0jbP%T$042=1@ z>r)h}hJ|EX=Iy%voo^kUw@Z37W}P8xv>aCpM)NB+@=s`o>y|L+6H&iO!>NT6?Yjb|?`7 zl?uJG69P%)h6>&Mo76N_@JYL1J@q}UknmFaYq`zVOx?_rB2tG$TQF9-Yk%jPRwSL7 zJIM_7MV-0AL+K^ix-G!1@7VkA&#T$KspXApM1rNrM+L;7vjy`j|7DNed2Q1jgz^7^ zOwgZg7&5#1+p0Gl8Baz%79<~)6|9*%O_vILQH4Fn)8M3Gbq{+>Ty>Q`<#q}7_Mu3J%!t^Gg zy4*0BYyyx-P@iN*x1Q-*YFfFLUJlbLx}FopWYwPXuY0aer4aIXIsx-*Qo=BBGNLgn zLUuEWjVKiXZy?;pM8scVM4*7WnN%afovM|>MH_+UBF0VzDp70_jmUNiH^KDy0D16&7Zs7QV=VcNMIwXsRWM9QIQ!8%z&%=wRcGD55P#`Y- z2`Q!nl3+V-oJtoB%`zR4@dVRuXiW~tfDx?%4PugI3(P)m)_VfpNOrRw~DNH~MjR2&<#wL-N{0HJXltF&g``!hIA zDbEy5Q;JI$<~WHnsSi^A&p-L@yW(8746fPbjlcoe`T>$NPK<6i2` zG6;$7RKgIW6MjnwUmm8d4?LRPlachq==HsvS=4rWqV5UXaL6s4-jUfWxL*vRtw!;GfyxfZ;3xfuD<~|fRnn{Qq)m{X%!(b{EP5Ua}C~8v& z+EZ>5_-xc2{82PJ+UmV>8_8R?fVk{WSGakjvt3(*1dHIfLrjqM3&K%y3eR# zHCo>BJX0U7!}y3?-{`daD+jo}>#zEFzk_1BVnF6)5(a938Lb^-8iZu^En>L0_~7h^ zN-n@2Euy*50qH;wyxM7aqma+2+9Wzip*X3eeY-h7T87OSiaH@B2_csT z3y0)`Epz9psK6hsP!rss1KKi&Ni(vt-C<0#>wSep5qk4;iQ(9gIhO95f&+&|KwNm~ zC_{VYjE3)8K^GxHT<~Zmjv;K(t2@$4J;wr~i!a16I<g!>kULVfD)~HY}Ape+$d@8q8ax&)-oBU25k%*+L4qFthba-7}oT_*C1Yf&gfWH1} z6029GSeLx&um@di23;Lt{hdyauP04CCgq(TmIi_felM}$ufH#?prR^e#eL(|M7@e! zg_K0-H>x-K!zIkBfH$!DZd=v15Of7kkufYr@lHCGLEI+>C6dKQ0Xa52Qu&2F#Ts^?_8dh^g}`z*xQ(I{>5-XV zNE+FQ&jGe!p4?2tB~x)iA@wO=*DKO1;uX5rvYU(3sl8UugyTfFwt^ltR$<;r;@OvP zYA2p%E&FUC3|CdrAL$3u3Ia3~5_Hpi;GK%TsoQl)wXWqjqn|s&z6#-oBE6||-U|pA zTF8l}f(8U%=$$XQv!Z!%mH@TSIk`VOY}<6h&Ub1+>tF2rXUAzpJ}P=j3CnWAsQ^XS zT7SP`w;=fzeJfx~6h+!Phd`tn1^EaV1w|om0J6a2*A51o`q$V0 z2KrxY7$jMlAj0kP{se`mb2dE+e!e#O5#|WGY|~f$(IVL20N0jcEmJqoP|K9f08Q9w z`(rH(S0=f|*pXSXTx=(3C4z(Ao~gVcT?;w%(5F}DW=CM`2J^YLgdbv(-V|pn?IcIp z%qSjOqn}KZNtJY-L)9i#uwoUIw`hrJCC9p%>XIeVyOT<_pDCzmiBt#X892XXjfcYD zZzGGW4rBTudyHP}f9-x0KNOFE#kTT1VUkIEo0hm!3SC-QLFpvzo2@-I4Ur58TsWk= zJ4&YGi&4n1Nyij#6m5_<))2!ZnNFq0nE8FGm+ z4q0v}l05~o>t#3jF0nt~NCGv2 z#^9OfAxNX>k=2lWciCk01(AhS@*7gQDiPmLUP}WD8H(sLW|Zk9-LcRd zH0--?CA#S$!Fg8oc{Pz()ct8!6($85E_hSUt|_-$lF>2bRTnO{IC#=;8>+F4gI5#r zNT6iNrcEIr+C;UAze%3LnkJU%8>yyq(2P}7%zG=%qA?;xN^P<6vTs`V$OaO=KUJj( zwrF?1m1@2)n>9AIzWi99=xl^c8D{A5%$0v#W0z>I1A2hEJna~DE73i>Qcf_HT75O- znGfxwBG8meU~PekZ{a@Y-r*{W6gyP}l{(OsKr&6UpmmND`{#C?@sIxWySAVBjO$I^}6q2qfA;vEk%Qep2CouKY)EL|s=XEJe0*)eoGtuwX+0)sQ&c-#Q7PQc_d% zC-Fpd>Q%OuKTL0X>_Zrc~P`~ z!7D~;Tvyxsvp>b$I_!y;5=1nDo;LrZMAqUv+jM{|-SFWfpo`^xZE%wATC31}Hgiaja zButPHT|C_B@cyJ%m{L4(&!1@y?+4+j6R9d=sW(}q%pyd2uUG<619qpQNUC|t+I0J& z(^4nZZ9OK>nB13h*8C`dGYT!|xIX1*!+cB|YSF=v)^pk3AqGlwAj7jcu*VV$b9kt^ zZ%Uop!w~!5e)9iI(67e(m$+BCE6-H?r>wFVm$2d`(zf5!Cp_5a*bk2OgBM6>Y$=HT z)lq;3lShX$T|gjUG!w0;)nT7x9d(uG1MJ@6cF(B~RZc*7MczEb-o|&z5Zsi3T&V@| zr!*ScL;C254^w9XZoSmUpp(n%S&%W$C6G*N8Q`J%93PxVy`}W8aYB}qm2ZT z3!^LVr7~~(_s2s52?Q;)nYC8JBf=xXZ+N&z`A6IrcOj~~gjxbIAV!NR3DhJxVrYqy zva73lit6ram{$q2l5V1v{sXNBW+Su_=={zxcQ=oSd*6Hcvh_hx`Qk>H9Wy)jb8I=Jo4CpYJwsnLlHCO2bTlDy#+`o!tS${s?k&H zQ3VtHNf+)pfv+8djNs#hp=oHvq|rTwn|s$_wL}H4}t&{@XvGP z&-T_zXe-ds4SYeih5fM|Z|4^Ef~<)x?5P1F;Xno&WB+NlLw-?YNIZ^}8DSR#hZe89 z*h*sMskvA@>1zznY6(CRY<4vnytEP-CF%l1#rqsD53>*=l;Khtfd$NSHQn5id5I;t zs6H{p-P7Uc-d^SV`cU^}-D*$Na1!RL;LfvBM}fZ!bwVX`fy$FN!X0fiEnqWY0K?O; zMayU$tjkkXahEd|ABVea7)uWrF-lVt7!?nxtk_CjMVmDqrP&pf-?*9QEn8)KDyL{$ zsCHHN8<2vOMZPHWq8j842#F9FlfcMIJryhVq~+(bGUs-{xpXEFFOYZ(d7xDvAUlTB zh#@i}k)f3aWC0YPaMb|gZ;w!vwD%ecwr_wXY`eGiOey+n?{@IYlt*}AM?Ryh^S}~R zB@Mvzc;{Lm3~=z8&E6bso^#JIiP4C<`UxEA$=(zI^C9=YE7QO`ZePLuU7J3e|e7nAT zjfc+_`U7ud((?`e!$c^<(<`KfDf98UUV27^=*1WEOd`aXDc&Q0MiNNdM|4Sk=w1pM z$lCooGL&!9#Gow%g+V~uNpMboc-g)gCp%fLH%Vg9C?>jL1Jj`61?fEhM4#wMJv@V_ zkm^R}P!gZ>C%Tu-`CtFVO9Gz31e+afwH1d~2Ws16E-~_f+OxmMlJTPTdAi*e2c`YJ zhT{_teR)=+efbuyruGe=O>e2Wpoiq3=UAJ&B(GR3I06L_lf_aE7=*)FXwmd=`$v51 zmR$rPGh~^hNhX{Wkz_)TyK4UCz)wa+bu2pVe33hjt zm+Vp)%qwU}N%%qvZ=e9|IXo+m*C2aUpWyoJUab{S5`cU_+dLgu0MP^QpFyDcdZcAC zK_gCI%}UD*SY|pCNmZm(waH3s)o|jusG{y>EJLdvP7NZ=kqSB>pyW8 zBP{jxBlU#tG-tphq=I3r&@$rs(V#ca8^w?*cGwJUY(JR~zp-NB72TmnV`(Q$A>SQk zdZCV=&*IV$o5FUO`Qa|wQcwAD8Z@S}A(V4Gea zKH;-6Q|4hn!ds}Q{KD2*SK>(AtRKHm!4VzUBLNei95tq(&95gGS+#dv==XO-21 zNwb76YC87VM|AONlsP^cUv2!^oYs|OECiY*D@2|w?P^^DH-Bw3egt_MYB?KM-0z-9 z^~PF4sw+*G9c->ry#LmR=ES#g283*IeQX8Bw2Edm2a71=4_hJYT5x}1mh;>HY&ixd z*?P@q!D-^3RosgeJ3#0>S2F19Q#c&}?iW7!m8|+M&OCg-i_hU8+-2`(Ewu(fKv6$T>%j_;;yK?H3QVGC zHgQ>2JT3|>Dv=!oZ~SwKgHO#+$yvjLvoSl>&0}!r6{1l%E((Mrumw6}^lAdmvBERa zyckGT-EdkIfv~~$Daq|SI?=%AlpRU&7u7O+uI(Y}C!GYuEE>h37N~v64jE7}$T-pT znzK2<&OXmAhT)kSWZ~kvh8SD447ONi+g_X;t`DtY+rK^xytBnI9Lw-LxPI?6Kj}2O z+BREm>8RUv?O1cHIAm_&5ulwJ6vl!p$Xxo4M8L|75izg4c4{5ej?30;iT znUYdgr;P=7RyDo6_>(575fVy)YDxcl(=-quF12gGsCYj48LoR+0B1D|jW&AY>L(PV zM_hz#&gyl(W9!+p2Fl8&SWGnx&u0@8i#mg;QnlKMoEcH>^&tHF*VO5OzO;*bfEKXz&{;NOibX_2UQc|#T!7V&!_C6vxl}af0r~Gc%yJn!OnMo| zuKbnGy6!CNbUs!gkBsN4O*5jVB77+#ie>O1?n9!9F48~1MOOu>gWwSQC**%vb3y7y zJRAczVVYIncX@!)2PQd|{C8iylDjsQmki*fFLW6yLhTQH zNtri$`I(WPa9t#%4gGqpvK`IsjJY6kK%}1(lcwPr%PMOu`Ab?3u>7c{cCF3&C9^E6 z@q^A1+mejd$obWT){3UUedUk}fQo&yXs2v#zU1pK zl$4d7@F62W==m&DNn6Bh;Jzuxg%hY4sA^(ZqoE$Ed z?by;KTlmzyf1WKZC?{IHVa6&Zw1DTck=@LuYe{2GcR#!;*axu6soG;nH5_=y)b7+l zFK3WiA-%qj&z5qZJ625RyDWg8b0`a6^&$rAB(Q5}6^z?MdD>$i(q&KsvXae*vR{?B zH$`|EbRcx{qv#0zQI@qF#4eKQ8b?EoaTU4YE0(d!<*Dl!Dfo&aJ)`EhV+787-Szn{ z6Sx32Z~=}ALMy&PxTyaMaT48Fnoc!K?0U8(7=2jJ*X-c%uJl8Pjd#CO21A)wG#ic+ zcnhC;4)>IhvIe0UM?vnsHiuA_X0^PCSJjUY13_w+eA{d@Qa`(?y zWL<*@qN3fQFT|;s{wTU)mls#W8ya1b#mYl?Smuq?S0=D;TeJmcOM5L3DvY!J-dV@m z(!3rJ-e1nFTS|FXw6f&zZ=t$Q3C1PwG7n9i|3mw>**D7^XX@&N=Z%v34ezlw;2ZHs zTj4%PZuiHxSo6iUZnOuqMfQ6@N13?W-l}82tB)ibKnZxxg0BZ{^-n+l`X^7ne)`SR z&!4{h`p0A=eEkoee);r^r@wys(ti4zuYdgXtFQm~=}U!xPVgXo^*Ko?e*4FWogONZ zuTT&jzM=#Lalq+D0$iW|h9v*u=^vBGzxw*8PrsxCPSM!AzU_KGh+RmbQ$UnLijZ>( zfXoJA6Z(sF3CEPDza)u&Lsk6x59z~SqOS7IZ|tW(fBFqo`6lJW4vOoxj0)9*B0z9szy2dMp5@ZV{~AU7;^|B1h0gHJJsz2%Qjm;XmrY09*loL8 zIJ+YRcb9L})1Q6)6I9NA`ZK7T{`e!3N5)tNPt10gmCx0b4q~xat!~9(UZ5mErbL3E z0BScB%^y{nJyJ(=MDVfQ6=%Y51S4U7L&DnK$==rWPEosl2~niaUqh`wAz{Dz`ah-0 zmG}Lk`08^Ig70ZCfAyQo>H&WkPi9ag4S1VF38|T1e*H&~^cPRRqS5sm#z#eL!TqI# zrS(xX*_JCT$r?Vf)O>ev;ylPZ@D9A<>|@6}p?JS`TToiq6QN)V{yPNKG$)ov3m(`S z_}P7s(DrcQSs;MnGPAEXeMjHrnA~^-sXA?xnAv4|VmDwB)#!q}qj4DUk!6&a} zC?>VY1;d)*(~bP003}dki*+|S^3iE$r>OWXT=THlwD77k@IrYXcZ+I~ZO(`p4<9*)IEKGz||mIXFyn?VH570NMXxxJ)X0G#U#y_-Yu|gs$rqj_P$GfgAxE1xe0^ZdMg3bc7xHWY*n}Q(M0f%dgKmsGTtAR3c0Zj*R z+Q7|@<0wQ91YO|~KOUa`k<(MGa9lsZ9a!?w249Gy%P=WvY8aV(AWpP-%Vy=Qi9>p3 zg&Wfc10V8INOE!IWljY7yeq1*rg{GZ+w3UJ3qw?>GEL76B{PrjCa>3Y=o}m{I&cM^ zZ18dlaK)-FHnZg+(DZ9sWCXtlDwp|#>cKa7SLW>UU@V*NJRe^OQpJZ3&mUU&*y}Oc zfRgI^kfQ_eOi-fM*}kAAuJeArLI^4OL%slx+&mKk?s;vJy}ZPxccuxxG#!sFGZnbD z;ZMaIk0VGYOsfk-&GuXoXX{RKApv*A4HKgaRP?1bWcuJNK+SuA$$BmW&?o?duVoT< z8E`LWlX$+jco!0U1&4G&1z+Uioqnd5vzB=2g^)nNAmBmwDMqVZa)AArMzp_Sj+dwf zntV-Es2C6i@!({**X4y$W~%~slDR8H_C$FDaS@Eire>%``Jh!LF}Lqr?&xSS7Z@9J z6ZZ}Ee2-;BLi^za>_E>s%Zm`+!{G$-VOl}}fiqt$ndpESNPzZ$bJ#q8s`fPw!Mt(s zx-Wx&U9>wPTrT@%27E#Tpa&+8BTFqao1E`)=2AzN&RNbO1_xIR?V(uC8hf!r#%I}I zegD-f?czGvnQ)0?R$MGQEz^>=iUIw!pZl73f0|NDni>|fPas+y@g>8dVKqEC00lnV zy!`@lM@=%EZ~j1ULlq+?v>n2~I#n^;neG z%J*4-qpBschwoMR8t7$I^MLB@!(nWmbu9UAEO^Q~62Wn)9-@e)=8+osJ7-levg)t< z9kL;JK)Kx^_j&35T{s*U0JJcF=kR8&j-M+UL%cGz z7wKuw1q2z*%jHxRNBObjO3i8<3OclO_U0fObMYE7baeWX#_0Ue<;$UrL07(RM9MA( z7d2~_Jud7sM&+oADH|P$C1lO0+IeDEMq)sNickxiZ&4|d9-);e5eJoe@5HQ&0@ z{?cT7X82<>uN4ZndBO0B*k`K(>DwRCDK_Vomk!x(0zz#8Vhs&=H#*+8+u_>Fb|qjB zUPsp}apQXzW%`$`^^-IlqckSp?12|g$3?h~`)oPzN*MMlzA~zMvil@#rdzRtj(8D_ z?Tfr%jKvs>Ow?gp=T-4$3JV$9cBV|YL|rQLq8n2`)BzWXF;Lt&`5ngqrO&nv1LkVm zsLem>>4ZS-DQhF>B~57A6tvmYgw~tI9zECzIxkLMEcdL5@nsVOjMRV&lfY43TA=p% zo@}(1L#tdPwCY;-MYoDf1$)29$c_hMVwX#C>wJ~Jq1B|{liGYoP)b8fLSuDN;WSXv z*o@_w*B)c!qL7ih;f1-Fh8`CiSrQGbivdwOL;o4#!7 zmcuYEXD4akkRRG&QY>8j1$ovrSD92C!Ae;GQ1Y`{4X>$y?5t*UYU{G+v+6i#QrFdp zwXV73xaOLJ=>Uwjc{9yH={fH;Xp%Hx^i#flm!E?Ert?-R*QMa446DjT_<@_qt{xEnX*TOg)WU2myk*NZ6*8(Epj zX(PkKcg4)}E%lxgYq(ng(is(*lYJ%(ZyaCS8=qUolgl9#d35xN1+?JreecyP<~^L_ zr)wCPY16h`GYrWYxHe! z2u*4KJI9($HCQT2J7mk9(Jq`+L5d#xuDOMc)r4OqUeoGAYr|(0byo$66Grom$a}uD z2hf86Uqc0f57j*~ zY>GLs_PrZ%Q(?CM_N+)dwWQ?$dLTqi;8mLqI^-R@rNlX9WpnR5ZsF=wJ3k2N)S%!uR$bFyIHxf z`BjWe?0Ck6kfuyRjK{cc5m}2L%r<(B{&7`Rz}h zX$_rTIg?az3G<^^!u^-OrfDm@P>(fRtc6j>RllIW!L!PnH~p#dV)dZp`!QL`bZMDd zo(@!XRno_DS?-kn{+Vi#8WHKJolUW8tiVarRVv?X9+doSlbu>mCDC!UDOS2y_JC~5 z_bVme;*vCLviodO-2Uz7Wwsf5G20xFexvl)Q?i1ZH}v4F5muw?77t^8Ch3j z@BuU2`=?`i8Vs0%;SQOK&Xcvz(oZ5xrub=6!w(GlYgSWvA$K#&>OrpqeV?bZ|X-o_Uk3pr& zehrmA(uXRqZQ2*Ja#d`mVRi(V?6T1PWJ_-y%O$ntxKzWhQ}UeED#DM@YH@f}@~uoW z`#{rgO#cV88*S>W6#Gy@pXJU+n}`O4AlZmypcqTNP_^WMBg7Ng0A$4=`n#;RZ$PNI zpxWKag^m6%fR;f608rRve_-c1c^w4gdI_I=an<(J2${%GFCY@w_i%sSW_CyOe#dk| z3;1?ZVOhE1yRBPI<`M|(4gA5^#X8gURw!{^jL%PwI*c5Z(^0yMY+dhi0A`KtqA5%k zGb~Q~M%?$M9Yc}cI~oX}&uBy=b^Q--ln|u6yHOz?!AHAtDr(i+&`Vao{Y${^);&#j zMC#Y*E^62g-uvsUt#ye4kK(^ai8gRE#P_P*A!cSRjzN3FuI|-pU(iMg$AMj~iYO%ZS2XZuJ?g9l4fEA<+gBF#zqm@v zftslj#HDpryg}fh_;lW9v@jP#D)~vG5baWoTq}oNPHoPc-L9bOGX!eW=#Tdq4M2b; zK!W1`?rhRlK~^s9MRX4A_?>)L919CHMX1ycE(=t5d|iQn6!c&;ZRy8-M*DxB?|bO8 zreCO_rtXiDuBWkf$afh#LRn?eZF^qqQ2&CeaZdvQXfBG@t-is7(w=&y-(|Snt~-1K zZ{D^5-N&+^)uTkVO+)jZilAi2(+1{7Yd_LY`I2&46}aa(Y9MFr3iVLm zFAD@UKGY|$FEo$&{?r03o2CMMxS7nftJ_C=M{97#M0FYds++pp)t2U9;7&c+tEPTj z(Fno2A>$X4I;flzbd>LHvT9cSV?O@A%l2S$;BCa-^yRTjWB(JI`KnisM zNHLwtLw>Do+8oHR0Z&9=YP4HG(_-^~$jddH8{Ejjp{ZpLLq1tGWN8R~*AgstHbZ3j z9*#R?KrK%4g)AxuvXpb$T9+NeM;G!~;Cep15;VT{=wmC3_;Sl00`$4W6RgI&5Shq_ zbI=wHaFr=Cr|^eRrDdyD{=PGJE!<_m#o!ljA*1EwlJ;jLJ&(mC(z;u(3K-WTen3$G3unPmh4!kxGEzXOp!&)H%Rjd7ftlsnX7=+z^Ku z(n#S44g!c>i|lo>+Ys3{YR^@0FJnhj{wj_v^9vh5a}hJj)xhha?>l~p`TtfLE2ME! z12P*y4~K10z0sRl#|$J4ui;t4AJ3Ka|MKrvn1EIRkpwzWOAm0oaMacC9d%^n(L6oo zI+7#O<4bbVz%9w-S*j$pq5uO&kG!$Z5p~<}m;hx&M6)!f)q2^IL5eZ+iRy|2%Hs?X zNr_BH=NsH}!&AGx)%=8DHE4O%OA)Sb#kiGN(BRIngDeFujn3I+@djvjIp&Ap9}f+s z+9uv`G{_DJZ{q3CkGJfH##c0k5)z-*NbvktWN!31-@&&-u57&q#ugQVS0QOh49Kcg z-VQU2zZLsn&3Fe(fgE%IJVm?S8v%i_hxA9PbuM^ow5)74)M{pj(p91sq@$)T%HSYz zT63~t@&$>NrhFfQr4zIXn8qSJU#)3PlL!SB;sJ*Gw_fhnH9t6Oy-Oqk2b9nVQ3+fl zX+CEUg2ny7?_y&G0`69L1`PFeEpSLa(D@zo4Zf}<^L3tvMk|oi@Ey~zL})^_>{RLK z7Fp8RsWMe-jzd7V%ZklH5f91l&Q4&t9%Djq4A`*h(OBX*3>T2Io~xLOXwx88aMYJ< z1_+#xxEU9a#a=`eF3PDq(exqPKs<*@`CEayKRQz>#*4-KqrII_ekU+iczCEypd1 zNZ4mN?&iiNgnHEao$qK6B60j5FX3m1?B-Q`FrG$eQm3kMwZklkN=OB8D+P=g4dbN+99pA>;UZ4_=syQb%e4BB6X#?}6PdtjuXvAeQX{1(I8 z`{?TT+2A-q>#A~J`_XI1zYAyycCGtt32$+J9?7e`KjzP5`=K4&xwQCs);%zoX!5l{ z^oDa9leo;1hQVDFMk=txw{BU}FL)4Ads^>6E&UlHC71aMc(};mqDE2dlV+?vpl-Kx ze))$xvCyw&N|4DWEvN`^M0gDajLr(cq%=A+q(0>RCa*g)acXI})gk_-&2V7Cl?I}K zjFfI@;T;AZJvBVg1VcE(%LLwa#vC!_@NDi5H?j^nS-c?oIh`jYTa9fxc9Nw54p%nt z=G8c!VY4w3ZfN8#YBDAqi)I_YqzNj=HH8N>sSZ7S{nskCh6k_~WX4P%MEhUU(E6$Z z7n{MFXQ1+}nyh4yG#@gYS;}HlupaiLvx?bAXl5xtRpL!VlTtc{Pe$FTfzLZ7J7s{3 zG1CQF39F(i9-oz)jOi0PGAwXJS>RyDTCOkq5O29>Le+U7;|h@vxwtAa;a_ekSv-uJYP40@-f;l2ji5m@97fOP@(91sIU3L*i=`ui3N z!UY*D0b1$K(?&+e(^k{(PBom@GpO!TlV)l+wgiH+XmAD{d(t&1FjQ#$Gg>P(GYmtS zr~D!ssT2?1w1+bw0PWHI9_@I_;r+^2j8F?cXI{KQ#a;(aq#QQwV(V{1W|?)zf^mWT z$cdHbr*1@xO5g=#ywN|r#Q1SQXDH8iJa9*o%@T$HUZG`@dMTjq^(hk@l^4>khxd3q zoY0BR!IMoAfH2yjoK)j5p^;DDgsF<-Aa+&kL2y$eVkKfGrqOk9xR=V9*4hxPeg}-t+-S~N$hGIW0vZTK2q%DM%{ld(syo2389cz>s-Oi z`6y;Ol31BVg|{jNWP(5iYgn*Zri955FN*ULRMM5JP}h>Mis6YE&q~0Km=%>$1{!*D zMwSfz*r-ToGtal1<8|a!RTVaJ#!_OM=GSsNiJV<#bd6R{fe&SqW+9s8qd*` z%XKHsKT}2cPs9OrNo-{EXIhNJsYXqG4o8nDh=t`i7&DCuWH|TaQXL6;*^{zDoehg& zRRJhs*$+AiE~^>wu<|%-Wa-=Q5zmM_I(Dv?=%+ptBM;d~dff__0?Z74mXD0q!7VRw zXxg(-ohdc_7qMepDQ0(mGsuh3H zBn*7XndqFJp;d+sk9~7Q1G>lq1BM$JnZijeXjvMl6JM)lV>qZNH1TOvbIw%fjAwlj zOD`JbQU4`T$h-y2+^(^clW7t~=VJ_Yq=FnFh8gqt?ra8e+Y;xjtdw?EO(?@CT!W9% z=v~I^LzJFPa+*61BLB{^1>^3*9Ujd(oYp))q50xD=h>q3ft@5~dDLyGPgbV5u9z9q zi*1QkGQ32Sp=&=h9Ky&O(fLRK&XpU{o-Z<8%fyr(+b-RMqcAQ)^C1M3HIPPRUkH=T zEcbj7VTLH0{q6SDWOiNxT#*q>T{7Jzw`cwR?-&Fge50*h#~EI6g+Po4#E-Rf>fL0x zqfn~?&ULwVL_?GY;sk4uG9gRf{yu?;wh_z91ut>m_hSQ}u#jwIsyt3v9?=md!OpQc_EOp=nXU{kC#vfXeDx9{Mr8fA{yMRh}KX0c~FaeiI5Q4&zrR95m6;abOK>BqRN*@Jqf z+Rz%c+T=sNXR=NL=O!D5ylF0K&K$cjBqM8HCSI;(vh*q_$yKmoi_#M1^n9kgVhYQ-vf@u zcmXAN9JGr|C{=bO%ZR@lu?QrNau29ZT#94NN;u9ta!5GUXEv^B+x!ig^f|}v9g9_7 zE3lb@4$=1BAx7Y%F9pzH8rOa6e!2UG64tnWx3@j}&xYSn$Oi023#K^g1^T&V=ELWN zF)(P|cTGlPkHK8E#7QH*>9Mq?a|1K1zX7Wc<90wm%H-2^kO4K?r8+ zvgqEC{jv%`aZzi$0(3Qi|ELb0#B4n)gy-EP<5Q7=FMdFk0h(g_4ha{nct!@065dw^ zfKuwLvtNS(JmU}o+^&KR+WKd&M*i+`X9R0gF;csc3gA3|wNtiyE&X zC9O-CT0}WyqGAUqNuKqJx2cD2shESyZ5Qb-5Q&?Ac;Sf}ds2LH2L|JAQlDD0U?GP}=uVK3?lj0-i|u+Zs&9-SFF@%yYgBl$3xh0J#o(KwBU% zpcTd5*{hta+kz~u6F@&`XW8%)64WzUjZy0h)Tvs0JpZe zUiIPn*<{D8UG^m{!^@f$>M|P|qs3hNw93JV)PlLb7QDTD!N|ZQ9p9T}kGW9EYu}r- z+k#FB5l@+VM^ZCa*3wC-sILEdy&&Bu%Tos!@Og1p^G;1>|0Mvvz@ZB~Tx74F-c?7l z>xllvKT1<GRf06}W( z_EfFd>-xP%$9#~FO)d&kWgjrK~bPbb}$ zNSdle&8Q`)h>_TJOu3$yW+d4s$ys^KW(i|Qt#m3USf5bQnCwQpsO1l4%FsyYt(HjW z!(E~4VB(t<^@o)I6R8f5go1m-C~IT|_Irh?^G0yyaBj5tTYE?vy!JynO5zo>rB1WU zp6t%gfMOq8E#vj#e0ZM4QS9YeBQlV$UpsqIBbb2}TFJ|$GUB$1UxRaOUIev)--2wZ z-Ft{ZjHZoPsi7XXDndm*doJq(s8J}l)c4tB`yM1Gas+bS*IuYJ7Uu!MqsFhTT?~q0 z1Rh-t`$nF#1iupRZnW>dcJL+(T%9Ez_OBM5TK_s7? zIYu0@O=CD1TH1W*cF_P-??dK}+k}wTam_#X^+#Z3i%Jm{O z9^d{93xoX0^c(zB)r$U!9ajq_dXqv!*??-rf!0mZfW_S|kJc)NlhnzcHuO(J-q&&;|M}0xNqlz5g z6Y9P&Qh7<=jty9D>#03x0Q`-cw?ETD!H0@_YtQv9h&*N`nM2vzpS1w6r^@3YH}ca6 zC_;6!oHSDc$Zyk|qB9JeZ2V3IexRuJNg7ytysha$LS5H@;hXOz5go}t9$>KnXOK=R zE(6r~L5e|g7!(kN%+!qVS~9($w0+jYea%T6aA=YeLIu=eYJXQ7_2Oh&i0j9(iW5Xb zxQPon5VR=j#oM1zlat5|BTxBJ>ZOQf>81wjG^Q%E`=P0B97Qw>W4yb2v18T0^UT{a z{2VV|l;z1r4bEGGGa+crv3~HI&n@uu!JLZ6g22_UAVwa3sG`NZ1O+n4BKRebviTv| z{C?VCur(0tFMF0=Qc}VtQI|@-Xne>UGm29=gNlg;(4r78RUC>u zW(f>+$D)M1TyAyGGEohf6awGO6q;Sj1+^V5X-&r)ijcNNK^!UOZWyygMz-K$6!CC? zCx&Di9t-2M@eqMvn@&BfKPGL8(ohAVnI{=Xg1BoVG=!OsMGx>sLDZ_5B^|Qx$b`e{ zG1p@UY*vAbXz|#{;W_ghvjGadg&{53l4W>Nbf^A_WGEQzr?#Xt7Ic<$dbu33aH>>B z9a*M3K%PJfu4O_{qw>qTqci&Ru>jylAkz)ibK^8l<>_k763nZ|9=00}oagzP@*6NZ zC^d71s$={!?g6u6J~}4_+zY24mW4>CXIBNqRwDN$%}}@pg*v%6zNJcX88Eno1eQ%C z@|Ayp^vYvsduUe!WMgr){4BM5!X%P}lD&X`3a$)VZv-Gy5I|@DmE41(~cMKX6=;08QbWBM1$a zc#8msDV8L?sGXmWRTfUCxRJPA>SJbDFfWG5wkms zjB{cOezMwwxXOzXwn}G6^Jl4byb?mz002A_wCeX9QB)xeR9JknMUF?^UCwk2X0Uh6 zlv&Gdb^wgB@7iYgcxu*$@8T!Z*~k22@GK ze&M>oM$N$GMOxc0H+5BP5KZEk}p+tp`<&N$AU4zUR?i$JfzAY>0~=;1KGh*1z{X6MgT(V%4O@ zm*9F6^qsw{X!bFhimO45u7lWJ;^##ZNJ`Hv6@chtM;VPlAmBomxOcJXA40acMvqC^ zbw>kmt;;;`w15jNI};$MEASPaypOqnqp=kOFcyY6*CIH6#>A!r87BB3@3Y6p5qpm; zC9_=dOf;e9d`64PR(VPPW_BFunxox`JIl;F-3&1>WcN7nvervL4g$XEBC9`# z-GO^h`H=Orp8{M)vW5bwcLwIf+2`mxWQ+2?pGp_akhj=+4d!TR@#P3(``Mcn%0@^qhdxUO^hnxo4nQLXXqQy` zGH+=8!FRNW1A-Z;vha~;+oB!3+{GEma?_AZxNO{jTf`R9xdBtyPggjAIE;9YS@4tG5g}LbX zIeS`#u+A_v@ERdawAFW~L#{xR9eN(MXP;?(6_ENvo!>0lvfq2G^%>OYN! z9Dr%h2bdJ=%P4Q3)80=DamS>ZxV}p)_NL;UU=(P4^{IWv?RfwKEosP4uFLh{dYVR& z1!oWjjHyPs2rt>dT?ZG>0};1OVN!W;Rbc8k(&#eVu$?#QdiY|}@zm}FVCh%e?c>hO z6tTT)@Rt6NyJxw(iIwv+CCItebG0|-~MDed!++&0YBXr0B58#V9`;6 zWsh^F@v}v}ide6{dBhV`K?+CoUYQ@wqpLfUNT*KreuJ` zFX$|x@M2KfUwu(5ftS~hC$d?ME*s`Wvl?f3Sg;ReU5Fy~#WpMGP+Ehx`l~M}gO=;h ztKAi}hEYY!)1I#k&Z^uso8I2Db`{{MsD0}U2LpWu)xI{daVpRaxWC8dx z|6Dw8iaoeKda`xD`hxo6tVW`2dx00#c?-|$idz_Ha$lD#(rcyC^U{`Uum<<{Y6#^6 zWGW8r#dz*N?=#in$U%KYYR5tNTs_6U`07t;IQkxGw<^F3cEII4(_c+>r)_!xe&X<4 z{IYKMytcvsy8Qjh2tOaW=6F04z84qQ^0z;s0n_!=gA}dpc6ALU$Xt%Kdsi;(SRUYIXv*|>A=&1*^H>`bXC{~opt{Tesa56K{EFzA5qLh3 zMitWtpNVFGqYB#;O?UIg=yI}S*zI{6LFlWwFeUShbNzeanb>g*n*(!bd2l8wV_E>< zp!L{w&we&X?|d9;d4YM)MdDWdSD#b;`)$Kk+dUqK=1Hst#sjdL#GSfmfBTby#vjhM zxy`nH$3!D~QFoKGBIrjNE=4U5s>R!X^!AJTBGtw6e6jY9%5`UOVeY&OXbCkT(%fej z=!>OySSuZ?kDDoYD1}?1ub`icbgY)e)bg&P^VF%FCbC~GZyFlbE1(BC>#4b>u&LE;=p#xy3 zNubEuL25uE$10Bf#4~`UHAZyo%`cSlY{P^((k5R;42T?^BSfP?moUl?HV5^&o{D`x znE^|uL$*2-j%^w$E5Ul^r$GQ42T|mhmtEm=s(2WnsN>LalQ}8EkVmlm5n@B;^Mn8n ztY%->1ka(NWA7^JwY*%qz(G#D`K4C$!l(dmpnz;gfsa@xZ$jD)UhXk3(ivUPouf)? zbZF%4gq3Xuaz4P7`%x16b6Dwk(hEl_+j590_1Fbmc^tWx`#pV95f=mY1k!g;fY&=I ze(9nGWu1NXN2J^nO%|Y@akMBeP(}NgKeW3{-Gd#nuyF;NF@}s>H`Bt(9ALDQ-JpZ< zf9L}*e|Pr#i$Bx=YXttGpj+t2932r0`-H`F7qQkHqX0T}0m=8V*pYBu+Abp#;6DKb zU&kanWr46Id?fL2KW}B@%N`$VppcNNZ(?12lz|u9_mjRY4vfNafM?p4KK2L@gWJPR zI#pKJc$B%P)v9kF?G?%S?N67xLYT>Dg{<2QH)Cb@s0#36a(oKknSmA!s?b%%I+1F* z-h0ZG%W1$;f+z43n7TC=kR7p0lw@nrI;?yj&$qhXT$WM9J)MJ2+$m>{0(5Tz-3|CZ zp0q!tTmWx3jOK{*HAnN5#TpF+&0vmD9hwH$`(`ZYfBXKcSK5bdi}+Ce%!i8*j)b#> z)VySRcRFGT^wV%x^33-(N2dq~QdKwWy4nUHTtFFLZ`lv-db-<*nxo}= znir){*H4I6JhXfrw5a)VMJ~^GRsBZfjA^e4+R+l3Aq0{Jr!>))HkR1~hteuZVeM&q zxXfPE4;g^FjzHyk*ySfp2%_)(2-|55!J2$rUL)0%PH zqp%~#FfNL6cHPA&_6P&moc2}L0(JN1YRX$hKX1>~GzeeyyWAAJ1d*HEch|TF5I|qB zfB{`>e%A#dxb8n|?r>$L|HZ9V(dMWh&5BLFmzy;H>XxxDt9D2`O5}Zp7vK)Kq(%jY z$W??JEXwiur;!->G2bYO%slYKnj$2cTYEZ4MTTSoba&apE`NhS(X+ag{bB(Cv^{-C z#xOetXnFc4$!M{R11Y~fl}E-)mvB`>R>Q8|{KUQJi;{yl;PJ{6>ef^-zZsjttSg-W z+A^}CYqjicJlD`(s##BNmejHB{L5RlsC$k}8}f-v?0$^1m&|)V-aH2&X@RY;(;cOu?=igz=Z~9H2orK+Yn;+qJ;U#{UIF<&aV-qkPgrX|Q zjvykff!SBskef}8CzMRdX0o$^!o1wl?v=QX?^yrJcVE4dkWVc9^a(e~y^d$3T@`WL zntbt4w6rg_RtKWv1$KBk#*(E#>%)VMf2k7}i@c+GRL~BB{g4j}@L;v>Ymi2R4G;*+ z9JjgJ(YoKzNemYfSF&tjacpUTEXd%%?Mn{6a~&Q(rt_>N)oyUQodAA@x7y2Q&(r?F-y!p5#eAtumuio}zH1O&G70fP0>6Q>M`q=U zR{*Sv8W?f-laCHf&LI789<`Z2mdTD78G#W58nu1j!g;A7(=W@a zZ`O73%LiKV0e6ArQ?o}d0OgiQP2AAeLlZbTe(vqJNF=7r0*EZ z*QTe&mjF=bixU%oYITLcvg_@Be{BS`4wap3a~~@!RJc;!%o|E)Oft=}h>$^1)!#_7 zk=gRe-Zx)*QruztHFG*Osh@Ef86^h>e;F|G#F&;=uJJ=V9Y&Rr}|QbptFe zPzu8`!o6+IRO(bPFnF{dA6w`xRr~?)ir6@cs@5RB+H-#pwj_hOgMIP9Tv}~$E<`7Q z;{e&7WE=b8BqkihknRBAgD9xcls*^4mv&1WcJ_$sIUMMSP{^@C>|}Qm98Zm9*fuzd zz9hV@7xg03E!AgSRMbSd8Y}y-Edce-kw%&pn@sv1EH(;wKdVeJM#-|?FGgo0CFXIy zvc^l=Xb^}vF2s4mr6NBf|Gaj1E~W#*iK*rg9tT8L)b8*9%i4{NM}f8u*eakbJwj!B z;9@db?`LdsNOb%Vfu}j+_J{55IAGJ*QQ9i@n2;XJ0wZYSuMTwEG%SHO1RCq|1Y*st za+3t0(RX0~Oq}2j5jn5j=yjMC^=&_^RfmZ-d}24H83k#In7QknOz=qt||{T)@F5u_0U26v{cLEScP(DGq8?Y#1tR zq@iyCM^DE*0I^@Kz2kE2Bly`mYiB83uP|OA_ZwA2)a#XF8U? zTAkieZ|(;8X~oW6kQmc9k?HH7)%#5NqG#~`t3$`(8VBi}9~;9y@$}F+@7|Ym|3WdY z`x>sGVRRR!re=ISiUx!^Ue&IxZJ>tCmd^+eUWXwfU+)mnH3<)NpPrAOGwr-MJW2DU zBm^ONcWGiwt|Zh8!vdBBC@^Sir6qs^HHH=8`Dqonublvavv=N1YBUU$S%1>rb3}02 z`HJ(B#vNMnNh$Fi!n3CWVm)AJJzgQu)=LR*xr>aA zB=xR$><8$F#(Mf19I_D&8pqU+uU7-`n=v9h*{1>(iTlSTlYf24lJELF`l%lR*K9*D zZYtkOKhPY2MM84`n9x%(p*E^~_Kw@xLgE0r4>BL$J$2*P!0?TeyVNl&A8DyHE8v}9 zir*^!{U}}03hl@Wotit=z!Ut9n&79e8Fn|h^Fza!0*-?;Vb}=EYyqYNg`3Syu~>|n ze{n(f9iGBuj|AotLDkpd!*6Y-QDF(77VdoN)!|MIaUH{DvH}mhEs>ar0A3;Z=Y!0X zh?XQO!o8z`WE9~Jjq$XuM$A&z$!-xbyJ zJ=Uhc<+aI~>`=zJlcJ(;tt5{u>V!u@Jz}RpIv2RS!Jh9gWqnZ z#e~k(_AYPp621t<0ABu{lib51$Op?XG6s_COap0`ABzgN{zn)@@3EQy5he7YBQiAH z*yX;a(UjmYPe!Uy%rMd2_}l1hGC{D#QmI~K^tS5_2at1B@!i-N5&4xB-B#kh01B6{z-LcK5w%*jYrE=kv7+jAi@Of_%hIfBKmt;q z;kpwPM|`3Otc4585;qP5S3;xk2Jo3;{7(*SQjr5#7Y2Co;>bF{;i3W_oC1-wq$Bk! z+J=26z{^ogLM84+i2iJbFD6^*lh(`=1)RsnbpYk@0*gV5`9+>@Ae$v#XpvKDg4BT{ zCB&%(0*wvXUtMli7?ddh*mAkTkz;9z%eu+-D1K6a!wQISE+7Sj>FBs>){=H;Y82Hn zkXriu9?gy)X0aX@i&FrK4Fl^x{y^5P=V_W2`v=fUxvzaJ0CzD^fUFE8t^iV`;wN^i zF53tLl}9!iZK)AJ79gd~t144v-Ssn4E+h@TJ0`HPsvOtz_M!MupLZsQmk=&7Pn9rR zc~(_y_<^}<^Epk}MOxpI7}bMZO4Z#&=rmSiN)1o;ZNVrGfZb}rc-AyDhXy@F6Iqt$ z4m?h)++OA_GnG%ASv;EyTO6c{c}~w-Zb8D!6u2D0^g=O?bzfImw`E`R5)YD(*^ck| z6fI;3e}uDipO?V2KVuS`$eG5*h9ue_>Ap1kGOb0VORPo%Lle!8uBXE;=&)#Y5`L&d zhDebd%gaIn_PMsf#NQR-O}1^JnA)x~ylNINC?xT@L7yNRa*?=Of6)lQCv|}we8Yt6N{eI04^ydSSwts_g%Z)9nUcLjCC<9x} zn@ii2u1Ab%0OeIIlPkgIvL8b8Id}wiIo92}<*LqS3Y{trK!QNb8ozggIt;^fL90(! zPh?rn&=nrS>l$Hn+iZ*K5szip+MnngUN{YZko6YSMVDh@NbROpM<+@6YMd_s!O-T^ z!XUtQ)n$7SN}BDay>z)OR=B!PtUsnbV=p)D@{m#R70iH9MLSchoZ#jw-YzdH@Vlf$z{h7SsMn>I~@sn^?4{F=esu#6EWD*ztf3 zMy9s|1h2?XEPWflfdNbMCFDKmG6g% zo5U)n)2;)471}gYi=8jUBNFWgS4SHAh&T2EI?R*ZN7iN<`Vs9Ei3_XK1!b6(FVi8Z z7e+DFDvIqJnADJI@P3cPnHZhh;~bC4g<0xb)}nd>3a@8g@Pqej@8Z2jd~YB*)gp9BD3WSx?ap z?Yq`M+rYjZND(sX2KFn>u~5;1#iX7onh!({8k~TcIoZstjvoN~0e|np9uu+R%mG)Ojv`ijTG{O$))0M-)&l1(^rb48=R5omkvL&zp{@rr zNy-p<{K{wxEiID8l7iVuAcmu#Dt7e-e=P=1C`n>?+t9GrjmF`cL1bv)a{`|x1DOkq zld=NcAfBA|dk#7FMTXBZs4ld%EVB*|kz-4IEhVM@1mZ&l@HQ1BDhNXhlLlafWK6;+ zVi-6O+TlNvGmID`1x-n4^&@L^S2Ra}kEFQoAk9P0_QBqj)G%&6EI>3IZ+)^*@0Xye z;W`H){}@FvJ4S7qe#75~qB7bPVwKXgCXisX zEjpK$J^;Mn?o8fsF$^OuIwds)WZ(ymC1-PeB4{~#EN!PbPZeNFKH<^=ekPCRSj42v zI^!n}x1j-`k?i=mePPcx=qm!;okAoF6#_4PQKYK%1*ez&9>5sH+(=OTXi!nKEXJqvi;$cJLGj*)@d!@g&Ik>3O z@!n&m)niuot4FweoM7rJ`hx1Rd{o0PWQE}Q^zk_fY|B)+I8BKQY_?{1$@^+S2N<$~ z>xOr)sb%|Y`}R+1T|6;+C!UYBYml=hldBU?(Gg9Dn0F% z*ULJvmCBw8xmvC^s$3s7ioa!FP2rVU0Wzou_Q05r{v!c1RLvf5#A*QnrJVAJ#Q+|Hn+H6)@tm9s%D#Os6l@sclb6ei;*XH4Unk!4-^YK%S)kkqVNt6&cMhkQX2$ZT@n1bB+Bt9rR*+;{M}BX*(QW0z{_SlWUy zoovn4s&iTbn)A%;m#^**`R01A7QT!i&VjcKdjp-w<~Y4q{;Iyr?nA)Kx$RGB(R!F< z&|!=gpL*TdZx;0%Td=!@$>xLPR9FBjIyyfT1z^kT4rm_9n>5n-IX2Kn7{iJQCtAu? z<(xI6Q(0C@0yu<|Aw`2Va>!IE-sHgKrJ`w2yrCg>Yxc;Z5Dua()rl;L6%OD9)rggQ zRjl{7BNld9_y)I9A14MEP2Y~Fz!U}2l0}>CY4WV>th4E4hMxV%Mu*oX$%YKSmR$(m zLsE-doGLrouKoMpcGrxuKeBH|Il<7}b8XTvm+x;sL=pe~N76`wsin489FztW6hJ%T ze|Y?~fI0`B%}otp#&iH;Of7##6iFw!RL~pgEH?K$r)4;097;MKrdFsHb(gK{4Q^ag zA=?7)Vqis7QjZ7&kWLK0xu9)~tazZajJXP64OfWUo(Lx+`oRGNWx^R!mF?et!6xkZ z3yN_acqJPomJt^ef-mmK*y=G}5JZ?j2lYX0;2(+C>_O3!AW6Nt{`C2xMHHNEmIrT3B*Nhy2I4e}y9_ z$!i~q?onz8sakzFTw3~sb0(L02KYW52ykT4*R3t1j*6kv2#WDvyXjp3f+yO!O2+2` z&*n)bwq~HFYUh1ZA96!5ov!wK(8bk#vn@J^qs(0EAiaxSwE(p}7OPM3%LWmbUTE|< z4cfm$=E!LYLPAL&Px%l*B#UC=@0tiN{{=W+@x65)S%#7G9 z#C4uiPlaGW1jlg)mO0r|tDd98iwbZEEZB8FK=Q8G)#{iZF<(zYSg*p1y1Jg_7*HMl zOy(3AiPrOfaPOprMVG=t%P{~v98(zMlbi{wiruczaPIM?w8U}@T#s3EeRq@wBk+-y z5o$OsnG6UEW;R0@MltJ9U$R5EN2)XcK)Br#XfKb23AJO?ZQD1;;z*~0tY=(m(l72b zXuDx;3+{b7D;%TzqVT|SOehg&R=PWC>VC-)lptA~N|HiAzi5<#!G2LnG{+u^XQcp1 z&urw>KZqMd(Qu}kO<32Rm5G6WQD!>FEeYmjj?=0^0OpbwR61@*|GVBycz8v)@68}e zcS8~XQF+9F8)?tG%g*9wSdP$nU3X#6vom6y&2APOD3N_a5b`D9D3m6up+ zAgbgu+!eDF*Bi$I^77&^eL|^xGm0yrir)bHgY`=?W&noTT#1C>%TIpBzUQ|FU{h3& zwL-Y(HiH=zgs(&Y&PmcCw)2p$8iZ-fgRzH~X!kAwOSg5Tsv{D(#=Bix7*Z$=88l>s z_!dIG>0rtvVC_6feCJV;kT0`=Qv%{>8WRs$i^x+>K3NO=#3gaJKw*OcMMKe4;%mpf^YO$JA^f?pnU;Fi zGD_m#B~c8ETmt*{+_a`RPnO<=WazrF#pnQ}?@f=mpYlq=2(;~q)v((fRqa4FMBdG7 z=DK%b0K!|~*5Z}UWO;mV0{0tkHuqAw}ZAo zA2TG1nE~^8z^v}5Z}CmwENv|Lf@PJ)Q&^ncWQ^va@XPvv@t8`1o$}_5h=L#r=m0kh5qnmh zB!gG=SP=Bht_8}OJKOoj#*9EHc3sSRC74O@Vvv`a``FkNfs7H3!sWKe*R0V%@V;h! z;sn7QUEYmes0P1lre_kI*g3BFb~MM&thwFP5E`t>@a<0YPHN60ldnB@;#&!=9EjqQJ& z^XEWsT0%PO)PPRVp7nRXufs<9kso;NrOhAlxX7m~c}Qf=l=n_JV1Bq{X7KWnXARgx zX^&S=fBp2Er=LH4X+QlrefY)Gujq>}89@4&(UB8(nQF{GeVTAYK2oMPeHvxPWJ4f+ z93UgxdPS31ysQ97@$_dT@-Lo#_4R*)V`=@>Zvd)mWE?(OBZ?>K7Y9v%?b_o57FY8Z zPhUR$wf*#quYXJuzoZ&dy}$m$um9-jS2q3gV=C%bU;l%rUkY2Ly=uPtO?Is6mPU0; z((ZvEKbB#BHp-6vA1FIAKafC8_6^U;lKd8%u_%M;k7!_4iX1#qSybG%~vJFD%#JKYOoypbe9z z-Y25_zajm8`Sg!bA{D@Y{DKGQp~)Tr7z3P7?a|HuW%=IUf_xoUXBk{5U@&a z^!N7&uy!La3_VJSA+;@5hrXHr9y*B=)9(SeVzLUX594ovo4Cjus?C=4eVYA9yJ-^8 zkCFby?z=8K6CQ<5gf#JxW|i$=yPTzpgUF{;32i(pH0Pp$!J+K3o43^9G55^qm zMnLD3BR=)efz;qk%#JCGS9OI$mhwP4=%%C`om}etgQ?Dg$i5V;yEAdq51-omtUQ98 z>(c?IrxjK!A8)5rVRv3(vlRL~YK9B!wz;h-w5r;wVF=W1|iI8JV^dX}HKD9S+H+}%h0#bZR z>lrh_X)Q0oPTeX$LUeT!Mem_tD(+2oEZ8|#ij%1^&NDLB>FArp=WRzQ6&)Rm?j=k^3DaB2m3UfUn=ghZ>yx?Rv3vF+@ML;YsIeY_QX#*;cM;lrK3;kRzp z!kr9v$8fT$K%&@TKO?IG?}T_SWNa^fyj_a}ZH6u0!J}sAsBFKoYdRn{h=J*B_s*gJ zNA_m>s8%bSlp;##`#$}btX$?VZe_jteLG(+;n-n=cnz+}TO6E0g8WGu+uoh4HjCVT zO?&%*K?!%)eZDGi`lRJT*KJ-kkM<>dzdU?&&B#tK0e;HJyk$}CT65)CMU)VRQZ1n%b%JTT|uZ@onsC5{PwWed^OJf6E(U(;Z zo~`=-`AVN;IY#MbnRmdkX~lC+wFeL=Axe&;CvhRILCHND-i~JO-caI$O#?U$5@((e z01rs$^If(i%;0(KoF&AzhJ;K^rxR|kBm`M{G$izN!u(1?f2gArjgSY@=vt7+CHcSe zJu>k+p!nPfKqzQG>7R`K$*CjPg*N;&p!nIh12EC$4|F_hZD2oCu)oiKW$>)|ca~#I zMO?D(OQ58eIjC3Kx1U$bZT@KAsw>}K{Vpqj`@N;TlD=8d7aQ6mGP`)pHemN63l5J9 z_UaSRH*KnXEE@3)C%g%CG>nUVef*e0@nn#f_VMlKkF>EpK3^(AD>C3xcFY^nWh)YN ztIogrmP-w&)B%8GmimtnTPsO&`9y%MF_ko4}22kQzwNnG`upp^zLE6@lH3J$( zT2k;U5H=ab9L~P_?o&{O+Z~NMMs-{Cc>cmG!Dqrm2Bb{jw=J$DV17S;`bv_FP{oUG zd3z?1&IAA^YBO>0FKoul&(EZWxJ%Dg@REWXa|d6kxTLLI|8sNNLBsw zvQi7UWXQ&Vw0_0tKT5zEwCPPl@K$!Y#AMRC!A+uf5a=t|0n$`AmU)PYt^}Uo}@7 zKc>OpK_u|=1qH187LK?4Fa&K%p+)vje_D(!3<1Ll;sJo5FZve2Bm=Vbxmdn=-qy@8 zKVT_s>n?vzDZraR7VN}!2D&`-{k7WS_F5Oc%8ztBJs{;Ul%JIzSaekDtEEJ$mEnn8o!Io}RA`TAq^h`!to7HR1;_Qm%JtY(?MI77*Nx5wa~* z&>%@y+DT5>&>Q2;a3F}*PzENSigMZh0Mr`IbwHfr5%@Roi0AXU5{js zN8Iv(tVip9tj|4SHtjLgohyKlN#M|lgunY8z4yU3my6orrkTkG$fC9oN6B!@0(z~% zExp%Ha)+U+;J%kLB`aDBcf2Wf#=|>%?9mn%sMXsq{>kUe%eEmSjcU8?s|}D6BoVx3 zLnZzOYrKUk@raaPL)y=L8l%)+%>Om83}%5^-fP#nqv;#b$p?Oo@VBf$Xmtjo$?0eb zj_C}#!&6Uv0H*4uDCOk`)Vf*6n4Y+d<>X#Wds{3Vi*1=5X*`vuY*!y?cs*vjEt7&x$b7>WV{37KdNu8g!iHhUUJXmtQr*hKjjEky_==bK6W^ABzR4s?*qRt0cQ zu{XGMIvHW-%d*&KZzL@pH$q9ATH4Qr26eT9r8h*3OTyQ5)=5=pEvVMHtz*xr9rb~I zY6hXMqMS(#96^ zN7+LJ_pEeNW@6nJdmUvvB+~LCUjYokKJi`k;qc+221Re-2fkFeFd5aCQENkvYN>c-|4mV?n=l4XF1rTtUBw4$Lgpn#Xm3X%^ z&H%z)w|%+KFSQs%s_jvA4m%;^K!T!yj9JaJjtT_fSV`a=*eyH7cju{mI#L3|@C|&A zHuOK6^$3kdI6tsmgrokfHY#HGDLKkGH4b4lf0mXTNGb;-md&u*wfBSb{z1m>$lY0b& z5a=xw#LYUIfIm0+0@n)d_@ZK8?x=zJOlod}541LOgs2EkX z%X-UuKbb+U4~An`t_Q3jo=WmZe;t(LV2end%VNA#vk(=CPC~?VpC2>(CcRo(h>Loz zGfGRQ(n17|E*T|)olsoi)}wvpnG%hLMc0c8v8i)Wt`($HQ9^72NA#+wxhQsP_He07wOPO+mT-%)4P6 z#icE_SaM}Zh40ck)oYL48bCsf6~b#EttoCo7Mw2Ix58j5+nbEQQo4R<@vP|R`cObe zuk%&@W?eUA_`9K>gu0l(3Js?X!62k_-3QJZEC)lx26bhLqt>Xp;Ki*)& zmuL+PbN5OwKG!DqTA6zArg*uMA|vbed(WRhR{8(U+?&M6awchFuXoAM!dxT_TyU@| z6T_F~YqfjJ4>QA3u1hc0-%aSPUbQVi z(RfF)+v9rMZEf1z!6Y;diEcT{Juyg*fIOSAt(e$`AFICyuy7S1b4Vf>jN1*lZPQV? z{XuS0lN&|n=27=-Ol<#1?m^@E-EbbXB*F>&=7S?7T%7d~BaBkRy?Nf*UXwi-W)FJ? znM~mL@H-x9qY7$;3B1)PUCQWU35P}wL<0#e&n{yz<;wGXsuAk7C zQ+8E!NmG~@9EXdDuM*N54PfKgny(Z<9ihHX=^>C|ESS4ap`}DrOZtKrpyO$wij5_X zX4`s-`{)yTcFF`n5+``GnooC6=!?9d|22tFuOgRGfyHd_t_{DXpU~IdE1C&4OWXx_ z!nQ8(5;bDK33yQ>P6I;0rM)*EqGrUGqzTX~`YNxej@mz_5yM3isc)oD%faxsNM63g zWkfmyJQd$#R>=iUrcU(fGy3TbuVy$hk4sVohi{hD`e>W<-^I^vbEpP5b1&kJeu}I1 zLIduUzNGKLnIG!24U85X+G5J}6KGL3rjzLN; zl5$E?V;iz=lQ5u!XC##YG)uF((l?x}Nk#MTjI;_$WNM^kcja=jCKU~xc}5bLN@iMJ zsg%xclUYa+NV5N!Mj&4-5F_~y`Jw*(U-wzC4xQifnG9Cv`-Tj8Wh$}W`4Wy+lDwx6qAB*g5d zMjW?Mzofpr$R&2kF{&(<6kPlQ5IV=6MAJ$a%u@&?8gPpdX+2GK4k`OIy-ebi(epfZ zOEnb4VU=%Ym;3cWnZvgd8AyO)iD%++fuR$35sdZ^X%uIMh30CAVd5V?O(am%{ z#1c(PRpE>l`Gza(u>0?rF7ag?3jpl&#*WTrM!Cv&90f#`9MBvS%U*T#D zwueGLQDK^>iqF&x@=8+9(TDLoXB@L@v$2M_-7SW>@dA%2c6D^ z_t;z$yU1QiNFQd9SjL44h;wt)I79Rl*y*rqc2kNw{xlx_8Qk({tSI$)WbES$5~&arkS2VV ztn-Uek&MUDmPfMGVH53MAx^)EEjsqPh|ZH4&6j>#bz-m7LL3+Z&_e4Rdt}g*f15WP zG@lDNaZlS84JJ@iy*PX3BI!Xjb8WRo`{>iRLStBwVVg)?n9p?_a|=YZG3Xwh-wIdI z%BrraC64qtj9aCjkZjlbbXlZfvT`2-(Qw#Nw{)1$hKqU z2IDRn4;e4HBNKsIy39zXLN7&&l3|zQs?gV@$47`J3keAZ8@m~czHQN+hd?lBK-)$& zhTduSy&X@V4mW+bp)EE1aSY%Uo03*y5y;^%C3y1-)KQ5DZd zxlN_K1U|ce4>K#wUEMx2bwO@{ABgPMs#S+XZKlcUO8~Tkn@QH|R;~& zHMCBh6Olk(lkytR*hAlLvzbOVJIo|FF1#_YoHcND;SN!G*={#f<(i=i3!uR1n|d!3 z7>xA#Amj?LJ`2}jvw>E7@=+137dNWMb8o2vq?8=3eDkkrI!%oxr=u%H9C-M~D&e^5 zsx9)SmtER!l`8T;6Kt@d1xTb=??dbi2?FF@<^eG4EdW9YA--cNN=5>2>NUzb9ss}| zG?`~ntu!gx?VcT0=U8u!Ny#L#tS4#EAvxgc%P|GaM1VXZ#J+O9CPK+JmRqNpS2KyF zgQ!-jD{ZrFfZZEawnG|b!kHxxBck5eXP(hzgBx*!l+)1|G`uTWrXoxx{H~5ihp@?W zQ^Ow9MK@$u(;vRyPf%|rH6`_yI16dez~EHf-SGnlq4&NB(NaG$e24V@tH!Z)#ygVu zF336gB2VY)fokVG%X?XBO>_>z=k+xx?tSaERsW7JxZ%_ zLd}-^2(GRZ3xxhHILV|r0>)hs+vzFa<^!KWX9S~z3{Yc9wuU&p*>mi7%@Nw`J=TaMu>7Gsz}5-e5ogeC(J<7&59$BZ~qHI0Ixl$7fTM3za#ihq}u>PVW< zR$(v7nKXQR7$}~kQ`(=jNmB&Qt92Z%!ra7I0j&~y*LGi#NGa$VpqiEAv_OL0oV8D74Q>QiXvl zYzFomFp0$1bxlHOi9@msji_oE)C^K$f<>gvL}<`q5R%<>iK5U@C z#Z(bmuEaBlrIw^C06H9Z%k)^?3?X%ZAPL4L!dejThWD2w&2rpAZ#716WZ5P=48 zQIIXL87Y?s?vr`FjPjY z!ye}tTm;#ysWhgHlEWG2uS%0%RmkwBzHNSK_VvD-d;%__aKiqyb_bD^~u=1 zd>twRDZ!*f&GH&Y!|KdsoXHz!vInhT;0mK`0Kg^BF!NJl z`-XMqJY@iOhq(1Rhx6_H63CM)+E@|;hW68#6scrUr_A{!13*X1Cy{A-R5Ko!OZeZiR6-KdqR!TP!$fDm;NGIt8cOMHL5{Td281t5r%er6eQ~6A4&V**2h+w)`qCxBSYncynNr zSwUIVPZoSHOj`lJ4!!YhFI!;Xua67g9t5g>lEw2=1E$e1;xb$e8;uI?W@oGHl$9rk z{wCX88sE z!u2~K>=yBqeoX@EV}_(DF@giS>zEej#Q|MtDKxooAckAP0WC9Z-@$C7q3nz(Z|kC5 zVJF=jP&fUSo^Ounc}*)|17$VT-4XSRsI2Glk%|jaU48SX?TWY z#3m1`4Qlxe2e39U`}@=w5K-PCz)Dl?$%u9ppC6~qXpP(n95=@4Q){B6v^Dm}gP7AG zrZ*4{T2e6NYns5JMjOKFQ~UkjQ}L9l7`J_hutK6uNuqgDrRpbNSktCKeMGvcmh7T+ zLJW%JMq+ielJvj&=zsa!UwrttAHVT;uf7QU+=-YZ0m!ag5vQUb^C;QZM#^qvsL;t@ zfBeUP^)LVVUw!oQUw!Zr{10F}u+G=DBA?~cT2cS&2XFlKkN)Sse(Uv?IvcG_ya_SS z^JD|il`IGH3LBI?aS>GiWjrY3@4owTQ-&v&LDXZ(KL3&htdjYV{@?!e+YSAI4X1os zX*Wdpk=m%o-9FTJH73&`@qe1Y-7ux$D0S zaeVei^`k4H&CW)F54pDFfKkSfVngokUH!kHU9=(mKmN`aHn!(qxbQ2hTP^Rc_M&Sd zA*3=`F9(=@fwHkJ>N)%_NsO}WQ@*}~ES;xpBF#7cvz(7iU_#t8=%ua<1kaZC`4)J( z^}O1#6)$Xgm3?hA!*N=)LvX%R<1*q?^=zJ#@}Qpt{rBFfApsW~(^}thY*uYd+W4EI z!hwU{PUk>ije-A&ylo9z2HWI8)7;ZOwZ@{?auJ-6%XNDIm`1)%BU~D?!!x&(m9mL4 zB<>d!4u22YIXNZqY~7kHTQ&~vxwIbaHhi1UBM$#gqA(X`ia%k`Y`JL$tk36>gr+22 zgVv82y7#-bH-vr&p_xnUAVLA`mZZC=UdJ%`7uQ4oV6OQ6U$>MI`V*g3X0s0>8jJ@| zoD7dN2|YM!($o5i)U7z)=+!Ek#<*7Xhq<2Cd!7EYo}WW-&3TynGZAxwmAX>aA3rB0SCrx*`r31t+KNL zV8R0SUyB5u$0vHhTv(%08KV;H@|3ivjlPQ#1UD%8F1)UUY+#geUZ)1z zzu-te70RTh0ipuIU`gj*N@b)&C_%PocO^JAbxjX2EJcKyR*C%#Y`!F|U~09_+o5QJ zYffVvhc`qok~MPB_?0AFtF#~rx3LwD@G@B80#IOfxrVhW^#Js9d^cgl5bU2c|eOjS5&$(gv~OWZ_qZO z%pxi=VQyw+y^3fi(*$Z~Pl@wvnpHWQR&kFPHF}ZuI-5pqRV8dgwE`k6OguYkq%!c~ z@I0Q9h>zNpY0i^%s{#{4X302)bki9O2t)jx^!sU3HVjPm84utzEx4N0uCiXQXq~TR zVApsqKppc~j_XlXz&xC4|MefhDuS;mm2re9A@ihQ$VFpUB#b{%veytJyOMm{?5X+= z*Te<~_C!#fD&G)`Qk>|#=m#ozn!|g-BhClv01(}0Fldf|6Uyhw4H0%5B=&(b(P6v+ zp#Xo~G=}8^>qpC241sp~1-q#NZ0!abT`dq)2WM-*yhH%{C!}DzEd`te$XQFQPK}N> zpo8{pa(br0XqmcnVfmPRL7R``5S80PtaFRa;|lcJoN&-LwmHqBE!@~2)7lPA*lsB} zIGdTR@)S|vo-}*dW@jgbZ9QAlmi5h2Z?JnGL#aKu7dk$ir)ZPLxXF!fy=}SMT$jKx z=}`&_yBj1XIFu@ZbEI%g7JL!(gjG=h-XIj>nq&zD0B3a^ANc5iv<_Hp)(Oy@jA@$Z za{$Ccti8STKD2K`gYTJ$A>tl(_n49uNH(&OIO!PW4zdFqXXf?enl3hyZ3j+pIRkkh zJ6@b6Y1*1^ljfDygEz=nTYu3qCNI3mS1gEje0Soak$WW6P` zLjFc(xc2beB6*_9mqi3LfScymyw28fs_Z+vY6mzk-4%f8#8uqw9os-gw7C)Kkp!J3 zpY!V+rR-?cl~rk5b)REx?^aR86PkE3A}s6dSb!_&Sj-9@UzdhW6G;mJ=BX>Atw`XH zog{nRZ8O`5A-&1rHFxXs`f&E~*4e7DLuU}C9H_uQOvmp``payr`*f?I@9XNVD% zr|i}6`0RGeWqc3E;qz!ttMjg&KaMjX*j3wx|NZxrIGwd>E#p{~3~S5^s+dMAKn)0S zh$#b!@-QJ_v^vCSDI9=T2OvRRipc zBvJq&w8VmYW^m69LChQ1E$HfIbLDJYL`;G+(rAg`Hr^&|z)T8pOEB~ShvC{Hsvgv? zC8%0UoHjJgGvAli;)Vjj_?C!Uy@PkKBJ2D2obaCKfUG|zYpF*2s?9#FjerNFi1!%@ zu8^#rsZrU6UO?@h-1AHcZ#$ybYqxm5fTHKRXPyJ15iWP;Xm}Nga-f<{?RM{(T*vU1 zrn^EjKtOo}T>(wfC)gVxS#k_FMbNwFn)hr+N$NKZ&ZMR1SpJ#I4OifF(>l%&Cjp@y z`((Y~o&&@tpyv$h>5a!6L3146Ih*i=oWgDr6$Oe_#n(;Uv~(Pq<)Quf5wd;9I&%UU zBw%#tbCP?@j-F4e#*&#C9;_OFv<5LT5sZ?k3D(52PU30TVj^VGs!>YGV`ve#_9o6P zv~2gD#e;HW#mKgGS69P>NRl)e%`?Zjxv7D3&!yhurjFMP;sL7asksP(o_|Kt8xd5B zCFvyzDFSsz(xl0K578?CvV0@YQB#rjW!L9sWHcriqS@o>bNN$iK?U~^$R7By&wlx*GjsmI}{vf$!bGnOiin9D%F$tp^BbR^jLJDOvRC4ppu#RNo>gXAO}CYvcu zUfAzTZ@`Od1KYC0)HdxvWem%8W$=^kH-fKKEcfYQ^DS74!GM#iVmH_Y2&{WU^<9G@ zLU3`dCek!2GQg+bG<&-DT>UQlc>GCP+9gYXR8%XR{>;?m&R{wUnD?Us-Y zlFgxRPg5lb7C1{T`e}-s1dj7rmnucLJd}8Asx{n%Mv2z6z>4IYJs~S8arNkp;?WyX z4I7(&Qo%PZ@}x^^HmCBunaudQj@`3MgRzzk<)Ng0LPeCF_#y#38oQs;hBS+CBDdM= z5E@_skGp|6z=W5T4V<@mw!r_qHy-Ad!+ByF`KpfD0vy{mUr=quY&M?}C7KD^wH^3fYp+AES6wzct8NFb_tuQk5W>yom1 z^af0vV}yyK4oKS8(1;|kNTv>c$L zP4na6SQ{7tdp_9)v>bgUw!4JqncjqxHtJHR9t9e&ega5cIES3_p|7#QUCi7NW?ZuK z#th-i&vO`8gKbOqd=#imP2o_F zTNT(x?$i9j09Ile=TOUxQ50mUR*2(a&sZb{)qqbm)wx2I6bNQi5rJ~HN~5Y`kCIXJ zV|q%_xCQwtmOEcqu|F(Y~tXg*k@OGh=JwtF7Aak z?&@LUggAgfX{;yJe>!YQ*Qxq9^j;;#VT#)(`M72vxfe+0I~egZj@!XtDUYBfP$5gB zAC6d2v(GF`1OA?A0A+wjYAHY+#yW8Z}|DdYJzpr|M? zq&Ai<8nAMM#_C|tScWVz8YDMp+oWAFl2p(nwv9%#_r$(l;A-)m(oP0xoi?q&UF}Fq zS#^p1L1MQ}9I*X0c=ignf}B{9_v;g=#ID))q1jLEC@jFJp7YH(o_S3ktIcCIdAu$U{GHj4?!=Nz zzB$Y^8~}G%$fQYcx9OeHfT>ej{e-1GoRSRFyQ4u{AvP2|vn7s@;oHOXlVLaESenPc zYmz!`Qh%5f!Y8{^!8}JsS#r2-j-biG-99mv^)#7XMp6ROJHzy$(OkJnW1B&IG>^3Aeb8AQ;#VzK^j<(iQK}l)Y%=qYnwh@B^ia~cw0dxCv(7K0^${Yp(MbI7xYPm61#}_!|49%Q|6; z8lZUzdHtkmqr>D-MxKo;H3$;DNcX7MEp2phxwF>OeKuPikm`ax0~86vZon3u`do$h z>D9?oodw*N1mQqN#G1guWi&--q%_})XRXZDlUWkgL}g+qX`4!`5ISHn96#mMhA7

      47WAJ}yckZx%bVl{{?iE-9%pom=4a;F45Nlu^!V__;^A z0$taeE0q?7ec@QB&1fFn?LFGM0M8_KM?KLOxn-GgQ-D5vz8DNQ@E9K5U$0>w%iZ_? zMX_U`K9oy627&e)BpAV)Uq1(`6cDEBWt`)%gn!;`AD}nYcReEgyQ5C)Vlke;Umx`@ z?!Y1`135j7Mc(GJc_*E0r>^v!}n_N~>l$E5~G zeB$(tDJbqhe@|teM@5zcz<~G?%j=f=_f!(_5Y7{TaYR`zY_b9JETb9+7(f^!2^+E< z|GwKjnUR*+`~Ykuqd)Zdf`E0<6adD;*G*kcTlExnF9{Ef_jQuTG|LiTZcdXq4xEii zGxn^APQKQ*Nk%@$#HwCXuDOc=4+zNObov1iv8onG7(j*`N7*|Wo)pl@l6jLQ;#nEhR9T$qeyv( zAT4|qLW9M_>-Ec0s-mLI6%?!J%`_UTaymoM@@QWIqeU6yb8j_2ROgio(~{o1IM**@ zz$VdV)LVRPxK(m&E8%0(fnQ?@04NmDz)}sl;8o$4Sde`dmh=k$P-LsnM~q=p4gD+{ z(?;iz95Lf4MrF=6DhS&1bU~YQ7xg)Ak;{6zNjMfT@YOdo zs}qE52R2*2j!zri4^S^q5pa5c7d}h4^daRVxfCzGdpdMX>Kx0k@3|Aw_psQS@^?w5 zj0etfQTlKL6%cnMu$JuCV1cNcR0~!34ehjm!iau5+D@@L=#2$>Zk^25rv`^aZ|=P| z3cJyYi(BB5bB z4&zjGSf#hsFcsVyAa9zE7r+Flx%Oyl$bi{2J@&w9TuZw+7t9^J5H5P%B~Dw(X_NvI zxq!bx+O^9!T-!BW;9hiyrfm)T=RPs)g}D#e5zw%`Aau2`cQ4~TL5IMc(GD2Ezvo@? zm;%|++NH6cxE?Hk+Kk~%qt^9^@0)A~)cKN3Zktt2HqWta?LVPeyDj2H@~nh~roDVC zP%L!`)OylzHrtdwpQ#geoWhJIeG$hGS~OGGCWx3>0^16Bfw*5z^=P59?Fa((kuX2A zY-&OkTc!<5g^C>`D=nJ$C{UIy`#1M9&Vho3jDFb9x460FVp#IRq5%PciPw_74dw1LEGhYVUzHWavi5f;`86RbBEUL zOyUsmo$*GX&*cXK%kGJx&EOxW-l$*vO0xpTMyNQQlrqxCNtn!{DbA7aLaxlN|L7!R(NqYYeqgCPkB-WUg&p=(8f;VSAmzi4As438FW^4Ug&&s&C;ONY4ykmt4N37=}0mLA&y98FHfg8d% z;;!CyW8-D|pIns{HVJoQ>*P@E#)F(9M>X$~5S z@o25udLuS2e%yDDA-RgPVvn=BO4?|7<1?hZ~&tu!MrN5!s2;7 zixC@Jho6~R4gdekpryq08w)@V!*XJpW{D89p2-F@ryNte{TlSXdg?0)dNq}~qygb; zR?3REr?d-Ye64VTe5V>B(`SIN3(kBA_hOv^is}s3;Ae2lI|~uP)IBr(r;N}%vq{oN zI*qjCC8_B^FE-CY$?KmHR}2u(CO8WM#9r|!uX#41ya58&sJyewnB>he%`Zr#1LT|E zP_QJfi+kq!hUJ|RtERsscY=!N07oo5^BOWupxY2i24@e?fVOC!IsDhR@OL7)UC!-w z4S;oyuE4)2U2x{8Do|w*#_$Y?RFgBBlJs{H8YFTsbD%LJ?3 zg)N)xkU*9w#K~?Ch+WvuNOK0|m@10l5(u;~r|Ql$VSzb|$8~d%XIVUY1EF8}LNmI= zjq9V=K7CEUeDvm&S*7)> zcptO$(Hk7*gjK=*xVq!HfUpDlJfD*g0{h5=p5rV$*B-rA>QTChi08GPQRK5#4TEdT z9(3O?{{y(4z=%VhSt#;8A*pG||n^N^R3^@r&EHBwh*Ehe}c(t;*8NycS z87UEEiAfyOhTfGY_6Ru4KEt&<@Q6u1TPA!!54EdW?IFBz#D-xxM~Y<^P83+;1WRA4 zxL~8EIk1Gbsr}~hPljhlS2XB`r7_`RZ ziAuRdtQdAnINF+ty0yvn>lEl69RHv$#7X`!-PbdVj%EL^ejqUE{byp@CGa9RdRz7C7PntQQOkSxpEar8R!ADGxwX4-(Cn&tNnre!dV6ar~EZ>mKpU9!-k*0gHnVmDr%`~Qd2EX3$Ax;fQX!ziyY0I_e zG+m=gKT?O$ffrX}6Q|W2Zeqt8J(#vp0<(~FX5(}9BBBm~`$c@L$*q-fTi6Phi+6Q~ z@EteQIb@+jwlhoN8&wjI8!wtPDJc=Oaq0{G8~Qnn*Ga*Inhm9egn&KQNcf#)Ym_YB z$2is2tw;Q<3N?IK2lv)G zC>iU#)#jeCs8Wv9Mbgc zaW;2gyzBODOzl$~Y)&l6<(a))o-$7L#eKH3eU-q{h|lWjbj zlzz$R^fLx+MoW2)(~daXi@msqj9wV1jBbA&!NZvSpH#2T@>!JeDRI-U4kF$fp?#3m zYP0ejz~D2I;Vw~j>J~NCaXgc9I|sS#VeVm5X}&svMVho^^!gc{HlrtQvcN=Cc_4CBZI+D zJJ9ssd6EcW?3E37P`#|D=Ww^|#|+~@VFB)fv$z*5YL;h3G{^A~2=VDjaT#YZpgoPU zE^$T_?>R~sWiI*bjBlwq`14xuO0x{=kYHHpFv;e)wIJAwA>;^&ibFc3`wWLqBwkS& zNvspgM)<1)QoVw)V5fy$M0*bh0Hdrh(vc-{ zYbNouj*So;hVzUMYSdBc3`l~Ins6`-{zz2L3yF)R`n*@@HbMN(y~NB`!CDgK?K-2; zC}RnRg+7R?NMHZkU;dL~jlXQ>d+Zro%EGGzS{N`(wG4rllCq*wD;mTZ!fha$0pHWg z5e{Fb5erwQDKq#rV_B8jzz@W0b(>0}id{nT-_}!v@4{)ekIlHboCCdaa{Z(@)hGU$ z{S+x9Q=B_7Q11LxckHv^sbO(&2!ulb>>Wuj+2p_<1RzL=o5X%OT{@Rvfc< z)N}T*pk6}hGw;lLN{1mcjqEw#3xV9r9p|2fqjE^x9gUfC7Nh3TCdIZ2*zk^&x=N7uY)UTWsv6Gd@rM5{UYe_g?{C zPWMJMpC{tLDnUH~OrZnx2scZ_#Sv|_&iMEU!-mLVxUa(=Luwr(AQ$lk%()B>r6WNL zi;StM+Q8<`R>!Blv1fdaEY{9(?mNw&g?WAsYuq?l;>y(`wM)QllGziGp&BoBIQ&8K zpvpW8Mr9ex6n8R5GG@8t+w9fpa>NEh>kMaKlobahTUZ0%R5B63`hk071kYZ;vuoHq zv1jC)DU&1S2$od}*WA|G`qs*v=YSme2H(xm+=~|sCBNZ&0=^qH9^VmcQ_8katwO_` z1uVo6L{I$e9zsYyS{ptGr0rrpBoI6?fiujabJ~MwdCU29ntlmdhu!SpT=N?`+>IMp zId!ASBC-xML(UzgDgZw~z`qXnMSN4j8*5Lz1{iWByN=&hjQ5p_DG`nKX}$OH_tzxa zM7~*Z6kAxvV;UjmonRj4V8R9mDCo`n?$yl=fX6bz{4qCAk|DXk`GVw%{8?-QU$IhP zCcxZP(Is{XQ}Kl#^qw{Z{DXA_1s8oekM?r2JECPjo>o&C9wvPX)66jy>&dBP$<&Zb zk}{f35y6gwU&sO)ya0)LJaZ35ic!DeR((jw`XYpA)77`hviyqm;Q)^dku;M`F!ZPO z<>f2~sDO+*SSJ1`8kTi1PzkY?8t&E1^rD@>!_&sGk|BQr5|~viT2A8#-r8_4j>{*` zPJ0O8fnb)iWYf8P6_b+5Sg`%&s`xgD1P9Ev0E`>;!Zrs;zRYnF4`ac8faTkf9ce(S z+Y4(TSCaxvJ39^eCGVzBP?wef3DejHNlFpJ+frwz{Gt?gN6J7iKU=U5+9J2n#OuE( zfwltkq=1;MIB-k?2fOXTsbmBEHjWF7gP12JxS_d4+Yh9JuSDmSCZc?+cr;dzVtA&o zy=mXi*z>O5Y8?oFz!+-`bZ>K@9etJqZmYEqB8Hx#Ol}~8D;#$YGoF@eLU#oe$re#J(woVj!@>gA(qf0x6e0NTcO?ww1VD7F zdYi*}r;1i2J0hGc?E~P;ds;hG6poytDWp`CMcVpwuT<&yvMmkqdL$q_DOS;J1{a1C zAS|dN+1-LoD{N}`MMOPGD%5#GY!lv45Doa}oCI3pBCC9gDA+A|#N`1bc~;K(E=e^; z2%1cqdH_hDBtoVb zIb7|NO{k+y=vi+dWZy+|F`8^>Q?92Gz;rK@6#FiRyC*ihz~L_RnWLj}e7b49m@TBk zbr<2rHrYb)i#dSTE+QdmI6mEcYZ8hNV|i@W9c|(de|v~bq}UQw z5*-X&o%AAtNv4WEw}m|qAa_ZrqSrw2pdL~Y#XgkI)i3Zuke2>)5X^unTg0F;A_Ulb!WlvS?(mt638>WI$FCTJ6DFB6ZSRB&; zP_?Fcr7^Y{(Eq8nw2mI%3RrIg_o>*!QxX`}#bYYIAVDkUnUDeCN!=yP;NmxP7u>+J;|b~Mf26d@ua9E#-2LH2&P^m?o7OL&Ij z=%dhH{rx+4*z|*@W?D~i@ksU61q*o*!IW10P;a^i5;mJeWJG9G)?@;|&EVm=FRIvga0M8o=-IXwCR!hotUCoLDoxobZVh00h(jNS7Dmi& zNhQ|_EppljZJcY&1x6{KXQRLvh^q0kE9z2u&!zbq{CVJ49#@sIs8fFFaqrSg?p-#2 zW2+P$-hlENE(=-_FZJ^{|;C+EFL&60nCm5 z;DU186^=B))uLhnJE$UAERt$fc8%;(qzi>U#4bc#UD?$dDFmF8=JW;t`?TyxNuW>5 zl74hG;>p1EWO<@P<#(hj98KN%opWT6gR0sx{Eh~@d)g$XG{RjO?OWL~SI4G24pxRE zZ0i3=N9FNpA@@3|^o#+8Q9kKgf}$dF^%Q%DWl3`#jqevZFr3U!OQsbOVTc^sJV`l& zSpW&)aoY^E)j=xW^GLv6u^JU|RdK)@8CV1e+pTfPOTH~NmJ$+@hs2V$+B_sX0MQ;S zM@vS{)?kjm!Z|31KN=O{AjKBP&$CUm8YKv%7Pjyt(q0)Fcevgx89GbDxUXvV$}A6% z^t)v3s$OLhx{GHtjY~5bLK%oQ^#TptA%teHY8b~+5C@O)Icgvs*yjt&AG zku5OCuoLI1%bl}mN4vc@K2b#j35ogcC^iG=)k>yFy1A4$gD)D0XsdLz^ z41LG9XM+8CkUk))o`r-KbutM&IGZQse4K6~wS~)BlYCV(KbMttP!IUG*+^(>i~90% zuV3cz(RKxHm-4^)ojZ4CxZJm3>kqRHXxPC0?)`F#{;xLWHto{U_cqlw)v_D_Dtwml z*{?qP__L3U&!3l%=RW%wk3OIWzxgr${Ose;pQANHm6YV4zx3HhpIv?SD@vihK9qES z`T5I40h#IR_c+0Ce#~DVwuB^+M#?Hl-o5fae_7Q4Uy$})Md-74xy1MNf2?;8K7082 zONu)Ee5l@c59GZnvU%J5q*`myG>v-A`TS*i{!h6*O|yEBy5`|gTdzSDDS4blH5iX+ z&G!rJ71S%>rCy`;6FfNWHM4!vk$y=_7&#EWRkX&MzWnSX=`Qs{mDYRL{pgDSpdCEb z=O6X^oQaHk{iA-bGpS*}(?CyQ_0bLU^Hk=)Z0e$ZPQz%(F2wpP> zZh!MtZqZB4YU2O7Bz~8dShMc8B}obz67*qnoq?~F@lSl_$>nG8zD7uhTIn7h+BXS+nOps z4P8HaqiS#MM}=e@iF%8pDi{kLv{#^wfFJ~&y(%8Pw`t3E#WM&7v|EH00utLeJ^I7l6f_YpB$5f5U_Vdm91j=!aTO(*?0T61Tc{SQCgf}cdg~;*seQiDVUceh z{WxX0r=2s)Z%o^=1`X;;8nzm<8$m@##1Ws`rktR4iVO7STS)V?NIrQv!Wfe9LkzLA z^q|(pXzOqe4#uosjT;LNje%ACMShM;zHZKx+ZcvwdkK$LjM_6=E&UQl)3{yyrZKQ; zu7JgI88H)}aYT>_gswy+&CNE6Zkv;Xmfuj^)Bn+(J2-!&E-+vx|fBf?G z{a3Dk{GIFj_pk52ML&%S(z$;9*8S_Z-nxG4*Vk`7yndUW#wm@4etmWS`j;Ahu+k$*dPRcLC%>Rty>Na1J+9Kb*Y|&Yeg9|IKmIno2AD2Y=!NUIKA@^x zzx6Ix>kaygyz=(yh3l*Lu7COR_0_xASHHf#`WgN0-adHY`oVi#wRf){{F*DsZvhBF z)qCOk;d|HbzI^@g-Rp<x&|am6Z(iTOy1xH9Dn?u+ z`Zphb7ghWD^;=ihZ@rEhNm|tC&FibH>#NsMk@n$(H?JRDT|amorbB3yYWIt-RF*a<@)}|2E8nhCPIx~ zxqjk8bA2KnZ_FZ4Sa{bHi@R+`gzv#GEy0}gDusHhl#rO$1h#q|B&0neO!F{@;XtSOpSSo8}@6})lD|)=3l;aef1&NpZmLc zLw)_uOVLw~f3FOo49KEhK~(=2n;CSapR`}E-+hi( z=Ev<55@l&!eE#jvU!;c6Le*)-yZ|{={p07rMb!Ab%M9;1NwWR) z7bTC*&$(4^G>e6PK94byap_UJ`Z>4lXWU5PGarEe^^!dJ`Sm-`F?YFYn9T?Dgp$yV zi;9ZJ=;z#?*VUq-F`{vK2ea<8cd%5Nmf#k?TPHGk{+{-5vyjn>Voe5F}^lqQm;cl9Uoi&xr%KWS2{l|^0j z!RIfqhD5XPpW-ry`jJK-Q(1l6uA+2V%Wgp<_k271==U$E0^CI}gL%m0#7;svdqaBF z4(W8-jp$!+@B9UN8&95Z=b^F9a}>-Y{Cqq2kWh{JU+|N^XvQG}^?OdyTS< zx~d{spXyt`QGe9id#-M76dbaoRevgYcC*DUyz`2jpx)s-@6(a7dTByX>JwA|1$RpI?LtekA0W6)l z>=$}F-Sg1IzeCIRyS!p?IkrkFVW+S19(KRusCd<|(^t74hJ8Yel#}p0e3d!B>J*`h z`n<|4Uv)}Lk!tlSuYmp*%nY>u7)d}F6v6~VIJWR8g}_H zH{shxS?|E3x$46`07rW)M5*2*uK2Nt5_nUsz<54rnBm7FMo`T^eVGNXS9u2(k?T3; zI?Vh&e@S?cH8Cy{FrKw6VUY^o<9dA`ol0-%B@e6!g|BkOnstrLQM6|MB4XitT)pqh z8-AfA!uPm#-*3y~!G4$f?>*jnzR%;0O@|~JVwBi+_+a59>O(w!9+!-yantzErMfTh zN_b8t!1eu~qQ+3k+nM+Vcjo&IGo-vxH0RpBfQ<&L{)#L7Q+dhnAj|%Ym-Q9b`KMSK zKzm&^6ZB_X?T51eV{y=~^4UXNWuEVeqgE`({7|+N#jWxE&qRp)V-i~+xrh|`_IDwq zV50sAQxpU$;gvs>9Y(k{fB&=QHC6J5vdsv;=I?*jqm6sZWZnHfWl8eg?_NLr5l_}1 z$@c&5clhzkqnFtJacaYoGFJY_VD+J~`Scg5648k3K9JwS>cLhYG~7NX#aszm#6=&- z0}-vB#~wrd*<>ZY4^H`j`?4wWMO@D+ZV%D08SeqN=OKTe|Nc2T7U@5Et`P}aM*ndq z0}30*jFmYsVDdZ--siu6-ldcY@pCmBx>fc*|NZk}p&i%%7+s0!{G6HCiOGsvkfm8kO$KeUaMBP z?5#L?r7`;$VVY<YT-h2o2m^;B$bEvdAeRH9l4C=kw~Pk^0>a; z4rD_fFR@MBX9b>{bM<`xJr5}+GyJ?57*}jF9Olh$d(E-zuLyV7G zg$}Q;e$vRBl4&bvKSR-zJLlt8-^1$%KjDhiMcq`5C4hz}VcyH%b_#sl9>&lTc)*+r zX9vW9{}4Yg>n9D%8g=Z5Yu(bZqm;LHES2?dKK#>R&mQu;gD#dTHvKhbeK+)R+pb<8 z4>;iseLSoqcX6LH9&|2Wh45(rpE&U~8!;Nq`K{)v<7ni)a<-yPa}Zk3HY`g&xkw^d zN&#@{R1PM0`FUmJ;@@3FDf|B-HkRfXRyfMQF>5Qm37`zzyCkb{QLxv)i5mqtdm+bk zrgLy$9Y1jKl5FGUslje9nLf+&EfD!|N022|K8-ZjuszAzSRb4caRlkk*D!3HPk|8& zIGltNPmJ?CBl#8P3b1IP_hq$sR`U$U1-xSwi?LOf07XZ6Wf$5{x+`rCJFoK(T=_7l zYZrjNtT;N_G-a!M6^IPC8&)@LXRaGJhjAmFm$+Q6N{&5Mp^;^GA6+XR3oLk>DTq=i}A8N$vQVtyx zBlL|O!kH2_M)b|5&a^eLh*Wp%AmAX3y_jePp;nNfi;-%|$Nf0xMwnjP)2IVze{8Z_ zMraum1JLQzB-7IvmpHHB{Kob@wr@;KHoAhbQAqh=@w|fj`wsPU42Px%>zo?yL_S>kaO5MD505`QN$K$~&9Vah#61NF z4n8Ipf8Zs4$wSYVU+UomAEamn66Mn}sXhRxvE(zP)D!hs;@IM;@AW=3%MK)wC5bHC zQI`r6w181NeEu~ z@f9H_RG)!-x|~pRXhOI&YaBl?oQZ2>#L^-S%+%EJD`ju$dm`twCDQuJG zZopHBR+xkL8i12*%qW`nSXq{@8WGSkFln+{CRbA9R-;mZscMZcTuas5z;0fsXslMK z2F$iiQtT{_m}Q|?`5_h|mOQOTJM;i)qkVb@J`{U~^xAW%)jfxm-s>*^^^9E%Bt!bH z!3Wn^6zq%J`xD+X*^Ak{2NcdIdd4{RCxg9C^o+IzXgR3J7s|z!?3Q)UF|~4rIEA#0 zAVJIqbNARzoZbeSdex<{?s*(_g({%^dttG&cw}^~FwT^@5DeuR%|W=w&{W2USr(1P zf3DN`8FzJCs~m$~izVwgu}g_3At!byv4zBf>@lr@h&f7bgSORA?o#*7=3=xg)d8+0 z<3TfVst!`SMvS!Q3HbMlO?{75+wBrh4BAiQa+_p%IX12Ky^gX6n;;~IO)>0|<8++b z>3XD1&8Qe+&^JnLbrn&mL*RvHaOLhN&A*mlk=1}6tVH&!Yf@{!!;U(u_6*;LO?c#SO^Gu2w*g$B>JWyp=}r-P@6*l)e{bYJ?%M69oSQ4*sVf=h?A_x;*tv?i*>a z!vmStKzTvH$6qfKj_kNY*eVSUIHD3WLjaJuYp zf)9s7vXQb>eEJLYXpvtoqjB{@UQupu{Q0}KyhzX`Wi*XvnA$Fhb)L(j9Wo&10?$iJ zMvoY%EipRh`NbYNKYcACo<=zXAfMSB4a#JOBSi#;!1>7-M5GQT$dpF3{%L^SiA+)M zLD-H9XrQUq1TX$(0ah1rk(~2nv0M`R9=iaS3Cy1;=fx*KAg-7uM`jt^BLr2)>h&cJ z@Rs>0W!pqa^~n#?$Md(Q*#G;>1Jd@fJ1vq?;a_{gT|NQ4WI#gp1n(w&VA&31)MZ|o zmo+WN6I;+XZOivbOAN=k+z~SAE=t#o3@KQaB)@yEWb;ROv;v{Z)d1Q}jz}uZpG{UZ zJP)$lDBGmT#=R_pdy&rpJ;pGWHp~4J3)0XitKTmX&i~jd+f0**;&8LfUsflyuM+2y0x|J7?L{7w~CXXudp>AMHnZ6k+kq#A!xcIs(f#_a^K zJm9wa-a$U6%_l&eE1Ie>9p&;^5p!rI`;&u=ZkthXdj}olAfrEVRK@{PYhHj*w= zWbt_}1zJ#)1CwTee~_=80utda&Fg1d^ixvAUDNP`gG@m?<;=lUWh_ezTDeDsg$Mb< zLF;UTV}j81=~k47fL4Jy&Ph96lT-GALBF^-{%}Znm5d`a+a{xIbi*RC^nD=NG8DBx zLbB~m9jPy(li=W=GFyV8YujKPl6wSa+siHD)@8Jr7BI{_5kONuRh7g0&qL z?hqG=XDfCZcA5nWm{^9V_D9gR{guY(g=jbDZGeLv*Hm!R!@QFgO8ZDhbH)H*+MIDR zM714aaBu1q7#6Tx<_ZH(+wx3Tu&Rf7gEp^#_`>alGdX-PL92qHswvZpzpJq2R4kRM zo+o)1GGz&mCeqobz%L=y3s@G58Yoy@kkbam?=s%V#*Aw5Ka3YQTklCmY!pcW=OPtx zpI)#(Cm(dCK=QO~KkyyjnrIF%N2a-cPZ#xLn!>Fd2#XA;Qy@xkDF8?_xB|}d238Ld zNoRSviK@JWdys2+uEP;GYYy|GkOsQCmwRUHTl6fTuI#`KL)-K;Pk>W$AR27z0+_3$ zalwILicm!Ckd^7A;>Rf?l!k#j@q>w@O*rFuOgmx&MU)|Mn{6V#1Mw|5-!1ZI4L%>m z5k36E!in!YB#vl4prvy}gBqs?rphV@!W#{_V>!f3w7}RU6~bJw(dz~WE()-J7bgX6 zz`i*NLq`LC7b65kvuGY~_PTu!HA@QB!#Mq3W*pF`*GlSNTAp*`oE?Oz1ZZ5eN_cDm zZO%b+@(kg3`km9ot6;~A3C;0v5}52_zlFw_!e6l-W?~;zOm7rIN=FbPhiybUL(RhN zTwqj2Gl}ypfuib}j;fktEYcYGLft?&=>7$Vgp4V1(+=0jB8B#rMw>0Q2Y6a>UF6%C zrqe~FpiTOfjc^haBXTMO*twxIaVNF~YaNok*S&IOG^Y8I1gZRjDnW9q?U>fYh7}Ef zqr}5CM%n$h%D3A*&ktJY`ZVk+v9# zAdul?qy*|gy_v#%T|hflH2WD%*0pJXX%WC~V+$udAgC3C#?MmR{opEukDy$Va7}L# zu<->W3+`eLwJ=SVI(&OF<`;bmxK2_*a$GZX%?b6!|L_NQ?zGof=P;7rGh(*U9Ole6 zrzB>|_x1ABm?lNFV&Rp)$*nXi^UA+00$eykEd-D zZW0lU^4qwvj10AkcI#53p5)`prmBHw1ig^DcGv~)#U@Zh+hh($hz;DE%DjpU=2j6$ z=q5%SgQUZYF#)5)bFeyxJ>JDN-u{3-lencwNFE+`l z$dihzBv*+X!JXZxcW~$|K*r|KGr*?GpcZG`&`?!Mh5vO8j(l3DgXXm(l9Z|V!GN3t z;hd@MqP+}oD6x*323AqBjT6S^Np|e3(t0`}NDt|)5&Rx1KwZfAByq;Hfr}f1cv0qU z?@6$sHm)?+F9LfV4o1@(a2MMFDuf75;E$ps2t>Zab%YUiL7gqXp}64n)$7IM4JZ8q zY&8GoEEimC%l9xF4}vLs?QDBmXXoWSDUVISg@K5o(<#lC1#SK@ZHGQ-4<`GoF=Ug_ zv#CPy90nQVIrB^%lX4Dk;CTW-aBXJzlo+8iNuWi9J|7xaSH-6>t%+nv1($JD4|=fu zrabep<%6W{sWq)aMJ*PxSnRH%YU~4^{Q`FIB$SCua-YUDK}&8uh_e4!JKpm+yWpBP ztL;W=p)447V$W6E9b*6>q-N+%bEp^IdmCrVI?1?}0KS~+n;GE9qZI&;RZUg%!>09e zOMkGCMoW8!+gIR6t2RKqj_&)K}9%V7Q#cO1y`}y;XI62xeQT)Iuc3W=au<1 zxDSu|4nPsnaBv!{0g|CArbRjjAQYB42gR0U$T||B!>pzck8zAaEbv9T$I1agp9_w& zw#8s)%}A?N;~b@Uz|hcEXyOs@D$;0?^Mj)%9gmu03bCz)UdH;3a6#PH=t?D7iy$vn}&y@QV&O!6IKqu88*?JL<|LL zWjP*hNocR}{0XUnqzXiEmm{&JCB*kJrVm&OgsBBI^AvX*na;u1Rz@2U)?$DLnm+D? z2!&_Io=)!!_VzPyU1Y-e!Eq>IKmz)dW?q~EBUdUN zPE3P#eNu4Uz(*Wf63eLhcy6YF7>m8 zvwg%R4_!#jh-Ry51N9%hg6uRDlMsS3M}EknOO}@7CZ*2{8%nY5Gw={GD5?;{N;fq} z=K&0bwk_%=mu24^aSalLek>|rn{|na!#jLrNlQJ1z}uTw3{}yz(cuxEU_x=XPFT>5 zi#bc0K=5vf+9AWS0BXnQN`_c`0MZ~KcQjdXrxZ>MJ`5(&gvX2aThflJYDpZRBTB_$ zJHs{)&>lb``LH;E)ovdorKRk$B@6-+d-M&-00bE`V7D3=q=6+68!gx-Y)EOo0d2m$ zo`xZTgSe~jPU=B$vrhEYUa4eo6j=IaT zB?l~M8?>$-1R4&geKxb2sOt;aT1hhNm@0MyRTDoCeG)-5>4_q=w^A3yEoa z;K0#xzNxW@hLgl8X=4dc>aq0?>TJnVIZ8R+}(iq<0yt^yfrrbcu(H8L*q$ch#OK{-@{T3*7 zO9m7}a*J)gRC*VzhBE|5>uoX;md9y5@EoM2$#kqgU?k>)_Cyln&~K*GUdW**BjDR2 zOQt@YN75nTI8w|pos0e@7se#+1OE|8xi#w?bu8k4Ffvc$zzmXa^T}Q0pZQd&$ z=9wsdP?YVksU=kuqTr^Eaf1^c)-ixl#heWwO9VlP5yuAT0)TOMR6Q(>*s9b6`bJ|T zNMa>*9Sw@kfrf(ccsC#f+OQkKVK+Rjt1H}PGA&tKrRlVSGR~M01si}pQzw9E*V7!! zL$Doy{{!<#RmVWpaRN99()n`e(ZDyP8d@CYDV!YZDykocWMzNxWj==x`ATwskm}sD6wW9pOZXPkn2WMKV4{D@nfh0+NaXsmebj&XDB>iJ-K`47P-( zJq|3YDr!CgM<^!Z0@ziPET&y4t&?TK+d6TOG9gY<1GG0{+|Q^;jM1kK``qUHg=GT- zMSucxVlc2P`4S{1%`q4o5=!Va=ZG!1n43LAoZV=jrNm)|zx2wU z%$i5(1in{dvHwA(spqj3VRXiDq3w{Cusz?0{(FVc-{ExB>mqBhq$Y5$mD7a zK(UBroFlx+9w00+tl;on@P#8p)h;Bw46Hg54j4&VvO464O*kny(Ts0+5K2bEIFtg) z)@*Jo#4qB5O~8Wdfcx9*IVeh#g2a_#4lQ($parmE$adf=p3!#02%OLo_SK42cM|jv zBW6Xyp}wfI^`1}W`3x{?!bM2*>Hc>H`?lG70qfe+rMQG%t~>k=Zp;RuC!L8^F-P(_Eo z)xk|eIs`MB5Nn3m#TR0Tlx0Z34}`45nc=trI2YO`(d8xM4mDqycG#osKxg)GN1Xw+ zTZiQ=Z^;TjYB-=ocQ|=&dnfQ+y|O$oGTet}G@sOo(FX1(q+Q0uCZPyI7AcOk=W+8v zPUL#shNFX!)VbX%s&pE=o<3xdn6;4@_J<8@?uQW&F3MC4H)@Vu5nC=~F7`)T;NH#j&u>o?akRcpT@-C)vd_t#Wc#~dyO zOs2Dd=aJdaG+eVw?+p7Z;Kk6(0Fw$SjqB=R9=ZoLaJw3K=5VzHyjpIlg69moH;~ox zRq7Br!=4Rfb$kVqmSYZEC${7ZWI2Lomy|LjXQ%{!>e?2A<nbs3l=0E#~ckb{7*(PSw zA?5sH?DEkA^;5aSbnlx7o8(zIyU8z-b0!Xn4f!Q}9*X4C*FJeUVY7Ltpzvb&^tBk_ z#bEM%G##lEq$-8hCr$@N!AyUG0rwjaS@?zp27YQrG8mYsrVy3 z7^TaEor^A#YAt=GKPC@}uNfYZUNYN*MnAo-($f&s)n0YcWLOP&G{6r=+(Y6FkM{6Y zDv~W}U^i6(PC8v*Pzhz0aE+6LN{niVI{5!DdGGToOSYwl-F~mt(1DD>9(fif=&pO| zs`D~_N0gBIxs zLVtiU7!0-t) zi{-d2KS=VTAXapk1sWYq5=RnGzeSe&llwCQ_0_tlqzAUTd~MR*kUEmIbobCWEHGbjsX3>Sey5Own`Jajx8oH0zx;vv*Z|R;N@V z(2xJE?W5>sFg`EQ4TUNX3TH~wcQ5o%TQFn}2Zd_!0j>0_5)>u=g3cLdj=>R8k}a#^ zfNizup@E4kulwD0JN);E9m!4nqG%N}GVk9i-BZzErgEjPG_OV`qv77;_+|;y+i`rQ zuAeFC3*C9c6y>(Pv9Yj^K4aKzU8EeU%)`d=bs^4k(p!S-uJ`PwqcrM1?eZ>Q1ys)zS{fga(+V}p)@6R*SaIcU0$A4rkBC1y$vmgGJ zZkfUJi^RM;`Y+3wds3SKQP|ohBSkmvmqx0;Bk0{hcCQ+JuOsi)=?J3Afa^p-S$15w+0>p z`UF({PW@)(BIHuBy^`xL$J=u58|H!gR$lkYIVN}ey;>Blo;|d!*XG8!j-LCWX$7JC z1jl4F?cKKw1L&Tw=qO$MGuFag%AYFV?Z_stiFV$%%u#ul6+yC$+N_^6y`g?{GNnIN zrY&a7K`a7M0QRyzD~I%)nB@lSA8f@K0jB!>v^}AaH8>cW4I7`^XB^a)iQktL={L?#UMa^N?*= zXQM58w}TylbOM!CUY7;Ij=Yz6>cZSPFZ+(V)KtD7zqbP3ryZ8SkN>EjOzO7_ncnNe zw-3u*Nw*ruwfj`#JX-CDuBP~0c6T1$VafB-)ZI+(O&md2d%LUyblO&z)EO*@mO7YU zE`@)#xcBRK1TX71-?d*d3BE*FfAPNYn8Lj9Z@VTFPbaObIJQ6LpirLexYpHe0TNr+QDByGt;p_au z|Hw~1dj4B^hQc#=ooDcNegez+uy~!{;_dwCL$LTvA7*c9?|=G>ckgJ4OOE=LDoet# z&~N>_URSHL@d9+;?@u4bSR^M;A98oc*xN=4XwT`pXHPz4wL$FePu_tKjCA$K^mEpy z;+YPUts%f{*!D+NdHmeVa*Um6KMC!3P9EXoOC=IiaT1#Ej-GsZp*i*v(}1Q`E8Q{+ zsV(i~@q<6*QmL&Xi$_nsxv=0DP9DtbEcI5k$ASdPlP@m>_B+R4BoFD7Xr-6Ew?2Qj z^2}G#Cqlw+95gqc7B9*gKP0F;`R-DM`HDR;qagZJttvL;<9D4WUtfsEZ=F1w3$|8I zswU0Bldmp<$u~|O&g)sBOU?{{)Nb7fVdF`eOJ(yStZ~+VTMdOyF$Hl&SR`<0Jt=eH zFfZb~|NVFG>dmHDF)4Gm@i`L-KWkjz8Jt(N!(W4&yZhdRuYS0Az%MnnNMgi51t6v{ zA?*neT=&h2*eD%iCrXF$mZ?`Nck}7j*uILU?wLB++ko{Ms()Q#Ba2+SW_Y?!{O##@ z@afk?Sy?hP3tP0q$k_}t!!6a3X?N9@U=&OrSFF$_%Vp6q{^#xda>h~j6_c$s+(awr z=#aK|nU$=GR5tgLw zQSXl6PJt`V-f!UOGdA^DGsODSpF<#b{ne*mcQr#IJgOn<9x~={W*2z)Ar=zXHfI_d z|D-)8Jvdx2l7jHf3?(lB<1>zQfZi~e%GDhfyOe?8rGYupWr;5(dV&$5{EVrwRYOew zw^kN0BJ`@VPyY=^@qn{(S_kM^1!MOU*EnsH|4Xz^7!wxgsG3cGKo=8(i^%HyQ)18P zFOG9>!s;`kCLVsqMIc?G+*Pryx0UwHV!+2kS1<%+&;8@g{8J(blwawO$4|dr3)+&q zEfrU~mJTOM7{1izJFGjwyLk)ej1jux1yq*|2JCr(tDrKGEkDHiuuFt7?@S%>cCm90 zKj;bis9+6hddxSi#QU(fxB+32>q3lkQGul2l3vQ z(2}Jfpa~9_jO80E@ICyXsh|G5l9621hogiIcmyvg%rLHMGk$O68F*1(rlZCN+%mg3 zk!W}&M>vVPk)x5SH*@ua9*)i=GBlLyxD0ra%B zUJb~ZpXZt~-%5$?w(Mo5j6e*e$<^Z^mRYO?~+E>zcFaa#G?mUCU&$ zr)9YKGR`@HB3iY=nL};y)1Pl~Udo)`5>1TY9KJi^&(I2dogr)s{4n$eN+dJ?V8cAr zg?BjP0NxT`pu|!3B@BHJKQ=UR%^W}IzeCM9U4tDtOm)WVyv`|L(w>c47ECT!(iZD6 zZ`zYam)egfi~O_v{>Crgy#ww3K1{|1Fu)>U3_!R7;gjc{09eu_WJm3^2}I8guymaH zNn&v@2E^Baj+hvta1{h!jdB6Sa0Nyc%1@FeS!{qV1Y9f}s~f`1CDMq2-U9gQB}pDd z&IFBYF;HA1H& zZJ`9$!WG0)qU`1w5irKa_+x7rq$)rWlFdkjOAH2hlx2QufG{jJ^C+CcCXDf8nvfOr z8Ev{w2vJ*<`ay0HF$NIf*E;>gCJ?kY4*Wc`@E8MF?m+mcBwn3C$wQepo!8vD-~l%3wz%^7`5e_CxGx49YVM zgZ4KuIbL2vU&N+`e)Urq&l?uswvqgbx0|`!?&_1P%4L6e@$*YN{*B*%_YT!U|0ND3 z(?!~=G3*jFX9|1MVL+paHsU znoSx7Q)&A9^6}F@YzTW}AYq{5XB2@fc-Y=yNd2wsS4{G#4oiW*!+9>S#?(uQeWj=7E7e*A?&4ul{_YduW~P>m6Z0EvWmx>5IqqR6OpX++Nf@v98hn-vC>| zkmPE>T+q$xySMPXqPS%W1(|3{P^OvI)~*Vnh-63edR zV4(4B@zk~T(`})9qHF}zhA?CdArl-*N}~H`=Ea~kelwBZRP~qF_wQgWX|D{zE z{MH&2dasY!6JKkp=i03bX!FHw0h8XL9pf^+dsj0q$~c z!?yn7`eT7~F2P?DSm(>x-;}^Y+3@{utD0wBmUsF*`Acc%PY@*a3~pwRO}71QRhoI4 z$s<>J1j&lWL37-51TdUAJfklD62V{5;#qT&EbYl36P=51`DlOvpgEu zcWP&{pgK$wd_@F}PO!!SWN_X9)HJ0*%Jn9h4`C2;KH8j5H7t-)?fM(>hABfw0MYKfEon?yDlNNRQqiUTX zzv(t=$wq&iRUj8igvGOc7X~+dcj$4f(8A;;0Q!Ybi+ZI6j}e;50p^qQPk+azsq5;# zVNwt#s_UB#FZ_oa*YWk0cPIwl72`X348TFumas9Fik>qZD8fvseSxEMuL^;omBikz z{Vo3B1i_3!sdlvEU~07OHMt~Ub9spv$-ki!yVHbQbUIXx;)clNIK=Ndz&7NQd!+;} zH#F2x4z3AzXK3OgxFJ=AWLYT~&?uxSr4@4D{OinKRoLm}P;o<$&Kx(z&f`)9m zZD{`Abl$x)PD=#Xz1*lDbhpD|p_1Bp=1oFy%|?e9!4!^7Z}=Z9mKbr^pcb_KQuY{P zhBnM*TfuHv^D$ zT~#uV5O%k3#b#5cyCu)ARC?;c45GS^y70Pv?Y`ILvOY;hW>`bCpiP^Y$TIpCI#MeJ z75kC^DeA}-YtgAkuFr~Dj|=W{r-nk`Ht3{Ryal$B^J4jlPC;N>=_f+(-XANuJT~2B zp%kmfdf%(cN`LGHa^CU}nQr&nD3B)rI>}U$%}4gbn+l|7>Hxu+8kw)?Kw2HqBrWYFPV*Hr%tLU?zd2q`buT?uvlS3dR-&j3e2xWDZf`K7kvFk~Z{b{|ef znCTxRRR-7mxN!aOTO6?+lNTrpfvK@pm{I!MFvdAruEq1}Yk^2K`Lyn~Sl${h4L+Qk z4xO`~NzrjX*_M+bEY`KnLyl97DF(ic(>rN~?$(%%H8$!fN!f5J^wp=o_vugTmxhz| z^$agTZFX2czbUh_bgWD=`#`bdtszHqUuk{K+V=wX-W&J(WaPc?8$M-F_m$)3ZY$nA zhOuej+s81mnQA|HTP7)o0)`{yaCmhL?QYyM>BHol;l=}-*&-F(HoRI%9spCD(JT*| ziFLfnm=<(>8(P}-eBK$F8-FY9FxebYbW;|q4x<^#Xo{}!xzUuWy~kSfeGd)o=&JL| za+wPdeT##$;VI8eufcxG93$Tb*<02ttB<65u`I9=Q$xKw(0lH^CprO^a+NQ0R$6J& zD}3!*yX9^rp=qP>ID!&gVZOe-jls7}QowYbc1q#2W@1aU(~rC%iOSc|9s~Quq9n1J3c>{>l9-J^5TLq#&6}dNHm?QlFu@QrM$%vRj%4tukYPA}RG0Qwt z+M=l`IFViAMVYhI>l5Q+Y%zjgqbzeEq>F&uB4$%^1bf}x>+@AnGy>d`1@r&p&@U4Q zYn}rz7L#P|xtBzVmj+B1l!0OBY++?$GC@&1$rB2F-3F3{;hexGN<))b2s>`z=;iWc zR?wxSFpo3HkR{T1sAsy=u(cPKi`*Y%$7wIUVT3esECQfFGAIu5TJ5B0#MYA@p zz^?2)&Y;T^{=luvGYq%YrIR;x-7TT}x|5s5e`zWBSSW?jld0J(Fb8?uh@R%9F^6@l zmQ18^cgOIfIfHP{AiH7^+|Hd}$$i|9>dJM?d*~SSGp0RNXE$U-7jQd-BoCGWH2$tnQCwHscaR zgLMxDf`kXPl9#6n)amUo=5y*H%e0*Vpj+aSpNdXLPYKC%>SZ%$Uor~9dO5o3F zqq)njt==};>=>6h6a+J3Y;I7>T_&^`Vy4WV1l#x6)~=+^`!F0#=QZp!@l}1>;{2D9 zfSD|%@Hd3v7QgcYFNyKJhEC3*IWlqFX&ju{yolz+>4ew}j(;-`gLp>6oY^l`7~T>m zbK;0eP8bQKyfmND`nSTSbK1;y)?^C{WedBz2@yl%)eYeP>jfN>y)+!#|MDWf>hpX~ z7tgYEzO3Xf1~R$8T~N#Y2-T&QOx2U=ajS-e{+tvw!dA7f9d$EV_u*u(fSog?VyaC^ z5-&H*v)0|yNaSSV%idcL@_+dV7$7Qz?TL;a#_^^0%$_yr->Yd5&1oV=T(vFzL5h9x zqV5~UbFy?!mdJqz+9NX>ez>#EgvpFSuz0Cn|91MNbJFmpnfKJ4Fq>0J#HiAJdqZ=x zzx=O%#lEGF5345LKyI{e^P5T-lY_KP6H&6 zte+-5=83ti8~kplqBLf@jeJ5C4pd?bN{;us+qv&0!zd^+xh+{tD58;qpJv{kPP481 zKC+TAtjUw`l7S-jY8mM;rn+1ULvNk;fvF+#{Uk#@6AFJZB?-Jzos8Scd+9y&aF{0SuVhN(4@8l%+%H2PNiA7s z34BX1>tRU-yZZDOwzF8rg7-s)B(NmOl*IR%UYu8D+*45ayafx>DaF{ok-es__olN% zs3>08@}VuC4dv|&#wy$Db|eYo1w-7kDaqKu@|K%STaKv`#4)4xg(9+(e(YaP>eL%A zSKeo46oVv92b$Q@_};o+%M>=_Sm2l}nAp_L$O!+#yquB*BZ(Q3oob3b(Xvc)I3Xh@ zZ8ubjr3$@u!Az-ZdghpU8SqA@?GI+s>x_P+t8$zCLL+SZ1j$we%_=W1BSCc6%Q2$~vA>`nTO4c_+PGnnp3{ZWx3VGBIS||IWL2Fm(1_Wv*Gd^Lqpx zCc;5eSI=~x>g2w$pyy4@2N{p?rKMh~in0FqJMuCo9I}iS%-P6KeUH(ka-+$oEc~50 zvG<+Aitqw(ikN~PE9Bf1d_<+UMB-rN#AjiT<3*lU@p;1Zvp82!KR@uj$e|NJzb;(W zsAXZwVU6%^X;)WUP*+=Ch4YSE+_M!iYZg)}FpkuvI=7&d8*_dZdi(yQ3TSOoPLfD2 z)lTv&E=)1UH_g#4o#=|AE~eiU)tc!lh3DnNMtwK^+rAS~Y!?SJAqd*>d+BM@-+XD| zPXvp@X)#DtaJ=miqqc25O_&v)yZCc;;D-gZrKhd?D|hP{-)lNC5klJa@y0h?1G z+mi3wn>XK2AFx5FRW0v^4RHv4Gg18@en@#iA`?eaAE#dKKjh99eZuIP`iM#58-*&1 zvxjJ5v>f>$M8QtH#+XF@Q5^>759U7#9Z+z~4GIJP z$(@U53I4`;W4}&VFp=MK=ZF)bJ(o|)l){mNQZc^^@lPy8BS*Z7SP?mgIm<|GES&_7 z_1a_slE&m6OR0q^fa!9Ugp{^K#LrWy!4Nq0o*sDzk-=vP@{iMtAPzl0i!D|f+QN@Q zei{1%wi0bBFq-OR`(>v1mAawq(FH=Y*N2|B$ zmu5E&J#mp3wI0T;^Ci$Mi$ID8Ok~j1gUa_L_g1}rQll;!=BaP9#QUMpgaeIHm5y?A zc+vL=$7za3Qal=pXI51pE<N|P zy%73~31w{FBGk6}^rvHkqA<*C@_9cuH2w`uDI1Z|`vOre^VFnjA83LJO=gB4ySjJ= z8YP}OMV!XG1D%kCv$G!On`R8-dwYc!BvC>Wa6%Bxw6Z}t7?hTjkH}I!SeWwhmHyH0 zv>xmbj{hQxB1_>LiqvBmYFmG_A`KHDuro5HLS-m|YYK6+Wl~t;I!UuxM+*JJQkXf6 zWj0XA=9$iBL0}ckRATH0>CAMdCTmYL)1Cvii}ElMVXIAW)cO+&f21%l^j=q&37N%l;0a8`K$9{Z^OGJ_ z$t3|ZpaYB+HJTp~LF_`24HV`8ZSDW4DJW%+oA)v9C&s!(tX!~aE= z!mMFz+jb8#-7Ap~uEDklgGIR#03eCfJxEGaZFTE+aq97tQNjgl^ z{n=nW9S*u7*p>^GdvAPxMSwV6ETV_#?F3<($NmGO+vvbjZ%}2rfcXXm?Co6qEX}eR z58scYbrl9QhC^;oK7O(KQdRx<6aS` z7uNY1Mi&b%SP&{I158lRgp6YNKK%pb)}?y>^!<{~7)P3j;QB{yl20ijZ|^?R&9Io+ zv{KUYriWC>lC+&AWI>C!|ID4xgH&HD$y?FvC^weQ>>Kjn&6r_^hO*lyZXfOD~jS;B!BGr3)Nc8LxLUNqlnpv zbVBi;{ocEG`dG9~dXH(wNFHK|8VC&#F3;YnDX9DN*8v$vF=GaSL5uRB*Yul$+R|w8 zEyN0nzjarANqmQfFbgeuN$*=1Egl=SLc4dJ05#A+b~mco71U#<5L-zuh+F(Eqqo%} z94c8PQU0ylVq`VfIR16pQllX_Sa-UqHNpEemlGKA(tSU`s7OSLfHw9Fz1&K_;B>sI zSM{{}FSXOCjfdKyruyGvTnuG?l&9E6s&zLIj-2f zmPnMFntsIvXX=CX;E%nUg+6+9%X~s>jha+P4B-{sdinT%+aPYTF84B`z);bjRYg>Y zuT3=xs#y%xg!ux^TG4fKTQnsxT%n2(GKx=70>FLMqRzP5LTp)?P?lyDRrM3vwAL## zRw*xL#>%1~`qstFSZizr#Dl4cA=EcT-AhXjdO*eD=8Iulb61A3wP$=n;9k(jSQY9; zRjg2|%1~84PKzjw8O`%V|9y0y7EBv-!cHdH?bJ8m6!iG_@~e8r8el;CS zlR9Efh*$ZE0KhilQZQicL~k+c`AYVUt6DSp@FBimQ)QmlHBLTykwJSMW8=KePQK6@*LsQZENVUv&FkR+{fbzFwl;1XV{LvMhv+=DDlj~D zl$dG?iy7mDt?5{|>Uv(#Tec_aaVhrE1Q*RNVd+8vCLb47nuqMes-S@@gM{q|3%KFN zPmG7E?q(Z@i5FvvFjW$y){m|#!kjSmaFg(ddZLVD^$`QWs9G-D6E-OEDK~?~Dcs!7 zirMPLhB&WloaA)yT3mLdC`a$@i*==rtgF>b1=4kAmn+OAS~8mW>O{}3YP#%wypUO3 z+7&I*Z_RGxGSUP`@k&oxRiRP#wiGiD{dGMrq7iOVQYp(N`>)(_w0`l6ckcu z09ia|V$S=E(+jGP-S5KVLej%(%coRc!-W(2P0>9=L&T2#;4}1+jlz1{GpVR&Ix7apWz$#fi7_h| zt4vT((_P^wtaQbwT$c&+s#XyUiQa5+=rLYb3$&BI##}Ig_a-nuk!Xf&fijN;6aN&4 zc_hC~Bu>{Mv=1cWZV?)A0)~I0*ZDA5=|)I~0PJHsPBI{XW{aXji2jZt(L&Gb=NSci3k>bV^OgZiA^0~k~Nm8ie!3}9PEo&S& zFlt3>u(8?;c|eHq8*+bEm)szczL5jwLY=`1Hf@?yhu3XRy(NwyRo0U>C%K^w=Cs*d z(DL%U6k_xOxnE&#i(UG~j(XInm@zEmI3UqV8uXXMcZW>vn9@728sf<&&5u80%w z2~(i%`EnV)B)Hr`oAC1)aeCcp(THq%5j)9}&_WN)i1R72@kQvE<-M!NdU1{?(w&C% z-x^+BWreA32ctlb7lK817LWq$6^X@b!9--c<`xq6sgPGvu}OZ66K<=p;fSTn?;`9S zW8@sebUyuepZ=oK&(>l^k!S%Wo^J%bsLrQiTXE;Y8dNm(Oo`ab81TyDa(mQFH6ky% z{4(Hr7U(%by@|=vNRXheyh?NFQy7snB7QHFL#CWqHfS>6S~cOsmTFx~kvNBr%3%3J zuNnBis?k|b%%o8nL^U}=lGynVf5)P>8o#CQu!nl~qOc+?R;iAylhRpe4_P~fKU$RF) zY2r6A-@L>8foX@?3VLzz^MtSQQS^{3I0q4^_o<-XTquTz zV*R#L25U{c5OH(7;eq|x`L6%;>!n^{GDGdS$6%v)ad9SKI@5k&4G4XjvCI6Cp8MF~ zvUR7?ldo<4oC0w$(obpz-4erEA20oGWSDWhmWR*on8@qjwTpINbPTpN$*0<5T`^$^ zHkd{%cmls~iCL*zlYA8RW3jHeE3|xy(4}5==q|#PGRXn~Q(8}SYbsnOIp`}i|Kvaa zTmR(0{Eyu~;wFvHpG+XOq){>nJbyZE{u-^S&P>td**oSVG&yZa1*`fellrfbLicaK zb8SCyU+ge=LdyICyxlb!I|N$EG7JdRvt~fm9fmvAKVy|mKDrQwKb0_gjqs?Ro^HEa zavuH^s^lk8r9X)(`$<&!YgEH$FHvJ#|2fqDTc}%k!RYRD2!1w)@aJ*(eR_s8>O|dY z+Y^(QS66KZV+0$^n1+gp7)s;wHt1b8xY9l@m`HgnFH1uBuYO$+AfFc#P^V!aU~k@T zvC)6y1)_9$ap+(H?KEAVy=DECdWJ3YRlip5AG$R!!w3^~#9GAWe-wjh+4Ht)Q_`;} zY}QaS@`Z!7G*sKt=k)9fB9wmeHYMLYzVRZMfVBN{2g_$D3xj1t!?eJT%1xp+DML(Y zM&vtKH6vrmfQ+vTccbkM9l954Ak=T$poN!2&Vp_yD-Hb*)}<$K*DMIz__=^Y>-up` z?GPtGMN^KKApApG15G1!uzZF}dFmfDG`|ts)ilzZ7>mc$;yI(czIZU!mfvQb!Lvadx z-W!gDyn+{Ku}(?;$`bu-uJ@Vy>q$nHRYttE;6)%tep!fMs>c~?5VgE#^+b$W_gL!n z)^u|2nH#-TQ!9FzdzzVjnPIZt7eD+7u}2GU5H&KvU|PNhwu%7KrIpqn^*M+VC=xr`0!;!GM06Fxqk;WgkoS zUyBY7jo>S}*aVf#8ffl0V-k6b*Kd2>Y7d0VTDjGyKgI0RkLXHc6SPW7)dVGm7DMF& znv~W8-k$>-(0*gn;1i40OxV4$v zM+rso)&=o`@!?4ucc}gL11#Rvo+#;pW$ymU1wV(NBS9ippK^-w-u|%CCyLb6$K6>H z>u60p3f|Ffd2huOmLBYv6)}8@uA^kI=~~scORa^cpYY|%@MOx#z2feIC4%knila}H z?LJ4j{gKx+M;aeqn6}V!8e+S2#87Vt=VZ9AR9|AjmTTc08P2dmFTDMh4z}3Il{zaU zZN%3c%Xr1qUTRg`VHivrKU(ibRGLUQtBPh_XothTh~$mN@Kn5BONcj`fHtG+euPA?osFu%_Z(+x+(+sl5t#cUSr z#agh__`oNeQI-JLx|5e2EVbj+Aicy_;+1UjIm0#QF=)8bqU81>c>xBQ74IM2_x=9E zbg5c_J$7YFk( z4Ch_3G%57#M_97@h+~C#q_Cq4=*jI@_Dg5W>tw!DV9&%xz@#}fwj1o7orS;ZTe*5U zomYEraJ6O!GHTmCtH9U_Pj`NmvHs9w!|Xo+U4KomQ_J-SHI#cA{Kf8Hx@&2p?hk z?atuXLiZ5pC+w{zn83BSSJ0>`ke`ZjiQOEHs9auG(O1GD77WA?6g-Q(=RUdyOlNq| z!8zNVm^u`D%txNLgy$Wev#3FgQVXbIrOyrl@f$`e+guJt*=D_`WlmSvk|meEWwQyG%%CTgSGpY+hcIVDc#XZSk+~J zSPH-w*1B3-)KuepyOd`y4k<_U8t1I5u_0qy`rsWlE4lV%nhq)n5@O@qKAx~1pz4Bg znz%4Rn&JxF@fL`-U#$!d4%Mnkf23yz_6N^5S1}r`6g<|YUR^cBM1q;YdIbQzj+UC)4k#{eei?ImAUtCblUV!=UkdF-3B;ZDcT4IL~* zD>i-)FYq+4IpQ|8!~UV$`xA&1*9GVA%Oyhd-MFo2yyrFZM|ILWkUu z+rX^~cbj3SE?Ow}pTRz5ErA{011~wdDHP#n8e<%PU#@O8xZ@ncHmtXWyyU%J#dp{P zV5e|Lq)V1{6kO3o>s9Zp*-OSHi`n3;Ww_sbZV(cD@3}bABZ9I%Lt}^eu&#LuVf*b5 z$6W(8L^5Tpp_zInTdYZ%K23|5+K&wEKp;j5Op1OzBqML3BWvhQJ@(-zTE4UzF@=jG zElOdV-?Ej&e}-=^FP&mnQvr3&Ip`kyqbqoRGl35(uR;9)k`)^)JuBpmwC6%27L|=3CgOMfQb24K}_QcoY zKTGcQb2)j)VrA0wH4(be4bOb!$(Ij?7V=(wE*KM=7AJYry5RfTVBBklK{7IAgh=YO z-}UOWzv9TrL_|VCLba@hA(`ZK99h98_RTC+t5rd55ewsJ-~^gi#%2Iyk8gNi+Kpu; z$tyWHEzS4(q}O-)@w6)>f!1WY-*ELWt>+zx8i<8bITjZUE zHO|++@;mR|oeDaVD*{BF7_hWFgEco;o&=3LL5VRan9iE3WjyY z@)TS5%>c2w#{}zF`!m|KCIQN(izP$h{fC^<XV|q1+->wU^}#gOKhuEWZ&m zg-)k0k}aPsS+UnQa!gBR%PmXBjLYO}p|~8(gq{@k6@jZBd~aFM3g*S=Rvl4#K(f6m zU6|6VS}%KXkiA#VPnI?N&G*bcJBT}$oroL9%MLT^fv%EGSI=0+w$xwwO}Ua?T&wtO zOHVTYgLm!G%5%m&EIRVVM*t^TIvib796@Tw=e zWNtOoKNwh@@>Jaz@EMzwaDA@Sfe&zB3wG=3?A2;-yhifG1VHBDK!u&GJgI)Kwf!V` zg%1XHQ?pNkVa#Lze>=%MzL1v)Dr=GgN zkTyzQEUSzwx}@2}0-KSUMm`qRjBM5q(Sk+FDdUzRizUn5mj!rW>UZ%8Ni8lFq{>OzOJcW$9Jp_Lam&XD+Ct#6z3>a73%^`B`BF9}nC%esq@Jd8 z-z3-D!=kU7aSV>kY*4(wZ|V38MHO?+XK7vq>q-@6`{IJSOc8%%0~TPj^lZ8gyXh>; z8kX6-3$ORD``jRuujtWx1TVvk0xpUEd#B%MTu^q-!oKx};21j$3?uO&pKto@WP;>m z@42*bc%tF+=>}T*T_z9<8*5t}YKgvpIoO(rf}15RD|%oN_!l17PXB!H6UIg;{=otd z%$dMKw*<_IB`M?vCy2}%(j!p{PH8YPMGOyH%x zNDX3M1BHH;&__9mBA6yY?DGmU^1~qWjkh6I8fr|?!Sq;;(+G8?i!kA3PY|P+2ok5p ztR*O8yZe&nUmB83QH7KpVNXHgzHf6s(<^D6AL?^?!@v>uTjy!xqWVMP+r z!5jz@*pj9+8<~sZVc{5D=u#8z3Qb7x6$2ci2j8hASs{JHR(o9y0V~M^y|1%}80HP1 z%V24ZZvONL56B!6r(g~vfx(Ft)(12xjHK_y56s^25IVy?WjqT!3}7+9KK zY#i@%9%2Jw)$UYZ5kRctbq>Db7ZJWNu`f6^=-f|1!Uy&fzA@X&u7{<2=2rpBFXSsG zSKwOfM0m;mK}@IcA#j#Zz;;Es(G{_H=+Tlv>V>IH7Wc_*&%7*<`sfS4ct{9?gpNUv zG1Dl0j3iMAzFHXhJqG0zT$U?7Uaxv=E6|!H{h`I`5SKmJqC>h4KIg9`HO@h`Eo>MV zBZS=a1#7ObNuVb0>Yli(H`HAQUel89`{sk&SG94yxndd&Pn}B>3vqdy_rx)O#&uTI zeZT(Trolt<2lmy+J-SRBvzPiX8=^nBsw*5GW!Ek?8p$;~sVt4=mCegaZ7(%KZua^7 zypf%2#x`5b*-lFe(-?E`54cI=oTE2|W`I~DjffWb>Z-03z2J)H#kKs&b!XXPrlZn_ z><{e8cfj`C^5~V03Lb(#aQ^MLLkk*szLbc8o*z2F2pY&2#l#6`_z9tBVlJG>KoSm+ zfU(y3sdw#YI#!n6A;XT|x<|H6=4jnH)$m1FlLBhgf-mt=W zx-zQJV~&qW8XWPK=iNlki|nFk_rw~JV?0FpJr6bUK`S1$>p!^iE>9W(@eHqNq8l0u zsUtqJ=p~Z!3WJB3A@%$lns8DNAAxh;Y6lOnBvAZTtYA`{FX4GIDIVMuk0!-=A41qK z&wsejds>)I0D1OGVFob@+%hvGk~xq2#}{3KKoQi z-bP9EYT}cd8n)ztPKNY#JrS(ts2Q`wQ>7Vv53$cOT8}Z<9*Pj=SS?p?qrh%{as^b~ zU7eU*;iUDRo(4|?-B5V=Zx9pBiKPgvhI*j4oX*eBhKQ*k2dBsu>IV^Cyh?wRXV55o z5Ey?Z-^G8vj573|djf4(K%wa$d~QD-mg||^1L^SJP*A8?D)hb8vVAL2;4M)LOf||l z{N{v=E3NfFM`SbCoCfXKQ!xkRaE^2QQ|azhH+xV*IX!hx$APkVI(94jZr@Jwhjeit=#9j!9R@Rrayj2v?r!j z{_!8--2CBB=zv|jT_K^32{a0Ndzud`y{v^W$~|JwfJ{=y@0Gk|^F*hw;E&&1)UC8g7`U1-5~1rGH0dKY zhDTkBS^uc%a^e=x2mQm}?%hhYrY+cYw&=Ht_b-sGD$pY?wC<+{Bm%<>vn6E6!DD@f z+NH`~+}B}#GCd2meS$(zM7Pmsfcw0xw-AMHAdDf91nUZh^FjUiy*2{Ve-yPm)%Xp= zgPu3z33cd)zm4hcVod26|HI$XPnYJok9~*EUJ?wtg#`wZfRO_X2HGnZ)&$0Ig_-aO z`GZWkb~Ms3YVu`eEpTC*iK44ciPj){d1%wbZw z+h#qKJSf)`Cn7}3)HvABpxE~AvF1#{f1c$Eidf7GX1_Vo@s{_6KYm|(rv1`!TKZTE z+(Y2}gI~N2RPChBm0ZMPm5hGiUXqPaT_JNs=0r<7O3}8{CpvcA12l_;Aocis1p-Wl z!Hm5@CqwCMS~{}#j2pevv^qt}7odqoi_K@?*wQJ|TLkk3r}(;ts&LRvjooFdE7>Qc z0S1!oQu;JBfKI&a1w$?w@y~{`sqr?$sk>57dbMKGnLF@jwh7Eh8k1!#8gcT6~z$-MnL-%z%5m&8_{BC&4|qx$Dw$ zp=x3K?*iH-6N0}v0E0}j#hi@8qIHa*^;<}$dJ~0x_GbE+FSp;YrE>-ft_rNxj!gl@ zk@rL~y(0{ao^*npuR$6zmkVE4_S%yTt8OF?$w@3O5IDAS;Zb3Vf*+%Gnj_Y{Hmn2j z1Q=OIBWwCo1eSF>UV%%FZ6^@CGQ<6;E}w9`NZvz24Zk1o0c8m6TnMsYA}IAe9AD+S zc48}LzQ9^P*w)gUBQh(-GLbO~=&=xuBH_Rw_6xC{oj@XNgpFQ8Ox-tN#T!{87oYRm z*0$ImS{$2kw1XKW>9ob-gHHEgsPTb?eanMM4A^C81|UZ(u}sqW&=?34y5zPtKznR> z2o;u>=1otmT4mr#hjEXKqLs}TX#;OmP^3|Ipfsvq&pew#2b|@#Sk~zui7izK02oo>~rne z^zt2domsUBtubD~1PmEQ>%5PpCjrC+2Zy@!ULg6tYE4)v*WU+57Z{BElFPAHZP6MX zv5=6RJT}55sJ1C2o?}=9Ll}rYnhUVNG@8e}JZ4D%9OF^s5t?&AvGq^v(rrx&;msSJ zrCPtpHZ_I(#k}9$qPW-fxi2X#pe*reg0B6TysN#Z4vbW(v~jsGa5|oOAE40CnyC1< zlA;8i-tc0LPVaOL8rb@hf1>FR*xn=zjLLn@>$epSrp5&96E=mZhYZ`;#NIOImsf1O z7sjsE5$c@YtE;{th?cqc@TpaeQtNf84ioeKIR{ff_rs+F06 zYM!*W>qY9+79->|^M;EQj1BCU1b{TrH|9l$*s#r}uNdUAT1q4A%@{r8O!7nwW|!pOzZijMtu5wI{(|rjYLuodUhSte4zKcz^$g27*u(C3j6T zD(wSr`xiRtBi!?=1o0M zG*9pfOmQ5f#l{3dG(3*422ieTX%R~}bFt}5YgRHK4`ZXcai6klC8J}yc;)k^0_{6v z-azq|sBIkb$FcgH-r(|XVj@R0m)BksTB2&=ZM8JO7^;jLmtLcNGl-&Xn`fV>U z{B&=@A}-G+(8Rb0PP!_~jhGAuWvUMt=!H3zum7Gj&B~E_b%oWxJe!aUhG`n`8*$pz zjCo^Q4#X)uQEOP3!Gi)MfglX|+Yy(BAi84=VIi@>0!G5Zf9IXOgMa1nJuuio%v$dR z^3sz?9($e=2~+#fe2gT6Pau}?kjp0#pJ@UvI;rH$;fauq8Fj=Ln*VR_x8vN4Q%|yN z#Lf?2f|3)P(P0DQqNj_5p`!AtMhZwa_7mxGa5 zlnY{F9SS`JyP?pKw}ha1wCYmv+=K7=kqp6=r7=&K2Qzx3%TVr&X|Kd{EPzOTy#P-y9;IB-pIx#RGbl zrO=Zm1WmjKc#M^3iEim2AO)~TnXpL=IA&1YdG)RsYVzeZFkHlRU+Ua_y<$iqyBszz z)I3(#8aF{=>qN6o=T}_Kn)tre6N~=`T(M6%~gBrZAA? ze%M5yW~`@sB_K#rm0L zWP|90zgzzBpRla^9*0|9 z)h7CoUkeri*I&7*M4K-5RKji71IBw`dCtsNNwG&hpD>i@elxC1$ylcEx zn?OeiXKM{2Pw8eR)v7tG>qAwTq+l=uep;2#5r!(G5wEQwb`=iN6PBgKlP+LX*4>9m zrID#L^ha_FOkbl4m(KpWqr9eHr{7`MgE9l#&G1MWuQu>tI2iOG-Y^i&oM>Z%3|Tg* zJ+_qLNa_1`q|Z__W7_?h9!O*QB`n;LF0_fyVG@=d`Y1_~CY4}2zTf+20n9p)8yJ=#GGt#E1aqK-3 zzX`o-k|m{#3mfOu0*5b7W15~Fg_S&W6JaG?5NRg!Fz|-cxFJ$WXQZ_+#uv)KP)3*O z1a*BSvC;BQMqs_dip$|lVM8-gO*L{08(Q+qbb_v33!)`&U$)S~ht7>Awb~gJU1m_Y zxb9p#2MPUd0Wa)1WUG!$lC0=5mqNxm*Sab`V)0e7>P$k%#dX!W^RK_%@xmnec)!|J zAE4_c#{3N~ITYRZI|9N8=%j~1usEFVd;Isqm|&5aYD?AhIE|NO^I_EcVv9!VzQ=z* zjENOvuirDRq9*=EbNL+VN?(a*=6n3|VRVnc+=R6F6#toi+7U8J*yFbk_q{0=_9t8j zmhcv~E8QCeIFyJbJ>SiSX4j3EG^tt9UE?k41$N@)-gY{xK~MOUlRN+lDCy!ENp2$3{X33e)#L#9_Qz( zM{(%bv*NiFPbA0Pi^WI5L&*fl()%;F{hdB-uqB}&p-*l)BhK^B6^x~EEVvPTk27qv zClp)49GvnqNeVOn^eFgmEe|* z*v*P9B>Q5RWOs{QIy*@MTaGzqbRozaT;ej4TrbnozBuMVgjY)2!u-!r`2QZ9TooPJ zpy+mVN#>IXpN6z`!85>u5*KXBEqS@c3r+8=S|+xH(f+KUMpXBUD&C>XEt{cw)SHcK zF#20l7b;%AkydV+w%kZdLiWCa9<6969O!?H(`Ks#*nF+4R|UT!=0$mwML?U*}+a>@A1u59DT~?mNLDlAww=H0vVZ|M^#mx~p4>{3iHR z=?Y-6{S8y?KqLxRZb!{i0Ti}EGhx^CSIpt@*T~~@$YE8ONHoiesu5ATj*|U?x@G(5 z$_14n6sKYPS?rn1Yq_2nsiZ@O!q|QL_PBBlyySM$^p<`f&){Mko2%<6njc^0FFKrXS%!jt)Ly?Ltw<1}@AqIgj`$iseq|SxGN|c|#{z7mI$$lK9e99(3 zMabWS$g%MQadw4MV#PuRbBCb( zq5K=s4>OdM1xyhf3+i_)zvCydqqTRB64JSl@sOx}JI!R`v5({~#r$sn45XtM&aYgHBatG$G$9bNlR^HNJ;gsm zX-H;1vArT*#DvNu5)iK#(xK{j;9}YzN{^=UFEcH3pg2}J{=-9{)EGBFn$uuKQRUTaS9Lq{eoj|du5bETEbrv zRv!vpJ7p4yBj4%EGodBiR-({4b9W~Fv6!?e8zzr*I1$`4nYgC)&^{y`27%eIQSa1Q zw|1Tc!SG{deLRo_X4dmx@--_Xw%x1b9YxUb>;ec$$|4E>{f5=br{7504c-aLhjyq5 zi`7{uHzp^N<>*Vj(J+V1R1}Y7!_-I>%7T&j3uoKNQ_pBw$vW_5dkJNGNo7k(hJDvu zG6ymeM4piyEO#c@b#_(TZ%w0o=|kBIe3{tn5<%IwKW4#(!v=w44c0orO6(?@$s&}! z%?gzaTWM}LYP*|CLR`~DcTo4Z`=yfuA|4KiWcVbUoFIYueUxffi!RVHCzbK_HhZo8 zF)e1^*Gc!}!+1zGTqBqO^wlQ|f;SvT!`^)PF!i}_vn>3{(SITEW6M{PI9L_J&IA7Ll;=wFYK?oNuv!d?OFU>y(V)24=aE65@-O{qb~DcRaF|NLFa^xnmkoRa^AbX2 z;>Y4}IK$kOG{C|jmWqZAm6J&_W5^C_4|lVNahJyCOt6JD^UiJ6piz7yTY_v@fk^FEZ{L+9P^S*Na>+v2vpljTVqxV-K(c#)wS-ue}UPN(b z@0JZkHly&pT>wWwxWBROCEd6`v^Qy`d1dNTQSN{ z60;-V;21~@!s|F;6HCG*@s`Bw2{^0756V<>nXbcH%DC$o0<&Ck5L$vGP$p;b%$YPEKdP+%GMM5Ad*M$H_r%6`EN2z4kc}`|H0@>QK%u<*=A@nB{ z>22F%5)mZO5GBrk|I6z$z{U`pqrhSfGb5wgL(ePRuLV8bfU;l(FI7ntYrmSP4C6_waO1h7RjXh{BRVaZaR6Bp$BG3hsftqkkE`lW;Pn0 z)|H!1y3mitLA-kYl#Vd3%&|GmjSShO6a8@v?>_O#C`cfuJxL9ReA*G?INUrh3Uy+` zK$FW9T1>>Z;1eJpA=7vPGE4zKun)NYWD5E)F#CZ%{_Hq}`OpWKNeHFm(u82_gqwF@ zp%)oMTfESR(>7$EmtlDA4=xiD8pHqg3;XEE`{1jThL_wE4lgji#kPJ_eW~0=t)b~| zHe-MQ-`CfS6Os%DjeR0su$Bh8`B$wg_wxQ??*zgr^@^4r)?ik1_3R2}XgMq9s^D$< z&RkNjcw}09eFOZ`7Aq$d7T5&agVJuPx4UOm6Y#3Wz^`hobOWBt`|fdBABw6F0U}bv zdMN9rQagx#EMYlxw*JU9h_0kP619!4h6V#%IwBV8i~&@Vv|JzeMbj4}^#rGv_vW1- z-*2VjL`dmw`OMIbx}?2w)q%cmn=ej^)ME${)5$fBX?*JbHS&pKkJ$mbosprx$Pl{f z*kBFI4gUQO9C^5Z#J7vH`v?|wyVV7()1p(=+491Cos1_FPcyT9NkE_CfX;(Py`jL0 z8E&0in5N7S#3xEJ)rY#Egb?pscb74qat-dx5_$UlHp)yRO&d?b?4VjTG!<*pjxq<+XemCA zdu-gj%$fe^MqZl6rcJunS{vM)hCHc<0j8#13z-B@78fNlf35&=Vb^)Vhx~HlpGH^@a{&vrcEk zvSADbl=o+!{`7zTdzc+q1zSb^i+vt40+5?X$p988g^%_6EIA}r`|fs<1eX>C!wjJZ zjMw%}2W5CH=M&B8$TZWEsN9i!w#*^cJWC$UqOHY^e~FEGAcEe{dqVmR2}=F&c(xM+ z$7$1OWll{W{qcS-gX5|-` z^7M*JZ#hJhsKxa6+^l-+<#aZ(3$SNW< zopMcd66fG~%?2p(-E~UEmOxmVV=eI57DkC@wP#+t+)C3?N9`%& zx~KoOI0Sm;U(BR6TEh^f@(lY23wy=f1R`UnmoqxrK`*nYpEE!&BLtp_61He zw>=iT4l7kxLkRkH$mrnIP!glzuvUs>wu3u0Y!!w}6I*(?q-89RUNanS-B;}QgEoEy z0t3`_WM0WMAgIIt{(JAVF#t)(*!wn^b;V-ma#+Fh*a^jArY znnQ%{3YyXC8Dq#SyIvM}=6*ojp#ZErxz$IKp*aD#Usj=)Kw<9WJtA|_fq!{PUbMq6J8{COgDF1GLL zqCJgiVE@O+6G#kFInv(=r$f!AOSeLY>8%jR5t`m>e*vfEF8_C)Y2x0U&4nXZWRzqcck zT&FS+#xh&fk^aZCxwBHGctUQtyp5EasWV_u)y(Y2nPb&+%PSwO=C9oux|fHMS0`*m zL@D6J0k0K|^X=qC+$XZVX|pu|gS#`D2e{lA(d~h*&}6p9?sRr-Opb^aSzfmL!qFI= z4D6*JT^pOxIxF$6a#y^#sZ6i=^Gp~5Nj41UOtb?xvNLui7~JBn1)EG42ZzuP&61(5 z)tIMAwwP>8j4?Ku6H1=bXPhsIp)hO6UU&-1sotI>Y>bm888-zpp|i!kX5U-ME6yZr z4DEp_N(r+mO%EqHqT}sSSC?Agiy6vuZ?QEeE1W(Y)G!>Qw{|qll@;^fn%UCq>b15U zygh7KU2PZ=q*nA~UCM+8*N#DbF20vlBJy1voCoosiZ0Ov0$F^f55ZCFmVL$eP?>|g zU=pJ_8U|!=pC8f<-EIf}&R@0OkJ#i6N1kz$D1Uor2o;aWEzT_O7jzEqH}HYu=V8Q5 zZS6^L=AH-)Cn+J^>eK(!wxzcDuXr)Tiy!Xva)E^ZX7YI>m)v#TkXL-eOWp%JrT{Sc z&HM=ii9W%9LtBBlnYwUGJ|~%Z)G~y_e}f5w^qSyWn((@Io;#Djr_8d~m<@e%%`AL@ zS?JFPN73vv9$fryiv8s_y6i_JW~ zPJb~^NSB&Z-u}=y(kE){^Un0I=Hbx%@P$szuEY>m;tm!$t+&rj4I(?07sG8XNpv;8 zu2+ccA{S=K;YJGRj2Y2X$SLmb3&Sjs$Z|4=XhSxa^ zHAnaNzJw3=gx}z;-Hg+)(+q^yU2@%@@q`hLwNJlp-E9FCy`HVOJL4)!=v^7Em+H0f z=}Uyc)wuanp|4jL;}Yc5dc!Y{m>;vcK+|~VnLO>O%oIMXw0Mcr(v`<| zQEd}DnWw#V=lD$XITIU~-ojKr)Ya$uoaXtIn)z-Br-WAD+vz64XZ}^6&G-ym7QC?c zUNr(H(2RU30Zm)jJDaA^>sc#;+Y!jZIr&_$>GbyR5aV}~&a7IOmu=zGUmWzam)_YN zCrTca=Lzjn;NX@_`P6D~)UF~f2 z;>KKZZa#fql!DO_5PU{LBBRfBfGE01?2npm{Q9WQjn z=L1&ajtzmL|0E#}yt*Dn9_jccx*4EhChvR?nc zyuC}PbX%4#^qdK6VoXGU!eiii9jeJgI*XBnR^}I3c%iX0*RfHnoIeJ;Wo#u3qqpx>?-rmj5z z)v|t~$@f4#Nh_^y24;kkKBwGpdr;lY+8)?J2snr|Qina_lWW?Z_RFeb3OSl!>X7F^ zujv?~u*4tVYQ7%Yn~E0WU!FC?1&f-`olRa9bUagy8V<(7euk@|j>f;)sj_LDZHXrq zzR&*_ix?%|4UIND|oW)g5C_kRG;H z`v$m0i+WyMIs;2|xv2|7!G^lNSN6x#ngv3)$?;XujTKvhVjhdWXWrAjjrijMZqP5* zFObWYy?W>`+qoLHTbe+?ucfY{A?yHK(l8X`29GLKBlKA4JksVzCpslKU$pV+V)*jh zlE)y^IG9wmd7!(f&Uk64`$e$wwut7~mZ(+3^M0&W%=DaeUcx)+Le|11Zd)=}5JH|f z2C+qtjbajKrx3()C}{aD8~0fgL2KtbMAr1Zvukh+@SC5OHa=sm$^oN@Ct64tcpMqh zNF-$=+foVQ+T$%86ul zp#Sdoz-wl7!0{U+6HwfEFJg$fWeqQHYr$cOTe}0JosANF+*s!bcgK6vQiOifkimLk z?Ebe8f_y(CK>k?mpY9w`cG29}(XPy-n0SfCB)qc{C%BKqf$ct`Zb@Cca`sy%bY1=~ z&Ez}4B`m*7?p?+-N+e!?@tqgyFXe@9gJ4;AHO}$q2`(aLSA4KX>R)c+2GMP?lv9 zLSQS>t!ZJ^_|)m(#|eb3CmY)V?XgT1;%q5z*&OgbU-pb0+;LP!>1@}u0njnnBjUYN zgLd%VvF=-oK-#Sba2xVROd#TT_crAO_BB_BLo3+3y`|4}aKj$YShVr=x>_g}nu#i( zsGW!X^B>A5ICL<}$b|&&ej#35M`=1k`<#S9Y7re5;s7aD9FLD<&$YGok3YcInk%yvP19^y!>hiO(SJ>d zpk^*>1+dnu&U#afch$JZ?aC%SdRi*F*WVE2Ura!fxud?U&FUka5rkYi3g-=B*Xx7l zGy2^0wEvz;g-%aH^+*fl2-NCF-NWE)c~|cMuwU0eCJ$|o$2K2m-qzevUgpN6Kwy^# z)mUDenYG1Y5`-P#Bfe2ieAQkm%gvDF`OonvsiU@j$odj^*z39SO3P%xXO+=wWBi1v zW3G0bWeb?xM`9`h^n`u)mc;ChUD10-wLJGC6Gmyr)Sv}>C_#s!e7&9ki?PG?8U3r} zG8N5Rv-((YD0xBl-+N}HcezaHFVYdoEW&elx8~{drjX#~qJ6QI9&dD0;%c)7VhLkz zS^qCzON?|{4(Yi=?#R=!fz;7ZI^tz)9-IL-$@s3MrgcwsBjBq#4g91v=GM(@0E#L} zF=zB*@4dOY$Ae9#K&zaYZ@lD!C3G_nDbr+6lD5b=Y_ub=k@ZHVEnL`CQA2l7!%8s> zZN%&|AVDcUN!Ahj{grA)?=FzE@CFmB8*nEe3%gV^JCF9)Zpopk%td% zU>^<4_nr9wBpXGyzq@8Tw{UZMEXt# zO!C-?95PG6saA5WPikM{053@Q!` zS4~^6P{7nyM^3EC>K5@EZ4RA*#%I;4r-HdZW{c2|B!ULc5!44qwHu!Q!pTd<`IF0z zf~I?^0F~1=pi7?pJ_R52YG+FFHIJp*;(~2aS|Y(V&f!c_s=^UBXF68Npar$6gk$uo zTB)-$iy66DP5?Z{-DP_+UBnYE%Y<4X2Uj-kFY>+tjnVV(Yyi;?pRT_(kte!{kddI7 z#;KW?f~c#rLwa+mF50mC>&?E3V9nRGQ07f=S^B1UU?+)1pUefm)ju(AO4NE$@qieaaG2ifOS4R=C5|v@~k<%E)NNm9%5di%2=lO@HCw&Y{FM(ZS1qHVlXS zz!2h0w?3jY;K_zI;&CCmc*5;z8(lQQmm-+Or6Z*dF)A1RGZpmK(9^jm`r*8YNJr2+ zd&GOz@EZk>;fss=%}GF~ynt-RTo*K^0ram+Y|aYTDQ9cx%) z6$b;vV?g7pg(nPM;zYpk?eaBsnlNaT1$*vY$+%gG#AhtQ2#Nrr%jg6LuyydhD#S^E z0I(PgiXfk^@pRbT%zm@&(gJWx5mWrWvJ-}S3u5d}=!4Brb70T=vS%KnUj-4i z9$L^9KSmm&C+KDGtAzkoMa+!E3_9#E0J^2TIP8EkyM_$br)L3P>V`^P*Mer49n1@FIIG@-@0PdUrKq2Bi!#a4oU< zqfG>|R+whSf43xGfVDwo!Trm$JdZH`(6!mS+Xa}!i1$CBcd)z65r)QX5x19L%8+K% zH@@%mr^enEEn}@*MA5&x);#W*#QIx5CmVy5`yErz2t*?6hFzH>>SqlYCEg@!GUQK) zL4s#SSCKkp<4}?Ba=cs7hO}POcY@LQh^PpLhSFX-?4N>YJty;nB(Xmx>Am;$os$G< z7}_6G?>?fx(#%a=`pdod=`Y$YvzY$!`8yAO0ee&(CBKIl+Pw#?JNTYI=W(U+slY!V4XKKV6{ z%x{5Y4fy+DD$;ZH@74oc3-%0Gp}&pB-$JgLi{ISwwVLxwGIMyaMzxj#zEsagOWNdLDvgm6I zX9RC=wwZWLiZ=FkIM%?MN{q)o@zY@ZK8dFu4a~1AWuxz`=8r!M#*MdNZ-K!SI%k9u z^QC!whxjTw;X}qO@g)6(@}yC1wn{?JIZsA?;zwcT@N2Bea{>Lf!}ZXUqU9l_1aT4v zbY9GIjNoqqALLXxz5(^_8dxlswhhVROO^@zjoCBMDR*xMk9ZgA#u#Ry0|lPL@VtDl7Y5~B-I&0$&ij2q6y4y(Ix<)r9N%w zk}r~c*_co8>Gtfb@KHd4un^stas;y+pfD*1#KNET2qDD+R;4M zh?K^j;>P%3d@UX!+O>6#ROd*SSZu2tw~iw?p_gQIpvSWe{sf^XKw;f_Ulp5PCMk7X z;KmtsTr$ryf#}IwP9xRQ@OgoohSdCYp2J_{z~fF^7ajMto&*V<98Q$YGX)pLtdyWm zf8_B+mjzKmI6wVRG!bO)MM;KAvBuA!mL?(wk0ZqfHHv=lg&m<3Ura4bMhdzs( zQ-PI+K1#Wal*;ht=~E#f$G|Y(j9#S@*v@@`1rtTUQjCz~=#eaxcEbc5U^2z4I4 zAq4J}N23*r2ckR)qCqK{FtI<+<7rYyfDcM<_xoap*Tb=PVH8nGf#mwb&kVnl4jH}N zdo^y_u^}z36B0_MOFrg1xJt^N=nF2CfWgra0v&a{R|1C6iCw$629h)$lj2hMmZOwl z3UcCPOq@8$wR4b+H+#rP%8)rI)9aM7<8#V%Ovy&W(p`vmLc#je>3lf;dHyY*JlR7T zZcQf+;nqjn(sd8W8O2a~I&BP(Jx^No0FQw)nOu*Bp2mr!&BnA0zIvTj*CCwJrtrH1 zUe*m~KYn6&m>W(~M=o6JXm#I8EnYrNkL#f^gAe~X8jfpUGTBW1WJ(*tNe-l-i_mn9 znaJpDI$;biIO@85gKh>Nt#Gae(rZFwWs=%>cP)pNsKmBRP#Q;gmFhn#T=|(lOw+W(-5_(bP^8GW4=^K07q5(^zhJ+pzEZ3WW6n$&+t6rghl8@W%j0)RqU zXq9IwK4l2tm;vcs;qfHfotF5o>HKjmz^owxi)<7pWe$j0Quw}wA>&OY*6R6pPYjkv z$*534N@gGaC4kOfD7P?2Qe?%KR=5Y;U#xv5S@XC3tvZTS%7TMbpd zR-Z^CMxs#H3A-n(T$C0k)=>>k%v~16ItA=-`ZI|E8LS2{MXNQqKRtJzD0WFI=~$_6 zt!V4Z)$j?|+0TE6QAT36_98uGxPObGERpQgssTe$*E#4)lX;rRrOv};mmgR?B?4?M zLqZ3kq@jfx(h5m{?2~{*sA_gNFEJ_nP`UwV*VOA!|3d1{RjGD0)t~o7-_>bo0IAgp zHOEgA>u)o?IKwOFOfzc!n4TmZLsjFPS^)~}ZoEYze0?*lnR#!G_ss!s5X;-mI}2@c zPO6Z{xB|~l6+$Pr?HQ4+`W|IPx|97&Tc9K~)XL1<4&})%aROEDT^fda&$mKQ#*+2? zt2XBgGL8!%vnRhSf&(|?JRSi}yoE&HN$%6s3h7UrjiiU1_IX}j2ofj++#%7nO?_o# zr3+ah$;x7jRFTjr3kLdFHD?6$t>AW&*Zgd8FtH*BL=ug)iWZ^*5|wxsObmv!3yYN;=AATS10iDB5@NDhKCStkk|A3-J9#0TJ~i?eh_0b&6kA`kqns_HH;| zNJb16eT7?fu-1_Ri-R$86Yn@7!7N*vqGG8PVSDI+owh3;@dB`v#fTw?VPDVWEE|}S z95=QiMzP05)tUVSmR-e!z%AKnc>KYe!-zT(&xMf$nkt?Z@v`U09Pq`~LuI!^nZJLf zOn5c!LOvEsm|4JR_OZ-+5SzBm>HU&5bd7#8Pem*<$^}-$lpH;WN-&5;_sYU!)QvZa zG0R*RgD$?OT{~jJ0cJS|pnTq6&CHzV`T4>bLW>DN!bWqPF9!MQc8_-)cwwwbYpbqj z!7CNjxKGQ9Mi|D-iut5KILumgU}HD02l(ish~@Iv*gMO5V=2+`7xQ7kj|h!=eeTa7 zd?qniMrmlpOia+`D{xoi{`;*t%h>Y^NmxQ;D#xsD@+Q>pSr@^r>aKZpzd%3Ew_yhT z_7~!@va-PXH-E+uV~&Q%e9ZU7x&)8n5k4Y}2ixr%c0dQNBY(gEos6A{=n!?bJa&LW z9I+oeRPo7HIhp00oJ?)`H!%NNp@WyuwW^McWLFh^H>?VP^Od;N zYH6=;%7IVV#{#(!C?NlmR;>TF-~a=6X|e8Kl~NcfiT*b;f5VRfPS+A?*g5=|Zm(&V zTuYK9l7D00{A@qlYfsiu}cB7N-H<&@)C%f}>wuG}~`d|EQ)qnKi1D;i#+fd-*0&0xf z=}OV^<{(>wN)&qriVhx?>jvDZ8dMv++;l!y4TtI)sdCll#WAg%1@2j5aB#uiUB?T8?f*c)5u zdtZ?Wn>qXFc67oox(hW)219&EdO#tvphSq! zZ`LZ%wTj7(N|q|o3mq2;Qos3T7KSE|Fk*yeL6%zSQYE_8PTreASMhT7B0L)e3C;M0 zR>aa8bzmHFI*&FYF5t2AUlxa_bk|St;=5FgZgyTEWC;$C068}9B(WFZ7jaz|kH1T` z=+=5T$!x>*NlrHBSRJNKcam7%fhUb9cxfH*fr$7fIOD;)3MZG`dI37#C9}z!p_&CR zb<@e_I|>@bHGPbY9gbcI)e#^8Cv`o~;+vWE9%T z6UH<93wrX8FaHGcPiVCR04G6pvjaqmj*SqMsmoFCc^#52K>RLJU? zB(ut&fEq)G5r2$fwM?WoU=w;2%U=QJ-y(ApDihg}FqVB*xA@!8+6ed9z5!O@K~qLb zT`Zs>0fxp9pdp{tBBH$L%I0YJ@jxeMRg6>J0Pe5FM-TxLw^X-9j~Em3MZ&8ly#-WP z(uh#3RM~f}Iwy4uK?&8WEtoGV5w0d{$KwgtwMxT33hf-TPzeP0x~Zv1Tn0cIOAM^d zuSml^kG1eK{bdLEWX=X>vz!T{Qu#cxw1(2O>!xCws!YhzWcnN%9K#-)2wX~Hk;(Q5 zP=ap1IvaL7P-R&hI>Ams%~-IEfhAGxR1`oAYvteq0$=lYm}P4L*X3$$$FH~w2vXmx zN+`gj`=qE7Y;fV+l8K;4ffuhCnux!Uu+c4Up@EDjpYnYxzQlwon|ik&+OBt`OL;PO zX678B8u+Xv>-t#-h^%d4I?_yq<~vdlNMzFiVbm~WN}D><6)n8FoM_hE&icRp_`?T% z(V{P3IBFf+0TUvy$2maANUvdl?_-0#rPCLNWAM8KnbAV1nD`*C0jkZcx;DJu*2B?h z*EHlngoGCXGrkFrx)XvPw%@-Zf(grKevMe#t8CoAoue3|4gl;6Omy8yD49FMv>TTiej zI7C37`d{dG31gg>zp74lrv|7grrda}H(m~;zmvBzdGR>TL1qRyeKS|8!Fy^j%$*B+Pf(*xEEdWlMyE=5pgbAE-_(ZxzgYZLNcqpl-JhI|+;DIK}P4F~_ zB~bPXpiB59a4o!ZZ<-dMkkn4N{*qNR1!C~0m{At^PIBOPBcQ#gc^8H+sr9dZ_2C1@ z=5)obo&hFQ`zMAGzy?=R)oW6|^7d$-#7WTEuGggVZX3YIJUS^E=>RU=XWXSlE?17R|DISo&DuyX; z$VR}89v9>&N%oj;kSuZl^~1?TSTIX-qQ5imUN{4Jje_imOqVMERIE98&mF5*JTPHM z~Z36f2RGMdK%AKz;-m&FhKJAdiD%I-Yhb9gFMPx3;G(`wH}M- zzf=riPveQ}SB?$@1&n^kKoAZI-O*w6{NK_R+5xXQW@uFH5R{=t9p{Cj}Y{{6pwz%}&qU;Kl=u%DiPzghs2dQ&N(c3F4v zMBJ$rZn7AoTeB%~8A4|PhWlPU|K;=V0Imeqjx|apBeI~PHXGPY?Rg0uOBS&`vJ5aK z(H;>wV7_8kFt~4Q_&zx=`P2Ze5Ujt!KC|2Z9yC`Z;n0x1dh8Ub%*EgT4;MgxzLgrk zd)KLk8qh=E=z!w0G(b?dn5zh$pTMGD4Rj!>wQZp04$Zz~4xDI-=4buge_Br%eH7|w zAX#|75nLaG@xky%($iFy^F0|^WPUxSq6VyCr|*t7Fi3Ql9tD4abP|v>iQp$~0s*78cv@S6ur5$0=`EVg2gv}D*MV)u6XBX8@n3X+S>XpI;Lo=0;0}SaKhS{OY&Dwiu`r|31ZAx?ZFl#YNn}!sZP={Rb?%6!sH3LY- zYTXR!*Aqi5GZY*tWO#|v4CY#_T;FBVlCcS)lPjs`nucxasqW180oMgA??C#tfCrI~ zlkm-pkn-d$w}fwKnX+qEWW;Ei}qol&H8ZW z6{>56PN-+Y6+8Q4gWQimG&qlK-5|0~i1k{`J=*_iS1WoT3A|CX%jHf(6?|@YzOnK& zZ|FrSp+m|5Kp5mMPKuyqd6I2#`tozcPyLj`SxN{ydzDkyCA-t0VPR z-{4?d90cwUD13I%*{?4+;T#UQCcC0!0Lj@=3&R0{y1RT{C6ARoOc5G%FyUMsQdi&q z@LBE)OnTisA`-jVG~;e`t7<+?_KI|@4(0|RRQp~31E62&Kv{kVq<=Kd4#d*=n;78Tr zU24MPR~pK4z147)mzb6sz7n3QqeJb-=uS`o5h|9`j9Y0`MVjCzRl`?xbU^(W=(I;F z8U_QNH*F@<{8a~U)zORcV|d3`Ak53w;=P@eMbQS}sJdF)9GuGOfU?Kz#d1}R3KTG- zwk@L8;H$a^S}co2Wl84+9T{LYHY=xE%XJt0RE@VMk}*tQC#P7Cnlc$+*)(ucHO{|i z&|^Wf%!YSjhq5Pm(V`=`s;nh}v=4J{rL|dQb?^3hV-#d|dxK*O{raZc8y&E?6M^Rg z^}-GtGh=A)8lZOrO?M0Xgj9stW34>uW$^CvNB~}W^lT~5jEpK!j$~17l*XZD)2x`h z&NM|a%YZ$D=bs0-Vo+BA@OKMNBqn-iq*ZF@&Y_JAlFDL*w|cfWKxSCwn1$o}WiSa2 zNHE@-7#8|OrYFBbF&IdveF_`~nH?X6#O~t>GD_4>$t*FnKwBKK{rrvbg3cY`&$L$s z2qpmi3iMunb*r1{wQ$zt$bzRVo>FTjv&z*5vBC-#mHiPGGvXEWy$p$|go_XdS3@0B zfxlvU&73tkwm=<}ye8Pc6ifyk9j`~Z9+}=YXU)bNEZoo8A&(&gzOj$RR8iyLuw~rg zh9<#4X8rUg8BU^73k=@bZBf3gKkD~_T`1{WcK+x0qUnXxo5W?7=W*~QI3{zxl*a0n zZ50@f(yHEmur)5th#eyj`dQ{A9$ts})^!D1M+jl)Vu{~e(TOz?lF0kWGzuf1R5XdB zMd7iNulP?@cn_mWQ0agIYD!vnWO}2@@N(RNv9F$J1G7mGtqk1ZBTfQ5l+*)FwdkS6 zL>q55W>ujjfak=}fm>xKE=CPz#HJ9wgh$p5v0p6b!Gvw&Pts`m<9U>}E~-lhr_OQQ z0LHt=3B6cDlayJjX!3jPCf>KKp#Y5+LDk?%-lM;cY-i1Dqh0LcNeE4Jj|2XnXs2VA z^*sQ380LotMqpib16i5yhXY|7yv&&Y)3};V!f1Zut}~@6R|27T%a?u{HP1dY0Eu;}uO4s;EMnFuM3-l{vn&feg%Eh_&<4NfcR0X-&=G&Rh;hY|Oj2k%%Ofu%7430P z+cs6x(QfP<&fp-2pU-9AjBI9*;nQUH+5eh3R+*!^Ejoa>Hy}F3!@&-mq|gR(8z*nB zn`3r5Nb#(HgARN?=Q}_l{969`)_DK_+WhjZwI)N7wtEm1N1!gF=>`{cF9t7- zeO7t<{Cfo#ax9Gy?qpu*TXY-(%bSj!(3gjDL z59;~vDZ5w|Ps)C5KxrCe{0bWK>Ptea{1wB%e~Ud~;45a75Tb@OV2?Q|HXE?&+E6l~ zGI0Ow#zohJ;Kq?{GO{1d79ojkykA`1V3asxf#=!o`dd}b&c zwH*lPl$z>&AOoK4L^AqvbtnLH#F;z>KC+pf1w>zTyz-sFUhQ^8Cz0MZ>6xSP9nx=NPHU)U%5mous^kh} z0cxI)Cf~eeDPkR$nPEGU=}1S|c57hCy=2)RDcp0G%a5;m!AH+_qh!0>iF|~@p7_RS z2OS**1v_MZRC~3hU1hNIt~lTZM+-<7a~G~%^6uB?jip}z`k^=uV2d9!C5!zf)6VWX zSFaAk=INyD8dW$ehoRs#+?MnR4MYJevVXGR?a+&_WvQxWOuXnr?0w5A)!`-v=z<3= zKOV(%0NU#Lw;XfEl=Ev4H#`<4o!O*C4Q07v&#-Z!!>j9JjAUayo!JFv%;C@5od#DU z`=>wu@L>aASQMC6+{+R_ZfI_NEMZgm!zS8Y#B@e^OW15FCV zJWLP`?mGkzl9EAFjl~p9DN{9T@CvPMgb<3&|G+?SaDTEtZtm;|unYD~u>G;UvqOM_ zNU6MUgK&hQE9>?7qGZ>Z3Z=SVBxY$bKrQUOtvJSkiw!dRND2t#p<>HEa5Z)1LOv-v z?`WC!`K!c;<#ze^?$`EGvT2&DO9q8=X@gx>T@;#LG|D8C=0xbSswlS&h!QYLoir*O zdo4EH7cChdulLw2q3JE}Yg?EdNe``{tLrYyv~*fi@_i2n(2KfXh@T~7@zgQ?*S0oH z$^LKiywY&LOKK;U?y&2hBb|XXg{5#Tj`T{Q--GJ+~8!(R*9Jz8* zu&Ai!7GGrQF+O35fFVc^@d4F96dU5Ea)h{O*{@~lVJhy6_Omh_8fq>XWi)>3&`6%x z+JJv*Hvi0QJvWAwyE4LGNJ^6w_i|(d)66wJL)}4#pzf6M;h$8R>Sh8`Cn3f@lclwj z0l!Lgqif@33KD{L@l-zpr}~BzI>?&mze~zM`~16dIJ20mL|e6@8M5X$=bXzqfSJWO z6zWtD>?-nJR?c4SUFv%p(9y1aNOY&E8tPh=Vw>TXgqWGYj4$I@tZj?AE29K zIt*hGq^_%nf(&Y16B)CzdH#EAdjr^NXY)!ro}K4`q>^-nG&=dd8J=k4oLA@2s%@|9 zB3Hc|(i_^GPRZ4K^7LF5Xt#RWnAH0+QCoNUK|KxjiQ3*N&KFzIp_yTE(O*qv|H^C? z4+CcRJQqrPJD*Tl(%B8)?{W6Loex?|BZiu)xQn=KCnOf-knpeca9gu@NG2udlXr0 zjN{G73-1&AV}{#%8Y7_WInllE+8-nL4r>1fksAn?A&tmgh>-W%Sv7)t;J~F+i(Q^0 z0D#K9&q#Q7=kRS%gEj3X?uDSeI`zz=?g424IAv5c*}zY2b4EBZ)rBM=q6Q9bg^}Z4 zR%qKaJ=vz}Of3L*UKrf*8z1c%r=~%>sHH)2XP(|fPUr{GvTuaE>}JETRPZW?fKs4a zMRyKOFb<*P=VPgvf7!x+=c_RiLGVoa4VIt&eLel&$sa<|2+w3jti)SkUx_&ngNN;ncfH94?m;GT{z7(y2Q_Iq48dog>D zue)A))(I{_2%Nj;Kb=!EPWjc-z^FmTSG zVy5i=j4v|D;^Gz>kxFoImUu7vJjIPlITQ#~;_gBG3s9;Myn}{#l;eN+%6M`jHW}-Q zmyX6xk~p@pxJ05Tz4W^es=q*MEoXqeu1%vp-gMxJxC4 z3v_|}C&|ITmIr#ZLg2Xtamtpi$IU-2mg67Eh(@cV#^ zpmfQLD9PeFBW+}`?-{dR`%_S6FOnawW&DGhg6uwcMCLb2-!*s#Wc)xQA_4>zet-r~ zMC^)kIOVU`ow|&&VZTTjv>D%N(&RS>%#bVlcoyLwu9fMsX)`G9J_lTR`4w`Vyc^+bsN;SqgjWyjA_F8XjP$ff5ws0nAjSC=m#! zZZv|TAZ~yQqniL9Sd%vP+5mG3%EGN ze z{7*IcseVQ7*87Gk0VNG8hjGAj>XpJP%C@)gBnWK+H~($E+ZFl5V!jzDT`L`-C9S|s zSdk)zSd|T#9f)gU(H`!)+1Kz}J0xu$o`86nB*_ULqWG$;?d&@g8Ay?MBrOrDPC86; zz?B^^2o?qEd#74nh!MV`!Hku8``&1}XKoKoLLEDV7Z!Wb&QJ=C9Eon;a@Y*%hj=t* z-rlAx){DaTXVv$e^f$M6Lr3+Zr9ONprb-4!6> zTjh#fydUAe1+$1OAgWlc7Uf3E9!9w^=-`0C#l})>!hSJB2bZ`U?=|3?UX*K|MTgkXX)u><%*Zga=^WUNWhGJ;twb_GpBgNowuTZX1Es^rmWAe>g3_5wLtmIi z7X|y5jZCFrfzLTl9$0v_1wc@9q`JVXXHmF#6~hJkECm<1xd1vq#lKkZUn|-}o5yn5 zV4{wIamA~Qmuz_uMbdKMVm&F=*S>9sVza@$$3xTQ zWOmgJnc}#~S~eC>pZP{HGTMxP{aEMowBcSqp)b^ zMPVrw)*S~ks(-OErmJWGfKPK4d4`SbD#sRsd3eLxn#wy7ld=P*S)eua06-U zrulMe%Ew$6E!$HTJBMZkkM6UgFVH_scp_<}q5<>CRNFfTv8SiPBSQFM%x z^^2g|H4W(ItdGDac0V?h4`b6eLkp%Y>g)9@MQ6*Bas0IEh!-y@SvIT;8HTZdceWw&-QB!kUkVQX#tROlVA7jT z9Qz{iAi|W0J62ouC4ygXEFJR=Po;MkAI=T}eN(AfZS$Rt+X-hp=wz>*w^yHV$EIX} zOgQ)BiC#i?Unvv|c2%k;SvmS1l%XR2W{Zub*hKHk9Je6X>fH&TS&OZ4_BoAk>kRAi z<^7m1@;=fLRy;j{K1|A!5MMWSI$Ce-rh%vPfU8EK6<+0az9BOjj9EvJY|;TpCbg~s zYbYlrC((m_N84&nokV&OB?OksH<+dh_zmn?$13Qx+Kg!KncA#x92o{b? zMEo>*s6E-S$cjSvVWD+a#w=n^c695!(D~=z*xT~jF!0>#BB$f;cVB4=0z=z(lYziu zTC&@4^MMev;C~>+jc%dz3pW8PZ=8;uD@TPz3`j#J;0sR&r(-y(mtgUOF`;KMe*O)C z$taN1TCu}d95-nMBpqv87A`3r_7CNo$rYj>Of!Np6;s$5M_GMsE|S7A4X$~|d8onn z`CIWpNdlhoPoK4gcRWR zPtQWw6Oc=08GJ@4oF&p&o00*y26oQD#`S^S6}gps(?b8l)pullLp{-Kx5XMjjOY%a zi}rXE2IkVCLePJ697+L!0WiwY8G+XKG+IYhAwS1Nkm<1ahzDE z&XOt!@8NyRx2{1DkEtYlai!p*ijz+~enl|go1F;JA2F%%CP#8_`GKr&~efYo|!c`=s z3AiuFCO3~VzkzcuZAtVC`}Xr&^v5zM8z9G1i}<%=D=de~+0foyVB_Xtosfb}o$1uAb0dNbJfvD1^zeHd)D+5pc`?cpY=VLaJtYny_GotEZyt=XB5r8P#E z8Hn{mxmB}lH0CV_l&#cWlY-51jo9`*%4!R;Z65H0v5e0HNJJ)42&fdVUec4?OHtYD z6@Xet28_V^QnpK)_LuT;X=t(Jq$KO%Xp;`&O(G_I`FF_hoNCRmtw&o~S48hG_TOIZ zpBPzSgRrB+fD@`_F2t!TCTWS0hI}@zR7OD74u|BfX?25cRc0cVs8+{^`5ef5UezG= zQchou-7=G+(dOS64MdB{*>WRu{BrGwG%q?g3zF~?gv|Vy$@2dFmP|HE+PdTS9 z`|PPGXw27LFwTmNYUyxWE+`aLt_bm3;2z21q3ob{A?n$(hQ>OM+9 zyCMK`XiqMVP@?EqSr-!=vTE@Fvu#>HZH^O3M-06&trvNNW!1g#hju5{NpQJNw9w>@ z4w-uLqB_3!#_}?Y;)Rl@6;T!kHLv;s9&A*3+TY4SZ*%T)JpAGa0-g$+cOJx(CbF;*Y3EL^`mS;vo;Qw8t6%a!YmGTy4OIef=l z|H02+gYbU=vtOcuQTVnHvCgW&CkL`&{NB7ow)vP2?_>vT@qzRyCbf4Cv+t)S&uERQa@`03I-4GpD~`N$2BaUEEOXne z#fxNVhkP9oJJhH&onz+vCX;Ew@m5)US^f9e)vzH?YE5HLZUyoCtn`ar# z_^1cjX*zgu;l3b_r_{lSRHJVtUQZr5$9Qbaxd^bZ%Urc zr@y8iH3G;k#cRPu0U!ql@M71%g>_N?7cxumU$4Ip$FpuPSEk3~=B?xbZ2G2En})?FZ>5heTB`uiUsU6O zB_6H28Ozp~JmJ1w@F9=@h(H8vQz-yX5acBeWfe4f%%s+oD z8al7)yg$*dK!*|o3TR0Pl5-2@Ahmh9|}&n&dvJPj>%kFe)sDBExM!-rHo$=bSqt zjc=O^!P1R9{hr^`^8+rzSE|cbOj&_ayK}vvrOo#?oORoLa>UgfZqjy-w>(A=0$Pc~ z@AGI6r(I;8j^NbdwhRn*XsZp``8_TmaJ%u;Gza^aK;&T-3cNud$9`&dyP{s4$=09z z?A^Fq;SBi-^g_lb`3@ISIqivzYIbU!e(2UiNjl4zHF_Z{ejj1C@P|S6x^vVa&jAm` zTvH^p>rJq;Ee`AO9W!#^yIrfH*Wy=*Tz_bQ0h$+bt31chB3)y2&}P$7Z_yBZ@p^Jp<2QyTubPiBL+&Y(8`rKkpOhe&t4N_0Kup) zH17xEA~3A&%IsVh-%cmC|uy8n+;Fi|BFlfWZ znR^D{z!yCM&&f>>$fc(zr^@%BXKW6n&42X$JK>A>V=aS}K6o@xX7*Bv!(4XOanHF+oBb&8+K=3odSp<6i~L?@@+T%g=|JMm#EQ;b z2FqpU0$eg9I;hC03htfow@)HMr)|L8$0GQ(GK*&-INYnFnbACfY!op<%&;?P1e*};|)o|e(cS*6n>4>IR}tQ*J*BEGVXWRC}N5Od>Mzy57h5aiID)EqmmP-nzZisucG?{>LzfRCT?=dNoN03Im;_vip?-(xC;(2FcYAr`ra z<(6b&V68#D&LH_7e)wVLTc)GT;5^#L)j?{Ji^$^X-Io!8oo$X0e`MVvSf^v6`YY}x`GaFvb56FVZ;yZ zL3vRkP}gWKQ*s($`Gf9EkR3pmrs5Cq~BRZmsVzXR4Ree82~k7L9#i=Q2FZ02M> zLBlc$0C+{;|7-u$Pl(kBpMTKp(7a+V0rvGVp`g@ZEyLt7{MyN;oZuGurOiha-Zpc% z3}2f28Cb7l&@Y1r2uBrFhBP}IfTZ8CTSN;!@R<-&b}6IrAYglH9~E zO4=|SGcRr+jFbrKh9*~qFCy;HT2i+cO|ICf7+6Ta(7C*qFrs4U9kH`&J^?CM-mZlt zij)XYZUa{xR1>(5{RE$l_VT{Mhzg*4fQER-4xfOwZ7?XyCSDEpZP^AmPh`jJ$eto3 ztfRR(0AOj^+SkY9;?Bd=IDv~h{76_MrfNWWrcMQzY$5J7%c%%#y+>xf%Fk2^wS<(R zBY5{N??_A$Dd1W)b#b>Y*h7dG$wLmX;vdieZ`m&%P+n;ng9@Zz-L?fDsdNx)t4}AU ziCgsg)g_A&=K~AY!($XcbT%7yzOOsL04@e`IcAr)FQ)AoAY%aq3FO%`PtkH~EBI?N z8ygGOo?#&SeSKfJx;rtIjx6xyh2U)AdDoumX;B-N-~@PBNQmdp~EiN8#y0IGshzCBu$Cq+#b5o7`elNa`l9 z8P~eb^BJt=LS$lvOqv5z6sBG;>(Ovxo+QsyrKla^@(vnsgH zlCN#%8Z7Nx;o^WHtKxe%_7Ickg*$+Yd#Bn;#l-L6%DI z(`=F-2~b#>pNekThV%mTX-da(h8j;UUA`Gbv7a1bYwO)LXjyWBvb9JmSXIe=>V7?v z+&~+Yl0yI9cc&VI7;1&5r1qja!V9P^ooX(ery@=a#3*|KYRM5ZhL!RICLqr^0KObq5V6tekAoLfHZ-$OJxcR0d zuTFH(Mw#a?-`+Bl&xC(4|1k0-@?IB3p$p$lqteAD!vbW`4zn3+Fxe%co6g_fG*oyT zT)(5qoe=H039baDr#FoQ9tX4NK$`JF%^m5=d710YS*a6~XM9PZqeJ{JPa_3!h=6^B ztB)Gb>unPB2qy?4&znEJd9T$_KX*o15~WKf>Ey)$)-1_*B@MI4TfDyc;mb{<(Fz5K z!cP;@UKS5<>B}>t$GGq_6%8_wt!K>8W44*&ELeBOXEZ#Bc|qzgNuZ;b<`Z`aB_#`k zEcO5W-J}kr6`JeL4sWA5U)suo+vlfF(E@GSV$YOq`Xi7rd;>V8Nr$|78QenWT@rRN8>xuHhC#()*27vkVF%fQpEKP zU4g2KLfXzRv;TizjY#A)Z3oOtAwSzSxH@k0mC)5=?sf1>rHMhGuK+e}=$x%m4X|O2 z1>yaovlH z!jR=KJW?3LgA@n*iZ5qU_^pG?Im?**JacF@18t#rqU|BKh4~FZTHoUmCQULY3!E&W zGaD8fD6ccB*c0w_`a?sb=aBvHP^B`a!v^�wppFOpL%lJ!wj8KZOjcSi~q$3M_-YgXp9U7kzUH>@iGTcl%6(0qiLstnom9g>MpGlTca&=wH-?FX}CK zgn4Q)ehzq(@b;yE4zWfV&CViS7&lPx9q;9>wsC^*Xw~6icSV+k?+2hnL9&7amjH8G zu~zPX7u`(PLl&h3d4!N0koGJ_J^NWg!wbK2gLz(Rkj|Ua(N3A`MluwLHj!Ed>2;12 zm8XjFBMH((j@kU3HO|4*2lWFI=G77GFlvWLlJBT5ZzTK|f4+Dt&_NguM@n3smqK+L zh%GW=E;L(EOMr`|r*1FvNr@me5^hB<8v_V`=$T1k#VP{R6XH55?|O^H!bpKR()?fnBrOR^g zFh$i&y)RIX=No?J;Ic8`WlH@o(H38N4Drp<JnjI_tkgJF>Bi*!t5irRW7g$6mNL|+4CL)s?(4T@N>bayb&pv$>{S$zq7h)$(+G908 z^=67R;9DV%!CIT9RjXA|k2XVmDQhxcqI(}`sqn%W%@CInRM7=crh_29YT{%JpkUZ6 zUOd6AqJjxkFt|WT^^)XD(v_hS34E&ydacp0$ylHlcuNpiAx4^u`&WMcCBqXnDhr?< zNLkzhkr82o5`srM_9|bKsbAr08nJZWR}UsUkwInX>jO|v47Zlf*yXD4S^tAY+`>wj zhc@E6fV7@f-d$$Yn4k>jIz}kc31i!QIiGb|}=HuP=2 zurNg?(7aSbLTnMn)5XSMy&e0N9c96+?~{Xp7Bei%DyS@^208~XrgGbwnzM@HNQ zAo>!T61VF*21rcSH}!ok8J2h4&MzML9uHko)ILNvJX_ZoJ_WycG1O5 zx!HlF;_&;xDA2c(aUr<303-NS$8iP;zJ)@IN>jKk7m_a(SvvUBEgkA{zgt@TTO3b40lWBl;M7?R}i?bO+kPImY&7 zT>)1+q+UT~&}m7TpuKSDvDacBZVMnvKjxj)=6fJZerp#F>!F|pOKfiawn)FPvXW$Hpi+7ScD@K>2-A7D8k^7|! z3dZ#y1%*Gppod{okmL>NO;b7H>sF_oXw_Lg27cXlbgzo;t?eg52k4f?qH_Y>`Z{Fp6%QO>Qdo0s(?+w}6B(D%~OVw8UL$@RX1f}f-yQ7w{1gMRe3bhDiD zylhYOo%<8CXFMCdFE;gFDryFeuoxyU{PJZ@Cy4u_hRVBH)}%rQdgkc~p|2pc*+JGu z(;eA+<%bv_H#GK87nd%I(|YumDsHl>OzZqvd9+vP@_w*YHJ0>?UzoQlLH?w|KFMYK zc)NatpV0V(g_tUoTB@UXk0MN(qlv~pfg01d1Kjf9P~OmRc?Q;a%XjbgtT38;yd64+ zGmz{GI8hWeKj-u>{%-twsE2Ud26u8@l8+aVr-I>PXQfd8Nh#gPC%X`6LJGR|o^&8M zusZ78;+naGe}q%5OWf;GdE)3Pg#}JNw9PTUXptwcfdHh}82F2J%;mnLkdVDTsP;wO zESePQVv4FM)sO79$mx#kZ#OR?!)rYlnAUidRd06KyGjCMR;|{{rUYD)eDQKi-tMbJ zo}(@X-xDVaXI-@Gp`Il)~>S!?HSVioD!iZWNg*h!zB97apgZ7V$gB?nf3FI7P26cP7ubM^hXt z;7PqC`F(|i@N?;@33-<<8WzvW$?<+)lrKoXF?s;W@3H!p>&?S8_K`!g7iERUvx`op zr{SP}%$oLMX9fX2D4dGqQ1b~*pvR~++);}kyE+IIu%Xy~-F4!h~Z z_Q!aA=cqOI5efT+D{29s)nfynz%5*$n@ZlMMpg?ev_A%G``6${xN{C`U@GtUnOxY* zo^r)52dlElt8G*FIcVM7OA$Uq_$;Eao4&~F#sTRgJ2&j%_6h_iex`DSOgFe)fid?} zQLWVKlwXwWzmj)R`Ehi3=Gh~$i^CXjlZb!oXAAUY1IaJplQZaL&7UKjtTE{YP2Vuh z0!=i2!gHMyG?A8SzbVfn-;OK#S>I5OF})ypUZ!V~9AAig8Tf%6zy!O4nzXX>s%RO) zBOJ@)Y-+oE#cdpE73To6n z>1|H}>i);>&ORBUYWj(bYimDnm=TA9 zU4XT)r@I&V&ads%dSHL&BWCMWDi9n7lq$2z9Oz_VF=?)n=?9PmG=d?e_FPM~byEVz zv8=A3VkiT+qGP1=Ee`iGWP>x!8Ofq4**~N$i@o5t3U~(n`ItKeY4!)&s@C1s`1Ceg z1hMPCELCo3bAX!^+z8=_&hZQEL+B+4Xj?VZq8*&xz8#aqE_J&VLoW$~z!DN9 zxQBrfZdt1USOs3gu} z$_&sGNyv@x6Szc@h76X&rlMW^SMV2=pxz6~T!EB383+qZi#3#zVZCQ^Lt$H(!$C zNW0hb>dr-g%y;*Pw zU-P=7fwp-ULSRi!N4!rOh?JdJ00-u>M-HHI^wZ#l?ho#qrr)23&PEUnJHuj}ud0|{ zx0}vmPh0_`)Jn%2W>32)V&oYU&_E*2I+|K@F6;;D9yS_uV=sz~Z%j9kR9xUGP#$-R(ISorMy5T~Ndi*46PJF(5q_lh-?DuuAwJtE&322@0j~J~r++@lK>-ab zOh;Q}j)-jpN0!4ONbw_4MzW6|2_%Ek9vnunVMvbvF23D0@Xb9_eQ{(dz{@D8Fuot5 zD6l%w;0UwW0R(4utyT;nuxLq~p*&BD8e78PN@ICsFOvNNLW&+vkF{wIowqQ|r3_Mq znms9Z6^B~e<|c%Row!lc59&P>k}#0m)F}8VvXk~e#$o8D2}9h8EiPpof4Q^klMM>? zx&vUtq9w^#NCf%Noo0=I0iDC&{Z!whj`L2TUa6M6_{_Z%uT>m&jj4V*{ENywiMc=X9baTt?;ue0L>fyf(fvf2L++ z+)F;9eZ#R3W|h$iGT$R5lH(N30DFkB1JJ=MgB&ksstcsUam|sMVV_yLj4x0K zaqBS~ggxlA+1Ym~H=6YmLkA#>K3S2GJ{kBB!*=n z>2j^bQ#VbM$+W>%PYU6zb~QZzW%D#P3Gv-#&iXg!EN@P-FGZJQZW^QtyDH99MBkVl z1MTG-d6C?MR!AE3EkwG&P zWP+bE4j_wXunxX2@n2zd5j>V9VKNu72sjHknvhYh$aLh2qznOHqC*~*Vg*o1A|!O;7@%!law|R} zkV*vO^%fXg*V&Ix?yM$W8m&=6xfem>Zhdak0hoJV6w8C(^O+&ugQvP)h3@rWM1S>BB*-nqIzPwV8#tg!9Z4S}+kR`NgT85+hd0N}Z7BoZ%rDmKO*{fLXMM5O4M35#qyIsyeydCE)qL2arG~kJ(t2D zQ&je*f#Ze_3tTq-sQC64my9_ul;o%WbXJRGY(8qCo1fgS!a@c>nHe93lrud36%r}A z=m3x)fx|Aa%ePB3tKrh!9u{)TVC?2G01e{^qhOa*Kukv`_s@Rk@IZ z^Bh$hD%hAEb_@U&7J_8YJ{xx6C z>XVsgS5kB6zlr)2mnk>vb1BS<^gdDnNsi`A%PcgTT;YypSvS7A`o;jkb$?IPnqlLa3^Vm*&8(x#XPh}*MnE;F_U5;OmmY1vgmA1 zo{cK=Lw8jZK!Y(EXIU!!lS!T~>TzqMd9g!ADO3;A1vC+}Op+g1zHdfkLK=Th`Txkg z&X1a^7`|6%t@F2fY`~`1DqQ(mAyr(XH6HRamj0yZ!Lo*R)!VT|%|Ze7+$?Ye?g9`P zWbT&(Q;1fuA*=}Rnt91Lwt}Xhd3PX2%n=Xq$uCRrJWvws^Q|E5b?XA38#yPc=q&u% z^T~!-$a-iP3z!T+(#U-h#RvAPVcbjmxCb$I)k)hRjN_4=h;*`-#Y8WP8S5mfbw-xh z%VJVAtYiU97&+E~yO*rK?6q#mDEA3tLt6wwqy@rr>RgU&#_M0GrA)jIIXJH<`~G07 z?+3-x_W8f~>;Lp{w2#e^jD*XfcEZSYo&3|jSZO2_7(SMdj#vQ*PY?$4eAWYEw|Nm6 z#JYSYPG7f8M@m|JJuk-Q&kzRU|y>mL_%l9dBO5)`nCn)nBZF2c)yQ?2AFKIvAobRAj6(O>YDekMM?3UJ!>YO!)AY` zi&m%0tl=VOh-{YQ^o$>q2&xcW(gkmL=!Zy|{Sx{p|3retgcSXyA@t3t(pdr{^lDeLl zpL1kqvfB?e^L1flxQ|@(QYxZ#K~tjvxn$awf$?ioFkl|MZpLYVh_H;!On-q09XRW} z?2Gj{$_LfYUAn{Erm`Vj^}@8Z?r0o*)c}Sn{7wFH;x!B#&pi)HlOhBa${r-`MkVFVK20P0~rWg032?q(|f>xg2~t6J}|ov ze9jb(?!vlj<)K!C3C6}#0M~!nJ^Rg}AOKvF*bN+@UoI!&JSm*rs4e}uVCu_i>LY`Ig`L>cEsC#fOoO`#8=!PTtDZGl?>2PwQvN7^F!uT`KJPJ=x7)o zFDY+8_4LOchyU8%nL$jGjW>pCU>`%4h)WY+B~9XC@C&^x4U8KJ2^4TraT|gP=x#)ti&TFrRgF%>MvKosGs1q#M+i)hfC|?RE0SBn1j#)$qkt@|E7xarrUs=f;m2 zdL;m@9k|nAxo;32N5)P;+r@WbL_3`Yen)=&qsDIx8Xtd|MxeVSEm%F-hk|S#YAh^% zI4vCV`fQRVv^N75jja9Brmo624T4|LE%-izq8}huMxhF{9Kg<27PQmsTb(Mt4-(pY z({X2NiwX`x;^7N#44p8&cN5xjX`5I9*$}it`SDP+r{>@cJDOlzDLTGl3xs}ZH86Fb zeE>dVH*8d`zt61yN$d)y5Wn^90Vz+>iv88v3E4(WiaN`QF(& zYiCm*o$oC}qhYgeA@fM$3;xplh9~l-W&{*gi90c7Z~R2!iqXAaPa}@r-LJ;7X8*JP z`>(Ft+qG%RjR$E!m-pISwS*yq*^na90z4qtXd#%0K`u!dXdhUV>Fr(*ai+<@#MJo&~=QCM;62RA!(guL1J$DaO4MZ3kyHVA8ZC9J3d_0e0U_3XCnZ_VX$+olZ{_==P>@i>F5*5oU31|*MxW0kg z8wcjnGw5=5|0f7csgBe#_!olgi|Q?4?*`)>HxsRxrK>wik>6{Zeu6VRHWTce`RGo?VUW#> zecbm8Q=;woz+J83=ERg^S9*Sry8_y4>6LC9JK-Zbxo$ZkuKJ+(>Q4{cP?ClzKvDUr zW_r$tK0T6NP`QrV;-MVUv#J#soN`(f&W#!sq4(c@7-(FmfHlWG=w7;PNwq8UZMDyB zobhRPpCbq34TAfV`pk&lRJ3i-MqaGfFwC@hhV(u9jXSQtc4om@rs!x?eJpM2eC2J> zBc1YlcxY`}O=)K0?E0YIwdk)6M-#mKcrt;}bA}KAJznD6V(7RrCdSWQF51gss9Rc5 z5s2p??xd^nzNy2GspaI%b%_{0j`?BkHk?uNG|5aw^76Qax3>-6091GKSo?1EkhwT( zg=Iv&yCsc@wmmhUe|^{X(SKCc6WsYm=||>6a5)L7J%$7dlo8eFZ5n0t|6=-*eiSRP zJB%m}>Yh53U+W`ZQGV9ZzKU?w9L62>@gZN{Vb3i#he^%+zH=X{{IiaB!r!8$xd2|a zghbNR(7CT<8ubI-7rE;qI|?Krm+#A8;Dq8bL!Y*1S?TvSG<7brZ{%>1q{{`BXWhvL z#>|_I0NtvevqJyYw;~MGIA0^jFPgb44h{rY8y~+W%*W(TIRj&pvF`{(gYy}c7fXO+ zlz34{YP9M3z+|~#g)24AYvROi5@jRCK!dLq&AIo{=jLEdr{P+Xr9AY({b9MI+8YgYXrNUHE9SH@IX%zCbhixq<7A&z6&y`htOP zLnrZ5H<_FehcA_OviUTZY8ks>7*0-o{l1=;Y=bh$$mP?!G@%VlUz{DnHwd8K#Eo$h z+t2mr#-NqDiW$u)L=B8N0}W{G^&vRfVIoMtJ`Bw%Z(u)(jjN-O(V5{+Y1k4kwaQB+(XIY>}c1rv+)h39c%ea%hOx--nw)AFh%etd$_rh39TX{*shT)7Vv6n zhW(bW1@D|73YaIDX%{6+IL|^O_56i;k~|*e@srTksM$JCbeX5BX)=|${nnLSp^I}M zfymam7}2!s@yVUNS{86glMKEad6|a5))~@11Gg9%5S^r(PfMB?OfzJC26ne_G>wA& zHqlvPH_kMYwXeI`?fD%VKG_Flc%wFe0q3g0hmfXOsIvt+n>WfP{)xw~ed@CW8Cett zep_epM_I&2ulH_w3lS-0OT5H2P}@3N$O>y&XdhwEp^un+Z&MjlKTf?KQCsJUhCJfj zddyb^4-Z7d$mF88({ZMFS`YxwT2)Ei&%j>!vcNfgsFw~VFXQz3Wg7-RzWqmQOCB!_Qtfsg>bK3$ zE(T}Xc7*)-k(X$X@=(8S!R4Up#X!FVUKXW+&J$Yy_&cv&jbi`!z}(|InJkTj0h@l{ z#5lz%aEcS%jAL{a)xW7NIbFBe71zo2f1j=K@8o#3EhDIVaV{nCtQw9JIb^Q!(5vMSdCXKuj0uvn^fmn_nIS*0^ts{qzdo;L zEsF#F!_Yv<-?{Qcswjf^b9C_;A#9(} z`@pQLH;LPOO71pqyQv)~8aIMR$*85SnlNFfGbZeDP6l&?fkoQ=qZ}BH7}C=$zL^tj z%X?S{8(75)#Q)3-1xpH!e{9CfVMqXbNMmow+#E|ZX_yF}8>dqua?fPbl!k`i~qsZJd1xbDcd(26a3<5Jh>vM7(|C+Wzp&?+rD0$ibm+Hg26xIrX%(PcWhetFP0~Syeb9+f5=K)l@}Mv3(ikzb1A%67>Q4MMG=}EIKo9Kkffr^|lOnlM z!IMzig9kn#)eU|VgBcROG(Seu%FQAlcdWzFKtF%4n?5qLGAh%HTY{A&3m@S+K1<87M!SXHIoy-)TF=nMZcG zcBj(5e7G;Y<{;&SnHGXD96oF2g;8_DcNjd+6@RQ`UOs0HK^A4&of<224-QeOfR4iR zXSpL+=Z^Z?d;YxJ*e>vBfBjheJ~ys zpU-Q;wFV6KrnITNIh+t?%Hf0DCrzMRV!T}bOM(FvM zgu~0@UA{f~)eG23L>4n$0nQ&;)-S#%-kUphvVpO_YYGtEv8zJ2r={g7-_&Y>Ac?x7 z)gjmPX2LYZm%VeyvNM8rsEMO+0QbEmd)gH5LF0z|dk=`X58Y}cqB)jDdqV;cV%bYz zQY~*>Eze<5aG9r5Y*))Fn zVZlIfZCCHq*|;Wh^W(^CL*?E8?-|6v~bejh7FLQD<&X?c z{Aq>WCUIXE2GQ}kF5~u1<%ZYga${S*T_@v@yYFq1^rE@{64T6Hw1U*uK5Ywd&MlM_ zFmEf%mNxnTJi6B0=t{1@BQ7*K7 zUS^9-Hg8l@+QwR-Of)&NrMG%8;GXHH-&-@`cvSSz_!72ma8}riZgNB{a!ayXvO`2> z06##$zt3ee=*chzS$5pZ#=*tmj41CK(U^b!ufBSvxdF$ZRZUl~!8eJ6ki!U$04EEm z3u9@@7HtVq6-|>Pym#OdLA&-skqKs#@`97B^TFAbdAA}};(@)f$=H6#Z7}eb%}%ze zm?M8Y{ux@MH+dp>mji96db7a#hFapjnHHA?j?XSj4OuXYpNM1_rz-*r-t%a)JMSR) zF>eY4(%P&1@w}=Yb72qV0I=A!dx6+HmNl)8L)$TY!swe_^|Y;6Vq1ffVBa+xEa!5d z$RS`+FOHE*_P9|eRWd*02k!4V{_80}I61Hpp_dncWUQ#2CYDqVP!s7w{uvmlii}3K zu|(!&Pr=8DI%2Qjf4KlSF{a>hTUBd0_jIMzTI{$pMbo_2o$Po-l`Zqf=P!QzgIz_x z5cfyl?bTDhb3~*!?#=^kaB#>1=8i~&=Pr;{Yxt8*3b1+IZ|(Z|N6$YZy+!w@Os9l@ z@(I6p*GmVBb8~BwHu(Z){50gW_7}FyhGYI%R*wM0V&U8ullJ#Mqk0xpHE^7k&;O(b z;wf2Tq-D??puh5m;>W*cSLKGePcff{neSeira0nc)=@ZcvT!{amR(Jc=0(~2AOGs= z$G^%x7@O(=PU6EZ#1Y2&Nn*X zK_(KtSF4}=Fse8GJ|b6vGI$X|x)aR6O(bEaVX*wF}5(XvaDx>xMLTuqg1t9?cN zbtYY5-_^NZ4L*{Z(eKH+(B^;+J6yD}?Cb~H0UlVr?+&EjkcD%|$Ne;|7{kaP3poGl z-E9vx8zvH1R1b`*S1meP)JgMDhh5$?+MD`K>s8a-E;mNyXrF&;udqTbs^(fJ+Pvay zD*!T22EuIUWQY};>MurE)3v=WH0mKoC zpv^_qCG)Z(#gdFIdyC_3o}1oi?x6CQ>+7jj?|MB!2KH0{b_hEwPiO$#(ayj@+}yJW zg99YEKN24H!p(@021av9Z-!`SUBR}6SdMAWp(^2W2WxkG#^HZT4^US5J}4@}zLYn}Gn;%?N5^j5Vz;|1e&sP1F6Y3C9JS!$}y@cQ2G zt&N=DjDSsXjH-0JGe4s&zrkJj!T4Lz+NRL4CZ z<q_hIp*ED+;(tvP@eNEdmyV)^yWPO7Ol_h zp8)L6x>db2T~SlTTcVCY55b!RZ6`lM{aL98ZY^yGFj6aeJ+a`7s~K2-@PVd4z@AQ) z=&~)y4#Vtdj!KaU#Xz$i--XjF)>y8$9^H5G$!B-i9jX&ezGF@!d)RK^&wfyr>yMHO zI^oTv!FuAN&XGqq6Nl@b7*yXQ-%J_}Nj>jt(#E5-ncQ~XOq&d8eN9<%EA3X%tWwS> zs04m;I5o*HBFyR?Zj8&E(7ZxOESCgMC~dz;Zvh2&nqnjEFJp3AjJjaRCWm zBATqpjjSHc0K;&|x3}~%q=AoQR%~!qWs}`30D|4l z2A~l`%kOb)SRL*-D47r0*0_7a?JVh0P~8msif}^#aRxyOAKC@tnf~JQ<b<+vo68CV>%V@^=YQqAFN#%TV0sbo_u66hR74I1zSEol^4%2gTF^_WvS^j90I}up`8wmd zP42&JIKfD`m16Hm(v`(SIdvSD&Bw}s4YHvK{cF8^T_2(T{ z&~l#L)bHQ;;M-x?Z-nD_1Y$ox)!(Q0?tMhM3xJ<`q;*>Cefl17>z)gS991I18D|oJ zhJlmw8lDOWNA*2gse9G!BRlzC=-S75tV=|UC(1gt3yYY5EqfU zA-n2ywJyUytj1;dx+y(Gzbn;6LjdPI;Pl@o_sjzjQ3>oQ#<2LF2Lhw_C}2Umz{Ee zU1lCg01pT2(-h>>g5thUNf>_YQSf)xP zg>DQ#BwbceU+um>p%GPo}#f=cYMzoyQdfldV9hiLfmhH|hRLF;X`B|qx zG@?ob0E9jIYh?MF8QY|JyL^LbO>4}Nl*=V4YIhpuqEAt@(Bayu!cup>dr^Ggkm7tS zRY!Rk)(`i%dH3#(BT|5{fn%gMEtS-~c~KUC8cB6z0J=9zTz9?^IB5>CdLsf6s{XQ= zh^vGep9TQ` z22dzR-;|4+=ZhI>cWmAuz*TX>onj3X7@Ba8Ksdk18W|*L&x4C`iR0v^#aqCw?f>xhn zL4bjnSVjGEhUgpgWZW}cc&_yy{41|s@d*wGYYR38Yhg7XX~|!tT6LSQmX{sARCzo7 zPKkm>b7qfYNRO9#KhV;5+?rqVwF8a^gC*^y_}61BArN$49q}p7+)>r( zFR6N8pEz^UI7m&kvmOlDkMM8soCivo)I3RyxJ*|(a6ojrhND?deccrOFa8>#nsMJ9 zA^w@-NfDmZMMB=ffb?=x2>r#COGb!NAW8|NzOS>McsI6%^-2jAn^ZUqjI2123WrVw z7WqR*-yMpA|F6Hn^x(?6@&kX)%8q&2pl5%bKCx&-1&&ihX&Bmn-HY{8c-T)wrqt}r z_enzPN*Y?f^If+FV_UvjfjL+sV;F#p(Zjxq7fq(B&T1lcjbl3w`%Z|Z-vWC$ccf{F zFyCp9^3hdddp$H)-=j$|OkU~H*a77@*+>-w`xhI8-T=DVd>9^ce`Eiud64B1e=cD-TOG;3Mhccvdo6*F3p!Now|Z8`E- ze#)2V&d{Kq3s(OqralO-lpXTgL9bC54(qV=E45*iJ0cDi5;4pQD2>DkP1iwKWKbmDty-T7N>1Lym9K#Xt$})?HOkVD{xJhXFqfu6$~z zlMYVj#l}J#@7lwz6u6i5qj^hDZq_l0Oy(%kRRrp#u#OBh%x(S-T^O2WM&2p?8inD! z*jOUm+|epVf0=1IK>E3T<@{bU?>9pd-JNOQPF>T0EX-}b&nH!tuXJz*PofO}M!RB^ zPHVs_luvyh4NGK@a;<>iW)BCZvp=tOXw-LTtjGM{0j^xtXgGEu3O9`7-BGc3FhJM) z<0|t-b1E9)3At)+ewg($ja$mxZ;k;1eG_T&)2# zr{iFY!>+2xzT}KPKLhZ>wq^>_e4WLlk~V6W}jxhN&@kQR(9i#v7r zu02-eV+A!82x44Dekge?nls!!8fe(?BSl>qfwDdIyi-i5iAlV&gX0e&M zM8v?pqP$C{ljXkChZ8r7?H_-nJ9B{K<7hY0oZqLxvvL=Cy&y}fEUUgOdOg}LQ!vR1 z$52$nx7~Y6^S-ToNB`q;;G&I7ESemMC{%rE7Y{zNX@aUlBj<>T=p_8I6{c7HG(NehyLbJDl_I|t`-_^t6mabpC8gVR!@ zh1zeCpLQ%9U~K?4x!fYYQ5~N04!#;)3yR@;S~UXz^M;{+PYZBFCi+_+My6l^+q-JH z)rsSK;0R^(GYq18+Qj0FLF&n{djLGJz0D=^05>8aFy-_BCJw#y9{2q?2!>guvEayD zJv^u-cuq(>68c`KlhfxQVEO_p(&F>&NH`FPeHZD1ETPJHKKL(!J6vM6z$OF?FZK07 zZeGv=FNJX5^^qw~@5zKuKrrszS^xcaw5Q2dZV*oLt2q`sB@|Z6vRha*5O8p@pSIl& z-e7y@V`sU?_57VvF!Cc9fytz`Xwx{uv+H>7>Uqkit!mFr(^>3XzRT<5JO$u$TkG7F z1srd?w%Juzo^$p?-ZW~(E?<`^cDSIWS^#rr-!|%MG4Ip?#T4baTW;YeHY;q}u(P=C zDw;*NsWb@EZ7@OhBVrHMzfuI`m+b)PpJkrD+OfV(nPW_Vaa{4Kc;ZE=wE27> zb8i*vk6B{EX=FEL4s~d^zU1N^u4h4TeSN7nW`0R7o1P(2nmPL=9OEid+8bOi^mGbt z;0a|-Fy?DX8MlF>6N-v*bc{%mvKKm_U-Ny%mrp{5Frrf-UHOsvsOlaCI`rv@k*7{J zTWqtg5bDecMM^jTKS1%Nl~(vmOo;z<2!%Rx0%;drM(3aGl$~=E8o2JjV=1xG!Xe>K z7(d2X3q4s7pPyyPwCso-2PgP;W2kpcS6qUggfkB;Iii_N(J1^YJ$_;$5UTmC)v;tB zbBKWXf!5rHtN>Dr@!bi26)Z!86NEyCF_Dyrq%k{4>TE<$5!!m7`xli|hHa(PpNdFD z#F+3SoAlxm_??=rg#+!q$>Y7^@Pu+QFB!8fw*EE4g9hDRFt&|SPYcSEvWBBkRx4r0 zN(^@n#lE9`s?3kA-Tz66$O34Jl8qoBs6WBgfp(X~4J>{5lT1WC7SF$fxHD#W5OI^Q zI3}bZJ7nM01(mP{%xF;qxZMk52G^E@P=T8`a zAR^6QqM=rM1Q>H*!~r}Rv>K`>$BUyZ^G5?Q?md4#5F?e0uh$L**{Y-g0aktu;y?V! zWAsF0gy=5dn<3(rG-Of;(!}?yU;g0LD>n8%v_;d>{z-D7p&2jb4`FuHpJ5@}ZFQu+ z{17cEM4XANuHN4AFPieWrE8GEyEt6g7yh4L$s zuFyRaSca*%7XY7#0InuDrvHek5+rA4!Oxb44mYz@Lf|m-Mw-fF*MbW!JaUz>;n~GX zWW-jl;Es$hG3OZ^O@t&CDGHlig&6vFn-|(00(AnUS{7QnF2@O9x2GkE64Ct3&kd|d zc!W^vNl0K#h+imG*GK}-L5;JFG1F>zUiHoPH~~KnEUbN+a${Nb`TGQ^C1E{^v1|sb za*ch_oI^16fMsA^j0`?a;G-kKMHBW@?Bc^SHzobAII04*V-izk%NKnjszhXsmo1Uc zo$2UUXUl9|=9#oWo-Hw!p9w!M%E*mi{d}J7+X^q?a7hN*0na&+wa9k0rH&w&*i*lB zyL_FS^rM4qpzk^5xjIm1cI*62jZ+#DxV_tl~JT zovD)BQ}0AH-KpAdI$A@4fNM1s3}4!fH&mlyo9i57=_y`-1AO@NJ))>>@H@3oaw`xq zuN8PQO4$FN-*;<(gETVn4izmZ7NTKuzM7`)YAT&N?XMwHykRsA@>AY+7I;7^d#ko8 z*D1$$gVaZ{Blf7hfBuq8V2id^>YQEPA(}+z8Qof@cs(brrujw_g37Yr+DrS+S<`yJ z(;^#}l)`*-nBm2s0MT5qqo@Qea3-7h$;wr(AmJ#kWw#W`>SXRHMu}dV{TT_ zs*3Cfb#AQ30zd?X{fM6Jix^$Q#$a(D#=ESjC76VGb@aii&8VtNV{)) z2kPSnL)zC3KAxj>j&?hFXQ-T9Qd7qc;&CB48x_@3`U3NplP7)mxFF#HAxO8t;-el5 zXy-J1>rRXIqOs@*RbgTo_~DCdTxV%-fk#YAsgF15C|6$MVS+t&)U~8mlG3&A%5niu zENa8}1%{jI5}1z7R#QGV)_<(euOm{#VQ1qB@WIkpk(TT_mg71BJ4?sqrbhC9qN#q$> z!gv_5b7L?(-qVcGD*`@s4e{jn7p9)*sdkb8lxQ=Q1Jv1rR@$R6jafq>Isfweze%|#b!ZR^Pl}>c z!~6wPp}P*Qj8#bA3)T|kJJbYdLwM11b6kV zja3Y%!o39hQ|hRyqIcZ)eCej%Nz@1mueB|5bVmErs=@IZHOsqCApi}Y2oTc5ici6g z+k9vi6r^%Rt=ik48n#M4JLc|byZLCvj#@o})NWDb3=pxUxqvzWgZIu#xP`5KCs@?* zsQlD?a&RtwYZfG=d=>N>p>5UnvHHmuKmI`hCKxDGB>1<Vtis%ZekFR=|P7)6g@4FQ!zabWg&6TFM^6vRA{XW(7az3YH--^WAF4d8?0(EE#xIeRd+IA35_0U{S`=E_4ehJAX65XkN{_|P)cPFd7VyJQZ0YSShyoE2b|2_UPwN*m zT6PvwIa^iGhC+MJ#?&-6eGW*xBW%jPFU5S+LdbUA9u!~aw@{{a_CUtW4Tk*v1u5Fh zx!-!JpWSgUqZ0MDT8;XOy+-fB44L!E56{50IypdBqtxB1D%X;jhDEa&4$~;{xpir5 z)l6H%+^>(oTB@K-U=TuGNr0b9qxv$~VBa?Rk*l-HOVW0!GSVxQT(#SxI^rS}Y^8^y z+soAL=c3MPzui-#YPcnUF7XbOtGGAd5!#DsL zBK=1?MCODst@qG4cu%UPDdGSodFWfLyHPc^wBt3fcq9!}F4BXLCZOdx&+X>7#pXcW(yFT(K0S*i9w~(I1d`*#`d>dVc&DV-faXtba}cG2XjxWvu5h#r z5$3ds=JZzX`HCYkh^tPiHqeN1)C6^ueK$U4h!c0n9QMiiexe7MW)2eA_mLY8nS*KO zxXU?r#D~$1bA+ro={j-K z?_rQw2ee(yFWB4H@@IXEr=35UIKoQ|-6%bnX8+_blWGM# zz0wv~(~>khJ2$_F52H`xj{up>T)CUtE9N5wq86+UKnT@L3%cm)9nfo3+v-45oPAk* z%>=BUN0q+7{vZzeSzro38T->w)_$mBLIa^ALuy5nmO zWiIMz|GOzslJ`|a(!P%*`o3YT9zc%(ewI|FRd-nAHHwS`Z2YG1R{R>ra!RoMRd(;S z2r;o-sa~&ntKI<(?!AN?>_(fe~YYT^7ixr!&rSUMQ^ZQQX5-xI%0!z8ixV>$-m` z^nEJMns)rnO3~5y7pu-d@%?rEFsn7F4ahitEK~;^;sqQj5kN2#&K~&bH>>M$U3R3R z%A!h@Ua{*32E0`Kc1mZnU7F2AlgY{snD8jXndTPu2JKk1;;bqhQ=aWMKa)~n4V30& z(yMpXWv#B{ZEy(4HNcBt@QAd4dD)LxbViOK>}q3+ms@jHp5{~6@Tx~3ivhS6he9mv zMos>QzchBVV$(*e$W)X*K3$e0>rf&G#;;CBoPF7x= zW}-u-w2(R@-JBVbKq(K06khE;snMjAz?*&Hg?G%4cn~`E2Ck9QB7HB=?qsROid?VJ zo9l6S10_0==xaKG+CwVOR!+?9x5>Ql`0hH{3CA}I;DVP~zUPcg1EY!=zaostWy}3& z`UQtA_7wq@+eJ+@dAsR|BuxYk0yP-XcxDsVA~=-E+Z0`^#YO+SvuOeF?@9l=IFV+Z z)wTRF6R771^IMMo7u7p?kB0M**Ew17^crfn{b|z!ROtYZ6Pu}1K#c-QNH5V9@hpE# zEE@FNTxo0KlfX4@S!2O|Ft3U~PmXe1i$hm618^szRB(VGuQxVzjxVSPdb{;LzSH>lnz6+jrWeQGT z{t!38942J>>6qCS`h4%!r#&o#t0QnR|K?wWvqBRu6KV%Pw*1kGLsM}usY*M`UMMuU zGU;DlbX?yR_!vL2g3+Sm_vB?LldXjGT9E+ZxM=4j$w&51ok6Ns0c3e|+1o*o=qjXE zFj{b^=X>ILcHo=8@aMwDr42ijz4f!{7qeCWVgW=wC)J38Ku`b7T7Ku%E1K?`4%a*; zpi0$9ilFqjud#aKgk-Jww{-;P(bfsWl+>iiNs@bJ2DWJ_qu+@2POWpXS|JfFA%1|< zpL=R|7}{}+gF8El6H5-=5AZO^LeB~BQy*Nmen8Uf#7!;IQD9Y4rpNUNAUkprDH4Sbve#~=-Loz%BTVR&TGc7%w%d(g1bN8d@T3a8(+=P zUHXnj(fZrJaQl=EqzOHVNPXq3%|wVZ%TVuTnhF~hh-8ib?gN9-wH&F*`?Bu_G|xCv zlcroamNVkyl7M(UF&0^?Lmv#ul~D1W-vP3awb;AzZ+09<(21&VE-P1<~|w_-o>wJ;AfKO8Vbl%{nW+&6>G2QCj|L>fV}vuMsYCk4ta z{K9MA>;Q-cW###Y;1{sh`uFbnAJnDVIs3CM&ZBMJfpzOqIaNoJ;MQFu#0b9>xZ<6q zVto3oDmQ9hIg96Chi}01uOAM;6$F%$94P2;&yU4L)*_>pKJdP6Y6Vnp`*7Yo|3hH5 z(l%QFjPd!0hh_(5AAiFI@x(2d3WFwc01h1A>C*Fkjw^&lgZzCwPan;Dk#Z&E5Rv&NTQpl!tuZR5)69H+qfE3D?b_O|jQx{&bD> zYjV*UFhvkbcjDj9x_=83t-WuLjD zd{w*18K#GHAhpBg5bc!>s34Aj*kCVsU?X=moQIBrv-UNTNYQ_a z>?cxEi=X_>W>?HA<}C7Nr;MC1F<#WVSyjU$w69KNJX8mAxD(}3@x#JWd^ShS1tcUgzw&In_Y22;< z`~!2I4mj-{yDT9B09vy?ZN%BRgL`k>q`{N;9Vumnz3SkqXY)~kme3Z=`U?L_?xwRU z!9%=iws1wn!G@jpl5Ed{W8NOnNBJ^esXY$Ou+JfOQ(R6Vgpai+G8TgjP-ue!sO&|I zNNYE6Tx&0cT-IX=iq?8HX^UZB<stFd%6U_5H*=jA^?@XO~X4}4JU>)C*mA z8n+kN)k(uxBF+HKydiKh01Y&A+B!OTCY6md%SZafwsdfjqrLBeP+L6Z3)N1$=CP1a zEInv1R$$VihFL>*INzLfHTFx~yuUOZCoO677O~7mfKhX#L#~eeB>RuP)4z^AAMZXV z#kwU8pr)0MfwPKjLrasqnDTj8bNEYEjm{QdKiTrf=zdYpoFt04Px1dmc%?11+9L*zox_xJ)At$!}_h0`1?W{FQ z4RU&av~;r5l;bqT$SxJgrfpf@`CRcQe|%omKlx2~brj_$?`W&g_VhF@zL^~{WpTi^ zE{>e7C^P8mq-oKf%;$=7yy;#mJM?ds9l;*&Xe%2Z=>qK1>~DF2y;Y4W;<}ny+6O7M zR3seeg-z&d5?t+u;LhR8L|#xy<^!BnaHcj%hvTgh+(;68izA=g$6G>G?Sto9YGX*5 zaR3vJ&pj@iieY)NLA8ae;w2D=fG+EotRBa%`yysdf#hA4(2Q$-arH=IB+S ziT19R8@@-gsU|=?D`40RMYHiQRNVoHzID;TC=?i_3(L2EwbhY#bvAkzok4>$L=oFw zjM#0V`VPPnu8STB()+mU;O2P0-;2QAaeK^#C_Dh&xQU^4sv4$R)nBq)ZFv}6n_Sax z(ick(b;`y}Y1v_BhAk&o;v zW0Bri8(*kcEEP-4x=1s0pe;wYAVHd5eG}Y^mFU{k^sbE3h3M;N=gR}3*TTfCg}4`x`%p7MlJIKD z;T?0}3XjvZMexNnIMyp+6820dy(87hW@N$}`{LCWUu;D$l&lxR^5XY!rpmVKb*Hp0{H zjr9R4XE;k77#b|`46;>ESAHT}1eW%VI+@4p*KtkAJYVQ+@LCI1loYY)m3hya*yA4b7 zB3nvhpV#n->o!}Ri&4%2RdnXS*u1U=o9Q60C=|C#Ru{`g^Ex+EJOQoAUCj7m~ zP&gVGL+~$2n8U={Aw?IusJ6(3sJ)N0~+dlDn1tsUAETHa@EdwsH zy>9=h03>wYZpo%9mX}#VN4-!o+3 zmCcfDS~9MWqXE6z(948+%Fo1l7vrDN@(4FPyTXBetE&v4w6-ek8euw@qYvmrva_+w z$P(4iOhHU47cwv7|M(70m|?KvUIvS$4zhgP&{7On#o`FN0t9NH#(pV!{7S;cu^fAl-m*IuNyh zhTsPp^Xoqs|5AaIf(8%~hJ6W;g$H^yr!+pkdxe0>B%Sm4jD+IVAU$uXfenD`;E)ZuLZ_?jpQoWhfamtyy<|IYR@Z zdB++^f{QJE^N#1P=;lO}>p3qfIUEglJLpeY;*o9RMpTt=IE#im{vsujH` za8Fx5bvdAowvUCh6LeyuF^~#orh;EPq%)DHyunP_Vj}ic?59bJD#l+Y@-@8!>PSn^ z3Ma8A;YiL`jJt^Ycc<9zp;?@r(cJF88=C7pR;|LdHqBau2^MX&sb;_0MOi#O6)dUN zsC5i0io7eEbX&k<+puri{G9Kc=25jJvlZj70yvA{E7s)6&_4i1I?bJs!6WH+MO~Dm zyreLZ;@})A&OyywOOEVj4q#0!b9<+w-@pI&QQCfGlua ztP!rn5NCa19(TwjPM@|zKl|1d zh#l$67boPn2Y>jBuU@q{ec&qq#tldKBkMAPG13STCExHhYG3q!S>mm3gT|{7a_;^n z1>=Z7X{yGKHuVxO@T1}N7A|v5#~n(XA0=Fzu^S(Ah2Xfl*p>F;;rWO4ZqH9~u`Bkr zC3i&Q0x@y;NP`lRR&+QQlQM#_RA*Bio}Rxb)f2v`796!VsRN?`DrP3H;6ZZMWXhyt zEVkVd-e^NPGtP2b^VZ|kzN}W<0}Y~N>WZxxsJ@@rU0I%0+uA?=fvWeNKdWOYR(o zudMq9>4xBL;X=}MlqP*Au!+DkIJEWimw9=odF4fgxz&ZiP+~|0ULE*J^-R^<7 z$K5Je)X-gr)CSZd0g8&F1pe^TPrxcaCE&!J`UD?|H zy~{KVG|NowCgMVaGz!=McFR$pFA2M>jjR6)Vv~KIEx3~jaE;edIN?Ac4%>!lD^h(j>+94Iw=)W7_xJboU#GnAYS{hzDAQ%HABEYQLa$!L-<<4AQ>JzCh#HP+=HHEw86# zEojTDaO$HDn*yGd6G>zVZ?7p2sgKtB`aw*$PfJE!cH zfGz8PBQz&XjFhf+NILFnR#m-*9u2fsdDc8R&2oD>_rJU_0DF;sT%DY1aRL$s zU&OJ~OFo>)*jkzA>^|tBzxxJkNP#Nzx@*j@2zWmF;nRkiE&mU3a@^-y!|T1kHP>eN z;DwmIi6gCs!=r9N`ud z@^$L~>z`wWT;ECKzT>tIKVNUj96;;GfB0bxyVzcYMs3Q7K1y~WCL`R4Ra@rKKa!6H0lSU2Fq}_c>d7=l9tp*jKh?= z!+aubl130+t6xhi-#9rLU{pi;ML&Zy<+^I2?S=vW@SJQ-GP~BeqV~xsNryBz?xHuc zqDhQH;-~5W_eh}qB|GA9+E$?z{P41Fhz%=3rNdFbjK&H>L~LMe4pAMjK9F}_T8;7p7{!Q9F4N|qUD;9wK#f4bzoDj5e${kvG=!NFH;RebH z2Z1O#Y^o8~UmtK1@!DdTSP+b7UI=*D6qKYc)(AHWA}0&NgkHul_R`Er!h7$vRTt~l zIHLw(5YadVu?uuk*Y|)bP01rC_5&Y0J8nqbmPGg2Ys0hcWbmU!A`DLI!L$!yfqG#E zs8K&nC~KUetiu^B1XvAx7oKDpW||kqh~tX_ta6?oLRgF&G$&5({nwU;zax`2M%ZJ5 zI7M0!6Do#^4$;&YBOfFIJ@D^iDu>McYEjV2K+AjRL|Mr6vKg(RL6*?w8Ub1-@#7@P z=rc+YzW7Kk>8R^MG#qTCsY_ku`>1J38+*zbP=>fUn98}K8#)24R$+*Mz0gJU7fl0N zbg4M*FbOh5Fi1kvD~^*i1;=faxNu`kq2{DvOeJS7^#v_z)M-?+zr(<6kQy)E#CVjk*<@wBa$B zr}ZNU_U;^T!dfr{;7#7=sNS7{lSf9y)7j*S;fWW-s7&O9oQKl}M_)M%WPu@tw=M!C zY00;Ilf*xICdsEU(gYrvv<)bIKsH6lD?rYAsoXy?nM);y)p3L_cvnCNUvG=cW({!trb-D{ zsia||foaKpY)nia0~p;LrygQl*CJ&(SpO;O{%j*!?sB|^ZEZ=*I>2|ckr1g(#!{Bs z3SPyeT5YJz-2v2kR|Sl?f~6X?twI3ln}#vKyOC3rGMTez`d-%)3rq&$*& z+43bAy#n>5GNeB<25{g`Mg4E|=5R>rzJMrau~_E#v2a$whoO_#pXK5W-<@doyjWcRy8{diE@Sn=h0`yLmzH94)#~lt@3gkY-v3{AsOver?(l*5|9K zw&PT^@2;@Cyf~n6M9D#^`Es%cQf?Xa$~hKG%^Ep)IB=+!MT#FT0C!ko$gUAwz?A|j zv??BHmbtfc7jQgM01k zhA?``{wNnbk74t}0}z#@8l5pzoG`_y<#}bFp~sz_YHg~x>CgqO+8;}00Rc4PUE^>D zt3_EM+I-qSJ6cim#sZNIGy`lD)I|!^ywgrP(Qb)z72MlE(e-6J0+MZ;U(`Uui|Q`r z3-5V)jT=Vw3o*{}Tc_kZ?-pZ*bj`aa40g0g(|`S0-u68PV+ zoL_gUdbg#wBqcL0wh$If6VLhS@1r6=`&+1*!3j)^#B@=aQ zNoKV3vtRq^AOG~9bDRF~XMaNr`Tegx|NCEk{zEQVT0>3zZT|43v!ZEV(N><))VB7| zKdhgBNVWLUpM3eVU-^?SIr~5P0Bt~$zv}aU$aO&Vo!$2NhmXzX`G+O+`qa06_ZRdr zI~%9)q1tl1pCboq`ZU-Ag0@pN3QV{-D8qUFvZ@+B{(wf=Aqz@SF26oK&ND8OXD=krCdosFa%EJ669~y9 zpwk?6>c4W&TTF8K4C6ZF5}rCT4c<+ukw zC?FL0m{z$tG3E$<_-BO+=b>Azs7UvvJ@38E!-;9CEIaZ>=hHN zG+k4WHTUMAfbTeR1NdH)-Fpan@ExX9AWNVFVeJf5AIVZ6l!v%f?Z6R0%5Uk&4W3-+ zf6sOAJe7aCE$uHaZ;;(ZM>lS0&48)zaakrou>qn@{WjDu{WMNf+6` z30uyp&XNeGyMrSz@V5YB;SnzU<-RF+xgDhpz)}-w3kf}2=a0+k@%am|CxgFA7aPVT zk+hXr;D zJ{{p>T1gZG)*Y0!v;mggA=lvh{ERz2aA@1Wbp!y{&ZFVuBw0q4LA>2z1th*4XY$2< zkuOdP3A}q3y#zW8Y7Zi{F9*cCXCE*Sb=K_12%0!ym*A&?XMs}Zj2fQ1p?>rPo?Ns+ zla&D{vz6M=^l&t%Ag2g@<_Fp#EXh8y&VpBeLleA(Qr6Ig#1fNt*gNax>s5!E`y zp)EC6h(?so2U=BK?o^_Iw zrbx;Tq2k}#KL0b4rzE~al4Pz0R=l>!3(|}`+S2#M!I|+kQp)(=LlbBoR-|t6UDZ}8 zz0T}N+hcjjJwO^M6`bgH@}ian&bt>KEdX_)Q^iOHR)7QWXzFHLFr)bHTyM@#P;HSc zy?0X!m&s%{)p$**KZ+m!8qk};NF_-Cp+y}Fm(QGWb5$$&l=7HfKyYs!u~N~bdj5ho zV)f*Z%CiE83MKNWn*t`-qSb}Bycm>@K&S3;-!kQpc_U0~s;ZVxvrs_rO$%Ew6Hg`lovQA@TZOi5m5xHmlu z{1XUoSn(NLP9raYJsH!bQk8sb30Ol?b52K4sGM>jc`R5_fC0t~p^zldV|BGy;O71$ zrwV=eP|A(tBH?UX!N6*^SK_t!avC?pwBK;$K#GF8F;qaG3Y!{OFz6Kn0?*l|8F^^> z7UD7AaC;WR+0tIS==i*8gC&-a)V!#_$hP$PQ-x|fy8_{QdpKe8p;TQn&I_jxnGn@t z`v+J}aA#VQ(KL<=>u-5!ALoP%TItV|05=wc6p6Jf_S8m%`+`HM6_+_9M|f)~)xZ1m zAPH&&xfzh1MtThm{vXH<#a*ez0k}c`<5(W*W)Tv;gdkYv;Clx1x!@3L0sdG(Y!Z83 zD6{~A3onzZzR%C!srJ9UJp^@xq@7gTPU26q(5sLzk$RuS zcfS|7rfRw>%$i}Uh^h(rH>px?G%Lr`a$|>qCvc#t+sBXyX=t)c$_d6@kO)Z(9DrS4 zcftQleLTc-_n+*G$ZqpVKM^-?+6GT6_WQOr3NhtyRk-(EI75cuTPr1AmkPdT4@v)y znT{%(w%QU`;Q)Qn_Yy&5kq)TX@zx9O0V|$GKn5Yzy#)IUeHYSqB;!;-Q)Q%ipUm}% z4ET}=F<*EOY!JwhTg*{)K!at!O-K}2*2R%rsua$uB-+I&Yr;}JMDW9EYnF9>26SwO zyTd!4*doeLXQI|c`&3s5LgmDaHO-q2Lop5CE=ZMY;EhZw7-@v9hzmeH@5F<+ZGPgj zIwwQl#z51ijRS|b7=r|Lq$O=r!ZiUqg059C6Z7_iSFd^yDn^n;#3{PAJs&}mQj{%q zAfghnrNcvE&%lacglfAL=@``8Ph=JXvKBD|xSdC+IVV%38Y4IkxRQ6co*)}|1rZ%K z={-(J4pi_|h@W1|Olo`s#31z;*9t zEpe}A2YYZ`$mB8=8NT}_?Ex%0pjii2@%^G6iEV(*hBh}7v7m3Tzi#^eM;|cLD5ZSM z0o`}bW4`2b)SBHwan!=+<}?OPx75sxhQ7W3rr{$Q1dtuzT_uOJmN_(M&~?Z~lmWeG zE%3G*8xVM;#Mlx7B~ENky?b1&&56hr%M*WGE)|BR!zMh z3)1{~!2GWP5lhBR*^t6$qXs&PRD>U47%q1@Ft>*&GU8iIURuW0So-iK$E4;fz88h| zY3n=No({}L=bTD}!=v&{)a{2NJswNi-b_!^@Ot=I-svEn=9?u@~n)Zg=mlE^5) z0U63cu?-Fl`){vyy5Zy&8E`k?ncNmfo;`IxdvpTpU;hQ%n-`dW)coZRuzZVM(K@?r zyDv5N3W8ig74mLhTFE^rP4xdXf)@dQgf~HO{p(bJjql9&{=H{K_fh{nZJqZ)pJV*Q za@2K`gTg*s#HG<2TJe1C-F zgcD?dPmhB8@U;_0_rYsYm+sTo&UfiWzK>oz34ax{CmryyTljWHNf>2L2ro7#pb1GS zT>ShlY25f7@(-6}TAQMT0vIMK6%*3Pyhc6}>_^B=#RMoJMwv7vyw?_!Kax_{kUE(} zKAZ(nH?EDJ;WHJ3l<09&w?32hbV+~)kOcSfYcR2Aufe$HFLny23nOXsp$9O=dwB zr_>!G*HA{(m0ssTa<~fA?I~w!8R!*IOY1b?-0@u(1c*_7zqx_DX6_TpF+#asD1LWlb8k`q}hNH!)LYO6i9Ef0VVLRV`qcqwBQ zbgK^a`O?>AIB^AN6Sd3ww|^cC9_{R6@OSph71g9rGnke13jU5s$~Y_Ft$%Ij-2&J- ziwf?dPP1cv%>6TmmK-4S%(Q-PDDERa3f z?FwH5#Q1!uO3^^=04q~pOx)|73%e@WOJ~|YH*kJTYA!6x&_zpoZ{vm3-81f;wD*j~ z-RvAdXI{oMt(4%RIYP!p#WclUO2Nu%MYJjaFv)>VQfoNpqXHBUZofTHOTZOX!Mo92 zE^S=hZW_@c7>Bszj>Y{&)(1m5{JzD zEyo~GC8pA;1LDXe4{0mIB`vO0b{zEzAofXyG`o+JfHOqy8|VhOa$SL;U9K)BwMl8e zk6lUay}>i<;c*6;uB5Wj6w)Rnw^t@BZJ9KW`m#J%8?hDNFOBp>4~#gMud*a$SuxGh z?6oZb+GOX{Yc86Uh0GflLF)zY7O=qQWn|$TmTE}Jg+$(clDuZGHd?!BOQ21Ii-CR_ zjEe~zO`NsP`4VW_mRUKIq*4$~{opl?E|&D|`Jg+JbSXC;7sDJghXPLTSaRA~Iq|fd zX4%5_z8*L&&y$PH|31C!40h4Np@r#} z;H_UQl|!5T28nD<%|u!kPkiQKg0By&SLOrF^f!&kiVJ1c9_y-FGb|WF5Lz&rwc8vJ z5ZcW)Up?Y}aAm>I;w)^`yuRQl#o-7DC=fV(*c+eyWmWBNXW!ISceKT2ccWSxCgPd> z|KX4-#JkPy>>3$_i+?O0;i5qX#)^HiRt!n0;|&HNthPGhBkooZWg zs1j}Gq#5Pl-PsgR)UDK2dVazID_<*-!PhG<%HR&E;G8SWEi@XlZp{XHUTnWjUlfOU z7gcr-;B{0LYuC$)lrSe4N%6V!YPr$C86g;<*l8OvA?=nnhifU49+6ALc%w>qx;3># zJ24MdyOro=s?ka)x<2a^S7j=P7V{4m07|I367*8k6P!9fkg-aW1zxw&G!LLa4~Oco zU&8%>{iJBIq{^4@q}_1s7bfk!}n}GQ^Y6NxFULl_<;}99(Z0(HY0b&5}#A;4+R;?ay$Jk%S%T5 z5So_3UUaxxFKxM+MszE@2LP<0jR7e$8kj9Y16^$&fwFpNdO}Ny0Rj=(l26P@YwqfU zKE(($6=%;ZjU^n_6Gfqr0A;aF#l z2W5r{5aG=Oy5SqvKy#qg&5Tz z)ix7m!yY?7@Qlg2RAmcx#gl#ye6paiV(CId&8_%XKF|&kqx)Kb0^?Nyt`DE6E{mEJ zaX7F6m1LPWw7Iv1YI?SGeig|6r?;bf!aU6##8wsnIb?9=Q<3+H8Ir~|iTjv>+Zht! zrN5P-=?c`73}L=spfv_||5QZ!ZA5tXuE-fZXfBFW%XNN!B1>|0y#be5{0JvLd!|q> zXpyF`0FHolyn9-xUBUi=v{k?bQA^^X$l?CgHHxaUB86fqG7J&o&Iv66S%~fUax0^CyFW++v861qLUaKe80^pET$#xQOE6#2KEH)4 zv9N8OY-Xj2oH+E;hz$H8qaT}$v%^KoBjoK=nxDZj+`v@@CPz&_O9Lw%s^$%? zk%hV}WGnYw$q;x!#7LF;E-@MRc2$#UM7Cg)Gept}^4Pm6Ogv`F9o<3pHM??TdD0_A zeHUi5ZF=7P@)a31i3{|xrR*ib9fThDqSWGRHj^tgxp2b?m9yvdJK3J@3~C&60Q5lb z@$Hd1p>O#GiK8U+EN@I8?_cjl$`eR`#8DK)AORR*%9}j%L*vp81+p}ZgY5s~?OkGJ z$+GLP*Ue^I4!~niY#@k0cfAKz-H!j~!S>ig0R}Yiz`)7O$jrDI8IcvAn=h{ofmJQr zBB=&RQ2xk}OqaSvvOpK@RvQgTY*Mx_30NKoGT=dTU=Q?MO%gV2z(WoU@3r?i@yXAv zs&2N(uKRA@JZGQ(IeVY8_gWF4{3q<;w_&9l=3s9eaqHQ!2xcM!-HVrzMh*4EUkf+Z z(0J^kVD>cAR7TL}R!|1q)d^r6^Gc`(FaoQ#wZCrX?GE9cCX2&Q3+yPQ07gWM8hAkn zeh1$yF4={X67+~#ayUrdkU+RukQ9l0r1RQd6)j9XTIGCK#I9moOR8~qWL8J;+c&rv zp%XYSodr%3r`xMJ$`T$?CN&EkT&2PFdvpc+u^LQ@#6)c5@X8@&VWdTv)>DemHFb3v z?v>ik#eVV?t(9Du5^a0aw>LH{qM>vz2>FCE=_M;(ubhZ>wN#ij24`BGhtD?BnGtTF zh76vc!pn1#Au}1ofs)z%aQ&q-WC>7QCh2Jfz&R27xZvm3<*Y_-2r9N|25-o~8Y~^J z-Lfp!Yxt*_Oaa~wrSt&o&} zrkV6uki ztI8bS(4sTV@Oelg-(izz$Pt+w0y253dt9E5V;C|9^CUxTGGszVQ}gZe%Ro0H4pW`O zcz~0E#TJs}h^FmED`Fq5K!(_4$V>*ACTfAJ8fiC;O_&5xEbh!EM}Uim{AiZD@9-m# z8TB+xwEJ^n{l9;Sjw?Q^XczDL6}Bqc-}pD`>OF^6yxi?y$=QUYEA1J}7oCwKuTpWH>Lc8E-|Ka{3P zyyv+}fZYuZ4v{mIZcc{M)LuQ(a^gOMJ=iXR$V6R`A4pyY@NjEQ{k~C)!iWO)7Vs}K z$nxM$BYg+VYaHL0DP!-EhFb9h1W^De^~v*uOG@^srbM$VS9q0*63m%~vWZRhqFmq=N@|gKcNq;$6yC+uB+obbPioh9=+T#Lu|S0QtD$qCx|DUj zYPb0c1R9M(upoYHyJ1E8JX3?vKc8W=+#d=xG-eq1-4-wB`Ov*y!2Rn6=K^-Q)a#U2 z1zawhSNx(SYtBg9s|_MPjVzh8fsd|^M^R)|lyDU61WT@?uWeA)J-biNYdviZ^meotrCeq06I%)5j-HP)3P zWtXNLU`=RfI%sKq3wI^5MJPWaY=<=+)5b6?!pRz^IB zY)14-<^yTf+q^AGv$5%U<$JuZd6V)*#&nmW+zl=<#}R>pC?+`fofmxWSqbB>;G>r%cr`gxcl-;REMWu~-`3%wEIO=G+ z@}IvL0)JtY?GIf`TP>Wn)WgP>-#CJ+t7!p)V57CbSSle#A+RqIAbJ-7St&)B)$TO# z*D^Q~smB@IekrZRU*v`d*8w^t;4eeC2M11!AlDT_vl-9~VXp!8vPT2txYjPm%0JXK zSRVng!x=%NM1mRE;%IO1p4RZ!DHPzlkb$(Ue;Zfi4f`Rnsa&c<%Wgb?M5pZ=wm9an zadgx!L93ctxu{!Q-+Kq-QG{RN2pOpT{C;cVBnOr+j;_UO_P4lu5uedQ?IV3_TaFCPQ5EPy7lz?WFiFVZxQbV$h|PDj$oybPkke zO`8#emQK7zbrE!?W(;QTkt%>K8c{!pdS`D{ye^%pc|oMi!Dv8^t|UY;)c z2?24F)HGPuJ^Xg^6Wl#XW2BwF9iZB21;T9z(QtT*pe1MFBB=&QAteOq)MXDvvl4(L z`rcOnch8XMv~hHZS#s{xK`|^tL)tQ)MEK@M;wup+16P{)cX{8`hy47n!+f6ona+xm zc{i|8wc>=qn2z^ z?jJwOQ{s>~k(YAP+tj7FWYX2Ay7H~{e}08wPnSFP4g)s4XDT&OV)qAJ6JT7a7AUf)S18be!= zP5XSlx~@!!`S-KQ5WRMp79D&5Ht!hui3X)VQ2*cOZI4hGCBCMrJS&J>4TT=BqkO}V zT>mbN=QZi=&xuz0rvg*Uj2F@FZ`ZXF4ZKQjb7|EC$&LpCa5 zx%Kd&rC+e70hE-Ja_XgsEihS*o#TO^$nVHrFaZ^7RWu9w54{hRalonaiI&ow<`)HQ z)SbgjZd6Z#H6OuL^^sce+ocJiL$ z3F+0lcEm)mzVpzROJ>ID$=XBnV}6NErj-I76hFJ_aB*FsX(C6S*8wcGR}w~rM}ZRN zbDUb^6DPwPT@;!`lO*BoK1k9@9{>QU-KypQ`os=QvYknnx|4L=r^}VTZExX&eFE=&J;`p) zhfKUGC3*8uG=_zwms& z`jfuWldms&4F;>sMnb zDfDU5+6u&SRjVJb5K?n`(gpzAe&leV^(#9<486@KP+p$wm#gL#E||ivjb&%1b}jQn zw9gdorZ)@cB5>V__wQ-bsKRYgLVQ;rf4qj_veG<-7~d^O;fI%G4H&-HwvCq z{%CjVRAOY%Ns)h-e$6&rs!t;HXvjoJV+BIi)+m#nYJjFeB+aWY{&$U6a@n^G@&d?7 zb_~L>Mm(&n=I@t9)v=ci4{kUcTrd6US8oqffs{b$pV*`Rv8BqS)gCLUSHKto|NGCv z2ajK*HTfem_K2&jko6oJK(ti&b&S|58o7`ovl0La9DWP*FSsGTVg~!N*2q5_Af1iB zO*~rzaTAOjTsXrLXDSyMIvmS~muR&?FfqWsXfrUkwTr&v05h;ejN;ue3Zz^n z|A8+y+~J!Z>_Z%A+cLOCEGaw^J zaAfNcx!r2km--#V^$eIo`orKz>rHAO0VWuzdSvs6(TsUTw#X3yKqUeawO7`dKb=%P z3CJD?0SKD|`@C76Buc-uD|tN8JUh(SV_aB=26#SjV^arjs5ByY)#GyCx%NZ;0ztm&jiE>qCUkb+VLY)pc}n>Vya zP6l)I$&DuYL1E82_NqS8u)JaOa3Ub5>5B)vH>3A!HmSMCRx<+A6vEi{#ZpLtfPdaU z0KM1YSk(g=x?7t36UWd0Up;q%(u80x|6 zH<{Ed_QjDH?{&1~NUG4_%qur8qjkP$Sjx0!5R&i_1x^j%3Z3`)WY~3d%#hu`3tfw; zQ(8t&>-x$RzuW@#jO^`gF&%gltu?7Z03HEn4PdufPc*<6Xgjs3OleF8LN1*^<3{r@kmQ1VrbHnb+87-97fQ731tb6Y1eil<1;tS?^^$XfkPGSO>wd{ z`qjv@OH;s*QNd4l)zn?r9&o~ejFEPYX7}{{18iZk1CPLZ)4rbav(MMc#+wc2w=#Pg z`9K1-BoK)f{a&7$0Rg;W@gxn0sdk5ypJt8F1Ru!RvcPHjZNpM(WL(fZnCCt&*)NJ{A_{9IYsg`JBD(YwM)f7#TcZB$-TDl$~Z zX{mXQX@q#O=wS8&Yg6aj_7%X(DPv3q>F3C(m&Mp?a7otZ^Jf=lVCE@b3YSxJij562 znER%H(t6o8qLa+^12V*_4$olE~)AeJ_-pyGq^WXpl{q>eW$<~6s^hnzu{ z5LHUn8EqpcQmcM~BE0lk5%>3`m%wk3j9d^>{Uikh*9z#Mw|30%4e-8pSNtU1gsc}u z?6(rM1KgdTqygcz`Y*NsV!`sOj_M~FVlTQTzSY(@unm8bx(8P$khzG*QwgBX05>x) zBxr_07!+hax3$XpOqR<<2iUUP8KR5rhBQdvwB62fQ3Q^d9ZlAG7L4Aot6j8YjN5-E z7Xr+tnQ*Q3Tn5j(*bHcp+UK&MVe|HbnSvHJ3LkPr(?TwGDfsH*lr7q4a)lS$G%fR% zw$Nwt_!oHqy-*yUDJO6*2b8ZF;B$C0S9ozMK)J{N4u|5I!lEmiZ&T;<9PxBWFD8#h zr+6mIMbBwqw7R;T>3m;u=nNIM!rSFsPK9kji|3gf7c+rjc5i1m-xJ{OuvPQ)$#hsQ zs73w@k zI>~V{8f13o2cG%M{C2kBa(;=I?CmUmbg2&=o9B!1E(RZ9@pXCFTJ~R>BF+fjov^dO znM6Ee<@Y9EKvUPB_$3A5@dhO3GP*OET>3aQTMsqkm9X0o83Zru?v=hV(qz-jymHU* z>9}w{aEM~`3Y%|j_p7GZ@<+8t+%Lnb*j@}ac?sbQ#}b2CNWQ^k@xZB$QqRlql2^d_ zquPTs=LiI}^lD9xq!iW7M|pw<;AYnf^y62&?Fl(m1Nf-(Bxgms z5t;fDhnS2-W)2<##QLX+W8iDD^lG7(z02*K*5j;H-_0Z-H?-2}y`u?^AFyjcRgV(S z>Tw3HZ7eFR^ZMX^{#y}&(52jg4IMF zpxK)l75H(?Hx|(u_5n@lIldkihN~m%3y5Gpq`p1v~`t)gj0(M|nC=l2IHNsizc_;O**5NbPUOXQJs$o;N>_mrs%y$uP&Nc9GK|R($ zz?Fqs0X?BHq^^#9ke)BTU|uS=+xc{lTq)JJymSgZ!r)-TWcS@$jb7DN_w=zKHsJE| zY#`$2=01H16LNEE>yqCYhRK*^h!tRmEbDj2KpH@%bWM*?w43oX7L&cep2aOJotL=p z5+4GGb~f*|AH0sjyA)Sq)_u-61h_HBg_mj=MhPIcloSZ=L7E~OWDSN~QXp(a)@)ll zs3mT@Ih7aR1rb6U4B8`o1B2Mv;{uCWOYmMstGv}2vO7QUoY1=O6~b#4Wo_f`ramd- zum*0S#r`Pi0UsYl&OmOsz#ZPb0(Li(4{20!P8)*%G(}(uZJkg59njVe#p5I2;$D*t zcy|P_yH=-mJzgMGS6}u7aN|QnTLG5{>`t}4CQT2#d!?eCy2q?}&jvYVT`AK}uv-Fo z%nL0h9Opf(?y)6>-|M@Wuf8_*g86dIQt2fVd7G&Im|CP^~t2~ePe#G&d`RnyvN zR!jqqI|L^V5E!IGcM|K7rg%rS?Drc+bZmw=oM{hmXprRbUG8dF7s^J=Oz~Mcyo~uA z?QLGH*8GSzs}POemZosYz$vM<)WcERE5-h_$}}=aK}E)XqKKN>75l<&p1wmT>eKft z8o4X8+5;>&jV1%;23Gsk7cc6*WA9q_fC6*l0qc8P9Gtdq)@nI|w7^pUuUd@mD(e62 zPu3CICFquDTF~-a@dI%~(beXZZ?5xt15uwGJdWVY(&T1Xa zvY*v(a!tvygJ@lN6afS%{r|}sQ>lPD&o^5 z*qv%4OkQ#K%L>@_>Z~HuT=O~rRtaH$U5DqG)kQ5X^M7`i&L)EX*E{cw;G!RC{kOQG zm6zmjHn3v_f@eFC=dCI7O7(-Q)dw{)4Iu4HL$T9k8(x{z0b&vnV<=#(OF$eyfcFLO ztw5*fCbQveH3748x_+gvz{Q&mm!kaTzDbW6S7~RDuQIbXf~e9DZ$68bV3t8e=Ku?Sm>=r(1%CJ!X`! zCB8UxwViK(9Vx`9vdHRp4y3^Jq`bsjTBRNpQxb)P`$A}`$G*((YtXn9+dkh&xvF#jPfejCv^&t?AOpV8DDjMpTX_hfb2KX0#F-JytDq>;Bg=Yi%wsZEUyBKI#XB?SdI_~tp#x?ZmlLgM7` z&>B2UBpqTNfZ3-XYdca0u`0DtzAK|+7ePFC2+KscA3u`W%LXCSX9>wFNWit>M7|X} z>wZtlZb9lR-mfJ5+M#s;xE-?K5w3Tiv$`p&etketT)_mm;)&rTlsdYD+MZac_9BDJ zRGy!e?4fT$q)g!5w=X(U8hfazZNKkn!Aa?4B_#e`5<1|lcb#HG^M}m-27c1h4o7G{ zC8U<59Qn3`8Hvy+GDhlMP4ec+!E2t~#Ry>taSgQPUar`pEFb4R53~SEOiDAbPwA5! z>j&Cxq4=r_>mSh-G1)bcnBjUwh}_8#;yA6jKfmmJZW9 zl$AvAW*espQ^<1|;`tItIS(3}uwlvSGd~nT2*Io+`a4Bb>v z^x6fBVG4-!{od|y?=hy|HaVWOW;ue_5%?0rFIM!r?i+FP8YTI!{pgD~Vog2cM1!N8 z^ajmCa9MsKL2dB{5p;7wehiMh&nM`weB~-C^UQPc@(Iav*h4RHN%^56N4ze>cw&#E ztw_M)GjM=|r7%h~MyM}juHYzZcdA=%^CLhf>VC6r1Rgic7(kJ6N&P5|CHB(87LS}@ zu+ZS~s@c?)>Z!0$BZy0;ETG+tp%-bt7w%Z^N~S==Idc_L-<78npZ0ytH|s2x8t7L@ z4H7Lsjp9%=6x#a54URO8e8tyP6#!moXK#g7An;i}9u7jSfg~nRHYkv|I_rh)IFN8q zU6hMznYR|5jdrP_VvHmlMr5VqjX$Mf4|G@;&W87f{~!N~aFo%9|4OYR!A;;=N4NqF z$GlTq?&LBr!wpmQkT>)LKNDzA$vZ>mj-DC+P_Q1x3dEz38B(`*W9s=@f^=bEAXg(1 z5l%&9ldkl6!g8j-_v3&wiRSH%xZTgpT%oVB7F(LBH~Ht0vcBphkU~xQ5xpG z)l3PIG~G?Jgq2vGe*^*dvK#q*4Tr89o<$K05F}V{LOZx~I@r|%)=O6X@X zr%6;df@;d#?1hSh9C`i%aTFzDK(~&MqXQx|ARj z9$R0E4ClZ5Qlil8-o?+C*gX^y_XC#R-gGRtF&zt}YD7Yui;0DAz~ssW2543+O$2K# zQ^}63I4D#&VM5M7Cr|=g? zx&}ff%WaxeKQv;dL!t?Sv!T->Gp~54FY>B4#U8xVp`k|RDQP;}H$84$G8*8AZPp$r ze`$u zPkp(6HT=HrUU6hsS05`2T&S>Y6wt5%^4s*qBO~Df{QDi8$Ia9CDr*6BHPt#*u`56< zKqHZJ41D5JvV;RfaQ$H|_$5R+YgU{|I|Rg9Rj@9f#1MIhla6_VoBq)vWBsuZwLre;s8t#um<{-pZ_)rXSY1A)YHBtp$YzY*A%hIWL-)X!wN?m=)0knJ=}h6#5 z*pLDt?bF9>mn4bq)gciRO;~u2BjdMq7Nsg$e#pvCG7bTn!wwUNeAU!8odn9F;{%Uu zxE+1qZe8Tn(HYr{?jrtB<5JNJ3AGF6-5!b?B+dH3p(~PI*(Fpi!)vr%yILs)AulDZK|CqZ97r z@<*#ZAm|h{&-Xnje?haB)7Zhn1Hbe;E*+Ck--W~KNm=vD19bdK(d;TWlyg2$`vZq} z^i9tlgQ!|irmTAmN-gu>^b7j>v8t_qYNDM=wa813hM*OXdn1K#@{Y8NjWxuYahMeK z&IuDj?mYxXVkX5NLBmcpOnQ zW;IEs*{0$qS%IDBeU4I>{i&X2^I;~8*${YKKdNbt@w6b@#h+I1;pyWtf3(}DkD8W4 z3DLvTawU8UXOp#j`d+iD7c3;0R&@B{dXb2pG6vu0DpPY^a-o0o%i|%rs)4p}P$%&) zWo+;qdtqbqS2}^J>gu$otrT>M^)ZM0@3J@)xG1pn^l|t_9B=)$k>k+uA~;q2jXA7L zLb4BLB_3)-m#|7+ukF;u|Ix-b<{v^6*)ubupR3&t_Z#O0G9Xl4<(9rbH6@M(&g7a4 zKb_l~B&%wt2mM+JET{(0jrJC=mUWxI=|L4%_wa|p5wo#(HHTzU=4xzZFcl_$GUZk| zB2Tf}sLF2+dDZ6av{z92&=eX6Fv1ua=`59zDBJ&)kvL6zMc-To)PZe2>p%dA#r7JO za{(_Tp9h9Np8$T~m`fhJsgs2kBelzSK^V|?h{BX#Eyg4#o5OYfEmEI7{>_U*C=meKvb(K9 z0Lltfq>QIX>5GP0gCBBx=qcJdBtIT8td6wC(n)Er&B#QDk8|k8b{J;#Z)%5GYW*oK z{{aG45GGK|`$B){9&Cfgs&5eiFP%3S1K8lzrnNr(=6~|`gWvtpCm+B4;8*_agI{+R z^{yv{)mBYUzd)NSoOKV85Bw;Q0u^M{y#4TdZ@>B1-+uE4fBM`1=uiIEhd=toUyu`N zh4&tsc?j>J8G2vKpC=N0Hle7@w;%jhZ$JFt?T5ef_M6{(`{6$(S#Q7j>uyZBhK(G<9|tll}hb@BEFo zAO6bQ5C6uG{>~qK`pK_S(f`Lk_=P|Do4?`gibfrQV91XuyBh5#eQ#U$PPc#|LS~9b zw#eHLe~)YTG5!3}-~QIy4}SYcAOFUm{ilET&wlBfq&XJAQdy(7sNK6_r>gr?FA@Nx z3~DSgw||@DeEOZ=p^u+_@}JX3$l0k!8uq`6mnB#$)S5?CP&#I} zq0cml=?{N(T7p<5+O?5!tU0q04mr)PCW_=fLk8(*ZZxV2y5-o+vqn%YDESt_z zn}oX!d^MLlvJd2C-u{N|lj3`1aAI@lGH5$i_D*5ic4|k9WM9+X${_YYQ`i7Vj5gT4 zLz~7%cEOh4(%C%_$2uIfu&`NpFp1I^@%g@mfhoe5sxJkYU<0o}E%@$2biZ%_g9yt+rAd>T30>B2Yyem1m%Zz|;jOB!3e`1aFp9{?9=&rRb3q0=`*7%r z9{OFrtGD@Q^sL&`j#((_+r%De`5<#V{`XALNqY@ z?WsZJIY*`E7-GOX2iK*vceCK|mf(iYVLhh?W5{Dt@^YB0w1Y7x9U1of&uI9PNp)}! z3&Qut3J}B_PDQW!1ufoH4}v4WW9TwS*|QZxZjmCpVf#EeTMse=?u$LYKp|pbY5jjM zv=c@PJ|tjqa@^C76lb7!u>Z2*sM4Aw{gR3kR zl-i(Vl)^GaKo(=8#7kI4>dval9rGWl6lgE~7t-f7{$}YHAI7*07=Y6y>rnnm)#blM z)QGB~KQo26^Ar4}>a3YkPX6^+exN_03iKD$G@#zqNn*=&m_)%5z|Qx$impW!qW_`7 z^bfv%&jFmJ`C|AV=>3q%lh3mbx%_WE{cOGGO#k22=Wdem8fjQA0pud%h>Yu1 zFK-B>uR1dreB77Nuf^eTa!M@RH@0G0%>+;&UdEi;f?yw71)at~KLUC;1J=@hw+Gn7 zBNkMdR~uyWX4&AVULF8j1BZ-di&7AU$Xg1MyR+neWHF)_>6A+-N(*3oUnwNzSOY|? zjm0snOv?EWTU_GpZFWdLD>2PxIsDLC)RYuI&XZ`Af=pPu?z^*b@p%o6sj2>O2VoAnuFYq{j#r?O};7^0grln z>_4F^uv!pIZ52#DOqe}iGtOHY#PeLfYaO@XWurFLKqR}YW-#eULAEDTu-TpXv!$W?E1m9KS77R|GTvI*8TKOB>p(sw`|eYnyyu{$)9 z5w3mN00DJ|HPP;iZhOA9$L=uKG}D9bO&yjYBrCulZLice4w6}J>Lk)8cY+%TZ_TsP zqBx$Vry8zm+!mDJFx5NaEPXmlPs{svzXX051l++zxNXIkba`5qI;b2LQwviFzM6mw z!@qn9!=W=%|4m#WGV8m8aP8&N*>yM*4{crA^eck6>5p{$yK(g%1m$dk?UtZcR< zkP8(OcVaK*oKPFG5OMMr*gQ-|+6x!Om{r}^6KWrJ<#XAc5wP8$X(G)N`8{qiv;G=Z zCw`getCL!);tj}c&;lrY3ABm?%17iuH%5N{bLUSS)q5 z;4z^SE0UzF;q{I3{A>Tpix>KGj2&uOGilG zuNNk-IQ(STe|+aqka|G}Mo-JMb-G<``=r!Sg@P*r;q(DX`(m{!^FeGBvRHpu5dqu~ z*E~+adQQCNN15uM(KB_VKRlcU8A-%4k_i>cDzC`Yz`_$8R;nQFAK!oi z>t2<6R;}0_L<$`Z9K1n`C2yZL;+XJ)L2|>}V(}V@>(_JPDGN`{#^iSqfVW`|Fob@ z`RU`9L@c*YA3f-W6FyUKz{24w=BHT1%`GJx<{xD}0J4?NXW+cC4n66aQOPPk583 zg~HPsPzlYX6*p#kI#8Ge2xC=E4eq6ij-M5cYSXRkRLV$imNA<>KfPjx{b07ZOfRvG z?b70EpFXzBo{ncd8ndwoZc3jk5iwt|G~;M9o7UL<>`u8Y+2|OIT>!j*5?V|%UjU!oBiGm1Kubtl@x>CFolX(+ z|Bwx=mhbn4s#)~998V44rA+A~T@L5!=)b~lRjYP=34JRyRlX3YXZc^KObnW|e}RX| z{UF)*FZP%+-5L(4sVxrLZ$ajEh|xR3JuuK>X!& zkMXbf@$FS_NF4(yfi+xkWdY9f>7(X-c&R-B*z%>9Wwdb_0AB8Wz;OVQv0E(fR$Z>;y*iz>LRX$aZGVEI{#>51b#&Ee z=I?Vd8CUS@!L^{CHZWiMaw3s~ zStKAFh`1|m|6EYpZ=i)XdA`F{{}Ht2cI0dejxM6rvMUt~XQ`df!r&%bY|wz>aKMq$ z)dQ(@TIoSw7raB;ph!&(%R>Rk)2<63P(IkY;Cv; zUo?LxfE0qZ?Q=MH1JPbK=1Ct=yLCrCFDE2JYYhyirFu}{!t2;xas+CJovro@b=g3~ zdSQVsOQo1a1_aa77LMbZFO@9->TouQ^-WRerK}^&{<#&(Dt?<3@-a`jzQ}Iz?L*9T!DcEGDH?|MH6$ ze2noeD_kQN%oW4IQ^Tia*)ME$IJENHrdDN(2oIVG2l++*bZGL2q6QxVB@-D89!}dx zMdzp`m@Ij<+~p;_-oSIv!!N-^wI*N+cK9;YmGf``5>H&BH|^l5%lE*zpS3ikK<>(9A&%qlwgegtQor)wWj7mCV z2}wf-FD^pWu9$F_A3osJK2Xf)_Inl`eDN_%N)myP~A zj1-k&_Tg0k0B%(a7b9;RWz*?bY^cTy!cP~Z`{Nz)Kd!g)*bPYfv&k7Mj>sVYUq{FhlpE(w-6{u<$b^#MmL--VqE>_+mldrfR2hr+xO;+BOSUCF4dh`ydq9- zdj?FA_WJ{!RkXq5E`bhA<~Z(7;HnO$voNLYFGT18O|e8%=`39q zIFS+Is=e)O8i8T*(&UZ+=NI4Jcf4RaLa|vkJ;;qTcn0M#^K!B|rtZ)UvmIjMb!NsJ z=!=F3c?C7N5{w4k8KrJOZ*`Up$m_AlaMa<{IXg@M4%3mM(Aoxyq{icT&F@5QiyPu% zR{(@zx{HtFwXC5lQ&SNaMk{jaY^N)`0>(J3gI&%5qNE0_a#BIju<3B6@Hvw%kQtTE z21@T4WHN)#Pwkv?X!qn;$i_Zw>)q4${^&#dP!;*{gpFldIX&(|QjU-_z_S7}WwoJm z8xDyBtCI1XdhcSUCn7|^-xeS+a=>)Hp>^t?O+`Le9Dg|Uvh!sO_aoW`7y)scA4wmk zZK=)GbUrcLlxd%?On6O@0u0f)+WmLF3L-{I`78k=N3#I3W=g;~{66swTLK+rNPSMx_{tIrVZa#C z6t+qK=7mROV5Xz0+T%0+VcuKay7EH8Sc02+Mj$x3fu(&qXrAh zBly_B!6t-mOTJxUg0v&4*_u!-Hu=v!0)m3X#R)JB$e;x>vc2VqmRbFIt}K{%%uu@p zbCKg`AD$O?LF5A0Aaqng=P?_Q`Ydnz=DyhJN6#%OU7e;|8zh{4^a1&C7lbiz4kB(d z*$`_QR2|wfYx$(A)Ytrqvs7^Upk`^whL$e7`0RsPP`Vd%)nr1{9UM+*(_wZ9c>!A# ztk5IwguVmz5FH0P#4ntS9zXk_k-PJg1o%IRV_HC4Z?ku{HA0m5KBWU>S7>HfpIyj=jWJw5S&g+Nyk!Bgw%u?aD_6#1vm;L!EA=iJA*44 z&8i)Z5;Js!A6PysZJ=a5Htc*2Po6KhZZO7^nKbd49}48{LB;_=HqaCAQUE1|>}Luk zz=rSNsqSrDPdJ!5n*y|b#dMmY3LNKrvRmeiIgY3sv$8Z#Cl`k08Uerw%$f8xi2?3x zH63!AC?pdTw;d#AqeM!UjRJYWhE)3)3jUG=)^seha;xl}>Vc955OA774Gftfgg>6u zQFjlE#CnY(65h{_5T(N94INSf%jj%E4V%l*{9smFe-w?C8^x{#KknFpz;0VqI~KjG zYBHPaeGc%bo7>HBD#x=jG({~Jf`yfOu?3&mg!hLHNI*$RC>}`yU~XGjlBD%&%u=v< z;qVyMjI$O5qjapYB=M|&^{YQM&W;KGzdzwga)k2$5TXSl>Fk$&`pVg0T)`C$81msm z^vda0c&6Bimzu^`_tMx82YjZHpLT!)<<}9zl7Z+9O^-1M_9h?RwM|998&Tjz6(OMv zC*QD1>uMIuDGdob`wSDn^5g0J(|7Y|0!M4d zgKW?|T#f+vB_^YRyJ(tBHb)t;4>}l0LP0umryL?+IT)M51TAqkseC*uEpK*3CCmbP zcErzh9KQ(8xI7(-;2rp>c=CJlk2BLEgGf|KRcaY8GA_j%mT4zwx{?ExggA&+ZfAxNCj* z;>8QH7&`bROSo~doPtr(CqSQrWfdV%IwE=10~g@w57??%IV<}c^ACUcYxu?KEzi-%hI;6k;&tHD=0(dwA?J)di%PFNW+XeK&{HDLz2p6mzYsEgt^~9F(OA)sl zX@7$DwBmbF_b#Ckpg#Z?N3JXY_DVge$_2=sTh;Xq{N~@qsXDcmakKW?b?w96f;$3E zxa>DI*G2c()PNJcqZyUaG}`2O zSp)n(z+ckjLaKQAziZF0d}p;4Xft?zBRn{u4)E}nQqnn3GX|~j=x=le<8^SEw<7tN zQDr zGj^FwX5^2%@sAP*b5p#chCY4{xs8=M?dnS8IWArZVfql`k>QJ`5 z^-usM79>zWSvr%s0W9`RRI3;R8IRZR!cZ>Ob;Hcp!><;cKUYnDJQt=No`n@zbU@k% zrotr!Kc+J+IEX{Q(9Qo^%f9Kzu;V(h`woKIXt)78Trg=S*cCY4){?njbx7#SN2)j=4Q} z1^MlZq#_z^Rxw7cqV5N0;p2Q@I(_q1Fu#zgsFAqJ-!bz?dU-NB92~f$GqK&O<9t#A zQU;)8c{?9&ItMl+b*t=mTHFCGOL?G2H1?Zw(W}Nbw4^iXS`VAlmZsoB?Uj|$(IltL z`H~hyajHmnGRv7xH2q%x4Swd7v+5;H_f4O_B4Y`Ykt}sQNYYX_;Lv!KIBexY#eQkm z+tNm25{etYE(h;THzo(3mB5dYI%OX@weLKfz?{U0{SUNV)DM(F@I@S&-8&$)!*V<+ zGKJe6Wo%kx3;<^iBxTa29HY|tc1-zK>*meYH8;wnQ9I_vab!YsSI5KNlk4=rFT*T7tFap%l zrD-YssovLJ@nD~5BBL|Pp`|h3VH9M=KGK#;O83%~w_~Fkm<#&Wd8lOq#j1f~)zmp^ zIPVsmb+m`+&-S)&cZ^ymW5$;IkeH;>60=}_L0F1;>VY*tONJMX6r zbi4MzUX7b6QuJ6wH-N!rt`k8ve0#))3(au~`V8X?)m5*h_Sr5P?+(VMF#jPqzXUwV z)=U>OF*|jl{b|?JQ1Df7b1L~J7-v5nMiaTwC^)n9on(in#I<7Rft!sRaY-g?J;lQZ zS&@5eZ5@r;^0ID1r_mI`efD*G-s!`Wo_^^FgpeUKgI5*Ry<(5W_Mn#M%Z<)t_Q5FO z1B5L=o_vx)mKWktqp2(HI9q*zeMrBPM1wHjwf-lvrvaT;v1Tgqt6hCyPdoXSR+aqX zN8&&U*DE^7v7{{0hB}--6A>&8kI<`%R zECSZap1!}_m4z`Gpg97_iiyCW*u$U6lwe>2yQja`RCKDdz6wsNV{f^O>+fj z48+M+fQ8kcmUt2@P3rR=C1sPV^rH3J`Li4{%1Q+EEC?`Ujxq?$Bn(S}Sr7?)x- z;KdK9y;`3l#dUQ=N@r8%RV6$jE4G8+{>wF8ux^JVWJCIm0-T0|xpiHl0rl5&s3P@k zOY^4T39tsk(@FE<9M*ZU&gJzuFG(|5zTf9(Lgz{x%`G4u(W+dn;M3SR3z*gPaobni z2vWEQQ&+qSk?eX+X>dprQF@TLPRz1Hea2ibK!5^R|CWy`h^LOoHSbP)U8cd+CqeYf znjN<)#^&m_C%YC`AOH)L>VT)Bd(^)sHDQT;Ssh8`rBz#fMlVQYz$#xX@J`A84A9FI z-Y{$M-d{R_DviI3@ zJRr+xY5c*q>V(CKSu2#8d)mh_Ysos*wN^tY~j$MckS86&y}MzfMOY@IANeceIAV zTCj`hELX%1zG_o5ybO*xAY{R5X6^J#TL8EhbOw{EVg*8;eGh`+9Hct$_Y7r4f1piB zu~$~>Y<6eOo7{B-iN4K&i!JUvj3ZbB>xRlyJ^RZ}tC&h)3gDU>btqPt2Er|MWWTHZ zS#k3_0xQUFR2mzZ!TH-8sBu=wCZ&h&%&4awMZGyOc?KO4`Ih>$Zg+K`7gTqU5aZf& zlKtQPiix+eg|QSc61Fn`j=xNPoBpaS9g&+wz}aPPLHN{^E&Ir6F9!QWb|1XfNV_5x z2$Xh57}?9((!sY`>>!|t^jw?}V~4V%7l7ESO{=|+X*u(alBL65vjhP?hi%^=+GM>J zlBw!UMq8b*XPo8d2bPrYTggDKceF)ray}FI?hPdh8#{2^`CWz`fN))O#5*#qarT$% zfoUdhsTpqBc;NNXfzcp!f%(`}l73_0itj)$?QDR9N`2tS zy@`!>%*5kLCw!7|g@LfBB-4J%O1h)#IXvzwapf zYGn_qg}R{Z6=|xuWr8*XzJryhnwF`-NgD79vE?6VO140x!3z_%%}Q=*^`J;F9G1k+ z((!U`IH}N4vR-ulv|2l;6387&7-L!22WQXTqX*!D;o^{XfJ0tNa0~5KRqeDwjrO_v zN#aHwIIHPreR&F&7^7$B21B7%jCe!y(K5lJiH<_z`S_k}8qToY$P)z0`JyA5ND%53 z;g~)vp7~emYdXWkOVFuImJ#sg|LCg&faiJeQ-h0K#!?cDc@zHh1(S1h2@f6qb2djj zM*wQSey7SwBlU(bRXy9F%;Jo}JH&A5uhuxrMOZKhGtNG=;iEUhSx7B=4#}G$u6^~d zBEla;JbnA0|H5y!AQ!J->N}AMBo+sP#Kii&Ygp?$V#UXp%#8-qw ztd^479da*0`ORDr8-x}*>5$)-{Mv0|yquT7n(TImauq@o_wI+cM5Kd=Jzyb~jZlS0 zCmXUS0wThX7v_b4bdauJ?xYvIWDr4C&aSZYL&=;YGZE;+`dH)~^rojB=Z?o-V6r_% z00*jPXku#xF)M(gTE8hE027%0cQ_OxBN}8NSPFNrd$nC-ImLsJcp!$ldb2Kq#uH*q>I$vOI{Ai-alTTQW5v+M%O+Or=u=dnfLx;ia;PUaiqx8o zlC3D2jx(wD90da-!!uH3$G2Y!u1%H=+n{@^B9qCwCCduWHLy|^3=k3yLR{I*OhnAPHou<_MvI9R z6iIU5w62f1p1{+0G_TFoS@v_+c@*b|6)v2~0;L3_ho9x0Uw9(k92e9yD{9&{ABr7o zKI|$?J7TCK64^2XM1CiD&j4?8f+&jl8DfGAZA1#8+Cp)BKKl(XM^_rT*gNK2pXtWb9H=s95{Qy<@0 zvM@7wg*K1c$m>VA#U-YHY+sUk;mkd5XdewT(_IwpvbMua>cmW&!qs=PN)unW^wt1| zt{m39wd2WbQ}UHPPlP1R=3Z}JbbFp2Z9bPh?Y(xZQZuJE|CtHl3!%8I;aP$~@)AT5 zIf+h4ax(W`%bxE)K6nG|gGM|1qZ-E|2;lP!JY#d`9$z2PQj5{PZ2qk_|My?fRN2dV zf527iHdm|nd%mAS4DSkrz3`7h>s~G-e#C~)P`xg?*`G*n%jbW=m1y1}XuHoRf49iC z%ip}It391}C0>}FnzlE#>{RQ7L2ws=9nPcX;%De4ccDec#{B_K^op;$+nh7P#|=k} z2iiJ-S^Itr?prT$?>tL@fe_{|^lzjwb1pI>HYL-+!#^@i?x?%NJKssX?D8gF^v;w%Wme||92|jrmpK7Q1*sazU2KtUrn`^{)vFZ;Am$BIOrq+1lf&FC z^3yaY_3!8mkM3}I1sVPcxDR4y+b*aLyRqSTZHZCq2$a=vco$eMLN#bMOeIfi8^CRg zBvToI8{Q?3pM_{~3e|omrqUKcUtoW^(qGg)@cas#Ame(v{+(~R8JmkO@ZC4{Y;aQQ z3wCZJZ4e%9%vGLX`EoTE%#$Wmbkk~jA+q?WYv5&ffK+#}NEZimz^p-_Do1~zDgIr= zW6E^kbiO{|jrx3&`9Vze_hT*qY-7GW4030&k=ZpmmTJMvV>Uc-ijpwSUJPbQggD(X zSvdUnh38>5J6-e>T+65p3HJca=?D*i8}$gnEOR|SYrltnqa~2gFtLCryG!xrcZ4EN zdLGJX@=g`}IuL?>1%2RU!5wt26n&654|Ta~j|w*tQZ@6eqWVsJCcsARp)0&QK!u`p zNrw8Rjus z)-4vQH6@ShJaZBh8S%1+slwL3|1TkSjvoSZL;l1c7-aUx@xG{P=R9VveZ}E0&bFtn z!zC~-*>$81qT6X_%EgBZ2-H9oCaq6ZGk)M9J_9bsG*B@DVtkG8b1YW%(ZMr|M(bUX z1p=T)(hrMUa_|m#hfoy+lP?&aTio1oc+dd4;himjFB*A|Aai$*_DrRvqqG1!N#t36 zN{VWG$Tbr#!fEIXV1KY9iQ7}hZD=Nl6P(d4#@HN$zQF?&0W^`LL6iA}gx?HaK1nEo ze>55~n4dblanCd;EelKR&W#W!6Z0MYs$Q=RTB^Jo;uiX_wU@ByFybRG@hB!{F)rR4 z5=Xej>K-$tSuo=v-^LH7n6md|x$H;1DIO*98p|@gM9_Z8euU1N`sj@f^b@!*&c z0^&^DeZa`5OEtV=-qT9#;HS~^mEGVMpx1#X0cP-V##0FGMR@7w`8Mx_vktw|3xnu% z6b;VHJ3qsd314(9ceI02LeeM-)l$ng=hKD-pH1!2UwD)ZV$Zw8#bb&G%5+>5m%t`( zKXd&K;wBZ1AkK^Nxlwx{z| zHwOOtqnHHa5@!}bGg91$?}73TwPH3h^HI>jxuX2hB$E_(gSsyW{wwCHRQ4a+sU3qmV|PQecaqyls3#B|RR6pn$` zL&x-vHT3y}2&slK02<&7Y%i`JH?zUyI-ZXVLRo`RGMIOGo+Q8xDfWk&Jx>Hf_F(UT zTeU0Ni#f*;vF<2`b><|r{+FMTdj>k^or(8~aXN8;n8Vj&v~JpbU#xN9a&)1#GloA{ zBk%+bEIb?PQaD24PhztR0j~KXxzK52fWxk6BNp7-WnMLPZu8|P<>G%ika7boy&c24 z+&_K4p`Ii&f~N6(N3~v)nz7S$N?&L2($tzOI`u zT3?w9WO=r>L}J5%gptN@NrLMl+y%tC=H9%vcx|RC9rM5FM)>a72n1J^xT=FgIxd#0 z9Nvwzysow9q$;3FQg*eS&285Vd|qry6C}K()rZ%1aewV{c!oFPxUf_lH1hNjPDXoE z?4Lfa^2bRfdFpHcW>Hx`KqSjGe|JH*WVd#~{?fk-)YqD9r~V*c=-=fFHY4Qk@+<$@ zS|3L*CuaKq#bi6sM9~Rptrrer(3l_Cgmm*=Dg!G3sfW>ztj%sn$C4J}zU>6sWe)t8 zlQd}SQt^epPJmygDKNYMV6NY=43v~oitS=jWrp(Rc=&*Q=r|c#HLJ=RRVhnN3Bf#I z*o4uvqY^3w=uBHU9xx!8rv+`tw)3>!)~n46w^Gl~lR5MZ4c}D;PQhHWIZin)j3J&+Oz@ zaSL4@U3WUV{1nG=11&SUq%vqwJvrUjM73uy)||a7yp%i3<7qH&B`i1a9cmOfs$a_d zWH?-B6Kf+!lnD@-HJD}uozk3)U1XY^5}kOg#g%f_2mnLz+1@f48w8QAG3~X70w=!S z({J=FVz!1yu2eISFxl!P5m}8}q}tX9t`TrNOj2s5YyHw!z_`5M_wb2qa%I2V?P=%G zz|$k`u|vNCfQtQmOd85nEQ9rb3CJ|=8qW(O@K<@MH&p8ByZzI5Yi>MrVd@>v$>Jm;$^89Z6^EyP zgnpwMgfUfx%8Gp4Md|OCJ$Fim@P&vhL>i&sE|zbBmS2 zV8K>24R9q!EsT991W}_me19kys1&!iAUAT|l(s}4ys<+PShx2Q?TU-82uglHqhuyD zB{9)s3H}(wQJlb;nkM5YWy#6}qa{%F(g@6q_-Uk&@sb}9RL3&`b0v<#By-Xg&>Uaxy)^9OLM^&~UV_5fFxo{UKkdRVb1B8Y~AgW`Hvwkb@o^;feG;ert zBYl@y{@^x=aOAuzfcU?mBCM6#*W$zE7~d_DkEsHO7Fws?>o9(eS3oHEmKaq_5Ls@S z`{`<)pQj0WM_Lr=)*B!NH{b>XLjuTg8rrcP+ChHa_Gq3ToX~}e#3!F zLew|S;#v(!t6DaB3kC_R$q?b7y7%luP8sW2y~y+|`z1mURyE%azz4n_S!0oLv^{VmXu$Pzj-w;QJcdxd07Wex+kv;Fsh1A+f~W(q1%u1;h77 z=f{bu3pgrvaFwMV?@nyxQ>v5Nt1TG>sRMv&+4*CEq@_h7UbTo!Y*;4z0dnZDQRu8; z*pd#kqocy=cc4;_Hv|y21@5X<1+e}D%^iTF9O3NyoEE=B1Wg zX@Vb<+FZ{Cg4qG_sBg%ou{K5hfD11gy9c$|T#Rfqw%HG*^S4jm{vW@y+W`sxTCWb( zh&VK?VU+g_oBL>o@qktw4Be}PhQFSH);pZYwl%spA@YWmhmLv%h zgNa5b$>U>Lkf>JS>Hi4#B!ob8Mr;n+GFY*45D2!Ii111&-yoMhH*?% z1wcyXSizbAd=(umFWXnJbV$)5!$_7Sl?`kVJ-d@NUp6`Z|FY-vZtzE3a zO#_}4cC3`JgZzq=e*(~%{6O{LH#D4Zj5+QoO5PTaw4n*d(g-L8$DZZM@&^CDQ^V)Dfui$YsUWRm5hR{|G|%b`3Il=>Ti)sfjdRq_t8I2 z4{$_UK5q)VS2Gok#+MNhfwgREQUwq)e^33=Av~W{+VZ}z=|t-u>W$6#nuzEF%v$k> z-=bsl5C3EM(ojb}oTHkgR=znMI_HPK^~Znhk3aa~Z~gE$fB5(9AAb9Xzx~I*Xwz7& zRsLwJMM1@p4Z5c(Lw|g~C-n@@EERp2y5$S-uSI63yiDZ9>ghX`U9?Z%u_aP0Cp*^O z^$5k9eCf!Ewu8eUC?ZPSBr)ZkHNDB&7xxvd5L`_ZE#@wEs@yqY@$qd(l^6FbR*jcx zp?c`z1rO1_=p4jnqXT##WMYv-D5bQ**-QFfk7(D+UmeZQfl?Nr0D72uybYc{*5t+1 z;g`1+>bJnnANbf5qIP?D@~wE4*9?PBn(&6EwwZBfzB8bn5WEW7{ZX5PvY)=w*b4we zG`WqQTbXYJ<(W=;_#$=>0Xs!#=MUfd*S}+8tsn( z{T|~R{Nmv^KjyC^${i26vmr^!-@5VFX!98|`=)fC3%JX&uUW-c$>P6yg-OTn<>jS8 z7BVD*63ej#s|WVZmkeb3%8A^__njE0K^U1#J|50@c`kP?;CNcVndK#iJHLXHxf?pM zKg$ygc~ZW<*!N^we7AlaN(xgqpyma$T;Y&QTpP)f86b+dozMCoY z0#n%JiTp4Nbe_cIi2&hQe4=^@9Q$&gc`GRQuMRk}Yl zxfGdlMmN?OQXv} zc`i@qlFKo&-L{G`)pToRpusIO&*tlFnZ!9TrH3xclRSy!iQFMi03J!ZC7Y8^v&#;l zDH4P}*D9|P<@ZP-Isjr{0a{LA=NLN=ShY<+)d67zAH4bxScc^T|Ww(#GPkKhfLxd!}F@d zecAgxAhOK-_d}o^CEhHz&$r36B{!y?<1FDo88Zly&mZ!6W4>s zq;Ub+!Jf`H>_dJ!=9BGpS-%;#q1dG*AX$dZ#Lwn6^x-STYd{AzV(CP*eI?N>AFX)O z;>#SSt6Ad$ksz}Z{Lf*4D#r7C-XtGupaL15a}XR%_hEW^0ofEuBH2G0@jC%WbB;n| z5M`L6tEnq^T)-Xm|7Y)QT4ZUmG_m`3b=N?kl|W*&b1};9Xqcg)HH!j4XEkUeX+NOF`~!gop@kMY z&pGCw5t%pdt!nkhRMmYmBR$NHnH@7XJ7#vy^B9jsREvQ_^Xf^jutKs%X**x=K~%Nv z;Y9(wN4w86-{h=w+S7YDST3@vM1naqlw#2(L1DQJHH z);DjiQCv;nJD(XLU2Ge#Hk^886LG__kBE#p>VUm> zw_W|nIN=kqWd)mQgTu0feNAcaup`Z`FJu^z2FaA9#XaLgf5C4xa^c+)IBM51%=cC^ z>3uyxaW!g2d&??s5D4T(vD9S8SUTzR<#3(hX}o{oJh96tPwYY5PLiXo1}4b>z=C+4 zRtj;YJEmy?#%ANQ%Kfvho_P3jWF{vEoDuC~4!xf+nX(h*%tCxc^Z)1@b6|w{I~w9V zG|yStW#dR?tT;yHP=e(})#+$gF}mtTQn6)ws8gtJ5veFs{=25Sywe{aU{ zcA2rNiVI~*O@-IA|A6XE{J4ry9`53%<$W&Gt@iy-fA9|CW0_VM+GB?5!IlaLajOmh zWWW(x(CPv$SK|~6OjyoG-=jJ3VpxR%4E?P&1LqRHSDsgW_OV?v7bMH1*~>b>vbtB@ zHnkG?h`AqWXMPQW@P=4~yk+n&g;(vewvY=dL$djUKmuzu;=ARLwGXph3Ljt+T-8(N z(f(;ybbCM(4-C3p33y1_w2)S+O|=tJ-j5a#htG{=0^$T*y+23$);t~{6pZh;IZvC{ zKHpX(?vP`&HxPNDJwF^rmHjaQp~y|u^uP)*?Qpl0S_Zvt*^|>c)8wC4-Ps8DVX4!* z+c0jKz^s33cxML41sA;CG+-IrOtkb?2`M1YEQW8R73-sm*SLQo-5HuC6)xgyP&V8o zQ=W1Rn|L|P6_I4FZ1nz>F&G-+Vl%B-3=P!Kwv+2j?@GxhoAkcuT?XB!s5E`v^aRkZ z^yG*caZ~kjJzw+E#$il1#Xn_R5>LBu!JBeK^cy`Ih*;c{3TY&Gpy#aLyVUaBj{-Mq zaCG^u8Sg3Z(%!DO>@tBI3`)M{z|iwIhB}qvMju80e5mjCL;N!ZcmmM@Pj0e7m~gON z)_*A(6G9MuPO<lbuSsN3_g^5z1O1|2Bn2v@|tDQpwK&BW+p4fB1Xmbb-f&%+vr-gwERITAcM~hcL`^P}gYKFK#NN98k&OOfGe=fRB zb*8CiK>LYfuh{MnMv6(!eZt{s#+l7W+OR$2KoNL#xr#kR1gv=9KBY}1!{nrE zKsRPq-tZwH9#VZ_6$2d+R%X6l^EK}V%7FR8Y^J(q(!G6l=KD&>$LN~Te=^2^?ga1) zwHyD!tYv{(R_D7CuIP~s5n}y^0~M>|_0-46Za(&JU_(=n3KDLcAb#|8qMT76rld>c zBZ%0ug3Q=WNAq*cC5D23BGkNs>I@eiF#B-U$=~e4xe+%V2^zDipKPA6BXC@7Ywgwl z_088&(TKH{*42~n(X2-95=8K0HyzSm>YCRCgfYH+h;2$srR%Tzx!8sC& zhj(L4`-hfCI#9ui)?_500ot~?(9IWB+cmSa0T2iL6%PDpV#*rcMpg@<(dgzAQTfFd z%O*{u1>BBkhmd8>t+Xz?Hd!XcTPfq-(+4b6HLeC|Owcrh@Q7N2`gwF83RZi1EjXsP z6jc7>Jb^>S(mGC?X+{Q~f9tJqtNijufBrvK0MTLQ>nnu^6K5iORkHKQ4$!p=y-d=% z4pZYGo~;C3!nYsnFCL%FG-4lSS4vY|(vbQ-6 z6({MvlxW9`O9Og$hYIOpt9g4+sUTeDbp4gYa_usXa2;J*!~te>tMPd(UM#ZSKMg)S zv*oawY9gbYbNp|;X#iU^Aq-eBeht~gYF*`i5OCtTS-06I>Z$-QNo*J+ox;)Kn}%w#Fvm^$hV zSCgwxIWIbLxd}wq{vMclCz!Vxd(!D2v~j^>H-y{x$uWfnPt_)2g(%L(Cmg712o!{bu#5%=1EC zs%bjmA58I0QYH$+^k(u=>UF(IEs%TFeRyTBIB^p}a2sB7Yq$q}Mb>$#C|tk8f|XyS z{hJc5N7JG$^j=n}f*lS*CB4SzG=}e6a-L_g3SuG+rzlrWh@zIgnTa2`{Cj0 z=818{$jFRc0j4uqec;uOStD~~f7(}BNm@*+OVzTwr4uD`zRnqgRWL6zHZI!h3f&I> zQ?6>_nQvT^4UoK>ar+^a@dhTa(RDjX0$18$az?Y7y1jliZTe{RTbmA-)efTQq$(y` zJgcW07~L2qUK%5(B7+y!7MWd7G6yCzQ+14)BXiBO?zUS^CV8XRnDm@DOaxp{@-Z+} zyYGgKUXS8;-ApeC1xZh`Cad@xgJ)*AP}o6JUMOG`m(Q8RAFrGqamlAu#H01gHSk0p zN5eA7QFo{{JG#mv(D#ZD7!7st|8qH*HCzQfPLYI#y6`fpWK(7yL<`h?N9a9B!TYWR z@d-bnu}4}v=x2S{<4C9v5QR$mb6truc5#^9yMNf+1_rz`z6=tY%206)&C2>fEtNo1 z!}(!=oq(;u{{nyYpMv!R0khS(`%%l?5ASds;0$lYvvlBGl)D+4&#~8}JtXhKJ$u-* zI!Wxqt&C%eo3+r-$k~HzLyioS?K$%to*bJ~`XkWT!Ptq8?avZA5X#l3tmhDLrqqm- z-Dj>$L;fL9cBL5N5hXvD%p}|1WEhY3OpgU$W0bG0lRWJ3fOkNyA+wJq`9@cS(-P% z&(bCi=UX!2^AJX}%2=y#v_0A7wI&1ATh&&7 z!K&og{zp#!hCMJbFRQsbEx>U*$^M~CrsAz2iRHx!Cm!_+ZJ#jWn!J8S%+(z6;!-9KA{i3*Ud z7iDte>o06RYmO$LoZz_1wctDV zR}bE($}Fkp-+%tWyq_l(${w>xLihgj4~!_z%{u8jZd#-p-GBbUeEKkdaNQP3?fcI^ z7^;O~E)8sR9Pdxlfin8D4_5pd$V)CSpZPo;D{z%Sf5# z?>AJ)ePd<<9(Jq_^CI@+*vyC1NlEnhBgB0+`keJbZGOTP>*ts6tYq@ApJ-@hnLg%u z1&(t#NEXRd|BGhm=Fj-xm-FuAQ0+Cp)9T0r;p`vr)O;Wp5GBS3e@GVq>ij z)}5q;G|$k=vBM4TAFgXSz=$)d>Rvw`a5k`EyHQzw?7BOY}3YQ>J# zrlN^61^MKpQUPF~NR`xey@)HW;OW>IxVk1Z)Ye_s>~REjRs6rqNl?U89W!@pTLIzZ*^xZ6+5OWj_g3;IqHAGDp#S_Kr}!( zc~&-x8AK47b-U#`3P`A?n0Yv$?v+=C-ZW+k-4^^l(R(6s^*EN_-+E0#8#a56^Hd;D zAReFsxEJKd_mB@g*6;Se@3M84%BcMwBWj;-X{2X}N}xPs_2;i3voS*$zcj+LAnI* zrtu|bCS6cZBLD;t$XWZy{U7=U6Z5gEmIG-*>tg_-nmJ#&452VkwCxi}`=hX%8#(5^ zTbvGU9=lqo#TqN$PTspPXE?~g`DvG7S|Pt=&}>8az4_))nbClRNB#r|4ZLU*zV0$DKF97fn@TEHy;4%sFh672+Xsa3~LNra>l;87z zM>0*CYV|*pQD~f(5M#}EdDc7%afthuKl{|B0h};-z=R>oseCPodm9tiyH#Cl1MM_( zP)5N8FbRmqsX42g%(kfI7&n1N?PIt=$?_O(N}-Rqo{C|yBYzuloaygd_rQ6HW2tfdP6rd|Ed z`k;^v?;i#vb-9ac0q?_ZGh|!~(>2^qF6z|PO=dh^8)h^GWi8n^WTP5dHAKLzvrHWG zKtlotN@Wnam?#hKaUTC#v41M(h36{G!Iq;m?Md>Beg-vhuwPHJvJ(TiBT}FG(_#>BN%J_4#|Db|dV2sx z^WH!(-{tVA&o6&+PA@awPOd&8)m^(HY@9^H^2(h@&N-GHjhv>LU9D zX@8ObNIQz^{My^H=t^(s%5{h1CZk&CmTD(&G{UK>`uXKgpKiX<%eoFe@04+D=cuDe zPcE{0_RYLS_lcTbb@firDzAEG=Hw6N@qX0NY6lbDy_L&#UduIoExjAMna32+9eD;sWWB` zZnO{R0*)7nOXDP;yQrwQY#{JTg1|7%x~u=7H&Y~DMRae>lS%L~*20OO2o3Z0Qf4qz zi>xQ0$H4}BRT>8s(eHYnepzP8HfDC?MdqHV+2o|1!(hM8H}AN2 zUr$lY8PUR1p$ZMS$B8F&^;9z&U&sC{``4KbW8!6=k-Ya}hb)@YejTa$zd&<`9RRVGyns>m7l>#B*>!pTNl5HNc9AP*$_-SFm+dT=M(A^d4b zN3C|lKnbCh#EUj4e{3{-`>8Ds+bl;x7y-xHjdw~O*|uC zwjf;FvvE^Z0@1r*sxMWwV<~-wT)x(D5$C_%T00y%kaB6{>$0J~{Kr51@Zp^8^OTmx zZNZS9LO`1r74JLuG{A}~?TLAQYVE-o0PtcO*LPd8d2vk7YxWVtdF#>ZBUUeSg5&NC z=e_nr7{@9K0x}113SiqGZSSKO54mv2Q(S~sc9t!qY08dg+59n^Hz5sO<^;M|V$X60 z;gHjxlLF zJTjQ&bRO&km_Z>h#=Ie?XOBa`o|60e%VyGx97QyHxs#DF$?Qy6W`kv3FHuqK&qvW% zWyhUxy)G*4qPboWVK|MI9(!g=Xzwh$CZ<}&G?DsYpEsK2^-bTH`nrRTZm>|-WU_Im6Vjc>swJ@d-Od~S2R^H$F@IjQ_sAdn> z)E?*iDI079T=uMUY9$CO)~kk$uw4x@)K9rqg*vM5CgWA6rNp=H^e%Ifdl*n_szjb< zy%QrJZT-}`{l)4r*G!{L%Bxh(()-vBnLHAYWxLKT*{_N%L1NUQx-eoa8|QD|O-QKa zO^IEW?U8H_%fkuRjybNTf35%{0cP7Ge?y{ZA`Ydt(c2QqjN4suQ$rFnzDCYc%$F(@ zxJlGgV}EgV9aG;0-0`Sh`^!s8!IMh^hfMWyXZmiOOk_TYV-X*`t&c}wEWz3rbv-1ebowt;Bb2U90P5N|IWF9-}*SAg!9DuXZ~s>4sqQ&5)9P z-s}9bOnWT%YWNPR$r5O?Rg>@X8>#VM|J5M6#lcBMEzYt@a;h^(0%|jA*ZMMK_^*EW z;X`)Hn`)C;0;La@qaw3@Y=KFXV}H!o6@&e^-8xfbk&#KKsx?B)m^~DiS81J}*lGpC zgg!A@ESaK=2Gvk@AhWVmW~87J^k$Qrt^{vDov*vLs=g|1JQFqU415+L+sMrUA%dgBD9PDnYoz)z$h!>SUG@v6Yt@Xt^ z{`wz~))YTA+#{br-FM8hjkU;sM}__Rm-ox6>L>2LmKoo(S^I?@gjdR%#gNdPiU>vMGEeyhPGWahV+hckdE0t2Xsz$M_IqGNVPFUM^bi!Bn)_%xc8o%k93-Fzd8@C7SOV z>y@0$r8j-@x*ivGe5AD%Q(INgh?~?Bmm>OD!I2t%3mM=p+eV%NYlg48lZ3kPkQX#H zF-2dW)Z}bh;2_)-vwR1)9jyb0tjMQTh!hRR8Zc}ej6+}JSbg4cV5!?`z@_$B)S9Ov zTuSaM+)3V)(SN`=?-ML*B|vA01 zR$hX{@b`?Uc`Jd*+*MEXvYW(!`@ua^jH?2c9K{Gja#xyc6@8{El=@5tgh|hsJF$ur z6^8*OkD`zeF-ABX}$P0MayFTdLG2SGetIf);Vt^A#G9;|IjFBF-;^~xW63sMqd&Cjo zO;LPgX5kdLN%t>*Mz3u~Mg!y}UnNhP%2}+$B{_lpRdR6oh5*|>^`OGQnahJB!Dvq_ zo9%z8EO#!eu3BD2b6PJMX7yH2y)MoBs+KmXoLgFUIFW_x(XwRpy(H{2zWiBHzE|zR z`2f*7L)gk9OZ(N&AV zjkk1*I4+Jd$mUY0gIe9NS0o!BqnL0pwx`|nUJ=ggB5n-6nI=N_^}Iuy%Zzq4dCdnP zZ&btkTs2hG4XHn#k&-&FJ$zClKIXNJ|o7(4zDse!ax2b@we;_ z=if7|ze(&a+yemw-sXs3Kj4(zPY! z$lS&42o>T<3tHPJU*ZKqG~NcxegOWf)P?@xCs+?B-PkXW3T zKp+0{M}Ph&C44aZ+Jut~(S)lkP$lg#jyQJe{WT@6Cuw7o)-aTj;eu0ve#AM^Bxy3? zTMMSz^ZJCojCyC(o^zuLL-Ih9y9=_jrSjZ9y?Lp|&WYyllp&{+#PU+P0H55!MJE(b zZoE}b8ICsxb;Oh8;Vd~qNz)vL)}WANk~r!Udj`*}*)#YZ)3kvp%AO=<7o=TJL*}bZ zE)XA#D+yMqN!nyc8;%?yyKdrC?7Cxe&mNM?nWc8~b z^mm1-*#mujyr0$S_Z>r(p8yp%-WNW?jeEme<&}i?1NInsp@HD&NnKP==www1qFlOl3bZc$}xnnga^&I7#Nz`ZSwh08>9;Vy_`!Pa;w z@&l`f_QwxibW3{h(eoY>6(tXW_b%bU)dgV^O_KTmG9pL0$%Aj-th)2jP99tpdk

      wDq@W+w}x5?D@9K1X+&TE!tp>BgY)i zxsw|v>?|6_F)HjpoFXIIl4jOy9*O&eGfUPK_eneeK?52FnYdvOV>RegPSMLbZV@>$ z$|SRAl3_ocZp=b^zo-If?1Wk12GhMx*r!{A(FOraPs{4eg>>0c4kJH^CYu^_nr%wR zn}99tw553B1mGlbe?D`=3;gdsjkx0A-1w-#ug+P8Qo1lslXM2(-5;Hb z7Ie8~v;D|NGoUuJgHW;zTr`yjl(m&f+NU%C+^~!|P^=xa?t#WF1tVKHrW-nAzo*&Y zVyEOpoLS%mG0lmHp&Js7J@KM_NhzLmiP-fr7qN6>34>RfxL1kiV^^3=Qf04o`eNwx z0T>0X{~JgzK#<|R)$qw&H^N`Y?7I3-<`?6mLCe6Jhq48divz8$ApFAND9x!4CX8qd zs`BCm4%a-~DjZf@5ZieOL$i5DfVSOvipdj|U$PTD*lxsGM=SQO4Ad#kZJ!L9<={ah4ogxPNJsBRwctH$Ba45ZKf-@WadZIfr~}>XVK~Tj=luQ0)&kV&Kn$Xg7$O%V4LC z9q;iB+ZS0^J`#UkGH|}#$aRRzcBb1F*xXYy5R`-S#C$4U6=%wF1y3LxC35f@B^^Sx z95B>frSqKYQ|xBsS{*~xuk^%cy+ehmQ&m?gH$+ON5V;gx)HP525p_j_mOm@mwU#;g zsO1Adgm|CHWNYa>o4fBtSBm^O%~LZ9yY_t4?4Jy;Pv9W&&S(P|4XrJGeth|Lv0=*j zyeWnsnWYwp5VWOV6;-3x)>1vfHF?*Sv$qUCtPTGdt>!88uBOEh(0lVFiYy?T@{XV# zGl|9r2n*!{fAAXsrtqlv@S=VeCI#58|T88L#jKT}4Y zlR?}|kuL~d^{~I&16-;)-xQJZEkTxsH${*!N-FtYB0>@oem@Zr==Hvzh!}gB?KZTmM8F1ZO*RJ zwPx@f!Te;86q+=vMu^Y=N&x4z3hNpGBrStYh2uzih;2U`F??^@AjpB{v&S5PGJ7~W z6-=bZPD(2)khE)%iPCuF$wtGy!=@A(T%Wk}D9KW1%3Z;8#xA_jPkCd7k{r&5wDpji zVev(zmz5368gVDiqeATJvvA46-X(2V26_z6z=^QDSuJh0Y+>j< zR`nweYCc%8q?e1yef10!ag`Sgu6AG;?mh6<)$_A*0K;*%5=l`q6x4IBafZfV=%C?z zr0JO!9R_N~)Wnxn;LGXJSf6y>JX@*Acx3D0Kx+!V<$dE^894mY9T zRE8)8Sk0@Z~J7$7klV-5TLA9`plqTWt!Vs|P8rqVQc~7$(ZG?8{ zduQtlvY%HS@UT{AEX&%_97aJ)gPrFC09wuG9h*(Q!W~=-w9!`LfRx5%O>4V^K16D|eB& ze(Hvke1L+400sc`<_6OiArF);m3;@}Dh7)%@)2<~O&D3c4d2<%-~GE4Fb9j$6oO1V zBTjdiH_YSaNw50~E2q(WfKb|uNK0~>S$n6zo-2cKDIPdV&jg_RBRkx@Z((v z(uSD7&;|qt#rViVQhc<$0hN8-l{B&0S(dC;Gz&j>GzWaBV?g47rDqKWSwtgfTG`+F zyz$NaMMPWE!;x%n@2%%ki-A>Zkx>44=w)w17cY9WC3Ul;e@Oesl-{K6CE{ZEVfr?T z7D-AEvqhA-BGZ2x(hfACGA)8IV3}}n5P*5oYXiawI|*YdF%ZGYXxKbom-nl$XyO2> zJ1+0u2H_&~C?9v>24gX)L?~vs$O4ZaP7>YxXazzOv1C$;^C#*paFGw`EeJEIBNZrJ zgwR{Ih*P(J=!c6a;!b#|Dc; zsuTzDWvf$bK~iLA0ks*o0mv+MUSR2g?UO{GR7z^~Y!OmxP#^QIIv14wxAcORoQCS zaq=yLtYTF>7KnbIh{&SAcN5`qxAzJ$ZX|?8DGrtwG3}c>Wr}X77B34C#~HxcP{%zP zZIn7%c-EmRs(qib2eZ6Nn*?D5G!nJ1I}0{6E5f&;0AT<^ydlC6>!sb#24I@Ro6|v?n55273hBU+Q>) z)fqogm;avu+&qcFw0;*C+yQ@}vk@ z%io0}5n|vtOokJvW)blbkYPdlG8oDyM8$y_CfCovt+GqfD`iTv13ZTl7UxGP=MQDL zq8I9kv9mw(xdQF!XyNK>L9>6v_cD?c???O;_6ya7eK8FPQe$E}v0v@4ZiRAsQ>?{QM~93JfU&>!19P z`UUS7Xlv79k3w7Ens&mtO97QRlUU?(7M!mwfux}Q>M4KDtELhZ6AaWaeGd~p2^;_+ z=ntesfw{{YM;+@NmlO0FdgKB;$Y6!2!Ny~&3MRR;Zx8Z<_nr&}FG$e3XP6`{tr9!j zWskX;w}J#C}?iI6IvVk z8A_(_`K?!|*Q|3Y3Jy#VjC1Ri%%WAGvT0A6Z#$5#+{((A_FAf9jU%etnWa{KsNq@G z?rsVREWN?u$w@u`wA0VyI}x;ObBFRHny{8Qz^MVw<;YHK{t9=V{DZ9<(lagHFTWl| z1&;JZUS7P|5+10^W|t)R;yK%#1^_!Os?`dJ+AYR5wJbo7itbq#rorfqi7el>9y#ck z%wb(VS3{PxdJTen%S68yT|3d_^p%Y9fGTt$@Tp8nl#MSX*2~w$3C*%pT?=fRK~_4x z6Jn%XCq5dIa>tX3Mb_@+7dYC&W{ouQ^7SAnn$|A0{-+r~!$cIDhDDt;e%N=o)8Zpc`URpJMINi12Pm~vb zzn;KIvR%W-(?CH(c*%*09*y)@EB_e+r#&IdejBlrUW1LKW!v|rJj!d^^~!`tHc9K? z4!E9b<>S(R>n3_lGM{LEw6UlP_nN=1V5D9M{Ox?|ZMLQFg*;ZpLs)=M0#nr{d%YjB`!d|K_RSSz6Bj(B9fpBDVW#4XHYG8E5^ z9onR-GmgyOc_6+Ay$J0QU~Y}Skl81fBzE)D4otNib7Fge8v}`-0RaKJJLDLSkTEvy zZ8STENv2ug3{<~lQ0@sNOGaw=D+=iS3s^Ud{08v9!O3UA>Lzz$N z8D+Rv=jm9pMri?-v&GhSz%?gcP)Q-rt6jI$3r3fX(O8=G)LT%a)tdcHJK(>0Hn99kB*#Ht~OgOMVWvQE<=tG$8>lXn-`@vfW3vG|2(0 z9-xud>xmpVh-rgsflKwlr+E|>!xg)%sw1e*079Iv$Mkz<+(b;AJ`ahrF>wMAYtXu0 z7kzNj_QuzJD`w{<>c6_?d97j2j60%sOhO!x4-$TFF2fpLP4-ZJ(rrv3R7OgS}Q$84&z=Hse) z;4SVGlE7i;=D?e+ZNV`0BG+g-$+NH@1BnvAV;;?TU}49>$xaDOAr7cC==YY@nTcF* z0Cs1(&3r#HCGcmz zy+!qwY{Q${4sK=ZUA{(&;G?)FLDN}rbgU_aA0)9UL@-F%zfXHU-#>})lJWq@Zl2}w%8PhYK zL=Fa!Il0a^@fmK?F{$7odjMx))}q z0HGC4EOy`T16#P}j1?Z;$)9>XJ6JKZPN8MJ_2<1VyRLlbF1Is6qINHZ=RW5gS<%F92UpHG)IEdao^s{@0=UXQzR~XKyyh5xSM44m zE`kdXTg{Jfr$N)5P;EFS)R4BQUEZ3AkP0W8@OOcu6D%496Nzkw8p~PXn1^#D57?D@ z4V>C>DjQL$LrZ`7fH|nc=C!B*zs3TYPDU@;7p{NCnV5$cnV{&%!yvmSmRg^9AFMjL zmTD2}$+1K=nTxQqWupMhc^catGYPg0!xV5JXa75&0+QwX=@J7|+NWkk27n0l?g+i8 zeMFm4m`;GRbnrz;Em3d5#uN|xL8S~)!}oscYEAYgEwP1!we|&bJTA>pw*r$N0t6*~ zg#EsfPmzFNuU=8}n%x$;$?Jwu8Bsq{khH3?3u%Cs&hV7$_oP~$Bknd`%wNJLjfgSKEeTiK+DlF{oev{C2m+3IRe}D^dVXByFwzf=V*U`?p#+~k6AU;v z)*rnwhv`7BYaQTpIDEA#x5#{VW_ej0!?B%q;)^6>!Zts3Ts%+s>O1xqY2bpT3yf|_ zj00?ssofHHkt9OeMoW8$G>H#FEiXwIY0Nxb9wTmB|Lg~E-jJzRR)@3Ds&CbiBT=Zw zs+{8x#pi>GVBf)tXdZ-Mo}=^Rwi`2LY`wUQjPYwqY^m4ZAlo@L!`Bs!ikCphfk2SQTYR4 z$Ivc53#meh4@xOoe`6Om(ZVIY`k@;wNaGpl+Zs8$B4E>}3({{)DI6~dz^>+JLB?U| zw8TUS8M1*Nf=DfnNdm5)>0`DCQYWItKeU+3%*g`S@c|xt9xOr<0Aed2aR5OQxb!zl zQZQLjA)GKyf{3#ALB{1Lixl$xII@`Mj9Q!?_zNHc`jl!DqO^4>rL=$qh*hRNPa1P?3gA7v zNIfUa(goGri^-(6M#8@^q17Ij@jz~;SN$NxaaIC4dq06^L`o@1{c)C%dPv(&wxEUy z{CE+ejY9Z(s2sfDeh>%nyrt&zsmrHs8Uu9)099cOK=9c0VN`}GmihqHdJ8IZ=29B4 z%OqiD{mVbNMyc&NGO*5-;*s9Rb~lDEL)I`xh+rJA4Isl*`SNQCyq!~GJihz`>Y20< z6er~zUcUa2A1ZrWmCr9<7y23W>s$I6M`=KQ?>Q$7bw*Fb)061}08J>{PSd$|SbC8faie_l_*j-kqdii;U z7{g~}*fL1)%P(o)2>*F@e7`Ksl+Yp^d2fS0qiv_o>Zcv4bgUNVg^RO#UD52i(kIN6 zda0V0Z`WxTTy^V_#e+7>xOcwDi-Gd|o&~oiJ+nXkgtdg#Crc1+$f@LyiVBqD$Q3>c z)$=oGpX!w^Y~Y8`PGm};5m$rW|AV(wOHhS%zyaT6)?}o77>S8em`wrZ;-nk=HY%XKEOaxj={Xz6D2ZNgws; zaq7i!{ba-NrNEdw){tyS9awPZmek2KcY%c-j`x|WN_L4J)}2f|zL;CWo76w+Wyto< zF1zh^D1dNFdB#Mi=G~@(V<_X{+ zRbK~BcCD!#=6asdB7E_U6#q^mNHG{0!o!Lt++o*^XrlU|Msu{w=6pliT$w`1Ba9}=fy;=uY>f9K5`jzH_fM;lx|^j|i$#ssxG zJB3dM3|P`O&C)qwJ~>rIs{j?YJ~|B#*BJ*7uUAG6yc35X4JVonE9t>faP@nJh29j) z_^0-}6>X1GY`1pLwBq{qeo4zZeQn7qZk!ZRG14Cw-if}%k^ST>x5^G_i8XtET#-wd2e*XZB@r8D$`3)eB}{dYs2Q_5WwJhFA@(`N_Qc9YZpLx- zfXrkUC>fo*n!%0rL9uvmE_O}{=Z@u%UN1j~_bXf1YG0l5m0{--gISpQrh;j0GXRk! zcik-!bo`~A1HuAie5yWbDEgVhp-+7CfDOjBIgypz8sYx6*trrSXIrSX@HtFN%x1Zu z^CN5-9y+;{noDZP>i+dF-n?PZImfu@16-BEPx^xw=6XTw?-nk|2I}P}@Znqv1kgM2 z#d@%S#J{SR>{N=V;e+#T``{oZQv)IGT)zDLzx}4M^9?Pf^3;B;ZKNalOLjU}d*|Ky z!B9R6&^Vk8!BHm`4JCcr6_hA&KrV&5O@t#)5;Y2U+D~MP=5-F&?~30K9c4e-kGdoq z@m=xsaN(zaEY1f(Al)hBxh?51VKAaM$Kma(r)HmXcJuVqwp0nWA~|u_aO(fz2ORr= zz3@B&Lbf(?7L2=g)fG1Frhu`0A-Tt~1|)b4S_Z4dA@iEvU}=lHqc6cBuIp9}m`hSNo)(SDG_N}C zRk`4K@xgvi5>C3YPmR4-ha>nL5c>2!%5I=RiEy6Goz=N!$i#K7ma2XE1+4)~gL?z! zFGagZwFmR_uG(u;0qTjq6TAnRY+ln;zD2kCvd6d+=^jf*zh=(qLem`aDY6mU<@oQz z=vKMSX#|Ttxw1L%%RDw#%CK{~`d9zgWHBSngu~50rZNVI{11Q2w>) z5}&g8k|}c(d|%qDdZe#cgS#Z{-|v(^;S82Mbat>v>W}moWEsB)*e$#K(!}pm24sre z>pQ|4oLuARp#JHm3|Kzcj@-H2RrF4A2yfz1h0iJ z?b*~i=0V1jMo4pYV-&DdPx^}gDN>=A$XpyZ4d2&QPakR6{^W~x2dX&G2;z<(Idg3b zRRT;RdsFT6nM_q5Y{1UJgQAy;*r8UHEELC5+zdF+^Jq2;13r9%b6eA1t6s>!8=B}! zAn)H)c(bc2vZ98RG%J_8W#0e;9^+N7;SlFn#_g-cPenKJz0xBChLv%E3v#8WpX_50C*wkWq;2nK?_Fi#C2Fv&CznhMU5(N-mTmqty zwvE?MlF*?+i5>sGQbJS4HoX00TP8Hw61JQ3n|iyRw&K z~$J7TqWZ@fcMU zE~Ws5!X+GS6?@QfnY{dp2xIzc^UNGct zG~ki6vw?kxDVYx+3~k4s{pyMo7Va$QmB4rBFMvQ`ud|ev^Cz6 zskDPrwg|v3$Y8H!kwdGg5%ixAcS=jrWZuk(OwCWXWF$jTeq*X~MK;^WZR4sM3eiz6 zx@hO=|BKhjbT5^dr9;ZUf0NQx-bbwDQ1Y=KAU50KV60xqf9Wg*4`q_|6X|cBFMCV$ zN&dk_zSX`^m=FNWi%a3*`>n+P6)!Tq(yx>TqV=X{gq>@h5nacY`>*9Epa;uN=%VqA zkZ zhT-_J+h-}B4d-v)8-bKw#*DutQ zEJEh{*p;SI;#J|XKtSvDg{QIoD5eS_a1uJIdBTlg3#hLL;>^e_ax317U0vlH0SZuUW~|i z!4$zGPA;IlkhaxND(4+5?Qir4MkkV`+ir3V(C6a3);8k!;H5OUMJ5-LBH9cwU^uCj zw438Hr(gunNx2RH2Wb=tlXXc_wsS6usl3<$#Rbk)+8xIHP7ceq)j>ZSuPM0U%&94+ z0um?Ukij)hRM&c=vD`U(4HEfnRWl<`4rYNJw)1?fHlwVV%1RwDBz&N!R3#X>IQF1D zovvDS)YFm~MA2=BS#Hi~F%_6O2^Ee;UddaeFA-E<)qMI~>nGZy*ZOd#EyP+kPwJvM z=bRT4slMx^&Y`E$tPafQIjQbMYjX~asSMA_;1|X5U@IV5*_)2m#EVXG-H>y3jHyJ1 zguCTAxeoXXe})6S;ruM{nL7^cvIAhK#Bb zu4ufs+;%w8U*SlC%$d{Ke4Iz`H^3C8`pIt?ZKVIvS*W!GeBl{u5 zo`VDIa%xb%;_a)<4o6JDH7f(xli6DNEA4=wL)Z@Vc6-rk<}{BR$(rhEq7gKk!ADf^q4Y_hhwo>}r6!F)YDQEiNW_t-9u- zX7_)A-c6}Qw^!LJ&8(RdJ(|XNr2(e-O&j2mV*!Q^kNDAYEnW4x!`=A#wpMSv$o=is z^Ko=t{rFmih8}ajHdhLAE(W9c_uZ)Ib;{fIync_XdEGMq))zgc2_iaI6=l3;a)ZXi zDKXs9v1$agMZA0g9le6%G7gzK4Vu@yt}8OjA}36M+l9AjC0uoDbP4;h0<1S~#T~@4 z7aiFPb}#D#bs_X7T9eLz%l6<(-V31>3`9Fru%cZ%`cd1u*wUUEjtx~0Ye`9fWmm2& z-tbA`xG{EB!3HN2Gtju%N>iTUYnvanO&ZT>`8yml#FT(hh_dBv&p@S#pd@aZe8XkH z$q_Cb4#y?HdcVSvTFYD-bBR=@&}Df)`)!E44CY=m!U8-Bsz&4+W+)K(%sIT=X_^}h zPlg{0j_cWs!>i|%il}+ombY&^Tz2b1AT@eF)5K4ca7tg?CnJT^|KJsYBg!qVhMsKp ziu6G>5GUS*!E4Cu2Ax!4vooY0I&m6Oswp+`w02iKV*zt)xlR9m~akfeTq3Lmr+AZns;M&#^V+DDJCAvJK$Q@Bi9wx2+=lkE-(Mp7Ap)VSK=gY zkY#f^FL#YgV)QDEA*^fRI@A!yg8p&IOwD`+}X7{ARA^5 zL(EN(Cb9Kzj-Z=Qd#ZE|uUZ5sIn}8KizANM3){m6+Dk6xj7y&zn;Bwwv*X4-B66$j}0a1kT6B%pB3> zwwj&lfb&o0N#vv`GbIEDwxyaK&a2C6v)SX)HH?wWLuiZuDL&Z^Felfz?}gV&w1C$( z3S_E+yL1Lnr6lwVrK`U%K%VFzw0RV-W4Nku$dv+LkVKq3nOz(XdmLPnbZqXhW01Vk z}Si`fbcsd*A>RF;- z0l(^-i2?^C5j54mmMP$o@1zeMEJzHwM>WjJbU7dD&Pf*3R!CtK0A*Nw^S#bD=Ad|< z2jEJtQvBU7fNi1>QHWi;1XkjM-+u`D4{`q?A;muCxSXU~!I=APzmY-(Ii$b(`7OU$ zLbj2Epo)o2aK%%?+F$L(4dU}3K<~WAT?vy(dHMCpmQin5NtSgd+o}&2UjV?$aE@e9 z*N<>_`t0v=uSzo@vxNRkoZxWUhcI{C3?AXfwN%Z(;AI)26@e7QhMTwZjGhdOn_phT z^G4}rwL2F~E7VlSUA5{dIyCJFkF@tEyY76fJAmp?N2y`3Y(az}w>RJ$K}epwV<{kh z9LkC}94IkO2IZLBy&OPp2R8uCmn@2QSjY>rEzX7&JRXg^ngu?u!?HLtWTFECo0f#q z2%%lDrj7f)Y7W&<*x`_z`SL8m!C7J2bH?0h2JTbrYT@rbB9fZ2s*1j5J$21c1sp*f zQDVKP#gvNwN}ih<#J;n_9@Li1X<%JE=hRSr+6#RmvF@m*T+pGhXaS;GY_HgjwQm*Qgjr zbvfePz>cd<82A|t-J_;nxUBeOt}lpd0<*VLgCB!~c3J0G()>6CS~7jx?vMxIH)tYP z#S&x1m#BZu08|w)gIZdVqr|%XKH$9Vh`pid!;!j5!A$G_KYg1l^KH%ynt;d^C6Wn= zL66-~-^vl`BXx?d?HgIN1~{3PZ&rMlT4wy6a|<~Fa#ptgkGx^M1N&DF0?AeDoYab) zylPoVH^MntvSZ1{wt2tfdq-kh&JP0LqoQ)L+YW%v0-VSR9$ul``x;J z;3Lf~fW3tah&Lvn+-N~ZjI&akPie%}tS4JKFyR(i4vdfoF_Ni0XDTK+)+w*IOq`l> z33esi0k@2Gxt63H47UP-d;<|YZK6|*yNSL~lD>s=3?g%@+gT55jV~VNgvEqC8zS>;dE@D$SJ*pKbvuO?@&m zYQsGb3fy5)vx;rW=Y;P{1C$5qn?qi~O-5vQ4Xl)K4SqRmtYg1-C1@*=fg{b_;vP+D zFyAIZgTM7hDs=e>m!^jQu(6L7WH<)7VWjHA5ZD`%TxGe@^*pi?PfWN*hUb#y`JM`! zb|`xokKhad3Kt0IW>|1e5(MxBGReq!VZN+8scVNJLCBZE)CyoFP?F6j`-5jcPn4Dg z#1<|wZnPeko#N>!fugI*>c_7^hra|)eX3K^HXJYMkahjPaTS1L!!THn_# z=GGZTET09;+dBvzHHh~-M-m{}pf5;){gD=6zn)kAzH!)rlhmf!eJa_VHb<-_ztJ3P zqvp+y)WcjJn1zXz_B7!g`O=QevKIGP?39paEw)FiC5+>Ip}*~}G<(9H^%-WR{I+&L zw_3zol^D;+WDK-UB5}<=odU#B-GbUUF zm+iZHVi|ew>QdS2u}@8d&@Olo()MEIIC8a+hm#}<87LfO5sAd;OY0qT4c-kx^ShNd zF0|kAb}1YaJ`bRt1F2#=I)%_8*3s}EoE72KhWRFb*U%ZDOPHOlQ4@+_kU3_I&1Cq+ zvTwtO;)BVgqa6h>pTS1N#pL$3GJ`GFrsQ3V2Olr9V+mFyGZR;KdRck@=ZCb>!(R2D zjsNB6Q}ofnc97dr9Y1B=L5o@vmvnag?OC0u&Vnn-u^}f0!ed+<2|~DpQ3QsS?Qjx? zx3MA|i;su@)?maQ`i4D{a_OJ%TFo|9pn$Zyb%35e2uW~EJ_w11#>Pu`p4|bFq*n; zClaGw;?vR2Uiw%%KrVCe?UaE>t?AFa?}hc3%a6z$KQr>GyuKGqY`j2Nl+u7djvX#Z zG*pa8dSeOUO7TESi)02Af2R2vJ_Q|Qb5n827H`k`3bf$3Vd-*J7#M@G)1~~znb|35 zCC@W5(2z00E*JONSpBXAwRYdpMy}!Er3z0hFCqabTq%~$WW-Ww1e0hi!xx4}(De;~ zfTmP9^c8cJUBENWt_Khi3_;?j0cY=&ou63+1n`iQD6)KA5#Sf11%AL7_^@75xMSU1 z6t?rW;Y%86fJ*@4Q{L=vw72bL2P&-RByk)GY2?lUrvvTce+7Rs%2rs*8C(QSb*9rQ zl8~uB0C`>}0s`@y8pKKiXUZAU3VQW02pRWSVn5mMR>QeZ1cYL6X=$`=5BH6UDtdx6 z9nYY&0DLSb!tg=a&Z6vOr3JvYK@-Ucvz^eYr%IpWO#|dh&=h!76e$WlDtTYw-l_-qH@nWeh>W)Q*Q1K^y$v}jXbo5!L&7r^?3 zV~pho4%nhCK5z|wNp%w!n%4k$WAGUj#Q1?30!bDp@%AqfL{O7Sl9_#TAbC_MHfBTA zMK1a70wCT7rk%vHeD_@$V@4D9{MhsY0L#h}saCWOk?I#(`9A$ONEgEm$Dj$G={ z(2N-@mMhBJ^zbel*$+4th-2eF`U7^Ez#er#_o3|<*_|9_EvZGwqVM3IlJyxpWxAf} zjNisX! zUMO#cnbb@)@a5muxE8$=N>jV!c1!rq4m<=CL2qhwCo77gY7-Z|Qq%Hhc6ZQs6vr^$0!44Fd=xBxJNiI`=^CO?`7353nCv+4Q3j43=f zK#oi5C^>xHtB`T#S>I|RKYW&cq(i&&%~l4-E)K|=N?QBK_LHQgi{<7iu=b2fbEx?S zWWa9X$N?26ao}J#8fq2KAbZiL1u0{*q=1z1q$}WD60j^f;4ZWWdSN@0ZC#o?USy1| z?(uxX_+=lrQ@`8f*22n0c+{9WLvH@DvH8 z`j(u7xMh4S1;458cFOOc&>|qa9;13)v$;07^*Pj6M7q<&z+6XLCeiRb$Z;^DRcq5! zbfI0Sp3mokOlC!)&U&dKcGhwuFjm)rCIW9W$CwQ&E=A9U9XV3_G;m*F%<$xMs7q|n zpFAF>)Oe2sn(An{&Tb3Y%WreR0S{is8;2Z?NwYm5d>ed-v&@&`V#4vT$nO=T#{3fm zm0@EuKznf@yWB9dgBSciuH*Mzo)3Jv3|qqb!S#)jq@9U)sLX16&`IHdIyVk^x$nVU zo44n;(w)Txe950lwaruJ{LSgzdLvntzkK?O&lXt~pZ;r6ZGi=al$xP>nj|gK;&iCF zlDZKlX%e$C@DAf1mUUW5V@8yy{Pb7n{FRGYNrDugep@kg?xUgtN|P1!zP5T?72hZD zH=G1u1~{aAR90Dw6Z}Fi^`jK-#v?&5G=GB`Db)?Rk`fRIZAyb6&x}Ug()v9Kt6~q# ziZk4?(&Bxx^PB1;Xg}}CAB+^v8mHPS$UMdG@Vn}}@poMbwAMb#@mD^Hq7?tmA1*P(^}#u!$nK5|B;cdxSbPhnkFu{Iu*HEq=7eX~nfgrT1x0zTqTR9&v6FRXa+L{Yai3tJHx`tx%bA=KC3vyP-S+*2zPi+`Fr< zi}X<#$m3d-KC-Td0`3&`M};hfd8;WVjpW64EDH%#reu=Ik*DU=SI2g&bm)^c=TEW# z4}8c&Hf@JKCo2HNdC&Cb!Z9=J%Up&lNd}nzztU-y9o?3JLozTV27Ivy#Gq_Ug0(9><YF_}DI)Gto4CB-2N7D67%Nqn#?? zN3p{{4NV%W`&2pj?RlM1g6oCK;vU}MWXK~Spx_$6ZR+|c3!+?}@4`Hq=Au1>&ZRCq za0qbz^xGzX9bcaaffUIsp9|MoGQt3eE??+vDHP8azCHuqop!jAd34C;O|nTfr;UMJ zfeW@2&NWOn{v?;$3mE)d3UReXEJDJ5fqtU5J*sB=S=Q%?_W zIOJ5&hSx?Oo$6ug*?}i@88by=CY$R9RD@5zp#_QB($l5k;6P^7lZ!i@DCC5+E9+Y} zsOZ`;y+jhOTW9j7GliTYK?TVs^Eh;!1Ti1-#LzeXyps7Px22D zMxa*3B|=%i@VuEE*w-Flmrlh<6x9Rm!Lg;7+;|URM*$=0Rz)TkXL!x?aXGE1`CQgn zAXeL?m%eQ8!|6gJu=+Fmp@OAzo)zYH4v5Sb+TNAB-F;jg7*|oBly4r=df6P<&X#~7 zl}KBITig&~2g+3@E-v%@Tyq@tU2Ei7R>04SdNc3Z<838=4m_(@Y@4a&cAx3yA-gvO zwnaulOLoyomv$EPc12d=>KqQ#BWs8m+5gSAI&^Y1Jmhu|t_Q#XTw&41rpUzYer)Nn zIR>u{T|sX)Emk$N+cD&;B=0RHP}E!PA+0bqwD`sut5{xf32zK0#na~u8AEt00K$c4 za$M1tH?yRwe$iW}gvNu=7~TtTlg~{FrkTI=89;R39;ymUJQ(Bz#y|L0Z4pO+^%ir4 zndMtDV!QfmW;nHDkOF>$t1pCq;bzx(`Q4u$fA^=&?RWo`l}Lg-dm3TMJLF0L5%Pe* zjL7)ipSJx;hz1WViCxU_=JVi6YU@cZ2gFxhO<50A&Ro7d4Z-C@pWprIYkn*Yko_R- z;2+E=5R;5CWjq#Fam)?cS`+~0pUh4;IGuitZR=Q9ecNvfQU(-m#gX$!o;)0v>Q93T zT@5hi*S->F!D%OBJn?7W!a?npDy>=+(zQPo4h<(&ajaW?tY4`qsgxrvBB!Iupite% zPyVR*4RPB?@tRLXbCSuIaMtt&P3e7CTilN-vHCFR+=`<*llmeRHYZnUFm1t>v0dgU|X54*QhcY8Q}?G6Y9OTa4H zvO{0aVL$~KYSc}`L@VizRa_=NY84GPGDp}OFB!EOOLRw1eaH9hnO@VfXS#*I2i<7C zAI53mOmwTn$D%4qAaxYDwBTI_CzC<|_NS#582@sz3xoOaFZ22gNEAvkQOyZgbbFxOP!0e!#5~Pb zT=3AKk)$_ew9pPZsu&*3wBx&i6sv=6)_CsSaFfm7w+|YTtD?hT);oAqf!@VI$w~Q+ zKMv2xcOR(9>E5O2x~5u^nkQBpbo!!1ez2x3zbRAeos!Kb81^ou){pMrm-lNsoiUb4 zCfZJ%7!vz_1Qc+1m@1pt>%(-WEp7Q8Yx{QN(&|xXa8X}X_`m)3_wQdMH-U!3i?K8M zQYbQUb$egt@E12Ftih8PfKR&Ha^ldHUc`_F1{@WTzLb?gE7nK5_QZQGvMd(Bc@SOTm zkZl4)4*9>pH~!AgzxhT&g+4K|)AReoS25k_ zC+r#w1!HK=%{ejWGuz|vQqRi*_hHR_%p>+xZGV-MLzpXMfA<*ZWJ#~I~fw`+FG>p#iG$M zS-ET@Dcv8XH#ZKIK>;IvdTLVURzG)(MYNf z^Ya;XpM@>Y!~Rf`eDTkqjzq-DqrR}mzL*9|qh4o(ju$Ne@JbNc--Yc;peSk&K(fDx zgL#l1S}XnH>XvH`ILMT4_Oeo}=N5qhWy$#PW9y9#GL&@64|!EkS5qU4<~8?13pnOX207i~Wrtrl!|}RSQNfklp#8*+5_G#F zr|D5Aq8&RDv7e6}@P)GpoP+dcY(X-PfDVL+>GWVSh0s|-+FCbYQaEKGOc~1eB(k(F zALt7uj(upFrY-T1%wY^}tpTnQirma_9BBN9zZg)Ma0uUmB!HW)pt-0UTLxZnJnIZB z!YxgZbvff%qt6N}B^6}`9umNlW;o#2fAkNQ@5_srvEE6{OvLKUOfKM7Ns~%rfP99b zQ@a|kss4+{h#n33a%dEkFd;JDsPq7Oc%E@tNG-=v4agE4k&U0!ue5AL5=KEfE&ke^ z=*Krfw5Ie;*5`a9Evtz5U;L+@;6O`qzA#=O6ym6yaEQ~;3U%O#I_4$&bjv@?pFj(W zbWFB%)JBp>r*_-7iuyW80Fq$MKrlawFf{cAsJ`((_1)rkeWm9kj-yh1&(LbZTCErcAhRsk0rZ7e zO8KvPim+!6SkOW-7FAf3ZSy6Lr%~ORGXUa{|9i~;C;5+jWVy2UY}I=@zhm_$K$j2R z`v#*xL!nZ_ZKyx;G1)$$x?i4;9I~wleN}?)c%c<@vhDhG7(O&<~mJG^x@wt+eQyyyM2mLGZ@^sArb9c)iAk)x+8! zqUOFg6|O^7(;#e(zxxN@e6uTXN(wm0oDo@h+wy`r13`QQJOzfHU10@0t_8}_z>G3K2QL9%fpi+%uHH^{77 zj(%oj9-0vh1QkgoDlu`2(|6{!zQKCL-VtzWN0tj$A#N$E z>=6iZEHYlz(@!?kNriQWg$rwgw}GT;L({;XHo0WG;zg>z1Ml}J(R(1#{or_;I6=*6 z#luwH-YYnefYdx*Vbm0=oBLn9qUm0a*-1Tut)@;-|;ra{f zZTyg=szA0D0Lj+5sLCR(5qph$)V^tRZVTF~!uuQOD9!fvcGJ4R9$d&>8@mJN!BpmY z%LewwPB6r1eQFT-2aDIL#j(Vp!q5OsPHi%8(Fc|H{Y}JUw%+ZEG}kuPy-3=nV85&?g8a3JkK)q!wFPzUxY@TJB5Lfy*n>iL#?M_&d|CoMDHgQbb{m{Dg z#~MUng0IqM2>=!5g3vLi0D&2m&z90B0q3rNCc4NQU=Ybz%TaETsIXrV5W zAg{=I@AsMuNrmyjacF)sVp_F7{q`bgP`9sLeHl(II6>?ge-EIgw8~oPu9OfuOHyJ* z#e{PO2HHI5`*DMY;n$HBXthOEb1Z&~NCgLPBzmai%@zFbT6U_JzM_XM;)3!@YvUvl~3+xUw;F!r8<&mEZxKj!6}=??hSSHrLv1p=Q?B4KAohjlE}V zd1%U&$Zi(flx@Gq@Pj@x{evO09ESq%O9qjRRbzssR%s8WrnW(hJiRnfTkazfy0dM7 zNmc_;gjA-kr0h6k5hp~#(>r+-fOEYHSyM(s#l16T1R!FlXmsQM{#JTenol?SKQc|K z3P{@7GmmNWsqfNf3uh%=pTY0)w3nZ<{7gm$2u}DrM~=YaV~abq><^yzftuU*Hntzr z`~Zvw6UOW&juQPnw|=mKO=Lb*v<-h=%5dlOy^EvyjkT2yy2^!le*C#!kqNrOAr= zSZXqF*JSK)Da4)#iMdHt2Zz+V-~a_caWHR_BwUOVf6^u_#Fw2DL53H~4xSH^Xlx=W z!__kW@{hinGG>(^W^@(<8Nj{2Sd24HoNLkihXWmsL5Im_T?)SPfGf0sC-j~H=F^mv zrm5jq2-~N>4Xj6hvjpJgh!5X(j2OqeEFV@&3qJX!;I7Ux^TlMWl&heUCE@M_5n&YQ z8gS;dO12lUcdPPyO;w=Ig%;9_0P?UkKLt~=JOen<7Dw450!3l$~R2s{(u@_L+MI{alHU3e;85{M~iTV3^(RlvhB5Ch&?-nosKM zvo0l@hNT@CaR4qFkVcKiBk=uuy-L9T_p!aa?*qFc1?=<%RzF=9tDCPxPhb9$|e~G7XxHNwVK5G1yF^ z*%b>8OH6#nHfZ;SI|bUiVt`O5k^v^UR77?^a=lG7brzF?9LE6GxnsTNNALpE`pmHe zGTJW7%O1qc^HGICD^HY1g&fylcT=oww8iRA6*dvsLe9JgTvq5NkIR)9&q!RHNmVeR z`F+ou{91!s{I0R2Y_N!ujfK}-9`cR@(FqJV`1-VC;7u<=?Y?a4u%%3Q93M_-Bv=hp zXKGI#4(0t^Z+e?hI!R61Ei&LW$lz;0-9l+X)|`}1fzp|Q7rxo!xQp3T!4;29${{C< zkrYOB8>}-jY-=haP<~jW%C2p|^)8x?KbUNFaX&vTyE?SAUq~`49UDo6YbMp7^z!i_ zq$YcN0J>V3291KS#6X;Iq9%GAO!Q~cqGA=lq`PSOTe=IY2B1NXqj9UEneCSJh&WKuAmguC7y;Es|3 zGrq`i6YRsD$<-GUmG9JNmZv^zsp_kgt-cH;@OSu_bO_+09)>ST2C^Lb=-a9s`W)D@ z82T96<||5}j}d)Th0wQ{#0Zc;^S8tv3rP=#E1SUtFT_xmY!f^i%H;OJld)*oSa>$5 zz!k-lK@(kFemK!d)|-o+=r%L}eweA5v6>mZEE$x`=o7FDp$&Zu=p&R6fYRZ{7C`Ay zWmAF}D>fAflk%IjNS zHUq3aErsFo%p}T=4|mk9fW9lnIY}rt&PBV$@gMSS>ubrN2AHf3ACw@VyknOYva2$2 zP#kD9PnFnHlXZ?$Xc%ACQ`K0`!esoxRWD{>8ZaVP|zc zlxX@Gp_w$#&{ppS6p!Yq$g9F4>yD40Ug{&z#mp!5;2Eb|G${DA1ILnpg9OE)bb8q~ zHyW+2S?tXHr$4_Sq*DI!YydmVvv6GW>AwW@G#00u*6||1mX&>1Gp}0SL%|=b7pNFB zl?`0p4t#9Qyq4PQ244<2b&dozHlNfF&juK9LaV^RT3S%|7DsFFo2d>dkN{~WItr>U z*fXB=kDSv>0G?dX`&!mRQ*`Hc(hUE@&xcs2pB&?)*?D#dgsk<-sJ>0YE73aiOgx=))HS9M4-)9fbbPNn7KlBu0Ool@Mh8iL`4;Kd+2w&@~*M;S0*`ar2x&Js{|xCAnqEN-I%|aRp`f_ z`JT%hbf)ap#n;VwMT^w3g3|HYpUOm(6>Utxl!8m?RCW+hG8(gbsN-aO$Suljs5$KO z_9C{F(}2GEFBmOic=L8=bY}3uucbZ0H0dTNpg0+O8ZyhhDSlNM*y|)3Tv?Nb)jOSqETkjYru(uL zn6}(lb_kPaD3n|l+g3d~)(w0H$|ozE`hHS27CkQ2U~oK-6{PJA-^G*Za9HXo{a-*a zhC>AqeQ~fTS=H^Rmc~0a{uQ#SN4}WhlX=G+qd%!%F8Qg?t+c7H89N&q`#i@61=M6@ zFF!ee{5ps$D_VYnh~(oild5~JBg!*?=hJ9-pF&sLT0X@vMVJDm&or{8?@ z4crz_G>0(jv?bazEuYr8EzSriB}+y6z%}*05mm(;V$=|pW5;%ZbM3^ccEH4^7q_Ml z_|>(1{OEu1tn!K%^@1~@vNTUQZRK&N9MVp5Nb}NNte2b;fHmlXAA|A7o$Hg8*RsKq z@~I92(5d%QHhU>?JSOgFz9kX*ukm+jz^7zi(CZseQ<&RrY9d%Vpr)tK_!!2+N7|K< zT~Sug(y8akR4s{<>|8}RJ{uJWXp+M4T2ubhi*H!6P%K*`Ct4R<%28yPLvy^&V&8WF zbeEH{y8C0=K>2wXwquY1aD&LmD1cXx(mMhh5=H3=_Q;fmCxy!+U~oWP`ti(bJM}P4 zNLL20pDA(ottu+a)-~<>jq~9~W3!bg%()5ov`S*MV>MP~w~}NC9!j+4<~IwJQa8Tz zWqJp29p>r|*x)0JL2H^)dQjj{0Wc7c*z%DP%ZTb#N>!)E?xfj%WjrvN*{LzMCHT2S zPtuy>Xv-WJbA3OYxKI{23Q3M~uuV`u)>pDCnv>-5F1CP_0;u{PrW%M-8Ur2~d)n1X zmoxx3Ggl+6wQ>eN)y(ePa?tEea{|@hrA!n)5d7rL<#rlW;g}3XYGwRSWU^A~Jz#$& z1ejKBU9(y^|RweS&{9I=a;fH@6FPZcNg~8-zsQO z-dZXbMMand{HkV%&ywJEQ&{>nRv^Y^2GIY4J%TI+vKMr@*y6D}xfD8H8YZhkJ=`XH z&Ye(sj3To7%7H7GQnI423^i#Cf%Cy#PR22&{ry^LZ>Ty8&R@+eiJ$Ge0;{}ZSn-L9 z?(D#SU0U+Rt?5oUmG9N?nImGgtQ8HtVbra+l*E^H-c#98lzU$t2JDW$s5AcP7Za{L zN`r;yMCKpJf3027&;p|ZB=l$=&}~~odrUh+h@*OuBm){CB^gG)gV$u@V!kH@wY>E_ zG`l>T{Rt>&Kz-9ixSCZhX9lJ>1y55x5a$i0H?RZR^IRgZtJYLii602{ht)qdC63TS zYCM;^O#MJ?KwJK{EONNCp8@m2G-rz@2z5DA^UHBJHRaSF#w!I8GjJqu#LF3 z#@oL-aTr*bk0jl;4SI8WNM>l;la+_?$HemSB!c&7n}4Jy5dtKE?8c6@I%mvJlW6`l z0jp0!+u(z!&iWyBc!;OYJT1+XNKCDc^U8*HB6tWKDIU?ww9H}S#$bd<`JiF=Es?)@ zDvE_lrY+&9krUv@XzfSREXI%V>W>lY7b0iZ$%qX7n{VMZ7|db&QdCU-j2yPqBnEG9 zgCmSdYax9S0@Q@5USTH%62Nz8dj?wKM>y1**HTgMkTrYX0Mw7h|AnE!r*KxvUcfjU z;)8+wgt#caLuX`qxIQ0RA*8$f^s|WrA0PrtV3nI>i+Mq)7LCMOex!!r@WD%gxFs^) zXoG-bPh*P}=YkVhYx=P-%M3)%A&n^^1pgN%w1YllbH>Q(e5RBOd3vPy%T#cVk}~@O zju@r|BjcTA3i%K1FLvUVcTC|zBL*}tXWRyYyo!BQ7!_TV%$b$rHEHS>7UcW(M3BSK z37|MWacmQNWSdVMY|2giY~Zlt2;ULaQjG5>)x)7?ijY(g`i;u@rq08Waw{_V(3B5J zt;xr8(V#W0(D#P+0}@A`A{xMw2uFMtb3*=JuAv|>Q7(I9G8*GHYv^zA{` zZu}(q%wn>Nw5-TB@w04ws#A+_FC46NVxJpQ$)PaOH+3T{8R$uk6?xX94v1G8>p%M& zyhSIwsK+%9RuRA~0N$5|tJU4;)ySFxYZ@O}w?eQ!!$sV^19heak|CDK%6VI$4B zdta>6C9Cm%qmLF zDiM!`>~Z3M0#F*wZ$CkbWII)Pf08ypuV=F)G%A7XQZ1l$Y_n=({>OhTBjfY40y~QQ zDs!?vlcvqPJ8`p3gR2@Ro&KG3dHXUo*7ao><_FX5Se2I}Hc-zhE#xYm{#)6EDG8w7ko!yPfMd6!Ci*^ee+86XexD!DO3%KZRdu<#J_L7 zLh|@n<{WAqYaPB);LRjk>?4o-#SHbi(JnzAr$smUIjvDPb_Dd%3|)Ji)DT4uTd_o@ z`$^=j;^U`)~N z=hBk($wP!sXPeKZ&I%sZKlZ%aq10cp!mtCodCptD8LKIGm!~w1tK8i#Oy0^qdS9jR z+32jb@#Lj%HKUC4WAEI0HUC=!V5i<`#tsK1Li9zp6$3wD>MCz~c^->T%K}jisKC~e zU(DTkXS$nsT%Apj7{D$!_X1bjUC{K z`MovO_5^MZ436%aSJ?Fcs6jxcf1gw^X473#*QTW0fa*riJRg8LQYqp7eGZOzUd_Q} zFhagrPIG|UvpwWHKBlF8Nr4bqtvD%w+6G5<7!K30w<&$`jeo*3$hV zrm^r8kgy})^A&po9sVJT;?}HQ2 zhTn5N!<|GmtS7ZyB=sX>yu{!jnp58)oUO=I>wTcn;k$7X8e_Ntcqo?%Ng|>TqR=+R z_zWjrlZfz5&-Mc&9Pdx;bu9y*v~+ymh$hh#Ye`8@hm+dIKcN>3INJ>zVf&p(yS~Ad zpE$QNxcJwmCKlRLI$#6kKv$`8OPKX&eB9jn)STfav8npT1=KjaHGt<_VF3mCAdu>h zO?zY0_;L&oU72hiw}M`0_|dE1y~HLHN4dA189=J-U;ASr6GWSsIw>$3j*ia|zC*SI zh_ZAbsvw?E;E z5TOU$L?^y=la86Rt-3X*#T8btxO1B&<(mp>0q>U@zO^wW4#HFOjNXWTIWNkGTQ>Z3 zI$(Oyi>E38W*hkThwMu^Eq-xZGR@9~ha3Bs@{rYh!2qU)6|!`newmj})0(t$%wvB# z<|TGjk`f&!j-j)t=`<;e3`43AJDQrnOe{Nf8|G2REsCPKNxtSLPNLtg(N`|DI)X7g)iqc70WDsqFUz!;rCJws5iCaWnxNNXFDlLPdnrB)+ANE2^5&D1b9%MIUV2 zJXaG~3%#OPS5vZa12^|B9+G5@u`HagwHzgD`NJTwq{`xeBQU(F4~I8;5ebehq`$xz zY%TwT9YErb?EEZI3PH-lz6sN%SWCcxIT@>5_?b3O1wdBf58k6XmL@X`(`*s|5~I`Y#yVmsTo1X(CZcq6Ma!5+d*T=I0wh9RuhmvpE-^;D3~VGZqgT1QL2pKt zR;%Z#>LtslMhu32w-aS;ZrKG>i)jQ9<|VW1w4FTJ=u<}_$9XuebPcOtbu=@3xKsEBsW;&s0xxGe^dZg(J|y1~+qX4T;m6vaV8A2>6*1sq?LN zkIB%4utQ#)Ugv`oferpBW^i1?H5|kKH(>63QyWK-UeVe)`cMruYsE>!>yTmMCsTbY zToPd)4m%S(TXF;4Q``<#O^;1-AQn_UXfGQ&}bOnzh|vfKxX zGR;vues6LxUG zHEaV@0wk?ufWtW9P(-qfWgdp5=KnVUmDB;OZHxHO)znmiD;*Xh1es8#vUsKRAg-Ke zP%1G1w;MA0wV~pfDE-He>&Ykb$q@A{Z&XS#A}{jokIPyxwjk(v*^BFqTA-lVmYG0# zl=b2yhmN(oN~!c-0OQ96&bjED{Xl=;0GMJ zWc5DO`#odpdSJxda0EDQwQ;tD(!&H`Auhj$A)o>xqr_sl{{n%01e<9w9?WR6T$2Z&mAN-X-O4hw>A*c(q_s9l8ViXT?94l$dE80S5cgl zv#4*yzz)JWqz@i=$`=KwUNTfKF~q4m0Hd!;_q5GBKu>NJ;DW~>8uwIV#{STlWV4aE zc>45bK;Ff6)WMmfO9fI&hyK|hvQ!7JdN83LN$VZ^LhC zX!|JFi=d~sNo0vW5EMcq%V{z`He`U|op+O9<5^)$la~j`6yMp{$YX~?OZsRM1o@bI z9FenE8#=%Z*rkZxuNWi5+XQ3HJl}W$4m*5vC0!FYgtGxVL`2%rKd79y@uQ(~VDijF zWtKPDejfS@-f>tI=wFo~9x~82Ltc`bYK{ECq-6szpj5Ao^qxam^smgDcthSGHnxm7 zp=Wj%?ZtkNKAR-8)#g0WSY8|%`nvOcYs3MwP`F{pC)Z|z3)_*If@G`}4MceGT+KZ| z=y43R;bBAnNlY>BX8wP)oT0;}E{GVWj-|268Mvinj%X8mLk{YnpZ(r15O5lwm`_PG zJy(y_VY|D$IPmQV$5#3rI||2(15ZYx2EqMBL`WmsdjFQzbM>ydt9MQ_JF2%KnQUW8yj!Df%7YVO;KEQtw_nv^_ z`07%kp_Is=e*;|#BNUs=F#A(W(`PLHP*iNtnn0UBu)bsfip+*yKZ7xZ4>iB85Jj&_ zr9`y9#Ab)y$L~7nQw!_^DyAl5p$3Ua4!9E(do#bI4*(;`v#%{U9;%lZ5!|!$tx40= znckJJlc>m8Q5DySXa~Trh{W&uGKu3U&>+z>Fsa%!F}DEbJ?E#dl{wTq@{I^S_12YJ z95@qrC(MI{5&0>v#aMx{O#%Z;y$hGbvhLd(mmER8Dmkw>RkxmGJH1&g78TXJmktepGZvxsgV(3^JL-J9f{>}Ak!cN*!0WP9#5`@ zSt+9N2YU@ubVsifhz?f93=mDWx#$tdGC8*zrkyA@BHriGIBxQ;=i~UV(`}q(V%vy# z6Mw2Z+@6))m(C^{WmHu+wjzh&XJcuZ6s>usJ$=r@kM=7jTP3*t`O0z}TNe~F4y^+g zk}KwUX5OOJ4p;#fh94yp!~|kD0^yt6m%pb2f~r51=>e*i_7JnT2kapA4Zc|Q*S4NB zl;8uv)&(m)hoe!&PBk~-7m6OxPoqJ!3+P(1`zru&F$9eyKc}e}!MR^4-x*pbbb(*% zN{;vzR^#5>(f+f5efE{o-LYi?fY-XT@Y13od0`kNh;ISke49pL@gOV&TCF>*uWXBC zIqp!}FJ0?ouy#0zjsRNgN@jTpPS2b%phoyA$J$Qydobff1 z-SK5g0B7sslo$LjoypW3UnzAMafuCZTe4l545{H@rA)6pG&Lal14Krm=}hMf%aZU@ zL(?RV@x#B&@ggc%$PGGS$o!@f^j+5KRnbDw z;!Z$*m1L1{C{XlLR@(zeaQ8@^)oZ<7{ZYHFeQ(YP-x&P^VNq|08!zKHP-+r7Dl7Pc z0KMB?yz?N4w=ehiUgHDkB(W0jF2R;k(gGmSIQ|C;?;gkZlSkj1Km=U5khv4HyvrFM zC>iV;k)QHre|sck?WSw;3_M%ot@!lrYZSzr-GL1Y;8CY``1-xXu(FyQ_$=MM8Zx(v z!#dN11UK!H`f2v)dmX6-oOH4h>!N%l3jXjkKskoXl>9vH{NXqbC0rTx)M}OP?h{W! z#fEXU)Q?tqUS`MjwZ`fK`)CSJBl-1v39tuRl@^?M^mg|+hrpe)bhH#5haZ`s)?J8P zxuBjtq9LfT#qRH`7m}E`h0Q(2fE>O9m5p8inwhA#>$HZpMVsH{$Ax58`i$o|OYMX%@q61_18b$&>GC4QLUYSeyX=21{dINCgm*w(f*^ zDZr`P$|u7+J^Vg6*^|jooevFda4Kk<(ULU^m2ai!O6E!1VO*Ws;rsWdicBA9^wx4~ z20*IT2?M3I2D&_qml;c-#Zv=7y5-ovA3IVeMp@mIfR`~_QD{69{pfq?1i-Tw2}-H6 z;pR?L|0|j8=e$|dvlG=>aBFYLvZpN{RFx0M>8lYp91AL*7_O~#63M1=2P{o{~A@kKZsJ?9%i7DEcCBK72HeOCrYU~(KuK~ z8?H7pO|YHs;#L)Osz=0N+c2$UYByk>+d=g9F{hBJj0+2y zGeWD|w7(3(Sw_bmat6$~${f&CUZff@wrR5)MDt9}thfLzfm@vY0nzQU$2{(4pPDkB z=XG@**#i%2(5YYtuP5muhAxPM*b0()K2PW4P@a{xp+@y>ml`#+=Q(|yQ?klVMhW^a zp-M(>=&EeVkS(+r>6NyrAGvLSD0`C)LzQ!ah{inU3GE?Iw8%5|I|uzDpYP$=n)5kB zKE&}d4-}6{+#4Zy2CK{yJC|XMIZ>?gxx+hV5BcKd8{p{HjNz~@GkQZtXO_{|xWQbz z5Se_J8q%3(awoNuXZ+?h>RV6i z!H^JNhIIHcNfvN2+Bs$X1<8glNH%-{zs2w+n0^V>7lRQ7X?+tZncv&()a{`~0{Wj!kN@y&6oG#X#!nod>E!F#w);^ya)w;oEcZl!Qg1s^*^utY z^YqiQCVB8tDi{w*hAQfGleFq1^8EWhB>;s?xvi*xQ72R5S)DOfm-1rFur(y^Rnn#M* zbGdiPS#abbdV-cKK46ovH*Sc?30)8kzJcE2^cmf!DIe$^(gv!+`YSTCpgl&3#h)Xi z-V7ajkZDoK{|t;DQI>77KUoTyn$K#n11XD?xqve>Z_ZYI1^f7~O#lvvu5OHvhi%5r zh$W)uaE6jAK3y8s`(7ZDrU3CDwr2AO)(@7%ldkfQ=9BpRLYOT zuljTH=r`J43XuLnBH18HV(@Meiwdxm+`^^^r`n(X>V#LXVJ>7+(%kh($7gHe&=;j3 zaVhOuXxpoRvuUdVIxODcBa)`Yxh)id=qBB((pzC75VicgcpOJwimV4C?p#`WDwooR z-)ADai&;@uKQVeAAZ%`&|N7Aqujmh$bPsc?B+JYnA9daXL6bJ03ldjaI&rq0XGQ%e z`@ZSVwK++5CuaNlNFiF1U&U#ViGcfsLh>OG%7;>DoSei7o#`g2jHH8Y3Fdf=>#DWl%1&`d_fvtgH? z^AvKxl=ta3C2bMjCF#f6%-PkYY}M-1Z&$KPGlyOX97;E$l$`|B#r3wiV5s2nwh@>5 zp;%Swykcn&ApDDv>eM8$ZohJ{e6gq&GaPLwPDKsAhH={Z-aPd=)r8+q+GW`0@oG)R zOjhiRPLyv?w%g)FPsaY9ikxUQe{XukMc}4^KYZ<5^952w_c~ux@A5W+ruEqxs@cx; zO8RKf@_fRfD!9n0a&-UceQFiU^%Fr+WNaPyn7PF%c0EdfUacvYBAPOa9kipjQNFV^ zZR_@!X!#9qKl6qUslSJh1>hTbN=EWQh54&lijSlr+Dw1^%6|J&N$0+qEG7?fPgWDv zx7_V7gZ_0>ypo|y*$_aHHvQ|OP$&soP8nf`N9up6pqJS|;k`p^cKye$e7B6p_HSCB z()^raOykG8!7DhJxo?@jhwYE!?DVx#{?5;a(3RB~KcLRG>}0y9R(mbs!MwuPh&v~m zG61QwjIoi7-k^lylaVBetn002Y8<(@V~_NCp0?sRv%0x*NJ^3<9KLM3mIg!B*Mi0_ zFN-rZ>Zd<5(|%i|XV4}?JV&+XDKj=%q|HI6stZMinLg+d(j zsq$j)FY_iAySSX{i!jvQvb>$r!{=(F8bTo*4|jORKl_CWw=AhEx<11}{%J2iWd;3! zhGZOI_RlfIk$y9251;m+E7&9)?7#7@2*N@H1U0rHPKXNAshoIYGmh&fxmu1FxtuIY z3~_FysKWA+jo(_X=Wn7b?{&WaSSWNpd_s~$=Gfc_p$E;JAR5#!>8&30qWV)EeW@0`5r`t9KL%NHhhccR38%6Hq;ivR z=n+Vn9Vd}U;u`M;m?VjRv*GmiM`*orqr@$MJ`jry35` zvpG%3?}h7*?eMYKigG)a#$zjT(APsUYI_jCC_b-k!R{B};)Q?sHb-1&AH< z9c}faEJqw)dj@%qQFruHQAq!kJ^b7x3uS?LA|R*P<{#4^xMMpB|C3lQ?H0DC<2sIo z>_=+l!q|TLGn%mq5=Hr?D=3)p;I@oB@*mtPGuSuf_U%b-jHKd>tnHP|X+cR5yX(5X z%;b1xo1c*@o_)T;{jn_tjl#kx^ZE>L%L}SQvlLf_!~CT{-;#OOaDQ@J#a8#@?ni?}KSzQJL) zH9dDcsx-4IEAt*iXT03sx`RDj?G4(?6v2(lc(zNJdCt`GLV47&MypdDqmzwqiJ^J`kfZ?9!lvkMG zAW@hPMl!k*m{yDs19JJU5k2*9ExV3dhiv!CEcRq+lQmzQ7K6nmJ4r?s8~?%2kTq>g2IKBoEx})=FY3f%byz|Ck;oDS_IfQo45b zY9$Ue57oHLZ_GH!VJU;yY1)2B+tIRg zz51T4{yb})Nn`wIz?)Wf3<1{u5TQpF)AfpjSf5hD{s(o+bndZ%E{3fcse zEt8QYkuq@PxfkH)q4|}5^gLP)V~e32XjwUOl>ELSYuW@Zkxu0shUR7zd|ZK}qCLWv z6m($DamPpHJ7Dmk%obP6SP=xcSYhVK)-}NoJOq}RLIRL7(1}Pp$ur6RVl6^nrTa&E zDC>?4P4G&rq%Vu|Cis0qJjAG!%$)Z$#e->s3;y!_`{G5PBb~muDhts=jasZX*;eey zs*-K`u53+BOC64`vm*T|rFV5oh9t6ojf{WvN8fy7(T=MGi22j0PM?RPG}@0K5NL0; z*Mh08Em~mskED>7b}_wKWFjI;7hK2=2&5C5+0R`I`c+IH0q~b?_2dIB`yn{JU0O-_ z5w@tns&IT?K1e?Jw8ORGSLes_QQ*aZQo8{wt27Z<^!g)nU&JnQx>`B|;DuD)@Z2 zU4KAg8^8cOaj4-H%+jjww36)EMw{HHFdTi;RSFc`p8f#8Xa!LBN8^4Dva!(#5xtnV-5J1v&e9oP%j3E!-w8f-FP+{ zxrH1pi(a@uz7gYS1e{7Z5fs=-D0e!vliT+NMu|n121)kb7>u;R^7;MHJ%&SH9xnRL zNKsR`r7ppR5hjw;Ge&|S32r$w9ARho?ZWpAxcRDf59X#LJn zclpU|XgD7n`G!UMkxzq?H+~h+-D&8*(rE0!BS(Wc8rpv4eRcpdHhascIA_|5=&^u@ zN1_LnAJJhzhiRVKiMq>8Y(mCO(u)XfdEIFy)Qxsh)cm1-HGHZi z5JvM1H$gR=sRS4csj|zdcS7B1G+@H%LO~OVqaJBNe&|rA#qiHV z93HLGb&GaH8zoxM+Qu7og%^mOY0{*=dkq>J}GbXsDS2#;!u27?}1?D%na z(TmCh&mIOIEn{*74W0bKl`mMR_4P3;y0$EcdJDEH6IjodO^zEOQQw^Ymo^-B9-QQ{baEV(_$S63A?;0#aLleN%1?i8 z9bS%a=Q$OPRg!p8;FRAGyD8CoKU>fX*bR=NKcC_6M#WwPne}hygI^H+hg}Z`%3E2F zp!|wTr3$jqSEO%?X!=%~Bq$uvkY#)1P|sddxW1jAHd16Ko^B?MgNimCRgocpZp*>* zZ)XKQC{1W!wNi+U)Oqv_Xk6F2+{xqVvPO*btcmM}ilj{z^#1f)oQ!bPRo?JvvmOIF zQ;6lbGH5lWwH&vfuO>E8>1%(Sj)Wnb#DW_e7&rwtGpjQ&e507$l)J+*%aykpEDe!* z;Pq^Qh*Q$MdA_ZdqO!d02gm^$@nO#50|m;JWEd(w4ck6Zjna$r}Qf@Ut- zV9s|^T0pu#lYo40fOz~nnhnG&4SGLty$1UYbw?=kA7~!JC7n+dE2jyiVrJRS> z$oj1qP)S82wq{-_Vpsm@QGP19uClFBv-gZ)U`CwsPjQ_w_eDxtE|iE*cr#VJn}dKssUWT#YSx5;q?R1tR6tArNGUxHGTR>mAvtnzeZ`T2W-E&oqO4 zG^B0M=WOPu!IIahM=t{o1xII8zRJH!YxUE6n!mb$Pwvy=-sBKmEBn$dP!G zG7^}vXivOd?avkhbZ}vn8|;p>YsoI6kS%TXjZ&?Vet~8qj35BBN?kbC#sa_u!DDY6)7C_ho^IUxU4J&c*NkL<};SXXsdT+A`2Jk>hWTZ@yRd|gfJ71Of`aGNbd zNvg!Kc7e%PH~sJawmgH$a z`;$+9b)?EQuV(uCKmI+O@*L``cu>Nq+DA>csX?4$4@G zX{rLEXhr$-S9~9bTP*qIf%u}TPrt%4Jyh9HNc}BMIO$lvegN!**1R@#N<-oLc<97d zOAYzyzkh$h7Q8k%k0f=MU1uFddlZ@36c>31x)mQ)uUZ$f#OtGZA=!oeOgU*gJScxO zyS{;AEv;UqIM$c?zCt@u(rWW+z7{!O%L3}0?*s$A~vigZHWS$Mz9m|eo1ha{=WinZ=W*BqG>`AMyx@O@M=tE{v5>P)`= z+Ei-!j0Hw3FML16x=L{b6kooZN@SQZRPrY(1!STCz?p{R)r`;_5j3V{fGo>brAs4< zJxqFPhpOdEx~Y1;C0?LMUv2A21I>VxNEhFB6NE-fT_UARFwrGuOcrnhlPY}U6O7%F zj31qug8ndsT?+1lu4 zJI_~LKvJMJ8N_#PkfuPQr@e@8`C#L;0OkZPCK~jH*n{H9|jIr`|_SIA&f0t)w&jZFv=X3 z_A*6cfrz^Uzf`j?YCgjM^cVVyj+&N+EB_26f0F}v@2?VdGFrb6HHO&s<Vt3_o59#$cpIJ6OBor5JxXfJUP4y7dPCPycZ6 z{vSO4HL4K%WtvZ7p94bu+%m}#EobKjXJ}-AFtH+EDE2Atq7Kv_BxpjMitB$1PX2g< zDq*OGprL=D{dNg(`5{+0qTNtVnpb21ZYxf;v7@bVZPxHls)r2T)KxEuA`r;8w2Ou_ z5Lhj!HCt2cKm9|1y^_*rEcN5!mBfw}QNszih$*5PGZpmO)%0>+fMgz8Zb!=-l2dEJLspwWmeKz-?9mbhivaEay-EKqgOgg<1b?0iWLP z)#R;XK~@WC*0Y0DLx!us;TWJR(3_6V3Em2@Mv>JgX}?85J77r%U-JRom?>FwCrEem zQ{FMOW5eNA20LxEHLcG>QNb*mjf&}E0OJhY6QtxTj{u#?bIbwPnA=71*ym|-TAso?k}UnQO<_YF{uPqa`q zeZ`a`)C zReVpY#;&|+5oE56(Bsgcoq((`1dJJwhP zPW21DBB{(Uo#W^o46Q9p*t%4-J8~|;zTevQWw{mfvb)pC!C|d%E>fNqjq)NWD!HR`z26V--0_ISC?n~)=joH2jzTXL_ zfkp~p01UMFZ3Ge=_)KVAfWk2X;{)qjlL zeIv-QN`b@KBdQEtmv>fr?k%u?$i~UgiL^z|tdtKCF%bjW;P6VXb^b9=d*0+@@o#aI z2`BQ3a+ivA`VTWmLNQ=8-^^&u0;k5z}#cmZ%JHssXEBs(&zNjnTO2!vAr0F z%p6qZV~{Lwj~%UODKL7e@V(>M4&QAl{Nn+?dDZb6QBa zC+CfV5)Kpjih`MsSDh-&of5rWwygSJ(@Z2uduXk& z@-x{Jchj$5d{5?MfXho>XfXNBsk;I^M^3mcha0r&GSS&2 zWE=vc@!1Nb0Y^>YkOUX+f6YP3=z-H!@C4MCk|?w5Ml!1a5=a28LsJQo0|4+v^8T}3 z)qvf9paIT9l9>Q`u6502TyD{V4HW9Mw0cR1amAdq?RhJvq#zZvJ1*gZ+Oio z`tYnH5X{1I;IaWb4=x}+WjT`^9VgbhGe`}L zu>xB4q}h$=xkh-4_vVL8~Vr>U<75S-J>z28a8lbVQwJ*(u+ZvjKBQZ$_?f0 zx}!T3O(rkDt~Fjc?Np-NDq-{~=6Xd7sQ{fNBwHu1y5?Ec!MIt9D-7l`zrq!Xquv?@ z-!}mhPsZjYS3rOB{PPT*D9kJD)f4mk4=I$15ZsyNE!k-6& zM2n_3hz%@|KrE7Om`Sy2q?tm4)M^?;bV51_@Ry*s|dK&bik<{3BlEtEv%* zQDw!8aKHE5?|aWZ_nhAkoN7zjjmHvZ%C5{oh9%DIQpo=j9@mqLPYS$eRA9u6~7|TQ%GxBgqI%lY3mPFhjUaBX+xV zBONzOvJ_mX#6o-4`_tQ;@%>+a_b#ngq)RnS-os8kIj#kC(eAe8fzDwn3d`0g>UB}9 zD%w&Do?AKWvT#v?p$oA!w8Iw%y2xSedqga}X(?*hX7yfi%JhDdQzM zv40(rlnZbDYhiC8u{2ThOMy4?I|kkR8=AQl-hhj>0#tu_oii{&|EooMLBGmyVxR!6{9rK4V`BO!c7lA{hbLHh8bC0I-GfbtM0m%4SL$wil zOSVTq67sFfHQhlKTPCfCw#4qDGSR)Y1lz!vV_W3RH_Mcmph*0>qZ9M8`)6fJ)k&YE z4Uy6)IZ%W-TpUlf!=YeOWu#_Yt(tWB0+0RRWkAG{5{R{gy<*-SbmPup8`b|xN_l8k z^^OfZinM!#X)@6wF9m?Q7ht!z(LXWwPdxz63{Q-`1tvA_46_^BHRgci-7{v+m<^;Z z_35=iObnr}M9jjT?PSzLcN{l)Z*Ay8^u&|pq8BAEY{T*dYI-)`x0wBl6xSG)MW7bScx8^{ux2!nMODD?)%E&7%^bF7<7W_On{dOf;4+u2+kB8%p zHSmn?1gaD4?;DUoiII;nKfp`YU5?UuH&Xq8jMoTh7af2trN8X@vu>k;;UWVs;~n~+ zmtoOm>7jV7Gkl&N43P_TbKdQ+3Tfzo2ummDdC`(<0IJDXX1d~E@I;8C_(((FlG^iH ziGjh?ps*uh(!P>1{xp&IsA`^m9o#_=hW!lmo9Y4HK|d@furx5{-Ku+z2`Q6~ToohaXiASCt%b z-8skwa(LS0@U_YTxv^lz= zMK`qQh8Eq>q8nOtLyK-`(bXW)#SeVpB8iK{;6PwL1EwfISGVYD_?lZ#lko#zI7s3k zv4d>j%3!Ju=IOw2wk8*W?5HcMO8-X& z%y;4%!Bl}j6Qywt*wf6rRs-KTuYrG_gi0r6CIes%f?jmXT|0mW7Z)5(1xK2+5CtoO zk?3mMqw`Oa^AFeMuT%Y$VNZ3n>m*^otRJos&!(FL z5Zz-s> zjcaw;R`-0=-$X%7`?_QZ!jyF{3cB&fE|TgGf!-}BfYw&51i&ncy+=0pV}f{U9S?q3S;n8bTAso zxNISJy1r9}H+OFPUR!N9yp;6*!{TEf~yP5eXSeMcAsTO(Fy?686#Wi zb>@=lBWO#;e@bdA;%+hLMID%v)Uo5?wD~+gOPUMy0x$8I_?f2Q zw#46=^9z=(|x6cSeM{AN#IEdDFC+trSnR~J=dZ6eoJaJ*4yJOJM&q~*IV`{%X+ zzTSfiEC8QAdnz*;pOVAJc9xrXbf<_+AxvjDRXAnh<;e9O9ApaUFxeCZLuNa{gTv4! z^cn8CS_eBL4&bmNe2FDPtzif-Qev4mi8Bc|lIov0jr?j%1I0R1E zLRxR`%8J3{1e(O9-DsO0@%B_(zz<9q=z_NQrfJjFiY~J(i_W&tUdo!)DHhBO6u)ko zzRTM5WI3Ti(txy#?&-ecomEFrv}b}M26AwqwS)GWV@4r|(Ld-zIb`5^SM<7K;knfR z=8GQ-J-98{=C(KQ%ykbJsU;NQuCFpHrXBXRUo}7_zLG_1KDM!`tONjrhrrKT}eC#%Z(>BJ>^K$6fb3_^AaEdYCRF_{R-7LYOo@UF1Ep{Y$Cf-Hs-1FiBDK5Z%UhB@J6OaFx z%8PHbFLGq`WY{9_qJ0+yhEiZ?t(tmW3RVXx#66t|X?3l@WdjpmI+Xj>v*oW>J2a94 zBbqKbeDS1D<(c$Y=FM?FjKQsTa*xI`jA8icQe!DKwhkO;Dyk6;D1sTU6?ZmCxm}S= zQqTSLFeXx5V)bcE&!nVLb?lCyV;o$;OSR8i=*rk}SxyjKw(z2fbe$CA63mFw z!tRu9n?u@fPuB`uwow%*3ncJlSQjN;w9=8?g|7D)%TiD!rdz|K=KdGzIg*e_DW5UfxF1N$SQ!I{K_+9LL> zH%fdi_p5YuEJPp!{y~#h;eLz;tVG&x6CDu>D?l*sWxy}YH7k|H)qwW;)>1b(2FpHkrja91x)VgY@Bp!X-~Q(ZECDc z`MNX_tdwrHXe^UH>-jX+@=apbWj)O*VB?t;y#3A^{3cP#S5DWE5##%^+mfnVig|gQ z@^6r*FXLy^lZDf-@B$%4^QqbN<5)9{^E5cLO}#cP+u3pgN*`tq-FZPrd}H#wE>KUN znZPaG{feHScS2pi%Vqz%*nX(tJSSq|yY!f@C^=ilLk)m1uE{@yk2zkxE*v1|(9+5o z5}^0M#&74GS>_#`^qZle^FzgIKXJf!XH`cH4XuqgwB=U_Rsv~hvjsDn&O>*;72PJS z{FN+}<6cFkYvc8-jM3DD)AA^B3!K9PiX6NX`Sn^SR}l+4_Ak*%edWlw8t6{ZTJ5KW z2XKq-;Hy@Qp=;a*x(fDN#X->xo3v#gUo<>@+=AgTq>Iw2E=&Qi)&=nZUqGP0jkcgG zhw5nlxGZX2UPRaEVPozJgpEwCX?nVTrDhnxQ%t9P1cLN8rohp*4Qre_g8+hjgC`0Y zh|;PV;2ehfeb`F{V+#kq*)^+dJM3mX-2yEPwjT7GdCWL<0&i2ZM6hZ-6|+Lr3U%9Y z3xICb1IPh|N&xrFLs8MPrAekd%n=|_aQxzk33bPHf=Xl+6?=~sPt9p+eup4ElV%df za26(PjazX`xHD@t(_H1bTNR{e&<%0wi*3H3w8+5 zJqg5@&sE|a=Xq(akf{D>ED=nELLA#pX42)paCLG_u+gy_0PZZlXvg*ItT6_Joek6?kx2(V9D|{ z0)%G+uOakdlSUL3AaK8xXI&?ew<6#06VMG>zV9He{~-*7+vHnQlaeGzXB+UMaA~gi zA+Gulc6cU_AE4~W0JB&UAmrVRc-5YZC@=2d@@* z(qTX)_G5RP#0tE~N)oVh(Kh0Plo4qHNfYArCk%|hg>{@75`~ci9}EW`(+ z^`U8Tb>9~_RMyN0MwemIjB$8w6b^WP@5}?ek9bZnMl#ouM$_M}+ zz-0u~ge}fVC>?EjtYzE7R0b@G3WYBa5Sus3_C{L48VXQn((R;eRO7+1B{DL0!Ace}31BN&Ok$Pw z8aRs>wqr^uX-ci(OgVJ;zr~^KY>v-4l%F?*(cCRvO&XIIvOM|?NYC20nEKp0JZ0vl zYM!7pY=Qs4L=JQZq*U^L1M_1K$`mDywiTK447!473xFd*)|PiAX5=b);%-kBFjcr_ z8ON`FV=8nh6FA8t&;`^53v@|MD>5KInJb#os|K?MDj>QKBhm~NO|YRlFeWlCkn{zY z1{e^4C>IUCZW@0?i~Lv=J8|I~?LYFMK6`e@O=3d(5Hp+&6b+N3iKunBEtm>_%nF0R zi|H~kM+nh*;3J|ikftc53eVZx$iNAL$na)a-B4#$o-J@YriLMx=ueRycwnc~=oH?( zEbZaPIyqeUJYOp5#*UrP6=TG-u*YVB8wT2PNz=#l6TWVl9;Uw{rHH+0UtwETH*aQND$OroJ^=HOz_sv7)1$LOg zJ7^X$c76IDC0m3y&WPCp#w^nmycpj~b-jbpasznNXd|wwWMJW#1I8z=z8P(`1#=nc z8-eG9fo=RdU#M_&I@t~|N@;vK+KCV+d%}|@ZjhKHIQ8(H->l1i@ey8kmY)b5i20OO zLoxfD7IaqjC0jPEp<{?_4wH547*W_zT}U|rW7q@MiXT0Mq2XGxC(=2ib|B76i;*_R zeIe-BPT)Rxz>jzc5~e1mLjx4j4#;pu&(|d^@l+3*&VyW36H?=RCMR~RC<-5-21VXO zlF&+D@lzpPgGAh-1!2Ge>{M?cULla4b+CsBT$I~xMRndyiCx5TClBCDwLRwn4k2+U zaqGp$k4?=$5-cB>z+cg}*^wfKYFKW7rjeHQ;D$75=pQgpvMIpKhaSw&9M&?2O_&P_ z9-L%U)w~A)IJwS)pU@t$I-ruX#9%lM;gA97nZ$t#=u&m#*udepQ60DdXec?vVNDk! z6Icc{^n(t>MWltr7*xk0O_`>7NXn;gM5Hj&u8^5~>p%@y(a__GdCPy5{Ilktdr~2x znv#MW@-M-)UvwIS>+J8g&!|0p{mO4NS?D(-wCT@a`2(LBAah6pKVa_)x+HsE=)}?0 zKPhPpFE{;16oih0KMeoDU9E1hEq?k5otJ zp0>aY=<_vZ2xa7}HtkHYrwip!+rDp_*>ZG;-muth93$4(RezJ)jK=C^+0pyd1v0v-m7hLBep`&ndL5hlwJGQQ0XHJ zM4VCVF8zliolCjj!)PaGs`Q<2`?0q;jD4Ns#xcjr0-cY35=GwfBzAPxr3Q3V+8}A< zvF#;`qu5EtiN9~^dli{MitcgMoW{wES)U}NNIw70YfDqPm+C;2JzxhDw7eia3jdvU30m9={)q!b0Dte(|ht z#{Vss=~(9#-9F1bP?x}a&ceM=`c|xvuUFckA;Ymb6CG>OGc4$?XNx&Y=ZWmIbf5-- zm89jPXcS7DG4oXFl@w@+SCp%HPxzMNawupn#iX##7QU-x%mBn!wAsjp#uRFi~ADc|CieVHz1vg;{b-Ft&<&#`@XwuQK%mYufcGtk`^yRf5_bCwJ* zUZA*5(tO|c?8Wvnb^`E8x~3Mdw#Rfcs3mO6*a$i5>veS_*Nzt((by4J?h%Za#lbY6 zlp99AzYL}bKT&Og)@JF9+1(eDxJY#M`3~ldbN_5p@l=O~3RnBpYI*@pgGG45xLhx` z99LbV_z}?Ri;w9v*+b8FoyD%_zcN*;anvK8u^H~}o0BQ@PJUv?;c_?hUs>o(icBgd zJMmi=O$_ZIh;d(;t~t(YYx^jRG31Dx_!Ip{w=UAR|9gF@K~%hkEhV*Gd;AHRbkTz= z)__qn3C%MR#FxaGGzlSnV>xPY!J_BNsNt7xgFYg0a{RSga{Hj!I+5D zr8%1CRO7%(4-Kq7K!2sZz1uQofEz!AQ)Qi*r?EX|4Xt&`-P0C06wL2T=F=)tc8)e%S_iNfU9>Sa58d+ukgpJSzm7x%FDX`QGOwSG8^-P73 za^gUGVF&`CRX9~>1k;6_u{!_q7vmc~;EZk|896XcuNZY2h%oILCeWd%RhSRWR$nne zOb_j6NIO+GNV3%lVKgvs>|k0wlHvjLc7X#`;|zIL6p{+DE2v!1#h;~;?I`_fPYGk+ z5)4>#1F!^Mg6EJ&;*C67eWcEGpVk<`3NHN&Ug3+#JXVmv6=@MP)2MS6{ffb(X2_9ocS!l=8!svfRh{jr zRV((-nI7_INGpi$`pX~KIFh{R-fZ?L!y~%@Xl;u9b%O6yx|tNWdZhC|SNs zq_oolKfGw!A>y#5ueN+N^o{vER0UmCX2pS;0S$O$Y_CK4Of_xBrloBUuyBOB^bAzZ z&EmR~{s8EwR5u9HCXpfzz@MP3HV>WZCz_JgsfLRHjYc`Ed-`E``9*Dl!Kpy}gsS-@ zHBuE7!obdaPOJRo7f)$BR#w(ULx)S<56{n~YNp1X24sFaZ~G*dngT$4`kEQ#%)=p9 z^?d}+euJ&FNypl1=27Y$)Z|{? zrdt4je4z5F{uG33jLlGR%XIbD)Iqh`bPWLOFFG&H>Y9NLSLV{PvdlyR z8QTVTa=MtW(#(hMV*`_alhWISn>EIt$m#Qc!g=r9APr+hMyJ-`|eg8N|(=tk|g6!$K{!9tebhz&C*HO+{**MUW4aNZQaE3VAL?k0;V{W>B&LA|RYy0qRf3nU&<(wjmi z_1Jzx{WXl{dy|#LxuIBc$7dZ_u!%3NfzmZ^{8X%Zf>p)R^^Y|pEnuEU?k4Jy(v$RA zS+IM93R=QU#b0Ln^7k8)BOsI{2^FE;ylr|=l0CLJ>Z4yymHaJTQ-B($EA&j)u|tX; zcqGjX+!52ISRyf8xA}9`W0FH*nPK8p;(Q2Jgv#Ue`abnr#lplU-TSW<^R;Y97|>OLt zG^nZoA7ig?P;r5$dk;e83Iqu>hw{NZFnvdL%Gk?%kl5+7(qL_hbc3h^&p28-c=d4j zvkK5hV$AkCq)@dccmLGu8-Tb7(U0UQE zl)8gzU8SJ-Hs`a~ng>RBOuf$Q39y-@D`*fYUS~zdSen))M3gq7hT|I+TL>3#I80rJ zFeE2-0A;N`NR7$oW09O$8#UNdMVeeoiBjBY@h;4@UgUNa+%B8M!s{hRb|}_xf0=jm zci=VT+{o+#s$97T&oYP8gP*oM&$6e(s)T{X^%9=fXPM(gV#!WA!v;n!l{InWL@kL$ z)?|^DUq39sd^X_1nfF*6dbZ_V2yi{CPB{jJHW&M%(`EvE8;|Oj0>jwahQ=le0<-~U=#3_AYn-~!)J&@iVLikq3-xrG{-`asM&?M zIiiK*GIT`Z&A=5B78&~Ih!$5wU4S(N53UV-2b=WN=~K4t-o@@Uum;DykUC;mxPhQ+ zMBW6HkvzCyd!<|J08^*8bde_=SW=W399MFF{PU>l@vr}MYS zH?+Cq%F3@;Y|00jVA(2;DA;l{00*pk{VinrS7pMwRp2Zqb>y>U`_9N!nRYvc$nZAN zig1iFxGDgf!nZSa{J^#3|Bo5iJC)-S7=G=J z4;jFiHhfkBP(5cW-oYF{?ZCD*e)!bDHB>%B02uxrzg&LY>d%c;QJ0&VF8Ln@*tpBG zH1DdzJv<*6$gVOAhDL6}w@M&iSs1jP*6 zG85yvQ6NAri62L?7XecX0dWs>TqEfIWa40g!MsLAJb0_eq>fL&(LY}71y&S2_#P=^ zzGG}kWd`n*iS&;4Ehhfn!TxY>g?<>vpj-0%(DUr*0q#9!L+K;3w-W8<-Sq;=Dp2$(rh%ku-`7D-vH@8Lws z_%-uBaH7PEaRG2h7&V6jqhfS|8-N*-rUaf8c_>^zyy!#99yl(1fV>3f86IY-{ucal z4WLxvT?iPCDS9!x*F;^8?ZyJ4<0gKHw!{w!buB4*#vlA-La59lsRZ%>*kF6n9?cNHlLD{>SOheV^ll| zj%m&+$VHB5mXuk7!2C?N@yn#482BPFu|*!^L`r$oVbpF0NOD5sCONZkzQ#yNO>rG# zJILEEDZy9L1|-#{w4v40oTSbH)?JhBt_hCBY#4=<$E7^6)d!yOkCii>*{tWruMEsZ zP+{k`nXcHE?7+cL&x*2U{J@Abm8eB`;B^7=aE|%MH>VA0n`^~et040HQ z3RP`Gy2=`nu4mQxEi`N5v!<)niN<-`veQXVzp$OO#6PN8evD?hPJU65IkJYf_&C;C z?fF=LmcZHhV4XL5tQ~DY8<767Gl2;Q6za%wwdy{%+ROej&s!0x`82l?x}O@8-(;)e zu~j8*(nUuz3{0%%Bb_67nqw=V`hqVR)ZH#x=Y+Y{V8^0;ai|yL;EgL}SMCv*j61&d z`10pq%QM$$*R9y8$%NMh2jNyHpa*0P+$eaZbFf;5rHCkhT>RlK1_ChLa?RbaD}UX} zm)#x&O>p_!rt6|Kmo->`cwDRe7T(g|nEIPTBiK2=&1S*}t_KEFA?F(3q{(53+^B}jf=zJKnh=IzTbvuD`aTe#=J z6N2U@({+k}lJv|DR^<}@3`gdqF#Z>9jRjW;X=Y8^^Ya|;Ap#b~F~P=VIAClsj@=U+ zqD}xvu*&AB9EfJWDhuo^zo+waB7V4moof^!p9?nqnUC{S?2-1g3^ZC(4#9Sx!IkR_ zr2AGC$B9~d@ene{Xsfd-2W*IcUB>Z>49OjF?(r!pylm(Z2o@Dnd5pP|Wv=K-E-{jv zcM(Hj&vH&9GiBZ1$m)GM>k*`(`~9-Aj`Yy}U8#9 zlNBT)8~>h?7b%Vrk_Svr#o6@Kqa=ej7|KW zG{!?p<3w{SwSM&<&`;8thpw=8LpIQle)hvygB`ppcX-6*pZbUKhgioY_L~e;K^YvZ zNLLfPp_muh^jPFN7-GENbw&?f%np}9N6{QI0TyYMZE+Y@6&|0V!U8uFUL;D;BB=?# zhmbV*FPSUST$!zqI+}O+z3Dj*&X==tT#FOsL!I$C-L+>$`DaC)rRLJ2@WEB3t>Kr9 zN>EvJg^TB9dE(Y{qH9Riobs7t9_#$ef)+_xT;Oq=O6<9e-j1UEaM>Q80eiBB4uE!9 zKz!M0DjiE7Y9@**@|m#ETH&mrEk0+StGTqZ>dq3fI1tBw2^X5&e8M@3x>A3*^ST1{ zsHQ7Mozu`U?cA*6&#SvgD!uMLcwd@()k9l8X}H^?hv-YA_`P@UXg}SkH*@ALW5_5l zm(euY^jqcrVH_-<->I!tGgQr{MzMGt=J%zx=XX!K(G7GTV*FX0r4=o;ep@p1kf0OY z!CjUETmz9-r{W_4On6$o!$)&eYu25*{^jq|2ZMpR zMbT}I8E5^D2+5MiF(2?JJhz6IKkd(CS2SGIvjvke>d}k=lgW}lC5?Ws<=V6qOA7f3 zVOVvxOL5EAk`p+NPZO=XIZg4X%l3b|1OrfOoT$Lsol5|=!~nNe(m@Z!#b7W32){W} z&(JzLun(n-FOXr>B04mrNy>;YHTvbmZwG2ozDUPw8h4(3f5Ki ztVb}np7%qxO>Idu+LCs`FKo%0(5@>Oj}YuW65aensZZIht6mH!XCzzpzJ8 zCHE`6s$PERaoZ`*`(dcqAAAF>!9y`t)&;b{a$SxRe(XAO9R!A4m4z8RoKWHX<-gva zSFT_R=>5x|WLrMF)EseL%T@C?V`~75Tr*`hnqR}GrhD7Q22w9Id$XqF3duG}2SF22KKz2piVdje$o=I!z z=*Hqr(Ut6Xyg^K2Ifvs6?nh6fPe_jz(v^!A)Pkyquk=34z+b(@BaO^EZo&QNG6poR z%Z_FLJME8Z&wDjX`6^jFHVaf%`YNOE1JwqeYCj z5R;Pf{@BzE>-P=qn*SvS@XTB5y(-OLNYg%OG^6P{wrOxTTNuzrS4Fs|E@g7KGj3a8 zf6?+sr`j2$?fT^(R{6^h^{E^^5xETGum0#iCN-AkI;(0Mlm52;DSU>uB+ItY@UNAV ztL~vh;pWl~)~p6I?b1zCD0iVd<}$-{a&+gsA~0A8+?U&icH&|;E&vY9ji(jx_q25f zJE}O`jfS1cL5WR2E4aX5a$do)m;*wP`tu!4?8Dv~(v>ydDlAf2Ia*#tgqpj$`KW0& z`Wk*Lri%R3$P8{`x=n8-ffIYnBE0WB8zne&jL~e`r_dAAmhQS;3f_q4rbX=4Sk^i{ z0dG|oN0;kt1!DVj1gVI^n3-8;g+u^ar$Tl#oI|!dk!GvB9GNH$X9f*Hxn9d&%mr-# zuGQ&s)|ExaT0K~6D#=%Y;fWpi(e;uvMDxA`BW70~Xge3%lW6|OG#~khn9FvjOWJqV zx~r{y2TyTdA!mh=>zo%P{RWh^x>2&53bf~4XFa6@e2Gc-Enw7v@0l*F`M8FY0vD8Z zFyjR5Tp3$I;D#5?@dF+m*IWh}DI(k|XH{qm0ykZZqO_wClAeS6p~8!ZtT=ML z$oS)*{?Ho&Y$Ud`U0;>y8BwCjj4jx)*|)wzdnc~SWqJNmI@nVe3H*D8Pu2v4 zt{sjo^o`io)5$)gAFLEbr2`+vi&8!3qLmk2O&9NCXTsVC1=WAGuLC1?bWL0aNK;RX z4AkJ>Y<#qs;m-2Uo5LGQk^lNn)WNdkkg(X3zf0lNWaF_7#|nqJ78QfW(+XvRPud^~ zQqa>Q+;{%=-*&t>mK@%d93EpM$U|C-7+kAway)AQ-;;9%);`T(q0O3A3uj?hFd38_zf<@LXRZ&Fvlfu2vhEDWdd<@y zux$X-SyTaq?w&G^`ZATDM1JhkNeiH;Y-oFqUj|cHah}o*J&>z8q2aT<9khk>G<4{} zkYF2u^_s_o7uit|1E0+pem39e&!*9j-R!@;vfa~JEPCY3cRu2&ME8~90H7KsCfyet z<<69>2$w$b?5ERrQ}lZB`;p=fW@tfCe@Ck1kg+@bNhml?)$dr^>UXemWjioHVnMUZ zTGj~C2LiGRGjtNcRB;%MkV^?hde<29EO8KFgN~KmOBWN5RSyMPtUTy5DE7lxq&f^% z$X#MD_6cb~Fp0)ya3T7=Iet$i4`oJ|SddGAH`4ZPDZ_<5LduvrC}8b0oH`|$^}0L# z9$f8~$nks;j_ZgLKB8P%QL+#|t0h>$#rGKGt-iuk0&nD5_1(l)Ka_YR%IhI-&Gs61-TZO;$i?_C!dae#+zXzyF1zchK1GI20_rHPUrN(>&0HMp%Q7^(qybT$S8l zB%qk)1TCU|dv7_uA4C>-#R3O6xDW`kz+R_aA8|6A#&Kx#1&F2}+YVq;B@rz-U|`ZL zht^$4cBN)^&1X+U!6B82f&RG=UH! zPyvBM6THnSQ5^U#62+lUGd6MESO^Oe+R{crz^7-n#Dq3daF-bjZR^-xn9x$HSrEDe z;VPjUCRQBsPDpi&V~^4VEGUXXsgVaT``C$GgBMTiAu2}FxbP!I8tMtxis;-FssQS( zKv&wc6Rxx$#lRGfe3lbiiSLf}@f>LwRfGzS5}zBEpwe`I(23wT&y@~hDgw}fymAvd z@^l)XYQlo-1g^ochpxu6iS0Szn8*!z)S|$nUw}Dk@WOYfS|F_jxw1og5H~GyXqHgZ z0@wJr!S_RIjlvZim6(0eZ=2kr>k`TMjHF{v7@l%Sr5sfCk#)>6d1EFKk@-2lK8t(KV(SHl#-0 zTgRu&#BL~drl%A^#{)kth-W8h$OqDjsh7T^PTQtWh&LtuHQNeP5lk$@DwSpklLwlXyHmr#)`zs7ayg`B)jKm?tr~#upy_a6*rDmeIs>XBExGS} z&r)U}grCm!Np3YqJ1TIYuE?<)b;F8nEO-=e;WiAniySW}yMkIzDwuBj8Ud;>iLHwq zc*YD2MP+)UCO{DCh!>wJWi)WwGcm!_a=Mlxdj_U7nGQa@G999vvQ>Vw415=|C@hpagwtw8YUNu zt;X~N*vSddmXiQK@PwCuR~)n&*t%WCSjjbN?Lem>Xn-|M~&(*K4|3u|YBp|_{dn+CvFBFrx8sd&rPOfnA@CtR6 z+7gZQPQtL`sk|!Sf%m+`;6MgAljMsH*ZOCl|3*JI(*D3IuZEbMebNHC| zmaqrdBhYNw57zo;AE}QFx%ipK0%)tVg)aNVY=4nHRnh$hBTCG7B2TS+`ET4QLU}zj z7}G-F?9Ot@-qbBOvWTyFkpUvUF}*uWO#iv_S~>FWMw0{hr#iXb`CM+vbn}@Pp;+kV z|8v`mnZ#EaW5Rx2Zo}i|s58h`;u>8)^!*0jeRmwSvu&#V{c=ZjXIo{ewlxN=Fxb1` ze8)das|#9=>g~Q`_N_Zh@7r(MT<7;aK`RbM_Pj`jD6-hlBjkCOJ?^o3 zclFp$*p}V3VAyV62lz9O5@qUPb+Fu9tqh_Is5xPHS`goJ-|3+<4Rg8rpuJgA8o;q zPNAGXk>Pn`1-zMQRK14jw}M3#@D?=x;5{=FA5(zsz~Z>50iLP)T)&yn)ztMZrgovC z{juoa;-x|?pQ`vaJ(;Pv72~~RS%7`^f$Lr=F_IF4vBYTB+jLLm(%fr}wE-x(L%;;= z;Z1&$K3^0WT`5s^1)5^I#8`vsgTVmPGqJCgcP=|P`y2K$xq&EamP^-FPs)o8Zz7!-hE zC*Z-U*q2+gV3Bvpd5PYY5)&ygnM(96hB82qKV~#1@TI(Nn~JNt*?e7t6qcv;qLA|Sd#M(%ueT@>j`k+Yp@d@^^$#YDd$FWcjuZ%vCKeaj?bau6zd+M`@|hQyEOTyOqn zzbqf`7Kb=RIb}hQTAGS?V zmmjfhVfMxG_1=!JmT|VA=%z;p(lI^FUXpzpR8PH0efh<^cL?^cwW`^dK%&dbmIDyX z6@sQp9HaQPX-m*0SCDD);jBpgaM)%|4q)yaSl6_BQ^9x+$eSZS&bG|TNCO2o*fd+G zShK}+7CPFu%1N`2HmEyF@%aSBquFl@lLQ0fydEJY@)Ag?2qhPMZ#>tRv}x++_@zkK zV3w7>XDUGaBQ;&oDPwV9FkVHPDuckBUs1a~UWk>ncp=R*fX-F}wTL0_Xi!^VysK#< zIqQNl!v6xXf}oZ{{6TNhHNANnt2udrSc$yA|l8^vGUG@R}{?fHD{> zUrmLJB(G%|XbK&-2qb}{6ZH*sH@nz1=Kf@&^w+ZMKtsf|08#dYC=mU%Be15_I2c}= zp@(>maHZ{`Fuw)^vZ?)@90pKq*iK z*&ShCS6AVfT5Hf89BIjbs~4LV_lR0Q@)5GCp@@h-h2(tWUo`xN% zr<*+0mOFNqX56+h7&U(loLU%1!LAI7*=DddXluV^rf`&4a5M7sSSuOmtSZeoJ9HF@BR zBgrKJzl-rx#4_LER7f`N1Dd+s5zuOMVjwQTYPOi2KiA1dol|`QRxI`rjwsCX*0 zuO**m`o7Hbir?(fnwqgI`(pv;hYc8pK|ZgtjVdRP-HIPq_+M@U!uknP z^pGn2%G*h~uln?3c`J=}J_C9e9I2Z6Yn)LnEj^62jP6m-NNRfziFx|`T&e7`bHT|K zy8~x{KX5~fo21;z=c+Y=zTp`0HONdZ{w8HeQmb7dqXQPx)udl;CHBV6wC4WD#6%*x z&m6j|nf}2SpTWbYczuFoWIUTlm@3mxgyG8t+c&8I8VSbJ0B}NW5sqXRA*78>LmkKNJGf#);>|d%;+k)>{RBmbsvO;W~9A&!xk7if|u` zx=KhW6jGk$C2`;z(Ufnj;zUH0G5@ooN8)P)2;gFC8BKq)f{voi#qD-Zf~$fbC>I0W zFyY*RnKwq#Bb#nXao{b-WH1SChs|kXXAuw+5I2PF`(diPT|vj1MYp3Fj>s%h_{+X6&Aw}f{UPnpOUGg* zOnuysm%^xD>4b#~D2}xTc!0F|GlVn3=~V0j`21$oqJwwXY}<0GjWS-5nz?D}6rAh# zijbz;HdO;$_q?*$;0Ny)=|UO~&2uF{wq>g5mK9%42Y9ZoK)q;=wEYP6%BnE$b{o(S&{l9#G3Bs6(S5;D@J^f?t;5e!OuQJk|tLp@m!ekd>Cx^$hn=fWHTJWaed|O==Qa?7OniBC~X; zgtcws0?qiUI3O3Unr3eVsGtv!agntyimfchE7fzcq^`>A8@%EJ&D@=20sLHp)|^+3 zS{hHHNJ+xQ&~iDxu`ALpOHa&} zs7*;!FiGY*ZTIIRd%d}8I7WH2%^nWWTYzyqRdp%YnGJDg=A=f-n9PNO)-F{vcH{Ft z(5`MadoBq^0FF-36&z*lVZ_Se=wIRaB4aBNyj5A4e@z%dvGS92oeQ{lk@R7}`8-3L zm!{(7p0TE`R8IPi$-y`2b78#ynGRUHBwJYeh#QLYLqWoX)@q=`gpEy@qqvO;FBPy1 z5W~D_U%sy`{|dsAMwfB@+p<8zi>UWKT|eq_42l(!0>$AmRwaA+Wt%sv^lH{QdYwH+ ze<~5qScN?{*ymISKMFa`o>Z(t6|aLd=P_W8qqA24+kTeZ6TTVk>+NX~(YweUj}2%z zjB~G>05cb}VO7vuqFEnCQzu9tDs-m^XFW)W3q{T_a5&f~2u~{m9U^Dp#VSC`)}BtW>K(mi+!=Fofognh3w?`d&V6_uqX6Q40{?$|XJ*9Ug8#K@I+w&J{XNvZ?5gZ8vNy!_c&?xmW}*(Q4LU+1jQCDnDUQng8W36X9M&Ma4-BBAMwWNw8 zO7;~wAS@NzdRLfV0cYLR=+o0}(48cCMi5v&UDa~7G0r9N z=oV%^Q18#4(Ijs`d3_@Yt$-O_!C7jiVhhh&fO6+%zK|vaplP+2-?2XjT9oT12JQPH zlxVOsLQ6ja5@0TXPPObLs2SSqJynG+yK!nosRffxPHN$zOUk{;W`4|pugqolDpA2C zD&)>!VC*sq#4O46majK#knNdN7XN9@gP z{I$=Zj|E`JVc2SWAy=w~kJL#FW0Yz91KS#kHC=Q-TZ!dpei&d-KVeC;RQ4tIr82KI z#l2dmV5}3(mGo=#0|_7Ft>44{1V_%*u5fjJe$usXmo6q2j1x^7YRg2~ENv+jftzFe z=fC^z-MTG4Fw!{sh(8C|Sqi3~3THI}Ht62ZApR1Nfv1zyNW6#8+;5+)9qFOv&aBf; zv7hc~VNreP@=x_EyA#MCf!PND(YvQ-jtcd4+)C|ZXJmO_JJufyPUSTEdZ4G{SaR$aposGm&Cd( z7C10(5c?xLH;x|y7Ec$HGJSKsUlEunf#t5;lekh)`+I(pDB=4|I$+liIUMzL4_l-& zt?2Vl_lEaiv-EA*Ka=!ye^7N*xE$T5r)%OoIBGia{QoQ&zN*KXb|R8N`Zbt=TGASE z@Nd&x%P>DRZ9*lfBUP@wQJ+u9aBN>qXGGXsug<52Emoa^XXfh?e&ozbl7~n(nr(Z% zRlG>ePqr;oo6G)mqj!GveiEtP`uJJBo!BZnxOG2If~(eaRrbZ}Gw@pWKl`0`@8q6f zDKAbT4`7=z!w+rY7hlcoe#UMn17`(Ua)t!rB-HIa(7h*u-HQWjZJ@*Al`BucOE@fy8d2fq4^xnfbZ>2CH~E_w0+dskU= z;Ho?T#@=Vu{7f3F>m0)BU(SFl;ucHdT$UqXQjz`YNSxgqarYXv|=wHy^k zJ&Aw(sQz1g|F`IdNc92hXeIBZxMB>Qg$sna+tVHC&>V(Jt{qgZZs>FzfB}!@L%Q!u zM2H`2D~KL!yh6rsjrSb1H=yw~*hi$p8H7}x|3JHi<0O7$d0sfCl6bTg!`6X!Q65A@ zaDps><3v_SCxOn<0S^14BuO4<1^XN#9ou6HY#Tk}`%@Cvc@SzGq;b!r2s>OW;GA@y zO29qjAkqPW&SPSEau`!Z!Gjkd{@TIgYcwYNgP-A0WamqLHsXafr{hY~6!L`;4ltdm zzPkg9d48`x#J0COnG@^I;$uy8EFZ%6uU5PQrn=>Cff3chxTHR(i>iS@PJVHxT2GSQ z*qmP75z>zMZkX(JDe7MXVIE#Ie$24FOvOkaBIFkTle*{}h!8Al^W<$ zLx+3Efid!|cMu0Fm>tQybEA3ZhB0TKiqx4AKO2Qpfyqd59p1>1FnBq;ZqK{cn->@R zR=^{9y>9`WoW!#MHT9zjK7DOe91aO)M|yX`3^ng#gbcF``??HQ0*7_!;Z%BZ-c7Sy zp2QdHT#SATOCLT2CDqO1d`q464Ct_!jbo+xD~^h$|6i37SZu1(#V5MbVv*&1mkY-c zKoluEzFl^#O13X0L;|ET4wYaY%lm-z@%h>_zgSrRB;4xK1_)HG(Zr2c12M#HUVf-w zet_pgSDfn7+yOZ&+rIq31PgRhoRk$y+p_R(xhA!fUr@0V)~O)(DU%kE#iEICoQsk< z?##?ALoF7+FSHYqD+QQs1BzY#xpV6EDcyYFhe120WCiBs9 z-(C=J`|9Ud@Bf+3e@nmb$jeUC^0N+|h4UvJ#V=kQ;kM-HEGBzY!|i1|^clO`(pg&r z1s7_$yVj)8(R@Bx!MF#Z zP>0G4$GqXSyqe0E8TOzb=(AKrkbr0u5M6c@UV_X6Ui*_}$sXnW)1SV32Y^%tFSTO) z7UQ=Bza{w1vFTSMga4BRRSNC1wMJM_gBvy8`Py_tGw*9UPwM3#a4sNaa|2a$`3HOX zvdFYD3YZ+Imzo2$^z?HCU}SLHVAynR!|Q(J$D*bIRME=1()`Zk=w}1KauPhu5itN{ zho^&yU`V+89a``_K{rl!%Rdm7QFQvBN9M(byR^YCl~{t>XSZ-QAOzKfo4P7D9BYF5 zffl+yHtYcof~smw*Hlu<@ci0uQ}eiO;K#KyWbKiLon@rB)1ADkPR#hds@Q2AO5^NT z6t)5DQ@7zg;{0!}M@pJw)wBlwpotA9H>>zLJmfkA?|_(%c3wosR2P5mG=;_NH^y_{ z(abcS%9fT&NgoaSVt|9_*C|L6H+bPh)J;*7q_VyJIg=p6yN<>Pf2=@2i@=owC89+O zYSK5SGW(Yws+S*lm}rVM8Eum?h4W^>YaS)Zh8A&3P=!+rbO)qs5>oX1;kMa>py1kP zd22F4-t-Gfd`j{3yQS6_ol$}9w__6UKF!n|tWVP~c;lmK0=7xa&J^TjbXt5gG3=11 z>W*&esDq6E>nF_bvMXr6g*(f0k;9iM2esJ>%-4vxDC-HWnG>6U&8Bg#du!?h15;H3 zm8Rq~2N3qo4>+K(9@(@>3+Rqui$_>YMJ;2;e%euS4Ao{qJ>Q>9{_bQTmIyDBO}3j# zkW-xHhhR<}qq&~&mRfY%zT|D91$vXbK(T?bYBr$2p)1M&gcYHzf29QRKaPQ%N&EOf z_h1Q@qiMI>7A5npG`^!G_XSeWk8z0PZz1W zL~O$VCt`F4-K~{_j3IF*dCGvf3&~u^(b>ou$(F%BO5>OV5866xPaQ7Xwefdo*yY(z zVO@1KUkN*`p%b>?a*v=g^UmC*&nD2qJaf0P(u%H*z>cI()7=*Sn??qQDDx}xkvanC z)Eh)C7Np?O+z}D&0Pj|pbRH5xn|=M4{~>&R-kV+3Jf%CirzmF`Qlt%GgQbfp?P2CK zZ7!$udB>7gLq(FjD1xNC*#ge#16TUnr$@IX@4lQv(`~<;o6&SO3*~~L(2_w zxnZ<D7aRW ze*zb}7AQ>uTu`Nlj^W4P;7eL`ODlHMmboGHT~8^f=tsO$m@KKH@C39%x+2ig`<)*? z!~snbqXT<7tz~%iDoWEGEe@P~Nc{U|^bpYwm63X4FsY09iPK!_PT1_{NgX^Ra@yF~ zr$hVli>z$S&9Et|J(!Ww3}%%@7T11oC5z)2?1#nPeQR2SWbd5*w-V6EV#T+@zDYiW_o_jQS`Z3snYl^&601E*D8gg7v2RYJAzJ3G`Z zbX`L{_-Gqj6=mB{cXz1hzM&nANf$ev%MTuG$(0zi76&k!0}_m#C#n_bq}eCrK!Z-} zIP{T=YIOiY@3w@WVcK^CsYZQDy?E*w9ye=9+Z>xV<#7YBRpaauq7w_STVpy>y@#SA zZI8AmVYEh|N8Q|#>yTW}=mXMTxl3LC78l3RC_!HbiPnZay`_aR9eNTMjIsauc}m} zID_mAS*cdO!3fz1fbCPMHyEWW%eN7ZgZCR!WFv$1>0R4&b+cYuw3C#GnEgiZaI|c1 zR&(Fb2Mwct)119NUA=H#pTJmg)uj%z>UbX95b91rsacLk)1~-mKBr*IDX%VQ&spXH zQVfj|J6&C$UQReRz&F5g3|1eSDmDF^gZ1`u9s`3xWpQjk(V(w676k8$e3$QwY^$5= z*kkg@DE8uVHCxhKgf{5JYkpu(+LX$n3(IDhU!FL zui=jN#ER+8Dq)yz%Fb{@jizBXB}ZP#NbDIF-I8E-aArZ3bt9`ucO20~Y8;1sY=Ch_ zij@VnxD^L1G4lf{RG^QY;)EWHzSA&}$D%~SUNdNOm6TSSn&>yfO;oH8`xvqEy6&t7 z2;RaaJTLG-wE;^W?!spJ72QhhDF_D-RV~yG<)hW39~LDqBXMZ@tQzhR-uoM>HZD`$ z80mw11n1+sqkah(<6VG#b6IusZrwI}I;q#|6rP^INxoMcTpa&q9RVgu$6>*T8VKHzRnc=~RVEldhGQl1gU?~4=CA&O7T9zB^55b#e#V3MV*&OG zc?7i;s=jN%VO*N%^mwM! zbX(dt_^m)c<*_%fP1k;FGV}E`-eR7pclI4ro$@dLym;z%+&LAg^6cwC z>!lv^M#5k5H-7r=9k5Q-QwZL5mBA9PT*`R>>bCwh1vdDFqOCKjIjK0sKc{D7~yEH_vx`6(+VUrC5kCSh>H6(J5fE`IMt`_v^rK}Vm3RwmQStq zY5E4#U>{YZ${C;?#Z3&{7*l$wDQIwL>!QT8+5$;W=Oay=K0U7q3y)(|8yHRWKR*`X zM<@?;G}DqiE5M^>`gno0p&Y@U?*~Ro3RiYQaFa^Sh|xY3K*DJa`O=rvFTQQiS#sdZ zbc&!kx(%p27*>Wo3%JETRiAs(@<{JXTUtA`>Eiya()&nH;|`aX2zlTS0@rajGX8+B zfPm+ROB%a(vX;`c9IZ37HQz;Pj#a${F2fv9CKa6~02k{D#9_`Dhk;5@ldvBuoDrm{ z`61q_5c}(!cVY72e|gUc)vkF5`r3PV8+$gtm+~7EsXIAXYipWDj*Ms!0INFmA8bk< zIe_=3ZHj*P{n)3haT3OucXWBE3M>>VIEb7u@u|V|56HM;&OibI;N(4oU-IQKpqqE% zd;HErYU_TG%#ls`XbkMYrQ7~pj>~jF4x*me4nOo>|%BX$Sn6c*AJX9rn*o! z0~QM z7dW^`-6u_=tU&Tr4_s?7ev)oi_wY<-ltlVOA-@cCBG4M9g?u^`#>%|g(dDh9ukUa* z6r%^C^AWz`#LUJ(|HRhHtli$|O`74%EyZZd*w$ixZFR6bvN4TvGD{LH!kE3?=$~** zp$ikQCBZi6=Kbyo+qVU7qa^etipq!XlZ}2kgh(wy$xk}^!a?+LB`FL_fs>E_3%bjGw zf6VtqSjc8iKa{`dWcBcDE;14v7?dra>QP_x7-{!-Fqvg3B%lz^OE~oRnh-gPN2VEZ6xl(xyd`3>?0D3Fu4j3nG zTGgoKMP}s&dMmSjKipOqIh8l)B4^G}omI9ScEAHX;wh=g(~G>y0rX~GrjKsZea5($ z7ul8f=jUcuE}oy8T{(8%%$|uyU3<#fX5BBdPtKg5n_W3^er|T<(fPUAm3!ysW>=n_ zpPOB|a(-@h<|r5yrJ@@TAe7% zrUVI)`(RuCcb>T(stUB>R2fjI3~dL#)_qwIPzXr@HrfJrm`m{vB-0xCR%ve+;+^oj z#7wE3O?%ju*(l#VlRuXV%^X;FK(+=&;M=8py7ulUom6R3QBSZLomD-W2@l>N+}FbG zQ8>+X@2u|N31-J9i#D#Qfbd83O)$zQZQ@KkpehhYQ!?i3&n?>CzC~R7w@Lwi`v6Q` zs>?boxPkw}Sni#K%?}q)JKKQ!BGX<>yOe0N@)a=4S;g|LEOZV3eE-2CnP5@bV0kBS=?!+(5C*A-yW)fBKCNJ4`w;hQ|-^(x(R= zgC1JU-iJrMTO;pq!oUiyjXc-_V829<>Y;}P2%o^tNF}(&2Mj*$)Y_C$rhRIaS=s=J zA7(jY1^eHL7Ak_>n<6O4SYReSnvYt;^zluR{fdEq=2 z3>RnegvU&hDGc!#=J5r7;JO0wsEXqEqIp_|WVn`C*x|f*o|w(d0G3NR@?^xsWItI~ zC04lN|MyQ{1IJX(B{wiKoe^~75_0iqI?>3{NK3?tqsVZrOBA7C#Jm*dBniSJxsdqv4t9fj?mmk2Q-dNos1;9~C ziUqYGAD-B)5HLw)Yq`$W48pJRGG-eu-viYdZwh78>5O#gOFuH7-yU8;+DpAl_i)_l zC{MO6o>k&v=ytSl3zWdW=OtW}zIOPfDo^)iS~q4k)WxQ;plP10infUsTIw43NO)8E zebfEgr3^M4VIBo@jVcYSphA_Cr9itj^RJ6T+HUHC^Y|{@p!i-3!}W6`UmZE5_etw9zW+iUp(B*{@(`uT zTe6psI!%4VH%(L=v}qhl)`%n;1aE#H81B^TU~IX3~_LS8mMX8}e{14_YQEy8x-_RE*24 zlwg(v@spG54nR3-_V$rZm}LrQnL_rX())Zxd(SpK?vz3RWn`8wn&pe2)?Vv8@4Skf zOMun8EAXr*mSuvb@+tkm6_{JK;u7zt3zcykav_l766qkeY z0wZnryf!6H&ckzFN=aDr=f4La_9D7XA_$E!Xie^u#&)Oy>8oynzCnA!KCMsc^57ZW zvB>$R2?4Glt54$M9HVT7Kt{p?Jp+DCS)s0_uCd3WeM-l_>1GHtTm2_>6#TwY_6KU8 zY4@YcRjTi~MwRwY<@D!1&A`Ap`{dA!h2zh**{Acbk10Ia^k4Ea?XXJ%d;xspKZA>% z_NbG1YsLe!hMMH;o1xQwb|(9cBK(9>85}Y4$lwd4B($eJE~qqaHE$a|Y&(jeq#r=S zVzN&jRqRC99VS1~nYM^RZySX8s7Qg?C$tU2gQ(M*2>k;qj||l%)|YScWW1L9ox2L$-V@b|5~K+<1U8gE@@3rrHueJAD z-^T#01g3Z)PQ~g+L0~ZD^Vg{?$}5hs@ja!6D#MbjH#O$pqA-FHt+Fk}&w;Bl7Dflu8E@3;jkFZrW5Cqmw%i3ZRy`_OJp z#^&>294d05C#^o`xPdzBq;%fWN^Q3h?b>=5iND{)Uc>*5Z+>me(sy!vX_iV`vC*7t zIZB;Zf0%ry6mH|W;Ye!lf+@I|q?RMXa3%HPB()rVXQ^${^^n!(LQT9$YRPX1=?AsB zbKyakoMeh}ni*ff*lSYuzJ>Xbm?OqQvOuW6wI8IMKL@U2M~7&Y{JSFh3Dm?R50fF@ z-6s*!imvu$ra0Pww^_7QuXwqqZ}oZ7UMF0&Z}Y*SBiH!B#=niXoiyNFywqCa0=ik)A^JfUTxS zS`k)xN98QN&@T&|S%Njs$}6+9>!^yzcJ*0~aB%QZYt!@fuj?)p}c!tn2QhvwV!H$}(bnXxe0~ zY;@y!LQaD$8-pckh8FbsHQ}z6yb}Mf=x@B>SLyRR_3~%wHF7}rVnhnPsS@s!d;$e_`mvwcKyOURvc3poMg3r&QI3zup zN@&%*p@aHTlGSma5C?jQ?Vg8N4KX>_GNSlCo_=YE&CV$62+K0El$EK?#z(?pucJ;V zY~e{pl~xml;tYV2vn$V1*#X2SP`!#HHns+>V!&Ab^hx!x*iK5eJ0C~%_ri5BNm6qJ zZFB7B1<4CY7CR(o{KMKJIPIFpVJl96TJ-WH8?9-YlTlvQXJ7gdDImE|-;1Ev7LT-9 zaLkqx6RagVr#0ENupWBD*>O%QI_ZK7E$igY`*|ggQVhPLuCz< z;ce1Ho5Z?*`W`(fq4YidZrM+;aabaH7HM{jKbm|h6Y9StZZ#h_G}VQ`!HI_5U3GI~ zkgFPPem|59ZhXHs{kfS-GPh!a{(e*Hq%qMe*e#+L^iN_(Ii1$Ywg0Ti#p8oiQZo`3AeEBA;)pHx+14s^`77 zrG7Yr@qI36S~dSmRLy=ncW1tHp|w=%&jk*H`?!lr^Nw!`1Z_YggPDD4M7u_w)#{j# zU-JQmuom!k?#%-4`Kkn`QqHR3&zAnBi8bk>Gci@V$Kjek{SkQ&OvS@PT!^HQ_#o%4 z9n1ul-$;Mrxo48*-jp?X?VUu0We3+-!PIqfv5FZDIyVowwU|5heDYipb}~+a%{1AR zvzX)$0xt-mRgdc6cLGiW(6a8Oh5|e-zzduuRqGJ|jME9=wU)m87$UrckARP{>V|wQ z%U^n4KvjE?wd`b_Kc?vZz*^jt?}iSseRnZ>jtRzs_)xYt%{`wBSy`WZ(YOE7JAvv+dm_T~Lq2xQ ztq=A8Ca*1aU!6-2Tk~OpbYp_~;e?ZC7klyCEY+2ocB#Jz7fWi|)3=*z^|(Gk7H;TG z-(sHWpJ{`Jx_I+&@)&b%#SAoj83e6(?t1e_8)EgFUjQUWRVZZ8Z z*W-iCpmFt!=JYM=K|kOvPNuo%Esg)o|Aub{@{$aA7${j3vH>2E*9weH zv?2rw-O?KC2pxMDna9Ts+EE26rR~lZp=YT`YNGo@Rerf}+n8XNIN3zs0pV@&tT6J;%8O*kIa=9W%9r8uVHc0!B!h&6s zS{AllT3^esWTc^OtkX3u2oBIbIp#^5C0EDOb7u?ybLPffQpbdfkb~uN3I5E%m}1fD z7L&r~{W8BiOx|LKlZ+8b8Q~2cVT)y(lCjViQ)AH(KzJ??7bPZQme9c`zLuI{kB-kr z$+}jrlC+`=K>)be{k}aT7NSECjR@1$+?Ee=k#%vcV~z{`mn{`ROKx1~ z^->#GUhRB?tfcbH=gPxc02NX{c1eg5QY^->rt&sN0^0$HsQ+*|n4Tibr#99-@+pi= zS1DzcIKWDjY(O1LuI##$d>nL9SBAWa?V_+(MgQrZD3!P2g6fQZHIyn?qM*c&NxUn2 zh$96S>r(BQxZ`!tly<0n6cp|$5-zRbZBsp6+RGDjxckDft^OsFUFsWHk^M{PT+mc8 zHX3+TK2ndJj%N+8i0Z-9q3e{~Ty>A03UotEtx$(s< zyA$hz2zJPHlsi=Vn|3$#Xx)7z6pTbmvF^+}Gg{HCFn`)S`EF#`EjmIq_nmLgv0!GQ z!(oDMFZ8E!-&>~@Z)?qRb%*v4uRL0t$|nKqQGq_D#h&-WKaFB{=EHGXOy`=Ui@{Ww zEnJQ~aW{2Ts6xc44{1!tW7(Z>)W_vJ>x3;&3&DDv&1J55R!+mcX{i(tVklW#cV!|s zafgK9eUE&dg*j3*kL-VjT;v zfQqS})z7M|=fFtdaw0IKz&WvHmIOcBCk%*IU5Rr5Cr~jR_ude4Ct{Wu_@!qEXeW0b zp_*zG2{KfkvN7vN3`}fY8fVmXG#N(r+I(CF{o`ghP+jp;XbTxK%&JYrTOIx;8u7R(Kom<86u4x4dCunuh1kcKLAWkH45q>)~)-Sp~j;O&V#hkXorj2qUt zp7pLgz{b1BPLf&Ji1Pudbv&IEN!)bC4W)#WQd}#PQixe#X(Dljw#f)g!Msco7VwIZ z>@Ve~9fN~#=AnoMAtzwP_3|M0ZNgT867V{4=>ZXV^A{txbOtc~JWr|6( z7k&)_04B6#=z1DI{S$8YIv80(Tb0}GhrD4{k`(G-SrgoZyz0=;p{xqsV_C~|pnqi2 z!Oe@yFZKhKd5?u-t_a!NG$h{K^A<(WeXq7h32^&%z^IN);_c=NM5+=jUDzy)!Hh17 zaaFhI{a)9qW9ij9>xV-b`!qNA^m)bpe@7@8jY0alE}KtE>0m2H;sqM0F1Lk5uO!ck z)q&X(qpaMgM}lg?ofJgi+wSNJQl;zH)sZj}juz5j*(z8^>`?3bbZ^!7Nvfnu51fiv z_9AR8;y?K-8iwu^fo}YeSL`z7gVVXoeMBH^!nS@S5G(Q}HHL~Wu$<&o!f7tpbWqZ@ ze%-;b^>^xZRFl`9{y_{NflB(Y%WkO`NH~u^1~|d8WJ6j`^2jQ~Bc~2|RQ{pj44@oF zt=;{?Hg8m-TPg&!mFVYs5A`}V&CkA_)cdFJV$QEW`<1)$ z9{Qt#TpQ&xZ>cU|Pe&u@^4#?DrxqjXUZjU)t1k1qo7-k5Za%A&2*j%KPz>&b2>4L0 z#e}uQRY^7eYDXT*JslA{NIE6SK`-qY_K5X5bYKVFy{3EIaQ#eMvmtD*8MiPC8sgyJ zvbv3f1B zd{(Vc&y4PB<79bVaO>VjIX2rv&Gq#t6;r*or0%}z07a+myXVzvE1|T|t>{d7D2WQH z!?ShouVR@QIO3@qV_P}iC-eZsfWJGR9~Yd*S4q^0qY|1<98}2sI9D=lOCj~*Y^cZv zd?xOa8^3bU;~0pmDOMYiqtu*(mVm7!;q6=_z$>q4vOb7(5V6!*_nzlkaa$3vQdFA` zN>j@^@!`+QQhazHWLLzN*-P8S=us}Sz85aMM!OrH5N_0zi|13%PiY=V;laA7!%8DJ} z*&Zj>Q;|~rDPiNZ=VLf^4CO-1h>nhC^(_jyPx7sXcdN~K9!&SvhTIB7_a(F`y-+uV z*=njXZMt)c%&ZS;=BoP9aY$W0uDMoH?8cYkORi-Bx0Tr@w@Lt-&QEqun99_osIf%y1{Yf-_b_^2O{OjPJ%6NU6kkB zi0=@Mrpz{UX^){ZjLz2XDy!d0D(+wEG?XtnU{DNdwQ=@<<~Rj^s=G^7FNDg4_mIG} zLUJFw5I^t^S z?zOGZnb8|V(mV9GnZc&9D*b|^vfSnIVW*6(hXgg=C(P#fT{agYW<)Nn=twRU1T3ik zLtPzPp*@2#+!y8h$b+>e&gV!Tm!)`aXtFY-wwFT*?s68=J@=3)$b*l}d`0l&p&|3x zV$r4dW^;cQ7z=9^GmM4R$z>}XClBUBayvk~Ln}X&yrw|%!yTqpmS7%Rt2$zGSP^}4 z&z+Z_K}@llkLgDyo-apQ)BZDYFjHh7NIKZ8z37!s4KgNqEnjq`uW| zEF*j+%;ao9=Oyi*ODH}8<(s4Lt@+GfEG>s< zR8kW2R=dRycuJ?GIRv+M2+zsVP!39C_>s^57+8;w)X9}c-P9xYc}h<*nH}df82gFb zYFGOKlId~{0)+)SC!Hm#5TJM>5;}yXgL*Y8?}P|(gw}K}neSvvD^O4p_%ZW@2Fpd; z7y#zDBf;c2?e5d|X>zF?4eKQ3bPS8Eze5~G-Gdx2Z|SO1cq8O1Ml5LlRm+Eu3vxBy zlgRC>9uog?sjBW%C_!37^a*cg9M^eCs78SrIz_5FXK(8c2}CL+l3mQFRlM*8^?H+3 zFfcEUt;Fl9ZGAMkG-T9CSxZhV6{0naD$5H9?dQB$mRxIb7Z?|%A*N1>a@bjO^>D*E zOr$yHbCCHtOh*FXsN=1HZJz|GX6RmP9ePEMjsA~mNIfgn^#%Tg$v=hr` zH7IMSb(RcO6$q`qN_lf{<}fLfNiHa;)HFUcp=5n%GE8Zx)ip_4Cz}FINc}btDR-(P zwQbTiTQM3{eBMa;f;e>1Q~>PDM$EBM_SH8S+n6W3GC*a7`RPIZ(|PE_uEiYS4S^0E ztjV=j(vM}kw{r6aiibT1>LVX+Z`+a_a z@$;1X)P)A%ltuNo={6g+-|cdTJvchO&TFiM3Wm+PG?W*7L}~<_ynV4lzb(3Uqu7df z{RK=@Vl1-1*O9>+kO(8pbwm?5q26&?JVHQ)qZ~R#ywdr@Nd?rvUCh5t z+xjSM?@ejN8=Za8XSYWUzmT205PbQ-$W>8$Hxdy{r;hfn+@_m|ktxm7ud&e>z@*CA zjcYOqaRRk<^3R(q_l{M%EWk=hz5~jw-tb-WZkn(4lva)FpBz^ z-Ak1Np>#OHpddhdl9w@e*jRW}Es6T?1P$rToAs?3ENAw6ygkW@O4>vNO4LRm%XW z3oRRo93@n}xR`nGnR^(WjK?v7*}ZnuX1QG_YT`HnntW0e zG3weaT?w&-PUhhvIBnLDQuU!bo4>~hUfy`O@xJfE1wNk^gd>Ev<1j|I$@2~BlZmL1 zGaB7?%#MY+u9CYimTq$$7@v1K2wJHQWCb$8h{>cs0LcQ{D1ZK>Nb0(a=T&rNFkO!= zDwFUwlKv?LlwuPL?r1_&i3Nfp&#fgd?8PT3H8198Xmf&N`}LU@LuOUgEZsCh+w;7L zD>CYbG|#_e_Hf8fLo%sJB6x=_fOl>$3c4ccfnmDYYiiO9_?2(;L}Ox}6petQH&rW7 zd>1IkBs$3?SfL|MuEPHW8*(dgXE6O*KH*2EurM&#uuO!vq9WJ0MMCtqzB^mea|_${ zM<#w6DjdBu3FlbiZ0Loo%M8;CVxiTy)CS`$&7*h9?btPmxh)k2OUaE1 zYDm1cM3)|9z)t@j+DdGnG-^5?ss&GD-eMIs`en^0F7aWlHfhNzEgEDMbv$uGr*Jl0 zNMX`92G-R2$QTd^{1BQFAJU*KZ#I!N`Qx->FX#W-*WbJuzySK+%u`r^{x|)N;@^&| z@?otY1Gq|g7h=zBSg-ct)=K#F%7>4|EHrQY`7KFmX`QHRTX#XW3&+<{kJOJ0-s_Ur z2>m{@ee-7F-{K@p2n=Z1i>)-HM= zXA!Cv%$5)^htLk)qr4Y3x4G{P@s}b=)=aS#EDVQtjW@1+%V-}`A4RMmi9pcGjw3@g z%2|3#`$Uv7WVEKQoT&1spo)EMt^3L!(@)S zY|`ctn=*yrqb1!ls&&#)A#0hgP4B>o%zyBcI%r&P)X*`oE7jffl{*Q{T;ViSlOW9x zZDuufOJY5t5|rmjm`|GmquP{5LYY+e;T<{mE@XvzT|WI*gG1!$yBSGIpUJ()j3_&D zw<0R{sd+5-*tQ?b*XFt_pZ-U#{8qgDP5KcfY4u!{>#eG;|41Had|mHSAx`8AFky#B zd6o0?ZsUeQaw)TTf*%>K00~h+9Lp=2X`|7Nfi_lnDu%^N+fh2X^sWg}+#r%OW9$px zv!wpQz(-&4XWBi^#scZC&gQny_EvM?Ga}LQ^!V<}U80&x#+Hlu*jBpXgy*@t_nqu0 zz<(FBFN{MPG5Td6-C=|4Mmj5>emhohX3ve##k>vvW;gB2Egf2)%gzg`f^2B)F6y@L z*Oq4Ql>5Qz*%^H?d!3|rDUI)EGOh)jS7nnIHF_3z)!&zO%YatSw&`%4)&E&Jr2b_$ zKn!$%*d!{MRWJiy*$H+_{rxiF~_av|6H7j;oST)h!JZ+cm;!a)T&YU*S zwCR8UnsywDH`+Pq8i%F5?3`=p6||+JPtU%)k5)KBp`kQZk*q5E13|MNoKuo|pAv!s zrXa04@q$#3bMdNk9`^JwSKdq5A08t0hP10x;%2bS9JH_K0*}*_DNf9>79Z?DD2`fds_JSoYy ze5zf(Fd^~rXU^v!qvo^5G}3*NEu0j#Sd4m2-9n6l!ap4FW;`ooE?4?Gbgj177j$Eh zj0M%IA?Y|DIqH<+`?EGL0fy4lTQ7Db-inHo!~bue7)z6=uo61lPoYs2r(@HA-+CVY;Y~p>3(n(B|3YR)U`tFqD3M)61_x{fkmFj**~0jz-+1$8#2X-< zTJ*(9DtdETnD>mVk;g`19=_*w8aL9mHe!FyCreY!Gpw(g?*T2Dw-qxT4xCiDCbXju z(V$A=^W0bJ6!~d&>BP+u1%9IPz(<14H(C@n} zRNleKrcelwQMyTEvuB%sw)WyYKH4~cJZXUy^n1n2qDEh;m;9@8iJU!(O!~3v7>?m! zzS5+4R{RpnR6$~z@{I78(*w$(yqjfzIa2=`uV?up#NZV5q71{5Z_T2g@a>$caB1j* z+9*NdHyeShGi1?qne4?BEo}3^ke^ifx)p2e2M=_}k5pE# zo7(3EuK5^GWY_&aR(4*aH?o)uZ zd?SvVn&_(F1)hR`BrZnXprc00!&&)kHOhY!C)oTzmqf;)Hc3GdyRxYdEs5e!Am|+b z1hfpj&WFPfyI3vaOKA7FF{YqlPdoj*Bk5kW<&D{CKlsy}{sgmZ1GSc8{vd?z*zCon zUAbTySX$Q$MF;Suo$!1;s^jxHP#7nekSA1`I4a{%sXKH=;}kB=(JQZOqhdnT0F_gZ zd0pXC31=fVnWv}C{r5T#jSfIx9c;tevH0v!Z&2S&0yT~S=vZR(-qfF0@~o`s&#?a_ z#v_T5B3{5v5^01?Zx))laS*(t6ia;7f>=N{Kw4OUevw-b%b< z{g6CUH+)DQh+=&vbcCkL3g&z$X~?`;q}8>A0TRjrCR&h4%*v?XgCQ}-p%ZFK07jEh zYZ#@#T#(3$D&hd~OJP`%sg*Mf+r6bc^0 zh|=rSSQp8GR|q0E$IxK$Y*Q?FhVxfVv^PI6yH9MJUUasx;>{u!a$1-77RAysU#D%3 zwB5(PPlr2#xz_@=uqx>YU++g^`;T0okS9jQn`Nr8iX`!z{{cYRfoG=s`ry?&OkCk<73;O!8LHtvy7+|cbL$WT#QhyYyiN~t?>;qH% z?X%$vgNrXO^=Im*{-{gn*~I(_yOfNOXe{-!PpSTdi5U|8NHCI6IC_dFIJAdyP55kq zP72skdv4UbXuoTYCBreZbX!*JNO9CdThR=vC!>atpM$97dfY~>(Vw_%y6qT6v}vUD zb#h-yID2_0GaQ9`jhjUiYfea~93SH}-ig@$*OS2?eIuP~dq$S>d4fMq(#mHZtFD}U zlp{4!yNvoCtD?jf`5^=S?z3ZLVcH(}c(+T3Q5=1CNseQcL zx4yKxG%kwIol=<9X>9n+b)V#)>zQ%T*m7TDGn zG~PUw-G-6t==Wg;SYXR_EP?@rGxD>!o)MuAkEL0p?=Xs%(q3mIM!_@sw{)n~x~#<$g17F^2=CxJKNt}k zTd0+3-aYeDCy~Sn--4i=e@{Bxb zwno3_uAA~A^Q6VT50xj5Y87|z0o|>OByQ5UZ7$1GymEw46u%XEl<`vRbcMQao!3u& zMJK>XlopJBEZcQ5ZSnlA<9x}A&UM2XntKmpi3aM~TAJJaeaQzV&z_=8>x=T1nty4m-14WVk+ ze4RtfCEr4kTG6Y;%-T4q%Cl@Xr^>5Vu{2GbniUWTgVUntSBH9A5|dVf9U)W2mrCvA z)|w1E^y*QNKXtpx>8D0q61UnLQBdg27F$I?CLRnirOMCb6jYUABr^sHBuA@}jGTttc_tBQ`ittJ!gM1DVz z+&nx^kpjAF#96;>qg*67T{jbLv|3?#-%pf-enPq&GHPJF7I=9>R}3ojFXOd0=J>c` zFjI3_(6Emw8Rxq5I?4G@srx=&R?w4{PVW--BAmq3T9S&_F?n>f?&&a0R8;EBP00%` zsHxV6e1cBpA#}?u*#_q88mi@S1+5Iq%ni*5^VWa{K`|;D1sux!kfbL9x;JWcf7}jv zL&>XhFmGKF?V>4>TkmhI?xV-Y6avzQQNCm) zhX9>V_5F5x*7x$(4f_u2C8ouY+tvNfEX+*2isrQbK)g`Ez!?D~FGlvYMUu_DwO0069!i=hu=Op!bxM)aB z#jg|NDKX40y-I&__D0=qqi0vkm8It^d8@M8mV+F%>Cy+3*5IqgJy3%BT(W;vk0j%pj1VTC5 z)&lNsK!X&{uME8vrJak|n%joP#!-ZUtMY*~7UWt(2AtK3(MzWn9QAr1rJF=z;k6HC zEje7~AiWnXJ+4dM3y=NWP!Xyx-8b|D*$P0GTyIl?M+s25YsKc4thY(sI}Gx^hZkA9 zmX}{*VWv>`-(T@!TeADizAH1jBah1!14}UKP4zC9l@A47*O)1|l1UunF$*4X%qZ=b z7%}l)GA*R3WgO8ZjfSJHBzf@AzW8W%*v0hb;BA{vYKKchATg=v3?fp&u)a?Qup(w! zGLtG^V;^=IiKkdF_<{ga>Rlg-7L`}q4~h1GjB6;HM~252Ni(=9W0f)K;V9OZ|STvP8%x68|La@CO%n6qvR!7sLb0U>4{jfqGTkRgoh&X0uOIYGtL z{alTuwHCaeT(GtXbFC2_ZQmzqF`G-jGseyzhheG})nL zy8_27B@?_-w557*HZTv+yR(KAT0{k>!e5(vY$4{cY%{@yb_oceB;+&~j}*aY&dFa` zHI)S3Jn$CUc9!(tluR2wCSgd9ylUMGY$UxTIW<(>HNu7M1oYmNJnHd%Rc_m6{JRVx zijW%v+i{I`vAMcHqD(NkI9t^d^daKZWM?kAj9XX}hsg-4n8*mNUzy^ciODHo+wR;b z;;wcY7CjpMs+UszpzyVAm&rLRq20(fvG0dWmTO)Tagl_xn+>PeitnjQud7)~!E_$%AAhn#FY#>=K2&e_xQ&@sp z(+#hA{=M7R;nEJrw@=Q^H4!(9glZ~mf6ZlS{GWgI%^P}x>;({dt3xW4`*2Ff5A6I+ z+O+E9otimfE9wVrdAnWo)rd1|hq0!=a)P%=4BF=tcF6H_$_ruw9ZL=#ID^ z#6g)jty3)qN$7#W=}vmuZg_&D0ZiqOgla@qn&nVC!71M=fp}+22QkhHBX-vM2=8x1hJgeuMyK z1rdziKZ)|oX9 z&NkkqSH^=xIuWTUvDx6f$%%2&oR7`2pFujsB%e{@Jfn^T-;?sf$X z>8);4VLeqpp(TgwEvb%jvl@|#RiUOzAl^`x2C?;q{+cB0BpB7Myi&;II!!6=3?)%s zMy>|4b^3|iCm8Y>*l+V|t3y9ST&l7bNr;9--Qah)m_`!~(`FKqe`OMOQ0{%7k18P@ zF_}8;p-!{W*!HV)*ce!K*)7Vf+>QrVPtd^XcU4%Lf+F6p$iwd1fOakvU8ktZYXstc zRhHsARQ8<_UzMkVFVDJoc_L8YPjoSYMJ^fIa#C*7yi=k4^=m8U!+btB!YNnN47&d1bI6bW_DxgejQjwxv&yy$tzI7A~p1 zucADHa#V@Mw~6kF$UrEa*1Tn1pxJKN)8s0;)BqjGA=nz&@nD4t{ug?RAkn-) z5V9_GljtF=%0!B)5PGd^7tTmuAtqu!JQynlnX;)k5{`eR6Bo>~2&~nyH6-qB(~66s z?_4a-8ekbuUh7pL+Q0tEH*dsYOZYge^c@+FaJF?Lzu}fZkEH0JoKj%gbz$Bk9F8iX ziDlSh+h!zlpXRAqJ$;()_fP+{U`X?eAJ9E8s?tufLu&`-@rmF~l8HwRHz6xa9$RoI*R?}Ad=ceFyWDkkm9-(}X~}-p9}X`Am(29$)FXW%woP`yCwTBdYg)Cs&8I#j6_z zS?DW!*nM(WV^zC@RqnHho|@-I0N+K*wb;Ex%?s2!40dG|9kDLyYEo`^)zeB)Gir{J zMgcIT*GYba3Q=R9?f7a|e?W?Z#}rNHhK zJ#L0HusRDU|9ZzeZw)HB%Mw8%We+aqM*EF1E4ao5JoQ&q0j*RSx?dxjbFikBr|`Ob zfU$6mI$WN4v@1xjRGRmxVt=p&^c6q7ML=>gYZC1|_@?yNODf0Sg?Y@z0fEfQk7c%oVU;Z zz_J!tgD27G)}Tt(wZtwEt~g+cfn%ep0|huf8ho5!Pm zME&iGcdqzu&3mL-g%IGa!&(grao4fKbGz$B&M!s&BNV!p>6SB76auL`QLU3nc4Ze4mx|OtAbR9?6xHeCT z!Qik)UVxYS)e%ZDS!YjBks-qOL*Jf~e(Sle z93|IDaj%~Binx^e5|9rAv+y0m??CW#u@h7@OCMg`g_)Q)4PCpjCku5=p736YuT%9c z78%2hP&E}NnI(zDHVIP(_V_rL{m>=Zoh89>94{-Xqbe>jYID&zx7aPLV|0)5(o5Ox zIbrYXlvYwBsO!23C!w2* zTjPJ#2nFU%oX`cOI1)4~%T1yCG+Sa~!-yCmPWDuviVzfsyC8XFQ2~37*cmNKl|r@_B(&}d-C%SZ#88Itu!)IZQGns`S*+} zHODyA^APgvy15nS9)f^aAM=HaY%{AUy@SC*7h9a!W)a;*n@23#-I)|Y9dj!V<}RT% z9;Zdzpf`8_>K~3p^T{mgMc#mU`8p=5 zQDHs(`qMwn@Z*m!wF^q;kx@jewefE-irx5WIC9J@VcAwHQ`t6HMu}?jJ;d~&;iEqk z6gbn-h7wPm9W;=<1MPk(XAb=%Hv6$ZwxsQ#pYuKX=zikJ$lQnuq7|)n(e@rn%V|CGwBmiKs=pR^{+U`A>I3dcSbi59*;nw( zh<&E9{|%I?@k1mT@MKWCFdy^gP#)S$e&>2%DCt_cuS!%YHidOd4K67vC~rcSeMblR zwK3H`A9yYmP$G#^%iHuUN=ajzwL(&84WD5_42f?7KMdVloPhK;P|PsP#ga^q5;9|l z&yp#-$xD`_e)$d~IpipcH_F z<`K#Xa$NHAaN4B638e3q{U`-&9tsiod;hsYTAbb~Hzomnp#OzX;^~i1TeA$L@0M;? zkYn59>Gr>T{WPXm2T=}Dz1YH|tvq5L=&onPQI^2Og60@W@N0EX;Mb4nL5MXe(?^-G z43@3CpiHVmb4C^95l&rfH7mKW-YIh}$(387p*go`SH;3M%j?yMF^apWPO>At$sQz1 zzmw}MD0eSz`ZRilu_zK-m!8;FVi3h!w?3jLd&DO`I>8X{p%W8Oin?sxi<@3VPpwF{ zp4!NXbJkjf4OQ>|&)25Xh~kk3k3jEMjN}m@F%9)8gy@P23}+P7RdvshO#dQJEUyei zY@TlEdbyJ^Z>%mNb4UM>+7LRtmOo%1mkkt!?vod4+eqJ`-{md5p?5qE^@Ol@W>m=g zSVv^_N{L;~6hJ8*f9ao?$54mp7iTbRa$9y$?JEX?C5^Ry5P%liV8gg9e2Et0%>a8u zZBP0+dd)#CjDMrCPAsw{@yu3GwgkQH!!<^hxHjdD!JO-?MN7rRbpUWymTaS#u9=~` z6kC@6iP1h}cKgh>gaP(sczy0LfMqIyhv&JyKDRQ?HDH~FoP%XVcBJ5PUYN1409A*0 z5+v8j(z*FA5=idFd2ZOGI?~IUPcn04_d4(5N?xZ=9Vn|#7*cdrJM;-MbtS7e>1?;J zgf14D1F>%}<@G0hZ4WmmL&-td=XOqVF9-h&HB_B2Jy5F2Vj*A1?(}yGy1#m1{W#mM z&K_RKK6IHdeT?efjkQ!>Z0t+uPwz}FPDa@Y&+kpL|L#v{6c$HE4TKyYzEwlFjhMtSf5ymC z^Bt@UUYIj5%MHw%AN-@g`@_HUTR-|+zkMq;uvr5%Ql6({L8*|Tk*gt2pt+&Kgh}XK zK_{lEL_NWSHTT7*fAqztKmWz2pMLS3zx~Che`tR3>2H1U>7Rb_>F<2;ouA{UpZ?4K zqyOoP?|cg-l0J@DJG>yI2`Awtk+mcuGzwc7@uM~OW&|LBQai(1!0Ef>FZeOHjr|UW z7_6~XYnIt6p;}3rD~IUSn`FgxtDKYSDoQeoOkTz=ITSch@1H&)UII2QzG*wwd_f#+ z1!pxERu@IMSoZvgA-h?QjSqOOUdJh;B<{*%%nl&=7@8wcNxbp0m*L#PI$Q8cM7>&l zV8Twp^r^~3$6vakG;glajCe6g2ZKToPMC)I?YYs2H|s7bwz-O_^E~tBhkyTfe)J2! z`h)-O@1i69nF``Dy%T_@y8G zx4-a1O`7}CBo5F#)N*}7F2sboXVXd9!T3gTOG(yrZRh0Tgi@ezyiKzSJ2@bi zK|)~cVAm4~hYzupxqgU_5fxikMq}Q=b*X~&5W0jz!f`jO3XJw#jkX?a#+s}n#v$66 z^WsNECNM!V-S#zeWwEi#u}(Y*3oL8NH8*zXuR!&e^ix`YJe_vYs)QC>?+JdOF)8R6 zaW;w66cCv-g*nwa|J&|e-~&#U`I2bz*bhlzB0emV&9)6_;Z12qI4_x5$YZls;)ZeJ zU{L20l7>x9oWAnpUCK*1&N<$7t)+m3H;u?JmsucDPo^v7xE-^$!{PWkv}(~f#cM$} zEgDkn8fDSuNfRmlGljcv2%QSlM%vRAFQ26nwcy2~f1pujiL%j-?0bT6T8qVdMpPe; zl};VS7n9xak|w&3(C}53++Hqq{PP=4CG%BlJ`!R&7Yetp6#i~izPnu4|NCoi-l!9kycU_D z_>C?+V2mV;Hrhqztu@?zFu<9Vfv}K7J67Cq=1qQUpaFHH;%TfHnYS<^kUB~=u#*`b zE9eL)eyPA*!a0#lLnD%i^N5}l{D*&dE_OG|3veobXuGvuv-KMhRE&^t77T8=eQ7@8Ce$LoBUK*?Fk|7i;?L++VjI@Y%kXSG@h^{ZS zneP%*rC`U1cqZ>UAebB473i!!EA*kt;Myv~5*ZleP|MEu^lPh~^jX(Ln_G-j*){%C zURRRRLq%8DYT!03b=Jtfi(NCiTeo{t0?aLL zNT{5AwKS^qF4+^AM^PDx_F|MZKUIG%Ezvm~LoshZ;yg?~|AfdX^0f?+agXMI{->ye zG)79m2D$I5BQ0cVs14~#PMQ9rrICu~y-kE*^(nVM!NS63yh^h6P!3-#3>3afige$9 zhEuo)Pyh>E>`}ECcnzPs3L!C4}2^TSWor2y0Eule)C=& z`Uh0yG%_D|P}=r##eg$}RA^bcf!R%r+)9-{TxgheAV32o*=&&C2Kx&1(%NiuH{cM{FeQfnEBpO+HptT9xagxaHN7hTa)u zW2)(*VeXDRAMPSGjH--1S$cM@${jVT?#PLf*3nUjPKEE2TuOvpA=7wS7CDCVVJAoq zCZ;HiV00d7aA?`2_q+zaG~kCaq4|P+|4yk>59Ki5G&pdbMAkbDfo^xS;l<^S8{QEG zbL@r2z7wftYFj5c4g>Xu6QHUjib5ajFd&jY7q1dOw^u&}n zyDC1qt&$@n_lS2P@lJ87DzbXO(tDtvWCT?c|L8U!(R299hG2oW{t@(d@S_F>Rh7xGx0R7wUBhoKS(fC2Oa6=uK1 zb{N%ZNli1|MzwY2-29N=*c6=b16L(Z?|_uM(GGeA#q?R6{+zbe&fv> z{W`5Ks_M4d@J{O>NV!$-H&(05X+tT8N;mACruq;OAxXMPZ!O&c4B|_Uk)`}Hs^XaP zU^|)>;ea*WlDMB6N*5hsGZ$TiL@)C0>5tjr3`KiHN~qCMyEfzO>AQSV6$-5s<VL!5v+HN3{KK9V5zjv98LS-y0qO*+dCI_c7qQ^`2&6ud=2 z$3#Y{;}bJ``uziDp6-09zt>3}c@xgZ6~7=lZRM{dcVgkjXJjzs~{X1e=!61+Ru*ZKmyvS3E zRANk{DVDPZ{+nBi87!Y!XwZub>H0NA$T`0(@(l=#1W^JLFx$ovbYqC4|Wi|%iHK;>Lh#OX(jV!eay*eyAkRh<;a z8H=H>HVk9|Q>@HmyDc@;vB<-qrzFUVA5*=^+;0ErSF#p6unR!w(|7o&$D2EKRVKoq zI||uWc@S#4ll?~iosTLx!QgkSm8_dmpyt#ruWA@oPv495Nm@UBLa?_-lW{6ZQ}#8U z)YO>|L^$d;jaSTjL3gc6?D4ws=u3P^EaRql`s8%Ut9QD|0&=_w=D)z({>tH z-fLvU@hID)e(VO=CscU*`7iR(N7+v5BrKzX;}YR0O5?}pCW}AqItX0B4yscb6p1}l zB6)d-20uQ1vctB;2P)-HesSSA<8|+2M`_x8EK$xoG!%PRogTT5k`?Ygvc_XyK|!FLh&71cU+c^%8;E7P3rWW2=CS&0yu3glds@It*>H@!4z@K*XK zmy~M%GW@PK_FFHQE$2ba__H-C)Cgu%LpN)E+rA-StX!U2^<%P4c($pyuVW|2AwczF zHecAab-btk!5v85OptS6uSkYPW33+5vtD{lCS9m>SH1O}*)nu%Y(S5zl)xVnXoDkp zZ|T(~hpw6*{jxRw;F|=CN!ODg(T`gw72sP(mG$>t{^ot>?~&Xf=N}mj|5;N|w&#zIC0M8yK#O zOpkeVR)#l2wOn^djtNE}u@@=^GtmxoCjYIynAr;>d?^zNYMefk4|UXI4A~30=vmk` zCwS|4Gsh!z)C;+gLcMNEF3+9?0(JF5F3%P(2+6g0J7?jH5P6}$C8DIugcU&;ukcEL zFK4b07r@eHe+$(*X*i#)SU3~9aN5<#GjO9x`#WxyzK`eqeg?ihNqx6NAljz)~ zf0?G_HeCB!yZsqfvr9%jXIih|g?gzVCU2U_2^n@+mE=S{D=L`bz$ZT@x^=^=q(hq@ z4CjRjCj5b(|he@nRTt)THc)n7eGxO05%lG;wJ1=f~zR&P5-y7zMJHN7? zd=3Pi2i?)63SJrp?5j>N&GW*J;&a_15%Q=_pEf817PX)Bc?Y9jOAB+WgvFTgb;NtA zf0r(?wwG3YXnFUz5imd;IZ*2#uN*1lrR@g$uYLX1WL(N+VoJ_cHg%GhtFoHV9Pvd# z*s{dWxo(NXr?{|G_~<09M)%X)3gl4I8R(xrpYu(X!K{-!f|$unU5sg$$LTY*+g(&x z4@4U6a#bWwEn`f?s4v7-=~opUbvi;PYoD&`Z6yzDT>%gB?kis#o2dG@-3bEUkVon- zt%lMr+Q%eMc7$3wq((POOjhp!JWi|bdWOX0o2xHZW!-M+Q7viN!`8Ygk6F!Y0G&*6 zkX@{CR5Syr*;r~*=2==y5-VUsqNnjqYn=H1g_262V1+f>|E3&p7;kh`-}JxfZ#2mj zdVVeUG{&aHbcz{1h{a~!cs`?@%zc`zBVH@{=1s7?wH^|M*;A6S-nQvruo!qf1K-%B z%_EW4prttGjT_v;)Ocv1gBMmf3(OneyR~|VGVMyOq%FMQR2bu#u@LB>j^)N`E!|t_ zx4azL@;VFkLLDx zb|QvKCK=L(AJXstW1Y@q>SI7ugA-iRfAL*!H*L#vj-O!d8;Ns6D z5xy8Eb5xz-V_yRQR*>;3y#nfH(8`CVuv5U$`f`}c8bkg>2;~w^@DvugP1ofG0ssvs z&m6CV4wqNZI?3umgntSd{<0MIUTHqU?&OMD3zr`;0m_}a##r$F~cHr-o+!3zd$C6FZa{^@#%fBRn3|~W^<*CTT^C7Cz zIvRuHYrOiY7)8P$Q0b&`IbC^Kn{HFHhSk3+A0G!yat$wE(bq~-ALOw1UxS10zaC;= zW5vhB?&7<5w?0iR_-6da?bVHu@5M1@4d2Js!(`A<@mJ+3x`YgtLHRm*3XK!5^T-ac zS`k4>#9}Jm^X)zP^2V%+;`AIS9ecu5plm8+lA&7t<(UWUZc+54Aw_gxXzT0N>GSCMH$U;_ z&4JNo8sAP7uO1PHx*2sn^CMG%anBI$~(CM2@$p*oJRAQFOttTd%0Z@RXT;pm{Y z9n@<=u4zuIxLws&U2B@qLQ^Z%G3-3SoyK~jx06CpG==KEe5a6Ru$z*QiZ_pISUYzD zQr-xGdtaNJk(k7sd5{ov4QTTLlr7kw;?u9}iV<>$tT2M?#nd5HBo7%2Y1c~*?3*h# zrKd9#uzzWBhjBuBP-DSsN&;7-R};bZ?#QWnd>g46Cr~1UVUZDPXz7k{o45hQfX8qX zQA8Tf_jRiNnS@;+(^7R+K^n*r$f2ZRGX!{}CKEHSUt?bB$#ZR*lNRn0T1u?$Qx)rh zGzO+U16$2q0s|H!!h3C)qS71*Y$;?INnS@tZuHkXUS)}^$O9iq<#9q!h!uCsT0oGZ zxRUqPQZY6@v7TOyn9CYFo(2~2XC}PND&mZWghY7 zPr;zCs$()j6N1ge2i28W*AuET-rx!UBj0$d6F?V@eiP%g#zd;SQDLqn$p}_QVNTfL z`wW{sw?dw4+!<;`drG(Jc&G9(Y>p1ANwI=WKAub(wu+ssScxmT6OaTHTKNd#%J}U! zIz$=k4aF+7CD@OV$ZJS+Ts7tvrsyM13|?Ci?8hM0EGOn6{ru-8>5X~Q#P7e)2OirGWORE~f5rbl>{$xVMr82nsX z8Mn$R6#@e&#}S|MaNOGSd2NVSaRduCTPxlJ%Udigf4Q_4%UR%9o;z~`EP*aEYR{_y zd5pEZU}**TZ!w2OZut&xVr@<0+woo?l@~%BX1dRNJI|Yir0%WCl`s(}M=8uKZBW{+R6k+S!#sJH#I3>+`N8-8#rJ>t?|uIt|KX25`8(hLdw=rh z|KihIva;0eo-cSS+TDD^O`E!fK2_s)`Wh*`dGS7XB=Yk^{_A^|I}4#7Y_T5^Z~B4G zS=8TmLQ{d`iFia^nZNSi|J$GYqaXdjFaO)0|Jy(MuYUK|!a4ug?jy5A8FW*o*56jq zo`_701+*_0i7thX@t}$S`2Ltkpd?%O!*BoMpa0SKe)vEC*Wdpx3i~Y-^Znoaxw8gd zDlEKKm>*r*o}~9a8l$e7`m&R3^u1M>qSMAN=ay{K2pO zW0dt5|LA}C^FL;bzyFLA&CQMhWqfFrXyyk2^u%zz58b9cNNV0AyqMj;p4}Uq zvaV)zB`Z^y(Iz${LE@zZzUro%w0mU_Ck{fvwT3wAWId@$z$<|l^Sjqt5O{DE$a;5T~o-~Ada$YaWwWp%!vJ@RS z8x-0dRg9OVc#~ni*gOSUAf5Z7I6LTFuCB^b?ITBLvCfXlT+6N(KXl13LnJ=S9Xph~ zRC7X3)0~HS4@+-P-{+cIYEgTOr{ToN|e^OU=)| zovhj{!YMUddIL0hfRi+88Yq;>+PK4JhW&wrv7ddL?w-K_za3i9yU4@}=zRi>C`C1h?EhU2OTIYUxCeUg(Ym@kB- zc)BK)su9EG2Yl~EK#wOvF5nD5(8@D#%HKtw|EXE$P;)>31R3VOHNcK9mR3xk!@R_X z^kB4A`S~Yiot1lZi$fQKUUujb*tE@IEoR4-p4RnIbl!T5q*1Q~r*#=c;PpP9W^sPK^Omsm@tBm0?+vxL84wy~% z={i@{4oB5qz}zVa0=Ikm^~8Mo;|w;20oCR)$-4qh8cM9qhRkpzt>u+VWc(^Eg27o< z?3|`NaJ~A<{Rs9;+t7)6ozRE3QHOS)V@^hHC`eFO2`DIk`_M{+@dY1DR-;A3!KX!` z=pLqDc=$qYIci!ReA-*Ma!!0;VxP5_9!XL7_@sTVdRVOibYw6SH>?J? zYk3pk4gCWnl2MW^S~G@4o<38{#-v-?LTKbD&LAA7_jJ}$EC-jQt4ADxIbz*?qDWyi z(CaU@+$Nw@8uzDq3V{W8Ep9@ zp>LSg)sNe)ucJ^fCOT_|7U0Avj#YVptWe3yhEbVd!+v0{V*=JU zd{#CUwtOOTJo4flQA-KH5s#N~3+=EQV;VK`(l;LCu`MsK#m1Tx3RqXd9Ug+(d3pP|>Zv%O6k3?15fHSfq`)Vi+4) z6VbcjQu7NrYTRLHRf)vHen4AfFIM0~R1Ed*uCX>55xptbSt_1AhC|d@vLaz1W)wsZ zN{G`fCT!yX=-lOcx8a zC??Sv<7+l_jI6VmUSK4u(3kMu&v1a z!UvzdY>7(cHwer4Y1k$q}`>fl{%|N zD;OG_aIvBf?#pAeP1h=lqmtU0~YgTQEnGNNQ9gnR?&VEN=#wnKwOo{Q*S04GmrP|tK%~j zkc?N0_bq)Rj`A7ppOq)E-j^#Nq!G&FOT8nUGF^rwG$WNq8x^BYtSbH}}dD*sn)h``yaPLYT@ zOs$tk)^^q0x)c?zay+vxpb6-uMNFt4qvpQuxk^*nesxKKh7B|yE=|<%OGsK+5QC#9 zN3D{0|H|>i=Gtyx+#DE~zIx#|v5Mg>^PMKe*jqDG#+1+Im( zxp9>q)CDI#ReK_THN?VIs;0-wf`*TJ`X!eBPi<}yR9X|tdYlP-;=3t~VT&te@Om3}-Ud!q|oAr3L!u~V)l+EK@$r(J8bIP7_G5g|b z_QgmwzSi9EYVNQ%2Cfb3@><@dH|PugmCOWLznXgtpLr#_eKotUb)c&yJI`bt=o+mf ztS@;0*_P#6@wrQAXEL7s(=2r)j@i80%#RBEhqx?|^kUXs`5>yHnVJM9d@;R%jS1F1 zODQ)j^irl}KNR-04q4++;7LE^5WD(n*I!v(zwwPXZ^U~^?KtX93x~t%D9>CCHQ*!P zWNWiWgB!nhDSB?~j`wLI4^B5Z53I7drO$#bwzu37*1TRy(7^|iH9e3UUBd78MbvJP z>|QC3)N?g_Mb`yAYp5-8K%Pb24UONHL{LDMT)AMNlDw+(w>Xga0if2 zFCOuMaG{EBEA6hK4$}isnZ?;#dB>RK<7&4%Ubqa2<%XtTMed2o zPmHK0dcF$9IbmhVrWu|w%3_m{cPKH$wayfmtx*uMy(Ge9mELn*!<1fFJ=YhR>LtXw zjw17>h$Fi2-3w^BnWpKju}UjeURju$qE*>qy+Dr`=>%Pu_j@hTzACZD4VURoo3c(4 zO-GX3KeON3 ztmAl23scYmuT*+DA1dv*o=^7ryJ)C2bPYkQh1j#MxHY)NDc7rUKRE8FAN(bKIf$A) z2pnp6v#sOXOOhX=tZ1P?r|T_i-0{*XV5&~~0^`=vnhl+t6K0kUvFVzQgoa>abxj`x zg^OWI1rWsR0Fkp$wLFuPC;4F~mv!U*8&!w+OI>|reF%nfTeEQ=nMKThQ>+f&4lqLO za_@OV?}hWRyg+ALd_TaCFY?L)IT0XYoDAACbIhsBB> zxd&5SCou5TLyY#pVq6<>`j4wCliK_lQ({3dyH{00ChwgEJe222PVMN|eM5yUW<5XVbnq67VD2ogRKz16N^y*s z5EBQ>@wH9xE#@LKz&vCdEI|V>qwO{;^F#wYqVl;YOviFx6135BgN14@FMki@!>#n} zf}XP?$DZZ-%V53;h**v9OOl5c=M$d$`Vozky1S0=yD*xR+RM-==;amNq+&%`TJ`z< z{jdKe#pDg4W{yPQg^OG3G?Xov*$k_5Zmk2)Xi>IQteE)MjAF%n&*)?EmNSU+m$%kw zJeob9IiyO1JnV2(0QmBx0`$)1bfu~QrHuPJxi2%=?zDwUl#wzTtD@i3yggk)x};q75_;5SM)@AmkHodMa<8- zTHk4po$_3s@aI_(ox|(LePlj-{`2J;M!@575A9g|B;z!>Ge7?o=qOlrsRmCm{xznd zyhPgA{*+=QBm_hV7hTQppl8`oVyS{Ilpg8?^lc3t+aT{wh)@MPV|8} z{zHLK*n+vobBTZ#f-~S-Je2%}k5i6Bt56LW1ln0zP+=IkZjdO$wW#ItKNpqrf{>S9 z*v1tIitWI5UogkgApSX@!CbPvLW+wuB!)C+&f?6H=d zjK+UJHUjYq!m)D52Hc$AlNLSv?mgo8JQU?BO~%eWUSn|P_ZRf96_@x!*ME%Q zqwi=aVi>loWeF0jz05gQ@Z>9?^YaepqkNe@V(mt7B0O^lKM9!&dIbk(nsG;rr>&?L z7ft12DbBIXp%+Anv_Fz@cg~A$eyq*J0pvR%yNedy+*5;8`WSLLZuGeNh;YQB+ZA2A zV3a>55mvB6f+z|3z#f2tw;;A>$ncw~VCn-z$3ZN~>#rJ(P;AvmC6FITkMRmI&h^bG zMAR-i7w8-=2fz|@YC_n)m!%?xY;v~L|LUdUj1%*5`c8#Z2>aEkjvVv}RP|Zsz6;_< zXigLjI$e_pZ6-1HWmzgr9^;r(7$J9}doIp2gB^(h^nk;t?#Gf*Msg+2L1+K^17Efh zg!1~Uktdx42HeF{4m-Y|=`py6*OwkpI!&h{NKHi2g?lQICe3iMn8agU+hSOi^}R9* zaHtF|eQI|k*Gy~5DwH?~knIqBJOI_Y7&#?Vp}={h!)S#BhjLRb|2k5d{o}%(tY&sn|s{903z^k!4{^~wIEoLfa%AN zxwpBl&L02DB+3WLngj)BgClUs|D(-c3cnP`RZB0OJ5}WLTp${%0l!%^$ez+V2C0H; z>fQ3i%>Yof`A7=}zgYwZPg}BtIXMX=#}<+E4cs|8Nw8cAoQfW`I-s{dNr;{pC6xE< z@@uJYkucJuon96I=Z01V&LEl1$Ee9f7pgav1Me7wV2M?t8mf<1UuMX{(LG8Ke3 z6{ydxAi7sUW-7QD8yvlFS0I|_*yf+z;UAA9l-%$S-{wC0D%u^0rxE(AwA~n&p0Sd! z^hhQy5I*JEK`;!dH3QPVeRAzkkokZz;|}d@xUjb9niz+jXVtOV$!qxd|B2h~^G}u>fPEJokiB^CZ zH6#Dgni)%yA@!I>y+_D~Mh@0zFDAI)-4GvxG7jkCz{keWKHTCAiiQL$TFvdg=qty*1Ftb5x5*H+3Vo=iBUZ1 z?!!0(pj>qp^8iV`x|lnL@)~~d8`g$^kyVyWD&jDr2f`7^1)QN}#>|Wm8+Fg+df(6+ zc6XgLCvUYcO@hQWh-3=5R*gMgs}|7&g}7HvOp;0O93><}jNb8w2EU1Z-4XXY?rI_W z42v_J^wqp&^r{)V8`5(S3h3@2x@@OoT}wX>m_SxBK+}B8;;ChLpm6439xeg%sms=G z#q{BfNp7jt@m7FQ*^K({ees1+Ut+0Y(4lsR_GnG3j>e)Xp`eE&^r)ff-4C#_yAsau z;El0^Q~&@G&J=4~4^6>&evmh*q6-orZ*Kc?<_EPTVMyOBKO^7_OCTVr%V4G={+`Aa z(MhzTP3d0(9-m0yO-X-5*6+diyR;!g)=}73VcU@Oj5`T6hCpT51va}+=N(wQ^$AOy z_&2DxPAyGU<3ZEyKdLNAg)S52Z;qsAlD6^8k`X5+dagF}F(E?w-%xYZQNwWqALwC7;&R(R2&>1ykCRvv20|Drm$R;KDu}RGxL9)tWS%no0B)nU zdny0Bf74yj-Blfa!kWzEsgLlQW+;8R~6!A@r?Tj8y9gdzG|Av5t<-EvY?;D}1k zxFy26qOsvxAw>FvI84nfCe~2T(2oz@0Iz<&w^@DhIlW6#o9(4KzeuuH@0t2QBc}I* zpNFBQ5epkE4~j9%L>KQ876}f5J9U_Qusg{jl6`+9M)%Xrm!2 z;q$wmN#-2RH~bdU+1{p=wMc!zhZCDue@gwyZND_%(QvHem=*``+k~5TSkFjX zvEDRUl*?>|&L241D|1~VaSYpaSh!iy$?dTkruVvHUG@^&cWRLe9zP*kZdoa#VL(Wx zby(n1LA+ke+gA)lyHlv2!oXx|-F3OfnGR4kmQMA5P#DJNy~B2MVbY(fP2~!!dfj~r zmz0F_NVsI0%dUF)VRw=jcrN1=#$uV#p{1nyH7Ak*v+66DzaWR(0#P zAFsgNq75?RLLzi|b>W_f;L2%nBGYQ{IgD7efI}Uf?=~M_Rv7cqTjgCocSncjhvR7x z^AmjzH?38bphLvz$->3b%~G>w!h0S3b}`s6V**hFc{k3|rW_Hzbh>4xP2s&Zef!RM zN7K9qv6p=^m%D=$@LmWQB3t(?n)hrC+gexrc;A#pErO9Fl;ot*yj5?oy3rtWyEy4A zM4-=NHdk3&YdntR$PsrV?x5k&4~Wd_`?7y`+!L%N9xI}!L25Ri#q4f3#}%)}6`vp< zX}ddli<89d)`3#bH;pn&6E+*Y7}EDx1kWa$ncjEV)QVUx7iJ;dy5Z2%=bg7ucdK;b zL4?90Gp!(MeJswJr5kgzlCs&TXlD6OWR{M1jzSt^Ic#Ybe>yk$4_40n^Oynj$VH_0 zzPJL8T1{({mbvg!pT-MNvTj+w{u=Ii>7DWVR7M99!U3jJ9I7iUFC=_@P!A)+$o-H$ z&|&piJb?g)c+!q!%&Cva1})xnKguI~hRzuoX;)pbsqGa3orWxO5@&t_r*PUXLFD1m z`M|NG%|rCS+FSrL6vq|3e8uhfxJJ&j ztNS5eGWfty-0TeE0!xD`ija*1Z@V~kNO+V6g;v}?wMp^YL($_{8dU<~53raYLjS>= zwaK4-&7j(qD;OHC%0l)BKxLVeMq^Bfjb4cAd?4^Bc>AC_n|}~Lc#BS|a9Jg$M;-!W z&2dJ@jntewsfk7b8bW<3Xn~hpE$g&ZbZ_WC1U}-ic02mLuMxoOe#mYL#c-UWg+vFi zsW}WXU322YoGvwIi<&txs-NEJFkr^_#X!sE>H=+HIQ5@0(bTs7aFscZIK@3TK{;t^ z7M(AuTC3;ke$SKJF^_LbrB;Orl4D4Pfiq%)aPq{9t6@k`Yi>{TVpYvn_6MbI+K|{i z^v6LC9fa{~gaEt3i_5CLJhu@IRaiRFuy|i7u(fV0OA{=hvN@uR ziM@Jm*Ag88>LAf|Qo)-#^SA0mm|u(Gr{%sN0{qAgoGiRH17&&_M{^>bON%a(x*V}S zm`3T=v0kpI*Qg*!ZxM>QtZ7q_F4~l36E?%8tx0^ta^{Xe=A(8pCJ_AM79;6E4K_l= zltqJBxK5MCX5{kJJ(rxaeLb8U_E@`_TYns}W$W@#&7p25NZ~>V^{|ENreEoV_{&>` zND7OD3M?zjv-_jxhq`^VU6$?3-yjJzNw`=9PhWC!Zm5-jNK~+6vizehAd@fhFWuh6 zEPN;sdfe5nrhRaV=EeL0#7x-NXydNnnK&6T%tsi320?px89M!SgNVW&K8`)oM+|__ zWAAwR%Hm+mOvVEp`a7p9H`~dVHoQwHx?24)w2pwwMFQ^EA65kp7{enC6oD+`& ziP)wqHVXb@%sIiy^Ej1u4iMZcZQ-?8s>~Ru4AB~sYxC5S$!Lenz(=+)IEe4;ac^_D z9-Z6h!`a;T;k5({ojm zWQ^O({y=5PXceTz{$T=P{)LNFh3h@%R^bat8$)1FEjJuI&!{Ss^-_lfnP??rc{Fg> zs9XOIJ-%J7*b^)a=m!oT;>q4t{bAP6yRl$njF5EE{I#s;wohX{e8@3+Nq+=R{%FLm z_}~ZZwjF{sT9~=Q$=;kz2H)9$K5)PnufowzKJ|)DRo9xpcP0~YxyByNRZqrgLUZ?vreKJK9(xyc6(bCM)_$RE9c6YSS|8^J?t}xGaHge}of=p4j z?NqJ#08ln~sP)z9RJ}8A`TO%WuEoFfg%1DXaPPjt1qzh(=A{%*dWZ4;@TPYH{z-p3 zqGAiY$cgm(6EN1k{OQM1MWMc;Iv4?vl|mF)04Iv;Rc6&&8Je*s;a;mLcpEtnMsDLJYJgt!4;9J_z^_jD#)zt~m?&s=7 zw{ONW^U4zqG?15v{y>MndD1_%)Xg4(@NHX#5&Xm_PRR6L9H8!nGaH9A(=AI^6gBw> zY*xOY+JRdUc*vs#ZJ5^bD}ZDT=e|T*orXb5gps-3=}>z!bkY0s9j(X4{l3&2W2 zlkzY8Os}CDmp324cFtNj0Xxv}9$Hq-9IA8iR2_9Ro`;;LSX(hCCE)B4bc}QA;PD2e zG9-kDUdEz2JrL;9xJ7+e-}(Mygf*FX)vjg0)Te^@QwjIJsq!^y29?-2zTHKr;n$ARqMljz?F!$WYqHv_NPQZOCZT>5MiRX*IeT5!>KvNVKvAaU^Pq8F4xh=XT93 z@;-6i5jSA{O*9*<3A#i>w&j_272C9sxM9VKe}NSzt#5yy}o zNiA0!iO!AWoR1T!vML^1YydU!+~o#`w<82S$B2~@zR}kU;2ddY!r36vkz&ED+^_V4 z0pzuaN+Z3PXtXCF5<_UcNa;*0&2kFIK_00s7?WuwkME@pewwu#vKBC#clH+86qK_> z9#O6a^!h6z`n0xB=Ma%@Qkfv)EaIAyA3Y6(noN)RRypWRwRKI)gT_z*t?VAWz*^yO`b zkOvw0h>K@ljL&p$G80BfLCCM7@i^d)Eox*hY%rdJDk+y4GRD9ufM1yO$fM8Nqp3%@ zAY6%tjot~@jVp06X57d5g)WbVj>KgK1mrwP`$o^8nPiUSP`prBf(NL~H2AdPkv@fo zgtKADcaTC!%Bqm6Il$JguOxV^svW;jbVKQ_R$NvE5?Kc!lHvk-m87ZtZ1fv?Pi_iC zrUf);#Xw@f6+lEZXoinQjYTG91fww{y0@_!OL^rUq38P=a6b()1|p!4djx;clNp!u zQ1=CL`XZE1!{{_@xs-;qNQk!~`2_)SL55xxj70%MK6`4dgK^ zNln5jXGoO)7Fk^)ni)*ATbxdHxw5q@T!Tp=1CoSDA|V0tP+1?eHOHdKMw)C+b1L9_ z-IXu*x-Sh&=M>KsPAqu!!x{dm(&=o{n+9ccv_T|aVdLD%v||r$N+cmjU@=^CR_A*I zn}$<^MiQVPmRrDtLCT&v3R?Zn=R~`XgxK~{PHGfsPCn)sn##gZix_eaO`jLf#`HqE z_%G?Ik|!IC1(GVJwPO0{meQz=65XfWURn}U_k20X#=#Q?>hTTr9O=Hl3;pkc>@lSS zFd9?r(7iVt5qr}ipH~O4U@H5E)Rsp-O6al45qFGa%-rxE5K;4I3fHAy6C3pO?l1<4?C}e`{Su{n}QDK_N_`1w9DmzM)+V^HOTQz zy(#JqNhoxVy>Q}Zf&aC8g!fZ%0A7sqgiKE^%^Hq2xSMyIO1N;jKXgM~L+VIw#0_=f z#RJ~;1w3_BUCbGsq-X%YSB70f`~*!M``gf7y$3hZ%5~Cl#Le-v^>BhbUlGh+ zkEMdKROUQ!`pR8{_`hb!FHF3C=ubFt8AZt9cQK-5s(X_fM!@Of>^nnQdzmvFuC05Z zONfIn7Xv{jF=Jg~iy;ZKgY<3eNaAj*UV2DxRB8vm#ZT}MY0vOhGKts`m-*E8E;Jiw zI^u9)&AS>*Wdr5V9B%F9e#_g#EwgGrB4Y5VSbsm10J6hXSPswSy=nIaaY6>jLE0m_ z2D)dAuGvj?k=Vht*IZpK65Lt0cJY*U_7RE_AXhAx2asjD7V14jg8myn`{E0MsN^@8 zn!wt>1q$GVA1IHW2?%@y{^YDN)NjoMl64XpHu4xsvN=p1{Kc1;;^_n>Dmc@r4!);W zNZ5A>uM1s|Jkhey)FW@0EVUcVGQL{YlShks@{GhxfEMH|{iz7*me}eK`|DZtu&!!W z4?Ew?>S4c-X@vNLl;l*7c1I)%`)#T?cK-2&s(e(2|7e7i){0yDRK%|^{ub0--f8Gy z|1zr5=^F<0CxLr?uGRy4_oq{&jjuA%{%?vBNl>OJoq9tJg0nPqzGsbs$hKuTqmPQq z4{k$u4>1=gj|Yx@WPk2OQ(>1dxIU81ydI7#5*W60L#--2e3n@qR7NAG)xB|)Dp4(O z+6yGyv8g%^L?V6K;;<=LZ*Da=32j6&)~V(WZl&wU!s;c&O(rXkX~jR%wC_0uJIp*rQf@;}p{p>3|AgDSJH+Wktmee|R5)Pu9p_R; zhM(#gszfaNEYh^WoR+<73`l-(zsm`dB~H|tMIG2#O_=^p%i|==JW&QM>8;W{q|*>i z-NwTzxksE##FBb!v~pS0bdFBcxkU|3F&r3!P{(ggS9*^)H{Jm6(`I*Q12u1UJR3qo zA1OQ;nLb?52g`1o6+3l0jVxN211&7)k(f2ECg;LbaTdjzI9d{qD=U0&Z!m4Vq|L^f z-dJTRtY$)-2=VXz{y#F8MoU{8**;FWcJ;#hr>WrLdO0B0^h20G&~tO3cS{9p3q09& zuoD2^8FI0{6K#^{fn=xZ1<7!qVMc+z`&b^^jv)u36E24%eA?oG2Q-r8pWB{ThTZd__mpD5Kydb$~k__o4D zo8WTw34I4@-RX1aPEhtdTsRmq;pypt6ptAh6FWy+VTQ4omnz&Su8HyGP&hz$7VN>JOlA zwyZ=}#(Oq{@kKyVp5%UpkK&5a*Y7RTn~ZZOG}%+_@qEoK59A2QIZygNEKAFOMQ%@scoFw&|D7>8P0?HUZ9s z24b_p&45!d!V{0a$--pD$v}?+;FD<5cn@oQY&hS{}b$O|J zt|wHFkzG$<(mi2Q_2;r`-mhs{n(NBaN1uAdhR{8|jL%#Ztu)`RijyhAf?u54mlxWf z^O{I-nANl>EW;O}A|BTcntrILW%!bLU8%`3v}UZf3lK}Kd_4dkUrg1!G&4;UYQxfV z`#n5RrMF=|uZxbawnqMk_P7|ka4~kKm`qUm7!&u&Mg~(?AvK2qeK%D>m&Y?_RWG_V zP`R3l9(Kj5MV{I)n^&?dh~#W0uAXV!2X|-~l&RcURgj>}i{!xGhUHdP-E7e4g1VD! zY7f^pn1kr>-ImYP7#=%1X1-$kVaxe7iecZ&=p~Q2-L>4q<|9}uJqQGN;B*(ULJs8-8E*$)NFHwiEPbtv08REU72A{d$FD*^7QQ}nNltZX>velR6Tzmx z@Uj1m`?Q?HWe4A(3X=Nk8J5|n^SVK=&*JEig&b%-IfNbi~Vu0$K%EvjYQ42Uej71Tw z%8;%hH6sGXt%s~Oae`}cQ&GG3J-jzG0mn)ERFH^B;-Y79gyb=i7suS}_2sx~E30^b zh<`xk0(Lg@B8euC6_3mLQo%pqiME)g$UUK=0SRO3BDDzt+Vm36ofBQESE%R>cMg#D z1>@HTFfBR@r`RZS*5wvjOKfc^jlfPo;-)EZd|_jX0^zJ2L>#cNr^}{b9P+S40kA?tDNY)|NH1wRDk0HLftmQ@ERCH^YnMdPGi z|N5u!j2P;c1`^x=FYMt#$xdG9wx@AJ`v8{8P7S#SQ^v3x%D$js$_11oVGjmsNO64q zQ?|m#+~EXZcTf)aG?tR1O7K{;cgAt(>E~amz?Xz zB#y=08^@!7=cAgEQMJob7^_|#|vlh$` zZyYT{(bRhUsx`D}4&0>>Z@@@vO1IY*K!;#GSEn4qSYaW16?smz|N2s2j$;&;;m(A zrpv)ZIslc-Iow-K+CN*qKpq4nge5V9#0>y2{!b=~W#KEgYYUnU23Dk#q@XugQF8|6 zrln7hu!zwG`8AaNbV5MSECu=kIOnEFh$2`FUn>PCczEM%Nut@#;w8<%E%PLE)b%`AD z=j(xLTfw=M+wUdd6~Yr#dn`2kSX>u9j(v01NLdCS3|S}{{ff?A`CRp_^ACSpDmP0l zmAN1C?7u+ZNr$=j2PCNYkXYGcmg?|-4)2-tC8nsZx534KGt(Oq3h zX9xiOo5BmeLl%1c-oh;*S(eqvky4PhD=lC4bo2dX$qjqll(-6{Hj!4x_FBUV3sr#ySHY3_Ui{K8wK!vsBHaoW@0cBc-sRd<=6M*R=9y!A|LWYl1|btR_ zI0`?&9=et&^1=vU^~{92l0L!$r5+-e0pHZL5dr?bM?OZDj}iF+Jw_NkDvnH{H3%4f zVw^taAzyc~U>b&qUPYSWe(xS=6XWK<-Tl$5A2cgwHpq1(4GWNnP6@FzEPTv-2Z@X6 zsZ3YJ{(cWb50^9h(|L^UAJf$i=foKQ;y<|P`woXKH*n&)yxT)+Lzr{uFbzC2%!na- z<36T>9H{a~_I!p$mn4=AG>-SC5sqLHtGS3xPW{7>$B&`ls?os5zO&=RJOBtM8S{3O ze2h{SfC;Y!l6xNkr%9blWR%iJy8k(17fI{j7D=0}!@`uViQ6O;n*rwwL!xeQib!OF ze{MjdtfBQDlhi3zo1vx^{PI$K@AXK3eAN(0YdF|rWH|ekil@biv0^sdAh31*&Zou& zG4c_X9ZXDj<6;mXqG-(M&;r4+IjI9`plF-(aE<;e+z00TG zjYT=gy#4xE0#^2Z%+I_$My@NX%^TrIR$;B2;pmk1V`0Ii2xkQNAg5U=MHym|il2_f z6yuXdD4EPk?pwwbfidpzE=%qk@36&iWwTt}2&H zVP5%d)YYQU?;(d}=Z$u5npR>f5ZB0b>wcgW>ONR`iaF0~j8_o6n&I?WAVd@nB%GR+ zk8s=_`vNL}>eA9b13OyN|8uD9>4420_MW6((~oj>fngHa2Khwr=;Wk#KYfAZ0LAN{ z(a+aEV-7Kt7XfW}==SJbCI-~d=8A-n^o+$BxY2fZL7M!8pB=(1=FP8SGoFPLzM15HcyL`OIMvtrcT5ZJq+e5U}kQzHL6{h&TG zHeiNyff-I+mae#2WkWy9^?|h|kvyeC8WmzR6zJMeqH}r52@n$=QtHAL{h|lU_js<* zb(7IulhSa;&fosIiIz4mQ6pGLIv%lM>`S`t<>V7(hoc_d5BmpCoIGOnV1S(x&g>e| zt2A%|DTCVv@SwnG9NjYlE|<|q5xv2vVDW$pDwo8#ItlBHG|ZexGn_nA%ws=L;vy0z z#4vDTUC?rpncm*fV<@$d*qTVqIiBN*dSDxc3u&>aHYK;x7k`>SIjL?XYXlU0nI=D) zMB3?ttCQ*4Bc{%y#cP<8&nlnVlsmcR88Lm%IFTBiD^Sw-h?*5al{$?k_i2`(chpiK z3P;Zkp54^bG`Gex=8;oA4O2ktE->9k!6Y4L5$$1@9_o3BjFFn7k5t16wQ}3RlLTg& z409F}Df}ySZvs}0WYMkCL>iw^lN7Oyb$L-`D3#9_h|ZE6((+EG2{k2Wu2uA5MxTZB z21utyMD%GQy?57bK_V^&Ak?Fe03U0rcv5bcK!pC~A@?tzSfj#lF|iTzhE@lTYyP-g zcxA%=c-{Bhn9}Nj17`eu0P(FFrPMXTnO2$>BG9q4QX6sLl*-xh;Tt=o#cm`gKH~G({M#LJ$J+y}^viyyMo>{p2hsj2OpuVfYCI zw76)Twij>nRILE(xvqL>srVVj7~naKZZV25_7J^H+F`wi&w;!>5KhgD(#{#YQu5k$Kp(F3cEkvFts04uM||`l;ysLpYdkBOtR2Er_2UKq=Rz6RbuLfzGN$$3HCXQx9=3A+&)=4&+`bZV9Oe0~ zb80Hd)w7ve8nDUm-k&tM>8O^L;||%_XX)d$P%zU=BgQaWu$ivZNX|GBI&WN4QxP7Z zPY$C9ek(IJlS`~*pP%0t8Q+!wp>Er*poKU>R7UhFopUl0M$Xqs0w33Ybs?MZ4cN_!50pY z#p^0rKpg;e0^oV!xJvn%vnIiQQ`lG#QcK2eAyj&UOb3m;oiw5cI%?7)3J!*vz%WKa zDpldJ+Ar`L5`)*UBzPZmBNvJh8)775@Gv?~0E=^v#$R?S(UI9dr>2>JO$Bj;0h7id;KBQb7#d)`mV4NIH^?(1?jcE#t9X{&Q&YGl^xiyVJ zW=VV$mueDSr*meKNX;galLumpeZHhi7WQTd_(%$D!=5E-8&i)yVxk*PM!*#DI#YLr zR3&2W+>Cb9vE^Z@L@vWN9?zPDM+r8$x$C-)K(@G9e5TjYbaDhD(5i^etrP8dMx@oe zvL&y7@?D6#H|$6n;VX&mIjtB=Qk2GNI6Jp;k0bY;we?P5c; zREkgFX-NRTg=m3jmrNm*mZ8Y_1i`s5AfYB+V%Y)l^saS?4O~#-GM!~r%HFLml#orj zGt!wMY3i84uNDQS@i;OSWlQ|JHyapekh8>3Qe|6=vUjG7T{)a}!^$XAm}* zb2FUzYy+}v(f7rAKhU%5%pkI%$FQsulI#<0)9UQ`4o&P4H<(5w)_)QYIeCnEP4cFy zJPyb3|IpbCbjz-4dQfN><;~DZwqH5#EMj=tGV$1gh7n&zR0uDf^5^2>p^bd38cue{ zNWJ@lktyv&u7Jz{oQG);;)Nu^2p|!>D}Ze-E<6cge=?TqZ(LnU^2q{KWP}UGBb2ee zJiHN$6CRy{qh%myTPB&o%I=s3gy^U@-F`L0;ii-g4Rn?c&Bw}-=b7Gp@C z(<2lj3be>&ZRUD8)ahcLVy9W_A-%Nq_QZH_MU7Oo_a-V!XVj_lTtOShDW~WnsCbdU zlc=Q=zBd5WVg{l`ZNt&;w&;X$r6&yR`(4_inK{ zB1Hqu5}ciNpo{yR3wgAuKDKs*1ATlb87XI|`+d8`BY2}dsvIfg0?%`O#SaF?TUyNN z36VbLUwL8n7<~o(SnTve_gr4xp)c;0rcxo5SF>_UTRxSG!SgFT@w=iwGISDROMr$y z-4fB%2wgn4*;+SVC^7zaD^lh@-Y+L$Rc+wM0;e;8fAyu{*f4bd#44Dvil{SD@Rj!y zI0;TrHa5y9P9Zqm_Shm)cZTwoKtEd2v2ZBO1i1J#Ku<$`6&T!bWE*8t5*Y-nb|cZj ztb^Z%|KCD0>Al2p&1@BG1+za?q==AAo9-AhR` zmcUIvM?@{6er(q>7M}yl!-^zAOOOm713ZZ#;95`OSfteX`!l%5NsI22m~6GnXFsz1 zEvGn=q*&_gU;so)y%80Czjm3VZU&{z*= zWXW6uM|ZbBdjh_O%t-FOy`FClYi5xGhzok)J%hgim6Wa;#;8M{kaE{HF9p&&Qioh% zNo^|z{=RW*0`e&>C5Pd>kQrkQE#afoz&yf5CEpf(>WJ)&7InHVm%V?~8_>&l5hGK8q1b_86h9G3!IY zQt~J1j3+BP7HitgccyfL&9QmWM8qllFphwlq}CIaq#F51gSp+pQDRR^*_$MSTH+QV^hFmqM z?*=5XK_)Yook4N*%nCrwyAnW%8t9yzYdWC@x|(gK zMN_OfGo)r2dj5BD@D@u%kn?L;EEKdV`~8T7hTJ4YL+{d|2cP&mx+&h_!}81+vri9b z+&p&E4%Kn!U}Oa7D@|hgv0ArG%I=NW6BRPYp30XQ-MSmr)wcQwN?^s>l(FD~v0{_n zb*SAtA6oYVd_@i=H9VmCSN^+WD&S%l2D+ww4_K7v!UGq&Eoqx#y~DLxPdbuP6)#oI z4Upi3r#yXr`^ty;lqg~~I{{y;~^>z}nc_!t4fKpcZ(r4x8-dP=u0 z`@EYn2yS2{w$X30*d8&R`+|xUlsyin$jgP6}Ld+zk@ND@l~u4KP5mk23&)H|%uJ zvc)O8~DRalLi(k2i4e# zS&wUY2vgsJB(!LAO&cv}BZK-h)f(nmAe0Q8XebklQlRtz@ykAeW1W7a+skT8Lz&wd zHyIMqVr6LKj0QMNm$dMX8X*%o+Q_1v+RTDjXrTvc>g7-c*hNisDtA-Gaf122A+<*; z;EL(agTtqx417*nZovj>%517cX7;wX2^_J)5%|xL0{`jiR=uS8>iG@`?snK>5Zeqa zyg~`$x;N6P(xiz^8r{H4CU3SpzoAaX;d!fGi!!w+=`@+j>L5zf1w)#~DIHAyMEd6d zPk-Ks(_(o-5?-9C^iss-I{mdSn(@zozC74}alXLjI(`(<6=R%MA2<^qqWJ3aOs5!Q z|L7N60HYPO59|KH22dL#S@hdaOW+eQ^CX{6ZyhZsM$;p}2=4P1^l;GM+--uEIDNzE zwtgru#=7;e>u+QE*1P~0wVwA?cfZmb**(6k_cq8VvlUsh28;@z#lW`%)FN+p+vwop zaR5h<=LxgbG-!&dSQ42A=F55CzEL|vPMa}LZYyUgJu?;KuV8$M;;-~>eSP)OsxPwY zv&J%ivr?JL(9}AuvdEC=IZE!=4p$EfYsR&8!nM+JF{`D`% z=p2#@**mO81`qt$d29J~O~10Qm;5Qe?vNv(Y7vG7x1*3TUXUgb?omUxLKLL=F42xr z0E2eUA4!@Yzk-ukY`$VGf32Brm}$grS0n}{&QpPRqxmXAT_7Y0$zknFJ<$c)HwpnK z4n6xx@+-`j@RMfWG(ZeHN2;$m&|Ch${S$hh@8OUYBrJfz`bf2M)WJxLkNGR#^PK{( z($~MnUxJS09L8@!JhgLfkFS5N9|_@wh2|1--=QbP>kqx5Q#sT5ERH&I6RjAuc@_HaIMv+oi*RSx zx?dM#>%_fIu@fS&YR;`5Xng4#C$#|Mu_h62oZ4Lbisjtlx){tC3H#wO%!~6+{k|4m zM@@mquKa%Mi|6u=+^Vk`*5TkOB2Q-qK06h3h12_vkt%Q}vNkxzV!=B|lZGQHL2<3wp=RuN70J`Q9 zPh8}g%sQdX*Ts?E!1E@M2%U!_HfrKzBo;hpdN-WU?(xdnSWU`-Dq|Lj4Tp(d=%1f97iM@k1bN= z8(NX^X5$!)WSPe3jSLxlTQ@z6Xbhb9`h$Bcd!keJn58MZ^#R#O(*;5&s-~yvctpt5 zwJG~~LxU{N1s->#424o$LcH$EO5fv&6`1o{qnOUD)TWKb#U?U%;Xb)gLu10s*xH>4 z;DVh{Co`K%JaUn@2T|-@#9%NRB?D%&Vb}5)$!lyj$;d`Ao11kLJaDEpBtmH06S{}? z#EPCKoFvjPN@rUr)r$sp02okkf!T`&xjY0nUz5+)U98n!usx5IthefqZGC=Wtll6) z2#&lyHIv+C;+v2*jz?VVpFBjNB zFr&!CYR^JeGIrx=+H(?NY9j!cDw|O_GLj4el7s3AQ8vx4m)Q;HoMPq#=(E7)6pfr1 zxyUOR&v4zghjER_j3mgtp+cKB_OwfkxV7AziJ?Uw_(|;R?O+a7y4W-Wf%@?@nCEl? z=>g@mJH065_-ur2ih2^wxTPaEQN+P~Mnd@Mgxq$s6C(0`gh<6R^32;HePGv5`Zr9@ zrYoT>KHnWwtg;Ac=~Ob~m5;pSoU&KzY*f+=zWPjT?h29<46)CXdv{!^A*>&wyLZ=6 zdw`c6M8FsoZh`Zcf3DLki@6r>dPG$W_~F78pWjF9k?Zi=Yqy6_`8RY%)H}fM$ObL? zJ>!Cw&F+Dd2qUike5FsQ+ykdp+f^$pKQ1Dfn&DhS^%1iY8k(xO$E-q-=t06~=_BNw zzQ--mhNEu;#;Lr=io-lsSCWuns+P~{ilYnIyus;;Atp(yC37=-i=5yX^^L&{xYNOR z*xYSy=Cys@iW3ZgK<>15N#?b6@$9ai0E%`zPpq(tIvOM3%_7MO{EpGe{vOjiJnprR zZcq{yS68dg_b3sF>mD$RZCyT-aIvkL`}`Cv<~#O8dS~H$VwdT{J(IXNSPN(0)(CPH zj8Mtg#_Ep;$>F>&R`jxv)$;~VD1zyHUCcBcbIsN5FOrf{Pw4IR%PF#N8Q+*W{?9-A z;tT!mvXGLror*C%S&J$tFa~&uM_!QShH_iD<mXh9V@2iPcK!!X^&n_PkZ|3BNZ+jdQ_iEInB(k=L$|&HPTZx^i;!A#o`oe+b~^ z#-n!-ky7L6mZ^52zzGedBDD;0((sHEKJ@I6^j?4^TVw0P1Ee|+o6@7hkJchxDjQ-& zTd87B^2?by70g4jU{R0u)v<>itRD~y$76B<(2+;;>l~;FNFVMYD_+Ar>xosrEyM}t z8xlINMa><;ZY;z=^^IH6jk)6yDVygj^@N_})F5J0an^bLOVNu^$2qNz?MBa8M`wPg zJ4@UdkQKUVoUg_7|-0QM_3}DEfRL{+?hfJ}+U_RW#>*Q~XWVkqGj@)o3>L z4P3i_2funO`zBL*Fd#g})hN`oJ8*u#+u}O}Z?aEJdg_C_EuOpf{C=Ysh2LbG(m}L= zNu_t|;)NvhMT-|u*Negnwtx9cEf10)aY1Gf@!o1$=mcoacLNY|MD4fgkwm$30kh!& z`u6M{+O8}bk#N@Q^RxFC|IVNM#ee-rfA2s1&;R1D{8e4%2$boLreVFWXxEk^#Go+F zmXfv>{8?5V-*xZO?5PFptm3ZedG>D6cN+^NSN@)^`yG-?cjr4rq(6WDM}P4*|E<6K z>wouu{hR;A-~F>cdAm*!d~TQMGU8XBON7S)T7dPw+`8NdBsC~ka(bKJ;6iX_Y}LkY zYWT?mLq!j(KG0>)?XI*MXfr&3A)MObL(C`%4!OSF)!p93It!O18?q2=k*nGjnX5aFFPk>6T>s&O*X(6p>OacW@1a1_{7JG%9%gys%U1K$5AqI`?Z2@ct@Pk1BOShWF^{q$<}h zG&2XU>>*z4sf3E)3Kp@mR0Y(Q&8{o9wAyqPDtJsI>MbLtvF9t&Wc2HmQ~&@h#5dbc zar8w4Jdd%Ep8++Bl{`4zJNP_Wz3|h=ByutxtbN)R`+90%9zF)ZlzSrK=*itRRo%X{ z!>WDu0OsyB-Nnm;$Bc1#fmP}rhE7uWRRI6;fRLIdk74TkgWpyF;pBEa1qM%!wG)uX z%j=Y&bT?EMtO97#FQFIfqyyRl1-T~%C z8rZ-TKHRqvGQ0@=i7QXLluh_&?kr2~`>x?;--pjDo;k_YYkR=Dc$WDj99 zLHL_h;CoBXtIA8E*o&Ms?v8I=aC8kv@9u|iQTEk+E_A*%$Q0?G>DDC1nWZVl5eon=++ossm5F;?j9!x?8~6JL;T9FP(@gE!~dogs}v zhpyPZY7W)dz3~H{osm0?p~w|2>nEBGRUA`?k@TIGGxvAmWj>;Y!wcl~KjNhELnBG< zc}O_ja$t`hV_ebD*Td#g?RpxRvKe`rVOz2H^s01crRd=7kbPdbhO=g7875`bB9l2a zVn-bS(G2*7FJlAwk7DO8CyhNOna{FaSnDcuPISv{isM_e?&|M3RSavemVDrvuQCVp zu!=9XiNJ^RS##45fSZMp^G8U!qmdxQnaM=1(($~WA-PE~lP^g_0rqw{>WqZA@7m2E zchv`XwSvI8DXtGr0qr4)tQvbk^X_%xzfbfS*rL^G!72uvlY|(j7Gyqc>NwllF zA16MV97IXVDY&CdNK%kgUGcq!$#hEwY|0aO1JLOf1hE%|DTqV9h(Q#9=rCN0>U>KU zBvHcPa4GQ4SgX%OK8WgSb+x+_cyXe_5Fn6goX6-*pmZ%U2%2g!0;z&~ra}NX9iQ}r z_7c%3p@~5AeL)YZWy5f0#wyNXjEa!XCr}~N1gbwjIDIi}DqyQ3wfdbt#bFfFfflHU z=D?>@!i)uowG%X`-SVgn)e9!67t^SOD)q83L8wxi%M@g2GD&dd%TUt1X|N5+38rh$ z{3u0ADta^foE|$3q;dt?FaD7Q!cFqaC~@U1PbSgZ0dRrAL&zp+Z-if&g2EX5jZ+}b zg}r#m0C1WkSe&$!CVv&LHb*lKQ3* zng{h|%Z`l#IWXrKW5S=~)8ve6ffg-;-NGfWKlsPK_`-g`>ikEuSFEGNioP$76;I0q zo6WK6bh2N2uibjZ84pgEk<47=g?lSD`T;05mSNsA;p)a#e)4+E?vA__638 z96-!eYup^7%@P1`6LfFq&uzCNu3#{y_!mjAR9?lLKf;)Assf`bu)ICMGJBX%pXu>e za65E{ZYW2Ew8J)r*`w8WsEkI8&89OMyR zt$@2*aNQP)gK?fYd9cxFMD2BZ#H~%d&>HKDF)IJT$u(B$OLcC&wm9&WPwS&D&(-?2 zMfYY2UN0QkRswQ>mfocp4rNKrTK~rlU0Fz-kfy}`_1c;8u35K?kT|4N&s#-H+w5Hm|MEH-Rq(X7V zpc4#AObZ5s3NT*7X+)8*I~I8u{PvgcDii8g>l$B+6I2#R>S*^R^;r2*^i;BC zxCV{Of!vU2039qm(UPx3)*Q8t_Lv#Z8AJ!QBpV}XY3uImyTdBsSw;%wjJasFgrqwi}9TQ>@0Ey4JZI7$oZc%-0IVbnnnm~Di;<&1ItE#-yG2+7zCmdI0k8==6(BKXx zqVDcIbDR_X?{uo}(1+fktdK5TA8vFjbr&@(u$4I%&4pTWFD(O1rL{ z?0il)HOI0^ICgZ{(KUAWh`ZoSrOk>5tWBNpDI#Y8!jGD<@9Sa3gtS(w^Sz2wjih}k zG?azG#GzA#PNLgmj06#GniFIm#Lok5zmFL1oB5`L0t(y>a&)$vi{7N>v-!>na<4^} zbQ-_cU%%YrHE#u93xG!~nlVSLLoZ6&5&%*_t-m}s#i=gup(LF=p)7uJw1?qu|4ds@ z?6`NtPMrs&y8FN(6|n9>7vODS=lmtxx7kQV-GgzEu2zU5Bx)dFv-cV*Q-A`YHwelF z`Xu$d#!SK?RO3oZ%D7Wj|+}sUD4rkp|!dncF6m1r_DC`nlWo&5vI8S$=F$-P(oMT zwHBrB7@a3C)sYs3^VLtm918^eD!rSdPh}eC$F53&cq|Biq>rieF;25QoFR{e{yWnkUb#pZ$jDit&D5e}zqn@V8ToVn7C#VgX?G=#-*+mW7q_T%4%1)EILhFM@$#@!Aj@glrVT zLB8=3V4EUeV9~r3x~-v(&_(V#q*%fQQ@13+;Y&bA2MolZuqye>QQyb$%Ak&AII#Gp z%$jv|Knjk1eyGgG#PETs?IExa^^ph$G&y-U+_%fqZ#rE9CKWf!Jhd>abX4D zLnQ8p4!4xYe5fvZOjY!1rbiW`?ANaO9E#c9)mhTHAE4u7x0?>a+yf_eat}w3|H;PW zu^!TjyT>OwvkyB5_-VpQ+MgsuL~YMBaUg%Pf(C4I{G|d;fJ@Wzn2nr{ZQWGY!tlw3 zFiJw9jOFhz&*g8W+`StMpXf0i*^pETkq7bI-PMas#UX9zgc}rsF41&TN4Q#+GiXqc zEnPTa!WuC&!cQhPzSR)vV)__DKiMPm!^rQS_-(17=E$Cr`ys!R2QZZs2qw85+!~Z? zhw6oqt)>YXf+)8&Sy0`ik{@rTsKKFq%WG0xg>2``XNd^nM+D9(70v-w#c;V~wMa|A zsR3q+s6;TBReEDj&F(X_jH&^YYW_?cr6KR@ESie7i3 zA71>3Ok#+(tLez;p;W`W0U~5wZ8jBbk-+;Lk#V|WU??DGrSVmdBOdKdyjc)GY^qS1V}p`aEdknb;HAuIz|U!)7*BJ znCdaX@$IsGQO9sbHe+OX;*1U+VsL1_pw4UBId@h%x!W54Cci+20qA!S)U6|7ZH6%z z1`b~V6&ziNCp}8oebIFDLNBE=U-fWVMyhT+e>Jn%=9VBIjgJR?3J+#><)lL$+0~%q z+IXA@wy4mSd;P7iR-7ytA|p$X;c1^SN)Qm3z|8}2BHmgX`0O0^$bOV)7qoel2@zGkz>mI_kn z5a{-AY5BOriR84QbFU@PM~`ChK#V<&c(Dh<6Du^%KvBnyakFnttZ`!3gH&*S20a7x zamZ1=TMozV;Mj9$zykCpR?Ib|OB2~bGFUYW*mqC+7Dgg#o!#4O^sFvmM=a|NicI)j zGw#S0lqJr;Z=zk+w1jsp-Q&=E(VGxhT_mMoUH1F-qMvmRTdlXna|`Ef=pD~Zh4dD* z0BD~3fu0wAF`TQ4UWxSl+tDuvx(1t8r%GNjSe57Bi2kXibMeE8PHGwzexk0+m!hGw zh4xK@lvY2=`_eWytt$4z=e8=c=#NG5=@mzxU$Lf)e`=M9Mc5bc#s9p%CO@^}^tVCy zIdlH?r*tR%O;>bA_kV4o4X|yXA!&MOcIZ)v57^W8R1f_pcKLrF^K@|rA9jE|;Q$^@ zYYaF;_qtB|WB$~hqL?IV1zsj3$gGPKKS);4gbDUCJyXD0PLKlrk5I18|DuNXSB6h8 z>1p=W31o2g3Z#xLtS59ftzEdq;Ecj4$Fc99!z~nUuv)<@lwC7`UX6e2`5#9JLVSDC zE$}^DY7LV}m@rZlv>QctD$i)wVa`FK0qCv2-mmLwyDi^uTP$pM<-VQjy99aQMig3P(^0$(FvMN9A?IH;C1;yoG}yvCXhmS+&q3I}Vma6YPaSXRHyNE-`*Y z5H1N4-IqwCZqn`gfdLjw;n*si&I%*3QaK_DNa@5Xo$1nozd`4F)Als>xfvlQNG*bV z-s6;QL2T9KO3?mjNkgZDA!76bcvK+Ri^rG<;u``r5@@8j`LJ@+k{haEHn5QRoAzZ4 z`xk=DCWu&kZ>3ogG{38orb3cv5JmbnMIx|!l4PxXksx+VNOnUL+cc3kp#h+k5r9!{ zND`X_P!|l*p*xcJH|5hY#9kSEyk=9ih>qaiWJINIs3wGfoP$pH1A_bvvVaieHo*h~ zV8Ci&xNOjUS^q>8EUD-jt<9Od7gJ6LhX{FzrHwUB?%OnKq={wFfFo1aG6pG;gf}F? zteObMVIDLN-9^iy8#jcxfTE;Nc8$j;+x{}gu3D{dXX3cWfLSCG(~_G>!Dn& zSVtAeT1k={ip*d>$XaPC?DbgBAQunp;<+i#pfa98+X?ktq(bn=KgA#@_N6?$O)|rY zdT5EpNf^a5bD%cU<;eUc9#yufM@d=$I#l8yo+TmDwz@pLYmu_7U~v@2mW?kmWSmpP z-L#-!JmWA`v6VZO&z~Ao_7Ix5}yL?LGw(fu1G_DzozejSal9_X3tk zIu*xAcpF+&+4~bE!yb82k|g2GCKnsR$;EIrtdRglvK>uXqkJT~jV(K%y6GNU^JwgO zBSvYS0@T~07?+btXG1fv))r=Mz>R%HI|B#jXf=Fm#p@hXA)O#mj$E}9O{k_7Xq*I} zs{=bp>GVjs7X?|EIRD(2UwpAEU;<$kH^fPojx>6Xz?xVWfNwo|C;_(!<^V(98Zqo^ z2aZ-Ha<|Y^pgp@S)M1?FhCK!Vo(Efmn?zow9>d@(?N89xfYN3ZBZF*y-dE*wHSp_! zzG~>@%W)L2erl@`9fld~7hicKqO)t_Y+W%wPx z!8@Qov&MU*j+fL(cudrxrmmVT989=uJ}Vni;~qox70hx{mQ`Zh;Ti$NkjhyTxS&cO zky&M=GBvn(G(hl}myRBz=uUfRCbsnAsGjNZPUEqvIU(MX-b5y+`D2!U<)zsz7lS1# zjhzoB{Utc}=BM+E-vd?$n@xU_!NgGvLwYb9l6sM_6-iQUZYmZ7baH z5Io`6d*O7z#yJpHsS|*o%h7danbCrH094J}N(c+h;g+tzt9bqZfd5dqyBc?6$Ea*@ zL+o|0>$VYZpd}6^b44^TmLelj-;OW4P9fIjHZKOKfv`;%^LjvHhS}Jz_X7Za0FDBM zk)2p02qy-iHd^qFPBqc3_+wMF%%cG|FyM2Bgsy}{%_Fp{w&(t)M`c~TklYL>q=7vU zr*k-(_%UkusiLpIiI(0*yWlkgkMX%Z!rht{>>$IuTm(iJuX!p?i~^lGos96sEW~rV zM`C4qxZgC>UJOfoU&XmmkTPTdMi!i{x353cbk&zl_xkJa2a<5<1}W;-U)kff%Tp&kJ1TJ?yW>2*~BPE7*^r(<4|V^fql5QSCIAVO*RnZ z0rBC3!P+xqjro!7euE;c6SO4oFk8#)db{BYCvyNHt;+Idr)t#gi9P_TCbCSKlaj5S zIG{MpA0|IqVhFK0OxtXcLPSYImrR4!!s;RU)ovHHy^0LRt;GeQtO$vRvE5}rqq-Qn z!sWZ$8Vg>4%SoCi6OoKC0g#R1z`14Lc|d~DAdQJ?Hu_k)8KtW>F*6%v`tj&G@5Gyh zK^@%cz0>S&`|MmK%1KG)2b?V{sE_Ob?Vf3XkTQ{D+O~)ZrES<=9GV2g&XZURkAFDi zv!xVZMhH7*%^B@c)~mCwYhXV^kg-M;-V3x3kHsevK~+<{P%}sn>Dx~rS|2;=9!ZVu z0FU|IXOK3#0w+{)xD3ctfIGYSly>g<*W#tcEwe@7Roxcjx2Lva(1i6K=&ag>>qyVf zYQyE|+}N11MYnSS``WiPbhl8oawg#yG#?)K>oa0OU^Fo#K&FL8YgN$A*ifsgwtutm zs-ynA{?Helw`%KlN8KCcO4FHvws%z@;M-gD{Q&q{yE|N8wJLfNB%UBt=mlbT_f%3h zJ?KMQe9y>1{NVqem7sg>2BdI|YBg1OS zf*=U%a_806_XDCz(I-R?!60Sw-l1Nk&*BXANGM4!ZP3w^EI=-*Bu>)|C=qEeF@!Ch zu1~so=r3UBAgPuMw1Aa{2I%3qC3Ud-suu=<57_1)&tfFtdyM>v-?{h*gIGx?cjfm3Z4(^GJ)X-T zjWRz01tsF;^B(76hq1NJ4`vcU>U_Ze6f}Bj6sUX^OE*lazWG1^kjQ^i%NE z2DYH~gsR;w$E?Hm9}j8nSRSS%rG;^j$4HL&m=co)%W&(ptDcquc(C(B`Eh`ekf;aR z_s}3X-~P@Fod#|x@Z!*RNNs{NK^g%0j*tw(<@+CSF#}214l>IiJck|(hlUed(Km}g z4S>aX0g}Bnu$0ytjxwj?t~*|V69Xt2j^3dA_JvL;Z|B{M^-7WECiBpCT=Z8erYB8m zfvaeoOD&>OqY@mg;4mh5Mi*F73!IdJP@7-~gh{Zt)E;MtyeZNfpk zxG+wg!$|UQnL?{K1BWld%TIFP!gUCt*SX9FJIqmwtM*dB+lMH5<g!w zTFpI13M7wC6CMnDV?DR%?`h~ZL+Si4@0rcsLY7ZVrfZ~k1=$86zg6>q1h#aEZ-yGq zPSEIZ`Skz8f{r23O%@RL8u`-JFW18ex*P{FO_pz=*k^`B(5v|ZnsBpK5GesHRU^>5 zE-xANke0j?tZz+{t0Wf)&Izb}io?qVb-e^EWN%dzhIoA1sPKVBCH9X+cVNy+qd>!{ zjxg)Gc>?o|gK6D(c)bC~uy zh3~=gTaE^DMQbwk;yE6>STlNE#bP#r2k)n8;?1$k}2tR!Oqf_bb*g^^@77*WPy zYqM8cf2yl9$&=fyHW>qCJ&s~;hD{!f>r*1!R)7$T<}v#F%l+tOOk8ciK? zxuic(!GxY}5#2247(nM?90^f4p{8phPRZ>Zn&NaC!PWyHzK8=y==>jFjsVW=-NUjV z3<+a$LKCb6mlAXBBL{Ge1cva!rT0W8?jrAgo!$RBq5p}O$K9`i7=*}1pK}ivt1F`< zbn+!!!|2lu`N3W}pmY&Ty9$UR73MmJw_!bB#FZ@yzcVOZCIrFDnU*Nsi@ zeM!4Z0#Pie^T6c`T-ur9dcMp6k{l5Gf8$3 zbAqNkrPqif*|b-!K&gwF-{;!p_e?Bfbk;Cvst!bvOE4G#)J5C|(w5T{?XjYl5OT&| zH7dJru?;mql(QpwRqW5DagdQCT%@I3S{OR?bZe-I62oKxkSh&I9tgZ29idbX`kZyw zZqM53Li~>8$VQ)$XUI8l;%mutu147SK=b2=1MLfkqz`)FyKB4+8!h(vBU*eQLz5t< zQ%f%hq|9bN0z^#&;=vF|Hj9vJRyd|G-1N>mGE6AlM3meN*iIGfcb2<8DNX5?`;K4a}x$(70#wnGtM@mtL z&f4mGMy!C_B}ZH9fBmV!bnr%Kh0AV4V1`3`1E1VJ);PeMTU7)M(3wn(=I%~J^lizuaAhSF4_@#F}KnC&V ztTyn0(3!P-YiIGQroPdb9%1Gv^y6EJqoy1avinsiQxzh76KKGK1*ARt)YvPWO?)>5 z&SXl2TmGRcXOk4@1xV`(3jl#TSbXmJT90{Qm6Zh{W{6g*zbjDEeXgJuJI{`AH4ZBu z-aB;uYCIC~_t;H)2K&Tkl4 z2Wct|(NjySrM<2vot74W)kq+5*$MLN(E-?rRZvbg>|t^0m3t)Pw1b#m+EsOn=mr#~ z<9A!mjtTi)4hx)a9J9cj>kVV`$n})#`PEIzWhN5mzxlZh2W@hR02P{p<~>fCDDm?! z(jEb5?I;gnno#c}8jU*-?}z~KQpoa+R2V)V&5vOW)QM&B0L4SAc$6TLTs=lvgoN5! z%Lb65hE9~$s)F&iw7CXUG(e953Hi}|Dj!s8PUUmn#z&Q=4!xpT+x1e=MTA!d%E!tx zpjc4cu8J1bAYJ!kkbq`C>{_>f{S^YlUNB2JQRV)u7EsVYKl&N6aI<_tmGG2OVUo8e z_y9u@W6u4@JPn-eesA=+&FYDyH!#&_%YpWD_FAz98pUI-1jqn}H8wlCkSwz)JR!9E}pAmUA_K|hVKsAy^k?G4T8mNM5rW6 zZ)YRqhr(l+#!N&vse5W`gne7H(E|prE*P?byBvk=oW>|U^dPT+v%p}fzjXb3^AUg) zL&Yv?MZN9H4T&SbVS4>x3p*4o7&I|njDwQJ;)fv!my2I7No%B)t|-hIuxnr|HhR^% zr|RXU;)5HVN}xY3yNb>LBI3bL<5`5b zpE)B~wqiu^ESdp3K1PzGaYdq6e-U)|32^d;+5bb^oBYa>op)l7gVc5yUKudZuouw? zkaeF`bs6(eK(D+r;6;1c8zV9^GBaLAMkHgn_vKxQDw3i^QB6uM%Y=qjkz$i2ilo@3 zk!(A8r88!npJB-(_SiJ6xq>mhR{}KR#;GcpabPiCMdmDe8$fP{8CWvK5GcnAg#%4yU7IEQ-FX0Sb~xQ%{;PI` zH-N#6D2iLQxhZbnG?z`b#WPY$a(k3X@R*7GOFS1%W}o4; zA%&xm)=(FHyh@wA$nvUT7F)0dji7{K!=qe$>Dz|RNS*N=T`^|x4!M{}9%2`bL2h;2 zn?-hLcE_XD?WnvbEf)`RsEneqg8Dn;D*73S3W`qpL8kLkM_vPU~~M%8waV%-Vqs-EC>UWMM(ykd)%Cn%6w1_i4@@ zvOCtB<4s>Ok&>~bLT7fD8?zLKw(aU&#v|m}OuE7h3Ruu>wWKa&3oeg$3A59Zr9&wf zoT_1cSYJ0xW2W(qn*%W{^(CV*7O@k?uQOcva0Nhr)erMeA%;a&?@+ZOMc6B8~P7J!JQL zk;<~=`4GQQEi#cWT#1ep`{gbxAsW5N%!o(zqFe6hZ^Ce94LCI2688>m#azTMQj1w+ z_tjCk+dg+Kdc??tOa>-cLuV?g8j2fP()9_l7-!`;1@RmS(R1(>Gp`ktfu52NYX=e~ z=}iOOr}6N{2&CjBQDp5phEo>Z{?I|7HmUy6%1QoA-=tNxOL1flx@P#anp&lMwq_3w z8b7^eJgYedDcF7OMOtol)y{HFrM4P+8=Gk(S0eALY4EhFnP4ufuIL+#`vw#6&>8W@ zOTnXJtJ4tQzB2I*GGguNW|ODX?@^9afE%Q>%{4mxsGCl(*eL9~bw@Zdu>&8vY(W@E zsc2qQn}@v$m3o=>vkHGQz+OrY&Q;d4kiRvo_XDhkqEB!I9Yh}w*Mr)m7 z4hI&Llu>)Qx~GOZwJ%pD6O8p$xogFdvUhy~2jwt7L6Md6gL--$*VB|YV%$)viel?g zP4!d&UYNgHqBo1E=ZVZKG^^aJl#LmDw}LaK^z3VDYbFV#+C`MoRE0OSXq9@3qKYHM zBp}5ebC8e=W6Gu;UO2~B%O(;a9|dOaO?Q$x_Wv zf~FbvG#L#k^B50fzWB)CgpwWdhM9+j4`=#h^MX0J)vvsl_K;0_J3$Z0(q8otkiyds zaE{oZ6GTVaC>mmFufUhZukxr*qNiLPc;pYLbAJB?l{Pk-0+UCVji=CahU#F#PI zp;yd4(-YGux^F!nNI4evj(X@m9w(Nw`D<<9Pl>dt0?+fY>u^SjG zOSiVRPWw0o#{>hptaw&hI(=E`zN*bt#%MT3S_>8it$zW8O%&afN1dXCUcg$nP`;G! z8PtWs_lrkq)QjM zgsDmD+f`O6PXk|-lQb%5;EMNEllE1}=hFn7KF*bEh5#e5{0`Ikh!LR-I+$zxHruLc z7ad>QM!CfVlS(g}l7(J3u%NblnF$(ou3cjo#$iZm_Mzu#4#Aho_kyAoq}mMwae5B` zMV)9YFPqFYjO$xhq_v3N{HpV+8`%LY+c+njzEpepsFo$=?8nW9kxkjq(X0X2!&#>5 z0(04y*cklWs&)1CO65$2hu_6DVCcs;t}v1E->yRR2hYO;L?Dnn>ajLemzT=N zMvXAXq(b;PK-@17TD`8WCmo0A%EW64)rxFSrPwn!A760Mx2K9>DwCB; zIaMoZtIhZ?J_Ht(1~8oW%|`iL;&d~5A;Y@~MhX97m5N-9i3%91P8U^M=5KugJlyEd z;v0+f?bmntJ{OOH5N+THu1C4pYwejSqG)Pc>oN^zAj?dPUyb4G!Q8%kMS@wLs$yxUJ4Dtx2GmIHsFhN9|D zoW>jjXTG{hwHHvC9%$s;^#YWXpt^O}Xg`K#R~;Vp-aYE~Z%~_;^*~-@u);oTx7EsG z)LCn(z$a1fUFW5iwD!j(BR!Oz33qbdNYccvWbO~_iH8h;DtKY0^`4LmvirnE70d_j z(uN9o-04D7d1KJ8*A#tEyJI4hEjA!k(0R$=uoH?ooswR4#ce`^1NEW1t5i&WXM06$ z_b!uMA?OsPm_>CYurfV^=3nJie~3w`AQL}S~2xuoyp*~NOSeUCgYit$gBMucgj=(8$8-vbihq0VnI z758^x{@;K3HB%7a8Lm@ZZ))?dwlx~n~I5Kb=_@VSI2IbbLJRof02v?$Tf+2 zvquQHE*mRl%A^T_`dFEHv(0zuHEKt^t_=w^_muPAqm;Rb4x4n2vsiL%N)D#1D(1Z8 zu*!6kHYsITzbD^Tb%)2h%r_m{Wxmp(1<69<*_KY;M+yvpV^*%5lG>z`xIfL^u>3$Xl?rXijjRpkRvZ^9iLn>V>3x3F(c_nYAFF-d;aS8jLTv0|CWlpMwq4mk z!X;9RECt&T|2k9oiMAEv$E1tqxGfk*N>4^{BH+4)J;7s#^}sGAtw2_Vv~<$lJBX)r zi_RY7fy;4fWDbL24$~b&*UTN50fJVV7Yz3Zg+Xu`pCKk*=K6ZwIz6vQgsHa zh@E$xPP)TWLK--7JHlnjZdLWg85SbBx>W92dex!6KW7d<=y|Tt6HjN?w^V*X6{;lN z0)@r2Pt*C1WPYT2tWf9n$1=Uj&2%w`{k=QWceS)!S z!pSC@lcn<_qWE%axRwv;y9H}t>Z}8^vW&W>xx(V-1318Scf~H{ACq*G4E^q@F^q}|X4oS>_CSM)# z?o%AgmYE=dWB#{V^#)PS3lw}0-4+fC$%{N2fkP$*9m$?;sZ@DIrE==d$)X>1+Uz9K z-A!!e`b5l_`S4|~s*L@HOVz33Bx zb(pMtN1hqBS7X9B7nbJR~#IAy{d1z+fh zO44D1o~nIlDa^k^_K30c)g!FI74Gy4m&}3h`t(qfJH+tsrKptlOvOWjkJ6hP>UY6< zieKP{tO4KdB%!0ZPz#Lk9%@Xiryz+nIXv(hbjcJqgbQD8ZpKJ@o}!hU(At0%zLE5~ z*D}sm%p_67`c`xrP6CWwc%H;u(v#I!^ibvA&e;;=94d0uJAfO%CMb-sd3mNhJ6$L8 z5=$YLf}VFjJ#|CdQBRPtbkp9^!&7BzS4j#3!?jPS?dhnMvm*N^k+a@>xYOzLgiA?$ zW~0*tPlu~eA7y1lR<`Z?XOAhKc)WZ~E;L;4{*6K|D~a{O9=dwoHO?FjIgzFn8F(h< zw660Tfwd@T26}}Sta}G4GZ(pWqN&9Oc>6gu*;|-2m0r>Io-#~!EuxlEKsib5bl1tg zzm{__4)QFmKxk11ohVxWqCe?N0;}L|TxEsMM@I-0{e{2;(L#ZDeDNq-Lh7|mL7*pV zV2DIXO_4YQ;2x4(*Eolj##_@M9QcTfRhbP-!&S8&QL`$>+om`&CEt;DScpBlJR@XR zBM>X%{v%J9&cW0eo~mCn5|N%hqQ{hs_1AeJ5z0IsX+aaCf(4Q>QV}5ujm&MgSR4hA zgNQ@faR4?EePe?z`nm}fPNUKOm`AHkB@XOJM0L)VwaXZ;Eule1plTgbh5?OMR|4Nd zFqD9DDl+6XED4@-I7~82)%DQ`6$L)+c>{4l@<&MH6eISK5=6GaV^?Pa4ol2NrU)$3 zYa`OlXXvDw3Gxz$twbbk$mLdJN+4zX>*Mgy+ry#AHiA>5$YfWTsI0!pH`I3>@*=I# z3bpbo3G<4=DozwNDOh+TQPon2R_T(~(1vc{Og6sDGP>>1J1b*`cFFOjazHa#gC*%U z3bVS-xTWmAc?k~NkYNJ1xxh|fy6{5n2MNTG*ujIPJet;NQ4rZiZ^=bnRp{7)?sl}P zr{+z1m7+VT1vZB}UYKOXm=G)nyVY>?&ZNU$L+!GtwrJg3uhX(`!&)dT9#jD@D&BBg zFb@!njJF@qq(3N1uF1i*;8iJ2sec_?{{c}|G<~>0y0&2~L}qBFcp_9=ws_)Fp&c3E zIfP%e@qdnFtqhGp#Gmo&66ZxPRz^9Vsw||o#EjWitYVHEivXb#g^Wwujg0SOAP0i; zDQgXuA0t^*D}p_)z&Cxu-0#)rA}crj7vvDkgFqW{ZA^qE8knZv1_bD)-D>#ul@Ij}lNvx#+n%UT?Grug z`*B&P*SNBd0;oyoLJE;gB{sV9hOdIF@(8Dht}ei&KVp)JSHNc;XxWmTfIG1T3Ht0& z$AxV(*j1!@;`Y@&tLS!ARO95JMt%b+)O_m;)xm1$h+j&BUUKOV4f>W&%6^25iOcbd z)vl`HBYA=ib@!;~2bVTDb0fe*gL{kCj~iS78Ler4XldWA0^4^Q&X%^{%?2<@#8AagLLAvYM%G8(ky3jETu)@S>n^ zF@Xu0G^xT%`U);;^r~uAS>`m2cs57h?dz_-5k&sBmBibW5(|bPNd?cl^gJF+LpBjz z>v+}luD~bEk;q6w_^PAdCs^B(x-*1ZLs+8**@|3BxrT6STMqk$Hjv?yCqqHt7 zzCFYOJ>3<~(0XDJnqFmiSwotV5Z?6c&LD1VLyK`PK~qMJ?NACxbgimYr;8I>+aoxc zuE>`SuJ}iC0X3$`f@RiSWv8=Z3xAfY7TkV0^D@6Vv-@U+L*sw{utuH`FEo*faXV7( zro2ld0uv3P29|WecTy=r#NNO_Kz=6zb;julu}viNcfLOm;}d6?5V%@-a&f40>Mc}) zpqLL&CJTe_uSh}A-s!<*2re~vDq^8e8yvqM8x6w9*h&bwOwqIgg@xe~$x?anHQ zpPi{Y_w4FkWJrJxG4jbgPsY+kpCkEc7Eh^AvcQS{=EDZF6*yz7}YEh2e z_6$)Ao^~Z97`fmC?5nYO6wnVjZSh=){Y)c0&WEtg$}T;mxvFMTOxUOlq*Nan9bLEj zF`k>X(7I0Zl30pEyM7cKoEltN;?FyP2hN*jD5NN?@Op?v^G*+_aSDy0i%;#jYB)6Z z|3sxMP(Jf2z(Q$0&`9rODSy}5f*L^miQ2D*a;7$knRm4!o;xPjl(57{6fuqzC!LAh zEEdT{4#7l;k#zUyF_5VQJ^h^DFdwkW7*3E+N26Uh2A-F`K@Xd=Bcm%~x;GW9A3>5( zVhh>>y_CrV#qnPh@w4WbQ-)bE@1%c`F8WYeATTHZHuGXY^@z@dH5+j)S z<5ROCPO0&^T^7zipH8|&P^Sl~wEIQ_`tG_~<>n=0qqyZOdIu=oF{eOTRGjCW_;`Nc z&@>o@CGL4W?Qu-eL|J|f-yRz#wx~*5c&#>A?4N5fo)47=Xxd(IXPqNLgsOx&XwaGD z*B_Xi%KBd-dL&-f4sOxeJ3DQS$VJm*KV24;DACZaFsm@veec+^6}GGwe@Q ztf4uU8QOKOc#2#S%eH-`IV6Am`#)$^o`|NoyW=IH{%C$wr)JH=Gd)(4in; z@Nr1zu~mMhBspGBCb0@SC94ooO@IWJGitqWy`~nTTa1uSEP*@B8Goe0Z1?#-7hj4^ zc5@^8U2^406FR!?&xl1FV?q#UZryYx8dd9xI3V`P(3a6x~O1%s{ z^4`R%sfuP><+uc@8wsc1m`A#D5tD8@>-21%PTH6zX*ODio7@#P+aZ!bqcOKFg&w#` z3HO!GMhwblJMGRUz~Sx>g@Kk-J{j?ABx4MVs+=lJnL1eTWN0qrv&!os4@Rn#_pugd{e(STK@3d!_s?7u9mR zte)Q0!3G!1sD{M5p*TXoKU~Bsohz-(#3)6d%X%-b-0WgI>GGJ}Xx`^YooZj;SBc<$ z?+r7W2*VkLm{*-k=8~y_t_dWhoj$Us?s%1=Xg<~iv>4mZun#6~p_k&*j`G#ir3 zGvnLj|6B)GCq4QF!G~Vj_g&+sM@HvQnvIkgw3h_M)!yrtz_3|;sAQd96D_zkI>O)K z#l9gl72i|ZO^oJn`{pA7#;dF4+rNOqj+ihAExD_T>`_|Zn4pm_Z{(Mdwi9DRTs%}- z99NsFxzWGTQWG1C4le?60STVh+=!D{ETD4uae2LKW=%P4Dls;&yJ{?O&*_34SA3AvP7ggtpN}AF-C;HDA{0x*h%0dtC>en__15%(IShHP!*Q`Hi_E zlF%aUsM~D~P>t~-oht)!)MwuQ9<{Bwc5z4yW>j$fu{f27%nod>u9&vx_6_l>gJ~IXzRarIrYjs>i)k5J z5(TqTs(HanVTbm8WLN248m}eEiyh1gF34ffpqpRe>Y(Ph7PWoXFqINB5&T;vJ}sPWg*GV*J-z`BoT-c-8*n}uWHIn(t&^rj?T2WqL&X|>Bj`aal(5^ zEsNVXWFQ6Od^R=x;CNJ`z`bvJy7F|~I5fe%<>xI3H~>L%UbF^X1cTs3YPf`6zpsXj zR5Ht#nYqsDy(AcM0y}ud)>Kex0#qK@Pa{s34KmD5=mqCCP-{K{hgk}!j_se@HB>k& zg}L#wAN~));-f47N+I&iAng20NbzwpMbk?z!Bhzr-5k6Q5;v0vdZq#mNW5@_uR|R| z@KN+0u>Bl|PRzSeV^r@(%w?qJ3e4>UC-VI;VQ0luMA zzoz8hp)>*^+5%x1VN4?sp)Eur=MEC0b9cIKKJwrJc!07}*7~FJ!_ zMrTZVgE{s?CXpz250$@W^GWa^<^|n0&Ec2!`p{T6`9VZcZsB$Q*t}pE(Z?jMEtL>t znv}L7t0ko~v89@3k}${0#6_c&Tw=CpIhs$Z#@vUZIu(OLU}c&<6Yo+vnNK$$=&C57Co}>*7oin;A2TAKkXz+a6jsZfunI$cJMmrV z`LupC??VJ4F=4~#B_L`Sx>%Lk(|4E?rug<`F=um%&oTQV#E7B|Vi7iGEnqefG|M@i zAPKp}+&P(WzC|=K2OH%-|Jer*RvBG>I^3?CN+;1|^q*u9ZD}}XW>Y5KtC_yeu)|B< z?rpjk8xB{*s*hX73x3>OWCbKOmCuu|HM3Hvi92^wf<}Dld_Wpt@dp~=G$5C`@-nuP5K;svTqFF1YIv=rZ3U`F zo>!E$LwO=H20{pb@sa)jo#8z@rSSrDLEuPT)wu-2^})yCa5rc|Zlum?-?+SCR;xCX zs(9vik_dYeFSewtIt;`6fU`K#@Hi=FdU&qW1Q6_Nc^_;qvu2`b_#gBy1!k&ct0Y?xGM^$LN z$Oxk0bi|i_eE%^Ur<@F{s)4H}`CuIejijgHyx5)~-mFy3|NnE12%TPkBe{Y#h&L^9 z@zimEK;qg`|FW4D67eI~&uCX|(_>K)(1P^3hFT<=!SEt4QidrhpksNVPfW~F$o%7y z<0>SxqB`V5a@ZfX0A)a$zqxq*tL$6a5;kj}=1xuXj*<14wRy&@?Ztf>96us+ zquPvgCa_ejfx&bJM0HP8Qa0+HX_WlItWbEj)i4nMK(-niq2KG|?9n1crwMOj?46GF zW%DLQaSDJ{aoDOTjFYculbnwIPMtHoO6<_qy-LWV>0XHwHr-JNmx?oe61(iYle6`I zSve7zJ4UU_O3YS5RlKlYWG{6H(uZ=#I;S3L$a(IG!n8nrP>9e|j{yV@~(!i4TNJ#eww0F~Yd- zM?4jW7|5dBisCanl^!2Y-4CbJ;hvd}fFM@lgTQVi{f%MwxnH?M?EAZbE&0?Hz-O8j z4k@wbDG8<>vvY|zXk$Xk_ri(pe&wH;h?StDDUHM6Fc3;+JGSf_QGY?Y z!RWkzP2j71F~P(!MPJEsUCj>d=>-|y>#LC1G*-mA>HeN{qm$PnQL%u|nZ{l3p}=aJ z62B^goNW(IcKh*mJbR1;Q!NG*`E-l%;73=O3e&ESJe*NGGtKcyhcMW-Ix-r3a@_kS zL*w=%4<2YxIc;snUeE!VrG#P@+nCOEu!H5FlWD6%qP z2KWYiXe3Z_S?$H2L06u1j-YuyjncUwh^Dmm5iRkka_@r2X||Z+6{BA#t$QN{=BJHm zjn2&`qm7ag8q01h+#8;m<0oOz3ysbj1p?L`1gJxxx<;h6XfimaZ=-1$hm!~h(k+?$ z3C^28Hb4zhOl$ECgX6BNTB3eN3xCi9)_G(KW14@fRYk}j>4=yTrtSsq0FTG=^!E(0 zG%b$=ml6%E8uW+u2yo=F!)7E@Mvy5?SqaMy=kO-od!&R?NFM@jwX2DtHRr zh?ZJj%ABns_|Tdnwd&FlWBr*#yx*7$W?5V?O6*K&a2uXOi>k7Guf$Uc3}!8P;)iW) zPilB5hf9vxqu=uSgUH;F~E(aG?Bi~tA0f6ybNHBMmW=|9(i9@j#4dwsIrV_8nW8O zYE~YXQP<{}6z(p<<)ARpQS0ogq=Sp(7~Uv9HR2@E&HUW-P5V)Fj6Gd8|BMq;5!SU> z(OZMwR0pQD83<|YszY8>tx9HhZe06{FJ^@epxQOpd9hcC)O5>w%B%hDS7)Q{NqUnd zrA4W#7>6&H39lYrZfZjGh1oLRr&Q@>7*KH9us3hG`KY$GS6!?0hlGmRhywuw^SS*- z4Wj@S#O2|?5m0-flK(BsU0AOX!jKZ zze)P1TEPDr!f1o)cxM0NSUt|a+yb~!`YOxZ6V`ZE+& z)40u;h2dxgBZ&p%cOpQEHh;v)FEehFu{UE48T6`KuaBHwJ*uqO^fb_sMLzl|iixma zQhTJrG^r-z%ITWjlgTM25-HPMw$_rEp$y@?7C^#rigjs;HRg-ZO4J}^r=ARhJxi=; ztz)a#IPu-QC;mW1rK=IkiZcfI8&tXwPdrlr>x(pJV#jepd{Z)B%R1+ogq}(?SO3Fw zZDw)>fW+9NO1P;XwdA$(pW2owGa|w;6TTcGCgG_~kT%-~S zIMz?3zI1=vp=oA)mD=mH*yT(OF!^byrVqA?J0$_v)BXL>g9n09$bwWA;R?rvV(zy$ zg2%!m-@mq5eK4;r!F#gSc!l$FT^ZNAmRk7m(!p!YXgQ_VPL(M(WkKWm(F)y+FU29D zZc|mjofKFUH8C@oJFv~fL?r>m0^B96q!Z$BsuxMs_+5Ta$-;oiys1)&F7^NZ#}6LVc>bt5)Rx&CQY<)lDf|g@00mU8zm>$yX>aZ|jdcVK zO%DPP$j3oP8}}dO<-j9Q(TfE%@?u9AsB(2&rnTAo9psO36l&(7H#JUf)|zF57IlPvm-z+BaLb++pEm>>%0Y*f>V>9`wEo{YE6|J0>d?TS>I*a^@=O;r6VWU zM=?lPTHR*_GdX#9S%+WIwK~6HPD44u z7!Z4vGS5sw1zYY_?(}iK(ogML00FSYZXsNmz=q5xu-7*Ud#zTI0L}}^%$qj?7c97}QcMCe z@JbT-LYy3;`{(a@SC+}>SKu8uoKKjW{85Fm$abq#o}~NsTmSRRCV1LSrF-N$=eBv@ zsXM(bvukS5K4EUtv^nV+2S?8`hNyQu1S|RsO5cW9BEj2L(XTYtP#t(JzRXSDcPO4s z#Ruw%3aZJ)yXX{{!BXV%gTz~mLi6{w9~CUWEoIA9XYDwPvObIJ3rk| zxOkUUcO_E9aJ!FR4u8?aM~)Pg1k@2VwZ; zWyvbi91F~6K8Y*&srAU=Wz#IhE(_-TP;{Fq_w(Xi^PhfUJ@4i9-+lPO13AzQ-4}IA z2c4f+nShxf3-WDkNb(r5Auz?yCa=Lf(1~r&7ob!~@q{G^1Vt3G8o~7IjUk~VWp*WL z1zLg8-&7_8UiK+dS*JwEzG&9wtEN}42*?@hk1iGOBLYj&mB;GJ5N+sng;_jO&$v%F zkZUBx1k8YgEuymv4-;QrTwDy>|9qMC5{}+U}W|tq#3kG{W zw63kfI;?R|GXAkKujz2fKNzlIEee`9_!(Cm6I;pOhDK#$Zbju=Z(e|LZF^+`o$zcc z3@zWYh>u7dDh5KxHLNoVniu)%SX>_=F4OtYwIbIFJj<7i<~}vvkZra{u!hBo1{iua zG`uuZdOCVm=vjf!Z1f&u?i^d=u@ow&XI+bJ>q3|wO!PyGSxEz%P*%8d88C&0=ygml zV5UEyw(O!w$$hKBVZ`IY?n`_bIwUDAKwR{8jd`(1kF*dylmx+{+ZT@n=F51*R7kWI zrLD2UR#rt^3~FqVlU%|ppi8#-1LF+n`K9b3UL`{_|Gsf%T` z+~TiHmG-6U%qSmmVjSbY?=$QvW$F-9qLb`R^6pX1H9Cw)1drJZTlOSbxFi{BvL%7j z6;b8EvZsr)hP)T}QY9)hW*okR9{J%Qx&`K7gd(jLj9*XcI#sDr1#u87m-3 zm&7k|lFEmISb+&<5DO#bUt%ISmnp2Bmn=WPuIq&}+nfaBp*h+>aC@uv@RBaEq}anM zR)5-m$wFCx6O8*tF`+@^TjQ*ZX?jSx&)X?!rx=sS*YsMhNQof6J2k$|e)~)|?!AOV z;@i&1I+`OSfz1SW`&>~rFLXW--VaU2wkEx92%*RQ9L1pMI`KepRHxmgs56U<6a{xe zF91UUhAul!g5~tX#O>++%a6Pmlo|DjM-yW9V>(7H=!T_1mJ*w}6B4HVjVwnBn!3oD zqCaQ);iXG3CL94=PBjiPgQeQ8nUxA?TG8-dub4UsGK9#s0xQgoUZ;KeI2qu&Tw{TO zFw>_XYE6)}R7s{M_e>e&0PKaw_^Kkn8Y4u@6VgNi3snUtkVHF@2fjGYyNvbvIWy7a zLPKzr=|8r^4D7Ag7W0QfP+v1P*oln|`G~!;8O&(mKGoP*5xQtLg6efLMZPWZ{dg+Z zEwQ#l%bC+Ycv@@#Cv!BKRb64(H(ho!pv~ddsq#WWjMC^p)HQTnatsQb)_hJpcY=H6 z8%)e7+H;BPCuV#BPUJE3ZLM;8DinIik?JOzXft$_6Enh#IX?3c)r~N=61Y0wIe0(U zcq(Y=-pN%hfRy;9Z6-x^(|EEuAXPRoR+-?pbp;OE$%aVS$F|NF9XEf_k6U41N*9O4 za9pOWxne{&`M1*!+B1N+Km3^o4+g#7g0j4Dh4L2$g|bus(Zy&HmUFv))YVo)ntYGXm?}Fnem}+Mm)r zDSn22s7u`~+z)&Bd|E)Sgb_{Xw(=C}4v4-z+iiIYPFum1MmUaX*@lVGcE@wyDW_vF zwcy5$_<7nJE9#bh8Z9T*@Hf+LfTOt6Oy2?aMM|juK8rGO4ZCYHKETPD|*<0rQP4YK72u!hlkef59<8(j~=Nntv&v}%6IzHI^XZx{_opAZTi0p2xm;) zhQEz%Msu+Bqc8vHH-7Xx=8wMdqc8sG4gC3UmL|d^m{-0vi#6&vtyZ0 ze)w(t`Nr^L!2~4}nqR`7U(vtT5Px49fBelK{qCgd4lnDh?i(|@CqI4ZM}MGyNEeH= zHL~TBfU%VNXc1%xWNED`s#TT*eqdB9WFfAq{saM_&HE1`5sV-5vK=cu#@~&!((Mg0 z(jC(`W{UcT`nL_qk}JsaI;A1~_Uq$EMSAj)#D|YUe*AR%I^k&rz;kE4^SvK_=7*np z=P%y*?mORm=iBD)i2m$uzh%Ai$M5_Je);q}-@>oog>18KZ{I-eAATC2zk~1p%xvr1 zZ?!qTLCH_Q^M^nDl=?PnZ(pzZ{m;Mit#|(Y4}V_1J>0&rKd3LiOM*Xq4b7neG)Yq- z&fpaq#kYU>&cDO|eHWGf(nL?M(iS~cNm@$l$!lMJ^4f1adF_9E^4jk`dF_kl?xib^ z=*erpBVT+2-#vNlOY+~}L@BeX-+n#CoaQL{jax6-~kroezip?swk(=3oE(yRY+K z>ZF)*=iRU2oA12)=YRbR@BSHn`O3R*;J0H|?>g?-Ru}l%Uw?Z3bGGY${tMJSEwJ2H zlM;XQ?l<54(|5l*`JLXK{jX>l^}mAO-Y~nGss409e!)UGG)x*xi#0v(woktQb+g<) z`QEo$tPPsF{a&g+TNmZ#_V5rq$gjr|H~hpd{e&l+WzD#Y@zOy z(39_d^=LHJ9ukC=K2BFw-jsPRk6Ma@0jYPvY`1b(FnT!O<5R;C8|j{@0hZR2U;f&Y z&wc61=l{g~t1oZ6mG$IvfAr*+e;2L&{_S^fzgw9XC63%feEnNbe)(Ja$9=l%f5#8s zc=AiHKl%J`;E{Rqxo+gLN|Nr_}r`<9;)s~Us+qXV-(i2qp?)$&?-Z$R+i+LsKQ@zMf zD}4L?Uw!{G?|7Ti%zE!T?|*LidR6t`zKKu6*G;Cs{+rLf|BG1s?+(8#x9PUlKfeD1eEEmNPlvR8 z)KmM)d*AunU%>|bMFMDNTWh2&1#tEROzGp~cpl0v1eUMvZj2qlcxvf8yYrd%zVWxe zW**a>iHc=K;RHU7{LA6ozNH=pGY#^0!K8-9HM2Y>U~zxjdwh3Ka} zIXwgrWlpEm8cC}X#tu9im=Oz8`}V)d_U47T>%cIsy6LCp_7A2X!4K5a&xhMTD3`MW z-!A(<`StC$^(W(Be|SKHRItt?5~PU!3&LnDyP6pA3Kx=)(%>){*3<3Y`c0yii)X!p zHgu9G64aRtTs|}KHF;L1#wO2Jb>20mq(qb&_E00XRai;`rf`!QkBEehEAy={_T_)V=*W*s`lSFRQEktuH8-c?}kcUJG&|L+cpOJ;E%7Z?Gt26lO|bto!qH(|1uu-fil)I?rcPXB zG?**;O){P6nUT17cRF(ke(rSw`WeguhaMIgsgZ9;AYWOl!b*2_CE|4N=fP}cWy%~d7gt0bqZEFi?z_ksB(-Ncm8>YN)k1t{Xj9dW zArz<2wyG#8Ll4iPfJm-z(NxzBxVDOV*-lW}(mwefBXF_L*w!_TzqI&3j-#PK@<}YQ z<8o_fVJ}tUFx@E87-Gmqu-)5qf5=wKIa?H%C9jWqq0*Z+lysjlVv`?qnTJ*?A!66* zhUtWh1v6W2sFgfcUAYl6Iin~T2g3I7OD2|O%z)sQVvKE9G%1m!#PvEOGAV|gwajLm zsa*7uZXJ&x=62@yLu{#RwO1eq8RiW8fgmpUR5C9_%Nljp(i_|O&wg4EMt6{YoJ*pY z$I(M;gxT>gi8KEY&zgAy1SN5bjC6OLBWRP&i4GY)+QUJ4mu}3E-S94K)0w{g*Ng$GtQULMh@9DE zhpoA($oe>!u|0hXHg$I(9`GS=t3onGKwK#Dl@VBn^gxeux&vgq3**_fhFQdRH$r;E zZ&NUX>vhVTHkv*j5nYGUhKsW?BI`(lW=U8{obYUZFUOu$93_c~nA|CPk$!C9lG#?> zA_Z%N{a(uh;>=&0lLsVGzT|XwVQ(+vaBO9U3t&q2K3<*6+c#E>yTl4$G?0GKH-Gw& z<8`2G5nWJjcuTICteN>c^4mAsx|7Gko%YI+cR788hxYdMBHc*hP+qd16!(jU2k7Kk zE*ZDND-f$l1T~EJ&THuouD+C*cn9KA!(iL4&eJuEhm&RU2urC#w6aG0$S~Z0`C*;P zN}R6gC9dtdjn(JX0AEfIXXVe2y^Vd*feSUeW@YMV(T9dZKOlNttlJ(4UatPe;#b$H zxJGI^K^$U;29`U+?Td?3xo$z4o7d!{P~g5Jjv^tOk{~oZt7LMxYFX_omEM@hPnk|6 zqI|>~%L_x-_OacUbdxiiBW|C4b3(q%TDtGhJ)8-f*hkCr<0K5Q->*fOqA$uxts0V0 zj>`~Z2t4d~`Zm&6hW>)eL;Z9R`$N~NbS0_{H;U{e#0kK&bl}s9{%`6Or;;uX{Df6y z?zsC#=VB`C0H+~){FqO8waAN;R%yl~wGEk&Fo+W$2LUfFcPUc=msL@1_>j%3oomdC z!Z7BsSY>!q@qkMgchw%t2j-(Zo~?xuy0KC8Ze0UPw2HX3w4%62{^l)Kt=EkTPh55f zIwSd(Z*@&!9>CVb;(l~S&%aB-A+#su<`>@N z7hHG4PzY&2XIQG6mx6fZTTDEG2c2#mu60r%kR*ZxCAKdk{N)=uYrN!)-!7JfoR<>G zWgvV4?lH3H88g%Cvu4p3#J&_v=*aReBV1W&aoDEP9dITg`*6uB_2X2MrEq9G^Kf2^J4YT>`JDSyR}xRq>RT0>~1KH`9Ek&J+98VVtROFL@>u zAzaf@Izqpfm(AvMed&8A9$1Vq24^lY$W&`&C58Ock%{#sGk4}Xy{d5=-Pd+x6%6?* zQZi3BkRMN)b?3u6DSSe9@iPw|(9;vlaBg1V;kzOyRG137${KvU-sJCx5!*x1N-qRJ>-~M%R}&aC?eyt}6anKo%(`YM zD4j`*(?4}d`|gMHZf_KZ^(dy`K5!~&heD95ay5pb0>7NW6l#hz`iDt(tnr_$>lYXkN@B3R7pZ#@*nZ8Gx&fQajF4I~=e{MVY0ckinoN$crD}>prRkQtCq} z71~rj5WLAB2~DQNofh%#uChj}&5O4G-W!LYHt5wjnyYcDt|l!^E1ujy|J6r+D*1-a zr5h4VdTWI{4m+r(rw7AXh?ZC9i_~K9Oi6!Q!V=`!8MqfPyVNt%$p|+*o~lj8kd~1I zO)W)*{+Ps5k;w5gm@uyGQVHowTpV29WhFkLlb)ojbZ;)e4TC?LWTlz(At1VS zNYyfNpB^zA&6EJ6GrBF^5;CcGw70oTYHA7ZEN$wyvt2 zwWbY@6$dByV5}DtG(Q2u+T=vKXGku&r8QGxOL`I63==e^5%S1R1V7)l7CB*#2umW+ zFSDJ19mYW5dRJZ3`$~tI>*-1;NeHmMGs#u-tcCAk)%qhm9r}YUn9`5dLBbwmcK%zUj$Hhxib?ZUAX$teNyRCpIN8ZH+Lfg(<1rFs#5& z5(hHUq{*CuOX1%P5qB4*a|_gnRL&ND?a)mia1Dpr z?<*>VABDG($csYbzxn7-F-Hax*=;QqtpL$vchUk zH+6a=iM}*;Lr*|5w9BJOHBVkF(!9O1w9_duKW?6^w6dbPla+Gh0R=Nzr%E(N53*{y zR43C@94Ds$1YAj310FgPQ60RTnYU)TEv+?n>0|U@$;~r6143my0{*2FN>&>mI|foZ zks-^Q+>|_7lb*~6gVCMtq8<@o>|Pujul^?w9@JvL5Cy~Vx)aZ`!gjclr(VJYrNJQ$ zS5Y;M!s$(f->xe(x=)uYN!81%O*H%F1x`tsGt<^XNXJWJm#nMDCXaORDsw@Bt6}Kj z%jV?0f7zTFASR6|nO`!`t@8Bd{&uKl)lE>_a+Ph;Mu0Z12ylDafTU-W286v3>;9TP z5R$mfyx6CYaCx>zP1_x4H^&t=w?^<#lHGM$D9rF40LZw`%aORFcs~s_wX4jFLsx?3 z?fWg6N$pp0tY(LTH*~}zQ2ixljC9eNt8Kc-$A;*>X=eMpmiA=c1Q%PHTY=H8sNutG-B>NBZbinW zW+eIHkZv;Fp3VE&eHA-Ec8u)WgVUCP&&s=&#vr63v4y_&HGu063)RLVJF`*Ugc{jHVkS!@OykQI| zb1d#u1MA|*t8GV+E@4Th+cEZE;1o$i?$8j^H!E;KJ|xecNv4Rl{8x$NFh(ScDfC!Q zmW|Bbs@kj8oUt`DgT5C6M)K6QD7|(}Sj?Am%@MYDLiv&YPz`Klj0W0cX*-gFN>`^5QRD{$hxI5gCz zJ8)rjEi8VI(Uw0l@~e~nqQ_BA=WDWK2P?)@AQw266y10k1RN*Q#d=e zV4T2)q1^XBXvDZsP2hm1DwmcdE0P4s`BJo{cN+ zkI0CllKt#y^6p%N;{fLT3no1H0R2~**J0-GcH9@v1q}Fe?k1(bT?qm>w!6MH&p$*= zmyNx`Xnral>yElGNjme)g;ly?yhcY85-pu^&&|3cMIeNC_E8v zu_iMGg?ldoeq&u#be^J^<;1ovyflOJOCnT4>{|0Fk{>&LE2Nc3}FCsa+n^ z;9IuxI3mC|`&Ze3^DK4UeeUp-R|;=*3kgQYe8d0LmiZNZt! ztE^lw?~a~@#=J25uU@7dl{<-Rg|RVzjQny++a)t|m-IHhQY%a^QR{$-tZ|#D%EWt< zJwo(q)jRJD3Hs7*=qh%!#y`&u%{f!~zy0Wg2ZB6~Nf%72=K>)$XhoGA*DZePz)gdN ztBZ&HvFQl2jHw_HnRcf>MV;)wJ_m;B-Anuw*pg0a5TgZ)@u?t}v)@jDF2j49+f>9P zsFqnGIR8oAOp*(w zhtgBj#Iu#j2(ofZ4OjUBh?ts^qdPWXP=goUv${`?qNKLWgkx0G|Kbxj1z}R8a~iei zL;J?#d|3(Mv}% z!!gziVsdFP7{ceH0-kf%!}D3IEyEYH6%+#9#&ykyg$l!?N$>1N)o~J=txSy%6Anh# zi!JVlR8Zv>i@sun%h{qCCY{Rd7ERBD;Mu2L%~UDO>Ovpp@Fg&j5UbEbq2IGJgTI4g z6s;AwD#5u)sZ=AF%k&Y$Nf3UB)63x4te94|jbcM&wi|-tt;jEd3w|j;y?`z5(+xOR zk>4imEs0q6Nc@L3Re5v!dVx*HetNd_b2NLrZ1yfCj!~l_PxPd;g0>B6xM)XKYlUsZ zq$Nj{-D^B%sMcChi2H<~Y+zK@Yq1J&Y@TC3ZC3s_a4&muEqM5FQ6A_Cq_!d$#;mQ$ z8Xao-eu;DC@LgYKoiQ4BT0*`tgr<3&O6nT&xW4UxV|L@jay%!dcVd({e4NGF*muG5 zn33FN%6G>JAucB&?%HOTgPUr{Qf?B)U>W#(gv}b;v7=iAe{_Qx#>R7riSF1AevgvK z)xWDW8w=)E_S^(S&>%|1vunvF$Q`!>5?PaV*=V@x#E$RxW;w1+GLXs#muea z`iYhJF&gxu#GqNVo)igH5!Z^r;Gswm>OK(z2@L7BrvBKCLmQ*=t;9pKo|A;e4p%-H zepwsW<#Oe^&1ghD!{PS^nf@0y7Sbsd+;@VFvWosdF|00?@-h*B|e zxmZK``WJ0=Fg^PrZ#7LIuo6K_)c+HNK&C}xj-Yb6xK4GY;Gu36|MP6A>Pt!NJ5|fp z4NHRJhTgZjo4CUSU6I&>=%?yy%nz<(Y=3slwM9?nY^B}zvDm%gC_sDh3FmQ*u!L(s~vgZvu-q5lKkvVqp|4hT!CnTIw zb}$!#Gp+5qli$O{LC?LuZvR`%-vZ2G!t{Aleqv}D5{VfkF=l$K?a$^iG95;?O=>68 z-@^ng#6#U=(y|?drW<*)y3x>bz?MU`&ixuY17+VNTx-NJ_3TPG`O)?hlt#BSvj3!2 zTnwOzx$@1!2t0`fL)3Gyyb&`Q_UC@qpkpSHJvQi07eB&8M4>&@bSH}&qZY2kv8Lk; z!;DxL6U-cb7yTtOZ53P0OZ-Wz(}fRx&vdz^=7wk0s*i>Bqe-j7PB&sw_AyVPH?$g0 zTE*jG#sPXXrcj%2d1LwdwFGz+j>%(N&Y#dWNR&VH~5+!=y<(ceqCSdeO8=9B-RPeD2Dj+jO~$uy37M z&yYJk4Ib7jD* z>fE=ZZ`6%Z#JBZw4#$BL6a+X({-ok~15*)_g5{vA1~n15A#fwQq06I-EgOZLhyau5 zK^Q8+!B^zug@JkYuDdbUil$>uyG>T|nP-A$Rw6r{9R(Djn)k3LHxApsYV!jH=HbxW?9 zShl9zNOaL~E@qb?0^Mgn3FM!SEGT&Akdf9%aC~)Mo44+vd%=;iGzE7L!H!RjI{z@U(h|xB+|*f%|`QP zA=&;52}T2c|rzx@FeY)@rKAsNYjGg>6fD&`hc z12|H5tE0Ik{_{$p-09{|($ix_Oen^gR8*|^LXEmyQ*4XS0_nCBb*okM9 zv-kVy@OCH)6s+s{zP!$sCe@VKfZ)h!AetK@&XP=o;!3HG!I<;*JwF&BZ@<9u%M!&x zzu#R4<^fVJkCJzCM=#Eqp`Wezkr?`&NJqPNjkY!1--OE@MzpI+4#OR1lvn2NDAI~A z-dLXdyjwX|PDD9g+7)xx4(;jwv@PA>2fHed64N zt5?(aWm9_Oa+WovpSF7X>F%9zY%6clJl(3K4$oTEcm$BOK&SI^Rjdq#aTwpi+*5betT(JGS7XBN?oXZI$gSa)ZxoR(aKw6~@UY zP|~r_S7}Mve+f1qZO^yb$O>Zb;V!E7&oNXb-frj)_lR&w&zjrK(u}-Ul_|8W#0SMw zUTM$2qDo*?HaN+L{9LU%uhPAO4rHZd52xhG+d*ZY%<92+>HfyA#LR`GWon!2kgnG% zTvWs)TYJd^R240Gr3MXVt#QD(@@{YDx#@;DBw-}!eFHpdy9Iy zFN$r?%3cQdmS&nF&zqLMw=4rDCCAL&8s4RMrTcBhGy1%=gIRC9`+MV~@BT^O?=8z* zQo&Ql`Cs-ZQo{C%%132Y6}HlFbi`*`FUitIfxTRsO?T7nay+xiWoSc?J!~y6dMTjH zW4IcWW4~O2@lH3}yLD{WQFY>%Z1>VQ+Lp$8)QTbR+P{m0z(WUEpLxt$l_ly817(491aLD>hm5?g5zKS0~3Nu2@_wVu=^1*Xd z7<0MSUDFVqQH|q>$7q{MogfPPI)Q!ZCPr)#xStwqF(nxS}#W?ObpfI%BouGDwX7^k*JCCPpNC+2 zE(j^g$QAz~VYe78jX_!w1W6ULs1Rb+#XJy9gi25T%J zIpCE@cMP)_oL@Dqh}>};sL6_BD-NvyvYqOa+98q1i;7meO&P+~g5S7MF>X}&a|z|; z^SK5NXWaGZZXi3syR(9hQ4kU|uL(GlLEgQVjo>7{>=x&t;73Iv9Zcvhao>~+cSwi& z-MDtX^hP}5In!Xw5?dw9b1nZ)Z)B?&EkkpO35XfWOZ<;MPyGb3NR+6_#!O?rec!&f zOBA^44iE5V)+HwiNhjo@*&er2K%dO}ht>o0)T!h~yWo~@h|8sjNno?1h+&8!(-%Ia zQ&A8VnbVRCJRJjq z`)T~IcrbBMNv3-0lBu1bkCv#QF;b>+p=U8aKGZH`1P9Qn>W0vXb!JuTb-v8g!o1EF z!~-&%gpkFu@a8&O;F{dylI?IiNHTWFsDJ-wU;VoueD){*?$>_u=5PGu*FTRd(IU@O zm&~cXPtTAHNlC*0_Dq(p^pGG&=l(762FxG-{u@93?LYd5@BYD0Ui%EQLoTbP?e^Kd z6dh4plj5VUw3fB_NP{AC=8#GJ$*;clkKcdo$DjG!KYsq#=#Zg1n2Lw)U3#Ld<+i3$ zyO1=Z)V-_X=0AS<=YR6`FZ}q=zxm^@e{nL}`-pjF+HH7$#QejmJ7O(KEXqIr)>nS~ z=AZukFa5S3`BJef+%EW#fK$V{xaP|a zu@_?JL00y&zyITJ|LKpv{o8;4Ctv)#KmP*$_=m55_0FE@N&gogeei&f`3Zo8!XsAj zZ8T60a_^vToaW-xx=Lj|G<>pxI*sF~_*|xCy2>*!404^BRcp~+v+i(;GK?9WzY>d> z9Co5!5_i*aBf{=+*kWX~eDHtXKtHg0S@=Lj234^NVTQTkz>!m>HK7c4cMKrVAggX{ z(~E3uA+QbKA6ke8eY8XXGtu5!HIi6+y38)BD?!j6T2V%u#$@ijlqrP8y-a{02KvE3 zKe2kSA#>Z+RAJy2QTIEih#JGL?Iz^w#n|^Kv7-s?2)DE0hXZZrBd`U2lsIl#<`&)?Y(3!LVW;iecXKcYcI|g|qF@Oz0 z(`EH)PI*S(F)9&kAW_P4+(|1XYpt?1 z4n0+^EjR+|PkN_eh>WrL4AX6zX1Ye*ee>da3qV$MeR47B4uVE{q|P9-xStk+#bF(~ zdevnR4#jsc?hy%6=KWmtnQvKEDdPK6hYBuzT4PIbWkpBbQY%ih7=v|{*PEP{De)4F zZ3`TY_;J&Rk(BR@PXf)w9b4)Cl<7zef-W|~E>lj`*bp4=HQ|SFe`b<}bDytPMK+0t z?kiIf=ttTV*z9xS=?)FcsBm9zs**(`=0RtcaiYOz2TA;9?F2Mpu!9+!4-NS>B$INc z@C+%(QBl!Y+ONf8*iyAWT8l+)`PaFz=j)oAJEB+a#7UIcr<}u(=@xuQlDOeNVbTS~ zNQ*V3#i|b>!y$>CONTxw5IJ!#1`vZ)X)J@WPaiWtpK9V5g6Ji!+ktZl=`Z;IsC&C! zX_o9v=ybPjm=s(NHwY=ERJ-4oK3$#PA4kj&;DTG=HmfSDDtBd7*2%2g`_yJG?9oWZ z5=J0Knh(T>F^t`odW7A`jI0?A;+^3VX^^-E7?I+Obxwh*%M^B4Vv)t?1^7a*VEW)@T=}2j>UB6KR&P z-Sot#JNJsO&0$Ku*(%Z^z@&8k2W+ttfY#l>sL1#u_hbWC@ccN1@JGlW>`I?HiM|v- zV?ig@z*7W$BIvI`_6qXuwPo5vK{KdJ&zJuK`Oo|w%1`wvL)SI?nv-3B$48?;N=-EK zedw$QzVeP-=l=!PZ=th!tyC^G{nnq2+IPJn8N%Q8PFTH-i%3|_VpU-f0I*@s%_h@UgZ zfC*dG&wERCMBy9;!sp)}Hf9nOi=$I_k`?i8be0{KI5pJZrb~q~rjf{-K_`_nbuQng zk<*md=La1cEPfB22CK|a-gkaDwq5;3CvQnfRlchxLh76aF^{e4HJj*eJWct)cP_1T zz(OlzyktR^S1+cW_jQIsB70j*)PIqwUVRri62SeYRwS_VhID@{LT(#)5 z$XucoPh)(Wtj^VmRg1p^0r*q|#r5i*>#tPAp>oS5Sl^ks>(f;l(nJou9jyS(jKQzx zn(;s#6OMFc&-J@YGQ6j{;VgEB%HV+1;3E!ZYspZ= zN5Cfyt)#tZHM5A@n^?Xvb| zZ)_+Qva7d2H|^c_dvt+mG?T>UlCrPFSk1f(JN;MP9gZ}em^poQ-$a#F=gPP}jr*kC ziZw$l)T=ym5}J=V{B{C)iJ#wtt#xXTmEFn)L+C!WhEHMh$=O%AlQ3vR9Tm(K3HF@s zM6;G`hRu;t-r^QyoMnF1Rdz+ggn7`B-b7T+T28FBv~Uu!N$K05aiM0)_E1Yqq^I3( zE)c5(?M`S)uIbyvxY!9uOPPgt<7#->Z3hGJ@|{HH`+lgK>y7yZ2|KwbzWQ=Z#z|#> zs#2RW$Gb>q#@r8+MfIvdtG+~CLv>-s7Roh0XybZ7-h^ul{-fJ})l=pK ze@X)GuIfQnzKUnxx#d#-!QEX;_v8P^L_}m*kesmE_M7%nv#_|)GaGU}BjX+A9ijTN zI=_}PLg)9{nH`T*>RJoaVM7?fRwY3Z_h7YaG3TDT@0Hz+_wfBk^L#4jgd9IISYh%? zlBI>mF9P+Yxe*j)l&ON#Cmj~)@ZsZd9PnfkNa@HcFYDIzLmWU8e(Uqw*sFKUe#V^O zM{d6Oy>t7fsxIO+tHQ{!OmNvc-?Udsdm&J5_(jAl7Oa8{v(&q+!8Y}SwTLd2<6GkJ zkGIBiF{3X+0=BYXY_Z6>3?d6g`S6_6rcJ3EaN*Y zcGQvcVP&0-As=TXNd{ z>5u=`pZtTr{?kAH_xJ>68b!xH%(g+t^-~5WQWU^CtG^WMzNI%G-BL{Jcm;rF|LNcO zjX(Q${`OCQ@89?0Vrmt0AywT*VcV!Hk9y;7tLLg|FGgt9UAJ-&XCMy5Y4HB+ul&KE z{{DaZ(;xqB_P-iItR81UtWf>b4uUg&IJ#Q4-~DHKA)p!~t}b*ct~#AF1sV?P*y{#< zryx~J^(VK)F>8yR&y~D@Ugt|^L4Hk{<>urYX@2y-USJ#!|K zE=tm<@T!h!>R%7_O;?99$0L;Esv z`^pTA1U)=&%Ntrs1TT>X=OFCY<$5a)&g>Pef6le;hKq>Uc^elTYp}B$SLA7$;!j8F z_?ZoOf-N*Cmvq+2ik`9MNZ!YNdx27$zYBvr2+%v|IjkAz++nYqc_k7IsL{@oOC$8y zA5OK)8qgDZOyVNW6SU_@APHtLrOK$rZiX#-gw5T%>%;I2x`U?53qRq7aaW=rH0fE7 zNxd!UImj_k;-GVNQ?Y7?vVc)}WSCeFSahfIGIX`5)u{v(We}C|lQhSQPpp{ppaz1~ z=sKCC6@P?&<8TQLKizaiK@l>}os%2mtGk<(VKi%0g{s$_x1~s;s*0jmkTb4WYP9Y` z^Bdyeqed+7)d_VS%k$Z^Co57MrPN&LbZa=?qL@6OcJ7fk6Q~^qU^8gp!kjn6IEzAi zhTiDbxmG!6QAaP`z&Ays$(R5*j-ovnzB4A?zJ1~NQ?PxzhAmIO+>0DDP7p{jP~D}w zF;2Md9C;%PeYCoA)7ErLv9@!C>}_d_E~)ve^-ghA64 zr5NRyZ#+!>ZL!>3PF##QBe)K^Y^-6bhB}V0-&`hbtA&PIbSsYo$6R;es8XRHM@8tV zCOp%DOEiZvvP(OUVL14!Ug;9XVKTg;I%;`fN6Hk_1WDRz98 zG63_Ym9grX7Sr9V(mHO#V@`AYVD;MDzl!M1<}8x|MVKs1N9o%F?5E4mt;FiHci zW6#*%v055Ek(rA{aL?ri0}e6pyBa!07z9ZaK}$q=)Y(zZCQUtluT~9gq-Uzzeq7TC z^{8= z>0u31;>nb!ejqvv50}ik?NW!X2Wh=t|EV@TmCI%#Rl~lJDb0=$t<^KyEM8mD=POn( zEPI`y!g;drVYkwUZ!7-ry{7xuzw_B=I&!kFv6N`X0NSXNOTe8cfU~RCoqEI7Z^Sy3 z)MQZhuxVmn4bq&h^AbYqi^JVW7#hM*LrO}>nV~C)S0kAtmUK`R2+|IGO$${7h2oqNpDG6@I6&xMWo8qFd7L7)Ehq_3<85$rQ?K` zvWAc~c|;i7-II)5G+~%y>sN%qf-tcMBs6fhV~tT5c~Sa^5Z%Mff%R28+08{&ZOk4J zhWWf?zWVrw)*M^dY^s(Ui? zCvWlCpa{8(oZAOv>JK_Wt}46z^!Ml~y=}YQ0|M)>W7b+l#~jprtA0Ra{xnixUvwaF z`JgPn_Vi;Ii|y+j4t7=D-3C{Jl`XFJCzjLgAX$Z_TAYF(R5AW-*;ypSLMgs2Tc&F| z?}uvmink%hlQ(|U@07gfcb@BQ`^=OAfq&HH*4;n+tz%0hT837rGkNz~$9nVCHCJvi}utXJ$k%@a)iu*IY?KE(5G=lLFKb)jRs+H z*68ZN5=#|T-+E28hPq6drW~9Gt6rsdu9ery10Ca~r>_?tB?of&7VB=8aI;A zH=^Ghi1{#1$DPhgRql2*x=FzV)|(?QnH(MY!0eHjGX|3aXZeHR__d-0?&q*!RKijH zP7dRz>KzWkmhcJnoEEck*EUB(22(_nX>7J07R**6Ni8Dtl_m;CB8CSwD*vW4mFMlV z@o<@PPK_atC?6I>{<|S4m_rnq97r&}LdYASB`(54$KhOc<it5KP(GT10K{)V2=8E6E>9@pZ{89pO!D;*&MH%%d7#&%-9b=FYb+EYK1gorZO|FSSqf@8n9!m`5-&0N>h z@4U&SM|3R5Bhv{R954n?{iONE_ux1nvYn}Ii?xJVQ}`3du@J>jS(uvM-X7Y94LAQr zKFoBOpc&B=rw-VPmxL4?e~Yq=z&3ea_~|GS)_me2h|KoyL74KvIKx>!@ki;D5Ly;u z;lQX%(=;lwzzF!nH>HN7IQPwFZq@YC3*g8Kpe@=Ouh=G43K z7v{1;y}a7V)BrpkhBN<KEgBQ_bH0p!7ChqFj z$_XW$m#b@j?^-_m9HGauIwZdDJ7H$L++prq6fNWYs)m@jq@F(M zB-Pjrn+hwrmy?6<;K)W&qCU~dU05jC2BFu#t|ePbf2q$~zOiPCRt^Y|VS=n9R7!d7 zs#7b}=6BvrS47UaRyQm-M=$qluOM8kfTq0yr& zhm*v$4qySpJ1zvA-dAdXtdBYZQ{J$9KH49TAP zOz3zfgE&%hq$<3_qTQ&dXw{PO16nL8qh5Hy?_m*@n)Mk}qxq2Qn5vOH${dkv!w_qWxHQz_XDYGcGpPv>$A{R& zcj$Ef13F$jSDWk5d*f&2nJTpN7BcKj{B0v4hN*ri=VbXqvcLS7&(&8~7g|`U^a(Ua zN4klZYl_X7(x>Jj(`&UkoY6n~n`+|@y|C-rlMCa9x7ti!cj1+6ive~1V=T0uffE}Y z(s;yhB~toB)n7k)t@^bRBRqly9OeVvM?QliM-@*xHokvmTF;<5@238Pv%&e&KdyLan zAl`+FF+C0G)l9T2$-T5!5EJ~B8HvrSF++Hon>*~Ao3}&^eXAZx_ZO`S@nZ0b6)YMC zUZ6A-mfl*W1jBBUUoKxmrQQwCTGTtjOINj<&2Xu! zt%U6L0^rdNYi1F}Z@-EmZ#YIXrst}~A-co*Hp;$~g~?F6nxEB$jnfSW{I{t(sLlKG zUkMD!D3~jj&~v+QiOu%7gT|uY{`O~|i7$&lON_s{>II>s`pRF%-}GPj7!I>nRt8Dh za;lnj%Qy=hHlP|Ga{nXmWsh}3gou0Zr^Ger!&%}mltv8FASHdk zcyDh1yu}1d0`=w@R_`4#B03oD8PAz>9z+o9H*_f_CIbWQ8TfB*H#n`ZA253VMN%+e zD?_g^^+674QkxT_rJ!cS@`2&ElHmU!{D|J9$-T#EK_n^)?kCKkSeHtyFb<1!!A$AE z)I){Prl38PFPt8P5nI8K5`Im2tdw9l9H&cO>KfSU?LZpED0?DQbnQ*#W!nRMM?@q6 z%BvV#te9quRhcpU*0;yIG�K+9~d&V+=bZ;k8c0;J&8hrTRT#v1!~mz~deE0f2G z_Ls{u{NImVRhGxK+)+W1a&N`US^8`83$Mi- zVy0J^z@AWgkPg~HVa4`xbXCMlBqZDh-MTApTsys^lPpBVyJ5-N`YZ9Z!*rm zne*%ag340Q&`nz4*b(_DQlDUc$j4ZH3eKugXI^Px9zbh8Qw

      g~N+Z|sVKLAJ{}2gpud=BTvo-B32z zoa2W`h4F(QzfZ8drAa?zly4hlFZ+>Zq38i*%x~!9zo#7_Er|$S6PM>HA0SqODvO&r|iWTi+BIdb-Xd;1@ljp473(>F?OB6H0yUD5*ZR}}YlCx_y5&>HI)A1e$^o-Lui@FdClj}XPXk=7X1YDb!^;p? zA_EA12yp4CcO51;mM}=V`{9QVO{O^vxM#Ql4~TqbJk_>CSvwp$3uSS&xd>*6KIUy( z>&KkT?>!mJiniZWH48p7s;*B*phzP4dwXosT!2D$x~uis0?NHQf&#SJ(@tQkj`bGq zQ!uHA)U?B7&YnYe1W1Zi)4V93ar{tM3?zo@LTqtLV0aW7bMU^Llu6ostxWbgx=}Fg zlFvB^)h%8i$mlqo8|&E74*T++qK`Tk8r=65Y%+wew)YXBlGqe*kGxV|@SA1#myK?^ zM|h@)h@r}_XQcRI~Y)%TX(AG6J8v)f-+u#+UoEa&?QmBB@sr89QhLBvC`0V38J zP+V*Hl4M1J1G2jx-LGspiO0ekOW0==gf__TX>0mZi+_XT@<%3REGd0T876j2yOb~q zT~3MXE=kGjv_Hy>eV5%MY?o8w_avobN=F!I5GQsNBWVyy(jYWR+wA~L>5-$>B;~9BL=!4uSv{|1na3vDoq;yT;*#5fIa+(w3z(ITPYf`ow zP1+NN4y!0OwTw+I%>`DkcarGi1~d*lnwHLe%aE1 zLg{kE89TA>2VB+A=HBrW4jo-2q|QmGTWB3}Jo=4(do>z~E@=|eLrf{1#7mGe0B{RhBPpY?H9;6bKVIbXm<%v4 zp*6zIZkml4Y-o`56d)Kw-knG#q)53bbjN19q@aj0_#QVqq`@qTbb9@;(+~9_^-M^u zi9;0aIkxBBNNBTSsO2;wV^=yc2z^lyt32*Sf@E``(9MfojtjSaQIG3{D#A+>^<4vJ zDJt8Ie47I>6K+e00BRmS(}eUQ1%Zdoc04!WaTW$)pyK}R;sMEF?~WJJ9Dt(f|I&rj z=&0|)UXK_Iv5kO#`W4Gd<2as*FnpZ;#pZ-0(2i)Xpx4_p8}loVo@qjQzo2e1{alYG zRvu<>4Z~D1OXy?dhB2+$p6&VA6+vd?dMcsj@O_m`s-P#s;3tu&o5SgBstH6+)49rz zZPE+1-*tH4dLHRVCDiJF{X^q4H5?fAFgBfF9`Y`X@oj*?Oq=_zv7TQ3tOgyrd0Ex^JzlE`Xz&m(PL;y{>pa*Q7oA1@774ep`aUbxjN8uG(Y`PUr+KdY-^H zWMQ{FNmP?(yQ~yI>89D?@h)#@pN2b{HFjnK7ADvh+f*E_7brylZzAcSkdUaTX`XXoMMs+j4^Gbf{;aAjuQ3&*-_h%DjX|4Vb{e+)1h^-9O}lKdrYF_)-e|0;cKZYx)pOoRD99T8 zflZO`w1r!D%3p1_!X)2VAJyN`)Ur*PC`M+kSNf55M2jxB$+~~}RViMAFaMpju60MB zfT%L&^0-rETI#*Z4AI{xt;mfh*}mG!4si0N^LA0Et^j?h>^|ppci){eye^Q2$BELG zNHV@_v>0KfkiGV+k`25hTY_e2(^Ok`$E-m5gDy6J2=8z}+K+d7zUPzP-D>;$A3l`2 zmCN7;xHHUFLOUp`Mzf{0X`5v$VBsI5eMK%uL@_*whwe~MR0q|wl!R|7!%8=%&!lA2ancVPBt!3ccM1u%MIo7MMla()P? z2D`mh02FPTytpNcsi{vH(`1{kZO%ybQ#-w0=bMU~1gC5d-vHro4d)eZ1~ng``Vve5 zTGk7@Xg8Op&7}R^sSyd2+Bq~COA$RsG?(BmO8{#9hW4ev#lZA9;yj zwJRNXCPiBv4?`*TbsfQlo@RX?&Au*kP?7^}0E7UnA_ssvB)NIYRPorAJMq7=&Z+4J zG{i#KExmfc9IfQ3FTGErmv;6YQ>~a1!w1LIbX`4NGSe0QI9fL5AtyFT;YZUybyQ@Y zmKFB!e9jkMH}u#I>c;o>Lu|4&ZFR_QD+rzNeFrj`?8YFAf@x3oU42W*3>DhbbfSDG zG-D0l)>*#k--cOM>R8f>=8%zP1!%yT>{LA?H=GQ!nAL*XtzlRlFMUTuL%CG#Ow=9E zUJQKqtf^2fwepgyud~y>)-)a6s&&J(pFkVCDt@w{J9ELGLcdhU7`8rvwry#T<#pZIt4;^7_hACmMz5L zENogU&Q5YZ;Yzg?&XV@!Pv9ga0+}&{)bsKuAhkQb{G!aBZ$AZm%LGbX=>kq+Ef87BqrG#z0P0$#mmpi ze1|0}W`%>cBFn93nnPh89z>UCNGdRX=Gc znS~YFS!7@xapL&1jf`nlnn>V`Xd%raa7WaP;kX##3lRy;v=b38KRZ)9AS2sVXVw$o zK@j7Bd8tAGjBXY}T(U-|gWKcbAh%rk-Y5?^0;O> z^!5#JUXgvWo?m`d&@#5D8hFH}bC%xJWC(yLZ?+W7bNy#Pu0C%pHp#P-MI)X6tjLU@ zb*9M#a$o`81b3WtpV8KAiZ9Lben4q(4$wH1iyaZDX1Dk96kS3VWtFyR{h zkATx~g>9lhJ#;mO3PN*#_pDispINi}tk|f(?#~PtoV4Z({&MQSkG#X;pl$zOV6<{&_Wq4h^6u^P5J|-|j)wH?vp8 z@NX+`5PlA?6-|6&GLN6q&)R&4e^4e~zrWQwd+O;(du>cs6!U=|Iy?vU3T({Jl_+n} z){{{)^}|+FCmC0>C1YIn zQpiSSrj6fy^_Th8-|G2KCNEkH&~EmGzJA$$_tjtKSHr?n-&lLb5A|P}eQE0Fus!wH zeLNqhW{ns`f8Fi(`C5jP`&Pa8*|5%)`@hN|a?@xUtRw1%r~jX7_g6Mom-T4;{ceND z>&kCi4Q2{`-6;HBg1Zm_i=Fhvs zQ&n%8d%$rYwH2xABzI5a2lzy65b8NRaopIX55|X6ntJ&;CJS#!yZ$hyPu@y4dsmkZ&f2PfXnW?#JfSb$miWIW>%qJQJ*j%@ZP#(eCjsaJyKs<_p0gEH0$(VHr1g7 z;6AW~DIc-i+13E$5j{Zk0jY@U1vuIf-+JVfiaVx*5Ohg9y7&m;r!%A^8Ug2 zY0T#MI?mAHW44=k2+5Y%+ zo~`b74WJv%@39n60m`#^hL=AswpB~T^dE*Sp=}QjSAP!_jsU&lE&+&kmm5kwcm?4d z8zPxYdbK)sLaZ}}o&S`dEnS2C3jyr#s@c#O$Umudmz7lmczU?2`F(u15+GslD*`N{ z*1e!}&M?L3{xL{_L5vz}&r#p5Bf;5>5MTkf_W8L&EFJE{>%15AeV2hodRiCwG}n1W zV;WyHr!3n%=?en$Mc|RY<-7E@y%P8-&nZvM>taMsRSZISd~ZzYy1Jq>gEYlO;eTavm6Wi zsXFMQ29aW^7;sD+a2-MYVD8L|m8XYKSB*QPZu4sG5NVipr&&8)*Ansx!+Y7)ZI&UV znSbA?-M{*PVO1U^=Di1QhErpkXAPrP(l7SVW#nf0GzV^8IRMUW0gVUJs73|i?FKea zAgio^AyuOii=;))*uRWfIg zE{0w}6R5iQn&W!B`PVdA`RpM`-*Y69JOAEgIB8b|aG;vAND#uW5E#ld^GVp^A^}I1 zxm<*ROa_Yt>{VeBNc7=#9pb(Sc3oID!c`nui0{P-(}ZlY|HfOeo_#0YIpYB5f0oc~t~_PwiFkdu9mti<4r%N_ruH?91qcx}<5X zu$b?QCQlkFjIcs4W!Hf1t$F#Qieb|$(9Zc$2twHK!Tu4V-5!!3(FmR<31ZKW5;!zH z_&-t!64F?vDWG}zlY$0k;=5rGCMsYFZbYeQNMrT_=8i5iAn(%>6*(Sh$$N-?q=JZk z()ez4an>7p(flCrgNQnUidRv9N&t>C&9|BILfa1mc-%aM^ridY{Ad*|<$FQsx~ODC zU(=v-9=so|VuiP!X3-+s)g&lz5%))h1br0}dIjpd&DWYbDe>$mp`OCm)XW5td2s%% ztbN7gx$q&56VFYkGkqVmAt^}aFfIob^Q@@`k?(@KF+occ_km+Cg=tQgFMkTO*M_v} z$1%o*D|)vd5Z~vaxR+lXL1gGf@Rswrt|4^l0K1`m`BV0A3!Es3;I=~fs7ME$!YqCz zJp7%&jwKTM!Tk{s)<|W4p9W5o?yIU8ht5$0X-{QkT@?k}zy0vc_l?%Tm24WauC`Ux zu7L>84}_oRB9@YXQ35~aoCD;a*5e-5p1&`$Ehy>xhbH|Brc}4?;2%EuNRt%8%Mk$W zYIyR{=yENf+7{V`G#bJkX_K8Y`auRZM-d6Zv1Z;803ogLxdB4bx@+Mexi0iGgLWoH zs;dPehL)%GO`-O+P=mX2Dd7iOLtScogb+qX$$@!AV;qG9TG_NbFTpX?3e+uT48Yld18eSwo)BR zgqSocjzZ-@xJNp-EhK5)UGaaP#uh3sFb=~fO9DDIHAKD{KACSgx>Kcf^|WE*Zne$Z z=eoLJ+(*`3;@k`0H0_g$H8yD(hBS5FT@>A`5qFX-z$|O6>a00X1#!Cuc*{wAe7$mkYoNH0SOF3qx7tjIxlh5pAPc6+9)F(6v0sqhO z?iKAw02Vf>;0>vDp6x+bm3kZ>4iPoAFW)gzNmZ%k|5D`C_xhrA$j zA`wlI5*hU!!8qe1N^dB7xK7EHm|eznM>MU|<2&EJXYz9dO3*~?GQ=-6?*KpTvR7Dq zCFLLg!G{mD@Bl~?=0APh!hV;Ju!r!GmZ%)D0c1amwa1o~r8h?s4bG63OnoxLXac#c z3VmWsPWpYy`6vHb!*@K-j{FEuRs-{SMIx$o)$U#D@ZsbmD>hF^f);L`CC7#deOWW11;vSL;^JwZHxDVo2hQXi|V zY)Eqd&d#LZK?72XnIJqdQt+|RpVXnNXsdE1q^Bnxgk&u(Hb3uWG%tU)nFs+EAl3PG zDKo7OqDG|}c{8mxv@>}5IgnTxcAshKX+xBPsF}LGFQfl^R>UD|4*9HvBQxy)l6qFi zp*kF>32&BgH6%phOwL*B=4~mb9MrJLIDT5=6OW0Oc8s*>y{o0>@1c=RSJ6lw8`yvU zcsalPyg6J**>B2ibgK_EQ&2Z7KW)%p+HA?h%EVE#4mQ7Oms%kR?X2r2FSU#{t`#CH zTaHBSYt?r3p?g)JJnvtDVWjkLfEg$KD}Wa|BZEY9mHWXqX#C~p`Qyvafe_g0GjJ%W zHS!D`7yFl=A2W58$jle}HounGi|N~YK*58kv8@wH{8a|Vx$;I8yROMG5c=QcMKWat z>G5!*28YWLj_>-=RBG}02%uzy$N*pz@8xywmp|s-0x)5@A=`gXYpNN{e{8Ue>pY{) zdTAc4{^1YE5X8(*&6SgQL%9di!x|XxJ#4WMIFPjlNFU=v{gh?2li#RaUKdQ}MysCA za}FvMwrB+wdd1)@><=EUa@u5qD6T283@lDs$iiwG3(Pv8+>Zfmf7r2Ga?rB(%sZB% zI%i6Jw|9AJSOgm~lP^`7zWkB$KQbB)dz-T>Ib}s58+`;sDJ`s-ssVG#fP|FV=W-Z3 z#`acBstfio!{OC*JF;29?tB3mb)ia{1~twRXf&3<1ZNH^TK9p58!$SD6uX7nKYF63 z#X)WIO+}mZBccNIg-m}^3XTC76-A1EqLmNlH>6kQpGF{4S6D(HM$1`~(K3Ib>U+RE zX0LZwiXvn43~Hge+X51U$}`j$Pe5{$!z>!oFyLmr0%j(Lqmc^m&}QaEYAmg^w1#F! zIZ2@s+AX+@T%huXL)oBJ*cj@*9gq z8TR~Nk<|&DaT-_Lx!Xb?h1B%a%({#A-t76$Kin0W@?`C8s+|d0K`cBjy0eY-%m5dp zdjF#zE02*_L|w-UhdMw52PgP$hvS};ZfQrntMe_rN2s1Htu$E*vekalSQ`#QJPJg( z0Ik!Y$TKP^cI8_k0nV7p+KKXrv{)Kb_5O@CLmf+gFuReDfzg5f>T)__4>!q~xa zWnkO!3R_O>xdg`cJ8KQ(TH5|ep5OrxR3X^G0yiEqq3dN*N2=r@^c480Tqp2`G`!k~ zScRX6;B+5w1mL^aA=^Vr;Ezp`*q#bJU|+jqE&tDNeoK3Y(foEF9I{Vi+9FJCVX~`3 zGN5UPiOneB?Ztu)V6?iHaBqbEum=erXwcvJF=a8Pu;Vs@D2ujNiCMy`NbH0&N?Zg)s#d7%%cc}|?T^X3iP zikKT1!m^)kkZ4Ea(Hj!#L2G}zcQ}wY&24$TfgOM; z3N|a%XOkT-$}FUH#dHuFW^sd{Li1sjF{(G2E19C{kES(j?a-6l-mI3%YF4YsbLxaW zZEf&FHi@gO-IKsmmFDSEV37eiW+ux#nl!Pfx*P`~+Q`EdO)GEULL3y(Tvu=MnA$5{ zFm%NMXKE+lrO=|YtRCJ`NGjw)X(Dr@8OrHfn(sboET{C7x|P;vngVI!$*(GxB5-e= z&j&7-z-PbX$eVU4*fDoldV09zC5@LDfc?b>PSWN2?Ue1T$EAA=x_4=g$#qWRkkZmdw$6z+izQYV51F^z}uPf8N;rRx$EFPX}+B;Dd zPB5Oyv4LVXgm@@*Xdk^6 zeW^h(DYY+D&981>SFMXHP8yE-jF?zR3zS&Z+l-0Isc72#=eXEf79Cv|9ZmF1 z?H*ptn}g?F1J<|9wFqAsJF9>8&2YJOb*DAG%QBzm_gT}+oi$mH)yX2ei5+wrhQCq{ zfB;EAw!dt&*7#4~NKUH}&3^q=O5pp7)6Q;*|D^38OT*QS?gE+A6aGar;e4(sAxkqDH_K@`6|L$mWA< zBh=csWK3SGjNDx9GBU227Bh(5Y0CfohaWzelO{fhDlTM6H`ZNo4^XzQ$y4j@c(2YC z+$)&;ZdG(C8);ZbJG@J6)sSUOdwXcM$!Nu_t-A}2m?zxOm9i7zZ}SomBX>vZ$5sK7 zj+rPFitA!b;H$DLD@wI}`5DG@i97HO9P|K&{XKOtW)|E_(B~8wQQ}{7*3Z3k8Yn(? zTd;C*dXSe2Fi-#<;NuX=48#@618NJ}H00KqRGNdbagbm;WIwHNl=AY6!Fi{V>d-_< z{}rvSE%1dL)iT*2Cyr@9j?HY5pR{GT8&yU1???l*zAJH^si<CB{0 z|Ee}Br4``&Nn^0lfiD6qX{jiSC3`fYK1=snwH*nd-RjHFEUHu6k#eXC3Jij9w>n}x zfm{xWO>Wv;$1B6Xmx`wqy^l2LNVlX>-YLltq8X)`Hgt={twfFC3&v3CBr%L=kSD9* zOH)@xvP|1(;89B-Yg3tJN|EBZfZSe*9yT3s{(u~a<5PIFZ7MbUZcuX&M*ss~wffTL zJnS+WAr&?y{bvKjvVHkQk$)O9MnDB~W%QSflva=e8|rfUEyt3Td0RHvZXCyv5(F-= zLTI$^@(eHYp0vj~^J9*;7q~Q)mC^(bHx1Krszkk`s#QgP9$F48V}OF0)-fxZf~YpP zcY+s6R5LFEK!X)LC(HwrS_}j@$7t-#=S@GVx+UA&@j#oTIb!<%f-<$RHwOR8U24bVMlgtz-5YxDF< zNKA`WYH%W9L6&eEl09oxY~Zo_YSsj9*X5``>ZbbAh-V!vkgE)Jh7-(XDnma$igFj( zz`MP_6lQa8>_^?D2R?LP7DDSVScacyrZ;fd^e*nORlZ8;s(lBGmJDUnWZv=f-&ct} zUfXaAXNkRSvTX2FPED`!_-aS?b!MC*Wh_=W*}9qBsArNwx^yDrS~mf`G94Iu>r;kz zjRr)MUHU3A%(Qx{vria@uN7#%7S`pr#9bF3s&#RJncKTu*@o@BZj0
      s{ySIUXN zJx8m_D4i>ND&%E_Kl-J((QC0HTRP)cZ_*K-IkPS|uNIh4ffWav{Fv697XIl|J-Lcz zz^rV9F}Xjgx|(0?Ia9O|Ah6m%V&jUj2rc(5O9}t-hsGV1udwzRp9^nWw%^I(tEf;0 z`PZ8bExipN;v7?Utm9){l|+Gc=Oz&h7-e8bZO7tk$gOpN`}pQ!t&8)9W<$8S6*-Q~ zFBb0$RN^Ch9FygQlQpt5oiMPmVjZ&9+|AI;2sG_^#+dfncWw}Kxr{6Bgj6oi&9o=& zv-)aXUU2DB(2QcL93?Jg^&QIUo2-!+EXoWNZO1aIZnYyDw87OyrXt|lxp3nO0>zl! zPDHzMKJPI3LbbEDI1An6>xx#!M+rvZsXAo0D|p5Efhjn#okhWs^&hdGNYBTtPP4x3 zAVlWKrOeP&;tDt$?s#rUfWkf_A&vyL?S_Ozo%VS_W=283wH!g?ij)*aT6aR~?S$)2 zuL-U&ObM7AaUDz}g?2@JBnGqvJjq)it@gJ|fdet&c>vq_x^bN~h#&#R{b z+eUUY1S*7~c$EkfDoSnu+=^pRKZ*NHfx!0C9s*Q+lhH!+YEflR^wv$Azo&gHP2U(b zPGFPW0i(-<|G&K)sWi!+%9OTit}ZhpUFQs_*W_Z>G~UW{%8HiyN#9aI zMxhnYUz7bOg9q;G+6?nH`_Tx9`czOa|^%@|ee` zbk-WKjFgXQb^UvGgJ<1LzaMfYR7VCEocE{ip;+8D;y53zyiO#Uc^;U)kz-abF!KlH zl(QEn9`pmS$`m^l(J*c_`x0XTzV>X)@}$+t%iI8>(uszuP&TO3qZb%W1pmwA+o332 zCM@R@<@3Am*`|$gcq0*RXcj|&URAzZj!cnni~u(vGa0bc2Q1I%d|VGZZfLT`2 zyE2&Oeaf%5$t~}TcdJkT{F~|8bzx7HBf`4+7$91$(3^S2{y7KhPB*dxV*@ck-M~5& zc(gQO!J?JIoU9Egy&+|Q2qBNwBH97+E|3J5dIt*7yV4|&_$rI<*#W?rc(nciq5dK_ z;I}FeVIU;5+^hlWed_1Q#v>S4sbB8;bTBM5Wql>34KY3#SG`QHd*A4SzS}n znBSMl9579hUSqPkY4bu0K)T!0ayO)N`*a?Ya7DBx?7=C!!4{y!$?c*sc=Pc>cmbAy z$85W`Qn^%zX>)fh8U{{|<;0idh9F(?S3jVg*Wg4jjq8#vT0#5NS0lRc7c84v(`MN* z_nely!p;MsSG_^xbC?o1yf{?nAxLQQ$L@?4Bx5@v4QR{(DGHyOhd3aU1e>xPLvz@7 zK$K4@!$g7R?ICtmXj3=q0s+D><4kF>iUKwh9%$;NB*ATi42dymsnAo<^aCzcu>qqY zyXDlq@#lxafQ6L!{NP2jkgh;rO3LU>K-2R`_Ir7J%MKKf?Om9I}EEH*lexcO_MqWK%a%YASuk zv7_C03pYD+6dl!&&){eox%vo%If z6q|Y>GHtr^lID^1ANo>x4D1Bk0dvmJ_dYyiK*y+<#*LCi7_?XmX__qH;W6m|T6=s~ z#moWX@kP9=3IJ6ziSD3P%!DfNq;6r%SNmRn{^29ejwS*`d)X*3p!eLyvbHT~#-1pP zMmfzb5mevWK5mi}Ealaa_DVd>Sj^t0&aaoy& zu0s_lXEowd(3V8?>A3zwt>G>P*(e_CEapyWM8mE?8;vridSb?yNSffzq)wZFZQQrk z1)IkwJcojsc0Y*bvz%IdORHvRV z2Q8z0&Tv<`DDMa|<8tVe=2WD8De%$Td-V{zrf7MZrQ;pzi zSXWHi$#L5tk-)u!iXj9MqbM>8S8Mv_oE2q$U~&$`MBD0s2p-Y|*|8;tEBo-!q>Jy9 za0N;$rho&VB=|dkZV$RBpPi(rKANgQ9iG1Yf-32V)d!j!b~cLRRazr1z z6FczE9}gE?gp1KgyD}V;s2GBoWtCf=$XGby#Q2E`RnQP$J!{+@CESKkMgg^ela0&X)c)G$l*I=5)=PPSHlR$OG9NXu!LxZ3MeMPCjHoRG&$1e3-z&pKwboj?Ew zSBzFiHu332`RCsV&$0r=8^9~%vH+I{N@JTN&gXLvyus_pWl}s0ZF5*X`j64d8DZ^Y zPCoWG8?%MebaI4CMZ<*)p5X473nBYMu4tOe=Htof`G%s+sEiMR#*=@w&Yxk{SQ2DY;23ekoN4(d_}1+j zOUyvMfjdA)y*~$*h!n$k^qx=&#McZkv}!u~2-dfc)}g-Oc8I2OwzMYF$)d&`o%oQ> zMTf@8$^lUhPxqtjt6GA&s-iYt_!Zw&$E$i8Vez%FL#+=S_@^aogx+slbW~R&BxLkj z0Bud!UI9P~XwJ7?)0NhiUXF{zp|m=Gq6LcCB%IqSDzpVymvo@x0bfalUc@!wlSYJh zzeF@(yc<*>N`>5s+_i2+DozJC*oleX&qQIk=t9J+Ub-`>pzl)qT5yxrd}%m{k&ve& zh8gN~dvG|eNb)9%>SEun%P7OM2KU1om2uu*88`0np)8(RmKl9^ zw;siVV^D6LxyMH4n+ZjcNc!?B8A-{kZPyu{g@XFPprsrqu(sK{?%U=r2GDzI)N}bv zI&3ONmfH7=v8~ZJ*LH6<%z3rvjS#p+_hb1hs{;yotDm9iuP@h&r<{3rdp8^7zST?K zj5};u6ZhRU0V&j|RqqSmC-^#zy6_h@c#k&0TV)xyXZmBA!CiFfEdl6`VSxEx(W5?@ zp3|4c|B@L__%h>hZVSF*L5Y9EeZ^>s6z%K!W<+23 zf<`mu!DSWfcXnk=Q|{1)_zU|nrg1Qir1&c|5YO1^Zr5SioAWw=zHA&z$)XPLStr55 z%2p14{@e@IB8m)l)nrXd&yH|wsRjPER?}qag_6bXvD8l*t z{BWZht~5km568VZyzS4*7^f*``X>7C><@QFgL}Io_B$Gb+uN}*-d7AzTtD^w>V3IF z|GnQjBv zWL8xTR(lf=@A>dpUx=E3cDWoB9|sfoEhl(z;Zxzbi{N^oUtU$~3Mb$?%-#`nF2}ZS zB8`PO$XrPMH@`QzFBgp6&M^AYBxF8cbcz!Vz9jmo)t_|nQ>(q4GBA=`cgKthYpDMY z`3cxL8Cb??r`_f>+BUSW-|y+i@kl?|_3x9z;AaRT#z~NF8|zc9%H~PcC;Eck{|DZ& zt??Zr{(W@fkG}npQB}8&DxZtkR=U_~dJm3SMGrv!jw4puLtV+kGB2M4L%0Z%2zhmM;dgf zO4{%voDIP_sMcB^GC0Nn5Q#5jSTtrhBb<8w362x({z-GF1POOOy5UFPSp`ZvN_UNe z|0%6cEo+IfXY$56SJiGKZFQpuFUIj&$*3bo&6V^&x&WwIg^G-nkn!dUfNrs>r~1O( zHoY}K`p!;!8a{9Z5Xf8z_!uM~J@{rPiP8ze4B=-3bQuIi(WE0so>mCnR-k)qx)OI- z`&=M$s4CIN06roO7Tnk;^E<176G;XLJwbiWRdKGkBFTdv3jPdch`QTuMTX~L03>Q3 ztKGWBUCO?Lt5MZ7symn(NJC5uvh;s09SgPqq0&($rJ?E9Y?Dk zGa3dh{P%(Ff$#aCx6at1$uh{(y|+K_z61I%wDB{=#9aM^PtEwH#pM}XLqnVQr7#l^aiH|d_=dr9ZWjxC`7kPdEy@bfT^kZqqXNX(vw{zE#rBb2yg*v%yclp+A4 zp?}Zm;Eak>)M{&O0jWxfJrVc!elVF0(xO|>P?6EvcfulzFU=<38lX>l-M0tpjO*94 z=6JUT7b1uncSA-wb{uvGpcncNX)FYAr#V>b;@AJ+`ADz#um8z&cA!y&^Z}y`!y^Fx zH3_9pY!5nNmMy#g3}2JOlm9ULK^fz^6oRMDG<6>8||sFV|YoZE!4m)_k2csTC<6@~PF7$x9Sa0~i4JV71+$J2rAJ zi&M6?X-pQ6_3XfD#S4+eher>jFkOJeYhZT0{1Nc?t1Zoycjf&gNvLqUd;sQQ zT}t^tRHNaVX}-cQNu+gG-^+kY6sGfx*2*GF_v^Y#50VM?`|6+kutyZZggFUcmo{?Y&?X`7L8;pz$$y)_ z6EFYoEHz}d=@Q5}s1g-U=s;)LHJMPrccy*q>ltZOnJP$1cL zkF;8(@)6gr`H8098khNw3m;4t9KZ!^yq{1_haIF1)zF}vRM~T9EpY9*eik)PydacF zC4iq#^bZs6ndX(Izi@Z^+I!(x`>FC#ecHJIMtczN!qt?;b12Fv-c?b^J;1&b@vO%4 z1~|^N3?OKcjar>^JrrUCAX)DJ;kh;z;v-%)PfZiZs(7OmsOG7fcJsBe!hj|vE+~fY z+gMPb=b1M>i?td?O|ovvNWMr zKi$(4LP9t=V8kd?RrgY_&Wrz_D{w$!3^0)p0w*#uGBZv_Mr6g$$(zR-0~iBgfiwcF zM-51&p(REmwGbM{=-Vw}BE|qAtQO;8A|YV_>sxE@h#irc=brZp`sclO&WXMD|K4lu zwbu6?%6yOrh|GJV7wgHUecBFP;u}BD~H}04k8-ej?_2IjKJM2s|%MM z3YQ&P4Oig0GB0$d`NrP%5eHHz2Rv7@od0ZDNwAv#RV`6KcU-7yF*Z3(5XYg>nIl2h zbouQ8zb(VGs$oxioc@zK1lMlc)g`oGHC&z_B~pctVD`C+cpfgq&10KH>-jJ%%BH1LzWIjJ(6$xAZGbw&d>BBS9&1inXLl?v>2|kMRt@Mz@|V4F7g>yi6F4K? zR<)B10Gc~hTbS~I{ABj1-;O|;yG}n#B25hLhYX4=mxXE%Max$02s(tmDa1D?L>3cg zsjY?jL1;0S%L6$PH%SBDnYjBseYb<{)87b9UE~vH$t-kBy<0ZPkfc!f9tevP7M3oB zAwq8!2GRHXm!ui{mAN#^%3yqJ(-Eg|DIblq{+VvY*b?9NBt!c0ei?qi$&qwG%`&75 zvy8``@MCF#Z%%F}AY7wdPt}iy>;}+bPfto}{KsTS*i$8uO!jP_hwkRLB zV?uhGNs=&Wsv~qhLO}e3JA$U_jsR5-UZWqsEP^P_lo#no4@MBgq4+@FHL(wNNRS4J zcn{v+8)H(#G?gd!KVV@5i7$`cf52FTWI>H@1TiYLT}2wDQ^2ClWJgu0++G0^l{aO9 zhm&mu)E9YQx3p8_UO^7ZyI;`P1^wHYys6+F!P3wNJ(vo{_r8ekH#IN|ruS>S zE01q9>!125^V=O2KN_Pf*hpT%f59qZ6yb{OsDjap4*5qm$!whnfoEc*RrMb^5%4<{ zX1GWo?EzP2e<+))h80)o0{jL)|51TEgn_EWOHd8-r_3KQOPd8p$R@Ap#B34!U77*` zVVGa?rpYI`h{#nUV^2iJA#mJ$1W%trnowX_J;ZsILJ|qB!wKTbGtCE$Nakvy)KH*B3E=szuib*FGph9Ab zsI9jmNq3}y^x477BIA|F=lu26@f6@@G}XX-I5vhuEM3ypy%^MpA}6!bl^kutik%E& z=3zgP0qrGj0?&X5^V~-rW#r2g2pcbSRNn7nf<8vE?}&**;{1o=IH=qU#L9c_Z2e4- z^2UIv<|`S&0~wQPz;TJU&B3DpUMVsW<%5Q7C90s+3;kaWI~|gb*F?sL02F0yL_X}C zJf7XUU~{D}0mp8ZXKpw%zYc=*~iBaMoDk z!cH>WH#S@7-D`*!XoT14*vQ_P+t8ndOj$Ux!ZKr#hFC?xgUJ;c;X+2HGi2ty!n@vk zs~OQkM56NsrghGT@}toRZYA(o@T0*rpxlT@V-enp(5Vc@BISh`KWK$KZ!KF9>wJ)T z&nLp0`bIO7<&?NOFJxNjv2e5AZ$@-0LJx*sLcMOhNSm|=-#Bui|Nq{&F*zZO>MT?vJcMU$h{*&rglDi6`p=@zZsGNyKY9N zb64gSmWYu1?O-A4N{DQh`OI=+&boVWHE~+3l3`}9h>&2p$h-$Pbrj4({;O}q%h=z# zQ;i4&?O;uqojDY}6&}xo*_3_7Cd{r*IDG?k{H6Q>a9!l*g#R82!oLqDXZ3R;gvs)A zBqv`GJ0bs^$lt@vajpOBC*OPniqO2kQ*h2)<-4jQW3D9Cv)z^sKhaD-seg+tXdSO$ zoB)hx<1l+h$x(EYK7>?7(5~`NaPT%H+a;rkV@%rG-jY!X6i`IufR`?34A&e_{;#>y zkSSJfBu!pABdL98ygD?<8K9w~YOPdl10cCeYY! z%D+D#Onvx!I_4tWa6cE+`wkf z&up+(HI)b#RrH;+MFiA^LwR~pauOvxwED5HO8ZFW6Llni1z>7_ywad|WquU)s^NnF zbeeWxPObqcQGLm!n@ZtaAchaTQve60F{*a-O?w2w^jIVNxvn+veQoDE_$7K4@OS=L zDdH<~4TRO)vBr%Z;&4X)bAHva-8Itl;kV(n3{WngY$wicj(zjcGfGP8?Q`C}RK5Ly z*EqngfCME415>du3JPV%rYw%-FuIuhvCx1Uvd20ZfJaDau0 zkGZ{cnkV79Xk-+Xh~<|r-@npQcvYRvxXJJfN9(e&Q8tx$<>tDD`x(`QT#!y#DHs_A zQ-R1(%O!J$>O}j>{(yc*Xln$75iS-R#j-`Q5YFx%_zu(1#-Xd*nJhFvT`&_Byxb!B z@k6G&mjIU_zA5H|ov*DGhYH=NKw<`Fa-!zL52FZBC^sd8siZ_d1JYkmcDO86>ib}- zmZGUyG+b3$fB6SzOa?1=v7jq^l0UyJ7&+IxIhMd}r$ZU*ooWLm-p66IC!X3no)R)DQMDwa@mFkS+enJ+lrr6JkN?1f#HGmn*IaUh8v0!ZaFp`yV}(O`8V1>9JW z*XVr{`aVsG6kVKUp;46I*22XO2iRcf(>9T!=4s|ft6FdN06gF!-FAU0Z5}KfEf zNL!4-k$t0{}2D#pQ5N#)<-#e7R0!oxZKt9SFQj3h=#Da zGs8hx$M(4bF9{H-@&EiYqAYnJjrL2`49rXy7G3Aoam0fgYCh5;X!Jkjw+=stgduMr zckTh-r%CEm?IpJ=Jm-^Y>#)O|GzMAf*Q- z>1fzgdz&=EixXy_5YQn?)v4{E8Inp@Tu5sjx(et@2wDCVF#Ql9poiA!x1<9f+t<2% zaoiZuJ`a2T zTjId`)eVU6b2z-6A!h|`x61ochR&!ljL>rrpzWYleMZF8L5*-=N(+)t9)r#?5$dra zZ3G_y0!2?lK;7{X*UEgh)ho|HY;+gt4jjk|Zr>~ana=7X!*ONYSi1gO>TP!*^Prbj zq_Y5OgUfNMsK96&hAm#S!_N?j2&knIM6x7@22zBg6&}I~i<5mGo1=6ios0WYJYyhH z#RrI{(l7J^q$S{m3@3Lek*5N9ooB=^^CED~adX2@5}0=Z#5^4%UAYGpJSz1ZZUE95 z7*6ik?ka&9(vwZ&4K`vBF=CNMDMI6Tz<6vzSt}qX;m)zHucz9h#o-~q4YVXf2S|Oi zE}46Z{Dm07Y0&y%d2REP1H3HSi_{#w7(80=F`~;b?3<1bFMDbfBnHM5yPptGLDxfD zpAYtHwcj(_FS-&+!;xX)A;=5&a@8;y3R!%)d=yO|(M;1`c&<)lH0}4f8V_TdY4=1f zf~>e%`nOmMk=jBoZ~1=*)+r+Y=kSe=&niS}k7tey_>Bs637O$rD0w)iOaXH23J0Wr zAkl$Qn4iHo0>{u6w+6Dp=nIZ-Cv$jTf)aagl=ayn4^Xx^RQL^kCbQj;*6eaw)BM~n zCOlO~_W{{s2!X;W)91P{{nY{kI|nvO(j5Nea$SM7Z|NpE8clFnp3Bs_;`6?UosIRw zf9Ikkvv~$4$Tyg>q;m^iz{(0@2MY0vVpR_C{H_R5aJh1-A@ZRC?=dtVg zJ%EgPYw`x^*P|5l9GvDQ+!)kIzRdPxy;ClI_9O$AkU9a}%T1XV2ZI1Iv3DZ^;pi#~ zIWx%X2TL*)^}8RkXh>V;cKra!9vx~*Fi3S-unvvTf{{amspzr$$^4}&b2}D;jj@rT znYaoSai#v*5bw?MP1v9m@q1(m(r%-XQ8i#bH+UwPYfz9^AQPo~4Cj^iSO4CB2I=Rv zzREXV(^zFus0T|W;ZAi8 zcrKYotIxqPx6io>Xj@n+(=P=dvR@3@pZ~*o&|Ll>?vj3`jdVqHlwmg?pdsO*WmDEn zl&ZoK6lv(tb%hhhrIu@sTDG=B|ihU6aOt3G}-wEq=f!9@?|fp&zwFym>ORpV9fN zGAxVMw@by0se*VuKzBUZzWvc81lJ$YS`r7dC1_Yd5V>xXG3`#Vk}KTP}-DKk%* z#jw+4-Gy!zrA`)yZVJk&AjlFwq)(mriID(JoTV`H0c)3~ejFo3$Mcgc;IkuniYl!p9FSDEJp zX&CsV&?KDJ=BF;r3UX|y1AB(`qA830C=B@Fgw5(C<7kNNDX=O)Rz^uktpzGy3Jk|2 z3V0DYXtHD+AL(AnX}+mHF=hlvjA5E4%m_}+i7bx0%E31fQopk-4PzRIfEp~{U_kqP z+*WkiPU*lT+lVGQrz5N*eLsh-X(RO|i9IYAP!eXL7XyHq+RoH#B@9_Riee{DLYi_X zj%YQeY2-vS`g9y~q^+CTaK~es@UPUPB^0~J%(nhlSg=sEid}8b=-&pfxaJXOQP^IWJ2A1za?vFYv-@8m2>ITpUIrk7ZH&2n|vI4QK`v7YhNLjIXHJnwFRHZrm$;4 z8GN>J;$P_ON7Q=*^i2SM=lzk<>**x48O*z@nCh2K+Z?YJa=nlezT5D-R!%2rZY6h` z@mw;qCU{7Yk3fgpX(Qx1PK~H0%LwPp=|F|qi;$EYXH^cYg525GWD3zZl4?p8*u)fE z_GHAj^f7hy%&F>t5eCStBk;)s_}ew9sP%vU#7Lx5Idm$G?EM+4x2dVf3G^A68~+;u z)&18tkfu5Rk0HWCej(tWevN#HK>sNuTPZ~MtIo`JhD! zIrS3uE&i0?PmIwX=s&SptNzCRDh7}brR9vq0jrS%jnRI(80O4O^*7&+(+kv4=$0s;%jbiWb5YYz{ne+3!H<##03U zBrjE@oHd)=EHEkdnCIY45Jgj|bpqXa5yp3#u4Nd!w=Yjim@BN|<(ElR-w% zP%+CR;^;W3i6qF$Mq8Jf^S+KL)`Kb7&z(CKgC_6=sY0ZCk%96RNjRO%3)lF5R#8Z9PiV zC}399q?dlR>}{Wf2!>kFfI|bQ`gpJXwX;Xk_YWRrqgzQ#+SC==H=Y>2CMrkR|Bx## zc~2U(8Mk)JAkFU@=`shiyKTli(k3Q_jmap_@O9$%KWdL*l=0ZnmDTpEow>KC(2(&8 zmRg|uVt{}6@^cp(eP~Z~mXHBM!~34uTCJN5&ZxYT;*#Ai`m(h4X{$Q(s#3Fz9tO|rYWgC7?4M+_RSvo%l6>(B*j?}%K1htWl8!~@itMcy3TZp*5U%W-%PDRnuNrPA&L^gc2dkW#( zmZ8-q7rej%Xh(_Nikxgm{Tt>U6V@(1_AKEH$vZr~*Y(uL0yN;C8Iyn+7kz0N4gW3utBrjAKvzs6cpXu_LWNv-)lhZ4x@w zz7dPi^J!huVIlWgGoF;ZD0ND(MZn90!P)Rf-JQW918P+>S#%)XhQD|NIxh8ZD%6$d zqJ7^p**dan+9%Cx3&zJS_(kY%UEWnN zNR^a;Z?da>80%Ac(-?2+Xrh?YNx|v9{O-^HbU&7_%O#1JBP?8IMDlPWHTE9Ja#u&v z;(mkO%{c2El{pS{36s4CwSoq4JF+WUf2vkM1Q&)Rh4SFV)_?c2`|)lH++2mZwZ(w= z>=RZ@es1e(+UWxNkw|=;t0PYtYkQ$Tr4o>4eCYFsiJ|StftV%2y>X$d*PFfrj1eB_ z#Z1z-qwsXZ{H;HK8{7zGN|Q8_+Brc~z6|g7$rp%`>Elp7j+YmizUb`_`7phL<3arT z(Me;e4-E@u3F*B~WK7QD^S9yjEn=QqMLw=oT8?B&GX64}zw~a598c0dLjE$Izl?52 z+nXDj%pWE<_lwjm64Uv^^yWj3(@GNlFyjxmWnp{k?|9VA@zjHs%DAIw#6|r(1K~^j z1+Niz`ZByfK@$F$s0rooWBxvR@I7PvBr+o$4r|eok9elR9nqJiCZS0AHU}r5Bczn}sYS^1w(Y7B zAcLQQz#$|QIYN`b0*5gfaC8 z@Mthw;Vfe!7LXhqFi<-jNFlt}aAOX$3~->)?E<{Q@9g%{$UKas@-zb|kxPYnVu=S( z!rR~-la2te{@dvhuvVOi0}LjbU17TNh}VX?Y6bLoZ%=* zm0|^BD&gu9e9m)@C#~pnUeHBTFaqU?gWPkPa=T(zy|Yziv#B;N>r3drdX^t5aJwTa z9QPk{kD>QFRW_LFWu#t}VX>^2MhvdGEpGj}q~|U>$q`-|cM=VyMKl()RnD~2wl~9) zP9;JhvC=5AMs~I6w#;dkPiJ1X+uORhi;+qV%xivMn_LgHHRu}Zb6c=?`$<4Fm5=rC z0)>g%N&^a4sZ(rjKJ|1}NOH?eg4LOjxhWlK!D;_FRV!ONLYy zWtbgQUHyj>n)^dNc zqEy3Nt~*0D%<^sARdi*yb~9oP44k8)1}{Rcn4mm-y}nH9OV{;{YAFn`Z1V4-U~EcJ`2)YMQnHTTfk1+2eA zpxKE7Z&4lU5i;sn_420Rx;v|SrCa|d9WR2*!;Wl(sv*W%U%G2AHaukFVyb$+61t7E z$**KcTI`O?gx?!3XFBaSj(!};`-4QYS%Jgkx$ud$VBP)gX4;L)r3gVCDRKGhYwncmp%I^FkU4msJp%o03vBmp zN5eCF4B#ULPcagZuK>Nl-9c@hR6s2)WDjb9B)2^+i-znte76pU2WvMVIvix>kwt&0 z22iK*V9#U4SjAq-e0(oR)Wb_CUh7yrYO5YWzgQxfvj+rATa?34VFAsn!~UgRm!-w7 zaUYD^TQ~!Tn!a@4MkPC+RPicD0B{UOd*`_YxOw+N*D6UGX%!&yHwK6roh^G|ij#*q zt&}3(mp%v+nYZV%!6!Vax}`qG*^eZ`wfz-skd6$JZnN4_Iz|J-?I#|hfze)}94C1k zCPn{uK353!1-o?MNDxkUE~tC&cmFLEjEJf_v%j zVIWcaXPhngz?cDsLJp#c5%Xy<8u@!)+Is2#Ge1$dhj_SziMJIVMP}n>b_bzpa-X6Y z0Yxt84-t7P#NHBI=_?*2_bCQndgMA&2(~b7go5uzANZh3kMBtd6%P=Q-pxsI*Otm~i9c}sg& zPFNbv63w0HJUOi7lt062M;ZY`C*cG9!~Vbl1|R7h?#ZmPk&VJ*-QxL^*=>dYgjpmb zNedQ$QP^E*9IcD4!Kz`ve$M?sIY)=Jg^Z0Z8Zbiv(9qD5<&Y%=v!WtAeXm}*Lk0wA z_3$@J*8@pGfn8!F_6F#tG!(eJNk71woWe0gpfxLbqTk^eH*z@Zb(h!MR<}cmh}8@`z^+9ca8In0Q1|ZKm$f zIfL$JQUW?rf*YgHPjJ9Uj2d-lF=W0BnV#1aQ{>?-b3c+L`{jFVW}D8fFTZcfS4Jq@ z5VRAj;Ig6_>*1Fa3f5o@IgF z0JMlu8V}Cp4yPqEJ>QvYL9y54kLBlc$@7=*x9mha;7v^EH^fMDj7kHeXbRs3itb7M zfR2d^lDdh#G6yB9`tW)%5sU8>ai@igB7t*g z@j|DRG3tJ3mhsHBlrqjc%5*JjS4YyqdjWBgiMo_qOq-O-#6Ck1L`cx%RcW4+RW;-(>p}UWZAToqzp~Oz~P106W0V2e>yZh zPTvqUUcfQAjPk!w(Ox(?mP=vTIz-1&sZ70%Aq0YVBj8QuE@g`{V5Q(PR8x6^Q*GNK zZ$#~++l`V*JN;>%eJ+kyVA#gTvX=3Ot8;b2XUrt)PKTnZnfi}Y=UjdH`_NZt#{Fq5 zRb#`cgHl_*6}qQk&_h2DifUjm)j}&I2%UY~Aq$f85CQ7YbT_AtoKyOsm#zgN>(6;v z&reutalxp3Ept`Wo0l@3+A)_LU?9W8R`bCbnk!kIaB3QS-AoCI$S>-m%a-l))(1U` zlw0I~woE7_85Hyo(Q zD%e1ZUai2V**DGqhQ(Ea&zv!xEghb_sjF827T(EU!G)YA`m`t8;dHJ`Yl?R!1*NRv zhMIme7mbXf-c(eSZ1%0_&>rJgU#nO>v{r}^K37})@H!U@jbiRpYzisv$8(p@5ys!z z0*@+fP1m)N`cAsr3lJSR4rKlrslUs3;s*_$qLVjB+5<4j^qX&CRU%pOL8JAHEA5}^ zC}5BBi@9Jh7fiFMAnTTAx~X=fXr1!Yw{%+3wr@9&+Bz|!y&!e0pBd8b^w!rachO`r zXRw!RxWEx>!9UHD!`HE^(b9CGV};Oi_#XOmMfEuIFK&w7ET)&7j~lQuXhcJ#1n=_C zaBj|jmK{2m{CEH82SKMurWS4rJn8G?d7L1Okr*ln2iFIi5C0TM8D9Y+NP(KOb|zec zG)`g#<)uCkjL%(%t;eZ?1Qobsi3*6BDiNv@f&_3Zftlb6JP9?24omqul&_&l?87 zjTcfakx_`@&7_ccn~k9W3Pi@UB=B^qgtwTbXabJNRLi^+1Z7+#RYigu#Glm=0M{l= zFtuDRQ{_ygAX(sAZ^8_y`m!jaaE}^FsZ^EHhmpGiK*FY`;cNhRt(UM_o7ya7_jBR^Q$Vc0o+8us_(4Y2R6OnDR0_QQ zwQs&Dw~8{7pQ`y(*7-F$cX>LcCDeysYwR7~yT`L#jvdk_zf-!AxYzBfa=Om(6{h1v z?@VefDLF;a^81>z%kl7TBZsL551Is^(A~l4K7UX>bw0e%#lzL)O^z#-tUA)kUg*E+ zW)dWJs)`}3-dWYYs^G-GQW2&T@guX!g^I`(H~9dlXrx6T3~cHiuYP{d`dXdn9m5Qn z2*N-L?AmLCpO;F?HD zXTO(BS510Cv!yO=#~LYQBS(S7dR-uE_x&~Qms1w6YTk@c>vYva|57q&66r#1bHq9c zR_lb$-S;d>nT3hJSugtn>2^2EUQZdX3-xdRN7uzLBcO|5u#pqhR5O+zgKNo+9(*)c zq4&dAell05oo`%S-|pa;JLI%fa%1$&jZJM3L@MU0c+Zky1!6IAz9SGcP>o>`^X!o^ zL{o=2Wm5ERcleL5tLi&4b)^#O8~xipm%jr24__bBJ?{^yqABs9zz7vm58KyY{vIt5 z``G2rRZ$)Vy3br6{tsRL;i}r@@~3OVE?*GkO;cx9#(fLk(>GRS7nKCgVQgSJsV(;9 zPfsOgY11k&HmZYhtMtGBpt|lX3jpjN@XDSKjA?50EBu4%q8`wp#o#j}|Fzt=FL+tt zN}pvh_7%+Tf<7Xl7VnkI?DM_Z%;= z8;hRitLUd5EoMpg%ulD0xor(n<|Z2|Qgi_x zQF1=Qg;p*g@On_iDOO`pq45GacP$_`Dvp!bmd@DQFBLc$NtHxCApPMZe5M|$j%5eu z2>*lb?NdqT$gaEM?Yxi>rcHkB?O)oG(jw2~hQE#DAld)t=k)==6Yf)(!q@6E@DNty znHfC+vr4}h+FW2%nN*KN>=m{aKlGcT{b(WDcd{p-N=f+Q*c69Vdo_o3UANb*W1_at zLIU7J`0(b2>;^uyJuSIUHt=s~K#O4|^9T<-$!y9C``Zn`@mXj{Lfs6WU$RgD!vT;G zK49>SSJ2r|ug7-N;qAgc^kaE&*4W)jYz(oHIEqP`Cqtc^eE+94WYhoz_AC7UBDFKBp@0s45t^WhIJZGi{yE zFoU)%n*@(<5Ljf4kX~HpXM0oLOhG#$`1NWZ$v&M0`R+ncM$Jki3wiUTkdi4Qq&+7N zyLoF$XMu?+kX^_S$PB=T_F~snjb}cv7fE0SHo_aTYOtj)1bb+yX9b+xFEG%YS5!4K z@XcygYJT7=Xc2G_+_9`V9z%x_ryAm%<@+R`tonc<0{AHqh+c~ghx5@sj)!KBMD`al zuuaG;6}W>FQfjWYz$xz9cHm26wS^y_71L22Evn$KgP6u40lYvB6dsO(yj@4s*1qjH zXNFG1U$OynB~#5lcO%(pRe><^87gbp6Ri0-wSp8L&VB%?{9DUw7LzT+F!T(qh76bn zIH+Dqnv0?WxK9PY!RqKVPqg{2iWf2yS^FU~k)NOw?CJP^dmjl<*Q#-;lRWu}6?zOe z$nn&OX2&qS|40`Dbt#x*EnEvB2?(}mFMv>b=i(H38d6LI`arkwLn{p6L+@Ke!=Tq2 zn%?#TXpe`d5$@?^A-IJ_m{^;SZt5#j)Z z;kj>>SB}^>L{M`wEdkmowA4G2ZbkS?gsWm0n?mAe#IridV4CYYqmT$rA6>}+@8K3u zVO=U`0Q3-mfWAaGz)1$H&_ULLA505VF8lq}As+>9V4FXvb6Sb;+Wb{{bFC(f5q zw6j)`16ZtVYVglGFBQi~sgjZ4<~}T0_Bj%Own*nwz&}D;_;$f9#)L+K^E0KcuN6__ zgaBa&0CkOI-$h(s`moq9XmUh}&Be`Cm!Jy_UVTff}|063mw2fl72afOUk!l%rid)*JBg zwq-T7M!v+kJ(I3JnJg|N+N7j1SQYsEDujSljiC;Bkv)?p<9h`0(dWqHB1@uSNMx!P z!7H{IwC3^=n{W&Mqd$zyZ@SVEd7??KFE)p7q@Mku9X`&)VuDPC;3!4h79tZ%xRX39 zd?d^h3~M(OaZ{SxilZ5f;KE%kL`a?$J(ehZet}3-sqwf)*{3h$Ybns=gg?l$vZW}M zX<6H;qNo-@x&~7g^W8-$!oygWZ_(OWwhLT)XjI7ggG*5xHd80JB6A=n9w~}KDFTS! zN4;csZt9CX?O9*U0odvSxIQFbfrQ0NVP@t!wUB#|`O6lbOFUr@?Q?#F=?Wsuk3i8& zeMPcDV$-EqP5OvV^F9ujA{UKJd7-4S;%6g!YBhd>GD5Q4_)hbNYcJcH6VHSQ-3w!Y z+NDa~Y6O>@k+hg&V=-&7&j=T#`{E2BGqw0)R=YDLb+!7YU4Tw|?;1xY6O01Q0|`s= z;fi)8rBp3w0J|n#@`&8$W81^ae=T2h#3RRxf^)~= zz#{s~zHF*1&h3gucn)86S(ObruFz^qs*1W|zvjoPqtB-JB$si<@YE1nq(h?d?e^Gq z*FnDGm~Ch$cV#3~+@Q~zRBGi--fhaG4de~7YmV}r5sAha#|hH;@_~$TTyW)!qmqdD zp)?S6$U=x485P@?77kvKgv1=iNhVR&f1qQtr`J5hHgVK6Uy{?Sj{KO9q^EZ#{Fwwy zi{=C>4df!~e@p1pxE-7&=A=?FD}Eay4QG(hsOdjoY>fS@-M<#E*L_uf`7i$JZ~do^ z;4n(rre&xIB|$xeA{}Nso=#BH>R+i}p2@JXf#A`Mb?+c$2_CMN6gznIII>o0i%QrT zDXsL+1LEV!q=S#ZZjU`FP>pt0NQq@5HYE+tb$Vc`Kz`k{bRpo5uFKcg+@|~dSNiu7 z>_}=Q?ZupaW=KoxZ;~0I^PeCT0nohKRYIR8PDbiZH{my1n~Hv6re|$Nl?aINGohbg z*c46#sLOr+dag9iE%H^aq`FBEM$dUs<(zVagdeA9`od<&GupakKMBu#Fvu9Pw|NPS z-jy_qEa$$RvT-J{JxRSB5TQ-V)o~U}#uXd&&QwmdRsT%Q9jMYVZ_0k%RFbKb=IN}_ zaubjBX`{U_6`5$<;7OjPRBu~Gb)C?M)UkZuRRtL{BPm41rXO>*P|B{p0(1XD&F%ZV zn5reyn5+F3L+G5Vx>^iTKXw+(o3of)@Qb#3I%?m^8|NN=Y-HG#uiz|x&EP3h~ga5lLH#nx$PrT@c zembn|TWcYSGzx=;Nn-6l2$e&vrUKw$m^8m@P8JNuig=`9<=7ndrei9!52Ol@J^TWdtp zFz_{}l{2l`&+=Ebk&4Fjdv$vuH41g9B|cT<1Ew`oRi&ybokiF}RTVn$n~K~;Me(xJ z$!$eJnn_$8Rg}7V+FboiA*a*D7W(nY{HaG$ifFaaQ1j$%t0PQK`!o*iY14vHXjyX% ze^Or5pl^U88JI!@9cYwxb~(GK%fds{R;{ zd;I)!#|mOvsjsR)O55B9$;2t1DVQQj;&og)@ZI2lJbasxPEd}qiJ zn|p0X`&URAB{Lj>rAXf9AQXN>(dK+&mQUbs2@s|auaNN+ajyj?1)C`(guew`b1gj7 z2jnq{Pm#mWOU|P+3BJs-F}y2)Y1%{65e|*LL~*^@0zWmSq;Rdoq~36*IIi)c2Jm_A zFgw!N4UWkwpv!qKJSYiX-T??R5hLoX0M3D%9bmp$lzk*Adl7X={08Z^-Mw~CA~I7% z05?eH2;t#B+i}kYu6gCtC3nJo*H+9?2j(9kBrZNgTM+&(f+zVa| zPgp4wHLHC!yJXC|QaBMjfR|rMH?6l-c{@H+$wh^}1xkUGERxeX2RkLK7t9V*wsD@( zA*bVOU>HfG`pA$%id2Yn1SFLg#}mh>_eD;tgOQ(G!|CIj#i+N)n1opdeuv>eHqr$x zz_YEqM<(X?)Yt^R610zwykm=eROh+uzx=m7aM@p~FMq$)ULkWbT$+p&*^MY!Hq63< z5i%!4j&ie{y@d0W%B3GBA%F!BT(b$UcrUf?E0SHjye&=|G6F_1_4qZaG zV|~^8R3s(Vzx6)7oo+-=z0KSFE=6mUj^OsCKhkBi+m+2BAA58^bXL#ZT`j*avh9ujYwj5}0u`7tG?)!3hXH5(? z(gMl0Lm;qpQUbe#Iu==$0Lp9Y1I~u(`c|EOV$^xgWlX-c`EAPfGpyC$$>NYt!+fh+sU%K z2<|$l@Jkhx8GSSc-A9bu4ixZP6~{BJAY0`})1o`QyI#6ssL|h{!QD|soz7b(fLE5( z1|S|Yp;i5`!vEoq{(pO-Abn}prBupF4!b&Km{{e{WY5KhR9o@KnLoqiMB1y(;7nD^ z)-|A=NxsdQREL(%X;Pn(6sel>OhIbbRBdSB`OSlDX!)NdE^_*2} zejeRzSqAbmX_*IYc5WHJkeNlv%@e;#a0;>OQIL7v6KT|J7>46;C4DwjS z`lnu*p_{rArGPd>MjH%--@F$zdz{FqLN0tv*A5sW^WADHG zLq>PE0hS1O5TL$EK-p&8g9Afe!PO7W^vfXHIQ~;$*K{5^2QJarucKX;6%609d9RoP z08tPV1GKgQ=sdOSxdl4k2?W;Isy{&9)U1>g^=(`4fIyZPG?sM^O3)WLk4grRnx681 z1KQ))_0M+SAMM&no;HXS_B9DX zq=&@|72xou>d2B^cR{1$>;FLL>WRumTsEFDteE|#{%XC6&KpcF{uSbDLeE-Y@3}02? z5w#>$>hljN8cw|5dnRc{^qBT7{(wG!90121Y~Op$f5)EGJ2FVwNdEGBT58mic36oz zm*c*~Z{^>l(}cYfq8%Y#PwTPTgAKG`{*ub+b2{sHIm64)Qn~k^c3dz}F{nGAQnVpN zmVbe_K3Ep7bj}<=4)Nn;h0c(_RzR42X#pquE-@*@_yMj1bsWdezTM#^xV2wPIy>0q zQH(J9=J52dw8`H0Q?ppd#2X06$y*YK$)y^q0`GRYeRBrgKa8lObb-@sk+FH*js1@i z;j3BO<$F5Me^e`wZjPaV3?IUttw-O~o#R!q;6`GGV2s)v`9 zPJ$K)ET5;}qnwl-yBhfKaHepDfL*FyUrB@E+D;WRmG##}3s@!6Fh(YS6HH+JOH~yY zQ@_(Kq=iMdv#lf3yo~0#VSgX}Laa7Hkio2wf;yerYZVVV-gN{q4FUu;du)OP$h zrTaIRxa8bIE$V>8%>D)3NpmYQPh+LQEYn?{Kh@2Du1=d46!Z3QV22yWtU2?qx!m-l zE_On%X%sdH+TU&vVJe|MJ3#EK@twZWr9fmrJ?il8CTk!`9O`|8Fexr0Urb#?#7sWg zv|>p4gR5GC z@@Y-Jl#YC(d((|gjsW5fp!I-&#k5#ik~y1e(Y3olnrM7BRVKg+!=9rfFcPO{!s+i*iD4wm7EM%?iCKatY5*T>X$#q>IaiBGm{U&E* z&5UC;9S-akB|FgxoglIT2MBZ(-FoaPW#Si`V-XSoo9)RYI@r=*JkA1n_G$xR7jd(o zLw+Wm#@>x=5F)2?+k!x5ApHRddQKRSy~gBQ`PJ>g?xX^w)wtw*-vg?Gj zrjZQe?#uTl#-#PYMo(iz3#enG9=`NzS29jrdCqBDRyJ*k26&cE;FDJBV6!y?>D9-4 zJpRSsY4ZNw*C{oe6e2N>&nTGDOEe71K5QrQc*u5x&f{VcM8(1g{~pX-X@ z#h2~%5}MM~`o}+2xg>_qX^k3yiJYPn6oi1Up#$JpX!n=u+?uKE`B(^gwwa_KAmn^1 zb{RpA&Sgk9q2C_zZQdUgx`-~}Wy>^}h_fQ#6vO0l>3TetZ1$15UG-CW-$V={JKCO- zo+0J8V+pkR36X}eZyP#QfkV4&G=pPIXab-@qN9^`4>k~&MH*sm|K&d_PxW)YDC}7p z--L=C$4g!fs=AiCaH3;=4<}i@)xE!fuIpPTo@Mc4UuAn`}zx*El+46)vpqs6n zO-y3-kuwWa`%@~gsWpOz3KUt6w1Sd}KF)w7{+xQ1VFwPCKmwwETs$P8VeQuS~@U-Q>ZNnP$r8uw~AF_RMA1@r+P zx%w++wiS;U&MR!P|cxUz?o@aib3|H$@jCx z4K2I`cPjFvqSWX{N5Aj$d_${*ev3rOsUODF3nSj9+%noAe3FP=Ka4%yZ1*a1Rgb2M zpzWLh*<_QE0n{~``clW_PyJceNJsDsKRSJDFtNR(F6GT-c1XA>k92xKzs;MgaFWe4 zh2T1-I2?0y^V|#>VNfp6BBpox)qQ(F-J5jVG+(nNjUVbSk1f*ANZj22u%_ zIb-M~k#gCGxfasw=;A&cu{db+({XVG-fDAOQ*u+&rn{25x+lW`1V=c4NUyKzZMo`( z@Ga>K3r&u3TSKg{OQ#CJ+)2mAmUPIvl@$7i{qV#hNBjaZ^|yD%DpH`DiO~b}8(Dl9 ztDEf|xWYP#2+*=)e&IL7hf4fBK=2KeeU51!;7xXfat^=F!C`5(KL+4sHya}lH)0^w zc=Iql!x?fe!5>xSueaS`*UneQ#uusaB$O6GA=q{$Y&X)Gs}tWi+j2(-{++`xFc>Y3 zGydyU{o|iV%#gFhz-2NIXs@I|4w_dLUVKHf%5L++PKPs3up4L66Pdp1Fe5^zpIp~I zpX_owIJ^7;LKxUZ^=;s)ASne}QOK}|3sHWjR; z22Ibzt*w$Z5~xoD-y}taTvc%=YA#bRrVDk;Vgk?_;Hh1wmwKLv2sAq=ND)iLQyPIY zXxCNt9d=X2yRQ6@@w&J##Z$Tt1}+}YVFh$8ya4hNOHgsN!bc~-wjeF(OPUBpb4rt| z8;|6_>DIU9RgUY=(slJ3&Tncx-h%EBiwn!0m)t9#SWE^e&8GpnI{}eYU(nG7&$2jE z9Znrj;BnIP2cEDMv#kU=WI%5gr3O^WT{*Qu;oJpt{}UYoW1sUv+Ao{RTem-!vf8kLt?=U|BfF=d z0esM?zLJ4USM-4QN>X6U6R>4!V?iV$E}2`EEGBh|mXOqa3`;#dG;`A&1{%oVI3rtJ zWPoF`=-4`LZ2{d-o5Dr2idOZilJFpg(9*LC|JfZKKZ31Cp#XS=Wed)QaTU#tS4SnvrVT>c# zgmYslZO$(c(-Z2&4iu{_J0_;~2)MDA28nOQOQl3{vgGG_yFl+JtJm+Z;ijcfcTmld!$iECj$IuIqveX$jMIzcor@cAgPJ z-IvXxK?oB|5)O4(BDCFEk#sXNs(pH=WBg3xkfaEld{f>__{L)7-nn;V3Fdf|#vbA) z<{TRLD{CoWzIJc%=i9R_R7RxdWSO7h;-70s9<6#citwf~ng*L@;;{%BiIjVfN%>cP zqFzAhqJgOa-3r(|P+>{GISk0rI-ScI*g?q8@HUDxQ9LZ|t6H#boP>$CQoQO){smbi zq(jwg`nzC}iD~!yzEFDGUG*6_oB(`^oQ$?J80N_W!=oSoubEK`{EHSiZa^JYU-=*y zgv<)`b5<!1AWt>b!l;moPU(X0XKLd`@W_V;tXA9I;O zbwC%J-u6V3Tpq-k7I0_wjk4hVyy&1u&&-k$6$kI5|CCQY#S! z^D^dqU-9Wc&E2)1r?SR*ncVN@MV_Ws!?QRb!>^1l1JA@x*`FI*nH`ot^u2&MfyVZJ30A4Bz%0Qb=vi!Rl!et7a0z1{ zIZOkTC2tk*tY}dMm&hKpi4_tn1$Qw&gKVlJjSuh@<#~dBYjxx1%kLZeb3XRYcEr%x z;C0&pk|}V4P)`hS57~^Vl4Lk zXKpQs(T-Yp{N$!glK70sUiKZ(RefJHbughT+R}(OU0d%SG$Zhzk|=~5xBK$@eFf_n z@n_C4CzCg)#=L&!C8|HC;Q*aq#LaF>YHo)YvF>i$%`1vH---RH39!SHN1 z`7s|_gf6Yt3LPV$vFzAU0Om)~B-$rDp3ov^57Tl$L3m^oa4ouvP9glDc!#@N^;DvnKv&`!%ny zjZQCij+e09-i37M`ZgULiwek`g?kO{hKFd;^u?Ecz^-X=R(vSPy68VTFL?nJO1$~A z!>jEi0j#8%EQ+%4>2FZG00cDsh7lc4dClzguu~Y9$#^9C;C)nH>%KUQR6n9Kb|0a# zReR=+pK~6dW+Mh(AV%6fkTvivT@(yAF*}M=^(l3@reSCPp^qx28f`csiTQ3VQ&Eu2 zg1S-Yd+>37=5U1j6;0a7+#z8qSk_}81al>O=E9>b+UXD!vqK7sMc1)#K_R(Nw{cs3 z9@agA=UYrx)U&-PeCS?(sOw-~aeUhiB-4P~y3R+*tXxQEbYO*xt=?Z%O>p!{b*mA?HVZ6%O(K+IG)+*nficB=8c%V+?<5I0%QX{P4u7&twSxp~AV*o??&uNb8j^TSdQZ4)%aYsC{khp5RmDy}SADR0TXo z4BCHY%zLAXV|k^6@Q4ZZKe_2+AN~DaxQgTOBlz3YYaS-_*p&K+Oy4;o*(3^aZP4P1 zRa@7?fhLE+Eqm^A;iZ$@Eke&hAYSEf%0;uo?7inmGRbGAYorMxwtri`I@8jYg-s^r zz5{yZ>Ftq-CyAtvA`+zP^StQ4(q{Klg!q#}j#0zwc(01c7?cw~#Nq*WwHe8h`V>W9 zZ!@p9aFSSVw^vc;-#nGRDz+))#Xud=SdGn9_*`%%01Qr(0PsHxAmATz*Qp=d2zgNoeBjjQ=!}E7H{F}Bh3Be#ZG-~B-;F|bHNWUD)*LA$G*Ba-QWj^ z7w6h@OJ+?sZmM?GT%Y6x3E7v&>OBibJbxtuljy!jxbuN1RSKtoan^1 zHSfYqz(9)I{KIf*jUT`)0ccU~TVSeFnvfRJLLAvp=UcdV$Bl!ip{X5Z_fnBDs1r(n zO1drC5uim_3NqRa@5vv=a}O@0+dtv{1LFHwpOh3{F_BYVt~nFDwDlJLg=XJ_@sj<_ zPJb+$T?aKyS_qn2s8oQ&wG0P9?`S>{?nXIFOY{8;I3g0Bjv9rd&6>Cr)_!3}L}+S#oO@#n@rbMg^yk_Vm{+-RxHxzF+0P5&}>J z8Qg6Sl0iYwHymoRI16BRmIGr)qJMqW9LJNTFupmTXqK-2>TL0#`obw;>$Zv*Az@_S zhdEW#f-Rx=U5%mFE06AsEA`X*ufO@`8zY9FLDz@&EL6?>Z?a!V^99ffDOZU8-Ig$Z zkrHMbC5100asrFAQ|1{F3Y7#;reu@iR|`fHRU)Ah=Y78XlOn+JoyZzUc}AudJKh5P z()u5Nx+1i@1@8on9rF;r2geg$wa;YwAQf(e-w;T6yB+RmVc(L=uj5o=`})N zO2?avAAtIkZ;x1@9@*F1oC({OaF8YANXrXYdj^&Ppuu|vj-2IECCgfMMain71i=uj zvz+Lw9-K3d(Y&4=o^^h%wqvikn1XdU+d5&yuH^)r zJc8cfv1w0JKzF%=n01D!$N}L%7YYrldTZh57g&BYrq#*D8KQ-+JL*POEXd^jnS?ER z$y8oIs9?@864t?vqDrq@JRRdb$yH{PT?4A4t&}VzA++ud1 zaOOCxl!6^Q5h)Z&4AQ4Cd~&T#zS#gag-2Mvq1s{}K5QRh8BgFFxH5z}?~ko0d=6rZ z0_LI0o>FT9;^y!6RXK?QNkRfqDSd{ZhApGCob)Gvti~1&K%wVZr=sXY14rHqYs3M< zXB=iYiI6659jm&)BW=l&;2OJ1UJRK+u@eJl+=-tut7vIa=1>`4D)`DW#i4}w0Maj> ze5*S!2+Oy^q2oxr0swbYIR0H4pF_*XC0nIiQpQ^~NC}@xu0s;3MeL*#ZEpUxZ(Yg_ zAH@8c0)1X-P}~T76g@>2*0=)ep-b*`)g$ME(+VGjPk|h74o3!17eg9Rn!q%pPU>eV z7-^30MZbVzlXoF=*7MCoLxTK|-sO?>XOSC;>Id+}sKX7Ml{8 zGQG`UuppvU^noI)zP8F1aD+QPQNfd6l>#IzL=~_Yfcfc>KR9smDjx9W zgf$78V(XIs8*q*>M`wob>)Ey?U2mXE<1i@oU;fF~;CqBEI(Yo@XSL|QzGBDi-qNRZbKxFT^7I{ zqLtUOC}9~Ut$SZOoDta50WIc|%oP9k`(^CE{DTguRs8#I*_{7!MbYv9SqAiyVnW5KP4Q||22+M~Vx0q>(DpCdagPul zGwD~GHOTy3%H>)Qth2&>-FCntT~v^Ukxl_d0%?NBlRoE2pS&*?(m7GN&riCww@KDW z3F_xmAE_Y8bPv23Y*4rkj>ul-Y%rBkyyye1f4RtT1Di?FtMslkNsaVnnix8_shTLH zyAvokq?nwM^h*^EH}yzG!rn^@Kt$j4sG*x?zinaanv>#9UGg!2c&{uw4z+sRtL4nF zC_5KW2NH@%bX?tw$&cru%Mu@xe?pYd-HG|%f2NRxg&dkx1l&HhMs$^ElHMT=WGrct z+Y2YC?%~)G*Qd%=WF&_}egX9llXqghKqWxZSr&a{o8~F9KP2!&;OTL~r0|o_u4PAVhzJNr z4FQ`HW(A&u1UOa<^yp?hxG@iIjIj-G#y0dBOfY;X)^~cSv{$>o;wUmU#w_OfX(nGU53n9MU1sRWF982S< z=fO?S0fv(xS`0fwQiaNo{#w6O7i101_i_2?eu4KGo3*30(a6t7XcoG_&s+d@e6yKys#AZ!@fWSJDae$;RKDyvsL$Bsh-}#(Z8F~l|55$8w zQIz4I0sfgqEFg@YNQHaKeqr&FCLM+$Dk_PdjWc|dp~j2_WGL!o(G!V%N`GNp*m-P} zL3Oww0!Eq&Tr>|dV$|b3xxcVZ)plE#(m1kUz#Hr)+!PlD>Bx`hUx|zIvG)X=IqFfF zFDn9@LJYxC!hLeNl9b0L%xE0A6yFw$_PHEf4`YFQ#uf8$JVi8g*=>(vvX8(yNdFAE zikPuIF%~ok)V^O>?KtSsW`=IhO?iOzsCfdq6#*#gwkHUA;s!1ML7&sMg7}+Gqz(^J ziuR@Ob$6Q)~f(a-9B@z|+PM9ZqDuRCEW{O6Haea(FlX8d!j7 z=j$1N-CgikFke$~`m^tYbGHJ~UiIbg{?*_5-q}l= z5cZKpYL#`77l)}!e#$}VE@ZeCKNIMd`59V;KhXqQT|4#FkNK%g{bAoWuX#Q7$Jb*N zV2sXW`EGMC;h~)fh(rWDM29qsb*}pfGG?%cLKq$J(c;ky&wz;ddNql zC{arTc5SC3#J?{@VP%)Cl#M)>29&`xo{?h`BSUm6GZGk`d{@gCNSX zy+>seI>l94Ps(PuW!1AjRs$GY8Eb&9T%VuXq_D4+NodAwpDSE&vPu%O)uc=KF?fgjTbmGYq~AKxpVsz?Hk_v@N3-@`vFVnD*0W-d*6W{OE} zrcGXGkj2tZ3oVIaUloj0!Stq}AkiP87cg;{s?_uGp6HrovzxN=N??pyhPejxxRi|5 zrt&7>i(=g9Di1<|7D$Cb6oxoc&0_v-v0x$yWTs?QHg%~A&NZ0I2DfEB=k(?K?$p*& zDJ>6DHY0#UnFXU&KES@p@f4SGn{~irDk~%if+%&u&@3O{FE6Qeo3i=xrvoN8lsy%= zq@y}vWJ*ZxOW;W*ZMA9y{|5UiOYm+Oo2Ao5R@k=P3izD3iq!f@0%EOuq6G0)Py7p!e!E`uZup& z@ZlX0q@?ME0o*f2(M%V;O|wZQ!!Sv`BsCJQVzaVEB2p&)Jt{y)xshoV=o0e@YvvtB zlBXG^Sr(ajR<16lkN{{9n}SupK&5sjboazYf|Yh?`FHYeC8-PDiIHV#CP=wv`_@T2 z>^I= z@~ugA^Ickh|NYO^W7X_#b-H%)(*oyRuw{hTl>K)Fu;7{E#ojZrO(SMXuDKE6rc`!C zUm?$4K&pHF!a#q|0Xe@AUE~888UZQ@7*3$sw>!9XkR zw6KT#RF{MP*IYk0U^4&jwLys1=+4^OG!#eY@SN8tgk~SNfX4f3-7c3$m=9d1eYvxb z6XjYxGGO5euvSbsqU-<8emp3yevHJ+;^M!5K)2jX=A&y*RnIQ!{2c?SN+HP~Z=@ig zYkR?%N3i~ZnSmtX;RQD(u*U{r{kgm`&!ilI5un0T3De456?i?~_`$UeyxNMcBk@u8 z^Q+WdSptyOoq<>ME2OBG!vRSPc3oa7YHSYvIa>M~;o%;t6CxwFfMt6uHldN;)#a&z zTdgb=!aCJ+J%QBx(C&8dJ-;OYyMRuTvS)_(zOTsU8bA|G=S$nZT{$Aa0rz?s0fUCn zB)WRq;_zUeNCi6NM>5MwfMr$v$&tRB)yaRKfXGdo2?&rnp2=a}yiJXVhOLd~d9s^x zW^Vwb5b#uK+tqU09!o%HJ(g8)z>s=+=p~ItMZ=x=Sa?)a^uMD3SJN@KNA%p^po4s~ z=*H~;&_T9^1~9L}4r&K%`e_SgpLmDKD}J8>cm2eXqt^n_&j z-LXV|3m%1)Kmn@)Oo6}r@^)pZ@%E+3G16NWB{mFTwH#(r1U%co;Goa=#r6Uol$Q#( zdX<}N)(1`#DJaV_m-aZddCLn51c;!?S$=nC11;u;A!}D<$fkzhGOvODzxv#xMKvoj z4_dFrMZy!1Lc1!mS}exrJ`j~?buGWwII5~Cku-%i=ejL)x|XYLK)N~UTg%T#N4ntX zHaCI#nkLbnQqytKib!MQ`b=7#EWf(98y9nkz?pDahRukA9m3{1BE!*NNmr9?G=f>D zgH=LcyH+>-rjSKSMuwx@{;#Hr8u z0$xIMe9Qr0+&aTmkk)^L4DT&IByk9mMV|RH=i}}h00=a=H7_7~zVm5nZE+>pFqCcw z!FMi)l2%kR4o+r`$1C6i27wP?FYmUJ^)TRDMFj1;RDIX9zqRW0N;JH9H?pvHfSiI}; z0np>r7$4q2uqH5gEAPH`Jxi?Yh*sqJ48-s(FbqxmU`QiLyhgB94V;Ak`6tTnq@E4M z>oi=?rD*)56dJk`9(`0;8b_c>CAq>UH5erFE!l}%T9^pi-RIk?6IREzC|ZEb zo5~{i8C4wN19>g8t+pCOj8V5QD%F?axAPtPV#RB@7Zu@1KZJ_Yyco~6UKyQpf+btM8|h%?Xz;M_$0u4S|q<)X!xI3H>}6(e)#wi3Fd(~Le&=;Msx z;>nh!bFsbsRA3krc!vL9-rg=&mgG1SyBvw~x?sTjZWyRVfjj3wGl%v6bK%`512$kl zuYRuXuI{eeRb9>c>AroiHmE;S1}zD;xP~RlyE`jUURt0ni?Y0;C=t;0_{Hyj@{1R| zLlS=7w*_p+7m-0hhh?rlq$C zxZ_~>%c5lACcIvHR_i;)H)v08YZeiE(lLO6DUloa6%iX54+E(;eDSETr9jW<{AsdF z3vE&+(r<8vm5igBR0G|ZRz=t((5llJ-)n|sb2Cywj zomLJkPG2R3%p|mqelIId!Uu4<8Atb}3ou~Kaa{rCe#58|xbZ47vJ0x$oXGjSry9Gw zR=K=)CI|6m{GH&?ZCdQ~?Iv5&uQFkLR54|^lq}3w=03}L z0sJcW>TEVVGGpfMOW((hLR$eGs?F%QONVk=|4jt47l;anhNfn2Q1zaO(cLmS;vz9uGJzF(77L zB9$3!0VzPdYFsQFH&zR8WRA8m7G$u|xSuVg5O!U7HL+J!XtXMVdkf7tBjU}s!aI0_ zdbB(@NcUHzh(w{I@EzP>U<1QZFh$04G9fr_#=C=;Oek1Lz(wIFlmyN*&Rq!49D_5S zkmYoQ(dyB6aEtK`B;;H1+rR){D;svK3;Lw=XbZDm||uln%bOpst%JEA7=lMRwvi?QK2Ia8+cv^kt;9#@bOFP8WTon$hOl!E`N zPpslwwV948vF{xCH3zo{F2D&U)jpk<{Kihf5wi@!+uprdy9rzR=16<4USXtsOI_#A zg;P!7-42eY5gbE(YO6eesEl`s8_c;(M5P^cEn30aW{E((o>95nSnz+GGiZ?0v4FkH zLhwllgCniSEEE40sURgdQUvW?GWvVJ&`+R4)#NJNO#rkOoKox8O8s z6$fh>HJycU4l27EDUPedaBI$<(;hNbE%Ks5lxe!nTUESjD=F?K3=ze?=5$h_&1gX@ z!o7hsx4ZPd!)B~F2Lcks{_YMtjjRBXzS*`79Xi^k+X+S+Z2@`T9M>K}cOfNV#NoY2 zooF@~oW?kJbfhT3fX*SfGOTFvq}s;dsu3>%J31s3%c@6(B+>?nr_ySdYdR;<&4eTB z&>{4l8fI2xz5#&43P&Bc0VP2TdeI#^bOy(pIyZN8NZX{Dl;^9RK~nmHk5&Qdf6>u_ zln$P>AGF;u%Y|fg+sIO*dITiO;Cxva`x#9B3w{)+mx%ju-AOOJa?yTrQNb)*l5dSt6$ zui;s6XbjS2u}4!3_~4mx?9!5TqhaW~p^_mX7!Mbnl*weQ5FWGzRaetNHt#@rV=m2G zORQZp#s$_`v;kaOrz65hm1jWpSS7OIyj63Vn4lmN8!DEtW&>MK_ z>Y-}3boe3xRy-jso$(-^t3kg)?4e*eUShF2=<<4+#2k(}?(?~8Q!`gfjyNokrAA1M|vQMdf2>bdV*xKI>hjBWw0Q2@Gy`!yv0zGsP1X+M2OEu zmO8=RL%hjE*>)8#Bv`(su;Yy76f@ZLbaABRA#Z7U=-CJT48X!OnE?YxV^PuayYEyb zo)#|F#U{=1jB0F<$)MY$7IH8mZ5qmr8{?ty(Dr}%3w`jagfgismb&AZfsf7Zpl@0d z$>R}02j%q-P%jc5ImEFs!T@boh{(-~bt>Te$kcJWI%?QJV=oqg@PK@U(e%&pCo>9G<*6?~YTG|mI{e$`a9pj?c}6VBq`j4O6; z)%^g}Z#njL`@^}d!#ir$3$@6Gt56kx>&C&=vqq*I8Y-q>=mvSZ2@sJsEQrTkA zBK`RYYiFu*Za>|g67uiT;n_(%lEwn4M?g&COK3pj)sStv-_n6Q-77qnYX7>=xO2WT z znAiCE9Ah3JpJai{51-qK*1FurF~|Sl1MTE?z%}#yfUh53IK?>5^tjwH_}B+Kv{`Pm z{ocA+;n)vgMQfK8G%-_s7NB+Xv@OhA!zFDpZ`O5HnnM)KtwqPb5V6$tOnQzgqTjslMnj=?Kwx(n7k!FZ>vjieDE&E-AnX|~2G}%f_Gf;o6 ze8uE&l!`eMGraFKt7fECI=JREp>f~HSHaRF)e5jlbe|*(84z9H{Ba?;R_TTo z7_>-<22P1p*XAY8mzyrzzxgiK#Yww7EhH6g(<437Q54xyZwivpCc{1VS-?lw$tCB6 z_8FL9j!F1Cz($H0v=uX zFCArW4g>}r`R>^j!-*2llTcAcE;8U7(`;$cBHh8#fYe=9k{IcstKWQ&vPOq&_iv*}W5Rua0>RYb2D2ZX26x)X$vt%o#lj04|{CXSyt zh%)9h8nj&+2OwdGkspV_ApOv2*ny^QAqJ1OcxtQHt4EtIkts29eK*oI2lO%S$T(%D zhu-1y1fO?H(tsj|yMpISQ>BO7pPL~7>Oc5O;oaZ>;n;>OJB#x=U1pfyjIaohdfH8q zvLwST4+m(CzLSegoeUQKZk&;`0fs&851HAcc>>E-4nVY5n73K)3@@PcKLCIm#wDb+EA}=6S<$DUd1Drb-T%4bE-;EJ4Ef@4V8mX zOWM1G)coXfpqSJ*OP>xzLx<6BCmNB`_CF;Z#)^pPD3=WNlA!+7jz%LKMUQsfvA4EI zOzd&vA#z(pZr>$fk~}=*;DGMOBb8y{1vYbVs2T3hD+fWqbHT4buCFDaK_Q1<0jN-S z`4+7wxPzBq@G%lVw%>GkGssFhiU5p8BL{Heg+MWwB#V zk6QrOlDa~M;xdKj4=oexz6FUNt0?{ngK*5i9)V>PSObu2re_cbfyDDq7{reKrO$HJ8BwrX0et2>Kl9i+Zd80olDH+ECNRefV;dE;MMyMa2oQ8-fes zWIA}GlvWINGH72&COpUGPv`-RcSU6dwqve-z_yAmIQY}yoApHz$01qJ9MV1|4#vdc zH1+tpIFCj@Ar^{5IOY&v>9gFDPMaTxVLYOb6umdf?yDitoh$N>BMf{pkpH{?+FWN6 z_D*r!YaTD|os*b1iF4J9#>WJ6}c!&GyZhqOyfpL5YKsOKOUmuCIA{} zaEGzE?@@f=4nv0*XU?j>l64&!2;W9F3gvC%_;)U{Uf3kabQ`c>E%k-<#Mrf6$*Nff*}FS1g3-iS%?2$3_iG#^CNQo@n{Uf&KLmJ%aMl1Lb}5@6!B|pDWsL+U=Rd zQ!mcuO?nH$#6pHIP0KW-wqb(C27R;9Vi&qh-O){6APDmL9%3l4Ju)46PxKrO_r)ML3Y^BV$Py7xRz?Q`ypHYLvFw7H#@93gCzR3h zfz?%DmwYC1)Xt+x0!<`$8@nkG8%b>bEH)v{Txw5 zP-IC6D3qLH5CE_=h=xS z88E&SNg_B^bzaICc?`6NOW|l--W^xr51j|_n(IWdDjxNCUc<<+wp(RYagtP9;g0!{ zO-dS%iTn|fz-LiUc3F==MT;Ef0@K7j{@0YoMzS5aotI}+r?IC(JJys*kNh=lqSM2L zNfJ7u@`EH0D&Ow$y2utu3yt_!RvDhUdk{ILZ^@V>(Ij$+Y4ftk_v1-~%T=audQdJ! zq1J@2k>y_Xzs_EG`EpoZHA4w7!tPjC8-}Eopbm+H`e~NDu(FF;vzp!<5C*iC(Qy^cg{n z3WXBM4sV8WC7=H<1BSdnksu-$O$%V^k@e7A$)#m2Ns#6ZJ5=6|+Q}M1g(Jy$$<4ks z8tQO?m#Q9*GnEQXdATUE)tEoVWmT1U8l(+z%Gp(%0~p%~Zpz3ix+gn-xy!*Yd77aQ zz~D(!`CswG7>VW!_{%5|+9`ufHf!5%5D5B_sozCKg!wJ9&|VQ=Fwpx?_iNz6Yo_iO z{Tu7!CC&)~rTSc9sq7YOK?WNOERwNJZhM_<;E3675#(6WghCAt7N&I1paoa;d)jfY z?>IZNjD`C7|6&2aeI~8bgVI0eebvQd?5;^opZ_nTL28C{G6mncg&fE^RsaL{*I9GF z10dAulz#ea&F;B6)zIEO8+%vrPWaN`%XB8p4tZ0pGKsNB8MgqDkxfw{;t_AP7JKa$ zFo5?v3jm1fcf+}ZFU&L$7}0NCji)Lze(Blfp@eG=qd3!%I{*!EPoAPdj0!_VlSK>~ zMkjiTC<+Do+PA_8ME)FJ=NeJqB0R^uS>-EE*Mzsbd_UZBz*x{ZLGJ7TUiweALn4T1 z$BTRrg%fO@YZPH*>z1>KA{;`WAc-Bp-nK#)Br!ldu9GB+#E(%8UQ_%2@IArfRAjp` z6+gB+cer>OuBVM;fO;Dv_eptTXrp8t~B=`Z(5xUlz zrcut59H0n*8pz?{Wi~nTB?Tika6j7NAkSR3`J#D(IC+qGh3qmtfXSm=-0(pzeG@_dBj6pKuGTngF-W8P?_qNZ3r#wM8otc_*I9+mxH@6fgj*tW@t0IQDOI?rV2 zKH9h$n%ih(L~un>jS@({Ljz~XZ_@@MhS>0MY~Ai`~mY>^4y1(J}#I}6U0 z@4$2h8@EZ%;`c4uQ!nZ&1#IOzNHw0r#*MrGeiPXZE_mkk=g`DC0^O{Q?>%SYIg(s@ z=KVq;ioBmjU0~l$Tl-$Be}R)X<@vtKbOELJxL}`Hb*G?pPpxdrC#L$88?J}(l=b-* z@e8EBS%2SS`p_hwviw|2oHs?t`vTTC$G$-RYqtx4dT1s894p)$R`841bY`f7U)%;c zhadbRES3wP!Y^*~h#%$rUfMMQ9{gg~x(V>%7qNBB&=J2F<86wg`1$utchc=IWLF;{ z9e&>3GM+KJx`e!&tv`ig{GzsBXVTIybY%jr@k0&%9J}R+=fm@7ELs&{*ME6&hC*ny zK%9OdJ6tj_{QP^{`R87|SW>gBj7Eaa*%>@piAMwP#aaai(J`C)n$vf*A|U~IeYTce z&2F9wZVezIeTr3`HMPvreFI-tYB8Ojb~!taG)CGr%k3#|fu6ab69!--IX4-u1|$%j zz0-zReB?TXYwJq?bAR3yxRo{WYJr#K1tR(v*{8qq=?^nRw#ltd)JNL0zgUKJdTR|= z;d|C5+h^=B2-)o6oIS)_sG61}R;sD2_SNfrl}#%w(^so>pY8BwgbI7i0fu2?A2;

      %9QxD2$0F~5`aet)Yx<-?Q!T8*Vk6a<)Ayr2$9Si1!_D=H#_*DHw`Xz z>C=YutM)NfJWkEFs&M_tnYL%WKc;)5Nne%ur=PSLrZ(^(9|y zegDzVsmrf^=HO+fJ6K2oKD0dUo56a_)89Nmlc(Y>C8Inxr_tuw$`P>p{0p?QPJ zZqgcY0QfHg;Dj-4*Ak8`zJh770qPa6XCIrR49k55zKY4tyH&a(k)(BYKdpo|i1Ugg zvO56pA#5-^t2fqA#pLdn=`vlLRdFs4`BLFip0W7PYn9ku{vjw0tCTYnr?Xn?YE|c( zF1v^0d6B&a#2-UsNuF)~sSzc0pf3lvyS7EzMQaz(guzMi+)r2{X#i3i3@9_w6~}+~ z9t~ATv#LW+RV|IDdK-XfVg;yPzg7{=-ZN_KUmg1TLdkx!rSl5*u&MC+UO{+^1wa$a zMY`N7uL}8jtcqi0s?5aDkUn0TU!*-NV>mYTQbl@CRj3Zls~C-s+h;>}C*$L3Wy4-c zgJ3209mj^YIt50Nkyyt<84d6+{TnY{Y>>5^=M+0#Di7`)KCM-bdu9He=DCC)^ItM4 zntm3Vm(E0^WJ5^NRGiWd@wpCT9VB#wNzZTZLP49AB9rM)W)R(oH zcupjGXaqx@3AU>|-KSQfU}`oQV|)YR6G1pP@NAt{=z8Otk7008BeeL9r z5KmUB=u)Hk-G3_m3o*oVDUd>_BvO475Kzi~Wkxbi9j5btA=NEp?pse+cdh%6PG&EJ zlO0z+NqHu?9Be5#wu1P1M)mHM>g`9Ww?jmEO7-KV%oznqAa5}bfq%K0MW1^$b4m5Y zO>3Hk&C{^gRwBDfV4dE4QgCVqI%|})5ni3%@kRX~nHL(6mhib(Er@6kEQuI!ym1~l z6{KNltf4DQYA{>bJ~AiGp{g%vl6RXR3GIH8YZTb5L+hgPdhY;*Wj;5xe`D(yB~j1U7E+~B)g96aPVl@ChX8cI&jv9h*Zv*0L6 zjx=v7j_VMQ@hrtrU<-r?%!rWjy__gOMiVx)oXEujOqN4t=JcT*(w3jCGDb^PJ|AWd zCI@)-=GZ$K;me798?Ixp9985%W3sOtf|XS@NzWR*J>Tj%9(ywIuJ}n7YUBu^W3ZD~ zMYh5<{vq35F&UaoMx(p{K<<^_j6Oc%l1D5dT7W%yoCl{Ayw-}u78}}msuiUQBAwHV z`!jZp$LX^ozfTugi<7pCo*(GA0uMpZGK;{~f?NI8*Q!AS6OxhPNP*LYXP0M4(w;T14JTe<*~@KO}3wK?3+51NUtH1 zm6g*Xr4D_%$hf1PG_rEz;vn1HTDJb zHH|}tTel)_nymLhQ$oLBuJ8t~v|8{YX}KnDJAlsX=yUUsozuxE`U7Kih3adrJcJF| zc{y@6BhNi;@!9?L=`vPn_d=y{uccb+DrdVEk4Jz&sneCY?Xt6#=E&(t6a{0GevOXF zv{r0$lhfAlwN%b$t>{V*mhh!DwXZ(=h-_)G+4jk|wI^@y|ENWz zJSO@oSn^kDIFOZ4;SlrY2V{cKB&v`{1!28#$JV+z8(B;s#o2pM`tKyA2P%>Q33XKu z%4x-bt{CEU$tYWZCMP?AD$2A$`; zJqJi+QirP@zG065tYlJ2BU?wlcLNj0G^pF4&`!JA-g+O%^-EEg3#g_$T7FLFq-ti52qDOiZZJh zm~%K^7v?_SkllBGUvbS&L|#jJ+Vn+-%?PS^vR%|wP)Gc`{cEylt; z0eYNb?gAst6vdk|5BwSPzMPCei~*LRZ%n?zJ<9+%!w5Sbud=it^JUgpheAZo0RUZB zfvc~f0mPB^CC-n5Te7w~A##Q44I<2lo-0@ByTfFl^9w_oD3CGEzB23BY+NpiU!4<9 zVC|3=Yn7R_#ZiCn)7fCm&Go2N_&NH$qB!VWJw#Y7)gA1)3 z7roA}KcpZ}%687sn>BG-_9{o0gWqWDU+^NG@)|wqwln29FFoV>*_U3t!0RHvVPyLa zlAIQcj!Y}s8D9%r6JnqZ{uH@_X}_dNqG^JcbjITwS`1jzwX_vkA9ECtLECy>;f&B) z{!2Tck1xL9(?C^LmiICk705YDAl_xtVp>&Sgw6%jv&mkcrOl`?e(8BcqP|r1bPdg6GRL!u#6~*Tce%)qz2Ir`@&z}I5Oodq_ANCa zh^@WCND1&T!66q+ofyCTb1z<`Ij6ql;}i|H6UaH#V&?qmf{*yoZ*+2bfKl}Ed0yV89 zrofR!qUcMmG4uJ@OyFsw;8&3c2(Q)Y$^6NG|I2TG|2Kd7$$#m^4ec; za~OM{*^x3>3tWcKq1XKBkACazAN}QLzxAD;{Lyd2^?pg~DybdkE?S+h^1+<{*ktDj ztANu0BAnj-kAM8xul@FqfAE8!eCr>B&*Ob#R|SUOB`XYXRW-lzV$@dVXFvGuw?Fz- z64PhD_h**>6f5LR*fR(&tUkQq$Vs^74w7~K_Iv;Qr{DXdx8L}|XW#xax z<5-d524}@zjH0H2?qW zg@Tk&Mz19O<0zs2DVZ@vIJui2+yz!bOY$P!(XH)kxWF-DlbX$&AIj-?y#$I6WLS2{nMUQ> z=15}^+UgVah$yc=*p}ImVan>cY#jAohKnt*iQk=#MB=Jk;|aqA_{saV#vWS30o(TH zVdDYH0oQoNV)34 z6KEMY_`c^zdHQiD;Xv>3Jw{3pD0J3#j{FYaW2D#{NWE-wdQ4*Dy`PAkUT;E%iVCd- zVyhZv^vo$PZWFeWG2h9D(TLCc^H{B62pp_D7#E$ner)Yg-jet2i#JMM^6tt$ERi~e$@}ooW6Oz5;H>x_y>ZpF8xoqlZ*S~T zT9bFzc1O@@M#)XyryYTAhe~nsK3e8z9?GHn9hV_Vlayxd@SE`;)7ibZF!9<8x8k;I zthCNjb63(R9I8X7@L+)h+cl=b0Wr#Izr^GDA+6~YXa%u*N7ic`(-!2r5$xyyXU=9z z$Mkfmi@9EW2N=VcMl`aMp;#(;LC(5h9C>#El5x`EEEyGCRBgj)!BsgAY3za5k8t&P zTyeVGNq!aG!YICTk+&^E3XNbW3G=fQX9Qi=q1u5POuM`5*g;=(rE(bq1zJib99-{* zh@y6fW(Fi$w#sYVo;7`LYPbPd`wExTj+NCXK-p(CKi!K1C47EXRcj$P?=qt!xgXvI z$jpVLu!d`G@~+7a2gUvX+NkvYA8Bd~yZdB%C3;Q|yfVDaJXnF5syd9;^+ zkU~YPCfn;I07OJaeXNOm>yTG%ZEmYqyOjMM>Z-x{WkctbopyGOUfRxGVp}z^@6SNG zIniOe$c}gyfiH2%og6-#rDTX+I^G>F+>HP910}damhO77NiZ|gx*rwna0yJns?7I% zNW-5?ToRYJB-cZ?U#2@G)FpFanbrsnZ|=>*na))C>J~m;NROJQ4EzYZ%Pb|8jD7h5 zx4RM*)6slQjksFeO?(8ileRliLZVf5mMJ_|(+8@ELZ-3Vg&Tg+O;h*ykBpe>v0`Gr1y+a(VVLNDnC{E12hg2ryv_4nWP5oKqTe7 zPP+$62k^;G;4eZwiB%22xvr|i10?Lm9pk*|!V`9zY)#wDF(XS6kAOxa2a9dFy zyr`7ex)SJ|S80HLVZo6SK=_V;Se4xaL+Jrx&Iy| z(={~or^nD7#s_~3nb-3Jt!#tOt6)kFcL01n%Sj*db_u5(mEDDE^5wdRy+d5!$pG4t z9Z9SOt(PiGq9xGnR5KF1D5_Xf;Z9*djkRbiD@|I$i)>8Cd5qb->1)GjAIVbEO$8XO zRkloX$ut*jt#UyUPur(p?6wskVucFHR4hsG z)wj;WwlYu^oIPAQv~%ksBq9|eUlaM$s%TBCv#wxwYNp{-txV%OnkJgku-MCG3-5Eu zZ`siNa1%uqJW!Qn*g^VsMuq3vXm(uEh0maKdOFX3Kpxje8SRQKaX6pIUxVseb+=%D zFhC=%Xah@W2Eh}LW}T2t)T$?2RZDYO^LkqJRK7*ap-?3ciKWWKIjkACGOz+i2wi)u z`^$U}zd@QccrIIA9#>^TGY2rt}?x}v?e#5IVN(j}uU z5>h98Xae9#6>$liT7D%d+zpqMK30^`1FML*oFG>`t&}I+{;5%SJu6BSaq@t2UR5&J zw_;ZaUH1XP1*7zMccO}xcw467QPxMIC z&99#8e4U!|l7mP*3GK?ok^}V5lNxHEme1yt2#YdoR>9SFU_<;B5IB)bDtpf*jMEm=|A`~*}(|)s=9Vl zLDT8*m2TJxjvWW-EWXO%Fb0=`m5Mw)rgY9-ViFzTM$i5U`n&YNbBT?3ohOl6t@$PG&7apB#?MBjUE3k88d>k4XNWG&1!X5zyRGP)fM}M6J&&Ef(+Qno zGmhZHbC&_XfK86~i8Ul$-y+xH1YZ!`X`?pQ&5`e5c5B+&;mJWlM*2UjF!^Rrd}mZR%)m)gb#qaj zaeEV8VO|VDU04~{>=}Y9g^!_RuZTI{TM^~<{z8r@|Nb!NO6j8lXJSTegq~!FpjN< zVDsjOd$AomxL)S?BQI|+igTqj)j*c^nJ?MxjRyOk)OOn~2En=Rj9yJHqT}9kD7-A- zV9t}^Vr`l)IeJi>G3_d&egDY*^jXefJ+L!ipU}iH)$&GCr&G$55FPq@pWR{v*eF}1 zU_{F`Ctv#%6)s-Dfoyv`>&xF4AgX-<_oWxT3_`xUS56Mwv{?5XCRZgeFyX9TTr!*x zS>b`8-=|Vf zRq9(havYaNNSm-lirSCZYiOBWZD^n*Kb7@1E1G=21OE0p-}Alfn3x32!xnPh!)kxZ z$iUvJT6=_7*e@Lba0)sQP00gW$Z4gj4sb}HR=+{y7zYjE3j36;vi)p~Y_30gFLC+w zzffQ6dex-r68w-(YIT8f%Ag7FIY^G8o(|F?%U{8;(FW19pVZP{(zoRkXFO}-i)Yc1 zrY5^cZqyHOILvAQ+0c7ah8Og3XC753S1(7v!d32_WghO)9?M~Z-4zae)i4( zis?Ly&Z}MoI;W@e*sH5ak2xs@+Zy<@>I&;8-}y&B`=9^h$3OZfKmO}Kx5&=-ZT!SB z;f@YvnjX{Qn3)?|F6n5R(Hi&JuYLQoU;XvBzy8mD{GObBl>q-7tCRJ!?|=X8H~!@9x4-?fZ~W%l@BB6sM)--d$(S%EqX3u^ zC-Vd_AN1Dx>92g}C*LCC-~90pzNv(QpDrkeA)yU1V*~a8hwh(z>wlq<{PACW^QYhZ zBQBlraCo5cdYb=3Th(OfnWO|ui~aX%hOeiiJR{6D#_=`n_e(Z@c!6K1v;^Ph)X=;- zrg((PttHT-E=qD-`<@ns2fkO{;IFEh1g*-{WuXe0O`pg`N)(=?xr9a$2H@1e;rwBhqb7*%#FcKFYtNN_;OrKbruNIWh z)dQI{e66mh#&$FcdUfEDdX;YaQQ`O%iMmjV!mjxMmUu|5cnC zQPQY3kZ(91)ro*Fy6Vj<1$NDvEce%BGIk{+bf_zE$Hi;UP^CA@?a2a`TV(%AwKQz6 zs&to^=Dtd|EYH#RADPo8gjb}El-rJKgg()N_Gr=?8hzhG3@7RO_Rv_9$eJ z>jtVl9$ut|_Czq$mqmU!z%GMSL)QLmaSM~aMBO6`j zSY4ZLS^wE(GQO^e6OBk7(}<7Ex!i8N3pvo@6H4kVv}e5PL228%%3I8hc&w!IY`g6? z+pG~$%vL;i+HB~=7LcFzGIrB9M@+Q-AQIUzTu8OMJ zrq>kja?^9*S1C=2jsK8N{p=!i$o6}Zx+%eSq-i-GK~H;tG47XJM4XdlRb<4;*Z?15 z-&)%Mx1gh&Y7QfH!|5k1 z$ER7XkvRgy;`hIKopih*yT7!yiHlZGD(xXUg>t}*1!0{czlgPs5y3Q}bK;Ax+LQJ| z?N($K#Xw9O^@~@cS%c#_rMR4KZ8}yb^X^VM5a@>zO?uvP@|LX~OkWbNlg{K+BLORQ zmo)Q9;&9yNf9C^riz~o)H0xGn-Xie#KzfU(z% zm=>A-^bTzODN1~MufH>SxMlN_Oo_IBMp4x^^_QRA%@g;87`Gr zCn1fgO>5R zS_v&W#{d2EFJ2)1m^ID6t6slxoM1F*br2XO<29TSSWw6q$VoiS?w+Na0=a`tPm;18 z@j?a7(x}_=Odf_jz$11HiNpNTnigzih}13^;3nI%r7l`C^*A0x)KSA5Lm1hb&0xfv zaIVFq>)C@ z!$|v@Bc>XjUGo;MUwO6$LvgmV01kOVo`4B6S4k`!FsU8Qjf|?JI6Li^6*rB&)SPJ_ zJ>uX7u_4j&@}Cj+>=?R+*)?P&tnzGA;hwzSh&3t>7B(^=7I*^a8z(p9s@CI zZnRNy%BmXoq#`&;nLM94tQQg{SE$v7< z9E)kYhW9#dl=3E{9tNC^HlTSHO~DS`egLowgW`mDTVl(8X=FGEmtJ`vlc{q>fmbP_oL@UtWmG_ zAFgn*wNLrsCS55Xm@)oB3OhU~NSG?8 zARO?cCty~twSb|FywD#3NG(0(DtJ<;u2uU6;XZ7>!POED%PMQKb|bR(Dx(6@Qt%z2 za>%FYl))>4onr(sW{r>*OFeC_>oQii9cu4^@Y9fWwzcG#p^G-BeBGKl&x4vn=FJI|aFk2rk;Y_~ z5^gljixb0`Nu#&N$QjxPpZ-K)GH>umH><9I{g~p2rS&<$9heHNEEy|7csv}c?(bI+l1lf%7*ltf? z)j8%WJ#+f)bImAgWyRQwtJ|k|`I8(%K4%)$%sk=dDQ-5{?K8}3EHx&_tW-ICQTMCt z{#YUAPk-hH9=l-Y1s#HD*BiGugh!3aF_A>n{OD@)X^DD=3VpKJ=(pxdWg{0NUe?LL z)dF*+MzXEA$_O3bx zL*oNFlA3TUWfvi9s;J4#KaLK#USEMXQ3^Mj@R#<-4%&aB33thOlGhBE7ml9fzG}In zL?2w?%!0wwUshbOb|wpmqjLcNTlzvk-uwBTNIecoGHN;;84Tg)xWRI1ol|Tq76Kgt z+DUBr&JFD0I~oFe_{tl91-LBrd0>w|r{j2{NxW%IJ&8B1g?3W75L%9WcfA^KT224C zf62?$y!;1v`BPp_EU`hhfakbZX@V&))Z^=Vf+;_0Qmom953ma#Xj*u^o3TCR;|jVD zf8|VBg?h|h=}6{P-f;RLI%F&3X322i79g(<*-DZ% zJOnoNmkwB47-qB=?kqomQj%UF+?5(};Lndh45i8CJFMlF7tzrcC)O?14N%Jr4)lmn zqyw1iaC{z+8CKie+yMokhWEZ>MNl6%G;aPDq)lrZhvP5vdfDYPnQ@%`syRV;LI?_( zVA{SsiPQyctM32g>8tW*)8N3@8ViZe=)o_?wYE+1rktJ9bN}r}rn+EJz`oRaHZn_C zTG%J@O3)kIHpgKShW1y@ZJIXvL0eT_R0u@L$XsFza0LL#*GPbu(ZN$Pi0J~>s4ODK z$;7T|oIO+%B6xc2&t%RQMSe`-v2J$zh9lZv)fTR~vw8KAy9dnO=xB-X<;e&9vM%ly zkbwS$nCgrmoO>-93t;psKjI&`~3KySjf2zqbkUc!&pM@j`RbrQr^&5a41-3-2FJlZPN#6!cazy8Rq5M!iT0Hb{> z>e-)H8nG<0W5&Ej<2-ywCzl;yId`;=RtT`qYj#K(N>CHFc_lE+-n_zh(73WXMl~q>udYdmKs)K_+EcFE{-M8Sa;Gf?|$42)h;{Z`WuD`yIKW4`bTx;M>=C$Mv ztl80BWlkva6cU4i1 zQXP$T?&;B|6EPMTN%I!4;*m;My`u5dK2$u+c)M!O#gXq7bkK)0u214|Yub$ptF60C z#HZ`Za3=#d7+hB1{T$1k%&`?sJ7`faa4NB^$l%T_lDoR-Rf;xPhW@;RS46K**;8rr zf{m*oMmTiY&n#V;>K)a}*j=h+wV%xM(T%qA-jy$^hE_^MAMZ%3yUken_US#sb+*G; z_n*uLU}PW%?=kC@m-M(99{XnAuTnkw)c;LKOJb9eOkmb$H78UVE%CkC9=>}UdX=Zf z6hNY->7DX}xa7#}_I&S-os=8-k-09aI$x#3?dnC(FIM0k^`)B6HLimfn)k0de2*39 z{BxIaiE<`7h%IKSg06b;v-rxh+INMy+2R@n*KdmsH@4V_Zqi%6=<=+!)n#kyX^H5= zk|*x2q8*aV9d&DpwSp9{I+-`yTa_GdL=`jDDP?;@-tkdWy^&CxA=1IT+21OlrGZ>d z*Uu*RXXK6qrdiZn+S=*Meb$+(>%5=u8#?wZcRB_kPniw-x^mRPz^QLZL92J3-Dmr4 zmX{+TkU4y>ViD%N>>024y;|j7a&jHv)WGq1S1}BfsMR8EvVy}R^7cOC=Xz!$Z%k7r zp)jEhp@FyHfsTly<{Wdl7R=fr$}wf5-`1Z}5tWkBqE&p~RLdpRo3(1R`o-rdCZZ^( z<=2pgSETCbvpySB>y)P7(2EsmKSvotwdHbrLfqe%JXNv0{Ecb<6-_=swJPAOgMg$X zoSKXZ;6dN)OS3+dw>USkwZU0JZ=ya*){=t>ZA`0-LuHWm#=WztO!gYn_SU>n z=w~?j-vZ8t4pcTgfcO$SW(1ztw-$kG`zEp^z+1-*bezCRrOIg#y4iO1qPoK07yc3P z$LVn3AJ{Yg!SgEcnXNOh1x^yFiH8lr_34;J{CwYR+@9Z@%DY9fCk`U_gBjH&kvCKY zA~$$~h|CQ9NKdP=fT>QGGua04IO+v3;?jE06F`6pf}sMpZ=Z|Td=iBd$Ov*X12TH3 zf`BS;pHo2_%=Cgz^cD%1j74cScf*5YUf_CHn$3@253wE8!NqAjAhym}8n&aQ5j=}+ zEn>iX=J7Rcq#XiWr>Ymy^s=QcCHc^v3Fe*Z3a`}__WeR#kd(%@h4{vG`Om8BU;V=W zFV55snIL%Qt=e>Oa8v%3%{D!8oEhVx!LzqLHxe1SUjc%RbLC023$k~gA4vW-`2B{F zxS07fziQ=anRtw|sr-y{+Hv+3Hkw^7zLxXquhh=*?NqGj(D{*Lq3chy$(B$wu@N6v+jwLvuVUJf%? z{H!l4N1S(=Zu33aeeB;Yz2D`l)sv!6Jc}I+{E5f)g@YsK22HNE0B)r7kL+s#aJ)yG z65^gLmZpq7v7N!;)*HFj&#LsC%T@$aNhFU{k16U~4D#boeXwWV{mCPW;MteDm`vLM z$vh&12v>FtpgncG4u+(iy&RO|@sho27hTKMx!xnwL7EUgt`OqL$1MmauHQNrZ}0hh zbwcXIlxpf>CAe4}+-Za2N5{ptaXBgtn)+dj)A32Xo|EvwFLz0H}LtqE|9LJR=6JO_QSETS?W;dfj6TGWcJ69xc zUuxroXYcy#vR5OwVd8Hc>#Hj`dvnH4Z1iVPalRZd#B$ag8O z-tnjqM+kle@{i*gMcSs|wK(&o6L`dM-i1?zgI^+}+mX^D)5J!;$Bsd>()aL26GTS6 zt>B*GJAeH4%&kaQFoy~HIycQ+; z4fG-lM!#d(R_LPuuKW=;wqJGpdJKrg$O-^!WE+ zEVorv7!EEOaCNhQyOv6Z%o7wT->quR0e=D?g8QP>aN+EL$in(O_>PtE9jmtot6LVS zf&67>)KFK*)Y@OME($sm(N~QHEZ`-)gG_c1hT|~b0vSGsU72(cBcrF;>5u|bK)KMK zA}>?ExHAGvwlq31iT!Uz>0m{ z&~AF#^92|QHo-(WX4Ic-xy>YkA9!IZ)l^fxMt{~F)l$plCDlWx2@HoM1m5zM8g1}} ziQ`>kISX2e3UwFTQ^MVGmmNtF7q}*D2m8`&8R?Wou&b&j<*Q1#F}|u8q?psV>2?9T zj0b(e$b#l@#RY%GS_Po87ZOLsm~FmMN;SF-tJeLEv%$&3@HVg)eCNTV@Q|*^_(q5D z*((XwLH`3wAdELDUjAFoKgbv+OI)#kH2?2ws_Uvmn09*VTLbZ7^>lnHoP+^;EE zJs#4Bnn~)wizNa}Hq=K%8Hn>H=Lx<_E#IfDDM?mf;){qnyvXezZnsvQkIeQpjB=)G zvb?}G6kcF2)MQDMDBEwvZSOT()5N?;k+x_+lw&t%Dm&p%>kLh~EJN&Q$q-LtZ(7d4 zE1lzqi@^a^RBWUHWWsXhzWy?EUNO2x6RE`3Gp6$dG0Eg~Ggnk+l_B~Yu}~S({xtkz zVQ?bv1+D~@C?{&O9DT%ULl&J3Kk)m`SI578c>Foa3VoygLwebjrAJmy4(=WG?*IMU zFJ1^B2YcR|%j%HB$&!v4)I?NIBbV+ten(Peky4YWB?mY4oz|V|0G~pn@vAh0nMtCaYZD9k2rghRk!Ep;ZWpfY4&m|LB!!`x zym?J30GfL=_hEfT1@J_oHF=YfrGH1Kx>+~6`}+dxOt$Kl>cvdtmRwZO999F{L$!PJ z-4gi}$t=c87eB@T@{eJC+e5%hE8zjyYE!L%6g6D^Utrp7c7z*0ZRTkq8$bGUCMWLO}?D=3}yA`+Jmo_l^8;9y-lKDVs76gee_9Q?RcFA2Lbf)pb3Pe4_bzI)<2%=x*T!FBJ>KWj z3Y88=*0x(=!EdT{du2RDTirolkpm>Ui=Af-rQi^HebVOlm@JT1zVAxZIY9nAPklU{ z3jG}_Ue&a3@6E4uczMfTGsNniT96e@4}#QkLhU>XC`_A3yI&O_c zzA@F*Uy@Bz&9ISu!sI^lWu!-ksE z@}wjONYvP4@H{mU87V73-lG+XmN+kA68Q&+ss&Rkb4%v;xvHAC$>( zU3Qsx?@{e`e4!B?S*&D-jx3)@&!6SC+fNtSbA{~gP&Lk@!fUvDmpIScG4%Qtju$mr z?kf=LDtZ7qECFy*pbFyoIy#y3+O0Xf;662|9@3$1f5Kgp%Bjosd4meap*v9`=Prrf zQHdhGtiP)g^`k2%LNqP9KDX+_#!|4Fy^yywDGHh%b;=9EQya^MG6H>pHN@>&01}bg(NT z32dFBN-um=hexKgt4H$z`5GrI&?oG5FOkg!!9ITnRXD+{ir&N-jMfX2YBKNHy`#;D z#|AzC4d#5=jO;n2OacVr@r(-XWNtamOvXMCw>LbRGwdpks(wg@EzoxxHTCV_>PTr_ zw69IcYnJFt)1i1<_&c%}vZVbB+K6p&`K0pK+jF}uaTYit(GE@W zK?TQu4C}y6#lXUKw&4fJ4u~_S{jH@q4YrY1(ReBZYRLZeGghYpcO<}1L|_gYHY~Pb zkj$1QH+aXTDbzD`Sdc!F6c%}=QdvB2slxfXx7U!u>#-GEoPza{5P|2o(Nq>mGt<0l z>qYkSFJ9~`^qfo|She~OhN_dxkyT!E;`zndIw8G6wx{2!nv5oDLz>s(`(9VnFjgY= zpXnL}Vv2kP-2PiUQ#o|#>cJFu>Dk%=+qdaj49c)JM7m4fDP7o(1zQLYO|FI5>Xo%Q zo%isW+#+L9&F)qh>oGSn>^Qj^9#0sGa&$cKC+uB|jGYKiN*+_R9k4sS)iWJ}(3XLBu{V6)~H`8_Q;8yeS( z`v%Po@TW-(%$>j@1!NCf)^GX!LAgvMK~)KUHIlE@*?qry1(Ui0YPsVAWk*m}4_&jJ z4BcELG)bZBDAv1;x)YWmH9roJ1thXgfL>+e`AidOChe(UX0jea$tKK!VjCpL6avU! zyssfjWg_pn7v#{cuB7cZdyVnO%6nc|~^6yowt|C{&@2i!N`Mt&7@my@xDyB=C&BL{vZ;xK}!7Fx(@YB@Gz!`M1p zG_s9Nmcb1kS7T&Z+$6~@StO^H26T^W96HW1uN^;1(SFVz#Eu&xka5gsowxUOb;flU zXkuDtkzyTpj#hk^m^VRm3z^F*DXsAX-fId!5Ws%fjj9EkDqyCVDeuiW5D}xC^TqLJ- z&{s})7y^fe9}gP##V6*|vO$=*@IkZ@?ByZV8l6w-^KMqmW0vgZ<`_OA@wYwL=d2{7 zpT+EaX9U=E;m%JhPFG%(v=PF_AWKGQ9p3!G-+Z#7)7Zx3XIzCzT=U~46+v<&pItnS z2#>#{BOh*Qf1Po41%VG-T_aWxZnR?^00T8I>pLNeDXQ?=H9>J|$|LP9Edc&{&@M~Zoe+DfX#VW87O9H<=yw{rL zhK!os1{E!;)%nD)NEYHQ*)7mD(e?m8jTIcsg^Bq*E}U`Ga+t@M( zH8zFaTc$fY#f^RSR~>D0$~9j+$uAk}^x2X@(X-%`Q)eS4@_~k?VwZBxmVG@z62t00 zkE7%PeBGTChkKczp(Juxt*K+#G#!^;n?R(tEgl z4K=jcw(d1Seij?aKqiEaIMkCRyyZuXE3HI&u`*Sv-%kMlQu#SEqxiS;9Hn#myU4-o z*B0loege$B z728y4%l9@5Bw15oe@n@ah{hh_nCmYMz!=~<_v;Dvh8Nc9wub6 zyn+kTGGo(pQ>|7I$MTG#oHREr8-TI&c%el7J0GyK=Mqs)2mRo&%<7EJ8aX?%ka>-q zMLF&P;iY|MLl4C`tR5felL(!E=mc4>8hJS<3j;xuYXpN+eT*n&As)bGpDof3n&dRW zX@i^+T8;sX0Gj3dYqv>Nq|;}``U zi&d<2b4V>efD7&^txvcU;KH*KPGG37X`cGttg!xyO0jv*4wgtmDz6Ync)WUH6i%rg zDoR{_wGV&In;b4iDgdV{ufdUy(K@ffkZQEgsV|T>fSYsgIC5PqTxWPG z`LO4c_-+)AaSg8zs^F1MJIf}uj5LWhGDZ-d*98!W){t$|=76bDpp~2lSC6$l=94@+ z*dwS6+~PM3nW-3gQRo@{MjTw!={=&s99yJ?90kTWu;x<1IF0WkoC4t#&^g5T>d*Hk zh{`v{?iV?73Ex_{c5UH9d6Q@KXU#YL{EfCqOns-nIUa-C!hN4;u`d zZAF^|&fSutm3m*4`i8Yh;|Z>x2N>uywvAYC?Z=(noi29Y6#8^5C4^yWrGLxM1GT{(NFWkoR~ zH{0sWZ~e4ObNc4ty&#-6Kt1JB1K>^0{A%jLR3L}0re%<~93=Ow&6Q+-p=Q(_yuG^> z;}g)(>?dy@t~b<%serVZZ3c@gKW5F}vBsZS%d{!E{VO<~Ba{VT6M!u^Wm(I{$SwCA z{Y64X5)Kh?^hw@~pJP2+S4)cq?oae+Q?;D5y5r2PY?1M=KzZV=vDxK^!@0jL+ah_! z9tLm9UZ?QCf@cc}BP$O@bsk-?JN{6qXjXaXI8|<1>}WLskd)aq*5o@~FM{(q302u3 zC)ZFff*Ue%*n;(z@x?HkbP{JV-0wR>^{Z+_*4I8$x+#de0CHaDm@thbd`iuO36Q_a zyjj5=q%sln(lBn6&hO0vhr70!a-O#q;v-=WN{@%Sp%L*&24qoHHNUN%IgH&Tsoj&c zQ(62|-dvTh(6Yd*;;Skn+2@Bnhjws=aGnQc*GPanBM~fc#aogVtcQ#GUiP7pd@v54 zm2JDnwgQ~y6i0kWOnc2)o7YEy&f##BbGqMUS;Ouc@_T>4y2)>mSkwhBdxTTWFftEt zwy$&cu5+ffJqQCkpySQ(L~mW8hb*pFNT(70eL(bnY5T<0WytZKtACAa^dQ&xk}FHW z_1zKXIPLsbxH=DVb?02&mkuQ0kZ~4{6z&1pCf8-_UXv|Jfo1D>#^2~W#~zGcD^Sx| zm(kRG(y~SbB=k#XZ~AUZv)z2rP^VfFH53f7+XLB^pfv=f7#YY3PEfn?r55m+i1LavD_ zgjdv@Rz}){yaI{J6CxC$rVyi1#RTuiG@+aL5`C>`BApC^H+#oA2o#YP7ad|k6|PMq z4T88Q5SyynAkbL#+jlvzJRFKAs^4-uSywAE1-k5BS_JS1&jm_gG*BSasTZvefMQw# zX^-JL&<8u=z`YTLGaf=Zy{~Y3*OK+zAaEtbSC`jA?g&`-GOZ61_{iOMZgJ@IR9LVR z3XP|QE2h<^yD#5-f;>0Uj|33ELJ$douL&Z-yRNdWM2V`7JIKYL3~r$ad(rZZ8tpqZ z@@#;}Q+gOUNgxKKCK?7X7Q~cZ5=Te^O~N{?b0Zbq66iO+>P{>uDI>Db(s5rR>jp84`*cvv*g+U+Fd~V1 z5=Sxyj3=1KByOlkTp@{jp~(!Gh=3K^^I}D!mat?ZXL}|CqVYW^2o#N4z-()XVq#%O zq;UHdS=7_3>{x5Qa>~sktq%5GAjSKpsBimHq3>Oza38KG;a(^3 z`NbY-Df(Z`bxP-6zB!?udMFiKF9na&xXv2dT(XTFR|;ikoWn7ysH{;H%Gw{ICT?Sc@Q7l)y1;%fE4aoT2i3 zntHK^MuudO-MH{u`mA(@Na_6Bx0i226i+q%9<@sMxnzTf_NzE;onI8 z?On2rd?tyaTZ3Vs$u6o_R>=Gv#<9U~vHJIswnbdPabgY&*r}8-R^UpLu*d4|Nk3!# ziF3&;OnPR>gPe0VLHO7Nfv~e5A=dxKN(8Di5rhQ~AUWr0R*|Ogf%ztVXk!3WSrVM-2T7)DXrG3}Gme4?ON4^1c>i zGm>d3tN^p6D1F7reqbz>{`lyhB&NlktLmQX>28Iyf3J0~CovZA)F7$D%>$=Q>7wiF z5km4t>GdPx3Z!V{-Wtev4B*FlMZ16~K@ezh#lr|F#eRqv?a8;sQhZ7B&7L-S+C2CR z0G&vYUTJOMwAq}~@q$~VHPXO4%3fuk@L80;?J7#Zb$GhF!t}~e%53q&@YdkO)c_9w z#)uYL5~#s+bW0p}#$_}i0vUJe4-0ME6-|cQJ=UwyAi7E|xLNL%R!NnfLjq%uwK~T@ z`bxp{BGIp0!NcR|CwjmPeit#9)tR|37{3#lwAx3p8G0B{bUBnN(v((uZ0p+&p;; z=P5DzlTUH_4op&pKA1k0PZM~um1;a)jU)-B^WmwYU)T{cS6MJeH6dN;w1D?iWv=1r z%0gY4KvyLmwVLNV)~AaemF6M`m@OR7txIVMykN$i#pDiEuj8Fi@2LXu}f=yBwS?V#IF}r#! z|8OLz=&~bp+?FJ6#&40*wsl@=n|cgHDS(vm?3=sO zErJVDK9)$nd%xv(lnloM2AlZE^n7!B!Y^)uyV!;CI%6O|5{RlX3#i6X6(2v$)$O_3 znrkrOnmold?74<516uYRJsgKIthy-bRQLm6YFY73aT1c zRa1ZA4X=lW!x+8`iR(F1a6N$E!Erzi+ZNJZZCq_=JoL(LT7Svt_oI zw8fv`62D&FXB*vglIWDFM@)B&lr;C}yhxjC z4UcBomm;bIVa%_{+Bz2L4vr#|5=Nfq<}Rz>{IJMct4@nG*0OC@l+FLg+`IJ3mRx6I zm!u>c8}Ok2fUz4J6z_Ev5BK{~Mi1F<_{vR+F?v zx7e22QtQzwi?URZOOjQM7R{F2Kp)ni1vKoDM}`Lmi=~369@std`qqlrk9?eaimkQ{ z7SBB=Gh)R%Vy%d^zVC|o^qkx&?%M$TsK<{$jN(sOYpmI!nfD{q(2oUP{&lDL=Mq7n zf=GL2;@Fg3S^V&uPB3<*$*e{3_))Vuef-@TZ+JU3LwD20Nc{p|R_MD6Qk2JeoPZ3O z)#Llh z|0i!S2 zbWrt54I({%kO`4``Op$rl*Ra4>w7?$GuUMy%yTrv+z|mrwL*kjg=eysSsD3XwW1GZ z`~LC>@0Dam@sX_WT|v^5IJ8MQX^e|J{2oC&Iu;9DiXRGCagr{k?|cwLI(&yob_FRm zYxv%&H=Mu+E*lwwF`NYeO_!2#!p>i7jz>fqV7Dct;f78Sk_e(%#eAiS{-7^D^bDi=y&b=PXXt-{bDUr{^gja5<@VwBi?U zP7h8N2YvGXtIHuepts-90O`K-Tp1zy+|rb3pCcqIOGh0wPH>)m1-N3x1d=W7X;jDDNrR-%J^lWo@Cwj`Ew`<5vT)RO`kV6{ zvrfkIO+9ncWavBj{33PHlm#t>H?z`7UFkVa&7WKUi@A~&pBiHXK)Z+fweMP^{c9ll zV!^Sr?409jsN>BR>^fi+pu~I8@~HZFq=mbb<&o~`#Rmjnk%~8W!uhF`yWtYCEG`i6 z0mCW3sPz#+#c!CcZw`mSyI536FAi*us@Xc)CmoK@BtEuNk{)Hzh4k1+PmT0^4e6T_ zKle+-Rw8BKd1CVhgvURa{!u_oAh!AM0Tk)cS@9{7lIQl58&@2xPud{dRX9R zyW_5zjVm9gPZVM=Y3I0Fkg0eW>R$kp30x{IHu6Sdy+LeBzZ?YRoEn&VH(TH(44@vy zeM7cRcIRvH+10M`?_BQkEDbN@`dW@}Dy;S!^vP>@quzx^u75d{-ji~TxWE*k9#-7r z_xy8xUHZ6F{JVfw!@=4fGOrR?>4+8xg0{x3s^Lpo`reA$G zyX@D11k$jD2QX*)A~1fUhOe;zRhMI~EpjI@tI&_b%i0DsCo<|>yCLJoOS8D|;6;%) zpuXz|PKYD?enPCcoYy2R?WbMnUSH^3M0=x%08@?UT-M75&6z4`^n!lQ1<|#+@fO*k z>7PONdI{Oh0W%|bo@~3Y_lvj47jlDPdbhmf-!Nj`W%o=MyA)$Do>5HSjQcGbVD_po zc&Y)PPjYv@IsS_mFJ3^?w5O`3y`>XyuJJm{f>eSA^fr6@ z=q%@RyVxyBo$wPM$~%x_9DOOLFDn?`K5&tilBFr>Jf0g-RS;NFcgy8Pnj}&O7M0=c zvTWe@nwwMz0q&E{bTX=I4sGUL`*^D0I?ti~NHr^80~&hkIT;eR99$vDtSrvsSY0H2 z=ciu0fc?X?*&SfcB$CG&Au#P49i?HyHrO6=J%_mt$&%}u_5@bP60WK+QzDC$dM&|0 zjDF5BD5djNU|ENu+wC*P*Hr z<67;j1B_t!3;JHuYWs(#5Od({%Z;77YY=UvZ$07$sVW-j!fb=0Qy;O&DPWt; zMB|ym>u*(8=zy2_(0Fs)x5&(H1N?Q;4BV+pfZ`EcM-{P{U|}a%)lPk6_`o52 zhA|%U!5`a?Xk%*ZLyoZbckSJQsb~?aC~yFno!xw1j7p~rUCr!c-FyT3?ml(|aH0;l zTX`R|?)hD0XFpUR`fE0YQv-794egxRFmtFp@Z8?*D&_(Acwf#NLH^zS=U zkbmHO1)#cPVkI&<*gV%lxW~yngpd1#a?rL@F7bTflH50 zr5#dV+^EB6h#la4Z_4r7%Shyry5#`Ydzw%AiuQaKgFE+*w!+f_4m$9V7ePk_BUDpp zF6Oz&Llli9ca@4qVenK2NH=i4vgHFFM#(u2JmIY7{0y+i@^ zbY=_AYZgzTUPx&MMoUKGdOR8z2%s;M-~#K#&1lOWOB$eW1`L}Xdxkzr?U$i{0X`E0 z)?zGX40}UOh)K#A)F!lFrZLs8%y;mrqmxbK03388=NzMFgorbM(u6E9ORu8zMCT$0 zVHqG|8Ii|;*~E7~MuH@5=PU4ogx)0YU!xtjS}rkj7No_^5v@MATZGZHc(DR{I|x?v zCq3Z`V-lKA1uPmM9rA&-0%jYv)G=;x2xeYGS!qEV)7Uv}U`Gy2Is2Y6Ay!+GS)?I! zbQaMrZ1*BT01DrHFp7ia6oJmD6v>!@r*%$8%XykrUeznwp_nWKn~#Nv8Caa~7u!}K z4zU~Fmlf`v0N2$uc3rh=i6w&iiq(7shdJOv${f|4(ZNnz-N{ld-e73O>RUF6a=xd{ zZU+Y>;Y9@pdso{BdpieU3*fH653ygbHL=LOXKcJJcJ+lLzF0P5$?B$< zez#_{=OfL70#rQ^NV5fCMLPsj9{>TY0Ipvu>Ul7{(rI&~;d^ z)P_7#h0{P?{81L#pE*VM@9_SIzya-|ABJw~YKIpQ5#JEOVU=XsfjFe>^ZNnl9=%ci zvST1e_>zF#2WF?<=4W=^%MyT~>Q zN8y-x@Cfw+0yhaVNumY7xV%zu3MT1xJjZody|>ww(RH0#Z680Z^P$0h5+osa zMW6LzVhFSDoFNG-34D1dp~~d8r|ubWU`OOC$n}1G(F5a<3wn#gLHMh5j~{ukfGc% zQ`y=sNaf#Bx{wz+rRu=4K&O-B*Ms2UB4QLxZ*0z`DghY+|86QfIxCyA`naDMF@^U1 zwb?Ny;H;7``j{CB-D@HOTv+rX(wibe=G*h>2wxOTo*`@uV^QIhG1k9mNfKP^MI9qJ zW_tC`4%{QW(JMr&CD-~wM+}Y$TfJ#cV!Ml5-vBUI6Yr-ee+``B@V8&Af2$3(tfwED>#SI1n2nwtt}cc z3BmSD+DW~Jji`b6Rkr|i34&)M33waxjnYyaS=)0(?W;;%oy5IT9pAP7uP0DZNFQD> zD-%Ad%>o?Uq43&6y4(TRh=^zNbdA-%MK{z;P>8UJ2JZE*B#1Gw!dn6o-o$Czbco)0 zI4$Z9AwxyEQeCrAjW_|bl+=o+Qh;Ft*dwMm4M#$!weWR*T&muxhLFX2xR}~pO3*b3 zT#NR>TRnjk3C-OxSPP=vD!n<#O#6zvn1_e6dPF)qt~;mMw`x_)wa@cp zbgxw-Fmk}gJC(CmN1i2oB)HyN1bLYjL_5cM$KW-A9mHH$d*9!fa)JL!G(!@S-Rcxi zLtUDdUhQ2YD6sQ6b@{tUEIY*Y}*mFOD!CfmFs zMHi^k06>8bv{id1LRHItKi7(gNJzDWzPd(XU6!!8b)>F@$?Ghc&eGR)AjXvYCGbv2 zbt9cq{P+V`=gdsbG2DT86Y37_bA`ZE=Ul#Pa_QZC2Dp|+JK*RnVqXQm&eHdbIp`6v zdE|mLtZ6jL73f^S6GJBkwT1wYY{* z3UH*eh!Ga(S>pE{h!=xmpReruTtg{&8b3gC{AWM?;)Mbr`bww~`Yr$A9{dfAsyI`|Kb8)~CPm52#Fud@Q@-N+~3mj~^}p z*IN~QxEs7$7lr-VH^2Mow}0)E@BQAV|HaSQFaPpSK6=%cLQVbfmwx=~e@ybZckGsw zpL6+vc0b06k6-aXZC;Rn{PVx?R)!_+umW$G`Fm^cQ_hUy@*XLRwcOmp1F7 zT4=Ez`wheO1iv^M;?Ul!%KqdRf8n#={JWog?*segXaDW5{rLNT^y#<1)mQqn_kZy0H7hltJ@Pz8Q@oAHh%icfBK^z{NR&c|MgG4 z^Ec7qzy0ASfB293vA^~umB*m_xb(!JZ)twkJ5yXNfabVrQr*e{H7MC+TYy~CewN#R z`Ah%ZXW#tA&wk}kse9m;zytA5e*Q22=AV4>3;+FRAN@l}$HPmhx^vlyfp`QeNR#iG zYhlmYVaxC!pML+(saHPv<_}QO?|smZ^SA!?r@#EGpZwAJA9>3vvNE4U? zF=gN!W%KIQ@Xsrf@5Zq>YH93}eali&aKAOHS0e*Aa-?x%m}!%u(tAM|tXSO19q z`|LM=i~j3>KX2+;iGe#VGPDiqk%Ol|nx- zTwo&f^VkE@Y4lx2o%9v^HSNV?d~fp+UgFDE={sreI;YE*%FesGV((jxpA9Na zYrJhTf!lLL4+!|agZE5Qb{d8fPvy8~5=J_5VVaPZj8MF?1I%8XpEmdE@c7{daUJ53 zrYkBPcpL4TYdh`;CeM3rM+lz2KkbNgESfbZVPbRBXUP?4F!?EP)#b_h#us|1=qdGz z3~tLL!WJ%}5AchFb55HhUaSFhp%cdr^!wJw9NXJ7cpOccL*m4N(bf8llnvNy{umYj zI&=8CkDw{ZU^e3Qx1gAv1N)|2R72L(!OIzaxx#FKk0AVN&dcvpv47TD)$C6JH8186Of)KW_)bX=XL z$Pqw3>*^hj1Bt>jsSrdKNI{@QhbPaaC`8uz*0Cs;2m;$Nl6bLL0LB{Br)!Sj^Q;;e zs`-wgQt;T^0LvTSNli)LTCD)@0_Ue@3%?ot^}q4Ozaj^nF`HA2msxjA=M=C@O?FA= zM2pu4hL-jkiL!ytiSlHWC%M9W^M*F|Ev+8)LJNg0O0}f zgJoI4OQvW~Xx|pwL)QSA)R0ABJ?)s?oi>CSrTwZC;p&h1B7pmw*Z9`*oxCPhfuR?^ z3dW!&&zFMS4(AKTN~UB%FZkHbCE=wkQaxt1y0^h*+LhfT8RBh?Fwo&_D|I?CRIQX8 zCS3AZT&&?u5dR;Iu*XBYoQQmmQb79!4z#?`K@c%1pbG9%aLq(ivZMtsWfaibOCl#mNVJpCfsoRfM#tBY z2_z(;PalT?{Tq{}l{g&d9KaHSdC|f@jZW!7YUYF~tho?JAkC|o>JSGOoeBGfCjC%V z1UjdbBnIp~B%`ijWXjS*KhqjXfSG@>;0e`;HZh;b+M zEO^+RR-|}Kbw|%9Vr1s;C zn-oy$6cO!|-=b}nkGyHh%;y+$KZ3I5p;sdd&iyn_?TPU}haupw2$D?8A)p?m7NQ=J z^-Z$=VM%DKzJF*C8aJWT14a36VX=RgCzrm|BWu97)m`!6Y%2RD?d~}DvCT7x{dT5W zvRwi?_;->iWH&rSHtg);K&N~=$@gYCr~kely=Q-2VA{W4Ex+Eb^RFX_q$LePiWknJ zCf{yPK$a-TzG%9c#=Eg!s+tO}`RoFQJ*z{smI1rSX9gPv-bhxUY53MT^Xm0C9`?&- zUly&AM3XicxxXYouHPs8*sNV5lT zP9>@5aG(S{GmVg1<&ul$p3dcJ_*FW;R8h}MGG)$6Ip%ZNCY(Ie-XrjU&)d3tU=Qta zKdwm^ve#9$k&LExsV)X@Xf(hI4&jBaU`L%*P^FG@c^EMdnoJ5)=D6DSeAD-0YtRZ< z<1Anly30-hZ7&zgI5zMZUyzM3<5(t2&82-6^&q8j#dEZ8VJr}~s-q*Y%bBpdnl!L4 zNLM+zUgJc|6P5%Fda3T`#paqU4rPJnb9}Z~L36!lA_X0xH0g!sNfAy7rD}e2Dt4Re zEuAly@-#xrllpQzE{qGpvb5_Mzmj52RGK_m*Ce`LlSop@T-2l~TU#wQc>lssQMH(} z0+3R5$4pkm?ohNwPr-`$*T3}nwxU#U%lQF>7xARoq!!fnPHl1yFWTr86Z?~yOd3OJ zZ+74je_Q5x!<`3n0ay2$Vyfjf)uZOi%r@~2ue)Lei{|aZqkbxn=&N?4>HM@%v++R` zI=Ta&h-&+-xM91=4oCCZ6OLd~@2mM5NJ=AdM?{j?B`tIj>0hti(CiWZvyEK=><%M& zpjh3=j8=fddb5WvQtd`F*dr}x;H~O!o+ZP)RJ2tX77;@hr;iueWkCdO&q?)@&0$O0 zIKCL(e)BgRSwtE>I4bac0 zJtfG1Zy$oJHA(K0=*#>C?VHZBcq30mm@N!=s2I$UI;cWayN@ezFO8uYkzp1OImtYP z@{Qa};3RUuChZRP0U(m3etd;y5dA}{KZ`>6I*E$IAc3gFA4D~(=hVJE8?8K7eG;s(**cF(Vdr!o6q(h z*g}|l3;O6GFRQ&!VAR!pK5t<_AcG(I0jZGGC!tSTlz*26gQRV>&^I%}qGsbc%!cwI z+Z@>!JQz`u082iIlQ41;|1KB}Mzhb^_5>Hpf^1r-?r29US>3=-0qPTYN#exbojd9R z)#0Y1cmOd&v1Bx+7PjrsrLYEyw&S{FA}|R;=#GAr0uwAG!)g%N=3APOu#iVMY<$Q8 z3UjsNKbeJYv4VN%a$nO-0e^Gm`5uUuCZiv|Sw%pG2(fcacG z)q~C4-{<-Jhv;aW-?uW@x4XQ$#Rgp{csk5t!x`ZPN9*B<(3MmJ(U;e1#WnwY3*j#Y*iZ{p^__6M!<7lvGuvZdah&?@1m}X}r*r##zup2o5DWSt|n?K#@G`a$zy;bvFLHmm% z>@s7Sp7m3t-W?J9KlSd^52h2wtaCEE*zY$Zw4`y4@V{b$=D-8Blz+)T7aM3|Quav^ zuYh80i@${DkcOAgp*QA{>q`QT+@i>7hekLey8s;R&=(R(KXqeo#5tARs-K*NxY`OL zcSI+pIo#rrD+Fzt03JWu94>-F+?ett=frCq+3j`(W*#IV z+BFJx@S@uT%TX|J8t~%8`cJ;pzi##bp_*y0hpyO`Gk7X3TkF0821%xN*ByBm$dpta7Ov19ZPH zq?zrSX#!^jsgL7g_UkI&6>k8S@Gxzff2$zilt?)O@v!gOoq#x-wt*vb4IacAR5jIE zcbWW8;#Z=(OG{`VYkUN26gz9J11t^m{71WalfK1 z3*2C{18}!gbHH)ePO0_{zwOyy11l;isS9UC=`7M=SAfeT+egVsi$}853DWo6?2ZhI zl*SmY#NZTlcv9l)cWn0#v~76U$d{VIqZ|u($M){x7@)H}?RHp?D(nTT|VS%O5 zpj%aLAK#y!R~*lf9`3}Yk8!}l(z!^KxQKwTYZPra=ZRvNjj=@rUcP$( zp6!moE{5`Ae$@3ts}@9?y4!B^o#Hh=PL=Q*8>nR9-j2JtvrY=5yMWI@D;NE@1|;kt zBZ_I^xXi=OagQ(r3Oe9+3o~Z#dEs3|^CUoJNO=Nt$^xMYjS?}Dqvmt=18`z%feoU> zogpaE`l@)&Hittqnbaj|b=JD0efq$NxI4xb8j`w$I6t#U`>sy3aToTcI>9plMW&-9 z9@DQBxE`cQa_Z%bYUPF2eFxKgUg9~4taV(fIpL5Za4kH9QTw;5nN^)hGO4zoS^~`h zY-sub&L8DyBbqcZ&}r>$2c)K5pUj;kquT##FJ92;00cJ%yLI{-}F`ofQ>m8-XCXGtP0T9X?y^($H}UGqZmh@rtpJ( zpw`zww5|a!*6bhuur709cz}Kzj0(O|prGfC%44JulGAOf!{htZ!L&Ow1l@d9;{g@- zw++DN3UQCqbhD8rv*oB``z50-ys`vGOiH3z%s_Aj4Yj!bQg5D>##?O80mF-yz4x27 zvLC>>a8R1YT$&P|HzgtCa&v;ha<2d%&Rm%7Mfa6de4{urFyG-G{-PAqanfN!3le9| z{M=&eb6>Gr5wz7O3%CchBx&_kOKJK>j3KDnq}Gb{+h~u-W>CWfi#G>duJPaATvlbsi0+$EH~q>~+LfJVb?RrgTP!FqMl z!X5m^q(!CoH0ZR)|4YceI(aVg0~-sz#3j(1V3*Fj6`&3ZT6(L3PggUM#`83s6m@;2 zpLNrwfUR9p(<&Q`J0xYL9{&LFc}=mX+9xI~7qY2yc9Q~2=hXt9(UkLTWVFjiudILj z3ol-f-Gysw_*;^4Wq+l?t)u)hu90}^O!fk6scJh{f`c~_6Tr)h6#U^Me&GUirriP; z&G9)!XyJJq^LdonuKF^V~d77@wLXlMX)QU0uk$PSTA0TVkgA);o`Dzh}OdMGhl4Rv3V4+#oo<~cVHM> z-xLQ2$h5Qu7nuW3Lq#1}tY#~Ch5?E}>_j*`^jIOr#&2UqA{SZL%+rCBH{ec$a?W$q+y18(rL7X@)VyNBVrbtFN;jPOBU!f8 z_k}#D>bMLiOMJ%Qc~U-}-@rrCqeYB7*{;+%VJbZLX_=(J06LG~)Nmr#^3cSR!*R`V znK!RFCQ$QpMDGQOgy(&t!V`epsStkX0oR_{uyeGqE=9s_>T$ux*7c(>X)6)E_ zYeB*c&D)1q>;d_b z5g?utn_Qc@mz#p;`GB*}-Xbl%Is-&9FXZsbUY>yDD}IaQ?0hrtH;1dkpSr2T8=;%r zJ|<~X$V-684u`J{e>Ca@xxPKw+#)Bytns|J2=;Crk>Z4W?LdPcm8^j$68%YZH0c;I8*gLI)D}O?tcD z=L!VR5AK$cM$#gCkz4DV8!GB?Z16tS&iisfEImp10!SY%a3_BtbX(yxezieKy-fuPe-n`GI zu|&xM`r2Mq<&vE~n_})T0M5%ewcoK5mwv=Ce)H_VVf#r0KIx{ds|}o|tF1jd)!h~W z&bAht$W7}=8Us{Agb!g_EQDoaVR!&z4BnE1-$~eBopuZbM=PS`s_O^b6l8ol&`KV1 zM^y*MwTFU|QT;Peb#=w`S+BEB*_}Jvcdp*@XHr0+J{0JcpL3~MH z_dev-TIMr5GQxI6gBQH9CzX~9Kynco_q9y9mj0-g0{vc|${d%yfNs!&nO0(-Pj7Sd zxJl#F(GNXtc=)ZBbQ*HE(u`XG+J9B&D_d}`r7OgRA@eV~!qvkly@1}01MUjy*r@M{ zMYmis=KZ3omlm8c#7`lM*a(rp%+YXhSSDm;{SO%~fP3~*?~5&2+hn7!);u-tYfE)2 zKr*mwCa_R&0~vhLOiyRyo|d|E0dX|yX@0vok^#EPbDqrlNj*z1W-}n#Wx$fryg-fJ z@pL{E_tbVc>#n6=Q{xJC-mfH2s^!Y;V#y>gVhA}S53$PNz*rP)U1Bk4FC*z#4IE%@ zdTsVIug$q8=|Z1_DP! zX^!VqiTr8GYEC=GUw#SJwgf%Sft1cs*}|g1A*A-p`Sw-+`?7u2yC_)jy+8yv-(B6y z{Sv>QmpJe}GH|1>crL%5Hz28?sfg=^`|iFwQRZ%@oLxtnbpza-23J)~y_3Y0kCYHR zJo62>QjIlJ)Ns`}n;bkF`vQ&ulG>%z3G))+Zqb_IiMCM8$f4xDwpK!#8c@pAIjMP9 z%oJYs9*WWdPebv*sG4)i2AH@ck&3f-!s_vTi^o*q`GgYl29xi~d@UDOV3FerYhVsU zELYoEG47RZ-Y5=W(@AOm&|G=^5RmiK;UH;H4wJaxvKn!rl~h@huldzM>4(NSyK4&w z{}A&$x^pL`Xx#Y>B4Fk74g=t{%*ul>7}^M#T`2Y`DbNUZt+L>isK-ioA+7nx4|Wji z_k9Qm{km$bRY$8}OBx3E6-a|{ZLMTrBx#?7S#m5aW0Kl9dsWF(5uM?W9|_ZJlA+Qb z&zL0~G736SF=bBGeWk3u1n>^s3gVwehCt?wq>z%xR;RO{4)rBj226%TM?X#P0&Fy} zH1*6;O-BV$74Wdyp&^eSQmgak@dpk1f=U3rQ|e0H%3`Z59l8s@rPKVLQmc9UpyuP* zK!;_cj@G{8S3Mfw$^l~wyQl-7Kxr;qFY&pbXp2^>$3M#-EJ1p}7{Sq5%^p8!WJvY2 zyjL_H))ZF(&)Iypv@COB<;waISmzC(#+3CBjr-ljWtvuZbO_SK5%1i2>^++=NBk5V zpzP~h9ZQM)U>EB^=m8y2EseaiK|sQuQ=kn}^#K}2Z}E&Wi&Nf(rxum!$#sW-3*&xM z%mlyB?0YWgixIMOBHa)TrC-kfkJyL{?<^88K*X5Yl`Tj(r!dXzvL=(3M_^`rMu$d7+h^c_#uf z%h%(G&=rPcLj;By6C;4EjKB}s>+i~-h|?XACPA~zzB}foq0jH9UYfxF?`%eJ=V@=h z`+UC#b;BgPL`U_GfamU&Cii96C4FZ2o_cTwyf);%_WnE1o{qD_SvR~ncG@7Bsd84S z;qIar03A7jkKp;(l_t0AV58fBcMjTv)F9(`1qc9Kg!Q+{;^6mt1?mmhbX1cXe&V#$ za|1YJfjX29q20-rbTe2K+pb}EfXN?6gh*XW4F^8~vNK7sR&zGVYau4QjNHyd8`F}N-g!=|765u0;922VgFE?96%FPF*XzGBi93$yGkr-NySOe@;u#oz zW86EMyoK4n_yX=$t>$a$lZur6{hE=4T6or#TPE*&vfv)Hj``w#lTJWd z+RY*veTxA`C9C+UEDJz639G&BDfITgttzL&m->HBm4QK+#1a%C2{r} z)Ah-Wwrn=g*I)+w#20^7?1S@XU-aq#xq2_Y1U! z{9flXIYap`7;Oz-YH1pUOA>|H)1eYZ<)A$>lRIZJ9V@asnCA^Q4Qu8aYTb!m6$wWE>vlB2hoH?XWxWK$6Qn>air0KQVsU0xH zCecMoRUpI5OkzO`;FE_*h`?uMYv^hF|S~^h#Z*>yL`IVX_VT z&QE|PA{8O!E;bbjOf({90i!uyn}NyX?|1E+L-E{h84X5Y#fhm+q@7?C0x|dsG)-=G zNOCqP!L`!;>x1IOncO#{^wg9d3vC)5SUL4ZDg)wQc87PqAj2y~QyO-@J}O4_n5&ug zZc_l74^8=@MO86ae$(>hG5t#UK-hnJjV7OCg2tGjT$jj7TvHd{ffZ|D_GvU2Xg`Us z^hSI(InFkR0Ay{O%I-GB55LL%a-|kY?78wlf?AmE(T@f?PM#6MBoyD862UXZ$X_S5)~|jQi(LKj^nSMABvjOBSi&{?3!hDwNF**^+}A^RCU2Bl_YF=6dr~l+CEv zX5ZE0D5zCY3c)NFoZxMg!_^SDJ!&Z~5fwrt!5Dn+Y(NYSD&R?>paCAr^oO{WYKAvI zL?_`65qQ-z9lTA3qm9TJQh4cP+@280kB3<*CxN8ASj#)p|h`MdLIe5k`4u- ztXRR5P^$^&?$uU#>9i|{@(^8~bF;qvlLUSS=D|YyqXO4)*RFMRp#-5jQJT8xH2Bjs z`KH&1VJ3!msBaD8Aoi0<0I1hLk>I+Zg5UVAkq9U*G7;B`C<#ej2*;75;W#7TGcZcP zQ79||Cv=k}9mR}#gH(CY~3L!azO0Z<}G0ssS5Q>bsE4iL%6X$5Eht zjscgM<^e5?Tz907hmB(|h^%ZHO)q}`a_2R#jmt|3q22=92Vg6m4@+K6Qa(YP`@inkGRnCig-W9E^O5Ew&eK_h89;oPDweMfI z7d0MJ`afa*(Slue_XX{mIf!9#AaFE_)52L6Am#K6?Z77_YDxbtHe`IBf6MT+#dhBT zU$p5Sx(!qdshh{l7(cPRz(H86&4J z?Q;Q*YB|)1>L9^JW%c++b9>PN%@q+}Wd19f#en3YjpDo$0tR|L7fPy6g@`dS(~GWt zs?s+lUewFPApw?`(rqeI3+PCwjlr)4#+Us{(_RQU&g*d|@~M_TEtb>_)Rm;tz@OCR z2Tfkkyin+hYReFlA~rdjrL;|GnfKM>?^GNq%@0ldURcyDT1jZws>5yOjbxi@xA^!w zZ!cz3HKedhkMKyL(=mKtl+Q7K7fBWXg24W1r2n%4;Fp)^swx*wQ6BB>*8(em=pD zgd>Y|2L=`8r;%M%^9H~=W{ke5`F;nOn<1h+Qw{OWc%=vn%p6lip9%&d1`d+KORR0|!7CPID~U2Pv7I-F+&C8lsgvQjfPAzf zszZ^tHit-4&IGOG{kYrIO!)0`(J{8#>1!K9ccZA3Hlh{PRUJ6|PLR3bKz9TZvUZ#I z!7s^IoSaBL`VUF(9yt)Piv!0eux|omW-yN$BX_cQ0g&|_b_8I6dv>aX!jB&w^AY3J z$N@xGo8OL%5&%CZtH*cOo(VMEHU10uKl$bL((!BhhJSeY!Q5VMPwa}YU@`%<03*V$ z^)LN@0rHAimLOaM9wJM&Wb*^rdXilV4o1?H$S~z=YTB+D%AS_qEOohF-G8Gq%RQbY z*kTR1U>f<(l@$Cl;Gf|$evVVRqu({Mo_yksiyKD4ktZL)$rBn}L3RyCKLs^56T-Fr zlR$qi62ks>Q*5B`(~2*QRqX*Gen5ohKnaT!1JVuo3=s5k+B#MhZ4h&QsUpLJ%>B+< zH;&%I#;LZ&0=5+$f3uDj744MtZ_B`Yq_thiuqM0axTb=EYPbPvU13U~_1N$5M|tv4 zXSr!JIx!G1?Nx3(VqO|2(k@Lyt+agXJ)IOq(R&$Q*o7CdwLO;=*6==%onwMSyKxw z(&Khu$t@wpLv#aRaU4Dwf#Vlje{DoWq1~kL6w9uhN5Gxo#5JrS;xGebq!FP9`(naf z_Z>U3aKQ~qjc&Ke&khyd?!CyTbg|Xsqyv%6jh@z<3JCjrN_f;G@7O6^5lQpgZMbz) zQHVG+$V(m#ok>66>euTH1Az-A5geN)4i>KC~gr zGL~;hdlIfsjBn$}1v4DnB*BY9y2;?#NWDbknU~-LfTQ4G;c{dh&)GA7L2>^Ljd*cH zOwsOW?29;Y0JdVOY=333$+vss*C}q7S?_?E^o=KN#5lTQHsB%ZPyh>*{Y8f>8nA7& zQ%ee`Ju9kFTJZD}4j}s>~?}KbC$6}r*X&Sqe zo2AU;8o?jc`J&m#g#e$xw0p#~BSzDUrO4!*;A`e;1t+jl?qFP8bVTv=V#yye%KRN} zEi}LwZNzEng|P6>k<2Jte;;Kcg!C;!Oxriqu9kwQdO|y4#h#a) zL5;a4+lBWLk26<}H16s3QgW;N7=I6ap2Q)r562fw;Zw6?xMz!^DE45H3^~)jX#@K^ zZ54Sr?tDxSKME!nP3gFvm-m(0r7aF4kb1`#KxH@P<54K=sBv+WM&b0Psh^NN{HrSG z`i{?&Tc+5}V&D3MpP@4Xt^&XpIq~YmAyBh_ff%rL&M!55b_mxBX^4xu*pMQzQhD7v z^Tp2|NPi!ShpAInq$Mo!CO_?HvzjYV-ZH{&lLHtH=W79XExYdam0eiu5RB)>H8g?J z+13{#O_BxtF@Ti&+DL}OEz>$pMC!O@;4IOJ4_e6PLMBd+#}D9-w152lHh)%C>8M#1 zjDf={qQk)j2X<+j3MajXF>Yo>&Ma5Yki9P$pm71N z*E#?cPlCj=sw*1a9en_;P74JO(Jj%828LMk8eVbvwIMsG^6>*wbMct`@c0360OksK z61!dgbiMB@feY9cC27l;Wa|s*;*r$Yxckm&RNf|&J;0zhRXgzQ?A~1Kkb;`UPP#c5 zh)z#SToen;NIE)&BlAiZl-=Bh*;MSF76q7uEx;PcMgvhpwY@#D#2fKgl=W%;=4r7E z`UI4)9iJ2V^(iHu$$&ZCl2!MlzypZ4NE^VEdEIgN*bK0{w`*IoA2xlsL_fV{jGDYY zsG_lHlHf+YtrabZ-St{;@ZtyFXhgH{TUh(N1)P`jb-{S>Eli&4vy0LH0Eff`fH@x9 zPP^t=1+2Og`UhOgw3YQ8LmKqi+$ey^b%e9~jy4i4dWM@m(wZhcv@hnbJKCv=gLMMH zAegY~tsYL=)X!FRUeC#V#G`B7S9y`|JJ3k?b^fXiZ#)1eQzusWd|?e+Y?*ftxsxMI z0^z^L(Zhp##k#@qRoKg_Q;T7z&}3lDfR21tf!Jai$OAiua83Q5<{XdP&aRLha)oEi zBbx>=D40f}s2Ky8#cj9h@y{CTKbYRfX;_l6qk*<+26qFCno{FAEm!k3Zrl)HwyjQ& z?*kQUX9LBnoFJ=&J@PY?p3@4VO@3XKTZz!w((I?h&B1;{<^}D3z@?c2r#P#sW+oxE zD?WZdKNLUwruEQ)lWtlAjYpU-7y&I9;nHa4Mty`;xcY6ZJ|JZ(g`?7F&afJD)|4gS zzUH|=kkpmc^f%<^UtKA1iqb;83Ir27-@QK2w6r$6YO}!tS?73ozijeZ24@7o61;-t z%UuQhKdY>mNbkH#;IyGd1fR_@R#PCEfU|^1CEU#;@wBvaS*9(5l8gCV;p89-rL_LS zFvK#W97nDS0s_w_2{f>n%Ji!?ySuru_xtXQpo;1;NvU1+yr~O{_`Y;kZ1^!kBZ5Rw*ooV2T6yFY7gR`MXoxS1hjd{ ziwRlUr|U9T9rRrUe66ZenGfxT=11m4!dI_wccLVDYl}gIW?BEo7lvp#+LeT1s|JoK zZJFpvyisf$Jh0(x6uQ#m&Vgd0R=FjPDA`?<)n8p znG2LEP3fl};`cCe`DbS7S8NA-AQ8S#0(|4*`zT2H_rL<13vFrzgn9Tdz?I=$7$7l7 zCxC70TIO+rgt_=Wz)hO|8OEq&kfkgP|LymX2bW?~Anp+8r_Z^lSePT*{0(BBNMx8G zITeXasD#JGyIyJm5_VV7c93$HP-5Swp9%lW=(M3vDA_JQDDDwS6nW?imnA0rNs@#X z-yI(c+%|DjVyZr+#U3FFra%&B?TAFpKy5ligM;en!*&*_3mp@(t}MD_emL=T`3Hx*+A? z0EkGa4xF9u`Q*KULr`_zeYNiZhu50009^a3ra6%{TbEDe0!3fr*On?EZT;s93kJ}j~w53L)U4$T(BV+?j(sF zz(C;K$OXlyXFB&|Tko>IZ_#;=IWv(LL;>xFkSAyyz&S~xoAP>bVQlFuKrP3Qu|VW9 z@oP3iK|CRcdQ%JH$GiN*STc}gzg$;M`^t$tKlBHI0ss+e6J}n*uhev!+2Z}gJ~Z}h zZhOFg1^C*~+tiKI=7aDkj_5qjE~}YJ_ahR)O?_J(Rhy<;gb%jF^tyX9R+ANPt(bEe%Pq(l}?PD?yY0$S8pVuwQwly(`UnnXz)T35q6&HZrrmQo{9w&2r! z9%UTga_ux;e9P+1j5ehq;Fh$L%u25K8S1-t;E&eTY$k_`)SnD;-%79D#p+CN=`!ET zd@H+*)i%^6Z^`abpW~8V{JJ?BfO@dVm#DXPeN{ET{Hr0{n-pG`eL%<3wg0ARtlBBE z{YJoLk?*E_Nq_aGI~3>Fw^Y|7y%Kl!*RI*Mdu8yp;RZ%$CJ%xVUZlNK;DqaeV$Msj0xvS%!*IP?P7`U_h3 z+Vztu7wZo1xVO0!@~w%crfqLeyL~~$v|Yo56QtkJ;pDv+rtf*Ai#v(M8`kgqQ{J-X zATMg2_EZD0VU*z=8_bDLVChiNC7F&OTWZ#d4!KD}?>#TL15>mmj6`*QXqbMoM5Ixl z6p!d0ySGM`-a3ImQbSQABa=FS?Bne?od^6=urI7TD*Fk6zEC~P@(u%4>$sWAbhKU3 zL5Fw#ykUpm>MUsh`T(0dnyet82IIh24`lfjT)Q}fw}7NbEg@_f_xr3?Gaztjf#c*f z8Fy;8D;UqGaEb>0nsv#0(v{@CYhhNOY}&8iI7{j%vMeSkVoP5g)zt2sod?c~j{%sr zq%m8zAjDW#MyVv#Hr4z-zpsaTt%~wkRSN*? z)2`B2%8wk{R}qFzdY!42;L@DS3~(I7s`COvW3eEGZ=rB)c;1_|vYA;1Y! zPtbLnHP-hAI4@Ar9DV=BOapbXuW-xVY}kh`5-bm^Ars5Q%8;o+ipfz^LtbRl@EQ0i z9f2z(sa0Rce`O!(roQe}smWEP$`5Mw@i%_>Yfu8pZe}=q?U%N)UpaUV-;P@?K8Efs zVKbq=t!d>QbT8mlpzh%FHZLYUpgZnD1}!ZH!vgb73+CE`(uARt+Gr>d24BA=sz!ro zI3JWD9=}pS|LS-cCl`(P=luWt`&$DdbNW=(z5j%A;;$oo&HE-(>d?7! z0_OXS_CQ^UC?UmpcqJh_u-rG-Y8yl6P5=c3x@!0ftO`<#D(zy(g` zG%dVCef+*EXgxSI2J24Ys*#h%0a+*>fO$dGNY!m>m6!Uvn8ZX>McC=9YO%nb)YK23 z(43oD|J)Z_Z*VjM+o3TAL9Y% z%vNnd^t8$A#}795kMGy*<4676;Dj;yIso52brl}7`mU6((X@mLs-Q3f{;6D799-C~ zfEK6I1P-h;9Hh2kETDxy>&lhttCYBK(un; zVzaJxBuU3Pa4OOz0?@KnP=cs!)n-Fo)Uf*#ouZP)r!*-LKJx9!-t4L)o(l{V9VZDQ zGFeIOfWzDd*Rm!Kg1?OrCrGRJ8{I}V5BBl#qx;s;;9-&gK^Xxx8jlk8mSeu0F)BW% ziaiT~3pm;2b9oplgMrfkIg4{ESxF};Cu~O zU*>C`v-d;g2)-Gm2=2(H3#ehQJNuq?!BYnW&z+L*ctc_w0$f& zohkzJXN0Sfb%iL!S#_X7uHGAQ`pmTu)UntWl;lLqtX>qSoaVoSgJ-h_B8pB))|w-3 zJo$ZNFFyW*1yBXsgA^U!c?gC{9U;iVgD+`Pz|`gTvwT8`4!5c`<`k(8sX7g92bx<-QYB;&g611UiMFE!JEN7np+w!oEZ-D5k>}pInBj@>rKP!$_xDPRU1R;bKm9L{rt5h&yQpSK zqNhu7=26Nd=K>eXzQkiZ+GGqD%Jg~EC9?%y58<3}g52ze+P*coT zkPFsi9y3o1zxIY@7BzTbv2O>d|N8n)Bflm+gzDgM8>2M0Z$rWO zp-q0WV#Ifd=w{AHKL}LX*$jU|dqk6ufpC*}3WUooN#b$$@IyWyP?ndNdV9A!UBlo? z&*&fMp5)bSf8)R#1TVT>S?$4`26N90V~<}f9U)G~!7I}LO+B^UM)hje7Kb`wdZhjp zfr-JT9WZs-y*y6Fu&?Kpr0&*T>pSAFlfQwRO2b!vMYBFbah9pq|Il9I*|;0{=w$mJ zpvso-BPd2nn9=51fkAr>NT=rPoofU%d)>c#TuL?L3#*c!xW?T?e=^fjRW-B>Ny9b` zjBmgkWA2B7K0FkP^4u{FF*aDL`aSG}-NN!hn=x}C7GRwXSd{FX6tsOlVCH(Bnd!+C zjW{0n7}QMm+D2dLDU(7Ao|8E;;ad{4;E|ttFyQ36BZ+f5QCGN)u1}Vi>JG?)Cvl!f zi!mEusgp5kGT+-T@$5k>lH(oV^p8zo$Nr0mJ{iv!Pwy(pfJB^{t*Wo<60Gg>s@v00 zTK_W{_4%I6qy>G!wuR#RIEGW9dAXw=#(wF5SO+BDWMarOD9E^QnFUU7I^;Bs6z z#qNN+c@Fvpa6B?wx&*R361yiz=ZM5IKNKJaZxQpfTB+RD|1_#Y2&jw5MmQ;92`w@G za1C!b!}$T`3F!vQYF@zrz-uQWr6@ZMF)hBLhG!$(wTe|)RgM?CLR_^2@)tH!)gt=h zXYKPE^kpJw=&aCU3#TJ8$cn84^J76)MaY6jl_r@$T%##NIvc6`y}$r)^izR#wPF%r zSh{3iZ*l0Q5!W;)8&|FEZLV-1_C!6eh@~9Z$JZRs<_*Nnswm51dt>1Q^8>?efEgQQ<;*5_U(dE^w~?5i|IO#Tc7Nh-n$CZ+_u}`$nAEY%iJ!hjrPS}(;hh^~ zj`xh)c~0(yWWObj|JFNTNuA!gaf*xgC+}!EtsmVX>Mgi-{hVa|U3&WTZU2xkdGc~T z9d6voK)iC}PAcX*cF|A2MB66~9iAj^-_Lt7 zod!F>GVz}AG%}(F_TUBsx9lULA|-~ z4}9F&iwvXrJWq;mc=v#SmWdlC9;YwzikIe~s^Q-HDRGEZ)bdgXx!}F?%$9|N6gX`f zDW9)po*+lSLJa~JZyOe4CY(8mX<1?sToV&(V221H%@NndbDh;5LFGK)SMzw9^$>x? zfn@S1lW#JCqY?1$L+|@Ry%>_gy>60r)F&eG+cfj&oNMe|w7ki#~9&$N>M`k1{5rVTjO76Vq%lrl2gX)}ZRnR1e zv9m2onzf27d(P_zNrvd^%%jaD_U%;ODbj!0xvK zU6U+}80o?fVn~a;LE4@#O%MtI-{tFKLQd_I;S?dDKTYT#Tn7guG1ZYn5e_+7gG@(w zRZ=7sa+8$(w3s=HDin??B>jOfFwz?4xP>jWpVxgy`pTkU)MzUfNok7cZQsx0nC7L= zb=p-dXrWFF!V8sv(Uov-pGZ>@Hx6i(d!*#h6pZftQUCJD7Hy~Jb5p#*)jY@1aC3Bp z`ZlE~(94p*r}g1S9s=-_yCfEgAfbX-yyUdBwcASEFsmK+(ph1H)Ia&cQ&G5sgU}_z zz`9y$gb8-SXOGm&u**PuRxH(Vp0@*gq&$Scrww;eT8@TdbZ>Zzuwx3XO9l>OE)3?1 zVy6jtHH(vg?-h-_#K?QfmEzLTh2tR|lI7xRTMOejQ5JUT>BDSa4*bg1h#^z_QsOKO zaGR{f1brK?;<}aEC*-;`TBK=^c-Fu8;uy}kA2qpm)40rjD9m>3vPsis@IOJPvHcEB zhzEiht>4?G8wPc%ll&evHY%g=O{zBN4rtAHvx>9k@r-mcEl z*K7{d6U0Iw2$CiugIi~w<^iM}p3afoZi_(K0I)&l@gpX$Z z~Inzmlw*A0!Tz>)APU|`e9wn@qj2C zY*{$TkXnJB1Acb1NnYQiROivNAaI{-60g(H5&XT>`dRJINXDK6R+y_nUpXz&CBn>s z-(tnKiQ48IcENF0%K|rPOCirb#*S+MMi!8kDO`t+QdOt{{egQ$H&vL4^xQG*}wZ~)|G zdrSgPYF4o-#*FS~HTnr_D1&y8hwWN%L>w7yE*6NqVwR!eq*hN>0*vO% zqDJfigGV(^zTKDADQCQ+W=^{rhbZ9md)-l=&~md#^H8iXP;b#mkLb{v1_B!_>2wLh ze8PzGqtIp4AyU}4-FBu5YhID*2EZY^&FAY~RaUDLTp~JQN=WYLi7PqoNTRqv=g;4JvwgH)KhpAkY=sRmDPCjd|lbJ7F0S?2-uqm|QeHY1OmkCC_~auZ)?2z7?I&%k3qD{owGf>XIkv^T>Xf zFSgZg!JWlpK)Dhx%7hHP&y_k_O=4#*C_;Rz0}y$cF@XncGLFpbGi4?d&r2Eob+@3i zmmB3Hmm7ypoc=0w#?5uzA*<2;^bOEAM}PBv~5-UtJ*D@Xn~ zkAIeDr)ay8_F%>Y9?h6280RoEzNy}5*S5W?0loGzlm7NX4^<1tnZi+~n0*ra^_l8X zisB^Hxni9w8s+lD6ljXNYBx&eG+x9~KZ9L3&K8fdnI-3eyYX0`hPj%=q;*E|IAh}A zVW}@IV~%4*)~OUnvm!``T#3$=_PIFTb_mtwe#aYf>;bBdGo^a#aUD(A%<#m{k$td+ zDVv70gGR|Xhi7u=?Vu#RxRAw)DdlGoP>xf{@;%yi$yhBJf(F(r0(u{CeQAEN`7&h5 z&t7yw4WE+=h|6F45AQ1+;j_kbz)4kz^`T?H{#oJ7;nTTv^r=^#dW<7uprNJ=iQIpZ zT1IBHpE;_T7lpkClj9<TEN`@Bz=qz?9Cin@fP2E0nwJ9q?|b>3jE z#85@G!wk4yL;jBP&k9{vF698PwHcM%zmS>Qa>V8Yt&6FpZy%T zq38iW%N>s}pBWbo=8!w{*A5q@yG1qbH#5!?{4ee7iWhia%k+Ag8isBLpC@Pfp);=< zL>&&5)g(;1J2-q+cU*K{S7dDTT+&xD*&O?!}e0mW~b4V9}6o)4UkXa9V*1p=?bJFj-8o<@ix`xeViotd{ z>r*qN{~p=lfP17;Fq+y-=p#|#anpg1nCXd0d0sEt16-vxh=%=|UCA|evpK=~DU1uS zek^c=-fdSoNU)@1X+4am_rIZogyW&-KFM;j_&>8Et-# zzw?{|Pm4UiSEuLon`&uhKY!%W$2Lv3=cEPs{F)ZTGn4D#zB!rnysld&fxC;IkgIz` zQE&XS7cX9b?Y9EE16gUT);9UPV;l&wROWok-*n8~-3WdyUJPu>1uTkKLrRZ-dQogK z!@KX2?Ey?)-w8;`5=dH7sYBnvm7Jfr0%zfo5fhMEk7u|zuo&C?Qf$Pr9Nx8W;?Vjp zfBIh;-C!6Gr?T%fYF@MNY2_HsyU4h%y$k|S$CZeZXCA$Ev4hVFZC{IS%?VyP!2B^x zW>JKDY$4aR!el5XG1Bb>w+?iEXcl~gy{!_ zvA505oh&uT^a&XXyGrR+4AQHbwCbMpEsHYT{D}C-9VtpeL71|IlZ=|c6(6@~+(Eh+ zY7W51R;T{Ts4p*LsC?K%t`&JhdDF;Z!Baxt4gHml`U~`Kx-1$uy_ITGLElS)OqbzV zkv}RU)U1wj5$*RA>7^e|+oW*~n5u7R(?vNTFZ6Ud!Du?W&T#$ZXaY%4!RuL-yy}}} zrrM|*M-v>JiN!fBRjlbK2%=cAa5icRCMQUN@+4P z#3~AiMg@dDGpEdJ&mDwP->j+%lM&rC$agQ;HdEXeiTuEd##?})InoajfW^`E$I^rv z#a&}Q44>c@_1z$Jbt$10jWz%>P7Rl%r(YoxXWgyV49t-Y&G4eWsCR9X0Gxs}mudeJ znrL)Lj-3jx<$*43v={i<2#VIpJXuQpjP^3qE*_Pkkc%-%LoGkD{^KucRM(|q^rBf& zw=e^1QiWGN{vxYxfb5y)s>u<6Vb4aNE@&5AI}M=VatrSL46{`&?U`bo+96#tuUos| zEq0TSzM^vu*OPhK%oL6BE5O0?dzP5kUXVtZpjv?q-H3XRlI|9;nbdsF;bJ@XmLF{2 zkT$qcGN~T5xVL6QKVWxVCWU+aoqziKCF|H^oB_Ma_){MW4pe4$eX6H?iz<49q#%nN zv9Ckm(LYsO8T4r15n|i_Za|hK#;%jutT`0 ze2o6f0O3Ef(nAK*Kl{K-CN*U={_{_U>S&--h2r`kFAjPr#vh>`hvEV3iX*R9s!`%3 zqs|Z9^FPUi)4dQUmm}wm;5NN5@kSLJPqq_7cWLL-Jp*Xqa-#*(B7I^e9zVdolz$Kk z!6sx#>OW?5IH4{!>)pNLaB4_!9sw23|bh%hG~N+;gpgeaa}me5dqw)-CDtmij)tkl3Fg;iuQ_~mG+>*z(32` z$&49dyEkmjvzH#JfdD0W{6`%8_xO7Pl}e{CE=47veBIRyK$3HaA@b0+st_wr;!cO0 zcV4nqnH7X|1F$TyX##Ig=0b|OQ-L!|rvQ6-#p4d4FHQ<{bQ69)#LlKs+)XBWGZ^YL~Rp(IG|IOrX>j`umn` zmkQS?psWeF*55F`QW)TWQ0c-Pi=#5B2A9sDuJfuWQyyYpho2f74)2gS8utvbFm z;}6unu^-eA|E$~RCeAN-&kycAvT!IHLQ^-2EWC}nfBas3Ktnf5fTTAYyzBM6Q=Ba% zRfDo6j;_}|Eodh0w7Vzh)8Ls1 z8|420GNnE5kHrE381tNcb5$*_Hwf-@9a2a)YlNMHBN&ORxsXoLcUH7e)hK7;YFL z1d8?l?w_w>9txh|tvB8@U@yFg%!tg4mysD+F}(cq0R|+tBvVwY1-Yq#5~)^!gH)g> zk)m2Ijso;pXn5ZMC3t1H1`1Nc+lCjm&v(v^h#NV)|Gl4-#CrdGnfIPM-+S)4=X_sE z3x&1`+O7bt3Rem|b#v+-bP@5pw1P-6TB2bY%^s@XEF}#@wvnEZs3$=*gnlf>Mnn_6 z+UMKjMy}F*O8Y01*Ek6R99yMDThPsBj8J_fR<14v+-K>3eSiUz)ivC~Lpy~+W($Ze zx?iSS<3Ih6UU?-0R6;RtX{pjJv#RN4$rx|&-)DGVc!cvAPTw(*-|#1}djS47;$)iO zWGxWgNOx6`MFCTYC2yqwJfIh#MX5K#fw42$&80S7@9>Sc24Xvz}2!4@}9`i~4RFoE1iH=9nF3r+MiI(v84F|&9FPcu_$BFLY z;PCu=PO?H)J=4SeH}{I~yM1GhuUlLQPX4}(qbcUofv?Iq`sV&lg02Lo)P0_ljz1I= zUMMDdxnjl;`IU-pd0|P~pgg7|i4&k=GB|PJ33BK;??Or8%e84s#~ed1(>yrvWorJS zlC zTx!Axoj^gK>%#kw9 zk9H(&EFZI1N#rj;x^$g!Eaj(jrqFqgL1@f5o-q#R3IbqKhcH^qp1drs(-kS=&@eN= z$B|5!x71F}IHuK%#ogq0HX%jhB6*j@BcF8t#D9fHVA@+A6*}~S0K#x3 z%Zhn$VJ^o&gA0@2F}VYKH5Mj-ZZl&@p^`mH`zw!kwzPx_Bi%U5ax{>Q60!+!_w}(( z{kGey?AK-nU}|a4(B$ZB39d~=WN8h;;}l^N+diLG!Y~`H##B~6;EJnL<+OyUqI;ye zP6YRNmT`%;fZNB&wKU85@;tq{o?b@N24n|{-C=Oz>5mJQp*3M%gH43Hd@$}ys>Db? zHUtGLKtMLYiGP)Pwx%YeOE~pcJ5x9I^6NQ#C~b?wIN%kN!+Hr4Ob=*NG@&zu-_Z)L zi#h4S%{*n+OnziXR%eoxO~9T*Qv*AWK3Da=i=nip1LC`T+im{ccH)mh?!X z9i(yX$_%pBXT*!ZKnQw{su&?J>X9!zXPJ{01A1W-$DM^o93r^ zM{^2+s-@*};du8%EVb5}kVnV9x8!(W!AVYgg7P9Fh}#M*Z0Zc)9bSWUsLXF+P`+lX zR)rnub+*qpDedo8U??9t_`{!Tk02-Nl2#qUzVHOYhzQC*)N#&CxcDSrhbx6L$ z1D&*c5NDEpKHz1_{qR6;cN*COR$Kl&0&I_o@|!SJA6h6kWNm zT3&KxziRnDeoy=>hkg&}r_nN@`26lI%X5(;w67BS86kxiT=|sFz6vOh2Zgwch<>-Z;Z$_O z755|RA_F8^1;g_t++!XR$2Mo@{-D;_+y`M_x9YW3v0Nf>!DFEz=cHn!-zmQ|D=#N!j8bj#=Fc&-}FfImSW*J($` z&fV8jWb%h85a6d5Bdg1mqt??W)LidXgRxSmoW^o}PVI1CMMzB(DdBWMKW#`#Bzejd zv|l98=Psiv#tx_8hLEhVZ;p>{G18*BdwYxiL+?r-b7cbV5tYH?{&vtBc%qho0ctR2 zGQlvGzUl~vr;dyzrW|T-{Ol)Qd4)af#9<3;XV_f{om#qB%oWD7H}xY{BGYnK)cJFBTNFz~rU4C$J-zUb z#OWhlqWJ{s&r^$|oSDa00U-w}b?-*3D!^?O&j|^qF~UA!GO34LHH7b2@Q|avzRpDA zvf9kjbuUwzMqja?Lp%|g2`mQfcp1X%_nm}{8;MHoIOkf1xN&w{sVj!Q6*OVm%_Wm- zPig}dogppFJwGk7PYDOO;~`aLi6+%*^6e7Tb>@y*OqU3S-Hb3ls)avI%j3r`GkDQt zzvgKL&Q1vzR1BPWIvSS-I{*QL+(M=qv|*O1=7ghRf2^iH%Bt~^X7wHA>7y(d+@uJN zcCbNWKN#l*+etKI#aM^)%SgOj_xVSP1Tgaic^d#zFL; z)vPm}AIZJET3wy!+==cVMfeYl?_$BEh_f@=muw@$xp!{q=+i*P%8iE{mzTRV;6MKl zgjCLaG6$}3wLQ>15d>u%t7L*~6EA&=B8(qTNOeI7x}=~xPo2-@!BO$f1(Es0qq`Sf zo|!heV2ZQ?zgT$XHJf$SRdf!~|Ecghn?TYTObS1E=1zkJdeT(|EY|Lfa?X<3p0WIl(j|`bW2e(Vvg{NSs!V(O%ttIaY z)#kL!gtF6Jl&+p2s>&8!IiSy#`I^Kn0Lk6sAakR-<%yUC;ILjzVpa^1)Blr$P92Lf zWn8qAY(U!d(c%R^fPRXdA~=FA5w{x3z+x)a5G4Omb)2l5VHS@CSGUhwX zd7i*O1nB5B*4F{^J--1bZ(=8U|-8L0+&Yhn}159#0~k{#BMy0gO89I$vUgTP*0erfYZxH#??lrwK^21*4G{ zYex1xl?*giULkTy^#2GKp1HmIYSRo|%vOvi5l_%{(E@FQT3<1WSCayK5B{O%`ugsj z^%~BGco1q~Ydlvn&Cw{5?F`;6bgopiogDqe6MaYOb$%)!c!MO!Tr7YO1_P#ez*#r^ z&-&1yVpJu@>_6EO*<|q~;>iafSs(%S|6W(PThkU%pB)gIYB5i>WyMf>?TRM}6K|6a z)6!DAG1oV+5pIt=^GFm;yI7{(YqaQUEbsBRdpeMglqWGy3Z}TS*by+_GNL#Q{|e}Z zr!5BjZtP39gQ@kI$^Tl-VcnYLfyS*YmKMA5H9575=K84&+VEoD@Yd`|*cR(T|F!SC zn$|5lNIf%ipbCOgS{S?g8TH?MTv5>Sy=lJU(3T#Ck*$hiPvm3SniWf`N{c{1xNHsR ziLpPo7^PrdHG6)z$QB6jZdX>|@^LH_K+{aY*-Ut5@q9y&p-(e~=Q6?c97lY@GTkh7 z6Rjf9G-D~LoYA?Qc!_fCkk8pOS<9+S%{B(OkZqr?s2Seaa3% z1JYm9OGxI>Sr@4ZYidRMTXrySV#f5d!iR~7=l4oT02~2_v-Py{i9JuxWpwZm>-uMN zO0Olh^xFNIoeP$p*Yg4Nq~J^LVHlEvx&e z67lBaT+HUaFq?NSn&wma? z6pS9jdmva&oT`oKBM354VH(k*pnY-B3#J!kgK4{Z1~Zo<^o~GE z@sF}aS{>=0Noq43Y1&oCdb>oWc~s9tOm7)6&FO0x1k8xpsGJG%cRP7BXoet%W?gy!(5 zN&3yo+DkZ@Z$(}l1V(?y4(LvtlVV|o_hxnlHzu+ZCmHfOE?vZTU7dBg<=>m#5z4XH zkLkP{vM2KN54w43iRIoaf{}x09+8A#ltF6--WXei>VWh`@oo+>fNe&XF!;oihQ9Y4 zVWJH}C-RN)eH_?)y-Tu+!@R#XF4u-z6eOddWOU>v0dp$c1PmD9$a_H>`lsP&w0%LX zl4b1MN#u@V0J&W4QxbuHhOGPt!#;vxf?C5?&&cw9$8)sSc$Po3<^}Cwm>`-IaR3y{ zVe8?E46rV+F4No)z;xq8^D8^nZWd~X4^<8PAYpB8U6ap$>)Tg1OIu zowp?YoeoY!9P&^Dr;90-aec05YClmS0Zt?lJ+|VK&#HRMA(u$0H;MbziEQQgk*>?M zzD2v!x|sPe8%Oc%3aW8PFNo-{PEms}TLVwP<2 z<|%UXfbE?7O6%;t=G^5jb$N~Z9h8vvmik=H5I2-HU<2TMK|28=Use@77{+07xzk+_D6NQ{QloKAH~x;!FI?5PeHVM& z#ctA%Y}zl_G3upH34${>QR|izqng{UA_aiF8dx3_HfA5JZZP4O7Tgo|X`LIt{_)4L zH}sT;h`__6HCu7EId%)sk_ytf6;dC);U(bivwa_=2!LY8jiMMic|jxKUWIfW3=Q!- zn^%+>X3*XXu$jvIC#Dx%c`?l!qwYX9#8ZY{t;>pfv(5yUKksP%wBYd_D2!?Ql}Sc5 z=6I%awGK7*g*?k>G8HwD-0l?}7|P^{kiV?V0c=&UL3qU1RA52kF-10lrdzD{ec6O_#+1&r*F)#oF*kmzpEgx75Lhb;w8 z9%^mS2F1Q~@Y^UY-{4@c7F#k^xtjJUZKES`vg;YEyx88#upnp+VIS>neq0ecI)*04 z27Kr+XLsqAxj@fOV6e&eSsdSBjAGs=QqoqBJ?%q|GpG=-fYhB0q zj~}@yH7!FMEI}vNK&OEUVg(-P|B^SH;L5QE^6Ncq=%fz!Jso&V#SX6q+EoyNEwkkK z``{`74-7U@P}0;wG$LR6A!UvY(FPjcjmEFtH#`rrZG)*Bw&oHicnvr!M60$1LLG;V z!K0xD+fI3tf{%!rU+s7(=4G)-pId>WQLX#TZelLdf}c=M(%KWA7WQVN-LGcj{aCs^ zS?X{TUzqGYukr0Di9YCQ{9&u%(iK0+N$Hcc2_`zc`1qenpkD``5EU^^(GF@&cG|$2B6IcC3*N z{w9+&k@=dJIfPLHy0|HpcO0Evji*TPptf|Aggfl9%w%Nq*?zRY^YAr?rsz^3EkPOT z8UtRcq$!g8J*be^=KH_;FMs^~w?Fv$m#hzd@3-Fji_d=W#cz=05C7s9fBZ{72X`Xd zDz==9wC!`b-v9MKq%7}!@2iySgWvvFAAJ7LXzI~kkb|^B%;_iU-|Ge-!x&D(;I)G?Z5WtKmO%Eq57l8 zKJ(4@zW@90z4NOd{Pv&F?;n2m^Y4G=YwvyMJ0E`GS7_>ulKdBT!;io67a#t{Kc_8R zuh)m){mh5o{g>~5{mbwF>Tg({e+BO)(h7R?bQ#yPqW|XefByb&{?h;Tb3gy%&%O2D z557nxk+}E1`&p7p75?#8fByZi{XEt7gU|dr75TyMe*1&p{~i*&^P5zO_doY1@4fSL zAO6lSP)axl+WjqhEcpNV1YD%$VN5)wb>{|ts zR=qp~QZP!$rv!hfIe`Hs$&n>|p&OiGv>BHS(NO*DsnirieT$;K6%>F$Snu~m!eT43 z*2QL1K*4BC(rri+*_;l7M1_{{e1R%311$%LK{fQ#L1tpbRsr&LcnSenCF6+w4UqX5 z(&$(?Vol8khz89mrln`V?vaq@)zO5)!2niL4(TKbIKQV;Z4?lV0{BWl7k}hNRc%*S zh($fA4NMUL>aXc&WE>AIUdA6qx@=b^WqNpcg`3YaI2H|`Y|qTVQ}JWG%qSg*O8{o6 zD)v=jO?$m%ILa4I>B-{)-ndDe58xFbX<>l(bha%US-z>PIt#8WW?tSNfL&V&|Kri@ zIfmGU+<;YUYAG#WvE1F{mlm)r-0@u@9L0ndI}I{l0xe#;+mR;l@HsfTta_u&2)_Hf zI-R#TrT43}MGP8^dQNx$bL~A|)9QI)l!)g5AiK~o)2=tmS>6-p=_8i2^5WE*o*;fB z?foeP)k00sRma{khgp>YQ2ewU1YH&gLLkMr*s_=A&;ft&4*~gl`k;-w2Y|u0O;sBM zKO(;}gL7}4Tk?;&n~O=jDCz2^U5>QpF9uWNr}JLW--AS2L$G(fjyRS^f6m|R`#}o> zrq+zpnATn zG`iB$(XiS5TIF19Oth3r70`z}aI2=!<8U9$?JIW^iDBrPBqpDDX^! zNU?OeNFSGDQz-T=q7=Foz1B4;kHek%B|hx48g}eD!-dg zW+|z2@CrA@;pVAUfn`}_bSZkd%=$(__4ujDGUn_MODFW1PB`vD?rOZ4(JkVduG8$A zb$_>QEAXn3_}3XcH7_fKk9IrbzW^j99>Qft^x%Qe`{hz@?PjS&b&ZeWw0xGPu-lXh zev@NXNI@vq=4-$)d)`WTCA{UK&%-j7fl;@);)l6Fj6As$V5 zs=#Fk2FnH;E1)hbx|~oGZVJS(bzpPTMZt*RI%fWy^zCMv*9Si#3BFF@fUjqwVKB>X z&ZrV;iMedy`8NPIMXE)qy{iM1eR^Vvzo3tbbVVcSKu4BogteCv${uj z6`Fu_8xAawxvys!f2_CmIifa>%EGPBkWltHgTPxLigtht%FVcjPX-=Q*&V*m1;2<8 z5UX@^zs+k#m<;;@*{k&S?t3Lr<>8?}giM!Jv$^T_1qaD16hjkpQz7_~2`cJ;M7OC?d8%PP3U+UA<&bS!Sqar-1`PWl9Su z?_(i&WKJyFs<<8Spx{DCui3#{o;@8b4#k;daR6!#`wWL{;jU{_i)?_nz(BXB1C5QZ zwlj`V498jLXuiV@g-dMHLrL2S$alAN^=GH;adbWSt6&IgCj3ZLU%-Yzms*@+m=J6R z8b&DqTjPIeb!$evwIY?L!5btPUbg6!X%EsARhg!I9FZa&mvswnqznuili7sfastZR z>~qB61f0X^0aD7lKfhVuVBt(g+3$0$)7x~tq7Sz`*=;qM1P_pwOtq#VT?vO3ILd6R8Xw zfp5+HmXFwc*UideKCrk0Utv{u@4mH8Ee!`--L-FM*z?Z$CiN2BPHE|v6e{Nq@&~}-BLv#CG;e>k{c+Ugfw;-{Q$`QIKc{g z46a7EMcP)qV5qvy-P@!elGZU#>pG<(EQ!mcqVC>qU~G6f*-XoA$Kg2dGSE%l93a;ISHi^eAk5~K7ewFPCX>Uyp;r=M}X6sayR231{W zGCBJ`L<^niBuCFMxwNWiI2r7CT&v?`M$h2WQ2Nq|^rGx&5Ir4z?o=jB3Vl6aUlcCj z6713ct%^#dRfnHZY(nfg1<;8+1&9~z)kS;2({n*bX^MS1g*AfBOQdP%nYB9r06(?F z&;}zAX>`EjNC3pdK9TZ3Ey*`v{{?@=wks?ZDr0~oBfshLNy@72HdRgvkxCZ80KO{o zRlb?lVEFj74z$R|OuF!+JXUP5TN%HChrk^TVOmZyw4_lm zlW*U!P1<(TX7MNLdv@@|$hGONyH8MHfRO8kQPXu<>cd`~!TRnv8>WMLW}XBmIoRa5 z$w|>`ACv6`^D#0II?=r-S!fJ1bXxV}i5qJPPiuUfI?__#w;Up)pGwo^C?5`O?-QMw zgF`!ZY@BU`$8nlc|3;-xjJnIJa$z!H1I*%DhJ9YnaTT7Whtt&<8>GfM3@&XgHUD`}^3xf2vRsF>_bh5@X|b+O647VF z%%B$1rqh|=YE~1EZmB$qmpjo%wl$Szf^mp;mts{6+mHMu2|Xm-uc(B!*s0om3YY2( zEv(0#MUvI|Ahb)X^ZUMQwCnYT(o}7}tGY{*(d(1-HC=WngJoqEXz4U z4(SH*m*2AxJ_3g(;h=`s8s3e~C3V{E0G(do4YRe1JYB(RI75{_$xj$9)q0WE8y4zX zwvWyUs5t;qVl|_&R7egT&Lpzrmnx8sJH1MZHJ0IlLp3?AEPo6ut7{je5|eOl-IyE$-BwI?n+k7OM~$IgWq-OegBId8NMi=4$*QC-EE&B9=-v5&=L22lX)e*>VJR+0Lx8{ltIpC>nb2FpDzyo?T=w~~ZiMQYixv8pl1>amg9El4$TG{0CSeP#q+OY}9BzpIDS5&^!*gC*Gf>JW zX};o}1Tn0E&1*ie(yT_v8Z4SATvag{l|hv{OX8zDp&@Q%RvVs0w;xm{R8LT}=I3Bw zoC{;vjG9*}pnTYgD#Siv8g1&v?8jnl0zV8~YBj=^1FjCd9{1p;pZ6q_H+h-fzIm>N zG+Anf&XWE|0)I37roNF^g*g?HF~q9@58S#sScnDlK)LHZmIIuUjHOB~_R(UOT3l6iI-3=JZy_dL7laXq zrJ1V~qDuBtMHQiSmVE^%tBBfsvnZu?p6?#D?mzqpGmgTuqpr<8tk|$`HtJV~tnWXj zZ51ygjZwg{cl*PCMxT(1z$OB*Ir>yrz^u|vZy>pv=e}5~Y)0cq7`%kGUlkL_amEL> z8+eSp5?L`Pu@T=)GS*d=zx$R-5Hs>b3LsL$RUxlPg4B2H*{>5QzfXwv2aw zkeAn_L&C^SD^7?sIgK*SgbZlmkOI5-n4+9lj_M=GiL8KuQvUT*Qu!W=%fqAgz}c|^ za{io=ls)c%dN%LLm0{^&XK*&&gEjuYo)DD8h4tUPRQ3 z@TpPkr2)iz`ZqNf?rCr9c7=+p*V{Ib#nC2^1_LCGM9 z)&gVKrmUUvNyAU}A&=|X3WcC@WV2^4$2WW!gUP_9c|_eQ8bM}g zRJGtkO*fPqcq`y)JAl5>PEs_vRMK-`V)Hb)iQzM+r3O+&>hrRL+YG}gpYJ$7PHbf} z7eSt5_>rYJqmPGDOnsMz(vOrCTS@W^aI|};{T5uFp#g^ygqoDVNdJLaY5d|c!h&0? z0<9FEApX71XNXNye{sM-+l(vm6v4{V;%qD#ztq~B{hNd>gS)0Hi79^7<`bW`Nj|mB ziWDRvr`P|EpJM;pl_Sl&6DLWeaE5&?(#WdTWeOtzgWjN6=G6dr=1HlZ^Hc&*_U7!c z?KVPMkLXU?&)}{KK6b%78yM_uPhk!RW1+qUGWeEB>>OK|<=qRdJSs0b{v<#s#{v7! zSSB4Bz5+EL$_xQq1n5=nS^rWKQDjDX66L{N|B2&G8u*Mf8M-lp{dmPJzGWwzzD&In zUFdb*wvA}43=>G3;5|Zc3_1Z7iqBQZjgKniPJ8@PnV~{pAEy>pQ$@<`a}+2bWoLWc zO-_0p8j)aMKs^Q+^rZ>L;6z5E73)ERMht&xMnb?5oEG}bJSy>Q9gb$&F5fl9P<-Oh z<{t^lxviBS43n)i)eDRx70|^&k2xyvXo-dQwAjPtN(+|jA>nvv`JvA{H`nZwGTnzQ z<5?kwV$|POdT&7J`QY-z*pP1Z}8eJ+c>5=Zo=sows#t{eSrc`*` z(&Q+`rD@E^vWNSx7C1PZTU;tXh@RUdy`$EK)6NYp6)AKCj<#XBhzXFl3N}Yku^ty2 zop!N1Ez~`#6jg$><$0N#05<>$m5qo>;S%^8Qg8QpzLrB~UCh_GHjlt{0#~QhH=IT$ z!`N*}Vde{=0kR|Ii8DaK$8S&;-fdbLF%A9j!KCwZ+`p_>m|5B1NIgaG*j6lSbumGf`hJJ-}pgU$$j97g(-*w~UI2-KUNa#(n zc`wSA6*rtMqEq<54zTrtJv}2WXPA(-aGVq7NX{A`XN_N!wd}T>Gda$gys*%+V@J}X zjJz5386(;P?Bk40#r~wuaYpAw88_@|3$l@EM)!p!wyJ}`Lo&_l9p&})y#EM+50uS;IM)(3B zb3Ph9AJ=d&py0Kt18@w!@?i4}eG6AAQgNEQuh&I|TMBaGnio)ZC?Czd4+)xcND$b~ z#{PnFP5Q_OkPj}7OiGhV8i3JN_>R(qFhE8qk*-!WIpz)Rp?7a%6NMpH%1x{!u-F%Z zs(08G@=C?M43jU{JF#My(olbrV7Sb~-9As7DYQ|CDA05LHRNH3eIx*zC$; zQQ*;~re!QKPISTB9*V8CO4sXD{2+GKt}Dg4lFmt*R|n&Hu`N5me>I2|YpoA{^BW(2 z|F_=%=ilMqe(;O$|LV_K&wuzeN_6)v^UZg^Mm_q+i0>}%{*->MS9gC*^^0jTgs$&W zpZSq-iu-MJFFyF@&%OUI{(^q{-{`jw-}w?Gy+x_0 z%1iTkargVQaHxboW#KJ{rXTVx&9Ee~yu|Zxsimv-q1rApP4Wldc<22;{vAk`-yr$$ zZ~j+GMAhpBAMU=x@awBVtn0$=9=ajSRiSS*s4@QQ<-YgMXFvGj*CAJagIucK?^7yN zTM2GdXY`%IqT`5a9Qihugl8N3Zl~Ax>t99JqQ3ka4=*``CwEkt0Ar@K` zJAmo4L*ot7Yyda`Zx`Av_=Uro9XO)1L0~8Lo2K7tj0`Vmu+v%+|3D%lBgZqdJhEf* z(^7?-S!^3kx1DwML7wOk9pJcrX!ONdG<76G0lrY1obPIEejLAXl#{0wQ`tSnxM>@6Py6pahfK8)N%8I6Zd;0f#_ z1;?NSNoX`VJg(Cnh>Y+BHzlEk{d*sK<&{1liI?RH`!eP%ykZwcjgG1FO@a5_I$zRC zL=+bM%LT5cft%6H+|!jav;OK2{`wdG`WOG|U;p(l{`D`K_~Wm>{a4@ot3Ukf&zg7{ z>zZ^^Z15|x6o`Z%9eEegUx=hkOk`j;8DYAVpjFEeh{P*mMB`41Sc>RGhgzAPZEP z5sHSYa#P%p9$Mzu!IwZFTJR$-`e>bJ`DW}8$JnHF)+65PXbgtWNh+QMIchJaQJ-Ed zBK>>BxOHnF7;@AmKB6VP1)3hCz8;k!%t&=NE7sJRTLln8N{bJ+2~u&*w!Y2b7zb3< zTNvp1!C(#lXzSm7?ic>{tuOrD?|<>%efAymZ~xUd{_c1G@bA9(XXf91|8sx))j#^X z-}nXds6mpe%)x{Vz{k`Ap5UR($9dfMC%S)2mrJC(rr*}I7Mi>QNZ}rRh|n5**L1tF zD}CdC|JdWO3a``oo20F<95FW6nS9Jv#8Jc;^qM~gD1ZC+>x?C0~FsX@# z8)_eed7eX<^?L-F@PRm;!2}xIJRpfi$N0G?QzOt)yAx>HOGu?U z$ZBvOB(ANe42}O=ao(wub;CxW{+MM4jV7m6p7r0TzxXS|iNIh2rvc^)r$ZmehoDAA z+-8fXdIUk?@PJKZ0|+Z&^V=dlI)Uyv5aSPC9iW0~AC)%*Q8I07Y^UaTU(OApXyx0q z=*l(lj&k0D_-kaObG4`k7Y628Y8gp?);>%`Y`fyu&~H!=%|=S$t282Umx{)OgrgM zL+XB2EFmr7!RGiwngAe4{0XE14zsBH4a1ah;-5&M*Ee=vR~tOXjjh)EZ(T;F~O zS8!W7n9y$0?N39#XWt_qXYX%~v_Pt# zXv};Xv$Wi;fECC4%1@zwesG^mMLjV_u-AE!O_D%FB*DjA!YWl$=s{Tn#VW7@y)}TS zACc8Pm$mn49Z#fuyXe1_TwK>79ea_UjP(n}&{UzWR%Kz`;{E&$+LXq6Y$Zhw0=UCUbWJ`rMe~DG5-y4oKbkhs#v*^24SScVB9A zGkdMT21Z&uNZ}pO#ycQ@cfekcY`6m#lFb2QyaS4QDH`RFhE>hy6}$4iY6-VJr?B}a zQX35^_<(&-GDqos5ug63QYU+Z4NUCdKEn_E&W^!wB;VjdnbM)m4AM>8WkqGe)?+vc zKc2_7wQpw7pkaf-Gts$cdK{uwgwuCzEN#FOw4wP;|+B ziJTn&8@^0VpW{_uCMTXs=z91PIq^Ufc`uU_Z$gp#GCA=KMR)u$C&+bhDah~1_m4lK zKukB-*!$NWm|gjm$5>*MC{mi0*|KVG=eJfM#!K61c6Z;p-qLq_S`F`hnsNkU8Z|n6 zN_))hwzBXb1N4;ne%bRlxGdrX!!B zNPL3`xqkhMFli zAiTt*l)cIRb$A5yU3cohGgNI&hd5$+!3PH@r3IJe^)0d;`^XFDQvJk@6OVdPVoyD3 z!V48F#XmL#N0jfwA7ucyPRABM2#v0jHXpEzta4NjD=Gw2_t{3{#D)ya9!;iF_?poey(yPS2ig# zfk885p_^dO)x@)}V)%Od=gj5^!Rsx4oZ64B0=gY0l(+^?WDN?Y(VRH75ps^ezDjJk z(@)vHQg{Y1H?@%WN@C{?C%Fnk5Y8D(nzVP{+M1j6_7>4F`NV>{%{Dn+aa1;Ha$x(Q ztl@CK72UlSh?oaYZ>qQd-EM9EDA#?Zk*+zSV9hf%P@y5CD>Ra6;4)wPz7CB7PnuU8x9dV46O@V!=0K6wG=~&-% z+f5mAjM3JD9<7T#j@ZknDi50-ZQL9|Lkb~6i0HtWo(M9d82_4 zy7pKM<~{v5Dh3c?+eV6^b4p-m1+mNW+$%bkttH-UuZ!(9u=%^nY=D&qgFpe_u9s|w zXLCb}ZC22(+2M@q>ZU8GRJ@2`_YlU0uB6?Q&+^+mBi{6*67q*E1;Wh1H%!T6QX86i znsNN-=zt1%@Qi~6NNH{iL{SzvHnL35s)$b6S%NnIYG$s}&4vnO8`YeRB)n`51aqfA zDCXGUr@9bS7lEqlygZE5sThzg9h*yu%a~Wjp5eaEXUy--**sDepeqob6Fb^g$CJ8E zmlj>qoi{u>V;ovp4j3O5&~}?{5Dq`Q-zI$cI{}?TByGtt&0C%>JyY2vsY@$0Oe}b^ zZ128g;$-ZekMEt#(&k-7U=MMOye#+(XJB2t?w*tAykUn|fRc5Mb-vDV+T+DjKfu)^ za6CK$!@Ps(#C!B{%VUj8vp?s{bg_Vk^L;|;ENXMwcHyj|Xy}ykpeKrYLPu)XJg4QY zzgkaT#ntPx8yf8j;d%$~;k1o@c(U+l!oi2gKH2}5G{JA-P*`C&;E6{n4p#FfujCDS zWSAR}m3Jv`H8s~=UaMV=y3#p*9UY%A`K2}@O}_yDlk(MbJ?2!a;BJ%^bZ!^43k)Qk z&Tur7;>htVbhqBa>@ZMadLw~bBu9PI)r@(hx(Rj+omMe4+>Guu$U$1S&Egl}l5xMSl{ zdtiq4v2`NiFdu>dX7UbNQc0&AFtBeoc%axN2g^0yrv3Jr;?{hsY>jPCcOXz z2GW%Pq_dh}d<{FThx%O>Wl_F66E@iL*;^H4f^Y* z+rlqpg`46ef){_3AW=NGFkDZeswm%tVH{}D(vER%h7J7XE@G@Ry6A41Aa#_CC@0IC zK^QXyN$&(~7++HTaz2CTQb|2GD?4g%df-7PWp|q&RLw%H!yNB&Fi-+Ljx=jn0cO zL~zIVH1;^AceIPpz&3!8nnO_{{RXT9tc$kT*qSB>z;E2Md(P?uny{daoF$Hl5c`l= zOv`8r+ZRar7=Z*dS4fTP5L@4dWlfoA;Af2WBRCUKc>&ClgP>JRb!9pe_6a8lNsm9^ zkiGtQMc!(fIJzN%Ar{1WC9XX{q7i=1p$fe~O6X(v zJs_%z9iz0)MM`WUR57}={SFNtU06Ux%cBJi#M(1JlGO)hiCNs@?bv*Bz?t*Z+IDPh zr5!FeBzPyQ&1M6tMTQ7!%qR2BQN@c&LWfcha1Ze!ck&fEK1T{9xXDQiX<(Qfp1CV<7GL{ zM3`gSiSaX^P!FoOzq28w%+qBzy1pxpR;)Q%iL84bhgnxZMKm}V#K z&I&Yv1ZK>dD2m%*_?v_BkQ=n9lGEdDPs^z=r%H1ns>4a%pwEl@kEyEcZZC;x@=b9h zN>$6?aKAIc91c;Jb9WFakke;GM1zQoF(foW(zu5TieDsX5b-8xvh!Ls3vK5u5<(Id zaz=zSY7lWxw;-1Gk`%2)xZd~7zGsCX_yR(3cbjBaPa0e$+1t{3@l{8l3z}*^&+9Xj1U(_6It~T9XGmV<*E*~+N~Cohx@5=_-jn4_3DJe* zJ_v!w0iNWEFXW;2oGT)^rwB*3KxJpeA7%xL+&gIsiw1f&N0Re zT%zO*A3igeDQU`Uj!4e+NesV~7AowVqr5pzmP<09fV`cqvUOuVHRy&6JCP8=GJ3P6 z0>Xjt-!nF;VpHXHyh{h%4!yi!Ql6a*<-wMU!fGZgqp8nooN6F|Oc&|%N&9r=75 zD_8}`Ga3R-!yYiGzeVUJ2~Cw~=(yHcb=N}Cr=w0?U{9Li8UNqM)H&Mm+YCdh55Icj zufh0hH2#{%uH9|dTgUyZUu4fd5eFHJBbFkbm9BsQ8mp>kKeiQn9m+9+Jz~+0*Hvs2j86v2vo#w=PA;%aBFZkLMoCHn8`;u% zkze=!@Tah~hO*ZzK(d86Bg`iW6EyInKJboNm-0hCLP)&Y#>Z@tc;f83I_q-eU9MnF z$T%KR=Gm&~b52Wy!w@a>8-ACb6=jR;?JZMmb^IUy4HL3pzTurXLp*LQj(fwsvV?tz zZ42OJ+^V1IQ^r9MtP+)9966IIevX0Q#AhZ0k;3jU{6e2wfr1DW2?~dTwF$VZz=Q*k z&2GLXF*I}N1e8NZY<2Q;{DL$JT^!#f*z8HiuQGEQWmz4d@Rs?$X!@V{4Co4S-t}GS zB+R@Li+@p^Fd7g13fCm2+VfaqkC7kzi6!t<_Rt^>W90@31!i?ay~?mD&*Y(xfAA-m zK8pQg$Q`HlFKKbW_1MOP#zsBj+>l^I=7Sql z%-A!wp&^d-C|C+GDb~t^6&w?IhN;3c$4UAEmQYrDsG=YgUKM8)43L!Gs4rA1U{D@q zPwMT&XT&-{U{T0)I$D|7pi?X1=@nj-8Jw-EZwt+lYv@p5V}COL4y{717lg@`v8|cc z>|9loK+&)mI^5SNgaJikdwe0E)D@^kBJ>nc(Q)HA7VJ??w%(O71}=8##4_!Ux-CvNmq%uMGb!Dr@xxycpRrDlS@ zJ*yau<5;NYJe3PfA}D3Hr3<>ZMklfY|EXMQWC2r`0-Xhn8nZH&chgO^O##;eg@Z;J z?|Kbm<=_dqYv>+HRdS!oRVEZ1MQ0-BI3wQe@us2P2siT`Ha8luCvNamZZUB$XUDX& z!j(JCdS4g$;ZwQA4E@fBXI7A2JEP0gMAErm84gcwFtXfe3tlpp0G_{rg4-WC3~2yw zsJx_{@;J>gK3lNz&I?9Mlnab(z%^J!l65wx!%& zV$leF;ohTV(n{axQtArC;je)Q;b@?I8SiLp)jeXSt(p$Fv%)6FP!w;hP0j)kRR#aLoTbCFEK+Ek3~;~@uiWf#^C6^;}|xdRaF8s`H9EV z)NwBgG1QFMvb&8O4 z))f>kB%YFoyz$_Ou}b%AAapRYc`$wD1&vnA5(FF7b+j-9yMOkd=OsUuC)@px#I zR=(u*@uocHbq1e~9iuCt0|X=4xm1H#qmD7Q+7?d1g3M2{I>~x3w#b6&0Ok?U%%&4Z@ zY>HN>3Mr>H9q~K%FD%j2$dbrr)4marLijnR}MFXvJ5;E;B~-<09)S7m$X=7HZ??8_|A z?Nc+=@bqE8eJq{T)h4BH;YDdJ5Ms%j*sKcWjp*+lWl*Bw*_c)0kOJ6_!PCLDmb%b%S!~n2_=LgBWnJyo2+mxNP4E4- z*h8;|Pc@=4JZ^Q)g_YGF`r@8+iYznHnLw(QMzI}dGf&I3#?uPztwZzqezR3<0^$^; zZcSU-> zj;7FREzj2nU*GPYneB5KsarfM)Cj=Apw9bNX*)EJ($^mC?5(?JpSUuIi2ZUBxO_)3 zVq&NMr{~iD6Vtg$5GOWurtST-RXTt0e)fz8!9*R?Ot^KYYzr*W&g5EbKvSoThXy6 z^~nhMqrb9mfZyuwEz$te4g7G&Xsk_z6N~=IfYZlI001)0fv$JZX*e#6ve8mH>#Xj% zLwDH5_(Yol#h@NL#2W*q&be7n9jHlDP#)P%??HVHMzw}LiYGls6MXdZMsOF1V(W?~ zG29D_%MHb2%izs@>h?daP+y#l2CWLERYtEcXdUryv5%A%p80e1dpFIk`3T!(z;3aY(3#iMT4yIQP$Dbg^8Ch zXN)eEDPZzaCap&Bmo-P3!;6{ae!zL*uUp|I^eA(1vC3kHk1kaDenMdajV$m&jEN1>H1}X-#KV@YhJK@ ziL|A3bY6hQ4QJ|xbgCWgv4_qK5Y67T`3~{tp6k=kD6r}Oj9H#9%-5>dVEE6NLUvjp zT@_S;G_7`U)Zj-+W_f1XqME&zDbb>o^7tJ|6dKRbyo^kERp6EY^A=bg`2Rq8mKLuS z$Hn@6v1v(L!_Y)JtE#dqJNkB2NO^5nHmMo9VvuEVg$YD)FO0mtnHyTNZOSLlq?n{H zre3UvLMDfOHkV@hw;nS_#x)YRA_4cP8;uiJs^c$wI(LecT70m-$6s~%=gJa5xlod4X zULPLHPs;;s{fK*R8US)yW1TU0&2`OGOC{5YBjRDjFR5h(rbp6FDDw(79Z~|dtO4bu zBJpHSE3q$B5lY}_+O1&WGB;hlTODx7sro`SWS>qpA^KKRE4?#g^+qZVFF64D=5()E z&>?p)>yD1uEwt?8j*rmvJsj5O9i6Q0i3pI*LOTVN7-EFz^gmk{4}xg4S6#m4$9HNu zFsiA6jj^WM6($L!^^4oNrH_150ppEsdr5o4{1w$%Wdvim77$k8RdCzOmX+a5qVd2A`^FYcQ8AwCv2+8Jz?6S*3F zq=)W|siMmgIBXpID_wRX=RZRrMY;vQY}UuPiQKf|?{Md6uozosI$pi1o_pbuOqvRWS*SBow zeNHp^Dv(40E^W3)iG1tYgpx^GniBOX>r4Enz^s``o&7faM%pj`Mm zzek|Qj_#>+K9T-iEA7_2DNGpc0O8%hi-B}6vAy^ao#26~VG;#)Xt@|HXsnJOyJlON zr%6DT1`w(qlCCIV%p1VBDUA)oq@F7{Qxt^LX{g99k%&YW4T~P?UO*Dho&d%*Zz2Pp z5mNyy^CVF(wP=Ka2G>10JTbkPI%9wVaDp(j5Tnp5X`u)I8Yw@Cm2~O8kPbfx&L}S& zyXa)&he}d2H7A9DNfpN&FA&!74Vq~p%5<-FLqWQ4x~q$l(%PVV)Y}+_Oo~2;V$mll zXciPT9Y(uVzSqXCpgN5e4nv1JKy!zX^*a^C@{`Gj(b&uX{*_l=$#+FV_cs!RI2>VF zWc;C=}czK34m~#rszwJ5)9WbuP5~Vk=G&!=#6BskD0Zx0s$CkvE%sdr0BMOez~o z3$93Cp&`f9^s}L!PND&6B!)mPZTm{@Xg8xeUgu@8so>U4hoGvO?O3;W->aqRbmX?T zc`eW!y2RK>;m_8~12;nk59BAL#%}w11wPfQxQ5TdGgBZ%CQ~#?ydG<+cU13DTKFcE z<$#=cvn%R~eciiRUrFC*l6q(#i2iJL@R^v(juUm@9?LHIj-Hw~bS5^mAf6!fUId32 zm}Lco5q0ru_Bp?ndE?L|fg$(VQRGi?O8wT$z~l)A8$z!puxNXQl1Gao2JeiHlBY1( z67L)k-QM(kd6lM{P~=Zw@?5*mcow|P5sf>F{lKGj+at?)eJ15~w!>4b$(DbV7KlfD z2p}0KBNrH9mXt9guS+;sp_bsb`9T=l9vh80wpX!z%`KLptap zPnfAjXQ!c(T68mQ4Y>l{^P;{hWB&*UFTSUF{2ZKE0oBt*O!)Ymea|#0O-DiXg|_Q? z69~O=ew~>ndqqv{&=|x32Mmv_Fw&pu8D$3FXy%0EJ6Pb^2%?<4ul89+BIsE+2Vj`0 zrt)KsJm2&2?B6RWs*?VNnZihfa4-%N+c#eOnZGxR;t6B0PNXZB@I+`Z5sDA@ax9%E z9$h)aGYPKE%)Y6A{|rw4%OW40G{8POp~fV=0fA!2?7@N6wdsmVXWsQFK2x^q3EwFF zJ}Ywi_uXH5mv%ds?|;x{5DkjU`UxE;*c;qa_TZ7xwKUc1ynC)(|7^M7Sv@TmD)ue~ zpci8yckrm<$G--?ptLf?7j!}!tU}e9_cYO~aU>qpr+VkRCn-=<((Qz9NjVtMqIX=O zD|RQ;!S;l4RU8Z)#eJ$3!(7E$si)md2{xoJKxYLw3Kc2t9(dLb#V_5Rum?K>t!)XC zSJ)e#&Nl==DZW?NaeVR4_oke|p61hBnu770Jbb*9qh#^Z z!L_JonvHBf5&O|}*9|7r!H&i;J1sauPs3RzyX{DO5W3={9ypoX3EXVNujYt5co<&V zi`du2af36(_Kd|x?Tyck^HI^U9V_qE$)4|M4y>gaCzF{qZ4P#j>wG~=C4*m?%rCx_ z6vLbQbO*YJu{oSl3cDjowbX&`nrC|5KG*9lzJAHnV) zoRQ)8GK37d2Lo>K3O;0y{J_z&2V?f|Y^j{67tAr42=R&NAP&#Si1jK2qki9m6sbz! zx~&9wQvu1~QrNEQv=R1bW};Stm4qZjNV_=gP9+>W|1HWxFT^_*5`#r88io8P|L~Pp z+8R&y+sabEK!d7iw!zCihv%uhkuK`|%`V^0543mMVPw8;;x5+hNkwf7^SY{6a5@I8 z&^5xC>92H_6~M;AyTy>wl9YI%r7H`3L$eejJwG6ke#pp^G}TF1pLJF30Y-V^Lj-UmH7R{9 z{KwSdSjem}huQ?R8NQC#yj@k*HyAtmtquuE;0G5aVFrd?MEITx7`{4c zhl2qEcW*DF$>$u2ozBv15HtDkbiQcf&@FTxoN0^pQ4e=#%l}3}IW<+|EW__0VjnY7oN&0d5$YuFF(g%xRg?MfZ5S4`5EG z(}(8&@^r3c1y)2oBu@Ix^pH0zTG%apX^z`)pI`g-%#tH1YTb-Enc=mV2pKbuU+OZ{ z+8Jd~yALU23KXDT%hzW_X=yZB7uLdQ!=?$&w#`G^JiTq{rY>4Kh|g4~|4Pg6qlZb) zyI!UAzcY1^FV2=7pdF!&@vFPt(UGt3XFQy45Yn!3O&j!lwE}3G)?sNq0~>gHJYQTa ze_A2bk9b!+S@`nBxwZ7&kH7MY!ZZ7%s70g?&Ff;vTPnX(9xO(RX5avRao<+B@OW$x zZTP~wR(M;a)s%Rzzsc!BPq!l!FVt5Y$dR~+?leQHZZKq?wQK8!RusV6GQ9M!Uo0l# zI=H|NS5oT5L#lxA%Nu?%MT;N_l-*_?*=`u;gRouIQa9u~Z2TagdQp8m1T~w!L)ZPG zRm+|A(A*(%yIvAILw3O2KCDYsZXZkwLubrhsxw4X?nF*9_C+;=GbMxfWe@6)Q?Zc} z>mG@HsX9i|TsMmK=00))sVXI;(B`_B831G8gZ@cyG_~-8kqGOa=cE_BE9avanmviH z&z|OSvxlVwe24o97KLx~B(wv2G6`Qw3N>adYHW6^~K6EmW#6Tn_ zp=-MniNo$OZ>^V_SV3YWpBNsM)qM_RG(~Nyi$A|An@={dKa&WA=8#18Q0gt=23$dR z@H=6z3PIBE`QXJtB}vp=Wp^j@rm8a)Xj#>OI)qlZs@l9X;FEeu);`a+d6Pln_zX=~ z<^(T^$C8B=mLna6BCat22=)Nk&M4bKOj7s|**-goyhwIv_7v`5m4z8l) zA+nPPjiO`gHIHZ@ljtGR9s6P8b?GtsUa;5A856A9Q4iUd|cL5bCbhO6Q<*w?!ph4F`hoAj%)c>LGnV$|5G0{Kt~%wGTWjp zb9kL@Qbv#5<#R+VZ!3USm++AiP|}7}M=Izw?8pd_gFh)<_u7Mc?wYse8>Zr~;h65+ zT%_~dnrASuZL(Efw1V}pt)5c}#eCIr)@{+Ql=pdq)Llt6`&mIXXD&SDr)CHx$A|Dh;HmBrx$5|iP^lS71Xzb?gau#NY+>wC@b* z1@s1W0i3ts3)de8j%x&cM@qCV^O<#)n)H$@>i==&{5L`X!61Uv?AH1K&@}9T*bePv zzG7^!W!|^0gaKTfYXWXuH0eC^3CVm4AArGSkqLjEbnBXT?5tipcskp7aE z)zVOd$)_@K-j;$sxdF?l+01cE2a`>T+5ahoeSup&H}r26EP>5Z;I^!?|fN&{A`_P9NvK@7W1}adq*>$7R4_;p`jkS zIUrY67SWcZ@*dZ8=rG%a%cJRec;I);qN?k(|V?88Tp& zZS+2a!*-=+w+pLPu8l(7W~5SiS6&g;w6u5;h6 z$edNdLuB^@h0Y^$A!GDk)yph-nRhnPu;iTMwJ!BmQP`P%>Y|`o5}7O=_0K3f6d^IV zBLa6@BP-NRjr;Ip{8rdk@2FzgHXN7?LVzv^Lp@SPnOL!QiH!>3XnxW)WMNxqv*uZ= z(4Nb6xldnuqjJ5| zVoEyE7z8L4Zbj*p%c7s%sL<~~7#{Ouekj^PZ=i|z^H}PK)01eh+$QzAXCh7In}TKv zR1&No{`TMh;kUp2|NPVc{!jnQfBg3A|HB{u!SCU>Q)5%#*}uG{v&W&PNz*So>yCt< zM1Z4*q1=rVEBeuU*4vN&=G%|I^Y$Cxd;9VC|LAZ3>f4Y1I)0$4bo1s` z1n(9Fc8jM)E4eTWy=VRL|Mu%Y{O#X*`}P0n?brXo+i(0j+VuA0-;^f)=WoCM_o*jc za(i0};>Mv?aQE0DD-AGSR@oXGj`sOe(kT4Mc?>mZ-3<* zZ@=-^-hTYI-hTYuw;%u7+mF9ZMt$QCup3?=6BHZnI#wOjW}V-QA5v86Pk;UQ-hSgR zgH8YPZ~QMm{O*6{h_GD9niWBxq`6WlFy-%lvDXk!^akx?jPO+Lttx2efS@3`T`Y2}ZB0=XI#O*P5J?h?DP%TI z?DyeaR0^8HN=ThP#ZaK#&{>^VHXT%m`Y7Lrphcxp8U$sXAyTShVf(26IDyJ0U#>EG z3ZDH=#t#MGlu3dO`(x;-mAtN<26||ap8mYpudGp=FvLrCjtQs^EgkG+43n1Ms zW(o%RhqP_b30?8a9WcrDYtOu9KS8CF*VwdRjY|w^=}IbmOp=Y0geJGLP#%9W4KTQq5T|zYb4BoxO~YukUD=HP~<%c zKRCjiZ;E5LsOaWKXmvIgwK0^YY3-NIE4w?;wX7{xBceVp7gvPw*lc)!vagq%zH77y-Sj=*au$K?rR14GwzmfN^zX>Zl@#)6PPheyVtWC`m-7i31{^? z{K8Mnb1C*UoRZf&&uCAQEFL?sh{xkgFPlA!ivf+zC8#Kk`)_&8B(Ap5_7f`(bb-{K*wG}waiga0HVE(f$3sve}bC#t|8u@`e{+!H;21`Ebh#`Kk ztC}FW#+f3Cv;{Zo5bHW5BQK#uoE@T@j1FeK>&;S3>l9r33rWyCDLu2m3{|>8FlF<( z+GNHxOtA461x+Hb8DId4tA3vg+cX8ZLK&)?su=Mg3^B5TRM#Rk^6if?`v>2=;JW97 z86UD4^P`)^Mo|D&Ak)QWrr2V&Q?)H8)<8furrIg;oR*J2*{pH$=>?xwD1%Ji(n zOj>?uoE<&iyY{-%Lkq3Yh}XoH&aXR^m4dFexwLiFDT5hPY#O>w=;>nnsVkcBS0Pus zHyC`~T7Q}Xz1+3DqQq8wV&DEh0xdR@$t0D8$lBh*jnNj3dmfpv-xfq(U)*^QRv2^G!sa$ zRB=hEzCp=!78Rx!@i%R10m)bXJD?H<*i!q^JE-UYi8sk?wd+po#X&-54em~IR4fO> zXNfg!qGdY=;Te6H(>S&szxWf=1U!9Dqum|#_>-AZBFyMni>e-x`UoqJgoii3t5(AP zJKnv@^OLPR7}nPdB+l6hNXDvE=7NwIk5(GBjPd|pQ!yH%7A zwi)kkUDQ?A$WAGZXGI0!sHhJ#kdnZr2`iIP*_;?=yiCGSdwBmxf8oW86A!{<)g-V| zk;~$frJBH`8 zfG&U{FN%1k>^;a4n#q@Gln0G7;A$#5=oN_(aE@z7@6lI-ny)WYf*=^xFPIQflv71H zWgnw~i(-j^OINOwX{#>>{@A_?9FH51X(g&AiK3P0m!!o=gGY<0K>bfMCes(SQ&~V>6GG)oh%yxbRr0%9RK$XN} zu}LzEE@gC_w4vEFd*OjA*D8U|Xo~X3O~_)xqLsu4YwY$|p0KtQ0|(_wGU|)fwPz0y zs^wVkB&v z7WUG8ZZ#D3KujhBkxkY1gS!Jgo)uGddAgOJ21pImA6@Z?wp)vljh!0#ro9)Y1Ey?w)V~Bk+nP`-q zS-C!m<2vVFs6&Tk-Hv+59VRP1QZh^8HG;JQkyqx2)2$4{xF_(}QrzemE%$^;UXKjT zi^<3!b#(fYM^NXoT7iM%4tM(wH!>YdbqF55dLP4pVUedYGGs9`NGjZJcloKNxjdbg z+rCPp5=IRsvVn#tWqgoU4^ekCw)^3NrD1C6>&>#E1#TBjx!PbZhb-_cYQht@ zA1Fv{f^aB)U{p56l;J&TAE^tufjXVcvgMjYLy{wwUb%2PgK>A#C4yz8Ac;=fPQ?oq zuOLm}aHSxHj8@clCHN!=sP6~A(NCE;*4I86A;bZ<< zZ!Dm1B{H+Rw^MDUShUagK5PD#HID%lD)zsi4_=HZi{sndzMMapp z6Rn=RBh5x3?-WR5Db##)>61j>&;~R$~?&)9$R<)|vy@&Tglvnk`eg zE|U>5{GghKgxxG*hlF87dP@-pwj^|xvt&yq3j*?KQMP-Kl(@t6Zk%v_Q8JxN#?Ukb zn|KzSpy1O|H6+wL4ONEIQdnVl>L zMv14r%N8@Hah77>guODQI26mK#sb9MK;sU)NDC zs^)czi0gqR%+x}v#D-2^FCg57U1Gmj&I!}>qV8?U#|g!Pg(=0%;T@F|=MzF)pgDBz zWm6QvWRi>N)K6O*0??a{UV8@&S16x1=%R8*yDc}U=AN;96kVd0(<1C^)BMu%smT14 zzgxfbb3ew#CS3#%b=hJO$rs!VKid0p_mofXyW(_u-!(}pH(p8jki5r$P*_)N(VKUz z+^qRx57HMCI-+4UJb2iZ(_6Y|R?0Y~(2COs_dS~ZJTdGg27ANp0E-WNd>Kkf45IYm z&>f!3de)lRZQwMm&`T54T4BStXeZ~8TB<ti5;e$Ua2+LJdiw?VAE~~n^Oj#GtE+nUE74!TD?>!7O#(#X|lu#(n zB@fxS92FwZb{AcF^F%r#UxgZ ziP@N@ZgT!sme$mqW5eb>M`ir9=d0XW(b~MpX}nDfaA&1+CVfsh3D%gQ>hLh%LD@T& zOXjw8Uhx%Nr~>C)WPD3X!Qi z#AjUj-38k-WUk7(y_GLB1qbdVUwg`*pp6rxxPGqp#NTz6Yn|QmrcCn`YVA0Gj*So2 zs`60UHEqJ`eSHMEx*J+QqLTKtkEc|i1#Q4G#{bzLi%|Jcn)ii96QNOtPX3&0Tj{#}g@D&%X&&WrxHe*VP^hB!IYgEg;nWz9Rm zmgc5C-yg;5R?$mLbNELd6;JlupqvCjDRpA*0 zwK}z}#^k?h4LL8IWs97Bxx!4_LKo~dYAfzK=W@Rw^wr^BC5HrZ^)(}MRk_$WWTC^!jnWfF%?WXRU0T+WL1C5==rl;se}DPac(65jbxPQ zyb9Llh#iBIBoVP_+ikHHx8retcup>+YCMO645iZ+K)}mmE0?>YDxLGHWq9-})_62c zqHwdu+xo=#yINeJ>pbyVK_qk3uXlKMFS!7b-za3>wa}k*SWW@kGgm(9_=IXjTja#q zpSCt|me^3zjagkus}3HG5_x+^jONKyXHN-Ub-AbS(AgFv){<}2l>2s}JM>P8lQeJ=LR&??8ce^7LDU51eKC7hh5? z_~JdrU6!LPZd+w?tER`(w&c||@1{8a5&+6x;wzNC;(%IhXa=!(^E*4;E4(Z^D8t-I z`bG2R_YW&@rCg8lsurq95F5T}@m*Qx-YG3Fce)GLOS`Ifv=uI&u%@88XJxcI$vLBq z;m6>&C)8%IYpg)$l_l?;LhIFvw+|{vg&J&Qy!1_8<*zTwns-8BPpDWS_y914S5=y zSV(;32#T>z=1a0zCkrIp8>UHY$Ai?P4XLCGBvqnI6`d4&CoBgSv>{D0Weum3rJ5&d z(xmlU>qKr4d&+oCr^-eQVQd$6MaPKFVd#cBWvF=U8Yb(sm_ul8+USlGJF$7%R4F=Q zZBjftk(b1v8jMnUqt=8pAF03?28Rs8Q7V7L8A1h^jthfCCyZ3WV3aT!dd~9=!C0lE z3O8_PSz}kt0N%X(Nl?RRlr+{!V>ReIMqnl^LNZF2 zI)}?;E?uD;pi(MbqS9rOP7#cqO;@fU51~i5+Atl``L0fvNw`>vozRqzHTX<}@-Q1E z^`wr9J>%{Ud_VJa(o`k&N6iU_=A>bkp!K7Kfleqq6D3sSCr(}T_b6RBBIr5WJZ~Y^ zE`&SsN2wys9Myq~ylkL8`GHBLhjBb=ax${RX0&BS$`1U%^_(aeWl1z)fw5LG!Wm*Q z#F&m$_!yNgBeJ@#KtDxj2W&~_jnk>-M9#Wo1adYT-4=yIy1>=xLbYu|HS0at=t6v= zNTvH%egfW^@q_QvmMa~3K{8&t{W1w={+V9DGb=A1#j0|92TfmxY>dNkh(vK^^xR

      0~eAEXZDj+mq!q(p8swg(2^l@>0brWb35Dt>(Py=G%# zdN*&rzoM}iG_Y>%a65*VJIF8rnu^9^a~Ab-+wH|Bxv1=2Eot=AKCeyEpNyk+dA`;M=!?9A?tqr($79Yo(IpSFEhr#jp)J-D zr_-Wqu_O^l{@CO{_$C@kC@#iAlL+&=;>F>q%=Z>_psppr!wQ|Zr_sUV08l`$znkx) zxzIB!C>%~(EOHgOeOGKN#kJz8#$T%_iCwweo@}Yzx@#C_68wc;zPH!iVOLa6S@RGI z`ZOw@pUM?xkjH#ivq796Eo__^Lx9oWo{X*OV_j(*^+(=zy!kH1J8x53r`VT`T&iqA zm1e_sMo8d7fD((P=xzEiyFl@d*jw1>R|uqY>PqX>Zp4@yy5)L}{cKSZWusclcJ+Wo z91X5Y-djpcWU!n5q3CvkN?2fI)i#|3q+B}1iu{6f$kM;Z?nM~!tQrXQ@@#nzP#Nvr zo9|TzJuBD8Ekii&xdN0=^&`)%o{;{j{O7*`J+4^PJVQSh) zG|0sQ{K%b__rK`WYE8Ff#i0|#HectjhmPI9`5t%4hfS5QD5-QaZ81tO3{x-h9#?s> zr}ZZ@_qT3$2o120A;tr z>?3e#_`7)X{dUI#f)6PFO$pMK^bfeGLzhC6-BE3&aT7$YffD{${_|fm)HnGvT}Uz1 z7KF$AUjX=`H|hOqaabRc9wNBBd{|Lk8})z>@A^ovJFG_nAL=UoS{gfd>Y2L!(uZj zIG*NA^}WDSXBy%h9vdC%aGC>3?v1h(jQ$6hJ#RFJ7EWI=i+l9Xe<%c_dDrc+-`KnjXd~9xZAF5#pT-ljqow%O*;Hx5Z$iuIkN& zP<~BKCz28`3Cv^B9=D>?Hgui7INw8`rmkzCHkL%a#{{R+(gdR0+j|CKD04x)3K(wr zus12ntn)y#`Nf2u(iPN*L8qoKJJT=tI1 zTXdFlsSo*9EWMpL`b5HE7GDv@48vIP+i?N@xQKnxC~&Pw5lp8G>B*nVb*XUF=LLzy zhTNTA6*JIJJ`ehLn}a>`p}9yWq}asWF38Yl$XO>e)ENq?c;YDkOhotjYw3i6c=UM@ z@39aMWBS2Qvhu;_R(Uf;4ITWU&GP}&J{kspb!5coG5wNp9`H}``b5pp;E3_KquHq= zWiccl7kemZk-DFkoUdpBU96QpPKij&P?G!8_l7&fW*oma+#%lM_Pt?6CJ3QuQycQpCfHQCked170c|S{`z%S{oh`NNM_|XQO}p zsc&oe&QEg=$$i{RV%58zzeH^6fA<}BhkL5U{>>JfWWGrj+)Ne?jQPa3@$goWOy*Td zhYG6~+5E*IoL6sx8E0I@ty@g=Us)r`8FR;e(BH*jvoca;M2IAfBLEBB^cDdsv=+ZleU--?9; z@$hD|qML8yPsKPbU8mwTDw}_K-^@ z8VJIq>6#nooVdCh0oT0oYQ~_EqP>R>CcW;EcqRzFVCX?_gy&EbUU8N0 z2jS^u!MiHRFv*CvK)v^z=|yBh)tgKIZC3bmR)nKI zZG&_e9whS_DOGJ7R@-#eSl4uqA)$xV)rSR@TY{mD-mKofX>;C8+T14y zu0%At9t+_$b4HKxoYBek$VjFmBb!xI^JY3KvUj{3*sA=rURgtZM<2D!4bAsHvH9Wc z<;a^YN1n3ivZupsJWOtIL33(fwyoGDNE-iY;=LMN{#dXCXL8JLBR8eMyDW=A)$1k4 znJq`xOSgZ;h+wt^XvQpS46}Sy_kz+_M0HR!%XT$V;`vBPrUN6L$wo3~KzfG(S1jsD zsAsFMx)PKAvo~*SKYI>tGQz((V1n6ziEgdsvk_!oX><2mY#EPS z&6t6t8BMcAdp3N$dBWNo@N zV5SpkdfjaIwnpPmd8&CaEWqQIY7$+$>}5lK2UlDQuDBFl7k~fNFo#A)+Rcl2ylmbT zfg24U7^^vU^Kw#Gjhg_5{c|4k#r(i>157KubF6O4H}t=g(E6H+EUG1J3?NMa(Z`b@86n-ChFyFMoc?9ygd%RX=TGJkuZl*mzs#-v$M)~$U!n&kcSES zzTAZK6&;NFf4}hJh4Oj0*gE2tqp*>eb$4WFu9`ubHK_NY6Y#!zZLbspv(91>t8<%Q z2nF+Hek+U03EbczlJJ!b9!i{B!T9{LK#}Hn8|u&AgKq^+=%{>EE=f*UGtT(tGLfqi zg-+n?ijqbtU*@fIexUaYp1TUKPZ0&+7*8sIq*3&GXY`u;DxcyXjF20iX+yl-sl z6#`ve(XIcmt&}Giy_Jd$W0`9^`LEgp(UFf<8ex?>)%Iilgld(C;@~ty-67=ihA7+O zuX`*{C-Dc^(ujG}5wZKtZ@2B6-#*EGHxs?G(%5+v{5x@jQ{h{jX_#Z;k3SMv{9>;N zyV?rw!M+tl4uP6ifN~7Yy`?F{J_p@IJG(GK@Bp z;D7>BMEDCIgcf#B>E#aV~#GL zG2H96qDu>g(w^7@Ee5Ks4#t$byu`5HcHph3KsuuCD=TxAmr_-1cXV`iHg#SRwnZFO zR9ERxEw)4tuoYzXW4$Yya@Y(N;y6+=J8KKx^h%>aQU|~EKs0-i-OO&zCEXja6Si6=!IKd5jm`68utqvB)n9)gHy< z6{=TD?INrnO-`?qnm$%EVVM!65p+{v?v>|~*wi=Cm{CQc$YDd<{G7vc)DeA`YK-M| zC0--ja=jaOWkS!x(mv(8U42U;Zp&ESw)sRNQe`hq_yVxEs>-{=%miNQ5lrYMb5aqM zJ7hdD0?Nz%`Eeo5%M=QS-O^3#a>cD_HyR{h2C^dhq~;OL?`7FQ^%jeAGD&GVgo2~f z(2?j)>*^w5P9|92x(7Yi!+g>}^x7rnAUeKXQ@b^cMp(+z9`qQ1yC$lh200oyr^zk4 z^*XNzqq%6rJ>ed>cVEXqdxVw5XQaD@7`3rCU#?y` z7rG?mXeAXN)^JnrA%o5$Kb{zo&&wje&mXbu9ih*ga=k7=o+Pjwu&b+jgA7_HLv3?H z2QcC(BOD5joR@`ue|hRTm>RGKHM?WZX72jxT6T_1GLNnuyb zOx!-J56!oGrdn<9YGTOtbyX$LM%knSp#=)tnt)iCWo)h&V~HJeio%gMy|@o3mzYuu zOw5cJQa#npm|3HybG~~-g)zdRKXEpzuTJne^PE~Zb*s5-&)PDGcb&G=z&nmV#2TLG?L--|Xe( zwqxKe2)XiX7BtpLL`w+@vBYXss6C{ja@=0pa#_l-ITs5-@50o?IP**Dpv7cZdz1K+ zB6&;3Yg!EwG!UFuP{Ux5PGVt3vrUe3>m$_I``XVB)xFnt1L7 zbv7@?sWs>z0pkYjL?4$(M(^m@k!-|~HQpKr0<66u*6(qcx%#Q~16%fw2UEj-O)05J zPv^wZjwHdlh8bDbIR3n`o z1+qL)iFHss!vFST7h326lR|xD4@_1}4E`Z+#&NJj6`+UrHJIi`yQYirA%D8D3Pjn= zssgK4CE~Ip!g)0e-?qjiQ1RRWyAmFD2`q=xAM;OU6|pVzApKC=?G+}uZQgyts&dV( zSdmFI8F8rRS^fP{-*@Ky0hj8!NsQDB_F;sqY3e~c==YYl2FESIQ1oIQL$_Wo%c3dY z+15|4W(>0G@HTRGT_fAshHIV?-={(lb!9oVKUEpCc@>?+qv!TgJqe6LfQ{g3d$F;Y zSG!_=)J0wCOEy(TY;P)?z#ye80JlcpggCan70+I|h7A8QI6Qw26HX^<+7?E~enM&Om%C}Z@-(vhvFzzvzQns8BPS2)F zW6ft@H~U(aqNF!3z`U%Oa<~kWGVx;t$iHZw$|W`XHU2bnB{K;JGLfi#=&y#SsP(m) zc|GlpazpppNOWqdyfq_f_f=|}jNMQ%X_!bWFWf;eR$t*_ITa}!iAG@6(lBmHhs8F60g%;!5A!XNyYRpdx_<{)n zCnB&ff#_Pu#V#k#aaAnxgTj@HeJ3UcFOPs3QjK#V&uIzDTRxFU{J_)MOwN&ur%iDv zOPjEGIX2Kw&hFA|F3%K2Ntrn(D2uU^I1RUcPnUYXsCk-q5lVsYq>;tI@{jeKZ}G_Q zM92#4N$W}yq_LBQJWj?tLaBhrsvtm0vtkL!gBLoU>ssIb(u)^r=PD@XFX<#y5X@!G zxRH#V&+>7=29>_UbBT0sIb0>k|H-@*P!)rbHkE zj2R?EeCf>@Uog2bKu%8}oy4O>EnG512%u43%={CE%n8JkptKAV1#U?G7)%M7f6R$_ z_Fx=VHe~%{l^ef8_lgJe?5OG_KbFHl_e1Q&y7lY3*~g&1l3&2jr18X6lg5{??`Dr} z9i^CAky(kO6SykpC?IG%Zm|w*%1mga5lZ?TGo<(V-G+GS8-%r^C!}lzTQ645$&uM&1)b#cE7kAZwXJ zDi!J|(G#d03FKhv4Zq_=wy`EnQKFcwfK9G=Yo%x?fc`8S=gR~IKF-XS+c|aV?x^%6 zlQnJlEinWnjYM!*T_yw+N+OZ%Okruz2Odzr(>~3id@ZNreRkhfw4)(Q=1R@8{tL9& z)2!AyWil#AwKwg*T;~!9PpwWFY<`{bLzA34ug$o70#yyUlS~zeWEPw1ncuOhDnobV zn|#{9bXsU=vVAyY^n8=Cf%YX>b|;lvU@M2*h9`+&C7ItJI-Bj;hHA3CuD)QpjtF?B zrXQ-{uTs1>CNQl)Fs*);sQjtQpPKyY$Z=BtzxWr_ZM1W4`zvQ!%NTt@GP{{wVrbR& zf(ZNO)#k{nN&I{Jt&g?KysXPX_ z=TC%++Yt?^sfjk-KG)T*K3^PtO((M*re4OIcO}L!r*Rkh4W3eryd-iM$~s8!lDp7n zo^^xVHm}uhMb601V~54eC1je3Kjeh>QWFu^grU!(NWQOr2c%Wdm1SUOWlD4 z)q^k^NMMEyqR6>)XwVKC)uuaO+5rai;s(i%Ba$n}Z}(BaD;-M_^NTMc#qzepx~9 z-SS-Es}c(OzVV3vB@Q{L zAYTwOI;NH#pV?7UFU%A*{ER#vwB*a;Vsqn8^+OCEcB9Kz{$AC4j(OeFs#Ah65n5iL z`AJ)qjEfW6TpsF9EI;I6Bd=EH@-S;_7^*>N`iHV@q|i%9HgL9Gxu|(F%>KQUa#(%t zOb4@x8COgtz9B*F0z(1a5d>8? zidFDbuGg4sZOkWZA0u(>czlm_YuY^3uwM9}Y?*=Uc`^~ZBp5mSOZDbkfA|kXChAqu zHHK?663S0Rq1D4JMCY-+>{jUj&+n_}(*!6C^pw>STk}yhw5%R;dxISxv#F~;Cj|rFHA#dh6TM4phyFKK`@=AK4#|2R+J3CiTtfqc!HY$mI zVYe5XfqYBDWlArV+=I-ijtYesq-tl~i5tCFPH z2vY@Rd(-60vap|8^@uv`39`)Vd?QuMy6X1Ow8;n_G2dc?lA<%?$#+mMu?pss4$hnX zB5wpdeTA(kuS3r{Hl^y+#Yw*ANr?Fq&#^wRhhH*=Rqv{v-Q~~Swrpy0FyBKJ83`-a z#{*`Rt~KRwdr+=;0ic_5zX&!$#VVl(MBD9(p@dmOFlu+`v_risiHeL&iyZ%4q&2iN zg^Y%uP?QQH!_>Xb%N#6Z0bPwy)e3Q6pe`yfRTcHt59coY0d$sWlth-2slaRwE=Ju^^2t`5On zBQ6rvD2qa#cwWa$Q(U?gZYuVpAcJa+>2OyJQK4K%#i||0X^O%qWpLY~SzPoXvX-T3 z%(E2womKtfix=(6X+~D5vJF&!Y_a;1FmL+Bnf9s}k2;w;ND*^neUDWj$upM8<*vjY zCXkH<&vu+N#+GH6b!^D^37Z}p3*#Xdb7h`O+s{wD%*E>K#7R2jPN<*U$i3q{UX_pJ zV#~diGkN30al+MEV%DP$5f(!;@9>_Uv8OiJF3`+T>Jd7TKwlH47Hf8nxg^X`kBFx) zAQQ%6K18cWjWeM7kUc)Yelzg?Dj735BZ&H%uZ+rJtV%PNM zn{wQ()Y5h-k(3k>IyoPiap<~VAROH4Ra7+}WiQ5q|1b;{rvx-N zNXhQevFA`bOzG{m%S&aKjkaQ)gxZupquUtRDD)!5FIFzdP|L{)=Ct24+E&X?B#l&G zd)%j@Hm)O0xzpF&ANjQV=0@;Xysu)M=qAW6z`xy7YwQ*o??ED+o^sg@1~eD18HG;1Ig~~Fyvs3ySLgf(f2jp$0#_3xcY+{v z?{wL$p#ejo($bzk=n@-u~u}q3}!0i;@ESPH2E16 zc!W!!KVlwl&Li9GLUpYu2W*zrZkIbgsw5wPKAz)(VK7By$0 zH{aYsR7ec7Cu55J)1{)!g9FXOUD=csD@y+g)v?le$jC2!pyodkCBhR0|M4m&@H= z76v~^^ii0!FS|p_bmJp8QcsKs$(mu>3!T}(V-Kj#5V?!)O%${FkcSWutm}~ndY-1m z|M+l|-i^uBk}Vxi3$b6@VHM{MCMn9Pi4o}F9{*%pm(z%@I9fi(ku$9{K^0TgqtX$0 zxIOZxOQ3~1F$z)My!md<=zDLzBOCEI-#rx1cKha=)E}M|taIPXe7M~+Rrw48OI}W& zEI)A=ZP<9K*sHGEK#}OwLdok``Eg71@(XvNds+mdir64|+LeebpsC$f+RW>IHQQmT z$ZnIuKBJUQtmI(JLTdxxS$h zho9Y>h}9Z}_64B|x?}&~oB8_9H-GS(s!mDj>N3tv@HkK*RSc9iG%JC>ThdQs4*6efW%UgS~?T*mK%ieGe zxf&_WgfC}oD@K-y<%q$Q;>Yt+_Sopj)VBhK~u=rm@n0)aa=@V zzl_N|@$gTvNYZ($P?s_9)60lKoazljG`7M>R#xpuS_eB*?D|ZYqJ2?4OZc5hWl(%o zD0Uum^s(--=vCjw{~G%ut;*9zaO7In`_8|7$MsIiBcF@Ue%Uo;o71PW&7 zRZDerA`vbne)R&H4yI1)k;1`ISigT@u)lbg5nG@$O;znLy z7VleX`~8+~Dp(^O%qutR;$;~RUot8%4PzZ!5@EJz?K?C8CRBRjaNI-9dI2_Oqa zm`)1^yQ<7jhb|OH7O*K))N2(&hc`9c?>9RdG$Z|){;jP9=7anzm(swb#|*fq;bJbN zTQMXVrIT|ci3R&fHSkQzNc{X4OqyyIlr-KnsZ`Y=mCgs@~nsl3|(77d2)`6D^N*Q?G93ph`jOEQxnKu37)~ zb~fye#gkW#*T(sV*Xo#*whbne|A}R(EJ4pUFOZIqDB-$O`1?vCzOJ2+)n)H^j_|N( zz1+WYe9+}zz0Ef!W9#k7p1nFR^&9&oNxrf?=TS_}X-SM3c+JBf@%QzD^ntpWPv74l zeDDRbF(UYK@XGQ{fGg+~nE#|ZoV+{fY+k@@e&RiZPU;5_fnXe_sY@c*_p6ijd@ph2 z+OEXjFqSgu>5HuhvL%VcG>l$B@nMj}SJ>>Y_9Y`~KhgBQ!e)e58NB+C55F&jFtEb8+;XlmXj2+V(Gk$zzatVOlPjyiJD zy9|Fjqq(NA=hZ^gk;Sq!t@9xw_(21#8R0FLKVh4xfTtPbXhjbt~@CVb1@NB?y#uoO7Q-9)C>Wr&xiha3@uffw6a!jG4E_Ge~6by zGqk2(xEjpWXY_<}gdYOh`N=hrfS$%mA#8S|@d=XnE@El!y?ki3DzvvZzKGCO*e`!TLhXS$`|C|woo-lHHbSXaezH_z<$`TU{k zv*NoGHV*VF5|f-6fv_jws(M@#5TgWaldD_2S2d6LE4h(Z+>#+SSRm$g7lt8|v{`7( zvuDmqjP=Fn{YJmJecx*VAc4>+9Lf7A*?2T}B{im>P1D0Zr>6_1|J1hLRyBhtOgtoukO-O)NugMb_+h3A!YuL~xnjUn`yPXwr-2n; zo3%uqbh4ia?u^HjNf=m(F(3&1IOgc1X&p!J?BR3f zjALa6Sa5ktA9@0~@*Z2@#=HU;Z=n6mr$wy|#u1(cEDRGjih01_do^TY7ioLo541cq zJq&o`$D0HNpaG$!wUnGlKDa0;NrI4P@c6jb5wMdGB+zsRs%Z=oQ51`Pkut#Wp=bse zPa#2cNFnmT5HB*uMLx7ipSCvWAbw6gKjj&Cdt~%yKTe~VGae1DJoa-C25G|MYy%Ae zom8xccsR&b263FkJe6J))u!zBR5>X{5m^1;vqu65ikE2%1Bw{$Nk~Hk$%h&p^7Pmo z>-eFUkcAnBE)#^V?*}{=X0+f7k5)5sAVS9muG9c+OnAx*mAGINy&#e)*Jb?clu6Lb zS;WIz?nt@~<8~*MXC?|m0o-|yR)3H~a83YM=vXC=jbdsQvD-49O_OVM>~(q8+Jmy7 zJuZbh@I}xvrg7txXQqCp36fKDy9st(dPpx@T{8Vgm0@%>#r`4bd&>|Q^`7S-$noB(Datr?BoopBhXh2OqCIPb zAbC`ETQEd2Pq%2c$>BCDMUH~c5G|f$e%WS^E$b}?zA4cQCq>FA#$*jKil(iR65prc zbi-Kd^Ma1DVl|Ao{AGIsDIn?th6mP>-ebj^6eV*l1}Y>n?u)9`5ioXtCtDCcG^!Gc z)XrTRcBibMd6rJ^%`$C9%yC1`rA{*A+;LkM3rInCXs^0Nt=5aO;sywPziD!s8hqI% zrVw<=s*@`8g?iH#B{Jn>_9PtG4WZj$H^_s&xj?I(^~ENVMMZ6X@X?7T1!#~lk8VHS zw0roFA88%2WTQ@8qUYsc+~d>N?B|>Zh4i^IzR{amuEDRIin2)oGzWjc zLLJf+blT>9z7*Is48o$l>f=>?y4d-mp(%&D%kY9RW!i_NCpzztJ2aVY3faQb+6bzi_qE9TnioBUDRdSKy@|Bj zl1GHv$OUO>d5jG`lYhnb;)j?QnU-lJrkifB9M5@oePU??{jb;|hzGF~THF{OF1+Ya zm_zlcYo{sW2Tly0Z;8d}f?#Ha95-*uqM27Df>dEX^jwSkRPL&q8q!LTWxc`m zBh&?pe#+(Xh$%qMoW!-h?s#VYq2M9a&1PF3%1JKIdMs$?g@Q^5deh|1Btd2=gXMGH z@LJqi*Y)X4SOBbv-9{L`tq(Nq&ydHrrMJA)dh@M6`j!8Y@EJ=UaNe!TBv&GwFL(f6 zAw_Yj(b`JR`E8Q$*S3+2~6HDKxLVH;jEzO*r)1_$$TJWKL$@f?zpg}updi=H* zY?Yys21INka2$rz>6YC2nP47@J)q-RJ<17o+ow}`#9o{CebVu!%dwaZS$v4dhJd1N z_uTEu`@I8kYLDH4F5Xx@tZsLq7tJYW#jo4p$3tr0w;J%{&~hW%NdHu|b{{5r;zDAl zuqkLk@)}Elg+y3=Ry+csX>)Nkcmk*G+9OD^32{H%gu!U`d@Q@821nM0hJVe9*PrZ2 z)8FGnUSMe}WX#)KhpxxjBzbJDF;|w)rLu#`pP%zN*T?Do(Bh38F&G7WZpsT6TJefN zz{YhK+_aLPfAM0&dk4{mdy{c>SR}W8`i4P%H^o8_*3=V^>06!>YCCeeBJ>8H<|YkG zqTG;s=6c*Y+X*j6v7=hm-KHYU5+ewnX|Qon$NKs=?M!)J$b))Lyr5{yU5mo|O5A`x z({eSAWloAAoCrn~X7<7qgqh3G_Cb4fSz*>-d_wa!dgbh~!V4HPWGff1kJuGA2}L|p z#8Zdb*`a(5(&E{Oee0wR`{igT^#~d-z5AbTmYvDgI#hT5uI3*$SNXCL8wJchcFd|_ zlDb!9aKAPTaKiPbJhl=B4(ofZOO_K0DLLj2Q)a{ zHaK7L?9py%GgH`5mX-Mf!Rf&-J?8}Oyqm?gCL+Xcp@*#c`GKw33l?CBAaY!I zvlMas6l)pl_=OiQO#EF!b2WO_#LRw>DZM+2@p55lr(z6hV?eHaMPBku#ePLJ<>n;t ziscGZ*OureG)-Vn@`8W_SSEC0LqM6E@9E5Wot7WNpie6n@g{tfvN&s66uZtV-i}>m zr(A>~=J*BO7*Q7qR;3`lqfvfCf1aO>3!_O@A=zRXFENeh>BaLXcA(Bfb_?ar;oqkI z`vcEc<&#?VDh243ACIm1O{h;ox7f?>s6Oc5>Vs58y;ncgYX$Z#uhma^jT-vm^_}!Z za!cZPBcD1?yy|>$^-ibBQk{@S`Pe2~+P@w8)g&1$?hQ3xQ4y~v2xe4i^sAFf1p=vn zSTcmuq&yWeO~P;M|E4XJv3jCyle(c=Ia_3=R|@}%gHWztRPi2N@IXItY-a^C_|(*o`JpAode3oB zd?5XR83KNJpf`BCE!N74WlhtLrtKw^80^a3IShQMYvi~O2{C-MV~onz9!uW;dTuYW zQqf2`O^ZJj^I0zkyB2lfQdcWSZMPj_|2}JYeRP#}S*7W@k5Yp`t`>QGA4}yu_K0yE zMFBD21jcvPA$-0^M||ULE-4)1;rD<7!o|?)&;4CtZD_^)IlZUYjpmMTXH+YFYdG*% zW0`NZ-GK)uqc`eEet4ey(W>`eXb!>k%wYYegPkCT26hhE2PvB?|aSE0j@G{O#2EVX1maa@bVoH3RI zqXRHf0s61TNg|BlV$Ycv(rGQQVQb`jL;MH9*Ggza$&(;-0Cz~@^BY@=ju^)sH-dE{ zAwua{fN3hTh%>v!hD|{Q>S5eRJM?@J>X>#h>Xv`qTncARJ}L7@vAi;|KfFM!wo_~M z#o6^Ced>(GAlN~76Ks5*%7%x;x!7LO{+fo{of9APWXQ-V!A}W&XI$hIk zy8P0AQvdqA=Tm09?sTc-?H&ehRg6+=V(hjJZLSXa|T(|7%+i*2I|M=?|$zsU2&dbx*IbDtg_;8}}(Q4VQZ52es zsn;z9Pd!%F=P3JCx6{*MFX54%AoI z+Sb)Y6u_Z&;x9$u1uyY4*Q#=LO=NF5jkoiJgiPWcplgW_6jsXv?|htQIcYA@7mzN@ zBCGrb=!o31K`GKc!-;@xL}Da}%2i<>`m3roX1Wt^}!xx>UfrxUwi zTOcbP6+=MmX~&GGwpR%O>f(@>ecg%0@huudg{ECF5TT}?We!mpntaRqw$zBxbUlTt<9;JS8TnkF;oxDo_7+&MlZ_>KeSzzj7DMS%Y0SrFJco4vhzeUTT5ehxuG+z(t@`La#((5lqyW&*vVp8?eY_E z7B5vTIVDn6G#VqOe%BRQH)z1BJ=Zlf)DAkGE!{~4hn_!TVoz$Zqt92wVL+2nV`(Y_ zcZf)Ex@1CRUDcPBM9cW}WE8lTqma7?3c5a@iiCFYFtV)rUyWrRr?n;^Pf0)%>W*hH zx}fKV!(WFhsUMZI>cDI%Mf;-kQ^4HnvV(8R zmgco*Ub8gqiJtu0#?;0pJDHq?@P0_9hQ)TN05B{$R_&8#_meBH2D)zc$rJZ}a+zo> z?y>shVfyamv|kJQ)KPdhHM@HG(MGvVP<0)u6#1Xj0_Z(MdxQI_37qo88Gfi(9KO35uJyk|a28!z3ADqukc)DRYC;S1^~urG4JW%| zd9sR}bGVr9&`WVIk%3M;dkkZV^o9x3galHy!JOH!54OaK%3d%qfy}VH7!(}MagLQ* zCq&&m(mbCKL29C~`)Y<%`iNKM4HiVCjsEi=8=CYyghlb3t3RySK{78%ko@6sn zh}9ckOI`bn5j{cX8QH*E|ycTlmsw3s$pFa1op?O6v{<&={ z4vxx6t;NO?`vYjL#QTw1V?#uEhh{FJ;CK#HBrl2V^W{3{$w9%JzDf*1G2@YjK^Icd=QRRIiDjQ_5C;$RFu4)U_<_!n)XH#E zd86;P7XmA#e$$IienBizM&az8$3k$~7u`t?TD0e?f|31pglzG#-1UNw5w{O!nGVR&^^@WoD_bzOU&+n~%{ zxi9VJ&2N{x-J9>xS&*Fg$rbn5iTld}eJF9yE(*HIhqV60n|ds0xU`}nC#U_~34Vfw zjePFA=Gh4?WyYh>V-9(%&3d@oGjEoD=$Hr0JUQ8wFF)!ES|-!hv*?}*HMM;fT98l7 z<0@{7P+{D$MJG`RmYnnZ=MS;bZ$(*lnuX_>2mAD>APBVi>yo={g>dj=Q5(#Rb`^GH zj;G-XQY8?do$yn6GKV8o**!m(as!)KJoLnj24w*P$k0lfvU+k(YY!Vg`FG)%6i=_! z#*%%~9BLa29gS_+@*j^}lUM8U(#6)N2EPE!|1qhT%JvD<2@+?PHV#rp^iWk_59UIe zVDX4ahyPrY!<&+!9XWCtl2}^*V^Tciyu7h@Jgs1e;{2c&2xaeNCeOkCsqgb+>xK&( z|3*XCFL$z}&qZP37%T<>u{wP2wQNs3!g)7uwq5fx&zvlwOmgaDWoEV=gD@I!a$j+bTCXs%{l7sQRS%>a0t3gvV-Qm@ZH=joxgy5+r zWb33~tpDs^RnSJ<7M5+>6?B=aO&|?CFzf*)Lq@ogODY8j#V8-kS_g7o3hpjpSE6xT zlf;R9v2AO0urH_+ZN*SqJGoFhwFUma%h_8rO|^NwPcz2`^f0nx^quaKqgmFO5Fn;@x9HK;tA)~A5hCL*sXq4h2lhwHd!)8+ zzEiy+)OYp%w&Bwm$Zi@ z5W=VF%RLVM(`Rx8nbYjv*msfzIZ9(_v7IHL#H$6D;qKj`C^ z>VbKWK=?+&T-9efN+=`tDT%m8LK{(F zca^zKR_^lsv6wf^!60~|dBORhprzM565{cwg$eDm5PZzrqi{!5AwuFsx9AYAV_RZJ zL~9SIgOFo7^4uM_4&jcWZ`a)^SL4FJ+2D1z$+5ebWyT0#fW1Zr07FLb!4EeyqNocTfXB@i| zq}bFm2j){ReYyR)kkUx1XWT2o{1PwshSm&8A-N!yD_&gQcK1{UUkG)Zk9D(K+ z|6pwHE$1BC-1|%ya+-D1a}1nn)ou8Sw?;fVU1?KpnsC#8q{ObUV%YCDzgH7d*`rN+ zz?&^Rgb6K!F}2iUE7PY5#PXfDXEbLfE=wt+X(eB2qRhaEv^WlVvkgUjf0Sr4ye>;= znJqxjK`Qsyt3s508fYLz>csd@As+{{sXpXO#T$I&r<7m#J+>0e1WRrb_$_hdHqNI7 zI6tNiHXjGV%rV>r^TzT$q@BMX3hYY7!t?!`?}(YAPxI(h?s%n!fdXD<8mt2ys;KDD za*(c-v==9yt0PGm5?Gi90+|#;CuDe<;*msL$7aW=z*BAW=+`or*fxO2wTT6B)qvtJA{#*5}AC9ygHTpTH+#C^fI&q ziMEJ-jT4WCu~(QE$OVbAIZ;zZ7bkOM<54f=B^Fd2vtDK<3sF)i&5XPZMX+g|v+b*> zf8YSk65|1mA~v~HSQIfm;%z7Lh~EpkI80JTeCXHZz+_qR6ux9^1C>Gfi_lm*2_p!D z$uYF%ns?YWrMfv7wUCg0?TPQQKsSd$=As}Gqul`_qOYCyzr(IOZ`eo5sl+8}Pm)oD zMys63BeB+3MTNh)UE~{rmx1At@&*ZLfJo^Ya)$SK5qi3B124@Kz|V4woN=?CDkVr5 z%W2{hjbO+%$ltVGLrDPvZ)nRq@7b&|*-Ec`>j__Y{4 z+?I&PiNr(6#lKC=IWmG@K(gXMj5HpI&=O0Clzc52de^tu5qn~WQ9xqmeF!jYJd1{L zV2^Hdt{(zsM z41hgWREc||xIlC=CQ1TQizQJ+x4~jbo0v&5a0)5ihcuI9GT`zPeaFQvGL*KfNE1ZV z3Yj$G;))l_8k9$?&9Sbl-oS_H>3T+wAP5>0r*x3yX_aZQq=TF#sjeeE$}mJ~Irq}6 z3>*pm=ft6E3x`8S=V(=OyJc6kx;-J+U!+VuIwDcd>CB8RKVv5iG(A})Luv^OmiZ6` z;(6pVTDyda8!=oY7F3Z&>KPMgpZ>%&1*y-v!Njs+Z+k9FW&lLj`gguyq9V&NtM~>e zkg5jTq)G+5vX*&?rht8ndk?aI-& ze-BgXzQ|j;LO4fklrR)7yyvb@3ffEkc+b8NbCh;P(1uoum)Kn`oAM|p)Ldo2dY8`L zVZe~5gd9%ZBQd8cHqMgL%yX1_y@qD3fPRY(+6&fkd&BBsHo+tWI%(+A1K-VJx>yDe zLG~VBlMI7>w1h9>PE-1od)$3q8G}{~87R$igp~=cgt2oxHwvJ!h7o4cKNGF9z@e%2 z7qe3!@pPbJDEvNOwT}}eea#p(E9b@oY${KkHlY)PLdsbq$NO}^UP-`VjAsyyqmVHZ zgV@XH&iN1~BcdME4EvP7wu{%rUN}9@A4&ei6Nd{bSkPr2vS^fFIYMDewcIHKxikGs zXj*q5DEF9Htcl53^XPXLBoDFTme7)b2gDwsqkZ#KD1wUgqO2-TL>GZijZ?9;a~X;! z0+DQ7qo&@Li&8_rO&B$*OsXhhv5yp`j8T*x+;BuGUog_cR-Mh|v?peiveSi=4eFfv ziR?8Xk|8@jj)tZPvUGb=XkHcP97>9xiqs{<>4Vh8!Kg45I!p_1(@IqIQH3!RfkHrV zLCSv^GrG8uHC0>bMgh57)_W6CP8F|M?*|EIu^?pJkDwnsl3Ph9!?2x-`)u=N^h8NY z8%ZKbVg|%wJ#NRyWR*8lhgBzR5R(BVD};$@M@0Y4pI6Y_z2{!Z@O~wyx4h&b{K zR&Tz~6NgpZtoxRLuWU)>j6TkAjZJ|JZ~2r@yk0kWuG-DUQQwB7Ro-r}+|Am8*J#Ue z?db1)dRpGnTg23gtV6A~j{eXmtcvpZTn-7V;*klDj{YFAy~T&aWS~o__T{ZEnBvz& zt-1)7kKB}D#_EpPHedQILxjJ1{qY6$UoOW%0Q+3n;vBSN@BTF^RPLFsB23W0m_u=< z%79gUM*6U1H)GxHQw({!Mm8QptEo(*)d#2l)F-ansx~04_)T-#J%7}_EPSBAKbn1A zXftBNpXF);{v0=sGA{nGw{cz(Fr*u^^;kb+Jv8pgcybDC_#O3HAhOPkyV@tGi)1ke z2tA@n)$Z6h>a*Q+&zHkcMq96;r!Tr{!=PQz4AxGyXxEOsA5vj{Ic*4BWVnNgg52SS zqW;t;K6ThE=uSE{RG{{2M_w}EZ!vD+Qz@`)27?xlywy58>iwM|q9RhLp`mNDIiFCQ z*Z)6vZxbuamYoURDwo~roPZcG0u-&#bKNUmWySx`6B39S>Jdl`8SIRV%#4$f5&7ch zG^VLp(uZ!hr8vdq-qM zo;>HCS1y5tUGJWAGWTBlfA6*SUhDe~c6%-_6*)C^hCUiP5PzZrPsEKo5=1 zQZy86m>%E*=q=p=h^}Uj-&o>OzP@zMpZ@b>ym-g`V4bh}&ekE0;*0(*z0>Q@HPWfE zR~Ku>?O6v>mPinl4so_b&b`pPKIBS6w5CpMH>LiHZ_5nfhiW#!l=FQZ2D6h0*GiKw z%o}dsZ5i}RVv~mW=}!swr-{m2iS)y)6k*6=7KDMJOD4hLKDOHGx&gy0fWBFf$cC>_ z%1Hvt7(Bl}L$we%mnUi;eigYp`u35k72CA|+42Sh!t!t|K-jevMq3*;MwYG&k zRz546cHIkQ5A~+c1efdfgSFl(Lb22}J*65f`!3trvuY00`;Z;_rlVuf3p)CPQaLT4 zjZjN@?ifYWKU~35^=qsCCbp*PL+j7I-k7Fed%lH@jU9;vUe|jrzEXUltRo3+U_U-D zJoswDrw8&Kj^nv(Lz=RY=PQZQd|G&HWc%^3YhV`K*9~J9i*eCqA|Uo z!?nU3Vax8Y&ns(BPs{xLZ0m#g`Q6hu8#9Abb^99}DZF;AkIxHEpP&B0ux`UgTYlRg z4svYF#2Y1y>7VXWS34=WY2?l}%OO&Z!$xSKQK~T+B*Sy{O^516-Y{4M?h%j8tBP)l zyFv?mwr7K}s-C@J2;#T&&DCzP=H^9gEZN#$QrFq68$8L#QZRO{#-%2k;zZyOnk$_; zS1e3fmr4e+O<-5kYL>qA2&H(;)eC@mE_y#Fcx>9*Ol*zG+kJIK!YAZZ-t$q3-!uH@p%Y zKR<&9K2VnoBJ-YU_{i9NXrqju-6+TP9ADP+u5rVG<2J z-V{2tQ_dnf0;|>eB2Z2pVr@NtzI(Ch@^r3RX{huqWbkci(%}ZcfRe9wp<}g0J&m}_ zF=ycQQNukWfM>~x`|?bWPdquzrcT^!dfK$AD2LvBYP8cdxZalx1I)!UcbsTApJAVA z^vtIhZJH)85Gge+>n^vt{?no@rFhFW4F7WVOOVWL4-g)S@895Th(s`Xj@5KdJOCE zWGC{k<1QU@KzkOI;$n93pZlCyOAM4otK zi<7|C7~w_E_ixj+e5&rmZ{G_>;okGYz0?Tz$Nu;V!u{LAU58?XoI(Gpdw@k^gL__h zy!e-YMbrOUud}?#p;(>YVEZo*mb}VZeT$q0UH`{m8OV@0rYW}&Mn-!;E!a-$b?9_E z9j=p|p;X!LKY#z-FMs#_55D|u>&xHz@^`=d&in5YSfl8%G7kB!x$DUe(+$PsYmK+{ zI*PR%;{!qd3qGq`SeelF-v7~G{NDQ?SP=e$_y73)_fW)lEcxtvU;fUQ-?7zdrCMuW zC?Z#o*6~pZAxcPwnrciR!YS2g<@-N;|K0bW|Ln6bzw@)ttoJ|s^4B5ubNfzh6xj?b zwYwpX%&pS!EsD-}_Rl_l|A$}xHi45{2288{?m#xs&EuR2a$*O0BUpfI2ILUGBBw_Q zYVx!1u-|_B{dfQ3_pJASAC>tnHWiEGt{}z+{$*t#F3&Z-*6SELhUxzrX91-Vz;9i& z7>ggEO`lunF$~JJkZHXHRO@vNZR-u+%NP-WbIV#ceYF?Xx~7#u(A8nx{tyGfO5&3r zzW*LS`7VC>!+-W`zsK5R@81!rW4o(Y>Q-qkN(89X@qQBy7#v@q5dHT zjWdm_-3;1+uF2?uvN%$qdn6L8Dv?#ig#ZPa-VRoK6dx5#+`n(S_Gh1?n*YW7KStmF z_6Ju47FQyRORb<^lWXd1%LXKql@0$c`_fkJ7HT>Bdv|Mma5lb9WMv_RTzq5a+3v{Q z14*CDuz$`4^`|mXKew?&4paO&L z8t~IIUjoTECCJEvI?VexI{DQtwBSylr-?=EFZSZ6CmZLQetQN#me{C-1hlqAqsnz{ zdxF#)i6l&l4Gy})anCBb0*_2tnxd1~ea!`!b)brA)x9vHkDvc{UwidRur6F%ZMWjm zXlcEXekwHI@N=Oy8GhDB8ebZl!BzxcAmE@{)AL&cS_ur6zbH<6&i z!xkg_78ddE<;~3^Bsk5{hXy?%P{z1intw}k|t`PGw8Zx2|!6_#gMmme_#aZwmcMv zm0F#0{gmCZDF($~oSCK9^0!B5Ao86vW_1?--Z!3e*VeJaHYr~$>|Xg({@aEOFAg91 z&x&_%YzDfm%Qg9Hv`b|exS>bi)Qgy85K}8n!`+Zz`Qp3lyQbX-Xkrc3_yIRBaH23? z_@h^JI7qtT;w?NagrSw`FikLu&FHI>LvG{+sY{pt!KK?91h4wdMwPYr#E8$Yj74H* z`r``vsS{5e%H4DjL{rIJB?;9~QHu|;;COht!NhytseH3R#zA1{25vlYHus{bKr)3` zcX=m1%%Nr)&{L`1aY+wCLf4PQi*4|^9tX0_@3jlb3a3Fe`h~|bw}ZzG^h3`N#mUx) zN^kcR>LXMEp)AgTNF%#ZNGy206F+tL$yS9LA43-0jp~G+lg2aWb>mtOQHKKBE(3Rt zyFywfj0E&l)w1O4T3nE=RedV$h*rbQtKE3rL)c#6O2zk+=xq5$x+>8Q;PLIs1q4y1 zYwzey9zSX(L94p4+a1|%u0}6Ft^Aq$yCJ~5)kar4zo$=hSL&z9%qRY`rf*Krla7?& z1a+QhWD>>6;$MLEzN@i+h~xYCn?|s-6%qI3oAEdEjrJAKF!$E7H!X(iP1>wjg|A)5 zdn1#FkR!GmFI{0R@nKz*c|{<$0@lzy$!Zg_E+7wIa9e#xxY*{o5J8B&3GIN?O1U8L zkzWHJM&yw}5qmmZRa!IKLrN^X12b8hqI)1VGfZ?0!0R-5V;qey5@BT1>_hGD`bytP zNZsOqJ9Y*ii2#c65=ebV$NKh?My5itH9R4BNXysu_654iGJ2gXe~JXmGm1G-R-el^eU&H_|i+wmrx%VcD%}K z3B%6ccD$vQw7mMgq(2qMV4ep#hOCkv5$ADH2lf?aO=~04egd_i4R;j>dvmz1Af8=v!O=T zcdMEfiQPfDgI--hMWX&@?Xj|cl=I z?IH|R^aX|s|9q;xnI9}IR6A^5g!T>cv)r=?TGwiY{3ZHnu@~Pm+x%#YhUpu%K|k`h zyP~N#-C`>qiH$ULB{h&PRMmrmHD9Wo6oWL|re80}(PzLySE}rZ`N_U`P`i9BKUrxa z0qE)yuM?KGYD{JLp*{IkW()gH%A_T=A`ms%MC6GZBfKc_vy~s!P?JwFqX>LeSh_UbFPLGl z!!axOJ@$M(wG}ZaF^^l0sSGZmK9~bziV7d*!!3*LITRtRB|3{DbwgLdUZTduib2 z)5U|HS>}gYVJL@DLkrQ8PYe9i1Qe*?_!Eo!;qKB)kUZlSs)R4e?(w9vu&PL+uva}>Pf^Xm|RatoKbtVU+4q>Qn;)}m`*z> z5$cHS_Z8;^4X8z%AF7}Hy4gDgNgf|itU7RGlsaOcSYY)YZ22cY-|J#aF=o|j&AGYA zh$Bv;&_0sb_QDHfsIzcp=fZFWy@hY?P0f!`2pT^Ye{UM$LQ_Bp9h}EHQDf9%Ezq~4Si`20%bBd>okW@Bm8N2r zu)`r~>}pURm^_DEK!tTxO|aw8pukRjJ0~8z=ozHWEvkGa!Jbz%KoGrPj58Vq8_GJK z*#a_zk-L@X#jLWp5f+LG(Rz)DQRew|GPy5S>zXo2A?V>;TCc5r)8}-LopyrsZQfMY z(8L8}uwBTmI)TS+uZ2ss|@sONW)1se}~4F(W_Sg zhc-?AX`ffw**feV1aMqONQt(F^_UeUKP#~NG)L=XV9Kq7_1fBW)*H>4VsEm{DymJr zIC)X5whV+@`aIo=R={iwAjpNz2?m8v7B>4^_L{jRqooce=YhdJn!Mpr)+Ba3A+DQd zr4xqaJQXE2O~#Vm%oz*r`6Xu@(5!I0WjtZMy_u81=d+yAib^*$ar6@VZ>x^Tcwb=d z5xAGtOs}#ex`qBS#3r#OkI?Pr`SW~9xW2bvE`s zk`7hm&TF7B3S4@=mIxo5pu>d`Y>cvix=lL?2BWm>2m`AvF!eAjyl~C5M?oW=6GqH5 zrS*FK#){*m_mRbSW2?fdsms=S-Mq0pZ<%~FEre0m4WB`R?h9+*ISfAQ`p^HhD@vNAX*uJ?ukngWbx$3e@Iw>Sf zmcd6RYT6?G6d@W>Lf|f=SqYd&*l(K4vd8|E$ES>{=OnQEjU8k1P z`id(At9B~d4{UjECi&g-GRI`YbVC2g*~l|O%FvT(-aURa%tg7n!;-(dn!1r^ecO6G zAdhnCv6o>Hw>6yIjER8xmqxnVt{kr>CZjr^>8(oqm}NwanaAHT0H5@j{`5OO{ky3bipL0H6&`=bOBj9^ zYO3-gCtp`tiwc*K6C{K2D%L)H%+=A6>0YTaiYUBmDCbs?Tq5VM5= zgIW`{UV^NPHY<))$8D&rA6q9~Yl|4<6-f`sT*Nn8zI}D2>~buUVZYs}7V^FJoAbg+ z)k=iE2?WL`rU5kCj=5+nTRMZ+Cn5gqbEzvs_ctY@PN55vZ&sI! zI#cInxHvU`{E0mwgFQk|=m)t2W&>bM9%038%YqMgB}QcO<$+o+he@ZBHa*oIKeSa< z)n_3vT%GCaz=732EMCDB4fbnj%QyvLNO7>39{*BdBF)Z+s@{EFyDrK7dCUFdaMUKD zj*Qk9?ez7mgl63;`G_qpOnuYlhNoQUrm*#pM2@H$!fu`N8J(AP3dVJ9?bS&g`bHTV zUM~)<*XbL(;7$%*#1yC>G>H))|7ZK=7YgulIecic6iX*JAQ<4Y&E5+a)=43lv^)DQT?=)SDPxO@Ag4 z>%0MX=lcAT`a8rPlgB}kx+~T><{6enfdL=Z>-!UH?+q#{7vbu++Pu)TP*;TyRZ|e;;B7W}a&+B7B zrYgQ5@l$^)Zt}sS?1BEA6`TAi^}77M=nqF^t1=$aQScFZ4FARWFEandlb`YMJr(?8 z3p;$7I{4e2{ehcLL#ip{;WrB~B zk8ETO`CY<)@O{Le@(KPI>t7e*K-A*9IFLl1N$g81{=yG@^J%~=1{SZiX%0v!@^4_$ zn7_u)7J1K|*n0N||LoVk&x@07k@Iv$CDGz^YzP07a>jOsmo}o*9J`=kfS}@uZk}lb ze~pHp(_a_WQL#nQ(B$~47vzt?{K2NxCONC{ku77S2WtH1@|j7nSeK3M;8@q6e8kr! z^N)M^>0Z+Rmw)5cD>_qXZwpZ>^(K6|MQHW!O}-MkEB%*nV$mzWY|z%l55xFqEGD>V z11^|-vV>bTPOaB<_XdSBka(-1wXD~k^JYNSvG7%q)7EzJA$evkZ0E<_*?Jwm5l?Cq zqTMzGfC$!+OP6GESMe_;htQ+yyei&`|AIWK^F5G-ch;Tof%5_DsviDTk&o&S+^&Ng zMUHX!2`+VrFRlwx3n8=O8|RHK@cmm|;NJKUM-D#7=+{}+3L6Pg;T1NvFd96H!b=?z zc{9Jm^2*N~1-{)U&h1g)lQ3^3HOV=O_a~jjQ}kBT13wJKpTj4h`ct-%X}}C09)@9-vQV!Xjb0 zXsRo|BL3971ls=;PY^?`8IXgUz0Bg~z3fhljBmHlivv%4smxqbMlUB8Dr>+A9xO!69H!c1Z4SDa4DgX0PjOyKqubLtxGofZ$;;}tR1C>r)9d@>9D8^cgNeNMr!c#j^l8?bQm_ zXq8*^tAvF}o0p(>#IT%!e@84byNMm%063lg2o zza-tjKVKa`a`Dl2_SQNoSB@TDm1d6S|9LD(oZ z^m)^7irPM&6@6Wfti82mh{ds?5mwl+HcK(VbbWb~17{}I_a672_qa*7N^&vfq@?J& zq)}m{$4Z_P0uY<3bfEjFxNtU_@vZLDp4k7#H(tGxH^*XAm^+RQF+0gLz_^{)E%FNN zZ9ZO)$jlt(*`gBw(52(sWuK|mI`Rx7!0kg(+UcA-BjK&v9oKwEyi#WwMRr~?OpW^x z^4;6&As;+^+>uQMr+#s$ONDH5w;DtwC}Bk7;oR*;kT-W$noAdEx(hBk0(ARJ-joTG zgLTO8G2N}koc_fNFQrP;bsBySdF6sSif!%ppvptvDaN1f`;#gpPa{C>Lo6^lmauQgLm*p%u5PF$2t^F9FLCgma(fmU zo<7;~K?DSDSLknE)o!0{#M83mnjYF#&YINU+^Gs*P41AM9CTt=dP~gCU0zh;Ont16 z^=U*Nb7yUbWz_6(wlbr>zsHF4wRJ;oMjdz6Ksl>*AYsv{VUByrRL)R%Ak_}X*DrZH z8e#3krK5c!tGqlwvpCmiY|Ck0sWvNk6FDxd=*d>g+XRkhbyv`*(1IaQpL4q^w&ZS} zWyD-(Ts8JAUH9jr%vm|H~dgsBRV*$VtvYtA(O;BSA@Rkt{SZM zLtBErs3Y0N6Nu47;xvMcRj$gbY$mp!J}aXDs*VmOzv@xEVn~gg_PS0B-l^7DP$bNt z57f#C{lSYug7*<9qCamkZAma4{*FjqRZ7vc<5yp z)KnOX#1i@enSR(fwwbG3>r4#0fh}%C2I*X6Kqy8WuKT>?;VnLPoO}c?EKr{#VHq&F za7=nytXfH9pd%=hy=IJ?IIWlhQg2>B1Tn;8W_VMseWWYQAzc)oN-0J1%5FW&8`~Y! z^tB;9fl?t8UNS1u!1Ie6UEnQahYr(Y7r;h8YZ!vOxmSEnLmCZb$4_;lbkey;J|7A2 z>?{*q^yirf%!M;^C(ZlVYWo4QR%)4R%QUX_?iXh&GJP${{$ys`aHp!|9<>`Pk$PljCKkW23Q=*T5r1D?+1 zeL~(4&r49laFQ#svwqcTnsn$vMYpfD*Ni+uu{6wLKTVy;C*kKN+Nd-e9&c_5%jwYF~kqgpqH8d@>_vjDk^12iKPe@7;h9Rjb zruqCyzCg#yk-RQH!7%W3MZHg;DEctm$oMkN8%*-*SjnBkVqwXxeEs{@<9bu_sXeg2|bWFZj=My^u zzZPA~O0u!3bSQJt;UaLRxe}_Gd%_~FTLc`fre~h0cApuVI=*TkYoi@R6^p0toR%IB6LYT^1jWO04P@V zUJr%LPi*Uf7c#3q&FYR>_1e4YR!>TGc?rM@OIFWh^~S7`DV3Zfy0)nq#=r|A&*bw> zzF=&qFuBY+HZ%j`2O(KCBwt|ig=4;8GS|jA8aME6&X&CwYwUmKOCIIZ?PJ)K zlDpwyenWfqgOmdiOf#mlF~p{e{Zr|2NQPPC(HlhqJBMt(E5Qksu%<|XZO#qD9ak?m zT*o1!Q>63#=$D^44IV!+X@n{pCk~DqS+>43O0PY3MI0wYh>@3eot&|W_eE);$HqN{ zHhg}W$_zELC3<$q6ihS8`?Sq_V$7*f&ne&cu?y%tkBfxoHl|@q#4Khs~JB9rMI;;H()^Ap^vtH=zY42hEtl z8#BmF=T!%=W=_bJA(;}BiJCy4!?rgApB(eu+>SD6)$A?1M- zPxFLV#RU5KU<)0H(VgQ76L7&xR^KsM&EcZiyhyLuw8KQ;V!-K_>QijYVU86~N6yPL zMSds?eUTiPHJk9>MCWr&zT{F8eTB}vu9tFTR2}lfq|@~2^!PfW?;$?X)e77w^-OYa zVJt#h1Mjr;TYUog!(xcWG7`sR@=Ydpl1a}4Jx4n|L{uP>l>3O}3QR6$J;rI@#-ljG3XNg;ug#LAmAoips^cvY|s8LGs(& zI^XAfgJOm@S5{Wriycvj2nVcsh$P%xmGfd44MfxK&@5@no_@imS&OVWw|vdXtFp!+ zn7_pr^I!b;pc8MeqCT8j;-OdF(c8^#oAI8C|L z%nt`;V~8JM0e8D$lp7M!W~K)&iFvG7Theo?szcM(eN`l2e1a5ZbTr%gsT*~zYwoBq#I@c z;lv(PgI^Uxyw=DFdpAEa9s|9tjJw@lox7Y}nzxJpNkaxoR5{&12il~3O;<{}-xWXgb*w6 z&7waZTUE{q#2ypte>{g=PyW)2!Ua~`dX_38Iv@Y>5;5|YFoYJD1iVt-(t}H`69_>Y z5Idg?WhtN9mN=&_ToE(LDZOTrIDuqOl6nrogd`lO-ILQo)Ai(?t$_y5_zCuA=_LdF~FVtZF?w=fK zJLLG3#1FY#i3YRn#p6D zlmKO7#oDn+ir#tkH(tGJcr{csSzmPawyUk-LQq~%w_QK~;5xze_r^bS;o2Qeik9aK zG=06BhN)(uCq(FWYX^yS=owaw$rfp-((Bw?^O$~8yiY6bNp@=|V6Ya{BSDY2>s4hH z51;l017nS+hDFM*2U`Ffs=8s2rX|S6q^Zf9u{>&y45dy`}}Z3@02LkVk9lWqXz`ueSU6vnA9t7*+QA95wkK4<5gLQnugQr z%;>B`&9I`eD1W?Hw$oHMC}ZGJb=}2YY%#8YH^dKUZo;P+Dy=Iz8{85%mGw+#PlOWt z3mZED#q6nci?I^e_`7;6hZh}(96N2czpgh7uVdY`*q(WVmLXqLV@_L8sgy*A-Ig*H zA?V)(snDG&cYRP!vVD!+f4ePIRv&7{EwN%yOL!*bqKa58pNQ6?mygAS3?{42a!De9 zy3b7u51;LddS929KAyLIE)Hw6;+co6lNo?x?;aU>2E#mVJ9%py=dIyX+3}3r+GFqD z9#V#*@G+o9t+>#HyH*S;Q{x+raO0uly}&99m~12?8o$0NTJAe8!jZexB5PBs6^05mUjU4+XpbscI$3 zP%Z3$Tj;h`aoycl!iE!BcHr=anib+?@_ zCxkO@w`nxa+sBjoQro9Gc>OD{Ufskwm_Bk=yHcNT1}nh&HeXk1Xir}^-M}}2fkf+F z_eb)=n^1Yuppm&=5v`;XXR#A1nv2x|mA~%_m^Ll>%Bozhem*_i?aDV08W3Is=gEd% zDZ<^%do%`uJteT@eQ7;C|E<@sOEXFfvGNp2=IAZC$vYTN_hS|Ddy#kgwQ}NhI{*|O z>NcxSRz{`nH8!V)0%^diVvF_KJzTeSpxGwK;YkR@Va(MhsMzwC_4=fn7~6tx%V9c*SS=ll5F$j}4Z4Ste;V6fSl3m*{9w~9zDIfJ}rb>xq z-js@F;fty}L{_SDm6Nt|oHm*`?$e%jAWy7yf!|wueFsxQJhfV@*jTT1I!f|&JUCV+ zooXJ9%ZOPwuy*q%N27A}Te=y%-tP2}z)E4%_aTGq{8FQN9}akdty(cc8naPTg3CLf z^}13ISvbAg z$JG`R8-P%!w5T6T!V*Ls30cX%VehoIl*x@6lMqS?A#ow?kawovQjI`zgz?-7sKI=u z4G5m4&`fbj*?Yl^VKAT>;h~u@CDH2R&bqH}4M4tT^@w#>$X2ITtGa7tG&kj0%3He7d>ok zq~hfcXKhu>Ex>o)$fc?0ErKU=YyV?%rIcNf5sYU|)DYv%E!q7=G|$f4FI)UW$t`{n zHYuC#s2XC_UnKL~CF7R)Y#Bcia47Z{gbPL&Xb}NU_@^46BNkjYvdw8Q*57xB{0uL6 zGQSg;{3og<^}GuMe~=L^P|#DIn3_&BO`A1?KH^$LydcZVR79rkc_YQ%kQX4=3npSG zO>qVp$-=$r&bHU#x*R+csW6i=uT1#Hyca`I`c!)oJu)FR_Kc1m*8}V7R}}B6S64j| zSW_J>F|7lml)q&O1Sj8B7#$=x^OSMbt1!=qAt7HU;mzJ)WSM@da28(pPb8mHnx zz(VF7;SMs~g?BZ*v$8lI_3MG|&fC>sIE+j_ib$?oanBHoJ%@xzlH23TxFIdVTliN~ zyy~}Gst!Z2hxhc%@b%lwProsBdcS&f{i=@d-@Xw9=*G5j+R-n_j2MdLnTW?)PrhXx zej>VOWu9I1?;qp5rOx)+zZr`WJHD?6BqYSa;6*bAfS7_}ca+Upu*RXa7YFp=Q{t@F zyIcUj`pUR!M~<87UJ8jaVBBVgSi+N)u-rJFx8abTc-M-fpMG@ol_LkYxS&7r)y=Zy z-PP4$SDs@J9xbiP8l`gXxYvj_i@A%G2C8|l+&EQ7oH6M~az zTcVo-858R@(#84q;8@ZMq$J&KS!68!FYefq`bvXDq@`{th3Z^84C`m>)6!Pk#+R|LBV!+r*P2{XvlU?z1wWvmfiOhKw)% z_=_L?^w&|7AOG|>zWDJ>ikrZgdQQq#-K}dFH1-!iL?!+nME&@SAD}YdA4Pa!oIERn z*q%T6yLI!Ezsm-(8<_v6{{gD=YxsBGtk{2E*nxU?C9V3W(ywS6`gYzbFN&Y<-zxv} z-|t|8BIl2O`a9^AKl$R%E>%c_=QG#$1U4J`MHh~deyW394?Em*0wD(?Guz}8aX{)o}VSh;=Urt4l@4<%Kfu1{^Y0M`Qk?~V@gzMZ+&8! z1aC%(zVFAj{u+v2Ltvl|Yocfmi?%3N>d$}Q#$@{w3=UVp?_8P@MDep#!CX~M@#nuU z)BZP1H~bnZ^gCB`#EZh`CH*H~e+Dwpys!>1Y5F3M_Sm`*V4B6mOeZx4?}l5Ayg7j^ zORpfkF6lHj8lxErSq<%s&$zt07H~9=FlCbxJX<`xk+RKah;9XWKDJs0;Clf;QZ~6ZiZ8?NApJ5e98i3@=kMnCOCo z)XpK$(%>3w?~+o(t)-AQuwz=MMgTemZOuUqrp1I9tZsKE8S?P5H5MeuE_1B4Sz29G zMD##&|6P~s!vHH7Fj93|6oY)5106&5*WiKC6>{X5PUA*8M01m|$;!H4Yt+b;SZ@E} z-+c87mN$%smVl%JJ1;SQXRane=d(+?V5}Ey<|ZlTK|&Zo(%w{+f+EhVHQ_(ut=+oD z+Eg%AD%**PO%rHvyOdVfw@I6z|Aer$6DDy;cO+QkB@fPQmt$y!V8r6Z&xWA=622&b z29AK*7=elHco%`GBLbm?hjGZ-?Rs8rVzDu_sS=bk$?nEFy|5H~n}|yKPn|u8V?V<7 zHVM37umme)uX5FIu)u96CGt(8tKsWEhjs-bCk@gx3?1LzD*}AeBZpXELV=-M*uGp` zPMjU(QX$fVJ?VwU!2+w4Z>PpPX9oiy}GJgg3^ zo%m^FU!k>W;>56bal~!&Lc9Sp>sPG zcdBkKS%8krzRAj=|jbMFKvF>GPlUVOg~`R+|C2fbU&5_%c=GHz$~GlpLQV#>UjQhOCu0tluVbtG*LzXY%|(o?yFu z>oVJ%z!%RwbL%hL{J7K7dQq3JugBqbwIa`RV{}+~fRR&M@^VfpErA~2PNltUAMvT} zX3e_5>Gf9bXs$#IJsdw?5EW;f6UTI>#@^WF!uo>mtNfmnYMd>yB3jsXn2QWLHB!vt zNc7^+m2;d+=Ldl+cKTKwYI(1gE2a+Ticno27<}|?z6^Il#&^tCf;Z3ihU|?eZeGlFeD5#(7m`Sd$N4jYJCy%f{jHcOX!G!NV*-X zRVRX|7o0Vd>O8enP0M(|2Qe0h`n2bY;^U^pY1(LE=Tw;D2Vmr=D(F6&5NtYNHo2@G6!mcX&ct=iojQL)`nBt0h-&7&dBO#Y0FPY0p z5YS7Fu047hPGlJ=&+c>o_t$fzJCBb@fg zEER{3WDUek;nH&`$C+|1Nz^}CGOwtc0$+o`OaxuCQR!}qrUY7KM-F+F8NQKM5<{Jp zK9V)^aB0RZQd*7tSKbm!RS2dYad1VC1bs`OaFzH{Ycfd#NUG^1WtcVcWwxt1!3#V1 z#I<$AYh@|LmzABunk^OaG!5?zm5Oj{_O zYp1HZuoSjA=M(Reb4REO`Y&Db(FX%Y#Z^_KPn?O2m(_IAG;dm64A6F8?+Ph8X9mz6l_S!~YjffR^qp$ocW?`-M2{K32)I%ri?JLrd8D=*1AN$!2(Ttrs@VRb^ZU6sCEh2kXz*jBpWj(*^GFl8Z{bsO9{--bE0AAId+SFU} zINZH4A#d2^vEFtJaJ62y$2W!?R>MLux+*86^y|a+%@C>8mG3@-;e!v4%^MS$Ca=?r zm7+t)>y>(A*iFShsu~K^T&x3UOMUkTwRlL@Q^^{xbA$ea{R*A)(kH%sueeOcI=dz@If8pk zs#a-1nk9JBAM7M&BvFQraD=h=i6x^<)(I~COXKC_D z&KGB4D`#lWCMO&`FKLSo=PkJ?s;;PN9iTv9=+H3$%Y4gm7)uAmk^f;t2xj9t&Yp1y zq(;53$xKZTaiL_XduXwg6klb$AtrME$3LYQMH+3GCi>n9%2P{`9H2tnRcjFl6O$o& zPYWbw6ICL^H!0xiI9TW_Tv)>R*|lo1-6{L5cIvEbZ8|+$OB`#VZtE>s+4+dCHcB_x zdVLZa>o*^6Ikv}K3zfU~7E61BrW3_WN!uUDi`eR$*qGt88W-DpQL~AB)YWCNuiM4? zYX&b~d~4S;GV_Win{YyZM1Lxt;$laJLR3x$bKhV3{zv?R2;LZi1phCL;f_Eg^P5Pn zvFrff%Qovh{I_=PKU>)!k`CiZTL@$3-)fBm5~ z0O_}MLB;B%m0WdaB8|)o6mUq}Pf0r!;o~HdkN+3wF<4r}y&8^%Z*86)G0CgO^?Sk@GNa zW$QIlXInI-Cd}nu>w4RM#Q_vD7nzX7RwzoOv-o@ablX@lJs~%F_3nFJWAY6wxL$ zDJ_uFj%rm>OK%>Oy{~yCE-WPbDu+hE9>B(riP`0tS=*g}0(-os<(rlJk^(W(x;$UX z6F50~DD!UTaq~`jW-&7MrIOQ8umng~g0n|D#ePL%6cOEE46RD-iMPG0_qi@5h;1sQ z)Mv4{ z*49*&9Wpp)e{9jorlPC!tqu`HI}BWXP@L9Pb)NNwY8cfH?QcVs9%@^%!`Udt(S@))E!j(?)(Oy(GL(-k)nhUWV$SJ0dayn+&S> z7FG(>=TRK_(zm6Vc+jm0gj*@8p~i@mI%((wquhwge<2Zewvd|=wm+7sID&Gu+85jk&6B;ldviTPDz2T$~sw!%2y zYF-JJPt3WQEdL2v+7_dInU5AQ_V#^^E#=r}ir)Gnz}2|Vmybs=dM^?==eiX-p@YgL z8tF!@FljRMG@m4p|DISpzFl)Fj&n-(8nKC>R}~f%__KOqI(avmm45x_yO!SS9bH^| z<#Kv{73|5CYZ6Uwf*sySM*@2fn}%Fk=F$sFzXVBs%(s9|zG~=oOz@`I(*)sJO$f(G zZeRoYd-A@mscWKQ$>nv*g8CKXX!Ql`O^I%lI^p7W=CPI@@2e9b#i)ApvxsXIPFF3^ z3oZf^H;kt>MCQnP9qT4eI|B_*oU1B6A=8ZTqwCg!nwHzM|9*LaP)Hg!CgilLf`^KwRLtGnY+sLRT6QwG$y%^&HzA7%M zI6Yuz%X72*IlphzV9kU|F_Db=wZ*tcTn+*IzR`xQ3`tis?Y!lEzWc!2c6G5J@g)T2Ta7t&|ZnH zurwL1M&`kqtnIe^EBcQ9W)fdt@%h0(t9(5FCL>$LbQ-;&pkXfE zny3e256mWNslkM*+_cBc*7%9p`n%?8)Wj&a{HcSOc|!0&M`ccsQ4*VzeiP=embbq0 z>tY@e$-_TWRx3fZ-)0z!JjrVx!L2&18?)rRM|=26n@Gdg_8^%vUd6xsK5#8S|bR)7Bc{kpz?_xs2%&e_G@+BGZHz56rU zH!}1csDz5R;R5q(%Pn(X@HM5lW52TvCPI(M5ZDLoV3t{$kSsL+9G|cHZ9$qldL-be zukpb{zo!SqT6iR34VJ~`%*&d~WvKpl@ejVCv9hj$Zp>|#eoVeZ(k$q`JK$+YJTB>Q zbqW0(HrmqC#D9i%q{J8yyjr^>g-PV{3T6U9?hm3m1x?smDKSwp1q-X8G+*Bl>u-l+ zCdASqzt$Atdys<(l@SK2E38${$F|l!S(+lyzphT~#k_c#h=~U=$D-?61NYns{ubr9 z8h7-%Rk0T=Lc7j7s-!R-jSRz1#E5qW4zX{v)vpl*pzN&~HW~SG#EX_8znhG083?;H ze7rE|jHq?yo1ssl)QiYgJ4k_TF-RE#SLJXmEnkPZUAH0){BTC+G~^$m-}PyCVkdDG z*qAUKloW%mpqt`A%#5UIY|9wgi*_@VtJHF0TmL<_Bla9WnXxLlV@qbyuDRM0oYB9g||awM|y*-H6A%!`(h z6DE49!+p&p^|Y)Y4KRb;@FMH7t_+FgXi&u$ZX^mo0+gRyo!j{SxJEBR2b$PFTQ@t3dWl+yzZ2?neZ zS#odG%B?)vr@5cjC8b`4&$~eo_z5iKzz(npHR?LoTei=xGDt?KAHZUvs+UiOpDki zT0qNdh!rfgO4C+P8!+fd*w=%E;B%ZAEBgP7kJ6>VIA4d(Tzv0qCb<5>Jq$~**{JMt zKnpd+F4wn=+B1mZ%!5@Z?#lLq!kAH2gTalHP!UVzY!~-rByLKfmD8x564Zut0?@k% zW@0>>I!c2L7YWY&R+#B1OEt%wPY0D+TMtA&x}!WXDvT(f!QN96E+GuzlMt%(Kv%#a zRAP{J_wKXi-5(zWg7ZM)2ic{JIG54Vb8!bc%}^KZRCykRaH7@*;z2!#(iROh!q0ew zR9$#e{vF4M@p9l{&r5bg4`W0&YC~O;7zyQ76aSTgM%qB?;KQ|qLZc?Z<7<$BeB zTKG+#2kkp((FVRpZnD0G-l*Pv#(Q>5?5ghHVy30Z#cUonU_n2dR`+aVbKmojnxEnS)LeDTK z>}y_?;O{M8o3&rz0xAFp;vzq84s$J z>mSJxLG$S>4bC?vBJS1=>5(gtOD9$C1@cI5k$JQ28T@}t)2DK6cmdh<*qmp)rsstzC#KULAG>0qbgPQpZ58?AMgyp-V;&dBoZ&Q zL#T-4u~OB$f26+*@ilf@(nCdyNQtCCKu3RqU4cXD<-e>veH2WE`O#Kwg5L9umek z6Vk&e^#Xr#^OD?5=u5)bMaK^b)0hv>pe;L_}2VXyj@ zyu|HjrXGn7Y4@#$*sdF*k>=20m(dD?xam%c3O){e zDEv7gGss!V0!ALgWw5dj^@@Q=*|8@OE)<`GI*!?4Y&KA0%}e75lw%_0S|K-Wcf_UC zA;M!mR>Vzkf?aA7+A2R1ud-cNBYmb8Jf^_}=cdTNFO3>_`TQiE%0pit^1XBl_7kD{ zBI-qdUF%5(hMDm6sgy>uhFGk&t>|AFLG`Hy9!dIkmG$5Fnz>0pj$B*QQ*=zu`~@B1 zL@8e>QZLRKFWpaqXzBV3K93Tbxl~s1Kxm7BPZJ5^r5Dg1)^N?dIjFdbsY^joAm}}7 zCJFtJG{kleTZS$UbfA$NYh`PzMiRvi`aCu^C}vQ5gt0(~-w6dK(Z*j&?9XG z&l;za^1A`J@%Ev&@UBp|B>2-3F}>wZ^j9HQGuJcJ4GZO@RC#fd3B9^tS^QyxxP zhPi;x)&-U4s$(P4hbw9q8E**APcoHq2pgm34JxYU0S~-P|lX5<&GDolftGf_m9cV#j6-0TUF0f-R4)^XtqZ zjc@L?vQp8EzrJ&gU7Oc89nT~}kgN-WPd}ALlho(ylfd3Rm5MjKv{;`^kSQV5JmzGr zzMY7We_ggSKqOabJUeF!1M|ERZ^_$9%5!BA=Ix2E1@c)lbly%tg#2UuxJS&_oCg?` z9LD$U1nde19Uk*15)kkEq`LOewe^r-(?2|%t%q93X>O(Y%de9myk8AkI2CaEZxFa! z$CJU}9)4A%C#7Y|8xHwG|91KOOponeG`$t7&z`l zsZE{`SPwkD({Mq$B6(voDS34skpB`}8Z0EADz|S((E`h=$MO`d9w+w-OMA$}+xZ}c z2@xVsfM02a*kQUrmCgr6dvmA;7223gUmlZ@Qj(SfQZ~hU%SdcZ#9m}G+2r+uPLCXc z4igBI1@=uEH@k^!=rs&5fW?Jcgq|2RP<3heR~wA}RZ`Cmv7rQ!O*SxA*jW&{n9&<@ zdpk|cdXqX4{|kr2W1Z=XMjsi80PxB1g#SG03Pus2N)f|(30O=YGzP)q^#*y**VM4Y;J7#T21iHvhhZ2i*!w~(8X!f#WM|7zTZ2~#a zhKm=gZ_rO!e3a$dLsT7owaaT^-UQ~xPU6eVR*09dY+fIZyEhAxbt93Ep0u+5I9&Ms zwftgXTm*#wfj8loXV(F+{g7#9N9dMoK>=GPZbbH*B~H*q!wbCEf#V1i0t3hhpE8vq z_e^b5{6|4angVTCZ36hEe?NcbGccUi+tv-KiCIdGeXJ=&#ooSKS#* zUW`ds+{*hVuRwHP`sBJv$iTBq{mAsCf9XqM-@f#vBZL`Me!v>c_k?=6KhqM9Xbii) zw{%nYgFTrsNC$i32`bpy>Kfk4%v<&UhZOUHn7;kHg7U%(tUY7ngpsYIs}wJ5ml1Yf zH;$H0I1Gn38;+@y0(~qXscvHLG@koF`9KVVb|7wjBlI&6PiuddHMSe2a>4RwFYUheuN*KLN zV(^I|fAc=N6p905W^!bO=No5^(B5NXf4M+dZ^Udzmu~Abn-A5FAolG^NM}X47ocaT z-km0lkrEew@0XtQrFz1P%5^nwS~vpxuLRGhqWcDA=l`KX>~=X#0^RFu{tOz@SVxUni~z73|cRiqtfFI zGutx-MQ$2RZrMD4$YjjXV@*st44C){`N>dLB=?>}Hs2YWb?qlL_}@T7bDSucx;2dz zyi*z3MFcp>x>LNcl`eF(drSly(x169xgV&eWQ^%eqd1M7#sAD(zg%w8*H+P1Ha1BE_w2-iSVauIl8&*qMh`OnHTdy> zF54By!GIPby{ucL9uz~eKcK#ATWz)^iljgK^mlAA)TV5bzZn)R*w*^T0%|oS-29Fx zt;lDj@B5P~I=g7prwcC)CK55Mb(Yn`Pkb9szU_LPacA>mLEhyTR5?uImnM6<9+9uh z5&+{TWkhlCWbdRnKPe$oN4W`pO2$72+cZBGZN1K4_MA>@Uz1nlCwYD5c}#3~<3ioO zp$m1Bi2&ZjtTgyj*^_vr=x0Y8}`TbwDuwF&2vjp;#kW(bg6*e3}ecj8QH}+af zBJiwVwK7d8nOm4vGvs_Me7O?#t_6B87Z^<)cpxxZCdtCr0!d{s)^LC~6^^AR#bM3Q z<;6>v=gO5l@1^pvFt6(eGdnc$c1=F(!^)CZ?k9!CkA%g^;y)VizM5h^x%xUN?6*~J zi>0PjuJN^SVAWI5Y`UT<%=P=>-qL6S(006KkXkVBsBL>oFId8I;ZW&!_tERl+@BbK z3hl)%k2Pts44gqgvUL0qH)emsHn#9xDN|HAXQ)6#h28oaM3T)?t;OagU_PXZ-j0Gdz+BmUE=`T~9rs3j@ zlIbJ3Rg5Zlx+=&LppiJ$7hO|xr#wRyYHth2u0~80X=9Z`V3X}C3E6xsJ<@qF(5dfY zis~RwzOIy;`gSwDaOsj_*I_hN!4|;4*b<;bVsFk58xe03qcS*N16^%cT7;CinbOCA z)Awf4^xT2os{X2Z(U>kG1FyT#G>W{*DyrL64Loe{a>c|a0aBDPOjThz7Pl)AU;~H2 z=SD(VPL?=7^0f1=f7Jy!&hmT^HMUUENIW!nEpe)Qg8K)O0e|qc00s#ve?MuAx(~<}hs^57bFTuSIX>zeSs%5VdB_NBTlI+6aFxG<@7n zTAf7RbEwAqY2*|uSl?>&b$e~Q}p*Kb3x}>)8|;=C-wq$gClvJ z?|RB$L4x3CYf^0C58#yw-3mXpP`AVQnf}u*^L!_78mOZhu)#X!KmJZ3t{9&?OfU;u20j zgM&Oe3GK4vYcP5hnx#0zi~nnYGMadp>#1YzD)P5oqZR^7sxQ^VHPRXkpb_E+RuRmX zUhAV0;CQkgawVschyOH6pmy!m5P@mxzC>izo$}_$uyYe27c)YEIwW`}}H%5LMKNY{Z(bm5hhF*`ihKeL3 z7k^?m>yON5iSn!$5|-Y&U(tQ(b>LdZju5??k^QwF>c3yZi03bQWjE(lRqP+9hN^B- zM`P;PRybE%9Pe9Xa7+R}8h&xclnJ)Ak~9R)nk}-Kot@h#FA8?Ts*~vPU`=k9j z9I6n6S2?{QCmqtyxxu=49bUJ15MY|FozJmRsy#_yUPtcm{qT#I!a(%L#Gbvy0rgN# z(vDB=*6Sd+>N3+)FCMY~co^O$7eXNIalWl_pcKRtDu}4UkXU6GM0#L^JLa0txE*pL zP~Y-`D6s=Cjqybg+o{WEQL?3YVG5%$LI+eNys-*hpsju>J2SMZyB!RB46OMl}Vbg@}6F5 z$P(iV)YywLNM0Pf3wd{e6uwr*5nCCfa=Z}KAbO6U^1U^t&qc`E#i5=LXe9%@5(bWW z9=}PV#s4<=o$13=yqjztHOX7?>VZBP7%fJxNibL-&z3Ilel=F8{@bQ4uNV5hCStn} z{QwQ1MGk#Z8JIQR;r0)!e6KG|JOOI+7Lh@I)>&Q2OkYPF#an@ske6`!fNAGBN74ks zhb=B(jsV)pohX);lD}PT6KR8a{JP;?)Gz7>HA3)hvWk-|A!cAeZQfHvCioXd5B?2Ed_&}GBjIj9-g^UOl<8=E;@<@6Y+5uQEzngP zrsPDk$l#JihyVH?36_Zb9)7fF`$G-=oaNzTeko;3!o{j4M86%g6e)ysL-;ND zXd!;*gOfPSV173wh)HjA?3_`yH%M+?C!Yaz+`2$}IuD2-vr%sm<;@Z+9xMCqXst=hoZ-7h>8rLK z9|&7P3&RFCt@o3J4A$|kskbvlzOThH^mp0^~Mx?i8?Ma5Wc_a4<%zVH5J*nEKSHeNTOOPK_rYe&E)8s$mU9;qZpM9e^QpfDNk8; z^t^_Ni=qk`S|Z76j$5Htt=14Z$`weRU9RYZ))U8Bue`qEbssP4yiY83&{kW4jv-zm z8N#lsZqI6G>)0H6Qf{@PcVIwfzS-m%!LCr38@+bjMtemp9eFs%=1qeuFW0>Pgqlt# zqwY_uatYE}@|19Yy0jbz>75W0oNcuhlx96SCUt`G z+A)`jKUnHJ!pCwhgcP9`MD~f1Yat}E7LmFpd=%-8+Dsv>a9Gm+*bSYV{1^lF z*A+2Ea6{?^jw{x6Bge&zo5FyG-C<7480vQ3>aUx17`ZRpC4IHyRP%Otp+_}&F5vsW zG%`sTzZr?4I@Y{gXh$dky=iir?#s^jvUN>;+?}nBY-FzfpFTDNTO$eby5Z25$}$8rmkW^+@nitCX%c$RpENPawmJgha(# zDK6FDMq|Z%smI~_q+ygs(O#;gpQfhvw}2&AnNEJQz)%Z|pC~YzG%n_L)EQjW zG5M^Q;@gEJ#*@X~9=$=b_;yY|m%A|YC1b!$smWL~1~3w;(}b@-^}A7mrX~49N$E_O zj0j9qz1L21$Ux~V_(JtvZEcU@=Q_rOZ+Icuxn}pg>T`6NJLL8Pn(DgKO5VFyTGcm^ z-17u5X>@-^I=efqRd|`*=8I{U30(H@j3*Nw5LAB%K^ z&G={u6OjQD&<=?~3ro>)vdofOW7?j}$kor3?kA4F450i+up#$FBeCk(+^;f(%hU;n z48hWYUd~5JxptzC%AG^!7~cY!$&K7gCLfwR1DQ}g9Or`Tbt4N=$;T{#vkVv{N%!|% zy&6gxs}(H6IJhJa(Jnd}5g34)gE}DI6|#is zB#XOr=wCEolQ1{~;}26G+4RM~WReKBArt!8OJE}pnVNhp$Jvd-oFKmB3j@COa}khY zlTrRSa3xYeH)~R!|8;yI>$moS5ca{8XW zaAz8gHgy^kXm$D3@&qF6l06-=OB#7`I9Y9-WtgIZFxVAT&V+kn;;!b*N*xTw)zFR;T~??&=%!y~3ohB>c{UpJ`~0~s zaNW6p^h!W`Dh`KR1xv>0sf>pglq>*qi_sm$RNWg&-kuK?S#q=XDFH&Hz8GCHhK~1U zQ>GL8hsV`t=46sNzLoi^4vz%5&cZ}pC9~Qy0Q9-0$2u=@8p0u?4jsjryC!$rjRGZ; zyZB#Uez!MV0J& zlPN^$3qxCc2e)cfSC@;(SWxAN6a$fDbQ~@qW5T##CDg+HH+-6+VGKqt`gXjBM4zwv zW=|By4HV_^D$k>hSYB@X9PGHeTysGmXe3DMii40za2H;i&vuzW8LV2v@69xf{2o5X z=;BktR#ng`$n441jhBK8HxcF-H<4>+nJQ_V@;iUwd4cW>VZjudN;e8a8C+2)Bo%B4 z2?kaugvdk4x213|W+;&^K$0d%<(m%VN{1Q77|f^OnTa55cMRvE1yb^v|)pv9@rpq11L_jAkM6R=C8ba$7di;|DIjZ zj~vhn7m%hubqr3;M=1EX_;{r=1XRLD?5nf9>@qjctM5gOO#>{+)fM1?xP%!@KqvBS zh8E{Ris8-C-un)Shvt4&9_#*E0M%NRr4wdD;(-2U0e8N$a5@7v0b#j)!}yX{*4gx9YY~v9?}Kln$wk0 zJLx;&*#3Ynfs+6BJJKs+d9T2F67_A0ls(BZH09Cr_A5(lV8+i` z<7a?dVF1mX=E`p5=#KFCyfN8VHXB3-NXlu3;6_BCMfeU*2_5%fgZUWrb3D;5*P8DK z!8pV8bQgSY9H+ihH%*E6r;gTW->DrXU-skT3+QJkRQyiim(6}ZC~`U(f^q((!K_?9 zl5|B6YI_7?)D#+FlGE2S;r1)2fCx*iL9K+jjLnLXY9?tt|0cWs3VNZ3Xdy)!FwF`3 z1PGL7SLcPM4wz=Tt%a#X3gri$-;CdUEY~ILp@-tNB(436L@-d4nM_r`B~9BvaePVs zf59@qg5Lxt=$x85@5THKZ#;lJRj^ml7JqGRsKU*`X%vFtDg-sYfY=w$sZBeLMiXFW zINvg$R;%DDCu%Paf?6Y$J{HE$gz&@$M>fKLR5wNA_KkcPrI?rtQQ3IV9s3SZ8pT)0 z%#6$cHY>)`LvR(Hd3c$jt?BC|4`5bCEW9rcSDSX}m3YRX41{QQ%)Nzk>l=&En9fj= zaoOt|y5r$U{NA4aec9C*g>BtQ=bN9tu~3Z!9m9be*DbmM(b}m5c-irp%Kzp9qOx2 zr{ah(xg%aR!2x^x)&j=G>xJ0zEQ3p4|3s(2U>49Eg_6;&yWAczqIYH)z=m>Mqmwv;Ofe=m67i_WbyK14r4XQg3ai z`l|<$?^2U)2rNI;r{M`0vfmis+qiiib0jr0pJ9BG?4m>#lZ(fBc){nR|$N%TJbIbuilK#Qr5O$|)jM!>0507xb~u1%0+-dEr(MYWt3R8gom~(R_x}yz z*A|+jS zNdACr*6gkafFhctY=(B>j8FIE)Zu6Zz=}ChVjYVLK7q@mF70zc#CT~wBPUbR72N=j zYEl6<_XG)b3F&?z*P7qZJd%20q_--=DLvVBU-};^*n&qFvLNM zYSSrM zzzLu2P35R=@f4)m$hnV6!td({2oX--+opO^I>FxYLL=@DwoRZJoLJ-}0bYIA_&0H=g13q(+KBAc6eq#5_Nc6btwY1ci^f zEgkQ<;ivlTB2Y*HQ@MoBzIan(aAZhpe$H6tePXUL@T$-3#Nq7sp^898ZVSwkEOPxh z^v@?-EYLU!%Z?VbSV0=c3pAkU(HJlQmWYY(^jz%4{JuV3fgep>X{*PQ5+TnV#RUBJ zI{^zC+BTYF;l|W5BY<92BrIlOcdC_9wf@l&M-=*rQzCNNa=3LPuxJov`WB`D+kY` z5jdg14B)vIwE)G^FA@A31Awa`YRmd>-r?bFh|^`?-L5|IER%mdSN}m*I8B4L?nzZR zsJyU@Q|Uy6e#ytt7Fl?6JQYX%B|i*g7A{Zhy*~52bagZs^`dp!s^yOY$_Z+M#Nxqi z`HW&?J)le@>!*Na5qS0*jxpG-`0{?J^P;k!-~`8x-@py>?KMbsoVKPFMtV(tvJ_%n zb8x!60t7#JeSO7)ynR?X71bx911yg0i?xQjyi7zZ{y{>%5RI}?KCP;}ubm?NbP=D( z8Na@|pDXtVdtEIvMYox}MW)xGB*bY00pK;3dd^BpkZG*k332TGfeNB!_k+!E?1eA+ zyqg+M8Ud3;Aw2|lA`$z4mhUDR^%Zk!0ae&1ChlzD*@#>|j6;%o*M>fDDCDY$?F87r0A}h5%*>bSCKm^M}XbdQB6R z_7g?<%EQOs7SutT%~i@Iy#eTT7gBQC+aiBY#iX>IHtQ><|CwYqw4>Ix2kRET0OA{n zoPQu0RZn_W;G9)c*0gS=k7%hN8T0cZkYFQ{ksmnhAP418U*H{}9C6g_3*I52vSR!5f*n(*gODyf)iKj4yhhpGGAg21R(DnrMu$`@Pb<$BZ z@YL~+4`vVjrVrmOhJ|E&3}_zPV*cCbd}r3TKxT(|y_-&a`9GCC!F zPa5`99L|DF0(O$gyk|$?;ejDegUuc$aC&i)Ntj4tEu(titpaxXcotOyrmj^9NtA0wBKOi%uDPjP8JLMA1%U(86c%)LVK;5(Y&RSk z>!%)&nVc@QUV5P8(Xm0>+6`%fc%+Vr4*=q&lW(og#hOkRb(0>RqiG0`E2r}li(QOz zzzEz3j%Eq@z^N2nQ43%tcj872=M+B$@Kow_VZuG5t${c4Vm6TclC|g9wN4*@ozsD` z6=RpUqZno*#t3DwQ9wrc$mCO|NZMC_2Qcs3rU||T5|g5yxYj>6#^Ff-7n8TLT}4N2 zOo(*Ec*kE1q+Hw0lrLw^M>wtwIJW8ZEpj-R1G9&w+QjyPZ`KMf2P<$|8vi{eYY{4P z9|$G~1udpzTWovHaf}a+efpY*P+j@uiPlBPJ3kLZ-X8&3gTV~vMQ13Q{%#arOmnv1 zdVq&#o0t~n#{AmnUTgUr2C1Iq8EVm=|YxPfK@^uyhk zl}@`%NXJctHx8HyyQ z+wFR*)Y|KW97FsDO~ttj$M`)tG;t!Z08vI24M@JF6A&<+Bc!C4IgM*eeb#Sx7OwkZiYaprP=p-;nMa}?c5(%zlx#rQ^bS`|>J3*p zC$RPFEa!B}Q_JN6$=&*UKm9hcX==)xiW&2`#KzXPvL~z*T?dXFqc>$t_AOuc7Ogvxu&*=+FNH4sSgx6a4l|}JW?hc(he=kty#sF!B^AyTiEu{lB6o_3&OX z9ICBzOF75S=)%Q8Td-LA*E_ZT_-7#C!bjS8Vm}OIio~43rwNo4W}ag*!NP&;Bkg@$iU%y8#VsIwtpAlb(6ZoR@-Cqjqe8i_jL%;Y$wBZaJ9!E4kQ_LedfCofjcln$$|h$EBwH}g=1Jpss%lvwF|F|fK1jxV z;Ub^Q(*;i}2qN>PILd`!D$W;5zG$9LX4$+mA{^x|W2dq4S289{pWaFT;gRFgT*vgZ zRmTp;iJJ7ONiPpcn;zb&t;{g)i5Mnb&LK13%ceOz;3)5F8Bl1HUYfuvKBlMar?O$C zIJ;>)4QSxSh!x`;vQ~U=$RXW4Z#R_^B#|5HJhEJTf5;PZo=v^oO0CerZVIz{Fi8*n zq_{j-@l-9(OM%kMS!8Yb;gE$_+_>mN8GbKGqD-;`vbvZpTC#8#db7r3K*9`XG-r_o zK;yISS2E(h^QQPExE@*(qyb{t!byfiGVm-2#uXn(2|)@AvSg4Y;HP5=w07v^Jjifk zFfzQKOKO?Hq;H9M?)t?R#EN);H)PHsb2os>ZMYv~;?B1_$`z0%m+4$G5#hTu~*SKu62N=7QmxT?Fvr69CYSvLU8126f%TY$@2c19mR~ zS9bQ^XGp06R_N8ZEdlxBk; zq!Aom?q#z>y0CT2wx&)n_LheM#r*fF#?)YpYJe!3m&uG0=Fbc8MDtne_A%nX^Jy@726csutfSyt08c=$zcOOpd(oH?orxF@3(pz$ z6Ls`6={bSChP&@W*jdx^NX?`BCa`ILuun97HZ`f^?;`=XX>A0&!?JNH+k*CJ3)Duj zYue`OI{u9~+UxFoJ<%+n6Y-go2Ciw%XOmLhb^Sk?v@8lBS!AL81Ydkmr9acr$9(PB z(dh2|#AHaEk-ZJz_kkG*;=<@6v0~7W&Q2WYcfVb~dLTN*qXigOcG51$B1E%q?58~;I z3kW*KB(^V!=--=Uf9ofDw-!TnD^w^n=!~5Nhz%>3@J%tRA34yUZ<8RLfEOX$NxhhE zTid4C+SFYacvQm{D#>vDAmxGd?<`JzOUSQxLc_oh7C(sT60^v6Nks_a(1MHBhVFP3 zg8{N84F_ruzI2o>_2bL}9mSf1mpE0-Iwa5vQYejylf-dk9gDJ}1MJwA1;Yw*8oql0 ziGgm$apqezU=0`w%PL1lGc1Cs7N8EAf{0d+8ZDzXs@--V7e7|eV7!zOw7X>{70cQkSv#OMt=_O7=wtwtdu-b za%eIU`+j^YfbMG#%B?|#(s*RvBuFJCQ5#iM%4VQM(2nj3)sgo71EASH{#o9D6)A_x z$mxdk-@_=%n81_7IqmA=SibTp@x$Xu?4vxTYZx4l|gnm>fsgX4&00+I@VnKiU4cGwOb zJ5BKl6KN}+Gc*sS_b%|hq&0HXI7b`A3^S|dP!?OA6?`ukD^;hz-;IgGHo<^qB_*rT zGz^h^xIaQnt8l70itj`>+V)zV6+j&L$t|ahyS|uxuu>_7_8%~Alv`y6YxwwJw3q}2 zp$gyICh2^zrln+#d9ICw(|A?Dptw_gTbKfWKixO^8*ZqhH5y0`Rk?w)kh5b~~zVJOR z2Gj2_9lp0o!Nd+%F?c}P^?5PucvdsHmq1hIRk8O%f3m#!vmIshq7P8Fe9jotMGl$4aSWat{eVIVGfmeU zxbJbzg~7oEA`Gc%Fl|#?l1b9!19%jsNyBMU&(rS)bS%=1HRjZG1C-Q}2qyhui^on< z0Y|rJMC-Wehag6cT}huf0ad#L&UPo=WBFs>AbcSM@%N%S$yl9vYA^c`-c&xEr#4;` z5FYEcCX;Rn034<;lkhM!P3{FBB7d1YeVjb}K-$7AIja6JdHf-am&xNX`2>9j8DiAl zXZe|==g}XU8jbyeFi@Uh50VZ~L6kOi+~5O(Qs&b*y*rJA;q8fXW=!3jfb);0T8OE@ zvsqR_6!CJp%-7I~Zv7`jk?N;ec4QdTk#t!V(*!v6T%yzUi4odf!YX?<{;#V)A; zL?d{BRFA}w2WWY@8&c3cxo({ktlh^o9%mbF&ITbtcz$IzY53S{&?J(SvV#pGRP!xh zBEhwR zMn$SBpM=eb!Zfz0>npe}O!Fhe;)pvK9X>R)x3l%+m~NBN4Fg9hxCc0UQ1y5YomG%Dk{w>SZSaD_>1mP4TR8yjf!R;EC#Z|T`XZFe z-`fKM5p^`Fh$Zu`{n+2Hcu!+(g^AO>=n&7_D)Mc^W)3_q3!}wGD%^H>#~BAUSq^O+=Nj3|6q?@Rb$EFy~Z%M}gq!+8<`^s(!9RN1On z!_{#NGwb-3VU2lnz*L%ML$ovefmZCmaktM{jae0Hy}MJaPx@rtl>n6}ZaV-wVS$Jl zv|j##x;mgPJzIbMr~2-`E@^)(J7?-zW?-q!N9dbf)2|sthk3EBGaJxWWkq{okG+zV zN9;1}1vqjFYY?BjIKgX+eb;I4XpIy&$RJdB1Sx+j7P3Z7%>k4N-BWvZl3`Ipb!HbG zXt~ob9C7UcT>Z!2+A`}I2MSU7k{^Z*B@?U$mT3*wfxzQz@M+-t^V=J(PsjYLa|%h( zaSF3eD~4}UygeEzh#|hhUxk(|2#Vi~0C+}}K>cL+e5a&q9^)S%fSN519{T~|sjjHt zp;*}4p66KWwEb~~!%~X^aO=?s;t%jK6ZPUVBk{ijLtNrC2a|#J7zVcD2|VW=`$1eZ zr0ISO#$`mDYnm}&d4f<8&m^f)Y8aD}+ERkE)YcbMTA9bfoYKzLW1ngJfI!u)#1*u7 z6k-!HZr|nFf;+1>ce3FK%NBgTB6Y3$N+RgCKD&pr#P<`KRJEy0u4%Ls`eJWr$`w0_ z0liaQJhI#oE)`~fVN#K0S3W}E*m;_( zPHOc``nrBagj`qL_OI`TUsmC4N|5a$zE2Mv%IzG$EUJ^@A=4ckFYCIa%VJ}%fXAst z4jx86)v>NvU(qH6;Kmnh6oW{%VmPt86bX|KtqS_5>{}KZxKpXLT-O}A<~00fM5-jj z=}}6T;@Vxk?T>VT(NSali$Bp9OhFJGoPcH&my<~4d9Q~~6D)n|oSlwN4!tA^;U6`1 zexn@V8oQvvRbjFy2|>1>Y*lnN-r?OS!rfq=^~a5~=_|NMDgEm0g;C(a|7>K1NBGkQ zYYw(p7<7hexw=|m=3BH$e?E&TB?i}sHK$Jp4F^XCHHhDLj^YwBv>;)q)c=)w7k-~T z_Sz$GK^i)l8t5_fjs5g2E)z8_mx zIyR9mpzE*)E@isTU;>49?Bcc9x1%^Vd$U8CQ@(*9v^}sRfbQC$*%N9wCxH+bmr!sA z+IVOWGC+J;K?!9TKNA2+GQV(k>a`?gQH|AzY>kjM0Q;KUX!#xv)& z;p!p3(cb}LJgow{zWfR=EAwjzAhLw?sFheM4NnC{0B;DjI#w)8pnLvl-0o*hMs?;V+798v|H^& zJ+m16a8oD-4@3@tHV#%k*!;Fa;zie)(%#pYUZn#Z+C$MA97)<@KG0F}g24E?QMSNP z*7%mz(@W3aVjK8gUg1c$_`!xMtc%yh@=OP*1RiBcx9w>sd8xM-wp-FwtDF|s(iIm- z2Xy|Z{jQu9imDW6y1{g1^{`Zii(1I@XGKvj~GS2#nqAx8r}ZG$j*>X99@s!~7V z28x*I`h*znd8W2MK_z3XRryWvO{eDF6rgv_DKClwN|#;uc&#Fm()7C8s@oyh7tHWGghMN^c&l8U`^upbX=b09 z<-4OUS!V9>o-KFQS!vt`nfzZv-I+Q68BE87k*7f&Zzku;jPzdhrgvjrsr9g)ZU z3fw1L6lg+70QL@VrzLlL*D1VdUT;@}cDWGdJyOO=iJ*N27e`WHl$qAs`b@hOl=deZ zXQy3MuWbnm)a48(?bFPQX$RX+>a8f?Z(g&Ch|Z(`?usM+`>cz>oI92nbHGUmTY9nI zDf7*wxcm>^y_0+U6Dzw2{9OwWZ6TJWTHKRpt8M$W#yNm0%Is6-8-{H<@XkuofWL?)NXfac3klW>P1jgH54M+MU*@*?P43&_VbaVMhvuNQq04k(!N zp7MLrCq{^A-KSrFq6|RIa~K64Ca~^WN#!6xR7?{ppY8x?~;?Q z0~Ki<2ORW`sr&F&>FPArXs1I78p6Nj`*1yxF3-ef;D?$p;pah?5T}Ty(+?&c?rbf# zvtQV=h0_m9+u+MhE@HargR}U_2Fh5&pz-q+Ws+L|nxPYFYIYqrk-+>?Dv%hSqky`F zFrX6Vdb&q5RV(eybju+95oU7+NN7q;%pHA*JUserl;u0Se!Jrrl(wVcWRBNeQ{xeU zh2Vxfk7uRa{`=HJ?tm&pdpDgfc$=>}DS4%Kh~cC^iU!a>hUthhg7pj;Lprm{LtEp~ z1iKzm@B6m{|3Uhia`X)fnLz*MY*to8sye^TpVYak&+Yz-23Oa8eMVtr1&?OBM-i+&Z zn<<)z4D%$Oq&C|P)Nz86htNBBVPDw{zN!Mi|FIUZ~2Y!QO`;xkQhFiK> z(^Y>5e8&5IGE3fF0XzUUi_f)F9owEw7R6n$6}(7GEf;qBat%Ukpt#S5kw)u{t`C8b zlQzY6Tf#;J#Ik9sqB)@bzD|Y*Nka)bNk*EG;-?)+)_(l$3KV_pCW^Yg-m5Ay>QT}8 zKK>ST?mN<~>4NbEIcOO{MXDdA9oqOm(t*ktV-9POr}7nwARKy27;>KJ>-AywJ$-zJ zskp9s2@krSm|p!{78ia_({CsCQweU9H9{7~+<5_nKoWS$pRMw=t7+1Nlq{5+X?d!l zKlN1fQ`qfb1uw+F@=RM4V&PIJi(NQVmu$bK`vw&dB}P_6vZ5CMS>FhZ9tiZjAigV+ z*4UFBG&$-w%S&JIuh3Qy2ntgqNXWv}i-LG22=2E?N=G>~bgI(5D%{PQBK&K;0*d#k zsl~yW7CdlRsgtp-;mlw!Uto)*u9v#=RwRk_kN)iOF+Je8-$wq9?ry`$s!u*c3&h4W zQZ7?hOzj+BY_h>8i*`r63CaUOxXhTO2=BVd7?0^V9&XBkLl@Z{UU9uRf&H5Uv!{8p zF>j*dFL@p65;NZq#l%0$<#}T^Iji;Yr5otSsf2URa|L5A3HBWNiSzlMp9n1HB40Mo z7fw4$_ly_#Lr&isA7I9u{;f_ibWRpCT9ITA#_ayM7jWMN%Mpp9K=3~o8AE5)Z#Jr` z&G|pi7Q0cZ5dvn};;~1PdlMi|G97L`&zFn|CB&6#s zQmX650cYc&QR_ebi&5~6_)_L+dBYSJz#c%vqWzS*b2O$DUq&%5MypbR4k_}$x-Qgk zgR`EaHr2X5sQwm{X{5?yhmnDh&JTozFHAL7l#iI6376gAd^ZX=*ik@EN8VVI0~*p& z7esb(M73qKj(k8h^}QtWKO=lbN~rPD?oj0cAuLXw9YqJ$2t=GjVe}dK6TGsFI@)`7 z22?I;4}(;JgRi5b2LUwTq5@QJlzc|6fU3-p$`;gu@q1EBp8%`YqN77Mi9aKA9KRS{ z3h=BE3NGb7@O)1OE=b%khPQ*3=G{p9KTUwIp(gp24Z1&U?^ibc2s`|s?ba*@1{o`kZBxCo!!E|bq%2pn4JNTv@v`4=cYbXmsPe2#R-~D?Ze@z+o zqzI|s{q6ev@z+|;JRxn8twOZhsm6{gSfAxuz`pw9v8Ss+*&Kl?UhQ5!{<=D}`Nu!& zy0W2Px0~kUe_?<869Iy`sTB~VnjY%^$3IapHDQEsrGR~ZI_nA&bDKRFK*w;yI6?_h z=aL-&k=Oiqlh21I3LJOTTLbg=pZ}@Op}&4SwOr3R0(Xl>N^NQRmk5V0=px4y#Q?GH z%1vLiSq{~S?#;JoZ+9(~_{+6vY#EM3%Lhi5Q$OFXRCH5|C$VYlBYnvh~(V*mcB`~WewiRyJ-1g7|``kOLz*NCz7B1XLxB$Mf|v-svPksJ2+^F3hG4(>5gMfw(J#4vUL<-|Pd8wtw_2M2#ipI+FP9dt969Z7+p;92xa2pOf^zxq5&J7asMfuZfXP#8G{3KiOQD)wfjQHK-l@H)aX z18_ekb_i^DJ-?gb$%j(D0LiC5insNP+V&V+L|@RZyEo-W6LvnKLy#~7Jf&)$oFj8| z3Z|YT&<(VuKqtf?vmEdaa`51;-0oQarvr@^F#89Oe=;2P@ko2@TKN9ND*vR`>%JAY zp|xrY2J`3i*s0bP6UVjUG(!ryf(r&q9{;>A*%A4WQ5+3i^(6nXKfo^^>Bn!aqKBIx zAWspoP&)FtKMY@-%D%N+5OvEkZjgrQ`ec`S{bo-lliHvfIfXA+ zoWAR1oFH&~3H4^CQ~n$YvqH@2HC7WWGv+hDtpxP>ACS_*6jJ6mY#qbOBu6DHFHp<- z)_55*v<%F7t_KJa0Q+?Cc11+#fkQGFA-NNGkZ!%Rv;j18Tp!u|Pi5O+1t6hL41V=8Hjx91R7V9)u97tVnUiO=}e4?<1tb$1sgP=I%*(& z7V?k(^izyT4+xMnk88+htaz+<-N1bW%V?aXq$`;tG#!%9G=YoFvlRr^N#v4ZG^hfR z$uMVuxd?%g$7lmyG+`>z%&e5-9+{2Q3qVIn>Q3|>&9{0}vC8&SO>Gp!VMyA|aEcB! zyLY5(mKu<3MNx<)IiB2~tYGL%Kah?*BNFnm2OZ7ubdI0Vx}T5*XF_kTdWT z;F4gz_<^qQ3JB1`<9Z!wjQkIzeOG)m% z3N9rDnU*wR)^fjO*n%$_HaDT341!=vx#c;x-F72B`Xcdx5&u8@p*FLL<1kH4Qa9Pz z1lBa!)+|O=XJZ}Syx3QFLz`gL7<%x&l));zs&Np|Jp(vs#pO})({7{f{IE5hEB!e8mrk6C1Zni=^Kz^2<=fUBl)q1;fH zmzg*{@?YHg7FMq5h&Z13)t6g?ICs z6qdu)M24{Q08En_A&`MoCo(@Z(LJ*qwpG3Qx-Rz|Q;)A&8>CRLu|Iy%jQD$h2-hf3 z<7zB3eV|Et=8yswFO)C*X;`M%*@1PnzGY_*rfk3y3-rQg3sAbG2-Fu`dh93gVFQ|0 zJ7MDoRUv9oV9gXmq)n~?nb3&9i{d>g{0TU5TeT^imjc!jTD5P~wzbYq2W2rF{_&92 zd+$e90=nG|-6Giwm!=Hp6UzfFWZ3Fj9W{Fa!49B}aHj!g!JuDGDiV=2@ak4cVRq(kkq!=7C`W6 z_U$MrnY1pU`owgzK9@bIE=L3(Ifh`Y0l0_YQ7Bt`?zW>oKW!FWLz09pyXYU%E9*7K zeJz{zq7drT?j~0VcOoRAK}wy}!8^>=5Fx;Bxg0S>){t^olwkDOPNYp+1_ITLuI?LB zTtGeXXx<#^i6%^tQ)rm|?MR&<~4Oho*=Qn;P7Epgk! zXSXTd=JcOK|I>{M7{;`uXuR#Z?{tr|bJb*09n7>cF3gcgiFta5R>~a8h`_>u^m;o# zr>n%s@UlTj@ZR&Sl+l74gs<%pNdX6g_I3));u0jg|309u3c){F=XqTPm(JjVcD!rdHvrSi?{x2Cv_;mmK0e7xVNyYT*n-0@Q|x$I0XSwhA1AR5 zQknF9NCGloP#3Q!+E>M1!y(`Yw7scw+E{zcG#1pT(@A6MnJtLL&>b7pJ+8x%@w-sCBVeuMC+Y2tn7_N) z@*E-H04q3bV8ci+@uX0e&;^W z4eCu*AAfrQf>OK2oA5GeC}PX1Eswj}X+Qp^W;=3yn>3P$V$3mE>M;?HH7V2mTTwQ5 z(#Ilt4O3sK#5S%Peh;Y1bKM;8JBjHzUV6|{D= zGwn^HOlouj5LRB&kE;9lTL-U?S0}&HXw~-qTAnSAmPW6%2leqk22;*)TZ0^iHiH9t ze45z*gQ)>&!Vrd+9YKa|;0G*cuQ~Ue|Vu;$0l$$v7hSh z*=hRxYHt-@uOo>=qEBsI*-zQCQ`;}VLaFVi1OY#J@k$rj{y@3meZ$7bD1=@hB?Z)s zs#0vpbj9i2zbPe|e)8OBLCaj%M|qq_*i1ApECS%F@9Dx~U04X#or~)CMe)h<;(4p? zmzX_|j9XyHXgE|Sk>`SlRShXMVUIPoF;{j5vtt%Zkz-#49^!}ubY1|DxJkFArprzR z5I&a}K`)UKQ_@~hUQGoi%d~YwSLJF-qz!y;A*^gA1F!pq@tib45 z;~JDz?p>HY(`?bw@9jxHyEl!7X9UEyc03isZW~3GAn)yzp zY*1UWt(Y-|Gk-Y`mKN$GIB0cVC8-A6A zlNpEzQVRg5SAmP!whY|@51>U-AdQ1Bq(LZnf4tr>E`nAdAX)UK8bSz05;OVvrO)9V ziTFfnUa=5?2R<;EklxnQoNf2Y0V8xxXPW-4pal=7kb>%ryT{f1@DCgRaQ#fPt`Cfz zhYPMe%T3Mj!Nfx+G7ec{*oW7Rc}LsO?edscw7JWh7ZC43Q#Ns}i3V~?n*)O~;}lmM z3dG-T%@fy@pB=VIcwev+PryRcM?zDHv6^?(r-ZYotvZ~T<&+^{+y}CSRmh{cSMRlN z@~1@${*A8(XgGIl;9W_2u2So)zyF8&C38=EO}*LN zf6)|W!GR89x48e!9<00%u4|tTc9C}zJBPkv-1P&hB-)KMVeUaq76|94;cX@IB7Uw4 zKe*AYa6d58=gwpmd%JtC4yoAGuYi&qgvPF)`J}tvud%t*c=z0eE;f^2fVAclqQjYJ zGen7zyYPRiWCj6VSHc`fp2YACViP~{0@91`iSG-a6 z-}_{5$gY#Hdm&xT*V^qoB9ZXB2tRl-Z0$s1Y9ucFmnvD+fu{pSO8QkS!AmzLCkgTB zosKmIB8FL=Lw_v&vo5x;pO_^GcIvO?gmh?Tq`2P|=?%Rwck;W~tZI6m2}ix#vs7UE zA-E%T=!vW!;nD%Fpsi(=ujcCmF-s%FT0AljdG!$`e&f4NT z-AXpbw9!+*Fb!XHXm%i7!rk+z+G?|2Z-D|G+!SEUBmN}93l_(s(i@SUcR2*L>kxH~-$RQH z`xUOZr}_lk9=cIzC_Z3zhOYH*zMGN^IzQ61aJVZqk6@)vpiQH7pEzm!-W75?D5Cf_ zgkdy8;FD0Z>928xcQOzYfH2Al^!MPq@tib#56T55I;7d1;s-W4X7T$havjPX(f_Q! ziT5qWQMV;X3V=kmGXIW$O#V{L9Ef{*4AKj_H%hoTg3kfiNjiR~Z)N3?$q{geW|BZ; zO5jtUw_xYElWSej{NZmb%?XsI4(NEUpsL>>Nd<5677Wa@v~04-fMCGSL@Q>P*j>lu zjOBbRu1o}oZ5&Un3IwFuzzLmi>48;?XEmuEzM<=`46OZz>L1B0G~er-8Q#sOqw?w zdA2pzYlr>Xxh!TLM4oWyb_@$RpM|%AfrRj~n{PQP6Gq!p-)is2641v8WUA;OWIjU3 zioR6Vp=f{XVW>XUw3)L55L;1Vr|GML?^Ju-Blcyp68vy8ZS>uqSqYINaSnCQA&mEm z1X3c?59nT>bsKg4MUgIeD4EsfS7P;No{*v7;M2E(3qr@k>G$UaEIbcLsUm}WF+@4Y(K{EVa@ zYj31;EEU|*JUTe@M>1MORn^qW$=rdCf{ecN)F0JZl@*A~p1=GP$CN=ruuQeC4|K)v zKARhJ*9{#-%Kp`%i^;VrCZjEP_ZE+N95si;k#P$^H1jpbKK(EQhg!v2I^BB?pyFxQ zC0xRdmxHtJi>6-YWUBCFh|PGEcc_90kpN{xv+}SrQvrem^P#_)Z+o1PP?m-KVbX}t zOTom150qY|@>oQ=+q@?x&B^3$Gwdj3!*4)R5*IM7idf(0tBk!)Wkxw>F||Mx$A_fCV(Otp!DsK~lYS=~Ini)J7Y6oQ& zm;o7Y_Ume|jav6@VWB#duY(Rc9$C0rU0#mt64Q~${w zRk*|vSFJ${tO{>^Zv{zXa_ldw(kM0tYCPS;T8jy}E)5-7%Q-^atIC*dGLZ*5UuMM-Zdt!d}(_r?w*{qXnvfKyzA&`+*M?+;oQfB3zv( zkle2Q@jrKb{D)5E!YL5MQrU5Y%w`GFza|IU7xf3yA4_|Wm0Z$A=u8c});*nHXJ{x} zMh;>rq$-9(9*@?s!fQFl?p}0gA!`Su^Qvu6T2G@mUm)J@fj23A#0LM;(j&RKdlN<@ zHX%>sd~uBu3EY{mMX=eJeGuR^wW}|-U|iEbib*Z%jlC-HM^zsSx()%kmTm;3ztH}7 zZCNZ2kO%>o9ms|0l2#dz7^Gq1$sx_^TG;ykJKxd0`+8h+B2SE%exhOP+4joMKMtJt zVdJW(VCpD)ThmpCc6qyi9PI5ZAprNZXsI-$ZKj~8|1^1X%)h||@ zoi`^esl@vrHbnYL-k;de4T_4$DdFo3T%xvS&jw7|^2ffgC>N`Q0Czhu7;L~cce-@d z^{M@%fABB=`!w2lncMIpMH~}*5t14X09V@EAwg!X&$AZxdf2Z-N`R8TYpF~Gv9B;l zWA}Np2`3p70{{VLHGq2}+G$n4+TDddUO5wPL?#)H4A27PKXoncyoY+Tp`A|Z7V8-_ z#DxD~hhxk%)$n0CVm*b;Wwa1u@)>g*-NG1NS9nE^%KE?m>brL^zp6F1rr`_}uxIf& zFHU7!=LK$#z`oU=@?Ilr&%PFaeJgKhn>o;IW-cFu%rPB|I+Xmdx6`f{fF47fG~Ei?!g14ASM1}jV2qFOkoF2NPSQ?k$vOE^NQ>yETr&S5O!lN~x7rJg z?u%lP%8P1W^SO==&x;LvOt}85Xq@RQnCz3-0twHWW)dRf&oj{tKOfMv+%=;IR9AgxR=l-b3xqzyhS?*zKBZ;E(g|BoYcfHtJU)g0w zD;GcJ^Gbr@)<$0*VB=PdNCmce_5g!z1AWMI){R~{$StHZ7I}(h5A*2h7tys@%I%Y^M#q5rB58$B)WA5v*ryg<5ta^t~biA{w z2)VVQfm%)?|CKG7dJ?&*)v5#4ph9?Xac6#xi#`WjpS|g!4dDiqi|cMxY*ob-4y3{^ za zYy(YQ@s(yFK@9Wj`nV|(22r9jAWZKjJ_!xz60o8b&SooW(I6FExD7{Tugb02@!%h@ zE%?D1y^7ZxnFcZ)MBqWK?T)4z?e@p(DYw@xK;dc1x3Ciys1>b&<8@6v33QGVD5#*U zZYrM1m9^l-2_%^oFFM8s zdE6-Utl&e;S3SDL)n6%*c5`aV0f-8d_OEF##Q}q;_!1ObUn{nyiIVdb{Q_zw7JPFG zGL$t<{}Zz+e~tKtlpZi+@GPp%y4J847ZS79?p6$DwZarT*H^e8Pyfb|ny{!}8m9;Zv`Ty+0}!od2U$A}oCW=cp5!e9W|-ab1+G|k=U zm)j^A%X3a;#ix38ra{`#3{s9Jv$tshp9BT*eK5rVGR^?8<;#gn+BZic;qU&)O2|Z9 zi)SK4I97m9p)0_9e+;=bAqQ6A(5;5fY!gXIw;x>0YNiio`c1*B*{Lh*Ho^OB5&~=- z?5&V?<|{5PZB?*WEwKHl1|@qGUIcT3^fo$;aYB%CK$5%(D35Wkw>BS))0?rxjMQwFzwyrj;ZguL=Xe2kfRKAa+;r(2@tt9ZiXzNYMG29Y3I$s3K z8id*S$nOn8=+=EioC{)h4%Y^rmRhH&2lcK!F+~H`5p~8OBprl=PWc`7*#p~D`tG(p zhya2epi{>;EsC_k8JUELik#uzh||2Btf8tn+gzEZ<|Uns`Nyinq@R(hSQYubi9PF( zIG$7>8YCnREmgEbLbuj5_ID;YqA*CYl1tC~)YYLb6FDiC>34LwZsD{me?vuc<}-!4 z7?zW1G4JQQhYOlJ9p&Q>#btEjFvl2m|IJ)Kpw{d}UC_+P-iOBH-E2OIDIP3og5=(X`o|$Y)_xrI-@IO)a1UV_Vk@ z#xAABa4(2MCvuU5{)OY-2&7}m%Md)5Kqo@7fV5BA=P{vxg^^Et1N^KGEgX{hOW1%( zyUYL~*}`%Wau6Q8B&ehe2_lEpPe)Z9=ufd@OK~yCLL+ok;)Drrsh!%usd(VZ(9%Lq ziQXq+F*eYKmJEP#b%F@h<_4zp6*k99P4mA#jeQQ{S0stx3W78t=~qCBHDExTio^bB zJw&0%3b3&uKxxf*`7$oF;;3m!1c?D}T|B7_ojICm29X^-s7UG!B#yC5iF*qzQwC7h zEy!pRIBAIFNR>LP{uN6#n}4n$%i6iQ-ZMHhP%ZySArOfcD3Iy)Wsf3k*$k(YH(5F@dT|8GB^E;tTqd1JLbD zrSfY_XIOoy9q=}{NYnPtr3VH5mYKs#)zbC6saoN>XLhR=fv3=Lwta11djx;lucfN# zS}5O87zvMR}r4t0~G(819D)i}(beO&E$`{Ds3RdNh06(OOrtr&{R6IPisH*Jg46NTU59b1>zu3zXw>&^I zsekjYy?e)7xC#C#6)6g&lhh7Pdf{nb^>)5ftI|A_Qs=Mif~KC}OZPjc22bRWj(I?v z0aj&@bHIU-1GQ%2X-VEuN+SEAV2%pZTbe}d*TyJ-#A51oiqG2B;L_TV~^T8lfU*`=e*nP#;+cf zL>pV*FA6?yC08w&U#SLw(w>ofq5%b`Of!)24z)yq(CO~GgL6LaJKVcy z{lQuELB_h;^FGNFYrXEBbFp4yUsEsC3H@q^5HF!Pg=M}i9tr9dtVR9d)FY0ct{)7N z-&fA%KpVpJ=Z6w5s_Y!|&xP8(U+wkh2YEDb=Nw7hsdkN1Y;o8LtQH)PcBIh_*+z=^ zWmepVi|u+nWsx6pVSm%af```=olpm)tLT#3sxcKayXp>Ik;t=J(T1?wDZ1YQ7sRGx z^^D%V-=srNSDVg}_wP0RQ6E4Ti!UGK7-CfT_?!Cxy=)+1$LyHhWO}UEUwY9OYHziv`r+sHKa!ETH{PRpq0N zuR&acboypZ3TWAENDHMTU|`FEi+x-}U)|6F0kcOvF`bqBzS$~xFN}G+JvN1Q z>x@5-+fY~UueBpV4oBJ}n-@}4s1p!cJcw;dSk&RFepRI1ot#}&@g9J$AJhdZF2j?y zJ&a3W5Mloo_LEulv=ckc_UN3i*Q=w`-WT*=zSAKWI`jm#8%MvY!t?&E(BaqKOl_i@ z72nJ)f7ti=st)+#z|6&fV@m*qc^iUF_e3jNu47l?Lacbu9b6qJazmkEe)!E#-@T)& z-5T>v!V3^Hj7I=c=SZ1pHVWnu)pU4+Gp}B)KvP%}dCtt$f}4SPiCz z_DTVidbp6WB@RyX*jgFNt162(O0w(Wa1(1(PA1l*f7!QZSx_ouOdo%%Dn=6KP!GIB zIGakHOJz)O>XXHIkHlyC$R5}#<_9|$q_%XuY2R=MQ~5>x?q9*{-ls|nbZLPl;YNy2@<-!Fo@xfo+zvY}KJh+C;hTeJ-_KYevnu_)?Th{*k=YOX|Z<2PuFKir|4TiA=1W89~JhvUs`iNfE4a{P{)OXGaKM(^8VeV8oMX2g&bHmsL}v0bqBv;LLTZb9r9m)fH|Kw4#(q<8Rml7PcKA4u@I2inDon;&&`#r3zkBK{x!U}XEwX`?oq;<&3foY@ASFn}cGEsaL{ z&@Re>D+h>94~rt|LgTv*ZR3C#>^Zaw@jNn1G8I|w@ys#l%!yo@8ifsyCw0>^AzebZ zh>*K4Ah;vorcc%lX>~k&Q^^tYXcSGcNHv)nnpIl*TMEUm8(rv?tr2ubhW5G?A3Jr$ zCM$<_=&pgIXs22bRj%Ja4|ZS1WMY%z4c5vP`_~o6<=jRH&+mQ>G^X2xW+JMM`rRMf zc}^YQB6j=Uk(ctI{Tl9Rhf3qC=o!tlNR{0J^rsnS%TRL;@Y&YQ z+s8k<*q3U5a@ZtCi}9sC4)bPF|8=pYVQ!Z_^a9Fm>Vpe7-%mv~@1rl?;W*ZSw>I+{ zkgE%A=llLeUDVJmPSx)}{(5Ni&|W==HOyVbMJhR2A`*uy`{z=^-ND+c_SC$o{d}Y} z%vyaZ#&Kfet9^f{)V;0MeG08v1$zr6r7&wfhv&w>0b6YY2ZwIZEm{1JJ*XCV^1l%PJf zj|GmAyt~^WsoAX$+>LF&-hKS_u^4~ZG)0cH2+rc$21_j&+7mkfwL886i%gh2-v0bw zU6p&&DX8qTGsLx#gw@A?cRg$B^Td&G2UkaajGUy9#w4V=lRjl8IN)_?JzO_^mxJeR z++6h701&nrN9?371&s|Iva8uxr;}a$j?D0`OnNr&0CWKJ7VWv*tOKDE!h zRyFyT?PZBi>duv2{7zeTZ5`EX#wkcJhZ7VZr}CeF%J!4&*$DtXS;HYtl$g54#T=|) z7ChZga6w4|z9nLGYtnfgC}R_e305_IB#CMG?08xt!dc-md1TJ*vTiNLG7@=tf2`^g zU1(c&oaS56Q=Fk{krAmYNwX^%DhXFhY`Xk5!_NMY7vjwl2z-i35jmpgM8jQ}`bJb= z*9hlglF0Oc=MBh|MrC2E3H$&Y_pLUU}b1Wy_$Cw36Kd&Tu@aZ}@al zHt8QKDsv}Y12dvlfXfI2240ANiJ)q?gy0|wNF?0N35Q3q5Fmv#-4&b1r{C`Pe193&vwDkHNLe@#gV2gD3WfxhUWCoRx zxK3epK4RZ&A;Vo2QFT7qZt0I3irayJ%o zOtPcJZI=!0SPzplbq-&xmX5!NX>clDVMT26hiL{VTa4SJBZma6_3vod+sEa=Mz`wM zZ^iz8n*a7^e|f-|2CmXKIQIk0iO)Y7+G+ZhQCkQ^1yYJM_ z(oUW1dyI1<3Ln*3CVn&}rjSs0-lOTxdjUSp=ejz@K&KJT{9Nv?mtwWD{&`XruoYJY z=+{rq#i^XrhE#C}pbhqgYQ}%C-`=VMpglf2cnm0x`tM!c**~|K3|X9hR&a~x0hR+F zqd0+6UC6fe)Jff+8)PNMJ>4L%5ah0$oW_P$V;Cd37tmK}_;ahhl--*c>1kOs)O9x8 zU|Br7yhR?eB|jJJCrN&8(FTaqP1GD zca|8S&A#vw&PxlOVEQ*~7sS|doV*e{(5>Z>{1Cvvy(=Guv;N}2l zQsg5|DdAEgpBWCFB>lOikxHvR$73I;n$G2U4|Z>=8Tu5Y5%A+)s4*$x%mTFrW z5rWk!c$2}lVt+?>SnUyNgcv{(1)aO4{k-ioElo$K7}e0T_jF(H-jwL+ldKFvqXTso0)i%=luX@n zDqypCT=_*GMyBRGoi228F~1d%O*VMr<(ePY*hR01M4cBL^qCy{`%q zvls`CPi#AlLdpsynq^#0gP{{SrnB48_)I0xAk{md4j4=e+)0`BBupfyFaFghRlLo+ z5Pqxd_;|T*HCf=FPg$ z|F+CPeN?-mJPfPNclHQj=2+K<{i6;H^K5pK2D>zkmXQH+`5pvA9l{WsMa4V^{@e#d z=-+gWv@4*=3M4B~t9KG#Gp~ndF5Q({QRA^6)_}XRVGKl^SZFFD;ms{JI#{2_1?+ia z@Zq8sk;%;4$6>v#FN<}@fh*rJ%{6$F)lRRyPj~Sk_YDuK+ggCJ7K1i0d=IN(-LC+C zZZeDd!_W#_M8_=GRNJxQY=75|Q z)JTCf3;1NaehWsbWo_Wb#Q@=VcNeow1!B~>b5v1Hb~Pa08w7z(=Sg1Yvat*!44er* zOn`iSv*!W~YO2wi8^=_FG0`y$+|9o2ISAo)Xo%k^BN#tm9AeBF(ua?F2?8I4^sOD> zBbRe*dUUQ-1s7zxh0ys?GhcEtTR;^Xot7f_{vaTCHz&V8bmxOZ%Nr^`yawEFPN0>U zfP>^Ow4LbN0dPP|_=b_RfMcvYNYkN*cFg`s#^!%1L2?I`|L7z#s-GFnLVuqw*0_Q+?EXb z+jwHJo#Y+#Kd>q}24U7uT%q+C-vc~1)p?+nO)DEdKWge&;Fvk(H?XUHVpHE!aFaQ8 z*_PqoD>-rYFC4(A&z3z6jiT~Au}0l1FNT9m1xS`o9={C??7abTgGgrsDq90Y*ek8m z&vs~*nc_l+F3vENRPEg8JalO|6qkjjv|!#T{%wy&V&)s`$|bt;ZVC(Zrf;tMn`|Lo zyr$Vw&t&uFqj)97UX&U(F|(Z%Pfsyfjuhj53`u z<(Es~7l9__QGLe_4zgJ1Oq_E`_Z|-N0c-mU-R(fuGw+-r^mY1pV)VW{9yc8u_@T}l z3DXuSzy~FnM=SNvFOy2Trjj8SS`~0GzUj|YEMH@P(uC6a^p>aI7>MRkRfoyyN2Zm& zHl`Q3a9%zb3iA--2d0VMbiRHzn`av6PJ3qBD;_PyV!D1)-L^F2H@@zoZi`8lOG58z z?25JSft+Wk^gcg)W8Q=#F%WQ8Tpum`$+j4pd@&wD?6&W^n|G2sQ`2)zzG(7za&M}E zZ)v`_nVcc%nWUuR{##LJ-pwqVsTqpQWDOp_*xVGD=;@OBpM0Y-`Nlqt1Dz4mrNnKp zXtw>$G)qH1Lx%E(Z0@7C9@DHLOQa`e@`=YPKaF^o8^>Z1((Y+|=0q4y2T=%A2{Fro0x+kjeb|H*^T2=9#VF-wFg%(l_Y(zUmL!bz_G) z59JB(t+>+LO;6M6S2kUO3So0(eogAr38tgTR{r@kNX_ z_l3uU@UHEzHG)_7^{z$q8&{seB?_*(2f7~ddIKTfXiK~+IGWV@2pgm7*p*-R2^gg1 z>78r+Axa$%)_`Xv-b6%5I1y3;psA_ts{*mxRXJ_Hf>Ddx-ykIXsP@n(ceF)AXb7R# znwlf62N2p8?v1k|f}x1I1t1*tz^Y$JU%?*PGXwbX|7Gr7Vq{seEunMkLsJej#vp%k z)w`M0z4842Ia0#}dVmlkMo0`i!aX89!^1tUe=<+x3?T#(>XtwZXb?hIRZ{l_73itq z>Cx&D*^f7ZAtNS8pjHcsQTL!3vDP;8UwqD|>Xy{1x_L4q%(nf__BPvlEi&nnT>79! z6Ft)7Bu(3%BZ<5h;@zo#(Wi%=k=OY`c-kCco~R1DBtoEBdy>y8Q39312SG}T-}^8~ z#vZ@b_kv&O54T^KQ-aDOvNpX4ah&%OvT!+#1*FTjq&fAGAw`&n_nPFt$GLe!hGLM~ z^@PuR-O2mZ)WQ3l!4GvUlhR4vd!cox*NmjupX=R)B*kvkoO>?zGZ#hCVp)80J-N|) zFTh@jZLy(9e11rkL)uKbr-zTuleyU*p(}pIO7;9tu2c!GB2z0&4o2g@_UOX7WMV>> z#O}@~$(XyS^NsFwZVl#*{Zvi<8v^Vb6YJibcit1#?BgAme4^hD&;j&5;l6k5kIs5E z>F;eg%gORSaPKY0l2@l{))O>q?4~=_!pY-&aug%MpI&Yi8nsj`uEoA+Dq_NNKA>Fj zAFFSuIPC5X>@j_+o1#05Ec^D@3jgCrhW6$}d+&P}qNF-PM{vLUZmk9Jm@T+A8o))plZkVHtU zYK5?te@3r4ArBqdYKMPkz2~YXU!Dc`)|vZRC%zyZ&KE~_w-?>_w)fG)N@QJcrJ^~d z6v_ZlOT43m@ZP2MX~|F4SgcBATk=ma zYL#irKjkh&7-!{AxoEPY;ZM1n5riToTK}D+PI=aE#%R^-NO)S9>~tc*2@?jEyK;YN zIjh9`rDd-Ihd&cnen$M<$M5bc4t{AR_R5Zb$&2bZ2n;AuJuMIcHR9oA9)Z~_q?M5~ZrMKLkEC#k2V-sUp>)RPv;y(ttmbNQ29;@Bd> ziB};@idF&t@mCHj?W`im4P7U6=5pJfCq!oojun(&p9EgfN=ai6yMeUbvsa-jT@c1B zPj|I6i{JZR6nTc?rztk*ftt`|O}~-8@SPBrh##(yftL#D=l?YR^4+_4Qg5p} zpK_9&RUIAh#KE?tc_7~!ZfXr0ye%$OvEpjrWo2Xp!oMoBD0!aVwRVI;p?<2aPndkE*YaE-#(IyHAW%n z6Qhi(lsM}O_GSdjL+`hID1N9mX{s`aA3YzMu`9d|)xw5K;4LO4&Ld8$YG{6f?Z6@N z$!)F*5?D)j^Aeda9y%LcV)FDrz(yyD0_`X-ppByS@l{19^-wm2ZaTtJ z!VqUlMO0#`Ys>q2Q3rbUD5%`B%yntvASC@TPplwlC-P^xA-)tYcgHF{FUXI_yz6vI z@xiAH+&oca5kZ04EFW31a}1c=@;9rau!?W=!AweQ=~p)#3emj!eD~665~?~C88G=| z19QD7VN;cPR`lcLsw{@N1nN<*s``DF-tJbN8~v20A1GWn(eS} zHDE~U3P?N|8km&M0Q4(lBn&2xE>b6j;)-K_Z~jX7AH*5ZdhA7+3|f3K z6hpdzi+$@D~7bOq*d-_ns-;v<3+89Yvr$<04J{NYirRoR^| zAg*L&%L~1*e9m)2C*lL2Be|gj@wv}-9(l4$erQ6(s^?5lzJ|A(z=DZS5mHV9?M;5S zv=BRX3C#H^A<({DzQ6~nHVG6+`VQ~~F;YDldts;^pl&wCkxIle3jBkQL(wBCZ&?e+ z3;aO6c+ufSFenzqd(dK8e4-n{ZjB$U*ctNs&lt=SJj?DIK2cPq*gM%%I+N!U&Gsy}JIhU{pVvGUcRS$( zq)z*UU2tkIS*l=cj>U$W01+xvFTixD z6X(Asv~?$c&T{KoI#YH}O4{cIL6tK>O=hB?}!3-CdZ~Sk`yPr?D{N75mz35qskGo*f0{WXOc_Vmby?G-&pz1lt_b@`%Yu z@DHdwxyyP%s|jM`pBV4n@w$+BrQCaAPss(9W=x?&tbNu!Tc;EL zQ;HWci%znggs?KmJaj0sRs*`}fPJV#M<^qOnPd0drLV6A@6jbDuD064+1$bg+94%m zxT6drHeATzi)OoLZ{RyKE6lOHyYf60sPWX?uG0OC{*du=>M@jYS6U#_@)8?lT`i@V zbbloAI{mHd&+DadF7CR5qsW^T9cpn`dZemC58|9;Y==)&7Jd+T4{h#99%iQ#zE5t;ahGzwq?XGH z+%Li#iXbXtm6vzq50mxt1)2Nojx5<$Nk_HMW;GqkmlDo$IkG4M4db8t3}yM3WqoTWW!~L7`93)?u;!j9cXj?R>2qD;U74O7!nby) zPuGVqAnP-fgxhryK2K=Vck>5U+n@60k1opn*x^{g;4rt{v-ybpp>=TYmPcaktU7wb1k+ucjoUl`j>n!@Qw&f`N zgI4oL-M$jCst_U}$MMP+$r9>&)s9`DP|S&4THiW5_2@u1H~#dWf%02(wQJtE;SUwi zDOc%=F)q){^;wAI=uL%RubAR2OAsp#p)H%~ z%WEbn#{x^;^6&e#VB4MY^q@>BbN}{hfjrV^r**oY$y+uxU{i&#FtpTVamJT380l>% zoR~zquM|LUU6QsGBQw#f`3qrW&Rz+JB58FBbr;`|`FP&UfeFm4zh;meX?=w(D$6%Y zYP=8{vxc4rp@{`!`gr2=$%|YXC>~$FK^;+LR zYrX}UWa}wXAvL}=%mbDQFTEw8ao|zY1q4z6pE%JIJ_-=xCSLa`FcV@-=fW`m@kun& zv$+eol(vdv$mJZhyfEOjYzI?)dW8_Ar5$D%9ZN@H$wCn+;UF`30f9Nbh5e0L zQly{guZaR~S-C)NnMt!JcP*KE!Q;C@CgaiGU4f&-fkRMB3{k&?Qzs%o1?C-D(#eQ6 zvR`8B#mb&97)|rGkP}I_k-v(MqZW}i=-S()+Eoc#H!owizV^@{&Vl% zWrYM>) zr@!@YmU_3U$O+yG!yoC3b5*NFp5c z9*Y?>PQMv3Aqp8u{|#R}%{8e4$Y`J{hm~Gp#VfpIC1Ff5``t*a^jYe&k;riTg8iae zv)OHNWMn;bf^&tr42c8%<3sZ(*{mT6Y47lFIks*qMA=ef;+>r_>9LWNXQ|8V%js7- z%;c4#dE=ZoQj7Y=9GLQi%&Oa;&Bi?BIp-TIp^{0gxcQ*|cpRjVJx?f@bd{95pME1g z@v%+1z9DhdwM14;tTUy}a4q{E9KRuK;aQq%71V~R1x zB=4(AK!Bw+I_316kOAiDhF(o6LF}-U(tekA{pK)^gcgo{wLQTs(Az++pVez=;FxRr z&A=f)z|yPv(hf~T)#Y8{8wG!(x^9C`AOnfn!G6fpEE-|$bq>Rg=5L_isNEXo)cLX( zIoD6F@FGlj`p?R_mL3ImjaVQZ9cxJx3xm7X2fuu){xQ5*20#fE zZ7an%pYwJcCiT_$o8cwH!7r7h(*DF(C-QhS^;}Kh_tUS2ZxirJcVMj|sn<9~NK-_Q zvZ8~96#^hVOB8$v%@Q^(ANY02QO=ar#RAYxseTM_#H^ zT)?`%F{N_DQbv&sY#k1R)XaCIeg=tCS}lnl1i5G(YH2hz7XvihBYh^+*qwNXLSF(( z7{3~RG5p99Ph>S`O^NeAkSa(wdHint&G2JO^(p;=6*2&sJgee3?A*h5)31h~&_2~1 zs+ulh%LkvnRr{*?mQ>keI=XdmvZ&1izlczcSp+Q|>WkhzRVr&pV+5plZ*Y(u)XpoA z$a*9>Gf!A+I0;)Rd6cZP&l~Dg<1O&ZGkJ4c~dhX&p z#}4peI%vnQhhL0;`RDK65s!UB3O(WQ=55dE1RI;~SFIv?p1c2Q5L!cch}OJSgW0zw zv3WBJ)fbO!`Z{5Wxr6wpI{l8Z z=IO2`pv=CWS4mtXrAn^2W?LLloX@2}%XqBNJQ*xjZ>W$Y8fzddyx)>pIUH+T9FMdH zFsj7cnpIYyeWfd$2v+q_+au#W=L}?FA42o#6!7W7+bdyYlZ$GP$CyYYODMX{X4=TL)}6- z&CnrDR+N`r61xHmYLQ-vBm}8Ju>HDf(cw*wYA!pR5sBiiqcrjpeQ?M@_e^5fl;|bd zd^+0VQO8Rv51sCe9Y(Z9v>%gZHn|9Lppv_mM{gdT7;0yqu{uq$PA^B)Q3HY;{GCeU7?80~vE>Dp@NF5;E>b}#PvL{^PGc51U`yG`1YC5pyaG$phesgZv0AoG)wGj*sK#TX)Y4`0~3LR4*%ASjV`zc?4$%Ik~Sbg1JiyC zC`Ac(mKjDQx1)G}UVzeTvWi)bcw(n``)vwkJAHloeocT$;Z{>QRBIzLUN8rtQDANp zZ1}QD@zjPfc`5L;*iWw^#S}G1JWKz7e03)#W;`}Elr087(Qq&V0@zwGdU7Jc4Iq?^ zv)Ev}5}@R#T8@vVOq9*DwiB{ysM9tS0Da|e=AH9|K zQ1vSMs72bSC44(C0WJh)x|1}YXS&e)d7lY z3tLrTTx0p5!dx0>*gMsROk@Hq`%Fqaz|U3h`RhW|MUv7D2{(uFYDXIeLhR;n} zYK6_5Xxv{U(~XsLw4A0(aZd#+>3yj{-<)0yiAl8-`dl;+>VJ7HhX+>y<+_yllwwf^ z!52z(0&{xbisM1*fAzC_K^tSp#$~LAj^QvcYloRRi#gD-1CA&00*MNp@Fd(Ijvp;S z5*816&-JPQQcQFuW|tE@bjMd*23F#_?1XhAXv67R_-xOIl&m4 z5=xXyV9y0PLCDdOeoZDpGZD4~v_!f|PD~!8MO7S|!~z3AoEAXPVYz~vVn|eMO-xoO z-mLO+28YRssQ<1Xqd-lz3n7WmZ6;8#hhuk4^VOHWbnG$G z##4j56cYsj4-`)`a}Hw2$C4I|iVM_KQDRihuKU;b5?IZiuc;9khCNE)#rQhqlbO8# zE~1${4i_nWxMCOts>FGLhm#}@6sG4=+#ePeR#?1388HxWaHJ7ztXFD=c#_UWL$LQJF z53w%eRf1|@7!m_(4V6t{rPo$quUshvI&I{vup_eaAq*#&jO1zZu@eVY;;uYWVXSC? z1}ob$>aX|3ZYO~J4uo1su<~(YOJS&IXdB10r?-~JoC)`HD@277%MDkaW2}pM{q|eP zN6SKf?~^rSg%iI&fyv7Byj$2Xql%*_=oo5`* z27NnvazKd63&ZVR&R7|!$(Zw4bep}oCZ_e>Own-9GGv0ubUd4N3X@=C_8m0ieP?Z7 zZl=}OrtA8J*AL?c&@gv)TRh>}xsnt!Z+*XF;bqRU$4Qa#E*@QQ&T-mPO;N=JgKa*x zBHcfkM9?p|sO3hLM%LgiAf<~M|8g^XQwyuhq3PS4HwRr$2=BMQhiwxEe6!X0{L6fW zfU|6PX?B>-z7arMwd^XFdM6v{D0C&an`J4%G$Z8dkGOn9>Zf-{iaw{8R)!u?g?PjL z)HoSvM?v|^&Nm0@D!rl$-4Pg`zE0`{{I1XGKf?`==*zk+cevkMmbE#gmt`TnT)mDh zVJM=CQ^#x*upHJ$u^5l@zY$L+fMx=(K9%7js}fKCmQa$OK4Ug7xjvOm{lP2+kHBd*P(@y3 z9SMz-(FTo)yOg}=`N0c2L+}?{#Y(y%qeg9!E`;fMeHT}1Q-e_u!^pF^uEL2`t2`cga?Kg)5q*piF8!-!Z{u8vxr*!ij@AJf_uk!wx z)Br4jsQBqTtrHn?N4L+5Y|BR>zPfi(mwuPm-6Cx)WL*`R8yoQnz0u52$WUeE9LIpz z>XqfD@(Q!%!SE{YnZhZ8`lFO;s+f(H-P2)eYxz6_=tF{Yk2Bzykq=$66o3n>b#vx8#XJX zUmss!k4&i(^m$X&eDy<`d+qZ=*lZ+D_+YulDbJePgeh9Q-k1X3ylsiPr%iF-6jvhz zZJVy(t-e{XB7?dVsS1zjD^4E8M$ZS0Lb%kb?3j0A1KJm5GiPXr|>xy@^849^5l$rhHPr} z_#hWv43rb~o+re<-W)VNVKXo6TLYHHSk62|T@YWUvO+=&6b-g2#sXtp^(oZu=`fJf zKc&4X-kZd~)Fm$l$l3w}>_E}3!a^D>4bux*lj)j9GU}U>{Ymmnaaot?D>){7 z#i@B+=qxREbyi&b_CH>LI>su~9+$bs@9O1&=6#}lc7?uDx}=%K=P zd(5-6WZ;99XB^UF-Cpu0m=ArMK2A@bunG9^1=GfG3Gzl4hYm~kk^p(k=c<=akJqP+ zKKBey6Iv^t%iFmWvI1dCTotu$c*C{zM@pMsw&GbnoKFS%OuYMEEdeng#M6i`Wj^4u z$JslbJ7(s+h)@n=0bj8$jFq)j6B#9-8YzycY$COc;$AjSJ*s-)n2mgt`hCPy&tzwu zAe|{T6B#N`@?s+F!t|!b&X<`v4^8|_g$E;9?#ykO@-(1MM6fTML#KU{pIaE7IJlh* zX8hjtJo9M!NsD15)9dFW~U^GDU?nb<-$Wh5%dvE$7lG{EXMYzZ6HHIa1rf(+wVC10=%PS+X zq!We6=c3lWu1skDRZHcfoAjQ$$ANd6&{9u(9Gz&4u$hK@*^QCexybxopJqxE73cdA zxPVSQ%7-4)rOL5hL+D*mg3f@5AchDB^^V2ggl@kKzN5k_6q58Tp?=}SHu@!+Wk^tF z(U#)+&8Z~RTIfuSXb`IOtfTKReXP<8D!)R}Qh`+ZVN`WLv!P$;(yLcIU04-5!ikMX z8t58M>}AFeKhc&qrbf~ASuWgM>Nm12(N$9HaG7hFk*?2K-75IRls5!E@q+Qs3#+=a z1xCt94|{GTI+Yu(BElmls{p2$A4sYsGS=95_hX`DWmj^0K;l+^Wh-2+b>9{=p>!%J z)e)ho0~Y9o$xtBFfO<^htz6#Pdh_CtW>cTKsp`opVWMQ^LXbNO%H*Xw9a7n>lp91V z`-LadkSfo%{aA6SlH*4!hkY=nfu3K~1SOj)57l0!M45p-bOSWO<1!)dO$hfCNN0p& z%43cNJCoClA!t(FSX{Vr$fD@7UM>tAou*Bv zvb>1>g%Xj(!5@+&HrnDP9fvStXF0s=qL{I$4ys%~lM@o9+7UtV*zcIk>%5&LIUF2U zjq)hzKOX@U1&L&MF|@q*!MB@2QDGt#W6`1k zkR;vhtkZZ?%eP%Zb0I$hZ9h1m%LnrCHvzqmcb5kV~7F?_Z z?NWYBcU8~TkEC?DMM5KyB%ZB3TgzfC06= zo(V0)lyaNVDuP#-6R->Eq|d|&4=@s@&}*YHiT)u;OFNQE zJJR94AL?$x0z>&(H?mV2yPs*DOEKr2>Qi4Tt&8*w=ELErefvn$UJ-i6_!b%nHyb+b z>d>G#a_z{rIsS}au!o_7v0{I_pBgJcu1^V%-B<(LqE3y zKek=whk!(uaY&t}$4q+aF>O#R(N2-TmfTpoF(xZf1K)mtaaCgn58{9=#Oy@^4{IFL zbYDQ>+|`(fo=vn=Y|Jsc+*vu8q3Gn|n6f_{*2@nVI2W!0o^ad)HckI(g-I+~BRA${ zd$3A4ZJ*FAXvJ0-_|mblP0y2<^(J{b1X50?{TxQ`P5KZz8!`X z9waeN{V-wz--7w~Oc*KH#z^5ie3J}OJ1lUQ1q6g)N>8x9eH<|?Ao60gE8viQJ7|A0 zx`V%lbbpkPJ4rw&9W0N)#V|SSX8Ki%>ya&<#iPO;bP7* zb8MZ7u*{}F(eoXd0-i7T@1ewUq)+K=C*xWV13_=*e&*YpV^Am353v8a4rL^gz(a3% zF-m|rPpZcf3)no>IA`B}i@}U+PQ?(yV($Er;j+*9s8O(2+{BGo(;*R>#Da&j&TxH;uA9UN9PIlZWN#%Jbryc zkg3vrU+~=Xl7P){0w%3Oh(qz9UfKpu~K9iB%v=+#0~>1E{4Hu`^NGk)k$7R zw^Gddzx;{bY6jN>SmET>Y>CGPm6|adqSjM?r~Q{v{YRJO6;5>8JGlyHq=AmP2}`U! z!Q>_7CLjA~w!@0FTyd+RJx9}66ntfTV1qY9y2fBDu9z?qAX;oRZQ34E0sB##9rjk+ zB=0Dqx#zMI&E1S&k4+6E}L#QF)_Rv#%HvG3)9pA4(KDq>N(h zU+A3gIQ6?)$h}=?>kE^Wft|~@GX6B>0&Ao zch3yP(8)tPyiwg$dXDEgCcg1!|LnVW0?E#0v(uhnDJl3gKbb{cuF6^k+|GHdAfkE6 z(oz*{EyXUyD_9F=fq5$djaj*pQ5d`mnEF8@@Yft*lR>tR8e@R?jubWhRn?r_n0ULs zl0@h(`X5TNbKOJ3gknQZGln#L4SQMErkRSmiqEAIf~-I^+NNs%$VyK&R{HtW(I}>z z#Rn*nWFjX4^P+f?L@gcUiXKN7vq&M!rqkA1S`gB}|M4Z7!51A3C=yxVO)zSL6l z5qM9@gch6WE+r_uDP(iv97hp}wQQYS!P1>->|Oh(uvK5bprvfK>Q;0y)ysAkB;XA}jEmE82H1fTP1v$JYq6i9}8kI62zCBQPf-Bdt$N|S!{YT7eezh+12 zm1ZWSB@(`8iTsw!7-EmhqS>QHjf#|Yg{Xmo+HRv6@r(c?sTPD}CKSG~MU ziSBk87Q`+68&f&jNw`1OHxcS3%NEr$73`6$A;RAg7hQ6Dj80crB1Br;Vm(l!XW6O7 z3svR9j*)!?r)qjSF%pi`f!;MZxeuJhMSwa zs-Bz`d=?R+lf4kTmoScbQ15uZ%vYW*@BArhqhU|;=c1I#gxU|AQ-wkL7{XK^46sT2 zCRgX5(uc5JVVNrcbXfHagE89;O-D>BmFtC0`lTF2JcNlbRX3`l^na#?+E)WCQ<=V~ z^?}Wd$mse|W~3+gAt^b5p`11%4F-;Cx6IX&)ZF()G=roy*y^w91p#$ zVT_>jFv^T?^HnQIHqDM65^c{g2`G@&BnjsnA3F0AXWNy8YD?W?OV^tU3Hc^Qr|%mw zk)X51Sr) z&W8_$m0Z+VYQa&-avd(In!c%7g8F2X3FFm#FvmYf7?v@!`DpnU1>}rZhV6vbkU)%< zU6#K6UAb+B#^1bsZw;T1f>ngg4*LtO`3r$4l;L-Lj?Rk)L(NEA{N3~A+0viguA}ab! zx~;3W#$H}E1s#SiWlyteUPzmFZ-19DXnL+{fOZC@4c{#Gg&JGU5hmnCcm7*Ho%t*i z$pPOU{d-3W5+n(1^gcJXE4gyXPXEe5aknWt6!~k7Xx- z@*G5g71G0*;D>1;s49~qwd)g49_?~N)IA7M-GGotPHFZH;65PGC;#7hik`) z1A1^_lpTw(sVLe*6<{-=^Jjk7;z1xm&QXLuOL&RqBBQ=PCTOM!v%V2RWbKUYN({ei zhji&z7eqsCXa3lp$Ix~UUE~u2lFg51&Hv@kHGBMk+)WFcE>>slm?h62JzrRkyiDV} zk@>(N04TJy-%aHb#d`*lETl&+|F#?dKub&5;57Q|1V(hF5Zug7-|fXAklqroG{`bx z5$fNB)squhRGeqihCG60T0Rx(U5L@Xb+a{<3l5d=(I5DUC_; zt;*H>Uy2I-pQ`Fa)@Hp?P8MaZ(H~*4lu&68(Dn;#@l~$iwiugCP_B;P{@NJ{Mu>7H z-3b6mK(@c47Tuf`ONTtqp{|)wYz&AcbCHy=BfrCzzTSrTT;Hur#*@E-S=M*bu-~CJ zEj<&D#SHiB+P1gH8@&{x_27V!IBIrtFL~$nYHa`W|+Kx%F+H= zu(YQN)IS6>;AVbyn4m-oBG^oT!@Qmf@4r`p04ET%A%@blV+gmZdOTKL6`c?r06HEy zVwv#-^^X@OyxM4V=|z((JcmSq7C^!X)^IJMg^G|L3Qnhh z(!ngJinHvr=w`{NtOQF5oy?-rs%USVWmj1V!$;ra{beY=zpQw8E4KpJtG_^m!+4X|NEFgga`eX4BgPsS+w>0q>*zzSEM74s{iIPi{|id1CT zs|Y_`L#SKE5G*n;c`NcN*~YuS^6p*BJw-*EJmk>+9+jUGU5vZEMnI6S**vp7Wfq;8 z&REwl(Hf&|>A6GFaN_%6>of89DzMGN(b|}4r~UXOs3R0l35> z1K)b)(RZr%PpL`Qp_MD5o=hs-bPb8$J24stRi82BTGIG61fgN^duZv$w?8`^ic{Xa z{f3gf6-E`3jyMb6{;b;9<giB{oE*zi4Mv84AedWK(^A^vgd7)I34A-}%#e~O);m|j{FiKWQcqzoE5Skas zD)ep(p@+`I@npn2f2tR{+gGk#M6(4Hk&TDkF;m~>R zPEWZq-Lb2-eRIeK${ z#d!}S5i|S%-9}u9WB10~v?J+iPtDw0qBz&ylYX}E(c5po!9>Si?%miEBK9`@qHcE5 zUw(x%a9^B8)EdSKsTUS(H;lQ+7Wg$rR+ro2sj|i(+%`9}rmlBceSq2VL~xpkGa(6x zo?{Zx62EgJn|~SF#%rE4NbbwTO-TI=F@a1CLZ5_=ajLuLf{*%&j{f)fQ;V_`geAk` zil@A)6<#V4`g4XLJJAA*hXD)j3{574`ZCAC2?OdW?7)wUb;B9Z4TbsxJP!^oCDvc` zLuh>elXvgLqB*Nj0D0Av;p1nt3p+t9VklDE(*baFepM8u0@#PzPhapEhGaasc8_hp z!0`?e99~=c zVMO}Ch?lL2t@6>mVp-DgDg9Wz06(K3L{<+{LW3+7!j?1Z0{xj4hJhF1r;C*vVegKd zz^FG^QM0CmG2y@I#RnbScO%rqCqzpa`Mh~F=uSVE&kXuAdMLWQ?W8vV>Wy(H%4P8Sx!DsA_1tk?}9ikj7x%YWf6Ag>vcK&vloZCx$pzqMa+EU7=ApGd_m1 zPr)%*g5W6#7tSvQU5!50#X%=J((){FDEnl}Ae={}Q+dk99cjBQQsGcL@>YRPLUvGI zUC5;&s|-OQMA6`Ib(#RW4<=+a-5pjr8C+qHz?{*ELJ?Fjpj;Oy;O&Av8qp;BrM1TH zS0Bypr8fR2tl}w{b^Oh|3~L>K)8Fh=$i=3qUou4oJ)z3Df+`bxk7MXR&#=gR2%{@d zAV0yXYtyc$PYQN~c)rUdt|0)@65csOZn~ru*XTaz+D7hQ1vSZ`$9YRn3(8F{{$q+6J~=p zil6nY*6vk*40ueQKp?S_S9njZVl$6NaPxZ2>nIt-z$LEPFov#oA^zX~>6alopx*M{ z!@ve8{6pNn7h3LnpL#rWYS$?HVpj;NK~0*Kd9q)bObBHOyJ=N#8$}mzq^tiiZRM>G z{XSwDgxIU(9iJXDDS;k&zkD-k!uKbEVD6ft>WW>ZoZT1^x=0ucQmZ*ZUJbRIl0=4z zLv00CViMvZg{M&y&`ieFF!sHeK^QF3c!mI@zbH7(QH+ZuzD|Nuf|%gj=Iw7|Q`o;8 z>4aJmW64IUaD-^kXuqeTq@x-~i;N0;A`Fx{{W;{yvY_`r@Km;+2D)o*aH(vfNy-PKpX>u zAVa;RZ=1R(-@YgNQ1$xueVM<`QuBtEN+-@BPvI=A^L>+!y_zhr2|5W-QUIZ|%KL;u z>Na~q5$tmMw6rA9q8nga95?JoEpPhG8tduW1{T)7Z_wpCC}&tUMVGdgy+n3!664?b z#Y9ZhieF@b8KtAaXX=_O=Jge)Tay*@|wDWBZaim%Z4zt31CJLX%q@4F6Peq%yZVI%NuD~=*7 zu~mRq5M#GYmm(6+3q3(nWxxsbBgc*T+P*>t*sV~d_<|opnTbM(N*trz=QVp0YK+U+ zcxB;90^i42X+QpLY9kt0aYE!AVW)hXt#X#b%P}GVoS_7 ztj<*sqg?0&3E{`&zRkzxlI?q(#9Szm9R_Tv7kMEs{XEZ27&u0_Fy6lqRLr#!A5|yq zoQ-+Y_FU#j>j!q2pjYA;T5=4vOFRY$F-Ai@u!y>vxC|4EsCV)aoa&D2xPI*MVcm`u zGK~`?)B?j5#KELSefc*J*Z`kIfnywqnOW`9>WQ}iz74H6MAM0OhJFh?xk;jX01?9o z>54QKQF6jKGDrl(av9(i(+$E6qQsZJAV?poOmBohAlhtCl^eTOgscb59*&Xg#R-A^ zP<5Z3;b4vg?5JoJ5yy~-Z3#MvF>e?F=E^RWL?*>*C4iN}h>3@*;jvq^CI%c=bYGSvA ztH{@b%xS_AjbXjir?ixjV*h&VEG!C#v&@bnmpl$dHV`FncVwU;> zk%wu9xkQ^bVLI1yjOUb-tt@0kdW=!@Au^(}Z%eEjW5Hv|jR7Zro7~b6e;9Q{$w&IY zN&oo{|4%4pOdQ@oU}Fh=BKP5lLN~BzsJsalyns14QDCg|UC-L1e3+C8%XeLvhjNV> zay6pS+$a+EA2$>kL|@!QT;s4$ce2bJR9WJ|q9DM=721raWYKJSvVt7iaB;$^LvYB% zSTk$MigOe4IG|W-95J*y6yF_t70TX(>B}(37~LHa{m>5$Mj@x%L$OstE+n9mQ5Zxt zzI`bbKO?mjq5n7@SW=j9;=hj~0y@NmHsL(+jU5w#0P9PN^;pGF3Y3{{^H@LZ3)NFG z8|TqOCnBt9>~ovOCT7b{h&3K#_9j^00eU+OT<*QaVK0jlY9#|c-N^INANV5_M;h)z zya-iWFSjvL#z&!RR07~aN1hPtm^b=f2n(Jqz_zb8PmhNOJ4l8H_4Q?%hlZg3T7G0F zaX_~pED?e=VudAKfl{nT2v_tk{-Yp*)?*es7@zt{M#uFqtpb@Y9ycXBh;4#f+AA~< zmBywo%Ti)pxet5By8l2IPM^`eE`v;6VlbjBTvb&ytMzum=>kh0Ba98OIQ9%~i+ypc zio778P3@3q5kHujLJp#I!xwpQQ*o^=FJ+))HkMLaTZZe#b5l*x8Iu2Y4!L2%Yz8AwE*96qlExi z20az5F3lL;hUE;AT1@d=6Cm>K`@i^`RwU@KN{DB;v6-HlqEw(e0>;0nKu(Wm`jKz; zFTAypTsk*wazfxlkN7*1wmtA4?~#~Syzv#8DRiX16@n=BvMq8on&u8RAvFGP88=9y zaj2a9OKdAm|4G)`!Pk)dfP3N*ilF1$_a7JxF{${2413Yt7`W-0R>^zayyhF>b(A+J zJ$g+~=L2Y!S#7ym#JtZia^oD3*z}uoK(V*9HBJ#r_f;_T72$?LcCxDU z!=huAY$7nW=JD;%xx?ttsdXWwrzHQpA@`J~*cSCXP|z=PsWGMQ1(NyO@GX6s9 zTF`;)bP`tSV=)X^Yblqzo8wgSuIxnE?mHt!A~Qt@jcN6IHD8ryWhTr#zss$$0!N%( z8c+9t&<+F#-*;wLu`up<3+dYaqjlWu2trS$3H`tq#p5;Z)h*%@V4qmxOubGoA(X zli=LXwJ3I+3g7NE~w zF^x71NR^C?V9j5!M>Pi(gQ#fu_%{WS@=?}*glm3Y*@b$Zf9%|*YiX{0|Edy^MBbBC^Dw=log8OYX^S4Ds64P_RG1`|e%kHNnvov0s_GK!u-m`=&@~d_Bq1c0{G?W($h_nY zcb{ijYVH_8+bsVWvJ>vLv6{$nIlxX2rm<|-XJqb@0mn;rBUStVBkQV%r zae3!MW)ODaYmJlH$ZcoIvws7{tR!~%x!MXe<|aKVK1*|&-J00;s`8Qh zyOuJW1$1bKB9dnc)Ri#6BPJG=*$oTw6j}pcIxxr07eWK*zj)cLX`_kdjRkT3oT>+( zDY4!6LSFtkogOJ7=61lSIMxubXBaB+9f;E{?+sYad`uc7LdVv0+BYj2e~!?7dZx;s zcb{zfKl-uGuN&kzx9Bx44<3itTfyL`63!mtVnyu{E#4ztPrc2}P90ucFGS4G2A+o4 z;NxhqzmJSLN^2e~lf+KEkTjfM6K~1&p*nI3U7TXD)}y(w%d;nx$JM}_9f`5@Qm`P; zaRd%*CTGcZlPDgR;fPH50vh71763!;5&9(bE;{L7`l)gUpi1GOS>x}>n;%bQO&4PZ z*|*%<#5+ZQOe9u$|9DhREw?_lqZ=PfBzV2u78^kyREx6{z=M)!VGezetgq_t4dIcX z6ca~FfUeq{m^#=j@{HTBz!bWgwanyuKW8W-hKNx8vd4i;er!2Bn!KZ`47D!HE%t;x z{PaC?z4OYpIU6|Nt#sEE{SjOHMt)^9SKpGS61u4$3nCS7+$)@q>6p>CB6?}a9;Y;5 z-8P!>8*MZB0_$cg87zEk2PtBu9n{Df<&G{gaUz#5L>%CY6r;ojF%EC&2yw@obQCL6#9!SJ+qt7&g61?iaRRZCjU(!KwkyuB*iZu2X%G`x2{yU(MS|8C1}xIC4f$g$wzgP*ovy_=u4dU~maduOxWr7f>D(SV0>Q0v3*4e?!TCl8 z;ndXFAzN*v3{%8W_-e%cQX?_;r6WY4TAaDAslyY@VH^jIT|9k|IJR6ui)&;w_2<8i z6`}x_vI1H^t!q>U+4A8R1uxBjJ*gsIGYI(oZ|wd?`Jke{dGZDs6nWyyJ z5i9sso7BIoh;Rp9{xDLtiwW|FTvnB2%Pxsp+7pflm8#Q&>FMftA{bjah3;w$eq(0! z&f538+N33Ewo3$dwHO5vGLnk8=70}(w-3o@M&Q1&4`b`b4+DxCficW2f2!cfU7Z(} zAgU`|^?9FQBIE3@Qc~UV?MtmK)jbj$h3yY@SKwU#@IU?2|Lf2H`v3i#|N0;NXMg+A z>f~_V9H7c?4%Sn9(iK&?Wr0hijuZ)n?1he}>hMzy6xWf(3}H-&D*eLnZKQ7X2lcnYyMB&>M^{MR$w= z^K6`w7ICBnGvGWp2eSEkKZeZdLmt=#Gjd;L#xPbvw&iKRbSxAcTQP4sLSwb`!W>%d zC}?iug}_Ei5uFN~J{)>_%L`3%bS1WyFfaAL`)UkW8tf#wQGIA1%@<6B!Ff?40Jl&K z+r6O}a;v@a2TD};zLiddOPYLZzB38MR-CVso3gVAJYfBj)IQ6Y7L*BNcoZ=Wo!_x zxZ|mRl`f>lLcb>0>io#iR*1O8UMCJ@<{&ZbB;;(h+!-=mFYCwI$wm__g;nDq>rGyCKdt zF#t@4oZ%d+cQ`I;O7y=LU;UiIPy_irwg+j$PAL{N=fLkyFs(Ovn%zW@+kaf^5GN{r}#~r!Ob4Xaej=zC2JRMilDu$mYPH>s`(ptx}PlyqKC^#kpCs=PpZjoU0@OjbU|5 zHkMCK$&YmTkuIMuw6JxL0(bLb3I$jks$vJ8hNql>l#By-aL~%(CjGd{&Q!K;l^-Hm zv#A+^P^G35d31M=b=k2lJAz_R=T-3m%9dk0LKy1mq6KjLC{*6xm`{x=Im^Ypa9yTF zBONXQrHbT1+RXU%qQS;8Yqsy|qCMM)5?yp+X$}Asog^~K(apZ*P4uF#?Tb?5o5L*S zIR;NxDNk@{dAB8F%lE}NP~|Oz$Jd2j)Q5NA`Kc|&@)9S2S(xbZoS{5A*;lYeiHd_F zJ=xA2J)ac)`?|*J=kP(MLbZodc~oUAni$<`VqmKxt6ym13q>-y6W#|2MzPYKw-r9p-Vx%wW z35VA$`RW^;+7;n1DHcjU?68(h22UkFrR7nSxJrZcs(kb?b9msF2mB9}_kK@AgOsx!7@`R-aeM($a+Ibbw-u3X?CV1f^QG%QzYWkEoXFsv1drVGc)C$@{jHe2Oft<>$M?p( z8n5bJ_OZ`g7~@1?7f;pVP)O2Gv@f!FxmT3Js&Lgb^~E?-Jujq9NSY#caKn2A5i(Wj zPBCJvy(gQgOt_G4mg|2Z~fSG2`3g`0n9Qo)V&BfDE%DEQL z1^4x>StBd)?)-JaIJ_1nYxSnIJF9pU=Q`fCxGx+8dY{DxH)4tC`|Oz<(XZ7If>e_b zW9d4ldiMEy97Z427i&M`?dTWm10EJ%Q@7>$*22GAoR>t*)qZIYg;s!5s1fd&a@f4S zq_)sVh#=gw$Tz~PUkl&_kPsfd-Yu6Ip=RUkyR{_7?dN*hI^;T#%<^*jb^AL_ev(rK z6ry4uGqZ}iFGU2e8P0s}`@@aGR09sWFH;2p?s&du4k<4NOSR&`_*yLmF{Z)SUH zU>n`xa5U+VL-#@S=SPnb7J->Bu?zW^tQbPbMaIis`k~r=L04c7#kR^R4$VSOlneP7 zrxML*>s$O!t%hhI!3v~@exKPi#mVG7KUrJ_-)sY(I z;cRaEt`{ZK@j^4!Qui4J5Jdij#Syi1YCn!KPE@%A?vVbY=1ZXu0i zkHawO*1N1K2J1%a!_N_m^{HgKkl9hDubS_puFh3my}1i+Y-PRqU0?HRh@kBvQG*sY z>oc^XV63i)wpYC5k->7Ws_O&`(aX8|$G&-P)J*lJK8RI)Z8b@&_0?c4B+ggWK0U5$ z>C<4=r+YP4BG0oVfa+3WI65=m5||U}Y+Oj+jk76{p})~)=Z-kJ3xU0zA6dz0>PK%e z?6+k4pB9PZeUj+!#~I2=pWBQ@x}Nm{rEo2jvGn4>6eTccXWi(n#Mj-Yz#DTuxg(I6 z>XvTmcS??<=FIi*2A`I}8hw0<_=~+aTJF8jT{3-?H{_ey^5tmkIft^@XLlQo*^R>t0O~Z&(*-V_NRrS zp5D|6GD_jf9~RB^rr|F|miY&bbLXDx4KbU$1MF)v7+StpV>X;UE9aBD@I9gKv|aAi zfhLR5yLnn%?!(b?51P%Y_`BK2+c##F6OW5R`XWu&;<8eVo7n@_#6vVdN^e0#c z<46bN9OsYRyS3rkcVy0nqqE%i_PF2N7!B{^GF&x{A;jTk6W<)tfB&m@?*=dFvLGHz zZb_(iv6bNSCWmoXZO+z-BvF=n|7`M2m3Kx;Y^Tk7`+@$WjD%*u(#pf{uy%YLK*a6r zI%_R_f@jjwpWc30KbzWT~+u$B1N30N!4#%;@kF6=IO4_A1%VR?oRj)KMkUV2-z`ggeRi$^PE;7 zLRo*Hhm%?FOY@PW$pO8R66=YMq@1Z`S$b=Fhvl zI?Gd5+f~JZP1~58_COccc2mC~6Krr65?C&2RlS5KPDRJUUTh|-J&~e7xR&$nR0;tl z2}|ZEH;Ul}>QtVO3aPU>GQgu++yf$a-|mGOs?suqW0M%nMP`yLx>fk~A88+R(H4ik zu;v9BK{Sx*P;`o!nvc^vm7$(8(DIKsZo-P!y|%@XP7P3ZYnWh9=?mr%_MiH)AV#Dn z)(6y2UN)YJjYZs{HZN1Uchu#Xq_&JLAiEcgK8)fxbd>P_{Zu=W%gfh>aVpB9YxVLM z1c+0u|Aa{KFCsK#RlkyB0d=B-7*Vt3#k2leh@eVF5`EB*P?(2Sc|2jK@PxpDR3QWb zwr_}0osGU*GlE0#M0w-gY?a^YuHNftA-*3UmcUlm!If6%eu#e;3BC|e3?hehLzDNf^p~>8u~Ct~Q5WPY z*zgU>xH8^xUCX>k@Wh}v^EodLJa?*lCA3|>HObJ8(+a2S?^}vIogRgJaV$ZFYi2!$ z0Vg%7qSY5ahVZe2f&pFoxz0BS2Ce)U;)n1-!Yg$}{w!>m*mL(df9vP$(`B^X+YhHb z5B{{@LCw5ThT6D^h@UnF9YP4|w8a@-_7;(b$m&zo8(|+TF6A#$-w-~9K4F@#%esQL zA@s_^H*L0W-}46c^+rL9cFx2c=&rXYY3DYg5HsE+Pb$&YahI+VC zKmRb(>RZ$6)R3EX1^ zi50=5QDH0mHna$)CAnfNbgYm-XZ)7+N_>=Kk+aPvG>!#Xv1@23JYq3H9NOargg}$x zLzWw}S}+5N(nRDU0tiVBVu#;~yFo0ZWPunJ5rNJL(8O<*Z=_JWvl#*J1F_NA#$Wp@ z`bBn$MMKxl*1C2!ouN@%7&!)@S%F;B9XGrBMLhomriJ*aE}@)wvlh+rxmHHlW|$M_ z*77AQuZ&(=tOd#IJ`xp(bZ60JUT>b)lN&Uu^qBGr0VRASjh^r5tnn>pr z{vZyGtZs-7Q~8ovzF=&oxW8JwUZLA4#{#)r$MqNsaFHuqbdJQwV}3ux;;s28AcBd? z7TL3G(U>igTSdmx*XDz~KT9Mcp$C%7T*_d&!}uO3g(Gq4bmxXD-B*H{rJaFqiO> zmg2h^>Sp_)6Y0$EJhL}u78g=W+d+h})j0$5^+oPgPJhg)=5EJ}=vEIatKbH480ehd zJZET~q4MMso+pE;XHlT~*$V@IDAAwii>7=sAz*&Pdge@WRZidYy&-2X&l!(7r9Z5f zMku4DL@YB8`+`I6rptVC0vGgXRG>x6l@f8KL;@7Xzry(fwWpi{2BjV)S_Q}y@NSit zSdo8~(U~&psWkSD%z8}UMCV)V2<~N7PsQ7xk~~&nK1p7WJ82YL<@LtyS*)}~4`kqR z|5W+r+X1%8A)i`m^KSK-kC=N=c$F_0^Tm>HoI2ufkG(4h952*4=Uajsj+5?Gw;eaz z%zPjw#Un#k$%W9Dq%-HG;FK%+rzf?s$T~DeytC&c?K}$VsIB@Swr^+CbFxVlOoYrW z$>~Svz33`uyvXTVn3DCmCL)TSAvi9vBSi64&SbIJ{pC7{B_pBQB;$N@;-(%ac^$2PlB~`B_TXt-LD~e9FbE$)5LX$5v1ZtQXiG zp?d1^vAWd5jp5$OLihs7B8$&_XlraM*p76z*lLL=Pz#w|wn@9o9Hb_&4lvOUb>Hy; z64pO4rH`!)k-UA#MckB6ZJ)k77UGa(E#E2<$#%m?b-LDHWblHqF*KRQI@vibnt)S?1reLvIeT5w4Cei&ITKWa-ke^9BS#paI zM*6WdrNB5Y=I5!&kG!Xr!tV9lqM8zD9}UG}zO|){=u1sg6exHk~4^Sm@Itqi>b}kZmzQjITc) zF{l|O%g+@mGNXAJVe82MFbOQrIPKEqmo8mB9crX5AvYD7gD|TR%u=G_sCpaUeD&@f z>0_SFZHIqaP9g>(mFq_Z?M||F?9RtW;_bM>!1?{q<^;8CZ>93>&q)>Bki{1z73*d` zY`aIQ=8U)}o0%|&1^A7COmY(1h9Eb{*K}?nfRlhhDMvv=VF>WsSU8+W2SidiqDb57 zbqZ@BSt))oLW0obk({3JAzS{6{B=~`<>5Ypo$ezf|KA3#MOShXrRQP40#2C0EDxO49 zO0~yud_L41r_9CMcij%oZ3Hnr6GEv`qA-#}n zsJQevhKU@IzS85Peni4om>hC_urKuOf;@`qI9yjn=*BBQ#)cJgkFX8w=+^%2*ECiL z&eP!ddxnN2_k<@REap0&=dE1EZF?38Qw*Ot96~dh6(2rQXJo`8aM8I8=CnN5zyib$ z#}@!((_jsennznGh2wm)<=E#zN3liJa`F0(0rIHQi>5I8X}qX%YD@^GGRRCiA8;4@cb z2<$u$<3q{-!dPx#1 zkC-)e%?bx-v!>tsE`3S`SMpEHHE-NVB=9RU(M5Co9iNxDF41ooR(w(rU(4adOq-g? z<=}X{mJI^yP`CYoY!+SH6TZ6bPv~D9{7qqAOrwBKT10ImawpGJo;19CrRt)BSO=Ge z+bxH7I1`Yl{3N!6YTjqWNo6qj-68gt<;OZdVXx(io;a%=@nVJVL9)0sC#$Sf{jM_n z7e6OX(`F<_)rc5Hv+0XYA#dRb+cTa^2auA+3Tbmof8O#Y5-HCZ>{Nx}OsJoyJkO}< zjchVAww=&GJ9$^Zr*S%VnWv`sK+m;fkrK65(H`z3j)Czx?eyI!1g6o)rFgoMyYBS+ zh#4zWe_YC@7IKhHU8Vz0D9MYY4$RRat@OV;>pcD8Mdxu?*mna5o*_UrX;%vDB6iVM z7DC3!T8Xz}pemUP3h9(~3???_LE}8x+A06kXe*pmO?e7ot=y@c4uAK>yD!INC9BSf zq-=B+w)}vnZ%-r$j$?_Xgh>KzFP$~-Y&v(cv)7LTo`B(F1T4D$z6|5p^{s*??sUhAy+*mBbaO)ta)dLoKW(v2QkM zz<>e!Nz@EUzaZ&meoH^r3~Gu{3FRp-Qs6XzCjPQ(|3BnoH(HCZ)+ zzs9-?NwkB(N{T!jq_yD20^H~DrmePgK8wE*wk1S*)(w)Rappfs?ZaR`8N0I5AJy+S zSX=BKi(EEXo}*zL^?SkioAv6(AWD`%+YpPXNAVmJ^Cr_3PZ_NIOi9o**yJWqHb@vZ zDnkYwl=uWI9*|cSWVJJ$b}G+GJg;~VRNw?{`ZC}5@CAgnuxN&{9|Sorr0cqlFTp^-7tye@#`W_rVNS3@_Ez-xwcaK(>||7dD!^tT)8USkYvzm%t& zXxLxbp$Uc~&9V*9h=|W3<1tpyLN4rEGN0v`6ARaJ3@215?{J6$BvvWXUe;Zcvh^Ow z&Cf-}pa)R5t=&><;?}kUdM|74;YFPZ7X0<*eAe6DE6piBrxp8~EnqG+0-oVq^m4&j zH37m7)!+`^ZZ+JQ)^)W9=QWH`It!a@pYPKL+AY$TxQR8>jtroxUgVski6&FEqE8!) zHGPpSIRZadcu7m(n(%GY!uqS9`$wjK4~5^pk4?BA@BixO|4T$$`J9xUey|a*FA!Z3U$fD!lheFatedu>U+hl?$M4Hlj#+nHR_bxLU(4SD#bbV=E zNsnX|AoUV|#+~;=u&A0~X}Cmj!xSSDB(dlY}{2@!k$$DTc--Q+!M4E0C4>EeuQZ`@1b$F4Dtc_z2n@Mog=q9HR+S+>J;lb2d- zGA3(f$V+9d&QKc|!<_aVoFC^FShj%sgVzfg3+o(ceMJuRnw)bO0=8`EJo;AKC*5ni1mM!wS-NIWyd-NU( zL@TT~X-7sTEr{|L>x%Kk91j^?Xs7D)@%lYMhfJ-aTke4EOLSptZs4SE(fA-NwzXltFoLL46=BAmCg#ZHY%`C+vB1UFCm3Vs=9G$qIg(E90BWj2Jq;XY;J7=p;4DI#};5{G0 z!xbVVz_Fb3DLRpXkBGi#pq2Er;C4V=%}by@UQR^i4_T0sSo7$PmQR2^BCv)$&_XmZ z5+1Tez9E}+aWTZR)p9Wv17v4Qdb0YekBoj?8~HruG~7UDHaEb!BF>2^I$X#s-(aF6 zGvP1^{d?LU;*n)C(BmuNu3VGEw(G8#&7%2S^pVMjhIU8?I%18zLl}X*T5~8mz|!VD zA1xH-E1*R%@Z}BEkQ7K!Tjuaku7G5-Y%d3BSkt`i@NyF+A{of}Fp9U(sCTr_p2c73 zfx%Z&xN@iS731*LxU#lJy#)FxK)`kxlvcjz!(>RC*>rw)Hk~g9S!Q>jn$X)9nm}$t z_`AXK$zIaNB|5`=&zY}A9vKD5H4sDoCz=aK#FAJF?+v$Xqho+rn@(~DvSx5xWh;)x zh24MzJAIW?fA|{oiM>!ac_cZUa@=2GayuHni&WH}bb`Aj25>WRal6aQ`HH?=IO8n} zY-6B(HphHT_~Fw%#Gt~>Qy>X=*kNol`-}3JxBlPmEjJ zr%MJh+oaZx&P+a!e!{GFMT)_bD{X2O^m%S_u3mHKQ(Ym$FkCn5Dw7mXmcWO=xU1w+ zYTV#}K1!|bR|wfNfWMGZQNZr_s{E zZ4SvOW#}SU0~dAX(iE&r{_3fr2Nr%cMp6O-n>oTO7bdnS)*IK5d z@~P!*-nq|jE^%FVJl?pQpsjI-d#IT}b@3^i=nrzH5xbpImuAzR>dhotBJ@`d)LWgJ ziBnceR&EM7WtVw(rSxp?Nej83q0>84D|zZFG?QD_AymzLNNezQb#CZN;|Z8y0k5!l z`EveB={aA!OvmKis5PH|@JL_4UE!&vr0b10?3Kw7nolixU2V#w4*Xm2t@uTCZ77Cw z89t;7+G$Lc2|!_vwQM8vY%=wto>3T>W-u<+zZhAZ4>zc(^BQx0Y2Pp(D%^&$fSGY* zN0VkRXv{)^$f)shsVru2@zkR0^n) ztMi4#%-7PK_hhH$%%$*u=xKzK``Ek--Ejsy&cWl^NdAV?S+e7Z3z5#t<_1HuxQLVK zILrf|4dj<+2#a4f%*dNfiel&LNc$pe^n~Z<3J6bLT`Z($0}F zXPbBNm2^TeXHN>9NeZB7PO#4ylyHZ_V44w+EIQ5sNc53)VvQ(8P0O3pnzBVAj{WDB z&V1x^#y~HYq=QZvMAORu{-?&^1$$WPbm#!-M?se$2u``-a6o*SonVE^i#Oca^5UqG zWz{pdKETb@!S*aZ%2x*~PGBxbO#F)PeN=Jz=LI68^y?>VyOA@m=CQ+Kvh8e4Q@f-q8^xa zLfhB^Xg(v0tHFa2ZdWqSgkvE(eB^W2|GaPO=e@~nEYc&VK1Z-FGP2UHR;@DJ*#w^p zEC)zCoWN&m&=N2BKDR~eA?aLuni{wO2tJpfU|>lJV~-2)LS+`^9J^gnV;4A81+Jz@ zlL$XY6XHJhbQPM+h&&%i&RfF6(S#4(bU~mrOhyFQtdO|<`2k2 zpMpY#jDJIMj`wUO4k1%FS z zcR0uZA5sx%eW)4;>?ZE9K$nbTm2?qFuM!S^qK}0O3&|0X4ykWp{8_t&N9c$t`Vua# zf${%*25%|2=V)lmsn_}!fT}$Gz;f|^GEK2W^Z3dWO!M5pBM;w6l0BO4)#H;YwHT${i#*r$6_J;rVc+!^JLfSFpcGw|JWH zNxa4u(4_i1RDU3hloFxg(J)%-jvQdgRY&TFXesb;Y4&M(K^d2JG|m~BZpvyHZhW1g z0S`GV49ozf<9)7yOCKWSGsZmr0r+=DlJSXtU?BH9dt|-~e{tLj;emclL(5mL>3O3-d0TNGIwYL$w6GhODvr$fll+H!8J1- zRZp^ii?}NV{ zqg=7(gIQLmRGef+;!iA>W{=N-kj(R@%2@QYp>})oj;uo<&(hjw#q5cRbgMD-9>b!- zV8@2s0S zZIxE`zlk`P94Fnfg>wO%kLUnLPtF#t51j_26Kie0 zl#F7umfzEr$CX@*5h&=?2UfzU7HgrmYI(T2K+X-?Z&z>JmQTvo(%h!7FE+rXlVp1A znwt1Gs|B1kjx?X;9$V3*BI7LGsu)5&-t&7(Gi5RgZ&r%!2%G27!#dr~jH-MJV~ z8yS|*66jKI%w!^4l1}3{mgJ1d-~6#>&(vXvd^Zh3SUARp&c@zb-P%+sZAWVW2Juhn z2GKE`3Zq<6n+7S~9MowetlNd3cmi)%(ibcQY||Wj*UYyCmGdN-hviG`GqzQPb<-z^ z{Ps8nu`20EE+#)_B_Tl0gqY*H9fV7_+o2@K8hDoM5-v^xS1Bxh1lXvdBw{7#5XCYJ z!GI6dgdhG~XIhfucmkA!eu6XIM*tAf1yAFW93&NTkNDls=N{ob-VgcZ<6YJrQIy|P zBJL8fh|whmD(8rJ>AWtAxH;;tqKaU7M5a4L?oGeK27L5ThTuQwDs8U$Ib>U0e`|1W$1P zvR^*NiZ9!=EwBZ$S~h$J9eouoytk07F2$zf=t^BKTo@}}b%a!91d zL;+GqVuIKsm{#6&JVT5U2?<5HPXVweT(n?E)7ckdm^iYY_exr|fWkoZq#Fm*#Tqi8 zL&#Kl>|I`fKC*j6GX?}?LJ7b{c3;k*=<|%8G9bVZ%m8u%@-BewIAk$QIS^O}0DXXr zixtQ#6_X&Cu^^}n{JqD!i|hxOd~>=2!yx0up&AhoB6$;lpTn4}LOsC9d#>7vBDJ^B z;7rL1S^>`z4~vjDZQcM}##_`yf9g|j55_sioa}ZgKicT(XU)!niyWR22gcaiFPFIX zKWp$w68Q+kG9s-G!5k8{_()oBrm+t9NN2bw!wCNF`>d!G#-TT^A781zA%#y|3vl_F z&nW@&E1Ac>qJkf_TnjnYTDOe%W3$ z)p7R9uD(_&EojcCixpfd^ZNZsJ^F5&KJKqoTc&_^uP&Nm&x9-GH?KaTVf)5!!lNQ9 z%$ArLSKDOetKXr4TEJ)j8^4)fmtyhi!*BkYwS3Gbb+=i8eB6tw-ZW;uzE-tJmvxoD zyx^AfaNs3gtC6p1d>&Hfc3G_^)#}}njKj1znkC}yu8to9aB_=NOn2p^9&Yu`N8Fv54_SG2&g>TzFP(W8+4@N9 zRgu5?-A#6NhMu~nGgC62()|HXIGb&1!S9X?cru7-CDa+-lF~f`DGC9(EP+2q3#jtB zT=}NHL5$RR*+uYmHx_9F51S{XbK(e&DU+**oJJ85KkMppERcVrt0B7Pc&$41gJfH7 zD_-uZb45jyxOw$u1o&peX{BpQ=Z=!kt;iPjtB*F2-Dx^s>GMA+SBvwt2LI!~qmu$n zFbxoss$S4k>SWs3Hwckfo08W1j5ljUwsCG^*J{!&-UagVn71mV#R}o8AHpL(vgN0L z$3z}i&XDWiVXWF^MtZ0vj2t}yr6 z*GAfHu=PHTv11VF@V8{(FZ!#6r&^ym77&D74!l}Bn$mY1VRvi zp)`p7pnS=h!XA$;Bi2Z6Jy*h#bd&k=m?fLL=}pGbbv407#}0ghl$?GN1vjUpB;Tga z_HNhk)@gwJBBVyLj)q|j=EKO-+t9>F2ouZqxFS z8HQeZ9*aHdCn^tHqzPTlC$Aqmrsng|`Jh31aNoU(RF{DrJPVq%yTI#I=KfEZRk3RJ zNJBefGVaMHGB-dwl4;>hCacWVIO1nmO#J$c%TgJEpzmSWFGt=HoG}?JB(n!ny4D^`mELPx|ou6r({P3nON-H`|p^0IJzQms_o3X`Z-WK!gqS|v@*`r zy19mJHDf!9ru4@pZ*Uvwl;O~rrnmCE%S`A^iZVfD%zK9sMd6oKvbPbj?EClez;bLo z;O*F~B@NBfGMN;;!E^#h22u-mfJ}PovVByJNrj}3y<>`ni)5rQ!X&vjG3~kZrSY$m z8dG)cvQi19t;sRgboH9E9nzeGue1)MZ6s>eAZxYc<<}kLRb!2igRRVRyx34pM1(ip zs}IS*>^%T*L!UR2jT7eTQhe;Oc=)c-P>}nazT!1BAE@(0a#ii}Z~P2DMv=;zj!>t^ zl${Y}_jQzuyg{J+84gM&6)jUFYwi{c1u>{-x^pqOqzLX8aMMH_3hpMRbeoJXAx?NJ zPxp-pSF5J~wda?w=O+AWh%5FBpVCx9U@XZzJEkUWYn%XK+ci|8I==dFCWsl+9($hG zaO@~=w(=Uz`JPOVq59XmZ0I#&-{r`HkUt3CSDMoooBT}1i3C9)@4S{g{mWNamu);f z0#7&LUzvv9Q^IeK86xvjbJsnR)SK#fM6sj%TBHYc__j znJMs#eay|rZANz8L#|?hh?+N|J|4^Xl3nUL?k13886E+^CEauxkh2=n_Ew0fTfX0= zf?t(2OHS0Ar$^jHxvCkK%9VMUym@nCe$si8KH?U1rw8GfH6`vicw6YVhxh)@TR|*q zJPA@%Ry2z>CMtpy%sX4bliJYo`H8^ybq#lhYRftdu)ha5RL{3PSJex2y#Ys;5f!Xc z2IOu*G!40qquUB~odH3Yfjg}N8Rr@97nrnOOw#0MiJ?YlX}|}ru*~X?S#xxc;2FaY z6hoaz*AY-hAe)nv8AdtgDz0zwL&Z=f)>V97Uw4iVUqXiMv;|@mEk&wYq^k`eq1^3g zB7}%5If<$i_d{e)KuH~|X-V8gwm*|9amT2kfwZUDO!}(M1iU!3b~JxSt+|O}F|hk8 z!}vOq*%?s#17fWRkn1>o9r!@7Lzx0U9f`sPd^O(hrHi6~;g|2m1MDtUdS zpsys8=s;R;x|HE%5a$5$^QM);>G%#ZhyjS~#G$IuPjRQ85wa-KVg;G#{`g_&k*NJ? zoynA-R#FC7($m3@Bg~>;Qise--5rH*TQxx9P6VtOv%wK;^HCjVQpX;3N2<^cDOLKF z=em8BSY};6qH5wKs!Bhsc8$2`Kaa;{M@xvT0DVT$6Sc*&=VZHNWt6lAu@Q6@2 z-a)@nc+L!^dYO_bl(hrKd7O9(i<@fw+^5Kr01k|m9r6Z_q3~eB2?G76+~6#z^)K)* z$FIaf?9*soI*=+5500IAZs1%2pags-_nAq(2E>~Ri&kEcHas8!-FhE!?$H40Z)3x? zaz?cR{J}Oo6hsIZ(d^|3+q@b3+Oe}3({MRSx_6I+1is-}hYAqgrxe*AQn(C~x{ zcPBnhypSILC ztPciy8XVl<;+^z0U8)(tImlRHFknUsuxfKi$No&DKA7*&FfVs(b*AD6%`1kT=72;P z0G`GmgZfxkK&Q|-7Dok9jQucBlGK=O4qG{6gncgOjtO$9Lk3TBXcD+mm=>~iA#uF! z;qqu&EYflVXY=e<>kZ9{x*;~3l=h}6ldh&K!5+P;O(xxHk-~v(T)JnqOgZGYMX3HI zqpIEindCgqRjM9EG0NgNZ5X_$v?UgU=Z$E6~~fTk(( zYb|Sz%2|TF$AtHx~k`PF>r^5vPnmNEWcu-~)-93vy+|~E5Sq-h9Bt$l+Mf zMJms_uay>@A|WlCtSMXwZRl^bbR;QVZ^e;mRip^~L}uRh+%-_~tML>T@<{(_zEJV7 z$7WL4L3VMMw~SSuZDeqI1jegPOG*SCu}Wf3pI$Ypc@#wJ5@P9C-U|oGmaA$nDFdDu zJ2saSHFhlk2%zCutM|=2KxWXXX6pVzBk2m-N)S`N#(vDXZcNUvmGSDO>GFnB=4?fF#2+oX%UoUE(oNWIbG2`=4a=F7Iu zNR4A*P>g@^m9Vy_(B zscUIN2J5yX)u(N)Hpw>%vZjw2gDlOu*EQ>c<~VH;ChOP;e!__^4PwS+t8-e*EGI!O zsk>c!wJim~UjmOF7yInU^3ly>9d{ z3+)$VJ-+4WsRUe{xg7YTq!dg=xn3Vgl1Ti!r@n?K6CDQUGNG2pzAf=2q~cRu)y?|kslcfRl^-}&In z-}&Hc*8Urxe@GD!wS9o^&-efA&p-ZypRx9@K77bu{T6+&XZNAJG`{nN-$um`zDl*e z_n-Zd_08X_@tBfYRmBMtNQcbI@4?fS$5}98@ zO9^AU|-`81+I*z<&+#MIC4!P8KD9D9!+t@HISWqR>i<9lYlImPPYt=!<3 zOFA(&*yt7U@uJ5abU{oW0Bzk|9BYl-v2!#PBUiSZwlL3V?jqeXX3F%Xff|f|xDDQV z-5BoK*-hrjHb;><@0zQnw8Y5s*XhIC^K1$}((EmZpRj-6#wLV0I1|rj88TMSa1|wC_;XlSq0y!Uh@_`@3kwMzwqyn>bS!t`%w|Jf%1;&5yuRME}F5pXCZiu@@MOz$xUF6NS zI?zsw%Y#ll85h|97W^$urj`1AiQjpyFUd@3jm3&Ra8|2rPM`7p4~?-Ds>wVpNI$1) zo4yef07Z35rShKis@hnKf`9EYfW>V9{k-qL-&ZBTu@)t_Rg0sgCSCO$RU~3S@Gh`n zqi;i@wx`8c>&B7+>kq)T*8B*FJ?<5O4reX7h@84qbh)#Z=qk}CHGWAfA8E%&N0&v_ zku95Uip*GUq!MC<2f|za5JqI%bF@V71z|&dWzkZ5j~1Jt6LW(_PhQDnx#v&v{Q`xQ zSe7O8RWg{U@(7kF3F=KNUJ>l|W*^Vgjpj!|G z#%z^wC`MPJyIH}O0DTJ~)K$va8K{`C+Hx`U0CDf6#jJM2Cp*ClVUpaR6*`Hyb@(*k z&IJ6dV8%9wyv|!=b;JjFILy z#tRpcULSP5Lw7LNwf;?g+YAjiCj=IptaaO$!KEdO1{(ePJe1v36%9E$vq35rEs@QF zKcThTo){{6sY~b)+CWC^MyETr$@)+FnZDWdpY@~*MT(~7Dnlg9zAq!mmRN z^bBaSm^3;3#x+NnG(2B+d;Y103L(#g;3Oot3gbrUWbHnhG#dEpg}0*}hZ4FG^LyC@RGmuHWEJ zM`M7^-zpB=7Ek|y<7Ob$PpYETT=98fK_Yux@B>*xPqY1M{3)LZ`)vG?tmFN9{FxfT zJ*3SkV$?3qlSz#ZfgQGg2X`0@o zDh*o!a>>$fhxAlh2Q+xdQXF;00b@m*PS4H(lR&w}TL%pOA>Rz&?uT!+XbxcO06&^s zQv7X<1DHEhIqAjN_!`{BTD&-D=~y*uJ3MrBui69ehPs0<0xs>hoE zKf4g`4fCFk^n|({6_dGMcjM+VP6uYyN3JT#2zu5}qmn$S8lKg~SPo69XF98!%|djL zMwGN+=VoB zZjJ*%E%ZiK7@xne1<7nTnwPp2T4A8yB62{>qh0DxG>sNQY-uLoDHcm(je0D}^oZ*+ z(UMy*FWW1=;^ot}{dAS-a$Jmd7B&)&tI;QF2#%nD`vZQ8K{4aF;bO~y(c^YpNH+ds zE}tpy02%{Q{j@y6FjP zS)R6iEl~kZg=&c({zaubmAb9ITBS;5>O?z1HYX^FaKb-fMrfePex4ft=ck`N19qc% z2PoVI$cu7CAfb3`Sp%cV_vE|4^o^m>dk1GhX>)LAmX5dMc7 z0)7(^*Fdte0j3xWiA~zIqN8PxIm==3N92C}Nt7+%#X%-d*H7qOs4LMT)WLApdRp z{u7j9p!*BLCOAshEg9?S7B|X7h^p=P$i>xc>l8?Tw+VSjC;Tip0V_x!O2~&^vNz5KleNxK*+p{-J zp>EJj8{InDG$E;htiRK7d?yMG*SlJ1t1gP1&~;;EmKgzeN1K-_`>+!Rv19zFKl1DuP?9VOe}$Wh zxCV2M0ELyrKiAm;*LUhSL}fMfmA*4KFTIGPK>KuA1-z`_q5(Id!i*(v8qLJ2eXhoy z)-#M^MxHGZsK{f_E^$b7Uv!L5y($^0H$<(oz&|*)m$>5J5X43lsz!az)xo(lOm<+5 z5@~KuoMs?T2+~|z(!%%y0bkU?pm+YbIT}}6HJ2EXMz;&q(?6XS4g=9Req`RcSNa!S zvOx4R#EjE^FCRGL20cmQq8ilsLx7`I6e)`nPj!jv-h_}#3!PK*N;;{#c=kR0uJQnm z^7bkF#I*s6!tI8(5hbeKWF*&^pWtop+Bmx5RZ-8IR~PWAO(*ssTyE1bVx85+ao90H z!GBZ35hf7U{grm@tMZ-BANn9|Kidw?M!+-TW?ds5vcG5#$S55rlylqkhWbV@bx;xmgWM{+;cfh$_UN&-KWd1&mLIF| zh5R&pjt79U!>-)0#mm1aT$uah^2CN*se` zcvT>0WnVJ10wl@<-V~!_Iru2H4YF=XN*iq0#o)slVnWgXzRj)<5 zJkrjEK|lo=#>|f`26gj{tj0f+=pH-?=uO4_o{>-Cu|zj9LA^GE`r1AHp>ne%8d z8;hKl#HOx}*&r-H{vm(@@Jx}F`0y;EPmD#4yivF#rqSvJ0MJ1s^-B_z2ILd|i;V-j z#I4fPm~z5MZ=qn1(TKQ^gJVFE;54HnhGRy=iUk1BVPruMxz_)g#(5G{CrJn-ItAG% z4Wp(Jb$hvFgmyYqY|EBUX&GI78eA4ZXnWUUDR=9t2^qAgt$@DW}>A2!`%x66l5CuAM{>4dDS z=+5MjNa1iwBG#WyW#;k6k!}yslUw2KAAhPx(^Q_%f)v$fc}folg{EoX;S!ss%}y;A zGQ*xN_QD3z73;+g-iy~rJPePiZUd}*X&&LhDB)f!ff;5L-iaBb7$yND;1uH40)K=G9?!_Tc1#P>FKFM(>s5yvRrLvJ?$iQp8vH9K zg|@!+wQv9AxBlQ;Uq?_ST&Jwiy?1e(Z!G&h2_eW$Z6S^Asw(o-XqI(%$O`M*pa0gM zefuZB{lT~X8U6Wli$5;l_K%PZ-*?Ro?K1Z+jXPDR6M0qTMQYIDwA|A4`PLtz)o*|C zTOWPv4{&1b84B}0^4yRr2GM;;(}61f)fa!me5{J9C0)ko$|XsIn)~{_1$Nh__xc2ct>?Oc>vkp)e6B7jz6yI@%Muv{ zv)Z+FWZh83(^bTI5$TxPW(X8?;ZQP<`r|;$M&-@JU0o_sXdF`)+2K6mFOc%$)PAfA zvSuHt39ql>=`cKJh|C-{u}C?A1BYFa5#fe3&MKnL8DcCo>WJ>jA}vIF9I55F55Z33+oyVV2YOd@DVtMJmCC2o-dF*HZy(&M3lis3rdQ z`-%(&?wN;5z=xICHD?rKc_2-(4_#YePvE#U$b#%69k(`)uv9gq4N{VjaYxD9b0Yvf z+S4k&uHs1?nVtuZ3b?i5sxOt?QGn&DT5X1?%+Xw+I=&zHk*YI}uhezeuSiUxMP0q* zsj6cJ-I(+X36b+gftI?eL|P&(A(BNN(_S8a0K6QjIF7bV0lOkA$g^;tD#HuA%x7d6 ziH;kpB)Up)DGy8vT-2ya!6-s=QmL+1bkO|eS2sN0BgLUZ4XUuZanR)<$6IJ4UhF<; z6NriBYY~^5BlRrurparBJ?kqR`mOddJL!y$!)A-pZx$Z zvC%9xG=zs6j)S6+cmkUPH?w_q#zJ#cWUcQ2X*!Cgm7`H*nJ;8>qL+?}ly!X1Q?o{LXs0Hqt=%t(R+aO`^@NUyL&fET(=H+?o9ame%>wyPYj;@$(i_#QaTei#5X z{IU)mg0QFH=NF<5T5y7Us8^(Yl3H}7iX+X$$Z$ip+dY80?;|pz;>c$B*NYlRaRBO^ zfR|RyJ&Zk6N#YPWIdC&StKu;Zu6PZ?guCYsQPXjZI?Ea@m#64+79_|UH-k$?ms z(>bmZDUxNFX~beAM7Li{BC%PYv;g6Y3pwgFO)ej|8w}Bn5joU4c0(nRX$CnYqK^Ux znzi?Pq;^JFtWP_AEcmrE(Iu{KQYL4Bc>~r-zx3j(lQZ#Tsv&|CO9A1t#4FiHo)bCI z^=5oVleRc7Jg(_c$H%%Mt1Q7jhB~C0alVHETbQL1NL_%{qhG?K%i;~Ubt49Urn&2KZxb}>-ZKa}9o7Dm?ZylSZ86k39D*?= z!+QX32RLY~Jy4qwR}G5;;eh@V?RuO$fu}w8BJ7VL zG47M%6>|QCC+hmrE^e!+m5@h==9L$bmI9Rd@QJ#C%to6dmdTdzvI2AugeKLHy_?->b26TL_TV7jQ}VGv(O)$a1bjQEv zHA=>wjgyJg>MNE0-+xUkON?ONG-S57+YFC*S(9%{WMt>KcvdnFDO`cu^C43>gDYhG zuGj$u=4T2{W*ws_%F+HY8^!_gL*|6sS)K^8tJ{1ytVLfJWTBsUn%~Nj) z+|(hfN?c~&peuot?p5|nzU-?M&?LFN)t4epADV-yVZ?v*xxK4)f zUHy<6ipCAmAr1#FM7$wYTme*p6jwYcM@TKJJtrfSCt5W-07k&B-%VEI+DpZ)U7>Tq zNw(TorG(w6GEcFCJ7`jT@i5lyao_bcUov=b?*&7Pr74Ml%yhj@Y2sdTGnrMhwrD)m z<1_fm^X=Na49G;!-|wvO0ZPHcM)tFzLs%YEQc=fJK08+9S0bhpRnCkC$ zufC!Qg8cH0IYA!Ab^7v$!iA!Rn571fQ6mmE9sAJ%(m@1&%IX~g+Ln@F4w=r8JE5{3 zCP}`E^z>AVRokYgbcn7uTz&!LCM#+iE=mXyet~$jP0AhX=UKitOHS@xW>gdp@iaTq zn{8cCxZN0jQ=xEg-OQ-&s9!2CtDwW-W{}-r*OQ5~?l$RT&gm#fMK%FU0<2C(AU%i& z-y2UK^^_=^GHnvw+Ju!#`oOEN6t8}l4uxWyb#>Og1n6{2yWYC4_PlR%IWyyE)VCP8 zQG;nm^WjXI!2wY^e=AMGrp6Ytq#3{DOuzr4TJ=rA?cqEg0#gG#h@4?dN<>9FwvC6x zQns~}6J)&l3LN&ZAgh)Wr(v=Qp34u`bl+&%)zE(Q*^1L}Lp2+K=j?b+r_@VEuh;jA zR*`mfYEt*}%w(x->h!QZzlG@S5i4+uVt{sb7ulo>00-akrzG3`;W@lq;OupPODPd4 z*g={{X}nkLDmtOzZ-?MOs<|zmSj$I5;x>q;mJlX0TQLY(-oUT%O&C=F{)=J}kHbZl z-eS!`LkT{xZlL;*bRDq_HFn~eV7F^s|{tJbv6Gh%o{ zyA?9F)_Ytw(q2Qm9{l#|itk370|LR2vZZX<&j6bSPnMa|^=51$a}9_7G!48%|K(+r zwuWqNB6p-9JO4|}DsK{Ivn7rC|0j_;G4WZb4VIH4YSsSbOC%{M&ZLQ?E9-sFRti4N zbKYBWfDs6m>1=&iDzb_jKnQN%0I42XlO83ebD3v!lD#m=po$rDiwcnP0@Sh%iHG!b zQr_zlsfF{^2GD+x04&0MPb;{Yw>pOLF-Wn|ck!?^gV}C*P3cMX^$@E zj~^bXZwQSzWXqgQfHplB%+VH!abeT8G{HK&WNKk)=WmNN(~UN^Zta?T1PPLzcOu%& z?u}TesRpcC9B_ZzZPO0`G^=@ou1-4E>2I5hx&q!x)nfM2A+snrQssxnLpbFDuosBS zpuGbZF>txwrcIF_M8h%{XS2*VWQ=fb*f-PuVcky}d6@%}d%w@I=xF5#G%}sSu#qh& zJ}X8g9NL6M$sz3m6;x*>qBmZrGAm=NcSw{?nUDNE+XC3{pg0|&qAT3KP0Ie2;#rDI zqOPgTyN2e%f!62qn~k!m4nwR&FfGDgxOO(nK(IHC*A9AY&tT6ot~#wigc zTYCBGtEsp$Ga{108F|+n^AJpV2<3#T!_iImYB$4aHzOn+PXXLK zxMs6QiiC`~{-_zoJ~Yn&5TdbSPjtt>)(G6c$BoQJ%5{*mRf2WgVAMch^;lyp%y{hV zeoK1Qg7&Wk12SApi2!f&s-bYyP{>|qoL;0b`9Yk6hOUUqxtJ9=GQk2gF}%41(n4am z(Wr&7(|*EzwWC|(F`Fj0=Yx0Yy^owh5o>t{5^eTN%I2}EYOT|&n~d6WXR!jZ%&snitIKQ>7vLfDsl+^a<2|B>ljIrh+?424ejJ=I|9)tm zei=`n`I@%_)nU)@Mmq`#dQs^>7g_LEw-jeKdA#{@b`^Qw@J3sT2YkOFc;{p$jM;5p z-4^HFn=b*!r>PK2BmV=tzO!2}-X`AffZj$2GpW6#`;=8P6%&H+oAEGu(r4eUgOwj z2tAh597*a0v(%$~V>cdGB%$X%Ag_4B3n__=qAx;B!3~77%{!d!-j^;1ob=BNBIA!4 zKpNI1DUvjGIY(M2m~(grsz~YIAR3W=sKWqe*+8#o1DH5my&+brIURrbRqm#M4DQ!=D!MbrD||@r__wB+x|y zT_i9<>M6Ph&?j9k)a625E;ImVRvxP}RQt0o80mtME*Kf{w9Qx-iFJ|KNTx*+T_n*( z65wr*%ka!Z8TwqxIJQy#_z#E=&Ca}xf{b)zO`gK0Kc)o`2(uZa1(QkQmSlOE4E;2G$R#|-mPPJaArvHM3ov+ta_}C2P-yFeJ`pFs5u|>CJhElD^ z?9}Y?DM+V4BD3Gm3qN>cBw==1L>N|i=CJP$FsGvq?bC;g=e;7>v(57T>vuH4)ke}Q1nsQS>rx^GycsM2gfb%8h zc(U0%1!f&aZz&Ja#Nb4|qD>=vBb<1|jsa=@c zJTl>&+GLDs9z;U|iPyFxu@Hg|y36;k?apRNs^JS0D7nBQ^YjVZF={6q|o4iP|8E(3CKLW>=M|Ny|8@#c!v#kk? zhc8T=&>Zk90PsF3Bx&7b3|9AA-US)EtMi9+OCmsey7rb#2unm@w+8EI=o}pA!)fpxF#~lv|D_D+&S>1 z*waZ*vtmtq`dv=t4zyD&@fu8aC)Y7M4pByuA6zF=ck)%nh9-3Mm63IIb-<1fcj%H+ zr6~ME!$A)z6aWPs{`JP8aiFYWUFL@(%eA6ZcSNTm#@2aLcR5*Fg=A+^INE)jjn39Y)`)f;V_%UBUUbNR*Alt3IBcy`ZE2S>Kh&>UHO3-c zWxN3~&}2r&NJrDkS}!ESkZfv(A4!zYA=?P@@uI>dTBFjiFG8la^J+4P)GsVcS^R5iqUje`#9j5~`werEv?+HhCuJ`6g}A)!rd9aDg?= z`QQ*{RhT3LXzHj%n>Ab~jQ@m&l5@iGF!n#0^0Gr?ah7lTpVT*U(g_k7%huc@5epe< z8FIiOG2L@ZGKLLbAT1mqX!gqu^{(w|I7TBEtoRfd+w{}|q?IVR@`^y(<}NQtHTCcb zZaZ()9a^#P9jg4C^QFT9$O`TQ^Ue!y*Bygix%WQR4oMTLsIMfrNeq{> z?2u-kiI)U}v*HS8pPMkzNh>Oaj$G(o5+Y;b-Ul?kBoL%IwdDmkq1P}9K5a|Lue{|)I5r=)xu`NTE?D<`uY8DdDUEz@?( z>R1XFRzRPpB(F`rC^JwiMtKjX!~zftjgWf@m`X%7WN-jyoo(7bBIDc;J2EMTi9vS7 zp43fNSBOqlAoA5jR*CbKPQoeZhV&z3N=yvwfJai|#xlRwJMV_rW3Xi#37!s-96<9x zb_sx#vl0j>)q>+PRZ`#Ugc58CfXK77j(8#Uv8?)}t5>OUHb>7!zP<)lnc1YvItOaI zI3n+fZq|$f9<<2jWX-#Bv7|}xd`91q0})yMSb3(7;;$MLx#8LOnkmy~Ful${@=qp_ z5qw5NxKwmtwsN2fI8}eX^6jXEe90B33ND=H(?IS&zCBn0jxVPj22otGZJT=u`RaA? ztJOC^n9bPpO96|JRnpgXpK2LqN+V$l59vMyatOcz`^w(Xbmw}r%8T=AQ#FsvN8BY= ztli8iUvcM0Y<%9ovS%DPX5KaH=R-Z;61Tgh$qsoI<^#V7YV?rgqDt@-pIN=`*s$Di zhTJnp&5o*G<8qr7WFGBuFq)U#H-z-fnhl3$XG2nfXI!+xyXcewGxADLqpNLKO}a~Y zM3B!kx>-xZI5m=RhgNylwwrX)Re#*ocqZ6ImOtd|JBj2EspU8qZN+cV)F3$4iY006eA z0dTh5PQQl}P11iaEDi;LH|AI&4#mLuzkZ~Ll#;hFao?&rbumLK2#Ug?TIJndBg7=A(uszRe0>Ldp#JU&jdf|;W z@BrYULX7xn*{=}VhGeyi{mJZh>?oWqC$(Y~;p^KHOFXRyABnDLO{~#ncd!=6JpxgH zqS1$ydK~+FyT#^q*{y zD12^>FD3&1)Q7`YSBmY=VsU|gIwke@KBe;9l{%)aSXq(+0Z35gV`jBgi&Tnmj}awQ zRsyYE*T9@pN#3o5Av@uWXQ{vmY}i1bB&!=v#9Z4Gh#Q#Cin&1HBw z!#1P6PGBAx1Qm(X=g*buOmL78os^7yC#aC1Yp`HMJalM~E~n56bW z9W!Ysz?$EgtA}b=9rL9DF;72Y5&@|Wnxf~%L7!L?!Og@aX9XJbVBm1&@EdcDOIqq% z0wvB1-QVWXP8*<1Ds$t!1H*GV9<^Xa!p2MmqpThQlIbMe{NvT(r>Rm z{N{)Fc6DBEN&QN+xB*q@M>uLaY(-OQdt9@Sj^1nyXe;sn4U|_BkxzRPSH~az)bjk@+D~!m07&{+97+Sg@ORHSHFh5s%05bdxwnQ8N$kGYDBdrix zC@$pTZwO#&{Leo&8QwoXDvJd%Ag76eRKhngwI8G*W<6X`&)y$3I>Z*Fz_-NbRey0=$7V^oqJ=KuLj5 z6&)I{J|wlf*r#~Ua$t`+LJ`ot*C_7u-8Rk1RI9qjZFx3;wdC;$h;_6{oA^|2gp z6E1MDgj~KUNnvJyjehxm~9)E0^J zv|pgkt>L8(SIDXaxKP>-$?$iPK^7VOzVW5J5ZU>I?EG7@qmC61-6E%2kRE`v)TvRj z3j-pSWtPaI44mtWa=HS5FBidMvVy-B(L=r%I4gRxk%1>Sxz5w&fyf~47KgSzA~d?_ zmdjiwL?Zoj-RrdYwU~^^<@VJ_$oE$xG{VK&1pH5(RwYyrFMxdow!9>{E^oE%?O%N) zks7DvbK~95JbTvW?5#bREOSFevL8WRY!J&VeltauFGslq+<24)CPK32vf^A}z_yZn zotE|woMs{LoM}zZqAeRY*(Zj8!7H(}NEI7NN6aa5!f{3!s^^nLRx9e^Lf*H;-ICLP z13`SoAEKb@1%iva66_1CY+mmb%gmZHYa+C0U7u)A6b=~66yQ)aDu;^ZvPxe(Z!3aI zx=fLbsxQLKo$Bl*JXhxx>I~X$|FyJpL1Qj}m`n}4G8QKA^GR&tU&Zzr>7v)9kg&mL zqQi=)08l`$zqnX(b{;XiXoi&>BYuO)YehNy>Vouqpy9L5IoTMSaSP0UTCOmkI5>nS zP@@OvqOx-(Z?rSCOOs&FBc({*67jXNGIOqxp9-9m96bCYtDW-9D?0Wvz~s1KnCv-R zL1&V9-nHOgU1V2!MtVFFM8VRO{vdfot%h*4D&}3HU5!S6m#GCQK-0yU4hN*4YY~<< zpE9Juz!$A-6%;MU5U}I7ov69Iq_^HjR2)6_?BjnM2l{wO0%;?Pc9z(IxhYXS0m$XX^SVPGj8EJwt( z6mWZTM>IL|hkw8GpHH}T#>1R=R&!qAg_8UJ063R5qtzX1z~b;s22GAg>Unepfr9Jr z^7e7@>LZ#`>`+YS`wAJsPI=a#Y^XwtSd3Ff;&D&CehrShNt~uo1@y@ zgzRAg_|MgV1*3jVW>tWb?(mpzrW7}%Ss~t!l+z4Jy-(&(nAKFy-h{otIspU)xtXT# zQX{go*{s*Oxgqtfp8zmT}Y{mg~G}XHSK6DVB{4XJ}B;%JK88gCum)wK|fr(t+=8uF4yg5A8CtafkC z;UupV`0HL0w-u7`jab}4$0dU4;+r3Kt6qMZMSChcdy+XXl4tj8dy-<%yUO5fD;kC) z>cf05=f~BBPYm@?d$vUfB%L5?59+tuRkqxot@+fQtTUcw0;dBV1yC$ZV}qOnMfU1z zr8X<9enaiIk#TQ=K|btaaUq{{k3f`+W<^J8=)SVl+IOG#Q-5--^gwM6LJ!hLjUSl9 zm2RGzYZ<@{_qF3mX7{rCu}?pH#xRkbW*MISnK+WI5D}R#I=)WcXMhyVo4th#LU0Go zy+a6?V4gOHb04JEWY$Ll0xGEyW0>f5)l}=24$eh`)Yl60(p2qQlCZ`NKx^?NE!@~6 zKX2KZ{ylBc2j=nsXuqMEY7Gw`lP1p1hTMC*IXKGG3PQd@ygB&R*(IGZ+h;3*f`gr4 zPK#L_#cbQY&~#@sFFSvYByfO9+iUTD)Ql;{)_|?#^$en00{7vWmkq4*m+%+tHsa7f z8!t<;^LU;qnRjf@_+RlhAc^mefJG|wRknUYg0{xV-(YMR{EjWk5b4BCL!%EZV~1RG zOLNuj@G@6tH0-OLw7QA&o)a})X@9;2ecH?#^9-I=ta8hXlHrM@DQH~R4Rnf6e(8Wp-#7{ zdB@*BH-H=NNtQwwy0isM`;|6ZD7I|dsch-$855l}x6N}S;a61Jo#CpMF1K_F?&i%u z77+U*WU3neNM|=>1DZ6r77i_JJ?me_i4F~p5%+9Qr_Zwkq{*T^1~DC+MI4}452>IL z0sMNE%3VB$y%i9#4DU$55pqe*KoVm>649dI)0_|Rx1wAiS^4K0c0@5e-o>DK(_(uo zG8oF7QNx6ictx_yX86{`5T``j?|O}3Wz}0cI-1YMw(2nl<*RPfLVi2yc*$cXzd&2H z#6G+F%4Bl$K3sTy884dRnXtkYrM;cveJ~s=K(GK_sV7}O>3TV$?kt*1l>FUUy za8ZbM&H3+6WUQ)={X&tun9i&_6N$5*o0~260R7tuu;x2X2j61u;PVupr(3A= z{qMSmw(g<(W<3mgHfTsTy})1tUPv#{w8I}%dVFd1o`vnaM7X*l9jFH0efnSc8vu2I z{)Qt?MtcKb2@!^^2zfUuM!Jg0>Gw?7Bl+RL8E2oa85_TW2oE_IS{)sBv`B5oqO1<% zJmj!sY9vT6Qppa2m(;S`b)QR%YE7THWQ))_^b>r98EcYw+NOt&)V6$AwN)yfL-=o- zX_RHs>Zp<{l_H~|hIYBxcAv`+T~W22WM;5%yI#?zOs5+a59lvsP?)e}b7BE!%#j_T zpd#)XIC9ftMaB@nFme8kNe`H?R3aV4SY#y~Y343RzP8@!}+ULE!=pAUop1)m(7V|Ko?{)-iHg2=0-D-LaEV;6=pV z4}tbu2<-%!5_GQB(71^4@a_Sym5e+&O#~FCQaPy)%gu-_w%2bKH^p zgyXYk2Ix-QFybhlGBkH5iMj0niI}yw$l!Y-FixZcXQZ7ATZyD%83^`%FFyCovEApE zb{B!42YTkR8AYcJ6an@Qi9$b_kQrQGNE}2bp80n;_B|aO?Dlb77ed7gZGS4Gue{X_ zdCRAj+}lkrn8z1sadPv192e`PU0uCOrfS}mD>`nBCihw{$4UL74QG{Jw&^387wN>D zWz3Rj_frmc($)Nilu8F=>F4`~y1@6Da<^K`34c*oU8m}=&>~y)KFi2IT^&E zzZSmcB<3=3IFaLunO9FMjIhxG1o4^(9B;T=7dbP?HJ(|pJf~%Sc-!#)(7U&*WwArh z9^ma|R$R0)xia@uZpON7pu*nh`0%|fyixsmr^73cLn2(+Dp_PV+Zh#+?0c8Q<}Lo> zkB~0gZpjJ)KRJixOYB(=P)WX=O>y6_=vJ#Oen5Cb&4C&8oA_ciR%GA1_B%-Mwr5_dd}|ocoZg*#4*r zeG#G&qkCMC;gux!b}*vr%;|d3J1UqKl&Kveme}`^KVrEr9^HEm6+drClVFyabl_aD z%=JPlOJ-wQTTyZ!MDO6NaA&;I-{Ctr?5L~+K~V34m_DL^gymr9BbCB2l!PQVgf5g; zz!d#NvErftiO1&B^o<*XJ)`aF9lV1`91geY**C=Dyfp4t3)9K2&3ssdzbfP`N=n)B;0za%3AAkU=VT8YP{-TUNneg^oQ z$Q!#e?OTsl65fYQGEPSP_FOwWBD`c8q%i{Bz*UPRb_edkMSSm5=l(lVABgJ$VJmol z;FLyp&2utW_Q;vo0v#Eya^^DKAK(~Z?K8=}gc&74jE5?J#GUCOW4zhwY%EEa$4l=i z%XYUUD1?q4i*w-ZKV{(#Q z-g~NDzBC=$!$hN*8gqN3-efw3j;$}6&x9fd7yid8RZr3b{ zrP1?(2_Un^>am(}-`PLPcs&j38Wth=ea}!Sc`((MxN)Gpv+X1g)d2M|hBocHL2O_u z#8J~s0`%SW@(8&^P2y-@Y`%^2;c!?;!6Yd~WQ8iDu zH4*^7`01A;T@VsrseXWHCS0SMBPaK?kl%D4@zkLq11;5!szyGMBW_1w2%g|40KDu~ zLwi{b2wG$?!6OL$bEbU_x8I4i?rIhOrBZEiy7^M$`iKR*g!>qR9d!$S61%bT>At4} z%e9c6k!~Qdds0G3HlmYKH1a;n^T)Y7rgbjAG>zB}@kugaTKF|~<+u|t^ zx`_-!d{4S5uvvY0o3F6h6KCoL zLLDBAe|gkbC|rmeLuQTM2WRpQJn~5pZ;TmP@3my-Pw4vJF?nxJHo727S{Pt#khP6% zYvCWz zuB{?HFp5G(J9|wQE!4yfl{46$gZJ}3>k86uo9?mOI>=yyeJa)e~_6$nB=kOb{ z3APnNbg0n3ZPM--B#D)fGKX9+*c7O}RfnxxN+5qJ&0N=5;W_b;t?G)-h!F{o3Lw+8 zZLoXrwpueF<(LK;Hcp5%t;P|aGHqVM!Ita|>zwY>ts)e7_d)1czQLH<+v))5o>7;G z+ZVP&dOo6$;6V=P*+VXb#?3h|T!#!QBrK+`Ws{p_PK(~!rKhw>!PTfp0wf!N({i?~rl%4>MkWuTBO(HLE5JS#%Mq~K z7=nY=HUgr{vr4emu#2^|t6j%E!XsJ+pBK3k8+hP6o7)u5$a+MAfmmeVY4Z#RHDIyo z682ESr3uU-11qvCI`nPmT09hs5hf8a(cJh09<{!%g&Z8Q{26mD+5to?%0PYw!Cv? zZkGoW7pHX&3?FNoHj+#O00=Gu^sOMU4m$rgKkq^PH%SlMSLK<>&b+;1=pK31G1?UX zMIfsaVud!yi7iBZ3u*Ld2CmME=wr&s^)e<&8rO_wo28uirzeVMZ^T7zTm>aSoZbhQ zWUC@&lHS;@2(c6_uL~9(j;pxNBAJ&N;(>+5iBC~-O`6EqS~o?Wjl>zcSC|xsyQKld z5Z9g&CdH0D255UgtcGTJnRW#m6D-#7ngkpg>Gwox)#qq+G2h|ftwOYq<}N#xyoE8< zH7Q{<0dOk`!H&po7>$J%sIWYvN?eb~?kn04Gm~~Lyd78Ru96CyMH*L7rhRwZ@E_>D(|Ku~zp5^5#duidgw*c}%Mu{oEFu>$l$2zVZ z+Jz2epyybb07FWbXY1o%`lC-i_^nUA__K7#6zREPonzOruT{4{bTy54j-YlLdSgx6 z8oW#t$LzZ(st^AbA!Wtcl#@e$U@h*Ob>GJV^ z{=47*2fxBBvz`N8f1Bo$_Iz#+G|ycLi=kQa69qN-@$dY%pZvuyTX+yp4|sGL*CXLq zTXTD&ZWg)ukkKHO*2lm6ht$=-{*$lYs1(A*1&zI*i@9Wd@*DrvUw{28-~Hu({4|%5 zwWHR~skCT)@Av=Y`~US9Kl$SCjM^DTknW-JLCvEr+gQhV*P-J$2mbcP`sCMt@wU zKluD7fA-to`}tqLUT5!EY>d$XQ&Dr)#~=OHC%^jh-}|{gyBPCvC0AA2k-2%sGr2%O zqxQ$Y|3}~Z(wA>E=2=?=CG9%KYRNOW*<{De`u?B))W<*lTc3RCkDqMSCmk5Q!`Npu z_yCsr0s zV{Q<0WXY}w+Mk8m`|H1;nf}#VGm!DN8s%eV>=T~(yR7I+%=wSM_zQpi(Qn_H2)4BY zY%%o^afH-rot_cXgn9q*um0R8fA|aIsY|vIb!<%GKm4?UtlSsP|3}>0#7eScX+qgm z-P0Op0Sj0mBp9GSKtf`JX5kUxH^Ogtgh#oD-+{}Dc4XS!K?~O1! z$L!eOIcDd4XBo0Ge|X?Sy~@nai3i(gSHogqH;4;)-0W(~;^?$ucJ1lNH`>aCTT~Vl zj+jkTJflGu*gVfDSUgat-5qA;zX_CY!2ma}Oz3#}@#-*a-rhm`M++Yuh-KF!NlsXY zJ>N=M=GDPdeOf0uGdMP22+Zn*b zgsY0}*AN1P!bbN+mJgr)tSUd!H;lRBFKD@-g3C@Pj_Y3Ecrh|*Gugq%?a|ar+)8%U`CQ$Z;D9i++5vM`E#}^L4 zk&2JSL=4BD48AgZ(Ht2~!iPaV(91htZ(yI+xxH=jhl|xi(5-Qv@(`EXKBk>lFho6~ z2^8VIQXv?(zkzCeYI6;Js&*0yse4bg)aLZ&tRm=(Vq?E$qQQ&(&LSXUfyu$=a2*Aa zNR}bVg}TX4S59c=Zqsd_CO>fUrhLKhk3MO%AwxPCjZCwF>6vj~rxtv-urruhF2}U% z8r@BGxxmhDsuH3#`HqmF?F zmzRpTJ?|`^E}oK^Qr&KH!+9>Z#2#Chm-d}(>!+fEVq3v{!RqEC&vF0q&RL6=Cq<8I zm^1A=>%3v`vllzc%MUglkv!rUUnG++2sp)bQurdBd=biDF27(!`)yMmkGAi*?mMGY z6cDQ_2v~~xyDk+@OT}_)2wL)OKtu%Q#_9x(gTMD*h2~eJ9gbh6##bcB53CjKzg&>q zmDl^`@{Tvc@;0sTK8EL8>evDzeIm46+vZKa=0)MUBbKog(2td^v&(l9%|%#UKE>JU z#apo8&seK;-YhIEfcE;*9#*ZdB*cV>wXUl@c6g&sBCs`4(qoN;5hbK9HPxLh3RvaKF~63T+1^m9 zL^AYbiQ@dpJ6d7K<{of@Ud>7wi~BLFW}*D5ATIc8pc-s3*{E45bXhzRX=J1xux9M( z;g^1KL@s6>Dd-ClgD|2@K%{RR`-Hu`yIfCZt;kj~C+$RFbmV?Bmhnh*r{v{*-9g(h ztIF{CS<;JMCY{uIFSR!MjMtKM(nxiHTmly3MKXT#^{`PKL!~>zj-ggWeBDD0JrRbw zn;b!nU=w>JZ4+LO;>IsY8t`8|BY8WlKKBGcNJ=L91Nqnb_j_0JCmh2UY*#wnCog<; z8c%IX(p|8syRy~(BwHSy<;4l)N;Xs}D^=NG2=Gxs#|uRhT{IfLR0(kUia~NyG#%+k zQ4Kn-^2SYzW|N|U(<67AWz)W6o<=0sWQUqkG@29*Mj-@KA*AZbOA7x3C=31eL#Sb> zi@cuVBf(Y2+ZUC9Kx+qm1}SXItt4=6rx%cDjd`40}kj_lKC_0%XP59-{BJU?>}hHrlX-W zA@BLK#!n01ryC83C66$~s?GlOX3q-WryFa8dYkbSja-&Y=!R3ev%>f3CK@Wa;B_qh zt7dXYXJVcfzE9V4CAI*w0sGFYA{dGZu`F0+-`Hw2>75J~HuMcU=4;RY^?P6Lcxw8J zd2<)T-tjD*xkPF|v*j>)cj}_%&+7VvudBGVFF3P$*{sTf>#B0>8@(fMni!7WcJ9O} z@up-n^?VGLT{Ca0#ik3Q^kj51yeVuxL8%>Q>ft&spDws1x{J^VH&v^j+&>BW3{TE& zlIQ-GI2^Y|)vNQq#-UGjyQ+Q;nuHKdvP=!NJVW(W<381@>fu7g&`lFH%O(}E2>QZq z?^!Fhxsw;`lJWixqsYQg`F>98j*Mb8pZc6;PTo~SY$l3~e_Jmw5*Vv7@9F4zZkj3) zOzWlNDHJYLbHgwl5|)nDB!{*-W1>kdQ#xK0I?DBGQZ*V1tL3HhV`+womxR)RS*=9d zXTmR-wK7OTPlx-Om4a~~dKXna7tCfd79bqz{?otu6`M`hT=g#V&{YH|2~00kuiseo zm&&tSD#eTC>so&_sS;1oO#EfEjaj8+VO!Nc%5#LA&_)T+dFT{1u860*~EnLLVQL=++fjyohwXZKN-vyQhxK!>Q zkk4G0(cGmS=M5~D>li07El-fHaw~2Fri_>qq%fAmv{G^hX{g6ITJBc=?Q(QT{AwL< zv5uF`8kR07K)%*X7Qu<`&fulO?j0zh`50tV^~KX0%25UT-WdtsT@2mu7u1e2kI`x#1b#dp}Xc+x&l3uYIMy0kncXFAiC7EMz(v#Rp!hp6*WezUG9rB z=}~+LiD~@@e?_Nw5(|1XY?No3IHg%MybXkPx%0%7*9hjJlCYzYcGa2ion358@ig9B z0zlUnR;i=|gW50!9sJ#H(WwFlZB80nUKgD#ft?#F`0B!Qq!@pmzdz%jj^w=Piy9D2 zYH$-W`0M@TwHAa!d772+NKG%M*LX)p=VK+lQT9XQUtu24x^J-e-J$ibv>-9YOQlO2 zDSlr1sVOU7e~;9XFA}~v`P``hdJna`{3S$T5SLtO_{LafpKpM|yBZqcPy6rtqfg^& zjTon37|a^se`X2@2GdYlu7P4xq@SGvl5niAAj@|$1(MJ6H>RK`cLv4;@V}@5MvEi$ z^ga;uKF{BnG7{|uv%r|rpPd2Y3=G2A{-e(p!cagT6LZjHoXys~Z)_#uXBnIGL=2u_ zvhrTz?0K^;8#}I_e2K`tv8ig(8d)+1q2Z{0%IU?yY)cdV=8or!>%zeP3wE7fN`h~l z#+%v_lWQJ{T}97*d1NY~PpMC9Xod7pR^P3umP=r|l&o?(3trTPhxJrm@*{nCG2d;F?9|eL9xGW^=iXX+kerx8f1Fd_V*0Os+fDAy`HuWRmLx# z9n(oZbh#`|k$uI~-gxC{f2VG{Xa2R*-MatdkI7GXQOU|`4Mb&pezn&%UG_kL8<+ay z$EGvYuSy5(Pcq5-TV?QNR zA~PLEA#?vYiDdj^ipQbhW61#hOX#oT#2LXMQ^H`S)>@waRT}!9KZF}3=tqh&iNm-N zW@z&)!iZfBl8NKP7)hYdFv}oA;~fgyx?G_J6o!;wqWEAQGwTiP@=P)gdg(Mhqj1ic zpvOsAL6P)XGP3^OU)65L3!s{Vr?H@MJzyO>Re=+(kl$fLGOaN0SPqrMSCz$+_A+y} zn0<%(SYOH~`*!u!*Ser0os%($E%Vu{I@n)w-UmI~a=Km|nY(4(cYo-3pQGu3o$Ltt&!IQBPR&%D zt+-s~mrIV}x<@N z_Tf}B`gz_Q6DYh-r~FV|d2N|f7rdaV{&?QLj948xv%jAvVhaOL+~94- z6c*cSPqle=@HKkOc+ci|PyT`L>~g3E^pr;Teoo}Np;_y^EF?hsSmYfYWel*fhZI43vxxv7W)9Yi^TY_C!hx*Q6|Xa-lS9#;u&hQ%m<|@X03`-+WG zu1A#LhdvISu8A^OX!!v;CL`UrEkMz35BY7YXABaRZKk!M*<&6$Dx63T#Pl-;uw`pR^~L? zkL_`94}t%4Qoc$jmfPTSE~>FL=-=j|Osy?u^q2K5(1=0uDAO8{&0FW8`ScGf^bJke z*kh7&=Me_G1&K>238bYNHaL=XJ=Dv^F~M9*z!0c;r8w8>jw&s!f&;oaQ>f) zak}Zm;A;8bZ&&K{F()rr=;p*CC_rx0_G*Z>c8`E02i$b6eP}wykm#|)e1F79efrx( z(roSWft$qUfIaTW_^XQ~tUVb+2hCDou^&;qINfZM0SutLfMz zIVTuC`5?6t#VvLdpFomB3%$OY8U5AdY9&0|fxfs4BdEm+NK(UO4g3aAJ19R|u~F41 z5HvH9^sqz9ld!MX$9}DgeC(J>WXPe8|7s&ETW;uJF1Rr?e@QdjR~&|{lx%Og z0L5{ey+|w7LwFQ=d^!q8@UH02^uS05>H<7={UD%^%n0~3%&BqZFhzoDqOWi6qa+Jl z`pS&;vR4OAJ@|x9BGUvS9V+_92tY$(zC!FwC$=(_%UZTF@Whv8K>JcvLg#{`IhQuB zyA4)qp@-X7;}%3wnppq*cb>6YVE}txYGkbTe5R~UvK!>yD1~_!X~^B!w|WF(BggcR zsyQYN&kf$;80k**?K(`+gySsrOkx8DF+rh-XB-+h$(dj+$J1ohzJ!bzBnIr^c!gPw zUb(k9w38Jxl%zAPWR6;3k}_bMLlF_1GXfQd(&Ip5KSvR7w~g9!=;uV*6U}jrRpM%i z1{=|z{VWY9z4|+U<;|O2KIHKl9X>?~(+QO2_oi6ag4xx>d)c?1$Hrpxv=Ig6z)m@< zv&ep1U*16<&9~bE2bu~fe(U@1aAI+TRd>g4Jz`DEp-apN<`+Usao&jggcXh~u+ioa z7>)Lti&Y{+GH;m;Ct;f(J8F)w(2o)<@D{9|q1M;TBtalD*^wFSBTg{lPp+9oYTdCn zYEy{s@X6-g@tJ&vhA6Csykz2mV(3_eNvu4R#W_^-Vm>xran*zD()-MAJLM5!`^Z(Q zxx}HHDDOP+ChbSabGl2uCl78{S)h0jDX5T(0|rs}(GAz{>;;zIf*}1A>bf{VTdBcz zj3{~*F@m+0zHI7~w2H!wZhanRP4LXGE6)wji4nmJz~-YAMyW+`d}BR7pDO@CUh zkI+~jQ(3074=_UouIrhWI%g_VkmzOTrZ5M{ETJkfGBcOEny8EG!CUH8ve2n8!<-=> zN$oiDN&BFV%1%;q!o1!k{C(LH8{?pkyPZPs_tKb(3Y$wsW!#nBUe{xHlm|g@r$09v z<-!2*+FgiP|LYs=zO$(au%_T7)CnaRlsLUx3ugt?2zRsL6&;kgz;j}zbx>dU@(m1h zW&`K_xEJX!6W6ST@yW(7aI)Z=W8JKwgGxoFLSmE^zxPx{x~iAFr%wBd-fcx}h-qKX zzx_Iryd#cp{V#nC=wKL`*@MiOpG|#)d9QA`d1Xp(uf5JaVtMU_i0hjJ`wP`uQq|zF ze}>dm2!)pr07FbNokEURelJ$gY7O^RV(G@7vg&KCk3;?WcUh>%N!#sfOWir9aV=I)4^lxxv>G9jeB3QS@rr7u8vwH*27US4W)25xy^v zHiM^WJH-JXToWg8zp;+xA-DIR{_MZ~TL*OxPAi zTuD~J@ZEp@limQ*mi8=jac|o2m6-Rh7(HUQQUfiEQ>)WBYgbQEvH3VVeO%J7N-A2i zz8Iw=`l83ZLJW~`R$$3ID8f8u#-ahmuvAn97|FdzUzE?pI{wez)YqD~d@5Q|-D&7z zJ|)M?`)l1CY^I8kOJW^psER6uH{hSnx_fxYs~Wo8nt3W!1cQ|5i-nF(cp;nd^FFV7 zdcN{1>kCGF_cd>L)NPXPOKg;kv41X!UVIBho{3R9;Thb6D4k(}?p3&xbSO0n^3_@6 z3~++ymwIeys?v{1IYPrj+s5g1wXruJ#1*>_+*IMF0e<9=~2+j?8fefXJ;^7^_Pf5-RA;<;c#M;Zsr zJR2)2FLes*`=A}p{P%PO~GJY@++i?b6yg=(m_Wul=c^;BdWN!a>X!WsM7&v z+r|EQ$3y-*n|C=o-g9qXqiNow_5>xzdmvu-0s}^nubkc5L%O>f8fk+q^{)-L>{YQB z5L&IvfN5?2%wFa*LfpHnR4gBujNd*LRFqCOpDLN`jgPary%pa8NO@OpZ@F!2rOoit z?Jl>(;O5h~i5#pEOseBi|%Vx{efZgY?7h@1~$Nf=?QAioJb zr4QX5=FSt*OgEKWLsYhe1CSXZF?f-;$M{23G%)P;Aa3+`Sq9$Nkyx_lBsVii1y5qI zw;)J|s`gTpught2)vS92rT?G()V!dY?alWuspKzWXto#Q#_Eq3?yPuUD(Peed`nzG za2zFa$($*>g{t0OnY6O2i7hLJk^YAF5|^J1_H-2EER*dxW>BAyPaWeS(~(=9)OQHW zM#OlrS)r+agGx6Xx|~YbUXs_RRtc5T`dM z)0m!BLW@y`icLJ2lCfL~1U*4Ex92lR>pNR_^?ql(NW8ux#U{{fQd4Y_zc}{$2K%uo zHeO+`aR%V%<=tUF4X|7Y)YgxGoXRn%n1qhbaBbdJrjcBv3`~+iRPHdT;=8@b_`ojo zQ$`;u`u-%NdP=<^4Tr&Zdj^=QMkfZ5MfXMKXMsMDGsYw;Zejl{=ER4I|y~JsO1Kwgz;iTub z7L{X(a*F*fAh~29oRM(q8ibWE78+|w_GI;>n=pmk@k}!oblFHxHxkDLez*gz1Phry zh%n`-0@5|K+wryvbcl>)D+fjVRS7CHF$`;qX^VZoXH`C}A*G1{v8$^GTW-C|jUyWD zTca1TY6IDaMpw2t#Z^~09{T+-!PW{Joc4DmCL?{NOFnxxY@Wfx1&^%nqWq@EAvJiA zmd!K0%DdK*S0ybnL4M&(tn2~AbQ}Bs#6ih2K{x@Z3HVx1r~p&5Pk`-iIbZn zG;o^@P{Jp}fp9vu-g^giTv2Zsg>%B(%(rrTB_rvQlT7RIA^MbG-_CxVPn)$hrd=(%mH$yp3I=Oaf8ExGYhsp$vpl`N63O+L1ezSi2 z=^5R$Htt6<97Zzfh1@T-=``dxsyF>4Sz5T}`X9QUm|chUgO&-ZFNM2Sw`|1CU`CDp z@jpqS(88!8vRAI0J9{>9&&KVCQA@$UyLezx(Qn{8iPXl-eB}GgWH}nUmpfUGM#C{B zj%a&+5~-@G#vCujw0(ZR_y%g@3>(^42_zX2P3x1j{e#~EL64jNsV-ZlgJo8Q{E0y> z6YRXyonoYoU7x5U?}I=1%sIa6Y9)o{~Cx)s8aw~D`^<@KyG zAu(`(O$k$`OBxu)8h~zp-4-)e;Sx|C%L)C2DW-Hf5qsaKp%E4;Kh(e?bJ|j_TpRnU z+`&xI#WOb3vO+JBuJn0xT1ITM1^%=rp05J4LHRW6N}Nr3jOA2Ul2!7JY;mx}tD<4dycPhCIEoFMQ+ z2JnQ$c}^soof)r`Vpl3hIJFHR%r;uw3Rz|)-|W)xk7tvLvNpAgcC6K5V{>?n(I zHdN({&9rrVk=RCXulJ}sJ`__wHXY@D^!NHS;GsA zyqbs7WqxIS|I^`xkAo}NIQ1)O;rff|cC+t}xu9)6h-p_k5eDspmwX7ZX$C%e@>uY` z6Y?p=Awtr_zo(v%Q+q@4Kf>9t@?!$E+&sJ;6}B-WWBAOtj2NRyMLs$Z)UCISH?Y3XeGk-lIC?n=pe zaztU)Qt8OBc?_xALJL|LcF9(d|Iq6WE5*2*7_srEGX_>-2Fb`$x8~)5paY zFYcSI%AQwTZW_uXjJce_@bee zsTz6g6ZLHiv!PgG?ThmCq8gJ|Tl<0A$qVxmPWqo1jSQGEqE@$zi$h?PwRR=50-Q=B z{N%e`Id5{*H^q0EhFx?WWnC`K?a+ai+~C)8(>kfuN2Q%}Xn^--k#97|vs9?#rUo_g zT3Qa?SRu0hlRx}wH{0bGjNA8%DANg%13K%`)mL25#XT<54;U-}U8AilCcuD&bHrAu z9yE-v2Odj7EFyP9&Gfij_#!a^ZZ^kQFDwVy%O4=45 zG2yx+Obw_rnt5c!zGj{d_u|@7xOW>I`%K5TX@VB@LUPLy!*k)={pb!Cdr795##S8k z3Anw9H>f=Pcy6c|8^fIn<3r7BqVoGcEx-SpO0GkZr7@3gyhZ&m?8Tl~ao9H^7~KoC z+n;~a^>`-e=#HT8I~*#$sfA-n^BwaQ^iHASy@BR4$gKosqaVI=l&jL>bBOP|yv|Q_ zE8@Ntu>d)W!aa9;97ljdKT3m)$M53l^zuUD83>!qij$sAs)JNyTFW?l-p!(NryWX{ zM8R>N@Dn_5$#LsiaoQ(Ycjck4ZmNQ|XYUFd-wbRp+hlH}9GiWGhz+v6e{7NleG@z@ z?zc7H8|PK3JVEs~vd<6DUY|u@IHf#$B4=~iEohC-hK}?8Tw{N@3UtrV9gN*O`^P9 z$g$tNh{iciVtH~+%MU3n44>6L8HP!YWq)1jx9xc%oaO`gh^ zvTkdW67A1S6y|yQIIw2 zPGy&q&zxwL5Zh-Jz-$dyE)Er}$Ta3p*T>I@sV4Xl?B*{b7_35^mcc4bNXp}~T?JfI ztBg~4l?HUDftgH{Ro6az5z)-e96HBFL@kp0Kss%PVB-Y?9qB#i9+9!Sb*o- z&Lv(vncfNNo<#78F9ZYO+&MQzsbkkq;;%XW+R)q5)5y25)f!e49^EsM+hM)-F3L^O zLGiVGCw5o%K)om*imD;j!^t^)`o|4pw-r$W4qhiDn_6y^@)nCi-wC?xMsQVH1*%%{s|5$cfv&P>pSR@Jy+G`iITVe&UF78AL&soZ|GH@AUBM$$~O`6sRuFv8EHVz;!9T zr>>6%T|u9ZV2CJRsv#QQlRNhbDII^FN~7Y~h=@Wz?Nr92)VZz71N&R{3xrc2V9Y|pT_3`=)JdfDT$P7I9B>&}v z*1t!khH-m>o-SGJP24sr;udeoRh)@NWt5D@bgJ`kWLgA;%iBH8jtvfXW|`_*!T-ux zB2Fzr$?45kK%xjMBtbQ*C;0=9b(T#+Y@Z=)w46BY6^@p?`)F{(IT|_nPXK znCK8V=K54UQN@WVxZ^#~iA$wJ#Xdm$JaTZlNrmYmK~& zk->(OFl=sLOK1UIl?f)4zm$~}h^+tN_xW6qKU1W;jy@K=gXh-6g~4|X;tt7i+ylHy zG8&Dm=z7ksPzjv#W>;VAqCN0Ek$1^2MTzfZ8|tv{3k*J5*7i>3lJiy~bu5>V{U>m8 zx{85I7!2&j1RdJRu}fW4o^M`1;``x~HkaF9*c5KqQ{|J%r@uq~b<;Q-(5TDC ze#GD3>dRK<%&GyhKr7 zQFv{4QgDb+03WCnVFVboCf4JHx8r;wTVsvB*R59eK29ezkbc>;cmQ8Opucmw+*O}` z-IlP&cv|Cs6|B-i!qVD(!7!lMf}*IWO1H(qh!bGPnZny|UI;*>zs6zD$oG@PCaNnT z$$h}k7al5vCSnsSdRO6_?E}Fce`dE(L@t~TIE4hR>U7-^z_VhOlvXZ|zO%0oj(T~{ zIl|8v*cXRUZHyOb&uaQL`I)a_&b5ZR+19jOB?~CVJsR6>NGcZEoXuZMfg!&8kNk~u8Zs;A*B;56Mu)fq}IRmFTZ(%k4V%}LExs-WZN|lvXNoGJKeDOM5`m``Hl) zd-dYW6sHy4y%u;uox$wl+gwpLIVSWIR?yWx0$4#O{GX@g zaz7Mp^|(M~pkurgZ|5WqE}C{DdN*%=$jdcqbgJbWNf0`xE_v&;#|-xQD-rMd7OT*g z8>(1dO}QP#VZSZkeWCb+i7aN6BZ&@_%&$;i7u(E>=B>Q(F^mqo+}3_6QR}h%{%<A*oS^jod;WR}$h(K0aM0W+ zkffi0;k@zjd;B_5aLLMx5Q zJDY5>^7K@WZX0Q?k*{p27ID;z__oFUO#Tt$*snk}ZX?m87wgi3o=jiuSh2;S*f&*R zIEL-W{%%UwTpZ5})A^Aw=O>L@NmSQ9NAoUkafT>S`B2ynasT zZiHImljaY5(NfbtKRp)LM>3rr{_^yY;KTx23$tGexOILU)}h{!rjqWbg@1QilpQqu zhilUkYrH_Wc-35T`dto6`r zUo-C(6cGR2ZM(DCS@@&n;w|m{S-;kUuO&O*Q-fvllVurvt>Dcy4`%+&b^^0Q&&36~ z$a78EvO#p2#?D97-pRBMCZvYt{-dN3+#UiFq4I&biAdhW>_uZq9V5eja`$UYKDKc%8#o0^!Lxji_r9X zC1%pnxs|e{co1`g`G`&p#IWyh%03p&%aw`L>gRIvGRV3=4rkI1X4_Hl1=`2baE7lb z36gVJPnYPH0pE|c`czyOCg769gMOb_9KPvNX=?7*>-wA%CFefH$=3g)#xWd}(SP!L zFo%g3qyj9N&hU~mz&WQ6z~RV5sP(x|EEH1j%HaOC5^sj_^rN(=lEF7W$DloY**{WR=83 zQY8|apAI$JoDT!=ILQxM_bZvL(rQoN@Paxgz6UoRnpp_rr$5I^COq`RV5yH7`@)boa- z1s^vgpOYY(@tSL>lC0=1=Q9CH8e~J2e-|S-T+^O9d6XF;o9wsW(8q^r)k7iwTH-yv zcM^y`bX^8JWEhPwvIF!lh+W%_eCtX~G?a=%+sgt1(gu8i$_O|U*gi_=YrEL9Aw3ib zJQnbocEw{IOXoMiVG=^n?kY`T&k|A)HR9On4$Lab0{Gj{P=NPHcEHA@7BS?pk9n!{ zZ{Z6k@;xV`uQ8z-T6OKVEw{Wwyob- z3e#)56@IHWD_m^1UTCkC@yFK>D}i;_J@%$!d|00fX7|8d+$r^j(<| z)lE;Ai4MtkC3sc=y}jDTK#|Lq$w{dBXDNmBwP3oWI|DbRqT+XO5MAg;ePQhLJ;K;0 zSMCZw12olJY$BC}er9Np9&g@I>wo^~n>Vt1D-ZqHaYygSCBu*dO# z=3Ck2or87K$kBcL{uh_O_(#7yeE$pUKu`NzJykmOU;Lv#v48kw&VS^K?|&hlSjYS? z{`_w{yL|ioFYLF+d{ex0RJ}(O`2H8py4#YE-6t&O*Wl57{~Jrf6y(`VQ9lZCd^#b$ z#ixJsFaG>bK?Fj0cz8#LrqW^I|9B@LzBts{cg|Ce9+ixYL7N#qt%z1al%GzhKIM;4 z#@=4`^4hVkE64!7+kF2Ur~TnKI6c9wI}sh2{#q7@cW6c~anFkIQ?7o>7Zcj&?|%VO z_S;ikw-CpP097TapKwmo6{tB$bEV>MtnYvG!!N)8#Yqc#Z24Xo=x-+sE=~EvFMs$A z`+jM}rRyD;GEfWcUt{?8d3zSM;ITWGm!iSe|NSra#Sgy(Td>S`Xpl&LWY-8ge3M^` zffE{iAer`DMfeHrohhK8jw%_u}9HKuKfANq0Ea!LS3Doh+wNt$r#dTHU;#W^2 zeGcNG6KU=0eEZH>gM1_1V6-=R9P1k5I-*m%k;SQO@PV`pS`}Y*sf--hjFwO((zlVh ze4#q2%1p$0fTaKYPj?)0KBc|uKR_ceY4#mQlCSkucgk_L5G-vdlW*DJQjO#qGZ1oi zUYHM2PwG9t{1aQg;!Ga7R1Ct;8z=Yb0l2Vo(@!Wp^%5O4-6pWLHr@~=o~ftVhIlDxqc>U z7+oaBXK;@JUrci+zeHIyd}8S+)NM^Xpt>DmYJ@`9>bfx%EvZ6KBmIjd`_a+n&uX!y z!73rTpp=itUo544<0ymjS7PZ4O3J3@i^5nLx}dLH>{AWUzbH>os7HJ%D;?$O(&}cW zx|u-|4!>9@DrS!?d_Fu)S|{%Hu}*&B(SWKB16hfgfQYXhsDxM^*#vreIOFY+jk zhF`3fmXv*_+fd$Z7bi#@B)WX+4Zm2lN(eUn0uvSUe^bKVV0u{QoQ@Kn?UmxnnBS*Z4*dzpwl5C&Mq6TnnRv zo9hzO5Ikhip#b&O@riZFslD>~w<^ebac;(|OijrI3Y0f|VjZx?H~Zo!0DB6dn!c51 zanpq%=A4`2q5SBy9n7|m77WL_!XMQGW6`b^#(yt==BF!T?A{V7Y5&f7Z%avwUzLP* zkiXR{@;gU=iptHmj<{Bq7aCP_Le01D9D2zcMc&!EGIIfIGUIPeJEN$+GHEUo9Y{!v z>yIQRpPZzRHK@L~`wx0j_1*Rf0Y&Ph2-TVpjO>9{ZPJo2?vXnwVlZGf7}2e6TCEB0 z`@c76+cMwJPvvaKi7 zPMdc6Sx*pOObAXZ3Qb9L1vN`tO=`+}(~7XwpPCRqd&f+-{mh_lQ^=Qp-ERA-dlHg) zbxUy%O@vq7#f<9yvqbaC`gd*+(v@3a1@qg)N0)s?he|4K948AMZn%L+ata5l6NbL{ zh`klu)pt(dyJ6(`9~iw(K-#`)(pQz+7--AQIv*v8FZmF zoxIL@Ib;^&XEt`jM$9JISDy1!5=PpFrlNl9`OpLSTi&?xYOZaIs_nC@$z|46X;vs8 zA3EZ9&A*%cs9;4;DlD|(O&EXUc_LZYHzfgp9o0U;8C3yTCpQ;gtgKB$lsP z&k}zTK@GKg(Wt+A0ja-wF{!_LVX42g$mDlZaCe&2U^(d0N}9JV3Si`{iG3j{#&jxM zEl|O6m0N&k!gE!1{W+;Bk@k{&U8<66sl|BxG2JM6v3b(u<>OcT^cgWn^C261(zkxn z6WT$H2Z92_&v~ZS)#3mDe#H0t@ueeDechmZ*;H5aYFc#Lt@Bd8=P%a({^re_9b-gb zJ#k+>zzk99=7<)fFyw zzCJjqWVwbKxG$awgq+f|k3b;Sp=b`>K~Ocs_wK~Z#5wayqfp>M)fLG65`Pm-o>5xN zk8x^=?tN8EHMhk2;rFyv_K?&5yIjxEfHv)et#4!Nhn72;`pe3%L^^pWRGf+Pp1#(^ zhI0Inwu+Yo0h5ixES8i(Mu8wBY)TLXuoTvGjcdgp+@!!8YETF>OT&w)Y-VN|mxwqX zl;hZfZ41)yOq2#tmPbKsdCAHX6SoVE;N3k(R zHHduQv#!N61v33MRp0v7fBF-x3#ga?!ou)1O(QJS3fy0?Voc3IVXEtM6VriU)UzUIshd5u zCH^MeS@8w>u`YF6xbODx_q>1}2`e$^^3iQ*0HY|X;;?5F!JJE#w+9047-i9-wmn>z zJ|jdt@jCd%Xr*7mZ>*>}{Vq6X&hWdF)3N=QP2T{vMM|ijpQDVUr0AYudFGYT9!+6R zQn51YtCBj5L8?v(jRl9_jBgj{F-sNBqWi3k)($dXqCG2O5LBcX3GsDY_?aI0&l3+d zEkgoA(;zbZ%}|JAO@n#%k7&{5<>mGlMnc^G7MchCXRUsZxmYCC5_Q?Us+_jUtNN(! z1#JC?f|uJd1Y(U&=+syV4DOH+0i-03oIb(zoQQ!Di6sxM;)4LqRTp8#I(~rhQ=edR zrHRiNF9Us#2%LvPX99J4=8Op%|}X zCrehukz9q2ycc}qcZvd#H_}N>_w3MA;x) z#lbgD&}=QjO~E*cSDBLqd~Xi$TM)0}>>DS%?5)SVVfHMKb-_L&`+x;PB2=OPQ7!0O z5`r$+Cr*$k3O+c*q(E?5XuB>7q#-JUS-{|FQb6u9vLy(j6OW8OuFP_PNPd6+7lBL6Ge!_K$OgAMHSwIM0|G2!x)fHfFghR z`>&;kSND1Mvc&f<`XQ`grsc@#eYWKs6DTr;A*2=BIEsRFnk_yXYO4gs_CsFr8NSb} z&Sx-DS`#;gxfR^zLPA{=-bmb?B)hj{m(uA|m98E~X~f9VY3?HsV3q`lKE=sg+hL|~ z)O?j{OQk2qT#2*TNI8nN~~1O2ldi2j@?=7FxCg|3;5KJDw@Nf@rulY2TzRUE@6 zHImZz?jqqlMR}!iZUvsc%1rz$oaE|FOtIa-Z&pl>01HgrSHkj-JvW(V;0<5txG%Pd zFP26qjSeTdbbYU{JO%LVhdWXEchTw~3#R#ThpDoZ1YUu6sqDSn{DV}|)lbsSzcSPU zbQU}MCo{=UlGcxt9Fv;}Lq@W*N@dJ+mD9BY8{3Vi+3U0WD@0Xh+El_nVJCExX$pIP z7_CWigd*SZKI++)++~SMK+Cc6B|og0lU`l;O)yV&GJ0P_J*BF0lqQMw5C7^I`6s)< z7e)RttA#|x%Hg8!0wx~~u9=~2F8(CzeM!I5SFqy#DgLX>QP&*vYeNuhM&LBpR^AB3 zbNr#;#lFfWyclH9x{a)1NZ^egr!9SV(+0;?|@DU~|We*E;en&wJmGH(5RdY2&PU?M%;A6V>0N^fv# zKmA!P@tXB#WLFSJ}J@B zP?L(Mydj3YeeSpdDqC*!C1uzv5xIdo3{ScBoQZTP~M}hSzeJ`uOQrKm5x6;aA5`e|I}{YqEZz7Yx%{@IZNaH(RB%U974< z{XII9bj=V!Q!2ph{M^5qdW)fsIFQYQ0t^Y!|0L|5VIr!hy~VlF77byNHhD`xf1(!D zcKhj9Cr0H@Vj#I4spNEh4`Xv{O%}FRnI72VUKm1n$(ug)B@V|kF)a!LLY)ZeHaVJx zoxvMND|2=j;C#E(qf5QrGA^HpAYy^r2ZD1G;uFL6!>^j+k#8pEo;nS^iR{q@ILq8G z>B(a*xXjdza+?bzf2y&azvMcaOoxQbM@d7al8I78$7Qq@^ux74+&Kap3KgB0Tv$Tq zZnvKdMle5q{A`$RnYXAWOd4r)1%pVm_L?hO%`tZ|a+!_4D)N13<9EZ0vT%@qA$l0M z#b@T#EKqe};|a~v2P~IP9}!y*a`{3W$LWHa_G}vX{s%vO^Tx~Qr9cudS;Og1%bj}D9)s{3XGpWq3;U$_wsXzIH{5NslhLSbz9^w;itvks{bCuqRF)c zUa!j%lty36Ah@TC`mcFWKeR9QZp&q^FAWS=Su`+?BS*Bnlg9dj3gZN6EMZ-dx5~nS zVs=|Fa{2lmII*`1lfEF#CKz{*wT9ZV-!eBdj)EN%ae8qGk)$hMw?NSA#hdrEv)A>N zI6B3aRN{rH({^X--f~%qeU>gDghZ_E=RJ+R4P&FuP0>oU0Ej?(Ona1Xq4a6-CkagO zm^h&BAcHJjn)o=RPW1)a@1YO}4oh9Nywa#$B~Wz7oDWtz$#9o9=)GzmrK97Y35O_w zZjBQ~Nsw}{k5*wn9sc{@|Lv2B`hv`8iwD_`DLdqzK>-yJ&Fs9(rwJ6jA+zL=;ZA3k z3?~^xi;wpAe_A{qax1eXL#FsvonEHY!pJ^fF!oG5=rK{AFPQ^DFN~PwQRi;x6Y-qS zRk5a`D~Yb_Z(#*sDtU6O3j^jj!Epb~-WS_l!CML@=Ib+LN`5{<3y%2-ReDdaPf|GM zl{|m?)wapY9dm9p$`-<~a7L>OmdmE<6A0QKRb`c!u}_96ltENr19cunZ8Kp+s^V(- z3H1X-?5VDv7{SeZCdpYzj~26;DkWjmr+VxuGPedsQ~9`CenbP_me&vg(<}v`iVsAl z(Cz$Uk3;Q@*%Zfgr~Xa0LV>@2X7{m;R`O!@>Cc&ygT`ioK}c+sViCOe?RrBTwu&3T z1^OSGJDWu=#whLo0ZFu5GM*KcMHs_ex{)~fx}$^Dy42Z0Cp3~?LPIuBEg{cnxU%Kh zN-<`S<&L{Hw74B(7s}(OU!RH>OWm=kK(*I+`d&Z#nKUyFhSZL6Vy3xOHo_sl9#uBl znwKOs*6bciE2O2cXBE5k@p)mDC1wgqGsUIZHwMGn4<(IZi)Nwp!1MHUnzkPMzaD4x zBOXY`=~s(OY*1mQ@~oB(_X@SVLY-b!WhYH08AZnwrH_;bFOQf??Yll@8{N08f7Wkn z?Y@5Qfk+i*B@7Gf7Hy50g)Q|dhjp~B2q<3*I<=Iw1}j{gU-X-S=X8GWJgYKo49U*} zsLv_rseg$e`i;0K$Fb{L^V@f!vzTLj%-N2EJB>h4{i_LjQJf~3YYjF*;2IQpTUV85 zowJ~S8(}iDKvCkq10^@i{Ky*bn+-y|v{Sh?)GGs)cbJ7FA^-Lyf&eF{LBcmk+)1RM z^E7y|mnA}v{|@vbH_9SQ?hm!Z1)g&)D4E@s9%E2~`kmN079R=2C&QY>5XB$c@{gwH zM_5qlD15gki8Fj#ck2tv_teFis5|zfihXAz=~%J3q*=z62CfUrX~Z zVRO$rCKM~%qB}a`jmZmXC(S&z*b6bj-1phy%!eg45)NK#am~1VzPDC$8H?v_!%)OV zC5v*S*q1&8F|lJa_92KE5i=T>ukjkwQkdy3vLq78cp-O%G*TVljJSF9S){r@W0F15 zAU?_a3e)vr62x9AVu_fWCZkxw*o{-)pc=m>mqr%&NSg1ir}878WNJ#<2 zN6P-IlNWO*=F;O+^H8JRvD>CL-PJ72wsM$r`ai@2LbB`W$YpF=>#M``ecUebtB#`Ia({2~%|)qn z4i?!?Ui&evRJeV|Tx`WNug>2RgA!tW$D|;hN^n{1w7#fuX6ZyKnRKB@F@uLnB1ZVo zqC%0M*%~L=-gFr8eb*56u)jhJygs0v59NuK@HPOG{h@4_Ok`W+TY7w)_X_1#Qj$5M zR_yBSmQY(iv(-K2!G3~Px)+GECf~~4rh=7#0OVLwdAWIaMMt4iUSn$-ZorbE9ns2- ztt4{PF;$>3DA-;mebl*P59OsTiI56@M|)p4^|QFBXHg8T$pZGH-_1^91E`8EC{Rah$pc(j{!GP&w5+{(U;^{!#U!{?iq)x07rAx%yb4~0D!4GF7e5cSkW+T+&-NJz3(~<(1 zx#%o2u|Xe)T|&p1$I`wQ^(dXTIKsgCjMO_S@sH(cNPjgD_Eu?PrF7Ie7T7ElEFIO| zw*JBqn9nht)^SM6WU%s6E2X!*002v{fh-iP80Hia;MmD{%t&)c4C&E4(Vzt*_yZ&r z1Xe0nX%fFJ@Wb-@Ch)G}VSU@LSH;IBDfk7WFJ5S+bS=lE;q&T4!S__LN&4(LOTs!_ zD`*sj>=KeDiYXq1b~=+2{az?2Xhh$(Hs4Ss#aBfL9s!8W55(mwTYL6Eg4GLZBUsz0KS`|8vsf5W29KXgv5l1Ghr~UTw#5mXk-Jkv# zTC7|J(eDt=Mbozfe6akDmDp9-d~@f@OC=P$JVD9jFZ(T{JvX&PpkYqI)UFKd;Z4WW zH`iOeR3*qV!)$KrnS7^Jd$xVuSD4eP{=xH(%L>S1A0L&b&tM%eys- zq}`MS0~3B^z29y;E{#0*{>)}F%+qe5^i)c|P0juCbic~y`J2;lU$%1H^JSgYrGHEp z`>J0x(Kw`n^Zz5N{K%;!_46%L+CXpmF+_Gbl|q%StiD+qn{HDIYDqtki^Wa8y2j!r zLfmm|N_S_8+^e4Js=i+Y9~+bXrg;@kWcs2EC93iPW)n7hb21i8PJ1qXoWSx^NmzLW zs`G^-{mj(5nCwR9Ck?}?^45O1NHLhk@|^M!6@H+t%`!k0XhcZU(MA zNusY8hEm&5Q<<=W5$mPO^^HkWs*g+N2)RfKmvd7e>lfLb3f3m|D_~` zI2FI`LGe3n#Baap|0T)f>o)7Zq(*%4ru{qR|8-mU?|M3X?biG|<^Ppi?9ZPzx4Q&m z6`=IB`}%z5piMUoN&77O0Ct!@O@dkXSa0)L9d(oaK$j?Lq`Fmo<%J4;QG>-Rr3eS{ zN-@e;C(3E5d|sITdQ*#c3;`iW4R^jjDg?xZ+&@i`tG7}~0u)30e&#)XbG}KndeCa7v)#suWkc~ZT#IuH3WpSbiN%4fb ze@F1z26KMS-KQr5%0(94Yb)jfWpW!PUjbPi$^DogbMD$q=jrL<87;9LuS@KQT3q1X z+xx3PavH_sM2gcxyrLiIW6d;uHzFV=l)p-RISsrTo%$Nc<`t}!(|U`E(bTZ7K>#@<#Cq6%J=F9%0`x6FLREfMV)@iKgBc}~9X zP8YsCy{D~oDQVo$Soi!m%{+Si3t*tX^3dx1^jLRJ=w-g#DkM(e#^EZ%kZwNxHy6Tx zY-OBI%t9o;)R#s+=1VERWpbrPlA1(r;4uYL=p=ELtOCj|-$+zZ=*0y7Nx;Al!gR$^ ztLQv~b|stsy?C@1kEy0b*!28xh6re5{!r~j&AW7jZb8X|Ciz~tBC%hG&2tfU7G z7e(>$!j(h6jL`R)xsxQA;~agV=af$P%2d6KZIhMvc35HW^at(FLHV5t_Pg7jvBj=W z+?p>JZX|@YI?)?~HxFUr;x|m%z=h<4RS<-hyiicd!tNy(5Jv)oMNx=ZKwkmO;}q4n z%?9pJn(&cZ$;owL^3@!>UCI2mX^I(@_}psJB#f|3f^Zc^skLbe92M9|^Ml-;r+!4# z*%VxS4yd~G3oUtL7^n++#$_*g1P?f-FC}B4LS{xryJEC3_RzR&<+AFzY_Lt0bs z+{t{Gfl?8E1aT}WSW`c-N)jg6yFz2x)XhVOsgG$OdlM!kgY{M+_J8HTniso*7jf4M zlWP``AU)bbqNQa?igke5lVsMpz=^^I*%pL-q{}ezharN9?j%v_WlVkT;oNX_GCfVX zXpVI!<*}Ax!aWd|H;tL7Yn6JjrDe=p8 z`2OXDK}s(i*UO}==liPcIFJXr_?1pZPRR;TFxZRRG( zFvsL&U-N>wp_RrRRZhqhol%}s|IhC#JLHfok%4G@X7p2yJ87mfj3oi0=i<9#T{rof z_mC=qp-;ylfAB%aU>k`OnSs}SoBHpZAq!=y+4%1Sg|ujTLZP3AQ$l@eM~}$AsN;EN z>Pla7O{T#tyQA-W(X2s3R!R0F(uC%zE7^ZOV={+2vpixiU<|2AXUKq=t&|JHJ7<>2 zGPU1k{v`Qj;AJ>grt;AlAsNUBsrmt>YNpV{haoU3&M2Z{Da?s?qe+ z%z`p#PbSu02ag`H>2-_}hOVZ1j@nd`TfFdN#NW?=`g6Y@%23tCZo(;C-HZJb`*eyrQZ`q-)I0s&1j z=D~n6yRy2af<4scKI$`huT@-`c($sa=e&~0P9nC~wfI0bYpb7uSH|zdK)#=IfdYiK z(&aSptwo8YNo?aki~x33*kx)Q=kj+Uf0s!SUEhKMb7WLQb(~8sitH#-ymn1q9B+k- zv9>whP)}pu!Z|K^2Zh$G<3VHxq~)hXzB$T>FLV&{CYl^Qn}>3{raZ1C9Oh=^WOfA3 zNORwn=NpnCdP|aHv2%XTZ;E*g;p9#`6vLjmIpEN0Z_4_%@Ao99LcxKJ1rL>-d15UB zGvCfy45G_H3_VLc=oh8$f`{NSLG4&CmcTG#6x)K&!JKQpYjHEm7Y86p>?l!9K6aaf z01MG3TPlmK#!uB?>9Tt3U^Zt7LY2QuJ+vWXf0?8}D+LYh)$PI>$*@LnmL)!P3af4) z+N(WmF~cvBA4qgR@p1jcvp85PGvvbJO+q`7!3|V7o+-D}D#IGjn1UTLPc7_nHCBid<}P{NaRI=n!dkpXH@1Wk{A zYFJPt6q`|e6Sg5#B%41Z9leKfR9`>mjLMx9^<;{1j&X8uhDM1c5Ch8CxVJ(;a#75I zk9~_jps`|JqoK@1d9zuEo*i-p`56je3tXIAI61vUEwlEyKHU(>d^_{i+E^URF!2JL zKd`^iUm>%euT3%I5p%oh@gZN zr%(SS6%we1`g6ILYoJFE+~M4o+C54<$*|W6HdSne*~m9^>O+-72h5dQ)-&CMSd5;i z%dGu@b-M61n?on2ku}}uB~Tu$amWpm5%%2qA%z97MWdfzdF} zsU<9pGcT14Uw20#Tlg?t>O;tu(1Ot1lQ5?Jqq#?hdx|?aWmZZso)_PhO!TGv<9Acf zPaM!0&2)jPNUbO~T0nT0>N)QYMM01O1!qAgx#blQEPM#LJlc(lFTlFIyuWP9sIlM#FVa{e%?Xa8GCyh?5LvQtMjah#d(OjPTPb_h!Vg8~@2XkhFk-U|y(j?P=CavFM zMp|2HOPd4VM+yx<+?K~e?vkN}HFmzqx5e?=uOc!ho#T05w${J))7L;>?x4MhJDNoG zoT0i(r5_iTWCwK2f_3 zTk`p2f}^B9ju8XWMUXnA(h^FD)PkZAr9m2+ST5PXN{eb;Qvaf9N#GmcE#h7( z6^_)kTLRTSmCW}gY}A28UEL*S%jiPd*SZ5Z6Dz=(AcB@k139IM&Qj1XFSTS-bWS-F zp4kVcQ!fw2b)bbV@HGjBTMwi0STll}pzx1k#(m0$0}MvQ@;(7Ty|c`Qk}% zc|n7+_cC2BT5w^4k;26Ft?{XsQ)qiVj0NaYnpn)>vhKD_rYkV8@-62n!_2LJ{a@jG zOWOmB4Mz{1UF)sGxE-8BG?~=0>n$ZB1311y6q8-Kxps%r?g~kkbvZ!!Id=@lZ{InM z_~gFlL_2MA9rMR1=@00_r9NDF8a~3d*Hq(?D)Rw#bW(-bUI=(SrHm?@hWYE>OM12f z<{aI#>JHm9v9dq7!4iXLWN^qYZFl9%Zrw4>#+s0R0yx~wh04;og^cKYCWdqd% z%%f`!3!Fn-v(*#A46K84kFBYackY7GriuZP9sCdB(gG0rsiMyT#_rAluw8z6ZKS>Q z0~F+sJaA7Z9zv}Euw#`4>0&R^kqcyF*Co1PjC*&Y8)Ds=>lhrcDbmd_ePt>LWx;fD zFrNt0UgDHG6%4o;CWIG#zzO(p)7%B3V{-+Vgq|IAV`)X@7&aW3st+4p?o+OA*rzb~ zuE*^&$S50z`C70xFZq*X++FNBNj}I6&PjfLpa%b>LZzQtTb3}N>a{ScytSW-T~6bL z5IkFg@Jzg7)BvY~BPFQa5Rh!m^`YA??{E|r=eYYJN*BeQ4Agj(f;r9Gyu6g{C~fcl z@*C=h4oCM&&sD74J57NIc61wf@a2fWak$i^cp$mWo09Lc2b_W3_Bu8xd!&*0s_PT?7wzZrq?gxl;sprybA$GUtl1X`MgXl-w|DaI+Y;}kSD*w&W{O<|-IPZ6S zvgnHDGCy%&l}D)Lk$s6g6cFe237cXc<072)Mb6k6n9@J92d+hT-U~3p2b*~&7~jLg zQsVGhV$yt|)ihieF0To}AQi3q?GGdMGW#NcjY4n0tOQ=K{gna zS0?vb;dJhEaf9;IBu^GcBp8^`s~jA1m>Pdpm9-Mprn?AH?nuFhAiPUMA+GX~oN$2j z7`?L(&*si_>fB#VfxtQ`$)YR~%*q>WWKCFXX7`cP9-P#Uvv@xF13}oYTNrfMb6O^j zub=Y!vYoV?5$~L!s_kSIdP}UlS6N+PNSq|G-Ti4|haY4%>VcIcD0(Rb@!}G8U*#!f zluigy?Yo?=K<|gmL4A{aARcBxx6u>o=w&^WSAFaGc)XOZOY!DafL>;AE;V0}s;%mb zzt9=207VP(%LW!>SLlR>R>}FWEI@+p(MmG3EZbXPtX78?FECCA#=SPkNZkb+VYfMA zIxv+_rGT>q)9C~BqmfuL_JYS{PRN*YrVI^j?x&n0j1ABZ7!H2VoQVh8qQ{-;b!Rh& z(z0Y4X0d>pC-K7~8#Ue^G-`)zc{(UrPk4p%Dq9tK9O^xm-lPf9&;;}=-}A&P%b8Z+ z_v#gPk?gdtzsw{Ym`t|Uai5Vq<>lo%^3Y>V|4)WWKGoH$YF{vL5Ka3TeOY6$M5`Rv z%wp5MWwLCyP<1w4b0I)pgM*E)hlXShqR;oOhB-a9yq=(VU<4wZef9IQQYM=kMxf;; z33U(u(pY$P6c!{D%k*8GY6{u=0E0osxa~xvAJ2-}rmYiG?mNR_bEIGa1qu?M?@c zkHdEpTy@RX4+B@TjjY(yY!hb)$0t*lBF%ycPxro1`C>JO^RMeQ#&2L4(Wg`~jIG$$ z4Ab$!l>2BFP6V160u|v7U!^y4OkCL7a{WX4K_6i54iBHqEhP#K>=m;^i8*Tigp0hq zn@^n4|I6Il{K&Foc|y0UyQUdm02;AlfrIOIi0a&qnLZV0T2e23kiQn&- z`B#Kz-ut?%1gckgGb7B79Wy&-c8=LOzZ1juR*i&4;0=vHcYz9|#4wVF27l4STren= z>$7y%p)k^IMMmHcZP70unpl25>x+D`kZvXk4PJTKf9x5$ClfQx(tT5ehF2GIY$_O< z3MTBE7kMv4JJD@Bb79!rjovDx4j(EpLvp{*2E(Dj@Wx?aROM8>#r{_e|6%58|MJe#v!K~jE!K}K_Hvc1H9~1@n#|F z-rY!!oxYd#C~|xP21^^^uxH@2>6x8w7HU25`Y7eqAhC5r!`9$LV|OSDYX5U5hFuw>0c+r9D_Yqf9N5~fqZ=9a z2Y0iOapf7ai5G;qL)?toTd(pryyb_jpR9Z^^?k3I)9y2Z>`ME!OHX%27jU(mxNnLw%fW} z)E!?!7ZqJpgh)zLJoU<=H8og9TEDCkh!+Gr5TIL)Tujj)j2UM#oqqAQs(#`e>iVdQ zWp(I>Sc7$j-9@DUl|t23`gw^9DKp2dRTYe`scNV^s@vm5Ldwnxgl}GPd>mae8lfW2 zC^fVMIa{w}FFB3P2Y)k+E%inMWUSY87L3vZ-52kxzT$fx`*<%5w-32PWeAebv!`$P zM1a~bl*(i&4C524x2Os+^4+oOmd}3euFux1+V-L@B+2(UnT(lOWq7I?Eowr9e2CD2 zPbNLZ4`W4d%C7|`bM_p(ka@cB`+*XKQ&I``red7%=zNBnw>`pyD-y9H0a@}POG@|# z45c)C&db%x(V{Y>$%ix@j$o2c^%X-X)+^fnq9(-2hd4bmvhFf8t6?GpWoeCu<1A=E zxPpyrEM=ccN-2nRQ#b2%<9S^{60|kvVxA;t5i=M{WxX7?(X(jL1A$S5j2$oMN;2Il z8Bbv;94Zsrr=E#*Qud-J0=)^LBd)!ggfwZCyY+hQWnToq4V={MJf;05`M6$DyMPQ8 ziE{|4YZGjgM2_KUPt+~x$(F#aeAVAAheIpv3qp`XqJ$=Av2=KGCi~#Z0vNQ&xfnYF z-$^&LN=qNFF0l`<)f~J2H-GT%ow~F-GcCxFZB0Uj$E=!z(-kx@+X@5yAkF~jl>ST9 z)F3kiDVnKc2FxO28F>S&5~Ko@VU1O~toTz9xRp=ejQkO>QYAbMR_mUDd(R5}Xe?}s z^@{(_=iG?d1VcZbvi+Wq)=iySba32?+lnP8*d{!RQTk5oc zeA0?TE3E}SHO+V!^JwCc)b(YX(3!<$@R*e(baOU~tg4_KzVLD#W@jc3IxqC|K|d<} z(xS{*)&=V>R86Lpc+OgS+FJsY#Or8Ynq8WNs7JC7-z?tVIhR+U__ z40#1Z@U{n=2Q8%}6<2X0J5hORk_%&^aD)n86I~6tcQWA&BNBGR=Nye9&b4~YXQ1bF zhAegLSRPV!Dy;!3iWpD|lJvGkDv`I0(fCx!2+}-xx!1iN+qD%ZHseXBq*05cOEY!S zSKQ2LuC+^(>6X9fjS+EO-;qm3@BzUa`QYGGB1Q~M;&Aw{4aZ&A{S~%?`9qJk& zdadDTeH2zE=iW(r@*4MT#fED*b7wSvZVSXT1)}gZMj#R0rPaU@+&9(b!7U?i&4wFn z0(H+$M&?<{g2A(NxYn|129S|Ev4~gr!0eXkn2k`l^VeOMB>oXP6W8or$s z?-KD5T@-IlEWWpfZ_SlvU>TG*^-kv_>t)uVPU}5A9LzKQfa_^QcG19NWGC_D)l0Kg)%g<-)rqC-r zYU+>4axpX?H39i*EJ%Sq9I;@P)SsUZkot3K4WFCmK7Czm86=dPY3?n4vtHV^ojwxH zj!_GW*@hwMzEGNF~`)okh$L@~{-vxaKqR*H-9d^^ z+0NA(zkX%h|NS2^1wB5l8%cV5!7j}7jk`|6qc9q+tLwt7dCi^~3~|E&)X~A-8lnN{ zl5Z&pmUEfWd$hBd0np&iU0z^q(^X{G@PxA*>y$yU#I9~JPn@E7Oo*&LE9F``!GV+^ zriqydt_M-tr(&MPZVG=3yX$(iAsiy?%Sxd2r_s=wzLzVN|c zw=J1~5_9(IIIrN&$H+Afb#;|Q*W@*m!*gER6XZPckdAyq?!I1*d55DsTa@#cRHa~L zmKk)O(_#REX-F}RPp0^IO4?Tj&n=3EDlSs%?W#h-JF(`pZ4@}hoP|iILM2`mXJ6s% zciB^xCX0gc;$A??>bzomvumiJ&INwM>%ep04p{O^PM?@2`e$^0#YF@=AFcbY* zh4!}Ing{gwP`@lnIfG>~%FV_gqAZ~;8i7y!EFuSIA#*Ufn9sM5DXZaDk^g9q^*R5cy5w4 zWL`M3%6_}$lM_=Q8%MCv<)W|U#7)}XOigStA8pc-htM_T_L59z^msoc`Ctwvu96yXC&G)sCg8DvhHc-sI60nKl2ndO&<2$s^2uL>IzLdiRO90t=)5)!U*6Ea0X1Me z_@NIH$`fa}(g?6Ufdxq#nWaPg^q6?iXqIfJ^l$75D-l}*XMDfN4Lw@%4Z4|-Ut3RC&1`HZyQlwPOm z^PW(k8U&r`hDCQta#3`h9>&PbB%f%<3)1_U*(^!kmR_eCiX3C8dkj!n-gKNKyS$NP zNW{#n#;>gv2l@e~Bs@9?M%S?o*OxlBJv>TaFQi@3T4AW(u1fKOQF#M-k|w=u!;B|w zH5tdit|DaI#UrU12J|mg&vAkILf$#t$|rqf-_tZgMI#t;yD^CmYKw26eK*p+t`(_T zp#{BcSNFswI5he7TILGin9-0CY7f_urv{ zOdSzchG!m?)J;)w4NnW_W(HD1Oi8dp66|N_-E}0?m6en^&a(TqXd!WoYWg)&?OVF# zNLN+@=Ztotc#>ruM?gKpZq)FL|6PAN<(={`WnCq8&hW5oR{h~1RmGE0nqF}1>gPsJ z$s3mBfJAakUMQ{d;KvESsb{Nt+aC>@{)NtU#QCPKFV2iAryVa?nmX-wSz`!T4smP< z&C5*0+eCt73R+Arf^Z4D`w8nZ>5{58ioWU1@du1Wrr;eaGV+13%qsqKQIEz*Em@i` zriaC@(p2s$hWDUUkrxsyF{iMo&^Vy-wbCsHo401qTA+zg{&m@_?Gx1P)@3jF+h?>m@X|vmJ9C}Vt$N)z4=YA zBh`2aO(*|;jZ6QZdKD*D<_e)k(PHzT833qi1@>rpe&B6SCYuRXZaA?s;s~4)-kQ8M zhG{$WL%Pm*cELtqr2iXzIMy8+PW!fy&{gQVj_pIEm-ND<)M-2d^gAo;(UK96Cb^z;gW{gf1g$RjrLzwh##7Y%V_bpY5dDS z{1xGM4`9-E_~vq-~oa6?ZV+ zOy&Uw!8A4p$(Ew}>I5r+6iSNQrjAs*ECCl`msn+Jt07d4~FL4y$t8wN*wK`9l$RUI<* z7u|;HvIlIG?~Zny)*}#$Fr{3@{{cggyGQ}OF0Y1 zqDMzFh8jK$5A1+w!kO{pEO@egmJiU55eRr^V%al(>{&}F4EbPjAKf=Xt3MD47-j6S z%x1>_Pq4Ks{;^Ws_k@gtxw7T`{EUTV4G#k<9mcrE7M5j3Fs;|iGk=2aFvj#-$dClJ z2K*87N5miYMt%}J$T%@IEfdsKP)G?bWbLu}9|yd|Q{8qY(`oe?0f{75_8W!cWzxZz ziBE_zla#dF>*qX^j44nCm%Z0gIep*@~XeMJ|Xvi@7iW;|`hG}Qs43sV za3(lhaW|*zoOmI)jd`L8d4cUN3C)i{$CW%1w(rkR3RiMe5TSK=!qX?C&D^I)M6XR1LTC0v{6Mf^EZH>ySa-lc)=x5cutV_gROQCB* z4q%+=5BG^}94rTHA0Oai~NHlz?yDXA-{W#?r0b-%Oa^HyDtr~4~T zE2;UJI@>oY#rpN3Np_4JP=D;1S~`fbyX$ec+>J8 zB!9+2O%AR3badQB%gtYel=nKNc=M~EwE6y&{5L4s|6fts{>n&&Z&G4@u~XJTq1)Rc zaeHDbUg5eBpVbK|&{`pB$5 z+M69JZ_H=deH-IH`|}_ht5{3yVQr?6D)6tm+bT_0;dS`2?=3-%PflUE)|vhpk55aQn8!G-B9CxVn>Sa)%jMzPoV)XsTmOt~akJ zIL}X6H};L`t^6Q#p{kAnx%N;4dl>$ssbOx>B$Y45*b6YWzX^g63hP)anzu8cR7n1} z35eRWe8-EH_{JlD+kU?nzZ|*N)=opW<)*q0(@%Tj#?hhZcoDGW6HLZkf3~275-v-A$B68bU9z|2rpfAR z>=)6I>Ei0HvO8iM{lADg!kAT?8A7RR-BTNj9SO_^-kQ2* z^dN8jR*HrO6znIg#HJ?lTUM$5&c0XfO%2Wnd0c*_$-tm$doiKmXKUQsQs%$FK1wH| zBR#oI@k!=0o0&C;fGoc8~DTKiaCTGT26nqNs&lBiRi8O=Cw}qWG6_+2T=I# z7yr$7zxYSr{o=2E_sjp1KY#IaOW$04J-O>xN%Blc>$c&)geN;vJv$TJxXfy!Am}DY z{qA?a_(P%dhoCvz2){P<=3$-t2Ah1+=GH`lsWRJV`sP08&7n5Bz7)oO|GQuQ)$e}s zcfb3^KO|Sf_QU+1&zh_Jd?qPXn;6W@%u#@+95QS?H|-98k<>50`{jT7-7mfs-c)~o zmo&$f&orKDd07eo`;g?8rbhM-4UVJ>o@*hZ-|LU|nzczKSHltY& z$@K{S#_Ez6lNily!lbwY>1doVMUAlecZ9G1k*p07-(QjHF`am;Z^( zGDZPyl|*kv4SEl&s*K_QV}$cPV{e9~c*@d&#P59fi@zx%#j3)C zsfW*>p-LqMIwZ-hnYZm3;{K4!zaKzL5&ETKhrM~?RRpRP?9Nb~pI`7hlNohM-$;MD zV?T6>6aTkle57NfA*9L+BpiJjDvLx?xDOe|BRBpocG9FfmJHdLfn;+zVQ1Fy*9w`f zMGf_v{KU4AH`$eMC7{>gR5Xi&MVuAh&zYr022AsmxqgRNqtE?4QUx2=Eo2M4`vECm z30eLZA!`=LI!&@1XDaE*BR#0{PUf5y^)qPOUqYJ!3oS3vD<)jNf}T%$UxOBO$M*Qe zbdL0JA#}zQWHz_L8CzdlWq(SxP^?}|g}254mVvVIZ~Yd|KL$h$*C4|m;$xy7Mb#5% zmYUm(xI%W!1#r1TcHyDhGnW=;fpt8Y;mf~LVf^c57K9KD74P5cTvVql0W z+8fw$pXtFfQVM63p!S7<6=3u`>`_b@qtW)olbewl;`XG+t-w4Gj(6&rJ*VXvVQA5D zs7mGaa5?r3YtS`NlAt|LNi>G~9_mLH)N2lBLO6u_GlMg!tKNKcAOW!zTipvC!BewU z{@}MWbt4NiHFoM$_{el7yd<{TQ(fGO(@Y#?8dkd~`u;#J4h$v(wpEIb>SlzrHl>0d z#7THbe=(o4X!2PDZfryjUH@BbIQdS)U(94;If5fFiHRm^=mxY|HvZpfKK?Q`DR-q1P7ZlyPlriFbYmGu-1Yj6OfdnLQg$b%oQgXq*wZLZSzvhDp0SXzg(4xgmyp`5gnDTU$1i&*w z;Z64-0%tXSC45rVv>Hbfcfe<5r_0v!W1#bn-PP36bl$h zu5n{%u-uK!4IS!0_N+?~(%5AHMc34H6FSPh>7BeU1eMaI&#CE@63Wq>a%4RGP_lwC z&9=%7HoRi0Yx+(e&kfsB!8vW02rA7264eSk3pTgWITiyzWS3y-6e4R#8gHE*CkRo@ zlVTFiMQHN&meg2=-o!6S$J2bhh;LPVBZujq)|S3Xv4V)NkNon)$f$kRz}x|eDYwd0 z;u*FO<6+zSL`K$%90k+2>+YEti_jAlLZ-43(bayz2lnPHfwfn0>US4wNb3{C7PT0D zujDc9t77WK^zE^iU0X$r-S9A#5*y@1E1*5jJ2I6}ae8u%PY{aagN03FNu7R${WG+iScX^P9@ zElmOcH~#A%3=RYYN>HG-v$WtRNkBM#K*Pj?33G;S%R$yoj%+YFlQ55=2OYOwI z>tTF{U?Xup#`CK?3BwSB*Y!JDjha>8@t8u}-nelPhZwCB zAxr`jR1;!+2n!@60alyj!h)^*wV|6vJ4wcq zD$j-+Rjas^IinFTX{J+1atcaJ5wimEkFO10L0@)HJlzV&8MfA<$jyB&Z;?758!Tr0 ztP-d#FN}qd-%q<;(ttZ-M?EOv<gCmk(9t<0x-r~qPk4vqO1VL zo|&-6X<>++C^H<%CuZd`E_EpbS@g|0PnxSmkA3EuNvuK~70EdMlu(=&=VzOwas+;D zNKiP3ntqd99j8pr69NWS3Y!8=p`|pV!cz-_AVt_cJ|1JzU{2;rrED3*M@B#aWA}n{ zrC}y*==G5E1okYp?eRD}@f1P7v+B~qvR5^U1+JBl;h5=&-Y-06R>29npxYuY8G~al zqFQB^@`jcvIx=ppOd37ss9iMmxy)YL0xPpUQrj;t6(^W32Ra19_!ocpt9Ap39tB`C z`e02@(!PAg=j~fBFDDc?FMoKM4s2u1+sro~!o>r=Z9mcjjYzzWf)t-T?ri1WHm5oI zBlvV`BgFXJM<9?FbK+~>_>DPE7{^OWgOdXNfA|3J+&{oiK5aLi3XvCaqnc5h{2N^H zZ-}Frb3sU6iE+C0EpWYHvsscEeH0vNI`Svqf><03>8iKxp6Ft;wwKhZA8OYC2A*b} zf;&_bKB6C1HDme2r8&c%ea-}*B&{WFmxkj%=4UG3kVl4Tw&z6B{xBBqXCKhH&@)el zSePS)Wz_@qc-}!ASp6jvWg?pDyZ80`vvvCPd;j>qFA0P(w8`8M%p9qTho511n>VMN z7!;=|g#e8-#+8G4&Pp^;>Qz>&JV^yk=up%JD)CBKRiX z_%mZfkC{pm=t^cuHNaRyC-VUn8uNo9vKXGMgtD8`7KEBfpFCZQ1M`PpXv}oZsXc1X8EZb2WFNKXEh_Z)!f}pU#3dI*sQrJ~s{guaH&dA|)2QGKi~QZp)h^TN&tidc58P8@u_9lZQ}wqazMG65n%TPdA79X2*Yp8P~a`pqOD66h20c zxAkugr)R*XT%i%GDbcs7kqQdk@})}EKER@n?c2)ZTnGchWJEeG+>3zWs```%J4AhV zMILNjU)>#H5z1=nvD*}ocSWE80pB*>|HhXd`gRC+!wb4Hab6q7Q_ol|g_{q$M{W4%_B~_G#g*SX)BD zr_10&`&>+4g!)7@ANEYC#T>QxKR(t213FnVeI8qR+YqSy0snr`&M>y2lRfG*=H^3n zEk9^q8TnGf#Yx8ThjZU7z9eT^C7hM@^oUv}J{~Yt+5@S%UNRLvtc_@DS?6XKKs|Y^T>si|3x)^GQZO%oNn!v9KCC z#R`K>%>9n01EDH1qHjqhhcU{^2Yannda06AJ^1(QTT}my3NpWyS>|XX+v!W$fC1^R zRABh`0onv%Www25sRw!b+`Zau2D^hr0+Ij+ z=rlG1Zh$o6&B}&%Wfh1Ofle%ySN5iGJTDxLfX6Dk>$0r&Rn=wV>06Zwd5r3}+~}^f zJ!@Dojbq}NT8@^q(*OP<%c7qBHhp*Izr zCF|idNVdvcF)!>bsWXfes_{8HSe|oVI-I_iM}k>TbY6>j>Df3)GOcN9J$F|6e;Hgi z_5DebNbr-@l%3RtwV|$LoSl?GN9B%M!Obijplx0j%Ic-&^(1BZYnh74-Hp?_Q*LKAF z)Ksx2Frw=omKZZ=lc3Oz0?YFq(sj9~7%E9P9neNV5D!}WEmx5&**NwrFJ`Z7FJ^5) z#~+8%bzLGmow8<^O;zO`XYlC^?2xsg-$V7U1=CVokz_;B@i47O5WNCq-p);a&5V6l zpIbAxCKNHc@C1=ugjNik;p3?t*j}_53g`1YL@4ig;JQ8M^!soeFYw*5WIliG#}?>1 zSh3*dm>qG7CS|tcizT0hp&LXI)W4zXv$8UzQpoIb^|AU7PdfrcXQ1J_0Z8e>&olNz z%tJ`_lk4T0@a+TV|L}{r=|VY)eMsR@dD$KM^M|&zFWMa+IxBhhe@K}zgfNO!Z6ZH* z$EI((7+Jm(+ZIFRnl@t>OXx(@sM;>eq3d{l;Ela}<_PJ2MwZ97GANOl(ji*!p~#4l zSY}76TClLES@<~XH0omT2nM~)=t^ilXkTa;?$-}|xAHba#gB{bl3%QZr(WKUG}F%s z?Q=SFbkH|jGQ9~m(Li9?;}{g8(Au^6>D2Zg(d88D>5yHhbD_6Y&4 z0-8Y3l0)V>n;S+sI5TuRMj`~LQs!8u=Oc5!cGxvun862|1{-sOz#VHpFFK0q9_ICW z%%5>|I?T76S635OW8YnioTD2>Zama}p7#;QIA)EgI=kX$1(bR>3_Q<#;FiKygcLgC zhq30+NxJd-u4ff_v%M&US=R|Se)x#9=D}UBJL@s)M=5qo)^Y^X*-?IRuqP@7xM~sz4phU*UXBxYi^RZ96hy#o|xF9f|ylIFEd}C z<)e!aAr`PVp_5={&$mi9c3g~zvzZm2PXLqk;oyZaa!gu+zF_(yCwlbmhS2@Xi~LIZ z&i7om)^I#h(bmoi$GR>VN?7(=d4MwL-bskllCOh}wY#|&yhU*Wb6b$4gK*z4$jO0` zmGbaAJ;8o|rpfygYkxz98bF$7hkAq&V!|eBtp@Ec7$D4x)+DTM9d0Twz<_9H)hBZq zD)Rx#QBTvH>DXBbR6Tl>P&@5pXZ2e9V=NfqFI&EA&&kr-Qchk2I^X@UuAxFPTQllLuvY5* z-o()Ib?_&5qxuRim5M56ZY|r2NuxPr<^*MXH-^xBa&bx{A{i!D&(9G4G^Ov@n+l1T z0=JQ%4ih`WYh$y3tlARQ6`Bituj4B-De=)Y+#KPFHz=Z11|c1Wa3*Bdl@g zkKnMmSod7qVULZuwpi7b`91AU%KhPPe&&ID#6oVwSED~|b57BKT_~yb%FEkwZ}re0 zSjktFjy-jaiPRKY>9~N_L2NrMmu$VIOSiJ4REplAVXq;*qy->YYFhnD} z>%kbLSI|d|$q+C{b>8xFAY$^4=Um(X&d2-S-)|XJo)CVWm1AygOtpgP-SX+<@VVvr z%D$n12njMMzCi}zaB$SpXO8H%htDrrO?cQRKa2_9^ceAy0xH=@hE!p{yCZqC3u&}$ zxk@#}XELo}!|&?4xL^Kvdyw*>z{EOql$321x^&xq@&2h14ZpZ9ltxZQ$M`q;IV@W24k7j$3y5Pxn1Qb!OD#pGiA@(23P zYjW7Rb<@#qInxcPVMpc|Bg{K>BILK)uR+}zV*OV;HKfDmbV!rPgCylW+$k4VH>Sri zoVVyXa(nVNJw=DN@`huZbKA&UsVO%`%SK=wnv%zv``rz9t~oyXZN$a%mfq$w^!AD3 zY_otxx9$6J`yTyF{)&EEJMm3H1^VD%t`~pGAJ{s#v+ssKPx(ip;;O$4I}Ra5a<$97 z@6)%(l3FONU~!#G=s(ozC{$iREB`2ZnHM#Vz2`P7ZVC^n22kXR(M%+qA;GRdcQ5=r z<9J!tAQOR=HH?ZNRQitbRxfRFxn*Oeh}qO?m~zT&OceSI$j;%V&4&O{Q&nbb=pr4_s zaIP)-`by#=!dUKUUz)r_tGh4irc3oz9xyw|Pz&)oaz>P^Zh=#_IAW7tA@%viA-2xV zz^^QqyHbV#4QMZy;?tj0ZCBolJ(a1(Y>S!>v`1bjV=p*ppV4PgR-Yi8tcBwVwoR>^ zaTvP!%%>}y(@8HG{GQMjOtYJ+WW%2~V^R7Nv$<>wI+hh>LWD9XW(=}YH%R)gWl6K_ zQ_NLj9$+OUr}|m^m}}+@WRftR)lcT4h9P&ziw3OrIimuQFmUDq)%f{s4(^Ma&m{xj z`FG!`$ak1+Idr+>DPffDeHDd|wB%!3U&(2k^JIdiv$L>ruNR0v!;8&BbLGZ-#a^_d zDo_j+7!9<$nxCn@D6D{z2!J55d{|HC`gw(cn-cWEJJ3x%D>=^3pBKvo3lM#20MeKD zg+@QR;i2sdUf}x-!U!JP*st*Vxh4N_$iEutl8CJyTMR&k*|5XF~tFPew8 zmJ;~qxK4s4zt#$~0192|dL$zQz_$?aRH{r`KYEn7QoH5EUiovCCN?vJwN>q=T7Emtu0+irK$pCS$}aoH$iMmwdChsNrbD z@r1uWC7GH%abaz+$oXDV?jWIRwO92uZ4&7(_B(776?R$rZjqC$vV?i`JcT^-b65u_ z9v9~_dC7LyA|HZhPdI^lSObM}&u5GWZ3`v`&vtaruBaa|%clZQqz18s*&mDEyhU`^jcta}_ws5q#ui8itI#3XsO;{;?Lhe#&L5z@p|~7riBM4PWw;Bsk@D4Zh|| zKVE8ulW~x5hc&^yXRY?^d*xJi#@2hfw14{ZgfBVhCOCeA0Aqq1uA=;sJZG@|N*>X@ zPRGIh3LjhYCYmzuK%YS!L~DtPGU-13ag|+}w&l|wjX5QDP1c@kZu(4EAV?*(@;OuD zQeM&?W(VXF0$qV_$sm+Ot4k2I6So)kN-Y~oeBFgkB5d`xfT=Wy+`RUe>{(nlQT~z?*e_9DZ!lur6tyJ>Vs7To zW%kT9OaDBAeby;m;!s{Wq&+3-Fc^2ew&(p5Q{{2{6xk4QP>Oq|cQ~2dL^K@rTyo*Y zkmlKy0ZcWdx8Geag|%SWyk%Lrscq}+_Cn2;@g8?$zoanll~rOQ&RKzTAvt3Ig>nsz zFE=mPeJOO=3speqgY$AKzyn*(*=(^}P{xw3m*@SG3esZBQXAAY>3PdUka8jlCF0sw zzP@TZb9G&B2CcI_>ERP|X&&~eP= zo_hv9!qTnN9EzfK*XT+kU&x0_&QVWWqSYjaim5UWFfiK`TUE{=@DvJEPQ)+_i?}4{ zkvU1$^<0kIQvu0fraLC*+EFx!uZay?5xxoz%_YZIIiv@St3VF+fxhZ5Od4@J_XR^s z8+jPW3-022XQZBmUa13e>e?B`7a_-r8k*>V(k}jFRGXjGb4A)q%(0Bxb1v>?Dy{>P z%MPXWsbI*Tgfg1Dd{-YTW+s#;?cIxri1|`K?Q%Nxw%4LhOH3doy-T_$QKa*2Ufi|6 zTF1m-LrJ+7LbEHVn35lRV<|V@QfYjWSz>prlBCV_p;;tZyG?o?pEY$GERW`;t{AVV z4@NYex7SSUHbzcyV9PG!#W1swH-h}osyzdfTNrXDqz+7T5AhMx3dh7gA!KP+b3(4L zqC~9JKt92&9X~qOS-F*fgJHKh*Sl*6dmv$aR?_l=Yo#72(ZPags|mhZ7tb6x?jn>6 z=)lDL?{ecW|K{MwVrFM6J43Tb8Pa_?Nruz$x9#}bZu~7Z#JO$5Krn|Htj>%IhZ4y& zk_7CFHt0yJ##m62T%zSxnMGkJs3J^5Ys0}Mk+zC#Pvhbk0xP0(^eB=jI_^z*eA`27xOt*Tn;6%AbU*vyrm~UJ1^du9e9kbFmx>}lY?~LpL*ry_NQJBW zMa*gw#~PyuHIaZJiPkwkGam;Q9xqI`rJzu&oLs@ z)qN^HS#4FnKq;?rPV$b7fw(5s=%hpATV`s`L=M}W#Wktea@-AtE@8atj$0lt#$|Wq zoT};EGg2(!G*ffi=R1m#$OKB(4Ly>o&d|P_plFlre!nkimT>5>a+?bWx^L(V(%}0v zX^&tI+hs=RkgR$kK){*0XmioDuvAx{L5v$Z7G+9)6(Je#3oJkCQ=H+Nj|Z4$ zG0wzV`LBMUZ=APWvODG)k(UEz#^lh5leK_nae9VN#jTxxbT9Qv5q`=dN)xsn4PF;S z?uM$Vv+0hOYpXx#U9XfyJJ97K-k{Ec_->b~368vN6m2R1PO_?`ifOBZ$n)<-4yh5gx*D-OEvNHixm$B*d|L zAmOaCC{fsqqJ|0qrH)B&^Ld8rP*ZgDzw=IeGfKhAfR$p7?zn8n!5TX2t(QKXf@*n!H2{m~BnV_U%r^0(m|h8^#qha4Jyw$cKVVNDx*3J+NjKv``O_<^tE|C!csj+uo-&3krY7t zY|G@Ia)?kS2sVlTPa@#1i9nL!ub&a$r9BF8GdpB&1i+Mff?P9k`gnIHU?v2=`wWXP z)L^p>9C`%!d)x$kE?1fRHdfJB0v@4Rb5>YW7X*y0hlbkJ)+Tz~Y$ z9wAC9`T?OgjxD`$xYis7RdmUgc?1x@A-KRNLcCuA{UzwF{+Lv5F4F`{p$ZfKfQH)4af|dd$gxlnBOq0~g zo8)Kf#P*CJFZ=BnSWBcjQ6f~VfsT2a{~=l7dIHCF)bYyF(n06UODH7-?oJ$|vX0xx z`u7<|3)LTagai-Wf129LgR?AxC`^Kp?aLo*_0Y5t5ezWwwqY+M%h z)DMOlK7IPODn5OCCUVqJ!nRerf%+l*@bR)OxTiyh25UM}R&^?%52tS%C9hs#<ecBd(vp0Zb|x!kt1k$puBIg>2%}N|9B)u^i*m z@AHwL7o#nE9;n70HReRyGCqAv6F~-CutV<2Z4@~oE)J!8-c9TaixK2%8k9ncq5Btp z>)pFUBX>qk{*loDG-Gr$_a0UOgQm;mtfHl`VGDq0Gyci-)iu4OBZYZLpMx=cnJ<|m zbz5!W#*gj{vNVmk*zWtW&Z1gqbYfx4t%tN8c3yOOCIqCv{K}=tP)%{}P z+;%gjuKhyNC2XJ895y5C#DExiupBPZ2f`gMc$gmQSI={Mred%l{RWHQXQZ)EcJ;4i zm>H@5xhZ@SZ%9xOkjCX-uMhMXPW~3@&wubb?+m7XW4QNB{a2+mmL+jK*8XmiCLgHj z_}ed=yDyeDg>mq`R^XS8FHw4aO^Z)_DLzB`&o9mNqD#(n()@Cv`yS*4nCWv{$DdE6 z1s-5AET0>N?=$GtXBXmMgnY8?&GZPh=~us{D$Vx$$m0C>*IEA8V11@JubX!rwA~%m zq^h$d)2zBqBWzEXbbYH+BpG5pLAU>LYw}Kq_q>7#CIF!WRtXhkUXRFa=|E>u)O=_@ zm_hvBe5xzI~}qEXh-C++C`Up5Uil!3&7X z+ugV=EmVWed%n37_mFmp?#X7+ls{l_i-;{7iGrJX8OsUzFnlkbm3%jPNwz}WaTnAB zO&u&St3`V^^YMKPQ(2)H`tJ$z+;uQPj=Y{{(~iGrhUzq9+h~Q~G~g{87)l9g-+QlM znazSOP$cXH3&K?J+vMZ+B5*3ar*7Y-e^XdBL*dOeTrm_=)zDIGsZwjF7Y6&iEl{(9 z;}9tW@yLX_a?`dpOrq-Y?u!7aP|XF!@y+hs6duJ_@=RAlFwrQ&|I%-1#ALagnz`B^ z^TW|pxe?XxO}1quqy9@$C^F;L3c9j}rEq7!RP$tAR!I=Lugxeh9|(E;%#bHu8%kue z<9uNLiVNdfrs0oni+LZc1U9O|3X)KIi~`++HF&abw-0V|dfP$%wvLh#gjmpqoVAtKE%P zKiw>4gq!Eeh=<`uauEv`fBOgT-bu{Vw%lEF0msi@xjV0tqm-X0piCL z4~T8e3s1t^R(xTn_F%m<%%=>IGMvqHsjN_B3E$TdE3X1C^5{;+tTsQ1K9ICoV_*@C z2z*&v;H%bBs`O5Lgsr+<^wJ=vQBq2LGHi&`Ig|eGlZHcZ?YCK)ld0()aR^Ry*Xosh zLFdh5B5n!8C^??B-Ij!f_z^k&+qlZrwkFjt0fd#?0SvvOK8~@jjW*IZhZN|5VCOgoEQ?G?R zx_V|{Gqt$suXB>8B2P!UkJQWrT{rTnNv|$ur6R>wzdXz3jW|!KPmE-THFr|i$#k8w zhG)6Y{A+AWDCgAyiu6(4A%E}Mbw$rXbp`+ZD%W+FXHNvWBcM57DDvtV`wa6xR^?@^ zFmuURxMwhFWu7Lgsx<8~iH3ymjqbG_Q&3W;(AsNEI zF9?P5mm!cueAAg4o>OrrDxd3spd@B(w-^JQg~^t0%jDs;nt4?)$BgR7V$@76EX10( zT##^87gSGd)fFRe`{vLSpOW~J-)GkHYtC7pYOeR)e2}cM5ZVvI$!i@c^Jkfqt?ItN z-kBw}yOB|y6Ix(Run;GiuwQSxUJU&gv`uH4S4W1aAN9yM%Q2-x4vupEl(l@jd|Rp< zRetJEreo?vu5^(&Y|rGv$A+b5&mTT=BKaT~Kd^BQatx|0qu-l&M&`ROoz=U(ko}iz zm}vid*YEYXa-3m>cBgT{s7!54m6Cojwf}$YvCI$I$Tc9X<;flDlyyfK`Ljfy1T&uU z7*Wpn<|l46jPY*eyf^uB+ayPviq8Z}%3EU#kOYZtE9aW#JG8ps70#~^iv5FhkCa=of6ZP zY|Y>Jur+I@c>uK`pZIOQ0o^Bi)=TRZk%e5P9VYg|VH@MSCvuZr;W?;>3S2<>n?M?FrH0wjG%VTRfE5%r#+_b@8NM zj?&l$eSI(qbf`#9q=%W7e4qo)vSxiV(%kXww5Tgs1&iS-vI|78n9-)|h2?$Y`8Q+4 zDp;@iI`^XHOH0h~1G@w5VYez?>jAG+FcY3XL!0=@9Kn888;Qp@R9@^>01U3Gi6+}; z4PzTSthwYcpLIvlhJS;O9iiP{KS4J@GdyL%0``Lx2_oo6ZtXx3a{dZ%jecWr`dQlJDMAl=%%6NlN7| zrwe46J?FdYVuEuf*<$yOL_#~(HRig&aK*n)Me&r*S=&KufA89wZB3C zQ{D^{K!d{^ty5H6fR1GoujQN0!v>`fFMc?oP;%l|`t1*-1d0A|CjW3CQ?|Bm_o@ORfGl~?d*C~2J5t|^ksV9?=Lr?iX`JLB$><*jXDm7QAso5As zXC$>Cq;^sJ6}D7HW0jXu%r`kJRL-X5LQ>y*Q9%$%OLyS&+zTF^afoM%|-^e0T|AbLp}8pVQ2tKItL zqwaEs;m=d>j3fG?XZD)vDj@YxmWYuGWr}8Wa%NO`gTn-e<-^N4|6pvW5J}FK?$|J) zDYnjf3w1_iNaYu5M+RvtkgR)h4b6-lAYj<6FAhtBF1Q!$R2uD`)bON+$27T~ly_KO zinhEag~+j(tBR4ZBgI@{OR#m)0(%AvIRaNqH64cp3wbO=GT`YgKb%i?0GpJ+$QsXT%%3|lF;`H?oYG3bp#k8Q=H-p&e(Ox zu8SXTKudzoObScG-HZ%79-FZr9cDgsh-<7Hlf=FQM^3;}{$ptQo{Q$(P!-~p#K@8T zDCF=hnwrYUZ3M}PBbiM?&SQk%+)YT zV?YBpbhd|XL{{LU;KowjjGY;4J~N34f1VY1@y3e=)?z*Qw(4ihagQE(Qxiq5Z|NzD zJxdf+P8!cQSVb&G?=&Y2n7~=H#<9kcz%;s|LJsz8ONY*aB@Zl)k+A&bTGO6f8HGeFG0ZY3TfSX>!=0os!h@zfZ5 zz8wZ2!LBMlJ`9ExDdCl7Q7pDR2LsF$$&sQ*TvfFOY$dvMb;J+PjXW>5$8w%3=PLFb z4jOyxd4A}5t|Y!tF)^+$z3^2pe6_B;O|-FX4A`dAL9|1wmaI&$8a)yc4LdCR;B`92 z)tOc?N(3ay_W?hozxx81e4}gfZARnooH2!?u7kcCfA2Tnz1tIit!6UE z#;j^fyGRP(Wx`}=Fhg-vHd&W9AbNmOEMJ(sUef&_vMRw@nISQk_mL+>0!_kD%p?xa z{>FE{fqXd;pQj*cG4^SkmM#G#Y5Y~h!>N))$I8>^Lgg1`?Vp%9BSIpp)BIqDick`0 z3cLl~U5eLgQSjJXI?;NB8%)I%5>&-wj`HgjG4CPM&B}gnKr$IOEaz(8Bt#*kX2eu1 zJk(VcoIe|N@5{}|U~YNqDckQ&9g|@(9Wo(N7-=Wa_PQF@8NH4n+>sID7j^H=O!DWI zIw9)V;@2wD9vBgCl(s!z9R&81ST*47w=rpXwXIdg7{#W~o|!VSw(LfpfoXs(SGP=D zc1pUo@7MY_uPAF#5?c5IIC7*8NNk`t8n#hC)b%6TK@15pq0W%XG4fN z$%^)5?(0i8a*NILl<}H@VUKDjV-hO*Id=+i0=nw1V7%kAvMO{C}_@jfCwu3Ih<1C!)h$4|dk60w4yCN*u!cComYHPun%@r4R!S7Pd} z<q+I-L5FxTMnqBs`A7k z_$DDQo2{jqVdVZk6YG=+s#v?pj&TK5r;Z-f`?r7V-MjHc?ujt<7fY`9bY_Z&-RXm+ z?SY5l@PSD$yQ7K_q%BlmDV_9)ox17Wuz651CHUqJPn;iuaYM}z%GrKJ{gKqu8W zXE0+DQ#Q_1R)G`)dqp^5xtvbws>Y6mqNI_W`d33{DS zQ43-9^n^9RF>_hDKbqbR>%1hBsRb>E82kisl3cA&VPnlBY!1z%N`A|m7eO4IF*zcG zHpB`Pih(7Mmm)%$;?uDPbWT^(beNn{=MWn(%!Qbe3o~UFG*WXkdzuUgR&jR(Iq|F572@$BiCZ_)-FZ$v5tk857lSBJ%~MZ#U<-5%$th|B ztT#u`-b}CX1B;=GV5$;kK4^#Q&nj7GF;;g!#Fe7$4J99n+6?&98>S^W^W{ZD`?BMM zX9OQ>6OjS2Ik{PKs$EN^qPR$ayrLY|5*#6RPg6zDU61o?8`@ zP-}Mqp@`ws==(dZybfa$m*Vm2$(a8 z@-T#&Ge?n%##eLl#mlE;T7hHMdBQ5oO(%zOV@Q+_c1gvjeaoys1U~EO@@DPIoT?k&)a2x4wyq6pG7hxn^%_kKf;Tfi zq5i0Y?zvWx`p9Q$2AiSgbEM0=Z@=~f?l^^3{ovc@>&GEGdg z%k*HfUoJ_%(9Lv52P?i8V-JMpD=N!Cy5D8IKBp_79_w@doa~GfU#l@zFRzQD8hNT8 zd`JT=SVX0u!+nc!Qsz^@b-4TFKw$0emyQe5!{0&-ds{U+-Kqf*69CulY%H@X40o zap3-B3|a5H%dHsqG}5?dh}7ukD53Tuqub@%EitUyBd3bFhF*wp+SK(cGlp+kI`&Fp zOwnqY31HYL#5jNobQ&J!_DRnCBV{Uy{4xfny+SyJvd6BE<(LVSC}_!XBClpVQPCF# zmxhAXHvZ!u(ud<92I_=zV=2&(R-uNdWPi%g)R_n z5ZdJ3)x0aw9{b|b6QyDJgs(3~SEFQ)mDUqo52r?6V?)~a#8bpEH{1eNl2(skflxen zc~u()-6E_@yW8RX=;SuBtEm&^X8#P$lDVjcA!-wpI3?tpbgQgudrRU4&9>g{c-AUa z3>G-1w5CYz1iax&3!LbQ&{wa}el59N;>`|roD&M82k5AE!M8w}jL^kYq=q&Z0% zc98tqtL{DJ8Qpg&e+N2=Rf2#ez6d#^#4hy&45pgn3Qwx1#4IlSi^+udoYO7cNHF=> z0t;wI1e!CTXC64JZNfjz>?4yZGJ$~l7&21t6UBeeBw$qsRjNq%fz@xhmmZHtwHFy+ zx?rWQ9;W0O`%B(xoC0EICLG&FTorl(@*jEGDrNb;f7_jrknzu;whbsU;1Fs}UL}&` zG3Uh%VXd(F=cl&MJ8>%F#ma%|8qWe)I`n(Y_q?u6toU&g!+L#mLjLsJkUyOmKix3a zn-ey*S}-wD*k=L9VPQ95F(0Zae~*SBCX24ELcnub)()kVd=hMoF{h?{=kQbL%KVP6 zEUqh*-AGMpi$Cl*l%M?Ck>5R+gxyVK41Ool4JjsV^2#ZG45VduvoWSC0e&eTZ#?-@ z_0$#Gt|#>P-}x*gJ+f!Z$k+r?c(fg9#PxBKRaJW_pOZ@WSPIc9eB8L~j~xgnj%$p* zJ^W4@=j#Q2ccerlgzb%?FMmiafQj`O#X?7zvqP5JV3hy)AAWI;?uG9P-@=m*H0F5q z%9~?nnUPz79IVK2EuCoIe84Z_vd9+$!?W^6CG&a6n{rC*?OP*mg87iB+}^x%w;dzU zM^~~Jbp3~h9LW8jDS;5IcY)K4ve=;BN%arz;$$Y7psz!FrZu$y+ zz0LjY^UcxWEwYNkWs1y1W&d`-7LjXIl)%G|xg^KWz15uL@@@u>@%66XvQodDeH!rb zUv+SwSF;@B!7@ww_<4j;ne^8ODB~aWd$HWMD)iC^{4?bi|Brq!yAh=eQQKkMX`@^k z$%$2dV6xu6#V+!2qCW)BBAeaEeqy~G(W%@ld0Ql|mc;+nUoyro$+oCw{#?%6Md(F)wQ0F=ILQbjG5sRN)kf{E#h#Z1Nq)0PHFYy zjvfTC>@Ox$s_UEgy{GNcaiy+6Y=RQNxfb z^_(@M+nSE$V-MQ6@>+IN^L{wu+X45jfD}TD9=8vW&slXH{@j7UN$~sK&B}c7ebYnr z_rq+;6{AKRyBetvd|>5F&&@8w~p|=+QTjkL*F&zeMyBPLfa!0{rNcT z7&xI~OSzb0;ygZGOW|mi;uD&8r)i59f|PdMIP$TV5eUq;?O^(Okn6qdNI%Oq3}df$q847fWTUz6!)yq#inTdD{sMDC`7R#BwkNAF?{n>Ja;FR z7sGVyl{2TwE5J0nfg|vuWqkc@X^j`~XfwqAqok{%N6 zPHWmq3XmI63vUGtVkr4K<4g@}LVW7W_{_B&^IPthh1HNdkHLEZ8-;Dhj8rn@;iI?U z9ZQp5_3{J)3-s+lnwK0#3DYWY$D-q@(OFI^kvFp)6vswh+ir&E7V~3PQsaHF1$}El z=LvB;Wjpb0JCVN6J=X2%R!DDqGB2q{%YWPuj|KbE(NwQDe87@1<5vqYjr4`h*6h3P z?S^Ir71BiT=)6~$78w>GA1t&4yY6GOY$nz@lt=OVj1Vjft8PW?mb$y-)#9*RJcoVy zzoCj@%YMq0OTd;lqeSLmT#h*5mx;I_WU!^?bQ( z;H?HWa)KE1p0t%f@3WxQnNut~M$aD;M^c-xpb_Yo9w-OKpZ)It#0GdHkk6W+-$Z`x zn;wehGoykVz7UpU8-XeB=R)6cG<+wiLq8m!xcGtbXMf|r{XhT4A6QA79P(x$FEPs5 zwtj`Wf-N11M08#r9Ug{G=r+-Z|Ks<6mrY#$^l#6ah(6N;dmIHvV`^W78qS(o+d}=1 zqywjU2V!dEd6B#%PrN=^nS>?B7^QH^xhd_~n|TQ|^iTiuKW0Pof$}$2-(a30AG>0B zH=4Jh-%e%Z-Q~#37>#n^+L(zyuxefaYufhPlK{nYIp)!lU(2;;f<^j&{jXU`0fN=g zg7cXcZX`3jZ$L{KssG9Ef!cMp4t)1BQ#?;|Dg=X3Xz0i|Ou1wH*+2L@7VobHzP&d` z{YJuxu(IUa_7)%5#$W$SOc5dAqAF8_@?vB%DebVXeAJmDSp2ijHC^Oe{m40ar;9`B z0F}q249t3|fwoL+GQ5A~Tivcd(`KvHTcb`%Yk7lJP8Y6ta6Em3+zJgxUk32jBXq22 zpt8nHmF?CjOm6Xk@)-Xd8(-2ZxrW$`&cl+rnTOX}uLO>hcj-CDKi2mf;_@Zl*q^I^ z&%-K>==%??BLfTF*24}%%U{T>4#{W6c4Jk$*J~5bk)zoj2Hs{>!*LX+%G=Wm^>pTW zP#%8Fb4{o=dvtCdT8zg^uC!xnkw1OJ2gGB5SCe^j*zIA3o&O{gp4cuyi>V+P7dnc#c0Xd^dcnqc!?#-VB=J+_ny9cNiyy z1h`;X^_S8DYg@$<*!C+!MLCftNOzP_qG3cstvi0Z`egpNeRVpWSEf^1+Y;OPg>Gl` zUr^HNYG&<47eNN9<_M-b(OjgYc$KKLI&RKNZ(gHt*FVnSKl;(TcY+YZ9i`tVyRL6U zG1X4?;#zNr#|BONrp=YFP)=|P%ZC^mI|oxOONON~zbRq6n0;e_2x?F0-EAv$0SgVussKq&(k!_x;l)^Q z1}u)cOj<&h*X3=I$i)e1$klDlF7s}7SqAn)fJJLCm!4Ud`SYjWo3rXZir(rODmRrW zEH5eej~?MxY(rg?AL&UogU&&l;?eRjPW?agE8a>FsG@lx%TG7}L_ zM`X!^7KmJH6Pltpd{0FJnG&dD#A-LY9{URuNH5y)VCOYd%O0>)fF5}2 zRgx0i-gFX^=#fxpuzpVjvobkh(>WX^1KzS(H-3y5`xqEQCQ|1AVi=DuXEVx0hhe}1 zOA~=Q&9>XAL_G8I4-Fg>^`*uxZ5FjWt#g{_|0qF7Cn>ejt&uf?_*AK+8W{-M^TIHY z&&jrgg_LJqE!3jL_o3cEYIBRVzpJM%PJB7G@$dZTdtN^pHO(E{8c-h2$E>6`ezIR) zu|xvsDG^rY^f|MPriuhz!FTo6Jksm(M320c`qRCMs^nVYS^C7(vCBKEd3)36v-Z3R z`+J80zNirTIf2dF1bj;ZtcVE5Z4w9MeUBLmXHIPYzpTAWk1R=cCU(1<4~rpctm)HhkLX?GH&E-Mk7Eo8v=Sjf(QthDRdLV8i4|-CL0Zk zzLU&--pLAL)Q+0 zk*sT^$UNKop+c(HT$68Ts<8?PIO$D8CX=pnSuHOiQ-*MTr5{qK;@Cp_Xmc{o?l-7P z=IEAS{c0aa~NUS(qftLb>ePUrr69)U#!r z-SaQ{C(bX*g}U@cVZKPd-3$xEhKs7C?o#2*0J{cEm3W6l@BzooIGcKFsQ9tmrHmaq zmv8gKW5FqB1%?TlwCDr!J6J(eT}TeIj}~WVRg@3H^`%&?ytyGf;3uoD%cjbgv~ymK zQG||TfN}&6m%lGgz0wp1v2VXW<6d=CcWWfjDp0W&71VUg3fXI8U_PKzKZi>v~~5v-VyTi-u1QrDQRZ(oh87K9a6$vuKl-rAwW28zM%vY8YyZ&d9*ynODls zQo|@^o^Nf{7mIqW_Z;HBEBGTOgqqa&p&jwCrv3NzkwG40Y0M2kJ($*wlGGP9pR_I* z4~&KcMnk-t<7q>ur2%%}Fg>R0SS%B%7l$JM_EF`fO62Xfo7bFdmxQrksm>Q_y?lRW zf9JvK`k`q4O~%~9(r%WC&Ra%4Hr={8kH~s-##yc+uJte8y*a8=YvF52YKpUd0?eP@ zZpY9^Uq?O~KT(U1`gepd;r>ZsJSj{XD|S?`>LA8M$1si&hkyQqckh^h z^>}I3NqQ0>g!TZyU{jFa+6ku}kdf%1T5n(`6-iz)we?qBweAnHCKLmd-DyDw;h20k)b4(E0iYIjD2av7Tc6EXKV<rbzxLXFFcmi zK+J=6QzLka_O8b}3z-Gvo#F1Jh3{+XTOopcM?<+e%ygPRr_B-b3ceY(aha)7KSGl17~VeShD|@S6gBDwM1Dr!LNN_zU_7j6dYg}pfctYkYJ1_S zFdu{$U>}}af##ZPL=N%_D}a5XDVj4c?7ZG>e(bp3Mwq%z@U^;}am}fZil?ROVpED! zWNI6Ks5=~~{G9x^vHnk*w{OCDQGT}qSJ9vlC0N3mw!0v{R=qO-gzG~XeTck!kCB`L z+#LhZgFN-042+jT?E(SG@6&M3J3|onvq1*3)^!J1n#4jLOC|4y&;N{eC#1_Ym%5k< z0a7T+M9Sk^Jr$n|$kqylm<0N() z@U5^>8?wr-K>pxIC!>vBt<378>J{~qc0Ant``;r^f@Uyo%G4gsugUMlm$~C)=G}>Y zNB_0(bTFnQ(#Ey|i#E0QfTT?cc(vc#=Y3`0;l?+!0>oAWdx@Ve_T{le#Qy5x`4{b> zdj18NYv1FDMm@(F3IIZi17_eZN)FRyF82M}UV~gz`9|;I8<9Y&1QO?AX!8ePClv?h zP&Ga2-BuTlVI}ooZ4&i(Nl%;tcRE}604*}z;GC+PzIB68!Ko3D`MEE#{AANby`2t169VmkL~vf z$YQXKN%E`b0*o)#aZrJU)HmRgu#SLqc*x&CI>H7QEv!Pa8#WhqI>=B96-WU-B8Siq z?>*#2#8eLfdYEdHaSh}6&N(5OyKVA~s!_I3CucvS9qGN7fbJ){qcyqdyEXZ{j0zc1 zb+bExu4Y~SQrDJ_6AS>vjN|V;H@*|psCvhlv}7Y_Nj-4T3^h$;TF~h13b0tw=r1&q z>)QjY2o&9D5!;t~9XE{77Lqnsaysx_RjQhK@j}nP`rfP9>x|7X0SHF|-Gw4afLtQ|# zw0wdm21reznQjy&H!ufHBzDh0A?DEEW8TwI$M$gEXD;p%k=*RZ$t{fNI?x{w9a~wOQ&umTHe;<-_)}Nc~P2t3vjTwKqu#) zQ{>18ChxZZQo+WM@_bV)up;0nDqf+>>jiqVx`$SjkoVjU71z9|cll1(RmC`zQDZ6*jUdnlv=!5-TRx(?N(2 zJVh|M-Za?~D^7{07VSas>l)7fqceM1564B(W2oz_dowHMR9yzzk?c%h%QUU{vosA> zxno4hnieA`D#X!<&T>bbZB972T~~Uf1{B$ZWyv7`x~sFzY3)D)Cy>+jz#S>-dcq`& zO_{(#+)K!`cpaTwkBm;iM1%9DYH(G5 zbZkrz5shpjynP~ztKZ9G3}iy2p1NaB8l~H6v{5BC3ZVG==iwt1zIAmrSYe= z%4rYlJKjo}(Zt~lUpShAH-+C=r^^6N3Qx9N>JuF9nR&yPJ&z8c_2wz>fT7Dfk4W$b zvdb}5fJLiYc_?$WcOOeS=ID|oPtQmET`sy^CvR~n#GfSm11YTAV|{%rdln3kKGNm~ z!JU_#&-$Of&)2Z)LLc-rDulSNJ>zkJ!lt-by{8kQtFp)DHvczN z-?#k~`L7-;Z?;>g*cCN0tK0mE$%$qfJjjLk4}g71;k5=j@H8#oJ@SpjT!EC1dL*e- z1`1NAaL56s1CV4mu^V}#?ow@kDjD|_9>Dpnp0=#KI_+^uyvg^~Qk*5Z_OaBS#4`@A za{?OCBo1uQJ#KiHqV8C7I9hEkN{67!h9Ph0;Ib5tMr$eKU6*_T5RFQWzt!x?;7jR@ z{F^mkyZWb_<@$4jWkA}+0glS`7z%bXFf!CFYei$7rO7^SU1--xSQhUGh#9H6{Vi$f zXqL_v(hZGhcE053HRb5ah!!s$@7(ZMd1{7Eo>vG?LlGNBK*(1r8y1LbCp(x6kR$Q@ z3tBt-=bu#%g}rV16&+AIW-R3=wF254_ofD(!>NOdhDR#bsV?;kW%2nnc&)6P^#l=$ z%d)1d^DpZT zF^s@k?Yb3i=?oRYwF-Zx;u8(Q0}CA&pMQB&3t?9r%Uf0PW9Rvg+UGyQnZT5iZk?oj ztNyptWe_?3e9y=4Y_xLXpbkJhn*#%G{WN1XDiEvC7j)pE9{`1_&9~$!!Xf0BM0{v@ znsSAF^L|e*ovn+D6E_NzFmmG94dRSEZ0|n$Ari5J40+{BZkP9bSk_`e=(|yxf?XiU z{0Ok~_rVVxKl0K9w{%Jj_!6K18RdLGKsh1qgQCPuz+ZWv{1A6;DfvYq;?r?B#J%_^ zBu=1UMYerS&_b7SZ>l#)tDXK5Xo#@2SHR*QYLGiNvlCvWX;% z5kBgL_dXdRPGiQxQJ1wVTx;vP&g6ZJ)ew(8KA0&SWcxZaK>`<8=T%XV?GXRZFo?HX z3F-krP5B_1@bz$v0t|a^8ZN;6nol*KdM}AE`n@FanZJVuKTSXsp2-uVdKn$ZeilaP z4H{%w=6Vj2mdU&k2TtJ@Xj5*t#@AVhXgn_tJQ&GKVH`i@qiLMBX%NzEP08R9mI;i7 z)F(TEotHXx&ACrV`QJ(i<}`iNFr~Hzq#vNHysXe7MMXtU@e%jMFLX^t!<`0sLMsv` zSIqWJ=!X{d6Hp;>-GCP_Es&s18BM?xh+Hw|M(9RCX8BBJN<{#;ZCYZ}Bmtg^7i0+& z*N}Rb2C?O*IG0dw?_Zi4Y2f0%g#Jr2*O!uf?il7Ur>$%D%-?Q^-Arg`WmF^UMNs0`mz-v^N!yH?;k zo1w*W+80Hq@w`V9(AWbhK$?NkCyHPK>>8;>rLX7=ap2|4s1|q-K#PM+hL}eUO&n?o zaC7q>a9h*-2wX4?C9dc4LW*XGw8vOM1oABzU$g1#(Zm3)S(IeldQ1<{LIqZU+oASw z28`wSb(lq9aHcgb#OnqPNH2=0`vP+2$VRhG!HZ%bczB_k;4#zXwaKSV!3t7_TdkY3 z(Pv&j9xo_x0?;?avV+h*1iE@G%(w#hd>Tr$7p1tD@m*R19j-U+jxpHfPeuL2x14m` zEoE4z$SO%`+<6#v32f-4*2DM4=ox)r6Zoj^j*d6ABD7YgH(}AT1VA*e0Oz`1gBgA9 zSPMN<>H{LjAs-xB6gp~q`DGF*0s?`I)>!%)-Fm5|D)z_xT1$q6l#otmy&r;yc!wxs zd^n=Pp;GFu23i@+$mz+;7bNw(+BBNd4WFuu3w7NB$|2_daQeu#_~8>`{FJn;N-U)$ zA`0fP48Tw1jncfh{I)t$j9310mf)N33G+ui3|PWhKqrk0UIGOaXWe|X-}6QPo#O|{ zTMKak5cu+SF#lSjUqm1!fs|&a5(q>fGzGvS+2BNeytIW##doxt0h&;xLXnCT0)E$g zR46)oY7GOI2tVi@sLyDgh*Ts}u^}bT1IP8IVN~b$LhmYKkrQTySh5hq#`1K0{*nq~ zVo4UF1x18n5lS5en6LO8O-p1f;p<`&k;p~~0Ta41MIyC}l~^ibcm`B*OfH%%Oc9Qz zV5v+=d6N|L<n{*v$6(a1`=XQK74ZBHdX+sENgDUn2r$aB&-;3BD$uRd1;juQg-a~TIG!31uk9nzt+S4W;HlNmkAcU%c#ui&)2 z_w<;XFWHPxkv%3JYif1*V-T z=8yfu59`jzMKhW^KyBKvYEzkXN|M|mC+5Tn#_8PP&ST~hE7WKn(Un)$bqk)%Pfb7K@)z5(FlhV$W;t6Q@a zA7+aWuLjXx-SB(TH}U-YX$+~Fisgc3@#YYc`!e=6F@)Utw^w6muO7r@c6fn_%tPPL zMu)DfYMRD4LKXC3KsDc2v%;T!q-NUKnoxDC@y+!h(DqDJCmA2(rLtRHYz`eCEy?XR zAeiXGtC5?lw--M`4MxN%H=K`(xSPYv7mNFwkCkgxrmP z@cno1`VuesQ(%>|46NedDROkjD}!^fp%eNhzo@B*7v2uJCu3K~snr%ZC5^w6#@y0j zj7<{rkvqs4h#~=Mn0uiI4FV&vJnIV%CaDnjrVt?-Ot^`)$q$QF6rZ4 zS>rC|v0Nh>U$Hmv0UQJlmhrC5)@DkLfmgGJJW>X-B_Ao(FKDqpJ{%%G&FA#+L(%b7 z1|}|`27CBVW8_2Rl$)Yq2;&aG+<9-)M|qdmy}G+maJw-cC1ZX!i^m7Im=2bnDuwxX zj%(pVuxOjt0TQ4E<>>t})k@VH?{9IUU*hO*s@{`Ej=pNB`$-dLKWl&?i+mm<#$~l; zgV?|Zrqy3eqHFy3aTveTkH5~TpcBCZZEktZme3(92&UjHB6~LgL!7xCs;#yRG^e`K z;aKUEEA5)b=BV{ubJ;XHo9<9C{DutdFA#D?t)YI*tEOj5Awq-sh{rsUZQdS{!Cd5n zQ3KzfnJtu7q9bC%Y{Jl$S4YtEa=r&1 z*L2{B$5;Svs8oj|NmWliG~M%8_WJqf>jI$5e@0t?NBS;50mz)J43zZ}Dmf+LRm&x*J8$Nn1_DxkwxXdj^z1gA0Tx zaQvM9V0J)Y`+b8vJ&5}v6W;oqFm+J{I)MxlQiI!qIyW*k_<&%%J}d%%q3 zA2L-(61&#F2N*I0QAmCWwu~IHS(vP2Ca2Ea^te!L)PU@f48cVP8iNRN+N1Dz`*1B+ z%;v|Oo3!(6`NJ`vEkHPA5HX5+?# ziA;n97cqNLHznt-?JsqK7w8mEDr}1m`^yUKfZFylS%m`0o)c#ss>n*RV{};-zybACr9R7 z6o=dF5m)>WvjF!fT+HM!W99=p^!Tbc@Lf(0)7Nmmmbyi;K*xlHrF=ikd|ETd%R5(# zjV!S=5^=3s*?irP_y*7CK%P-18H=KE0YW|cGuIvqRWMU>z8e7(V60*Ia#?<;suyJm zEv}2W{V2TVsSptqL!FR-{AnJiPcrL@4(`0b@_LSPVu^i4m=R8r%OL$1%y&kc;mgua z7^EpJr_1nsl(sL|`L3}!7=zj7$?BgTx0@G) zQcc9PcvyF*YfJy-dY)x;_?*M%Cf5H8(i0BsQ%?7;0$OXnTD2NtS^kdq*=mADJ%MtQ z56B|8ZJVPt{?>q^Vs}iTnGT!6dGQ`-N5&#;LV3E|hNE@7wxsCprlJzVTo3 zg=p_UwBT4qK|6YJyb-uCt8l!Bu~N=uD~ERg5a$OJ3@z zZCe#ZkGOhrqSlLA*;la^$-Iu~i*=;ET4i>wn#&Cf&a0Z?ZFH_-H_)K3KL=!BaV?)l z^QI=VrW(U=rc;u`uR~(yV}g9o?NCEc``Kz7X5{r^OsjD=={)fHh?c72#z2YY10{)! zvAk?BUtk>pK#QSwV|=)CU9NLgmj^)dGETs)$e+}o+st>y_RX}YJ;(V}=f5~Wv22a6 z_csD|BxRk3Co8!g-Ya{9qt>-Gvv~#RaMe_YTb-g@Oa*OlZOi4#6<*hZuk-Rve(V$@ zBy2vfK$2Z|0iE#dsyLn4xm*^TBun|Xj9Nx>zB1xswTRRbq;%<(2nL!d!+!wY0I&Rd zCdBjcntEF6XRDbOz;TlUBzH`Jrl4c+Ec7d$PpLS*GB6!HHaS(dM&?HEym_TjU9My2 zOqD=)ro-U5!NLAo4cGtS1XgRN6nF@@fd3zbWuG6FkbsF03 zjTNWtt~Dj|$(@968d|8{dEb0`Ga4H>YMn1Ua&v++{RMAw8q6+>#8-6_Ucg@7EpT(d zQA4*I#<&%5_na3x>yN+pmQ=tFw~;yUJ~t2f@%g9n7G=NZI3%RF-Z^b&ADUsMpIJFF z#2PyLxFW~juAg%Hi+YFy_)Y<`u>6=G8biRha^O6wu`DM=_E_0Y}Aw5=0c8q)7jg#A>mny z2XNSKNoAp<^MDc19P@72s26m8ueQqik+#TkRTThhrIR?T3LJi#D#$c_LrrzZrUuef zoQmYdF#@;sDX$byH>T;jtaSVbOZ+e2m%c*QuB1jQ_ETh^;3baZq;aDS++3W-`Lzz9 zKWhfDMbaau?d#ux8=Y)&6wp|?$h6Da?vX7^Cj`9O3G{f=@rl0N;kh9+Vt52I@~Om8 z>onwb<0Q-9dZ5IpO2p$kVfV3$C;F5152*1pjU z{*@i_iZSruiU9TN`U5t_6SAzSN6DQncI0ZW5Ie@a2)J1uYd!@Z2}mgL?t%E$fw61$ zD|H1E=^rJ>71Ov1wrYZh=TdZ)Urv8OzxegaA&05}? zuH%xu(6}5BKyQQ`(4h)bioE9?eT87ZAiM*x7-wI<_p&=Gp~hZszfbP;(z=$YO5aNm zWXy4?xOE*1z|ALV=o~)gcrFsU*Ho{P)Vp`iX4s=7L-!Z9`dM_Nj8syZJrW%XpH?y;2A5z1PJy~@lts-K#@u_$I?DLARed^SHk7az;AMeu}{g6n4xyLz3#!VBR_L!dDlU!1= zpQ&CtC7CN~M5}Ms+4IeRgg06cc^sz- z{pMX+>d#R5-1JC-MV?WDZu4l3j3TD!loONFPuB=1i0et7Q(_t@#JfC;(5dR8n2f#Hvl zbnlOHfC{}&LH)v^teXzB))ED<5EeF@B)yLVEgatm?mgJEaEigpBcL$*7X;&bI@~G2 z^gawp5DCkIA#tXKxO-7BbSJ?Gf|12Ehd`GB=oW1zmlxU^-6vzI87aC)){uoqP0Up(n?hdOw7*qiu{e{hcQj;!7Jw>J&&Zn3s zo07_X>F3(L%p@cV&s+)UjiP%5&pJK_5}{N)%sdul)s1kNha9O$$Y}dkx_!|dIw1I_ zjz@@)jc^v6w1pGQt{EwKmzMzdt=B`>XiUv(?F_XvsSlj+o>z8(%3)wXL>SsVpk>=f zTszUxwnWgv3Xv%ee z$l?sPRnuwBE?R~oXJ)w-LYrFZ8{Dc)PmFWxkav0SVG&Q+>}4$gP(ZK0BZdyJ%mP`~ z^^JjZWqRYhGSi-tSwg%~XNX0$Idb|7h1A0+ZE|*{wE%ZfLb)#NE=G-YxS`UC^wbP# z#Gb%Mt-yu5qMbor-l52_^RlX#a95@`TvD^B*ySM~a0n2&g>;k>>r@Sv5oQ4_z)Qbm^FV2^8&4muIzAf#@9wQ3dk zOw|A=a8piNvzb<3v;uX;K>%c5cC;e^3?Bc;@efV9Bb*z!oOo%hk9ii+tc*ac5+OFM z>`Ag2strds;AC6tQI9Z}ssyzBA;%L<&%<;%a;994xp_kAWxQDnp%Co8URx7ItzHq8+Kd;L&;!aF2;z{Gfv9$4ZbCuLAh*m8i0Jgh)RB;t>J(1zgF#ZcvVS4`*sUC!kg7i|@UAhX6^$03eJUbfDF0IMVKREI-OM z9G;Xd{;91$4L^hthwmK`QTk)N<9b$CGRCR#O+vp?zXTFrqwp7uFWl)1u$CgoOpA`2l1ur&u zgT8a34{q$_kBHC*(PZ^GtuZt&p8pw^2-+K2O>F&F-`AHwYPDQuo~xI3&25E1&I$S7 z-q7$QCxlN0cGIg=W%WM~Y=*S=M^j9WzBlINa~AMt0)dA;Jpq`3P(A|rv(q?o_%@k+ z3qYWe-Qa}#O`Ro+K+^f=0rp#3m&wm-==4X6&53%qD)McoQb@dTE)ii1^^mE=m(esc zS3u=e`Cifd;{-b*774zLk|kdfhPa*j>qNdzd9O?9R7ta?&sFTfl&I>(v+qORuxP?G zeNX$XjZ_y9Uu(vZ;Y0A$1E*Hd-0Kq>+rb{Ddyj(oLg( ze4{Qu0@}X88;InF^4HnyYk+R^;rpTKXqltU@zANa2?>F6&CmZ0o=Dg`?=L6jx-K~Y zd{tB+gQkU$_STv~N5*gw!M$$F;t^5#Ef&z!ULS3l$qw+`FTD#8pSn>8Ad#4fKf$Q!)jBlc30;dQiFSX z=GxsLmfp-6nwi2IGp$lXzYqi?z`dzC>r4e*rbyj+f@5;p<;#pAz{YDU=>JF#S7g{@ zMNasI&+csFNb40ZV4JrsIWJWKj@PlusWx;lPYz3Gc~%cVZ>EC;Hg`Py)xrtH2SgQK zZzg!9$qU`;VXy>a4aSUlK^-L9yF7;!d&cfa*5DUuObvnjDEb(SOmc#hC00TfvX z!zSKgaEqHPqVrGf_nSLA3-6O3+UmBPM?njOj`j{zLqAkysHBax4XTw{0eDIfR#t<* zcR_LN2pto0KA5+o<${MAUS3yhR2hu>g6xAG2iZ&NhuIW&-jwCnHmT zn$O8x%@0{sn%<{Bv?Uc~&%qWjiU+_kr99T`#N$PGE!s{zQK`6q0={Q9<5@-R7D+}_)3 zuphrZr03t>*64#buYaP!LaWmr`Sr6}W^;}6Z*OZ1oZSF|!|@{j)t;Y!EAtMhZ}yqy z)S2a01E-IlAr znkjwQ)jc(*p_1AB9?$h4F==54iop2|oB*ZM;y+w*?WaRdq1c#)euB#_%Jvx`y7!_);6m zw76lUa8U&gWJ$OR4@Em53*+dxA0k6w(#@D}rsnX2r|S?H-(8v3ROlNY$~6N%T<2Ym z<#(OWs_VVn5yz(H9Cw;vGZ7chJynTy6&a#tuWXCe$Z$T@>HkBfa?7ajK9=gDg$-Pt8WDN) z(Ry=3*X^Rwe%vVIH=BnWVpE7oqVY1$ZBy@P7|*n*iU5aqqrbp~il$dy4w(b)Lff&g zUu_e=@*TNaw5#&cF5+PrzqJ6v+J6_a;cp-tjk0{1p#_T#Ip1w5Mawx=~ZdrQ@;d+Ckt)K2;(9b_&fp zO^RIGL#+94u87otLgq{ssbzZL#%agvu39cSK6=;rBkm42?KE3xd$z_z4m|u9XZxwh z8K#$2>AY?Y8gj!p>#nuen~0XOB(j8bTn3X~RjEt!TLbBcr*Yr4e(ML{Ar)I?N5{$Z zI`U9R^09<_IboE9KnOEr5-l?#Je4X3+n2!i&m!?JrwjxL(ktRQI zvT>W28`YjrvWBT{oJ~E(fn+b5z!MV$E)d3zH0rUGBb@+Cd($8ty5`j6NQh4YFZTUe z3bjgUzUm!iX!?{{7LYt`ph>=9feN=-+?v2mGtQl!;vnJ|YFCYU;eO&qfJih#^0dq$ zuRA(-%7q^j;ObuWFctutO@h?=zrIJu z+(Su6({(kh?wqqzIj602%7JXqFLmh>&^w-6H*Mkuy!$#eNUY zK7oTmx$A+08*I^@IIaU2dH^pl-7muQx=V$eDqQr@kR3Ku6(zJPXq|ZeDQLItvR>ag zu|To}sJ+9lj*-@hOW~I;z4;h8`w@sS5n?lozv6S)D&O!$ad$5JCvkV}vftW5QHy&w z8vA|TK3(eE21x!vg3(EY|J0htQ5KySam)`i8&qEehPn9WVOFT3J#_WsL|c?c4dAD`dTJ9F zfmb>5ergruCokTyF64z7K$;&=sXnKFmSCtUIyFk8X_Vp#nzoEO-yuQD?2ha4A843G z@>82#v8c156nWjbjewvMVZt~pE(gvOhBcCaw#7z8>%C%lsdU~B2Wm>)48^R@;WV3I z<3Ou6DQj*jm&zNxO5LQH5mX~k3SRIHKebsAOx{QGFr zN{*1|{t=05xqU8H9THweo2^dK=?D9v{PiC`{|Ro&E<2FYeYrv=a??G6GlQnE-PD_3 z|6%cfAgIG|0=8I-ZIVV;RW!f;5_qV^ufMctM_{*oEcw_!2Dgj#+z&QwnB@8FpMQ3I z{#o_>v$AILG{ncP+WZmzIS3U+I{-$iC=Z8{d>|;MmFZzP z9FXDNb*26OBkc>S9=J)T1Hf1>TmDHx7n^O@(;#7B8Zy=G>UxNqpuySEOa&lWJs_wW z)a`g?rONG_4)4X}Z$IRSoGqxvt38~%s&sNXQPM|s-sYFQw#u#rNB}m`u}XjYhkyIk z-~RF6{-=NY-`KOCt8dp#RbTOvLp{Eys@$$<@BvO1$E7Lq=@w4u7AY49j_UvoTC_#~ zWS5UE;y^ddu2jA4_4hXj-qYtRY#0X!oBGrMzt`Hm9b&NRB0f?Jj+m0_B`NuTy z$ye<_0JU$b-fmi4Gvhak-wT*-Q~_Z6Qqzad>WB6~n#MYi|4+kav+PAaY}_*D?)k5( zU;k4Y>_-60ZgYE0`$JWN4L<+XKP4kQ|8x4Y!Z>qid_EQS^DmyB|2chfSYAlY#@PpZ z#W{Z(1xTXb%GreA5F)i~#2@TxSYOB~uMy%=lVfpY>T>3KQO;@8DMw900fnOTfE?<6 z-?VsUTiia-2v_y_IGYBvpwkw*Z9ZO)b`ae6G$r_e+m=0@)>efqBjjm4e+3{R^waa7 zAhHFa=14AB?;9F@HT{7+Uo2(T-_XL0C|STbiAgi zDL!Kk{%l&JE*zmUW_QKh80sek#DkaWbixcp!~~xD5M<|$d@X()g~@%8S*HdG!iu^{ zsbAwf+HRC~Y^s>Lc*z33l7x?P_lcRLdQKnvT(Cfpeh9&sXoK%$LarvrXN77 zw^K+G*zu~8mJm!{FEmQZy8}lynfl$}P7y|+>Z|6$O*rD9p&EhRsBac(gEy%4;y9#( zwB9~DiIeB*>brz5Y<>X7E5Sma_fj>f*?UA`d~>F|({92(mAjmF;i3dGx*Mtm ziMD~yY_-3j&L=uSAfAepHe{8yY#etv--5Y5kIdl)Y{50@qyM;s9Vik=eS=O6iRS)V-Q>3!NV6^sImV9k|y#9DLM~&QS=>niVaM z!A3YEsB%taE3k1KBaKr5d1J_5d#~8dJRlz{sX#NfnNpE6MlgkHIrdy2BZy3>N!zrH zFpklA4ZB4wY)lxakrIfO0t_xQYfCbhh&5LmH(i3^A2^xZ6B0QuN|B8b7#}B-oe;P* zYXMn5&JY~V0?EkE27y$_r4aziByftH%}ay8R|4rwK(dQz(0H^!&&1eLhTO!n29V4O z&Pk;@((IQ&3=n{plm#QroHq4lc-8%|LYSnX64A_Q!K_=tMFkNc90iH8M5MXU!o{dD z`ZB;?90p1t7)jvP!%DNWt%iLiA1AQ0n>dW)x%`+}w-z1a&jiAe{Y~3TVeK3WR*(Xx3_=+nrFOfk<8lW8_L1xP9q@BoWgc0)`^_sID@;()H{=9E-yO8JJA zBz+jxpbDmO8i`2kj$CsJ0#|^JmbSn=^4%;}Qr<{5XGjH8NAW!byeQ94GbQ7XRC7v3 zB6G}{z@-GZDrbpcq?#Lt-F3|{Rb!84rpQc$aV+CsEl{!u27xXlnhQuq&AwT!=(NQX z+7L)YApW=Cy(><1_M$ygC6&m1ikSwE-3q4^b(#(toq&N?Zv5_sU~x;L2xk~jqXK#H z82|Mn+O5gLRXP21Ap()SHKBT&}5_pWQ7 zj=UDhUx5Ji$!~l*ZrDdB4zi5=9~vCzg3IiX<9#|^Y+VWc1ArlYT5J4<+TEuql^oH0 z0k@Uw97?7ouRrf4lN#hobconoY|t{%l4#^Kzf|rUzVYs}gv#}!AWTrOHzshd26BJN zy~YXR(|WQum6f2Zn08eZgNV=?*0vJ-lWYFLk4dzGNI{?BFQJ(=e^BX+?&QO$%zwit4|kq>!Vx6fl%6yQCOsC zu4{G=aegu&w3LEKEBGLGOm2L0qmTeS=6Y<#*g5hYfqhgQYTlcagl{V;w(*B+A1x4; z*y@}_UG{*t9sL6usuRH;eBayZZ2i1JA7s<--EpGF5sJ%P(AQ;nJcm*8T6<`Y&+uKA|N2WHs(njJq)AQfTZ6>Hr?Udc0K8e`y?I z`2Z%M&VQ;Vl|3!*xn@-W7MvzGx8R2)xLa}m5p^;Ys?>De1fNB_o}JT!3D z;9;QYUUXQuPx*zq?-RvDpZb9MS4s(_e+7R8jOq+J&XsttA_Dvt^(Tf4X@qyp@~ zV4vXCm40`z4>df1PnO}wZ>R-UyCe){G=Uwu695L}{cy0ami{nF%U_+~^spg5OcVTqz?XfI13>j*sEb$n#Cua= zN$UEz|NNaLs=p%+G>IU1Ud2iRQi;<95GdDy)eT(oZO%DyG+;g3sv-@<+c!gx^Emx) ziz8KsYxW+S8M9)6U5ZAwRXr}?cXv50S@az>`^32yK>8EBb`P+SR+Xvx;?!-se7EElkh^vcec`=2eC^{^4n*Rk&^Iv9 zr!*$t;&!d%z!V%~OWJGj7_lpdBOPQ~*Z}o(I99`#B6j)qb8WR%V*}72f6VD`@6T%+ z$jf&Q2Vi*DpI69k7*-`ig=b8j#otsoa_I1YveTdA_7ySVecKFR;u0A9SY-D3g^gM; zhzPB&TI!UaI3>953($;mN`i>AIR^`D^X>F4y4>z*yAfgqt-T$(t{KP1U>`qk@JLOS z=!6r&Q`SJ*bidw{jrir>$vfK29-hBK7+0ZxN5_zQ$5&eZ*yhKEQM=^OuL0CKhCuid zymb7IZG$~dSLosMytFZ5ZLZbxSE5>~RESyX-2D1j-~kBt+A1MTrkWZD1#h67J-ln5 zzuF7AMl&UP02OU>Vd%)}T-3FeS?66Rbpn9cD<7(V+Rgsl{GQlftW%sz zzF}w7Uz&qozpezT(H|^l*Q)vRngS>5|(WRI#xl^dQ_7|)gB1~h(>wT^`XgL zclN45Al*>gr_bp?4rlBH5R(e8a?JE4*)uXd%lbflujKKd`21Cm@K8O4xuD}VUy=m? z)PN3+Hh_S6uk`fHgw`7ZoFpu095of2_l9%!uMbiY~i~w@S0|^4Lf#pbR^QNi51l=4|44*^*(TNnI0dC?l8SHJD z*PYc-19Aox*Fq}kK;ad*B8N+|a3t)s9zhIR9!lEp2Xcw9At>o7a#+O<`l0|A!IS*1 z%@NSHDb5_Q)0`%luy7`Z)OWZrv=v))aG(!aBDt4yA?E)RqYB|x`3E3b-e(>3-bNB97Z#e6m7i~9Prf)j+oj?JXWOlt`h zO1m%vjRCZOq)rNECBwo1@}a>DMiYVYIT!p`vmOz#Bv?KPMFtmuPL<>oY9fJ3Y$7ZA+ zG(+FWanxq=9eE_ff>ZQl>qCATNcbn%hqbI~wW_zY+UM(6kSoc)u_|ch&}_yP;qW-g z8nCibb}D7#<{RhIuDc-djJ8K|!>XcOR9J&&OvVDUT}@jLB54kcI!4on<2xH5bC#=y zR%PWUrb^4z=n6x`;FzX=hNpK%uNCOgCdCI-d=NQZ4j4lkF2JbN zC^BTbixxFfJFYrC$*x*|M%)OUO$J0lT@V{)=u(&dODh;F3A`b)J(g%R#Nc}&^rCd$d@9kIzXjN7=s{^DLQn8waaNuE_tRlkIjnK z2kJsywwy+m6%S_>2j|3!TCIiV`Eaul>&FHcdtV}Lg~lE-IswGqAl-B~tx4(3?o=)< z`6b5!Jz0+>qGhSqX+O+q`BtLx{I?u2emGf*7qhyc(Uxl&YU5Q+t!w7s;xx>@I z#GX2Xgq+ng$UtQOSXfBru1cBG%`l11ut(>+i!n6&SCf|%{M$=8Op#h*HR{>AIWuug zW%C1AD9CU)m-_xJlSyv{FA-5n4sxuBIKm`O<9Sw7rseU>Pn#E=JUXEoVevpxXXJ%4 z_WdL<@|$8)*5ryj+X4Zn-o8RVNHQbCNzc&v+uOhAa4OtPt#z0JMJNkV|-iFyPMJwHijDO76rdU05A$s(RPVHA>?XGD~* zRGOb!rHA0zr*W9ha;lQaQi@vFek}P8R1ZgA`UqUliRVUhmWy#FDE=A%elr6v4-b`@ zCeogZq`~?Jn%#O`w(EgWE&(zP^x4s&-C_p?7-D`J;mt3CPd-V@ zcVhyWaHNTgFzEv9cF(^!UjG0zzX!OCv=$U}VqW!j2c+^29KtkZ0f@j*>_GXga`HO* zCv`(~txVv$*aAXbd&;+4;N9%cxl|PAG%BqXJf?bR*?c?NX82MH@1qT3>kGz&Ka9B( z6;PaJ`pKt}AX;|jP-U9o%9J)=yFSt3>9L_-;4T%5w#KV@$lJ%VyRQE2Do4&#gktb$ zP{X#XiWT#=$OgDH<-95Le=W>R=jP|XYB9H^^J1-1p*NA{_0#2Wt2<}EU#Lag4<{Y$ z^PU4S4_Mjbi5-WNJ?u?sGt2X<{~FDajz-=9JAvH6p}yeUMy~OiPP%kVG}(WC1FK}t zrhMS&X#|-zB}ezDbrI1I*9I8XBX%tdFp zRn>*p$1eaN)vfZnxGiaazWSU_-h$sD!ia#-h4xKzZh#_fN>2oLzAq0muN5nZXIO14 zVN5rYf@k3d}YIyLcSgigxgRCi#0wZ)my+!WHTlRxe>2h*;} zD~1tPf77ED|DrL!-O}>UIBZq1-uL7;1NNDb)Z-Kn5UvBv<OB#>WC12H9^jvu<6FoupF*)c7@yMmg> zUxcUu=^>T!NkE?jw3hC$1o0;+Zb<;cevdny$ca4QAJSSVL|vMu%SUc+h)RNB;U0f- zE-N#;B+h}Bi?)0?$ai2c0ZcB!9yn(e-ywax0|(uY?YN!_{oYdgDoNY%sxa2w7t2^li8ZJzu2LZ*QrLVxbdCEQ9lE(vWb#m^&6CsNzSa zvodw6-)lOp7&nLvH9V=!Ow%%$P^Kx1_6@LuHWMTqazRGxN@Bbw#R*fqow#$|o;&h% zF?~>Kwqa4{EVC;Lz060Py~VF4n)I#4l@27g|%3MNDR=xn?bG;=inUF+Hhs zRgQ(j)Y!8rG_S7vqEcVx<-f~ZK1{R0Ic76XA3^*Ftxu0r+2sXVpJC13%}eAy-5sty zki^BYLFW<}5kQ9EB@Y=0ouIV#;mM@xAk;65o)b;mQVS$2rMm5zX#3+RBkzEgrnV0rs-$k+SjMaQT(BE=y&49J;0lG{gz3v8#%_JjN4!wmzE_XrDH zfItPnGbXFiwxxp!GAqZb(zxg^IKS`g0^N?BF3pm20;={J5m?hT$HEdJRoJ%@E@VsI zCb_8~%A`8)N+Br4#@#vqh(avVSq?*D<<%al^^kR-VJkshUelXd_xLIoqx zv|QSGe8rlp!mBM*1r860ZIJ_N+(rs8;4PUHgz8mokcy0y?-jTkk?n^Qr{=Do2yfiE zc3-rIGp3>4aJlZXtI>SZAX7ofydd!RMBqi0a7+vkI{q}fi_Ym}-plKSjpEuVYpT{_?5L-;bgndE5-)N}IQC;p zvmN9*YdoymPi1#_WxU`h9?i9-JW_lKL_IZUA(rmX4K33RNag5EK+Dgx@bhurpDU4h z@!9tjBx}x~Kv+1BR28SiquaFIX+&0z!q5+lGzVCU_FGPa#$R|8?2u1C0Og}= zPWy&=ALx%`hW~5njfcIn(S>%p%u?KXo2F@Nggjjf;Bqarc`U|GY6+UfDc@n2+FXqX+=WH*bwFR^ zRv%CJRSDuV@&l*~fp4rT?~}WP2ueEU0`S?1Wl(HO80Tfv#+*6P=W8%GIT6t5XuV;y z_}x%ET@UH$b8xwSACUFK35a7o%{GUAfpdbo!y-fW63$zL^9ex`y5RQDWD02pi@7pfh}7^#$s(qvEPS&j;|JJVt7C5SaS+f==I^L_ zzGM7g(o8eeRYhA!J0ztF=jlWv^kUN)nO50tk2?t%h1~QCcl{|-Hvo- zypj;wIq(`%C-q|rwjYK5A`v~*A{oE7)A^n}vQi2`lve5nnPdlRiOA{Ccro`>W^j&6 z-cFDJLn^~38OiXSGUG);60p0zVd94i@E{d5fFFlRri2omAumEw3fpV4R^WLkB%UY8 zOG7yS*TM2Jejd4zr;>qndVKauyF-@nRWhuWpjE)=4{&a*%Jow|8ka=q$Qz`l2w7JV z{Hes|W!n+*=f~)j)Xc$;W^&+x@B5=pqo(SGafEE(%#?{o8HP$ zH0JClj>$lXk-Fo19`<+u3lawz-b759RP{_EdB^a*z>ud?yu;K5`L$XrDuPi8O#;PtaW#sUTVf5^j6C4)LlJv_^p@B?H+-IPq|5DFaBcnHvJq1iydlNEr_=ruJaM3fT{IMzzQng4#5JF*! zAh(~d+|&Tr4NpvxB%Y{?_PDrFNDMRuKN*D>k;fPTz8Y$Ym-tFZr>dtjp^!GckK+;( zCT^^27K}OM>QIj7_@n}yIiCL$`cJ@7`6Sf=NC zgU7^;*_4=elQ0vhKmRTDlt`{pRrJM}d9x|i9m0D+pcUQS_?)-T9(d=A%$t=q=9>%lG`4~o)tU$0dZNh4eT9_yB_&?s7w<7KEh{yhFdyv7S{Wr zUE}t8*)S@azW0NB7vH)lsBvJ8R8DIDx)yLD5Z;F@fc!3}8aC&0XFnEQ0l0GbmehS=avz4&zy!~v zQN&2ow3Wc=vGEo|BBN2lm_N!~^hp$WxB{aByP+Xhf?w*RC*-HRQa(PJDEPE9WYA0`$X%d{reF_(?h-4;r(?| znvl{YyN~$G2p2;|OUtFb9}o#LHi%A6K7HujM-erQ&P22Vl1ZzwLEtmH?42W+ybi3H z()i(l8Mz6raqu>EXzT+*886O-#!*)>;yjLpDQtuhiPUFWubJklwAaN0$Tm)mw2D5A z`NPna4?XAj{AGW6{;~s$;en3c3RxH5;?mAdc~FLFYWdj2svT$n>zP^Qojq}RIEHaz z`MBq3`I@6*p2(`0%)oEoVdUKh_&Q2J+Iwjbz1=o;ogeZia%FY*(xHe{Q-!$_G>-gy!18GE1np?&lI5r!uNQA2!hD^ zIjviaV&xR|jwU_UE6y9|EU07tQD1xw{b}gQyUvk3i;D>fBz0Z;aOBhH7k0-YKMo9~0@@5pfG_&MLnTRR}r z(RxZ}-K#=L2NxQ-W1;?3D4@#t@9BN03iTshC~_MGlTOO!@;sDB9>a^}g{r)0EHAv# zNTa;BH!}DZjSP%J)3MO#x=>vZ<662gmlvq==q!)&9o%V558QkugZ15b-A~P zlrG$VOW`uKd_0)HT6lV0xG}WGUZ2Jn3XZJ*`R{2eYW2b_Z_9w7o!*XbP*DRNyz7R- zqWzaT5?RRw?sb^c{&;lA|5zVv-YA*{A_k#^VB<#r3l4cW1R{ISljTa!l7D9sRYlI6JuJ@lyoCwPt?;;YMQYoGj2a2;y+2i`);?fV`?BuKucWebZctZa^|sMKHtW z4IqE+s&CWuN(Mu*sj3TJl;E$Q_(^`*w?-#LlAghXpDev8)|`8tFDEgYI+ey$3Y=)W zFUec$_qpJDVdVffLx0OsSK^BvDxdJMSYMCf3_+lVsLxBrIY-Xg8EeZ6of9mjP~Z_j z=luA)X@=c?)m*NcYRpvGak!zy`oMUgm@Kzeh9tTn1s*C)rHOllcO- zo>%S1Tya#+dvNMM-jz5#`K)S1#g#|I;et3NKm6Wx^WwQQ4|+)-pqdFe`js)0WG3Ws zDm^XwXMWq-@{{DT*j%pWXru$P%v$FhDeuhHq7Bi3(d04zBfsD<9;*F@?*K-Y+J;f^IiX9u9IUr z6Zd`DC3lD@&THXr{Dh_aXsLqjv(HZ*U~TANj`!LAdW?HXG%n_o4t5V@F+a;F>(AqM zG%GnY+U}2IWm@5yX1%`}+uk%CMTnQx-~Pdf9#A)9^gaT9#<0;k?X&hOx^qpCtcBc;1qe zhszQ8TfD6x@`Y)!sEi0XwpB+*lJM@f4iZ-t;SBg6+exOAK!0qf(WDk+1ook}-S)^rTgAi2!kk~qMxT7NkdS8j+pQ|Q^c|}miZXTKn1WAvKVy!cJ zXt8SwL;AopJGlCgn{%xM6djfQR8T)dKC~5Wv{`9x^uEX+FRJE9&6?HQl>Ah+yM4Y# z5aJVVH%l2ltD<~>%!{%=`2M?hjK(c&Q-EmE8K!WF?g@S#4X3h`C5AJ=I_ej3S!Ugy$?>?a_l1g%N z>vh5CUk8Vdupl&?YXYM}N5@cd^3aIbzjLshASnU&l^)~zQ&r9kA5cr9d=J;73r)KM z!dl`t`>e{eeBpQreFeCHe(ySdDzVjzBZm+G((BT$-J$oS=vd*^J+{;4Gg z8aJqT*rXC3x0NUfV=uT;@{8Y5k$+7~L%!_9x8=}3 z!t90<76LfsI{X9CTKNVG!vNM4I>enzeu9|d_ipQY#6$vb)}B^S5M~JYD$d6oiFYN1 z>s%oCA%x@9oQ4Vq+X4_2w!qC59Eg-_>Fl~p@t6_2Eu;(%lI03!H=?ZvDGSpNXbd-p zqMNrP`%dl1zI!_uIV{KSYO-FK<IG>zwO{jek18O4foaX^u%Ny$P8llc^>Qgn;Ot_{|~p7et2^7Wj-`HFnujzi05MFwxF^h2`(C@^z#bMggHgKro6tt$P~ zAE-z(ET`gnIy%S>H&>RN#Y5W!*%CZhh;F^|CTrWThAZvZFYSqiwP=B}YZf9gipQt%fXW_Kl(9Nu+PB`PO>B`;HDm9bSB z-0y+uwrGc1V@5?@3}v*nlO}dc$$3?+RSd1HPhOJII&LfnAa7eb9cED)WEST)UV+0? z*L3-rMpz_9a8^Z6B((up3V7o{kXNo&u>I(2(6PK}nFR5PehH56 z|G&0tM{?XqqOn>_I7LMuLeUeUnFR{}JIIl{9teUYnjk>o(-g;)vqz9Eb1$$L*p<7k ze4Rx3GOIuUWNUh)kTIAhnZNp?KAA7M!nME*Ev0YEeB|U5)B@BA8D<-5J~u@I z5$XoKDe_nF=ml!!00&+cGRr@2YWo@Bl(he<|N9>}uN=D=8A7~t>Zdap>@6*#kb;gy z$vwU4pV*0_P~&rZ?A^>yxMOls?O+bPOoWKx5L?XOCSYh#2!FSIJMvP~cZi$)FDEG9 z6QfdMnc2Fl&duNmdxYkiRL$p#b0BVSyGyBY=byA)G&fzFkrv-rCtS}a6ExP9y}1Z; zd}NwM$_aXlw{RimWv8U?7&;WC|~&Ps<7xvh-Y* z7Fjst%$(pgSqt?c-$?=j6&^_8XY&B+;4u%oqfR`D@Zj)Qr_Qgmi=+L<2*(IoC5ijO z2{~wKW6{#8euKCZtlH)O3)OmuaM=m@Qtlgn{o&sLbqHbw!2T1mVqJiv(z0WoD_Ifw zY#*%;Xjkl8$l52LFH0+$>q-7?7X;Kfnj9Fj7rjJ6r+_7%ms_Oz1M;#viD3|xQug^0 z3<#4VM0Ce0@nDiMg?*FNJSQEN<~n(ZTKvx7EzSN)<=N%{Y2A<4_UQ6BMkrQSji>Wr z(yO62^i-m`imBBkxR23^`l{Tt^|t3&w|&zBM&)S&3E9;)zKe!enbWS08+~1WSdmJ_ z%}WUUc%$Vwp8Bz8H$F^mIktwJhJhqC`{p_-Ny_}F45_KRxo8Oj!#K+Sn!3aO#`)!M z({=hVZmU+}(kyHSV6&$Sb_Z&yiuN>KfLL2o`KBtT;et`wZh`SuHQ{vd&JeB?xS9N_C^JW<(i70%9%ppNUPDB#W38t5lA zV9-$i-R5rB`?zeNeOWY6=W#g6yKvB~S5w6!vjP>VTCqfln-PZxj^IrkfaHJ@-{IgA zVcAzNm5Gm8lM{`mCI}osm;VGgt~<0fD7J-OsE^&m5+n}@bda*bP)VFvFHdKBcNe(7 z-2;_$Rl`)?fX0F6^wg<}{KQzdRgFW13#~A5qeLQycA#mm{QlhbNHvMuQrCX!oy+cA zXm>}8mkZX6%}G6tq-R6@9?n`GEdYBs{aL~=B0_qAaC0N{;1k!oaboFWFTS|+0Nu+( zM|}-sQDDhZKfJi~09kbt=LZ?nCBTKH?Ga5%Md0pypOn)B)Xz8S7}<&tf1+39G00;k zKitR@Uo&~+Ey*>2$6S6A!*NzPI7p!ukXEyT_j6HD$BwYJ$xsy}D~e6|nPR8Y?<221 zyO9vV1~)`pKGB3ibE>-C_yRK+@eve}_CcYeiJ}2T%&|8b6xtM(EMXuR+_#*s?mi4? z%|H#PKQO>%6n}^zFJXDHzoMpgt*IV)u&{Oj>;AhCsNV=iJYwgsafa*jpbai0?)fn`c!!i)ZuTM) zY8-?|26@taMqc4uuvp@VSpsjtVo3cAbbWPH9N)4v?(Qxb++Bl1Ah^5302ADUdw}5X z5L|=16Wrb1-Q7R(yZ3wRt@rNxW2XCbpW3@>SIw+hXS%y+BDQwA8E6G5+kxof($-8F zz+w9uHBDnPbjFy_WUYlD))Mo4%;$v&7Kw26+^ryMcc4i%O{7_54~_9aa`93%KfGek zgYaVbs7}oKNjmKoR3x%)vTRJN8@j*RtV|44%Fxx<-QV;PlimeGVHm}q&ES!9%D6IR z!v2WlXKJ#OD5vbQpJIJJkZ~^&v?&zVWXt`g<#X6$EEC2QbBSgyc*@vp%~dziBg9PU zYVy{NSqFo{)p#7ZWT1UQ$V_BF=J?uKO&Fre<*nY}u3xA-F;huVk6#TW-ShLYgz>V3 zd40@)g7Z^mdRIa`ID9VN#TYi{OVXcQFO9#%KwR%uuS|4TA-#?W%e5t%4zIfwISQ89 zRUw75k96H+^vdsZTN z7;Hn^&LLU*3Mb}lUZWJOswlH{pac)-(Y6ihRXEoi_@jX102#bLI6&6Ou3QmOOH{&a z0L&pxx;;KQ-sI%(=C1$p;1Ps;p0=GGz2Tb5@m(kG&7wwrsM^Nr z2Jeb;&&hPw*lcH71jvyb;hP?L&*iJ96wEDCwn%&k%&(eYkT9v;&OK-C%pmhfPXSSh zI2->Hg-pnq(=4B%+4|uq6TR1S19q+CSl?85sdCG(?b38cu`l?IMHj{}I=CDZqFBbb z1NJ;*sf*0|IwYc2UfN9jpX>E;c<(I{n zu?6ywmTBqfkA)W&)8@TmcgKru1}OzSA6Xp7Gp}((D?{$Tb12+G$~R~3Kx`2U%Yg2c z=+|Z;Y(@6cEVXid@OXp-iy+vJQ)T7VkP=S(=PBggAan^*-;wZ5sO^lOv-2YC??d1v z^?sx`fQGY(6~5AX-f|#y^QRtfV9Y0+V9Z#>M2AobcGX*8Z|^kAm6p|XK1K2Gef6W7 z^eDMdq5Ww2;QV$;Wqf%$E)?G1`d-9!T0hA9v*Py$v{qXh1uTWu7;fY#{`DPn=q8^t zZ3Pb)zAw!Dr*q-?NH2rET#sDuIR9vD4z-8@o|RxEUajY`w&%!k*8@WMXUo}gV>mm( zd=an}*Y6Qdr|gT>6-V5Mky7_2#aSku0-MtJ$EP@P;QV9k^HUxV+x?!xlLnKH)|5+V zG<@mPM+yl7Q zUPJyE!C=D>ae>i1L%IQt900B$8yld5BY@4ul+4b`$OH&rcliH%98MPhI)=c;!om)4 za08NA*g87`$sCM8rhkpBK~|VD>5^n4Ve?j{O?gapcBx+*w(?;+5E%a+1khv zU~KE?WNSlaY~*>4*8p%MoB> zYXby)pjiUR9PL0(W*`UPKWLl)SD>4e?enewp0R%c3SvUfW z9ITB@jXr=)fi57c|HCb=|A`K;v-&sizs>%0*p4R7Hcl3{4t5`onS5+OAKv~AlN<1# z&ipUX|Lwi8^Y_1^S%93Zfi{1Uc>Y6(4#1C49mq_ajU54wASWk~jk&R{vx5zg%*4Uj z(deHv{dayNkd2cg0^T$BC1`hYwvrPCzndGDjyPQ;@Uu-{JsR z**bn88@T`hMovyZ8&e~jj~cOc0XqE6x&!dT%oJc_Vr1m>?*Rfg8{nJs2R|z(zyb6z zmzA50k?dpN))8o9Z1n;1-{7qrKLVuT`8$CYU<`C{aQm;(KY3>5Vf~1jgZ*Oy8!v$C z?*@UJ{onZ9AGP4{k?xQ9ZLL5yMgY!_^B-mUzln@L{Is+Jet`djLS5eEV{_rHla{)>q9uk5TW|B1@c z&cVps`9ryXa!m^`wKe@GxWB%C1ZQFE`d7veCs?`J*w_Iaf2Xmt0{#MWAfTgzfq{{R z!F{}gfk8lyw8>O3$RtuZRackP>?$L&0)<<4N=9nbxLu!~l|)~lsF3hjs^RWKE{I9a z>|d+4dvHdgeMORzvon2TMTJWSMN0EX)UFRyIFG;s5)HxhFkYacFpR<08%AER(Vx>D zZOs5BSD9@l!Hd;Ev*E79Q@pR>)0jT21~}vwN2B=`#E*oqxoz; zRSs%uB{dDBz-e86>QGT?BvI-MQEHc*8E1(3%S&6s_o+Jo^`EFtzJw#yB{!7}RB=Xm zPiiU5egy$)ryL4L&-F{s8x!iAB>82rCbegnfs*>}`Rwx^tqpOTt&Mpak@ty9w*Iim z6&a!^p|UT;^lJMqr9-V2{DgRY@(1X-1DBtve}b($whml|rX}(D7uVT_<OC+_(_1}uEeYK zCyO-qWwh>2_(`6S${Qy4f!2$(etBID5qll%il7rHK7AI|oxFv5G%1(`iNnJ|6k~_X zHCK&3kFKWxD1+e=x)anqdFGOCt%ZAsxvR4Q$IT}ABE}vruw~x^Dt{&y z+6mKK(5>#BR|EdiYuDLRPEnw?-Y)`)Pl10DjRvL>rtH0D;wz!E4a!b6cvW8gC?zve$C_0z8Ys&DFqE zwN#BlcvwwTO1=!y>f=ZU7R4BzoY)mY7Ed)S-#3hF({Wu(9e?WCx+9s33HJ(?Iy}jV z{j2^3YoafxA4wAjd@Jdv1rz(@ZbjH#>Sd$7=h)5CFk*Gps3TqmD)oO}E{=Vni4+cC zjYP%!Jg)Cw{?yq6!#$g5i#!1Dln_ux7n_r0U+0JB4xcvg-4s`n2r6IRoKn}F-KwF4 zNh);3ge=qz*3|4E`9NS!^9cO?Sm@;0~gTMV$3DRfQ8Z{Du|{N z2TNFE_s){Vib1E!_EKj|4C}J>R3zNRvF~@FWsAOO2&oZyI{N&zWy*4Jj!lKZsmNHY zHoq>cAwmUZ{iR}T{((&j)m<DYv%YuMRP-N^GSxm*8BW-H+k##A@w=9pRU4cCy3Nqvb$zP zia?A}fwim=IiV>XVKcf>pUd71eOEo(x^sWf?SoUa<)fv}mpPJcta#nWRWJxQU;C%; zHD25hV)e`=hrt!b@a-GW%>wnmHq4fhxw-^PVBR5hJ$ux&ZX|RL=ua;p0`Mt$8YqHn zDG~+-F-nC<6x=(-7Pm50&&QEq1uI9gP8bhz)n>UFOpoL;+9OW7m{nYly7jCSpeZ8t zF&FqtNgftw3T?<-e6Ts;ES0QY2{$x&g&uSQnYc$|e{%JU23pEvod{tll_SY|jF_&aEn=6w&>2fU|6Czn4P@hN*pnz?20m zg7|<$5@Y#Nz>$rIFo$EVTg?g(x5!XWNv%OI7A+PFEx2RMVH)UMC@KY z2E3WD;?pM8{yh{gA-!K6zDOj?Gx^P8(8}ljP>CC}T57%UsZeU=jGA^BV~pfw@{Igw zSHufEDCT9SN!d(JCTgc-lFQ7<<*Ob?xBk%941Bwf#Jm)T#<{JAlLR@;kFRCnFlvif=)AyGy{T$u zcdJy>(<+Ii_U7~Wz>M4K+Yi@&GhbNGKS4d(;fOqb%*1|8Zs&Xwb;x#sx~;D7%DA9> zAaTmT>$qJOz;?M?=JGOdYSjVu4Ac~jG#uM-;W7CHlz}(RzlDSfc@e7`_X@#0uGxFd zH&`?Z2V)Zich7ka4Qo7K2-t-nq40bPobiJ}jUd}-@srRAO_ApNE!_B}C19+h$zjx! z8+zX!Wqo{6NzaZeHsP1I&fx~X4_4C}7;h$F*q zqpQY>PaNGnH$Qn_a;Cr3^+&qjfDf&U%yC~Z9<)z?7s{hfq{*b_xkC~&B!5N&i3fjE zv5K0aMEWiC2e?Xi5oo<=14~5P)HIIFG3hwHNoVtIWv=nO$g7n7)Shz>v~T^0z!>;b zeH~@F9hC8g@boQ=U8;{yMC=cYh-RK%4xh6mC1EXd#hD z0g;j}=qiwcyx^Z@ENtX2GQMOqiY>_%sW=T2hbtmbpT>3kw8A-F)kPvtCfsyHN}f5Q zVo_i3Dv7p{JKDG&ewrbHzrwA|g9miYTMk$&W%9vlY@dTULyn@BEPqoPLRc0ZqOlP6 zz%Ox~e>%RnN5h=A)c1M2_PI)8JmrqJ%9v2^_C9!W4c7Etz_t!+@q{tBD`{R-K^shS zn0oyA9d)+?V0(s%F59w;hdVoM3Opy*5gE4;ZXr5g9c`6~F5FUS(gXNJ?|$QJv9{y8 z6T93KUcuXZZ)7|puz09ns%r??%yQRRc+LTlD~L%C+E-=GLGGTgZB(~pE-_&xz<+#201UEDoPU*h!4a(7&)Emd^;q)C@+sfDSs(JgVs6QFK8BZUfX(t zD&Iq}dpNjM7v6?RsuRleZ9p9wP@5Id`qC3DjbiPY*oIv3!sB!V|IlpQIPweWa`BHd zSuO8;He4iNa-d8i zDVS*8E7(pFVy2OjfU4DKEg$fQi?j=qbet{|Uf!%%pX|-czOJ;|htX1M1eL$wtdYo3 zk{~X%vh$IGUViVe_sxw^+gtgIAH66rhdOHAF8ivHn=yFWj+%LzIWQ z74F~2yh<5Sc%~k9WL3pD+@t++vku9!Yo!A~-IPSz*P4#oO-Q`Cde#DK$v~cV`U!og z>UAZipl{RjzxMY$```;g_0NdI{Au2hykfPvs~p1PDSzyr7hxuRKKMkw^`oS7t%|H- z25TASc#@ZztVHlVV5poi1zkX&sp6Ho3CwL`02SN8o#IR# z-K4{t+#33=9dCuGZY$bXn)}k6YS2bW5uYzh>h%7)qJaDB%P~m&k(bfRU5H|D?g~6t zQFHIyMyMR6{>v82Nf&RZ*qZN8d7g`J3rFTQ2UzB0HYTimZs%|#d6>`qh)KNBov<`F zjp(?^dC@gP%{)1UiwE#qu3V%}YY4px1b#{5KA~dT*Ycj-d31uL$~;Pq2f|Z@<38lt zUmG>AH(VZq(9u-Sc{BK;#IBpp^ACRp*T4?DIjE|EJ+@juFsRXD*pAQFIJ&kj{dTAQ zsnKp;&I0Gx)p*V!w0Ut9!+onY;GWxz4*BX}W$?4)h~ylcOWBN;v?f{r&cF{>Atc`eOKOQM-^eY~SijYeRp-#AQfw zR1|lBF4_tBiZ(+{>u*#i`h}f?75yqZSnY*MlqYg0d&MvAcDQgaaPAht$aN$Uh)BDP)WAEJv^UL+Jv3_A#z$D1&+B0IAJOk5A}6)r zE@UEpMJti-Up9RlV}CC6t>!B{f*JV*NqKvR-N26}veKHoio(stHI*66t6%!3JznkI zcmU6&6>C-Tt`xiomEb`xEKc!$qf+Bp<1X{)QQzy>?zJv|VstRZCD5#B>z>io$OG)_ z?e2?Uc-Uo;o;gd!%4UUPp+SdRBg&TkDjJby*&ROkHUBkw<@vkvmrDLnu7`{WY){5zudnDe%$>pB(1WBGSGM|# zV6g<}GFb~qWCK_~}hB=e{O#CA1`z(7y= zA4#}{Fa)kq0pck{uPjOE10}_;tUlE>H@vSViWmbhBSk%nwLdP)K@M8vjt-Q~S`UE-qOq!sWT`J(+* ztkckLHerv%a?&YdlpK&41Kec3!f2er!P8SmIolp>fb(vl#;mi4~F?^hS#&S|o@j%QpvG>W18 zDIk3@ZP1s92Dp(aATrFvrI=w0b2oS0Wcl`88a*#bx*QbJspkX9-pG43ToAQsv~8vP za7#i|$y@B<(6srf;Ww$6oSnIWeV9h0rM5o50aa33UzAb7(ho?kFCuC}BtE-6D;z#Z z+>W(!_`^=h!4(i?T6ziuITC&Y@y-JB}C&Rr3qx&PpTrDgn2huy0 zk-vK#RvHwNfm|et_u6+Q5MhNA4I(=(=JNR&+Ol=2t1b%ldBc3H!z(+uo;;YV$`9%_ z9$cP+O2Es9rZV3k0*(8_eyg~td3;jdw!H3UiV`F5evBm5Zt-)ZQIPIf2H!Vf_qB_J zG)1<~wP!pCV~ja#0T)C5{psFn?)Rrs+Y8DcgcISx?+8FO_#5|Gj+#5M2ylgxg@KuV z1Eg=;Kb;Y#h0sIZLhYHq2^1+PJVrP~0%4KXe;g*2FLF1_N#RnItt){uB0;Ry@*_Pg zlO@tnv#n>vmuL%uI4mZ4s!-XI(Cmy&W-QckfKJDX{KdhIi){QY|(x&YC} z{gB~J4?X2v41;Msb#ov{0EO*T-^@}Wt2Yl*TN<_OuCqt!7jgMYv2PzMQ-=BJ@ahJK z2S)UZWt2?Wr4fy=NCx_HE(?WFXbOxTe1f4Iq}vEq zH|tOjv8RpU>vhBKm;<*mt*&e&+=J+!e9q_3?=Vt7sPMo|UeA33ODiqLp^441RS_F- za$RSwZm}DJ*cKWz%1~7|h`!AYcT#gE>|aIp9am%vIy0a|BqtrWGBR;xJPxyuipFez z8PDY>GU$8hS)^$$X8E~G79qcJo`LCaJ9T&s#i)Ej26;Bs3dU_?K}`!I#nDlV3Mn__ zz0r7OYT@}{+;*7uvx?~kYJ!037Yv5HBPzD?UK++U55+k9stx>H0_;NcH|k!o?AYc; zG>z0+578bdUDDK50a-g6#t|=bapvbg+y&<+Xa_K!(X(bMFu(2Cud~-eYWayMDL!>_ z=eC?Mo|H2WJzYEsk@9ub?p_Osunzz{@A?xifRvtv7Opp>#Bv^*Wb-v`k~|&goaGqu zD~@|Rwqtk5_w3%zkB_IL%|y~lZXIzK=&8funb#TOij?EIo7h4=68ng0QEB!k7r(RP zXCHckx?5RLEGqXg0i&qPf93+AoBcw*kn&x{(ltazvyz8qm{xnaZOLM4iQDRmE2uOt zEPNw?_CY}>kY=PXNcRWrq3`=Sk2=*(KuSNnq&aGZdBOVL<_SaFFsP!%sR5USRee`F zYC6^LQO`dDN+yI`r;xEU&nl8 zO@6-1OFYf6vd-`2&Qvl*EhKJvDKl|aEZUiUy`Yp@-I|w<9?bKq}F{vuxpju;&^B{Orx@P zv$FPflgb^QoZB@9kv^$n58?M?1tCwv@Sny#Un@9?SFWFx7kGt6Pu>+zepx#2X1Z9V zn_-HYuug?!Bk(k}WYFmlS69)GWbj;ybQYC!%5(0V5CaUsW4t*{k!DOP8u{x-6JzXV zD;b4hRhh}#x1cutcLK~;x!2(=a_c>Np&U;n(XF5jy9){JLA>bBPm*8*3-}N1i4`19 zLI>_!rCr5cMB`}p2V{XVx&D80%n-)x)u1EQY! zkF5mdAJBtf7j=&dzEkq57?Q3vJrjHOa~32d+K-T|TU|wVXFehsg3{?;ZZPM&`)Rve z6+(nh=83o6i<4)~AgHXDSM^P!-CkK(N9uY?)Z#&KVyt)mQdLM>Ru5zle zaiZ(DSr7fvIZ~(VkDP3F6sBtq_0^816TDB`5sO3p#>V6IAP&sXJPvA<+w>5c59Q9& zJ$(g24t6H(L-injFsLk+R!m%{A;c@B>Aw0acqSg>8y$&BM5MTq%?iMgSMRuewsmNB zll}zlR@6D~9ouumbf4L+`32rt$L_KQPqAUIO)Y2sRTCCRNU}VR=MoMFsd~e5iipaC zz;4~JZv^0*!Y2Q)DBE45`gMO!Ec;-kIo!_{Q3@kqr6^n_8tvPQr#v3o==b_Ky}^9@ z8fo3(KyBB~KELiFQzY&M2dbPg+py!M0vel#cYkMlGrv_ zDdlo9TjuAQ9f9~La5w7guZ&skI?ha&TH^S78e}e@KWO~}?zAra(Fil~#|{xG>i!^x zMsh8w!Jgg-OYRw|VM`Fjsvo#xZxGauTR1^K+&Fsf#^j67(_q7Qvj`Hco6sGP%}C`4 zGoMnS-)*33GD70IL`D8>OuriEB~e*u%ZOU$=u?8M0K>yf3OlA<5M%-jVzVtdCyzw$ zZXAC}wAiT4VfFJ#v*B?bgp8eT9JVw89h4P~QbitjGbgj2$;+UEr9l6L7wUq8KOj#B zDIg)YKhWr)4OaD;ktj{0?z8|HM}3&~2s6jdqh`<4LdA?H103${)hsIi11-%i#558a zwasTQnY>7PYtTitbFP2_S$?>2d3m!lFhD8^w!NQv-mne3hPi>KfJ01H@2S4T|D{T{ z7eg2`^tn*PG)qDLh2atGWglsKvqzA98wS&3!gGCFbeShtY-WM`Rb?KiVd2b!_r|Vf zVwY%chZ5@(qJpYiCe5 z%uXKvElbN>(Dp#%>Uqq4XCnoK#4&X;l1DmXg{C!39Xma-xmQe-tFvZ|X1MqH4Bc0} zlbQ-fJMXJ5ydbT-Y=PsvS5H^M8LNAsZkXK}iS|2evY+W<7bo8iu$u^SLI+`hk#n8U z(VeXhTFiHZ5TiDsK70E6YO>}ZhmItE8^c(L40Y&F7_|;8yt)95(%$?=5EBpZrbWwX zcKpWRV6ZJ{Nt_Zh7Jp``slo*+rtuUY&$NnCFD4OFOUDE(Y$=hkZpe3W$bvl;M+eDN zoi_-3@lxcTUd3v_s;Y9O^XZpMNAbAkt+#nG^+t^3*wBB)K|$VTO3Y}6{0?E_MXp)5 zx{Bo%b3(HUF|~rdfLH)|Q#17A%#PnM|6sH)o;Dh==UvD)Ug}?QXMlHS@LD{`&kF62 z?^6)=_Hn~Qf9QpTf~crB5N^)B3%Y!%*_Z2t1zFza#lAIA(hXRSky>Rz;v0|9wdLfD zhalum!)oiBr=7wM7U~gg|GR6pKKnx9T;2j9$-YQ+3UYHTaKl@1i{L07ap*}qLvXq! zqy9>6Md(OUrW5r9`}cvIoO~$OUmhU-Suv z*j#>f`~+Y7cFa@@S_%Vw)y@#Fbwhw=YvgJY?*1SI_M|6(Ylct}9mp}_qhpbO7~+8+ zMqQjuL5jV>(JwtIk0`}l-N`di;!$f-&W=%t=bzU7hj;i}kpf}Z$?4LUZTA&^z0pHc zhJ-Lc!d+G>?euIse#rHfsT{w)+xAq3Qfp3q5X0aB>b>dfeWNV1g#FCkixLTevrwE% z_{eh#3ij`DA>=LdZ6a&yi6>kd(z7R_v+$Dza2lt{x%WDM+;}J z$S$b^FCUTD1BqGn$qy3@1xmdCp*08l!991iy}{F;)325wW;D8#y$EYRB;z&}io?V& z3zsY4v0}P%(4Bx4`Ah&g*ICYdd=295D)|yt)}IhvK{+e z-5$S%UcIH~`8OVi=q_+3Nt9r)pVL-+N#z}hpD1f7s1>cxA1rW|arXXb&l*VPGyQ_0=a#ILQ=GS;0W$~WH=tNIIjmBh?%Q}(v zXimRm25r<=0>$seL#f4#3%H1(oM0^_cqpQ-%V}aQolC*uQYpE9XgtpIJMA4dXe-+AJUO{v{LrnPMWd7-FJ`}{x^W_|}!1ba79IRi{v zI9!*RQ0@m&ZV(G|vdi}clJ;hO6^*Izm`%ixHMRRwBv+Ui9*gdQ&eI7}8l6$1tqf>` zU-HuQkywOo(vK*UNG3Tct^-z__6!65O*S)4=I)e*u#IdQO|2NdGuQ%uUP60ep0W#K zdOm4Jcc3!XHN^uWu5)aqjgcksIKJ|p|yb(tB1;mz|P30Xpg6l+V)-2$J1+m zG?WMzOkKuu!|?suAK&U}9UU!j9KQ1$;b&ClNZtj%{HS9Onbmvxx%F-euUql%u7sXU z=9D`}o;P$lDtfLhOwj_C`=An@u`@`WbXRN*DXrIayZ@ta+r$XFS6k=QO5{U zAeUNKaxBaW!c#FIiGk?|Ga%It?QrTU=b(A%QiH3VYilpIRP>3Y963Mna(P?LlIgbR_Kry|}G2CQ7l=kn7$xJ4X1l)#!bP9G2*t!I&K%5zrh}JH> zPGwGw3{H$<#H0-czhT&t`6t%*0=w)Uoht|YZL1uzorrFabK9Wv2m_l;0H_p*$x0C8a zT>cz6roH{_*h*aUaYw0V&`dHf){G(%Q^^xSwmsx&4oz><(Vvd2%j{rLSN>Yvn_BVP znP2PcgJ+7~TYyV%3#&f^@Hf+BB3-VQOY~1ewDwlfYX?7vJEy?c&dZOD5g&B}YJ3>3 ze>CyobFN~06*FBCOX@(lRIWU;x0$L5oVc|a&0ZezOn5-J&RIhGDU?A!=#m8gW?(d0)N}MmZm1;f3MNnw`FUxmsydK zN7~3>U`ivZDfxD7U3f%Kac}s2dkRKS6^YD-1l{hUA^i_5j^RSPUepgT(sUbkkBOKv ziwJ|%3UYFL@AbHoM8Zp;{2jN?#b$uF7h7fw6$LbRS3W3eM0`3D+#F{ottSO=W{==K zx$HK4TyjDyK5Tg#TE&=*ID^0BB_=#E_bLfzi(eUiygkbe@~u$jk& z!fCyy6$2uMDWLZ^ z{|=ko=!?v3QVDp9`-%N36Mjmqjh^p%R`}&L`S!VW2QAa6S<;<#e(qw8bn7^1wEU-8 zQZ}+8*ita%juuw}j2Q%jag8WqpyCkpiCs}etQ=M&D`W6fk}ldMxzKgaJ{bHyEPmClELRODmeF+~nwhw(pk`&w`9}s45S>Hws?Eq7)7!)! zm#2guaE0d~HyJD6`r;_eoEsQLlI5d=opr$5L$u`C_?(}?di(LuWIb@3Vu}xApPb&l zd_VTQ45s){W<7gdnhqw+NC+z<_S_%e@P}M|%ec>4NPx+<#Rw*!hDb`GP};P$^O_Bx zx-<)1+w;P9*$;%cgf8W$VAhhZr{@~6)OvT{%Z&|rnF^JrP?Ow7*;FFzy9#lyq!;f* zZ?SpQE6d!ehm$^;q=I{GZAf8BH;*tQ9>OD6W%TwY8TNCm+jRl$ke#}@r zKV;dOyCco+gTr{nL+X7p0K*3DThdW`-|u~^G)3B3fW;?}2#!TfMPxmRs zR_qnoF1A?LV_KY&vZ^}AJ55?QW$pME%b$X8zs>gPWx-md=`x7(p-y|qj3&`4m)=JC zuyRKwdZL07@~)_Y7{^91^krVL;#Qlw4}E~;^L{z;yogjR-vZfv-ZKQKBsu+v zrS=Gy zfZrpLHhX94{{TfJXq``*Kz&+0>pk5wbyhPuGe+H|(td@@ zX~u+{9>*+{u~>9Buvt+KPbL8{9+93bm|~h8im64YIN_(3n=FuWso_1cHj+5<`L=mL z=>Q6YawW|ecFQp|tn=Or(<{DmES@=i8CQXX;JhacrUv(&2`A6KT1uI;S-!8*K~hi? zP49WFwX>Q__D@;-Lj>=p*R&a=9s`(haU{`I9b`GPz1fYWRK^T}3T%+FP5-?U54uwL zCGV#AgM|h0@t#U#OKdXsm7V%TZ=8Is65TxEdq167X5sNU)Li@4T4)+96AM+;q6}}u zL@4ja!cJS|6FjcGfqOU-@QFKBN7`*=Szkv$W)5}B9k>F?jFe7;36=61wWx9}I++s+ zkQwS6o2*+zQ~@XUkf(vJx!FApbc8j7Us8{UZ&bD#&%05^rSFzhsSaUsQlDo*#V$gh zF7UC$tHRbxfE0jM#@2X~x{iza&LhU)f+kVL^9e#n1A%#xT$`nk3$H4i@KE_D?`Eca zwdxlX&2IxsCG6*9Hkf)z-M&p~#Ogd@p{Z0dY9BXQEl}jLs-PUh2T^9nHD~fXDtlLo zKj3fydV{1oiz@(wQinIVvRc*y-3Vz-3q26&%X1~~zj;60mtQW8M*U=Tk^&#%Ld z`eYe~+hzx0rYO-7eXI02l)-yMu=B)D7a}RBR7%?Kdxs+g9<`i?Zch@Mns@4t)XCnh zW|XPB>X1T=kwA7p8{GLtqY4=zoMou$*sz(|)`eZLckK=pkGNs_C0QITo2{(sao7W+rUw*h%EE_!ZJgCnM(2ogw*{ zT~^<1A2D;gz&lq78&?D-g++O-y$ODf-TE#XN=2vGX+$vd!ppo?(U?3z{}5Y+i4N$o z6OsanRzC8_lRZn{jRVE(CV_jd^*H{|a!)2$$aw z7Bo9JuQC4|f@7V(a^CT_W5egcums~Yi?{4PxWYB@rgNCXxO%UdPM!MvG6%>u_d_a6!cJ5M zMM3U0g;(w;W?ZwBc&J?Qgm6M$fA;<7K2q@6n}Vv}jH;^(v@wr-ek$floj4RNT#$;JbdFvMwU;vk;3o#g)h>7pPxL|_MwTJ@$mS(IT9Bg9moc|sBpGK5)=(q#?ZUbP*R~~!|z8V z&=RV%$3LJE!+Zjr(#G6gnL1=Zt`&aIbzI)*R)?T%*y#{+?I+4&zzFW%Cz$+1esX9U z9~s!Dgpj9Y_d592G>Xv*B)`J?B|mCITw?Des1`(c84-wLi*t^He~K+NJGvXO$ipm= zIc)Q0BSsK>;wH-%CV>~{K)&7;%x-fizg8fu6%FsRk3OA-ez=R>q&^_ppxLY3T2g7y zwqo&k>mob|bX9g{cKcX!DeBZ4X`Q@nqks4u8A@3F=?m82o*tr(?vBq)_?*qoH4AzH z=99X3gz^_qU4@CO1rs+Q0@SC|eACvJz_TTUn@gL96~-Da^!Qoo4`(-7e20q~V28Fz zDTUQj04_i&&44Hj;%Ymh{}G9qc>c$pp0OPJ?bj)~vv^H8??O(5m9)zPsGo#f7>L1< z2uQ}bSC}JM8&kZ{B4xRY{%?(OvrHn*njOAR@ zh^|65#tq(A*LLkl_oOeINjc1T{?@LP?MkNNO;f0F?58lXQ?TxxY$K`p`59r1b^WX) zXMtkmm#rB23QehX!#Il7=tI^<*V3`^+iSB~)M(M_Ube&)=us>r*kItTdmB))6keA1(wS%KM1D6{LTRu$5q4pECBsKKTP2>!Vq4)E0B0lZK!7 zXVC^#LJ5(B$x%-P<;xDy7b>|&`Zii1Vn5|i$o6mv_Pmo}RX~sd#QhsoUKRAH7sR$4 zg=bD-I-{F4GMobG;g>(Or*e+PnvEO-Wj=@ZY66z!*1MvNl|od5agG{uw3C$Stv8|G z8rsoQoY{G6v(;ZLIdEIAy!4jo9J11jKQ0*oMaKRf)^oczRKG2v=w9j{X<fT#CPAQs8#mKC#s^8$4$FbNjgY^khO>%wOCS@x z8ozbb?V+i{$aIgt-H+!@CxVkQrF9wS7~jn;H`W$>?Ng@V`o&1hX z3n`BI9`)@iVghpicg&EHU%AKwG?CnCfOVI}>6alh7A2GAuUgG^N&%D8BGi^d1K^H> zIFzmdd^o^O&FP?w1}PdzTwCX8Zgw=L>)lk87Ppc15ut37(-Z;@BoA3qurGr>#T z(~bcCyLi8Z+}{Sf`I3HJI*0Z^`!f5qf}^I~T<81(>^!ccuK0M2gi?qErOt~4R0=%K zC;32H6V^C!kjfusRYPU06p}!arR?=_3Q;mmxhm^7Xt6mPK|uA->WQv8y%f7S??^S8 zVN}`Op3;1ptOS(>Xi#oK3l=T`jE<^_DD?n)_-HZaUoM@KqV;O6SVXuT2}DdCCf(O& zB!9p=3Fb>lRvo#)PQPHjg$o?78|m|A)Pgxl6jo*@;Hpi)Xb`#gX~v=wrs>2|MYWcg zs52QUBW*ckOuVYtNscNfNwNRVOn{e5MTC#~B9X zEZO6Kwk}KrR-T*)1lOu-X)IB=JFCKG=%xe>$|An=B7(X#W=p@3hY53Hl-?4^KM)m^ zw@%kf081mV_FF-iLc==o<`I3U@R|wREzI=tvJEm>AmpJCr^i7iyCF@}HZ3tk3-c{N zp%&o*C@n|30bXF`d+cVSi0TbOe$7)W--BQ{1$}Hht_QtetTrHkiuF{~uQ$*XwwFK1 zSzC2cR9LS}B_xd71VTyX8dI0TLn`+F0YN~%zc+IW!)M=@w6n%?!(tBQ4c6&%B395b zU$L!pQtEkE|J1|A24e4r_`sd(8HEYC$)qno7+C(Fy3unO^JPQRz=kZjT9O(CN+C$P ztkUJG60^d&=%Bw%jr>(3$qlt_^m=ZWJD4on#g^2@11~vDkXEBXOf;)?pz}kW7jIKT zch%6dbVw#P=vA^&J#OY&-A|bl1)R-|O$rt_8Gjj*vbdS~#dGIhbix(S(|=)^WO`t0 z2Xw{`+8|C6fdMH@-An>519FIl*l`r4H@lxdV?;XpozgERp*5&~5 z;Q#N7LmA}%bE<*-G_)M{ZiKr((DBgzIcuD@^*i9i9;Fjx&}etQ`z$dZIdg!p$GPl# z;P4-fj$>m)h;fu*mRJ`o-!s`*Q#VKxH^4<6c_~xgc?r}!Ce{$oK!_2c&lz=`?#G_%MZEqKTwg)p#8H}NZb*v?qf)8v zMgjlsxk)Uq&u$jrridNwTj+#-945SneImf0SsX-kCS`KwLf7S`D3Q6MKLuWx1(*qa z@4%^g&er!*FN*nm=EX6+ff9mpSv0g|3i7}e(7x}RpP_t>MVo^jyd+C>sf08Pn9DEm zq6BQ(kpzf*`1ZY!snt_I^D$|83dfSC+EH92J?d>rIOJ`HI8(Ay2O^v7B#~28+XIu& z=%teMZ+qU5VAOp(yg(6cdgaDY_Hcy5DBg~B zJo@tUuj@6$cG!IW4K3)W&%bSpH=ETTs(rJ{gy)&nGL~W2X&^;X>}u8v_W3t?BQC(Y z1SOp{Saq;m=hX|WPvhGj7K6Ey`A$NwbbQ`38ehAOTdV;L>KbxpC9ua5^X4bh12>ps zJpJL7&ROW=ImP!wc`oeH7n1z2+83reI;2%y9-UsTN@|e-H^|2V$$6I=H>yL2R{sYG&d)awJa{p+`1?G3<;G#UsJUFFQ~k=>f$i>8kE;gk_->+ z)qZ6K0xUpPnBT;?LH|Am;yHQwebKQR#HMUN|Hg^LoxK@)u-~>}8F5=3nidBXl-}`a z-F(erjS&B#ulL1XIn{t6OXX<)L1>KIMp8AC@!J2o&MZl5bgSq%O2;d*6Ky3@Hb~VZ zIEU(`8%I+aJO}&*LSFM)7{@+vVBIDb&+9WTAn3%K;YHEU3KJlHiG!1&p9xrh(Ruy+ z+pY(V(-og3oh6+s+D2wR%qYWHC00%R{Obx*XII)+oN$nEV=G+y>ICdt`dDfQEsaCw zNH7H>wT_!clHu8sMA&Z1u26$6pDaWCbI75ib!kk@!_+-e$xyhm$sQ?2q(Xv;nN_(c zj(n*uE)4&>=CvdbqajzD8ZV5pFiK~_wDHcCbj@VVke)k-Rlwv)Z95sLSRRkJ_1eRD z9Ah%;u~>vL3kuT>nG*Ty&`-SY8OMwDf;2Hsnbj=@h9W&cUMuDTUf$3*&85&KSI5e3 zdH}1to=)^Xfz-lKm=Wbl4YWC$8WXBxpqFATVp_HNR`qqPO=35jwRJ(ddkOFZrF@zu zaMNP3IJ&fLNP{B%rE&JoMJtx|eZ@=6o+@ykmuHi=ZAo3gJq!|SW+ zOW-SYETkIg<4wlZ-EEW%^!-p2b*DX6)xzNDa$Np-Fd^SmedS zcnp1=e&~I{G>4pwEwj;v+wqI<4DrnHOD19xO3YNn)1TWQo|& z|L_r1WzCs*-;=VwQXxH=s%MMa$NL4!vBEpd;RwkA-Q+n&raz7dihj2jsit?R3m|DMQCYr%Prv06jeRmbhhntY}u7F(9OgU_qwb18Wy}@!u zjQ09M{qOR`bGO+r#ai9#oFyQ3CZ=Z^OsPNCs~h2CUD0{8>0_v6im;hxcFeJIKRN!+ z5}H*mZ)xH_LuX7@7arG5ey)=Tn*u%@jw!j;;*;KoR`qYp*y%9BXJa2K)q$Z)O_f#( zGu{?7*R`rw;{>bBKHWfHCA(q#XSt=kJmvaX%Yw@ZZW?B+W?557Gc^V~m0MkzHkr$r zk9FNm4(HW;lX1Smx6F47*|wQLX*zt)(q=|q=nXI+`j z8Hq8upF=b!;MYO-bq~$pEQ$B4J>MC(ip8HW0hT(jJ4h0cR^Dz#8=qUi1EH`pLuIg< z)N0IlT(|JSy4{X*EncB6QU%`?737NM)fCHV%VXtu?^YJa%;p6Q7l|~N>$lz`u>cwm zeyN(PBg!NuwUi^L&!2clEl%A7oPtLQ%Q50q{Xw$)-P4Gy z<^ykAG+9+a+thqd!fbkSBK% zetaxgJ#?t5D~p)=?=!La0?15yI1Y0hS9Y;$e6L{26qdc(x5b`i=;hJ=hW5v0TqP8H ze4v-m_i``u6|em3Ul)vqq_dc!bK4fum#*CHKctatHPoUkm5GhJ8;f;Vzz<(O|D*PJ z5@|p$C*2l}4I_EDT(~e7)R;Y{#`RHJ@Zp;rJq=}rFr+H ztp$QLHsdw3w4->pj6|n-#IX15>cMbheQtF+**PPF%cFgOeAs{f$17GJ-d6^&$29Nm zm<(8oWGzYL!GO2B*Ee}Cd6(KJ{%PRskYX=x`~2r8XOqIatpPNX=Fkj&Ew ze!z4jFE(SRv`4f2IvuHzV`#DMU;EjI4^j$JOPKUi(J!`=g5Ct^%kOQmp+|%HBnBBe zF^!t%>}fY9KaSlo)j!LiVAc(Ut&8os5SoU3YVQ+ultTH7`d z(LZ|LlSzgEak)8m^u%~FiBU`pwe1B7{-K5#tqdkeFA)M^B>%_BcB2#ZHi!(S0*|=nTC&I29*MXD08#w4=qeKPJl$z=6T( z`)g;ahjgY252fpIw7`l3Gg=I-vMK8F6X)vbRN=lJagBc9E{E}gn?Y};mbzi&gsvGZ zG=rtkFHhj3bk&jv?KIFs&7k~nH4NrGYzkI=>F{YLog{wXgxWL2N+zDfp!*&oR4;5H9uKF#Uix4? z( zI9Y!VnG5{qGnY-1EOElbj5l%~e`0jTgXR&}@$b0K5|QM~%uWv(Tgk|O{FG;PtE<3u z!tuzWvf#nc-`R`fbhoFAqxucXKaHvh@b7zV>^DkeqV_(95u{J_|l2eB~S zljX$>fa)Y2l+K9D>Pi)pA4x7&Q_q0P#U6SIB+32KGu#_rWxVW}{40V~b6y}g6v?m!f;N|xK%FoBhJbfc$o zq3oaAk|w5*$cq{R^Ch$4lA-=~$?G%x}5 zpHm#KB(NHF4_9-I=md90)O}`XK_anlR}G6l}4Mk7p5 z;z_+k9L)8nIvP}Y)Hc)#COzF- zYSSxgN3tx)3Jyjk-TqiUIojyTcX=j}SsBI6*kgrvofvcN8p6C&K-5{;J*HO+10Y(B z?agDq3^WFO{tL14jMj{BY1D@NMMzJ#mYWeFe=^F0e*fz4l@*hVg^!H6!CWkX`i-pM za(MUAu#-XJpZ$^XDOzt2&3&D7Z)A`iH*cv@;enOL`h)5vyYol!+9m?w_;!0 zBXs@tMeFcpks#*!X%LL?1L?uSFbvPs4=g@3X!Q#1Hq;{oo;%?a>Wy%x4tgVA%G2lH z)WzGpNTJ6>6v3j8H}w%E3>$mJ(&nAU%OhSfUFgF_9}wfP>GasaV%{7fi|GGs^gU@E z=+>dxgZ6uBHzP)&>#}{cXdmkKsT3Al%vqqvk!xDVx^*-|cc&c=^pb{dELmv8nL;;@ z^%0`RqA3rW2Ho9tA1EV16s63Mv*?q|eZrfa#vp<3voM{0*4G`d@~az z)T}Xd>oC;uC1a;_(Mi(_y&(+wvP%XoYr5#e0fL*mXvQExWro7I0+H)`I!MO!30xDZ ztSg&o-MmwIHL?ef{Eb4M4th1cys?*f#y}=x0P47IL6~urK)3&!zx6N7&MZEDqg=W) z_6nQHTx|}>FXEhcXe9CGM?bs!lNUb8RnMvbkiwY6mqzAA0z`3~lVUt{$JI6?W{;R< zS5qIGrbAg1H+ndF5Z#ZCB|boNu=~${*&ds}`cJDt+g?r=si&z8cv0k;fjy>>mn;)71a-IkFm>Cp&rka?w95MdAFge#%ENtGwq(9JX zsTtf`(49Bhs4F`WTe$ylV2<)F3m@GKoG`>j4;(P{#XNAbvLI`_;$*SD87h3R?b(CT zlZT^cX7pe&db+aX8q=}onXPYCClaWX+|`yvsx}ZH_f6X?ns0B=N$)zP4~@EU9E})- zOsX-TKzD6XCn=_e1>DV(rq2f()QUM7>{AkXr(ZCrXFl`#xdx4Bsl;mECpn7#!XSD} zi2gkW$t?!iqwSDa5{|mye*ToXVLpcbJN)kfA^NwA|DC-?1mt6aB#bT8_cGTvs6@;G zGNTer`3{5?>({UBos9^BhkW9O6he}ZPPN{BKQIm3o{DFUeMsU!zpfCC1z*IaJDT|o zagOHUud^kwPp{@5Kimiz7Q)~keE4uGna7wlglU%OoNf79N?f4%tbL~S2m52)^mbWq zt3j%18@nC&*ON2Bp#}6;Abxv-bm8SFhDe?GzZSSta6-LOf;HE zl048~N~s`Az?s!waGW{-us?$AOnWIuAvGDR<}77LXsP)mo!uvU zEk?a7tMM;Rochlm$b&(!DO0_<&v7bQbk3zoWUo#Q{bFxFCvNl%ZPbqfCLWHSna~JK zA4~4gD0gjaN(QUnu@REx&<~mUF?p8kUarrOt*y!n=#@PqgKY79>E^$YGJ#|QJpz0E z980%^fn3|B`urF5_#<@_W@L=KnB)^ayV8)f!tw$wHX?6Yy>}gYMd-y+JtGyG?$MvpkOd&U zG;^6&^Er||a$_d1;XJ5mfBsD;qN)1)59v3RqzRBrvV=+fTu-pX{37P3ITtxJ#{z1> z2KU45N9efB0GKd0SCqpHPh3WmaUVosjm@qH17wIjCGT{f( zXpmi~?Dq3-n+JbMG7jmxX&5uZuO>wt7nu4;Iz8xi}H=T zNp}m!Zcx{i&i5Z^3lPJ@#KniV6gq_|<1FJ`V^XcMv|ItQ@~$h9x-L01S_t}H}GJocF*Ob zCZW5;W0!R7q77jtk)y15LW`uEGUN2BOEz}V2E)Ep+d~I>`lxk8_F@pL?v+d%?2g?$ zT}Xas;y}iQ@KP^Lo!DLXf^vPKH8V4Ih~+Y{QxGtvuyji2xJT1T3`eVFz|ICPR7%q& zo4N$1i|Fqpj{I2YC`eDN7rfMCZ`~(y#1~XAcj#y*xsPH*iny_fYx>{-kA320pBT4b zUrf{!;1)?7saC(}ks8djW$8$J_jR_A1-LaJMy$JJri(U_tj>c>hL5hgk2f77ceQ4G zh0>O0W4{Ufm?aRxbtiw^QTq-jsNV`L(>uBX)}BF|sofXya`;-l zI!rsy|9rPU@CB18(6Yq056nMQ$&)X?mbycUZbA_fy3thWN0RSLV5ASlf(-}*`Z09d zLveCET{(&67*Y*^4})16>M}HZiOzK$XM57_bcT6f7veC(rjj%l;zl!6I;py}ploZv zrcy0&jx>=12~?(762*yhD{xb(5u|zu9}v_6DYrm59jDo}!BL|eYU_wAX88_u@eDKx zO_S7;Vm*8*t~;ryk#LSUd1jrMy@&OHHbu#rsZvCNk`dGHdSpV%}m%HV{%ESuq>6+Eo zbRLMziOwy)YUfM2FV`fd)_GNzUu!UdpzG==V97h~F6X8*Ffsgtg*2dPL@d6bbAo5f zc9Cu;s}3>Dr}0s8RzvV#G>dihCK|kbsi45JBZ9m?gOdh2VLvHM=U8{s)%O}s_(imI z15pHBQ7NF~n}7lNin)b7>N13%rmOEHqd)WF$6A4jZ=n*d?&-R#?=)ue6fXsKd={?1 zZ58QOF^dM!g@g50bT0Q~*^H6j+{YjgI*t=dk_j@*6Ke3(N&`z-xWbpJH(H;1j#g`C zDrd16gsv1cPJKPOOh%m6C0gMvp45DIN?F1{*o?2U)i0M_^LIXm^YA46Ul8h)`pfC@ zVThYY@{_YlKw!21@*kSS26+jwlin3oq4opi@4b}PG;V`TqSEYk9UTIt2=8_{JL+|B zFVopFSj0z*%4Uu@11OY;S-qADY-J05To=%@nUH;_pWX5@w`qL(eqgDwD^?Yfl!Ry8 z0Zas-X29k4t|zY%o#-$~-Bg!Ty@L_7`GizkJ2c(lQZ=}&KLwCDEUAL_)v4X0a)+7^ z9bN(_zKGBxP(eG+3hHnmmj~#TK+epY&}_Gm2@EVx2M3G`^o3RSLVe9d2A0WcFwp{* z`o2%s8%%sZkd=ww=^ZeNcOHDz(brXKrLc-(?usA$n_Q3YjGR8ed!`G|kAyC=AJBV7 z-lIK2+-SaO*7LAg=vi`}r+pg zb8o+mmVI4vz}46Ba$qUPw)#3*_U0Y3`ZisT9N%@$mYsR-m*0Bs;#=Nat1rF9mkA}F z)wj#l!j|0hU9Hx-@BcC;uq1)7(yn=_77wywtEpyTJ<*=umT`ZJR@sb2MG9HXs+Y*| zgR?1HroByA&#aScfIxlYu$Dm*RTTX(j-6 zt9tP6PZGAvLI=G%(1ZS@q>z_raPOcM-$I8hVgQ?NkJ0Y71APoy)=I@;IWuxWbB0IX z+yTAEelvXP<@RBrbInEW8?^;~wzl|Rb-MPl$#=4Chfd|Um`MhB>!1JZ!v}Fd8GTBe zm!_;)$9oc%W&!QYy0Wb1J%4F!C8`E1TNXRMBgm(|xzzMe7lD+?Ejm*|S{J1nlbA>z z6&qY01Mu074ld2M6g;f$VQ9Bf`;2ecvanV8+SHP`^G8D!AKj{~=M3$?2cQxkuQO@T zeXn5Ncl4V?@*fFyB8+K|e~-(1QCE=0lpz1D*t9sF^4H%5tjLktC~_KbZ`b?Ing4bN zS)7Pe^{ud9%XuyM>0Nm9pX^sD+`J^&4hR1vJN5My{Xq!oG$<0ZF5ybf{D&Wj=?svv zIg@tpS%l&n;F3GqA5AsuM)LnLScJ`=EbV13z5`5}Bkn5i9D^UU0Q^!i(2QjZz_JSI zqTxzsO%Gq5IIBbfVYaso2KH-7OCYwaVTzV*akFVl*xz^p<}oIP`zVn#|6&FiJ6u@E zxoLl&gHWK>c_|=?F@rf%wKJ0{kF@#n9(bd4zM!vyJu&$UE-YLc?e79{Be5C0XosrG z8*JwImnA69`OD;?Gl*?4)YjfK8{r3wzi9)<0@$Y9+jYsSaE5_PrC-wO^!d?dd>y4j z!)F$oewvl88|LUg{V*_)DD;XmiC#$#HA4K6c>Rxm_~8T7;E92y6rS+pZ0XhTE4wZL z8}iwKwJazE8b-mVGkQMgd^{5R(m9gSi+C{Kx;4~NQ;u-DzJ*j}4->0k{yQQo?iRh~ z`kAh6E?!jUGH-R_EwHrW)0uh(vx(p|&@gqk%Jjl%#-~B!YGqq6c zalOW|x+ZVl8{r$EviFYz$?nT4u=Dhne|-doJ$16c4deHxev7}o+i$8AzZI*!>ACvr zyM3GfAh}L&=gSw8LsM1n_k=3JYPBr0v^`AyR)2lBZ$BKFC7vOH|J%R!pH<)julWSR zeEAMxfbKhsP}P>k^RW{AxJ`wUitgL-8-s${ej}aT0nik|>)VgOFj+(Gq{bhjU7bsP zCzvyMOAnwg$&{kk*L0kY+z$W*`r+G~6a&#Od%rS?+&n%f>0|x74PdS}!yzW{-Zy~v zysv@(KmQ1vP0KfP@k?8cKj&W-zb$`NQU_Bq4>(sEEO8t0_Gp~(iH)IsZU1I(D<-_} zmPrKY(9==z(~o-qlHmq9pRXf~O=;41OKItGzijpM6S->FR3)t{)U(<%H7W_BEXOEI zDT^r%`%ZT(bBSsN8C`2tj{|_Rs_Pw!7iRM7mAzAZ^Ow>XmU&LfJV)wf6;5^4k@%+* z^u+sFQpS{2Fc2qB=UPLcJ%%|3YY_@7I(_oxZ$k~Umjv1jMQ$ZQT$5vq6fy9t z9ZIKzV-zK{aJnQN)v(jC@$~xZm|}=Xs8%N`a86s^X3}4R7noI{IYUO(_>alBm{)7h zQ~~yx_Z#WTF_EzRn%(7XJQ`Ce{i3t!6y;DhW8S`2y)~VqDt32m=l6$-7&8+_d8VjVP+868mk@JKoYTgN5p2+ zCQiDfJY7T7rYMq&U5pS?>;vEaO~QM83nCeoPy{ISlyHF}v0^=R-s8s=Y_hHdwZ`Kl)Fr_Ak7B$qyy2B?;G! zgLUJs7#oLD6v+fVGfw?X+@ZYa1l71H8Y!2)myGbZCr@HhY}$+Dqn+T0gIet9WSmU+ zI|drvH)m!)>`*GsjUI%;>I?}&>1CXfnLpUmRN|iebr0Fq z+g{VoN@=Y$xa|_$cbR6BN{~}H-RSHB zl!@+#ll)LI?=Q)jTwv{44O7gJzhH@P9i?zf?P6ugvNNIE)wVGq#5+8o7=^0q9Cg*H`2Q(1yzq*6LPE?4q{z%TnQ<~QB0D1E zJxKr<2*5db}vusQCpZmRY@uH-o89- zM>XLgKiLZ6qZ0|{rl(ppY6G&6_zLDV!wg@oqB{B~0ksalz|f-Y=xCH>d$z%jNBx8S z01j8$A5_yWZYJXqKBnj0?oyty40VJH9LuU_nh{nUX5)HKGh{;=yK!iPNvfs&q3#y^ z%r~DH(;gYCiHSk>GvkQZ>$beVr@?NvRSpmr=i0JRzDb@dki;a(kNepHWlx zh$n0Ep=4xl`pt^Zv&E^u+~tCE;SYhr0(w0Zqo(dq0xsB?B!t!`Nm>^Zwh;J1ktHZb ztb`Rg@}{bYTWIDA+y-kyv^ZEqtvVm{8pnWRpC6Kgo07H{b(S!RV@0PeI`UnVi`=ST?%k$qx zkoX?ldmrVy=Wn+qsS{4g+6()QED+^XFmOC@?L3Pn`=+2?IFfq3#oNUrPq0O~D4}rY zC*bh?@Rxr0Yd`!i=+7?!kxtOB5+{l+n)*PNg`Y^X+nwyLC>FRmLT9Xs#iB&RsXP!9 zw$Fcv&=?$4`1`?G_AMFBO^b@@+9dF3SO8^c*)};24*G(Y{jS&nL-{d(H~=8&p~By| zX7UiCWkH_>Z!J}%Ew`oJ;qn}=ZR?y)sx9>;SS=Ha)_~cUYicJM=@Mp^)8CX3?!pn` zkh;CJj2g6Lzi)@y_x$@6!bkrIut|1PS0~I9_Owe8dbENjCpz@FwQY)nO@=SH(T@!S z4bgy*=AP>xGbdt}Y&Cmn=Rh|)z&#_~b6<2+EqK93LWSKP3t%5`i$RL{SZ*Cg`?pIQ zOlSwE24Mo;pJ+(Hx&{wM7qLgWgaxgw&b}|7o@gE5od?YTm_D_t-=n)|>ct2*!X;Y2 zCY_c6p#glo&&%iEXxJ230Dk%tnbP30=GGUx3b)jxqSBtb!`Ax=d|()R|qqc=aRlcxdP6W(Vy@`YgxlNy6S|hXa2Kh%lT9{Q3Q(cni0s3S%M6|a|hA84cR$t$bNn9tEe&8elB?;1N@@C@DyWU%y<{;9FTb8Qs zxYDvo!bl3R)C2|QD0giVPMQ;4EnnwIY4lhqMh%lFn3OKbd>S)H7W#K#kioeW;gF!T1iV2G#fLroH*kTvl>4i;e-|Y#JEVj6 z*+TFwlm?r$tZKz?DuSfGDfhHV)Ii-)IfFaT19Ua~+3Ao+c#tAS;kois#?bX+@$&aA zFu^^-nUb`KvL$sFswPbXAv{u9qB}oMQ37Rgt(cAyDGIlodk2iq6?Gh*`=PZ-p7<^e zA_Pb~a9g#YB03UhBe7eKIC4!3O72|5DyGO2Td9+<2DQvJZNueGOz&LZ1wSUTA+Q=@ zy*ogoLPrq@P9_MXk~{c+(8T$w?b%R2BjoX+(opt?;{JZH`p=s+=JL3PF0>k2+%(jr zH`xj`%E=!{^F1BLmKpg_oR>kLi6Up)bUg=e9lE~1)b{~qh|Lo=Mn;aRrY$qKRT1Um zSvUF^V#(uiTtx!i262bfAku0`e7h-&Kzb?zPjmPfTaNsEqv7kW^1@2+tdiCL_T!q zyklg`<@S8qAS7v5fPfJ9#!#gIm;p71D!u4etCLOhrnufZfdwSILRIL$W0W3F4^9e)hZ_eUSQvZ!7Ztj%k?y;T(=J-b4UwR3-@*; zo}+bnmr}KWF%Gl00e93y$htuM-`XhqzC1j&&B@40ji!-3&kJrX&}dWUK+uhV1DW0kZ4-N2jqJ!)X>3iRKW&Ja3zCnZtO?s}OJ{gcQHn?_I*Kp&3WVcHTbZO<$6^oRA!XpAxSy1wnWMm1{#EXxRB*{ADYkU<)^#_Giuu|5$mIciY@y zTCF(!5I}Bz76ZW3rymk8X6}fhvo^GSm!%|3Jo=rVMnQ^*{0zA~AazJeI<)|j!jV34 z@*!}s5-(-^TBMA_D2gN{UWRca&yfV2)XyR}adpx#_2WR2(t)uSXG1!kkudQ@u1ET~2T)HI9D0eHCF6v{|NFg~b18&p5mhq;I*fEg9I8Q)ClDDu9%$Ns zB1T<7%7~1nNX-h`{ucR8ja-WEPiP)sTk&{gsJdBZj`Z+8!a2C>Qa?)KSaqF`&1R?u zMz1RhLp+dd!XQ-g1E2a*P37T{S|)}JwV!%O%zGT|ykV+(@18cKa;0_yp88=*svz&O zDerS`>iV&{ri_~7>VPW~cuAIETB9;)h&+DX7;uMi+1v{UQ zB?Yt{T5`dS$hH&JZ@E?NV$h55U3!!wrqc@rGwjPdN$}##$}|`!Jb9(Dj8s64CBqON zzKmJ3+LQ`z!{!Yk#BrOqWszb*`S?1!lfE46? z&ONv2m&+XP=ExWF6Xd%zJRyHGa>@jqKiq^w~^) z>=+8E@DgDH|7 z4F_;`NuSNq#{+t?Kz7Y4Bp~-=`oOFZpIRm-u%dvFJpcZe-a7Flv^>^u!SE#EtHMro z=dhPE-88(z6#SXWnO;p1T#)G*QSrFVxR~H_p=Mk@V;o#A)xXjb9Yl}&;fS_TyKJ`! zd^a1Doe*)JYFTSG%cH=QiL0@x(n!3?U&g6*RYV=futJEwV zFIUmJ7!@V8RY0^=#EOV?&qUrgq~vdp+`P4P`cov33sMM`ic<$tGzsQj1t zsBTXZgoh_~0H6s1-l0JcDfAQTK^(Bb$OWe*1*FDTIUR0Q0NCU?41eiS)8YTM=gat~ za<|AA$HHO$dO!6YCI|9Ti^;~RlknaG|Lzu!2ZB}hu>ub>Qj62u3Sknn(gp7*4IIq; z1M}>(Tf6yaSAf{+tfuKCEkh?T%XD`x7X21F1tm-^X5X&zV_O!E0pkYzr!>Q}nR6he zj~jlUSF6S`z}FIKkSqWAlN?~6KH1f&nurD2R)*J|)Hx)vw1`fmW&T(!mpESL%_50@ zhW9Z%W2Ub4rJqn1&=h(0%nXu^cWModWRpy<2lwoeISgu@m>RsLWB}k?vuVOdwG*XT z22;pjtcHlt$Ak1px7OVKZp~ znHF%xh~iw{xedh?rRrpULYCCHkIGe{>iP92pV)FPdYeQ~;mm3(%|wUley3Hi^x#5iWqbFn%vtdP7}Aw~0NE=1e+rNe*q& z+Pwx`kyn%OT}(KJZ6)PD^I?XKgqMNY{p_~#z{nM%?6`3H%7;Fe!!V@95Wq4snANnD znenV{pM8I9BZo{-8zYacvQb8&Wn8dtDlrsEznREMd4h*9(*_+V)M74OBd7^Zat<5X z+ijla-K2dP%_(Xj47O1-^t8~6#%K`Aj5xnjVE1i24adIquYLK|E8vbe_j$+kzU&Es zKPDq-lZwKFSx>`MrY^x`8%7|VN*-oH|a#uCk$35 z?K3Mt#&BkAb{<(tTP!i~Pv(n7G0jYUq;gYH)PB+p;2+`LxdCTR0MZJN-3r_j%MExH zpTENZ;}bbJ=ITOlHP6JrB+`DdAgzE8{%ju&Z6VddF4`|UYJbGp`Bnce6o^^Fqj8!& z(xua>uxMx%(DFv^gbSzD2(HguVLi-`n?y46l~~cQi@Kl{joiBL5xPdp44W`Ue4gLa zg(tDj56?1E#JF@Hj_TWDMf%eNodsv7oh=k(S<31I4n!k6{o_0|v`G3@pKtAAn{S*N zCnp;^YUDD6bTjWBBIEB{rA>ZZfgPYpJMu>w~BPW}Z zJZeN<6|doqP$H}jI}&1xrY-S@jvNS)_SloAqG;{(be5lTCQC)U$V^PA#Q;cO`tyJL z@(}+e*s;)-7&-P(4z5Jbx&du6*^cT{z6Kt~0db=>NJbo9ugfN1ZVJST3BGmUBw&|- zIiENQ2r6O+#5Mwx$Owth<~3U>p5sW%u-ARL!o4Wu@Ln0R9G^Xf91vYViy^a7fcIF= zSw;r2j&uclV7vjonEr&BSpjx_C-w8F;#&pBIz~o60kW_UWLzI;uTf~0ILSy~f_?O4 z!xLoHa19uwI#D(7*+&ZZ91(D16NUy;lFo86PIbyvNE!DIq#%wT(4QzW>u{Enp{g?m z@(qxail-JJb2KUPth-<`CoUJs<3;BwIy#UFOMh{6M%$BWw=38A387~=27q=9e@WoC zW)76LIAEtCL9pap^NQ+NLR!~?&rB0C0Y0?L<8v)1&5(z3hwY+89Q)kq8LH+o@~+fKz?li9;-Q{zMl0 z%@2O>zyH}E{O%9_;0J&BgFn7SR09nqA}PpBf+_{z(nE3o{Oh&-6}vdymw=}3cYSO3 zJG*}VyLC@{Zq1JVevH5g?ZYnbRyC-i*-BZLw8~1_S1B&NyJ^w!9ho6A`w5Kf`?<>p_jBSwJ!*PtJh>}pz9*Q)Xe%)~_+#~Q`%C$|?gUrIB z#uwBtnr9qv9GD(10wYx5f;hP?U=8f(g#z zc%~R5LO5|~-}kk%Yr8S@`4jAXUI;Ho73{O>8|taU6ZCBR=7+!f!(aU2H$jfp7R&<0 z;T$@mW}BA}q`p0W3;YZPcz>#@w@=UCp$SK)+tbMw%?=mt9OEH#UEvaUqS=t0fr)y+ z+NP4*d&*SopeW$hW&zUn4I)Ai5Fyb@9K%A{80;P#;VQmlSs{=r?{PhKZzH&-**j~p zFEEH8j>b8Nm<}DlL*>%mK!sMjoc5;@XxICKmH=7LF#Z|8i}abIIw79J10MAlivyo6 znin)*>b|2E?*O*328fu%%BsWCOBtcHoE; zKp0T zI&D3s!3Ob)P$uB*n)g7sVVseU!S116sVW2$=2030c=hrKFd%>?oSjqxH`Z@!dIXo_ zd|#1$uP0-Qn_Vf`pHO_#Ce-CiJm)H&UstGh-3#jg)S1Ry^U_(lV02`6bLnrIL8NFX z&h!bNr^{y#Uy;&mV_yO{y-;9sKBkkOLGDSroMx^B_nNCp45nP3fy3^2)U%mc+O%t< zN&7ywr~Q0k?t|VG5oar#v^&yYW{VLn)U*oMr>?1b2EiMsPBVb1E3)?))8{~a>q)G# z=U&+w;1W3*5AVVfDE3`B&VrDJTZ%nn_S6ikjB}6%m*#&sEziF&?`BIb^FX-~NP)ln zfw`-nk*KLH`_l`XHtdlXUIfjDN~S&MH!>JS;|4DXogBrfp6-mzUuOz9#^b`Pn{XxR zO(GhT0|{N<-!B-Z8~kM9ehI>;x5?7kfYD_)3g3kG2LgHefP= zY+ExJ>M&V5=+PXjAk%jEQQ*0U*RPs^FlousZdP#|%>6y%XXAKl>}^k~;wl$(4?9P= zZ-rPjrf8u}gz*#vr+Y4Po@FMn%MWxKl|biSbL^pC z$#u#APIKV9@3r8+P4ctJl{24R`P2+}VO76aG|R04Sc5l_vMX0$=RD*)M!ch>2$5J7 zFXdPGHMmF;JUs>Lb(ZBEKJOfPuk8hKPs)D>5k^H6lFd|v0OK(tCLW+0I>kP*2erb$ zAS^0C4;dIYSLIx&#YH&^0B3;jv*Es;pY$-lERp7L+me8Ru~Z)38UreaE2!rTBhQhR zlgnHgF#HrUj){@C0aq*It&f?m6*mgH2)8$gG8)6kCyXhKEqoZ`5kaRWeW@)D8!{EQ zKtnb&zoi}{hR#buE)9@@|Hs#Yn63uKj_St0pfH8Mb2j2+@!`S$UD|n7wgTu;6+M^u z!rB<&dXxst+r&hKeDyx_aK!U5g(@sRQ>cbb92{UZ8Gu;L!z?|nFzG5?IKIwE}YKTUh9$A=%?6393Q&Vf<0z@pS z9M22mNW>{`=c(uvT(N`bI$uu&^UojSiIBRQG;FReyu9puzi*q@Ox9V{^J+7NC)L_D zL_g)bMMHYwME>|C&z;PWe7(w<=UW1@Wr(uJlE}2kPox8>fALkr$jmf109i&qkx~qQ zDld%UP^6EFq&RS9Ekp&dt z<|y>xFc*Kw#IfLojp(E2CUm0SB<_c|797T2I}vBVQv!RSAx*}9eE1YbA;MiKvAoqd z0Ud&$+5wmvBU+m(L+obiV~QQ+Ch;i;u6pxwNow<_HfT9v@UwJ8G|`8MKEz1aA&Rvt z4xk?X)Q;IBTPIFK+)r@Dqgd6u>$&1&7E(>{6hVSQ6z)e6LPqe3OF_M>4@RiYw%CyrG&R6zF`A0)V z1e}&c91uY)znPRjRty)oJ2;1!;Al%|ipYx4`9*W0)8&52K60BJ_s%$h7!rbJOyuDE zC5LV5)WBP3^Ns;LuJ*$43uC_>TBgfzBy`^{_B36nuUM_+W-UHCujp9Tx>><1s4#%o z7*md;J*Gm>n|rmp#<4PonW|#_l@Hjba#=Vt&q}$b5NAq@be#*Hku>eUYR3uw%Iv>P zN>%J6)&VYbj{p{=(+308bhyVaYll-N9{zGUdFn(+e!=&UQ;|^mD;<(@ILDdKVG;~U z6Hb~rp>+VGHzi#Z`P|JySAeTR=|QK8^n%E$pay4I0$p*bjn0B+SRAy)X`X?_2Sdl` z48;n_d5tY`@HmY*bUb$we<;Dozz=rtxae`Wd8ty|Zq<&!DUbz_qtu(P&srgA!=d|i zhBYq4K)`*mqx`e<0^?@oTtABO~_tkB?D>z{b_s^vX|{Z)rsK+-=p z&C0}$;D?OSf31RCzOLbGCVB8I@M1+90R7}_8~bM8*KCV3_IzCw9p1dl7I1+}+_8I( z`xzZMOr@>;2xzQnpRkU!BKfg~#UF8pQb6<~$CGY3a247&eN9>tPzmHgU1S3^CHf2w zPgi6ogKSiN)7TGip`&_t{X*-XH+f52Nqb9$6?^+;SH3P*f`3N)82!`T!p3cBlU^R| za<|Wy;I{`9krR9tqz)N;Tc}HgP-}aA>TUew9E>iTbQDmLNMLxi zF_9sbCc(O_?A-~n@#CaL+u}q+xSfedeQ`l|MSM7j$CVV=`qntMZ2UBi^F$_X5RU&D zUNbJpWJi!-5Zbgo02LofQtr*~}+Rf>(+2PJiE}++ij8}YNyyRxOJprE&Z~ye^^2}4UU6QGVkGis?dpDZ(%X*3>R5aU0H|CN7M#VH*Sx4|!5Oj614`h1#? zaDx()a&p=pB$gaO@rm8MkNcnr#8V z!tP|#{Hi*OR^Q+c>?we5dwlb>`Sy`CZfH4x+tKHZKJ!U0R$@E$;;b2j75o~gW~v2q zHRa)lD~ZQ}8+~xGNE}C@QOTLG{pbwuleS#v%IbyT%8IE_eZmK3S+-cW4P|VC;bX2sZ_zZ$xG|Y8y0wiZ%R9WZgX4k(S6k4W!D-7(0K`6M^n*El~Md z?el8KxSaC>Xima`o=X5d05(-RNarAz=41h`)6fD|`tX!#&J|Es(7^%i3cyEupjD1V zv^%AXk1{c10-1V)0^^y(IcWxWw66v7&dc)zPTobQdm0@x%npu~Iv@sz4Cfa9!iSDK z*AKOvi@obOhMb3sWG=iYVk`I2_qK;J|g(eX$tgMM&9E;WIcz8guT3dI656 z6+?dvMXW0hKP)zFaiC4PvI8xXx=xXcjN+2_?H(4HX_03$Ny#oZ4XU%knP6TLKS3)Er)4&X#38=BcSYI<5nzE)7V_w^HWN93sv<1*21>z z=zzI&j>gg0)su>v%aPCLM2oyUiG4jA#!1XlQ`eMA1F=Mi(BTOP@90%^43U{cv*C$! zMbZV;_4;JfWwG&KI)*GeFn6P(EvpmA5J)<1g=M{fs)3qdoE|BzbV%vJF%1fyqBYe4 z&!|4{rYI*d$}u|z`?78TSg@W}x#(E4ZNymKp*F_QEjrnR3LpMhkq1L-8(U31Xi! z`MMMp9%cl%r7!2>9xx)kE+s$imo48~1zDsr4Dtg>A6`gLI;4O}8qHVuxt?lGHe{nY z`B>Jc%8BsY%I;g%U;g0Lt6jsuq@-C=Upo6{-;1X^?r$+Nd$8j%2K4aFBn_)UlQi^= zrQJwVm!?7(-TD59P7-_c*}ns#vGS>ofF&KccfR`}ea`rElzeEBf?gLLR0DC#@0=Ju zTX!*oS_2Xz_CK_=V|s*)cL8L;2k0&ZAhmLWMW};!m&Ev8gx`_$w%M_tGL;7SjX3?# z@dG3asAja57r4*H<@a3-u;z#{I-(CPjw=FM8-C@{ue>mF+`AO*fkRVSH;4?UuP8N# z;vk^vL){sC-=G@qv(OND&>5=iCDUZ^M1lrFJ6ef*01ROl30c98g&rNq62%*Bp1r(I>hs^T@t`+A5W)p5zk(o2LK%p z07?^K{va$l3)CfP=TJ_Sz#+NkVg#ciJ&V*0BygY;X8Do+Tf%i+N4>7m?9!2}{@{|A zoyF{49H%3@WyQE2ExT=T5`>3f^z3uzF}s(h+tHRVWI7+o23IW`-2=Zq9zpCNbm<71 z9}V#RKzs}xiULL|v%ka6EnmA{v|M33QK$m3vpaQo1KzjIs$UAX9FA%@f4f1b&IC@G zKT?@+fE3O&J`Z-~^29GHzHeQ?YQWyyETsg?VS}fF1hKY;)1sp2j$lNDdl-LJnB(lIId`DdW1C?G<~#f zbq-V*d)e>ByXsSTR|%wPM{9&kS+ zGUF(^s}ju2D$;PwHNqMX0@w|gU8_{ao^u*;b{ES#%N|U!OT3>7PFYfAo}Sp?=*rjU zSwkmK+2-}tBY>6rLe(QJ08`plqh++f9$36bc}kXeO7dLSGPp=ChCFmj7q>K%iN}mACh1qFTA$mc`aCs&!yyLVI?A;-s)OpPJw)w`8};Z>%Sy}V%!@@N;X@)ERgQR)YVgv^jIK&Z)M=B0Lz zbq{BmqcQme+iWZvix8Yo zpT@wRbjSSv;3srEM6=r$2XRmk?6|>SfnVxn!!7!j)H1{^)08oCY}#t| zqU2q(TjU)cF2Pxf<#X658p(4xlbn->W5@I7y_2e3hO6UC71`wdp->QRtFoY$&`w*_ ze0#uK=(LeiLQ|bc#L^Z7l|@lLKrLxILleM*O=>tZIkrtqRO)}7q zb!ChfdAkIVAG$z%sm>+{9Zi=yZk3Z=G4&3(P*p~Xd55X-h?wXHZUTbq8HSWKe{%>y zgLt_ao1*HQ7~ z)7Nm3y42EO6egzBJFHDQ_f_AEgtsr7#c8!}x~C;>zqO@3UpfEXPybVkAdgaJRodVP z;}<(bm2&KOCP9;mt6t+V;NtYwIh@*F@C(38g7>I4KLKOYz87+1L{DB1-HtQQQ8;E6 z*ps*dfwO4f9El1DQ%5K@m=zYCedC@NA5)^0j-;g{!4Fk|o)x>Qz{m(vK1$$j7F=tz z2e?ge0W!@l!lAj`mHlALRW?8GEt-~TGZ8HQQV(QNoXQ!83VEtRv3?H|E)s+1i#Fn`WoDn1~aJ#ba=zA8Q&qGmZ@J4vtf1>S$p`XV_W1KhY@twI`yv4n7= z3W1)4?lcHe0}7-HP+(px$Q91(cX>V>^W~;_Eb}3L*b5>RKa47bx(faTKL9mgE#_Kp zAddKO>ewZk?}A$H`}gV$FqBAOF=`U&nuJcnmsf~n=P<47Ycl0X{RS}QWMAAv*O;u4 z3pJt<%XdK3)qnyaO+2R#nma zr$2>2@i=logI}C=38?ShVd17POa(HG!Plp%q4!ZgoQ4kscjyGDE z@M2Kpr&$_1`MR?oHomuX;F;5wwh+6QcFcJCbT&Rx$Jz(`Q+sLCssWF7mL@u%?=ZT< z>i)@oOr5pkaUit*Z7};S=go%SE^PHF)alw$O6KZxp-vXflDTrLu75j-OU}~$FCV;m zh1cGP(kA<~DjYV2@UkpFwgtah*sTAxg}RBN?KhuMb4ez7& zDJOmKXBQl|mtw1WV@B3}<{ON!GH~#cje)G-ee_wz2dw=$~ ze*4YmKmVg&{O+62f5G8k+@(R%B5F@*}#Ercj-?)SA-y(Rcsw&F8=R=JUVv=JUV(=Iej`&F9~I z^Z8%nS1d?DL>i+viWNB^r6N7KZNkYq6e z)`D!qt=-inX*JH9Z~VfWZ+!2~H~ynH-}vP>-}oIa_wT>?*`Iy$_3ys<#$U&e-}p}{ z0ppTGES{zqDq6%QOxxS$Te7O1KmE-=`O&ZaO~xG8eeMrq90tt1`_I1!`>lc}u8<%Z zu;0pyH*l5}bu7Oja}>vj`yDC=>@mTPtn_8MHy&^ks#GwA0uQv{DfY8^1r9<5`K{w< zM;@Xm3wdBazicJf5-2!{Ot0G+x~YJh=j zkKNz`mN!4*Q?CmO_<1j7uA7=~`9rJDK)3k@keVf+-xvBjagzxO_|Ud9v~yPg#s#V6 z9P&JNgTS9)fqO#>4X60FSasXdn6bViteEZn)~HrYJwCw%kFE}!Trjhg?Ba}y+zBkW ze|4@WLcrw96rJFmN1hia6D08LN=F?Pn~dP+xEE@ahGA@_p!<FyKg9FtBer5A4U$vv;&T}Fb zeX`5t_BGr_7VsROr3#$TT2KuO+T1IsGmiRqNSF-t+KKg8F72Y?@2@BGTx$(>@12Cj zR?VUBE+k8>uB;x*hP0jzFe$V8#UnYl2lkt~KG~bT+7)LdM*x;YHX%^F&lPZVI27GtA%UUtOa2^;4$c;;FyoJ}5yR8p)`@t;9#rbkxU}zK>0~4E1P3Z zyMF>~_z}v?D2Gll$6#5s07;wy)6#yRR)P(>E*9*&CMN=>)>+ z!X9`gf#M#A4)s=5Vx9xFY*zLnKUGbOgo(#7wFg=jPymjIJfd^A;1#GyQ#oA(D)|~% z==4lC^nO{?n0u^>gySMK}s!AI4 zUikuWTFu*tgk(=G8bIh_1PTrdpVmrfhwZU)GHS@004Uks75S<;F5Bk*payub6D>e_ zdCmhJoOqr=J&aM2S%5TAgi6@k=J14|`=MoODh!S%wzN`efY(dX7q{ z;EDpo4VQs*Hl4+YAru;LU4spuQS5Lw&Wx@wsys9GJLEreR*(tD|Y*;IUy*Hj6tBgv*@l^z{TgTc>vt0Ij?Qk)C zyDGb!PGY=BAzt#nq?1(qlm$k??uupKUih_?i-((b33lbJ1D9dX`_S>}pAVh*LnqOL?-YRT3TR_Hzh5doI{<*svXI(F8~4c;pGoBa9ROivn(kCIk7Y#_I@XG( zE(E>CG*JZ)S=yXzjW)#I6|NNtk%*aenePnXW~qFw6QMXcPru3c4JjQ5`jbDFk19EE`)3saxIL@(4PJxUufe4g!&7fHMo+bU zEAU4u5&V^AsWt$T0!q9VCkT)(xY5XfAMiU0GH_LB!w!+e%?{AtxTD+Q`nyP;&DmqPpy1KN+elJydE*8eQnCkHq|L!bIu zPaSl!Z!odRP-I*JJf#WJ6`)iQ<+R7;LtDc$x6RokDM1|Lg#4nqfP3;+;J~hKcbTW< zkP93x9+x<@n9dI}pcVfxsPpv8HO5q}M&7gJYZkxCD_(n=!0*Q>TBVTXGLb8K3);(w zSx|ytHC3lurm+ItJaGO=$9u6x2fo|l=;WrA z*!)4xdsXaT{Bdz+4!n{PlSqQ?-5`f_?>xo?m=j9|!U7rDiuN;$T}$&vW_N(sO1xV~ zQ(w|I2+Iv`X?N@E?g;z_lT$JXQUpCsq-k;*-i z8S@>bYs#DRUdCL@D4_8h=_|uKFB1OBbK*pB zMw&Tf&C)?LtrS0o+SSPGHC(286FFqr++{v#D*2*$EEJu}k+lPRx1{NX=Pfe!PV^Hx zGdCoq6Gx&*2mQW z<^rPU^8-(dygJadFuFpos;Vp&{8TsZjRDAIluow7U6NS;25qi%5b?#qInH|5xAzRV zCwS{quys^r2DmxRA8o#`BlBXXP}e;L z9PUqK9?RXLDsVKdTT;N!MZ!Jy`M3BAX7&8NwiRHTL$St8qFy^RBdEKHbskKL(U9j- z$Xq6)6af;MuY?b_zUZ@$aHG|z=iWrRf-(9;-gcAVym#Ke6#u&Pc|V;AZ=0?Jazh7t zq_bYs1E70I@a1Qvgm3Gnm&-_u{z(SJ`B@p!+gk#3nQeJ$c72-*UKQ=cq%!XEL)R-N zhH*45wj_T0ypop$yoDbW3`kBU;3L^rq)9yHLyrY7m6M#6b4k<&KFl`Rv@J~wTVZUp zfM~6%38ua|XA?ab_6@WyOsGq;Y0^D^8#ovsJX+DH6o&)CS<#8z0hiZ9OL%;Y5;Akj zj-?z6z*yqidC^n-&eq>_+D^LX+Ms7=-83s?J~|giBr@hzaA7ma#vTj6X5X&;V`DYCQEX0f#oM*xu? z1>A_rAd#o8S#C>5dzgO~_+*nM$b{Ey>cdU5%^#k>)jpOC<5kfiOy6&Db~)OgpR&<$ zokqx(f+>oswJvES=_n%2Ye!v4{gW@qHo*nfs(t>u>z;ZRG>T7sQE_9#J9rh5g#Y&g z{&2S!vtQG^KEiCh~N(XQ{-fC{h`^saByykioG;(ya1sVF+yXyjcUFMh(<0X0JCI5P4$91A0X;U7)A)b zy_7AMY(6rgqP}F!KyQv~z00{0(E5@VPgMjR@LfdRf&THMI8I%O1iFwdlWZuChnIRd zMqV%WL$VG73`Y{#3(yf#uPnEduHm3!Zx~H4y5k|GHU~a+OpM@*#O^D&3(WG#ILLpr z5_mWfDHp)5jakH7rtmDuNb55wPCHS7X`3;ew1o81l< z2MZvd6f29pBG^x+0H_VwP}nN!;s~XWqgOz3%|P9|iOodKwU*@pKJ~zcWClls4n5+b z4OrtCQfRE&rP%c?w)QwB?w}9NPSBk=yyXFKAvr*9nUkDSuQv@@h^+m}QztE7K+VXtJST!ygcE_gH)C|}>@rJ$P`yeiNVK~IHrxnZvWw&s48VKCc zZ5q7XmRvP-ICfi(_o9MJ%^bQ^=hBYi#592TcsK!SnXfk<;PlwzN@A#hIYxms&gp$wAohq6 z5^?O(z_6Ddc=8TCKk#BYE_2*F__mgu6M$>i%G~|F412M zg+nrv3o>018F8CIpFsyQ{gJUt`NtI=$1)CrgDeP1CcTOLoFk$P0hr?x=|QR#_1=Te zgBBV+m`!`;*s}8{NZ{3<0*{Fi`0`wLUY1-Ud<+T%h}VCl7++z%9zspOAGU$<)??`rr#V3?Gi>C(iDtH0^$LJj~75z)Zv$e zw?BD!6XKhjO~EU69jVbV_n>HoCIJmYxZ+0U&+{$?`XhKsfh$G&JOTxdAl^BaqmSFz8z55Rc#7jD zXSd%io=8DeYO{ZCJ9KO4IdsCo6s-a36M)KS=cw=Ydqj6RP)!`xSTw zva=+Qs*;6qcmSu*N$Z?c*-zwZqB_;D?VGRdl)QB0Wh7moS$+-JT^9xNzzUF^P+`)V z17=%6Dn$>MW$?`b%`P+I5z8`Q@f=s%8z> zV-qdnhIUabu_$y{@l*)i=4PVe_Xj``Fvnsybh_v7P|qBmzg0cZp1mcjj8j5d1ZN#g zB1{#S28G#|)2;9VBQ4e#5meh|M82~WCx)ou_%^sc372P>lqxmBNL=)c-#@~a$|Qi@oh*- zg#mlFT+^B|_FE-uLV_$D$e_?%;=M)&N@7Cvb`;^%$zk^*HXFldbb%T{0TCd(f%$l; z|EMj1n>R;}w92Yz>T<;qb9?L;JCAAc;_{-)vZrq>#Ggrv-H17>t2nLhh zK%n=~kcG42ZgG}9K!@;Np>d`x{o-u0#SPyL_;es507MD2TlC%|Uh+wAPaK*94*;_i zd^kKs(lA^3o*jEOn7HEOYKULZFd|G>wxUrsbUn4vdr6dnU|HVa3T%F)7P>$UN}R4) z;^KmxV-R_P2QDf(yp<(5ke%7(tp!xd<07|}&IV4#vSTIdLiy3yHV=_=5|cg@okZNW zCGEfMAP|Z{$25tTddp2miGaXeHgpbhXL$}ocR-+c;HXSyM=|!OmOZa6I$!k`8B=LY zbE#D*mmxgmW8Ycg!oJH9xr*0G9di9bcflLRtO5Ugp{Ky`tJ)RA^G+jj89k*22_?Kx zAWeCWVj23A+uSXLNbsy&(piVum$)&!`M1X8NK>a-<;$~jN-AkYF)fp{Je5ZvkfgR=y?fEgn1 z^LD2vihj>QcMS_FOkI$%(28eyFe3py_)_g@OY1mrXc(LEn@fu)HWm+liI@_~Lx+m;%X^bdF8+$g?~474EG+lZ+Cl&P2+1iN4 ztu3ZDX=YMhgbb3D^FqvVdMOyqi<{iC$3xYoD6Z`@GBjCCdntBvJ`{LO1e2ZStk?dl z4`z4Y_hk!qrLOCNoa$!QS)PG5tFbga)7tg$wDfZBY0r9Q^pB-e@dF=`vfXKZ@X>6u*ZY18zkV06H) zx2c_5+#d{r&1=fcq5h_m{=le)))r{#^8PmBqa5q4Y z3Rl*Z61slZ;6GdbVK%j9(c8@i{4JAQ#>F-F=m`^Lk$;8SUY?pwxozzHso&)Q;Vd4|Yz#s19b9Ey`jXV_ z)k%U&J%297bSy>TG-JWap&fWV@!<6W@75WdvBj}Aisqt}i?5fm+o}gRq`{RnW7pj{ zy;W*`r=)oE3Jrd=5aR*uB)fIy9=l$2mx*)k%$?SY=JE!oX3v+_WfM1FaVbv1xmWYK zp#S*GFCiC9fC|+73nYXb`o||8G3o`>SAkx`XoaqD`-*iQqc&%NYn)|VvrR<+MKIjdVR5)YIUIN{X`#s=JOhF~?Cf4u1 zBcCx|ayQNTj2?L8sG=nZ?jSG}E9%1g{Hbg%QvG_&@aBORkO`2n*Vje9nkV)(=bla+ zI;23IKzdrQ+kSVEc-ZCifg_|F4>Uv@c%&XK30GWmp;OTETHz^UhZ~w%%4igeuz$}w z(9)|YDQ=+;7gI|M8BPGHG3HEXZKMfE0Y%j+#ule zeFd)-*puDGO8K+&eACMh4#nXjn{hnNz%lfjJU^2jYAQP;G2GKm_C0CTO?7dc!fATu zhrpH2JaIhsrzHN*5WA;et=6YqjR??OX$uQm&)fsZ1n4(aX}>OW_|~mqqi<^a)`{=% zfR^1wcpRfMp7uQWE7YXNz|Cq?jiCEx3;0O8e_EJH z!Sh2&X%B|e#))+8BZo{aH>9N909%$)CwDHV_QuqBYu}ZJha4_0REdB5>%|rqKy>aw zdTiF)qk6+l;*@i!H3Gwh@c2x=EAm}B5h%SV!LR$FKXf`*8c6?G@I1KB7cl!aWGg&> zkI^Y^fYfYspsKh_760M`g}c51`2_u`X92PrA$8Esoz3*%OJcUznYqRbQ-=Y`{AkD! zQ3mr?UO|llgN-?~REBuSK+AM^$KwFpuBpok|g@u+KSJDB17JYRKe;Ey9g$`(z!>X`T20t~vir_ZF1 zT$MT)Q~QV(J`>MR=))*5ca2Jqal6tzY9xj>kAv;UREoNLUKZ6s#!Y$?VXL#$8I^IN z$zG}(!5PM>5x58q)(WLug9u`6rqU+XU-{rVlfaxcUZpc=z~vS+CcZBRjF z4Tbra(r5a$iYs#|bvnV**S{C~g%N@>2ri}fCv}gefVX276Zd{>ZX&2kY9^@U{u#=? z?hk*$O(3afJP3X|>H63lYsnz&1;6rv^3K+p7aha=&tBed;hHTz-gXPu0o>2=NRtKb zMYLc-ivcphvx*RRm|H^#0ikUbVS0V4Du-rhIOOgM<<;5iMc z1;U5R?e6(og@EEA5f(YTUw~ppdn74|Wr?>D!MCFVC;_m^N|e2|pTKb1394Qw0$l9c z4sE=tQ`C8DKRkcy`CE89g$p7{fGdmz26$2=OZ!l?#b(nyjx}%-CnGBk7RLin1*m`( zoX!O{kMaXlkbc?bYlz=g`6KDBxCfSB`Y<1qvjJYH^ID|KYNg+$89*s%s?u59mej-j zx}qd-RU-*$>abxT-r-fT>+-5MIx%t5*a=_*z$uQ|PHmC&P>ezX09wXQ-vTvvTgq*< zlHfWi&=q;9wL4Jh(o9hqlN60hNo6VywqT5p9g{jBi?C?T9rFB6~NEruoC`Nv0@OEBJOU7R0`T=g-cP#f%>;F~>ouDE zat_>tyhj0~*kDsdme-VrQoN?7IQ(hanCvX~|MR6E)4l51^k$` zKPksF@e~FP_^7S%j?i~ST4LU>%H?E~-8%Z&MC1ekDUGI_@jf#V5CGo?nzCF3Q>8Lo zaYFQR?f79x+oqX&en0H{aw!^`ceH^(70_3(D^x{dfT)6qEG8ysqJ&d^+g zAH}{WWyF!-vyR;+6+H)-$wkEm?g;ppnJIA7^>mn&M?OJ)vH_v7qt)!l#EtCm0-09} z-ppMFP~f{?;SkCDHOC?{q8&&$yJJz*#c5{h`vB8seeB(ZGoGz2mXOn(R&{|eD*(4v z-I;i)d-{TOU!=#WNOxJfRDH=KTII|=Qk=<7S$6c!vfYej3ui5@=Cyq)$r^7;$0VQe z-RP}#_Ee9AA~$8Z9B}9eLHQ^4103+cA_NSX;Ux7z2m)R7?cE(pchfct;S9g-G<7X+ zaeys6<&>Vx*@JV~kkyQ{*9S%k^!;}iAG7#Wbn=IiMzSW=8EbsnDKQI9t_x1(;Q@Zq z!Xm{}JCb|WuHc)P%`qp{t(b`RK*qoe;JWOD>zt`!40(1l+%Ktnb;&Uw2*jYS00PFk z=gsf!GkYplEk*?)3-uQ6mPdBrn+)MFKblq|B$u=wZ|!wc-LtDUUaX-_s@dVQT$vrf z@}%RS&es(@0iMdr9J6dl3EbD=YtXu5m`qc(`Y z9S(@R^S~w!hHr<13lY+GM`qHH8Zmi3{RY8q0i_J?fDRHk2%3u#Gj|80W=M{3xbQCG zUq^Q_fLefD<8V|Thaf^cw?{HWBrm4Y6PA@y!c-+hedvJVs6~W`3|Z($O6KGGZ%B%m zL9_|w((x+6gqAO$@FZ6$mQsLvN)mj0hiG9ZKzYH~9UeN6vP5V#Hzh-sK;lMy)H6Vz zgk0X(Cm#CI15&YvZt*d&KHBG__XE^3K(~Y_FC4oCeap|i$b!Hbl!Eq2?IJ0P#uDX) zM!%pxeM}>t!yqx%KH3*x7y{HYM88BR@1MMS^@{x+_bsk`6$i3Gs;bB|%{cKM;@`csn=C&G0RrA_1A&ZNb4Xe&3RI>lAy^ zcUOgjICq={&{)(D)PMXV_%&cYWO!kpLM(M4|ERb24I)0fN+@LTGrRHVAMhwWf-zx~ zfeL#E`27siHUZig+koe;AGdjRN_oJ~rBdypu zVS{D<)LLR*HzGcpWbq>wPdR>?%+;sru7nEKGYf&L=o(Hk%VFR;s7ra#uaOVEhE)g2EEcP@-(6zXD+cFq*y|zvT+-~Oo zw*??30mx;3gwsvKpjhnzv?&fUPkzte$hVV3lJj~Y^Dit8K$Q4K#$%@M_YOQ1*VLl& z9;=djl80)8cTQdMl|PnIqgmz5Kl_4~`QbEg*_h)!nJ8D52cxX0&522ONua4z<2#z4-$qYvYyj2j#S408I zYAa97v_;YE8pK4lapRnk^~?`;TFkMzSSM27AK;|6dH&vgZ3Jwb)rnTOA6^xvY9&Yw z2q@T)iB8*?78lOzMrU&x%$m4r`h`)mW>L~~0t^V8P}PsHG{;K%XO;AmYf`0(?18bQ zDOmzc3I2Um@tU3BZ5n%{#(P}GgUBMoJwuoJ|85{-l4Owbd zmG&h7{9TkL^(?CLDF@!QeG)+Ix5{I*xSvq&MYiYgKfe4E$UmX{L**VA4-KH!&X#N! zTf)a_Z5;ArjqMCL?{G}Oxs==c5-E3hRRE%B!6-QJ<}7M!2~t!#07yW$zX|BzZCl#u z!L5a7Mo=L>0!zF?pg8zbS{3$D9!Q@D%8g^~Xd36Z;4eA=w{07o$?Px6E~&XK28BcY z1oRidF{gd-k&TwJm{CNI}4$KbXt?qR4Y_5#zO^w{YhCt@X`h8 z1&n^$)v004wp=Rd52T_s?@JO%`EA13S+Rm~5M^c;ARWe7*bW1$5 zl#SEfFA<|qE$FDdsTTM4=2m})Mgx4FGp!Opz zhb6~@?VyLZF81@ zbT88QNcr=qP7xa}aA@$-C`~MQp>)i0Ok;?K)x~m`+f1EHdR&x&w7bSxSco{EMv<{H zZdUCHGC|%DKx%;NFF%W-z*^q3mFzD4g?BGiqX|IjQvux|2@|>fR-(wHj9s=`Xlu(N z06xPm{&#5~W06V|GFG;~vgdJKv9fG>29J$sRk$~x?ek`li5;VZ8{B(eO z;Q~Pc&ggFr0t3X@DL{7(EpCKbIj*HcmGiIcOyMniV*mpM4_BZnDT?~{Rl??~EXMtv2LApJoJ6-A6p{~+IL#pRn3ZzBCY7D6Z3z3=N-Fkoq z@Gy(D+b|S3qAB@)@SViW0znW_NFAxVVTi=gw62Co1eq{5fIpL=^R5MpV2z-=?yO;g z4y~r4IbY(LI2pK2-*UiNabYB1==u0!RFAG<(~*IH`tx-DRH|HXYN;G&EDju(`fE}@ zi`0qsGzn-Noqy*IH1RL{KQ!M62mG8KRT59G)C5q4^rS)n6>&f(`9z>DH=~>+d260-aO=IEcVFsF! z7<8Il7(7k4&HMZjm+Ofe2p*O{&7Yp<_eLj9l{o^+sdt_^Gr$%Uf$Kz?E<5#vEpwXP z_sw?t=RTFX^duEl%31cQ|KsJN!9JgfH|R8THZR-1m_JP1bja>m{}&B5oXtDFb7nlo z9Ex3ckgG}Yb-^ClcO#n@b+S+>`^;;chR%-Excqca*8hqoQn8Yd;0>L#Wc7*~-&vY6 zEW;g{nfq|$yK0b;e5`0#ra9RGx?r$PJQeU?oO2KOm=(hLR9N4~@cO_&o7sh74D__g zB==j(m5n^Vhl)yesl!!vW1XK&P_n<~_DSJ8!HkUXsCsBr228YXO|Q~S(*G)M^ySg8 zE5Pf=P`_lFFAD`4EI7eJ8$Te#i6aHPKzqIlq~KPodpfe+`ISAFo!lw*7h~Ig7q+mi_*1S$%~fTQ4~qHkHK5Jw{etVOhP# zPwf7tsw{xU0Wej?vqhH>*eKIhUDK6oT1Gv;wC<}Or<*|KqMnj9eb214Vp7SOy)7rQ zplM+O5KhUm%a?g?Hf&5SD7^eWsCv+2Xcq-+*GZ_|aoWnZOYU9QRp z@bBbR{#Y){z8kav`-Tx81sbKhg_#B6p%6glYtk52TiV3zb-sJb5BSJ{e@cfilBYoS z-JR?%@4_Kx~^X+mtf!% z?8rJFWJ|08cI0-|*m+Cp{WbAJ`UoLx&%aSq?*UxAT!V9K-4|tR=H2BF4JbEt%>qqn z&L!QSz?n9w*b=Tyc;;)CTRjX)0V=3k$hCx}SxM+ky=*4=w{=mNEfWg$Q$vQ%rtEV2 zl<#uPT_cm3G`K!ymoxZIzAgFH7@2kH_wt?Up!g z34w&lZ@>r%A(t<22%bg=iSPT@ifd->v#VT2$a4AY+&kC$*L|&jt^fbOFC(1fs3sLn z-iLHYKkjY0%eux$%#!txKBQ)|%Lrne*4sPme|qUD1HBZWw685;ybk%TkPq)loq&kd zZA}*Ent!Ml=Ce1S;}ZIAo0G87e74FMXH1u|T5kE{zg5|uQBkwMZiV`{t_>W8CANs; z){>JIdR`#hx&Qm;|Ikfr5@z9(Cs;d1(XMDF3Uoq0Am9)a#&qtMgxrSEW%;4(O!Pc! z&Gh4B!quS5h6P#yTT2YtHxtz^4l%qb9b6b(B5rP(pT)GrVLZ4grG@;1l{zF*% zV484W9?Ef3wLB7+d6F!cCc}NCONJ!;e;~;sI`s_6bYmi+GZt>OP?E)j=pB+l$rP2y zl9qDZWCVRu#l<%xc^QL3b-~eD!6S+5E}<@370-l;_SWi?Vq>Ofh!f)P!Mu`@QDyWi zsuXEvsw(OT&@cWs{dS?gbuWLrRNsdEw{?3I-4h!=+0-nmg)XNoz8$I%&eAPprYp=~ zr1K?RXv<^IB;isg#X}Y1wlcelnVidFS1R|U~l!IpciX#pEmR=sQ59D> zGJ?QLFzaoD5nO2hf{K!d{fCSgsALjb0cn#}>pYSlLfIj8*CKsM>?2ZT@IO+5P)+w4 zy3LfXZ8U*J4TzG>n zWtb3F^28YVT*ZK}dr-ST(#0&@my|(b-0^ac8F`ly=(#fQO1f2%P{iR)g#8d8BRki< z;c<~wcPGvHM7k4pr{%huN(4J*;&4dS7zi>(H=@M;h9pW%_!TmiplXC*~3phjBhYl9)O>7%F5JTF#$*TM8 zz>1;BK->)3sq_YRnLLa+K`=iEJUl9$&6UpKJhIt~l~C>o$$?(=#y+L2yz$Q8#oQJ|LGs$FSbVTXO`s2;-@ zs40h(L>?eiIIRMDvWN8JBvUsh2^$wtUPFi4Y`K(IBN=LTRlp);sWVEIRGn(7ldOr$ zr>~%^XHpb09onqhv5^y|Pes>P&x-K}|0eX*YEXVk<1yr1jOpBeW2M#QAEK#$m^E4RQaEP3}TfiSbbjFU!Q$(T5ZbuVfi3Wb<&n#R*jDt(Y-6+C5!y9wf5Nt*ES4mYPGeBC9r$Y$4UXa)rh&&7lWsftN!K7|moGJ<|+dGv)ck z)Ij?5u}m>4^xN8?cc~u=lMw-c1<{xCPae)y-q@!=Q$2;=qP`(OF+ z{VzTj4*~O#m5jzG=5l5p^Ce$|Y85HR`+_GQj4?nT>jp*26ddWdB`C*K5aG{0{NitX z_@{sP!>@mprQq|ge+{3X(}j1-qqgCw+^0k_gxa!Bb4!K+`t8v?s{@kaaNM2P&V0}N zZd-eLv>cmHpd$kSD}_@K2bDm7G*}rA+q5(pkGRf@eJue$UC0e4@x?g8?K9tDeHpJo7@&gn#KXZ@eLoqNaAUs+Mi8 z4GNkq&0LAICOxj8{YM+}DOYr}bxOI9ke;UXHAncO;lvEoYuu-GJo< zE$G7Pg&WTv2jA=37enN{c~!Yjtvm8f6(l#Ly@a9`Y3JF#_z@kbQTUz7Q&ogm24=|~)W)J0|D33T)iH}*-yONc1wDZhsn~3w8 z)#8e$KAj#ir4@9OG^2a(Q8)(}G2V-%(o(lolhORij8)!?bgkSJi%>q5^^g_KeFpW{ z>^H6_wiUB~HmLNu<8!oCwp7(sV6{7u{F;{kYd`xKdZm7_-VyV9y*7npbAo6&?7fO= z+IG$`4kh9?-5%S)IbfPkd|=gCV_>bP-!q-fu@%=xO_sI1ER)nXc1!7TxjX79r$v(pA2S zd+%-16H$>HJMjoj(~Ub(6W7UGhWn~<)R>O`MR91Qmtd>t53jzJBbEf*)U!gPYxlF~ zq-XWI)VtymTji##=&V@m4JYvftD|L6 z=?*0dOc`>vpow2U){13A6el+SxdTu3u2w#gveUg@|TZC`;5y z6afmoM~FTgdef82?IfLV$&C&|y=$T(c#bR zfcB!7656g8Pfi`D6EcP)t>|{9brSE<26=;|xRZ1V8v5SU;EvWVdq{_7;k+l|eCi1x(AE~)phkjTGU{)e-d_X_CN!}xpv{TP2S9;% zX0Q^sj#X)CEN~oX3N`q%L;+)J#}cn)0zwN!z?S#`Gq~wQAqRh!%$&>?^5|dW6`^z`+?8la z{81Cr#F7|y#+V++XLo1PgmBvB3fKw%5tGiP2?0kp6dKF(T|*-s;wG!02<;m?M#`An zNinewy@1c_o^hlDq?sw<{G)_2o-H=+F#q=E4)?7V3ehg#ZHaC{#)Bke4MHmx znGEqWhREVwS*JLP1O!6_M|{K~4x>lx12;Byd_ZAzz`<-Wvsh!-*EJTlBMW)Zd}P23 zAr}d1(ePQ{y|Dv!lq(Kr_@U|=7!nA2GO2qkwBB(!0FTNS}dxquA-}Y-?c-r%E@rr#*0t&R>4xDd1)rK?stp_Sm6`> zAdUNDd%HC62&f&$5*5jpexFbdp|OzX!Pq0*2w8Dmi*fOhXKYraf2&eVJ{qI=L@zcP zk0y@?4$eWW1eO>1%5LD_(BmO97qlox3`z{dYCwDoTKb?%aJ4jBPCnWW$aJ456PhP) z`nQP*JDP~WfnWK7akn&ARl38%2^>P(2sSTGZ|Fng)~qY4GF#e>&<@TKdV2XZ zBBkab+g2&oG|^Isw;4zioyhnNSUR)1q!o6TIhhx#A9pz*N#f<>2tCP zG0vXsNhLJ1s$49D6h5O_?y=uKf#L)PB`@SLtZ0|%tU=TAR^raL#K7dQE9v}CqzFI( z=01IR;C}LGNB(#v1@lHd{_Aa7zxs++lc$1CYcJ(m!KS3w&Pyr@Z+s@*@S@(4RT zo6r;4(=VS~()mC+-KJ5ecf3XxMQ-KFhF#a?Cpsqx;&`DGe^RA+ko@XBd7-V+^F~hR z{*PIf|9DxS>?&4>&}aSlQCc|t>S=A%?9fel+>+$i+`sw?w8)=$vC(*fe56rqvNfT` zu!TRpwD|wi(vnNv^OGwNcfcQa;(VN91xZff$^FF3`nyl32AdjEoFwUKStndrp0Y0l zZs!8*Pu`x+yYevS%#H;$&SPF|OD_C%wfNa?`k#kM~o2=nYmYpL;0{lv4q(Q8mg z{$vjXRU33((_1U(Xy->>G=BPVhLSG51IQ~$#CP5zs-8h`S{r5Gz zVD})ly(amJ9d^fv9c-A2b2dF!(e5y)G>MG=`wd*d#A#RJ##ie?MTRX17{|y4vZ7b% zeIICP(06rTmKATX;@`$NuEc0g71u4#R{6pgjLE>E*J4Ij5x%ZibQvX#XkZ)L3>U_| za5*rXDdOM#Fz$#|Yvt<~QNE8mCId)bZp&gXxNIEaWhM{>p$OzZaS|KcI7z-N;Ytp_ za|4HLi#Wnp1R!vf10g%xjy?)a;b@twt_`kjD!!(#3qv=WZbx>XQ%CrAkBMRqW^h)* zCyfbTVbtZBzswf{%VFgE?v$#~?{b|lbYC$PS&>V_(CBTu%W`?mI(m}&UgC{Sq}}We z&KHr;pm-SbAavvLHsp3$&N&M86F9me@MC{WQJ6f|?f0fI3}KN6Zsbljqu_FYyUzzCx+wo>(h3E58NEq)G4n4zM z;y5t=ybtCVV^wEa9QlQ6#+<}ggg&ZY8a^=5#gYJcIyh|V5+d=$J*SV(hZW!*f`)h4QA`@qtnz%pT2rxw^_;eJP_m%^1xx23M==F{9{2V)*x^)3Knp zIrDNxTdLP3Sz6~RfR0{-)11kLoHBR>zb*p@I( z=%S!~Df#}~N4F5vnM@Gjg!Xp`2ARg9M1B;^1Pu`+fnug0#`}nwqNmFk69{`@=+EQ~ z6dMfZeij9@m=<4A2(xiKWmDX?b){SfYj`GY9`zGTe}&!<-4c?Hg9I4oG#;)?PxD#z z<^epC-?6m4%;1l*h*it8yZ z#amM$8?Y>BO_^}<=F~ty^qKrx4o(?IfvYYDDEDy5wkr}Mfnw*O+0`0tKvqN z92stV*!l<-9}=sOyAk&1RKV`u1Y)VV0M)TVSYIW0&CSRavLStM>^= zYN{0MLd>5fTdGHxCoUmysnkZa`-Fr^6c_}4H7<;2cOkWe##rQcLP|yxM`Fu_LKEw@ z76{Zn1;IveNOLl#ORU7YHkR8|fYt@gAM1?R^BuJ=kyX3z$3@=?*^4TCo8iA5`1eud3(P;LR5y&p;*94%YR*mM zLf^vxGmMsOY$$(ssy3&GX(GXI%@h)UL}CPi%*UOAu)E#Y zv~G(HdlCnw{ zR#1_ZRI*ZNo9Ih5T>`8BGuyE_9h+Rj7&3wf%fh4=8NosY?GqPgB(6`Ue0OOY0uHFJTLqU-Cr)Zq6}~mJH98A$fnmF3KqdS#bjT)%Tw7g$}Lx>C+r2ZLn}rH*+?)d z^y7Wo?2YWhc0fe7Og34ec?dNtL~voBE%&%k;jojnPwaZE5yBC0RjBV!#Ns42oI}>( z;wb;7`zn_Mp*%oiuzVqLNCfU1gNrj((3#gc2S=qD%^v~Epl`=A=RiuWtDJ-jKIb2< z>Dx==wH{A6eGJ*%@=r8PsItMDMwhye8P|-K&KldB3S}kRDq)UR$Z7Sd>`{4*o zc~_SF+T7B!lI+dsS8hQEhI%k_Ltto<8*%TzDDbG@!BvxzPXWzdTP zD=@MJh?Z;G=U8U#=G9ji#G$?)X0p!77Sbo;foG(|y0e*F6Z&+LFBwCX;|3_>KdSNx zx09U9PB=O|UkEX{tj?zBFF`NNmgNJT>r-MjRC@$|e(Jexd^r#+VfscWl=V9J)2IA2~U(8%Kd3GF;Iwn*kF+L+e zMUN9CTuD#O5sTSV^eet_y@ZL;!&mB5QRFf93$?L0V@PI_=xQAczSavf_?+1xcc=2egndO6c~%!!Q!cnItrhRhkP#jC747J1+EcB=Qqu z+pc(~>+D|Oc?<%jBBxkk!k{amt3?#ME~9;Au(-hE8#^@i`O8egSUORT7yGWGX?Qri zL1Of9ll|a3u}AL@?m5E2!ZH2t-+1GVfg?@5aW&;pz){psbfo&=29`t$)z-3YYLjU2 z#$IgywK)<&?h}{snB-tJTA^M&2%ia~AnD{_&=-_{okZek7#)eYHIAG?(=R<8089!T zLly*sNdpNH6}`(#jQ{v&a8J$^g#&JY%NCdHgYZxh%D9k4p<&SUCE5^;0;~G1+9U-! z6cav^VY{oh%kwAT)E=_gG5fYAeQScbLP|_%&hzlKD_1-ikTw|NA$-j=msXiu?LKqM!VJ9l~ zcG8+SoR%@96JhN^0OhcWjO3AQ9XH>`+~6n{^!!P+F}WrpCrPE^0dy?;&5ogtZOT+} zK4!Q*sXK|<86iXn-dXSX(_*?*;}XcKLdJmmv}vxDK#KP|eYsE(p%7o!j~6sctjfb? z6{?}Q&o>(xA(n<6!Jm|tus|%tr@&lu!+La1#V?lEMzhssskgfHRtSQV1cr ztgh|YJmv2EXq#q?Qc=!S>OlVU2y0@+RxGfDul}gS z#NVWw!>g~LW!rp-GbQijV+$6yLI(IdKC*1u6Lc1`l5Xm8y`?gaz$t_*0Vji@NvzkI zVDt{D&Cih`BUelj&zX^!0HK0_FQ?tLWgZiI{ZVSOUY%ury^QWO<85!f{D=9d5_+un2yU6H)*>251G0I z=}`*hkz(9qap#y>1zGCR6^eQ)-5tvvVZNYKVIpH@8eaQ?&Wn2Cs@8Y;IHMf(SisT!U@l! z_=;`@O2{@t|BKsko$jfFKySr=y$A+0H>7=4E`Q3nf&27=Pt~TQgcs!s$HVQ8F9o}* z&DYjCTbPmX&lm@BJjdSlS$cC>wszBG2i*~Z5T=qV5;l-8|z zYU_4AY5yW)B+0Y~=q4$Sxgye0#f_ULC3%;-VA@Daw~>*dIW}6^6xo5Hk~*7v{TIfq zpw}<0rahqJ)5WSSs&vasmFfv5b<`+W88H=b!8Q5XnBI{~4Z0f6X(n=GC9qs(QvZ|m zM{C-t^Hyka|oj1&hWxTOKJX$ENI3UxQq-;&M4 zN!&4_QICQ&dbRD}mdBVz-kFf`%d@NBu=yH3yujm+w)rgJQ*X|Qq&!vcy%Lo_6V|aK zN9xHqIR~YRlr;Cb)dAqD*j)Qe*yOPpof1uXpdEREzkrsNoJl%+(H;n(JL3SM(uAFQ z#0VXn3Hs7!o(8A7mILp|Um3-55nnZWI#Mc;f&^a)9qV>TtI<>OQe$<|5QDs{!B(%~ zm=cs~6p}5Fr2JnbNoOWEJA%m~nD_ETl z+IIvn%Lkx(DToHC*#QFx+_Q$)_=G+yeA-9)oFpAM*LxDULQ*M8r#tQTB0;-^U-p>Ak%dd1tCpvVG`UN8lQm1RW*x+GFKFt=^4Jy%r}G&XEzd$+L(%0~ zv&H3#I8Qijo-uIzxwVqeW%drVsg2HrFQ|mx=HK~tYJKn*AAI$@zx%hpPKflN|-Rua(4+WA%w@#*%MKR#sbvkhnP+&^9aRq1Fdq{otQ| z@a^w@{=2_}Pv4qKmo%^5J5XPNDol7a8~4oD%3dkcDFuJOa)7dk=P)@f$>_o`;_$a`7NV4Klmp4;V)6) z5B}vY!@@@FjM>)-t){PGuPMPSn@cS9M8 z|CAC4lf)ik0T|Q2g8}%~c`xa7qkeLdIDWl++_R`H6s1L}AN-RKzHOrNUq?&6JuTqX zU)-+Kq8-T(o-l37s@z*LvfuvTn^S@OY9!5fz1NFt%BHU`dqR5SdYzkBUu(A0T8GXP zIt3fYciubPW_Rfl#h~(E|LzyCSig>_+ z3?{_!R<75yk`?BCwt)Vf84(#t`OFarScqI~NkDMF#hzL*_2Do7*B}1DuYUi%FHrC61ZyCPGr?{|d310i1Quy=*QC3}X;Yg&`r_Ar_}=Hg z_gDY$N5B4G(d5y|y3z|C@wmjtjvuT=S`q(*F~Z;f)_?PZFZ{}fzyC)+__fcoQjhnh zqk+A|A5p-x$UuSHKX3eG0>FN6e)tDp!_a*Ao4@(}-}(C={?hN#f8sS#1B#-zHqT3P z)X58{S+`3uKL6;;U;4rCz5j#X`Y(R;TYvh4FMQ*}_rLhzFMs_BmGvl2i!Chj9BaHy z^9R5Ar>Nrh{`}W|_-lXo`ZEehrjyO55M%KAN}fo{^1||I^UwN zNJ*GkFohVvE_$XAp3A)c{vZGS?|tjnzyA;Z?)U$*UzX+ax;_gjMdB&AEODLBiJYev z{i!y;{}2D<`@j9?=(ivI`afcw^qbPPev7-ct+0<|I?HXDUA8O_@3z!ve(;6&fAkOj zjBv@XTWSsIb=7_XH5Hm59f#C*M1V%IHs0mgJ+HOT2qR1t3+tRJ8aAlA%+R?_$MVM1 z;32L@{)<5Q>Nugf-<#yRs`~TiMIL|=us0$fruC=Z5P!M8;5dgCFd=A?> zU8pxy4Qn%dNoRmgl21MIysoygF<&S;Ajz4)X?BU7ga+J;i9;)yCH8T3rPstL@xSqz z0c^Xhdn89;0ID)Bgj!u@2ty>h>S2+h8Jr%Pd>guPr6wlFUYrNFd7X9W)VR-7*~wbY zP$Bx54k6FyaX$_X)H1)uV*>8U)KYHMEY0pn|# z66}-?+zFbCWg^x}d3K%U*`nJ8B1V{;X_X!t85w9Cc6o6NzgXceB#K4@D^PVj2syXD zTV~c~mSv2(!l${4WxivS!jaA%;#=IjmUQQmhBZ}+gJV&o56tLJMueu+UD~eKbjrEh z!F}9JmC_s&qTr@noY2Yp1qsYAw{a9X5rtVl6EqzAu7#3P@AAt9Dud^ebRSE0(L2c1 z()FczIP01&7VF4pPx@%6Vpe?d-qY&F$Mt!p-uHe-b6IV9D1s3YnR&nzYz7kMD6b!rKN;B5X~=uWBzB|@J5hlP zaWsoMdD|rDCAOI(uHesd^$-oE5qs95W4y=Cv7rOE3do>+atW1`PQ7vlzpVh)@KZQ| zCZ($#QUzP!nxmpnO!^nsx@a=MShw^N#mW1?SjwC1jjv`nT# z$aXo&j_qcvc%iz^q1kHONm7K@4>cV+#U-$VP`O&t(}!c+q9Lp)>Su71lId_M?w(cp zkQWz9qvt~|q*2hp=#fskuUGHk?Q0#Kf>mi zu)Jt35d!f8U4qocPLGj%kv8d-g?8!a7=pBMM^GNa8v6KZN4B`m3TEFuw1nP$44V6L zJKM)63qZ$+I#AI_63*9qX;wGAH)(<1Bv-?%HPGcyQ(-E3i%4wiexI65c5bpkSH>QP z^^)8QP%$vO^gerD)NHez>>aWTUR+XLh`Muau3u==qvO>rEN?VJoS|XD0-$Gyi-mNe zo8wYgKSuL|4r%LxgylODyX=^oKz#%Tsp~6q+Y@4s2yr zwi3p4Qr_q`s6+NspS)8-q~h&JC^a}3;Ew9*;I{p8V+Bs&$Ck!z=d!hp3wD0rd=`Xf z))0CsI2R2Vz888^p@TTrRl$4qV6t~2ZMq3ZL1=Cq+wN3IZ$0sqF^gUay@4xGGHie5 zkKnnXgNyT6&Nyt3mYH}G5EtCIp{~q4XwM~&+*H)u6gCR^8-+gF!g&>W6R(7X@QD*? zze^TPQkmhbUhb^n)~w=XHAMn$8%4WN5NEE0CbYy_GqdB7cZoHwh$IqTq!7_$F9pFP zW3Sc(^$J}p)8rz2_Yg(|NqVI7*P_5p$q2;aPLKhy1n~YilZ&ZP%6pw?`35<35>9=h zweJ}O!*QY&W+4H^R_E<*5Qi?bZnO1zfYF~+<1UBZaL7}pj6CJxyUJH=|56AyEKK`N zsc-29uVjw)2NHzqsWg4FR%z*V9VQk7XXrXw<)c(loJ(F`MBIR;kchPTnP zBn&D~6iDW^}uo%8o){>v5T`|swVH+~y@?e|v4b$`G1Mj4KN#U~3*QT;j$%tSpVj5_N5wfI3DyR2 zo;5(+a-+YOCma>RuI1d8nZ_+36@4nWBsLaA2c7P6QecX%cwo}%oeOTcqLSzP4(Y$6ji%5AU&(DJX-R@Q0$f4#861jDq zH&k&b$V45ZDWmHMkGz6wQ|Vt>gPKl|LGi~dotjH^mK{iR#X6)o#q z8jkn)r^d!_`@->YWI}N_ zBP799evd6AKUjzQ-a>9hEd@7mVAarZ*EuP%D`a)-7lHS}C#X~$V}~W1RfBQTK1a;F z#8yv_(?A83QTR#g<25BXFWlsXON6P)!}xF8=HZxb>4$0M)zb6{dvoIjd~;Z49f2hB zxi9SKh40}+W~FVbRiWw`%lzwSS zY%A2%c4w^_gR)Ow=Hy51PLG-opB8!x-R8gWi4fz&UTE<>>{Lt9Ri@nTd0{gH^4#6T zHbb3pu#0ZtF}H8OumhgaHYpEq8DE)Y+SDeB6Cp>&w|X*Q!Y{`Ii6%~+RJAUCO#-Dtu*TZHi*w}g@(HR@g>s#ES%4)2bna^;i-L%>4CE%Fk*v4@I`TGhB3Hb}eWQ`G?FjkXcV$U-HE6gJ zI{Xe<*3?_Ul9q~h%u~B%W}@XEHan=GO^GJ4UOU_i%Z|xTFcfGB%2yc_Jai~aIuN!H z7q1234p`+obC(`54(Xw-_{1QQBW(8eB=&JEJVSggR`^Qw2fm={G_=4AZ?d3{}z=v(wii|x0i6DHNWyrB%bU>3XT85v~SA|VQf>T-=zyEV|jZ^No z%AtG4d#EDMacjsoGz^$&Udct-NkkbH3z!&EX|}5*JQWJ7;@4c2_q_3Pb0W3@;UjVt zT7VOiCpT`SW27!kyF+Dyj=mkMQ@f;UItIfl&0@J$Bc2*di5>PJhQr0ODx4<+hcpVgHRIevU2xCSHmGmzhbm; zL&rIJyr7|Nama@nImwWlM7i|bP%s*$vbtce!tXTSZm<)p00XGHi$XtBEl7oirLZ5K z)WSg|qt0&I{qYy{h3_7p#=eSh#~qcze!RGHcWs<6-NC zj#@^);R?qI|1JSu*rITgXV`yw;DL?<_helX;*1&-LxZ17ai3qRTG8^fT)_c#O^2daFyRt7t06m<|I-(&*OY*o{d9RQzFL5X{?hR)s)=M#5eWBqL&BIu1FR7!Gq9kFsO_i1h-B-_T zY&VSJRa0S+ZG|*%vQ7q%hC!CV@T+xvpuSDcPud-^Ql?!s4Bxb=z0i0N%0PSzJ&qe) zE;h$)M)bkS{660tX2UwvcGPsLOo~614d0*4wF0c+gL#D`a!=di13|!W7>(9KFU)lZ zVZxHk5g}Kk$+)?#gxxVT`Y@km+GAtLP3?})2-pV-ldrVYZl+ty&}BMGRpKxDN7r$~ z_#&frzHNC=%A>|4X#S=&Y2dFUwzfC;kM^v|Sm;NwQ4@*rB4TxHBR{6Nq@8W3qq@!- z-o3Q-LKP1~E<;Bg%AImDIhCy}`$-p^kMb{$b`$(^v9NBB^NhdsNj>mRqNyD7S>&91 zkwMW5MY zR5f3oKp8$TkB1BFd5z{z&$Jd$qeZFAqWD)#4E zj?URdDfP2*l_Eu4Co#fks_b6W{7NvFJryQvj8mGl^VmAIK*n=Tvytqm&WaSBcr1$( zGc)jkptpI`j^xe?Py``R#|s5Yx360r@OGu`)9h;EuF_pe3I*}TS&~}2t?RO{Y;>(~ z+`aDT#<@J}1>RCmILcaqEmLB`YgOSp{2j0N^QN7I(7xIX?FydU|1)8?C8oww9Ae%! zmlEIRU(L$<7H2kY6V<%OxOvw_s=(iLt-Px<>UDLJ&3MU)wpi+WjFNnzoTTl8;PNWGlt_&%*x^g^h2G!a)VeF|C?w`o6K{FM%{WDNI$KBW5#3S#oasuX>& zJYOqRQc{8)7`L+I%S|sbzCM^8y3v(Focqx^{ArVi)mjKwXRMFQQk)#&HjU|qUAa* zhV3VIpIEWUA}WX%k{tvzPs?$}DXvV`x6Ny1oqe++)&+@ja~W=&3v>dwR=F!nOANwm zUW$j+9wpa=T%VF{MT-Tu+kPoT@k~s)&C99Ecj;J_i#i|GG=eVGN1+eAQm0EB`Pr10 zzQO@tsHLH0hF7PUcmhl(nvhLy)6Yk!A>z%nerLGY8jrp}FyVBben@@dl1f zYcn*-A-hZ&tqVW%+)hGZ#4`y)mRQ(=aUM{ul(30W9pX+xXe3u9Bm$^~+qFcwG-Cm7 z*a?UXXWj=YoF`Gt$>UaRQ`$Qu*oc-tI_3$#GKF~88={yGT&vDsiZ9T8DO4&alhDi0 zT(6T7V@6z+;@FBOi0IZsbjGMfy_f`dmg|*K5qh?@6yser5#eYNzHPYkP8o(FVS8}w zUz{9qC&Dqt(QNZtD5$f<8iJtaecRW?HB`LqNRWgwIf`D$xm*!1?DBht`^Xdtlyi{P z#a7*-LJa3vRt$&~zn*8V+sX2c^yi+u!p>Z(=>MOkJ3~9aUW=G2&@(dkXlc6`<;K?} z9`dpJpeiA!KIqWSpI|kR%CgSZy-ZgatM>zF%qo7bge^QRu3I?z=|Bj})W`;4w(_ zI+#UU(L{St-Q^R;ekHdy1%%wSjS30@zjcva+b{xG2PtNejNiEs(Kl{hV7=Q?U$HVUvFBV z3aZm(C9z$l4sj&TBkoNvNV5bfWjE_QuP?$KH72-L)q6voLU> zu%SKie2zQfla<6zC;}Zbo9RTImLj~NJ+3o}jO=$%4vqVGbN1ze6Z{3)AI2r|`35D0 zs-(U#u6unN#6mIWUapFs10LPDzT^fvFjen0i+ z`)PzprpgLNZAw(EPf4Z-+=`c}FnlE(8r^h5lMJys$+#b6^z1LU$XV9nhX+@s^P6DXWY28>18YUdW$cTnn-fRup+-Lvq|3+k4 zQiH56eLBlI{pL{i|Me;HoBCn&pL7cSd;d2>eKY@kB4GHPbsm)`zyD7^tL;~-{7yT8 zi}M?%*QPBPTBA{Ii}X~k*O;_|quw6XTcQHktMj_Be7STeH+6R9Dqo55SoeAVyKF$} zT~p<5C42BuvwM^5;YZExTi&GPeZG?1eMb-#KilVPMH_mSKd^k2-#k`GMrYHCPYRi! zD;{1WMpsL{i_ZnAp45WO?!l~=XkM2^7;7bq&SZKdU3u!@#$TnyAm#B|#g`;G@;g~3Do{h3xsIE84sAk5H@d>TJXk~ zSH23JfBI8oL?ao|6W8b{d;H^NPkyZIq@?_DvOAai@2T0(r`|{G{(tAwI_Rg<3g&@7 z`WmWmaSg(d4!|n~JroociohdSUeADtnnkWbRQv9=%G^`Cp4glMVqN6 z`s&8gC5>$(i0PYk7KJ144C*@2Cq{oHbe`&iWfgZDAzxGsic0SG$wQk?QL`{8U)4Aq zC-sdGo0mUNYLAk7LsFNqCbPyVf=VwMCk+kUZ{28kM&yG>uB+fF<+D#58{ffH!Wdf; z1;SW*8Ic)Ur5!&PVj*iue^Mwo^q=47R?{x_Wa+FnXt)iPwtjb?lYNNqC`rt)js^XU zHpKVYq?izKg07sT3Vp+q1jn*yksRf=R_sL>qER|-^oDOKm|YUnr+k8>+cPvo+<3gH zRQzrPIyIVOvp(t-)CTkH-XRE43+R*XCvwBB5?G8!M z07hvOdyfc{j(y%4F|^oqYTaQ`-qO?Djci7A&ZQCtx!UB5+}eqoJE=Cpc-Cuiz+eg_ zJP8iMR$LiKYUJBfiJJbKv$rN7@T#N_A{0MWQ&hl@XLV)gaorJyhoCHnoJ?m$j)OIf z?KnQGv4d+HpRWn+Hu@9>F=p*qwSAQYJxl@v;tkT&5JsLeA8{f1uJc2gDKcDLWm{sV zrUU00|K6wdRcZuO(+3?4K7KRLKEt#7>x#n*h6Ckhotmu#R1H@ZE5l84m6zr=U!}!{ z){tYm+_uXU7mAnpvb5Y6HXZ9Ru!i3=IDAZziiy*5UbtGi5q&g~OYYt@-8Kx`di7;| zxyY9Xs{<5pUwEBl1%>x?(dk2z33`OeFZftiTeX`uJz4fpV<#TTopR`&ci7vc{ zJl}A#>z}5S*6usfL`(ha4f1(I{RHLLMR}L*@^svUfA*O%clj<~?&yy5%*-0|xz*gA zv6<^rmnXBS;PSZcc(KLCo4l}X^SH;oc6p6U+R=M{*~kfJGqya<))F!&wI$bis|4aq z(gF_<*a3&>$kcmNw)sd$-zqS6S#@rJY+NQ)*Xz08c@+tb|47b_U_(mZ=2?FxH(M;R_>;vId<`3T!d3q=}% z6{AUOheus8d9rRo&+G;IbR7~1EJuDEH8|>p5(|GUH9ss#Vc6uR5V90Kc{kbQH_m^i^}?zG}-wO(zOc;x5a3@^)}2 zlwuHFmqnVDR`^&=eLHTU921UkJyvM!7|ZVbA|aH6#cRDAVHNlYt@ z6IAWhAk7`5#nY)w=Bqrz-pWV3jpk4nyd06{jZ*Z|yj~iK=N_Lb+KwPAR#ozHd)3Mi z=*-v669|nIrM%-jA~BG;BAhz*WUkD%g2Gf56D`iSB+zAr^U!cVCGo*sIHhud&lsg) z-OCR{LC4+Eg0IPd`+Gr^k`h_z*W`7!bz&OzPD1!qk6unYyR3i*(c9YCXx}jn_;v<; zC=cb9>vVFJ_rSK@Y%ik#hN6o@-O=fB^U6Qzqyg?y-)7>Qz&KAo zhQ^T>XKJ0!>pNE`7iIjXVh!@$n~m}MsHVDmG#{Txo@}{%tX44og7?igU*%Qv)6o&h zc^}AuL$e~TM1gED@>cv)(Oz1E9~*O?IG*w4Pkmggp?=dp9P2`xlg4l2y~*sVStaQ* zE34M^2ld`K(>>%%uHfUn;!9rt<2~WeYfHe1P6pB4o+!$*p!PzMC6)9OKNbk$^TNy_-QG{ z<}^!bUrU)>s;8?`3PfHHS)>e*skLLsFXQ6mpamdh_Ir*`0NEk(rykSY_K3<0m(5+qk1&?@1?&BPJBD+2(|cp5-PQ zPtBPnjAsdTSHC8acU~lP=nIm7V#zBgC<{Ck%(s2KOHu*B(BX4RPp|xBV*X#PBO0 zzIVK1%0Ep;&u?`@lFd>GHksKo6pqRg`+8gPX`-!As(N?VIb_R5@`!p{Y!G5q5gpPn z)D+pVEQ^tJ+aeeWl14^_^Se5c0wKHF2Vv9|;i(dAgJ+wNyer4H+G5a1Ew6IxtSBb+ z^5q5}8e+mxB~63p`rl32ueJ~UN{po#niooCIzmgR=%lb}msUc=yyQ*d)ew25SSd9nk-saKB^6ME1gq2Kn|Bx z$Jf=thW(Th+#rz*{~P%~O@%0>W5YJ9qj<0OJXOM%*H-1&p<+a1B^jO_kH_bPx6uAD zN`mB)uhsciJeK5&1ZY`*n=wEJQyv+~OiVv_y}K)sHmglPg->K4f=d()`N_9i|6fg4ypxwl+jMuqI_Rua8w z95T*!8ft3pRUu(uN$TafF^dagX#iy@&IR9&{V>Ar84^GTU;1vJ*##Sz~S zAu5)-u&Lpj#v&^=ITo%Lg)tFBof`-3W{o_>;O;<7$4cPYl8<6MPr5UdIqNxZk~eEF z80)?t(E2FVp#`KS;H)rTQU8`37fj zBB-8fjGcfjtD1JhO*q83^}@nVn53jI=&edv=rJtFXT4Z42#cid7~SOq37@O%*e;5E z$weE}>}cN*`IYT-d=7PluBghr1j(Y!kslElmdIr+ETm8$NfhxV_U0%GLX1noMa@2s zb)Waf`pEGKYERlUX`kbDT~M?yu`o-zCi%XPslvL15fjB8OLHSkVQ36klc~jN?nxK; zBudjOffWxiGK;nlB2LRoLQIs1Nd&Qp6CQI=RVZVtyuc4bixly$o%CZ8qo^Wpwym@r zlPty@A$?nvsP(~0qZ_e7+#!MMxL93SoO_<|jg7_!=@W5xSq6vrVNh80Y$K zk^YpR<^sOO&JKA7I;^-TH(bgPg}%n^ffNo=z#bxly>w&9rpM^%e;MboLbx9^?KL&# zY-N$qr6|PFhVfTa%#Bo_rc-?@9!0e_+5X7j>hu9sh%vpP_H|a#JM7QKkd}MqlFuX1 z-%xk#uDeWu9xc(5IE>lL*xYr9$AS!XSF^!j4)(RkCV8zuv>GGh{n=>YtSa^bk05yy?!eGI=_R;f zZ~u41;!O`d8^W3_y$u~M=&gc_k@>7UEqH6!;t0wB97Op;RU0GLQT|a?800PhDTuK>=v3+_MLB&3xQ;0`9mr+-k$Ov z^Q~Qx3ey7VTnRIXoea9=sN6(U5+lG2-eHXP>2h17xLxC9gCdNLIuw1-2(1S!PDsfY z6|Sdz5cum~MHPzut8bX=wJxHHqk9bK^NXx%{`+Gkl0m;W2>N} zP2IkFugV_y97_N#R4bB=(=MQF&p@}Ya`O&~Fq+(w z1OfWqI#YWU);?V>(iQGY`;>TwScReFc0A+wbLWn8*BIU|5WE=!KBi{lNys1r6);s7 zJmFq>^#^rI7lNXuCYIf8xLcaL68hP$ysLLit$1hfXTsXh!$_>|PETUfqh4zGJ{uRr z1(K=~D(XGrkC_Qr?Xt*kdDXzeD@5wPL|Hxi&X~@~GX^k74KwL*OUuSALeQLfE8e89 z{&B$|xqMYNEC?;f<>g3xVGKb7bwzZ9KenME2s;c=YtgRKW5%nF;GV9VFexd$~b#HbI>Rdti!`3BGzHEO>@-%j7>>)c9N`FX^sW7$qC+!u1Brddsr)J z&An>Q#--sVwP0S2>U079W~s^Mm|rlus|NE0y-zGO}rwG{^7C z>6yzkv(kCbWOpeMM6r3ugxag=gbO@R!E#3Bq~&`~Cx5yqE{MO@e*^^OOsgss-0vUb ziR&6&gk;i{*5D*0>y&B?XFzJI{#s%?M9CIsQ$uqx?y6+Hf%-{$EY|6+tas(2M0+PQ z&F+iw?5>sA6Q%19 zRAWl{(hOYnbQK9t1+HAenLCzA#_X;UPp$m80AD?Ib+gc;kGK>-mI`cEoAN$A$Y&^* zCxSm(Pc2V>SelA;#P`%g8D|WKm0dNG%3ybP=@X@{@By2L7pcdzi1Z(hn(B`VMN@># zOz5pf(x?XH8H+@>7Ug~aC)178^BbolXL@p_hy~yK(JSXdyT1?@bQpy~MghB>n<$Ha zH#0wa0e!7e!b%YZ5A~OoN|TNMB8K#MCS3_970Dg(#=1f-bi~`31P^&8TTOcQZ4ep% z_NT^tU;Uk&VC^Fu8eF#qh5_q@o0{T7laL2)-6Wy0f)IB)+_(Cq-sPlDAW1`9y85Ic zt{ewiVZ z2bYt2jwDTt_dcyIt`ZV*N*M}LG1!)t*;)=ddXp|1;CEd$mznW??7u9Y=_f#j}*B3hLKArYyRs6xaRqM(3b>r(pLdzX(RDtsH^Kc zA;f!rgiSWVh18Ra?LOb*_GkGqn&k1(%=Otk=O(d&$fH;PzTL4&p-;zaheaidR>`+K zFTt?yTN3Z)7Lkx#U&sa`k_b5otLnv=u>Byjis(OwPW_1=1=4DCkP~4#R_(6bmsY?Q zdl6qH6F)$~H)wVoOMu&bwm(8ol(#fK!18_5@$qk%@CDPsARtk`&siWJdYRLYzvop!S@Vg<4Y>Z37t6bJoXI{ojl`T{mdJ0h?%or-rByI9#gqer+1qXkDtM3 z6^7~IP)y0|V(A|YGivfX-eWvB5rA`C&yA{V6hY0a-!s!KiK*1T_qZ(UC@-1__+aaY zwr#AJoYX=`X7wL%XtagKI6`Z~kgtZA35IiHB7@i&NH0=|o+dxiqRGtlt8Y}i*TxH3R3UGsHg_yq0p)i;-fQd6a2y2u-)P0;tH$)}DDF}<;+E?T-l zsh_$fSW=a_t}?72hEuH@y8X-G*->Kb>pPspxoT7Yfq(5v^Bl2Z_hgIU_-1qcaAQk*0*mSVN$&EUa5-=KUvA9%S;v@E6n-uUEb)M- zE$laJk~IbrYQ#;jizB7(3GD-?&gax~N^>tjWpu*e`?whV>-=Sp;d3t}RM@)RNj9k+ zHkx)nil3A)K`6`P{K}9QSa!nv-cyUES|qlnuH+}@?2J?)9md8P@z;7)-XAhWZUNnm zCaP&>?voE$s;pc*L?|KbB+z34`|ha4RQ~iMyP%|rZ;`U`r3I}mJg_D*7>s`yg-S~J zZ0EKylF|1&>u<+T>i1FhVZ2o@^a7YGGw)t~xhPi^y=va(8%do>K=nGuj%-p)FTl5? z?lOGW`#)QjguY_NO;%!&U`djI@^b`n=t^!Ed5X=O{vM2QmW9r5%&OfiPD6mPW^GpR zPLvaWTsi5!qzw&v&_u$cV{lPY7uAe8A#1>KhT0sKWpx~hT2whV?JJVhxMEzSM?bzC zJwDVbrgC)teh$(nSz%yZlrx&Eky>gWU)DdH*@D!n!tJG|1J6eAKu%(#a|pVbRnH;G`d1U z?K4A?VbV8CK4^!LKd(**?QF&Oo<(|Bp8ABSJMY?)gs749)kwRK(m^*wV+OaE`?$)}{MTe(sGo4yD|K z6ro@D%Nea7+Os$bvtL8A>}kU8XUgextjblZT*;Q@Dl;PJVb-FcCt)MBku*4&pyZp5KFljA-Y!?d}3WFkEykx;B{Wg31WH9OayZO|q@hfg>&$a{ES1 zO6*0t;Nu3=%eR=LC1HFmwj%2mdv9hw;I4!XIUUj8janBNxSxg4sIIv=>aAa-6 zK1U~dVaKhqOkhpZHEHTn&UTJh*B9~vt%bx!9O8Uj7N|fY@3{0`u37maUnrBY3Kj0R z4#m({9;vW$w-`9@lvpT$c4EX4{dMbHxonAzQ&GPWV}*}Fm5e(i7iK~4^2WTUb1lgt zwY;R4=h#Nf8wSl*o6X5wm8AC(8~&zD8?|Zi_^jqVH?eVQVUB@akIxe5>Simr!|9S# z=KX4+4vG0xOqWV0OAHWNmTQn;)4L|i9myK6mrJ5NBXOuH5MEhc;Y+!YG!>5VdOSG} zB}R3TZ4a84Zqzj2NJtq>zH4*Q7DUvmYjKRDeTw#k9h6;+nK1v{Z)uk2(^!XWJ4gzQ z#3Om%KC70e$@VepVQsb?H6%3XJsnx;LhnuFZKM+!xBuOAX>1S$(=_ zH?keqG+klW=s5KlvR>pzbI}ivvP6!W5E}`-4e0)m9yZt@2-jcIwLY&fL>PpViOnTX zG39fT?e3SGe8F>B8#PC5N(?z2sH0U3r{~^`o6~ZeTc;FDp+UzsP1)rf+T+>=Ap#u+ zM5~k4x(J+=W*o`Z+3E!CGx!+H?{)fkneI5jjYn?_s$F3xxwy1%N`F0 zVaMEN43OGRN<+fnhRA1z*sQq($&;4TPDlQte4aYI!7=2-UH|X}LEeonbQ05h$xXeOf2V@7$;ujr^y1;7R!gdLoU#?5i=8?GO}q>_k|0I+DhhtP_v1Z)Leos^ARnZ<2ibuEb zm9lk{Zh*RkwwW>;v6Xb3*~%sT79)dci(>$H&^`y&1-X;!6P6TIE<-s)?95emOqCh3 zIU#pZ^f`!^QXly?Oh0CW1S7}lw9Mv`9V=Zf$yV23XEx|wQIWK?dJt}kc{jWMv?2m} zjB1pJa@z{031(fNm>ee1hDrO1-BvMy zne!k`cUElNVW3J*VNAq5`8`s-&vvP;?69HtJp)!c=)+DuxD0)0P^0Iu(#VV67K3-# z(7jJ%9x8Z0fx$Ce!eJ6=AU|ds^OoDC!Y@=veL7JD?Pr2JvMx?UYETG9DygrM##VeW zslq{40(H`aS_0o6Zu$6n($0_?E>I;>DLn}$(rh8hQ*n|iP^lb!nw~W~7^PJfevj|Y zbMV1HHQZO|Uy_W@beBLF#e^ZqH+^c?@c8s`DYX_HjFOV6vF0HBP4niQ-k~L(D#x$QK@6zC@-N=YAl&(Nc%r_VbPZ&3K^Ql z`|wWVfN5^Z^0w^b+sFoiBd=^RBs#JM%F-UXjDX~q2b~AXOUuxdDu2jkzX`SOChN4* zR=Smbo62EtOC)m0%~nd(yOY>D4oJGZRA{2^n+tij?rNJi#N`{;dYp5J$CLbr{WOlR z&(7zxr)MKz&(3=5(PqB&Iw550EUmZpCuk6pHHh~tG&|xB zwCWzf`b%n+N@(OWC-#%)++nM%`{gdrXeBY9bpagDEwLs(qaIS@TzD>z99mgc?*oqI z-Xs>|3v6E@TO016=i5V~7>VK=Kh%l5AyG6WiX;(ksw$B`+-Cf7aWRU+T2P6Cp-N7d zh(Q`m6n4dh1BrDsPZVoBa3dPgW}lVkY20rk9`Rw13iJtAV&C|kuw;}h9+Cx2=G=H1 z23+G@l7D1K<0w&fSE3jkxbX?^mR&?DPnGaf%Qh4sq7(vHFE0? zx*%riKYgC@2CU)h@1S~@Ej3sHA3Mtujk746E{)eK8RD}H$vA_8yz6lL6u6b%?uQ)c z#-SDpS!^UC8uEmrJl@!IU3r_1bHzihc$8~IT%tkrW_gnHJn_7v{gIHk!v&sZ;{B#; zv^ooCYpwF_L4XD=x2&+7Pm*?N*q|6x}g#9@` zEL#Y`hR&bl0kC#z!gVX7B=2`$HGySa6MdHvMKCwf=BEu0&R0_&cX3>4Q zMw`33pB^u*#q{VKP_shO?# zF#6OYBb}3XL&gytW@XwRwbx>coPsJUd#R}N9&g4!?!srs&~(Zq*!x!=N`{SyN7@h; z=z0?zq#8BF@xK%%(Jmazfz}ebj4{@X+1ds$$ye6tF6~iO=?E1%H?}v;g6n^Q+AZrY zkf3RsW~0b#yVyf!4FX(2O-&|#sWjzTFv=COK#x(?n$x^*qJ|S=S5l{;u4&;SECD&% ztU|}U(7p-6^UTvyNoQRsfL$Gr$gbi2TIF;uR(6$Uo3;mw*_8y;PVnj3yU$syt24XT zirr>Koga2I7k2@EQe*EXOuDRPaY7C*>Agfd(NHI(hLccD$>!fAx<9 zn2opv6Re%>Fa&f0TMDl3f*|d%!}keq8XU~r6r=-vxbI02*?LGA=LDuC-p zL|Du?>=P@0;wrnZmCX3Yq?Ok7cWHiqSS~?fL~q+Yc=z*gY3K!phZrOaknU zEo0NBf?lj3OG6D`JV|s0!mG>i&dYHJXxTE|32()kS}*R}HQ2J<^}?Tr$nITJj#6OpcD?tBEkX zxq+Gp>h(f@F%y_{0tfADz}W2`BIH#E^3^Ncs2)7dkd-^Z-kIPL zA~$D)2Ju~%rk`}gmeRutHuteg_sgp{_eK5UI-3qo*h`HRbFbpP;{{!-=+8UB!I|JO zM)z!9C?3s7;{tE;6qmqxO~W&R*kHPXgJBtEp+ux zdUP&5e%*v~)aE7FpO1C&e+aFx13s&F`O&(!3hTJW9mC2FtJ=J0NG3n0{WzqnRCx~|L5ur_cqm$q6=UN|EI+cmNZcxLO}7W9F1}hXc((FE zm`ZfiP8*@)#wyTaYNaq$D>6^$jH%2{ZJkk z9Fob@_j&W604F+Q^O{fJ^xj8HnJ&+;ztr%aWDr>xXr8FtPiig{NKLcI|df-A+^L1RkUwGso~!PhgI_kh{0EVpDoZjpFEz`48hFIwJ?8JXrKk{ zgEb<20YxXQ&{#1ovW$j+4d&J^YY!MLWI%HR4gm8I3kr?@jh~$`7;0rh9#&Qp3PUFz zoh6Cz>1UX7rVxJH;^un=2At> z_}dH;qsz;IkKBSxbtD?CdQ{YpMSK#k>vo?J@pw(N1K#t@_GtXS#J$^(EM0adbow$j z#30`02?@f4zV0gZ_th8o%Ncq83B(_;Gb1W9DkC%U#HH$F@zNuW5e)Lc0FosvVYe9L zX-zjH#zU*|Shn!#Ru2!1gg`tZVcFfD2Y7>r5z?@JYwaDk%&b$V-4^Pv>r`d#z4m?Y zwf9=<_sbQW9O&A5g2TlD4~FZ$b6{Q~MQ86As-Vz<`?_5fN8C{n$WTZkI@2bJ@&Z1) z+Q{v|djd2^Eh)$CRHmCq@~R{is^Z6w`+`oCZJig|kSNJZkOBcOnjH0$M3LADUDDe&Y+6b;;h4_jpfrqioS#m|B}^?U;5a@T!b~ zBz711&KF2b`l5Rm!7qiqXNuzRgy0#L9Rv3zN$*H{d>0~vm!T9dhIl+nSzEQ5BC-X^~GEP6c=(Ul8|K6wMPwA$BTFt zB~Fq6{D&sST^OQ3pNqL8jg*$XcDa?xAexb(PEqmn4v~0qgnEZ}u~jM3q`Ix?!+;Hd z9)7xj%7JYMkXk7!6Q*~WRTZ@B@oj{&km4Kw=;#i@1GFzfMBcaTND@DlEn5SSHlbTc z0D!<4asz}<#w^#RvE1{90(jY>slJQI$PBGZA<|E1909|HK5|_~V{7-!-^%i3nko!l zKL5jyVbG*PF&bBsS?!kYXABc0ZNqC?2xEW3b0mss!gv^!K&$=O+GN)>b@uQ?O0$lx zUUanG0Y)!CmMD=dPl(u+&UWQH8W-*mKfHs-yN96(L#v>Lt1*|I*CGw+U9jn~CDQuu zj}Fw`lQ0kf;6v?jeUj&0Qr6$&S)5<<_Z)7mfoO^y704JHdvKB0kIHH52H-dA5C07! z5tTiHdmPncb?R}q+99FA2;zS&y*vA+7TGVh76Lo6qf20g;s=xuT?tdX=NsBP91j{M zWnTX9>1etUXq)-~=5+eeS4F$-Ne8VNTIi6&m2p?wT+7q!vjM3^gLp9N%&n?o^U#s7+u40+9m{sfl{tc0^n)o^f55n7)t7agZ=7?&Z%LL1dGRX ziaXpMsV)X*(R4*!lyt@+gvkIf^5C4K$-pVG#7S6|RhieleE}L~(Hs90(E4_y4&JP* zes%lvyz^MV_Bg>`oB9pIv{n^IEUbG5xwb_z=y%|ig|I~UEYmIlwNcUJZ%DfZZEUOL z#h!Tz%sbsJ!$H$F5AQE*NqFb5wgvmz+lPWKLFGsC`n*eX*@+WcK!!R{c{|$8X?Wp` zW2&qTSyE%ZO+_4J6EYJ_WYGi%QUFw3z+-K$mJ9x5pDT=QG@!qr)j~TU738Tnyqq!P zhb8uhCN;rYHz%5DmHkw#*sy!8x&hod#Yv8u8dJ^(IL8;XO8a|6I=ob90K8VNt%tuX zLA-%KCY?%~4T`PktfUSjC229XTxsSI_C&LxqJdih1d8^lD8xJJO5rGuMpe2Bh7cNF z01RQ)<~8CTZt(2M;NkOPk<&u}KIe>>+30^nw5y3C8ckhG+ZMk)!G<;3m?XG^&iamS z1GJ&hzO?GsYg+qauMqD(*V*=<1h%)dRql^lAp7i#fgo=xFg5~>8{&$6-z%|v_&x)I zPuVp`bJ37>!M%8-Wr&94FV!v^osp;c&vs2yNSox&=cXsauGf1M+C_iLKh46~viLKa80Y2Z|>hikqh2U$2|A zhp&RbUR6&}RH~Al8*bF?vaHZ_x2|C96jn!C_o<<5hk`-n7g@NNaI7BRk&)>UPC47+ z`MJE_4Z%DM0%{KM4|}YE(R^uS!wcE?O^)tOCv~`(hZ__viYoW}lT8bpQeB-v$t2Go zn0G9A*JDv*Z|Lfy9q~_^XUCc&ydU{lx9Rw|`|?0{XoUt7b1`?!3eUJd=u<&G8r-JOa*75+zZ}US-!a z2Z$fQV{?MM@N4!G{D?9y!4t`gnL{Z#65bZR33Ks2Fq9B+@?!2tisn|s2Fal3BqDSJ z0O|!VW{w$J017TM#@taC0=md^kz6W4$#iM z5@t?i)9!WL(jK*?fBAjDZs}f9H-_|$AEqPWF9GWHu_^XYLWDQYHqvd}?Wq4&(q6QgE0nTFKn>P*n+Oo6R zpr<3)n2s|bNOqbknGx#@z?D^jEro+^sQJ~Y?rO&3E_1qo*K|c{aA}8!8*S3}Yic+A z2M_@{P&?Dj`p|J8B%o2?qJaCjmg#EGTvE%569Vz~CC3@lu8(EZlpJsiTCQE8OTd#S zuiAue&kA#Ob20~N#bdGI7lK3a zNX@uhkiNdG@bFUua9q#>WUbxw2fA|Y>%KMeBV2gjx~SQ~@H{QuLiHfTB3T`}5C51J zIuLK^23FIs(@H8|F2*;-;8Mu$DxYfv{j*k#g;5U!E0We~d!Q4g!+;-quBOP%V5tk< z()xaF?`S_BMfcmHvZ?rIfU=!SPQYp9y$xP3nZq$Kd2P66moM~2oZ{w;&Y+3V?^iuU z*IS;Tm%1Wk$uzyt6=j|y&i$;yQNk0&PhVZ(P+uN)h5bnP8@ddDm2kcW4gikG)pSZm z=o$BIGfCF+rL)8y6?2m82n_wrhILsefFs9NTv;@z31!GBn-_od97?u!jNYDd_J{9yde2+ z!%yf4S6mFs_1diZzIdL^6yPO2iTohLx$%~i6WBWCEr@pB(O&#QAt9nc5FywcfN^_X zc|0vT;afVEUfU_+FhOTlLv=5opX*Cf^=g0h;>pg0UL8gtjLI-7Y1NvS(+Q5k^D*&3`yRd}&EymM4FyQt zU32Qu2)gU2P1&laX*>4nflb9PHe*%c=uy`jBCf{|pcJJW5&!`|wWmxG!KEU23P>;* z?a^CRR(4sP`rWpiD-Jsb2pY?2%C@kf*wba@ZHOm|nKXpVx6CzG_r+4-p>=o56VC4X zyq1ax+y*@6XcO_BBakljFosf$JFp0#nWvg&7C0H;&O)O@V>9blaTmI< z>&~VJ-{R7@biKiw*x+sdxy|jN|BlD<;`9(dCjl+D1wrDH_&}7rz!9e$#i2wDWp{a- zVX34I0urd&7q8Ln0!QKyUQxuizOHZ8cuWTpye4+uGMJh{K@hMt2~=gLN8<^kFLzG0 zKSBY+Yd`5up1tWjyLhaJ&w@L@qM>hAwS8Zyj*mY-;v1&m<-_775BoZXo@o%)iY4=x zO)CEecd-%mm~t4DpSZ6V(tJcpIF-`xg!1#TsOop`A;x>DGQd9fV}XuWd1qhfr5E!v zc)hQ|;a_TukwRxsmzVNKbQcYxfaHvTiI!B+TWOsezFzG0o^~~`{4cn2VJr{=zc{fR z2Iz`Q(?lwd=0nZQ4HJ>k6_M_&rWl>T6_2M^%CwIaV#{6@d{{eQh(FZ-UsBVt{lQ%_ z2#n9<{o97QX#s)4r@)90Z6Hw$GP%PbBR0_Kb>s)YJ=vnj?+>@2AcVg?E3ux*=TGxV z0L_{dm7RUVZ{N27#s=zjFv}GzbJ6v_J{HgR4F``?SzhAO$r#RZ(Yi;>d8=_+=spRr zH@FeraKc+B4B*HUMYC*?$tH0kAg(J&jVS2ExZzlR&KFa@c$P0V`Q)%)*I-4Kq7u#$ zPz{q=7Q8qgHU5xl@rmuibapOz3Qi#6w`Qjm8I<_w3D>{3m(u@j*8Rb(h zf1WEl>yv$b!ldGXmsyp92X&UscPH5dI)c`FF`ZRji1?OyE`QQAPf!}R)Q@mmk(?P% zF7#zI&lxN_C33cX&h8uD&^#XzV(~oRbl{{#4h&Z8G2%*ZQbzP9XH15S!x9xO)r_2{ z3-iDMAbHXu&#*jsy3Ut%EWJqs2Ykq6o-rA=5trYY%p#C?R`-^{-9w!%8?ue7RQ3ZM zX?CNZTyH^$KzGSFoo5?Ysywzjo9c8p$UF&dnK3eh4R4w$aA#!&jH{=2s|Xu0%vFgy z&*O~+$?MKeH7%*fyw<1}{RCSA=b}^hZy0=Dre5bLYxDBU#GECJrF40v51GCW9FJSL zG0zP_5uHVJ+&Z!IyzT81sJ#o2H6a>_zDq-k?s1GA)G=Am{XKncqNpfA25OK1KGAT} zwAmRPm;ccZD+1-Y1>7!RMbKE;72SGa1$1;!7^R57#Yks}TGK!tPJ-#Us42V;tpp%k z%sU5TE#uq`wTbS4hw3CiK~=jJZr%zYg{q~_5YEv`fnk+W2A=iTzWU}(RWed{vzMS; z9j8ur_6_MFT@8nxL(j%$1b=mcEbibOQFOzBQ+t6+S@*u6+gDTCUy|BDC-yTHhA1go zN(IeEd&e-xY%_*~$w~q4N^--J-r^!gd3S167SBaH=Jj398=d9dGbP?eu?-ery02#v6^M0aT#pXNwlF3h-#09erO>aHmcQn7Fp(G)vX<%Pp>!aWowIyf&@fpbQ)F#&sd zTUYfoH#{m*NQloQ{Phd$xO;_w$0<2(xowrQ^;M2tH!NDdKpPzK0OSJ)?+b8D$YR=< zm2#38OQ~N`JK4bsvkdeJG;vo9i6DHev~SWLsi33q*VcO5H$9*_YiIInp*9TTgMCps zna_Z#v>{rBYCCpUUiBS97FU&erhmYStpE{j=jhax1)eo=D&EvBfEVsng%Kh}!sYtX zEG()WaB;2shEZ}I^RF&ENFrz6FuInN72~fBy^d9h3Z!t6Zb5VVWbgatxWy5fE|bs) z80*4>F>mW0Pf&gcu4-1eV=E4Hv7~&fb;B;+HHy~us_bIf@v>|>ndwUge8HBT*o>y@Ffnwc z2h+nn8^z6p`@xIt%PtROkRV2ZOH3_V`37TIKg`m#-%e!|JzeG?(a)9zhKmjb9ARE|9pigTLGAc9kCyR1XCKloR zqtESm!@WxhScRms>%f=T%N0xfz*Nk)5(A&-d%U$(bq7>l8fw0z2bZRF;4MFi7yZH5 z%ulfKU@&NNG@~CSa2?2W*=DDL?gE!WDmTO2PScBhg2g)@hj>|$Yfbiq7)6RTJC&af z_-~b2#Aa13r+~jK`fQWT1}8GTkbO6aVqI!rC1$^xA&;V`8IQ*EuFO5^Yh&prwRF3j z@%ZcVl7{oSr^_}wSKtjTe&StnvTa=`cs}9$SL`IWb@@|;N6~u?F_!mp^?INn287)t%e#}*UciVV_KatAX>|T zh0>oRAX2#A?`Adq_+bDqTP zSq07o%36c1Payh88J?oz&GW(0a};VkVL1lp1&J=56!7t%iXC%8CQjtfM!_K{WZ(*X zwCP?YEWB66FC{Otvi#V+^FCvge7ijsxbDIlhmg%|Qf{nU%UlT`E0RI;ZH=#mXmub# z8l*<53tb8k3;S>@#a8u39mb*(gQarhRZ}<!1Bq!w)U< z@Bv)1C)$b-V@`|t2|qEVpz|^sFD!cOQg-Z{wvYg0wZhYa+#M0K05d)*@N30*#L`b| zpdNuy0-oByQit-+-j#xx0cs=wRE6;!{R<~j9rb*q?$dzmn$-vw>ylUNgmGlk)Q`Ys z%b79OW;hhagjz8p)U1f;jx>Y>8`^RgTPoWG!qMa=Qj4SJk)Uh+QP{B#9rm~6Jt>qxquX) z=5|%B2l)Uhiu^mOu@R5pNQ@N7BM{$rq`MPTaJ&nbO2|Q;OVac7On(G^et|u7CeynE zf|BkKH+5(}trVz*@sg!Y@=Qgu)h1q=Q9RlOkR9z3K7_luNcS!c9M3iNOq}-;*^L-r z(D~#5m}b8h_TfWFKd8vdW=#U0&jt=MLt269L?&Iuw>CI-niB#_>J58}qX>2m=-`x! z+vcioPVl_eLeJ`%3JIqxCd|F6%2kgg1H^}e;o}&t$`@o~HPPT9v=oq0-Mob04iREQ z2_Y#Y9Dc^(bmw&!$`Mszyqtn*J?Ltm)1v(n*bdZj^;RPbPZ|-qla2`hTh!DDVWD}k zsxS1Agc_=2uV@xN)BHPL>K*EF_&i5Ou6SgXw!(1*`m}%&ZVAr9;x&XAL`|l6Q5cIFP$Bz;is#Pq=~U!frDpJfXj4fx`0IX zxrTNFuCX|o@PX5*J;JClw_6x$uB<-KozypG1(PROxv`lyr!K%O@mS+gu6)BWbdF7X#E`vJi8sYaPt>x96FdE zXj{+us4iH!;8Ut>8_;~MYdj#nB-MkX4IN0l_~?oO99r7=bAXe91f%L(I;+d|vpGe+ zK^jWKDgtZdv=J1OO;1k2@XiMehbhCQor5+r+J_na7KD#fMTx+IfLgk!UV+($gZY++ zsy`XVG;`RKnV;@76(Aj@IE#fr5mG=RBi+1e>UsyQ<805E)O8e|lFm^+0*nN9h;}aD z%(gA9=@VWCVJR9SMa~3+hbJ+Dfu#uL1e~pB+b7+3Fp_%TD;ymlX}?DR^JG>V$sww& zyO%cU71OS+aBI~S-mllfre=zIq9w0Lm(inG*lg6<*7x^k!qdt8psN?{puntr#1&ed zXxNQMDaow?v}iN`)bh`{RG&M;Gg3nbz<}VTlSnF>1$8Ckg^h&f_F)a;kB-hQ#4*f; z1@kJx`{CH*IRGrFP%utT4$GTRXYqRt1fTC7_@z^q2G5@t;X7Nr2n;`13%7TwI26^S zn%62EW56;_B_>usuE$2cG#GaL{7Q;a=p^`s|Yn0~T;i?}0(dCXgpOn_#+t zKEupFq#Qo64r-z^5j5@8^I^>ShqlNI$HNxZ22oDC~L6p#8xj7i2>y-!^Nu(Z8V>ysc}6PS!O^ABT@=3$BlN^U(Mipck5XMAv&=f-tc$Z~5S_Y4 zbgV@ucd`FI@-B*Y5cwOuAUPd+BJlO-{d*=f(K!4WVyMaU$eL|#c#Wi49}Xctw9>0$ zBkw9O#W$Tm@_;(Hp<~_#zx#nt#C0uO8?LbOt| z_)>eZWYE)>NEmsW*T{gWdc8YUr%85x>Z?~ZK=I@MZ%Cb zVq722XiTjDU^z_bq8ZA5QnWiOddPpZV8IBKpMc!QgPN=H9N|#`bifJZ1oq>P)J6QW z<>!bHiDO|ZHkp8=l1xP-`QZnn?E5TO-0t(JklNO6-2E4>z>hC{%r$RWHIQhtE&g*0ShqMRrgT3%4kaAUS z4lsq&?E~t=v3|m<-tOsk41wI&d)zM?E-_2)GAg!K8z+BinPzhD@Q3^DGp*^}lf&OG zaz&H?zV=T3+^lq_NN1wGlXBtPMJBrR(kjLtmpl1sebo8z@lcrlex5T;DapE6^^{HN zZ2Z}f4PValc&>LB(Zz0E)wBar#s{5IzCcd@j`Nx{=lL^m9j|Iq6sV!^rvfJ3GbFM8 zi(fKc8n&DZP(y5G{vCgr{5Jhnu_g#Znm z(5M^G4X}#M1}!?Gk4HRX)^r95a)!85%yLP9tj#wGxD(*^#`-^GWR6;`@Rn0o2xX-V z_dRXTs&&LsyFhRQCFFNU_?zIUXi0%*w?4k3z}|>}*c0yXH(goW;(E;9SQ5tdCC4D) zTaKK>jeB3_Ro!h%8nVkRWRo3T*>vsjD!1x$`mEy0PTHzTJGdxKG{nF2l@CIE2aY`* zySKoBiY-v`p2#Rb=pyQuil!uAK9MIF@+?Z0!^@!?I1X+kP%9v;adGS#8PZC6rW|=$ zEHg9BGiiN~WzpkqvBK4jc}OpI_M$N%8) z!_=H6m&T-;CTF6r?0N%C*7k4$75XG+CfxJx^}M9n2^ImZe0AU}AA+n{o)N^cSG2c# z*Tt+6(Ljwo)rD5i;O^W^Mey<9Uz=TxDFjVt>ssZclL`m(g&z5cI1SuzrCw%qMj<;q`Zg25hKg3_r)1L@ z4Q-zz5)d9~bgtt48wglKPm(72u7{1}Sa(IyP4a7ehRgZ&09-0p!!=yYhfCMki#G3u zLnF4>;bflz4*|&BCV&pImoxGr+l;=n=Y64t4Glv|ewN4U7?mh~0@iN|Do}S1sM|q9 zux}87u&w)sacH|zTy~wdXdV%XcjR}Z!{A_w7hbsWhU_7RV(f3&BYLW;s=+DMek|b( z3V?pRTr&#=ec7P1HDMIC|Bb*jz%|g8k6AqR4POyRNfN`_FHW>hA((VCxiW##UiQGW zd`fL#^p1)lm1fCbE(^KYsc%i^O1@~qNAvn71&sq(iwxOeFc#mn z`u(q8fAi*0J6|A{9p^P|G0eXH)RX|u?c0$z6==<;j+dPfSCxm>qU(^y+_fFzO*N~l ze(P@e(dTnpXyLWNt?nymSX3iM00CBkc4lB^PggUavP_OFYL6w=#R5jls|xb}q6Gn{ z@HGVmuP%tKUO>x$VO`7&ysz8~EG7a*55;*!Fp-xPsd`dSZF&D~*}4ci??>AC7(TS9 z>|IS)`$|_KGga6Z8|;ouxx1>H1E5YBiEdTWF_s2SblzsX2UC+^oMul08zC7m)JVf~ z7!_#0(^vBNyeP@b)4VUNG<4!wAq*6W%Um#P2%b}mioxV{KL$oLp8dgaNPA%#Imua- zn*ssbykX8OyknR$ZGvN=fjbv!vQpvC^`3ggN@FKID}kNf=+=3hRT;nUYt}?@J57ve z8E=FeRGgc}8G;ihI}?1|0u)ChXw4=Tn+!SLoGpfY{S8eC;IAQFzr}IF&9h)vcF*Sx z_5*Pto=uwRKr-;LH;t~S4}I{+KHhtbctKlfOS-Z3H@^1f4Zi}4M?MYjhTTNy zHeT5y$~?bLPdEq>t^^R3LdpJktSh<;$tTvTM0m&sq2|092Xhql5~I<2Z;?=D9>c|HChXRZNHH)XjiW(4DBLoQW#rB?CAoFeZONs@)#o zz_}xQ8BOsB>#E0giO=nHNVl$Nr+qI;4G=Znq-o!EJPT5eQR3tSE=AXrhpyZl0GZ%T z{4Bx0pjK$%Aam6v_Nt@pDi=eUP5^c5#l+x5+4K$GTqG&g!H+%r7^5OEWx@}u#; zDYSnQU(hdnozrPX0!XXp%S&YG804WUT@u(`9HZ|@hRET#OKPTENM6VyHr&0~<+=D} zPe*nT4CA621YhX_!fR=9OhDr9C4u76apbo$3Cg&Zasw5Z4bQmQIPtY~00#v)d<$^U z>}t7n*?#zLONS0kcI8Zp9p)gji`%p=c;R{H2|6HeHgx)&;KCBokRA2c`LlPPj3H4hPh zXL#muD70QeS2D~NFE{vn>hZLDsA13MfGO`vk|HPF7tdEfh?uk+<(XwVO7XSdG{^E^ zOU=}Hv?1i3lUz=-DR!lkUM;OH@9*K{mMsTkl8i3@bkSAK@jTVIcg!oV#}*Hgswrt3 zjcqSV>Hi+)1V1Q0Q))IEl)R>{Bo!CnzUc}8tX@x7^?6N~RBF&#HTQ4;M60hP)*x4P z-hB8zyFXr9GLz2nKH7ag&rgjx<0M{+nMoTE@c44z6&Jv!?iu)pZS<3koe_4x?9|T2 zJeec`N#`1&D%52gIQo>cq^Z@eOJ?90hon6^AbOxCe%C&h%+BfrT=FnE`B9TLPSeek z#XoN?Qm~`5TAkRGKAlf2g?hxLMDUl{aV!}ep(1Mwq&=rmeuDmLcya)ZeFuX*A6j@f zwQ{^$3y$~~29%tBQ*^1z?;XCu{zt#T$q-8(f+xbK z#DNt!_dA*oKmNm_+?A^2Bn-Ib01z>Dg47BDjkW84{2e5)NyjFsoDcwGAoNOruzf~c=SRPBkVGK#^q7Kz*%>T^%C#L0 zPghis#)$y93C=Mee3@Qq{osxEe;JtjoX>El!5cfzv>jiu_*bEgZW%k9#P0evJF}7U zN-AWSeCEW_XC(78C;E(*Gk+Qd@~Q8B<^-S7?Ah1rM$ryPpCzuOrq3sC`5}Eknf#Ey zpzX4tQyOmORQu0Zo)4LyS-(Ph9-{`Z_6@fQc%fBtH3BSbNqUjAXw{b$zrxbL-4G*h z44kYI(n;CDnq)K5z2jwIzU9zYj`?C^YFk1F>9&1iZ;O*0OKBGBkZ`=rZE470bKS`j z(V~lX=P-f#ibHw$S1Q2|bP4`Y0^NiQKN0PGjUE!ydeT$iy& zSOxW#1Uckj^NP>Jvswfcjc;7hfO0rK(fNwwQ8;S2g8b58rY;sNo323K)t^E*2R+ zQD>JptmH<6bW)O2HcX-c_feLuJ(Qgj-Av%Uk@@hnVLYsbNP*j#i_OlbBw}eub->ut z&XLQzEOj1D;}zWV0S`3PKfY3!SyoO9nnRqhprMlt>PeMMmIEluWAA`lz1{YQ&Z<-n zU*MfKiJupjx)+PX2(5oz<0En13FpV>A|TuLTgg%EPIW# zm|cT*?Y2J7#N~Cr0q85VUk0(BY~dVUGsxbaNZ;u}$Ss|{=u=63Hkba5!RxJT0cmM~ z960J#<7HleWE+S@Ogy-N9q;*42|vLVLh5MQ>}jD#F{vi(@y4)3L*{6bo^R|9DPLQ$ zTjEO1JAC3n8{ypXEO)ZVJyc~qo|=|>9P1i=Gf7sTjHSkQil)OgE4ywy0~po?g!-7 zmOnf+<2CHo^yiMq#o*|hXH(5Mqj0sdmd{Gl;J>6xEqI&(J9Jng7Jquq&f>$LDF zK!kpJotiZuqfba1k7?Oyl5X*R{`zXgi0<5! zwBzz4!zbj^eNz6see(a%{Z(KE9@`}h=J|H(4NOi31|UN|9MAdz-WKR1%|*eiu5^&o zHJEOy;|ex;>0}+*tw=4yX)Ks*v^~XPA~{F?D8tUhIR`2#O{6CKvg^=^7&3$>U1k7Sq1&tVtoLfP9vNcU(u!12phU zSe?HV-(xPq)kOqSgcqA4zL4*IUw^<=j2~OPla5Xt5jOtG!w^Y{5lRe92eN5XN=#@}fE*>ZHw1a+G#%wGqq|&0q~WX$ zh;l|zzRayGFq6rp8;wVkDdo46FKli8#XKE^AM0xOn$giSm1mWisVS{9D0lUtsSB6_ zYrA;Ymq)<1*f$7<+SGlOV=mmvy`hkH_`?+CQgq3gt0zJx{o)PnpplQ#*r#@2?b1#N z00Jg#YTF(=9IUj^X}GI+IDI{vve{VR&!IJ}qz^^-NfZIZwCzIb1*YaP}B zwErO}WCDZZn~Wd}1yafq#9s%L%<_*+mafUZ>1qB|>Va0$rJ|8Wf67E_ql5u>sH>}f zy~yld%xuDI;t>sKo;7@-%D%}2coQZ|KWlMzo_*};L0OvM2AxS*_BoyXN3J?M@@Taw z^Int@PC761*epSVd(Th`qb!Xg^$}UY$7NN94)i0USl?kA$~9SLc!Y;G^FP{Ci@sh! zTakdA=6=p>;|B6}Qj7B;j!ix@XM})7PY%zUOsp)l@5_5^oF?8$La($9TM zPV%zY)E7H>(Ud_w7sgk>B3#XWsYw#L<(bSvQTvK=m&*%zFZD%qzBdfLuX{1RoO8Og zv-IUo9QdBy7ez*&AaWR&mungPJR<#}ny*_@=cBD>e)5sYGSn=w`<9o^c*)6(hd$pTIPQrqhH+WG6^zTgkr%qu6DH?+OT5l_T4 zeS(|$X#$72kiFRUK;9Q$C-auB_Nr_cAi7kfmC+aV7)%MYVBBePd$8QJ7FeA-)!3>n z6&%x_z&a7^oQGC9)9)PCL`YAlJEwbw!r<^9@G)^c-)hThN7-ouaavNM&7ZJT(RYW9 zI^y=NYu7sMI|o9CZzy4yTu6xUn@!Eh->o^hd;qo2>PkQ^no4(#(`}xd4ea`$dZDY* zqpEt;;_=>jta``%$xZn`sk89d%%D5Y@SCk)Lf}Qs-weO$Z$x2QH}zA_&nVU&6mRfz z0|zbbq&I11Lf0o>Wq16T2He;EdgJ&(40FDTfDSEE-U|dtfCiUzt(z>RTS8ILjcP;c z;vMa>H%Z8}q4~*}XgpFsCnDO;-j%TBp&mYoaBtboj^=3&VqIDlHy(g55rMB(s}eCA zs&WE1PUeDGrJYnhyraGP#&ap}ec3%DxRB%lX_i0ZI4Kt8xxu_y@IlnUbX+ZJM&{qb z2F7?ula>v^A)tzPf&jDz6G8Vh*FdsLC3|WX7Z_LH~`Q1U8{JDq)RG33Bs zPD8p2|iD3qmCUvDa=dwsTRa z2k#hlfX`L8Elw>%Y8KVD%xyR)?WSMjTPVNqD5a@VYyeI(ZR=U_OW8KdE{t%2+JW;} z@kFcT3EO^Ew#sf*1xHIklWdQD!!$tRxiI`aO=>@w{EIwWJgn{t#to7y(~FDglm66L zR|vfZlQOVI_;Sohl?6Y5)fM(v>aZH7jRX8lTU(H~9>HlqXD#)_B8&Z4Hk*iWavY$&pwsDN| zg>?3zG^^)4hYeFPOOtAv zW0Rkpiar3cC=DOTIEwz+Zku9PEk(}Lnd}0C2}-F}wQ5%aWfkNqh<+uFK|9p0;WL9E zCB_0IjT26t%dHo;$f2IaFe%42U*U1yO;in^Go{I>86;dn6rbrCUgSp$IfI51u!fP59xy6G@f}?Z zNW&nNX~$+-qa1i4+-qinMm;BH?Z5+Fz)bmY@95)Lt6x!^hVfj&pi4lrK|i?BL{EuW zv-4c<7LanZuv@LCkU|yC1r&L}Bqf(2UGP{rT74ywN^^Y^@RG zXHwn~`pjlJ4nmuL&~~S)ut<^GFfTnqW1L-yOVO^c5D4cD*fETp6iolj9L6Q<7Wrk@ z{qUWNc7fuV?l}tygRxFPaxX~Wka=2%Pjp?`Iq6(LVjGPAA-nx0j++*5s>RVdvIx4p zoZw_b%ZP&jTzh;nL)B@3#wWN*TR67@9MTSV$yswf!M6n+|XZAovHa4F#n)4Y^baF|%t8c=19`LU;8wIK*VC{&^Sa9$ zv`BbR>w0Ccs{$qn_-&iZF|fa6md!JFO851q?5So)paaqdUzPPNeQZx2GKT!R$tS#I z6b)-qemHL+yp%8Jy&tEF#7gYdb5GkBdTr6c>9i013j#D4Hv{DYxK#)AQ)R}Xe~p|D zD3gfg6+}@l8K=s}>j3}g18wCcw#Y@BFXyhl{^rdQy~d8@jWhU|PpQWa+e&tPjWfCL8EY%}zWu=oB_iQND@--a^^%eXAt3utk zlh2w8uQ4Q$R7Vo$Nl291!dZ4+Pdu(P1@|ZYT>>nZ8VY0{ypPaTW(p2x-#o2ZpwEbt z^i|mo6`Q~M9Luh2flILki0!6_f8^Er1G*>` zE+QcJ40mIy6*CegZL&}0nJk3ML6xU}73Ds`&59PJ`wpnUn_)$X2c9_3(_DGlf$R>CP+Q^Rnto$sdYU`~iq@ir zgO`h;EY#>3y8}~j842P@j#w$Y!OcZzP(m53D`WS6|CKjyFmuJxXY>Tx7o-N|4p_iD ziAEKcfFURWGbR(RQ$bGGF^wb1d3&s2fCB&+WtiLtEJRwO`DMoNR7hJDlx{d& zmDKoheVIdkC?Xw-*s47gK{k-eE#y)miFhEFKp}%Gz^*@%j(WL}_uwSY-r57t4**-9 za3eKkj^BK)*B?JPlvfImKcR(Oc=DFcZp7K2j%{HI)y^1z`zx^c+v3c!D(v<`Obb<3 z*#!WApI>Td^cKOvtG+8fWzd9*lUk9}`C@b62b>1hKpCj7HH~I0-DvJHt#O;Ln+<*U zES}A@kj;SB_W;VW3n>l*3$?y3+lw_3BvO8MP#Q9LL1S+gEd3~k!VUB(+fjw%o=!Uk zWnuOFrDD04<)t35VstuENosew)pXXi;J)CJ<!FQx= z>yON6aZOcw#klo!IG>!hU+wX-gc_)3Pj&lPrzg_zXy~Jlbhem09%%AWa@w$V_4@hr z!cO3YjzyJ--1t}1|;4_ zC^@drX&zEn`x@hp4$rE(B7JzXJ#XKOo$3!W8E;jLe*3YxB&eb#X1!W(w{&+tE3$uD z+i&qgWY=H}Get1pqyqA*er7sv+V6bj&6~q!t;tuNdi7AOJKMyj@k5owrZqf6Rl63_ z7W>A2V1zi}YppAduQmA;uaJDt1D0~x^?6}M8QqRIRlNd`2_`!S9kfMrghJ;Wg`KmvTv0eTM)TBY8frn!C3-be9WIM3~Q$nE)e z31yG{>)C^t3il?32Qg*$Q=Q#M_V9)5bR!6+rK8&a$d5RC$l25Qy!BOo>^Xl(#k;{I zf0&^5F7ju0p7rHdrev1`T`Hf(qo=Or4NP4L;@ENoQ21}d#ECpNK)k5=I-PtCqIJ*n zKtVj1HeIJyJNCBw!Ul^uuv^7H6i^Z+0=#H*Aay8=GtaZaF{k&6oZ(wPa>67Ds9(mM z{ws1)Z9OLpvnaCS2`kyqn&7P$QEP%Avi{ju^d)M2uP;i=+myaIK?5FWRK<>n)2eF+ zBA>m2nq5~2{v%Zwx~>iyz(U#|3xEpfw_V)zNSD|b@^qcA9QII#o_n&t*+Rc1?La*# zyzmwqTo6FN+lk(sR}Sr3Y-57{YLsNyIS;DuTEQFGD=}Qoiy4|-si1Aj{e*VWCxq}oZDttKRueZobLAl$s6Gb;_3}b%@lJzyPVB}N zQV;bG*~R!!9*YgD=;p#<_-d*hl53Gx7>?$1yo~H?mfhjOgZ2(wZ&tKh(#~uBYrn)` ze;7mR(Qj6?R7f{*1eTU=5QwJE3;iiC6f@LT&YsG9eo({>-Umc%&%6Tmz@cqF^4a@b zC;_#|+{9_B>1UMUNePDv-P=hMbW^QvTTJJ}%pl;|fTyoYEBI+FegS_axS7=**fI z(zi-#)>QP}70DhyI8G!BjU2cpP@fBRHyM$GT4%iQhcA4rOs1(7f##uZOUl6xGUd5e z-NU>iotMl7fz0>-j7i5I-rv&Y>OLNhnq9lV* zURX4Jt#wV!R!j|2oH|4)uD2q8UR#+Kj^<24k(gHn=_FFPZ)WeRQGlevn|D*aup*@G zmsSLwzhgDcwTP)$8a&J~AoBeu+v7Of0iOuUGRnCm)Y$Yt}vLlARa0+ znZRRp#)o9R*>tKcTE0XS>XqH7XWKBm14vMyD`8}7sEx<|z@mq_nj-hKLuDA;43#qv zrIi1#ePuWgSWjq9d=`*id}}{JJE}V%E!4QQIfDIX(VjvRvZypFs+o1{o2i|z{M2;{ zr;D^t5z{{{UJhBy{ahxgp9api=(^YWuGQ6hkQ8CpUpUag{_UqBr3@)$YJonofE#N~ zC(^tw?8ffX#{DfjcDm39njDUs=i*#yrrqVhcAZfMQW;1!`ZvF-J-RQj#UgHpSs?Wz zPirF_7t#56veq23Gv7Xh`;p4hBE}mx2q7+&Cnp1Rygr)a6>1}l1D;a42 zB(%z%!Xshra5%Z$_B(C^NZYBU>tg3jMgOZ`{Y6=mjSrZAm)bX}3odqJ503AAPaBcP z7=0ZXAy(j!&%abVX8D=5G(^XDk$n?-x6a%HjXunn*9(>{NkvegNqb$xD)9E2FVa~D41n+BWQ=brv+k%9ce`qE?of07~Wpm z0BBAElY};5fKSxTls$*vUOu^Ip^&p~*b`SB)UIqVR4eMX^B##8l*{KrP-^7eMV~Qk zC`{pa1G{N%?J%WJm-UDkT9$I@lI=A|Y2~+{{y81;EmVm~-!RYdQ(5g9(dQZPyQoRz z--VxPUgeeAKm$Xy!{jbLt6<_NzHVdJt(Ws-(Hqm0FL!_Xm)~r#blNMLI#ez<+Pm{V zvmX(oOBZntE9OS0cj;N9vw>%@u^(z+e4WpYbU9_0t7Rzyl^8qZmw)-qo5#AsDf8AY z+m<$K{>d2QP>h_XqS&=IUOMWd1KwB%m+iK*!sx9R+JF4J(5T0V4&iPAqnX&LHF`IW z1w_fV8XXh+V!JvG$hK^+Vv!N7q@boE@wz4P8F1ay6>Bvy)CLElda$_w#2%A#B)f)E?SMW z8g3`Xe*_u7i6gdxF{Uu|vIjtib7G;_K+O2ya`FY@v<3k{T?SEO&1x5n#-#GY1Y-JT zB>|I==JT62G{dPh?F0i!H68i1#oIR}b@>5k!hK_-`{0adFVYTiha4 zCdZWEK2^*K+IM0AYKkX_$oMu2or8`75JD(hm?Z&+jh^5}yXF>$WOdC{(l}NW-;j91 zJ=Ba?1W+K(;^9W7vz+y=P-@%z6X#`7XqDDbi@YeCx@9qd*)w7&iM=a|BW4Q($Y?ve zat}9woVyLcfPB5C^gN-cG=4bd?xTD7zTl;K^R%tGaGJ&iZ5i9L1N|zxA9!()#PNa= z#+t9|jI+X$ecG=%21CKMlXi6WKWI2p3@{p9K0K&!2zPZM{=NJIYh(?#S32Q2OX7Ii z<%jaLThe0K*a|CrTi_`KiBcyW6M>$X;gztu=}Y$P8os3sXLsr#;@B2_UfacbTO%FF zV*N24=jZAGdEM#0d6c;dWS4AAhK>TQ@fP57Wm8QjhR+r;gp7sBTYu)^#h^I)`PxY^ zxmIew5-*UdUSW8Xx530uiEGq=9(q&TN)BKem7+bs=a~{?Ja_{%kK(-gjor%$;o5Mr znL<^zq%yB7WMsfhtoy-6hTD`m0BAT%8}k!nTJ|>^VSg@o<#*-%y*ivA1Z%(_GkLVg zzR6tIbQBJ_{=lH8IbGft;z~nP89D;`_yJgr_qc3>f|gq^P#6Bp*-cY{W%d~9n5NXW zdj-;Ke%C6Do4)n8zy9V;d1$+`>*ci{PE(qO5&H{!Q38dkD#e&m96;{FyEb2lfX-O3 z{%6T}!`y0|t!|9f?p8>Pu{qE!!+h#Img2=@NQb|)D`p0vGYbm1vtE}^B(^~a#^~we z$S0#1nCLq&qm6P7!g4~|fNF3Ah5%|eXo%K|ZWgq28V*YNb3$NAcSt%I3p~eg7eD^pwW&H$T+x>-c5jPwj5RW5( zq`i58>%n?#ulc~Kw`Hx7{@4mpbgv%m?OLs^qT17!?Kq9h2je)yu=9Xz{^N3k(9HMy z`p^N&ayEgCJC_3^KD!Za8roUP!^K(TXQbk^v}D(GAIFx}43*S>Yj8S6_gBV~zdCsk zti{dUmle;w!q!BGz%-nI)(ziJXOa?|+4XhFu!+Oi|8JJYf!)`6Q9118jh7>kZ?RXm z1r2~og-em@=@LN)FP(C#B6)9q}f9=TFBb}7+Lz!TO0Px_W7FtzYBh~Izsdkvx%oI0q2O~=0fSvC=m zw-B6taI#`;@?u@{2RMzkH5)|vy&i9-qm;Z+DCqE`>8v!UH9s!rMc>iLnC!uM zcA#rqtHG*ZJ*1T`UF0XNo&jJ;IW9U$!PK%}hy#ac$*WqBDbI^Xc4Y(b^l+{CP4nRg zbZ%7rd2aQtS8yN9ujQ@Orauf3x09SY0Zo*qZ?E>-=-<1{57!VH@jB0kTjE(b3kc!rM4Un-C_ZgqPLXNosR5Xd^WnBBca_D?^XL3lQbM+3n|s<0QNq`{)V|-wfiCS{fFOa`r~42OlRX> z(>;)HIzR?4aGte7YzvmydT$?TS2^#aYb!SWxm(A_?9fY7IUwVO`y3k(8up=H>_)U= zL6r;lw7OYlCpCUWJM&w4GXihX#jZM5^|4j@EC49}fg6;~b~GqqXLGAB4-NcN7O7kH zG%a+I3n$xgTu9T5xdM$m^T_4Yv&)=|E*mZFaEls*;3atveDrx{(#vbSHStruE_{{` z2CHpRwfeQ-ULiR7H0&wE`CUJjB47ZpSqSRXPEo&;YP_hzeg6Qv@;fGv({pl`vqabd zs5^Gcth9GL7VK&+E0aV3`Izqi$Er|_Ms_SULd0wW6-;JP!9kalwuLT2t$2sm%Ywrq zNr|lCM4!V2igccQDUDHq=t$feIqkOZm=8+Jt9SHk)37~dUJp?6Q5M!8VJq&&O2`9r z2YY`jIPUX&4>f295q4MLRQplqi^ejOx1mdAjfEIzr&V87dA(_=uoy9+QFtLV_b%jShXEB>)_7gZG1F3C zpetWdoH0N8cfK#NtntjkiVtCT1$arjgWG&Q6axl27ykFt{`BIpv~XD(gAokF=H5-s zo5oIgr^90zLPP;}%9NLRL2#|8Xj#-?jpY^$I3=L+TOp=i{3HFl^e!0;r42CThSt&P zon9;MtRDx1aBwGWihL%Dg=;3}Y)YS?J@U#klo2KZ%m2JdyVV(PEFc>|&y9bf2R8+C+~Rg+DK zFOB8FSD$w2)N$#5spUJyk|(_q(EsrP zDqOUn!7PtOIez0iY((OQ_yAN6sHy6?toRcTNdi12;K1QZ3?I&2t0rHFL4H?*-_m?+ ze31A89pOKp`pLEaQ4^*nQ zXMXX`FQL^I@I$v@-ta@sudL&^g&vruJ3HRW?V+kkebs)mDB*<$q+Ba&#VsgMfi1`upFWoNY5Flu~x81SAwGj z2lAs`mXmDErN$0w!1a&g$PHrJ(Kfhm@A0-myBz{-WMi6Cas@6IyF%o?;8O>g?+1xX z``y0Q`qR$YZ-5cSFewkkQ;C$R8;5S>r&g>9rCBHkDNX9N;@0qOsM^yaiT%V4BkY^3 z$rkGdGng$dZNFYa#nX2|nvC0`p&0;gC;B*!vkZs21*#vqdeGJ}Z3p{@uT+jmf;ftk zfD{|rc&nn@0%*EWM?8kZY}0^1sU2c&VFv>hW#qew=O@^UX{5UoTO9GMit9pyI~&w) z8_+p;TXy0g&HOmcEX|7i#4!f^rUMFAIFZfD8_Yf&-WLZ64H8X$+TcmE&6%zGzJ4$5 z*sl>ZcAz68%90?8!W8>9&A0jq2K&7dCk!@OHQ3$Ze+76V=C`J?>}n@UGLLf8i4o#* zyTJv2>{?vQX*72wjpq895(jA#d9mdoVtZB7{L(V<-ed?LiVWumf z6X3BJksiz?FudNyp-n?9dt#` z*hPJF+@5Rz7mgFSsd);*6pNjc&P4iO97Wc@`0CF?24hGtCJ{^*U;~7ov#pmQ`$rJr zf;9wC+klwlpgYf+L^WNI#-1@3gWG9oD3GVodKW}vP8p2yf=luwaQ0Hjy{;df8i8Qg zvb<=N7cJtvg%Xt-dZ8E*=F^%C1kII&C8My^ki*b+c&ZKlXZSH$;UFusMtBX!gjEja z81WLhAWV8qghk^hjKknZhCjv5`K>8_O}!ZD^-NUi41QU(oZxtUC=6fb$NMcFWd;+( z*-P03yLJR+z(e>j;Xw70jItuD`--0ZLlC}beA@AHGVgg=G_Byh4|dYQf5C7Kb=Y50Wq&RfNpQAak>NA zQy5rIGE6aEI7=;$EW|4M zEeEmHLDwU6Q!uvZ^dqJar(PEo919P6Bw|0My>e{s1`%-9Km7VMz;eNbGQ?Y6-F9MM z({T6~*KZ=sj2+`sur~y6?YIplspkvTkq|Xe1p_M%3>V0h%44mLxZap3e(Kcn86Ou6 z`{1R1l4wcsC@IvEV(pNlpyB~wtZDUlT&z}>!5b`@3X3d|FtD)f`u4SA3%5W}$XXF8 z$tWc@lqHupPmbERZ)!Zllp2FW8IfM*dG1uCPYR3`8}1bP^HPUNK>XznOQ)hp>lz4E z!ixYgGKm09K(fCs^_efU^(-$PvgkC?veM-V_QFucDfpyP z@qrsed1k`8S9|PA)v^@KvMkRV>wW+nK`!%`-0m$N51I9U=>L>%s{A-``WX7c;Vvh#WNINNr$ zwh{HNv?d`Ef>DB*_%uyKMe7B`W^mGwc`C0kPbJe6v$!aUjks_S=Kv9ouUs$UL`mp# zL&_@@$`LF|;GtY52c>-zulhTI{{hy{JkV&sq1l6vNC1WUb)_thRT9Q@=CUjd3e>rb zf${;Kb=!A6T{WOZt}Tf}WEmSK@E#>pf9Ohc(4gE@Fs-Ck04!7+;a|{)B$sU@AUF5y} z;X5Dx=uf`=``2q_Hs|~GqKgpA4jYff<~;bTuHmnWrGBMWG#D*)#9Cabo|&N8)GE^x z@LBD8bts2^9)kh~FMPu!OQQ}X@ItY1r>)s6(W0W~U6-22O{#Gr*om{{K^uqVIbiVJ zu%QW?!UHX#0(%!)NgG6Pmn4?&L=GGkPmJSvJP-1V!aEvyQmP#wlpJvJ;XB$ax-W|E ze7uR`ZFXPo#O$?4D7U<2()Tf75j+5079jMYt%2Q;=I@S_F7Yf7ZZ`-7vy18pohOf) z^ko`Z30zBIm8K2m!w4UPVchO-Y#-H|==U>Ukq5)^f zvIi*vUVE1v^=p4+uq^E1l+7?Q_oVgjZ=ojCP0Jy>mh0WQI6{HQw%*xvo~^+hMjs}b zOIHEqBrCuo&H*9@P>E?&3O;MNH}BzG-0qK_j^UP8Sw z`;5sIaW2>7ilIv-mK)<^9cVXXS=0|{qKpf4seTCx^ei_)les{I?}C-GGO87S7iF%_ zBBceEo6^TAU4=ax?892`Q*z7XFQW+EfEVl_W_LZy&FJII>7MG#?ZVelkRn$|xgx$k zSe}b9b-8w=ncz9{9%qkuvpD>9{37)h`kC{BkJN#9|)CCc0mpY7$ z>tWns&v~ySC!|*Val{s401%7((DE?SAeeMz+a84D^T^jlZ4WT=%hgSGsg7O1}vuVd0qrQT0RDqX?-gMxRm`~#!s4L(~jwJzR2WD zh491YU4U9hGYH-)ri%P|7{O2<&@K?T3@T#z7+$(gc+{VC@FH~4WC%C|dlC#wKeT)d zFBAS=t`}8|H-|9RE(kK5R1!v+?ihIBptE#6=>q;LN6ix_H|lovvW8V6jdEXpLiETkwWX z-aGJyLt414-#rd%#nF+>3`>_kft!gOdDr5Qe5V1n!Kwnd(I_5>rS=Ujd=bFlU?eer zAsCaUq(_Hg$Ty)(uC=%iiu}Zxhg9mT+l7MYUbf!xGZ#y`g~bsqzHV^VI(C91vXtjrKG?yj%f@AaH$BIRq%1U;p^|v zTa4rYV{QQ_ThKuxKsCyAL7w1sT1lb{3WtIWRqlnN+GC?ObO+|1qWb4`&W($taa&$) zH&h8P@j-GEOHm9vYW?ptt&N>kjEaN3pZ_|RhZDzrzy}RXEm#3`M}YqkX(Tqh@muSF zQ|-W>H-Gw1{>h*Hz3=|)Kl%;&&uKpVeTem& z4An?3;^1uRyK?+nkB!A)#r=^%tr6MJ1}uE|=Rf$hpZ)&t{`2pC@6Z1BZ~pXqzx!vu z_P74*4}OckS#N*zH|vKF-?#Ta`8(Bz@BR4Kd;5L)<6l2)@(Mv zU2uN(JOAZRfB3_pc>1K>e)#U;^x^mVNx8XpZ~f!~Pj$O3Z3$-mhD|rOpZ?t+(tm&c z?Qj42@B9%Z`P1M3yMOw_@Bj1<{=rYb|2xk9$G>jl|ECYXUB8F0(}&+b*w0(E+1`Kn z?ZfKBe?JSq6>^799f~9A(+%d|&wleC|MYMD)}Q|H+duo>f9^bQKYV}llfQGYPe1wx z_Ub49iFk1z`{!ratLLJvC-mSGJVM_}#gS{PS=B_Ry%Op);wZ z?>$o!r3AVo02vF}djwGJ4eFY*@fKJDjhb0I`UbBUkFp&F8fGPtogu-~eae6$(}GAS7s6;Oi$b8H z<;re)P(kqB6Y*rg6Y6t~6!W>piZO^TS~TA@pUVBJD&S|aY3Tm3ln$(QT%9Typua%i zV9!k{Y1M7YliJUl;ZJ0H&VV>{xL$pxomQ}6(-%S~R5$1}?7=jhvJ6Z`=9qITUw+g3DZsU;u21K3kj5}&n`5`twzxSUIkc~vpfF$wj*!KAo! z+MwV{gE+RgQ71-Y9s<`%)uH)2G-Np<*?B{P%MB5j8-=*%j+SBl_~AQO$2^#oFsXZZ zrS6OB0y5~JpyT$dRjZ+aZWu%Q_QH4%tKsS>tl@wtu;4U#p8-ABBZ&4&x6rY3)-BrC_HJ?*>qSrdZV-Z5FedPvy_%esra~HCpqw zQZ$M``t=|PIc^Pno@7a&%Nv^UB|Ibq`y5K zE{!`vB#zuqm&PKaZGnxwme!QhMQ8D*o4qjP97S}=6_-~qUk6y`PF>lEViigwk3Y( za)|-lcI;E+3CfN>_%ayn_u9W7KLj~gL8 z2&LED$>x~wLYq(c*$ADlyLj2M4vrCO>_0zt7-%9 zaLeaHd{-AT?Y<bED7)91$1fIU415*fI1@1)j;}?i9ap+9xk) z6*1ood|#L44UMYon9s{-vYN0tO?UR;JdTzpO^=v9^$0GogB=8EASK0?ALx>Vc%JQi zB}z*?9wzbF7zATyx-cV1-@ev|vFoQ&SYr91E(|8jb;BU1+%hce$aN;mbx>l`c@xd& zpW{k`pL}S~jzEM2tZTh-cmW*Oxct=e_0HiZ!*Ny(TGZG^|Kg^kD@S$P6(&wT`=7&U+)&da{J?%lT4Mh`GNBB(-GP} zKLewf)X{!~;bK!C6e>}dFj&hrrFuq$m$vdO%mQ7E2dXn&Of;PmPndaB%5<`0Nlixo zk`7exB)qsHt~5CgBfx5MT>{tCB{|zlV9%T{gn05tHq4IYQj1(_p**B|;7c>Uncid% zF`A>9{n12nGM#r}5-pG8M0UkNI--2eb}n~X%cZTCsOsZ z&<*EO#+W9LOH60bxk7^q!~B$pUJ!k!QcO6Q?@Fv`;9Ur69no`VabaHMCkt^yM4InO zJY+a!qL=6{X0|_r;ROZCT-I5bTqY64eA$`?#0}jzp|?*w>^)O)Ll`APjUDS_ui0}L zl^o7$#i7M>P=f&45@f>$xE#+51;>GN-ZYJ9CA#t`BVSmf;-k}e35ZT4P2VcI*H2Z; zAjwEC^v174Ek*IEP3ljFxQ>7--E@doU>Sr$eUnaSV>3}5yz41M`d z3r(GZRF&dbtZ8JT$mQtAu|=7)=_y&I9#jJ-N7_J1{hy|Qjb-9aO=+T-ru$fd|M+XL z{}j8$)6bc=JoWE9@{MuLjT0jeDo zD`2(&h=3htOd2Tu&7?8Kfy+)~V_eI$pt=D_XZ!!L_ck%IBw4!9?Vg?)a6N%QV#5Nt zZ)x2|G8pDf&~%_R;*cAcz8s3hDUgm|76}sfdmXxl=*H5eZ%>HRs1Ykv+NtD*u$wQdO003ASFKKXuzRnUgHsBeKf~eE#trT4|Mtr^}T@y+gbnG;t zt$IO14Bni$ATgX_keem<68TadnPuuIZJy|TtcNI*7dTOpWHF7&OTFZ^=`&N#ZYGHv zTk6LK>1~~so?xX-gIMO2y)gJBW%QS6lD=y;sD5 z2#0Xyc}?H*r6yApV8>9`Oy4O!M=&{zxIIldGo$4B@y$N`2R|88e+aVmC^9RhA$%qG zxwERDs>^TM!!E~u&}#2@9YkC4ndE)0PV}q2(^$kj&@-Lil@FH8H9q9PYYyQ2mYH|d zp7}er)!D&0a4gqqtudZ4;%#m13&uX_XiYghy(z08}(ag<)7?0PTn)lXs)Hl^U+@80IZq0( zv0;GO*F-nvbQ{#hiO}rT@NR#zRp!?V8!W^6Tttrvd_oZp-7Qw%Yz!+wx^sXw0dS7<5cNt=4?M=dSk5w`&1V=y`iWq|UY7s7>i87|r%- zR};K9$43X*O`wMF)niG7_%&7y)tTNt^oLG8J1132Izcbvg$+cYJqQ8;tif_6nNB6x z>r1FGEnTo$yTGBEx7=e2?l3qOu}ZcIG7GIh;!`pA^ekDrU+-vbpHTRG z20Ok{OxyMVD`W9qE7-Qe@B?x&*~7f6&?xXYODPYBIfLSupF{=Bssd| zJnPIGg3Yf@ri+9TnU}{6%&F#~C_b-A^;|w+q26LH8PG;j2!p(MA0T-nIoE_n8yxhNH}2p&0? z>Y=IYolRp=9Z$p_9{2)LZ|I){mXR^(?fGidLm}ZasG=H+eOY0Hu+Kd&)F44!N%483 zlh9tEOCMFaht)xzRQ(#3?(wmN-nu^$sQ#dj`*kC@Dx4(K7YR^#W?};Ng(1{OW*J}{ zkJZ&{thuvf6TlQG>{KQNMSU*p9Y#s9?qq3l^Ewvai<4IZ-yW#)K`CpWR4bsz%~2!d zW2QZW2cy&jBn16DiYP!P@SA*nqcg4I+XvA&7!Qa&=+-p0YE^b>Dzhstq++iZ)LsP6 zH{DnjB^E`A0qkl*FG70Rt(G0ppM9RhgVT*->Vi`DVJFTiQFw5mHp%dk_6Q=?~Evr{+ zAZu90yur4&sClsVYQ2~JjQ*=yqtH{ge*285g{#=M7$SYZ@uIL75*nDXS`MuUNcP5I7de zb+9L<|KX^$;08P7rv~t8MOSM_Q+08sUEb`WE!GROpt5J8d~Icm$#>jScFa}$ey2{S zv%X9rawJZKbKT#4uhlJSdkRh+DE3F5&Lurl6^skX{!*V|WbAkPpk8Av+-)#|XNll+ z#?H{BnvdzAa~Kt8i>#I8-(Vc|1O1hs3b4o<1E|zT24Wv++jBE3xEm;K>+PWg=xACT zagqZeP8`Mo?)1jM$gtL~`)*Tqttjj#rmAXe{)l62zr#fTr5$6-J@Hs~wjeE+8>Y{K z=EeM0lGs)B3){rOSZmC}nM%MOj3%I;-91T?xnpr?n++4ZK;+VyAV}!ZXo(o05jzR_^^y>QppO zg~l+GY@dW(a9SG{THeS-IQ^z=N?~g#O3a<6NRT0Bf8G&k_?h9$+Q0hLuO(cMi5VHJ zZ$EK6X&oq0%~l=xj9*GO2bz5LPBl$Be=#{Up|$h6-ZP>EGGDL3j-rA^M#H+5q+Yx} z&;f!^%u`YxTl2(dsD=!{&{Pw!j|rAq`=@C8NZ00^Pw{!zGonYEmLD+r)R=DXmGZ?dFvB}{&?4)`gew|yy9uP z^r&sNWiEFcL`D=&Is2l^cl`-F0x{-wJO`1sSA9$0IcU_{3M%vcz}AE)JVMl`2gbT& zn%}&~cGvZ*f`JH}x)twOo-~Bx8XFU~Bh3A#a}EXZBXKw#1?L?dF?9JH8fdznvlm3d zqpbv2v8LGSJnE`4tr4k_Xy?2w%y%!}VzVd@e6-q~p^^7QvdGVjB`HQB%b4L+x8RH4 zyTyoiWo0PxIaseZKLkaF<6|dh`om68zxu!4N1Nt>jmdWPFH->LlZ>To|rdr#f&*N_JtF^ zFomUnQdkd{2LVjTR<;-ejv@Iw|Y;1^vw`9*gRH)LBj$F468}I-E^$qp&f_*Mud5rC!!f!@L9g0`?%EPi|D% z3m8Q!fh>7BZQ&MuW(3?eCAQ&5rDX30O`RUkv0z02|4E(WN&l zHZ`NRcI9ftXcMW(r&4TG+xinV&$L&HU0qxa>2?L2P-ujml+;GLEe)-`sFig)9hq$j zga@xX>#j5GV5kgJbS?Ylxnr$;QB`LF-*~_#K5OZ^nm1OXxs5HT-D#nLMgJtXpA9E_ zTP%C&`D4wzW{_GTp3rYi8r^Ltm6*vuakh`^wo{wU>pY>;>{zio(*tJ3>+xaEOmnk3 z^no4g;LN99QLn}x-ew4nn|Q1wnV2eDWJKzbEx9_Jh&si$jb&|m?p>N(!Q{uxm2IJG zYTuj_7V4(V=Y7R_oKEK9k+3O*j&1j6-P_%mv|wJ(evhrBW6<)2J@t{7WH?O=Q+e=% zS@f3M+*s>xdxl%8hAGj?Gjlm|`(qA;avhMzLU z@qn`=nCP)1z8J$B$pz`$W!(OuUtdtp|EA#wRiG)jlK270TP|3H#X>in6VZ#9ySSs} z&Epd%iVmy(S|_*gGdkZ$IU+65eM2(Ip&;>ei08mlBBLWvN^ct}3gt*(hl{?dH$^Yr zO`0Mh2Q|G59|Gwdr2|lt%0U-?n{0gGMJ*X5vcUC+4!0tg8OyPc?=bhS5%%L+9y6W3cI| zk{@?!J~)?CqUoH7|E~jirLja0Eus8bf5UiY*pGH+7d+ezB9EgLV!8asp-7YFH@|?| zymz*H=iq$poF0i{v3|q^>=nfHv3w|KuZC-mauOHSf~ypc9Ve+Z`0~1B2InhH#)lFV#9cg{cN!7 zGoi$w)V6v3WVOsByVh&09%gb%<=4=e+6=8pxJuc?u;h7I|0{K(=9w`@}1^u$k8lAh^&yi7!b(!MRy=m%UuA8D~Q z0>pk*7&bn08S(t$^^7$h65ElzY!n2cpY>p_wrti(saA^+$Pb`*$!%QS`ISOe#U z#zN=9Z3>))i?tO7m$I&9(i__nCyfE#9$S!3*%H%j==i{U@jVY){TOw-EKVEYc&E0E zFfXsxNf6IC9#~s_^G085i0^cXc$bb_4?Q}0Qmcx?Ja#;JZ!LEB!fhs7gVc&6=8khY zW%;FCVEvCj7Tb?77}^3fj)Vr`s3WvN1JwgHx3^NcZNQ#HtYFPaA@{2X^hA$*_e=goL#DL9VM*7JP$VSYG?)z z4ftaN-n=x?4rD(n56c!_uLF@0Z#44v<=f+cGpTF17jBsv*?|AAh_1CdPv%39AmEo+ zs&Mm2b(Ngj4J;@6l+L^MdM$1Ra(!|&c<<7!v9u(U-4l9TjF@2E75=RsjR*7*%FkAkSv(dnQ0TQIH*mS4i9{Sz z+8Y|{fFP2kC<*HgvATBscFP+;g0t8y?2)Fo%fqQDo|XO7eB=$9lOKFvXKHqn5B%!l zD>SB@wp2?5^gXfCTsNR~#i-r9J{;;bA8mWaF&u&rJGZVMMywx37E=hzoe|TgyxzKv zC3^^m_R|l3=0KN#8K9Bc2ntaUhx;t}LzvB`<%2~A9eCRXHVWhiD8fO^>e&Y`c3dA{ zq0b$eL#pNlK(p-yGLz}cm_(I{CwF`xJmyS;_gLHUePr0c5ChN&UD63%>+f-c8L*Wl zqnvCs1Nu9!V_N0{d1?hatuWRO9|6rzYO8p&DZkn4ax)~B#||m42t`wF3WC)UuPuS; zl{jFcA8;%3EpfVj`L>hzkfMjegOWrjL@6iZK^Aa(z=#6}T1%7n5+1yfVlfm98kDXR z1tkA71}fqB!ES|9+Z19MIl(5{o1DUyrh_Er5xdHzNNf@~hlgS`ZSe&o4O7{UJedaZ`j_l5 z>zd_Yv}gFw^JT1wBVowC5PbOsodcv$OwPvAtWV5QiFibR^R;M>IR9V%{3st3@D(vdmQP%>aipT7Q$ zI`h^W8!PW>rKE?3sg+Y`Fl>e+SpV`*CPF{?Q6$CijFLNtD9CENv)^x3^`y>sc2zgcPTB9r3U@f{wNE7uY<&f| zqIWtoGxHfN=R-e?)Q{ZGgnBemZ&bHC_DnWlZP3tAm0-hm{iP%!f(kpS8)?Iun4>S> z(lPMm&$ssbeOZaca>rD@s-)TUC7q6Sy*p?b;?z3tpCr9m*Yqu)4?fdPB#bhx&bgew zU&|%jIad-W7n%V-@d;xfCzcR4tpzV5SC5wAyVM3``LUnr)1>>o}oJjRJ`^fQMt_V}9oX6AiJL zR`m51L=a6Yrk9Ejf=_gYjtB9B*}=B-6-i{G_=W@`*_>wsPPo?iAt%%y2NI#?S?teA zU~P^J8|oh@Dg^2*&Q68%Q*>|kLX!yNI|r5k!vnn;zlQplHXb9Q@69-tjiVR^jRx;R z(kEmv`!}R1(o2c?Dj7?_t-XZ_rBN8EfE&3V2vPKJuNosq@nqFt51I@1Kt-o++84{| zj52eh1R?^>2w6PR;;Oe|ME#xL;Z5cK++ zPG3wq*fB1tNhQ^q&OXSvkxj7@q__hS%8Akni4ak&>LYKrw3nDAXZT?Oo;SSYGk0j+|2C^Gy%!_s{NoM?*PWPY9GF3KX z-rZNmF#h=~b8&xZQ9}F~Q{$|;uq4wDP5H?$#`v>{W=IrUW(iyKC1Cl%*xuD2X1vpx zGCXPYb>8t>jvfo<`zs^6DSH|N@u5F{J`XXEb?xYHI=ETCser7Yf(qB5FEcHSghP5l z|Ml(*=&KMKf4Z>eHPU)A9{TDH!vEB76H{vf665e@@Z^&Tc7*~G_-;6lt<8p-lkjCm zB(x5Z08H$pKr7DzYty0Htw2VJ$EC`f`7X8Hd7Nw<-UwWk9tIMn8BZc>O^7V>C|$*N zqLQEnO9Cp`3Gp&Q7PZWC62ZfT5du7f3P}_vlaN|J8Y)0bfE7o(Dz7UY&8dTnqa^j1 zvtbcYdy8>TCIVC#7l+d@+&9@4=m6-@4|KxDWk4;*Q}GF0yrT&6Fh-kF#|+rkG!EB< z)ZS!XXZwK;#SK$G^X8$r@on~9BAFxK4SueM4~zRbi-(U>(EhTrN#==nGL zz$99e__-{z^qWk+7~SwGb9Ah!8F*zT%%63lgbxfaq1G0H|r2rWk*<29RJ=WY(q>)y@9&_eQ^- z(O8{D{Mzr;wjd>9NJOW^!Do4e?(&jpPr^si!tv*RweIhyJu@vZ)x+* z%FY6IiN@gz+=c3)tyz5SFMIkR@m5$@$VTD`Z#Gsh-#(Z0@XCv41(miYW@@j?VhvB? zV$m65?QDyq^tt@ap9rKsvtP8iAs!9H(UUNy*7#WPp{4{UI}Epnty$B3F&QH&la$s! zl)+QEJ)+Oeum9-zks6A6Y-*b9rUp7Qi#H|8Iuq1de4Xd}AvRL%COP&JUIbFVn(Q2j zTr05n@G{4gY&vb?o&owpIDL{iQGDUbBQz2wAhG*~F+HaIH1aZ)+YPFCmj0|Xq*1!m z#luNyraHKghYYMSL4*+c%`X+Y|H%GtDu%ZZ19w_4NG4p8^mV-7YzPQ&?8iDdmByhY zyu#V?xdy^+nd@%|n}oWIHIgx)I&mbI9dk~!lj2>!Mq^`nh}e5LaJllvyJnD72N;kmmqhjH_$IPkZDsZaA#tehP<(o z*B^WpfF}3J! zrg97HrC(61R!m;?i)yHpj3PkBxK3|l(|HhYFuvZ8w8woW1>Nf|876e~2D^=^lTM`z zeW}2qEu-9$ICgZ;&GwS#_kHam~V%|elpqhLQfamDr_P2%5RG2 zx}*?1>69>&$wxLeIJ~fs+a{?g z0-F-TQZ^B@{J_l;{l65A$42C8`KpzF{>S4^9;yPEVI3G|`T6 zewbwX5hgt!&Qea)t$Y15w5cWQ^Jczz!G36*x+W8XztjQ>(LiRc8@A5J^F zIuqc#YtM3wFzAHWNu-Z{$CrL5i|#-tr9|yX)y* ziLp+Y65e9Ufqr&Zgs<5mIkxKKo+)Z&sP2S|<9u)f1<@Agm}(9Gct>uMigNp#_CY)T zl;|){gqGb+E<|0vB<8L0B(k7xZkxJ4F&p)UC@bZrkQ;F96|j{EdDAgg&`jz z7ETQ9o?arY&D0v3vX%Q)*b}+-&X;t3zT@6Q84dZ(CETNY_q_=Auyf|ui6j%e5BPiF>c7UO4L^$MH0a*P*un{yrt74psvk56NAm!6sqgx+I2{wpQLi|U3&^9WUA*< z{fRf6L%PTkf>92)^$i_ab?qSo?ogG_?-1AXP;V{XTemw-KuG=P!4?~+6b?f~s)2|G zK!n|Ru(gXmBj9LwH%w(a&|=90--{ZJ&OTDx$Z+bmDA$tH@)0u5kQ(jQ{|QYJUss0o6)g<)2!_<<)%g@wnv&C?s@crB#pMW5sK}L5}2m)GJCii5Q^8Fd5LLa|9 zGQu!lliV^}Dm`J^bM?q8RZ6wzi2v?NeeAAshSJle++t0JPD)L^!tSr(QRd}{*>S94 z@9N}ZmsF+9qKVZ68wXqCy3v4sSItNo(trDNTu7+>7li7g3&yTS*OvYf?!-+%{5}4_ z_ESFfQ4x3P``hjd$aYz5i)vXp7+pl%(ZeF;gJMjRJF>dKsjB+C=5p9F&+#n}h;Z&m zfGv|5g*`9!rGD{5No3sMvUP9ti10_hg=y_b&(yl^8TzxV9geOi{-y2IfxZ;+TC7q} zyyk^;are08R1z#&79TSw2G0_?s?X`To9$M<=crQ(h z8%V|{Xc#}}GitBSjL13`)pe#H3hotZdrIg}-r+&iay zuGa$st>;C=bQb!N1sijqpN&wQ6*)xW1|0js33hy~v6c*om~cmxjjho&ZS#=nrC~aZ zBDP?OkLr7HxvU+y#95Js_GgC0)=zw5B$V`9vmJT@Ci~I*IfK5kFU@$%0R;1Apy(JNem}Ed|BOq5km#zZYOEV_ zD4vdDG8Kz?X7&?$Nk1uhGtCvF6AeT-)VoYK6}T2o!?CGgnyw_(FrMjEOYZcySF@CO zX^@#22|O#DtnqLmxojuPzU#F3DKjJpd1xV*q4gCyQ8btg6mD|#^Rg~GWEPc5F+be{9S{Isjq5ogkA{77sF&bK1u3?rlN*f>o3Jv zv{!<<7HGqTilH&11bZL$1K-rJvo|vo;FDtNt#u*rO^wEynUF4;V$a~La!Vg4Z4ya_ z0v$tLpU@*o5_*!LW~i3MN9^wVs*npZDpc)~qOfP99vK|%U97z!`V`EU2taYd)li~C zf^-8cI;AIWJRni9csS`H@BdTwu--`z$sI)}i=mI>2UBvyP9W?b)Ojutf8ISl9b}i@ zwN$aGPY+2fhwRittnZXEgS;U}PpYCf)|6`I_<Wi3ngKW#DUkT0u z(ZGpUAdW}G3Sg%BS*JCeW?hNHsyF8XCDgriTEfRyI0Vfbwb`)@{+>9@&qzP>f*9-d z#1zcDfsU3lhfj?BYoO(?>dXm|bLBH2^dJEQi$zB9p>3sVg{=utn*V^@NeMtj-p z^9vn3jDvvS?F9KYd3qV;cx4)fJ`^)LWWrPh@w!@zFYHx0Kf-|wtHWZ#Tgm%PJLjsD zpTtlOXi8~gHdpQGMyW8u5)7>W`Nw07>7me`#)I22U5&ZT7uuhg!H@hdd7DQMW4dR& z{E~)iU)8X~#97R?TshwCJctY{Q z%_w{xM=G2s8LSu!?bLV=GYbZjv|;%jisKg5LuuL-N7;mL0bT~1(74;=a_vB$W9b3? zXj2B%5N~`1{eDw}L=>17B04)m;YqC&BQ0Nk(VD+`+DSN(sxIAwYXZ=%)co(_@++8Eh<#)cUpEW#f(d+E#UYQJ4i{1Yx^ z>8o^9*dz)eB%>8KZ;YK;UwBwT+(GeDgcQ-|Ot?ljU?KxRd6@k*8ndEIX)+$)+G4p^$gF?q_usvP*l$NiK&~F1tPpgo46al(!$v2G={FK7N*m=?S5O)$bn@F>qneb;?&YB211i2({& znuprimNg~>s?{Uia*m&-cU6Hw@cN|-b?UZk%O8YldNrZfL_aa**F>|ce*6GEWi}1f zJWICmzAd&p9v43VS>9t8t)y_KdsfpiYyA(?WB)IO55ZFOe+Z)CRhgx*eS+pfNVvx@ zN~lUlhf2WXntIZAq!`~=mfxFbBAI$$zNI%=3Buo>V(L85KkczDx83)rmhk{9D?YKF z%i_5I{(QuF_5;t1@5wa`feVg5$gKPi|JZNuEC)gb51(fE>4~qOf9*N_Y&`MyT{zDz3#(b#ssG%pq}L2&Jt^vqK6IZVi8&p9{k*T<>=O<5`Xu>G#KzDr z%%A(!Gd~L%)AJ`n5H|%=qu9}m<$wK`H~wO+`;{sMSCJSN_7Cyn_m>v;hm;ogN?P2R zw7kZrzrvqe+RbIQ4X7I%3u@0}T$Z%|`maC0UvWC*dwFyF#C)6xU2|58Vt!+a!JL+@ zk}k(Z(-db}v^$1O{&qiHbzoDp*FBsUSwTHvDoOR7o4P?vP$bLB9Av)n9M>M?-Z1P~ zh8lvbIz0j$SDX-g+0_>SG8N%kwn@Zf=L()$#b+C&A?N^!9c*9Esle zvv+l1>iG|5+o3$ETZ5+75zM(O^Va!?;uCAKh-`Dy>1lvD^EGrvHC4l1e6X{t4=lkK zZtaFB%^=}k{kN!b{lTm!PxbM)qH!6Rh6ispbT9fV_o+p9Jz^|L-1O(^1mWc8;7WrO zKL*LWwWR3JmX-g;vhrsXLs?c(_S@F}LDgJ=8|!`>n*J-wkZ&=NT~*cRk3AfJ4&>)> zMpT}tJzsXH_g~yO?ic(Q;r}?1AJfYx_&3;wx-xc@k;VgFMYP0 z)DQ0y&xta8BVvb_-G_auPqi&lpac-4pEFPm=pAwnBo*ANmgVd%5bgH=9KCfiD?7 z#-kv-=L?FTg!ch6ylMnnzF2pQM!>AZ5AMOs2m=#flQ6lD2*@&kgyk0`DpQy9u&xhs z8}EkqM0*L6d!H?a-hE1UJECMsT=B)%F7hA^{(Xcg%98t-t`v!T@437Nt+z7u`M%ZY z&}yyt&Jw3FeYe8|J!JVP!*?rVoQ*B7=wI`0p0IfIDdEkW11X3j|32d@Odwovv-my? ztlt%QcmZ?P`|HHfjlObFW4I``#z{^+Znfjwv6igMRljO2joj%)ktC=lMok>}vBP}T zuG4~F#3%a(Up`6{gwG0*6L_IZ4^CF_gCt|5Fa4)qslYHUH}L4x#0sGwqXpkjeCGj& z($VgePQ{~3Ck{w^p6QS8@r69dy!6%n@SP5-;Fu@o~$9C+)5{qAGD6 z7}Mzlu^&XH0zPo@Nf2T3Sz*m|3RQnB*g$A8nv~^zcT%3vLNVW+K=;hVCR?JGo8m+P z^0PGYb@9|E15$!Ok^INf-u87>n!-Mr8OO{!Ee~pp?+L)7%vlxX1Kmqd`b#n=vgFPx zNSMRV6i>K!1TKfN);BNhj@SyiFt(5|aN}WS-87&_Kpe!^en`#Yq+?-@+^lcmc@bVZ<=0APD{2#XW|9 zV{Q1lcoOr)6DU<}hODttn(*B)@gw)GN;r-{SYqR( zQiRPpbVKmqwMzf}kKVnLTmrJZ$DeHNA*-I0!7dtqGJkn2j(y?eP5rbMzglaVfF7HZ z{a%1ku<~GWLGujmneslmbF|ML-wbh->)h|MX#_(+5_YIb4*5w6`j(l-D(r`zFNx(- z|IRrPeMb^c2&r^QY0Phr4&ZElpJsGrtGhOD6b>ct-V5yaNp>T@eY_;KDZA&UJ~Ms2 zm(mR{ou{?Wq=6Vi9McTXhZ!y@YDcZfU|rpvfC0D-ePN`rfQ{iZdX42pt4|XzSW@c; z6zz)WI;z`MMOVxs5d_YTihO4g!sO!DnD-68B-o7@3HNdgRbu z&-kc0k{KJ5(RDhn;IVjQ@@SU_AZjF$#V|e4XY7Ii8S=0h@V8Me9m)}K?SL-kcHP#G zN2Z8#+6qb;L1I`?x{zi#x_$GiD_;8}$~FsSt`v%JRL9T=7{vEj;skU0ribjGrA)xk z9FHe*=;+8=YA6KhJ~QFOuB-}dFFajAD~@m$2lCLfmjFHWtOQK7$a{H7V98j<5L*At zz<9y3({Jysf!}Whf8XhLWwRzcT|>vix-XyCYE6VVhkhdx7@{^BvXGA$EpW)8TQN{$_@Ge_OgMdH z>WhlmdGsGLM-lgk(4b5pC4 z41B6=@Gr-9u_d3Ca2E#--6t?4j< zeKv-4;rOTbL=rGaL;_jHQasW^s-u2PJuGpuAfx5LKgA~e6 z0QHHA7c-5gDM3(}m}61i{wWMKLiZAYNK**>)Tduo<~tevT08hLXD#lS5T^cIIrcx%A(xDQQ5)%^%-<6%jtfW!qc?!qc^BHP1>ttisMr4&-Vf!rw z@{GRk8LKQ1t>S0zu3THJE zE7oG*k8&`g`RwU1j2aT#l9~#s6>BN*M-HrNk(<1zkKTSxGi3}k+oZZVEC$=96r0$PAVn0FZ0;6#ug;lLd`4*=G zLzMkAXH@&zc_=m;ZuWG)Ex?qs4x{9&_l4SIgc7`(2{mj}eSd*{fsotbZDF~%PC?)X6nuFta_GqmhOZugr z>6hAKq$Ptx1wq_UN+(^)#x7;_AwCf4tl$sqk?{y;8WHBCm`o3NrdnVESjF){Xh*`um1QJw0chC!2ridN- zi_7{?1$)m{P~_K3qW*mbeV8d`BzXEL*oB(rr6b#--fW2VBO)%jlEfTc-99`O%1hLk{E?cZ77Q@ydu~m&@>S~bMNl4(?2jr6p z*E0qhW>US|F;m~yyaikf=>D~68Nb&f+d5Z*i!T%>qw_sW`#_T<_ta)9;p5+x`9ohP zV`c6ms;F9ciTH3Z(yI+IL71CKogs4BID&iV1EGLAlZa#lG{G6tKdv(dUGQQ|?9VUUQN44XB2l{nCyip*>;qy@;H-N|9`RPyzyLg^G1SnpDt%oI zYJh>6^-LJoaU@hQ*(N5w)e&un(s}YTc@RmW2)pS>E13itzug&80aNrPjxWQ2UOa}$ zc#NeYa%goSfwTUk%I#6YX`H7pmGD$2jD0t~@Phbtw%k@3ELUvxZ+2zmOAJ$TMCnRk z<4gj=_|!M+z5o#eYRw&eAR$>|2r6}E z)*BA&=sbBEQ!-9@FLOb7^qkNh<_eqpn`07f-hpil6L8dTiLpc<0ZDP-vpZbUPZeQl z(5WNCwQ}NqUH)?CRAN#x9h)1Z(DVP`_ujp0j_VPoSf^*Pe`Z6E;PE6YUkBmqzg&I3 z?QWIEr&pipMZ?G>z2zt;OJrMGooyws(?rz9M|qF^66PFH-Q+&}s+7rqaD${thc}>a zNO&_8LV2+wPzN;+`~+<^FZg(+Bc=vAJ^?yfMQkT0jwz#9JQ9#0=$my%^qlajJMssO z9lgFuiwF)o2%7^NUmC_^T{s!xrkJ4;Lw;;(*zNkB%Qk6- zoXGtohodfFIU={0yJ=DBrd4A^Y=cieh;Y?gZvbbG4adKmh=RM4>dAAtEP0FAu_Z_Dt|FB#~ z1o6e6#=X$hdA&`Gj&C1|ygtl0l4O`-26R!1^IauKNe|7f{zmqjJpJEc80yEUf>+Qr z4Fq|3%GF6;CH9zM-h5#nC^2XpBj|iX1T#tx)`Fs&5`_8XFQBv%N}SIDTUl95l1xvi zmp_rTL^K!FzIJpC`|$D?NB&SWR#SHv3AArp?YJ_qGB=RVg4uKU++*Shpz@Va-3v_y zc7IiTv^F^b6q#OU%jB4L)$jVfz~IAHMH><$zOL#^kDxInXzAE2AB)ex`5a8qTaObFxjI1l< z$xi1GM3+t{#&qk^vPT#OI@3aGREK_9-23;0B|Sbn{SytVQ!S|#m^D(;ORm%dCq;VI z>TO#c4x^0%AeNsPW4<)OBp1g=%8uUC(#{3Jal4u;jCvX{oL zeITsf&MBA!%EnfBEJi-BcxrF<%Hb%L(>29$|0H=I41buKf=AAFw25l1sz}fgGatw#UC+&?HmPc39ByNhr>;<&G^#|@fm zk80Jt{6)?;G9`!Uy3}_Td{OM4hs?B^$k8m>Q;*^7blMdR1|!+=-k2(AN7#a)_k=Up z5vtMAxmuZSvwp-cu&$I-z5K=MSyzWZF@C#b9+|E7mOPd%;k5Rpvr((kBn?zoD-_E9 z7Nr{t^YKJ%0!&iTuBaJ1CTLF!+)UoaG;We2P*1VWdSHLqTK~c{50*|$M!03B?iAKC zQ~OCGk5;J2*E1ctOTR4i`{h5Q*BaK*fypp`ZtI*P1SH-ng3>y?nB$AyQ+uMfXT;1` zMOPAhf)H`6qG-+$>a9QVx?xs@q0k95J;JjwWhrB=bxZ9dzM;2Jd$-%d*>?w1h5jmh z(|xFEBZEt8>U-0cAh{>LAnQ7hhg_gmf|w7y%t|}0)8SBU54?msejIzoDuGmpoe_I? zTQ=AZP(=f&Vx#TR)o$q74r(2vssrW{epC>_N664~vE!ZM&w2k`?8gsgE%6N_q+ixS zJhx~3#uRnTJkD%z`?1!c*wl>6_F+e7f^`9@26xN7fEiYg)U;sOJV)=$~SQIMOg2ev1U$aN(cHX;<02R#FE!H z`oaieo`jj_S%3F;1`tf9Oc~985y^rOo6cam>unA@7#&E|TIC>f!mf|qf{)He9G~<= z8h&gH-m*L9ma2fN0x9YV${}uacgbt7FK5}ao_^F}$!w1Bzzd`$Rm=Zfe z`w50W&bEy+{@`f`rSHIxkwi80LgR5s8^(n}Mn zV*cu;KJ8xqR>9}K=gUlnpFw%i`RrP(n_^qml1vSScQixz``0?XT5^FMe|tu+I4;;< z_qr)qZcvYzSperuqv_10G8*vXzr$GQE&hWz2VUImVsYDJ2DpjOTXau=IM0ploFTu~ z!~riF5Y7GAnmXIj1u(YXr|F%u^rB0}50B~nh6Gc_WA2*Z;AD64yCWAdg}2wrE+nUy!2&TFjj0UW2Nh2aOLjkUkz#L ziAfJf)Mb9T(SOmCp{3sIzL-;r|MZV<0UTfQx6)r>OHT@4T(Sx~hlV6^eL4xAz|9Z$ z(GUlp*)WtM7%UN}p#C^?EYM(I;Jwr3Jsl2H;yyoWHL^L2I~^C1kQ)KixE;q1Y3U1y zc0#K|NhbdrUQbXqi{!PbyF!efCAH?&KIlDE@;kg34qnD)m_RpjrW{d?k`AyMD7-B_fqV8G(TzC0|wr zqb52@Zb+^yip3_uVPhMRw;8(yb*I6;&{+ftVpddWsRdP5Y=s1dTl0B4FQhk<$zfg% zbd^xOg}GRg>~c${?#ko3we#Hi|9*dv4s+;3cNhS4Atc;$2T9owLt9=nP78IwnO*GD zQIF-gos1t2C9oJ_Ru-Z{FgZxwobNHLW*8=<4iV0#ts1ixf?O7SHeB1QhnHWmI~rKs-r_gdtYjj0x4h`I) z;Jr!J?(6N4^q%iJ_0infH2oUZ?BUJduA093;AYF=>n+oIMxXaGvhUZl$(F$DQy5BE zRNz@xtgs-pf0&$AT`khiN1652T+aTuoY;f1KiJz7^o{or(5zm=jof$d&N`<+-gz$ z<=dm6D=iv(WBzD{AE8o6qVFpaeY+)k3NyJWweMClW2KI2K0~kn^2uS{6jSk+dZpFb zG=0|vdiBAT^uR8AeR0laY|7Q|$YD7-WaN6d{%dW@``X^Ft6^5Z(+>Fd%)+>ReEE+m z9x%rn#6Evcm%lF-1`exfJE!`{3)ll@soTva@H;g!A4>EYi*Nq>X9&xi%bj_|=S|M% zYC142<1N!t@K2!j`mS;)_i~-PtF&k&SBK(dVcY-U-~Y4kwskIlzq$JU+n>C9w_zr+ zT7uAdO=(VbIk+okk`sLIpYvL_q|+dblC}K7rpM)YsY%ZziuxXFm!3piY+YAMfs|-i=(MYxVyojNFD8orXR-|wIl2& zA84s2jkSW5IGgNVz{|}ja`tuG@AwPcFAGaGatBI z?W`Gi(%3)co%eA?Fw|M?@IG^y6(C`4S9D0HIrE0J7Yy#N8IgZ}rOzHS6Pl9-F^nQ%DXe=I+66F%Hmob-lm;qd5q&;Kz^m=zNkP zowHb&*erLK-*gZUw?ilde3_AaJEoPFQYg#rr5nVP&8{^xK(3T z=wL{2A$gHtjZ1+wG;nGyEg+xf%Y zPcSa>NMf5cbX*4%z-#1lnlvVY>APWB=DA;9vi0I8~YM_ z2}$@f5;*j(MBhAky&fLK-GKrehKngT|`gK7>`pT4B>lT<6`q0y&z(G2-AE{QEX3%hFu zO;56Zotksqpr*$tTGVWrR;4f7q27@44%Kk9W9Q~e0@G7;9I3RJxw^$y>lM7+eUv0l zRW$<1#9u;`(@3{D=0Et#){h3mO)l!!D8h8gjrz!Ffju3R&Zy435<{02p%b>##2}t^ zz~2~SnKQkpaix<+Bhz6lGU$}*aH8YUyw5G$^oG}-@gi5o8-}{k*%M81VJx0J@%4Fx4nbTb(nRxLaoFExj{{W4i|mN=&aO?5$2iACZPv^wS4up zuy#adSit^Lcdj_icMQi&^E z-M`XOuwYscT8Fyo_Qe&KFP&R(%m>G+m%kA2!q+QZ^XVpl_R6SAIP;?`cZHQ(` zyNA?bIjkzl3-$hKSKV2DYGC}^eY2wOInaNG$pVY()UT>CpSY=Ty=;5BV(Z4JNIWpm zg3Vnr`rJ9Y+{OXArd4Fmso4_zNPD(YId-?6DdUTcz@=>$SXX0!H=Wq6olR zhdrz+iLA7X2XOO_5s~Q3&X~0(zqaAkG$viEVZ?CA840(R44W1^I+3){h`777OrTx&>#K~b_WNV5 z)Ey%jwT~Jk{&0R(oJvZ#G|W6n)8@sy(Cazw9&Y*V|R_k~A+Qdxgl>jX|c<>Z^ggOK&~Vp)@J;EDyVd2Ci5&+&@fy2g`Z#F=4gU*fe6L+8j2FLc7Oiz7&^lCCKCw0f{IWwh?P3R%YTB!Px3GSF?fAx z({s*!Q-Xmjm=g6c<4xbTI+I%6z~Zt=jQ78Vvv1DT8Pi-p()rxhAma9WUE$99zu&!k zH{e5IM)`1rpXMl0@~PnM5{R_32BwFpzDV?4xt+5#&Wa<^tbCP_?}5e0T)uN*5w%29 zNF4FvB(g*nXI5UF*M%d=_#`oymnEJhz*LOi<#UnbsSMq^|wsE#lHR) z=x?M_^?7NujPh`jbeLOO>2e9_Nx4MVN_4*x-Jw+fEe+@c-}AQop*+0&@>o2ZP6%gp zl~@lYPMF-Sz(!eWr}{@#!2BAU{$p{VyVzEWMY^$w2vsG+wz#Aq!`mawfD5(Q)!p}qLdHie z6wUV^XZ?19U7gJV=NW(k8dxnR9i1eM` z2iR|gyxQrjK~E?2CjKgG=v%{kZX+M$ZqExpxUTh2{&)bLKuJLb*at)1RL{aj@_c3%L;y~!ct-M%c zlz+{by+M-NL)q<&9YgCPhy5pX(kUJ6%J(r*;`k0hIss?{-XBaQsB)251gV zH6}nuz^CMlH$U}hC!pQMqH|B$NUHSBp15*GQ!;@DM&WKo^a6${Hzo#LZVgJ=y!gJ& zXev#>n{^}tg($NqE};XR1E<_431m|O387FD>)-o{30&dpCvShW4>7MHp^PY5aPmFa2$ z=n-YEd!jSBxL||d@BQ#j&i7culrs|LHDW1yP2p@*SwVAs7CfZc09_LEBfWw6mbYY- z0mzet^5JX4V`_2k?vWE|DoZ}Kr+$RX%lucl9gs_eIgd4&WI<-zl+Vu`4o;P-qrUQV4lbr%f3ESnHo$Wq{w6d|coP0D+H_FMtp2uH!tPsJL_2%YkYQpb1y zOj8Qppp+PZy_3p01q(_Pf{+l=q!d_w`1(ST@gk8V%bBvUROnn zj`Z8z*nSv?PKe?d^`iVrLnb}R-5@!rGcusd*bdnjqGZggR7J5S9v^QpOz{A!HJxlY z#H%K{noQh@r%=Z&;KCNjHAlfa?Rg#1TE&nRaATT4Iz2-iL*L<05_`l8Vg3;6AWwB&na+nH(Z@B5=Oq;b*_AFQJVrSV5+X7$xa{;WDG`Bdk2uc#MFqJ| zS@q3vkS8}}-ff=z@uKLpfD8YUKo?J!l*{HI7yt*&@Uicq>AO9`by8cJEVXeendcFm z_7+8NE_frQiRYV2>Acc(#cSfRE@xkWFr^<0nWA5zn`-Wbi?Yih>ec0EWFgCEi}JT* zQ2G+a!|W^?Snd%fRZ0>X)?po}`b8*)LGmF=KZGzyIWUX9dM9-%jfbE(sj?KIy;3cUQ{2)SyG z_`WWl9pjxk_ycEZd{LBe^vVfjf-D%Y?z;??c@;YgHb#m+wiPDUUyg&3tC~*tBwR@0!Y~m7C=7 zHB5T?P-8M*8{pi@)3xY_V{c3GbaX%gOz9vPJLLz~QPt3ydD~Dor6Wir&8?EIwR`z?>EXMpw`z1s z_Gg~kUTmpKW4&E_dD9wp zG4aw=JE;<$%y=omEQ{{6Atbj(OtP{lfWMO%BT$(ALh-&g(%H}$Ju$Ya9a-xJ#*p|I zrZi8J>_(F`D&K1IE1UToYC-%FG|@egSh;DwN6kqqLx*D6ZCU}aLT7@{XRHjH!OW@mm0~cc)}FuvxfO|S@qkHiE~Au2 z76X+(^XYPI@=IJ(~u7FA4N53zMZ> z8uZO;sZ-hJZVZO{jp2bH7g3oPcJaum`pSM*&x}0DcYS5N?`B+&79`NcZcX&vy$-nE z>Ns^Tjm;IfXQj>*MfLKyD4k37E!i!R_ZQr_A@b#OePMnSK%3P!PT8c%XxXH`khvxD zy!xy*x2)0 zy9a9^buS1K-EL?}jKI)tHhJUcjzg^-d%)F#yV0CTc=R_9&fbM+VYW6gJ8xdW8=9~N5tI+TLN7KyoJPnzoYL}ah{@U(3d z&UCY|>@nvM@!*=Gg;LL)0be-cvtE?~FvrGx|2|5;An}C8=9IV&?|f2Ce{xQei)mRo za_^(?i`Ux>!uvEPaR^4xd`IGbb|3q15cgqk`9eJ5eb09!p5FU!_1q8ded#$9hrUky z^^vFdS$s{uZlI->&l+`tX-PwABXQz+8*4^-9$MIHJ4Jt-J+nvRFZ5A6D=E3gWG67G z-eM69wIpB*smt5YNeesTz3uFMj}3=9{1(E~ydgX;c})*0)v1An(S0D@PeWdVPKe|G zV-J%MWluH((sr*?j)VIY6LCE@Ke!JvA)h(foIC1R>=k>x-jze2SS3o>qcl6~^t4eB4c#wv7EsUo%#LRFY4F7>O?b(@>wTf~ zetP~J1euZZMAss0FHv-#WuT~bJuPHLAwFDIc&s~^!EX3mddYnjzCtg$PqAZ|^qX(c zdxe9^eG+{kagq;DYF*CvAxU%T%~u>OmioDX)k(jEH))5E_w23p5Z?!A6P(me2hSU@Ueib*? zNl5tOSFzV%4{ye1PD%onCk@c>f9PNSENA*C4ME2?&Ncxmmp@KgM(-sE#Xz`khbBNz zL8Y3vfKRX}1vPF#=Ivi!Yh>Mb`D_%=`024`%&hNffVbBNVSc<~&IXFXoT}V-aZ1p3 zs6pO-knS`6F zhI6@A{oLkEdg@t&FTdiIyTINK_pCX0M}~$miHfb%!U}p zjzDEbp04JP)x@X5F+u$Hdx=H8W13~yxVnn3t1va(x-~C$;yL&7E!6Cxyw7ySQa;e- zLtS3KiVzZqZ9oZUH&Mao+k>tU>I%`Nf=_$}UaHd+W`lRk8x2!SSBP|lSXYR}t!$+# z{cI#H(3d4myHUcYzv(pez1@<4kk=7TwTYAvL8(AgwuI}5Cl;aWTt|VWvm5LLB9mfMvsvM zF&&n56(h}l`nGTuB;@@kRNsK-T#(o)r#)=r~#Itz`w5Wy5CU2@3ktY6! zsp8*QX({u$#__;2BcFaIrnYz~>6f^<&~Ukh?#KiqXb{%1mfQo(*+9;DiDa|qZ${Dr zZ(b>!^MNAm#gVC$xYpy3rV!G4|7(j5UF26^z6KiYV%Ro)@p;e~#OBRi;DjaJt^V$r zK>y4)4tXbktQLK6&DE`TK4moa?0e!Q{LX-gORbc(d}&O3#hTK-NjZzH$9VtwQZ1PD zQCAy_%j$@=)6dvP=4855TlUc(`kI>WneJnhOlzeRhWOJy`i?&|=4r<()cW#w-o1nF zE1v7xg5}!)LD`jLw$#6Mj7ixsp-fxkOuc9mPoUhC`LvFd$^|}(={$6i^A(8|9s7%_ zJd{UC=-CuZP#||Bl_J(@dDL+T1HQ@C$A+@_XR@E#J9qLajzjs(`iFREYLgR(2KE}3 zk>lDmpI<_Liv}=d?eRKyF!TZ_RU0QFI1|&uF}pg`O3%tLXk%HaKIV!wgGf?`V~LwK z1AYq!aOl_CtdECcRaa10ekT3oSA4&8oB&Yly!>VAN_C4|y~zz^kH8aY8s?ktFUE3J zyDv7-O#_E8UO`M222(U-TcBdDIPhoKq@L=AU`3*eIV~m`mS4SZ6>~q)+2gopY;4oF z_MPNZ-fs!Zfume9#&2u;D|^Ttf3$KwCP{L|h7kS~7N#mt=R)EY4V5S%m36)2+r>8u zLg6fYVd*=-o$3~PV@K_Us3uv4Y>DOxzwC6i;x~V01&AhuHGJru_ z^Cx9p=j*TW&&uWO%$eiek?@|cWtt^`N6>{b*IE}9ulI&TSzZ>W6G{@X63Z9Z(? z=k;bokTwZrxs;4GFcR-*hLV^ky1?@?Xi`v*f!#C3+Ptj0+L7?6OECdm(O)ca%4boH z_Q77J)3!rlmVB|c)cYa5C=N5@xEzp%UE#izrPh`XO~zAfPEkN{1Xv}~rNmM+=@7}w zaMo4S_BkTqH{EfehKhR!*>PiH#&T=btj^1+_6Jsa{$R8w1bA0+?C`OP!a36^$!oLX8=uj$0AJbjf0mWQoNfkfl2JyDY4wGUaj!g~fTGNf!A6)covU9EMttfj1y6+*`#G(WL5^Fp~Oo9VLX zcx?5j6ZT-S&`r_#Xk5JlWh)u(BL-}srAWwB$Lxa!Ueh7U1D|dU+|yDvEv~s_cA(32 zamCA*Sz);;y&j&S?731{dyHp^yI6*q{$fe=E^$k3?$-jfIC4MBblZUr0-Z3G82AI^ z{0%l3N&VNBj`b#6z;%wAiyyu0qEnyHoiUyK7?v+%H>L$=ex_>hpY$kwV?qaA^2*_J z@V^aWNtHA?lMUrEpZLcPz3>ty+fA0G2bbQR_%6eCbQu-u#mjPoAE|bA4Vj~egYuT; z2Zv@es$wnWd}-WsBf(#sm%DOe z-3_k3zL$AZCwV>cT0of2noY`d)k}OB!4tJm%1#}cN2(Cim@d-uqQ|=Hj6X9G723|s z0C6z`9L7_ZcTM}^w5>+caTv~GMKmK8j_D(N{lNF8{_a{1Mu+0TJvqoC=xkoPC^+$` z9tj&q{UlCglIIn!-G7IULwcY^OugP`!gG-aKa6JH?lV~&LQ4E3#9T}~*F^;wgl1e` zp~w6|>Ack3(S8sdKMS!P(Bzqxoi5seSC9hYrCof@#^HDg_9HJ_6rL@GVN71? zLd2&|>QZ(pV9MMF(UAjEZXC&PjA}PH?57Zz(T!aSUQ3}Gt_M7_!1Jf2Cn7j<)%BU< zYew{1P=+T%_YT z(ku+D|AQzDb+OqfEEUf$jr#hsEo|Wjz?ByK?@E|h$2OT zq+l4bhXmQ;h~ki(v4(^OO=2hktZvYN0eh*nEbRJ@?#mU+3O?&hH!~8rLpgFp35f{KdaeDMF@5B*h$m_vv0I*sJ#m-&3e}>GBVGoBbSWm*k4Q1 zbN2%;_`q{!#IlWzw4f3CfpH|<1SqYut<@j2S5!e@^!AU zwD&1B5J?^|Kn_nNh>jsntk7&4+Qp|;Ro=6|%y;)XZ7_2qUacGZe48_d5^-v-u<(K7 z&63Eawf8<>OEABEP226>ChdI;RA@ha`f$cO5om2|M&IPlNJYh*G7JsG%!zmrx|WK1K=*@fwq?ATT7r~bO2pyi#5SV~1y8`!Z7?Re9Y<@b2W`+g;g_v1!{mNbuNVO$D^F%393R-#16pJ=a=8 z9iEpDmKzvNR+%B6YaBb`Z1zA|2ad`Pl8;+gs1sHy+?qP2+-=w=a@!>TwC!wG9 zowa1Sl!A2%y?@*=aWA<< zjw7Ca_b=p97E7Mut>ZE7gy(vOvPe8|@S`o8X}Kkq7;Z0E0lIiFrc<*Ke~n_t7=P)u zK46)&po7pKW-q{!uHX5BEV&IM^k02B1K49ka^Lu`zw+h{J?k;C4#CjQL!ilFurpCM zlm^3j|DNGvF=>tz6KpiAj39E=N30 z=1tWnMXla&MI`#)eYV_Z^%8`jY+mK~YFer6gz$tn-$J_*5rD|DN@3|#*XIP&y;pJ^ zW%sUBdh(j-yWA5lf@ge=2RC7Vocx*suf%oXefvxu&eJI|T~bZP#YUFkZH;^|2VLg5 zf`$}I8yiuG&vL}d(gO=BRoyXXt~HmF)spAL8=mfU?&{B!`do5#fqJEsNz?sOXW@G& z3(Rqgl-5LYLb=GXWzZ*8yuG9)NLyPR@B-RT%TCu~NDFA=j9{KwITjcOq2?>^`B(n) zuY%`ah0ni=o_`fT|B4|p!mF=h8w!&@yjqvb6@ifFIdR}prf}r4hMN?v80C*ZFN zTJ90vA(8uPyUI;R@OmQuT@nTFk|=zaMA5q>ir*zs@(zg{`&|+_lIZH&|DEAa7?^gi zQ2LaC2jRGK`d`VBZU1bUr5DfAb;i)6G`_;e8at~KZ3gMynG)!e#&J9jru{>A2ph*l z7#p3*;-{UM>Xz_5(+dI=a;lA|kJX`dCMLZE1}hbIzQoa*oT9}M@6smA74Z+zMU5CB9v1*2ioE`AjatA-AwIc{Y_b`-l`h(S+6w@zx|#j=s88 zX4~A=2wp&D-qg2NZ}B5Yb=Yjxw?@&fGYMob*pIvgzCUBw4o&O6yvi7K1Udqko2MVF z_OG#)U~B&zImKLkDzG7y;L8K0WP&1s!4%E{-#e@1vTWxATT&&w96XWPxoT`1AE7pN zd$o1d(vsDgVtAnE&K%o)hQ8u+YApM{DQ@BGD&Os7gnW%a$l}>AIBf1Y@Qm-xg3veq z0DVPcrl;6`$wp_bqPq66Tvz;=Ee(1WGj<2@|EsjN7!8id2atYwthc$uli=-BB#(=?_jt2&ll54b{h)ynOtC&;Ms%ZD? zRP#Wfx3QG&JT+y~59C}o6^rAk2tBEV!zb$IoK%S2(oVgRy}rv$^er+B4!!IoYK|7YQ^gv=F-B#fcro3sF?*ZiWr^Svw|R=-t?H zSo+PboO7yME~{HB;Qi6S5$*6oTGXN2At`~%OZM1Z#t>74TE)2ADHzdxX^uLz@NGF> zpt%iae((??#{+}OljVu2on!n4qXf|svJ0-!0X3_$u7)RjjJYjyASSV8Y3cArR>+Ws zVPO7ersKI5Av2LqpirO+(%eb>Ug(};LDBhHYCEH(jb|;YG#9U26gNs6Gi@wsL!^zF z^pFzjrStWeV&-4T5a>Bu0&YI$yLmdl&#cI1!blQENEk7pxG-0QU7b?Bn)nX;b+B=e z+mlWXkvqttPss@mlUTiH40GCgYc`W{vP8Sz+@)AlsU=^j82Dh0*rI!M!x)D=2j8{J z3x?f6#-r5r)3@0npT3h~9ZVmeKANM)D^Tjl8LHUlP@xaFx?UAXJWZ{Fh?rEX83%Dd zS-zT@@j)?HE5v339jShFQO*DDOVTOF-I01OHCJ)@R@R8BZ(1u(9veeo`(=@-&ls1T zDIFhZ-P-uZm9ES~3579jYp7{t;B|~=HL-EMPxGWhC6*{vNE}*?gU-i*7->V*WXi_{ zXt*jXb~SeRgbJ@ppa&JTHFkqkMr7l3*ZR2}G`Oh4&tmy#T*Xq6ZOH#QO9?hkiGr(w zY(j-ERQ}8k;!ZCUGxToE#J<(ghk`1=lFIu<%79nXf^B6r&;WnsOFbC8EDh@tnvU}C zvlzYYF;k6-8RRa7s%3F=PYg*yyQ}`f(4v7A8-&9<=9o?y-Dgh&DvOtvKBu0P7<|yZ zbM@So%g9ALPt}bkeuf%XoWId43~ef4ZZX@X^31maBNlXT_1m==da{EzSBB3LweQrf zO9nW}RXRK;I!3o?u;mhzmH}2q1J?0#A>h(c4{|{E(KDM~L!{gvgzP4h6;pYye zbYNSqU_AzqQ)Am!x%oh0si+EekALN>Z{DEZ)W=oK(}~4x-Bv3u37xeTjpT{EB!=>8 zWtcoNR5Sw>%s_Uz+HVwk*j`*VB}DGiw`+6#^e4OQQO>J5dc>0hpT7PrpO@s?T9M*) zsLYx4pgvF;?=p4--D?D#OMdS19j`1ZB1?%M(};W@C1QEC2&x<9RLkMP|vV3qjrAd~q2bly<S+UQz<#94F zyis4A^b$Eny-E=q>i|qZv%j>(Zm)Ryw!ox}8Fzce#&VMt<@q)}7n*XeJR1`V8S@%H z(C}DNz1TecfWZ;eU~|tnQgH$WBTesI&OLIq2d+o=muc)C<+tbfUChjg0lxe`^r^na zUUz{XZiAw7eSa8azJK~h762@|JlWVP{jXHq!ay4v`h%2<>FdsHqqC1Hjhaw0N_ zHGiZUF*3F)Ue$dzpN~{OrG-U|k8L%HL09f=3MKgaRDv5C3fyBB+iQ1>n70`XgG|aP zcHOjx12+Vn@+r3zLn=mTuX65nazc2bG8gJ>s8v80T9|MAUFcS&Shhhva*VHUPE*=E zY9u!IH_x+^Z7UkfDJksp;WBUX9V&nq1{`+z4pA712Ub;MJgW& zeDt9Z8;CB|E^XJ^CcR6V5T=yY(ou-M?gxF^-kzW*8adcnTX8_=NvPI+(M4X@6Pljy z&d|*hH>9a(+@};pXF}7n{TZYcvRj7nP#p+Ss#kHf_( zlQ^VlSMLvO7k!AzJbl6!#D0U`S*yywl#N(OvWe*I|D+r3v-X$`!mtO^IL}b`9GE?d zMrmJH+G3Q!1?6gAn&=l08m5;MrkQby#86NvrTIue&?_k%e*{;$EikoND)KsS56W83 zh^;VTyQ=g7wz>qvEohc?hgDI`(3DZ$C|P7Y)@6bHP}=U+&|>xy%BHi)8z@Je9Umx#A$5GS4X7+J-JP2wT8ap=~(r zjC-2bS)T>Qe*&dpFwW|~ndfF&{Wtwa`JODQ@_wmIxUiZvo3bK{Gsl5i9o}2d?dU;p8qe@{CnkHjH3dO2@T_Ux;iDbP|)FE ze1?Vd#_^(Cz5gB2bA-3pzO@+Bhd$DBB=5S;C2y;|d8|sQDnT%#=|AqEOA4tcas2P4M4c7)^DyS0w1q647uWuczX_{vYK zQ;e&|KH-eGan&=27@ueL^10G^3UKMH{ahs^$4jnAJrt=s1gaRfB33YWN^T-wPo$Cr zgpTdIoj=1iE&-t~NTwE7>=MdkOl#VU2%2Jp)G!=^nd_1%BGoR|Sofnino_vv*`cZ< z`)JqO_)K~z;U5LjRma29J;4itDbarHxx`S1z|iWWzCmJfGVTbT>m*YW|2eP08%7+L zzoy=)V7rxx8!)5Z4@d*rH2&#^N zFHDfJpX3B{UU4b?qU3h}fworE{YT9eQ!hqkH`g}V!3teLOA?S^y`iWNnJDHoxM3Gl z_`)}4#=ct8@+46RDhMb}bZKtppGmHXW6e*kB{30wGMH{Yi%b(&vP+dB-K@KEe$o)UHypQ( zspfdv_4IYVRThS$28aavNsDut6;1k1GVuFqE4hZk(7WdkRGmXP3DU&!ckKQ%NP_^uQpm0WPv!`NyTt)+dvzlPb6F$4Mzg%()mwIXsP;_$69cx?B@(Fz2g%b9lR z&q7Bxen?YwKlq$<ayjW1LGl^%dpdoj=NnbSch25t2*a*VaKa<956@tS?9U27 z4+QZ+k9e*`Nh^^S={;>^&WATdTAsB<*s&pQ@}Vb9{F$jlqt4K^svIQRV|oX!)m=D} zo*YyMb5XTayU+T*m`jYSrP1eYsAwM1xGxI*93>=U4uxr%^+hJ{EC7PjpYswXpI@Mk zGvP`uDw2sPrqLmu8)}Yw$(Mw~3?i#2+nnlCin*T1LhnYQl=Z&tKrvWzUajgvDGic{AZNW?=n{9+?<3+F}2;{>zU&hOAW4O zr1yA`yp$0W|J97xT6jLEchNUKYj)pzJ*W3VPUpp(*X!!Po-yt+9%GffX&8?>wXTF2x0-T#o;Gw(I46ww%#LPXF`dbUsT?$GONFe4eZ# z+3;O+CbZed9K{}h^}-KsKTCGkzM4JyJlR8Jk3UoP3G<&lyX#-g9)FJP?q|vvo@Gql zIb&*dN2q>z+G72#o<7=%ky2v$iAzhJs$HJOVg8m|IzMy0 zZyUN+2QI@m$9+jjSCx6iv_z0XiMH{VSUsUU z5Ft$h&0F0M2B!Y^6ms5;EC=gbx-^?oOk#Fz(eTEo&XhIeLIP%53~-m#G#kIqY5X+U zVMY=l9jaH9E*_wQ^29L$VKkn#!XC0<=s?1(?|2s5R!f@6^OR#lm5JE1y(z9gA>~-f zEDQ~XAN8=wg+QQOiLot}Enaf9wY50ym$^ygFDorFdWRR=e4yw!6Ox`4&*Io{7w$h*9Ib~cslqD=>Vi7tgs$0SwC#k^$wkYjL%av{hd(b zsgPVmblw>|+J}pUZ6Ez_uaSJI&;Cp!6|QUGNBWJH=lF@3$spJLv^gtOzmmfEMj(Z zZ_*l%2n^V@WMCY$_lC>QDO(9%gmur|$k zE|EjEAnFB1`Kh;0S9C!{m`=d71D#KqP%L>Ov%~m7qhL%`OWwgw`fA50*`8KpD8Lz) z0R2Clxma>(c;Q;v1N11K)2uUE9?`t-tfQTadvN9QCv<(#^)biOOvAI}@GiU0Gw?H+ z0@ln5*1EV9bmW>63P1>xt3xXeUt0&i&q#n`%`@}^h3HRHfqa?nH7$2q*$}is#*U)Z zi%HPn{*ppEghDc3YT z&JG*1$g)Y#*FZs2R%5VABp>VpoJh0!H7&%8o^&R~lj)9WLDxX7>-FNc&G1(w zQRsq*3mp<;%^4={;Q505Kw-j#VL%OGG}*f^wydX6o?Ook6XPHK?G8Miw|^=!TkknI zxiVp(HH`enOd<}WUiqF@SPf?LJ}W1q-VWIs&iCXNr#1_MP2_nlVdNkm^G591ZfRFU z_*Eesb=Fc);|i{NraGV=tP21{S1_YIW{OPYC^8HKlEfVuLFF&Aeg1HkJIgqgJ!TBgC=n`DZs%4m z@R1u!4n}R-d=2u;=JSF`=PBmmJ{r?O!YA`EWf0h$v5w4gjnp@eLZKG2EW!;svRGl} zRry$PX-_H-H5dvjM<#bCg6x!ObJgoSvH@*X;i#v?xNMBvz{}tF&FaLf zTcNQkO0J<}$0Ze-)eTiWUAAiAc0?dFF+}MF)e#VH%thJKwok>CbnQqeB)ynUP(M{95nk>H|kqzJJU{Xi&T zH8vGCfH-fyZ|)X5v1NxQwd$+bpN%SSsTvB{vN)-(6+35=CP{};a%k65kA}Ck&ah== z@5EpdU^BUht@OAV8Xr?jPbju_i=2_)bGgQ!u%&D$B#;rEHPl^iw&cjJC7kYfIJq`E zz7TZ-Yb%!u;xWSTN1W(tqSmNBp^O@O!d1Cgl%gS~>|pMs))1;{62|zc#eI(Ip3rkWYn$y3-FP7swwSFlLQ`X6Hf_2|Cg^(ms6w8t znyE8$V)f)wb5G=C#mcG`02#)v-zo8iem}WuT6gW<46P1wdEBeYO|*)dkZp>;km@V%9%1!Xa#yYYS*S?sYoP+nLP-89Huby zt|cHrKPL9vA!DyHmK$XihW(tW>qm;Q?nY`zFvR^D+pw`N;GgLzBW?oguui8l_LWX7 zlU7GTqDu7?ut(tBuib_90@7IuTr8~~XM5i1i~q6oxPDj(HK?Z9!c_4!)VUegZFU32 z*K~Y()0x5xg)Qts%)sipb|0Wv3Fw~c^uA_eF~uqbIEkrp)4J^-Cw z>lrgxPx31we(JH2oQ)01orwEMmZ`(3QGf2o$ApkX6;p&G7&BtD^l42KQc6yOagZ((|CUw~w=X)6s=Q@xZ_B3od5jW;CuL+!?n(FH& zFV?ji`MEZ7m#tQi^BP^LQF0!sGrA)S<;dDV$x@e<;{^+o;U-OMJqWyW*)Xrm*iyB5 z%+_f=Rc7>s@wwhk?a@<0a+7{uCMoF0?9rUorvqc8;$548q%%g{S}gO2ZTt^kdh>>= zMN9L)4_o3;)1U@RIQ9k%KSEdstES<({Fyv%a^yIqr*!)Gn2STp_z`F>(nDTt+G$$j z!#2Ylm0E%8B?(4a>@d`TM|0db^yr^s2N-&%9er#gM#pk^itPF^F`5Hp@%_Z0EwzAV ze#c@G?sOTw4F4HeM%a~P4{+oaHs5+7+R4IJSO+x4HkU`K*r+j3Ach%tqGD|Fi<9ttT$Sw` z7y;eEXLo!f{Zqx{^RA1+4KGCDpL2&PRUdfha^YQ?pPg-EgRd7`p`C~Z7w2bI)PWpzQ3l2~R2?BS@5V8%3W#Pk0a%lbT3?lw(U zP!BnCu;au_uRLcsMO8=#%B=4!^-!uh^R$WnOJ%ZbQbUfan~K|%X)ef(+f;?AKqbpK zpjn%i$86WwQBE@ViZSUmcBEEnW0NgQvw8YKwJksS?V=?h^cGD#N-mS2ZDlK7ALd2P zZHlRqnYYHj`_fO_VZxm`^dpZ)4ikwO?T6?VbS$dxMIjnH0dN;BIJ|_(3nJsfKOzyL zj%SZubG#XpwiqkFn5t@b0&GOblrB6J`b-nIA1K;UeAPd}Ib&_&D&yM9QKfhCP~JGc zqdX>jH*qJKdp8Dm7AQxfi9d%cUKnI*MohjOtA{lVWNVg&=|%(uw% ziAOjh@m(GHQ(#r9jB%H;B>^SG{5{`ej5IBl>3)pXgePRxF*)qY1+ByuW(TxQMS)0h zi+q_;H{CPldVP=X48mBR%>k3jQQH?r$zYetX^P+mGxsgz7S58lx8`4b3#!H}z=Hr1 zQ4gG%jo*w)XD|~BopvXdLm(u#WDFswJh9sbf@vl1r z2atrT82HzJ>&=^LPp^6`LSoFZ$g4$*m0hf~zi#$t@5+Fo#7fxDsyvQo!)kZd?x&1x z9oUs?Q^qNX^H_giJ&_BIPcqB|{oD7dD20SZr zQE0yBrZXixbxkK=Yw|#X8JL1HPbqX?KvpMHcYDcL2&1nue`1$aZ#xiG!zZh$AkjZ? zaMmLHVFyh>LyG{BN^xJ9icM5upkY3I&ml$A2y1dVFisS1hhPruI%1&8Y9Vz6@ z<(X#hUcYBz5m=X+2dwUA0zdnCg^iHWDUX>@8@2cFaLy%4ybxB@19+t)z@|eAFu?-~ z9WMQ>$j{LC2m>L9CE|J4sU6wFCZEgTQNdz+TmuxlZ%AF0{JDBtY@vOY<-I`tjO#ys zEI_Wc7<3ldg8~w&6F7d4KQ-pWW1FOp%e3nW zkixoUnB5GLA-+OJko?K~-&-1lpPh~UVi*JqVw`656Kqo1zAHTps<}XkHVQNqW%qY& z-97z9{V!(cEvi$VwZz|GxLjqk_!-R<$7YGxGmR`0EhzhCXT-E45D(OQp1;j5vxPOs9lMojOZ<&y-(F%qg2@_+7V$tWv16>csefoi5Fob|-G3_8q^jJtZDm^Q^h2{RG3| zVBm=pmnk(>i%BPjds7D#Rk+4=gVYl0TodlCLme7kVs>r!vID1C=zCZV_Uh(&omIqO z*eWwFMmxc*@imbEc9wO@8_#aS^o9m^Y^+3tZANp;nS8!i2e$8VY80;5r`?_#=0&Z| z&er&|dxwVX-16+ei-%=F;DhDXHC};i3XlMhpPsemhkWEf}^9V z`#BDMfgyg*`f9gW_yZx|=6XOiJ}blvX~VnQ>bx_(EYogF&>Ql(vxq@Au>&tK4#Xam zTOgV*PQ-WKN4pS;&Opef9UI+C&3i_hK5|g4(EcZ4;%n(wP|>7LUGrV`chF*$Fq#&wx_%L@zvhh6OISMZbAq{ zF;QV(L>Fx~XL39rHUod7>eG%-SxhLHND02QZco@lWalk0fU&!yrU(pTS%QEZjVp^k z)hfKVFjsWiI_o&ENm84Dj>PC2!Ixh{%2X)3*@A~649kldTVq;!G#bT-_AsP&vM%Eh zBlh_{EG40!9f|4JZUvl;ae}Rc%J^fp;JN#OA;uS0jDL~Ah>Fdo6fRKm-Q$tevGztxr!qxD)p8%Caq;#PzRCB^;S&ZT5&`qGO<#$N;B!2>e z=_(Y>phuQR@vk+Qzv)=% zdad*uSM2VJY;AF8i%&!Ft}x(eIG`gO*&am~DbAxX%_6x{H3{J0YcFl1Z2|gP?*-8gS^RyR4C8C6hYtHb3fUXc7a}m{;jK z6^J><5{o0T7|Nf1A3B+e_9dp0#yHxn7^_-~dYfWdho*e50s0ihf*t%&KJL>`e?ix! zUD8G{o76#t3xJBIFy@HKprrNm?Ix$4fG$R*Ugcb18bOOy5zg+?2VD`(pv19UoAa%L z??g{#N6L?-u7{E{G&mZi%`0f{O4Ph`P0d?N&ab;r#!5EW{bgzUplg9HnKmh-6P$G5 zG0XpP$wd_2}r< zl~dp`s1FZcT|D#k(XAast^{1+d1>ej=i3A5&TtYPN?yl~pFiP_LuX9x{9HOF)J-sf z-*E-+DGsh4OMBcYkLYzL%aH)^gwE(p+I1BGkMCWaE8|%-spJ^Fils;1*%7rp^VM_j>Af593Ux&0fBEX0H?#uc-7>G&X`)?kD;{}n z)X;5mXxi!Cz~*APY7236fd+ohD?og==pbj+yMObi-^AyS{?)%QZ}$1q@9fb_k>HS; zH}_OR%@53FCD?tp#-hly7j2boRAdN3mme^)pT76>z0^|RsQi^$KmN||{^Ym+>5qQ- zo94~q=IQsL6g+M|`9rgK`lDN#1J)bf((#Kqf5i7&xdJ^hjS*gpL+`dYd@J$)bV zQamk}w}y0-#mT~a0D9IZ-@s@3Z$AE~){p+-FaG3Lz~t#K{}CwcKKbT;eQWJc`3@4m z2PBTn9E5V-^>vzFVa^u|J52a#oo{KaAYZqie4|n{fA8mi^6P*9hkyQ?KmLVZGjFP= zKQoKJ{B_}sEZ$ltRMfo7PL%Q~r@be(u-Q_CEOBMjWq!FbM~x>92A==)JNR$&$u}^u zs@6NT2h8>A3EJ_8fBtK_DIxbi?VEF-od_5An66o>Zc}rA%ILyqt{<_IN%`aM0tV*P z3aQgUWcyFPabPLZb4EYAKJ?vR`s<(n-M{(=e}up04c_dZerK*eFepC#!>!r%tmV92 z*Q0)w7CSSY=S!-NUuP&%?YxQp#5ktbr{C0He*B$(!tV5!zs^3C)8q%ga&rwPZVhY| z#rYc)cm%RLXk^bLq((dGPre~vKmF!OzW>$l{fT+AZowc18fIV2Ehzq`pdfbg1Hxd) z4rR;%nhU`m=r}`9+~mWTAAbBxKmNz)jWr1Fo_;^SrS07Ek-c03uI$&?L_e~lkBFvo zY{L#h@lG}1a&wZ;pZwk*U~O1zo<7<$l1sYdImgYMkpk8j)exF^Q)(wy=3C>JV=e~|?{gU;er^i6LlBpBtuRwU_ixIBD2Fx=9~il=;qLzdVv zBD>2n)Z7)-=)*RfLnl?~gFd~}rH}jcy5fC-%3DZh@eJq!-G!Z%Ed|_le=e+elp`=A zugfu1RV*L|VSC9a2XEbU+xA@Aqb!L{%cRbq zZ&G`k)^@TJ@||%Gu_e-7(XmEe7*d^q)ln|TN<8E5fAu97Hr?4dAk3OU*`M)gb5xiN z^zBQ3q(ZRfp)n{`bGS59(TMw?VtyRT$>xY^+)?dCi#^0vK(#yHGEeKrJB}U+S4$7p zj%4J!468go`R+(wb0Y&$h3Bo6=-!mQBN&8{6JV$Qe*bUe2A6cC&walH|C+{w(&YD5 zzNUw{0zn3gfs38}a3T_aw2kiEoZIT8<5_YFR?jxz;pUq zr@R71ox7lJ_X>eLvLdwu)UW%NjpIO08b{%xuD3*?@ZRaes%A(DYSYsJN1g-;>FGqz z%B~Qoe)Qo;ZQ7rypEo%E`Pchc=aU%96#P6Tf8;{=;*fQ0)!Aa1Jf0&LjL5~W3@lAB z5rW(7F&$(^i{QZcKmL~XQ*_O7Xf(#x90f5;(9cFq{W?}O7+M9?LD_5S|v&hGbjCX+hbz4ge#sePv&eg|(^A>X%TDvGmbj$=> zP^7O;kLY`$l%>8$Ge7Qs#4|S-y&)~Shax}Jn!Hl?>ezWk$bbGgp4pcV{h60sKJ{j? zb1iM~7E|1!+E7dhYR#|2#ns=OnKwL)L-o~(nJusuUt4GyI5Sje`038V@lS8&Mbp^ zA+3Fd%<$Wv+3r~a)@zc&4d3!yb-pC@0CxxM6CwDzEH5Pa%g4bizWUtZ!T&Qa(7P~Q zuB&v_h*y#pENXnl2`JMIXP&2c&#pB53d4)kJ|u;qBO_lT1)(ARaUO`{ywD`MeCB!M zOi}!nGiaXP*F&pD=eb<=`f*hxH`p&*Jz+^4^PYgXG1+ z(Xd-NRc8dex@?IUtVR!~b9GtM4Jo%Lb)C%@-rBR|dO@x{A4+j#G;;12UE+`q?dsdp zq%o(Av%F4x_6SYIDxTBw-tzijx8Q9w_tvA%>s?KL`3xiW@}Yx{aY&a-EOv~u4XH#d zDw;fWNN@bWrF6y*FxOloWL4PD^M=-ewAp9l{z)Q(W%NEA{feZAj$S4ZWxZ>w71WL` zPl>=nM6oAlk1^Pj%cSn*BaZL$telVJqQX=-N*p*I7cRTIURhS{ntcP69Y1l%{n>-~ z{D~KwKXEXne~b;bm_?qHcATZ_7M;;rrRJhNbieV{oLh41uY=Ahz>!l{O3+;KlEk*k zfx>>{@x;`uXkNsOiS$OcSN@NhLN+h0@_^i37Dq)KR$cLxPr!R^d1-HhMXvzETlC;*b zqZJiLsCcfX;!AdS5Trn$251Y+GCCR}GAkBhPYHoX>ydJ^@s$iz=9m&mPy-cmaVM~9 zjDf5=LJ$!U7rX|Nug|9b()Y{>J#tT*A0CP8zz2eZ%jk|4J&~mq9Stm?K5X$`BLV2U zw?_PxH*Y$dYo2w{4^{f|c_ePDIUN{$v?_~2p#qhd$d<;O_hUS%&(@h$r3dWF3Gl=S zFloU+;t~XY(^9nBa!|Y((LHTOdN>NCEb%raFf0R~Y-_R1=uDpEE*b*f?s@)5__(G< zt4)a|VNVSGA{KWHV^hvk4Qrh#Nd6`xq>;nLQPdDmqocgsm)hyZ6NAAYnpQ|lR;>{ zOPCi*ZDbz?VtpBykZ21+*j2_qAIhGP42E_HLR<66``h$hg%=++h1^LJBxT>6H)k+v z0gvc(LS~yUJNy@E170zen7QWM5?j1GY|1tEtn?{g*At3~?F|$o&sP*B{AN#X$;d5i z(Hd2wBYV1>wnCHy0}%`lMdZj6>#C;$X70t3hn#J*>`>>~SzmPqD!u?S*^cpl4S~Pp z9x&fCly|#lr1_$#jU)CSv@bI2Y;&Kk33k583D(3|gP3+{HsLd>mTMcQwr+`u)e!HC zmpnDUp(#&9^?_>QdjX2}4D3ab2>Z!XTDMhxO08YHn-f7>48etHz%vy)0nsB!DRcp) zH<%B(d1&`{>740Y#%qdwgTa+521Z|}Te)vJPfJfuo71cDUvz8TM#7luXy!!u+h&wX zEY4EK9nEi2lfeZG;wJ8RzP+QR;H}lrvbw#?v3=al%hI?jkF-Rek8u{q>FWb8OO9-- z6BWvA&1iq6kxRBuej|edm>1Ee^`&C^eR`;+gPIqekYZK255Ic;#xGCY=BEOB?)Hf0AwD#qjEO2Y3M>3rD|Zzp}sA2E&}(|oD^j9*w{>&cTW zjI2=3!Uy*_g`3{TO%`bPyu449wYZTkDuFQq54NmT|LT*2Aq zU-ht~;`YvsHq{e5nS>rN(p`$>FQ=P;80PVhe#V(ER0pQIGIE0{vK91ynuB*_Bq(^c z7eGAP%&NcLV;ZGR8)xuQ>|-oyB2piG$+r4$_t=VsMsQZ4ko!!!QJ%&Gdc!;Y*%R^Y zvr2WEYaCncf)jDW%b*JXO*pDIjH|crKhFt*YK%{5Ho*Vp=PTD~u;T<(Bru25s=#v_z` zf0Ct$Nch^xq%-UwHc^qUcv`9-8P3RpliNS480&H=iW{wXQ)Q7-Z%@{eVxr~Z+H9~W zpK|NRzxBPJ{7=95qi_Ae4?q4n>xUozX8*%b{)h!#YVLDd0SL84Q9@b1Lg=r*`Nu!} z_&Y!P^>11~{IlOs-wfpq2ws-jpnyLgaw3(=Uxuc#e*CBZn7P!4;j2=qC|yavY8ePY z(thg?fB0vAHheRJK?=lLkxG-qidxZ<3y&%Bc7F7&fA*ta`}jw{@#n)gBUFXbH0UBL zdUH8s{^!5ZW$wNi(IBUh#Fd1ke!ulSk;=!v$@(dCTk$qTx~jmEV$MtJ$AA1MKm5V} ztUnB8Qrkt^g8G@$wuj>ieJ;0t^u6!>^&kB}fACmwbK31YpyidgXke(7G7!P@Z~ns{ zfA?F~kG}cmKmP77^0;tQ?iu5oO^5W$EL~bf&X7UYPk!&afBl`Gw|?@iAK=6IEi8Y> zv}oye0iB9-61o94V6;ae=#WKgpl%V&mQYp8xq^7c@RiS1USUu`bhLu7^122wcBW;O z-lv5`3`PI7O~zQA1?FyNF}4{#>{)28tt5Gixw<82XuC6=x5REi>Ab=?5N^hTLRN2| zKI#l~x12(h$u6&s@Iyk~DpML^LF&V~syP+;W42T+Vac8xyMJY2h3}p-z5_Y`ofxk0 z98EaJmi9%K>4buv>gVRU;F;!LA_sqVh67Sim)5!x-C91%oN?_ln=73!#Va zi?$Nv0{v;YibF?wFBLK#G7;={Ibt|^hT%#bUeIssi*;x0W%L3-pu!_Vl}eCM@N$RE zWAS=D0#y%hENOohKg0MJWVcf&v5fd|K;N#(@jqL07C^N+Nz{xz#1`rM0+;sq#9 zXGzqV5sj@-oGC2JqFpiwq^(ScJy))u6P@!6!bMc_4rNC&iqDhE=}mId9blYQLQ7d? z(_m6mSp_jeGWpY-Zf~_D0kN*It4j5UypGdl_N`sRC<0Yk>VWR<%LIZm0#OgsqAX)B zGZRiye{>+2QNP_K9n?$YkcFY%8K7A+h$#I<)X>uTAW1)r^`OJ%ns1h z+DaLc@yRg->BWi8g!C;Fr@`)BdXQcqM}^%ICg3Ur$}zU;?!#Oy1d42bGIviO7s$RV zkC}utNYiS=%jXqmEOBnIVFRv!dEasOh`+oz8);^td*g17BT*|kk8 zb|cK)K>S1YyL`7hncI|cz7LZ((>k5@>-mY4kyJQA!X2G9&S*y?3R5PW;PVJ$&^@bi>p0E(*xBfc%^3{42Ql%5{@ zb;{jHM==@OXov(TwfgB}?f8c^b(+9&K=`NCF`YBwx{Vs1lC7@Ei48FHplP?zRdSQw z%7hN3Y@JRDTdC3HJ;ij)Me3^+183A`wk@#S4n0JnVn}KwmkGIK{NAgU#(#-T-7=>$ z)uOTT{h~$nID3dYuu^mhg^fkBGv>qev&=c;)W#MJKtxU#NZvf4b~`z4!E(|0m&p~2 zON=J8Ku7Fa4)dnE#a@rrgV-~6)V)3}oztOQ6lauO{BH6}O<{DI<(XA$));2g^UNW& zT>sKE6(8n;D821ESH%YIEP5+@7k%ep-YjoTpLRSQBfhM`7?UOX?}P>Cta3v-MLVAP zZ%q}`CF3@pXiP$$7oZ*aKu3L{gQINkUo2vpRu$vTp!P0`(=x**iMR(+MmTf&GHCFn zl$2a~-`6j<(s^nrCnVSUSPk1??8#Y<$4VMM59MWDriHe97N;DgzjVC^n=7=I4wmeO zL+_4xR|M9f2QZTTvTSo|TXS{UT8n`u0|?c0Va3Y2EKb3V z2BW4I*#--8#{!fR_2Y>U;8_~jh(4d#lf>t~lkh`bD zOUOZJt_~si8NisdXf$scNVtayS~9+MVRCBcMI*h8`s-H}xt#OtoB?psB3oCf0^d>4 z9BAdwS+H|a@Ljo=>mHLA=vW2H2`gL58k5bWbWfvnC`(U9->NfRUWe>TRVg~J2;(4P zmw_oKt>2-N{<{?upObp|=aqs2=zH?@8DY*#g6Gi5GMk{^aKFN-7HShlXNIxy!Vmqa zkuQw!3zX@7;TlJlhFvh%bWopye@$ME?jJSKkn%q-FdFup>L%UgymO(`?b;4)$A~|7 zss07!vpT+9aAFk%$rLCG@%*FDT_@Wy_PA0@iTR$>e{Zpv)I{*!&>&6`?b z?kf$@T9$Kbo;J1BY^w6U?)R2PO3SK7;_VSz)A75* zHz^O=qt!OKpf@iwu5OTW!yr*~+#My2B`H|TQpQh!##L1*6!xv^F57O&t;R%%&l%QMp_~;3G#D zB?y%Yos%3L335Z-&hA^r>C@2UfESPRN)D4Ow>!d&RB2$QIMo7^(*ay?dp;>qwO}XF zU79u>I16{alcbR(T^QH}Hg|*{m-cbvLHUw;Ql=1l`JfC`RA03mPxA&ch2~#OVJo>p z*z*q8>FXGF{8uHfKNO%3yTYhl!l8?b2Xo4paHt`a(lJ9$*De|p7Ay0Th#zR=p@&9M z-vjk-rS7}(Sp}oM)c;0ZsL3gfj5fw*=Mj|0Z*mwFjIKKeG*~(`@LN2(rW@`LdHJXA z1*t?zNCEWpW4RYZJtwAljuX1JO9LXbG^5huN#qAM<3$86|3(?E3nb^{TOrt&kGojlfgS_BB!Dga-CGlxj@Ny3hm3C`j;!eLb*IS`hj% zVZ=kc^=#y^V;VutTR}W9)f|=+RS5$x@B_yRVg`_7n6|(TX>^l#^rnif$aX;`@m)}f zZA>TF$8b>6#K^%DMgfdNRN3(Zo?y^YO#gKPf|k1>!*TlL(g|!=lhAkSUX%zVdO+bs zZs;-mLQZ$`Ap&dAWotj9sgBT-F%--Mi=V@=UbC zLYp2i!7XT!cehZnU>2LaDeJ6Hx=+_>oo;iTmL6`^-Kw>^=Y7Hw^Cl0qRl0J^utDht z={9MfX4O7!%2tpIQfpN%tjBuwXsM^XDd0Nr9Ls#WNpqd~a9ktvVQF>G%|k2Ku-9{o z%lDS&2cvJ>wRPNVHp8Q5GVfA$4*qSe-D+nYce{oBe6Bs$Eh7x8KRfHdKYH~w=jJ_c z{nO@|tWBC9vfRSQJr}bBb`Xo^fZye*O`q#_bBJJDZlQ>zxnSqaw_EGj%xkM|k15j6 zH|=g{DM&DtbM<`4vDiN#2l~M9@|nW8$0m3t{ zas*@OD1B~!AWb8YA{FHbI6c6b?~hW{pAsx_XS3v!j}=48Shr};Z6An zCPy}|Fk+=^X!)oCVI-IL>8HO?V{poyQqRkn$T>K4UzvX85e&@zHa)A*-~94V3rKyy zVDSXZC5c8*Ga-S){d070#|MYz-a>i*17;gS7U33sc6@VU>I^u zoD%F2WgK5fCLv=ZDBPKN7At(0djZiEh1KN(c1~o1CgTe-4Y71C5Z`;8_FnL^k91<2 z5pB&T&;}Dp>6= zsQkZwNGsDm}< z1Y)+bmXGqFIa>M!)_2gPkAf{;uJ+VY*vviI(@9`G_E+I+MpS z1(kBb4W>VuQr|D?DKp`DUP(AEb_rr!BvI~Rlo#6Ac~+fr$Q+mrPj1)P7YpCjD1UI7 ze@HxH-8S<&C2AcAOeG0@>6`*h0CPG+zt`oO2!WwcxKb@o`C%#s;e~FmC+pC1KWysW zr(%vws8E>zGyBC^vz{}26${<6d&AQci?EXAmX~`Q>T8d`0Lw=|o1dgf36#U0>oT zu=Be?e6{a0-?;M2c1JHTTFRZ8-GuR|DCg1xs>7vFFz;Na*5#Yj z@sXM=jsLCX!{hv{q8DSbPdyRy0)6BJjbfRZRB@LNi^Zk1>9ZBgeE+({CKM(NV#myJ z_i)h)_RFGUwh5Q?`=K2+hZnS{2NJIr|jkH&bAV5Y;&pxYvu#n&mS zd=nPMs1>|FJmgc>oO9OF)e6d)M6{AT#^3qMzrQe7LsY4@!Ty5bl*CbuE^rdd=Oocv zcVZS_l}kFfE>iJx72iRL;40>0Dp2O+cYJG6wCht{7UG6h_o1Z{9vuiCqCX8Swdb9X z4k#qe3_)jDhX*g;{;eXUb06V`zaS#q9v4X&qfq5?6qd2izO9zPH|%TF3k~)f_z<( z168dFKUXABR+t|8C{{5~Dg^8ZC66OX=@=Y+T(1|T&r)A(`s70Hu^)BChLb>2ONPNB zl1Cx{Ora_i3TwVLsl9Bj2;I5fCs22NcD^4XcJ~pq65G}cM8;QnZowdj*0Nfg`&Q2D z=&15x%O$!wiEoO;vY{DXx^J=D5hE$;SkPQe$I1wSBhkm?8^}Z0LE}YyZJP>6Cxub>#TXCH`>Y zC~8h%%}bIi6}5)c+$+@F2N%>R+sN)J!f%S2Yg=amA){csctOZ5g3GF}q z4_^Y++UARGxmt}-wX`MZ2wdxn<=&L5?lwz-QYDF1rdzS4!VIv~7(cPXfQmoBmgKOr zR_XnMA?Z6<9);KC2Ml!Sj3BSxw}@=hh4tv@pMzd0crM?HKJbKkO(RB32MYE|nLqfk z7dwX66N@`y#1KO2wZwR+)@t<-VPk|xnqN_ab)3~Dk5Cl0FJ{EpWiWyP^s6I#4yh%` zRiPDX77xVVNEfC;@)nW`vdi~^C^o8W-4=BH6eB?E|F54@ptZg(^R(b~8qqq^Vr3SGx0(%Pg+Cn#xQSIQ-dmZvOzpD#m!0*9U(cxZ(lL9Fj5JZ1n?K&!vn zQ>8;!fnr?rSZ-s^1@~j!fut!2X7oh#mH}@~BUtI~atS%*y9%c3c~+I#a2UkV1cEJk zzV-s2CtDg#Q=51wdUD^xyN$>jBeD5?-G{JAH0PI^YpdvIc?>%q!*C49){nbBDz@1W z`;J4e8z?=|&dhlLVpHylVdy)-7>+HvK2i#nClGc$$tz<;IWI<@>-tknwxRy&z>tST zdtN~I{prO{s{q@=APIvhK%4V&`->hJS>6XuK)T*Sphl~$hN%o=CaoB6iel8M@dIPBGlv7a8s_*Luog zT*m-tDrAb967;MI4gL(#Eg2K1k&B6rt|>dO&NOP~3`3i(77k>Gx#b+fP6Y9yd>yar z3cf?kp5ACzg$tQ_0GL_IEBkIK@{#=p??BF^SFHi^%Ir>Csae0s}gIrn;f@ zgAk+TIoSug7(WRO=|1MXyf4fL?7feDF`nHQb3QNW0m*<9sLJ`&=_m({$PL}V_+P)I z<7;5gzSB{bO0|>dZbY%qdCZJa94tByZp9vCZ_Q~utqnUmXJv6>Q4!-83{!ScQG!iI z&;^BTmB~&7J5tPNdwToQtri=wlue-^vuJFC2M_sHny4jap~yV2|@ z7ABazS!OEA4D)->WKZ{x?VL6YrCHwPHSNUM`*?)O%h4Azqg5J-a=$g_MVkpEc)0~3 zG{RZd|L$*NTUaUt7Xd!k*GkG(eV5Yq(;8jxn5lYYriL>!*`oWDHLaSBMPPEl?$9A0 z&HhpiC9Es@f;vtdI1HGCu?;Da-AM>R|p5J3ZP0ejeY;%la2i=^=z9vRdS}1z{ zjQKIJuy1act%ROg)5vTm_s&ZimTqZ9_5!1^1Vq@Xh+7p3BH=(W3SH}fO+ss7-ZP0k zaF>y&DS#%gG8}lW9a;+tbl0vm<#5Jsy4`|{9jbqqWk-V4@cMiABA-zhVfomBKIM1f zaUjS=Gh$~HJcXN^>6XjIfg!|RAe1Cdm{sWPA}CkvJp*%KD!Lh@m6RAoiZ3*Y>v#^dp-L{< z7F$}4q0Sf_7+5(N!-KiGlpcKda&6tnrTrYnJ$l^!q~;d~gP~4~3bw6ROLX32g(o?>;)L94lTpDTxJ~MoOJXce`V}?j*p#_kR~s@*wy32!9dyP z1%+5cFo%j}7_Uq)vF&08S(aFy2L3Qc*5y10e=3?KhZ`Dh4H6Z*tjO~fHeDZM*+H+Y zX`5Sb*yVDf-JqFVjGIN7qhmJg>I-uV(H;)1jKY^0h6d{E9U?M(M4zWnsyce53#OUU%t$Ir@ zRhPqtxz=rg5^KVng3GjieSN_m%!h(Zyq!}@U`5Kdbs2kWy z1hI&K(`6y64AlIsqW0Qqn)pe8=@JTsNbSCF@`TO9m@Lb-kw#*#mDP<)KbOkth0cyW z0QL&owrOO#k@estD~%{D7(~?VxGHjmCVuJeg~inkB4V(jGZ!)`qSCqHVeoKzx`T`> zbg*WF=EtUTqZY|m_;YFSSnF}p&%?qThY!>qC==j5N8@W9=C$S_{*)}*BOOV1B@Y9r z#)w(VeeGeqxV=ac`|KpLj`T9lm6^XH=g-tM!bfVsIEoroZ|-P2n#UV?=5ZaPaZb5RX`dy3V@l{RIv$67~)EzlH)Y3W8PNC}ado*5FP;nvor9^zA zx2s-c_V1wh1&J$*$CeG;&rTi(6-}%}D-u1M0eN3h{9@=H987h}=~Fl)x>~N3P@x+S zYaO-VN+#O2-j-D7F}|Bu)HpYYqbS5WqHq^^#rViIWW(Djy?vagj6_+Lj9s3sX-A)8 zpFVof(!OU^oaEOEGcO@pymz(UK1vxB8p@bFXea14PnJp1l8lnQpr6TAfyJJWc^e&#|64fGR;`-_P8v*(W z;+f}LcTeB1)(rAVnV|r0=Eqi5GMd8S1o0OvBAx|Fm$J;c$wv{i@iKIX%T@LC?d8+A zt9$|7t)PcZL;8?$S>(rDjw!0VtW^m~Y(1p%w5A^iOGsvRU{%@v>Dy+uXiq#`{lHIV zPGWR1C+nw=_Rx3Cd(6sDA61l)XY$SqImkKUE=kY=8St05o&8g2qiig&sqp!n@NSdnd=+h{UYA!7Cuz9FxjVyf9_nzyhW`#T|Nz_jHw? zIAPY$%60`PMC~inY3Y%F=8rxk6ml33{@Vd#5dv(QlN9dTbb6l_6syR-7{qHLp-oE) zrzMS3sup6*2vb0*QGc`EpO#vtP%?tEqOis`aa|EvjVWyf4(g#_Sc^ejxINJ<+h zf>dCdQYrhB^er_XdKy(9w)D3}Vl4O-+FD%=S*y_n-@HZHv_`@xDvM>KAsoR9Rx!M- z6h@r2ra7&0pr4mKY_Bca@a)UHmc&@w7K9J1tQCPFuaqFuc9T7%^|TDSl5#utvpVMi zi%-53ykm(SPn>JHRA%AgK#H96ay};pZMg+!EBX-MrzZ&HkW*Z>)q7qd?FOmPFhxPP z_Wou7JgjSN58YjzAaN=n;Bvsb*MgO!^OW(QWb;T~XnI91==HizIr09iPCP(6YsBFC zRHciyCe!r3I}ulwpon{2-ScJ>jzm^ii5V&(M^1sDz;k`97Un9|$b7Z+Dt8r32}VcWlA7ULYmozHS(NeUsixD5Z-|+8@tLkIo3N zAx;+8`rU|yd#GPjD5&az`LmXi3KmFKWLPWGW}6Z08p4xoFv?}SnHRC^3bo*14yO>MVynud*=``JUQv+{Q za|y|Qy_rXyhfzf(ZZVzHFRHqL4ug78Y9&}{*PCv#8DHw%(>s=^`Sp&%15eOa8a4Z! zQ|zEdM=TH~>10;o-B4ejmPVT1VlAcdiK+~>mSm1+@?nZ(QmEjt&j^!1B2R$;W|neqKEbHB9P zbxy9}vdMD&W69gAwXnQ`MhOLr>jP~AQ>a@vyHk2=r3;2n6(?CS1;lpb!&b5s8G6aa zyh+pB;UOhJBSBh*DRR0*gZSDE9o}(Jm+RD}GmG_b_-}37x3NQIfGTWOp%o`k?&c|# z<+BWKqSAYbXOVESv`5)D2L9w??{BcALm$tJ9&c!9j+2Y)UM!do~Ar|?l|vR@LV^DTu%h*B~}={HGb#Iy)H+0 z_6{^%pA;y^T2bdP`tG>juEyBtgg25Ui4kZq*9#&bHv8CF(<}*VDs&`?J7M0K_lr$o z-Xe<=(g(`iLEGaVyvxNogOk9HSnd)!z9oD}pOHS>V)0=fp{I7a>UIgWj@PTjk@nGM z3GMvW@U4JWB|JAlk6oeLoLxEhDiyL||IR!C8bvAjD=746NnM1%U&uW^tKTONt(f8Y z_T5U-B}b#kO{9iv8F#RsqHS0E4MQFAn*Y=Zj%iL&~_z)9Wod1g)~7q(LJV zRZK3uNuPfq1W}p_(@{YzR1qT!NT=uPno(h)q~JzY7~7#YHFNB_n<#1M%FSTrXX_Ft zc8tN8Nh0%$Q4_IPO5s%*#zl;}nz)95?k)z)=2t}DiE(U?m^>%@u9a=nFLuMJv0-#w z`bBTS7}=iZPHYG}t25`i)mdTsvC0|-0gD^i2@d`DT4-S8v=yVec7rjXHm7r+X+SXs z?6UpcuYA5qc&$PD`dL^!@p*12XaJ+x3-hW>JPb|7O$@E?Egut)%wUd3=WHrwm@74m zlM2jOVvJKGu|h|x(zMkwWhjLK@z8QU@M+m<#`^On&6W*a-O!l3v>m1`N6KSNGy3@S zYlBPP94r`k*kpwqEh`glv?Ifg0G`Q1opwo6U&TkGJ3{Hp3VRo zWclZ%3G!XvY*5;VRis~7W&{9W^f}vx?9*M|mzOx6_gqoIc~SkUBsFkCO>kc2^&G=R zTVlJjm}@EB+ZTkjs?w2_upPzE6?Y-Wekt{4s!o9mft~1zD1DYV0jy73mE$t}h-L6% zR!WG561?*g{v(1UDI?escBrLC4!gDjw;+}}=VIS#GaUpH%UntHP%#dznjLd+xN}O7 zVb4tB!WWJ+5f!aEFw)U#p`1ZUPvlWd%AFiMYlWI^xz;MM z)UF&1SP|yo_GJo((wb*=zHQRlyxaC=i$jRLM2HSkg}Eew$@ow^Z4N_0+p+2QJpfSbzl;yrH4Cb$9 z7MBq>zQVIRlzUNA<;&w+nS{ZovP~UmbL)N5@x)uU)AR%eQwr%KaPZ$FtyAC50UUGY^^eFjqQ~5VDPN%*5@*H*Jk4yWn)Y_MF53>I*u0XL>@fFgB z(W6U&vKE8@K$iEvYP{RhH*{{#iWDJQzZx@0w^AxS(TqCFv2#tz$zz&awrj?@KPj-JQZ7rB)hCHMJl8_>5VLxF-L8M%(%s@9v|1apcv!3LMFl!I! zekw@Nh@rL0>-C=Oh{tS_ETNf8eMQBi_KTr0{O+4Kr@aP=6(5{1Tx{M##ft*&NhZJq zzDb{Vy2!T|z-7qy;|I1V@VtSgBONF^u*vsa7byqaCF9>yr6#M_wMzJRIMK)#4xHwO zPPlB|Q0c}~1#Bm#lTR3OU_#cET9{A(-Q8~0_^VMCPg5$1d`@SddDxJ=Xr@s}en)O#EZ<}B6U{`j_f|26e| zx|%a}-Td&j>fjaCSe%0e;Qx)!ZYvI7D>ENW!-eXbpWap;y`mh$WX@cY-ulcsl-2rB zb*(*_skrr}(*zB*xjbJy(b)cV35TPSPT}wzC0MZZb)Rsc6>ygM(3F8U2k24ql9`Xw zNoqMPGau0K5mQEvSbkR;o9vjsq^=(bqqH1Sz2p^ztZAvpGZaNsP2Ji9de;hGWUJ>N zcK!CtoUxla-+T=b>)-yhH*eZX(69kkjGH9B7Ggd+fb%jgFGKP&8m}_LU4VEQgV!?w zh7G)0M`exr|MSPA|7&TJFqn`h@x@J%&iJ-Mt<{5p!t;9Pao^aSMH&_;OoF0Gnp9qth@O#Pc z!Ux7t!PdFu0MTR4Y@Fo=At;wwL;YEb{})nN#sU1C;U$EJlpaT+t3KbFA#=?2F`o`m z{MR$%j>f22W6G+v0e$r~e{uWar>#|%KQI*F>tZdcmVf-$VU~RE&cR2Jxob2L4 z+iem7rpp=A`WEByi-}{D$_XQhR|}Pi+RX?-dY#EaXDErOq-#7eOl4jbN!i;fx5*rC zh61OHl(F?+fBVfF;|9eJRENB%gvI!z>5z&uO79hQyi;&8fFsqqpl#89_q{v3a2<*+ zZ@_t{fKAiT39D!UDhwpX_q0*bakH!rS)Fkjm#oQkwOa9Q8%$0-9^rNFSW!ljB#iqc zpt&>}gUF}yk^#)#CnjYS4>?9bsA5s(tE$^%_Tj8))>Yu_puWD==y{;w#LMLgbl9Si z8g3|F1Or}Fy6RA!PJOoNpibc(onL1oJiCJUmC|H~4K74*b{i7HLrNMXRjt;!(dE&x zuTK*CI157+bvQ@_8O#@<4Tw%0+t!CFE2f?i71YAL3dHa6>#`L=1w!e$AY{n*;wdgn ztPni2hrSTr*p4B6&4@E#8K>_-c!8(4Awdv^T*|=mRhE+q?m0>__I~6#rei&I>^jWk zgFa;ien&vS+@-XszMN?sGVhzh^D0jR3gq1%{~YJUViSlP!agH3{mYYIbO0E z0ugsNwb0vP5Eu(*Rvv{nU=HiyV~V_Do5J+?ob$r0H1!5A@(1dT#t_9>$w0|AQ-2{# zb7!6g8O+K`2MEZSS^;dq^SKc1VhS0n&7EoFRy2+6Ny;8oviDP%cj~S>uJmCc;xXmf zyxkT($>(gQN@Bxqmh{#@k)8)>Fw)OeUv;-U60T|d8sEQt25LwesQZe(MkV3@-May* za>XH#+m?+RG9H*kuQ4XUnbG^%Iml)VSfgh8`Fnd?s7-gsl#4BiZvbG((|QgcMBD~2 z#~44heJ_z-keT6JsMV!m&WZtRNoT^omkOV;AH zq0sQb1eqq{<;J>gvSzQl(l&fJkx)eE&AvL>MTZyAX@(OY;`er5Dj~CC1XT}*1yjW^ znOD&ts@R;m8WlXip{Zb|XAVj*t!gr^-ZIe`VihKt>$(^yvL5v!1Z3XC{!2~VbS1Yh z2U4vvlQH(cvIS;YX6v=yWJg-fIP|WPPDJ>ME-T9Q6Pxva{`M3}cuw8$mC=O1e*;gL zHmmV!FYMimREkj^CF+#3OTGQhbMD4JBDnkw7`~s`!?Wjmdq@*ddd;vz;GphSbY5mo zfW}TeI$p^&sb~39Pqb*_kE0UyK1*N7i2-d(IuMm`W}sDBaA)DQ2j^Z6UEmp%;w?;G zjwm;8>i0I_=O*}?AD~2E0^bPzg$xnQrd78-Fmc@rg-OQ7dEZ0ehA%ci9HgOn;iMu> zUrybrN0N%sMo}~rD}Jfjk-y0`dNJ3;rL&c1sGs~PhNT+}PnxvpV;rX@&q;s6yJyxE zrc_iYuo}=DLzk1in=`x|?hi8#S;|UUcbvcz2xrPW1~Z9ZZx?pCEo7e`BjbjZlP2%h znmZ+O#8si2Lv~TcO7*U<^f}I1r6q9Gh;u9Hd@R1n)Ro5qG;$Egj;B4D5j4)1X$=ta zmaGZ2UeN*!Dj;oEC7wJ>iIS{Ay+_Cc98vgA>$u_=9T95IdTq^}10QmPGi)S12fa|L zWg-(-+UO2!tMw$^|Mn}(i^qSC?-#Ew`+CbU;L8)gp55^2$xWSH!}WK1<{Qskk_^{) z{zMsH*i5hPyy1#YuHrntd=L12Dqyh9z^aN19mm!-7T`wx68^H9j-MvYhcu%0O21~t zf4;SJdos{@Xi8hcGaF1XI(7Z?@!jlpt^Y=PFz7pMD_3iiZ~NO^Nnl~8<(Si=nj{+j z%hx80FNP~zxs_Xd+utmkOOM&No*7`xc5>e`q;UH?>Hd;#Am!>)lt=l$q(olU2^dVv zOgM`hm&~rYIu=afgb!D#VCA~(O$I`GHZ!SQ4M*(#Klq8&<}K{J;c@5sM%rSZrcoZTVZm{?~)dy07 z8yD-n>j*WYZ)6fF9_17bW+Fba;Y)~yHUXBdkURRZkxNC6GK+gTsuvw^+3A~>THt~d z`iW&3M3v4Vf~B4IbxV55m<|YZTr5l=5A9g!d)K(=c_QaKLs8RSFnOU5Olk3WXfRVv zX=A7Fy<6=m@7s>6{8Xf*pt0KvxdWhZAC4$>!yT2#czq$`VVw9QLTra~g)4^>y!|^O zVzTK6h!;)}me=}`wym)X(m*`%j2Km^A0l3abH!PA@PNb7iN>NFgM1_64~6STh?h*= z()&Q+v>ziP77VS|j}Z=Jng#9hs82}36A4qLesC-u!}>ulb0s!nVPC#CfZgC}I37R- z2Kmv^eQ;;Dyu>`L()nc0QMavgn)$^=G5o1sZMwqNPx%w2KOFR4(aDG5HT5djOmmZK z%Zmpu5IOGHef;5tql%`;wDvpk_&^ukP3}qhhg`D9ieB-cKm8@?KkBZ|+q`QmvR`{2 zldqTs6la2YLwyJz=o()3_6ih0T{Gq})FzpGY<$K1fCd1>D=L1ryPVoy?LU%R4>BLk zalOYpl2sWbSGtA~oLwxKGBEIWh)JGc<;I@<8+H`a5B@E7?SGAiyr;0Uc^=&8ab*W{ zn3RKoWfAcgr6TnkAcbHhkPj6@o%<{gSG%I8C!b5lL&i}!N=FJOz?2bX12HmyUj!p; zAbx7D#p&Lapgpv6L69)__O9jqQ z^-#)jLjmwQv9|!$XW4erVq-C)YXymbN*&i_SF{)P1YE?`Ia8BLhhyPA62+G7$00;F zAor{)0H`c74u^Jghh|?&w`3eO`SH|TH~ZM#q5O73{KUhJ&QrAIv^N!aL&ei81%Crp zDZqBHBw_ucLz(e}f4roV19pUoA}ff`^rC^v-ZY-BWSfcIBTykuyf+tV2lKBO6NOmNL_ZS#j*(XPkk zcHP&?J(2p0-!^F7o4f%Y3Qm`|Lavb*IMHo~3-sN1NCkT!$L=Y{0g*GXVWsmMC0vb{Q}rt1YVm|I3QfCH*j-h$O?p(;5x9+AV3&@ z0{vdEA7t3BVo*AG8|^g1NvfvK>0k$1(EyL2I1O{yh6OiOIz|G*rzA6Qx0@)B;OdI^ zN>LtiVn+cg#V+$Ns4<7MbWlpuF|A8yHk$LHOn2Hvr~zvep)1>j3X(vWZ#W)?MVMC_ z+rxU8XhQ}8NLOa569q!+V}%fVV7i?2f!Y$_-9Vl9(^=va1la}zZl&@1TAfGbE*$`) zS$eqp(np9m14HWyhvLh;0(hE?<`wukP4oT@xvn&P0*b za)ByGd&fQ;Y54B#cYI0e*~ioVj?$k1)RAp0_dY6m)^>ISL+1Py(^BaIw@F$d_&Bl~ zWqJ3`G=2C|`t;trnLHSh^W!#SR+$`}`*11}iAef#4(`q5ujUYlNIWgnbq>tddn3!F zuhc^R*>c~eNLODE=-QIbj9s+(s$3EHvyrS~LdpcP^JpbhJ=f7k>EX+xV*HIg>3S{3-04oWXIytG#V}^-rLM2ZZU1_tjy5|$GZ;` zlX3cL#@xyy=Hsh>I!jqz~#d0NG*Zs&O#qB4^GV8GF9Zp^TWDhf+b1Qu-Z%A*EK z)Zyp9y?Xw#yl5Wb?n|T8)M^k0jAS|&o_fE-34&eLhVkYt6i^2R_q4;^?Bm<>i&5_L z4c3)ow!v}JL&FBqOiBFuM7vfJeDIxn+VQ4JW{&)GEsIsc7Q$WsgCE~Vf$9-Hz39ba zcsCWq03mfo1uri)rUX)YBONfVrawr#FIV8)Tl63#UZO=b%$tZ;BwWB*gHr@eI(~QB z0u1&2fWyj@55rrX*C4?TCP5dLaT|!$Q&wVMrfFX*=Yy;IivWu!QmUG#?2t9vjE*9Y zda@vojrqYJg?L#BfinghGaC*IG%ps308sG!Q=H5;RlS`Q+u)WuQf_(ob&X7-c3IJ6 zhaBLDCaR-?^FFsWN#jBnpIR z+|H^wXB&7v&qXE+NkWyT#c`#0=x|35O*}*zI%8jyRek2k;3@?2+Hc9$oQ#OS^sO0+ z61-jTdM{XDJve5MiwVpmj}CemoY7n_!Aa8Anhay+*9Vt1W%C&VMa5y zb!Klc15-+2?iDjoA2aknP~ik{$olb{<=bGgcoD=8|HW6g&s{t`ES&1iS3cg=rY~** zrx%g_y={Dlb8kFg_=B&!ClTQ09pK;ZJsgH;|Am)>aa0IhHN}n*uMG~=Gw*l&#?M5X zk%hRvF-$ja3N4K#P8yOjmXyAVhYMs}I-S{k4CTGTnIsHU!rMIUz=h3kL^-Gtg+EYI zCXzCQnLWE&rERXy-Zg1cNgJtU5VJ`ulvonB>PXrcv3`Qt$Q<$j4Cz`)>dMo8pOoyd z_*Mh>lGK|d<+qk4x*~_@m`59bOdK&c>5Wz}rS&B$h?63l{zh8RvpAJ!QhAb!{tPE` z#O~h?GL#^i6u_7CKAePa4})nL0!hsTx;Khz2H=o1wnFR88;RaB@Bux?ICBo?+uU4q zo8Z~Sr$=0a;<9M@g*eeM$m8-W8gkpLvbO?@tB=-6$)#OoKjsbK3d{V)CwL2HmaJ^^ z;_ra(KpgG^zoUF+gQZ|qm1LS~;K3bmjO-41dH4!{0g=K!<(k&NLrzO(srgBWwC7EQ z4zS!6?pRKHzI~(}^BYy}DZr+dz!u+eOT4O2nvK^{U4Mdh|HUSIwMwsL^I{(aS2dYu zG5_mpWf9VLx4D27u3R59$$#@%L<%3#Cp4Z@c!s{(NFXeRIQjPO!6@kbhK z`R&)r1XstvM54_d?>4`L98z4F;daU134fMTC5rB=$p>K zQ@bwTRKOjegXby#=5z2rX_5T~G75~6b$3Y!EGp%q7Z|*~0Ks#(FV# zFyVsynz4V__eSW``*bc$9k{=3Di{T&LEQnXXKt9*ISQdq9^axqXM~@K-8T&8)=GWf5d8~@=nAsnwm6|S7{F9MIINSmV zrDQXfFxOQB#68gbG%bzj4+aSUH-HoHtJr5mj)B$~Ku#Xh@*crd-v+kNkO2%@5n3wOVbRS&4 z)ib5}Y>xA%1emVri_vs=(ZrPi9taznR3F#|8le`sB5<2I(?1yqN_D+rWV|{9bM6K* z@S9`59e~jR+2w5m^~X&9>dJyP8oYQ{H4_Ka8d8Bu2dU-+Go)b*$fneXOx%%a6mR*a zgpwopa!9Xj)+`-V;#z`n;E_(kJE#(p)&pC?!3K#AKi>gw@C&3%aCs@-Ml=)!%K;_n z;B!J6X$&06jHQuSuzAY<+Tvvm@zgMZ3%Z&S_dvl6k`8uiqn2Zz=?s90Hsm4b3Xlq4 zI|2ygsJVk18gIvKv*IM4fHJu*-{OA;j8&72bQaYb?8}H01^WQ|FK@f@z>)!;50F-R zj^hkq{bfw63+ku6J{Ea{0Y}NHQTYYLBp07Wrf(2>8XgiZ+&WFF6>_U&^weD`_fy9; z_*HO`k8k;wg5?-n%D})FA1389j3T0UcGR&Iu=98O7MRIA`VgOp+dyQ+-X@gfEoKo7 z{e4zfWVPEuaf3UrzM1#g1)feafCY1B=o!{#Mgh{UD&4AmmjR--K2`F3%7T7>Ef2Iq zB)`Brc%@gD-tC<#TI-Ax!!=tLAPh(D^tX)+$i+x82s^UoxjpC#6-laAWNkke?Hww2 zE_v)_vvK2LUI$~2+bk;>5Z-2@?zcQ2%$9(A8k)`!^6*$P2)&~U*>CIYjt0Rao;{8i zsUG(t-uEE`SKi@vm83w!SeY_X7r^;~f!oQtI<*y-Es(n_!NZ*hn`S@4Kdfwviy<`0 zj}VH~)Dw(bu>yv#Jz#m39K5y$@<~4$y$`Vpdr%%O+@5x}rUhdiRs^b{5TI$h%+6@P z&xRIEu&|Dzv@+A&=lY{=5>(9>AxI1dfJx%pWwYPa8U0<}EenaO&1fQyhNm{q(BahW z8RDyGm3hmaA362|+<~zqE+2dR9y2Xh;6AZ&V54qb4hv6U>-gT#A0>UxlV(2U*Z??8 za@--R3p9XCGy9p1(!$&G;)qvQEeFIoyVTg9zB9c zO$sJpQ@HyZc1x^xlZ`U8pZ|N(b-+E;wxb@PCdCyw-YRX-W>IHY-~G;;H@aALM>?+* zw0+5DtqQ%$I9TrpQVNtG*XWpjL;Mc@viK{TA?a}$#_K)DQ2O%p`(7Ls_L<(CFqG^K z&J^G++!k0V)*G9qLk?aC1qQ~0-Pu%6Ch~0H$43VUFjm(uS))|z zj*bOeES12vZ+Hb;=KiSoiAS>en)xCxGQsI!YvaNKSGP0>t7F&jS6%se2Ode<5FeMd zpJtyda+~GR|T7(|&EgI~+|=8{*wg2#7>PocYy> z#$WqS0q}cg^;&3_(^=g0q9D9afS2gH4mMCXa#A=pIiAbhE{T(b=}an7Y3ihSmUffW z3w%%-u>Vx(I{^qRz@a*m0Bb}TM@+uxdJbg;f3i4o9beIc5X7-c(uDqFkv+VVBW$+8 zH94;TtGdoN6|Fys59X7EHf+cD6IyHo*YjiAQQRN}7mf=IYCpA@VW>0_hs-9aRTR)5 zaPJdZ;Hbu4NdJ1NYF!%hWD6TN4Rc+Mg<&_Ex+Z?syU$+WwnC~C zu+MGUQ*2sJ*fp)_ng+}J!}E_cjobS9%aS!4z@Y4lmdR5FSpga%-KBPqZzxdphNx zcnjDwF|0HU6W5KDQ=={+?4$-jui$J+EwIk@5O>XdDSA`cAVeht=1E0w9rgJ9Bl?uu z2ViundcuP*9zU~uRZ%D4>`LQzjW#?2nbkA}`-1NC-SbcNu|l+2cB08m1)@^w;z$j` z7zx#URO0aoSR|3dFcs$1S((^ySD<7`+Hh$R>OK`&CVIx}$yg057E)X45)b zQSmC;8uPkBhPe67vklpdE8O{Owa!<%B2zG@?NS%kDcj&03Le0;wB;t00Pk(O*dm)X z7f5soJ;gEKQKo1CPzP_Smm1~N@de4L&@}D2H|dxGlZZPo#}3r?#aXYJhl>hCeYb{E z1Q`JK7z^tYP0c4X8kgaL`kLB@bk$eYX+V_y{H0`fArpnlQsOBMH>(v7XqlnZ4K-#b z$~*`ybeZu6!inb}Q7Ld$|G;$Luw2`0=%Yk^-f={5hhDiZ6Rn-_1bF^2bq?Hz>0o%w zxVZ|mR_vG{io=bUNgiHHnueE3i`&p+g*U(?c6f7pJy5R=4 zQkT4eEzC2jRWL?T>adseqtGGZ%O$%Ico&PTu zAWMUrirJmAFTi)jtKQ(a5}F8f+Kdo{k4au{j2l2|U+M{0rlD2zLqk(7RIMz48)dlD z7*TlqLX=LbFar=l#vUhYvXHBCk_Q4Vk&t#gOkCWxihs#^uTMvPTYE${_vIExs2?z$ zPI1P|2{L=gD7jsmL~3I|H1Hl*13ZMi116dHlFZb>3z&e620d+r)X=777v0jg zF)d36uJ;l55+^V;UTYqhd1-7IuHq)&(0TZ#>cq5Zbtp8@TP*!6G}1A|FTy*Cy|dt11UKTaVAc?kzBqq$!Rdg zoE#{PH2C-^K9O?6QB0B;L3qx%);>RUaOAwoM!qmXA@GqHR%6eMshkoUF3k-W4 zAp-%hIJ#DKsyZ4Dx4NzWYN)eI9dV+a^sGOs9CuDWoeS#xWsx08255}QR|a06WSq|tB(t*9hrGQtl*TWO46NVK`n$B93Oh!c0K8YtW!-0*{kxJCqriI2W+IX;tJj{N~5+VQPfNb5%xd(H>4O!u^%<>dhZ z5!<{J*V$m=H62<~&LYzr+?>(q1%hLaDwT%{`ZA-BuNGe@s27a|O$YK+Q^xghw#Qma z$9vKWrcADW@*#+ac=h-8BC>Icp6*(@$w#fn{HddQmDR2zaZ>qkGAh##F5XdU0d4BN zfW2@YI}lppUuTTgLGLDm8G0aFkLf+TM)z9%=*8+!`YEzZnASoso#&5KY1}Pmd5t!} zGZ?pQ{2_3AZ^C60xIId^o2G%qyg}Kh^cxvh|MGXtE3Y^$PjIv(W|R+t11m^8i+?cA z-hh*EBeEf=@z|6`m}kxBtdm|3v>;w^L)cRhfD;BPGFzxAFIUnua2Ijkq99OF>P5W& zvr}Wm1oIjr&YbmTWk_yoiBuHBOJ4#?w(D!bXgV5uu~bE2;D5a4{tQ!pXgE)W;P9l= z<(f)em1|PNFYi-ZeZ00ep&G0M zlpfwkYfn?)hA_z`Uf>SofIU9qQo60kz@c^muE*6+%izVT*iHS#4{P@=6Q9fH#c4<` zaP)vS3p_vkYjEm}r@wt(8{|6s9pu4sEH27;C9hTu9RX?WQLdMOa@u$9@z?{R>o5UH z9>|Tsic9Mc?Kr^V$jT?i%c2u1NyYb$k@dplK2T|z+V8wOi{U%~!g#3Gdr9ki$N`a5 zoYtcq4Lqz7D3O~S4CR_k=#r*)mm^k~Q^%Y-qSRsR*zZzsAwTdVIc@?o#9o)27{v&= z7~wt0v?;LB08HP(!@__Y6&>y7tDHDlPaqg_Y{O#M0CfAsLJ)EancPrz@ z4L55qc6%=qN#IHX&v>x=w0L{d@4e~wapETiU9?95Wxw@;k!i*D@FFre#0$iv3C1)+ zz~sfgXJA5ysGwtJoY*~qne*M$l=`;nH!5wBZMv8y< z9WYVphGyppq0Th#N&w^JMaw3j`E?CaBtX43nZPU1f(yPW4R{!u1>dJVZVhVd9u$PS zmUd)$q6CT(2<8Fh!!Mr>pn$%Dv?tQ;C>_tFc|Cw{A5fAIrw^!uFfYqoP8w?tfJ^g%?=1IZf7CS{^^euM=J0zr^?VY?W1-PCNoc>@+|luZPs7<} zsndrG6)--iKzsK00WRoVxgX4x-;#Jemq6|D>&6Cj5QEUXn!zG5>yE;E?|VS>#ND#Z zH+=8vJKGQLlkY9Fi`4^6Xruvt?_tqa$)c@hXm-bGt;t;Y2?9nVgTx3r3yGp*O&X;s5WPHQD{SM1vo9!O5 zVsl4Fs1>Q{ziO%jyn3j6*L!=oa5THkfLd&x?-P1!VB;A0Vdw?n|-*{hX)`S z1mXDURA`&!RU~j+kwhmwjrQ`LCot0kMw`_c-A{8j&?^nZZQpZw(>1e5yPe2ps@v zG=?o+2qD`&C=Ml9x6Ys7a|?VgLy*CrU!#qY#hTdvwK5VJU(W zF=7EaA4bYYdLi$Vp{kaUn7!A)cwB4E{oNwCicrKD=X1qE?raPr!$Q~`iREAYqIO%%`$t()`s8)``O&9^@?( z{J>QjfA;hBsR}d0bV9)}VI@j{_(@Q8VII*~Z;xcIzW7_BmYHUTp8b{@pik zs;-6OqFQ2jHeJ2d>*ckARd>8ZeP(wj0yjb#p+Gd8yNm~kK_OxN^1g0wx)yFL+HUdyRzRu0;!zuNO$Ho`??{3% z3217fPK&?8yJaP%j(Aiz+2e!e`3FGj>=>|US^%uC&p)(x`|K!h%F8Yqp9GjJCfFbt6#(W ztrTBuZBT@AQ~0(z9uXf&6LV9|y4Jgz+HS9~7M~xg2dxa%qM284`=;9b{7YTZIb+bt z<(?IDP&_mQK(A5VY*#OPPp)+7^RD0vw`e(ghAd36XH-V6&z@yfv(Q>syXPNrb>{On zxUtqb)?fS1n>Pr8Td=wq(|o+pwcHsui1BM*h6bK(S3>uqG)-b_N^#<*y^QfmIg!PO zpd8>k6(Z-mbW~4$&zcgE^h{X+qgv9QCH@@`8onkh>dCXPhz3I+_`MuldNw(&((pE- zfnJXpCZH#CK!Vjvjdc?Ob~rzrC}Vymv4cdA)MF>`94i{7;$Er`WdtHm$r*7Np<{{{ zk3%FF8?na_A&ZDHUkckdLV@cfRx;LUDBX=H%d-H)40!<*ezEXFutyuu^w4UrmYB5>%7@Lp5B``3-JYdZ-1?CC%isAbpw>cj#XiP#>b?O@9Rb@}K&l;}495VM4#*@- z9Kp7x`2Yy{1b;Hl$;;i;n_5pZkZB#ZqsLpvSejr$@%HdSyo3^;e1r$F|$ z|M)kvhl5uAvp?f9&&m!^Yexahk;U3jkwm6!UmwW7{D2F}6 z%SgDH5SnzW@*^U)e_IcHg)VsYsc%DiPsiMqg3o{T&716$H*_d7x6nBHY?#zFJ5k4E zUCp*I873zhiFQ@n29;Ot19{Tfb@q7&yM04z6r4Q~VMnbB1Av4rlLI^~f&m(oJvO&n zI?kV|(M}ndC|6YY$DA~>=ObpL+H@uSPgWX>I-MV1Qg%S;X%J^6&HuAv;#K+GeoNgM z-qOX!@(DDo_5Xx7NCRNr}{B4>FHFDEOQ;xF$y^ z+Fl>k7Vd1>x?}Iq7%gJITXg_cBfIaBnqKm{Qpi+uh*fkTQ{!?}N18663@AFd&v!z1BWkCG{&joa6+;%`6!{cH zvIq>K-pg9JtRjMh zO`eR3Y)B@u+IV3%UHzCpYC7s1Wc;WXn)yom3Zp%O{fV)MO8orT! zZMY<3RJWM{x@B+f0WPGXB?0`qUB(~=ZAZ&ZS)IS~biK++icWhiFEbYbBu{{6aR9BQ za&M3H7uOqj6HM>tF)~5F{9v#04ZDTI$}L-4xNVA~{f>;7%OP*?%+Oi(`U@R%BO`{< zKWFeE0^s`Tq(3%K1@K{^2A8-ktpF7r#1L#orbUC(T5~s+0V%y}6$7cH5gA}iu4z3{|J0z};>6(4rgk*b6hUsWA>rhw_0+d&+5c;M0D5%; zE)`(Pv!DM?erWa2e+TA+Mw`$flgo!%Az9*DWHjkkV`W6d$~FVS%DJS2Q(}sMSRRII z1p7=XwNf!lC)WS@E7G}&4xzh>;T0(5j*&O`LZI5x;KaK(0;U;phCX?uZZ6kkrDuH3 zr-kA&e5X(BhlZ;+5}7Z`8Rw5_NJ z8`_l)*fUD~$G@5X@qg5p#Y>i29yAI({lYrYDH2ZNc+8>i>g)-@Z6&{&&__d&_)$)D zq0YM5(Yi`gVUyQ%h6dmf)v!-uY1+VOniSbl$$hqcB8A6nzsZNvrK3h_L0CRCY-z?# zzp)VXWq)2B>Abgxv)zXFVbVuk@s#Uq(qt)K0gZ>Frqa{)SJkWR0B45DmlhU-16w!n zfp}zQsi%TUI}}WC7ev*fVcD5e^k9wCV6G7Jhl9z;j4(P}Z%C=Q*0e;`E#}ksg>}?; z%qqvK(SXq#ns?cLXe58sV;Tt!xkH35S}Gp3O`3e(oI?|N!KiFm_o*g48f0wjt0$U~ zhsr)s?H>O4Hv#iC46Q*GhQkJZG5K&D;#b4B*TAo-vV`AifDkB1!l5$ix{+=&0D1w_ z;(NSC;hBTR5PUT{uN6BcaI$AUOFRTsF#u&o@k(gjGrycPz+moRP4h;D4 zt@TMWpgVi@GQt9iL8n1$1!5ug3@UJ`biw>!to9R~W!7{;N?q6P;Rb=IyY@5X`w8sY z51ywS=L1=Fyw|EDYi(j3AX@fNfKbXjeX=@zC#1UWt!Vh?XrtD0|%s|53!~TongeV?g z@KqDnLdWsN1&yODMt1iKK-v?jt`WrpKlE_D*Xat*EuP$VQ$q+64rq& zmYIL?KPFaP;+X3mwY(=69(ja~{1zGp*%9k}SzeKm!V2@S-+xHuUgDuUv!4t}H~GXf zj=uhcHC3FJgMmTSHzB@4TkJX$_F@Cv&3Emh&+6%S`9c969)I@dOMlMTiB*ZP2J?S? z^N@@l1Z04Z{G#A1pOYj-K-Pw&3~ZU^S8! zZG7+>ye(>~Y5o~1-0-B(hAjD|>dtdLL&Q{I!lV2N!p)+lhQRq98QpEWqeIu-M>@(g zxlj6u9p*kF=FV3XmYd9EW`&>qbcQ)MpW(tM5Dc@r=RlBeQ;CH4C4^kS6=V6#<$vUT zPcT2Ph?5iAcp~8PcnCJ}z)4HCB*@-8(6y=1Cv#5)KCtjzmwlh%ZU+Y1G`0TGcW;N4 za0Tb+rLMYAmRZ&_4y-PSr+UY4n|CT?R^N007#$J^T*n5OZaJNVTl-zg53ORdjuLP# z2E5o8TwPZI*@Y~9d6;%g@?gM74Tj{AiLjtFGa0v+aYy{sUWToGN_VFUcyf_6ikbEj zUM~@;Hs{C7RBC~?L6i#n6_~_+pE&Ll3(-M=JGplPNk|P8IkUtGhjC{^g(H;V4(BR% zj%9X?UMT2=(uojzlB@HjMCsY7rcWLYJq8~3JuctYCJ@L`D@4HolVixjoy)irnS}8s z)^&cwlK9Rwxp;F4Zz3Tu1cy3ni|TB@3yg$6mk9cn690*JE)54dUN^b8Yy`bTG)RQK zgw&$%wa^R>NgfZ$qiI**K{VU8rjt2&Fi##&YQUpX>0OuCwP_`{mq-SQWYJ3Qyv{T@ zqHr#eP9$W2%)0{36um6M5;n~eys zPd}^_w7T}`r7fA!g!$Uv`BGmFG#Mp8WsJ}&Ubtlg98ChUpgEX`Kpz?{fyzid{IIbyt5SwXdF6|M>1ojL#}HFv7p zt}*v%7yA$ZXavxWaBC7~rlpq_Hcrz|fE_;KIjVd~V?svQr)d;Mn--vvdIjKSMkZk> zymwux%lue%y=G7dxgpuGO4?I%?0ZGF@on8Q${T&e;~AnNnr>xSLUHz}^FuaOoqoDz z*Nj(C($X+2@osQ{$85p4RgBWvptSCXFd066S?7dk>4CAPSJhrPe`aOgF=iLPzpVGw zA(O%0K1wjfnG@|~ELy}&Z0c^^$Te|R6QDNgp8H6d{9@W>eJS{1A&5NRLeR-mrX|wun-aO|s5N2@ zJeFSc^we)IMVLba%rZ01)*Eohtv9ys2iBka_B8CBA0&FGA&F|YfNqUQ|4PvW8(2zv zzCkLy;TQjUOzn*!AkFFDyoN$pL80)FbF4K0{@=f9xDXk zy7exf>+1=;X~PW-bHq^>8*q^vb810b_nHED*{!lw)>gEd!kIFEtQf_vs=KikZe+#1 zcL9}cchJX^${Asb6)HO1?6Vr3gVU##3@)y?eyK}5a@xBJx0kOpMr{4lZzF7nme(=tL+7;wS9J|zmG0ojg1H5_%~Mum z4b3({k#4(HCgAJG3oQ$4po*3o>oYZpMxu?NIPGcirDgXs^%;#Z*BfXA4Ddt-kY)sF z7}WNoh7+azPN2nG^XSDW)s1~e`{u=ds>+QPeC{J0ud5OsCGTkGp|-hG0APXF zkMUtt7l6Q7FrLLNoFye9kVX^jJ|(JG?f(K^=HY{Q$H)+HplKP@kDvbc`H4n7gZ&Rm z>gONl&GU~+5F4EKWU4Xp@PYPXpsBC0S^y}9qg>IR?DPj`Osc~Q?Mf%6>Hy?#cr8_1 z3z2Bk40yYxGcr&vXzOkn0^H7}mYF`l$rp{u_~>{jI_MlMk>Rqc+YaxU06Olwa+NU< z9SNKG$o8B|^JTi;@XbCGMD7F$1S5<3004CZstuiQfj7h$>s48x{#3NL4V|NCJo3W< z>7&yRZo(7~jj}pktbd^gq5vK*=mHrpN1ypYSN@=-sp~0FEcO&-S6CNb#q71quJ!_( zLjNGjqbjNE%8Hf-_V~-#*J7*7tcROf;}gc776_h>aicx^e86%GS5NvsvJ!WEcyZ(H ziL@uLX&-@M78zvd7z9sH1{OQPvzPLuHlbAMQ*s#)SgJ>WgPO7jA^05{3oXJ8VsgQw z)RjgP2+d9yFPGY=_MJpji#suU!m=|myV0_9cl-(2yxR0ZDp|PS?wQ!lipE$ZVz~C0 zFiIS3F>EY$4Wn~a@WFNO*{&xwS+ln{IZXtuXw%56Q;v`|4rDM?vK)*MSs1f>0HK2! z!%adOPDhTVvs+MKOoZw1@yH=4PoT7`vs1S!^0f(S@GPH;fvDQ-1kyX*fHgf#?h}_L zZczd@cBhL2BBVb9dMsH&kF<+|vs^Dpt<`XmV4cVWq@@U+{NcUhQ|V|0Lof^(CFM$A zvQf#DjakssX_uVK2d~NBVjUMfUb@f|zNY7;$|TkUE%OBv+0<}`@$P{%qHB2n*gyaB zRJG4v(zykwy7NXJcJe95@OZrPt-ti$H*d;{wlRr}lwe5l%sA5q&>{!`oEZpoLxgAz zk0b<Pg52Mw$f&`32djuoO{4O(Q zGCr>9_;N&$@t}&1&A1z&vvWfuKj%2N8zCV^bztFYnP&7E4l|owHZLu+IM8Tfvzg8m z^hNb{Q(T?UI7jUlZJDuQ2QySL9(aboU*(|!X+B{EDA-N%tYi$Ce)N2aXZ?DMSH zOw1!^rac0KaEvRr*2alcccYIqt<3Z06+m4&LSr9YhMO3LF<6FyaY*YEH78jDv|$S0m6F(g#w%c4^1+y6K zDTs~Po1z8;GM(R6bdGN4Z8L9h%4a?nEAVpDxwph{8lq8Vt>rpQi|j6%i<1BYsn+?< ze#)D}Y=*+qjLuhVKU@XX7{xAgD0_;7SL}k0(U;c>KS5gD!2kR)yAHiEnmuM*#+_%j z#aVA?=vUi(miJX?j#2G1Lvz5u9T$cfxmr`^(~^!}B~^}$*sI7LqcX7monId625o|6 zk1#=pU!|KvO`9Q|LO0pIYYzH^Y3-)eU>OZ-GPJKmfJ8xS;Q)7mwC1x}+AKe0g6c8+ zHbP`jKM$YIr0_d!Otg{0Eo50NI$zQ$?D>x_`dVmPRQ2;8P2fE|^U-xu{LpiVH~j%Hhh} zi$E$ORCPweHxhyz&V!!;TiAzyBw`mJOyNW#FcQY6prI{zC70wemC5n^z@$$k{qWS{ ziXQ{W?htdr4}+A2ANwI2f1}9oP$oC5L#0EcjzhTL-`2o8pZ`Y1}6 z?rjuEXYUTw$W^rwEFV{{?!7pq-9R`MjSOSlh)^)X%w;qy*=N76jF-5y@3Exs7)f`K zluP{4v7P$`QlaNXM#?o(-t1*jo+35h9!ck*Eoh|(6;s6zV*b$Dj=ar*@Zlom!{Bgcd#{&l)5540% zaqJkm*!pk3Jvd*2KBKKW#&4ln+X#8+_sIZiIl^sM=Nro)m@)GM9gn(3fcG~FWJ(_# z=YtPGQ`hQG5VT2PrJ^=IBFS&qWNxX*0#Ob&H9FwX(UGzSN+YR4vN%H6q0L30BS6t@ zsz;z@G&EVac|`;JmGq&t;po17SHMRUA*ET_mofG!Wo%N?N{36Zh7QkY<2}qEKrrnx z*n+fTTEe!$j2b`qnQ(s~KT4wwg@&Sq7N`l^E$oU}d(bkl;m;8pqzgs!P7s3d99rYD ziw?|r!yr|3#)gMNuQaic1_8?*gVb`SE>2-&+48M3?Yj037T!f=dRG9)43TU40Kk2T zlEO{)0~mozI?a_EzJ6Yz>+mviBAYrHGo%RzkQbBUDrF3U9Xi-Ea~K^V(QeelO;$fv zKtb7o6jJKZ*WM>%so0W@wr!PX(OGE?o(b-ZWv4h}Ibtpc%&LM%FBKaT^hH1 zSH}+(!*901kHy6ue>41MzL8rz#AgUb7!OpKz|>y%F1$7{V`?Bnm zM-x1r0IIub99i4EeX6Sqr=^LP((<|2XO51er1wDCNlBh2su=csYvww^wI*<<040&W zy(djkdZz^4Zc-ppNIOeP>%f_>1$aVwUJwUMZS?PfOm7-uK36cM-DsjHx%YUBO5vqy)AVixrebYz;)F|WxaNV` zh)c5wh)1*oWq8@ysgPSdpidsR1&*u-TJaG2y-py@O5Yo7xTT0)CV7Ds^?NZPL#s(KadWX?FS zejk1=9s$-NE5Nr)Dk_+2b8*AWG9rvdDzDBxsSB_RB}$MvwLe~qP@O;`547IQ%0Qnf zLHI9~n$e;@6F`!p>hgw>94uYZI4=SHR2^ud-jp3_Ww_3UjfU0+cww<19l~GA)e$@j zI*bfFFcML?1~oKk$gi79C}i;LDedg3a&6k_Kko_7K`@B@P8J6&BXhv%a0G@kl;Yy8 zj2Az?1w&8{BW+AksG}<>KK#BQ)dNc>H@+8h<(9TyD!n1)-;|nxSi3is1}`Y{Mttn+ z1mgd4E4Km1I=uOH^it8Sf8{%4ko|Be3gk{&7;y22bt^~#v(AC@-?#ZgS}Jlr$uT%P zz-T~bM`tL@(0(H{&Mxw8#;!q=Yrvof<_hl<+ClyMkaVUhrB#WJX4V!QSQ}E-9P+8N z!YJjllt)sDq7~K0gY*tGtL?tdvOyy0C4&0^POG$1ejgw=_i%T0E!KyAb!gBQFiAJ=Q#2agwVUa!Nas*?S7A22R&bWbZu?9t+r zA&Tk-W|@B#WjS@c%B*YU7S%k z1m-cfJZeM-`^e*#2aQaIh^%rV7msod7>amc1yn~eRiY39Yug+=lUGPGknmVSatiJv z4@5hEu3x#tVad2KE&P@Y)>xVZs$OgHHpo=ZAZx!fl+}2-g{!QWCf4-2{UtGjb^6J2 zNBu?4$8~lI*Z%=2ZmRLIy9nP%aJGvfKe+Ce>JtHCWaRrzI@Op>RLdk<1cws0ts!% zf6J>Ajudo4_sL>(AZ9pW4i$LDpa!2UJeUR*e}xu3tQqR|jhkFz_S+Kxdvgi*RBK$A z6%y!9N3C4$t;CCXAeh++Jhg07o@#W<(muoDf=tyu;I12nQ6ypE;B94K4B-gwH3*%8 zui7qS4bcb$)gijX73Xj#89q0Z9ENEj7)qWlB^_}qcNS%qjVm0=>@szT{eWoC3rOZ5 zit46-1LQkNTm1N8X9!@KYehqeX%(W??mtgTFwYA6AEkqwqTAb!q^Z4&_YB5 zxeSM=4Z!pybH0Rdy=YNxzEHH1p}w@4bgkY4EAWY$DUc}qxs0I8rDI(wZ{5JP1&Pp3 zQeE^y>L4%@FRfhMI^(+qhU@Cf>$wAN7Vuw178es~xX3sW(aE@i?Sbp3Gnx9&)k-kk^qppC923Ex2%dxCgm{5=KLs zdZ2|(NR#a`Uk}GhSLDY5Mw9SX(~{(=goXmFnoAO>@D6Kdg^K&ABw7=0F?nty1{+z&>=u zuV|Yiy0lj7o@g=RuVY5?AS0naDJK~8#2~6wzy-kYTEjr- z0Cue`=%W*Nr07sjbA)CQEkql}KyEIzUUyAq{fJ+>VN#iJv;Gf_c+^*)zd!!ionXbK zqMyNK37i)CNsB52&K&Ziw8S2LE)+K7)-t?~273L4Pg4)8^-=b75PmX#DB|e3^^Wke zvp3lzP!?uS`SDDTYb8D|G;se9wAlv!rL-jOfusz6S^!ZTskT5=!cE(%Ym3?2`}q3F z3Vn;VK%faeve#LiKf;BL4I#C@lpJ$U2VL|uOvyc!@C3h)mdXtJ_^X4K(HmH_Q-*kc zVNxafmwsO0S8}E^uVAf+9~q$VnA{7#+5jNcfDpbujTyzEm0*iJ@hfn55}l0tH*3yM zDDe1}ACh8+nl@I#19t#E1^}Uf%VONp8az9Y&DOzV#r|~;Ulc4HI1^l-?Tl9HctE4W zyOPfAG*Ri?@TAx9bXe19-7fm+>a=FmP&bhYpb%e<9T8SQNQC zpBOnDE;D)8*ynCJUq;pQGDa4{zCGAma80q_(icL8Q5DC}$<%M>^Fho;(G$3kFyghI)MM1i2JRYsf6 zW>lGlUk&#fr?+9(0!;_N6Fwdy>F|98itOA_;vQZ|G#y0AYlV{ zJcG7-ZMV-q!KEGwDo{=8OtL$;Dm0q(6*xvPFBqMqjtt&DmJ>t}jJkmUJ$O!08wo}0 zS=Ud8>a5)Lk# zbH1a}Mvhc|_573l5tlh-PgiYo7b@C)cUpe8F}L%_?1duk*+H+gyFIRu_~wa@Wpozc zj=-X{V*E!SOGEJaC);f?l!?wlJ6cViP^Q4}WYacRKmT2vvOlq4C>Lc~z^z_4x@VZ7 zod^7=TI zYBDv}v!-0HHBJw-W7AobDtgvx|NMLO8yxGh-Sh9&v@)Hs|1fMJXh!swy6ShK8f%gL zSRpMicUCwF!;ak2WLs%wB)9(juk<(5{7@yvf6s4K9Z!roNNZ3}BFHZ1soygSFktb( zARvAO9GgcqrM}&2TX=uhbc!<^5GFpdXZd?op@hAEnnLp;-Rq+hgm6ZzJH4Sb*_*2J zY4bkO%sB#Ze620xH~eZ@(xrlOt=H7pyGn{R6a}{xg+nX#_q^7?GT@6OZ9e%$ zZ$PNg=#CC-x&{f033)VS2-!%c-rP(6yb+rYieBV8mayGf?q6GQVsW^=IN~4WA-lo! zd2i#Py8~y1;IXhP7n2gc+M5%mqF(d#@_t!3|GG`b?ubM~{6eF8{R<11E0%Im_ihn= zz@=%peTRdr>E2`j-(Hp`7@CSJdOcJoAv|($awb^sSJcd7yCLNbbz?vHy}FwtFCJQn ziE>`;fWP={b316p=JJBj+za~fjqcfrj`~#KNkDJKAto};H;nKArX?C4tqk(IlxWZVKj3kBMU#)K+e_lp9addN|5IA`GrW01+8~ zd=V#;QBt~+630LAG~^t7uDO{rzHBJOo5nHeJxL$nQszV}YXbzBJ&pcy*TMNO5zrw{ zEALDJ5VCHT*k7a#*6eyo(c`j;Y-YVOpRdx;XAv%#vF0F!@V1JhZUJ4S5Sn#@( z*OzCKlb?K#)=En%4>LVqU+_=CFR+79G|O|$(p1%bwW{F@!U@Vs|97Sp9m02*RL$Um z3?gV3l-j#d#U96IRy`6RQ}K57B-jXZP=1@Wq#ts_TxTOk7H3){?rs0YT-ceCb72R` zSuP$)dN*@n=iDJ}C?%q{`nP_S_J>Lr>QhdSF3{QscxES7n)+Zvr}_S^1|e$M8P>}l zWKQN`j8`vN!`LOG%=UH1J081Re`SU4fFpIK&=*kFo=lMxu2#CqFPFTWsH8K!Zq^;n zAI+s6H2Q}9o4VuGJvI1xnfPBRlTbih2i8W!>mX)8*JU-yp)1pKE}d zH|uFDReR{=ZzfId-Dn}}|M=E7&wNS+&n z!CcGSPdKEE<2yAv%EqW}=!)xbkcOCRQ}HWjF5NdHSA@^?N zEh{v796Ma2clc6cSJe>^(wFK`H9#RR@%(QyW*e__#*xM!MyZ>U!A29tWbCE})VqH& zr1RDXk7FsXq^f!)%HjhZb~PnU;Gz;2#oiAPMXQA(}x`KwkI&@G|NqLf=R+^ zy=ZhoCdHJ?yuAPH@BI%7Z#bW%dS2p%YC2afn&Nl2_M>R7@24A*Y3BT4d214(*3Zk8oBV*4DnEq44*7o)9(5^e;exZ*LBV{&^#J7AQEgWu=S_E_19==KXjkcMb2cb zdd%f9wkH0bbw70f_J5~z^(h0(owniRp!kB`|M-WBL6BbS`()bpo?}=E#?pF|W^k=P z{oB8*wjE7z{3uCld#mH4MZ?knn-`V)>S9#>t^WWKBOQ&=kBle37Xrfhtk|v~#`GG0 z>+h>QbiGz_*IAS)9TZ?)7zTo8{po-5Ur{qQ-K)(w3b-nn^@EGrioM6${?k8HXTH09 zy$xvrpZ7yDn*s0yO6U1dL4Qii2$;rRQ|v8<3GVNv!+uuS-}-yhH|)Fck-qVQC&y~{ z(P26Td6JF_Cc_EcHm;_g_3Pg;PdGOSsarfy^*6URgOFroLBO+BD5@uAHf{@^YN~Bd zNt?G@+Y1kBL-t_<5)QkqPP(WJYp*~Bjr6R}RG;5dN4BfH$eVoB=sE{*&EVm#*;9=V z`Q|B`kxaYRRoFisf|%38lCWTIU~9?thB+MwG8`*%C}sOxw7^t zKLMSkT0J3pU_qOUp))`c08_HKAP#Mn71?24M}EKuNP@lVR&si7W}L*KygZF~5<Ub%RO}?!_7=N#NB~IdUnJ2 zUM#5+7rV_|p}|_9gL6f{tXSi`2j>VSV2fLh1L)xwT(G<8ehdVRK{c`phkfKpPXT=* zo8W0WLebXXz~UEhkkGJovE&T)tnYsnUrU<65&pNq#Vqp~Q6p}%_QKc(`KFJ7@>Hq< zKowH{bWGKcIUGBHhQk2?E!g(RhR7`TREiCq<`aza3tE-V%GruTW>vM%E2EWxKIrIA zdf^AiSQJ#aGw`nr8(^&%la&5HabUkFKsM!#fZA-bEy5@tGk~3|)uppy<%9Yy z6j!TNS5tfJ_LGDy6{X13`2v@zo%Qd%61mia#7>bJ4F11)-3{331HfJMuQqW){S|~- z!MlYvVlVc^&pwBP3tw|jqnoG?W?JNR?WPvV-EQ$1KMi&Ak}L0Ld3u^8fvtGKsGYSBDMP*u4>g>T`%B zLP*(PnZ{+EG5nrpI1tBC{ShokreT_6=;~k`MzBbOa2cWLFO-atqb}=+lc~ubO8BP} zUB$Ep3q4~cA_?kDCWfsiR(vGpvF|QqM{{3fT_;&sv;l{k`ZH7CcNS`fyNA(0pW6QB zvS5Ds;4Rz3`8DHNMq4`Hs&WWQqt4ah1M{cEMoqr&KRD)JWSjmki=V~nlG9ZbK_iSdsF?l!zUI~7NMtg*MN zxEawXbA8;K8J5-4`+IIHw4Y%ajq^t#_5=b;;q1`)Y1v z5nv#2at!t2DyIwe;Qqn_+!_|2`nc_Q(JAr{!yl6_2jm6%&Tg5ckc)Hb8h8@en;e96 z*=lv6fzrTf5g70^a1r-_?9Lb%hdonwTl@@j9wq>$G38``(PcDssnqcKX0WSroZaX} zo{bER_{8)7bNUdali7pUcj}O$v-qTmQo?ao)+4GAT7WuM@x-KK5Lu+uK$nVyGeDtZ z32wSwPUmJWJ%&L^3kC#v;XrpE&<+?EIc03|Sya}POZNpAvFR#m4S1cHS#<^|E%gf- zfSGh^Uc8{58e0a)EC*LTb;VY1sD+*oPO#llKY}ogmM5$%2qH)Sb!K%tRs1rGH0#{1 z^Cz-B!N^#0&w7M!$Q!&AH*W&dKiIl%&6EA zmHHiMzcw8U4s6-e2Da~1wxL=Aj29W%WOD-Vt}8It0d0*}!lPDjLm3)_mvfBDrjj*B zNn2Hb6+c|iB4(WOb2COLf{y6#Hd`NPAmmC@HdN+1#~`9Kd)i9SmX{8#Y5IpY;@!#2 zZED*s0#;tn=+A%m%^Nz&tgAk*@rF^1u*`B|7dJNyd-v^`YCzItp9`9)lMCdM@0sN-3- z@eKDF+`lW0XRJKklDL|9a;f-8gSJ)jXp9}RycyT)B@e{v}eEb-lXH~mn}NW z)`c}+?)F?i34G-o*<|_5F7$Q_CeaP{P0-e^E-?MYo2uP2k~xjmBOW)si5=+Qtg{!+ z8rBm6hpNF%PuIMjF&($b@Rp1ZY$kREo!#4ZW?Pdzix6~-IB6W&aGOk%Q5}!=`hwCm-C=nv72FNkOc>nE97sY{*NU!M01XgWT!Hb>|`XZ@Q z;6(_7N@r37`l8{YGjO$Nic~Nm$%ZBCNvOxtk*RD_EAb{pB%u}^EFFp7B-IgYPHdauapLkXM!OwnF0%6lN z$fne^K`-o2IMNo4J8vB{wC8!$2SPXIPsq|nL2izab|gXcG5m^vI7p#h?kiqwek}Y_nx!u{LkL|?7fy&BZUuP zk8Th|OaSO~saW1EXuFrC{vuwTMh#nAX(X)2BQ(K5?cV~kOU-R@W)S}xdf%p&O5zmu zFyv{LS-}k+wbU7d**D^KV<7#DE#Rwsyi46Uw89&(X{ks3rN)L~`d6Eim}qDu>P22m z^z138`;E?>qAX2?E@*Q*AS3BnUJ+Ik zl|1D;jRK!}`m+YcL!Eh!1>JT#wo!uh8A}%i9+`titxjtN_x-9gs+fZj`cZ8CpM=n^ z$)Vmj2I-RoIuh}32~bT}Z@2ckCI%e-ex+$D{01en3Q6W-5qFl(D9NbHx1zum&rMww zoui8Ofduk6HcKo3=8xx$1;YLAImav6Wi&fbg|7u6e4XQ%et|7a_Ckqnwg?tQIFPfZ zw%YF+#!*4LYU;i{&~HSCx@lA7WSZ;EgjRW5ec1HaNwM1q`*#+;EV_rM#*@JNYLlgN z(U8Ou;9ojF)NEo)jQo#$`&kyp#&tUTiBFDm;R@lk(FAz%j9eIds*P@ss%buMG_(b} zZkb=O+4NW^#Z2s}*)G2RKVpJM%=4CM2~c?*=1f5w*MG@h4cL*wVdP|sf+fw%&K9-- z$IArF*~@~=@rdP~5tfLcML3q$7EFWF)iy^f3%gp_mBQ&zHjXVbg^E)yH>Z~oxDkg) z#@w7#C<_DYsiv3iDl~49oHAKVh)BNRc`6MzlCG8$lQf8o;H8-y@|hdUTfF?;Con+l zL|RFz$&0Pz;}e)&?qRfoMB+G`nS103AQz4_?HI=3MO&;GHJKkP^KdfsEXbrSFgW+r zFxm?t7Sl{66Wh`^I8suWEhx5jS5{`Y%-E&`NWwKXEBOBRO(xDs!1kGhew9prd3x0B zb$RNOh zjMRE0zku%R4T{sPBVVxTdHDrj&Lqk&$Os*^F6j$6F<$w~gbva`NKoP^mncVcb)5^@ zJOX+&G+E{1Lv?jsmetVEHhUnbdnlVwPV`P0VnD;oiO zo79Y7x1hp^{C9>kRHIctzA;)~T3Uo7#123PH&lxGQJAdR;ojl%sU6*5*Vf_N2<>181fAf70vk)o>TG!R~Gq3II8v@sd%gsi= z5yT+=&$Z~w0{&x3og*kJN|4>uMwMVY~f!{gJR!K{;C5QH;ifSsH!O^?geA>%+w z48aKcp~Do#i!fS2Yry`DM55e3xUW)d-Di%&nejoh-=QW^=hh5Qy3$9?(}XskKD$f}_Ay!bO6NPWV==e5TO} z!90O2!?J+wLFUG7xo27kqZO8-Q!695nDdtoqDUCBUS3j4<+qonty0AOHGArs(?K< zvt}nSNO5B@G0Auy#|jt<=W?ivbNP{R3p0#N&ydQGMH3dq&J;g9ZlAK^Bh0HZx`;N- zy=bWA$66V>Ft=VSp>;($Z_%V+ssSm7Wt)cfho*2iE6gFf8&9!DJTstCG%FsW6H7eO zG%!G>S~#8+P9Xahyj08*cNm^zR+>G9UAH0EQdio<#;GQV)=Z%%=QVKnd}c%yZ8R{| zW{bjSA0Dj=T}M-$*}Cvk)Oj!snWDHRS_8VoU&G8i6?tnz-M|&mwj}vQ`RBS*07(7I zw>Awr;S#a)(-!*Tg^`IZ4&RH(Jr;}4b$#AjQB3D!uu76|<>ytgcZ!d6RMDqioJ2Xa zx3yTuLN!Y~zE)1Lm;6c!URF!J1k&O#N^zn`t8^w!A~hRI8^BU8{kd!pe1gWk&0>ik zkgz6>v&@O(6*H=b+8dh2^0iGbxNy{17}H3{pCkrC&Q@eaDl7FvKEh-1>jo--j)$MXC=BB$!M&KSQuhE!K(@bI@)@w&fpk8NU2OZ!knY#zAMJe8 z;kcK&s7$pZi!wSnSInR{broKz5UjF}(`~2^b|lb+6zku{F;&$BZ6(_rA)+M6Xw3E6 zRSYsb(+AOTmOHW@yF?uIQUWD!34X#LLMQVDzBls|x=uVI{*_YL7etQR!s4^c0^eH} z4hi=mh4)q6Zwf6P2rNPt#Qw5$%#$vKcmkX~3kw(u%Yy_gZI@|juo_+pn5YL+3(DlK z>T&+I)Rb||?+=VxgRq3ucu)!H&TMd5LxP;XA$>vN^wA_?IoxddP%sqdUKY}SJujH1 zw*|$Wmxa(H76qjnvEy&XfrC;`&PW%@xYBF z%W95pG*wIWk>G`F^YSWbo^8VLwo*W?t7iD+K+EMVKa~u%f`_#Rb|_K-zg~~#alsub zg|kZ0SP7O&$8p$_tDro;r}0WdrmyfLD6_MGfcS5&ur;qZ?~m({q(mR)#zBi_#S=%; zvd>C?mM+FC9V*P_r(=a^&a^j7rIb%*<+HK8r}yXL6WLH@0W|N8eNaS-(}wt;bz|N| z$R-xuRq_{=7>`M?WSvE}EWWETO}$|aJV2QkpO(F7sI)-056AxK)8|Xs@@X$JiuQXci;Y5EeN`=~zvl$CpDEkCnUyBfz4PJFJ;R_oS(@*#8sHnIcQUxIfm@%U$H% zSD9$*bpH2!$;jh(a&%*ABLBXQe?!`)noNhpcy@NDXtBJ#1<(# zf_~0qoltmu`Mz|>uMG88`XF-LzvPWr=y5FMwtN6E^xspOj^q}d>Smu0fa|y_J@Z1f zBe>b7yh;BtJ}*<8j{;DXo|y0e&Fos$#C$!|;itkU148gW65rsG+QKMYI3`hOQDxl9@A@uALx>oRJ?&@Hfxo^E;RUrWdfO+39yUE8o+}6T+S*I>C7W zZJ(uNX~vAs+Vc+~%$QgKyzzBbq24?|Z?CeX)a;zDe#?q}=<{Ml6&|3!BYGheDu~h`-s$fRTMvd##*vrcg z%Oe(+>^MfzL*|4xYRgZ>CqA%N#CIRoLH0!BJHn(eq$0}DF_KS=ycO<(Dnmyrw%^s= z`?shkM&1g4k=SJ?v3A@wtR^?C4+E&u1_RcQ%;lr`S-s0=9vdgVSlj8w(Xfsj{g@z2m4*C>|3zX2h&lY%3DEEZx{*0 zGFI$<(6|jkWDS80g10zeTtWroL-KixkvX1=f}riMc3I+hIZJg3LG?Z;cunBWq+nzQ zABV$j(DK~th|By$_+l9Y3sp4-(s!q*W3on1b*Yij%!h)tu5#grJF%VsE@H=N9=Lo@ z{_6Mw{9!Zk^@Z!D#+l6uqWbYeLybV=WF6l4lIT;MCHIpouh)vF;tT6};;Gc4o>O8R zAa{$C?aYgXxQtRtRGx4GPRuP+hz zN}6`9d;4cC^Lfd~fm6BuDD@ShlUenqek_Um4z!-!R4c?^1M8bK43M?8iC)IbRik|+ z=9t37yvN21G#s0IP5y?~R0X9C*N;s=Nz6gb$8m{%lj=$i&b8ow5PZ!+%z$ZyR+T^F zjYUsxfzHuFLK8Jc18N8ZK{~X>9~Q)jk4J{@K?;nBvyj^pBpR}Wc7bA`c|d2ee=06* zl8=$Bm(p~Z%rT{S3Qqro$P!{&5hDZ_0aTTW52W zq24o9Q}#u7$UCX6Dls?2tojUB1l4yui(27vAiC%VNA6YXrW)Wh1EiouKb#sQ6d+H+ z**+0(k)Cdc@$My~cCcUCqJzTqzyHqsndjO`Jn^_>DP1{!ydsDr>tW4y&W`$)c$@Zl z%h;Gg9C%crEN(a43x3E4v5*>LKq|gjZPBzihD|ZhC<)MoAXxdqRDu0H^u$b+05UQ^ z=qm{E;twh$79klUg1sna@)(4~{v@QS8Hx0^fJ6ku;&6|`fRA{=%AK{MKV5L`en!H7 z_7%>jF_3;RqBSyl#&7Sc<*i}x;S@*zh-&@RHw{j|!GWT|>5u9t-z7AvMoc>sDz0Ja z;S_2=XZ)VosJ>ct8jc=LLH2W#)*H+wy$al+cr+BBh|U!>c`t!&#?7K-<0%k-&P9JW zJn>K=nd0z=3Yju{64UUVQM!iG=@frIv|QZ;1J(VqquG6N&of>Xm|?g(G|1a~e;aL| zE#$jSlfS4%J+{ZYjm}>-Xd0WTv^R^&A3CeH_s!@eLk)ixi$5os51qEkyCK^EYfVG< z{aNt+eE8|%+K{kt3@+D@dw&*kKa@9#6Zv*KIx21><|mJndP3R@M)N#G%){Wmjg^mY zDxB)wt{lf_C?7m1uWLbuM&hwubsWUYFlR4WY{p2pR@--*ijf;8+ML}^mi3m7qlBC+ zxU=4w*mRAc4`#9Vb3e=IWl-JT8_I{Xi2I>@VtiR-%^V}xHO@Yq#n}(V6%gZQQKUnS zXcl8XI2beau`$PUKZKHF<}|K8n#I)*6_P1sfpqFn8zm8FQ7@i_)!(|lQIBZWW01T* zR7xJl)SILs-4;WjyVgkW6bj@) zWPUJVNs+KZf)PY5JQz&aFi04wy~MK?U}O*GXB@`>TAG#Jlzuew1KEh@2e@^; z+bYArA51ZH3cdGl+cA#&VF1RB+{CvQ$ZmH7KfoV*Zk&-_^rrA^NOQABy~Ixg%a3nL zPLni^eF~9*cT;dN_&Tnh=f@cuIsq|e(X^6Hr=uhbtz=o|eruS4%mQ5L-i^d*0qb4o z1z{FhzPBv(cx#vu4Sfa#&Jp8K<8~orZ=M=00{44*ScQJ-TL0@$zWK(yP|!i&!G`QR7@$ORT+>UwBlpCCQO(dyEBeGF2Vh|2 zvkv0hA%5gQt! zDNsDR7g)FNQJhmwai&i-mMVh@yMWlSE(|swC+|zKUfXSXy70Lpknqut8H&7$vN#DX zqP#Uk(rC)V``*B=%s3mGok- zg(R%$gb$dpv^b@iS?PypEGKc>?*wolmPwR+Dj552g42&&Y4#Co@yf=cF%j`f@s%j` zQ|qZ@cFGHOr%o_Og}EloN%do#vU?r}gu;@Hesm|*Ho76NKo@5btR-6^vs$(f^G_r_ z7bU|8XDa%Doy-iSPk(ae6mc0al|^VAqtJ^3iy8W4aqC_=<|H7+LWl{`i&HtX1jFEo ztOe3UUuHjHa+#MVnN=0#&aNd9#%IK4$M9$jrsrqSJQy2G2H7j83%_UgT-Qm1G;tHN z{IGM2E3;-eos3D#U;{w~Ni5CMdZx3il?4$?+fuIKG>W0m3J~Q>-W^TBSO|Uh>5F zrnfKJ8R+I9@ogS5l{k_UDF1*WQ6@v}BU9z1HH0e5FYJZh*sMGL4BGG65N%CxEh1rR z(MW^(M9Rm9Bwi0&H0Vy*fI|7We)wjO%so7!Pv(;0eibPG3DDlx6o3bK_Oob76#-L? zU>`*DG0va|pZzC)@Xa@TsHOW&pEMk$C){+?Q=|9>^UDR22pEqAvM+@IheK&?u&g9} z7>9*|Jl6Y`fPAR*a$ss-dBS;Qzcd6O@$63jXr7(pN1TJj>l6Onr9omhyGs9>@~;pa zEd|g2!TL-+D9=pcp>T+cQoDLNqhh?Q$k2nmKC#bRbiy)c`ZlyP`{(w%4d&=Qq_~;= zbjTqkfo;q*h5c5D4zQ@M`A2Tp<%gv^FEDp@u5W*o?&Z74x1UcZ2uYn?ah5ZT$uPK3 z+dBbHUbwM++4U%%En6;2A$LREh$7_wYok2VsOYYCo4=3-_id0H#e@@*}h z)+f}uUl7y3XDiDeS4HzIe{A|;t?y+Huz3&H7j`1SZhd(sicAB=$L{iHd?vl`PiL3U z66CqbPiwj1%`n}JkGA#5V<*gXDqPPQE6x7)Xlp*&5RdolVOUGW3)P-yT!(gFyy()0 z+4F*V5r}7^ecrU0fh)!Nke}X|p9`u6P#7g8V^Op1y9X20hN6tI zMrXK&psGEpT0nVuu$^QGI3#8Xe}sVeaf|CkKUKg53aY)A!w!G-_*V!>9tv3Zs?XoF zyvy8(3kUVm#~&t53)5NGeT7rucq`x>W-hKKEH~2kJesD8d2#0lACC3IjEi_w4|}hD zw2k!0!Uu7=J*>FT3Ht-B^ufW-qX-9u_r{XCK^RKaL(F>;fY=i2Wge@Xiixi_K~@UgLy ztuUN(z@$wD5H`x*8_wQ|jpk0$fFbJ&SxiD&6@xUJu964rF$zpO7cqhCrXmA6`#qt} z#6@!hwR_jM37$9&<{vvjFAxgCvvvu9sfsU zS@$g=OQx+Gk$e1Ia{ndi=M2pZl1o7qn924jo6OPuzNkA~Cm89@7V(Z6)h~JTLhJs@ zz=sV1`>In;dV81$P%QC3OS}O4j)L~x#@>@jS^*rGxh|Q(Cqg$ib5ssRK$(bMl9~`>SR;b1Xb?062>R!nX~}X z_T2@-WRtI92vD&z_B?cT9-VX{oUz@Yj?o5Y#Gj8Pi2qrCO*aUmH6_9VMt1$)DNdKF zz7_=|7NEV;ym;>r+hQohkc0P(=_)oa5-$eP=Z0|rRe@uwpu44U+Eczcl7@)UTTTAr zJmsg7;a6*-DcR~I*q3XX-|ye98&3alx~6!p8(i2MS z@(>F>x5s{hX$&)}e)B6(yJw>+M*h*Dmpu~gi)gxI=&C9ugx(&!GspZ|JREmu-_u7V z%0z1M&tuLbsbo*K<#VoInXi@hpaE6b5?pxaN8%$Hsa**LpM$hzD3kfu+v5wJd-@7* z7!s$y6INR0pH-j!1bXti+?*c|av~#vPgLxT{#jH*H>6pq6gk$rQhABxDcY8Qx7cm< zwqzs`jQ%!1JRG-Q{bPj5wqaCn$xCZ~+h( zCV{4aJEXL$q9lT+Y2H{YVXAye*eCX*v;|zWGoPKho6t2MGJn5l_81f9|0`*^DH9uC zsiaY3<_fG;XkS$3ltSDLi5G_g*YQ1Loa!y6-}o#x6}gVuO973q^0B5cWzMc$n;$*H zu*>&EErM*QR}7u9HtfpD?kfzty+6F7jj4THGfdk);h$$FIGe(Dm}H9zEC08wl73Z{ z=!btL{w=G#*|7imCqtUTKxpz+nF=__pSWN0W>e-vG(Y{KJvmK$hWqnKUy~4cK_w!A z_mT^MW2-AR2Now>W5o!m0kG+gQDmcBlU*Sh0Av2I#S8#vT`Ta_G6iAAhaxZ(>zY{Q zCuO6V1?jIPeF2*+Hi-gdLy~**;U!B-f)k)&XekbhW8Y4NHivSblhrm22-@*-J&V)6 z5Sx6F!y(%8U_NM<-c|W~?8+>GrXuli=PkV?vo;Rp>AJ>!L<(AoPG`QxL7|{-hq!?) zCCmz$_}|6xjtjF`WI(WYP})oGP#g`gxNswF2)(o@R<%9j-3d!rOG*iY(`c@!5U5B8 zd3BN05W2mS0nwSvEEpioo|uj0P&g3Q8Bv&QYF>mt7NKTV7$nTsIVP%`sm zww1&Uo|ToT5&L{ESYQG{~CdsLmFoyv*lfAF2tvqJT z=3KFHh%#YX_dk%TOEK{z!n5gV@2OEkmk+im4CIph@O$*xqH)1{xMt9y;$P&B^1osi z2~=H#;r$SJA7IY;PHG*?Q)xG!epMcipZ?;ERx{A0Db8}gHk)G0Ow7>vx$Um9Fmi}r z0Luo3u0%SwHB;MizA{Lmcol>x&zsE#I{-I}=bERrO^rf|e*DG<(v_QG#wio zZ%B}|BLF&wv(0-Aq`ffr;GB=u;*c*Q)>FRuzGr+aAv(@Q|6DLvk%C}u=2{p=r^^8d zEXdw5*}OmTifN{Zz3=Sx=|xKi=_(>-8bp%|8>3H4ZPDQ{T4gxP_|OI`fNy({^^|k! z3433+;>~cdi|}!5#>;$g0&Bx`Bg|QiB_!HlJ^=1bHAn>CpzCMBPH%KpYlqaRPy`8A zvxD+)w^y7OC&#m%3c(g#tBY+u1W;+Fi9taestUviS^V|MbFn&Ex=gyHNPEO98F{S%)-|E^yhqYy_B!7^%+;o{qW6ec!^b4 z=h2pGbF~53py(kvmgMq+NA_L*O zmKfVuquX6kZ67R3*e&OMDO|hO-}${Cnh@wY2_KBGhs}UH2P{-Mvif$zTR0;!6>YE0 zL61!oCDpg0bMkid#*l19Czu^D?WuB6mo~NR z*GW_0CFU~bu)c0t0v3VB=*!vM^;Mh86^4u8x!m9@ayx4)4mB+iX6?xx=JR|nMonYv zu*o+X3EX_S5apaFm5!+AEM7YBSgk+^CYDd$no z=r%pCF)zVYjROmds(LB+`c2cnSU?gq0)nvgwAmyf6lw z2qt_LW{{z|Z_yyRw1}n5$`#d&dp*ot%e=e-LjxyZs#RrVu^&vd33WkemZ}-LDqrWP zoaV0|nKpKPb6yv@Jc{WTu!rz78oRVGq>#p~OFwY85_#*q^s3R;^`UvG7v+${raCcb zV;I|!MGt3(4|RfSlLi1#W{*3Fc5L7#Lze2ge#LRJai+bNU@PeoK5ft`wz$wH5zMk9 z2N4qyJm-~JB!*?3zs7=s3IHX=&lqE2be;NVYd+bUC3>^=0+@-|ci8$oeEX8hfs z{05lGk)ZEp!GteV5(B8hm8NM}NtVFM^zUJovtZ2at4f0mED^;fxiJc9o(A_Q%ULiX z`xLq6=NVLCLan($MhkeJAU;$Z(*d6f!Acfz1cI-n0ZrU7n9&_745_MfU}jC!^PC{Y ziGagrtd$J4%%s^hDLMs)*o;Mlb0)!oG{S&|pX-oB^Ey!s%>YN#$XV$PbxdCArKWEN z(<@!lIP(yd7@s(yMkjC0lS$~ra0mE~=idQTqmJMd+S{5LoD+mI&Zj8LQb`%TMW=o+ z*cwm}`YALuFLV}+r#jeW*R|N6`vWuD3Nv=&ym~<-0C`h<zzg{Ee;s(3C0FoKY`XPI1AbFsoSX2@)Ehfe)?++TFLyVT1Qk4NDWojMC|#}G9F z&GOR49;9ht{TqKv@r#L(#y{#Ev5g%1A(%;uvzsqY_z7R3I&r-fr&5T3?04L{@5d{j z$%X_$vB+FR&MKUFm!iQ{E%aF1vW4QraHEo{O{c6z7rv4Y3^#-l5@cpe`LM`U_OTRP z>QjNMOPV$m#&IX<_ZZ8bxRorCpC3sLoEb%mwaH8SW7&VtHqixHQlr_+pSbAutp1Aa z1Of7QvMxD39}DaYk*+PebYQv?gZ0d)J^>_;C2e0`ANcZcHUF>~xW@>S{vaVT2Pjk} zbL)gispV(*rgX?_hHec_X>!5fd^kQ@^J6c}fxAL@u?(x9Fp)9diL!>)G&SE=HWe3} z44=?*ZAB{79g=np&3Qe@$mI2l5qrwXEGXIX!Q-jSp@*z>5DI5U!>c|Z2Tw8pJMT+rL0Ex1O0fwmrcj_OoRNd+-nB&-V;U%p@; z*YfH{JjX*{_2+e8HWEh1Z3NQ?20r7=X7WhKwC=ataZ5zw05XYt`*3LH4Z4tPg08k% zOUCuJ$!E(;_s~?6)P`Ju*b|D347-LfdiJ5bh<#`R`y9pQ55~>G-}AT9(P6KS(&h)i ze869d^Rf77K-R~dZoV)HUo-1fe)WeBO3G?^Gz{3o-mwa&uOhWWH$;Y&&AC?xmp+~O^%fpPb<$dk8FaxU4l0{)6 znn6RVtFI}%p#pL$x3Ir9w64EcC6O0#Qs>n$X&;vNq`Z&vKFjm>#|Eawqn;Y!V`0M+ zr+8yut^lP}hyxCJ-aag?ZK3-rkkW=9A^#{o>#wPy4pPM!(&y!O`TH-{{M$eJ<{OFs z=!DZ78{7PCfZ65)9ig@jAh(n-e;taLf3g$pO1j&M?f%!2x-@%u7M zFr#r2W#Y68QtOiUysA?EGZ6zEX8g~Ik7BJ$31oPcy6Te@BcIqQScZY6;ZWG8&2B?? zk1r_F5hLbdLZlW=o)b}BH+@t5)qmOXjgH5lxG&gBCO3MoXd*rr;^(E_iCPE=gl`h1SsWfpbEGV<_wzrK$CXZYsu2@j?(ylByJE z;o}-YxW#~{2`0~X1V;>MrR;N_!bDA?6iuMs_hnm1NPQ@F0v$lu=v|?OToVS}9E~@g znIy|HxZ%#WW=i5O7bsknWSIO@T8dW9ODRBLd9@b5qz(jE`=Q8*$e+;7a_-NCs3G_8Pq zK?iz@>$8~vlhDujw&}ZmoLC_NjP_@NgV>ktG+jO;AopaZIg~@2NEsA{4&&cn$`jS) z`fT#V*2R{-TGK3MyM!cQyLMO=`K}n^_Y38=8yeuoR+vbXxDfHw5(1`QKM;Yl9EL3l ztuW=xKa$tK+rE0iJ%3E3ZjKaH8p~m~`L@_ga$vJ|PMecJ{#qg5 zl@0H%dJ4DI^xKF;3PKgdEJSfdxCNxRgtHNIsgOr>!rWIcd4DWOh(%;B<${w$s%Vus-=R*U@B8BCR$iw1Smh+3 zRc5g6z_iL{XdrI3kYD^xTPM_o&|-=kbn>A)uJav={vSg&lUz-k{KEaC_tNl>d44)G zF@Iq^ed_3v#F<5EF;Sn+E#I**LQjRhqsytr>w_-*zM+FgqF~9&juDSUF&8ZH&;fBQ%P&bsTBfQ ze!Uf797!|d%j2aG8{eOE-^#Y+lZ-s-64HXJ|EQ!jp104DM(3Z&!Gkl3Z?dFX>LvKdWQoiF_h;f} z;HQ;+C)L2|@WZL2LeKV&v7Jp-4iN6ls}E!Q0aOarC{1p z>x(L9NI(8x2(283Z(g-r5(yYD8p`)`V(e8IoN`_y6Y3eBC>TzxJm`Y$2G(5dkR+7h zqB4B(3brckMn_0@uQrr29J?5nX^7)h9Lb}%Be|Fj8zfO|&s<+P?RoC&fsfM3%9nQ} z&M&8pkzfz{RIrnmx9oqTF?{pUD6qpCu$B`XscD;E|)>NBAQ6-kQ8yBUujqv z{OSAQPC0~sKeqm*9~<|GSm85XI{}`%W?x3L_T8kVU1=*=_l( zF;zHOhv0eU-KfGqbG*KE<&h!bYvP~sQH+Fg=VIT~+=_|g&MFL7?;GVsSz>W9TBEO# zA3E`@LcK1l^4EXwZSg)m$F5x9xN^Tje!w8csm2#OKvKP__;dYN|8QGB=bN`%6le!T z1xxN)B&V4>D{#{Q-nXe~VxpQ(+2luhu1To6DdY%~U#HIYsc-h5{wu*(HfOP@oueL@ zIlum+{)ol@>pwb5#P0c6pQbNiu;*p><>~zCk6Xgfv==#qNr)#Uj1qF!8z~XZN}Te| zCSR8fpu=T~k~j;?wqfX-=VUULs>XSrFUo_}YJX&s0&$i@J5elW2J|s&z(7D>poJHf zu^sph3fq@{BHn+$u=V1j5wxrF{Sdk+_$5uh+nH^ZhO10E5l<A5vDry939S`aLTkUb zgcO+Z@r47$(dHf3*=1DE1hQcduOw;-);Kx{GO>LhYQnGL;Lvho&%&{9g;v| zhn++h6|^G7T>AEmm3)Mz0!`;ydn zlp1%TJC_&?661wL-SqFBU==~?YiK{mGpW9p$#BH}XNSW}htFUX%x8S_ndW!h@P7@< z#n4d>c|UpC2sS$uDJ+5(djs>1pD>#issNQVY~WMhmP`vV@3!(V0X^6tXGvy}qUo4W zPv+(4U3)c;Tl%2cR9sQ*r6iVx^Hd8?b=9A!Qr`X=T_Q$iZwWEo>@&x_yV{x!`U{iE z$pnc)KUvWmw#!KeUcBUzy($Di&iq#rYSS`NM6&7*3)X82Ot^_e*dwkTGm zysa{@8R}l%4fa#rnl$Y3H%x$jvfl}bG=mN_Kmyg@GmRvfzB6PX3OWhFE6Rh6$1fz( zgYP&z0G@Cb6j$a)w9uv@zN+(`^F|36F^R3XJ_4Up7j{do24T@a~%qgU7l)zX>&mdiBXkXj>etbgH0BY4@Mr(6YEwSCX`73Gc}UX(9+&tu~S zrzU+Vo#IesL=X%4Di;m$-?*yI5_Y+;&8Xu}CF$td($2ao6fxVK2?-h^zRN4v9$2>K zbE%2-Gf|9^63Ev-*Xru+cJyH18ip=mvZ9zJJ@r{}aBv>ZM91h!tk00v-=5SsL;Nb* z9F$-DRXl4Kfdk!{#CZAy+L5BzxasvOQM;GVq^BNssBB46my%Ktntsi91Cvh9C}T0@ zGIAD&ow{^*VduSsfo*y1e#E^t%ad2XnEXetu~_S6Kk&=KmMKiUkpx>a^s~15 z2T_40te!vD3@;kmao7H~+@JHVZ;Ja$!B9zD9r;<1sg%``TxT*Btr)C>D@43~`oHr= z)EsBgWAX9~HKz}!=DQ(%nL1?X{#VrW6H_x1_%T-fcLqRm>iC^R<8ig<6NLI54~$OH z*J1S_EqLU_MZvT0MGglge@Uh&Q;tN(L!%>Kt$i;ddl+CUA;*E|;6N1)bDVM;*hU6k zA@7M6!OKNXMY4EMi?B&Vxg;W6hBAv(KM|VQDIYw{B#0k#jC~=1iFAK2S+m$5v)^p- z0_ zP#m-27(&g|f-_;D2-MJx-5j0S-or^97RQ6QU^$}2k#;XEebf=*b_l}XWPyxN0^#lI z)u8KaB$>ex&SaJ`cU1;zdQ|dm$HRc=k1t!2cHY*ww^3XtZmON$ubUz0`_bTOR@{vc z-+#O^g<#LiZi2mUH{m2EdNAi=bOq@bxAGK<{cr_KJT=7J47K_5UP^YeXC?F-d-lG8 zReoX`i5ZjWr7M28za`!h3+CZ??Mrb$Kk8KQP@2pX!(VR`1oR>CihX;$Z5X!x?Rpbr z^K{N+)fC%Sa3FWsrXP)n;W;UKv~`9>`-QzZ$v81WwS|IYKbP`~XrRHvFOKo}td%fi z!wDjd>OSM|&}$F*__6=u#{==1>HK4AaiexH@n>;jT+p??JP+goo<_?MvONfy_cP04 z7$S+3k3u+GOv#ubFtMYiuYG3rGSfr#WyY?%sW2(vm<*KOi`5VZFPTba%nR}~2*11( zd)->{OA#uepJUNfutw{KiIAFyZZmvEdlqZycr48@uc-~hDG_1&|&s(0Dwtnc86VP|~!^?#3SZL2(--0=`H?DP=%#MN4xnuq^{(_#8 zUecO31o6see_IHQ#x@dKRLT~TbqxAX z|6T43zbiPFXt(@E5{17s4zR6EQ!jiCs;0*aexdkC_!IuxkwyxK5eH?5V-Qz8zoliw zS@rh(dG0veZ7oXLclIo?yRcz~z!b=-3k<(LnBUvubc}_t^zeCS{P*Hho`vDw=oozZ zV+zOqU-Meo)}qDgf*IB!3x9c-f?=4neaxTG#hnie#2FXLAbBimX1EoNY18zt(kPhu z4YY)}eth$Jp(QO}VbSTjg0WTaidJ5hbvYC*RxuXCP;#J|(t=u2R)_kbKQmdewc`-& z2bndN1@y&Fe|m=QpF30?`4qFEBm$t@rugS%CgTF&K_Tzq979>g=s(e+oY`-tNuPc# z10{h|)6W*)NG<51o8rot{mt|ZSti3`IosoVe5)~io3g@%Ul1Gb@q)_6rf=#~f1b5F zm%?PImmk{?4vwPziUY%sEptkkBZw;o3*0z5#+9XK##ahl?ze4msyEH2Uv{~(_({%r z{M_*yE{A{%4R#2|>$P^qzZnToU$s(Q)4c~53DDs(@_38tbt3vu9&hcLkZQg z+;aYhpOUPuJ8&e;ua`XgyF;iM1-}duCUZWRJ_3QZO z@J)HN3a#?>`yO52=F`Zc;d*Ee(sE}u##OQF^t_yY{kd=89NTa>vEI$5Z+c#E8yNQoaYSa5t3TX)`m@~8zbfdqP~w`BdKM4Ago3Z3wZoso z$CN5rY^cZ(02U(eJBsJe}?2btg8e#zW3^coYI=1incy73Ri zo_7qc#7bZ~^k?|1UM`;*rD^kGXYz5tF@Jt`-zzqoCD<~>s2%WJf^MJ(K6je4qvkG( z!T3Xo#Qv<@U@>t}NTE2c^CuHBF}uu$yL24X&s|<3I<#`x=Ho@VDSI>-1KFBYa>`*m zn5Ys?LEYxmY0FpQ$KiPES-J;jgpbo%nW9pWic4t*l`3(f9PiL^R?Y2g$`zZVJ=BVZ_%>H( zBozqe5&|?KPOM0ta=I7nA%3>m8i(8g2l0XEIigs=IGWgf77bxfe4i;o%H#`0l%cK+ zJ8Q^vLkJDRjWo_3w}A?P>9%qiShtbkV)4F0cVW6+ zD}f@xnN?|K;=1DGnlwej7_^v@)bUp-8OBcp#wGoYglbAOG){^B;)q4aty1#Vs3rN3 zcq&HPVni}b4err@#b9?Z`H6q{`bVIDg!)Hh9p%wc!{YUk{ZOt2sg@X?!cEL{C|tPm zHh1cq%i-#LX9-7f#S8-H$mb($`o1b&+N0>}+k8XMBH4U8%wkEDI9#D!E8tDvF>kzT zi`?Ef1!Np@dT~Q8>57tEJesgq4xRizkVj zI192VcHeH7pRdG@VloCc;ep!*T|S9EkH(w|@(P}C$1~#95v@iPWz!(t@hOsClj z1f9GxL?S;ilcg!D++xFV_(|RY_VW{?5SV?2m59NES%I!XKgv&pfy1KgKT6Dh-U{R~ z<1Am;1}t|Jf2yaD4#`NNw`z^XAFtyG(X)UGx%l;%6w(ZAijc-3f5LvoxY514E1nAC znl|N8PUrTJD`0HbaZH$zTKA1Lh~7hJP4#47$Z5_;%Z`|xXijxK^C9oRNIzV(d@AKC zU?z*rQ@6k}xXOC4$N6D53k@1!v?ilcgfUBy;l8sZ^8;!vh7!lu**Ws4#lpT^<@tfR zwP#z>JeaY81w)SQT0gB*ZW!k+jxH2N^!41*XM_G=Eb8@|uA>t=&;H0uxx@G(oG3Nd z6WZ_}eI<9z=t(vBEX-z;4EGeHh8 zPmIC^rC|d&XU|0`#GUTYo$QUV_-kC0P&MRaJomeN!{@>o%AjHkicZHEMIKab>0B}6 zhg{;Wk`KPSa`^%-Z{Jt!*DGVo6n4(%t9Z1^5?olYl9*$HB~+YYV@)!CZYQfWN{NXl z3s!Os8wb}g23!mH>57a`z9mUoe2#f0aCuwLzk@<#x=yUMMse^3w14f7gN$qyhmjLm z?X`NwDrSiAxvQ&k@uh&+^b9Supjt8BY|Dty`DYlvjMk=x{s|||sleHLUVMzf%fu#( zG%-aC5NzwRol6S+RTwb+*D@fLl39g4V#1BJ5c#pm7{w5PlDiuU)V#$J#usCgS&irr zbfG{`ExN@NB.I77*6sW0--u>4Szu7W5aCf9_)m9^Wet)clyA7xN{BQerYDhBmFkH7I-F=9>w6D1nYVzG{*W za2+fs&imkdE0b)dw?n?qk6r>Th5$dZ!5P*PuN1f@_L5WUw&kfCHal+;v1 z*cqF{d1$RS6b`j;G!!q&JqFt@Q)pzuRf( zvRQ?I3b9c6>6)maWMZv_+F*UoHATa*C?Wm1Nw@Yp>K5;9T>ms_dLk&%{Fd_3@4B32 ziqBgd6SJ7y3TC-Uiv#zzXtdZJW~Q~Q?j%2PwhXh#hdkPV>E;}YNa>^HNopvZ&I%h2 zdE(}_ZFv{-4}R6d8M(Q z4TnFJ46MI1q;pD+y}hnqFtivQg0!~G#^5venZYIm1trRJ>(D!hd#h+HDF0n2)>DM* z&xswMfbfiYTgys;_*T6^C7w($GNhH=TcA(R&I2^_bm)gvk$1h?=Q3Yrw zuXW89Z?9yu!FZvSF0;rP)P-9OS9*IOwgM9XQ9onURxANusP0++>F@tA3=TA$;Ua_z z7-$h`ytM-WhnL`{^?m2iZ~1Plu`eUI0WKlN%}MruoP|E0-ScXPnHaz%!U3jXkSCC=vMLj0DIhzgP37zvs%$uE0iFzcb+ebIq$BS;TnE`GUUgc@xVNoN%eTt>m}6M zF);3GkH!2f*HPpWm^z)+OU8P-k(t*%YMmbff}KSPzLm}Dq+=aVL*q<1rK-XK$CQNM zfgdw}ZC246RaaF_Mj`?h<%oNs2+OrilYvz7un6Y$gujPh;hl#?x~@yHT|Jx zIynOl(BGJlFxXOPFXk`}2*~EoD+hBmUJSO4MCd{7)sYQkln6kQMZT%*nabgfR__sb zsyV})+|rs%hK7gae@`(zTHQC*qxrYhc~CP`RBbPr(vToXI3lo<=QW{C)!Q+Q(q$;A z=wgF?hp{5qdYWLY!gHw4Of>u?aAH?>I3A#?Ml4M@b8|pg^d9`rs)FK17+2mZ7o!tS$}|Q#UrcHgW3oD9EIbMCb{5 ztOr`{Z%yffQ=Xtwx-yhh|0;QdBZQFrXj6Z@5|6~4;qlB9(j1M#t1o0RT$lSj?RvqD zKuv;+y;%|V!iDg+M>{{&vpN!Y`$iqo5baBPlCPVoM);W;%1KnVuui865z{E%tiV`? zmcD>usu6#t#y&4An`R-YIfe@4J$UmI1#^;>E^?}oex}Ar32O>lS#4*d#XQ03L3mlK z!nt+Y(C$7k(($U(re6#jx=6 zt(~v8J;OSWC{cdzcqS!{jtEQnOVO+ASyS=pKcM5G9gx~u#~c1*VKg?djjMi^VP^dk zW;?<#7#nR%;DG(E zEt+SEim;!`rnC?JR;ffWgp9~;g;wFlGHFm_osGI zN}}|kC|jWiozmrejf8;W_%Vi3?xYN?pn@k}E)DUZzG>6D&7?zNRL9t}(s2>g;PABY1iDsFS-Rn)&c}9N zKGW+|mT#|<=>#i>KXgU0F%128F47_fwKv~e9UHNA{j~N zAHW~!Do*KL!V%x)$ANuP!s(cWRTzJl;F=LCzNTV{dqDw5H6I+>)+y0Ctuw0z;nV$e37oxan0-t^zXq7`ufTVhG zL1D%oHg8y-<9)vr8u5?_=>zg26DmP;fJ)%Iv9_ME#p@3HeYO*43u}r?ix*-;hd~8& z{}4jDfMrBqR!;CJT*fym;q$XJDJsF@6EQb_Y!Mnfk$F1dO0kuberoGyHoby zdWZY&bl0dUoU-a(IcoYQy^!QPjOieLw67P8@i2dOJ?lH|LQViVI3ND;52WsVKwmlI zO&mxkVS;-fLid9Yjg}Os7A8^R1#vDsE>2VktWcaIpW|?pf>E$aVsd;w6%tWaw4&)1 zf=YfPG>TRXa||plgTgMGXNH6=#8HJ?1wLpWJM#S*zEls%8^n)533 z>mGA1x7z8h4M}WK&IGi~3kFtyyw>(H?{fb3L1Fr2eOs1|#3Ox?Om$u(rRBm9Vu{&; z>ba}yj$!9IvYjI?;=qVctbJKO6Z{E3c+O!E&$uvk5F<{#7KcJBfl>I^>H4{X!XApz zIDGn(|K(T5WBC@#tUn|0Om5jpZySznI`C}9rX4tr%GbAMCyeLxpbr^U?-oHw`qQ4F z@;fK9{zHb7t7=@;8U~0~G3a#bOD=7?oT z%lKHqzVhX5UDcu?cLHBT^3@barsfVgp&JluzOGw&fu&AB#eb4$zq9EDEbaGJS-%+0 z%DH$kP#~9tsZlz}^%Ii&Zmye3fX^w{^B;>PRdsP5FzE-e^t}jnl7RZuY;?j7KlAf{ zC`9w?D{US!GkKxUcgR`-L-TwPPU*sHId3lCPARiKKqm16O@mzq&8_S8hSW!=k^)Ae z$f>dF(qfn~!_;PS2aE=c1Wfu2TFunhvm8t<%qy`doy1SD*c8sd)KdqWea_1qUzz06 ze&s2Au1kY@nbQ)`ucX*)!#vX2?d%AvCVDQbl%Jo@|7!@iSobB)ODqpQql*hf0tiac z<*mFr_1m0i$y;oocWt|o0G%vx_8o}j`(_KgH2Wm5yN9)rSvd(ui#MHs^H6F z(xsSZkrFPXgkK}&@Bd_=PS{GQ9xlG>DwKofuZQocx+`A;O6+O7wSBY8h5b_jxWmz< zW-1w&N9Gt1p24}iG#f1P7Jm?&RypC$^$S)V5q-CWJ9;iE!Br#PfasJYxaV3?kp@s# zvmod4OjX5{4iqnKI98=9jvs1Y59)*(*9TonYw4Gmq|`UZ;_3*g+nR|WQzfiQGSV<~ zCT}lL(K;)VSG$byUBmblFZOGZYdS-}Im%z|8}L9DRLWFhzeL(|z0G&zKT)xaur&-j z&Mt3iY1d7k5_wz0yf9+hGzVSSOX?ouU!EBiB^?^RnL55gA8DO4LsQ6DYQDNF&zh=n zeg5>T_IRy6{p!(RW+u+gH?a29^*3X~d!~Sh81f@EL(AuKhUPGq%GH#r(Jx~e{DI8^xhL|+T)6`9!IONlK7zpeeaYGbr zR?tWT4`;lSMo_0?zAxdb<#VBzjG(##d>Y{LhcpIf$7vE%T1v2v#2cV`1$Zv-32B#x zf$JnB+V;Yb&UBCbLawVXpG+e2!#IRAoV^K?%DgZMXl({Qi|OksqadPyn0qjkLZXNA zdr?TIylegWPo^gx7*_dKa0Ryp;@OsW`q67i^fq-|w(lLDPPlz78f<6Yr#P>e`y-Dz zuwrK%Ah;5I|3ehf+vL<|o{b&pcI62CLz_vSO}>|*w{gO?owZeublwnqbt@D=?ybb| zgCFTbL2RE+c1OF;5_}cO9iykAgMM{ijR-F8D)_pVNP=FImjtbI7W^YBEcEH%`#M z4HFE!8C^*nj{_8cofPPITgg0x_UWW|q5?WU{jU>Mw440GM=iR182+#n7BFIh6E`1g z4otolW}ad@t|0%u9ignduO4g|S>lBlvVXa${OrC(^w@vpNd3$I{5Rj!eMe?tB`twCEWt; zp)2@y(6<7N#eij|%ICtMQR{=cu-M?w#kT~*ua@ImzLmF!Ba?}#vMaLmTi>D`l-v37 zs92R)b^VbEre`9VO8AChd3%?<*El*$iJKimHKYDs*Asp?rqB^?2|s%-8ysFGF<6&a zpwf~mHw+9-U0<A%@C3;lR1$|q>BgjgVN3V!xVcJD3b?5Oa>z8MB@XvX+j zqHQ3>Z^a-_g6yJWr~L8vB}oCT&_li_n)R{1(Eld#P>z<5< z&(AQ*eqnDnZ;kyh?9$6eWB;5t&w?&dTu6<3tjBfe&9aT*rTpM^rpN9>+KmZ)gJ9L2ZH>5Pn`jpnq_4B#|0l z`SkaniB3ki$5P+GN~VN2dA(>%BB!>F4Yq6eesOL}E*4`{OmL@G{flpfTLph^{%M5XgZGD=GT8z{`&9Pj|XWyEX-g8 z?}vs+!s5^jhPM~8P$lC5Cn4rvKm6c~;G@cuG$*&O3^OSgXHvKrZ-EHm$IN)|%hM0} z)=j@}$5`DQgK{vQM%Xmt5Wk^;VAzQ%Y4arwH^EVeM+w_V#Db=#u5iSvm%tR#_H2n? zL@ zGj~|j_rojt)>CfOfD|W){XMgy^RHOZ_dD(Oys=3ZPe@UTqW9j^#N5TEN(HXynZCWR zTg<0I6|&7Mp;!5;M1WHUbMbZ__K|=0Sua_Bw$W$J-(WKv$c95M2~7FAl;FDdA}GM& zBPGb(`5FvCc9vSAk-l)_npeCW)BRV!>`FOVHTa2-F9p1zq!f9NUt z;#IKGtfs}s4n?_T{yYqWb$&c(7CA=eSmnDN=VY!e2jIwhw_Nahp&`%X}&C{(c*I&acdSy<_wg-BUg>~^QL1nJd#t- zlf1F16BiP3INC$r-H|tF<4nf+I4VF#f}Ak|^5JwJ^HLx!`EtR4Cr6*MC5~c~AM3#! zK<|%*QNNZq{;Y>2jIWKxb0R{^=FqoA*S&EJ97`Gz6(805PVmyVEe;!AFW)IUa%&rG z857k09e(+IHAk?H`GXrLnw`a@<7i;T^M(8Kdf0E=nqfk8_RX+N9-}eBX`lcml}7nm zzj@Qwo0>-Aws_LnXIO5Ocdwe3rv7dri;)2kc~=S#9y92Am40 zy=T&)?WtIN$CvOUX}Ox>RAK~Qd%lhzdM=Jy9=?OeOH!iShwzFYvM}z}|3H?qE9Ihk zOW7HfoQG%Rj9g&Eds@TnG&jb9yo&PqSB&hQVDx(t`noBZ#6vb1zJdL?0{8k{IJFT^eK%lX9#Trmh!DtiEh$ z8<{%UtWIL`E!$(xr{8ga<0#4WULR)DrDA0e?~_^g^%I_UCK*b5rnKgBE_$yOOz+d7 zf^RCgI^*+>vqGHto>a(&3V~Ko0Q9xd9mn>EVVcU+j^)Eeid4YB$L)}<#4m&arZAq@ zh?faYnn<=SFZF=-!5o=1^fOh-hNVbe2-<=szv-qkf%ZPtI>X}fvZ0PHM-JF!zFtr# zFm?R9Ix=VpRhI74pPlEO3bG_|l6ftx1yf6>ews+OEQqpD%MZ)a_ea1C%>OJ(w=O5p;U!@C&-rfPYKYbp(E8Jl!I*a<-hDhX{F zU}?gP%u3m!Qam36vh{Aa{l_umE%ZZocr_iXBum^7T@1^y(5VemQ+3!me!4&>N$3DR zmb0l%0zyi7^E!b`mJS^~Ce_d$8Nq&hJ`m~=5nDg`gKxgsX#5TjXrWrX)J#c`P$t+e z$JxK_cYN}E@0@#ywBb{YD0w@Ws`gD;hdi=`OZ;3RE3ejMRvtJHoGeKr^d<-i-1g4P zA`BCnop?d!5Eo|^dEZ)e4MM9yy}4s>;9>H!G-Ebw=CZEyoh3=Qgw7kkVn`F+I0(5f z)6A6I8F+7l+e=SjO(nft9pz;1Myp-WB@&~*2_IP?5jg&@Ns zmkLqzt+g#^!8B(v!S~xZ!g@&p z{g~FmbrL45m91io)(*pEYaHrAZF15yjfgvjH79-Zb*#M@OOAL&D<4hWGmykYsbR$Y zj0tOL;JefJvXr+YPJ?ijp_RsLoK;Hs(#au7r%HjF#;Hze9DZw6<+Gr=P6HyD<(`KH znXy)42E>b{Yu+l0QR^z6y?LiHHz19M>zgJ9TF=WePwOTAx7I1&kgZ!;eVh!pDUoCR z&=00h1sGPQw)@d4NWYbg_;sP!mN#FFSkUwFpJWaVwVYxuJ6UOQAuMjl0W5JLV- zUm?VTo~^IU4>$>4yh<>fO_57P_hMHu;(!z3d5Jd-sE_%R9qFzTe6oQ-L4?TZdkN-2 z8miNfnlVjNK@0HEt#;GszFB-Oi7D8_bs7ZI=iy6m0?LUjH6LJ?&Vx0Q9>j+ z;uEB^#$t1Yy4E~w*S0fUt3)u(P5Z`d_^0AS#|%stUf}}f4&9b*LCA<0nuj!JZi(p zRj$O!zjX(anTSj#@dpiII;)=k@aowQs6Owx=l)hR?|HvP^*{cBIV+z}DDgf7(Ff=e zxV0VcQNaBoTO?dDe$2Ow)0AFAG@*7D2_j**qWVh4R^iSe1qL~=>T5nve_5YihJ+H= z7pT&NNXJ57-81ooNmOHMKr#Z1LQiu-tILn*jos#5y(l-!+Xx8O`svTlu*)vx>#OK4 zH{YL?jxBQM@nNLKc4@Wy`IMh>A>-XSZ|8N=uS)f}&1pH>F9ngqohKY!()3N;z7Qtq zCRJvc(Sq@#KDkUx5f)pzm3PG38IvP4y`!|WPxPqHJnJN7HVgC-^0$y%r@rY!NQPS~;vW@zwmH`}Ry-zg zTyvo}B$;GmA`K=RLuEz`E4!$Q4X3Z%(0zpETa}kWJ(Le-*ca%lqcHng$MRI#&8J_L z$K$8Jcq1zYYgfM@+!mfIk*5=7D|Y8V(|Wq~prsQNWySndWhnH;&GUdb&Yiidpd37^ zs~(9r>iRSD{l0_(_&gHo&fHi8*u1any;;|r*L~dI;H@@GXRLqo4}OQa_78LGnRtnF zWPN4s>AL1tZgJe6?EF|t%BG=7(0>mRAi?k`2vaAL#7jXC`OdDl4gKX`A;J(Gh>X-_ zie%_8xLAVklqa~}*?l{g1!a@QIz8p={}_)FPNEXYk&GPSA!3rux?&!Bdn_c9lf&FC zWF8AbKg+@2PW|&HiOjl8omkU1E7U%gXdgjC&kI2#SUm|dFckaZ{MsLN4Dr0z++BK+RJ;1_;YB587Gt3uB~951YfL9^4+NPQf|r-wCg*|B zB`o3Mjl?LipwMSf)bX>IL*CiBhA>0tU$09d>+dhuM%0NV5gJBbSBZY2pH!| zBhSUY?hM(>&^&S5Frc(o^J(73A?_v{UI4vS5L@DwfHB_|l6BHByRuMX_NwklW{vam zX8gt=qIeP&r4~&ypPnY6<;D3XFF93tyqyZZiA`ZZ!6YP(tSI7R~^RC(?>5qquu-h1u6*ZRKD`S?jW@4)$>Hos_2CyPP}pAEta|9is1Z?n|5{aEqKw@U*5`L7(u{m7kVKWQc5XRU=CQ)=#Bn~}F1PlXM zNCZ@dy?i8QR(T|n2j=or6(s^YxFrz>Qjf@ruLL3yz^1v(!}lo?^Koz?6H5NqGKsW1 z!?4_|Y(hswqN{9T=5PF)y?Li10SBjfYcH493TD*2r+3#B8hVQGWhY9QFDE?uDTGuj z)ey{{lMprOri2f}w$(tl`>JhDU2W|(JRI5wmOC0@;u0_j29|K|XdfZuC6AvBAhJC} z2N6!wht_>Z_hOwAgTW6&*TA^z4NxTI@t)SY#0ikiN3P!#f-dGnipA|tLqVD+%#1j8 ze8>3jenbb#?$h##kMHHB!zr!2U=^OeWk@^}PQ{EN%2M;y;b;;%t z#|B?Y7^`*S`S=I_-PotRUhLzq{`0^2vtOfF@%-K5`40y%Ux_g~ z-uHduePktaLQvR|IJPRQW7RdiroZ`(UxB7i{^WyCe)X5lzy44D>rejRPpJ0&?|+?@ zpyDIC_v!h&=F{^xp7zh*m=(|S)KX*|KBt(&thwWaW<{Dze5ZF^7dy#Gg4=}kXVX>B zyk6)=9v1#yD(vC_ujwu&6uz~tO7y$>u&1*B zp(w!`amsfk9fQag5LkTQ@ghOAN?fC@Fm?$uAGy#Hc&b|ccM#(ZY8JX!r)~nsl2ocCs4x9^cL_pWNQdR|PceSbjS{$2sW(Y%D7!m!uehEv zDnoHJ>Lexs3M~d|BLmHfkpl@wIlG)RoKrmGWtkaoU5CKWSi0E8DwL z7SG#Yp-=*hTTG$%J6`d$Fee%m*ID^aY1%GdHz&o#cw<=MB8Pc6aP+1|wpV^wnqCmE zLT{oM!;?``S9&MWobg<3d)e$O2AXg@+CDnXLG$|YDo8Tp@_C}(A5ZkgXfG!LtHB0x z;_cR^%^!1N2OvX4eX6KpOK6%MjJXrToN;KSeM1+^Ok-Kn$7Qhl9Q)1?en1lcrFkvD z7qn2Ce4Eq7K!1j_bbjXZzxM^>g59Wn%9QVdnY|{4Ok+K8i8O_Exz6Z{hP|K{R?doa zTWHhjLUTv3KZoZcq!aKA;+>M41l!h8NCGAW*(v)J*2uPyR#OG?lP?&ezJCZ51P(dV zzDe6vqFx{USoU4Y5ELTYO2gk$z;$CwVr3-;b81-*o#KtfSZE2Ph4`ynU8+WGh2bSF zUZ@9?6qRxi=+*dNFklU>`4D%w^gT3)-|DG_26mOEYCcS}+h^%kKhid{s&6kP7INO~ z6tG7xvmw+f91oI&Y%bGwW)3(m!izDHLf z%P|-d0GVAXZ&TA$KV@RZ^F0hE7Xu$oB$gR(ll0q&By`@h!&PMY#=bf;9v)|wB4f)O z)%V1-T@j+tSZmtxtw8Gyj~JsW_dPFwDkm{^bt;ETh9Ru$bj?5JDFepoJB&ya2EKcu z_+cH|<~P%OBqPK==_vT-b=I}*$PzqF8NBD%gnEt?yxqGv6QWrtQnVGxQ-_KLx?-Nu zTS^s44&?+oL1>$*#_k&NSu!Qh0bT3Q>5a7B1cS^qkfN(eWLQ6;bH?XTBz{3 zg_-4>J)Q8|ENdoOhvc?Fu*60}O@)l|rIe1VnJeiojmBz8GH-#N&u-fS29`*y zU2S&iHSeCJybo6O{om}KvLYXn4iHo$Bo)iRd$_cH{$71}!Q6PYPMhrRO1w$WtnmYW zS?BxI+&zE$@cg^k3r35PKOOUW?1nY7e!wrK@MiN7icyC;@qve9o%Ybc0BAS&gaDhS zxbVSqP}tP0b%(a1Pj~x5A%t;BXt5i5-10A^GB=kK(StEYtpcVflx$uyzKkY6Vscfd zs<66)B9dY67I0E9qB2!SACo}9r_qQ_)X4lF6sUS;WpdX5;e;ohZIvS z&n(Cs%>!T0^D=))5W@$H_TVwfao6qIwWYs!LF{oHuKX2!knOZ?h)fmDWk1(#5b> z&kIC062Lb;h|8f%{ITQtrSM6xO=vB>+M=40Lupv7_DwuFj3gKWzM9~uuhho@%SWcc49ZC=dnOdv%Gmn7^o z+NSE*N?$hDo6nFr1gp)9d3=i6B$o4B^C?>BMx_IEZzz%W{o5&U;=h%Gms@97wS=I< zE@}Q0c@F18`^D_ApV1v%;-d-cnHui&wIJ|yvmG*Gy(xs>7nL#*E~K_Eh*U7BWbB0{H7x*U%J z+S980-xo4Ncc>oT4!bTZPRbkMr%kop^WuCQbN?Y>kd=4T z2v(}x&j|dgpD2v&{hCLt>X7orFJc5$Z0pTO$+E zl*z_?c>Z3&CDKW7D6?-=AdwKsaNh3W*zQSiOY^$opd(7j^S5~?UhayN0lRyh$A9$W zIvAmkgBJhB;R&qA-Zmtrr)yye#*AzX6Y`SMABb<=^xzZ}xh;Jpa~vdInS@RwX9`yD zi$H9fcU0m|=;aTfTr|8K7TczD*u%2b6F-+0CDXOyb z<$Z3OXS+%TtSf3YKjPg$#W}1$etVUHDnlq?y3v(>ajS#H`HK5yhsCZYXpO8P8p>Cx z36~{^B#t|<#)NOJ>$(&{IB6~hXQqTZJrBoJV8Gf&N;FK9+%AE=kX*Vc`G)Zjjv2f<} zI=+-uv2Dhzu}C+vZyt!5b=1PHH3B`g8Rktt5c9v)Bw`OR;}{3+We)qNNVS* zR%&=#aTF%@Ud@Y*6DScitHY(*B0ZzmOu~h>lR}}zt3?N0iH5?!nM?+guH)P5B<4Kv zFO-~6KHgGz;*CTPM?V`$8xp)V%NZm7o3mz@xfg^#6xGRGwai4HrGAv_oVTq!c7bJs z#;S{E>fc_Uv#7EJIA8TzRg?Lq879>W^U-nV+GH??&JU#RfBr$-0SKn8zEHo7pI=OQ z<);E6i;_QnP=|pZESnU&Z~Dl0XYqwV6V)*O?l)x3Va!_;;wOEF>1p8bh1|B1kgr7C zna7lY6~LJAFy=`HE3fO06(z65yW)JNq#6gIXJ8%Zf_2+PAnBfj=+)Qip!7AzOfBBr&0 zabFdfZdf@Bj9+03_)&rBqGrJadXc(;~?A7>^H@$GEVlMB~)}J`B+5$r{bYIl# z2&5>~;nJ_TuQg`y=oU&CpFuM2B|{}ixC)*Yd&!U<#p4-wCY$uKk;o>t9++eDXj$x- z>Qu$i;{#D3k^AUo-Eev)u_s4j{1S+J(N$C0)23Whhp)ax)+!3zOaQnoPj#yF4@${` z2Gjd9tO5(yVd;G1^Vphr*fxa;cKFRyrzD=h)i=X$`WvhcU51lRbyg>Kqrbc(^Pc%C z2=A1$Fz==5OU36QZ$(IhB)DUo1P^%W)~p`+(4}0yJG9s3vZB`D0?;Zb+ z1}Ti{xZ|6`=XI{+ z7kek?i}*qAv0-4N)%8gdA2quimExAk8&3oR9+;+5~MM&T<3uTRsVI3ZK_pQ@?9 z%QTeG3qmw7W>RmFk&8`!CL*)=Ed=Q^OOH@fg1Nrb(4&cdHJi5(mK*z>_<_+B^Ns)E z$FMAAX=@3yri{$~K0og%s<{!=**e>7Sjv*_cvILum!yVHWN_6lGCo%;7vo;Ax?Mw6W zp%Yg##YLW5Q*dNSmIMZE)`vAj&&2tX4W5Mg*Pid09*l>@Ci=`9~id zF75Y!)xv7F?*ysHC08jKj*yfN5isyt+F}*`cX#QDMi=m3R0&lB~qsRs|+Y$<}iuhK@9vl_@tw^>z832xBImT(;9AY^N(Ak4`soj(h0{wxp4e zyi;z;RNPPB_O_L6&t#WW0D^qOAM5PLp-*iEG%mFl<%Mf+b2%zN@U0q2WDj zl8!^HXrjcc=U0UrGSuDW%2u=lm|51_W;7O#g^M9~))7eVoBBLTVE2#){kp@PMD;mI z-KD~PCxxNQ3i~evSNQ@i`o>HHFEC*EU5|93AhO>i8+uVcKV3C7joz0Hb+dT7RE1I+ogP`W#@5mh zmxx!jZlY_Ze)fs5@k!hhN|wm|sLDrP#dM;;=mF%1M7oVscA)|zRc2tn6!V&eH!X3m zO8u1a5F0sz?YFsHrA*uqG}jody#8Liry(07skMiKU~OV=DM)$BIF>wz`Jy18g>l4= zEO|D7@!rx%XbSAwhg`v7o3HXa*h|gx2enY!JaixZTCRC+21)}(H^JK+GwT@p%PSnQ z?E5UOy0&DU7Mesmz9MBokz`v(vz)S4a(&zr>}VUi$J%kh-ICdp{FX$6ac?(DD4 z`%}~ZYwox8YpbZlUE_oWDW~TYDzvHS(=RczO#X%xT9XkRtiZv(>_&`a_ErK8^qylS zA;GM?_XzCp9uA8K^W5l^j>o9cRbsg-U%t1k&>oZe2gX_Az~|u8cu;tq47DIywcV$5 z1@q!YQtyBTl7Oh>7R52Q*GQ>JGWS3V?^sYGP&QX5^Ca4RlJ1W+GNt)yLrj;dyxh@y zy`Wo_dc$Z0!mR&GK{eqhqbIrCvAzl%hWVqLljn5?kUOv`=kDu*o=6jsEd6e!-6I;x>mebDjhp+Rt z!YaW_+_o|?W1l~0uGOK0p_EY05Ot%llEu}6*MFG$ZQ4iy@%Q^3Sr(5_WbV2)fBvwp zF{Cl}(`&^EZ#~QHT~8a$XTh3hcX0@2q&IfSPQvoA+hS@7@LpX#q}QcPcwOqV(gNOR z?lZd3oP~O1{`Y|3hkZADx>n@!-c?$U%Mi!9;4$@oG4v54Em6k>eGmAuD$Xlcie_*i?=kEZiK-q@>r z&v_3zVyO)0*``~kli%K|6eOsU7MAOV5=YVD7hy^>3m#Ii<Ap2<(q?gYi-&XX|xVgt;`pul@9*!l-D*(gVVj2t!D zT2K)zW%TmyG;}NpsS-5dMSdN2Q{&%-`PJqbYCAqbS<5FVd1i7f0pmOILRlSjWSfJ9 ze>~H$C#0rmQ)JsYP|7XmfK~t&s7(u_rj9ynL6Bb`=qI>eY zY!r#d4Un6w{5^}?1l^6*TTh05^z?bU$>^s3Qjz=bRVlBv!0?~T3C9DH@C@98^sM;` zSry{zcb!u}TvB1R)Yym^d0gCCqx*_EUdxcEfb)hXk0#7f4xucw&gwlGvwvAmn(RFhrPQ9L_~6ICj5`d zL(Gl$yBtd?))5A{tEhO1;$5$?1gy>Nh4-xxOGdHSQm?KG`g6eXe1Q4bnCFZ%kLE)q zWI2S1P-Sf7(oNpFZ%QlZF(T|T%97}*atDD*^B>GJqVPeJ%L_mSh>f9_bvWg<%XyEyXEOBIcc{bcIT zYrgVhp~sjlMR?Lqgj~RRr5%PQyNWfa%>IjQz9sN3wx|oXl;a7R!>a15g9FpLmwkYF z^880fd2XS%AI+K`XIBO-U%#nhD1msTO8ptHy)K@A$4npdM#Vyvn37nTNOjjW+-vSB zn?R!6;C})EvD~DTXZO3N*17K5`A6xA^oFV670$jOya~p3S2K*(q?4PG3jG%BJK4mx z*}ZzRp7NR}*mobA2QV`V@|Yk{v7*|DVYtnnhrqR6ss)03;+@fyn} z9k5_6oA(=WA>lb*$2)&UUDy*cp(W&=Zjd7nYa*8ZY*uM+rYjI#I06w$oQES*sCT7b zJsW3Wcj#K(jQ6R8;Llrf4sxTl3KGJ)QXMlCG@gtW)K_6ZH=F#JZPH=9m|rm`>Iq^u zhCrxZUv9n79PxFnSN(4>s%D>`gbjmul%*URVY}uqT)B-72tvI#(bmXtsIm60cpqte z(u96Rvn|&1c|$mkX3sas$a88kYfncdcP8o%AU%{zrZ6=WlvsCcoGyV+XM({ZPsf|J zF@;NsF-N8Lj=c~^PQzck7F=YDweFN|QD7%h=tqMf{u-ALhZ|*rYQ=!TX%xc<=WN@xbcCO1 zi55+~?46(Z@i*}74Hw(0ab|o}uJu?IyjLGctO8q{r~BmYEIDD{c(o2I1?SynVC7Om zZZG65sK3fg@H`|7rgmnj{lQJXUnY@?er&UaPG1lA`T|=8DPP zS@Lj_9GhFq_Cam==6;8x4ef?)SKuS8Vf_G#{{Kj63?gHJ6r-GeR8q`iabE-fWr2tM z`23;pwaF#B-HQahNDRYxOVBfw9y|5pMJ1+sZjRPA?V@V%{~QBVXn_%&b?wVl)fUja*Pas&!a}KD^H?bZDnR;Vp57VKt3$E69;vG)RdtB8NMsKp z?#P-L%zNGGhoDG|3y0=eR7`mV@xuzuU59Q6?RjEfCGPnW(S|b#)FE`{5`h@l?LaS( zk{Pd`4xu|w9QKKI>*F-ga|$9W2@aa1j;5-e8?|+MnPClchgqanFq|-O)@Vi|QHjtS z(|h(j{Wu*GJ%*IPu#9<5FQBhLFc0=s@uWJ;@6-FnfAzU{-chdl>Rqfz*O{25$FwCV zSz1&(Lt7&Ht$T``Y4^nU0+OvFUj=WSuP@dHXQl$10AxU$zoog^nto`&evucdA5?yH zWg9HLxR>X%ZJo;dzq&MobW>9>@Z(Te*`Bggvj5D&y}OGFNAE%OpDOj<21_VA@h{W% z5~KGoe4Dh*Id7jbxl4bm^#A8O3^w9bKurWA?Dop`Gha1#eAX{pUbU!4kmgSAoni6Z zryD^ROJ5g6Jr^@raLrzsUA{5zjFOm=gip?MKBdMuo35+B{Cj`k;y-iewmJc0pT(aW z-^$0w4a}i{Js3EiEza)*FmzJ&?RvAZ;#k%;{F8{6y)DB#vE4-uNL*N2zXug&={_2N z4oerMJy;EW0M)AvO+*P_Saa5Wmp(g^J$_fIk56UbZxvy!Btn)rS{v@6M>6Ue$=JloJM1(Zzm`DLe5=YwcU4{?zh;~8LhrJ!wim0cwp&5V+v*ZxiJ^UI zH3jWyCyD4Ds7W%0JoEZd0?0C&Zz_NeL+nUOV*0HoJ^|EuNyk)j|2yjwMRae{n{)h) zH)BSuOF4F*6qN&!^`rxFf%6}l5sT87=uz}2Of3WxrW+ZNS=uU79ZYvgP4pn}5ntxr zLNTJRNh*b{!39Q$wsG*ezc=-{mDLaF#KiL}tAfpgU51Xf_LaCktr>7_$;psd&m1?g zYy8FtfzTX?SV3|G9br$P4*i%R9t6t4uFlX=8AD*ZyrvrqFL2j<_C9WKLKUZJmGa2D zpY~E`>On&u>}P@pX+ho&FaY9^3oKl7OFCB1;xlR5D2f2yeDzS@nF@O%g|Q>H`T1_D zR3(w7qYqYoHq6{?HU6|+eF_~2v`=N59Qo3NEocQjowY~aL?aNkHmU;@2 zov=BP+C=@{@^)K4lh6tx0^V29|5#DK!q*M*3-s5>j*vcKZBu}n)^W4tA!KWQsnIcI zpQ6CEG-xM(7B}Rv`ZpJ@oL}K38n*Oa(o?`bTz!Q_INKaPO(aqW;e!ybq`Pt<*OR`< zC3DxLghVtSFhQHjI&B}D^rdt-7V3-pZH4K*t{Usui3QkbPpPk%53su`v*`r6sy<{b z8>4!9$Xcyc-FXl8Y9O3{*y7JBA_H~?N>XMQA{E^harg+;wrJ@>5Nux(BO?y-7cSqv zX^41P=fvAUJ&4JW(<5|8$WSFDPrsNNSeyF3=j7#7dIKij)A& z6`!5HBs+K^xF3oSksvVdYb}RIEiLi&C|0$*@JSoWUz_Mb)VjO;f&9>IxiGw;phAyRl0JbXiUYU(8?+^%uKVaHrUN(B z6?#ji;O3|q+?IN=^`m{qCnqeSdK}YT0?nTC)TU~*OzZjm-B|ww#&bhX#6CqBg50-Q zkc#Rg7QXU+Q@XxJo(S=Y(`$KC^68&XUOSUbkMjUp*}NmF+<_!nbWzy~{0-q4vhmkuSFh5WV^TK-1nte?$(S|C^V|# zay&7Xepacn6I{tQy%eIm6+WayRHs->1lmi5N-QS9}g@vgq zJ~vDrTJ?p_H3iRq4I@;S&FHyr7JPgnedSiA6%Pct zji6^F{jRVah(E#^Hcnm=Hlh}RrgAzATgyHy5J5vd=PCMztC2wp&bEnNlu zVs}%1Xn|NdA(2jiSqAwwu^9Jb91bnyFCTz;~0_?_p?!|5ZRhIG+G(B20u@}m8G`;JuoDf2xJ&mV#f|bKdTiaVi)H`vMxN}XDsz55BRB&ev zaq-d0aW#Ozaf7YY^Z492Rd5x4AF0fpV2q`wf3*234pFmv%`ku>+l!(MCud|y@vw-!#?t`CtB=@SgUDcJ#6dYvxn@YKEzV~WmrA< zk!?u({Q$e&V7%mxCR~x4BwEzsk=_J}8*Sk!%M%WPe#ODNkEV32k?MW_9*bg~v3z_f@v4^twh+kAK^vai1%W z9eM>?yihw`Yh2GtFGb_o1ZAqTExqv}w&wq4LhGR{E$yLV=%7*ET3QX6ouy<}-EtZ= zi+)(MyB-cR?Sj8L>K#??-e*NE)T}1%xOR$?;;A;)YUIyJ!G^wOA?VYG-8f@|sJ7@k z*ji`n&R}!}e%*)xqZR6^4Qfz=ag2CY!Asb&{dHT4q?AIMV$w^LXIo5$7Y4;-WQhQ4 zTQljJ&`rnzg_7bPnps|_t?KaXVLy&4EaE&M3ls*d8xEMdSWDw79raKW@~wR)JdKU8 zlgOrjg_baUH-U8s<+!CBcCICc@3cf<1+GC{Oge^UHw1?7M!XEiCUO?W#6F)micLg? zeqvU<35r8x#g2}^%F69qR4TxMAe_QSyh&t|QAmQZf8+D|f{LdqwtIOUsHN;ZBbi|L z&?$g;4g?!kK|LwG+RVfAw|TFG9_u5oLLH|hPu~O`*2qS&m8SK+)8fw`lD?K}FR?%Q z#0U}j*I0l@#dP>;sz)WqW2d-XoA<5qx?4Yg$onCjl=*_a&oO{^)eyR+TRrNbo?#_nQa+`9>&ZQgT<|=9 z>-j_dMi04JI}*uwRtR@q2xYU@)f#K`JZsnRu0)Tl`Bpc(IF=Ulw5n<2)!qI5tO;E- z;Y{8`p-(&$6Rd;2m3980-zWH>%WR7wvkt+dfM zD#fKN2`WL?CWWsyFW^+yPZK!W5`=+Kja)buDGacTP$L|H3ZYA*^I_yyHQjT_%yFh; zsn#3}n&YvQHr2-{&R9xupS)KuNUhj2SaZ>bn2SecNHJEK?!!%1;D{Pn3Xxltf_OA2 zg~~FXx3(Op!qAfV^`W(ic2LS>A;Jc$MFP{l1AV$~Jyvujmo1NIC`Cu-_LrMIviflA zCc|K|65MGnAX1hQpK)_H4*^MLJ}M zE^KO9I`1|FXx?lTO%@SjHhT#Kr@eeU5mBBFk-og+xmW*6M{m-Gw*U-F)FsF7-MTRc zf~}#@(h_!G@=(s7LA+?}CPzanw|*g~Z`+J*Thgz$u8e>2WAD5pfcNA$qD4UW6rAmJFB})HuHwuVFM|YcDN2rs@_w?)clE6(YA~vMOCS|0^ z@O9AcE#Kkkg#Hv50t?k%#3ej}q;zIUefsMVqCw~d9$Ls)W9;Dj%JLbAJ$#QrN%%nz z-Dp4lG_bfvcM?CjAiLsW@@@n!u>kyG#nXkdd zn%FhMLRwCnKJ?vy{-3BMSw@>l9VBuf_OO&W9uep8VLr=%bx2^GkEbKtnpeUzHL-{s5habeqrQhCmkDxLNp0~UI1exvCs~D)Tmpt+lK|wwY|=Fhn|VHbY?$V= zNGv%;;mZ4hU>2xoIp*Set7wvo!-z$?kkD=+g2%KWy+t0=l%gzj*kJptmSe<&WW|iV zWY%Dq@T{)HlV!_17VR}jC|N`{vyc!H<^bcqYg?6xJ8}6@=)A#N4_4-Gl}P!%#x}s!d3DGiN7}2=0kQS<%?wFt(-|V zE>4Ru!eIrSuDWG8#3l(<76As5$%BD*9~1pPM%_d|U33dZ9}`t-U*5{(Ehf=16CHYZ zaSGY1nAMxBRR2~^9DDW1%G?w7HW49BF zTHH^1A+|CN9G66xDVaj5CG}|NjMSgLLCYXXQH4$!V!u@pmnu4QD&rduvSIB? z@&%Pw6`W{KjE9Pl`Zc{;c+6RrgwH0fDNXOX^um=GGP1*53~rGxMs?2W1r>allqRYeD@4Se9B63+sNt6HRb~QVc;FbcDT>W zhg>jeV5i@1e5_N0gzFe;t0u_|%_tqf%f_VFB(_X~nGG2@ii4JBMt-Z#1p7L5JjUN! z30Y<7FdzZqNZUPTw`$;wNCoSji1P~&+2{M-NXYllNlbi?}n>-m_<>@>p25KwqjsCg9XIB6;Pd7sKoG zjaOo4D4RU>V@~{(=@~IWR7`pF__Fy>-+bL2uQD9IY5RN-#(~LP*V#FHgNW)LK4b?J z=_86a)%te#I7^}byT1#+MolLB!wy^Au5JlMLO6{Xc!cj-Bgb3`yVY96bc6{GcWN=% zUdtY)i<(JNGV5iGIWDg9h+Volcjduwy@gbf@4HNC=e?jLiiW^Q zB!DX3!ELJfcu69hcqO%CPm>qv7Sl|8rFy*OD2XODoTcuLEn#Ms#dUmV6!514O-d4? zZMEr@)74#Cm}W`N#ylU&r(=eK z#=uu3+aH_LzRK3wveg1V7@Iks2A*;ZiWAK^Nd_ST$-E>a$S&BI_UTy)6$EZSjFLst z_8~9U6}>Psg0l)cr4^8}Mzy&+jS;7vnxBf%0i`dEFRWxD(1+vtp2FJYdyt0j?g!o? zM%<@|li4+g>xPM3EfFpya#%p=?)kTS;9Z{p5t8nx@|v*iwsg%dcj`ArFG|3{ ztHV*nznDzAmG!}_>U@`%Mw;I<>Y{1V3YCSF7|ygys~Sy& zCB;Y|h;pk1{a|G`JV8^?vj@QzsSYOJDa_^sEv=Cj>y)7@S}>uU=Y^{vBY5N}SL1(k zK|VL}I$TS7QdSp7wS?4Z0uV=J7JWP47gi$t4KklsV{yG$WN9L2RvZknbw%%Gh!Um= zmH{u}&ukwFm8u(KU0+JfpMP=#df1rz+(Fp3f&>M9S#_($`dIVgzZ>ipOU_6=4i+b6Y8ldRU0v8 zrP*9s1|X2PXG2Vt44TmHyL6rRs&GPbF-Gi!x*VP^Rol@3>GAZ&*288}$|+C9ElDHp zgkXEnCk^2ytka|g4=}V3X>m#qrY@xlW;giAbx51BQ4$%me$4VjqXMjI*)cU=J;E?} z>arre>lNv4G1!r{Qo{l4LkkYjKBqy{*GhHd@j^a>YA3*Iy*O5qyy;63Ijf}P)#@rF z4Wrx3U(!P-ujj9td`++7yPRG3{%oN$i}dX+iXYr}%u)k9M|YS4Nvn>rj- zVLLBimJ3|&j$J(;_eZ(z>j%EK3QH^WIco#V`xnPO(emoYA@5K|up3C;_I$!lS`-=x zU)v4?KM^rMT6t(p9B*g+`j{4n3#l6vUol~(Op(Ul%`r7#Gj*GN-j1Wq!&$wNaRPl2 zuW&4Rje|MCI0tFGzWQG_IVa9)P2uRz30u=<*m|Hjr~6VrdN8Nhun{{6`(xj*I9lNJ z@~Y`@(z;X1)#8f<{NX|jqG6m!HCGWi`E;RdtHqFO$qAtx@~W<(pE~wE$k$!D9p-e1 zg<+V4lR1Q0bDXxWeh9`1^)QT3GzDdSdp3dl9=#!qlRV1M2U>HUdHGof2Cu( zNwG&|kfV~`HCzB(-@83fj3&L1v9|9wPwkhl}a64@{0H;m9;D(31db@hU%Z)+vARv_dmx5mK4#$vFphP{^8 zz>Shk#q}+i+6aLsc9uCf>k0k6Xb@@$j+*xbKS(&DcqGOj4Th?{XG)o4Wr!)E}YJafYaD> zU13{!OiMvn;l1G(d5M&Bd1O%{p_?N1p$#=<3G<;wlIBu8^2Ra5SYfC$79@krV*L%{ z7tM!in_cLF8pVj<&_U+D@ls5*BA+YQE{AKG?fdJ%7G6ytAOv> zj?*6&kVLy1)wJzm*Dxl@}d1o^wK8d4XVRvYwYgwt#1*08Q*>MA9v{Ir}@|9 zzlB+OK?xpNOvbAma*mG`c^*|V^4$?fG*6`>^#NiI?LYa-(=O9r)GtTA6fB@Lt;J$9f#$Ofj-PFiug?^u;6rD zM(y301cy8&1|NZB5tprz~Z0YY#$aVVc^D0+UZ8}NhD-gC_SJFohwmr$sBbO7WQRrEZ zv1O~2SX2)Ls?xzg{hvg$x=I~b7zs$l%R-&Lzg-o;gX{FtspfE7s3Wh$2X*-H{w$7l zKd7vCEgOEuaz?7XYHV{7kVkjHy1xmr)WJIno%IhW8958Vzw>#0{E|UgVZE&Gc>_^z zlmn#EX%YE_-(t5732Ig&*_!Ar@f8Ok8OmK3KHR8hhmOTp=@D_*kG zpTnVV|5lddQ8$mDFqrZu1*k!D1zHq@v!rayFHobth0s*kDbF1@OEAxQNdK}PPUJYc z(!&tZ*H^uzeCk_u?Q79TLZ98$_z*e@A!&#WY&lq?NUlNJF}X`Sp5*Nbw)Ld`+$S)A z7kX4{PP0}(X}JUrPPI)(K`hm|rHWAJH_P8g`l+GH(cbX-fGlvf?HET=QjJp6+@hBn zAU6KJ9~p2TrYS>tjcwKKdXMSs(@P&%r|g8Lg_)lj8J|?;+4hCvY6JrDK@}todBibDGgOrl_4R@z z-R4xWrK;FpVNR!pik^E}%+jzC;=|WJyed{xNMSjYaNHY}6q{5vtZS8nK{H&AKrM zZXA!Kt?m?j$nO>OAT8!YrnqhtNYz|E@FnT&Za=3ElPm@GsHoq zuZ7nuIH!CUR#r{6ZAiB_Fiv^PaS=o@Nv1|MLxXP9f~@nK>WpKaut&)X;Yd0BfnkdQ z9R#!MuePI4>s5)w)k-vLRqVrVh2b#Xj}HTM7FC?3J9@mKNqt4THt*Mnlz8E&<>fgd zjAzS{*E=a#|Gg7qp5epi4}>H_Xq6lsA31bw3A6taBRnisy@>t^{{)_-12d!Q`3Cd_ecj20aPf(p)9C-O zqxC1Y7>=QF#K345N8~BNJ(hzQ#(n6zq22Sz`#1p07xY68+yLfL|4m>8IA+<@6u4Yg zm6B-X$rtzp`=^)q`it0xCVqiA96Gk+^qG6)`0??D=g3>Imke2G2^{$&7YE{Al@EcC zXK{QUg@Hfhz4F!Pp%n)(=rHkC!C1K@#Qb!fFviy_vXreN^>N5|R2%>JD<0={1<*!G z9J{Eei%%lt8K?uSW4lg3l6q#ha^&Nf@&0b;qAWH(_H@Z(riN~Zsi|M3W@FlkJV?4M z1SI5RUh+5|@%Z@OpsFunGx#_OVysasmL^aiGqoT4>;dTZM7IQFIj$YMA%s!pXqDjO z|E+f<*bwU6JXToUwUu_yJ8kuW486x33vbh{A8<@zM6=+L$dTZr!@vuSAhf9~ma7R9 znTI?~nocM~woQ653o=4WFcpE@_Q>*3Ro0+kgXo+WgUZggdSIOJ%ke7D!7Ue~bfdj!4gk#^2hLV{9iVN_e^8Nrng zDTxnSbTFzDp~vDIJ@z2<5iBasTM~A75nqlqV{NjA*co!h?g;va6IFk`qYxc(ar{7W zQ(_G?DfjT*LMIAV3V(04FB!9`Pdo>jC*-^pB5Wj3Ru3(|P0wOx5d!SQCrSxDWAGkU?Dk6km&pX(VLUec(-@Clr}W5cQiap8_>0i< z8$K(d4_>pXCmx4(d0og02qVGQ`A(sl9tg3P(m{@aWRI!gIDHlnBs+1Yumyz~8Vyup z5~wi0jK?+!eY6hsrD-LKuoXP??4Aw59PjHKhoWXWPBE8x@cUo--654@9!WoT4DTBV zhbFv+F%MbkmQz_Hf|w$OQ)0#d8P2Ut?=Z)d;E&jyYErVF1$*ud3YOw}sIWsWpDw+o z(}#XNm}RUX9j|pI&~>2^O_NzwU6i!E+Ln*|K9a_fSUj1C^nl0Nse5hBnVnwHCsarB zT5YDAR&d;Jw#-ZNDu|#L-7D6^x_YQSO;9;>2uv*l>4_D-O-~xK77I44^ZT4ZNpDvV z1wldC$LDWyDc4~p=Di>VRGnI&`!DNiTR(qOz^)eRVZI&ns(~%{$OyeH(NIxAGA6Zo z_LJ7_&bpG~pcbp|Vs7h&E;;u>EBW=V_9Gs{WGP`#ys9*Tgd ztNGJ07gz+vTrQz5ONnq+(k=Ez2)xhesM|TbA-zQD^(_$U))U)xj!`AtM?=DBR%FKI z9R#=o(<@ik(G#^WN2aN<5|&TDfs(7D0-%YXV?W|{7)OG@g_%=-90{p!cR{I!q2^$VZ;=im6NKmK*AtuClAdPUrW zF}m8O!>_yizO#~K6&w7`q{Er0lB7qi>#zRoPe1;{Z&M4;_QQAYn%RzMdCtmPNVn-B zqtm1o|N4LXH{bgciqpFVJH6zrW$i2BHLR9gSK{~o?5}_4&nbCHTTDGN=cL?Ja?7(< z$uifbn-uz!Kl+`%(A`0KJ5XGw;nSV2GY(%${y=use3#M_zHh{z{rDGt?c-niO{!V6 z8qaNPjdyXj>!>hVg$spw+0kcObeWFzS3m!akH7UTs#@pg^noRP=t^}By-+4kzH?>! zyk-lia((w7{PlnN3)IwSflkfY>gu6)?Cha&Q2oQQ|2#mR^2`egKAx>*?QXsHYH;dgam z2KDM%myZN8^m!fdrJ|SOsppnb)b8B({U7|{$G`H6s(x*{!_p6x@;%*-;uqSdO$D=B z73w#C=i{&a`X~SN_o?K*J8u>%1U;Pu2?v5NaYm&BM zfaM24baHQLphtgSh5zF_KZjb#@J+?R8NHOj%;PCPnN?vB=d*EMDRE32OrBxNrsV_r z{#~MLr`Q!5f>98pD!Qd-M{m@RzFOSqK9K1)Ju)2XrlLX(VDLX&*_ z$G;(pq%gy`@0yH@$a%DsXQ~sCWlE)@feEa;I_9~mh@M20_l@tvhUD!|qu@8W8}~HXa&T08F7Nld z#yG1W*ub(q94l;>r$Iq?kSLTg?*^`UAxo~eIS~c&*Zu2~LF9&u<$7qsnS%D5^BRSS zvR}r5N#M?=ay|YWuj?dh?`L4jd&GZ?C|Gf@G$kISWMVcG6a)BTLs84H&NE#fzNo2s7a|`SH?;sKg#CqL@vk zP=Mu5Zy;eH=d%rQ$L@9D7o`mqgpz@rZYNbh20K*l9e+cU98JP}nrrNfp(q z=Om#kDPzV=+)Syu)r)=9SlD_9ZlqG4aE6!As=aw4q-@rAL&%<$TOZqS;+Ip)OPZC~ zv8#TiU(1_Q^H$prB9)xbsxK#3Ll>!it=(m$iAp{^zHk%Qq&P?!2P&n<=#X0})vXHb zI6u)!eZ%dWc=oKsKZM&`MChOu`<@aB7%%auBFKd=X{!Ap65lS60+)A!AaYgGkU=E3 zk}AM>jH4t`DI;P<-5yA;YP;Aa_zBa-#=rg(L}C)BdqVM$@>%^Mj~r7F$ZTt3i9gE? z59t=o_pITh4`a_%|Q8>c>x}%Q|kLY}F&ddSVtS8o}B{+{d`gh@I zR1jM}LEDHCOfHI&b}b#TbH29;eWgj9)BT|;c;!1jEqkL5`qpg-$Z^t_Q7sOoXY#3+ z3@6+&fSrD=^kSSfNUzMZ2W7-DvGlzsx45mkMs2GTH}Jk-%bG!Pf0a>6gtGLiezXlo z<$OllX6bgFkwWRsElwv?b7R)&sS>Mxe2gBejtLoC_qv)sD zlTyysT5TAO{Y8ujlHQ|_4}AH+8CgB`oC^AdFX#BI|FxMpY07}q3a3;auW!wu>nU?R zRQaGZX~mEptS8bT2!+Bup9F6%oCKmUHMgQD5mzhG@~{5L4+;Nzz+GBIOFvU}J$o zDG)KghwC_LDKEI8X@mv01uHy?rU>7`3Yv&HzQggKuq9YsMVEg=)$jb6W_e57J;{m( z=!88VJKNrQC*6{p1{0|FoyR~-A1m`xKRkcCc>Wp#2Gniy3Wk4z1qufMq zNwA@|)zREwVcp2|y2=$+8v){cpJ|J3i*_|1>4z=kI6}L)OtsHSta3E**64{zqs>wg z1gp)_Y6X_8X%Ea&G0d^Vs+&DLe3vNXIbZtg0-XBMdp1sk@C=t*a=C* zvfXiq9tJdwGLN@Dal%BqR2-t|6i8>-$?%$|Q)Ukx&p3A86@sdwxSjkFJ9ob}7ZoF= z)hU)#=HfaeoCOcvc9)4e2vio9I{Z$q4R=+`C|q^*#!xjJHyHgSo+8RO>%Mv|JZl?< z=52Xurq_hgPs>w!zyzaXFRTr#N!!kByNY4G6&G(#W1KVTOMxSk*`zs=V`0T_e2c?^ zOJ}1k@1+~Fys#y$3+%e~k-p&q9p}7f_FVS_Syq7HjyLeY&g!6MUTPi+G#J5N)oVT- zZgP`>v}v1~gnkzMGd+G3nT)_i<=I*a*E-YeZH4hcoN@8Nk^K9Cr2l0BAo7&1LkF$@5%Xb zXNfZq=RXZQjQ0^k4mQv^-RudWt^+bm2WQSeu7u`(&2-jo>nd-p!c5f7AGT)YTST`I z=#J-E5gK^N3g-(tfplApaI$KWNks_38bw)%qiPiR>MDv?ietth(YG+ytCkf^cyku3 z3NnEGmAl9_nCAK_yw1k;Tr2MHA}7qsFf5NqOHb`sD8l1OCc!)tf0jvnl}Qi=v85by8RK>n_y5 zaA3e3rc4&58TYOmcjjuNi08mbS6($WEm=~h4KP`agOq+N%LOB^0 z_4Mh1tC>y>cM`6EiP5#`o^dmdx~QI4Go0o!tEG&c5y-7m2G5)iF*EEwzCL`Ni+!CQC0(Y){gG9hW_1bSk0%# zV|UGa0h%zsc7mtzT3zv|$`NfzE5PsJMxa zRN**fS(3<_&W0On*~4NAX0?D_r8$or1Hmblf6t3`o}Td^`~<1-49pjDnOphy05+TQv90l%){IC%>em1!Ils5;Op*wm^ zA0~I*$xMyM;_y*~fCOxVe0Q1akf3~`cH(e`gAj&#Cl0)ueKWs|AC>xa$d6R~MZDo6|rqR^_k+JvZbGTx>gRyIbF%{qYtN1VmG z%_g5;z>iu5rNIvjkAMxZzsTcwpEB~OuGTownDDNJg{TtX+e+6)Xv2GA3*I7ETX9bx zH=n60hBk*Q-=+c206!tg6n1su0K&Y&AUm!v8 z%kob6I7BNSeLxIwiv(q6-O=epn(yA^m2p~#hxBZUQh7~;(8+p=VjXc3ZTOO= zp&|QR-DH-lC%K|l5pUJhQM+}&EFnIMIjYoRp$;J@p^#cXk*rLFF(rS%~_#2WO@==CBQ+)m7K>rxT8= zsa#Y^+`+jj4$BtQm+dn>i40m)njRZuAKz9Osk3$QYN!r#N-LaoE&W5tFKGBaFW=j9 zWy-T%erupk2EBf7n01M(_K?J2z>zD1Z`ku*Tw^B%)FXYmIq*0)>mTA#ge%)O{$E9hPj_u|NH18R1)_*|;Ea`+F>Hk}w|IiMGc-RDxrxwq{lOTEk7PnJo6OwTDM`Se zKj5UsRKh1+^ZY?wJwAV+0D+#rPGBDt;33~+hk;0`XOvRzCAvE9f|%=ttO(w@&TB|W zHqReQr<(;$_cNKn2Yty<>PYcAEmb{#u%rFcJUxH#i2i!Sc{C??R%&+p;`y5&{Tg!^ zIII){S+Cri7dEtCHk(>{Ml zb}Hnv?bcPU!;)G-kfiT?)yGO5suS;-goRf*{pfrm9F2IuxEn^&gv~8^p@&I|X6~N9 zUGL=GqirvI&MGf_F?A=(y+tM51!J0Mf1#=K$BdpHS($zGf%GoUD!=>mJP(iG|7R_;;p<=~AnFo5)$oF)E%U>2hVnoh-c6=WPxTGMLQ%PK z)Zq|-?4CdP{#Or@jRb+lTT*1{uFI_ZRKg<2baQEP`9noQkSPUAzICz1ZK7 z=XlgnD=%vx*^$y9)bhL$++{k-lrEW$Kap*^({&A0`DcF_(uvBM^hJ5emA4nLpRc4n zoxA%s($kXvkALT#ci0RKxn3Fqk3gWw2$6y<)+z`Or*NK>%U8ZJw>7ymch=&A4IO5W zC&D=7invdpcA^`C9-WHPHb37$4l)dUWQyj$dS zZ|mL}fibhpdLullCpx+lR(zW`8v$G~)>XMXr?fbBgUeHQ{4~S zvHntv9qloL^=w`;;`YB$sI4mV*ui>hiYz;QhC<3^RdrUNTBojQE^iVh)7C^7M>7Fl z9X|3=$!n2qc4l}*k)9z_rV5IQ-gVfO*onKW+Gb6@5l|juhe7okJ5ONSNM7@`2fKHA ze{ZT=1G*Y@ct=aj9!RMW41P1lYTHWR-Th(weueIz`bcw>Eb+yXwwS;tG$3bHMlq5YJ$T!^wD;)p?HiQ-X( z8qPEf!+UIs#969ARZbV2B)Ym69^{zby(+OHC8CMhFybp>q`?Uz7blZj0(6zPW*yt&8cD!)>?2fOzn6SlICFXXt(f! z0{LxIMqano5r_J^I;&A$6BoL@oa9=##WJLFrzyv$_!g_nx~lm23)x5Ok+esbK8kk7 zcm-^o;>3fKR=S-|hww!$*Pml~7<9Z@mK4VvkDIFG0;$KN9*Q#^(aZVE+R|2+VUWxO z;}-?dgoWI-V`#Dg-tY3PHJ^snU&^tlOLDU{t#w9I3=Js?$;~!=AyE{A1DTJ7Kd{5$U`55gXZ zc!vI@vFj37_7VQ(32YvJ^9@xA`diX3#U+f3FSsgJ5Lo!l4`6LhC5qsZEwl|!;dxoPz!6`d-EFuk159Y|yo^Tm~@4YEf04%sgE zuueA5AJEIgj$`7}s_&u1!~cZZQPF!dWYvxmV%w@D$SNR-QR8mSm_u&{AV=&Q%G0%?3{`dzHil>~&Rc4vX(aLb6$71nXc}CX3htPG3c8jSc!4 zR*Wv>xwGN|%#>lEpg@^2Vx_%+WD&cXcM`~a^ZbYPwpvT(bn3QMRZ(k|R)#{^WQ*^K z)FT~ODuz6)A;irQls2T4H)Pd|yb6S}&>$cl9dHHmK#d-xl!K2ytuuv~rG7cOoQH|~fp({QMt5dkJNdfTPQ$Dk+9`&*<7S5`B5xEkJ%f)gpZsj<2}dtx%A*fr zK5|!8ovzn;-_jxRw&tpS_HzT=Yw!0ZXkz4tKl37*n7cijyu#}?-b4rHB%ul-h#d8g z#~&&@1KsSRcd!UsSYHU;NKmJ;x>A9u@5UY}&aBq)|3CKLC03T~x)OUV>H|l6VE4q6 zHW00VSnomPW&A${*nr@P(eTg{+YQ5!nUR@sGcqD8J~v<9i6ufGcB^So5+#x%)ns*3 zEvZ{<(IzEP6iEYqteFkN_M`_MlmQn-k&iGuHPC?f+WSQ0iO9%X@4cc$G+@5sy*DGz z-scnNv(GtuucheXXgDLvRtruAldPVOdLUZYTo=`8by+Tn#E3DfeJitC*QQAh{_%=J zYAQergBydC%ePt@u@AAjk#>KS_$v1qq6?*AP>uwYUsg+#<9PhuQ?HCqCj```&w%Do#Kr_v0aNs579dLRdG^>%Bl0bc+=OfrCJ$CF_~ ztgME*4Q$w8q_1jde8O_1_Pn>;slJHRN!+sq8F+&OBM}!li%GL&-O*G!{#1wwG8;ZwTvdq7o_rq+^&V>U?8~T<(wLlCsW^R#0zdmQ z0E%HC6%~&5$4L&tGpYRN9*6DriSg_$W`my*?@Jy`wTvt1`VZ&QWc!@Y+?prGI&CZ& z9A*l5n>HO@Vl>e*ZFFaF^%EeV>zSyYIPO<{Hq%y{l;-05NdRO(o4-DI(@*;TGcDq@ zpN~td-uDV#kTt*Xhbj~ypRu7Qj+*JBra{%$XVPZr{@GVcSdggB{pj0^9Af0~w?3d| z2?q8tmAQLFNHj>^GSJro!MUQA#o2}WtA{|PLDMppcpr|^2vVtI*%nP;Wc9t-Ws7WS zZm|nIDeKO*V#@_oY7EnO&@o99F`Q}uv+10MwyJyVC^;XG(%3NhLM;VMfjt(Ua|*J; zBP}1=R}KjNKxB{~Y+?Rq)Eq^IK!(~>e7^l2`?Mo{<6#H z{(${MN{zU}$)_Pxj0tOl@#ePbPY?I0RDe~!!eJ>SOdw$u1vciOhM_%4QK)#s1*{@C zG{7roMnw9gxycdk2?Gb4?FE3(Ve~p^juSg=(}uFCs51s&9a^PY1O-DM?yFM)mJ}<`CD5 zUbXtPDraa-;;CNshndb4Jh`5D@iM91mq|Q*NB?OL#@KE%K-tS>6X5ImJHfu->?Lbm znvwSCo|gp4Sjn(OkGXNFMYO=c}7Hv@0PQP@@wlEeNE z^i>9TY%GIMEZ+m7bS&^G9Qk97(Rb2%k8@#Q^D^EEi8%D~Br-!pX!7e8jq*qLsQy_& zjXz}JxuEuuSOXCVL_lD0>g$4-LMZ$2swFZ^@uBsS!9*CM1Sl_X#zXML8UEN zEgZT&N*=%fgmF9E!dV~`iK~+h?depKUX8-qeD%==>>vGt!V)GiH!&VPVPu@w@)5(vq}hT z|IPy28PvOy-s{tIGtu6oThj(?s6i0No~I-{k?<|BTJ+7DHrvH%D8CH&mYbUW1kWPeHqiV&RDKXdMTy2^l0tX@Ef-@wY0)av*y`X++^$zfw15ee#lWu{~ z9!-E&yaLV!!|;ziUsb`Ae&OQH(twvr2MF{n5q^FznV{Nn413+vWWruXhBW*6Ngh6G z?c&_i*V0FQ`e~&jB=`E@7Ed~!8(U}8Cq~!OtBrPwJ*O9u&PM}$5DBOCM(++eUWg^6 z`+2sO3D1Y)_sv2P78(|kUg%LG4R^~Wn|YV%i;Q z)c~tc57?;FYW`7^=Bk_qf(05=UWtLiSl&v8n(rIl|;6VbSW zheNeb8?$)!&32oQ)wt0OUbjzs-)@`bW?C`4q^1OX*VKV5VgR`0_VmLa0xeXYBBEVNR{)3?cab= zF)>cSJ8jcl%5a`~p(GIvNSYp~z4NDhV^(j{`q@`!)cK(cT9q|f?`TLe@QgRbKB* zdQAwbpG^f{expAp17|CR z&5BJwO-EI$YHyDeCC1Nx073U>tn+1ufQ!}~PVGOc{4x2+bnbE8V`0+Va>mqL0-K$- zI}`uTj|gUX&q(7U4E|(v85~}FNb_@A&6Cpd9O3c-p@cfCRC3*cl8O&>qnx0IH=-_d-ZKDDC2a^G;{Hv+I0IR?kpn>|R&Wm;OR zm_yp2-oMPuJ@_EuLRjJ8Zjv$p=?@k@T&dFhy}%XcMN0oXH_;La$JY{oD2sZpf9D%8 zY2^0#0Tr|~-g1w`+3}?C-Z_0gp;1(d*g(uA`vTFVb1py%lo^Dq=T?Xt z)KJosX+Z1g9cH=>urO$tUbea}5ckLLs~ULnLoq|#<3>uUYl!vPrYEvXF7;_?9ay8d zPsPnP8I$>@a&zXr5O89jMY3SsAguK4_k}xpj23%e+-aT!SHW?x!o?`98 zITO%cr*#gq(WYYvJmg9y(W0o1h^~g)S4v`ww%(1Gk`O%@u*)HNMVv)RSK^sIEb z%y}*gjbEWvbbjvFd2H1>K;vH=badWY^RX;UPYlO`iAMG;z`iq%SF`FPtq}}I1AlG? z@vipG&U|dvO<_JUT*i*d+16PX83^<&g#&&dP0F$IvH9lyc8m0wxSuk?k&t5biQ(SR zZZY^ogtk`Zv0{;sZzUOC3z*%-v4;l2l}$|+&246KiEdq6Vk0PBOM;OK5^Z)BO~aH| zLxU>a;RKY-=ng10)iO)LFMlo|gh1-Fr4_HS)_wUZAn&WjTNE9@)cRs}4GaG52MJ$s zbxGEH+n-upV}7N6)*u+614$^rq?irl$iYZ9VCOTF0bmpyx}bK`tO}oOcNDgNNlO{> z(b%O9;mnNuIEf7J925^Eg0?Lw(!ankj+bmmt!4WS!8e(jDIs)G0QU(BTP+a{t9gzkgL3J z9ban22Q1tT1$@Qw!#HBNJssTUdc!1h<#79Q*ujW;7Fa`L(%Qll;BRGzjWoDc=tY5R z{2k-bqn;LsCSu0#J%2WZX2RmjuxvHJIaw=O(RtBm4%srNNnEkbAF~A}5kpe}7pX1n z<*ij`G3O-zP>=A_9F$>C3O`dw^H2k56ZQ^aSO=;`lyulbC2eMaDj0?rm~-NuMMr;fFoDIlzOye%rPhlmg7m^Dmy%{4 zFua)!9N2)S%oG}Z1x&reHEm~ccsKv(C1>AMuWi&AP$0Piuo%7);DF_7nknrfmbAKY zjG2~clX9Nuir$qPjzm?)kdv&gHshhL))|{qn6?)k#}mZz9_OZN4yRE#-(hz4Xm~j~sBWk0YnqhE{TtSjxLk zk4$H|z%e7>3*WoD?ic8<2=$X6EsB{J)68ajD$DXHl+-Uc+E?0WkFnFf&kx;21L`Aj z)sOaDdJ!-rwxgF(a_0v>b?_dYl9DPtZGOV3+9IbP_u%Qeue*Ys0rtA?U9X#e&~}U3 zwYaK%w=460KxLb5Pp0)QJEfynTX)(BqTR{{byvS<`hJaojkyVxra(*Re(~eVl-aA< zNwv9pWPEE{@=o3Y|JadbjaaU!8kVD^i&dGm#x2bUFfr!(#OS@KnNZbLiCrk4?OM0P zBzQ;{7YoUJx3&&^&NyVqk~0g|Y=)5KHad`f@WPY*K~>R}A7|Oi*=#=7egMrZ&$O7* zTVcF-`tiU5+`r^nQ~|>Ys3e-EZmF$E>igLRsaHj&J?lbFw`A`ZFZKc&ya1u5#*gMy zY-y;=ulHz)h7q|tLnVHXg)ZdS!fP2^Tk5zg&8*31GA&pyu6YHB3nLeUZYMLw)Ga2qx{>pYlztOySHLC{jV_!qILi zZ~@ZgR>CHXbt}D##O+xCiu38G_^-MF&~7txlV< z-c!jF{PHY#3Rt0SeC{V7JwlW-m<%Pto#X6$=>$SlK@_xF*puBqc~$HHDO zB!76l0#;hQ$?^$r6%*r_?-xY|SDtCsUZ1JT_bl7z-8JKU`z&BN;o1>m2GCS=Rbev)}wc% zcP#ZB(n7w_C3SC?LE*sr07OHt?|4bVdL(nR#)M8f^obMyceTl~ z@3a0z0T4rHPyRVGl8(V)cNrg|l{i$iyacRjm~sJP=OT7ArkUTi;FMuoacsp1bqpi{ z!hOdvp2q)9D=Mf8R(#+9yt|K>O};7N^7dwzA#hA^1|IK@Plgj0BeGp{b)PmC|DaF1 z?Y$M)=I%&ao0h%F%e+X9B)*9#;ab2>_PCYdfQy#H-SLIRN%kb}UWz-8?~(Yv1|Sp} zx0}ksCxo+l$kAbu{yX!-v)Kpqv=hc(=Nd>-d_e_pLUVL)zgxUk1TZo^lK~Y>$B>H+Hevg_^ADTg zN~J0LK=!5(r!db-eOfV(%etV^YpQ#`hW36d1v$x)U%Y6H-{j)ExtiBq9;uyWSsJce$F$0zzO&JZ=gGIWnv8V$w zrOa>PQ4KmPTwkG`+ih1`-lQMWCR{fmRFC1eiksb>Uf#0efIVEpQZBeazD@Zac?iu5 zHMB%eYkg9Fy*+NzU9|ujUX$&_Z(-ljZ~;y=P!wrX)MWLbdMK}p!v*?^%i6PasQxli zNy9D&)e1Zy82r}UFR4aVHnf4O>6{E3WgzMrKQJL+a^rB@03lJqVF#@gSKEo)^4%m1t`^Gqcnvc47 zovwjKa!b=9HOK9n|-R0l;)nQHv&U%$)2XGU`DRS8>z#VPw%Ib*8L50AUU~D>LTMn%qULWWq zou}*$*u>^8U1voJ%*9^wT?#N%S0CfX|MO@702nUJCk|uE!AtYn8l1jlpNs3d6|L(9 ztPQd(s7Y7s7fVW+SQIqURuCA}M+2CN7reRuQ;ZetKL!6t#sS?X48!oLm;>&87OwS_Zx>Z;$&Lfq`yZ-9Cou2kV}vX{k;f@|$K&0e#vA(%v~2~)mR_6s%xV%p zWKwPe9F^Pjm=nt)5aIa7x!n+`xzX5O@k|8Z=uRa} zKT(;`OXGp)TC^;;dTG>Wr8A^TA_Br=;e5(s+PnB34;N&X+(?m%-I$ZxW z={DCIef(J3(*_fB2vP|Uua4el|9}%lK9JWVutrogp0!>tA7zM8Ly{5dI$(u3q&uJ| z>-9W8QWK5D)-iEeO@-Qk8V|VggdW&zz4#E~e@KC2@`Hd#1;faiM7lv^N)`ptr zEm&uI;^CPTD)GF8W0P#KGoYx>Q}#H9$Ib0vx_X^DJV@Cnm=cTf&BOn5Kw3dIXj2G04IGn2Ye%9 z>IcMPi^*VGG!hlFVq9f*(-#iNFhW`%KN1q4bZ~voF}t4ueou!``RH9%BKWn}D*?1RPuJLb7p|v>#qB!BjR^ zr}*4@fK>`u6x*0}SD$uM5xaj)Bs>;@D|EI7fkZQ9m87clEiuiA%UHd>C!_wNcrFCI zbInBRn}F?OHXr5|%KDI^P)HaGMdh9W8U#Iwc@V3i!z41Lc(_sQp<{cY04sy4@}1nMfOy6sBy z)ZKTx+)^;&V@)&x!{X2Cj`s06P$NMu`}{Ay_WajAPd{;~)pS&voPOaLDPdkJzJn13 zI~>)e=G&jR&8;7P_7l&)@`q9oEKP7)#VB8KtHdJcUkajaXi3O6RBvkKFFyarzyHI3 z^hr}!hvv?1ah0BeAEw+aVX<-*#~I<>UDWcB9sqEJiw9H~IK|8D+n+E$V*TJRzWDrO zpM3tie}vr-B|GFNHuaCG*=3^cve9VswCQk#lHFBB$NQZh{x@I#{-6KS4?pvZKltar z3{{k3!+fHrtlI7A2M{aht^m)|LPa%zrTCgdy|X$HU}_pSP=ZwFa6;6zWMxjzXA=UZT!SSXF*p_ zOQ~OYq3TPI6pgdomRbNXuoP~=f;L3vP9?qLVPMXs?s)tl2j zrw;p^G^wb>5p84`-op1F z65Y5%(!{1#>FV7+D4F2`38=iu zw6p0!L@UA*5*@NJAA7(fqf&Z4eV+tKVEm7N`_ZFS#i2He$OcClC+w|dmu;0DyO6>S zNsxvbd3h!vD$-3x!*ZYI9Er8AtG!@-(}zB_`FOuK-!PlziFNVS5!`xkD!=1xyVBU( zP3A|*(yHqm1;QFvF9!;MaS4VT3=XVA*P}ts@V8mMDaD7euBnb8ee(txc>`#YWP zeg`BzSh8f#bX51)++%}RW)LG&=VjFgFQeX3>S?^u#*ESJf!*L+cK8NaKm$6|s}%V? zbt-E>`Nj{5IrxHm2jctoRL>%lAOPG`*ufjF_lh|z7Rz~^_8XpUYHdM#O1`Z+0nURa zVMNL!RS>>XlejOZ+I<<-_DiXLslFFzs)Ys-%wN0a_5K=|OxX z>%7=gel*HkdUbF3p6R|?9^MPTTIUTfHoaHN#eazo6vU>l z@z-E`FRb=u-mc&GNmAm<%+l<;&88T-jUUZ+_Q3}Vk+(U6oy@n$Fic-02k(_~@LwVa z|5b9Z^*SV+Lra#l$F-x)vK{y^jT!eQmp@l z0PVc&05R>x^mJL3tH0r=hWtj`c=nhd<~*vgB)V?|ueN-7!K>!+;%~=E%va3irIrT& z)$-8$aQZ+cY%_e-46ZiSXo0}OX-2P>NAQA`h+nl5!NZl{$;US1S5qFow{qHeCAxB1 z))1Oi$Q`~+fR6Y6CUM8pGZFSl#9r0R?Ev%(oIOfb?{mFy{8!29Ri||=D0nd8I|rcHc)X@3}^eln1OFocH>4G=zAVF)&>InKKsY?8!^OU5KCd7s}y%&Q~v-Prz8C_gTv4X)n09#U(v^c%*p;N5YY7KCap)Rsp#BW!IQ#0S9axP&})W z0oZskymhU)~`}N@64wfp03#Vy2wcx$-G+Xsv!xACIppuS@=nO{11cS*kWlAv` zH6>Hr(LAlvM-~HTFyXHJ6&m>>zfWgV$0~I+qz)cdpIoT-jcu0|ceDE88^SOiL+a=v z^|`J+>Za?QlMjCZQk3IR=CX0D%jA?#vz#xLtCG79B-e`7ClC7Mv5{t2@K^KdJ(b?m z8}&j!%fP!Rk8j+5K>7G{PnuxqG*-{ch(*c}+~~-ruL*#O$f9jX>1{pWN zZG1iU%{OT;k*`nGjK&$$C9;}o&E;Bj1r0W`u!cX7*_`wlt|XulxY|_g&u~o9*!~;- ztjz!P=+UDEV6139>`D&%fs=nvKLSSWuEEa2>e1sQ9XNf9j$Vqv(q@hTNySy-^v`lD z;b-)7c*L-hF#4C!8+i46NVIFCOC(P z2s*q%W6GXVe>B+NLE^3yveSSBxdoIP3_u2+`LKCQ3k4byEa?7IT2;-xiC%RwIG8hK zUhc891pMG)eVb$X$+5d+c}N>PyH&-BB$nKf0d2m`O1Qs+eH2Fn?Upk0$C(8~RBpP; zto(kTgEALapV?`w{=t+ChB?(8s)|T)R@D~8e=}{VB}0^jHUBGW+&vk}g<#XHa|Kzm z=yGaE6`6yZ#RDxG-4aYaY}tc-sN4wrCoN5T5IZw>jhr8K?V)Q8#?izq0UCqae4Ozd z?mOud#GTVSwibXN;qZaLOIk}LTu20(MCdFa;WI!_5}^Bupn&uEz7q5x80v!HDeM14 z^)vjz%GkD`Um-JR&Z?vSyh6NL#CPPpB+@USRmWEZoL;~Y5;+J^UnVe zVzv1qV+RB*>rKAgb}0gk5tbz|0=<|~?%O+%kW-sraLlXzm0$keZ+`aOU;h&Q{NA5@ zS>-VZNkDj+mee)8jg{ZD@5uYd8kEYTztd778EIUKz8Y9K$AtGJH5P_FO(*2lm1 z$v=Gemw#W$84`@P@)@4xryU&nvL+tGS}OUmyrRNq7ODJ>V*U;AJF z+4sKPzn~r2wxTYydMRDsX#st2!sj*3rL;WR3djXkj}n*+fBk#E`Q1PL^Pz#H$fHKl z3LaX$KCSECu|p!d?(44!bDD{9L;Zs6D1e@<`12FtR@vxq%F2I*@s!0!k$*M@)5Eii zB-;|um1V01HOM{VAvUyCIIT)hqaiveYkR#;+;b5tzciZ()!ytfTI(1-@9|UmpU}c+ zPs!3L8f^LUW|5NVHC3B1oS_@B1uS$|k)fP8`vWQSF<{UoyqF4`E_bAn7Q+I7eToSs z)~J$shrux?ZQ5Y{CJl$(+U!5k`^C^?j0O~wGdvgN9m1i?hn1qrSr)H~6H_SXY@5vXxx!#!g1@u#I5aq7mx0yK~T zyJ)zWw)%&zY-y{Ku9TW^ss=1fZ<_z1W8udQ8I$~5eRSoQC%>@1`wZm*dmLsss4&QE z_pqe90QLldIIZF_JRSi=09tVz8aS}|LrO#@Oc+L%2a0b%q$F%r_~@HqNSg&v2*C1S zkeC<|xn2yEfS3#?4*&r%;+9<3b3!XdM3o2UKZHd%KB%;fzzM-K9lIVLGxs+lVW=gE<0+s0odTTEj!Qk(Y!CPAljKC<3B5L3?}bIcZRX#5l8| znglK=b9_G`<#;LBfW;t732o!=_2$;0YOHO>xa>#y)syWma_YYpkc4U9Spw5NTjyjv z?ySA}c-@+DUOurtg4vNVRQVK=_S-v#_rZb-sOz*g+j>#mN<`^OiH3uy*NcLl6lcoC zvp)o`4^Rl}CFTRtVbBhHQ312L%y-bUTq{LEuPA0kLdIhqs1Ud5ie_NrE-i0UvjZ2% zcRryP!5<{uz6jJiG|3gbyWzaV87`(`5hKtlL|EDk!AWyj0a!XODl^|ztGuj6m3Bw% z#fYf3E_#>maCLA?MnyTQP^+r7+FUBlaNr3YPuH)vqG9PTd<*Wj+Z zrQND(!J+koaleTLp!M8@2k>5{8}qi>jpW>MH{mAm^x7k&n6~q~uDDIV^NIA_$GTX&k7|^}aHGrXNihJB^tx0rJJn>1;?fh(2x_X1UJNcH0CnP_Drtph1%9s}33>%yqUFELB|LelYoIy$tRWnVFlexK4J&Mute$&V zI@P?qKgfrgJlST;LEK?Wab7-gdU-bzdDmD28!bDFM;H_(jECgG{*eEba0=3gT?F;`ic_>HzUg>}u7QIHl!Q0E!WWK8Sj~XcF}` z_kB$?zh`4e#9d(uLm1+qAnKbgiif;oO~EZro75$rs!8DtKJR&0mlIw|MdrYw-kV#R)Fe&xU>e`Kl4g|K z)l_~Wceg{D_`x)Z@vk3*-B)1yXY~Cmu=_xUpt;{+CxZ-lzO-j#q>V~&%jE`D!R$I;OEX}6=4%z*NfCbYUQB?>M}mX+F*tv$ zchgfKUH&-8oOkFZtpG=<5v+S+2ot7D&Lo27%AzzY&@gxfz1 z?F;mNsiU;KGt=V(KaL!OZ_t<1L4D*P-3@Ms!05SC@6y*=jr#t2ckW&xZAO7YF(^Ba z>uZyavbAIk?D(XyAf3IbB+EVrKCNUDcA8_`*b} zWlg3qZHgEol?188cNu&od*R`Mu3*vCtEw8wtBlnt5py5{{I4~^s6=||iUG44Ym`FM z$)EW^MAX4A$S4r$y#&rI{?e24XIf$q#+`Fdkg@;`R@wx71u@D*d!YmFR1ihjSnAVA zmwGh3Wo~3C1`Yvn0^5Rs=tDpNDuC)`snObhqiJKzpQgw&txT~RpzP}t_KhWHPz}IM z5WTp;v8$y$95oNND^)$bf19tBM5~O9MEZ21J_UW?waQG+;b`9ufXL>UN*Uw+^KEf)W{YwxH%bod~T}I!5(wM(vVWS4xbJ?8r;bz|CmZlHS z{;17CeyGbS{M80^N|%*L3LDW9$5}X0;zL&^`-Pkk9R0avTkfA!k`hxhI4lyl+>V%Lr_yY+uBa0Ht4_vaTE*b8fW zFdy%aPmJ|K*O6#Cl8Fxcx{j0^LgXBGP~o_#cJuC8elWd9AC+Rz;GH#iV-2ozRm0)o zLdfMjXm+R01S?I)!^Jr3@UQ7Gw+B@ezgNRo{jrE9Ai$g6^pCS2{yz1w zva;BEAnTNU*L&|5i?;6L2i$+Rv|^F{vo+UQ*7kqzd7U+Q`e^|~OuKj5(cF-+7U9-F zNFn)_1kQ0c9=1&5q|{F+X{aS7Gsg;?o0v95%W6+MzgB1*!vKjLJGk*Nhi4#3T4e2( zY*XCBB{#rQSfpfk6zN?`Io@C)a$HhAO77t*%nm7ez<$g}EPht(b8;`BVvmvolsKTQ zX&ZAg8>B-iyzs^zr^9Ot!yBJAC}eIOX&Yq4AzH%m;+uG!Hl`lohW1TJ`wxJJ?r9Xq zAfl#z;z$8**(WDJ*9rX_>@D`-Ddh{IIOa0=uC#=t?o`#PbqE~ z>soQ+;yE|GL#R{0ywjtY>mPYiR+X@?JNi-uTtud2L}F--d}&*i*o{KVqp~H&fBe(v zU+mnU)nFg*Kk#j{Tr{t8vZRDoz&h4B_UZUjP;n4bkk>NXbq%eO*%7d=kN1Mh&^)0^ z(#mgbs5xk!>uO*rfXuZ5^K05zJ8-0?CQX1P7#6h+v06kETr}FWbpR|s>sg#K3wv5~ z^?HWrhL=zgSe})WRdGyD4F*VI768m`$R1x*E3E(K5p2bI`MSwN4hITspEtN^wwNdK zu*IH|?7iEHT~mPeIc#-@9D|!M0fw^WTP<_BQ=Jz@zL7-&kg<0e`vBf%U}a!~sMit? zTKpRa<&Lbt%FDY{NT|+*5Y(e1EjSFVJe({K^4?8^Qc#bldN=9OJZ{t039u0zE8#8MHfNj< zkR!wYrbJBv^^@f#u#C0MwyQOC90AK4ZdBWfnk2o?EQLx;KMH}^nsl|ZqC`_5k?knvTJhljSY5eO&3JeU7f9=LmK{Onw%lW#Rgek;~X)r3O>WZI+hs zHEr&XX}ui1i{UU_uS0-$f%{$Y;BA4-4cFrI1QdiOU1CSmlF?4pSkkU`GwpNd1Nu=x z(M^D1C=u*1oTxm9^IN{J;HU%c+T~8u5f3`-8yBwzXR6dK>orYl)W}SwIWV{C6U(UU z%E9}&p0x0J24mevUUUCDjYh1=bC#* z!|dnd=_uP^BL%)3rAdu+sk9GWZ0c>RBL{4ih()-|^!aeo8TQm|Lalz7$6bIPGXCF* zk{u3|Kkd?Kt$O6Db5A502?EedZ_yBx8bDGvvv0pFPc&Lo#Y%sr(k z_T75M@G1$0q)EQ{Oo^Ypf>L0?Z8e|pY z6TCX3MZHiFi_M#CY?~h?yJtZ2!V;9pX&yslXQ0V~jeO|#AmspMHHRo!+GCtE)EgWx zSfWQ1Ki*?w>@!!9XDqkupv3^vtSIX>?ekSpwc9)`AJ*jZ!B1dNgM)WNmDy^$eQYWIlkK2Q4VozH43kY#xw&5N$3qp*!C`^Jf~M!L8hyP=sS3)hXDX}F zw`IPeehgxQOcJ>KZD1v2Uj>($$K$W3;xVtYH2COykIKH!cd5C3_D}zZFYRcznU#tO z5-yomOdFv9NyJuemfLO*j+$CgjlvtsifF?X{p@Tr+1yMX?GA5zcRqn``7i|Ir^F|D^vMexm4{9F2EO=cE#`f%r_s zoI%XfslS?9;|6mywy;Y^F;Dwe=OObhz7=g=aLIn;BT^aDX2hXPxKC#*-C-6wm;j&_ zU_;tQL;*7%{mg4axKqnFDjPl@%r_h6x3jW*)!gCoVUwQ7xY!~tp{=ZaSFXCn0wA&n z93>bIBToAs%rHNKWgP|ZiL?=20>?+&wIb|*;2P<8afrx63lTe&BC>`da7=y}%|0d8NeUB>X0`A?1wGaOU z$BR(=2o5%w`JPbgkuk{)2pCG&MLH^<=O?hfXe?5-kWM*U!Z{N8 zf=D5T$>O>wA0_r|=!+es3;8$(s^N_q<0#Jc$qe#iysSjHZzvt6gaAyLE}|!6_^QIA z)b*&49z(%nGH|$j0onz=r0ikp+1xIEUk}W`)Edx74GVT(H=#b^0>RtGJE0e2$n{czikl3r05vJW`fC8cZ{HFeIUoLa&w$|CUHU^|!901V#aH~m@8r6M-h6S9_>^XGN}Lkg(fBksr*xiEH<|+fS6clm0tR zK2iML*YsUkzZrwak(_uM?1I$80=T~UcwOgD&YlfB+}<~)!)J-K=P+@1gFqX>OE7U{ z)F-x7;v!=PCWqrS0T69VE`97j!X{{{2g%)7AE~pkm%qr}_Rg6|xy?4uv`oPGC7F2V zjrZeYwwkF5pF_-5#g6q7O={yx^eL+2NKU@&qg9K|DddBu%gO|!Y{vEJvpH8N;B0)= zWS82aYqhbjy%_IY6<6{I)iHy#*qkb3C1eO zn1+gY#_zm#1sz8D+95h6-5Ip%3}<7^Hg!z9U6z>(+Wg_hK`!nQwJlKr$jLEi*bP$g z*fl8%;khBW;ne0L=kWdh?N$&{Ub*(4KjRnJ)SDTXg$TUU8YD<_s>CX(#S zszMg}vL>3GKkZG!oAltJ&T^6+S&e700DD|M02N;h+P^R9U2;9i2o%Yn&oR`xjvMtb zJ+vc6XdH5k`U(c(8m-#rzkY2X^-}RF0|p5j+6$cCF1s41lO{*4EXeqI`(xEU&u-0Q zMSnH-C)#x0kk#2UaIsOBmPcygV^J-O^qB1oECKfo`_i;%szs9HqkKl|#jPkqeW9qoi}>`*U?qo-U0SHN7IitLy#?~&Hk z)7l7o*a3yC&epVHt`1de;B2mW`(x?R+@9Y4<_SW!CKN^1+n+1G^UKZ7JW_ijp^>gY zf&A>Nx66Eo^s%1aw&;c8`1w$otJf>$0j!K&N&}v{7WJ{TfsC&gEVim5-yibZ)GThh zMRA*!sX;A|gNNomJ1*}}oKa$_^CsSE7pP0s=65EJE~+~tKUOqCTg6I3EgGL&G|=1W zK<{dQl3K5+KppM1h9-0L+9Vc&aW_<-`?M}|X zQURAB=(o)|qL?N~CLdJ+liLchwLEQ#AD^MQAzM|t<1t+$M73@#!HOEqO3Q7Yts5(? z>*@%~HuF*sjSXRcq}Niw5wikpN+=;cv)+d5>M0G6YDO2$&2uiI?8y*ODf0WOOf^@} z;RJe4S2XA7E3Tmq?&{lo51+F-y~}7$l3%?Z6Fg<<9ubfy%B>j?R{ZnqlBF_-hElp0 zYPPd8@-Pvv5l%}5kg4#zz?)<{;v`*uU1|s{KzGoZL(A_WT{6;@tNeTW30FJ-4;3(w zmZo4Vtg3xxoE?uRF4dkb4xrS=^fpVlgq4W>Z!FwoFwbaTlJiaBMNi@d6Zb&Vwo*8E z*;yDq_waaXXuYoTVvwc=7Y*MlwXo%e@r zot;c3l;#G~9Fr$b(hB`*>TZreI9Vbui{yeIhnDoJykl>@+Y}RBBTj9!OMbOI_-*G$!uXIv#Z?L{QoSK5Oewg zoWsk6&P|~H4Fslq&_Gg$+%89k+E+a$j}(euc_ys{HCq&2B&8va#5OuN)IXfQpmpXAmm?U zF_lRV1>m%7s)iTdxYw)U1c4G+gQ#SinSCHWq!AuXSuSfBdz3o5d=2m$^P`(Ye`uU= zGI7AA2fT*(H3dGU>EQ>4zVToF6!kV*yEpLZ0K^!Ah3b6KfylR8FkaabU9SKZmH|w` zMFmS>*|io;C>=oVa1+<)-&KbbzQnJ~Zx867^tJrH{C<&Yq;R#WhYX>W1W_kF)BjEerTFY>-_0FsB?JXlIpk z>sz=b*FRsAXtGvxu9S%O;31i6f1q7srU~^==A;;ydZ@SlX)ZMxAY#{6)`6ju9iMWevia&zdPRO&r^kS!*!e%kJ{vg5vc{?xxkNrzYwv=Dw> ze#5ty>TCJ?GELtO=f5x0u-CFA;Xf}^kX3M(sU-6ETu!SYpVh_p)q%gHU*m5YKL6`$ zqJQes?Xr`MtSv45l!kxxUvArd0n=oknIAQ)#cc*IVi^@>L2Jc%kjO{%e&@t!T8Dc6 z1y|ilrK;+^Qkkvtc3myIX3%c0l!?~;eN z{Lz0+##aU(pNtx=pJr;Z)6UZje^PmkQuDmhC)Pg9r6mi7)`<2rOdFF2b27A1CY^)C z=;K`anzjcg_753kE*{Ov6;+ebPPj!Fe^u(AB=x_qF6zw3%dF1GWIjEy7*kq2U_k+9 z_ONE=pehAsf>(nLgSV$p0t3J(Ww6H)B>Qd3B!&dr8)9t;+Fp$@n{PSXNzW}gB4 zLG(Q+#-TlrBd*a3jFUqAM{@x+NMD>j|BR#0l;c)&smUcx0W@U=4fG3f+FY8X;8G5l zIBvOmLLG4fdS8qRS_!Ds;G1u@ZKY}1(xO9qFnGjbN}VbLfKSZTp}jRi>GE?y8rrx) z1>EV(><+HDWAXpugO46bpw1zurowawkCz^XMb5Gq^L&H&<(U4#EfLz@a^Y zdpd_g*5vw65y#du<9cv&SRnQwL>upx<0MBuT-UFK} z&1@w!p@|%7BYNwgGu>cHva-R;@IxHtrH$IFa)1s}ArLHVQsvxHEkF5kV z2{&9UFv0Ir@RLVy;agu^Zz+F|p&E?_}XGi_!Y!bOX_;P#{4^NDtbn=P$9q;}Qq zGSH4k92vp>ugikNlNxHLZds&Y8mDimwXvHAN>JNo+^1il&MWBJ;0y(T( z%JQ@}!C}(y(F@`OHAg2EN(qN3=>yuAX1@`qtu%b`xC8dAqrH0pO?Bdgk|H?rL(0_> zj#Bh)2a*W6wy4u(21vON)A+)Aj8o5Uzo4Dn zF=x{fLG_rjuW0R+xq>84g`y#P%oYoHmG`OSLlfAm{j}-A8a^C zr!!ibW4?z!Df>O+{k%wNxmA~D%Nzw{5Kul~l~!#aGxXp8Tl%?lRriDrG%NOQ!RO<; z@O+k}APQBq}YI%I>#?s&J2TQA`zMjXRiO0rGBc&Z zn^ob?s0e0L@-g$IXx@x;bXD5EY#Dz>K{BgAB1bE-#EvOEB=M4(!I#<5PRy=0m3wX) zT23mA-9WhzYx3G99gSHyyO+{T{;cBgQp5SQx<3hbueN`5DV|*IDb9srJ_j6&1M6T~ zO$jExmcKVq5MDI%_3Fnn^6~YqKG!*W74GOT_1a7HXhw#MZ$*_m6dAk))}q6o=+H`a~gunl0GmjS%ouEkz5Sy;Obl}8r-o4_xgHwxm=tz zc!utla&2sSm%U9?F!qn3BIYhy%f8yB`On2Z6k8)NJKhO>4R&qfX(#vnZ zh{bRoEIp%(reWIQuCMoeQ#lq6W|x@j9Z6J#x{By!r)UO88tX`|_Ja8}P*g;kiYr~w zo$ZRQe-{73aB#EC>t&Y6iWptaj(@dG~N+Dfx}-LAlal#FuQwDab z!3l#Yb8wPpp3;4~O%2bgI-p2PuoFBCy$fYHfZTQ**^Uk9A}jki)lHTnx_M{rXrMLe zE;r!NusROFQylAfsqwu&>m`H>XHiu3Ni+&&Pjn$NQ_qLAhSsj6ogIfnF+R3Gr{O)` zL}WE3hgIWU2+DRmTM(_q>NEp>7i~D1^03AERk=!yc-%oY2P^G19d)c(jW6~{uW&Mc zF-o~-Yc;#xiL^RnTB@sctD_>iTGF)0o<7uOWO9i!2qva}(@eG1{E5QZcAwSu@BQ?n zN82oIK^&6Fk!pVw0g@>MdNYpsJ_Y3PF5P!^N-cE&d&e8LeG|v@wP*23lDV&FHtnps zVqO3waBiHKxliiqsX8AQB=T5WD_n`2kMd&tHc`^^lkjl3(M(T8n zV`A!r7p+dITmuKrc>zbhZIRwRd+R%&*j4n)THa?%(0m@cMS-{oP98I}4|QzH3TKFI zg*!u@MmT{FLV%c-yT!9F12cQihxnMZ?g3|qBq4Of=Nl?YlrQtHz>2B#_%{LG0B;u< z?yIgAuuOCsSV`vcEe5#K=mk{8nnC3@jF5=$X~Y2<2FA|`1CHALuE?!!SEuYWGNf@4 zLPAYI^R60ba;GLqA|%03;IU1X$fhdqsRH-bvRkM$Nnn8HXbJaMs`zb1Bd+0-*kguB zJV}(0BC3171GYk5<_J|u_f=;p-Y+oA-q;DLa;zJ8)N45qv$hS{w>*e5 znhmLkAF>>YBMd%=CwGiToP(!te|w+3{T90%bepQ7ZZG*qH-Ji|mU{aODd6A8KBI1v z)jI^PGk2OK3Mo-w?W$r?Kl?^$o@$d(TW+bS&Fa}#+cxJ@;l4>DyeF_>rR8l_AkMj| zaE_ndrPl6LZ%+5PXpoelXW$kE10zcjs$Euy(@Xoh$2S14ws<29O$%DC3U=GrRP?{$cbfRx~nP%#^V#+Cx`+CfN?w|_VvVDF6?7Z(%OCRy^)KHoMcEI4axaf0anXxh5%hE3O@mU zIbvXCPt7ukatfBSBS$Z}|HKL$js)lZGbbn8Mx~DhQkph6%Uv#2AOR;1B3ErTm4r)u zU_Lg>5p7Fh*+gaiD4t*?`;gHIb+nkrRTFcHJ35Fr*sjIk5*0SHI^xWh+_9 zFy$Y0!3~W`&I9Q^gpWviPx_@jde!#us(mSy>u@M;ph-A`gg1S2!4uHW08TCtVp0}x zM*@@uM<8ewM-T|pQ}q(V%Lpg0j*>@-M+J(s)We&IxXSvQqx8P-A*xtQ9}KTr&I8NS zd3f0>X)sO71-XT1z^<;OFdjE3?dBQnycdc3jw&xrdjZt%!VoOFi7@SQ^0-f)@V;B3 zSvZtby<^`8v5tKf@qpfv-km#kM&=M_Kn3zb8$sxfmfY!+tByLg;idDiS;+*%I?Ek#}TjqjTO~^e|!r{?>rqY;5w4x#93RwnNE2gy)&H%}QDe zsaFF}B+VO()RoywI>YQWhTRqlu(Am2f74e*pl+PAE1R)i5K-?xRgITR*0P z(|~6yAe@S{-ouDQ02O5ovN#nm%ur4X04UR@helO1+=`2}-d5daOZF%LrAo6sW(b-^ zbP1Ss*RV-IpJ(iHRgnEsF1;;=Px^={R>Zn`YDrySNmId#T;PySjd@4!XN#hD^$OvR z3i+l0rU50-nthhTvzseI8&-Dm;8n3i(E$*IZ3i1~$dmThcUau;gpK!G7;9`l&;!g( z<}TYG3^I#L4j%#Tl$3}1A-1o0A5E2_6w56Z|6I%!>PFb*vnfla1Drv~lmyOihvr8h z2ZwRc`{z>tEOc}0FcTys+rC?7s^ikSt9pMSsboV)+RjBsX@Tx%I ztvW#to0dPwz)sJ&YD8Atdpy0#!aR3u!vvlYBNl>j5cE8a6Q=mGv`AOY=44t-%iB2$oa zY49pr8qPjcJ{tOz$9~EFBZPwb`F z$m@n-4$v_KYV!odfkzCjMq0qK&3`xI*hI}#9WVoJj`Ynoz0G!VhLp3@z^WaZtfk%~ z{xSlI)DKt?J62_#uJEFBan-`PPuGCm?ub+6tf+7Xu>h;w$;xO8gf^!4EHf2PNGn*B zvM29no=mDwgS@8*>?aYX`a9%+Scm`W4xY@rXJ4v!^aJQX#yUOnZcMOZX&v6?|4T?~r~sH7jF zve&oi{^A=o2-b`;PyL|GK%!XY3ZJrOM8_R%{EX(OUdrOu4$v%Kb(Av$xCftD7+Um~ zgg4WY={PoRAJ}!s*MskR(TK0P799ohEmMh6#0Hq;2n=a}Hz*^+ z^K73sclJ~`I17uVL>uG7Vk8*@@g{brlHphqT#aNpl+V8L?7z+K2cy*YT{3%_uWTe8 zVKdA=b8JOe2h4!Wp{`Dtc!9-4Un8-25R+{U4eV?|IU`~Ggz883tVji#R5Fo5%QR<$ z$_8YwNQL@)bifh2%d%0sVvV9XDIaVZFAjX$iv0_5cMx~PYOS{wA|oG5^f&49gV2vH zM*AO&dV^>zw_F*mO~{kYM_8Bvnbk@%(j|SM@m58q?jvy+`V^L3q_T7)&=qEFOt@mcYWX81(?pX8_scLM$1?6rejygTYRY@E%<+QIg3xxK_{5rL{U|*qPo~ z4%{%Z68l2V8QMlJr>1R#*Wq|!>{*F(A?yyq>~(^`+k&zDT`8^OCA4K>>e;cNH+qlQ zDlJZZEzzuQkl0q@UC8-8lZUUaWNSviSGU?!O&8Mu;{l8XgI-V_2Mk9+!_L|d!RX0M z6Jyb^7nQz(9#Cd`lr~YbN9el=ZEP%!AX;dKM*5n0w?TxP*$UcA`jU%mtw#iMblP zFO`KR*?^P}`z@g{xuQ+koUVNXupY;!N@&c+HWUAXs8@ik8l}vgRW?UI+*ft5dJ<6c zhSb%7#v&v%Zak~*%s)(eLM)9o;z$%-a&SYBlJJs#n3BzDd+mdd9yMerQ?*bIY)`wa z!S7?XD&;S1)cB8eo#R)NwzLULPX>bhAAk4LzfW(t!btFqiCsqcF(R}>w=fCj8`0i)E@ZHaU zfwY@X>BYX8)6PjA{hwd|1@-7OJo?5zQjcCI)2mPR57aXlney!2&wZ|cb{74VdUWji zRKNUX^{B`@gG%t-&wU={C=qmUdixU#lKuS0)x%BJHk~}AI;)4fR3-b$*VL1y8zlcw zJ=#}0B}jGe1@rQCc}8uZo~e}g~%lgmW^^qp`2 zd7tQ0mtX((JKy>m%W)R;_eF|N@y~zu&bNLEKQF%iXYYLbOYeN^8}EGUw}vc?zw;B< z9i##01n&%fRQEQyYYr}LwjEdq9B;&ujYCV~-7T354mOC3qb>HQGs3Yjz=7fX$*U^A7XVqzqTlARXZ1t*Oh(bH-=Q*T~ilE}JE@9)Ps`$`gIabrnAg5oVl;?ETtwqYWo zljho|4B`!MRStiM=fs02a?D8L!CaX`ZV=DvafJldH9DlZ*%)Na_8`6BDjzH7Plh^#U0)by>h4#zg!N%KjLyje`_YyA!N50w0*{jl=k zb@5n9yxHdCgJTi*oa^-`dql^hx+n$I$lk{IPd=b9R*`6(au7|e!e~{TtT=B0-bg{2 zSgZ0){(o0sl{Xj;xc`ofR^K^)lQ0U?3Nd?R9j02g@-g8&o`II(-MK}em0RW#lU6wiIG1Ugp{AT^h(YTBY7BDyoFH@&sC>= z67As^ps`J~N;?31#^e9{C&5|>&L1{76%w|h`vvZz5dIeFp)r<@Rpf7WIUEU2W=4M< zaA@1rl}S67RSqPy25=Ec=$cC_iXhQHOE}ueIC|@J%u7XbrP7YTEQ*K=f-d1o0ROuNSRK);YCMKi)fU_ED z6C5ONEHdo&&%RumchCL^E(nsK$>MNHHRU%Gd0f6a-_!Qv9%$!>tQAMZ+h^Ydq={KP z`w}(xW}2lppJffupR6eM=iH)EZZ6`N)-8y7vLzqC(Mn0?Jxj7@9<{qXGM6qN6Ns$) zfGp7D0Dyj)m2@Dv!{zVL_UIV-eU2bvYzT5}=2COB|+ySw%b$9uR>MHkfBK8G=gj z)sn2Jk8)7ZVt?eOyli@v2Z&xKS@_Z1+od&t2J(K7m1^>CeHQ`%Qpft>n zbGuEKyQ6qH0`SOOVgcL(lpps{AHhw>z2$QcQ9Yu_mfP~&AmgW#^158Veb>;Ysxng! z_QOp8SGfY>7!6%?WjHSKt<4fm!`BcrDY+pJ0burigy~i8sXRCcntfK_3bLgwuWDR} zhb>P(xQM5vVR-cjELWbW^cAg0=4#Qu7w&R4L^lWhtMLq}di|K?Zkc#|f(Y$8W1XX#Ed`O0Mpc0 z)J9|k&~CiJjTO6e@CEj1=KZ&MoniLupVO3Ete71gDB0A+%n~=B3nKk-3rnR*K}`E_ z(Z^}8s7wTI0GEF&G6xu+>p`s-$tQ~cw+~+5tFE#o2X)U}BAvq<&n!K1W~gHex7(~* zL7fx1Nu<#2CIPBvW}ZHDtJimy4qVV__Q3WQ z^;nQTdhIgv&|}Vo84byR-lqcR=Zenc2jPsgqva;i_e0sw;-13{i+z-jGeYSb#O2t& zOq;F1sr7aDgHT-OE`$RuwZxGQ%9L;zfCC_&6OP7>K7QxDcsTg9O~sROy>XS8(!#Ru zMI$HCMfLbos^n=1F7x_E8<#tDTrIF_90GeseYol{i_BL#a^g@6s&YrjgDPgH4-cG( z#)$Jjhg0dI$*6(kifyK=L`(%Sgi~o6JT1M{`mn9CGJiU}=_K+-kyzjOKtHVcw7mz_ zmUZxKy&JK~j&azRt>8{jF2JPJrnmWyu@P0&l>9_8GhNfP$KXKA?tloYVxSQ=9FxOj zct^Jd0A>z<@~vQ|g2*UqOES?U{+=%gEr$A8=j#-wj%1czDs^2=>wF=dfgRfZ(J1tO z)C&EVQrP}m6SAO}-~o!&2j?`WI$d|zQcbGd_BR47|81>frOsN z>p6RzOTr#^LJu@>{kUVfk&vyC1Em`KkmQvr8lxe7G(!sHXg|Fx6hM~*LEgo4MF->? zX?wtq2L3)hQSSf$NIfzH#D^Uo1vYEnIHn-WnLM8UCZ0K}YYd!L{N?}xXfE<*3CNfq zTiM)NBhC`0D;ZXZ02VL0>c?3)8ClMG@CzGQ4YT#fTP(d~eX+JFnRWH%$Jx`4irP#g zPs7DD$FKdkij|K3@$6-sA>Dtx<8neY=Ne7>|C0A6G16t(d016{_U zu1xe_(Qh7pSTNv)p``)CfV{jB@gm}7yoeX|hKxUQMVcf?TawM@AX1_%xh+m5sR7YV z(^Qi(0soXYUV64SHo%_5=El&@FyQl@bMG5s$o#9T2pKTD_-AIsz30yNo_p>&-`BP6 znga|tD39)eyZe8hb1kUN=Art%cB`U7^T6#@&!n=ej0=9+uqU*shf2Mb6} z%^OsCo;mR@2=D-*=Yd%bER3L#cM>p?IG{xXJ0oI+=t>c~nI^yc2$$hn9i4`~Me~{s zc`&juMm*$#@%9lUvX$KwHqBDQ7Y&!;r|OX|;Rsi1Hx}>~=9TkQag^A$+Ap6J&m43b*~z0exIVslW`@*tFd~g5$#8s>#kfvN z2_t?yQufm$d{!UeYQbz6>alS0z2aCWN)|g0inL8C(QY0qAbPch&Hg6x0bJ76zF=;^ zn9?VX+E(^1w+kwi5Js4x3s+bCc)dI2R)9lD9wxQ#G$*scIl=th+fIr_w- zHU;(4%AC%wi+0!b_0tTj4(YTZi2>8CqS{dV+KztWab~TaioKI$4l3n&&fy_%cGPiQ z+dbqCf|;qPZHJ&zkpFo|{^b z#57A>qzMrPUZJ-hOvh4pv~@nG&ef51i*8N>?SvrCL!OBG19njR@gZOAE1L$q*i|rg z&>*xmUGyon9vClnAhqDW24egJVDcP}30ROCJ4%^2m;%&ZnhMlC2tP-ZGDYTB(VAIfv<|UoCS>+$*KCr?`itN;kYOZC(fJglPgNpKoCn4!N1mK>mqvgfyb*H-sVzB`oFDbMXYMhd|l=H9_ep-Hr& zQ~Dn3Xr~t2Wp&*DINY1xeqt}XL;dy>%4o~q>uTN6aNGllA-9iU(ZdTEEl^rqyi7Ma zgGkVrKBygHDkces0zfJ~l!k{8`=LOn@b-%AkY(=+_^sdB@)H$-bq+APk7_JA8cS~L z0+1jZFpSv;)s;4woDhU?wG}a!RBui+KkjUa##rNl>>~B3z+}>K)to)YL926T8*-p0 z)owXT=xV7cmx{}2T~MY|)ohAQQCGJ9=$W#!Nn^F;LVW9Ya81-D&>}_=`4Z5>Hgo;Tu&w-Bqdb`r+~=G81m8@bfl+Hl>yf&R%KAgh zTz)Iye-YK+(mso@dHib+Jjt2~6;vk;6P}E|vvjBqhxYa+V!TG}?YqUYgR^et(Jmb( zGyel>#aC?Ko4NP2weTMS{Tlf*?*pr$Gk{7NNs)TpHHYOr^K*tE2AxHa@{t`wNa*qJ z@NWoa*$0;J#e8J*3lUVP$6VTVw^k+G$35Q%0_`l2ssuCm=O+9+T-n2!`+)^kk7eGq z{Hg@3XBtBOY)3~VkPpfd^+{-R45;GLrdf7Rr!an{YPk@zf`i^=YgWqx!gK?et7fUR z#h>|-oBe({H_Y+#>L{;0wqg>yGGDdWQ)p1<75#JXWImnVo>bx^+nvSdl~{vD#1P!* zDpV_5!#hy7)T*P+DNSSF$f3-$^juDt$p8eIfgaw?v5jg$Hz5QCXA`vcZi{j)CuQDW8vP{5$-QKjP%}ds)p9kiz}3X*EF_h}w-7wT*Gzj=G*S&k z`cS=OFB1l@ksM(*%fO}^S>P;P0zkHG8Nqlbu{@&(R>=|3R7rd%wH`PY4Pjt-M*$=Z z?4y##oB2NIh=oVIQPc_WUTk%#-fK6Tg+92GF``gG7UH>co+yDEPH0KwWn;6=eV=!v z*+4t!o8mg!O~p$rd1j@rNU1BAHcVOV6Rb<%n?iRjs^$p)XdKhD{A?a}j*O<04KTCR zyTAcQ$md6Ft_9ZoB(+cDr)oNQXzJiW*t9+jomEE@1-!aV#}6PDgX^3s-sUf*lFFm2 z?)#Q_J{0vM{??DS_9Uu_Cx}WrV0Dww1OaS? zUBCVHV!M6&d*GD6GQ}bzJhl+Qi?g4E?khMKT@Ii>uC#9zrGI4+`M57951kxi*pz0?M@Puf7QdZN5 zBXczZs0PA9=oF{@sj+u&f0yrgdvIx?4*<>Vz>(B>`x{(4;Hcoa3|E3i(Wvf}a)68D z(ZJ(b6+uxAd$alY1aU}PVDFeZ0uhDx17-n(2R~gc zQ9l3T`|rKC11=aP!zJ-$SM{+))2w$sQ$ zfSt!PBk@22FiSm4&a@1}6<}AUPh;vb@RWzR^pG@{(|VFWfygAqJe|dv<@E{g~E<=kR+T zeHwb!_chgqqiGv7#RgsM*UZHze-6Oq!m|O=4U1zqPK8bXy(T?|p~q+p=>~YLx;RUgL`^`sHTkLD=yEIt*594aR(A1c=+8tN3*(lQZ8>jq`KEdr0epc0PjzIgq z*NPVCSpY@A=1->v-D-Au$!E322<{jHc$6@|m{#AGa8JsCvIn(LAwE3c_uyfx5`jT` zP(3WRbf7-M>j@BdbpyzVE#%VdX4PraF!%B?&$kUv5T9;zCxp0_beZ7qnm_)jL;J@+ zwWB}($=@j`0rhm=gT^h)HDpJVqUe~2gpRJA5LLiSx%_aG({YZmdizQH_7ejnXO2l6 zfG5>he*(z=O>uBGq!!rwj^<$1vv@@RVg2+k zqA|=v`jHu{+x$w}8gJD$O$mh5Y`{xl1Z42H&`^QQ3+s7y&x=WU;g>M_JF&)m^djS0 zrpPwno~bLf(tr6@f0wPRssZ_OYvg$Fy&vSH*u2Jnhls)${Y}~uErShE18K*t%DzHq z{D6zkPr89Ug1*Ijt~W`MS=xJNU|KQ4K$kc4kT@*}5+n?}_B8|3&ds;6AO2N1% zGF}z}qKX|5!5)x+?Z-h-by zuh(1P>5=vYdjQfJyK2{LZBQMpIWpL;8x)y3a4G~=68 zK~y9%j;L4Ks#|QZF*Q#92A~MqRKF_dI$@*fjkey?B}NEFX>;ETG)2H_4(S!fYj6Q8 zC9uwhPidx!mz^((T}uE@OLc^UK|cDt!Zl*Kgk!qLA4V43zu^W;9Z#AS^f{D?cbcxW zA1Vg4(@BMb)B_O{DNcd)7d{Pr6Y3mzG_V!pepKuyYOEAFBgz_9T0_+oI#B}d8#*QB zA_awxfrICY%Hz{(sTds-^zqEGvxEsR2fit$2ILwfX`AB>%*p|#V*u+0o=leT*Kfre z)>NsbBB-keiYaK0%w?2!%x2W==~mWEt3)@oCpFJo@h3tSJnwig=Q3K&yr|i%Fcibt zdJ>}q>UfL`SIr0{WsZ{(?7TJAozqIt@ltJRFzBj5dppDA&!I1Y(hPhnq}}CgcbSta zSRL%1LJNcIhprGU!Cikv*R+i@n2U6)i|VNKFnCb;p>RsjhGO(lFpbWc@Y!(an$);C z_?h4u+X9p~PCX^MGMR8;2}nc6lBW%Zv*-2cd@|6r zxU2WL@{poTCnC)H#bQ&H>THM_wW!%=$;>k-+fG2IK*{Ha-sCQZh|ys@zR&rgG!GGd zaBv?F56!>Uw5$B#99IoUd+&5AIAOgbCk>?nY-R?>OAd_l69deLoZ-ZmPms+oGKcJr zmtACzhNR;0XgS9Y4!cc+C08pwaBFRoA;ZY~HWS%dR_(#Y@QKK5vR zjq>^?Z`98MapS!{6(wgl$$8P%v*`rACzjCBvz$G;z0P=}OwK8u&(=rppZO$Sx*4+O z#<~|@_as7N9IF@+ z%yEpRjlX;+w89=jmj4&fq1!`>mrI33N1&eR^XgG;3$Z8pNFOkZ`lu|HgwLlcrujmY zBCQ(5`oA!>{x{nE6#$mkHlG0#!;F2`gZARjdq*y@%)fpp8n)um;mO2xtAd~1j`^Gp zksR^Gbavo^5Xwf1P%jDf-KeEp{#!=h0~W&{{Qh@;`s?5S>%aK@pZrCKsc2xe(@|HK zvL$$!UxIMiaY*r6DF!zC?l1kVZ-3+OfA{CUMgPHQss$lbYk9g-$rSmS%SIg#hJ|Ca zqDlMhKl-Wf{YSs^onQK|Vf@lUmUJGgOBr6yKP?no?2C|7OL1?0Ka{_b!6#CQI~zxMr~{Mqk)?N`42Gyf$T ziSVv&m)~xs3vt5BLAO7Ud>ZToU>a`iZ~w;M`}WuV@pu2$-}&~h|NT*~-D+?ODH4W3 z_hyGK6+D^@cTUQDV}Ix8zV_X}`P1M3+5h-^|JfgW`!{}%{(F~dilG7>8Q=m+YQ|$# zKJvt@DkFo_q|{E{qO#bKYY3Qeh3lFghdmal*ScbR!Gqas5jtHZyJH$rO-UQG++~L0WjbHuFH-Gt0{^0L^@3((~Y7OJ+^Ws5m zO!qrFhx9Gam{vu_qh2_u+G;(G8wtx_IYve&eH!5tl;9!HA92ClZb)sULD>i#VV?rP zNK}n(o1bk!apoXsg%UJ$kwyS89h`5!VdxTuuQhpvI<06>o)LnB@59Y=Y2Zin_LIhj z4{Kc^tXKTX`Xs4i9&uS;J`;ooM5KB9b?BzRBdqDhI1*zL%-JfrR;L>R@LUc6ge|FC z*Ha*F3XqH2oFh7~C&DcPM(aAim7rSEIMVEcg<)VMFkdrpDr0?4s0jG$f0-r-2v&Ox z-E-(e1FHfKj(N9Qsgf=vYHm=IV+It~v`0R!9dbpKKot_v^ST!|i+F7pdpdmS$hPG^ z3fDvf$Lxip)G^)}4gJjgmmrm6+^aD2XG1bV;Yt1WmkGc zsGRXk#@-$v#a&PrkQ#nVu3^;zG?>HJ4436H{EBWfGeE<3OuI~7ATevftE$H9nt7<& zVM)pS^!U=^oeNr2d+a0(sI5(Hct_iwN(K~e0iJ!cGkcz2a0xqnHS*63==+rKO-ls@ z9y9K+=_~s{AAf^tuCHy>C_(+W?ek+)mvwGFVqX(A5+{Cl0xVM*72F)UDv&XJdB`_fA24HS3AP(pvW0@4-PcU61u)an7i z0Tmv)@BHlSgY&l+K#<6_Qi03`@R%9(EU0`+mjG%uP^juYaChl zj*g3X1t9Gukj&tqDg+~*e^w1Iey$!8TpyTv1mk+R38T?THTeAk@8m#z20+)e5KjOj zZ8+rNWt$f4fo2bOOgidM_8rwi&jNY$p|V_1lyLc>DL)=}zVriKh3@>z8f23KuQc1c zQed2jMrK8(z;x1J0sRWEjdptPTr+@ly_-!GRgbc#PJdF92CUdVkO-4*SGHD6KsX z1!BQV{a9lUaN?*>j5A6u0~$_&R!rncd_5U2n*4v!0RWx>43dJ=or%ACOk!KnV6lwwrURS*%w2^_x@ZUriGICsJ8z&F>oy9E3ews$wVg>Gve$ zh+lU9hL5C6D&bcE`t4JyBt+^Uu^NP9fF1%w!SHs5TQ;CL954XEncAWjF{+ctS4sLb z!{cr0#I8j;VY9A|_z?GDyf>pOeJ9P3ZO%#$48L+?rHz?N&ydRc`7hjl1e`qh`J;=b zMv9rBzXben#)$6yTiqy!poNU*MkaQ-A$_K=@%rs(T%3EJmiq1-5hR@C@Gf#pzSq3q zr_rT7^e?icBU=Se_heE=aGt?;&-#QhZN^!`i!9#w`*`|97)BS#gXz2Lv_kPk@@Tve zE_*4t$S@Hot6h&um|i4K&*y|U?y&G;glTf>7r~HiNaLbLL;T;vBb&xmnFk0*;}GmC zSc8|3OY`fz?AT!kE45iPj>#oY8uC;@dOv8gu#59=oPrM86I|99h_TEOkdND`JUqxt zDx6(KJ2#b=Qz;W-dOYbA?IZ9jmqpb)FU*HUScDmuvq+96U!+A>q=BLtR91~92#Ylw zX}`+_V-X>fjO9_%CU0$aSPzUyc$+1r!y=}3$gWiIhO9{2`249rUnBy}ls6ivH*t6- zcGpRakvRR*i9yG?oxkB|jG@iL;qAx0(D2=BC~o-lKk>}-P0z(XWBa3G=L7O@zu!Au z^+q*@to?LeSVA)-zGWL#uGp^wj69*d61vugUjlMEN>*K2_TTr;T8obEi+HJCwZ^07 z#C}wf_+jlxqg}1QONJDE8MJylemiAvQFcz_N+7&qsU?UfmUj4>W*;Z05ud}Ma7#%A zPbiiz-wRdQc2dRB*FW>6^Oy9O@OxN~WfLA--eB>v{=bgW(?9R`kO1<`eq?lj^A~>l zZ#4nX2zzLc(F=c%_Ys9to11+an4fQ;qj;TztSRQ~fd0)}ci78LU#C$f) z*wk@HQ_{d+1SzTWi1+0v8ru9q_R0*L<;RG5@vVP@!+S;$MP?xN)+ zt52F5WX4XC;SA4w&r*+60K6?FmX1!aNfs~~XMXg2l{nHU^An2^8jgr(rPJrc3GFXm ziUcQ)pZ1I>HmT-ik)I`6R&eS(Ia%mif9YTNb2C5&&frzw-?vMf0dO-9)B|t9Xw%D6ZIfmjo#tyv97&7oV7`1Pz0DSb8^0_TBsb0UJR?w8-*DC5B1! zxp3D-FPR8ot?TQM_P~#&ot@byr=1JC-Q^HW+n!vR4Pdk5W6{b+Q_$yoo5HoOfVq%q z@{;ss`!6S>mz;g_%AR&acv+bcQ+;Ihcv<-QM4`38m<~tK z%+|s+YC6St>4K0*okqKr4}L`$hvemo@1t(|?7&>>tL*Bwt#;sa(-nw83YTbhn^6Vg z-bCB)RsOT(U#`;hYUwai6^DLSL;#o2ZuYb&h6<#EKeSn^$<;x5WnZfiZI?@Slv+OF zmDs#0o#mXYwO96ZDr4L>fC+&!8!SE&NWsi=4NV(2k)iWE>)-t1d+)&j1GiX?@nN4g zyx5m?*9L9vy5Q>~ULn}#=P=_+@gyn)GwEpowsH`zS2S|DZD6LZtK119Fvnd8R0l8{ z;AIu}UFItG6N%GIW3LxFcZS~4a{CWRx4bEudx(T@dhTUE9LETzvD=ripnEn#Th7Jf zJz1o2)GD=X2fPhcmhfVuqw~1$WdQG=5}g_I?fof{-5_hcS6c=Mmt78JHZ9( zqCfLo+Kqgnqx2#_N*(brMg(i%O(-P6t?1%N2?uV)lm$fT1&1X2LQO^Kb>qd%JLy4_ z>v;f0)YV$O^k z5{DzE&5Ri>J#?I?vkmwfTM>CFap1xnI%S~p^qIC3RWo=Q!a$i_$oW6NFabT+FUw+n z9D|-u8Q?Of2NE#Pvb2#8-~tkr1CWh^YE+)iSkzw1E+!-G&+;62x}Q$P(s%Z*+vH8Y z9|r>@$fNfO_}w()mq5{>B)z z{xDD7C0?8)Zk*YF(e}Yx>tTUc+uV5o(!f4fOQ=F1tgqphQCWyJ;rAJ~ZtuDp$WgS_ z3sN5ZIX<#!XJ+p5B(T3?Cq6LgVibVgF4P4yP;5Z-3Ib+ov4s#3FEE06mo~cuYh>)y zTPz#|KHS9-gr*ShK{B@EzUmU7x~q;gs0zTcWIxd;kv6m~EQEM?ef^DhpAA5-cG^7v zeWQ|6ss2~+nDQ3^KXLD5eH#>lcMC-5b7b5aK{#6U+IaeLOx93)Z&Lj@;p)5Nj#=Uj zepz*RO>cOFjSEb`N@!cdzfQun9p<;VGhIOfLlzi}`lBhJ>29j|Qk~95lRI5kInci&5GX2=dWXiJVW+8iq--+C~Z$-)zlIBa?cgsVu zvsF3o8tG`ylpsDori@WX2b0muF8XBMy?7mccHRndG#C{$v+ ztGdQ?1HYay$&RjcV*W`2v)295QY?Y=Mw^eUkKSEN*tc-qk?D3;N9o>d=-&9&lqluR zR2U+kUv#u_h{$m0XK!5FZC>vRTGQz16Nec6(ClHN4EAyM9^Ef@@Z*98|9HWt6`oOF zoh3fwV>*+q`NSS5ae2;96wU#D3}&>p89#|kx74~qhZIlk~8t~Rq;deGx`7M-Es8 zqq`^V{Z0y?2Vm*}^Xk+9T6m|LdjOJg>_KdW&bB)$nxc2~^PZvYfQn&7j^@p=@939% z{x|_nUF>YtliF@TFhiNt(>=!uhfZcCh;swH2+E=Up^8Bmo|r9ma+UB{RUGodzH1Np zJ!kX~z++_^Ve4+OL5nyPm&1RX6K*MY^y8l2(tU>wv)$7?7n&RUj(#6~=NpX1JNkLg zLBk;s?%)OlnnqQtIV5fybWvzGlZ+IsyUlhjUjT1o~8|<6Yk6r<;no&)v zj(#h!xD#00&Ob!fW_w!VD(^)>8VRvikXqDU2Jf*wr;iCT}A{Z|En9OOdd3UY0zqT{bE<_L5YJ4P7ht z9OG{|V1OKL=88}B0I>4fgX^*z`m{V)GOzTuJ1R8mnb1(E@AQs~<^k$xULDLc*t7_| zKP~7|#hP4QJpp3w&I_-Vi?<@JD6rORto<&a9erJcz|k>LWObL#KT;ucb*!$zLKkJg@on{<5$#_ZjHf}dcb@`qZ zN2Ywh>e#T^0pHKgmy2Hq*>!$<rvu69ytV8v!bq(w8lyYN#~=3X6%(XXAanI916la6SFMauXO}{s#YHt@zduP`GKwec4GZ2#sI`uA9mT91UFZEkR90Ty0v`9X`pT5u_{4_4l6p?!a1kbec&oYEp*b@ zORdmkpu1f;C#7vY&ap=T--#-c##U@n?(j}!w_yEvPJEVRzLlCx%MM6jjE(^p)1zWS z?1G7aujQsSK4iv+`cdJT0!dr&t<2=X1Y_I-cHn;|Tj&Q+YE3>ahAt4dGmyHGB*0VA zIZll64QtGErNmS@uOA)(U+$SepUDSAPjBc(;AgY|dAyw^3h55v_rtZPodHpoWT};!q_tYoETXTUZzjpN zGLvVAVEN56$^A4#0F6n%&jHU%`w1rTbESl_2mBVc<0PcW=Zo#WT5MmcT}pGr@?w)u zd$P*&%X7sgaXiY#K>5!#3R8qmHJyB`(5PbnY?chyNQ?t_^`=@f^~H0G#6=glCQIJz zfHJvM&9ieiNk@6;`mrsZTli5z3o0v#QF74_Bc=T%KR`NoE&kW`M2eGe2r z#giIJH*_B+dRp>b%ebz11aMFqKpE(o4R?)KLm3TlpaC63H~(;wk@erZ1>IjI_hqIO z_q^DlRk*2uysi^URDGY+lxn#ET&GJamPGlyWC4AL!Mm+WU`$*WtdAUx%HlD2>_gdtH;8Z6Ks8#!}*(wB;bWPFjUucpO z;9YMIb!ybb&x{YyY+y>#<6l;X{Dl$#?ClH>D5Rso{P$d*3=HoyI0t5rP%y)PWLNgk z@3*GvNCJ2V5W&1vFLZT=bX&DP-dbIwh3f^F%4~b$N5x?|yjUZ|XJ)(>9ziAX#PlKc zvVup~OL;wD__(CiE^`|;_IA1;o*69!bJChPvWiufLZd=gQ@H5AT&@cO7njthZAX{s zcbOZJhlzXYwj9>9t?0LI`~1%G@BN6j>edD0Vbd+w_ZSZjDmYzk@oNj39y)m$CXUV+ zL0YE^U`Jv|lfoaXy0GO*U4&%#m2tpHlUG28@gsM!(1bIjAs0K6bf^Ii2vsZiFbHQ+ zME8`L3kbf$#_`<`-Ep=Hp{4T;Vke|Q@JRbxhb3oXTBep z52>ou4XCjjhW&@}ERN_yZx)B1`Or^h)F#h!XK|)KOg;=!YN?%ivrL*sOQfz&#vKnz zr5|R`RW5bkajf5_AGe7XpzaRBk=%c z78q}5nV+3c8bDwHe;LLWYy>Y%oajT>pV1XKb7w*7UUWPchDm_J;(oN~Lt0h*VVFHL z8VSQwH~Z@N;!uP>6<}xHEXs7Rdmnn~EKOjWqve#D58Y^%23&UFhW&^1m(L%1N%BmE zG!h<7)yMqw&Vz!gxH2o^Sr)i`{i0dy@rPmRU756QM$1VurMDLltX_=54^W-YI8mt3 z2qOt2E3N40nXdRBUkt=I0iZpt!~j2X5iu{IauU#~0sw4``)56;9I}@`d?>?*4R5+%HbR zVxCvd`q0_KXIKJs3-Rp*_zs;i(7zP+S4qR1ca5`yXTc6Gw77^;?CGn(|(H7NwQ~o*DjlE|s>s5{FMYZs~NyTF6zQ>{a zwx)_yt9Ptp^x69_QH!CTF+#hD=h@R}l0ENgx(~BSdp@U~jP{U4Ta{{!_mpm5EV>d*MEvEYD8x_kqrbI8 zl=TvwwV*zL!Ib_b8RqkXq>O_5rGApsOGA&55daaJv{*EsxQ8 zt_9xr(>@>CVtRTGw)T@l+d8#^p&N16D5z|-GWSg(_6PL_ztBIS_!w3}m9VbTNPI1Lyr zDh}a6mHNzB4DvwM_(4qS$Mi)46et>}F!U|JTH7t@mll z^YEP`2?>)ug5i`lyvPL`S)OlcMper-Y7sbb1gsm741l-NT2{Ma&lIk-sDVpKIek#% zdNBBUacH&F_63Pp7H?38fNdZgXb&;I)v%@3E>BF@3Rq|_1gt7Em%1^vlHUf+t0*kV z0CI^1jwZ=0wO7;tIC5K)gsM;%b{~jC-9TM{PNce0cDyUvc#l27 z{f&OMq+~+4%S=rs=qD8(;=eHMJ6?qpF!cluGL)MOe1rPiug>PjY3S`w!52z@Rzxg-D=u!H+W#YJ&E z28~P<)4gB>Lg$+-V`m9FS74*=md4X~2d(>a4)&6rADGGrAug`MnOn-RelxgZ$LNZ*3lM(HC?ZhpHEDwjx?z~G5}Rp$5t;B2oLWfJp}k-M zy4qy{VER4iU6Pp(Q5CrL!{m58YU;dXINh%Z92kr3ZELZ~q|Xi0(Ni*y_(y#@7RsWKHOW;C@czIcCW)ocZ}LU*>m8F?B}Y3 zqkVTE4fVi`wuNru3I0(#Gz@(Q{pd-2HgsR56X{-Ns!2ON=|Fg?97XXoIY(ZPz7$b{ z>XJ<>>b>@&+oIHidUGL115Ms)ao#m=KbaSmG%epF9?Hp^_U+fvflFnV-IM9QXz0EP z>*h043qGYa>705%aHB4ZWu;+0e&I(n#d7c0Z%!A9U1~URiBbKl)vB>~j|V}`r&}~_ zS6ghRh|#CZaFZJ_ziR(LN1p<~-n{IXAaDt$2XM3O!P&COadAfGdzQwVcb3v-n?E4P zcXOfzqzZd^+LQh$hLNiUZo1ljP!nOP2+N)k=3N&CeWB^Nf=4{Q^f_6s0967me?wB& z)WT+KZ}-45Ycy`^d5P<;EG00Z$t!qCaNGH%6PbmjTEx-;-l5QjCJ(BhSwA3s7Q?ivzxRu=1tSgzB$qba&ygV`Fuc2&>xK(*@1aWk}6*alH9 zB(cxMB4rzN13kX&+J0jyc&iw|LN9GYrg(=uEJ_puH+0ZlBx}1^*!jArQ|k+$Ce14; z260f0^dPB*7;wtN!a@-iUCk!7J1=HSyA}HHBN^|zArniCL}F|@=-QaLPFFU}v@$0p z9?rS2EAb?!;oqK*M=TQqX`#1ptG{nRHSA%hUbPzT0XRXa#=vzQ#TnTSv{V6v;CKY1b2mpVpuUlv&BLU z+{9}Y^sjXWc!+e>9wyUAOxJ+JRD160?Rs%rOhqakmfTiGg3^i*SsS2JyU{%Na4yYEuOYASG_LptwG*5J|4*Nym6z$lg#Pk8;Kr`tUTO_@wQ-FiI z4X46aq2H(_p2IaI2TfU=V+cy)pUli|-|=CN>nofGUfGOw+~)Td19{(pe7v})QK-RR zhA0YncRCMXf0%MdEs4TKDnLC}tj0^x1{~q0g42`CjqE4+p?o?X=yAd<{ zm@5fsIx)gu(~{m)Z!0__y!}VkyqfngV++MjTP4G>3WDas);nvp;a+W2N8R$Mp!6;B z64-GCH0`5mndJ!-$<)qPh&P@J<6r*@bh1^c>_tI+&LK;~5W}nn_8nl~kTS8L+c;fN z73lLAUi6iHdPK(q96}i2!DNkSg8ojtS8u08gusppspe%$k}2|0AdxleV$xTPYQU7 zO6 zDV{VoZcELASyXdxJJc7dMl{9S-zM$7!s+_TKIEvbp--_mxRm*k%KTU~5=u!s(tcl& z>dMSayT!T!Ai_LnW-VGpxx+{>TiU#28Elalmps~CXzJ9(8c2%P&kn3q8e>z457Yv8 ze+(HgWoY22`X%_34izkI##YwD?F!)z?QFZQ1WwAHRvT&YGq>l{+*NG__z$~kz_LKY zHV5Hp$T5Qv%ub-bt(PJR24q}nu1Fjt8AcZ`)cl^l69-PzZbU|Np!wfydKs{f=V%%{ zh6TG3UaMmN`kL1T&Y7xxPD(=iHV{$yx}iB%j1bxk%Bq9@1DLn6ndD}3 zG%WbA7jWFFCS5TWpp29UT#)H}Mc~npGZ4PWz{R6ukAOSm3_K@q=<-JD2P3+V^NPKl zIzCQ9$sB3=mcdpOO?wcRg9ZTdxxiPIwx+!8w3fCyk*tz203`-g{kREuXCf_J+ZVTdCs167b8 zK0nMyy-GL`B2AoNkn$IX=S9Q*3;Q5r7#;a8CBg3ygk?)ghy?==ZW46Yr0edKX3ooE zvE_sHE6F&tU$}c0sySQ`=XqHq$S!eAD>!z(LTkRw07+8dC7Z6Vmjy(+0P2ktEIFyu zda(trb&X-8ZRBdj7(A3Rnxuqzw8ZN|xw}%In6^XL1Nn}JcfEi0M?V9Ai6Nb|dkST6 zn&&m&ng`enkdx$xZcdjYAb}+rd%=N$)&OZ>N&qz%W&!ZJgBw|2NVTi#-Rj=HD8s&6 z*7rj#LdT#w0)+~<%xCLBT73cEi5rRR4WK#{Y43OnDAwz<(jrF#5^fMbzt}oM1Kv$O zw^DcMK0$V5+t+agQ4K8hnbn%Y(e-GjXKMD z)+E-nYW6?TSf?+~wvq6Qywa*DnuQ2y2#N*9a|rK2glPc z&CaoWMoA%VBuHZd@eTQQ)k)$zELJ^A`6HswQ0rdwdB+7(>Y}U;FRak$3M`S%Cfzmf zYH&%|bC^Zi_N;lK)2LlXJIDjPZ1M?^&r4;Ut4&<NZ6!b|+x=;hDMs@UeZ@?P-_aRb6xMC|HH<*Y>F*ZG5Th z4;zpz=co>Dpsz_$ncyXY@q$Z9l2iAHjpLsC2?OVgqsu=CB+WxyflQY^v&= zON7f2mpC1;zC59(*I3cU@2cHa_T8Za3ueP8v`cUS(!qLEkGZ^Gc~0^=a&Naoo`}To zyaL8k^;rDz&x+(SU(+Biw!Q2{O{yq(ky$T^07qeNeSJm>UJ{#pZ= zZs?4~L$OnnPHO=Zu!coXarzOUHiF;L@lwGaC z9XBpZ)jJxutDOe=t@yPYUTsU%OKxdCQB~&E+0Zuyw*hZ=(}u_mcTw$Ew9mArq~vvY zV|c>8s3V(j%baf6MfrGTN!{uxE<>-LX)pC92*z&R!3G6fmp!}|uWbcadMbQwWrq6R z%}60zwn{%U0#~LM7eE^KYd^XuU|Fl9+*zdh)oH;N@kNmXn&C*338?+(iuP*N*-6m7 zxtG1v?-%`YIk+g{#uh9W+HJx6w%y7OKkl3SDc?eqe_GaKs$?_$p6hqF|20oTf6Hf{QTae|e&IRWfwT!x>{JV_3VmT$qY zqJ%Z?kpy1N5x6r~=Ri0=e5mO#edzWdcR5}>8LoCwo%R>m63G?=;t=7qVqXFZ2%bO1 z+T1m|9YHh;bTLd0xW|$AK+A$#e%L-vr6;D3iHLuIVbX9sYka=7_0O&6UER*yVF zn&ui;j*F2C;z^#!iR97NX7}kep5{g)L91?@I&nhl*S_@Ldw9JBkc}975R6ZgjFe{Q zK!sOJ8$pYYc^~zJtwGgDCdLlv#;})YrI)5ZFkI;JiI7L|6E|?hZh=a5VOhaJt+gTi znK9qEleyqCfPK_jmyFMk_vjVr=H~*EWFjC9Y2(21{;JL9V|Wc#hq1gm-(3hvduI~* z9X3F1$A84bHdQB$`s@ulPucAeH#p632b||gE$HfM`Vyt5L+SGmpENcPm6T4ao^soz z#IZyi#HK?wXL004ZYH>M(!)aeC4Sk7_GIjnahaiv9TiRBxSS?xS&Jt{*u?U$qkdDb6!Zd(cbWw@uykTZaeAT`&Id&Z0RH@Zv zP15rgU2V!-aMWprmeujHM$@jQX31za)vCSh719F^bg4PLWABdh!a-?UEE~h5%i$-N zBOgvXD5mX@FVmAgsbPyYoVTnP=vWtiyoaU-$kYZ*$NY4(blCr8nfHo<=ZFKcVszk8 z$Od772gC_rz`&Hy(aoL_LV$z8Q6e5<92R*^cW`Xu`P<*AI0004goq%S6*}NzQTw;w z=)VI(5PcKryi}*RU*|9JA_gpCI{Y}|m~E8n0^8&0d$3O8g``3#kgaxaKVgG)23^we zFUgNrSo@Zl|==GsfJF@G}7_FR5~9QSk_$5juILWiB@! zj?zwG{n!^iCpwp&DkTF|O6=b|=M*NMI|FxG0uB?}(!h3K*-A0|2+1!%fiCfbhuvb(w}XjhG!=MT|G%Fq`lN5B_RI%_R`S5T2AtslmohX z3s(2Mro|0oTlRUhNxH3XP(V6GVBlOo+jRK9K{=i;VayW11=7Uyixlf>OtV2cBi-k= z%6?SK>XD}EqjH)JDKju197z$}J|{aHNXg8dXd4e^yV;CGkrRXBOZ z*e$jvMvSGKJt_B&;LNq4H9@R97r|O3lh@dSEHrW&f~k$!KnAHGQD5X+XK`AvyStGB z10tRkN_(@g)mVscgi!xfEaL&;KXp$?x@htT@Fu=cJLaSv3yzIo#a`s_8-G+&DSbzd z){96BCO%e{raL*S;?*i$h?-Q&v;N&5eeXR|FBg^JrkK$9G+n(?i@`6C;r}+;tSwio z$w!vvHRI4gzP&vbR2{_;Cvc5Xaz(u>NUw(*4yoCQ+&HmK8Zp5fO%5yao)Hg7!YGEB zrZ9WAQSWbx9JkuGqehWR%Z@;mpUIYgx zSD=^lieJLwQH3&R!{gX6Eu0`5vlo>J%fYx=+0EOpe}3a_&&)_RpG=;i;f~n!o)+0Lcy=%whmVyWpTsyHs>#fBQR%UtanyHbUvA zKW$+K)m);3xPilghM{vF;K~1yt(jkF+{+w63wvkO_0jzcLy^H*5fq!Kc<-ppHE;5I z&9TYrF0Yjy4wjNZs&`RYny-v!dDf9TwcdANMWr2R)xfAPuYb~R{ET!zxTAjYCZccm z@1^unbN!3v_d__AeyA0-5sbx8`C?N+T~ph4Dj>Qh(0_hng7*jfJ}|9JW@TWefUa~j zk=Y1zU9qo(>Qet9GPRS~qQc(tNH;!tlD<~AXB*3M5YhZd>#$$T=i?C!2bs!cGOpBI z9`_LfR#*Lck#?NTIUrfKI{x~sgH(M$;5LWc*bi@iowk;xz^a*fGO5QC9ii*$3ENt8 zV3V)(@Sav~Lq{i%S1_7Ze&3vnI^9|a2*W90mt8*Q%lxrly|P*_#H?waFv(+cq)96c zySku)>-$<3K0kfT@wckkmv%iF>TsCv>_&2LsV}m}3x|v209kU_5dCt@5##7cxq$EX z_pr$|AMP#urXCjHRM%!2#*Do?uGGDgu0TagTNBs~=y*c}1bdyTwgnSmUhW#-a? zRu1X34#!n8Jp{Y=BVS!F*m84G%8m4>SOY})^)!d)>x$jTv#1q21A$$_WO1L*f=~|b zfN>_@-btn<>@3SZ!|st9as&*?n@Rf2{%`)Vt;=b_{tO%glL>i-XwYeU+;_`_Fagvl zgO#Gm7Zsfru!l{Olg?EZ?PgsauMMUTXX=vu{l=LVbJ8V%Ml|g-U+1}6mTEx;Yj~|M zrvS6BArfwqW7UyT>Re(@s6E{Lon4mIX?bO0CIZw|f^z`#KPT0_EfCjOo@jl-g%B`=fF7wDjY&uw zKEqG)9}EoogTMJpfBKvM;0J%>m+iYnRdMC?&mX_19rB6)|5WYQh^8-dwnYWjpZ(Rp z`h&my^MCqVKWEc#fA&}Yp?!By4|w=z|K@v#W2gbElw)hokNo6aZzsRgy~Vfw^lQKR zga7n*?YmReeHjtLR7fNI#v}oMsSOl8gv#^hTXf@wZd&*Q0gkV1lc*U2!l{^=k6 z#Gn3^-~PdG{RFj@wnwTI$FkG+bA>q2{ZrBZ2wwZ4^@G3ttAF;(zx$`Z`}6kQx~i6T zNovoJk2(SWPjwEg|K)v+g`x3X(B+8TQqtk-h@EknH;cMBwBmqsubsT{tHsLN0J1}~ z@xz@>9Z=hIH9r9yfj32Q5fWmFeu?>KRv+1HxA_{xMCzriy?XS|lw<_^CXpu&^#}1MopavZT*KU(9flLUb?xuKy z_yTzW@zR8E$Z5(3A(8_#6dp7!l(F9A`;)u^@{hU&a8~YwLCo=et$w(0Ab{T>UElG; zj07aH6Im-&@1VZ`lHQ(oMahxFf$PzJx*F9Y6H2rUF_&RTxjh$r8I}%J?{h{$Bwmve z)olvTJb~2m5D1uXc2FT%^6K9Qx=m{ld7h0&3iI|tv*D~#o>aHaQ z;$vyRG<)nI_;3!?8)3Ky=2LIv6TalW8xkhePCbWl#e&q&AYfl{Xnelkp1;+bQcd~p zwd|Urym-3E9gKS3&>x@YUXzLiCKWXPtlsiZa5F1S(MN=AwO0!ssx9Mo(Q4K%adUE> ziXH8h$9&Y@5xw+zMlNWv>B^_`(Hdr&FaMn9F8}-(P{(j>a9S>ps@swtVhAy_P{`l* z`Tp(S6Q0oryOzC82;b;#(~-cFjR3Un&@ijs0WsJNxCyzT&v2G}Yoe`bgn$l|47P;` zEFUA?O~-t%rlCpy zD~KiOR4FAS0{1)qIKC*%ML0d*5kZ;T7nV$k6VoxP>t!22YUFz>q~qZ3-Hl7S6*s7mNmY%}2Q;I)$7 zS_Z+jDKedWVT z&SoP6ILYWyP2cby~6OmARZHNsuBCT`KU3?lt9?7d0suLP<(mMz>N6Jc%Kc zgOz={jq%;*fkv3N_8f`5G>mLo_lK%cCCI0AGziT!+RzRR`30|QL8^wa0XBC)b(13O zCU`RffS2c#U!K>NKgz%691nmy*%x`AC53C)2@Y4V?$lQBDT~YizTM<+oIr{U-#tI> zPIQR^1(Op>?&wqI4h(`?#FdYqZEq%Bgc~y4prJT%uB1nFc(+0mx{cP04i|@n1*D&{ z)~VB+XfFp+RO(=wSYM#|G6t>H4wdk@1R1Q|dsglpCURq_GJMvjSXV$5@4w_fEqJ^E zm>nQn>kd>va7cthq|fXmDR;JCUmnR^(gxGoq)n8?>coa01s`sU{w&sK0iyX4zs0FSyn6*R z?2EHB1P_jDjlXqS2C}ELh0h}2La!(%njz$Mme5WLA3&thTriG{g54QiUg6M=e*#N< z-D&X(=*-N==Mi0OW*~8;v{tpq6_cSsoc@Q-91j)xpTD4YXf~lN0Msi1lKfEHG>!%= z)PDlnU)i8S`nWB?nfB`KuQyFeYfkD$hlQ`7IXMpPx~#Lj z_L*!g3wIL$n=o=9dzSz3^`bdFk`;U=S)_tQ)c=6X`ybwW@4bUDo%i8AS^>f93S-pc za?v}f8MTTv8oI0qekc>-bPCQStE$H9oJL?w={~aV+JcnUCBJG=L6Ja50>Q0*pk0mB zW?*!hj2!yoBy_8&)!T2C{pS&@T_7P@AsCI0B1FqoW63d>8C(DC{m&_GW{6DjInpJi zTXP>vgUA#_zqsxsGR61tycT#Scq64<>nvy_AW3xNZsaEe07>#gs` zL3}1iM~wvTjP~q1nhWC)7sT+8q{QbSZ$`jnL0%HkRyYyVN9%Z@lpbG(1R-i9rS?Ts zGtj?+Mr*GFRKO!Ml{k%-iAZEXb<=@DK9!P@sF*(6E!IFx3$tndK741KwvU|gxYH84 zfj_QF-93R%yZl7PAAD(S@}BBvpW5vG)$4|DE)B+yD&H4x*y_S|P(%XxHcSi;(2>}A zi@}#*`l(d|U}H8d1SSQ{Z6L!cXnvm>V^m1Iz;m>{$4jNSWJ0|OixhMh9Sr8!B(9Ao+@=&PSistFiB(m z#DM}sU0~Q#f|fQvc!SVLiwQ77)X&|Mnv79$wYxmZsflG_Hx}{nU^l1!V!yShm*czR z$#tcm^jbl3vlB{L4>n>cDH~hpV|JADMqS5-_OfjXma0c7yk&h)fxf9(YheoJA_A|c z-96%^lg2(Ct(kPZX7t30uJ)80riR|u`WL^b35{?MV8^$~E4BiF7Q+2ChLPrlVLV9O zQ>*|dzHnQN-ZUe;4B{!nT*^7d2Y0fP?gT)UYL!KkPaRBN-@Jl)q3eWwwo{jHSQ9$| z+njbIFc1l^DCLqjU%$`g+Y(vC>~{x*>jU{EuMvc7(bRhoP$|4Eqd0!Mj*%NW7${Qv z{J6D&lmS#06)rHO_t5!|%M{6N%Wg;evX%!nu*|&VCj1sl+uT>|zzKVK$DA+L_QNSh zMWoLtqr824=1G-n$Yd~nP>6gZ&)cTeXRcn69T-QnS|Z_$G5rHVlA*`ZD`82v^a zu`jmU0z8%nMv9}OVsR4mcPnraj;&>-y)5n$z^;xfN4N1k92a3pSi)5mvuT+xbo>1N zXw^-~1wuOYv zJDT0O+G?t6{Ki39j5Y;Az~;bX)IhUmlCFD;l{!Sd;k01=5ad6#1FNaeW@6f3=|?KR zGUh^-rpeWeYT-oeS~cYJGx&Cc&V!jGujJ7u=me zs`(XzH1Q^2<%T9SIU}4bQF#V=j}qS<^L<7pgXSCqu^$~@3P>GXLCzP@N#*(JnD5g! z8HeTA^Oyzc=#2XQQdYQ>{gYYxfM4_(hk8#HR_@Y%kL8Z?&S!hEM__4?C#3s{K zmQe1)0K=6;;e;i$uOvbQN%J~XOvYT5LZg{Ve^6;jFyRRG;ul)Su=Y+A`Jg2ov4r}; zvtw|Su_LWHio7TVTj&MBXmXXUwX{P_O4{?{IQD}HUubx9_>O{T&xEFK8c(P~y*}F+ z%d4qmh`|ekDO0F-a{&x&t&y8~iS?Ji^xUFsA2~wx1sdP<>hcW4HOpC%QV@cX^00H_ zAa?z$jK1mRq7zcnU?L!iT(~q`S+(iKRMkBM9PEY7^qLTmxLofBNkO8OW z_GQm=HEF`Q7o&_cP+IQiD>uDCK^zD@+_)d(gtm-p9KqMdfu~%2)_}mf&J}!PHt~~6 zI-Lw2)#55^aC(h3IFJ`C9?VfchW>PK=qGh=K%sl(mWd8&PI8=LtgF#CC62FA3QJd1 zH5jl+%~XZnKz-hpCcP24aWrKY?$^bZGGpEIEBmI%R|A=JGVP8e&XTJzotkm*p z_T5)TRLF7&Tw&Liv35>p_Afw({k!!!t|Mz5RMUsR>?!;n?D#ppc&>s)mDt zVF&=xa$hL;kYgu|ku-Fz2Ru`&`bmw7CFMCqYzw*|@~w3TH3g^vYmkhz1t<2U=r95* zy>26Ii$XgmtkFVe>maTq@X-cRz%(3w-c}!?rCCp?>e1Xqcmt(Mt+IprA7YI6)c;I1 zBC#rT*}x);c_^u&c!XqPs+yxhD@O=b9S@CwuPmOTS9zW97xtlRwr{`Av?!?=Yme&f zajA5d0+mVyyEEw@N>oi~e)4s0GUd6AD`JEQ?i6X`k4 zJ5qNA28+#-jOc)xF^3R_oo6e99WS{@5>!8=A#!zj44Z-A8@r%ogVH=RJ>a!OXF5uA zE%-O)h&v*chM@%c)R6HEaGmmGO6wt~VjsqJk98`&h`>(x2?x82?WHn+pse5_X_%q~ zh-{!qHJHI8$PBei9$b+0Jyny%f=W0NSL zTc<^JJkTu6`!uwEBGUfb{0&W9fCpFs-g)WZldnAa!;8YyjV$Uj$_VJtlL8u@OVyzL z6RfJ>hos$_{sJ!TS`8(HxVoBJP>Kj306C~DbrLU)oG?j8Nn)ql4do&iFIvWHt6?;<4tL-4c<+0J}s3DoNt(rwa3wx+WoFU+*Pvl#n>l`=5a-N^2 zX_Ap22T0MKS_FI!OIhzTBHi9 zqHqG5?N%59n$ZyG7$JB$jlz)-DssPP4%t2lwq)NV@xm~%FfG6(vF{Vn5CuUmC!tFV zZ8gif+i{#+pNh_He>C8pOKTzoD(*Vp{ubC6zZOPQTOf2@60E$VZ#Cmu|n)nR9041-pb0X&X2mUE*npe z&7hG6!-|C$s5O?%2pP|~-S&7sdKRyHgV4--J4^5ie#2u2wA>6|K?&lc%hKYH6J=WO-aM;F120CKFtIG*joo^V{pb?hBgOTlLd?PF1A+ zzN~3C(vBD(j&rQAl{`ocM5<@lw7IO<7#MxrD;$k{Z}H#Aw$(QnJoz`CdRfkl1o7Iq z$JM6Ak)8CW0!@x= zj&VU%jpWiU6b;3OX%KRSvG2^zZ8Ohd&NCNip|DQ&>SSffP$=Ln+M>Y;_9j5AM5=7 z;+W9ZbAzLxL%dF&TxQk5R@2_l>t*&+gy(C-E2J?v9Pt7jjm3h_V$Wh*OibYi3o`A& zlK0fQ!{u^X$Zsr{z@}#aZl5~=Z^E|p-yCtyPn3R?4-dw>#$B%6ylEo;t*=~NDH<2H zg=sdeVl{v9^m1$;H_h#sa=-@_P=Q-$+>`ASj?(}U_BENxWQ7~xi1-IgjZM}u8zW%0 zH};@3hex7C-(1r->RS$|rl%W3?e9Q~UJK^gVTq3Z3PIa0OXSe}L;_6oTu_C3dP)YmTkpU+>r`fGS@`26*^+9Rf3z>xA*Y~3~)LQ;9=Dyl0L z>M(+)Ji(hLN;)JhxCYa1_s~x%t6fUDL}i0JSk+avB~zk@`GzZBhRRf4yei=^uN6b* z^wPKp^kX~XW}0@KDRmjLP*T8P0)k8f13SHJsqZ~f({;W>EkC3+wP3GaT}#uRE$o2| z`}`hJTp9tFQaCTZ_r8JyWgO7OZ_&bA0*fsNdI%^$Xd2wes7`4h^G=Nn$YiS^IfRNO zX%^{q4A%t?Ac>!Y&?8pY42KWNUN)#-$K_5Ya;IE36Cj(s+r%K{g*fik#x+PoZbbR+ zj>Zbl5+yqFhoYoSbA^-FeNCNEkY$%goK_%SJ*9-C+)}0VbwayI2w#VlM51bt=D0i4 z1g%q9I+fF;k_OmJw!51CJ@gaP<}}W>DXkj7%sXz^Rm>6`Ey0BZs_q$#>11Zfbw70( z4GQb(L>^~*fOon9))p8;hklt?;5_OpsL9T63cNRX7q!o6I=aU^QONu;0VWGr1WkJS zwWKbXB_~;Si6?dDw4Tm9Y>K@`&`Obh{ zpZX@1zr^9a!k7XX-96AN(>Sge+~^=9VRlIY1ranUgC*90>>Cvl8`m2k)sYdiqOB-> za)UUNV+yN;w~##{mY^jv%d*kji)4i>CUAMQ$<4t}a27l_ zkiE1V3==xNbW3H#($8muhBo3{3WWZ$!?I%HK}9~GAK^U80^22w78{zI5Zv6zgRd~S zy|L=h@{?3J1mL*h0&PfUiqX9**cKZk2s=>-{40-1(I8E+0w(~W7?XCG?9&tt zD_*=_{QbYBY!(_gRGUK%e7H@L9t?(aGwM=p7xktUOJv)j6yV#M`Uo6dn=ZxY=-0Mc z0%ieRYoPFuiUf&>YOdy&&>#fj1V_$q+CA73ey^?u02_XCH zM(lGSqc;C}ZN@YnZ6E2%eSW+n8y+Vt-Q#Q1)9|uGq_1|g6p~&NfNSqbb!%#aBb>)i zDq&kx-?(;`NRk*#(o32%cJg?n+3kER5y4sR>tlK+KmRV+sfs)KT9MQV9PR`Oxa!~& zN3BD1ir#;S6@8DbZVt|%B0nOauq3@+lsu{>=xbEFW2CD4b=ve~)QhW=B=OZ=8gM@6 z7s-s;nxgt9s9jL|RVv|i2sFN^$Z~q3$#kCpL@$c7_=Nq+xFEg-9v!7_fco(tI1v;buY@cTW_d2GDX2$o)Vg0l7|&NRFquoi;~^#kFx@(=egYT@+hj0>biycp5+T!+-j-L{kC zjEM?GI|%A4@($fd0;K~d8hh#h`Q1##s7t%trSEZ&uwgby5H(+ti;rb?7r(A+g)|O4wd87HVB?5j zf}PNZjnBVZ)5`sXArOK@%xQWPka>=s5FC zxe>(J!epD979hm9rYHUr2PHJ&iY>dgui_nz-Nfg`%7*@V;n z%ZCYpE4ruI{%cMXqT9fWrhOVGbXCF?LdvMiC()iJ58ULarH<10qI;Ul*77c-Mi+uN zTKhCx+u%a#Km}ZPPZyLtpPHfZmZE!_Ex9$Hnju$0Q*=*rTBFo^BQiMbbfGz8Ixq*IP$)PxGU1l!~D)UC}+w z-MxN#QYz-h2}Jkwq*NSK9g6O0t|h5an2a939e0uwqT4JP zeHvm^}pQb4>&O=^t?qgb-dDH;+1If{W zmh32^pQg!qs4hi66*`c*oz+kCsccsqjXOBeklC6X^2HFav)a{wuM~d`-ttuPqg6 zJNfWHb4LE4nkW=;78lzysjud3dIQ%>i@m8ZQYbHH2%T*)0Z5!FmkgX>6iKeKa&=o> zC=7h;Q8UXP*31o^1{H;}bB8F|POs#Yg{juN$J;5KX{UA+dPC@I?~%@DHl0rg+hz53 zi)dB8x}hC3HBvBw^0hr|G%TH$KSaCs2N6yHe~LNai?=gD@S0jVBdwV*)^)hreK16} z4jX)Pqmai+H;<}~`DUHmTO!=R(b0)yclS9W8&FvlwE4RJXc@R? zZR$#+X_&hMqr90%Oltr^P0xd1G~ZKwlXv_GtDVm{+1B}5rgGYEC_6+IG!uzwFMj;> zUjZRwlja3I8m3UF#YSpuj4}Zv$D=?FjkkOG6yOHe;>&tqMz=SS6OfEIFORMG8%RO% zS^|Z}qBk3`EJ7WtJxH-@a z)1({+;49;HAIpGVr+ML)`(PZ5ZL(VBvq&rE@^w9IC}F-%q1qD_IYRrNf_maQBh-^# z^7$+{vN(%zrmJKd5qk))Z{GYpEm4?WjZVWfcO;p(L;G<{(zbpdD?A%O*8n!sILSf- zq1eE<=}KlIp0!@b#t~QKa~%j}>Y zh)C|RR}Q}&b<0L%d$@E^Y-BSaOFfapZ!d_n#V*c@v#|nrhuq3E9SSu^v&Z=B3t}Cf z%Xax{HCnoDXFBEaXDlcPZmoBWi1cuX_EJr?rg98 zRwIL$_h2yjx)tOXt``Uu7|Vz4I-%VrF9H$G~4;9%)E2YUVKp3v;jMLHb6R!{031v*xVO_}3oh0lk=raIC zgVWgP#igCRaJ@-7ccf98c{nhyEvdH*0dq7-*kINO1$Z%E&R~)(803e8({jfEJ#B`* z$#_6W$s5hZzxXQnXPGpnTRJBTW(Q(}c)m>pw^myDX? z{^t8+gCNkQ%h1_xy&m&2m|#6twv4f>Qxu~B=Q{H}6^{cTUQ9NcI-88FX2*b7jORny zmNUDzh+Fu^sW@9;$G6Fgf~~}naX;D#4?evh(8I_|5qn$a+2gBy@52kiLcN**PBo@Y z3)`qebviBfV{Zq$162eLBhutZ%NkA{aLzi+AEabizGH0~f1ntki-t~wj*e5)dhloBN(3Q3no<)91_4i!A~%(ym2f^X(UQ~8^! zG5#RzB(8wEZ4fI7_d60uMgnFUCUcX@gnu7nn#NyEt-&yaWxlBzb<8Mglo1vG+*1>? znBe3$WfF4KP5~7mpA0pLQh;N&c|Nsa=qWFa=k%Whh?Q}gRx*usCI97@W8vTBWUwYt@$ovVhP&SGp(gEtZf&2^v?9x$8mBU7c|VP;ps}~ z&7R#gA9HTLbGv-U(7-XPys=U(k6!n70*74RSG`78&1b46E@boR6&Wo%1kIhBS}gnf zfbs}OH;{+}kYH4a@xjgDTU7`1)_DhuT}Im_nKZeO+3vlw_}gF6R(98`I=8$2%O-;p zBE-Zy?DE}2JmB4e=2suFGkhKCECEuzybW+c1rC}JIMGWN05Kpy;Mc%Y0_3XYI{-AH z?Um!J008D}XM_llf?KWyuNd`(sWE3>gP(JJgXq1$PA=7D_|;tJh2RVPozy zpp4kSW1yM`>_7z&1i(?bxP-F7!t*!3taF$42qU;P;X3M04@pQrIAREI#5RrL&sb1D zXioxgJE0E(te`!W@R&TpHE%>G$L9kDoJ>$rXt7Zz8=gCs(H%j!w_w3Em(GA6gSNNE zweJk+I+l~7j1P}+ps`ekJsodGz-8jIp;Yd5wM=&+tT|lq`E1Gs3uga_$x&Pxq@q<( zXJm*WOh8e#D~Z8GVt4A}a$+*unBY_$GIdNDvxhGONq^Za`Z{`12i}b0a2j}tCLV_k z0H%ZD_!U{wvbjx)l)6O;vTFKjpCY>2IK23SHDael699~$YXBjgFaseTgguo6b2mvt zQ#keil5JACr75a>*h`*BXxJ{)+#r)u#X@1hruTf~zQ$L)#DVoIXA>h=|EncaYauMC zqZIo9G+T%Rf7nU-^PC*=n!T6EW}z7vp6G`&8IH7it$+oylC+8XS91CpWL2*vcnU{BkE|qvvJ6=;L^SfaCG^qK-?Zp zqO?2;6~=yy*F|o~^pLM#d~%Y-;vfHpp7%9T93rf0+HA9<$_MHaTxh~IOmhp1IRt3? z97SjmY60q)Qk@n@q~Etymm`!+%z(%fpyWligwUZF#)*LjyJ{!v&=VNPtBWl9DknFFc)Irwgu7(XZ ztqq$XtNb33cr+_9u20@%v{0@jSjhA~01Sx<^A;9d{O0-yhhNQ<*5o={E!yX7He^4@ z6{24G?&OfOj z-ApM{1?$~vCCdY|$-TCn7^>Aa=apE3*cX@2s1TS*;&G)WzrSa27^ngd+7|H^$aKfu znbsCs1(cVkZoYoju~b}Q<(HZL3YP~S<(k!w>j38oU{p6ut#6VK7-5DPkd3r*4sZ80kVVsvd9F0~K-;uw0es88!U*+2=)&DCSP9ee}`&k8VGA}$nrhJxt ztoQLgXJoEblF~RT7!169J;{WT@oCT4$LBHl?4+QLQ;&~IvuIuy)Ynh#7)$id? z66%A6&QrzabDq%Uql$dFS;o}N5axEm{_EGSu4GMh&uRL=j`wiDH5zs3 zGi}xy@F9bdjQB`KKbAR&@741v!RD~+eo5AdoUUU1MghPTG4*61au{29MyqY6`l-nV z+rD*tKu>?C_dNo4FMPLvjhE0jn6cCN#rF*C{-ccg4luz3XQ|Kj1cK5`69JX3AKJoS z!i|DVCXyzF?*dLAM|7sJ0N!i*@Dc(H>(cT=k_O5vTKb9vVZkPj?+}k9Y#`Vz;o%wp z(%-$c-dO;nyeo*k^ljkp0_o1P!CvHWQ3C2Xu7lIhOwwMMhM`RvS(Xzp_Kz3hOb{1j zuCoN%Gfu|i=QK~yj=BajxaBy^!n@?dLkAf9z)W^fghngx16JjLz*_+Sl0x8U69|wh zIRIw%Fe>O@+h^|y4$TJ4xfg)7z-P&(aNrQ+0m$64p%N3yh=7K=!s-~1Qc(z#zBEN> z;pQGeXnfetaH%=NqB1Z()x~F^R=^+!4iLk^8S3+qIrYx82Cy409f9QwxILi6QwwrA zeA^cuin@{|ttc)3xeb_bI|THftH`*QE&^NN1mi+;4Wu5V0`V6p;rMn5bXS+edvL_S zi8s|twve)5K(GQuldPUX+XtDsi6W%2#MtOQ)q3FLWol@Plx?9oXpKPLo=eFEbdIm6 zu>#;S^PLBdNfJia1;G`#DC{LQ5Fb|~gbn>9it9?^x;su8N`KiDOW>_=5pl-SB_TY&{Ga0<&aPg?-U9y9i#&^0RmL3EEcWRm@%Kdpq^F;v(W!ak?rUo z(3Uxi4PxJS&1ZI@|KH(%`D1+NE$)*84P#9I60hw>nAr%%Xa0hw9~Na5`v09qqWTbD z1&dNWn5qmH{QnhkRpW>?X|&YgMX9#!P^ZIo6Ojs9}Oy&NH-V&K%!$JgdhR6f}uObVm(6O(=XPFbCv7 zPQOx9HW^p31JR7K?9+ucR5(i!0X8v%od^%7}_BPx>l3?s&m3^j} zsBBZHKIJ(}cf}K7a1q3tSMX$#oet8Z6@avQ zbyaL*YTUb)Yxz@_Fl*dx2W6t(=<7bhj!41M_JSFnu(94XU0LtlAwFOeoucMR8MACn zho{^PUCRo5nl9dN|F1s@c>St(^C%-Q#d4kBtHrnBU|ez>q(yTOSjl>mg88TlNA1DB zd@8`v!sL#d+9|)7H9JN|qO69mk!1x-D;zQon%;%xfWK~$uW)_UljbRDfhyV3qm^Ke zbE?!5@h<$a+ZqBnq9>jo(C2F#x=axOO2-j9cdB^+|Zn5 zCbPyfbn_=4MQeRo%ITGbxis6;dcOGIU-^=*{JY!l%aIl)Z4z)XzVs)d2oCrML!Mn>Fafr5L{EmgR`*l}EYhZ)jZdyHcCg5MXUJu-nw9bW~+wOK3 z?p-PS9t4vjHNFhJ%lPipBjEkM8%)A1{Bc?O#{`{|MRT6ehHnf5P;7Htn*Z`QuC4%0 zr`Ni6MLfi$qqV{f7wVXX(O(-q6uWQGg#@`lDU z3PTe^WVp}RBPTXaC2iO%c9Fv#>e+H=Nxo+slCs3HCOr;7oBSxWhKgbh2nC(3&5M9=e2$zQ|i|$Pw)XrszCvVVb=CKXYUW1a*jv2rOK`gCTau7<{?*c=pPtm zyrtwgf`@}STq5uJJRUnqE(S*`=qVqK--PJSl|+Ra=q4!Qq{v4NzlkpBbeD@gWB~WiRXK|X4D0~-GO8&Cj*+k zT~$eNC45-N1r8F_G3z0Io{-5mS4(zDzm%tL;~E6F9Jf!?cZRJSsh+GLYFrx`($uVj zkSGTP-p|&~Q9050NH(}lVE>3-m!^JBElz5s8M3U-Dd`Z54y;|AJ%g}~h7uX+Pt_+I zviO=hQ=XzX_8X9o)-coGV-Qp0!T<2U1J-=z!e>2=c8~UwHWN$0X9@iT{EG7(HYQcZ z&m-d*E@x=^!)#|M{oy>2j0e?LcR+YPU(U;9_|YAlow68K>8uhf+96_op#S0NnE^+a zBRUO@P2hS`I!i2}P0$FP;w_KIEIt9Lc&?);o0|+v+Ww?*EKtckT0t|Fuk!Wz1{Tyl zV^?JQoL=QyH98nzMs=TWl)XzTobx?%ZCVIuN>CKh?-|-Mn=OXgN*od}7N|aif^Y=Y zo)*}*EP=gzdI{9NsH`8(dOmD4QNCs7mi6?^)h;guZa8%k?B>=*epFo!^)LI)!9Bd4 zuE+?fqy)~oDiiaea3`?9$aPF(hBbez!~Z6&=Gt9P`^JfNT}3+q`oE0UarQmQ7+|2@ z)^W)mQj8OsRDAX()Y%%YnBu*0t>|N@Y&8PG@cThVI8jql*e~!peon%p>SmD`J8EWX zYqBI@8}G1nrm1K5;?IgoBzyju{>*t>U9SNZ0n@U6p#9lF#I=#vr=)=U9Z97AgFn|f zyz%5IY5pVwZUr93{KX&9AMzBR0GXUsNtKJcZ^)CRwIk-xf?E9I(_j4YFTeeZ9~!^- z;V*vti=Y4UyTAMvz4{CB@`tZ}@73=bufF~2TQ7e?f4%(l<)0X@zWMSeufFx_U%&j> z%OB9&@{5no<%9g9?a#ki>Uw|i z9}=1kbj{1A>gA~J<*@Q)ul7k>dlEBS{ZD`S(NqC1KQ*qYuAkoYwSX6w_3*{-PZgox z$;A%ti6#Bpse@J#dIk6HK}Xn;NLp285N>NoJ=H`# zZ?7DZ`@Zq=2kJkcb*h@`No(o8ub=y*P^!sV-P|j!tktVwk2%y$pD8~7)Ut4)hWjgTu>Jf`&)H=@x4Tx zI)%kat1mnb)z!Vx+DZn>s^V5zC#|gbVWO*F{>~*`z4~aXEA{RXT}42CoGMGbhPId* zqElBp>bkD=aItG4guT_2;KMUDy5 zU8_S2usbbqlchlN5eRBfH(8P8PYTS}Y^~E?ODGO%{DlaY?ijN@`1jMLxd2tB2I*$Z zA7+O)j=MMoRTld%;^1Ys&(n;oi0+iq?TN7#flnsC8WYU7qB4iWCRO&18oSyVn>by= zl781vb}EbtcBO$EpWMQedVF@t((OeM2uE<7J+lu}uRtgt*-VlQ7+Me$AYbhh7h$)nEI5RD0T9vo)yVJT?IV3cIN()BCvF6h4= zjY!%Sa3~sLI?>WpA%H#%n!#w#U}wZyVNa~L2yt-?!+)Q!+fT0OT2?8%|H_JqD~fyt zTdS=&%h$1(w3)6RCTEf?++T#22*fsrk3QK9XRyF91lE>DNeV{;hIu~ZIC1OCQ#=a8 zuGJk_+Pyr2MQDSs1;Lka;U9F)VS#7**`3Vbtzl@1CM1Rnps$*Oi;P~H#DL)Mbyyaw z1Iku$RwmhgPUEd`vy*O`i;yp>cMJ~?s#}~eJ~pHpmlDJ8iLn;Ay>@tXl736@(x5O# zD(}xYAMNydNu1R$ma_mftE&lm;4q^O_%IAIz9-$nDS?fQRV-_u6O1KuTvvOS$zt6F z5Eo5PAgI6D8l>>h;cdfoY>oQydn28)n&Gl#tO^`-6_w6)P#JH*!DYTU)HJ)}Y@+GZ zGJB9ozbW53zo3_&Px)~KT6v5m_R+c#=n2O$w9#gFyi`8OqJEn^HSC4k%QK`rfe$M< z7?b)ytT>uz7Tm^<^{1!R@!VXfA~S2b0HB~{3a!VA*@qZlsflXZOFf_`o#Ncwva%?1 z@lU^g8Tw;{`KeJqOrv+lu=K?-!O?#yOa`DMxeBeay3grPKF6oJUz_%gI>22xqx9c=bqc7EkrXAB7r9Q}Q5{bam z=&DNCD7k;5fjQyNJ=+$RRz?)36)R#=1Jlt$?1edQkpaS?g6MW(UGk&ZP-?ZgGhv-45dAj;hxD1xTFo0-i1T;s0{fkl2uy@TT3`6#$6&a_8z*n z!W)eY>LO@iwqq<645cd?kjtq;t)LO(Av)v{U7!?j^cd;VY0~=(Ype$b303gm7h1w? zQU?p$oXwqCEKFMDn(;oAV7BEC7k|cZLI}cRwqAbZSWWe}nqltqV)&bSp$K$IGB5zz ze>XCMn_s@!2(UR;iGjyq$ipfZ5tr`8$3Sv~o8qR% zmPAY?vXKoM%aTNv z?S-W=1I zFRY$V%P@b9#H|XjKNr;Cv~8nJHBON+tjF*CX%T4hX<=k1o-hE%cC`o5!s)r$iQ_Jh zv*bA!gI8x?m4Xs?aJRhP4VB=(krIMH`QR*j-a%vpQ^U8$1`5C{uBi$T8F$DH7;@Hf zl>2+Ql!*^#gOBOCFjN$fWgK}<$BVMU33}NZ~9q}o{Ehs`kG^L9CP z^Ind$$T4@oqW(J0LfUwKW~OZq_UHZtj18#Ja5JX-=8YQxT-)Ji<;*+ddX#c5A(iS7 z%Z#IAn%$sy^?NUW_Ucz$tkrg*)y%&A0l$54#wT+dKvHbQxm< zjMbppAqHSo7a0fF6m8CG$Msm9npkzPA z;nl0}y!>&$WTj+ufcJFfxaE=H4;_~U#H#BJ^*ZX;py_6)5QwBge8g}x$ogBaewWN< zcmg0go|4ia=RK03yrIe;z5Ge@;)j&-_g?-vsq4pLRh;ERzDEp7UTio*3W;6pQaG2F zf5DHhKB7e5dHE-(A57~LU>pjBVyFZjynABt>fcanQ6ttFwcw9b9#9AAh04IG>Gh9A zLV41A(m+9yl0D-qDM`LyxD%4}6PA>cYQNoO{^~o>C^h=4kDvnngB1S}{i^=tcKGd= zKj)H0J1#1{rUnPn5*}oA;-^v;a01^+DnrQ^+NuPBkoC4ME2!>IUVcKl{U&Kzp47X~ zNcaz4eH$77IrjnT4+t6Kn`zq4#wRkqnR--<3p@8pf%d27_=x`fDY_BWQ2ls94??ff z{RfYKA&Q#IUesrSm9C0$`mCfPepSsT0!k*4pS2?MeU-CBs1Svx-+oS&`BRa?Zam6$ z*S&zkg{sp&^AwkTe?dWQ^;xf=S+0sn8bRs)loh-!>NV-G6<5`ivRr)em8&a#b}H7% z0VhHXtb91o1a?dWF5pXp@xqd5798sbyK}Lr?~DUFLF*eY+QpAMgvJA{nG zKWvR?9hB3>KaQ))+W($D2c0NcOfeADYFK5w!9h+)6uL;MiUnC^n$^U(W38S$w6iFsdCKxahK56kbW_}((beyqDZQ_*d z2~ttCH{PWdi_^7s<5TBnH0~v35HUFq`#WQ2p(sbhN|yV$0{n=`j#*AAaG^zs#cu4Nu#`guyP_pk=D$DJiz_SyXUxD_W}HCPriI9_v!S zExG;6GgZ1SXLW1ZO}+}}tZZ^7V~E4KDb225#eeu4mru>Kz299N_$`x0iNIyRTe9<$ zhJ!T}BlAw)@6|6%j@6}SjwWs)vIEcx%As~HwKbF4X~10(Mz#f-hVmM@l-?Yr_xtYO zOuZf}-!%K82x}<9p3lr?CA7}cg+AG4=vo%gT`^qFsY_4I0>ag-lVEld=9R5#f%Str zPiiobL8b~eN>Ao|M-$ zrh938q=A5Nw!2@L3YSv>Af_A?(z@9CU2>~S?q3{;vrVH3+lDg2ixamuo#@rI1Pf@d z`pieB!^vE&j>m@r=4amJ{A{KV$A=Q!i*>LjGo3yi9|{O(C&UY4%^3l_)K4Y@^Wv0b zT603|N9r*%T`3{nNQnE0I!7xnr}szc!;7QBoVKSuBf+v~3wv>mRa{zQA>Op@FHbE> z1jkn`^iA<}1TQa_z#S*Q+!Fq5L$iReC*ZP0V@|uIH%=YANgMd%)ED}Znpa0%Aeba} zXXc~}T31nW{lu4NByV;`VhLtnLU?IWxzHrxSb}9uRAfIPx!okcJbq@(JC&Y`xA?bj z6RNJAL)=l=^Su)43*Yq}dl>V&Y?3H;1ghozDnD~9GV8$!xE_ZBzJWXfKChtWJ}1Hol#EA7~gtKjzbj>PR};Q@NfK*u4Yf zph+_u?0K(ZTWxH!eW!l{>^13fx#u)ZK&uWb6p8g6c_3O!2Y1i>&^w9RcmTo=nNcFnrgOjImztU+L?89t)>CgPt8>Uan} z?+1dmI+?_tb2zZ$=~YHqVcAH5WZF^t(>z?rlCld+(5 zLR_mcB1)Z|CC~ncIDLVGa)pp;GWubXicMkPx-?f}BFRfETX2$%AAsfBLRr1JQ0sPy z#xjLL>H*HS$!sP>TK34)J=Sc25b;m#750Ev)n9 z7Z#c&vACLJLIb~zGEx^zF;i{x-IIDrb5tjgCaM(ki&53ZDL!+kagz0= z?&^$8m0V*GZpp}a@d*y<)cZ3mZN3&#@;tGTNl`x-8(BY`DZxfQz#XuPqqh@^CZdTy zmI$hQ@qHj9QE|8QTghRcI5mH=IJAt5%Zh~7Zd%FjRMX?)r6Qx(P&eC6E4@~#)33QN zjzEzD3&uJzO1VOCRxXM+tGCmyw%drz)E z4FpUw;1B8$fP3%SI5oI`t@DFWK=WE3!Q+#_+X_b&{QnD8fc|}OAiwwol-6yk^4RpD?IjhiP!93intjKHD5GmCY5u0Ag%ZL?r~2263i}nO zg8s@i54*CFxG%4T!huH3H`1uAX&|kE8qk2dM*1T__-}DN&z?=m;l=l`R;gH4K!_On zqF!ffLEB(`h#06}MEL=0%a@%E85=S=#7I=rNMP@e>DrjR_-TRj0G@c8KX7ZN87xR; zonL^K?7WfQ-Y^I5LgwQZ%^Qj2PGmm06TMD0?VKjXwSKkYjzqGK-ACrTHgkZ=}M9U%R@}JNvf^Q(S=UiOFT;8b0BOT#0t^In7UcPmsxV zic9?NfJ`6K_zTMsiU@9v2oxAE;Ml-H(ng)Q#kR+#XfK>xmB0RBQ= ztl*y52=H40fxscoNqeS(jQnh@av+0q8P>Gd>4gM#Zo zDhHz#RIUU3<@)6vv`f!Vp-pZIa3N%Hs=5auh>itp96zZpR0s*DPM8S?I?{uq84Ad~e4oiGItN`4P#hIyG;^)S(-m;H)dnc!RMzF9Q zp}7TPL|*k%4qK_aH))f)K+9cWs;MMSex8K1mHd?OZG)WTvoD$Apj@c zZ4ScIm_tJk*g28W%G&R4k^EMW--Q0{WSzk`u-8+&X7Ak|wJ8Gx_c4-3Q-+d;KZkJD znZVIx7Pr_h!)~C@@>@|MBKA~#;OYz{_Z_^P4YezWZzEjjArA8+6|A8=ZUg|5IzUha zhD(O%b?~WX4>>xGOcRY;v(DG+CZKNFrUi~~Gva99KFs?-<{`}4?7LwA@45s@VjWuffYp_Wg=1nip zk)F?OICil3gRfj&DZH~I2U;UMp1scyrI?qAnl2hgHx$wFm_Lh|yi$f?U8&F$24z{; zff2BcAZPvdQsh%JZ;wur7jQ;ypO5TXL6g=IdmJ?5YfSH0^F`hqzILntCg zM_AFiuxf6*nqqM%qDfN@`)nziV(zLdrm zH0dL59;gCV=qn2z;kMLIq1P7rX7TCQudcX-5bKQtuBL68H5FL$*)CP+g<3Pl2RPlJ zd7B=hv|gz*a@Q9HrouSoZYH+5OmWf0Qw4Pr2_m3`W+}k&Z57`Ft<0n%09_?Cx^c5{ z&KOnW`oqKBF1=Z}feHqYkb|*Z@FZ}L$zuT8)86#K>G__+e`9;nR$^U>hx4ml$Nvd5z;bdco0RJJdlw2Vb(f^yN^AtmM*C%dh1rZb&7j z8t7kW#@Uu{RbO9B&(xt#ST3oe8+b)FBAeU7Qm%kNNXt>dsA)a1*Ks7H8xT})c}x^} zNfr-68;Vv;AM&+}&Ez(LIiJDJKcNO3$koNOn-LO$elFu6`au~xs3q;P$dean6tK?H zButt1u2_xhoaH(Kp(2MUszGWT?Z#pUmuQ=m1JbE;Q6(8SH7)haMjr07S4Mf>!C0{*nbI1I zK+$XuiaNOrPvdIW5TE1XU3DqrTJkXQ)!`6ABCBfD4~HHH@fuoCmzIqTrM%r&uddkF z906Ipte}Q~_92}a`-5T8Tz0Heb^H@F55D1!R_Dy zI>GTRXv1ADgYI+1yx4qig~2UA`Mo6!8`~UyA2Z`~7Pr#9@RoUH8O-0AN>5*WpC;U5 z-6nACTR=oCfe5%X%}Iilq>Xzk-?YM8pO(lFi;U;AUl++KdGQ~a-0}uCc^e<_thkgAiovw z+|qu-qL#9KyDJPASWzi=Ds*o>*oQuqX=%5g{viS{Qt&P6RkGo&P|nd6lY}iytPQb| z6acUrjye(wuapW-ekAaY4Z|;xK9xYf<@xgBCwE3e2=f9u{ z5B42fALCC<5jP)Dfn<54dd+`A18f^72(Z2Q31(tIctk*Rng4`mL9IVcaJGR%So;C5 zoHY2OJuznnJL(W-^fIj zz!TLXE4zw*d1>DW;2>o~(qwl=Xouo#Gm3LCKxI~h(T+2rO*YLLSuMV_54tLc6xU~s z(#Y6j&gbIk+T6b3F$MR#;!S&Hlh8%xZ@!y0oKkP(?+)4q5?_467}# z_C!OlC*s6tf3g$~GvM&n#`G458p&{Ylc%H&5Cvy<^cPw0$}B`Gk7jh0iV51yU=e7< zmwf?8Quczv>W!%sOEG;G&;o)3mRlM+pnpP)APfvrRgq$gvySx58W+T*`2tGEj2{Xh z2N9Mh9rHY8S5uSvAV=|3J2I`3Xquvk8LeylnR4`OWzq6FOa@;_-o^@r zfPJ5XYZaU1X%=LT^Mwrms!Fx1*VvbFy)INm7i{{aQbSLq<&ToOz-&WtbYxHdoMV=B zBTjPiM3F~3>VUEKR4pT#XJ`&N#uwAjo>gH1X@KKBPL-LTcfK|O26Ks{42_SA^@>S6 z*(NwoQ-nC8L>0lf%rQ)&BUHNFjLjDf?s6+)q9y9MPVjJPM3}S_ zJV!ab09QTr@1AoxtyHruYy!OpW8r{hCI%cQ)~`0;hX*UB&!!|(2}~HA@jQIV;zl@rj*~$-Q$VQei~|K6P9nBI<%WCo$L1u-g= zA1qMG*pwHV332A24lj3krAL1JoNu(|`yLqpeBq_F+s_U=FW9-N`%hEy7)tZ|uA#sN zaRwd~JLP;}sDRm-q&AEzJstM5q{5`52s@bPfCrx2HBCBct$0sJb zOQ{jc%Do4Ac*}x(DfgLA)$p5$w!CrvF7PT&z|UD5@2bt}CZ#=st^!H>uqG?$QXjNE zGO}o1z#*G%Ccwbl^ZGjZ*cWBW?aFOrYXbx;33sjweJH@h&lEoC3Wm0xWs&3b<4|m5 z5o0v8{lKQ(6;;D$i*8l@|$L#)W)=910#*1z}lt1D{tC~r`i%9>#r za2ino7NCh6DV0IFC~C$iAw_Bpm`k2`yNNK`o?<;jYMEt>~dsqj67~Oh2&&=1_7Y*O947iNnIja1BPgy z1ClW=&VzTYconI7&1@$(g9=!^@`tMYh~+oV)S!ISmccI{I7cli5BBI~cWKEXb(9At z25+bw&uA}D5wbrkeWaaeSCdhKkOQ~}-_dtm30(WxDx+Z*L8B;=&x(5S@fOF}<-?1Q zPxL2l2LYoHm9)%1?9U)^*fHM$ZAVs`kp$O!OjSl3T>NLGBD>AQRCNH~ElD`#Q3N9@xV9~aViAPpU9%%D1aT|_;Owz||%G;Wj@OF*tw0PJZp z;QucE@+((Y@i8g$bxdigXVbRPC zL>j=21l_TSheOJZ$SeduG?<0S430?D2KT7l z&5+P<6nPKqKU%q;a~O62q#K)M;Nm0<0}&sN32mhU9DioGd-0q6t$FK$BvCgd5T`VxuK+eDek#7mI^M`g)#*T6%=L$0ogUw0zhqa z!JzExzYSB#Z7%f-GHQxb+%NG&bi3=I^7+ECaBRmU*f-eo^v%*?KpEyBHVlWg`=pntTo{IqH|W$HCXFlo6%@wk_9l8d+51EltnUI#Z?p$yXcil4zGF-Mvify`V}>TPgle)q8=i32=B*zXhZ|ungLGwFhmNt|-VCvIgzE`12NUCv z%T%fx(UR&)YgI(%lJH2HqlJYwgxO0Q!c5y|X=+-H4GG&dEg9UuWd;u!(M7gshIK*DZ)T^VIeT`5$OA88ARZSKYdMs${ zQDf2|M}NYc+|d)xRJkc#psH+!TxG{)sZG1XQD$jk4yzJed9W9!pshkt>6%WpXIUQQh%kDu$+ zix$)RZxrld za3g%*x}}BEv2ST+3Y^=3Z%A*Ki$h#JmaXSdl0bN#AKoIK*bXTFz_r|4vr9UY<&AKI zC9Yb9M?GmtdAoMtShu(^_B<-Z0$2DNzOKBSe}HTq+YWERkLy~rBzr*++y;~MvxTrJ z1!m#UGH-#w=D179Gd<6`bry<|tjZtPK(O?nbCZS^R&B@gJgN?@LymvzF8&WhX4cDB zCJX=-1QnS3u>lpP<0(uPfFKnB5&!@niwFP!000021Ju1sj3jxQC$wGF?6N}K*b5ho z64UOk4$lnt$X8@fuawWKn#s({&B*GiQda}!?iTKrVQ%JakBE#!0SAN-0wkn8tXNH%tl~QP;$if~Q~2MgIF0H}5}g)By@<0c+Q#*A6Q#NQTEgGa=w*@Dn`jkZ z9z>T(T#lk~a%+9-AR2As%V;(`h-SyL z*d%2VjaH-Rm(i+>FQPbKMWYM+^CHdZ`)XN~)V$|u9%s?IfdACcvP-{FkD_Vxcyu6T zK7t}PSWlhATl%V^!XLx$@dY%~{7%&@%J@T?MO0f^VSO*ss>b1XOi$7{k9Jvn2@j!$ zf?r%gZ7GZdHELNjd0k5(}t(`1$8Ws<@ejE^Rx$w5>l@FooUDq38^ z=i6<}ZGnI8k~*!^BFBcjinr}~sf(t};Xw{{RhRb0>edY;*wnMAsm4hgGzk}V2rNgYL_isht<|%EA zElgcgCb$M4n#W&U{g1S;paC%PFqT;U+YJs(XfB__xHMTDeUm2|sA=#WJQIV^wgRov2OgUF*{b3Vf2Nq{|BrHv}yQ0Ej*cDQ=S{QFP(mDLW zTMBTBMq6AC<`kVjh~izDW_U*6o`H=_=d9i})MH+{X`W*fS7myhl%YQG6FRdlid=Oo zIl!^0pdUQDSpicHD;3X6Sc$47Sp&;F+BQ|Cy0nBjuFD2@Qs0Q-;R-7fW~(`kmo+St z5}v~`&1)1YrR^oHU&iGDlz@8>PO?QxKfjuL5+{RF<`khZ9Io*RLz{-IM=6!a# zqfW_B=6xta4LUV4$yaF|k9Yzrnmzcr+7!E;IrC#$iBHoC?`POkut{o|SeQcl2!p*A z^RK#!I}eX!v20fLITrFY)Cao@*V-n5o|Jr9nL&!r<1~vGuqvUeU!`j}#FJB4ue4s? znsFVEF5!T|(H!M!>+IkZ!I8Qh6+3meKjQL0zNjzZ{EurmqM@bFVR23CV)_Vfm+|wr zkK`br!k}hqB<_*C$fvPggc|RwKlvONDoZSC&Q6=mET|YK{48Nv~Dd+1l(+k23}aKnrvFe&FM%92YT&LZKEoB2a}pyig*C> zP>nJb7cHg2j8mQEc@kwwOxM7N1e&AkJ3IuLZ*&*`qeRY}wr`9B;%@@zIA7grPjOog z)Y014vj(Oap5rXR+@gfFENWQ)D>c7x`m1?$x(Sm6^}`8M7FjZ`a56V22BNgQNU*a| z4J;{DfUa?gV_l9W5gjLdG`dF^fdd1_5{SZBIIYLvYVm~~6mewXjHvo$Q=)*ZJi-kL|9e*nI4PfZp&^!v@m7_$ut{cF(SWkzf{K(S<}DUD^3)4f+R9|j zGqg&obe+o+)viT+nwdK43sBBT^?@GO(oPUGD(5J`My{c;6$wSKQFM!B`SZDtV|IY@ zfit7n5xT`iSxMSu*Lad}1=lI?7j!1@P@rC%uHcBT)hO}Cz%$>OX==qOX(Rp-Bnt!P zk(2>%Nz^d5@N?C=CQm^uk~O5S8htpSG>SbeYLw-n0y7hLVB6inGYEI|tN0Z+c$-!g z$*6H1!}|XFbTh3|+!0F>2fh};NhEo?oIo^KW0PdwUZ7anOaZAdwy{oU4$TKA@0neh4wB(_=) z&(YC*NPX(inv@ns!{sVa2kKw#OZ#J#Dx)t*~8I#e|~)Z?pY z12s-pMsFK`_4MtpCVF_s=W*5~)x#*H!|gu49W?YPtzAyxSev4`EgHXmy>ANwTI5^W z};eVuz`Kq2HlXDQ<2hh`W|)?o7zW+$vQJ&3Ng=AiI(t z++Uz=fess>%^86MtnG~AvhhZGHV4tOgfj=E`#Ymf8+6dxWe!0RW9b?+Qf_4lzqAHu z9AUd`<;L`1)xDMj|JLkoa0$%r;)46v{~|89xZY$555p^M;&|Gi%jq@f!`bB)1jk6; z>bh%;N>RampGQf#Q+7{Kqe;wvV!2xIUSAh*4A4^}!K&pTwV|3xCSz56u}g9(mmbg- zQ63SoF5{Uk^19XjpreOmR%OmE;bvN4@9*8gV&9PaO`B)UL-y=>Qa}MGWRBIV`)z4W z!>FlZHc98Vv!bf3!*4vg7~LL`!5ZhcN@{kHRUsdjF%=bPqaR05ZZwH5BGlv$qXYV1 zROjK;yB%wL7ZirNP`ulr5CpsK7e+yfS1?=4#C|u)(ydra+;KUY_l(QY{08H4R+OJ& zTz*IWo!#r{@9f?U`ulE||M}}LTuCJyp`-^_?H)UiZ_sB@i9b=FuhFL}*`{3`GS7am zGkA^Ou!-U}-b?w1Bm(Im7JNawcl<6pBfOWd)lt$X|4ci2^&gY`bCD!xS~N30buWRocHN&F1=) zeB+B#2LACS6(r~nZVU*x-?4c60@O@3NfTGY#;Ry$;8xI+%|EEVd>75{PtkHoRniz& zsTro-=CUH0MLUbfRUNO=hJ2K$f5#I`h~YVcj*yXfPk&JNFG)-JqzmU zudp?48xQz0pNi!big+29XRuoyl}Q|ppT0!r6gmGuvmm7kJsRr-Rm~k}v0}WXVzfj` zX5MC%l26vc5m1M>RKCbspl6{a)f8v1N2t8l+D<--B|DEpf(UMW(7AFY@VA}I8_=Ra zmM$(}Uv5{h0ue?7!(J_#at(FI%BsXJV+XT>W=c|jjdOejI;m2pw>+{pDR6N3>eO&SzDTdMvwEZ}a2(52Eqi!+JxAFwZ`%&-WP1X3d~a=XHKH zS7}CPHMS+^b4gp8#wWWtPpb`Hf_O@0Ni1&sUnP0+p-Hk>u5KuUOI3dUyij*uzsgOY zR?T9Y(m^Kx3~$iLxQxm)8mD=w7#Ha(#d(C)QEd4Za=K|L?O~fPHUN%g^-7=aZ!Rn9 zkK9#mInRU2|W8{F{d}){1VH$9;snLbI=6|C|MHZPu` zh=x5&k{u!!*v4@Nt0g|m;wrWr12W~H@4;b;;!UN>erDcx4Ia+Spwp#->%H0SRp@Je z{YkUyDYHpV22z{e`_`$!6^uL9xQLM|KC4|6eN6x*88i47P3N;)vM<(Fe>1*_I4Fnui82=y~&m> zC1tq>M!K|A@=R`$_C~P_a!V-A(RZ#lwEQU_VDYLnYdcdp{zWBcsSS@l^<4sw%Ck7H zV2t0y9|{mlmuKn-ruyhi7YPIgYWUjkLZ|8D-a6S`opEu=SP_&#aZdCXE>cHZ7M>~J z^=Sh84dl&d`AT%z)2tJc^+-i3JXg2a3&yF8A3c9D;R}auZq4(O=d>K78+n@kpW=0k$j&y;?Bk~KwM~Lyvk{V3{?3i(&0Tc=I zlwM|uOsjYFa?4ips>@EZpTO%_XGm{mA7nJTNOQc^L5UtQum>#~BX-L+B~4j^s|bdP zE~MA=FA0!Q!o$lH#G>dc^S)&~>X3=JM5mwK<#$@9h6^`F966=LSmRCXcheWsw``@V z$f%Q4Q#35-xlLlwS7c3D{w#d|AmR_$)JWzCyp8Y#I#04o9gO4NxLTSM#}{K@T2NIB zspmBrHf<@915>#ES6;Bz?D)=ocyQ-I0L=HuUW)3r6x^7G+UZ4}@rM5fx(;G&ET?pw zpLwP+|EN(V`RD+5&&B6!xNkJv01w?Y`qq?Lj6`NJ4g0&-LZHxkRxt$C4uSuTR7l6( zrf8}dk7}_L6(Xk;I}Q`0$gs}ST7hJBXc+y9NCQ+ZjL^rCXe~@28!ij6^oOKH{?J|Z zVZfpzG(P5F9Q(!$T$E~t`C5buq&s_EfA+=aT%qQY4XbNC=yY9(Zi{z};RzqS*EYrS zEV&#|Vr+nQiRapAMVD2AM|HTK>wwDLmK#Uy1%?2QT2S)NI`@Mx>$h6aG__;*!JNGY zg|%E1uq@V_2>*ab-+c9ALUxMhpV@(;Z%yoB`wDzGc(d7!#A{8pAl{YHOu_U_e4}Gi zwFh8bWT#dfBx9r!z5eo1gkRHr(KSaaIQ-yDfqgQ*Gtqc=iI3%m zvttCW8Q9)Qc^fw=mc_@Px6nql_03qnHL*g`4(HJr-SIP3->j;6bSR`32B=1Lf)7_R zQyL>*?T>~wtGcsmuk6^L)Apo?oxsWNxm^(lTq-`p^nGAdMtc z(6Xt~Nv#n?s+4q_RQ9PXFjc$=E|s4Z4pDRs;9F1(ZfB8mdfI;Vw|J2S4o=HPMwh1r zq&N8Z`QhP%>EUs7@?&#&c)CRK;zhddI;25pUKbRw80Y9M>agPCBN7j?*n{zCLcDy4gp3j?8JQWp88@559jZO#UWBUkl zJDDdJX4(*EAXgABO;z!Y`+4Q zo6-hPRIZ@s6j>1owJUgla>@kb-2jhxuhkr~ur0unG<*uAFZ@HZeq|qF6x) zj6;Ez7?$LS`+uKp#9el!crSyAiWSrwqcIK+NAirTs#uCtr{e)p9QBmc4o#HDUqn>* zZcx8kCUV_Pl5QMzNI&xBoA0CX4->A(81_vqV!!`{wMe^LHHj(f6W3M{%zWWi<+v66 zQc*{tkHTJtp1QOvLxVDS<$5*l)1xkLM_27vf8#ShWQ^6XP>7gqsy1W-%KtBy2?ZFb z4?LHARy1jq!pR>g9CVs5@s%(p3how?9kk_vUF>81(L}2asz$-_mqwH93n0=LpOoj- zB>s8y28iACT-U`4Y#a0qkB z0apogIXQ+OOGB_4*<%Gan&Hf*W#B^Rvm0Uvxn-*8i*$u1;`0=PR;w0|lmfb;FW?)-z{xaSz7mFWw2Lcpq{e995=;n zBA^P>O}Hg1;}tZ6zC5l`Ke(s(SOuacc@qqTQW8bpO`8#MUFxO+ znVRfI^qUuihz&Y<{pih;h-emeWm+-U$DVu;_1*bgfi%m8FwE$rL)%_7e)H`_BspSc zQV3KoJ|aRPvOy0yoVM|MWj!reB6}IXPq#3Q4r)f8s~ES$cN3_l7%LQyhz{+@>N17~ zmCLA}t5Y!s^(i-Tm!qE>XR(BnI*7z4APZx!l4PYNMfE1S$6-d-sm30D`PB!-YNDBb z#O2fl)szOgEC3y*ve~V9bP&yM-HFzl57KTN%WbkPIE+(`;R1oVNb5_F^9q~0 zxFl2Pmyajr=(~F_S}&|Z;bK42W!PoY1Ee)Us|Cm_r|G&;05>aO&`jn0*4-)GV4LXV z(Fs#Gp`wJgNL*GA@pglLnx=p}38ycIP{OxS6;~Pstx*JDCOPwE*-SAutUy*JEeV+u z_!|YQsljwKAd|dLItQE>t60IM6RB9%g;IH=@p+oECHcS7rWs-EvP7Lp+gei<8SMNe z3NrYKy?{v-Hhd%&d50`EtCf4{I}vFqp8TZk0aQQ9Pk7bg2J7=#Ird%8r(^JFs&iGe zXws}^#;lZZbgq+U=#)^5D$Ce2Kb3(qPn>Zvc^|D2mgyfDDXR*-Ho8t%sp&icZQ6uD zD+)Ub)X37a1a|A}98J_&;=lCi8|HT_M0qhpufVk;sVeop<*?X z#%QRKeA|z1RKY(9?#U!yBZiFD@m;!VN`t{_p+#{^8i|J7J|vHD_mJ&UOEz{C0e#58 zjIub@>J7i-8JuiiG#2O`oh)XXElS>AiLKj5OruDPQ!>UWnFt#vxJa}&de%oY9FoQT zl4xH*I*dE1{BWVeV3!6(h!LUK+YyD-jodJhSZ`<6lQ>9uXKP4$Io8Q?lc&G6&DfzX za-gNho@s<5p21>Cdu!E}rX4xj3EAf_;kYLnm(?(VjIq`bVTHE0SkgJyrcWcTBH@F` zSrgkdZ}7&l2d{#~lUvZ_yAKZ!dB4pc&XkthZ3wd?XY8@Fl`XzKNyR>pxC(ZTVt;i= zA8ed||Fb=StZiyC8HR64w1*YZ%Xp0jxGG2kR$?7{pc)Tu`|2OxK7M zti_BFI)I4gi)V}(zowe;i{wkPha-Mhz}8F;MZKc&x;D?(QsS4yrsobj-$;8j8`-(I z)xy&S|AY4LZlgjqz~Oa0x-Mm(wCT$Bn9-~M)OB}zAWQ;}xk@5-g$(~)zHN+Sm_PWK z5Id_VXeCHzE&s0$n`CXYBOH*r%QwT++!i}Tox&F$T&8M8q;QC&y5BDfj{)i!y^;Dr zsr2o*OF^+yG^D7HY><)3nihOHM6Kh8&~-?kRZQ+~_~8MzVA83pev+uUn}q&}hcDfF zGvjTe&Y2-x05jfJcF*UB*kSf6{db@HKu16Hv~Bjm{Qxpin9zA>3yd^dP>WE4R=h@Y zbYNKA)ozi6>Qzm+M7I6dYf%UE3TNi{;&ujtqqY9|7DD&~jrq8!Cn!ytyT}M<(J?NX z2S@ahVgyBQPXlUv+X?a776^!-7u)z7{$1q$E>OqCWt?NcDTXZ{&7B66$%5d+eiPKL zp~}@u?ds);XdGQzXA}Pxv=4;ckMacCIiB5j8iCXnl|KxGcXyg0ueDpj5BeJcYJHK? zC}d~Q!Gp*d6%BULVn};qli6zsY-8li&lTol!Jma=N`$fJm(uIaH->y^V@ zOT$2;f>B^-4f%nwQRR&VEiKA5j5h!1Tctc!MVD~hRmg~0mQL9?611PHIZa_X?et)$ zsm8I(s*=hHE5q1A3)Dy#4Rp;6@ClBpA90=^~t>$fxc>bD62z z@6~>C-oP!W{gk}8h%wl z7hii9k^(&M9FV@l6k)cFcE!rueAIYNvO;B|F~8V(MRv7Dy))Pl{UTpheNAy+?Yc0# zS|qOwHb}iU+#cu6f&0>4hzafZeq|)`PDS9Q%Wz7H znX`9-SqPf7Vh*8*p=bG;U^HyYvH3n%0(WUr*= zy)ZYvM}y|nt8J+SKfoK1qKXjmOfL|jI$sX-(9hyPXE(gP^!g*o8#H6YVi{Ta8p_XZ zK!cAG{s#KFK7>Tjn1YbVcm^R@Cx<55jreb}87XfYUE8i^uN`n?LK3c#V%q|e$oL@rxoAJm zhIG??#>L2B~vG7|LBJI~HXZz9cdKZR15bjRc z{wgqdJ_=rn*HV*21-RopG)4;)GPooi7$u^IHBttD-Z4-jzt=`WkD1!Og(I(LMAKTU z8J*4HsG;$i+=^ZY$u{XUVtQJN{I}#%cHG1zV)v}gxK-gM>XDGb*yG~a(>#M_$L;y; zNwfmp294(9Z%>|z)|?eu`Y|V zgn2?}!*qe3`8}ubeYzpgGL1O*8rIW`tA>;} zd}kGz2#CkeLu%VqS!ivS#NY`zuTJpOkrfb^SMjpQpfS=aMP~waEHc`otsBy+&cO<_ z;!-WUjJ*utk|-`{Z&Jtsp(o7xH%}$rO20F-?pv0V3lzUclC=#w&F~VH#Z5B7$(~R+ z%q<#p7^@#Ip)!rvAb^ToYGwpb^f%uesO8BRQ2ag`d##*^C1jVuJj03^RdV_riaSD8 z=v1N>us)MSm;Yl`4!n~|GDo*K&E&#@IxT>}ISxZb_md8mwTRnP5UiBs26oDnf>f1t z&Z*hi{33nbtmrbe=eN(w@i%^AN0S&9KVu#gy@*nUr6voUPppB@gYioR9Lmc}#9(k4 z;xaeKhT$f&l`=aWoUPL;ubfq`i$|N^xxZXSm`VTqaY1)92)2X_ z4jTCK*4(s*$}aAv&64;v+tR=jtf0GgT1zpAvPL@)9B%nFk%{}V6&v3c1zb-|AQ`1N zWeSr&vkhNicug?9R9r8Y@_e>e%21R>=sAoU0(~c~)S*t~If*W}`O0XSUmU2CE3{aM z8!Jc4_HeE169=8I%|DV}>m+N@R+S;R1%6KDt|PK0#I|8t=Zy9=-6BRd*(! z$*3<46Wu2gx}&3CmzS+ggDIDy-KNA0udWw|cC3?DNg;P<$B3XlzBB8}oaBuFJx^AC zx+Fg!$5{Pa1EPCfP6P%TBj~}|C6@86D&w^&g9-Wu&*X*a#!h!*ib_Yex<)gCqcM%X!(u+JB{*QE!ux%Ei@vst z`?!{&F(a+EAK#|8T##ywVu|H5fVgOdu0x@$&Fm=A|id zVyd?Ghqc*W7ll_ANd=2nU<>jK3^c)c>(jR3>TmvpX-i0BD}ve^6B|~BPcDF`TEe(4 zN->SRZU^Y==Mh4u8_Rd9Q{uGK-SdI`>e@Mqu9?r?NhhR&!1d}ArzF%FGNfs1zh?y51UI*sAM?)xqbjU&uD*@AB8^svc zah+l^ON71 zAYZ>E2oR3>R%GDp_8p4KipKYD-Ho=}3AC@_6TX2tt;!vDSw7Qumr5uRBz zJ3J;9D~)9t^rH6wKzqS12R-mZDSp4Y!`M#;cj@C>`s!BibkwdN_rpFrkt}^x%PSo< ztEWA9m0#_H?G*oUPuza7lXL+=@OA)cZto<8N^w9bxILf#bbxZDhn3wYcp4_@EmZsu z=>Z-}K-UyDsjN=XMMq4Bl<{uEYa$wmsObC>%!J70)n3nH_r#CwQmw1ocy5(bIc;@lGy4fMO)!ys%lD)&rZHEHHwYdByl}_# z7I34M^%iXSW%^rZ@y!etbfZ=dR-osyqmiAA_uR4r8HWR_CXHYTFDOF-(G?SZUoAEG z*EQD~zkY3oRt19CgWmtI4RSjgTg|O8 z3|UkV&G+JX&PTk9ry`D7OsL2X%5b{5Y<1j^cjZMt--oce1)!a(pD>6^#Kjs4>IxIm zomz#<_Z|!L&Xy8_m~tK?zyDYN%;#;A@rqMoi6;UO8`dxJQN`e+t?_lATtIqFj^R*2_NTN=al{$Iwwr z(cdriJAYNNHXp!x^fyvip;hMgULq;EwY`{i$AV0av5BSkkPP%YV1uf;a2G#d3&zze;#r| zx%3usr&B5bDe0tFJK(Hm%w%RI%j-~fx+v>*NuF1i*?F9&adh0pTGzUMRMZ+F*OEJ#OWk)d4Hm zUQvrJ^s?J{J%2s?$DA+2WU>{x%S^pG@FZjwv@kQytQmYG67?*|4-lw{#s=jMEN?_*@|i=K3(`daoRjCvC1 z@hS}@j50VAozG<7Tv6B0O45~^&YWo=A3$SZQ^U&U^B;CVuAz*bHa}xGlsCGwa&^#~ zE?8edk0>9N%QL)iC31A7^K)U4`!>#%2%2TdI>;b77`o#MTssi%OEu{>sI=`0p&B%B?dj79b9k{o)4QH# zhe+j)D^?L(;J4055%p2f>&JLoDe34EF^zcQjiMi$`QhwNbTma7X9`l7JfSZFoSyhI zQU_JRFuef6Y+V-YF@HngG`Ds1&|ESz-JUP$!OUs}ih=ei!UHEi(!Jit!mg;-w*s|f z(!#N1QpNJ*r)3P9<@_5qp zh^fpoT3gRoa-0wM?ow)+oH)$<(`e3GM z#@2C3&I?`DjOunRdMMO?sa~v-wd9a7xlH+6JF>`4aI3&~6=NTKCOpxzXh_h4jS7Rb zuc;(B!5$gAb>E&ukLZQIcD=M9B@{ubLz_AYG?Vq3+?f$9@Jq_ZQ%5@MPHWWWt#%3g z<)enJg#{T-M5^B&%0>G0zypbxtQhww7b&fft3UmW3AJIo>|4=rO(rW^XZj5S_M*9- zP9a1?GO7XH0~tXbFx7KYb|A7WB0)uNTW?BYQ;5`A@`gn{Lu%{10Zjq1L$Ws@;K;eA zavX~+8jqSBR5DTgh_B_nT$xh}#q@6ec@KKghx|%^~)_PzRJmSA!rZ6hxHikFI84bUoCB2HJbyMHAoEY|p}GcWT#$&!uDR&rFj?jP)dquO zC7f~j`pK5}PpJILj;!ER%Fud;#&qA>pm@i%W>7|`Ta z^o)gn>VzQ;(QTM=ciN@$7Jb9p`#zBRhGH%7+U=JBDBpY257oo%wvUH|)rd#pGN-44wiVg|cF3(PN6gQUsDX$td`^M^RVB@<5M`%>c=*}Y_KPGrTvCGU zt#%EHL8l#1MK<=it$Ijxi^iX>M9wLhX%K#}NE~!4JGmLB~uOMXkk7&7Op^qlw}Nt5mu#1sZM$Xst+4DGnTdT@uC;JSvN_Q zxXsXl!)xyaza>H@>{f1l1odVFbKuldpkkum%!)FE%N$CD|H4ca(H2urCYVzY&XILd z)y0i5CC;g8z&T^%05<+myfQ;SZ15sM+V!YFr7A7sU|t@B?NNwa8>JHj z1O*)CC>J!Ey1+;oHckcC?mtTQ!n~klfKC{wg^+f|BPD3rT5*m$F&wa=%61?VdzPKn zcAEFF0Ol?>#UK)v$p`G#9ill=kGs-2{?rp0!l?(8MC*i!xUzeo3YOsMvd5tCGSM-S zrf}A`{oF5cQ*S7PP3Sha+t5@xW@N1RDkg3C; z=>2Z}V-K?lv~xfy2}C45qGT&G&`IDtWxL7CfsCRKR!c*1gkq~yxh{1;ij|OZgOB0PZ-_E&upw39M47#1x0`#djH9ixuajpK5AucN8kLbm34cel z6Q%*L1LN(u7QILU0<%*YeyyG11-gRJSJbB4R&%eOu%8caHp}MU;_}g6IQ8bhq;gPt zj2RXyT)ndvmDdTq@d)3rLX7DwO;?uqswxzk6gw&E%sXcPK-ctI;~Dy@($rg=3!dsp z-PNbLS!VkHBibFG{VqB_3w3<uM=|Kqdn97Oq2)ADaqOpb%Ih)BAbKPHNPR*j6Nrxch17BHpH zF)3ROdu)YN54f*dJqy-2_iNOowx6cTtN*A)k@Do4^eAx`#?6WS%N!FjrFa z^T%s8DNheNqT^GtO1T`lT~tcujh0M7BuHH;COqkYS(LPyxo+xujUM|0P$QrR`K2b! zDNikoP%Sa)(s#-L7Rft0+Nw>Oy^PCUBAAa2X8oGz-O|C)q`d%&=}X=nN@b?={^^W= z9zjawX9$#RoBCyL`hg&?!l-G>w(n{DloYqJE&b~n~f%e zxtyycM3-yaXGHH?iy1g*e^6K#as!!nsfQKO!R6vZ8taTMlL2uOeNgvcwIDhcGu2`w z%{@}&|BKIh!u|VweK(5wx3S^8$Bgr2S9|axJExgu1Gr&6Gvod14Q`V(Su6nixxKAI z79a{#c4~@H@YQ1woZ_sA9@EQCb6P=GL^{z~QcuU6lDJuXm8@V#c=RXMgBA<3+t@Cw z_7k0Zh$i2SURS8C4mZ-Vg=P0p!rchrQ062{zW?Rtwjt_GN0=a7QBzIafB`Ve7FUi5 zyLuHcBDIMU-yvDmWzcIRk5sB9yBulHubL#QW7wz9-~__6<#ZN%4Lavn6#e+C0EM?I z6tf2?1!RwsEoZVFH;BwETL}?Vsy{#RFr02_XUyDh+V{s+bkR#}A?Ba($_S2)KOx&i z;g-x4~2{~~Q5J04Oy2DITMj~+E} zp@PbR|C|c&y(*T=qzp$&`WJm{zK2T|E*Nu3m>2`A5}W@+K2UP3GOAPPp&TtS${83$ zjMD(8IdKAU8OSC?gkuzetbze3O)Rc%454HKK}kHush~yKup<(?+wH!0?WQ9>VT$RO zQ*^@+37$%O@-eM{2Ldwr%DD+{pn=tTdGFfIzJzVIHltmmX{G*%_AcWc9u;l(6yA99 zFbsZfFSm2#H=0IXk*j3a)R&7qc9ZG`Z!?%#%{(6B%6gVXoxaV^i6VSC4 zYoiN}(c(1=lc+(H2=-6>BlZ>c*P0lFFODJX414cm({?a!^ef8Dg3M`gV0ZboHFi1O zM#77I8_t>?CShA{;s!%Z?j0U3mvAcOnykKpqilYRYLW&#a1PQuIzfgxaxTFOFXKxZ zawM??MG;m7(UA$&Ed7YodRFpO^NYmT7b++}h`ub^_XZ=g&o3 zul|!jHm#mSTEmIibrdKI=t^P_2MiA7yxBL+`w|ZB4+-0*TWQ|=LjybMxg@<8=Fg(5 zDVWtu9pO4(m&(gEP;FN>cN;G6*nB`gYs%}TZ|8)tP!LyU!L^RiLcu75o9AucCyLO{ z;f}(WwrKB>%e^P4@c+;`1FvPH5Gz&>SDQ}3Wki3M-XfAre~!7#6A~`Oht(>=QpdRe z!)1YXUxy3BC)X`)RVEjnVpGN!xh`{$B4F^gslYw=&~fbsYFD=@p@XhN>(98a2Do=x z6C5tc&d_KV21n;ISzV(z<8vSX!GuqDXuhF>)QQB4Ruuw_l0eAW;o)B1_W$`OUD={7 zY+wljUR({Pxc^kR%$A8c$m!+&>XUoDX)3}hjGtVVc#SOuMK;-wFRIPnLnvSTXUd|v zLA(v;o`Qj?H(iG?55YCEF^%9dA9W(k_?{obKX7{gR|$@Dx@2x()wv*!;`!Gn(W4Am z+@q7TR7li`VQ(hTGvRhjawdJSEmOUfbTYj#zGqS1Pw9C~Z|Wp^>_6sg>+EY5t3 zU8^kn)t+|kQ&dkOzlcWDk;U8z+8#4(i}erFeh!qb^H6t}PXu#uu%4^sPp*$*geA60 z8#*RpPW0uC3P0~Ordhs7Rg`7yTgJP1X^E6A>Wm~dd7Sn4x&a+XLHtN(e{qu784!i; zm(E+~v}=f!tmpHqikaXD1u!PV?WBF0e0%HUmLLUur|3z7mMS*+4gmfc_NG&-jE^X_ zM}R%n<`?IJ$1~6>$#8QtF=z^vuJ|J|v$Q#QT0B-Z03rY4IpSBvi| zzkcc#3l+dh&`9#K;IOp_!4zvn3n}bH=&8bx)}2H3jt(ii%e{MD*~FIc>2f%Jt?*+KNKj7+K=<>k~}5>f|NH$V|{m`wF~U_W#` zrMjHG@!2{cayI8trohOnzjrTP=+XF3&UhWj78X*YYaTxn0liIxiBjP*4V|KziMVnyfqPQ` zeP73U`axK2J?W2K|1rmtb*b5hNTq4;4Ere3RAS=+FHGcKwlZl1` zajX&+lZe=U_waBwy$3_bY6TTZ2%GNI8-5GC3>-zd+Z0eaGnq&d3X84J4VT4DeJUP$k7 zUD3_{2NwJzP@t^n&vlD88w7zRPI5fhjS1iGabBp>bSwi9B6j zJ6}HA70b=T=#Q}7w+Gt1hD@3fg^9VErGUxI`72#hV2ZtZVHPO&!67^I|411}(lFuh@%5u=}f&r03&`;pBGRXbOK8_W4~4IXoo z)a%YLl#p=iTMLe8&pIcFQn~3lz#O?HwWIWbtz+^t?8*a^nf{BbKT%OmNF%oG3B`=< za6)jM?$=F;zz~!z-H`dS<8VI`mS4q0W+-_~X>+MRB9Z+?g;KrL)jhldYn7?_2YPa=Mg>1Xjd zi@P9|s1A;ehAclxGreweJEzp|TavyEKE|V36=hB3WaKHnsu&&>BcJ<|0W0_Oep{ei znYg-eQzy8QNtqu!{Oj{5hx4T<&+J}%fxgyeu*Sn#8*Uan>+Bg-tS9d>%bH1xNRVrNLqKXo)p0)Kj^=CyP=f1=y500XrMR)j+YVxzZxX_e)Npc2rUSYDd zhK6A-a1|bz8cDeJz;=#!hX}qdU^qltV(^Mwa=H_wjXHLpR zu`!u_KspDCD-}u9#MGk`#B^BI_})smUFwNn#r`HWVVA+8zfwdq8rurz(z;>tXSZ=y zL|)5yJeW`lZ5mwT3;NgZyh8EVlO!z8``>AmSN|7>mvfZ(?Z`WJoX}|~BCWsA({>Q*y^9^@l7b@|`cP{sFlpC~iCIc1-y2bSo-@qpUF*EyH28 z$>GbVuL)xVM_yXTEnoop=k~8~ofQj`4dIgNEx1EsaB$joXzY5mvkFt6c~!7kfSes$BBzBDa59>Z>-}7yDvzw-91fIofUCutC8=++%k2*I2V~EyLWIDu zm*`T}xnPp?9Z3*OVhsc5654sAD&Pd;w6dgKv&K=vt*g?EGSA|>u)Dc( z)>pe~x1XAV_iKk=J)Bedhs3Mi(d?~U2epm+&~WQd*72)<^K(CIWE~{FinwNfFmTCWwu>jz*^mMjz^^%cJ`d{n8~h;6pKBt<(F! zjq9kbRunvoCe7*&W>Q2D;d7>xg?WsHx=ePh8_AApI~*3iS(e+$**z5Lgf-n5za68k z`)A7{LKeKTM%-P5E=;-MLdYCDJ@Vcoq7XW8r37*}%7ei1L=bahQg=gr(OI>P&!X*} zyGJT&n#ja=g-YCQ3}EI#BzbR~wvQCcM%8H$*58l6dM(BvxW!dms3fjtJfIVKss;!5 zl8)U)qu$im`8?44Hg57bI!j{c;U>O_Q)a9|7L|(W(Eqc~LP?(j!Sw2CkAv!TPX?!$ zgIl$2t}DVG%?_6+2zF+2x=s?O?hF;5D4UZNXYb~A`b62BjOpGxx=xFxoUTAKsGUtA zfxKNAojf}zs{-w;9fOIQ9x>FUIJG0~IlrPC7;hO$pJ>JcA$o0jyeHO&e=yn$^7q$2 znh#=REm&Tn-qJKj|JO)jSftfW=^to9nKc%FQhJT{_&O;=)YMJ(r-o4Nd}Ed&={!#d z$sm4^)7W~@2AXzrI@k&I+`)C(9mY=9u+YLf;f0t5#)kVGj)u?^|ZI->A@2wnPP>nO8TFA`YVw7!P6$`)oU>l(}y z$wEN_U2CKn^r{5vv{JY$r{%Nb*)dEO6O5Sdsp-&25-0;-Z3(H4DzUaw;LPt%kB$yU z6EE=g(eyD3vs-CTz?)CXm9ANi@fStD!fWDXx+1X)|6iLo-@vRROZfQ3%M-)YeCKqe z>r!2Od1B9^baU@s&F&rDzdwbWn|EumlRyVJ3#lY_OxtNW#|VBequIUV+2M44e_|np zN+a8~GXAbNb!R#x;in+H2f8*7B=;O9eJbON02wuvM~=5ZHoCou1oS34W``=yz>&Or z4XOxfj6(p&A%4)sLbsX!lFhWtn#w_8%lKGX5}ABOTKx8pzd1lK9GTuGh8mc>a7hiT zrAv9Q&kDG?n;b2wn!@64&XYDz%6`#T5k}&(Uod4GK zWt3LlAtR%7N+;iJ(gHS8NHlrAPx8~@0I+M&Q|anE2#(tl=aA(5gB8l5OCMFf$f8_^ z)Um-ufe_HieuP!F=p2enR&-SZsZBd1nx1^6mlI#K2@+H7B}I=UH+E@Q zcCgLxfQ zVv)M19SDrdhsAW|Ou3}yR!K|;k%&wz4f=AEoemXAj1EVZ%whh7=MHVJk)Wijzz^SVr{U zn}d>X3k#f_R7gI-pfNN6;c~^nLpMou=NK1ATxmM@%7(!zhcG(sV7C-y@JzNBpTm>p zc2C#I1Px2-ps{gjI4zw0u-Eb=g8xvgn)>h{($5Y|tFOkCipFlX(2um}r715uALE!i zXZqkcI!V@WoyFp4COVv>ywCEdj;VVVYR5_!|4k^GV-LT#(1Ny^KuuVuFFAX`ohtCi z>SQqLX#c=R=52AW+V3Mm5ze9?TG%S|Bk9s$T7TeFe7gizYkhfpQRJA*ZuPFIYKPjX&TcNB~QuPG022#Si@t^%E z;W?SE?+)*{DX0Leo>q9MUso_r^k%hLs6QHwq>j9wqp{OLo;)GDuR#%9E3km4$O z62s!HpxL97x6XsNWxAjT6k|(7Ub?lI;0M+U=9WM`!al}yc4yo56|c4k&8|y!h#M8% zHbFS!Ye$;OQ1bv|L*Ym%B`;QM@GQq=Mj2`tyowBdIPOw^} zlQbN6+*48?URD40=RWT$QCo%*b_Nm!4Y916Si#l-A9FI7<7?$kvwP(1@B%(JMYt0Utki&Y4qSeXHuMmk|VyhlK8dK|GB6V#jM{B z5QVp7`dyP;I0s^Hl{yLHK&A5DK($t;L#x)_REJKzL9XF;WBA+dwp>4tp@kLY9py#L zd%3h|z4L8kN1nK}LdvbJ7Ll*Xyoa@Nsg#)aN{LY`P}_?y)f2NAVRJsGZ(o-3_#&ZIhB>UL;-vtR17Q}CjO+flw*a#nS{<7$xTV%VSe9UK`GH> zdvI;fS{?!y3F3YMGt<7m<@e~@H!ti~^qbdko2kHn(Wb6<4{zTdQG)JbSx967!U-|; z^>WjR=2P9(Zw?M32F+qbg%U2u+xUGnpR|b5{rAL8$mwt4n{?Z3sTCImp%d{zKc|h8 zTE3mlkZC?+vM-=a414E4XGCMO-4?>%q0%D5gkc;#TIP`9p5BmU>N4(YT7G@5@iPT2 zfe&aR?C#W9#X6`1D!KHfI9tkDtAr_?PcY#U;@Op3SGk>$n8T;Y@oBB>2nZCvHV1 zw8Fc%xwf~4EjS9vwpg~Zgi`BGLT}QSE;yq2g+M{70EC&P4WzXL^iC5+p=41?pt;3tetN&g3K$n9&34#t>8mJ)! zDo^RRCr`<7k!B(8chJ_B{d*;j=p75isNLRJx?9{0DB!5{!Ta+ahz)snw%tE+9(zSw zmyUjq4SKv5eryhBcUIf@UFw$phU`xm2t=$IMmF?nV@uyx$!^iWmSU^b2iM%kRg7f4 z!rSMtRzwool6o~%=jdSXK++)ucMG=^cX;pHjD)1ix|j^7}vS0*N~ zSR8yt=k3F)8X%~%zJ{g#t>U>+xg@k%Rg2}kZxDFZ4$*GqT(?6J?C5T23TO>=DrT1l zu8YVeO=t;yeWVG-Fx^LoU@Hnv)c-K0p3Ya(!6i_~XG!i+3D`LUQ8~R9fxy%K$OEK$ zmp))b_G5*?R|Xt$A#_FfPv@iPm(jdU96)Xcd^VG3nsi_?)T67v`WYvDZV~W0>_!K+ z|IjhvD-tETapl3%Tz&&9=K2K3puVp+db{&qK0%UaI(JhKcWpaKFT0)e^AflCh(-Uf zdcvxRvad6ZlFO~cd`l*NAzBn=9-rLy66~fW-~HGM(89kvCsk> z5k{i{HsFUn6kJ26!tD6?E|ZTuu~PC4Wz-txQaQcO(cv?v{6G{BT8Z%ZQkG6bjnl&q zmtfPo&46-D1SogtzYkh8C>GU7n(IC8$s+pjIiVNJM8{Tnhpc_T7+<90ihR(bDDmk- z*k|JBWw;h$$i4QRa?fE4Ib>DZO9xNNhO3Rd{guS(4iKvK1PKS^Z%!YXmWIr*3Pd8? z=T8w9Ha6lySFC>FeDJ1xdwsi^cVTYo*b3eA%=CI6p`mwdy+3hvwV{FHw6+}-T2dy_ z<*9`~JT@yN0?QpFq!s0@ZK@WbCQmd6s$^SELV_X>MS*nXZG{!77jaw zHT^Mh3nY_}`Y(lP7^Oq$^PIl(mFcc*l*hK0{!np8>2X>l$#Qd16fhG_o?lXa9`q8z z3AH5uE`bmAvEu%$H>K`8JK^l~!46RjqQ@@PxG~QF-g?opL^MWa#du%+!=DZ(oboVL zvUwjDRgQ-2*G$_Y_Uj-IC}Phg#gP-Uf~wTLSqf)+3S*zXOV-iiAX0V%`#7H;&M<4@ z>_~4{XvwHjP%izd8Yz5#Iy(vzQ^RW6lu05%7v!e)6%Xc=^VE*R!{g|<-dIp~SLxtI zBu52tP41$Vkg6E4z4ea9OBs>FL^#`D<20!8R+G_^9xZ#S#Vv`$cBmq@9O~ic(zZhS((?jUBxBLX8meA2p%zO&j8_#^}*dW1RUwfU?S{xJ$BZuSv83k0ULc z3gtsX`7De)Y0D<|fOXEK2vgQdpk3`JA#A_kL-G_P7~{lDxRbX3c<$Y!Xysr8b)gI~ z`7MYIq*e)Fj|h`mZP2kAR<1pN;j1gV{q>&98(BmS5%nL9^4mVKIG=!GVQljFJWeyr ztF9Qw|7r3plBcW7^R79KNMx+ZE#`;)!qp=ZmlPCf9sk6J@tEhSlf$oUGK$xhLsoh2 z8ArEBHYxE$+N=Z)i?;ZNCH|OwN{reY-&1~e43J}lye@Ah-gSD^g_EbR`9j4As{Kak z0!fj>L!?XT7$Woh|A#|FR^e9e>9Jz560=^uvYC(=+J$l@rib(~-D=pDWpUxL?{_9; z4J9LSl3_ZaGK8o2GL2=thE4KseZE&t;y93z_$FAHZ6{U+#htr11C0W z0UF-D;cad=y5C*ZMwLE9kHUj_7$5W2VrTAv$1v>Hmq8_foR|5?2|kF%M-Lo0j*X5n z6$W7{8XvXKZZfF& zNLAc{jCrfwH%t*lks3ZC#$sbA%8aZ64276IIJ~1APd!K(J2n%+EyP@nG0OI`RMBl_ zWl4agSx)$ao$+2FH~(w)Cw<&rn%&oFS3r6WlmF8ry`S{BAW#SKKS^1+SZmjp+LfQ( z%At;Bhd}zeVw@m7LM^f{Y5G6M!#<@q`44y4?rBDoZ4x$$s5#KfX#=vtD#_q~tXc`3e1X=q)bwsZg`Z79Fe%7mhKnod(hT064+cZlFoPv)BCV*_3`O27y zNO8mVv@H2p+DNRRd~0&FWN*F#R5LQV@$FD8X0yl>t)w(;;U{T>*pr|LVq)sF<>wYf z$oJTi=m-22R`2)GFZEpNiVooMFO9>7%9hOEl$XPm5ls8|X~cAT-4qT(?U7=rx7|&- zz{{b#E%NxI8>7k@Xw5dQDitOXXpKDn=+>xm`dV}K;qwsDkPEXX;CdiF`hXxa!VF>v zQtJ+wr_V4%N)Q`0yt@D?GU2B@jiaNx^+sI^H_EZ&Hk}j0aG>uEQoXE`qFf`cqCO*v z_Hr^(qBByPC^go^05hS7rQxce;TxplF_3bvLxypM67z)f@;DR#AsO4711!t%aNpy^ zF~|F)=MhGoKx!Te%((X8r>B@69EWpZ@#tZqqX_jB6mHU#=K^%@UtvA9r*`Z1l3s&j zmaGi-w|UA>90^AIvdmj>TQ+2HmzZ`}0N8e=;lZ4`D$&t>64|c)Zl5O80r*FT(&_Qh zFszKe*TKu%0mT13Pmg)ksl$w|t7y^<_a9&2iAZ!G@Q*N#>ZCzwl5b{&!QgH0q5i4y z7q_$M*Z4C3_8YjZf3358@=vX9T|_go&>kQ61_M|aQeVq);qlH@Jla{f{c_HK##(p7;wo)+4+{-K>19{Tfka^Q2XqL{bg-FX1LQ$gLN!UG*MyEbY`q;oOHC&sSLcOo0Y>8} z-I|&GD^msy;xGv>d8bo7X(db9TS>Y4$9ff9eXZJ4F?O$5L-YjK={7Dw?Zg<5QIDn0 zDII+aiWpS+hMkxliL}(!oMHYrN=S#(6Yo$5?NWdxQAPIRci$xzp2F=$$dD zTigpgE41nV=1yh5aqVBi zt>jrcD39;tfxaAB$oXqs1YH-vzrq=ANMu-E_FxlKUdl+l8zAyA_BIew%2cuzYd&-& z+OAMoZHOQzDT(W7oi554WSf#7=!0*?32IKhiSEp2_XSFjB{j-Fsts=J`(m9lT>Np9 zt>ZF{6~G?vl%#~!o7&EqMA+*ED))>yEf@`@}U*V#;D-;Bh5EjaVRSSm!PmYxmo-2YU zun-$f4rbf>wc6+bu3A!NCkI;~y?PK$s4+i%<+$LiR{pZ<0H;=INn!Cl`JdD)_)`cw zxNlV$%#k=1@h?~|LzS$=w+8!!rxRuVFyKuAIE^U3LQ!7AL>otHBX+qAx#AHZGJqSi zrA~tg3*g4WDS@A&E#e2q7IC5zkR2U5iI)w+FH#4~BQzW%?_BT>wR889@TbA>5ik^xk^C1!?E z63lU9OQRMIk`a&zQwfKD9^lJST&8Hm7Qlr=m(#*N8+(B4kd1-#3pG%vu>tm=P@>JT z4MNO|eER6*30z3sLCGF(k9LOQ#J57IZ7u-!RmJ7A$Fy(YbjYE>%~^3yxmRW|I;&NL za7?)SSL{Y?p`A`_Wao~u@%U5t7NHV!cQg1YhC)a zV>*OUT@>|3`G{`}+z1M}!@wV(Rrh1X^~Xq~n@3NQtWKBJsLyid^D|FoSDbpb-qIwlb zG@u&TEw?Ty!_8b}0{2ue3YRPV9;3yQ>eL38b>xb4qIhwnio;DJ;{cyfPH{EpZlYe} zv-9$VJU~BPRFuk|$cgDX`fwLsIiMWhNvWULaLfw&{T9(t~lJ0$2?q9e7+7qd?ZO?hxIWj!yvCV zZOK4t#6OYKxyDO9&N*+5m!aFFpwk>QU#br@NUn7vz`6pt39ctezSC2zjHZgsUNwsa zc4rmu#PAz9ZzPM_8-z*NYeuLJBT;DG95&t}{Bnlk#FuJgE>aA%&(W8>wW?6@pr^RUjT4iBe+&dB%5PF%rg0|SoW+pOSjfDp}fZ@jca^ z1B(f<(e#w(@)oNv(HQnE8DWehs#y|pt>S1v;s&G>E59OvhPlZXpvCziAGz*2EYPoF`P(ARWUS?{IS^ zqsg@s9cVs(O4aK$!4J8*QQCv+Bn(pkkzqdZ<2&=gvZNrz;kfM3awo!|+~9o0&Cy=5R8Zp3W?E8ZpueQPZi zZ^Wr)!f)m}JOV4DP!eU<(oM9eAV;fWi~MlOY5Lv>uf;ZpTLR>|;+&>TH$hTy5!aG- zif|duu3kza0GC!87Jiv78dkA+VA!jye&>d9Yt&IbLghl|55*&MP1Sde%mRe|JU5Li za<^?b6hbHSaB>AnJ7J{*ii#y1dMfSbVjul9o_SJv+ z*-ayFpT}_In}A!Jd)bnI;S^h>);wMm2I;^CHf^kdGY_$S>osb$b%8hrb$o#ob!H1_ zX|B8{Wdt|JvZ&qLh}i#?-wSS?Rk5xtBP$v40^ot#WE-#A>Bc)_WHT88$2Y?CXt**} z-f<2av?(r*XPkW;4I|M@B-jFdPB$R-O+jq3>re)%Un=(+nq@fz70tVy)Ckrq?MTf& zPmlE_SKKn`U%I3qI?U3pv&)*B3H=oFMP(~BB|~LJlOn@vtc{N!FF)DB3!SwjeB9oqt5ufVrubJ!$RxNdDEAl+ zmFB)&b=`EUUQ}RMmRb#Fxzw_hUK@J}R6VOcfHF$D(nonCY8_NJO2JCNt+p_woK#^l z(a~~`B&^(E3rLKlu<14`qSK_zG05ZtC8aV_6$(!O6esPolGC>=eZo$Rt=7@lzie@! ztz6E5Uq*MF{FEuXS?{>a11Lo<&x|JJ11|WfM=hoZmGX$B(nk?o!T6d=w$d^2QdWR8 z%h^_3ma$H~jVnq4L6%0gyl^#LZI(ubGw*Q4U7;G%ezp#h9Z>soVJ(n>i+?`wFjm}# zQbV6tWc8J7E~aU4^kBFL#vX@TKqa8LPQM9D6B6V2&@ z7n_4RI2ZuuU>1?t%q*i5_6OZLh@MF~vzZtj`R{#@wW5TogbdB;?y9~N$mAgqb|$b)8RY3FdB%_&R^)+&_HOA{eGI1U}8Ja_Ee7fzjlM*lL1eh z-faib?C2o6w_k+4?an3d?G#OGF5>>jFA5N>=EpyNLAQ;jHa@36=HnV657)6+OBqQ~^96QI#2x;wdw_Nb=QFWz4bcSwAe#YNtE!CJ3GDB>jN zU0t+rx`8+pum0;IPd#d8Ph|V?i|^nhd;t@uml3IMuyRo9;wyEzfpf82i_W93VL8zM z5al@UiMPpelNVXBzU;)dsOaSsWujH7GdJ4){wHoehE%E`!B6MJ=?g91HH(Ted$~~Z zco~C85Bi*#NHuh-R$@Fs=Y8768WG`#6fbiag35=BCCB9a5Wa({2$V}Asa5LNrk6sJ z<@mO(^};GOl|2mr-6bw&_N0yP<}-h|2s=88&KCla$Aj zmadSKg9*v1xPxWsPR0y*?1mZZ#*exv2P4j z-BQZeb>i;zIx*kB6X7MiS6}YktS|Sj*O#Nw zr`nf$b?W}jI(5I@slGN>)aDAr3~ulw(BeHC{NQE{e(;I6#l?sj1@ffyhB|yaapUy) zbbPa39A9tPTZ`h_4P}A$+6|o@eq=+fvy(@+Z?Y7rf|8W4-`v^tnwyP;MIyW%Z@#)` zH6?xRos_>iUL>-w~l3ttRyAt9vqB;{8KKgiOpw{T}DSCJpHR{VCikT z09%W7(sv18`FvBx`@7qwV`v_;{jv)K8U-=vGb&?KSO)1;lJkwHpbjR;v&Kb6YS7aM*}12pu#=sboiRh|$HD zUD^o}(|B15j==z}x%jTYO>0bT(gguhrHn<06>B#hlmTZzmDJP4I@0wmQiAVo6#$7X*_9ag_%8u# zIZgH3cb+DBj^M3zfjc0}Oh_XY$brQc$cKF3S*9vv^SesPStnKs-hq|~q&+lf6(ln_`*f(;9srms4CKJRfs4 zIbj4zj-XDC3j=BW2+s4_ok=JEN8PLlKg^#QJfDoYmBr%-E$DZQ37=D7Swtbf`0364 zs{P^IeU8*l8p4rB^mlZqSie-RY7Lya0f)INy3Sw`#G?S6`8ptZ{~FHH+a$ee;OcLp zUsGIcC&6Dd##~#HV^%&glv-JIOzBt-=kOkqaC3x&)DfvqyI9Wy^vL}T=&twEC*qM; zh2%d>F7Qsk0r1Ow*2|E-PvbOYU~jt|nsmcf7)j8@__&WFeV=A1vcTR}*mUUznj5`K z2s(}#5U$6VzBe=AqKsF_JE*t;AKcfB<3Z~5?x1GF40zy!q->0vOISn@QW0cU!5*(=iab8zjQsY=*M0~$#nJhJFEQC~GAJ+8G;7kbR^ZwE zmWmNIx!i1v1GS7F`NNl%x+l_%;P$2@Unv|G5!sR!1w5&ClOC4U3kjX*x^hLDIS>g) zj7A}X3oY*~iy9e)kZcg-185z57oz}F5$(iL5xpz;pU2UvfX6XHsAw7f2b^56wxEhG z%|j;+kF8+V<>ssp&-2`!Ne@4&yfk|3`s+q6fK-x{EuF8gc+DHX;mofnf>JvP@khr| zd|FF9h1A~x@nHxlE)CS9ZrFyd@1yYo&sX>W_vfT<5GuIlDU<0<>JNS_mGiTK+Szch zU)@Tgup1EgzGuX*zUK_8UdmY=&v9;0&g?o?{Q7KODdC0k_6{mb@--#$Ov?~O1yIX`~!luMvv<975~7lJR9#WZO}73S*R; z)wq=dQUYnW1@sXYL^3qauFxhSEH-&jH+5uiu6ygd`ZogEd3QePK`RY2pI9Cg^V>S! zM1K^2_|VdE0;wa0GD>@AsIpO}bzfTF63JuJ4+)QxE5;f9xLl+Z6^*GPNY_F$;;1{X zvx5%u(u?G6b$Ey2*ilb5XHHD>4hAX^ht&?lQX@Vv+Fsr^ElP2XR+?eNR^2B8!hyId zQ44QNGUyJyDOoj3Wk9xJcnHcss|e=e(*^h)@-j)odi+CLk8!=p5=j+K;CWS6itmjh;$ zZ}=^l4Hn?J$yO@Gy?C{d8XtqHkMA9zVN+29uZzq}{ei#0)UFVwcR}g})hjLWGlW%X zb}k~KF&NNq`_LHD=&Y)<`_zj7sOkfX+F_0$V$p2+=p0fZ?W88wVqJ z>|CB4A*vE1lTq2k^jWRc4+FDMnj?CVq8~ZCWHP4~{g88vjPNRS9SaX4{ae>5YQ7S> z8=GTzx4EpSHXI~$`k3r6+MqtXF0B-7JFU%zg;G!%N@fY)BwGwt?4S!X)q11Xb*$m2 zRyO@yN`B)7373z|^4isuLp1fF*fcvT@kuT{|R|%SJVZOK9 zhZSM7{_0OTVw7mH-BRk{H-8<158kxPf*_u>5 zmNXq-`tl@t{^I*^tD(cqX-tTlQqj=}*2r(Mv~r8&e(e87Z<+M-+molt`vxD920JvW zU!^DVX1Hmg2Iv{4e4tj{+%{(pw2s1Wt>Q}=xC$=3)%l&CQ9JqOMfx;4ztb^hog*MC z-*30vxywab3=PWbc=q{YN%83Z(c$~7Z%oX4-@oXcF=P_L z9Gz+c?4@iL@d4&PE%5JZau6OkXOF-M@~_GXVrv3z5kusC;`>q5)zt6 zxp6G|o5nCevOfY9Prc$P-hRr}v_0;um4$Vrs-Qfx()0Tnk zEz@1fqB`#OdNLakJZ9DiUnBMV4P;{n(bUY4~8Hq0N9OxwR@~MrsKi%vWWa zLe}pBQCvvD#}T+wl(q z6W%LH1i$Mcb-K{cM-j!Y%#P>xtPGxpA_7#lQ-$X?0X0FlQ>7Gdk3}F|S|K`0;cVON z?3%n1x`P7n8>mq^?`+c&d)t_VaMJQ364IBE+hOFCuGsQq;rBgAKh3E+xmy@?*k!Bi%(v33{m+HOOp zDwAfkH0Ct3lf}o01gUA=I1KjdGP&F$N9Tyf0Y*W^5RlQ+@&srwgxPd<$b1QoEhC?L8RQT`yg$-du5YyfI$1BSevtbTaX_}S z-{pIGnO0Tw9j7j}GFXu4QB)!77yqv5&d1`Mf_)W{jMGBxbcFJ_Ah5Q17I~Esy5oYu ztm?_-&}091b3)l6BHOq;liO~FC|c4QEM;S;F?7W#LyfwA!UOaFard?%l5Fdm5NGc* z%s4nW3@8l97|d{XW^$^!GwZwhc*WY)`|F(U-aTEt&p!L^yS+wcMpi{vW=5Wf%&xA6 za_|FX^oQafMMN0{K}1wU2L!<%B8b2Ip@=^Q{58&i$S|NVD*Aq{wcfR2MPz1moqey~ zVb1Q#h*)dIiuLiX_kG^yS=;S<=)SmT17JfbKdAn@uRJyYL_oX0urD40rXI^HwXpOs z>&mJko@^{cAA!!aVy6R|Pn4U|QhTz~GHDySCXES?RdSma=x&7RaonR&mW^FS(rP#m-Kra37Z`A8 z@L2s|$6$bIO43r@lZTXoH`~6=55P8AN1fmAOhW;ohpR(llC^>zgp(TgYc zdTK~G?L6sdIXxWq`@KzcoSR?UtH!?LTD>zwQALHg=|WxWC(;1FM>*-!!k=FR1zO#t zNI~R}igAOhG9$)5D!)!9_o_^21#FDg5Ftem7U^VUWU#ibNOaIuY@CMa%F{5v`}5>t z99_}$w_)aQILJ)8G!ki!X>q@W^XO=rF~b!W(4y%QvC3D~8TZOy%5zw~;32g2 z`Dd*#rJb*Yogg=Ona_mqzuM$DFs+h?V8?sis`W9V`aB?Vj!L-B< z!*X_#Gx{CY4*j#zF_Oq1O-1#$jZjJXHbt5F@fTSZCMBIhL%PTU+Q|ryd)wLu4 zFa!Y6NcBXbE*x_<&vS0gg8xI~)E-jcH87fE!9Z5-r29F^?Fw!blQfB8=arYQE}$U1 zO0KUbnuKIdX?L4sDP5u9)Q*KQI6pWV#x!Gy1O?f5CX)MZ0!>VGVz`@#&qy_Suij)i zB>nMi^M1X}e6ITA+vJ1D$Y4^=KfY}~jE&~WAL}L`MMiV}?vHDejphSIz3L>c5(E=l zPF6mVSylC0U-@rs+_Cdp2R3r1AU`Tjl;m-8!mNL^>VEB0WDg#ji)@-cF|@w{Nq<-MPhrv9M>Hx1YR(@Is4X+JhbW$R5+6y&i{Hq`}_xAF<70(I!dR zkoiTL>Ms7#w)5_9H}d;3IAc6ZlZ&e|$9Ppa-jwf0`|WE^F)As`G>+n`n8VgOL0pJM zD^^ge2=|tqwWb5P3Y;I*cU()2DEC^F*E<>$tc@Y8^^=ZD$ju4c@rf968CGUK?ox%e zgdUt#hhhSo_KnxZ>YI`#R4GXpodHPpn`d?nkVf>@_znN&PaK{^B>+aT#LUUCp@zU< z2X!#^&B$jWJ3K;p;XkV!BzKSkT@{2;{5YVqgZIE{8(y0pv*uHOMqaIN=2#jm zF9c4za7hGZaic%B^$0Nc)3TtD&AS8zw@oIjPp|;p45#{~%BZDXES&7fy11IA$=7q6 zQCn9l=04)iRT+d{B5tRub0e$5YrWxw+w{S^kIW7I!M^34S=!8v;EOWdfy}a53PypK zn;KLfxNT5*oKB?``!iMs1p@}^E?qDfsJeE-CgnTCo51Ug8YidyaBvirn=6T&Fw#^y z0=cp9DA?$#Q&`{i=%pcslW$5k1l9r6m-A&-0>(g)^-iuguYv9k}?A;cPECZi$H8({pFaC$})AP^AWVONQUXhe@OO?-5_6QJCX7<86^w4UT_So)-`NNaGL3RL$WS{Ay1p_T zvMHCvxB6#8IR&sG-{Ct@i0Pl(Q~>Z^=pRDhm=CMzC}W(<_JC~9QETBpnUvES_DK61zhgH=o4jU7PJjUJTF-*`4N3OcC&>id3nH3?+~ERh6ho0_07K^wF{?%u2c9%*Ex{_RjhZHS@R;=CbB zC?w%W#L#X7UTDzY9gtmm_uHRt08CbtAJkNdHdn=Dd4uZkD8y>8BulJ{yfdo>PId;1 z)322oxSrg#j@XV$e4$`%Yx9yn$o&Lrx^lx^8!qIcPoxjsz74w_VtZC4Oc=v*T`WDK zmlx`9lTd0pDFTRYtuP}(&3p4Fglxk=^x>gi`5xdH|X zSiJ$m6Xx5i4;_?#HfAveVit21nRl~-i%P$~T7ppo!-x!2<>`H3p%8VyWGQ3X{ds zJif&fFnUSy#&*Q6CF)sA!N@I*w$Ih<_<|1}?f=YJYB`x#P^MuPSisw4L|DPcBHI{) zk&4{}S2K#S{1;eq7q@9+CfgH0jjqw&mVlK`J6H6qWEMg5 zzUS#8OU_}bB8u4L?DLDA7r1OY0d>cF+g0>v-81$S9v^VOllHvCCxYe-a_K9QIU-sz(sMpdY^P(5vRvR z3MZX;@@uP_0KGfH{IsYK%U-3E5+ehBd!(|qhTsOh7Qs`{|CQz?kVc&?(74;BwsmYH zUq3%f2D^KP>UlCn{*8#(wOqhG36Yhd-A$)bx`h#jrqZGuB0m{2wfX#$K`u?TmdjE; zU8NH4+c_%(8Rg6^$JUVZdF|r8qPJh8NEqB zA4cw#2!PEAH(KOcZCSNU8_M(d{dqB6R&7EcR`X*I340F)4wWW~A7mfGML*X{3-sWy zJQ$dtObwyP-fO4(Cpj#b#2TLZC4rMxcm1Ip{$n>e?cm6PJ?y}dbe(!6UGxafIA7ty znk3EQhvr*N{HsPc*kKI|_`onI#_*v!z3q7>WX_uR4dn^%{>$bBYn^UEHqd2OOp8l0 zdM8;*Vr6jYi*$ZF%hq!_;)lRIT1s$`i8_WuP{v+-bJ05yn02n=G~YWosMEb<>C&RT~kHb#3kid`HWM1OqBZ--w)sd)u^WoI~F)*#dl? zzRPE;S%PQt6!W_=GOjYu>K~w?CS(|*QlYZznagjd#lvSQv^$mgq%c9U9Dyio$Lk}Y z%{BVU(^))&ugtmH@CUR9m&UKozUf&EAUa!2rB`q+FX-g7lgw^m&y_bKw!IN7Pb)Om z%goB1T~QinwaCrpEDaUNE{x$n^8w;b_mysH&5N}NwZp(MzOhJC(>Xor9}h%TL;|II z!^+G40!|DnIFkZ$l6B_kO>&Iv1xLs6#92pK;d#fSGE6%`@|4tMj1Ib2mNd)%R}{or zX^#a_&83zGILCQw-Ns|?*Pc${*iAxJElNu*m0O>AYu(~3k5&CR;SPA5+}x(54s)=L z*wPNs4eS`UR{Hv(FCFIE6iG81lbiDt#UU||h=rJ7gkI&-bezG7H&5};H0d7ok53$- zNMuJgaxF~HW|i;4-Pt#e%|l)HL{G_bBRKpJ>c;UwmEUC?iq)E*jo4Nj(c`?!z=riK zyigpeftVwdduljEgt60e`bOvM!|TMtxlw-{MFldrl%a17=IS&jEn7B4Sh0c}w9xDq*-i5MSqi4gxOGQU4Wy%r z1!zU&s1eW7MAPhfj^N{_962IV`V+Y^o&%@y z(a1-gB3FQ^L%*C22$&z>$T&?&6SK(2opl0N3Wu%8n`zhbz5~)6%W7}hRhqqbP z-msT+w{96ch>y9J1!K1+yR8UD=+eIV$hgYBVYI2YmDCnO!Su+E5*^SRW*^@hI|M^- zg1*Lpe9>BZN^yWz1fsblgcoOs+h~44?-l@xrs<+F?*y+&D555xrDJrw-L>KI$szI> zz8C6Jj6Em#IG-4Mt<1!&BC8)+4X6mG&}lzU_NiSgO2XDP8C9gEPUX*Z+O?)4XimI` z0)^`%AFDxG3Y!{C_>iu}B~rK^Xj2gTYfLOC`Is+*(&irXiIG7f#?wZom${2+d!$et zt&I-V!RhG=_*UO|M4^evr*R;BC}I|$PrIrg7wHJfq6t@XpJG$Udu3>fvZfq^X!seQ#M1J9=W2lVtC%r&CIh~ zr@1H&J+MS!9H%7fsmCEVu;F#Txk$!f@R2wjbBy2p+g_H$OQq}Nv!Jp_5vvN}Yp@hB zdzS+98xOhtBlgb!as>|^Ew2pZm8LHe<*cz>#eX(7YJau?RK)uIka}g< zGp(c1>-7(VAz-pICCBzpEGBRh*-X25Z>68PW_12}4o=Z{5L+Ye#LE$bXy(9+^Yi2! zIf9b2fdCmEQN#j|%8b?`6Na&m^fFNEDy?yL@-cv8?6XBWzx6#ug81<{xXdYL%xiS# zRgs#{jTO?`^_{qegq7W^Y6A(VS~=)6RgER{da^2qd3DtyTH}gjHBofF+M>VqT#eyW z#O@Y}ZNKhE$;);4{xV%G;OgU~5);SKxa>h^ZguRHKrHz4BV|}vjHNkAGwJMPRZAAMvhug$z*+jRG7PmHX z(@ye9(%Art6G!2!ljeK6lY9sN=lt9+z&N5I&_70a#>tUF;#dq0v1e-tV1UzUQs(ou zv4~KG%s$o`CzK<}`!WWB$D&(o4pSzmxcjF*-YDNv{2-g91ck2RGRQpk34O63GF*4j zh_yVyXsPZUXs*L1--YsX1rbzY2l)UQsvY=x!Kg0*F$fx&urHtf6)kei)um0D*>p-_gPTqvQQ!OHVao zyTqN?Iq<|ULY_`ewqmI76OlxFV&u?5;@u~Er%(E)2GN26zROHFCA+i56*(Nwyr1cO z<3@?Rely4`Bb{Ap4i_1u<-Kwc1D=a^A@-8;aC<`zMWU?tEJe2RU?8aUyubSs-!I{O zqD=Im?MCf|aIS`woee}jEWNedLuH`ca+Zg#hZh@q9CV&_=yN!4GLpH#z?VP+KskJc zhg-P~q<<<@9GNKRf*t)8yU0oZFOZ>X^17N2Qb_4~1EZZN7vSIAc_!^j zHjA|3sIY=%aHH8xyv=o7s3fYvqdoY4eTzrT#EC7rKkd3i zwcA||j|CK(4sa^Cqok;kcL|)$ipp#oux(ATv}jg78|Vp(Ojs{ffEkt|EPayH8|J~$ zvW=i|T&^W~jfaR5TQhCWE79Q?uC&?)etWPH(Vs+H^FR9WX1Yn{aG5R{s-x9CBeKK| zqDl7WP8Ee~wu+uv>cFMlzDyRYH>s%%#9hc$3<|Llpe=VGXdb$>UUA9qfg3V$TVKCH zVafjd$L{qnJy43$WMZ^VD9My-_=fl9o;uU-LYFC6g*qfwP3jQOCA+`YrqavhvD>L6 z55h}+^Xi#3^tnO&h*y@S|4%1VnAYiv=FcI`ANtgfHC0a2T02k9%1a`T&m47r#N|L0 zI~{6%1lArfS##(`S$ohO0^hw{U7|M(c4obm1`sC;$`kJ&JbA%Seu__?t0#8^%P?${ zEHZSBI4_9R*a{4cGj#vKvzO^?n8J#gUZ=Xjcs5_aV!s-vybsRP^=*B{4_&B-?$u1I zih_V?%2^v0qcqm9_h{t#y_%@lHnV9y%jagd%P2oMMUfU4oQF{~IBL1kzQHNK!4xVl zVL}(B;syI=z_F_X|Y`9Vg)dMTU z*oYK|DB!`Th6=)>i9@`*U*1}AYxbVHcxMCd)mzkGYCPiS(_2drfhrANIzq>br|frn zddX-1fOJfd^uncfg4mSsJn5tav+>k82x<9n|*{#vr^DsEf^^$t90$(RnSTQf*H2uN+J3C@y*S|ck zc9`Ne_b48qu6eq`M9*D>pd=GGI*;%9kurXZ=4#CW#T@bJ3=` z0e@j~iIM1YhqKV($b7-nJwF##sh_*&cpY*J)=gfKM`E7rZ34m^3F!&FX?9gi$IS97 zk0`${*VjrG2lLCibr;1{(=2iKbmd>Y&C~U>8i$=g^4px`Bn< zh&aQL!nrMHWf@C&M5g7%UN&1wUdkR9vK4n|x9lR|@%Btbo_dL6fBl)`ey`m}L`SKR z)rnI%^Z-(xl`c+sr`}?ocXgHWkxEDgU@rWhKdHx&o!?_qr&J?5MI#}0%vYt@SSYkW z6Rhg=no4Ji2~6DZ(cAcwH|(T%vqHAC+?zLzNGIcd@>3n97UdXLNTF?@HWzE$We%x# zs6X+cZCCNuc*WLKd)NI~W9E!_S`38M!jU^~TZbrEy0$4xamSEFM8*ONR(5AShlCO* zzQ;&fUFWc)&lcp`CntTAms?W&B*PEIC|e2_GxffuH&~I*FWM4X3Ny3m3?NxO^QFoo zQwFkQPV;o|*xO_5)Npw;(snrfRF2TW@zJA$q&qOVNv7_bQQ|$(+5}eTJZCw$t*YM} zK;?S}oSgKJu-QnTm1jdXzJC{gSbc4)*1I^-UVpJ?$WEx@q##L`s zsUtyws}PH|2IIP&atU^ryt>*+QmAtdXJ!-YDUps`?-436ENvwBAKlljdYbdZ!kzeP z)f675JsFlBcKt@y0UMcwEqxAlZ9%hta5R98693UZrn-`0QNrL|UCNIJ5(9nWz&a{w zPn~5tdi=qyd!NlpT9k(K1i#RX|9~2-0)+>Goy5gsbmO)jI=EtKz^j+?>A6Q)n8FTL zst)$FH!B#iXj8E5M=S{ z?6^Y;86%kgtB#WD7CIQNDF{LE7MEm4o0iO=n zI3MibWE|1&^w=OZ>{+c^o0>X;PdP;W^5k;GIr^4t#FRETkj3|oMwYBip4-AE@_eQ) z`i`zZ_SochU!}QM5}(qg@61?&w!g+3Idv`R!j4OT5I5_M-y7z5wl~24?bHA6?c@LM z@6j&@d{vfGFzl^~qy%h;=}}rvm2&gvlD6)(!_|4vcQxYSLG^OR_Wp@y}l}DW^ILXuS?8j6`$FK`2nYd3m*tN+JPK!xSFbv zw!`wvYr}ElM)TV(OT1*aqd^s0tZ92?D5IrDjTm*=ibr!lZz5> z3vC|d4@RPyj`vYIuLTt{*xMx}hWM_ipU$2?e)-&4NfTsdyG;iDC;k3n<_r74GCG4^ zsY#Uc<&Jd%$b4Ui?!s8scOK7@WvEUDr#lg4A=+Bos-G*|;r7+zE-={N(YV{?+r$l% zPwjV5f;L_w!gw9QDtCiwpm!h;dqSXA7?Oih-nIh+7G0vk&vyMx2N z3qvS7Km?Hq{%9u(-<=R z3T$*&QNEKw5kHv73;Qu6k$K`ivndSxb7dHIx@9k5tO~MJ%c8i>nPL^`P|->0^b4C@ zI*Srco0x}9<*1Y#vOf-PURgfgW~W0B}Ug5lsT1I z0jy1-)ObVLgs3)qnxE*wHR-Ky9gAEI(j}ftb4Vd^I$z#vfO?jLJ;vWxi)n7Rg{t?V z=&_G_;0H|)IF!Zs_BuXem&}r4eWEe$NH}e^;tz}DE!xl=z=S`G`wXJr4jRa*0 z+fk|r9e50EDniM3M~~|>Fi_F#YACRl`F5q04E2^{ol|s&3J=O?#V7@CwQAvbQIt37 zEzHmhzU3UB#Qosu3UM*7i$!wK@AO*ZF+pAuK}JIvIcb3j>SY8FLf;lQ)nBsFeyi|a z?@dDlGvB2Ohb=nI=Psd;o^II2>0$WV{{(S%VIq)DzzJD*%he^S3t+lXbSsB(ak)}_ z*(+K;%E_psFtX!lmNCMQG7C?T-lCdC4A`pH(^+}Nq;N4}`NCxLJp+Dn_AZLK1}skISH=_o%CPRW`_ z*biq=Ww~p7pkOGjqstU?#cD-CTSnP<)52J!QJUn`7Wn{GZ&d7I)sUcoXjAGRUCtrg zndDE>Kyj~IlpCubgpJ0@u1N5cmied7DsWl~4j6g-4EkrCdIa4b%biiypr^%Rr3 zX&05x>Xd9!;IdT8?BZsDq06}>O$RqBFUek+zcH@Cv%GP z*VgiUUbPhqr!Pts&TPL&8n`!)U`)whpqnEarksK=ns+2_T2n*avM|xNi$bM{fKq&Ma&Fj)^A!_k4<8m)$BpLeRnJ=d75 zXuJ={4EvZrPCE|PM=J<>1gtYt90c`HIr<3%o@vs7>JxQ?D7mS4t2Yf=+pK%|*KPbF z>5gCwLKofkV#IJ~BbfZN+vE%vRiswrdv&DEdKAq?Mg1Q0hNC^5bdQl2!h&k1GqHP3 zU=PV!=N^}#To1Aw=uxy@%`s_;Y#_r~zBD z)TtftEK$;$+fBsMy!saz9(28Up|5xvJJ7?s`O!|os>6PkA&Y`KOgWU->9>;?~mT#8K;|^v3;t8@gxdHVbgj)ba{y zzRTWlZT{*zeJ8SnXWBfUF{cpSfIq}SM`42+oSBhwCEXx+0B-mNO!ee(l4_jSyf8QL zDy;pLk+NM{o$)Zi6IIRQuG;N8FKftD=fK3Ryvj0n;$*7eh3qOG@mc9HKD$9#a*UiW z_gp_BOAU`fUZeC7{BJ0ZFq;kor=;GYpQmr2%VoxVnpPPtTyggBCJz)tmg-f&3}Tlc zXK5AQH}s$d!O3W=+TALtfuPPAO-16jtu#UETqGb~7}u6`0ore=TsxEO8@XnPCb*=~ zVck>_yvwqq86tyWU>A_L8IvBF)!#SI@ql2H}Wd3(PZgL;1C29l25DNP`#-YaWd>8>UnIg3#G?7zo##A{EsZ~*7k&9v!3x;AES@J%0YlJe}VGa+o& z0X}oac2uZXazM2aD}9MVr?6NZyT?ql$TzP&KYY)e5?N zUOBu9oNG`-zyXo!p=qvJZrqTW{<+r2-c7tepHm%=lNUjriqXWT@b>-*+(Gm&cYn2} zH&drH7alb)l|N=EeOat9kt%t53lA4fF;u7KrfAi$A}P^q4{ABACFqobyVy-K(WLY+ z6_`aRJ=rnvBKxa`b|ruls&&V&f>dAS&c^%^}ITYG@e2JR~n4p z%t;mJNz$($c;WoTAwsoq;=EH#ibS2;+b*Z z5EDh})88?j2}f>+6nYa2Mq5^AuyudhaoFnEs}L76H=ZdkI%&t%I{eXU9jaPKKU%FL zRqOait97hu&3?36GfY|h>+4xa9HU4y;u_ zb!Z}$79l-xZOa$BA9tRRx_H)=&Fl81t_LTS)QxJ_l<0f+ud-uS=isVs%Fo6%LIlnc z?rFJc%F?E-$Y@wddT)19E^tHg`8}=w?Pr|TL7p@Jh)Eqv7oD)2+1jz>4bGHY0oX!w zju5FD_(yyPuEGk`S*ls9xk4NSDTje<5>Dsm9izlZNN!)C%THQU!UlVf_By={TaHpN zL7<&}@{AnnV}q-+S~b2!X5atZzVy=P{-I)t39D4J$q&#IwWJ{E1JW+J`=1E3h0OU( z&xMgzwG8zDH*36EbDpkQZ#w>h z2~)Y8ic6iOEzdxM-r`6O=V^`OMqn-yU-5S1X1>K`A{7E{?VfB5S&_7h!Vc?JNL!^t`SfgZ*V@YZ0 zOr9HlTl;iMklHqeZdMkYPOl0Sx!O&}1q#T+`oV1pg#ndEe?(#usIhgUw@hgua(BOF zrkkR;W~jrC3FEjHt8_KX&TA^Gwxr|r(4#6-Dj<|?9I|_-VBcJVg<}&o?*8nCJbT-( z4iTG{Gwf@IbDP;^$y+>w%Yg8Fx;bxW{y@W%8s?Ul53x19w|3Y6h~9d0gV0d)v}1hN z^6CYO%4-e6CNrUcnX?@Y--ZkM;MkasEXQb>(rMB~7D=Dm+^*`IGp5H89KRE2eTb`X z2i32sV=bhfLG&izc~ch4aLMEx$h9@;HL>Y?yFzOe4?n%r9*A$jgJ#uw3d5?Z^)s^v~9j4S!KqK(X6e>MIUV=7u|-8iPGhDzkU3yw^Qpm&trg*_*E69 zvg5VdvekL{fZbx*C<|Rz38Bd(_z}*PbrR8@26oU?FekJ)bi>IN>=m+?-lU^z`d<6} zUYlxktbHzvS7}GDYnv|~-O#$Sn9t#XRhg%gq&pb&S|p`Ia*VpdG__Bj(#=DuWRIJp z7i+MmIK5$S?!dqBOgt*n8;b38k9yl^QP+lFbdSw-At=B)9DTOyK z!j*1PH(gxBsJ*r6LF!0dgfeBhGO~vXL^pi&}3RWI}mbT)}J@=`= ze)pCN+}OBB1w>^L8J%7Y?xy=x!AZ<5#q$kY7k&44n0HUDD{gp%3jnV;LH<>{e&tm$ zy3TG*v&?jNG4@_`a+{|L-C-eARHnl;n;;tm(td-9d}aQPF4QvX-BZ%7*24MK)H@l! z`0|+&gE#NhQh+Qg$zvg~j>(}pefV&X6YSe2es^3s$_&1q)Pv;KXeYxR#Z}5AHvf#L zEBV^&`DA|j-jmSjWS6FBGd;;3;|n~nY!2`><8-c`*K(b3j~BAKROYF_TT68vN8ybA z74xUt#`{d*Y&|rsA8X`|?_6W0j4h=ZE!5Z9D!3(D7#PTQGLfvYO`I50# zZ)j)2H!+3o2tk$QPKj$dE;s$}^@}`-4aOI?it{ z?+`17t8y3 z($Ag5H~h6bC8cFlW5sDaR)xtrP0KI^((($wSHiy#5mHfi#@^)P<<%27PNVJOd*lX3 zPfle9RrvyQ!ONv3iaS$$ZKhLV@M6x$!@bG_IhaCuq4 zKvSuvI zULQ7_Z{82V;59J)H7m*tY^BS%KGao~VlGn3Vcj}i4)2^?z)UdWZI;3)T_8z9ix0_2 zaB8hMcvX3DUHRAfGHH<~EUn-bYla0m6SjB3hQzT^tq*-)<>k`k1GNck$t^*JtlYfg z;`ao0?yTl=J94HIcZ^FqBHFL)9eS>O4Zz>7;8R7CfrF%ljv#!>ngb&w8*Z18{c|60 z=m`#-OPeEreB<2NV!ZlZm07kcMC@#v2l4S{8@+&KX>YGnmsHu#Z(L(IZA(ElawLI7 zf+aD@kzo;eLQqM^(c~K=f0_@d}|(8ZqN16 zLeoo|R_FEH`r^0oQbsKD9Wetr-G`6O9S=bQyXcAIiKAybOxSO1c&6r;WE;8?E7O-U zqdXtHmkWVevD1Kz_8eOtV9k=Ew#oye`(h9qqA#Ig!{RnMzs1k-MPAy(g>Q`)gdbj8 z{N9HYzqhvd{SPUAe{JyxA5#3m+TssCr1-;TA1L$cj$j`z^RZjIF$$5DwD&7XY7uBl zXEO{VlHq9{)P^u8%8;xUr}FB&6Eo}{?H?b)qIeBs+{&zj8N7rRqemyM6r`}b3fbb$S?JXNAyt81ooIOGV* zMOA8&moSrNev2j<+=+=Xf}QP7mX9k&)Cw`bzBqeq@=3TE**q&RZ6n}_N~FE~YuFmW zG0=lS8^Dg(U2yOVMgitIO_s<(K0KZdC)}7f1tC4Uzcke7NT8s;zmerE%FA?~zZa_P zhz;h31Enxq-Ry!uL@9p;&%pu)^*kN3%-O%(n*P^tvSq|1YZg}#5+1%z3XHNJkYXE* z=9e0=`6VH-Fh2%{dn8F;p7B*+VlE&h1Y=nl;x${OL)(kpcof4;;M3?UwUn!nxUa7? z1b4YjJ!@gAHG(oksA{56f;X2)3@9i6#R?4#1OhkpZybm0H_U(GpRr|7FFKM*D;^wo zZ+lJc_+jET`B{t;WHiOY;Uph zL^3yg@O4o_RYmd&j&g-l1B^f?%*dU3BbRJJvdj=RA?^vhVEnN$B*lvslmgzGIS7SV zux)6Cy4l;swb$6P4QPo?+OQE=Li0A5`=tTq?>H)AlNLna5N!=Gw@dxyq=Lx&xLO7;Ib)`siey}vCQJ8}#4T(8l|1)`kbp%-*a3dk)7oR`d9_rK{ zcWUN6|9Z46hzYj8gRt|#wujjm?T}k8zfjthW(FdG%C~IOq8sL!AuFD1e zsk&7W_>DP9)zDHnGQKlcUuEO!n$BuY6?ChJPyjj&$I{*3{pcaI2*1A|Ekc}SKP2Bj zHTQGo$`6hkB)ds&(I$5Hs9@pKNIAPDCJ}8AT+x6Z1CjIH<2g(obY$87R z-L}Gmo-z2!d)ul-ju7kmEZo17w9p0CmBu70IJ$eBpCMp zG!1({7*pdD;LC9*^OxCt%1QIZTm)yf3S8A(+q`a2P^LmxXNhOLO}uWFmS!U#l7@=O zgTY*0-W1Lc)R0l)?G?T8CU5 zAY&~a0hy^6{(Nx>%V@cR9qiMq6-*5Hw)Qc5T3(V7^U4Zr`!TZ%ya7K`IxQ}fZt8;5 z{GsKF@b%y+xUIDB@CIGl=XlputgIPfHW>QaRNQm9$2@6RyOK|m%Y4}STJRRr>^Au# z9}dyv(FG8`#vdOZwl#Ek`f(-6^G;k_?{vp8$ zmct<-5Gr?v1e~hrJbfUUaKNo}^wr z+s+a&X#Ri=Yfg>M7S40Pgz*Zf0t;80hz}mSPPyXJZMp`*3!teq`pX;4*A zO?ynf$}X9@-JQ1=I4wQtWw~dB6|T$Sj=(77@nN(IBf$JHb&R5QFlGJ&RWXkD6qpcb z^?X1bcaJ~5*P`V31(-5`{1p|#GwHeT>>*H;Naj(R1Phm=K|t$`X-=2B)3m(IL`ez@ z+P%rgndiq4$Hd!|TubIf6mcDbh3Tqbh5dKLD2ZbYqXf6+Wz3;28Z50z&tly^&ybWI zv-gdsfn^NQK(X?{)(j*-w4eHiw+83%I5I6urH?Yq{!%v(Li!& z(2+=Nh}8(HsT#YGu4g7)Lc06mdTw00u5)gQUFWrMmT_X6N-yfR311=0-NhMV>9Qt~ zHS-m+>iMAiX#Ab@nQG-XwUpI)Bc{{3Wbc!lD|S z?%=pByVY+@V_IuV;%clZzi_N10uS`PPAqlj48ZhuhI{fPnBVimqw_vqKG*5V!0~gq*)Y^mf$9YqnVQ3fOAc)oKWAyn9qJ zT33Z{;@zW$@!D?kExb*uxcjp;a$hf7B%&XpoU<@I2@j+WEjHlG<~cZLXFnjDpH;N4M>zUw2w#RUJJ2> z3@lsR;t2QFHw51f`_DmJxycPtU&xzsQyX*zIzqEO;N)^^-;)zJCxr_kQ>2NjMSc3hRxN-y%>`^)+kIxmW zFm>D6H-u$`v8eE!hXt-EFt?r182nqUEG7mZR0N;eXGll2&8=b64~+{SR-eB#kRh6< zDQbq<@AZmo1-$#K`51}1Zj&=bfetSudLHzY1DH*raZ^45r-<}?TTEAIWVjqLbArw% zX5jS{>p6oke_AWnElgbWDZPLtc zEf==Oi3B+#L^AeTGR&4Y8B8+o1#o-y>u%b1Xjw`L$}g(8Xfx1sdFy8L&zW@O?%Bs1 z0c*bUj!_rIgy(_@3b2}P=%{wWtX>Y9s3;~qC0k9H~dKHNQ0hTPy(Cn3|dp)_M1L6cT_9;YQ5lGqA+pc{X#~$y+6x%n`yw z_GCI;AaZSrB^kIWY(n`oBhl|`w4s_ zZ23}x<+3|*CE}>zbMF&OMZcaGH{=8|&VT&(twma3)6xHbi~AHV8%VNJI#?-zk!bmk z-Cega*gqIhdvemljB(cUnNk_5`Lw?` z==V?i{ex3GDZrq<4Lx+GGPbvG)dGO+L8J#Q9qmL)&bLt{Pt&(K3|E`)RY~O1 zWSWY;t=UgsB3TXW&(H^i5AVKs`7Bhoe*XON)2ENWga0$)VHHa4a%!&@?0afMq$98m z=OjR^?!8HsbYEi~Rzp7NqJDL{SYU(}27k|@f>^11oY{&mY72?n#y1hug3%6v7yN}( z;CnGl&tt8%T7*E%e^qi*&5F0k)@+NvU(f!6v^ngnM_Ptbx7f5H8fdmvcO_X-;z#Ym z&;;8W>GFGZN9-6~J;h?i$r_gek9}3ZnwO{89Fu$KtjibQyuP5~5MfjzWgB)Xp@?}w z3?yUx@u_ka098P$zvx)NmCEU+(%8>2oUz_!C>84z;F7KoIww764x=4JFgXKv6oob_ zxtUFE4Pi8nE8MJ7bnGIewSU+XEgJJHF+md-&F;&WFMGek-hk$~9tpaly-n1Vh~TgB)N@nS>jxvqM|Dw#Znm;dUyh-l zpmn{77?Ci$Enw-vH$=aLJoUv>g;xb*{C{Z=h;zCr!aUMP(FnCb|Z5{>Wo;zA@zH(kE%#qm1kQ#nAVrNP2I z@$B`l!$`tYXcR{i{6NBCVzU}gkIXKwywPqjNC0rEebt7hInWngKQ`|E`#&-!BNtQ& z!YP(L^x@cvB2MW_3zBH)lWE?Um{9i`PkR^Qojya^68DR1_R+~k?rE?@b^dQ&`UH;g z6l^_sUNQuSOup_*&boH3sAjk^b_YirIH;SN(v*qa*os#s^}3^Q zhpka)o_YfYI|=_|FX^610=5u_Rae9kK}=HfON;6W#V?QwWVjk#!wu{!XE;>N5B+#M zPjnreBlWFdOI?6PO}p{_LI1eZyEg&Ux9nDa7Pys9EYs@0*OtLe<6Wn5ZxgWE77J)t z7A$7*KIz(qtSgeM9Z0T4QnyWZUT1CIHV&^)vu!t&XY1UDoVP8j|L*r|o3lDJUU zhYbWocX% zzMJ6QuTJ^+vy_a?vce0yNOe2|dy(WTp(B@w74XsnX~ONYN1Qvn)}MEipKQ)7@0}f$ z1-La^{8|yC7E3R9UaIvt<2P6xyv4AoIa|h(gQC2Z0ebp>*dl2htsgldY?RR(68wg* z8|C-4e&T9DUUK~J-UiYnR|*ma!)k`(jzSw@Wowm~7xc*}LmDR9^wyQDazVl)DLk~R z9?7e^>&|x)3c6?kRl(GRFOn`iw!%4W^RhD#T@!v>xNCQKyNl0JzEg@+h3k~1izyTJ z+CtTdm|YuaDZ85d2YkwR8VCy9u8NI_hEf!u63rnZUMWgED|0rh{K0QxD!}`ooK)3e zAEOFH36xxR?4FBOd3XD9os%PqT4-WT@2X{{SKDW_kZH9VuF9eIjWgAU^Nwp$uWVix zQ?t{Bv2(gO#X#zEH73MyAP9>`BSi~?k5m|P$*Zeb=Je~N1px>l6FNV6hgaDY<}0$@ zd0DDuqHhdKbT2Y2ZYwy+T;?Ssg1=x{3PMZ!G6eiAObPvno*Nu0f$qw$v!o-JyL{Bz zt+IEV2}e(VVxI1fie2^XEI%LYZ5@n#jp=J5;Wir11TlrZBYT&kW4|(xQfLjK9CH?C zICCd06KV5az<;9o6&N&!u=8EAoRABS-T@2vL>16wE)0@J+q(VoO=!YawL#85`>zm@ z|CO~uK(lIQ)6+3*7LmqLGtFu}#0~xvG|`CC=kDaA@TjP{Gb-|gj&(|2Ly~uASuB$8 zZBF<1HepI73jUxR1$aAHCEb$*CIc8oWLjQjGtHMs70?GZX$O}u>zrp%w=}AJ<|==i z=^iu!9|`nyuFh~RIv)lb!$KNqobY|+d1-x*Vxu~Vy~R{kdQBK+ywX$7Y;6m1?-Ou7 zs;)7IVhNtQ-ZQV_yhth1{qK0J8RNJ331(tdz&d2trMv&)gUOT%SbpH{b5xkaZJ#o8 z4RolhzF7OR9_UjyEb3lSFgr%YvNjX>=Lk7dqzD&>wF*z-M>q$#j&CGYs}bQ1|rH zn*tZSxWVZXSGj}u-c7!%4*@hhu8vSEE+=50S9K0E#2c~G+lr)MLr4>hVxMrd=^$tf zIp~6KC~RPK)F0F`UdY`b^C<8}ZKj0n+`wm-mt}T|XQB|tH!Ki#n;~vzIKwkJkn{fB9&>&2~RD$_a zTaaq&>93%5n5x3}8^Y|h9SvW&Fv(yJ`*;qgq-kQ1x) zVaN?GtwWfsDZHR;Dzv<~K`BRp{RW-oW%3%86A81U(@nZxoxMI&&ABP=(HI!;*O{3$;8L40mtNDqcMr7SXe5q z8~1iAwgqOyIA5)g#chvXl#)ICl5cpPLm4|v?9tJOo)E;Tg^?Q-!|)~p@I+^v(5ISK zsN#_XGGP4CccS-_Z`p#?hiTCo%M{kM&C5f^()K3e9e5($xY(roqF826m<^Q~gwlDa zKvVK%F1YiEjC;e_#8#-2ALd_)0u@iBuorpfQN$^6k_Em!LOd;9_+M#|9MO}3y(1VU zcPYjAb=f)QDBOw?s>}%z_!c@rpphuRl@a@4_v&_B7MF}V>eaklR!x|9U8usj46r`3 zwOwMgRNv6iR!D+RjtFceBUVa1vx%eLrTdf(9Rp>x)DXGhKJ_e$>1}I0ksI#SSF_?; zvPY=@RR%8<=-9Zhcvv{m!wU8yJ+)af?>UYr{^#d71poQXoU*7Mdp4c!!Xi~BU(k`D zJ;ECJVx#`o7}mzC#5x|`p}Qha?PxgKz)wqBcH;BIf5)kst)JC-CGlqTeNq9+IT>wa zn*$vk8>>c#Xt1W&oTpV&g**;4LI}k?U(-&WUoGB`cx zn~Z`#e3x`drYd8k@NagVe5;9&W7(1=^On(`mJ&VoF`6L3SP61in3`|l-}oEV``wRM z?|WVE@Bdi!!oQNmV#d9EfyP3D3S};nC0=;sbXjH+Ms|8i6_(coHb!O$!blrPco*6s z7_jzd?2 z9oB`%qyVQZ&5eWgoe!+i`Si49N2wxZ5BeWe_@LidI-Faws4^(xPVF<6uw`9Gq;D^I z;|RHk)NbNf==l|DWv)}VH5KuzhBfi84_FoAm@sJR4#YEqHbP2%if4v`5Vc_)xT~Vd z?F{(wX!-3cgcY02FtK zDc~yDQ7Pf>Mrk=M&}=R9>@xMN!EUlzj${X?9|$*~dkWivjXN)RG+~9X7ogx9e8AUu zd-t2y=e;#lQ^}WKK6(DUQ^)fn&Ffyj--j>xWZ#k_qO2#htj8)K;~%YAc#_`RGfnD4 zlMIFXcvU)gFU@`PORZgcDPet0Q6rw^^VL#)rsD*e1^UN$p(DP^>WLx$y6X84&4?WB z?q95-9M+@Y?@xg1ddA1TZ>?3P+|7P?|1zReCccWB4(a1ChGhzWtdS}+(JF(|I;r(-3Xp*ZcqO%6FjK60j72bXak5mP7rS25W8^x-EbQcy z9T)Fd2pBB%aRG_vuZFT)_(#nAKuQQ29MIYVlG4KWr}aW&_fPlA+a$I211i#nW&bRmAk7&$KgC$j~sq^KF^dgwxa$_ zLkcQoXlTC4i{daDwrs+xEcB;gek|d1oP~@UBV=7kQx3k3y-a?i?>948VXldx>;oP*sVZl zsdtDh35F1F+}sRKaSPnBEv80$yyU#4^Vf(&7W^ld~3!wWWmgV*sHA`p_2 zCvlps*cc*I*#xPK#ujk3A@oeclDDMX@T#*=;UF9g%_3m2;)L^FcD?O?dbDr0M8a#S zclJZGKHfmT819WQv8a;T<6E`iEvnw^k_&5;fq_!`P)viM3srycv0e92Ek~5Y`|x$X z{~YP0NuE^YsM^aVCS5O4zA~?D*Vi)n1mEp@Ppq4xh69frUoBx-tt0w-eQV!Af5S|i z$k*+HF>TM7LUmiaiAjVTb}7vEtDp-j%QG0tr^EzP#12jwlChaCpwdjCPo{|A;+iR= zlw_-rB;@eka!&}y!CZ|jlqpJw%r3+WLrlcUvPHG|9k02 zSxr=-Yvy+B#N(~aN>UpN$r^9RFPdLN1!Ph}M0)aA{u!et5Wk|`D3FM%qFS+>n&7b4 zi!0cNGmlP(G+)?vU3o&mbiwItCAdzts?RFrS*`98k(dqA^tM-!6|Rn-|8xy)yIJ3(Efjzs6vh*6j)s?~kb7N#{f$=hZgNxDbt`s2O@$(}D2?05OFt!Y zq}}BCbNHX9PgO?YU=RH>1NiNF{-Yj=DXX0XP7I+oLJPCEhM{!;sxF`SxsS0hFjrEnkQEU?4$T0b0gP?=hD!~ zu!jg|Xz<(WQ>xkB3Y=5hxEky`*WkOBgHKWkEXv&4_0FKjW-@!L&ONY078B>_vbW26 zgGxCGHX2`uZqfc4w8rvTM&xf%@obM+qP5mF<88Z|@Ba2rc)8%u;DD=NU3|@UM0v}( z0JR{WBJ5z(mPnCY9GgiEzTkj1x#Hxf=S5kJMg_lj<3i=CSaZNxitl-xr=wDKJ$K6C z14XX9B6i!74pX@SEFjUuBUM{zmKzY^N+s)}E1608d>gj3V(0wZ* zGHidZcibtn>LsbS56yIG9Sw02F9 zZ+%^x#QfSS(?P%X+O~`VLLH(U&Q=hkzt`-Go5uwui-Z)}@pU7okq?ar-mi*!9FVfG zO$@LpNy;JAgTQMn_=jxiWC4U)-EKz;&Wf!9-O4cCXSdS+-h6zoFknpET!tSk8UKqg zE?Rw(@69aAH&IwOoA>kZ(hg11Lm~@NMmAI!W^>j2jr+g-cJ7D0N z=oKE(kgc;y+`pKh6*G}acN}%8ub-r|#V^w2iLil=+#qu;p?3Pb)D+Ccd$1xJ5nNl2 z^vUDZi0D7Xbdx$w1^!r<>MW|6!2Js(Yz&zC?Zvqq80);=Jtw>BY`S?!7s=lS}`4{|(jig6F`N1i}%n$QaVFc_j;yapNBIq+DpkM@n z*I9e}7}SA}0ljwOSOh86yQON9NR|7V8&J=UaLxwng{X7Rskml}N?|Zl)8q&zNG4yE zy|uhXOwl`u55Zvn&pz7JG2QBNZgMokx?F+jy#mt%c8=pFUvuqLY#h#7x%({{q4K2T z`1M?<+j@xW&groglkW6B%rCq-Jha{MtKFC#qFge5UPPLZJ_~!k7>Kc&lV=GpV;8OF zLNtNfwIvyS7011B$Y<>`i!0i!6NHgN*~ zLo{-U9*vlzgENP7jhR4dXX*RjQ8kN?EH*#u5H~;i9pB;52$ID1_mFVUgY7DCoNI?8 ztte}|s2(XYtEEs&^TnwWEYFZHGs)SFO25@ZXv}b@mQ-11$&*GWNv58y(eX8W3Mo;J z`}pQ=>8NQBdFvpz%_oaQKtYvZDS<=AC;l^)u4&TU-y?q?;+xjccvD8Xtgd*we6r8a zlJnJ~$t8!%nK*+h%TU*-SK~-FqeEjeiU#k?&J~F>HP4*6wH|d;Y7GayC-T3ZTA8kNq)(lvPzv}Zmo#n}| zVWxm(?YLAvFyX$PGe_R>9JZKzj@H6X^7U12)QA+nnV((G1z}$*5JL!bcT2a8DbRB; zK`(Jlm=o_4;@@uOa7;rmH=%!A3_pKM3IDj`uxkX2dV~%s>YGlC>ZeZa(?P)A)s*t9 zXs{tF@OCyVuuvfcvYk<^F4K~vYJQ!gGM`!h5F=B?LL`c~#@wT^rVSs~Wx3D!ya?Mw zvpQhN;+Ezm@n=|}yakv+8J@W;c?FBIhMz^A(`S#kiY?!G|KS%Ue>K%_&-H+0A{0V# zJV<;P&EHelK~a}bpv98q!(NBHBIrMmb@|q7imJo*Vf6Iit|nJd^;A)UOHqvB02|8h z^PeT7t4l=uox%WSuk{(DJ)FU!a=hwaGW5GxLM1*mP|0v0hJB19~fXwwd%Hc^D^^kU5T2DM|T@xQ;x=Z}eQ*n-P{NWOP`$3K8k_Pwvc z{DVEY+;oU(l+P_UISXWCc7gkqiniWkVhLRsA)=>kzJ zd%EI*ZSkHw(~uM3Q!#K_08C$=SB?1r>%P|vPNJl7B}I06+e-*Y4Tg^BvYkT2RDIO% zAEBuD-M{;BXhX2UlaWg*mhdMbthGcX6vN{tx1MxDbsDKZM&;Qa3T?$QNU3ohBYwOX zMGqRbJFM8+*OFm?K?y93q&w-b+{*9)WACt^@M#9UsLS*kPoRaBsbdPp!~QNsYhYcw z)NH`q=j~aQ4aZNDQ!JxdlqMUkDpT8arp7i$~9q*s^HfiNu_R)rtO!ag%VYAD&$Xg5EN+AQkhwbp| z$+xf{!zMu+rD?jQoX+wrMuiFdWP;jg{}Ee;Ih_H}cAFRDV!o&58eAkX_M??sh@4!;{Tl zUNZRnRyY&!vk=^^klD~GXj3e_;2_?KOQ<&}?lB#FH6C0?3aHr+f$omsy1V1YW$*rQ z?*FzXm!%IPfizYda&bH9yYRS?t}a*b&Vv&=ZR|a`5MILpL1|@Sbe@QoasmK#o^2$W zg}JueS3!b3?9<4FZ#Ri#Urq&43wTTGw^`QkAEP~Vug~~(O9)0fL1weWV_66VBTiXz znv~>i@nTyV98a-o3f zP}mEyDXi~#8ELP(c>h*6RUmEufGX%X9a~vyA4maOrIOsoc1Wz(18t3o4TVuzZl{RC zWU9u1e1Ig*N7uFZL1hErb<1D1VQtx7@Hpz!w}>Hwr^nLWdcV;g(+C_Z5e^-J<_0h& z$7Ru`-=WMhgpT3W%mQ--o)w?Ai~}QBg3VjyeMrGs1LHk_=F=>TANzdSvq28A6VBEoj55E5>Fb|2^nEoLqFX8-x|1 zsZW1bg3;*T@k@^hM(+e-Iq3?fe$7ysCn-_|lViL4Nvnfrg`#oU4K3_KrPr&Y|G&8~ zckLLG5?P_0QKsEJ$0yaLkq zxSg2Wl^$EnZ|>M_?5sRv5{r`^CbGZ5>tr$}*LQi9=}lk?(NDI7=0~T(%UKXn?ax+T0p5B$#^V%_uk9U~*?Q6o-D|Aa99W z$7aVm==Wz0E!)OZEvNL97b#n*=cJ~~rnhbS7ZLVNKd|z+nIt0CE%`VH4FBJa3K*X#BK^5g#>@3O(8K|kppA4!*a$?gr& z*GZmD$I--h6o+1)*iaTX<5se^z`MldZx%!0djtPo6IO7LSbBWq-X>m!yZ`DZKKnV7 zd0mP!4KBAx1zsoQd~tqu7NgUe!MOuWwGRLDCWC+W!YGd;Dy-@8s#B4MB!*VHp82W~ zmz*0FlHbTQfHkLU%A+<yrb3%`p7yK?Vt3Zl*-xnuSh?L9 zH5=ZnW(#s7P^RzwU=b!uc;@sETk4kW|94b*!zzQM05ubRqu~)_9v~GY7zH;YQ+^i* zVoy?zNz++?0W~-fn>gPRRqOd`5x@g-rh;K6g!y%-1L@VK41vR=LDJphWY2%?qwVpK zYx#*AV~-Sdv;j!hqzhyt!b@Pg7!1dCKDsU@6E7!Ja~{ietYWaYi~P%`8dk?Xd(PX- zOGOoZ@}%ES;D>EdBIclFVIs`;U`=8QXbK6cj$}jIFsRu}B#H@tJ?qp%nS%Y`h$b39 zs~W>GU$a@v37GyWlu32+gYX6)f2Nld zi=qDZ@v|S2?_WWuPz=H1roZ-a)5-VUuV42Ze4027Zm=5>Qt^AV6iE^)-l)OKxS!xs z%ilY{yh_|2`I4N(80E0RX34iO`x0AwJ`aIhYB-X!-s&hV(X!b=3A{2#ogmz%agP}s z8S+bNOqmTSQPVZ2-WIus?Igb~=8_AT#@dw5m&H6UNK+4f9UOX1Q2cF8E#O;X4Uj8a z)qm0pIDiv>ef>49$Tc9GyGaOcZ1EJ#o~PrKXj@=_4318$W`f#9iV_BUk;riC)Iosk zu?TnOFizv`Eqe%F**_)Qu% zeE$47Qj0!LzWdJMIpLj8;HUnPgXrRYqAOt!TI@yBhQJP%CAX2mifbs8Y{V*V3Sl>} zD}NJj_XbHFLjBn2OEG8yl*s1Zu5dyYv$R4^956&m9NT$?dGpl=!}-Fr5?WIzHdWqs zDsI4KF@K+0xfok$@PV$a%dDgoBSfB=SbDP7e*d@rdf~3A}+hRtVZg4mGy;0QqSa zHqAO@@j5X%=1*kMM4&iTD;B5zrZH^Jqogy3-6_>(`D&iNP4g-FxKYc-N7O(=wglBc zn;LO7vnE`P0f_eYc=3zE1VmzW@1>(|gvghLA z2?GUe1OKCa)L1NCOoqkHv|gwlgT{SnJZVZ;gm<3>=@E-@#$=yVw28@1N`?y6HX0kB0cdWx3-h@gp4+<$R)v`^cH!?`;FS)K(ep1|4WqzHld13Dh-m7XZA*g#e z%uSs`JV|2(#1WrguF6adLQx$OLf^Vt8-MA?^m1Y)2tvt6w<_oUx{bh5wC;jMu@w3E<}24vLR002d8-fL{L z1f(9O(TAsxjt`Hy$^7qaT8e{_Ky0vy+PE7y{qt@CD&(pz%yy&=sWC4{`r%Tb<^f7`vDAiWATgJU5sM6)eY-{V>MUovMB;4DEviMK+W5+kTm9mhV&$M z|0B;U!{PtCk3x-zI)OUMF(;pa4TtH4msu(~xKY$wo!8S;3zqm%&xK5@Bo4odD9nhS zwi0t;ki1OHNb{COam_f49m(7ow))SeX?cx(S77$VRqpeQH--m|_gI6_qy=%hFhT#i zF9FNmdps3kiO`i-`7~cFU;%JKk^DYQ3!AwvJsRfslE;NVtkZjglysg zq+@}{=B;2qA%NVI%oHE6Dc*h>tfn?+MgiOW`gldH<-QTt;4k(OX0Rvqo97}sOFDSPq zzBqjKqGKtk0z4ZH5NAWc0+o?_937H1YDvpiCxnr8n#r~A=7=k!`S2ny=>#Vw{AWsU zJ4EMKRhqIo0+!7mVC2g}(AY4ZAya4#U*$+>ad$08NM^@tnu?#||JiIzm^&^B<5s(& zf`wCvqqrgb9Cf2xxDO98Kz*6cm3DFBAQe8RhKxWhJ>`uvJzX1ku`QLNdon~3D0)v- zDLbP$Ek>jR3TlbXm)Lsn-~9`clrD}wCnJ_l7gwq2yoi_2@`Tu!|9g^1URml=M*{P* zeuz!SGo%PxmK=k0#4z*ZY(Bm!)8r*mvs70Wq5`KKgcDS?z9N;_tb9xO(JEHDe%$%2 zHNkqZAWj_IFp=V+r@@2v67P0tM~Ky`$rB%WY-(l4q*#B_)h4a4(@dF)yw7L$>Yb59z7!S^*4>dkb6f!2m(ON4*`WpHPsvx}0{_RF*z8L zFexZ7L{WS4H9QJf)dr6S^yCFY!UsFaXHwNbKCArs0ZV0Qr>?Gp1tvTrfAcF%PT=l^ z4nxJ^-RIAD;WVp!-=@MS0}&oqz*IvIqCWCBgu=tdig+Cs_J$C`x4c{#r=(>VQ5jlg z`Zgm)ilvQ(--^N&@pz9(!N{Qd4drbPhXq*QrYRhH-fQcZ*krIXg!=8QcJwst+2)|h z2U>YV>zc|dz_@x@;~ha~?#NBE(sD=CQ4kr`VyF+;rL|ecqXx3o#EQDI_`^7w;5niiO-PW|}@e{t`WbcoPm`-8tI*tl?0i1HR7_%4(^5%tL= zB2&WnHe)g>ZOaBlk{#4@9Z3$HSg{r6s!sG!WnURpXUE9Vaq@HdpM4Cpo*wreO5TL2 zjMmDVpi3EDGA^ylM7|<0zx7Rx{b6FN15v9D$;D*&~k-;?yeRa)Xn!2 z@^d#?EgIk`>@C@)o!{uZ8fa*!jw7bW7{=|W?jfDQV&g5?hLRqNzJ?hG6Y2uGV3zRn zAyYV;zfQ1@0P_Z+6g6qDr*+M@D!up*cfsqpy*4t-XaQ=zR#efWO|1LM#X zF(%@7Y;F%`Pp0e)QTH2NJo6vv2=50tE<9|Ox~Q7QH22H;MmqbAax6Kf-sFjqa_lK zbf%&{E$G9fhP$mzIs9GnqlKp#awV5MXy z$X81TM~(tzDch7*zFmtL&r(#MHCJ$*wD+5lAs?fw@C&^knP2KTW%}&xkfup97BCJ4 zRF>(MsK9tatGWCa@BX72C_ZjE1%6L*m#+&Bd5I-tYz13Kx+KrM1z(i;dx!m+nb4hu?1()>x8Z2X$e4%0 zJ%;wCjfyPphNSz=#Z%lP{!I?xcndKTvz3WrV>J$3l`+$h!)L%@rVvBnnzH^Q7N*E( z5dwa?$6+Nya9Ax;-WM^Fhs8+PAA#AloP{$?nS1u0C=3jy%`VNYU0;26&tqmeK}>q` z+&JBsdfHofDNv+L=Q5+bQD@5}1#AjZT0a^1e|LKNMAC$NF$We-1+hk3=uFaIL^)K_ zrFBun#^kWft0A&@kw+d=(G>y?yPfvRDx&PD@~(p%gGL!4LFL%_fV{@o!)IgGm&f-h zmSVYS8>7=rv!#%l!)8;a46x#~N$zvGnnESQ+at9g)}o(K0VGA!PwW$x>!YRj1#Ji2 zNX#FRq2&+BkHp<7I_RvE1npyc2VUNO_scJzJb&J^R9*L# zl(fWE_tkW4*PZmyHmX7FkkJ_@{F4eG?h$o&zi}m2sYaK+M!R~2Fn3J))9iS6Z^#gs ztTF`FRdvj~xk8eLYhajnnCIGM^=uSDP0)J%=Nw1cH*@Butu1`{M{0}im)V<#=#^P^nZ7BAK&`1A z&wts{BehoCt3S4Gh0ru?m16c3<_BBXz5>CCRqQ_QgzP{#FzX3tHF_OMF5|qi9S^W| zZw|K&cc1{Pfcu!Nq%~cFkkg+9X+4JK(D|Ps&%dP!@blFSyvFNu3mnPk7%ie~wH=O@ zSnu#dq^(V0>deQ}TT*7uCTWtb$|4~Ke)kMH1YQY(U_SQhoMmI$sO^Phm~k~QTv>%P z_JNe=+(ZT86hnRi%U$`3_kM$$3+_Ocic1sqMo^mf0c7ZRJF9s*nXrrq%g7JyB`A@B z7I1~}OIF{7j{Hxban|_E5K)!ed)b%KCj~x1Q74r z^A1fPuc4mC6-CzfRU)~e1JTZm%7FrcVFZj*1nl?sll^k+ zh(zEI2H@DzAAR}aSx>2>i7%f5hKnQ=RQK*#N`nOeq@8!}$=WAW4lU<{Iyl-rIIf}S zjWa6N81@~?4YnoW3UAYLk%XfTmIoMt4gJsH2QAtlBW6}mz7grEVRAt}Um;``2JouP;yt0Hw05nKmUjy~ zpp;UlzS!XO%4G7eOdRTuV>G5Vbw(ZXGReHbiCvaP3=a=nOGyMmJ20s?DkfhM>52M- zJFJ2C7YIIhfy-MO$4dQ(2+m81wCvj(t3}Q&)%h&M)3p{rw6>C?d{=> zy-qWMn#BmD4#gwqJlC~rEubbkG+nsIgtoSDQ&=0-nJ!(koUJWfin<4nnIHEMu_O=W z)&@n6E1Pbw>b-{__mCFqyFYC;G8TMpUc>z7M zQM;~Hjt^4{Sn2aBWxqJ9vQ=QSPjHLQVE`sO7?|f&B=p1^vshNU7<5>I1THHx{BYWD zN)h*EwG)jZTY~UqHo;{2G4#Y`LfU#&@`iw~2PIAs^rjy{Q;+d`$bSuGtYC5s9w%t6 z${ht8S-?2-MJ(<|QSgoNoC)oR@l-P350MfklW8`?cP3HT*$A^?4DhysE5^{a$p=-u zdTjyP=Qi&KsZmlD?o+9LRD~|{S#nvX!y&(4m5$4tcnD#oN=e!j`(O&o#3gLmG#mbP zVIuI7C7TWeft|UI=v2R#e=5TTSeYgI&DcXn=p1OQIj(4|c2z$g%oTY`V=Xtu+>)V0 z3l2r2RxI%60mPaLuMfxyM`S+V{5^iANeG<^ZEIg}BwJJb$-&%3N1D+Go{p`YeyWfO zvGM`&oAu5}b7p8woa)+H+-BCY%4^Jm-JHW5kPr#ln~>o7RQAW6|@#j)K}%wjk_ zj4<)NXk;8v@>Xm0bA|2o#vOW6VSSzIpP2o%m4h00j~e-OyAOMs>>tyCE~>8kVnbbB zFZejAah$jV>rDm*%5s`hwqzZ&;c?_QM4_*teg7|e?-nCTlCBA9s%Li*i?~S$*azh2 z?94=jCZj4N@?N6>>eAIcbE>*)yL$Sf?%~KI!Xv^vJ;Gz$BQh&X%H1afLW_V0cmY=0 zl~zJ5JS`GpK}X^ut+WzPXL&+`2L#e0!M?x?un7AvX7-!8`6V)|dqD!RbGjnk&CJcs z&Hl^xe;=?qMe`U*XZz8vj3b?(o#e9{>ZGa|0Dpr*%kplDN04(;o9qh8vskOGT*Eo^5_Jk4sV+`5?*Lf zfvLlr{hsJVJ+CAa)4?QKLd#T#cYM?+D&Y7u4LWzLCaz;qT#F%k*vI zt@!uwty(du?ghf%TZ(!AoeEci1zC2^6d|!(+9hyuDO$PeWtvd zn-rxb^;T4)oC>$pgdJ=MSj(|UG6hdsq=`*IJwhCqtsdsj(Lh++m?O+xGgA`8j@A45 zy=E*Yd4NHxF+)&);3n50=5!PxAp-bugc5V3lF`~#Y-3t-RiO#NVD)9lWB!Hc(@=f{d1uAmD;4h^!qCMrIrYzz@Sck zeC_{1k9N@P5g)U|dx|hJ`oFlD-#)>B{%_VW1+&M|VJI{RaU1mvST9i{ZTnrkhBDhw z4iWC2=cWaWwhC`#g zx$7814-LSWJH8=+)Px$$?)u6hMH!ewWQV=uBoec1wNVolyIZ?&46e4?G-G1#*6^nc zs12wtGi%b_+SQy(frhmkdAEk2YbVr~c>ZtE64<7?I2ftM-Lhb&5|7kH0Y(;UI1s!{ zR|cz{3N2JZW#KvBBMhts&2kO;T-iG6Aap?&wU`Dg1;N#i6thofNhc5|rvd6voRV-) z{L-rch`RwWDubnrLU6G61P_dkBNJ*EU7S;_npj(cq*x3dXwvWQCJ7mQ@F2SO3#}`( z7v)k}3k;z1w4#pan3cAp=BI(!vV-j__VJB&U9I^KFEVpEjhlJe?$VXaMUE^}yltpsV&z$ng;9m7y(OX90QCoLWl z06gi5vd~tc$5ywoxHmx(%ol%f;NZ9a!TwNR)1cfy!S<*J_}1^)0*@%aMgxuYJAb0y z@Y4!TN5AeT${?4`KyDC@t*4>i$NI}S|;r+sYUoKkdmLD|#fd+wdR9)MkwB zn{kYT@eN*N56_*e@X__N7&4-(CEwO^Ab#eLQ^EdYQ#p|Oa=+3;8#n5 zLjBPXBmdL)t&0ozdZdWB(0~v^!k^0&hRN(W0FE_6iKQyhoij7L$x0q&9tHQ@S>D9269PFdkA*_!MIgbB`~{t5gal6w8SxO)p-_1fZG z$hMKT6au@ACcCJBzawX6Kxk8HOjyZxE0FF7xTvrL?-c^F8|Y4bDS-BU6_=&jb9QPf zxBBfsIj#&OnrD_0qInUb&lJPDvoxoCG*6+kLrP(Ee#Uf4P_cy!nzlX2o4QPzM9qo} z2x6hB87$HX(7IYARgqr7D|iHOFm>s4i_lG;vSvO|Lj!7vK{<`*Oji>rXpI)BoT?h~ z%=QVpI6r|U|1!*Ttuqv8X7w=p4Mhd5Jj1ZBYqmx(EkkA?zaGNpQ!tPwvyzI(!QQqy_--rKBHaJnYKlzieo+Nh;la>O1pdU8*m1;YS zo+0$<3}E|H^(Ev*1y!!E7)IYv%ZP052{J(a_wm{29r{#ayI|SS_>dyQu%s$M5*V*%gzV&g{48YPX8;hiH<6N3DBEX8HZdn04jP|3gs2ZAyTxWSWi ztXA=KDJUae@-I=DzN;{4eieNk{lU{7e|KMLzIMB31H6w2Ta08Sw1ajB{7vK>#wVxI z<)pSw88YaT8$3(?;3+5njw*va5`(SdFG&_LH}r}dT5NViPgOPG)GDGE@X_nv9KbWf z$o0ZkyD$eUz@(S<_{Yzcu^exf5DGXtJk-%U=*U@&&y>k=32(&Y(StoVJPI$xS9&Ry zIXKw3N$9VGe!|*oTmWW;Yc?s@mv}>$e>9Gse)MEG8jm&kY^oNUTGTsY)Lw6P+eZLP zK(xQgI#vINKvifjV<+&wH9eGW_4%t`DG%w;n69`b8rB>N8ykW=__lY-TAAv-(=?;Q z;6RdR#0v@&KjAu%ar91|vzvteb(t0^{MX^EL6g*aa)HDy7l?%XzGj3Scyz~*!50Z(N(BE$ zmAIU1=CZ+4N!`@Y&XeV1nLDJx2_Kraq_zbR9rd3KA)PU3^^GR#Y9;^-w*3^_p;kkj zZ+Kkg>jg2E>6cn#uq@I-z14i(116db%-5)|>|b^Nz!5r+vUrjNQ@`@>b==!#YVnmC z!xrx;o0-IkvIp;j-2=4Y)c9r*s=)Rdt#a20$G2feqU{OVQ=_w?nm%RZrR$qaL&^Gt zqavf>jDOYN4_0|IYi(VA!i;2^Z;&?wO-{ib$D^s)FzGI}ZlC|S%KpT_Ig5*HB+RC* z(|ju1+`1WCQ#7U-a|w(rf^_GQ%DXVuK*-Id43n$I>1Sht*x_re7kZ>ttdIx*tTitd zT}2f2KmDBQY071ut4&o|VQ)Si5G>mwZtB>*j-vhugbfX^P^ep~Y3bN8UEJRF(J1PV zRZqqx*lbHFhJfMNc*-H##1pNuvvm+nprBvVP%;i#fTwihsxNv+uc>X=HE|bZb;=4c zt{e#3_Vfy!SK4R5D6fIJS`mxbK8C}>(O=AI!kDpJD{uA}@j$K(Ke5rB2xN4GHDo8I zparU7`<$13Bw`=~QOu7C_3LRMa?8m zPB6oz`k!ek6TYm8($1OdnnedzNP7Lc{c>@&9Yc zK`qy%rU`A(?G6iTm##>JU%S=ADom)2`dLqwE-3?i9>bjcOgY_9*#fM`y)HDJrcho_ zE@d**wUt1y2XqumPuDo1euJ%#=!TDz`VDiiWQ58Z4L| z-QUxO)XY|U<>2v{9*p%pQJawNw9FUl#=)w~ht9>F6fShvrpRyy?nN*{FR~JJm3lqU zJ-m6B2%10_jRi@v z_|<7K%)fMvCE-`8axND#QKIKT?Uv~lDU$5hmuFXbL6v!b^Fb9KTC4q_v$RCcFCFup zfrAwJH8Y8Mdm0p$(z%-`TN0K+@J)Uw{-~ew*%Fiw@!)KsqMOo{rd7R>=oUN(67mo5 zpA4lixajK?KXP)v%?`2Nt*5EUQ@vg)&ryAS5k8u)&>+T4y=pTQkK$MzsqZj{tIU`5 z9lh=HMy+>~0)4H_@s!1WHsOW`zb^1@M7SC`@l|*(BF+rw2>H35-8; zGeu&y)OHTRL5vu2TZ;mD^5Mng$n*sNt-+H-+AyV~_RsBNwU)M&iMIu5<}0zdC8m-U z_eVPNMgOoPlBHn(_XAnT=kDIJqEBQfO{wYoQxWFXsErt7|7)d`dh~tI;4krLIy(!5 zD>_RLx0mLGD+Ob%2;n7cpklC(;>2*2XGpD828y{Q^_>UZfFT;KV*OBm=piRF3|WlM zdJRgq0@2|Y>04#QfVMA|?+<-uo)dx9q*Q#m4Z^6IHc)(Dc)7(^p%>i)d3ukrp+mx27#mG$mu&m z%=mI}?r8xIsQNBVp3c5;x<{zC`eG>J@hW>u6-3FygDCL~S6Z%fABDhY)cs)Zj&J`4 zuA7yvau2#84vyH7?(E3TKzG(T5wcJsH;K!`v;FuOWJ!(zXZyvInt?aPXgXGxP@Dv+ zKPq^^S1w78w5#CGKg7V;W4M+6GwS2d%Q%~piA8_2{~lNi==kwr)E_@S)InN+LMZ2j zf^9f-<`KjnFh*wuNj&m@QU%A=tuCap4sAx(#OsJJrhhu1YV{t_jxqlj$NR1kBZNV} zfE}f`J}ND0Kl3G5r&nF0ZqAD>5#Jig$P4%IOT z)t4z2$Rf{Oj1UvevIM_2>ZJr4(es>cuf_m_olK??OfjR>l)auq2w1%Yh#eKsqSupO z>lM1iN+|NpB_LdiOE$gN0BuI1-mTWbnq;s^Krm0eXw#-1b@JA5foXVI%?LjU%Swmt z3JvlFOVf)iBIeEolt&+aSdrHI`KZT?eS+IEW>h_tqxutn8ja7Q{?AAH`yxV{#6qFh z8GLR=bPH%&Sll?C%^(hMzBa$<^74kjsp^C!Op!n1dV+N)_;E~;n>oIU(+pmNIkQ#k zi=BDxf1o}%bgB$kohXF!a8B-o9d&%k04K;DV2o?to z5J#fUtHWr`W%ZZvyO15P7z-@m%^Ns`3uzoMuWzskY#Q@G^9b9PL6-v8O+D0A;{e)l zu1@^dQ*m=Roz{ejSkXaTN)6L?u3;KQJAE-77DL!3O+uXcdLaoT#T)Uj@B`MoXpS*` z+^iFAYQKQfWN8?DVSTp`qz;vgck6mEB3|eU+<-_Jo_r%0nMuE^!;#3A!~@uKYHd5O zvE{H8vU$}~MI^D>BS#U!IMa2ElCC=R*S|^1N9%kLL3Ir422dJ`)nC=EfpMr+H^ibH ztqMPpBB+%VaC_9#M9KmLNimEw4!0V{8~IuzRLav*lGrhCJYZ>IkRHef%_WkU z#mgq8g?-t;Gez%2h~il*w_mUj)MsYG;nx}e`rN!0F5$V#x6(fs+`#JdL(f0@POWM6 zyE-CIPamHCG@9P1ZGRFk<4dp*W`pSH=;85C(K!9;gC9@;p;BRgz6mFg$w3g~lI=lEgd7Ei_jY-IqY&Fd`BY5MaQx!R>!VQd&jwJ9Hf5S(;N_ zIlx;rbX+D&eQhZQgkNev_>?2xpK1qhiYY2}NE+Os?4(M?k6JCp)tSJX50#+CD>?$^ zE4?i;{naxpvxsnu}yzsG&=+B)Gdfw1HrgDB=)shF=`!tsZ0LAM8USY zbby!d*@XpYew3^W4ApN6q!wHe1Hp|&^|&*w-;=Tz(gcN>*2#7GNPYE}8it|Vge0d} zgXR~Y-|YLxxM#eHCuxT9T&hcX9QAG>3q}DKT*v=#)u@umny@8hAx&0p)z?z7!RHEb zx1oly4SJ%npk2Gp)uKD9Gq?7#v`S^5!i)$j%SSx<8~gWXfF0~*es!?ABa>R@ISzL8a9PIY1<`HLUu($J_s zRbQ1l7H$S1f9%OLRS)&2V$Xn>a6=s~o>ElLpN|2rxLpp+TF6!m`_n;? zb*^>|$CKB983!JScS2FxZo=CcGE$Ywc|pvQTJ1#~TqPkNT*SYi2w3;1-ssBu;09~s zq8EJxPGy(}@ac0Z6qk{X=BTw6Z#0^6notldfY#B54HW8#j>Hvp_%1H@#O$fACjuT%Vw(VBi59gYh8;llnf{f@3VRQvU}yR-4>{M+5hY!ZLFJ3l`; zQ~y03jnw}pXUE^}PABmDaYFxlK7s$8pX#@*5tyNU4d17PXv*{jBC7yd#l?b$L;nH14_^yga^LhG!GQa1H^h5P}c#07ZhCW4g5g8*>$;T ztQ3Ies8)cJ5f0pfvjh@uVaN~!Z+Vk}s&hu9nTb%wuq7Cn!ZNedsT>UKQ3NZ0ro z9qoG3PkE|KPX)m^c|XR}+GmJ(!w);eg|d|v!qp&WjhWL4voguy%haGN{ZM7i5GCIS z5fs6P-Rs9z7#l+uYifxGs(C=~~0UrHWiv4(Kc9-j#&`*8} zww55F;(g)$y6TWL&#es5L8Q^<_3&V(6}|8jf|@aMdQ0jAl4}$P(z{=lY%ziP<)fDa zw|1eGF_3H%Q*EQ)Bf%j;N7l94sLn_qI_i%>Lue2Z5z7f8pJ%eLSH_xAx~ zdjM~4Z9%xOexS;J zm|-Q{a3JU&S1GZako>XExWm^G>&`E_c7E}`JBM^`r_SNR@1gTi*Um@ZL+9hJosYkV z&X2lwe)K(be%!V5@Qa~z94+LY&(j=N z9G!9@R~xVkigna8qOd&?4Pw^&<9*AbT3Fm5se&bmSP>VizvbI1UuTV+n(@mh?2H9c zzAek1o@;X%%mX`yUKy0~^U%#Zt}9H^#YlmwzqYC*@9|e@Mh=*6^NyugIHrrGG4F&_T3^RcJ49sJG2Q+_ON=viyZD)#p`$x zCO_amVX4;)d^`-)7x~Izxv0zMIMp^t|D>9wW_AL9ppD{!wX~t&V7ts`-XK&@$y-71 zw%Top=57srB8{&4C?TSb$sLZ$9x#T8bewwjI-;%UsRY1QI=?lzTTQj=r~vxE2f z7_AEJxKP~<@(rVM#I%fC^~7OIW>T^hcu-7xehdkd&xj;J6{=KSuc+&UVx@gZDs1 z+yxz3QjUzii9E{}HxDD5jFygkD*q%YL_2^e^c-A8-9Vmt=ypgi0t8|$$}q~nG;xdBsuuQJcu3C zK92%%sbWiyayuh7Ls^p2K+>U>F&5=zf-(G6Jd4#JFJsb+yE%wHQJdvckjnsNjanrL z1dXDVJzK#JvMtCynFeVLoSylafJ8%WPP>BSh2awDo;fu%nR60Hmn*BNfaW6p8fdv9 zlHv&<)#>|z;C6zTuvJ1#6qhSV&rQa9Z+CF~3;@)>Sx|rVNgW(6ptpABBp}opZLgtw zC8Imu=;xmuH4W8*n@}@ls7}_bQdMYsOeJ^O`0Nz^e8T73?f?8B1X8MqQPsh|)$5&D zks1L?LX2Du1ZgF?;?MShA<1HytHc2!Y0pV_dQYfP0A2K+@I;8~`Z(WFp71m0iF`IJ z`!NRLL;9IbuO7(+SyYz5+l6ie|AfIZAh-pqjnoQE-o|iblwrrvAd0laJxirBt%4aP z3sh7`=z@@{FN5bE5Z4}*+d_}ZC4AZY0+9a6rfe+wc~wr6Rw@(2RDUt(#A;%kaUTn7 zl*Gn+Wne8Mt1=5EqidIBt8l%qA7vnmNo1-p@t9DDEIG< z;32sP{2B;sPp=mB~_wLEkqK+nBd9gGrPFzPKs#Y)61Z$Ogxdv@vAJH31bmDg0=P znzb*7Fa0m>f{{vUYk2jbljjv9;>rLLJv)Hq4=S+&zDuhkP+g)0usi-~EODQkWg)r0 zCy>+!AO}p@ka_PAOT0>Ey2u?dUWu)+Gn+@@@(Wt>eONdK8D>ru9CUlMYr2e+i~@br z%LuF<0z`ec%OF9T!z)&AenBv=EG^^c-A+A1d8r4?^nF2sVl#z?oDjl-rfN!HdRF;|Pusbq^aj|_j& zkY$A@f3s7EmO65P7`p(>acGeStzZ3fC)V-BYc%5qwK6ZZ|zb+6D=P%r>8| zhs1HNujoVl4=eg`)iUtBTqYF43?rrIz37*)I_azFmH6*+#q~%0>t_CF+C#0kYqG83 z_eTUZvD}EIv@1*Z#i6KlaRtSI-pqNs2-n%(NS;o$eIAoj8hfzK(Zw0UHZRV!@d0sD zV|mVYQ!OhdwSutrLQRFTX2}*2?^?b{=79ofA-&lLR(ta@zx}-r44qQcM{hL1k!h#(k~jRhkzXbOhl%Zf*5BFXhygO z%4Wt3*P6!@ZxJ{~UPS^PQ;p$p?Lz}^~(|G%5nJdcL zWR+CRQVm;I--csAGt_#Wo6n1)W-0MSI^}lrT>&JOYL4KncpS|KngHan6N`rZwe-xy zzBVKWPHo(jl5NW*V>~!Yag^1p6+TB<%_U(Iu3-k53y#ci2s|y9A7rS+X|U^fI}rEqceHsokG0Q+@{2oER?HbX{X*$Xoe3 zwM>rouy#8XK4}=aHOFQ5p3UqRE_(bz%X}>o!M|ET9Rt+?fuZ$gM;-^2HoQ>waC&7K zjXT=kP6SR{^3uePr(1ZF(BYy0yY;(W0jzB4yF``}Aq%ynKCjjcfh}z*gqZT&wP9&+ zRD(ZF(yQ7O^IqmEj18<|jM>$40H_|*O{(Kn!lp%A7OYx3M9}tg(o@euOU6pnbP1Up z9v<7BwKUvfWShu}o9(hlk|9IGDT3l`gzS4BA$-gGa_B!EnkXq`M zx{8C#&eToxONTyq(ZO zv0Dnw5!|5Q>qu@apPU(VXDKaUwZTa$Da=ZGi?(Up4QxQW@-cMR?E0H1Pp@gSYb_Ri z0ZifNyHeSlH?1ylx?aYUR9P%iA;m6kfLM@(Djx)<5BI^5Y;rX z(S21a`8ig__aSscU+a<{nmoqq_8dmIHOqdhvsxJs{DkBY2 z`YXB9hxilu8MdB2VG00kde&_`Spvde>OHLUs6Rd%gwKPfQ-DLvAirEZf@A=0-n!Ek zn#%FvS=1k1DBqMQ|H|mXbcQX$T^3D(Qwzg-0ZFwXG59<4y@GwSIsP}B(Jxu3+xU_HKJ(Bu=SrhDU* z)NpxZkUdo!pLcFh;4a9F5ipFKjh1**-ng<*XW5Nkn3=p?rW3lHDMxSr4918SYQ{mj z3hjR~E8k30N@-8sOd2{OCGrPNQZRqvlu(bbo+@7+!jpY!%&{-2*~ao6X6uo-jYNGQ zH?Yy=gh|SOxAWOX&2WSc@tT4+pB6XoR1c6Qjt4EO9We$NU|y_LvHC22w{tW50E~>) zV*}U)w+p~JPf*d$u1$Oea0Dkn(5c7ucJqhGpQ8Sc3((b;Hm0nM1gZ}h8y_B@A3f9z zB;*8#PH9k=&6PKn&g410O;93=;MX-Dyu7m?vw}vMu2QuJaFpC75;t&edy!+U>VE0L z3PWexG7g_-oaVoA0Q!>m-u><0dvGsCnjjfX8xf6c$y)}PZ%pHL9G$%vE}HiO0kH%# zq=tScJct`idCxq5p3iS-clPD^>vtveLwr_+PsU+cl=JRKFwu7DzlIqfFjPPzn(#;D z&g~GLMJ*LV8ffC2(uJImG?VmqcWVSoFyY1P2b_}=&W6sacsO2RWC_}Q2VP^6p*m23 zkJQ^*iw0Q$tnThf55CSd@(7S&c(O%q1ub>pW((!w2g9~QBCsoQt8UIJPPUZp*2D%3 z*fyBtYqxpB0R!|N!a)O@1apE06kjHxYcfD9kU^=_79+2ENgQzEvoUt3d1u3seVZd5 zu4A6w&VAkK8oei9jk=;1BQ#i$ht__e94Ya1skYcQ1nk_S zpa40;A|?7m;c z>vxV-4%KD}IB&`AgT^&aGC=7teVl9!iz>x2nL(s2DujFh(HY84_gQlD@1f5EJIXq* zN^(^&o90|+WdwEOKtI-tC(*Or#sNONM@}QPsawob;W(ve15d@E$^oFM{}GVp7BXSC z#I-UM#4FYVI+7(#O=P3)7%ja(!ysF!EG6#hx$2uzb8c4dJTkIlQ0iP;ebrG$!HKc_ z)gSpnFn<0@e_keoWnsu_A;S?4Da|Y7vdN<_(qy{^1fh#!a?cP~9*MtR8&1+SnQm^5 zdn;}AmA+MUs|E>od)=#_#`kJ)Ty5|u>VK!s-DERRcFg+nj?MGI_G{wF8NLx!QqY5V zQU5VAEJ){15G)X3C5WF^q^IIZ&S?8GpKq^Y;Ww{RU^!C1vWeK!5u(eqq);Ake+xV( zAg8&!POxA;jJ}|t57Z($7qMUhn=QXU za!kr@T&HEC=~>ZO#{H5<8GIrHDu|2c3A*TZj9ORnJD@zLvM_yMy*4@x4qZAk)#&7n zi4W!?<)R$I4QRFVhI%8qju3K-1FLpRQ=1o;b9MT$w!l4y(pTPjIvuo)#p{$dw_JGv zaE!Ii3yOVIuQt>D3o@`uLuY81PjP?b(cseV1={J6&kuXidwWIK@l`TJC9bxq@%qKF zyj@ZKbSa+}EK5C)Kga_5>eb8UQD|t!bcZf_?I&U{srf=CS-vQ1Z^ysZ+^Gz&tK_Dv z-y!&dU+5rk3HTrUsl!HqP;w}V)m1dX@i|x3Jt07p0IUgna+alwgiqe^6Nj#@X&J>D znuez@s2f?HU#{W;$F8j2c(I`WDs)tHMn?swt-|BAZI~u>3kOaUb+0kUgQ#`0^{%UF z4Z({Wb$lX(jfIti?NzRGRV=vX3R%0mFs z(VeBQwjv~y1B=yUWy}lKxgJEYtV#aSa%-w29cx@F%!+aOL7Z0ZyKq-lmv~e=HZ>j%{W49S->rSx%=1U*5m5=KMnshn>rYuK&nPXG-gDM7xJacg;@ z`FrctI>@1A?-q}7m(HMW!*SvP_Lp8DHXhi_Si|B@je7}7^xHWg<%CY?)#*ItfrCIG z5Z4VC6JY)G?eNFGw&6>njnJWH>)3+}UrS|Vh=aU1GC+s?=#~kHAg;*OacyQ{sSx-h z4~`49!dXsAPlFlfQ^bRHEoBp5vp64wAWIZanJdS}=JarVeqXHc9tFy#)oHo{hFjgF zR&WtfU`#Va@eB%uoM7S+M&xWTSpA!u;fV5hi2qg>fNKx1W)0ye!&4>nT<ueOOuDBL&{INhgh`rzga^T$_AKe-4KY07kOmTQjvrl+|&{ATxSTx29_K#k60 zz~b^c@0&;G^n)|zK@(-?zs+K(DHLoxiY~LHT*kg)fd$Mx-OXl8^mHM=oI##5ODRRx zr+WwOw5{>Fyev|)wZ7qhBSVHcA*i)VV^xtwCe#<(rL7s6rSTMs8mAzIbD2cF)wjFZ zshZMQgB{fts>ktK{Wq{h5X1fZ8jR=?vJz!U|I~(es@`#I&VbM9pYN~p^&*an#Z8}%oCa=B1Gw8-yQk;sk7pzGhtZM6L+V^9p{t67S>za# zOZiZ^#!P$y(+ids{o4CE{9A+eC~VLh!fz(Ksb1{A+h|{ln#fjH_7(d32GIHauuHql z>%7^U_8jWyDh;?-4KO-{ToaZrkYl^3~q%a2Oesxlc(H?ZN4VuSj2OvyMt`QD;#~ z)!N4fOi>3qfR4bTA|PchhAS%&;sS7E!p8#y_ZB=e{U@7;)z4S&15qArzl$#4NA@iM-?G+P$Hhj-!qNih2! z;c;+O$L#Az^E^6VchGXPsE(?Ytyi8o0lJw{BOh-AA_O*Fj>FExbc=QMpM4Ojq_Q62 zvv{oxjCgH|lv*I<35ttaMnjXV@!SC!VOhWn!aG~R4u;BMBoIIu1-*1(fV4}CX& zSb=W$7JcS6#5MweU5jGRrZ)3RxG4~fsI<~<7H#56!@*F*9hy!+v-p}zQ_U>sU-x=^ zya~cOfwr2WJ;BB%8E_LOoMy4D+27UYfTILMcAdKuJ_xS`pA|39)bU&GL;OK^Vk@{z zqRR51%8dp81_gJWMzGA4;Y|>F55=$k0vY_7;dy|s=cXB+ufE^^?ZN)cbfD=lJUoqF zrSU3_J_eDN*5jd`kS^w0X}xFJZLuQ_oxP!vc}{)tk8tO#P|w*{WGusr(eV6aP%rBR zTypowJMJgn)v=>+nz5>irLS|3P#1;S#1GdlvgPlXZNzPNI3(@b3psrAZBkT|(PIdu zkBEQtZ{xb>QzP3=1~ru*nOVrD|Q9=fDM4O-s@?KW_%QhCBN$cn&! zilpi#U;;r!@ETZPlr_Fwf#ELO)y|4{tSt~t?Qg`52N>N_*>CTAQVCeJ+fv7)DR5MD zJ9X}H#&kPT#0GDVk!$!TPf5p9qv4?7MrTQ>++XMh(mUv@>iOk_<5ry^jy?8oqCHkv zB~wSk)X0-h9phdZ;3G`(Dl0Skblrt})T<#dMP%??S5kuZ;vgC;6Mw`Xv8aFvS5nJi z;5aD@ZnSDylQtYNb4ZBj?TFSz&5qwjXvjfY%tcP9W>A%Ak1EJ!94 zrfD(VrCTm)fFbURi5jkMSPJt_FOxNdyWo}fkdQlB=jx`kFvJfVwQ?#v`f`Js6&Sw& zGhI3NJ6by8o~S>MOW??r*AQpqYCw)d~9>_A8~x;Q=c0~k+?$Wn+C&*S8lyHGrJ_Zqj(5+hM>*{3I- zS9$3+Eokh;juKH&u0}+Gc9J4U9S2J`UslUC$>D+>@gPuaS(g^*&jxIN--CC1LZ_ir z_O>4eK!<9N#MTp#fv*E8E{yuU8QoG zJrNcC4d+=4LF)hUprY$)K!#Uwk%IaXu01AY5EJk+26CV1MHZ{=KwY6W*38+{F@jGyx)7Nr1wya2gjAHE8u+5;Gy*mae~}!xs&^^ESTi zdjLjSvSEULo5)>Ss_qTsHrO~VS0vD0ON$47a*Q5+7`-7Pan+|A09T8$`)4uez}4_U zgD@+7DuyweD5t$04KYH*zu;)4gOYGWG>!(CvW>Iaj7EqxfS&@9C_ZPvuPP}%mn4Ah zH8~+41!J2cW`Kv$hfSOS0Es~?sQxG&CV-zuhB{k>Vj+wi+qe*%-JDgNQ|hr zrRF$wxTX;Bs7$;~(9^*}-#G^5Hc_$zhQH{M@*rR+d|R68b5YxgPh5u2!dIx{po%e? z3z`J_6-Bt*poHKS^-H@OxDteuT45F~1z9AN>RWO!<36o1Sfr6_@Dclb?z4P10VP|$ zx?i?~GX>7|lTbw7lE69um9#A4B&%mx2+%9&Y3FKm%P)RIJ8^(yq13}FE90VPHbH9r z4O{aC@!(glWcmq;Tj2*)e4!g^CcpYZ~wy}i&!vb2L4n^ z>>ygtB^)%9^idVLIN-2W|Nmx_)(6Tu#K^QdNOmLac=ZOkTe1Y{!*kBoWe#6@tcJ8s zw#yrFi&hstHoB+#5VhWgTnq_Yjgr9qxWqp6<>W+o%TaVdKsW*OT>&|*cLRQ{WgZvd zDcpzy(Wz%9Oekn@Y;5JRaww>_vl6DV1Y&y9zKd6B5`ioPDF3WcHqK@J`bPquL06{$ z;AhX6M7vz3oA=JZ)f5&Dx&vRMf!^c@w2avY{4<+_(1T@Vo-MU!5KMB^L0!XUC$T;`aZ-J^VLocmcD=(V^5V^}UkJElu-1suzCI0QQ~@8DDydipV;-`?L$iw z(U?Ivj;@b<`ws=y{~HUqD)MXTK78jEpU6E>!8y?^pfb6)F)o` zHDp!3t*nqod|QddR@o!qRUdvo=;=RxP_+;%DiosH%`L&Ov=v?D8uOrNB0~5UYpblG zYcraYpLY>|Y)vrMNF^4KMPxIR))9%pnHQ!;PPPY2gNtaTkXIw!!y)M&%485OqVLpH zT16$ZP3oA1wR?3*96ZC6VfmanG4CW$UB>Z0?678cpuZ88b(!Z`^oXpPIw)*|K%%*? zGGunVb!Ks+9vSXIr38Q)#V(Gj| za#`fNpJTrV(UBwIbYLLIRw@u8X`5(#5!lZ@>AaWK2zz|djB))1mcL4?y2#@h?-jEA zgoGLZ@1)twbYuh1w6%n~qHI-!hncz4)Rg0O+kpW}Q=E?>&e4aEP%qXI7z$PTl3nqb zcw^M?R{}@(`0x;ZXe`3PJdR+ieH?wG|1`~K$#0`?ux=GE`K{V@zd>#k{->?G89`k0 z2r7oJ!5f7oOs$Sihes8xu$E`8t)Owi!u}I8ArMu0i06e<;S|06KmCE$CX4!7)otJ) zhIsKjnJU9&b;F`^Rsqg&sXrooqm@v@m4fjs<-=7Z+Ikq6>3_9dlGdiB1OG~skEmzF zW6=HjbnjMFj!>AI+StZbJhq3Sr9iMZXvbDWW26Wiy`$X(?->PLV|A< z!}pDyJT`ah4-`)qjUClPq{;I~C}r{DGSatZH=O!U90(_#P$1R1RKuBWwWfriiZI5I zG9H!fuO2U1L-Yx99=myxMVGPu5N4@bWCHt9$qVD4^i?qLV80Yo(B6i#@xbKzrtv0K zhKANIMC%78GsM%c5ge_W()?!F5>l<`=%P9ddH_21bop4}yNAgEbCRP1Weil4u=oGb zk9>+D17@nqU$!yL)WLEX3@RNRhfx_^g*a@E;)&=>L2j4oyFsHsi@Or`gY;3QpdG}u z0v)2TuXtFZsb$&6sYA?uK!%EuvZbDSr3UplAPQ6AJwkG!SvIFsYqjZtws#>7>5lOd`gw8}J) z$nBQmMci|sb>WA@Ra|5P&cjZ9{CY`pV+cBcXt}!&#%WRU{!F}H&!>&nPr$}d+swAJ z>hG_2YQr1>l>g#_N@)Jp1D|ZV;<_x7d{M-kB|2Q10TbLc^-2N4(_}*N<@L%2s&OqK zVY+3yGji4fit5a*g-81XH$>h0xC-zVAsAYb3*S{T#635mqEc zp?P2y`*D8GzX3^t2%W<|2tw*+TGVR(R~?__SK%@jGTntQ!~2=_WpwA~SotzK^a3+( z%%vJ=@v0HLc+1&wSN{YCD(T<`wZi}tkXK;u8}QFKsfthI+wQK21K8@rilsh03svYFA(4jK zLvG;;7A&aexPFuy3epS4ENH!Cf{`J2S1%+(g%|@MzOTsEaMUl} zF2Tsr-)7AOd2W&6R57R`xwW~X-q^nS4+5ppY~c=cz>Zv6Y6OD1KpmSswX4Bhz{whe zoPrvGI{Ssy{PPd00G*)33eW84Ul@AZP9YRE~A zgoOw+C)(--50n9srHkbjqX<#|!{?s^&7eM)*ARRe0&gk&#|6g@M5Y4X)=E9DnS5p5 zpusO9Ky+o#;1AfwvD>OJV!UnjyPdML$Czu@ird^TMvOc4n#Fr|8t)c6b;|{ItM{bs zRph>O_ZzQ79(kBC7U>8ytbPmv-~d_{TrEpiIH)cvsnKFv=8xtLHDF!oSb4_@(s$5? zIT8^ow}@SXJCSTHxyG{|iv6J)L46cBk|#if1PK(n0DLMi9JRe1wmWnS>T|io!~cKcsSGoMjT^E&Ugp;kRt11TLqDNw5Ir?k!#W|*C1EpN836S+(6orutQI%!j>$&{ zPL!UV9$u%mrQ4r9s0Z@Ixb!0q*BgGej`UW|2@in1=mrgxcCFSNAj{CLA#yas{03tP z@&Sq=nv9e~7S%dZ2+eNuYqz3IDNX7)US$&i zOU$=qWLcP8Jkd-lR+`TgMe;88>g7|q*;<1D8bg@&kjbml>7^b#=w|8b)x(wp!rg;F zQUY6`G5GABuIF-BB6RNd&*4fbD2wgFg=DEsZJ71q%POUv45he%>TX^F z_wBuV=$z(WjWWl+U*Uhj{Z}c(Kd{_nmVn!>qq_#Qk0njNqq=$U=1MKATt~tuV%`0? zSWV($-~;kM3y>I8WXjmgK|fI!NV#0>cK^ZyiP9LjhLIUh4e8aZ$8X-4$X?w!RJpN| z^Z5`>L;VZSky!nYEFD&?#T?YE2B8tR|3gI@q=uMhzjRuawarGvJkyWJUbI|e6+tU< zY4c=KfJ~XCTnvU>284>DFQj z>ikqnZR{g2A}Z}F^V!UmdaaHEjMt7w_mmi^AA#fta`L)&RTZi4N^l4HJ++bs1y`cj zqlv6DSZ&`UI}K+Nj_}WH~H`9_whNBi~yBRYcf*tI^nc_Soc(FU&0>v1!ut{GBZIIP8*jQf)i5qDtN+Bm9_ z0}iE_;L*Ui)~u#9Xvri1r9Ehq7NIERC!K?lUhPIboWfe8V$U0HQ{tbOFaH?J)3k!p ze_czU9f$CWHP(l;JWR0sXiu(p3$q#QNBb@e5zo{4rV>p5ZS;+^{t)0I@h*MMGiVkc zMBgPYNKJ4z*7vAyw2_HR;!Y&+jW!G?m>t@8CmgY-VKd3|cW^+DPwz&<9azMj3F5uL z26|F1vl4?0!Bq4(;hBS5E$AN;!BaQPLhCE>5Day+GG+;r$|2k$_^|R~lWT#;U|^+; z$xMDT-KiZTjfpjaxcqEvrVBmSG%i3tbT^Nukcn;PhO*9nHp#c(wZ@CQSFL*9fGVcm zE~iVh7AxWSDnp1J5=4iK*kwnOqr}Ih2E05#oXr7NpDY(}-K4{No@4x-~ginWGpwu)~LfE=`a za*m|r7xyD2*Cp#}4XDFe&0aK7%OVb>Un@{|ecpde@|n@6X@+t1FKsrq3HMHy_x5mb zJ=pupXnYQi$yv_}^YcKs7DrvgTjJKx2YIx{s*O7!=L5TWlS=MyP6gP{t-^(Bo)bAHS#WnG+^!F{pGcWiZGCb{GUo% z-q!T6J!2nI@XfV8rCNOd{0B|RfokyvS26qwj<#I66E7eL3&X-+QjkuALeeh9GLl)L z?yI6}gkRyyPqZ;IV7h@Q1FA|CmTNo`*EuCxL0t>Nr{m0v@IkO$yp%N#_v&K~U8uYB z>z0Ar>)IRj18t&4O^3}i^IcOjUI0pI!zUz~8}mvV`zW&6H}P1z#-w z-hRIu_S{y=?E*EZ0dgy+^zHz9`GQ^PNlvE&Al)K4Jxxou3WRw8}M+yBC`P(6k7D$Ko*wywf88x1Bd9Q zO9$qJ4(@^7A;z%EDva+uY?0OrfQ>ujj4cpYAdW@bRiv>)IoTayEE|JrGWy~6bcMW=X(Cc_z zFAHMq3axhDaXipipKqp

      |}ti(rcHb#r=e-(f|47I1GK61U!z3jCrz4Jhm>LTEtz zw2HOu#Ve>Vgm7f69M$8~QT-Z9@=aC=Ddy_zQ?9{h@dn)1UU%imDsVYeWQe+5RAspM z6CnmSjkyrT%7BbrLj4%`r&&}SbUHu=@zXi%nPUZh8jcS~hi1ouJUYBNb>NjfN0e6m zLcI)hY*5g6R6>L1uaO~13@{mJ)~_rzWonPS(kZ$bfKSR1P@92h8qrXCtQL0=$?_CO zO3X3xbO;rRJXwoaMkz0&9%B+VOHka{KorOS)3(SrF*f!VoSNP*kd={kL8!i452+ek z&{}nP*brq8hp}De9x=`<0)dDH7Ue7)APQ3)*{lLAt~2#%tWtW(@n)lJB-r_k%&X=j z`CNRH_@nAWIZgf)am$>1$5wF(gSIx*3DNgVh&OKwwS9|R9<>k{7*ixx0C1&73lf`C zeTAT@#AQV;c#m|l`rO|X0ykO`>IKbnV3-+=f&S9@I7j27s6XyvCEWfSouqw(d?~#u z4C-X>WMrM58JSmpUfPRq`RQp*;N(ic(oIgz&|KT5Pd(PGqTMo)!sikB?kW|YPFqJ) z;5l???+K))p@fzm641HtC%D{B;1oRms~N?iu~l_yv4KuN{fD{SKl_i6%ync~27dBE z6QzdO`z5VLTLuNs^e>^EQG=kXFF^yJlaPRu8h(BrWqkHM5(K#duOQ`Ty%3o~*Qqj7 z#HN3EPvAiB`^c0f3GeRQP2Qtf$b{e2jC%ah*>HSbqaW*(W--S{pjeHBJHi0oCj43u zw&wDt!D2n&l}Vo1Hce`Hie*0h2<2vRaUF3ZN2Zw(G;)Wp)=34`deXOlv7?}MY-~Qk zV&l_%`?R{5$1z+J?(KixhWg{6MCn0p}*#)Yz#0Q|AU6wVt{<@FCr25 zJHLaz=$*tw<$1iSp2zW~NHfdh_5SuF2M{C)#~gppde7p#)fhE*|M9n*w)6M`RV|GW zf^n7~1(36j)zK!sDX_9?Volwv8@**mSCDJ;gzCHzM;2kww&yuCh?@Tb&pgelEIqjj z943y6bcXQXg4C~Izj%|r1!b8<8NG@Z%1wU7gaFODWe6&jo?Czs#^7g^u@bL-59Ryf zEfDuSCS;BpjGz}|Q!U>lYfntf1Ws}IHflz+D3d8xCx*ss3maX3`P(p%TR_klk zoT7>jCz8d^Q1?c$AzAYWvuWYQoxn&)#{p?T6kmry^h~Z&J%IY2V2alz)IAZXiWHQX z=7lolL81y=4W;tLr|Nh|{7;r#B^j5z$#}p@Ib%e%1Lz<4Mnr+M{^fwL;}@H*)0Ntn zmkHL}Ld{@GR;&3&>n|bM3SgEh+urC2OAM*60*Et-4rra!x>IzW`ieiouQ;Ydcx^u8 zH{b|@-}yxUWu@k0N?x5+-aw~$#^pSn-Xm!{Kz1V|pBn=;%e2^n2m`u5_^Uob)lpwA ztHXNAe|S%$QhxUp)$A>mQ$JJx51f1cl|4jo$`HoPdl(RRc!f+HL$Go)v3SsMfhL$w zk7k-EUGQs-9-Z<#jib|J6h+^%Wj4#VhN0W9r-~!~D|PAbNIdofwd&p`x@HSwiGC5r z(W5b~^-(l>q_wg5?X?X6E*ie4ahyFm(gQJSLIpC`HjjcXdS9a$ouE|N2@Hlpuj;># zBebE99#MtJ-~CYsy3ncmnl6E|LLa+NpsFIyQvCRMUA6HSUSDoYKWqoBdKyX`*B20y zP*q;BTYHVcFJV+bOH=UuVtpM~ffVSU&XPGYesZPS+U>`XRBtp5{3O4I$X}n6gmqgO z-feE`!#^Lvf3gXARd`R8BikZ3-u756ePdhdmH%0^pQ{WWk^)3B+BatztATnEwFPF1 z^^FY`PN#r9t1JzN35`&T`{E-jP1IS^qLib;95#%;t}=(cQpQ`lP*443o}pTH;=mvc zi75u(&q)uu~_DT8!;7myTX3-4hbtuH}<{lWew3aCGX>ab)o%30AVR zzkz=bq9eKvokoZW&gBg~wQ^t6Sg$ZL&Pr_#v=I}iYavl;!YaKf1EimUVLjbO&(m_M z1#^{$owN10qgv@W+bm;E&LDuRhMAeS6X)^uBOA+^pIxnoh_{UfV2@^bfiEi#``kWI zM=@-h=4$@$pHtS%E_7<0H+}dpo2x0{imFM~9FXI?r>0 zuFB23n`T#a78puCAq>~WvdhHvpR?TZ2y-tc zhq#z7ZvX?dU@uiuPUt4I(V}arsb@(~v zdtAYu^FIYO+|)~16jTp^WR(F$H+K;WHMgJp`fY+sCV8taKEAtj8x_*I+z3*(O^b*@ zbvhEd!0O`a6E`ei(&>*Dw{RN<6(x^D+i zUjxsH!U7J@rX}~NQLJlJ}N3CeQ`L(G|Es%#jRNtz4brD30 zmw8D1ZS9b@d~`>`7K2JTRR8a6P!AQYEx9*9gz<^T$I>WlP=f%q-xfjNdLf{KPtB6m zaj}p!(ATx=x-LJXp%5J?zJ(s*JB>avOBk4Z>mg6FIj2#~B}!6b#NAiiVsekOAR3MDS7$0YB|IenR{(%6XNDw1Uh}~- zy@V6mE#+w`;`yim?Zc<)QC{=yVodD-Xh*WSLwB{0-`*7+WV8HwU0bFkE~&7|Ha=)Q zPlio~c9tG-5LP3J9vRz=>PWme_2QG**E)^WKA<)d z^%G}1Tirp5?>m42ml}8<39PSwvEmg!Yx9U*6QoAnJO(1@X~F_V^(yD;bE%Oy|D?r7 z*1M=_-LXdQr%JAzB3!*ODtL6%DEC|IIi4(%Ixta1jXN71yMUTK#LL6pDgJwlgx&Uu zA`sLKI<7CFHcCB({gqYvDiddVBgg17(>VD|NMm3NAUesB{!8xx`u?fL{vPiKd~XAw zY?f&j&yr02-xwwp7!XSkl7U*AK@B-qFn8F62kuN0m32Y6w+=nsZp+E8SS)+~gS-c5 ze6Os6<0q+d&vBMg)%VRRzD#SO@?Aml9U;Yy#KcXIcL4s43_sjouPEcziLdMr7p{0Y~`rR#N4A-$Ai!3zY9u3Jl28|gu# zY7!TC+>Zy9O%fkQEzJC~QrJgb9+;!Yv@VPvT4fT9wu!A>0Uz@iL^?;~XotI(`s=`? z%Ww{{Modj3k`~1)y||3;GepKTy0+td-u{JdvN`zPtOlpY&H{gITwZiL6*n1Slb7+1 zkTjoW=@r;$sPx&>Nq-artfF0MAX+QXYw{`hH?J6#@tOKsl>ORcrVG?!4A!<%_z*S{ zkUKCUjwYTiN8cVc61tIQbSb7gde=bRZxTsBoUrN5kjh7bnVm8 z0SL7miJHeK{Jl(Xra)VatQOa~N9tjlZ|78E3NIJRTi2Ur&cq`CL`^dLEL7(h^+f=P z={;LTAus~A{|I#GthUC|?@3GK-KDd-d!zm&L4}VLt6NVv zM7{JKYi;6J005sOJQ3q9=7dpg?w|fAyat?G$P!>%S6{VOxQxUVqPGgjR|kU7o0xKt z1ane|ibs}`0&nd$uxXyj5!p!)5<0N2mGNwrsllu32M}vtCsRQxsHWu(-QWHTHC*bB zz1)&mk_I!BFPU05on8&)eTk6*YJT*Y>0}}hLD6etS+6>Lrax2VX0p2SSJ&M>^2W>J zMiqK=`Z?eX!>6k^N;wEN{>wWxiun-Ts(6O3?CRBwMl(E0Iw{XMn%K2e4@f}Qi>)@w zmc$;5?)1M-r32|SaLxds1`XR6P*Pj|N%Z8!ORb9JLOg49U5xf9uB*~ONCfp?ML*lE zX{hQhL-&B-uf5;X(K28@Q}gTkH@YF3xN8VyGxMl&dekH)6HNA*tpNm}!ew)$4W*`g zw}!j1JS;4+oTEY@+G^QoLnGZ*P6a4ZK!7P00;`F6mk|u_S$M3+3~@%LMvZavW7;5j9nPT-p!!RkBj& z3FKY4rD~LpGM?lX7A7V#w2=}LycDEKSe$xzSkDuMPaxFTkk)56iRwO|9+7k~^87NEN^%DOuvC@J1DYgZ&;B7u_P|jrtC*|v<5&-7 zO8KdpQlsDQPR56)-|j9>&L`jQj+5j>{W3qFMtuutm;iEMw;5PMAsRDh6ZeTa9MnnY zaR|hiE1VuI4F)=aF-nGnzx#m8zVH>HR4SUVsr`ZT=SX*<8>J+TKRdJ#G zr=Ax1^=uEEOQ_PZ&VR4WdmWC&E44bu-C%Tah7tbTztJdZYHLU#oW>_Q3WcbZTd0kT z^t*4OXLMoo42~x?5-2!nsw>6O^P%n&jnJQh_5*CY{>efHey}P2Q|G31fhx6AUz`dl zm@L!HH&l(%+9#1?6uwpO8;b^6_qZ?n*kH@pq_Qd;-g<-mM9))yK_AN>Du6XHR&C*Q z9PsGy(5q;L)bNg~yVM_HCtqRAU)?bXPElxfPyAMwaW)@{rcVxs7Z>|9diz(1Ri;4g z%wpF-3-WYVEOzVJjWPq_;%CJ!x>AS6O$-a zPHLKmqeBz=A^wrMJ3%qBj>B~|U(piwcH}Em3nW1$oH^~W!g2bHxjKDGN0~Hc!q%{_ z?V{Xd!CLT;rnanyJ?p;l28cBw+vtAD`c|K2$~(%6_`2psa+7hdf~$NAP(%oX??eb| zeV??CgdVq2?#2z&yjLK zHG`1W$Q`t4OwUp)rax2jd5?ZVDkqv*b;|kO%7kH=pO(QQ9+)!l;^kLszR9bkaz=Px zud8y>O#9(}(DgLfT0hT_1h(X!vk^0JAdneHts-*`1=p; zT&WcP47kS6`inQlT|`$<-TXq=0UF?VC5zy+c@MB#4H(npg0y0)vt+%v2>=BhEeP`S z4T8UyZ+k*A74scsu6`<)$}Gxv+kwT?l?}*6&Ac6?>y?VO9&FJDg;6MPL~y4;(}^y3 z3ioXau!vYChmBxdl(6$YN^eT*c~^{7?&uh4SBzqAFcKnr^hNV@^^Z@4V^~IY0p%8U z-O&ZefJ3?6DO|RWC$aj!*#fjjLl|BPjObP4o@&>*{-oNljrejvAw|RyD^{Rt4*Bo{ zkxAkrqOovo>s^O(EMUdL0IOqU)b<&M^$i}-l=iBVdp*l;XlNMLdG$e9L*5#JMikbb zC99wuI3Q{oL>CPLpBd%rb;YS1R7a?tn*#9rN*SrnDIl9Zab|JkTCYJ3vRTX2wIjs{ ztU5=hYSmpB5>qUB+H>sgUEky2S1FL99Dvp!6mN472ovu39Tf%=CPY9>k-#W2EFW3tFb~Y2X*Q1_>?cI( zB?lRZ%`(AN1qLLm9;TSpM)8Fp;fbaed4!1SfrM0}g-}8oJE^eYKf~kVwZ8ey)*(Di zW?;Oi=HZA?ht<{`5tr#E^fn067jF5#A(A4TzQv4euu!^4X^87N(ilO@o% zUFPDBgUI|ARBLWAOuU_`%_=wv7${qj5}hR5Yp6nZjT8~$!iqPqM8mgmzRXb^Q_cRz zJ1>pb#T*g#2l|KBQKh$PK@uaVQO5-X5!~Gd_t8Jbg~1PGoh;L)D-nk=QmdA(H$((} z6Sk??VNC>-kM^nwvoJd*JhPrA;l)-fO7OXfzuaA6l4;W}GqXGDb%nf5deoO`d>t>j zR!uFeodMKQ^x2P&PvO`zq3K;|y#-Da>O~8+1vnSexKJ-c&F}lNgH$sb?eirJ)r+#B2-R0kBZ*T4l* z2|;@A0!zK*vvVAxWxjz+gj4?ChJi2@3krxV9Av^>F)vlEiza}FXB;{(4+u}&NXkHe z{&d8}jvkgSA3C*(llvNmV*iC6mC0VXUw$WJU{*l$D{w>-Ftr&v=_imd5K zjYU$HWyp$hrNv;KQ8-p>~lEU6C1hBs4XrK$sRu`6~x3?ZxY zbg_!Hk%)c=D^u+*d3pveT0mT5RDuij9_*y8k~(N9UL#2b3)FxidG`yY)OhdjFHkYzLhkBnec z^|*ldT?x>bbLE1UL(|lc8=qtRgFMFwpF>>B`-;2B@i`60R#Ha~WpOrFXkCnw_EypKNjeLH*H!n+&@}P!SmxtaVE^$M+@`a?ZZLM1p?^ zEf0Xw333i@QIWn=Hbr~LV;dKjH`O6sp=rhifA|Uw+g9`j@39~`?6dC_HVs7M(NB%B zV|GlOOf)X59Z~a*va4ISvGQg$f!buA_OBj(_0>;%gD!Ml;F+s;k~=k@9j4%8x~an) zaP#|40(bC(&BAIrjnnmhlkjT#EKb)Q=71XCcM7QaA8ZC1u}w5OBvEa7+}nSqV+;wL zEQGynF$(mmM~0Ry}TA^;5Jgb}(5p$Wz&{w`!RtUx{h$0Gl#HRb>Q(H~3k~wx%FK-Ff-KIX(fv38 zxxGBiYS=1$y}N_`A!cm|%I2(#pqYfkiz#JjO1w1jK7KiTIsEkVmx7W6T>&tF!E&ri zxwLWWG|_|CnZTNutJ8451kC44!hC+JF`x8r9xw?1-A7P+srb@!I#VB6^4#} z{6T}q76KT9|K@3uG-^2Aiy^l6iG`o`xPn*tUur4C4%Iq!h&Q&Pok!cf8S);*0MMU#@K3YRp4O0;LBn3UA)FZ24!*~ zEbR6<#;2yZ#it9RcWsu{M5_3BmgYzS3s#S$W(UuHYuqrPH$$QhdH(4fkS;QXQvx*D zW+@{&=^hbnACC_w8o)R&a5tW+Ctbe7`f#ISVgCf8PRSxxd))S2)PMEyyDF8UYXLa} z?9Es9RbHGwyoly24ISk)UzVyfhh>VG#9eLY5)e-QP{`o%@)>^jayV_sYpdjqzT>^1k z8-KMf83;3ArE&@w;~CO(BkNGPTOpHDf?2l=1e%=WjLt(e2K)~XS+SOeIJ7i3pz-=R z>iuq{UJ%L>P-!)VmPdmFigeFXlrR?sVTqp>DY$sqpcc>V*cv1IhohFU9Rcii$Nt3WQJgf6;^Ypas6H_dqdG-; z5T}iUIBglk_&6~4z4Oph(@4rWj&PNtOIMm@Mq~ZZa;K-bq^$w&k6SL(>s> zQ#yqf+E}_~R-1=1x(E%WZcb`HmDWUR%f33NeHCg{_>I?3Nc|w%QltBSDK$G+^*ipG z)ol4rPC{>^X45zgFVNdR`k)hedl63&-cSC#YLJotP4+e#b+rm`Kp9;!)nv**9lc!9 zkQI&yp}>O77_QGjjS4&nx82;BAE#B@Xgk+_)~4giGu=Xd?W9(64tIiKMy}5!IEJLje8{jO!qc0Izt07*+fL zU*0Onh)RfWUGFT%D=LuzWF(jcs-biBp>jhGp#Su2O9iO^>5u9QP(#c&aW>hl1gSyc zv&<50V94)Wu`B|UAtGsLuAFa2f(qLYaw(eIaRjbz74SIA3Dk^RG(htVe(-{uav2Wd zEX;R?irdP0%mjO5;QlFuASFZnr<&vnTaKK+6BD;hPP~QKqxw>ItDY>ap+XSzH`X?W z*Y}qnw7Ec@unJ7Oc3>*r&#p9H4{o@K8f(dTR7r+JXIJTTn$jc(#qyo@Pktn+7Ub>VI*G|VPQ z*5>R*x%xB6PFS_9EETcNLADZ4B9y!M_>{ZTfen2tx|tDe<|tmonu zj|vA}(W#eAeYGW)dlz|GYAv$DC}w}ovK<;J?yN15_GnOcbh(;G!!u{g<90^?NY8hR zWprkUX|Ev*(2KLI2eBmrZcAbuIwVoq1shQ-F!rGSUM-_{)*aO0{zb8^1p8Y#3IqB- zDrQs=8KO&H2f+Ury6pAi0e6WxV`Xk9yFyFZBM}UP4rfh8<$^WbP04nyC3jMtQV&N! z@DU$xXW4tx`;-PiRlwPZ{s&3}PAjDW7=GTfJir57LtOw`Tl(#;lSLe^56~3=Mh43a zb$9`F1{davNs{H)ER=QoSE)(>62A=Y3?%bdVOa0hV!MY6iliOdt~&txZ?6ut9%vBd ziKbR%dv*-44kFE5S5T0Gz~rW0AONpH1_r>}mMPdb+N|P^$h;_0$P$URpqYL-FcjPB zf}{{Xm|@~4rIzkC-KfUn-FBH*lJTGd4CRQhVERAf>>z$SU}>fZ(svUehK@;3G+;oz&-BD^JC^H0bj)jm9)?;FiRkSD1N|zq-h-s!qy06KtM4B zak{n3*`ck2CCr)mGU-$nfNk$^zDkxUp3Jmolv!LZ6R}m8<#iPoX$(dZu4(cjl`Sz( z7rVkkf=`N7v>6|cCeb7H@--+rSuaE-PDSmR{_HmCw0H&TefG3^`q``Ki_w_xgYl;s zlw4$UWjy4oB#-85kSO_AK&qxB9US;^sBW9yC@T)ty<~?W@Pn_m?5M^CxiNW_wD4Nq z{$rFS%t>ScQ*5-S)h2cM)xFFwqc`zniDg;#W)~b;g(pdeQkQyt8nRPmt98_k@MCes z#z4QEJ}S45*7-WY5~OFY{+hIU@HYCHPW{Kxn`cq~%~bgYyG*tB3@QQ!kiV0^eqN*# zo&U+f`rfVe2u!V)(W;iUhaNwSk%hLVzB7lG>zJm=)>37-oud)dhgk5yIwm$|l`Md1 z0K!NBVYNI2P9K`N_wXWsXZ<5w6muvP&r1<12}E_QvRpIS;xsN8DNw8C7TgnGzy{-&{jiBpqqy8%4ZqlhJ~9d#CAQDM+ZQ_2t{ z6ShrgQSp}=bRb^bhsECe3jd*j0BE&S1f4IiGwcn5t1Of^W6T;IH-sN+UT&i{6O1ZL z0ti(7m-K;Pj8&gHH?lXz0JD{kNhPHE5+C-$|AW!?$~q zYh^tH*ki8Ftnu-n*L8SBGI9L#x&i9zIuB9bAO@K!-?W%2r!>yg2QULi{-S=Qx&b>@ zG{V~Fk}vB#Qog=!Hc#t^$agxDZjlR6`vUQz6%4Yyh)+5bpUP322#nBZbTK+QZK(dp zH(7&Tdw?gUR9Ts0AHF4{&h_c+MzwT9a>#^;HB;W;H9F2>tPJ^l zlIJLYl!1$eT(+QxG)Xjp>q6Q7$t<9_&SC?SUfViGMxhlp&FxLag`5_NrR1{XU?%H8 zZ|k@yVi7JB0SlBH@V9Ia*Su*X@P}ShGcnvVKHL-Nb4-L{Unz#^Sfk~le4)Pa{#-@qP zF`bXv{xt)EMk4khLx}s(ELjvuGVt?+djEl%4fPASVepA)x82kWt0C5W($sKS?G^$? zHNC=jde-GMqLq{k-bQea!C!i)g?hu zjvSJ_qdHAI%XP9QQTvQ0Q|251h1^`sqR;YJszb{pSNs8~)7oj*ohE>YtC1cPD#+ zuJ#I0tcIgKh8{~JTe+-T1RwuUi(s1HV5qVmEpXi<`aFIY4d@Z(*$r3T-TngzG81B} zjalRxfmWaYlZcXtq-V83qiCz#$TFZ+EES#|a%CTUFZE!hfP2#xRq1UGo)U#DzUE*& zP!df*?UN|DDv?Y0{)aPVTW+1`2N0A(GrzLK0#>POWvk&1K6S&8hFyE7`kL}0FVZU* zrw&mU${aH=6K|)dza}s(yBUGBwv}n|_M&upsY9(#wo52zozlA0e<40qJ~^C*Dif#E zTM)6PfD*=9`PW!CZ~q*{YW-xXW6U>qv5BXs8^QZ45}wjdOJP3x5JbxDbv(sry6Ll$ zJX1HWVxeH1Av9{PcW_^V`X7AY+dcNI@-3k9I$f=7AgOZ}M{T~A;741xQaBxm zs2Kx0+vII(h}1-*4lOjh6haD@7b_{;mBfH}cbRSZFcxIkBpd1ztl?Im&jN@knVg}{ z)okNSIMH(xt|h_t!^7bUg*zuZC_qx%9?fBm1#BXzi2nMQ3D%Irm$h=_D|kfUyMU{@ zD<~S-#8Ucn6|Lql{y^Y_0GKDY!j^ZGWC>?K`YYo*EEDCVn8Y788Bg*n42=?iuAVU< zJc~Hva59=`0|*ntmLR%SzON?Zi^LUj7<~*N!nYRyCjiPWC8zl^0gmZxaL;j0flkB@ z&`uVQiMxsV>}3(-r~aN|HW@nX2eZ z`wBj>?b74!g@yOE{)=FJ#=i#YZyn86-{5whyd0f7Q0mz@3!Tj?KG%`PjxsBO7;2@9d26LN0`rnjxiAtO?7DJ zGXYyMIHs72E!C^pX%#JRE}X9v(!E;e7rzC>)uH{~!~7ZflS7d1bV_tR4t0WAXz>Yf zBIAwP6~I3W29Lx7vGdVn3IKdk}=-!1H#R$)C_#w`!l^hE0I03Z_G?)^Ky z%Y)vf!`r_=H1{Iu|14iG3d8Mc^89X%weV8Nx2YsMaFq}tzHWk^!tSwCC|S*mbs9&y z;8a-^aM8K~KhQS2r^B<%vzZ`Q-x{HW8%o1wEa;3sIcB_-8YVX;Mlky;o(!=}2R z8$&1vS`e-lIRHFV%zHT3X^_>&xpGS22|ja1T_@Ka;K=w88pMO!91_khf;my{_5UI7 z?S3Rl+WjECyFQk6Bnu=<2q8*SN?&)B$dOcS?lnmUL~xI7DbhPqS!sU>I!o(|r< zu4Ir_O&BUm>hRBs^mVw@u}+kh7L#>aHQ<3D=7hhCB}3>;$;D6kzXnWhtHP7JvJ9h# z;1(GoYg(@_tKcFR{8Y#I5;6u-s8_j!$28kfPV<364yUf6v2KINf!sb@=0AD?TQHy! zQ?#4N1FlJPEMR+^CXi`Y=ffK#GX;SfN*iFKmXOxq`0+Hy{wG=;+AJF?qQFLiAo%1e9>9cF=%X^g_@5q<`b-L_!OzP`}U6>tdH4Lm=;8h7#1^sv9 zvg7aUnxnhkcRX}G9_gx6T%n6g{?B(L|I~N@Te;y-cXs77YUKp=>;KHfTPdUH?Pzpo zFp73g2j-Ab|H;bX0cjNVqiN95L5UI|Scy&t4x?5_ZqWLyIpm&QXRVbrv{taHFTT~R z9o-oYK|<-oPTP@|nNicEe$*|{yr?Vd6XOtsHZWk%sLm%O979gkhB@gf9P@6;L;XRu zX&y3(_syT}issxT3Esxg=bL_YU}ujwO%LCO^s*V=8S9!YZyev#?>|J}MVoZRt)$sItKcmQ_b-i0A~g?Gn;^#GU3j*wzkyft5@$vAWcS}zF z^C~GiQ|UYP2xZ@q2`7QU|FTt3)$na@(tv*`KW?EnINIh5*U5Y#ZMmG4J&e&T*OQAN zvF%KJ_|8_^dx*ExFxxt$++)HSV>m0LMZZTnHA6zHQc`u3(4a?o%ken}8@wgwt>BJ* z3C8~p(8|74c7bvN@-k^uBpeslZ)S0pUxGog7s3DS_k%0&Y#FOzEFzvfO=^m-rQ?_c zzvF;}XMY-A+nc-ZcMaJrqeoBNz=$ADJQ|E=y?!%6qt1DNwi2^BDs!wfUcnRa#nt~` zt?77+pj(su6pyWI)gWgZSNDrpi8nKLTE#ngG{&? z2VUmLmzr=450UlG@!x~Gs`L}JB;h#*Hs8Ru#2FRa#O4%cH=S9~tGIw@p9iI{INK4Vlu{2&U*FS=MR-g%CPr_smi zfA5@rpx?jvQzu=Kn{z@BSz-c@sQVl@10gskh`K|E8(xn|OGi1-v$2{)Q(CK7Hd;Ai zwSn-qJw{CwS#3b`+>Dj}3*}Rgln5(GrfTZ}6O6tu!H2OJt06H4%T1UVTPmkh>|&|5 zaW#(ti78F}QYDi)pQDaBVQG9q56A&tbL`N|si4pVnMEukiy>q|uiK@I=U3`|KrW!s zQJwT9)H#0bNlxOSh6m$aU6Qe@Lx>Qj{L`&wFw^pG2#>T=D7+9N+(@EeSwkcl*5ejM zcqb0c2lWGf2Gh@jI7{KrnOYO(n3huTECa8lVzdyvc3&Gs;MMi6G4CfwjTdd{TN*^Wzw>pG!!BV6vS}oit8lCJ7j`>k9Qngi`pW7It<`3W>YSMBrt8?|m zl=l|ta$TWBkxTD>Z@*CGpt)kQQ?ov=RGY4bwe4A4WI80c!Xk zg9dA$)004|nh5;(mOj=2!Ye|yev4G-j@~dwyT)MH3Z6{>j+dI8wIhhb5_x$qya}VR zD{&ZVF{7ACy)*sXswaZ^RRYzaf9i$68>R*WjdTm$(DYC|9tn)52*=8wQCSV?1u!%* zmMePa$=w5TB7U7NRLkKEi|Kd*^*<9Z2Xa`KEyRArY1@Qf zk2#NYkyeZNBFvqlYrIM1hibu{*)$7FwX#`Nbe6gFxZUl&Eub ztjuy_Hiprh0NyU>v}ids#hyAeLLvgFA?nNnD23H}NFMHxaI;#ya$ zba`t+(=w&J9U9i{C#9uL-=!|nVAZG%mt>& zhCPGuH7>%9t=mRxpdgk~A*AQDOFp)8(-sT7q|nw;2WU|(v}vl?>~7))bD?A-nK^My zI5;Uxmb8M6ZvI;eGDyc%(lE~BGVw^|pxc>hl>>5OueTWxq~Q1EP{8gZEr#SgCc3vO zhY}kQiMQMK!1t`kBCymS1yT~%hC^b zoGDZOzR8T9;Uc|n7ilCA!vYu#umwvEh2tIiPsfw>jvj9S5X1x@@r6_}r8y*5QvDu& zylAI}Y{nN7T~cv!G-NdcHQrDs{3vhV3s9tfzFNAJW==SkEZZo&>4)17D*ZehM}i^kr@ zn5U=Qguf@dzBDC8wAHNiuoKVNFF7KpBOYKy&x=@kZZ1Y!JK)0YK^A4q@#_mIo1h;a z#aCqjnI=?O2+J9A-5vjKo!kAXgF*_3TWKz1iXIv&BFL}I4Y_+j~b1SD>DwK>Da%*T-@hj!v-A~HF&oe0loRoo(0(xhYa`^5icK@%E`|&DL4c17@B{V6LR|QC*<@`@TYV0#M8SF{M0Kw7> zQimO-Dv%|MWkmwXV3)^x3-yX22v?wl#XkJc2#yC5I(8&19=?@)MGxHr`Z*MdlMdsD zLp-9)OysPOrzL8Z2_<3*;4#Dh^eBz%+Dtc}zqcjdo*UgEy1f=Bjl&=rhT|9-YDo6E z@P*g8nfd{QsmLD`%X3>2KOQjHn$b7-J$de`I&ZcDLW%mi|Jq0yVJG9@ahuRc>EBXDn_#P zIP}gf>J6grl0Tp{p$lf5Xe${es)5kkZzCvR)^v}gzw>AyrZS(6} zw*C@tZs|Zj-0jBynC@x@xP{O1BG)b~t?H`Zy&kxkf+N_Dg zaFuZi@~%6OcSVl8X#&Oi$+Yh>VXN()uEhK5pmw-ljR$e38or>h8`LBgwwl6hw|)ux zpGM#Ido7d&CF>i+=aq)Q5=)E)(8gnB{anqJyQPXd-sxk4mS|yTK6F!vn7;jZE+W8STlrT1w z^6R=q9opFkbz6c@g7b%vj=$KcbV(K{xnMAX$UN8rS~rf%#DYY)E$tJiH}E7bvUFKC zl`64GY--z{B$e{|iuKYQ3}hnu7&`&2gNrx3X~Z+utCLnKU@oW}36Z&YMK>I{$=5R|)NV*$y52&dUnsMBQ1$fZ2xNoO+QOLX9Wr-)%iXDJAQy)O(R{nVW)Q zlvB`WbFHl5B~Eq6(gs6Vt@o@D!r#m`lqJsdY!RteB%7hEd4S%y?tx>Xs_CNA#Sfh% zhOqzwYmp1(o@oWlxTuy%!A$&hD+>GKi%{j4wb4tj&Z5evxIdN`X8d|hTOa6tb7zxynk-m42*vL4 z+7RvaI9(!fvgH6jK)}E7#GR*@;-l(2{op1fwW6KF(`w$g!kNI09)%TbKcQduGUfiP z!EJVUx^!93QcbX0@#T8VRiC>?l_w^mimRlU0CG+4_p5kW?^tX6ypX?k=&v=rrR8!P zxwf!5eU*3aHVofF-Gh~Y88XS50qU>7eZjjS8BN?gy^kGs%Owyp#SDMH`Q&$XT~IWD zBq4lrPW=DlM9~emYO_!!^J#6#TH% z#Ns?c%cnP0hU5wmKe}U0wn*K=qD9$Ht*5Ai)>H@!PdlWiJ^t-@+7UhN;NZ98aSwSZ zpZs<_?opIas_5{y<6)2SVF$k@+tgrRZP=H;Et~RSL{B^VEqUAneB9CgZ^`2xLb&s{ z<;Wc<0~!5=zVa%T(dqxcpZey1`h{O$E-3gKYRx@TmMysWVDyG30v-1~<-+fU>dnt6 z;&ckt=0_)QEj7`x(%g{sS!quTPe*3GUF6}5!*Oa`d+yPBs<-M2uz0s7)TeV*biEF)KH@O(#^5qVB+`jkSf);(n7S)U4or-wrdeXctQtQP zFCdHx-EgQO=5}bkP$1q!ooz(R4u&T}q`bvw%9aW8(+4y-&f>z7NX~V{Q08$V1fzz# zS<6YcqX9+Cnu%3`^z`OdlWf=1;;Jt+x5V-3a9tbl=O?Uu6xHW;>o_%`e zAcnRjUtZQBaMaz#hA1Xe_5rLT12XU@XMOYVH7oYkBW_gqbYNy~9J00oo2r7T2@f$x zm0(4}>z#h6f!|~RDORr(w01tkXf9AzsQ=jOBb!}qqpLl^rol0)GMJq3G93XD$EA@T z;$0Fd+#9IP@h8L4YI!f!l1bvM*EJQ&Jy`M(e+tYNZ!X#Gkb^L^tN9}M+0_YKrywGk z>KLyw#jv=)1I440TA<11n@!t!Im`2DuPHwr|{uRv_>eHnhB0mmO zUEciPq>CTY09FrN?AgSRBidIA_tvK)Bu`-7McsWDHF7(OqpSv zt>&=?5`%mKEhgwtjNvR=Q|Ys9U5o@(7ql`Xj>p&PaC@;*Ot?0+61zbj3u4WEV$~|E zWVJHd%C(~PNtRD8V3HDZteb&0e8#iXus(jOYtv_|b=0M8TpILIeERIGEoddPVKf1} zw|T8XI+*frdq{duSE(izdC??(4fX8fYm`j=<$W##jqXNyG+vi}QbzrW%At{p3f~mW zYPwvltGiTQZ#fUm>_2<(d7`C}VIclu=RKJcCkk6SSsBP@VD*jB@I@B;Y1Bu&;SPgU=y(=KN5@AdO_?PSdv8SUIA1Z~QTT>NN-L8pGd3{E_?oZQ z`TWF(YverjcdO}e+%Y)AUa2idFt6dTy%eMXU=1giWW3aV&6K-T$!h{>Wh=TEt6bURT7wVfD|6 z|HcT=%PyYiI|L{tFM|9z?$tVxJNQ5+aEWYV`MPu8FwytnjyeK7zsRofA)W;W5^U@~ z-xL^`S}_SRbaoonAK>Mk=0jgp`2;NJw;8>- z4Gox`K0LbKf)fm()*Xq#_%WMk!Cs07txN<$5wlcfjQe=*%DxVhMZ9`p|6z zVIEhfnMQ(M)k(tooV2w=Lpv6#KVZ`+k*sIE#PAekZ%t%L{oM{6#vt}#>_#p1i}y59 zSQ8IR2bM4fchm&ATM1C!qTL2g7YsjIMiMnBtNMn&Ubs(D)ctYd-t@ursqkh}TMIhe~dxgt*gG|Rvj>WMzEdukp zf{#z!FSF~#N*!!Kxd@O-xsmn5L0uV&CgdeX_n`%jY3W8k#TV;@wZY32CYkwzfd85r z)+UiY*&^u1!RA3ddglHM`q3Q@kJBx@wpB)YpCt7jX?;>%ng{1?1D%2_*~#e<@^~Ng zt;}TAIN)#S$6wcgM{2;Q!vjj~!T+8bF{s8sx%aMl%0J{s>4!(}B*bP0hFRmomLN=G z%;Y>(Sb)?$34jY#{n`MbbP$Y4$gC#n0pFr=m93CpBGXbk0R|3}rTT|ai6nfc?(`E4 z<^%7}40R+DqAa=HHN}jXXnU;X4>;ImNwG{T!7p9^7{N^i zsogbkLdI$oi+Gv7QI8Y!;q){wIrSV=^&sm843Y)GIY=9fIY=`U8mh)N;KEv)(Ji1~#&!thg>yAj+|Q zH&-9~8PyJAxmeuKa=BvrlhHTqNkb7eMy0-I=oC944SBFS4U zXqZ4UB;zm1sc0ZwVfvYI;7NQ5CvLiI75Z(^^_BCcZd4#9(3 zfM}$wXrqLu@?Ngh$pGo90*v2ADN)fWU^@JM`BJuNJ$<3*iJI6HyhDxbA+`xx#%$82 ztaD{br=nM|W~R|@1Man-4(&UDxo^6@LR zQ-hk=IIRR@Fm4jGeM}OIhlF2b5>`_UIFeOhF%)?UxUQ_i(z|G9t&H*Id0H%zsh)bZ zC`#f`C{3)v4vd)Q?Odqge6e1oFt>0cywxYK`r6JcNpnHM-i{Q2LaCf43O$o>s>W4k?i{6P~s&@6EfFp|myaRPd zU?r@VAnCqy_Eo=0gO7OCa!r$8uQZSodV}-@A0rV`(9;0Fbbr(1 z!&mAKP~C#z^({v#rUX_ z70pbpaxWRSqCQE@pN4;xNf&fJNa!Y3&f`vRPubhbWFS{0!V)$j&95u--Tce%)oGUN z$iHT;xVjH&^bWNhM~Om%iX#C!h#&FR#n?Qb`DhjG9oBJ7aHy5?wsR1InDee~*!EV@ zp)pEJDwP#O2y`{re~Z2b``dLke47Uwc7HMqew0mg8TPg^!sEf7Cc#%SSyxbKJPn}B zWK%-widu=MmvAnDk6l)rRCPvrb6kTKj@z;eU3p%xJ}W1dms4%YaT|3vN&rQ|$qX-j z!#;9Sz+j+{AOjl_^qGr5a8d7mvI`wc@Y);(#c(Jku(8pP)XTc&Q!$~c<5kLTrP>3M zOpxr`U-V98n;!*>(J>Wp>jygs)74=}f15^c{{F4Ji!DnYHjryrGNJ9<1sR?W`2>QS z6v`ODZ8ilA=cKO%*+XdxdSwf{wW+c+}1`4CGWIRlJ)itn?KltTx50de6Sncks8FN>S=fx^#sHj$z zl!zlFN8!h`r=T6idHz}%+d4T<4Um>dO{`Kjt8umWU+hL__aE#=kMh^-JzOm*{P=)J zmS~k8U#d=Bsog*49jcY^U*k$BlS(~s*m5PE-b%HBk=4sI%a}S6+WR_xbqSdmu&rlx z5(@B^;9JT}l7|yHk6|Js5>TO!SdB~lSCvjU0C!zLf_K6rL8(M!MbRUCpfBJ?+{0Zz zPiTQac|ftGiVz}NY2Z)8yh^;}OcMB~vBgvYnwJ#f9Tl}nFll55q#NgX)H4gStn&q{ zHCquo!~Maa?^>SXXWC<8y$#qC9&UqRMY*o&p2x)ucFClgFF`)0$k!|AW`AheL)CGC zEE`MjGP9^fKgxyVe!vrQawWQrBFWMjKaJB3VQcy4b?L17B4KR!rk-x@u+=MeXjAw= zTX9)kXNj?grY&O8jzaO81ULijx2)*f|HvADw zuKWrWeU60~dQ|W52?DiHfFKCzf$RXB+8%45b8RM2uUNn$+_1+pgrOfjzD)sSwOs|D z)nXPfQ5PfRphoj`WyUEQ+h*K&M}6R}qrUmyaK*e@tI1Tx7?@X_YNXb#NLTyz;uoH);w;9wE-2jY= z|Ks$nho!+~Sa~!!y47siCUC;^e;&Q{;7pQXw9UBG6;I8LZ#@R)1sr1Fc6gilIWsN5 z^yvQ@zTL=f9^*={@#cC&mW~jtu@eAt>C*1HU#6`4qi-{X$1tK`#X3u@$f_4?ARy{E znWtFVsZTa=SQ?0Mo5pO*9GyXX4x5P*>OcP^gLZ^>jR&!#)o&qRO9CAtxP@opn>xQ9n|D+CS(?xm7j-M!#AE#1$Z3+;`vLP<@O=ZLMf+UJ3}NODX)| zaqSzui2%_B^=lxf+jpx&Pq**)loBIb_N$x#EyHrVZU_6f>KA}Qx9|7nFSCo1OzRL# zA$2Qr$0C-i{5>eX+hoXW*lUOeAVnBI%QjSZCmgkuo7+UtA55NA?# zoqLX}xpGC7FA_a+Wf?pL%Lfa|q>q zedTi4HtkKjhAIYRw{aa^>nYHbDNS)O!|nmZH)0&htX8wHRvN~|ZvNc+ga)1@e!U3b zXQV=rfuZ?k%&EVXD^!OB9qSw6|Jng9qO-sNVom@mae2F|vh#giRCYw5c zqx!te)ne|sr^R!LY_n;BS|R!o^3y(#_`ryaum3Sr`9MCBa-T9mt~ z7HO=POLfgQPFmOosl?ud*G)hX_Ak;p)5%a-wwB_~3MfsyFeGY4%cw^e066KNe$T=b zu4~v|5lW&fG=hXT>j!5KqJw?dw3649-kpr$jO1y1f&bPJSJ5rTlL@lE&h)cioq5iTM=Y}kYi=mOxIC8FVf}?UQc$9$_ zI+Pr&3n+NwA_aIt0NKvwxHs>7&-NY6{z~_+$e_OP;>hm!CX%NGd6sH75+A_mu%TU$7W(yu0lJ>^V8-Uj(bp4mI1C2tYKVVL9P}SHhH}8eAox zjy~Q?omQ&3GTOPb1F7e{Os-IGzBE5P9Y&O?IpzJ9V%p%JH7YY<*$21- zlc>B%@#DQ@WcD&#_7Xi2>0z6QHiH0cadHHNwD`(iARopuzJ#@*6We9T;;fh8=)JII zNDXl$DWnppYxQL`-0IenJKOZaMDN;T1}k^*`R`LsFO#ZztB@n z!nZHfU5@T;pkE1Q1C^L$c>$p@Iyb1KV9#bYb?vlhfXaOgBMVI;Yjk4pDEdq^D|iwH zSZ6yxI^7`>g5CTlU4&%owOraIDAenp=4$=SkRuk*@f&nF+6%QvvJ?DWwF2KHIEQVD z)-`e*FFLE!>~JrvCa72yiD=yh;|xuQse(^F8A8}1uExNYuH9!e5BrRZ?7km)0Vku%kpXHZsEnE ze@<0x7TJn8RwQ%=c2}G@zB@%e;GG_Z+?IF|l~wE!P?h?FhG8@8)x2QZy$xBO0L!#$ zgPuxl&{IRbD6JPPnDzC?@CxaI__||kNNLYRI52RLIJ&_EV(&TNEC)oNW&S8+UhawC_kYoeM*;ym zR*B1Vz?>gLL-TJp>6$X-A9cb+tzC^Xu)>ubQ{1!&3%2<3f5>rUGoF!SLmT!U3YpkeMpYkGKSBO>|LrHzF zzgcFBJCgaps~pFC^N%^7^TUww-T8}_RUlf3z)(A!i4yh7Puht(Let!j#h@2`9Q}bZ zB7k8QKZEC(gB!r>#UJ^<>(R5Pn@Wc*4#ey@RPPe?0>7&&8j?Meb3P ziT@2hv0{2Y2%A1!!)kF>Lo?I?G}yKJ*sBmymKqI$I+0G$Q(pw7 zv~hu}pR6a2nHfM8$II${-Li|Dzxs>j9Ffco)!8QssZWFDbSpdq>H8`C=wGYqgw>J| z`VJ1gqh+9gX&|?SNh92n-3EDRa#Dn!YiOs*hZ0UJXlV{kM+c_18fP`M1Lz5Ng)j6o zIFFCkL8y(8ZB%dJW*5aA$^uD~4edV1i?(byAE%qf`y8&>u31Z#=84-_zE${= zv3;#z9a0_j5{P&xUC{DXb2zi143W=Stf|szl_nEWV_>!rg0wI{FP=* z4yDC83n~~J#rNYA2``NtuE%I`Sj{zTXFY~G8X%w!fDeF<#9k0!sK$}Br#m>;@egV~ z1G);1#*EwwG?J;dC)C`T8rZ~X>N4@XnrCWS&gfKG5|>`D4Z`cU2eVvP$Cg2;ph|X3 zu}w3I2jIKLYAGt?Go~rity`b`-L=uk!vla{t&~>6T z2yvR0$`;I0Dny}4HF4L}+V@z!`D(pbp&xSao-8kZ;T;n)$1bY$TWgFTZm2JQ^5jYM z@S$>Fs<}FnbpVSTo7hcFI^0FuI2$|SEB5`gFI^vv)M4n-k0R}*r3i(D1CCE zNpJ%(5PyM>fs7sM$&%=SX+hM#dUI%0$vZahJ@sad8$a2;UQuLFy%=4ND}f1qlHHc2 zKf>H7d67F5ZnR?0mPs}~J%FFg{w>0AGIpW7QnJL-0| z_UG$zo?lKQ4L_JcEiVRxCEm;s*QH?lWJzp%G97iW5NLyO5@#3zJ~gXfxl%Jzb?zc~ z`K~(Wpn4=_2@ihdY9C%|aYVk4A>3S=1RGimZ>nqWO?R{pAYYmrX~wDhYYdBY?K*Td z&=kRS!;xl-%ch2?UDGULQ*OJkhGzt?VEp3($a}?29<0>9M;TCBBtWZETE_YCv*1r1 zmkGXNs4F>V{0t6QeL-UVARmhQlD`SRVjUfw^qw& zoWG8Ov<^GpXetL7m&&4oL?=QBV9pU+}w`B4g15qWCBB}4Q^YUGO*0^!{U z!7KLc?>$-J1Eq#M@=>&cK1QpU-XWZvIC`}eyqo@@J6!^QUf}~(^gyaFH4#OA^>!VA ztE?YKkVja~XU+V8O}O4|=T{+VF>K3%(jsGq%v-i!s)d?)t<&G$YS?2CCG(o4zumss zoB!t*ZMaD~Gog&&;lqY10<|A6;_IIA_6wV+qXaLk1UiZ|W4dg-smKBPr2CcWLAUp0 z79NCcWX*V%EN75-_r?ub(nUf5xr+sH%fiM`5qAw`(3X4B(-5bYrU(cVNmD0|ewk?* z7zb@m0kh}ox#A3dP%lUyj)G%1Tz@T%pa9}hyD1YUXbQnCXX#pbF=~)ythTLXstlmC ziplP|`GJuChOb%%)oLgTdzs-Jd|1RYK;^>`_lJzqvoxbJKf&5D&fpn?;)#~P^K34yd(h@!ul(rR$1#O?mV?BMis zt7RFH2ud4k(5pm!m3t7_D}Wd>$*Mdp6LU^Em0b-C^39cA?E<;#;ft7{RXV+$#j8dJ zLii1XFj-PbfoiN*^PLlqM-dK|yP(9F7F1sQTsxekz_MIdNqJ8*3ZUc)|A+sUK8yzU zMkjX;hjc1p69k4ue+HhqH@J6raBu(Q&Iv2D(vuh;7v=b9ETsHQi=-J5xmF7i$w{>j zt~?;ecnC#KHTAwAj)(i4NHsL79vIrp>!Q+l)SCQZ=zI4erv{?| zJLnj`VN*Hmf>A4)P?6lws{{?}b_lBXHfnWew0Yym1r3J4o1#y8yb*0GcY#*qY3k!o z>6|Icd?K)>UEk8pKk+-5$VJJ@THt?WB{t1AT4;UCae@dvqIeSgqD>l}hEo6nQ-SwO z89LV0p7Ouhf5IjuyU|L(bE-C(8M?0XY+2v2oZWeuki0l0gG8 zcAg|67g82e$p9B!9UxsF5T?0EqTb72eyKJ0#;DqWj6-M>#nWlZR@F4A;xsE8wRP0u zC^>5wFVjW7F8lr}k`GKsh`ewYtVJ=opA1(ci>%uow}9Xx`zF?tNd!5QaSZgaX8(g| zMCoI&pG#Fe2U3Hpk7sZS*^~`bSSiJDeGWrvMt$aK=DZH6MZysSTq-(HK!m^0Lhs3w zdoNzpQULq+28RIn-Z!@o4)xuxk`E>UjY??^pu?O??qol}{RzF;yU(B^WC^T25B&WK zvJ-{cH>2I?$8|DJChA|*0ToYUV$6PjONEa}qyDx2_cZFEuL}uUU5((%-Fdm0pxQ@3 z2O~Q4?lT$~?A172Yyn{pQOv8)(a+pEK!(=}zlMA6k)#R;jEe>bdxvs-qzba-039`u z+mCRt-!w!EAB5|Mx0%G@yP3sd<1`KreF>7Mt->QMQX@|{$c*T~(?*$*zxQ4@!UA1! ziekk!On+oBbQ>Pr9EIXFwTe=giPSHwD;LgBRe7)V{2e=Ae z1bGU&aS$Be8IE8A2FGFshNIg~!C-jU3YUBrbOcY|j`8&2Er@1${v9+oI-QFU=eT$z5rQTW)NTsWT0zi-m5K2L3uUZa23E* z!Z;bKQf_|K;(98;L&dtB<9x&DqgjlgIYK&BZd)B5`*J2JZk#3|QLp>rv2JV-#!!FU zbMpw#5u4^>{!mQOCw6lpi!WP$%F;%V$doad?q9CLZcC!VR*UG}f zg~E_d^`|_W!XLPhQ}5%G3O3Njj12!?C$XfFbo9r7mD2dTge{?OD8NKTcWjiXZQhp* zGY0n!y9lsiI)$jXE9;@x1nylh_zTEf;s9dIIvJu@QFE_$n|xh4GgGc7py8uzr))v4 zO^I$T`(9ud6KSKZVTIhuKllEvEsXfr#f@~Yl^%Ro)-F0HZ0YSRJ9Iz;;mq_nI_gIs z>QnkH$&!K=Nql>IU;kD2)36FHHG^B|;VgDW#CLu*H~WNI&;cQjUlqec zBILxa!2-z7&l_|Zo&2@jPUg9?8LykmWBnK}o>o!Yvt~7nS6R~V?u;N$q49LdR z3tMRQZOtd+O8#UqRA^W{N4zNVGKntoX&PUsze7uX^@wUpQijMdX#_mNd8 zpAbp^W*&%w2#1_g5KUTs3u9$Bh6yEL0`c-1vH+QQkqvvFvIBtq12Qlj)d%*VwodU( z>(Z&N1Y}W1Z`s>mwV`nV%$vU2x&YXzTJq~Sh^26|l>d=K=kd%3UK`^JcO{#gQQObs zIC`AUVwbpMFxVRm1H>HxHam3~rI6dJWq?#qfV|?LqaBmkBs5@uL%VZzl^UsXxcrvw zFTe`6jAyNlxy)gJ)z{!;K^>+2lozWQ>kML)K}TPOv&W?_&|E=fnm;5e=%U}E9Xd2N zJ>W%JE#eD0T<;_EnP0jLBO(>y$ed*&7s?nQLSOo8 z=}UXSEv+O9kdlXgnq$edm8<*POyaFGzrydcs0{&yyNO@Sq=M@_#zBp)2$i(c~ zrLIgzs?SG{!OT2|paMgW03S6`PCJ<*=>%b%&p_*z`w(@;Q!xV3bu*CC_CkynI*5Z! zP+F9V_8ca2bCWJvRo+5LIRWUT&;x0HdQsNrgHZ8Sht=efe~RNJ$@DhJy+?)&MR)6! zR#Ju!A+QixaBUoeH6QmPRBt*^E+MIFjN{1#6har~mn&p@Cx!t)4F70v`jNPz;2y`4 ztLL7{zyk&^YxPj**f%&gY^#4K%vWGE-IlW+L^0HkRwi8|zi^l3?yeC^z|Wg_-vQWc zT_~Y`NI$@nE7K^D=dB;_AdymVyoN<_KQ~;2>i9$1RdPSwE8$4zT~&QH<8&Dp*UD|W zh6-*tUYEI+CP`_JJF{e>UbQKBZ>jR>E701xOfstGPWc4$)4AW?`7ZjyJJI*zME${L zaS!f{qJujCB3C}0nbW!Q)X>`fH)!*bRlfF=MEMULoq*1#Ppv2&fsmdVf+CuC2kG7#QcYHVacHpz2h*M-VnFOl z1jU&r=_|g5W%^D|_gTglPh?-q*wh7z3-3fpdAYLrp4oH&4&8-kiiEM^S9|?#I zZgq>m8f#O+Rb8tuI!I7*s~SO{OSUcuD5MTX!Eoy?lk;;dWIxYz@r#z8!{q{n@0cD@ zfAqq^^Z*XU79USOsf#WJ%$3VtaM^s0<;LW*gn%kefxI@(Lg;6BIM7`omQhWvsAGiW zU4pv#I74Vy3#l2j1ev6BSjcstR!C;S|D2qQP=ioRmXing+q5|;8?&58JFpDYPp^_} z+HWk)4_&+qCACSWJeYi~=6||?4X!H4@&o<^wO=Ao`zh38T?awY@Y2=j_Dlz5KC9P^ z!zVx9b1s3-%Y}M@h)Hw0Uc=5T9C*4<<_x)>R)-`sXLhkbP;ifqiXPq9L#FV!sAPNz z%wx-1-1KCV`5F|~W$--ALxYBFOCLY)GRS&dci2YFg((vNB5Qo>%s_EtLFLZR1B7HT`QbpKEp@L!2m7^i_u(zhT;hJ| z;m1fun0b8(SVXYr(rFB*@WIJi8$iA=oVXKTg*_;_uEC8K4jrzl7eJnzS@_Z>KfBh-dMebg4W9QZ!HE3d0WF*liJK_+yCID(JQ|GQ6^5c$O#quNz(bD^sFd|GFJleVa zcCryEE*20j(b*?u-l_kLC31VBwr^!>O)jF}=hDUt^&h$vTFn^KjD^-U{S2<0TC}MY zqUbVcEJ=QQzyaD=hBXs1ST!#KU^$Mqc3TM&N4E{tYFLa&WX0m|`PkP_#Jf}QoS zvh5tsyBb1*2RxYiS0 z)rA91lcj;!|6}-X#YAHus#-w zL%Y7zMgyaaU-Km9Ay9_G_1VDJYPR&K{>Dz@{8n_pXv6h<=SlDtq zRh~BAFCpiF+X=C^4etyzvJt_jp?>WR8{pwKO}BsprAZ$Uu;Mi&59*V5#GTcF{|ZNf z`X3s-09%H*sqZmmP2!>@>1jSV>OY40IN7I=_hjx3y~ZCJ6oRKx~ovPAI-Ua{kx zM4x?j56fNeEEbCfW-FVoI>7N#>h!~Cbadx%aG-Nfy-m3(*sj#wPJZe|Yi^3CK_sWz zMOprWCE^a4Tn>Y_eX$#-wVAdOa-m>o0^aZ{UxvURW=)_r>uHw0i6;231Lemo3Uio)`1N^tV+`k|XSrRRk>L!E76(G9n#1Q9L?Y9?bc&Gyp6w3;ERz`bmV&ZuUu2j_A! z&jrua+XOPK=U@Ud5(dOr7}!DdmDx4;DI`)Spf($NVXVlrQ1B>6x~~gfD_R=$l5&n# zI&aits!5tFySh!Scb`BrcVo>dET_`bmXIUSAkq>QL2boVPuFoP|A&Mdb!c-54~WhU z^;yQ}3FkzUEM*!VSh0Vt8}kirjZD1IjDYget9ot*r=x*34MTQ`FcJ93g7<0TXo7T% zMnKS`3W;je;uJ%~XgEws#)6;$8^*C$-0m-vc{;Jmk@wd#bd zg(!@A!KcyA$&lTB5H&EBt~D3kIqUE`OHj1&7*e0uY>j4bX&zAjO$6ki*+9~0v51Ax zpyyP@=S6xE#}FA|mhauDD)UO6OmUn!vBtbP2L?U&N)vSKP!-)GX=^7&e-7SDGNCs@ z92@HoRu93!~Jjb8&Z&ZO!VP<(aRKtq>OZv>RbKazU@DO>JhR;QqR@> zW5U_w;6%c9gM#g7aAZ^$2q4Y^wh^@mU#Z3JrT}SS!Uw?UR~=m$Mxw#Xx+ErN#yiW{vYKDBDk9AW)kqe#>e6haHtETn=xx$B)?J&Y z#dMFb;CMkp{9}>K;_)?{K|4?G_ch@p6HGqSgP=dr>|$9>l|o&iCCSyVOh5hOPtT&k z;80UoO*NlM0pgGk5f&0XQ|D+C<;Inoa5bcF=>9ai8|BfMK#QL*SL^Do+U?Xo;BOH` zv6O?0CMTXzI6<^e2mH#1xV=VCFlC7g@f-~`ao4BMzCx?$U)g{y4vR`+)lnUgw^F?{ zpCJ3u2`vx|Y@gKSbsNsxp@lU_T!6nKw$gdOl{IBvtpxb5$vF$}u-1otX(p%j{bm@UldAnf z`+-?JgS2_=OPOFXD3}mD&)gm0-imYqX=E`LBqVd0WKGc#t?O?;>v?`XDCx!7Y98xw zq=1^}alf9=E_?XT)mlRV)ZD0VZL#1oz_4bS9jyUin6NQeSRw)`Gz=)Og(Q`bb%6E4 zTs1oXz>zV1D9-9!uVqqPqMB5Z#NKGUV%?m?i5FnQ>i3ITe*653bTZFl&KIEy?<9}s zYqbP-)fSsv=E@Yo!+NwNcwrSU;&qm;OkRm%$~aMMMG%m{8WB7=+*$-k+>AlZ{5V7C zgy~DSeZ^_9$7m11V`&zMS-ec&&>KNen!2=fr^0TpGss@yWGjDbni6tdEwW1(CmqyR0Iv94 ztJk(ldVd!eMSislVY5n|@9U+>O{Y_3_YiN=L&Gg$V$kpuOl#q~Y!B6GOtD56%``lX zo@zjoI_8I_pEa15Q@0!aQgAKmOTcNM%~v@rkn?ZtSmyvaF4NkB-t00W0?>C*hb*tc zpYz6EZ~l@a#q_l1!{~HRS|D>fkm7(V>0x&1*8n+&xVL@BmoyTlBC?EF0J2UhQNx6~ zHR?WniXMOJ_#9-6z;Xig*7E@hs- zT`nzSSJBnDOdAkg<;67thlcxuVP9kyHUR`%I4dMo1yek5 z@(ZVhV4akZbLc840_jpsbY!pSQnaA?AnGbqo5{Sa7#f=_vJnq`IKg9omx_6`bkjTJ z^Xew3WXnbfpwD+nqAtH}u0HY7gwKVvpU(ahssZh>EtUShgeV3`{XMcUCbfltMzKX1 z#RZ4!L`jm*0|o&aVcrZ+$C3J__JVeHvBQ92t9Uuy9j;o`w~ZE6cQj2mFBX9>ZZ zrnxowtszJDup`q>6yE0r0TIMDthrSK#CK}guzvJd*30zAwdX1Xbl{y))wWjq9Ah+- zrI_(vq_=*^;ieUw8)}(x)i(P{`U&)?Y=h<}`=Z528s;DLn$?+Fy@_@%K6|5guPfL& zF0O2VNWGSFk>YZrUnwNp(kKUYFTUvqGwHSx&O{YCoFUWeawgUJMZS-}?R@NTdATUf zAYS->lEuZkgi^w1YRK^NNUy5Rp!p~ueyU@aYupsfcJeE=QJ+_+hB{TQ(ehWn*YAQR zpds>8ZgdBl3v`uNlCDWd6{>JenITbFv{~c7`n~J*5-`E)vMgVw3qA5ltoBQB>MY{d z=|c4pOhU^+fGY{5FblPg<0@${sg&R@V4CwXT15Z@#-hxp1_RDH#+G~_<7q@z{2zn` z8iK((d`VE^?2zi;mOk11xu-LNov46&XLs&LI}iGTZZ%~h)!pbmt|8*|rBmnu{KWx7 z?;QOzXVHhz{RUx%;FCjyrP4?FZ3&RgpMR|nyz$$C=mg<~W^|hUq$J1PRT`Q(jwOMg zOLDAC5$ysGph5&bn8P7>iVrd3w*cKSb;?VtQgA$pU-bv~C@%6O`n=5IAQ?r#{|gmy znPR=%Hdc?^$q09l8#uw{Zee8Z}e#=8t|MBQDPax#E~h*6opXau9t3xwYtv z^)!zjI8+tx+*lE7>FT?s(MwYahTdSSgyAgDJi!?F3sm(&*^Q`2T83(a%QR!ZLI}>J zRMyq41!b@<-*^g3^tY}p;1*yDS43S?hx>2-KE5rkknCI!YcNck>uo!r*-Wvgt{4qe zFLtd~RU-jPQN(C$Dkj}nt7;-i>uR18c=)OS2u{aVWp!$p9oQ){MyU%3=ZNam@Np7E zlLm@b@qini0#ceJq;LL(&h9~wZa}p&+&djbXT=P6|HR%TL}+5th>>zJYHMuLV4H_?lJm>`;0)H`;sb*w#t*Qn|dpk${*I#@lPe!mJ2 zuHHKx`b~YrNPnA=UoQu|+*k z*ckb7zCZ5IsJE&S^CrV$0ig%8oDTu+JEv6YA9Z0KXeptrB^pewfKm>cv%s)p^B_im zpFODN7|R?C)rgvs589a4d{}B2djj(^{dUOJ_!4;O!$5wfZ1_EavdRN4t z^Su~r(*NQD6fvjy>jo|A^BUK+$H>&)UxgaE2}w^oWY!Ejm(%aA7ZL zNcGk9`ScvMs!sgnu>55JXctn!Y$6WbdP$3~#l>i~y;GCXpsRYs&B)jGuz~`EdZ;|Z z9)Ojk)@?!zC_$W9cD-u|B5nDdgzlteO(rt@k!+klxB;1A+oo~r59Uw!Gn%1^MR2v~lA?UBm2kUTxbLF0B z0VkqPzKka^0Jkyjxy%hAHA3-lnYmPl0#pFG3Dnd|rYsO)S@{y6cb`(})>L`UZwww? zSq8v79eTV~0d#Ur4`)BLGF_xuTx8c^O!Q<+BF3u5yr;gWaS4+Tgh6Fmvb)C5Z1?-< z%G%{_6xfmFgvEbVi-0w=1{iX};XaGh^|^8d9bj6hG;>5K&!tI*vqqN%Hv>~7MYAD! z7DMLp9OwA%J-}??1IokL;f~|$cwqqYt94SS=`GSp-s{U{Z{E2`lrojRAUC=B58i7b zaDYGiG>nfPcdEYL#OJVZ--byzdrS_4L!@%pe;X=?K+XFsK;V!U4I~Ygf8iJkx{ky2 z3oMYJ26MbOIPO~oo$smZAENK^k{?tX{BP!<$$&o@nlf=#Am{FAec|O6M9^HueU&cv zaJ;&Z+gWbFE$GJ5sG_?)MvV2{nrNfWFVO*`fNyAn;>SPyMNK-&#@^w$`kk z+LcgD3xxAE0Y&>Ru^!FCFO}I*#uw>s^j*A&=W$<>Kf2s_w-Sh|#j|}*yiO`n#Q7HO z0Exe0urqb}!0avQ*cS;KGo~ahDJYCa-CBwt8gV+s%01$S-+~XXrq$%+JknYzwFN+L z&pl5(XEtJZRF{H*P~4GALB9=FT5sze#CZYKw}@XsZdCJn;tC;29n~HbH_!!wGyXD# zRBc@@+G}sgwbnM}F-7@E;7kZKOGy~F#n!QP9#@wUbr}s=sSTsSylZeQ)HHt1`my^> zEw_x&9~&!3BG)U`&()ut($P)|ACJ14)uL$@Q(ckZ*anpC_p)K})-B^L?G4|&Kx4ph zuIzSIte1Y`XdGANA|?hs_}?YvXu^2O<_I}4OajAsdA%6tS+w)3_3-FuzYn_?eZOFJ zsV3LOway%v?ZDdw#=s2*wMoUaHHE|2En}>4$*r|^gr*1ejE5{wK%k6-AHTn;PsgjP zS%qq%fH8wTE^E$_pJz(qHfhLF*g>5UvHHJdb4@9^XVf_Oj9?G#%%S7}{OFyS=*^bN z8Ujzz&a%HL2?O^b;Sb${*|xv^{&ws>KoGvSe;Pf#e|9^vFk@W$W+gG#4i9^EI_ID% z2_vxeDSelw=hGTR&pqWoO8&1b%>TuvV!LIPMJK@ab$Sx*V9-P+n z%G23Aa;b~yyaY$h(5}E$p!q--*2&2@#Z4PyL%EjvWu5~W;uI>jGzS;U#&(*6O zn9=7;T**gz2&?dGrTmtO14To_?3P=b)unuXo(>;qt+^okgq$lmYypUmhKIOmA4 z|KDz*v96T^HDSA)IE7PIMZ%RkMV}dM5-3zPgvmzBI9D4j*ystWy%hak2X1yTI{Kcq z1&9pzIG#hdZ};l8Lm4^y@vU&H=6RFJKV8&3wx^fq9iq8z z4ok@GP=WojQXY#4Ds6BV$QTN`Wdsa#@4r{)z;-lRt;sK}d~^nypf*@M7M91+%R$&J zzo1YdoN$4o4vX4g)arxFl_RHar$|l_r`dR20thodC+MV!o@fi-R(BCmmsJd7I;2m5 zn@a8X?x)YXFKGtHsIF6`5Zcoa8afvsF0PTst!1{f4{nFw!ca4&#$t8)m2*LhhIYC_=L6j!*WeAu~Jcuss z2TE5kdCo%HwWY9U)iZz|b%DL(cLi6|c4&zPKz@BRjON3hshBMJR;L~mK7wxuoZ5~U zj-$tUzD%y8m+K{wQankZrd$0ZBc6(h`eySE{;RJygbt8c(K@sxTyUpr%&IIF_E&Ep zAqDlTe2)uNC6=ZeNoFg^x$8sQSgMg#cgV+(cOBQUTJ|FF8n0Gr`AOw5-66#esf3u0 zd$R$BZiTa<15A~rgd(+}@nq}R>K99ig96)Gq z{}j*t8?6N>z+rV6%OXEdkZuBbV#BwBR|g zTd+EQmElGh)Zjill>4ks770~8U_WCM#d^F_=!ZB%(q;Gs`&kw|^J%l)11z4GYk^ok z*prxLAr5qL1D&Y(a+XsDL-hm1eJXuGt^wAz*i7b#F@kI4Z*<=(f3#QFobjdK^cnQi!jU&B9jTEl&9+V z!RXK%!;mnp&KM~6`;G?TdntC6gKOGo0bC^*G{Hk>gd;zao}^9KJi+<*vNhVI)>LU^ z$aAoo;(zL0#RY_B*?Prq1V@emNqQu~6S-JVV|a$c6TAv{zJJ$KLA5c)fCef#=#?*1 zP4=Xte0u80jGs0so<4dv65~&ArEwY*HPx);wSc?xVS)I7s~cXf7Yps-*R;i%jM#~X zKsEwt7QDqpTeeX`Jq0Dyk@+70$PZ7C-ian^Sclxrk~GVYpTHYFsa?P^aj=7MX{&!h z`7*V4yg^Rt;kcA08uE@`0S`cYf$^=^nC01v)+^Lz zF6a3bniEb2xO?Kej}#Nn?p2hOb3+}2H4yPQ=LgVR=huAk7dYNe;0FE{tO)bQp_yy98r?FP6uBHD zeXL9qUsg<&q(^Onp+wK#ZD4$9Xk2wA1&E@;uaymYt$}LB1a}1~3$7%vsr7B%`CHlB z=>Wd@Gw^Uun)_VQ0411lRFI`^d*`-U1kuGgLjbG*59UKJIW7LT)o32yly7njUGai!hOiki_ zwN0Jj!n=>#kjD~H>eP) zB$jDshLQ~$y4Aad7*CT3&)@6}S8sxs{{|OhNK=#EHqVW*6-oiT7H+Nh-EjGk4JiwF zjcx0P?Yp4Yn_%X@!6hHRuIcQ8Vh@~_KLI&XsI26zgF>#eQi}_nM)7*4USgz9T--=* z{@1RETjzA&RxVAFIPq8vXEAeH47UZwS< z;JZqf0*$LK*&ER_UZj%?bd!fdqThrzG8#V~_3gE)>i9% z`TD@H-;;PlWFoMN=&ll<$()+U62v)tXT$2j^nv%Oe_|MtJt@>pPwB;<>}Q5TW;_s+ zuu&g4>~RCn+7=FerK(!7BWnsYabVG;_T7+{`d@@LodZ)^co= z8(BD_oe!*5B7gYx5QBjj6zkde+H4Tgywo|MEBKF2RhE{m#Y1sI7rHs9&PDIlIgs6> zMv`@UG^6?kpF7R)d)Pfv7&7#gy9i5WU{hb=+HXb@hCX4kP_+|PB*;p?c_zh%dICs} zK=Q${7!1XgeLT*$a9&{Ef7spZNIx0b8mv*XC55^;8x*`TP1_|qPWf@841g4YY5igNdB zI4RjEEmbeZ0)K)4j=0lO81wDBh&0B$yz##SA<$lIA`@`_$JuqQH~uShXdgmZ-$_yN zZ)y3Che8TFLN)CbM*lNJ98Mso;JgR9^X1DuFi}AJk6z-G#O!W6luG$P^Xo_^u+niE_hc=?c?MKA!J;Al$qHl{^Z>Q)eBkRc zKBwruY*Mf-%AZ7&>*bVDhOiZ>KfE9bpEGrsKFW(4i19p5x9A4o%2KKO5tg5xPU#;U zYd+)u%9ruFLbCMFB`6}PRhhh2t7bBnhr|;|GVsi)e@)dlVxSH*7%GKQZguH$ZrL`~ z(F~{2Vm0qO=MVll+-S3iUP2Up;ABvfrkhwTbL42>!ONV!%x?u`O}6PxeH;JU@A#TQ zxZ@T9MMx9r2ZfmYyt;x|Cd-;`v^Ey%AR}sb$WO;JVPz-yTgfGVs=+Fsko-dmDaD1s z_hA0b09Y5*3XI|E+=$OnJId(+!^)uYkWF7L*X){{EBcvTU)X@Ce_;00jlcMV$Gg$z zPtKl!ggl52Y3kTTyh3ptdvd{5{3n07pfiydmI6#qnO0}NF2E9gsCMZ|UdayTF(ZBN z=XsW3yg?VB?p!D3-DTcqlkl2QISGP(aVYdKP}^G~ZvZtG#fw~BsV0z3bYl_FJRtsq zhKqt<{3Ff@T~TgSt|n+(;Y9jL``Ny;A2W3XA)l}^mR~P)kjfbH+^?O1C+gAiDQRQz zx`0;(7m#@;N2>4zCD2GP*=8ouU49hMG4UOpako}fxr(lmTj5$aGP4XjH$S6$Z+m$NrCIU44J9?!}r2s z%uZ=mm{=q_;7!a6s?brTi+*0Z56dm$&(3U{wD|CFG6}548kDD@MpRUjZPwc~^Y_$? z3prX4-KKRjb(>^MKz4-ySwa(~Zj5qwxO?leC7!So@Pw&?W)g=l8EDv@Dbv?*4h%iQ zsc1{{jrSypFPceZ!cPqy)npSMF#nQ%#wJ?faGcZ8ige?hs8^?Dl`KJjnB9Z=s8`%O zq5{~WN0QAk5%{UB4G6Ap23(5{+@PWnZg~I=V2eBcZT+6*7GMOmEyA+htHrd)v3z%e z+SBp@`L^~H!p$$=ua}c_ML9o-OFZjdHertgiQ&cq6Q=IaryBL!lIO9(8w!h%vT+Xq zPOnnGp6$xRY~=;luQ{P_epn`I2tHqn0+lze!RhHq&sVkxK}#5x>=vN#P!Ox^A)pJc z)NU24FmUUarZJPZ^(#zWboHI+X)>eV84Rv%eKS;wNlA?L-Uu+(Bl`;;Y~V4__ukT& zhGVlY0!aSaxX*EiGkZuKe;vW)0`BiH%~-7e$OZe4POCYmlXSJ9KS~Vfz6Srv7xe56 z_Mx%CzNi?u`D@{$)mdc}r_U!yO;=AIHFydF^w(NhEv`dsU4YswWKeIW!{D3UgmVKg z+F7OCl`7tKW0nn6<8d{IT5WpGejSHoj0y?x(hC-@V((*4Pvbd;_;*NAidktuBp(1N z!90n9c9K1uOA$JQ40p_)zeSLS$l~f5Clhvty(-c&O$$vHRN3Spf+5Ul>^^*}g2=8{ z_S;*Hdw?zgm;vZ)CS}!+bS1D_s2}|)S;h5fo%n;HF58uBJq*EL1Vq!2f%F6o$aOS0 z^>_oGcHxq1BGe3$g4h)T;3!IdFYh9-g8izUtGihp4D%q#z&Gx-VHCZG{GL5D%`!Kz zG;_lrdV*Bs6sw!}4+Cga2xiK1_Hni#-bxR{nFzNfj22V`el7j2os&eMwgoFms-hx#zj0< zhbW`!|2;P-`Y3)VRU-u$npTF z|1dQ$f`Cx@Q|goGeVi>ji!U2kkK0eHttH8Zc?n#+4?zr9Y>ezeR9+|>uDCDWP4 z(@Qu^iIO^I@Rx-#=X>qn&|;>rfVJ z!E}y>o1R--8hY;fQ{q&-qlaD1)7w4lfyNNahaDVse%Qg$&;PI&>#N&5Y=(8Hf{F?7 zUbrcgn;zG>_~(D%3bfR2^T2@HKQJccBJK9H_R62_Q9}|EyWmK@B*FD zJ*XK8`l6jmF(CSEl|}`%WeNngp&D(fSiskSPyI44)Hw3!J_HKBh_BVDg}fNJOYX`^ zA)*gFGe1(NbydWg=Tv0lTgt5um7_JXPKr&{tWrQAlPqkN=NHW9Rf;lngqA@4;}GdD z@l7IkmO2ITi2xo1BXyYX^dFU9Q^Y{Tsg{vZHG&iO)jGS5hJ#+H{(%!ONGRsjK=50r zO`XsIn90Hg=lSDn^ zdF4h6pe6S#KG;96R2RUiqJCm5Jp>u&*JChd$7{VpFx802AZ=zy&t^~O%o3fl)b%QL zsxM=0S7|gjsEYDjhQg7RtqYr*erRw_CF7ioZeuy@>FGfub)CsJacgWCgTx9wsT1=w=A?+d^Ce!*1OD$fB#rL zq`G3g3e}LC(s3`?FAP`4j+-J`q%@n+yh3O~z3Tk@oPtdV~n!!|Rx61RxB*Y3jQPja+N#+?^1F+Jl0l}G+#l@Ol zkaERAdONLR^M1DAUhyNz>LbYWLYfpl6H8pI@C)u6UY6UErZiXYB5qkgAiZSUt9+7V z*GsjZK}k-G$gr!pg3@~a&ecYoxjZR8kVf+`iG4(a%+&u}V_J}kCe_1Ip6DJj_QGQW z*+~%0BZyZ7J&W^^Gl5DYJJ&H1uI#`+4*St=bR>*6TqPcSh^1ulC&@sxTaSI4s49$) z_G@GMtI^<*Pwb#Ke-01MU?f5#-wa6#;HUJox*#ToC3*FC?gpVzi3^DlOPAtan=TPp zIJ`r`@N|CD89`|Vb|0e1%6v_L=JT$m@s5v*Lnon4-%n5S zw&5U%da}NE7taaX!(_fzrZa>;%6tNJG^Tz`?VGD4Z6;V^XUGYdL9CBWm_{~vBxfMg ze~+jI@IU(Yqyq!n;C^fQ-i9=cW|QY z?dye!@h2K{KhCFkWR>b1nOM6dKA+&u@jt(>mxyLcwe&Vr)QK-r+6_j-d!`)iCVs^+aXEmGD3%b}=!cysMd$lW-x|*(1GBo@yVxz8(Fcipq zOE}aEeXs1XZ0nLKvtmKzI6S>G_#iqS(x1sL9u4m7e*jUX1NBc`$6o-M)gA`G*UN?h z>pA%pF5Y{fFWqWJMAulai$Zj(yw}V2U zUEkFdB)%#Q06x>wqfe8o=sPI*eGaRlaG(eG^+i4g!Hb`~pnRZ98KD!rND`s`@5`5_ z^KYV$F(tgKe)yQxCn&o1>$NdjJ0;W!RFLIHziK)DHj&26+az zK7;PsjM&99A`%tSVr{GT6Xk@>t|_N`ZIdJJZ6+>_eRlkofJNu7-jmeF0-BhJ`tCFc zxEq5MeEXjI1L)K0M#@`_smzt5r#{dn1&lV1LR?QZRas`$0JfhIbcg7i?=}f|gZ=^U zyIs#qwca=Nh*r-s7e*jkBwKfQ^T!k>%%SY9hE^@OrBK4P69~P$unM}q5Hozz>Syio z@8G_T-;Cm5;X2& zeU@ts6)F!4eDBI7ucxI_OB2hSNNkp+BSvw2($OHe`4@2=FLPvT^kgE;Ii0N164FWa zqZ%$y^YY-u=l7x~X}m~v$k`V>r1m8@X1Gy4nGR~WmnKJ-n`vA1(L_(1fmt%C+?18@=D}wY6!ybci4~#Y=f?J>k@U^}^CubkCRc<%1q_Bd2>Nwq8r3IXw(Bsq>sz87MxXYZYu@ofwF3V=V)PA^?uY;Ze!exB z*jX{da-1Z32GT7>96d~d6~!tpw{Nq9(~}XgK;b8@W@zbd)N+S{i+zGONkO1~KiHGdch6)C45~vcIq4w2vv@@F;8MaxT zP2JZ7f1xLF3;|t_=bmh7#^_G*n(=R4TTuJf@=fBlK!5Anf~}nKFqU2JzbRWG0hIG1 z+Q>Zu0|?s4U7zY+p9$dpFx=dRISwM0v)tbwbct3{-%hX+vsf~rECnDMkb)S(Kt>l^ zZ=4o+v>PR}>s7UhBYw*Wrjr`+RdbL=-a$beXtZ!GCqm^sZxc-2awtb)DBT0Ak*lgK z(yc?a@QMr*t}ZSSUL@-4W)bikjjaee-4AtX=PV0l&5aO z#Niu+Oa{@1(GjSb936m=$q9Sl?Sy}U)C9agZN z)~|31RxN^Sp*fsP0a#;;yHXZ9ScM$!2zM{4B(fv8Wvj6 z!+RFoB(bLPh;AP2^Sw=0zSl*ty3Y(!Cr5n&Qt=)LhhUB}n2Q1{dh-HOw~lxk);i=U z9OV?xb(c{y=lf^*x&#LN=hWQRGHL^sQ5!Y-U;W2 zp7xe2*i<{(}UoIyrbJl3RRWVL^B=v9A$q0r=}jQSZZV#d=o4-uQ>G&F%(tnxW*W=7FcnDF)bt&M7c9?j{p1uT9 z+e=7iYjmEOHa@Q=^K?}v{~vkp79vTuu7`PM4whbQ5JF%XKZMMlotaEkS7lZ8rFwI0 z_jJ!~pYEPMQ$2h3);`CF$jqqB?263DiO8&)8Yr+a76w`P0)7y-knazEv=A5>TNr_{ zjPaWvBnx4D;UFV?3>L-`*z)>sYyE4*ic3}Z>~n+;((JB`h_zO%SeJkO|M!32w)=HB z&2p)}750()onxaZCga%+5ir$!tLji#l@CJG90$R+H+4dQ7?V6gQ%Oa8lE6%ANahUs@(s#@K?b0vUcje|FAn1KL4QEpZQIeR}0^( z*)F$herBO853%ckv7|J8GPSZGRuP>j&UvlE!H}9I1O08HD@2-4h%B%}L+*hsmQJz= zde`z$w~miDAUKs@7S)30PIx6E$_m#VY)pl(IYvf@{(T(@$DeFWdjK#dPY{v(l9XtT z@GB&>8!pss0MWuG9+^wcO=LBe-{&@_^LYs;$jr6UrZHF`BDIkl!UaKVpC8a~2j*{S^31$e1z;z$ZPlah zE!_=a1ePCwEnAA&>`Jpx)Z&I_?12^m7;kS^kt(R6s&sCS=VrX`%D1k}D=Jpq%~v1v z5NV&8&9;)mS;uK5k`qpgL_KyVdJ?>d_=4stoTLl)dI}Z`4I;2XbG$HA#}w4H80r18 zNgy{?g@zOOb!Z?#&l1On<`@(a=P}D5y>MAvnZwI>Q)Bp|8o0TiLqei2Cq$wYkPIE+lIizR zE1O}^63CQ=0jwi-=y2pEjT*B-UtpPKJlL`K*1a5$QmYL#3znff)ktl`N+sUuIR39yNt-Ue;V&w_#a)+2qo?qu#s*3vl!$h{kt@Uz!MD$b0loT~~oiT&hTZ zM)4M72H>iwkX0XzS)7$Ao5kH_KK_6EUPvZmKYF<6R#!{#N@+HkE(d>}u3fa){JRz> zkTTU4&eR<31#7{Hny>U7Fn=hgX$X`wEq4xh+b5M(Ve6qJsnxsDzrRf{Upf9L(ETx*ENL}4Rub9lEpt-+}*5Dm5Y>-WYdgOP$Hc$k+4Sjg}pQj&F2 z6xTFXbsqrSYTKJ!`Bs{$yDwLsghkseogh3l zevlBY#RH5B-290T>N4iqvn0Ha{^r1zqj2Y@S~ZZfS{yL|AlptKG{Y^Tyroe$mkqmQ z=V_9WQ;Rm|Fwgy|eg!wwfQZ>Qcg|ruScXI9{PBnZoS-2f{+v;P`cR@6~d8foGsSv*xa6HbtK( z-2%J1D7^(i60?K$aM9-w)~8Q_ObGBo{6#EY3m3t^$yrPGqY4)Qp^^zrp)7aI@<+1} z5}yX~CEulAeTrBO&c5=D5=gT0T&gxZ82XV3Iqg!a1n>31^JN6C21}H&fx0&)(%!*T zMZI(K_f!2g*4`c7gSl88%cMoLSDn;qdyLgHop zrUaSP<`{pcju*CD#1|TMtiP_~D{~acTHXgfrdh&};A-YsrSzd^j)BH%RZ}V~6C-}g zUAtO6t}2fs783-sVqT^jQ(+V5cC##o^yU<-6j*L?#dzoCib$H)Z&V&RGpwPWUC6Kv5eI3WH21W!)vBCwqKNm$G6 z+=MQN%e$@lgfR3tA-~+g@B6z=yRShBrSmUhR^s!h9I>D5yi`5-%`6$WPSUm$rU-FBWBUiaHFS;f(Tg)dhsF`A;iO#NQknt||&f9Pl&{XB>6+8yd#7+{Nx$DLDdxRA&;Eqd$jqS+;Vr+E zFXz3OMx1&3-(ynoppA;CIzJLa?;~TUu3UG|u8U&d{1AbaeT8*743raA-!`W)he#}I zeE4}!eq4XG_};bX^!~m33H&0NSy!+WUR)8L8N~FEUdb%qcm)>UU6b}L1jw(G3fi5tzIqZX41SdZ*%79u##&W7PQa*Xuq!?lemGs^#53&ckq@S;xB z@#*P<{nLlZ=hEVuR{*myfVJqAAxyBKm`vp4bo4FTk$6GBEiV8 zg2xhXZqXqEXRcmge8OKy+8f)HJ#cmxwWyot15bw5fj#O+^uncDJeY0_Ms}-cY_ldr zabJ;B!*gLXUEE=4Psz5Gu=-aK#3$4YerVXHN?;(>i37;rBTptnVGWE1enVBWTIiP; zdA)I|2!EOQBIK=6IwkwULL+XHAbsT+XxWd!XF_A-Pg!Q7s3ss@5RgoVVkU}~rdMkp zbV}f?Aw+OTTwH*1VSvlapi*LxY?`4oD{(*-KojOBs!t!}Wj*fm*peBmw$L%A^^Em7 z%>3p(4KvN$5|lBD>W%6wau(G;Wlg23PA#O)VY7Yd$j6Xa?MWC z^*qf@KZCbymgPjm-{rKjfQ=`3ZHI($p1AflBr?@b4aRm_F3&oT}ZH7Whvux z)@dle44QdxZhrTJP=wEl*VonfG#|44bOBuaZZ4)ie#vCq?CG#%40YX%i2p5ES@Eu; z{)Kap<~F4t_b;8oYqu%<W?KIjJ}+`4(x&KTUzbtjdyK zfI-Bio2mYvz1Je}6lg`EsPSzeIru;$bjBCB7Tr~KX4G0`%;6AV4P6Q3YO!nQ{X@{h zCZ!}Tab|spX0BQ#ILPJFXmU#KvXG=eaIBfICnJFP0tWbSwONdO01l4VQq;%-^Bx|m z9=AbmlHuo{KYsDz@!8qE)e4N#n?Hujv=t3^a@<-XoIBfWx9DcN47zH(m)z%evUlto zpy^N25>W}b00h1=mk0gL;(D7|QA{cFX#c_f$=2oQlRL=`6%qoVP(hI23c0MVrL1HC zInrDRM^xoa#CyaIvyLmTXBl~6FS_xKZ)khsWdC%uCwzmcVoC>!(xtoa$aL9Jx|bZM zzH9?BlSQ-}-1`WDbrx=rdWd3FtTt8b4a(oE%@t!fnwLvqm_WBeIMA3p1g#^YeQUyb zTd&NAb+*ir8K}&bv*gE#mFYu6Q{GI}vmFn2GOX*_YmB|68@1+tmvDv}s9;X8kRMYq zW~H&WG*ssJn4-$#)5FvK@hP8ff48=%m0{8!_r^NaOZe2sz;y5w1&oHird%@~kTVfz zJMd|SJRrYL3N%Z=PI*T<5(B+r{M^7k1-bk{uOL4~uunm)s@+`9kb`ybwtL)IvW%&| zQAaZ2$DN`@7*w`OMZw94S<>G^vPeftQm%^Ed zKMXuYgK>uv5lkO&+t0N}0&d<5L!isDrV!MCIhYpTX-$JDe0_U6PlhHj^976;T;8H% z#O0w=!_%qqyA(kq`|S1@c>W;NL%I1q!u07}XBF>Pj$JDT<5@v%HV}muqeMx@Z~^vh z{8pT}?5Cr49)XAoHxG8`w#tAERkm-@xo}He%UjiPFt9LyukwzyH$9&WVS>$)!a7vh z%*A<3&rtVN-EM%&%6XFD+IPethGmWMoZelhhPP#lWm`8 zo!`hTFOm{PB4$OEnB&Ku`Oh)_N8-ZJl4Z4R7N){=*vdoI(z`v*O zl60(Egd*e~EX^KeR=I0@m&4>dos?kk8q417pCpI2Am9n-Bjx7uy7IlN&Z8Ox+bay! z=lQif){S;_0s5NnZi;&cVk9CF;#&9$gZN&cdS8d}r;}pZ5XOgEErYKL=htadB4p43 za>s9hsn3Pz+oJPbjA_om0)iuBaX`r4yxcb65K{}= zwT3IYqcE*3|%5M!g?-jXxut@~+ zT79z3PHb*Hqq@yV{9C{3OiTN-O%*b&e**j<#+osPak8PEq4K0^xj(KyFAQ)As%}vr+i=6Ds7ivgW+b zMWtg*zPvDB&Kyq6dF$M~ikS-tPN|&WpG)44N`{m`f{I5f8%OgVN`~iV#RS$Bl`{%{ zypg36#9$lkO>}3TZaV6MV=K4Tww?p= zBI+z*wvajc!=9I42j^UTVxR9+qz0xfQ=W5eJ` zOT1F;G=b494SdZz6=>{G>UO$1p!G1>L%~DqSfl4Z3n%dm56I;a7Ctvn2 zf^TeHulSy3tj|CGK|kXHHWiFCZqYn=*CYbW#A${#i2wuaXmlJe~}036B<7i3%<@(mPtP$LZk- ze43lTN>BmK9Xl)2^KI1ReEI2fy4nSNGF!VEJR)vfSBFzobr$JyA^KJdXhzK3xumYf z5SIlF>^JZE7+69o^6Bum>GUE8ad1={*h}W-@H!jypxDauY_4Di_$SY9H<an=oN@jv1Q%$(i%#cU>ho{MN(~9I(S)hKUs8<&4XHR{S4dS7Gtu74J zAR#NPI$*}Or=YW`s}7S;0SwDZktH>T1vp*Wd;`^XVY-bPJ-XH@&^1jVa$cZm>4sqg zd4t(DDp|q+Np|=sh$cYm2Q^?0@RpG?M-!Gn8T+;b52Nk)LVY%}@q_Jx(b>)cAPFiE zK1rtIEocR{@b@hQc#+N9B0pm|w{^Bz zfJQAq<&O`iGx+c9KKwU3h5x1}`1>QlTD-}wvRsLSP^4v^tw0wEeHwU2R9(ovj)INA zsK9)u3G)4ZYiz3R_YSW-?$3E{mQzr$5po{Q=w zrZc(-4WfryiZj(?Tk(HYe^F6=I`v#EW3M1aUHXQSK9B%ig)?(q#!^vr6aSi_@5rIfu7J!(p;4 zw+nMtjEzCQw$1jsAvNI4O~#M7)KxZH0#W|Nkx>WXyRh2_5_L*98*@;Er}$>7auj-VpXh`$@%Wha*N)~o2SGXP*TL-B{QffEAq*rHl?}Cg<;#`uDqa`9ehNr?XvW7DY%{}jS6^E@vWbE5pfV;9@&qOpJ{>q* znp_=&pQdYyd+uTAGm*bf_iQLs(y}P_M~$@%d;FV6(O&{Jj7yVnkzxwZu*+Fm@N|(C z>-lvGEGSPGyY+mEKbQyhXN4tEwU1G(#05`;t`lils2`Wvxl22REIBljcdJ!eF2A=d z#8$K1{I$Z}LTFb|X%8B0y(B1z9ghYGZi)cU&y@tkzkU!oHO5R{~ z(v|}%tOpfaN>q?=0$QmVB+xt0udncoi9_J?_v;Q!3uZ^`z4Byg-&XY8)s3k_qURS7U%(73BqfU&;tUsZ0!6nkJ2p_A!|-=+UPi zpC#kRI6Jj zhBNwzwr0VHLs}q4Eup@ziTYG!6T75AjBJMV{L&oWzTNFu_6}%ZjCopOK3;-}v4H9H zJu`9(54x{OZ1fDpMw|0?u_X2QJ##WTNHyQbZk=A5Wf$cvOjo34V*FQ>e4CY!m|#Yw zdgnCXEK))71?Fo?83pIaN4bO}1A}wnozXKw+|C#dCJ38{12lioYW5UPHtDPwHJ}G+ z$)9>po<2H!XpGSN4})F)%h~1MIM^2znRw5FJT%1AYppw37Qj|M-4ul0~W)}Npf~5i|NP@<9j#p z_lJTyW$0U1>|{9Il_e&EK+Z+gr-2`WC&HW$MuB)8{VLlAca7idOU$4nadfMH1H;m% zg>-ZR_f8%-zjB3te@MzW>lH2GW}wn$Vg(q@o|u6R+R%}F`3LSozbQC)q5~@2z`5J} z$0K9Nzu{J&#P5dNevNeLtm&<49latWDNw@xLT+;rw*!N3{d_bm(P6gk$-IciON^5k7)GlJNZ{H7{ZMbz0 zM9PR}sLNe;07qU{cj4Q=YrW35c)6yDdGr7JNSJ4J6ig70WsD2m2!BNYF7$jPkQ?VY z2@xi+iH>Sul{470fYi*a%oiDBR;-eka(%ng{2Zj>J_BS5{Bdw@|2!~u0XW1)F)6O6 zbvkb^V^pTHJ#!IGtIEM@3`O}8;;N!1 z##_dRnVIQ^(wOoP|D#{36d=ar`8tQ#0jtBn^W;!LiT6Z~Fi&!GU|Lhe8fdj-WI2P= zwpj%zF(|&a-0Y>-eoGVap=}?L%^cr5c0ZZb=Mes;2J^vcxLOstxk8rMQ@@sTlqi_M zHzVx-BrnXt8D5&(*tTn%f|+LuqnHU+b?`i__ujavX6>XTZjm3V2}kiJtm(`B@C})p zX3TzoPXJ*Ssum0lsd|1egPL#t2V!_PXW5I^Ko%tdTAv6$5T=H*OT=?h;U9r>iia*K zmrIz&+D=e%-Cx8~wx(mu{HIfW3?NE#$81+{@<80a*|=6rm%K!!vkOU25f4`srO4Op zyZ6l+B!8DDZptC`6>NBPxr$3hXwlx-%gv3oh|Gs(+cKNtMTRl?3=X@>r?s2LftPaa z)~_T!GAA~VZqfaQ#8PwG%nRb*q-+iDOrIPnN z;W+|E)jyptDAgTOP--v`MJCEN0>n?=n33tCK8)My(7@2V`M%gtEjM+KcHaXD99o^B zKu-!mKcpokC^ME#s&L~9_Ie6LHEgUG1(-M&>jH(US#1jBa#55DS})fE9l+PET2Azp ziz%KPXU%NXuxDjRk`IYbdJ<=;8M2lmVbdItW5 zkHH}QKhTPWKmFL()P_W~g^XYV*cYw`xS-o31@NPm4#2y{Y_b5}S8kj5M5rMAICzt! zK(tD}&{ThJ{}+PRZUeOYJAn?ltbhW=mFlr zphmyz8MNam^;LH~%%fK&o|qa*U(o+iO1_)_l=j==iej5}!3i;;E%?vg+qqD8#XfI^ zYZ!aMk^oj1Llf$J?q1CeS1SyVBVA8D7hXBzxjF}MchD;&%GjFQ_mZuovTiROL0g{j z$CpT^O@`MEcc7zcBVvWPyzMrkKs71yS>{$jzG#VmuL{zTR64ejT*4t@*)qVG1Lj2R z8~Yx+2^@bf!8vRWKUZcnnbU%7@#!_l)DO-2nvC>_B)2bLmOVc9AzVl?KJ33fOJ-&e z0?*~}>$7JtYXA1H3AuhJ;hY|9ojK0EhHWDqqD7~@JC^uhvTDO!p+$HGMgX`caIm4TW{HR{aBPv66QIr=xq&`VqDW<6R&!8 zJ>PlDhO4JK+T9|Q&4u{fCkII#tfACk!x8LmW+qk_&IN>EK@3leVpnC!!}0M+V`JQ! z!mgyOYNp%_cs2u@R@rMEiYuTfg50V%e}N7UkomnNIv-;x5Pu&UhH}MI)bx3raSyAj z(a3}1q?B{3ITBULktiq_yBn_4f>rZ7QW#`Qq1tQ#dyy;YP4Wiao9;|#tUB}$zAADs zo^X>WVXHNd=K;4u#6=Qw|wHe4hZbJGlzEzz^ToOwwOP4Ac}Cldc_E@;aVIsfs{uFk+$w2If;d zN}iD;SNg3$_5+8KEf% zUj!v)Jx&B>xr?r(3o{}rVyW9t-lWqD@F=B_mAOr^2TRMVJv2X$>=ZPs&w9?3@L_tD zyUNTJjrqVlcFS_fMZNUj5PZ5$U(*Kt&vQ!XvzP_xjG?9Vz8SYAqoy`1v@tXL4Wz6@ z*kejFJs~13n&f?0rH+m@t<<5w(DQWSvQ|9y5;~^i^%}JvzHdI+tuU@cjgg8rz+kyq z6xI_?EwlUd;=021k`f=d+0xxmCL8#65YsIkqj)+4Pw(Z->Q0*BP|OwT7yhiB|9OYi z@2Y88JQNp^mO`aj<;YmA3p*1sR!d%j0r)cX%B0m*^6>cdK4dpNJUTf}9`T`KJENEYl~@_scJ5M)N z6ORjAb7(@l1c$;xp^yaN;SWR$ge)C$qM8Fg4xM9?&pB0JBESkKGDQ z-hwu3WHeR2r#O9R-vqljoIVz^>{1_(AnK#x#CoZn(L^6$@1X=-Di*~R>tgf+Gb1qY z1ZkF{x??uAANO&Zy#tET4&ETnO;E8*8!eQ|b|Erfg&TW=@>_<%&0mU+vo9EMWDiO~ z`dehgc}XLVz40hcgL{Vx&uarE809kSFPE3*Xb9@H**vYh0J$C1 zFY9S0gUSu<#-qVSwuaPga8h3gH@`Qo<^0XT@c|EVe<1&OVAZaih5Dv2cD3mxv$%r{ z6o7=xYPFtad1cPhZB)6>*wJh+I?8rGVdk+6+Zha7|DeJ$r9hr#&M86#rISAzGC#gP zlUr(dJ3)i?0K~#R`@#F6coc@JR^%U|mGA<1cOt4$_mVF(tgbtil1gez=IPLz^85~B zHFKd}KiE~F+9V$(=WgjIJ~-APwL50Dfa5IZ6eq*8R|3V#xcp@J>DkDPs5xf4-b-Ev zz~dmEXl()3clMMETl%wC7_rgZkfI7y7%LQ`jbg6`d#Lu|Zl1g!(oRHJOseUkC~{AT zZEa4DW?SAG(`-R>43f)hli;g}_2oDh0*L?_C|DB$_II#cCzE1!4gJU2qeD`+d<^-i z*A-^-F3Y?k%7lzzcGF@%GwU}yR3wa@A(iE47TKT(hefP+TU_~coM*<|ULbJ<9e1fH z^BZK^TsM$?N**%33)qh-D-7Cb#+DAO=2PH0HIUy1PK2A5WCg3TC(Bw_71Lz_c2u!q z9e~^^!C3$-B|G52AH%i>*_?!k$fNvT`~fPnJHahV0hV4%TU-pOw0qzg?K6IS@Ac2R zOe>pHK+s4kMg3qQ60A=`ByYCnmX$FGoB%5S?Zp$NJkKVHXIiEc;UH2NN7-4&$`%((vVDste9z8C9KX5LjUP=N2 zcxZb=@dRNVr5}|gVs5IOJP0lz?geG*QP>s^edkg&hPT;u)({0B9zDF1Ea7b!M0*EK z6G&w!z4z1Kxj~cgXbdckWBozRPk1wOFpl{N*j@g|n#`&52b6ZBLqjFdIR!3vFn1Tr zO;4dy58vkT0Rw?xz zNt^x=T=g0V)9V2x8;l5^sCE<7q~Z~_+oa!{g>}yc&ON*CGolnto-NXgG|>+>j`mjidiMOIo;2T#pQH?a0KcZw>vl8BYsC1@ zjTpbHMi`T|Lb{yfAh90}E1<+ncPDt1!#)PBw<*(h5(-(r6y!_Z^=lH*NW9V^T|7{q z_h#LEEc3jKPMbrY&M=UP40*KX?b)*qP0W~2OeHIsbA+)}04luv{`=H?I5=A*_YV*6 zAd4Xa%37`>kisw>pbPBwFZLJ8u%aA&)G~Bbbg)}rtj%fAY*6P&OhB6*2W9RosnKO% zXrT+?ByoZlLCl9uM@o_=Woxfk6}jKU&axaF3Tw-C$@xMt(>qnti1qR;NdI*tXWZ9*h4V$iP0Ey9Wsr24s5gV_>E2+P={wc zexY2J#3i-cQpYW_d^s&Pz&R)ZqVFI!2OLPqH5KxdreMAyMG9RH8_?*?L4@EipOA|Q z=09av4KL<8W87?57m2tl$Qj1zGkUivAwY%qR_z;za4YlLLSKU}$-d%kEAaZ*guFmw zH++45X;64EBL|XL&8Nhj_jb+W{!l9-0N0^^4*bTtj#BsX%6TzAP>bfb?9!YDsbqm* zja@K%=mzBJg&D~+am-B3H{LC`jebrnoo~8T`2hw9%DGCfZLOFEj~=21%)3>w!K&4A z?@#wAwkl7}M9F}`6l&2H_<>Nb88y47vP|>ySw&e6IOwBmev0p+kE0j>$KN;mvCzTNKO2 z;~iq0=&Zefhy?lRt?$oF17K^cwiHPp%+}{-Ud&7ffHiRrCxwOTf`lu5B_~^tNs;%? zGS)|ZTh!TkK^8$?FA}BI|CYTh5=U$sNOcNp20exXZa&g}#^2 zPaT-Yb?<4d_h=~kO07AZ4QYOJ$riP@;r^Nf?aG=I&_OA5o0iw3PX7?Bq>H3!)#NIS zVQp4hV?mgH7l!c~q)~hL>?ee?29r#lJ`i>@+wf#^ap5w1?ALJy7te(dqZQMfo?x{9 z>(4(u_}S;5j+&fON2kefw>TGPl=n5Y1ryU!RvhxSTX3@HDB)xUs?C@pOK{TE>*`*w z)(vp!1N0Q^k|}&o_s*_Pg*j**OAaNKuICrlMD<=6C@d@Y*+D_p^{j>O1e@m1(d)S@ zwQKCe{sy!1Kd5=X6xU$f57ruMthv8h!nWtj`L48O4K?_%Azpj#&c_z6*pk$xaod$CSPyf$+n;B^}#0&XgBce`i9 ztf|hiYo0Myx%nlQ;;V>#J7`CHP#)hwWH1t+?@^eUpBEPA#(Oi28exVNc$lTN^FR*X zN@mFeqEg7~l4-B9D?Z9Mt426Pnprp~iRY_~s9C6CG8hG;M$6Wolr!^M-d+jAFa!zR zi0!G-8P_nmGqntvRikaTXdgMBQQR6=AxfP9r4-v`qAV;ze~;bcHYues`_ zHOAsDji0Sm-%oYW&A)`h0DEp6l_W=eoUiLr(=AFxCa?|_pW`|H$$Vad-c6vvNK~xz zxn<}GrtH8|+nKPYBSdhb7l3@jqupvqpL3@l3I*5l!*P<_{iVm?>&x)P&-Ck3Uz#fc zy8T!8&PV38VlCr0{(WoO&3}Qz@ar{vhS}rfupWM~Ujuh$bqeWmg#K!0X8lh&`RNHf z&r6IkIw#qb7FzRdmkNXSn|Mi#Myxb+Y9PFD_}aYd$gO6d?UuPQ$IX>95H&aB0~S8B zpxfLkB>Pzw(OSQxYqziV%yjr!Iw{~ho(xUnf!W>#Ya!oj8Gq3yeDU^m{xmhm2(vT1 zPOo!VOwUr#Hhqx-+sDY}3a!(bS=F*?8?F5*UH^uXpl{iLSLrTK&aRdf2B)8<`5X>Q z1D|UyTCH_>^{?y`$Wwau{nawhuBwZrU*FB&CKsSH@8Z-uK@f*>L!(?fehB;=e4j}7 zQcE57@fo$vD%`8wo?wICAJ?x@5WH8i(pvEnk+6Lu>(1m_QQf$#6XM{RwV$|DM*d{A ztVq)e?BhH~skrIIi24vyz=dlRb$lQn*qq_Jhkn(8Wg0IJDdCm8EcmfjY*%n=j;l7)!;C;nW~oIs>MeH*!2zT zptYSvkhv&=Ox0>Cp6iK5h||RZ*XGK-9AJo%XLebV488Nj$lMEOo)*igKj}n^qjOYGn$3qZO!0umd*Kh-!3aL`OZdZSF$eS5LR`r7VE9 zQ!evlj3QKrr+3IdNR&K9GCa?VbSuhH9_$f@32qb+F9*iy&ddY?1X(O#BYMx%WrEu~ z`!m27Mg{3r{;1cJZEEy#5+(Z^p-+4taxVBO19XEs9Xi4KZr7DfKYe>XB3o2TU#M)? zKX`pH_e==lmWd_PF0#BkE-@{OtJ!VRsQJ*@OG1k74a`EEl9)_{Q*_Xw`Tb{b;f79) zfeZa(-zWK{SuZ{=^5t*s4#$TNJ+tt(ZJwpq`$VLL;mj~3acEZU%~paEr{Xm7vY$h% zhfOetw(*xNA!;KuH3Yhy_5blQ2W---B7bA9{mBeC9tWd3{Fs{0K4ki0=(-bzup-Sv z#NSm>ADzKLd8XMI;J`f|j3RWOO!McF$i&RqTUU9E9Fan#Z5`C10G{^tV^+(qguYw{ zI&fjWxw2f$8EuwdgGG|<%7TQv9cl|LiGSh)k4L?g+HIyt*6r}CvF>aZN;m^Z#qlwZ zgq>;;YM;7&(oj*&FGswWd^(5{#s?uEKfvRY+jsU!({9$y zDzCqJ4=!TMJO5ho%@>GW0*nOWX`<}&5J<#n)VI2uzmALb%9ISAO5JOb)0w_a#`2R% znI?`$x2|NaP93m#YN5pGE=8ie6!1fs!L2ys382w%92?TZ=J>@XJix_)5PP0pH^M6H z4au-F$G9BH=;Bc5YGijJ_0ElFd<(yx7G}PhHC5%T$|e3pE* zxZW;cM1OX@S_2YhYC2NoU3H5jZ`A?RvbNh}sN{47#N~IveWb3UC&*V0@{vD4J(;WL zlkZU79MmIzfQoE#)){4BSXWn^CbuXRIL|wch;eJ=GDMM;T-RKz$MS zV>sV6vGX1#}WMV?!TNVI}*wDRpH{R!WQK2bhwn8b-?d2$;f8pID{gx10ut<1+jmVit$d2m3Gl3Q2^S%eg^-8+g zWU0!b0}+J11U2Aq9`(x*V9k+IC<1E3@!ZUi{h2vxZ)4|W4zhTS|cq*ah zp!AuIOxc-$dlay%>g+6VFYhuE6X7Hy3?b|)FyPnbNQ(qwk%(`(1p7HFw|34U=HQDb zPyAn#+;p`Inr+~8WXwlK$M4%fD?h|Jf0NC!Uiinaz6i>$sE-_dxv_-k_*Drxjs1nY zwx!;if1|eDmJyB$rj+$!x|eB*Q%RU*U7DWRe-Ci~J@A=BfUVV>^~`_Ar;m=PJK&D} zVx7DFk$825zZSRg2F<%{Dpc15TGvb@EnXx$0T_r9g6`2DC(qFeUphCLk`<2vL3bEu z-CevDH83^M=3zqbYewE($U!I6yfFs44tm}|HeHkTYN918JYr_$EIEFNo8+U@tQW z2x4{1g;|iA?7+FE0!AzdnuL}Q&M^YxlvkX=bLcN=rz=tTDHsB}kbGp&owHdG$p zYu4;wuU*(cOUzAG1a>avzl|DoI&RraetNG_pd;EyUvJ}9Y8w%e43%8DsbHsreAHxo z|JX`PydyH0{g4V~{9qrWhBw#bHRoh2Gj`MMqMoK|?HAo#xJuTJT~O<4g&f&m1YX@p$sAR}+-v-F|>+De}w} z3|{4&lD6~jDk+n|9JZVTRZ3NN_BubB1E3*>1-`ChML-*Dx3(Em>cyvNWoq3nTj&by z9m$Zt%qHJe(sm0W;E1S>dnn%FZDCDUh@vdln4a#d$BYjjBp>lIm?7pKcD8K-zq?kz z;QN;u8093+r;T|wlrG!3hk4`>u~czKA<^k1Ls3@;{&bi$rSX`e;hxD-%}KqcNrlRE zm04~sTBT&ujoAj4fi;=_)FpUiU(@F50xupLw*M;Av|lE*SvnDp#|SlJa}?YCJe?OV zp%GR+J9Wf;Owc!-5^RauA%=Qh;)>(usn=9XK~JTilQ?Wpax%@g;C>dHDO($hH1opi zn#{uYM&Z55u5vLR>=4zSTKlcpR;Ee*pi<6^ZuFDpE{kGi-wyo*+zkv1=m7k@C29#P zgPIV?1$UxnrWc;;Rv4yt`9^WSWHXh&4&hER^hfE#iB|G{3pi3cnOiqHDUx!0Y7W^5 z6y$ucoBt2fQ8kd^d6v$1SzXmqf8RLaf#!v_@h+#gF=`d-oKANuj&kyJ%c&tjtOfhu z2QlIsXBPIN4DJvdRi;;K|5^OWmf+uRESs%=H~i9YGt2KHCoOtjQKWs=*q->9q+v|Z z)^in0f+96(|IovT0bHG@fUWi?Nx!OYevbry^4+8!H7a*=Fpr~&S_H5aQnW7h)=jbH z1Eud>fWU>~9d?Ym$(zF1=nJ5&D$l2b@au=1vGFm0E$-M8&MPk*cs)wo5{IpBoI-rz#Yih-Wz-rKmJ@AVSdv*) z3p1qsp2nZ#C7Fr)oEbyOj^CA5U!5w``GhLD`=7go2RFhHryRF>K@M!XDD@=RvTVpP zS?b6m^lr`6_U$Oo9CDUW#Gbk|yCNu`Z~@Io%@?}J7g*dukX78%wrVq}!0u|a>nMb` zMy3Mas4`1mnU+iFkrXMb_LCEJ6tKVV<2azYVsr#bZ_U?<_P+xfe(2!!SVw8BnKASW z97C|&)YPq0T!oyrwQTA>C)9an48F@Wr-0TJ)95}cA@R?wJFB$YSVG$J=x8&wUzONL z+<9jpZf1sn`Szde%H?J`%c@Zij2))sM6EpFI-qkU=Gh3v0%Y+h9dT)m{fK{Zk-aeo z)p_!9wtNG3d=SbzXs^FqPK`N}_IdRvD}v|N zo+x;0qzzp4Q)7{uj|p3_sq8n*9kXK9(SV!Rc5uZLrshR{4nW4(p6mjz@8B(Ub&-`Y zERX^a6;i}XskEZf%33+K7=8s|Q+)N=6Ax$7$pqw>Y&E@z5PL-W!ov_6d*dRjJ9?l; zT^4tl<*WdJ7aEEXZ!kJBv}cYM8Y}ntkwV-pdBi=|^XZ%WQgh zOb7ml$K{OpP9W}l!oO~z?@sI`*!cb!aq|MsQsU~LX)d1t=xJ}XapULD&dg`pm2G%` z&Nn8YKezxRsLTM>xMilZ=K)S6Xe7Bd!<>2ogz$)V zRr|G?Ro*m3*A0bWR3{mJyDQ4w%6bzOD;kJ%;_0?h_uC+-DTN+o*L}@nD?VS6;Kg96 zqRtTP?$LV2nYTl!WNMSJ3ET&7S7n$Z9yB(*&eK8Km2(7&(8D5e+t?_DC>~eaQK;7{ zwM3ojtdW4g!shnYZU`Fe23WORE%UTAgO1%`;j7}?gzawvNMk3%#JKmqguoiToOm&I z#*DC&cl#3g5aRiIsfO4oq^mqRmPCrv=MqZ&YA=e7BLDdL67&s&BdFjwypt%HZ~i&7 z!J_TXs;`y%vHMjD@9R?q<&|0c z%yXFTP?SnBJVH?JFl*qP-#2F%fN-Bb0vW4xE_ODT#Lk~!kit@1kyhJlcNV@C{gb8(E}N?Qd?t^kJzuCeOXWH5!!YQm%7B!NwjqBSj#sB1YOJ2 z*iLy0tHEvx+4Sba3E66xR`K<{vwO@R>`q6j^CWxL#p@vhuqYira5JZ`E(ULk1h;v; zg?9vV9t>EBnPi9@SvT&&K*DRzOOP=R@X4dYQ4NbhCO#X?TVuXi0Sa!6%FfW=Bpj%- z48G(xwCo%CFdy7chNkO}jz^xdiTPO?0~^!PvHf$0SV*+y8<^tgMoVaAhMrUPNLM=L z2rZj^wB6}87}?pi_$wMJ`1&lFnYT7)Ei2`1qiZgBDhRRQ}_0%juGr*`GkfKk%6n1gwybZ=sz;-Qh zo<41Ws=~dM1j+{xIN>*{JRUpz-P}oWOH($q5|=&q6(*>j2mb+vU~9v;z^n9?=ZP1N z{_WDGkbH`WbM>QL4a$@VM=qDs7$GFxEMPwL*El>%NnFaSVCqKvcRc z0lVdFH?!2t3uqcF*I{&qZf;%C`JNtL6NojNZiCb&)5HSz+Ap5Gev%B2c@rY4`!Ak8 z`7#-vxZk+RQ&hKW&6_g2F-o3ftHHeuVYY?|pQFl@4NIQ>4u2Ultv<7#juu%llzy@=Q>n zi(-0VRzf=@;)vBbZSQboxX7{%EII?mu#(e&UhR#UJlS-lcky9p}H>qh{V`6X}cgo{bpy*_Tw>7mOeVMz~q#e>m@OcQ>#{~ zs}c7}ev7H9({m%@O5{;np|xZQ?h6Rzp*Lv-c12|-6;D6FyJE_x#XX<~0rU1_zHTf* z)K_R86x*%Yz0I$f{7e9m1CKHGvyd1z(7^16v;9nT2C>Uubac66A*XIXjxfc(>;tL| zl9oQx@Y&&2^6Ox&?IpSS2Y?3a46#viSSdh61p_I;JQ*LFUynsHfLLai)DJ&%m`P_5 z6Zfvga)e+=0zxWVHpE2kHna?w#tDAeM?wbO`_MG+VO-y@kxsVV_mC62Y?Mb!uQMxi z;QJnpoGu~@G=A;<(V!CZ#>qWw>Pqs=(sbu;l1s#ISqbXAn?=KxC;_-~WFeIqgBwlfn=Ra?%CcUD|V@AYh>2&eVF>|-Trziw(w*fbO6*}a=AC2q@TBCCX+yi+x;Z%*R}mpQuYy^bmvcPNXbTYC6z=AL(xd*y@bwQ8OyX3+Y*q)}*$NgiW48>`x29-g z9m3Q(Cp9Lsm`hoEh)*cYxRPvM9$A!31Qq|--aNqggBGSE9$0b0Ve6*_MEKg%Z9Nrx zJNW2Hp;sOJSXH-v!;*eBm}KlWMSe8NVe7iiz)Ca?o|hRVi0}8qZ;1qSAMjRGr8~m$ z_vQIFV4Uv}%O6_B=2vpGt1z<}b*7KaXAlvFhn*f)5uuE-J$jmwniQZ}RDo*x9Wk4Y zaVmeQTpdX0KeF!RD&DfZg@#gZLY>;xE<4GStZt8NMyP`#wtSQo(yorbehaomeZDWF zFWqmIr~Ge!H*KWKI84s7Nx1_9Tdc00tcw9m265-3p(F~xU3LuMp4B~jI;f$OvxfXIm z2Vdyn#%!5^cL+|MrWfOP#Kq+n#qE8KdNeoT&G!Mr!7!h0%ELDNn2%$4#|W~H;(~~e z-urdz2O(1gLo73e>IoBhmFv0}n32pxGg_7r5kvaWh>J|W0` zVeH=)VO~WdiMMu;yd%EOVNq8Z`&wPwOd0SZW>G1#2$-)#SFX96ka`_7HK&ijuVMb@ zk=xm5o2ln`T1f=*kZ4y~*sAtgA3&8yK90^7K0e~|U3)%cfg&Aojz+YH5Cwmnd}wnO z5jTyOz-k5a0$XGjYAXr(;B;V`UlN(X3`R(D|G~Y}4{ffUCHVqJO>_2Scq3vW8@tE@ zvj0zgtbU)vk7v0s%jru(P^O8@B4%s2B_oTUgn42{zmOB;*FLeISE|qN=jjI3OiH5F zr^76qH?CKcsDbVH{^Dy&zw<lNmaROx9ad#aF0B0(eJW1arsbJA5=Y;oGh0u zI$80;ZBPn7=vT!mT~kk+o)|2bgKm1hbX~!U3MReImJc`%=ra5eH4-#QP?gQm@ zQ|;h2R?*!Qf;J4v_)}^7&J1I_u(Cu&t|R=^NH5{6CgdTUITqJpy0_dRaAZH(ZIBl` zU*fqvqk#14tuln_2ZSm>bmMRS;o!xK7s<0{ra|UE+)w~1ox+wkwwcsun)L$cwAp7d z?QB&5SI;>MC@)??63Nco`WwdFNu&52Z3Ht~0ZBKDy$9!oU5z!p=m&^m<1!rJw_2d05OwnH*vwMgAj3E8aNkqm1LHBRfusYn$! z|11u;WmTqTBr38Aks`FV)E9h;#@$+S9JGW9Ua96hf+GQ;~v^aGBXzfjYowkigjUS5ulbb`A(B5XPsB1zww zE25{40VEj13%XArzk~&O(sK@eX_xt6ABiNQ`ddU@pPJo~`sDZh2e;>J6EI3tFvf?B zDAKhUjl`RDjlRn9qd_wTgbx!L!trpQV)q)Z6_^qPIdop_Z~}hr$B4~jd*a7F&14kX zj|ex~D@WZWb`RWl>JY`^oc= z*X#)WUASoelOAU4bxhEkt9be8^Y(eyNQqe2_!EJ?Pv8m~5 zegm~tHh{T|L5?5raWc5_IS}(U4n&%=PO19{Hp}tJU6EUUL;HPl>C$iZpSykp!SK^4 zLhEG@t{$S3RBJPdf15#GtO_{k*uV-hDkxZ~jjzd_dm%q4gS*4LVm>_t@cZ@2{iA^o zJ#CD7=sH~@Z%R(Qb=rfh2`HPP(1L=(QQWNibnM6#_b#!H!%-hcYUO+%rSj>>i#)U2EVd5|>XBR{I(R_Mz4?^-67%toGnvDaerwJMv$st%qX*Df!_uf zslWMNPZOcdJP<&b>tidNN}XdKekq_a|Isdm<&zin+f!t{w5y#YAcWCzTBELh)W|D0)kl4rcy&I9Vgx=j}U(0zeCDB z+jO3FYPR8BmhBxp3t@FEjGBh3$cTFLf z>&UazVz8iVIZ=krB8tDT2jrE>lI~P>^x4C$xgKr7+jK+dDB#YgZ48!m z3AV~HLTXh9OQ5-$fb$YXz`)Jd);mlNoGmYz!L#w<2xO!9M6 z)Y{DZf6?>weASR3^&89S1^O#c@~(Je?3ZYI_O4QlYUgbmAFUaw=R@pga$UZvrLV&^_@KzRAijV;DO1RkG`(Qnl-D(7KfDxjDl@uE z&LdCL)g}ch8*o;MKLCy$`!8PXKYM21;^yD_fZ}rHHo|yPq%(By#ccU^tA0PE6Ntsthh>!D~0B-GM;;Eh=6V`K+ujrX8(-SLSnwV`I(`Rc*<^@G9cxHYcJbU3LzF_^$~y7UeR7oSj|W<=580!XiD`DF zl0+Lm;{0d%d%xqAZeHQU{CW+uarQVlwAtkdEP(6~7Bmj`jk;!8m_hA1D)6p7 z^os&z3uw2xO62cIoX{*3U@;@|4O0Nx@&l6LM*Mu|*?P(~d`kb6;BgQrc76f;$kwt( z`RDtC(K~5Pb+ufrxH)J1Z^C4mK8A5*7Q@FB=dbPo@xhY+kkRrk8e!}#>GS1GH$VhH zMJvRN#@YIO0L$zQ?F`}@dpBJHadv6OjuFnk;*JQY;v)P&xOl-?;v5M&F3}~ST{`dI zGC^I$_+(C{nDyN>ubM;~C5E9p0USP(WuAO-_NBdvbuyzw7G?}?zt2ik*&UvJ{e>`W z%*{Gq=Z!KynjW1&=v3`!!g20%2Q70&if@acpZgXvDU0>@S*;NIxo;uvBS$cHT*i=P z8{iH1xRC^grn*M$wcLF0!4JV3+YTUa;mnFC<5-WdI90n<3$nhN1)8Tdx&`dE;&6+p z3J43WX4Hr3S+{A^2#|zpIC)@$aa1lMhoHm|yaBOKyA8bG5{`pYUUN_pU8&=8>?8Yj z2W+fNGNja{ty)zRNzCElz2lS9WO#gZbnoO?rWUpcRyw!vP-jaZ*KEz@oaevdhF?1B$`wOOD+`o#NL;YZ0G5^RIM2y_!61a=nSlA(Q6m6-;A|GjV; zP*6LN(sT4`G?KSPagi|Q%Rhpsd%HQ8ypolXA^9_&v(U#2S#}-^nR(#ZV6-}@V^7`M z=Kco6pKMQsRW>3sfay*Nl!%|t41vGivLCiUO3**UqVkj7GAFm4x$i75%otgw4GbEM zBSH$fb@E~WR+e&fj$$VTE%R@jXBjYI1AB@)zwotMGd-|CD`SU{b*zlN|JtI_EngCo z|1{Dj9X?E00x@;qTy7OpYB0~yQbk&hlJAm-M~RTmoaaSRHZII`)k>7|J0k35w@xq9 zWe&;i5STLElMbM7aq%DeVvkCp8?qpZD#+Kg5gq%HFa*fA_S$FFVhzX~k~8H-o!7J{ zZ~py$=ug(ki4(W?BZ+U95o$_6i^}j!7bS2UYykTAW(r(?Z_+g=Y_hcDayCO!)FlK5 zs?jYdrtJS>&hJ`4abxThPg~G69<@{JoW(f_oIo-QI0ew$k0t-;Zv?t!mo0 zmoDHIORj~yPds(Zop8G0TCJ*3krsINqu;wdh&#*?8`>4cVjNGSh)#b2 z`kMz)P)h^{D6pAqi8$jRp-O{btZumML|`_ViOGglOgk$*pPGrD&!#C6m&5IYQEwH| zo%L%x<^XjKPXrH?($Du5vgj%~9`8TU3nKu0go;aI?{E(s2>v$|kY!L{ z0I>7N}4>qT-1^^qC!KsGnvTUa@ z3YYUHs)^&o4lmf}?psBPb(%+aS8B$9gGSkASs5GX-L%B9jh&uKb`e+5c<5xJG-*iX zjFLV*&cKew(gpZ&hthBUF&rGe!?pQn=K^J|`d{@dhnj?IleG>u4xg;5-3HJ3UHSDB z%xhT`=BO+7Pk+a3;BpN8^APkofZ#EVWb2#7pLI$gD?iSZ_4rXTetdL#?|6JN&>_;c z@X<)HG$qYWnBG*iPH-Gd3wQ*?X*eEIF0JnYAu0&NFhAD7H9a(gZ~hW#5Gx;+w^s_rk-015lma2!j$~dQ-$Lxvcq7)r<!MlZhY3oF8 zHeG}tocfESY~$o-Ifh%-cb3dXN}(o2BafNMOWt?1gy&{0&V4ttC3>tdj*DcLDAQAm zgP3uNIeHPSk$;1CGVLj}nS`VV)(#A95VNHS$}$&e$H)5tnFrZ_6Z+XlEZV(lh( zL5!FZFl&&<7g74F%`=kW{Ja57T)zs?|NKafO=!`2uJWDC?<4 zj!8!`$h|lmSmGY@5Jnon>V)ZS7IX^_{yr-U^CXms_uzKyyhP;J8&GX<**QyLE;2&2 z*&g!sJ=4v`JOpuPU|ctkjV#>P-V@QN#z}lYQD;S^=K+l2mZFqQ57+`7!0-+I40c#q~g1?`LJbXS&&8kN7XXO>9D7yHt= zm7!>Y3mrA+$2UfK)u|?~vlOEB&4FjSz!lMqsj^Bnm|~Kx;Y9FbvjWfNS;d80Yu4-n z%}2OtvCqf1VG6hiQ_#Sk(1G6!6wLr&K%c*&*>kie$5&tMZbmE0wJ zaz^H?U7fkFbc(gx30{6m>6y>WhVZi3CZ7_}?;W1>ZvK&9t8Zw*v1gmD*UQQm(MX<~ zHEIU|%LMkTDtQVt`+btbaC`zK0S3e?fg9Aem+(Gr1>YVCBggm}IcOY4u*qq&E-cmo z)?W#Ld##)myGfr`%6-4uR?Vna+U;Zlc|W4{e1NytUWQvisDxijyg3E zmRY51UO=qHZX#HBJDnF5eFX%Cer>`(iaEj&szTYah3vsk9KE7c@jOfwf2b0QWxRQn zcU23B8-5ON&8ogt1Ea4v^<)s;wrY9qc2yq>moVoi#pSEhWNL=1InCKFtuN^5Y$g^a z8l);t=$7^Y7*&vofZA*x469~wN+Za$)Q6z>cMV;ZlEPzQBoDRk@_~Hni7A0hAi8pu$piNHqZ7~@A?as@=rZYbB*bNpSkmbUO7(!kkUNsdr#iY2(d)3MJsXBE{ zX}KD(knx2!4eHg|fOKyo-q#95WFuJvzfdEaYY4`5T>j`l&Ki3)W_PQelCGBd7OawWc4dxH zsVKLps60wNSq|C2jEsZ?_7gkH+z`jy<|9d~uW_co^!+;m`6Qcc2w6Fhc}Xvef>G*S zR2Mp9a0<8#kltE@v;U2GO*pNa&Hy)I%{XoHv`5b~{rvf6KWC2^>Q+JG6`t{}mph$Q z2nuxrl^*d;0X_q;JKynX4fY3SD*UUo9-GNiM{Am0K=Q04K~1PjK7S74)92f_dOjfRJ3hDMx%nQZ zxo^N}Qv$*WyaY{EIF2t$lq7~GDrAq#zWkzlF( zCF;9D8NZ!8f1dnO7TDi*IW=aXHcO(phfNi88~LDHsmcz+` zq+JX~M9!NA$E&ow09UK-yN`lXd3-f@K+1Ww5nha?Aw;F@R=|08SANhLTm7PAWInRBc8__ zr>yP-27P2Ve-_DenmFD~JC6n?RDE;xj@RN+F0}AYU+7=W{9LF>2xR)l zT>$~-4_=3&1RhdxzDw-{Vg7Wr1;M}lIB_=HO=a?fCjD}|qdna|v!^$i7-2E*h0YnZ zv~uHChX;qG`LQr#5+MyYzpQiS)KsvwQnDk>p**UX14cnz$EW819}?Piouv839M_lz zQq!Q1Q;G&u8)HXMHC2Z`P?ToJuDw`94^o{rA|13YomU?QvQxpdd`GRsIn87_O#SEq z9A=Q>vJx%<>TFIrB9{b4RFDRJ3olz*QMfMdoHo9k;E_E+>~9xkv9oNE9+(={rI8xM zm~`eP^5tq$^(4-brcmA*o$7ZhXdUVOZCRXW1)av5j61B+qJRRbYj_fN z*r0G5Rt$-oXu3g3lagBK=6rUwtiTfl%Rx%({oi=+9rKblfxVrEWt^haiP|3B9)7L8 z^2HDFpAuSH|O19w;GJPsmT;EV(8Hex^n!0 zxe?6w-PCwz8$T)<>bLx;Dy2DS1j3S&qr?7$vxL4HaY?ZGU zG+mwEkBlDvDMHi6hVfunY?<)XlD|2zVp7c+j}yEr%2Dg~UtH^1nT%GjC{L|T39aQK z@w2RMQ{% z&N`!Fn{L2;KpOJN_>s#N@sYtc;zUz{29D0?l~Lx6FPDlb?)1O+-fd_H+B`Kad0y6s zwcbje*R|)$l7^9OCiq8m9z;{BFnNhn=Wmw*mR@8k`!Gm6q=zsI3=9bJbw^3I{2asf z0U(5{NpZ%^@0o8x!?Fia~6*wN0QB>?TT=Mwz^fY<( z*%KsY&H51u|31u5O8>yo%XKXd1U(&jpKJ%u3&2~*1%oGvbwIHZ;8(mP|h4{GhqWxqmG+gPR7tIcv+>A0_Q zxPL=;eaUwTQ;tHR*!sNpFdrHHudo1yF$P@1*kW>G2**comO6f5(-W#>O}%!7en8WA zJ`l2@#h-q0Cf&^rMDyU&CIqEzy_ZPW(qdstGXv=Yyr=7iW_+%0!6tkP(XC5Z8SLn5 z?ZMVI-2C6~HPbQ3N`Q#57K$PdF~kUg+e5pGQi|;qmy8IuX+ENLPrz3jA8%JFQVAED$X`E;DJ=Nbyx@yskz?30VUbZU>)3?91 zJ336KD~WdvuF-v1U7KE5d8tRKu~IS&=W|73vv42LgXuJ#WvgrRrT!{@DIbP_+ciLU zeZeAHD_`%*i)Gc6r%TP7EmLFsf>NZIyP#rEjmo_l{7L4eHoq=m!=GF? zrCPvsGh8qTUq|$~wxTjUnB(OIgKg4vvA#B6sTz=LZ&#Vky0IcemsA|>f2)dYf&+pw zEH9TMCL}zJaB;0xk1IG*-h9dGz2vpd*3)a1rSmc-gCJ3u;vzXqCksscvJc-&Ua0mD zXbpKh;4iQ<+df#wR;pWO?3Xd1tS+|)^Z@h|*flt;rU%vb!1NFy^Pkp8kLmVQ=V4J| zfL?5>$L4%I9VElE=^~r$KsDhhI2=cKZuWkE4F|W;9sw3jwe(RWav1t{(%A|e!`qTv zmNvi$Ibdcrb6UA~?^wHRW5B&2nTp}j;oi z*$oP>!I_C)67C8yfG@-qxfkRuTjbw;RNXlpsQNNt^=_>X@9JHj^<>}QvwGW{H{|wX;*5Te^;%?kB{NM}G?0$31th?gQGE@h1ATXe_TOLhxaQGsBw&uI|eKd@n3E#HF#GhK?BMI<0`R7$LFeH0P}TV*n?2qvz}B911*;3D ze`i^1`;_ZY(-g!ikRLDAgTJNRlqA(NHm zGBf{^7c*k0$XC7OqR2J=MC=7PTKJ)N7FL+;XhD}4k_^KwjZfVkAW2%$&q1>|;Zolv%s4kJ70d6iH(`c z>CNFrj>m{#Nyf(y9@v;(jy&)l>{h)Lp3vx)#?;<2TUHebmNLh)NWUMJ#EN;=%ban}Q&I|;=IQ?(OsFHde zH-GW{wh*p>U6^L&PO*6#nzun*7Xr|r1uHgp%LuOQ-}*Fc#>N4Lwe3*e69rKWuSqDD zk1mer>=f1ij(Y`U&E%>@4E=RF1U!2E))I7$m8>JK9fd|is9^d zYGw8jX#8gXc^LLTf{cJ8T>NhS?E7~Sv}@DX7Bm*{ah(7aL;-jaGn$~ZQH&!irhmsI zSd9jEV-Odq@MawQQN7e(vM%Hvac-Yio;!~34%eX8=hFte`SF2OowMVjCW zQOhs!Jpu%$Q(Jj2vN8u)lj~*jW|^*Y^Z$({=)LM*a*b zc0Vo|vMS3WolVoK8F%CS1mn|z`MM>kz|LSX@}S04k$VlHO>0YCRE_CSoTH--e#!>N zx*UeoPfcWhfwi7zRc;Pm;D`stw8|#HT$M{0C(U)j4cTpKwAlM}w_OyWTq-(>h4CR7 z{8)gW5^718WzBT8o3>1KL z4u-iBTSoKEpCbmkf)pHl)=E2v0xmH%UEqeYFSVl7;?JIrT51!ZtCkLDMcWt(5A_XG zBAgGM<-|vM<&W`hWRD)D$vYgTb=i2~EKbH_=b^*-X+%^>uh^f zloyG*(d_+&oREQK^IGbJ+>3OnNT{b1^Y5$awAkNX(ygOV(A+aFwc2Vyu)%bFO)0DB zBc-@U_^#%g|6lmc^K_ln!AkXAoKoiD?%HsRBc;M+sfm6wu3FfXyd4vZ^`UsW+_eb4 zHvwfr32^zw5UsY{s7$znArVf|;Ak`h6s%6U+48VqU>=%Ln)>{g)r1_Ra=OW2sTf@4 z^ef@%AQeR{x0J%KU%@|Y<;*KZOn{!yHX|yOOb{rxdK!aZ%KeueY^ZB3yoA7aicXvE zIoo9Eg*(?j$wfI8d8eHPQCbceN*mu``SJOLJBIJ z=TS#lr@Q&X*6G5T)}3T#XE7s^fbw!V&62)t2?b6pM??c42XmvC*waRmmC;gF%bGRb z(FhG6avz0Xq@fx5Q*fnb1b^}Y13y@(D_j#Pe;#wyXquzXU+%UYzr4KWH2Q(0C}x0> zDA($4>o4)#unJ{t`2i#sP(53P?%NL7rD~+a?&ysq=YS5zj*5UWYhIP$ALn(bPN>5L zyhQ)h8Rmx$)cIk(UIHnD`Dl|IkW+i$oANR@9Ztly!tTl}rVbVnE2R7H{!Js2uW!Yu%QNT*uw2;r+(hT|0@Xd8TGeqRCf}0lxb3n*=WJ zA(&=KOtFMnwx$Ax%KS(@0td9HOq_mTxS-_QMNw_Q29!QJNNGVd&D{^|Jk-4l=Q}O; zWe913hU43!6_?G#wzhnpx{RmkI-P-cM{WpY6s0T?rK@3TKFf-EnQj)o^qveQ?85;1 zZ{;wDp3vn8$0MD3P@fVtam|_jjl7}*l4jIVux#zy1&q2eO(X%?ywP{d6+DPELq73( zZYI0wz(JFkwG!YQUaa_hg4+;+-^@QPhpMqo&P%-v<4b!x4_Pflh(F^5+#s8tZb4Z6 zzP*b$^s>jMv~;z}S;&PkXJ(PT1iAnQ<0Fwyl}vV9Mdn50)2zQ`VP1y(a~&g#;4twKc!Utm)he`4RMS#iWqGzymh%qwGf zC)hKl5F{)?zo`%b5s%Qfy8^P#uUC^IcdWyWBbG~TzyZaCCM+6ABc^ItM0% zZLK=9PEE7fyR49i@x515wz$i3ecLLrC{<(a4Z~XB(W~luuail!-YHB6{u!t|;<1|7 z5LAqmEH`QvdN{+0-Py}IEy+Erm%Gh23tkJk0|W@ND-UJXb3C~!nd~bPFO3iX4uQe{ zj<|q|O2wF$=18K~FuRAB?X)YQtWQ7H7L+Y@xqUGLUG`;r+{_Jx)>Gz$Z{~|`()vN& z^W!_9IP%O1KqvI?`Gk&BKE?boPgraSW0Zf=PoIR8^F=JV?5Z zrb-9u?cCH?1$gzRd&$#9b_r~Hf`jrC%meXI&uNH<3QVDw93lMX(zi;t@@@k0P+UM% z9aER#9DU)w!J}bWLkLgHv|7M%9du-v3-IQ@5pFBq=H2;8C1y+TTeLp4rs5WCa(l03 z@i-nNzfRX+ejk@CyB#KQe;Rr-84VWQk@ZP3a{jlT%%`=4VxIvy8HT}&5Idq2*V!PG z5;Xp=F#!%&QBQZ>cfu-@9q$?^AJOec@{eQr#|d;JG-uF5A{`_}$k}m*Ms27`r8;mU zskg$twa(^ruP}ni5>r>4AM8JbulumBNk8hN9uL4*G`}Tneglj|oaCmBA*PyaNS8kg zbL4OSI3CHrUc)QS9w&$B05&HVkU#zo3FciW&(eplH6`R04$BcSi}1wTWjlThJyPY% zc^bDKYf1?J(A$u0XrjBAh^^?P<+=8LW|oh}T}Xz0Q{iA#g%ysP+2NCyGM$(ez|JPL ztiqO?ePqp5wc+TStQUU}M>C>tzN&>TY9}I_%;2%vxTOod&(mTH1dyTrOKm-_i zv-=*zVb~YXJDc+qNxjgQQ|vu{vv{qwv%Yi9D;9=_fT$avJ`(V`Rln)2d=p7~knNzU zJKC~@b;5XKzVLD#G)QJ0CO=E9emyC0;1MO@6Z)rL!v@QZzom*&X0 z3H{!Ia()M}`mn_Q^o}j37p`Vd#Zd2^pmz_Ae%yzJaeoVuPn!XujyECleXCR9jx^f+ zW=(l~5jxP+&$5hL+&|0K+4nnh-dV$dda!@^kjQX}Uqjj4dZT0R4m5Kc_uu?)R8=h`660D_-0X~RqXzSXuOUStPtMP1W)?a}+4>R7{ z(zMTC;@)S^udbT*=H2|^_q%9^6y2Hg;i1*SZLF4(~B(RAcGebpBDapa(K96$6?%0AkeGo-Ql?URCV)rz0*<6E44A7 zE&~OKV288x?LiP9na((ESy4Ji7 zl;dxo~{=2(OIVfM0|_FtAJs<xJb~;6+_{f+ENZ>pW3pZ6~OC1~6M?$ph&!Ix}hpRvYIl@$Y1^$aj66md}BHwv_a5z*$5E)T&yUA*aI6V6n_P}Bl%^1^M%ffXT+F?ss zb<09`s4b#-O5HE#^RF6D<@6NnzQ8mzs~w$aVSE-)&7O-41g^kPc(6b+py07xZC|{2 ze0DZ+SS3VOd64v0WP%jb0wHq1bDvY#J7EJBXs;$6MwGfcqEov0P23ZZvo2J7#~&>P z34d&#_Kv9!dpHYvV7sFx?^CnM6zi)j&CN*q%qp;>7JH45xPG(ri#=9Z(+=S|&=;U@ z?!%@a(?VDZQc1ZL^)F&|Mu`D?62goAQ1cBI*MHT*nE9wtGAX{Z#~M54z1Pt!GCTpa z8vwP%Tq?pm!vKXw)yWH)(KV=0=)0hQ60}FH72ocR;RL5n;1awrhc}WpL7@cV5+ z;37(!StKNB3HexEvIoL#F-M%5oJ=&J?>5qVEUC6v5qvfAwm z?%C_~8K}0J(avSJuIsF@VTPm{|BsJO?upkuy_}nmGSj|k^NpY|;j4}`rMsuV6TN_F ztLd@>9^^E0AQ_~w>o{W0x79UdP{Y(7?U_2Mvzu@J(f6Avj4}Kj2G&EEK>O*E7tX4l zqIXrus#>XY;I^0}=gnTI;(^DLy&m~Ma!PDY0;)oW{HBwlJ0phUi%xEC$~f{$yW1nj zskI@fy~ZX0Hp_bzFj{t;@qYB9>PJ5k=Q8&orYG^@KD9Yuj1grNg-4-n<;mmb@VDo% z)_+UO{C{7Mi-Zx8lmi+rIAJ;xXuDdXA@vYQJqMNQxmAcmc4Qlm(b|l@lFaR68~*cm z7I~zcjHF55kpqI^e#ve+k4v~=`#du<#Tab>`S>`4P@1{)n=gL)`E$~HJgV$HWjbTnO-UjjnkNjWC4?0?A*uSx6A3*(RMd%Q{if9~EkMv`P*57O>l z|FCQWzYMYvB&&OFRk2+&UDZ9^(|dG`dS-TZ_nev8xihmnXSsU~SykEHIh~bRC$p-1 zdvFWO@B<-Xfk8r8mXHMkBqTlrLIQ*>AsNe-`7pmgLIRBV2LkCLfw2(8`w7Wg7vuJF+1p>E~Xormm?>cecso8Fva z$)i|ud>hyGmD)r_z#Roj8VKFO7nrq9wVqm6t8L+pR5N=kn?u?g_=Rp83FnptEZM{Zvdnyr-^1y#eTEXdq?Gf|>rT@-9X zOx$~J%ELNjlFSx2D>f%5YYK%GS*7;7d8QWG1^8E1*mqv7gA_e|>^yxMfkX+XNvZA~ zGePjbtFv0hlGXND=hYfL{W{GH$XI8!CJoEVTJ6&WES>I7cB5R`&3dyy>O#6&5N^?I zXqN2BZp#Z9Hiez%XHA+?I3dDh%@u;RsYt`%M&k(X=muG` zRv*Q!<;yQ#9v_b)LZCJZuYLtykM|JMbb$ZWu^$?|Ig_^Dg}pL1ei&82W7;w#>#kVL z@0G*|NS|LhNWAF`sAmiZrLM|1uuQ+Dz^hvhys_+~~kUnK2Mqjrn$P zBrP`Ss$znJ=M~_+XwKhkmaAl9TmmlwK?x_k1}1U2T5kzQpudIQ^qu6mOa|W%9L4Sv zibhv(o!YDOg>Kf4W!g3t^1ptygV}2vjM^#dU)@-MpaMHH%m{qW)1^2JGeS+w76KaG z0m(HrSPqh*u6pJ2Xkgypkh<*0<^rzI@o1TW+tt8M$sE8lw22;o=tOg-Y(?d!3?ICp zP$)`bLt#IB3{a8bOZAP~_^V|_7)^fX#Jj%zC3aqq%ZjLM1f}Vo&iFO9PUM-T+4!=d zqy06;VlCHaL}J;Fbo=qwT-sR3(l={!(H8)y<65*61oBZvyrJ?j(!!N&jJ$euQ!n!cf8r`-25XfGjWSp5b z-nF~y|KtN7bRDI?E7J4K%~yzec(b?-+YujEsO$n6tWhji*sY8)s}>lrxlGqG)~&{& zO(JC`JEoxdKn}X)?oqmZc(SGqL?kVKZ@ZM2?wWVG!F3nTkWS!P?T4!1uT$mq>xfugF zw;GgszR9OawNict5-tr)aB&SY2v8b6PaK&)R1OCmS-M1UCSMMUio*3Wz({6(r>DD6 z?rwo)3R@bdZ7-*U9N5=+)dcWcZcU0-sAv3N;WKvNmEAl8RQ(eug=~FzvVf&S>6q7P zmn2F5a@eh`438cuTj1$a^&cSEld(A?YC`6VyTd`? zee1?9Lh`bG?7j~*o3j10fHpy-{!B0kt$x5XsW*Z085A(dmlkxcp^Gh<8vXOaZp)&l zCR;n5sH>=T54hOTftGT0%Zww5%%1HS^TbBa#YeE{(&fnI{GpcJ^fodBp;BNj$P>Ycx`ONCx7^*q%I<%+hG$8>YdTm>Q zj}*_;PA>7*Im#ea(cq+>rRq>ic9L`u9pCiVHNH}9#!EG>v-r67exJ|V{;zF(ZxR|} z>(K7~x`wvOfa?fZ$m1hB_;ro!{LOcp-QDb=f7K?Z%T5HRyEUuKVk-4x4iq6*6<>Ce+a@=9J<#kh9 zd9x`1<-SMB*8l#)2swY0%l8C{;fzhEOV0YS^6UPmyZ7Ng`|m)EA6F&=thH{5>H{sy zF-Nirs38PAAQCJ)&X>6vmaw!mdC3xP902ng$hAmU?Uj#${?>QC@P`I!r3Zxrx0ES* zAkDnaSN5r$f#zb7Ri$#X2calh02)yn7T#Z#m`Y8jR#LN=LUwFZud`g6bRN6D<)xNO z%{-J|xR1lch;2@ej09Tty%yUzPG-J-8D#A8dg;rS>EY9F-IbRNiD=-{WN-!Q6BH4~ zCH`MKWsjdrjUlP|)}E?tyH`K<*^1#f{HyQ`q>JRt#>7Uct%p zv%E+bS+P3H)8ugh0wJcp@hc7G_cVR>sh}V(^`X&!@lu7sYbtDfq6-_p(n>K;JV~GF zE+}(BPZ3d{ElNI}d=ABjzXYwGm=Ibjqz*&*9*zCYR;+M!lPcDj_;qSI0a04ezDNV! zg5mqjvM-MOH2j$rSBnX-viAk6%)~v_LmP1MiU!^m>b+k#o`TxCoyFv55FneMUnQ^g zPaUD3=$p`|-ByjPc5O0?S>h!{W}yRL+SwvrBXqAY6LVcr3RG^n0fC4BSERjUC+26V za*)??;;|Y7AWoSqwrcjODqTS|vQD=jkLFT~M|BkI_1Ahgbqf}-SIrB(9TI{CR=o&M zsAa6A&yXg35xY4rmnK+V9h<&1l&`q^^B@PZcH?0DTQZ5Mnb0xk0bfJ-f`7-G1H;AL zg-ZB$W17whR_O7n%RBJ%tU{-rs?p3C_viy$a)0xq_pFuIYrnI5T#TXCoaNKqK_~_p z-RXc`!+&|(HOz$6*z3Dbv__fq>g=|a+^3Uecc2B!w3tFnxvX0ERE7++zMPF|C#D?P zf?rrxsjDoaqIzwc;M#x*3PT4Q`EAt-kG=}YPq22}pQp?9IaBqw{XN`{l^i1oE& z-@|0Cq166Oy3Fy!oa{Pdk4jbENF%Lvz;(Jr)!>GUiSCUCor0FH+_<|BfVLMikzI^0 z(x%biIT=q9*W&r)hRSb$vO9=_#&>jPOd@yv`2K5@M5uw0_O zQvR7#FLKHwG?!pIS2R6GDz1nXPEgcjl?pioQRTg(Q7`bl!Hv?nPL1(Mx<41dq;-w)v7AAERgN|x8C z`SP-d8eab$-`nh&;3YXQ1-o7iyC&|D_3Kd}rFcU2RsK^}kScu3CVLszmXDYK68gnH3k+n~Mr4!XrA~5?z6Ti6wCOu4^)s>+F=;03D!m5zK0b}-D2z>cE?X-RygyOu~ zCSu=J3mBAnQKwxLc4pJrkc0xFmUPICqGe$A+3gZOgO40HOy6A9|7NJB!i~or9UhS^ z-rR$dc%I17;o%OhJH0Q$*44U?F%z!qyYq;_829*hLHdB~R*z`GF!&OL)i5T_vh`)A zImED8BLz(kg2pmCeE?}M*Mj*@BycGWKe;;|`Ssms*yz^U48>2B@g^L}du9UgUXcly zDl&i^y@M(}V0PYVBbm0;($fRkwc(ha9;j1UlT2U#M;`_Sm@OC(VNy5}Q_-R>Zx5K~ z^?Z{@16|k!aX=0EvXMASn6!ZPgtik73KIrf)i>- zkDwGi3Cxn?QFdMb=?{Cs4xRN%E6U@p78i8pnP5xt-ohX-JFlzqYH4@KC(l1WP9BOL zXj`?MHV|U7mt#5BSyiCIkoz-d4t*B(fXUopBHtf?FH?eAxMd-C9d4PElAP?k$K^HB zwzs(BhrrE#2z2a+yYL_2W1rr?Kj_7DuKeh{jBMsWPR9GC+}D|ZLGQgl)1TGj&8kON zbS)mE<7BgHp%EqLZcJ;K*S0=q{qwA2e&@xJM`vJF8}HPO{tfs)?5P zbu;mq4t~1;XDdl`{KFo<^di%`*4+(AxM3o{9UTdZl+fx8hW!feQs#gD?cSnWV{%wM z-}bQI}u0gViMnN*ZOxX`n^>1be%`!jpoBbwt> zgGdLdFa!Vu5r$7~|0ag&oQs++d!R`s$0m8CKN=WXF^;jaS*WK2LP(x1#5yK68s$Vv zvV|>r^P^T+P#K6K&d!)mO_$+(0rMa?N(j)+e{p(5mr?xV;bvtSiah3ZAv^YjVbb1I z2mvyD3|4_mO?I7$lv&I6INTd)0oFQWy77_6H-dIHR3h&NqFm(-G!?q_xNe}R(3K4R z)#@uGUn-w5h54lEM`&jbdK&3PnioKawnG7BB(tIEf-{+T+iB~<-JH(V+Y2`QQbzLr zRK$K6LSZdhV7F2L>rnZ+rM6d~-}OLBXKCiS+emlC)VW$4=L>Z!5rM8E!dT-W93-^C zu8H7czhh&SV7klvir+?A^v%pfmGmDL*R_xrmrov zK0M!iyj7o2`{OW10UH4?y6G2TFN8IQB0A67Nd99JHMQ)kca+;>tE4t~Uyr6P+55}S*| zJ29e59pP z&hnY%ODG05!;93%wZ$VzQ5y0v~F9q+^kM#%4Y?7pCVtT-v_mF$I58( zs^z+iwuIBbg*ccY;z-<(_Fb(%d6!05-G_#$4ePDFb8J< zpG6u4I?!~^->(F~L5#Fw1r98DpUsFpns7B@Jfl!z2Tm!MKN?6p%oIvOoriBTFr^;D zgJ+^vcRW#KCiVwfXy|O{LIxgM%o1MYDRBCsdjNDO4KYHM<0lYINDScA>>poj%F|St zwj~cSUR@BpkT5V%LE!7!Ibr{2T&u!oaGH!4eW;n$3T@Ka(65;0c@jQ}`sMSiESsz1 zA}tLwca+Y{&_;-DPxc}Wb8j0!Bl{)%*1qr0)xvFNoBC8e+~>yv6Pc9x{JewuqSm}# zl9t;Pbj{DREBCy8Sm#SH4!%e)&k?Qt59cd=?7pdxz-Had&kCnz*1tJ@q5Ak$osaQe zl84AC3PHQ%3+ng@A@9v8$eMV@*a!13jT*z=c|w9k%AONpO?z}bfSLsg-8bsK)Lc7s zX!CTH&IQq`+D-H22G~g`Fs8qE%HVKl-C0W<)MYjU`k2;-^Yx1-(k%j@AN|4_8W$UW zP-yi1rG7c97n`O58~&MI;SUgh1IMcy>kPQbBIGNi$519<8ey)#X?dI0O>J_vz^*d*{Bmr$x1yiJl;cq<&0gou*sE0FAv;{-ALz1#ZR&A-LuvCj8wy zyjj0|zwgrXGXGwE*uPt457X_UeOzYl7@Q$EO?MCE`p-Byl}9m8NG92RH%J?HT7=Kw z1RGc22K7QKdMgZQ#&sQ^Vt)}n4L7wp7@l$b-6l-{)jUl3W0NtlrF3dlE;6!Zlbz(W zNSjkoU{no_oU95B0skz()brj)&WNB?bhksYOB!!Gjz$UMWyuTC*&Qc3;&?!UOU?-k z=!;^Rm{%;-;jpVyjwedreL4SypI7;9lUH%U^*)n#EE=GiONK{0r`Gs=srInBx2ot{ zYe3KDMDnP9d;R|qffRNX@ufupA9`M-0H2*w(6PG?qEiZ3HiYpCH348wZQ(32%=`ff zAC{O{(Jow3t;$_7DTGyefq8FViUle(p~n3LbJ}b^>yh)E&Z`-`{X1$FR%dCkmMRXw zOJypcow^n?k1jR6%Vx!zyXfr9lHrd`Tl$Lz=!?KLUF2E0?r57*D8MjMq6C6!OKnNN z+glbf(0_Z7DTi=_hwbw^Tf!oF(oYgGYB!3v*XdW+4EGOmx5dR`W>d_@*8yLbu=A1f z4VKkT@>JP-=Pedgo8`nK=y+wiwL75QhI1bl7%|=5-S>(msHmaVrJWvsmu2tXH}Eri z`{>=Z0rD8rNV5)57iCpr4YhO}Xxr7gmQpVPr|Ib` z&ziWa6sO=5?Mdvu=U3_JepZ22A5YXy@{KE-bb3<2T)}$@25;lwY@w%?8Fo-QL1H>s z!h=$oB&0tJLT%1(&(tQRmKDMs5RYcd7vV9h5k{&Qo3M-#=NDDmAyFi1Hd+^nE5=m; z?qpMK8WL}JK)6Sw-ae)EZG??c$NU0CL_@5B^LqsGPN|hcT=JTgF@|bPP2496LYN#K z-A}%L_+|3&YFxf=}GMKNaS}aIK%z1*Pvky4%J~t*#Dr0V&^x3<# zN}6SEtMu8sv}%FVK1Sn~ZC-zdKoS6x>&F-Hbf9u5NuryQk}uL_TAd?Kp$xRD&-lx6 z@;fxb-yKMsnZL7o$ke=M*?fiieMqAirDQb2!92niC7Ib}4P{afs=R=!Un587i;PRE z2PuDlytn|$A`_a1w zbd8aingM&nEZkJH@H@q;+Ev8kW4>8YMRKMU@SL-H(1WlkCUiNVpn>L|w<~uI5D?}6 z*I72t1~C$i6AZQ+HjXaUGC$f_f#64|r8jBTbdQJYGsAamn`OkeAr&_e|b#^dM)agOl4zpgHO{V5~o|aXS zCTjEbp)g?c+M^Fzu*V-XhjO`~1c!O(-BZI`MBTLMme*KDuUT<`FM>j2)co;M8;;Ib z@6?I1qgA6FT}3Wv@9?Rx{4X%)vL1^96hIuhJl1`NxT=b)&LKuFc(;jPfj$iOygQ)MY`tT{0*#Ruh=aK(eLDs?vy;&Ap=SdFGXDyCd-ktJF2__dblU26#aJ z7TCyOyWbQhw(`P!;{uVK-pJH?0faQ_LjH-_FKGhZXzIMG3D1X4-51!WbWK}AeGPax zS14$s#+eMi+sr5FME&>RXkYzzKAoG=>Z&>?_d1K8%HAy~OH#S}3;v0J-1#Ewf^m$5 z-0xYv(v$T~`USaMT^mD-Cmw{U39dub+Tbs3>Q*U}BQvOESYyU-WC*b|lO>W*nwX^f zagwU>7rArbxx?-dAyTi_Tiox}Sz51I;-Qu4&zBy21N@g)Tk5PkbrIDetd=V|GEVDV zRkMAR8!sSrdF9m22u=b?V1w_tI>ZU9D%0e4g_9GQL)1dzTg*ggON=gw8D9%9zNp?7 zVwgV{6&^nyhyomUf*EGu7T_}LTr$Nn+@oD=ak_7KSWt#J7$SY_SOpMJ&9!MT*WqNZ zs!_;i78pV@_Kv8^0U?!D?vjWIjL;g^VR8o3U!%%ZuJ%IW;QIv{niSLPG&MQW7MJM@ z)3~hxd~SyVsj)~#*h3_q59BTF^$^=7?tt^9qZVOX15i8Bbd^H8e5bDK)~(9{_zEUEjrGN_0O~DcCA@dMwN-68;l9Bq1FU3k zLKLMa9(8It5AIVf=TDRucr=Jr-J3NMmYy=UOdSXCgCKiTDnFVekzCf-!T1oK@S&;t zw56(QnLabB(K$&%x(AcwK@yYVivFSuhF@>lU#Zu&yETi`S;i^bX*q|6TjKvkeh!NR zHtj}7Pt&5k783#6Zn=&eMRyLgjj4}oWdkM_x5aN zJQCbaeYh_d)3vJ(fgAD1P14Zn#JS)#$O8$X@LNckn3byjS;M;5FE-c*)f(t}PaB)= zB$g(ZbMohE2EHBe&Ho${iT2I)pDQXgOfbpvt@(Ru;Y`zLVv#Td?{cFPOqiXzbqdZj zs&AuhwcOqfZfpwZ=a#F`-)J_+pSEu=f{QA zHc`T|$P6E^+92SPkSutv1B~d+P_ZFwe0=%HKmc@K3?5*|;`w%`!n9>6`Lfk!R;XX0 zcIhHpR&xk$&Ig+01eO6yryErCPXwc&LofrI%qNmYKQ+%1hjb)6^#B(H(_`cQhk;$`rXhsP4=lCety{-T8yK|LN{-vRV!-8-q?H zJdAmE57ROQ+;*ZVAfIj;PnVZuqB)G;ZMjIif>&S3%Gl~pb47r5gtGrD1_!K@rc7BdKZ`!MK zMvQLn-o4PdW%}mUL!e27;Mu0?8i8}29Kh%Li$}JBzWrZsJ`6(=&%Q79L`lc4(%7HT-CQ(94TusQ)ckU#NOX9NH`hrV1(9xX-z`1iQU(4t)6D%dkH(3oUu`@3wiRD>h*C4);r|PoYS|{kn^h^{> z-4sN9Mq6?W0EVdP2IE@QqEn=;x&W#ZNH!CaYa=4O6^~}`* zO|i&U+2AMDd_x-)rQ%_hu>ie^jKRY6()m0sQq?~ZlHgNdRROI-4;n1|1>;>xb*}{# zCro#Dk49~N6kUj9xf{xk>ysXSX2(v+Hpip6F>uREP z9HmGtFxx&G_*7Hy+ue+7^gYs19}Ei)=3TXetn->4(Pz1_sfe`H@!)Akh7h#1&cp(|f3!mft=naH~57E{x& z<2LH_Iz$$@S+Pe73B5&SWI*0s4xy#0TX(pBG~GXh*YAISZ@5RuPTZX%N0t z2Z9DA&c=(ws{EU*wvKb~IT9@6UU8*YVW+kg?{&}YPP zwUCb07eSj||2b2B~nawZ`=NaR#27xrnbQj>%yCCN?IlQwgh_<+s z>An*@-7udZE25>e*Jv}GPw1*<0H6q9OSh=O0!hIe;R~ra6}lDltPcW=;(NZ!M+L+5p0eE_`#0XYR~y1q}lwuVkj3yM8YH$}CRJgC#RhT4gXlKp~ZzE^;etWDvvZg39p zbbR_}R_eBEQF3egl5M_Tgfp3zgugjyKrcMpY|X^V(PBG(-?J3j%8*f+O!^J^!Gg^x z3m3h=$$j7%i zz$2S&Exjf!1Oghu05?W`Z&m#F?uCBuUex!l1$@#K_#4jCeBqaq@H+OMqYRL2qcPA= zQ>IMZXQ@ZU&vZL;>Hq(q*^on4a9=w-I?9exKcmihzaFB0M`k?=()pYim>&~7fKhy> zCG3NCzKU^S#km9}2Y8IGWjhOB!Ujx)DeD`ZD)(p)uu)45h$C>Tz>#f`1FlX@h4JxL zP(*s7Zd+}-xLGw81n)|%Jd3mcX|8voA(cNe@ga&j*a`B4RGz(?h>C1EBrkl{hqKT& z;6-$vwM27<;<}OR42Tv(g2`oCZq)G#)&jv?O0KoH)W<-YsD3k62AQ&P0*y(Zt)A`^s4Mxh0qT|Q6v=wP($c^WV+{Cw_s|n$ zd(``1&F5LYeP4`4799eBmS`f@pg`q+rw9#`VmO3@*fQ7uH8-OeS)E-q9(_X${(?OK zkgP$LL1bv#k~)7v_{uyJl_Wt0I$2lhqDZiSqipW3$xr3GkN3a(*u?cXqVOH8N%bJV z`xsl-DEL~LX*n^aCUk+D3GMbzf$5sb@cMxvTdhZ3V-imRin0%zqs644r;N+{B`OV+ z9w>^Eh<1)Zm|V?M&lD;F@99nGl}44Gig2H|CHTJk80wtV)(!>X_tf|T-B6t>#9l9} zdZE_SKO3Meqbo}7f~PeJ0}C*v7a`MC(k*(xZ4k`Utg27*)DRpv0L)iyz{@7f(3-2W zamGkRpAgglK3pJX&k8S#poH^S!xt@@Vk;KYY*Wsz(gT=jt2A1mnXhz>zJO;!Y4H4v z_kRJ(ghq@!tGZ;ao}!uH%Q{jZv&9oOkdx&#RMV$YGXhmx19f-a!P0ObS=_rL)ed{dZdnl-hr~wK%H%r?eG1 zswJ^92>j)?5-Y}L_^KuJv9DUvt3^L!uT@2a2uQ!xf?`BA8>Z@J*sC@+Lg@{=oUw|_oq@AqI%K|ScSUUtk0@iRK|H4;BgWs??xLU!nRpgf~LSC8K0n^B*7MRUZ@w2 zn9g5T^IT1gTKW~BIOq#=t_~;T$*#fFP5i>?B^J--O$rQ9kPBHrp;(G9(_~lgt`Q?oIZ*9@qY0lf_xznCLSo3*E{ z0hF)FtboO=jIwie&t7;j+ z9{t%~kkl$)HD}pnT9!I)MTGjn5!75QXKD`wAF{+WYlvU$KL#k(Jq5uV8qbB%amU~~ z>3!k9S_=gSbfsP@zoY+D&qQ$U-8)RmY6e{R5?ai^u}m$ED9cu@0GWihl`HGS>dX`W ze|*0)tI~qy`1BB}0br}J^{FvQM+XPIkYN=9i>19NE>2>a5Pi&$DUrTvmYn<3DWl|+halM6u2OuCQ&DA>2xf!%h)uPz!N`|Ex?ggB_ITN zk*nVzv&i+o^PYs`eb+Z4MI_aY44}M%EIRJ`J_;n3e|R@7qDk`7s>9oZn*d$qR&{jn zjq!j_j(5|JeUonrg$!J>xjZ)vuzzvzW$XL+@N!z0)s*v@2qHKq&F#Eyw;JrUeY9v|w=!MWwi`K% zHb_QBmbdL}SYNzjs9N(^G@5E^*;UFAHq{W3_Di?-PZWWGP3+58uO27Q z>neE#pfFc%EwDcf7pP~00H`N9->B_2)ogT2NV9s%EP?z>L>|PbvWOkrilKBi*{(U# z+9)>Z$(#iBIgXkN?AZD^H0f3rGl|#ktR$XjnZi?3Gpv4gmR9=Rt+o!t6Lm2v<^+lf zL793?b4SC+_itLfklGbnv!-UQ%of}a@dip|uD=B;z~l-IBRsE3Uu%_PK#KI`G~(OQ znM*;abR&)5R9169)U1NJIv*Ls9P9*7k4{KjvvsWF{X=eIM36n?=z&B~t~^ShYQ)xp z$eVK>z)z0-pJ>M^pI1$KmMv;B=$9Ex7gh%Mb5-h1Nq4bO2JswQGE|NLLG$*VxunlL zMehi&(y)J?oGpOlz1^MUV3&8d#c69N_?#uLt!QNDLFtrn; zXF|Ai@DS8PRND|G+yy-oO_srZpplKT+$n4g0|bY!@qgKCHIdNNbdo@d)Bycpt1b1$CFMUH|2t(1VOtj4qs|0Z-5d5wXM*^v|r6sE3 zO0U>i(I)9f*jgK=s$~jZ8c&x{DUj_;6aZzl9ON_e}BS3?_oqprf1vq9`n&1Me{k;ln>8wmau zpZWye&HG(x3!RAwYiN6BBn*g)E*E95=1`&hgXEbEGZ6Iik(YfqcK8L?Hsz2AoB|z{ z^Sm-y3YW>Bn#Ky(N^2-lg8TvDv!Ox-$|~U> zn{!y@xp5VQnwo1T*mu&tA#RVs%JZ|r_=<4i7@|?tra@gGr>?~n`9fN5v0rkV_o-;v#jlN#^{Xh4pY7 zV~ss`P;lll*_f^?)B3&FfBOR$x%n){|E=GBf#B>qfgQBvGl$y9)OfYmLZ&Bk^+5qO z=Xhir3O`SXlQUy&R0`5mb>J}a9Ago!Ri=(WwMHAYf3K^}TBFw*rvwa2`u4%yqsw!X z=yA}N4n3IuqU(N@Pd`5|vMcvy-5RrJy;)nfYy@V-?~&fi;|S-KCAtdUeO;IC8qD9S z{|6OwqGS#PWgyTv9gGCCSH4ZMQ9VMU@cPoyIGMUL#-NDiZqQ!O25-`0za}sGxA;w; z2K%?yuettr{7u&lv#rvpp$f!eY9YcIUBt1B%C5SouD0=`NEa^-OyNEZ?+tiMgo9w= zS}Vo`^!CAPW3(bKvVfI9S*01!VvzsW6jim-c2s&1P>1tPtKn1B%|dSV7%|P+^om*4 z)fKgrs)Mi-Qn=XCv%bhucid(G(}^6w z^*`7_E*Tz2aA*?V1=u8TB|`>k)A?7$B6&rP z>?A*{({rfVJ=weTh=JO;hqNsUsOPFMh8ZgcNj{)OUT2W<8i;@6`-g&Oy0oZb{FjaZ zo9S{yC)f@OI{Pt#RjuJxRx~Od@l&g1^pRgofF#0IEs=EA+KE5{W3>Yo4C_@8*j1YY z3a?Ve=fS&@IQwMQTup*33d?-4z{ik7LVm}hmIgvO1Z){~lc$x&P181vU=IXNu`-kAh913 zr-8oj1n}cg>gks>Re(jqG9|$Fdo0vl{L?j&W4BNC0+U{UM84g zrk_sH$=-9(YxAmrcn+UdjqZro0-6leA$>AzMk3}+TPl7{HBiLXhh@*?z683=s7wYq z6BMc$q%lW2UpuOy3Oro3=%U3bkZBD3iZgWx0HMmqY@^8S`B_m5i#E5bCkC& zlBWphY7>a$62f>@Ew|^D)oNq}WL3I#KujhC-ajNIek&Ic%$FYAaC{w4LpOUEhpJJl#}}wMyck`4iNT$>^LwN4m@v zFvFLk+|TDHiZADmkBq>h2QJ$2WwQR{#oR*{fDK~4`#=;{jxF@j+UpL~KZqdE-z_9g>(OjS4 z63kW+kaD)l8_4~KIAyMp@!w4u4rTPRE94se-5L($AX&SX$Fv@a1S_LwjN5S(6ssNQ zxiaW-F0g59OV`r7O<9^{-2_~RB{8me+;0thR0Uuf5UB$8L0%_q$Z8(Tph?W->glG7 zxpGGPs*?Yd^)2@%s2*=>2&x4lH-wd;0}Tl1h~z1FG(Lx4>OD)hx>Z@=YcAl_Y!ukO z5zkIecZrVcub5CLu4@MxAJ{<3{hX_FnlHohP3Z461OyRkdZy|f z5F!C8v9cMHT~vgdOa}Pp{au6Btmn#Ahk+*|dFIz!$&u-F8V_1?i1LiMb?9IOr?;F9 z6qY)^{X`7PyD1~v)gXYUc@9Dx;z=v)zPEe*pZ4QLW%-mI(HWf(vjn$M)LB10 z7=1_wC{c5Ii>;iS?1Bs;vPwD3xZy$I*D4)~JsQ5it;G6`{3||~NKXjdkW*!*Zm&~z zDKd0uO7pyhO?wbqCtC=tmc-^xxj)>H{@&jRbN9hUNU~3Ln*dZ zfkr09G}Rd8EhtkZNMz$oUF7z14ZCG@vb$9uEs! zn7|kn=Tk(~!~bH&&~n%_b-h@;nwmyO9s;8XKAa#;{SIC*<$n`z5I18t{!~jfC6m1! zEOC9Cr3Dh)PxX(8hvr`mkO@wjAWfd9b>66>Pd(uA=b0LldKVtwd3dJ>tbfZv*ruAM zyp>|%kVWa!xmSJ-#nKi8=3M3rY|Z56Bd4#`a1J8kqRs%too{&>8;CP?73D?dw_~+Z zKLKD<>wYIQPB*~8-B=bo+KN#vtG%pv$InP2r@6>E`tVj z;JUtCGi4w&_cg-Z68x+Y=ZCmiN5*UgD)Rz&SwmeWfVwSsUyQ9A2j^{c&*FP2i_G|Q z7%W${Mlh;WHf>yUi&QP;Sz4>bHW~SFM!Fxlhm)ii^K3yXq#mnQ>GNRQ6e?gt^-_A5 zk0d5vSALkKI$EwWM5Pu=0pp^6;V*r;f-9EL~Uu;bixa8I^FY(-a{N*<23;MAu*glxuKTq9&V1N6?&LO<**EUw=1k}}>*D%P zB6x@NEr#?$8ig=^KcS2Qxb~6V0k8Co&Ql%v-QmBml*HL5O|is!O<)SLdoWF3BdlhS z>#t;`lDS~yz4|-m{iRW=L!Xu@H(jzyjLFRd-83N6Z4)-fKae+}R;n8Q$jrt-(~@EG z(8WWVlAnA*Od^XQyJ0hP@g_zR+(F(7ykbC)*t@f~UnE0=&~!=YFcSp?b~Ez`8_8nV zyXWZTVYh@d0EZChu2N)Bsfnc#&KG7b82vbr*5073C|-jByEPtQIU>+t1Ujq3?eraR z{Q8y=)5UgtCa2oc9eyQyi(KnI?(2V3mxVBOkFZ4ap3X8516eASLY2URw4gu{1ZTr=>&pf*W-d*gcS~0G6Fib~6bs|+SO17!FB1=}=M$9)S2qkQ}*tsk+ zvg^7!2OJ&ZcJwqsNVN^GLqFh+5?*cNeutEu&X`;a0F+T0B(~Vr(e=MZ#3xyycD4p< zrLy`WpF1E@FiOq$^Rra#A_eosU7&ok-8?Y~UzK+`-DOiPjo`E_)gf?^OeO18ZE3HZ zs^)NDSoWv>x5VXLGc=ngO;)}=(G^daL4n0%5=@qT6`RBYJoPSHXZOoBYWkX(+gek? za7p2+hI9%6&batdbLZP|GK7q%9c#$z-(iVOx&S9AneLw@ch!GsvE$lYP@xK5thN** zuRYyQKne;G=jjyf=4KZlvT%Wo5!=9`&8N+$XOVpHeoPLZVf$H@Q`7n(e6a%EcT8970H zrt)eqvh|Ba%wCPZKC}-21^p z41)2CGU(Z{GHTc9RZ2`U!1@IfT`nRjOMMiUP*+JSEm?4I#5FS8ljU2%>vlMvAP+~p zO&9zQD(@yhVp+)4X#~ZZY74taJ$)w(j6gEkp>)*Wnqo-2L>E9Q;|QFQ;tHu_1Z#{Q zb%@WTc$zm^q2AF=aSm)W%H9LaZ>gR@3cgP%JvwL1FEjS$;$w9^IaD3n zNmzW0Hcc%erFF`h7R^?w<^&d5i}x2rpPsK7mD|D=IdR4V z3}oDuA|%LfrUN3PL8ii=P7^|L@%yuEdhnJzq{MOZ%qK3Db{l)WEwfX*;i)X4jB8M; zPXJBUiixT?21Zvw4{uBsXoJv{=hiW`jPra$KfS}lez;kg`SQyfR!#$;Dek0-nOkP5 z1_66=qx*ejQ~+yORCX3Wqf6D5&})PeZ3@4EU*d}Smp<%~Yb28`?u37R=jEN`s}(|@ zbzfWTHNup{FxT2P>?T4XTmfY5X_XUafg^yR`cS@9Unf7|%*7M+FH$w2Xuu=&Hwq-EP3RU$vzW>z4xZi0Wwt(}ApcYR7qU9x3PY?TBnY4cnvVcRO%Pf1FE*KL)y4vr&1SaD zQCKAzrZs4QYo;c3qN^vZBZwI74XT-{+$|3kbPy`c@OuxvCtTGENReUsC+vjp;a zD4(d)(mKH0sXLTNU}S803-Qo0+Cr=9Jca+So-bdjcT9Wd&|_itme17Y3gqqL-o|L#1|u^pX-Z%(XOWo8OeOfE zJY9k-|69p(wH*}(R4vs6;8j|z1|tuUCsrKnG9-%PZX1i$&%u>itiCngl==X6oo~No zD+B4Xv-t)MB^M+PA&S3Va*S z6Wpv;2pfVI?Hr!X-K1P5d%Ej0b;_ylp>`V=AyImK@x?a=>#N7oa>$+MC>KI3#Avd^ zlqoNLGXvF|47StZZ~i89efQb&Pwf5XZ)*JUW!JdqYj0Rje)+?a)3to_z9(y$ou+T9 zP0=}~r$23-s9;3zI!!ko(DnDX2Yx-PF31>|9ASj(zHbdY@rl|grXl5DTSUSi0eq#w zs0aupJv>Y2)lPEUY|42~Tm;G^P=2y$sU08y6xLxAnE#CQ22UmcTNl!J^LkN=t%FC)^Ofv#aAuz z3Ty8#eb`6lI$fV(=`-6lUlmu&m0HeGSuodx;9o{bIYf$9cfilhtN!-T1P^V@!DU63 z>l#_RUw&nlHC3U+{ixGgz3s_N87u%Q8=lT;Z3k3zr??0{TR3x~C*gBaUbPWpU1*LV zEQIti0?YG3Y%F4m6%>b>fTB0DLC@Md;1=Rd+z6ErZ-NjnL$#ojsV*Mt2SMQWc63k! zbWxU6oi;V)Y65)l_kAR{Pk0bkB#6fEjp|k1|#Ys1%A78Rg2J*95>}%(yxzC$sa=f4wj9x;CZ~|Mx(5AmR*&PkI z=x?$+<}%e&gL%~zy-o%qhd40pjq9p9CoV*F;f}vY=CuwF`_Y@0;i#>Cy-t>xEf^wo z?R|sPN-wgmkx;|%^b@!=I+pZ8S6;UCpQh?9P{u)CEFr^)7%h^$@Z!JN6ml4Fw_eQZ z6)BR=Eg09Ifk5~Xp=(_4+hp60%KPxx52+OH@BFAc;1*-0%W}XB+R(m@?eIC*yv zgfD4?A}R|?0D=0l25<}UICJNePr%Hg_?qX#Y^ZxWapJwQzR&K*?DPw3rlTubZDV_{ zY%q;Jq~teJhH#!uwCb`Gv6HgM)X7sced2uaz+OPy9fb3O#G5@TQ+DD-QDquc#w6xN zHM{VD%U^7i+nSo0b_y)(NTiTQ&>eDUuc2%U=Jmp2zpBo!svYvt@s;>wH5_s$R75bsFJ zB?-N%(xsLpNW9bwYA289uWm{f4^QVmL#q_XRLnZSP^J37ryydk%kEXx6?FCM=LE-H zTMhK!r8NyOk907($#z2(`yxK(b0@l`hC{zwqESkHf=m9 zH=`DWGGncq8{UwRA~RxLI=?3U$H*P&ZXmXZ^aJsX15pZbjf)VF9*W?;1OgWChb{A{r)0yk6rEFicN&_PDhC9{llNVqu}j7G1T1G>W8@OI&sL|&^e z94FYL$j{u_g$#{4y|YpcT)l#`d>!a-vQ@J}!Z6NW3wR3p=}v4}knU67HoN3#knh6s zS0Uwxi@)J_=z*Eog{ZR$XjQ!m>gg_Xndu-OlL8=XQa7cNTa@K+Kef}HV`*Nv_fdes@YL=v2#6lSh=>e)Q^elgRbJMwEZnLl_1+p-oEr#EwA5Ac&=KSxCxxh7_w|V$-6!0~sH^qszZJZB4wniBA#IGi=S$aJ0dAR5B-aEj>CZL*&r=Wa zr<)QSqleAzth6`p7Y`h553?31O~3D$z*-TzOjC3pHpfZQJ$nw*Em$&u<}V57_(^VsV_CKd~jLIA`{?- zDHb}8rn^17b2LeoY98U?f7hCFOAQhSkKr*Hvrf_tA>{`*@%Y@huwkA?h3g;~Y~d^9 zVxhn0%x(0%i-rStg76wY3=uwq?;fbVTdkQFQ0iNK4^MZ~8FJHi$L=Fs9S}Uq;4AnR zB*DJ0rR(o0B)kEJP4#rZf7|n;!TvzFbPeySB?`>7x;7SU^b}}ZE#oMz;AK7_Iqv`F zBW;{T!b|vA-**_JEkkVJViQwD-a_Z;#3$@x&(mcdTcW3toP~6KsFlGbWe?P+qaD`Y zg7r+IyxhkT#H#NffX$9^2~@sZW}>WSFs#-jChgH}0e&D67MTDE>t%)z1E`^PJj?B0b8I#ZhOARWU$aou!+M-)duEPsL8Kya`UTWs~3ilVmI~TFI21|?= zujJ5t zfrW%VdyI4>BZpW&DtXdF?Y7DJmD6Gmz;kWbi;-MLSMwG+V|69;P|N0oXf+nqrKD=R zkEQSH%s?qD@k@Ww7g0$OEhEZ!d&RLEvPYB7fFe?;YjfFhOj^$8lr(p9l67!x$g5gW zJVk*IbE&q#XH_{~>XsOIYod3MR!upB?B3Z=)So{|@E_DL>_VTS zg+X#~P7dddvW>GV!==z|Q6PfqvEdvv?`&*Io?OB()cPa#!@=?d{&lu8Mz#N{iuL3;&YK6{gcgYiT;g{!l4Jate%)UVguxZr$Lg2|@g zYINkL1kn@xoM8h@aL?pCTJb=Oi$XU{m8kkx{>qpFh(1T0TClSkxO)fY<)Jn|W8s9G zwz#*OyxEjmtA_ASjXIBLKY5A&qU;O(Py+O@4k=cvBO4tVz*I$z4 zWlY3J=GUJjQ@o8LJ$Y4K5z&!Tc*GUXr6Pj3~WdO$r1bq6ZwWdi57_n z2+P3zTY_$h!1Obr3SXXE{1Y}RM@9TOp(cb~u8$)?0}Dskx?uX}2Hnv`N5zq}#_>fU zfQisuQ=sMES<5s0`la$~ivlX@hhM*Zq$M=q7ruGQcdUoxA{Vaz2EN~OWF^Z_ar(ce za%Hr=wJ3w9_W)vGi@d_co(I~*>fYc6mKYdB=eTk9SuXY>@GF0Bw)pAZ{Zy-Bp41p+ zovVZR>@B@%(5wB}f{kJ+i$n`=GXkK!z(-jf>$l19=@)NDrfwE4WRj$ygqAX>)>z>I zNM5CQjs}T0?N0l7on_^P@&eV?{1Oe@hiP3E>ipIAa=l6rmhqX|Mu;jF<^WgTbF6F{ ze)i(|D42*qSZ9S7t1ecXHgTa#HCXi^UXNVC--i^8AyrkEwG2Zf+FW;51c16o?-x=^ zX`SjMkFG}2Pk25@+aDjUgv~sD_>iX(U)M^#aJDQYK%VjWGEmI{R%Yh#N=5LMWNF>-w z5xnLI`StmtajvO$Lsa_^I+!VU4C~E7@=0%6?R^9V_a@8v(>ue4@WQ{^)FNUe#BW9h{1j=upciOlxpLxP8Nu9rM?%{VIJGEAt<(uKiO$!+c<2nRHjV3gLq;m=& z7(V9KS69TJoyK{I@ryXkZ4^~RgB{k{DStnTBQMkiSa)J^!QXvsN`}=`xp0Z^KDLA+ zlZl!%!MzFtm>15Cj$+6R4LEUWZsgB)whtp+)p?QJ(<4|{tHkA{2r-v>fscXEl^407 zbQhEkZDm;BeOv(FR(V;0qURK_+E7irJJQ22(Mo+cf#g%5aTolA>ezI`{f`i}k)$P{ zGINKVfER)(-S0q5xv$V3M{Na#fRSr4)%tEH+<`6Kj5ZGyVp1?@p+h&+M(OBL1jt@5M;zaG#Jdv z>PT?n3w91X*7gIDOs714_^2MtfurNR@pppW$@WH@gGSq{N6-~{RrJS$(R7>?NlPc2rd3Kcy;nX$i zhHXUMc!!Rm$_hAYwHk`TFTVKn>C-KI-NDZ^=BWqR$%W+k%o^LMLD(oW7P*_4wR43A z)TXYbEbpvZBcjj8J9+q5Fn=dhcSbXM{nrQ_!I)pU;8G9u8?{EC*XnuXHHdhhrky7o zu8QZVP`Uxm;fQ3*MZPAQP7p#_s0rNU%e2PhW-rt08pVOr zxQkJ-%ibbCk^jUhGWnE>)n8nbVK<~dB0lZ@fUzM7v7-T|ZCDe=<}w%vz){Z-!v8i4(}_N!reFr7zKPM?VX1 z^H$hE>W~SNV3fljncgj_NJ8Jaw-0qj>fFhg<$#72IRSeOg!>{RSc^6Q8(Q1@UiskB(QD!w}Pw9+Nhr% zI#R^|5l7dgt{6HEQM*HZYrrccr;@!JU-~?^arx7BXBeKE4Wrj2aCAD44BMjA%l~2A@ zAUdMUN_x@fJ9>mZWdRDnf`1mF?-g3II%pUW4ma=?Fvp-M`!sYpI=_01R>cE5y<0{S zdGj<*Jw}LeqO6s2QCvmRJdTln{W%Gkx2ag_Lm z74YjyAI#KAZFOU`FXZPT`}jyV=!TpeAXn5KMLnf=?kpLu3S}o2?p`!#;FQG}pMEmZ zThK4+qo|`mgkr)=*y;)#B_=}8awpfz-{{GdCCFT&G{`sQ$`WqBsjeP`v{_T!ZJ=|& zg{=92>`$cS(5I|`HF6=eTU`JRe1DREFTxIx!UG#A+m?qIlCeM!wHO#0aAXz{99%bN z1>dqg7Re#R!4I|J7a`<|B&$2Bt%DjWLCLkVWia!zTAh7B6bgbmazs8ES8Pl=N`|8` zv|C~70KcF^aNB^?Q_lb}G})Dd@hG^qjzzO=1vFUXc-&|t_e|2Mn|Ny{A&pd9y(nLx z4nnR@{glhJK&sfQI$h=qWnC2@4miV83zYbvGJbzL8r*=!%X^nwO4RS^TfhE0KH~D> zE?Vp*z5Hr|t9kBZai_bJ-Q@W3L(8s}cq-=pQ5Ux5A1MaNVj{V+<7lcVIs!-H0pA*C z*toa5JL*%E+O zx@ga@U{~*@T0+Wixm8EMV2wG84TJ{As<~)y>B(Fx!oP>EaIL8Oa!fu^Q2%E?^tDjz z$wVS2Qc*;pn~X}q;a>9WizmskdIPgfoji(Yp!5_g*$THIeMV((WZh_{RSl`YD*`it ziBnPjTT8xGuoFSS=Rkv;=K7E=EyGm1%)Q65=9$Z07#>4wm}uLSIqA_u;8OQ@RS|WxeHzs@CipiSV0O)uw^8d%Ku#gGz)kc>P-$j zwZXQ}=}D*pF0YoY8e*68vts1AP;2jD0ZD+ZQ&y|;Kl}|14uMMFEM?hRX^O5Y2nf-a zcaq0=0(=@#&>s5mkR7aZ(uSQ~QbMYtVNuNGG8Igbs!?8cMM3M4uxo+xSXG~bX0a}N zFBhA+D6Ln+)?-pn2epS6Ao!!^hH~~0wg&I~so*~W{0u~;)L52i*YUK|o{PJH78345 zSpHJ~08}m4S3PLUd4?UrwzZqA%hEM*dK>R~|IXw`$z*bmzSCwb_MI%UWi^Mm-~48S zP9B*b{!$0OH@&m_BTZij%nRxSfEA&hS^s%P%7*bn{WE}46rJbjI}Z9tjTw;Ra=s}a z3Ndv!U$6QO{W<|vB!o`;<-nWV+|V3V7?v%3=@_xV#0V% zJk-(Y#+Lnq^;t+6vBjL~;#TZpidc&yvD8BM);IMrUCghrPS3N_WB3HPmT%(`lSIor zb7LMo#H08#H3tlHdK)L#>k&8~=u1Np!E+9I2WGr5^bkA94FTV3UWn1Q!Cs&A(%Dt# z-_pWx8f=gWna8KVv;jYQppK6##L>g$fwxgz035;Bu9gSHnDOiDp4BnvoVH%^;ElNfW$pO79W58>c3%Um?|1O!@e-JRS(MlWDal*$-ExJ;18c#(LZT%rKH;q*Bk_>u=4f}o%~ zlEge1bjTtQ4r^;9Lsr#9SY~~ZLKrEslYx;3-LsXWohP8 z88p%t{2Z#>k|C~ENR*81V&F@V=4qhpEhCBx^Yn9U`dfr0Stwsa(X)YU4}Pu#!q!1T zaRWSVSo+`=+>jw$dOJ8SmLIaGVpTgK0}NEiTqC9HFrftZxjMtsLC1yBHAGwqgjBL+ zj>rwXZ2+Ju?^K8RfSFOE@;c(8@RppGdI^{SDOi07^I$R_u|s9Z|k}S#gb~Sv>Gi0U5n7 zZT*xo8Y~NM0J78Z{`;X)^(>p7$y4*|Sq8yuur=c^!IstDR@bMgG6((-2hO@wOZsI` zQfrJN0fny4zC>}#zZ8`AP3WNe!LIRURA(2;vNCa8&S13P(fb2k-}H{+?{Pbg^{#R=D~Q=4x*@+RiV2Bapv$kIpVFZuh1u zt^K~t)$jGbZbzd|(Eav1d!LK)(Jcto|HnTVXJWJ~k_uowlSb#-19HaHzT)bsmxCBz zqeph*Xs0^`fuc{nOJifigyVWYpGJ@XrpD|(M5#@kXbiP8LCOwtg7L!9j)5CV1w5=d zMDEe4rIna!S_v|k=03-U@-HyH=GsplE6%N^VRDmc*h5=j+f3}?Oelx8UYMDP-<8XI zbF1-B!|`_xE@W0|drrF=an?Qdz1xp{?}lUFrzNHu)WyhMW1nmv`~L06zJJ59$6gO0 zn~sg1mzf^rz1xrS-aD_3Tdn7V+mHC*M(-nv^+o6KP`|3(BR#zRNDtq~+_o%>juGF# z{fO^}BaY79q}MhV4qXrN==MWAy2<0ecR1*^0sLZ5ogWNHU`vDUY)=n)a{GgHa-)NE z0_uG`?{BM^I9tW!_6Ol)@~#_N+u;IFK(I^OA(%Bix&8S!ncj3wgY9+GWqtiuFo;=O z3LjKEh%xv;s&rGN$yeo8fT(2JQUCvd(PpU)97O9AuU`nrkI z*XiH5|a!yoi=|t?1hP?V7D0U;oVyBwWLV z#7d1R>?}pxBd{}x3=Guz5_r~~8-R0MrdJ&iM!tgVrF1)?Ushxn=9oV&0FNkyh;dwA zsV(o#YNMEu)^EN9;!oHF)D*5qMA$@XB15VL93_BUZG7A0=P>8%Sn8uE8_2JLN*er8W<1d+5AN*aXyBsoutmXa`Rr^Y@KT=RObi z9sT>AXd#m;T-*XjK7*3PjcRY4yaDROTAe`>s zH18WMdy7r>4DeJPqFATgRvLyCdZmWFd7A*7$GnQS6~In(IMOBw$Vt=Qlm~zbHE&%o zrJLx`7X?gst^k%s>!XEZ5Tsqacxp#$&`gfOY+9DaY_mw;B*V!O>RG~nZY9&%o>T6m ztcwj)yF^isc70Z7S<7S8O4=r32Nh6z@GKAXEvfrYqawiwv$Idz18@04hd!@Vq^?Nr ze$g_i>wmuAR?MzZi<#a=K+s1iG>VjsJNy1gG_S_w1R5#DhGHE0F zLms)K0d3^XN}ZaH%ZC!7t^(gHdvExe%jZFr^Y|E$0wc-;Uo2M$TbRIqFPpigKk&(p zNvo4x_)v}3qdLI5^>8vr1|CDB6`h#SfWRrrI}6E_JE#><8x=Pnc}ffxB~#1{9w`&_ zS+!0cmT}vXo@^xJrPD>Hz6-Cs^Y>{^uO4s2bzw*KCe@7$xqebfPY}K-VTNP z5vt`aDZPy4UNtrr;_1Zz48|FH(m&=>Zd}pW5RIxQkpD-?eB)O+)S1Tfs{52(iRRUD zZK4Hy&pmrwP$`U#6%!wM$YW@m(U@}8oBr(;4y)O$R>c)7$2UUUnub{FagzfCKTsPt zR}r>!=@5moX75QNew!$R7U)~B5TDpnWZi~f|6=!7*mLt#z1Ml~8VjtVElJz(WJBat zEyMONRj)q`VPP0wYlnKKWdO>y0jK%zrVtJ+))1zbCNoG>A&d@oz?rgP#T#)9zOb4q z^)@_9AvUEvKfHpedXxcwUaj79ql;{jCiyIH-fO$*3HTZ%KtQTe&0FzaTUSeGoq=<- zP)|wJWWJBK&&z5C1AgyqU%#Y4y>Vi`Vho`OZ#(`m!*|osn zABb9LGZ~)n?(E8jP%og)ITaLarxTcr&$0G-0)J2K-&4Ia6Qz)8pJ=v>s7r)uXo^%r zy(orY(PzlpHatJYI+EA)=RB?JT%x{Uid9$Vc>(mh%eEpR^F20*9lXK%U%yO>K9zxN z=WteQ5O_%JO}$Y=QuDgF8d!<$42o-~l%aYYu3Fzu#hVy3OiC{(dB^IBr*O~ebV`~O zySV=AAM~<|5hNNnSKZh(Uf9jTg-y-X+EXvXRac&%tTeg%WmTU?xk}*+eUq=gNt(0j z5?*kqhZ!aI_u9+BzB@A~4B84X+dOKG=|Z{_Ltw@op&hAOT&9cegpU)6soafBv}Fm( z5G-bHrz5*^{bz%~Vo(F-@Py~3EVQ=1lj|4y5vd3PdD!%j2IVUO84kD_81RFiM(Mo? zD0f$vTg!%RbUETP$70PsuXywh)77d8p@*KpQ||_^|J#plPD12Hz;8==78N+i!i6ci4$QU;yqdimFPpA57~3)Mt-S;@n#h@9*~ROCJ)KaeMgOI57kmo8+< zPn=SVI4KZi10aoLxNf-8(M86_LOYsI7*p$XF|DkYu#UP8(p0CLYLOPmF*EAo2J$(0 z^tkkOZ9}3+tL6>r98r@l!4_A;!9qFp%#TJL3_)!p;>$V*q{)MN%n;;2z-KmN*+vp% zds(+(fOVaP!3~@#KVyXq&SjcR?(H5P-GuGOQZeW^XYhLbB#>s9>>;f_9-)81t;K#7 zH!j_}=~$gMC6v~Jm(#7%-g794H318d=|-!yqiNjRm2JNg970&SUAGgKP!HkGu{~okil3x9o1qrzU&KZF zbqRO2_%zvd3xXvjwZ_OOOKPYqd+&m_+V`U^jCdG~46@CsgPfv^+Q2_ z$r(m2_vydq=XsfFGHGjVL1b>BHcI40-Y{mwg*F|&2n~($kVbp)Sdn?)uP8Q~(r_2xc9w2JPkSzqThkrurm&=i_oWN10D z5bTSJdkhr`jH0%$Sf#FZBlMr#!{42J(dwutfG+fLg3PN)rD*uK#?eI9D(E z48dXuA8KI;AkvgXUM^~DdX#YTba(ftHBjOV!y(_|9202yghG~UEjeUDGf+8*HqrS` za;EmhNW%8nHd~u3n~ZH&K&WTnr}ZT^%9}Wsc;L7zqpFi^$OG(WQn}`9YeAS>H1*8M zXINk^P>7P>>Cl1u6^i!8H}JA^&8tXCFI*nGpz!TEgo4zj|GhJxTkhieL*gKoGAY4! zGgm9Vf*1_&ZABcOWW8AY1D7!fn*}QfEcu?6%mL#e)&9kjT#ZJV2N9p*F~DAW!li-3-#D2DKd9r z_fhn%?gNASF{Ow(>v_duDa))#OGNN2fU;qXS&U?uq?;x&%*Ga)9vy%~JI7GFn~y{- z%QCaKFNScvV)(O-c%HaU;bn?M%~esEd_nmlkCfGUA35P9=TLdi`2{$j_@*I} z6?Pidlxcgs$?#;I?C0f3o8FDgX6;Zr>Kf9Ba)fs-&46D=2aE>uGH+PhVx4+y{o{cN zCZn!QUXyCjBl!UgTpXHyWbEkR{&;s^{okNFSwJ}gFf2z-IYwi6S~UZXd1??Rq=$cB zoq*$+GUI_0C0mo8GpNPxeQ! zT;Wi*FPEn{VYQfD9vr94Ozb$}7(Ea0#xy_dK?Efj9qc@@Y&x)?8)7Q1@@v&Y3F`XIKW2TtQXol#6%<< zN^R^H@60N6D;}0dkM2HwdRM>~)T=Y?2aoJ3lWM_6ItgJcZ7`7mb!_CBfPb`08VS%H zyo`;6`H8Jl=o?{myOB9+JBFx&fz9b2NK8$~+_JX-cuiC7i%b1(B70o7vWf%q5=RDX zLk_%B7YyXtN%Cg1IBmacaSa-zO_mwq<&KB!%JlpPA4SEzg1CJzDN!i69uThMFjC7Z zOmhvyiHC;dgoujPDG-$pP;cqYrr7ohgR2E55a2;j=_KH>5#w=Q=k`KQ`3tL&FyjD| zIqaYgwgkmn$47)J$f2uj(@utA@j7uQ;>U5e;qA=A`hkJblWKu8#N=N!>rBl{S%K?P zs3)<;vOD#~a#msTKBH1sBzXP96#L53^VR^Utxr@}-F814>O=&%;cJLq!V4_{iqJZo znz#>VHz-*Ik1686L38O$Z75*HC+gy?=m#TI6R?ClBjhrcEP1m6DB$W$jotZHz5PpN z1R{zBUM-`Vh;ia(vs|j~)XS{;LO*~^_PWN}-Cl#4t4GG8_{`j}vDDOe;D~Cxizc(K zb2#$VHdSV%7y*;f^b%_PM?dtjWpxYBc$(J$e}{M!ukP8V$+O1Phks4snU@%z@v&F@ zPd@R!H0jw!IRX*dXMM&U?N^T7%lZ8nEES4Ur!FrXE*W(&dZN6p+) z$CrB2#TjR(Bt~^NA@&)OECwOsQ#@ePvV@54x(0)Go?KMLW@!&x{5{gZ?M^1Wvb=w+ zUskYN1`xz4R%_PR+nr4N$hqpKwf}GNM^dTGS8`3^olXgC1XafH*G_VtzD>{1;19oc z@~M>R3<@T<5g07e=FDN+Ln5SrJYcKjp6B{|Phy9DBeH!K zw|U_#>GWlnjCJc8LC#t?|tBCtBJxeucEFMENNKnK~Hj8I@l=} zTM)QR4z{4jSr?!R+DL!mWGua$re<|@j&a@-I63NEheRP7MU+uYMw2=OI8%(+EZKcd9@YE!6Z0^#kvd*F^wuB&&G#c41P3VJGR$B z^B?1yVjQt!C@9lfT`AwwG}(KEVUZ1--fZouy|g-6Ujik+Xr+@bD_s-J*QTs-d&a^- zI{@dvBdJhAOX==(1008kyxmjv9~+DJr-nO-Xdn+R@Qg-5X7{YYLSWh!!8}%$7ktqc zQ3qfY$O}kSGT)Qpb_{xfZ$~G+*D!d(Jdk@Ms*tto3HBcaq{)?`Ld>d`yil^)r81_A zD`RDKH?9@^#M4Ch#>u9f^B*T+7wS^AVl$t?-8?M*p7Ed-e_TE4-P0XRBXP~fk7K~E79%Z!t6g*8vq1-pay&-8!&SEbPs ztH|jr#JNr7O~8&`wCK0?(QJ*4E{ZJ06pDMIbrj6FKL)<&_)jJ4O!zx6LgT-KZ@PX7 zmTdf&C=Su`!|Q+OBcEhWpn=G&rvm9&#B9^t2qx)8X^a)3ejyaVdlH_1O_XPD2TgJH zryn8@!{c!uiBiD$v0B4esS9{XKjS`SkmTg({(*tlw1N7Bl@I5cajh0=zsd{Gjp5K$ zKv4&r=*dpK~07>04qq(_WMyf6{zU#J~=b`nAvb1XR1~H5edP!?H-KsVzf2 zI|B<^RGV4BXnG73x0&8c%sv;XGBTQT^E~wK=Tdc;eUG|nJkSPiSj|)Uk zqAU!YrM3FMRK2_yR)EkkmLL|*S={k-=$T&LBW|-^WLd&bs9FT5(IDSmXWcY_V7U#J-D9g;!4yske`S|Sw$r;g)nM2bzW-i9m``ivl%b)@fiybI>JLlSSUyd!DzZQNSxm^%NrVlC zs}pa1%PlUm^;u;hC-@g4H8FCiep?kAMy+Zfy|#h*VtH>?zKVDC7W@);Y3OYXH>Gk0 zmemFbHQ~WDn;Bw{;JdV5s;z6}Bl9A@#SA2=i3EmWbAl!eZe(3m=M=^XaW+1Yv$enJ zx78deR~8mRiO!|1voLnC;WIgrPe4X300Tzx5{ffZAjDYBPoIAJ@?~qBJ^W!bihY{t zWP^GE{SYR{zMKdSg)aTD<=n)pcai`pdA*0P9UT9&yg9R+DY5vwxhNT$fZ6tR=S=nO zdmM-@^Ys>m#ZK7NM?k6Zt)sfF{SY8JpWL4qKcrry$W#h`Q?vHFBS;D1P+*93)ouF! z|EPPn7)g?JO-S863y3#_cDV@cx>_?68FXeF(*CJ$OWT zMtG%%d#rmzW@SM>fVA+m2qYwskPZt-i;%boAp{ZvR!HcGec%lV4idb8b{~+?3L&k4 z2kgI?*>C3Nm&mG`X;yotE5qH*&CSit{>%4&-$Uh|bEp|Qa5VBe;ErNb2k5Lf8GvK- z!*n&baxh`fhF4H~le!Ol4q0xMIPossc$7>^tS1NR_R;ByMh9QT5F+} zPnWb`+jj@{{m}^wiN%wo$;=;uSrXrE+Clr{189GIil5Ejsk!8o0(MyBYdi;ii~8q8 z0lD_8`L)+;2rS{#FY_ML1;^&}O&KH|uOUyaqZ^>)m@AvisDroo^+qw%KtrxwMZW7a z56c90IP}-M(HO~^n_c>zDwpk{>Hn~nufpm)pu45bwinG`t+EHJD`9Y;`hkMa{A53T zc%i?uF%+Sbn|A!ehvBrR*|qJ?5kfP$D0=8>ah1-t%;Wpb*^RkYOHxbNO9LR7C(-bH zuYk-ULi*uDWzhqP8s>_zI(J#56?nONe461|jhKAmJLrLj|KUUB#;q0z&Y!2*64@;X z6R&S?AV)#mXeTIto31GH8&Z>53cif8z+>*k?H>^dEe0H?X3$+;V{n41z0uD=vaVpJk6W4WMtey;_&gK6C(Rm_S_3f^5D=@nc#a&St6vB>OsIDe9b z@9oOJ;X#|{zC&cg}r4uBW&MgF$F_W*MLx>4Tr&QJvW+B-8KMU zo^!5-dG#CU2CEWoR0Wn`lf*Gl@0!qpDL>|-;>~n{d0;iA_jDfz0s17JE2B`m4y}tE znx7qW?bVN?@6EaRZhsf;e9tdH;5vUdjJ}5~k{~_&-Or-$jkC1nm6Xul?5 z7uNeqULnVcsYfY*FKs?A2oyL2_HunOd}9Bl;dv%c5VnLJHP%DN`Y?w~DU$l|FEVsY zOnugQ!G@w5AN7(Um80e)rge9|{^~qzYx_KnShFrs#IyM3zR@0r{S)3w%6jeeuh&4s zXTpKU5wiu6D>okLzjvek@y7>e(PvM-(%U_7o_QZAFyGCROcKQ!jmUVDtI4HH=P_4f zs<_I%(f&Rn530+XEH14&f!%Pq0r*K`b=6C~fNF3H>0tg$S~$tq$}vJ`)|=_x=wJ+N zYid-p1jHXMjWIt-2`mBs02Gc(fG3&xbEJ} zsBIhR7}P2Z$X{p#b$|J=+8LrxV<^hOLqk7)m&rzT$3Bi!^QLDXN6;ECSDfk+_)`oA zRMV7UNtorMEF5kOt4#^h-sCH_f3K@$_DVJDVnEX7#Zp&J%#tY-SG0Z*1&=eG3-yj) zo!96V$9fhjOZLQAvaSLQC4qFuG_$G^gR#Zs)2Z6-E(jZb`?uTjYeZOGH}1Em>T<36 zn%jW{k~h+N*T%bYJV2}PP1)ZYS?Q#e{xMqRNO_m$F#Gh}3lO8X@ef$zJUT!bx0AZ9 z?~8A%6G2wxU&}VwJnigoMp1YCdQ@5<9$p8F4 z^K`ES8w5N!L=a#;mQ}be9~db)zDh&x4srDJ$bJ?v>~QKAQTkl1Z|n_i1Qv0`cns_q z7{_GRC8#!C#C!aIu%E8ue6E-MrP_+7<}L`?#fggaZY6L5?Y2S@NhbhSZd8kGf43mY>vmY)HFPIz%O&lQ4iHArzqo%vr-!%6nSnY8S1q7AvD1^ z34TL&)R1C)3O_GC>1fpTvgjY2|Iqpx|+hli&bgIr{S} zAP$jM>pGk*44r$SFCee6C*3;TCbHh+cDGZXg}zWD=d^}jc2nD+#a^i~hTYxV<;(9JqhLdSkcIPr$38Mj_5S~9+P6F)9E*TAL|)k^lXbUoC9(Y$PkLjUM4^H7VRUQ)aLQ@N z(8OHLmpN7!(gHh$8Z89jGYn`q2+yCi$QhxLJG7PSztoBuNJ2az60K;&)$8G-V?)Fn zp>*!!eh=-;P&0aFD0Zg6Qjn+(Lk|P+foBO0#S3j}TVOcDQaqdaPD4;*V0OnKc$fwO z!1?%Yu8!Kn+0}tP8W?!P?*GcaGOFI(pEs) zh50K9K#B8kU^&vwr$HNin-8F2Fs|7hfWp`jXn$M_gz+*oAuvqeMlBS^Z8Qjn>D#Dd zVy(k~m~EQ8{cGQA5*=AEno zM>}qZ@eX!WG?{6LFtsuirj0z8c&9L9DrG`i8gHV}?82BLCneR71ILPq)wQ*s4W%KyhjYpxO>>o-qA&MbuddXshZgSYnX2=J=|ABeD!c zEW$5086?gQ3BGnluzY6?ZX@f3)fDRh%%|$-KRQf(ZxzJ_GKAFC?ehZAo?PpZZqdn* zmSjuV@X*J)5;$Jsg=m8s)^<9fiFhX5XC1{{Wt$S2#`Fpd8GB5%mnNrUC^h7i(aUe` zL0sO8rW_=TPXpZc?1(1MzeL+OzP(n>bmY1q!`qafmt@g)Il{}N5g-=Z+z6?#i?*SF zNOkzqEjMp|WuWbbDS88MBf}V~vRw`ri_{Yp^wfbn5^$J%gRtB(jObez*BDCohWAt2`{w~S)=fzLT$|FtQ}~L zK{_1mNAc_mW(Qz^P-6ttuWC}v6o(@ACtHKW1>%Tg(fn55F~I@M-o(_6+ot8`QG(YI zEz?Paqx(SHUD5LgPrB4!m&qiZ+#tqOH85O)!=1u^Y@qW>^O`)0$wHzxJc zcv2C?6x^h#-P?z)+>B2)>l^ho&!cCcmX+qnU^`FZF4c4Y`={(Nx3w~D#URrRlj6eW zmE{M=DBI@FKv7@xEM`hD*v3uR+M~9vRYIe)U~smO6$I7=e6og|PHb#M0(=57p@evUOd(lz_uV?#68*kO)m|Gs*R-2&0Dj&2bT-S4$mhicY$ zyA5@&pvp%i;?62#_Vt4VZ40OiRQcsI~1k zbdiLv#wZm*(otH9fmg;!Vhm;2YEcJhUE@s%SdY%oy*Vwbp;_9hS&V=~#fomY_U<(C zO=%+Ld&-S#LLGW4Tzn4-zKwd{W3<0F8f|+I;L;e4``=@Fn z-UAA3>^I+ikApqR-uJ!-wia+S8g6A%?zU#<2**<&@X|JVG_@l zYCQmuO*5Z!&_Zx3k#pp>MQ($t#UjwW2uW^FH>+{$7eq@1t`uq+P^OX0v7%YY}-S;;`iD|?jiG21aX{@{niW<;L7U|5_Da%?oijcrMfQ+WeCCycAh}8DUc_F z_HR6$qMBGrx-S(~RNV0;yp2cH@8`$%kjwNHIDS2!a0enf>Klfjy!zKg0{%-lu?QO1ecnucg+q@EM74_T8_uImF@p_R#RKvv+wgvEf8sxLH{b7j2xv>r(8YuM( zfaTQuJJcC7B|p_PZxTROwGwmN&r>#NKhhe{O;Ep1ci=O%vd^Iw=f$*G3sO0M@1dsv z%#Z+3QkCs+m z1^-Ma6WD{||Bul{oQqsrR|+@=&i5?2!8nJb+AJn|NA}v#!1#h(enzqpM)s?XGLMg( z3KF2F8wK|u&3?V^l1U~6u=$+o%EFlchTW`t3xeB?gWcf(@E@Q*2f_YO_*~$NMSOg-wbEHh7oWv~la}x50gp&k9I0 zcI|UUkYw7SX&aU!VI|ywu9zm$N+SXkDCxGFn5a(hHTW9!6B;%(5ZU7hD6ASnO`*^3 z#+9)KRw4D4^}eLjpCh%AMT<>2%K%F%>&DfgJv>_isIM0)304hkQhh%L_c~o^?1?FXHSRrbO|C9xAYaF$|MGWR5Xr;mIVfj)ztxh zFmZX)=B8e%n({8_3O=66n7F)TNK<(y!ps zC|NJ^6xV#O-oxHwsrHTPZufWsmp0!c%@;B7*=*CezNWF&l;q{M9T`@oYaf*YIDNNh z6wf!U)gz37YAsSLSyQC|OirE0Yo2%F5_S6uyB*z++=(bo0=86tk~KotpyWAtMYQwN zpWeS*{-yCxe+paLKZaWx#LGgJcV4NY(ACbjMiU43M>p~`5HY8j~=z^8rj8N z;}nCiG?;r7vcx|Iy|%G!+UnS<41hrT(sq|Rg=|AqZC-CKQ`n_2+V}r>$(9!s!gt+v zVNRmeyvJ`-3KGObo{T|hZ&TmjN41P`P=3rMuS5*|^eh$Uit8mv6HX1&5Msxnru zD0-&86zKe8SArs-Xr5v9>dazvQ*L6#O;9B{mRB=B9o&}mJ-tgC?q17~XbNpzd+nJk zG@?d9vJeD+eLLr0*U&S)h;7|16Tx+b9adbirk9Zb8zrEPa+Zn-Ri;%7HRl&awtl@- z>;6u3p}c@>% zB(lIDEN2VN3dz}k+^m*NY7v_S43v?8G?fR(=J~JdbEK$fywNRz7*VN^}YR*=(D7R z8TN(h!sm3Avskny7#ehSSe8#69m>trta(*ybv%4=O=%)L=n3O+>w(p!E%{=;p5C^= zmN$TuXtfU9f)60k?wj3WyOc8B!!Hn6TdpH|cJv6Si*55Se&6TAeQ4Nj?WSo7YNT#@e|0)FY`4itspev_l;WV{=6-=D?a)l&q-WQq+DW+61^ix)T7{w1l~GKSKP2ILk5;w<0gP0c_E?Pa@8cwM%;B1tHmh9F;+bNqtjs{#XE%CUKn(m`nPkdZ zjXOQ?9xUJi{Rp}-d*CfMZx*<+6=KPn&W$@duatBgHT(_BE=40^T0@}^U#bsi{rXGFiD!u_&JT`BMTV$^uGHe)oMX=+Vi>LnF!>60b zN7!LYThg}hG^r!I?BwyW53RH3_MZ)uDR&XE-n|gn_^sW|yc43=nh3S=1eAX;Lu&Y1 zt#HR(>Rhn3n{d@KO!9cMUZ4fJ%`G~39(;OObGl)O?Vb1MO5`yvqB`j0I9f9w$>4B% z$O2Ejys^QeCl!Ctwox?+|2ryo<^}9|u>>kgb?K-19M~{jo-Pa%YKqroJddmRGVPH* zdKoJpk%P9s;(ym$Rula)&R?dux5iVMGy7q4bT&TuVRLpoj@9jw97Y3kYhULn{M$tT zNC?MJvm?*BUXcUGHI|sFrYKA0yfBa@-h1+7@8Lt|7HaA`tm%?5*gpoZ0ZDDJ{Q=in zHr}U3>QdupcMyZL+0Fxs^*9G%I=I;o=9JOzaZy}e#_6npJyi`qFo%u~y-ii!(#{O? z0y*IsD~m%J+d3wcTqGC*^?PFsH+zch!wubaj=i{nskKo{>76=p`%lt#pH4f%Cb1V! ze){=ikXpT1ZwC={mK@K?Z~JS}XHJDED7c15gI^BN?YV$jT3$E= zuCTed%eg~M*hcg%;-nytSQUFa^BTJc;f{FV&K!9{xVX;5yh`%%B({ z%?m7)|Sv^!- z*@c#cz=qImCoteu=N3XXSnpO7bkbU6s& zWMDbbV5ME_(9JS!5`n}dNl_XGT4NeI7gNZn!?F3lFhJZ<5UR_Eyb4ZVQ3PEI)V;TZ zYE6nNke-m9`MJyBL1nvDG$CKIj27x)As48|6Esn3ZOx6;>` zyMuc9_=!I9EkWplx)cxqU}nNf!lwrsLZdfG)5uE+ozNlaoq^xJ^v5VZCi%-pTb{V+S7j5e4cV(gMLsr4$m$w9jCw1=VCi?gVe zUZ{(}C|D1sEqb6^ZJkT2mAVO_2ZJjQrCEgaQ!4}X*;gBA zY^fn9_Qx%1YFq9ZuGe0(EbnXE)q202|543i`|aw$Ube^YU~|65Lr;lxj@L#@LPyT^ z|JBK{J`Feu4*hl9On&Wk&1JhbB^>ngFr57hBYpL?Ix#IaD~GxIT;tMONvj*>+Rf!1 z1l5h=?52SZGU|3Ic7v|NB8`>(-R1IqPx&0?<)gZnIR!^qWFk^7Tx^7qW2dgs8 ztb}WmgX2kD*=<)^+}hxf(U@lofFUN?YEcIXeFisRK#$$Nm6dTH`EEI^3bIRrTbRZd zSQ=2qjA9m+p=t2V{m0Swc;@e-onk#4+>1Va6@y_02cr=ZXPlk#F$|R}ry_E*qx?Y{ zKMhTy8b`2|zVag@d@2*TnZ7-vX3>=7A_m!qGMQi!$L$3y?xrK!0pe46R<`yE_!H2NV=j_9Y+)wr!;&*=R@jD*? z==<;(Ljc(azPDwata3945IeX4wIt6s&%ZWs=;#p`3oi;~Wk%n4BJE+D2Y1!b2FKza z9_}LGh0MyB@X}9f*W#fz2ZnQI^()~>%Z2=5Ua%z}uCB43Vjh{2yFNA08cs2fK~t%A zhiL)Kg>QHdRF%*VV4t6U4m^XmsZlAc?V#U6u#bKlH_@cXHx(fv=#g1H3*|3VCt#W# z8lqHc8bd}z<`TrnX0*e!HO;4R(FFAIL=P_5%b-KoLCoKbc)=&-z(CG7U|fVNTxNcu5_Pt8`T7YqSdO~H{p zKIO=wO9KW2MljP7$_#|`>qvQaztn7ga0a9~z17K7)~fa908T$d;e_4jfH~)f#8na_ z-vhEHng=-B_5sd*Tn})vzvTm*?ElCfV6^Q6jDBPfFy8h7#y_$LIN0_94t``0aJcOQ z9RA22;Aq;N(a40Nd`wCqJ^C_+;Ci_~b{m6H~x5swf;p zf9PtUx+D%N;vgoCZ99qvx?YLy%RVU4LtpmkIsk4d6K<@}cRFwlLOUWN#J|FI;6Tzt z_#&+WTh^e}1Hwng(1%kVk7GR^&dpV0KdTE=PQ`E}J#{ic81lWQqHTu*$*J0Y$VF*@ z2oXiwM^TJ1Bq$LWY$29@;b>6`44;GGrLJf%Uc>MP3roL($vE=m;Vr=Q(TA`U3=ajW z%0zjZ|ES-pH}aif;rLe6B1Go}#6pz^1ewJ_C1CL1$1-4>p2r(0N&Yg1qrBPAKmYj2laF7#fSEMUbv_Ie9+d331B?@f&vq{Y!D?wNxPD;a}J9)P&MKQb)U*; z41az+xyfM8tED!sG*RPy*lt~2v0+yJzMKdEJ?VL)(y&*5;DA` z(v`rVhGxO35_3$XzF-g|f2~R zQ)usjjV(UkWQhPX_))+Y_S|0BRC24PehTjrz zS_lmt)?@2m-+OV7>qGtYUZt{?rW1vRVZNZC>_tW7$^M>Y>#b?h)LnaXd_4SBo;P5@N(w50>GRL(WJ& zL%8qUC)M}czknYKC#Q@fLLnWQfZ`-p*`_N|6Hik%3|Y~<0jgdswA65}_ER()g@(`o z9@y@Y#Iz|amo0(}A0z3qsd1|V0MPECp(U_i%=9N>5!Q>!>8UXmnlg3kcEq-biaCxa z*U9?jv^?lwO{`5V?WVGZJFlEtO*#V{4h-fZE@wR=CmJ_l>mp}5lN-HI15w7&c`{WC zSDrd|4Diq;>%Ga%9x!Y=+aS|te+pP+br1pN;>M#h&(sjW!HM*%;h+ShLX)%V*1Tyuu3k+3mL zI&W{HIkZhU%a)oTwj##5Ojwzpa;(I}9{HU$3aQg8G4PmBQv;CaV#lifm59I-oVMHX z-XI=39+(__Q1)S!LVS@X-?}I++32XM;C_bdI&6nt1h`389o$&;)DgbugFA_;djT_q z?9?GR;jt8=Kz@%mD}pGiX6JQuF@$UPC|27s#z!#7hv>fC{-ZS*vsbF+R#tt!$>%7F zX(}d6^zAxcBg8l>7?;=Nu=&+!*6EBdk;-y3tt?r0jlw=ep|a~k|6;4q=om2OEl-;4G@<0lSI9Cnx((orSx9(z`Uoyo>*Sg&Y4yf6O#*t zby!1UD~{E~XhWr9V#P+e#;TZxHA}E9P1|+*58&)DWhYc~f%f;QP3&$c$jmFi=%)gR^^)8%l(ngDSv z#G#?!y8mtuYLzlI!4vJowa#iiTi0rKf+WxyXN_8hc6r_oWqn}i~?Qp0}adrQ5ll&XGQ7vY6s#^7!vT@TV`{p|=u)@0Z^Po48YDC&2b$ zi)~CjdHD662!UOevkT&I=F_`Ika&{p=;2XtiV(Rz8g@g zg)lAm>));*q>+mh~>+l`)>*y`?>*yWy>-a77>-Zh?>*Ou;>*O8u>+~)3>+~J; z>+CJ`>+J3K%gVjpyw54Hf3_7xU4n#8&5+48Q9%aZfq&lP@@)9S-P3iC792IJm2~&&3TVDo0ag=jK-$_U z%YzY4PveMk6tDBPo;SReCtM={G(NFglCo#Ysywf~5yhnb;anqeO(zgn&}Pr=VdKQI z9N5-I@hPh@klGsfI|izbL{=pmJM?jg6kAlB*+QUz9z?4g1n}2H2{HjF^K=rI(2 zJBUH7;xzXS)hEJ8ZBk({Vb|7p!brqytcm)lgD89J+Z;7ZK0FPuM{r%L)q9W%l15xS zSO~3^9tOmHJ&vxYe;Mb^zew{26)szJLRkW{R^-$}_b#WYR+L>br0CC?vxA@XRid6Z zbJWC^alW~TaVnP_^CU(K!S-awVUpy@8sbxXxS(X|MPk|K1W$NM>ZK+OX&^S5hnk5V zR$;OT^*hs5G|GquNCojTzpoyAot9Mm^*o-65>D&-!-*m-UnZGWyfF2Fg2(lvXmoFM zd^+Il0cCVVB8zV5P_rlbJVln1(C)@K3a1a%$B}_QRhrx*opH@R@$Ce#MeCW?zR4$aO0?34bv!7y;OIyjhuUjb1U z){=>@a-PrdYa0OVzM*ZStGF8AiGVRmVq>HXXs*#Kf_ui+d*#WI zS#D$iddrzxl+Nei>$5a;%yTVfOkCRLSU5m)}F8#*LOY~q~>0~JOBP}@6Vz9 zHeaeS|45K}<3q^|MfPj}oJN<2pUdX#Se zxn7BB#}#q|%K;J(qnbB5sXN`it>HM{fy9XuR;PgX+)NX{GkhPDwI=6V|2Z)GX{)>8 zdgXq9?Nkge*j=KR$X2v-aM+x$-r7H>6>8W_ z9-(Cn0$)pyN+Xllxcy_Cg*vHck|;Q}jBBm8a6YTo_9z7$_l+n6@Y`jnp`Z#g5b86) zY{?mN4+wR&@@YhrJt-xuRx_;e3L)0l_Tg#<51s%#cd1~;MzC4K&W2Zb+pL*$PE{7& ztK|-QypE$^M#n$X)@HnRdMu`oKIAsS)oN=YRSV~te6^ovd!?K=v1~x`+u^uHm^NnE zsQ?nfo5H_f%F*rAOQI(=l1?jd@YRkerj8>TA0t)eWE535%SmBtZ0J{-q011)&DB@c zZYNB|x_B2s)b>EKs~hx23la7Y++tGYO3EcYe_wjlw*6!(#A?G7vL0uId5}lozb>LL zksN|i#KnpsAjwQSt4x+uHSL@TWo^T+!Lo^qDMQyBpc-)1m2p)K>MX0~lj9FJ$dOoV zCSY*!DXqFm2Bw0stn$)6f?8bDBvac)oUb?2MR7&g70*aA6(6{H$=+1bZmOTEQ@Ox_ zqNajDoEz2>Z>_sZ%Q?6L$|Q<&s7R=$8wBwds*lx%I#(vIWf(BnH-X0!d2D{wiACe- z4Xib0ce1Ap4GJ_R{>fhWQk|-npgm07-~M`g!$eeWv03s^nkAK~-#OX_N$1$Ia+_{4 zPaF(mU_Xbjr^XaEjNSQWqV`E`!{~0(4|QamHfDi~cdijVZxa!>oLV~<3Cl*K?Tic; zvfrKqkk&;b5YAcJn(T`+FmsO(cYFJ963UI?O4DV&7z!psPb<-4h1AL?sqW67JpG(N zG}925A-BHDmv?FW+0!TCwxb7X?pF&&h3RrFjR`X#F#WBZ+cpdyUVILoYxgTiQ;c-* zUYXB{%kT&cs&!D8=qFs_^G#;!biHBb)s=GhUnw_z4MGg`yEU?$Ryu)nxQtvRYF*m7 zP-dy+K#Nza=zALe-$lwY*Z)>$nYw8>$rii8U%Fq}&44YQSH$Lr(y}nFfe@oQX*WW* z9Ba4YS4Cbd)k~&ktx83fU__<>z0!CFmVy4w{uS*kimZSQkJ!^M{tQv4#rE5l8Vtx^ zHA^HmGb^Sb5(%FOUKY%7NcjtRos~2)Y@c5PteNUCU45i-={#7Lus&0|#Bx)J6>~wI z?T*H8so$J@GS>B?DInNcl$lumGz6=>1OSewt|4L8KA^#wO$Mz7ol{ zX>wD@B-5)Y9QzW zuoHd{@UrqM2~_vV4j8x1yEDzoMSKNiwE)7@&GqRL_K5!nR@%R+Yx_DBCSt2E0bTk^ zxkGAkj2@LlTN6(^IODD6aS%kTQ)^JipyiKE3Wnt-91~Zr>lQ!H`NJd!baYf#+^K!% zd|RolV4&5I6H`B`uR_>gkii+s44WjFyxR@w;yt1`G|IaUb0ZD_DOzaynI%M|pkU>W zchxt#z|EA};v20jArbr8xOr0^v;W@fFKg7E3Luz3+Qor)K>fdV5cX|@8ZEqgepeZ77UvE&p{$m`}vwJ7e&hZFG z^h^)vi5<`5QD8XlR`(7Co2}3vS^2(h%Nf<`-}|S<8_VH0apt>*SO;V{PtL|@M&3@| zmvDzKnU}~1IA9&CaBh`Zp-k;*J%?M1eO8-`i}aQ7r4C9g`#v>u=}={Y1}k%P)>+c>noKk$X+8h8OkzNzMB@le|Hnw!4L^$BG=;H2-zV{4Ef{GY zE00!7aSCD+Wf5cfj_Sf9o}_A}R@3-?WbgjWc9zd=xV3Bmpd)@)oLk&)@0D@oca~K~ z;f_zU~KrZ@%?KORe+n@FoBIqMR5XyDS#AUGBc7N+~TY+^7 zrL;p3NNsqA=cir)T>~oQNFvbF!vM$IDM#zr1aX@nTC{gbWSDbAa{<| z#!t0`umnH?wPLRgoUkM zo9Yo))s)X{Nv4L*o6lJbBd!R)`qY;>^XWWYB6&K;$oM=B*Gj5E@mh16nQm5r4#2Oi zcZU;t+*-C15S}r2?vPhd9x1$M)X%dh>~NF)bdCD8cr$e$?{gSY<>dN_b~Ez_yheRL>!^ii2IuuKx`E>IviZdT%)Sc#0Fh-q7Y7iP82 z^XewMiXnA4J~AMQDV)|oQo^tggn1{6BAY=DwH|o}!D_lG^vR8oXNel0g<3gry?sKpB61(KkqjO^7(kT;s#a^_=+#F| zrZ6o7Tu&m=O;iaFlVvf5Q2i8cNxwZeV@um5KraOPr0PZg`=7p7BN=e$1+?<;BcnXr z=I*o;22ka{tk&;n&0#upKm@Gedk0y*{tN)k@P=x-D2gm31)R(_Q_aZ%)Go?U*ZCuJ zZjAv#3g(q5k~AqVm}*(@IfKZi+dqe^ntGjTWiB-(S#4_-oMbzw_DR)E?8L_qTa=av zM_e(8zS{~JSg3^~SJuxOjOSgue1$B3^FPq>^ymL@8Lr>1ldX6v2|b3 zN8mpU`75@)+CRCcd}neaWX=G3^qs)zm>&65$XS7zsy(#Ly#;%8c6fAezpgF&SyIf) zc(uTe`#cBwPN7vgB<1U@1IUAJV%PRDm1~z?#!;%a4gj$4&*DL2d58^&n1?Q=xR1;P zL`v<0>hnvMtF+XT!I#KJ77)H$B?TDPbi9Q*nIO`7@DB9QrTNPZR}GzeP4c0ptc=br zU}DD0!$87qOeu!{9lwl=c$!La&w%ozb1?~3NAY^`hE+G$SyC3$%K>>3 zxw6w_QVk@B0$Z|qMA(t(9Cj7r86nOXsZfKPNiH~@SOLvojFhhyv3&B;+1VK48Ji*2 zZNfjzNG#)*@DYf&`5;ou1#pcRtQ+6qhLgyMB5-=2+N_11Q`9aG;LhL%d?A9F4*c+x z8r)nIY|&r#14o2~I2&EFna1^+J~#*kZ7M*yl%1n~?2+28+;*lolVCY6Fs3N{;D+E6 zHo`thwJv5i6djWJbLChn8yZ@7mDsh1X1;|DM_mA#pcbJ-Jx>Di*Ep?|Pl-T_W&A2# z;%_dKpo6ZQNz_J4b*xlc3EP3rw2E`^J`vs|(s!^3BjCGJ6E6xgj-Sh;Ef6s^f{443 z%3MEeP7agfA2vthv&j#eQCp?CntfOaSuB-7|2jcjLtbUT8t#mx z+Z7s5!$P;M^F zOc|Dz=vC&OF0&#{l@06?L#h(r4#b z$1(vkGVGHC8qpPW!LBug9adyX7_Qn$a{Tt2z>-HteN%4g!vqToKPY^^Ta5NrX}Er) zeRl8U|969ZJZj_kY9pTxO9nHax4>!OMzHh*(*-bgPHym%B%1(KUahOj>by+W(PyMP zbazhc7FbKatlqpO-Fl23!07CVs=$suaP$Kh%bcQJ>ZJB!P3<326o3~B zf&#+k@-zjI#GMoc)S#Whro5%5fZT`b$b5R^cEuB``Fx{H4Z^^y#WRaurkLMK&T@l@ zuhEvVVd>Vj>weTCL1y=Kl*n}tQXn13XCbmUE|x($e_r9GASlEzFwCU&2uzJl4^ac* zc~eM*_-UJxlO!qdmP8F~2M1Vcp;KDz1VNUD0qN^cjLrd$gKB2jqx0&EO>S(xarzpo z$&wpS0o_h!ylHgQF74LziKY=B|n*;UJ@8tM>T^6t7s68Bqmi7t6} zT{2QhpOOw!vQ~y-cyuJS5$8Q~am>>)9$Fl~=?|ogA>a7_I1$Eerxnobz28oT{+*6~tb8uiPL*v4{9@CaRk^7;m~iX4jP6P}Jz_-M*65$`8W$oTwo8xa zqjXMQJqVCv+6 z;T7sHMhC#D$}JALz(W*C*wO=-_F~4-!+I+`pT5QcUj7&My)6dT^Z12!3B5;rOL2w@BDn&L+{bO`QYwa zk53J62uVF^c$+9yg8)6{fw+v#sk0PQP1gU(Ima{EHtDALB!dbf&DLuoM6-Ev^b@Nl z4azDYLWyo}Be$BPZP81E5;%JQ;`r#S8BAQl;Vpw> zK}kj@C%1<2L)xcIJ;%Dbf}F38#j|HDp>5jrH5?@`fd165t@(ZOSoVx>YnznL>zx|4 z-l=U=x}SGy6j#k4D36-l;TRAM$Sywv)w!d71zYdfo4F5MeGdja9 zl*iUebh(dZjM%QZ0yLq6Qbty9NA*#?xFNw1cF@fk4t!})TiaSS$2_23_qu45ev|am zVb4hhTWg;VQDO)xu|v;+@{LHWB)8ri@-bC=n^pS*aQUf;s~a9CPt@*q7iSNoJFIxQ z$NUkydNz+9MCY4TYn<6tSz;i-hoj>kK7{`s{qUhtaO5ff!-w?#e)y2@$j&a^n2ZNX z%*@L8+KtV%Iy-j^{5cC`K&i%EGk*B6UJ&EOz|@18aR6$DeKiK%K{&IjJI~WiuD^vW z(GMRwu^FeI&K`AuJ-+>a5%fA$Chn$*(>Jz;6rBe@eiE;h&#bzO(&4Z*u)tI2( zI7zA$;w0Jg-Ofb{!?6Er9+VhV{TmR8t09E4`2VW{W?3FiWAd1jh>-Pnu>&X$So$4(r{6q)$4kWmZ+XK};KK)?Wtga9W>xOsR&7~(`5c(9=0xJ|B?D^_z z0Sk2R$&)>0k_xj+Pl~YUhd#JV}n+Y_OxkQHXc_7rp z_`8}08YUB1%T(i3H5X6hQSEHG{OhVh%^D_LVCCC_uQ41r6nkF&4ZRVzB=suF{KtZ>QxNxb%}`MbqW>Fnq_k~gJ_Z|ty0$k{~Z4;o{A4h?I}}fdwdpEKy;M>mvLD_v0F4xG5V@j!uWM`dNe*eGC^^u=~+Q-6lChK z1ZH$N3{NtBs;fABum_h!@id+#z@`Xm{BDg4nWm7t$9Te~%Q(fVa*(Ia=X(6Gus+7p zuijk^UDT)3Jzlh0b<|!%Uu>4#;G%f-UOjw}H!X^KUqoBZv29wNdFx!)gsB4Y8DGb? zNs@u$EYeXYOi8y_E}$zFP>`e)thG{ALOF~BRc|cCUQ-{w{Xe&78g_gouyRa{PhvdO z_Jm2KL6291AvkF6@w{q>;^*BAJN{@d&E4sj$S8mMhS}~zJvv_H*g4om9a1ha5SuyC$y|O@j=}Z zhLhrzMQA-wv>&OQOPaRoX(>4XB&Hx0RLNXl7Eh9lKP%JHK=zRokfHG}jAzKS`c#cY z!2){WaOyA6+tlWaa-ZmDv$Lyd|EKSV_z2t-dECHHuuHV`kl)ZGiR%EPh;;0l=m)OT z3cwiZ3p=mpuUEE8PqNw)#InAAsJ{%#^`*(g`>Ope?)tIyJ04 z_lCd)wAq7Qz|A8YgGP)@f8u}##*V}6f~5}74zZ9_(CapC)4Oeq0z0!|jZt8y9Qup` zyLYD)_+M~4^=s}Sd5MLeR=9yz`I}|Vrn9FY*;R(YSBB;)9||$BYomC|Vq~E@F7-`; z;}l0LHG1kWu$N7;awxpAO;!~Y-+MuEsp%q3uB1w@J_j-hY8E8jxx}j?+n_z&+^jjJ zf2%ffXKNEg@8~`2R$FTnbfdR_l@cyuw+R$iyZH<5|0hWnmmBm-pQ&bHv3rczsgR#w z=rrZhSc;X62d{R9DX4zfkzO9oBM}~qHoou_aY@Q)qsw?l(4Um38xqo zmus{#LXP|+a~%;6Gcr1D(4A-YS_Z(trA+F}r1au8!7UUi5+FdgR2xcKs;Ocwx5N&R&xf8- zPc|}LZ6tq1uLqSqbC;D8Ce2v?DxO{@NMM>J7i%!|Fb9MV*%gF~l>Z2pdn}l1P!B9t z7SQy@aY;>zjk}U!G#Ae^Y$~-EL~g0S@`KZ=yZFM8ypBhPbwaGEfY|cZ+?uW}&mvwl z*ChAlFZczM#d~4GS1k?D>O2sT!lOS;F_Agz_ZZ> zcN+aC>fcPQOG?7mNn$n-__qfvHUSA{#L_!m|7u|iuk&>Jy5X>=z&~_+xD7Qb^f3sw z5Q~QOXOJ&dv!q#Om7VKfUZ?6IvtN>?(fXI`)FX{ro5HBN`XG3Rf208=Bmw$I+RN5{ zXmoIDXeGCeG1c{rTHnX*uYc03Z1h)~9GJL1iDyf7t(vp4bhIw++)z6TGDAR$iNLfV zTuZ0uO)xOY?FEJ!qY=wZsZ;sQvFOS!GuQ31(7azIX&1@$MvbX@HGl@3Rf$frT^HMT z9N=i*b`vsN9q^5p6`0@=UuOe<1e_&81z#)ldi& zc9h!o(MgvrO`F!r38R{Ryvu;>ev;98n~-5o(v45nL(8PShBPhyt~&Lp8pEW_qp$G1 zPrn*^{@w!MIUlRFb0e8Y4?jjB>#)_0mryvLF6+5J4X&wZ4R@(QMt{IwRo|o}Sisw= zzNZ`gF8Us0^?1(j)WY(;#)s1{Li{&E{PKY$Cej*ikBb2Rk@0bpS@McFoXNd~cro;O zlbhtm{XE&A-;d&KE+qS$f)WFYOMh*@icBI zQV^^jupr@?iH4-f{zDKYr~v5)!exHA!I_#TMF}!mY7#2*AIy;*;8)((JOW3nA-XhA-9Xc;v9!yII` z*0p9qju>bET^qJkLM`M%?lT|*o_qTm7>tW7HS~+Iw`fi|fL;v0XaJZGzEx(64S{F@ z4d?MCGm{(i5Xx!Zv)}&qgBroLBTqQ>_h0+(Pv=g!;4z zo_xhBZPv^86n-E8@eu_lY{LCu-|GFSPe`pG=#?6KfNc!y)k^gW^?&?NR|~{xARy=T zYf@!gj5XDPREzGIrsZ^#)+|MAl#kg9JrMoL(xcRc+SZ1Dj5$W)~17 zA-_KK_HNI$mZ)8O*Vn}!73{+@f%+-Z+SB-5D8?t>!LS6z*o!-i_TlJx1D@vqSBp0~Q)}yUMH7Zq9<*g^sJ%Y02jkP0=L> zFwjLO^3EBPt910_?3C1N&-C64c!LXi3>Wm2iU*8H{uMcP?fKCTx9$O;bVAUd8eawxROKks5oGgI_gjCO>UlofydUP-PHT_ug(!hI4b7x`ovSQe{%!yGV z&z(zFNd)HV0D(s$$%1adKZ2i;dFR2hM4s5KOZ40M5U=?|wB-E3&k;jq#9<_mR^kIi z2%!Exea8uj4EC7H%YK)KXE;H|$Bo~mxNX~a+2?L&hhx0k(YWi|la%%?AD|08j3-sX zGK_1rkm9Eo{_@;s@;)>UP}QYl+a9w2*Ym9R*E5A=bvfAfL$OEUzW$pMa6FTr9GI^K zK90ZdgSLdxH$|z|rWaJ}rha=?K(dq4NSbk_Jw52^R5w)j&`F&L0Buw*V&U!RI%fDF zK}1V^j?l*iIb!jesQ*=yYCLGSb>1ri_hd|^0x!U5&a*(#1Da^FG*+Gs&<+kp`xJWw zHb+d^#WSrWEm&a<+FkvD05l?^)y04iv){wKG*QX6FxXzCbM+Kd0R)&S$Ah#n27|y5 z6dJOexBX=i1%aC7VeSH|_~#BYeL>k-G#sD=p}>6a*Qot8O^~qNE3Bf!sq+@;U7;ay zh-krVGeKwie?oH~b({juH0e9JDRbcRuht>bW_Muqd5!yzhy>!N3jo0?dcv1s?_Vq- z-t-9wDySJ^A;=PI+yqBfn}vl7>&_UOKI3L7gSE7!H%ohJXf`~(cQ=CP4v#+!Z@AY>pMzEErWD7z4E*8>;B$l%R4m75748$-T9!c#7m38*jk1l zh^v<0lPE5e>NwFECFzFL3{G-390e_>3tpv?BUsLPxW%<{JBb0}nJJDy@E8H@v0#aFy$TVoI` zf;YVR%XoSjT_(#_pBw)QPX4tz`Awe~*y?8+^%)arqVs|I{AWeJev@0@{;l_XS3?;n z0EH_ZpF=HrVE)mE5{D~gnh zs20~9lBnKb+j*gEg2a5?!YX9O@>PVVU=T2j5-9T0m=hi#ZXabs%K}og zG7Q&Pd2G6c%i{YV^dcP(Q*W5)Hm#0=oc7av4kS*FdYLl6NO9)u&=_B8!yE-U#}FiC zOOy!~WaL=zPu4OWHlq5zvMRX%Mv3RqCE=zfNxq1$a@0jY(g#tV3alnFp{3u0rK{t5 zT4&$l8g#w0KY*6M!lxTlf-vY4^ZVHRF8S;B<-m-aJ-fF&GLx4{2?r)66f9L~c9|&u zV%~pz?m!RX)J1YBdr@3cU7jQl*^f5KMU3j?2%CCyaBjW+`#=6b^VbI4$pH4+p%>~% z!UikJ0i{5giHGq`4H`v6HU@{>WZN3xoMAMq7k}$DW9OUuk0DZKfoBA11x_c#(go$H z2kNRC5Djfz{&S~T4<&$lw2w6X`y)ESRqyG15s6&7PYBV)FdBx^U@D&8c>{E2mX?=l zl~gb5^<~PeqP9b&n&Y6Q)Yc`tzNyaW3qsxDW5NE|TN0l{|2y*ep&Qbn=KC45zW$w{ zD?m4IsEw~z2?oEaRJMMvKVK_l+Hlr6`j_t1L%Pt@59zkNXqXhF%{r+rxbr3YRc#gL|Tje?QG+Rn6bs;cEIwso!+S(iuiO`OkP zFNzJt9Y525?xHv<=U*YIPjOZ<0O)U>m>|mE&BThVYeHRvhrYOoPR42qN9fhfA#yvE zIX~xW^?96(HT0NqCNyH-(51-Gq?Y|(M1!;adlaCPt%)(lV|qb_zDqKk=)PJts>%n1 zh~?Or*Om+iaW$Kq{!lg~Md$Lu9OfD{cRSKhVaX-46Pg=1)vl_0kp_zoeSEY>_H!Vt zCTlG}63Q%Z^KPRSO0=Nr3U#5TEQ?ZpITIoXjXWv80-x2tjtks!lVjkjLquGjCM}dl zWxC1Iz278x@;Z&9&)_dz)7}}{NtLBMfr{C6qf&=XoS8I+(-E(XIlc)4Y&8o8o?yZ} zPD8dRz#;T-c2O^yF1^u-7FUHEh{m*M9LlPh4%n!ST=iZNe@dBN)dTObM(NSvaQKl| zuyD1Alvv8*D1*|E)J#6c{e(x8Z*3%xmT|thh^LU7FC{gIyW^r`vKKuOCl5q{Q*sTi zz#d$ri9)itSsDh8p`QYxdln2&qaiX600g@i>53IrRn(Oq_anwvklw)5uo;O|JCpkw zn?h`srl6SemeG!sw}1{B)Zj-W_1hk{1NxynVueEvF0zA&a?Gockb0;SEqO)(RR?md|eWsLI~fOu9LfQsk6qr2@JHd z=cz%u0v_#+rT{cEkLGDsLP8vwEeY9 zw>*uF7?Bkk;^kI8lU(@Wfyxwv2aaZusBA?s9;$-1^pr_-a5y?V!wxQ^@!2tw#F97m z3l`p5uZfSdz9SMb$-21Cu~r2%eByc1^~PcTWkBbljCDX9AzGBi09YljGlHk*o{&fWN19eg{{6uLnp}K+;)x zlFk>CqFfXNRaH(^0k)voG|G7bbZhH{GN?F2zXQvLVT_q!WIXrIF>yZIT|YXaH(jVI zgfePvD>lTX7J3S)pGIdVBMeL3{^b2$NtZCQKvSBfPasnJIwHk6gP^4DuGXy>X)t07 zQmiKWG8Z9qk;)J{NpGh5GRET9!){$r>a-J$7x8pHDJv>_jt=N_Ju1d_oM-iUz9`~G zSVoVU%f#I%Or_?*-+1qBhEl>(M)i8VS_E3XZ)Ey7JNDVmrD%`y@@h#CN_hZpQSF^N zmFYp>T+IX+vp#VE5Y8C{(9#(jlr?C6%_pEyS?pgrKOB0YhhelpEp#3j~k?E#J6B9yfdhDH~KVZ z+LyD^NsoM-Zkue9qes-Kk`xFcYQd!TDio89m9jz85>jCV2HcdS?pFCkM$oYk$pn$6 z3a|+mE+ScK%`ByL*zj$fMIS+C;iKsI1pc+JMs$3l3%{%g(hJra5@9rd*|eHRpy~+k zN*&`pRYxisG>Z(_{)qn3rP{R_jiEA1~DwSOm$}-_x4Lhn$>omtpREywSr|=Dy#@d1o2a&(xdFY$= z?ZH}Iy#HA6&4U+Sdn`GTpV|1J4PboCAdu>~aIpq!bD z&Q8Qt%CbGx*MP3iWuoTl(E1VIs?S48FYZR)sbBDF{ljn757YuxcEP}544r?56{jfY zah|?r*^t}!f6@XpL0`Zn0oWd0;>>7r=@^La&?@zTl*kLrV)mJk6rlI>ageM}4Fb{i zsed2|(yqWz`+&E-K@g47oStszMUl;Y2?VZ$E6e8Abrj=pB{PIRwQ=^g7#Vvp;#+0H<+PlU{ z;?|y3>jYzN;N*{vhaPoyJD$aZ$%i!@?2Y0TvbJGDUAeoUF*xjxV{txFZ?O`@S2k3k zW-QU){Jgc4@A;-eUUGx!n;7y(*FNYQ1X@A}_l>z9qaFGs5~9w68St$TG&bJ@@9-8_ z6rBO|^R9GnN!CYTs{lq<#zgt~-wH3{yXapx>mi-70?|K1dPobh;XUN;x6&WJ_0F?~ zgXU8whJKN(Ym!ao#F(z2*^S2N%u7-*FRB6bBBWU)_Pf#}@D?wSgH?D*%}~*23gF0* z`AsJRiTf(7;0=6ALC=MGhAiF6^zsH{G1&~l3DM#j6bcKSnTFm4k#S967$2>HZef^} z$|c8guJ$<%n04>|CbwnV7%Ydy@K+!BjK{sPx0bweOZ=_H-YT;$6#q1A$Kx{$f}RdE z=Z|fJi_4~g*y$V`1?6)Wx($ZSoPdj1*p?Un<>qUS$((9ir9ck_1E<8I!b1r zb<%tbfRCw}JJ{cb+}pUnVH7%r)I0J$lcbX&1_&{ZyVE>h6{UK#BKib|>{n1^8&3GR zSLp}!Q$LmuhMaR;`ms!bvqfQSItmT|Rb<^_3|YJvWn7`#q~19a!wiEp4o}0C4L0@E zDU}g4YnjUq_C&wGn-#@l)J@2qcitTWwB^&Yz1#jCPrz|I#<0`vpWj0N9Py}TOSC}< ztfl;N1tsEE^gAGMGVN49?}!EY>gV5KF}G93;>n)duC>JV;zrd}sumXvNv9F)MW<&b zWalcOyE;uyq*7*C?x>AUGEg!SxQgp+3WJZLZwDrV!e5v0#=MwdR}XGa`X$AC5oefU z^0T8eJ%akOMp&&U1!fU|nxJ34+A5?w?W5Kk={GDw-4)OyAtvIV$28Cyz9*@vYvXS4 zn$;`;sL@SOGCE!_APd)`-_cAD(x~2XWW+nvH&e#-dP}^i`UfXAUAop8YOGF^NP;s- zcc)=~Xi=W!(0(4u@K{ERO*zY0V*0tUE7kQOV^GrCsI$Cav)1VF4JLt-Fpm9c6mRAm z!`fV*R?TyOZK55a)Vr(SZQWXfz`I(MHsu8*E*<#KGy{S@HA{A*Vv!cR(WX*sZ)~8t zdY*RF=NV7E_S_=t9|Fm%S$D4f`%voeu3?jaKB>6^8{4ru=~zcW>MS--jZ5lz%Vh#; zxignrM!10?=TUH0qeBbf1ZAe6j?w6~dcSdr#h?e%*ZNDTl4XkKijIBt>X5mr>gdSJ zBEC$OZF{4ZH@x-nGJ2UVmw?90^TN1>p!B5Xcep2*G-~RKyt1n|v-m0n*Zo>8rxE=D z`)V{VlX}siEYq3D`RU22NztydMhbp+xcxxiL&p@ zjYknfnA&9cpk~%*mX)-#viv||v3)0=^Y%z0ruSm!0_dxHQCWI%g8>L=m)KQ-oHABN zHR=*!qZ(q(I-}rnfHGaYYPoThkX0zou4AINx-VW5CXf|}wrtb`usjz<3$<;K5cggo zL%XGU4e-l&S-B+(Eg}Pwl9r!@TrbcR$gTm>py_AfQ#d8gS)^Qp_C6&Md;JACHNtRC zeLMA${-d#8h+^irctPKf8wOb?YOP0jM&Fi?wV1}5C_4;gGyY=g1?U0VRGMaKNp(8J zr02{(JXC}+Mm?I=>;d(b;Rt6$;H%oK7p6+MN4sS01MQ=7%|iMn+y)f3>r*E>kkC|{ z)8tM^&HVS{2-Q%K`{4HJPl)MKO=&F19E}2;j!{))%EnEmnKCUCU0RpREk!h7B2-L^ z90a)uVAPAaEGnKro)krQ)*wxMuhZU}49a@dRx`%O+z?Eyw*u@b>-{6Ez;GB} zKoI~)phJ8sIf%hqI)CBF&cwkWU(6#0= zp$|9l3cFS%w9D2Jzf$YF7c0(B%K|Y@Q0WqQKjP^!nce=yR`wy`mb&{beyi(6nIxLo znSm~n*x3!Dkn^L1z*sNh#xP!PvS@TN*eWp8!ldeusJiY3W2;JCfg`Z9A|hd^IBIeK z+FS-Oo{PN}#I^=mXRw`J@xQNM0JU3&!N;Etx90{9!w{_r`|Ps^(O2NcVgR{OX(|Ub z1*o}E@5n^Nozy~&@Q0&|AoQBoA#tI^mlw}$>dpA%DB1x8nM2!f7Hu%JVZeSQ`SQDoHCb zbW!k^Ofg%tUnA@6_<%fs6K}kXSLUoUA6)oD~rZP4xTO2ES@FVYLUj#qYMLgT8H>conZHrh)1N2*qH1ToUzF8 zkrCQN>r=U@PVZ!q>lFO3t%$chgUjT^phpr$Oihm|{imKvpZ(b5ZUV89Lm~UU`2!}RN z<;0Erc)UQ9*l=za9j>sH8En1Sgbc4QMc(^JIOIkyaNp{FMGQt%`@-R7OLu z`u5x8+iz>Ym}>tt*&myL`5brt*xPi_fMyrsB8k^JsiV(-P+Moj7v(lR*|O+Ms2D+4~02wLS%Y+9rPK^lz1IN<;B5G(pXz?Z$3wb6O@w#Z{~{ z2wL3w-oe0UomJnwQ`IPKGR@IXkC{QPa*Ztir^-LgkoFZ9I@ZeKcz!NT2>mK&RszM$ z4-WsUj%F@6PJ5%Xv_i|;sm&bULxdXsBU;bW0WqmxY?2JKr}x*%bdeWXF}K`Ya2me% znfh#!Y}mQ`bKj7EgJ1Lm$*CdMSD&84sm)a`$Of4`;JN6U8~N~8$QiJ7%~5H`&(sUUV1oyW^+fkA`OG2Mj|Kk{AK-T$h{HVpd7GX2ogn=Az< zs|gA)-Auqifzi^afaz2Rpm!ZW{pW9PVkxAsTBm6S>D$DxVg{`xrU%0yrJn+b+kCx{vHhLK|=ju;@t!{ zH^(RfA(N+0;3>~l-!<*8{$QQ#AxQE>ah(lbi5+unZT*I#8MZ?H`{o>(}Dv3~F z*O~XC!sK8K`dy=A`p&rs;l75k!==?$pb5@?hE?7@;6#LyoD~l`QNl zRIxX3Y4i#k2fZFx;P@aLbVA32gqaQxx?m3Xn9zgJ+d*&StB;uO0Kne<8x$=Qq5l`) zaK`A+a_NPM`-gGimjwX4FVpEIkh-$$Zwi*uUTC(i(-i^=YtYr5*5A=<#ttz6d-h{EjX-IL!Z|Qpq;E0nbb9=FRFirD+Z?U zp$gGJyEQZV%?U=)-`Ff(w8J^JVRJsu6wSg!uqiZmIfE)0PTsivc5fq7d7^-NO!ccG z>^;u8qhGv!R;}LSYh%({i5Y)IjyH}syqUq>eL7| z&iRGw{%yWaQ$*_#S2OFU#18|`0Y~Vcny<1R=A!dZO?kI>#YUA$X0Flr_~Z<$XO2(z zJ*$%3ZB7|ZQuC+P!z7!Mddo{-P-mV_(IT2*)=A{4v#feNmPS(Brr)qF5HPnDLxmCU zOlq1kVSYZhM~(r@0AplNywGrC+G1a9lqYb3J~zNJl;5S$<-VTMWy9&o8c2PRK;Gr$f_lhry}Z;}dXfnWvtCzXV3 z4<~M2AJzn65-hf|cL$@r6Tezs^FZQ2YqD`o9nK!{YzM~%*%YM;S$#Nq--CwV?XTI2b8MZZ2yfN;BF z%roT0p##s#VqL)6!87cJ6^PC;VDGx;a1d)$a65wYU3jsmTCz56nm>QE7rg?!cHO6 z@3?NENN-DC*MYKOE}~1waput8JOK+oOH2~gFx>TGx4TLf=`>5WrMGM2rjCRdw#Fd= zr!%~mhv_VOTCAf-MC%;3ZD97cuuvPgdJ`RW$6etQ&RK@pi6*r5=Jvm-XWvN0dM}Wl z^7e*rfeENqZsy|a;H&xoUqGP0P9I7-Ali2EMO}%JWhP@~?a{$*q;cN+qr2zr^zEFj zvX)M>TFb=>KRGomDAw_!A(K`cYDsy3!@gRSnytE)W9z=(CvW3^)Bg86e;fCk^}pZ4 zJKyj2`w!|Vy1;%!C)|r3aU@25{kE2%fiRS(4HYC(&+Fo#O`ew&g^&d!@LWvKtbu>^ zMqwoiE`NAHw&xe=iWM+uAi^H+`pUTKkqA6Itxq8sYz0beyk?xLo64xmH??Ya zP`t^YAg+tjcr_-;32%juQA{FEb#;kpl{@w6i)T-FqX(ay+i-*0CMNJd@b56hiu70E z_}=7Z53hmb8cL>WB^n1rpqzYk^~E`j>EqhDJC(+ytJk znz^o>`v$kZeNAyMT&W)hVC&7Oz@}UkT`%G2b$q*nYS%Uwo$C<&^}c%}yqy}gnU5CY z(k-J@#2rJh>!HMNSw=Jg>t=YiTyJ(mDnOWj*kQh<2jXlI8O)T0r=IXKhnTNgb&5sC zfD0%gov*w_J(+KyxPn)s=6GnQiJaBih6}-3zhk4fe;&8)yrBG?+=I6VVYMS+^gSAI zJmGr?uj}q;n_iWEwb0p*v)r#46Vp}q*Nh6TL0>|UU_qF#zk&x;i-VO$Bdt&burG9Q zgj|aNWKTV}rr)qxPjz)*s?n~}SJ|;swJ~u*rio^On^a%O z|L~q46`U^00+BNq8Ej9bHiQJ-%qc@IJ-p$=WJ;x6lq@~o-zr%uf^^*hv~M(J>0?b< z+7LF=UG!6zkor_ZrYVPp2C0*AA>*hitR@qocriSIx<(^;u~~ay6k?U?tA6ZoOTpf| z!M&HS{J9CYpKJLTH#-2jb}1A?gOVj7g>oSEw?+15W`v_NG)bhkC0y>O&OeYnf~u9j;X` z@=FlPlW%r(xQBF|+>VY0v3lo&uTMA(WEV`Yd=%VSNN+SzND! zR^XE13j66R6dlUgWCVvMPI0y^60!C=El;v|dI=5B%S4kW=#Te1w!Q^~jjGGmcAaw@ z^=Z&gDo5rzRXsSTOz`0O#W7I3!80K2da^!)|{g*ey{73cqUpDe1-kYemmd}h;yOxepKyn#%vHLy9H6mG^r!ZHyJcT{y-93fFT@;dfP%n8- z#4X6ymT{oPKtM+s5tx==-rL&7 zzI(r^mQ;Nq6c*@@W?nX#dx&KoA6O~}|C0$zC+=vD8B10@6yFbZPirUluQ&S2BW7ym z{Wk^~60X2vt+kC^og@n}Br0(nf8@(02%<}g#*?rL5RK`H=4g=$cNz5ES=qC|lz6Aw zkt@a2U6V_I2}|APQ1wxNkjfF06z%uF{W}!gU8JiP0cJ3w)#V5Ts+0?Tg^78!9|AUm zRfev>2G2U5cCtw`;8Ztv)6UFdgZ#iwRy)rm!7#hoX2RZX+k-&-1D0j?=v#TFDLm5nGyrnW zlk4WkG5O)zrU-FP%8soIF}>(DN0THg@_E%uSL#5A9U&JU>Hs;qyx#Bah74*(fkNI@W6Mk9G{;HxlPJigH|)fONuL_JMkl znrDe$RcVJ#L)2nr6h^UY8$?hNdR-LgDu+A7xtEB=|!VQU_ySb)P`eOy4>Oq z$|W1FJD*?+zor(35{=UY-?c@mdIszJ&c!xK&63V77k;ec}h>#Dm- z$FawpBzWCI!LXTOrE!v%fK{Anf?~e4`)#C)Dvl#(aW%L1zH(%@l!iECLZi){^G%dp`7EeNjTtPQ_B>`H1XqsRt|oNxYoWbQnAG2PmcY<<4LFCFJCUwB6^M~*xx8GFu94& zi(Id~UfvEK9YnOJ=8T|fhrM3h@|s8puz?JA+hxLUA4Q$jqNQA}9oSCkf+6`8_6LY3 z{@oAWwGI+EU;;Pjxn0D_U>L7@$|1q$vhD@hwij)NiARWFP0i>oL@zM5?DrQi~rqyZ4CX7%CUk5br%@@tW7eR4h+htk!GSrxEzG{s?nF|&I_V#2t z*eUixr^WLa2*R4%QJcavnRT>ugX)o(%(p6%lVp9JK+(DE4`w*rhIe39+tWSSjRLq8 z_fdoPU!Y%l{q!G^fA8^Rd}hnTxqX4B^IGRHtS_6XrtSrbDWL;9_-GJ8lEjJM27w?M4bzAhm)W^+3-NYxX}=9o3+`v;gHqug4n9NS@OA;E|{ z!pE9{TzAH^b+u%7>u3GYS%yESHe`MU9vW)*V>Zo{b#H~42-$|gCWwrw<}AER-=KzX zabD>*crS^$t+2LxbVSIng9GAhzAY(Dlt5KI3xT<1DO$-uyHnTca_L0v)6ya+u$`SO z&J#>ytcHyuvyA%AEt{KWZ@{YqxdFH_jZTr7I0xLY3)8|~Zme9>k923H_@ER@K-idX zB*`qpsH4%suz@%N+sWi;79)b2ug4%qi51rWrKR{%dF&))#z?F3-w z-;jQIV3)lhwLrQXKp5Xz0CC&^On zUm$B{Gc0Z=L50v?V-QiR1(Dzcs3{^B$jjE$G3Qm9UD-u3*dm>>MVphd$Zhy4*e0E_ zMVrnnvSJcz*zD!<(9}pM@@F8l+V%5bv{-A45=sAkBX}`yDew(2dG&)a3L!5f|Fopx zb!1~({R`QYUT%Wx(fnJDmE#y;`Pl{3sd-hd0FTVn9^#W$j-vafJaj7tvNqOb4-pxz zGk>el$lxu0FBr*w6k$Q?)H>x}LW_d}iDp_4oJ*o@_| zdP}9P-;~tu7AB8)b?37+6m1rx-{ZC?=C&u``U12b8;sYo4{YPP=3R}{LYQ@;6IC16 zydkJC^(X;gwg^RUK^zfadT*qbuk%MVWHPVS+=tLw0>S)&rkfW`5k!5}gB(5_)h7-K zRID}R5@AM(4phY7a@3jeVNI>-MLi7B;Hox>I2&ixq}Iq?J%l-gg{4L?fimd>oH7G5 z+2T2bcwr@@xg@5JMXl6~7Sc!7hDukMFJPmfbtmkSt|kH|2{a+ikgg`I6l5SL$1Uts zV9(OC?Q#dnN~Svv+wO525mSE(Lp{aV*{2z9a)7GkU%g7*Z`6vaUJHc$S=Y|pDu`kS zr{+ht4MzLgkHNO0W75h-f|KgtZ;h-+ifNgRneI}T+1k{_nok^O)I7h!7O^pgQkb^ zr(F#@Z1pp!M7*(wOh`kYNtx{F3#nm{OHsan`ZmD?z&ku55NPvcTO*!Z%98%>s z8ObM|Eye^27%ekPx~Uw5^|W7jrw`Ne2|7VSU}75`T7Pq<@)wSeNRjwrld0*ghGh|5 zs*fzzRPaRDiZ=ojCES3<$I-0awNM-6a7E$T7`UilS|d(iCuLxR8qorDDd0zJq-w4F z;*tLUxO=-8Ns??$NZoxwTnQeKRzgBTIL)1j3{7TLM&y4r17ufqb@$xL>bjNH(=)fH zb=M=pGr}t)++*A$GCK?9N-IFXE?4ltBE)K?eL#W-9$4|fN@x))A+A=exI##9rTuwX z2_)bNiA6ktogXthW^VoynOSpZc$n$RaCiH2bF*XTeCPYDi=5+p(TnvZslKZJ9~=&% z7s`gt^`P1W46_QJ;h^)Ic1+VUSwRjrkgw88sB+Us{xF%QN1By3v9o;ll+G~jDUeqEt+TJ*I{lpYeY zsQ?KR!Avx@*@3!%zu`&vFo*s6DW(%@G+l62Nyn7wOt-$V^a6sWng^IKw;i<%DA9bU z;8AgCio&<(l|zyh1(E)hf}dB2g`JOAOjEXf_*EeHaA0d9#>>QPpX!1}9?Es`NNqOz zJZYm>VuI`K-2V{N)c(iGiJ^wC2%tTR{31c*Fyy7(jOVoJcrh-^j8!)Ivg)1LPJ|h& z(Y#QvX&I+?HHJJt46d{n)Y&&p+t`qqPL|5)*@#zuCOgwNePnWJDWDyKK0BI4ZZp{S zBVGrB6ZCua7`*0M_1&E-e9aHYDm{o@bB%m+=L%2hey;Dn@VTmCO7<+)HQYVkJ28Sd zGX7!`eQDw{SkAzpzy-D4B&8%!!hq*QQ{kWc$mg(Tl8(Bsl;X6_@PoP!!FVibqB__- zeiK9}(zGrUysk6!ZgY4|M?4;|`nwMj7EeFkfXTzRaVKCNeVBN*h5&U4qZS~B3i=u- zo0oOd5lUu@4MNv8FL;z^Ynj#YsrcLINU|I#RPjlaUO?LY$hogb^u5I1Y&6upN!Z)z zb!4InVA`0-#wv!%O{PSnL-6vQSGBt8Sp`c+bKT)8|GpQ{`x0E)-Uq?@L+skO64=}9wy-@?s@PYaklz{b}t--C+tp!%2R4t;J*}l=V z4P`IW*BS$XSKlNt_hNd(y-`o3!n(VxWk-P61TM{ZL}41Cjrk1j3K$9#98}hNhXnw* z;p|6NFEE($bJ5nJ?mb9w^nGnXb)P9&i|^r$cVI-gE1D=wk?`v@4qaeIKHv0%ql^M% z3(Y)In>eN1bxMkV!8$cK8Itzbf3Njwr$q?;U#QW@F{qc!6F`~~RU6!Fmr~W%t28Fv z%d^LCt{^|H5#(TL(igLLSgEp=N={i7BD)G7C;gw9?AF${~k zaw@70=JRpd5-FVQZy)SNKUV*Jr2b3AghTyaWf&nUmeD2V8+>+g!I}53)u`Y$_zLBx zxD2%RFH^NQsTZqe-Q_o`o-ZZEN=>!iGmL&#D|6|j4zAe6Lhs}{zJlN`-1g21R?l+v zi+b_IScCq3b@=W#y^lBpXHgufUg4XKS%)H<^g)(MXaQ_ZNKK6&C~zQfQov*`GHj$- zx`9_vXISNn%uyBC>QOB$0M`?@irWIQXo8dMScYsFv{Ezrqu-L}+0W~xZ@Y;JJ!?s0 z3sH!e$d5@C)=Tco=2SMyUu$|*!N?G7!g?7w2l4Tq;QFXgd>EqJZ`DJO(LHatN4|@` z#RBNo@6=BEt;2$)e%dnb!(P5}6W;pm3B$p_QA^awKVx=Hcd1_ zrZKwUhVW1@tX6aU4yL$m&>SxI;Q~i33Q%s~s3z%~K)4vDtas};=XA9UTz*7Im~m2- zD>2NA><-gZC|LI3Ys2G6CX;_| zSZyjXBwZh@R8k44q8tqRhhUvitSruAk5TM342~1$-U-CHS*Fl{L7X%lqL0NKXq++t zj?}!*nwI&O>v*1Cpw&rfvrY-^5fnl19IkF98K9{SPX*wUsJG58v-~>i(FuCRvyU_K zulWE&jM|}EG*-E2rLGah8B5%vcXUF2A&iyWeV>GlumGDX$PB#`@rCybL} zbyaWv%JfkWEeu|*=HQOAgK9}jEw_xMZL3+4BsN2~M({v8)|~MQ552HHe2n;e#c3s+JfqGd?i*wqTa28Kvfj;owZmak>QZ^@_3u z@AY_i1J4>Pu=aKfQ&f8oB>S_h&wPmr#g{1>5H>-sG(`6{Vgi8%qz|p=#<)3&{si@M zKuu_avpoMb2TT0Q%P)QP`6-1n1#YGQ4M94?U_3L6v~%O zwuOm47do-&B9JvHUpgJ{;{x_p;q3INH-|wYy4d-9!yn{w$l$WAGC>QJK+A&-i22+nJ^rF`vU{fNs5Foz+afd;L2g}t#a(%5L+QF* zlAsRu4%x2Z;H94_q%CAkvfzd~S3u5CzpZ*Ney~d{3P7p=+v}gH$a)IgO%2zvGXM6% zLHK*CZML%#Uq7C^pSjDuud_pCB#$vh#fdpO+zP<$M74P}L4#KHN|Re&Gep?dj20R7hUe(V*|ILYNg69d zP91nkUdSx(Prr#O20+Z%9|N(*QOXO^pvnEe@4VTv%Fr`G#Vx+pI=h92xE&UmQ&<(#(l-(+@yqkCqP@Z4;m!b#+_QLR5A)uI zrj}X+@C)Bk|6nn#e15Z7suxBsa^`OSihhhfM?WkvIeTPRfpp7)9UVJS!l$gBOo6qh z$(sCEJ@9oYu(p8O{MT?1HU-ueQJeo7E`l6rTj~pqhWt=JWXRQ)w++-pQJ&2W3CF}T zAaKABP!wQ~sblTX*+&134<0D>?;;r$>)3vPLNc8W8tUQae2;Bj#T2=twYDMF*@sl& z^n`dYndBDf++!=f*U37n8bl$yuM>h(|9GQJBZv(=6@tPQI{`yTx?*(!6XK!I|e1q3s$>-86p3PQI6}_@cf<3?SMfm5svb0RN2VYB!$* zx@zi!_{$s^_mHkIz0e1u`G}=P{cnisq3aPQ>XtKzu<3OCjtnw`eadDu32VtDwIaOW7I`KT5>FpbWe*bg4+_faX0LHo|o= zTVJ0)Gh8$mV79q6yo97EymHraRlkx-v2S!zL$WIGS}^z_RqL1{!zuoZE{)?QL=7}z z>n`;$M`*K%fit681NXySBVAag!s4xEnXCE`T$V7oQB5sQ$#a!>fnDdL;+F80<^*BD z`woS_xl`=9rs;qoEXA2jmI3=EqFTZta^36g6`o)-(%2y z|5n9<>tdS|uPNqcC;;@2p2kO!Xj92sJN<-2$etaTw3xq7r`)88(4P%6O6} zqX7(-sK`lhq>Vtjj@qXH2nmF!lcc}_vqz2vT=yP4`o;YIXs zU-)daZr~ZGk86#Y7op}kXj@@b-b=3N2N4gLnNPdBklU*MbD)XBm`cozM(qyt*B_66 zxlY+jbCsH;$wji7<@iPgtuYM?t2I;_W^&>$VEV^XfFsjKoGvuvEqk~@gq5zpN1x~M?T)Ngu#icfd`yO+z>+NQ-TX<9)0K?$h;l*0hjB0BbL#D z@f3;Yj1A3?sgpGwo`hon9~Rq0wdld_eaar}))u}24|-GgJ&^g|7K zxFr?RUJ-{Z(UwYmlEu<5_bHc`qefK5MUgM`oWwP@4w_Mgq6!AWZv5%S$b$)47vZJj ztPcM9XV^oI`*AV=@Ms6T2wW@N0l$jZ8Q8!>nYm(N1S{-6XygNoBNlyb!=EXsOA)uf^IP?*D=xmELclS66n(l@ zCy{cVPGdO@03o+C*zJH@w}6E5N|lh7qjfPQ6Q{^mJJ(4Hj1iNI2#$!ec&&=jvUls% zG=~xvai%`^;O@kQxT!6QEnQF4S&T7@r)n?LhW8 zSg@d^Y6*MrqtG8OHwt1l`pz(|z7!=li0Xtad1^@+D;sJe;PQxXiO0&+xCt}%+RDur zI7-GaWcZj*_vEGT;pc9VNEV%C7nr?W(pHu!$O#i%je>@tGIG^&TtX<98n}-`69U9hJ&K>K+?gWv$QT*JMu6^#Y-#QQiXy^;2$E%H zYQ+}9J2%x6$K1UJau8{kzZy#;NapMha1QcL+d52KlMUY)eR;B)(G(l(tAD{daq?m9 z8t!lXUL1}N3eAR^l+#c~`}oq)((uo(HG#R>$X+mT>h2Sw$fgvS%wjz2L!o)$MgJ-R z#Z6Q+a7|Z>YpA3!-~tA`qke{3o5m}#P>s#Gzz?cwy+({-SUaIpMYn%@BX6M@69K8i zFGj#Y<+=bLm+wtH+*}>C>Y4#2s$`rbL|atkD)9?DgJ(R$1NDyIB>HZ&+P!Um2%M^cWskFh@OG4r)9` zX{HNv>{)yUu{w}gsz~un1iv+ zpTXlufLcx+(+?0-v3P^{0Wn#1tW#@?8`+~?X}-!J&8r#DwOY;~uBzH`F<1Y$E(z@N z*+&gX%n$<_fB^&285>bIpi;Mm5@4A!lu&Vw29e;gGGZ~k22DS0_g$vr%bW!9Siv`$ ztU>yh_K<2Ot+h>5mtwksmw)34J$kac8!Z>TyTeTd!ChU5sJfO}0uY<=ZM3xlxTbDKwQ>TdIPapd*Kq2AF5

      cx7m9(gOwpH`s>}1WL;M@P^18G4&3ne{zXH4H!Ka5V-(={N}?9tpL z3RyY@X)fw*u4y|{OH&TX6Gf86+tKgNAxd?zE>_!=$eS7>XqQIWNLm9rCYAIwZA{#| zI=JhYqYgRqU5XtD%TZ)HR-`0^W-9EHRYGAntw-PF#e9N7#Fkb7clnQ-@-6JX?sCNp zPL2nt=d&4UjM>#D@ydr|$o1av$ZUITa+X2nWE&fCheMT2Vv_=`t%)9Re87|pJUYz9 zhWha5hG-9G)sfT=jBVCPtgi12j;O4Mflf4o^Tz?KVx#FBkZlXXNZp8eW0CrFdQnfZ zyODZYT^hwk%4wcTo#WN-ERWV$O0)D?g{HAZ_RPw1_}>=tpJ58??(Xix>7J4I3_*w$ z=e7=U(Hw1rfIqSTOV}J($$+DZ6Qb> z<8!I1m!iHUfD4%|9nu|_E0d(VyU9N2928n1B*r2mgT^@eoR{bdBtg#W7Npqr3E!vw z0svyzLZa=^Wl-@UkUNpb*V1#*b-j%;4ZEhp5;x(;xBu@46?sFuPYG#1Paxg`%u1Hi z^0OUW89`tCPfs|if!00`17Wx${C8ci19*=hf}>s{&X*N5URK9s(H(;48&sw_g+8)4 zKI0l4lP{h|&(@doIC`V5fvC#v1O-+m$_jbf`Z5gt82P8?#n#PLe z#sczBmC{HaYAU_`{YsoL#6a(3K29O?5!myE#MOU?t(T%wG)pvN~7~&Fyf?nkHosJg>IB;*R@cKPHD}y>r~|JKlNLi$%NdA zY_(1^#EKaA>bX{rAa6$#2xzd@CbA+r>@ruT7v{var87u{F-@gvWb+(9G=18b=uxDl z2>u-bRl><`ukV5JSu;}KRxiD$`y@bQ%R8y@HFK$&mQ2&R8toOioq${WxK@;Jv!+?8 zzD;OVE%$qYCQ&qtZ>}Lww>3DdQ{CIFT|qg%7IxLz(P~rW3p?~HHJfLA^hiw0aRz5- zpcgBt=4fzqc)Y)XQXhVFUNpj|q|-r(+y4cP24FZt3~VrQi~@haw`9{ZOcV=deUeVI zo+~1+js|g|8QW!qQyuh5${BQ-+f5CwkHq7B1)e26l61Ri$tB9Lf~BOEHnmBsJt~Vc zjoU2p8&!x}UdrIRqRW#T^`ezEq6`3QBXc#QWS*n%S#!RDXe7uQDC3|IbbVhy6;SLm zxPjAP2(PLo)U$2O&Z!*z3GwTLwzc?isdY>9C!iQ z{IkluA-r?XF#P|_?hU2KBCP7>STG+(W6jfHBL8nVb~?XtJSccwXy7 zPp06y8PD?6MA7j$Prr1aDrp8*N+63?(lEhGW}k}3kV91Zp08SO3SB`wrM}yCndv&9 zja;4-cQY@(>SB^kOAzwda*l+C?MuBb6#IsM2H_}y|iPnaXW_Zr5(eK+p+gv+OfBB zJNDm8JN7qj$H9AP$HB(!ID9YdINZ1$NAIN_M;o`}_`S5_c;j}Qyq9*IY}$^&ds$Bh z8?UE>_p+W2Hd#+^|Je`42IkRZdF){XNp10;kJjmYQe|<5XKw)Pnit3{jA0y#rH0vI zupEsly8?@#oyjgNegSN5`Y636B+_rTDH&i23K9YlM_5`_0W@LNTB#P+{wfq=?=)n{ zqXJmvn&WX{be&A|%t;Bk7Z#+jg)VaS%BBG0RCj^Ryac`yAb2vrl=D0fiH@6$rmMtl z;qCrMnx{cEa+)X`+;PDYpqlk1&_!kM(T#qQ!>N{(!6>0f2ICpW!Dg0V8Q`c1gwHv% zKz|fh>X?+WI%GwxT*zC~$*^E)EaOfKt*i80B-pQ?$Dq z{ixTsv6l>ehvPXU_v44C-ZGGtOiUM9APa-`<5{{&DAdY>9csF`55g0&9Ija7<-v&$ z3xF6nOOw4U5BJF%dbqzcQft@Qm#@xc;fCq3Na{n@)GqzXOCOowg}>=;!vLY)EFkwO zQIao489-1JUIovrpa?^JuAq|E! z!26NHd68WDuWSeeqz=eaoYDZudmY_?PoiE1B-1ur2O>8ftp}W`mNB-91Y+=rE7}^p zraR8p6YXk@MO3g;CFObv&1|mc+}xzcGOp%DFr6|*<=_vhT+gO#k-#^jYxzCI1M2z9 z!v?eR=~pk$KKt~m7tVM=Yp^B8S(i?*Hw-H@wWub}Q*iRe6PTCq5L$-kE5O%4X4lLD z|KMWu6rOn@pQ)<@+^lL1Gz9Ore~}z;MEnk+FtrxzJqly%oK)z;uEnjoDI>K!!%XCW zyAXd6P&^F!&e8&walg*KRg&{^8Hw=O&wwxR6;Vf>et#fy2NF8o-w*^8LPt5Quj zZH5q|z;zz+@2dS*`CRBbo#)-J zchy7kX!Q@(iggJav`4~kRQ4p7yyXLoV9KlZn@!B1RbJ%QlE5SzK?=tL0lpZHjZr1Z zr0j+8iIVq27gL2b-u~Yda<;2BJH;CH2KolW{8vHZC7{x_8ovqNfT}i8OL4P&* z6B0Yq-)zKQ6VL;~PeCH-eeu0~tlm^nNf+;lGemLI6H$xHn|wQZ z8>{mSuEc+gc5}IMYeh;C$lL@fMQaNIrc{s5SzO#8qcBmKMsKXLZnaNCHVW;uIx&w32VFJ(;TGRL2Z>73OLSxKf*HVUo$-{50ZACP#cc#`Pb= zSFg^$d=+iIVu@hr=J|~}zbv9JGa6@Tk-EIf$N9W3z%Ej?>h<$z>ouy}KG!C5->Y>y z8s)IbNE`6$FP`hWO1n4peim&lOSN4^KaaN7vx|Q3QS=!pfjmKBExro>qRUn-K8Qp% zYy^6M8Ht>L)Skg32c+W-h+#YWIp7^-J3y^{77dO8?SC|&Hq7D}Kl3jVSpTBak+Se3 zO|tVQDS%=t+WO-3^i5v|K~ zF)_7nJp;y}gf)Li6$j`F`lL4WV}dSk$@j-MG{B+V1@ctA%TJARn&D zIRk=8J!-&hPuY~O>EG^jRP}h<%-PvvkdOom1pjMXMuW$ge~9bXOM{wIKM~jFQO{vH z!&n5LamUiqc&d)H=tq2-FBWi6)(bCo7v6|=-?4U;_6@n%d4t=!fw^W%%fzhyU8i#ye#k4Ib?p)W^C2 zMmm$d0Ui8Q9c7CfnGkoAl#jE#&(;PC6{{%IPIsM8~?6Kb0V)Q`)eAvq)FVpF8+Ru@JRNT%~t!41746zndn7C|l=Q^0=y$pg|DBZxy>$x-0$Oj2VcXoKSNM|B4 zAec$Z&rv#wi+_7$c(Y41aTyX-qqn#KcOAq(;Gb*2DbrJ>UhW|I1`_>T^biszLXJb> zr~fLGrbr`5(4l{=%)c(;`Pl5u>ZG@VmN&JoTrYvt7W~G>S*@QdnI^b|MOU{`uyhCs zYSqX^$#+x3jmNHlGy9Gyw1qN_Rd|8(T zRPioSf(v&J(xvG>kEC3B8e}?=V>yNSyK2bN_DNEY6>9+{dckdU99ebwN;-Q;H8VF& z_taksP&-V+h)=kkvwVOlMQ1-%hlGd2Bj@~wI1Slawic_&YiDN~d8%EsxmfT;e=u0Y zKssV_T*JS2*2`Wa%wE*l%4Tp7#fHp4`_%079o#RXGOc=QU4f*JwE`;uxc=THu>|6; ziwluEY2v0ymcfRn$_2U_yoVfemWGgg&*QjQCTM(3i`e)Y**hFe>eAovBv*TOQfg1K z2t`1s9fA|8gX;YkzMt3}0bu&dDoSa|)2)urkupO)H*l(~f($ZFE+DGDqsCJGXC7aH z##*EnkXU^-p{#|46G_93S!f7&_7e4Ckg5R z77^U3Aeb;ufVHs_p{4y!Y@!PlVu=&y7jAP5#}B@e@|MKf>zGNnPJAWO*ETw&)?Y*7a` zLz>8Yk9KyCqc6+VYyk;vFDL`l-I2`c*AGEeG){Q&sMlu^CvnuGccT@7)3|f`))HcT z3g^q_6s|8@LGDnaU0s=KTOaP&{>ev8ejRrUlunzov$N>gGcykGXNm?3pmVe&Gwqj7 zsxFMmvuAwob-pu6r)u&@#!R)58n(>p78+#rc=h>d^hVvPRVAvPygX>lsd86L zc6+4wp)&505gb!S5V$t^wO}4YcKX6gU(${J`qB9#&cNxm)6a8I>QFmYuiqkoAxj|+ zMBj&K=Yts@3c#fl!M=%R@kCDyQeH^ZXywdz7ec=;rNZ4uLCCFJe@7o{h{7UGd&~2ctvc;2fOn;hKK?haYtmAiWQZsKeq}Lx3c-Y)z11(CcrI8SQg; znhE;3NQC0yu%xyoCEC-F*V)ipW)3=;&pHn=f}CfQf_5F9KoZo+KK|Tm%7pg35|A>- zwmxaLnl$L`K$28_26S_dvtOysBF5@!Q=8MmBsVu#8OUC4tg$X>IW2VBa&3JLnaNj% ztFU1Ywx3}gvtp7j1>P{ATSqS2K%$!bPFyCPI^+)=T!)zXeEWO&L1F+nkZm19s#%;x z`g+K=nyG=yX@i6{Zn6NOn^i&K5IO`K`$nBS;t`-Dw+1Jent#w2nck2m8NQ=ejTeMdlfEEHn?!iAGTuC)v6J*vbeYa`4XL!pvAJUCvz)Pju{AB*1I9{twccDZ^sDxRHtYQF3rw*Vh`>y?q!SAwxngZIw8EZO73m-h0m3xUzGmYpt>nOiM~}E-*?fs*1Y>p ztq9*5&?o=&E$nUIJwpEeA6xoO!cJ%w5cQ|tD{ZIA$SJQ>t)kgx8<3&NMYogz9j z;+a@#*+^A8Pk_)SdP_Ph!@XL{kXM`XgXmv_G#neYGKMo5z<91y5pQu}+{>e_lR6%e zR~wRs@Q)ACRChpeV`FvbCP!E`5*HB6_TzBI*G7`Cg@|7HORN*Kkw_B2YK-FX zI-sbrE@JLoyZU`3BvD^?dr1SZ2Qr_*yxc&p* zUCS#(O1vO>*CZwQYm=LLQ)+jtt!*T(nPj?BmLSLKR1osMhl_G3;X4(kY2aTr62NyV zieKvmOM2J8>PPsQh+6O6MK95H6l+x|AoO5a_~q}89-%Clb8Y9iuuI0As#XMZL0 zuMs*+iA6zj89}y=XjubWay)m&a;Q}gX-}3m>M~uGXE4cbxHAKnJ*KWYqGPNmz7;PX zFBhCE00q2L-3v=;4M?LVN{rU(T_M438KACjyz3#zndI=@-9b_jr3}EDc64Ae*6wN2$<=Ay#_wl8jG9=;U_i#>fjU7n(jodDG3Ss&@4wddSJp>_ zic2`1?hPCH4(sZ6+kN4PwgyK{w1%xbhPnZCIW^SD!Q)1~`>?H<+tD=5 zQ1^3hl+IK2w;sPP42TVW#>$b!`DR+OJJkXir-hoACED?-IfLVU^M$yg584aK@(X;P zH|)KL7J-R>zFZf~HML{2IN|Tg7rC#~5O04%_?Jq|*BZ^ExV%gl+aUsWtD7aPLGv5W z*^f>(j0yLo9LgX{)O&qSu}-=pIj(-P0HqhLY4`37L#wfymV{<{YL9AwAoA z`hKGg-Yn8%?&p1%Kcx0r&8?KSxk1I1N@%m;Z==0tbEi&6>Rhv5hnh|Q=?Buf`jY)< zW@EADtl5(SN;fihRBzjD@HqMo4JOWoH=;psV^vDbIh>xtYX+r0cJ}eN@w<2GQ(oi% z%({-}t9Kmuo2ltR%r8)%RZvGT9asfO&rx8$ti7|W@XwgWSI?ZVU{ugT!k{aC=1XnZ zd5pctYlr~2QNCIsu}P6&9?tDQB*%vU*h=dA8s%NrIRRNh(W_5SgFxFBZgsJ=aG?gd z8i1=xFiwRl-zU+xwxd9$j`9NYVVSoQOj=}msg}PS#ZEvy41t-c4Q06mywaz(C#PkZ zkJ%cukX#M$_4)k0Ud`vpGzlkE<0WYQI!iGZV5Qw=6-SA(w@{a=eh6=WN$NrXwhyBE z;6g-5cD3*#Cd*)#UnbYl?-L%DKi0&6S|}CgT3uBiOqKuKjgtpB&}G@$J~iNUYE`S) z92V%YqJMABWn2&Js9f<@xnAg3u+8H^;cseS|2;JA_CNe! z6XCNq9jn%Zw}j4Ba#*dH#zxGnb#B3SEwdMfg&n@DZ?vviH4)Xw;(hC%pD|SPI!+-t zz=W>fJzTo!Cq~dX#Jy3(W6Ys5dew~k>wY*zfg?x;4~{gKk1HlF(bG6f-_bG}bk-7i zLUpSj&(JWbZ1zN!C1TrB!8{tPo+46T2oS}=@{>&M9Z8kXDIrZ~szzsZ;k}LSis;O5 zSLx}GGhdk#E)nC5j1DHpaB&R<14h2r?;yYA2s^V4>w56?Kv-RQF%9JONpSiw+k5T4 zsZK~=W)n55Q741%*6e((ew~YX0(k)fbLe+Sl{h97hR7xCagD2TCnWl{kXCQWRC0u< zD3U3qa^1*$e`t*!>C>;CMuWYB9x)9Pxgd5D&$DB2B^YB8UJ;XMq~Gf{ovH)x8z54^6<69ATVI~OIqmZ_;5))tgAIadjYmL=GK0; zhDeF3Q!U@B#8d6eI#-sXvNBGmNENsB+3C5eh=+z!XJvgU)^`!d?G-*xCXm}@YdRGO z7U?k?HxgJHzJDeHno7)H*Z{rF`=;YBA0mN_NYJENV{rJx(7Qc_U7 zVxD9f@L;7GE;}}E-&I1Q7Oz#|<`zTFG~FiQ4BaNka&dcI*(}vs40~|l?3!1JvY6+d zJR__xav5!oFW@VG9ChE;h$vH^wdKBQm@~OBkq*+VBcL6*^NU!$g+-EsyJ|J+g?2M*tMn4#7jpX{!ptK(=j);{JNrUE;Sh=fz8N5nOB69mX-WgPO4 zLQ>zFk@=1mk)D)2KZiy?+Zx{HE!N#ryYK+KrRIW!P3Su0} z7vt#QsORN3zYegdQMF+fwPzlK8r>@nVpwuBA)4k*i?$YvCuP}hpiH)*J~>29O0WLT zP8?~N?qjLa)Hm|)I7AQU>hgS^f~(lBll3m_ug@Xj?As9K(sw=K!jCZ>MjP5Ah#EG? z4(T>PHku_arm4DytapU>z0TE%f?hu!)3sfXA;~n=5sP@8jb~){Jf=|OmRbb*Mi<^h zC?P;kH>;8R`pr`l`*Joxpl8`RJKK5o%-IUR_~Hq1;(4(QjLBFl>I6-YT>$;<9)X(i z;K}~c6O)rY&P&KHA~G-6sx^aRhFDn49v>CIa@<{a$cL%^OSx=3!`0eDtGwT|-ILgS z8j!?+bd@wLy!FstWk12{w(6NC2#;lIQNLRCX~K$q6>aVB4*J9cd;9;8Ky8s;HGs^3 zDo)wF(LiqsbbtH7sK_BrKfk8%wg=I`6E0n_)YkTqEsaAfqruKlkg2+;XaEH28{P8V zYbJ)l79MpWTq@Iegpe`VXif96wUkW5L|ooqTc`tBIHz z@^>@X`bld9&C(UbYkG29&}oyT{2I^E*s6{XMjOFK zM`WX3oZPt=@%!lni;!&6iNWss>cnniCt};^!RCz~+_}-iqQ2FEfo@2K-<4Gz?L4-iB2#%8NE$Pi+h7^@09s32W1Pfc`vNT*z@pdNB zkxu)iGA&nYvKvukkrr)?{KU#oTB#*=rjNuBsvn#Th9)bEJQkusW}=W0fEoK7d>;%A z;{lO&iNF>VtY+0-zkA2)DuQDCiXNo%qas})dGJFv^i#+(EN2hhR>(bH>z5?nPR!nT zX=PBmRL8!6hkyfl!rmizKc7VRZ_w>u;{!!}Ezk3(w|n;zG&7Bc&u zqhr4!ZeLsS$G87GzBGq`PH@^)gOie-PO#b$PA0WVM?UaIKzi)Gfxx-3q~EMSf^@16!)3&3CbOx|^@j~(5o9N{hJ8U9jFUva`2w7s zBTQyYvjmc<@TV#KGF7LkNf3;)5dcRw`}RMgb05+{j#sT@-r!ovrm&Z?yOAG+SN}B6 zG8pdhdes~-P)iBCjv8SG29rv1!z(gg0sy@r}E#h7l=r(G0Wnj>`T>W9oxvb_HOrGM{XRNJ@tn5I>R>80a2sk? zdf{gXkcVie$M6`nyH#t{EHj4m-Es`t_o}9(YDk@7JP##GYpBom<}~w+i02e*Oua#I zB%PgL5^tlE1Bm>dP?~kWF$JML)!H2l*C9^n#SsQGwq8-HmV6xrTFaApa-;0Hfow}S zDWNf|xrhgw84fLJkNhZyj?Z8qy8$ zOWP#ppdp{&Xn!!I3O9+7>(8!+#bj{6X()CDrr}_K>wpdOxTgikn zASpC%^Ap&DF%<;9pA$&Dg5o=2iK&t>R4nYd3Jcm;g;EJ8wkoAwpSrFZp6OKOYJ=}v zb$iVx{L(vBgL6+Ay~s<9MjDf&#*+zJ_fw+b)kAr79Q`OdJW~I6G=%@#RRcRbJ~9-4 zFiyr3onB~!lSwKuJv4kEcER%UEL2J6)&58-wqcJT@`GuFJMt2p*Wj9N@Qr!=F5`TFqPWL5UCwJC7#n=h?wMXh(7o zd*{6C0vP7e@W+YiAjO8eQ6@wVhJMat4J87HHk%@EY9KPC=vUK9T^&sl)uWlAH&Z)s zJc?Jndag~6x(LbcKF5Uqod_x4@Q+@zaw<^NIxe5maZBx1q*;uFtwRRvHia2|b##Hk z2*#j5Z#;dREMiOXmG5zKnYa|BeDhuhy6QH4^s3I+S|yL zT;(5h`fIQM>iZku7<4%W(eSGzFk9h6;2ym@cVI^dyrBwgWKbWRpzCRHa&!W7_sNHT zGLT(2$(sbtGbcOVThCsclSC>W*_%(M3lMRunJZ`UTQzjdGkl(p$KcR2=`)LXk_dl@ zX+_8xWL1y4*bO>~FqnDdS$lVoT0mMZ?9FyJ6`F|29Mjs(o%ji6H z$ZwO$daSV(z&Mev)*5jLevT=b4$`$`(r&j6Id3c-9Efg4&qvD%^3S>vZfhR|4s{s8 zrYYZ7)(Im9VV2^X*)nWba1|%6p0WFy+VW%=Vk>q@sJ*CV<#W`~s|uxm6P-V|WITsl z5+v{6j)2vlZgW9y70UhRHSR88h9u7YpX8t#s3u(WyTy7cIDl+7u(bLu9VT3|vSKbk zo~(Yb#I2=&Fy{??RLQ+IJHC$L?Ckeh?{Y;XtPRXi>Sp-Az5b)fu5czwod}YC*LNn* z#LyYt0X4_|J3@8k)JF{*`D~e%02iuyH^F03bR{^@#cJ`{`eJQDb{9Vfni7?K2*=%> zP*ts`iHYjXm(wn4PQ+X=+(1WUujEgnh2{#Qdjhkf7yU3I z5;#t~oQK6M-LU|hBWM@&GXQN{3=i?;Yo*;{JYkDjH)r7BL`3(hc@*@Hu)R}Vfe zrc|9Xoi6?q35(EzC3Hjp>1=e=#YRtbgo4YaiOIIGlLzXCZD3kC_v&=>FLKu4d+iKO z>G=RY^8-W%SubLDHnx+XYLXhF6nxFL)se_rFkLMjG6pyb+DpvmM8g$|7ZyD-aUhH= z_;J;%QdY5rs%%F;umlSA%H=v_`^5|Y(lq2}{0AIvj*d$WvYE3QKQtW52`^jkhpGf0HT1h9`n zwx}05OWu!Z`o`Kxf12j$!&s(uMOLlSc)gnCg|JJltw?J}h$+2SVoDH*yP_X@r9MEI zW%vuBg9UQ@TtuBs(vND?8Zx|*6?>F0%RAxO&X}m9;wI4{+ycS3Z{7WYsrs3)}5O~-cj5<2&W4sS!yH-*# zp|5bf@f(UazMzcTo#-na?tbA%APHVD13GL{2> zbDj&WZFmPv4vHN3+!ear&x&{vN6(V-5+W-g6WVT(Q_AK|CFhqL#g_?rU{po3e33GS z42(3ih1E0=VBxRUD@~57j;1SUlv*3~#t)AtK^M1(LGtH)ofnt7LXO(n!PeEi0=oL> z#Tr~X#6u+;@LE}5SMi(-^|N&e=4>Tm6v%S5-K^Ck<*wi`^h_(M3DibP@_a50xX{#Sa6DVXPdfP+ zH&+Y$s_f%qB$ldiny<-2ZvED%vcfr_+^o8$n;TpSOVL=dR&+{C9~JStR8L|_NbU%W z>e^_0T%s~z{gQHuPX*oF4moa_Iskl@P3M4zwn}`OXHr^}xZE<+tx>fMFebzrpib*6 zud_v*O`V7-5&Z7ztu|dZK>mviHffNsm^8kKkHd!CG>UqFKgRNu&-`=c5()SfAr@>A9|jV#54U zyU6)K{Jk;eUMofIi+FV)k@k}FY9`s86k-WjET|bvWt?J8hhU@9!yH@XcZ?Fk%{U|OIv%QLtR1HNwB;-QJzYmHU=|h$?(Viu%B3JhNn{l zErxUZ?sW1^+Gp;%<`1Zo`ytbmff`gTYdcJsX8X29;>Nw<9zVfGe&lD z8&cdzx#m$aM(i;>S8-6)1#5=;4zlssoZAq#TjvbSl4~;z$|{7d+=dUj47u(kKP+?C z-HytdU?0#^O|4y~;;wxig!}5`e8nT{N@be>a>HtcNrVuzHz8R!I|GNec0cRyH3xTt z{nCy52z(0qV6L^dIqjym#665YTGb~{cN;#;|CUa|s=4OK=)t%x4+^fMlom$hu3@ni z6GjLwnhsFg#1^!bFU?9x9&E%O1Kh!)k!~wo8emgIkOjE55SP%`6cXg~tu5q1sd>Y- z-2Nv-?TqL4hDA1<&?XM=t^O$!b7uZ?92X55OObKHT4T~HkSY^sc2lysh{d?Mekh|U zT7RvUSfnUjX=s*P;_#nlI(kqPq=Bpj`rSCw@C|$|QpiEtpC=)|U4wDmD zFca{bs6}#;EL8ay`FKs?`bh!_S}@K@LEnL`Ajwo;<|Il`F7b2;$^QL%`S$e$9pLn! zO+^DD9?jhgT<`~paZODx59e&(l^fRX$&okwC5O@=+Bq|uosLqpkT z+;1-{sU@m+s$h)kA!C@s7+KE~rR&^^`^*=pHk)K!^!;>`mp0<+otCREIem)3i6fwa zoIqBURplk6E{nvZjqI9?kpX0k4E8D+BhSLwBF4WM$`%1=WSKbm9y>!BR~?$P50e=J zv*V9H@J}vu#u2$0_2}l_;3Ud54(#M)-#e?6oznyPcqTcZXVK#*7A&`z#80|rW6A5r zjxy_ad!mk(Gz|!;)QfpisMDqJc}Ev;;tU;By>lwwXOKm`3!K-!bL&i*f{@Rq1_Hux z@F;vOaqwn&M%w(K(RQ-cn^Uq{&6BX+4CTG7)S8bm{;PC8hcKgh89&Y6Ugco>v>Axw zn*ySSV=ff~0!X!>YkR71AmiC}B$&3jANib#>#j6y1JAQB*4Z>x23ywmKYeuF&Xp0j z#txWZtkAvI&qhz86^j(bz3R3!4pR!+mfE~W9IYO%zX@d|C8W$-hIF+DgEn35fQ~lG z`HYjST(eGlTudQdQXO|PHKyRBS)yq7PzYEDZZWjHrWl zIhe#gPp4WT+*Ve-ey5t4w5>%JwyI$QXUS_%Tm3wVp=!#MP&RlvR>PXZCwXVIjShX# z7mW}%jf8ru>PT+P0l`{l^a~&;!lEucSb$SlN9zJJ=IA%jl*xn; zV;GL_EH7x8TtZ?%#F!;uXQH1e<(1k4JAwJmCmx@vX&9 z1vYl+v_*1)y#KhaCb2@|!HcSutW76}Cu;8M%i!7x110zdH7EZS$C>vm;K-w7Mc5j{ zGJMTYhbE5mwxswV@`3C5gDIyK!oEj;)B|EAm!NKolQS>Cv7M*|Uv^+Z5BM2suoVXH z<`4x6g1|P`!8^k&+Q3{D+(pGrCti*4*zFj00gv*0h(d=4+6j95e|%6k{RsWgD!bw% zZwC8_&_D2#VxRIkGJtF549z^hB(uJiiT`CV>{mxyX0n9k=ZxS;LJrW}6)CQG$ww@l z)!J-+Xu&;62%-}&;$Ug$MZlqBo-3+BnNxxwqqf^ra1?L<#oF^(h4iQsEX!=ML%m?kWjq zEM2JB@zk0@emX0bZLC5=_+o1$fsLrUI8 zRe&?5%b0yh_uXZ@@F3n)Hl5Vv8F9lJ0`7HDPxC~q2*#S{)P9D(@vZ1_WGDHn$_<`H z;T{3_oxn2Z&*559)Y>Pat;b^4->l-dzsh7oYl+=s@M^LS&Cl5%N;A3}hP7Ff-b!5c| zxfq*44G)!=7_X=5y{O~Lka82hN8@-boHo7})0+~8*PxAd%2j^#6>Txbrp~=4aHhGc z)hmeuxbpgHi)1QXH<+LTV$RZbpj%91a2@3O)M5qx!F01aLHthFXkcofVF!sch+P_E zW>74cGHQ}q&~r`?*(2-qnmz2_tkpxjxsBso*ST-%e0uuT1J(I%I%PGe&)0D_eK*V3 z995$`owH0(OPFu$I*zyh`A3~{U@)mjB*J(up*Mh@d6{2X{RpiDWZ|Uf-$LJjDsV8| znE^+cq`^8pd;IFm34s}Dx+iu-`wmfc+Hc2vS{n=UZeXtkNl$+t*A`^78}$B;KQStq@!GU2AJX%-v;wL{nQ~j8yWujJBNS#^b+0MB#{ub(WKGm->nI~7Z z`WW_Vl&NDRByyMpH3@vZcMK?io&`;fFdj>*ZE#MSJ4`}Gu`bGbrjBoT^4K~AIikH2 z4VN1$(|DeMCl^4<5)5KygGMjo8_~CiAbcH>dwN1{Arc-Na{ISQyA2b-1=*^T$XX)D zzTHa7^&*e1)u68CZqA2?oWzguC-E}Q;0$16j-2xzkAW3^tT7q!atRsKqdC1{!wbv+ zpr`z|@giL%4weZUHB$>B;Mi{*wHgcb{Y=fJ$KR-i_qXX`ld{BPR3?|{b$pqCZb34Q z%UN2)eZsm}ZyY>nGcy`9kIxhjQ z`q;3allGMGg5lEIlW7ltb=*TTvNX02_QW_GjWQ0F0R zq>FgE4gH_0)hsrN{HVEsL_id~)s*hfg!~@uhp1hVzQd-`W3v=9epT;bCxOXhKS|=N zk1q4Yx?GRao}Oztja#fNsN@QdUm_=5HFj_~DsJGv`x7J6h~G2m%$aYkHcEJrjy0x8 z-)mu}PtU)65}l>$L~ZiHTh0=G(9M_>nC7qE%G-S8=5X6;9a(j%t(t8`n3`ZLuAHvO z)KO1Q6SZsW-Cd-vR9V(A`x`8rBEAueEVZdA7lBD8D33TO7N9fX0fcODwzj{TIu5e5 z;iHBrslH>_%(#NgX6oOif?2F_ymK^&-QxM-(!_-7c2IL;O*NRz$z?RjgZ_gLH*f}| z5Nc@PP`nE_<(;{Pbe?_tp|)M3q2qb}-u-__E}@6)f9;u^%+Ss(L3IQ{T?s2UVS(?? zU}=CvII4qSk`k^PHg~|h?hfyCimD{1)2Z6$piR!(WbVK#^i%`DCz+PMq2RICrh3Om z&wK!IMUBNKI)ZuiPq0S@9B^n3_H z-GMgpeZK~cy#3KfK`WuzJV-6Dveh0iTqJOMi!i73!~|kkJqfqq646OkSqJO|<6}3a zNUd@Ud0?rIlj?*)GlEEw7l!GH()vww`M&Bg! za(17FKtjs9B*qi!{hRYrmG=8w+C3T-+a2ltZ4%qtU7K|K7f_4@Vjf_cSAb;(y2f|l zPSi@F)Gj)-vDIx_bdjp9)8ZUFo?l~3gzf1I)()|#wgscz7U={_)@~EdA2ONrxH<5T zO^Nj4@cgrA>*sxo(D)heFxF;e)auVcVVr>diM%S?VH50YcPU0nsR`mW)5~6nkyYL8 z*z?oqsrvC(*)eX%Mji8->2{2JUF{t6T>q*&DB818Cj-q5!V#Q4%BBfrFo8=dAG&|S zUh34fnr1nO^+&DJNG?mv=ITd5&%H>x4y8vM0NsJ{_R?9Wfwzi5G24FLwBb8>H3Mi$ zGGETpI6686-yzS+cp8J3xm^kATc+vxF8UUaeRL%GP8nI>;xS17y=B>gA=QYY_yS0c(1}1sdv%8QD(-x>$RQ|ReQhDdry6A>L}ebL zQ}8b|5-uR}vXQ^1P65pa(U!?_#VFccGO;y6FYQd?kU>F>0&4xrfJfhA!C2LIw)@u+t={Z`wtB@Tf>cW! zjW73_8L;?;R2bnx)J|!Bt-aJP>8Hm|#zw6HXsSxfz(lgKu5V#l;W9}ROY{@!BnHxD?B=hJ(wGUzv$sn5~?;?mDWB}E~Pe%V0 zg8wdr@Ipva!A)6hrW!FC-j0@ToreJ`aD6&ufHaSs+q_3R4y^mOcK9HzZDAV1@1FPp z>cH$G^fpx8RVMs(UZ~R;*to3CMDqrh=70G^&2oS(V^jl%Pw<_-_EGJ?r2&aT(8rXr zvP~K|S({#t5pYx`#ljZrgCJ2!$Eoz`tjM!`o=lN%SH`?D^VF@{)m zAQp-dEfuFWk^Qz4Da*_!h*4`fWy_sVww(I_x3tGZI(V?G3y--pS9O$u4?_VckAHur z>+#Qts|NT8+fID7d3%O-X5bz5I*Z%ZFa`3q;GG7a&eP=*4Pz-MZ&YWkwk@f>%&0?oc6RNQ0^0`Fz(Xb=!Kxt2B8O7l4P4uhJ55+IvDX0+&ziIKlO-Wv>i4P=dX)4$y{nUGs(NobN^hj_&a;2RoX9b)zEfeWcl zVOWYoIiaEZ^jN(ra#BT6%l1=s#8TTSr8kf;xO)1j+9W4&wRW{wt&q6LO_fx0YM!Er z1sPH1ru)}N>+qF^^t`cu!mCKqt9y6q2iSg0&nU2DOxG|{9%i=_cig$^S_cHy7Hy$Q z$e-X5%(5)ivobmO0Q*2^Dkg`9$s$UFN+;k4iBo_*m+EXIj+K%Q%Am}R0Rinqx}msv z;)_x|=AoJ~L+gYj2kfJ?Q8=|2dN)aK#L%sY9n(r7t<^H4x%x!Kvux3o6y8#2o;}?d zdlU1#IffsvCvOlw`~|GCMf90w$&S9kYQDDByw=qqACanRXRz0hq3p3O6MO8@0UKFa zPQbTh(qn8E^Hu3qsxk073LXO)_UqKSQ(f+BTdvo$G_hUUhFmM{P;Tna{x0e}3=0!;3L$6~_as10&GXOf6vn#tT)g$Gs+Q2bRAqK}LN|N&(nG zgGT>SEsr-!X4x_6@rek>)|=us-zq9W$c~-6AaZ?Yc})i z32n9ikD@POP*Y-4DU;PUhFMfw(L1H~Ts5@QGfI&#N2q--U<)!tIz+lh zNOd~8fgku33TLJp%MFGFtF^ReXypXw&@{;kk_OTsVnP8=i+Hi1>3oqmpbmOJdOX$h zz=0?_ukFUk>Wah#M{1WY3?nkUV~dlPQU$u`a=oO?5?C>Io+TIR)QSWB#?+lVA*O+h1kq*g_+08*W$JRUb6 z-nc3vCaD5)UF-nlATb|RA~SCUv(yN=R@7h^o*sFmA|tGToPIt<#bajowe!75C)KcK z(=dY3Ty-*IEoe`hO7Q@?}CF&zH zs{#E*sB9KWR-arl*9=L{sZ+l-U3;Ct5x@Ke;~eHPP26`#&{aL&reCgY3y#ovQn9>@ zO=KP;?H9bc!u2Rq7SU3)pQ;^BWBIiRKmX;%XqWKRx+g4nd3sK(f;k0ZFQVkU(&e83 zuZTx?8?UF)NiQS<9ki@9MTXA{;v3FnFC)?V)J<2FLeiwG1L!6;jF&)gXpb{XAR>i6 zB{z19Y@_`6`aGJbKF2U&e#cLga+Iw_OYnwxs;cya5czqUtbSzCl{OyBIP=~kWgD^Td@^- z=OS!Mr8@P6j+4oIsL(R-;0PtF5GRk@XM|{a&Dx-1vYB~I?JHT?K<}jCmC$WsnEVog zBjuNI6OHnWj^g%t{K=RQfL~-%CukH5G{~x<*AmtRs?9>rHyMICt4M6n27W|WraE^4 z8iEl0hhxf>eM=k9fy!i)=2IQrd)HcS|IP=S#~kS3dd{(b`cL-&gwOtkW-#o?LB}j? z$9fUh6uT#lY0q9tvn74l4xVXIn26$dA==bsKF`@kgHB%c1IgdHlwQH)jMIcuQNJnNyV}euk>ZPAlTlbpnTpHWCVep&r>{asmH=&z=7cb! zR-^oTn|%1%%mzNTPLfre&Y8n7ElDn((xz|R9l+5U>6ub{-t4oK=h78Khj9)o!>ykH zi=csXXF30@CfUy@b1zLqa)(c_!gE;NB%L9nBtX+?yqi}21o0X@l%cul$@q30(T`Mo zb!G;^g8GfB8Be6`-q)jD5^6hYS;|~`Fv47oDk0p;JlrR-+cvt~Dh-!M-{jt2A)ac_ zn{|idI*`ock41G!q}?cUB#~SmsIH1UhmmEGJvl)^p4N%i8E({(VWD{|h|KO!<3;Ul)W5yoxc=>L z)W7|W`gfr}vn-zfs{3`YQNIp0>Q{N8-`gU^&XvFF-W_h#yTjj@w|2Bqzm9%m`n8cQ za`OIc5t6=rxZd6NDy)V&kXt0`Y+hE4Z}2bfOwwt(vc%-5gG@H0p--O9!`wcnJAm@m zLQSh89$!{qDl!p>=+YN}c8xPT6u`Jup#SRs$5lL8q{g@+tRMjnK$K`_-Ept5JH# zXCHwg_{GOZJbb_SSSS=6?WADqU!~d2oUaSAYCb)qyZ3y(T#|SYAv&n3h&>yDx5H_0 ztr+$%*T8eB&dbD(U`ZW+@$nvj<;VFlO-gthVIMJFSD(uNM6Mc-NMD?zS>!Pz7$cF| z8P0WQ0)2})9F$%cefv!FVbgK(I}1lnOYl0S(NRxRhL7QvunSPT*eIQ2mII9ectQCQ zyCh+xu-}*vDFHXpD!!TLg+?_18q-pW&r|Ym;LlO4s-CA#u8D!r!V+a0W5kvd5{`^B zLeflpQiOWEUImvLFlUqhj zV}-6!uG8@9Y5Xt-K@snbsqYq7tUqImT4tblTIfLy?i##lyf)+4#}5#pwM&D%EjyuQ zUwtHDJx@cB9tO*FOSQ*HKp6s512P3vHdhJi!88}6!7VRcV9Qks#3)Fk*Ze%B`=A;5 zRMXv4^#JigJx;TMtNYCK=u|9m>vSkr*(03`UIMp^hY1IEK~sP+J=#i&ucj1^K};Oz z22VLY9_NrDIpI6m#190IFxmM)WN^pj*&2F4-4Xj;q9qc0eO%uIy24WY&b zxXr;pg|(=_e-#J`gG}aL|Bga^t(MR)KGsUikE6HiELB7Pm=Gq=zF&MSLs!n0wk%S7 zJ<-cAUdXY;Tz@KZn@c37R#j#{ge}y(Le9!wgW37z;_YnS>oaX?w)2^?nAFE6>4y2% z=j26IHf(~Fg&*Jk3q*sK&+{zEbkFRp{2<@R46HynSKuAe4NJ7%{^dtvJ0&uOqP)Jaa`g^U6M4j*e zA(ElqH;-R1zmSdlBYB1fCFq|pvDC;Te*;2gYBdK6efTH%D=0CQGEhOrj5Ab2xu~x? z(g^v9lQns#^JG*Y@Dh_ihbOgJr>|;qHuXK>`YacaWxY@a$t9flmvBJb8tgk&icHa0 z%~_)13JvQ|O%IP+vO(Vm;Q~jHr7lPJjZ)Zqf-{0`05T)i`T|$wyotPgT zqDxDSwNpYkTsy)a5e#@NuJ)gMY39z`VQiWonbzkXeT1y zu1S3^c;4S#=zahi_q%Gi2m6D1+1)#fFjCjtC_Jbkm#E077o-g6g<*?e#ubyc6!W7- zNztk;4q=WA%~%Po#g;y>WQ>c1ereOlR6*ZY$y|#3+5*!&JfZMC*%-T#Qxk|a){J9p z{YCVZx@i_m&X8FWPe9`g3`ji6d8SUhOkqIBj5J|aAM3W+V#4C)VPSJazc1v>y&f*& z$`KfTiYy_E$77iUo}eFVpRwK%ID^I$*vi$Qt8ag}i)oP1JRFiNgXt{pS6_Jn?nYwA zvod#AytrX`sBAv?#ab1!hdtfmqpoJLQZF5zBla8h58LJvwdV%g;FqMoy$PUo@krC0 zZf_FEbNT$lLsfk{7l}Vhkzdu6w|f{FE)zS_cv}Hh$W&FaOMT`$gC#a~-j?PLg8khC z%%`f|@fZ?On-k7y=Ytj={RoM6#y|zH=07eJU`QqM9o_zud}>nPkdvswBx`C+C-?!I zJ1G5v%-pLK1Rb;JchxHZQ(b+=^`ITer7(izGPPCi0Mc*{=0bUsP1GloSRfJ|c_iPX@AE{!kLDw-C& zw?pG26F~@d1KiKDp+#~5K3V34hdS6BOu?mjk`S0ww9z42f+o<$N~5Un&(*S=FSi+< z#|E9Oc#8&xGOnG!^%Q>{zk5fS%zZtVI>Ckd@{@Vhb#;iLF#C z>m1oSL3^mJ6`j*1sSe`#NEr-pP~_0fq+JzWL?`(n_wC_=ZY|Q!Lci z1rGS0h+XL4qA`C8V;jU!mFH8D;s48Z5=@7;MByBAp*N%7na)8KBUcHmN*8OHOi36B zn94)AO_azMCg%R$a1b3I9_|ezOe47c2Onw4ihu%u1j-AlJf25tGg)7u4V6rRdV@u_ zP)BJm3u?DF=XnxE6el&;J&!aWUYyH3?2&r-rVz%wIK?WhX?M6_soY`17tJHkR6AG( z9E?<(=6t?kb4JQY&o~5T@&*iTn(KGHOIw+;vJP*nzFBm1@NKoPI##n!ylx=uAyF*) z-IHW(aNxt*3!l}>O=)+D1CW>AoZ}$O4r9T{V1Pozk|&{1Ut(o-vwos{X*J^z5>cBX z?cAz`xXM|&Y|DN`Wu|IHKFUN4IuaiPD^M1CkkIXpo0nRyKJ&MjajLUNgRp+{wZmO9 z1?tVZxCD2)&{5N)i2S5S9X1Kg^SjD9;ZsKC#WkrY3*iR28Z>1rNGFFO#o>=FlwB)Q zE}7WIcqYB&mYQJ~Z~zZkuo3K#l~gnx_(Dog1DIdUdf{bAzDbi~tgoAq@YkMm{Bp-& zB)>?fl~5mphj0=Z-|fi(Qy#{;c#pGZclTgtSG%``69jKALyh&r*ZNk|?ipa{&4N_d z{yIkimDX+j^qY2$*>?5;-6WA~1>uS`Tj%RiFP|bXt;?$J!0lsKvwoOxc(+9ZT3a(R z`pa%!M}98W5bk>I8X{Xk4r%Y3_U6*j9y1}qqI2P_HfLy5@L8aGIx$HPoMGl9`6MZV zoO+bRPli^p#)STzXuVVh8KKE^aEqsxJm>W{O*ed^Z8ai-7FnjcyI>G&WyXER_Q7~; zH=0|=Iv_`xASC%}2Dy$zS~_SQkQpwNjvJb&6&*Hdr`e0RP$uL&j-aGC)u|)A8TxxA zzZLKat|}Ym81k0-PL`z^L|E-wgly2O00naP&wBJ$9jlxY^mGW=>w4$Gn~FsmMsXD#t!Xk+hs8@>c%r(M zmr1Qi?~!`=FxrCu?2$z8-*o7GUwIyVaIT>+U@{T#jj~yQ-m(+Rz1W36h+}G9z}r|% zK;z}QzL3}p+vF^2T94Z`IMex6;xP%(Z(U1(s19*-h%9{kt!oKr*oF2qetwJn_|UIy zZXLZ~s;A#v!|l0tnhBzYI>yD9Pft&U4s?}kP0t(pD8wPwWRHQyL6m3n8vu=f-a#K7 zE5!8$JYy5o|0Rbt3EzB1_Vg3TXdYiC04h?O#g=-w-@^|dUnm|kVUw@}7BGwHKFNn@ zXoQ5mwZV(1?_;hG#&0E@jj*&LQ5wf^W3ZQni%-Dt62o3xH|B4xSzGV&NC;QIA z`9~k#ol`H6jA5)pG|4|hwGcEA$)I;kg4GP@{fPgI?Lvn*P+DWe?g4#CFwNqoV=8s7 z>>#igPCOg2BCgKbEFCd?B0&C>XQnT&Q>(CBOK#w@Zq*?Qh-z2uFFOz>rj+zg!$8x)3JB4=owKXm^aVQq7jUt;AYhB>-ijE zautijqd*9>$2%JHm%=`3r#U+jHb@^Q-mWeq{7ElHWVM93E^*=OXsOj%s>#STBcQEV712}Tev)cv4W;LZO?Y>2My;|eWP}^-8J&x2o zywpdg>&)V0)TCbK@HoKyktf&-j##qY%808u^oJj{5>UQ@t_=6oY)U~ax(WTVRENGe z)0s6;;@1?ui04aXmon7tMVZj_ak#RWGkVc>b zk0$Ikd}ff9c(|kDQOGMJ95_q}bdGmMbq*uV7Bx6IJ~EZAv+;}!sbHPBbn3eZMtQA% zE;?7c&tTFMP359p6mZx~4Y)O2IcJAxNfaii?OOM~hH#$f?t(L)hfZjhu=22!W6UvT_J*@o$)Tq+rQEB#4 zTWg)Hk5Z3;CIEAvD;($`bPr#{@Wm-b?p-Qv| zHxycBujMqub?C?lCiB%6Y!E$NaNAD!%EItvYBSf=4rox_8I!>r8hN^$H^MqK{M#)- zWHuwL382%S6Swz6mb%u+&Un3=<*dhG^ytAlsZ}7PUiNgFr7`dPC7R$D&%o*IVld9) zLah|TW0cU;8cS;Fyh?#B64;y5`5X+mDz)|3kIoZqZqQ2n%;m;WmsuCJ5i zGB6+EXO9?A9Io5dhG9i}9I0tFwSx%1m8+XMK~&)yPaw*v)>fH&phBZeNbY>EjtDDN zG`Kx(^5QbuHvcqf!tp3}!KQT9n5I{R^L@LXOaUdT?yD$x<&#C6b$I%7y0da>&eD9I zc6j~`-RV8=CgM6Oge>@}O*DK#hSDRxNL--z;vn>@ER>!;5ajqY4sfG^)cdO(pdbp(uo#A%3I$rYAEtP0G zy1P~KjGu0*!G6+%G<(Q)w;ye`j=*VbuM7GRbFJCLZii$px$bRImv-QqCJT1tL=Sgv@mK6 z-aOl(h^)Q?Ef&wxRVTB{gzVz5(fjJT+7Hj4lV$TN2g>Q^c>#Vb_#M&__22zwSx)X{ z@F*h#@qt(FTR&l;&Q?h*NRqJgA!LGM8bz>$`V;~iq?>$MNxpuzzDzLqdW$xY=K@uS z2dVNHM`OrigXj&ic-AQ0uNliiDTko|tVu@H2t= zdQV+UCQ)Sz$+ZY?AeBgYw%5RWcwiNpi4Zr?1x{p-V2}6`YY`WiU|s+i;C9 zm$d-MM)BJ=<%qk=;Wn0gdrfq{z*!YIw*-ONMDdG{Xf6iEk2e!wQy#r@3dE%Z3nCCd z-Qul&XJ?O}J$wA~pR1!BY`2dm@y%m+2M(f~KJinHC=a>gv2=`KT34*)pJL^jZ5@iD zSeyT??jP+OAMNiF*y_crvuLn)Y=uf~IzgqErgkS?!O#hzH@wGM+d?H?M zx%GK+jLhL%_C_7Qq(`G(@{;+ve{J~)}_xy$ro3RS~A!CR=VM!|V?F@;uWY=w>B4&p;IU-{2KMEXNDxow_%D$E$Xm96azZ)gc#>Pe3 z!M13rljwA+uZ(GS?zM$qDC2j%td{-!GJn+YiPNGgOu!L^XEv0eeK^ss1{e{|C({nlbor8wNsdK~ zeL-}Ey&vtTX2jg>fBlbD^$y&`!g|dE$je2EgC@U_Rz7%Tf|E&sqX5AJSE0va9$x7) z6UiYkcw0J5o&X_m^kelS$|Y@0Qs5L@$rP48^P2w{5Q-T8m+a<9LHsz{Wm+GH<7I0X zIf=KU-H2(49W8)+^#=q3!u@G%tLSV)%No{hB%K*37n+?A^a5 zd)->{%K`kUf#4ItmrcK6799ZQ#5c$cP% zA$IuN@7I*0yEJ9bxwe|AJ;HsR_g@lEYL~u|tu?S2w;9j_YOS-JJ>~1O&fNctWRQ}0-;Q`3612O2Krtf2(4Lw22|2P`%LA83u z4ELO`+|~y!SUSJzj^OH%6&=?so<_l9`ln@u4iK^fSZ z!0I_VJO#wT5kpLm4$#~2SANw~x~l!w^oC9Iop;;Ukqqett4Spo3?2=Rqpf3Lklb80 zj)I0kF};q{x*}fpp8I?9XaHHFyWHLGvzj~&clYFV)bO>5)-0RrOLXc9y1y@|WaSI1 zcgBSoY0k&_Y6Vmkuhi!RM_6*;v>{6B$xbB8iBD7mqgb}N`aA}dMf`obP(=ktTKZ{$ z07^i$zkdytRu=gr0N}UB?bcPK(f1U5&zMTgPAMm|X~Cp3|(B~>-_ z)D)FtG7DBGZgPEY*b>M_unnQV{xsSVlS+VDNmw*Mv;@8bs#m^*hik;`zx|;vb0oiI z*T@tZKbf^H)h`Q14%svhDa#!%!74Qj8NPog53$k!d#S7)(E&kGZ)Wn;jB4_8wU6Vb zo&zSREon^WcvTGEnt}ZKJesI}V-Wp!`XY<0qAo02gExp^z5O!T;x$Shb(_H3duNLib_bBT7Yz<{y^x83LugoRc91KW$2DFwP$m1r z$JEAZZCa#b-UwDVRac^6fz!9p&sh$+R8!y+A$=rCXq2u>B9n3(QP)w-yc&bhNUZvy zwS~99`#nB@{~zrc&gx_?cao5HJY_@bb=A^)xE;l>oJ!-QbCH33&tjo0T6K!)!FR&2sf{1#@v&^!G{ja0O#wgmH)`4_7P}rY7)TMA(?j!?7ic%o&^iQ_mFEfUQKb z(zr}yh>}5W4&l9T*__31b8R0*pXvgzZp_U$t+HXR3QX}_pbrx#C#Np+X0}BC3uM^r z%wo)vS*BoV6kxxP;38*Cs1g@(rq{Dsp3eolqQ?1Q@+JWQ{j3`|-AKKT*Z4Z9bSYO5 zpjo4vT;y2D@FhDsnE&p^^gMgHh_5rB!I|#IOMZZoITfmR!_#tuyD*?(PrJX5V)S=wCH)%@dvMN}%6druhShY5t&zX}K~J!ifZUD%`m*t89!{dS!*U%cih^y7GV6$s(+A43=!f({yzpk2!rZ*8g$eDDTX z9O8qA{hof&W+pMjx3a@;#0vlM?Vk%kFYKn?^fu3sg|&>{1m9}t4CcO50V;2i2yhs+ z0tFMg1hL>QATuu*P3fe3a;L8Ix_-0*pPP?zu9X*1D)5X?ntvOs44COd(*$|FVM1sK zwXFa}1$BW{@av6=AXIvN7E*+4H_*ebyeLic2 zt)D#-)Zx~BGRdZC1~~#=oyz`OgUFcrc+CgNU4=nj&yf&-o^Gu~GCG7uup^~|JBYl) z0BhQ+wQ#Un5OPF!7>}Y zDq;eXV_Dm{zFw%sAeyZWx5u;Z!lM|ZI>`Qm zCCO!M(pf5uxB01+WzqPFuGj0^8nrkuaddP**+i$ zkUdE*3pIPyk)H}2z-&9@Q-U%8_nYfZ1cKR# zreJ{~C+f}x3Zd{*rItS%r<6i>o{!TU0B-1^rr(Vwm`ngn?mpy((@K2>)I;8Eg; zEGGb}nGo`ECK+6T2CUW<5xLvHi!Xjsq*r0?0oD?y8`}MH*8hM4_hSf4g|?3E3Nvkd znKT_Jba9Px=KLO>&XOyzv{&2FvwSkuo=L04%1K(|@p{1ukmd`8ZVDZB^)3E?%)MKT zB*~g4r0$+YE3E_z40s=DZ^bGpx-Ia+x{ct&_- zM0gzch|JEGQY+vASYRcP5X((SNFW44D?lSH`?L?RAXWmQMIat{L1=}v5&{jd+Jy)H zo0AHrdBZjQEMEqMT+cN^o_^jXRTo16RaOd_;F>&OaD8NN#JNAO{%G)0w(^Vcj^gZ5T_Z-DLniMF4+I#<2^Q{c<4FCAM3=9 zO!T8@Yo3#PTysxRk7|olf|-?HbZ6b9dWH(s7e~8oRNd~@=zpx$_uHEOjK)Aaq z*jgeU(LNhZXkH;r$U}HdNJckh{YnQ{=Geq%M&QG05UMnV-HC*Mx9{gfK25&;?Avc2 zeEaRUJ(;aa1Ldb`LyQI;g2;^ z^7@gWi5U6uhE$V_u^n?aEaZRSW0nyJvKl7bXvO9oAZ8Wk4sH?=eC$~NXix9PDta!} zwWFh>W39d(;QyK>15;lx(6IVebDTmZ%Dt~bAj*-ZfjD5k$sE_qWJ(f(>-4He|HA*h zSmR^t2rDY(zZy$}XP8*m6#H$}^fNgS#nz#jaz*gZYJoo*C8G=G>A3qJKWfXWnQCHQ zac|S*I!&Iy+k69C)-s0avwIu77(WAz`ax^X?UQ5Vy955NfU#m_$l$H{H9i&n0j#BY z4jXIWQZ(hl@D@SL@uUkws61Z!Iw^Y7tpYzq6U|Gb-GJDFnuzJZM-%-A!d z;R{qH6}2UPWW4-dPki^+DQcvF3(83*J1auoxp%gT8lsOL(^N~7rm7{V469f&w1QXn z;%bOx%OhqSd^-Ja9=;eH)KXCvXWjb(L$Zg-;~OsxJauxTV_c>|QR5^)7$vJ_F}w0M?eqnPOj~AK{S1;&F>J1!0O(Iu}dr<=7$>ls|;E$2*8WAk?c?qqaL0W zu*PEehu^yU{g1SZ{<+@T8!9qP8u&B}sQMgIAr#SqZH z6;VEZD|TmK5BW8F$0RAYLFn^_az|BkBNE@So5Kv&?KPO({S)&2qX2oAl1dc=0V*3+nfo{oZEx{9m|{O97J6UYnPe0NF60H{uj+Y4~@fP`&5|}i_$Z_vl4TbPF_UyEe*3HvK z4NEVcO$Mr0Y=m7sIyzdKCv-UtM_KooA)zC~jL6%~FL3ch#A{9HauH~UMiJU82BTS& zq^nS0i)sS1xuO^dWeA#ddxag3imCq;lM_vf>b3&!*M2P~%HV7r=yqG8(!rzvubPf~ zspi3Qh;*F81b2#KU~_p@ZL>Hehn#;z5YROZBsvP8r=+?_D&`b<`K{RR+E|ZXj}2KO zxhjY(^qx|9gUE<`MyCNhmgSmkscN2On`TRgE<+iklq_7@M5R`Z?tGAZDMV{d;)=vw z>7RC$7fTjMH5mfG=mC3ac-@E*uY_8NVDqsL$7NqwERO+YVfLOHF#86+CRjiJWHTWKYdwD0TbRa?626p^q(VG^Ku~ zUZRW#+JkM>T)^H9o5C!Y78Mx1`eop!_5_pjG>B2i@(e_~%+aLpJ}?;P15dNvMPF=;=+PsvG2TpYqfNI5 z$>$kz{}7_*yVE0ZD`%|p5se%??=h+4`HpQxk-}fB$wt@ppqz7rR zSY~0p7G#h}GqP=rnYoF#;tsS-WQH|XQtjsUq|5DU;v3y5JjY?R9V29OMUqG<7ynMc zcF)8j$Mf`Xy)AL;rk*P!1W=-#PaoMEV^Lp2ODO7i|Mh^M7%c$PRJDag_MLk5hocKp z7S9idC+kIT5bO(q9E9VQ6mX|OGWszUJG#lX#OTbzpK*h+U4T*R!HxdokK>$^wQ7uj zPhh8shXEJg@U~RNs?^Dq>Bo~hH9pui#%t;j4F1y8eV1UMRdZdnzfMkVHn@s#3dDLE z9^JF6;nCiGjqdwcqkW!>%=|_SgCYad#GTY#+k2U8H=NMy@Cem*GJ#`-YdSzVV-8;CY#J9C10mXrxg@?M%Eu8G^Zo# z2#OCV>P&9GKqQs)r|sTT|McHy4K~xHS0JI#SoEj6V1bPj^Yk)FdlGlqAz^J3=lmsm>aFH; z#YHRZI-;$7B>C#yv~2gtWd|fNX4<3aZP|8%Z)<18 zPfLP3IxwBbZX1(a7af(N%So^DWwI*LIpw^$(sf&)>C74`=5xf_QA^uF{sFGWyd)sPGuVa{+w zMbmd*NYnBB!}~E@Fo@E9ImEWyW@O?F6su?9hNudk^kA!72pWaZ zZBn(t^p9SdVT~ioV<+5nqb0N(($@^0@sALH@5BcG3~xb)RPe|D=y|0P!(K$>goDCC zmReIia;C}`OznB z3~3(Qp-ytw`XH3)cPU0QX`)S1K`H T}ZK2rOeSkzkAUyf53MvIt=Bgt!PtRi)^l zjlr7DN#$WkGTW)OH{p}NOx=cJDp-WrpY;mmny~2!eiM>70o%MG;yf+37)eUxlG=tK z*$qE1NUP2U2g8o@s!TJ4P+sSYMH)aHDm@72f7}$#IN%MP5-k{JT!}|P6>0u>f{qbX zfS)~BPi2vm+c8b)1=cn$=|87s_B|X9({wQ_Y8-BMZF%qsI#Vj}g6Y>PrfTs+B-5eN zX>(D7bWk{6WJfqnkP!JWIZyhh1cpcsxbWHomFO>xtwjF=I7m43MFHcs%$n$39}qoy zo5G>cK1KLVx&Od2x6}BlRaB0ON#aKuULJ61yrkD*OgnF728H9^N7#dT>@l^8UxDpW zQjcuV(H=uyh%c@fq(z`hqXHmPB$SDF=QYL?2ddh^eX`SdH;-^JXu*_r)IK-5xXI{* z*2Bp@^e4L{!E7%}%mG$lD<;=D*2Go4P+j|TO_yR2+6?*nMw3|GunKMO1-#ri3`t%y z$H&4If*aRCLoE`2<(Li8p1?7}la7at{3WeL?#js8`8H2aE-p^-tN&}XbTkAcs-b97 z#W(qKN$P`$6KR5=_)c&u{DT^7!a#EAL?r3aCLZhqHo|`DtqqTklBFkyyGgGQOi5K5-7psFI~Z~%iH9!oT{;?Dk&dCB5xWlKBS@G`E%tD$MF6{;UswU zna*iHRYcpLjfM}7NXcL*Hz)Lq%YKD%4PKHh6E`|C<9y$-ot!-wJ@Upzzo@a@{TqzB z#nmKnl>>)?_1UDJlc)dVWS>RO}m0*jBDOzvz-k9yL{{yQv z3--Mki#tJ~pG8i#C)&q+6@q*3KcHYUpa~d$@Cg{+djf{Po(UL6C*W@J@oqwdAlYcC z4{D?cPoKZwqWpG2x5?$Akt_eHP>MA&gK9t708HwIvhEY;U*{=9ZPwXr0B*BOlWnM2 zzXAthB7xfXVO7}aGPbF%6Y-4ANz^3QaaQ6Wy02ca&yR!zs|vT~1yNM>o;{IVUS|G) z1Pwd67_#Yh;xb^cvuw61uv5!5t;?LE*IlRK?$3WP$y$?cgM+pstf;XPy$gs4)>iBqOMCNKMs(HGgcIWgVaN@+1@Q=WM=%{DbB1fsW7xpWC{ zNAN#LcF)i94y;zVo~NSK+7AtTJ3MKkZr~@^$tGzw^JS>!OleNN%roM#=}(pePb5oz z*T6tL&vUlLTfnQiVRV`-4Hpyla5eLLxT*JmgiwTLY9Wjgw9}QKmBx9wnOo9iFZ(7% z+n4@~(hY4h0>;E6a0-tuybVYWZC8Pnwkio@BZtsLTuDNAx0)}Q#k)!lP|-A9Stsk& z7cb0dv9Kvww{qzwzQ-~hB>iYl_#xc=2CD$j8DGO)u97dybcMTIy+FYDKNlB|lE)QZ zgZ_Ng_EcUt5}g$lE4LE^>U!sjeVF>1&*(&((RMvYG$Gil)4($qxVX` zE*i=Ig{_;yS@~u1i?DJQexh^Ym$G3a$tx+)9T3Iqk0fG2z*!19C}5k=v4zH_AGE5r zH|c5x_8hpqhezJ?jOx#$HTT>DVYI}y&cSOFKbM)2+W6@-7emN5y{L+#H?4lvL&?_4 z%3#7VCBwYU6WCx6M+XUBr3Oh7onQH|3nj1UrE}q&p5d`+i1bu~)(FK46a*bS*p#!$ z9DJ9a7ZBn%G$5}LD+8(CqL81}z)tG3XInI53rNFVhx@Dx!_IFTe}^1>i)3_otS9O; zGEtZLCA=0H3`Q6XOGGdm^sK9gDZC!~*|D5(F#@KNzl(UVky~wT^ z^CE2~Ob?qIWNo~L*V#$tHsZ)+2=o-&5J;o}PE`EBS_LNlX+T_Xa`A^VY^1DVAS& z1=zA4@=DFW-MGt4FGg%}a zG6ucmQmvmIA+TjMg#Sy%@4xnOM|6>woM#VXlpRmO67gYV7ykdXtnQ4>LPQO&}h!Q?ycm)OQ<7r}w(BZ}4g>eH#s%hBa$S^X) zwGVR3ATh=-6C@snNhI@t7PV!ak1*F|!b>Wv4sQscj zjKBoNKqSB8DJ^+4L-ui4Y(w8U#!vU6m%I7RZRy;Y8?P&{QlFH`h& z*z+{=oK1VIWVc*1fH^CXoOU~z)3!}2Z~C3M*-EhX0=?8f$DEKt=?`<4ttu=eBaeLJ z1sR=}=v)D#36NLjUO3JIrhfQ}xK^KQ#fVXnn~(ASY&@&N`neO_w@CG=C?mj;+K6I_ z#Z|VsDatEd+oon~bKQ%K$2hM2WOI!SrI(4VfqnZk>(&}Z6H+u1d+F=v!JorZRo&lr z7Z2PSdooP=Czjp~%iE_27o7MCgqE7Z5F?O)k1CsYNs+*O*`*q$zDU!f=hU0|q=FtB zd4Ly{6AB!?Li>rSg`(of!F=C+{t4U2lV;NQl&sY4B2B(p`OFPnpj+@}CI#}k!<$-{ zSaw=7hNwy7^I2~?%)Fc%@NF+%6vKyCh`nVxo0gPn@=~o=_5H6rmgH&v4%$4#hE_#x z96OKh)tYup7K?;ew!qN4(7KR2$Hv?r)dmfnMY@jkU=0HDvD~F~MxPzs&^z$CHdHr; z4z5#E5q4$GsEh;>x_ULH39^Iaz2i$;8(AZs|2nFF@W3{RUJIVDpd;}y84 zqLfJ(h~l81TjxE#95?p=hTyhku4J)lC9TT>W@U0aS#W1<;udK8tG7zkZu)2wqSr+=w3Kd=w2sIBSrQ6 zCQkF*Fzma3oHs`zRH$TmITyJD;!3y+$nM_Cse4q_~B)dLwbhF2|_RQBCO zK~s3FA$&~_Je@AFP<$hS`2M7#@!$P<=1VEKxVj~BW0L|lR9xou9B`1Jp=S9?YwL46 z(Xv)#r?3r*8o72Pv5e7F=Fk-dRW`=X*?1>*lxC}FY#%R>x=A#5NDN1eksVFjd=|zF zYLPK(VVjrfyu_v~Omlr$!jZGl(Gk}fzUf9$mLkq3fioIhxK+KN?XuXGhe$-f@m3_= z73CtN<}B=R0pBDnv&Z-=Rmwvj@~=S$i5-SG)XLZ`_QC5E-?sA$m^zLNa#G=hw^Ywm z@jBU%UL5m#GFw(;Q2sXP4^aBRaChP86TQqS`7zQjQLPiP71r}M|aY}x3N!2%j&0}D6I$B8(_7x!!Dm zh=e(OoeDt#Q7blmO{jQ<5_burDawo-<`;AV;U6qrneEl~)nq?WGl6~{mcNZh#`9TI zDTACw0u(gADc+Taew$BrX&uuiBxBZpnE222+I3^Du@En4N`;Rp4@9B?;q$a+j-q!Y zeg5M^e;#JjHIsP?5z4ljQZoF4hWdGlQO#%20v_tgYsz+Sm>0s`qx720zD)ZNHq$;& z*gFn(lCE>G%WUVEqCJAsM^O3Z@1H+=jeSS@W0hIz@euE9@0OceL?TA?yDj|FCIM^` z7!G#vqxhJab90le%e5W#?o0mN3+7Hp8sn|R zv7DBkhcKqiQYfyrg>(i^lX?35zE@_txYD)(}Uz! z;CYq3xag#j3Uo`v1fF6%369f~E!(1;k|jpK;dJ55{Iks*m&dUUo=`%&W^`B*9xKsm z=!6nPE(UgXD5U3A-7bY-RL&d=J2^_0jlRCQ7}3CY|N6(>$|F4NDP2z1&d=b3k5E3m zcL_wWRz9%CblcP6wItQm^pGE}Ug3j2{;^i<;&#f z@c&?S4nJ|euY(_cw@eO-8kiveyjS&=PiI36b3 zbvRBAr5`eaO}HRSZ_w?-eVl{&pFB_V@3#vi%^i+pupIjalZC%(l;#2ZBDEPZRX<=J zz=YmL$)^cDbFafmVnO3I(jqJzxc`H_*?{4bygbW^Hm z)o5@>Q%0Ycs3h_=sedPrjV=4MSV^K~r`r+Z7(9>?CmjXmtkIwT@-@@W2BP5pZX-eo zZ}D=s*ObK=9tR!-OwmPhHaa;yQJA)*QGi^<9l1M1KA9)QTl-Y$SPKqWHeZf!d%^nN zZ}%P~Kjvzm&%hHxi*$;lLsjzI3H=L0zzadDqSA$<$TkAx{A>HrssmET5;Grfh>b>4 z2Yp2)GGI|Ef0(QE`WD6qk7^Vsu2U9$r@or39CMM_O)RV|O6-pPgmle=dcb#+H1&48 zst(nC^^>QMANv<+7-qfUyZ_^pjzqvhRka5dFh(+J;5s4BPgfHqS{O2Psl>U8!US;% z9L}NBM3HSvu|%^UgYOZA`*6<^YG_p>Hjt4z#^3iH>F{Xpkw(T99Y134j>J3DluGs? zh9B%9hI>E6u{?xV3fB9Tl+0oz4-6%OuU2-vqYpOT(FdCJk^HL5?(A@nKiF`O_a1I+ zU`QLY`)eYEiQM$ zj9W0TaGY(J5bTj*nMcAL#%139e{I!55k@l~T~GDSShC#BM>W)B&Q-s45E*p4pygMF zzRV^ZxnCPPXb=3}tInu9H|SeiR*A8cWFu*N&x8CL?UT|lc^)QTnNm{vp=X6JtHLi_ zso*r;;HzOe{9B*bF2TzkYufSQ$lU<`jKo2N?K>(%1HDr$I091>4mLu3TgLE9%f^~I zsqY1BDZjdgFR{m1Ez)TCB3qUD6&T*~w-#Wz(QTA+3@0b4XYd=YNP0mPNjQV1s^LYb z1$#nVi%9#YrV@U|nx+Hz3l}x9fjn~65&Sc5euIx|2r*A}D*%VJMISVtD~ci)Ob2CB z)y2~qMy$CHivaWNJO}+EBv`JIfo&fP&Beon(Oc7fv0zq7_2R+VBVszC|8NRGy-$aq z4TlfTFMO^u{>c)GaUr)tkRiK)!>^f=WOfJl1ed+#=p+NoY$(3CY{19iZ7nl)_m@5j ztJid!Vbxk#*+!Y3fYigdcdvF9j&bqCc1iw?V@qR)qOZk#OkJ7g?7UA=nUZR~XGNK7 z;lAZ$@lvu~g=2D^S3mZ@e(WmI-$v+G3_N{DqOv`&I8LjpjG2NurWP>=uqke0KE7CP zBby(#?HAYiv@NTM2}IZqk+wG@2Os|B0Mph8@+Kvnz$d=M;4>28-fK$+eV#}!w>&6ai%~bhK zAuKA0>o3N1pp8GOOQJisU9!TGBgXdN(Wr2$Qlh2X8N6T;cVcQ^R#8;B5oH)s^24tO ztP6z4ayGDIUq`Botu71_MH_V{Q-8*|Xs;PBNZi729L+$r=8b~4|LobrmoFbm+UPGv zgy(B968Pbgc{a#iBpv#i1n=w5AGfQ|*RlM8xURf4BS2qL~g4IrOSb~?ke@QB21oal5-E-@3QS%lJ+7R_V%l+i`n}f^oVrb)a1rA?pw6& zt){&zLr)WdmZ%J&(Rg%f;b`YzT^LJ_p&#sY?wRf4?*ER~XTnEj$Y8umOqaeAk1yr4 zlAKI_0cdMWZDptrb_+j^_^5meB%BRZ{7f zTka~b{1A1O!G7n^l8@=5-Lh_>DV?<0&9JYi+`#_3!U{X$waG3?qFV9p_bMk6;2+el_B^Dc3<(so*sTE2u{A|Dpwp`9M0mJ& zH+X=l=80TOC>nk^Tpc_xozCFsmc=PPBW=VeQt^uyi06P)lAv+numzsT_iI$53WssC z!Hss&J#U8~HZ7emgwxTY$YMN{C2`UbHy{Q+W@rK9FKhcD^Fr6VZ=G~k-|7e-!GAF}+tXq> zrjLP%hDE;}A46TA5K=r?z*|_Zq_AOlO418Qp5Fmu zcb5Jap3m`+y#X3iN3&nw*5?io|L8jd|E^O;Mr(;`-CBx@VIx8J1UYUHUdGo`RT{BJ z+$&+tQh+zw6mRIJVzXULbBu>Gm{lZXwNMW3joSr9DYuoXc=TF42;dB47l9W?2N+m6 zObP|oc!^2S8SE~|Gd<{8&migJ1~c#iNuHbF_lJ(F5nDC(Tjiy_8)(UnkFbs!7R(Vv z=p$EvoeX~-j(Qv|W01{i;X=gxM>Xs~jQU=O}<`PTU}*J@NT zbt}v@Ml_vbI!?HD53HiW_eMz!qZ2gN8JJrFYG@I5vVKUY@MPjb4n}$pZ6?E4B5lW6 z$~^(6daMbzv_(b&Chy>EAbn~SZ?dd-joM6pbt~==Oc@e$6XoMpMY&4NN!z-jr4~pz zH2{b(({jejO~(iPS};#~mh?%~X~2KtwCP{`Ly4$0S0er?g}gzl=O2m zR!%R$Rx?frf@7H0;O9Z@^RB955@%n=hdacF<*3G zy?B){f6DKYA9;PlpWv)RWQEyPtL>PvjhX(Vn)in7^EBxn4_r+ARN{4h8)khSOHk1E z<&Afj-w7ko4^az~T&7qO6g)O;$xq?O5BAs|4ZGKGhvCyH!2|M#F3(jTzW7biM`&)N z<4{!Nkz`yj65Vk+p_0l#NAHiqQsP_e^M}bqZx$M!!iy&S%SLeCH(ta@we@KE%8JbI zt{eA35~e`{MFcP>GSP9|#McV0GJ_ZtxiJ_mJ#8aj@TGXH96QLv4v>s_`l9qs!JQ8h zm8hqxfeF`cw;O4)e96O7o9@+@`B*Wkur}Dx6JFMF@<;3SBrG$>>r8)|!07k_@{B ztH#n#>zQ0?Gtuyb@HvT&KoAmBgr`WGFbAV*yP59tJ3>CGo5FIA#H}omm+XgPl!u`- z>7YxQtL)Xm67|w-Ve(Rupb6m|d7*c|Piw)iFe8wURFiX*hq2}+p6aD?(z=QTGp@j$ zoU(JS`#CAwn#2y`=o(?}^hYyx6};XVFvhe)JxR>XQA%Q;#*pl}sWBpg-ls92H+Qom zoUOeIdEW+EQN<$e_*NPxvq6EkTP#0GF2AVlYh{=_f{Y~o@SdqKY#$z~qgaNM*9SgVcbtbup@tjJr zjiFH!Nxe~j`nAN}d7;P}Kc2cH98Cjw|wP5Rr56*N;5;D7y`qQ z6ItebB4wb_DPLsYrIeMQ!O8(gV|7(rC;jbJ$y{3JUKHq+b&C9=-P@9ewaIz4tT?KlnV2-g}-#A9kMZ{&Gj%Op`HJv=Gg1NdT?f ziz`AW|JtY$EQDVURK%Uig-B3D+X@4Acr#E5k2BGPJc~*~QUK7aH)eKIguC|7Fp@ky zKTAG^oA|$n(9+4HK}QM-JC8T%ZRbhcn~UNPU=nvJYqn0~@FYHu7iS;P!)cq*uB;aU zqrbeVc6jnWJQ$7ad_&6q4KL14TNrij{@;%{mU>NTg0Er~WAMk6BvUc_MVeQXXv`{6 z0tHujAuP8Vzi#5Q*8B*7m900gv(+l)NWkO8dY+o%um~Rmw_!1QOBZcg<}0%TO9>}e za(NX*E27e#HbQ%>!tZ1|6)Sc@el9c#?stZSZjhmxKyOu6UgsY9?Jj~<+RF@;@@uJt z#(&4wt4ttDTBVgGA?KMq*g@n+B;_@e+mnfEtVVkWZ-f%3=O&_n%DzRpujsGkaQj1!j&h}RV4<6bZqv8FS+aTbXbotiSVs2&dw0`_+KRB`q@954mfI|rEpjt=HgXEq z|ai~BLEY2(Ef0aOi(`+_-mey6#PeUwe#N2sGjXmgmdox23OS(nQ}X3CJn9RW?uFM(Q(1Z610&@rjAxTiDizd? zjz&j#{ceJYCl@?V7$WCDByrFQeHWx>376XQBe&UkdNmECDE}CR zZ#U{xjiB_NlaATpgHloKhiRV78!A4o+(1Z zOJT2&idVXgvt!AdeSd0RB7;30gkj@=r8gy%7GBxTwQdP{ZKDw;Ufr0&PGc^ija%0| zImP}Qvu^(fJm>*+dSahsM(NY3;nfvtG>IHiz1yZzSPbL(+e(iWn^b?blXIe9z0b%Sn~M1~SF`@bb_s9hS$3T* ziZ$)+UxL;3ooo*J1%zh^tmP%Xr((6pr1swSl=Lz6LP;>hxgTLvSD4Wj$dZ>%_{|?P zx3u}GB&f6L^SHL8)l0DRc=7{Vo^uJd0+{dRh9F?n!DztLcEO*hBb>|O!O_uCvOuqe zfYg=iex$p%#xCBpq;k~ib~#4$?eA_!N5@Cz;Vy~e11;H=JR`rn$4DLk;|{L?|AGEt$Fw+j^?Q z%jAATy20&WrDUv{eGh_cvCI&J1+ToEq~>UrP>r1H`S&h)#_Nw0eS;eBAO2AOQ?P+1`70dIAe_uldC)m-+kldb)3~`Q>|ddiVB|dlkf^8UR)v+VkBOzYDxY?l5ww zO35n5RdTr~%6yt8wvOoil!(pzm|^TH$Jkem*ml)P(Bj^O^ZP0jn^PdNhc%pbzUoj| zF0YFW3|p#ImsFMV9x-f^vWZ8QGR1r_sFu%G`Q@!yE&j7O4dX7w^8`+I1@s1dDnl0_ z5yhtLRYt$O4t}ZE+=q60q~N|&mBl~AAVk=U;3KenOCHTqgJ8-IWjVhx>8)0*an(te zE$!7;e>`}W&GPizpIg+vB;yM!y>tQQSOqs-WW(kLeH z(eMuO1?I*OnJjlOG!Zcql0*cBERnoeh*$pcAIIgvTB*DmYNk{qS&PK_i{vQ;vlZNO`C;-4-QO>NVfCpwqFMd2rz#lDJ)^VXIfrWRq@IG#^ zOJvZTPHkY90@`)t>w11$@ovx4$)M`eZ7s`u0{)zt>vn+qWyxW5`)y)gIhia9Fp6Pr zGDj>BYfr&E8rJ75pQZ4LY`#zWpMUYaAP%?X*lsZNk7QgRD%cK20Ni0sfQekt@Q5y;LhQ5{bsgX0mfruJCk-#& z)%1-{&yp*XyIUOZ8p-iKBUxs%R7Uc0*GNv1r5VL+z2y%vX0p&C;cN)}pEZ08m0obz zZzpNLxw`-O=;%oGU0Zv4*;)KLaq_?ZX}A_p5Dj1bp;-j(rJo)lXl_VO*8KYxxg)zY zUz(*^A#sP>m(7<(zOyX{XYOu1!)yr0ZfvrlE(}lS{St#l*}?TlLL0se3V6tEtt&IYQ)%7+YuziN0JD1#xsa*zt_Hzr zlEzU>NX2H2CYV<~bd2@nABWy^uS-G^krLs+<=i)EzL39#6XB;nYBLb3g%MA4dJXNN zqvcBJPtJC|y!cCte`7iy^V2ua9J$F&mR)%eB>W*@_u0u#ZMA1c@IUbXkLt2g9=u7t zcAC91%S>{V4ZX(tHq0ehW;7)IIPM8YcQU%@4ff-(X6oESujns@UU(AfMNc!AWr)-~ z?W!#|Y3wg*RZov&RZp$5uADLmJV^19Zwj>!=xRz-NX)Z%mSC5HnCi7XywnPbI)wh? zoYmhPzBqjArTC9c^}PU`I_fAA4>Xl%nbJk6O$<^TjRlWoIx!03bVuge!eQMtfL<$SZl7|u@ z$hX__3Ob~6YcC}2vD?yNV~-M!vr*%`XDstWR?x6izS}Xz6qd|`Dz1v^o~}rixQi-9}5(eadtzDZ#lt{^TvMhI_{Iec*amuQ$w@4`{lT5}Gz*3t*UJFOI8`a9mT*$u;4~`_k)+n& zDI1gdqw^scnTN^6z>8nu&t@EW)Lb}<+kwsI(CZ?a9C%|J;z=2d; zciZuQXHHNhJ55<}cNC|ZcBnGZ=6!XoSC=8Q%V2IMy54G(lHKu}o;^vyk;p0c-h_QmOXS-gV_Th2-VEQpeww z(O7NZAr6xY46P+&D_d)XcXC`Pim-RvMUBeLqpMQ@SwN=0)_9d|tlR-b=GkobBM^^a zpii97cx3RP*a33N6SiCzTyY8n|JKoTM|nH#|M08U7#%&n-2#r-^{6&1NqYVvjw=w3 zXl_dLz2G~#2h|pheV44{KUMQlmAq2TUDfKpu>$+1)k_WeQoeRI8O^0+ct+Z)NBcUN zzPO09vWWO&YqE0Ybm(UM2lyrD=l zNNWVG*50y36cL@RJZDS6i?B7|#uehkRJz4?UHvcE2as7l3@neZFD#Vy3S_PPY4*L_ zS37*##mG z@oguvB(dm(7=__HL*LAtZ}@L>0%*lpk9ep-D>i=C!CU$hpM+ro4Vw8Kn78fZ>Na_n zmAI2NAa)wE-C$SU6y=p$_=`+fIOH#Ee2mK?ola7cY^ZnI>3mGbCc7`nd2qs)E@Euy zIz#zzf)Dd87=>M-9au-M*;Nq{F0YcgVvDIZ+i70VPZ&Ej=D&Typl#SA5{jReYVC!} zw6LG_q^lHO>us$!`4u~4*oEOKiayVNeZs3QP&Bi0L0tI(dboC;X$ z(KuN`WWKlbe7v-KUKIL1Q zTD-hnOtXF3dyY3WwKl(9P4TJsY48iVr>V^aP5q`Or`Ou(3v*Lbt81*B-0Q(#(;bcN z!56kE_ImKwd`nY{Wj+?d{XO6K*L>s8=*Gs@(aHwnc)vOL+TPXFZUxQ^`0zA@eOi7) z_sP&3+NN6Qh5ZuuX&&p_^+(*)!|k5U-Zr<@d`!ffRL-<%(PvKmaV;o)YY8w`EMFsu zB%!@%BTyM{^M#UY)nV&KxmCPpLbB~GVdMrS4_G~h%ALhLtr z2KF9eus4HEkSS;Yc1EUzBMdxF8@R z=~p;+Wa(8}`uE#*WC;!dW8v6FL4yloU~i;4MGS{|wnDh*@WM>=ACUh}1_cZDIVOOA zJjFZ=-2OT(uPBOn(vdUEuvs+4HoeRu%<&vLnyM1Q2<20qH3dfe*l`z>Ta=729&`{P z37DV+ZE^Zwcswv!2amAH=Qh|G_uEZ=1*5#q7BnRVx!i3NQV}L^YINuuII!%`e*`Ba z!eUj%2y=acD4Wr@6ET_brugP|ipjL6uv8Ff_Bn-*26aBG2K2>7STCJGNqfYq3zd~m zUsV%n5fZCM48i#A55P4SF_ZVEm}^`f76

        UCmJ+k^zP!gtmU_`TO>)W{(hnVh|; zIG*5(PNQQm;X1f%5wKE$yw zDo2O-dsD(0>XPcCqeqGPbr4Pe&$2>rzKG8+d<#pv*RHaXMc&3VtQCdlHM6?u`zP?m z^D>?D_z#k2+i{v77!l;hWjaoNyv&K9PKKtk_pn4O?S7|$vrTK*WAY_re_MTxjhHUs z#|2ph)!G!n8=>a#vHeO6n<4KtUEgy#{RRfdf-%;w zw)wz@lSE#E$O87>N z9baYHT1?jtIXza@4U5dZ^du2z(C5OXyy)%Fa>Hubl5}j)M$Cx@#ZjIOlm4RzBjyaA z8}VqvaA3n~u8d6_fQ>f)F>(}U(1IxN+R^ZDjwK$@*V0=uKZxTn5AWI3~8;rWT7yde6w)4 zNYkm2dT^UOxs4Qx$8#ZF&9>-b@!cVH1eg)4YT-fxO)4U^@Ka<7V(9I{(xjsUrP2A= z42JU+TcG-<8g@%wAi;)u$YZW>TxsY{B}WrYl1!w_3TP8k@SJBaiPA3d=LWEp#DtRlLc? zN>C9HM)v-O;GRs8>9*F>n;ES>|r_6uyk$(>OyYB9@KyUjB7--T6jYmLez;-(ZVp+0Pee>tWy6yH} zw#nzj-wD(FaND+?^R(R6-Q8dNL`eD^q)lOZe5D}DXIuRVDnQH2BANESM0T9Cz23Q5 z*I;rx!J2TEE0@%vE~T2a#!qM23LzUPw4`E~ZT%RMD9t70=3) zvil8$Z$4!DVh=;#+@TSZxNo2K{{6bWh1+IHnIppVejV#-4yro9wkiSBrn-=Z=+Tyu zno2buD)gA)O1$4_n(lAw6TY9ztVk}Ai?=DnU@-ogOa3|DK>SW*1L2Xyu06? zjPAgHkuKL%vGlrFY;xL!hx|EjF*N2*yQ$#LS0>8=U#oyPIAxJjZ|d=r+YNbFhcc z(tFO|=#f)thEbgM9NwJgq8VxC5sc`>z_m&)xi!$pTWitC3w$)Vr`p`EL<_sOU0tn; zn-#gT+ZDqN#d*b2qa9;3{6ZgmkYgmb-ZjR%(LE>=DIR;)K@w3TQ(whUskrxAO}Ge; zqQJ0C#Eaq8#*BJw0)W2*E&}vVblP7Rw^&A{41*`;GBX+zOF}PTd=T>+ls4cyKyL@hLMQ8Cm)CM zyMeMpn!LS*4Q5qT>9*Wfe5@@qul8Y@R|Izpwn4j**n21{WG@b$d%3N$?b7?a6h<>B z(BO-~F=O39uNO5kxoo2OX^hGv7czOlE)^x_8#Qrzwe3> zt=lVRHn9xgy0pG=kd|)Yv~%-sd^9S|m(Lz+C~a@XQ!uyEg~k`Fwqv=@eyb-BhS2XN zp0~)fC#{@VMO^dC(SxC(#a=8he%Xx+z)P~H8q8a5QfDF(O(klt3J%_-sMp&Pwo-AP z6v5i&68?jVTLm^&;dnu~G3!ym>Bv&l`;Hyt3uGbhBS8DgDq^A%KD=?e@N zt3wP+nEWPljmbp$gyJ+x8&N9Y@x@g17ZmK%dhit;gRn_03sV%0;U+h1B;4D8li4Fa z6f70J#e0zxb392-OaYW1$FXD}e%~sbWJeq^yqR6U)XKNuzOzmAoV4V;5Ha(wGH zjKhet7LLWlfG`EKTxu;x(GtMuh6w7atIVub>O-`&X|**{-P&rxYF^y9N$2^7yKqOE zB;jY(n-t&Y$>thoJH=tFVDVpb6)pTK2$&n?G%vt@TqI^Wl#S3AHBdMMsR^pk^gf(Q zKLac@tOdYAb2D~CVgE3@pgo%V*ykSW-9VBC@+|ps8|GjVGC8M27For%9{_$q=BM@=ek7Ms2(^Jp_c*jygyxlpmRUy zcx#Gz4)mFsJU_xj&2 z*nH1_RDBK_slJ@zpDa!$DK%JYUVzalT0vHGI%hl2*<)l1s2j zWFM@yRZU{qlg&8$;2j^G#XH7>2jvldV0%=e3Gzqu(%kq=u$kJ#Qv;vMxST6Eg=m3D z(%Ho7*%-wdYP&2BlhX%hI?fOO`~hB7BAHXWqzTVTP1q!ui4UM*BFZ9l*ouA+QB@Hn zwy@)?>1y2l9@D2}h=a`PH9uf*Y&hPrLh3`VLBdP%Wjx6i@cHcCm;<`sbc+0Mh&!S; zWC77qip#AkU%~chowYV1T#mMGC)Tq5@~2NE-2gYxpGoEw?o;sba zJjW#RE18Iw1zG`!is|Jk{^1Qj2K_xtzUEPz&6~LHRr;?Uh< zmlijBU{32D#Ytp`<>Gc^u6WJ>jNqpfEcj|3?PG`XrPJYd!3CB;oW!x(@*+J{He8=0 zXAHU@s8gNc;L`;Ltvq6$kkj;Esq_9!Ya$VTk#4VPK1-nTXYlSDG){C=1E^x8pgv76zyiNRKDWISe6&`N=I z^=cd6I(|Z5Ny4m~j4kR6C%spWg&9f}5AS5cu;Vh67|?){9dt#**=12Gf{-0#yT9zR zFx%6RdfkPbB=sdIEAKrDy~k;Fm3gJ!^2&FbDZAcuv9d57m^TjQ*%zz2jlbjP{8pbA zCFh}fPx*(Z#OQ<B*fH*Q*gAfeX357XsUuAW>ulGO^78MnYoh&L#FtpD zO84LVM2>9Dzh-AVoy_y>+VwFn$~vd!N=t7j-?cX!Zst~bgEb$)Kc^{XzmU8j&)=f% zO)BEqv*hJ+nfx67Ukx690$%qunrlNbxMPHhm5(kdRqQ9@Hly?fssf7Og#q`yM>Cbt3Vb5BiJfbTMv;s zutrU&j^-NUpcb5|#Xe|e46VPq18h1I*Tewsc0%+^cYlt)&zU+=Ljsx@_YA@QigGt` zYCBD;W4-T1xoJ4TJu)I{O*^4aN8^c(X>p6XB(xonC1x_=J9sw_DYxagY5Lzhd;#Bp zRC{~GG>RpMLdLaD%X#1)5Sjh-yj<-DJ`bA3oV)U}Re6Q}j!Z zhZd%Y-IdvxLM6L9G*?Q*rJ+aZZ;~$Imj2N14ELm}%frcq?OnlamKkdS!W(!r2xID(bNY+yF><8BGhld`CAJ%GuJj{5L)Xc2+9-ou(c`3igiS&7(v3+v(M zY6E1(F3;emd?*=(mcHt@?*0yQS_GB~#q0E`FTIHXnnhaelptPg$Fc9nmeJq^@jxGU z)r!?3mZGKz48=8T>SauJwuAP^eJi?32VBBcz~&STRRO~pjD?48j!}9n5Uu!2HA3Z4 zbY0~q%*`{X^5!lNK)uCVqDs|$+T!8H8(S1EsnVq_j-y{nEpYI@yb2IK$?C}Mw)t~Q zBJJGV6@IJP^h0!}_(fV6NBk0(o}COhQE^=agEAM$W01sJlzGI2c(uHE@6(>);f7l- z^Y2`ccX)~i`Qh0yoyFtb6oihdc_rstQ;jNa(sLv$2OIXB2QUF65LtmeQs9v1%|A?S zce<9Zt=lyMAYrP}Fq*V<>$88$v-!4<7?L+6qO@WIe*yo%kHEKk0-88@=EEbwDDmin z;8=7-4TNm11dyh*&t#anH?BFbN7!tZXDGoip>;twv`kF>L~CO#mtmRAwV5|G{#Osv z9>ZR?D@(r*tL#7TCc^i4vq)E%Wu3!$hry4o-=IP`m&Kag11w`-28en~4jo+O!tk}P zKMVuej_eSd`fwM}5xrOA%k&+*testimnHqDCT@F-Z<}1Na!m48+}@9F}RPOBOEfi&fjb2w2yIMbGgEAt&Eb&GbCwX zIhDX~{0bfs7r-f!n_ZCmc=tCy>a^|6>c?t}Hyb5ctx3K-OO;TR8QX}w#hCnUb6tlE z`I)MY*l@K~?jN(-cWq}YU2z^j^gH0hb^q?^AlYGZZe6l!*PzKl?K0{RIJkovH8PEN zfAZrd6}dnR$CF}Xsv)Y&tkrEX)`~Y0HojOz%8E-Jm~yln4o*te1$Zn5ow)7byHgAs z93Lmu<@ZMMQY%$GZ4pP?LuzUBjl{rY1y&{(VHzwe54UR%L2rL;-%^CxpPt0t za{sw&Qy%x$3eT&PA-`9LQYL}n9cAmwn+RznxjM{b(J0#8@D*9MAn=0@$W|iCy=hBM zjYNg8lFL<+6}xk%Ivy*kJV9lZ!6I&M*PFqkM)v($-{v!kQQgvh~@ z$##rrPbEMa2E8>ATS6#c{uFTQv`7xjDbF(5Ps7X;Pj8S=Xxe0R#P}kBWsW$s{&GDZ z)Wy}wa;Mx5w38!p8cUQAx*GXDo4!8yXg@BYKqFhNH% z9}DyFj7m_5p+&f}d* zX?b&cKI!9Na;mZ`oKgqpJc7b>WUCh%{N3|^Uoo@hYMzL8nax^61c9{3M?d05iJ zB>nI|bmZOrbN9+H-9z1=v9ioc9E|RpNNO%3^CSA4Gva8|L0x!YTx>YhUj=!hAU?H7 zE=V2j=qTwI8!x@$r;Z{^&|#(}*XtPKw7p-G`^KweRW+r3@~bR)M-F2D_)%+ysmr)* zu4%`}un^cRM;7o@l`xDj^`e8U-W4J^_nq zf$0@zMTsdX3a@ac5+F#|s|+kZdaI)@WAyklEIQX3YBjzoen5>|H^7YwD>e z;mT{YZ5G8f5}qxSYF;XYLm+>|$NQylv7-zSZ=yk01Q4yH`ojph$l;LEZLMB4I@RaN zLBblF{C{cVzx(e#X09Vw_3SaWt+-seU^uj@;fH?TreK#PuhQxEAo&uu{4}OLm0FfD z0_2K@X0KmO2EvjFj`nnmv@=hU!CUuYV6QItQ!B)nV47E|;vKJtBWX9u4OlAqW|Jr5 zbi7rIj~@1Mgxk}&ogrJilUlyw;XfO>DzUZMkkV8Rof!b z0jZg_J|!{klB=p|a+uM&X)?n}Z0gdOCX<4v&C;a7WoF8d))%WUdeu!T3+N_A^gK*G z{RtQKUvIAWF+NoXh9DF@_>rRq8Xj40pq)AY7Rn%95C@hON0HTmvA}>XZ#EXUj#X>v z6}>=s5tDguu$TNs1MC;i-g1Hht4$7wX8s9T=3?xUjl6SB6-a)q5&f@I_+Mv4Kli9! zYxK5>muOe{5$~Jvni6~yR$C`pl#NTxE({b7G+2UO$PhCN8D_QdD1hyZig*;+aJ?KKi-oww>F(5{ zWydR);~YOe9zw8>PGRAv6~Avx7nK{clUBZBlP&+75Nj6-5uns}Ef-uLc5GQTmdh)4 z0C9fjIcA@63wUU0@@-*tjO|a?%41!3KbdY4!U+E?&i)YkTn&ZwH9l9hSCUd1*7dum z?>~DxQ29vaTA)0y`l9ej*mqN(5^f;o3FCZ-^ocMZqF?Geytp{!Jc20;wJ=00IPg?{ z(L@YR9Q-@?wF<_`&2|GHLJdnTB~*Cycpt}q{ZW@VcIhk<(QmM{$03DTSntzFKIZsI zrLk^$@L-ull@?jZ$fAe&?rk+45Ntj-RJOFJ<$R(qxBk?IveR@OGRKq!k@BjcH41@HTUdf0!1XZu zhj?iB&~{_B=RaR#d8d3Ws&BgCBRy)*t}?6YrdG-K3Y9zYUB|>aBk4Jvwhko`yn%WZ zTpMGtMkCako&BILZoOQlLTk^Y_*N38xXjb!APK0wV>J!lcVhRsx;YR-oT`#QBC8c9 zq~L2+l~O3pZrvW5Rx^|vQ(-3P!q~h8Xzy;~AYonE-JkU`w_k%zi4h5%%K{5+*+v); zz`GG%(i518lt3a6BeiQ(5YVc`NGtzXM?OXuAdh1wR|10xqctVaK(DfR!`cki>adAU zn^wX^sq|u$ffzqIO5iuH?ip{VvuyJq`PyG7y;TGQ%|xX#pJaDCsQ$L<`9(@ifeN_t z_=x_WMyUSu%|CK{0Keh?7(;P2OV=2-nUz8c$-B}REOMH9G+j7RBu5^60B_7)_gs1Q zezz^Z`5d?9yT7kNaDI{ns9DC?{Tc-43jshLBRKQybYHpoZfHkOe7;LP!9j!e{QVG8 zH^~Vm-7b2A&eA}OdSP%)0p2+g@3i~(AXEeELgUFD;in8rqrtrdQwq3vp697 z*$y7FK#L{U`) zZbgmMqMcF&IhG^jC_AVu3~@ucnJ+TKa_ZUh`-G!?=993oyT2N(EnU?-7i0clBvn1A z6q_OgPu33L)n%q}PBq!s3s>w42-#v$r9mA zffG&sft8*0n1Cu4s+E$qjMr9>M%(a;NLyNQwWHByboppYD}L2zK@cb&GvhMQFVSv~G9!6`x_LrzZK^mg~i~VyRgC9yW^4Z8&sE*&!^S>;@Y1 z#TZ_>0T<8wejG?@L1DhmyB%qFByf8C3*P0pKD0U6tmiy&C?{RrrE5+bJ0V1 zQ1&PG_mKx(M|%EPpPEhe!*+W2<4%y^Mt~$8z@yPVrntwkuOW1iLo8B}u(Jj!upD7( z0yE6zM$Qb>R1xpL4G8zqibe$0Os6WFi1*i7Sy3ptBlG@Mu^1?c=71MjAe`x z;w&R~_b2H)3duzMtU5+f8R#X6E4ey&D<&n|03^1Iqyd=?ED^YQXwt>`YJz`{@9H-H zPVuODu|V)o-`+AnL@)UUWp-#CCP5#4QD7}JH1xHnF;n@t!`A^UE+Q6SyK@+ZY*|b& z=`k_Yky?4D**SDA-B^AuvsvvJb?sADfqd*JQdH}>G9}z(_Cq_21F!zcnuU5YEd`PM zmQ8z%uMXkWba+`T9f#giUYQPFZA2pk)#!|V^Gl46NzOigJuR}tsnHdRu+F|K=Bs2{ z+)Qti{&bLRS7a|_6n4M+3!ahkn#34{Fj#F;uVIrK7cfy(wXIhxDq*Lv#_1*Q5drDa z#VO+^f0C|*B^`BMITJ&PdaMABeGv-8cbTQOBAD|6_D=h%m*BvBkELuf>UQ=;N+n+s z+F+mlO=85|UO_+U)Wuwy1`*YFyUw#4)O~oDO`@9uTS3-(VuT}I?FMO@v4(g!g0@3z zbd>yR3qE_U)HWOD00-gX1a2;R(8fPu+US|7+C3pPn#%v`qj*@ntw`zB^A~#(;5~~N zH(??8F z=bwafSn)vlK1?@3K#~pHmifMWSqpT%;Mi4DZoUg!mI-RTx=$QSNA6uX>s1GKv<~=( zuCXj?t|^ukg|Y0UJ`1x!doY~^x9&r17To%Qc+8@$ejwViNZUbl>e&Z~M=AJ9sv}W^ z>GYGDVmFA<(3Il*R4O?C)lTf?3QrX9iu=;D=IeR&{RaqM?}pTtt2|(K zT2;j)0F5_tODn&7k;B8T@)RHYHeE1%?cYUvJsBcpHiI|GlA!jmwSfzL34&MfQ=8Tx z>K5rk7OBT)OuSt9T)!x{3(IKw%bqi+q;+!NcMX6+i+c^gEqfRPN{L0rVVDN^&|A%T z#9{XWM{W*U)agvg?yeH_sKHXHdQF%xzAPm@_uI-t>RIRj4LonSPfq zk=!)qmFb>Q83h~;I8_Tgw%S~&CNyucrcLa>{HUpzwdT9+ENMOSDq7EML2Ea?J1L{= z_0xfu%S~Y-vu!DXueQ?ESOHqK2Puvc!1Mh%ia*iPSJOjvs!iHm+(=Mg8gV%`O(mzs zQ^2ysip1D=b#?cjezcp+xTDVD@Hnw>*Yka%AKoUh8!0U`2=u)misL4|9kj+u`rr>g zoR--Q^1f^a%@D$#3X2#PBdt&Ao|T;4Bcd!&`=tG<#T`77R^;$t7j!gukFbhpeBS-$ z9%e*$>%pzmR$!1W0s8>RcU^!SOLU1eWiJxc7erRC(lu)(Gx7TdO^AeQ(yC!3x`Lp8 z2L@FQqQ>SK>SH6B;wr02C%al3XJR3xy-{pgYpG7QzL+zOb6rAEtu@U~z9V@SGEQ$h ziL~7Poz`#L5{8qo&S654`Df4cnY$zS$OXsQW-iHW6L-ET3}+TNhM3Og7zYNABHKcP zy{;SN1&8mB13fkN(a$qP@UP(nudOb5|DI(wp>@TjXb19j@@e4IIx0BIXDRwptL!?R zVy(osGG!7l&GUkzEZJnvD&HhxzA3ENsENP1?7`$-(Q|(~B6$&$qp<|qaGJ~tylsxz(Mgd`=26&<{VTS%V>0??qY@R^9kvrhIsk z6kwg0Ilud-nS3N7-;{PqLcUBf7LcdOn=P7$FXCEG;qt!USH!Cuoo*DR@INPI%4SPc zqC@drusJrw_k?6O&hDtvMGp5Dm)Qd54E7V~rEf1D-0xHA{GI4J6%#VDFXzm9qeGL6 zZ`lf5^$G6@%nmazENmk(&#<_%@A8d5W2lX?Knl)Y##Jo-)S-95+GTh-d~#rN40{L6 z+GsYIeLgV3f4GlJKp_5i5Tj!F&~LZt!?bVM9}=Yx&BwX8bx*M0dmasg_k5SLmZ?pG zdg)Is393?(&!NZdB2B*PqMu_~u#z89z=}FB(x13XtjqknRu9@KlJ1|`OI#m4$54@k z2}-d7si@G@Y*Q3Rcqe|f#Z(=Y*P(UXX&mpiDY_ryML}<*xHbNeBD09}k6e(tYq+Ye z3EH9iayv#|kTGhEPUaanN{X!C`7)6a7#7C&?~1q}QGKG=p`u|glzBH}oTO!U9(n~U zWZo#=S(cLp`hckajsy$S%*l13Pe~;r%ntEgAr-} z44!*bLby}m#jsD^{k4zlEHsVeGwlV6ow;a?lC%3}aaVnbtE(iQ3-g!bUcejkDqxF= zfz_f|kUG|eCha=Mg^*{BoH4K7gD>XQ{kdX7{+CzH+%KDAogBM?4Y~oBoYtwMYx$vf zx(MWyS4`z-R_Q_b)0CQj*!U4*I+paV-pHPJqlsw>?vbVI!qdnJLvpx0G%pXgBJlFv zpQ7bVYfoZ}jkpq14O$218hi)$&=9eK{pA+U4g99l`J&h+eLTmKfyGd-#0|tiMaa5w zDUUY^i$~gI3fe;y5^!;8PyBClYBGD83o)2yZ;!g5XkOzZ;2#h9Ilv~^eAwr}78`qp zwE|`h^bD5I2k!cAOST7|*HN0F6zOg4wB<-^RcE>Bke7wSnEbe)J=Qt&%lr~{ zoB^B<$dNLJhe?t3#~xZsFnvW?q8V3<9 zH-7#rt}V`yw~SUsDR)rFS&wju6#-3Qea7P6FbjLrSme+94947YpV2Jy3iEeOqme)F zGa7Tt-lMs@*j35H1>c=YdD5mrp0u%y2R85=T=x~(98D37dldH=!#l;(_BN^LE5@Y6 zJ1S_a4clQ$ZSl!6pH3He4CRQD=VYW|VA{L-CptP^0MzvC%{4(COM!%hCoH@)39285 z{BNA{JlDWR^NUAb%dY*^|s-=HCz&=ZUFo-Tgq^~eEQA!eNtjb5?46~{nv z*E#xI(txQ=S9G0WHMq+@k}DR^(Z!D`oA=wDi?lIWm4w9hjh#tO4Bx+W+`ENUarQR!J(ozH{+lcnqza4-olyA+3Iz zz>ns}A0=n!e;7<@e?%r|ctkUFemoGli|7=cA4hrEJcL>E*RykyEdAO}RuKFOj0sp< ze~?+CIVp=8)u@@~7pg6R_?F}(Yq+X`gy=SYF9-Jc5jVISsLkY zGvYVddc$?HXZx4QdRz~0HV={)=yoMfQ;zq!D0q}#vVUU=WDgRq2`5TPZzqgOTbc$8 z#Z5qLbCVpC4B+|wNM-c$*~$+g#XP;civKrdj0ibyl+~tDAhe zbY^7(^x5CbbiCWfxOL#$1go)a&Oj87PJ-j_?LDlNplX~$oQK_7C%i5;vV|LM1S;J# zBGoLFBC>-nB!wb_*|7Sa{^RmEnN-<)cLl0`9D_k^7-B4OI^V8lX=$ovJ*8#zKoB^v zVw5a<8~R=O;O{UF4=qo@VcN`_%NqF(DfjZEnR~;}PR|~kosdBx7ak<^lXZz;#r^j- z{nJv@gt`DYIoo_OC4aIO@!}AWd1+Qon+&w+lr-Z=V5#z0P)^bHNEh%DR}4kL$9b8@2j-Bj zR7Pd>il{iGM3u!1oi^M=w>x*_jo8rHBjY*j^35Y>)}aL?8HlGnA@DXy1IZ5K@!V?IF8;KCYN ze2L3#h05-914p*bgGWPmzls`fbT1~a=n8CkRu)JCDb#~H2X>801fmEd`C`4{rAtgM zr24ZSgV6}xY-d=igMbJaBbdu(|DmU;eag1_*FCTs4MX+o-xPi1YBwI z_UY&Dmn=Ml(MD??QRvaF-;nCsa90G(73Z{vnH|cDdYenu%xVJ$-lCXoGmb>1QhY5I zPFz#s(YV*{f6<`BQ^)#SUR@hHSv|8j*d61|85V-otTdF?8$B)MMoNFDO2n1_2z;N#Uc8@+^%aFh=qReDWM;l&yzh->ak|=Ls3$Kbv22RE`#*7xbi?doyC~m|r zG{kC#O}jv=3Cxv&Y(ILUpz?4$I`t{fwu?)4N50D^7Am?0OLVE_ z2TR0TZ!#m~XmFw%+Wklc0*vQM_vB0p@W69a1|!Jr-QbgOt<-ssw#X#lkz%Y01O$+= zLNw=>D3^ZgOYxZ=1=^Sj6AT_8lVZFrXF_rXgU2e=x0cOPFBMztj|o3pnL)uVR60t1 zJ%bs)l5t-00xhsYVn+DXHA*fm- z#jDTofD245Ri(DJRn8khZom+M-2mK1@E)hztBeV>IP`G=dnJ7=zvxyhe~AQ@V4!xB zQF*KGV6&1nlY=0JVU2{(2mW_Y9sak;2r1D=7YfAQLSq(C85u;o9YQ^C9??x#R1_T1 zRPyMQb#`j%qK6*jC)6lJFTHLjVS%ErqCP|c^$XThM-}y>sET^4?1O>OH*#M1^6DmS z8G^XcvcsgN5j*t6%UCfzC37__s+D{D0SO;2ufOtfNM!lO*nl>*;#{sMhI6sOz|;#Y zZG4+ft`Kk0D<@<8@oPeKJ}pY@{t5gMFVF1dKQ@&o&bfbWs6pO=-Vzk0Hcmm@*{unRlmC( z4KId4sWrKYajtyj)BpYZkOh1QMu0tQ|6Oz>z^XKZNcOJETlXaQDt=VtG$M|>R z)r0pd@uv=JpkwpvUepI2*#dMK0v+f}bNFpIE zS|yz|N;*oDz@XqIU^xnke2fP7LfHHogh{-4Bwdn5*bq|#+b5!wxTuxrYyn?66TS&qbD+hriGE_Xx5{I!HR(-Z>NF!US-|WRzopD#SR;WR9w$Ev*$;7d!+OL)$V~W3 z#h6WD$n6AEd^NdgE&Lrrvat0Z6Ij>$ZE}?v?JQf7PPbt`5+EP{bKnUf@~{|?!jn`l zl8wz?SUGExP?3iBkbva7+FqM^Ml$;(_rk>bHsL!idj138=T&(fSPo&Gf(o1salH5} zF1bL&44t@umzHKp`ZiYSCgIweU>>KG<3%Pk9tDd9&yhTW#-l*|!BAkK$!Lg=l69;w zLw>8d2;g)0e?Dom^OSdOdE+{9LJ~UzmJEz+{;Wdu7^cBL6zoUBC>|P2H&`QD6tbpTSjD$LQ3aqT*+D&daTE%noSpLj z`cX1EyNJe7ruSeB^`j?dgX6vIIx|MI+3YOe>6W;O*WRfhRY`IS%m?OWr%rgY)<|(3 zwDGCqYboUv=k4M)Vg^ei<6Cv^Nw8*`q0)@RLdz}wcDP;ltHCb0cAwE*x-e-?{6|lD z3g*v)4z#X32+V`R$+=zY^ACUX>zj7(nS57HsfDa51DXnTK8y`9Jjy@{PUF=)-QFi{GWZs~HBFZoJc8|+Fm^1fwc4qe#%!i6$H6wBk}7B{nvAI6 zk~M0YM3AG4jlD$>koE zl%7tSd$Z847GC!c8QHloc|j54#MRYRjhxtYMbf8Axc~E`PMHP@!PMSS11awgd6QRP zyzsm#@uK5h)QTM9oY?nJA!&{K;TWTKySx{3Jg7((jbGFs_jKFrLfY-W$>6$)!mv9= z_0E^@X=h9ReDD6!M|BT4Li|>r!-&zr9DE^LW?dY~e*|If({_D`m=J2Y2_HK9G;V3> zo^IDIU0mL)@#l|sG}}mr+0wSiVdJFB5vkhusCw@Ho<^%Tbx}u-h1D3591g6m_L;iM z@{~aB_E_s)=;En0TO2^bdCy5u^Ws^lc#AFF<4wD4wi#c#7E5w2p; z6qAWy_6HPx?if_XWX}c{)KR%OFR%I^+gpKR%QK!4OuSm$wJJxiAQp7?4b-YrmkZtD0b~blN7PR;fqk|YX zq-0!GxTPRFJ3b40Ic8~Z8hg~@c=P}tqDKiSc$#`XKi57}W&#wUmY)0`O6YZJlYM+| zfc(=v#>Y3-hQ~kOb9A@KxL9qQD$Q|_*uV*~f#RlSViwM#jum_^Bx}{uv|N(P{V-}% z@JqO?>?X+1zGjAwbOjqgG(qdvnahO{PzWQ`i1AYzaslM39ziw@-7x5#w`kMnOK!{3 zol!L4aCGDkCfEeX4wmYd2oBQu9v2q~kAeSlet<~{6BAHdM*DW5-o88qVVPIk8ZN|c z7EOYf-J3F-K!ZGH_lDr8NPa+z$5DF(3ZE^Fb#hkzuNrRUYjplN-k|N~SdCktpV5H9 zKikaFU_RNn!n0*fq-|cHSWPrR=W~18r186Aa+TGT>G;>A%xyT4T5ikD2}bboEEr6_ z68AWGDGWsESBSk>jEQCC3%tPtsZ?NeNEI66Rl*vBZ&3o<0929oO5K5!SL=3_AiB1X zLN=}o2Z^!yLNGho#(9!$=!arDt$Zm1rRx=9AWxEqoVIVS_9u%wy)CvIA=ernBBC6F zjuO*mu@lx02_kv^Th{Q29)tanmn3z79cmf=%I}APB$P+futN$tH1V%+tFZ2GKE9Xm zFi*r#TfRIaT#pePE#e8kYTTkVCC#2YTL3*k!oRb~?gx|v=AF;n{=sB``QUdC*!I9M^E#trp8mRB<-4KIbsa-#rglw z+`Gj{lCA4OOwTzI51?cGVj(0H2+qz-c4c>E*1flnM0NM{p5CXcrq5K*WqZzW6qy;7 z8B>`VIT4vvT_egMuwRhCZ#)Ad`Z;+%F|H}xw&rhU8v?Wctr&9mrIZ6Czh+59ddaXQZD;N2h` zPpY%}#QCV+59j)t_%Ye6Fp15XL#OrX)w8p+XUL63Js1js3L*nkgSCb~LP~)n20Pm- zY}7AcK~@P(eL+bkfUUKkO_@1s=qgp`6@`OG8Oe&BShO zP~$qwu5?tisb}@ac2z$xHt(pwQpw^y>WMxyy6=^z4@||Vy)>P3VFezkeA*{Ch6nfK zv$N+H7g5)v!|1i=z^GBn3(!3{TObMLVOV!ZM~9loME}f_cC>D#or+B2UL6Zj**m=j z15c-pf~Sg8WGfanyFZ2Ase)Rl>^lDyzEc}2p(#y{YA!YTk`9+pYemy-7}Kg~9QPm- zBLNeb_T~RruFdafmIqAdO$!Z1-ghf>EpZBilSArSh8Olg7{GV>%XJ|TQzctiU^!NC znmeBT{Z7rH9QTAW;~wo1+i3FgJA+|L#@2N<7bN=DCKXzk0liACiaAM$byR+kv2|j>BkZ?o z6nlI1O5chGD!S&t%;k&5N?n73L=Nev#dC$ztHv)0w%Z*@)`u@JFHvd4TPh7p1&MaLN$^4Qkn5lk3rmEFS^;E1$B_kXN+NLE^l=XgXIZN|Qog%NJx9Janj~)Mz=%!eG);3L%%B}Zn%IQSyix;sf9AqrI zn<6IqmjB@+N-P+2{(2b`WRD$22hNu?sznKn(|o*1*KJ7A`PQh5mR`@Xy0Ky|P>scB zWavBN(`KXEk*bTdye?tg_6vBfBXE4lJXU)rES2bBh_#Jd#nWVfkG^DHNguE;hzWu# z-vILJ1_#l1n`JQFUiO@;CReUsed0gi>`y0LVVwfcph= zGIx7r8#~KEi!gctUe#a3w?(H8a>E4=Pk?ao5FM}7Jub$^q+7R#&k#!X?l)@lWywM- zjo&WWg+M(I_)d!~3#iTxca7lX?*2BQGB5sQV2yL@Jv7I`Q&)k+9E+&^+W32}c75LO zVLTB|t`oE88qT$dn<^(IQpPThv^ks!Txaa|NHubBZjDr9zH)PbtmC%7KLz;Re|Ha3 z?(^4gE09eg`t4emaa(Hc&y?+hIIu%)IB(0$T?%PdFmby}^bN>R0V($yL zGwKgV_75#ie#N(Hh^BG$B3Z}Lb)pX5^LFaBgT38dnKvx>R~`M-UW z{wsoEC&vJ+J=S}W+NV>>@c#t=1>WwBK;8m%JQZXY)-Zw0FE2K}IFaWKN0i zj>j4;dBbcw@DEtoR-3i^l0TziB$(%R+^}_L`79>qVV|Nimm3g7ye*VPVHPH!=7S8v z4UUsJn54ISPn0ZH^Q=M4LXsVi)SIo;5+6OA5vWEaIgfC?prtM$><{aD5*cDpTN90R zY@MGDP6nxNtBWaf`l_Op%#fm*sg@W>I^}`skag39qUK9NJ@$%oFTaeH;g~JKudjQw z`||Ui>2`Li@hY#^N!j=YLij%+~$(>|&eB>#7EB z>a~QmI6T>!Bj#C>t9! z`^P@MXMn8g!1#EQ9p-#^`t*ewn8tH@Dy?X=ns=fX@)`%A=(zIIcv(d>>K^Ehxc;>t zPpad`e(igydrXFUzIh|q=F2HvxdE5N!Edn*$rU28#2_aqmKoMGGKr=@uSYkT0BFN}3Q-L? z0aiDps+%AOjNuN480rp3P)TVJR@_bqx>s5#9rzw&?~te5`+_b^xNIGvTBq7E<`aPX zMc*sC60M*P;)haY{?3ub|L*^7m*UIr*H&Qx;KGQ*2W%;A3HU@9N6lHiGoSz|${|@a z_&xtH%n?h%u_$e@$YEVNrRZ*Zr&gJLc8tg-jP^V_8K6U6 zPc?Wx^uDItrgsJW1)fx363?U2JpLguFAM}!hKwhd1Z|l06rdadx_v8XYON!8+?zN< zehZq!&zZ6?=p&?Y7Cd#>o3(U(*?=IfH}9o41vsG8ye*jSEgBr}3%-p&KCvIsa515j zIc&<`hmW+cok1W>6QdLQB~z#9SeH#nqh9P~oR_a=FaIomr%Fn@iKT%uvBAye-wkRLFIkONf z1Wqsf-DVtU_1e%v)AwOVT(384)fpR4t|I4Qd+FVWomsbik9%rIy2n!Y40`?}$l{jv zWA``-{68`)3*Xn4V{Y*2d^L-8R*>g-)qw}`nBjuEv~k~16hphN%#S8yLBKgb z{^yxIIt&QSADo=%y@LWdIO8=6Kv0(HFps!YAB16LC@qc?V9-J;DxsDHL{cNz&=Eoa z!$j3`gL*xx*N7eJ?$4v8r#BR|jyxq#`ffUi-&XASRmffx2meJ0>Cq8l8=dN;P$z;a z!F@3SaF&w&Ws|+tUjGBeFdr=MOp%jaGCzuyG4?1EOeVx*LEYcvA|32$QFn26%s0!@ zI8Y_pkXjW(qB6mf^tu6F-4a!uC*bfAgfC*M;NP{j;;aiCxRk<8fd8|G`N+>Xs%IF)~-Zu}KkZlez+V zZ|P*3T&Hu`F)uJ7^WJXgx4_M+6353!I$Cl4g4 z`9pdoKP=8DLCK?w3Mj^k4`iIm1a8BWL6L5{1J7*flY21a*01ZN2{yP7A+A@ajVjDi zAnndRgy?W3e7weo^I4u|bInaz%82RgSQmkHDaqB<^APfJ!|8aemf{24^6p?jJoSSC zDy%LIc3y4-%Zi*Egh^M+6AQIkdKU&&mT*M z&;Ss#yal#G0uovQYG*eK@Ttw$afgNmtq>%pDkwLNl3`%q^pyp-5cX@T9w3#u5JAF{D&ExlAt+lxrmqjgakhnXI+uwN^ZQFO|z&)x)wJ>D@mhVy%*j ziwg}1p(u76eVm`#kFG_6KUfiX#jT zdsSuU`%Cr1_Z#)5NsjAGL9ES?T-@bMWp*}Y%bsq@Nt>3Ogj#ac-+RoK40cU-4Z}8V82(7zaQAnAy?*@1fze-Lt1D*l zaypAswUB{kUO~t;wGhleuO1P0BA0`G5FIllkIEEQ#zW{dIM6@5P(dj>M*RaCY(+iP z5rgpXs>{Cr+8#OxXoo1KoS97deZJoV>#Fm0|Cb$U6KUfOHXM8NuC~U&sDcbc>pZpy z?$A1L|5rVJ#8(||`Kp7quX^$*uX@tvRpa$a4?PZqI;wZJT&VqLD zHy-S^d1Ju$>o@edV|OYWs$XNJTftj^fi$_?0Q2DRWMr@c zNlNyEGcFC1m$!L3pR3WK8u=CuYZ2kX(ac}1@@$nu<`^69y2!$OBz;Z9kfAw^%txpl zX>DfR!e~d0B6ae(bx;;rF01s^;h;JQ!&t;cEyQA#tvM5UlE&&)N%3qELvEDCR?O4i z-KbS>lEE>E{+V1CS80ibmkoR1N^sjFxE%E{&>aMD^+lq3LD^6Vz{K9_?tKm4)50cz zB@B++9SEuLFiZ&EG5j?N@9;9MrvmLE5~2quC&&GhlSuPKd>*gRPpJ>7?EoN7x_vFa z+c3lq_qF7u#s<6jp|z4(#`AIh;?yNa zgY87&Rh5=c_eUc{Omnk zfS5O&Swjeul8?g*nz66kATu~ZArS66Rge@uZC9*6U1Yqe9{(p zXK$2(R|!WZ`IWx)twyzK3`&@Ts!W}laBG$4D2OKE!b*G?;|!>Z(7RKPXpgf#|0I+> zZA=>Aa3v}|DiyM^O`;g*^lEf=UjwXi z9*_?)=GlieLLUX=N}6@bo|Q11bX64tH5?!A4$N+2<4L@1u{Oy9?S@lgJnH~nSL>1xg+Wy)oB0hEuF}cX z)GN-)oLr@I;Df9b+%UgmDLRjPPOb;sdgj?kpdozK4JK`?*`Of}0mv70IM%?CU=2-> z)#3_1<(EN*7IbRDSMV5G0$eH{F9y@{@N>P6%=_*RWJr~7g)@q-Mg3mGy&_kcDgbSX z+TKOx230~Oj?5!sp~np;993$#SAg=RUAa{(EEu-}6Z<~AD|F@pR>%^`+`=PR5!N-Z zW9=b&SwkBEMs0D|z$gJ^7a>kp+#aV(Vy%@;;Z@KAven4?>m_CP* zpETmiZB;#}F0L^W7ptvdhU)Z?<{AeyZ`D&{)&FZ{)n8-Z1_y$>~b&*;Cl!Zfv|(eQylb&^RA#4n6T(i`hT+jF4XlP8yRVc8iQ zld7+S5!HnmLmU~n>pLtN|M`;;1lly=J2ei3D;aRpaxGS8tsIw^Q=kvW1d7wSnhfh$ z3_n=y6HivMl=8v1ITRP^WHN{CE(Nb4>ooEqjhv%oyBqqiVx!h9N*l~?do9F!3W__R zf4hS1o7)A84B8X5%sQ6AZ9Y{^(8kaTom>_gteqPC1AacXVZ9D*vO|s2Rha(5((lSF zwN*A}pE4m!h>p>g;CzKj<~8j}VC|(m#YI`Zirqqz>onUGb_^j)Jq{tZgiLi-d8oQi zb=+5N`yLPKFxB;^2IQ#tN^(@Zt>UPtJT-jv>}^zYau}d`@UELic9W8? z2*gSc`-5G2?!lD5%?FJCmiFTmdT1}HRVyO=9{%QI=7+!)JDFwk2|>2_k)9c`y0T`e_c*sUj$JhHas-EsdFt2< zrmniBk%N~oX_7fQL7c_V!CsmI1(_>9q?gH0)w+UR@VWk!h@Z2@H0{8lm>8CX&DWwf zH3&i;f+f750O$iuhZ?6fEWxmcnO~3#gNvH;;IKdM=nx3?Y>;7<-L9{aMK*@0?3knX z*O|i^QMA&L{@+^)ei^o+HQK`W<$Tyq1I$qSdCUlgdGhJtK!@qv92hS)^9b@_rUP!` z+xs#_Y^N6Xt9$z}r(RdEN??+HuSQ0!8PD6OE%r#P6Pth__MS2;<{5l8(p zL&fiwCuzWvh6ZfCD>%lus` z+GUj>cXSavPU`H78;B`()L$KF%`$;Bx<_LOcU`uX%=^|XJH!Ju@nZhZAGKvIv*Xq4 zTwA5karP7|JWVmJhM}xtM3|=#zUa?@dYh*N_Hjq8KzQt1Ejqz4Q{=**@kt3zs#kE5>Dfhmh#qzm3a1W|X9BwGxkSOCaqfS!@}w z3&|V3j-YS%)V&1?kvh{))#S@JW3|XkA%qr^EGm6PO>kgL!DbuOI6({vUvwSi@pozy z&10>Us^_iu3o0?=G*j(9frmzR~+#qT8{ACv7XYUgw&5(o-4O1gM|6-`M58qMq14iW$WWJ{9| z27*|?d~=!5rxAZg@j|l|0Zy@q;d}sKBs3+}%7o$zHj(;Z_X@y#>VJ23cXzeDs!yep zNy_0qwUi>nG#&x?(X>DWy-+-rLSg7(wn34*f7wJYqV9CD?uG21M4{Si0Xs4fqJKmqa zkCaibR*X5Y4poKJ_<`;jhl?f&XnshKC@bx%N9i|x{Be3ns@H?93kD1twrV_T4};}A zdM^T^K3)W{?He0bkhL&qt^giL;j;|t##)QbX(wyPLk(<)(~6@}J{5?Wybi$;> z=O6M&{4M$$gX+aZj4#A_!*6O`g!1(7xN^PA81^M+r;PnM zE;u)0U@P+ClCI!Zrk?Ibi^z;k#(#Ou1%d~-RZUM|Xr)wzxtfRblDkbae`>p>4ScLv z!Qqy%Xtk~2J9T$~C8&lDWZ}Y@CW#>(x7VVXcH?i=z{`1-<&{~v^sD})rsv)7X7oJuwEx9NZ8510B4Kb+gCZ`%*|ruH>8lTU1wk|q%K06e--72qtuY;7 z+-)^7wA6H03k~y>qR=PeNz1uY_2DT3X>uVx*tGQvyO7t)lxz?DTJtsTezRfC2%#KZ zHZrqMQo4wXv#meFdB#{>YzBmELMx6b0*y1#I^8VT#o%F2S=>+Ik@f~GMgXyw+okh6 zDwER<)pkds%%(#7DYF&Z81ZD%hsW$!_Pv(nblu_M(_>871wJrUKc?#*Mn8=PgQ%+t zjG&?F28haH`&M({=(dKcQl4HQY-Q8iTPnBO9r_*?9V60C?h z0A&j&MDDPt(eF%JjVx)(v{iQ&Tx*a`22<)*hzQp@46*u_ar83Il~ps#cA~c%wMj2y zb<9xzH7o(1r6I?l!HZGO3*XtRf!R0YlWE`9OVPv5!bT%-xl!Byb6%{T;)v8Mm*)vS zdOkdOYG`qd?fVI|#U>xRahEK&kxxOx)L~Ku_0TMy;wdbCHlnKn>4Y<~Lm9uT$`hfUi4NJA88OuB^e*RvGx` z3dbHL27mP1(Jp{ks%#bQndwsWYTLNV<{{>{6-wRfB4F1-o4u)xmyp4$rkdpVFb$PI za`sA7k#~Rgk;K8`ADKPfTZY2%rIV)+fd8%NM2lw)cC}>IuPEeZ)i$)NxUQdm1a|gT z{WLgus^+5VsKJ5hso|scR5(0WEjv~gszORi$m0x0lo#VE=OZTb5x~ci=p~Q}C2O_z zBL&7*!exO#-UD>Ypu5y5zfU=vLB+n4h@@TyCkJ!@ykw8sq5_5rTgU>Ipfwm<*(GV? zYLHos0!0GuQjrNXC@9RLlYl^(updoQ0y4ZnUpuxJrDoJ|i2rP$TRTQ+*1?HU{=n9_ zX9cI5xV4e%r7!i;VWd4HgOlNaD1tiI@i<&2*IBQknk z2T?a$_rgLD?*rNIm}_bC@~sF&V|spNTi_$bQNoG&yS0h=Rn6HpAHPCfp1w=*{Cv(D9;5gztgqeXa}3Mjm~{_7l*4n>sZL ztgA|UX}w^_Bp)~n$)?j@D|bFMyXTbl~a2ojv)zgvMHQ8 zO>Y7L36bAKs6Is0#(5eeB(H8H9~~aSP&RZ7-*412A}+M9%KgKpqy;Oq>Tjdg0pEM9 z{=i}DA*9RiA%JWYPQ=w5rB_M$++PeV{b)m>%BWZUNgP4!NDdWx_xtDq!6X{U<0#44 zs`CVXF#w6^ltVR1uI#pR{_^xRq5#8d0Iu15rX8a?tT%`qtM!xVjj64Aa0wz&Nz|h1 z$i`{x@OGIu)PCycvTS{(gvfrJBCv;(;W5io{ezvjo{`$ z>WF;fa;yUFK=B%ZhQ<|qB(k|6!vXkAL6~n2VtbJ~K5{sjl`*j~g-+C)WtnN2K76U0 z5;cUihd3qtR5_Yb(VxZ$0O#>-?tIp<(tX|6k6c% zy~~D&*KuUP1VqzA$0B(jh6z|C>tL(+8^FKd@jjKdQd78Il1;5wLn7BMFb$OdEjV|C zMv@OJFamXDDv9RI00-0O#+GF<4JRFGa8S5OwMJt9Vx(n9iH~+bLGc7EX)Q2Rwz(WQ zXRZKR@gR5HOJXrucs3%^0y;lWFV(IXFD;+mBGHbSQcF5OKy(?&XK6kVZUcJPxbr{|saS)| zPYXagSWn|TF`19_U=sq~i_DNQU!=;MjD8Zq_*4_UFvrq)0?VA&ns8I%NxX8Kf?GK` zT(}(C+3MWl6>$F$*59|iz{>NeW$J3G$J}RfCTxwn55T;B0XghLN@6Ffu-~A_ELa9e zPKxjZJRk;TBz+`LKHj7yst?UbMZXGf5G7V?r+Wa+6UyJmXqp_V0@P+)F#=vqer@aN zv{5cB841U<1`gB#iMy?7lN9gER)>YSE;?!1XGRGzc?!1I>5XXGj$McrKM4P^ZvbJi|EvlW~$m)Z=VZrG-7H3lq4v)_~UJ4EE{90Aivko{Mu z@&~?$8X)R?P&ia5YIY#T8}F5U#yEc27R%sCz)dJ@%+dJ@)*;!m;P}@Z%Qbq5{~XHx~Soo`jLVSg@8XipUapYs090uR%YyN-U6P z6mU|spYEr7(7k(ZBUhl<-lPos2l%0#BXv=W5X(1HI=I2^ZN~T~%PE4aFM(s*$bSYA zGNqL3X$(Gv5I9K2Hu!@DX)*4Va;#RJXSirRbAr~dUOhWIdjnyZC!7Yu`1|V3 z(*QC{z5a-tC!yUeBPFqr7THvU0gG97quZ+4$zOnD;urC)>ME`1?#5?yt9AbWPJ?Ut zM5}MNloV^FGg%ewsfbl6i#QoYU0}*O2y2T4UcW|XEWTXxj^c>G4ffHA-XXOepe8ET z&{^6=2H{Vf1*-pHf7#3vMv<8GM}9(CZg~uOzVc3rC8)uM5#qaFf6_KR+l*M({^}XY zt^H^TOn;bh1liv--NBg7N_&xGW4q()wJ%-j3{@^q2kdxF>pOfJd{KADG3sXSYM3b8 z={Ltb?F5;y`cl(_#OW>L#--bWaoS|0hEen#xxsDZxKY^N9Z=pJcXaC<+BY(l|0MYg zK;WX1=Wvm!t{>ly=XA)-n-ff}ZUe6AkW;K)dDp08 zXY(Zx?3ymiY~hkSC!k%Yos#YJ>q@@eaF$;P&ux!AKaKYHpB^3_GLEed1TG&MJRj~o zJvte-m%OX(4n}qBY=Czj>VN4d;K)3IDv|IqXE|igIk@_uCHv;$i|7|%PUQ&KpG5ES z^n*OYD(iLP(x1W=WzS9EtSyASgRG`SI%oHdeV(qhEdeI?4~bg>U29u{4S4y2=Z(+r zSSNwuk|==LhI(O#--SRoPOH=>o?u8*typp83XvyM!DRp2aWPw@sG;5$byIxJx`Bd58{b&@=A)05C)Uy@tvovJhnZFo*;$-^hOr57d zB$#I((gkdJOiPK*mN>uChgdj$%_nNa|LLC4PE9^Qn(}2j-QWhrEEBEp%v?M38ZXqz zIbC>M#)gZ)yanfl67fki=pEL&0oIZ8I<@^xZmVm0r0lB+gNtcSU9|1@{R_8ut zbf78yZ~j_C*1h+2(C7|)oPbP?W1l$+W`WrTdzwLa(_V2e(zmewfw@!blvW$747BjGG zkT0yeSk2h(0{dXN|3|TDaO3dck7TFKHtMK1Jp7~Bw#z(?C~EXatz|gJj-5HiGmAYy z4RfpCkCvIq$-4UoxJl7`FCh^bb!nMLblES?zKYHck9eJE!h0+Zk0vHliv%mjiDY=8 zVo>za{s^pX8y86pQtl}^2#9%Tq#EgBlr#|${br#`K%qa{(SU6l?uOahoz?vFcV~bXr@e&=NNv6_+Zp-y zn?$yau7n%6Om5WP($_D4&H$|y?DYLhjC;*T(d9bW#++4AN=<}=8^^ZPuh|W|m?m>E zM6`$lZxl3ayL?j_4(=n<)Q8Ly_`U=UgketeB!nv}k12olY z&~EbnB!$zV<+Avv$h&DE7ZnkIob|>cUN+M}k8Pv%yx~9wj|rc=hqA{LH74dsldT8) zwEY6swZ%>_+2(QFY<9VcFHZh#JZAT_wHTg=!?5beexJN+Z7GI(x@w$MKE~Zpv z6C`WMYf>Wwf3PMfmWL>8U0TKY>x+wMqSoLT=Fk@xpf`8-4{>$W1auVbZv=uv`Z%#4&9a-I#0YaCz|=Nzi7z9b>pB|a zA^Dm}ad1nT#e%?jGfC0AiB}C0wV_z|BM*-EPlyE^DJ-z3TL^^|^SH3sg45_(^rB+` zGpD#TzOXfmZ4N>942MaR8zNHjSzYXzPv7G>jOsi(1zTdt)%-S+)<1lzPN7Zzi0?2T zrD#0-N!d4E!t|O*=kW60-R2wI{oj;s6i5+_EeAl2t5v;G^e)e$w@4IN1(lN2U>+Tq zTZxqsspM^~5iZh9xG4S2%MBI_T_Rl>b8+ zAn3Xne(cLRd}63y12PV!u!IqD=y)m)RoV^lJRX6n(I6z=aQ>?iZg{taXoEcw8;JoU zHSei4{8HF1=J}4J(17RSjNhr0fTY1mpLh}s@|(%*EFrr9Dfj?(ze+sK1q>it(kE9D zNZx7ww@3kK7%vk-bgAZUA{dcSQBcC+Ei(n$t7L@YKDJXQ-_V_?aoWv$6`~C`t8Do6 z=r=jIwOJyhLA{zy0qK~k**k-E_C#6i;I(ZG-P7?Zz#+z}#rEaYtocVvI?O@JELh2K zRS1HtTWLg_Gajc1xOi|Uplc(0dwc5Q-jQ@Kt4nw@bo1U3Khg6@=tMg(0mk@~OKvHq zg+NHPp_Khs%_we$DS)47_btbZinEJvtCtuSCKpb4udI05JNN0vm| zJCW6K{|R z9D-qc_KqjrkhI#idRwnuZC>~8ub_FSwhSDQ%*g)*i3WQnV-l0JAzlug2iPe0eLj1; zo$4G9Q?bLZQKGCE8af_^JazDl%42z>jx;c7mTO3-(o>pHv_B70@;czb4r2nrRIzL1 zm9oT9mTERrQ!6c|aX#Z0xl*=#;svTM<26Jr;A7H0jcKgfZZogxrz(H9$^DXSb{d>3 zzS{_}P^g%@->VeBgfoRT@>?o&oNIj6;25)ov~HRcy>dt#Wem%U4XIDLrah8lu@D~}f*y3S9 zn%O|lv}X0udh}$m2K~v!t(r~{U|WLar%V=f4gdWHHpbU)UY|xUflBo&)XaRjSxLmK zJ18J+$dBzIo*8~%G^TvmqH;(U!MH&#g`}vD0`!g{r|M;1bgCTyB^6U4GJ#p>0;!Fe zf3P=RC-d7f?6s68<>Xz3UyKwH3Y2fCFNdih4KBxODTw0MvoxPXW(lk=O=rM~2P`%H zlPAP8k_efWfD-|}ysDl)gSxxQEdy-o^Gj+}Y>xq_g00?nXkwq{!bB1Z! z3fngh@t1(Cm+Zelb{4JS{-Wt6vZ?RorFaPw8}Ouhfoh}!D>vSu^r~z8R$`8Nyfaq~ zL+R_>KksU>zol%05KWc?3@&ZxQdZg7V+ske5gU#aJJm=rURk|LlqH_8Q56N33R*{t zWRdDC+G3g~Q%}9AXvK$B2RYCLSTIOJnSVjeB*VD(b;o{{qO?4n#Tdj_)c#UG(0RfGnA2 z@_q#}Nwx&1kvI&(;w~=q1!Jt@9ZKw2moX~7 zxNq$#*oYk>`0!S(sVt0}*{U_sD13YCcXyqvCN6&K#to7dknQGDd*sod(HZ z(0Y`t?HgBgKt+?CGs#~L#8j7Mq5!&~c5Vbr z6*Q$37z6+|fO5xWJ^);&PS$Kms@@K_sna$|z=_M&lO21Ej2x1N#n{Hpb$k~>|FJ!S z!6>igF?B}l|Mrms(R?FQ7s~l|K5jE+WM!87S+WiA$XPbNN^bA7%U$S=OBbPgH^{4+ z-_Z8{IT8qcg{kCL8~IXAszh~IuLTCvr7~*Sa1FA27JWx)7tdIE1EmjWj~mMXyW<3qqF+)cZ&5pi`#jd#LtRUPKU7K-7KA}rDVRE zrEzq02x}~K@TLeE%3go93E*qz1UYc&Gd!n?I)=KAt#|#a$QNx*W88xFwJCScF()Z$ zG)OmE&jfn|_yCmi92`9&4Q$)S$)`ijORi(scL)2ANeAmRjzBFT{bIkZqO4F;r#WQw ztJ0^NY!c7oN92iJB^in>JH#bKfme~v0rzuIK~jBL`RbfJ#u&?!Yy^P`##{vI6Y7y( zHMIf`&H5Pyp})HM1ix3!Cio3V4W9Tokur(ODJOj-ZIC07AKc$PSiv+AK1;bQx3m#DMX2`&C(`ad zCms1rpeDEgH}-e;O$hiN%dLZ#`Uda$_8I@LX$_=E?;f;h&3=FP;74x_DoP)=XpI;| zKSpa9KT1iBK_N)aceDymA&S(?Iap@RJi`^nMf2m8riUK@LJA;~13l5fpLsm8T*1!i zh*mEA9a&{JBMjl@C4M}*n~}K^y6v%G%#@@XhD+v9)92em2Qq@p*)A7=hwX0oJ@4fyazAdw7XcGf} zjJlE|uoCCSVYvCEU`OtE>a@4MH6aMmgbp~A)h4_2V_6dDA^~qmnAl#>x`3=j;IKE8PqH{di}<2Lic#7}e~DFk zswRWCB5)m~ui~9`7U14=e55g8WYrWAu|R!4W!NaTp3&2OV@&F|tLeyG{QEJb0m1So|$J$$i_XVEXz!#hDNsK1LH!BOt$0I+ms zfnu)E98Fv30v0V`GlHrvgl2*C;f5B2N&$mh_5f3+UER z#Xk}5i>#PM^V=l|3QXeV@>YF)Si*cV<1p{O)4!d<^7xvJPn%TYc~ES+Arnj!e%45D z$^^Z4UUHtF3S9Al-SM$0qHvC)wI#l|xJQa&)O9mEVe$Oe=yaArF|PF}LT1$h7H~tZ zrwvs68syV&qn~eX>)%n=D6QO9HJX&p$JWlUewfu}IbLsKy{QFY2XRq`q#8=8mXkB+ zNNc+Qw4Z&HKfGDbvYauvZR^-_M%`DzLT%@2B_E#Pq&g9kO3Wk56y8ww0xEz^W-h(nJ~7@l}C2pq0$Cpj&+ubx9YL#jhF@9q}XAufdSL6ITr;byCRkpd=Kf z4v9KSSr;WN$_xX@6%;oC^+T;{6QlQ#o|ePe;opEET_Ve|YgmDVD$)K}4T5LUzIG$J ztUEZCk-8>ZB7LOO9L=<2bC}eZEVTiW5jX2{%`k}&0|etiBEDktQ@=<*a4o$ib`TD% zvV)GlVMCzc?r*ihl)Kx4k0}@E47eziK){2RtDPm0rv^hhJvccz=(H!9cZO0&vjof$wF)IO5rS854^KUC+b zuYBuMt^eEur;ak{8Aw#QNA?2Y>G@MN9Vdq(#lbxV%gh|!tbXjq?2E>D!L};?ewb$7 zCoZX9T5A8xIJ&{)CIARyAi#PGaVh*urKJ#8K!??lw?*3X)>(E%NjEL2imG>A%29HM za9|7eG!tY#8pg0DhG#!d?k~^%l?=qg3SaqZWqj1$V#4y5V z)f7z&^UZKO6+)r7Asb60f#h%sLW7Pqf~aAg>NF-HIo5);4=nous12w9TR^10B4KOZ z({hA2@%#!UNz`u6SkTUm+H;70@*ly$YB&oje6N-aA&Ah?alH1#8b}Kyp__(5*9$~u zV$#@FjFNeVL6mA;y<`(L*7nH;B8$rYXpvKGDzB?_pe4)$3_*z0H&PQ?0>`|P8Hu@( zLHA%lC>{Br!fg@GHoO;bzT0ol(=9V#tRokbc9Cu7Z9Sx8FKVM2ydwAQLY3#GR5S%m zZk44j0vz~f1Xgz`Ib%J`vkgKhb$t~lEG&Z~hX@5Z8vLmcRXXjg-(|pTYQJn6qFhKR{byGL-h+xkQ05J zRJ_TK?i*b7s0ZY*`LCZmh!9F`ox}dg9whR-Q~eL-agZ9SJdSF(m&C~+potz&$-woP zq#oLyal8Tn=$gH%oYsjo^Mem>!Bx7B+9_dZ#dt(`tXLmi@}-!*filHVyno}0Sqf$V ze2lDC#h&sgIqm{CV=(d3BnT6p2TSYDvuVcMptqLi?mM-mCbzu@cIe&Lgyd7Ugfc~O z8IY4rH^`3mFMd1XoAtXicFJgzl9{ZbF-QcGZ+IVVYX;uTl7tepbQ%c8mhf^E=NRu> z5T6Hc{$xx;`@fpqs;!~8RffpIm=L@D{r-?5e!CHC+dzgGue!RbYvAl#&ksIS%kGr72UEv4zJeH!uj`%S9zZB);|1IXYiozvC9r6OQnms$p}}r1sE`pG z`xx#4zFo-p@QFSlWh^SbU!+k_WW&N`(CLs)dflih#XLyhPM83>3nelRBnBWSU9dIK z)kmrVUVFWncoZ^`zO4F#5DsKy>3GQ`f#d^K5TOCCjbMn*bWrnAebb)Vpo4Yj>rIs` zlW82R9DLa$8h0MlpcBjEp9=-5US9vmj~rI|jMT zimnS4pXv1c;!Sj!t3j*|*;kIe@f%MZSYcPLM@!VATk_p@I-c-iB@YzGO$!@7U(NXa~%ys>NlZOepM^J zXb}Q@`j}IIp&ETbZ2>g z9_{t#$r@G(@)}B8ddJ3`D&!#zv?Kxl55VJ(hn2CAAf^s9QR|{GGH}P_Gmck43X{sr zUa3mj9~^ihz(T%Bn#q{K%8rBzSAX~LIQnUHcmV%7j(!Uk{hq>hntH)h5yRjs9m$%bR_$KjrOgrXO_HJ2@lC^?!)TSRX+jx&;5&2X zOk#;{A~gp8Lhb3fgj%a2l)Vo|ZK}Te(kX=uV1r+GsESKVnCKo8EL0O6CP`(8ChDT0 z*D0Ksf!gNipk+WJoP5@+2g}Lc;d>AOB3C{#SR3d$iYZgT&D8M)6U_-;r`b@-FuM@C zj*mM*@tt_gx}2Iczbw+;2|~w(<~aCH9Mm|ZC)uw}snM#nB1<`}MguD=<{3oaW$98I z^kp_08W(qe=Hu=1o1umM-IM72#c39gW;#vQCc*ey z_0hih%ug!*HtK$+z7mWdgQM#pON?6DxG_ucyK-reh`xrOGk(gZ{6+(1ME9eUlc<}m zoy1xjaU(Jt>JthvaYpTSYN8b@ym~Wa!ce>0@VF|q_nn*8>!tJ>7dR>5;YB_!R8%^i z#T&Ih+(x5xKHmV*#X#*Vn&i&?X(#$FQqy~ZQt|r@dAwhSb9n7d+6k&PaFZ1nt}wjw zXmE6FLW7MesxZdCB5vKc%&qHjPwl~%9bkcX|JRep15a%amkJjg|9A+g#{ng7g?qXm zntSfdK?q%8|&nv$b6t1A}5tCDC`Kl&UHQ+ zd-X{o2pIGDQZ(h0#VX6;L47Z{Ju)bkxZbN@n{-`~tOSlm{9X7MDK_5@ zF)p{FXGAsQh*+Spu@*;DS!bsZhh2Bp2MLLb+sRVxj60z96cyP9U@!69oQ6uv4JCcZ ziWwp0gp(0j(~ku8GVSBS9;3su3^t#ruFfTABOmK(R3MR}3C>`e2^Cw!N|X(K+$P;D zlv6L8*5La8Sy`deu9^X@PTvbuj^Uku`WEp}xBPf()y%k>6e{4WYEDSfj?fYnk7PgO zD#NF&S2P-Y5fagfu5B8r9PY#$@p138@jzK;-Y_5YC&QfIxY!)l-t!?So<6_5YbZS z&%~Fwv0uFBU6vjV684eB1?$k2DrDa2wbe0p{Yb9Ssqsy`NlJPV|M2JHrqIKd)5c?( zI4?H1_R-}p%9 zEn5wO+HtOJuqfY5N0vlB4uaat3ms>$5CA}qB*7V8;*DfvZ{?H@=KHEc$1^-!JY&To zXLe5}%3fG3)PHW(|EmSk0n90=c7;-a2{crKL6?9_IE}-|ahcM3nBJLSTg zFClI~-vZBQcmFC%zOQu1vo=)tPTvI=K$9x=lM&tm^}#v%dtaju=^RD&bnWj{#q%9i zj{4t`vF-F{7^V4o=6@T!2;T)zuS~BYX=*L*q=I)M^#B%P z@`T7+ljMtrE<=)td_k03kJx8`t<&qOI(h*3>r$A>NX;k{mSA6WzvUdU%IZi=#AMfG z1JkFK$WwUj3JVZ_l4EI-#O3jf7au&H)gamL@2c@Uhz8N?WRz3-fU|SqbX5dt8b;HBq!3htoqoE!t$NP8*Hodw|yZbMR=vqk6T1SUG zvc$Z0g_5}h(TlU7g82)f+1kWrp3e@IG&(B-y;Aa=tAa+s3fu*Su7@$G)9TliD1rB`46-9P@Z1jPJY z+Ru8Kp$Xt^el*`HpAGRZu_iuqZR~wV3Jj8)E4&l~Ltc=K(xJmf*Af!x6 zHJRwF&qv}tWU|i810}G}L@Gz0V799^@Ma?E+9h#cB#kf3pjvv>5?h~0ZenZ8r=G5i z@De4kla*PqaI7;xTZ02X2b5j51gdHN^#@*kPK_LV^Yq>cZRdbl?$De`yl&2cocJAY=Y1cCMgp*yIYD#G9 z1vf2~P4kk5(nV6pN;`$GH>v|F;TNS4z59xgt|q7*wyqJexF)5=mew!H-wX}R?=fl` zO30v%jV5)LI8bUnV7KR>)=0K_Y?yOw@X0Fm{c3|Zd=+V>v2jjpDl5qE!% zQe@%KvV%tHJV9a|faL-zokNtoGvbzhrcCGTI&Mx(w-XJAa%mu_ z;-%^YNJ~()t+R19w@KZ_BATx9f+)ooaWwb<=leSBDg!`?@dXFVXRCx2V9n)d6fY;? zMpTgmCDT~VgY^$l_w3UjdV)1g7n)X6wi$DGcQ;zhexNYSG5uj84{8pNwRkc`@Xq27 z=|YW2NCqK<#v(<=)F>D3zWR1UzQQP7QsgQG{<0n><3mlanZ?pufN8yOKgm^w2h7TL}$TYjI3b z&LL#|2pYX63N95GHec_*P!&hW(a#S(s>Jdbvvai3QZIP=(S_UOq2kO(XVO(QNe zkY8$aC(gGQ#JR~Tv?YXZEbv&3C>ZO%nZU~B1jL)g%0y(&DcNV^ zCrRmG4U*6cIEKWPefVQc7XhPz$~72>fGYob(##W^;!0Z=@uQ_|_u3!fA#lp)vo zY|(IUztcj=Z4J23s6G8Tk5PQAq4c}o*Qb#+4CczzP$P50qyYK>GxOIW&#*Q6x?ls% zlpXD{xI)%FW)57Zz?YvHdr{x-k9Z)a49{HglWmR#;Bg&lRs)uLNkUspi6xk&pgnL} z$u?_quVln4)&P@(eOXz(x*kVCfZn03TH^63h<9b$Wo(`(XwJNOp+eBgFnacv^bs@4 zY4Mgp+ztJ8L!Pz@U1q-cPnIbCScBRho2S6UV< zuoT60P`RoD8UHH5Z5Lr+TSeb-zDuL+atUMc8c4L-(q7bKoNal&)!z*`I&J9VY4kZ1 zL#HE0ld#O7jx=+J04LSFU1)*ThP-sU!Yr6&&N)Z!>(&4fCLRx@DVAf4rGmZnxYPq! zSqG!bBF9!lo6#H!U_m9bEZq~u*J{q;3M}>=`$6v2GAg zKR=CLwsdD%M^>3Ejq32+R>D_gQfkzel{;#sby@NCx$6c`dJ_FKI@*O?^&|Mt2_&o^ z9heM#?caKJ58sw;T?gfAXl&@OR>{M`EdyZ z@0SHRn)`ei4O-QKhB?cKl<;}aabcmoXve|nassRxFOqpW9?#O~7fGI}Z~S7OBv;8I zn;RtnJlE3Eh&EmL+k(0z5wI@%?b*A5kCOM?<<$y6Rmga@NFb>geCZ@%Zk^kRXMc76 z+Cj9xQrqx(wvJxoQP#droC?0q1 z+=oYrfgT@zgaLZ@Uu{L-Umwv3@28<{bd2G$0Yu8YT=eT?mX7C%*@Zd(Ip+Cq zLHiF`rvoJWsPBt<71NI7lrc^O&3mwRiUXeNwl+=^BFDFJUP^mr88CRNZ6={ByvWoe zE5PQa5$LpBrE@S(Z!w2_JF~<|->YYSV2eV_01D&8&v%(DnRUmtPI_hYgbG^)j1=>6 zq_xsigNew)&9L>{HK$`*Cr(Z0KW46G$ql5r3{+nz+e-}?l-x{FJtAMGo;U+jp2Nb^ zysXI-&h-`}p=_=O7ilP>DXEj`c4&w=^PHoR&6$>@uaqY+l_|^B&^IY|0v!k%ZpgdJu?EIE4;|Xev<7K2i)I2GZ$(coQ2J}|cBD%Ly z$Vu#rXbMOt<7$@2h4nCo$EYsf3UQ7SKj7m4#Rn+L2!f*Me{yqzj-u}{d1QEW!im-~ zpGEpui0Z^q>RAcJ3fH2+z#wKvoB1@(LH!%a`M_mTakN1GPjmMoou^1Y!jW4*S?dze zpEgd6BZ}Ues=NIm2D2e)SDm^0p4HU~iR#Z`6Lx*e327Kj=h?1eenuQ-8AEBu)n|kl zV+Wgg9DSx<<>yEw{w@bWpx}mR)ppqMG!4k(A5v6mpJEy6V}1xQl@KukjFk$#A3>wH z7oi56m(|%w?P5t*>{te79Ehnc)c`!bc=_gyRPECh;>q(6^g8lHJt(X!M?Koi9?NlJ zi1nQtWxS;95J_|4xHU%KZN3IWD_Jge3ZIag4%7_lAh@g8yZlYPW!1}cn!w7nER@07 zu|nP+)k_7l%L6J2*i@}JFY5Jy7RoqO#)4Y7*YVWsC7|<599bBo91GAq`r&oI(aVf^ zhOmJH53BVKLXCysq=(^4KX!~-g3HKe_mv`~4Ez2|Bf0JbB$-vK(z4UP*XG%?c6Kd4 z89!)l1vHzJiLc4Xyo}vnY}7{?3^7;ez#K?gR)^A%OF@LUO~uSAxwq@ojUefHwzjee z%(6xXB>ZF!@tOqBU4~v+xF6<^d;`(;Z*af1TCbs0weJ){9TNX^Hh2EO z>i@s`@>OjY6Q5XL)qRN+TU?qtDc?=%<6J(lsL6exkKN}X?zOt)s^|@2ON!`X72|O* z?Cx;Z^+el~7Lnv1nOozM07X<+KwFei)$D+x466~1k;mR2 zvTAVQ5@@QCpgJX8b41!H-`$Frk~g#S6T}1yU2zf}E*_0Qvx+Xw^sPzaMuG0ZZbxLm zSg~KB%iF8kaRb`gCX|oVgm%T=ECoaYB%m9$et-XAtg(6`G_1P6dR|vB6(L+y#5bNa zv?VXyp5WCToRw_GZ7ceN`o;h%dOATD-r9^`6IZul!H{EZP8*X zct;Y>9p4(ij6n%>+j8Nr*Qe3T&8j8^Rabt$;z{bNp^5}05VtMf2q)I`OJyQqP0=Ei zu&U&{&wkCC0cxn*qah;z&FRMyTn9~h^!xsvo-4@L|9ghgm<6|;MYV7M%o@J@L!z4O zcqn%dEqKc`W?)1J51m6?NqyR$2`l-!L&v#gvc8Sj#j66Q=q^mr1!!Wjx@jwJno)P7kS)wkY9MH{ z-_9~CaLZLqwre&n z_~#pc2KSrKG~-R4BVLpjG_M79)dm-h_C_D9n6>o7k8m7u48I3hcr+ON(pwmG?kjih zbELS`M~cB-gf6H-9UuRO6xfiSUMr*p(nyTqZJquUCm{%A1#7?HLy1SDf#$B+6j9j1 z!=YEK(*=PO%y#|7g?Yg5(nhQAZxfsLgwY_0%bgv_pAS1cnH`u1>t`W2ljSuJFnbE} z_w%agKo=PDuX-f{_>}nH1EtEq!%JT^T~<-W?oK4IFPXO?P=g+!ufjC$;E7C@B`V2R zNaSv)-9+F7tdrrM;B2QyDzba94(PA{{^m3Ie#ywb($xxu?LvF?5O@ zP;y2t!s(?B3Hb(_$luGAl*_dNfX@?+B~XVc$HVVGcK4zY?TQXnbGj>et6>)#Ao?jR z3Dzn#9K;umYqX496(qGT4%Z3c8Z;^FO91196mW6DW?rDMy!KXF%GMM-lsTTkrn2+l zrcj0}xPdTHUqxMz)7k57$1Jo}N_P-1Tg_Qj3LH4!(uK#GiHO-l zxHa7Udo5}B9L_w88mZwgO6F=aN-LCM^^X_0`A>2_AyDIO) zuaP4WxEu(k!bZod4o#?5_%fR0gV2xhpE^au*D!DBD_2XiDX;YIKl->8K=Os!lzC%* zm(J6bntcH3o2s+&y54U*vQMtelYLF$9mIvRgd+dd`GRll*xUuJfVxGi9Fgj9n{Kk) z(lORF=qtGIM{Z4tGOM9Y4k^~-wGH@AK+iO`O|#+TP2q%-VWS=CjWh;X!j8$COEKqP zFDVYL28C_l?qot5X?S6IyMWP;38KJ7IkFAt^y*qnwynos<#(RE322)h*h@OxSzoDh z*F$T)`%fIlhQywQ)+!&_G(p~ES(<8 zAi)P|f=Go?i&>x8DjHEoopAX1~Ak?$JNgu0+rnJ$#2G0hX%7>}hB%msn|f%7&B zMj5K&!U)|PpSgKlYg2(ilIA7T-&c@&FaD0=g=T`+XAX6yv0{u1>xZ+yYl5Gr2hjp@ z@9-b=Yp>xz1BE}0I=3jfRNNNpWFaFvF)%FIH=_}sZE`YBtYJylN@82-lFUPyiGR1L z6_>4JCHvy(#nb4s6?AuXN@W?w?4){DD)vytfqZShKw7~Hq^;GZ(tepU$+6{4;+J9J z9(BmoI3n{ZUi*2Vbc+Uuv(Bw_UCvye07VI+G&fcBqNKF!6P!BXxdu;M zq9_Mvcv@^SWPz#?r$(5_1l7;>Jm#85$|F9|RhnGl1Mu5&F7aK41Fx)S?GCM(t)KO4AwK)eWZ#8yA3rBAM2Hd z)$fEZj7prCtW9bQo8^T3T;8!_vj$6Nl5E*}!$P@2+!cB=9m1-+zhVMAs+B*9fE|Of z_ktWN(gT(YRx5DA(4(BA>M?1?oNfg?NQRtJ1k2%fF2EnsQVB;MX)T^-Jk#4G5EwE5gusQiP=1e>0=J?h+~24H$^7l%*Ol{a7NJ{sqs z(wLHGsH&sPP0g*+eL_gAMK-}tC}Kh5Ri?}b-6_RpwVL17)Q!JCyjrZa(6s`mrkHykYqY2m?IfBs&7euU_y0VD*^dqwfB;o@!6J@QJA2Mfqc;|z#)y5JB*RH5 zbuzaW#Q3G=j-cpPht98L|BHiDC+bR`JILf$8~rhP-yOwhfjD0!Ys^GdchI4^E~is^WlJK#`bU>)KhMUqr2aS_%&T(31x2#% zk8b+_?56?crQ~B~N%1uL1QML!uC(w~KAEflgF|7Iyc|J>P(=;6eag5~Q-9s@()850 z|4(t;8z*ulhrui>%sDxvL1jGO)*tP%9!od2y+;kK(+#AoVVX(4nd9op=XxE$a0d0) zPk$M8|CBi?ehqzvu#}zXm+)^Aiez%?Kc$fl>oSWU`6acpyz<43MunpgRrU7P`Ck3@ z_MSiNw|9~cLkt5bF~Dm;NR10(N3@9K+0A4di2y94oy1ruSUZR=lGU1ZsZNHdYI654 zlpMWsnUw2Xd%7|;O%SJn+%<*otI+|fMLhQ*T>L~u&Q&nQ|6-n9$5#UV#*~@u+Hjft zn62P8OtQ^Lw80XUtK~^lUpUD`{E%*hw|o&-B;}VqxR2`E=XB7ox`m7M15gQ7G!GjF z71XrRDdERz>0OE^IUom3*BhA{=jmI&jF)POP^*>@Dn$?wDVUc0TIgRC_ZASBEw+*k z4|AblIUMiw9lGK*n*C>0;WlWkUHe3lu)5;vm^90uqg}$W&I=7w8){R?bf&&7tS1|f zXahf;t7UH;Lu_?SS6;yPD`v_ho2#`qjb)yg8?eI_(MgaHZv=}B^`~mcG*?|}anTTH z9L>>-QD&Z!D`uI#r!3`bZV7zG#=cCJxf*50vsLmKZYJo)pxdC3b$KwExF7opML85a&%M3jr1XKrCYpJZ6Pzn!?6wjL7n|eiVTlhjng zWdxQShdZQAWinCo0hLWW{ZGuxT)|OrB1|tTuv6GHTo01zC0iKC6fIwcM9B#>#?xJp zt2%i)IFjKU{mk%pH^be*-pP)Aa*r+zjsp3(Rk^s~K8ez0H7p=J?sbW3=zssD% zS!WPMBAlQ}4N<1G!;z%Dq8=|&EMcswFOm;FSpAbSkh~^O!#nfqk@B@Y@9RsNMuSkD z4TM-|(&TDcbTF!pWTZx%wkXM9S1SwK5;tmYugU`wBrmQ;+;A`Yj&qpR2pbrR!{mnO z$EKS+;CQdVXUY}TfQsg~j_(9n8U|u-cCKFxq(bKUeACziHoyj-293f zyX>!YK3jyr&1?UZ5BkFL&;p_Qw3<~sz5*f;@CgzQaD1h43ur!v27cJiCKO#M8E2(d zU(l0`P~lvEDb=-V5PbQhQfKt+?AfbVM#2-$3NiV-^*IC2x;XY(;8ws3pG6^Y(eu{A zqLnP3C3Vr~nhDfOhRS(?5;^9VdP<4G09<5);n0%@J#Qrq8d4Q;^+DfRNJ*I_wWZ`I zba)&AWt_S;JgERs`etwtLg|CEeSOaWq|=wT_Z%_%(0_Y`hx~(WIb=&4P7UIgL~I9# z+bVCmqN`go$KsWp?Y*&rHc8nhonECrYFbvcMcl5(Gr_kBMJKqc63q*HBMPq9A$bb} z6KaFwE!NotkF8zg^4c253%BW&XiM?gHeg=gBis55p*(Q?2MP(-;^7~rgb{kesEy^+ zf&D6!GeL^AdYe@T?Qv2xkR8Y!+df)KF4WtRsJp&gPL?vz4%@keTLbZJiSm#kd@P8ljKo{!*2-_GjYBUZTK?(WdA z1&xv*oR^mu{5`CkqFXKlXSXCSfgL(c zVb_Eh^JZZv|3p)4q;W#>koe3hzUmmAwRoP1+;mP03keG8m$R8*hMynF^kgQPL(zV) zzZ>lxl8JKnmgwIsk%Skd}^g>%VrbR?z`14Xg2RB?{aqTjhD#j|kgwwNTxOsl@V7&J^#R=kBeoC%?d@ox%jMBS1?eSs!Na6!Smt4^ZkLz?PM-taOM+z+a(co^{Bs)XGne zNuM%G9z-quv`f;1)#A3L@AJk*ESwTLz~#Gy=E-upo>d8P@tZko43A@0Ip?9gSUd-Q z@+yy8=?Q?A{hH6869jKiy0w%D5!)i1*peGJ5^=<+emTW?v7D&IhMYMITbvbe32ENuKn+txQ zXX=~~bzi@I-wTwyRa>_#-;7KaodBdf(u4T}wt{czA;V>DUnfwx^O|kgp8nmBT6jga za!_b;7mO{Gy()f$BJ4}44-N2#t2mph=hdkDhn#@OOM_a_B@R z-zeOVO-N#J*RHc0^Il_3B7#Q?B-cm^Fad!^J479Ff%lz?ozxzfHQRce=4qm=g`S)JXdi%L{K(+s z~oy=nMb`qe~|OQz~CQFDsw} zrDgD;BgG`07OmgBMA08AO^vhvg_n`o2EB~pc0l%1pOdsISx}ejrABK!f;OtFSQUtR zgyg!M-G2tip8{zur>u<5l6GW{X=kN#faUiiZ8>}%G^plMY61M)RT2w$)<*hAL*qwU z+IBV>)Xx}vw$XTa43V=->)+a5u?qXsleTb7$Unxx5rS^2p`k@ZJ%4-9?E;@3C4=5( zSJ6d0n#GY*k_S$y=C`F)Rz7Lj7vMAI*PMpkRYrxHdTJYe2C^gxdRAV-P_^I7n{D)b zEVbD5kaerPc&U!A7wW7t*#M~ZC1?^TGvd8-^?ja>)K#ckU0-Ihc#W-sp*CKJnf~ZE zvA{WPu&b=>0RfnsBWw#jKHcH&?ukdbZBoZ!Sp`W2$W_eN%)VW!F2?-@%5lcTKl7w6 z%Y$cX*d1a{0z$f1Nc`1G%+*+gsyB>FpMjoBh;u;Nyj&sA#GaVrHZk%U%O%PKrxT_-@2V5bais#l zO0CbTlXSj~va7BWSWJx+k{BmYP(>Y}>GvpgKtTWu_;uX-^5iD8&S46L{-`*8tIq)$ zP|3jI?mA6V1RBfWqD*!~%q0?uOn4>ZIg3Sn`R2`=sC(Qe2EZNwlkrdhDwC$3p<4R3 zsz>8#wykI{-?AcQ!{^)8vl$#du-}j|rmu==Q`G~zZmYT;)_Yr2b$~sXUO%Y+4x%?- zM&13|YM}SFs3zEVZR&xZ+oGOOzqP3b95CDTnmUH9XZNV*V9R>a%X?LGxLq|x`eD0j z?*2wVq%FwvXp@&hyxOiZ-ZGG9OGw}{L}{7n4XfBd=&Fc1-643_91UO|c3|ix;|)3) zSlyAb^nZ6V9Gnc?rFT} zI?lcstC$;R3p$x=(+gi$yab=AaRL~Pu@)`E&u$*##@I%Po{`;%sG=+vy;a{Xo-tcC zOg{CawCwJme4<%pnU>`|NGcl(mwBvXj#-@328&UySu3FySsZB{RGV^`s+lQ(}F9< z`Ccd~!rqbzmj{0t*{j0IfiUDhkYAw=lZDk^+fp}0xIe6~Wi5L~9)AA-yKh=ZJxuz3dbH)F#0I=yNfI`18pN7@E>V7B)O*Vu=EC4Ni#n->gLqIQ~~ zhol+9hsZNW$ph-c{|9X$=D`W16P=m{K~=o9GFTT#&7#b)679SImy2UjI=&)Gx@eSK zX5@5QJTQdYfV}n(^xm>q3BMkzF8CoKuZ714RUL9L-_u1N0!UE}&t$1_#K`$t;e0kg z9ggjy{b8Y_C1|vTL8?wu188;&ek@D`i3^CEmZpc@J*qLN6*$B0_lxgl^B%lWcT+?& zf*9V72pX3rQU=X+%?bw&fqmfaa!jlKs9#H5WNC(iKKl@nPen>lG%&bg%kks~c0CPx z&u1bNd}uo$k$UeoLk^^GYo;l(d_oU+&6a6AAr_x{S7al-kJ@PZxWn`v)a9#J{j;m2pGPA8L;LxL1ZWAK4I7ma*< zCrbR#g@313L|)Bg<2vlzg;+$)Gy&R$sGD`LyBp#A-~EM>0)xL*$rQjU$8-I_m}ZtS z-#91XBIJ$0JQj$7fRJvH&P6=XdN=WMyCOz;w)`O}6+xHV6=4aM1J22+5(;1dqj%lm z2JbLQtEjnG+ktoEC#~iv(&JahYxvuvkCnbk2x#CCTu_c-AeUQ^VNTQljRE*SNfs*_ zepGt06uHOvS2T9wc-_Ke3}VC-j4-^fh&Dx1GUsA4jrzc)tKM&uCu*QWSDKRqKa4Tg z05>4pJ!=G33(U59OPucflNRC$Sm#>ydncMh@QncVPhQld8y3UpQwR6q2Us(rpX=^+9GH=V)_IYB7O`lsz-2qJKY zM`Sez=0ZM69xM4(MbH{ZBI|;Yg)H7Dl@1i`yU@yP;q5}4O+~LV$kZ#BPS>@gMvWmL z*WR<-+P!;KcsC_*q=#X&U<25AOo~)IRtIsGx>vS@R6=LURl>rfds~yWLoUwA2?!&p z{~1(#b5pK9(akb~m9FK6Ctd}L>_dV4Qo5c2)iZp=dInI>(5q)i_3S-jJwvEx&#PyT z>e+w9diJ26eXpK)G!ks#4c;_XMMTBV{07S;JIjw9~>LN=!cGU3oJ81 z0~)W3japWtIJ-*Qw2*H<%^=(BK@Gi%m&qbqLt~Gg4+d=-JDNjA(mF*bNsHFL!293h z{a-##zYd-c58E^qZg0`TU#Qz2*sygx-KbSowQcYD;HXX8AiSV1Ai$jrB%7#R)7CS3 z?4^C|^!)?djuQiWwOz|sInp#LYe$)vEt>p}?tg{%Kd`M-Y1BP>KHP27RvMEe)ee-eXsKrt6(t08DUpROH?8J?nQt(`@d)Ha{>NDNVHvs|&H4ny@nnf13 zk4hxGn;q=#HTYi5hhPKlmB8L4&X-T>ZALshD=uONQXKh_qLh5l>@ag|03KC{B_|V@c5@y<~|%e4~VN zgvI5k>og2ZroyYES4+>Yx!p&}`X)&;N*VKS|oL=J$;_*IP7Dg_SEUnZ$xD+!u4b8L`aszrkgjV-v0!&MN; zE$Skw)ty)@T>jZ+2zf0ft)acpAI5U93r<@1m@o1@Q8*qX<4GnCmGVW$Z^ly!!+3ieb|S?;lU9%MNJ7! zhuhVzGelRH52iGvxkT5P{BD1QiaXlDpKj_8C4?-ZzG6p>eTOgwYlJy{Skj|S8#x@vaY-~#}M#mSBF*X?6 z|7~4k#U-n&XOCrxqdi?25$hH!*811~fB*OG?zU?M(IZwy7tHwD9`uyL^+h%JE6~5c z&IVgO6g;QoO@gf-K{<>08$FnO;jCol-fK$?oV(pLT*-M1X3gqNG<^EW8(GIk(KLot zI~q=|SCV}2GJWH6n(t&76_6Vj$)YG>c1qDSf$3S3_^@NAJ*;!dNX+O1iPd3=<|gm6 zip?j5R^w>);KQ@nMw!sgWBXB5&ZCp#{ee!MLd9EHy4_mkD~ZhYxJz-OtMhTI z-z0=j1Ik0#-@%{MY%yL$ zoALeBBhukrN-C~>j-11&A0Wag4ui1|p^aF|xleQ&HW>m6o|^#>a4RfYq6uq;_5l`f zKce?5k?dlT(o-o+GW3~buyIT7M#T)u*XqPWB`Gsa6~+c0ivPIN{Moo)i7 z>FX`R2V4~hK|eGHzv)~gXSf)+^H=trBfgVvv`8}f}K!()K|L~p|GO#RB z9s<)g(7{hK;MJ~!n}%iqQimq|70zv;5miCV~r=MdMF|L?84c$pTMxp`UrE&xF2#imZ&Q9Y})Z|I?TqXMa zGq4w{SL-~{^xkDwK^xAIqA+M>7_DS4^~zC;HCFn%EI1+QyEXC>retvP_@VA6|V^Sv@69ZbnYX=d=O7Z4tu<7Jt1ej!ur$s;GBApY>O0KPyA1rdsZu zX_%KlZw^(4T+cc3j9&X;A6u5$C_~634dvq0(t$9}vpetww|rN#yncB@l?Ts$lA5@z z;%vWNYcMHjgst&1Y^WuU;;CteH8p*m=x_eOLHs^5lA&Ni!QlBETPlwg)^Jh3+-g!+#(kAgxu?%*m7d1SbQSAwjV2)8 z)3C5#uTf%CKPN@*o^%(vd$L)P$32QX-mJ)j9z`B(R%DN{+}&g>6-2JBNW5pWB6oWf zxmhcZd$jVncPnrHMlCMx0NYVbW1!*JoLZY!)w=GUY>=RCVXTwH-JyklSS4kdaz42^ zI#46%=%7VJFfdqZQ1}MQ9lX)mZafj;XqWV$gmTmpOPsu0jeqx)JgW6#ks^;48X}Y8 zs$I-Ob{%`jP1SC8ULMxgoz9r5nrtU==At;vl7B`DnjIzc28+~nCWGSWfHbRsXfa1I zvYioCgQcx6-SpxN15w61=!%4B)HrRF%C$$ha>8)Om0{?yGD{EkmWW%}V?mJvn!QBc z8Bn%UvsMi-GG~==^jE^AG-1vZUD;DW%`Uf0nizos6SDlCq5j#B_0F^b6ue;_O zDGHcP@x$GHB=bZDj0s*E%&I!iZXCKiPj%?>V;#EGc@UKq zu;j6|BbF`XW)!!KhChEKCGLevBrcO41!8zr3VbRBo>dcf2w)24s~u#Pjwb7huWb;m zmEAVAUNjA}`8}e=xPu)|jue&(m6g)3_GEb_Oomb#vVC{*_@CY!4!|>Z(b%3~Q$7ZX zu41xl_||H@MDl1%_{aPRRXrW|+`=!5Y!w?`b(v1&m61zEb~-f8gX!M*q?Ma`fA{!^ z4ruqs2hpXXz?m(h;gxbtl{k>6^i@UAi>pSp=qsoTO8!bY2&NZF-SQ#WFJib^z6^JY z1sa2fQdbSMtOT%JLK7xMAl)*+m25QPRLyYoD_626+gpV@SZ2@ghwT@yx5to} z5oLBBX+#R{TEl2v&7v(MSBDA45nl^diSx?=gG93;%ZL}|%a^CP-2DRz8&R0y$FNz( z9FeT?>o&v%(U61NbB5`~4Vhvwc91T^oV8+a*U^)D}sN&T{tlS_tYz+L;xE{xh3?O^(8EoA)1wvB} zqR|oq3cnm^zLv2sLV1ui^PQ{_zxSeeDdbF4E=Ft=%$YLWJ6<;L8(57rmDgxHE z9pYtWp1M|h4%09M&rQt;o>ZiTVQYFL1<;wVf!3w@DKWIQ9Jqr@eu}4`JiL|%f{lHW zBo^+pR>$+|UO*MqitNdPfLcIk5k?RBg$h1;Nho#GC>8rvznjEiYjtT4edg?}jJX~o zqJ>b9oJ^W>{)otqg3ZLv*3mmvHlJ%yz zO+`=n(VkVoM^0G;tJ~GZkM^vK@-%NXc$Bf(d+^@Gi^;9J^V|4f&uU`W?ekl8<{>`W zrxuX|Qme$r3~iGI(TeRmtHS`k9C0m;RA_EcXJ>jAVrFW?%IW|Phfa(fySGezQcKu* z*p#qyd;(XGRY2T9w>%3mDz!CF$FQEM!>-Tnq;6J4_Q_XN#)9QD1JV??I+P-#|Zw$6YDO% z0cP62(Vk6KWM_6{iqc4!B?{+V9jqITHQ#7IBB$pcKa9RWc&k@c=N9VkcwgRsd0%9o z%&WGVZU8&R5gkCIG!xI-WzkI`VOTJsD0xHeZ4GACEA$)Y>GUFt*YNB9(N--!vT!|O%eXX=L-dg==wU+}#z#kRy4#8Nwg#3z6@OJ#u{Jc({$dHjlYwBF zGBrd#MjBkQvCGxM zQjVEkuZpUmn8+es71KGGab+6Yp_e3obB$+3^rZ_6P%)iq&78?ZoOi6TIZ2_AWI?uR z93V=j(qww*474iaAVplBqxZU~*3&75XObwph7-7KyYyruX`&RI=9fiwX|hUSn*eKz zy|}9R`UJHDL%X`p&a?F@UXZrnH3<(wodz;bY>@r}3l?!aDKZ!obqCDgb;UDUnliht z&er*qAvG212#~^-6%6UeQ0R^doQv1TW z)kDk7SesD|j#05&hjB#eM>BLkSBG^yqP6ARru7qu@5-`7kYjYlv`rdvM`1(y9oNu( zMee=jQO(*@6io(fd`Rr4M<#+k)IP59%qkaBH?wSL*S57)cqe72gq2Zj?R*Ws2!2vb zDg11-eP;H3I}26wP}rzv<>Q=U<_?;hP>y;dd2-I{s-T^WG_5pRZ~Xct?TqjxjpPo; zGPwD@8cCO^?5e3?oIGj{yMV&Zr0{Zm4%?CvE2b3S8dbHG^zE}R1T(z@9F13k&1%cT z4m^g*)eR5QrItrA(YiYYJMiFgzc14|O%1Z6A=)vRjn7Q?N@u>*js(ce#qSHR2mvwl>HE_W3+5q8F4p^Gn2I zU&ChqRf0-ud4$I{6t6_dMgEF6KIxG5CNp7QTNbXg$kyQOD0mUWM5!Oos_Vssjp;b2 zXrlwSG*uZ~jD``NljOYdH493`m?(=izKe5I#yrEUU!%rzA;q7BOIPug+7gFmRWpTqMP>&Q<%D5Tx2*Y43}{}2rwjNX!` z{{Nt*{L38gnSB@$^6#Z#DuDN$yjDZ4)g2S%38wE38H_@to^XP|7%`VfKUi@u4;L;q zd=L$;2WX_Jh}X>WBpqJEl~@g#W6JRrqo?xOV!CG}YnugJO)#d;@4B@;d? z3n`}pWHHrN8P^kQCIuBzlR_6W2LToR{2Fsqv__sWVT z3L#GPG(MljRKZjD4;1bc<|Va2_u_~dF`@5yOvKESi9^2?Y>cI);9U1kja9PRnOwtX zz0wRu>&hr!;K4<~?H!QdBl5y0wyA65^+`?}tm3EBgY|1_3-r@ZUp~X@Q^06)gA# z8x2=+c7fU`@Y(KelBM3F9o<3P8c1Jv{3O=(EnD*$!BH8(?b>rncrkiQIp;d3a<7c_ zk5Vmp?kB0k`pQQ|@#%(g)g9zzOrAJ2mqbTE1*}VU^)QmwWUZ_9f}lk(>bU?qrKUDZ5YvpOTlbhk4cW}57@0n&9BbGOud_)cApNpUMI1zUpXhXze z8=hp@$}+@X&pIf-=$Qsksn%z4`M*BiocpW2hMV6KIE0hL6~X{1vUEocl$4T@vPuEM4Qey+i7Njy+1GXlWMJU!LQQKD~%vQDWgxD=a zj+KjZYElfY(3F#W_YM!8hALs6Y^^AQAH5Dz$1Ol7b-Jh z^am7`b_1{`$V>(d1{(2JT==dmBNl(81D;8abm#}{!PaJ06YqdM<{R=(*4PGoPgWPb z!0G9Or%xYP+4t~i{O#5_vSTZEQlu#jyl6b$wr6?WX0<*pJz|cpwn@bY=3ayWn+(6l zb=7W;ioxG(mAZx)LZh`|sVz;%!jywjqr_N~wK-e=&U$xrI09?>GFhbfhsNt_V&YDN z6F;A@ed_gO0Tt{fqu1%8fHg3G!+&PUo9Gp$-_hl>y*!>4&EKz_ot*C%4M8yu1H{E* z*^^g6-)SqzxDsEF+!TL2VoboyxbUbLF?sl4JEH&ap$q?csD6Wg(E0BlrzM`#^QNmt z%{16C&e2d2mT0-X7ARmm0=?oUaISjR55-`t?Yby0n3$Eg)~0wz%Yls;ZV6BatA8>t zGBMKRxh);mP<84ldChU14E6+qW8zO*%fzyxoRZN6i6#&;V`x_NMKLWY(7uC?Lzu^i zvXlH|*kqA2Ml*(R3IrvP8K-NPDDnHu3S$USxz3c{|z`U9!>u}p~FYT;)%)>_qEGnW#iPUb_5zC*%*ZO@6wWfm89qMl}-;=t(2eX;BWHO znHV0gusaXI{4hin`WCA|I=NYC(%CFaxKLa(=Sh5dEq`_?LQ6=vSXXw{T`UyJUTrw; zC+L+Tq3z8|T);dk^i<}*m@bplrI}L|%dW>{g9))01x4E7KXtvxRWhARife-^~D6;YF=D*dW6pq-lW5A4{3nXDsj>W)H(COE9+YZD z89ut|fEB0_(!y;0mEgWvg@h#BpU5xTUb!bJ7zk`yt zlIq{wtrn_$_yi}>%A2-$03;z9HKe5INi{yfk=~q*epa1Yvbs6HyVz2Mt6F4&Nc^ycL?k@5}hVF zY(*C=dd)w*B=zeS_C6Z~Wp*nVTiEkZjKXA>JNk*1EJHS-Q{(>hLP0!{T?qPJ_;4;( z-!>vQD_G^KvxHSU3ePhyi9i`Fglqct%1BcavN)$Y>0jpv8=8R0eE}6HR{|XEWnA&w zG&~DbqvAwR*fjZ>4)qwRMP?Fmf2z{dbFd)HiYtz8qgM~lQqH=r@3eejD=rzSR&+#D z-*=WUd6oiM^P$!&&0{PC%Py@X1y;#hYKO>KnPB`JCNUJPNzY35dOUQn&Sii*j_=jL zYkXxqS6tEZEg|5rm@>FO>hspVp6SjS44UbDm1lGS|8L&oQ%77<-$*InM&CS2Go)Fi8@`1F>l@$C`R(TZL{EyGWoO!yi2v*#A`7VI z%X4Xi$>YYKA^90RA~ep&Cin4|FQd|d_;W4q zh^n;@V%AcI*hfmDS>aYw;-75X(OC*zHgo(9X+!438H+MlPBh7uAsrm-ALH#0zj$6V zK6SH4t<4_YO|!o{!{3BZfUM!_F4{hBZTt9c+CHY=_&mrzb~Szf_@uMxd#z31+q~)7 zclc+vo?cuV%E`NE>3(ZV_xrRo*fzHZoh{w%o(>1CEj{SdQuSpKQrwg@#g!^UPsLrg z`LMOkhke>yWY>!&7 zPhVM|mY%e>^rTNq&r7nDGn5S11z8gU4bspW_tw)w5ln`gPriX3%@3`;d-NO8D(T-2 zcJ?-$DSbLHYVE-2*7N$EjP|&-vAy=a@nKUfx7)7!G<&bL*}e9>!;_X~zmu`vZ*6q1 z?eDlYW8YO{4_X_0aNE!D7A8=S#vZmd_HgsXxn(1~i}oJ1wzt>TcXZG)eQ#&M^=SBU zYr{9)1>dekH&cp!TZD4z1gc$n81x&$0rUZ#J=-E-#wGiNLxr3hZ=_Z2GdH?hci7pw zL$I}I$i74jmgVp(Vs<5OjZUEz$$!YHvib?;t9LPane!bR9QRPKl6_DF4*Ecz~~f=3qI8`K^{$xv=Q|-6O`3`p$+cNiy~4H zKJDbGqKmwkUch^cV4g&LnZqxafqw8uXbbenE0!w0eDXLNjSt$@^a6oJC!%Qgvv)+1 zSwFq#0GGu0CC?!!@xc#OWYI&wAAGpG>k!j!N4qX7t(|7|v1WI!v55pJnx=#@BDBZ0 za#9Z(hwSE`e!qvlx@5NovC8DLK(9yi*v=QO%V~SmP19PYtCvb!D}XVH6^T;Y01f=f zdC5}3mGB$Z8n^AGyaXawf(vJtGG>c=dfFjJl;onbnYxnhadkiB-ZLtX%D^bGA=6j0Zb#fw4>++ zzHiw23nJa@0IUmPiv?I$QfdxB7`0YVCQSo;+TrRSjFC&26n;OzJ%#1g2DtX(>b_30 z!5u5E{pn8acW-0GIHQr4wCAQ3f48%QMn|_-fS0Pz?bJfp_ksfOXFi#f=CyeN+ZW}9 z3ds~2yEU=)8bY@#vx0I;IyB#b7pkBh7* z<5^*buth0;z2uJr3TL0avnf;f+wQys!cC+Vb8=YJ`uE>+X;GTv)j=Wa+5*-jbm!zv z*nvVs;Cb>$o6tW5gn0x&p!Uep%C+rccJy#^#un!!VukN!T)z=rab9b@TvmN@HKhLm zP4!Spg}X=ApS}4@?=wT^G;tvUHPggo7~s7+4bk6hyI(?DPSC)cQflw3tDCUq5O8v0UO zxqa54uziVuZNx7%tZ^>17zw!(#ShGje-K%SE7AeVY;^)GWmCc>^2#Ezzx9V~n;^6R zSzELfIc$BaH^2Y>ZR5n4L7&XlS<;gCaPCkpS_jorR2a5~b31xkA7Z%4M2#zWjAqR$ z8XXL7nP-FTsc)jz_F2o1QAgvBeQ}?lVS6S+#&EVV)WGmL+bg5WP!oO`<$ZGRwf1O> z{li6NdkzN2c5w5A5R0=)lfkWWUd$ji;jap?Mw_8zGIM0_?6p;Pfbuw}6qH%F|xHX5mFM{@?jOS?dOB$cm$8S0N)0#H}Hj%1+Q~etOKfnO=h5<2H2(d&e}XJ+nt$-nDazV@5+M(GQEG%yBQi-2fbIIsn||@2`)?Z{Nq` zA9^28-oB3~Kkz=XHs4$IakTqG@8jt0`#Acc_i_C8eH{OA`*`ysc7mqUkO5ceY%PY9F$H4euw z>~~Dc<4!_?YWcQAg*4VT{63esUy6eR4N(faRddY6S`|y>l(D(a94gw`dKznT6*zIN z)=d0DmY08!+zxTXbi^;_G5Ql{(Hwq)Gx8jHMI%bK1B3m1Rpcxj@o(Sjg@$)HS4C+X zCR_^_DP6BQAp4M#hRd@E0(+E&#GnUthSN&8LlsGs{jVjeN?cpNbag#rs@2x3dJKS zMo-Nf*Id`gS4e?XqTZ$w8%`EqzVroccRou}E1($5U%@6Df~h5X#oaIzM1I?%am z_~_(#ymP$Q6Sb{$tL?loEjfrMZz%Pd(ze!_WSZlj9cJz1f44e~``(El9jt1J1ofRM zx4|LZBe5_?bTzPi-hK{mC!QtQa-PP~lkA%4#atp-IX$(}T=Y$)^3!?I?bOgA#So?X z^VQC0J6{ZH#GaN!OdtLmHGdkT$v6L)<0JYCokF(sp_4RG7tAsi&p=p=RHBQm#i)}5 z#FZNh3p`FduoKwes$36~5%h4}eElOeuh!XhG};e%lb$urU7x}vQXj10F<}l9%Mx4=X{Bz$zCS{SoNos}g&wUGNjn7LNL+aWGs(Bws699a zQ>rkgo?sAOob+9uX=)}LCpP)I8UeZDN0prS?2dwtdxXqG2Z2DL6+Nt~CM{~)Q9P6o zYOqs-P_1rQgOGpW^leH#E>lrtut?@{q~VsQ@;pE8lkL;4rHn#0O+12Cu&j_4 zSlva?lX=mg8^C;8^&qXZk1-|4S0-SLx4N5 zTQirJF^u@Kn89#e6qnaz$fddB5V9!TLkmhHXG~S94cz|VwDX$KQBm}) zrgNZ}qL>1Z)kd8Vs;iB<1D2LnwZac4y1mWnb4Rwk+?zjmuOFqFaa17$5wTo!0uMgdxR1tj^Bgm>@@5=^rg8tmOGCLo&d!V@{~>zW+@+tw>_WBsP9gyZC2MK8vhdIxQW7+l!JC z5^noaN;PhOf5BDf7%IqjnOQ9fu%K2ABDL5DypBKlrO3KYZexQ4ltxsY-Bk{{yXmd9 zFEsa*!@YM`slEO;*D8b|?Mx*0<9LHzPcI^p|L*;_V#9MmEDU}O^WpJ|tGpCVoOp40 z5$6?@HEQC-dn-D;wslOiwb$kmzgI?3;xm7)g=UQJo2iO7~L%I;NB1z%bv zs_8()Ycj3TFwqv3#d-$|vNUr8syqEoOcOk$y=EL_`(0ju75~_xS+=gsZU=io9?j#j zOrd?Vt!SOoUd9c(`7a#@!3#g`B}0-sk+xW5J}PH{Z(@XQHl@D2sovaWm+MLj_a3J$H_Kx z+rdQ^L6s3Hya!UWNng?)ZqJkS&|>K zF$DJWWtvdZ4scZIOFT#LeU!pq*_Q<0Y>HXcXuvP?4uIIQNF$w3>k>PM^{xDp$T+^n4% z)&L`eJMO)$ia@aK@Rx3Fti%<@T+Q15k5WF1f{#6uGM>b53LD2Ol#*?EK=FE2EQ(2* z;aMbKpT%@+EIkbiwN^-(mkF39S+ZFdoNS?@ERiXf*wPZTy5{tz3Tz#BkgvicRw?CYY)) z4D(Z+C;JKfdmfV{v6Llt1ko@xRjV%ds@^^j@afp+3X=w)0t}oo;>(n9_0d<*RBR#3 zi%R2F!*P{#8%`T)LLS!aT6}2h5@9us{h)VCaGpEr30f}LjR|xkPm?Sf8Q~{!Bq@ib z?ObwI5(U2GPLgg^gOv3nqWpG_jHc$sa>S?Bc|g6um^F6{-nPj-da-P=m;Xbw?0@gZ5@H+MAXSgRB z-&U7%>=?5$}+QNoW(+^=!?(CeS zxgiD?C07w-8&PA@~iNO4vf46TI;d&sWm+$0(5(VPf~l~^Iraz=NWOPLxp z{S+>;;~4k~Ebv4DJQ$C`OP!Z~W4l7B`EckUqEj0Mcb?Qs@GU3xJTCf*UYVyb(e2k@ zsQk0FA)r2XB2sQ(uH$yN)>O9YrF}j4)xaU>){p!O|B~lqkPioAJ9p@iZyw8CV%F-` z_3NGp6yP^PU$yw|vn)AJ3_-7kwNiMt0omF|!BbhB&KF!|ab+`Mujo8gC5XYvigj9D z!qK)Kr#P)s%9}}RrT6%{N=ij?y(A)dIdY1y<^TC!Gs!^w?kEPFyA$-(V$As7nXNI z)nsNT?5gq6|OR@b+j;5^ZWAZjD zgp=HV`t<(ksa+Op15@}KtY}P0Y?H~=T21=yNEhHa0Cgod|D@;&gfnh)1>{%XBs-YH zShZfcz1@C~4c3!)_!V0+o$~!QiCHRAk7)no{@%f!O&rC)Xwi~M0tc3v_3)M!MIh^% z2-=M`wt$`1A&`&Z+%%oT+rsD0HkhJ40AouWFP(FEM$f*p8ljR@+YB263wBv<-9_ z&YqGn9m+%Qm4n>o^ZncRTD8|<7qs2X`lYiR-Kr3Ac4dvItf_bf%h#%pMmmW$SV!`~ z(>O;ZB-o3?@ezmQOzt(r5h8w5Cc?8{BFl^}a6Nei<5Lp=r#5h_41H?)=1q1@%Q|T& zmJ2uy<(gY&1uL{rX+ZN9FgAwjT_*)lxiN`xA&r54Bpeb52osWXI67gMo^mr^&Xm?h zLyhb1!cW(6uNRE3gB;5f=HMuH#QqSK>J7<*oS}RbjAXpVQI7+1oNZE^ z+V2ola(~vW;@RU~8mZqs^q%L9oq;4u2P74N7 zY0xH=X%txYNnTUr-09=^s{zI+Cw6Tq> zJp(hkUYN?_BpX|~NmW@qD7IPox9E&v8*f20m=5~Bc=Yt=cmgIE!#Yn_+u~GIP0iQS z3}5sTRt(CRLXqrLVS8d?l;Nk%@zhx-#as=olNal4H{OmOiFcLlM{tHRdG`t zDJD9g(6W=1I_}Pr2$^dm+vUPyoMLBn%wwbs+B{jAh7T842F{TP?u@=$BEsbr<14uI@x13DU|((jYzLE{TT7t;gHyUie)Isrhg3 zgd289;>EJTF9{3NS(d)0&zS#doO5Px!e&=rf1P~&b*-`0?tU`fvl_c^8av*TC0ZPY zam}g7wwk(b9i1H?T}USu%z||47C)&KFB#i+RQ|M9KI?bfQSo(`FrGAUbAF5RZ+_8- zE?dID!cTY_!|qo_rwH{xO4O>a{@Rp1vyxVcxqM5uw3=u$BS$lD08b1U2+UaKfhmF! zlh?2cSlA!>GdkDm;o&;MU~YU=v0vD<7hL9&$@aN&SW+3mA?^~`3p|DoSb?VVS#gzj z5`}s_Ud`MNn}SHy(CkdhY+c4#LubrW;vvk>`3#z$Cz4dj9YL@@MZbI-db3fx`48Lj z!V!4JDLnEKUZp6`*qt6ePvTITgo@&oNtQ0)tc4L2)Q)#BW~ve{og+*Rio7M*EYG$% z=W-(<>a*V3wHw=@tuWiQ?vwO${J>>4@W}ZY6M?Lzf-9mCZ^}tAa^HW!;lDl&rNf<` zK6v`{f#u3ZCpNpY$(6kw4AF)%yBuv&`;E)C@p6rym=HdF`st@)Kog6C|GY((pncZ{ z1Z$GP5CrSFub9!(qB zSg9PYjA=C-lZ)FkLsso#Ni~2aJim&s{U&!2VxMW@Y^zQsY-@YiGWu4dW;&bRpREYHH#5nojo>0sjW(G;s~GvS>Cai7is%{P^|+&!XK^m=;_rq%bgo^EbCJ7V6N9JpId~u7S=(J2^n|Ytq=A+PLbN zta^+B!A%jM4oPsHXDac{%3Etme)FI^P2Nf=2wvO%Tgd{cP?o(RDE=}e^NXjH)t99g zc$7lmeznz?wZB(oC_T1X^T$`g;STRqfJn;9;Fytz<7-F%GyqOv)Y~aFG&gInaO06ko*diwY*W zv&o7s`SV;+tZ2F{G>Dm0hmp-@VoQfyNjjmV$Pww}?K+)%S*Ige3f*XfqHlMjRPR<_uEY3MOn^@F#$AiY~ z>@RD%+1^HsAsO?S`|1Me?Lu0oKgcidzr1fJxU1XhS!~ML)xGooU-y&{Qyr=Qgp;qM z&vREWs2#}y%YHm9B3Auamg(zo?sj0m*U8_c!L(%=&kU(8iVODMb%JRKH&!48{j4Nu zv>B`;Zvr4DD!5LMio2MTT50G~4b%iJ-+=*8M80RFLDxt-lbwf}d9FK=b7ee--ER)> zRI$AntVKs#5S>FCjCsNbI(Jq7DqTd=EG{p+obYC2vaiOIUlCFZVFEhzR!ymTa)_M} zLJ>ty^RV;I{V)HqDMjan46HPA^g8WOQkz16Ui10(p`YzD~M5A$tTFG%`!`4CgAT?fm&}$=Bav7AKd+bTM2Z`o3xD7dcJ}Aky5Wv_N5ix zw9z}vnM7wWmobT5ByyS=2(bc=){ddnpxSK4CAv9k=sd+3gG@}H)mfNKeGSqQvyy`e zr@FG87rH8T@LZyw(QuOWBOLoP0c0Q@?clbQRkP6}ff5!?Jd*?+eMP7*xD-&$_rpJCS;ZPVQMJHE3sHB&8lMi}^}>7k2Zj zdp%V?T_C5&JLMScK^c`rfrlF$d2OWIuAP3Gf_gu*7j>r`g9i;_L3Iqa2M)AN6a*|o z+`@>9#N!xmz?9xzdZSkbXP9~#`|_e20YPyO)ZrTY$r>uw=Q-?;i)|kx%}UV3yc$ye z*6eIQ@sU!vBIFN5tjLYa)S_!o=wRa%j2MC%!rl?(K%dGMS2G182CD$;tg0yNh9B3r z_vBEE5$VkjwO{#V9j{lIBXGMDaWiXK zuTya#TZoy(N1UKE9&B~Tjm^Q=5D;Ly-VLLfccKpY&0#IUq}OC-ts7syRL^X?Gz9v{ z+?-qFqx zKci(1@;qTyNR!bgznTw1jjN*;dse(wylv57$4R(_g)hF0(~SI#m<*{<_qZSVL(3{C z#?7IngfK*C4)|%Due8QVFd6h&cYrXUyzX!|h4g3+4iAn_?jr%x%^zcZ49w-lkJEB@ z#n}=DO}4p)uNXI}Sz0jL8h*FtgsQWT2q<;^)OXLPPVTW(e(S}^?ZLRN30;nPpvY#C8+3=zR`Ea&7)KVwY_9aM4?h0tlqrbOdj zp})s;D{)ntX${rHS7}wnP)L&J)pd3m=Q?jKDVNa|9RttKm}o3|0iC2(?K!2o3_p7D zd~4eycL9^3TBH>xvEpqFgCWTbl0QL)1c6q?qL_MMJZp6Ey*+vS7y%<|P7Z+;l`T02 z!#Q9w^q^X7ki7L#Ezv_TwNi06~($_x<0AAD6i>O9A%n);>}Qy zmYS19Ue5sPfEV!u^WNaoKoW&@E}gFEPaZ=2K7OXKSW`a*Q<-!csjzZaD3rOL z=xoi+c}?d|#ZZl@Vm6H1u-ct$wPHfFrQzz)J04GMVVK40tW2XAAUxyaBtvfOfjXH9&ly>@HMyI*O8j=Ky4PrYDAaZ}Dv2-JcJHtdV34M7!reG0 z0^B-jSzQ%RrA|pCmK;{rJM-;#QjFh;d`dIw7?Gsi{I4~0)ffY|&Dt>Iz<@kxHexT* zDP}Zlj6}hT0FnG&M}#tQpdr1YAKt)Aa|t?h5az?tL9|>%$!s;~Hk*}Ae7a5KIkn^* zZ5fZ*GCtUN5*x2@jtd&Hhfj;DKTXJk&s?imTf_?ftXlj$hCwP;T6A%z25#Q64C4{L z?!7yhUb;+lX{zDjPcvQBaTPoh6_0Sn_v*&CFVq2b#r+uhqnLXWQz?HS< z&8(mllaDD9TSz{BHv8P9)VDVM4iCWe1N#q6zoYNX^y73}&ugT*tE?`^9;D9qG6(;N z0Ff}C%eFw`D^f~k^qFQwDXl~=^99MWI$bVbU{4BA~U zF@!?y`$AJpGSR_+xo;cituQWdBdz=h>R9IrNt8!+`E`1!kgBE`lb-J3qWQz4N_u0V z8a^>|p0Y}9FYM;`Zy_ZUj!`r!$UJLQkI@Y;TWa`6+A+PfWBzCWdR@ynwvkvpi4OhH zmGknKEm+^K7-WyQtlivT866=}t2G-l<#;snA`s!xi#sV5Ms(ypRkYOba^3R`% zN9!9o34Pn<=eJHXL^yv)PMy!?3>8R5{i#Vs{i#Vr^|Cm~pHLzI3&dv}gJv@0EvUsmLym`nMn=9O}vAsWN z=6m-C)68bE?X5u!FuWh`?d@$q@b0p@dy^X(!zcoF^Fb|_LF1p)=Mo2{P>ok*H+rUB z2z8~?s`Zo6RHr-o-tJ|mPP^>eG`)N$qz@HnZcF!WDjB0Wb3yy#>R6f6!rC*Y9Pp@TqiH`+&1cG3q-A~O7@S#c%CQ4c^NO~oE%R#tJPlBVEM30 z%vhn+64(V+hClPwI=i;1J7#g3VK(N1xVn%sRgi4B9z1~WbBp%dDV&mr z2&bOxK4#$ElXwoJJx>s{%@>|np$b}ikbeG3is7>Vwi%9e~>FR#$^&A*N4 zQZpW+tweEZflx9c z*mG<16~Aevzxf~gFf!>8uIp$7)?1tNz&XsTQiuovT@ec6sq@PE5Z3UvVuU|9@HSOM zPqORyo3YI+#N*0$C^s~`gbIPy^0<{#r;*c1kew3eQX*Gw>zo>hD zp*&sn3f{>4x~=vv=#D#W02k?)18qYf^f|W~h9{qy-WrF1Rf#wOi0Zz%Y)MJSyChI) zy+(BO{i$HaVTVkQm0ae8MK|Xnde}_-=z3u?o8g$x0#MA5itNTIh~2`p zx6V7PCI1V-a#~j`YsTm;2wgcobeP!tWC*?`e9+~3^zYFeDYZtA>!zYX zsDob7fQnu~fsfFi{A*61n}OD?iOpCc>;@K2#XGS7j67Q- z&7q(&R@<@Vb}FpFF#1?CF~}bQ=8^0$DNh=zyc_(CVV6F#S)^24l zH?#n2jXPe^X8M9g!4b>{X5Sg^8mmGYafJUo7Aw6>VhvQc9Sshh(R#8jZEi5>6I2cJ zV~vgG!W81Q!I?1)0!O7V&5_FhSe$X^7$ePbkJ>5M)DphRiyq;&211vT!G>I{s~u}S z<8p=e1)Z9xzXn3=^6GPV>8G;x@HZaCT*?QU)JzJV2=t$EmC4N&6+ z6XRKO75#P+XT*l)Mm~xx3kSy6GxE13Io@LBCCT7eN1}h}pQy8nyAG&EX7K?69hM2X zhprU4_&`Y>s6a9wx)qbofEUIp!_7mNC>*nxK;SY^cacuxsNqwJ;hJOk;oQ%?l5zHq zPuE-?VW#DPiMb0RYEdlNHkeq`rSILUp?lwdL-%jh(Eabfp$E5W=)w2j(8F6b^zi#{ z=+Uhjdi4D_^!Qc{J^ub1dUC6Vo_y~O^#u?5H56HCzVC*PZq?Ay_utT4?M$QZduPHF zwI4M>6Ka|L>`Ll|Ab9e=&pWQ&O_vF$4J#ZLV^X!>=rW+><(@Rbv@v*J__t< z$u$m?w!-D1X4se%>c^4Qfom#isiC0!1-fIBJj&B#eTB}91wwdA6~3lJ$goPLTMj40 zD!xFsPN4|`8+&5s)J+;+lwv2Rn#40F92pPQ*_D|7SiuP68|1+#J*-1e#$9#wJGAn0 z5;6R4JE|sN=P^W=iFpmZ2c0aTJ(BlNY|wNHBts8o(tq%NFWGYr{~Bk!VG>X+5{2{c z*6=ANCCZy4L}Mj%;mH}C3S$)Zl`+wY!auX6%WIRY#>a1y*w>PuykLP#)?k#$pKq>8 zKF~&2wVcr@@%4NV>Fb5})oe7`|={CQnk+)L4HS^x-I5)HFS<>l->Bz|vr+w_Yq zK82+V47;vL|4P_bUaj*K5srgOet=Uj{II2|lvl+SO$IY?Raf*fvV5c$8~ZwmXx;Uwx>3Lr-S{RIYNgZh}7ELW09J${>Pr|n4j zr$ek)*RV<_Nj30rR9|Q%J(Cz!a}J{Ffy$lr@|-*tqdm1uHW8PmTgN*J3W zdV~>!pT*bJAcC{G=E_$pGJz+p6cv0zbI_Q)5gMRnikn_3*kS)2q>5J<^ONdepU{#I zJ-t927AC=L4Vr?JwRll89z`dqxw$lfk+JBB{l>1BynI2KJPl@Pr3gliMyI8Rs2fH} zU8LAZm?k^taVI)FB$w8|;^2dyd%oo7A3uyRTS38O3}x`>b?OqU#l8F zgOHh$6N+vi$Pn1BOLtwZl)ZD1CC~RQ+L*T8)3$BfwsqRJZQHi(p0=%N8`HL}x&8U# zz2Cd>;zrzmDylNGR<7K8os$ujnR|;IkED1HtfS(dO&#-3AR8|y!fTkGmW=hvCZXnJ zcs^vLP%9xkF)Dc&%GSut&W|=)k!G)_Z+?*5U}|dp+;SM<)XC1VfX;d{kL>nS05H4q zwuYc;w0UffJhcd3SwYf8?W(Ed8KvgIenB=_EIKQEzzV`Bc?A+#juK-tpAnW~`&ZJ9 z*EdzQ6Ci8jo0N~eW5-~kN5K%9ZeSH%Z8US9wU2;TU@| zPdvAul0#4f!z{^jM5JnyfPHb5a68|4!_&sL60?$`sii040c>|QEs6#A4By%4VYzhD zLj0iGVto38FD7;N{<4RKPH|RKMw5# zOw)%|DSx|?+1tL7%oUMPlIxAtS_44##WW(GM*tqW?NX-J?MBd{M*2-s_dE2uvFIr( zo3YHXGznf?Hh(75B0Sh)ZtX=V{Xz=E0C}{OCCx(n0v!mznoJPr2=U9H-{f(34Iw4D zyuZ2EBC#JP=7s$2ZU2#m)E6xA^S-Cw?q$TT2x5-idF#LjZ)ZoiMJDBioMOooj;1%{ za!ftl{%^}Zqt~(oq*2vcmn?F3AwfOH0V-$Tu}NXXEuYV;M_u_cD&GwUmfUgsdd`>P z(P!#D6<7O;@ClIqRj{ya>_|X~$4;R&gJ`O?2Fn7bT*`E$T8txv<)QKRUyp=oj`ETr zcyCj8PDG*#HlryAr{TB+erw$CBq5wy7Yj`q(!nfLBpO0F9h#BV_$#&0G(B@`Esx)l20!I$e$dy+v;h;NKB#nR1e^JDH$vM{`yqb) z4r`*7hb64`&nG!PAg?Fo^TahecoVkcQ;2}@dXDo$RjsGjA28+X9MO12jPCm!eBZ|} zkQ&>8Th)tMQwLxb=GE=f#PVs=r=BC<2OPW%+SlKN?U5;25Lb^2(pUl@y>!H+`hVVA zKXBb7nWKI#{(>pMA*BU3QLmWEw^X=xN%AOOE<4j4s$s8c$=j;5A78hmTh=CiKg3&; z6raI*Rn{WjZ=S0Dh{$vX$whxf4^B*-(f;02wq(>k)I7y@kHyy!INA2ZwZ7wQuCEmb zB~>z?6o*%qWF5Bj~dn$la8mp4XSc$Pn?(rMDPZ`*!V3|Kxp zZyGJDMVfj1B++nm-;?i~sV&T0FYi?0)ynJ7RS}6hF`bk=jfovBN1_=&kFd&6I<*FT zAEeS&9DbW48Tf&HT=3SCbX(PVXi+kCwjF()+*`DYBy8k%zrrqYTIGY}VkDjH=Q$1@ zHVsk{@k2Ti4QU6VaB;#NL^vW?DUvdM^ttF*7uJeZ^j9el2akw$rG02pFEh*yc>*n; z^;%HvR(A)u6CS#22`JX>|YClx3x^gUEKCwXPqz^@Hpr;iGm znb99=HHC%EOVA^JJgeo8VhvY>-pX~17~+Tf?IQ5-epMxa=cKXvR;r2)em!|sV@I`- z)5^j0%*zd5laxSuiY>Ufb=7RLP*gR23v{YB?A;p0ll$>Te>snu?^J0`6IEC@(Sjn? zhPpNP_$={*VDZ@;BSpcE@L3*?KW7csBfk%Y&lrJBZhcsc=G?c(zpmz+i54(M%$*3`#<~AY z!u|6q6zwif!1|l2BI~arl|d_+X*f(HV0Btpu-iTINh2UtfH}%VSz=<LTl^xWwL(1nqm{P?l1F2A>FBS3i5 zY{WkGx0a5!tznMfU0qUJ3Tz)F=#}jJ))`*O*)NQ;`ibE*%Z-yZcl9~PfrS^7lkoGh zvLGPpv4Ind+h}1dq$o&_kSV*iJO0>1Q)l|D=Kx-;QTE1&b)9ergeRn}ubwFl+Hgo{ zaPH*5KWOqVOdexq(o*M-?37d1?WNcAc$Aq=m&i|Fj*o@Z!_mcPisU4WT1*vMDiilQ?WW?Qfm$7ViE{QFxbpIKJl2trbHWKvD_003Pf6jGJ9gCh;E0-RnGhdzl8Jqg&KUM2 zVX@=Z%+9O3O}1vhfLyekab`6`z9*TcsJwg4ze|!#i%2Vb zg+saQzUrKP4v~5HCa;R!@~MP6^SzQY?=J7tQwhDEHtUajzu%Ml(-FdwqxW>I2Dl2a zVJzYPa~goPMn@|^I!e0*DY{NX(ugNW$U?#0bf%XbR(?-ohlj1I%Z=--4P2- z6jfqWouqUF0e!I&HzNQSWtItDX~aa|$P;ulOCaa3&=GG6&86q#dhj5@&P;W^@UNS} z?)`W2u<7a+75K6`DNQ-sCnJpaplAW#MZHd(HQyp@OFnh;Ly4GP;?i|y)5@I9s&fIB z_xZz`pZsqp2M0sj0gQj)==oy-E^H6c#=dbRYn1`!u|WjRWp{Rxcw5Zu5Np+WwcxLi zl+WVf=j6b|q{-Zqvj(%AvSxElhG-6-(R%*UDK4j^i8?laK2jOUJQNnb9K7C1fgd3@ z1G=B!tB)*RgKYo$j{XR2hj{!1;&CMl2p&P-uE8pPp;Z{<#r$E2G!jAzio`qE zpGt^SPuXn42OL%1D@Ki|cigpi@FVgQu7>Byo~8X*dt_)2{C9w77=9npYM|o{fxJg! zG*>C*uGeI#2tI*~1ISb*;x-llr&xu1gQztLM~zVhXFrttmx=R$*olgYV27c@GPV+fjafr*$#P0PvSX3(nOf2*iXw6C#~z;9 z8J=2-WzU@IVsPmsY4*_8s+{MI@TCwxIsAijnKnG?u(@s25)wOAU&A1&dS{FSzSG#yD6ooc*N)>;-AP#Mu; zRpZXSZQqI++^C8B>d68n%yiZ2+3l2nS_IHf;y`HXEhNB0eP3q-lieX3f*c2JacWgi zuni40wY%6%01|LdLSG>#)he#1 z85O6wGEj>QnzB5Zi6~Lp5)mw&xz>7j0L|LCyGyQUxQaI*W(NTM;8+6uJYKnIHBFYQ z{cR(}v=ZV+JsTXIkl`f|gkcS3baG81%AO>m6O zwN)(!DaotaMERR=SL$|<-*b`#m{K}@$?5SAHeBa>X`rn?8q-R)Dl|0XfnfEag}0l;eP!62AG1LBdEB3s$a4V)1A4*VnuX!YuFj?tS*~F9JW$It8ddQ@o7eY6IXAw+qXn<30oQ=fg1<$TMnQ?|#TgKf?U5jN`(E9~t}NB{YkS{JC# z5IC*l%iT#SQ+V^uI#A*p$q*vTn}Pa5aP^vPjJR0&p?-767+9z@I?RM)a|{XxC)wM} z1BzP=tD3ZPs7hh=7;E+xL?{cJ`U&+KO&%b#cva zhxONM8yj48uZuCD$?3^^qAP{vKvxEhlE1gcR}bLGOLRrhtZZ9GmAo|jOywa=-S|^( zqxo1ff1i2;pE`%eWciXpL6-yx9oGN`#wEf;og^$m5rxAE`%x%r(dWuoCR;bPK>*-yLF68<15=8 z6XUkVo-dK(yH8$elj66OY_q~~R>9wr9qz@)co5a2Lrp9UEq6>>aS?eAgk@+|6x@7M ztWZS*THL!)SIU9>$217i$xLgZ&Msr*N&9(&0_}b(Wx4ZFX+Xl z+Z8Ys*@0xf^U>KFAce5{`rw&e%JGF{!L`4F6iM{-a6etLc0S_3fRBcPZS*f5ippb! z5FR&mL(ib!XtWRTCu!EI`eJ6HSegX2(JvxqGES_N-RBo+BTpg|Q+5$QfX43jl5EMI zuiI@AsoFX_Hg`I)SOV2_NNX|bqM^V@pOVi>Hssyg)Kd?wSBN$FRu#SUSU7Jv8cyp- zvvTP<*fo~Hh?@F_ppwxmSd^;_N%JAuX%X+B$+g+{4U9Xo>#$DiXhjNGLEL79hOdlV z`3$ew5eO(MF|J~gWZbs`@JwEa}CN6f=;q=}mytQBt;(Z7ck z2beJDu>Cx;YB(UR$yPI@h=qKEaJ@Gx~YTvlK(HGMh zsOPT3vYy4RY>k;ahO`Uj3HFUMS*iH%lj9591v{qtk|!ae**?gHyI&@=wF<%uCxe*kKbG8H=cH#pIy~JJHn=YU|qrMz=gMk-1164n?|-`0Ida>F(&?0lx|kvaB0-{lmeoP zecR%IS(fEpFA12TLe zWVz=;DM~HGmIzTDwwsMyIY=3Txb|nNYkFzh zUpS}vx*UJ9)&HFCoxp?(GY*|Ax?ptr07y!CT2|S|E4(XIp$WCb0tk)v;LP!6jgdKWDD zVclodGyG^!m6XNQIvmA%Hc$-UERO(^q!&_n_&F;x^|Fr?dopVDrvLH9OHQiF zp%AZ)r|De6yzm(`*r+s;xZv0C+Y39^{`w9J(moddpOa~L_fnPO^ zEN0Z2dls#vUz9_`i@h^YO41>W>%mDluUstUSjjO+0Np8OCGXxO1*~#)jVI2pIvmsb zXfw*8TQ{Z#2vV6{jGH8B4;P|r1SYVusU4^l@u?Q~_BHG7WdHf+uiW#ApEyez9+3{G zr(Vfiln0?8RaM|RPaObp#-1v<-2l0&Fc_-7Z zY13|8Ua5&F5@{6?RHI6)l)cPo!d*6yp;hy^N1dopGbova;Akf+F8I??pmr8-&%dYd zpYFKv!~M5J+o}9gf2&CsJb&Ye2#=muCa%DWaY{$O`9W^k z@LW)EkL8XN?vcCJF6++Hj?8Iu<##HgkfXK?GO%TA;%{0>7itY1-(rirm#Vfr$sS?` z-3X0nu2ja@Oog>4WExxb;Nf$f2FdRudjfOc7YH>bJ%bcX6tD+Sen45CmMN}d|=OG2V_H}5~OG-XxLcc#+ zc14N5ODQv)2YW7{X=O1Uc6$nh-Bm8P0Vm(Vs7?UkW^_4$TX%|mL1Q+$=tcMx|6PsM zqujYlRFx~>RpXW>PYI8bWsL@dM+lUB|`xgZY`mfPpolH;8_OUiCm#M37;&6E6Yu!AEw5Hi&63v z4)v`&x}&^$u6Grq&FVQi_CzHewOx`Ow*;lUrL8nPh$$=YYMN3X%OFZj1Qm2-1k{j{Yp zyhj<9kAozHJigDHLupCk0JLZtWZpTOSR$L=<#nK_IN#>b^EPnWAK+ON4Lve5suI(% z({51No@>v_{dhs1^!8FTF557eIR@!zJ4SiO-N~1kXYR+I-!iViZsO4N5hO2ox*OZUb zMLR#$slrQFD17Cm!QZ!aRt{W`hc@6>CV{2aAg0?u4{909F4Skh@F zxVDiYYY$g{YCj);#4@UsGYpqh(6<>GFn9o5RT4%NGRXJo_W(q?qQ)7jojk3yueBU+ zPfs`Y2q@L?q;m*f|FSc~(RNXF-K&msrJ9JMg6=7coGYI|xu|#>vr@>0|Fhz9Pi~GC ze%{7RRLZ;m*f)e5LP`@F@u5Wyr9qvdxgR#kLQK1fxEv1(fm>$T2)C_eZeK%M{b^D%aQ`U2PUq&r;2%kbf87+`_zR&*i%739p zf#Wic$woJAB%-6w$6G|lVtV91j$!kvBH2A*&S#h>mIHbCuTAVND>P2(BND=W1uto-t1!=+{8WmaE%3Ti zqlu8c59F{i19IUU_6Z>o%}s;ng*xkJGzgL#2M=!dz<~60T46|~%1`&@ALl*>b_StL zQdgC1_4^rJTVoUyj^oF0onU`3qUp02M>h5P+^Es6pt8pC(QfQZA64%SvsRK3_+lrx*m@=H=dkyN<%9tN z@S{(v&N7=0!ywXId}wkw{W&R*{r%F+w_un*KF)AUjV`6>&Krpq*vJ;x#zb){ zA}6MD*e~2KTadfF z8MGtof$%xZl|ix~@YQ~KVOwI>C@6G!AtRfadk4aE+PQnK>>m9a5?sF=@iV=m^>veJ z-Cax}&P|t%zBw_^vS=aasWg+VRr+%4qy1Tn*(CYscUc~k+mx9VM;&i#EY-AGo*6KB zDxv=N86SwMUB=nn(;AIkUj6*B%7U-ytM;{>K=}@w^eHWk_OX5Q#e-#xDTUmynzT7` zT5iX(8?o#1qWq@ZNv2nj2qR=*K*=ofo54^mSfD>|ab+CWqVebih1f`E!lgO^8ptHL z9o6PN=Zh2^Of&Z)zHD9=lA(WV|MOBXWW3r>@S88*FM>DQ3+D|-^*P9s-^ghes6-&c z>Tav2S%1s&4DX9b1_yzdcJ%!jNf;|*S25nXgzq)I)J`Qx_!Nc1wcuJiiY{b=GE8!| zP4TJn6zRgueRkc4OxhMrM0c|p4D4f)`-(4FlZ#j|<;fz-0((z$@wx{DqnoTG)zm2H zDun1%v(%fA9Cs2oP+&W3!@tl*o{@_JjoFc~==tQY^4C>0X^vMav&GiyQ`@j93W!M` z>splZ8=%t2qcGX~S=wA;D1^5EL^&>02a(0852%z`MwPq zHIC?aJY@6FMy;gPyY_i~>}4Ez6DbY;rlYJ$)0mv2QXIa10 zgn}$bcD=5AQ3hVH-o1>m^s)Dy>y0ni%@N939ex_q&`dk{R zWW^Neqc4dvQYKEWzEnx)c6CK*qgr%b0~DVnjal_5A4EwVG8h<4RFqy8c@HusJGqIw zW<+cTKtcyd=j`Ks$^<2n8w^}=AJ(GoZG;TZv@7%8-BxBl@g4aQu4?lj_z!&XwsrXt z{Kh_cIy!yvKI7j#yxl%|z6hW153b%k?m(}O&7Wu9IM+W3pPiiDK5_nO;pRGU5@t;v z{qzmt#Xse{{qg*`*nbSyWfOpd;BrMP!S+;1VHzZ+c#_tJ9{k0C#nbhd0*h~3>6IIy zD6cX(Ui?O0vSA$s=FKjzQHrI4R8&B;RTYnxk{+`h^w$7XhEitZgAY=2G!=AjTG0``s`a`8jp zLDWuH55Ip_a&jZw! zY=8Mtf?4>8XKzGv&lOf` z)zYhY7G2td1uOmt8MM+_HtkJaQoaYt3nbK0z|sZQR0Bq){V zPx2XQ=Kgt|yK9{@sB8!ZIMd!g_p1;F9PT=SpR{j0&xKA;ON zw;HJONyrd@yM6bDk8vJPuzS`SRgG60;cY`^jXUKtTkBj}_hYJ1B1L=)8FwUyVX>m% z`tAypGy`+u7s^_ObhaFXK!-bm=2atb^H7Y=7k6#c)Y+WGzz$?%a`ri1wxP)_AM16) zcKIiH*@0Ps=qwfB8g(r%Nl)0IRiB@k=5A@fupB@{I*ZaN89W{*p?eLd-Qs@h6K5F? z`a=zgP|&~xo?|J}3=Z!d3I&(U!GfZ{R&gTIWXwPQKtOWR$aX3Q9^17-F;&9oSCl@! zF~B*}W(;_PWe&zEEmuFs><>z+&R=Tz726O|mxyDtJ?_~;rNU=@n$JRdzJt`_h5_79 zK=FxzKuyOY0s2x6fpc6)!b9_0y5>qpG6F0RbJ6yz=Gjy5$F2mtcAkAKmzhF`(xgJ+ z0n0OB^&YwS=&qFXo|%vUZd{UX@QlOE0(=yu9hjT`M~SD|9u-BuF4_!3h+)DJ3nH6V zzr|Lw%*(0}2bfe=7ZI(~WAWQXMeLQVC|)tb@Ab<3@7?;TmIG4d64KLmk;gOB{5u#Z zSAY8LBr|_Qg2gdH0sj8wn<-^+pW^{$e2+;g37KtWf})`ythz5Uc0*6o`gOTwJ#<$O^!NXT%Y)* z7BaVXHtA9g0a0o5%Zs8ZGwqV!y*KyC?qWbvN0%hga!kRq;_|gi;_kua!7)d9;sBob zp>NkpJsEX((eAP8B5qCjP2+_MT>izb-p0W}q{sa0&pzwt_&kjH zm;~ok9m)JFkw|%G40z#WKw>L|)YCWIU>-wjxovszh9dore zg0Z#2I>%UhH~?nT^T}s#ok2W%8n}%R7n$FttIn57I8wr(i<>JduB|A(h_Gtl2gh0e zp2<^3%t$ez019SO&xFv2aeiBbW8|RpF9VnfO65s;dRQ4uBYVDpdhxzyfbY^6yCj32O^iF2UV_aVFp*w zfGEfE9fuGhT&4czR0R=YeJ)@)sY58}M7EhF#DwCP)gB@_mvvo!w_{SE0TT7#VRfVl z%X$s7vV|XCn$j9IA%9V?c5fWYhwlp~%@c}C<=}e8yM)g~`T3ur`yYe7SmrbCzj6~D zlgY;$)(0Vhbcrj1lmgMp*Fuq`?mZ1$q!@AtmC{HWhGZ&2gX8J-#h5v!hsNOk9!@F~ zT2Y5*LCq@bT9|txrP}m+Hq&hg!fVL=%tuK38xdt0FisjyP%vFZ=@D}66lrChS6XsM zDqAA@FY9v-jt{5MS91~#|m$H8og)rfm<~N zL84Gd(kJFA?Gv^#a>P8L|23F(Ont%`e{|#LUM$KysMn-QC+v0y@_=5d6bKb~4mPZ6 zK3i?SvDm>ppa%-m%YkVuB1TRg2G^iy{#G{j__9{@NCGD8)y(}pTe}3l-@qA+yBO;; z+aj#DL~T(nWw429#NP%cOHshPfq*O9Z0O4~lrO=)E^P68nr-oSY+OB`*IupMa-Xl< zf`1B;%x~vBogd^po*M`G4*&8((QsbcY`>miJKJ=3b9>%$hL_&9XS&+ik`7uIzpmCV zf_r1_xc80O(d-@R?HLB;H2c1LVmra`=D$gi>><`fUfOU~$^dIbg54ZybDQ7)g!7!r zF+ch9OC4c<2^lnIEjn`mT!YmfWoKKGAAxNXJr*Kbd^$Tsa#q8?PvzhR6g; zli2=cM$7=k%WNnL>FYckylA$ng)N89{$%61loH{pHBXP{Bsj9ir-;2l7R0I80qY8d z%Cgx)Tz*?qT;8)6w^c}sT~z4n;*U7z_C|GBk(+4)%TW{9vHta;gEPy?kGdY84faN< z_2rMyrLN9A*<(?T`mYeL>IkD-2`gh6oE-Gv(f7!cY%>c+%E&0&El46?_|U==DHdb+ zQ`-9`x^>yJ7a8EX)*|xYkpaJ~Ut>|M+5L=-4~!R}Tqk(!?sZPaG~_PuJ;yawei?#{ zudWY@scOZo)rT+jh_bAVy|uw+idw`1K?Yo$oQADH5qu()JKU{uy?5UmN2^$td?+M4$cp5-WVs@ zh%1=&(>=#aU@xLo;jH*@AP1E|d8dbdgU(j(26atko2&0xN4)cfKTMoqdtZ@xs|*)h z6OF^33!6k#ocoCEykuk!cb^I_rgozOI0W}vd^XVu4;C2q91<*1Xg+GbX1f4rDK~ca zgqv%_m-!OI6RFKzlL2F4BKCvtoSGe*Hms!?} z@T%4-y z@hGnKEc{jr`+&}gkfRtQ0w^Bq>;CWM<$4D3Xr+Ba@dqTD=$x9Wm+PkMY^)oKsfG>= zD_-d;Fmfe@OPdyL+tOKz))R-lkigUq0m&}CfP@?x6cQ&P)Uiumhi7vbX_NN6&xzia z*G&748=r`nl_mRmHkGXyLfmRUKXZNdRVY*4eeqaPof3>BYo@-n+yc`ei)*yHMG{ai zCf`!Ujb;B4kJ!h38fF{^em+9m9UiR9j|xq+Hz*Re-xQaHdO2+sO%GpnidgcG85Ow3AWKyN zqOkW(yB0OLz+gn|tqbwx!Z~6EEPh{TJ0AWH%gy?16r-%r+J2YO1o-hWL+ZELgvF7#{;^ZtO;&gzER-f$d!2(~f03W-z-`3rN4uT065e^Ks#|5_47T zN1=GtT{bceMN>V&;#~RTar2IElX0r2ovR#|XTC1Q|_K>Q*q5)Q_ z@RuxZay!$li*QD6MIz6^OO3J}DQWaWbS4Ds7USzDu{P54N4_1lO;1g-N|7mv$BG?aq}t!^t_t zJqO;~OjiVMu=9>pRkj;Vq?#vHJxd?CInj&L*L{6)=y^>kVBodjgiPm|ANJ9<(lxe1 z+S5ZnE}N|^*+iD+_GEm-TLL=DcIjcf;lI z@?_-T6Mi4OO*uF{J_PHsu3z9hkI4luV;|;O3JSc#vOMtD(M!y;)F~Ma)QKYA$TQWW zDh0~iO?WmMt+%#;lIYtecqx;h_)^1KX9nq)BpDcs8Maz#KXp7b7_9+SfED=rnjq%G z<9o&nc1k>%HB_|^ZA#`UDOW5%!E8E=Yq@bY9k^PkL%!xg*=?BFnc%r7Fmbb&$*C_B zvcdTM!j6Y>?YpA6)X@(x%3La!mq>3U9T>(=r9>ItHB+r-#V8(WKE!s>dnpqwoBIu> zs>H%7BA*=SvI*OXL$*gur(Y)r63bONSbc@NowCJ@l@lqMNkVaNEXaG)@`o`irq0@n ziA`?|39q;iiQtYUa<(XoKzt=HfbqG0ULK`{tq1bPtQQoQ2i?B4naLCs73jou@`r|O z&++o`XbGhh2dnS31Nd5r?v{9kJA_r`+mXJ)LjD}##?TfQVG<0Jwz8iz^^(D1DlT&3mB-v$!fyi8 z{(@*9<5d05Tc~9r*uRiKw-9v0%4-G69X+lOX#P}WMR2}v6^rM6fVal+`-LIVrKf;J zb(<2MYSvU=Fd!8Y(8u33L-d|J2?S#wyYH?`wSpIM^<(*29rOM1BlE4q0PzW#|LTFe z9S7~dM;~1K`_*|j*X^{7)r~=_o0`>rX{I4WcWm-wKYDN+NiFps2_kkm=N)J zfwkniNsWe6sL?W}%EsG(*6Gq}&3n7$(`mcQ>thc~nt9KbgVLLrB0CP)1aiW>rol>{ zfoqX-lTJdF|GBIz|8T)4`*gBLs0{B$WYl>{KPU@I8Vk)__0p(z-HPk&7o1(+v|f%guRV|BPC$VqoC~Q6ZjlN0 zlUtu^U$SgTC?BHrS%Vt7R7kymi8EK}?1iUCH&{?Z@=hr0#k-a+`Fj#Yd_~jodDK%a zR8A~^ci7V~`t4B5kvE%{BTCL?)IqjN`{+T1j+(_qx&^Y@j<0@yvB!BtT^5P|SI+6P zcIuj8g#esHWBkhcYfs6?9~-kgu^ZsS0TMM-Dd2ae(BPt2@{`s}O_8y67mlS-($&L| zI#A2egQ4pptXq%)+ecU9*?y6H?KpMkx<#y3>^nm2Qe*$TMO{7C#Q_+RgygDZ zQ$8(feNz8vl{O(_9sfypALMRzJh@?39ABeV;$MlHWIjo?0$;3;Ju;m*6Z@)Gntl4>YTWn^6A>KSqsjbqf)aioAr@vvHUn1U+AMf@zWIdZ#;He@tJ~` z2{i7hEJGw8AWA|(_{p}7n#qdoQ1z-dKb2>xP_w7KrGl}*1{(o0*|7U)Gxv7(>l>8n z-PJYAPN<-S6>&F6$*v(umqE2{f(o*pvtDRa_JL5CZJ){dzBP7(Ir6sFO9wVexY|WL za0`F)@^GT;8Zlt#XB8x93fg_bRd}TOe|sXyp8U|(YZzZKL(q>^h>_eBqc_QchDuub z<^M_JQSQ<)k|*s&hV)n;gF`Y$@>XbPei1WD zS4lRfJ6ktmwZdN-oV)p9|nqHZPH62Xh?hcA_ecd zVubd^mPFbR!uGBDxtHiLf|xD#>ys#-n%{NuCW^BT5vl5Hch8m# z#Dj;+kowrW(lP=(Bhho@>K4Me)gW)TIbS$C1&0}(h=x!0MLyTcE{O&>>3}>Mq)R^3 zBy{fk(~p)@a8)-sEi&9+C(J;_7|Zf%OPyVSdSde0VUx7+sK2`IvJJaoO}NoX;-F) zP3Clc#RS>L?&dE+!|`Eg`6#&s;Vlg`Xt%5K?FlWYx|rWKV8<1ma(oA($^`R(=ii1JQAx)8^@w;6{UkaMWP_0vVW+_;x4~|V3*&D8iABC6sPNNst zjeTxXpd$~S`EK>K)>2#CUkF(ieB@MN3YueULB33kj)2>@F*VxfMxM%=U`CWLNzpAD z`#y{AO32SFYh~EHv<(%}iR|6_tPA}0LeL>so%BntN%Vu2mBbzGx-_J2hhGq_1gH+- zSMxL#HUMz(wEl^*oqMIXpaJ)E;SD`y&QscU%+OaSfXg-)?(i&d>F_ZQ?`3q_oo=<| zxLcsGmbc!@6IO%aT9#2RCAX zhu5R2Mv(yA4(S?M??@uuzVDyFe4}%5>f6j^vP9T4k zFplN=_(BRPkbE|_EHuU&7uJB`@<<>UM5MKGrpKK%>_c+f8Xf`Gdi=Z~h7YVe>Bu+z z9wYaj96K!TxapKe4N45NgASU~7R1VF2O!g(Y*p_zd`a|i_9Q4|WA z8h$Ea;&;0>j>>%5^~}kUA@j&yp>5zitcWMP`92=W^p?fL;*Xbccc z@u35u0ik8mprzB$p!pM^A)F;1Gd2QR0!|J}IwBeZA|pG1k@>$^ ze0OUL_-67S3g#vN`42-UdlMrIQ;Tmt|DpIVwEx`y3(w9OU`=4_ zVq<9H_z&iPstEpt^!=Kl$G>naY>mIuo*27)x23T79-o0Brt0%>He%{|(OC&dJH-{{Z-1@BDv<=xp)-kM~_}Oz>}(|I=RoX2nfF zPD@Vk&!CL}&fnv(wIlck=O4GZ*aBPu7S;g6Z@(G?oB{tbsJ)T%KgLwIu>D6NM&Akm ze0$c!{U13v{Z|am=8h&Nw8j=@7S7+$|FR*0o4JXj2?0A3CjsyGm5!72zyALpMU->| zstHffP(bf6+W0t;9f)owExwJovVrCKgu+*w{WsE{?^RD zJ^W4ZU$Xd?vB|ew|1-k>M=d4}F5l4qi?6qUs$*NWKyh~o9wfNCySoK`g)m{^EtiI^D~nJE5h_5WEJ@akal$FC5u9V~&EAu_bF zw=e`&8;C1oB1@BZgaEHPj{lt>S|Vo;dtgu5*mwYK*cw^dy+iNs!W!C{{0C`&0mtb- zL9rPc88LDF9f*q)k*lSto2esk+}6^@2AFFns((sm>f~$*tSB&%e}fO$HmaZhGvU7q z_W#jZ|5yd~6)GwS2nb;W4DdS$2pBkI7d#POXcvgVkzMa{3tm^nkJDh6#@D%37(3mz zOCJrlPfaeb?}x_U2jx^hk&viH!OW_#DXRki5N7jlBOJdW$=fH9BngGNB)#=sM}&bP zBK4xU_5}Hgf&xRH0fGw#!q^>VK}?Kdaxae&b}mnHFAg(q4@OA_Q3MAN-9TKI16ctP z?7X4C33iJ&g*-WeMjVJ*FP&+b_+CePremAaaZF9JyK}fG{~l>6ql$z&k`<5MG=0h)v|UeD_)uEzZx%{vp$_Agoa4y^joa++|U98kspr! zFd3RtpDoH3=ZO9Tkl$o*zdF~i@kIbMW9#yhb21Vj5v$d-~!M6EXuAM^)f*V|Rll}DV6 zNS#jfRf6uSw>;J+;2jc0$SiXLC0{wPti_x^`o5$j$&F>F*788K-28CYyb>!eF`oMQ z>KkYvZE1ic0>N4syOAg}IgP+Hcuk{)zB}EUA*o=Um*C}@OHEDr6g_k4-4U%y6*)J$RyoUV11mD7;$;}tfCBs9s*lc% zuqN`^)_FeTFnB9yr-X6R|i;#IR;$;c(hTL9VD& z?kl3a{`dqG$8?CH6TU^uAvy6Ca;(v7@fgiZ<-tZO(`MxD4|FK8&+PS9dz(}-kZ?$r z`KV4$@&k6A2B8h?kFxqkk5IhXD|6%H-p)l9;C=~>lO8NF<8wAdG9sspz0Jo?nRq2| zy#z(B!I|6*ewC!_hwQtz=CpPO=a)QuKv1)kJ!(A#w7jf^&T+UV{YQ5HCis5K@i5cFjY$P8nF>rW- z)0?b6#)y&kYby zItKUC+)ohlDzjmNYw*h)SePJ>*%NZ(!mb7zLqc=~QfwVVfP}k{h*KksRi$a%L6F<6Ol>2 z7fu(q-HO|508~EN>^ZN{!v_E6TO`hu8eOm*F1~JGMo#DZ+$Pgc^(9}T@Q1mzTe?io zM=&zR3$8u-La-Y~J0WU$%;N?X<&W*=!BWiEttxGon^Y+(j%%&U(lAFdF#a+>w((if zzMnZq%EArVuM{agt||DBp!7wv2iGz%$&vTWaGzFpeAoW}ZvJ(02h@U6+2% z_;=#*jMBH?(kFT;#N~vfeq~k6cP(@!uaS`7TBNJpCgcy_1`+0Ge&2bn48LB{f7?rQ zJM$6bgvJj{EsI$;2mO_CjQxPmWc((i0#CsKdqLLh-hoxJB{;RCuWWrsNFFEy<^n;F~ygiLDxaA6~j{9-tD#G<#X)+4l6Zaqjml-kZMG1dfEjXP+zb z8l35H&e>tQvF+1458ek2&N(aCRq}k4yA(iCxT#=|7U-Jl!KmTqqufR`e+dDtK%<@I zWh71ua}6!xKAR9h|Il4bF5WjqR{ljr5Uhiz@LRFzkg(f-q=eUyL zy`t%-%L=CPzLdO>N>|FYG-e%RCpwYryH6c8A6g-}XBB5lw(ztotXEK85g3H%c~UFG zjy_!fSc2@U{k-963h=lM!g;7rKTC5i%hGkCYQOoSTLn(i6iAe~DcYtD(`kQXoEY3G zd#8etv>Y3#1xw`+@zsi+Nv;_UxV4>psJpy>UL-~93d>OH{*G`VljjOwy0EuAl|)59 zU2`ANjgwWq<4xiO9jFAtG_I0$@iw0_wpmk!NON-PVchQLkmV<(BXen9#|+O@{_i>h z+WSh0;%x?!ibYPkA59_mAf1FPr3vmzs7o1I#weZo<0YchI}RME#`e8GA`%+~Vg@#t z41C#_OpRN^PJ)a-e2Et)IFu0v5J|UPA>6?5$kqFmUitKeyAS#0RbaKW0XS1rz=No* zyPEE->2G!oxIBNj50&kf=_9F@u`@ij!FR)aY()L(LbX<$VC3FI@V%l|c6|#!iDN2e ztzBnp`e=rCt;Fg{IukI2!Ze(cW2@fk1)xh+>hd2}V>^B7mnX<%%y+X&@fxwaIVg~+ zcN*J&Vke4cK6ry?=R}3E zZE?h{Bhw!}1V4-Pc)#f>eUw^@|6@Rho7Ioi__x)KUd-7qglLRWHly1w+cC6^eS7;2)U~ST01+PKT`F1Ht^~ylyr=x5mVo@D zmTdnowFF2T-(?Rp)@xF#d}Q8k^GoO~U?1HF5rr~|H+1|%1pd-l{?=b8m^e9^ zfyxT-2MY!8{69*Jle3|t^E(y!qtuuIY-|8-e~93J%>A1x1MJKJ?Vq@s!1Y|=%B>}jS|05aioXGS)HjHgtjEI~a0rnOi6tqMX@BG@) z?$1;p=QFkdQYTZOYV@~{|B%6d2$>2n?G~0!&cFd6%K|d1KeBA8!5&N5=1! z`QN1kuG!X*=$&Ue*&7-ISu5~2V}J|raej}#M74h~Vq*x57RV%l^#W2>Lnm89J4?g& zba-PY15r*4ocu?m5_zBe9?JUxB1#uKM^k4PM>`;NoJ<{EO@Y`4l59hu(qLx?Tq}^4 z8e9CEfxl~ncK>KWe^zd9W9VV(_`YuWzsNMOi2tI~j;4Pr82>0Xf1M9(Cm|KZcRkVi zec+Eu^@o=KHT;LJ|0N#S1CYGY?<4RHM%bnlJ$r~Ck5K7m$&Y5wB{7?hKx`Ckq3k92BeT+0o%dJ>HYd(Vd!Y`2blk*Q>^^dE+Jifq_{pi?a7Ho-VR{qr!-{Q zHzEJ&G(Wy__vqC5`+ManznW@_>TK~u%@bu@T--M$9%d2+om=4U&pkx^p_Gxx;h{vK zL`Z`h`8f!K8v*$+0YsyWaG&!19}8gg1Up7r2Es?yRQCk}e9azb#zQr%`@-wnZ*+au z&z_EBUJqhkh0mp)4+&o;v){Z3?6xNep|U#`dxdb`+M|C^!%l!HTBbv#I{k_|YAT8n(eCV=2b$Mz|=bL6r(sOYp@4H64o zWw`zIV%D+Ti*uvXd%mOW8U-Fw35d5z+cV_~dZ79a!QImV);>>wu%gq=cpi=YX2^%0 z;;EQU63r9b7eH;P(u#jdGh1>AXXft<-%a_w(M4JzEbf{B~$AjLPm?Cbr4gnq<3Ol6wka z%&23wOcAp|KKLY(^WwF(e1(+N|In_9W^3W<&61EPq}$Cqa-ov$9Y-;ev!=RCiCCHn)~nf8YpZjF9RFd3^VZkb96 zR?+)5F?RxU58YvokX^S-6|s-JFujEHTnIcjX8UkRr`a^bV=w!nsY%=SpJURfSLSq@N&SrJF)HAH^EhW8waTF9Me3ajXWw)UIRoCP zu<-apXEgVqtL+pfTq#lI2|Tu+k!Yc=db7-^sx{&gV?3vY7v@qfp0G0oMRzzsFbZ#% z?e?Xc6Rmf&+~A1P!8BS-(!1%p7JyY zQZT@GomWThz`uSU-`cnYN&Yn%cAwG53_;uyNRJ+yZPxk>598Ye-5wB25a8(-V&-(b zH+mvIk$giQ*u^EFY*-WgQEh=JhiTP8c;B2gcR)Cc^kT}Z#uOh(7eZkxbXMR| zc)%$!;O(Y3x#+9yMrk=_kZP7Xydvbz+<0^G!{j6+?RFU>jUl&w(Akv{s<=8?smjmC zbx-JSPdT^=_&N7nhLsvJH*kuRc?OC)f(P|jH8C-Pj;syWncBV1)y0wOl@f109{*^1 zA%DpAO8+W-=p4HcOB}D4%dcroNYmW?)2lcPR`sP*{i?=J#BlS~1(q$6O3NXAXuF6E zPEIzUCHMt|G=(RO_xv&kiHqIqIk6l5UX*FrXDKWER`GUE=h`8?ysNSVgyTJ=WF#YmK7*DCm%osFSWR?3VOjvs+4@?J zq}Mm%7`UV$^^~X%RT4jvEU~N7wHS%K2v2~e1s1|*rJA0>N~4Gu&K8-bZ_#r*3+h$D zItG||l!beKC0j(Fiey3H$Y!c3uQI5JHA&5s@6`!W#Wa^$0d2rcrn(4RvJCoN9sdC| zRI5I%zxy$*F8y0~Eci(~lgcF8Vq8D&izMO0Gxl1N%fNDnEEr+qmpDV=4tsl<oAvqw} z51(YNx>PURcX85j;Yi|Qd-HPdJwxXr-i@vYk#g*$RV$XNOU0xO=<@1|3G3J*O4K83 zC(F3XVT_e0Ny^8VqbhB5&P!?wlaG#W|EiQsTGF>^>I;#^p6$ia8jBX2?C&uc=`jFT zMz?-Cl^P5yOw)bVPVRA~{1Sv5v3%~1Ff?S+H0NK#i*wa&5y*yfS~zT7O@EnwDj(T; zIvvLEsYGt$rn-+BqdSQAWx~;eup?sXYn`x(FMVM(Hp8!3Xxb9}DSzd>u9s>a36%}s z1j@w=D700J$$Z;IU7;_7lh%jD8^IX+Bvtcx&Jrh=!tPzNmLX%MvsjU?M6&3PCz?-i zLHZKtbPNhTDCB`C3jt6xXJ!=lr5&Li)?n;1Z|q(pEm^ zv3V1a?K1W<{)eeEW2W-y+M>hRX_!m>>=q&bBM9gTA%8pefhjGc!T$&K4u{8 zpzs$Yn6HStNz_#?efTyj0ds`P26O+hq_2y?7Tx)2pF2?u+gLPSM=HoFAUql01vDj- zDV(QmoXHcyW-@PN9W$~q7a>2l0;0-)Sd5BI*s;T!CGxedzi8}0oa53JA7#QK@5TL^ zIk-P;9?6E|k$uQY@iJ%`uQ1_PIEPC^php!u84u`#(MT?(HcpQKxtg}|MY1Nn9PG<% z5&nr3N$FEMwY;SkZO(7WWmcje$Q5~0=fn2y<&llBTv8j2m~W(S&wOuT?EHj zDF-kT-mA>pCV}E5_^bMAkp`FygG{`6k~7Db%8#%&RtuO|1Q9V)z8| zO9fnHBuxl$s^G8kFw0PT?Mq!3^hdm?1Pff_TR&;{3_#CPl&M!A8@%HAu(h~RpUza)rIYq83bzdz zefi|6(4)KP>b1qz6GxPcrx0~GdWY|^6X^9-hK*`r=mrjump#C{6k-rNBle&e`Whm< zL1^cYx)lQpZykvV<3`ZX$hK;|TPYqg7Op;r)y0LV4W$__YMFxpe2!o{22nr8y)0Se z`4-^qZ@o_*UA3gB?k+c;*~uD9d;}6CNbN_S;S5#2z)3a>_`qds~1OpH-(5RzYRZZfhXTJ@ky_ju*G|vqw4~;eC}b$ z8~?aLvn%U-j=}y3Fa>>!6Q65(#FxbV^Orny5Vg5|T71P8i&3C)b`-zuWM`6uLN=H7 za=%-NM+=OiK!&bPRzz5y*)w!o6RB~*R(jl^y~=&Yr$+|dm^4Gti2wl!1=*{?Bn3P> zT(71l;3rgpfs;Fisd*|CjUtuL&pln-TV~oHHsO9M`<$4ki1KHyp+eb&Y*4F?VQZ&- z*?7&IJ8V|t%l;?|AYUaH{Ic@HQ~XNutK61DE9?<(3)~E14i03`vf)=t=+6hkgzp~~hyVV`ixg_x zs4>$(BgQXi`CPZQq7jrWDBeR|eP;=C+&Xs+t7HB(1NkU)`SRBJNx^GrA#Sg|S_zrx z4awi5p_eG$FP@dizVO#Nt{%&ND(fACznMeXf!y~(o$2(>d~|T`4hYn6TRBgjwvpu1 zF1_Y-0>aC_Oq)am8I7QF8fGM{D9SpEGhc+T8+1ejJ5p{8H-w(}^<$F-sjn?a@vIbPL|*mR_Hf9N-CR9XQ&8#v?IC zM^P)*Qq~$gk5%lKR7pJ`t&G6Onh3f)#5g7+FO~-r*HoUhUF{#?j;9CPo-?q?D2GAc zr(?Sad0UX8POOmJY$2SkiKMR{UZ4|asQhXE)j@6pVz`!Vupey(%u5J`;5R2pZoD5z z;{LrG4d>6v)HnfZLC9bj8ErV=&e`QAgO4QgGP4$H5rxsNAM<)}66o8yv>R4n<&T?` zB{S(3%!wzyEX)IU2PM#r9z6)CM%{5lYvMP=V<;`GrE`^;9~?nhC(<*8jDoZ77M)H% z1FTyL@h8HjiGT7V@WyF!WMrxPG%{ASA*ebfi9GE8!)Xulq{r0Xk5S79W$*ws7vaxx;Zw5oPzP#4-+H%&`C5mzKW(1a}9BHrgxSRFzjL>)H(Iy3 z=re?`-L>BWI_T>C?PCwj-A0b^<0lq>tIT}tjhpYHL>Iz5s6{knTBs_iGjODV%O(98 zt{j2C&MRr_n+GGkV7Ntb00~n1$V^qHBN$R>eety~Ou8hIsdMF;T2GHC`3B?Gn9VY2 zk|bPcFbx7!ox0<)&>4AB*5K@xv4U1jTNS+lgO4+L0hz59@&M+jO=HVof1oD>N()JbF+J#X{d;NM?rlg5ga$mhTQg>9V0e6^t?T7utBhHhym;-{OZ?xQn$zB zl9wox#>Y&>KC0zCZ5@n3a}02TDpI?wg*X)VAcVdi&8M8+fMoxV3;Y&ZVg(vTh|4q_XB;zkiI zkkD3bL192C)QaJoOT%ngd+7(IZ>VoR-Q}btsk#kDs^S~6lc|E&fXMBM)yhi(K=a8x z2%WmKcd@vtZQVPL5JwsL1r?8}u`*74nAU0sKT97G?6?qgX|=+_D`(HKz4mO2S+#L2 zesl)u2wI$K31?2UuL{pen-?ReLuSbo8f*UnTF0g8iQX^w3H~QciiAyP$;;`NxyAEP zrA`S2qz!%Z`zoj1i-jEzIBM|itjPTQF`MziFR;m5(uFAYqd#b`20d(-C0^L)hl`kq zb=S9VCnnirzg4ZtdlHpfdf7a&ki!lTLgWDRr z*tYv>tOIK~ork4lb6y@X#lY(kf(eyaoW#c{c~=W0u}D9F2tjZcGzanbqT6a&5Z=&& zCV)M;Rl6I^!Nw{c(^)Li*a>?s8x`vTGks+O<;SVB;a{DB0|;v0R=~Pz1IRf_hN~Zr zn`Rbt^PE^0)-)8sUfHJ#`W9l!#shAYvnaD((* zJqs0{3XGY=KylZ_rlmb!Li@5+72kS1b|CZtZ3dqa=)wqT#&HH8PmpdXT4w{AV2yoX51Ol06FXQbROl$tAqjZoL~_-89lPH$I}aa zzTFfpB8^rT#w;b9MSL1HtQrEXylhFO?{cpwfR^_oq*sXcbaDt%gRan}$PFWf+^nNR zykJaPY$o+c!f1g4H~Soz5m2glMn9VQRl8d7vZ6qG(g}ORN@)-m-SSm-rwtdy=}=-0 z#f^fbwEg?JGaK3$3gHI=*fZ-Zq`Z-MTHJEzMBT$q))I=}-ZlbT)ufwmneuA-+{ntT z6_Zfn5p#H>Nt^Wzfgf)v5hQjD6}&eRO;KyT=X(!e4?amzv{h7<8d`J^2cWh8O5)5L z?PXn#l5twxfWTSs3jNl_Yf=V}vZU1Z{7atNgdx5vr#R5}6&uh+hr_VxdRen(Oh|iK zZpQIFmFrqpO6G%JP$|l9|7U>%g-y_3!>EVxKV?F&rMVwb8$+QkGNn~=cO`mQ(^DOD zg1w&lIqrVpg-fzqsW%}Hk0%3C>du(7Z4}8hKWWol?VUN$y!;g{J zH$laW#rj%8c(g+iehA64in!Mc{y~X`u*Tx9Gv-wk%7>yLF|7NbSLVh6aV*A6;#|Cp zv1us6S&Ax~9mWtph^7|C?rnMEnQ5HTH77koDVLzqRF>INL#>+BjQKDnMKo?DE>;2a}lS|AcwfKpq*A* z&_dGzeM(e#j|GF4a7<3eJWuM@!(#98F9bSQ7pk+P-!q|fRwh%9$mD8_S()0axRU~_ zG=0BUqx&*-U%rFnz#x@ThL|{9fbpVhK!*8YC9*i9*a%mQRcdty0G7z8KEYA-32E%V^MyISEjOY&@ zs3K#Ay$9Y@rV*w@FS!xiLamJg{lcZui|wdthIx!!ZAv()7a@8bxuc)lZSt=NgN9mS zZE#`&ImMh&JX05jhKmDJ;zy!ZbDcT2r^U8A0uy@erWig?xh9$ zrkb9OQcfmF>#)t?ok%oL)J9QCL z@vI0XDy@2#Di{{kAt?ug0AakIi7hskaov#}^BShz@~&3Z~MO#6ksq!FL_$<|qn-K6X$ zb&B+5pmtL5S-KP<4uzW}U|=3nm|eq!-rx!tWx!5&0FPa_@}g zS!X1qD~>|xemVR{pj_>%H7lHKz=NEwcy%T6#&*9=?(^#pnO{%y=OSG) zXK_-?2Z8VY+xF?-6gErsrV{EIvWQU_(f#|W{vm&%3tmgYz z5UE1!-#W&a@8KaIpO;^R_dK;CFus^W3*R9T=t1d+g`6&J;};xc?$3B0eB>KHzrxL7t z%iplL{XV-jMpSB|KelGoV?Ur&o^fggaI==1bd97`ON6+DvmOv|#<Y1hS+Iz}Fpx8|G|>zJ}DP|nuUK_hPIUL$N>;sBv9 zqwtShMZU0#pu0?vk@iK6;($UB-m+egBx;7wzXzaD-17#tX#B=)$)9UCPr0{0CV)LJ zjbC{O9Ad)oL>gl9d5h~cO|&|OJ@TH2Y=wJQx?Q#@Fon)0Yp@FZOt@PmNoJ3=@Q91w zd?p&KGQjPW%|lVm{;~$Q$&26v;r$3orb?-mzYZzDuh4DFeEIPECPpCIv}kh2Eu;&6 zv*B~XJc8GNhHj`k;BI=rRE-f7d@%ZC;o?Eca^U~Ec=h^J`IuQ(rSVy3wN z^}eVz(p-=_w)N}cSyjGI+jJT)1o4wzPIH0eB=J{v>krY~5rWm}>z~WJE0{T5KKn6# z^pI8FlHg9H)uTRvvAREEOI|D}F>=W5aX&%j_K_tcY5}!lGJDL*)m(@^t$DbX_pjE= z-||@735Ah7p9{*~C~!!J36-uAK)j3z%TXkh)3hsSON)XD=Nj_6vVPov0I)OpXP6WI zruBTD!S2+R=~qo@k~7u*vYVS1s;nGn0ydc|0Dzd=T@-RK6=w=%WP4%yy^r(&+BnNW z6wpze@jY%M|F*BN-YanT=8k2#wj6&WLpUSGuDH(A9isU|)}8U`C+dE|LcPEb##3Ez zc5I+Z7QDx$V*};XSd^nMAn%poee4a~dI~0(Zpi+PxASnQ=3+byz z3Wvz-dTsyi#UTa`j=Py|x^GONYHWV_>})h%w+CuziOuj0&^dbG`8>KClS`+YAdZ>c z^#yVrdN|E@Rhy}Z*yK4@TLQU-!9G*CL`h?Z$h1dI_Jm-g4n2kB4*XXYxKITli1}`c z{Vi5m55cbCvkAZKw#e7d;OSN~(U#20{6cd}iC`kqiJAp{KMM_JFq#z=jx&6}6z<7v zBu(aUlv>7ROK2Z9F~2=2=pva{k`9_0UWZT{MG7;6rg5?yyO?*4?T4t?0bqzzJ_k+f z24K(DWP&Q6TZv`mT`@-L8{&M!l7jeNZMbdI6VH3w@4?ZZrn>NS2)pIO_7&ug2Rz~e z=6m2lf?G|tzqkpMc%}*#MVg7+Ov%blQXB*J#`=u4^#}H~+;K2z8kTxbHAff4s0sc; zsz`F7(E8tXd6cpq1ZB=c#gv}zu6}P^>JFl+tS)#TtO>d_AC1Gjtk_U=z7Ln}3H+R% zaj^Ims5_WV&Nn$b0eCA`NcUJDyRRc$vhg`ehJ*P@Y{9d!(h0*EHYNJoF@J(YKC8jr z%Bb`5fMbC2;03Qq+^#QWT6U6Ak+6GkC!0IhsJJ*Byyq4z3~-dljnQK@s^hDP{ZLwN zz&1}vW#rMeC;#JMxF%pKsBz)+4 zreCUhsH5nImLY3%h-1FTed|XdL6P~CXO_aOBY#hu_{6g1BvpK>Ax2d6&S|BzbYKOLVMqs|wZ zT7|~~RJ)?br4#S2B!$M~xsdRxjf4m>q%_W~8c;>Ee!Dw}Hd%dk45nX3JbP{Aclzzz zF}bYF8HfW>;_)YR@l)#d^vGug0=S{Bj5tQPKt92bMOe zb-Nr($rtP3vUL%ImLnL@E(Gu!`l$O=g-tr(NN;6pMf~k}L$N%f!b7W7?xXn-Pg18w zIq9{u3D~C=sH`pc)SDmIQo*3*gm^>4py5=L=>DcZIO3-QsTOJ3qn|ywEPzj^e{QS# z34A??AYQrqLUfV#@a;(ODm^L-v%cgt1v7Lx3%t5?08|8S+mOqzPFluTG$%z}1DrLQ zYeGo%)S5T`mTE@TQNgffUP-tea0oogG@-la=Pv z2>}~6o;IY%wRWXQB6&w#ZVL(V$9c`ZHY2Kc~= zs7H4_WlmeirTF;84%qV;i^6|b48d53`(|;`dxK4jSb-L&6)|3M{rDz&{$PFGf{L(+ zqB1X4BYvueBA3ddO3AMUNwqiRerouLqI(vMCWTwf_?X0&gJ@b?G)%OV_XdoW(R6+A%M!Md+&OHS^O)uD^1z68A9g zzT&GXUIlAL(X4o3Fn`U|akI-cDlAzH{2rw^9{kGV&QQSq1mW|C*D7Kg1|hk?!e@}5 z=gcwvAkZXj%d)PjNt?NE)|}QS}JRd)Afj*=dD}zg!uLX~gag&DnV+qw4jK!#c2y8-&^y_tYp1mn-h^%4xi(iK=;ui^r5AM1D{Gsize6AgdgMRLB_(m zUW6$Ao*P2iyYTfcij&EnAR-ZuS7H;V`bfe%%liTQa9u77E%p~BEXfkf91Y(BrZJX-l%5c;9^O&z4x=tj* zL=EX0w@72(?xgMr*x|RHQU*gqsCn3U>7;xqbz344Kr^gQ7$MS(<~_9d$Mjjhtj*{{ zYB<(v@?Q_$R$xQbys|s7d4e7Hb*uI>AM(2~u%CvR!3e;+>u4$DM9%EY2)yOodoY5i zBWIA}=S+jlRxLX;fj1k($mtXJXgljl4AmcVD2=Kr2j;QOF;1tI&E(hAHdr+*S zC%K}XSo8-c%pFcgrrwtQF5(xxpTd{Le%6=nZGBnJc2)Hkh1x{@*lZbziq2J!*r=Nz zDmtz6^w2~XqNW>vl$x|?qF9UTsVQA$ku&#;{p+Mrz?#FQfk3RuJ7ehuuj#KCohxz=KLc2o+TVs&vi#K9}sPV=F! z$67$jGe}{q@wmV{9vL5B3K@`XP6MdCHfIL+o%?de;arsTI=EQrahswq*5qOYVsG>USU-tzR_H;2ZoGG#&v#W zIKQahkonPxfjhdQ6?ka|o}mx>pomI(r+Iz>)6qHQ{02$CZ$h`DY`s8=P5biDt3UPG zJeRUC4S$e~Nri2Il*S#` z8a%t4d)361B>R;l+m(a99eK*K&4E>`x8OkhR-#4LW6sUc6<%T#VwqETaUZfarXY&P zHEthj1a~2Z9H=65W&|=0n=_@=gvc~hK*T*#{A}KrRF1?CYfR#^U+TUzJ$j{-KM9Qm zi4!LZBx7@0lqJ3m;9DZo{H5_xo>afRl@yeMHQ0$r$gnX zs&Nm8q?=?2o^mZ=R)4O%f@crm7I%%_F=4a!wvN3Z8J=T13t}jAKhS|=eP|_1-TywS zm}2{CLeI#1xz`L`ZL55Czk!C0fC^B*#g1YjFR>^~Oiq;Zr${5i+M#3^)h=KdL53_( z|FVh)#_&MFG{$0{W{$2JGe^BzQjo*Mme*;CTSbvf>A*zf_5?RY!!+<6<3t1{;W`8d z{BzQC4C%pwP(C{#HIF5?x|~A@@0g)!%IpUw)X%`U99iNG*QE{eo^)+P_JM?=MaH+v z&U|<06Mti}>KcSlaFrT(y+-Hc{`N}c%zh}o3KTu4qadm5gGl+F)t}rtT>)cArqB@1 zv6uo&WpNzZ?Q;CKREPWZ`P$(a*SLXZh#eex?mON`_nLYVwh-hGa+Kl9-+v9k-Gzd~ z*2gNF_PcD&F|eb2hs!G?3_fHeF4t*NSBsog;S1LtDvva^9Y#BTi6Sm? zJx9FABZBNM&|rM} zar;qGP01jM1xIm6v>emu__(sNLhnS-59}BC?uT5qfi=e|EDs!GOFilB9YyH6-tsTL z6)ci_rOLbRDR>}Hird7(3$2!n0zEhaHVlf%gW z#G>xY2vZ!M8W}|TjX=k!kd*>JEs&B;e}(znMovh@pSMGCG~8ZZH{g+mwaJXEw>zoo z&oA=nQ!hcQe9^_MgmtMtTe?H{x#%wDjTAo(6b0mb7W9k&6|TMxIDxZ2q9yR2r_)nD0NQ!vSoUa z(*vw#31ToTlD=l7#w5UTD-}S*h*1|0@BHAkMFdmxYL?Ucj+rkD+ySX7pbgD&qVjPr zZDrp2?Ka_;XTnRylN`U6EtvLeo4Biuzs!u(*+*7lTj*~|DN6(SygcF(G|6x6q`8hq zQZdz>&%9z6!8SepNGjc3(zgCecw;n1rb4@rAv)s*7AD4>Ka}IEyF7$s@Jn$5*%Wt{ z#a&Yuk<2`t(Q^8RVtM#^AF}kIp-8LJ)WE*6nr92?Ew6?o}XkXdaul@&JO$*ipb)amId*u z`e=ITg}?S~eqGHSO|-loVoTDwy9MkChw>wa_H;%E?fa*xcqrF?;YynmE$AnzzQ(fH z+(BL;A)fV@wMqfW3@Df+ToCFt()Jy zu;G-k_93K>Mo6*X#&n8oUMDs7IMapm>WJr-fRbnR>)x6LXmphm-h72Ib16AIuxJ)~ z6{R+7m8JYFS=rCgp$3l9`mGnYVVa;j@!RcS&TX70FW$=bgT(I(FZ&oQ!qS0=EuTHcoZ8JD-%riUR}K^TpcY=(ZI8G3eO~{iw}H6hB)8pRJG;k#s8Z|MV+ z(wZ@37WZP4@hw8Zc)bc1d5RwCtM!VT`!eVHC>Yx|p1|aebrEi-d}$2#PmC5sa*Zo> zX(=sKi%uHfC__5H71kROiejeKK`dM-OJI!PE`5cV1bG~|uKx6AF5=(dF*0%gV&?CM z`zP@v>9On_N9h|@o<`g)MJ96ro?tG(Z%y}xN`$0R&gVyWO$4yW(|WD)o}>Vk%FU_$ zKj6nmGNzP&27geRK$D}5@c@o|(x@)87zzELWz@4^ju`?cCrt`9Q8LLi*c?}y<$#8N zR7r!kQeY&Rbp=^yAI$dZt*}o0L=;r6XExhDsIVyX#gbD6Q0})N zfy6tCY7atbAT)l))d1SY%{`061L_?yzS%>GilhnkE)Q{uYyHNR;9A7j?A^5uC#uR2 z6!YW&1rD0d00T-mG$&h2cpk~<^6TD}G3cyIUA9F6mN}jBxBn}v8w4T+wZh2$Y|xrvL5N)16?WdS zS&>^7ISo}9ORv704fE38%+D?tzn9RDf_WF=V{G2j*(&Y(KwnZQCTk2%=7|kVZrx(* z5WY$EJ{Uj$=DmoO!@>Z5}@s z?!d~E(4tB|SsjzMVWqt?Q(Pz|nXEfTF>%U7mKCm6Q3T^$k+t$FmKIr+2T#FV!o2Ip zu%=2X%Ve;Fq(**Q_I{m0w0gt0vNJs z`^lEFNmY0iE0nH!(g3gxu9;+0McKW$L_NBKQ7~?;QDhVy>hGDE(1!0 zkv!aJO-?jjLTU6POQGKd4aT!$gYk?G4tl9^T}}*tfKeeyZo1wn)#Z_b@%OKvm?_Gr zFrvGN@(8vP-A#IUdo3pUT?cn}`xhl?m0`JRckbgb3n?*WC3ZMr8uG#{Oh4v_2T%@5 z+Qs%d@`{&IhWZ_*%iccL=#-*$`8EBk(ei;s^NaglD1C4YQF`D=1UXkR{vvG+JX<6C zm?2cajj1mf!>1?8-r*t&Z)X7?cSXKZOr-j<=RJCwrkWCZc{(K~q#RHqb|%`9p)xN+ zv324Pk{rlOC_2yR>^Lr#qe&-EoTR;Ef)gSQ{HGhNt&hC~t(Ip+H0WZaCK)oR?VV1kdDbe0YxhW&92lxcVfp8r=~_(P01`C{&E5gw~NE87TU{D@vsDVSHGg* zr*+i_Ew(~NTu#gvVi~F0OcFt>?R7_v&|cSQT1jzzE#li-71-X`TFdAf0kkRYuZarJBov!~x%j*L-!Jv8zAUIV*fKmEdswM3l8+ zz}3M}Cu86Nto|Z_b3l^0Bn7GFI*k!k0X!8`bj;WZmoR5T!Og?{ibYbaE z3Xx)_EhjK+ToPeY7`DfUGUCil?;|25R0(zB5;lOUm`^B*7vOMS!wsWS0H!rjCnNj} zI!>Jc6G4K|=7IC}pWZaH^7##**g^IMPQGG^KrW#hZ%3nzfqazG2F$+bR z39U)yR*bSq^0;hXK&Ha@CDTESK5{8751x7Gh+c^YTE{f7nii4nw~xzPTB~(f*x2|H zKhip|fn~KcA5sT*y?~py*Ek~$zP+fHC&_B`14o0OiF72F1(R7*r9YaI&V)-fq}VkJ zH;^cQy`fPtgqLeL+v!3^fvFBrBKn*u&;m1K25Bsd$(v-m)xvC- z=V^DEl9@i+@EnTPdPPY`_NO^0EeQ?;2;JKnMtEg2#8oNy@X7a*G}6r4qrJm}wD48` zAJUu5tWa%e74;eekC@ct)%Ti~;XC*$RAvk8!gbv*hZ#3$Bc%j_OkxV#fqkN^ zM)OI7JjC;u2ZAUcq)Q!-HW7&O$zd48RbDjUeg;#Ad{&l~r#bAG&Js7c4$&Xf=skes7=QQ1;Nu;A_eNvzWLZ_8a`&=bTd|~rFQ;0;%6#tZ5PrzBeK4M@ zWbTFz*U`DW&DU>N4OFB5C02IMf`b4QWTHR}gYktm7DID;*^!- zkGN2W36@g)_Yxq1t3&a%=F2#BG1JD2L?MR8#Y4R+3%{D7qhS;BeNEHV!DOgaHVggC4o`y=uSWYcp-?rPqExuRPGn03IVPoB%6mn; z%R+@$g3i4z7CB5$v5uFG%moh(gO&av#ab4~$UrXYRtD!)+5|K`=p3 zRFKCyAy|+&t6pHyOvD;9QJ<{*pqFpBWOO4PvNFJGhE@%HQJcUSzrYOU{RBg-<0o;3 zF*QYBfspp`)m8x4C-&^6RJhGVy-SFW@h%!!Vli2iHp!v@#@jUpEL^;1{v1WTpS$qBIax7 zJ@vpO22c!a%nv=VXJNhE!Ij-^5@1~`62xDlUpjaK&6OCpe95kNgcH9+>ZXuX4u;^p z3=4wwH4+{~6$R~@Zq64~rL;%54Fq`R&yvTElhvCG-8R7L40ll}kRy`oNAiU{e)LG& zW#1ZHHSMX#&8S&sq)fe0KwX#{eaQzu5XtuX99{>r`G|rI(R8LVtqjT^xKVfri>!+$2)JAHCCot+2c*~N4= zSK1H8Ort#1)yf;r2Yri~iq!wXZb}S7g0Mwp#hb79SS*tt@*-UZuVXgE^fL!q3o|u` zZBA+-#c1{2?eWmD%sw9dCKyw==wa|%IRQ9KN<7!~6yKPtuR7Tj^PX7L-odNmudIAZ zd!ynem$MQ*NYb*-@nhkbgMj~gcz9^OhONc9%f(D1>v#p{yW%=B2tH1xGxp~Hl}|og z$!p_SPypbsSd+0747%8?HhExw{-|D{V6gJBBHNC8;nyO`7Pm?XsnUpul$T;4UJAN( zmm<+?Dfeq3R`Erz9g8V1ws(SjatsrtjpI;5_B46>FMT3$Xr}2wjmjTQm!*nUr-JMr zp@oLH)J$(wK583Ju~XQ&E#PS^(k?>ck4Zs1R%y8(G8I+sB&|SE2qLDE_$lO5Da?F*jWKB} ziyhY0CifD$@fGX^3#d?_qlrzyDr#MHGIlP_0~7QjiVpj_wm3ixZjk2FZLcNk*gQah zM&J{0Mx`6oomUO3Ic345n=^vkM>F2zv*W=0m4F+!-;?+C`wZW0`7k*0dOVYqyvC~X zvNZ}jX;K#{gjK;T_T>gSbO`@G-t3n}zGh)WmMYTL*A;eQ)(6MFY#S9jhwWBT(J1t0 z9UZM5n38P}VHPwTEi#J)%h8aaFj@{(9)fkby?v{$pY8w+GNruPNt!zg6uAW1zjx^I z=Enid%kjz2Cng6D{z~oRmWGSY)BIA~JcAeLc{R^XAO3^3v?f-Fx6gav%5Uq_r8heraQk0t%YrVB_O2QTH8|k80O_8ag|~i#-+cA z*BHRY8anu-z08&|;%`fd&E`LGWBntacEJC%31H`-HiOqLo0^@++OXXUauE1yu(xJp zxnW~D8Z&Hc;iEJegv|(Sw%^bRIb*BJRh4z4?)Y7^h%X+_&JK?*N5Lf?UL@b7iNh3VU6%A!1iGSU@^G8$IKKPjlKlWRXssW46&-1hGG zbPK3DZeh|(ydee0LEcC1`xdm=kn(u*J;-7i%?Nj8(?v$?^6~?B(94t6;neQHMe;ya zRHdZMFp8bJfaLE^(3#4{Eg2g+TTX$AWey^y&+!*Nkc?uKY@Vz$MJQ9Ssl+@o*tzA{ z-oPrsbcPWz6VUrDV+7k)uqUoCcYRL3w&L~86}AQ&&8mb-Ix76wC<Z$FEhO%sKTn>(xwIas8;{`Y@W8)${Du4IDFT zhZJqx1*9}^BADQsecu~|L z$lckDi0oxt&(b~_h5QIzwU|$@j~@e&tT0UicrS-2wrZ<#?yMCMmDdS^3dopePqfE@ z{{3rpTjTTkQ|VhJIQIcN;otaKXL#lr$_y?h7KNESuXWz;u4)biAGdOM^%LypXcs?%7X}s6Kx2A@ zF7S2S7}bu-c3abS-;o+ve53b4BaOmcQiZ((<=Z~e__(pw;T;{r@Ss^z`q#_dL}vS2 zH_~dd&5N&}yyOuc9p7)=iROllj7w&ggGVRs|M(+R+A@5uxYS>`s-lEPN9EE<-ID`- z>^$>rwv68e<2P^M5u=C_e{9XZvxuAJ2dT0rhLXlsxo|wCFFBQrvpRjn+YqC*4&S3T zhQ0%RBc@!Wac7iF;}Wu{uBcLY3bvSPanz~j8|({K$F_@SvDd18b(8xFd*eA{VkB@N zwdAu8qbN_qrCUMg>9;tzCxO& zoiJK$N2nAiRtxOl>GJ^V^@?<8gR%z)R(olCJft~(x*n@@FgCD%Rr303QSnccPPaa> zwScL_1$sN!ayZda;jqE%V5Q4%j+sx7n^autJ1{gTsY>%B3GO*tafFvKl89Dy7F=E) zA~Or--m4^`{3bKYDv~!bAb+QkSWVoeaAzsXz@r;OR7bN$4lC;Er|n2wfY2=Ig@P2{dODoMjuT(4V$?bIfF{o7V1#*3!RbA#vY9xd`%l`=r9BE1;y;Y+Fj zOkR^WIjYlCrowqi$jGg;lNlT>=bv-R3E!FWn|NJW$b?>}>0n8GvY zDbF)7-$o1xw7-*s;B?ZT2_t$mv7V~pxtKdi5hw#q1_t*ng05Bz%o+(+Nulsu`W9@ip;*Ca7gQxisHaXa)*6ad1m=X+y5xFuf2CP;d{`+Y ztu-+Z%T1myN3C_o-#CSe6tcg)*!Pe!-!dCP)IBOF3|no2GjmGiqci@ozuXZGUDrHn zym1Lu6X<4fxCY{^mqHM{egd90d!7Gb7RUfg@7awMq)^g5-@YS&9ihL z)U;2H;{*1uV1wL7>(OLbQ7CN;dLq8F8HfnzYIZ4N%m3FWF6Fa_=lSELdz-sUWPU$k z)SST{5J!SD6$#}pFOC%y)S*3q_Rth5A`HG0Hd=&F0maDO*8==(B2E8P4@=602n zmfRo>l3Daua6U$I=i}LZ${P-3IR4Lu0ZZ7}*9>GHTGbZVAU)}Yg;0|bY@Th-7L!>} zOC8G*Sm0a1IY`8y@OeY=r=Yk4P1JiR2? zVZV!wco3?1);ow*aA0MOZDNXl!ED?R*EW_mCMOh9?%)R>HRCr{*oFvGaL9RaWsF^S zdlPEvCis$n=d*!K4j-DDr!w~#)?R8C%mtx_5S$vN-VGUAoAABj(`7ZC4&Zjg% zHOgi}pNZOZ{F%Q7!}>k+@mS>WozG|Ut{gte>DZFPC$<&k3dn;1YxmBG)bI9hHAHq( zQcJPgcVdSoB*Bu-gJ_y8;ckmtmFX&~;Hb)ENF}>PDPag^lQpxf7wU>7l4(fL*s=(> z65p`Rx!7$&uyC&&wQm8X3*_pgRiM&Qa0fMj!tO!~5FH8$PiLe>8N$l3YN_p1xXl@q zWD$P06zZhH@r58vk^}gj3EYWKyc9&7aOsuRV5$7>aG(w`L+r5q8hrK&w^>+{NDbJ25E~CuWP_w%v0Ng5fbLQ-(4s#s%)3( zyvt3fkh0JY7zFq~bAQZCB<_0F1N#cKV)20tD#N{o2O8Fdi^O`+hO)JJ3~i*EP(Br+ zZH3S}%yEQMhkSzgV~IbamvBly;feA0HBgQ+p5^_r7;EH1TYMvfHeL}%xSn#WoUq{+ zQ}U{Lv`aUfJQh1*mu)9M7MV}5+&o6?$4JUM(zRx!9o}Xw$+B`vN6{e_0UPxZ)jKav zUWC>j+{6amS95CJioBKMs6qM zYnQKx{3H4@pc*5l|FVIr6@zi$z&b{Y^~l?HTAJerqMooL=|MxP{3+LrRwSd0r{p@) zaAfc5k1_!2iyIwpcEWPm#VCSn_U_gk9AX5h!9BT$Yl^Hwvb&?ZLX>UCVn4mV$IpnqQk?}FdZAlOCof-l2uznS8% z@nIFvKxfU69C}6c=v2ogYV$E#t5%H9Pq6P`u;Hq9+SvdCbRkf? zrNv_o_7fHsJ8ppytYgVvjPK*5U&-V?yJ!+24{R$#2O%p7D4}!-3au3C>`~`Tn6A-g zIY5|7Tqt}sBA6++=t>JyEBovU>zmT48ihM#qh@rgEV|wQr4_zAhMrbb*%w%Xwy`tAWSpN8}ub;W=NFq(G8xO8~SL-wmuB0V9k_P5n{|J`_7 zwMbw1YcdMtk(-k3u3a|Fiu`8TTlpRRYgT~pF!R(te8(^%B{sOaOM63upNmUVajnjNxLp$PGI}K3<|mSN^e?$6yptvJ&pOC8Rcy zH(N;zSanQ9-rT9<;Nbj#YLAb!!Ca=f5~C>2mo;*Z>sHB+E<8w%V!$;iEj{+);qg(h z+oFS=|0Q}7i3e>~PitO6TZw9^v#UifFvCQp ziYg;fbBt2FTy11LQq|HtDrsd`)#I~w`uzFxsc%Wo=F@OjOo>OqS5fa+dL8^qtAep} zkJfQOr4Ae&v_eg-^qsXkgnmnWEAn|A1S>44unbkzO>$}~{&}u-?H=l)11xh_se0H1 z9WbcjC|DX{?e&RrfoA?xM#k*1N|p&0aaJ76h=}c7(B;f!a9w%y$n9kILuQt~4Trn* zcqxPj%UX_zri2M$S`6tnmv6Za7ex}M7}0|@eFKUvRj)(TUlMI}m4PVM>(a z^1K6l#=y#W3W+T9O4TT+Ebv%^nRFnqNX^krxE~Uq+V@S+Fum*Vl?k$p33GCIUDIV> zC2EEkwWLOCY>`&oy3r+09qoHrOHN^BSB0AgAheSdbhtB0oV@)@pUPrttsFz$rJGIX zr9K?aO}-7K^0;0HF|iR*`k4$acK1z$;WjiPVLrot6Q^K(g6zuE{dSi`QtLhlt~5cqYTDT8Qj1qV*HO!t&O6|ce|u8SPk z&0K_PP&UzO{e)vK2&PcWwFp;&VZf=X^5W?;an+y=HqIhpjI9k;BUwKYY=sCuAfNF` zq#`^L1FP>G&}C!2@S*QPlJlc^v6K;3EB?~}h|}$u&p@~Jlm3g|Yz&Dx4Bt^QnuiWO8%^VCgX2-XCDu5vJ)Z z9r;~UdwiH1*p3aT$7au7Su z(z4qUoF*x$gV>?-mFDgp2tCH`YTIn|QP=jp5am~0=qi*~3H^EqdO)-YYcl}a) z6S{!JX}lnQBOMJLL%MGf`q!c%gI;G?1^SNe#-$ZqLOdx(n51{uEIp|Kr)ES+@%hLa zO}Fu#b$7on=73Kyd>@iaN-v8S!Hf^EGw*7$ysmd&Q5wE4Qzk*p%q775X;%)5NpNy&P>q_=suCx3dU1#jWGgt%)-F#VANt zsxs|i@RfSo5El%HSTKLrN$`t+|6bsjz|e9Blfeqjiz~nL$i2(wCMoMhnJkl#s9D>J zIhfX=TMfcDGv_`pN4_Amgt_a0gPlE7+U)E_3~O1Y zI+>~)Aqx42gmQK}n?ZH6kgx!DzYZ&XW6^=TbO#=9kRr6GiZHt3#ipf-)tXe4&44`| zJj;fcT%u%=J)Q7^l);Gn^~}unQrr=*@;e5UpGIMD2t<0<0!Cx z;y_I~F@h2a!hP9=)mJy^u^t_ZOQ8OqT+qdK)&!$ykb+Jz84zYdlw}?nWfbf;Q34iK z-;A7TG3+S*Cn7;rhC(2JN9p^|lk_F8zm2$vtctc0N^;NSL={!=wjCl8f$QEM>oEi954HVtP*Ab{PS9x%LGV0+FhE@2lHQn(z{a_LbTgqU> zk{`ww=d=h+lfyj;gVuM??~CF>2PDI&2hLCnY*UJ$l`k{t&~8qHy6It{wK z_NH$h_S4%sOJLnUVB#YlAlEOQGy?=hLiNz#9wV>IB&IQ{pGqD9pY^;AVL|1K5DqS~ zrN$r_>xoFl+A_~Qr(h5w!^h$*da?XrZb zUg5{1Nom%#G7mw^0qgdb%4Ix|YCLy=#k)w&D$lQ!ujCu@l^CoGt&XxVcpPTo5@8Yk zl5$=$I`s^hWX6L8Ce@JEW+m_zrB1o z$y}kC3wzp@`36b>(dln^-XXx#lpLaGHK{6Hp>-HA*L7$ngJQNZY8T&SRS0sD7ZTe* zo)Sk^%*UQlenw%$?)km@;#STcYZk?`zKC!(H0$D7L+|+}aaO>JHl4=IKdBSrnEau{O2BySYa=rQm z*5X-Uw0RMugj6m7I84yG1I1d^AoT{pjQD1AW)9G=8VN=~S%Zc{R|p5NgH{SGdw~I} zBaBU5aFhxIRHtgv@J$+8zBvpt5a)a;c(j%KiY#jiPUWJ2OHV|s8N6NWjRR5y#4xcq zE{Oc$E+N`$GRVT$8z|x0kRG?TWRi(?HJ};@&g7_r_TqJOKBt;Ii*q@PwP*gJHe};K9>^Ur_W!@!~fWgGP=v2(%nN0i3jHzat*Sln;?&$S6Bb1joEegEKOhK&nXM zjX;PO2@!iN3$L}@!`w#RR>?uYCrkos%4*HI*3k-E;=ix$(WqZLo>b&RFBS1n7?CKa zD;{t%<_yz$C-EPIJnrQVQY2_1c=L_%cY_3*J}~@LghjNmQVdv8`4wo&8T>>VOOoYj zzBbgcpX#I8*`nCv|DG`5G`>o1LdHDY{`lefw4QbL@$x_h5vYD(riSMQK3<;2@D~`K zmdy~yb`Xe_G%+;W_0Dk(L*;CQt%O_u_MdAe8olVHBEC z_vVCM9?p+~@%f20U6;me!DVZj4c@zmQ`|84GK4!&gZjWwUb9QM<&AE z4*re$NNaAlEFU7GqBf_MT)y0Gx4wU0MlQ|vm0++UL$*lgeS6FqqpU!Qv~2Oyn{7`;&K`+ zkkVx|X}a}A&**0|U)~Y|TpdK@jO&B6$si#%zT*th^?DH_IS0Nd0g^HD#t;>cZbZL}uAQLBpIb*t@09hfT6tlRoiox0 z=Pxf{;pR>5Rxaaga4m$T7GrPtso+((!&9_jVzp4UB6R}hQC_M%OMYRztDm_w+T?j^ zhVQ+x4!#RxiYm(QyoC(tOJA0V_2}{2|8J-KzSz3t+Qg`!4Ffh2qRhX4< z_k6%%4^kZ;*WTwQyii2YY~o>1>QZI7sG(rksDr0QXXhp9qArN}v^0n)?!v{Z2JQ(M z>H-kH&X@5vk5H+Rtaj|9G7`^JtkdeqDE%w*%&MHvlz2ed0~K|;JihQ{L96sRnGVUJ zkR2b19d(68X>3vDg1zaLW?|DfYE-{?;3GSaxQM4#Dx1!zBj=6$%fi0fVYv~V>EoC5 zwM^RD3Gq$W2884-0l;pM^cMGWk!)!%Ehj;p5iE^|C(N0prU-wcz8kL!*k1oLK^5|= zGz4Qb46e(;RRx+wv^|H9OqMnPG^97Wz!~W1J2?hHEvI@$5R8!^_TBdf!H?+A`yG6Z z9~m+8J0m_+BV2QaB+utELX?rqj+8gi$;gQ8$}#lyD}L(i{R(?OL6Lsq=KGEW$(J(> z(K$&*!#QORLJpQ5zw3zd5{Gn#^Kl~Klv!M(sjSj$o5O)mX%hY7h~z^wit=6)gN)gM z{3rwrKZUa`#vN2T<7i>-m831-#Bgr)NRyETH@!^I9pe`##E{isR`#qu4T^%MPCQA zxiejrcfyURprKhTzoce~!j|>xJ4%DOnnIyr_hzg-52LUSzT3gq{4!i_;rziO z6h=Uy!AaMamkl~wDU`a>&n}Z{Rm@1ZfagZ)K`WNQW>enR@G5R=nx5@yoSGKgRjp|v zM(d?#U3PRTl)^_;$(c%2(s5CoPg0dj4 zV@*Eu>qgE!sgct8W$3^T7JsB-_4XFo|Aeog`|ebX8fpP1U+qaYC6UsAC`Wvb&@ritA>P z3y&J+!)B#%h=sIJ1DLdy`;(g_l2P_{Mz*zde6|#zQe{*<;~V`jeb#V@QYpeYSD^Zj zhb7c{InivFxp_|9g{Gm8BX=+-h>HHpS}_`#!H6!E?~zDwB;H1x4G$!8%qfg8JLPRX zJJtLiHmy+;4yTLPB4SQ~qmnJ&c6#Rexp!5(Ng2O1$rD7j*5qmQ~4z*Mx#+ zJ~>t4j0G>5(>F0?TTvkfEf?@Nab-L`KMAhZR-y{$A94u6$l;T*WUGdb;^p7ec!sFr zr3U+!wz5POQ^uFtgyougYX?8h=2Mgk(Cj`o!^mM>)-~D~pjmaPyxS1p=EXgScs!-8KLRBrAbu&H zSaa6nG?CTkhQ5lbC|@$65OFIginfQI?nu*ylijZ61!pLIHrQbQ*v|&mBE2{Jou$ff z0N+!Qbc-0SK=YUzu?I?axPML3uZ?=7D|tYeWl4ka%|y64ur|@eX7v$L-x~oEA&Yz` zu-T(rRHm2ZO8eRTTkDj1YlGTL&Z@_0LWkKpGu9}Je^;SVVY*?X{NNg<{vpabruQ17 z?5L-vsdtdxvZnqqiqfX{8lvc?tH$ZC{e?rE>ZYtq_I@>y=QEIE(FLqg?&wtHjbaG- zzig&sTl}VqowP$HGze0yq-!YyP7i{!gWyD%b(=iV>a>9)cQ{fFK)XTO+L24Zea(-c zx6@0ac<`0QbAseno|Ocl2zt@6VV+Gou|O{Oh>Zv0EN!roNrQ;-B?uu@61Q!(l&N)i zxe@&4pB=7>RUB6mCxUn#k-lSmZMI$d7Om3D{wi}>iIPp_F1q}$a(eCWa~m|6UOglinhVrrx#+f%`YLkc zzcKx2`uzFy$rCHEb#E5e_L8@4RIWEti3EA4708C{VG?Lfz;7%Z4VeUCq228^-Na3B zd}P)KYcR2Tu)KW)tPKF?Fcwyi&D~W_nV6 zw6Y!&C>aqMqxmDl?hd6m1zm$#GRwvsDQ87+zYbJnCV1A{RlY;79!8}1ckV_$`zqdd zbkUle($Pa06?n)~y+GY?DfJtfd&Zy{qv+_LX2h7Ys*D3WWx5@?PKYbb?%E>!Zq(b- z8h^4}rpULI#kh_XK}pZ{Kz&2+jAmw*QPU1#0*H&Gf+MnZ3rR}|EXsk$BC4WjWE|DP zJqw0o>3DFTKY#G#2^Wr=ntv#qHYP8_|DRo6q8kqXoX_z;M@PqoZBw>njN#jvBw!tw zDx>7BJ~;)rOqH=os;XSn#d>3a8SVFLgWsBWiZo%#^TZGO3feX+4d<&>*_6zZ(C037 zedVjQY>n2c!CsVd=j0jN;pwLx=5e>WAm34v9u7((G4%v-)}jtZUVgVAr})Uv;h(dM z$wyWqEH6JR0@~N_Lg2X8ZG%MlT1kwZ z>|k#p8ts2AF6Vyyi=f$XN!b-6JEPV*KqluOB^{45|Pd!vBrT zfhqk;jqs`XWvYRv!^eyx89b0siT*lsAlSm)>7_arE;m)UkN$U5Wmscn|BRMjHB!vh?%!9T6WxsBE#Pr@i}7a0<^*n z=vWbhd?{niJ4S!$f7O^ng3MnFFs7CZa{{MPKhyMzE_n6t_5YILZx}H9kep>|`#* zO}sD-P9<=^fA!3n8PFx)g1H#%1fe7*QItq!zBlwt3djkY37QVV#j4?>_0Ojv}qMt*qeX9t_JkVxfGjswf+&>#h6@RRL#6 z%IXJAnT2-7T<&2;ogt;o=qz!zm2y zeMh4#ZqP>5*HiEdKJkD0sSmw6AT3PfV+!c{9f7JO4VLs3tfH5@ILpd?dL3q9tj=bY zbmUxzY^&-972I)MPmD^~ff@nLUffpXL*0eb z%Xhkdmc~R_rQqi$`o%>(!@F|iJ!}?p>a62L9QjAH`|##5ysDkQPLv#1Cj*OMXX|^x zeRr(Mq@>bWFeVh=*@-N_G`l>X+yTMYU!3UY5{8Ms^PZsYN4s2k7K= zBDl7jDTB{thu^E{u?HF9%P4YpUtG?n}V*CC#63(aq#%f2PI=~&pZ+hYJ!6MXnJH%>l{aF zUvEuY96UsoCV1MBBzU*4Z;#7KTD<$fpn;DxvI|wwwVAZ&AD6t(3}xN07;Z~sGy~+s zxR0JZv8Qivr4e3G;TvcRpHD^TN1S5RI!d=MhJo+ft;wvJsD3$*W}krOD72l( z6=qu*6*^jIVv;0bM=9O^?YH0BQS=5mnTxz{a}A75U*9qbK?mgYr!6`cRCg0&R`H+5P+q*4I=3V0YKdrqfBC(+q1G&{%WMM~Y`RlW*N&%W zAo-`9tMQKxA#16?9!Sb&xYY1Ye1C-;&T;S*I>vG(cvk9QDXm}z_-TKVWOTy!q#9dj zlOgq$Xu^aLIFs%m2G#qWQi`l$il6Gb6vx(CC(}mlfoU9tyzU$1z`=01&Lo$K#QknbQx?U>z;v~iwt8-6r4k~-!jWK5l7#x!)tuZS zCCK8Es9Gev^v)k1pBx??_Y`1a`6Zg+WhhcBAEi66?1d46fv?hyw~N<9(gz%}jMW#x z@4@KOhmy*uQGV|*cn~bK!rT@Tr79*F6R6`RxjpzymXM8-)cuNK@H)z?3Qh`&TBl%u zf@+ZQG0Be%ilN4+#)NxhbuVN&TtxE(Hdl#P z(5TLqHJuO^7_Y?*5y_e%k5SzzuE`rLMTtmIkUfqu%(FzKmhmRK452{|FP{(}6U=QY zUQU7A#-L?G2bLQFrD2vwBSDClyYEkGF=LYn?Zxj*;CngQ=YNRFK6fXZslN~igaTBr zZ((JBVFVhN!54v=@Mp;a`%r8+yot=uAkP=B3BbOw!X$SKm%OZzBimr~2^V=?Sy|K) z&g;;>Io^Fiw}DeS5}hIj<*$?X+O1~O&@ptq8b&j{jEi~z0p^Y(5IUwV*-+*0IvKX& zUbz!DMzwCKi9xg(=rs)`CXEC-|F09VSB)>?G^YSk&*)`GX2BIt4gld|B+VmxF?R{P z<-~of0sQpr|82$JsT(XznP<{&|Eo_19F1=FtaC<^!1f-FWdn&>Hp_jNeoa)n_?$CQ zX4^H0A?2{f@(%2sAQWG)d*i+-8Ki4crI6$?`ixq6{s|m-5J!x;>>H9cS*K~=}Jh>J8C9Hj%LZG4&EiiU3nyHtUG6`b5g*oCk&-@ z;MaLssbU;2+G=o!0(PjXB$16%zWwu^K>$=htG^^HLWO8NVFJ}*>IUYRiezq8@*P;G zPc=S()Zc%$G~24eE5?I+&S#@NtK5J!MA44$U3*Hppy7gQwqBZIDxRXIw?WZ}A8OLo zeMMEA;m2!G+XzHgn%bHXH54~0#%(dYMI7Ov)$<1(UkJhD^JA;}RaZupNU_r%ec7j* z6SI|3z(>YGNCkI6UkeKrpjOXIQ!oeB8jeVEi2cn^2j-^Vw-mL+Ym5|NL&uhNCi(pf zHaAnxnILa`lVlS~;4l{K4UMoRc_hcWq{CDf)({K?qj6qM?2K~^)NA}@TZ(ymohpCE zd2@8)tY<~Qb3S=9#)o$+pKNw4)5Y1C@bui0WBo>fKl<{lSIHU)<^MnK-Zn;(C0!5F znX|$YKa7NIgb>)ta__A!Z`Vv!^~ZG2Y7sp>b7nuz%$d7AXV0#87dxveyE><{Dr+;V zx~GoSmJC8RmW6~2k}bhCe-T*7NER4bNcZvsWFfvJ5XcB2!5{xX{6HXtkW9QE5%ET3 z zX(Zi;kXK}1o8CC4ky|B*!2n+u$_N7z6uOZfFBK3-Wcj2tpLKyB@EnTV1+50Gex15> zUj+!bL)t0%kWO~=*RP~%8B9`Q964Gf&%5TJ<*a6) zAsM5c3`Exl>a$+IiZNb@ zM2%D4Unc8d%7rpAyx>qpQC(?ZY*M)1N2nbGg*qbfF>fH$wE?n>xgUuAJ2ho+V*Sp8 zNbjY$*qY_B7m(bmRBvk0J(j#nW)&T{Ju-#* zH41x`7D;2TV|!XDFHVclZfAt_Ky2@ZB*=|UUKc3Z*{VphXncYO)l;6{8{3A^@+~=c zq{k`Da_H#d!-tn2KA84-$G8wda@$1jrTy4j1U#;b;ql8MFl*fX(TXUJGnq)*pq!<3 zkRi_r5O`r|?d}vwqGJj*HRO4wU$IAH zI;y5=+$;P%>gVw4y+PEkB(b-#_|Lc3*Xqmf+k+MDIVs3)Y6jqNO>wgXlew514<2(P zvm`X)@q>@}0$ly!;34>kKTS$Lq2@)A^$MHT9!~q^o>pP z(ZjE3S{_$`q<^4c-~FDGBzWs(%$Kn&!TBQFE>?gvg}U7B#N&|Yrmf{;dGyf{%oA{j z?P;2Mp3QucjclfNwi&>ggh|FX%@&%G`#CP}kxiZS_pjVtwVCLinMtedeO|D%zF?`NL#>r$!unqJBl#xUDrc z7s>jHgpl;t@ho4heXfQYh=g_4@XWn}(@(XdJIrshrVjb*ODQCpK$mef&PEJD%- zTOmGVE`)khwLX&gn%rUg#iiN<2I`Tgn}uIg_y#Lat-IQ@3M85Q$6vQ>YTL*Q{$~M)c)oH-vqw(X>QM7mRv~OUa zBY|KL_peb9zue zKegd@uHtecG$GMn%@jsKiPY6Fb&9D#$P`_V*GV>kKu{8$^V{$WYeM=}mEd)K!L3Is z#%sKb!0G+8gU$Z>9`h=vPmhICb@))Qm8`o|sx}H?c5Dv)hFcq`z`xU_0BLZAt(K*D z`|8Y5MCp2P>Y^IR?l^=&BGlJLni;NH^$K`o)eeo_uTC;mJfdr-_7o7Y-@8xYDHU&~ zr8%d~0H|^k!@07aOM=Slil=Rz^dSrjiEXex`cM=|-<|v+SY9{keV%55fpM`&iVF8T zqLi>mi7r>`ca~(bs&66XGYM-*aU>p#y2mmG_LKOM&$na+Vu!fS)aEs?eH6OR@a5aH z0c4TLM$pbUh7OvxH4|kh*6H)R# zE+#NAoCApJAP`VbD5P+K;G(d_?2rnbv#Ec^E&dQ2RQDodITVb5F~iuRz4? z34B9kz5!({b*QPsa}E+w`_XLr@%MoWROxJRraQX8jx>bsE7RY8^y2)X?rl>>8f+8+ z1q$%0m^W{ce)zb%vgnF0FPi&#pxeP`gIM4_dS3CvJeLd8u6`V6-2B6>v0F%~?g3_P zkpn{I!B*65BF6m!Y8|Ql2O4^jPp`oSQkDpmYQZf4@zTQ#|Hs()Yty*B4ea9~ZsG3F zp{q1HJw1UT|MmvnJ`Njk>&Q+Q!;i|%Y6arqa3;pflnFspg9W6}bXo(=C}_|#z}Ubk zfi!xWE{uhwKFEu(LecSWT7%%}vA)It+=mZ3WN7dkAM)Wt5Bcz;hkSY>hJ1Qb8S>MI z9`e(V9oM31G%bc(MCOf7m2lpwWEx{5 z!qKN_E0K0+8Y@$AW(4WA&qsBJRY809?mRTbiNsB4HE&0_1xFgGPa@zluP}VQsYNPj z;cf#YLF`L8y-JidVsLu4-W$iQJ@98y55f(~8}*C1`};gTAaqBEwvSKD%6AxM-lWLV zWzSb!mW7xk36E|tM1P)Ph-2?6&MpUla_aYNMB>?Tv^RV4Imxf`X#dMRd z8IA9U;rA~ZNR2sl?dqUJZ6`py6HN_VE0iUa%?xQ$%($f;&#E8hS5`$VaOB(k$ z_<t#-=QzjcrXiug2zr!4XiD@b|bKqW6mQ^9nb@!+-Cfm87i zoN`;h$(`Oe4A!xHvr5rxQ343hq$m|~nPNdF1v3wa!v#K_ifBEbfgLJUiX^slRrrT4 z7PXeFDcd7CWOyuqcFDa0mPLM(Q0VA>qq+P0pLVa-)#kn0TjOh6kF-P~0f3l!fk5Z_ zhFUG>x^^yQeYJ@yRl=wV047#fL?qx`F2d4u6NV^R;-dglWOAe5C#Z-&)_9WNAUufp zf9nViD9nWMG_xzE)%jkR2&-J?pKl>$W zz5E>a35crkRSSCd))tVrrbayZd6dIW|5Xj%?-o&)H=e>m`4^k z4E|u=ep=?XSmT9`LYh|(R|vmyOJ(|j3yrYng1%z&IG-l*4ijLU&&nilsIPezt`|51 zW>VlczvRfFnFP4#+RlLOQgsj0z=1~P8LKVeUtlOC259S%iEKGE0SX3KcSCSD4QtyC zz}Qr7p%ICpSKgo%)vs4jZVS~I9>B1vZNetjpx^0BEsq&*)>l}%C9#WCp48OCM*W=@ zkxwH0~OJI47pI1&6(ii^4GJ;x8RMtHxlOLjMH-q1PKB_i>YE z8N^>|W(gu;^Bl^_;KNI0yKF>(TiY|Zdq!mB4rEp$+St4b;$mHE*gaan07C1Y(-%%+ zi|ssPsnyhyxTc*o58)1&cs``{!9%reg56MCMvPxNMx%R^w{q&8UokI7W(p((Ea&?gS@fF z-9jJgiigmRX{|Esj2=c$7h+f@06OZu5*u4x^R~7I)`xWK?w0DlW5=sU1y8>NE6DR1 z1{}176oO+{>^5tCIRwe4KqpG1WYv3CZ_j`7i7%B#OjqiIhm{2ll9_9WwJ#j>LX+r@ zfa&w}Ml;wSCmY4oVRlBHXp>(VXPu@0AUdH49!!Ov_y|0{JPgVWmTyLA)ex8TIB z#T~Gw6M+VX$Sv*%7St5vAn=n+vvdVk+A^Zr&EWvza}}&F@tV3gENXwGABnbOF5)6r z8_*WA!NJp;z+&U4K#X+SVPLQM`oZ|LB+Ft{`QgTZ** zad^6qF^=xE>*(&jsKnPOwq-V>aH;I*Fw#9jeVeJ+gdx3n5z)4VT3~9N8$>u%@lAdt zilb@<9$_mK_c6*u_$eKPFagwp5W>qDiTJ_Ewjaq)Z`6JcAe~vVgb+kqIh9KuL#hl? zZKop7FvI$I!!|pJhA<(LH_wx%b2i}8+iI z-*b*}ebyot8DLgGLN%BD4994xWt(0A$_=C3sTitpZuVp`U6+ZERG0}aB=g@>{ zn}V!z5Dsd-b?{`A{+GdS<87{??0Pgl(g2%M)ZVHuB^>So8jminHfx9;aH9+cO>V;! zNbpUxNH{mi!kT1HlBkiCy20{OO-sU3Hn_{P3?>(F>=SD)m#8~4g*5YvXkKiVcG(I+lhOYL8niMO;W41G9{M;wk5ysUs zVX=5V2Z|3i^ssaY+DtV86Ibw@Ywtc#z+=ZzSHEL^9W39e`@OB+F~1KM@6`R?gCLs# z1>7aKu*YHpa98_0I@;)|r#^vDLmk}xPoKCr1y|DEbGYff)ue!{A_wt^wpW}=HK@tMf zYxrBevLIQf?4kJv=ox}C^K!_*6rQd(UJ-&8Th_|+T9|$UQg84d#0k^gswez6g5t{B zDD)F!2-0vBuZ1F3^OJ_(Hs;cWBBkmjSd~Y8wmcoFv0JxOg$+IIxDwc`NiEI|8)!IS zDH)mX(>}CHr(6-=2HJ;@m!_Bd^neX(ZMmf37La@UK0Oe@jJ229EUr~Y4w%lnJrgV# zvfUw<)2yvSebq;H>GBz^>-Yy{CpE893nL-JaavjYV-U5E95FY&C+<^NKze0(b&%y0 zo0+N&MmY>fYdIoKp3~h+TrUc)&hd?i6pexrKi1nh7YflHRAVXZU(`ucbeS)44 z?ytya8#-`!aDwZDZoy1ZtbQH=cK9~Q>^LAq%PQ~AAd48oCP1J90*qhB6<``}qHI{| zf@wQJHd@BRLOcAwX&_}a6XzOVZV~p{CH*A(%L@vuYp8PF?VN3mwvGJ%_odbCwwZdJ zmv++#)L#z?*J8JCZ&_TD&n=85WhD#l9*<(I zs{#T#3v4E0EYPGZO0&9UrIqF^KxP{?=U^)PTP$C@y zA@D3QHWOLb@t%ZZORZqvQ2B%+0&4y36-P)Gd>&)~(UAvU%j)WBV9iPT(jHfkuy$F_6J^%QMYT$AzQIsu$2 zil_-PY#2s`6tFsIjNlGIG>W@48Ub@G#ZPU((-DXq9UXEiQ|Ao0x}qWndvu5)wWC9= z+1Z6jjt2?iG;DshPC^5loIo7eh7CfiwPm#t+@#4Z0Rn+wK3`&y+E3_1*fXfUHzNh5 zFsxSN;p+ri@YfEHodf>z1GDx<%;f?J)?HoRkmK%qL*9pjJCMQUh3>qe&)S6G6eiAQ1jqzi=eKB;pc!aZ zKT00ClV?wj1Eb#Oif$cqxJiZ<3;_U|pFoJlBPxfEa$VewJF;$Hhbz z3w63$nrNa9(J4l);waYv{zTi_Wh=c0G$^=|crny7ljxa(*oX5Iz-{9aN;>v=_kVoi zhkR?Sg!y){R2wtOhb&DUgsUBb8xDEvbam}k!r$-6;b}q{>Zj^8%+k#@07f@utUapO zG7r5-VIq{Fx7AeTX9N649}A{w08sGhiU(GqJ?`O$u>jl4%MYmBscxP-dHztHm~g=b zg$2&gi+Rqb>V9>H;2>jC;K2x(ev>fN%^Pm-^G89tJspDNHv%vq4(h{F`By?VJDw#T zFl0Z{#!n#hV;~|(Cgs9JT+2{57RG0xmG?OMjEf5hRe^8U0N!ucJcNR9&|;x>B)>|& zoabmL!bo5XL;VA+Ag>}!I;R`zhTc~3$*p-Xl#cQA`*zB4?z?_~l-2AX_7JTuRU!lP z;YXFwcc)ZQv6+LnrY>s&&e{~vo0ca*atSU9oe3kG@;QN@VOGYI=yVb_?&XkK33nrN zE`feHv2e*%A~MJ(DKW)>JvcbpTtlPFk&Hwd@PinZDJ64_7G3EG6Bfq`O2 z-}Ng3fLnWM#bAJSip2z#5szV2^*BWZi1HKDHQV?0YLxg^sM zU!dB#$+Mee*16?fB?GOphX-r<9~+V_b=h?Tn{7H``J%?{v8JJFVR5{QrT9^qaC(M6 zue4WN!$E3qbv3y0x(vp5u@6(PF8u=LS+rHF-HAHGK)t+Jm!f2SQIqmr)D_r@ zI>54)4)6X#fZ@=wcw(%e1c+6hXI0y$Io1INaxv8rWFMVjSr7njLV{VTQS@b(9oQRI zDcUaL4AJ?>M0?wra>gN|n;EAZ5Q)lznHK4!HgtzK6`E*y&k~*lGr%-L2hhev(j{5;mYy{DS7SABSRq<_?Ic2?MpgA-?oi+7y3 ztN0e`qA|q=XW?>|>-<^`8FItSnP1#@<|O;^_oC5(o;>xToxRh8?z0!J4Qe7eHjJI5 zxnU1MtT$fd%WydO<`Scnh$ukO%}A1}jViz|rwd0yWt!-X=9w@ip5T0$$!w zL&(=#|6`xFcA3*J@W=foZ_I_kbQ&WCKO6@+6c5>V(Sy&jDl@V2a9le4f#wdZ@J5t~78?IMe-hZVLj$ak#5LSdl<$nw+Oa|gL z1k9FsG6GV!=WI!Y)!9f2~n!V-lCwNoOacsuU~4@z9X22*-xRx*KWP zYs4}_hiaJ=6J_=SfMuBylq0qUU%msBF9(EMAqU7wRT|d;Tqt<`H6)c#^#EQ$;Y`=f zsS81)o%TNd`fI1wj3dzej@u*+4*?HH2sHD^zFfyw(GOK4eA0W44`B~PcFLR;?)fk} zJpshr$=H<6qMP-Epv2PPNoJd=E-{o|n5J3ubv8o$9$YW*J||KixEgMu#V!6X?x8lw z>FWxh=lJus-!yjQ0dK1?We4l3!j~`AA4cVHX+Bqts4vtGq*j$y zsru*88LJm^jRP{SR8JKb2{6wB0)P{O40U&icHR0RhT~QccmYaXAC+b=E`f`-Cc%$; z?61Z!F)oh`7}a|{0A+%>d5<8R9_wH>p+`YHa{d*hj-rM;8y^VM2?d~PLLvZShYPFz5B+0tv=lNy@bsD5| zU>I^Oemh_yyY6O9USw}JVwv(6`e&m6BZZ`Z;K?zXE4Mi@N9+f=DmuVJfu!Q8E2hU~ z*mQ;ojo*srf^%uaT_`wZz8D)~uc}m}xO|5RwH&Vi;0M$)r-={r0P9OkHG zNSry;5yIds4Fc;ewZp!2|gB3AzIT7XiAmN0I(Uq7Q$PEEDyhNK2q8U7jwl;z_!W4Q*IB z<)!;*mX%sDG;G}jedDGOI;pR3Oz3Nz8~LU6Shq?)9U9lw!_fZE1VrCd6`NE-b=1>s z6WP@tee}(7mie>?ZJDJuxoAseb^;tm$M<3~lkq^`PHtyNfB*&XBV3XJq8Sn{QFN`5 zB*A;v#2$c>p7C`CFa3{WC>$(%Cex1_0be92?LVZv}da&mFcQ@{X{{R=pS~>0! zv66Z|jR#7_f&{p_IYW#~0@EfY9fWMx3&SX-_bzNI#J_2f)zKaVMt=(A_L?qTGnA0} z@;11Ft3+Z?36o9jjfTe>y?2$wxR+k#n=-i)(H=L)v;;Q57{-q!o3TD?uaG?4ZNa># zII$)k5N|T&$zNl(6Oz_?0Hm0bECDZ|S}0lufXt`>1H&=k0Ave>J|ix2tmRy%lRVUw zvZ&KlTJuJE{i$n{^d`_9)mfEEb_r~)`2vu+q7W2wg;eIpo#|x`Hwyn)sNdcQvuG6q zfEHu&^{rZkKcD1PlCM~hzQ4zOp&Vh{VfuA6DyTu37mcD3?FA;#1t4+nt5#?TmDg3sS6`&9oh*XTk}cU3^{18Lh}dHtV{G;k`~ z!+i+z-AI9y%=%TsX9*;{5Rr$_Te?aB&fuIADPqBN8wOw+w3xAQeW8Pd_*I#NDo6Bi8kCz?8Ay;=oJ({_^-8~b zRE5{pKrVDhx1zifVyxMP4W*je=>SBAJV6HffSuS-&iU#N4I4yl6aC4(h71ev7V;&X zhWwhZ-eoQvbap*1yJa>k#fTYk$A(+RtTEkx=g|YmX9rf@gNSE)7HR`5!rRdM?ONA3 zHY<4D@wOgB^ZFxitBXYSoFWy0r)J}40fa{RO^H*x_5}{58&JaqXH-~lpJEM1w{btRaApY)n~?If<&dVgQj_T ztIUNfeG&;CdVh|QhF+`p*lIW;?-xh}4-q~Q2z{dxk|{@vXw?iD z&i5X_^V7#a{i!(DzB3*_9v&QXHi0}5^baqw=nwjI2nLjq0%il}{)^Pc;h=B_Nqp6Z z6-WZ#smzuC^=jR(aIA46T*noX5o%R~o$< z8^zZD&9Tc>LF%*hX~-KnPY@}ImobFE%E-2$F;rH#?2WrrS=EX;oz1Lc<-La1j>bpR zX=HW7oF*W0;;4nu)zd64%kT0^=K_o#_BRE;Bg+`KYK8$BXPs-J$m`K?hhFLGkM9*! zGv=$#-M&_rzj{mkdV+gDFrX$15yGA_W#HdLE; zt@pT~h7Hum9gUz=Uqq|%@yKhuvn-#MI=M-wYe^iAS7iBmQyN+^y^7E1_$z$%NL!;W zm$IiKsTT2H4D7nLSb+(O9Hs>-s*WWRrR1>vZX^skN?)a4a99_-5@%uxHD2VDtDIw< za&ou-dQyf;|ALc2^xsg!>!I`MM`6nK9SKaslmT@VruJ;Lbt4t9K?{pOz6LO|Pw4=_ zg9&``+v-hJUO$wZ1gk0<_#Ae*%e#LA)6R1-Yr+J;@K$xPfEh3toIX29!0aCmx^t92Y%aA5d}>_md?fz(?QLKTWV_9n$fW8ic1i6e1g1oZ0_Au*^ZtP9$RFO@AjOM;c&EmhvkbJJAa;kZZtCS@L*Ajyo6D+w3E z?vP7+T5Nm=X<+QLIymNop)do1nI_@Hl{!(dkR^`{RC6cI#AvVV*C+x~+wg%O*oU7Q z-n;gmn6V2@F|ak}i6-%a+<+(Z*i6c$o;Oo~a2za1%Oxph^dlq4O$_mXwy1Iy!TBYD zCq+=)ms-}{a9l#PAs6VMpat5vFk*%e;F^4|9%-~$r&;;+`wJp~P2F&y| z?oy;2av7Nl{bp6`yZ^aGM8d6Esc1+vRI3OdTxXs_#Pl*H6DVKl%3vI7?W0MJTN}L( z&v9#`ZPdrRHhK5eqaAcp0~L6e`KB1m(s{Zzg6=xUKOByHebqOO+NzMv73{0cl{R41 zs^v)UDFuLai47@*8mbOp=6D~gcP^T*oep}Qtm+$2Ox3PQPf&H=uOoL$E&vngs-Xv6Y9{VNmy>sva zQv|+gyvr9B?50sK8o6v9qp2LmgdPwv2xVCg+Gyx6YKE6<&qNjD-Vd<9k=0DrX8<0I zT^7j%!zZ>=6sh+6)t803;qMsBTGtU6E9JVaAHFKo4SiMLizSS49Lb+pXVphH+6$@G zIwL>HS4^XAcd-jvtvVa&gud*Kj6fZ2T$*KKz~zR1UAm2wYWsVi__~#|9bSQ704R!L zAg90hcHbhun!=nmzL}P8>K20I4$a9gzCGDoUdCA-O_WVs>Mkzr>*B)v=N2dC>|xHB z43Nw|B?Ih_Iom2PG-DZoob2d8kHTEnDcdgNI=}cf#QF0=nX2H%#_+D`Ry}s0P-3_> z81jp6-vB5F8>io3>vwzz!ethG`(mKxQI9*?fSYu{R9 zv?@bT74)NcwhfbeF%B8Zw*{M>V*1T7dM~^lI7&Qe+lNOvQ!%!{?}GCsLia|nH(wF9pke;*-W!RpXirOT^+Rs&*)*Od zi!CHlpg`BibiwKY&~q}AJD;B_KozjPH|r}wDMS&fld;-ydfH;j7K|Fu3L&-}pc!6( zKZWelWr=D>3XF52@p1)HNXIhZV7&NuL?h={EIOc}CCO!ebNEht;KTDU$NxQ7Ow z#>=%bcwrqS%Q*zS_9L~)EliEPA7-vH9jh)q6^QO7QT4K3MpDzGVPxOeyA5~+tN<8l zBPg>-7vz*zd9j8`K|B8NQ5QR2W-&w3x~ACYwAXJc<8bZiJ(DSHd{INy9A09PyZckJ zoa0ZqW5+@ z!n1S1dYFrbnQ;@+_7gkIBatYDDXSFnqyPXXv=CyMh#$5r1D=Y3s_&q z{otB-(=qMbwkou-6d0JZ9%N=&Obx7vBjQK!a#3ySi^f+rEtiR{87AcGbG25Att>;`Cgqc5-nVcB zshtOXV3NW#LL+>EZSy>1K4}&@xZ&qWxqz26S5vFqJ^6s@b)+RyKT;CStPaxrT&Ll_ zyoeTYah=eSnrt4tgO?kix>h%$e8_xhI=lNKND=h1UWO{6z;cuCVe^DRB`SwASN^w^XoruWu7~XD!`_p{m$BwzP-StG>_jp{_G6k2rje7w+2~vY~#YV^xfptJ`?n zUS!&_Cgu;?M0KgNAplQ^BGmxRof4U@#WB0`nYNV4oMypzO%$Y> z3(Hhw!quKufTg{aDDF6$Ky*1aM_LkI@#pSbU+t2~vH=tZ&w49A5ok;xd~kcP9ZB&a|*3__Cp~kMHf}(!^!6E`at{wxI(oi1Ee<864&jU^c8L0e=F#B zm-YZxODfE0EBu=RS z3#Y5LVVxWdhmrj~e|QpMLu&C}b(Lfd66Kj3^fZeNVu)L$iW!bPXQoHcYpJdFThn-V1V_% zZ#TtEolVd4G=qTuH3=Y!0)y5UdA?Ey$Gi-Y<7oc%m%x_2A6$G99gL2T2P2|L9*q0dszUQt3c~j4;zjaGG(tov zSV*j6x@BG9^X;nGl>K|CeYU(f3m{dT3*w((W3;Q})uREm@h+8L+TpNOFIgfyDdc1} zmIAkFp8gv1X`3~ePG|=%*FEB5ONbg22;6`+zegSFMwOj7%Ws9;T8SL( zb$s&XcOd3Px8}g$fnp1))rbXdvrsOa*WqQ7*h=JOg5r3zL3sE3-Kck|ZrD@jP(Noj z`*g+u_f26fdHM^QN|&@>NuEsIbj9u!&w~^}G^L>Gk(<;8nR*lc*rz`1>~mt6^=0&$ z&uXnH`lfDKbtz}i97@gnNp0F6-4!QsxqG^#6$Exbm^AP^;7h9cAyFyS|CC&#cA3(^ zPXi(>&GNL^#y#a&{FZ%TmdbZVdsE!E{MXCb_iHt0RUz_ zicDXWYFFHt^i5p!z7Rdr=c^sS?WP#hi9=q&7_8Sz`h>060it$GH#qtlT_+I|bcsy^ z+5{XF1-9E09g|WA^JUEY91V~3M)-4>JyB+@-ufP9?u%JV3Y!lr5nJc@&uir|Ct0li znRrQFhm>l;~mQMG?`#*fn>$&lFxvY7)IdEgQ1B_ z75@1&+Jj8^)4uu&5Y0z?3B?8faW30S!i2WLDB~r{C0G$xyjf^sSLASe0w};9TM4SQ zD#29)jt)P(yX-8bsG1{;I4~f^WFTg7d8HqjL6_a;{B$~IYpOS96EeHq*u$u%4VCFI zDL4ppOw@)iKYaj}xm~h!PDP9(l=uLwY~Vf{2|mEfJ?-~86Zw1InE0OidJyWmT@rQ9 zTshi^4?9=G$H&p$@$rMt)qP|On=>x=C$)RnyxsUD;=K9k_yk|1-`R!WE?lo#;S8;! zcN=N%LVS18p7>GUfsaq)S`0<>Mw$N4qBrOxJCPkpmgmjM1T+nRU~_X_7X;@vh8ZLi>LO%7j$;^`r;GlM>g28w%(s05QRA%%u4~c+q`k=k9NRD$^lv zA;?yeOr&)5@%@=4>v#%uANho+PCV60HdRE-Ldx|`kvT|!agL((1W24r2?aC81HU}p zud?|Uc+{J(SO&9z3jQMhfM2`8OBz~75_{!aZ`I)#1%;U{Q!C_E4u)!+q<@E@nsu7Z z2n1w@B108__GoC(jOzBUk_^9%H+XC3SzaRHKngLBsW*CU9$akdk{xPE7CBUM!1hdO zT4S{=$$edH7k2 zP{0ohsb(6YTO!adHEN0C&Xc0Zqj!0x{vQQ0KHn~twe&-%@`)04d}{7nof$ZH3%i^t zgzRepI$7$a*{WA5otE|CG&oHm4@>V-kL4X$npHQW?n3>IHY4;WR2H9c;N|Hv3a|X; zw;C7?-LlQO)_?ZcGdj5@p~?*b>B4#o_Ap%*>W6*)J1Kfo(Rqb!fbjO z3Rn`L6z5bIvrsM6rMy7PN!SZ|EHB!>Y*5|c4)6o$LQRA-qu>_7V{5n|cfSwS^MAq`}0r(dbj zYp1RWc40sz#RTKsnxF{Aer>e6;oOP#E^#;iF;b-KgGl-tmzx5z^>r4c{u&zMaD*~r zyhnqZK_$?GZgxu0>u&dxFQJlwa=OYlh=3gADlwF7t0MhcJ<998NZ8>=kWk&~Dr46- zw!j+vINy{pyeW_v#>YP0(!pA1y_sL^F+*;#f#Uiyl!GJVRt6a&{7VgwgIaIA-Wv)VfU;J=Jr;m@Qv-jW! z1_iKr`65|+wGeP!0A!=6{~=%C|I`yWd#AqK;8E?U+{)upW1s8UZglyJCTrQb(6OG8 z*Yp7?nS)<^Tax_%6pxP@w4u0M7*g(dx~b0AFp$|3)fkv5n=D~;((c8Mel5^jzHslW z!RLKEz{?Z@aORty9eb970kt>8az{N$_pNt?_e--PHQ%Be^$I)h|vc zF#+nf-G_5TWIDfB(FB!ppu%ngjuK8(rxl7sN#3)YVP^wb`bgC$S2a^=3J9toeu!j@ zPLGavRS9)XK>5PjtmiAK4SLD;oDc@xcVt2LYh*#26`3*lX05s-%w&#aST#lsQg#GQ zmgMMoFdp^m8JjDM<#L@AbtBRK-w8)d@hu9Y0KP-r6$@Au*D!63@ebou>P59DC^zGP!n+sNwO%r4}q9!vmhf0wOG_2bX5OJ9jCA^=s9dvQ*-_% zJcf0?8i0|a?t(7XgHk&^{Azqe;qNHV)G^onNi-0^=-b7fyp5~AWqK~qKGkEuj~2LF z0%g{QSxluXkTldjcTpe+vm~#BrO<8Jf43Og-)M9}bTIHD`e>@Aa0{mW9!$kF3GHr_ zDO|Wr-B^1CYL2ZpV=9@ub6>-jN$F@);@qN;Y`1HOFP>nbp)MS%t?b6qSVk7xefP`9 z7mv*kDzn;XFt=5NfBWuV`t)O{8hbfw_KxeN5n#zX>BNd{1U-z#7?W17oU-U0G}GDZ zCvRWdNbLC8a2Tx?y#`*$AXPjOL>6j#>7~ulLfWr)0B>U0KqhInmbFUV`tdm$J9(U= zp<39JO`-XO#Pde=MT@(teAKde-2H2K0syw9UBB~fyo#ge`DPMFFVcKv z4&Gf+CiRuru4J9Jqa6%QDWBTabd0xJ4hO5xU$|A9)GdqmSUH-ZbsUy;H{vt(#GY%@ z@C*m>T<{ia1|~V5Q2j5^mri*SYEK8(DXlQ}wB2d_Mn`lYMkGLxp?4E4KaGwMxOTy% z?s$(r97?Urzl;Y&h-;qNM@N-aEd6dC4asC%& z%CC3-48E3pO4jElB?Nh&A@%}4ho~NV+>wjCk7d5v-evbj>u znpW!mw+K5@?zb0wL%;HKaE*1Hj-hb(;$NNsg)*4SBvLjZ1oGo-tKJ;&@iQ#R^^Rtm zr$wMJ0S`Ys)}SsSExEdjUbdeOex}w66-08q5?)FvK)qbl55sH(l8f)DdZKVoS@KdUUoiG2*f5Z6@kn3!z{w$wqz$&`38U|}vI*y+m9zPz94tJJ}rn&44X#LfVFR773^#nL~Jbz)Arpn=L(HCqBgD|M{_OUzN#ZK2W9 zn}20ulBPZUm3abXUBjc{y;@e@bYs&iWsn3^_uymuLnD@}8m7o3ZR5&?t7{jE#PK2e z0UfjO%$gHouyjM-M89=+3O^TmndLDmJt6N<|4 z=@o?seL~X8Yv^#WpxiUhDDSSqz`TlMNc>E(o>Ayb;gNp#`qNIE&JP^l?;^h>5A8f( z&S5@utw#qzEYg1`2894uK&ZcI(m{enzK;|(#b3%9FxFZ_cMM%mW==-nnO z3dgkv!BEB)ctNWxWzT<>ZHW{Q<4}$S7=C0_ zm_fr^`OG9Fl1fY|hO+W1C=!hEu`=o^#BAqMCmm<81G{upw^)7hF2($~ETktVSFrix z30*caEpQrDBP`(QhQuK6{_dk+bH!?aS9XUQOL}p*YEu2{Hiy^Q;Yh{TO#j|qBiT{g zOHZ9#%mXsR{{Gx*x60AKBDJQ@#12dxI6A6hGc ztfx07O0)wL4kiP}Vy(crnDOm61nyiig4!vANd1q)$$&AHKJuL#Asf06b=2ZXBf4N8 zMt37PHVy$ScBrF{Vjba+%isX<9Wh>>zS2;iT*XzT(CP?0;c_u22EMwcP~Lqesc(a| zJS&1vQ!T6wF#4|5D{19DoZ(H9dAu|(qxl%Y4ncUVbD4B0+6Z$ppf|5}61Yjt21)m` z$Pr9GrDM|n`MxDzCo~L=T%D@8L#bQ4d-2E@Gq%;4GK_JdmRGzIIw%+UM*RndeO5xb z{wu1fcGZsSs!$;d0=@u6+|dgOLd{SH*W{Ay7-(mp{jmxD(Mb~7G+T#jz^ivtMBbsz z&VtB0wArSIyjKF5IL*dB-vQ+Ax>c{lgb+uw0dLTejP5bR=rKYCUECur|2Itg_MDk=7jF^JZPe2ukW%{d45~kiU zHTWFFus?5pcyNd$SlBn;q@@k78A^8jMHJ8Sl_WINiM{Bo5EMUclXdqUKMUqjTyb)~ zjtVZAL$SFp;<=@yn8T>ax~?gmo7Uzp7J&qoyO8bJ2#4yF1vm(y!}G{oXlBPDAr z(mg`@aMG*q`@*tG=gM9s*F~XVkIstyK9^6`&;bLtl{z2$Ju8KSOJbI*slzX^MVaPG zEivb^DceQ6hs*?HwlB^^7T5xNpvpu&?q6(%!%Ov5)`Q_COIYm2o?%vE;U!xwxTS^N z5Uit`!gA0Y`_Z}j&kMu8fS!d0daUBqA*|6pvSV6k_06+BSAS|X<>v@fjUn5$FMZik zvO(3Q$~XavSut@rWX{y<@^zSM$*TeTHTbWM1VR?n-{kCB;tL8;P;n+-+e6Qex2BQ{ zH|5WfD#K-IW$HdyLbIpJXZ()#68mA-H!y2Kk%EunU#hsne*kAL>`CwWN-6yYOxQ>J z)&V-Ek9Msq{g*e{rdn7{wk7>UJ07zDlbm%&h`TFneL zq6KwaB+Al>E`H>^Ph1~>8%vhVD|BV7!Zchzi%`&Q2=`c}sj^psrKS$>WiK@ktzVvk8*a#R%_zz}lxhGkR$3o)x z-tu8U-%^rx)rFJIy`r4^H=^Hub`>?p!i#cavHbO&f zv??|;em5bW4+ZZ>!;|A)ec`vxW(0(k{W5RwB|OlIV|Rb%Q8VtxWKgiI7LTmCGT2&T zc5=@N$6GrWuwjrT0{~^I&cjSuaW~PksJz}5sjkv0I*DDa z&;V6yFD^AeRmVoG9$c0%{i}|X^bEtv8s=8VY|m(I3y46*;Anki=@x^U;(04%i9;|A zlT+iYTq%YnVD_{87G540Wyzc&2kP$+ll((;aBSG{lA9#MAcF@+GeI-DfEo2SGvNNQ zFyv5VyYsWWOpEw~mIK1&xBN7GL`{=cim?WJ;+@dEuVqTHra-q7sLgiZc5U!g9}K9u zw;w)aJVr5HG$^vO%HA2CfQ2y{?nnTJ$w9ir_nY3*rEi==WT%6IGmmuLKCW^NQlu5z zMc|Kr&s$;*$>lZf!?R5ht84b7_sQjD1bR78Oj>Nz_6C}ZYRjiXWAEuMrv=^xU(+~8 z=6HAzCNKI~B5v{$_HDiGpB$ea_WDixel1aqnkis`@#T17zds}akH7ecsB9qt&bIR_ zBgE^;@V-G5%NZqe_M`K-NGFpdR-6B8qRf36munefdp&&t*3t}RYt<%14=pXp2kHQ5 zk#Id}((Ce@?p^77I9HE2j(&_c@H#K@=``Puei*CGtb-CRGuFOwlG0qQhe*QR$MfS9 zN($8omPrbD(?1!5HpyZ?dY4~s^Zrhn305EzHZ~(Hta}Ic$W^k$qpm8Q9^RralGU2) z(4O}C6-r{K0HMC4R$gML*n-uVbPTVUa6(W^y)C$M4{-+b3OV6}s&s0Trgtl6Vq+M^ zJAL@L*eQN;521x$%YDzC&~c5@Iqjs~mCn0Y&0|Y-qeK#~-6JPRVTD(P;wKl%$uBT_ zJ|0J(S+$Z={f;&BS(qL*p+%L-A|#%4Vp%Qj=8rnz`(MO2YRfv`tQZgN+E;-huW)JdJ8MVnPoavFLfO4O}DFlNKag* zh`l97F{1s(l7FAU^+`B5Wbak8csA<-?@Kxh@HGg=0G3Bjx*)jJ{$J8Tolki*jBTnS zLJ;%$Cb^AXF*DXVNzHEzqcb;sa6CTXkRS6{H*zOCq|$Cny>gWn82!rP4_mqms5jh{ zP|!V5W|iSUSSpJ)%iQ7t`JszOdh_aBcU3*}ds&j}Nk(;qxSWDmF1!Kn$HU=}xVx1H zSd#yr6P$FNxa^)tu)eR$75UxLWr|mk+WqTzXqlS*s&9TB?JdA5(ZANxW(m+w@iwx{ z&}IqPWokQZ90ME%w!n-Vly5djOjlIbtC2m^^f|pW%v-9pbtg!)F6?S)9a_! z@mw{(A$-zn>Y+liJ;BGagbF68<;%n0mc8;1B z(cbyl8@+*bl8Gezep~%;o%AEt4{?16;8;LLvaPkQQj%Rp)?G%k?y)vi{Qjqpy6|PG zgKa?Pmhax3fVWL%yQV=<8@JI|>?l~*Y-6{`(n$(+@7(f?a;;5gKhbqS_4-^ovnsQs z`VqL2U289G*wxy0XW%y8w%&e~nuwbU8hC5T-LzdL|S=ShN9%{ZpW{z~G+R zjp1|yA>P<33R5J`k-$Y*7zQ_^p6Nmdl{NDEjJA@i90RQ~t{2foq@C;N_0kt`+Qm0& zU_eizmh%6COPM$bsm4z3N^$gZ0|+Oz`qiedrbu4cD4&$CHul)nRCDruG~a8R*=gB1 zs|-_J80CfeIB^oIyo+|qZ3D~Mr_hPmfMdU|swb z*J%){*195*fl6!pg2V(6F^)wgy#n-LCXagLGL1t;1kB!%uEOtk(J7qg*=3#1r?qxN zyO7oU($a}Vox%b3(PRx+%M*_x1E{YU-PJ>aE1!UVfYrVk4R)FyhF_RW&{|`fVs}7mB&cB81I5O9nU%8WNG) zRfkgZ>c4aKkjlV$@R`3ym;*tJf7+CIpxQ>4{U}!&>sm~p4&pw^=>!OW)pX2@ynL_L zz8^D{a`m3cVUPq^pRDV)Y9#CN2^c0h_c?x0Yk1pp#Oj~259aeYF8Qi`zqLX zyWzvfk8rR{<-ZmqUJD`p$ z-B<44VxViFXFmzU&Z@9uZ4oH*D@!1Lw~PUBc63k$oQ2h;JhQt-PHJ?_f(Ys*?o)On zg+)zq8ci3-a?t#ZQ!(gF+Rurs4Q}t3(a+8GM!HEOsFk%_ZnK+snZ}X!-qraFmsP7o zGj#}4CQ*ePIUKQeRl@hw5(9v$`f|;`sUSv=1*5mTUizlyN zKS5HXDrUL%+&6+Nu&uce#g+nSdFbHgAKGC~cIz}k1L zot+h`)uEB!wq(v|LeULc#v3!Jx&)mE#*wsKtPA5~Nqjo(P)^C^a1L-cOWEDV8#OfY z%@p$f?K(V{Ul8M%27n?}JO%qIe5j|*RUVSZh?JOv=s#2QGy>umL*9<3Ly>-fmc9sS zZoR@w-l|LVUD(}snikVdS}`eb6#SjMd^A3qPFXCn@*5$=kZZD76;6OH zOTPv-FIgieM9}mI0S3hK2y4hR&o^X8H4l8PmU2mH5T*dc!S}NFn@M~Vy@y?14N{#B zOC5DfGBEQnu%-G@k49MsfP5@l)Y{bARO=$Es>;;yKdm4HbFMoJ29vuZhxdCuwQ|eQoAcrfd3oyV;w%;gg%4Qu=Q-vbtYr6r*NJ#z)CEI1cfa?^ z&QTYy6B~4iz7u&t7ZIz%gv~ToR)*RO&C9%V*hTBTJ$T%uIi%7#gc3H{kvFR?ydt8t zegwyhvLY@;gkbLe9kiAqDv_=?G7IJr#VNl=9S~C;6cIlNV>N!H3ygQ)%e8drOu` zJjqB%!hMmNt3qTu%m$F(DianZU%cm_mf(#VvbKemKs;cmH$CTvzC~Ov5;*v;x3b2s zC9Kb6fAO@@--bqM^e#YPSWnaY9MshtXNfN1e4~Dt`-aOTb4!H5%i2ZRw9kii@rrtNCb3TF-wwd`y)OY>pi6o8ON3De<3% z?DvZ%qF+WjOpKh45#fwea4^&)Zi;2HC2j3%&!CjqkREc}nHicyeYc_oxKiFUc{@PJf+W|`>4z zhi;zdd6p14Gh=n>mD)036=A!wMg8M4I(VU$K?cl#$t~X5HYuMhIc8F9mdKL>cGw4X z?^|_Yxh>ZTC4+YFHl_Hax@EXe^c3EHaq)wn4kp041MCHw)R=k+4~I#19&8Bk{Z~xf z;}5|d!KTEW5UQXdD5fJnn!`tD=FI2tIta1VB{{q-dED1eL7=7W6L-7X4>^qL75EPy zX$9|S6k2ZdiW^n|0vh<1XdHd{^0PCl35r?8MMFy<&@vbeBeNy9aUIW*1ocdlj0Px0 zm8n}&WHHd~`Zgb^3+5Ojt8j(=6m&&2(dbVRh$(nQb?9J(CehE#-(#!%HxB0NsAlcg zI7=Y7$8@n5GRZ`b%V9RS?;P#(Enm;hh3UyIA0!P~^9i_#Yh&htVRKD??zP+7a;XmQ#^Sl8GL_t}Su+>rb9OR;Pn% zAK!g&;ISqACC0%#*;~OIad`Cjkbeiksu^i|K8{|CY=ns{h4PQR-|E#$hR`4v{lE~o z-U0!hwKWL3R0#|f0P7ML4NMQ0P?4L%+&x|el(lL@nE_J;WymUv+n8wrt~Sd#&KS)MDDHR(OeBpX$PS(mA zWw-BJDeJUsE9Ca0!9{%A_;b9Vp#dnzZu-4nuI>GtgQJ&hF-tt9i`mfGdDv_<<##Jk zLl+tgbcpOhE!=4``^Y}5<~2Hni3#{hF>HIA_}#gis#_liMmVWMj7ekL| z4>1?6`UhIUQz7;?!4xKHl+l$s77xds^2_rDF8^FLKFxqXCsdpWEJi6Vy|Zj}6>C~~ zFVYZOPfzrUKMl00!$|Mq55yuu$;(PWiJRJ3HkFC;rj-w|PIBE1Z|-1aqJoE*dv)T> zNvKma1|~(aq@ZDBe^oQ%_JU|{vNB|tKIs8|Waq@3A(cL5p8mgk6i~rg$ig2ltZ9p( zHdA$2sK==$k|Th+DoC@&sDJKGvGm&2AQDKOjp|}_g2}m~V9idbib2-x@bX|I!j-fU z2$y-jrnEYIo8^m%dBC3J&AOrf#?}F429D4yV`FC4)3dP?kaM++dXv@iD02_76qKYf zY6(V1!MRLh)ZUwSp*f;?(ph0joh9pF zE{=0nSdg10s)zWxtRpJ{UBhE#CHJXX2U!*G{_lH$%Bu;{`vJ_|%LLQ{C{LF6~R z1f5^Nx=ymBmdLca_FM9yKFhN^b9^Z|Y+ijuE#+x-3_I~;cjq~+^D6xyaFW9nm=|5=oEQ~_CHmd} z$2ynazxnL*2O`6-o?)W?UJvm_GG*FLth_%x_!!V>Q>eD4+J4U|3jO#>dzY-Pch=Lz ztA+vKl{zjU@6K@=(Aaq13y8De_cew1o$Hla%JJ38_~YN|6ckX7FlnEKR|XcA4^Z5+ z3N#I3C(*Me?5Wu7ixi5wMP>!Z;JIuS+ARdk-K3BnKo3`gLz~+H;n<^UL#4>=@^}b4 z>WcXu885dCv^yH!yW!EWw&hix`8FZ^*%{(&b;4{cf&1(?CcuRqm z;4+?=MlBjww;D#|?$9h4*Wj1gnfEtQ!JZ zzZw3UrfY7!M8@Hfsjwx-KB#@l1BWZ%Q?YUY5uni@I+Ei(S*HdUbMCZi)Cgt8@4+aV z7in3Fd4eGLssL?KJUsqwG#ryzm;lvMr;2(B3IQ&emP?OeWl@;l;ELAGAq=ppP9MVySn6cPywWmX4miyt zaN}C>WE#IZ*ISiT*sQTCq&c&K?2rgf(bdPBhUFP zM4Tfx29xEfvgMo`9uQ5HqgRoZcjZAr@f`C3Ce>;p-!x*j7-H{o^lFln`VFcTTON+`bi1cG>Lvyldh6Zxy=4!n|}7*3OFTc4fT z4X<-c>fx=fw!y~U;a9t~XQk@{=DpVr=XUY&*_tKCSiJjtxDB{FllFPsT}gy9IfCgj zTO)D;)B1);hN){bt{k!)t(&tulD1Ju(RN=-+CuB+>V1yqdGuT@Mki+SyfI?3yYk?D=sJ|iq&9)^sDs#G zLj<)$&sJg3^gYjW2rYi3N}xtp>?jeaoc03t*^gBRY!of=tUVTq8jpuYJj9KqdP}9I z+&bu{*A`!+1}Slz{fSQlc|q~M)8QzSf1Y%N!wxvutkfTXo}SEj}nq+GUnQmJJI^4_3MI@<1#z{yNR>k%!!rp7r5U{$b!( zPaVzj+MJ+oXn0h9^?5;`$&Z?&kcX+_Tj%DdbVlG4u=d{Z02#VC#W+BJ zRQCyJgq&wCuKfmb2djrM8>KDLzV-kY* zr@hetGp=H4WM$u>9?Ou%z`ANA#o6yniDQ7}wmpakIv2ykrhDzqha&<5?s?$UXL0Do zWh|u?*5CKh5!Bnqk?MFW4%UzU?!)D* z950ct^}xgy)uvm-ct5F4^UFuvfscgsu1&%IGn0rg_j~yGWE7RXeiO9x;Ms8W_~axi zMK-qmB$wv9+I}|EHS)T{vt87Jf;4^4@qY8+?GPCVzXi=TvsU#H|InwbA=cgReAqUH zgR7^iIs^xk?Eucg>H(|$40BwjrSD+(&ITY%U)2$#-VKo@hi&yS>FrgxQ(NeVds-f; z({evL9vs5|5XH}5s;mrKveuGfugevjMg}&c)`Pa4v9>K-X=T~Obi9c?Ez2O<=UKZY0dr)?HMIMa}=eJ147pNVlHcU;G)pcW6072 zk+87dyjqGgwdJ8UYQI(lW+&`fyV~%sO7H$*<~+a9VI~L^e?~wS0I{bo0~@hdK}*C1 z7*9&e$7Z1}Z_c85ww>nXHiKwcviy2W%l9QPRY6QNjj{Fb>gq74fYmZSY7@}I#V8Z{ zA=JcDQf6MR=2n6ni0(@~kic?^lm5dF{34#hipm#TaOQ0{A9VwZc&=-+uQuwWd)Ogk zljX+^a5B??+-C9=e-vCcy`)wlY!iX>)(yDmrty54Uv8FDD#xRE;v^NH=#b?EN^v+G zat=|vf!%X59Ui$#7OZ%vFUL1QZNOjK?S}5rcr{$<2jad$ZYB(Pf)KZQHz_H4Fn}!U z76@CH=`ul=)&QocaKdYWwk z(9q#^03M&KEL9^`b81V<(RrZu-*0B~BzlL}zQAkG;o1u9q=+t&GxhRhTi&GCO>L=b zKab5?^VFqk@lZsuP?8N2>zb8mNlt)mK%r~NGP z3p;84z(P3NzyYm>yi^uElq(vLopxy)Wt?B5_K(zembbW*%FplTEw-}$tEJ%+w!5tV z4vV#v{`s|w{%CQ4XO6uTEEQkHS)y7{zT}*2Kq?s52hco$Vt7r#la&3YoFxQ-Gk%#( zfj25;3Qv|Vir}QM84lG?1S#be!rZY_BtoQKzl#^ZSIgvC3Z_G4v!^pKmc6_k zehzH_r}qlR53}%H3|WCF;6!ai8_XW%6J=>6oE_$6jI3RhRgC$tMf*X{AHZE8j?4Ua z9IN4bAg-Y$F`K_i%!Jc3!{~-*16~5~9Ic`$6n$Fj|8-ud(@0(Pnf~p*i3WIJ83}r} z>y}%Fg{xZ^@Wn4L&d_GM_H7$QnwZhyur@}|-3G){XDwLrwa|90 zBFcG3T>{q=7&7bxOAs&LutAku`1vtB&g1G8tv7M^|4`(F3oIn9r-|CX6kpQzg-?;# zXHdm+8NE>hoORItN*AjPc?p^o-U^Tk#pQlsegQbJrD{Fka{XfS^z`KN7n`HW$*KC^ zWXQ}+>PXYlhF$x6XMfV6!_&)QB0F5A%WY~YZSgO)*cO(Z&g+_k;Z8+YzJ$}JxHi3g zNQtCj1w}5iL;d$~sd;8|Wk%iVUO(G>eU)$2YK*~B?bf^NNn#{a{r~fx@O9w;t4_of zA-As8)yTJhpl)EGuEPPwyo(n}?8X=~a-fpf*dnt9)C@ux1lB$kl2xjrJ%yOMwe88> ztFc}$U_2B3kn$CJ3nI1Sm#`*fI+Fwv!SS_+Kvf&1u(NH)5q}dBbQXmW*b;cFm78kp zJNS!ekG^~&Cgbi8f6K2PX9CG5A^mo>$l6NBfrPI>n>6&o2|n0Kf~UrUgV~-(70|MR zEL$)Yhv_%t(YLhneuFmdG>hp>s&PDjNSB?%Wlf4r5CL31iF@saZUT{`iP|>vCg=Gj zT=g8UdYEqK8^~{B>;z63 zX>?Cb^g=3;L$!7>szkqj%}zO0BBsb-XS&vsgbO(-EsG%&3wv4_&I|dPdg4ua!2)wwvf2G13 zVj#(Gl@ig3_%e38)T=ZQMt3E|`a;L@kD=P?+pp%lYq4fsaIHNY0fD_iI&%JaT4;)~CMY;fZ ziu^^iM^I<12;aAKr`vw_8go50_F3Ki51%w4SG4rr>(@_SypVFGtYJ89Im-%UnYIoc z(vjx{N3Srzwp~o}%tjtA;k7#$4wVlzK0Y2===NH^R5&jEVcUbHEn^cTtW7f!^%x%w z=@U9%;7?RP+#8)deSAb;^?NNEtuVATV$1ztEe=}8YIy=@XgI*V!8!+Y4}M&2grV#lA$@l(M6v2 zDogf_&BTb6UCqLf1fdix1k0EJ{jZg;hWQhGB?BXtXl=S-QOLPUC=g@lfZzj%JOPki zHMGaLionyng3{x?#p;TKF6lz~R&tAWN zc5(5z?0amlZ(YAZ-e9l@`tD!HIG4=J*%t<(1xAhn({ZJ#Loto)*Ybn<3+v7IKS!v> zmKy64Q^gAtz(r55lWo_;n`AS3=ZuK=(tJ5cQI1q3x1rv$NZ^gh5_PA*PK%)ZJkF5w zu7G5}!yg)3KjJ32XF?G}h3VG`Mut5u#4!EGKItUR;$Axo{PHSu5@o@|9UhCtikGIG zN^oR|jBGmt2TDx=bn=LyKUoe8tE#z?ecc98YwYWcXu!&3@(pCInFh?A{gFdkaA3mg*How7NDN>4xOS zNA@ef%W@P%J0pht#3-2BS~~S&{*Cs8u9J+7gTxZXGkoymu6NKnX;8J9isWbiBQv^A zLbl~LA3VYPpttGR2{y_e$ly})rtU89mCvoEf$LahZ6k(KtA_+rPY=g}CZ9$Wpn0fj zEJmmTwES-MEgypE2C&EW%QuoLB-!vjKte4wmz z^*=9ONYlJ69Dq(TO}r)yS8WDjakLmX8n7=@xLAk_nNLHjg$IV3TnsQ_;hZ_nW`w=m zEaPRm$Ty|A4l=Nsu7>z-zzosEH6bpWYF1Z*mC%mjkfzqvr8KBr!eezljmAb;=~8Xl zNq~HbnS#{9;?)Pb-&_qZkxE6wJr}0MF9s@Uhxt_fDU-x|#wQ zL^aHHz@UyNh-M{WYUX=Ef@BO+ZAq`y-o%2~=Jp~kcR4*G){%dbqFp+TU@d1IJPFJzOy@#t8$L~Jn--7R zHrDyAEA@&}ytmRE5s4Mb{FaR{6bk3qCuU^m$Ooqa+akY#hIH@;PcR#ivUge2&)o&C zkFL6puucjm)uGiTo1O%>*Fjd2xpkTvdl(5xp%#f}U6WuW5a+gNM&d)L=|zJ++)e~X zFUd#lmHm!tlxo>&1t|*kxdKwrZ$&z7v75N0WdJd8unKWqNQKj95`b;zzj6rW-brQX z-15g!G)5*)oRdEK31O2kSS$l6+OAW^?0$66*M&M+JV`QT^1z`%c1>(V?KnEl+3Gx- zc}g$p6ZKZl;1uyBn>2&NGnbb<&2Bh^XLo!2Y^P?_OfSDq+-B&rotp6y&Vu-n8rfq^ z8ra5?Po4Y^laG(4@a$Z*peS=lr9?2g7Gr?9+zY#7(NW|hQHwC!rNA@@T z-iuh{ZGNv-@n=o#a;q#PQ;~wfySvTRQJv}bNtH#<2UCrs=#a6tuuH8?!?i7eTWRa` zGO6uWcBk*r>2RNb1i3utQEmh>_CD@;k$!-EO zi^#=D`~LKJh%uz`aCo?bxz`v-AetQ4an;8?!?l|DxppoW7O`NmaXnqO+uY$0ix(~l z!&oPHtv^hOR-9lk>6^UCG2NskMUIh8*5+e*O;;#qED?dB zgm7wc{MeCAqA7!CIm=kwa6B9hBj#b+tfF6SVnmVBDfq`Z)jX}w2FKAWwC3Ix=?BUy z&{zypDNwG|XajVn_S2b0dsO=(@l4h^I-wwVlReXvoWpE(T1+?TI#f|1Zj~9K^88w` z2oOy}L-K-@3&g%nIncJKea_ zvHH(kwlpXGL{~jiOJqStmDe{Uc-Hid9A&E>y8vnW);0ai48YtQZ$bzPi|Q7;y<8&5 z96J`A=E3XNgBLHjQcx#T2{<*afg>zH_E2PAFO!(~v@A@{4D@dH=$n+q!7wON@Ga+9 z%$b%J(nm4UN{)74`>;6R>1G09S}@tPH#?o$y4Ug1a60WZ688#i5$4clObgR1P(C@J zGtwd77*yK?8fOui#O4EjLr3)~?VM0`vY%UZ8`P;@uM9@0vv`FsBdgA$NuERcMJ<{` z9d6{V*G>gjk5z`&&~dYLuH+Vwu#drDg$TeJLfIB}=jQk$u6V4AH00|GJ1M+H~{2XAI`#AqRd8mxcW;&5K*#cJzrKMsj7VxEXb!0*%e%j zYl@OC+D~xrhEq2+Qn0B;&VTT-I(2=oa|)aA^&B4ln68-)37AZGx^we$-5=Ph!&p{F{RX2>h>|NcE{%ezr_aUsT$p-oeQMY02Q~ zv&&KameOBL#sTwZJ~Khc%S%o!c{2_5F#2M1u#36wG{Lq_9Ztq0+)Rd=fg=B)zF0fi z0@Kaf`yB;)ISvM*)38HkTjyZVZ|9#Kojx9uJ?6ita%S$XKkY)RB~uQ8w_l)HBo^TzO#1p(Gd9P77oIy%)n%n5W~zkD8~ucb`(C1;)}OZ$n8H8nGK@ zVnmhzeHcrPVR$=m1|4lXP{V&AuBbUjd%(fp^$N8!M_82 zO3l@()%Wu_`hnUnb?SoK)TQCr-afBnMlh?HW)bZGUp=AMm$TLpONmT=E;Q_&$4I~4 zd5{kAV$C4&drhnO5c7#G?L1V6#<6CoL7K*gSp(SMZiBx2-@5tPR+Ny#-d#OyRAuyp z@JOlABYPrS8X*-F2*%fwE_LZJSc~#&D8ObN%Cw?HdFGI<;au7QphzUdWC~Q9B#=&# zPts+L0_CsZBNLn~ooL}pbcKYhWTTLz=EM>xHnB zGpz%Dg0%JHT}$_BlkGY{u7S$YO^TW1USnxrta(3dCY2xV6mso*LMVK{lT5g++#8|U zhLL*GQrOFt?=2S%7)0;@?o*c6QQ7EFGkpJl(KAU}1!8aWeuejf{j4|7~4k#U*!D^^9ON>Qg%-VyzV`*5zOS z|NY;GOC)jAr5jJNX-{HmeamX%@mUARt#mrBSh&)w@Z8%b0tS|SnaHlt=JCO3cytF* zqc@M4xFieuu`vr;9Dr!p`ucAifn9UB0k(_FL?)dS7wui)O5{IU!`9G$D|R&% zh^%J#=xX^bA0deh?6*(SEJgwnCm$m~YM|aVrlp3nSz?7I)(7k9G)u}9lc-cyq9J=i zSCb3X;TGYDR2`{2u@x~Ab;BU~4om$3%lM8;`=Mt^`slmX=vQTbSyaZbH^#07Um??G z+=Bg%)OsnJi$f1qJViZp9cS_0m|Dbs5ZLzPjp3m2U^ntHa5ktrl}m)`C2bpSjo%j- zz<}>Y>*B+Q7XI(xNBdpd*gG{%WmFV+=Y45-J5*>bD z7ZVuRzi2yV-28!q40=|{mD5SAlWj@gFHQ?ge{aE z(Og9IH|~+Ou3#!U+WR%7Y_N_MwbHiqYsUqS-vH((vhl_$c&Z-TZqf{Cgu7IC^S7C$ z)mpNg;BJCoZ8jFCI#qEwA#XAMa92Jj14h)YoMaO;i!nWFo+Memns+$pQsx&tvB5~@ z#!_~$(8_!d9ev~`8_7w1W{n~*k1Yg~0~;+_l^DEGN@MZH@D(kJBpGDM2DgJR@4vjS z$10f%S`vMp`Ba ze3`y`fzuaTQjI8rK>(yroxW3ulotho6{m@A`z(pj|@QYNJU!|?kXA6gW9s?~~A?@Aaq6fhh~GMz7{HsJh92*NjJ zMm@$qb}nLFkEHbw21&LNdApHoU@D+VQ}?`+?m3rMml_G)U@J zHLJpR?b>o3udI*!g8$sP7#LY#(&^Sb;6HaR2C>uUbe2#heFeYp>0-CSZvJgfpU+Dx zwByq%xM;9?l7&_7Fj{~KtMk}O47C~4Ns98aap=cdFq)uW_^x`Sej|5-8Kk7m*Py26 z<7-0s2>LA@wwPaz_@t)MWyQ><9q0C!q+!Q?*K;_?pxvFtYx3fh3X$^LBk>@TkJI8S z;Kes)6=36dGKfqnvWT=x0@|e68?bM^8nvo4Hq))O1S^^-5tUQL(@VUwOfy*T%J>atOH@vq{aPy6>!^XvCQCl+rhjaHV~&2c+9(%^=QyA3X*cce%_ zJfCzw$b7*qL1{t*w+ki88JJkrTdX|_Jpzg0xWb8i?P(ZVUzHdRYQnjDzwB!%xs5^P zEB>Ca^6A@Wz1{pH1SZnryLyuNvMp;xa!N~|)-smX5F^#s%*R2R&1JoQa`Uhd(XAE>0u1`^w1{Bx0_m$>0l$41mcC=O1$P&H;fnb zrQ+^GqR~a+LKUZQ{)=H#-KC-_s&qnw7lM0wAPU>``vgr99KV-wnvwLWc17KyV|lF1 zl8N<7&@nm@4X@mR5ttX%DJw(nmM=yNaH*?)n)vTWa%AOpg1lC2=kG+m8*1-pG(I^#9S?UHD>who2fPM!lgD%f zv`7yV*0YPA`U6Qu%X%15J>i|%mwl6DWLY8P@lEFo(&2U1XU3Sxn*uk%yH@%xF^h4-AeFq5tPeJ}=_+f=?MLe!8bO zH*!qr&>6x!Iq|83Fz$~7B6gg*7tlT`BvBIZ@wUma?toKRu&7E() z`9`QeywcDIQzV$ly(FDGlp7*7jefJ9x!@sETC887myI&E;D^fL%mL^7FM9KzHS!{A zXm(3--%-R#OEBX`JEF0J*+&kfaAlNU9_)^dw~ggSguLbta8#}=ID$*@D{n|(mD{lV^7Ag{ z!1vFFpaEwp3sj{pybJ1>pkPP`_oYd$R6b1eOV3Md>`LWggw?w=_g%X-B{m;wU06~n zZ3+Lwu=f%$@!%(S2H@b zGlNH`A>kS(IxPex!TDI%0jV9_X1ND#(H+iMr3G2@-M7Ak-{HJbaNG9EzP(%Uk7~c5 z8X{y0QEKA>IuY)E`~iddwdmJ9-QLD{DQ{;@gd=p0prll=o{)CU4p6;LV73k503NSM zs^uh4(c~m)kmRg{Ljj5v&hjl7=Ea7*E;oO-F^o2e%Zr3VSM#c-j2$(j#bBRtV-)kb z$_3v^=7jqa862T3uL>;^aEu- zEX*Y)Fk5++fn6X-0)M|q-@xj{r;F$Xl=YCyvYOCN+z73|P35&O-9-c=fP$+?gKvaH z(Z@NuG2vH($I2FaWvnnO1>mv$tEVPDI#P`GH-DctId}+ct*yha>p9U@Q8L?3V-0E5 z547XNV0zg^j*{!H_BM9QmQ-SMPx zkf6lN0D-!DtAzeRKKh&0N4FA{y$x+;J@29@7uU(HwookY9h+?Y>7w66xj5oG`NlsS zt=ijAS^j^u=iUkR(e3GyJE++0$YHRJvx-mXL`3M%j!C=c=HuJQPX0Vz6CV23yY6dM z04@gX&DBQ=UAW=}#8(Jx9-^5TZOP!dh*z&u8Zz*&*n$x33-!mfY76u-LHKMsjUr#= z+iB|T(CY<;$q2(mD;kH}jDe0SH0VVR28neae3>8h+hRV_+ zJ8%YO9nd&D`LNtl^Hhb9xiMREyd1y+0Ap)SP!3eskhe%WNEiggc^%)Pwip!_lrsN1 zqO=W^wh>0FgHM}juWvxL=NWOsPV$`MNwnR&z}oc|N>TaF3P$^=5kjklsi%0JGnF9} z6{g%dk)*>36^u6~%;QEFpzW;?w03+0*pN5(b*XyTF;c?mmQ+<<#H4uuHwOkwOR~Sy5CMNQIWbl6jpe2bztlnr#c`+*ZNGU@Z;Usc26mgUU`}vu^4& z(!1CR9b|cIgDEjdytRID55a!Swh{)c)pSdeptA|yj&`Vcru)gICUEGYC<4AUkFX@Y%rv13dtX zj}#|_XRB@Hq8^s>zL+)8Vk6r2yV}VsD&yAy6Sa=q<{r)6W74( z+T<%0^n$L1Sz%_2CylMI8%9s-#jMe3NtTK~3B%v)mZHw2fz=baifL*x8POvKJpgk! zU&7MF7o$Q_Z0!nr6z*T5AOE`624fW32*V(wq0)WL>fAfptE2rqb^!hVY*f!hrRv?) za~p-PTh}6FJq$igoRp5GM?%^}HZJ^$t%WaPpiVU(I|e{%Vju2}du6{4n9T!Hhc(m_ z%s0^@of`kROfL}eKZw@XF^0F)$Qa!Ivsg z)CVHFDr0tZjbFRB>1kP+80k0kyKP28d)wB`9HXHk`sfE#=KMHmhpnsTL{QlZl|UVH zh=k)AHGxw*j49z$9QhJI^%mSt(b9D$NV?L6(ygKd!McL7(`vk2|8{Bf2z?Uqe~$QH zzZs2BkAgu|EAnW^8+B~ec{^RB`qGF`jtlj@S9Ksl9R@Wa(^EwlT^}q(cqpOCiu4U- zt0mVSHK+P&_3Gs!3VZX{X-Hc<7#7QlKw-RKY9%%qdx_k1AulY^7m1r<%(R7aLb#Wm ztyr?G(V6(IV?doJlVXc!gz=$6IZ;IvXfJZ+snS}w8@E!1@ICPPQQ~R5-e%Jrsa$`A zvv`0P#p1Yj$x&>DPODy<55jN^$g}NGADa zm0oDeloIp>N}`U*aO{oVT!NudB$t}+MWJY%R)i2XOhwLQH{Phj%$Cq>W(FZ1Lj;!6 zHxjT&EHKZ(h@#mCU~C>M7MGjL2Bix-dm#zt2{gw%lum_1{#hecp=$B4Ia;Q|B@nGs zstA{2R4SZOYK1Dor5KTlg}*wx`&WI3xl*fYI}B_^u_HC99Rg}$GWMbP>dB3m#rmJ5 zGRb)vut#s<^zfq<Jxl1M7X0@X0FCQ?3~Zr8{LtegyXmaav0gHma@ zprgy6=lqhvaaqqEeEHhBYj==lR=#Qt`id?R4`6y5AKj%NcPYZZ z|2WIHX_;a;=ivK~B|UgG#hV%=)KnOp92&_2_5#=1_V~SN$m)fR^)lg}6w$dRCi5|v zPpBddD_}82C(nNLx=?LGtp2sx+cJsj(9gEUt{yN>%NndVUHdFq=2NuXrm9X}l|?x@ zfFzJ!vLvgt%5p9ZXtF*Ph49(oIE2L3n%s)aOMB5P{19>26xApdtB(orE6r5zsdJe` zc|a)*nBTqnzBi9ZK8<__D}>fJFTk+=?>{!J$TxJ(C}~01oAqJgqZv+ZQU?b3B=C&E z(v{Ie{fS`G{P#3zv;@Hek{htoCe)EPhu+KSyTWoOo_#Wi+KzHt*chJ)k5(42aQlsqAhfFvu?pu_ZC`BT|!{`sX<|all!?R+j`-7sEEH_Vt|}4MwMD?7})8 zoWc-37>q1pT2aYXqSziuA$#rMs0#JMm|4c6$>*o9=r)!nuA;MpSbx{qKANI5<{IrG z60k^=+`5Cq@fY6TKFwFw+h#vS{f=Xt5O>^=-g zb%ogMjv)9flg7|gfAA$fF+IZzRD|0l^wXAulHCgY`sMwavY0ju?m=Or)h+r%Kg%vi zskS91%q~VN{heG*zDx$$c(1q1b%U*f@qbT-(@#pq5?px_$u*{~Ntd|qV-o5wx9KIO zn8ShW9A_DYYFE=mQud9?PA6cDr{F0^j%u2>*?_Br+sbQ2@!lFdSg|dIB#FWk{RVT1 zQv7VPMANx$K%|2U!xtELgFss4AH?X@T49V*Z76~zds?GxqY8O| zLNK3$wFb3B&*=trz*yjKC9}8&QwlwSEWUp~$QV<4N1e~XXn2$tQ|qAfFvcw07`H`p zRe1hL4XDx*H8fZ&$aVx3Hj?(MY*sGwNt)4-=4E~j8^dm?j`d_L18*gCp9`m;P%%2} zOYzvOViEPYtUbDBIIqH?wecpJCNb%ppsVwlCIvsYKOo_ zp_|&gNmjj16iW7b4y*EA)PLf&&>mR(a61ArnQupnR^dZbn1rLEkJIJ0}^Oh%*2h37${3a~1{TgrQtG;vLED@krOiRRx? zEa!)wHYz@eMt6pXL?rQuSXik&ifIaYu*sKmuCF<92=vL3Mon**Y;?{0SeudFOc!?Z zw?6P8BhGM-qf7J^UOQgo4)7e76)H9hBZE{Bm$~om#D+b5c<0HJJIL*8+iiEqfVzWL zSl@%fusf^_$lYrnD*xG~>#>=CuVRhdz6 zs~W!a5ve5{2QvGfdd}9Bo!eZ~Izek~77WIGLjSVzSH2n2ZH%6L6qjFCjQnWwS^b^h=m`o}M1MXcF(Sa|H z@tmE<4!c08uc|)3-a%)|75A;oxuXJH)1IpQ;yOp)DMG}_O1!#Man zs#m!}7uyF-^Lbz!;-e*IFvKMD0d@)h^g?tJg&E9R)=G~2daI93g{HImVXH8>3Y~pL zJVjgLMZ!D$g4Ea{i_dJ&^puFpVWAH__@!QO)V(`pQTNDeVbdq@5B*m64^)z(>)Sd_ z(|K3>QYsCL=#g5-0O7kMwy#&{I;oOFZ~k#f7<0? z|5shkSv#2QHu-36$In(8?-0|>7%|o8);c?2O7K4sz$jEG65knSuJDChcLU`yiW`X| zT<0JDWQx(+>$XI4rR+KlZL{(kIEc+R;vq&9B<@9pN`&xjjv90C6W9P02}qw}Bm?-x zz}GwiJa0phz@y?-W?5(pC}ng>YEYCjm)vtRK1L2kjiDSLTNuilf1{D)!m73f&ChX1 zpY_6uc7rW7hw*rN_Evm1^;9){IP?&S-iNXnS?Aa&4x8D@&o3ax zooHSJ_t?hsVoXZ)NRLJxtr8WBT-}Uo0rYtN>DFrSyCi(s4@MSoU}_XJS69NT!2tb} zWPsp_+Ql>56(kSiGH2#*!m!UGY>@lAGBi!(q$v4kF}Y!c90!Y%qBR^{#jx zV-!NuI}1E(R=|Re91?k|R2pHiJ>v8+ON9Qr=zVeOr1F)@Jf6T8*0}lP$h6gZ#5=Y^T*l!jX%oW%PXz{)mM;Aw7szOOrf|R9lr|g z1^a=o%WjW4{`1!&;rVmjvOeQ?k>6I))uLQ#CqmnQDG>MwFxob&KU6LEccbty<(v+m zu}1Hv*mW&&6cdz~6w7xUk7y-Nss`1M4 zP(z*?(##*7c>yTe6C1KxjV{*BUm98$@gxZSUwD*`Km{+2w$yM}iUR*>Ei+B!OL5~&Gcxv^qIHRM+L!m*Bc<(Cu zO%@x@;2%|?Va}kU@#X_;R1uO9WrT>2QHc2P&_3JH>}6Ys59!Cl!Qml()_=V*Wf`-C zP0Dg5ux;tfYHvj)%eZwL#>|_bIjq=}gtJrUAyKxm4#j0lTX_cavQw=vWqV+p@CxB) z1&fUjsP239DSf+Fh}S5hPm8>SAD{o$SBw>e|9zH{As`1qm7rX65|{3C5})0Jw#je~ z9=30O^`rWn6{SY&NT>?ZRLs1pSZgCcV2BEWF&2$ltqm%hF6&gOG^r4wF-7%|cP8c< zv0iI--5Q|s*2q5sGOw0;4Y$TrrzKr|KB1jnvQJ z&{AKNL5*Zi)}p5Rf%3AkGrF7rZa(xED%osIhEZjuVJq8mcaumhrQoi>I^2@Y${=lv z>Ig~R&khWVl)ULRGhF#zx!^(+2%Lp_bCrkuX#oO**>>|Ip6WI^tk*i(b~|Zl1KYU+ z=8t{{4S|C|GEbv4#nVWV@;TsbxD-6Y+_wU-PsX*4=K zYEVP61vj*!hVcl~tC8F$dI)A+PUdyQSX`80!{X#N2NzunX0ASab+ z9PvfpNSJp3>9hnP#a6&+Ng2fCxQA2AUGl%~2SGh}WPop*Mf=e&x5*@#5<~kc=KSKD zKcfUoon&u0&ywM!ETtrdDIO`sv9e2kBC`|H*~}tefloSVjNNJA0N&YZ6|>D7GKFZl zO-j!y=2MOjO)g!0zk1Xn1qeKcNl7&iaymMt8RK0(#F|!`@RQ`Utgn-C59&Xq^ zPp}O8;2tc8)NW^uC0T%U``m9s(%tc+Vd%D8P#I{S$Vi7oUH<*L{Vb^r|Rcz;;Jwqt?H5e>Yrl2r$ z%NURLBDad`UwIufnNF8gx0! zw-d^U;(J?rPFb0y!wh5vX7Ls5Y&*mf1fQwX(c+kLBMF(KYrL4Yqx2Pzx+@00^&az|8S}h(K%$TuTg9C@I)qjU%AqOG#S?Ggl^2JbG(ki`9bWX9|hfBw+ z!Xw7Sp2FlT1rtmb2{@W+U`P=9w$dW1Yz!LDt@~KV^kLtLXVVzZl_BQ0z~1l`^aPHA zgONl0W;uJ&E@0Hkc9p`pA^h2OVx$#bu?m5IPGRYwvcYJ&Op`0lSw|XT_y+wd=Jo3r z`nJl)ankFhi25{CzWnjce^*J2s!Dtdc@=lC#xX;YOwlhp!c|Nz_B_kQY1DQwG28=s zKk#uyTo5PVk@<%zyjDdvFN#@TrxPK##o7yE(ZXNPonPUfsOj4eWLHTFl9#^`pfA`% zN?7R54k=bXWi~k$m|jAuC?YG?Djvfp{&ySY zSoLYrAfLOiOOGQHQyUI<+7rU8XK?|8MN_S62>CC_<7Pl%0?u97Q7Iia<6wVmU0c#*7b?=w6v!i}RlI}k7te^;uhCq=Vo$DO7zJoF&YVt3p#kNFIY|6C0`OiOS zj%hmL@vbXCRyp=7Y-r_mT`cv^1eZENyAvxW?(WWjx8(K=7IM4ee><~h<=h`Aqs0^O zv&dTV{^W;kG^_5H7G}SyH709QQpI)1e^rKpNM)@K6s?HWp|7jyY4UiBeDicB!EccBQDsbUQ^1wBq$XIdwWFOTkLQ|8R7& z{gkNyX?cCJRGl#WuR7?EZ!HKL?>IU69%7iFv`w^Vnkov-&zMn$<&>t0am@OVCq(`H2F zkI76zvKG=3&KidHr&iD~Qp+=71z+y)YJ7GYzt)(Q1e%88gv-SnZ0o1W>lK+xFJ+I#ZFn`->eLt{B3@O;@rl$w^8c=UwDB{fDu8g_Pc=O{W?*#`=BmZdNn%cNC7 z+UY@p2l9in5KDOUl+d!QR({`d2K6iuM{$lk*$K6CoFYS0>V6p z%4yg>LzPLwTtJ1;=db#$au@n2H0-;x|9LXU$$){Cu%@*0%3jv93P~8Q5KDYe#eUAG zQ{tQm^2c$ACW{`hgwa$E`uL~%aE~55=U3`|$695<*u zBkJDMTm0w<^St3|NGhjdN>Ur(OD^*1MRM)ZvADSiF2clkM1|x>-GF#KqA|qsd=xMu zpvz`{blegO#H*7=_m!c!Y*w&?>6*SthzlS{En~k6dnaocHw@p3x~pO-DYLeN95*bj zbL^c(x>+Lf@M^(XbvOThqj~C(JQ$r}-z2XM5E$1dM+lC3{cak}N^0DIowVDm69rL1 z1?8~4m+(|Z#HS;8w1mZ|jI+ylmLvOXrvI=Jm#*pWV__ya9!?UZ{Zif$j*z;m?tQSk zK2^$f_o>5Q5xH0LV^utE^R4-jbVpSi^uMbNdM%Q%hLqqL*mc_gFN=V?S~qv6ch88IR>) z-A2O7D&m~VFss>)PGB$}M|-1jzh{7qdP`3cz{nH?bK9qcH|>Y`$0d#5Pn)dU3k%dc z-otQ|uK!(T?$u>=*5k+{w0#OYVbngp(TU4`Yes$AWJ~ZSw6)&cXWsHfo^KkAEhQ|~ zLgn7Yuz;bBh@DMLxSeQQ#!)Nco0?}f1MzgRyuEd7o3btWDlf8G^kBR0R}7#9LR?MK zl%9HMy)Sy^*c`ch$1a1v-6&%dS7eaGSwH$D6A=xkBQs986Gy9RCbZ|2TvF@Iu~Jqg z;_9?MtQGcF%|Cok&2LaTt58kL3v_Msc+}eFTtKn52R|)0tqs5VD_zLSitT)I?MaM& z5f>S1GptG*&*iX5f)N7?YTk%~@_E9Qqt2kA6lWfl=H=HJ|8#BGA&6%WyTU!lmP)e6 zpFMnd@Od&ALjj;FzC8H6+*&OGIto^W&gFD)z`2ia7H}S)FEqn>%tR*bW8TnXf;|-G zEP6{$&6{7Tupts@K|WWOFR$tV~8QvfdXM@1I%DjFZ)W;}jJW<|4w`cKkk zzsf~J$C{~@zeeHwEYGjnBUWfk%aeXsUkbJLPdXKE;r3E&Cl{op#T$ogb$~#TD#9mn}l56?th!?4>z;S2#|q0CybJqBxaSh+IW4+D<6V z-~C5%N}P))mt5vmNz_k^_)SU#v(Akc_jV3uMFhP9CUI`a4C6VhH*>s`O_3f==3doZ zDl-dBr3o_fJPYP7+Bg6$lJ=62KI|>mD3n>U-fnP`D%vfg6eF*Z^9BLWt@%!*FyY#~ zs)5*=@3-gY!y~#vOO(|nD|H6wr_A4zG5t zVR6I9rSLn^Q$N!h-bSE!_^ILCUvk!`|2E@jcyJ6G#fiMYuW7%p^(J0>L*K#lJfVX1 zv-W4;@vf;!?Ha6?>F@kShWn?##@pxc&grjdeI8A`3ulmoMe-K$B;CYlaovrUMc;K= z*_YAArlEys1`gjZ3(Sx0;mE! z6||$Fqf0m6Ww6Ny(hHO`#Cw-22*Z@5Bm!$~t{r??x=h)^eX3;c)jHxukR;;}7uIT- zFkF_XDCZFWtkImPZw80BVsj3Y4Sf+2N4j8t2)a&}IeeSx^)zE= zT#b*m2%!*sl$kHQNCG28yqeWj=rGL5JN*{eb!B{!!rmA!<3-$Wt+wia4YR~i7jzW9 z!V;QD;u=Wc1ae}LwVm8KK052^oO48yd=ec{9pYc@8ILM_&~v-FDV|d|0uAZnS+JMs=OipQsM9h8bRg>qwXn)$rE)Ty*tC<4 zagRXyxQaToR?VDNPb@$_qh+oozVi@aO$iOIWTrv+UnxPA04D#yj(zct|5)gZDBdK$ z2MLp+XM9}dBtn~vkshTDwVpNt=3jw&r+Wu|H$Qq)>n-T)n72j>&M{4RX8iLg_&6HX zb4y&NFt8h#Dzyp%`^D*Y>wFt5GvKqQ28Rg8q<-4hg@DhTPj%jfxok`e^G)%#+803g zsm*3r*J!i=%9=nQej7aFqPYs6Cv`xeoI@#38-Wins#o>hzSEhRGUez20p+)zn(Mst za$c=*$U7ef9r6Qq!Vhv1Wm+b_Q~rSb0O*-NWr1}Xv>uVSIg&g@fY#JS$@e9{X?Tj9 zGB*9Vwco(D3{zD{kLC72}C3lxosC6K$sHFi^Wq1EvL{mag{^Qq!d7L3O?#VUQ@ zEf?j+1;>Xl|Kim}hIC+-q|YPyG2&W{s zu~r(WXzE6uxYe8wY{FQN%~2z=u00Mt`!p@4+a=2imuT$Q2kcjP$lF^bS5kkUX*CkW z%@R@$io1)Lo=w78$Cv1Fx$aqgi8#8to+OOjZTr#cAoqKPdrrO@@9dcY^sv2L(M?39m`H8y&V&aKQaluT5jjaQrmH0m=%F> zku?e~NS*?YWyd_I$}jCCw&W#@NSX+3lUF%|V#_M3Y~OaLhygB%BXpyBRI!X`;E805 z{AM&dJm~rAN)N-i9Q-Dpw2#8bAQ?@WunZF~u`A_&5%-kFfvYSHlXzmgQ=mz5hb0CC zL*&2wFaYVWNC%wHrK9NY0NR0Gv?7i!a@-#F%57Q!c6{c^S9$~l$X{B+Ja9FQ1f>D* ztq~s46Z(y4AmIz7uMu?%H+&_L{Lkr>`6*ur!aIy_(1S@h>5#@(z|MUKLxAJcnqrz# z%T7nGhZclT8-Am-5lF2O?K{q@6cK1$(dm0>U{G?*J4KF;+NM42MJ3XB+9vRyI?bw8SH zVT~;*z*fSaXzHWmHx5CF+n8EqA8TWXJz(mDDw)%={BZWw@HD1d3Cf_Fj*JE>1vw{3Wg$}O-yOksTx2rz$H8cv_`2AUd`WGhUq z!4QsP32k}yBj~&dSsflcdh91d@N1lB4o*K{(my~dObjVLQa;PajLsJpR~Wp@c$S2+ zHo7rWwx>=g{*|gQiV{DuO&s<_KW2HzwnN=ff7&GApF~g9iI%NYWZ;*rMY3}2j z&)uY)hdU+YXv70W=42>6)k7(qoufwVGbrU?tl^d5f3zduaW zc>0V~p&x$g|Nd#L(vz%l_Mp?as(GKA-|OU^e)8n*!-slTqmAw^Y+7p5|CvrTFWf{hatI3^ zkYj$x8O)ZAg`eLyMyq8Z2bRQl4Gym(-p|)r(u5oj0^BQDS=om@YN}U*$Ht;LKxgup z85RF3d8HE zLN?{5$Ff_oDl;&)hE+L)nyoFPfmNAr=)kIs$2|-fE8^o2SApFoG8Wy!_w*Z~PJ-RC zeua*f54<4*B#zXiMR8(cOU4p;fj1{*9l9PJ_kz+>-DIc2IrO*Dp>m|WL;d|uYHayL zo(2|jGk7i9Gu;GV$$gLa`kBTWDrkeN?cS&dT6^QQ1(W~BDwt=>&JReyq5YuZB2CW2 z9m2@<%&$*1^Xn-xe4QNJ0uJ3G+0=++R@*M_(!~^oqXcN6NnH&oY(QVywhuUV+g(G% z64-_v{`hwEezqumJM8(ts4#IlN1|9jhN`1~L3}NEG<%%P(^AY>bX!i-tS$(>tKzCu zsrx&fpvg_zq47j#7b~3wN5V8OY*pJmbx+^v1Nl;1OQj4W2w1Sk|{WiR{SK+?Zsr_v-HBnv{ZlgOG6TY_dO1F2Mn%D2{CQqL_G| zC1u#N>kmeQ@u*{dz40S)>PW1uFYC>`S-i^(uFr=ID_nZ{DwX`lfuHjTJ;ND~m%maI zBj>@X-kal-!SZ>);=ZazYx`n1L}Z6{JdR2^ZZoe4@ttecm_l6)7z<`^Zq7}qEa3(; zWGwpu=UAf+2c3L3#15gsPbmQagNUvtU=R>!T3H3+*Tr$6WRug?Wu9$U8%!D~x2Sqv z${N8v%+bLCH+hu{2R!2@kP$1~SK_1mDLQM6r1Bj*YdVSFsZ{_>2tA4Qn!@8&=HpbN#BA1GlBD85-u0@{KnH^UG1wr;Q9SWc94_i*xF69C7|6ySBWlC}EA}==`P(OZ0 zOycq)k**L}eYi_(x78#uLPW^urn-xTD}*0H(=FL|%(ob08o1gP{9UW3(AP-suh=H* z$Qe9Ja)z4SjVcsxH7W$yR)YuBjBf!?gX#vK{E*1&Ho0t>QIe7tYQ82bh}sl@5f^gY z5iF~55?Fc}=<`sO*L`h|omIYxsw0-Om^nU;#=K(4LCV5##M57HQ~B^x zGxxxR(vmT&sMu!Yc9-=*Qyw!~W0JsnHzWA8@laco$CBlPIif@u79A^_iFOO(JC-u+ zyGDE$-=w$YlRL08?~O*seFCYSFk%F0VB9rnho^xqJav08jA{y5DeS@VX5*&D1B3@4usnG8DDtZSO@FP2 zM@IeaSVcNQybdB(9y~jw7{g8ZQFk8oV97RkimlJI^nI*xbP&qXvn(sH(kO%CcKqoT ziRETzr#AQ*wwTOZaMX4JmT3;fT;PB5H55HE6wV$Ud&mbbcvSZsrI^bNyu<2TMtV5t zTa>EVE|(k|*80^!^zHE}GPECSuJ&W%YCmbCHTO`ut*q;{HbKHP#&Y|iXwEx(2 z@-e$3$1yt^xsMQdxBacU(8?nbixgeMFi*CtW|=p+ox&mCcS+<8|B%uFzmhcnnVJQ1 zD@?nOf5kuK+GpEeq{#+GM)cL1Xn1Bz1h}u7Bm*o%&~c~AxJ7bW^oNrHQ3fUQ__cN1 zWo2%+TA&mcYisC+V2Hleg%F=6X8UMb2T$-WX<9Iss-Q#DBr99Fv+Rc;L z2)xv%&`$3+*-kIi>xIFXA(h4o^)Y264eluQTy6r*puVUelPKTYj`^VnP6G z)J5kwUKeR*PC?g(;AX{oruXp%W9E4w{6_-T9t0<9$RCzxN4G1V5^8=%nrJ#*)D8~n%;iF2rlDdsd49q9({4dXFGhfHg2G&K z()m+m&d1r{x8r0M4=k~1il#bBSDY=YlC$(ahDs0RBA&$Yggjq=k7l(kaUIA%W4t~^ z4uX>s9W!O;WV2Z)LLP?cQSMoq=R&-jA>SSX@D8+0z7R8%cp?zQA)&M0Uj*A69K{>VBwFW@A%dqdUi?V6ByEUb;Quk7g9%KonTx5Q@qQt zt)L&=CrUCsM)2o>vE=N-9a*}2(RMS9`kEq?cLa^VR-H*iODsr=#eB`66!->2aJu*P z%LhJ&%omu8zWCzalP5iG6z@U3eb$ei{UnvDtO&wxS{V{v?>Qr#)U)Vwi-MM=h6F?V zaEQOxhQj#iy+z+G0sdi3#CoDQ9RXJ;)T)KhZ#?wr0xVq0)xoxpYR+AVBD|RdHk@cki*-+3m-L=5a z(kxc^)0w7J^*tI%$extX*{?u>@KaR>G5zlj(o7A_!^5EA#Zx7 zE=E?-!=iOn9iiY}muz=<=g7$(BU(7*+A;VIY=$O*J-9_<58hQ{$9INSW5-H_-r}rs zTKB+^l2lqJ=oRwMQ-5+&fNpEKzhm1*hj)hN$g7=~HNa|zQ`lisSr_>-XG;Ct8CEa0 zs6-&7LFAIkh)2%c2?MWg*i}fnG_%b=$AkWQoz#0?FVRNH&@p9<(|NKY@r!9(%#pG% zU8C0(Hcy1nZkMp~uPy|Nyq!<-SosU{E7p$x6bvn*x7FD;=Mh{JO&3KK#-WpYQSUkt z4EZY8fu+@aqfh1BM3mU3pOtMiW2ttQdtdgg#L6auI}cND*;xu_sZ`(T0<3Q&nAaMlL3{}ASff}+CHUQ)0?rB2gcZO zO6A!W*;8)*_%1TNO-Jz^gn0L?d;7M-)wS<26%}ll&seYbh3NH~Q`P+f4!C%*x?iFR zJ6-G^ap>wQs){{)#`x`a{acnBrjQ62{FD4gqgUjM?P}gZ4BBFE+p~yTu9+Qu&98)5iL{G8QfdWR#-3@fdR+3|WJwuB zo<28GGuS1hTG*vCV1T6>lvaZEhdn@!@qBh|j&-^T)*X2WK34DWo^;xj*UuwOiLkLxk@N+h9Z&9w;}pL5g%7=S2yb@ zB-u@z2bGk4_ZTYQQJq9*oq!ZqNe0hwJ(5CY{el4K6r&UAY?dW*7fz$U)JQQ#vre)C zEB-PYSrJOX8xrbT2ip)Zt5tKs#<5Z4SU!K5YaxA=EP60TkPed-wNjE7QsuAX*)~Rd z<}%$NDF^%m?2L_Qtn~`Sg+Mb^uI*|-F9W|Q`93CICT|vebu%#boOGDpK*6&c?H(rV zbIcwvI8(`~w2;)isyua3^mC2=Y~k9i!>i2l>^z5A0J9_7i_(ozPNui!MYn9%2l*#>qxp7KniNb70G>YzLW21^keiLRGkV&F{P;P z4`4%>-!PvnWs}Xy4nY!mg~a2h7<)2Zn%}J_)c~d=jh!$cW|e)(_8g`w|D;l<9EC{$ z8*Gu1%a~4lQxXt15D4EMU-q;mg*C zh;B~uG*fR1^9XUOSF5l&D=)1LHLQ37=bg&;@u7d37+D~HqqE`Ikj;vp+^pdMOhB{0 z)mmxGvu_nr_N2H>r%6loY-q^B+t{JuaNc>#C;m6|bIXA9?VJAr%SE$9^N zg<1CJKdL%;9bOYF_F&r+xCmV3)Yr*$OJ~F`BqwkzK(4@(vp~XkrFq^_#0GKsO2HNe z`8qm__HC6eUQo+s=1Yx*Zj0WvLC%87d%II#9b*dP@nNr1RL{v$QLq6w#ut7_=XdDm z+WF=989c&l*Uf!OOV3QRM0f09C+w(`l^WxZm`UFzfD8A)x|3eyk)koj-AeIm*NL2n zsbMOm)*%iMX5Kd5B(3$Lb-xln#5yhFWJ~2LWODt_ljzKEID#nM8z6>yYJ> zuZf=2NGjM*a^w??(JStdZ)sv1RcxDj0v=??cxfES&2o_+k7#wUn&-)GyzGf( z!dtu6-k1qeM7QPT!3ow#mkv%g3mi88!v{V`xmjWA$;b%+_r4g(-xcRLOb+yP1ata> zgWiakxK{CJiknOKJ?0nhFe{1ux&2~juS=0H-!Wj^^h6*Wy=zEH6EW#u4M2QgkG3}fwFkRz*Q`1Q^c!M zjGM^ZLw?eE42$FDO||9DlnoY2)C_*~-~riE z7HGBrlaD-V=jS-VU`@e}qUDX~4CovW79WhOSLRu(Qx<$0U&5IP<{`_J!%eFdSORh> z=#7?KE(}nfZ~8wY4k;7fpijge4A+5y##QVBrs1tT1|KDQRXAOvQ<;dA%at6ph9G}} zDGbHcdCrttS|=%w9*OMr1K0~tjzuQj18p+fU5{OH-Dyq0yaSH+)DX6Yi84H$qWsgRIOMU<%XV| z_TD{VY?!f;4kKA7qP^ZXaM1g?KKS8!vvQA6b7h4nV2Ij= zfC#LS>WOdZziUmIk8l3^2d;|fB7lfe`{DI+6_aqBPnFwj7c?>*N};V|0FTD8!wb1_ z9Yz%U&9VXCxynU~nyj`G z%~Pb|o%Kq^ZEAb;kvhQi-6hz9a6c;FQ8XLwi@x6uhvx^-32CeeaI+-Yq58*3(xvh# zjQlLRNQ;ZBJfBGeE-?kKH_Op^b8XW~l22Y;!eTF4AvZs;P$tGL8|MHn}Uq`5wTtlhsuRA7&-$c}E^X%9R zRt|-Ty`xcd#R;x76)l?g)I>wpm3FUBhqIp848y)P#ty%PUCJB9z!qR=7qBE}IweR9 zL;DH^AAELEKjMY^X@vYdgGfbRnV{a;gF5vFb%1`f=Iw9(!iP=F1_J&I4u;h`BsFLN zNQq||I)pKBZpPI#AIQ%bIoG+K!gb)KSuuI4xQm$Kh01ZhA!Qj^8G1;kzewIB%Xo#m zQ1W9;QIL5NZ+jm7!b|hM41}uiEIfYl>}*IlQTW%$hdr`izy&&5h`%-#1EE>?N{E#U zn{GkIq{Fa)?Q|Iy%2Y9n2XGqc2yp>jyAuUnK0u5`$ZPLfD_@DR%k=Jh+`+Tx+V3EUCcq-Czu%E=l?@ znQqmA?Hsl2Vf7BBM;l^kBA>p}+OFy$_`WSwu{G?~1&;~r)X!*Ev0dCsle3KeXO>4( zPDX^zQV>RxY^33pC9{?`WVXyBJ#+hd6(X}9t87)Q_6e>dq_vB<9h|mcR&xu8D{rwy zg!G_D;%l$k#$;v(_u#zO6hq1Lc!j|M8S>iCqp+Zkdw*j`3#ll+QNZ}Pf5+KXd|e{w z3op>H|MQjHnLxyG3a85p*mLSvQ6%WHwr~kZzPy3~e?1Hd^;jI*hx30*9jtOS%B`8YLNK!dHT2e&=Su(Jgo=uL4#6i$+ z7w6C->8faw&e8R{2uL!&w4&GwQ6?D|`@%V*0;}m8;s-32N{~gMDUA8kh?8iKM>X~F zxqD3~46qgSn8Quhkwv2`aA}+L`X+*IWy*-ugl`Oi#T{e!!U+88SLuvvz31~#N>Y*~ zlFn&-F@EfP5kuoM|C3se${n)pZC4_0VH57qAmiJh`KS{=LAPE2+CW(^%r{fOe8OWB z_6-JFuU4iTf|bL^KcaZ!c9zlvM(ZKL^bt(8BF|>3UB{i;b^MdJ>!ee=PJZ%sopx&1=}+FS zvrg?g`>ESC8g^;dX!w)2Yt*S-qo2H8<4)}w|K#mDi1ya~PHm$*f5P_Nd`UqgN9xmp zt9zoKq+>yb1iH88^8&Lor3$^rk&m!va2eYrvw;!uf+F-sylWuVg*PZopKA58HIli2 z1yodhRnaGJTl7g?(PzWAEc$F%TlCv@$XRWNoSnUG(P!bJF`M|UipBzJi#~bVqEG6I z<`wKMipIsQQuNLC!`nn)z36MR=fI09YL|4#7wy~G4`HR?_`WOMJUWh6T2#;II-~_z zV##^vNcJUOd;k~CA!oJOB>)R1UWO6M@G;X|r530t2qHTe!{RogsUoa6y&dZ-=9kDF=J---qK(99`t)n{9Rx*H^7L zuqhN8E_v@7IdrZ>ORN$6u|)3#&U3$v3;6T;JiUmguj6RWtt`r}4XZ77ZMV$gMh_0bRr0>vrqC8MRH;U=g;mS#n@CZ)m^S~<#wogMMbP#|g z6{1&p0Wa}fP%gb(e*Q|5u=IsexK3W=TWITj#!#)~I_?02kE(f6m|+UjsNyZI%aj~x(AU|q-)p+JNce33g(h*K#r~0wu+Y{p&IGt`dw`Y$Z?6=2HG(TFej2aPL`c6ABnZY2q z?q_)FTD9oh%u!&ra8@UzL8o6ue_4e-c|AeZqkaG_C0`4U24E;|6x1szF~~4Y{5(+D z#vLYi{m%SE+1g7;tG#x%WLUe-nL3)3?J~*>d!0{Q?61{lEj3)KW!oo#tWw%}1vf$T z6ead&Dv{8~0EW8OLK&#gcey=BN1EP8OAZ14{SO)hO$a(tRbw8Vos0%2<95X-p}}GW zrY32Vhf1YM9Y}pJO5wrT_9CfC^X8NSUUR0DjL8Nl zw#FfQ3uGNQ#u*%IFDV_1bx^S%Hu-7*dknH(tfoQX^mzcYEcm?)Y_xWavXzZN!dj!= zPU#PX##fTvK@9L;q_5?4aoPA0wE4t2d7VJqRuYwwKnSLjdEYvitHU@pHJ)HF!H}}X zQ?v&Qz+Ia8chQsMxo95eE}IYMAJJud)1qx5CNMEa{j0(>92@5ltvL#@)m%uq6^s!gjh#5w?D(JH>=P<24D=gQu1(Q zsJiQV5I}`TCmC3HYiDT>T{)#T`l39$v$vTt_Fq zkc!s|KaVk>trZydlI>{8ZJC9Hv!07eW}~wT|KlIJnHW_<2@T5M*g}q*)CwXVXa)&< z=YzuG!8NDqN0l^;2Ko_$sqv9i58Bv9>evTM*y@s1Mdq+ZWSWIxTw-(UP-L}l7cJ~3ASJ0E2E)4 z%a?YSoE{C!=+g(Sn{qSB9eX2@!5Pmj+CzorUXspNn#t0b^>FSk$uOukR0!v)Td0!} zsdqX)9+CAWA6^xphzii&V>#MiZc~NCEb?o3c#&_*V4v~j^LUwN%s82@VA>`>v#e?) z01R*~FtftV|3u#ec55vC%NJio2czTT!H78$24j~jPaj#d^H+^6Wk3<}gkobYg)sQV zIwolbt8X9Gz~QUCxy&!=yj|qW3jZIjRvyAo$|2?tm<@%F`8Z!lM#)QY2CBQwvLinz zkFB~62J$Q?28|bN6vz;@5RU3rqq(Mr*><_qC4zZSY6zXCDAErj|0bUA(Tu3>uyWIR z!j>bPF*e9A&F~B5E!VGPt;l!&7=G-Ndk4cvT!(nbDYKj-wwMe#BLN=`z=PBN93yh% z4h>_8DtKpGK@_W=v(S*9U{uggjYGeH@t02=+SrA zlC#^lcQ~23;*OpbzXU-?-tf69R;NEDAbw7L3SGZcO)#;NKAxo`N0*9wy zM6GZ4w)E_?9o}}0Z%YiJ*n+zlc?f?4e3e@^ihJRGwCVO8^}hOPeEWVHzps8exP6-r z-d~#zZr`T&^zDvr-%m&HtDlZ<-%rQyrJrv8%1?mbs0JLar$jc`4&(66-!S4L2s)BF z?0~umHJBq`v==V0U!_@Yqo@j@1iH4X8DgMi1lyRAYd{}eThRg<>D&%h!V~7QTeYOV z1eAMN(&^edxVJZnb;G)~MY%D3B!=G-%WqI$JJZ_x>0;<&aZ@@kl5B~AfN2iJMw2XF zO^E{a=1+atEcPaekKJM}5{$IZf8O!UFEzxIQ~ltQbIv0{4%ABAhp-@c*pO`5hWgYsi88xSTIw`hlC|u@p$FD$;rkAevoA5h zvQUx$xTe(ys*~6kL-lWdQ0FzR z>M(ckpPo4W(-W9;-TkK;4VUliNPTMggYu$D0*2dgd%vj_k+5SJazHf+aCfULNGkSYsoSGuW{NT3@VU@L6w&crwYA)3 z7o%MTD|g^$qr$01Ki18Wle><_Pt8^~NtWsCbt*1pL$4g|UBUiI8YnmaGXtVlvnnH` z$Dgbhex{6SieK8S4f6z#QtJg3sR90#tt*Iduj6E}_5+QvtRZ3`qy+&OY{CY@S80VU zJ@lN{thOaU*>HQBhDzx{I)(rRLluS>=3}T-5Z-L98f>ZXW?N*OK8Iw4D}X~`_2s{Wd`F;uI=#oBOm-s5OC z@Ls#gHL(p_z{BA(nxG2bM)2-zXgP4ICP4a=C-+{wxbxyg3)&oY9AGf~D~;-2j7DkD z7HhYEM~4xC$$O!kCqYFKUpb zQ4mt_pWtcI*jgGFgkd!sB@k9Bm@K9o7W}k;(#u8k1@@FH#nC&5BkyXKiN;nOslT}< z-5>O79N1=-sr$9E9kS~)eH0y27=}UtN>!3g1q4WfX z#f0M1(D%p!wa6Qy^owILk`|0|GpIe;0ZfJD;TUYgD`Ab*mgUFEe5~du zH4QhC@-}Ug2eq9NY98Oy+`bssTjIY(JNLBj!AK()X!#3`CaqYq=0@Sd3#yOyuE4~D zV|`3{05}Mbj*f=AP;7T%ksT3r?IBIS-xUrf9S#u9vasXJze{-`YWKt%5hCNG36u#V zLipcd(619*eagD>6$Q3ARisPwjcID^Z7EArxH6WD+cX#pa@kP<)VNJ7SD+7apYh8m zqe0$EI=@IVIFaSsver+um~AeZkspo&G)5GeF}}tZFv159lXK!kh4*-AUMaqe(=48l z28t%LKvoP#2%AqD@$@350~)V01jN`*jNqKQfl;jY=t&FvvckhYO7+TZs0f21!?J~+ zZ{nUCsm7*1Dw1Td$p`mSGvJ}1J-D0CXMc^h0$I6?C1rdOynyKmoHyF zioSzE{ss@nmq`XYhFXk%*pI%G`SpWoR=PPyTXQ&slJe=rBF~Vz%mLYLi*xG?i>oU6 z_*H2x^^~}c~+pbs#;6Ye6PvDp5@y~ zhKORmrA=vVnZijw$+9@QDB{;J=Po=!1^q1%LSH4=wfA)1TT15%Wu`i7EMjNj!wQR8 zHJ8ckC9mPTqUj5!Xt{lZbX?ITlK1h!yo8TA+t_wPu(cNZsx-O2X)N6UM%VAa|Gw(U zqWjI=Z)s7OQ{!|UZDpsN@a{%A*b z-&ge3v?NsFdyCaJR~wg@S;#r=?G>vE@6%JN8J5Rnm)NRqy_Jfk%iwnHSkis-kW=2x zU;AJuiJ4kGgz!eY zk?jb1XzlrEbCPagAm=W0QbbMjXnYXp)~BH^)x~4Kx~D_diDbPSTKSz%-$UFDeGHSo z*XybZE5`&%UiLWEy*sULr@I|mZnZBV9OAC>=lHMMqR*r9IG9^G#jK5j(r@QB$0`qx zz+qD1#{;55;dnrSc~vMje5Cz8@nzyvjs!&x!z`RBLfd zeEQ)2eMgZMe|XvNSRsBcK9~LhJ1n*P{%Mt0oi8?R_%4aE;@Q(F-{y=EPw~KAx(=VG zVJi3T6)G4G`CuxQYd6j^g|~iBMb~u+^j&v^+V%XAUu&Q2ZRGCA+^j-LJ z8$7h>@PL#h+dG{56sky)SonT9ia9jnc=(04!gCKtfJ_Kj-SWx!^v>boA+A0p-iJ9B z@j7_t2(R?o9oxyY&qsT=%5tB(W)J?$H@Fp*LN3fQp)XWq41cI7+jQwo<3M}n%I8V^ zMxsu3z^zHR?tdez024x}$ErzpwGr%I|g+ zUz;6Q|5e$#QvB?J2_AUS4$HW!D;HEex4-y;BX!B#79ckPDJQB7TU~5*Se#8T-5k|F z60ldxiXJ(&KAde=H9n;b#}&dgSQe*oeRw7(8APKKv^LL9^x8E^vLJ?wcMZC}U(qdf zd`J3xk5ENQ&D5blbM&7tHYpuL;OX)TidNDC)JE;xSX`IXjl=?`UcjX}19QwbQ7^!f+Xmj}R|18jYgk@u5DiKm8S6T|$|4_V$gc!9h;IS!%#?uTb}|qQX@K(`u?$3$Th0fgUcZA#9CfQd$U|Wz zZe*i^p0r|gXY9#e(c+^hNSXc=x5$x|Y$M zmQPB5AuYcc_L;EWBD+kAT*A-#VLD}@*SEDBl|baq;*oY;>mr|Rr<*Qf%&fNP2Go6) zH`51=GKzQt^zec)47N>?ukq7eFDH2xS)_89{ApgZDA76R2*kRtCe+ za+j==IW(2}Esa`~ z)ett7VT_9I1)OhK3)IwM&LdyHFe0Rmc)dK*tS(ws#9pJfR(q`t*8CiHR16ayj3{73 zC)}IA{81;)UnjGmgF2Xff8&g&ZsaF3wdo76a5ijXcYfiUFMaos$plEJ3&21f~ zbZ3vkNfTcRBgLoexGU$iWMc@UQiwVg1wHzj3Q+RPR68cZ(t z74hp1%6@$PZgPXBw>Vgm;eRAK!^XEO4-)E{Vk_lxQv{fwkX*J2l zs@2WhPN`beRF5&Lt6R`QovL<_MN+d=b6fn78RA0NhD(=pCwYQ*zzB77#S)_&Z;bcp z%($9Qr5QT^&b9CI37WC`e1ar|pG$1?0Uw0%`1JJi2USB?oo~JM;&^z7D{wXW2)0-a zkjq#c%p;gQ9*$2?7mSw8?PMmTXJTbgOQU9vn<*H~C9N-VyMU5lqlK5$o&*ihP*u|w z3(dsTIz*r56JmJMzm)5=pm0wX|9Gt+qAR$TW%Z$1`v%MXBP~lyhSVmriY#5os{A4; zrmzwc-_nbufc9#V9Lg?<%PIUsYew{XjMx#f_8#aCndVIEiK=6IzlG0^DdK4S@u_QH zsH1qp&a ziwk6Rl@lh(UFJ(JO;rNReQa2vMn`wh1#%UED1ul95iW2!{2#ibg>D>Y#1wsHYDb5umY~y> z#1s``>xJ?ZT8*vTXg1yoK25Q=ZgS(~j^ZD)dt)3!HB7dw9<=&`9ygHY(dp?S z8;0;N3O%2mo-kJLm)n>X4poyX@i6^rrGDqO3=>@_-Gsxuy=1wuvFMxM@;LkKvs4k% znDprCdK-7`h_zn224TjWj#`o5-JCk9s;6$MYGY2#?a2PZIft4{naZrCiLPd3SYd1X z#D^AbI6HOUXN%wA*msDBy#qe>!HI9A0v9Ho^<|a%uSj(JysqgHT9L=S!bX1L3}f#_u+++<~j--xMbsD_SUr`wMdhQjWE%R~v7DHoyEu*xRPcRKyRT)fQxc zb|Dax_S${*E=Q}exw4qC}|%sq9_w(N~l=UR4=%L-|{OYD4gOAR`x9==oO z)Dz?ph{gx|q>-s$vf6P@dnMNTHHVX&P0=#RbrzlsQq@V4JZTlEDn8hp9334=g|$vU z6Y(UmDDCodjHk{%zng!)F*A))9vMa2frH@~4+*%3A7J8fqF~thcB5G=)Y?^)c6wUD zz*qKf==8MG;;F14OM5z{mQvcFlO^Pff0{OBr0@79jqwi5N?3sPztZw8qJg8D!Z8o0 zT3oj_$(`u_q!f9V80~$RE_?tL!bHXcp>|jIJMegN4bH(vn^h^QRhyL(mO%1G!2>-G z!p#!}a%YSv`jhaIwdQgHWC5#zB}^U;Q>g;UGgUoP+q{@li6Df0oN!D!hyKNlBA-qd zX%1$83SHKx!N8Ej6w?!w|MN@OVXk2u{_SqwUxx?BTLNiBc=W^t(eKa|AEVQlR*t9g zYDt#&*IRw_b#$bOcTL6SsHjjVR^BsjUGSi`AwtEnXzp#w9Sv&>UMnZF&G>F*zn7Mv zkn>=CIp^M_II4)nRI}UD6*p9Ua~w^DHoP^WX~Mn(tCcF)%eR_3`Tgult1Ke#w$>|K zLP8W zpkNa&`i4NCv|dE>g*riOpjX@1X+-lNB%=s>@SBuo3fv1_Wk=+`z-xVD0lP8m*%C+6 zMxxBhQzc?L(H?wDTJVh5m@q(l7t5%G<4ciHuRg~8i!L-5TNfRmlA?<=%UOyI%SXYn z$ykk)_15xF3H`bHP5h$GRr|7-U<1HB3QN|=HQW5`Q0mRUNXEpRh=|rj`eTDk!Xsw8 zioROetQ;K}T>=~(E&NSQG#nnMQ)Ar$PL7(IcjD)0tv5`jQB$?v2>6Y6dA}CcDw|^? zKv;z$sv8|tBTFnUI)HN1?Y7(h=vRt#VA_AZAc!h{kgb zDKnbkS~iGsyg3}0CG%3;XXvl+a7|&J15V$N4eUOenj0N@4dF2PJv0#WQc{CH^EQoqgt;^uf`pTuK0w9 z))?~uYuYC7{D;)In~&HTt9Gb*IYqsPX-nh5i!bj*PrvnYsk_iO;_NAe@2b`V71IeH z7ZSO>R3T<=NEfspAKnCRao<5vtrrD?rr=1Gu}j%091rcN0Fbg)F`*a99lH`p21-yH`*i0xMEE8P4`rzDO|Nqqr9f%B6uPo}L2ZS~8f7Q2`P>_J z8r!=k;Lx%4eFtFnR0q}xOniE7Q9tuy@5FC(dNcdP+GapwQ)O zbB&Rt<8Y*t!imvC=Sr(UedqYCw~pgMaUgk&v&ZyeH|305l8{DqzppGvmA`# z&DjA|HXOo#z|@H~nqH?O1-^7sI+Aa4)|^7Hh?)eYmzt4}K{A}6WINWG8BU;S)vO@1 zgRzgPtqCeWNP7sYIYRa0&8N2WdMRt`pP;~)m0=|6RzY_XJ)aluIo>`bak@!6&e8Bz zwE!He1Xn?PV?`3&2;6MZ@Q7X3W}z(6*Mw2Ry(Pdl=97y#@8MciEcqy*tDa8w(M%Od z27Agy8WH-6$iMnQT2Bn<8HbfZ#o6`x%baqVSX-;_J^}L)y{SjqiQ-7E>tGDiAG7xw zHIcYyweJMCE8{xRn(Nk>XYgTym_nO7T8Eus6xC2;qF-a~-`GlW#r2hOt`xY@oq`_b z3K|y;2WV^&Yo+LVWzs#_p!@Y{)%qTqYyAonAxAf8G4#5O&^7e+HRxoqxVKz7RIYEk z!#gX_-}+UG^`H|comT8Pm=^boIf-HkvDB)A(_lO#H?#Ic?G1;+e$YpyXv1{LPQ(hs zL}iR98}vmJrp`cEj>kv#<~%yuhhO#)_hX~)FeM_I&tSFPmasS@2M8IN#H;)eY)Oo$ zM9(t@qfr_;O^-nMx$?5oifwsl08khbZwq`-`9Qi4YbuXM6?e5UY#y1(S0 zuvl>Nb#Zz5{Nb}ednO&)v*fd3mzKz_@1qfnxQRGztXpF=NasDZNyyB~=+_C77?B4K z8_=b7`e7E%75^PO5T>+#yvwG-I7Qb#&&4IoMa=Us>jGaE5FU^2(I}X=QkjNJk>H~o zQn(Gd9x@Ee$c%~@Fr}`-x}ROETLN=NPKD|<{Ln5ksUh!a(i2mMOn!J4XD2dy^`n^^ zNYl5dJ4B>@Ww5zw4Gi?{tV7?zqj)l2)7kYpI`=-lT4>GEo28^ZI7u>0_$28Lrvyx^ z3$*3D%a9cOEv@xj+Pt+r@b%HiSWN|yMBp+hXV_hVP!e& zjRpsOr^|@ZqN;DB@Lw+oOp0DfjtX4HlrayyapTF`sAox*lr=7s7m zRi$*>p7dJ;lPHD711)zLb90>J+8eq{XQt;?o}hJ1U%?cGOXXsVKJ~p>-{Q8Q#Y#04 z7c6L;mucaqO`EscVD2=zGLp{VJt9Gm#-O^uVc+09ntVl$4&2G`on-{l}JO8hPnEm{H6 zYd1>)XY4$(?j)ajU070){vsfQ4p=sY3lqJRk)&0~R$~?ICGprksqa7LL&prgQRVj^ z6%wt%$H*cc7Cttjg^Y8hxd-3B(Pr4QTGkC$(-5B20K;O43hwPZ%ZxzpXc)6$d zKi}cavTFp_c6hzVbYs_7W|Q z+*Bkvrtwtr2D~aXxYZVVsKX_5Sq=cxU0c+Wb&cFuQ544~dqO**mGxiV6i1 z^;LSl^O}1--7P)N$@5yJZjg5gkhw^tQBnR&4mW0ppl^N9Q#>@vk{BSlC|&zR@^F9u zBS`{5prn%s;yKn^lR?5vN1phORgbL-+NmBo;I1|rDA3GC7~*?TWz*G0_^BrDT5nfy zj+e}8ghOhMpRz5t#AI!#EE69@;N{R>fQ<@0Be{~jP|C>zkNTy`EaTXeOdI2}!~8l8 zfC4dx%I424+DbU*qYA;jNPI+y$suwG{6!<;7es{$TO}P0ejP0S4ApV6Ey+3Un^M3U zg}D)5BIe7Kw1yUvho<*_GGH|PqZeRS;3Sw~I0;50it8AMtotcU2JhcI6uTt7XqFp0 z&n1xFCZ=?I2FySGQ7E_Tv(5=!ttwi#&G2d~_;y51Zm`adPO77xISyLsC+N@`>9m>l zB(WAsr@BnU&=lsGs|lP;gA3xl@n+*h^bzzFnqW$jGxD7p>*td`lB%^3qkfe+)rFc- zM?z0&KAqe;sm$w1kI{`CLuyBsHhd@XTYfx$bFM014BT2Td2We(D2M{uT;063bcx#`NRZLZPW!Am-*~hBso}TG*x_kOe z&FtCZ*`uS#%&5%hip+6X`H5Fv-~k@s!9qr$BN<~08yg|%gn0~C4-#}wY>VZ9uhWp0n!31*P${`0(mR=^&V9Q_|wh3Pb zNi!s*XD-;79*hogsy_e7o>(^A1w@hOg&IP=Cx>tXK zI#@WV+F7mSjUjF*Q_V#Tw`kF{YE^qBlp*HBES&Nk%mwY3V?7Nh|JN{N;$K79{vh>X zO({&2r*<2=$=hFc=4(s+V4CNCp0>@-9_|fbD}d;kPSGCjHOUG4F1LOO+D^6%QCl~V zP{Ys=VN<`PZl@XEs*c%C6M)w?asz)Qq<^Re5ygfzt5@1N2=6ii-_(!Cc<>7Mpe zDJHTpW*BbF^TwAS^8~p{>bd%UPPdw5-!~?{#vxQoZ8IkDY>h1l@?z^^b~>vUiH^gb z@kS2h#$^4vsvY0{+g!~b;H|$C?MA;1bj|!{6X7$b8aVBMapv>A%ks=O8y0ADqoKAA z_0ink*1uK|?(RBG3=r4p^f$XNcfS&xaGI?HzwkrE>F%gYbYkC$_Tcj`n?N=X0ifOK zq4^n9w+dL~IU5k@*gicpUz9Io<%93SYZ7Km$C}BjuoHF;EXtQTY;dsKDRVg<$2ai~ zg8!C@+9txHRa%6NwX;ZYN-J1ZrA$k$Z9sDiZ|xL{@`SV@f@F|(eDaUJiB%uY=jpCo zn}teKh%KF#8D~0y7!y0I$Y@AnxG_Ps(Rjhjr*~jvPB`KW@_$4@PgmIEfTWyog}nWX z+8I8%>?GME)S=GI1NQ3nV75+3tJ}6z5;4@$J(fl3)vL$Po<08dTXh(NiTPMf%*QY< z9d_+X+N~iSZ~j;Tagq|JeKW0g7!ti&M3$K5;CT1=XwRxLx-`7<>Ge22V;6nE;#8n!((aI~L3p#nW8Ni>%`P!SM{v8u z5cU!#d_1uW-B=Ap+a|Y2*7JNyKqdGW6ov(%OEarVG@WF4nj*%aqqU*?p% zpsXEzib*E(B_8Q7m-*xp*f_>Fk-o=;HhUyiV^C73!yN@ir78u#-TY#W!K@IBtvoQqdiSa zj*-B5a`~94U6=WC7bCWuT5Ea$La|@{-WNzwi&UlVw^Z{2>^)J-7T6|F%;1WPP9y};;GukYXTIv|Dd0dV(DJkF!8!JJdL!8GCVyw zYP3%RLYu-QfO!J$9@F_P?$q{-&TUYt7j(RBG4|Txs<3wN2;>L zp)aZOTnSC&>I3D>ix{%7)J8K;REd*cRX`Z9^yM?1wu#!=-g3THp{yCOns!_pj0*t$ ziX|RTuX985;Y}3kjFXyoq~-|zFMa|4DXG5*2!#c{)%JYK%4K#x9#*xZj#aBa%kr^$ z1lcH2PQt}X@IxILI)z$nkqHx7@!B?!c@j_Ab5b_TJ9DiA$S1V-3&K*#hOGAKsub>r zF@TwXg_4oXlQ2&!kA|dGj&Yr5EIko^o-LQ?GDs-1!hN{G>d*xcww*nu7qCLOWxr04 zcIhHr-?d!Tv7}Zkc}w`GI~Kf%i_1ixutUZ34TSU0()XdU?N{6F-~6zTezV#oQ_P{( zO3Y}3F(o30#{lIc5*PdThB>8^3IQiR-uJvs%3T${rVL57-SPq_2DN!>( zbsSV9G9t?C2=>I5?|z&mBl7cPS)|d+1Rd3_XV_rbwWT)1{z#}9mda^cdj+emkp)l> zAZ0cGF>qK?kBp;zohEAZ;!9n6gV73S;NxiPh-ApGk?tA-KhpVZ^6l&#Ba>7rvso(? zrsWPpz0_E|S1&?W_bFyHK0dpEHD0xJrVPwgDEIC&{NcqmF%QE_+EvRoqbu#G{PM@3 z02_Trm3>cjQK8@c;(Lt|!+WmtBAfDWy1eq2KlW^1+e31>%cc>&G&m`L`Qu@sYWrCP zq#RfpTwCRMP1m+9+x?w1t-p`Hqw3&GfM$zgBQC|1EXtD$0(n!=f+SvA7&xT;6SY2j zre3%D&nxwRD4y%o1rum^1oM#fb3xEugXlb@ieVk#!O05;*5uey&nbg+Cwlr`oretM zx3)mM3FxnrVTvF5W3{|e9<1u*OdU^U&-61}`p0e6HQJ1S`D3+OsJ}Gin3oLGZ@r-C zp0<%K@N%Jh`zkKds*IlIt2C>-!%Ph+sGY0B*(|w9u5>l(gN`1v(*;2?)c*T{=kl zrP{``{wb8p9C?F)S7a97G^Tu*8=@`PD>I*w3l4XsQF?{;J$4%B5%~p3%y1j_iOgyR z-Jilt4LW3v0?U16a~;-UQZwP1)O{0A*E02CC0~}sl-@lKcX zc&v;vI6*;Ceg|8XfrC##liK9hntRrVk5bXfISK zSLET}!T!CL%yS|4TrQza?gx3w-ri_}XpFlVqvLo@7=s4$qQjD?iwe>xT%tG}tfIbH367nhoKT~?ucgzw#n#|@cRm&KW_{o$7z{Y%sDm}~9CP=%;fd5RU!X<~X6l{T7YGZI$_icIe z!@t%}jI$(}>NKJ5W;?h4dPf`JAz8wzOzkao@8!C?TIeWVtgy!Dc=_7+1h|fNmm1r^abkAmOgykYc!taBSA+<-pP0!Q{MQ{a9z%y;S{U?94Iq3|L zTkP(gMz2z}%T||aas8y4Txv{VKdCr_!W;zYXte0$=wLIsI0q23ZFMzbCXH*s<2;GJ ztBc90gSORT|6VP)-x)^{U)suvoDP^&sc}txQM4&as$VuH6qbQ$HT$qYIQ+uZ@v=b|fP<%9jC;oJYr?tc$lk>R=w630568Mr`|0*|*YvCVvBl{)m z>~x)A0!xqAj8xgl~Jh3tpoZoJ2S?k|wUncs)nx zb}DdCov9pc;!V21;3>TyyLkitSC(#Ru>22!Alj6QrJr2ZfvhGh<}?6yTGClSiXtq583MSc8Dt1wHd)wY;{2j)E1bc~typGfi4=CF>wd=~%FE zk=g}RglA>ScjAa;MGul68u`S->CxV__>yoXa}^M~t*lVy~dBftt0B zbt0&CkKq(O-0M=dZHRsG(uc15+*%_2G;SL#k+*pgz0K!KRCpO3-`NDg2I&X-YTp{Q z+AwcT0V#}3Orow2hfeD@uu`yb+C=Fmj@#NaXV4C|2iqH%F#eP=4ln@)TS0!LO{m+AP8?lDtUVf{_pDOO*NF`?ne9jd95oARM541C zKQkY{9tr_e(wX1YBB{W8xsIzWYfM}fK<0;gV-1I3YOZXKrp%qaSa&`;90Lj+#Kav;C z!R8v}9s$s0xdVgnsby+T1KO&X2*5BYog+9kEc%nQm{jSy6+K6GEP~%@KeDrlS>~8l z-`&j~lbg`k+&VXgxVlUb6zex2rP{}czIdT|?9mmJH`8STpe1Ah%hg;}t;v#dQ1`+y z|6EK*6J=rU(t()mOf9G=1set<5M0b|f+BylbBYiPy3Pf+6IQHV^B;Z`fRV8k>Ec@n zV1bFUCaR(jaAc!M@PDHoI^)pViKZFs<1#45{w6w*xDv5_pQzPzRw=t@w6}M3r|ca!C+fvOaip6tfiqVUVpC&u(W zR4OBsCLer#K}+5Xu+y{-Wb_r)_B>JBAYSVPMNji;jI^k9OC8(_{;OT9Pu=`AU8R@m zXj?6l_i7uufFqyzl0vu{1aF!n6-`VvDwKCC>u#)2ja>?H{1m9(Az6A+sr79UPea7! zi=usyKP&y3?=efw8G@U@DhHj$y2ehA;nVBx31dJTML@~V#@ANKfku%SXx04dWb zN+fgFzEMlP+O6<_F?iYNNO2X2uA}`uaGD-y-T{i-5O)&ZxxcqNI@l-`nQqeuEeu7q zp^?=4`}=fmHJ017PzPZ*x5|8Bjy-I}ft}nd?SsH|jW|qc14wQ9DlbG_7yJ^a%FGpA znH77-atYWuwaXQj*1^+&_asweg*4|;&~zYfjcw^d@O!C_51>c3)+s!zBDL)9SYMsL znCU(G5Y&$I>x^hcfeL|)PqlKZ5hO6%auUbeCUB$fTh%9sx?W{*p@Yja-1~w6uW@pb z8v$V$PGxN;f@9k)iCurQmA%0!+r!{x!N$S80H5BhRVxwObV}HuO}GC5*Di>9SRpDe z=D<3K5V?>ToN*E$!ZwHCJ#sY|)QuWLsNFdi#}QrB%7P}W6E!)1aq`JT%T@)(fa&4D zKYW%3ZI^gny6gDH^Z$kt+od~fUmv{nqm6yB;kT~NY($perzGmeoko^-{Ehj0! zpfC2-2J=R(HM7bbZG-$A?wUaEmH9a$q7BdB@X1v15N1Sktx@=e%WS}_m{{kD zw*c%yWGe_Mv&rOo;W5bzmp98zVj_qb4mGU?Hs$*CP(8ScDT1<$l|6!M-GBXI8=$<6 z!Ri$#RTrh>_qbccx{(k@o2o+C<#znM_vt|hn;*@fkc)589pY~ofQET}Nzr%_}6WtGYtfVSnRg}Se zz979VVS*&V7Tkw(N?YQF?sh0q9gxEYer=p74Mg#ntV~HWCw-PW{@h&(8(i#aF;541(Mnp7J-_#46#PMfnUOKo_7P zG|g_Pfx=DE$yf;<7)uOPQ$)xX?WP#q(bEniMA{28xv%F5W?%nq3^_>ACpiZu9IH%J z6K&D%_9PnIB&^A4cv8q5Nj9iLKhe92NxDqb@RDz9lbXB-`&G!w=&ohmLN(eETo$L2 zP`H)K3i8qQ+~<6!fM}xiGi?WGLFII3FM)Gbz^6HxvviBON;2CF{!p$GitEBq0zG3X z7B4Q|OaEInhxe_>xvE(ns<-Qe?_ROE*7PE-Z!L*W>@r-wf~4(2idCwUMsAdxB_En& zU(u7FH^+xY}s zx;A?Br{eA%yn|HF))5q0J7zXSqjci3YFC0fQk4iaQWJqoEXtZIus^i^2u*n|MzCg_E@Iu*jLySU23MNXn+Dfu!&--m5lZK7^XsC<*b5 zp?I3+1qf+7rm&tm%U{ma`5h9BA>*j*G9$e~z`!l~W;y4>H&-(e2Of@|>~+NG zLvA_<#P7a(wfpSZoyE$v3CLl@HNC2{DWyzGJ+>=2I{~&?^$r;LM5}U>f!ckpz5T!Y zS&=~)pGWp6wZr6TNkmfgQJfA6FqPlW;NC;AdxHuzLyf_2H_&gi1Z7aFr*T}T6mZ?Lse_CR^n zsWO&bUFxg>Kww?tXHd%ZQhjpvE!%5;`s2uUV!NRcgeh!bZZ(ro_zA3C`#6)#u0E~5IMJly5&zI1ba1MX-B%C`1!hrL9a+y%r3Kf15 z8qBg9zfC|JUPD9-)-qi-Yp5{Lb)A;$ur~vHKrBwMyuP>qP_h_}9b$pQ{`~UC07;CQ zUbbh*(|uQdxo`>xQ@ zNS8Dgm>*!aUheuznf&n#-DZUmK}a;?L9K0eGk168T_VU1M#}7|9t^XbvHi_q|C&xT zhR?|xB=aq6vF&&b9W99m#C0tr>m%p7<4xjFN!S+E2+~bdUqJLZgSjARMMrLpdeQ}W z^qZ<3MI7y_Z~Gdd+iNIiT@FYF8|B--f?IaI8#EgED#_ps9h8z?SD-e@p$MRJ^aF$Z zxP+W|dFUO68NN$9HRuJ|)nk?{)lkv5h;KpD6KLEcErXe%-Q@G_I9bPxPuZ%L{4god z-u@}v#ibX>_ab;lL$*3?MC3fnuj0$-9HhvzbQZTwDb+I+hk-N<)tqp82>pbS(kVW?L<75KEK!U^`n$~mJn*+zb;S|;=G+5SQPMg;`hneE~ zxwJu{g{v@4mo5(K$R=LGy!XQ*Ez4QL#Heaw^nA1GONOnN%t3^HOlSr0r$;ZAO?JmY zi4v&njyISSW@4dLNQ+{2V_Va2$VVfsL%la71*rf29w(uuoq0n&&o-64lJ912Zbrip01@KRx>6;iDtS5RQyUhEbev&rj`o92ChCz`hpoJYKYkmo_8WS^CZ{XJ4O( zMN9)&Fl{@WM2H8|81Y7lQP*|!^|@qp3M!7?1-J!>t$&7mOPF8RXqRFNxSJ2EK5<@V zdSnillf0fSM|=*DPe@Y7IoDW&VC&>R9!j;tUaIbsLwz1!UzUSjku;|hHV#I7SeSTd zjGC^r#Fj6WoEl`P&C58BjQ{<`=jUfWMJ}hL3TobRUUY6DW zS@bcQpm8w+x*#f=Z3$|WIcT)EPVij2XA?C7rsel-GQ7qZ|G900+c$>V@(#|xsU#lJYphS`1*0Sy@RSeDYzgBDh9m3 z`I_)NzIyfUpbuxq=^=7kVg=qc@FKw1|%IFoMCaHPV}lb`Fk+R_xD=4I+~jE zpcEZhm4gpMy}F%f9lwoc>DZ;j2oZJs(BvG-Rx2QrrpN)fbaFp-4gvbmj2bp~k6;wc z&oLV9ora0SoDXoY8Q+Fb=W0zj7@nv}N>Ki92?dBr%%RT>EpPg{ZJ*>M9#u8ExTH+0 zI-dt_?oP z09Qi{4BKE(th){)x=pJhN;CU<5X-N+FZ$7-OF%B@0XP0&#)!w}cq{ zmER!LNfy-UfUJA>Fy2IYp z9X>>LN4={%dWhF{nwX({8AIIG@byMWCsY>orJ;rHRSfsqiy6my`WX+_9P{a zc6H`zHv=~-ZJ<3*~9LP~tD4n=+8@QKxKp>8iLJS0=}8NK2=;>kK}Uz^(_tNN?nI>#;> zEPRNJLz4d%iOb9*ZR11K@N$`7m*QYy1FB|lRH4fxGiQ?P++GOheU-_~Nt~j59bmgK zsY7lgdU2B_;Ih3$R3l38%+oAdR~M?D49)a^{6}>lzjbba&8fyF&8H2(e%Hx|;#s?q zL+P`(2XwT1I)7(%Q>ZsMjU0SDhXf5Gex3RfvJz)M?J@5MHc!UMwf7hBhBd&bwH0_) zb(8FU^;&g$!cx3Ut>JJzw+#G{5ntNseV!(4Oc2CFZO}ROtQS@>MFxNuK%yiXl*uB+ z&XC(^s)iWW97YumLSr%7Xe{WsaOc4|sSn0z^TFUoJjiHZP9`1|C;RWxN$!n?TR)>5 zxEW93(N}oNJcUPHfG~ZQ%RE9AhJvx_13#oK;Aen{OG}7xr^|{RuYk;sC-H^9J!*dw zHROxePtTs7Jr6a&@3gF6Yl#39a(V?$2(=Xai;nuj8}I$=u)R$eyb}X++{E?KmvdL0 z(Jm8#1rhkZM$YAW>6k9lm;lpEeWAtNJmx;n>*W_{yj=$P+o)f3`?vZ<^5bk=iPX5R z2pQhq9wEb9ItT6wI3UZ0^r&fsKZ9>f>#M`2W8|Na5T%G!^;+_CEFk#aTQ1dBnXcoa zskFDq`>|9#(AntIqFR(;nwe^`ur6t*m~lP^nf1vWk(Ao8Gfsk@1@@KU@9ILl*5g05 zLul;-kcwSVzT)Cr~j6z~Sf-2yO6*a_owX_T`-Zesyd^f4@= zo{$z7I4E6|DaEm`myKN|P%+$q0ralK(jvKz09JJ2e^~aHAWIAH+b}hVY_21xB@SfP z$}F3Plv;oVLkuvPROl5ZA_mV_UuKT8{`6#|j;Sa6K|WF|Y5;7exw}xgw6R?|Tc}yR zTdjgcBl2#lExYs{^{nTqjdq0Uz#HyW1#?*|qpfwA)bGUhYf3gLWqqr-&bunXJMLBu zFJ4XDBVMw}DqoXR0yFp#08bX?#{)1RjgqUHU-KC8%w$#+_8_U@n+ENftcy6hyiy0~ zD>S2r(Z`y9l9@{dMRc95#AmNunS5T66rDXz2nm|%ta^^{;)zjq}s6gnIvjo;N0+K}x0pV5X)g20{4Xrx`q|Klb{Y2pHSOS6vJ=&sN1TiGndT-+?q@Zy2zfKFRfJ1;aq2m(I`z!RB^Zx3 z!#}pWX=D1jib518_wo>RQLlI~q#CIUBaj+AMeTGff9yk_{26g`k^%Zb)wP84z$f^x z;e9=(Gs7V3l5H)OS&r@8-$RPG!;?)pqx(=ubTdd_O9p8p#kJF+#ihx#$af%#DGZ~l z1@!F`pl{GbC|%>RleE$TsMVGO@UP;8_>+(&>MEimXAtD!fs8jEzly6w8I33(E@dOy z-Msb$@!ATf*vMrwXY|=uZ%m{C<$#gslPCGaaFL3a{>tGGv3ScnD6Sf5l-Hq2#9$mN(I5e34|!^fJE^1~_fdE{!0k6O)^X;uMl)+J@?Wbuoy32EO`2t#|qy zFc=namBUadt7xq`ZR>l1GTQ)0M@29Sy{_{L$W(a4%)-Y74SP*^(PAzlM-qd)P<3)a z>-kmd8W{0vMMp7)+kf*T2_yb2tTr56Ktr6gbxQgg89intAuza+f5=-$=yk#RgvrwK ztpOrGom^tHwHXu)BGfp+J<^+uK)ysuj~X_#eBcskpuaF}X)PsOuz&&s%5pe7X@LU2 z(I1-8t9A5(U4W~*a?_&`4$RgYd`i>~;k9X+&#G3X;Cl7-5J=x9e92FWMyRE53FLV5 z_!`!+;b9Zd_l*lbmKa}(q9Z>DZsq~O4}44P)0h+x?zd3`wW>tbv`E$3aI{V4mAHlk zsU=*BV}Bb}`Eq3#!Re<+mT@#ZIX>90V}8Rz!Mu0i6q8?%aVvlV?h%Ped{DC| ze5`-Kw0Qme>(rrejCVAhszO!53|(eedPvN;ES>e*6#-v9k03`&!e~1G)_xh zi`9mc4y2kDBYbK03Ao6%xZQhAGtio{U}*HK`HnOvKTq#T#UgUDuDyhPE+5!&;MQ?6 ziuuZ$$pg2s=E(uCJO{<0IDGixp@5+#wBZcTvU(XV0q5CvR zvJh*@pj~gX2UhB2k*Xn9tx|754Uf8E#VWKrh^{LpSpN|8%$LwcY$AUIq+bQho=$X1Pc)9nawDBKVN1y-fiNZXkHara-*!Z zo9jH+a&fbDb%%a^-PteR8#n3F@j;~K<#noBnxqT0gUk)}{l-n~HS!pM-+buzqqr(3 zI$`w=lhA|>^*tl(A; zAnZ_k4tAoEUc9#J3ScPQ1%{&0@{-4J9mW-6WL>tsCvM0rgMdu1Rk$)fR)LHJ7}_Mq z$i8L0GImmTJDoe!#%e$oL2CS!G*gUQ+*hH|!7>_pkZx8l98&b+$tBRosV#b$6l3+5 zcJD*#SrTTW!=KnWrsc(q;coH?`}gSfUqF}3{WYyxjHAf0Wa@fWYC@e=p!J*q`CU3Ue$Z+*<41*+Slg#wfDBuVqy(%`o06! z69qJ+u$oz7gHFrEWJa#6S4lPoyD9;un8{_bjy@ABjrzW?r@h?TQZ12W*xKb1AL=|X zJXZS_3J(uY59rYHH*qQUBF4)`K;_cGsZW$Sf&1tt;G*&}T{X^A+Hdh>iMw*C1J$c& zYZ9+ux863JD7Tu(X|qNLhljNQo+q`H71hKT7ZOp`vq=Q9;+61z4N^uY$VRRYu#B{!bBUU*ybLP*{&Yk8G1z@UE)VUvV&$sdX;F5rx# z2K1UE4zNuj$9t_Jy4*Cn?h2whc9A6OU9~RGh1q+A$~>;Ya)fuHIXa5yenu>Xn{gd% zh8?V?<)6f=vT?axV@!=F@ibYePYAs&b;ilM%`&)9wa?W`0O!OqU#Tq|+zQ)bo6oOZ z9w7{1ti{S}dNfXp^_-X$Nx~59{T{SPf{!S;@R}EA@9Qvqj$84LMKx3QlpFW^q==^% z;4de>nwIaceHJ5cXSx(h33{O6GXzs`fErUd5!&KxMLNuUWyFJ+7+dYc z*-2Vc!F`+4v98`nM{nkJhr&iru)|sdmuz{2@^+Omf*>=aQS&;iOw;zP&)VIW?L2^~ zNXZVE1Cy&1^jRc@$7n1PbourN0HhU>#?u>}O~}F1iP7vjqRKp9nv^)Bw{f#_bAL%} zKy62$DTB!d?i$gy;_?YOB+#eU5b#Z^*|v+6Y=dn_X?HRKeS>id5MPwG;hdWa)=0B` z(%+6rXF3{+2niW-qg{zE?|lddof=IHO?6D)>X{l=K<;aP?6O+mV7oQqZUo|u;E#Nq2582IPz$ib_j1j>Xci~0j0OM}`cSyZm4f;A$v+_xOtunts97iX_ z%BipcUOolS&65Cz6Mv9(YvtJq?YURp~MTrIF9TUG(X@80g2IsN>0AG%F?e z7cS7fST7A^^XuS&4z3t&w9@&M;6Tp-#!FHIaLI>e4Wq~E^n}{akE0=Y;XTr~x>7+d z$TBI;IZtBE%SH)jfsYq^Q#Mg!`&0%N0`VVw&=*&0!7mM{HHXZyHE}5@rf#jA{@@m9 z6Mnd^V1|{~bG2k=_XD?3Qju|h$}Sj<86CYAfos{Gjqofyf)W$!tU3SGhZ5EPWdqv} zo7Aeo;3>-C%)Cg{dzh3h^MWWf0^+!FG)uHq2$ULBI7d`IQ`YgMRrG{Htw%v|&aOpQJA7fUnhgz{AzX`$YYm$gOTQ0#sUa4b` zx*1|p^c$$tS^gkBcxK)-I&iU=XzMq5jkEKO0g1g`KKGt5E!?W>+g_R;Mw zaXvL2{+$p1VF-de`A0qO@#G;x9j!49K!o(j?(P?%@D>{ehc_cDGs7cQS)E!ZrJi7o-EZ9a2%!<*rAnv|Ks6)Bk+jAmPiGy?oJ>$T3wqrlkFZpHSBdO&JFcpY7#1B zey+9_@KJ3ENdbhhs8O<;47z#1nZHhPU|>4allDB+oXG6tpi7sK(PRkV&XLRwKKs8= z%f$=v6vlqoQQ+15WW062PH7BdI*MWc=rh7}@xN@h*KqqkeY6=Te*Y5!Cbbv`SuLsM zZM;PCML(FTO0*1S5 z7^{O|)n@>k;?meZ4)s zDDENK2r)q^PMo36IdQM=M3Z@u!d8$?@^_e-(oBHgIe;cn#&5CCQEhFpGEOpOfUT*$ z!~5~yH|D`yCO4b|b2K_Q4f5V=)0DnBKOF|XFOOiux5zNp0@F!u&+f@@VLT)EV67li zEJ!8Mk4Zu>MjUo@qG*wr`; zZ~wAJ>aB$0C~#ea>?%xyLb`m{`7BYT6#=HBB^<3BJQ1`{9Xrja)*00x^37_QH@13< zn8rPeL~{+vbPd>E5357sDY7(C_LV`zrLcs~^A+kWUKIJH8l#J4F^(l0wrPiDvqlm< z6u-uv_$jw|=Puu2_CS&T;Ra3T>QJZNUj@yXrEzo-7X?#F!>gXFuag|0mVPf_EIIeV z^$>v`4Pl{H4YiP}`K9K^lBX|?kT0oMU|ugA4zlshV7rFe_X+ig+Lu=)oj^4x)tX9vfT1NJnN}0_X++`? znYQHmW2Wl#oI^??DF0^5 zfbbRYMIw>`fGeEYo~1JcXo)9x+Nl>;MS2B&ehgWMYiPTXZq~d4x`Wlyn+YJu3bKL0 z(Qie;{fXa@l%=o3GDzVl-*fd=t1OPbR0{zd0rwvrvhpW=@aiQj^F|&JCoe7b&8@}q zy;?8}=YWa#zk2$o7Tp!?OJc7kv( z&gqAT=mpdf>;=^EAiV&pi|{z*%l8jdN10{~BZZEaa-9RA+XIc5sw+HVqOJ$&)x27U zd-Zv>oW%t}A|9w$P*<>5vaSc|RR(H>p9B(3R+puUO+R0CfE)`U-nG1U-GkpTnNb23n7S&)9R^A>mg$ zi?*flyF5LHnCCkB8J#*a^^XRsF9~ems?S%II$OXxQk4$fmp##vC-dZ(xO${Li7ZtR znPI}84oOezoP%4E21!o``Z(YxDcyDDQ~5x?k20s1IY4ovt*!b+Yk?Qr~^ zqB&{|qG_ehVBjy@+eErkHzlav+0qgz>cov|a3tj%VlUQDPMvdGoi zg*Ya(xiHsm(kgBmH@ou_u%q&olIqB>Dau;wa=yE zf4V*=(@qB|6GRDya)I|Mm_`Q<*HbjKK;zH|0X_!(Uj+3>ym6Z*u?}qP8Ui^R;RwZN z#>LJ1S)Aop(bgU`9oWRT2M-Luqb068Dnq|{&I2JjY&*sD=?)3HAVSArP+(yezIy!A zBs;V3L&m#%*i_p5sZrmW4&VOm4}*!99*;GY@~i?xIf4(qO3DfHhjw_>F|*G9RPkb+ zqG^{tTZf`)bYk+IkBnUOA})$Fp4FBBeZ61N!%<{q*pH61Cg3=kpyfw>4RcNje4pBy zs|6F38I>X)s8F5_3k<-cgcdT6%Blppp8>GfOn{ETBoa?pwt0>X zV5McuHvcLu2tGr^(btd8ACUvlPwOJDAU5=4TLvvb)@GR{c>xY+%@eFf9PY5YPK^ab z?Z14K;+~ORvSps!)}OZ~D!CIUohc4%p$V)L_#&-5{34%#BFw}{QUHn_tMt5^ZfUS| zIrnNX6prNQ`1Vv2zI1w5)&$EW;@c3i=<|?Bl9RsWS~6QG`42%I+_VAFo6;DupWR?Q z2o(VsU-p#SA;FJJf2Mlq@Z)?520O6Nnyb_Z^Okq?8&<#q6``a&=i^pw ztW-%)ScCr2Tpb9NiL{=Jo&Cw)=+W^W@E;HP{+$S}XyJO^w31}q0$p8mumf%rMgR?u zLm1~rJWOu8fR@@v_1z5i)c3%`VdEOWV=dHlQ{jha4`#MMXK;RRne|tdq4R zt>2190!R3c;SH%5`W+7NAHbsa{dV-7O~Uy8H+8a9ZPins(v&D+p4nC)Em}dB)fQ2W zLH}XdCrRV>FX4=xA+wq?F5WcL^V4&BGLId zCG*_K=1vmnu1LBZgyQtvQC*qPfk!++tjgl39Y~G~D}KQPRCY(LIu)Br7Qyg3wZO6j zkwCSpHE=}wSkUK5QN%^M6TO11qzuGYahk=<5g@~dR7wk%9{fDOL@r8yRF&UmMyrt&m}TgbCW^&}m_!ww z>l*h>kD1MEV$9hLcqL&8;AAc@<9D2c?-E>fn*I)OCRsA8sehfR<>(W=4WBu@tk@sJ zhG%J9KdId{a_=(!bkblBa^T;29Ds39bp)O4ve%BDHD$vPZ3b?bGZRa2J(t}5tuxLT zLhA@S{?q6a|JsPQ7$7=qX#tZ#{cugVEi~PXwGqSceVI?~64Ppt<@U%5XQOYPecu_f zDPl|W(>H;BohI8|1%uh&KdZj8nI?zDIQ()no=j?svI-{bw9))}dOCnnS$Zk+KG;s+ zC%q5xXKrEi-Tllf?k+L9yH1DOPd_3kQP%-jTY8K5CdbkLBu_y>`o%P!=dDgyH!XXS zPNzt2ltPGbtJFtJ^ytAZaTP1uVsfLYQY(?aEzSp%n2)TKC3l0TFn&~SFk~A6)CWPo z*207xADk^m0AC#)WBxe4B$H{wPpD1JMfpL0lvSu&1)wZAsc8}Zy8b$GE(UTZslKx2yWbze z7#pp5SX4pgU3nmJ)VOhxgL2MoI9(s=IHu^b=Bcw~zR2

        T}iff|W=p1;o5+8YEb#aJ7JbhCN|7wJqp z7(xrQ`u|U(@5)Nev3K7aI{dSp=#w4w19>o__+7>USu&XDc6)BNgjE=*SIh6E7|fcx z;L8}Yrj!|aqYP4FS%p4ZcY}Blsg{D)p$A6&<$N4GuU2Zsg3*Al&ki+d4j}|Nl*%e< zFu3UdqlzjmM+NqgwR)V9eq+%%ko;iqn+sW@76N|zTG@4AOQW>Qio|n z3V=cLqZ?IQ$jd?vo-y0K6FL2g2}aeFjxlaxm_Yx3p&hI7dY(Z-2a8wmEy3<^i=Jl) zBYIY;S*4m{>BW%T609hDYJL^N5nfkee{<6r#5qjokTgWq&d3>$Q%X%FQ{2|G-4_Tj zx&8jbHnfpcAMNH#8SO;|cw~f}LK(O9q+LIaMP}_f$A&-_3x#_;+rpKyT`6O$Smco! zJ2eMx45y^g;Y0%R^1d{$25nuF)G7BU|HYWGR_)L zY#LT6iACdC4D*XmSmU?JWL^{?_XvI+r@S)?aUSge59D-FMS%=jbCHeNg z8s;O71G@eDn+MkdVlxJQ;3zW6v`-h5U>bCl0_92?W9Y37>gf1tUI$z>GWgbpP*B5J zq_FukL{WM~>^5Sr6>+UyI5BV>sVl_iAQ=W_AmqosfhM%Vr*}mvc&Gy%;zJtcWC~I> z5Qc-vKG^PNi|PeQ2u9@e_!R>$GPi4^aRi#Uf`h6J^p))~I^biYFx|i1sp9T&#sm)m zcchOovGT&uq}VgA=8a=iB_<96MqFknRw>3_u(0mfHT%N>QH~17uwI;KrIgYPCq2|Kz(#g@kYgWi}~Kfft)rBj8XR}S_kcw9(1 zgesfn6|`l78}B%)c8mB1{yDv}h$K~34&1kT-KPZSGcdxDkWwq!@(ODl{>zV02 zxDW2|`G;a~8cxYw}0ZJAlmrq08uSPkXq#glX06np|>jMk^u{kKK=>Mqs8RIwUo3eFzOcu|xL{ z#2IE?%*zDZpq^032~{;sQ+5If)xB5v6}5@5JQRMBv$K&wz`oxXfn@J;ndRW%34zp8R{ebHtaa~ zfK0L45|b}DK(V=2td=j6`Hx*9Vk6a$F-EmT)un*~G%xEYe=Cw#G$TvtjH@3$OIB&A zEc>4ZIcKFm=$Is^2TQe@#cBas=4$|Jz+qnO{JAC#0}UIi55lpk6C@qRm*y89*d@uI)xA0|`6bJ%Ne$-=PIUQFDtU zaYE|)%uF|VN#-w9>$2z#T&ot*ix)58c7plTfU+yTD^1hryNR+IE}@cS`u#vCzS~<) zjKNYuTSW7of_r(_o)9y3@KIxQ!|l-?^-OHT{L{br8neUs49t-1@K>7j`l29Y)(wGp zOq-2&O&9tIG4&8`b;$$d(H0YiTo$cYpTCEd=d;h>H_=`#)Z0{>)%rc&jO)}aHJ9)~ zoa7^AW~)h!=j`;o`PN@5+a-(mM^HG;i<^d;F4HU@-(d3N?|q`V>S)P(W5$jld#TQ( z?Gmy;V?WQYUS&joKz}jG1yaU~V-eos_ z^drkDT}&GN#pTJ~;r{;W{odZu=#W&B|F{#%dlsS~W#lJ!2foyWW+EMUy$dl11i|S5 zXS3jRgWCf930Nt!6b!7vc7XE5i9&IAzwrgf2pdl^47pZAiDn8i&f}g{0VO+{L>Mgq8!HDB_WcVu;1WFt(Q^$jHUQolF@sZPZ#H7d{^L4|owpiba|)3r{{oPK;y_0yHDl*k zE@JbQKpu}^o5d6#rx~s9FT~y<+v8A`1DB7>i!l&Y-Tu)()Q;q^ zeM*!qGxT;D()fY(OgY~j*p;RQhutkW>^&a)3^h>8wz^7i#_-@YHCZ?7sJmH5zrN4= zxVtsS{U=Rv=cY`Q`3CzUtjg9b(^pdlG12l|+m>NZ9ynpg1B>wbhDZsifR{{6i21C4 z_rqQ$me@C%;s(Rxi2T(eir?3ainfev0=8`QOM%gRQREA>XSUmnDZhnW>mO)S3JRb< z%=T;3N7)#WX|8_jz*bY*oUNKjC1fAI*Eye13Fc- z$*_Rao;)|6nvF|sSU+C0AgnEX)?tHuc*V`0CTgo?BPQr6=$a6$@5M))RvW+>#9D+S z2yaGioG(^jY4%d=>X4X|92uPJXk|cp1<+hD4~-f@Y)TZHk_13b${+Vq(*T%`1>_9E zUM%b7gR;wzmoJGYa}UfqJUtpkkO_EnjQ?{?f1T)~S1TIIQ_ORvS40r1O~laZoO6># z$EUh#c;{|lyGZynt64ulLBc(*``1sucDK^pX4*ZoF;>#=NrL3(VBYKcoy9o4-i zHA-CjbQz8obHftc17EP|+S_rw?8CUYj|MjQrEsR-{u!J{Uz6tglW5P&bX|t@0HE`@ z$l%9w9cP!Ivsm0nhoplC!B}&C4R%=aPE+Aek_jlnU=Bly&~ADq$mjJ=9bd1Kc?!r7 zWzkL4Y5*vJtxtb`w(TVFg|aDavkV0B-6|mw@@RAtC0B7|=y~CjK8@g6U8N9%no zn`0Ash&az5uHN#Fji%Sa=vQ$8K`&j{&-3iEyjGKF8J(#Eets#lV>oZ$C>UKNF(k{2 z6ExIoGFHTE+pYYE45y@##ajjOTL`thzYmF*p$AZ zvN23L9-?->GM=E@}9$2^fdUr*x2N}q-if%n)1{FO~OPF=zXu6j^1Tn{Gc zG{AyPziz=#B>DRmSi9-60Jf+l0u4>|?d(Ncqanh9@vm)((?et)jzkMYPn^iPl`a}j z-&xec^DbTwu_ORj#3PX{UsoyC^JvR_Y-oMHu~}^(T#qTP=1jE(pPOZ;{7ohqHeV|M z+IVAw+!?vF4Ao1a9QyzBH@bpjpP@JW9KGR9aWVmxCnwBvFni|w$Jgih4<@DC+w&p| zuhcNb(X$-LM)K?OG9Hw5H?~IwhAseA(hf71V!~crOm!2(>4v}Bhg=rTkExy7`{eQd z8Tq@{rkRHi*384rnmH_>HRR#NCc);(59-OtNH>VHQo6~#FJ+v^af5vC16i*%? z4fl0kWK(^c?$2=Vq53o2d#LI6t6}JuVekHqPEVWrJAAPI4ma!XLw!`YKmLfsousUk zwuJ5~@#eZ0*vsP5+Vv~QS}4IxC1I2_5q(V4g6IavH$g6C{5cP29*2u|as@QeLb!DJ zHQ|U&9>vvqZo+sy%0}&G09;ilX9h1=*-4>#>UXY#i5Gmdn|e75p=gn^P_6K_nRH~y zL0Q^qVvM}Bi0UqarAX}2lgdg~jEg*;PU3PM_8_*2(<2Y%>5-wbF~`PbG!7)pqTBoH3tv_s8s(Ev?AvcKu`SzkrVWUV%n%O)lCBum)SY`zb8<@{7x zTdCBSXSLkIi>iBQU1e3l5NwfUW{G??Pp+;}3J*f}7V6{izVpK9rpwiRQ2);Bbo)LJ zu#JgdF7xZ9N^v)h}Stv1wW&om*{)>~z+*bm#mU&tKTHoXQ2?l$uYlN7J2PZd^^QgT6W>hrGCO z1dw#}%-)eMR`EpSh3Psw0TBFNO<^}eo1lbFAv>}dy0hSHHD(0eIM6L(TW)YUfZc_O zW`SP1j2&Lc!@Wz4GG}Vufw`tG?Chy|rLS$X)6{&Fiv&off)rS^6(%{{Mq;LR_%acd=BX9ntJvK;jh@9>roNt65D`o#mre2OjzFD^&Usm7g6G|n*?!%aU}5&_ zbvz&74mm0CyqULUTy1^x_@!FgDAoq1wEFI_E4Fi1npiJ_14lI**9#3xu?pM6Jpj(0 zo|43NP)7R=Vg~V87FN;T36TUf1a#C1@-kApak_qgnMPX&!$#fgmTL8FZpDr^cF+2U z!zQilmg@N~w|1$A-BkHooPU?;bShQ48`QCX9#+P#sbYsEu#ZoV2b<@sx$HCzsM398 zc%sy&e*<;zgK@^%ic802VnG%0K~wA@LfUn(Q3ff^{(q$<2ZOOnGpm901|&322HWzi zj4#q*$8^;fRSTeJSCK4$5pRXseD4=GTqQ9WFS?)~IC9v(Ne>h-BsBk6-7R5@_ROkY zRFat;(cbC-LYTdyAxnEe#ki<{ea+Ch5+;K#i<*p_C2b7T_*i*B_lKfe-1olwDdu^@($xL7ZdE70Y)Q|t0VP4^Pj|9)%Rim9tDc%7;@wTO#LfAc1^9%FBzpKq(_ z415i=^xb%5CvGxAkvIx4_^3{l^mdjuYTwauv~{`@!T&RH?Db9X@DKe*IvX2l-iXpx zy#)0kn*VBp9Q>@!yf)hL%5G8;pl#q5+_mElttAi)tt3f`{D^9wQjLbjihjw_#n|D@?8>Len`XsnBj1}kV1=D=I07B7=ePtS7417MMuX@V@O6*UVWGT$o z#L_hmJrfY_fm#-ZpJJ1Zhg*q865E!j_a9FQVQ-5y8~91|u{!1rg!5Wm(uIgLzu}&; zE`aMuaZKRcrGRTvvXy&ifWRpLTxbpo3lpDD!o7Be8a?(8}Nvj)^9f1Yj{<5z9 zN*Sw^Z;_UBM+UZr4q?yN8e<*uSn22bNp*BD?QeZxlm6f!xt@n8x@(h>GcqlENv(0A zyx1iNxP(%3cOq;(GhDcI_%KMmA#nI%CkVz<*40{cuaEcCE^&0E|8qQq=*sbaC`&Z3 z>a699T8p!fw()HasZqejB+_WBp6QB>M)vh7r6g27^}{tUHE5SO545zv3-wJG*i*+i;9YEmEQ0lv6Ejx!mZ2trp=?0rI%?@pq6 zw|aZ~d}}C06fjo3oJXOhjehagH9rq+OD*fa5G>Tcu$<8xparusr3?m63{BG6d|ew> zy4-}{caZxFy@tBWrzxs{#ntRnVhQLZf4cp@@ZGD=n&12@(nzXPygfgoL?wIv9Vf!0 z<7XBlGLG6%ERZBO<5&SuLnmw}22}KFV(N})cpE#sRHkd20cMSOB}IfhYkOd`f7R{? zBou$(QE-hk)0NM>zDesHp7dU=*E5$Ik8`&#F~^XJIfkdl#OD2Gnrme z(~BNQVt4yAg@7TMV+~?@6w0VA-FAa;m(zf!xXeJmgJ0G>iKndM$G)F&Pys?mk2vU2 ztKV8lX<@l&I0od5mPbiju7mY)xadKvyS*Tfk_e1CI|NCZX%8Y9g~gSAjgo@n%5KS8 zlB;cIBS|9(O@$pPUfHVi)dD$L;gOEqXZr=e!q4|$2O?QIkd-AD>rJW#(eU-=RsU|h z#GvjzQg!SL#!zd0G%JBwWgMq17LiGsRRn|j(ii_SqG;+_*qLlkk%k}M6Y%2Lla5yn zJvMdc6zoe~+LIJ3r&fIvzl-OwcB0S9d#DUf21+V3ZYwI0lob805f=P1S<+vJ(DH$+?GmGQ!@lXO`l zAf?NZ8tYtqn_OFKIvWXbMguGfEN5csIJ2JSIEFmU_ zYc!;y%V~`JqJQ1(QVWytG|twz>0CaG>k^~q?0HgM@l_u6Xo-{iRa#UUwJ!vmDXs$- zExRLH6*>yHLU^R%93rRn?^m&!M|2j_b%|Tux*BDVH8}3}->SioNvbnxJx=1G-&@-0 zv1U&M?7pqqCt*6IfJzfr<;gUqw9bEtLLKUe33{V&7Ef#W+Dz~8gz{&~N9d*HKP;*K zlhMhey~DRHrqudys}5qceP zyoN&OeXBv%=BJS-RW_rcl450e!C&E^&1EAqymPo64IiCKukX?XljPSqvaDLBDVD!W zw$&mm@`I#7}TsH_Y~R7<0UP9ijTlJz{t#=OFRVH!L8 zi$Rbwfy69!_2w%+SWeYjO|wSaVOfnA%yYF>s8_$cj4xH)>fm~rXmkXI4gAJ(EJ1K+ zqN&9geHuI+^7s<*hi;^UUx&Mv@OJ*pV{@W=#X7=i&d#*)H~7tVaB1j$mgKV{Ud_>J z^-VqM_tpeOnBW8?yJePcv^vt!tAT8K}r?A|B-ZN~SdZwrvt zy}rL799Ev*XY&eQehQvenmp`PeR+)#Y3k~L@inJ>r^6(GW{LC-xshY1C zH)2}IsbjDf#?99*Tz?R~q^`?sOh?~-4c0al!25+H7nNSa#u#6__ zD7@k%RgtUp_LtRYFP?0(M7!Eabfg51!0R+@l-nVFC-9D-zr?WAZSmvV&gzS+9?e&^XQ<=yA{s>oS(CxHjz5@p zhh=oh?u3W01m3j-kLNlXa*4Q<@yO60fQ;@61AT&xj-e#_x;-F>CgJqa?nmw&epgti zhtmMiD6l=+-oCM=>t9`6URQH3UC!fiN;-Y;68x?;sn~qQ`BFe)m}dw|rg{U$4n6-Udeas|`o1Q6*htZdA|KC<$OkD2cEOwu z>Tm?iLovY*M-ONxvhviMX}>JhAduXtBmd$@@@uP817Eq>3RP3GR1f+It7L$@*L4Yh<8oL`XMp8=>1D{m4I1 z%X9QMNUCv8>8}Ex*v<;UiOIFSR-{R{Wl1}gn$)NKoj}R~2p|4~|BjbSwE|7-PN|mk z1#CIy2SOUDdw0h-yZ8(&Q{co_cL|J&lL+0xHlF2$DMch8#A>?TK%x>tT?w-#s9`Vw91EqKc?yYG%X&e|ttn}J8 z4%~edy2c?fzOj+g=p!1Yh6yveeWHDDVC5`;5$aaX1RXlb5(Pq{J zZ6WIJI&iWbtJId_>PHXIevqbvG#fO)eSdHdU9lz?luz$UJ1B8wpc|l(-PN~)bcvp^ z@s(#$2x9|S=C=mdgylh>*VZ5#Y}afkGC43?-H=&E!y}aA5&36Wf|fYY{JO)V-QgVs zL*jJ{`>^|-+u7>@`4kqo^L5eIsUso+>RqVdCETw=D0fF)*V;VrvF_oM+vZ5-!fk3N zG7a~jsd274^Sf%pQvXncFad7vUW$H`IFM~vROD-hJ}y=eKTx-U0kf^PfNA0)FuI2I zMxBv`16h}imm>gr`;d-?^9??rUF6a??vw;$%5xGr}_2LN4)FtF;FGVt2(7DyY_L*n11V}`d`f2=3c=z852ta8h-$Kz_cr~gl;gJ zw||~kTO9PV3x(0Hc)F);LdgwD&U6XMzJFxkcwuug3BSaT9NsP!R?vn@4ghv3S;q#!tDT0|^{G@^Lv5;_Y9D^3>67lc;T7MMy7RfBkO zXjlm;Ds0zSor46s!BMo#uMBnj^xnl2xKfCLy){5H5K9Yf#gJfxB~NZcQFW}cZw!!LFR(|1ZK})`5;VTUb9l6vu(n6GNqYe zDGp3W%pHnhBU4+@(g`3=cB9c@-Mocew3H8;FpS*J~| zrFy;GJp)Foktd)53JnQ5Frbk+noV5d^mTP9# zy0*OjU(rsY6@6u@B$;4}#cMx8graOXK0J#d!z4{MdNqUN&ll@d% z=?+XN6-H>>*BeycyG6JEZaWF@d0wfxc1DZjQkx|mRLGR-H@RtDkF1|m-!2c*pzZ@F zg9(epgwR=P%dM_}1#?*?SGlqhGl=*uH85+4;DYF9hE(X?WRA)>;Qq((gnr?6*CJV= z#ui3EeRu^1;~GATVf3l0VPgjig_KR1R43RER310JDyKhe+rK`4_K;0i#nHvknHQ zMg6&doUP~np?GOCpCcU_DWToiEduZ*9tWqb=WD}D9(hPD5iE?97UYDl`zDt)(ktBl z%l)9+LZs)p&hUIm!>@Y0%LN0WH)0o=nwf(iK4^QHSP8UR;N6k4b0SYQFqL2rAr04T?&~By3?#V!EXd5;SlHIX*>|C8f!O^-w?q!u^etd5Vb`Qfz!%?Xqn@ z8~mY#80s4VB?C=DDqH-7^*M}J6K}!wfQgReIr)BFIObQ3o52^+gu4t3+oZ^^r@f*Z zHGrcxZ5DAcOKl=JCcieEOEnn<3_)gtPySNCb2cc3SVMCM_>1^?!C&MX^d79+vkC#o z4WxgJ=YERYHaIkO{*^wNXwh6?qNJZqbCh*v^mQ}J{F`8{vmIq&j;n=!LhTFjGzBKZ zciY|BYz9rO=L{{X8e8oMxalTsNnn{;k}a<(=J1hV8j+7U#{=qv2bJT-xE|ug;z^0j zRy9a7FO1M(f0?FH5aoHBwvm*FR})(id{n>r$)|@pg9$II&J=Lhfm(U zV!bkdD;8rc1@^{7?SQ3wBK~RZ>{4@O)VDfbZNEy?ny6j^N?)q2JOTfEujm`i@Gc^a z4%He2mHC7@<}}ZCqXP`9`@CiH4MM>*eOCKP-ZECaaoH*w@?|{&f?ueW`&+Gz`U|wWH!?j zEw!Nw(!nJ$#ET%01SmJugHLKY$v>mU4hK#dJJBclmy!F6T?$8`kzh~8-G>5P?5d-N zoY9D|*>NWGOIlRmt3VT~-p?&LCWxCEEThL!tbTE~I7Y97P1aOBckTzP|Mus2*hzrL zH*fc?qCF4R{HJuY^kk^{vlNuc1`DeW5bvY6d6}%{QL53#Nm_()c7~NB!0>}~4Y}Kp z^}NU-slc{_9N5boEDd6IwTfet`Lw!JFEl|D6bJQPx&U^HrLkxT%8$9zsxlrGW|Edd zJQp!Om_`00=w9W=jQE-6EKyBUFB*9eCKD#w<^*v^8*-_JE4ijV!`!VFCBj4V9=baO7Nh!ZlysY|U!U;Y+**^rJ8;y|a8J=DaNDpz%!T1+0Y%#WB7K-5*{DgWX zwWP7q<><4NTV6_RSq}Ft-0mC;9`4)JN_Ar*G+^+OO(~>Se2M}@OLQl#67`v#R~V|n zqsrE&pPql^tHg~CcIUvPr&G}ow^GMT1XmTTR=Vk}7D61&Od6&=YU2j2Ow~0@V0j#c zgK{!YRV(5m1>_+rRF+OyR6MHMer|5B9nF~c2LV{JwJr1^Ha}@Q5I=WloE>t>dhC=a z+&TW?y!?`agci#Z&C}uv(58e0dG#pzoGD1LuLii1s^TvdA2aE z`Al97BDkh$JSl)T2rQrVhi&PzMtsJw6xGCM4B7O-reNG=W_L0S4b1*JF9c^unqS8- zZa|@$!4XOCC&GKnnA2vRSiJx&g|J)DUn`Tj2nlSy4R_TzXLK+g&7Wen@;Qpd$zy=v z=$@y!K@?9w&0(xo;GHO+2N~n>Md$>3+#%6;^p1h7X!}&1RKGii8@^YA#Q(Aciq|fM z?lmJpzJL}{lTFh8;VA-c?*JF(i7jEnj+@}m)#hC-!OUitiQq)f#4s>uA`3fQsDZI(B~1^*hRJEVe*@+n=~jJ)dqyP$o{|*PMec)3PjTdN>9v$<%3}8 z9lt^_Z`5*$vpqnm5ELnjuTu3FpstNRQGFKlegBO-NkXX7`+zmWC%f}CY+O$W1dPjW zGIYFsI8j^&jfTJXBRvTb309U>1EZVzP#3GZC5PUxX>;fj7luZ1$Ptr6x~bzrVXPXz zRpUu)Yih$5+u~vsgyvfAbuD(tIE2v4#kZ(NA7uQ%ID(&+IS{hO>kR0xCQ(5=5c4=Q z+!SE#EWGS#_4%v~O^Vyd1~r<1qRs@RuUp7jORgUdD?xf_{DpWM>EEPKw!8^SLtp~| zsadeBtKL`D1fQpvr>wT&$t9#&EOhBG)I1PrmQ|F$Z3n`-VlBQ9EpBlyDgEWk_E))@ z=gNwj6ySOn;c2{zC~GyN@CCuQKQ)PTDW!a|vYky2((ENPkF9EhZ-?7Y8Iy_FL1U-Y zI+@H-Fhcs^RpDqiB1O$HK3Nqk2cV7*IYR6WeIfYrAd$+Zfno+6T|@>Vyah+;g0gN@ zlPyLaLkq2vFfL4fT>8PI7$e10&#W`p0djZ6S6po1--2_me2&|lQ;)p+Ee24fQ{y$Jq$q$SesToh~#o(jE^;k zPqG!hQ*sJUSb)iBJ(Nlq=E=}yMXJbVFO8KAkECn7iofv zZ6?+17P);&PvEGR&l;aZ>eyh-ka5>`9p zPP&`{hBC`{1z0YmK|6%Bg#xRd9Bb?o3eO6N$c{M?Z>c@uF&O_W%V`8=$+LMUHCY{I zaZ-ls+8rr^-_#1!TRnD>3+dSQ;vFg3zVfhGzK*K37B978drH8fL1?94Q5;pU?ZQFS zs=prElTB+*usDWFcZRF`3iPZv%as)~t3=Y3;8x;aAUo$WF;1R0)e=@bZBTVbf$9E5 zwL}X=YHK)W-S`sRkCs%Jju}%@%;A=(CcLQ^=Y4Tk>VObO=$p(RtlFPrpF1TipeCL^Sgl_L%By9AOyMtSPV8qWT79>GP4*ufyRHeSR7y)LAy6j7Sxw)~=DNpr@<+_?p-yoj@|bK}p9 zmbtyp2sr3Qs$JX-$p##)9*HScZCxHa8bm+1)+a6g5fL4?fA0fVILhWYS%eUIVb_wV z0XPw??94Qe@+qh?DEU@=o9A_t=u?Q^uC6NElmY0AJv~&qU#qZ_ z&E}$%zaEtuTEaISB2JxVn0oOQ#UD|Cq`ooXuFdKs!PoQ^itT<$8RzP}#{KWys(i8% zbVmpW1XY=qUoh;yV?D-)BXwkp z7pYx2UcsLc*MJ5fHtuj_v70QhQxo9f!4U#H4Rg?Ulz=ZPuTaWSNI||1%@B1qLu7_2 zN(hv2yhJUZKw`5@uKBU;fdpB`;JZ?1UZ5f!XF9jkNcX4@@8w4tx)n$@Qqyv+9s)AO z1z-Usg=m^Y}i`7+-=_T&}D;qU`7#|yySQYUsQ+>0mctlHzAxKPc99*L!bRXzlKw< zo;gtwZdEE%T^TQf&#XhFPLIjr0S)9EW?#lD*8hGJ4Np%`pgD)&3|MOj%IS$YOW>9m z0z<<*((gm<^Kd#N7a2c8$4~Et?ijqeleid@%9{dnop5Ms})-^F{5Sd!bi0LoLfg<^X~VBe}yQ-49o@}MCCyHO0jJq9Zd>2yHX z3DACPTX?(dR6BrH@6)XMb028`RM2JXL#$&b(Zx|&sf#%;Lz!)ub47qQ1gFA{(U!8S zx9bYd>reqT_2v*b+S5b+%#}zEWnO8o(yk|nEL09p5ZyNDqtz|jH;y^5DBNdmSmA&9 zNID5UU1WU9CTkIRez>IGAlh{Cd0b>_$4>^^ z?M_9mRKN((dC1W57pnEvz!P86uWdB8lvgj{KH0Ui%#2;UnnCHoP`|$ zRn$ARu_FPOg?> z6iAER9c?+FnF)eRII@nXU06rr31CZupaln~phk-2=5nnYWJe^qS0$m!_?IQ2y%r3ew@65hU`RR1jXF`4V-cg<*xM? z7GN9QI0@An-#1MzBzdLyo{A#BE@7Qso3D*hx|xYbOZ^~My)Vj$ZYO4h-U7@c> z`$w_foh}OWUrcVI#r!=q~30Ei)0ont9AW8+Isc*dtPceTB_C;WoWp% z=sI;ZaWTNOD*Zp?y={mkTe>Dh*SRx-ATuK3fIlYYj<@&Tc4k%X{La(1nw8ac&golK zr|zlKUETI=hS+;Y?j4n}Bld~dJF~KeWPZqig8mr%;U5J-9gsmpK}8&7K=h~AABrfV zFwWrM2k4B9-{5*b)>`jcvEpNA)|tM2yl_uf?ub}x#ftUuuJ?W3=c)7~vsQb-^JR)m zqJi|1pws_41x}h&Bh8XhEjQ4hAFC~Iii~<+sV{(^?=>hxi=z^n$Q6FUMry7bwLq$# zf6FhfgKf_*E*Sqt3!ldT0oGuRPQ(l=HXV)LyZ(~XDX!rp=B|^ID63~3YdC#MKRr)o zus1~)C@RMFR`{ou)>LgA?SxEPG^66&boW5j41xRq#S7fK@#b0-f2S#oKdWzA>w|#| z=^vD{a7aJ6UAD#c1*2{wp(aQ7%K-gvokx3nnqSS|0v3)(>dL|YdU)UTD|yx^srx$7 zX``~Y<5G8Y4x9-{_k$#v)*#f)+MsUBO1L9-Rllq8tVYIxxoeWBMF#GI^Xh+Rn42rP z&kN*nDV}V$0OQhzrcc1Q~ zQ~30Nt)AGfpsY(N^OZT_NyJgrNf9Gn05H9lhbGmKy-0KYXctE~oGy>PFWg!%%@}2p3-W~(aI`WlX3=ZQY4aRG>ZZ2>TyH2W*FU1 zAy4$|fRGR-Zx@Rg)rs8v^^K?urQn_9xh9O21o+riu_!Wh9s0PKHm*4lyvCr;X`b{M zMty4o7@1M}?YHj6j4+XTnzhz6t-|6)hCO-2-TGxL`%pXl>Fyc_#UzIB9XHde0$CT` z5)E6GOHuvxDcq@+>=!Xq--B-nGXB-HH||1VKcZ8KxEu6c`W#!Y#u}EO#~yN5#*^tc zOA}KwGNR}T9;+FHgmFz(yZ{{0ita1ZR?%jZM zE{BTQt_`*a#vh>v#$7#d7d@&Y<$R8>JW6JpX>8*32JjSsiW&rt_#FWvf+JXLu=6tg@F4>wE7ZTq z)|G(`1fYAt6NCZrDZ_F@C_Xm;A3P*{rOeVD?i<5|2=J%Sx@cZRfVHgLIrH2)3MCp` zm%v_FeO!Rw-GBP1I{_}hb^m4+r+JSoxU;S}c5@z_&Q&WV;i4EG*o0QC)`zCT`31h) zKq`?*h6_wy9n@ge3JUF963dRdQ5BFjhb-|~4#sE6mi1tdZ6+|e)Pfvw3DENH+OTk^ zKI8x3iVy~euaCi@Eedxr-<+|hvEMt6BHtoGyf+OkBMV_DZjh~afd5NwXD|`n5)#opwAEV{)3~p-+KJkn{JB3JtD!HJ|t6sKhTKPk+Ve>HNjBe8(D^D@{}`})}=#aXSsIY6!1=P1cE%l zG!eROF_*k_4h_J{91gQCUKM9WHkW81a-yZ&w-^%DUpo;#i?>?=2ndl=t$J~z{s`m*T z7YyX*@pvy99_^37#d*Rd{2)?4>f3)59qmW%;0aEQKtH-DKlQ%XYGZ{z3oC8k)~g?H zYTTz+t$XC~@fZNZdt>aS@uBUe6VXlTdZ3>g=aJ?PL!n@vQh_m7XG#H&QsJJG?P|W9 zvcloZB%6TKA&D+ZV8K~OpP@tdW7Fz)&QX^MOaiJJnUxOq)V7$x)ICQ2ue-m}27GPL zkk&EY7QN8{6D!|&)K zSKWCrs6kkHdzRd%q3O_&LV#F!1cTrGg-<#S$)5Xe57V)EBapf)pKiCWdU7eebkx}D zhzoZ|WVQ-mVhZk)sp_W0PZ@cjEsF0C?vgD#FR;h<>pU|gO$onY-MQ7y>>InO1_gDg z%6Hnqfi1S3LK_RQ z9$+5zGOTP9$nXT;7l@>U>7-cEG^ozj>LHe<8*5w;J_1%QfyCf^xmYa{YQr^QR{~zt zAqphCA(-h21xm_d*3=uTgURtJ97qn%2BWRX8#>S(B+E?54lWS~r+%klBhbSDJk+pe zfX5LGhNC(Jq&xiiZ*?P)N$SbtRH=$i-`C@Gv~6^)b7n2I__6h2Lq0 zx0|$~Xhj==ABB@0(2hA2)*wnYrda@$O-CPw(YYI*-YDXqUUNfD&x(rjmM2HUOvzOj-ZL%vq9__{UPH^N+#hi_@3%ITylSrRISk_CTAod$Kz|xDVaE zlVabN-SLk->O}?C$2_J8jZThllfBUKd#Q{DwRMq`AdS}~g8*IGGc#ZypBYdr*gxzO zXCWyi3}Lw(F&9`-T&1RP*+*TK)}J(0yAH2F)tV+OL#2|8I$=QKO%%xwb4lQb1hXvyAv%t*P$$M4g`S(F^=x&Ab2^nIp zU~(AMC){C+CF-azaZ-7@nfe)8O658ac^|Hp*!yeb_)X^t0$O+Ka4hr5Mb0!$25JP= z#>lT!|BZwhxIHyPb?HuGvO<<&cqWX#x?t^bi%gD}6~ru*!FiQv#^Gc+$r5zHy+PC& zLdK@h?*Vvd#%MN+ZbX5lB*(PRR9vt^%N)V5@P477HnDStSQCew(}jhhNS8s+&sz2Jkr{&WKPO^!O- zwpm(DV#=>iOqjY@6`6$uT8v6~0H5qd@83f&fL29xu(yY8B4>lTfI}Cr4dj7S z^(bX)7sw`67Vkm5iq47^FZ|%^A)JGzt&^P>od9Q;L)eL83!U=GeBtvs<8PI@pq1qgf@}wr$dxh+dEeM zsg}Fz6pr>f13A}NtT&sLvYVkWm=fX>64{%kcF}6h@dTs_#I!dQ0*R`<0!2WeUP6HGZM80I83HVe6{g%u9PgtrRs^Y8wgT zR+?T{wu;OeC(VB*qlpmZ8jl0~1bP^Y?EUtXVf%@^?jD~V=}0Xo+fvk3A^rO4_NzQ0+w^7S0YzvV3Wt!Y6+k`?7Nqb`XshHN!9|$rtR&nld+tk zR`ju7MtoP*;yl2;a{v3AHlATrT`)~qp@H-RrHRmx^DdTtbBj>7@p zhH`>iYOx02$CsCvYR*9ye60*}t+LxRj=CZIeH$Hi^RA}?Z7X*FKEuHx2db7AXr%lFj& z=d!T}1JdVPlpN1v$QEfYU32dBFaPd{hFS^?UFJBx`F@b2D7rdS%!n&_?4Mkzr^~Z=M%! zsfwD$>WksPKSUom_!dz9JvHZ-ZZt#vwJlho{@VA`HSCJF-|e>snnEZy5f5>~@Butv z-LX#4gPn*}#bmN*E8I4qZ0VpR`8A#I4=fmV1aP#jJ$}T&3@5>&S<=3qs1eWSC4>ik z-FDlJUQB{dBTdA)7TB;hxKQ0zl6SY-NL*xSv{^dodV;dZ+yp!bI$}qzkz>CHZ5(RU z{OM2pQ4{nM%gA|Ob{YFjP0TJ(ss|Sgdpcg1@K)*q*kwfYf|O3pn$fguB?sgY(zi={YJKgNBX!F%q5C zf8VzQ>=@P!wMnY~Io`pLDB*g4$5~uMu`sEfNNXvqi2?1ZV!F1#TMiOZBprP#IzBkw zcf{B6jn7{`dHvEkG8)4EPxtns)v}HQki3-^bXOC@`mDxTYhwAPdjq@=M31-hS2XD8 z6EAxIDipbQ(WXzD#h~n-LQze#gxSqJQSHkCpqIykhDf=FjJk2~VC4MM$N`E1V!0u9 zj*Qtx=yzJny|X(PWs}NtmOU=EW!-spSunp%7D@An_LECDrz{w=xWMEvRpE2Jy}S@% zJobLfl2Ee)*>YQD1L|H3g@iud+0%;vU5Fzm@C*bGo!JBqoyvAhApQf3`QWC6pKg>5 zu8|<+HqjFFS+?=PMHBEvCL~^}zc%~z+-|-*AZo0%oNm%!03CrCeBD7R_X8J-If-E> zH+lhLjXu=~RptAO$vUjueDUgbmO~yUN^u}-=S}Q}3(O*GNJ7jz8AeUXT?NbRu1KVNZci&``8Khr6+u#?^HrH<=J=djKF*d=j#P{?21_`}E(m7ZF#~6! zjJ9(vV&&-YWBeBm-QY#LrPpvsH`k?$!gAWn>p@y6GQ7kgn3$bC^|W<`Yff|7Vn<-4 zrOudM!3u(7aufka!OM6s@K!f(wk@?OXAN9iKU1*W)u+3=A{?Aluf_6xBbnMvQE~TJ#*% zs`^r{<=G`w2C8C#i5h9>*;frXUU94cx_mm!(ku1qM<)Y2IijNz{Z_{IL82;fwbJ5! zPXE*iObP3XIjGT@WEJlNTGjQmy_DCM`bT5|I!h4c%gf#U6Lo-mlb!JTv-1e_;%G;N zZ`kST?uB*cLurUMt_{BRAT~Jcuq>=AOy85|BxPt!)PZuHb=@o zibh*LpN7M$jllt+jQ;E*DkksLS*;!6N%utUtc(CaDL`Ta&$9Fcv1 zu2yM@ia%NW9vy1Hkq+NOovJojED7hOz(hTgCvFhqksDz}C+XOq&KKZn1qxiWa-w&@ zmqwE47m&z++1S7)m97bprcUO_qT_BR;D1po)LXqv7p8vg!ffA3(Qaw+0+Ds!~R;~BdDz}#=TiaUU7JvyUuk51|S#=hW2 zs+sV|e(N`l;>DulKf{F6r|k)+beA+*kF5?DGFe58W}6cO0A1ykcft_@+aLojXErn|Dr=K z1!!s|#EBHGEYKGA8H?fa1G7mw13RGr?8_onJExA$ezPIl==aqBrkA(q-&`e_qshiR z9}`v(Y6AANifH(%#>`ucTmh6Dj)ueKYQbJ~Hu^~m6FaU!c*M{5S_KstJuw%(6NQRs z&~DLO%B7ZNK?MLK)>1pn;;1$z$r_kGP?fe?ZQvCyaUlKY-|NcLgirPI<&$U6o`9H- z`BbDet41yA%`z`Xr7Wlg?2*PuEO}SaimDsgl=)3vXj`5#C`#p$N=#h#2IrOooA?C>?SNe4k{%K*o>8(Nbq@;+0YJx{D90k@}Z$2|@wING?QL zMUi$zZTe)B4VpdUv$K;H;MZ6+;wQxSv;(HakD_NR%gl2O%Q49`PLR-Hja_akU@nH+ zRR@%i=#z(BZq1CgSONsx@D3O@6Ec+4)SarOT%*USNka)kui~tk4Hn$ZYMlkok-L9b zVkj?An8a6z!dN%6h;SpgJpIYX+IsVghLz^iK)RgIH{B|;0X|15=@fF0Hu^)U;Lg>9 zqAkE5W&48|_#LPaH&X|%{FX^9Nj=$&-B5> zYSm%~dgU0kaljWi>q-t@ChJ8pBS}|=cuMh6^&Y$W41%Jj-)w{j3Y02Ysz;f7Q#ENR z5qB_4t8dVFW;d6~9n;xF0l8kII9h)jt=V7>TbJ|+{T=PYCfn#o#(ln+&SLmV<}S#W zHz3DwaLsRR3)hVGzC8@AAF~N1(H_Pld#0E!TK+jhSkN0 z|HNrYC%NIK8U@2C)INj_!K+VY2CFvHHqc z((#fEi8R5kk{8NcEQQ0h+Y-)QmmK}W!yUR}Wvm#R_LG<&T=nFht{z3>ms&9@b z-6=L^C%P^&KtO8?y^}viw#0vl7S>{uFzFm>+X`#v6mi#DTxtGC98_#WhtrI3!P5yP zS`~trSI9^N4v?hW-KU z_Claj&Nc=P-khT#Li)zA7HJdR*#_RJ=!o#|`jB~!=G0RWE#h#}4f({NSaQUg{aF1H zgcrC~L~!6@sQul4`#rgao)aYw%p>Dwlnzk>7QpWjU2vEfuhITK4xx=?-Ot6U~0Vkf4|ov1%P*ZyoX(Me7e~O z%IH4WQ~!Th|E@$zNrXF+lU1PGk)RKEo*k2-WR}e`jozsm5B9eHtU?{2Dbdr41NfF( zj|9(ITrGqn0W!4C&Kd;n{J6K5GZY|~U%LrH>=$c1>^0NKV*(lW-re6q&%#f0=(E|U z(H;dtYCZ*l+JbXWaRct0KfqGqKTvmFJc~w|W$@xByEjS$ifcLA?Nm@^yO6jo+ty|D;-LK)uMzToYmR^2!YzMK&}*1I%v_n`-47F zASMmz!IoGfA2ON5P3Ky>n8!JqY$u?YrzZV6HKEiHrBm#RHCn|ytprD^Z$+Iohow2c zrT4gkm$*F6a-Nq{b-XNjJKi!DKA`^GCe+o~xy&k;1u2_WIf1DFE$;}~CG`$4#T*r>Cn zEFp83nq(74I_yo4vjPX79>U;F9;g6IK@2Ic(f+=UiUP4B7>`bt>Z|Qf10kY;U%q|v z;#bixKZm2=8@TaT%D(yKIrxqF&*7Jxe6POx;4NigtE1B31?Ffg8~lgSVEE!$3I%ydbZ>BC-Z`=GZ?y)jm2Cfqg@PRR$=4 z@Ov6B)9CXA$uQL63)1R0RfvsYZveAQ-NK-RJqt>>`yHHRLg&4e8KFTN-ai+52&mqA z>r!ssZbNOF>vS?pr&lsoVw&!V#7Fuz{W1+N;HP6UQ?J7oX~1@}#i&26nR^o-dnKtZ zr@w#c&J2xd6MrzyikMeyQru!UzZ*wnezgCcFz0z&81tkb)jYK zJ^XWWxo#~4ZfGw8p(BK6 z%aD{E&?b2f+$YnGK6-zg>DUH<3Qft5+1OJg)N*V5v@O!q`K^H)#Hu9w+v#%?(l+cY-*2A=gRb*?I5|ED#J(@(}{2PY%fx-@Ji z*NGaf8SvS{u_EDTsRt^*41YiPx!U4H1os$75RVUSxasFOf`1{xO>3DJ0~Z-C$DURj zcw1{g6Zv+E^cpyY!GQyr_$-bit-g4+grMiTBrqdmM}~nXN7^QQL;knd1q{^atAy75 z?o_0Bl`>e=Io!c41}hw2tqL`YpEN93^|mo?IfhV2n>R6qHsw)O{H~=-gQD+4) zalYqBa!4W?_8hROF~kHgMD^Jq+Otf^^8uAdS4%t*?dt>oYQslZXyn*7k}~qmRW!OD z)FK=atE2#{7Mp^W)8Eg)ozkTI%?wzOt)=&gS`}574*-mjBd@gI3`^=`bJ6!sAPBPu zWYy?=RJSiD*=>;MY@b{dbi;6|3=187G_{*`7!R(3+un_nnfrNqIfN+Suf-H09IRXe z`KoDbwXk6b-8(TbpX0+X`C&eMuQpb1s%JUR@S#v~=-{<3v6Y%c$n8vOLS8#vBg ztavA{z|zLS)MPZN8z60ALk`cP3bLC>kW!s+Q819SE$|qKPlD-We5r#9S#msfFaqfU z+u0vL$+h9Z8t<{M--haFf{{d?IdOUBUxMtxfTzncU75Ex{5~DDXP@dvfB(0AZ=tNx z{eeBw61i>I|{fyLKq!-u?IA`?XWv zI7gJenHnzj-N3<@4o3ZXYid5?9$Yj(ee=v`qj}YfgQiwlR|js%wbgED{fVBM+-R8s z-5uL{;Z*bcruuuctxZGvar7Cv)JtHO2FIY6M6Mr`iQ^wbSz7`@;qJDV-zvra*Z=Yl zOL-5fU^nHu_s4xaH09mRrSmuqr8c(la2*rKdVF?*_=mgy{d>KH{?wrzi*7&E=xWAi zr+aL8+UHCLHl~I+!-2i+kBzrI5`vZ(T;#Yrmw)5fHDE51mhtX(xJqT6!D%WYo|LCqv6xa!fJ}Fj@zY9SlK1}8*k>yTEP3w4Kiy8TQ<@R|m_E!0dZ9m#O)=**y;zVK=CmeZ2m=%J z7Lwr*7i$xD@DXOXw1M+Eh+C(Hk0I;$$AGP37qT9Pl|7u?zi|<{%M3ssqqUB-O$}Ty zRaV)RvcKjmHM5mB4ZK|XTr6gXTPDgm3&>_Z-@eTC z{$6vTU*D+CxK(#-Uu;`atu94~2GL+}BmRH=kK$p!MhItM`*kWfNQ02vv1r}7dHhk4 z-7Z&<^8m63U%#g8H~ec}qAMhem)Zp0-`hLF4Tpk-GC%t(X!_?H^(JXvSv7`|(lRI$ z)Ha0&B9vF7g67xYfMl2n`kPBioMds(T?8{$;EQ192j1Cuw&^@eGI4Ls%N&2?mpT4* zzRbx-ewmYB=gXXaJU*pS+_df2+jQ4(>FEjqgFEjpizRdndewqDW z&&%A!ox&c{N?dA*`#~`G&`bCY~y41j0Ig2pe+1%T%}-dFcW@E$(wUWdRRTQ<7alHsK8sH zAKJs@*YcALxgY5QzukQSRDK!*o94g-J3NInsZm`QB-~L}Zxvxy7K4Jo6Ll})Nqo^F zRkb~)pF&vf6f;Zi{wxl%%aQ^Sw;{-xVVRqyg-Gl+&op>PAZVnzcl{w6UVZ+7-H@v3 z5I7MiO{6{2asF(zh&9r=L37nM1p?tRGV(r|XmO%R$)d?$hM+Uf+ZyPL6jBbTzQ5<%K#f=_hnU!B74#(i#U5QMK?C$^Dt;Q@ABSn8M%{1WF`}0+f2;^uf1}OiHz`%Y?UX zDb^_iTeo503zsFB6qm&m!j)4vZIm2!Hk@U&lCtotlqMG!5cyD89r&arumjt{%q6Qa zWmr}pormvb77Gzy@J4W}1|x$^+2A^=PQqH~fEf~LI6$uKfL8)FzL44hy(>t%bs5=T zSC2VM>PB$SRenh@745r zgHqYgUyvNmjxUL1^@yr9>L+wcX-fg!?&9m}zNF>k*3+u1t8x7-eH0}qb6`MO!gp75OH~wz z4{o8L>@gO^%J#@%V_B-XsI>;YuWrU)S!DQ48ooYv8AH&?nADasS;(Me1q38 zv}IVLYxZ}_F|i$KU8^6t9G?_gC+iR;floBnGtP$+eS&ML)(;Pf@cm)vhj8qsnbF!I zX6_l#3s6}1%$)DZS-pP{Q98x=>;Qr8cmLL(K>4=&i@iR7{NoNqC_rfz2{p|dm0o<0;ucva;aOxk&wWD_`_Cy^>N&58CxHb4(G zC}sET&>#?>(@1dP_wu_29-|6ncH{6Z(#t-T&C}nqV{GIPA^oZ|2 zw5!Iud;8z{t^z^cy@Q8#)&B0@!FRr^z+&G!d}vo4?Cu?Y=ez3Yp}lnUo$sRKhj!8N zcfN~G9@<4G-}x>&eP|b*e&@UB?4ezB_FeCy@!kWwX#AbGzQ+$WyvN^pt9$%VgM0j) zx37XUAC^7(bfs)+5%;=whV-FthY0?>qcBShU@X$)noQlMJO2G zk-zB%Y27@|np~K=CzR8yMfP&Zm52c-kMTys1B`lLONuCFUZfwAoCpfsj8PHX@?zGg1isLpvW z*{!PefJhLCDgp0~XS0-J^pphEz~Fwcr*0lDMg-qkKzhF;fHiU@t{mWj`5;WaZuakM1SMf)N@-$jep7DoWsDY z3;Ifg(@=kZ_T)MJGT*3&o~VBThorjj`ZM~S5^3=&L)us$)S<-THx+C+@@)fYSPg=i z7Bb@Iya!jI78FTs32N%;GMNPF9}H8TKWb_`s%gojBo=$@d}*Jvbselv)1!XO>h7*E zyFJXwTW;pCM8WzUmk?@Ht&H1fQsf()08il`2Biaw4&#lWDX1w7v>K4g z36LVHqxQ8B^xavaz7YtWt}R&zTmin3Mgrsx@?-xE@BYggZ%EB9Zso55=ict#X>@+^ zG)&Ii2m}r6I*s^1$(60%itZ2=hak_w6AeU14WJga_Q!ZYwJG+*y_?COD2r#XmcOl2%_+s&O06_@ zH_-t^PWKN!k`_xlpUnS&OMpZT+a9w;HS8w**0V>bd)82!{^LC3-g=ZUn%d80qOV(M$aT&f|sPck`(^s1`;#5k!FQc9lg0! zyPmR^h~{Dk2wGywUdnF8VKm9r5h8iAR12Exk!nw3%nCTA?yB~r%lN&?5>($>W@#04 z;DDE)YfjSEP84T1@onWVJE)Bd>4O7$2pnmPk3m8$Js}TdoR&oa!&~H2+8XX!L)?Mz z=LGWLDtN03zf>g)x+%6O3U6*H>>dobEqv7CDUe_WZA121)TwaIAknPUPeAJiPJvar zTBXXGQga*ijdGZT;73t2Uo`z5e79cHf0GEQh378FOpP70gF-NB0JzQ%?b(#BQ(gY6 z^DoY$nLg)s6N>8(aQCxrY1w&FWW^l!{>vnWWd>4cfZo39BF~A}MnvKnGpv#T1*i3j zv?5O(L+`AQao34axk9QSIR@DvN1=690J{AK;Pb~~^z>KjUf*_r{s{UGN$+5rRzSo8 z9;ZfN&_WfWi63Kh|3$;ArP0}D#g7z|O!>ODl53qVjfFH91{vl=wj@An)?8JwAtS=i z>&_V`1QGb=uzu(TSnVoUKnpGD-Jf;Hw>~q>YQ*}9{9vG#O=p)TfxWSA;N4fhB{`KT?X4RZ*^F-j+QN%XmR*lG3ZqgjUo+J%+{;0#8#R+uTb+UUB+t9S$QuF8BglRZ}X)O^gAE)e`RiKk5`s2PcjL>&%IG+Kllyl@lJm0YVT$GQM{7uRl!vzqI%&{ta_XM)6flfmvi_3pt+FV zOo2~9>YTayX2e{gN-6MQ2gWJ=_{H0cucGR<{i^FBt$&j7+1q2USR@H>;3E^C zwrbzvk6`kpb4?0QOWoVWEwD%ERo2gpRI528*zK*Yd_j%)Ps<{ZX9-pXIP2};2^0T; z38kfKB=HTZrf`-i_@i{_7rg>;ekFQ?c2NDHF=~>OdGwVk2?-$Ag~1!3?gvDEpbFew zm`z1}VEK7&1|#ol((^xb``XSjJW9YJI$p=tcmY8`$wDDcz}~1Qc^LhyQ5*YYXGNqmmhpl4<`~gRrFU zL2s6pgrz!Eop&r#b_tezPCXzdPsXGlHklail~ssEiruwn=H%$s_xvV8AZI0=ISV!E zrwD!+DbG=tcGA~ z^1Lh5=zE(0b|KfLj*MqLi`8D%-Vx_~)BU?5xx9=%Po@jC+P?uu zWb`sFZwID3rg0w6VmyVmHspftdrPu-_iam@@2cvj(N7A{og1EKYU-_H-4>0^3N?iM z+B%G-@1(fpeFjLDss;FSbw?HrAu3cRafa=<`z5KY7BHx-4xT3*uO*Cm^$-$Ua6_5& z)P&Tvzy#Z>7VYQhrvZQt@0xQHfAut(yP3At%S~w^3X-niWe`wDqCv2$5@V_LtwS@h zyH$XIBG&>pkfLHsHF&B9mw)TZH8ciXtn7}$7mgf!UoRU7i-8fBmQhp4(bjBk|LNm5 zk1dg0cQ~mmW}7Js2+f426jl(ZU9!fBn*(;S9z1%?C*#AtV}6@W6*VY^JLJdMczt8- zE3yMYRfi2?ssRha{t7kC7N3s5MWX0@7BF_7sp zYI6Rnl2UT|>XBb&D#HEUC3B25j$Kes0#90yEP*T_lgO=0Xm#;TAz|*&2!Rgr zD{drMGhM3NWrBdr*HftzOlFV*&b)9%KY2vL`GM*1M3e=e)=f;g=XwDNt<=Qvk(PA- zkgUxU#@inhSEPIS=#;phD)79|ZRD$K7#|<~C^R|Ht7yf_V3}TP$i^`$Bi#KhJT!qU z8Ia+AvjHx?a7cT(it}47a%OLaG5oS1$sc8_?L=SX)5o35jCoo@J)Ov*`XYdJ23yLy zzNu>Xnz{h#8l5C$=VL>uuo96Zh~%v{;9aUrG%ULn2^9Dt;yf=l05Nm+DKnO^O2!o2 z7}eM8);{NdsYd9`%s^-McQ9>N#JTYe05#mR8HjdKt5yHnSsVjvKGrJP(EuDMv$UFm zKGW*YjmMH zc2DjeQ*FEqxn8rAkL3d(qgS>41xqeC{(oIm3QY+ghM!1}U(+6bHK z!Fd+Kj>$;ZKl(@lCTkLZhUHsiT(qAH%1tgjA@G;y{-}w_G-mghP)kjST!XOV>SiPzLPkhtvoex)>zjh`3jWdoKaQhoytr?_Sf1Q)2>2!j zG|+XV=8UofK#z9dCAM6+sw=fuM4Sh0Z$VFuS*%P7o2TOfMh#yw3heq!s4HiXCE5h& zjPqXv6!%%LhEyx3eHa19MU~47eM$2q?>;EN<8Xoz3LQ z-n;~Pq1A~^ofyFv&6yib4X1@7&8{r~wN@Nm-lo7wS>zv*#scZ`HU+i|AyGNQ3UmYM z?RU7*6g;B(M%^{tJ^94vSH~Byo)J>z3UaRRgz$oba^1HSn&{WRPVyX#yd*jd(XR(F z!ks+qYGckR#RL3myBZhm(y`aIhC3+PA?-_3kcar$8yMN^=TcjwIGS=gF%z|0whLDG5Tc|nmAmSMnKJ8BIDjhyU2Xo1{V>Afn1pVhMuK;EE%j0GgP@P> z4b~Oe-izQfS{J*Zf7jb><#NEwTuxTrsC`1uR6+%LLAWkcJl_=ybs$M+;4NFC_6MAv zXCrm?L9;rcsL;QU_5cPy1!|R(0eRq;;>f!LL!b#oa>PJvIFJNA4EgBBrH=Y&cpgU~;7>*&yc7gp1NfAu$^?fdqkR{bFK>}O1Viw{H$(4cNSu|rf8q+CRiEAr+6Sg7>u@L z^d`aHj=@jMPx~yRA`#}T8@7gUBK}UA8Snx4?@>oG$^WV4?p@;US_Ywum5{~*!>85= zvGG7mZK*?X^t6mWz^a_P1vljolDr3@jFRYeQLZA8})7d3{StyBOq(r|E?O1vtrq~#I2RVnPe>!!0M0UogMJ}?hTlV zK>@ZIfc{g6vXm*Fnl3lFP6Lc6H3{KYdcXQ+1Bp3nI(6N|h-FrDA2V2RO#wt2T`d_= zrgkKa68-ospEC;|xXp&+40eI)iH>$&Wmg9vFnstt)%^LFCi zJYVgZQGgB%JdO%zIm*CxYgPj_oD-9m<*Pej~!)saJCsOrv@(JL7hA$kd(S3Qc`yuH5>=6 z=cm_W^Z8t*xqet62NJlnH5eGS9X82-^QcV+elE@@QU=}yFFlJPdZY|F;ltgJ^5Po9 zDg#efr!`~IW{Ct7oUuJa@dhEWOA30pj%H8QM=Q14UpS8IZGf$M?Y_`Xn2*X-v&{=N z@Kco#BF|%C^AZ-)Wbf7ra+GZPCct}!#-w;}HGt05GNEk@_LLZJgmIGAOS?I5zBPR9eNWx?C)FtzJ18Y zR%MNX;YYPV!cSiG!(s-){<`=!5U|#Vp{9dlBg2EuMpZq85hK(3*ZfQLHJBTadiBAq z_(2_6Eu5;1@F$p;CE}JhPk=7ae;H_vNg+cCPfsn@!?5iR7>7SB)=WDFu4!25yHB8t zbiRmOh7i4sTC4`9Fv`x z_C+*4Jla1F>izN{u4N-4jtQDp7y31ofNBU$-n;dqkB8RvIYjOY&J{Y90k)k7fN^U$ z+#;xaC_IclK9(NS7LI|4%3Y4YwT@xzqHoC>!a)wK5~cR)1xwo!H%rk2E4&=^a6JPL z*Ds`p>nCx(femth2c@er_{c?J#@(()DF0XS1`GIU5Ull4L! zLC|}wS0AqniFVWJtP0SW7!rJ6-mK9))jHUon|bha$b#Z);y5%O%ir0wT7a$EV{KLE#2#$;Ag;}?Xsg2E(eQJ(sq3g z2y7_uD{VSsn=5)8&ACe6&ml;9rCRQz#OrXFVBZNvU_l6Dr!58;m3mt`5xyZ;ny6h6U7tND_|b$nN3zM#!a74?0zZ}Ak-5; zf1!?iGqoG9VgAg3ZOCL~K|r?P8XM{G>>bABr#|oIt{We~H2DWK9WGm37KdVxd^{k0 z8aEp@IT(oCRk{X^IVfiYdFjQy4G6EK3?HSZTE}#eu9z3fA((A+!cn1ZmWx%u#hz7H ziYpsLfP)EQ`4AXa1M}gpOVhH1|onl8wiT2Qii8M7a(Pe z_4pf9q4dkqP_V}?@?5v7K}0=wSbIHy}I;40D5w60`r_fkBP|U7PIkN@QGtv zh3zH)mB8Bb%ycZpIIiJXpiB-p2*&fIYD|#9JEGz5z}on?aRS`q9H-MQ+tAMbNe<6u zu355H-N)G~eM$qKQt9SX;&G0$AeqCgN5S{aixer5J&g$BY1$_nLgVbe%`@H> zd6IARZ4GH2-D#13`cVzL>QNu(aRbV~4}R6R{l>>T(MezYDnltmKrS4UVfhBSWz=9; z*ml>jux%Jv(F5+{>f&G9aj%VqxR}>=tZQQ-9~I{suI28ZBfuUIYu3aeh;CDUlBX}< zMn4}rG7*6K@EBrvNK|-jCwh*!wPxki=BIhR2bn(ulGqchyd;oa(_vum%349bRg4Jf-La}$F)=5Zl zeXB=Y`OPNTu10!>tI}>LFKmn7si7IKlACpr@9J#ZS3o*<_rC@9?e5L`|F5J4UeQSU zXo;lgKGi*h5{~_F4mv3SbW$M!406s#!}}5ycn;T&-B^8Zbud!rgVEq|^kV{Iei{uf zlSzpO{L>wpjl=2sdNkL8DiaR->&u3YTW-%9DS%mNL-YO z|3(_B(mn$^&hMN<)(&~G-YZC_0`NgT+hkX9IdHK@leAnfYDg6Pm2%ZvU53Ih_>O%& zEV>Ka zS>rXG{nX4@h~IQT{wC|HT~AnBEk9(cm3wTgo-o@67HdzV*aEmAOXh0UCGnLq1&Vog zD_aQHFCqG|i_{UDrE^q81YIN6d8SU36%zk)+Mo}9F+;BEHEh&KQD#Vd6{CxHm+}X_ zx@qgbDIyFbqTQF{>}n~W03vmAE47aCxD*jd8&JdE1o@>TFY%qZ%A|w=n#@FCeg$Xb zn>bs4fPcJ;KYY+Br0SSGwQwh~pQr=j9KRY^uJy(64P5>jAJ~n~@fIW*8b}qIcN_MS zNoNtOtMKX#x41r95wUx>navX|)!-euLs4Br0dg1(Pj+Ah1_cWf+Od8{WPa~fRdLdX z>)a$YGUCVNaTHu6`WF~5*926BAuH(Q!T&Wc%3B`|I>n7v%^lA6a5e~C{&XzeqGo86 zTr`yEqB>rA)DH=+7^P*l4^z?-bH2`KMv*LHV~~XQa&=YTzCd~`ELpFwK~{e8y_ulj zHcT%zgiSZ6d$LuzcapP`9@7K5=agXJyALk-;N^oiYyNTA@ zsu5b6uQ8juIiJIhX*Jr@Y60I&jSt|NG13^;DQnq!YSNEx&ANRi3~7gm>ZfE@Kt1^; zxh^99d(4OXq@Uk`3&s=I{nMW(c*|MHNSNfif8Hr?K_b4 z2dAe9b~w|J;%yvGy8efGoWiAS>v9U0LT)B??#ZKlerWVDT~J)>V|4^v$9i+bnRKhK zaoiw=ycqOlKoFcOrz+KS`Gnk?rstVR!xaMiTx&U5=_j=SOar2GLNLl008*A%I2)w; zaho)8yJ}Ngb_?#)luS1AH+stY1L0+58fq0tyTNh_T3Wdnf4I31Ny^)c&tJf@`Rd~Q z+<@%n(R@Yv*|-DgKu5DaT*GO1Zb*7o85ap8FKQRPcUgCTA3;Qr6hYZgg4nySFQANP zX+hv_b{?3;8@?Be+zJcf) zut_;d~-7^9lwgz?iyA! zT`;GtYPp5bhTTSL-X-d3Y0g7pq0Ln1t>xbRK^xaxP2tn=`3KtAl_^!vX!oZ3m(z6t z740M2+{y7nR6C_uSc^)hvr&`yQks(z6Tpzd#By6^Y}BUfO>_vD-TlM+sB+dx=A2LZ z{Xc?>&o`TR#u5yM%gt=Qe3dmAIykNQ$oPYgO8wWOXC^s67sd1{x%DN@z)zUwAg(79A1}f0HPF$q8|$X_ z^6W3#bL<1n%okR0SssAlP;Z%cDubP@DLJ!>bFE;lKl~(mx5-nr%|0Pvlu%_RKBs2O zE)__pbCWMlWgub_N(m%a>eau;@q4;}fbb1!0WZ?zQeBx$-z`{2;y(!(^|ve}#2#z> zVj;uGMN;Ih{xCg732QRds*(OkX!!C2J5H9R)al%MFZ$Nau-dHT$61pFijEe%s>S5cQb&R~mzKr2LTFw)Swpj82J*;=dMN6o>x zRcW16J`QxI_PAXlNPx1&2`u3J-q=yc7mnMFt2O%Irvp}QTATPBW{uu$(0fzk9>{%v zmyKnqDUY|;bLl+}0dtx_W4Oj&pkCvAqaKfubgA5AnBc|RndVV&j$ydCKb|D&`~l1> zYtgSp;*2%`^nCJtacLMYYbR*t#L&S1wezJ)Kv*%Qcpz7}MsLv8XK*h@)*8CbBU=b| zoxSHbz3UwI2FEqAj&Zsnn|BL;8K0g%0-XcNyZ1Z71_|0~?nKchGY|L2Hr?+C4}5pG zTe2=dlGX0sY4qypc~6BP{Tk0gr|_jdh1bsC%)UR?Kp)5vgjZ{fzc-$~yJCH<)CnK| zC0qO)BB8<++mv$K8U84|h!s|LS0NjzZGbgy-Xf~KA5XTd8Agqxxg;-2B zE#61N{ZrMDA4WA|0M?e!4ppKA2y-j6G&#(!(9&8OpCb%+n>K~uKggv)U<-+E0l9i) z{Yi26Jf)I=<}?Q9=(;Q-_x&vb#^-5x?a@W(cM5Vew7e4EFTMb2NP*y)N*o@Ck_x9=}3t@r<_l=t5osU5glop>qNs(?c!H{*ouCUN6 zln#`Cc=k}0AvP<`YmI&m05~+^b-Tfizv0I3w6$LS1L+GL-lW|K-sGUCUl6W2atED0 zD#}vFo}qko5($x8a*@n+nf@_=Jy12S6R6o6oS22#@yP3oL z71~3))aOGZ^wm~OM7ME%l_Vw|KD1rBL}S*vM&XZLI|JbFf$+Q72?R5(cIZZWY04fW zl}0|_;OV*uL||K4>GXTKH+8!(G{#p@vrA`0 ze*?ieqEq8(HQu==sbYJN_w+W@U(azE^nbnXM`nt(nyQsmyuft-F z_xAQi_gF=0=pqhz&6rh1ZqDimXq;($p8c2FAS?l;#D{`ddMPv%3}hkI#KWy|EcLiq zwD_11;NU_mjLLHioHMNDEIdr4#qWbJLQE5%2>dIhA1 z$mAS&VlbboIq{>H-c}u)*ifzu`otbl?xyJWPiD>wB4~quGnjNQWl>1)S*==`kOjfAGaaumsliSz&#khS zb*4LNXUw#a7>^5RNOyj@CYjNdUl-YRfr1>nd<52h&1Bw)m4<5omVgw6kz0Se2VC8{ z8zF_hfzddrUTMB-uaf3~0E+a=4^+QPppf5mmw^e@k)b>Jscqf`k#>$~A5I&4+9)Zo zFi-QUJ6RU3kj~P;7l-L)-P|iF31s512^q^Yo^Ta{Eseeq7t5oxe zMj$p9lz7!ibs>7qS`Q0f{h$|-W;8^lu}>pp%>47;lbB?egNV!^X@UqFX$!$aCwaqy zdCj@4R&*W2+|FdQ6$m-oe2duvykUBfQnMibu~3E z;yj+kf(QWuOt+Y^c9ke2YIm~9u0T#hofqJOH`*d*CuydLstG(_0!@LM2lL#Rl5@tM;&K9ALD8LSefZ&}f$~&GwRp@iNX5Gkal0v<@NM@i8UtMmj8QW9bPyGt^%> zbxS;%6zfWruf>&%>2$Ml*$s3tKzG3lqm=`Lddnh{(O`G+gNw;=qt+Nde~-bUZnNaAt2Mgot!f1DgC zt3vh3%%#kaGu)0PL(11bi>gI&0~KB-@mlj+zdV1YKJh&MkmiXHvnWbs($Wg-8{g+@ z8GSk!2`S*kW?7Vw0<7$N%N#?y_Y@`4Tn<3ZZ0B$`>Gn+$?7FyAW%UrECYC)jad0bw z)iwh^LVz1LL=A{tsMfu??|SsJUWrbsM`d(lurhTCi1$QdZgJUGXIfPPH*2YI;b$>& z<#&{6-}q`6Jb>*EeTLE*_rCx}K)Juxww+l^I!t@|(lTqNGkY1oQ}53SOK;RC7m&1tye5kw^pkeGPr^oh zSe(wM%79msPtaLag2ZL2rt7>^n@}|=C|COKuho51&7pd8j3dWYI1!-_G?`9|NM7ql zTFA9fQ>iSGJWL!PLzFRCz^;`|S-P5w$Qm<-Ap2ShFH+I%tWvfKe1>nHq;wm|-uioE zsgBabLVnFE=%_TI?zFK!+s&pjI;?NXOTqevT!e4{EaF+j*C5Uaeh6Ic9U3iFRG1yg z<7%_2KI){Ekq@)ViyI9q*{smHp{d?5t1PJfORe9au-*d1+*YXYD5 z6(U;m_MwniIf#{^B%%pE-QZ3Y6c2}J&IvaQ9TsTy=A*6j;){`&7 ziJp*JFe$1GeAmdC~)@7mAeVbCyEIrx$qD|6~+Vv5G z7Eqj3YtFBDh)iTHfngYm{*N4uXb-pn?A22`9fRXTnWf{S)6?-bQj#@Na}brZ1ULX| z#wf(ypL@g^4ubPT4_z0vZplCVxD6yT=-h@-8#VMVkc077wFGFq$ohUOsQ3tz05jo* z{MA##1oXw;Hi!`u7HH3QFmNoJ;v=BHp%o55#7nHm}t_??U=%@7+ z^E-y>!<{qq1{6(I3kHonh`D;Gqi}()$!Zv5B?p~@IPy3oJat4%c?o189=jLs`j!nE z4LTAKz;uFO8}I&d8z@Oq>KH5zJHR?2Nw_WtD7-tNNFWh1K07+PCl*O&T6SZRnzx0I z&ZWb6rExQtj-_<$O``MfG%CNx4MIg!T4>xDNIs{7#53~Z4Sa?Jd(gMsXP$GrbE8Z3an2eG!4nKy{x2SkCw z58gO)^VIm{Q1e-;H5A4gqu;De6I}xQ+FiO0G9EFAoHKE0DO-F>t*0q0e{*%-jV@pb z7^+9fp${!@ddkT}8^#b~sMaIF7^DVnjJ$2G5e1 z2c*eaSg}(VK;5mgZG1K+0#?|&e+UVuYRv`#%M8V4kVtfGYD2(4S{aj*v2Dc_$Az59 zW%wLTW5CGS01G_b?Hw!Jxn=uw-+`6e>2bZ?t0^H*{!bHR<0; zf;{nEg3`js|NMS!&SZq)u(pKyk`oi-f{K&*?MjWr@!1L3+q{OEd@Qxa8~c-T{QdEP zo)L9ho!QztaIp273Q)Ju7w~f$b3_WpM_{K$2(I#Vt|UwdBphbGa?f~7J_`)4-u((^ zfm*pJ9_p^0Z;LXUMPH$x;=*xYH4AUK2REQ+T$h_B!EVXWf}s;}$nPo7NtEslnoy3X zMU$sXWo6Mm3-<^Tzi_}l@L)Ij3iG0bimkaDWWl|tWUf=VHi$*(?Kw*sc3N(uuCu+&_fBCDrE{J(S2)i zksyxy*2Pe?mv#4FYt`G^5YC0Y?+ndRo5e}=EXe_x^6XaKm9D)2bSRf0AMk8S<8iL`T$AajCgK~Ba(>`6yikm#liQ4or%~NW8|EWjKI4-fo z*VI0moW;SQWndeTTZd5caJCQ=&u`LY7MrblbqJB|M!+nghJmlo;h33WPcgq^x2rgM z5^;>(IE~qXD0gqqbzCM4_hrBkd5{SdQ~N~Fz#nR2oga+hZ!#E4+MtL(9Gb9{*rs?o zMdL*SBzk*_`PGH1*jWVEpJ+`I+_q9>s#q@MAnbZnna(<0z!2*cr? zZ`+N2`4trKE4zAffrC)S5M1g_nX6k?FGsS&hn7{BJ-+^8rgT0+dPW2U&zA|#9)mK| zASJvg6R%7wU5`%OT*i_xUnol4T~fS(jnrLD=>2$q<@frj1!dO?fHf^tf?n&oidd&f z&4f`sONGePaGhvg)eIC6BEtwB<7G60l~!B|yP;T_Dx8{Av**2)BtIJac)qxqS#WV*s z$;ui_W2c~W@VRZ2Ew!wqjOlzVO-q+P@>^GOZW3&UI#?0XyV|7$sm{Mk9CTuh{VR>0 zxaN#faxv=Ns^)}K+b(R+>MOz-%em6R zb!ADaWT=J0e&K-27L5@czdf6DD7YL0`3TM z832*=H|lξGyD4%JIv#%hm%yQcCkT(2&148!2FFu@F*ePxJ2ws)pT9QNLO-iM-` z$9ejJ#xH^i^qIeI;W$0gigfTC6zrEM8JFQT#c@%%7P5y-5yr7qz%w7OuG{SO96lli zd8F!dDmgX`VqtolrHECbC_%{Q30wpye}6}YG2#uUlSx%M6EvfY3HmY2}qtIs8p^lPBc&jlG@+_MGadiWx4lD(IPqpKUUc{a*q|t8Y z11JINs#-u1NPv!=t}v}=cY7a{PXgY?WkJsMJdt9CTB#c_7Aqf_;fL>BEp)mq&dcFM|?7%09t@W{U;!| zTWKthAE705Pl!`By#(@p$gffMYCEQtMUD`g87f~K5=`{uy~6X04% z1Nd1^jrF8D;1m4w%}UEP*z}uev0kUuA_A*2>lUsBL%bO}PK6*Ueg?rKfXJll1l-;L zB-LW^BL023$*0aiUcJ`kH_>5sy@iWOHH<1ag(dzq)sYURc~&k{fbfsKRHP+1HPUN+i0HlKD1#2 zPi`h^m}V%`lHBT)P5O8%@YJqJe*TfcZElOZi4yfC2qn^7(z1_-D_TFF$?r29=m)?!xE+jMblQjWgw=?~cTq zs#)-NeZsMKyVJ6EvoPG6l22EVcCPNO>v}dyl|OHgDG#91HOF=pfv`CGd>a7jNtP_p z>v>Q{Rk6GT_Rwgt$s-F@SFL}yS(5m%|275`qVbUWZrzh@LFspp;zZ$!&Vu<~0EZMe zeF|6S;b_^bXm#iAGFcl&jP9~$X*Jzcy$YvW`!{=h)Vtkq>y`~iOAs?JNl+X{rz1Fb z37ZzN#O;uu5R<+bbWRJNrj>$$zr^IYyT8y=!pJ4a#rt*eqz%s7L>k-7PYSnK-u_Rw z5#Le&x+wrP>9CR3M0w~Q$wS(Mu4PLGVbUz>+d%<(*Wa`b>Z3~3n4};UZDnG45~g;= zTTbV6zO$Ty7bQBTqR((!dJsQr)9h<_^`uzwPT3h+QwQZ;@=#&0!e?ziwT!GMbj1Ix z=cMeN@A2_yn|%j!+vpqAhhL3C*dKd>HP}+tJ|6Ey!_$37>~g#>LR;#(E(BWuopQRb z+tEFPL4dlE)&1j>Fw0J)VEYvDj%vmBY0rfVXz%g(EE=Aebh|zQR&`wDvSUve7$BU| zEQz(W`J4~=514e_Zi`S_(ZiI(v}t>Uap>{c5&G2c{)KS#8(}qRExPKCZ4a!zOHZ(v z#=z*4jU&=5QPv2iV4i-ucQokl_iDp&*3bXuqrV7!a0d)_kz{IMMb95!s8%K^Vxw?) zsotV%0}}yx$vdk9^2di%+IB)o^_N1@;xu7`Z8I zHjYOB&yujBcT%lrV!m0$m?X9-H}u0#OSPZGx2|LDwUZ9(kF6cfU6d-Qvs9UvkYHhV z;8iq_%PF2ZW;$57ED$0K@nHW5Yk>kNP%9*E)v~HA*h=+WsUNn{VuWw#;%7tz^|Sik8?`kQH~8Ji3r;_n%~aoKRi~Cq;yk*6QJ~99I23~LIOjodKY&my zoP?`JTSAu)5kIemmkGV4_&bW1FbG^A1E+?7P!%SX62_Y61+3}fL<#gN#=)|q7REvI z={w8F)Pkvg_wR*dbvS+?Wp4yf%v+w{ynp}W_wV1E`uE1~)#3<)lZzSem{P{0hYRPl zE!?IN%F@zFgJUMzS8r1$H~3QXq$uZrO`C6$D!63h1=iB$sK~i}{xf(U+SbH>e=UtC z;Gi{_ZLtHiKNSev-u=s;Xsl2r$VxPd&Pm$Suo?v4)VmILdnW6pa6X#>2@A1|v`fJp zs0~{Y;aTLR=(@-@wRm4WPs@*5A&gsn@eEkE)C7G&Ig``PL~X%psRnwN;WV9%w3ANi z#fE2lXHfz8kO5+7JU!x-YIq`fmXnbC9S!`nQZ@!R6qne^4&eO!tNTH(7z1zIzEWCc|t3yZ7Yea!swslbdyslQT-SS z_)0WjcYHJm1gFWZCsW|?7)I-LlMi@!vKRdzIzChXp?{r5KZ^EG3@?h>?$kI!LPpF6 zGpDC_5FoBOmK=`s7ZC2Vcgug|HvYPIq zaMB5R=?`PM(DvE2n-B>1s^Rn>1=8ti!B&KsfSO{FL5x(LVJGYl4ROXv4`u>k4ioQ8 zC~$V^n6!C>b09`;H&{!zTIy>X>G3Wk4f18fA#CFs0^ZRE zq@nYY2IbxYGj!&kwLjmf1poq*cw_$VA*B7>;UpO;-ja?xlbFKsH5wp}8M2`YO5m)e z;MtA>=&Zp^@y_d5A-8tyh5HIf{P8*%?w9K$uJoJ z@d=tQNEV430UOB#nwv_S+mJ4dqwh!i5?4zk+Yka!2TI77)|T_*=yeb$h^GpAO?w6( ze18yCx629ltUL~cGc#%@NUT~H+pvV;J^O}DP-h^$GIK=(Dy7Y5>hyEy-JDaLAd8sR z=AWg>4F}QjH$fpSLH`!wO9H%E(FrBz7Czx}hvU=3GxUgDDDxU(K*$lK-o|(c#;3c7 zXAv-lb3k*)APV)VhzrG;h{bw#H&XjqP1?tYs(#&#*Yv6oe5G^U$W4dR*HKoO?r7@D zjsv5i?^XLTEQ+IG{7ZB%-X%I&Yi4xyFw}sF=<0ifE0M`b+F0G<6G8<5p9>eRKOEfA zPImVK=Pw>*#(}(UhrB@SK{AsN1kZMlkD}*as730>8`#BE6^3X5vna@%Zgf@8aT1-+ z=Vda7MY#rJn-uE>=e}_e5r08#4<}WtmPr{-IT41Bj8O0!4X8gLb4VS6ayK2N*R%Wj zSp(vY_FLVm4Sn0*Z?K4~E`%-a1vqz7!qM2!*+ zwb_=*4Bx?0h;W0vp_OKW4Z*Ui;m>^wQF~|pp-#<4Kld%fz)3=p5iVoMXHs~>9d0BY zsHv_|do6btJ)_u&g%@&h{e+eSA?-IZ^mLElbUP|S;vs^u=^xpc^bcf2`bQ9ocIxg9 zNV_we7>o(X43BkoP9RkM>*$=l$0yP7_=Ngq&-BfS=$hk`K-YvL+d}~*LAv-+;{w)A z9MU^ny#-RFR}i}vobcfwcYGIyMriP&6k4~n+ z&KR(p2bW*#+W~OzntD@^;_FB*G9a#io5}>f*~bI^9X@z;X6QOOo1QwVxD;M1@HK@% zt>NZZChICe6mD!G7x>diLLk744nEi^kjBR(kCnWSfvu%#%NXo zwu?&?OPZ=a9}pqD;lPDmCJz(h%!X4sahWF3a!H$JZHhhxk#9_=v3BbgviN4p>O1TrzB;Su^x@Ba92!Hg65UH?

        B06#6T@gNFB8m2cqMx9K&o(O;BE3aCn-9LWI(>SkV-()Q$vF#{iu{_|gvVCk z29sVTqx-c39*u^Fdp+JAZ^F77UVWjazgqMRi+-qT!~}W0u;0)N8r#y*4cH>6OD(ha z>;?6t8UcMe0dInu9{BljCpD=9=C3FL;wjoqm{tHdrh>p{zq=jLf(7_Yli7MvF=maS zg1Y}7YuZ|QY_QmVV%D%RS$D#=xpn>nj4z-Rh0rsDkn#Fe*QrcLtfpOT^;7#GR26Y8z^o3^x({=x6mq zf#gwDt=b~>lUvdjoXc4kO44QU@!gZ@>sg>#zZO!o#c7XPOOA93hZ@2OrBi%s9UZ?#qiIV&<;v54C)U*TDLue@03_VUfjXBI763d#-r{Akal0 zpJp+mO$v*%y2X=?j{IPn%>al^Gqr88h+R5Q!MZ7vECJ(9a&8C0`-7=^4kuG`@h=Vp~-B|^@dfh)SNOrJcxh|b}I!#NcHF)s|| z7&TlvELh2xVs^Y7K^mg&>0hY-+kN?R_t~>LfJNW0`T5`(IZzLF_YQZ}a2;E?{8;lt zcv~UnmNczzIm>EBvsl%e?oX2+D z{m-?u{ThH|N|_H$EaVrMy>yernOd=*LP+sVDBM(^YJ?+dB;n!99+!b_j1$N4WBgvA zb7MGtn`#rc)T(MP99#ryfl#|(W8vbK`g@2tF~4$qeX%vPo+=v*v3fAr^^Q;PN$p9{&_)B-ZP8FR=85c= zQ3No#*@-%oHHxlV=)$m(cpDq5opmSskN1vn*};FIRQCTxy0^EWB@A!#g;{g7>+lU; zL$@JsNXGT`G@S#LW%Q+*odC+*tjytVo~m^fcdf_K&j>UOKH|Y`!Y+)w7;v&Zrxb;2 zw;4y@Rs&Q&t{36TU&Ezutzw{Gi_=-di=Xq=Z>@R^T1^Xv+1DEYg?$G1T);iwUN3B> zSL(1ZYv={O`t4MIcX1D1RAMwi$!CV4`r9B`>p8RXSby`V9tk~QPd`|3jaXDaudn6> z4@2=ZjeyNM+Dw(rx{ULA3|BMoM#M&%H0bu`s$B24@ezY_yPMsK89@0C87Vf|MWmtt z$ukI9GUSM5QDyNp98Fi0aHRe_J|3r8h}Ts}64m@T;EP6@B&kQk>HXl0>~bhBjW{0uS>fvv}Mh#DY=hx_>7J^1gz5&ZXPLjR8N ze=hOA3H}!^93J4mYmXgF>EDKQu%#~=l;NB#@N4)`lo zl?0?YpJ^u){!3~79^fZT61@bj^*2psup0i!KLW#8zfm2yX5PPA6<72bUZ_=d8o!H4 zoGPETl2_T(I(1G_hn4~QsSqEJK4t!ur*@&{r!uG1c?nEx?b&&4tsbKQwL-En@Tskm z_{zxbm=9puts4BMUTnL46%Bufksq5l2UpBTZqR4-VtY1d9ZzF5Kt6sSeH|*eXQRH^ zr12!a{rHXgy->kD8wJbjx6!7HK)HQCUb<2rKK=OLE>LdICN1MtT7LW%y{s48w~vxy z1(aSNzmq}*_i5DK-)zrV($W}?z3B7X3-hq$DP-})Qs4cvo z2M|h!U9-z~`*d@88E1tuAi&a0dFZm6l#cACj`zp6UQ{txQ6V9Vm^E zrn|rKs5xv@qe#KIr-G zuR0;puNnvdCFqMM=>P}tK&~yCY|Thwa%P|iDcfm(FhDHnfC2-ykHCd&km}i|dwbDp3G4hm{4>@-2}lBqg2chjVR@Zo z$u%;M!r5zH_TUYI;h#lMqC8QXd3i++`Z|fQ$bP$BC7%L$Y_h9m3kT5&ydQ#LX)cMVE?qP4gC`{l{$vhfa3(;Y}6-ECJ8klPj0Gk6YvV-n)_A}zfJTxzyI5#tt7gpWim^pGis|kXAo-!m`|G9sMr19nB99BFOGwN%KpB^7IyszDj*V_aKxXV*i;M-8-#V1W zY0 zTezotchAh}?&&kD=d!(LTh6M=s>)tfl{J}FYxNq=0wWva7h{88EK3H1^dc;SkyZ?!81F`nK_`9Sw@|Nv$-5OJsu8|Kw7;Y+;LQ$;a>oL83j@9bEUN}LVhKVbY0M>bIb zbLLVY`a-1g*~WQUACZ=qHpsOmDL&03x~+}o*imkCVqp(?`aOEm$&J*bkuzM%iF(uv zYBBz;5XV*UO&~a@CBUf?Lu~MOyi-GJBX*e_$9CEa9Q9xv)c0|>-8-=4^iCWslv5`z zQ~`Q2iu4m5d#Tzr#XCcLZcPv9D1h+n#K`* z-RjQ!M*Bt?yeC!K^6b@yWaUqUq&$3V`U-b3IJ`q2gTwtg8Q$eahOO^}h`fUu?BX|C zhtMTP@ye=pTM}%qdSHd?!fSSw=@mqj)LDwo0G>RkurYV#X8s&2$x7QaAjzn0(YoDB zuPXP2K!S8sMKW;{0TT*}8f~&=5@-oN7V}>u6HMecw+11EV0#!_;0KK*l$+?Nx6e2| z@fzHVJXymc)x2s#agOLJObzN5(`jewf2>l+OsDxK?Br3N?@xcwN=b8-sdspCGg%rv z&B$^$dJ7EN7o24d=^cJqYBVX?Ky}DTkR2h8Ita$6L?-5nxxK7b?{tLUyMhl{(-bAs zlFTH&auW2;rEKwp%`f}T<>|Ea%9XcAT*P)`G%KX4k=wt3d$w8%>vghhRA`n~0{^C= zenLdSw5^UrJRUW{O8HQ_MH5N2A=8|YqHLBEjoG-buh-t?@%^Db0;fr)ZwCJWDQ6%zBjG&~glcUKb)wxzgD$nY{|5KJ>)2ctJDK$(c1ChG})Op9K4|1z^T{SpIZb*v@InP99TtI=y zE%Q7S@ccSuAS4NK`VL70F|8g6_kvWCE=^@;fl$mF)dN>>y2^y>3^E@QjBhG>GO{HXyxUbv)10!)VS5l%z zi9Oro)N~Av%!#QQrD8%x-}@N??nA`>buJN@8vl<%u z_l_o^2J3xbi33QE2{1MFMkwO0390LBPAgWuOzL52+uQJ13#05WJ8gAh6mMu+Z z8lb>m3&?Gf<+5t-DBy2@w6!Zi{~k2&lvPRMhc=`{&%=zY^<*jM5q7IX^EUCaLWe%+ z9O#87ZAd2_0t2p}nYASz9}`|T1^>K>2HZwnj87BC{#0#lqe^mk?%s?0Jqa_&8oEuH($|)w9d8GD zE;N}ep|l@HorJ74I2tHsxCZ(~=-CWt(8jCLy#L`*{Ql~X!?b|35JwQm( z1F1~3V_lLQp}$Bp39GNLG6UwYfAZwPix&@|F08#Kjm3cL^gJ28aNa8e;DJeBTt)zT zlk^L;eSeEY1%*$40mnZ~;Ub${CO1M4E+}s`qs7nj4(1`38Y;t5ohvkM;?Z>kJ&d=& z9J@h@U+rm>qzLucT5=#OSDeTsO!xdbzg)QTg`Zxd<(g_*@Cob7TyqbXbGL`zi^LT#kn*I+anp;2IH!%#6ncx58w1Q+-5YHe(~G<{3L*ErfT6@H2! zV}^;=ql&uM>P6HZ%X*=9Mr1ogx8;-P4!hfOTDVg|msT#g+yDB5I<)1?L4&mrSv!el z$vEG|>J%QFj}Ai&O6?(0rrCL(t_s+TvulmxUqlb0*ez(Xzq9J|tfAQLaLf)%)VrP7 zsRoE<$|8#08W;Y?nKq9LPqj1iDCRvvIO^%3MJ4;7QctNJys*TudHavyaSI?i5Kt~> zfQ0vEFRD$ySDzEBIKM0y^b{|HCNrS~K_oYsN@Gm-TpPs=Z$8AVXH=uYraFJ+)%1#f zn|k2}{6g4A^v~)$gtqyqa3rtxKJ4{Q#MOUU92GPFR%}$U-W0n1f6LSo+dvFnSR~72!V%pvZFET8-t`A+MCr>?zQNtnL|7qpcOkNUDd$@zr)vdu-LRoHHiR+ zEv04Q$zW~!H4=j~-*kmiWr+sm_wJ_KAa==mZ%OfK?)^^cukWHn3025sF)|j5-@n^` zuytkVdYvYvy3iOEx$*r=w}oF6Dq=+EQTOO{3%c_r$%3f9 z86h>7YVHwC6yQH0#pT08Y^ed>k)e1rjR%Pyc?aGSnTYLuP7E&kt0Kx|APTEMu8|-F z8AH@s0UFFI1sQv%ZZQdBi*z+fW#+DPP{$Yw@i6hFsH7NSw9d)m? zPKi9bl#7rQMU$pMLnzBVzpCqT@mk!%4TCkPM2}1n>Ly z-@wShmuqNu`Y=NH$}_CS(xNZEOD`V1yN`jQ+FQ#91Lmr;qhYg}s;9Hkj;5${?D^~i$OI&^Dd+D zGXCD+z0J{v_oN*rW^4L|E&_ur$uFZ{@Yw0t`=#=0et~_`pXOw{hA5&P%r(lYF5M3y zv1o}|qY+kX9qKwgwckvQS`EE>*@pjeOY>YrFE3PFSr6SYDX@Yn}OP3?dIPe+=jM?>5$ZdVSOD zBs-Edo$Kt1klDi{BhzDEsAjtli%uwJpc}lQ6iQx%7%^lyr@IQMSBSvVG7HL(A=xTu zMVrfHiK1pjSO`k;>fvwQaZi(No~2uELg&DP5g5JwLs$VYZ1%*psdK$mDG$R4^|p*w zc)HJXW^ECcV6f;ju-rxcXSCZGII`qoJ4AkJ8&MH>BU1rcjWcpJY%mNl2Ga&CA6fP4 z010ouXqI5GJDZc#itjGN@Y+{swb!IhVP}qoohEXi0YFYpyz>lwl8?1d@;c~~go=#0 zOw(n9WPjzrrlb~WK6RCdsPSgs%z9aOnz;%m&6zoS&F{CF3nzl!k6y!FHQZZqJwaWB z7d#%GA|>Zwbd3An?N|6#Nf%2Lfw?dn@(yf>3EZ{*;V62MDi0?51OP)pP-P>_fN(&C z6=zaOCf2Rb)OJE6!a^Zaj6111U)bvEUO!m&7=wq=W&6hSj@B1TnU|n0o$Y4ZUa4{x zl0%hxvu2T@_@ldzYKvc&&ch{;r{i%rCYXiP!s|lmrU>oQu6|8gjsa3|Me`u|veu*E z>nn%B-#bvNsC@QS*nL~)Rbq#wTIM%s{{dT*S;~SBL7#vy{txcO=e1SFU|mPeCbvYZfrw(6mQ4FN@hMVXha zL}f1Cse;}TJ0D}U7rw~=pWlzhDdEXmLUaSnB1`1sHt(hkK`PH`1M%rhPb%aXjM)UY zG>#{iuzfAE>{2c31KcL&?r>zxax3dPjT|3->Y=rG45fr}{jA%}wJSRax!L#8{(gQa z_px2%*=|m+2m1IE!ZPjC_wB#d7z;5V$TBo- zK`SQU;K$#~mT|+Ip_QV>30W@`i4HUq0*^V_WA{k&4xmRgd28z!>V=(cVO#%v20$_h zTfA0l9ALSfDSq)JDSfd`;EUG?y!zRCYDfesy}p!?;8npidR$4{U4 zO1Wl6F9mbW@IZ{*x;I%hLHV$bysU22(Rr`g+u!}5#1Slrx${3P5Kejmb) zYv_kI!sF$&p=aJgxuffua{eD>vcbdvX$#Md(NB&}0uial2WE`OBf+x98lXXnrXYG* zn+h&5J~hY`_(#!4CjRWaVzlV1#C**w!BZyRjG$)YGR3{~65~7nPD|lhKft{g=6kQe z=|Sk}+zqHfzG2P%FUCSvyqn0Vm4V%eY2N*uC!==<<%i z)L)C){J{gPK`GpNqiZi5jpq|LAO&CGE)SyNfrFZ&t{^DB=V3jU>G5EU)rW*=|a1(nLGZq^A)#sE(boC{GaOWi#JuFE^#G_(4Zxwui@1 zduGce0G8EGOx{3Ztd@MsG+Is8xbNqT5BtZJhC{8Qb1>I;d!)*7O^N-iVFK3 zX#=?TFSqd``b@RrJwWpO1?0-s|B1ZvXav^aXsBylEk=xo5s0~P^ain{0dQ*-ItKs} z`q~EYYr{VD-`xwSb8j0Wlf2h!lqAbpRmyUgTpzh*Ng$!5@F`JX0Y_LLWy@U7s1h$w z$$jOJx<&ljTmwYB?9Dpl3!W4=C@#tR#Ml!_(gR(S<1JpgVBBV^jHLjWoSoAss z$@=7%MAXDQy$-S5=Z%q@XGI!vx_))O)_nOBquwjd01~($3 zsplM;gjy;;Ss}YOi(d@2yd+r`rt|Yn0dd+=$A%OG=>4z~`1Bmgfd>GB!t%C#%7M|u z3zr1b%(N{DX4NvXCQSJ+Z&?(pV#0wn)Jt3wOrv7W@Xbl0pTeAL@d02&lj%DXFq^v$> zoJaxvw9bzOP!cZ~L_g+B4d2TT#>Cn|zz7il8s48~3f5rWM#R+Z+)RKEp zEnj`5NA|*8f{j#z|B+X}b=OQWzMxR5#DBFEbYwRrl?=Q zFE9Mycui4#X>V$`F_mUQvI4Z5^qgo6{(uO5ufFiLm(Z#MA!q89*(P+2_t==H1UvCfD@a9~#;=mH$T>vnoK zni5L-G9LY>-nwXG0p9>=sNm|JmaW$4tTtUr@?C~7qc6FC$5kq$zMqHCE13s;k6@v* z{%QBP=c0quXV}Gcy4K8a$Lb@uMNY*bP}_0i>*h}L;)|WLfF8fB z$Uk^!I37Rw2^|ayhY&)-Je2)v?pX*TsbBZ%J7BG*fW`u~ z2~Fr*(bYX^VaL*7I)2l~I?}@Sr z7rsX0WCpvYgMg|g|M_1WA+A?dXj={H05qtv41-C&O8ToZW~xl10k^c;gz4Dx9Tmar zYX~*g0Lb$Pr}puiDWPEDpU49MlyH@>JHOY8cbHo0-e`?F^$%bt+HNILjME*mwYZJf zw!L96)e2;oRr3$jA3aAg?r~_JFHghm|G2-pri(hNOwqoH*H{ZP95~*6P4%Ty(p>j; zIMxA$=N+?GFdmq8t4c4o9xaK+3e-FOgF|%t2S*JRnF2~ueLI2bP4NWjn?9{28&=)GfcXDJn3;+A&qin7v8L|Vijj8^*p6G|B7 z4plZ=lZGxaTzXLKCcpw=Gxn4{?7cJcLV6em-Y_~J8R;MCVEC-gl_sL#c2d;qE{>R z@Zt$5k7ao$7A~xJCZ18;sbZ)2>1vl`CYJ8_=X`5%uY<}ZQQ^xD!GEak!uWU$W zKh#%GlB;+f&*MB*GnJFvRiq%nn_|= zMRcdr)g#f>h3@LL+f~&4^wGs@_pYNk>_vJIz(xz0QR>urMNOks12viTJRWy6H777q zt{uSwaAZ}hx~Hnv)GU9^zZMV9;4a5`Y)ZrgnyaQY_~;p2YjnNo=b_tgy2YzBpQmes zl-+KxfQXYy3rrv~F{K8vAekw*S~^d}@Vh#=#v$og2 z(Q1SELw}%2uIgD1=f%YmusgKf2Vf!0QUCcSS;Kz+b-Gd`pJw=n2teZZbUVs6Jau&| zK2sNbLTK$b$t5MIT~c=slfsrhwDeG&pE+ctDI$VyDVPHI8ONmbhu@KeAqHIVAyfyqA3$VJJ4k{!2u{35YOnqn8kGU9E}}wUv%V@& zg2T+p*?XInvtOfGIe%}na{g;HE2H-|E2CeZSs_Kb_c1Gj!(XFW8N9by8T=Z}%J99- z%JA1>R&M_|ddxrrR}jhnDg1YKm{tn_t)ows9RlJzlPI39ARDyJDWa?VBr$LHGRKze zCS?EgSl6z~l(s*oW_b)8tljMRYFMEt=D(sC5e&j^na)7_QA335Bg@7Qj z*c8;UV@>iRQ_eAl_O(z0#ZB@=S#OssEb`71ysKvk5ae$b_`L7}UB+!Dh^|I1eNEMW zxq`VL4}0%ED0TDEgUAdD1HE=WrVyf5wrH1lN63Nn#?$jl$HaUhD3bkEb#t|(Cc(y4 z&kyX~{^<74hV+6fd4Fm|g6q**E*7R1Am~aF89+pR`(ap25G07fjOiUgF+#)FT=^>k z$F$Z7F7Z#)i3Q&Q4Os5s_e6DFE!MwH;t6?tjjvUb<2YgK4sp!>Y=>bh807_U4nNM; zsBPj#S756zwiVAB+Q*y$UIZKbT%8;nnMF~{VIHI;hA(s*x+I&$PIiRFe#LYIjMUXR z5m|8#m->|X4gdrtGPA8GgL{QltRQNYLLL=K7Pp$-cv5Zn8O zL3&uA9`sg4oH0+CMoF%H$=1C=Y2S1hi z5y*b&2YsSmbPxx6al-CQlWc^6@$lQ^%z73c$qLSYP=VTGFy=Q+<553_H9Dt(6*W{Q z>W#{x8A?9;8UX}0(0#)-NNL7dM8qSQlPU1nEkwiwvNuTzbT4WX%*JVlBhp?;izMeN zk~s=i!;1eM0y~L8dU*HPBcUiswhcz-=l%0h^eCSrjj~9m2l1trUB4{0!RrY6rxMa~ z#@7*T4=WDqs^2(Yd&HlPtPc%4tSF7?e|L)u3ytj6tojn7{O4z4Gj1H^Y5)AJvN=#< zJwM;4xwHQHd8s*5oV|v;wxuQ5t>ddWUB;*f6K`YPEhr40kM`-dVp4AZ^oKtffb`=1 zQ38~!)8pJIKv(EBaFL%(+g4Ym{~drmy?B2$|G)Rs)kY^HyF!NKACy_OtX!+Dg+}(s z#?*8@J02Z;@TGPUBtsq(o`D{CgFAVb(&z$c_Y3-oF9qb3tGnwTg(7A8HzA5i9)qm84!F9a;JlP|S5JAD zm-o)FWbRp?=n=&$!Eg+#2@5uKy540w%(s(7LOl6ym-5rRO0DV|X?>4x!U)EADryIv zhn%ip8sQml^LU!TKW2HNwj^b4Ot514_Fo~)69lJH(x6wa*E}~)js8Y>h~+X+L{yZ> zU1R%W4_CTUcahH3Iyvd|8rOZgp1`lmQsi3l7()mN==)iJQukb6rcw#HhM*$5eM{DH z!;c)HLmq}1UkQ-x^rfX06Y}fgH5J)UlT|i>xZs3eKpGQ+Qk@EW6AmyvihuzBKraKD zlXfNe72rD6rCbWJ$9qC^0!8XQx7$LOgC9!f?eM73XOo3`@=2^4fQELL5yHH{$_1R%{AD`C}D5U8TIy0c^zThtI# zKL_K$7%QbPw3rS`n-JlZS;{nNZ~&{zaM79xiZ^SZYZ~vC(PcbNr*WL>3DQ)IL1uY` zZ#qW2xfNW+YSf~W=^|dcTD|7n)W@^)d{G%Lc50KZ35&$v@G1P?+>`vH7apbA9&Bb$ z0^oV7B?RxvDtwj}T%bV2LG)V?sqN@$c70Ua`gS}wK@S49 zh&#(bm~xS|7T*XdK`?y160TkkQNM&pD98(|jXLTMPxa#V)gT(i5)_1R%y_(jv%{6| z-a3nR(>zskccuqYAqVl5m4bks&VC6;_b#tN$OqB!c)(b4wo-{IP{^I&vbz0Kl%fDD zbOPl+VFOLQodhR@{I|Wh-jm?oUI35TDZEo(Wj8S#%0r_u1qH8eJl%sS#`#=|Dy&lU z!CLkErP_ja2r7pW7#)Y*da|(Rv71x0cZQpozSy^Ps(|^U=+SPzQ|n?dI@5(87+@;! zRL!$^vS{o$2kbYz0qE+}k8#l(p|?FaT5g@G1u$**JQV z!a;^Gm7{gp;)Ys?2aL0j^xl=*jhYJeOE~G&XUk2GI3J(Kk=kFjF?&9{?L33lSAb>@ zpK|;anrWys?I~3^(zlE7nX$UnLX5AnC|=IuJmbf%I$D!4J%u0Xu`Skz9AlL_1x{;uS7 z&}w(M*h8geyS2~yqb%zsI-6n3nX7oRTn|aprr}MbwS7Oi)-P9;YI+ksx8 z8Dai(cI6R{>0`m6O#ExEumx5qnV2!`z3yG+?n`NElgnfPGkVmZC9{H~ZNe)GZ1Kr= zFu6mz;_EC|)A4w>iGCY_kSQ!L_}aYDS-vH5c}>Vbc$9?Tk$7h4d4OwwQc6%Ni;cdD zOrjEfG4)D!=nF~r07tai9g8hAuh!qca3|r6X~>d#C&}m<8aY2q#3T?%QZ|*5eO~vuIaoa6?69wiQ1NHQ>@Ez+S6KUiTl@4;cT0{w>R(u7alaI_CyHdt6v zvGaH~crb1X)QPt5%GRnq25FZeNUbhxM%w0vpfv&=^-%2a-YXR~kEG_*GLhj@jP>8X z=kmo0_CF8HW^fzZlIE3-l%Lw|((uBbg2G0K753@f7-4CS9KaTW2jsd+7opwBC)+b?BR!0dW#K#K1cj?tM zv#NQm0KWgxfIn9se1rr6Vw18 zNS9Ymp|-|{;OFnNr*WRGzYj?N(C6>7C#y|k7$l6Y8rtpDRTt;-BYmqM@kn~*G1P;x z|7=OBLRzPU6`i6t+xXy};(7#F7x2Eo%gf<m(~UUJ!Y ztB~H4RQbTs7m(NPQLj_`637`bb1e%!7TGoIs~EhWBrURr=RjNyCz~E{uPnLcX8k?r zeT@C^nOelN#5q={SMWVC^k?kmzcox*;{JP@^Sv3@s28j~$SiWvhIVTG-@C{lIVP8f z;o}VK>HWcZPo&_R31|w$U?OyuC7lu{|NsofYDZA?!xM!2W=%G7E%G4=C$Sh`IO35_C#Dq!>S`74`^m^Emp$ zoz`+5dq@r2oL!z`LL(Z-d7hPNdfLf-lrJr75+ij^nQ%F#^ot-rDd1_`te_58y|n7| zTYwvxsk!OY(~o-I0WkP5hiHgvlnFwycc1ykl93U%S&PxvGXQx6S5O^r90B|VHAK)G z{Fl+}iPPLk_Zd`zdehTMwt-5^RR;0JH6}l;gI^L}7dDd3#P8Jo>kTGeW;+N5M`@b2 zz&4Vd5b%ga&xo&f9b~?tIy;CS9SADt*7jee$^pl;CV%1F5Y(>NoxpbDI)VD99S`dn ztR*yar29KLF$vMM0Cy_#pN_gx{hGLB^mh?o3|i#AnzU}ZjSyTBLi(1JrA)7I8W8{d zRa&l2lPE{rxm+0VV03ocAB@h482Mqz?X&Y$stqf*GjwSSoVlrB?n3Q%&(~%43dY^h#yT%=Z2>GjpCs#IS2RQOLv`Xvj*D0UQ6oUCw?RQgAC^LMEE#xI@1?|+(+gA`16f}IY$?zeV; z`u@GV8!ZDSoWT|QUy8A2HQdSYEfKZV>HQT=wx5rC%w z_l6(T!uDNIe-nt`d0$%t`Ae862kw{nuzc5qf~Ob6+@obd^)cwtdpkoxTmg9Ka9GNI zCn+FGHo{{wd5GWZzQS34Bs{TR^c9q(zcMeGko^RS4CN&*qc;g0jB4-Bd(r9WH>1lK zD`4O?nD(Nh!Ebi7E<hYJ;zFbvRF-(f1*e1p#gm+mKOO zeUukFW%TAZKk<_~*54oYq;RjcNF8mvq9J-)ir2=B4hkk5N-E%kc9{;fNK*?10|rntpf{sIx5<-`e0+5z7l5y^UC z+C7JH`;UBB)@^%6<>wU8Gvk2`WtzO*1A!Zqsj_e1EE(s>{4*+ZRKKj^r* zCpmCb2u9^oMf*b*?)PNF!Q2V7hLZtmj)x z@wpsoe9W+q>(yx$ES$e_ucQaMsiNk0bU>SPy+?su?~#@t2`Pa3sa}mB32wibuMY`) zip)6T2=>hWRx!bsv^MW3^4V6~6ShJ}&hrcs#b<|B&hyxicefDiv~{-u!A=ZMV#!Ku zsi+{NS0r+WCClI=GL!pui~HzQu7XpOQ^vX3TdcF36Q-TrJ@^|_!%_Fkizl$c|7a@_ z0yh#`0=*wbR8MgStpNd*yn;KpEJATW97jmnox9QdU!OKsO+BO+$O!l2^R|Kkb}Ntb zJk2b^Jt!8iaS9&F{Qsruix3d$O;#)n{r}PF?;-uaH^I(!Z8a*P%wb6M{`YEPO@552 zxK39qThBu*OjW!JR8+7|L`){B;s($S3plp}hzv@j1Y-u=QWcjEzUAt+NCs9@_t+wt z90+~@3a%dWjnVzC!6V7h8xy^-NW);zOji!t6@ezmHok-nEyH^UP?MPDDw#r0@96$Q z?Ye5ALa_kRXW{2nfiF`x__sf(1IMW$AUy)s3ubw}I+O#GTLTAW&~4{7@rA{h^*mmu z-;+yKeI_;`AC=z%1xO}@je&Y6Z0+@ouJjEB5Z$p-Y7Yb+y)sPf@&ugfNpf3~Ans&C}= zv7?fHT!n_K(?~CsuaunAI~qyUeyugs-VO?5E46YiCa>_v0RS7?EW6d-^5sFZCr^wa zCoCPp#?@OLR+)SR4{a0@CT|Ik`{67hwU!TBWJ?5fj!cn+^o3dj%wu1I%SHRflN`c^ znoUo$%fgC4rz3eA!!BQNG2Ct(b%m6ycnwT1a1ro_`iw3dkJLu2tcfxiKTcnj6`ygR z7d^{l7szkJ_m;%eEIBDGVW2B8zyOAtj#(iQQ=-5DNhtL{+UVc)2WJG93E>6ZatkpT z0I!5!F4a-7lv`in?0vsmYcos0LxX@X7sLifNjKyu&LAqv78Y9S1-;_)(z z9`BMXHIzrwJSC>`b@WWRK=|)z+yG@LsixKd8A76|72IkTo6tW#h)(-QIAaFEOK0zGLl?sH#Wg5NNsV?)qf&AB5pQ_)?LI#%M zsQc-~=h4yN^t3-9;iA3_cw=l{9O<^wjHuQyX&v7%RU_oQS3Sa!>w*i-^#XSYBgcwb z%=A`~Yj7HPmsrDdJU0~IL^C)?nOpvzhe)N(#Z0PKzotr5) z)s0V(S3-(?M(b@r;+*>2g|Gg3Pu%XEZnQ znq`8N_oNp4&J<9|=4D72c3!dP^EKeSFOme1!FV8|#cf5lzFypj0!w>Z_Rsr=HuyL+ z1iRQ)0oYu%t6j-Y4nYYZUD}UKB5dmnu7EFeG2nR%0Lm|v`O$Qm@_Wu0Ec$mYXJVRc)e~0(8Uxv6Y0em=6fM)4 zMNi!RMLbm`Ef2}@q2b_?@)(D3GKmqp8N0*)9GEw$%Cg?oWAs#)R?qga@alRvlbxB` zIo8wVjVwc5_l;q9m1wTu`!4+4QxUAH=C$#fl2!R}veb17AJ<)1Vw$PUs9CnqCr_dm zFJ929FU4X{iI8G=2zlyiQ}Bvz{X!3G)@{D-2mZ&#se)hLU4t3d;C`dhsfr zi!@Z#!u@CNwHIq|uC?*4^Z-mw6OIbQORaYkp{m^e@Nw#>W4fl|7i6Ww2{R`5%_dW8 zb(LV)qgMUhy)_TviEcxHX%mf86M)c5z#++a4aeO<^r<@8ZyeevDH|WcA@Z@_pzt0P zk|%?Dr>6U@v_#H~puC#NJT3uq-I80RHB5_1x>-U*jr6-|6tw-CNlrFf_-TePoZI9> zqWekUQ3nfwSlXgf*y1D8BmYh_zW?A#9(_D451%QzF#_`wf!klCozLcg{)9G(zV|W>onbt?G*2jSPmEsutKJ)sSz5Odj z2q78-!(F)0?aIR|5pUSYD`}Av#RMX7d8}_Yp3loL9aEn)&XAVHmdkPkgyO1r2K7pj z%2HHoquym}rb9#vYF<8_Vfb4OJ6YpGDHd6_1*?p4d0fVT6IvM)z~+?uk7WxRTM`L# zGYq04Ni6N%rg0I^(m0xFvf%;Bd6 z3E%#&Xea|@_Jvd9A0m%5W8{Bo5y66|Rd3_snA30W8hnJ7N?W=YNkU%TwC20kq>KE& zN4>iVZiP<5`ZdH$T5SZowep_1;-x+o-m6mTDl@y_HCcWKU9M7Fq|DXW(hflA$u$Lr z0CuW;m7Ww;`SSk7eSHbm*-I`0{fkOESN__u4#1^Ui?S+KZ8v`N3mk*65-M3SLPmp; z05jrWuUtJahu6KXg#536C}}}!mFMP~XwqQ`tW8nZ?+BCv;$*4poVZv5Nyp%@is!VhFXk|9e@~+Z5>x2xsv4`QjW>#?x z)9ATcnXwprC=h?B?0cif`BFM(mQ}z`_2pGvz-fn{`dyp`Xx-xyVN-4-rIiUaa1D~9R3<&js zM>qcR>GOKZ@k;BVl%WXZ_%k&>(An_;h&P>dn$0-T@U^*L0csX)g8!s0lN8^lo z2J;8(cx%d0JX`Sf5wgWZ5hGKqLUK!7GhHSKvQK+K5ii+G4H-Da8=2D+>cNU?eVCtmJg@z(GzH-Q5;#(QK<# zD{b3S3!DYhChZH!sp^X5AWWNF>^_mg;2%CgKxpzP2r@OSsCj%1JHns5SL16)8G@3N zamPZa7v(~zr+RG-j`pvFl5i~7E1;LtMIC*`n0fu;ev;`6J5GS&Xpj0OIf5x;5B%T2 zW7;xj7epZ)g*BKaK>qM=1I@Y{$;)=zM-#h0KgJ;R-7Qs8|1b`ZFVr+V$Eqc8mpZjV zr}2cLp`HS#UQ~v4PufL){sU6<3)!NvXNkHcrAUSFOk$ueR$z6ao)CTpLfD&Xz2f~W z(t4Ns4hCv{gLkl3>l@tLe64Bj_O~1l=au$uDu`8^B5GlwATM!+!94`zm%;`b7)1Bf zgywhoSxfjW!7jmz0_!9P`; z$f2FsOi~+;ClK=8Y?+9BG&=SCbCjpU_Ke5w+VhkkpJ;oY`G_cQ$`NC&ix5ns=O~?< z>g*{q%_2-D-9k~WmdVs}CF~B|7oKOA(M3F7#F6|_RXj;~RX1o=EBC0fio7#8?_dmR z8LLNE0F(a$ZKh!BNh(p z3_|nE9FA&gwQm2Vdv_xPxf8=jtX5#G-lXFYzel5JXV+!===mz1@1n`s@RZ(NZjy#G3$T!K(RXEBBkKZ%z!zzBlx zj8{DevVOYA7c@3PSgxvZxD>H;#(I?@(p6d{Ff{npC-^T!s3i$0%cdZ!RHD*`uRHXW zzRlCl2`BPRb6=b0HdLk5U5>TXQd|^-6ekXU{D2m2a1M(cX6GUSo_|P$;Gdr%?Z0&@ zw(8u+M)e^`Z@(?G@?&dY(R;x`{7B2#NvrwIhiwX*8|W!?jAn2gVAl&&A-qd&$Jj1T z*#P;)w*J}Mf@=s1r=U$OrDTUTz+iLjyeb7k(Q)re#b%rr_pUeGtonL3mI|9HNdad` zI!v&y0o-FQ9l&7tDa}LW$zi>yNj8RX4W`!LSN(K-adI$UB5MEqq3NYh%T2R9^R@ zONQ0)Xb0vM0HmUPw?ys;+DiRR(IZoqHL*Pd@})pi_tX~4P8M_=nI8^VM2^48MJ>V7 z^+=WafV)W^DA_4)8fkEbOcvySgEe;|jD8s~T~`sLpzb9{Dx zFpRn<$2h}hc7lguf=`Z}`E68`s^V|1hwPRT8Lj}{yKq0ZW_@l$S6a)9Tym5>-1!La za4~=)En=#Ukaj5F+YZlEEvpT#D{f=9RK5!0?8@zxA#8aH5h`_t?8a)x z9`B~{CMmX^UZ`$dJMnUt!>+lc#9Ji}Zkjw{3*|x01qkoLyP_7rY4RMuwjg+FiTjq44uIk625v4Vg zTHl9H|7(eueYRr)$a1vF8DjWt56}=NQ}xhJj){`@>R#!MAaN`IWw3mWA`4?=wp{l? z3ZjYhk9L&GX$#q<*Hk@~!ZTrhX*b4AHIx}>-y=kb^}#tF)}Ln8hu zeXvocBC-*YvUlg=8GVijSyT+!sV{naOG34lK2rTGn`F$A>29LyR8k77=z0(HJNdX7 zyE8qI#U5x2^2^SNI1PEUFZph)P7NsgP}{&&$Sb;lMY=p@>87Dnq^GKLv3aGw9zQ7F@RjY!S(Jk>LWgQz{vIi1@@RSgA`7 z@e=;uE`2o1`(hyb`+uV0yBEbBd56e)ggeHGR5vWhFck}zU08jW1S z2x5FE$ruBTCQ2RomFKc8Qw*9ql#IKvnhFlJRQRgL_s^D5cX)m_NvAzM^Tk8mT=zK{ zzfMzKxHiBLWR^3JmJT#ncQ>1)#U6c4d;TN#F+2TE&mo&-Ba(Jnsx$|33wS300t&Hk zqvy#-II8)J~Or|Y85iEO!}g950_X(g)HaI;cVRx#l4 zz`%%#)yn$&sB$EQx)W40wP!XV0?6E*rEh^~sWf|4bT@+&z+)U!ZbWO3AWbtUdoVvV zhp1$|X|ua*{JAaqxO<54dAhWItRWcVaRC%8c%j1xr4WxFkl5Eny^fo+K6jLB!A?ER zmO-S^*vd&k8~FB5m5^Wo5ST`jxA&hgU}A{i13HpAsyIAE=+{waUl5JM4bX`H>H_o& z7NG%s!5;_#ZwL3{c>6E#%U`Oe&HoZ4+R+g*0-jaI-PZf#HE#d-hs-e+U_p&F#?d~h z3ovZ&xqdaJx{})YR?@PQ1PVdr!)g0W^`D@!&@{;dscfEK3Agw zG9`v->;?Y{*_9mA@CMz)6p5Br$qXw86iUqokj;kP$CGmo8<5}r2n7yNETpTp?`XEn zvb?8fV77#0AcfGPt`;~VjD(FO(N#KX!IrzuKlsN2#cicll6kUKLp&NB0)}un0t|u~ z8`_aTCIikrS*#CehS<&GVZ!^P9ycS3mjrMe3*y-mXMTb) zKAhgp=k_WYMR`x@ZJE_}P@XoqZ8})A&2oPO=xT~#eAD@Pr{jpVF&o-x=djY(^_usx z<7Pb9fi!vH<;fpS;%TyiN(_hf#=m`CCy43sH#^RjQ}Vn>+Gfk05ZXA+w+nPwBlJ5^ z?r4$(rW#Y{-|mKk(V!-$Ua|}v6YcYRgiWo1e34lRk+QlBy5sJfO$v_$WMc%Ef0pFZ zQl%z?MfGyqkZy{G@sV_}&2vFhYVKH381#B37K%5?5=Nv+MpFr%LJbpZiO9-(za#Vz{QzC zh$n+ZOW#F|QFNXm25DC-wN!yfPnXjnG0y<9+k->)O4JEbm2*$l@GU-}-4rnda!LJj zF0*hYayG2DVCz{NwS}_~?QkBQ-Gxp#NG@$hQ8Z`l-u7$Bg^gXO0c_>^LND0#Qf&t~JwpsOo$niLsuDuzf&()aU~eH)NgJ0k1t!6ir)q@p zCuSm9CRA1x9IJ5Uu?X=||CYQGNDyLM^!rP$rWj;*>08I z>@HLFmTxw@s2jc6tfQWbJapTE@g8Y{W}sx2FRw#@B1fv+M8*L zF7}P_K!T`hZY(0_wXuxNB^L7|D?Vo4$~>kc>S+!qNvk+Zo#VaAkm?y`vQ#{Si4zes zhA^92&|tR1^>xh}#%fJv$iJn3#1jYKqrcQoU0f>nb5pl=N^(kxFBUkO&Vtk%GPaj&f` zQs5;OR0Iy*qawX31(E6nkSZA~fi!lCh{vKNp)kq%{M7-9^m@_zFhQ-EkqV;P&yslE zf0BTl#1kS2Uef=lC-!~E3#z>qqDNSNVopsL4q{q=_IlXC|GChoeY~ku^@i_^aF!GI z!lTqf%VmtFT1%BPA#28OwRwGc++pbNla~x=dy-D0m)SOY3Ppkoar+T>Xrdtk)8|ad zd*~LNhR0eM0n(>rsU%ZW#QdNYQ}W$bwlBWrh+gFy+fpaMRiCnPp)(pW-~vk#ipkbKT&HyQ(^0?Q-{@ zk;u_LWU1TeTgFI4eUM;v;Ga4rCj->9Lrow@-cdHl%~IKa<7}-A-pRBcUvK>n8YS`6;7FB4 zW{}vfma$Jz{syR%q3;AaFw6-tR(p&mq}8?hRSbc}%iv@6CT@Tp5>RH^>c&AqFw~+J zZ87tB=a@dL-8P{K0OBlt+v-^mLX9?9HM`loBz>vn^2CTBCd;?4zvSoVX38KumA+Mn zJ+;{p9`$4cd6Lt!!I@zNq@^Q6Qs#Y=Upgzt>roRg!9JqQCW<(8HMJ_taqqwif*2q7 zD6&{7lEJ$D#|e%=VI5-?5JCxYL5}{G1He6i1tY_%1Kiig)c`J!iiG~F|XJ(?{fEzvvD-eZ(=}0 zUnca=CYdgD)^T37yDnCZ(Cu)6IobR^M|QPOz> zaee?&6`YlpF&gqyY_C+tre2T#p_QJq4BFzm*r(v26FJ6$uE9R>Vo{C;*1d3e3`vsp> zS-$GE!6L+^8w^()LjnbCY82{pg>%%tV$%SMW_TR^)XgauY8zCS4n2w5QXJf=s?uW& zmp&8FWCk=hE7s{7r*QQ1HzJKxl-?i;7mGIm;Vs?SwpUZkZ*}X+GKfp33jO#{jp|rq zml1&$Ov%wV`XT5Wt}m?jX+ha5*Hu$OE6ktBayekY)4cr=E}uoBHaoqBzVJO8cCghl zOzfUGfF(3sPa8S#wQl*#kgA+i8izhn*qkS5gD4J{*_YJ8>!`Q_IxDTjuC00fQc5X> zIBtwCx{Uou!`c-lua+Y}Ib5m71u24=dIxcwE%?Z^e4u__pYz`(+Gr^k)EwDAbtC(y z;@!Rdk4s0XLH0M$;#ZT3P1QlMlJ=}i^cbv|u#Arm)q&nx&E8za2Opx1wAs#|Vy@FY zugt}KSS~V4KZ3ey!~~ztEG1$#L8_&xC<#FR_;cl7!^JL@WFt3(xhXA9ND^R8#Osc( zxvR0sY19Vk)M>0 zG{}-s;vJBN=;mCd%O&6))MR~?y}8OjY^$+|Vsev1cznXmqNlW$ah1pJ1)8K*4^JyE zI;ZoJvL`wm9e#SB?AG%*SDwzp=zBzJ?AGc4D_jZ9$3Z}*?cT{S^90b8=*aH|9~AiT zz^~b}1oq|&6U_0Njzw5UQglv|b+IcNsE+Ye$>*>%mA|@H^9M?m8>Dy}26exKmz%OC zJF3Y9b=2m1nL&d*Caj#35wdBfj;weMwZKbts?sco{?+0rUlQmuG!qrQ-Y(JQH)(*M zmFqG&_&viQv3eIFi>yPQvH}%!rm(6K05_>Nb|w?c<;)lg^6nCgwL>8p$Dsy+ zuM=8F^9>~lz#My)!#4FQPv3%QPky6MXa|={_bB!>Gu1z$rPSvO_@= zA*x(YgTvZnQ#&s82Sn{C==|=3+QcS`1zoA#$#$h73Gdj;Frv`iUiY0F1b|0@i1eg> z;gz54fhh`Fx6bS(Md^pjB>byoB76#iY;}J;e+9!piothO}h#lvX%u6kG0ek^B8t(b!qkGR+f;)fNK9v)b)Y@ia*P&P0zn6hl9HJ)C?3)+8}%uF zoGqQa=b%bNVP5r7>eL0gjXKP;P9VS|bVi0^a1OWMC%JNDr$R0XHYwd~$Uf26Y#@Ru z659U#S&-;7jVF1ExkD0yBhgf=9Vz1`-IcLQl4Ww`*n3Xb!EUSgFie2NRKE}^q9*4` z7u*?>!O@N^ZvuUE#kD;q*3}e?De$V1;Z*DZOa`ueeZURq6#HsxQm^Fx@CmJk#`IY( zn4%5eIaJc30Q%IxTG^!~RNTWTNln@&r@SXIEojwr%fp2CE$A7Lv?`rxJ$Hj5qkK<` zXar>XOX+_gHI9cSeNwn6kvPqnma1xa(uc`A@ zT%hXwdtOw&7FB5t{mibH$`!yB8(qNinnzB>oP;AJ6GMGbbchLk6ZjfFwUyr=ogChW z)I9&B^U*o}%&y0Z)e9TBX+*E#>gDI6Puw*qfl1QR`c{4)@EC zki#5r{M+66Ac?=-oehpo0rk4e#aK$ed z1bmNGy0k*5_*VollzryAG~4BZ^Xln7JsFR_-5t-4r!3(r^&(>S2h2A=+^`0RGqo;f z@d!?hwO~^$ZdPL`DAk`E6QpV}N=C|!+M){#z?tWQl^5z9OgBr*<(~PKD5x|63E}_i z1L@2?bGT_N#|s>GVNFx1XG%1ZM~8u&@XKnl8XG(^5$dNNtFcsOag!NDZJaTucoQUbBPB=th8aRlOL38E(lw5jAULNM|Pz z6wIBS;s2Z;(*F$Ue~vo7;HAT2X&)P}ZY%gHa5S1Ewb~rqw@lZJAY7>{izK|Vd4`nf zYz52J&`yO9s0>*TxHpH_z%S&a z$JK6UFdM_C(|D25_8{S${OD6aVSwU$lkUy!Uuy?P7g=E+VQ0Sy>h-t^TY9;FzPwR8 z%!IVn00KukYUpSTlkbsvih`JxhS8>c+^<70#__ zytdDs;LL|UHgZJbo|;hUT31;=vPfQOVIn%-X5?^j!VF(X{rS?@Nyf%0dNT$NM5v zb4f-B1TS56O|lXY?|j7?g{JHXB6J+rzN!`IWg>Yb2XaAME~9*H7+A+EKhEPRau|KQ zTQ03A_O**kQdUC9_;SeoLsAUwi<~jnJkaH+82Ck7(+eImO0$GTCde(mb>FB*_j7B> zEH?3O84Z9r%@!SN(>LJ|X4vfgOSL%+aSE#irMANtFJ9p8=&h&085BLE-m8IY!lhX0 zx?SXn3B#ADm?)yCwpTuC+PZn->$?F3XmeQ<%>!HZ!xLhmDUrw4&*2BA_bO zM^yD8n%5bkaO?1Gk|V=`#){}2g)LX!q4XLcL?mXHfhxeM11Vy4mh>Y?$6Nz0C0^+R zn_LzkT}tz)YAfNJ>1e68F)$2F;-Xrd!50GmoJ$1%0QG0c91ilB_$wA2UDqh+W3nAygKdE=zk3MBu{c}mtQ6f9PJg-}!R;@QRCDjGsXyli@7iPZsidn%VJ@)VfSv1r zaD$riyJNnfWbG<_3stfegUr_aw2`o7UH3SghT0D~Cy4txbL}{H%V=(M zhN)YR6U8Z&y%Ryo$U#w$ejrjk!=`aZ@s=>D9@%~x!r4frrze4UOpeumPS4<9r@&)! ze%||4#_;&Ld?funZT)6f9>>W?$MBGjOBXPBC$SF~&I0(Rh69DjPxP2*$c@Z zCs>mFfh)rRx9wUsWqeNTa{g;TSe-qxx4Z(?50-pk7vSHdv)~$i7OqctsJ_tA!%sTF znzQ|66xxrw3}iP@62QwxVo!KGq4dQM|?`7&x_1 zm3_a=)YID`J$p%htt7msCD_ziw92TcQ`E>J|GgnzI0)Z~qt}>M3ADArGn&{@P^GO% z=EPq7lmntKUOc?GsMlm8|F1%q&76@!TTR?P&kYyt)#}$;YLLsDEIQD|7iz)(!yksL zuze7kmfYYasBUqrM*nP?sdFU4vJt(bmUDCJceNxxx@}ZrD};hVxfjL;$J6h2%GnSU zXXWYPR#AMwUhkL}n)I_k($U=|uSWHH1L1}l^cXPv%3Fg61@Ta%$fZjvv;p)TSpttO zF5fHUiOJGs^y6qA8%Bi~B_PMdNEeZO#(ItM_QcV^<#sF9)L0YVsV^j1Hbo+50D*Hm z!JQSqdFKw)EF`7&Y5(W1-nEBSoP!b+GpIWKyr8cp@dlvm>Gz>$v1f<3|3NDf4jU2f z;0p)O%u8p!*{u_+*t+i0iG)+?$5bcpGQAGwTL^$edeX(QP|O)TLz+)VDWef+OKEwXYuyeonQX)A&*? zDMQOeGu3u%bp7lCq`v%|_Yn${~USd8Q0XBMz-&mRlH;F+Da3i=h-Z z%E(w1SVWWM!U@q`lmzC3fI~fn&y^|n_CWbzlg}>>qOXz8w(x~S5k1(~W9l$O3`(Vi zev7$5`i6qj`KpklXD)SzJ1m)L=s+D8Ra0xU1@~w7z-O1{kKH%rO6!*wNfar=fAhB{?@3~V_XNLUU3__s4P1al= zVK4>oQysy_q`rIv31PhKB3Y$;P0x||biqje!R=CiSi$Q<^^9}%JE&i73!io>QOnZT zUg@bplv(9Zsu%4rVYI0|CC{O=ppQ-MX%Pe+1&T!LSi1axXCptC7Y}vhnhwKfYh7We zgjh2JoKL}V`_Gg9i}V{!Fw2ngkcYG;TTP>J2--jhHvw=XH7?8>IQj&~h<6hZm{l@e zCK{|Ky+T8V;Jb$~9--lVpdCJX>p-ebS#6-gfJZaWvQ_pzIlF(N%}1RtNw*<~JtdQ%H(Q5Tjuf zkWb3xk~};Fz>@iSr?;=q%(n%HJWP%$2uPOm9L59BCLgDC6n0r^S^#cJA@P3}tb1nm z4?>R1$DOyeI^ho5R=e7NBu|r9UYV$r+tPEj&oJi6S~wK&M};fvG%5mLDe>~*k#FP0 z#^J@on8IJ1-S^)wlNu({AOWfDwl*3j0MXchuvKxL*mc2wdeI-JCuya+)ita5O_twR zuW)8@wF1Knx}$Aq1e8rNH`sC=sy3ur?t>BDVB$Qb&4$vsv#r zsNpDDYhk6q==jvsvO>u_^w2ys7|gF^XlJyW4n`+Nj(d(3R%#dnJDF;?J=UXS@PWH3 z^e>*uUwH6?&No!Ha1i|*hALdj(NKRgI69{9Y6~BTB3WH#4LuGlYIYErZi(%Qtz(Dk za`m50&_Y9+-O|;kx!E74A!ab!t3i97biT&Ao=0jqaqLJ>Vfc&mIUp_I_SpjN$r>w zIjA7LdbfnD?x+^j9b=6_r=ExL_TR&ewS)r*P->J2=z>Xahn&+Gx=wtp#8B(K&uHY{ zA18|xaYd4_uGfYImyP68ov%vb$)a~4O>EQlfHPlwiMGVKO)s>S7DAv$vk8Zg2vw8k zuoO1Vp0)a&*$WW${=S~Q+L8c2K)}Bro+MAP!|d^-77N=GamdM>e7G0M zatt1D5t0GUrk9?0UL?R1!OD+D;o;qCA`53veG}@sK(}(bc>C@9+8A6PDu5 z&ngv{@zzosI3UpaA=m0m%+mQT*NxY$;I->ESVziq?$(0n7QN_@zdyqLLLeL({%z7* zC;XT7>Ye*{%T3jri4zR&spT-QEr6pN#{Mq2Sk=?nHRAM4t)SK)|EQ<)mcf!L52pyC z!Yi}%sPCNQn8F>yw|JLC#`i8AnL1sTH{&7{L;Jz^Lz-oQZe^9ODG1Z^Po`XX>bveh zV154%9!O5ac6*)a8X~pAG3OF%-xN?UZ?c#f1MUkx0*6PCB&bj2hlX80@9Ds zGB@OU(lR;*L~Z3+I-p=#ds6 zuD(|$MS8s!BN=s?@F0yXKd0bGGjUD#{*4yS{|Yzt{Q<_)~}i2Syl;FBdOP> zILvU|>tu1g;S{7dasy&pVA`YVXc|s4G%8e*=)^Vmsz?m;m&qzrKMqP%L0X@^WoJ}@ z7_7}Q#fhaG2=OS|M?mxven+wfvAF~>RqqSTUu6*@S>jVDLUgI=ZHx`85HV+P`v=4R z^Bo-LlC(wGdv=P_?KNtG9$6WqFLnTVda9!mTARnQ0_z<`9iqBFIE}hzhw3%sQi@Rr zTsfP$>VQB16narZEwTA6T;Wn!BCzxW$CQ2y4vb_a@A zn01%q86 zfwAiDQ22G1W96dFk@EiL<>db01kjo%?!26cc~O4^=H>7t7)X6ycf1(p9D9K57wxP# zLZ0k-e5jTFzf=A{@FZg|p%Sco{ZyIu%Hz(W=fOh9fK*rvkcHSL9$T8ft9TvHaXqcM z0aKaXq!g?x>$rryTJzC>v6xuMR#F**pWA4>&&w3@tC!aF)@X;oeKA|HydT*m*Z%F+ zDLloZF)~{$QqabPUMfhEvs^U^ONF5re62TtH_CZU4B8={qJmN(h}~v@_3brH{RZ}H z*CXQ&C>~i=q_%wg`u z=jySg>S4~?;7~AcEU3;XiJeS$6P;1VnBfwTE(ONZ1Y8q`;JZf@aqL69vEv}o&N~vn zLJ8{uAZ5>c8WJ`A(0h8q#KFbR+Dpg%YS1k-FOTy-dK%^+-) ztpK-2VN`#P0p$u@-Zxy$wOm%^!A!-juHmf{mdNh4A=S0scE=S}HMI|hB+N)+s1~3! zA)f%KNk@?2c#$QoIyBV|MjBRS9p{ParX=` zL|_DZ7MpUj(tkbVMCZIMx}}BRz*Iwb2>nEk}_59XaZv zCiM6qDp%u?e~0%|uasRO&q?^WK((DPAH^OnMh)rKL!;si>K2xEh;`3!X;5Aaa{0+* zr%B(7h-JJWl|sfL_oeRh8^aN>g?~GBS#)arqaQjYGu}ExJrMWM(3zmRoXsT7C%bf8 zBS*wngb0Gk2*4*yX%oZ4xQR7!S(YOWToI@E^v9ZS;E6^AD zq{&V;hXhnu5?upSoS#WWWZ>n~Mvs*$HOU=s+feH>O)yz=4YZ|DmlQ43iKaERtEtS2@jVhN9zo7;{(*+}19iI-$B zW7*>OYPtBjlHKo=Y9DrdNkd{USyL=Z@S}v({94?EaLb8K&V6zK-*g=xwEsJ;*xyA} zq1tD^+r`Utc4Ldf9KuvT$z|2YcFKA|O;XzcF2H}?QyBAn$bzwy^b0Ag1(NxrS)aoRz^vQ~Xt zWz%F?s=mZeo!VX5hpp~oc57H|A()FfV2@7@4?CzlaC-mHCf2cYC4jRn(IH*$^*-lLvpz?Q1S+Hj6+|4&!yG|vlyTbMh!!eZmH=w}*b2e2ooETeV3HPf> z#lIt9@{O50`dT~zipFXHA9O&E*0;gplD*Dk2bD>qgC}29lIJteXf<&@mw9RQT5TZ#w=Z)r)eT!`kGy>T-%+o=lYKb* zMG)C6#C_QM_h;l6FgHQU?+SHLQo%duzx~mVzx`1?%f5vr1i)^s+4V8tejo+NgUtHD zbHtG93&LvgYj;Fy**!&XTOAh41NQ`HM8V>EH(A1QfR38E*n)NQx!Nw%H0|^n1FN!n z{aKwzlj%mDq6TOTHvbY;y)YgEPmfY?@iIuH@maQ57hCngr}VS#s~B&s*J8+_oVuL^ zwQ>Q~e157ne7%j@B5l32GyyuVD4mky`q%?qN=kuH^HjDIqm6iQ3Jh9m)RCIRxYEC6w8Q?#(6pxW z5KG92sePk+NfyZ?{XuAo;K$nJP}c`)DZE4x2iew%DULyhKw#0WL|>_-Nt^Vg96NY{ zJAs`oE#)sSF1~J!ESse$Ws{Q%>X(%^cWEP-RGqvHiS6l)W9i14JKt9DK>Dr+)m(clnxsz=8% z?uyjT0)}r*DJ!|E_0}EcReoYRzbE(eSJVJ*pWRoK=&+kQ>OyT&ptX;>fVmO_$&)d< zgYHmJmd78BzI5O5e8Io#;hdX;j>1j>Jt{JUQ^{kRT&d3H;I=_d^4z%tIChHWx#Y`Q zkNOc^FQze%-@t3FUgJ#J)uk}H8$|!g2GGM+ynQX{hl#8}SwWNtO#3(*oE@JII=#AJ zd$sJTN&AFu_iLcG6TG%S(1$+z?O&yYJ)jp-l3l>fh)xRr)Gw64s;5t~U4ifQ7orsB z3Rv=)ovsLANI2+eTc)WI>o-}ii<{+DyiV183=DVZ1gm}pu5(>eWr+1i zex_*yHA%9deLH|xY)p&`x|Gh8f?-7+m4WrS*A6-Cboa7m)9&)CY?3204NSBS6lxwl zd@G-`W~}|xyq#&TXV$6XHm%df`owfX!?^-Aw~Y}3DO%}x{5YWQTOy7L5KGh$G!nT5 zHU``N#uO`7lS@?aVN{fm284D;M_5a0%yX{MpTwJ@SCSF*cOJ3lSXv1Fu@_BX+YzHT ztS%iFC7D)bo^=5of^SVopoNA9lWcpeEJ2>-L}sL0KfDit#M8syw4qqLa3$9XB0~{} z9j_enO5usn%=1I4d$6~EvSrz0?1eyHJ$r=ywuM+Uy|fKtFMCN&-<9epB>ApGqVyQn zZp7NHvg{qm%woA$h_&hpeXclcio}YWVw1GBSc)b%FRE~BHXc%lsiajP7E8MdKP@d_ zJ2LtpBJM&o?qJUNQb!u^yH~%re@|GC&P^$|N=z@%CaMT4hw{`h5-8BmT&WM`2_>NV zXaYO*i4zOQ&@Z;FyYjaCr(m-@&Wh^{s_>sY{VF=Te;9pr-f`GUI$bczSl!b`HjUob zX1N3W)2=W;mm8rnfbteW`BAtGBV?H2z=*G5?_^3yJ4gDuQcnPOOC-)wz=ZJFk;QAsuE1Y)hX*it|FG z)#}INLp$Fm=@lbH&R>;!-Wx+AT}+5QFN2%v z7a!W{>nPcH_0dRQ;Rc1h@c9K@*pGh3b-dOVL8=A|7e?Df=ff#I?k0q)l$!C^LS&K$ zv z&fX?|kCWCtKHjs(iCW_cNag@I$&lUa)~2odeX?i2%5_#dK2n!V(|E&3_1pgzQ+jIi z30Si5X+vyqk9c5sc;5Pb;g!?xhoP)Xw^;8NqkY=*6-5y`)JKvA5dY)AU#}dW@liZ} z5C0$_IDRJh=V8KPYj3IfRcuB!f9WUD-rL>dvDC`?m;A{Ax$ZeY%27 zJ-%HXfgkToFxN@1;WwISb{hDpasw|*C_){jqhXs{@hxU*+;CJw2zUK}3AgwwT2>6ggg-eo}X(_&yFTUIoJ?Y zToGGm<&5HG#Wr0on_yA2u+?!yR+cya*iO2>%9dA2fZBk*5A>kgvrMOfhN)bGsmx4m zpEHquFNl&b#*C#>a(-;PIiN+U-hbwm0)IDSQ&d@X5L0F=;2N^$Xa?DdD31cJqmjU4 zvEdByVD+sx4n_2-R?(lwRTQWBB#&p?7H*)vl$;}|y^5hd_3{zvU@P>0Jm0Ccs*GZ_ zMuvtGtumQLnN?ywHNIqo(ooWW&_k>7M=Wo%TC|!~KFKu{%H7OXq z{)|Bh7}UjP9`QdWnhPISV=Y&bN&d5AAs>i)Y7?kgY~eUS5&J9$87UD=f;*FvT9jMo zVUHWHYbhYbEk9E4<`SxLf|f`u6f@TCO9k`n29#=h6*V7ZB$!ZJK&uGlpfLDfD&v!; z2wYYw8l1+(!p_?;P&4Qs^-H=Jt^f3{Vo%%T`mz}BfS|rX@M-<7<%6ygwLd<-y|Oe{ zjj$8cSkjhs`$uY{Y%-M44tMCV{`hee3Sj$sgPNmZFI-E5DuXzHrJAFglY6Xwe?UsZ zxqVqa-X-g-h#sXm>~fFtIpWh|=U{ck#!axxsYs}qyON&dj*jbowA<7*J%dW?g?6D3 zZjU$i6DNRFz_~@66Hp5lh{gGF4|XgHjj@ss-|w?rIcCwvc?xxf(T}4~0k@11zuP}k z8FxdTI!{`?Dgx)f+xT0l5^sZ>&1&%#==6QE0v*WIVITI^i!Hp5p+Uw+5@i zaN%6K3C;lo{q)>`(GTBOa83kP-QXM_X?XJKBaK8_=~xpXyTPHu>2kPF@J>h-my;ws zGUF9dqz~5V-(8Z*a8?Lc3L~jW{R0&-oXKUR4o#5d;V>IAs9KL@l@>(Lk<&uu{JT1z zV@3g4p)g;*#~Tqm3AJtJiBC2nC|s*J1SrIyc8*mj=zs!FRbC8Bt-i`D_%K1;{4vUj~7sE92ez zP##Ywl(g7Zv4Kj}XpyO^d{m){xdvmw|AL^V zl#~KQKk*M}s&21@B97i9Ta&^1m)xR+yRg21lM8;p?puizV-k*SX@OwgxS8RYkz@Z#OF90@9i~N9%gEbO)yQ2U} zKq#~Tk-bGUj3)UG6au@`{KkYcXA^Y(#%eirm*ZKqz!iR>9ml6oV(~az7rPaWs(bPD zanA*{V;ROwZRHUbJpw=gprh)+=gK{-c&y9u1L*JD-QnT*Y~c)M4r94g6VPfXPI3k4 z+6bZmKvCr)Z!9L758FzJP-^O_a?- zYsmj?MW?J}1}#%kLLFg57M{Fa#Lx>URH5nDU8&ii0eq!D1I`w{ZXUzlki505o3t?N z34~#Sv|!rm0alFsjSub)lz8m`B|Ia)1{V?E9TgEm@HD0;a~J-wPwvx!KA0^Q4)iUQ z8tJb?yKQ*B8h1k)Qxur>Ref<MENccy=m~$Y^p+VHLctg(#m(B=ICbe4sx>6raJhwvo`3_Qo&x;uss3MFZT}SQQix!y;ITn~ErZ+| zLqk>XCgTkG6*ZVSyG1vLLgP)PUk~4*O#vzzmhFc65G-)sVn>JiLB#lYgZ7@<7?LD3 zFpbcA=L5O45pSYGXZJ^kL-?F^%yEz+XapZ!TBpw2d1_@I^Uw2o9XNJc+vTx5!J}RraD>ExQv#PR6U9Br~ zcXM~kFn9AdbC1YK6bl%{0x?2^5E>RpFcKpcAV6Xk!x9ikFe@Iz0wE!>n3)YM03n1B z{Ezea&#_|H9R3-)z%MT#@NT(-rAG)>vPov;AnYjQXb|xI>#=u=}4GZORI7oF_|(Q3ef}*BEf& z=b^F`3j33rf4%}JV$6`h5_QE6Njqn*;GNaHWSvxKvBsV8Lh_+je31MG>}q}x{Yu}4 z<}d8fJ`9LZ{bk!q^`>>$Hb4K>sr>%ag^nnD8;6 zHm?QKbTST+sN12ppV4kx2dj!6Iw?6B3~bES>X}%{>lm8SQ_AXkpD75wY9@xuW^BUD z8yI0LJp4lkrT8DbcL+OLxv3EvM<%#r;}g=UcOi}ObhC{qPs*Eom6%e3ge)63s#o|4 zH->yfRDqTqw7S@GJ{CK_q1mcS_=rZk1#I;zK}&jyJL&m|?Ogol4_g#(ADx_!nnZpb z0crk%vP-UY)|hCb{myOWmfLZ;C6xmBUhqVakDRV31kAY1i?I?gQ#EpWp>5e6hmss0 zt8}u+GZdji*0p#%PUz%u^RIH`EuA#EoYWHZ_~|p)#1OSX%rRZaT~9E)28Am#cb3&2 zBd~CLlqglcT)=rV4Wb}Iv6V7LkwjSSuVPAtA5Z9r1509&#KvpioH9hUB~u%FtjW!> zl}_>vOvfaJWoJV~Hk@k<^I>BG1s1FKP+%g+D^L-7w0UphbC|q31CkgcfF0wz45XM` zaJt{m&@&1v378)6L!RL;h^eJtVC1Y4?N0)WVxEMF<>?Ym>g|fi_sHeJNw&i5b33XX zHdOgM1(*OZ0EqdO2IoI%FauG40&5g}I!pQ^k5&&SG0d9l=pkBMgejzZ%_+&HjrYUz zxHCS8`rmC9A~|_<$urHC3Y)2qNyz@~O0hcFO?m=WhGj~X=`G7?t|+4p zEoeAOTs9WxSEouebKtdCY(;0V6mN+r*{0Y|(|A&-T-;?`T$Ca?xIkC@>`q6oKonm#m)|HC zS)I$FQRzdDZLV+S^dyV3OO{xyaQ@?Bgny$)r4~2qE>pK%nkq%#Y=7iC=7T;Qb)aVF zUd4wav;VYvMW_0yBtJ=fc9|^F2?{<+mk5WB!rXUm8+4AKc$iMH)s5U7Ze2)w;2g`q zpK1yGd#570_#y;X*2TxZQcXayW1?imnM*Ykn|c~wm+;6Vg#3JcuuoX+ZonwznTLTh z;_)_%;J7e@U2{b`qP#HLw(dofjUji4w{yzlbP2=Q%Wnchm*$`;y}M}@XjaK@ zlRc{L?;&*(lCyo^^T}-B6pV*C<5XwHH@9h7e5;n(-sBGn!#BG|A572h14-3E(9V$| zW_2}%Dhs4Kq*@i?4gx}!Y$pdRX9=HY5zmt3z2Slt>PdAKTAig%H5D zT|u~%7X4CDIvxZSZcP$gou?EwPNu2F(K#<^u^UrC)ElpY~`+4QX_-WH?n7hjAo4}WS!d?VT^W*Bx ztv%A88pS#Mr0Au}B)3u1;vm`AUAh~SF>(dR9y5ivE89A4`Wrw8>R_xa)$MXD!*rEc=8)h&v|$7;&kSV~)6AjgL43lxVG&pJX} za;f+i{_Mw1(R=3Hs*v}!C@=W5xV+B&@W~2}SRCFz{oxZHBcz-hKImFeWkOLlnm?ur zg38QuU3{HhiDvT>k@AmNYtTtkNxUtDO!cKq-OM!64lBNll$q-2Wj`f}4`Q{?GJ zmy4W3k^q_(mw*^!9}Y&^CR2p@8y1oSDb#ui`Bc|j&4k%>mfZ{} zVFkRH$H)7J4TN!xsw_g3W$43+gP~>fmLrZE52FKm)0=;ab%%aj^K{UVn>3;um*IB5p|#esTBY;Gfne z25Z)T6w(#NI_cVy)sOGgA~Ies=YZdp4;Z4MPLtH=Ft)TR5rKRDZ=0*UH}Kl7n~JeV z-CP*T|2_|8#%Vp}XuTiy-IIWML`oT$RN3>^Pbz_71Jy)Gd314dH+n&JmsSnR8CTZi zpk5|$Jf)UBr@ycadJJ*>(9^U7ZK<>{x8g;PPRtGbkD_|b*Bi}Yy@}JT7IFZOME&)a zU_;cX{vCeh&oL#4JH!;Oa~QCp3>SHef`z(4J~ zPm>mJb(jd;!Xlk?qX}h05&&<{W>hjfmhe*|vzlnZ2q7lr#UhL?vrAxtnl^cXM5cR` z@j$94O!N$c_J0qMRN9k?#X5R1#@ArPqA%q2mPJ0(2~MtZ(*bBB(Cw`xUD_c{4Q}v% zRNf2fQ991*y9uT^=K}E#L-)9l^Z+dwbiBwI&(vB}$s9j8+7s$!uK(XiekfW=eO-|B zn<%Qo(64Xw#ds77-RyRllTywE+_IFhz*3`ZERtR#awaONSy`6BWGKcgs7dZaq(|px zlz@Fs`H%Hz06rw)GQC@rLN#`r%n(%lHfJvjg`OTg?BpgxRnSSYVZi6jKhq)A;1@9h zE52HzumT;+Hk5NW@Pirg8r^DerHD+{4`_IEn_n^CwH5`4-mxC4 zMPXKhpi~6cOIkJqdZx-W+O@SZwbE*%UjaAJTq-@*JXcK)_2Xc0-$y2bKBwfH7W}!3U;61^mk= zgQ$<2pvl@BU@%~9o>3REq0G|5)iZ;D0#4d|%uQ^8+%O3p*nqGM36^ySsD7ciHAt)ULoi@IH>NM&%2|2bk(gP%nQCq}ygEEi>%DUW@C zRYlPYjIYHGszxV*tYVE}#z z0gT1e2t-ek5Qm|s&fCo5+y+XPxmTM-kt7|Jqos^)KG{SEqg_>_+xbzNP)h786pI*a z8iYs}dw-(tZCNo~b+|XzIiX8+MUpxIMQdsj_o=9w zT$|oEtp?vHpTH2^+#uS*5u(a8g7WXNkw038U*7x$J`!R07m=m0z1LhXpNnw#_&CD zZF!5DX_OO)KHq#hjhCo1NMaLBvOAu3eS-jo72VP1i>V$go%DUqNjf+OPL56wniO~x z__5*{bk>Wo-2Lg0#qMwZl@Em-hMHMt^GQ6U;rv)I0o;NKDfU!enbDm#svG#?Ja%lY@;_ z_3$ne zQYL@tV_#>C{g118VHjQldSeY5V!z@p{WS-2_(Hsa<*Ars7JnUdo)9B>;Z(=(;)pRa z>LMnK#Ue_~Sq~39I;59flP6O3hkPMKoG5DE5tlfHK3XPDp_yG$cVif&`jX{Pz95hn%9DiT)bV?Z|C{eQsC;gS;~1W z7RK~Navc{!OY@zx|8qr)zV z9;>X0&kL)pG%50{=`KPE)T~-szPM;7s)P$U(q$%OYpGQ?JP6zu@whoDtHj?4933Ykj6gQ=;pRQs zO2|xCq_LsD;wMrP_S&#FB)fJfxosE`kJ2lp0`Zc*F|2la>%-PQUKpZc*IXuFup1Evxiqq3yVLU?)}h&)9Od_)D`DZt8`~3&jI5d%I02Ny3vvkTF_i#Cx%659;7$sJE&F|;7&3(IBe3@I8Ce>MflWzW8Ad(l@ z$aV|p83Kg7Xw8`u_YULXm_wOB#dM2EB zJ3b&8sQY-wQ~hlfF+4yNEzFt0to&gO6!83z~GviGDEs>f?&x2{J6vv1mPA>YsraAI@ryG^P>|Q?^C) zZvMrOn`90iB^eq%c>2AtxP*%3auhII;FDbCh3TYmk;hY9z$j~ouUU8Rc+x|DVC*8^ zY-Z#~y0nPaZfF?ALk1_o;PNDnj2x$6U93wsRdKm3u8o6?wK>~3?upROPC`n{!=KPS zF4i3L`g?>`e;>3!J!0&N(U1@;&wNG@4`aNL= zB*jL&=}t{ScWG9p*t^gh+@L9pNA0LL?r|h+6haW@hv4UIY=DXhlXPKITcDVv%%Dw| zaJp59(;^?kL?|#7aHD$*#{7D59ZB(G!9-p%@XsHF9=VAsLx9a`l-&B8dapv}+<*De zE=fgRx)3y>Ccj9AqiuLkhrYU}5_MI5&`Co&QkPZTk~V9I&%v^}2G6JxHCL{qz&vA6 zBA7JP>zp&x@)mw}&~AxAXgV%o|27|Nh~+VliI*JITjbgDH_#EA-d*JZ+Yh~+f>$={ zM~A(=Y_B3os-f?yX44@hsA~Zt1>k5T_O8O4!_)~sfAlbVlNZ@E`YO9#!bgaHxkXqt z`C^0?i(-`}3cI@z4%RBxEB(|?EQA&OafK*JfdNH75ZURT0{Ah?SbI;yZWSfO3;&OC z9b7E=2M%T8X?b>E{j`RuX70StH(0DPrf9+_1#@FiY4A8L2rz*3)gBx1fVV0nsOFJL zBdJ|ANl{{lbwewR$58%vgB~476!~r)+o9-7gEs6&eApF5cJrq`uBRkpULDCRWBG8} zZ0Q!JuSGt&NUrtE7y`1ctYghXQU|z_X=QY#Le!?9q>C#>#!Spz6Cz8-(PW$eol*?6 z*=2GJT(6RYA78+7nR5s8e#?wf*D2JE3ub4MQ_4=GlckZbh>3E2@4%!AQ3riY+W>9QTcyf%}I*5$WNmo|)sRo+? zy*@`f`3kcSGFsrS78$`ZZvITSLuGx6|E**Kp2AzyXr1iZDgy~I-me59&D zPXCanm5PU+P@HFO`Wz02&j{M~%?bzH^g*;Aa7%`%hu|H5Uc|pKy}XLw#xvsFi^pk( zf515(&JYWic`FomnJ%NlvvbCE+jZIS2?(w;%lm+VH@96%wZ)tbshQ1LCX+H=Pol%~ z{ohC3Q>=OPd#M>F;^Fzh@1g4Q8Y({gJye{Q3ph_hyZMJdz8g5sUnC^c5Ec3zMx1oP4$szp)IU2ckW;f3JmO*Oe!Ji~^s1-R zL`wy)La$u|rwh|^c4gy?`kyCxF;C+athv*)B*SE?vJdqo#g)|^;)b?n9muVc>lTyp zvThEikUp$U2Gw^WD|>#Cn9lMMfjsJ2&r@GM7Y z7=YJo@9JI9Ar-|9_KPk=q9$x z*Xa=B^(>5~zw=Q;9zuPNjgu+SykmqlyQ|)%Tjtk{4%x5qm7;(f9c~soC){WfgzQ== z5$W%&V>@1Ke?(e0Xs9QSUN4jkr;Q;#MMw+H`QIU9$5{zNq!d?aHk}}Al?7?O3}wW8 z39r1JTwF(Q^aDDowtE83%l4F;oeB@SA{*4ayOC^+$lWMacCjEj`5dU5aoPNre$+AL zMyz#+@);hVhU0a!WL#`xn}ml$)3DOvAcjJos(ZXgyUSUK{*}@ebqe#&Ozgc#uA=WT z=JpCX0}6#IgYNoDC&$nawkwhDbkys>BDJH6t+1`|W1SFpBW-5?^hfOk0F;$VM`-hU zZM#mwMphK&5dBPFg_&Ar4!lWi-Sk}RVtiNIiaP~yN(r)-K1Ec(V$fJ^^jvIIt9&(l zhPJ6lY}gZ-3wsPg;oJu#Z$Y&T%?Vzof>{U@mf5C4?3K||o|hr8y+PRL<%+T-7D@3w zndg@X*(t++qcd?1r z>!?33k(XpU9#|X|{0`+{(8-?4@Npk#uhiBFY@$kG@DVZrX`TCdX@&09ofN}`o5cn5 zq^w*~vcWkA}WrO z?)slUdWlQdDTe?&>$3s}q4T(0%QdT2JjNxac^%W{-d9z+al?|uHcUV@0p`D&kDSsJ z9;@pZOk(JbNaZh$GMcdEx|$Rs;l>EN@r1&i_v>^n@QBUG&4|DjK4spzY_M*bO|)7x zU2?_7o6FLqv(=*T$}T0vb2!TSh4Ju42CHQ1zH;kJ8XOrV*yaRgGSITVGj9;ZR(f>} z0+=3$Xk>-Ni@0GaaaM=QmQ$&$;3d(SU?q6uGCa$k-8_s=$-21t^drd<`Jz_L=i$@G zustf-$>=ZM?BJ9f$xSVPQ=k9=KY6HX8AiLKZYsv!zc9bxG;pf7~kP;duTUEtXIF6 z<9}p4Dvl-t4nQhD4V4jrL%Z2d@yHqVG3SqMFGQ915WZDO)wcVi`vUmU&yK*3N8iaR zhiRC?j$yKfReJY*7&T?t0H5JpIYkzr1_U|ov`SvFgvz!n{uy&o72Tt{PYbdUNsVdT z5*8{Xr&*_~JmC(OMFdVvP6iGgp8~*z5c=?kPbl;T?b4yQw5*sY&*Cj&n7_!g6!{fO z-oZE$2e*sp8$W6Dv2lp%2D?rJ<~DcqV1I`VJCF?vglip7l!J8jNJ;IXjz_nYj<=I# ztCwP_Cd_%s38y_I862#IU#-H?uhKwf>3mxxVMx)}-$vykziK_@&Eh4pwa(b7{V;-x zlbIsGUCR~1w2G3i$-cve%@U;(rC`sDE}?jToFZa5n(53zg5xAp$D<%S&D0R7JJ};k zZ&A0IdrlNA)8@+>Y#{tPGWjZ){Mw}rbmIqYf{e+A9i>mnPc)oT24IE#y@8MAMHl%~mwZJ9^zAW0yCIDvw~}a2G1Q}A zmTb-p`1oKTg1Fml?E#{nZw7bgQjwl6k>aTCF%r5Va7q!EsQV3vgR2yIRgUk>s}gRD zx!g!&a)~E(qy#{3_Fgo-BDfUH529Q+zaz;?xMlk4E)9#}I>s+G=}Ifh%D43lEA~d! z1QQxrVtOk!CXPm@M<<<}i^BaY=u`aJF*-9!<cRC>&FU22}(vmry3fWjax58+a#&p_mbSQ|CRWXT>vp zSkyA46U?sNjNb+44&mp~S_hbS;n=slii!(n&z3Fh?tfGd3~f*xvt4-Ot{H^uB)%x4 zKLqO(v4z>SPHNzi;1LW0S!W9NOlYh18Y~FC%T2y!-_vCp>*d1?$1KxdxTNc_Z;_q@ z>}@n5S#j7g|$Uj z-y%`BMiIhKJv;@FX}m2i(BnBtFH>l&4#YwS&(e3hAD#8+>O>G7!#)yo^mB$Zs5k|N z7~qJr6v@={v`i?Ua<(COhqh<YxK}3q1|9rqQk%EP2^4f-C3X@uFYKE% zG2Hww-E=x*27z?t1jvgyN+{NHX1S9jdx+q6xbveh}T-isL zDK@o>7*R1c<&!{&-G)ZBmY6jb^)iKBOlgYBDXeN*F@DPh2ogM1q`Gh6pz#*08u%hq zoK{jqrVF$$OvXGV*-@T#5-Y2_l&`ketfSXEKf>(G^V3t5|M>X~cc2(Y^L7Fy&U65bbMp*~<(Ffx_K!Ibop?6_8T>Z#%oKk}R2RLN&lbFEYPi6-Zh3 zNPGc4o1>qX0!>^Ji2a^zYTu(_ukK+ZJxKsT4`Bj!I*wmP&*BR74WjzPXg~5?tpIq!kpC{0|)ivF9aJ;|2Z)i7*S*+G!bdTV9Sg{_eOBS04ziXfnEW#@#j49fy z^=;JUsBin*yqX9Wxd7SH=5MSx@#uvw5){6*X6m~c=d_iNbIht`d7hppo%00Ge(6OV zeNNoahhPN5KVBvXmwK7S@Z)HIdXZnoJrQ!LH2JxW+Oi@Baucx`ktX9Ji7&KNNR89< zXn3**$DgCU=yZ6@TgB<{BpFZ)9w{Ob?(z55hM~)O!cZzBhZrx{s1rELpwww>l)))qJWQ1xQf`yk zAH1&a=&(K+yBZwzB0mU38y$8J ziJAa&mc?bSAvmf9UoaNh$3Q6OV8B1{aOzSWD|f|iO8l6Y=(bJdJXdtQGyBIT$1XdLn=q|ORyUR+u7)-^@nv#b6@O%rr+!2oGp z8`Ld3s!r6jKoxe&FlbO{!UVq7WopDF&QA^lq0nYwiS62;{nQM3GkjK|CNL5+e=e{M zRQxCv_MI-vKb?qVf>xbD<+F$ov5oB!g^{N$qv-Q(TucWQSxT}DeR!L~yXRrm%$JKi zS*7oy*V`4H^o%oIA}`hUa6j_WAgX>nc#mYdov5sUD3#2c{3dqQ9Y_eENuE%jd0ZQ8 zFu;NU%YG2+9+#Wi!Za3uxTtCixw%Kf<0?rm0{9mE*-QU>@$}j4FfLjeT$}d}fKud4 zQJr!|sZ2oPoU_Jj2_1zGX*c=7uKHR^>PlLhHa6hs6vbM@%@+jwRYl3@*KPVkCd#(4 z=@2p6f4o^_@>iPlcCR=%CZL1k3#VI@NpWxt1|Zd6FHruB!}01&EVpVxaTZJ8_VfeyEM{z@?${EY24_yy2ZZq-ogZ1_3YwGHJo98V z{oOR>9NnB7jW00mu{0AT&(P?0_wL2LQ;04*4Ub3&W-cO`aW;-u=--*epllzp$|e#=F=?vyRvup1c>ax-C>_%tmhTZ|N!>;vfH^WjGtd(SCbx(~Z? zves=1RICB)+o92`*fFPe1lW&nQ}RvMBP|An=?$r{a~~K0uvubU`Zty?kXDusxL6}(ef6}mC$iq_k$thYn-92s4)%%3~y?kcE| z>TJna%>}yMbr333L@k6pz6Dmjo4@{X2SatDWFk6RsVbUQXCs9Z&4Q*DTH^sVO8Pk( zqw~JvTc`j!bn1_ty829v%ZfUm6N9-bSBJ`HxY@DYNq4H*aqnPY%muXFO+ze7MV41{ z)}gA@xWT@y?Jac~MQoB)vt8OoU0t9}ZnE9hlxQOQo#;GwCa0$S|DDyKZXfadDN5<*M6Rx5VrhE53Rbiv(hw#g2B+b4< z?@Qp}X*6=*jlaXuRazags(v>OLw!cd!=S_qV(2dtQE8bJ?*>+%nv0S7;3a z8N5et7z+{XX*B@$?@KuXosjm7zIV zuy-I30P+bVnUSqdiQMRq?nj?Srz89i{dI^k<7Xzxgd|YND{J$KWumXmp_gq|Tb6Ad z2gW&dW3MKsSTAlYtWNjaWZ@BwReMRL`NFZ9zQW5QeNR*?$+ee_Ub_+7<%;Tuf%|7a z>VnzpsQ?}V^*lp$1^WT5N(W~<0`~64?a~0#v#=YTA<+pISJRv(TL7>bm&{e(dvZ)X@pirc$bikFCbPmuh|m&o;zRZ&uc8BF;X4@hZUOlh_EHnG@;}Nh zZ1#^mrTk=*9&RGJV6YR#yM^rO4xyl{?gxB-&mw!{1+E(i0>$}sUugNrPZ|Vv%&^g2 z{DANdIW_7z{YAQpDu)EIy2%V36U^%trpLO-ahut|{{+6WhCXeQ$%1nhYY<$0WZzq8 zpa(g?{dYrvIkbhH<8GIIB@?=mn9x>tv$H`KQAs)cyp^dZh{aL|ciU^5 z{Ng&_i;NX<^M_4g@cKQk-iUi8MWN>ru~12scSr4F$FI{K9dL=VN*&8t6yWfQKS_C8FuRI^!q^3m-S zfb^?Ae)=p-aP36|XZ7kekKf3v&~tg5;QWtGwd*PVhJzS(=l(#7FvpMQZyaZZk^90=5!gaZi%k+VWqot$Iaf3 z)H0*o3J+Gdp?l1 z)}CW&xehW3takZnuX5klSGFWhk=2DnJ6)4p10SU4$mw{nz6PG_0Qs1Pb#}0v_62D( z@>j&PAU#$ZX&HYDzQAW~zg%QA_^v03!(1>Us!t@7Et40sC(WXhtkLEzw_S5d+E?2D z$#KKgk*qSM*CS-aK7$% zWtv>UEeJYMtP?sc#eLIPb3^;)Jx%i1N3(?pDIePhjn48}WO`JUk+d*TMciEaS9_PnRxbCoGa#8f#%>*kWM4LllbI z>Ape*xFmX#Eb|HW>jY}KRQXb0J$XJ*$SjJN7Ly2yhb6*_*tvCa=_rhb#gn%?sY>2a zh7Ms+H3;`roUX?C71;AcnDP8D6mP}7H~?aO3!9Y+smxDBqH>afSYdr)LoR&A z02O?EyXw|jI4C4*w4PAG6RCWsgl_1g(vANH1RHgMd;?d9%I9sVeq?rJqSmt8D*i3_ z#LZ8B+%2(|Y;1(bsi4(uO&V^ ziQaBA#7G}fy6(-t-iRL%T)1uS8?`+MB_z|WNZ?MlOW~t~h@9Z3!KC3JtT!ffifofn zIfJtS*0@Tp;GByTG?>js>{^%UMr|9aB8?k$rj!E&(Z-?LD>!>v@hM#5y}0Chleahg zu2*%hc0;oaQLgXg6sE|@8UE*(aV&A$8{MO3Z13AzvgRMhzlkQY>NB>L6rjS zqS~+VEhYoJX8frl_zXz*_RGO=yOwJlCb2oNCCX}B^RFE3wE6QH+{ufltX-x2T0v!~ zXAuWvSdj4}hM0s1W@@=U&8hr&c!o#v;Mu*qS5v=*+&;Yc0P*aEVg!h+%(i9K?@cq- zga8!1TwMS_XaV-)VmXeBN-)50J-e}`GXeuOmNDD)?kl=XCk4TxE%{k~m8k$)@?q!p zZ1^ty9!(M*&ew1L1#Gctx<|7GYNm8(Rto;NKWa@V5=q>9axD;YRXAwDHsk z#KWT%Wq3qkv(E(9ch3&3D}S1dw@P<0_zi>;f-o}=Z4#ZI)2JP_n7S)x3s>QSpXQv< zghdYOwpG3-2ypkXIN`KD#Q@)2N4+*rr#jZSNFld6s}_}mnnltkl#=*4_98xkcf^>u zW6xG5N6RpBCta`9uI!_#PZM26UqjncRwUJ5bGS=jCs7~OyW=o z_DJEs)$WAq2*4W(>nL#n%BoOF#nq`$E0iAU;IRCe<8o3(w`cT_looyG(2UYbTNp@Q zqgpMJ-)j&>*E)3A$*n>R1iZoSmhpB&^u1l{0OM8foBXKf6Yl+?_H1iiw-{z)t?UR_ zNW3xVB_0=fJe|blrb`sh0!sIke@4rf-~1KF+xc_3PFvI5fF?W#C^neMf>WJ0#GXZ}zm6_o62jHIpbYY^@@XoOgGte$-k$4yxX#y{NoijxlRN1GMj* zM4wvmX$poT{HMs@L2Eaf6PhAW3du}U6k}!Vet$}=$dUfZv1lUK$SXX$Zx>(27A&2U_~V48&~^Qm*bG_#;zB3~_z2{ul3eto*)vCGj>B-!r# zIyYa_nnM=RC@iLkE1aV^7se*DFQJ-YAJ6CXI&(N`&T#-ci4Nr8&60T;NFDP1+7+9F z8V%cY@WO#B6MN{&#PXNI2YEf>qR@yvv_BkJo*7=(Dk=5MXM2aFKBYbxUp{plrj}E%zDlJT{fM?y|EiF)h z^a3n}%Q(4=qdtnkM*|~6iiQ<*b$$2v!EIFB73Jcu zw};H>6NQD3OX(K!`qE}0Id9UTNjLu*jZ$lTzh+aKsAo9Z<A_9v$6zR>Zm#(j?1MOdVB{Eu9X)*DL?Rw>2Mn>w zHi?7E42Gs=^2(ublq`?x}{UCrf(+RTAi5p8k7h~!h{)>DL96d!;6 zB{~XB83q7WIo>yb_+D6F6s#?}9EVrl>6V*6*jZ-ac~xdWi`Pd-yQ4!b&%GAJrZCWp zFP_!F@}R18#jxM#5t5ItqDS=8U>9Km8#UE3_BO!h>DZrW7BpT%%MQ7V<(2{g-17`w zty&JP-1s5uA&WC2|3hjvV*MNRew#^fG< z+eAe=b*Qbdjre2bWT0L{e(QgSRz4?SQU>`+EfbC58uICwy6}`9?nNhq5M@$@DG3aB z*ggD-pdvUXvfhE&y1d40{-cwo^uX3mO$Z=E*8Y(&iLpXzE$iRprcss;Sg9Q=#w>Npf|Xov3fx z6?ShzqWOkb#_T%8ib5Re#f1n_ZpDdXH_YPaKG?kGQO@T84zy%dC zC+k4%^eT`=04RD`KBbu)Epl}joj@OxG?e;Zf!FU{-OnYr%vGFSFjv#f|Mn+&7+yyY zqJEjc&@GB&4(HQ?yx`G5unaNOTdJSWigb$+XkLlzc>~L10>hZ{4_GJ2#|0=??aHrH zeQ;d}o=9=-QCNUS5AmFq$T5F3&7j@e)xh6>Uh_>l){~IcNHBf%BIy2@(UC=&0x{xK zP|^&)e_WRNM7h392o=hV`p@u#!jMq4_x21!BNDKpwv5yP^_X_Zt%awwD=aeb1>b)i$is zX&e3^ng6`5bkZAh^M~suuFCe5ZiUlbd{h0f4tmP>e6a5MmMc@8Lv_lY;UCmy6vHWtmPY)89^=2NtE0a2gEf;%6w9M(fwMf) zZ=Jtk$&+)lh*LQ9hCd|~X)f>dF>n4}7i!HZ30o^?lM2Atn3Y3eD^K!tw#Pz$xkWeU zhHJN3z*<`KHl&*u=Hagn9xTA*R&i2bnX<7>rE)E$! zuPjaZKqlK>uM8PhX?C7RjD2rSKrA+?`mHAb2MS@{)FhqB(cq!w{Q51_M4%Fx& zZB5ZD+-$te1mV5??!os0&~WnL+#Y|vBh&kP8}3x#_336Y+~mVW!Za^fKF@^d<`Nt5 zC|%+C*;%(G09?PE?73C+1y1@<^b*F|`s~T!DPG*}Jy5}k8P{1q0mZ_w8FpG@!JLw5TCX^rT z;5M%AiWTpSn?h3OK_++cN+}LGFv;;Y&8CjOb|U;7Z(*a4SH$uNrzCsI{RRK70^?LV z_0Jc0oBlaj%_$td#rVJF*8Ls1m0xK-+loV3B~}=xaWr}`I=pu>I$+vQrh(au_%}l) z!#Pl7C&k8RRB&8iMwl+F+DUKW4(Q#M+_uhZUE{D8gzfCumLBZ?uoAnQJFEf>u52LKyLObWgtDsyw4t|Rqk3)P29m+=k z+egk;FtZyQzIQ&Oc|Aj>kP6}qlK|oPB`=K_)E;>b_k>8CgDkRNXA@76p(MrF@ibat zCLoLwJc>->-k<}+jsh#cks4*s8Z^q7o|xsj?>~$Fh<+XYd00*O&x1cN*vF1Ui#sASew+i{*XrpUg{W}a>1So(>SYZm0*ER$g%wh|9FdzN{mFu3qt~__%6ECfn*AE znVIbf@4!c#BuGDlYdt5d{2kgfVpwg0IWh<*RiF(Mv=E~O9&1QCWUnEf{Df)@SfT~S zW2pFYJLVcBarJbH6b6WMyC21r=*>e)=e-eU3tIlQQV4uU=?=B~8M7SEom4oT!b&an|Mh99S zNG5;1yFhgJ*6)_J9ZJNIN!OjztvialnW$YQQCbsfd!VI9G@c}Qjn&;%K3<7k^*IGo zf`LyL`s-&ZQq0bFjV$d7e{74sE977{4JI5EW<%0(Q@j-x&S{)A254zX2lIlhd;tNW z;@9LB(Npmu?7NSQ-I3LtN&;=+n}3U~f%R$iKIzyRzWKM+nwy&+@5Y>VSISy%osH{= z(sU%x*bat+@qA}_LPyuNp0Ku2z}EP!6qP`~mQbzA%BZ>Y4W3#z-Tc^0q;?gZ5eegI zSk?Axfz%Ai+A3d|(+iH_%SgQ7C$P%6AspV-BE>YbgOQ`RD`jqL+hznhZ`CaMbf{qy zTuh0(yFc1@8Ykp$Yul#vK5x}D@o-DaP6s_VO&kr*3V`vlUL4ontXb&1apcNi!=i@7 z+gdUA^x){I*MNF#V%M8(lrPJlQ%%@NshoqLO{V+!r#|Yq0C}0;R_~x@gLTLmtIF3l z?$SZ;Iv^!dT_haB2c^vcRxENYaNYz>eT@#q6D>yC^36b&A5^U7&ySC5$GSVU``cA& z{Mdsg!RcyAW-9TwwWa9`g9h#BYH@n_`=zPh2e;6H_J_H7UE-ywk$i3*vZlwC1nU~k z(NULNOyg8!=Q)BU#qa99UxdjH zOLH9auU5)-lip@Yf{#-&>_Dsuqr;P^e|U5h0Qi zb~=LH?&P*jB-xBwA2DCmD`@D;R6lT?^{=1q8LxBNXtdq@Ey8@Gc=9T51_IB>O>8lS zaO2a5D3{}A8iqAaFm{Q;;ict<7#$K7ggnjGl9$Odv8vP(&p0^`%POo+pX{j`C*Q$M zb@<^EOe+}aR<%>AnZvI3P*s{%XAsL9J=XV*>{-}oWhLdHbuqv!@SBT7sM?}nvBEfD{DHt;*O+taNd%k zB7LDm`_m;gr6n2VB8B%Pg{y;|(@=cY-gX8y*Hn9)XL%7%^T>2lgVkmnsOkvUi3<4? zC&L-}n{WQAGpIiI!z^K(F|u#iVLynC@?HVY5N+xZqu*wN_j3m#bI zDm#xx8hk@Ek~V4dDw&p@mO+=y?+e_tuw$dwO6}$$?o0L;sd5|6)N34aq4jSKwhQrO zbR1%fc$sFHan;8roDM#aW<-|^y@s&{`>TqMhX~-`@T&LBTlJ1HOYejas6YAG&1L`E zX3bSGKwp2`fx=vDvQ&&-AQb;mFu`44Yfh==A0;XH6S3{{Wg`7@Nx=Kaz*-HKn>`>h zxvi-F=YxWoOghPuWqz3^N@Ru@xlBF8M=YCYiN%8rb?1sk6ymUYz# zrYgs(zEEdWCKgwRNq1LlrWewbXHP zSRFT=)LjH<6&)hr7(p%89Es;!;i<3);$&QUyFBD*lron0mhtkU92OI8KSAE9q( z<*u(wl+Lis%w=S5)m#2G988vNvMcJDtGrUdEcvii)G7wtwFYQ8F$U)>jWSQXj!ITC z7+`OMIk42=q2?N>cbe+p8}3+(cxIii$v{=3N?{Z9Z+EQ-_l?V#RatU9vKaV`rlT2h zF#;#R8s<8NSO@)9QB}d*XOwT4*Lx)BhN%COL7)X@@KxKugV1k<`t?J%!;DbV4&JZD zptK`(qwbgOvY+UVO}qIonC`KOTiRh0swe4Zhx|mSDQW_pYM@LI{InG4Bs6_MS-R@R z9A1Ns=B8GYL-(x!ai&-eczJwtw;*-D#@}kkby5!I^6Vo>kufW zJ)Lwv(5lp%Rn0)lw_{ovxIOC53SPwj-r7l1YCj=SUK;m|Ej3>H-Z~18GdNIY_G3;; zoU$YXdX8X8up(jRdNMYpRa+_xGcVCHkx1Yvg!c=*Ocg%B7$%@s5!Qr^Z^t5o?lZ zLKhC8n}dqTj?;&qd(lIAe0hKl#SJELsAJhrBS%^d^=s(N#A+8Znyl7D%$hR?^A|1! z_#_|lHT*4jFy|&c*Hqtpw@>wbU&xAQbeg*#m2_|=eD6*Ax_&#G#IKVJ04Z81Cx2>|jw9&Perp9aUs&fz}VgiGIc_ zqPe);_VU8+R@t|&iOgV5Lk9tBQ{}N$%D>j>8AmI^n`3%-I$zm%?C{tGv^V4!R2?dK zL+R&0pSBGqeo*wPUuLjl+e^KU#`$Vn`X#EL8#v@DBaZ?i)w1N3&c*pesFDHI!V+sZ z?EYGlAaEDaag{Jx)s@(VC30D1iHz4pnnk0-mffWte`Z2l%G4C#Go9Vk*C;d?*cNBM z=Ri=EDPp0fBU0!%AALBiX*IHBvZz8~q;jiwP{^9wD0+&|Xq3%;I`Z~lW zn6@cphhwso4f5B3*mlHhl1OSL4yMC7QW3?*eeL?;K@Lk317KhZY;xPu30vF1Nl@Zg z)}wRF7}jhRk3A@?9c=frD)d>2B!f*j7c6-hSAFxBmHZ1<{aL*rOK2M2L5HPXf<+id zT7?CF@-vM2nqFLu>aCruA3%MDAmV7j%5v|frlMzsBOi4yda6z%OIJrv9L+V#2qQ%! z9b#S=`E<+v2V{TOd5y(NNPvhqsbN0Xr)~RqU=M)Nt5tyeDmXT%LTbKwt?#On2Ue0E zE!rWU-2A;CajbV|C8FRM4aST^Jj=S=I4vp+%iRaM93gtxHVO;jm_s~r8DDuLMtl`- zIHRwoR#nOl=LXH9;E0Adm*ZHE>&jGioB=NNCh~3$+)VCj7WW}aJRTEF?B<$QAFvxQ z0-qXx_6&s=R%)!?BrvFxU|Tt@nVMM1GPiN;V{GKvPBhYn^13R8(VY66V=7CAN6X(% z?g}jR=#Dr%Zb~(%;DZ?bL9tJ1UiBq5NC!2=hIS;PK#|ThuZW9m;%U02LwhHhWmk2j z8?vtzFm?0KaW-fYZ$v@0)H1N9W$BW6Mc8fJ$43VqCCgR1TpDhTWZIJQ7q2A6i+K~X zLMzyeE>*2`>pagIn0_sj`Dl1HsG!g*6!@xi>AXR1kp{=xI$ga-im%z>s)IXtrLV5*120^^fNu(G|7IaFr5_xh-a8|- z4K0Z>w%VH_^wqlXdQZ}6^djHjW?pQ1%~5-W&{1Lfo4=n%BBm;9HHJ#ux_}vzlQWwl zA@)S(PXDlO zY~Dxx=U=?nCsxG!TwKvWgKj97VE(Z)?#j+()lm&XVOKCrP$%q-PK&oxSD#CE1j_!W ztJ2_BAIX9q(HW)#?21sq>^bo~j>hRE*HjC%G2W*Uv5etr*j2AC>3@D1zmG2#=%S1C zbZgb2fa6q}yC@g_$*ZGB0f8+ZTOC+2lddqpM{T6d8_~i3KGED-R^!eNzb#1`$QN(* z*0Gn)`0T6;#=e$%-8SzXdF^&D2&vS5f+f94F|%oth=66_6&nif6yCgP%r|f-mnvTZ8tJ;&?Y9}7wrX7`$L;OfoIUur}!t4Jc7t&I-oS?SMh3o9aDmb z8q~Vjy~tb)B{wWZu*Z9Q&cN0on}^iEM}lh1m+B!xXPir(O=rQwPRh#%txY8M1Otdt zl3ifc6($I(!ZC*%)m-w;Ae0oEK8vF*`XWw|dozR2g5ggS%Hm5lmW9RAbR5D1SnM3k zp*0M^4P(QQG8%m=d<4Ke!D|8I;cI=xsLYoK2GW=#nr8xw*sEl{9cQrNSj&)j>TreI zkkU|*FKY#o&7HM2&l(zzC7I|12CuZQAZW!{bl4Y8{+ei(lRe}E##mLx;l1k#-n--8 zDV_k1`MFaA9c##OvxQgCT!uda&wa>HDHJ08X4my%fCZ>*VhAGPIV5t`qs;3aGt{kp z1y$ktR!D|(@dN=aVeKhXR*?>j4_x?O(zuhV*cG^#Sv4pmg;akiar9+gP426FcNP7* zZ}h8-!Ojn*2fw<-9 zaa^DTV%!E5feDRvN7&a;Dq~ijnJ(#2s~#E%K}K#t>-c6Na{|feDh--RJ1SJ7ye`{R z$DeWk%iY{Z)q(mpW5)(IN?c&znP&BZjmd}S<&N*uhGy}Y_>OlU&S{n z9imlfS(EkD{I$qZmHaFA%!Lxo47#$La2XV_ZR0?aW)7Ri-wBmI`oRc_x@(UKu_?4k zz|0CY$i~C!Gri&&VHwByW&?J`G5)Pwdbsu|@T&PCj9xU2Abu#Q%RV4C82nO=L9ez` z+V}8(!{^V3Po5a>mJ)^2ycJ)mWk7RR=renY>eCzYez$-Ul`HK&^i~0uZ%%*Xwq_0X z04cV5Y|lPLNi8{XE0^R6K`;iFV_iPVawD53MuPK;6g@1s{;!Zj+ALFzAZ-<|b&lCT zVX!zJT->K$f)xmRuheDE^08asUBS*aP2ux^Ni0OuxI5C4?JG z=wf!xfYRG5+{;WZ&z65*BT$#i2Vn6`CUr+Xok-S4WWvp|%jRICWo>K0E{K{Z@pYsV zxHlqKuiUOM5mb>%?Iyn3b_VkfEG9g(BP*0rbh~CYA^|5sB_@6X}^UW$IsJij-2+z&7$Sf0}Q9Tfd zs*5l#UOtEi-V20_PU1CU!v{_K>y?*Egm33dX-J5xMBcm3;EE@hI1#q4Rzjzu)-%Q& z*TFdjEYdlw1`BLb(NHLVQCkp{*!Pf^cds+S^{E24)xYl4S@clV6K{UrsjzW|E`>xv z*8G;Cy}HV)INKy;xrizxrrhMP7uOajG(R-p&%h+ijrE?uD+fTeIm8Ruh zv_xEe7GDtvc`v#s#i>H<7{-vDQ0xFL)T(5R3EbHTI_~d9TC%5ULqTv?OeYW-8I@>riK*o?tIKH7VEQI4)NamDP&aYH>l-974)qv$CY}nho0;&r4eIce z2WL_Lz<@f@9-1Pzs$JK~#>BEeyZ7c^^ct~3>oR%_oq@=JaWY3g#FY|!_M)oZ2#%qD zvefw)&Nx{m8!+B4oDyKn=*KjZy#eozC)mO9`%N;5qnKp?&(SGI+tew;83o)y?kC@T z2~WW8Q<7SN0#`hKpG+3Uy(2^Gi+q(AEC7U9FTtXp79DU895lt=N>@(D8rlfk7!zaV z&aIid_;e}DPOO8ty<~#Iw3a+Zalw+pfJlWL%)7x89(K?p_g=Y!1RBtuH;7*%FSGnI zzMy-_%NlCIR{bJ8QKx@ydtv&w$tv#={cC`NinoEVqf^Q}thkW(l+|#L{pIr zJb!IhbcV&-Y1IW2k`J}YuY@jE1*uYT0_N<%Af)-lxWvtucANFs#26^MuFsJNnV2|; zzD2y1wGDs5=R$%H*bqfOkaauQ^IwEGLWpC1XdgvC2ZGf8;G;_VyvS{@(6IR4?NS@A zHYwhTnCdJN1Qw|e!PW^Pud>V-a{SK-)9*cZ2N!A@uvZmH65wKFMpoLGs_z3y_>~!Z z$4q=fr&8n@#ma5$WhD+~8n>IS63n>g+;o)ZbJFrP*kzID8CaGSahADEBGukplRa&~ zv1<&$<9r+^tPV%-*s@#x89q4Vu{99_N+gRU#(*u3MZI%t#>YosILBFzO0vm{1I%!u zFnG15(>)n04sNZ8S99Z^hT6oQ?@lQ8^Uwk{G_bXv0K`yo_FB+alK(8oXQM80jrMSD z2`y@XWno?%I@JmT#(fXpm%#hn8?8NMPlnZ$3(M6_HyL0Lx7CvqV|b4!Z^;?Q3d9J# zqq^$w>@fNn{P*4=og@E>Lm~gVlYT`vm!!*aYWZbuo3O}<=SM;8Si z-wsY&^6S2>&#kkgS}iX!i_cPU&SO}9Vd@;6AD{I)(#LnxH8{ZedraT|=C6}s7|QRA z;ph^-Pf5$jfys8@Hd)7T42PE_$vf20IzK-Xk@b1f=xM~eVG)Evp2+`TbOOK@&kF$DqOjIY!x=ut=Z10HTtNgAE2?XxUko!ffq|Y_0P(pwITT39a}VZJxEzAZO;Sqh?cO6ff%1xf|yR>))xOa3^hN zwht;Ob$jc8u3P1;%{{;Kx9+Y2r{j5ZuzPEw(K{=`aqw_QMK~8J@3TK16EDT+{D6tD z|Jg=aIKeO0;dHC(fGK!1s1T3Qk$T7*10R3Hxv0)uYvSa~hKS9+Y4eWXyUqb)Cg#+qZVA*yeIP>fDKp(+` zgDnzg(QZ)TLmPxh&bkqsbw57}-Sv1JFJrwm`5&m@z&HHP-(MVOZ~pX;Z?Eh0;?cwQ zOxqAtKq@;oh+CLc+tc2Ml7K1~`4!&$Bv~Q#(TnYTo}eVEqTKMaX7?;_0vhx`LxXcr zqYx!*b<)k+ACYQQuajU@BQJ+MoT>-e)uWW8tYr&U%65g~z2h{?w(AmQaB6uu{5Di2 zrntgX^< zC`#?U!P$p6@`ydhWXdM%GSzZ#qw~>eH3{1vt{+0Q!N@Zh{Kjb`V5o+Nr&GFp8(zp9 z()Xh8rL*O=mA5$};`75>CEM?oXMe@>d@sss)9qEBJ)Fs|a@9X&Yli*dv5+jAT=liI=`FPiE{R^>VWUk{8Weg28UQh~|`AIkZ&r zF9Xs`^u7ElHTv2RwdUIrgDJx|a-*TTRlcO@<$*u>MB#f()l3 zeP<|+()T1{l^{snr@-YSs<@?ZGquPEJ}~nh2PbujBFaVj+!oQ+!+rcev>DdP#>73% zu=6}rt%J0peuHS_DeB+gGVm*;ilr^6{B@6MCwf!iPSLqi(9qtVqLI)K&o6WPK9{S*GGOEH{&;%QgBj-hJ|g%XFD$agkl? z=&wwhW@ne%A3gsK>)r%a9-~p9J^E#Q)_Te3~LZ(k53HhN0kSJO*8JwiF;*rvAkYjpuO5ocJu zJjWkL=cmMraq~BwoGnJ-xapP(YowFfqc@Z&^;lF> zO2^7P&!!GZ69uT@M=*bR7!`DuwXRT??_=D1p;Y zmofqhuJf8;bSM(dOZiy`plIhr8P`?Pn54Cn!mB@LhyG0MIUa>kgS6qKNT#Vl?MiJ! zS)uS0NBuX$XUf4Ld`#mwxrq9-0^C{BwOMy#S2aW53DZf#^+20aH~%rM2#AMYj;&xs1Hm}-6d|-+a9U8n zV3G`4bYkF5W_7}Ta$}L{za1F)3XeL5tEsLs6%W&<$S+U}I{a)iN%Bh!7RBz`42;2M(Fr5@4p z^y~7vYj;e*z^ELPVPOBoA9u<;mLIR_SXA|$1eHW^Of{5Q+1}i&<|@5YkdVuI6IH?{no{1Vm>qhI*uS6SU(W9QBBU9zt*}KRyrIEo*WtAH&TLj;#+i(U2pYAgMl>Sob%{&w| zDhZ=wTghvNAWo2n^AAnI^QF25rH-2-{{6(FoCBqi!c~sl5VDEZpbD%W;Dm@ z)n6+3+%hQ}gj>8*SRUDUQ=oj6SE|3F$0*L(64l2DQNaNM45qV%;F?~X_(_bC)wEFY zdI5Zi1_nFatv~5?B)f2M7i=dJSyzotP<3PQsEdrZq}(73?_f1G5@$%O8^OmL!x-a@2OZv^8Ce=}x10AWRZwkAMUo6T#WVW(>#xinK&*C7B7rd%1h28x zYum&O3jR3^+3OZ9+KyQSsOe2azj?(&=JMLP!Iurv-_DSvMLo=<@8UmV zML3T|LW{^{Pu+>-;UY;c=AM2?ukyMKm~GSiiV@&33)j1hvgS^qy|+mynNndL@2mb> z<*T7xn_>MZ6Psj?HGJ>nJDQJz6g@~+jmvIY2t5E};m8Kh67~b?^^gJcUSoZ(gc%GK z#xcUnFhI`yY7psURh$FIZj?mCI1XX*S-L#$Bj_DJmqrSJ}^p zazFR!MK_Z7OL6v6`mMWo3qL+_FY~TA-lmwFR>MQAM7^0eiZg^U0f`xJd=&yC9d2c~ z=`CAl0enVML`Z5fUUhHTOtWdS&T`%$U`s2L0=D#|A^%mc>iD*sxoJ~LNBGw%9$ZgHRl}KErR>Id3{4<=*Ti4ySTBO6?2`sFR+zBHe61rR z;^y$cX3kQ(KPHmE7c67CuZuvf zT7>dYp;A*)Omb_s#_fA{7O#V*EB>xYqa-Yp#2Q8R7rmQrGg8P-$xj-QgR1rz-6+m0 z6ao>0SdYL@qtV$tBte~&xB>f3OJ+DYxH>0D|0$+{;oUvXAT8L?n$e$?yTLL6i?r8) z){11VpjdWQ7Ad{sYrSXT50&7F>Nvq&<~Zs81tf4{wVhr&dQ1UA7R6}UD7?kAdpNufy|`UwFiJ{BMF}WpsSF40 z_~FX7Y#u#v&)QLpK zP2@MX4zznG(bC8&;92Wu;+Uo4`ZTWMNvtGhOo-oDzUn2?Smcn5lL>wUdag3?pFD}4 zKYva%tvxA?K?-O4Msu9N8I#&IVU=8&{)59VBL0>C4Qy>THfdkWv-W|c-&2(%J?`$i z%1Y@Zp@w;OZQIc4br1GkC6H4uJ%?sQEP|YlyGHZYy3QlIKOiA!M~+I#Aa?N&^f_2f2Wl8OZYL>qZ9dyMvt-}=UmsV2&Vu-sy_IzVHUzLoUtdADUqiaawGF)i9T>eDt@#Bx)q9!PJ~Nlx3oVH*{oCg!NEfG$Sk{3;6+U$bD-GwNuDH`W%e zE~^u1rSWZafU(tbdISw5hY0^9_7~_-IM@j4#5GwISVc|q>2`4!87J^~zPy%Ish`Mw z+g2a;NLy`m4;gpk)KZe;rmZTRrSmO;LxsqFtY}^$J_A>Yc6z#x?^8_@|8XCV4Kj*y zWWEPlGov$lfP4DrDy>2_RF$4yhWUD%JimbX4?7nuNVaVE6CU5S;NwuiH={tNgA-ef ztGNx~)!?&jkw2naX=UuV7PyHJ#;3_YH@Ne;4{Bx7*alb*YB^~_r=seM<|`AI+X$VF z0>ef`TrBgKB_lx6(=Ti%c#qJiL z?dHGzQJt4dXG2Zn>-*%`x*tj&9*tm1!QOG-BoKR$uot)HP1gFGoV{j}7CinQkpxBE5 zC5cJ}ZvlrXO27{CwBo2aIzK<&QKvQxCJdm%098P$zjJk}Iyj(&@STaaC4R8O2T}*5 zDBo;0#iLs&JYtE*i1;=ro2fPuHa^}Y1h8K)wINaLI^v+t zs#BHHY)Lu&;giw%8KGm(&yG!Bs!tK1+%<`(g7c9w-3^Ja%l=}T$+C5FV?g?I&ItM8 zll%{J=u2F>e_$HnArv~)u_?G@nu{r_+zZ2qN3@Ax^`R6V4>y0A=50w@BsO1S%R;nb z?e#J!i0qJ`a>U@vLw)Ge>)7+>S;#A^-ayX(SiB4T>U-=PpgSbKKH*MEQhP zqiJ`mzK*mT#xE|R{aFG>ouoauN2yb`je>QQOV9;+3irC@u8*0QV%LU4Fif}tS$zND zGA`rj+4V98)9KcgQL=5CO<`fLvy1d~I%QeEu&twkXz}K6(~A4e3VVF|Alg?Jvz9po zbNL;w8wA5C@+-fAExZ7ho2MJt36`ypFxezo^WM{+uwphfj_+imLBju36`|sWa`Bi~Ybw#Zlk7h{n@$!}!3!Y5 zX!?>bG@@R|$33#xiY3P-C7@r@_h{uxOU9ONRQsp_ur0#DX1=BMsfqfc44!IXK49O=Bvw;XQ+dju zw*d(gYSyN{Z!bAo6`kv0*=>!}aK%1cM5HLr3zsPmEl(E=hcPhF(e57VHuM_hkT&_6 zq23h$xC3}JY_fz3&y~hezVaK|w4Y3vCENkKRm21FeF75Ft(!v~rCtHwF?QwKbPhEZ zL*~_x9`GDkOxt&Qq$7^PG?CUAcD6}+jK@h9R>h$7K)N0@y92EZz9rjjW=CCIm()j= z_n3BfFur43WW~s;xFK{5O|nyA3I{5k!9&@aJhxLz=z-^A?*t}}UC8e-7gjdnraXlx`ECu9jcp7WrFIUy+G}Dc43Z6u_Otzcrn8zUBnhsA1`X^&xPt4m#hwH} zU&;s;fSnL4fkcRjTZtw=gp8pJB1*7x#sa~bD6iDByfE#?y%m2lo_zoQS#&?rxHS97 z3`YP=dV+tM7*V|?_0y;~vpzlfv~CrOl2_VAO65xPxcVZ7I*+OHR03O5%9>ue3I{V@ zu|VKY1y<7|;^JR1(RZI@xc_Y1Bup^MM_g z^8!3(Q)OQ*H2h>9BVRdAyw97E9w_{Dg@F` z$6M)wkX3_qfN!Uk5kBvDy^7bBh&>-9Q9c1TkPmLqP7r*F5c*M%f4TR6_gC6Bx-jvG?u$jg^62cEN| zxqDfV1*YJ56J=|E^!ZolOTHdYZ|4y`=@n@wMnGfuveE+o9I@loPn9r z`Ta?x21sQ<*n0{Jfq5-+dVae~mN>MjUzVp>$~X8^mS59bQVFgY1H9QUw%N7n$|a(_ z+1qo9i_1UGaf(136ZZD)9FfqqKr@7wm!8!WAlKsq(~dw8th8y9a*_!AGU=izSr%EN zhtbe3sr48r!b)a(Two!U&FWiqkkNEBGJ}=);+nUqhBK`yuOUwKbVK!hYKo@YMajYT z`=y6oq(k{|T*+74z=559*1e>YOUcDGSA1@Xjs5&HRr()mt`=l(`D2f!3DBq@L0BOJ!|*CQW`C$vQq{u(yuFMSXp~)=1NW!6?o6 z>=U;fB9+%6McVdzzPTD|xE}9S&yI}12NMf!{-}aMuJ}`5JbeB5;j4~XB{8MtSkkTw z&aPkPQ#ho_EE>2ILps~iZEYula#*J?5uv()QeYb7s+WdhLD1f0dwldN*M-r)xi1GT zbbFlnAzp9gCLQq&_yZhO^NGOw*tes9nqWLX;hjUvEG{K2>|{}(f;E^NM0a#QDz0N3 zWXaSrRgz?@=G=5X09xq$yJ%^rZ^@$d^{=Z2J>AwXJETAr$rVNpl35shs;>q;8M-ox z;Nr=w-K}q!$-_yN6UAUaa|Dx+5@pU*4x$ai;^r?_2)mRE!ddC#Y`mq3SWRD0L)$}W z#oIa9@nFJ52)j8s_B}x_cJTsH?U*^wE%Q7+FSWOa{X4259E7Je19_mFX#9hym#tyF zdWI~A$d?XV%<4L0Y(F}5qCV;N!XfVo7~un-@Z_;|$*F`>@{R}mO56&W7;mS=RuNcm z5uB}`&Q}UBpzliP3|DnAebee*qW-Knl2)EC3FDTYJTo!5#>|~aH|fM?OL;q9&!dxr zW6r(2c|mJ%GIc0dMX@J<)1d$u&oo7nyQM0w8-jw=H>Q2!&H3-tU?!D1qUM6~n4gqPI~0SIcoXErRn)s`A1e{f9LS>Gll-~Xv&sW+ zlO`}e;tPGfhD#NBbVrI$cVu{V$@_+X9>PzD4ta1N|L2gH`)>YZjRikRTI_dCXQMrH zx0WCX8tiZ;Kid^Rxf|cpyrLbbCji4&b=J~%nq2ASBF(_0hBXb={-+rX2rXYiAM1O4 zpD$(NxwgL++QKfZ%k5ErTGHlA@BS;&G)&^@uOkm>o2MDtNQmTQDoDv$2Q_@9uIG+Z z^=L?Fl7Hx94i1@CYQQN&1sLTnb!z_a;{NJ8hErPm`#j8Wq*e*x%%=UVl)Tq|!prvG6IL!X40Oth0 zOjp~DBGT9S>(IB)pFep0+PLg%U}}{oVOsp=BYo_PMnQUG^2;)}vF{0tql*=MFr?*R zK5*WN`oayUH_f?4ENPd%CcB`Zz&M8?lqGYsTDT=wvht{-7;X~wxzP)e7a#vRFkh9a zYHWlpItb#vm>%MeuRX%xR5A}L;Bmk5lak8~gaoVW^6g&s0N$srG3s@HSFO4E zPem@iJM2oK)izgQ#LEN$tZ>|<4DU28qQO|9p5t@ZpiwT|vSoOT#bH}?Y&##e+mLhvG;a_WHNEdH{I z4cVDb^T8X#3rB}k*y}B^m(VeLW(0cVrUY~Lu#SGN6po0J&u9;~$P$&Mv9g8XV2`Ss ztE6&Z)ygco`Ja=r%Igf1imUo7S2>HZGxms7hnML)!~^8pab`r(mt_#?Aj`(Boy|b) z@igibwzYm@u70Z(x|SSVhc)n2LvKU^cccJg;N%)MQV&!a6|2+CHO+1@y6Zwh0zjFpk^;?sJ=4;v5`5J#?_!J>__0^<1(Y*c zFwgB z0@ctG=V@Qrir^a^z;T04Z(bsi%0n!ZISXzT2B$NNmuYsbXhAWG)6de9)8?Mjzr_Zp z{k79%IF9k7t#EapWOz^$wDSk=-o1-9hwxuIM;Z_+7HoqfR2!Wp$-P&q{jI1V(6j?v zeF1JlQQ2Cv1DG(A1@+f!hMUr>KZBu>Md~7gaWHKv`j$Z+3LERsNCwIpK$u3#DhH^q zDsw>EP|I;GCD{_rM&oNdruCmcQlZ&=qVh(KgPwn4uVDcO27-NMhLswAMj~<^N2jR% z**cas22)mGZvPV+rqN5n4E2}syL7o-DhLs}!?(*dtEhj_PNID3hE=7_g3~oNBHxe_nC7OsHCatEB0mC9rp_GZ{U?f(k8P^ivDVac^5lFrh1!I=Ch|}d@a1bdw-KJe z{kfP(5~>3@bm#vV3dJsm!2wdWpapw3C%<8A^%zidBoXx|?gQ zLd?ZcknP^oBMj>HItMF{-V!~lrEI)HfK!k%O|{pB`B z26~2(TgD+nK<-(7v@3G6oa`6X{BVxWZR$XmSX=p4iR3ml5N5iuikrXrQ7hT0pXwCE zpjT-&0$xyL+P-jbaCB02q@d{*AATrF#$Z{(4}HAP$7Ow(clfzEsz!U4INVpzhz9fw zb(RrvmHG90V0Q^Me4$<18ZKB5FKh%7!gd17LyBwJUi21`gm~bCWx0%}nX&j9(1acU z@c&`%Z9^s5(lsH^IeitccYdhgfXXGj(w&)}ox67C{;sCc`Z(v*>8{$RZtZir&bg=C zCNeWJGipa>WJhG~UAtg|GKk2C3?hig4B~GcmGOr^yy`zeR2UfjH!uvNpeQOTiZFxg z{a9OUkxV?e9|GNnhj+l!ocgxp#k%J1vix`3#%JH0* z9n@IvADr)w6Zcm6L!m9dN4#Az)A-mWoQ#SMJf9(nJD=~&-4(`)f9^?pGUt>pUko18 zUPZ2$a*j1Jy!+8hhxn<}E%Tm)d&E!mw8f2tUWe>=45(_}gAEP)KUiUO~D= zQn~lN6L9=}0OPJ3{4m-A7?&y)ePC}~QLu%r)_z}9Tl)$g#}L_+%yosp-vv(~ zc^ft~N&COda%BJ*)e<=vrUZ))5ticF+~(1Iyi(pN2-g23nk5;=opjX(EW}`Cx9XnN z=dPw#vyh{$ijU@h?!WeL&CRi=p{s z=thd+&|Rl9@{}diR9W$b&I_*PyMm92DLxz~b)*Pw#~*rwWTa8|YG%$2{%8z@Gj=i4 zqw_Q^YWlcJGsqS!N^BSVc>|$`AO#hDQ?+jm>L{7`H3|@e&acWW(ZC^=!gvr3ZQ=t5 z+~GLA+5_l#A|>IR0V9={O_U3(cYc}?bab^LO)KlWo0qe6ZC)vUwr5^G^|JqKA2*Rv z166}o{{<&w7m6L90oJ@l;BH{DK@T=aw!&_h>6Q3D4JGIj|5gSJfCV>e{g*zrV8p>< zBymH`(-{bxHVL@HnYR{nI93vjX&_n4)6dPVZ*rY^ud<+8#B;3dvSb;9;*ZXPXCuHg zOmQ#%a!H#Vdg3EE6CGKy7tbHlwG7CVHY|OPex|y|bgWrL_t=k%H3~|uHOkVdQ|3&) z%lIRz*FE6oy5J{eWsfyl;wo>WnuY{64|Aegn1P;uAf23~$qZ|H?*8;6SMpeR{d&QW zIhckhUe{+rt5Sys7=-PCd{NIBP% z(Zt~}(F^72FP}bmoNf9=eA{czIKKyx;_pbiMQ%@9rCWrjWk?nMk~Csf^uzT(>D-5g z&|EH<2<;~1aK_^Pz=TLOI0Y2 zV7L#y(ubWt$Cx+p6CWC*&G$+mGBjCGz>dd2lBlk)V{PM)i~MHN${k&^=%#o`wVSD- z=o}mz95ja{=w8VEl3b!b(foPzX0rr_@XWRQ4-7Q>1Xn6aij?jq@;W1R)f+w!rfip65 zLi&|MPY{ZB`L%s^<(v!h)NvhKKd%GVFbbm4sc7~da!=9NbsHFz$#`n*H#`6jfYc?( z1g~=!h9|DOFwpJ-L;}kEEsG|(&OtJ%x&~_J1V?yHXUE-tSE;<-!mVL38Td>qwC=GD zCccT67&$#0Y^T?tR0UUXayNXra*6cO)svM=GHf8LU0u)Mi%KouL*1~h!mHebu{87* zd(EWo2u(ZK!rBqKL(@^~`)Wz@;c|TIN7*SWgdcj-0|`&s@1T|7?)HI*K4@AsxVUfP zvG2+EF+4@84^5wPm;cC5Hq>Mo+IdGivCqiu7ov0+Sj9p(_h2`<1p`{DGaStkdGYvB zSP`Ug!6S@Yxc2IFbj>!car`PqqREaq1Pvsc6hBCNKtF?J&bk_%ZocjzEI>%V8w6!^ zh83p=ClOwz$+*=i;4-o}M6oRUqnEFtICUzf#3bxh-r@?i%dVy<4zWl^4h2S=LF(V| znr=T(^TSp{)mPiWLX^7PZ9@4cI}cU=uGL8SVkeChx!Vg#9R<&nWmO2MmheAcWl4Re z$SY}xnzsM|#OYdwV6iJ~PJL5teD@1V^GHm7kV6Mq1-YQRFwYwXa`EhWE6Lm1=rTsw zja8_XU{EjC&^ zX%49g(k??wj?^)G^)F-xPtQI)c=`pm_kdb^0B!ZE?;)#hE;*+iEJ*p)=HOs@qO5^6 z{3|)i-l%)IQr1+KmCDO5ui_ju=YLpkYKNrA=iJA(dAqw?8x+hPyO@Qr2SPhiJw6CjW_U}<}T^Nd9fx=CU+Oc_-?~tgg zB(r?hVn!O7=#@tmB{~f=0r6Dh_B(+wb!J!e5g71SNwUHZ$0PcXq#czDKfdaf1hvYVWx>kf>drUI_&QEAG)bXk*b!YuP0LCb&bKgd&`<8ac+r3Qv>KZ` zJ?jq+`iI*6tJAi`Ljhh|@9;@0XHWC;y6b-IL*{R*9O|JuJwFSx1BkF8M*`f)>XmaL zf|Ab4ZEYN5W|w}{2nb}bp$m1HCPfh!X>@$7ktoS>#^uwW;lIqL5NjN_N!O+&rY!Yp z%u-y!1j1ON+OC^A9_}AU*^xDM@NfE&(-tcu9`(n!S&HsA4XUmJi`r;{7`Z&^4ljPd zTJmAq-D#F1jmF*I_^4jgVJ%Iwpsd56fwPn-#101z^sYu{0d_;y|AX^wvoOqH@(%2Y z1*W9_0ch^1Nt?9PiU80~yu77U4wZPqouC4tnHnbQjTY~G3grCF&0?}d&1|@Pxc7{QSm;xSHuSXPR#&=_kZ|-Lq zCg$PQ<4;2rAKzRm*9~&QC zYz-ed;-0!UD6O5anuF{@R9s@?ROqJZCBzrFwUC`$JBNOdR_ED1(+%icn_>Tg<54E) z9AG1J)@hm1j-G&ILd&*D)>v(=hNb4oJY_W?k_cGjV>p7xKpZv!EZx6SvCS)KF@#1E zq<>pELrs*xvvcZ-kADjkaYT?~!`1eXHX00BIwdS&QkFq&B>1%m4imH3L(M9Nf|#0| z%r!O#4-XFZPtH#2>E_2`Eh=;W!X5y;f>5z}l_m7Uw+71|s=3uyw6L%`Hf2>$T zsxuyDxowh9+8yLaGmcMnhfN{4nKY5~Ob&zVGh2WsKue2;TjhRQxT84fjqz=o-x zXyQ+&n!)kIMZDQ!m@qkvR^k8fQIlu*2)P{Kxt108zNVm6Xt4Zk7N@+0sUsa?N5PY0wHIWUJJI zo9(JL(iE-_M(LFeL-+55=lA&Mh|$IduqLGEBQrUE-jHT7FS1$(qXa^k3or`R=f7RN znKLBwJCYkxwolZBl8be|Tqb2DtpK$YGqnoTroBOCEA<14k!|33>)4txt?q6VDED~^M^^U>Tk7fya zpPI$N`T3xKJ`CeQ>*-X&WJ%cYHbw8j`59O)=Lc2w$l&Thqm%ys0o8UEYxCeYpC+#YqrT^e7rL2lHi%b$@ zD-6kpAX(z?Tx}l)m);0UBCdJ|ne^-EdxXT{?|!YG#P4^ zbfTYukqn?C_$M?@WmpVQ(vf_PV5;{wFh1D`KJs0S?}e|S#`-;7{A=NEWHD1T#o44t zCqRcWJXYiXsZFp_8$me;KvzL@Er|Ac*^KVlHdek&4pyBy*UDneKzpit{NA1sT52|0 znBS_cMEga9v%}LtXA4kJKz3YEU}Y`i8;oYt$&W~-F)ppVf?LU3HI~&K=8GJ{V-6;h z(^05YW2R_uto5gt`t?;a4-Cl^+#~7~TVbrW&2@AWsjX2pGB_U$ajzK;O~!McBmiqb zu9Ss9%iBS9Fj9^qktr*wP6p2GqyFRm6NAq)j9q)tV|pK+*mK8&Sb=zidc*fHriTB( zpmGtX8PlgG84~^>{!@)8vw+{D{z=~im@`QBYKK_Zs)1dQ#l9%t&oN7T%T!(!)L7TU zwv00Yu9-trfjd0ZL4KKO3@61XxdYhSc$|X2QGs6AHjJfj#%qgo;!=74@TT76#g(pB zN1t3%hgm1Ru<|=d!=q17D^(+UfHd4_lV&mxJz(AjwV+OEU1^mRV2`IBCZ?X?K6^lSW>;R*L1ImDC_Cj^7L5JdxFGvzuyE#slPUZo7US zYDL8M$Zl@OWD~ypGfBy&Y0{2sh02LU?Y`|g^lQ5+rt2_E(_I5YC(gPg55o_98V($F zEeOVq@(l<3L)*U1tLYBHL?65KFgV#iui!$zp)A@LBJ zz&$6`K?Ly<*UXAk3w$D;Q~-l1V<{jtsiC+CATno1DR^e?{_x{guWd6r#ynV4zh{%9 zjewbWJhbg9>=0%d|$}#e@ zFRA?t8XO` zZ0s`#Bs7ByVDOew|ELqlEHSu3Xme3nir=DJP4gIo26fD2%}|wq5~+$kN`p8_X0#|DFA(|oX-}LeZZoj zHveR0y$jPmekrMv@H&0};chYRZB2%{iB|21{=tWB(?4Dpbz`-)tL<2=h=n>RFf5P$ zgf~Cv5Xl5ecre%~u`X?pbydCHCc#pWSmUkG`;sG6W5OS)4|1)8>X;)?{=(f?>R-lr zX3w_a@x$R!&knNoq?n%Y-#Bv{MH7ayBU*4Px%AW7i=@vyn_!B zTQozT4i5KE&b3(1gdWl(uTIcWlEAC*Jq5_NPy;GJo#M(7bhY0;j1cOVX$0Jyno&!w z$Qiqj?#-9&?4+>$7p%?!N=CDdVpRBj1IGIxH?RX0wr(4MgQDT)W-MWAwIQTqZQar` zkF0GK7!^{u>udD1O*VK?-Xt-e5V+8a4Xz+%`fQtk=*Q64YcQvh0$zl8mNaUUd+XId zUAYyt|1L&(7IlBzt1Yvm3*idwD{tqEF}2TYs(Wq_`3aMReHelm&w#F>HaXhI;NA|@ zCf1HUKZk03G7tyYfig2rOe#k0GJ}XZRG$y%^OoE(W)5%S+ubJc!%@Vvn!vOD^ZQQU z@##IMFYG}n3n4}{IDp*IT-faWaR07hdTJ&0mEDDxyMgfH_BMZAeX z9bbP;_QYI<2Ftlip%NR!pKf7I^$2vd48kG5Tvloix?}Hpe5KDAzC@5qWF*m zjVYe*#=UJ65{Ei#Q6XNq_#n%Rktj0wqY-D4@uhl$ZYAg%>Zs}?Ledf{H_CZ^E7?rY z_W1pl#|41Rocjx{l<=ug;qTb8pE-9^b07@%Py7w7&1QCr$(;|t8dk@RQq>C%Z}jHl z4>u=g`)Bu=lH-$BQ&P+7EB14rg4!hq3&FqS?%j6ZZs5mS*lp9@q3ia|p{DXWApxAn zOzmjSW96RsB7T;E$qxnY&JiHX?yJ1a>f5v+I$0C9OhGQKPX(pwaa){=$NW%RR#~a0 zln2?Q<{%p$!hX5dCydDtkJR&_QiEH|A!%zv<+pnrix_dFbPn4z{*SuM_EaDTviY35 z$#1fTZsfOqH*rCQXMPXxd6vwgQIW(~9jTnf`LH?!qV5$h?$gDpKT@$HX8nJaAWW4o zwGF^D#0&#yUF}^NjHRbFgb8>*)1)z%m6TB5iYVL0+KTcV*J|pPXEdcK^woTgltNu5H|u=a+p9tt=}sUxK3Tx}Ul)`U zphj$3|4j}Y5#bP&N#pZlp=-AtC(G1$-B3txc%GNwSX9tk&{^ZUDiqe}Y@X zI#*|3QKV%~Y%mvU3=gAc=$z2bloSii@S;|s+V|)&b}B3`uu>tost=O8?;Ls2S2bDY zZ$A6{QS@Z9!hI1<(}GmO!kX@t!c0# zE49|ZncG2XbbHHp|9snWv|3$~-NbSNia4h`!9~R^2XUcYjRyr^nOGMcwmIwm*9`0? zItN_n**2azp9-zEmP}uf7Ph7suj6C5<~_SguAxd2aV3EByB~Ox5Ct^=%D5Qk@cyaY ze=s~dYFka#0z8Q-%S560k8I@zZDco$H#11240oacHXO4?^vdyKNi5R|S_aDgUghJf zG!ZO@U)5C~9*d|8%!pYcDRS8&Y0ym4XcDB@droS7DCelev`+x98d@U|Vo`q$Anaq% zwJqs{T^F^jN)o(BFtOeM_o^j^mT%JlJK?=LAyDn#`S_mkn>q%y4-&*_!&|;)LBcs7aCTb9X0~#-?-)*RMZVrL zk{&ob21Acz{hz})CCTI2TxOHX21zP5kIl+=Tsl(RCga+s5j_Yar190gMKq!pBK$)k zX=HFAcp@Hno8?%Ubq<(q1e7qu!GVL*v92vZ9Y61@?|YmM(!BK>hKP2!+3+S+N+9RNFLCp zRJ%ZOL(nu}D1e-=YaxEKf4Ofi@?=Zuz;4`9z0iopyj5jIj6qI;|4S^R+Y3`QX&_vM z?0ayyhjK>v4*lN8PNDKeQw5Z$QVtcM6+zqIBRs7qHjsIbM-q(aa*=vOecZfJBeMj1 zX##=08~T6(d^cDv(aHEja69p{VD<8o=E~(3QGk}TqZeVy(Nt5>)mAk3>PSa1PEd1X zX7M%cLTbm71u9kZQSd=NDp4qE zE+l|~AX|u9YX00uZ z`({Zsx)%Y$>3PmrVpz(vSlO5B=;!$y%fErSDG4!>QInw*#Uzc#1+XXKJXE=8tM9Y0MWT_GWj+D?`LAmF6E z2MK^v&R1;_D+KBNMQLQX+-m_an)MC%2u?pTOQ(^0W9;;f^W`|1?07%?TL2$70Fhk@ z3lmce_qiW^&gJr49;=I#2vC~LD6_(}ms*in9ycMLNJ|JgJUMLx#`r)|*vO4 zqL#$J6)vKH>Zq{Up#xqd6Cs7a(adPo{@3$#mjHpu3d@hS*+})^*d~n-`b(F ztkoNeVGvOr@SHz~bXQ*7?zvzSU~U=RV%YQ-kD0Mk83lPX+LY3w{qn(A@DZV@r((Ik zeDWn@|EPVm3GrWUHN9^X+Kq*^HOuIGKzIN_1>Ui&)0s>P2%(=H=tB7GJXNVUuAC{pk6(tl1=*X)!9{nGYyun#fW!T#X%_*$o7CM$kl3OL`NA_;f&QvJGc zpUI87H#Li|HA@gcNpK};DrNeJn2E6*evOsyCJJs|vGD3PnWAxjG>fCb(TPn^SPp1j zyTIh*azh8D1_R{KOLc(blNkRX2s}rZ=^^2WyH{c<_;l7VM z447{CuHV-H4mH!>3WkA&THs|l!}qaUx=ALB6iOC%790{!^~ zDK)$iM}{{9I0@VZL;Mj1L|tuQ`r^r>M-H0VfnbL#RF~s8=5YhvF-B4TNjyi;nkD9` z-)?}Er|6rQv0f;YK~Oi(yK+3ahBM62RXIQ8LGw!bYy%t&>h7P+)mlkl^#a<>AqlAz zDp2U%wIB+UGcg2MbeSn}zR78f{*!*Bp6Fv8z<#7Lof2Uos_P!>?_1r|YV)(_sG<77ybMzC3 zok}tc9-5Zn(YLfwzT(!bSZB`aJeVF64(PI}_69V@^34b!I(%(il*-5zDIYXZy9Yp( zu@tBDOD-$vE@#DrFVlD$fZI~X0kL>5k44xJo4UFF)kYn&qjemu)FwQ?N}{WHt$aJ> z*_EJByI!VOk`6RDPB9vz$xVnQdcz@Chp%@CX@TXJFvp0IEcM|R{taVXoGjc?r1NhE zgniOKa+N(wmaaSL4?F=4^$ol$|14TNS*|9{RCBScA$%AJTmm*e1{%WVLas>~tHrgj z5oP>Sy@q;A;)vo-jUs!X%ylss2GHT_g2|P)wyBRHO~n_}zsN*u&VCNgk52{T9uKJ| z&*IW8Cd4}!lEbVYX+;oI@Kc%-*2IGx_DUUy+t!7R=1`z!ymb!F5dR7Mr)ZA+X`{5C zlOJaavw9r|9kH^8z6075QVv0=p3|8|>}{P?+R@E)YNjY5Ge>516+hbsj|oATKS^R> zT#vfSFkXR}M{`mk>aH{>Q=Bk1o(3;)pHjIk23eycuCYA0Vws{eU!-V#nX1>}(T?La z0$S#Pny1D45B8-tba0s7`T>3|JK{m~X*Aqr)OY_lWhK*u_dr5i$Ycm}Vbz8{JHtZ? z1CkF`EI>614o$5rOMk&Dn!bg%(1j3JK{qWc$&Iz@&;YP)VPA_XD0u}*_eoNLmsnmY+`+Zm&265sX-u#Y>7hk-qcG>UI{aBvt7*wqK?G@r19 z>N-)oImH8LXrH|>>J3bJ;+hbaNI8CQ)bRUO>BQ=m zitO8F6su#VNTV*iVnxr3PhZEN-m*sETxWw7Qfb;TXf%G}tVsAOS7#Y5ezINlAhaB$ zal7d$%5^~Xek^il*QB^fr+AUn`_yLHal-rHJ^e)DHW!Oc^b=*YmGebfNFhXE4UF-O z=q_%0GC~9$&XQ%q?9=8tYveB1wQP*DnDb9BUhAj^pzo+84!rygftt0Zo%p)?Sfg%L zy9m}=vYp{7_QZ1AX(GY8jKf7Ney-YLR2OYAe%*)Ov52``pLKS&8!$Sj=C3_x^>rcis9@cU*6*D$q&cgfs>WIir>XobBJt;(l9mi z3uV3p0}{};W@oS?^CNJzJQrv3%+*m>w9dP(z>}y}fUm`$boXtGJiO8c6o=3I&}2z2 z9Q$=tYObp%Rz0iqRK?n z$&ha^yoxWE)Bsjdj-Unc2;^^=$;7A>=tlM;a&Hj|L5N>bhO>uH=b@B4?MO90xN;C- z5b5xtQG}&0(1SY<2s67R9CdokRh{GeX);#|3aHbq%~3(ThkrE%@;vf-QRa4srxkMw z<$YN)*-hwi&%t`=EduvOY}pdsNqS-qO0xeUxs@UIS0;_T%5h}1m|M^pe;OT0$+aVM zvl#bQqpcl4^@zS91>105`L*(QsN$Qze0nc!UI)i`*JpA|pBPbvA0+becz*jdbk zCd7OYG+rGt;XHTm=PAP9XJNH)2i6UnXWtbNSA&lb z@i91J{N*wiop-DaXm|cGL<2LHqSL2NC2Hx=#Vw5*uTg7pZP*K2AL}PPphi_h*xdsD z8cmAJW~GQQF|nf%adN8v=kyR{B2G`C@-#3(=t1#}&?J?<{n;dt5iH~o`<@y#nTVol z1K>_SgU4pR3=XYc)#8QPOLGb_RKBl@PV5=&3h;>cYFA0T0&fmtwVsqoBuxb3yQx>W zvAl`vH_TfI>T~KPTEw$uo~1GHIA157`g>l1{VpOt1*$Qqz2!ENIJuhlOo}D((gp7l z3h}Ufe4*L?LhZ6+Vb`wT=-nUu$j5azg1PU@c0pk1I+{mW%dfVB`>B4q1bK$C#M!H7 zg5gQCDhrug-hm-7wkaLbWC1$TB~YC#`W|EMqk%@9IyBXwIk6j2E|C5 zhQgP%9?2uRzIGtoUK798*BC^u<=ASI%YtF<%&der^O`W0&pnLgA)L5J=V%c8A(3V3 zA|bEPqgFLIb^`kvD9Q5*wt-sU(d8yB%Pmk4+Twyrn73mj;*(wncGF4{M454;RBeyr z!ezGYplo@j$PmOd+hKp|nAa#UY{0I6_cO8^Xab%2N8b8vOPkGc{{ zZGracvJ_$lv+Z1_8aaQjaRq-I9uz8LuB~VxTf3z?=U`jfuE<0e-gBVgUpI^tuQx+A z#w(u09gs^_f9Q_LxyNkImYX1X_pNt;m&xG=eiwB|NGJ;N9(OfT<^C!v)Jt7#o7ubX zDXOe)TykkvxD~kG+rAy9_jNV#wI89F9?VPWXcct^=h4rUDXOa@o})?!lP(kE$d$-A&x&CD{OiIGb| zu1@p#`N4xDOr=yWUw+X8T|{-T01EzNNz;n=<2AQ*sBjm_M1cRB@}u^=v!EV6B|11u zwrWG~?W{#AIFo{54kv}86VdD@Zr`YsS23w@cf*HtZ%#l~H}0}>q?riRnI`DtwvCL6 zeEBY^G(sP@Z6uIVF)eWuU6xIR8{FeD?&Z;e=$=!edBU6@N!4z=9o-r^EE7UGD7C+ChD$0N>J_5s|BIk-lhw+8u+o%W%*{k+Mul)3y=k0 zf(7o%BY63u=T8#;`ZrgvAyN+ig03DwPaT83KRt@NgM$HletdFpP-n$MX+ML4u3i)K zIPFf+Tv_7@4HIs~+@P}30a@K$E*fr+FWULW=y$)lSopUyI6Y7w9S!U6gh`!Nq!Z5)II@(Y#4Zc11d{zR~@Tpz%z0M zw>|I4`D6@EJ8FrBXUx+AZ{8d{6xG**xrSIE69ByQl#j%%Mx-YpK*htb*H-wuK+XF% z7)R|x9;~I8|M)W!ga$o%^NS zpCe(QEf2JJ05y4ipM94~6U-?K`D0SxKrJ++%-+hd%!37Ym9JtZ3F$8sRrH72>)cT#i~q>U>>$scyThz8E08yw>geHHPqCJP+ zw25y|U#RW&pr(LHw;>$Wvh5{{SjT5PmeNLGQFTSd}>f@_t&mmsidG;jwWx9@|XP6T`DgpJ_y?p&y|BwhwKl!ANZ!PvX4eOZJ z4*Lg3(Mz>eCTS5z&(m4Fy}W$0p5@SrdO#cFiOTSRrs^kXv{OKYAGrp)WiXwpMDI5{~VOfXP$*} z_QBbvL=e`hjOnQIo@LSY8M(8-%}b3hcP8XmAXTfwFu-S|hqePYRcko#WZd;a1;Gnh zG83?sUZntDpG058r7{lIb@q~}1%|YH(PT+KOdwu0-x065qv z4AA&iV}FR^5UIl$siLrFKpR`}S%ZbLu?h3i#px`169e;PzJkYBB?tzZ%5{Eqn*(t; zT)BJYvf1ah2RVhZ6MQt)-bE$H8>5gxqVG_S2LmSMEO)sA@N}(iG2Uu z-w!X#W(DrfuQtQM`7pu)BKqUdg$^3ih_1&9Y`j?Qmr(CZXCs#sC2z3?SRNoY)5c#i zo9kZmWUgGsGO-mTX76@7AT#T;K?-{nEyNtSjtQ^~(otAc>hiahbrw6Ce zyEzW@40cQeP`v+0zov%lQ2#`2$oC)Wu^Q^}=}{70L2>;!LCU@lG0xY}j2-1K-e*2f z)F97>C(6p#)2UNn??28L+>#yY7wL-&qa`FktU~Gi$N3pFBj$7S9)moB zK~AQV=q=3W^c-pitf{BC<^Dtb9GbCXe4gHa zhy$3#!SO)($~eYxl*LycV2ICED|UoWH}@Fg-Jj=LF$w~HdHGdzI5;`!4=sbk<0Oj< z<-n`M*V9fcHzUotRViZ8E*g<uGcp`vgk5g?i_}0^?WI&AHA;Hw ze`ZVN*R960CAxBA#HN1CMGMig z$z})}tg~B_24e@y%nlVwQaB$11`ujWL3iZtA8w@nfGWsNX;^ZhYJ4-w7-g^xASmlX zopMlUwOZlH?kJ3KLMkJouoG^a+=Du*>i8-y<3)@rrfLGzzq->jTl6ddh%ERgV0Vkc zKtyS{w~N<`rpIZ2nnJBJ5bFXHVmeJMP2GB9C98E|9)9ZHZoofHv2MP@vpXRtbh9F- zzhjDswvF0ijZtAIpC)BVvj>9e2J)us{q=2W=_wGsERtkNYFX$&EOj;ExT--;u$PdY zs;rM=FHfKy3Cv-l?-==ArwoWaUC&#^ClQrfk(w6qE<1*nwTgwWmh3o?Rp*bxu3SYY zAwpPD2la;(;4P~FV=sY4yJ8buye10Hy$6a7>q;Brks2M`>?l#kvldn^%A|v65bCZ) zZwNUyOQIfy%#X++p{{BEo6Dza#r=gw$xl-mW6NPG0-`#cGBCju5leQZyO@EfRt0G- zmJ0sTbHCAbHyy9iGFI+)s%HLn7sXK>@~$v`>R1u%ge5Z1jPu!2&Gp3N$~W3eWkGnB z%ltY`)-cbyZj6FsWhivvRc(B?QHNm`tHw=+Zbk+eNY|@~CrmX1~(FD)>-uJA?DHvmVu#8w@C) zt!zR})k(OVWPnA#`_U%>QU&?+I9#HRYT#MYX+Ah;jKTg0nPzXJNAOC3s`i3|EN#H6 zzxtzOcDq{t>W{eW4;rSkQ&Use_JU_C{=$vF@?b^nLG2JV!G61;0+GX785p-1@m;`# zu3;!sDA=7Z;-$U~ZB^+J>%Rq;0F1j+IvMsRVu2^R>{T~KjC+Ev*Nn1Eict>g;YF_Q z(GJS!5E?bh@MNkvPm!X4FE=J4dIe~mgm4kdeA#~vXH&pOcm}mzH?S&y4#8D*n^G$> zFT#0roFIE@?=Deh=j2U{6`|@LiUmf`rUQO%~U6X2Lw}ri}bBF1-F*K@l>;2R%H{`MsD~(gO>QT zRGZ~EYI>;h-1oRfAZ*RmFLp@SV$^H z0)kgy7+OYe)N&|{?j^j^;a8t))zK&~kfZ@i+GsDsUm=|W8`LeIEE&GAlie)0D#t5%~m|3=KMpVED*^LR9wWT&)XDo+YqYiw$#~66{G`ymW z^ovtsO0hwJzobYOEj7D71NMtz86l7}HkN{YPLA}h^w%!x3Q*O{kgusY&cXS`x^zHD zx|2KhPY;GYPN?bv!I1yfon~ggNa@ah87>?22u^~nEz)?As>OzUIHUYVtp)r`E}EYx;N>Ps++P7a8Qy{A!TAwTDIDqOLZ;4ed|kPy$Sc5FgQqHr z5-Lb<`2Jg436wUda?!;@qbE<{U(t6UvEo6YI_8qLeVQL=Fj8ryR$pn_J>^;U-LSe^ z2$yPgq~%-(c4XPYO&OTcV_B?H3yiyz?ak2u_!gU@Y`BpUAl!( zf9LPf-}&zS4G!+#-{9aL{SDruzroi2?*1<3PwR}2!bX%NlaR0k*qt+~E7mZ8y*vYY zBy({IV5xWm>7FcQh!!t%u#{Mc8Fv$KCoEyKZ+@W3LXYrdk2g3TnzCixLt|KUu<#Id z1uy~)ANCL7)1k%uAF^f-j1ayOA$T2d1Tx8cjq&sc9pl-(#(4IFj`93nV?6&M$4D>w zu49B({0AK4;9g@K{GekT-fN7*A83qsf3RbvuBbZqigvwNNqwcQ-lT(RzMH(rfQf$w z5ea1tRBL1^<+grmOjg|nH0N4W-&T@sP7!X~Hr--ezfHF$w{4p)L!@8;&>WHAHR&Q< zw>r07W$yopVL_0E^w+I2ry#sXH(+E<)_L?L5Kt|R{{`Y?Y&c#*VEBph_LFi8vnniw zvf`z!sCzWv@d7w+XKJ;tT%Mo+Z-kCi%b-8Tsku!%&(!j^25Tt4ZP2joEYyXZIfP1X z6Pdb&ACr|4Mz6oIZr}QPt`+Q6Nes$0m?OjGgp6TKk1cZw765`IKpc~-(h~4sRbDBh zLx@Fj-bTQUN>?u2lHi{Sa*aCaoG>3bH@wwqr_eplWRM$^Bl|%`AU*hM3`W-kxQ&Wj z7$GsbrRD}SCARd17hFM6g-RzTT@|NAR2QP-F>YrOU(~Tsa-GJR!$B!ZYBlCih*E`Q zusO=9=ZvXJMLX^z-jvaGn%rPYYXMzpmPlniid?m*D@Ul!z$B zvpzKKekRuvo8Vnsa;aW2kwmQbDA99D^ICB8?^;*aq<2tpwl5h4SE&OGhNi~MS%_tT zP=j?t9~4+kdSliuJMTcY<9k}>eRewF8{pr`plOWg*y}Xkln?<{zs^XF1YazRpqMiw z$Tw8Rd5LA5(KEU$3bVko|KEPkFjDZ+5ycd05#Z3o0@tDNbX?>{yWWUjgi3`ezwr`U z*es$izx(w58UF;W6v# zegim!aib*>1!UX2cV$~8VbOX%OcwM+}jHrmxJCMG!B4RSE^ zq*%X;x-Xu+<8?Pwp8R-jlUaao(pCXUc463$t^(Zwy&biEhnP8gX+h3ynjp`U+0-5mdjTNoCRPqec_4Q ziN~cou)C_Oygb-Hhe+&j|KRkxRv!#{QB(g*HVG!WoUVW&KgDGjy(D&z1#?Xh*$1rd z&0yW3$meu)4d1?D+KSedCK;fmHAnRq{*Jcj{)YS282{qpJzF`v!s`zx2=HsGhHV|>rN^; ztgl?^6nY{|3%ln*9hl`9Dt*zh0S~rAY`)6j?HE-sp?~~D1a3u9fV4mC2yfWLd5!Uj zC!3W=831cTJ=8hEicmfl+*I*%jE*6qk-uW@?vH%xUg2;_7T=v1e3$ukB5fF0!+I8R zDXZ2l_!=R}f_2ScSRvO#v#;6;2^&N;NUKFAtywl2KFWaF$V)vE_xheMISvw@-+`pl zD>zGvvZL#4rS7<%YZpQQ)x`WW$p85)P^CZ?JXRM?_$w_fA%v-MG%79&^p0rv{yfa`125_@D5b;Tw_ zuZcNXG=j!?)9^goA0=va0>)0#qxQCQZ#zP*&G&l~Z_i1a<{EC+Uh_lWY}h)ouQ8qT ztren`OL$Y83vdu8()_v~1AfJJ^G=02-je|V;s)o3gobJ^ikUIqf@F1}P0#4W#*TI= zNde+kLnx%|MBvRsY?ah;H3$)Pu8rdHRY@k#(==8incyeA#$!8x;?i`T5TktomZ>bog*^9IY0$yG3xHKrK1E zl(pn4(8#}pXGaEx@CNOLXK|L#lnbZEhD*b;`e@KUZN>bP%Jzd#)yjimV``7aWaK>0 zCMHLoPj>8)exchQkwLttrY_41{8tL$qeMgf){r$aJwTw;G{-4h_WAiji}OyWQTK5F zphpMRFFx1#H6H`%ZSRigx(V=+XSBYhCAk@;lNN*0*ICY~7{@f=F})gnz(I}Uq|HR} zW%d*s6;XF+r|EI=frfPVKRO4=OX04@_hx!`HHHH`@3wdYxJ_oW0;1-aO9FQT_I4v9 zV8JLC2H@$!PujvgHSpvj2sdd@@_tbRE@{v3eo+G@X;1I&9W!lyfA^n%EKiu%;$Y#; z{o?cIwLvN;1J7s8(>lY~CZ+u&M@P4mJsm+n`|Lb$=v*|)P1%F&eR1=9^`}qgTXoQU zSE*;uq5;%JX!!M2I=;%MQ`0#TPP2@zw-(byC9FSqcyPe7WfTosV+6F@-9=mYzecv5pPV05_^rQo!*gC#PA@nY z+wi*oyyM6wVzYO@#faO^$!=>xXPn(ehSVF(gt!@S8vGmO>IhB+O|wBC8+q`ic%9@~ znTG2rTjiP59;bHqt0?cNWuB$ihMbpUUEMK-eO~G@^5;4{CW2RlRVxL=g{&b+3XUP?#HyCas0o=B z&VfjLLyWq>!*kqibfN+~3sb3h!Z6EQSIJi@XMma&3gjp@!i# z%-XyzU;=g)^&5dxfwueDxPFIdcDA!0r&FQMXz$@F8i8MQ6~9x9xqCII3aGn(`{Py` zrN}m-dAzrZzzojM&jS4J!3tVxd93y`^}H?V_Y-0#F4Yi_GXZi(Ux3lOj9w+myeA@s z761%vKTs^I>jw%`X-Fd(C1iGh3VIlDcAmXjiep&_;*ovKCi8My;3hU7YWo{dGi z`kK;Y{cp)k&r-@o;70~SB{#l_dRxY@8IFyVZ$q!9qev}RwJm^(8lTZ=X@<}IClK^w z;2ezRJJ>wPA|F2c_=)jqF8SN6fIydvovQhv)e4zeILJWWpo zzKzjTe$M$h`zd>|H0MDBW5R(~Gx-D+y9QrJXocC5wxj*wkF|L1W{Ku*!i_9*Hh*#I z@vJQ$N_jCInZNs=H6z4rwZJ@f&ln2og%SJ^t$HE=`wU@~+RBxpyNXbAP1I1*Lcn?f zXzh)K71K#VCrarOW9SiE$e@;=td5thCpY96be=Q|7g?h&0<>0c+a>mzq*FC8+}B6R zS~*rrG2Tw;(~>c;f;hfN?%DBD;;8d!hl!f;`6GFm)O!B(Tp+$fUYHm-!C(56h>)%r z)qaZH0U1$7gX93&7Xb2L)PVdFyWlBJ;><49TSbXG#Mb6gZ?MKP;Lh<1V(Jj3c=pvf zHp1Lz^sk>q!;@1hE=SoY{5|Vho14U^F@*Qd8u6w}Wa<$=MsCZ%^RH@nyU&1l-0BpP zyxQKuIlc7CF}6D1-azW^qF&m&VVUwoLleaY{@LHGm`0#xR;&aOf70oNW~yd<)Cs=# z{b;kQf!Wi`gPX%V*K(dT3IZgd)vjKG{{y$YbrD<0w}9W^=YeX6I2&yi&Gjr!se+Tt zg*LaNdGqCrN&+-6uZ||tURidqqcTK)QqLGg>Kvz9r(=5JApN)ZudlPcTg#|S7ikt3 z*{xpHVz3McU(T2_8>iZc5jl%Jq%@?S#ETaXFE4cvX9rOs4pv&n&2D!h?}b|`k#TL| zyF7OIE|1r9T3xMKFYC@xbZOp`>yp~{a<(;0lI!>?F_AwWSnxRWHnFE$4loPHat|)r zx_+uGv>9!E8iT0MGrNVE$?gwGR?2Q}Ko@8q4a^z+-~i6JpMTs|VuzuDcJ`HPdC)%} zM30IYYCj|-v{S^(6TXl?$yTb{@Rb4?Bhucas&Eak=~ zmE7<;@isq&==yh>%&nFKl6%~~1Gb4#xov72;R$HH71wA|>_uN16ztmAwI~7UN8g^r z%Xk9#M}0x1O2T$U`AaHoq1+VB59XpJ9Ji`%XQ$j~+gSkcC2}+30e4e(Byf;T!S*q5onmqVGnULyVTETP?ze(Kz5Nj^6L{)Sby7UX<#JPj?gt$l?C0}lqV_FRw zty8XRc_##TXQ>QT2zDbqqN$DM%?2mIJOwo?kIHzSf`|0^M%~fZztka(d9q+q0Z~1L zqZPiWy$Z{|1-l$E8Y~eJ=-+Iea8?aIQMBbh+-{&5ql!ya*+I~m{!YK{dUg0k{$$2G zrf)uI5E7*T@p|OCVT{x+HrwiJ3gh>Lmv@6O5fDOSlYfa4kmY8Q!x*>Y&kI z>d4O0u?h0(-x+?xx5=a~c|Xxw-IyXcbJ)EcTXz3i);pi}w zEvgXdI2ogeQbwWhPm$gXxs$^5mgREJ0fjW|Q#< zW|P8MplV{+RHtpp3-Khli_pz8CSIB+oL%79wtSU50MFK(&m$8a6ImY})-g#udlYcw zjAnAIciqrN-_?07ksI0zCx>w2Y=*wouKHhm)GA9)3g6qAXm!XLpxHXZn~ zY`H~Td5TapX^+>1Fv^8XMOqQJq|%A+WYl$S;kwckqh8L{4YC$*8YbeYA1nC;;^#Gz zI)R^N@v5xbd*M5r?JV(#M*N2E{u~9pQpk?eVzlT^v4f#tlm#k${s@X%u8pf^$kq4f(Ju1+=vW3@`zjY)D+ApA2~wCon53 z;AEm!x0po>5V)yR$8bXsBsT$P0BYj3u(`I&HIODl5+;0t4r?VEs)a0SSpe8nS-aZF zM8znN5}Ib2zDXH5izm_L?I3^`Ysy zCv*1zcYFyJt$0GyM4f}sgxXF6$k6~K`W{Iq{l3Uv0tpfVX@+Wz=o<%G^_}`p|HX^` z)2C4vwynM?ima9_>1|CMYsOMxlOX`dpb5v5(gEXOPKnqj;dXFKE4`*1?`ly(a_aLh zpMDnMUr75fhRbws}jvK##63_zCb6#-(@ibw`HSHJ=K<2V*0kKoVIxCTidiaki#N6c}EHJ>JZd zZUGB@bdhPVRaG_@q*QCM`?>F(y(C+30{#lG)d>60DiQXw^YRDG0Psi^zN^d_fFw=}x}czuf1Lmvzf*<7tUh z1QW-4U|e#(Qgc~gAfwI=zQ)j1h4tSyuLW^&HnwD?i3zgLPNP%EVRDmvQRr4AtV}df zje}4x5_xvtZe$yE{itoAc+YM`6F+s!Jbc{yx6$`Dy!mTcY_(L|8rV6?$SF`#xxoz; z(p1J?)0mict|)4>Ad-7I1FX&@Ephm0?&%tgidj@qCaa33(53@cTz9+~K|zPDc7iOg zmIXSF)HRe9stE!JoiD;W3K6tGs|ZYlw;3JhcvJ? zl(2aacmIyVzJo=#=JaqB?YuQjmX@>*!3=W?2Mo$FB#WGES{>UCFX@(KJ8@Cuw|UeB zt7sS|+xgO=^>mN{>t-IFAiqYq*0`Q>CyJ+Qu0SJO*5%XK{!ARh&^&-4Jb}R}o|a#J z?1GeKb*b;8ON883xbleuS3WUtWy&H|Ft}@3&1m=(TEUv{%OGe&OjVYjM$Lzv5Y8@O zGFYrrlP;px+M%G$GjlTzqB}qXavi4`XnWCufw(q-w1J zByqW#7f=vEc!WuwqiZ&%k}+$}R^b@b+-5yjE6OIXGc~ap`!dME=xO{p_=G*H8H={A zG6h$gkur#(t`MeqLY0wZ2;<@@s0y{K{E%z)Pjw-&Wb3_>E}ascW6$`mlt_{JIsh!> zVD#q;eEldwIOq=!dOpyM2HU|b;bNl}?k%i3=l6{AgD`=z&i^Ed;Q@az*oOfE-St1- z%0eZoX)Iw#0~^)M9MW22!<@$zElqhStNnLP0g;nkh^b&qmYm9oUe{2CbZ^w_r?&OI zC{zDvQq+VvcMb<;5{ojYEE*tAT_+SBY7Qa}MP*xN+UPY=a|FiRz;s(faO)gV*0Vbn zM#2Z9wECMNDaJ~`qlEW0fdCz|Dio2H;H)nb-KY(JGnokIHVWP=p2R`Fc}tC=Wv_K2`Q#j zDeGpF733SBY(DF486961eev|AFXZ(hMzLD0wvC{^=O~`M*_4{IV6`cfA6$}Oc|)h5 z+79nKJc>)Xh(PiU_2)LgBF82d_@Ca7)z*Oqd{~Oxig*1(64>r`Upukce&GB1U2@gl z2hCBp_vEWA+0I;xq*OjfZP3;A`7y{H`DO`^b@DL6!mL;M4YEwX#ho~SG1|(qtIVUY zmOaQfsFy4H3SxP9m9EOylEq*zpe_1};%fW}1Gw=QMpHdq2KYLPHCd~DNUrfzpiSGX za6ULc9bi4#DRYkv@vpOE4XK7BC5*PfC>nonc5;1pj^#7dL0&Ho$5J&E|K*4++H=r! zCBJD7I#%-2$DTQ1VnWN8Yh@eq{oP<=>!eq!t0j#ZgW9IN8616WP=^1&CoNND!b;qk zue7qDYplhX>_v_RORK4FJM-vEopq@b>)q--Y~dWW&K#`Yuzkg+}Ntw zk6lCbmuM+h9`t$_DSFw>F4l9Hh|agAP3w2RHWkXzAdG&4#FC9$>#$)Qee>Dpk5FZD z6|;<4+v9XLGX-acG}B$1Sdr&ao_jkvt8w^Z9P2QE0B?^KIrQH{^NvNs(4BLx>x16< zK+UDPx1a?lO-x{D3-kWf6UjI#79iN220o0zG6Oh;w9SY=3(8S3ZK zeB0Q~B2JeWKZA?nu)>$F#iZ%i--3a$}KeQS6+vIbCphGl>b3zZJl=&9e+A_zDWV~=D-(&a)>6$2uoACLBiufeb~ zMD5ZXzVs2z$d6WY+OcW&fpmb2&GOz_z)s%bhfxC#Bg6G~%|xqQc;MR{27zStf$bB# zsMQ8`vqtL3Tfo{w%kU>;7#iVV6T`{{r_VSpa*zR6R$5l(^JVlC)yi7gf5{q!0h27# z+@j5D!UjdA9}?YXoFeMpHF7F@7NhIRRg6iIX|6#h4(X{Oa~>W>#OPVCHT+165e6$- z>NJOS!pFA9A}DJDXA39@aH9ga1hT|`Kw08iAC& zvqB}$y}Aq{&)x_<*txPF;?B-hL_9IeTHCCV; zjX@(f&QX+Jb1+)1wtwssUm+?j%Z&x9@Fesd`_QES@yiZ43Jhsea}8<3ArXmo=tu0d z;UNW}1={)q^IktXID)kDi?~n*j50KjG=C>57J%sM7FJ6#h)^HLZ8PMwi#*CB)!;9;swdGsb3%S;kjC2ChAK~Hm`?H-?5J1O9# zm?gJrp{Hf&>ME}DX?v$V)e;2|E5l|fL%iL#Iv5q^cpn19qo#%L&z&$|*Y zui(*G7^rqZZWqhgR-=jv=IxaG{M)8{BVY|1VKzbLT*Eo5k<9ll~Yc+NYX>w%Q7ra#b?gE>h7lCPqhE{TGvh ze6W?omK&yNh}uAqL@p@cp_v2-wNU723)H~ILgG8TObVWtAuMZ)13P*%Go8MmU<_|>ZUjVoV z0~7W)l9o>LZA(3g4yiQU&fOn=EDM-17GWLy!VntfwrI0cB%D>{AcpV9;v+#m4l!pb zlUQ9iI_YZQOYjb$2cVjxC;4(q; z{U3hfgPx5!<`a2A>L_2$V>RS)vcVcjDFH%(yG>!2VX0QYDsh)rx*S0HhX*d;c%7xc zW}U{Rtog{t>mte5YFLK$>l)m%nFBjpBoiXs+7!T5f|(4e%#-I;@Lnu;9C7U-HJtT5 zbM>fl#DXlbxN?QGG|EE;^&vD^(&d!h=LhNuPqSG0ZM1*zRhsm1!zr!F0^lj@!n=d@ zJfFz#6R`#Z<96OFSB}lj`!&4->a{Imb)@7Q3N^;$zez*dyKnr3TH5Ja87vS>UcRB5 zG*3ZUO4sSS$nmc6kL#SAPR;azp`o|X2)r+l99dqcMZToBr(>G{y})>s7s%h)ry^MJ zDj@N~Q_LN7Flrh{neyKu9$Cy{HC2mBULY#fkvFH2(o;~wT;|XW{|!TZtoCat40f|< z^eWu?dP;$Z08t`LYGT@fm!R&i+cD1{L140Ty-q=-*ZHDTdnb3N738>&462nfZZ7uS z2`LohxvfSW#oLPt$b%CEgq`iGfV`txmMe=4W++v0`7Br_E3M;v>@oyjqKp*{!-|#_ z)~t#+dvlf|iw?1v>+rpm(`%pc-CzC(F)UQ%GDK&6|DVU#YM)OQz>=r7geyQC@x`s; zb2rJTn5+QPP~@Xr=UP%_T$c8H$*1d^7=`Web5eYxG84Vcai2EiwaTDTh*c`uhV@_NWHB&c~LKm1|MPM$HYsrTxUF<(vsArlY8Py&N;o;V&R-=C|Rts{FZk%Ky{$W<6!|nOp(n-`ZsUg&Yi)q z7by!p(;9n0N8OjpYX+%l;A+9?M0KkiFCSE~?0=!~BC4%xrTwF!nUu}k`gF_oN zfHYxVs0ZG8D+>Nb*c`h}DQ`h_{m~U4sz3FbMBDqcR|R`R^*(b+r+x1xM9vJ5r8@}z zeIW8BKQQWSi@nb*Hb`ZV>W~G(55fo$nwn59N+ADvVn!6CS zZE!wX&f@U>;=Q>Sx4J{U7m>6(v)$Hr<6rrnvj`RgQ+rbNUbt6;mpa$JXTNGQQO&mN z*SYpR`<*Ipi-@|X{w^W=buNQC!m$z1d*2(+($y%3O?CSy?6vsR^$%)a>1x}ZT}C#K z*9~Iz90yI?Ud)M|EtzZMa4J`orBK zL!BF03df*Q4UxJqQ5ioSux*$tI6FHip)OZ~ufAm_N{TEyd3MqU1 z1^Ictv*!C|+aP3Ez~s?>R0PI->JQ~x&e|}45Jp1XV@vLjE6|7lfEQ1e9WBC%x5>EU`unTO;6q3-7 z7V7l8(ifHi8ZcpVR%srVUIT#`I32fwF2PB2dyETuyd_mf>hg0zN)~EGu*A94&bB$t z;2_&W>j5`yR8mOH-|n(7<+!U@JrrV9)R%g{G+YMS?-PK(PlzK`Cj2RnU(v~}1Xx26 z1W0T_y%e+umcFtW3)sPN571;kz={d0Zb3=HYU+e8DAy_AOvboas}v@9Q)x-VZ4Qi4 zd#Q3$vuh#2pl6W24xGl&x}k-^h<0FBwy=yX;lUtcRLe4Z@Cxs)`4J*ovzNr`>PoXTt`1gY*|3=Sx->gF>wYO3YkQs`XN>jCjyd5 zKY|a!kBCQ5eZ`|MaT?%WoR0U*G*Q%7y$1hgB_=DOE*80+qY5oJ3yoNItDqB zmgZeWY)y<*zG@YH2VW6awfM%c7pc|;CsFr|n(G-ECa;)4v$aD(0O~J+i@-F1HY%Ac z)x9ppV>NZl_?T9;& z_NT_%n?1A|yOzJyA?zv;&&|+dp;o7irwOH^^h?|Mqq~2(a4BMwGmq_WhM3i40v5Aie_qBRwUjjDu%IaR#?RWeFe>upyTomQK5N^8Cv7hT zM_c^S{+O4%AiVL+n^p6i@qeRP=iE^Te%VdM^!6V0+ogYfU}=@Lxwj* z5bbLffV+Rc;r%M4acZf~9!R($)aWvSJW}8{=mj<6Zbxycyj?^yN>za>`le#J(GKr?%$7A_3pp@$i*#%`EQK~sg_7c z%Pr=#)HSUk_vP`vRtQjSLifD3vN;DWmH2IA-)9VC(0-(oFg4|Bti)R*t1FYP}T41w7 zYv|Jy`PEQ85uBNWLwtDHOF;p11CShKMlLoP!XFtWPJ8}C7QLzAOEREgR(dEBokvUQ z<_NHK{0Pt#x4l2K_UKn-3{kK;C) zr&*@M3|o1qTv8NXs5M42)n)4Uq}PszNl%&rzqs=GTq+>4IS_M($B_ZFTuN0B>E7vYll1LqKrt z)+$bmvayC18KkS_vl8*=`ltbQF5WOipUtOz6@IQuvv!yeUwwWnzn*0|v$QxE+>0gq z!%P*FoAw>m*bRtud!54Q|l?DxC1%U?9k7Mak9&gi*i|5;2u7BuT?!CTMu5-;uf-TD z6=~j0sv#CvU|y&3YNZcSI0uNi1v?lUCVlsyl5+}fA#4uFHgt`Q(YlK_>1L`{qM<#r z$XvPSJgKD(=WeEIzU;7pj;Ev9NLa7;64(|9{iPbJl-|Y4SXjGrqbZ>g;isRPj6Ya; z<;1-RG9_@+u`*uN(^$u|9E@_@mok?AQFa5g)S^nAR9tO&yvgcV^m--dNyky?Wa~8V zyUD{156&jP)hf*e1q0O~J%2}T%OuSs`>}Sk{bAJA6eP1)t%dcwsQcpCyPnB6;ovN! z@(Fx|09Q{=NG6@=^2S5OKd+(Pz339Tya}sStRi#-Kbs=T{hEN#q@oT56*c#96N6ND z_jS*$P`c#dc`vb3Ebz3`gK3k<;-QF!u;Nf0bya z4Rr#3o=mW^|B1vRmiTAN3do;7dD4?jLp%H`srB|xRnI}cTsmIQfh;5>HPCz-@(*ic zI=bO%&R8F2IAJw;;^k~}n;^?pw3=@qDBZnI6V3?yR@vdRa=xKG9gY;E7{#}tuh6y5 zadfkRKVcIBZ)TZrN{m#2)VmuO^(X~CYoO~ls^P|-`GU3`t5q;*)v<}*K0!63WFik! zbGz_1IU^{ywte?se$;@;mvDT3u$Iq#EB|Yd;N8bESD4%f=YX?6J?ZSu=e`5f-eK_M z6BnR&V!7fBS8TM2GSRH(6&(Uy>=23qqE`gKM}hZ;Sa=KDHYA{hyR@yYHpSlDJHXHIjiPj z^gVc;4}e73tk+*h-@n4b0S(*wwR-U1`yj1fgC-EpX^c{Ge zYS~01&`Cm41AZ&N&I|BPqgU|?H@qS**IT8^wMd45tcie#@+_2lO!*&pt(^FXR+e%x zIzg{~L;F2xXzF?=vC9BRK)1g-YbRg!$AI^WAOVV$X`Y!?A<(7c0gnq3r1av1>VA=O zwa?Gi!KWb26LiJiKS?UVRMC7|XvzZf7->EM&=BX{EdEYEp15p!Dxoa2YA0hwPfL{# zT#i(Vi(imrl=vFNWX{z>;%KRu0(!b7@4Bcn^nfIz<$f-ur$DMOU2k-9S}npUm7v7c zv@hIWJe`6>q|szrsYxlot9p}LehzcPRiXf5w+x1KfhPis60{N%)QDv2cq2=}y!2=Y z*6t@IHS!B}{KUv`^tW5#o5@ath`M()VyT|C(J*rohBdTKs?;2b4z-ltNVvb>=-4tC zY`^j2%IfnYd5D?OBKPfF&Vl z3h29`XWD@-z?d|)Rzjz@T2t$JzM0KkqNs(kHZWuX3U1>J-Wr2-geseR;GsR6ajTb5 zLD!6}`6xn_@G9lgDPwQ;%wuENpCL8I^WJ^P28))A4fN9eqPYk>qOaAYgr89KB?LnY*|&}^f+wM1-mdoVhbyxwn+4mB;%mCei*-Qgadqe*~ z9?1h#2!b>CfG>s>`xigCx4c>WyAd~YtnDU9OO-c6lZ%v|uf>=bP3=fKcI7J5i=M&5 z{ehZ60W=&Oilzn!`WL->>ZrxP8x^%bI}>=cKR9zI@JLSJnLB~C(3u}XylofI%!fnC z324dvSd7zy6nO`Q7iagB93RZJgOy=lOmq3xuk}i{YjNa+ylop%avn`>W6cP zlHLln@hyyv^|7CHoM1QxBM~~-ZtISwuymI*2r^HSDMZaRBB3#o6%Ji(8Rl}HMOz{A z7tfwU)_FOer$Ac-27{?ts*0uKd}*Exh-*X-0H_D?lR%KBa)NdFS9|;;WIKVM^;*Yh z%qY}vr)xCRG<%}RXE=syO_)W^X{Ne}kUK6@=b!p2U%i=Uh{e47s|43hvUCH zextk;BTof)GmX`7oA6env{=u}O1UL{EG>Egxpu93b$VVa_gPZDn`SKcI{|#?+O-uk z&^P24VI((EJb^bI&RGcJN-o!Ux!lO=TDV&FBm-wP9n91b3N^6e*yC1(7gX>;C~lp8 z*GgRS-y%pC?lHQLH)^7iThDi@M5W(r57A9%1&u(Mx^}~$onk2nmo;?6tQ;L5@;4KX z3h!}Hm_uObp;o$~kA*z~P^ly#Uh@?5ng+INtq!=NPv6?({G<=*weaKcnq*q2;E3pB zd^It^0D+{r1l(#I z7BrHJUiGs@M)z-`qXc_hbt^Fmaoja?91Sr0uO0VKnfhvC^KDsnhVa z4un>cBXXbN-_sK>v%wPEhh~pagM%gO7p~Ne(xf1vky@%oopSb4E<_|8w3TtBb6a9i``m3! z7eKn?6x?r=|%f?a+Hthl1w5tW170!sb6gd*M_$A!JQw$u;H@ zV2hd+=zPzU$tI(t803%C9t)R8-Qkh+ZD`G&K0Ms5p~ISn&UPEoS?!3xy8GYTiCNT_IE!x@ zoiRej!hLw!L{4mLtkKchL9|am4#7SL?eLWGRU9ebD_)tS(YH)1r@PP4@1cU7d**(G z^zXGu16a}+V2o!8h$>y}Bn7YSPle`;JC%y!vrdqa&|LXl4|3x9@0-l+TrBkxuIh*Os)Bf zU>2^VU@jt|M-LCdSfrn`W|_K|D0CZol5FXWLF#Lh)!eC=b9IB}@l)dysOCUFJXnro zYe_ug_VUHcuRn{1$LB97=@u~|lm#2cOUVJn&z3)B4q2IZH{r%&fsDyBxg%?H=*X>%Tj+QSp~t@`30^Wb=#W?;;~PEWU8p98|slN+ROQj%V-m1GH^xSWk7( z$!|9xxePX<@_N;FRWKAB|DtV~O~C)3ytfUNWJ}kCJm>U95p_^!PzGhfd%JJ$7lnnmbILs#E85TUDp-sp>x6b8Ih>nXxmYc4kC&MC9JJ3pe5je*6$+gmF;(Au}S3 zsE9xAz<{GabWmhQ5C^V^9}NDGK|ur+9ntq=eY|VMijUk?-P2d$a{E;7h_zO%Sh3do z@x0Gt!rmv*!O2)(a6c+JV)LJ};JL$^Q$wU_av;8}kps;Sy;-Nt%Oof&9!0}bC5xse zl||3YUCzG6;HVlROOyQIYNDI`az_r3(+M;}$^tJrFgZUZg1>Xz(KNx48k++l%d=%p zc_r)x&K8G9WMqyw%Po%saI=uEPh)iCL$`P$*lq5Bkpq9NrHHVI6@M%dOqtI`fYA2q z!LO-sQiT1s`Icgp7-qrt?nk&nV#C4~r^uRA!ip5eAgVQNSeQFr+mbr-pftG9raMdA z!hwO(`5bi0fc}*|u>c;*`Y!bsZrPs>p(cwCuFNdI`UMhYO0c!Y=8N2l%C5IiVe%DS zp!{=8cu&ShUYQ}5BD4W?8TQa)2>0T;3HH9#6C)-s2)OUOsBOCul+1BPc zWdOgH!ve<=Ugp44BeJv&PU6t@_TY3vT_P(pG#x*jj0g2)R}V2%h6pQ(af=R#E4nMX zM}}{r(s2#kCmOjA|G}Uqu2}Z~CAIPBI8=4FF=38ydeS&5fknY_P5X~ao#S^M*c4I2 z(@Ecf9rYhrwMvWk7#B_0ao=$r@9`p;IrPp0JJ-wyoddHRa6VB>Xm}!8Mjys|e+Lf; z5dNUgNa1A5i;5w-s!-H{H&D&BCS{8FYP%a#anS7_An#59$J=Og8?ffR2mz1^u-v4W z+B=k~1*~_5Pa#;={<==KDpnPqHTmZWFTrexu!F!GcdME6eK#K)Y zXX5WZ-t6?=bPA5;gCT0+o@xzW_)TB-O(kGVgZuj*$YGt}MA;6R~{ElJ-?K@M(GbcQ0vsJG$Q_&}|A`!cn|HzQcUC zjJ9cZ2}c@R6}R87aeSC){Z$~+AL32!xx((koopv^H;WMuSAzSVWSsOL&__A2+NkPUgq`&yJ(sZO58ko5)ReaSs$0X9q!ekN@(|0?}O-(*=Ey*XY)9enIU&|0OJsVAr2Op-g&*7T= zH$S;^A<=X^elQxJV?Zf-lr0kscRpUH+byAo_N_8%txH{i*~*j+r+ZO0h;kW6b3~g= zUxfG>;9cFP_?F~nPz(&;8pZ{9v-Dy7OemO6#^^>*kf;;67KZIy3RqojBGS6_zecAZ zDGc59qb_A*r2)E1Twu$*z>WVfdWUW~?2C(hyQeiFKXwE_POH?6DDS$WA_;5n`>aLdJD^$X!#vUoHGv_fe7s%U&qcb*aYgpWLv$&7{fv@cU z`nVS+MA5O;QbQQn8xd{4bHr=*HjH7JPsfVBXIM*<)Y^6^Ea;^h+X`kBOh^T$9@Kt` zeiMT-7%MOW^yMmF?t*6A>-=)J1m82_OJKF9%ZxcF42ioLleZLYc*fF|sMgY?DtCsN zvAFq1cH_zE>{9(Nm?W1X6>bAQa%5lEZ-PSyLnIC?yT~^&6K3M4$ve>^jpyiI&F$`5 zuCSG3*eGC#1H-MfK!NxCrhOy`K|wu+?K(%Uy*b|_Nf}{cF4DI;Z8_K$$bHU<75;Bx zfADBu`B4N7}=o96ak><5V|ViIj4 zB+k9)sXB`tvm28&0+~@%A#gE5hQjxw`YPW3+o;0Ivi5Y4!f=3@njw7!4A7edy!_~$O{d?lr;YKc;0oqEkiy4{!aegnh?z5lWb_~_CKoG_uWSQ z`>}TkquZ?JuaqhOfGqj5yQGnG)~xhnX`O_AO%^@z$gSnCL5;&O-N{c7zc>)qBUSKC z?quaVydBMs+Fx^yqNlZ!r5^I?{#Ge~27j~FG^Uu8DQIuR@*=N3#OO54wUMc z(jti-D@^|vq}te5s3Vk}*a!G^ciMq7O*?SP>5CKkG!eNC4^r7^bH+ea%30{Y3J&u_ zCeOjwFGO$y?z#?sQ=nb9<2miHP~mZ>x>O!s1^zv3LTCsSW&4v=zFxGKQ}gQ6xMA?f zvN&-3fBr(R_E0!(Ohe)auZ2yaTSwA{ETq87m@u{m5%ePa7NOw9ULqa z1M3s>LijnZzz`IL%B8iZ2b94)c!`}1qnGBAL9deKzn@7oy&?=<;;5_#uRyfj2A374 z!5R~{*fgjDr|aWvXq8j0!Q4Yo+l|`prQrrEIrHwD#k3=22Ejvb+-nYlYGDyJk>m&r z1NGb*Zp1&e-O2&HZsoVYt$ZF`DBub`zt1mi?(EVMR9SkAXepe#Xb<+>d9t`ei?FX= zsES&%W5S8#{V6(dhK2?jzSRYdz=aiWdarxqi`JX?;>)VQ+m z!GN3*_*FTqbZ*ishrLE9ADd4-`MhPmPS!WfUFm(mJgQ@h*)G`QK8&X7ANUFO8-!Kr?7tz^ zz5~A}&sM_ypub9FV`K2(iuuzP=PNxIC3Fl&>=sT!z6WvH$P=BJ#fjSFH~VN$h8CO0 zX<=SLZAT7lNdoSvy6g3h^m_HTDs8-n_Nx863QTWI><4<1Y5ERHO?rJpfX<@G^>L6g z3Dpz3#m$oHIx+l#yf9Hw+j$s_`k6nEygv>@K0yro+kp2wu*)>K9ydff{jU=9G-@+E zCHn5$*WF>dyHY?B=3Y^DJvpSZ+kvdR?Hz^d5pPrFFW(H1?mlCX$20gxm^jP0kUE|w zMpX}?-6=)>uYBSQ=Gt>blN>)8Z7ZU#Jv$3jMM; zW9S`CXxog~+7M)T#F0ESJ$mUPYyIm zfe=-P({s2d-e^%Ds%b{xPkXkGb!|FSj4#JK44k=*4$Kw9K24Ltq2D&o_E(rvT$}cL z%=GaI&h+t#nQ6S;@Kn=a{mC^k)1cK78uFPp8+xu4kAXM6`?r7O%}AE)FsvgEU;crp zyJfv5?GGADtQ-!d-dM2KT_cK7FFv-!g< zoB~}k0mS@7@FC@nneb4$pu$$T%5wh?EV;iS3-ghp^rKHo)tz?kq(=fjStvXhUYbfi zjYGr4chvgkGFQ0MN)(7#Q@EIw*W4CGxNyTS_fr_x@1^cOHA=h(oU&jmAtI-`ckPqf zc{QuX>44RjtaHwR-~LaXxVt+*?iL+NwuZR#&;u&J(6TxwB)v7g8`RFn*fFTRo{~Fo zrLhzOw8KV_&+(ON@>|+gt?CZNr}>|QdyzF7N*gbA8x;jd?~Baq&_=)glONwHdaB>Q z)Jw%cTA)l^$5cmt^whrRWs(=mG>+~ZKgGqTZW+RQOfI=FWu&8#ZlsjU-#VkECYFcx zqG>-I6!l7v)V1{Cr7-^~p)U-zr3{S*xW|)l6cm+GIR@&GNNiU{ERQh~y3mnO`gfJ$ zj$-4y5l)(}Id{UC6acJ+G7kmMrNPo124b77u}nq-n`cw<3|8ibzT9NN;g^8Ej~{t) z$w6Pkiq#16cwPJY;aKEj&??c?&yf(>nbTq|isKzCLSqK)qUm^iZpC6 zS>FgQ(6%NQU}m{Z;xGMA#(ois&{`4U8M7dm`2y2FSs;+>j}zm!y0;J0(e0<7^a465 zuAv?^IOB7zR%2O8sM=HJtyOa_wj~&^EYfloXF5=cE=f|95}(SkDqUgXNN9UsQV1oR z78H)B5#C2Vt!CMx4Q6b9lZsoe5+tM4=}m+qN6$5vk7^|LOM(?o2k*r@dJOn}ciZ~2 zFy4W!d{v}I;K z42f)%h$0Hp*3d-!_E`3*OV-XXyY4O!@G6exvO=Ti*wDneWfTs;Bc3Z>lo~*&&!8kq z?ssWrDs!$T{#r)`(uTnSTb%I{3(84Io8W=GL(v9hfr4@~iVhUR!A>#H8DS?%nR_0Z z(bl$QQ9YcqS5_E#O68qnovzZ&nG#z^eNIDwY_Iy&JWt-H^E`Tr?R^DC<&v0zk90Hx zoR_YNLFND7+9@FR3jlq zP#+pWK`|~-EY~p?8GJgrYA$#bgJIaWLcRs~i;eB;7i-q`Ry>s@;SU?jeue2;3Rq9h zkIrF-nw%f&Jqp?GRB=X7;duj=ku|ku@nQp?AF3Uykx5Ba%kN(zK}V^e4c>@o&e*ca zyL!J!ev$oC?~8ml^LlrRdT9V`QkIT{Ed>a0-oyQtik^*@#unLXL*p=&`Pda+RR&9h z<#croSk2k5#E>^s711_g8Y_`~{HhH5_CKUkCE2DW9MGbSL420d;&zi^RlXgxNcep|upIP}Jutfi<&EB)q(b6+fXda=eagBOUfK^Qi4wWuK_o zG{pp3x`a(VJqS^6-BFf824kashd8>43DP*>s-w;&v57CkhWo6b`tJ+bnx2%$tK;`Q4xCjOt_(1RjEa* z$Y5!$T&xLcfWHv0^Jtc?*G6r-U4liEQmc-gqCebRi#htZq4J|Q`6@&E6I^VYu_K6= z9w0uNWy20dS{0ZTKd0)3+;*L|K*uD*^i@G1U;deNpQy$*F<5UaLGnn@Zq`+1(9z^; z?+X$w6TqEc7+kF&8heZY7r+;x8MBOl*aCtq`ovoNu4sp;Te3-UMm(V~iMT$$q=YMdDQz--;2$=ku+ zNq`5G12dJM%ZAbbhRK>v(wb~l(~$S6HsJAN9W@DrEctK_x7$SbX4=7I2+_PDL8%*} zmQ*iIc`oOoHlXe8?|#ymzJDH*N)Sf6ALB}WdhhYQ@OELIkGvKWtxy%7vP^z}7iU-_ z9ox5G+gL@e*{L$fOyaqVA@ls~gsGKJ2enl~bEb93Z0g!h4_ly4K;7Df4Z*jQ(@Au2 zWTJpzr>e*(_4f2p^mw=ZaJ?NvXXBysXl{qk__q(+=~#4{>~Oi*4nL=V$C+aSeXy>l zXQFGaGl*^9vKs__(BH*4-m~+GoNSNdhoKbC2n0a#!;RtO_(Tul_FoM|8?2EkLXg_> zeEs8I)xpS!$X0M8VWRqTE1(gpyUTTMcKjIvoZx(~jO2^^xlv-Re#$bRV zF(gvGX?rG#FQa(3NF}sibFW;b1Ptdl;G(s>X^$11hTqZ#Kg#`^$x!wIT`?7Y{@Q0F z!&dY~x=(tYS&rP(mU}#!48s0}?h27KT|KF5+B=#mJ5NM;-JbB|P(3NiieP8zvW}-Z zRlTKes|3GS)8Xx3A;Zb_YU-sC>=dYAd9XTyl8iD#j{(A}*kPF4N`9EM3S$Q-(SXWf z+cj12xmc6OwgosJKc|cBV?E2!{TyNKl*T@2I)fK?sy7a74blBbp)Cy7K$Nc(iK1Ay zE+yG<3m313ZUYRX0k}gWG%)Sx0sWxq4#C1!?n5(^1(&o-bLr20ESb@t^a5)wq{?!< zTkc@_KM26Hf{IVt@>M7elTF6&*vgOu__QPi|I1an#`NEImB#cBSQ6m-=*V~@BR^fx zMaYlQ@5x~3&@Qve73=HIoo&ehH#T}sSE=^UJx`3}I(7;x8f;1K< ztTO(;(`r?8tsytY=M()hzOGhzk-?X*;E|8DSA$<0xHSd^U3P|B94DX>V4|9W3V9`z ze-rew-j)?>wkb0Et$~k95E0cRags$PV1hffw2;O?Frp zVz?$lAcUw+*_r}v5RTM8GN~ei<`lP-(rsMWGL&j)CU#Z6$!Qzo;3~x%#gz*u)~a*w zHdx*G2!>bbJtD!xppWKB9vK=WWic}W z&cSB88cNPS{<$`@>bq1zepv8lxp}aO+G_H+zJC4oKlsR3ppl=R0q=*{FkCVWaRNk| zjTUBiFL=D^&auI=J1)B|D%*_j#(ISpJFGO0t^BtHfXVgRAX$*I%-0u9PSDe2 z@%dW{WMPZ>#YHIv;95$5#5U%jYE)-t7tVKRI9y=#WI!NmqP!qbe$CLfGXpzQewlb4 zwFT@PddxRu-*8bng8w4okjXQxUYN3!@+1Wkv70&qQ@0s7@OW|p9gR;W_IC;_wQEM zD-Tg?zH3ej`4}S2TO+3+MPCac%o1=2k^C`zXOuid{G5Afc#I#tiWac(6T1CJub$vH z@Fza@YlLisPF4mx5v4<)K@7in5=e7hR1-(*$>42m5Y5va%Cs5IZmc7Eu(w{EOZvuRhj#(VV=*hsZs&V-5$#JKiOn5>qb6X$c z=KyKjD+YtpMB@7MCVQZmUK-S7hE|!uCw^05Fg$?zga&*vwZ5V*1RIeK<-XD_#`t6P zj+;&y7xj1CUJvwhWQrOr0`Mr=fY7I?(>GtKz|v}Jc$KA-Qlsfv^pDu)6yi8^1F?wAAH_;Xs!cN?WAK99L_ zk5(ZzJHN3i=C$#e=N}=ARIzfiNdP7sBWxCMp(X_7LaRLJT?>Q}h6Q1&cN^`g((_T5 zp;%>GiDY==Iry5t&94oKoISlo;Te7+w76N)4tC5qD1%408DU>@v#P438_6G2Q=^|l zoTr|MhaTq-kwEYqx5Lv1c$S=gTu*9vp#*$|g>t*QH;Q^LqbV|RAg+ZiKEGh(kS@10 zK|gp#cA4m9U^x-NAPkf!Uhb%ReV&)s@By#96vz8U7Fx0q@00!DLWeHFcw1{FQXk`c zV=&HDm=qaxc_TJ|pWu&PV#J~OcBy?GqTHSsLs&Wg`bSdc=!F?~NZ^Q0th69-kXt$} zjrmQ2HPU|Ol5g|l{p#mhA}mEH*kg7Z2defNW*2s;B1l_h|BAINLd#DNw>FwNg5BWr zQlwv@M$J_i#6jPd>p)_1uYE>6__&HxjqZhpT|*1#`5K;E{zqUg1MJ5J4phg|9?z zAShwtfQ#`5wRjA#PbxTP zFD(K{#x<;rrHW=OJYDd~)YS#o;n&$bnmil}T+sXQjX6AjXy(Kpw*{a>O#h**k9JEo zbs#{d`C2q16nTnaBdFbp6vkB3lJieJ)t6aEBXachKL-vwnEs#)8f#P4^W$Ha0|elUL+f& zLgH({^4%?0^mwnqKie?W+z9D@iBfg1=Bqqkx0))^E7cs=BRWNMeTc=u4WdXn@qevJ z5S)zHcsq1B-X*ZWkN{y`m8@~}V5SD-@3L1(@F5UVQ?wUu_f3K|#Yh;Ar=ka-532CeV?VfuL=f z!>NpX5cyCs1e!sPDAU6%lL ziA-{1`ook-Y5;;$De1^(*e)$E2Q6$>5vQ|nnzDniQ6j`xn=nJuDGxNM(4iXAGi8_r z3(O_ZybPK71OMA#jVfG`=~cv1q{wH25tJHs)0-ViP?(wyv9jw^X5pNN{MM+1-9%Y@ znmBrU=SPBJH5f|c+q{u+P)zqMzc+=g7s=8;y{9B|A7;-kpm@MPw9?t0Wlz(T7lEK_P#2P&%A`h2jREW%{I-ksr zj%MgGXD-e*LZdBMIXG$eNgbj@7r01`$X1dSuw1n{H#zD{x6Tn? zLO*{|V2b$_K?5J@mmw(e<+<@+?XR@!Pk#?|wgV2D=g1UHX*f3R9 z^&m^(n0d90kvoL!)d9RhZITn4>Wt+3%mrg#|^>4I8keieMX|Nck&Sp{93 z-)~}YVJvP{;#$ZSfO~()m)NX+4JhWccqgXs#xP!(rp+^3oOs-*7JGBiannKH@M@iV zC)~XscCAtwYn@WT4~G3%rm76GciZTsM;xg@ISuUImeM=GwlAHxW#zWvV54>D>L3pHCi!-*MTmnU_wEunQ1Vnw%-`*C!5?t=tgLGy zvScLEgf;Mjv&C!F6~R-k(}*|HhTmR()Pra>ScVi5f#3tM0(YtEIw@d{s4H8mikkS+U7pIW$oK?S&X&<3 z;@wM8X(VgQHTJM(6$S?s_!4)-l0gQbB|?HZs}kH$X6txLRGgLO3E|=mdWEQ_MX(z=(yd{0wn#tpKo_-13gty zZ%5G8{9W&1Vo+Tbj{I_TtE^;z`Y1!c@9)t!yAy&$a#_GH?o*m-B+-Pl1J&Hhq1rHk zJ4U(l4Zf$-tl-K;mz!uRxSvS*7=Q0E51G4D>xn3TzC(t5QPO$v-S1v*{?X}ozdIBi z-*qzR<_|dyFuMqjCCWK|ao}d_X?ba8iaAW=^8MlH^0yR2KFQ%{x zLRhK{p;6W4N&|>45!4~m2+qPRy-eY6*D=l=nDV(_ciPDPsD|VhcF?0@{&zR8n7WQ6 zHYiCGjEEU02wm_bU9M(%vC4C@&0fY}ah9TW?kz2yETqoXSu)PI>1MYH10QTFbHWXv zC6oKRYX_&ESSwA`dbfY;#~+F@z)koyz7N6ND42)qY`;3=A97USZx{pGBt!!cS_*#1 zQjNbJtd!e@lf?=WFDsf28jfI-Toma78@IxGZq*-gBT-6*MAMZRvNh}FO!)h+(J649 z>&et0`03e9e8wm)>v?96hx_0@%`_(43NOoP)VG6=Rpm0a{TYHWE<&o@79yMK<9oCZ!RI@t-w-W3T>_?vs^h7?`sxvB)<26RPk#oC827D5xuZn7G(UZQH2KL0075`boYv@Rlw7gt8jQDnI~R- zL+00ZRY^$zUW61pkYf;>hGM-y#?A<=qP6j@2R09lU!v>*SAwBYdl?53gUim%8E@snt~)lku-@QrQb1<74n-j#|1 zwKR);SVvv!OO&bNptssSE0u>gjQnw0G#LhJz?etZS6hDEaKGAk@kFM~O4aE?mY5oA z!fOeVRLkfQR!09E-O}}T73(iFKp1SM)j|;c4B&MhQHG+7J{1i9U~i*)`YDs#@C70> zSDj8zi2?KW@2O#J<#BpV2Nax(RZ;}d_u8l-Hvb+<$KNA?H}gt z71lj`RgG~{ChJt!IJj%BxD*RIW_y7BL2U|&a|Q;q&QS?udW=GeU~S9{t2!a3BNdsh z<}@)sdi|K{)4<@^Z1D+y@an7R!RdHn?0V#T9zB0Pdh#Ut^2>+MpFe!{N}pr%_(oy^ z^J13LA&Y;&w#2QX!gWJ<1@&T{<3H+CVCU7CIqRE-9V_ti7ip|QavSR9b1+H~YfFi5 z^{4miREJ2Fb(xjr0yiEy)nC1O^4J%cnb!%mX?A|{lb^)V0YgVUZJ$H6`RF=hZK^+Z zHw(uF$aJ{5+#<&XQdOFOp?**+-ccIu4!b=M)$yWoAdfLdGO~daxAuhM1IAd>9SqRy zqKGg!m%9Q5o-HD34$lS0810$=%y%d@nr{iizHC5j#S$s4>~%Gh;NYcb$iBeie1DNtGcx7MhGlN8@ocnO8-S7vM=%~c^G|3 ze9ip5rg)rM1`#Fh^)^Oi5Z2es$@(%sSjH96+kjwN&?r9Nz)pab16|J%+pt1Tfa4QA zFf~M4(ocMlhm8^yaDQT+n`i9MZX%YDWd#E=*D>j=1$rzNYofY06GViuJV7TXW`gu# zK6uG*CR1!#M(={|Fe(>#7aN1bNG_k0ID&Swk$S~ml2)0AWLv;wB?Sr_a(s#&=<6KC zRq4YevL*E#X+btGytZhD=~?bpJXV@IPw}mIjGsl{I<3OL^Q{Us@u&GSeir+Nj(Lt~ zAv?265M!QV{N#e~$mazcw9KNY#5_H5Ukg5usYfa8x)5Ixn$pD;k}c84K0{eu`(?pt zkZ2Ja*E%K*iMZlC?rD{sSR+*1h zU{>Q!rZ^2rDj2J=7B?Ae0u%t;VS+k(DXnM;e9>OgI-Vss4YxC8zg5iyjCv>4aYZki zRjZtE_exu=pn?=%6iI?1x&drh(amnjzdlVf%;w$y>28^q>lkhyc4H~@i0W|@IPTz? z`3-?PcqzV&E7BSrYarJKyd>Po^Y(BMCLX{qwU7c84MluT39q$KnGub^RRP+a4Ylbj z50TtwMGHM)N(dB`Lzz_ObwE5ea?9+Bj6XAdBSl5>YYSgg?CMRV+~z(FVzHEN2)CzQJP$R@onW-#Y0mF}1&UD3d-AY$F}8 zNy)nZbw0oRfIRzDG~7|ZyyoHSI_A2|)U#6g5{1^l1v)q;Y1_M$*$3*C+k+ErxKMxC z^=f4f;wvbqkPCw0GZ+4S%fr@~QWkqXXVzhbBQ?i1_{=o& zi`Haog-hE)U9q@@prgHl%^psWK*U5xgWsBLpFD*muN)=ASxJrtDXX!3F#2+P~_ z67|LeJK@iFDIFZNSrZa;cWD&L^Bd@OmG8=+GY_LB>T-S9!19C>ZY=`9Y2aCr)JO;4 z@sM<=shq?t4|afSgcCsciVi+YF7V?6vjX1jP|6TAxF~Rwf}Gy|_q1e+bdg%V9a&+r zrT~|O1t0LmLv3k4jYaGUx31$GsgO@lcyYsrG-?5xq%a!Rb|cZXp%s>?3T%QwQt=&~4?(Ekk_4M^U^j(zT2^nzSX?m{E`jU$Dtw`Z|A-fXup?VE4!H{}!vA zO;+n9CwMWd_%a@}NWS|Nl}faoSJzKyR6j+4l|F@>qS?m0q{Ev&sev4xD`rr#2KFC; zc}aql-OD-3`cIi=v|m5%iX;L>Z$)u{|F>rgop>vo9RpWh&-Lu~K>Qb;}2o~Y_*9r$*aU4j+RI*-9-+!4leosTth zZ>!8zLY9^(8hU?;nMoxTHYrpql#=@uF`J=2ePNByDPiv-;?wzM4TolLa&xzp*PYi? zyP~!UF{proQPysCO0;!R!&+$r$(kRTEz&mG61E^_Sh9hknO$sT0-0YYy00Q0qM%hM zE^85LMA_)e6l#faypoj6z~|;Wwjy6AZ(%=SgFa=zw9?SVUGWd?q5GsG8v$J(cN=Wl zWZk+?z56UXwS{yYjFjm}F+O~Uh!zV#op367HW08INTCkNdd?Gl5SU_HIwZ1y1ss- zGDJVuS>Ki_qSmkhiG;bUDFJB{8&d1@FnXC}S$VU*inBBh0x6Ymgtz17)vAn5y-?#fwy70_dK}Npx^BIvIiQc*4u{|7OuB?|f>a2&dyi z9iggrLLjm`Hepd*(j2s}N$hbqUFWM6h73drJaI@JCBW_^iZ4VP;Ho1z`XD%`-+!n!dLD6;hB^yK1h#38K6bi%Xv)v7Ts|i21pfPTTCp@-Kpr1YGH(@*A+}& zFbP$59o4Tf7}`bRPeQeVkB`STY=7q4KSk%106i*bBgHdZ>?09%@?Y;8M4i9kOyO_S zsWV8`;`A{3Tr~(6Xzt7D|%z-nL(ZgxeN zDBsBjM>&Wxv<$ED{r*G#0W8pt7TOfTHV!sEm%I1M7Rj6|Atpx%Wtj32Fn_ov6rl@34SjF|5$dV4RqYTrvyqxX z+IY9-V040E{|~(z>2_P7KjPy#0%+QByl!t2*Jad1#PmFV1M~Nc4UJb|%_fD`%q4Z( zh4M;5S)L{1=K^K1kQ9%c%?`g-Ojh_l#WjngJw(2dyZV1d6Z zk_$=*DO1?K@LH$aB2_WrL+$7juOm1D2sd;VivbkGmjv*E%>_F%w+%P|YCx60KF8#B z=(m(S77IyJtx`O+rcogU7HfP=os|KT<3rkjCOxz&)XPO^48LFP)am2Cu3y1IMmxb! zZVSLjd2#$cLKY2N`~nsYpT;tWa~>R)L8m^WK0CRV{2F#ic(NhmP2eA`q>;GeE1gZD zTgSXj?r*h&;2L&+fqHmPn*Yu>etdlV;0%}2uYIS#QqeOwZqYo>!G&F}N+Cc>JEhsa zOB57!A%|4WJ&(}&-PVj^*=mSCeX+qHNmX#giOoQ(TZVeY^Z0t4K$NGp0}f>_G%Jb0 zRP)#LRqgbyy}mRJ?AI|S7STs8S9k9EGttC;ozInm(H%S1 z0!aIHnpX%1ip%$S#oWZB(tpozbRbh6BIx0yMy_cLbv4`hVpNLaA~32~oEoE?ju{YP zB!dIs<#%Wo#G!mahkDXDyCxo_YmB$Q$MD9SRn=s*S3nP|e$wCtg{|^xk4NZU@Nnwg zODxk1e5|$ivR?^U>z2__1LhZi1!46)%gpwu1S7%5UA4*$$$Y;qr2i7t4tc}9sHfi& z*cqS3xAH`Jlvk@|y^9|rByl>XO0ARTO0CzdVu`g{vYMq-uDf#4^w?B*!M4+`$M^Tr z;s$qfnPzpXnbmX~1jJt?*U=wOVj|G_2C0(h#N`kHOrthgSYD1LT^qi%+~fuwOyx%4 zIMk~S_KBIFovZwE*pIu?FH=|gF}h_byY*Rs$?QOhS{adH@U&CI)X%MT;D@4ee zb6~EA#RcyQ<7=f`oZYT@i|e&=-NFbN!Gw{R9ZoNWQCR6#2X6U&p$~_viQ#|iSm+e;n}i zEV8lyKkQ#064gJ_7bfnqpAe&}3z4j~^)FO@W3?7AT*gb7PXU**Rbdr$=0z&tsk?OC z0>8M+VcKy9SwK5^QC~*8hZ-gxO6)Z;{@a7V&~%t~h|M9pOMVq1~L#`+cQK z2HCFT-1sa3lNAh=1ILPTCmhK&c+ltfj-!K<2SWk8FQapnn8#1-IMNMLdpO#Y2hw+q zuj8AZPkGJE70r)m+WOUc#0Gx7!uZ?1kDY24Tc`V((X1htHrI@t^CG`q1m$X)HX}8W zy$%(_GU%4;)HnvG%&ay!KP7&_+u!@dC*P@8m!UD3;1(dzU#$E`)n#0rCqMHPS>`iC zsl1H|gUvi}S+YZI%PzTjM1aN^r48n?)rin_ri*GrV?iRWHl%9A=1mFS{yIvD#5ymk z-4eNP;;Z!Cu*VQ*X;G~t+JSzExZ)k=y|jhePo6~2pFbz+62U-V86PJn$LCB#HmF~R zb?K9nv$3JWD`1Y74$eaVM!7bpGk*!3i%w6^G|l8JnUj>Fnp)emvJ`9>R9}L=1{g(b znYsl=M-vq>{zy8OarPY7CrUdAP)_G)Z1`LupnwTTY#k2)cNrUY({ z`Z><|1UWyQ8e2e93tr~}sgB!S+2Jv7V{q_B5!h>`Uqk&xW9hTZQFYOkjFpEOz4Y~* zm6gnVJB%v=KddTZW@k7U#7V{0&^Cb=Q{5n|N?zqVI7|mvsoVvcCQI5Y{%!OiTeFiE zt6(c(zmZrb=Pk>*rO)KQ__zr%TB9C$1;-4^F}9*IJrLJ!yTxoMx~#K8M`C!7=WLHq znW~d}ZjuTHfly9_6QRzCUuxjsL_&~M-e$Uisn~jbqj#lOoab&Qhz!51fD+5)24fDh zsg859qzPXb);saFP2BLdfawOcOadVLUPEt@M=|JIexp_RBnZCGK`9PW4Hp610ugT> zd(I!0X?NTU;_EZY(OLZ}WW zdsGj|F@wElu}mNYxRPPW^F_6#_wQrO!~zIQsL_J zvdXPLB!J2&7KHW4wn?<>;(`L)cn_V_9F;XQ2VaG4!fI-AL0*xseI-TtH~8}BD-`qH zIMj}@l)9wKQNu0eFqfdSAz6^Q3q3<752P={*988v;BC5q-4a%+9(7(|8NNzJVxvDW z67f1FL|f!soqX;MuomqX7Q<%u?%f(+!c{s?TF2~MDP*;1!}=#a_6tuR2^NBY{UpmQusxzqFx5k*XaYVK zgr*MG*Z9*qxuBfM(huL5lYlm;tEh^)c`Mtk!x_Bl`TEAPGp?Ax`(V!O&M)=&)$fw9 z8^!5TwxSxo3~>du$VRg2L9tYu982ah{^wbnzHKI&kSUXY*<8TnRN1gO+o#z{+ z;CL7rg=RHZlk;;z9w0HTNr5C@`HCp##Op_Nb-22urU;E&cf#VHaPq@4p+)!|@~a76 zB@WCW<3!9TEE#W$*R$QGLjeNsF&~M<-)(j!Q|{swogp_1aw{saYdP6WeTgE6p*#s) zjUOf#J?L+#U#Dfh&hhqxa@YU|Ml&k9g5`i1bo#v@&gf!?s|sn6xC#7|+FJ|&DLe*6 zO{UF;xkv0xv<@k(-QBuMwXaA6AdSZzF&}snB*tqsbMZ&E3~`?P77Pu`2OA^o{1}ia zS|*c;B=H9y@xeEnRFzseWY&~vklwJ*5TV;lMHl~@eyUn6F_puXpo-P0FvsUn^o9}H zlSzN+EqXHlQPhWywppBJdX6mIN-J|I=}yAOqw_Tki**$jmxA-|+N#citv84Nw__H1 zMd>_jM^bxJ#&mRt9v|J_N?jd{cvd=05)k~N$8v;do-l!4EjwUih@S3O04S}iPun&t z$+b73BKUY7D+0Uuj=A>!V~(E}=~Xz*Nn}F&=U({_snxAr<3L?*&lcD5wv;-#+mhyG zod|LXZb}}4G-i(k4$N;y98_CsUq>^jiOH_J-m`3X4B31Z)Nh`uThj^#IQIj9GFVp3R3BJs)5pGmQ zk9XT9E8p;~_yn>kmMoB9!B&G5d1BJ)9hfjB zY-I0}0^`ftc!+&Z{vs+bQ_Vc5iDkslBRZdefvVtc^ZwK^$km9S1Kp$@4-k_JIn@&RAP z|Df)NHJY!W47anNi|{=1m{vlc57y^$hfhU|&z`9^?UyfeqOCoS%6Id3u;O$icS78M zhC|*dYh>iVacN@3{kL2qk!kuCUDU%+x`IvM5o0g;9|x=Z@zB`NgO%hwia8yz)CC`d zctA7)bT{!CDr~F!8k@K-zd%-?=w*?<SWeV0k)bc?1g_2(JVChJTVoZ}~m*37|(SOFR!ZDw-IavDMfE+QVW zsWs^_9EiUU*~HT1&b<4@rOO3EHQ3G|2W8FqP!1tNEIEs5)x9Xivq->IUPFWQlKDbO zQw2NqC5!At@q%$Sl;pCN3h@ll0p@^&#r!vT-z7TQ))kfr3MmW~rPYo%suB~hWQKUy z8guqFq}eEYN&!-&mOi+Miw)Qx2z(tj9JSP>U^QhD-Bjgo6}n^-!@d!WwDI*AiPjIu z*P0P&9_)C2nN+1Y72veK;TOUpkFFpB{TcI(21GFDQcxEY$JZ$VGcC1^dAed5XS^pr zr~i&ff$wH$ij$)^Icm;@Ym^PNQ%we6t2rw5@^SYRx)CGn{hFj$d~1W^5AIl9u%@}F zK3-$*Tu02X5+iVv^A}m7kU#j*f%mr1NCf;E%I4JtTk3(mg&F+vh*lkz)pCyB;`5@q zY>KuhV=MBcwQSszrYUDXb#nF^Moi6GB`l-*{XRV%jdf(sbOSpt`|4@~cHo$9HB zsK==4pv#BRU~@6RT4hagHN+$)k{YR0B>sDWm$7Z{Qrl_>?M;wfnU~zG;W2RNOE2cI)*N zF=oQRc{Y(RYgg$G?6-c3n*{-~Jw2E-zVP8@S-PLto zTt)|Ag)WC}-{vyOl#GnJkACnu+5Ho+NY+?&pu=(v`}Ujo-8&cpIdN87c$TcgWw(U7 zp}*@$*IJb}c#qZgJc{iDfiGPzgJ$TO%{#iBPZe+*a0^1jiAvp+=_Xyrg=;JIer>mZ zN5{@&21a5IjIcG0L-$!utkbpP1p7NaiD3Z5rAyBr#9 zxT_vuwLodg^q*amtU%I4XAf0rvH@w0lqza`!Eyoow0#J})eH$KjKe5NiDGMDW{*Sm z;7JVpiM#zj0(p>H{9JAK_2fl>R5Re=czG3@AAwyRU3|4wmk4r9iQ%Oc**r_Kq{0;3 z2)@cJhPg4H^R`hLtTl(yoSF#aPjmoDP&2t{6ox8$kt+A7q0w+{q|L9W^h#6Y7XRqv zS&Thd&$T$&rpC<4-`N^)pvzt96(>>9LE~uxiBS*_=o}O5+sbW0I($Y>%fv#pi7vw4 zr)0gNkn4>sAPMV1(6AJI!&nijq|LC~>M9X#CR(OzJo&Hif3jqEW$RSH`??coAX%xWG|iIJq|RO;WA$1xwB0cg|=~ zd5*S-n3IyyiBCQ6X$jYFW1 z+b_SHsO=Ki;!MMRSBe<=@Cd~vG68CCI zNA9m-K$dafuts}DG$Wc0Mk(_ms}(|}VzdP2@k}5(ucOHXSu@VZE!#n$0VX$UWpS`rODzj;1LNvtbPO6 zy$0E{dX79up|#h*C4*MKajQPt=(c`rskZ$71e}v@NgDeJUD;T@p{4Jxl3F1L7FG+& zCS$=M$I0;np$Pk<3`e|p7>#`rNEZt&VtC0m`j*EjbQIu6jl#_>hJ@UBo=VKxju-sDrxX6)_`(SN6$o|Hqy*VA4TSRr4J=hyWK@ z4KiY{fn(y)4!!v`vf_We!%2Ip^G2Fp&~b}ec(#V!Hf1X%m{XVA`Je$tu-b##Ykt`e z8b<#g2pVpdtQ>|I!n*L`9wk^4J7I{Zpo?hxeM%+-cAj}Aj+yiBcWcEM77~C>NKa8U zA%3O~hV5ax-rSWPvESC34R!~FuLy6B;?yZe-6TTlfG}1HtM-GlK`yNtMx zkVa09!Soh^oH{W*c(5)peT^csk(FKtq!65_V^W4eBQ?dB4SA}AG9T{8qDhDVW(`%rH<2~#%~$Q!hJ~jIuBbtvAxt8yhz=c)M&Sfkr(^SS@dD zk#WVTO7gHs?pX8d_h2tHqeAY0%%-6+BsPLaAK|O1U8RL562*kSm{bSih{A*WB3`1(R2i2~cRlmt5ad?q>Q9O$dE& zqLZ!o&3JPZ-G(DYT0%8dpmIV>H}krz%iV$%MB2{>;mv^fq7TCze~CL#0}% zL-iWS!qlGee9pJQKymgYE=6g~ulavQKi~0xs9ezPphlog$D`!VR$uUor_c6OTIi*& zqaz~|64E=br)Y$ILZfOr3t?v&?nB&+&(pxNZtaCH99!X=`_G2`31XbG0t-3{5R>u4@i>Y%VGE&++%` zY=#G@xRS~EPq1sYatr5YWiFX8i=OT9Yk5~Myem$8_bvS zh!R!P<9&o!8mZTv&-YN(H}i*ipqxxE!=xP#e5$WrgA4jpF<*cCHNCcl^-owc#HD-|-_PF^9?2l-cm#gSta_Z!@!a^zy>7vFgP#H>qH|wJ`rgfUKHMRDm z=ZfgS1fF7FKtSbz0&@VyS@Z^1(IPrH_3`@s6Fa`1icOaycRq4{#9Sdj$mZ!$kc;be zUgQYE`#RoMBuUmpx*uW~!D9SlI*uz-%vv@gta=o+PR>uqqtgi%{cMu7h@&SdoFsJe zALUJTuKXRV{T~Y&5Qf%B^RF-FQLN%pIea!x%D!E5G@*eSkQ-Jbs=(30-%AH8qeZ)| zoyirqO3}6b0X5v8hv#{SF0N74v!X*IY8v!&c{Z>p-L=KHCl5wgEpE~9rb>~D$Vc?1 z%(HQgE7jR~<>n*2&cLYHdqr!I+;!w7VKYId3Cm;&U$pwGdiA;zICErjVcq@R%&26F zD{Xb57_*7S;7t~{B0)Tusud@Twn5L4Pl^79ht@epd$B8@VEU=gp0v!@7wr@X(Lul{ zKICX~d1#U4h^aQlu_&rxXyyxrccI1Q5;r-uw5Euruw_MlV9SO`{ZFPU@=Nq$;>*M# zB(k-fP2U9Hsf1YZlc!8%SnttrUGXQYd)4k048JI;44|vC+rQ884St|pIpYI4S}d&& zLnmUT?jAJcPsvL-n+ELs7wtB_uEzV$eK z;=61a7c_m^bl7Ysk(56-&~!;7tiuD(p1+)Mxk2qHkZCRB$I{JeZeX-BIF#kl*&v_; zs419~FU83^c~cbc7Afiu6iitP$5djl;P5!py&h-!;T~st!beST;1ew3O^VxXz60|l&rr`dz5<`>9Sxp# zN&Hsd#T&58s#N=8)gH_1i`O4;b)Ae`9%dQOiZof{S6*NZ7Yw;TlEh`cOUgBtDZnw4 z!TFKHM{J0zmeq8hhxveO>+Gy;ZN z*;QQ_=491WuZ|M^gd^ogR$~f2oaq_T$ei!_0MF&Uzmz9XJ)YAeXaz_uygZ>IjnjSK zf_wKb=SAo~PaS{6$WZNmDr?$!EM6`=cES6LTDz1t8*|0 z+ph9$bYf;gi+1pkZM;i0W+-JuIG!3XF&H?HC!>>Lpp(h?eS3ke&*^3|9@aPpCDza? zT1n2I5@}b0v_9ZkYf_*6<}kima& zJCV+L=Jw%~SK_srvmJ-V^XZQ*KxTH=!A+0vjl+ZEPMpzAkM-D;=`P3)H^}ae8{M`@ z-w{46xd}6Fnxr`ge8QonAH9ke;2{yr=DTi4)a6Se97)D8J5fcd1EX$d^$4@(dBZrR ztpYql$w1g}KIK@aRLC>Jcu0j%co7UR29KhbpFPq_bDfb4if=;mzX<)jnwjQ&#D%0L z5(0X&yr8%h3M~>NAiPaQS?a_$>-}wKaU+QIB?%mEG3)wSTwW%em3UN^`CKu)C^5gd zvO0xgWKw#t$Agowb(qzMHLu|TcUek;9#~MTVQ!98UQj!*Rh;op)L0NisYLLovLxHE z)?w;{=nn6|%CluV%nYxPk$)ZXj!iy|5!2;vrtT|@@=$IK;u-CnNYz_rF&gQ(&EVW* z$aE2kXA|&Xku%xKBdca~W$@U%gl_bfY=!>Z$w0$mrU|>W-0E_N8$WTVE4Ej@TLpEnR5}J4g+KbS zTx^(o%-3cjwKJU;?Q6VMyjYLfD&y_LMU+`z*540>KPz$A+R0ogEk8h)_Vjcg zC>_fy7Bq`J6Kdb+c;sR9tTUB{;nnM0%}keC<~Pw1g&vRhL&kd*9E^)^nep2{%la?* zH5pQkyp?gJFTr>5g7_w%#Fu$3fZSl~-870$-}u56x}(m9x8S@TAouXlQ&x0DBF(tt z(y)YCn;4uw)Ck{|H6Cx|sfo&;Z_;QebqNrsDnumhV4HLp+qEM%Db^JoU_Z)xiHU@R zez5)Wuhg;Qy>jO$IflDjT#zvD2O0@ZX0=t3k{tO_%SP_s?61PQ}5@Qp|vd{(P zYp^VWJ?Y;+Ojpqh%^*hwAtDKIO{}=OH^s}AM+`aq5rgbog-y*G^BnlBOic;EqZhA! zV6_uGRvg81+T7ahKg%UicuP93II7J5EeABGDu^K1UsuD>3YL0^MjOzc%;S@L)97R- zXgA27JAsW@$XDBGW!3~n>S~a7NjCW$U-8@uEW%*a=pA}I=YDi{olDU)qdmFK7Yn8=Ja$b$8d^%rwO(E7B1Aeu zOV+42J*K5Knf2&D&#uxU&yX8un<#HNq1@7G9WmX-ed8ZX4JyVHV$oHA6e@#BtJ;RndTur@%6P?C zODDnm{|CrKXpK)iPZlw8tA3eh6iAq-+q6#=OPLf>>=eH0lp^Xg*txmP+a4;WRZO;B zi34Q=M{I_Bb+IjpWi-Arwawxzv7GX{7m9!rN1*}w>n@a|Ls1MJyqbH}y6`zx1eQZf z7xu*sCTg@sDXSNti!+xIe5+$_Ntcr%M*~X5*yn_ecgS765aJa^s@4{WPhblA%dUhq zw$6)qp*3ZZV68^4Y9?SuUw)xmj8$-2?<4M%80i$ZliO)6_-4=Og7F%REV-_s28>Nt4Q$koZc~D~LmM7#;Jp)6?x$EIxo!TKaZA|nWQnk&wGiw4p-En`Xej;?d71Q<;bUoe6=oSHDQuWWA))jJ0qY>gf_i1$O|JdwgRWF=fQp zSy=EB&*7Yf-eC^Gr44a5s7FSrmu*tGw7fB{Cp=f-zRXl=<}7>nSm9D#7Cc?_P8CiO z#p>W)pxUaEPp8pR^n+TG8Ko?_CbNOM)h%ftFWyfNiF|mQlr@Z*xz_L7GM`t-LC&TD zRnOBg`4=7XnJ0T!eQJ0R0)x6$t@{L~ak5x0O&Q82>lJn*EwYp250xQH`9%X(Eu(%9(Xa(-gHcneqb#6H~3Bg%{WA zGt)vzNMp#cRFGy#wv7#NfW$fEz0@dT>6f<~n#QhrT@= z1UV6K7_b*%l{?0kPxB9bQlmL1j6kilrG6-q_6G-@x=t&JJ+Tj?F(_`%RY4RyXu3H+ zeBnbLEyGxv5_Lfb$IaLoxW-->4Ij+2Rr@zK8j5VW*cXwDxA=E zs3XB@#ORi!8JO$KoBp|Ay-EA%n`ShOEkLG<;DJ>vY{bWym&9qt`wJ|n&9~$#u)1&n zi(;v`Rhm&q>NFOHqbebWUty2Nl*aDeJLd4)zFDmi*5PqOvLm5R>r!x6?`}{j0UTVM z;%K!iFH?m-c=kz~$~%1YVBIKqsk_g6@eYSde)@pI9b-fK(JldBuPUcRrqU}tG&`oH zv^Hi`nDvhaEnw&zDS%hfKw;QG#nMRCIau!S1K{FYEBU@FE&`&dYB&gDhc(C7cnflX z0d_{o%wcT}oP*HJJDy&RpSigjn_oEhG_W4-|J3iO-1y??A_f0uH;dPs7-xJCJyqpJhgerTRpkJa z^K&gTOw~a1c#BEqpdAdZ#ATv3Gj$!6zvyGiuwPml$@gi_a7@-21RX4qWqu3(~Ev_CZE2~1eRX( z4Jvsp*eKGAz7eDvNZtuqe28$7lbAmFGEqZ9!bE7d}_3w}-Z|wKjS>I(EV8 z$DVJa|ESvRrmuC8M=*Ratd#0(|5*yK+P><;X#1-)OZ9rn=8ewR^RAk=%^Y?xkNLKl zDj>vt+e57+M04x1+?t*DT#?)!@!2{4q%UV(H~9cloSKffO!gaW>AWA2RVVfT6N9Wf zrmDB`-pD$kkzotzkRGgrmlFLrB>+HgDho|{*2Z8VII<2Mv178;$|w{LanHUEzO{%% zEGD`F@DdLG{NlpKZ&%4;hbq(R50Rqff}Lwu@Q0ybvbCCNRQU-c1e4*OYDF)C7@A@Rw(3ams>WWe zMxQd6KGBAmtrt-pC{O(NR{;#n#xJMDr9t_;p~yvMR_m|H)nG2Lg1>-PIDY`9_3dA8 zGdX>5(#?FGTAE*{u-;kYt0XpCT|M`(BI!3LRmzm@PN+?HW|+o2NEiRPanY$PX$vQ1 zOa3*GbyfWZ9Eg_E02NwjlPy2?rs#1VPS5T=n4S-f8UhBsq5-l(%IIKhli)n2 zj=Fh?jQFpZ>#ZSX!tcg+!Y z7)@QpJ>gnZq=@Qlhg|zHeL+_mOyV6 z{tsjI%AchX7ET#Njh(P2KNci~jEgmL=j8c2jG;~^y~bV(st2O}-;AF5@13Fb94lAr z#^Hl)CW37)?0Fv&SY3JGu)YSfahRLUFEFI&$P&adF6uojoanP0g}T@AGKc@+fB&)t zWLbbz**{-?`SAJkhp%4wL!CZ6K6!Y2dT&ZJQibST6%MOuXs3>43SEqGR3aJJpGmf# zlq|~#%j~g9J;_)5S$u`SV%mf-FeO9dl%^G*K!I$K+X4kq!9Cl;8=kMKS`yKM5n5RN zC0I)JEb7fuoHxWB8ZsJEGQ0qThDJMJ*c6Qeo|iE}`fo$aO+cG>gUUB|ie*vM(=1uW z@-Pj5+Smqv*$H}$y<2DNp?~XOfR{lFrO0p4l)TB}va)iR*BHfLm$P`zwby^F`KfoSCH@tQ;68V>_o3Bk8Bik^9d{<>7$LIVb-|RRugEof4`s_WU1(}_fKlRdI1oW$!U=dYZh%E}IgzqjC1MgDKmmKHT8&5o zcqc=`8;xlmF=nr)Z$d3~M;5T-t8{@mgUUXrwWt+;q$giYL2&~KQSs{lH!9__ghcTm zP|>HYQ&u-78IFe4h!V$2;kYJnTyv0Ekz0h-a1m5_e#udCSD2X2RbAd{{R^qhyg*;H zt!P>n1TVBcae_y`&8u-AX7lCtY0GT{{c}`DvhYTBPq_aRvpA|6BGKQ9L8`YBo8n7W9?a7HBdBL;Bgmste<=HrqJ6 zVfUNmVU+tV`m8s*zv)KLb|jFX5mtwM#uNg z&ZjO(Ed4YxA!D>{s(lSOeq3p@{q>J}U|EaZa%K=D3M2Yi5if|L{WI{!%YFq5K8(aV zv^n!y_~R91_xi)5p*Ux!ni4qMIEj}n*;vcB8VDzqr-W!ZC7)fOs*YK8@DNcLKLohO z=>DBrbQK0hfM-^;9l>SRp(o#WyLlQEiN}`|Oi+DDR55e+D%UPTyxV*fD zNGPs=Or`EhijfePr?(ac^q2b{g$sOor|=`ws^0$79|Bzxn89DP=<%QpIAPps3y{zk zA`=H4Qs|qg>0aNM_34^QMN$(YdM`O;dR7~F>N%CaXj$c7)u{}BgdyO{2U2Ht#Vn}# z#+vXPJingu%=UGPf@FIhPR`G08@v63HN1)tRg#cmNXGJ!JY8cv6N8&+2LFd95(+^q<8=q7g<>QDsg-Zl z1wV_vrH#m{t!BgHw#3ADg!Y0IL7MaB+BPiG(Hg} z>?t#EQuhJ_BY9+nPwDIWf_sWatlYvNv*-br`kJR+|$0T!!8FBVWeLR&{>KfZZ z$1Y{C&rr!F3qRwUAR2OhX}48VijY&mVYa!{G(jm=(#*x&s~_}^NN3i?u0Vb#STj^f z?}$1Or9O-2y*-+=gp z4|Sue5gt6)=e#kn++LAJV~IS9@b0zQS3GV|+zxY>{W z=RfHyBZlcVI0mDyvS!-vx}ex(Y!t-`QF0ZmR{sKv-cT{~t^RmL4O+<7n_=}+xdO)! zZv>Z7YwpU=ppd7Uk^8BcjVD+mnCLn7VMg zPLbQCNK#Z-H7u(RRez{^1@^!)W21QB++-j)oHNlC@HbRE4DT<~zzD4Zu#UGK9bs)3 zEq8lIJvn3KkPD)vgSE6Y)HQSkD=c?(CC_1Dy)6?gddtdWy*6Bbz16A@#I-|>O5)qcgW zoD;hJ5bd8CjL~K=rJ!jM%}^?ClcOw|(D-Y%!!l8H zOH+FYQ#qwd0%P$o0I&^x$)&SK+F_fZ4Zqp07-jVena;^5eU83N0Sda(C4^b)G&`GA7+>p!u%(+Z+)y z#&`Tat<3|WT%z_xVSNoHqFZ}B`{Bpc+WMYTn?snbj=WYoG2_gHcf6CTbf z!mS4v>W2%MixnJu3ejI-5WlL80XA*|V4?SzB-JQo1P`r*Yx}n?3C<7w6v0p6c>5_d z{Kp4Q74-@HG&w&(=kheVs3H{K!EDn>w4NzF=UH4~S^=}&*JW)~GZf;)6PAo#xCH;P ziZQROj^5y0V3@tYUWtExgg2l$j?Rm2$ks}eDEYw}iHgekD$m!$`sA3)1o(#MhVC;3 z9V_ThwQ?BLMWj2U1HOdT_|Q&SnQziELcJj9C`S6g^*WDMjH9}JTO)H=HlzVP z_(%v4RX&;jWPWz93$J+0#6J!@kN>dfgwe}3Bt1;A-bT{nQQn9^U=xaNnJ#ze9v&d~ z0Eux9e~CqG?ZL~MkW&lkC*to@hx>C%!iyBbR1XACABSeTg8|glr>FyLq;Odi)JDd+ z)l1T(Zf24BJ`8_QIRXT%jB!BEP z!5>?Mx|0jr#cT8DH>#KT$O0Y_kTG>UU=qaJ?K&koGFjC#p|JM&SeNxkw6#Agrq|9H zsUxpn3qaE<*ST`uG0RFX9gzwNecw)Qt>KH_Bh@Q0Zy2rwb#_LqBW|)2_ZoCQ=+6nhm|N_?5RT8Ak+AwNun{V!|1kh0j83M*4l z`843RzORenWfX3Z!NbLDPoobbH!U5BTRtBWQ*ZP7(Eks5n0U|!1PIm|ODgT=0zuT&Z4 z6a4QHe4jC4mOkTazK>qdA_d#En$3q2-#mZ?FvDyK_(H`7hCOtsNWTh8=Yg>o3W%Dq zQ+XCIbfKDuMvJb>u#cf6qnHUB92?kJuj6t2uV|JX=NoU?w>vi0@Siq|yP2h!b#8koDzpi7 zT=wi)QG!WDBkns};#=Y^Z4uBoQkeKySNu5J&w#^Vgjx91-p=pXu5Dx~#HEl#x(pLG z3A`rk&}$2kC3uj10~3=w(iv7&$RiEicU6Np^U$drG{>V4KhkEEAXlT+6l0ljhed-b zohPjOx#;;AJJU)BD_9aAeup@xj>HC6^EmV@8%=vPz?}#8FKKw1XvAc)&qBcw(;CrngEq)u zD>%?N4jyr`id&fJ9cUd&L}^X;qRDL&~8as{3nO}nxI=~0hYTT*%6 zHq_05c6$b9LmO^NclyZ&k;;v72 zlioousk9?p<|oXc@n6&0RYxTc+Hj!r0%(hWdqG_FZO|WJI3jhrLwptVy3-ZbI%WOX zvB+J5g7z@9jC=VIYbPeglmh>tD{Y6bpfL6ZG*1<=^ZuTabR{=_QVPyLqJhfMa(5Pinjb=9^#M>#iC&ascFZx_F zuJ6jkZkuR`=*xN4lLb*aUpdmEA2BVu76C|;S&_t-x{5Q&=CGKXS!;+?o%5R$&TmI5 zkZD2~wWT7X8#c@Aen_u&2p(be_JPL#RRhg+f}t7A{wQiP z8NsGMT5zYjEQ)6uDXbn6mJ&@ZUZmpzW+M{o1iq2KOhF{f#b@A4QMJ z)o2iYi+xI9pAPhc7p4ZZCG=V58X;b4S;qqGFN0rL!RLM$`dZOq>*;v=FW2g9no7Z& z1uEP00P3v&ax|gF_`~}DiylBb+rQFrcu!?1f8&)DC_2fFKYmCW6knyO=G=v_kA38x zY7MmzAgez$5FWd2g>rqyCYdGGbprp(wkn}hja9+1W~cVY#=VgR9HX^xb(u#8yDHhT zweh!UozJ;%OPdL3(s1U6R} z`wA^%B9gGN=7~c8hSmkl*rSz1MByW5-n*KaGsU08ds9{|Z#AX2f2Ndn*JS};h4~f2 z;h*L4n(2|VTG}rc3`q32RZmM}^M&>}9SBnGPU0c0_mo~SijDM@#2=8}n zAlO@nizh9Eu1ZvMh&znZUET-+!Fiij_Pdd?@lJJ2fCacpBM= zr!=~TvpioSSJNWT)>xA*&xc|KuS%3x#aFWYjzAVL-lBYqlEcvDQejwRxc%p%u0`9* zBE-wKvKybk;aI#0CV;?jSgeAAXtpv~B5aW*i*%MMIZXOg+G;~pj}2w4^>R)+^R($(y(HR* zAdqENMo0lpK80?r%IZQUIQ0!S| z9A_tEsOq<+gNGlZc+h<{V(dblKjZf&MtLGC?Z3V?MfNNQe{wBeUW#rJ!##1WyrAx0VpsZ~+DO@iyM!V<#WsTW-o=QQ&(>in z>v(SD9#oD&RA=E%F0xcrg0H@WLB*MJ(my%~PWvZ8_pE=yuKU$z4}+vD*>791vD6^x z7DuiR0^sK}51iLAsvn8@m7vnl!V42WZ5v@(m&U{oZ zl>k8P%33%;`-Y1hB0>uX3y8H;@BpOpFuxHLu#K2&NhUnx3>SO?kUAE+G~m1F?@INf z>bbDNBOah(9QA@LG+MO1`a62v=D6n49f_NC^ImXrdU*6Z)j|=f32EDQe+S>Zf5!?| zzZNPB6#ptojEOy1vF5_#3bN#8y@|t;1elIxRdX3znzd$(8o8#GvDX-=R+Pxr2#}=O z(?(^m+TY4J_qI|Qu=cmIN5tCG!0n44v}Nb9%TZd>^PGr>#^g1PrXQC414(D+{7C39+DAXN(Zf4Rk}9pL-DBvp)xd@{=j z%87F$zx>n-4AjybG)gSAGxJi{%09tX=fOgHdVhL%aR z-AXEy<#u?d3Hb8ukV}ROCky7g=mV~>lat^wOLN$a^bM)|8Q<}K#&t98!5s_-!DdSfel&vp zKYAa$%chlU$3?O~VbPfx*pAaE@q=cm3Q$liCf6aXH82na6hZ307_VYS{HmjBUiMM! zy&GQHfd7?T02d}YB!_A++MCT3?1eUrsbLz^()n61VyU zEQhBZ1EYL|z?!j&;a>$ZnyjmxWE~Zgs7kqAnoX%SHyqjFeChB^i{R+-@Hp74AE4^k zF~7j?PINlLIE(&uYXyCG2dU?3+Ithr?%b@RuQ=+k@FqTadU7y=LXowFbT{o;?>)9h z#iHqc_vmHS65&dRtKyIV3_Yos0SjQ#Kebh1uH#g~_SEu%i)0Q7@#gM;TPP%ZZbBj$ zp9zPB?$!gu>=;$yrCC4fPgK#`d*RgyaWhp!{cJA=|l@ZF9e>vbQDcWSvH~u__T@P$V#rDjLkl3exE^GdIaS3Z%TSSFg`cktwYxtw;N! z3}o@rIyTOgY}%oCH0LecZL@VY#Tp(FVK zd^-p*{GDd8beE!h6I|0iw^-mtcf}pkQ{Es~oiZbNN^mACZu%NFHJIe@WF>XTMHkNm zLxi39vhOaO&4?*|iTC#6*)t?opz^c~D?l7Z>rgN)%VnTW4EaQ7Gom#pt??Jp9D_u` zvuwSFH8>N54fv;c)LrPiCp!mM9JiW~Jf94X7e4(AK3cg5et0`)@<80Zvt8k2!eo(= zz*1^@3-P`>0=SMC_*)1C^MW^vaDIhW%G|B#V|;mus>YjTyF%#P zjZqckVei2Fb-oPK_=7-s8Sl4x^@M!D0dq#Ms5B-sl`c*p!%o+!^@8Zvg1uKJS!`DJ zAVM!Buw%N{UKJ8o@ahE|N(lI8rZE+h^D30gBzbHr*%JI!ATln?bjBjC z^n@bp+tZNrN*G@=c-?Ij`XpgzL4_G~*WvqMWKA8Vd_tN4M~ba7Bz7&)rmCmFq93gIO)+mh zm3LV^5PR>nMqiPVgqauyT^P@}KOFVPLj&T9r){y@NYnSNaS)1+<(cdskm_TXitEwm zDwT{P)~=r|`m#;$X!TTz;bpsgCOFC!+>~rR(u*MKawk?HenR*sD{i4eY+Ucg*C}$# z*$UoV@+)LNQ&eOzK5x4H;YlBUBEy0N>B30%Wu&GR-%Wzo?+WH2n}czKV-?vAWjs}N z0c-ton{8Ma`bVGoFiT%lU}RB$RUwSrQ?o71NbR2v#t3V#6s)E- z(x?u#q>x4>h*9bMG{HqWelnG@UT0sZKpHV7=7>Q?of?#p^PziUU+^=0B{4+uX}@yd z4<{35+P=c)W!Rk2yr5K0}Ye7f%?V|EUHARg5hzuut`;FnF`G=3zdrypxS)wQc0Xc zQsRjb`yi~FC02B#Yc3#{^m?%D!N4sV%m9z^s@}AYS+PJgN|OVVt#=2josN(%&}R6p z8LT1jYmZl&R;4(bVfkaQo-crnK&?Whp$FdU!jwGvTE=kI0X+ZF75n1P zRyoG5V4|O^kT$Kg7fG~^3sKIn*rhXB0e9i5)$@UbQkI?`_jsD7A^?3C?Q+cbT7Rq~ z4F6;#baVU9TK?A8MX__~zn0+#6jX`vEBBl@M<)KCt6q^tc{1WzdBO`AjJ1&>wt?$o zlis8|{N)bLlJRiF^!Ct{_}&)h6Sy5h$CyS`$rol@Y7wF63Jftzt$RRLBy5D6!v~x% z2)DCOn-b2Ve_p_H3Fq#FiL47;gm6|#y-?Z9hKZWh4|GrV6JP+*Ab^vvpy*apix|pw zDT9ff3mW-d*+@s;U->R>SG+=0%-pM*AxMw;s^-i>dm$v^QPt6MAE1%Va#H<4vpg{& z57RuHuArGd*g9)n==W57OfK%zH|OH_(!JSKvbz&Su@ua6d4Ws%QV!M~?(h-pE{L+9 zD}fZz7{0_@NoT!bR3G>F;^MH7RO#GTLC;lC7tar5urO!0m{}9C9}9>4Ii7yu#ylB~ z(TjlvSb&?WVPQBkjYvK#!3}1+3R9JqkhiwXGuEnw51Gg zxs<#K4}u}$N8m3pN}6pv{H)mCBtj?_(^I??E0RuVBXgr!C1Hmm35%7XGLaM^vQtM} z4$Hx4x5{*%W;crcH^0uZxvo`R##dYnODw#>SNwgYHl9HN9dvD)Xjx95&Eegt?BGlO z{_Y*j$v3QxMZ{vdQ4+6Xg32TK=?{N!Pv52`nWvXb&yH6bK$o(v^I$J8hwER=WI~wU z1ZjkpN|@hN$mwiWS(L`_*^2mv{|GL2Y0+z=GvNkOgkMAcM7NW4dR~N|qlQK zI#jP>`JmXC#XOidqQizvNu;lciwO3j;dpR*R!8mWI>;1C55@X%!EW~3Z9%G<^@#{Q zbo*5)Ol}#QVen;+M{}OtaCK-wu!0te>mu8%;*hi$@*O-giN2o3ITz+X7kd|dV9BHQ zDKOi&5e#u6;=E2OjWf`qZzZ6(cS8nr3;QRQ=AFJ6>IEDGaZ38UVt0<`izA(~e-78Ub zI8LE#xNeeKY7mokPT6DL6mht06)Er-egsPto|#R`^JK!v_L&V*aWH^PU_&4Z6>I9aC`N3E|1W@^~7EpEF$hnJr$aCFl-O zEn_n1A#2`n$iEIgM-2_x{ZE3)Kz82Dy{g$-?>@oHD8hn;j?-Pu1nX;l+a`E)IGn%) z4|#$|YJ%ZYV}gg)1XIYPf`*T(zTo9>l}ofn4Zbm6>%LxBd_7xo;O{(2rud#k$hbDU zjJ9Ci;`=S!+&sIU?+-Q<&%G*QECw+;JsAuhKorRcUEzlk?So}0sC$kf6fFQkLJq^p zDYNhYyu?IT%D6cMbQDlrg@u*9rnGS$euxuA&FO*|ExZB%<*b2d_g?);j5$y(i zq{C-Y^oBnq`qmIX52ppf1TC+yc@)PVcN8b>Msf0SM{(M26sI3|6ld*5arSXXF=;o7 z$wwUpJ0*>yKu_djj$+tu6vK}-irWJ&wW=yEPDKt=^~+G(wazN!xNi0tRr#sk{AQkc`%&ILt^-C>hP(`;A5KnA`zL2@&;vIb2#2PG zrAb)={aWp`=Swk|GE4b=m4^3<|5fU*RcYzfVxkTGyee?Cl^-3snd3*E+_6*NsOF5| zp2nTm=6d@|o34eVSDlpI2*C=Y3Ck%dJ=t$ld^q#R!N9Mqpy4gH31|%8&?NF0@%!o$ zZ9>xU@pD$o#soRpv;3yO-oD}AR0$keP1MO7A%o~Oo&v3UKbKc~Z@}_ws(qTuTkvlH z967MY+Oi|hXluK;{R^LcJZO?;X0jHuqM_p9eZ9906)@PUDo7OU<62O-4=HmSj(4OJ=?BwK*V!a+U1FN?YC4&fj zb~~y87btQ9Gt^*ma2SCwp~fXhP05(yGqk<9OtUP4roD+43!G1w^&|;9b-GeiO;$4E zRoKMPpV6uPBIJmokpCtPdx<4n?cgliRz{xW_f`4`P7n*T29-f9DysL!$?R4vp$K~F zVC}`(yc8pv!SeRZuz)JFY$lVgSef;~5R2->k7(8WUCVyFs1$gMP{Glxz~8T|?zsnt zYNAbj<#pjEj}t8rF8BIZdl`~t(b~tsFTQ*9@>lR*#PQ(kOc(zOCgvAXZ&rTPef<^_ zKQ4OM*~-7sORx+PM41UQEH5^C<*#ld0^VW$8{#%kD|hI2y{HXX72Jkb;94aStb*ZD z75=ha+j5hw7<&_x^7s5O$})sfCgk#vL=1_oV>mgUcy>`gCX%WH`{mleF%}0Nag_bf zvnrP(O=e-aE7b9pH|vzjX5CZ*xq1BJ6B7*+Ul2=?aUzdWLXMnmrF?{FuUe{$zpqxx zfEgI~1zk?9Xhxi8H@nLi9_KpVhC%n;MhQiQc4})LW6>PEG&j=mdBXqbIin&5kR5K{ z<*mSxOmflLTxIfJ5GM&~O89A%kQK`3_S7C%^gf#H7{tZHdV2q1<rX})BtSXIZi$xe^W5Jfs`?ylv)o>UMmZ=OG??@IsD z-0?$hkxDj0hVfzTC28_uCt{s56;~eY@+szDiNdJYn5NLD^}FaA<^yKCr>U`dXM!)q zyy*%}Wtf_GTL^wNeca!9*4=T1MVL8nyyoM+d14svW-2VB+T$FS(0t->4`|%q&)HP zRJfDi8l!QDD`U*gX)WuN&h~pu)Zvj)bbz@-hb+2i9h}fY>?@2Tmei<>vy(?8jjYFT zuCtGWOPD}{Ot^R*-WX3bSfGxvE2tuFN91i57R;m+Jc45o(dUu!reyx6=11~=Q?nFx zKokvL`l$WT9Ig)rNB$--O}f&Uk%vW|QZk@Gzw&B6S|*)Iu{$i-d)kyrR<+MH7FG?0(X9TY-i%$AgQ9H zY0E4}(Bw`ZBc5=0+UeazvD=7X)hO~+qc*|TiviF;g@fS?b`0%)f ze@YNj;BI8HP$`ZrWgNNuVAjjg8IOpT3ZYU*;$QfH$D>E$Zw;lA-y2^_C9npS*WjWn68DAJEY#5g3O2po^=HQQB4 zbwT8f#%dUk;29K;;J^5Szh?ziN*4G+@&;h78khMzL_UMyVh0N}iI-uc#SVMGGUEd= zh0WW`CLz9}&~g$jwvM<{Ll5xlRAh{B=FFvS5br701*1bQfinc}Djpl9dcE~tP z<3=r00WEkZa?dQgUg{!w%!~JRL#GOVs9#*GKGaB>g)E?CY6%pU?LoL{3?S)RNOZy@ z&AEZuyT9nk?h2bfF%x;vM)aNvL@nmMdQZ(F*K5V8_pqv+bwo=;YfGCJw3y3RFJ9JXmc5CFCb>^Z)Ni*qZGH(r+JpnGOXjjD|N*+Sh27to$l+18CGnQsrsiZ z&)R%6imLAU^WgmaoCs*$r-Hcn6d%aMtHJu($7R0El7&x&^(srQGB_#F6)dzQI)yA8 ziEW;{9nm3g4F1bL8vSKgf+M^r3n^-l8bn4Mjb5o%GcH`55rLxL(^2Jg5A z3zpEoSGk0Yr);T(7*qm2aS+WDDMdu8Wqw^f?-C~7@l+^iXs!^YnyAnLWH1~Avk%b> z(|fF2dPhOv89bRPLEw_YrOfcnGw3ohbb*bymPZd*X#p!1Mdm6l!OVOAEf^TZ%+3Gm_MbkeyK0<*2!m=vaC zR8(n0G|6haPvL2+Gpb)Yp|m8~%V323k%P{?qAC`h+@GgM5-U>6N>HnECcG zBX=>ad_fCZX}Yk5d4ulw2`4>t5Sb1Mn+74liw_La(hJEyXO9WYZ$84vD13Yi7n5f{V4IO878vw zx`>k6Wo&HlZz{B)np_V}->sYwmnv$F?42QjIDSO2Od+fibo;%4WyMWO!g`;?N zKwVzN0$#0;`CLW>hNlOnvs~*tAl2xaZqV=|E~ehS6QI|1^$BL(yMC=-aC*b zr^MS;0z_6MVg03nQ>|>BUBiy2fVwn#t%A~e_&y6wrOp~Sw!qK_2bL|dGlKTsKL4z- zj-Dfl@L*{F*^2a6!!ZBIO655*h9v019*+6pozQcWKZXy6Xn(*uoguhHh$0y+HkZHK z^Ku=7+%xJms7epjsSRZcAKT z&tTCd%RHP*Z~|eTY|y^=$W9{Ha1kr3$3A$@gy^=xtVfT|l8u(I2dBP3QkB5roqj-k z&pbqz%krL_N&^O;!p)}INRxxklt&__z0x|gZ(%sDxCbrvvJmeFSc@=X#aL1gq{Am& z6y|^`>_~e!V?H|ma?7J*|0BBM@F-Q2xu#S*st>xVBTLWRBA)JveulFZGv;?hlb#=` z&IGLo|LQ>3HCUMBR!Vn!oj-6qTt$h2I;7qCt|w8c4)6c>GweUitkXg)dr8QGkD&Ll z&a}H}=ad*%Dk2zgpb4!10fr7G$}%8mqmYw;JB3zq zHT*{!)@00=WMwo?3GSJTK0=6S+*?D`b^CUFSP@{iHm zi3Bfbv@Oi&o+cXy*KnFg;bnCo9wT@M!6^mwy39;{``5{>w1Q(b1gAErfmoQoK^on4 zwu6zsIDB@f5t!jJj8o!uK^QYnS1Ix;E^031EQj!n)Uyv7*YJv3i|6_CN9X5{C?nH_ z*X$9!W{>bS>$TjQtOsF`M$zQqbEB83E0(7@1C&BB)FhT(>rk1RxcKmeDZnvbasH*# z^U%hz;0U?yxBtLrzQT_x3_IM$RMGHqx}R9A5Sr%9F<$CB5Y;lFw!GLE(Xzjwy1tlN z+H%--34h?0C2O0|JeRAJ&7e@3`#ak!R)th8T zaOriNq9i7&_A33CA-*VmCUyTypEi)XI|O6ZoMGmxK99k2N4gft1f%QbEI3Vx?hy{t zWUlnET;GaQ6nq=&cup7Nkl4Fms(mvHrw)0pomAW2F1MAxWbbg+W-|e^R@NInNY~0_ zs1A9IeWFfx@Iw=-`lf6m`Jzaa6ZAQXn5B$W<1tAZLq+RV_}+B2~5Rvt!Fs&M=N&{56# zQ>$D!HL8VRMFz$tY86RUEzD%G7&lpp*;PERmaU@u^9L^Y*5yJn>&K1W>mWr~AC-i2 zH{oFT);wXMsWVUI43un@krMqbI^@~~3(cv5Vr>U)vrRA@3^-$>1agUkZZx13E-lgO zDj*pn6gN@w*AX2d6y4l{vKk_MBk?0!wi0|FD#%L&RSl2Hitix4uOnF`I?dh^I^f~FRE%>e(h@OfFjW_}*l{F7)#HBqGep*}gJ-Z~&*DVJoVb|$ z9DLg?W}!H&s1qNs&_%VFJSd%ZssfYW{U)z8GgxpXiprVj=dC7 z!t1yl1x>w6qUM6r>UnmJ8_9~acI>B*pJ7x@{6J7Y3oMxyuThI4M=>7w0samF`!O2! zxr&jkvMlkvh7mkynTA78G~VtEjt$p__td;?NioT;DfP>>VKQmD%aQs4M-y~sOkyP{ zhN@yo#cm3Q6-(`cH;YEGso}=zQdNFrZDq!(iPb!kynEQ7Z>FwrBZh4-%$KH4s~TR@ zer5PL9_L1ufy2Rbjc`_Sazy4s_9#Z6B`n}%hV3IpRUnlCOH-jr#(WzE!DuO3CB7>) z%QIM2tnbe$YzZ%e6xha7b4t1O!!kj|YQ8i%BK2>TTq0b?$jBDE^iouMhu~zfzUA+? zgz%OgzpPHi6{HAG_yRwHJmnFHtJe$XeN_zpA3EAZuQpymDHAn2Zs6ttX>=0n1lD{7wm1I<Bp&T zUW;(}+n<=UXU}T*d*t&7rM+d&bLS_fGIEIdgE^=ARe0wl_=zsvDpnx|PKGD27!6{y z)EkPBWUxB!tAODp4+a*d!=tGfK9;0cj>$}06vtUyf>Cx&FV(-42zwkbv#R5WEm z5Sp8^^8QXsXdtv{=JsEq{Y02T9=Nq*RV$0y1M;+?q9S0ce^<5!LsH4EL5l8Yh5J3h zd)LM7Z;cnWEnc**iz`*-8YcE{(84}DPy!n54D5T9%2})NU!~PJ6O2B3DHU9aZ&j~R z-JBx-(a^Lh7DeDRK)dXZw^NrKVi9N{`&Rm?N#Y13Cebo3#6d-0n?PBtNsbu`Lm><3 zcM-o2x?jD)gZ!fBU`@5tKp-%c!p=#Zw4>9F#?AO^chz0fv&NEL^Y(oUz{6_6gs|fQ zL6J|juqO(dTCY&($V16Mry`Bg)DZ2gGQ89WlGqzw^&}RdT{85^#MTPGXyDF+ z%Lop^Ic)XlC9Fev5>tF%478}&5@%UoUZFMQX-L(KO*6K(^7yL8BZGxZ2^+e~pOPfx z)nV{WW!M1M4W(5xFR)N_!O0urS_alc=@KnVq#sCV71q}(K8;ea{xU=_you6qmmt=y zW^74~hz))xxaSP-Kum>^L4_NL4v8a4v7(CY9&YjxY{6SR3$T|jVxlloOszV-rz20f zAhb>m*vRLjqr=nFK}VQ7g#w`)oC4g9Rm+%%^B5N_BSyfK$FivkV~iUX>^QNRS?81t zept$Ri@6XB!8;E^qzK#=nDp6}O)uVt*hQ7!nAl&bdt@&=sA2?Jy8+d(+o8&4? z;}Fa(@%F$giI=fm|Dr?^w##!;tii(=@jIL_)bBCeF(01mcs@^XtBTQdFexq)c(vC7 z>^bpz9nUTeG>%u8!q^PtDAX8rcE-}Jz>pejYov4Qs910XE$ks3Q@=>WH?aGkm&n&t zZ^n750wR2@iRrMd7hUP~MZ#fY3C&u7zR(XgnhY{kSTVXd)El{lW5`B00ec!0* zA_6xfxhHEN2`a?y@oj8*jBmIY%ZfGl3#`QP2=j6Uo@=%fM~gvOil`QLP@g}Cml#Wr z9|im&-Ba1Sl(V!HcKw$Ta-(cu-VJUzQ7>jPD)WSyfN4W<_)_Q+i*LyS6C2kwN?c!6 zu$t0$Uek|eqoc~!j7Uy8+oE~I7#TGB6O7LYyh;cgW42^0&olXldSOM%RB}P+0PIxT zP?&@?=?7G)$#5_r&BY{H&*pGEE6ac%2)#k88!mFgEGOm$H5q~=z6*_|XM6m(rYhIp z{0fiS5MK3+bRXZ(=A4AzUT3uP!yAYD%?#77awO`Q)>YZH`7=KS<>Dp2awF!kL^rH;iAH@*kORtW-k zJ1()K>r*dRkS-~GrYBGW*WKu)X>kOvOgy^5)IzI|*r;5l7J8p>hZovJCL;`{-3Tsb zbS;A!r4T_=aDa)|8VV+@SV41?piP^0(4aY7(56jK^uU0{ag$vUFk4cYE8hZJ=iGH~ zuTF3O<4^YBKV?!2qCDDo#7N4bd)}l5!DR{?@2GKswctxpEn&ZQ&xpb7nV^ccHD^q& zPf`Da$B2fQ=%BQ((4{3?;y9nn+MoAe?kFQv(wlP6@DDM5I*I25s-8vCpk+3hXv_7b zJ!7XF1Z#Z9j@~1TWlbU38!{sf3F%2}tbv_)t&SEMIas_Pmw}_EwJCeC<4Fy@gnAA> zdcxO=ADDU65XH5Nl|g$DCd>;fU`R~B8ZC*GyZ6!fo9>Y|zDuymo&-fw;>jd;!c?x` z`uwqqY&<|@OIKNAVC(Gc;d!8htE-!YH|7sGm}O+XO1hvdXr_tQrN8;R(ga`b}jy-%#^I z*i@%nVjtY>!jyXZl1lNOgXxA$>%lj?TCAR=CS*kn!fX5oJzhlf}X@sda-2YI9h zTL-*JU^(xMB(VHjl-Fp(f;u1zT!lvk#g0$AJW7{IEC>OxMlIGg|M?tsKnzMZdq>s4 zs;&q|fq^79Sl_*68%~vjzsnErMnrewoZ;MxEjTgCHjs%j58>?z9tTBug;EsgxU7_4 z3WML|u{Iyq)yS+GqK9xzF9mCWK0+WiJbViW+&Lb={{@dQT!HLEu0jP3LPVyfJM3a3 zsmdcv_}%`JEDRAZQKckI-C(LHSJjv1Yn?k6$x=*|a)d$UTIrMR}n=bBOUV;R= zTQ(At8w!qv93nM}DGdI5d0ME0&V=ox^E?bb{Bk!KM8j1QUS(JO?~X@YbFJO$KRHW6P*AtxP)^tpCSEr#`rAgob&m_NIsoy4S%^FrffP0sOU$Ef7X5252E!Hm<+kS;k>MfYcfsJ#8F&2OiEX}me(ho#YIv#d(C%09e9 z#tI9mJDUE|4#^c$97MF%9sUT;Nz(H1X^z&usrv1?$5giE%lQBNRJN%(w=z^=>bKt3 z_>!_Vrbb05mSDm}V$EQfU$%aieabZTnqH0Xwx2Mq&0Bqpq{(Oq9kVLz-~R#SJ#q?H zyrbCb8xCAJ`<)EQh;-WpaTxpz)=mhE=nc#x-pU&@=Fxrgrq@D5gmI@}Q`C%Mr?@uG zXU|~#{WnoufQ`F@$(B7VqHxP0s}Rg6)PY+?42ubiP0Wi7aVB8Lr$)vX+`3)5g#W_f z))RPq5oRzf*2+1X+Se@vp;_?NrmIXF1I7Uh|0H9~I4U%q86P9Hm{la7M%b7Eu-)@IS@J!=TsZ zt}l71!Qw@Pg?sZqv%bY-(q*Iydeov&gMtTv`7m*Li{A0oLpSYga-y1J30Xbs9787> zT~VBetr3Sl{!YwZiuPWVr;iHUYTzFxJkOXno-G*Ybaxr(zo3&w_Pak-Td$%x=<8x1 zmB>?}L_ZE}n7ZHeY@{@fU_cud}qQRZcfUpf7oA@~)iJ90g_B|8<^k z=Q}Y3)cs|7r0-!dB6x?4k?$oTkLQzO*ytfi=<;Y2-uE(|NigQ+OzMA6g2i$1uY z!lS3)L+L$!t;$dIXI{BSC)j7(r5#0*1D9JwH--old^OU0!?>j| z4+=7M|hRyhbGKf(u zwh;_w;j$|s+0CX;J@}f|9RUp2n=rlM_iVb0ldaj;EX-xLOhNQ?PQi3v6NUd` z5v5?57pi0x^|Emczl*xroB*P|PA8bbB1GJ&sEH_=WUnj9zj05C@Fm#gL3h1b^(+<< zVtOsrFz22MGW(Gztav?6+(CvnBQ;!<_?vJhHP0D(7c+*=3-+#pwyINm6-5cZ|LX|0 z^OVU3!Z_JsK)>^OFdRJ|3=U6*0{MuYv4@W9p5V}U(HY$)Uqd&{*Wl8>Y~qNz4)LAZ zfGePij(uEEZA?l_?$%H-Q$)i?U&^tY@~~$Sm#&7hOEecR`BU7aE~988_Y3eumMg}c z$`Wt>s5CszF>0`pm7YRIftXRuQVz1h-X9)L5RKG52^QO69H%`A(k~vHFecn87g4l* z6sJsow!nW%G7~xG@91B4(d3VVPT#CqT*pNrP+KUmthu-F1~^iAsTd zeepUtI~fdB>=sYN{`qiIT~kg!h1Ha)H6GXo%>T z7+;y?*>1V=ZT{jb#5-sR0nOQzLi~kLT3^Jeb#^+=?kqv%kV0XbbFW@O@P{d93MMM& ztnq6)IRDybCaT)W+}TxeERUlfC*qy^gGunsDvQ$ieQ>dBlf#==3%|{Ul!KY>P>KUG zJL(fda8zhAfjth)dO$ zxL2BmhLcBA1Sr%FNM2Jv7IBq;I<*>%Y*-HmmvmuHk24hUef>!IqJ0J;niUR>c%y7n z`1dHuMDMZNpVu~y%?6tH9j+mvN)KTo!@}z0ijw6ek|)c2>y!^f#D-LbaNGHeiHuC7 ztCtQ=Sef28SNr_0$~Lep)z+P($wzp$gydz5ns?T$JM{3Os=!wcFMpm+8R?6F431J6c$pEEyaJI^D3zXrE#nfK;zwG*Rck7B7pPkZEAH3Y#KxDt=QOzh zgHu|wx>fmOGVl0VM|0R+7J3)yh-*5fF=7g|G)l^g3a$o93~j(GR7mlnR~b_HrW{PL zs`DG96AT=TS;?!AqK`t{k?CgHjdEmswU=N8K&n)UHJ)9SHId{l`Bg^gb2?*_6Rj?J zXhvj0{|}$mNt)Kt#MYi{rAUz*$iQf&2wXnbj{F7YPYBEMgcH9~^zbsCU4n&V6^9D< z#6C}lqdqxbWnHB%2b9l>V3zXF|!eK92DEQF2-Z4@geV=_hQ%Gehx^oO?k zt|$lnoQXqqI}uQnHw4o}d*7)|4?=hwwFd=ycQw?Z4P6U&uXU;w%`xCM(r4OZBL)RS zkWY)I!i+Q9+($N4fo&^YyJgLDITo{*z~0{}If(vx79x>q^a9DWHQ2bB|Hx#$qO*mt zU1$#GS0>JhyKv$PMuFf40sC6$yC0mH&y)IQks$%J=h(Sgee@TjE$vci*)xMoXIV7w z=)eFMfc7hxyGSPOJ&cW87mp;5LfxyZG=(3UnlP+E zg6GVFr|+Ix$H$mDU~n0eHdVv}Dqf=D}-no-U<0z24t zs>d>`S^c<`#Uc$A%Gy^A!mw5P+t_^cL#*IFHTv5#ujp)}O8Srb9m!vBXuUAYrj%jA z&tNR|`}hY!MTsI^d^EEdq4JAy+N%=;u}i}nl66Sd#|a z=3P(EVoj=74<_hr-jRUS#U@0bjZW(hbvw_B;N5N+!vFG4Lt59HWv@}%quj@`rjKQq z>OMHhyNN0~VL6b>ZlaoQqBYE-?uZh^-OZ-Acm5dK+|={~Yiu5?ZmfK0ce&`*3yxGp zCXCLPi*n~nj2FNv&Wsy$G)TJ3S+7Z;q)qR$s@|h?7QWNne@>NC-FeKn{G}~zA`sv5 z?pcz=9#pSE&ZP4>N0s{>)-v&&a9&a0&x4`(VSuMk(1B5v?+HGnk;Y-i*rH&;Y>QrL zqq3C~J==h_c(#RS_3Y9u&D`zZ|D+W*VLnF;X#eI$VUvW8-5ObjW3ua4c@$MMqngof zHqw8}Veh>$3}x7YLgaGbQWd5+Ua`ZYl(%SOPtc4+yCR!3c8tEPog3`^ktpfU``jg584B0 zk?d%27vwX7|2!hg(2*#;=I0GxE2o0M2zg9*^J=$TqITO=ai{?zj<+FAJ!2h{bJ43# zc4#^=JINtlTPbKypBl0tc~Goz$LWqvtmezf3*CWoA!KQUXj^=4G!OSib$DUW9geN` z%h?FkymT0x*7;+jaRf=j(z~HD>)i$(z^UwFzeIz+h!Y!*mH3@MTR>~YHULIIxxW&1 zv~+^zKf};_rC3pkSfI7!6lb7~2yQ#QJmH^-*Xo%W0ro1Ki4SMHJGK9ke~l8v7L$t| zun+Ir{EH_IO)IXPC-O|iCw84xmSzx3{eclyV&V!uSd}d;Pw<*qRBYkQ;auN9`95@D zG4pte9!&(Jk~rc@;k&SL*;M3CG@XO#Pt23m1_KWRa51Zi$17u_4hy-TY22%kOkpt6 zp40;;lJIg8MKB^6swozmcqwpB2cin-4<(iO$yoD=kJN3V`=Wwaa5sbi;UBOjyGI!w^RFMoIg{%{l(zx*NofzwrF z?`6BCR1InRsW^rRk85)-$K0~tn!~RSgD;RLsxMvymVlM0cIK%_6}e&s{_2-MJfjFi zcX-^B!^HE;OU=#_9Q2Hcy^G9xxVV)1k8||>3JT?WVq)HLEW>(epLrSI;MMkoAqa`+19#$?@a$P9i1SMFoEYYM1%vytswg{;NMGYq0ZL@VY z#r()L=K~fVrE%q4!;r5cXk7$8?}lx4Oo_fiuPRP9OVXQ>xj3rJILR2>Xee6n*IoS` zVw-9pzTI`)b6SI6uQf7*mao1m`bdgA`JVDyGVH>Gq!u{(qZz=h37q~YYO zZF6U>nwzw3ZqlMTEb(a79A4O_x#1v)xPs-20v4`-H#asuY-;@Wr~e==09kSASp|v= zP3%+O;L8+z0~T?2I5|EF);l8LZ7%wwtBJx6&S`Hk`%Dt(!>Y$OP;5wW=r9E!Ew$2s zsNJWcT~lcRnpJ~sGrD6gl5E zbQLE14s9~{I75SW?>)5PM;hAj{zE(aNJBfj|Ij|tTASQ!t=)dMACnv7eFQ_BnUoej zDH$*}rCXP4##sz7WEY%5dlaeenT?q8SC&EiyuOC& ziFs|HZSzLPWn{8kYpu$i7+mUdv+=43R>&_g7^hJ&+qvZe7tvP6EF4-ByiLikM#_{N z+4kl;h~FYAe{D}VCg)EC(V9)T_NObg`ut3R{II3-;HQ1nq*0)+ z%oEs5z!bt&vmF?-?H7?`QZy1ha?uDHX=7oiw+&+({`w~l^n_ACsMt;4ArFK3!wPO6 zGxe$TNhIFcSW}oqo6RDV<0J%kgsJ|pYK^lElXM<^AjP3s6z5^#t~WE`M$FaQ{`97g zWmI;yk-|^(9v22}HCz@FH@30LBtfM~=XWIZKWI&se!(1q_7B8ziqrwF_}|V9Cw14z*3OwZI;7>%z~$wR`_XnQ*>$qUi$^MI%C9H9}%wd_Mfl>BVH+_fmvW2 z%A5z*?h3q66&y(BzFycxv`*H`lW4bq(R`{)gqrxx6#Vy8JTf@XA~uUIHeoE8YC_bm zixWz!^SUvtjVxVeyr$EgL4*Oj^ij~4rhotf%EHgrzHEl70F_s(o1;2VpVnoVc;izw z2{3zB!;L?{};7tC7hQ@@p*rvi({R}gj!*E`ujwk2% zOUe(37-sWCIFH{HQ!y8yR#RcVXRS$ZG+d{-YV3BFkV@<3YzY3YQOBY#3bFMuBcq>A znS{|V|D?86CG^HpL5*T>M(grzcpj~@8SXB#POq*je&z5ufx~D$O<0pz1hkohIlqc$ zk!QM|h+mYNp9`U(rMaIIC|6uausHc|OMXah-Z-qrw^fb3phBDWBfp^Q4}&La59#y` zk)#4VIQ47Xc&3G9q$W0l+Hu{kK5dnf+C%=^mdY`l5~IM|kQ8zXk+8KLS1l?*JtbBa z`y)OISJZaTmGz|}I^_s2nO;BlNL54bXnYq*PYj}_Ic6`M}Jy4&Cle9^mW`GPA2=l6RA8no8$IWmBqrr%@wI&}Pl1HF{=Mh}?Z@4(S; z6=Kweyq{t3F1+caU&J*!^RgGj>#ujWgnwQAhEcwu@jfaP^nZTJb^azfp9WkTKrCB$ zs!~C#R(gHUhP|LzOB_r7h=p40vK4%{zJDBi^?1D&<;#8J4~^==>&_krBd%%2iLt7i zTZ&-S9sTXZ*bh8gQ`{*6b@~2U?6^&h4@@Nx zk6aa@8BC=rDy6T`sOl7EQc(7D2IiL%0^SwDRUBP2of0bz8S*yjW&8F*UB-xoge!1u z>M>mQ|IKIn7pm=B?O8q{JO)EWeYl$b&K|{|wUH_T*pk3*>eYSd-#vOs84L^T-8-nQ zx^gw^%&)!@KbP z#*v^c#3Gnwj2GrCf)`(W9ekJN;2(dXf5PDh53eVj?2%tY0RgZunt7xwYuRsEWz*C0 zB1Do^J1nVO`3*Q$2^M4O5U&C6ss@a6LK4xwqY(cyh5wAhphev#L6I4IjB16W5dMG4 zulYD^e#2B;;f(0^+t3Un9W|E`>vGrR!wJAL}JGZ&aVOQr8 zN$`v2EqqIHWaxcS@B{~6=Fu|vDg3S|YmR#q$HZfHO=3rJj1%ELaWRfm?I|oa>Yp40 z!~O}z;pnhb;qG#-oTJ^aO8*2Kf{N9o46u8KRn2$=7>WZ#cA10So)J&zJ9yy>SiGhI z`#OaUCC(0lSGzR4+HEPa{=2(q8qMG!lekQ@^YVx?4*1GObKD&9`?x^P;`c!pcC|S& zeg$Ojz7SUsnOU&dMb^bR)erc2cPsWCb$4@E#~9_qlt>a&@!7K{&mX-s!phdT#IVdV z^~y1sKvdY@4boD$A}T)4kdf+Uy<5{Du>YV45wJ@=+QUCLu5^ZL{N|&L(wt8$o(?NU z#cZ@&_MgDjfeVuwqUC+YrCQ^$@t?Sf|4*DB)v*D4179$=u8il3_tMf|mX)G$idiDG z*6@EZ6zJuspcZM{m)2mPm;_{|w@gi;Y(V%21s!cF3???;BdjJyz)vUIt}-MypG5fN8I3s+fU*n2`(q)zHwlG%kH!W=e|YcTb$qa=}Gnmuz}av*v|t3($?j5oU} z?&69OcWanj-yU8ZvIl=n$94k<{c<9iawo!;3Ej zkU{6rc;_HE4T^qG!{RbxG>Kox1_@};+GQG`<&MOmJH-;t&SJq|6{{>`PY%C*RIG*i z9cH#YU>n-rShB7RFOabpywL)w?82>?Uf_GM&m?j!`YbQPRvq}Yx*i^GDcco>b_1-n zWmM`+v#V2Q(`bP%^1DnIzj>Bh1N!+-Kb*&0*2rjflz-RewblG-u7m_ki_g22QCyKI zY41lH9pguO%vBEai@P|>uc}<+il5&82PH0in}tdc--@5hAQ=HTYVc>~>u0%k76Fyq zT?_&c36Xi_g~u5AVM)kafr@!mfrx2pK?7l4Re)fcTF}@R7bhk_FQP^s@9RK}jw4tS z{ZiY*?SICHK|C{bss)q3ps2Gsf05CS$O_OdU2L1EQ_8k!O5X@%J?CPoU46g>j{(l@FP^#j9~|Q#Bj!{Uiqp6xqp*)uYS<9o5Rx} zsDf*kDrkwKyE?-Q;l4(B^3WVUDWD zNyn@g-KyKwWb}1&INNP8mO78BhF2J#q-Y_WUtxL&sgsMX0EStI{_Q{d8Pl{d{L9wx zQyEj4hc72hEpR~74k&vuF$4alL(QBa)3QxUO$Ka0m0>e(z)p`hZbmH;0ch%SF&h_o z$QW(gZv3bLgLZ^*1Cn-x$(+S5Cnt@8X!TyBS>U81rVLQ90SP~9hcz%^$_msG7J_ML zf53sFY#kBWcrvPn9XttOSN`>`0%%eJKhWlA$*3|^tpdz2Pc%zqahsb47&Frqn1sehrqv^x_ftTo4Ob(aQQkSGwo0J^Rio~8#9 zu!rWnTWdHx3Nm;R_|YjIYq+Jf2ux}^1%$y+KOLXzh~xeE%E0WRNGW?-WrU0Xtjh{2 z^-Mh&Oti>jQIIdM>w{;-mDB>hG?dHhUAEUSf0{keC=r{7ImmUf3a>fp1&ys3&0>UG zD0f0iFGi$LL}wKp5)8+63irsTFi4EX-bqov(yDz~(aB zmROF!H(TcH&k>6#UuL`~&hp!GVs=}>eXSaBSYJqV7>i`G1U4#0y1|@bsvNHKM_wf$ zn$Cu31ug;~u;M2@n5>9OfAXj=t^Q`wyFFuWs=KyPH-6!TfolaY?dJ3btc>AIXg^6= zl=}12j>T!Whl6sp&?djuBym`a!N~F>^l9-BVWmK-m!X8G`dn>4aqgMKu8DEA?PRV` zyvmSoY=yNrG|Eksqf-+utEH9bf}s05XbOG#ndz{<@lZ!Ab`PbPYmk5x@dr0{AcN`{&ig zT3{4?ZF|^(DR(C5$QxbvuX+~x08c@;Rf}j5VUmmJO!Z*@^^I+nm7LWG-cnr4E)W%3TT1YZ^A)bP~-yvHGM0WZQE}^gHy1 z*BQS;qLxwx`oyy?@rq0{WX)IFI0l%a^Lg;SfoC{IxF$vNo`?cW!Kk4kuZ*%O}H6&EwD&E zEfxr$qM!1by4hF+9`YJak)>Nq4XI?jbmzp!n8b}a_$=gU#g8TXh-~W`*dN6F`d{j^+j+K7z8Z7f zI$0!5%XGpi|JNJX!%Vv9783WAA!tk(aQ~&|lHn+2%o=#+23x$d;KvR;PmGrqT~ z+u~Y&If(T->}zLQQ*m?QtS+2C8DR+P-7O{>OU+T{t11f@OHsG zQ$#I^2bnS)l5a4#7LLu3-V5CE2@7{{>mB;kI?jU69e)*2tTHEg=D?6RgL&l62m3XIA7?q01Oe!G>Vt2X_l`tJfU(lbVCu3R|iv+ zB-i+LKUkx$fFVY)h~{&Ad#xlgyqgg+Iq_GD%D@_vt_+=whA@PnfHvXFY?nk=8ar-| z&9_pmu^XfeqAwkaFy~-u-M(UOCgc=S8JHk88Q`WdXRs~nsF#gpQS3R+ed6mU6Bw|_ zRT!hh7$W0=`}8G$qx#&%3B5toE45(d*8cXsRpqrcg9i1Lqai7&{xH&SAQ3G|S^P@t z!l?4>UUgL=J60@IE9$$=%z@~vqZRA09$fy}v2Pl}N^+b{*V~78BlA znux~S7^l(6S*iUlQW~O~&eTYdDU8BhL-sNd@M=A$_(8`a7#zxzS3b2BJo^D%D4rXB zFeHf}Sn+@36D7&#M1IuXUUBZ1g8u~NQYL_<^sB6ZGs6fdA#7ZUjw|^H{Zs@~Xdi&~fsLAdh%ZGkkzN)8~Sxlqo75Aa+qGFSocdJ5+CTIC9M1YGJWu}uz zsuA2(nL}M*;dxT^OQqtJS{0?hc0#fysNhI8R^#CZn$neXQrQkqN0mOyL<~SB6EIys zUS^)*;0%Ms%m!2p!(YrH;%v293QS{gJT#G+L2>)|i8TjeWt;PU-`ihA<$n3IkJ|HX z@@dnKQsYY4d&n5;6V%=@&gb{vJ4|w2-|k^x<~Y<*3;Hf^CMCrna=;kyyvt?1u7?T9 z)>>r}(^>%`F-xaMs1J0+B0--AClgc(Iy>`iMe}kX*sAL^^@F6GlpZ2_U12WS1e~|R z00WVHWLNo}Qc1F_HzciED5N*CG`cZ>ksk=m5ZyTHj~XfX?S(9sg7x+nX}z62W&we> z8b7hgu>fVQG>OTvK!^;St9W_v%{l6s&&VrVBY^oE@e6W+3dACr$YACvv&WAd@)V>sAvLg@O3AIa@s`}85vdk=%% zi?>8Wf@Uu5Tlc{4S*3FtSC_#Cc2D$PJ#^3FL;onyJ+k1MzsrNCxXTB)H_eiUj3gm4@6KwYnm=w291Zn(7=fEMshtn;Lwml1t6`__I zC*I7MqIBcEA`FUxt=(1H*?;eolNRqJzmB3vhpr@6oK?1N z28=tDiluv0-?zEPv%}$V?^`^cII7|L_Hui9$PBSf~XG;kZ%(LrxW84gP zDr<#QNNbn0FDxjAqjcdU&qu6tF`S&T`tg6xJK8QaFc-x4Z=-dlFgiNpVAD;boJ4hv zI1fwDxm6<9F>FdIImCY%)n-{fCldfisK-aZ)WR z5$N!E`t+sE8a&YI2CEfTfL%%`eHSIGKsK99x3 zbCRC zqUfO%xoou}&~}wakz8m+y`I$=38RLmR69(k;Xm}LqzbO&L}cyqGRV9ss6~YM9$6A< zj%wGLESw5ni3Y2?jgfe$0qL3FV0!hPwf?|T#9t}yitU>`fSZ@vUG3)fdy`T4g#sfJ7LlL#^dp7+it+rMp% zY7{?~sK!|xMANh(;V`Qc4U&YGRHjIII>YEh%|Vox>Uh~XlqQ{a8WwM_-*a`g$8e2Ew{ zOm|7oP8FiD5jF5w^1Zu+%)Qm?7Kl<*ug@`B&UMm`ZE~S3)e%8}C*u}zbBjU0MetlE zE_IWk<}5E*&8k7n5|Gn z2FpP@KelpW9vw~AxhJj6MF-o&r^5=5`O%tU4tM=vf%i|>^ZI`6FntK(X0eM zMh9iIcOKeqEB0lk^HzCmjw71R@Y zd$>_vF1_&Ta=mFdjQIF0C4(5qMPn%_IdqE}^;`JB@(3b~ zSo}@q?6~q$9vSQenn^*5IX0z}NihKY;!{ypq{;+XJVS+l@VY+y=Tyb+gu0?pvW^FU zzVTmkWfn8x#R!@1%+n2jC>5%3jp3yWb!`s2UZ2(k?g=6|hTq}kns`}NW22)pIBOpK zDGvVZK7+3uUB3$q|vt z-*DJCqTv8XG;BShswLJqMMI?tdLcil7hw?d<%oUcB`0 z_NF1ofej%UU}>Stm}D(ykzwwgkh!Ze*U`c+=~sdeR|hA%ook*KfjI9Z{3nHE zN+Bl80h6YNE7{g}h1&EzUc=Kyh51fzZ)F#^7TuO|(LUtR;O^!+gLvzWY{@(#+-!qF zjR|PjUIo$$dnyfktHjb~<9qviK^no4nqP9?c-~O!vfLS#_6kv#VlpY@$I4@>W_4Nw zLrY$)WsuCyXu2`7+rK~ypIrnEC6Hhkk${D_3Jkqa6O5u*G(O!cFz#l!=ji)g!#kJ= zD~==%wEIywG&}R`I;FgebZMySMH@}959}6Tjf0KI=z{eoOu1rHvL3qDvXv@UgfYd6 zm-8FMA8mt+ZA6xWpx*i_yhapNTIfM+T}E%PN8yE%LSuGc8OU_$ye#o`3$L*nyA!{#OcxFH9k2C#fEG7`-B$>h}q+ zIsR!RRWgDoT_RZomQWidVq1ip6wF2$rk4iX5oRg zj`YU;^Yi}m=dP>Ez*~ItSK%%Rx@7sl!8kZ!kjMYt66B#!5ZiX}2M@&Kt=i^%5%4Ec zZUxNL9l|SRQm73+qBA@_!~pTW5Q$EAI2nTI{xscj=QW z5LsLgD4;@@01WQU*1&PNF%S8@vJt8W=%h6~0YrbMyfzP9OGYWP^_?Ge1Z9iPd1&4+ z_+LTNSKCu#2e*HTHmw;<@iaG1Snv%uQeuyeRCR@pqiNl$Z-0h1gop`uzV571T}b}m z@bK`8NhQN*J8JLTSCXZL+Bt(MXhE{wJ z0bBW`&?D%3Rr#A>qAgMTnNr61?;%1?%oK#48cAkLmfI@3J`7&a8}yid*|Bwk4GJJ{ z#0kZ_Xk72(ZHr+|YKBEEJnX0hA@IDRp55h0)`Kcb1-ivB8vW(4AP&I>5HK*@hW=jj zxm!vQ-x*w4eeycPca9eG{OFm`290$yj}!yruyr$j9Io022EEr!?{(PzQQWluXzd!V z(vrZ{y-M`u101$K79WDJo{>NfYfx^lZyMHVNnXDZTo+;1y zIz~egPd)N=yX(!WcNl!VKo8K8^?-eIhJG#a1B);DMD6$0-?AVt7>(+0;v9xVw=jBu zTiC3sMr;g?hFZP@jvQd6G%T~)A-{!-c+BIEI_8QoVhf|A`XPQ7%~LtZqX!wJehCMi z(dpsQBp40{hbJe;_+_WpV%~XzS14UDI&PR@yoyJE{J^6hcLw9b$yqQtI~*R3_Z$2o zkAu-k{m@^)K0yONdEkMMI)kIb!5|n8Mu*2|ll?|c+sSF`?c`LA{a$Yqz5kPz@Bie% z=L`MVA>T5$VesR_Du%ZsH~{T8c^xRrhuSUg)EoJ8$P}L*Ill)JR_xr+dM- z^bbeg$Hge`2WWomjasha{6Shj@=gs(U$5@i{O!Lj#B7&UvZ4G{&{Y^rE%SV1x=CD` zA2ZkAq@Tva%}io@ zJEM+`Z(z2?S)Nf6<2nnTJ%^7sL`%>)3X%t-v2MtDio{D;_>bK-Ty@-lF}~k6GU`iRbfNOF44O+!_8&?{OHjgBS)NA7knT^BcXfQrNQX;P zq|?ouQhWtJQi8l_pAlSR7|_+COe0>d0voa}$!B%Y08avyP0_4?w%x?#k%9zQ#F6x_ zF%C0LX;u%Tc6`s)-3yv}MPB8BTsVO0aKh+tgA(H+M2Avk=EOP6?SI>b(IIrIk zLbpa_o811FpWeMPK{FiJ$o@6ZHn*j*s$g;UrMIfe8Z^+-E@@D=ao}W+JY@?;Rc9*- zW`TV4vhh{v(DF|`^$Kl?`4E|_LAh>?f-YttRrO;}5kvF9?!nKj6=>x?DB0C0T`d?J zb2j_SjLqX?n``aZWNZGz&-O+Lup|)ugkIa=t!Fg==rb{M*giZx&&2b~qg0Y0^%HE#}NaQc(hvRU#7Ny8#lmcjc^TWPfd)HmNSn zd;XjPFQi|tJPyh&z(Yiu3##P0{gaLeMEEMg|6;X?8WiBCD68G zD^XN(ehKCoX~^klj0AWZU_Ye0t$Gg3h3h>YMHj~2?*)&dbFd7Bup0ly77nBytgFbW z;7iL72#e{wk^=N*5nw^q53RGNZq17xwpXGjXzrITGkPZGy8w+pET4%b0oh%Lqo=ig zJkE8c0TIc-eaCYfc#N?UP^2B<@B_$a7(@V80JFjrYhi^IwWXysgLic@Bu>Xw$v8a? z5Hx)@Y^WTSCXamm&8|xzC`}1x)L<#Y?4o3pktJqn@q}cO34T$knX;XIK~zgIXQwx9 ztp$t;`-jQVKb0hrWYM%DiaceWNY@Xp)_fo&%ehe`M`jl5TN;===wTW$pcREFdW7rC zgI%gVlEYfd^>He>Huo9*__t;BXZz3n*P^n3*W zKgJQYc!B|ocddzR`?q-%V;udh_q(o$^=hC2#Fw39X>)Ly(oPCpuvbP`%+NBDAm6W z&{9}tc{5P|I=fe|^z*y)D|(%0yQ$GD(y4@7sXpYA`LP{aSY&?Oy=Vq3r8uu55vjcM zdyhd*!d*tOCehG44WXN*5$h?Sp@)C4$U)DZAhUz^L%aQx3^T`)Iea6HSGUAtoQLx` zqhg(M?NKQ3hsxkL0THs)NKvwmMx*dj>MP}(Z@LNAs}Bs8#BOxPU0qQ1;(~((PTlrH z&^`a^gI2kwQN%N(!__c-`g6{>394+`8vCPjgLcK>Gx*5?EBxvG@JX>kDXfFwXJJ}| zQu!~+Hv!4MeX&>w%5l6Ydd%OT!&h-9*D#$hOW%omNJ5s?dhzU8K!0deSd!e7PKY&Z z4Lz6hJDX93A!*C1;4ZeAM@!UWfY+FLCSuAiPypj`(1G8P-@p`UqV$t7N0jQaDpV{6 z0Xcql%+X5xeZA;7e_FA;ibH?q9O|!3{HbCR&ZltOz?(W2akfx%4~-4QY4p@Vd#Ph zxr52aNx%K89%3w;k2^Kbvv9jY8WpmrsI&`%f?_t{U>*jqSMUnaGYy{Zkd50292>k7 zW$ti`E!?Ha(Sjbb4E#C$$YB+aXO|`927c%+Jf>2)s>=zoG#P^RYR?!E_QT~Uc=s`Ox7u(M;!yq4JqL9!;-Y*kU>}6*^sfakE#$GD5N><+Z5ba;s8iVY)R{&be%i z;--#TC0*zqLl@U^QHVyGGol!cmv9reCHbWVm!m7q{ZRI#>&1~eG*3CG$~JYy5rl9z zxWlXngYJBXK(1mFZ$CsPPy`2ndyT^Aej)#Ghsh&zM%5G&mZ9BkrbY19FoB}(JrsD6 z>&i(I-?f<|&1w+s5cEMjVh6zoSgmm4Pf24~AylrLZ`>T#!{7JqlET$Q3ZdO46i27M zo5>;^dI=uY3==?bb0r6bJrZ98{Xh{Li$8_aQWkVkTnCsllsqBw%(j5s>LBN#UWIu~ zb-Ai7V|O+OZBLxJ^)N||$MVu9e}a(pA+lh~e}u# zXqF9Y_m)8sT|fp;u(VN?i@_}xcr)c9cFm|VeXXaeFw55Fo`ft-yl*XLX%d}@SOK*g|S7dPzN5qRm5TzNruR| z`L<`X{SZ!*zJ#HD5u)UDiiS!;IK{Vd31x`TY+3*&z_Zw;R9kK_`-qXjdSAnUOW|Ms zT19{THsRW)6*UCF6~EMRU z(s~C0_J$B(FQkVn8P)1a;~$10BTOEXzsD4;m7|Ir5+zxDwg^c_QK_(b>DNn32GjxTC z?$aVLGPsM=P6wuqC=-bxd6hwvglB8T_P|LWmopog?7}ognq@epFcNr^hp5>DUf^|> z$>f0(7uE!hJVCq`eq0$DCi@PKE*65&yzlocBSBqkcQ#9}Vn zsEJq-%uQ2&tx1k5&a^(a3KGK-&SrxCP?f=8gx5I-w4GH!qD*`uGMY##s#mzBqxCPN zhbHiDGG@bT$S^lT;`M{mN$?|t_@5>!0AN4f;F z5(*qTI7(mrrd(I&7!m`!3Be&)Z?TNR5>!!@m5C}-ah11Dp1UId2R2%y;!=G2u;1;7 z2~6~%cTx0uzksbEE>Qe|cG0}k)Jh?Y-<9avowb?Zm#ml`p4DB!Azbi( zF-2z2ustRd)_SE61dLo^u$V8Jg=shsRdPE_XREkC9$BN#%Re*IXbGzlk%sbQu)Eid zwVRaN8%mNjin93&^D8L)Os*iW)w>1xYZi6dPUgVW$}2p`Jmy-vdQM8wAqyqM5IPc*q*7zSIn0!wcy!bx%}!*xcv ztVH5}3uE#{;(lHx=rxU+cb}HC=}ltwA`65ARh_33j*FvbnQrRX-z5Xx59~C~5Fg@axSjKr$bdV*W(2;d z1l>C-cPn{8)ASN&NdL2g@{<_2*7kGAaWEvM5Xq6mMx=FcPw&~8&v~>Ep&&V435-k; zTK93L;RUz;+dT!>@fvPmo_&l7_)fO{+k5-q*?pv^|Lw(Z^OL{*Cu?PS6=1E39o_IM zOzq}%n8W46i3&lM<*MJcO~U#nCN@5$Gf7=Wt|p_*AF8l z3FUcrLYbPQ++Fdz9;H?Ofa5C6Kf`}$6RLaN3t0bGQb$~OSRsp$$M8?oj`aj@s>3#4 zg*n)t!HXnX8-=Om!1%k`wV|TcmVyr7zA}ArMsuHpq5@J#Dz?#(e3glB!T1XJDLQS? zP)U?>9St7_E|M@aqBx?p12jR=V@#utM~%&pVRK6FJ(_HOCE}7O8!0L|TGmZcY;x_r z)o5^DM+XWyteK7M?cka>1EDGsl8TU0MaH27c!?CPRYZ_pdX8$=NLy2fb_gP3q@}`U zruJ8d!{BPM2xhwtnKgfgSDU3L=~PyG6(y_EPA%dM=73=*VU9F@PW0RmH1Cv!!*X65 zz_u8s?p-*$M9c}8`$(un%|Ec}qzCi>epMc!yTCy}N77N0z>8lqbt9{4QTu#~DZ)nG z%|f!`e;#~)`2F|aBcou!>8y_Eu4Br6naxSTE_qL?*($Ocrb5Lk^tLjR3M*Nf5>2)B z4d*yvFD1HG0T~tZifnFk;nl@CH?%Pn&CKmDDs6w3aF{mUOJ;i}&Gr-J`R*-0U$?Z& zO7#57Tls^I==2Yy*cTl&Lg$M^H;ubhOT~G;nQ!wf-gasS-%^f#21_lr!hcnI^atha ze2MO>H8)FJg?dW@QxSUgna)ee*8f2Ty%%l%d;q{g`?o%A6+HeK%;#=)c@sR3ay%Ta z%08WtFe^nGDJ>!7&0Ic6aM9AjW~>@H@4*R zfW$)CWdCn|W85P$J4;Ftdfg;~;Ef_6@jwZpKSAC-24%lHND&gcDgdc!_3^=-0XjR|MwMAbmv<aE)>ZX(G9QhiKtf3V>KQeG3CReu*v)d`{u{2S53?MX#? zQH0outx`xa2AC@w1%+BjDjoCEDMIV5>a0oup~J|@>G{4AjR7$VneKIMvAL9N)Pd92 z>OP-B9w}9OZghNs$TF%#yY>sOQlb$B8cXL3*gg*G#T{AM*X6=|1pHNS8Fty@t4Z>g zztOXxQA&5&GzC**ePHxI|G>@6XvxU>42_qaX<9gky4Ct5k4{T!eglRcn`h*}GhLkF z;4Xzuayji!c2Ha9RN1m^^T-EZ4VoVCCQ>Obxp)yq9!b3`jnu-%Dmj>vsqMT z@zqj2sUNCW7@kv9UZ+rZ(9c^qf@D6x>M;=b$K);OZ2bQoBF#1;%TY6w36szo1%9HQu;`uvJjltFF$+E z%{XPtG_~~=rDR<~ZD?2cPHjnMzCKK+2~}iTGxZXjBtTg}lB~dgWyvL!@)*~x8|28v z2RWxxh|fzIP;>CyzEw*|&B#N9%dibin5aQ$BQSS^SH>DTfvp{IV_4#i&1K56$f~D? z$fz^?iqU^TfY;(GIvc6K)cxaLye6#IKhgAO_LMM#)41&b(HTdswvwe8NJLG__(am7 z8s<<*99mg1T`6!IILr3rT62hSeWJA{9eKxJtK*@yp#ZGGM!Iu+`Ko~Q5(q3W9TObi zQU>oCklsb~5j@3@qSG_@*KzdYXe@}=Byp{Iik%s36ZsHPnK=jnysgHntOts)$T6Zx>1qDy!i-jn zxl47f)xbbHzLUK*%mrC@SCjaQcvX75d%ZW9-dIzJ>ACs?eR}pffo9SV?6~m5=Xn`D zTF(0%w{OQLqXqmgPc>cX1_q@}ia@)}+&9?8Q~O zArewF&t&e+DJeBl2U`J8gp}mA(`D(AfRvS54 z4|@2OABACjgrO$ev`BOan0Lcc?c7r=1LiFOj~xCDR`JOaMCp75Aq6zTtf4~Ud zO(u3B=#c^U_yj%+5FIMR{(}hPRcAvm&#vQ1ILff)NF6E zkQ@t)Xr8PK6W|pJtT=e9UjQ|Zc#rG3mStM)%5-X41%wc#FOUIL-AK7*k$aB=*9Tx6*-<Gx;);%EBeyLXIY5l}|61#OTlYv}f|zVu7F^gfd;vZ>8Sq{E~E-55Ea!hE!IIn;VnkWt0dV7hGt zQtV?$HXvt&AJk6Iefw{}*CpKK;99kEP+W4fse*2m>|Qp~tOHZk^*swQgw@6vG`$v& z!%4u@GlKaHU}=)g+(1+b{-K&<3___h9jLzyKMV(XY*>OKNJxK;nRjGY)KqgMVlxX$zal9gBshg-Ee2>HFL~K1yGfTCkQj7iUMW4m z>_$zbxKGg>!Uv0-;SqSDJ@rikPK2#Oh@c)usw_U65Xx=1D?IfzRRWnM1(8Z+PGPwh zUAc2#EY5OUd?3lOLbalrLNL&a^<2EfcT@SMZf}q9U?Ale2nZkPdhDOP{@jENk+`K& z1j1wJl};4VR8Z#`9Tu;0AUWll4ahIAOh6b^DDh=;ltjPXtu}#)^7xn&NXpcbx^B5B z1A83<-C=#N?Ek*=Zp8wWi_eYCcnd>9+g*w_wjcNmxLjdvqtTpzDI^CnqNlMp1vH0e0qmpXzb+;pYQ8yf=BF&WXpc2hs($ zQaCSYM?#oFQ?KLkQ1y94fqTmDNFvEVp{+g(y1WJhK6+FqGE+%;$n*)Ucx!E7 zA8ARDtk#CuS_xL^s)l+c!I2D}vu#}QCYEEP9Zwm&RAS8EdZtoSv0xpz}w&E{o>fP#feZh-na4g@gap>H|?MinETli%5I{%jCZ$vR7e9 zS*t)N^1wFGTF8w`$a^ICtVt&_ho9npiaf3zQgTl1e-X^kbxIZL@0C;Wq^A)RvG3PD zLDP*6Pc2kc}Za>2@dQqk5LCqhz+5YM8zFiFv{EV!J?I%g6beW7e(Pwq&v~ zM~Wqvw}*?=$yGZBW-{99+_yIy9Pwk9{JuI$*e9=b zkRR?J3S8z$jS;IwkfkBg#ontTy@F|a82#drz3P|VoX6z+JW_3 zEyjbj3c$KhFM;HatR~rkjeZNnHgGBK2h|7AJV)OuOU#{qN3vGVK3&?d&b^+Xd_D(S zry{9AWHSI1=gY7`Zh;k(3%WGTh$Va(pHevOl=a8|)%Tkmub3T^Mz5>+z+cCql94+8 z7HOYAL=$|dqtWT<;fTms506}zs>aIQ?g}s?`s%*}!(o%nLRC=8qFyC4D6xU`A@7ZR z*Iu!8nu#hDv5fHZuB}XpeEl{MH>1zHw$dnK%x&~Jp#b-Iz@sDrFY0U1+{^71E)C^+ z&UbP3l!+t#je1e@Wn$LI&(yM8=2y`(aA?*!GTBx$lr&oF+mNWXgI_5jmKYmMoas)F zkoC+rsz8FH1Ip~w-IEr_b}4fun&?Dd$$1mMmr zyP;(`RQ}zM;eUTHP=lfh_)!6e^Jlf;x6Sfm*6x|P5O(MtGe$Q+;?6ssNUW!)H_;4FL0NFs-6f{Twhy zfn^ljhP-OT^!aenJtfy&dHT{;@#V!`HP!>uWUl<@c$#X9w3}q-!IA}sSw>V00)IN! zuz+j=!Pg{uTqu_**+$RMIk*SsYun+`N>kedQY$JRxCxQ9jE=3G`YGZmZ~p_ggj6jC z$|!|2n{h*iOApj1#4>4WliBXwVibn~)M|dV(RC6dTws={^=OUaOXkRpMk5FFUmE#8a4wz+VDlG!W;j*bjyXg2E6vGUI}jxH(64bJY= z#CV{71^Ig`jIw-uFLHCRVFm{H%t{U1!|ed!k??Xk=b_M#6YRE^7^Yo9$xGG~b(XDT zFz`f50Xap{+GAd*XFSQ@CK)z;`+vXZV?er;?cME#nFnxjwa^dEa5O&0I=%7UFl1fz zP!C6TpdJ=<(}yxVcrZkz!3j7-A6Jq+fm%LUSm)Q%wE{$rfYD>D^*HvbyyGX*jJS|E zu@{x<;(&e4FI_F#41+9CDZK4K;mB7Cg}ij#Kz~`u%`D)xENkRl1p40FqSQ_CPt8on zg*quzAEOHsDFWFIQ#go!^&EW@b%s}kJcxkD1uj!8L(8_Px#QB)4M0DKM<@p~OH0hL zV~)}li$8iW)M9+on=GZ8cPU(AuDlxIl|d0uWTfy*p=wk4>bZ;3H2s)DY22m-^*_>H zVs3#d4I~e?vo7}_SN zWLJM&qjDsKDn&qQbRIp7hGXD892()GRyrHpdRiEf8ta!@O(JjOsM7uX)ekys6v7=s zj*eP-6LM7X8sEKgJW`Xzvp*8CD)9sG-A<}^$UiYt#^72NlM-FQ*tBi!%dkZ3jZ>fUP?YgwSy5TUrZ}*n@ z{S!X3Dcyp-2!TA9Bc;{Vp(g9A*H3Cva#g?C#}#SLApexpzOz?ub#_KxGsk&=r^exj z6Q^Do~Ix@YTWBG(4ddo zSjFF^EA{i>j%S5SrZIr#(DOt~HLT|fvjq7P4~^^9wPHra$6`1e>7TCFQv0x0w>Vl< zPZv4qi8O#xyO&A_P;4ReLx>$$L#-IM>d^dHmL8j~PWCFBzK>GF{i~=AnLqucu8>;o zz8QcW&HKy`T}Cc^Kj%wm5#6>vzf-azV$f5o<9}|Tm2w)RPy^n9^hY2HVJeq)>m)j< z@GTjMgRZ<&?eMD_#wibx&izG_a*C}jhiz`$OcB+}IMvQh+(0s=0o*pi5F_zanh@6o z{MM<7G$ea%!M%I?aov*}8h)q?1396=)NCF*1Mt7uN3C7qeh)sUQju$r4<>I!w}g+- zBGs?bti*Y!8~FC2(7gu+ev6laNyr}4=!nofhQ z0h$P(yvzY10`Fuvol@LrdIQP>7%__aJGN5De{{UOkJXczfP^S`sf2Mousa6t5>p*> zIvMUiDD|7)?4XFLipoiGiHkxdC(mZd(1&iLLr<=_(Poo#}?e**R7ZV z`#QYXe{GUI-(*R98lXdo%Jr)w3-R^1_lL0Yd7nvTSL4j;Sg~_!=>J@Gba73{usV-2IBsZm~t<3 z0V@fKQ`P=5p2vXK@_#+e)owOx{k>pX#n6%EU7aM`>m*sbgCQY3ZnF!hXM zRUP2oM?JV0w1AOu5f_)`T+xg1qwyK5eI4~=okcY2lEvnQV>nak4W+<(+Y5jD?~xN^ zEf#HdnDP}6;T3_p9-(~8dTZ9LmBa?np7+WmYb;COR(+%9|G6gBegj@Cgrx9cJtxd4 z6jpZ1Mra{Hb6<6Lpw8Y!Ztj5oA_0^s%9x@3rQ_Y(WV#@xv0Y1rgwQIUptw7{rUjT= z>v*ZIpDyxcGLWgbFpzjP0faUj;3b<-c6+Ah<(O2B9C5?IQt1b2aX(Ifb97X0qrpx;SUrE6)p`;hJq_ zoJHr^xl;6|?ws2@jE>Hahrc#r((p5Hbj&e_vVMr`;FcMq877>=QTv&Ks<6FTEyXZe z0m^nXh}6HgWBjKQ(hg_s)&oaX5~R*QD~HtIk7>@A<3yJC`4PJzNj_(3$u;gHc|vM4A#e>a$q zDXLx{5VjI}k@jZZa$Pk}FDGyoJ&fT0AvK^=QQ26zM(V7yJMnY=M48!d{S4~Xc?y~< z!YfHLKQ^N`BRE#h%xSa)`TFp@Ez>NY+yJtm|Fchcgh!PT9*ItB3;X6VH}rxVns0XW zMufHuV3lGuQ?3f5y#XS(z+almnN?iC$W01&Q>2+pr9oiZgzC$Iw_!Tl zo!uq@sbASCB|!-d$hj5OF(4|`bC^YgN)X$mrP(&#<7q|NSe7?b~d3W?S}gn|Qa;eb#EaQU8bPpuAa4^6V}mV1lPM437!0 z^l7p4=m=T*$f5k>cctSVU7Vge%r4ylK92N3$nUj$f=DQMdU_v1!KUDFJFrKW3^pNp zB;8BY(}Ofx2{52vd4cOJIwA>Wmudz*4|5_tjk75Npw(~T&c;J_i3a=8srZ@%&5(?= zThw*RSjsT5kDO$7!$S!4hG2mMAM-YjDgs?MB+~r>f1BK}I|T{U7HAhs_18SZDd;Qn zh5A{~cF3Q{=*ku<@NzfBoL#}M%PU9kQ{JV+sv3yA(7{nv@5BIJbpp{}_2wTh)vbEe zEAUllI+=m8V@tPx1tYt-_b0V6sZE}x1XraCqe()p!WtlxHpZYcpRL=vTK>BU)Ih7> zrP6ki8_E~$Gj^R#|z2k=;4_U=c4APe-sK+6PR6!k-SZLWR8*ZwBQlf@Hg zv%_efBSEsSm?=~Rn0Xcpjd#Z+UB-cGD~A?|v`vK(|Nbn>g4+%lcE z6Gp?SYs;H_97tPPQ>SJwGq(*56UVBijsxjhXcUggPlLM0{F5it<70u8sxFASa-!4i zqG!vBMnj8`YU~qX5qIkGoH`s6KiVnRF}-cEcU(baie#F^lIPI_(fZ*`S@K(-y=0oy zz@9{ldAaStUgK0G2bifGO;J;)Tp=Aw3my9GAq-a2Pc_v?Z<1{ht8o_V1U=>mVpclH z=hZp4j7(NPzmu^|5w1>FRijJF z4UO*h-+X_Mn$-|xb8VSwx9ZeNgYTdWH9(Qwyfe!YwIvC=SD)^?A?tD+|92gVL2LW$ zzV`;gF4a;_jS;MDigg-Cb$c&wwzvP*JA~NOCxdoHW(q?pI-jjs@Kv&o)Z0dgI$bSY zF4Ii|APek9QBnz4!?J{wcD&ifpb=nYowCl*we2D;W)0m!N^4^vEqHZ>wsWrzi6XCa zkD5{bK3xJXt8<44;<|fxw|S#1uqOVsGE0?0NklDzHYNq&ppH??#okkcqD{3oRGRil zff`6X16usttL8%CDmX+L%#P)QqW);8Pc-ndLwCeADVr2L?ILh^1z3QC zhv^O&bD-PPL2s{UQxJ;SR0;F@hJq`P`K~*zwfr? zsk>bRVOyKxj}#$3^28=u6pyLwDO{e)0bcboXEF2sb7asH7bcWJ#Um0zWW`k7{4!Dd zp|S^)EL$5!V53D5tR}*}gzHK8q$^sPPSv!et2DC(PFnPbr=-UjZj1jeVt}e|(rMqT|`S5P?vb|?a?Zo@=LMg!?^d=MQSo*qP_ zqr=gtSEY*$Couv`$;$i0n+x~6w}0Q+N1ufD(0Yks)T%oQ#MobkHcNo;7=)Nyyb=Uz&+aWL)*#CHjD3;l z0JeF^7<}jFtHsB^R_N}xX7~Md0W`?UvIXtlam^097u>sEOsJU!zIiu&L%Zqo;BKnd|0Ms; zeULhf0zT2lQEg?kJAJX`{q{ao48rf+XXjh1 z_kt6RRdw~3^~&lN{^~A$I$&Iml`eHGun*`BSQo6k49lb2u4P@y%c`LcF%9#01Dfa5 zwWz$D*yg`b>*l_9}=5pVv8;x+^K8%PUP*oW-YCYfBi0AVH6bTs{YXwpXJ3&nl-}=RHNV0H-%Z$z?{S!1b z;VQoTsMF;~`tp-bm!AwZUv!7d;VOOkDe!&5Pd+Wx%;Pb-Y5Vc1dIbNEyGgfX^XO%+ zGCOol%9K(<_7Lj}zKjlWh$;39ehfqF3I5bhD^ ze8+iR|)c?9^=lY1tP1Eqw0`8RKvp$-^meV zp6BhKsUT^roe>a43TIn7pk#awuXa_=GnAn|x{qvqN8n8V&BNzae9V{WHeNT9+#IyC z+?>M^Y4m2VkR1t;zeOI;rsyLlTS(;k{OWcrIHP!yKymi?Z~^KJTJIjV{YNhzzItI1 z){`tvCi&;#4@cuQLc!(pU3(2B)_q;X?u_?k+xeCC`(4{JOcwi1ls}sG455!l#X3g zmeAZX5x}G4!}0O`BV$cKtpAlP+Z0~A>6XY-*K^otscuJqq!8sAAlR z+whz&wcn@)jC!itN8$TwR6v&wOB%W>uvart*C5tY9!=Ggfk=`-;NFmN;+h450o=l= zc@$!c(+C-Ej>2ZF3joc+s`h>iDJ$nX!?UmB*nJ0&?=R0!jpP9@Q6tW*J|jLK+P-i* z1GVNd%F<;L^@`+BA6Px9Mga3?zKH}j2#UEdv~AMGyfJFEY|BMU(GviBm&|U#I1fDC zo^zpr{gi`={#;wXw?7;7Se`pM52_OIB0lQ#NN9m{ znhlR5rsO%HDoDPGa~fL@MIhxHV9sLumOC2q7j%=T9)Gc2bfV6>1tiXS?+rj7!y$ zQ1Mbb6F8*GLCVVgc>wiOx)@up5EJ!PcBOA0N< z(k*GOV+X3MW<~ zg8nmz6~b%kG3zE_$xsUMh0|P6`Y_ z{Js4TZ13%57NgLqy=4Kl&}p47(j2hlfy4T#ze^ddF+>Q$LEV8T=T4_|y9i0}u=bnj zIj1#r#BZm@IC@d1F2}Tdvs|>cIir(Vj}8yIQ7o%|$T6v^`C(6LOYT@w)m6GCYDbhK zL1V!03e17Q9)~ui8u$T-S6HJ^*9FMvUR zb+A}z`3DqoYe0zh&G=Hr_KoWvSpOZQ@8o)Yl5AsO_F*-0`=xx{Fq3@{G(0^P8D)UN zey=P}W)rF|SQ_)$_`&%P@Y>#Pjozmkd?)+!;_k#Ug7?yfdvmgK1(cYkI}y{j zOXqfEr(wogR-TuPwR(uRpZ%6E18U9PVmAl;M6L8Eh`y9vV*Eb6OqbfRy3%R-0hyoq zx>EsJho%}>Yw)W*o9j+v)1fgPH<#QtK{ebkKTj965kj>36gd2OkOSuq-E0vZ%eP@? zW^38yx-0;^T(l=f?Y9{kc!ySRqDj7{YWPp!A0AouC8vRj@_APnoi^&!QgyY@2qXPk zyW{J)UF4Gh7_PojU2zGJ#ja1f5z8DX-_-AU8^aIdmk?84n>p-WEfn(FaEOGXGvLuA z1~rR~GF%IYNo3nRHSD8Mq_!<~(;Ci8kEdR;z7t#3WS3@J=F+(1Xi4VL8S-kH!I`B- zt)8w{^wg?H?n%*A`3UgyHO~i{;8Oh+u%s3VB)TnH6FwDD9h09!NWKNTFq0(Y&I|Ur zpdAV#J;h_?W6s$Lo#CHD_sTWE`=C>ujJy{wK7RfB!D_WqU#`;iPFa{A6I!u+uu8Km z zB0fmhmgu~~>(|zUe*GHiX0IT_R-|zUAMP@X=YFtxw`RuBGO^J~xR6e5AX+B6mAP`F z6C|Oik3yTFL3lxZ4^@4$d}Tr&#XL6?4qP?3)N*CPgQNs9hzY6%oDPcQOq%-IsP`Tw zQ-?z@g|X|g$3dIDQhAp*F)%k1Xn3uUWCH*y#Aa*psc*M}tX7)l^o^;rP|rEP@hfOVqSJ^> z^`xRiPBJ+?$;&DDp;a5O2NzR>NZkJJZ^Ig$i!~|;Lfq6f(S=l{f9@*$6QZ!LW3T3$ zvMI|tkJZgilQVNr74!6|_`+o&a{*lTuwo{z0@-88Tyv%x($<56rgSw1P$oG%8I%JE zLL&}5`CbE(Q%lU8Bq8YWbu=1Xz~UU8M*VTV)$q_oI$uPt-U~&|QJ7e-6SxYXKduu| z&$dFLN==&M-!!*E+icBvAr4qZ%PdLX#%jO_(QY+X@n(u-f|)D#cI2AJ#4BCY=^iRK zz`r(_^WYt*U2>j64P6XDuF+}z9q7T>dq4@IZSyVgHFvuM`f>9Oe4Ce)V}eQ^}fYJ@gU)W8$Az+vMMIusuIv{6J+}sUcIcpda1z=>fpDE<6~IIOx2sUSOQ7EJ{KC zB+(XN-<2zDYHI4YOMS|zU3``%^PDRqitZqu3POzYy=r58q-OIIb7DSoPh>O)9&TAe$#A0#J|iOx9^D^RMBk!M_*PT^7>FA>;zsLa9`tU`@2 zp61|y>{dM=2K_or9eeov@XH<^6MA_aZk6dVaQA&b^N5IXxY-~y?I#kP*vbc`mhb=m zo+C3-yMDDqKuCi`s@oc*#8Wp7UMnvW4*mrMMle-eK;?EwPNcweGZYZ@Tyc?hJJ?ej zd0dOTc<0(8&YK8IY^H!%`~Or3Sd|Q^r5s4EBPh62rY*>^rrB%?DAxXhn0s&k03WyW zZU^g0jqOkIT)2<5rT~a7xS2z+98YWKnHSMQPtht6n)G&{TD z;(Rn{V3l_{+da-+j_#Xhggb^YUDSa;%dgi!XdKUg32c(3I@L=tkpSw+t&ev%ol6An zP`(Tw972CxQ zNR%UZFW2o%D-gk(g(*#JCvN1AVM}Qtuh6&83yNk)1itvTse_LI5jf3z>K}e`e2vNR z2|r`FDjFY+&o!_c1CBn2h>2o~r7RzD&|ZQcbDl)mC?>&S+BI~P;wGrZfF1piK1tRPdpU@HpBPEvUUjQ7^2{DuLYZ&T3)f%2h(34S^$Np*E1p?FL1@{^ zny9%Xx9Gt90?`i^P7bNm>5BH2$8-CSKWGRlpg9&YE$$IXXf6ZP!okK+?i4(bwa;5k z?Bs0MFSLAhsH(jtc7XmzAA$rGSBR})J|%%zZC6Tbn7^&cC~! z3EIaRW?EMM9eMA1FclZP(_p^f)@z6J4qfqvVLYPiYe&(+i~fDcu#M1^(aceI1aiccmsDFmVDF)?E!%lN0m(D z&7d!T!1bhrErM3z3UrjzPMO^_vLRT(5PgNG$?>A1$5GYQfP398^T3-P(CzRfk{rS% zIWk{sgG}MOXl>9hyJ&4ZYdTk%JIZ|vNP7#Js5GH(hHDi9H(SWV&-fRU(&zaz>BbB6abfxU>Rgg#S(K#ih&`8iwJ+! zMYL6pQL`cj(1u>dMgB^A)qpH67p^z&?F;LC%dRGFEHA3ks3d_}zoZ2YykwMPTT)e> z@XLyPycJok#`44%TH9_eDB;moSw_MD{+d`of6f&dK$+A;?d||FEWaX{JE}Hsd(Ds;qd%$cwuCgU+<7faNpWqu#PLN zJcU}dMyf(j*US3gEKPb7w+;oFG{uhkpNC{_UO&v#Cc&k+SfH!ZNetbn*p%vst<4>o zijI&~g3DK3*_`z$w+Ti%fCTAiCX#z?UEyaSd|VT;DS~KOT>JErcDy+Iw^OydqMF zC9_1q@ps?zE1a7oBxKg3Q&`VWZPmX#Y7(}b{5XTc<%^U16)wwHt3Ag7uTzam1RmP> zR3NxTMIpAVQzU6&R?ldYb}EoZ$A@Rs*5I881v?e$zqgkfi07Q&UjXDF(t<0E#0F1H zVhf+`+4&!yJjioFXZ1!Gr`J7uFZ1(r^@P7R>8_uHP9R1_W7tP~24JaH$k+P2CTD*< zgpK*QH+V<-(M@2s|F8mFGAW)lPR~_3gSV1LXGBG(c}xs<%HW7$&8ds8^6ZM<AeYCvQCHTo%waV&(=Cuesl#cvg4U^LTBGO|tWop}YGX=dXf*fLHUaSl zm!TX$`xIamCjF4o4)J}b;`Yzpua4*U)j{+dl8J7pU2$-MU20b_pQ&~RENSOUdm^gA zY<572ZQ>XPZ;o#GT@|GFo1}MH;Iqdhk&lbptp$(is#@>C-BCq4S4+47btuz;gS#n9 z`&B$$vz+|i1+tvI(TVb%vKw_$9#cea;<7Hh^0>rZo>E+RTM1rth!T#W3>;|^;P5*J zAUm`>u<0!ca<3y|@Vw!dRaS)xOPJ&#&|Tpp=?AED2R^fc$nMMX(A;NNaNG8R_(WI0 z+yk-@0(l5TN|zWEs+I=Sg!uQh7WIl_FMaV)BBr} zp-fMZL>|5A@x^`#9`}t8k!ncyn!6Oq9I)H_*8_w7?4w`60WT3TIH=3@)Kg})FlH%7 z9b{B*`45EM(1)c!Msio z^s2KvdyNKK>c=|I!yBrRiKGh&=g>qw4YI9j+g-%hOJK)5h}05WMpx>^h>LO-tCsp_ zEwO}da7z(d!0oa-%b0l9wegvrGMUl& zgEWadc!jBS!rOTbA%l7sMZJ|*LlBo(9=1{rna<*?=M+avWkmdX7hB5)K~VUWp^L>~ z)-fa2(bHg~sGh9ZQkE+K+fK%s)5UOb_JOVwqBxKP9=JYUg{spXRTK-VAM5uFqpu#k zeh@vTCVf_od7Z2}eWf>Xm~&x4=^oRP?5jkI3hzjc2_jL-_%pOM8!$D>RP&9PTj5Uu zgFNL&UD2|pWl03^-efi|2Ljg45{|%Bb2teiT(Y#y=$%KK&tOg(2Tqd2k0Xqw9U1#WPf8tVjz;Oe z>5nn>hr}QU5!+!rQr`5$aFDzo-`2I{eJiJG2El}$-KZe}+VKXMAHfIEZ>oC4my%YD zD~q&e0~U~aP;^nJ>ZNIBl49T;ufxEwS-zWOEH+0_7-co1&6C|ooOLYs9kN)lnQHXb z9ss%oQxY7*6%Z%RiV3ta`YB9nWm9Mr-*UGf%PttsuYa>&w z-Yd35R%m{FMoe!yi3@{@C;1inbdkC^sk3@KVmLL=YQbPRIk)^}zR~tZB)*kB^)X#J zWlpNtsYS;N7~HHa`7)l(GAy8kQv{<5TZ%;D6$Soi&~3m|wSIY|pPETAKnL|5cZUAa zK=$d6ZVf9%44^~*xBrwDs`vU9zILVz?(rtW>2gzD?wNdb@1l6KAy60!qEpNJP`d=u z6Zez`Z)&nxBpi`oZB0~|U22uan_6kn949}st`Q7|b|*if*eMfRAh$_#!+S8G*rwh1 z!gdd$5Pvnc5r#bbAjD6HXKG$ZZaO|zV}fb>Zl@qy^wIX{pa6FVQPG`+*cF4Yoe;yK zTCB;Em@f`H>l<_>o|B<(91UHu*5%mM=#U^TJdCUwdL4;!75Kjgn{sQ7K?^aRE%v9o z+$@S1PO5S@UEniBRTa%y2f-grU`K2r%&)AkA>5@y(mNGaaR?u za2FZ{rX)6L&}%gIw~Ks*Rqt5gI4cC6)#ZFt8vvwxK=+a2zWnF~O=SV$SxX6dD3~CP za6w4zyHIzd=DHbok5Xqraoub}#Ahq@;3!nU&FL(Ez#yc5qU*o7p`Wo=psNu~Bb1sL zjkAr+PK?HfDafd0`FalGbvMyfy1vOc;=yz|lOzjPI#ARKzmI5AiIYdiY`Jq@7ixFQ z=Trvu6@hf)Y_o{D?kQMgrJ-ur1HUNTsNHy=M1M5AFt8lp`^B|4o26_88!po;toTo4 zEdrGMs5OdoxtF#M%V^dJik%&V+C0640^e740lMg5h2BP02Ps(GWu^%ta12DYUd>c! zc83LTE5Qyz?aDf!AetDNdf)|L&nkQu7(qOa3?NA3ecgH^Bit7#e4#*TP_diSg3WrW zAq1_d8+xb>a;HmO?PO*2vIzuR66LpEnYyCZuHD+7+5<~VIWKaffviF64!u#M$3%p& z($%#~#8)dO{}uv}MSyyv;u&kt`?Kd!3}QsPf?M!($(qr$+9R$lK@RLjwQljINLN7M z?YqUu$U4p7eYeph>wJMT&Ce8pAOOEOAQ0{}*&l)HJNYe4@asiZ>te&?+QQz_oaNT3 zmd~yUG_^0@w+-go!r!f)1nfGw9NayS!LQY8J}L5inM9A{5;OGuKmX#VpFJmt@IP}P z!Y}JKLGjFeQXGvidilvCSuwA-zGo5|*Q9%_ju}{hql?b?;94ddSHkD|$0*g9{kW>D zQmN0z@T>#b&mwhlAwu|s5yIxA&bN}$T_cS5uT0A~Gy+W0Nt9+V2WRqk2El)K8waKV9XN7$MCt{|)$TMe;swm=`CZ9k)cEMnuG1u;%VKD;T7dcb z2Huq=Ty}9U%9nOLGbOA{?`Z)xb`0zqkS0phdOsfy>xW?K+&Tf8JEb5IiA&`Aw}0V- zJF=p?HdzDBe{6p*bwMq79DWspv6BJu3T2GwQ=e2_^LrWeMkNIWTa0LnKv6M5TRY$h z@ybNYbjT?H$)AHD@Za-cyOe6oii!@6>%icX#!wJkMUrwR5N5x?e54xkdU_+MnaD2h z4X~_RmNEyEZJc47L5A%{=w)%nX$rZ3PIHIXCPHc?Jb`+7(o*75WBNglA5>32WWzzx zI=2?WX@-nFT4x`>G|s-giVCMF%l2luH?U}EL_K0Onqc}H%GB^I{&#ReO0S}lqGMODK2re#ywT%FpFIx% z{sZpd9K&kOc?)?>Gwt~vnG0&v&s(&$*qnr*HY+KJwnn#UTa);r;3KEq8Suhwty0e6 z(w?1NvmG5<_9&;ir#zb5zx^|45Uz8$Qy&Otz^=(AE%R9j@5;i_!C;tfRPNcWjq(tW zDi2M>XicmOKQ%TEwO6NuCAf!o>*;pK);%~g@g`NXnZCu3$hJ^7HKnk&w1q@%J6(~Z zZxRZ$Hjjqh7Y-uV_5l|#k`t<5cFK{_$9jk6Dbk{534D-BU{W-~*$*@y4?>i+RrR9~ zzAD}nX%>w~RMgTl$?zF-H%(Pn`$U@AOw@zqWo#S7_IG7;l>+}iq?3U;T|I|@-1S$l z&1K#Ls!LIGTj~w@PjQ=em$4Wx?$aixtao7>%&w>#9kaBNoIFq;9}v&ODSr*qCB8lz zo)3J6UVc}YU7~x^`>qO();c4bvBV>}LjW1Ak;Y+hfC~!xS#ZJjLzNShp)%~)>OsNm z)9-p%FbgdB=I0tp47d$@AI#bS6$YuLeb(vzdbMK8JUE)gRKl?_9WuOjv#C8?WcNCO z-d8_Rj}IaT>NR%{UA7SeY9l|9!%|E1FYRAFM*b}RB+N+GUNg3>S7R~1@F_+*3LG(> zkfZ1PyQqI^^+BeKfvM);N1tku1whDijXqxZn~{jxX9jBu${J?S{Nj(u489}%sK&Vb zUG${xsUqdgzE`KFccU|PIL~)#zDF0wh%LT-OL8!6jBfSeaYQTcQx-mvzFrlyO7!eR zC`>FF4lL8Y;uxoJ0(xfcQV1hdweui)B_dxsMy|Tp7I8#5JQu%uq88ZD)_at;dL@O8 zk-`|TEQp?2gte$ty&9Sea6N>ganmf`shd_O2~-!I40?M>pjWAfYoxY=6l6xZ*c+?2 z=rN2dZ;&~=o9m^sfPvJH=5;v{z5$XcTj!po*uP(>mo0=&P&^BQ3UYVT-D&L>K^t@Ti+oqWUfFq zx1>HF_Ud;|p{ZwI5%$R3y;EFi-xv!lYd>MYjM#G;s;f4zfi+TD)(UQL^i!yATqcu( zGj>Eqa{Jfbuk#)29mZ}2lJ{`;{5h&|%2CsfCTVM z2S3fdTO%br0Yc_!TyBF@1JRQw2hrE+|Lg;NL09Lj1x(c?97PcCYzf0N;R`K8}t?AEFtkZn|PwJ7<)zvhmHj zzh(UmmO`nQe+j`B#xRvlqNaF;ottF_ej?>zBV38QeYcc z!Xq+<&cXOR-d?4#?)%dnB#v-0e;^08z`f zh&*FMI+;54oY+cjP&{3v$rath-6sC_m+$*h&=o*!?9p#k2wi^0Y1ft<+#-o*#3NRl z(zlm5K>vUMta|05<#ntEaj51c={YgtlB$~{(ofL-*i-;B9UOs2j0^V|3h{=DASuSv zh(*?MAgP~$eW=$k)$Y}tOGX=e1N+rWD?vkO8?OUkUA$gD9J3GjRjD}$yYlL?;sslz zC*mmcz>};qT0*$Ji^_))y+Qmv`btkQM5`8RHUsrrH7Uw0*y0lSlnrQlJB6>*dn_*h z6fW;YC8C<+V%k`y8Sv_UL9gjAg}fFVEsMgC`xm=)r0u*__(z!9mcM zki`*xR1159FH7TFSq>$U46`1PNsBd}#L){)Q9{=TC`x+D;Oq$}F|Tkp>Cg8{@%i?E zbnvt}^SS=aIC3F(&v)+Xyz_J7$5IPjgK3S=WnGBH3{jNYL9zr;d@U3;h|52FV#lVQ zLZegG;)~hH--DC$QPe+uaCS5{R5ECfFdChVL=j5a$`QhQ^cO#1r%qH{tt2OZ%X?wz zTows(2Kwl1BLPCR7KghHLb-`xkox89HhIg9btHmygX=!J6GPEmRYg{6V$kCgt&0ll z;Mj=Ms>XAh$`b?9Ab+hIXUfsWCquUN37n}cbNzP>YewY&6Wxdfm}_`$ar4mR0?cl- zo5ZPlSjvwmok|-Z3u572_3BQdWR=1jT!v{fbe@JkCfW>l+g6Jphw^btg33c!0LrMJ z4s10Re!|xy;l`jAOUKk!HN48&t;MWvO=x*O_NCh#oElyRx=8S&Ywkn2#lT$m}O$Ow9q$j0D~7hVn@UD&wz}V|0keTvTRx zzG=s}0`-sG*1JZ)v3EG~*YQYQ$0jfNzeEtVy)ifp%@J_bwu)XDb=gBW_n zD|Fd6DDbI4+^91vl+TbtdIz}i(6aUA;k-ojmy5hu-%N`ffXQ$2JX0QsLD$6TECPYZ z8rVJQ(mM)%&>PeWI=nzq9Of{@06RX9p4#-&@zC^-@4>9Td$j5FWngO26T4Oy7S-Io z9D(V26ur!^n6CZecx>f%IO5*eJ+k&d`}!C{K|#;KZM}C6Wiqzl?^3KHU(cMjOZ!i>U8v{6s2Ik*O8`Ds0@@(5G3x zr4wA}a}cW`S*tjB;4g^!z1=##ykuqs*!)%VP#B-g1d|ya)7WRe0mj_s@zwv}H#}7J zB67t@?ckhCe$z7tR3>T%qRm!lMnR)QG$+1?Zt@ANUwha&KKH3mH=JG^B~iHY~n0@S9nxUWg)bXuh%}hGaq?eBF<66o&ivqi6&l zSon>o3Z%|g4!NW<4=Rz$__n!eLw4mAOvIc8BWk*Vnf@Jbf0*)C3*rAFAUCN?^fBU+h-O zh)u{jvxLh8DB)an09`TQy8bHiT?GHCai|t%U;d$PYhO1s1#{T?L{w*0EX3x+#jy>-fikCitzy>wnnW_ieoY7-jaL^9c9E zbXB7?HL$L#loVCnAgXIL>J9e7Tmf5l3+k#JW%Xy@?_kY&zjZAq!ih43{!UYrfPWv3_-yQ?JHUf3PR;}%l zYCucaN#$>HG9r1-3P*9L+2Danx9I6lo<54+psX-R690M^XC@Ja2k+mk^0kR`7j4x# zXtB3&J({!tJDR2{lTo;ITbeaeL0l2#Jfa#MamtB$sb`Qgf)#NPE#W0?=D;sl=pl%} z?#a|1Zu0@h#!}-~>-95BVcCT_&7f$A`%?VcrNwikBrnxj1%MjmopfVoBUqRCnXGTC zw!c3C+_iLQf^F3SJb67x60uq?Inna%|MyF>UC(?`QQa9!E_qnoO zRR;Y|(vegh)m%*BElsZuP?uELPwegyjExAfZ42;1AQ)eqtg z=K9qs6~p|$e)fbze&)M*A>h6=fFhyIW1g%NPVeY=6ZfrGt6Br5mwiWZ``1t^4Ud`E zi?rB=AhGp|>z*Wpqf_n2sgN_~!1B#BC^tY@z`n7U*Az%m|9>4r&0TMHDJ0~P$+I_K zTBZ4Al59dAhoI0jY%Q$;$7Dw+1`Rm@K;I62uWnw=HLTK1`GAu&V+)ME1yo$k)-8&= zyVJof1a}GU?ye0q?(XgoG`NM}?(Xhx!5xA-1oHYj|2hAa_wE~aFh;X`ch#D;=9*Qo zd#}BUvvgYQHn7Wl#bzFw%AwvVo{B^Q!AHrZ{e5M@7kM2CP*j_{U|9=4D+T&CCnXHo z)%_3~G%=|2XmxpW+1oE#Qbz6U)KEZZk&#u!_EUCNVK87YyQ#4a&Rz9$RIR1u*|yr{ zzN(k$Pnq0K4gatqo-@B|wc|*+A^f3SF<%p6hf{Z6>=7{P-^$)w{oZFYV7);TE0 z{wJrI(YZ^q2_HoJntUrWF!4tGu16LsP^QH0rmNnI7VBK+-qPua)7`gKNma0Wpq7xD zBoV0n1IzGOdl=f;L@OrQ%sWH7U7qs2hdjSq*`h@cSkj}K8>7d{e0F*_8BV$p!jKAR zLI&T0=M+l$8}BM_fQdvl*pfw(%;+=t|waM_tPwP zilnHe2e_JDQ7@GZ)H+|L8hnExu@)y>-bp%ec^Gxzl?Pvhz>h{);Y?X(mG-RJ!p(`B zaW0{IP@^5JC2OhtP4y;B(9 zlLzhQR$+@5z`U5=00kq?O>EVqY7SCLEL1M%g7Ij}+q1Ev)yU@19jHny@)XZ-nUF&I zS4Qc2n=D7{J?6&`Df3jW_$GwgxtHBJ!I)#>#sd4l4@d@iYPM#+q1uHWsCl`yb-}(f z3JmJ$c9njUx}<0YW?g|d<6$LQ$L`InkFcec=#NFOc)V_YjPTtOJF;xwhiX>?Z=sa^ z$eB$mkq_rtAAtUd+d5=DK^TMUQZRCN=U!2E?&~Z@45$74VJ-ny_>Gygo&v)9kkJI5 zj7yJUxf|fR9xbDsEXm{ESf?Y)QRr3s?K>HIBGz2b!Tg|2lp`-Lm&gn{sH~|S=}?|Z zI<%!<9n9i@DRH_X4iRz>J9E{8^A?$6%-2>M%9FxH*wkI>9rssHAM(>r{)3w+nf$Hq zZ&!7)o)8t7+*ZwUG)vSFbc@NYznovY)g_nsjMKQg_l`7d3wPP7T!nZ9mX{rERPkVc z!+CBBekKvV-=tc_2c%+tx*iw#MNJkDpIETt3FG{`+x?!lcFyy4?hNtoO57SuH8sLi zd_*hz0UM4xrU~YkZiZ1!6w>ffPIX2~l#)91@WZ~b-Zol)mIt{#g>eUNgTh-<#E5PM z)8`5uPW2TH={e=`m5!j5)Aca-6>aWNK&Zu3 z>kFMt#V7Bop&#(bKh8_^xgqNtEWdJx9#0#6KtIST#MY{)AsS^bLhX)A}$ z$OS3Cq?I_Xuzo{Q;p@_VAGP;1I14=&GYZL=#hp%KCKW|6?8J$R*cIa0h|I#tWjt0PtKzl|Gxhf{DE z%#Nsi?=ouuF6Jykq;CMrSSzk3&Xo*NueMmMN3H2<6cR0?tQ^lF&vN-YcwTtl&>yzz zUZ4zCijYy8=Ycn!^Gz8g&LF8Sp3A6RHgK%nYcXvap?dx|jW@xruqOpjI`~VVGLsRe z2tA6$I)`mzSH0%wWYFcw1Kxbfs`Jce*{Ii0KSZ3L5MSw-Cwv(eJcfz?r*WZw%D3LpQu$YQB{c=p?M0NSA&iE1}Wa3K$j$LI$lYttK;Uk_6Ga)EnK9#cQ2MW?|sjmNUAAu%NHr3 zxn!gJL$uY(P}5-Zb~BjVYY)aWi;ST|(fo78_{I3DkD{(N-0ycBmLl3iNQKvbx(Ks9 zzUozCtOS|4_cLrG?M5D`Uc^nbj>@izpcjs@MSDn8VxD+yI5H=D@a5xP#|1)3G^--R z3AQX~0JV8a!FPx~LntN`1kp&ayA;mGDC_%|iO??jT4m~UE8?`#8N;iHmn_mxDO|#{ z44I3VU^h~PTuK^12LgFlzQ3*MFoqRRc`FtmZz*33YD`f%42ri!NIEP6$1zLFhSbb+ zT8sQVLJX=s@~x7pj=qW|n;*ty?lFZR!LqMz&|XD|5BbLbsU7`Z@m6kUqh!P+Y3dowK@V8|j>f-?5gUmw5G2 zfAgT7wzj2BlmKg=5`AYE-Z z$nI7EDhZy|)qiO$kWIRv`eO6yn?Fi^%;|8O8`fN*fO*mRPkK`4pRO!L18&z(3{iyJ zKA&sU0;OQs*rw*rnGCZ|IaaBjXO$Sm-qdN*EvFQ?@F-85!jUOA4xE9=!P&uC&jKAP z@PE{|I>nZvnNxpW6(X(J*&`8$G1RL?%>1Y#XE!;AuDqZ9T}4E`ntF)~@%K$mjp-JR zwV6l(DLKbpwcvy^ijE)?!{UYc+CVLe++%7&8 z5|tSaN*34HF{VAzitl@}^J5}#o&+8e+D z%LHLWB2>{z;LJ1sMq5kBYqwK@eu{k%lt^r%tjQMiMromk=B70@tekSp02E4oXJDxW z9HucK7I5h_Vd6{t;aWoBlfLd9gk&+Da@$F|%UI6q@#H+43-}VA25U)479(Y(TvqKA z#pJxVV~VQQDe55lTkk%%(|l-}_LRvx!y$-?G#V1Zb!-e)xPgu9)T%SV$cei~Af8Jn z6n14Px!zldyiw_QWvkam+!HYWH6v1q&^mdXXqZBYqSo@&&W!pBhK7q&;hBsT7fBOA}Aa9~rl+stW_HEyXE z@lzO~k@(Y8Ez$j>p!hAidF3WHVj+3UxlF|92WYmQiU4q1wuDuz}DV}C>~WE-B*X0SA?^`{lV@VnkG zj3?fLZm-y%a`tslcZou@8HwISY)BeCTSMxkFcXtQU$OqAc8HV2RsG7DZal!mq9Ygb zhdRL!Ya_C3+ts(^OqI;kRtXXNMrr$r!C~C4-WqD`qqN|;`y0*X2)OQvB6BOnQ{0(N zR^JzLex}MRgdHn;Rjx|_u@RD3G2$|TRVm(?)rRc=Z*z-vT|)B`*N&M_1s=+&-V#bM zQvpHB(Lvx+Z(4&FcFSkDox4mE$MAk(^oJv6fY_>2GSzn|BmPBZnzG2p~62oZBe}R+9!_Ia*Pv`lnWoq$X6dI*zt-;mh6Q+qEk*c7-v4pWu zeBwycO$n0H!+{_*u7Pt>hGs!{1U;a;!m&d*Y(iV@Jbg}lRqy#^W0$ORo1=?!HpnMT zn!^o^M2EXlx^6~9hGiM;t@MVgyCZx3E)(m|00DK|FT=stZVl?gZTK$QM-n5w1Vu^q zTlH)j`=U`vRr50Oip$?>;<9yydGcL~a^RORpYYsujD|iAJ^s?T|NSu^=BP*6I;?k~ zyBm&m~L2=K#bC`xe>QymZU23_gf~UO-M}ySgV+Ek%g$@vIcG zf6i(GeckMiyH4O}QBFHY zBA?GSD%v2Z#0H;gia%rhN8Y5ipr7Gg(MpLvGFuI7+Dhbm+NjNVMk9^-CDPzIADW-v zl=S3^2mHDlDWZ`fJI1@+6ZFh_`@Jg5=Cnw9GPv+?CpLtCOOOH*UTy^pQKe|DaClb3 z#_B9weq=?s5j5LyoFZ}$Z#M&q5N>FCy5^^FDrY)3B{tsjgiXn{CDBrpvAmmO5{igd z{ZRRz09stJ&~}o>#Zrw2^HzB~K_Dml?uO?3O7!37= zcU<2^We~y9u+Jyt+MT+A=SpvSjFOZncfw4Y+R-M3~!m=)p~Y z>%ch$SGzK~kWP5usjFC&u9UYO&tK$i3B&4S@Dn>zE24aXL;R78`)YU3 zXbVoNl`-Yx52un(;$>fvS^wICpRdf(OEY>j@*Plhsv>AXJofKw#R zFXdP*Yr?|hMOK%J*T7IHf@g;CiTVgj!tAVupVQS+@+lnV^x|(|MbXdlmhQwAvgPKp zmYqLMYK&>chcNL;7uI|ysKMizyUts$e1=Y{L;(=fgucQz2PP1WtADc#PXWm#$qeNR zSfr>`!4G`;&vfBZ_!=HaK6nJxe0o6p@@n@pjrQ@PLq)>P@m+pF0U?&Z3+y(G)7FEo z4<5s0(#Q>wHi~$X-)YZ{jQY^uDAj(e(p0E(YbP-Pn&Xzh`;Cz8w?IEb3L#`5Y8=hK z^^he7m~<0!EGPXqtEixgS-k4C%cjvG`$T4_^VtgcE1tpeLW!N~9J|&wqqw{t$438A zN{B)4TGjG~%5ca6-{X4q%Tu3eNKllxfi$mw>9w6ynPtzap;C z7ZQ$!SYI>0-th7wS0Dd8p}saQ1Xs8FQHzZNr1+|9PNwSQNies z=p5>3FWnJ(hjAN*1PuyqBO68PYuw5>+FsblgULkE(_1#3bmfL`#pmX@H6{-0{oK+D zQQNlrr)+XRM$xejvJwd^n`N_e$G5HtL^oNlcCJ}_R}n6!-dCh0{&K3!1(ZJ`JRj#< zcDh-q^Fqn{MzgfVWty_9AU~5QvhL;Yuk3E0NZqOby=4E`T+kjomBhzC#<4$~&EgZE z@XX~w;tv)|2EBY1*+}b|hKR2Vo8S2)r}8oIr2BFL4fDZ`TOol%lLdIAhgtKewvF(~HOz5?qq~(Sk-OB}I6as@U^h^#`pF7eWu^oD2T~tuSa@Kb#Swl9Ah65^ zdcrfiIU%d~Ie)PAJJ@3fup0{Rhi^>G8j!1FvCwy(=0QDcw3+l*vek`}rsC{+jH zyrWR2<6Jvl(M2EJWFu^zdAF8hM!{N&W}xDunwrFo$_rDJXhBKE*!oQE4)t7gz9l^9 z`3)5de%O#RI7PM~Bj~|isN!3XX^q2x0s;DHS_9H25t-PFOzH+EJaWctqkgV(C{bo) zlNi6?A(tCpTbamHfTzNl4GBt$aN&Bh-||IXRoeU2sZK22lrg(kiu(?^npKr{u#DNWJIB?0 zDnZCm?T|+sU%%ki+f!h$0cSce#D6}$E-&C+T9d3zM|RIJH{aGo!R~* z_>uW4YDbNII5XQ^E4>peJ8)lTd9F`0wtUzN1u+bzFJAap)jy5sta+3h*(NIQQSo3vLPcZG=KAj4~#|`J+b`Kv1bSzymqDT9@jBA@UKVitpX%nvljyP!5?+MN|{ zMhN^g>e_5tryE1ei`Hzlyf!==^6ta1;0R}{@(Q~l; zY_q1~mS$LddF3RxwS@7}R`e%_6kLfDlvn(S%9w0K=WA}7&dpPMz)4#AXy5WYs?k`R zP!mUqj~mXxOI@_W0#G7(B)kEd*=}zDEsD^b{@RzP_qru6viouh` z6?ZKA-{|SfbW23iYP4p^Bp}>y8|8>HiUJ}`S7GdG>G7j9zeS}_Rnvt5dmuFoT4N5v zpKG=4x9kcnOpE`_U2T#J?f1TlFqLWkjnc(UA8z@;CeDj2+1q{y#g z1li%NO=wjZ7F39M$=N0M2PR@VPhRU95g-kr+bC-puZ+Pu&`Jnl5%cX7-EELw7)$?D z)%2m?bcU~hAdHCn@VBn*>Gb9SF$NEGa0qb?^7|D2*i=qdje_l{=SGrFy1VL+7@jq{p(I5d(ao?Y$EF#X8fN78LSC>rp9{MzgjuNjtDodT)ktsx6Y`{p?rPQsCW&S>P%=eEOg>*3K6MJbP| zf_w#nNZQSh`**laT4@)@y*aPHv-!%HR`8 zNj!`=(sJo-%)?7Fr__;KvJYLk9E zZxJ{lJG>dCAPp`@Yk+1OI1VX62Zxb1RBG{XpecO&_yc^~WHDxEk<-o75tsQ@%==;v zCkUNfT&WG|1OGb2sQfR)hvs{_{YAQkrcf|Xsjh-johKGTl8wS74}-f4ofae>uqk`X z_eSHM3P`hD;z;a}5gGp&0}?&+4*8?v$}gn78x^ddiDw9;r;+_O>SG|Xwp z_EVBgYY}^2#(HsCR%XglYA7$&F!SX0@ys$tvekw1e$MX_S`TAN>oQoVds|^taS@bS z<3Tp}$=^H@GK?0c1&+U;wKIj$bD*qhdCXK`R>Ieg<*WVEs7)`Y5>?XMI0Ntb0w%xzoUc#{xsnMKbZEXi}0~+F7VS(Oq%I4jW@bIv`7u<5MAt;@#JQm z%Z>J0{@!;f4tb*yw|X2IGKlRtrcEzYrN?s%gHWgnRwzfMQDcdN*r?F7MHL(hx0ntq zs|+&PQPEJ7NFpS!s$)h@ACCa0fCK~l@k$vvV4Fdq%_=f9_|CHao4kSNf=w%TLaFCV zXe&20N(2I2-43_wmrl`0pg^DZ!ACjQFYtx>^`nFPq50m1>h$o?t`&ixOv<-%qJZK@ zs_QttF{W&`P2FG`(<*`|zU!dwKL?marYPJI-cH9}HOLBTt(j>k=2hz#7{R)u*e)z< z(d%=L^2Ll*i}^l`Qe&^!&vjc!5@AZ+nk#-;IAi7+A!us8YRr3^M8O`8&4^=tMBXYy z-$qnKrZvqtV_kq3k*`HgIe6-&KJ@2{s~w%nuKqcqk-sIY)=C4`3m+F14bHl9VUR-= z@CB1M#d#I24|Fsoixy%`DDl<42F#VoZ$LO=$MAf|-N-HvbQcn>J-iru>rP#e_M;Cm zzoztIcxG+M&m%qfd_1+*4`}cd+-6Nrs!mzROI3Vf$`yeZ!Gl^(7Y~?AI~}ROarM00 zLT)TfxSY{dbTC zlvj+m5=2ecdJyBT9lr>l={5)Awqd@ZMhXQ>G3#&RsRNbN;iYUt`U#rt(^y~nAmDvZ z#8Dy{OlQ=_3Ul}qZT-oY*dH32dC1ofp0&%ofoy(0z}d6`NYbWLwzf8#4;mwK(HF8H zyO`+1%D(*9)`&_JjA{tq-l#7`N%L?^gv$8rzMg7JGaI3$F4@yWzj$nZcPb=8hi8+< zB^Z02iyi7!sx1wPMQ44>5YN5O&rQUn+ilGxv?(somzgjEF0~6N(($$(X8ta!zew+$ zMd!LLetq`-W)kG;rt_{P($%1RDqyK*I?m+t_~(lnOb?Kj>)v~;z~g8}cbesa2vP`#ROGK~JUs|YkE z;@P39TU?M3-mf3xBJ-!P*$S1-h~=){Z30vmUW)~D&7M=Lnk<}PBWrq}uFZT;au#k# z@#lq}nc~@_*vcxyJ}v)Or(((T-{+Q{eQQ6+-{bi?%oZ9AmvSG5a{5o`{ZrnLT8wlj zvcAabLK-eAss7S41tv^#d$w{qo4lS`Hm0U(G2fISt-!lGUBNEB{o3z3br*F{Ldy$X ziRTpNeEt!)Jf5_)rVMp}hR&)u1S78L+n<&l<4nOs2hW5tDAJ7m?x=7w<*5PA5~wlR z`0kLd!rIE84ig5Q6#ymkVmc;7*9hgiH!+%`}*NXG*x&AjczqX;2_Q;fk&lm=k#C<&Rh;PRP3#GrQJ`y|9 zxtS}8QtZiK-WgsNJS#LCVw2ay?mVPWB`lV2Tf*!l@trWjR0&Zq~Qoce&{x0zjoi;RU4d{|#2z(*aM_T%Z3Oc3XgNdq`4#xI^ zGe^DjM;kNzo-Crb1-=ACro8Sp@qp#4(ZOCT)F8w_6q*RV{E1<(rT;BuJ4E-doLE@` zT-XfrI|gZOM5wCg?ZIvgK6;PlU+z`0NhNCp?W4vrJRs{cmB^HJu)#{%ZTTVtRPnLA zppzK3LRJMbB?CjT99qfuUV@X)ncXc*Zhuw7`0As+U|9>MzEx=IIKhugH}qbLY3#1Z zdDI+-^nuIgTm^DsCGb`VD^o`=a-fJ0qV(bGT}hF9KQl%vA)!`MB1pzx4U!R-4%<{; zeT=jMXkOej4{dYsYI$1py{uHf5NIZ}L>Q}l>3~u5K7*CfQt4z`oU}rp{p};3qY~{H zCNY|2e@(hTd15^DG%UDJV=ahzCUq<@PLy%=d6_OvPb*xkfx7jyGLLcP?>X5OyfA#G z%bViuMK9E|Zh#oN;(%E8&oGXKfs@r-5l7fn;36HIX*~KVx~6osz50FATD5?$ChBXn zm2Jxn({5d-YY)c&!tKazQb1c8^3aZPlQSe(WlE(N@$m8qky9_OxvKn1Aq0%{qQd_!y;NAk zvsyi$4^b+!d#StKWj~x-Toqc_glWv$-JH`rcO9=_ovu!@E133}WAi82Eiqr5;nbWD zafIJp-}dF1z+bR(^)7bUaZWd9VxftuxG{SOEx7zMjF7lymT`>nB{|b-n{L5Y?|{%q zx!j%(<-W=tlzeKMWBKxD_ya~$!0}=bGz>$tSo@Mn_M71&9zRM~X~=^5C``t_WtjMt z*`Q1-v0Cw>T5CcHT`B4aNnV-3CF->td!vbuIFRm#&9?80AAgVEvI<{^N&#apeMh=0 z7soY1;;<83G}aKa*fmi)q7~wJLJ<`Y-01bD zLA@Z}bve1Wgk=)mh@9-a%B*p%fl6NMjg79*?#FMx!m9;&+VSU!rB2Kem`Bk%-!~wo zpW!h0!Xi-6X{};cG?K&c=&^;Ru&jqhTm#}9?M7S|Li1xchR--4O2|(#p`sU)nOTR{ zqND9hZ$m@jTU?`Q&0xIq$YkgU(*nyyc2*F=)bLR*qhXGT5h(ijQ{3B5uDO&w(Ni($ zY^_8w$;Yz5Wm$KwyTiPU?u|*#j->EY&#kq`_bWwPC}T*yVDxMvhXKX_g6%kXey*;4 zSnYCOlTVT4TOT$(pv!&-k25;rtAPjA2js3+gT#LAu6x47G;KUlI*_IhU9rVO@_MFK z$yS0;ytgA~8&wS+2#*mO*dV=sf{n3|3#~)I#ckQr1z%PF^<0-Pag|wkjtZHEsu7hO zu*1Q|f-=y;V4@|1I852Nc9)TtC-X&H_S!97p|<MEgUW!2^R$2JhTsm7tq9+f)7BU1O5$gumHGP z0Rbi+CeG#nGoUlj&cWUbVBuhE>)-)22bg;O>tmof$Q9&Z53qN$GX**WK=uGf6K9}3 zxTg!y1waR6wq#}k(6aLKas%jC*<7vYX~BQbm;e+WAbWdodlP$efW3nq$Q}rE`3G4Y zH-G%cT-yvdrLPHOCS^29Wz@ubCA6yz#L>^<_vb# z?0-1r>g)h=0hl?s*#h01T>yLlQ}DsR-21Gdd zas&PoDxfpS49p40984I<0t61kzoQLw1i3hv0|6c&S1T|r|IqtS6K5d61>EPKh=RZr zTLPW`D~kVZ+64%<3~mTE`X3YjR>c2g$;A<921YXj+cI$hNA!QS^*;gx26eCixBJK1 zzs~+|qx;8U2Y2w`{}pPJe+B!$od#>`zliylM*rjbKlIVL(ErB}$le?THsEGr`_D-a zD~ErR3GVYRm;Z}}|0A*g=oc&oSD-z38vI{FcsM(_0{?IA|F;-TK+XVju-^Xz^Uv{r z-1s-uU@d^`!P*4VW$Nr;Vs2*Q;>z^T^sqAlkMaLa(tl4&Nua5-n~Ad*fR%#@z{bML z@^AHm={0vV``5fS1FPXb(ErwtiLIlR$-hMemOof6CN3@@OZ$JwbNHYA1DL!0BgB8A z^>1_ke~h}h0Ng=94j&^IaqaeCbrA~4KPXnP-h30pBs2R0}GZ9@E<7fbiu@gfPf&6 zK>)u(KtMq+cIm}Zd9>4VG|!0WJ_f;K0KQ_djU;EZmh-cpZ&{FyZ+1_)wq#X5uDT32 zsG3`-TeMP8&SQSlFpz|eERoR1(*}8oh%zQ7dYXi}H<=DW>lUPXiUORlO?4pWt-})W z28C`Qwl4zW0>mveJl0&M=T@s@BmchN8u)Kt`CM5FzpeG)blqufzpu@Fygc2#aEz}^ z$f$PzrSty#;+>Il$}wH&ns(skol66BHB6bin<0}LI_NOh)#9HkmuK+IoGfgO-V>1B z?Kzft*?G@7@$;uIuhBxpd*+F$K#I;7cGEpjaUxrap~|GuQC*@}r>s$`E^4eUT-s|d zT)%5IOqW?yBAX=tE#8H)!De9TL^!q2bvv-`HU84-$6-Q&u+r6 z_5vhmMUZZ~9uB%VhfHBxR4TVb5mmwS^8&g!=k?LAF@1`S@^@}Iz2tJwl+%_fsb2>y zuEjVbUweM2CTp-7I1V+KXPN|gl)9!(PQci_x(kvhhHD$}E-eLgkfA>f&%=4^$2{Ur15s?u;m)B0)Q6T?#(CvE4X?gyj+Te5 z>8E!zxaKZTzvlGSYLu)0p=8+i%?*t{c*sY}mLET0D?Y4ea<<~?*6fqh(bVrts2!{z zdKKG8wkz&u>>5l57uOStbuYS!((Q=xY)b;h#PJ$g65^JxCml81v*lEom{;RTxWY2_ z+ZEadxf!Ofc;`PWF%<=RN#9w_P-rytEKsh)X&Cg&tFA3I(t)Opa5)>Ha&hoyX*Wuqtqc+E!c$wv_iTQ}vYGDhIxUi;d(VBL z_@kuZ<%CEccSuYoQ(@CsR3%b;Gf1d{zUZh=!&_VvXunZ7*o=gH)e*L zX#5nWYDGvor|XWMAY``W5qp0yyauJ=$URC4l8l4HVcSEqIg8+z@S=)&IdSQT$#Ke7*U!}?Mu;MHKWd-@_A z!TrTp0jNXtg;8UkgPE}*XypOr4^KQK9S8(4CFA@Ro5wu0*P`xwS-7V1GN2DqNRqL{P&exRlDz_yBC z)OL@By0S|Y1`>a)VUVe~-wb9JBzu7E4pthKJYMyilxm8Prk{299^W66!@7+sES_vD7+_?vz0jkHsfoi` z(**2AKdWk6&x5CYfe1iWg|FyD@(MFqt+zbOR_3%QBD7D*tIzUxa>Fr0vk_@0JYlJ7n6a&8;vCX^1$lD?_=nG+ zI^FRwg)?VpyDFV=Ni{>ex}-Qv?bm&I#=>Es1tg6{(5*zKONYsIf(l=5XuQdv&GLxq zRsuZjVJOrG>t^PqC3)b@8hXRiRWb+ItNRjfb0*l}pBQ*6BqQ1BnchC|S`$=L8e;&8 zrKk?;XbIi>R;4pWH?lG<$*#U(Sjhb#^01nM({?J6=3a$VrfA#n;&UZ9Yq?Adqg47x z|F+R2@1{K;Nv)kObkRJ#9!-g~TdIW_??k&p1n*C#{uK1lmjQB#|55 zGqDD99r;}txf194yb>U+jWDzhe+KW0PxPx2pFyNPz1uvSqmXJnY(nxE#S>_uGqbWn zdg>*FF%qrwsc(oD!$H+j6CknVpW zeXd=62+r=&JhES4}h}nFP-#VlFCRD+<&)7kQ5;1M; zSEu1Q-hbLm<)ti7S_(%1J?y$g$@!#{q@esDUpV5ZVMyh6Pe{M-9GNz>RH@L`8$t{d z2z5Xpz;Jq9N4#2PvFCKAZU1}g8zhSNa5G{1y?Ek^8phB$?BXG{R!B5W~TYkEy zu2cUM5vS(wf&j;a>3L2r)sz4r#LkC^;H(L3)99NP5Qz6fPE$frwW}5$ zsB+e$Zy-GKxE@7%koC3BE`w!{7%}f?)2uJoP%aegh?>LNW>v#Aa#n8G3yw>&5OeSjELw-tdIccxEHwABWBucJVEkA0s?o!%QgOY8s z3Fz`Gu?Xo)DG{r9{&dwhvvuU1Q2n6Z%Yn(q_St|65Q(uKr;z;T(e%S`)#(P$!!&0y zt^DLAOabF5CON(==ews9<*bm#dbUd}m!vsp8-@#~uniPATwPSR#brS5US~gkSU2*% zchJR&NDD)@tnPrUUZ=WYmZsi!4VcTuJ+_=CnfgxIouo?QE%FK+N_CCgxPoS(-m|jV zcld!%X^%;Z-Zc_}X&Y&b?cc67>T(4m{o{zcy+iS8OVP_6V8pQcj-nq5@nxpfIhG5~0Mk6gOCt{_XgGQR52B|Vfjs!y7Y6pwNa1o|-l)kXhwcryO zO%Pm?ZVOUI*IU%vjG0g{m+3yu`jnAgc|(!>h0Bzy{0#KvrI&tNYx14?8Q@o`qb11I z#{(xc(C3T9-4E-7{aL4Bhz&ORJz(D4h< za8h~AoOPTH@r-!@reCoyJ}!bqxRxqqzok3&dU<|7%^Xp7!80ITLLjTZ4$iDr+QR1P zGJ|$7@-ObYa&H&N#@^z0%*xyeruU-_=xd#+mdc4?pJi&B4j0|RC0mh- zD&E(+m;uzqD}%Zt&(tG?#~tC>Yc9uM$4$!!j)@?XTkGF1W?2$GZ>wWxb`Wbz;Tem~&7wO`;)4x3f?3ONkG?uFsDYjwrQhl@uyDGGN6_;uh`2St1% z;5mgDN%!=h)E6i$Sm~y0AN8USnsoC=i%>x`!sHV3s=BV%8$f)MhSV~?x?%Ed74{9Z z4+bp}`-;OdzAHv1B?hfE|Q zRdn8+@`aW)msA;mN|S)F{FAXBHX>kmq-p&$&nI;aql&1`(i?3fFP;^3mr<8?;#eH1AQ{HZt-rW<;5eG}vhN&b- zEnsF}l^4ek_K%u|XkGptGK>VR+0Xlu)6%|7`zgM}4_p|u&&i+s3kd7S7p^|tM*4Xu z3-+(O>*E+o;|1Pf&xoZw*K_nJV}}I@$2#M9(@M0_Aqm>u{rH}KV=dC&=rFZp;9{WY z&dX0_NHkZ)6peJ*in1At=$k~3tMnQuwaXyVH8=OyMC8al)oMsJ3GoH#rpR4~sgtwT zyt`qXK(bMC#%bD+!>RLIt<5fb3Z?P0Z{PSlG{;3Pqbl7_xN+|V~{oCMX zzF(ga!5c}j%VwpmI_IdP-CsHn_EP+v$D4{}rOQ0%01NF)V+oytrshnVY7JhI z(8H2yJN?Vcuw7H^+UV_Mvw%DT-kz+|{AwI*dBvd@W2-Hi=^(nE?Q53sOtZqets(kDmdL**?A5+!wL$b%fHxS)yJM}`Z_X*D>b9x3>oTmFly@g1)_2TJ~(Uz ztUFqd6yzf;sdkAca-r*yuOWnGeirVLqF)oJXX<{2Ke=f99EThOU1)}pTH)Pm+8yx8 zS7!zA<$obZE$@OQk1LFeSaa7mgf7)D9KxJ^n4yZ2mdjC2lo-;f6)bl(Y8 zR6aZdJ$NOfUtj--ju_X|BD_)EIV9whJ0e@$FpceO*D>ki8SMFH+EO2Xm)+D*2^Li& zQi&QGKlN@KP7IP$4REh>=}^?7{Fo%S^K3H>1YGtScz9x&NfO5G?w&w=IL*e7s2i4* zH4cC01Vu5XPsFR3mA-yxzjRs+chZRa-B_Sz`#qf)Y#W+h@J|?;I<(G>^?d_so}v-9 zg?$=I&bt5L+bUq#UiHW1F!06W(i^pCWsCVhf_40bxD3}3UVPp(BHP*8~BfiNCWG&&uw; z%wzD`LZb5J!n!2#t7Ck7W?)f0#u|PspiF;WI$fDn2;tmoZxW8|93`?((@>$WP8~tU zNG&<}PB+$+l+t>_g#C(Ru_Rn~A{CVgud`KT23KxvIo~~TOi4*L5C7|x@?(3b z5$8-oWSN}fjgiV0Rt@EK0}0Zd4o)puy~yF?#-qdb=1kOr8mmUvjnM&2e z$bV4W@&6=4Lyu;O&$<;}EfcJ3N}_DXF^^reufa&o|8Q?n z^@JAH6ZLLcT>iyP;*#+)d%y23a{f5sAGTfDAS+2sJE$$l`@1*m@n84DGsyFbi$Abkwp!C^Vb+_r{Z70r5=S*~XJX zO}xr<_}`1u<>bAPmX`s#+>vX+iNNM#OglH5V#>bY?=%fRPLmG(?8=GIZ*cfEabIlo z79Ru69TJq)SXvT9Luz)#oUFri`RY=Ac?!|&bH3O23+qsp2g3Yh7jPx3z}==E@W|7n z3R!YDBG9b8;nIN5-ESG_wW8)LS0msS+-I+3Unh~-$W0@%o%yb1Dd{7u^`YZBil_OV z#i&V*G`S2tFLW80MBzRpLOUAip0$qCK20JEcYpBKA-ba5V*HVp$Xm?ObuG$1J=bg} zrr+6rT`#Gh7~KisM3ip&1;C@MLPC8wj*`Py-}d)OX14BN#81=m=8o(L`C!@f10 zgLk70uyFl`zkp2e0I3_6!{emFUe48F5YY7Vgc(>$xkxzU zX2gl_`LK}=e)^cO7tAAO;tT3xa6{=OS7jVD-c?Y`lJO zgL64#BZa!eD91oqCHCN*B=5v_!XH5DSqHBhfvrTtZP|&B>sZS|XXW{0>e}^k9}nfi z$w&3;rp^}$f)e|?y24>2?}K|R948#!v}MG-M-HWGc~a@QPeCJ*-UklJYiT)~9vxDC zLc?m2%a4Db;TxNG?`?y&4To8_+Tch(+DDmVPM(dewpEF2=#@=KHI$}BfQZ3}5k)2j z?OVM!A@7+9_|G*Zn3ZiZK@@-bSQu0kM@_0wo?$-*=o>K?YS6uxP@}#(QM{2}*NUIb z>}cWdWq)Inge!roB}7X;N1?u%zrYLWVc!3(dhprBo;())u`WS}V{4l~^5+7bU?6>) zIux2aNyl|qx6>)@BKdJBDUHhpB}e{^V}2U_Kv*Tl9>4^l>_xrf8HGic-&BM&C|4tf zgXluS zs%t}i!l5VCy9!sq%+7(hE90oO3Z(K<^m%#Q%>dv7aiz~b0UwcX=cIIS7y+2PL3cc? z8m%f6*2Fe;#c>`|`X(gXTwT?3A0e&5u}+K{F*kI(8w?EM(0bzM7d$g99>y{vdVb;r zfyzUr=D5+j%iIg)2&|s>xzYW_da`UbeBMs_>b!gegmzkP9N(a^TJC~3LKNQu-x+j@ zapScX3hHz6@;JVHo?#3|kRnfJaOVoKHGb&TXz$d#S)l8D_}V_IO0alG7d8PgouYd& zucOPhNZ~7YW7hwyascU6T$-iF&2W-4`#Ez6&?AL!bux)VqU<(MwWNx@dBVD(F}jE+gm4Z*hb^^tb{KHqm{DGQpNmwmvSSc1#M!COMZ0L#8Ipcj(6>K% z60Xb{92v<^9$<8*5~<|(%2m>`X>-D+P)$IXunO_LEa#z1y00y?+eBIUSH(OrV8^T`(lu>rQO!UjeK|=f2m{T0 z=SZW5CQ_2tENZou>AFa>LdQp>1Emt6bwDd~PWXozfGkGM)ENht9*O!6i@sXJF;13) z-g%s6P`4Nn@`o|(0E`YXE+RZY{|_hP(2&gemJr)x5&-;>XD4}oR zN!?Lpi-kU5zP#PM+|dnaf*Mq)%~*+X6p&m50{~2{vNyLLXB0c++{0Un)y_J?W_yl0 z42)6nJ_~CT*=;aTZ>xSJK5WCDqV*Yleo6RB71yIO>S;67A}MCrxI4KGZ9wq0co{L| zi+#S!;nx9*>FuGjllT$oCcOE9#3_TK3&MT1L1atLC<;Z5Z01E%99boE z0i7c}`I3Lzf-Z^Z)~t~|*VIi!1c9AIl)2Ed`P5NWRZIkQSEDqMDDz)Wk z;z^t_R^R=xs(_AWj7or?>{|vm%7J%UyKYDotZ002$BIB{+_EBG z9wEuY{s#AWxnXRkYj|-P&yu#mu53UVmk`e`@!pt$dRWy$q6QQEJt*}oX{(z^{OQcc z>fG_~1`cs|?X<w3Wlg$*M^j=NO|1`o8vHc z_&d2A$LB%-3X4(c}YdRW;yH(d0G>X2TRu%0#M= z5Q`~NTN87^j>~VHUe7ZPi^1A7JkUXvsPKe#cUF*BU8<%Y11*c#8C`C&Bf zVWVNg)K`Ve1dJta(KFtSuD7){_QEFd6%?oqeP;Pu30!-oZE9ESjq{m?aNPXucV!nC zAxz&>L~+|u>oJcuH|KU6(BdU@|_R+yo5U0NwQ$ zMqoV}MIT0ohxm^Z_{Y%@X{wJ7^?tQClAdn6KlZ*_(UF78kr1uCZZ%=ffiJ{0J z+RxOE(5>9vCn-X28M6!735UGW=5jYw({9MDn!SzW(yv%<5O?hp<$s~$9(L~TGR-)Q z$dk;(S^G!~xev&mq`kHZY4vFD@WCGT=U9EP6X8$V{wpdEu|@bAzl9D6-Z_7cXMa4|Y&m$FSzQ z$a^Z7RUNsLvhbt#>|lau{zO;H;g36n(v5;e)Y z&dA*&fJqMRRtD(G1=OqH@3aiYGp3~xUPBWPw@EZx=g8ID-#am(ivd&A-4N@&uh~fT z)H6wq4i#y>fYQIpvHi10(NN=MXx&KB4iqAXs~Fc#Pr?%T-$;PNz>DcMF06T4BFq{u zc?6lEx226UgaWZfL2heZlrBUc&Lj)crrA&tOuG)fzg zyYD_y$8$8^Blo+uvsg$|DvB+{3TQGK+iqvR*-oE5eDTbtjgTr19*qv7)v_fRtsxA$ z5ovwvCLU}TuG;T?ty#9n(fYKDXUh^bC=&PUhfky5K4uV?D968p>+iRP6PxzCMuhIu zXmmto*PaOui9l3Iyclq6cH~nP)rx~a9)aHEI-xbtL-+}tW;~Y`;|Pnw=NaDbOa^(% zCT-epcIpCz#b9_cz3A4CyG@+b$iUg7S9-S#2v-8edZlVr>&}O`d&4zU6nZy1bTr4S z6|7FQvsR49<8w}j8q}s4)~o7bcvYf@WcSpuJ~}?{U=kUO8P_=CP2iYniphRp|2@PM zM;A%8JBdpex9d2+NRrAk+o`Rt4&PW<`L_du z{SIh$97LSyzz{6&y6z zBy1M-mOm(+P(k$-tjB+s1J#OUoTrqr%VGd}ipPwMiaD?yv*=@3HSnvjqPo4Vc*8_} zlGLo6c_v%lUBTNwaXYfvbkadnU1JH_ZP5VSG}pgd0or{S9YS)t zy%HPtoXEqx(2dhMi5PsFc(x7e)lF7Ow6>z7&a){#Hb-&bjgJJl=c=2{_XO!ug0=_K zjF2KYpi~DwL;nO5Vsp^XQYb;J4?M+CMW7gmo3^%7a3bceV^7FclAXt;;k83^WHFtt zS6a<^fkwt+UAb@sX!QaS5F2F?~Ltt?kzy5 zhNp-+wKV}BvZ`9QxESs2j}Dl6@xP?|;yfj;GXs_jP^Mb06d!;PmtuiMBh_uZ#b;veYh#T;?VeNr|5^# zH+EMiMUFe0UzH&tceqIsfQ$JberqXz?!e`1=OlgO#8OU*8y%i(gLHop^_ju|^MTKf zqQgP-p<=duds%+&z})-$HV)z3S*;m-lvUB@;{EZmWNk;p+sO3e86rj}nql{V4HExT z7yTlcH`+{dcV!LMHWMwJHkzqjaHGB6pp%TfmC?!dwtZ&k5>YD5ACfsoThZDG>2XG_ zEX6KtWVg5D((R!=*5rqdP7vFCGK%^|tuA~-mqsq}pZ2lpl;tWbMvxU}9uRj$`IL;4 zlKg5jI}SCbOeO@V+1woUrWnC)(IoX{YopW)rdcduZP6-u@%D|94_n(L&mFda$i>zF znrxg6=cajy?HsLHJPVK=?qq*d2FKkNbK}VHYW*pWPvk93IB3fs)Zzu2tSdJMPG^Xd zBE%s`v>)SibaHZp#?PaDmW*RJ2k^sHBDW>W5gWfrwz<>BRyLn4d$<(oWb%6rAU!+_eUgxlY#<4p1n^$tHGe(64X= zY9kDNzXnZ101#4gQb}Z>Ik05dHj>XIb5V=FTuHDk%3Jg+2UDus&+Y`MZCOEApo`?g z(RH)ga!GzRTlB73Hcljb#iTW8T!u{y%8q=e&C2xxNoVrTk*(tkSaz7h952r;M)&3; zHm0VtaKaEPCm9N$0dQm}Ur19FvNMfsn_!HlPzTX_1PP(I_C*0_Of;R8hr?m1tQ1;V z35XZrEF&}+TWBv-s;92_5MlZhu_MR<|J*$@EPZA4V1zkwOw5Nu{IP7N$gZK3kC3c# zN~e?!h^2a9=;%Qk2v{J6wuU3Am^#vn@MyHCJU4&+oh=!2Tj;7m<{EXoHJ^k~OChwK zZ_YCU6T!$2Mgjlh^Eb-oD+b*5uFtdJ^vuuBi#dZmIq z3)IR_?xR`-y>9V4$12xsATh8IpLTmXT@aE3h!cNAa6OYxz6;^3(ggqL*IUp`E?Ik2T0fB33a+1S~n$RU2#_3?Cs?6Nq&=jt^i2tb!gwb`?;lu2@i=1S5ASRXx*)2_Y5ej9_ zrlx=5KxgHoOxK=h+q+M82g(9xel73;5Az3r9q3%UdM;~ZGNFxnN6kx(5I3^=} zjpOYdlwzCtmr9BHAK=;he=%a;a8z|rQyH>L1!mFFONW%weRN3w++)t>I4vgyI;48e}d%#qAR8Z>DpYtfBb^8rZc+Zqo}vPcZ_};^vkKJYW(kCM1kgtQVMzthW;E?8W)4Z z^mupw2*+tk@o&l!+A^y~=u%%WsOo~wGk^5I`c?F@xQ70pre*YLQBE18tA`rCmykES z>ERp_Yy`9)^FEW;p3>9rN_zT$L0`YEZ(3dalo({ZLLBlHKv|3>z8W z8K1MX(kGaN+D?*p$?qO=8imumJ5e?UjS4G5XhCFvdEWfw@7yF@YwP4Zj*@j*;5;45 z$CzM~TvadL+e(ulv#iwAYLC;#1=}zucH^Mq*&^q15{d`JUpuRK0Av)z-rHy+{wB=T z?k1P$RdsTOfhfDtBF3y!REo@z&4Ei-2GXk*Wash|ZYDZ6Xe+SkR&b_WjbNG)4h|>8 zzCOLeeBU}q&Y1p+@PO)jCYwxJsqqhnqo{v8JbW-d9+{Md`0FpYI_$ALho7h{*&qsO z<-v<)ilzW+#OR*tkw-_+IA

        _aBW^$WV;wlIEJfcez@S2!87PtWnzDc(#LN6Apr> za3d;IQH8@PL!;gr_fm4=cYM)g-KrV%Z5g{&(jX&3|1w_13{xdad+#L2nJYo%Ng5LK zck-Rh{{f3n7w1@YC`m4;v2p%gx)Uu@7^FClDPsI0u4DK;wo%Y(+gf5n!zAF+nRBj5 z@>TLD+B&2hy$DmqTb52>kAYOx2O>MF-ug%jQ>W{?%iq%h`(e17&X> zc#c}KKg^bB-b0-O$5<{SXfTboZPAcy#Om6X;(rB7VGINRtLt^OSSze7tfi^Vz^|vy zJc{~W)ygO_zy)Y{k*Hp{6pMV0;O?Kj7iRTrOTPruGQkL+w2`%|^H_EBAN4KiVBm+H zD4er3RQQe3Gy@-t)_fYK0TET6n^^a)j@ zrj4O*Y*%YaN`}=CcfdYCy_fjza?N>oniDCvrMbvEF#KEw0V+ykELkbgG`Y^BU$YO_ zy{v@7Nvl?QG8a}VB81X*sPPelKYAEVrdeQBx@@)FIbu+TTNohNxx`bm?v9dwaX zNuy!XOs9_KV^u5O2bJ|4?zkkUoHX0ieDnFcx2FadwxdR*%_dk!DD)=GIxeov!?(#f ze*0jXyHJROb~kIQB1{*4JFf7q^1GvQ^u?fqn&P`h=6tDBX`m49wy9jtg@e z9E`C9?9ui)9KT6cSSRIf=du$!dHcfK=?uj;OKb0V^U}h1w#*&fk$l~Bt+^V4>p(Hu zwj@@+`Lj*7F5e8~r7H}Od8usacwi!(B7^7eMCFA)23DY5snoVl#Etkmyu(k%8|##O zx!P7?U?yCHNt$IC428T0yDY8A?0!#(h+5EdbDNgl+~Ce2egsB;a%e!tQ1Rdb5wAA`-Vq- z6sxmJSsyLN5cgPm8egDQUr~`+t`hmh33q66pIk+wF_{rZCtF25XpXRU7O^I47$>{n z`>I8kUd3zpyehJ&KOQ@+2!}g(?a+}98(Jdob+-kEtW2)pBUp7&f3)v3Cm817wMIoa zY-kL>*4>s15G+CHxW)uO{n1c0r6s(<(71&7+ZtgGmeDds{zgh>hJxVn$;nZWXys{9 zMW>*J;>&93ZOP^4<`6$28TtRcm5h9wa3+0VkKup&@V|rRX+Rawk>JYtOJ8PIXK{m* zh>*L7!?&8ozL9Au%NVyG=T&b@h9QH>{RN35#6O$iUtz(fA=2QHFy3RjWNgjeXm`BV z3hceDFuKLOjYq@b(44bTOT0~qJEpM$o2hJf{VW!Tiry#0gcK6XU{rZ$waRCkX7VEW zAud&UwEX{C!_?cri=tNxy|HA9J&UUgO4)rC=UtGxRk0$$2Jb@Ti5S>fVe}(D0^(*M z7Jh<90cO_rgMRIThljT=cz75tSZrJU4+frj%^1C`3MNSn=R(fq;o8O)Yl|0hMa_gv zNRm5zWDH%G?Pf7mEW6OrkVIB7MR@L|li!W@9~|{8y5MLRe)vFnYS0&0CNZYAiz*bm z66)Gh{Xh#(GQnO}T>i#M0CllM9Peb@n2Q-E6oDmzP?N~5??vOS9rV#nB_oi~Zkv6J zNm*yq8!XFjMAVmo#nn3y%0i5GCvz==YYHJN)JKu(CMdKhl+fEcG8_{Y7}bgMi_@!c z@NiZRI=R$7r$Q{HSrUs_7zjauwaVPFUHV45g%Gs6Ne_KFQhJuc9HwlrwbQu6Ewan0 zkwWBlqeEJVR)*Ou-nvFfL~hlG3amF)=TVVU0%1?L2)0X5JJ)PQeC&Ec6y1|mAH8b) z>u^({Q3G26gP0_BL{|hIb-!}J$uE7MLW3A97W!eGAe=I(zpmea$T>#0!9{YbJVeCc z;^enuG?(%Y8gGg;UF9xs@Y{s)*H{d;Cr2cOpB(L3mr}KDE;FgzxGd9BC)VjgNv&4% zD88KAUQjoLc_k@sIzyB7TW|oa=2jYvs3j+v8#f}2Cr11&n||}(zxx)*Ap$CP3pIqc z3>1>jL3D5CraBMhr^#4&rI+LF#69w|lOO^G1_W6(ki;f#TK=Z(i;G<<+e zR<|F7qtT!@xCJZ3MoF#7_ppsojSJt-=AcO*Y|H4AC(*NK&&a*qgQfk?2(Hlf3(27) z$%{;S8!9gmgr@47N9jjr4yV&HgoVSS=wXChs&rb@aI=BIPE@0FXKj(LZ9NGsK+oB$ zP)5@T1T84dO@0OGUWlO?jO~OMj^(&Q+Lx=9mlMS)^-=)jtbu?L*7szNeNohY` zgQ(pzX@`pQ^Qt8dRXsKVg))VR)vs9I%Zr@lyg$EPY!TcaFdccZOt%S@I#07@w_h9I z*s*#1{FB6uv=xdsm10&m!?N(uPsuEBcG%}0t31~YM+Wy#J$4y1CPae5M1|ot^N}=d z$zDMZi1}h#qj(hQ#cLRT-$k+_~*Q1|{B=8v8|m5p+SlkzE^eh;E#|5i`)1aEM_? zPq9{yOt)FB#fPD3>|G~`=~%DwwNe}SpsoUS?CtGDM+1}p8HWva_pS*wMb%R7HFsAz zs;Fy|q_eRs<|UIkhJsM_)W_$1l>B4w{l3fi+C9@vbf%U42ct0>@s9^Oz+rUQLp+;c z#SaaE-gGfw+s9~3Z|Jf|;!UAfHmd-x-5I(8_bmNc`~>>I?Z#_7dN3M7hxZQ6c#TKa zc=7lQ?eW>p#U73<^|gebN*#caWUz#blQ-a6dXa*mJD3hxCXon5MlK59SI0wr}r?t80b9L+@G*zBjE5*|oWuw$BK15xB zXAVaPRb|Nkptbls>1VgbMH)(yN)kR#gt2k zHfc@I2jS?ZAU$nNIda4)Drz%oBY4mltqa8wjF!_+d;_I^qDTpOI4vy6K*VNqB-O=| zFfgEnMg7?zTIY1#Bot6}^Ix#Zmj?4m05+tK$Q{3XR=Rb3-%&oT)aF{Uvm!NSI(|># zi@0W!Be3a97F>~OP9xn!5TE4c@QZAyl4ps2-U|3pDrZy4P^T@l%{W2(ta%M=9kh|~ zT{eK?8en>DS)o*W)BP(7-8RYnpt-Ox>FkO5P)3Z=)gm+L-saJK6*64I6FBnAT`@s) z*s(VnKk!o-7o(g7i+|kaGNSvhErl6pRH@c#rJ0LFKDOvlHWXE z!;jdIPPRse4$eSQX&(|^L zY_$_qT$dQLGL_J~Eh9OK_UKrwwO8qo4ja6#$;4dJRc**B$^x$x5Oha}qYDsG@xRcO zeT#^IfWc8(WSQl{gKvy=b<}0Bb1J{7-(k>A$f@9ylPG2@+2?0VRAMQEGZ_y*S>r7o zeHNs+^1G~fuAW=w{|=HXPlYtBR_6N+lvZ8|hQrE~uz|qJkL%NnRbjTO&hKx&|FQY} z-`r{2>#|emh~}OI=WDUi_3Mz8LW;0oQWlGiq~AX#_y3zad4E5~EMNj6YzEvp*)`t= zj+xP7uniGACJ=M?<+XH@;nzFjXovrzTsIi;yzZ zhFZKPW2e(7Q#lj6faJq;WX^{~!j)mrp=5#smC4CzMcPz=UUOB_t+%&~CTsk!{d2{M z9cM9m7pI%*;x^O$_Vjf3>0_-OICYGY{k>?pj#adIffOc8JcJ%swi-DtwyPnNUueLv zTS&+q>{*PRVvg^d$sZEAspb+1o<{oVjw0Tcgg68wKruqO#3l)LTK4bEVjxL!Brjei zlr;*$%j}@Vzeu1&@RY=)%Sga#A2ZPcF{mhE0e@EhZtW8(IbxN!rr||dCTL$$TmvdQ zbM=UP(Z7JRqN2|9Mid^y<{z>fpzut;iN{KQ%>D3rJ*o%$!lLK-rY&K7cWgSg7w*{J zn|CbKl{vAHR2iBTOuED#TZ1&j68Gw7^yV49$q5$+m>Xapi){2=^<_WYm;L+c%R#s? z?Y&gZJP0@Q;C`BUGHPpPb6u$x9)??Zct0)Nume=1j>3&PdfQuYOvrr>Y;eFG{V@?h z??hukbPU|atA-wj8+!ca4Q*LiVy77e8tu36=AV9VV@Lp{jS#lC7mG9ll?aKm;|*>+ zf#k-s8F~YB>5J=%)}8xU~NV;GWk_Qp})>{E;bvLiXDIp&> zyX`s4*<5CsPh9X@3lbL{-WW#+KT1bb)ED!+p4XaJL>qZz19c)r_7pq_*Q(IQBrY9O_tD zN2DkJr%6L(BeN_VxEk0`*#rrbgQf-e;WPf>v$g#B@KfuDU3qV?O*-c1AD?auH@CIC zAdfPZN;0?Or6iCh32g9 z1(=B1v^lF53iI6pe%NPQ248* z1sjufJlXeZjkfAfMx zN6`^nANVhF*WLVce`*Vzj%U~t>HTn?1gdW^doPz0St%{j`nS?`+)uPusYI&c+@5w2eFLY~0~b+qk37#vT2%jXUma z-0@G_xRcJto&2PY8+9JfqtQ>>xXwd(^wS=~qs~Kk^iv+f98?)qCC6&>A3DTKD`A0~ z-O~FBt-ANiVv$GBrjOzM`{*6FWV`OQHpS1Jhni%yRqyCk3#5536G+Y3u8ZC6*%lta z-RVRk+SGG(Vk@sQGm^&Bk0AN_F$NaxYeGbBNMjbv2+QsoFL_RDv`5h^aE}5 z*i^`)ylvPiBS77_0z2Vu^Ls)OG6x$emiW3K`DrDVX%^t8mGM4~=dkqs#58_%>$J$H z$;|79h1hKbq;|%;5}-+Cv(*hx7(QSpy6ro70%mh@8w52yj*&}77S|RYSgN1*se$x0fQsT3GfryM+dfqhZA+KJ_xP*r4 z)V1ZV$pTw@a~;-148|0JmpRulvhaQM*Alq@k={O78Omufx6 zjBxf)h~yKvV;yJwv0Gw75XzW#9E=(X>~|~v6IId+Q<5!UoU(x7_-Y!yRib#Tri-G; z?!Xpg{40hUQu|oKUO{$%G$cFQNF8IIS2)R_t#n_~BBgY6ZT=Yee^6h<8FQ$8F?`fx z--3s-)%7j8TSGw1y0~&v2a++E;>r47oslz;L!#ZI+gFSqQyd^cZOtL}OAuU>>xiE{ z|7CA$W?DN=htk{#sJq7a>}U~Jy2l&9!++sDKf`lFtc;`Qr)Q5(Uv3mB0|0%??PgNN z8BYo*{Ivad;pr-Ia|=xof?w$)Mgmi;d_wpFr9kqM54MMzn~E37Wm#ki>e9=&RH;2x zLM2nH=keti@Q1jnim7)LtMO^^SXvC2d43%w=T@e!RhcePY9b$U(ba?{YG?9VpSa{p zr}DPR`ABQ}#s`iW5&eo4qi;N$rAgGQIOj8pF#NgbTvvJLK#?p&FA>Sd<}rc&AA{&x zme-3k%hVD;)>=$obROIb`f1SlF2aQlW$6U88}}GYF$vLbOG<~a*Bs$a(rI?m>h2qe z86A;ZaD*Ns`zq4A;_?3X2-c4(PLPfO2@||r3wU7&tN$62F+66%1YgN$4%Cx29ox>T>&st$dRed3h6!N1 zVw)*u{nmEpm~F8*1TxB6@}YSMCxofQp}-&{kf{-)&|ujPy6V)KWMAAv7TJG_1Pb^K z&PAdw@B@aen7`1mUBVPlh*)vXxOk)3#un%;Uf`)QhqmrS`-eRjqw>TuU4SG)L4Tax z?=^>DwUB`d4r$#@`zeD{dSeHC&RtCGaY$42MGKrhN`>v9?qfw9r zkh3-!ZOs!W1S%WTg)fHK7KD%$A2rt(GW=(WRzW*D>Z;I2(mq+URPI;*Xz!hZwEnT; zuQ{dnJ|>Fl+BYFv8Mb4@z~T|2L;uH}g*tJ^H&^N$4`rOxjO@;xz-|ZBaA9Yv*+B<6sMus z*7eUc>Xu~had8BYVD7c=#_ib8$dJ3PB5kL0AL32{*^zQRP)r^%BiM(Tj~V>5kv&I1 zgVHd0b+a?oMiM?(C_?HX>}$QLSe(KBegb>}+hD;6z zcc$@}erAn&%>@1YTA~xKv=^AC(+d?+qLZ>#n0C10`$D}CY@4M7#ym;>-xRpcvDvN0(|V zU3?o;G0Mb+J?X5tJ*)#1FjlZxpNP3+)6(%9v{bI{AFHW*Z_re}dw;B!?!U?OBhY^F zqc!#5jaKUUkI+)_>uh8kwuO(7iqjCWcn~PwBWO;Q@>)Evi-S2&=Lu-} zDF&>g4P)QW_T~6hEG9r(AVc|-d}PfC3LL*U4t8idc+f~Z)qBj%uaktpae~#94W|wov?@BX=Fzo?UE6{iKTc;S;b(6|38}HIz^+S zh7ovdsV>*Xr>D{5^~wpUGFyF;82p{e>8@n#F@pkFWh$3Q=7_>_Pb%TR5>YB$2Aft3 zvtpJr9GwoMjgEQ>DH(!6b`@vyIm4oMExH#WXF<;yYcqb@B4V7|HUUYq=?<}s+w{#W zD6p*27}}j!X^hVANlDPE(a8~K8+_NvLB#B#uCrlYWaq{~G&(uPkop`66kmLHN-IHA z{lnq%@~)YPtg0GjDn4YKIyWZC&?d%LntCbD@Q!fmYPfox5WqmeFs_*V&jUQ_^H)8N z&dXxiK444_ahtOrAxw@Zhx%av-Ipm6m8FybY>_6G+erqs0WW+&&>cPqjuZ}rkC+!; z#s;e%J=OZStL@_s&l2sAJ>Xo475>U7^aFI|U@e1fmqT}o+$ILln|ST?(g+KeqI4sx zynzAIM9c9^6k{sk1Uqd*Ddej4(xWKkAO$gAXl%+!^kGE*INFPT5sgP99ovd~L2v!0 zy`i=tHMP}3m7mX=IVefb*@yN8M7^P>AYNL(qslH1h>r%Iu$U4vEevvk9PHS04#uu#*C4EeU-O+~J*z-Yak6zQi zXYBJE%4~qQRPxCtC_ipO^0#pkzRzf5LesPkE2Dt~bF(>P6NvS7xo*obB8AZ%jVmC@ z;XI*yGwbtsimF~IZZYLhSDXO>685aXWGlNcf_V%FiOzJms#-Z#;TeHNvcv+^3*N{& z-3i#_LH?0b5^z!*R2M!R;omIRnNx!+kvK2B zXUqrHYK>CGd9Q7Tv3TZ%EYq2V!!1b=z#kjZiS%F5R(pNF`77_(;*H4(U^8FD8fQVA zvcBCBC)rmkLQ`*Z#H!~6IO|*M%)89peM+rwzsRLfw|!#zN^^%`mMCZ%?m(;jYv0I= znbxA;(i`~U?|Ok|@(va;;K5irS;Sydzv`jN6M#iZB> z^^f|88}ilvI-INC%2V%WnTX3d!cZko{rF^f(#%u8b?&!DR`5L&B=I*mV^&dSGduY> z?j2BQiD1!=M-w^}sY@Sch6DwX=|7LYOUetgQt1Rq&+QP^UXfidSD5>NO6qBuo!^%7 z4M}>Hqhd@=lO`}}4i<|$mE=!zE799MJeNR=v%Q}9ezl`hL5fhXuXx$UXo8_4Xw%u9 zl1WGzIJg@v)@jrSA>@LSseH{4c&x=jFV+jZ-=mi)0Wf#zn-?#C#q*iGj#1XA5XnUh{a$3H36Ewc`qmAZU}hTF7Zu1K zi|7JQ7K)wygl5HT3K&e5PSreJ&+_CNzKa#>uAUNNwnYoaSkP6JJldKt4Y0)$aV7tQ z3^7B^pun8wPG(UQ2k<)Y3b6D(_CD z@kiFDp}1Zjli`NMh__~fz_rF$%kR-wFQ3{|yG1BVjF(e9U9>73=9SG%{IKv*;Zc}@ z{xW_YaXi#lD{>RS5#+tplN(5Y7EF!gP&frJ7CTBAfeO+knu6{!cccBX@nXncil<|oU$gsAkn*#}+*TOHlrAaS zUD;SLyhBh-`u4wM^S;FumQ4#ZpTKE0gIh!e*Ful9a$7k=<37@grQ20BB7sn~g7s$P zl)a;q!*AE);rMWGf3&~fBMZ#_7`aj5-}@sAa7(ykgGN!gprLxE<-A&mam`98f=)zh zAZKk{YS&Wa2FlIR3FQ}of2mx$->+j>4shP7#=YvuvZ7~-cOpX2IH5}S-J|QEm&!{Y znQB)dCTvwSuMoJ`F?vXUzNtb^gF>Md+W2tGL6hdBzDWe-#?(iKVUBihpu;e zoWiapTgeNgTxbQfbtikY?raXecFf7`i7{IeV!l~6g|K7F?sy_iJ1G%5(_b3+ zz@VA#pl)}`zKu+nEsU7bn45o-7H?jVZ;~#$fXPH>F>Y8*@C8z6>5B9~a#E-*9d9i3 zjLk564I`wL<41i-KiY!z|`~e4;Gs96v<2LXbIAC+^tJ=mWdr5pCKqX# z`mA^fbWoeb+#Rk$3b&3JCqVwsSS*`6Hp|tD1u>4U$hOrJv?G;vftT0l~7U zy`kQz>)Hk+K+(}L=5Z2EgNKoy3EZ9+J13L=go4!t-(eI3vpy;ej$PA0coTN>m)~(v zRTcxPUT&P&x^}Wz$BdVvb*X(klqf~xs4z4!h@*PGC7RCQg4!Z-nL0`H9$C}K<%ZBv zc0f*9T%aTwUx0LNM-`ZgThhk!mmdD<$p-9`i+V!l{felN^Z@SC0FI=1gKheVa819^ zh$fu3=PLd@EoRzjt5UL9*^IR{p{h}K-79ASd!Ze;rd-308{kv{loI1ckMrpH=T8N+ zytgZsR1VJ4{4*(Im>y$<*Sw(o?KS`OB!OP0a%iB|+*}$8DOLu&qO8t3WPy%fTX|wj z%yFJ2lUWRn9O#faomqK>$UK@O3srjZ$s7aQpr;e!c$vn_)dbTZ^v5IB z8#I&BmOwO3f{+$>{B~SO4bm{y(qWDcvQzs$IvDzVgpY+X&f+BWR6B}qjDCx&=XYAc z`$ij6;1i4afl2_4Q$1Eldh-Zd#)YYO^onFGR0v^*R@V_y>yUlzgzn!YpJTvZWM^{v z#QIHZ@2;A-+5feOQ>ReBFd3g$_+Bu9Fg=kBfhs|x%qHdwRGw{B{>x&ClzMpN+sOq7 zes)1E)?o42klbQgbd#P()io@yr6TV#2sHX5NY!%NVXB~Qu$18%v-lIw)Q^P9_w#$H zLsrGHNGojoReY_kAb3ePI>D?|Xd;>vvuk33fv1DkZrBr46^Lh4AW~R7|HPlx+|gwl zc{HZlFvdAei0=4n_};Rh+3HKYY0VxrZbHI25C~aGeTq-r6JRtu{5{n-YSuTr&-#Xq z`h=SQe(D>ZH0wLQ&-#v=^&Q=3eMimu4)3$R!)AR4_gUXTv%dZNtZ%ho-f1uJYRn) zId;yMn_s@W1^=$kh9#g#V-floSrtJM``Enrl!>yGQx7#0gpNFP44d?m9s4l1d1u6w z*#bf|ri8QvJ$Sx=XFrEmvU7s@B8hmGq*G8OkcPy-5`)G&W>+DPzF*&>KouWhiG%|N3^!_kAoQ5&2^ zefa*(f6gIso`oBp&aq}e>M2{cK?ZnMGZQ-5j6u-R{cRzSS+P#5G=`P0P;Icw@D-Cs zvo!|-2Rkl`3{A6r{oMe1n9%80CcB31Un=~Ltc5?s$Pbd@DUigaApj>beB&Q+@-^5w z6f6=Enm~|=)onqT%2k>({>D)_tmADCy#G);uS;x~0gimE@o=o7s zu|oX!rnCkYx7;1F8br@5S|4}yC^>+M4dL*s?ex3x&*SClqa`n-SIKKA`Sj<{@Y4Bb z>Ex<}hUCm3%sj|B0j(Jq$HYfoR5=e@gC3T!4Zqe8$Lotaq+OLbm<0$%WohLQ|jK8#)-N{QJ&9kx@a^MnCqZU_0 z^4-T>fl1ks+M8kdJ{0EF}7w3J|YRAD1#5 zgE0b?9}%Ba6}^tC^fi1pa4*6~%5Sk7{W1LS>u4u>9!VYW-)B+(Rm8R20#UoA&yqTvjH2v<0d++HYa2VllN3volNA%Yh}ZQrUQU z@WyXQ6ci54B8Al&j}B!)BaQQ-+)G{q_a2Q8S~E4(w__M`BmHfDp`0}n8~CXi9FXcL zCC4b-`s@oY%8RXmmc)?^8*N=L!qNKtM4tfeXX_OyC5p}vYi^H>vT9ej((X(G8`$oH z{S0*x1o{|m>)ohr9kP7!)fuWxiQpA9_R|yVV$BldF-o7V=W8fsbiBi1b1HdLZ6G*3 zw_PAwz_LZnW{cK6RxiIv8=tFC>B{S~~Q5vsZ zgLfgZ)S*RjPKSsXA5*SE*iK6f%*DIkDz9qMcs}ixJMd&N3W+UbyikY9O9a9j|HBO0vk;Oo&QaZIDxpcF2U>Ye>MY%=leQ6|NdO4{{?uBEkvW=}0v}RyzKZs0EZIM?gr? zQ%(`#^C=2qtBSm^DTj2Ae=+tpho1;NH<`S-BjRKoc0K^{rZuUX&_j@O=GgNoJS+8b=4xmZfR7=FjLVOBP7 zkZ*akzp9dPE&g|O};>Enw!PNL^dy$CbupN*?R$Q-Of9uBT3)ZcT3doxLXD- zw@3*8*t1x7M;K{+bT@r>ODf&}g@saD@@wMmBpZ-2g0Trk&$-eZrWs-Acguu%BSG*$ z>pETmaUE+4oM@8Z80%!I(zBJz&BtV7D2HA$31ykYJDPR&#xY$C+p1DDDq&W{?yBLvUHz6_HJ!$s zh}Y&E(uXQ6VanFHM&zpMb4P=SHEMHv+}Ca~7CZC-N6>4khaI5`;)?K?NKJAV#E?!= z49cOxWeoRM+}*ZU2s+*U+|chrjbBLhohK?9kn;5 zty;CN>YhreLv+FP-*|oemLd}*{?^leEz6o^YLRz0)BU8SW5_Wf#DN%Q&up`FuN2jh zC&^TdHbc5kj*WY?$_lhaR`tLnxKiO>re?aq@l|^{`!U26^N~u{DE=?naUi;RQ5wUC zCsQ#{5bJ*yAw*x)9uiVqj!3>+8cC&09Cr*YB8`{7?&ds|b2lzSw5n#lC~rCXK&z-; z=Pa9uFWeoNu3WID!qM^mNn|>A>b6)PA*176cn@2H<_J;xx9HDhnq0A_j2w4xf(=|c z5qaKLQmYijg~`k?65(ZAE>sCdhjEhHFf#+Oi`2qX%`sM!*om@2(f%59gWjyGAt>mtq=;%m`GRdMSXuwCnKAjksyXXAYG|FJ)-*_KKl#<`S2bMWiW|xVWt!aK^k>X51%JO zE&W-NqwTjje8x|Jm>#7(2`v(32in~J;ETTp9pIcno7*3H@AshjX&$eMM9d&NXt!!+ zBCo|D)2%UwtfJ|5H7%F6rDq~u_(v=JNK@FG%jy7gD8c}YPWH49F*#QtnXOu9y?zfvLlCtNe-dc?nPW1AB<(I*s;jIn!0Vb$$`pj&k50%L>f~!#N|b086-Mv5v3my z>(%aEa!ss<;@mZ7oiHS^R2xslL1dk^JXm2gT;GY+fyuMKw_PzDiZ2Lb(=*_PYfTMtLAc>;W zC5u-Z%Gaa=boH9ggmB)cu9pg5;L3~6)|YW!tC3n3{ACqo=7?7G&Q8Vn1J<2MwdPB& zzK@LSj=yAnXJOc+bAxC!l{?SAY@8-WPuCYo^huT_<#o?w1T*;uHjL6$kv9k7>-ZXU znU9O>nO9_Ib|GTw0~vvgMMA;uQsgV&KiW3yI*m@(bwM5u6>Yp;;a{RQG{g`6R3$|a z_ArMLSl9B^+3Dlx8M@up*Br0 zJAHoLxYZLjp;#XN5R8#yWk%zAG3ePz+t}biE>2-jvlES+reJhF0;*0^ z3%#=iPZk$EVbCy*DxlGbQP;1UP-RQ~RackgiZ6?lD9p12Q9qB6dVJlUYQ14x$GY2^ zZ3A8!m;?L}WT;lMHBG;gzZaxe^xXD(`J&H;uB4isgT%qoNY@=m&Jf`z^$dRK5HpZ)E$l{zC} zq)?I=@haz4E8Lb#b&_=v($>BQG!uYS@iMu-_%6Quc0C*>vx}YRiz&#g`OGKOc%_F~ zFbQm8upySAj8z+x1qM?Cx;`*YDrpi4v@MqHF%tV$U6!g4VtrOFV!XZ#HIc>12rD?d z<}j>Jzxebt`kDgLF#jXPn2TdvqAhOz5-quA?&YO<*A0mZ!Hf$+8=>nNCD|Z%ZWXU_-|d2G52KUERUqHkePtTs z!;KwZwgEnYX-!IV)cOcQU4w||+WXzeLl#+y$T%Sk+2PO0V575<>Fhj|Mr->VWM|?0 zV{IA7QXP#OPHE3OM|mpa=&MgKr>@E>tzvH59i!~Wna|5)j>n-~SqvVY6tGjWWM28k z2+mL}`}dUgVUy!)A{WYtw(ZCIZxb!962Alv3zHx#8h2Q%@7iyKNrhsnJXio1zRQ^4mOQ3T)eNL z;GXoZ=b0&0-P)B&Ay8KJH-Gasy!AmmR!}r;W8joqbV~%7FCqh5YoQz+Y5Y7m@&iB<722x@9D$S-}IW zXI)XUu?Rm`u#mFV=|q)G;JD9Q-8ja=d_;<%3L3ybijG3*`4)xl4WsWsEQz&YlY`Je z>MYq8bw>ZixsJIsjtHK|rCuylBY$W>%hO0(9dG_a(OEgquCiqq3w22|M7K+Sca)02y|-1c=T%VCKbM* z5_EmyLpG@4X}n4a6o{HKWlkaSkxwmmBqe)bvtGrz5l1^*ZGq|AW+aJUsLMVn%M`Pg z#u=dwL&b#8G^e-iyrDCABOcR!D;+a~i7 ztPo;}@QDdf!W~(nd?TmqN6plL%Gk&9vB}WgD-$bUyd|AGBEPA3+^kmwt9!0^uURpJ z7VfWJ%RkIeUVF9Zls9GGm`PjxxNZhOvYS;pVPYOrI|A0amny|q(HY99_!Js(jGJOB zZ$qCDq(FCFn#vg7+;|%bvVsy{Z5@o*UFyxx-}CWf3=y-SW1i`2qtly|l+n>(t9bOS zQ^<^mh$lNdz6-*??KU;0^fX?k(X7Z;a35E_ZO~_;YqcZ)ceX?RUn5%9@n-Bc2#uY< z0E#Eu_wyvHgo#?rhxcF_#`|LLBj)9_4*Dc~0xB<_f2$EZPjb{LKySHdX7V+mMi$f} zkl45PHT3OiV+l}?dsf2sA%4uJx^cwGf7|eRL6v~WxYa(<4Cie`SLyrUo}--E&0&W4eigVS;TZ7^YM@07iplXHW|-Iz0uU3132x8?2%LLhz(GSwSx zwL1YJJd|P3^N*m2;XoY!w$mR@^{F5lDJF7JT;(m`oc?HdIKUhohhmmS&2M%T9Y!DG z{i|w(7lw!0Qnqo|wIC+8AIi6ho7iS3Paf>Q=|CPF<2ar)hjHH;#e-vK5W~AshcdxM z!CuZmYuwX)+8DR@5gSsLknJ(FMNgPe3sb_<7Jc%b==NIA5Z^?bj?d?LD+?0#Tr7lN zhHN~psW51(=0N=o03SXkL&3zt^kKJB`4&{da<%7vBZ!Co= z-9+!&mitc6`sTR)mebw#ohv#|C%4FU#iI>OytU|w_LHQs4AeA~ZNlGg;A>SCk6SAi z3F|&;o+MVfSVV911(-cxZ@e}dlAVei%gts~Z`h8TZ)uHO78xw2=n)8emAQnN3yJR` zc_Suq6W-B51FlfZuRWqyd}pczKZo-J${-*$@9*z$%@tc@#30R$p{qu+ zSNSdHYlvfOO~P}&l;-gds7+EKjggdu=IVQwN9H&>PbMWfWN4EfBSJ^waul#RNiN9A zR2QqJRLoCljTOi&0EYtdWhF{{U+G(}We%wTb~qFUBwpK?=HXs$TiA0SCwO+|F39CDv7X#t-oB) z5zpEx5PtpgtLTX$iTV=G5CY(Z*Kjiq%`C!zARbvtJ^=e z*BL_}19GY>qXoGl=-aM%Z6)FQlA6-Pyp^=Eyjlguxcf&a0-J3MeQh|R z!1J}YgXt%438S>A@&h7UF98x!x#h~zT+fHSr0ZLuDBEeFx=2w2rdmh%Lnd-I&bk0f zk6+Z4apm?`kzFc9siG;dOVuV{9d&bEmYDf*7rpW^s5t>hrN6h{F0j&MTd=A5TCtP@ zqwM=QN=+&Fp#`JthEQT6Okvp%9hq#DcH0pER%$lmCb%-_J#RoQ|5hVa#j3$>s*n<& zoko~{*LdCEkmtQCxh`e!QZ;rj>M-%BAEBk-O%0XJKiY8{W9QrjxGW@pqk8O?8^{S9 zz6ifML$4l@TlK#>d*aF??y+qJ6ma|@9b+C4p{-jsuhxjHF>Ikh*Of`M=t|VFgzQbsq zsseV$<9i;=o5xMw^`?-yJvS5wc+$QN#xP6#XM^_KVT@`&1(m+!mR^}e3mDsrR-G~> zP?%RV8Q>9J*Q|q8=#Ynfh4?bzye=_$Op?LB6}(YL;QFjsE{0N353zkHPRk~kvX$6J z2PN&;sT@{iFeWqkCCrQs^!fM`fLX#D&>?bc_-S8J<`wKT5ETZ40A2 zq=`+dLTVp9ux@8A$CvaoU#oRk6RZnslM1flRH{Z5=skg7^CG8Y8u`GlklZVr+6#50 z*Xkg!iZl(vU;~)ey>j+Z)YMu`F;X9wJ_xi`zsXbqtcHXDXNp)t8fvIMJn>W0GEJ_w;Sv>jUZCtk~(M`Si}+d%eE9-*jjzf2?fIWmZ2T6(ul zKG>4f++c(wkr&zKbV9teF&3a{76nQoEV%iv-|>y=fhh6GI;9*fo883BA8*mCYd&|E zTHcgsYYz<4-HygxRdrt9t*-MVX%kEF5fvQ7*Fbmic|4mDDx7XoodeARs|Uuei_4bg z3}3Fp049A&r~=7PYIHwakNJn_oGp_!D(iC|Iz^+F<~_=^Rv~o;T7S`)(i^li-h|&8_-AV`y)e5$n9({xJ=$E0Tsl&dc*TZdJBW!I$r_!MgM-_19*Mc8 z5stsZnFAlv-l1e_b|x$}4|!ZIF4HU{hTc3!rw9D!nnH)U0H#6zJMY}Wu5_%%Oa-ZFybt=!=@+HD2@zf7W&aN*Iiju~vmi zo1B+^K#auBsO8aF0|mYGFP0L*qOUkR7=}w|bBQ)XU;gNiE|!00{6~K@uxhBjkCy43 zOJAm_YeK=x)D&!DYTB%pX}*XjFcwVWV%6r%-zV>GMD)gLlZCClXmH-0f#y{^hB)Ht z4c{)_o-N9GoToqVNhOewn&PDxmR8OQa4YmMn=f z-rQUEfkMii?PnjnM`SY8B~RQf#wc+xLXiz))ZX%iE7z zgH9Cvg9N;|%$(}FWr2?3q%{QcBd z4dJ9o4ay{q^vkXW93p{KpI6&tGH$gkZ@fJ@KIS2!Q}lYE&f z4*0&5wj+h@C_Yy9V%k-C9v*@m}w<_vfPI%z8N|L5-QVkF7Z_8`s7@|jNv5C{n&a}ip3 zH!}5Ac2{Qob@h4;HQn>K+uhTin%SP!?&>2lGpaJWA~SL$GOMOqD)jLqB#^)o5<-@3 zY=L~^3j{*GvMer;jbvK_S+bA-!4)zVZ~+$x%Qu|&=bZDN6DNMMx@TrV`o5j6$cPgs zPMkRB{dwN!>8e@zXWs8sv!aDz!|X4l46!*)z|o$@I^zj>FIlt=>l@_mcct`f^1faXLPLy0$8nk-Bqh)sX2miAK`*x z-E{rCur0xhaW2wXjjtY@KZrgBaSXWq7tW(qqQbNiLXoW7>Xw>fC{7uwntRHGF-M_X{>|WAxL49MP{*@U4|7m#^(h%3 zPtEWGxgj0-w4Zfa%cn>+j2`Lw@@<&+A$RWc{5I?R@0I!3zSM-Q$c~|;M+m|uZxt& z3!+y}bW<&dtAOWFT$t6C!q#5wk!WRb29LlzaCC@(^?8D-oBMj(XtBIZ)He)-)Rq7B z;*P!`R|~qS-Acw&9>4EP+6y+#dH^DL)nUDt=&WlsASr+kW^=Rv z_d1jS9U}r(Lci|6qgeYU8t(&n>gkDBsI5HRKqY*w;$N1^fpeM+Lq-P_%C!~rmnH5* zZcfIl4QR^A90E@#sfFDAsSorTANhfOJO~5i2lYSu^2?8-mt{dfIo<+Xiw%|0K-mDG z0J=DsKz*#y{|EDIb{y5<}!fsT-S^%|U z>EF#V+yp>yi$JJX#QqFc#=~3_irJpNPLtJWsZ5hpEq{qJFZ9Y>bam_^{g%6Sxhz5i$2m{!DSXoh*6e@?c;&7 zzV5la(x=C$+;uP{r>el*y)dfPL&k#w$SN(lioPboABI+L(;8nPo!K_UxA zTR33;IvWiC9ONCayfjy7^qM}XgJY*hWjcjG@Q!`bSJk`2zcBk)Lx1uD$U$z30*b%K zW2Zxyeb{x3_@a7u=!f>+$k7?^5B*Kh-2#7MTXn2yUK) zH$naU-nWJyjkh8C91JiIkI-1T`^=H5s%Z-9vK{u}Og+Eao4-WN56AYXOQtX*QXUYH z4f-E?hS|~v+tB`6w+!)S+A3_nNe50{_qcA12g=iC$@X&L1@zo*&H{{|)n>a~`vE)m zGCT#d<<6BYX1Fr~K@+@vSSYjw;%#JBAbSC&8V&cF1y?Qp2vXz|4+>L~9tv+V!4tmUc()%+k z7~)>7e11~4&2O05#VNB4aFZajUu#g{Uc7$j{1ZmIF>Q*G7f^<>VFwe+2*%Qc1Td_J zaY}!GWE5UpUO;Cpy*Ec7%!EIWGl8p@VcVG(VZv^;`4p7x=CddsPvoTxX0QOO9?+!A z;&NNwrbUcN()8+eYT@SCN{wh&c0!*7bM@y1YRb3Wvn-YX!eD(JHfeyM)=afe@vmrr zjjc2_ZiBX>xw{eRRE@n(L|d?snx9s7BoL4WI zbWNa3zRJ!F2_QYnRiqq=>>9QS6E5K&f{-RP=So`ODO6neQ)H)!aHDoMxE0EUM3-tx zsC_VD{g!`(^Rt>QiXv|*O-A#S&Z<|xeWtpp7I5|1g1lk$1p>T(p$0#_RW{fwzCE9% zzMMr4h!Jqj7^t?hG$XwbKz`gv@-W#;0KFB+`Oy8266IiolPcI2;5cm14$kdtGF_Ew z*;tDAT}w-EwsXv`)2ZoPXQjFSo?)}7k|Z**_poLSU&$+y9&bRdN9Xj@nI8KyM&=_9 z>a$PJ&(4&Ow?#Knie(XE$*R@RA__N;&ftK1i~xe%0F@sa}X$K!ajz#qPNMwKnD z%fY|l>(V_u9wU8bDw!@{!hz@scLTg9Z0>jr)BoRlzm7k2Ft7$eQxfpbJ_kD}lt0Q- zB<7TB&q-*mZ5M%KDf zcYJ8%L-S;s1{XqpR{R}hXCV7jE#Q8Ds7qG2fk&rDGh6%OmdHGoDHXragL_OLJVbgf zs<#Nv*zL%eHtzP0**e-vFr}ZCOR?wAW2#y%(;~{(@P~TfGF<}Yjj}~;E>C@#g<&({ z!mCiNl}0DQFaYQoaK%`vkbpGlhU?U1qL;(X31Pv_tQMjJNj^&;0KLCYL}dRWEyx%` za)P%!QfD7OsSBt$^1z)CI7o>I<(3w~8moO&!{YSE21qF?Z`PAi%bp`q)2>?AAXOu1 zZujG!sx)u&aAD#+mnPE5^+q~TU?>KBe0*8lf>7up$<#`-yfqi>;V~^?#~iv%vfDbd z$30mkPV!QMUp*_niJaEm?8R!xO^bNrWs!T~05}5QJG?^yNz#|P@q{dAz`v*p#AAJ1 zQ2yfTP3qBI;IY0f;2s?WX7#xKF8^c5@gm@t)_y{RMZJbklba;VI;YoblB75TZ|#!p z8cN>WsB_g@RExJ-c&I9tE4ICS5ndzCbrvSComx~~?dMIvxOsY6rVPHgNT>a~`7v`> zeGmOyQmm$5Kd}`5d+21c-l3CckQVqJI{A9L%f#HS((k2@`7V9TzmFN2Y%h0s*;qCH zJ@ist*1wnM>3WkAKi_xW(SlHV{W{8W2;W0DSH*SzZfcr~@1dW{=jh+hr|h77*ZsWv zcmFY;=I?WsC(%|=!0vIp$U0$|4}HL@?SWxPw|ZNHgTpl(>JbIiw=c?_%QU=8DZoDl zS}J9i+!j})Ttr4SM#A*?=hb-SEGbX5loesxdy$806yI~ay)l=Ix;fI(yLCIuEwcwJCrR{j4?0$9TMk`7!d7fk28bTrwy zZ8A&d=@P>87}OOtshA3RBB34ZC`xB2QE~v7t3TdG{tccwXbvc0f^l0fc~_6 zf~6f)QE?_Zut$+ywRt`PRw&b*Pt`%y*$tfW>KA*_SLYZ#`Pm0G2|vS&)2!sz4yfIg z*|5E}nZ*@wB$C1JuuJLGtVjOTr`=uDlHMh&!a$rmticuxPYR{m${x8ITm5X!CkjDh z!c?5#R)B+wGLXXM^z1+gTN85GWu5~Ax=@b(lA4i5&aI(LD zs^h_?iKe)%tRt_HoCIUG*}A&PAX=0d%$Tl6EY&2mHK|-?48$iHOq?xnsL?r;vNl=! zQhnSsHjBitia->06{bTm3#bOl^0|_-HUWszJS_or=%M#3D|fJRli-A-37*yvBnM6# z_09;+?8^ft>dz!n{@GP=t#+4HHUrkRt1^2NH&!;AoI#aZL=z^s5IKu)!_%eLAYUv3 zO#NRm`(^j6bTT>~FwfTi`h#%w#mpf&{g&!3WL`wzf$ad^M&lDK*luLLe^;W8 z_4jcZfDnuN3q!>1rf5Ym2A#2IbVhE}lL0ZFmV6vgeTS(6=~hGcK*izjq7hP@t(*eY zCN!(dCf)#|y;%UVL!){7bzEYP!(DF$ANTFQJU`s^Y=czajQ$OGUbhlND(}#HzN&BM z#p!Ls{;0X*+(LI{&vi4j*`7=bj`IP=rqz`#5D*`2u>b{kwbZYuJSaNZKbka85+)sJ zsuc3U(EvFso2#{7jh^{?G!up?^Rn=8Qc> zFjAJxN?=f^`cN`?*jEkXH+}K6p=$DIK1n16T)kJN#z_0AcznFSKUxwGHsnz@w>gW^ z_lfZRUp3wnhd;p395mNCxNd=3q7JmfG<}`UHenPl^C?7wPawZDkDe5(m0H7ZySbQl zWw#Lbq8?iIh3=aH3qzv{2>u8gcbZ*Wf;Ky3ZAy~8wnW=?&20tUi?=I0Bb~>@PP;1j z5~3RWhHA%J=}`V{f}}0%W>DLQuA%FBRA5HWt`{$g@+Q3m>c%q)jz-TizyuT*B$cHB zQVDe6BKtimwE|%?!GR=AubifEN{kvh6ql;w zfY9Sqo7s$lRKhV<&zBX3ib1So&>Mh)ic5|8+cXLu>{ZYikOU1A8j#XJy9qKr9is`N zjVKs6v*Luo!q8*Y6b$pa%$A_}aIsy@G?I)0zZOhcZnKKV4u`#%fmNY)7-jG30LyBX z*cytMw}tD+ZiuyrGWai zDi8S|^fbE?5s54H%87>_134q`}awNyJSMZ z7Xir)-H>wX3iS?QFt{}U(PJgx7fF^Qo8GOOnoGTsH8D2Y+7opQhk+=D)HI?GpV)hS z+ll6Kqjs?E-X5%wT<4;mJu}jsNkm~?2OUp`)T(nEYb_E-sok!MSAY>ux9{{MVdY&O8=Z|?W( z`FZ0F&32&+^qu{|O-508?xBa&KUGK6I(%gFi3Spd$2Ai|c~ucC+UIfg{Za#Z$7}rW zXp!7(7DcJn;IzuKG&OIU?hI9Fl`mJ0uLg!lUq2{vEU^1wyA)YSTe5>p((rouwP)?tq9HFn7`3d=55V zauq!7vbpwx&eUQ5nWOuVkW$CeJX*N5>(OJjs)xX?AcyOHq=h z>_^hF%;s~Xkj{V#1RcE^nb#sMODNn^7GhFX#Y!Y@Ziz^22j4?4yWGnV(;l(ZG6`H0 z@7^yRO^Pl}FkPIh*0Ko zzXAX#y-BC=#fYnhU zf$DdVeRa?wVLcG^PCXt^0bCI~1#D7n)RMr&36sQcEL*0Pyov?g<}&mR*DAx?%Eu99 zw!qBl>;T=~V8+f!WN_)~iNV5c7wKMqi{i(Jz4^=nMQLE3TF8xJo~W z|FLO?N<$N)zqyeigKLoyd!@SmO#T1oUp_M{#?b_6ZTF(dA%CTNYPWD&L*VV*AK{Kb zN+}N`R|7?he)}>i!j%w;C=NxjSqdH;$5EaUYlzk|(6Zm8I_U&Ylog>iq#3P=_(xIx z)>M$M6J7TiqD8(ga^=Z1Y=L2RWNP;|SC%szdI*O3bsErIw&&nO_*nVDj0;D*hL<#@^CXqDaoC#ik~FM!16?q6uNN;*r$8?lNm1h0GbV4)NX zJ&{RVG9v)i0u6m;h%YQlt?Vz?xFWtCg6m%qIo|;7jd+3c8`U@BB$j?)bOAyl4fs6y z(fi9w{a&Nm5@Y}u4p2qNlK`GwhmdLwI+7&7QliiFFla)Oq-LCG|CiVjd&q|T@b0gF z(3T7ZU!9%PPT{LiQb6rwN7|HHW|s*zh&KX(XR=H19N*}xl-5#kzs zrqv0)EQ{@$CSU{FD#9ZTiXH$f z2%^58tBDHg05QV4$lYJ5&p27HAuQWJ^a~ z968GX7bLXBO`QmEr|*vsA1l+OoI=--?~Jpe7wTA8NS7FgTPK;x@rCj) zEg3|RWL#oJf`yHU(3neB16~%?Tt!gbx{8OCIs$5&Df1JKsB3FjyULZpH0qdscg9zo zY|#Fg{iV80wH(c?xr5nsHg?qeOmj`-yhxSFm6Yi4NwhX!RQcMmHT@E>UKlu4E|lVh3-=JC<-NaOLa$Rv!Ox78wo%SeCT zk_pS;^P?X}5U!!gAAh3$Jcp$Mu8YZ#mZEQL z<1>_!(*+&Mo*ilm{W!Cxin_iiJg>4=n(-olZ(kJ1ah{^CVpoMm5aVCF&3U>323RP% zkanIMDf(Ky*k8tIj;j;*TI(!8hvPU>E+79Fj63ux>}O zvk%i8QGXv}s#WI$I~QfO311d09;^)V=9*ppokt&hO%4CiDWpB7*bd52;_eK10laiu ziV98)oN7miZxe&eRkjhTXavEby{$@SSD=p8W5v=Tl#*8nlqX}fHuQ1HE#v};A z&o6)r90M)%Fin602RkkrgPfd0K0b7Yi0>usYK;0a9S zu#sU?brgmg3He$)5<3KyTKvNDS}c2P$r`p@Ekc`5Nv4a0n!3^a zhSWDPTi;AgHH=_F&Z=SqE6fGL3zu8+PyYMJ^v1U4ZV}k(WNtCYR=%>+mG6F^v zwMH}RJ$N5Tv8&9y98Z~V&0ZZnd5Ud4dpUgIkabjM-o()Ez-ewsl)XS0p}c9>3e@Hd z2ci8z4zV0OZ3m{}kVu9Zh~{y(^$AW003OcH&q_PBok}3)j%{ALZ&Lp7?!RlnA6Y;o zW(C6OXmxZ6@H$$T-5l@BkIy2)2>o0SZO)d}JAXu3 zD;W)3Gj8}DJu&a95E^`_>kGe?2WBei&()0v=X9U%=~+P$?jhH3ew&Z_rMl1HOT5i@ z`lNS%wk{7NpspdIm?R_<(?S2zE)k^(xQaEED0=y!pq@%o$bB#y(pYh!FC5Bm_*kA^ zpsd&BaA*2M-AB(F(dX-QmG2j?7P+HzuI*I-g`ja10N?6cVF*MhZETd0TU`M44j@(Y z#;n7D$}U#PBFzADIJ+_#9W5a9FnYZOZY=c=oQMSOqB%corFK!Td89jECrse4rq_$Q zS>*g$v@FM`g>u|(`I7)+>n~HCjJ7Qs<>D7bWrDSAyP1o+tt)H0I!3rTY)bC|lA~iv ztEk-O2+ZW|&w%1&e1_7z({zzx@ZIE7AB<1XmN^yK;_*quCkAK%B(k(&K*tB#sy3!~ zh;Q{OlZvqd~lgcqN&GkaC$hh)IfT8=qZ` zXGmx`&0v3x;-^nX&!0aZ!Nw^(*wc}6JV%rLvHIdL4e|GpZlO)q=*SXH7#DFA`x@#K&r8YN0i~XX1QA*@Szx$O-p!3(R6terAT%Z zciU3ZPAfts)`G#bWj*VpgsHaRyH(M4nJ3!~2lt^ey|Jzzf0V?W79USZz^?KyjpsLx zm2R~K%+I&-Yq|0e-WU#x;({ujZOe|9E+mnGZRrAZxS%Kws0=7>*V!d73+@_|NxKEe)*x)ZE-fd4Mi&ay(F!RkSg^B#Q1EO~WWqwy!G9b)3>6cD zt&|HykW51Okv0Q`Vi2(YW0XIL&eo^s+mz1D4fH3?sTKh0fxGj*rQ|fR47`?vH1N*G zF?woj67$G0(a$Ebz|0=Tp{@7zXN+dmGa!%oHFOO1^`^yUQ!JwiYV9Q#ovZKN4}Wlv zOrNx~VOw`i8vLS1q`((2_U*@rOtX~f|kY12?OkSPYD;+{lfdPED9c|bpxq!E*)7WLU!$-i20 zuDP+b?7^Oci{!|NFllR#ydLO!&(4ZdxZk9ICpj+uef096e=jMb{ats`irV=Rnow6+ z^&3J(IGgU%Q|Bfo3Fb}3j(XtDdp_)@#`1*qK_(~`tiuOd(Fmv)s)d)#sY#LJ6Yf@y zPXXL}8Vzz{I9aVOdJo+fE||sYPB^Qfj{ik#4Zr^gcmElVyDJt@8+k`8ppJWbe)hGt zg1F$`8ybI(+|Q$ws^NZ-a3g||n-G_E&2-hZ36ouXd( z&i?lMwTS%-KlrR;N6Cg_?DY>I5RpIE@nknZT;tn+pf=XQczimvAr`xJ@T;j6pz4}S zUc1Hbd>=LkTY}27bv6OgUw+jnFC^h2$Cz_9!ZV7fI-;(4UCU2^<>xd{fED=3VD+bnu3;gik*nGn*|QS7 zkqYUX0+b8EV!_)aPolvwpxqh>A==0wc4C1jSoF{9n&&+G#1IC5cwiYJKKOyDI2T@! za_%s!L&fIW1)JHhtf~0KIw_|*j7HMt{4C>JjOFE&FIa|3L-`da+A~PL$y4`rn~JzO2LET^kIh`F zt0{!*C8{4lG{%Bg|E5-RR>4$92$i>@3c!Xs(8#}|le;2*EdrcA;1+!|4ERkRW;xKc73Hkw#U)?mt@1DU?DLGjM`;av56wyBk;0Hc>NH{gr{Nxni$P~SW054!P2Z~}9Q zDcg~%!Ps`}aS!upso&mgXICi%wWA*^vvHe4d7aupwDoP`?#kkS)5i4upMP`oG7<5h*ks4FK030cF=oe zYaPY!h>WUTONX{B;Awb8#vK~lgZNoItYZ>6zZLR)UOjvk{mSy={YLHXzcRQKIur|O zodYxu^)q6Zt8CK+93vmqF4Bg^YXPFF&NByGiU8kL1H%<~6(irL0JrBL==HqtSJMs+ zpwI6^b{~v{l00zTRSoHBPBAa%)GPyTZ_4J7USH}oK5&D`cudInw9=>6o38r>#rYt{q@)C zeG?B=^_YKruv8m$#(xZdLiC$Jc9M$Lpas)_KDV6;znKQVn*kq*^5vBJ`|tI|o||N2 z7l31(&CHUiz41ybn|NYkb3(LqG}sPZ$2PcXsE1f>qr!4okSwgPoJ2u!?N}wVE6j)uueme z_IOLEt-C*2+t7Rh#YVNat~b<2%o2c^qvy{@PoIWZ&vqB645q3ZRNt6jBew(_3GG)R z@3HsJh2ZiCRalPS)n?Uzah9O)w_{mtea(0O)$fHFQtjTum`y?F2`bCil4o%Z;4%1s zlFeFe9u+(M2;ZV%8lRr-Th3YpJ`%>$`OEOJBawDbj6d>4oweftu_y`Ply`Y1Job5(cgXtypMb#`gouS@l>NB8J>w;mnu zJf-O65!IVHtz`{4*{wq-J9nscEGM=jk9Ofqv5MMdKF*G@S zrx+6<4{M2#36Q|zhpGvB#}m=p$^n=STyUAwEASC1&tmgD_9qVfGV!lXCa{zgZ>YS@ z7NzqE9YgPqxOc~LX>XFN+X`yvHl5#Td3!X%fm1 za`o;Dhi`t^tdAY+hd!y^1^#7+KIpcbUU)Ls!A|fw^*+!KJ9L3t(mgP-?VaSRg?u)- z6SdH1UoL$=&SA5s>Z7{rFB+R{7N|Zd+|n-hLMp$mT7=p*sXb zc*av2{Y>3NPxZiHS|?Bx!0#SQF2?-d`R>Kh+`Dc}w$%K?)wnJetDn>ti=FK61C1FJ zMD^8(#R-;JC0G0driDb;iu-M3JOfjWc`qs2fA#}80YBs9f(Nd(o_*=F72)$>bpn?m z(5hGsO-zYKs98T3<13g%z<$+Iocb)2lt<-OP6c0_RIf7&*-0dg& zO!xwnOOEJ(OZ8!^(bI$i6j9}lwDacKzNp7|SPlJ8*3tGdUud;15n<5gG+RyeC$*1D zXHUe})mAH@&4Q26SVhC2iSu2AhY@rHewMe=W0xRNiM;eT61_#iOb%cNq+=Oe|D*dB z@87pz-xP2`k)PDXoA~J0si9Dl_jVY@yrfFnN~{3U1;vXami;z3{(x}h+Tw^EC;RALs;14!m3OK^KP#jW~=@2$$t!{M3T zEgUnfly%&c^8O;3g(5=y9ybATcasz+L3dPDvVIF2_J_w0jt(DDKxyOh0MpGK0jr6wJQ+kABb+ylV&KDChNfw14uhGMbI`sI<$=IE+L^8bQkO zc$YAsi^y;GWf~)egBz4Xj7@Y9f`hea(Rr%A2DRv%ZwcZLZ&TzyLzM;INAxRRSbh`z z%HnzWUm`EMKSn{r6B%7|BaI&FY~54AvbA)931R3nZP;;20Ji2iq;V%ltue^{J=9lP zT7%YJ>S$$aKWB?F1K&EI72iPNQCpz0e^2>BWlPV~_D*s*v$c=PO30OkxWV}O$!>v6 z#59`|^tbH`*R3V-QBuwds5)IG(fH(Gd=j?=I611%;Z0}l5g@K$vZP)$G66p219ac- z{-5{WDMstvp|XCNERzMGvD98(C0E&=`pVyIud@0!_AP+20((%IGNz8Be%KK2M|L|B zai;O32d4)p0*9p}cs^?zSfq!JlEul4kjU|U!Bp;6)rhE)V5-0IUN0_#IyJc$5&{~T z1Hz)(BA6!Fg_lM&Ust`lv4KZy6H>7;+d9~N9Xd2&qDpk4E|62dogvKKxEj=EDD;6l z8uNLv)C`uH2P;Mrq5!DsXLx!v$D@hWkH+6j$!>zd$!+jeFrR9^Rjf&YeiG+O5JK z1J6Z1gGN`)BL^3!3Fw+tGqK9a*iUqsdRGuj@CwyrlE&8}5d?g7_716mWDGK5r?RYc zfl0?R1`EL8RE>$2uV#r7L)PkYxagYR6f)C|$D`9>v==c=9T^38e;#Ku)sWZHbB?H( z@YHC<@0+2+RkPm`Is;~A3inM@<&UkHzOL`B;QCczggV^YkHcdD?`KD*e)0PPeMKB3&PAMc%M2E$*PfwgdUKI zNSYhzM@ka75Yr!s_m#@QAZ)tT)C$VFQ>I4^E*tZ?BXfc^gs_}A%GR5yhXs_v@ zO$m^t+_zOpm{O-S?4n@N%!V937i-jj@Q|n<1^4^yHpxj+g(KG2myxqSCQuY{>Fq1v zllpZWmE>Q-e$`?>9;!g!&)w{sZb)an{T**;7Z*$6QW<3%2y>~)jXzPyk>+==Dqp`$ zLw35IE0Mk(f1_{UN*qrntGS588OTR-I2i&bVq!oRUMmRbTt|&evLo5@^Y`1A2WN^) zDn1JV=(kb?gqMPZr-XMv0E*!K(R5RYnP7paM+zSSJ0b>lF*CWAKseaoPqqLg!Af4IV!>tNa>e*pnJj&vFD*BCbko2sRf z%*cYCQMN`#NJFU&S{c?Cm@~u&Z8k4Na0pN=O2{03gMVN^ zHPxn*F~%njT2;jCDoQtPM66&vzHcKs!XCB&Yjt^5TZsp2B$c%ObWWB*&w;=AG*3E$s&OIR>A8>$8|3E*;+!y-F9L;PFrD=Ad3uqu4-)wD z8=?m0Gj~=U%NJ$!g=^|;7z^D$P~8IyeYRcmX2|XtPR>7plhfhX6FD5ZO}%)3Clt2B z8Y+ay1}-wBrbS0Ut8LgptDnZ>)i6wCLUVjk*H?aK30X|I8$u|L5!sI~4Q2()frwno zB^N8fREigLDo!vy74%!8PcgKuPZed&{cFL+ML3($VR|k?9*v@d^s^Kl#3QkGnlz?= z4${H=;o)u72k99Ai0J&^-s@L?e_xpXF1pc;%c0ehJjUYt@vg=9Hg3=(X@420ZZxS7 zbj=-N5tF*6>2iZgOuRO1vb3K5GjBN7FOy%PxB1*enDICXQ+ah&9foV$|FpAbJq@H> zpFfWtMo*ur|3M8cy>VGdk39;h8?kU_bw|l+1`c7QPk>DJq1a^%|8q**U)~#h(Yq+M z#{0|Vp1vYIO+dTVHwb4kCryyOc$qE>l)}~5E+MjraD|qpro&rz94KdXIP3JuhK*bNEP2qx}wUgtsVJ{daIu$%1sdh9JMTQ$rrX ziAL=2<7fS<(`OfXBfj)WvQqCx2CFzo#kJna#;CWsvSYZPNHqZ+^4(zHsfJl#J(AgP zw;4M^YNDt<76kr~wd?5|J`;d3R#(}wP#*xCs@l6$o|=yD-@Dj85ciaZ_{$~*IT&a| z#FEF+ueX!^@nQ7&#YMWRz?XQYOyp$(Yu7wAKR-?N&mXPkFqKO4(<|kYL|+i6Vd-eD z?NXI*tM6}}SJNQqY&DbSRZ$ZAIbaQz-~`9$ncV$@PA1D8wj{#`Q>U?+9C)1O#5-w8 z%~ez5iNj-#i|E<&hcBNy3~wfu`&fAx>!r5!4Nkg=X0?u_4seaMGt^2*dK0f^%i{WW zYipUjDN3MvFc)8_x36ZzHE?gK)ip7+ikfT)Uug;qMinL^Qf1eaSC)*(eHLRr%=DS< ztF=}GbB5mSyIil$X$;ZP%P+DB8m=9?l~l@joSZ`4>ft-0=e+ydXugRrstFCTYWf5_ z7MI@oT*ONznswYL^gL^&b1ie@6JAH;NmqO4SpS>i36!vn7l&odyrF@tg6iV9>c>eQ9X%mmF|5hso=^Xlv!}zkk11 z0Q+OrpC`)g<1k9!0Jgs-3b0bR9EB565?MDs0o5o?Gzuhp@GFsZcGbHdIq}I2rTtsEMpA14Pb{5<5!oq2u@Em z&yX(jvQ*6u+qEa0C>Q%-(?DDVT{fv5f6y-~@8VUrcI5l$H7+=5X-fv;A()E|Wo34IC{}M08nD+1 z)b6j94NLW^u@#4k!V!C73Dh;f_&{7?Y4ap#mGm0IzG_;(-k z&Ukkx|4)>z4E1l1e=cV^cpd6{U#PD&F%}BcG{7x^rd*@>@{H(QL{TwfHcC5Bb^wsiYs=jgH#Q>Fc1Y6kG z%WQU7m86X2eNftJgX8zmf6WqK#RHAX>^pDum}Kj2o6a6lN{*Xh3;?Jlb=->-m3rO^Pp;kR?(b8`DAyQA z8|O#HD!s{R^T&@|+dBC48@1%pMHsZ-d@b4MHW^X#ehuspxeSVJP-J_Pah2EMX5j~B zKK6q$mqmWjgd(?zif(ai%Wd6U2~YRhLGTPGtoo(6N=cmoodBYbs_N+{FZW8&;Ux-0 zn#+7u-s4BnA4K+ljt*e`IXW@WX&4!+<>CX+?Y(Km4D>+2)?rHX!|2NGEYRmV1q=twCtNxK7h#piA*uOMH9BqM;Gh8D5xGH{ZN$hGSVdsiasQjvcoZ*} zHS<;~xadtlI7`jCdzGiktrNE{leZouSL`*>6li+fLQyK^3(WW|4V#~3kpCp*<Ut(4N7wA{y}E4&j+hJH96W(raID9lJfIyv|PNgb)cMJitNwE!V#ToWY@Y( z)N;3Z6Ahk!`bJnUP!o{BJT@=J1i8rov8yoO0Rq;1$vhPE-iyxRLc1lM<;k+Bl%4aW z$P3k3t+A7qYQaPrEoF5RvkN?m6m>Fuf2#@^G0KL=yHQ0!EMF_z3vF43=1Ai_<3O&qlR~TuUKLP9469++ zF(K@mv0P%#{6R+) zwZKyP27ww0HfbHY@~}l-@&j)ao91ILnCl`FlWPFiPP3esf<%)^!08lBfu$0j1A{3X z)>SJ2Ux`$^uM8<8GeWrt9HIbsYKA>kCGn7kbjK5J+JPdor$B^EHChU(T0q zVQ25z+(&paK$4pqM8H(lvq3^vwY28QtaAVh-k@xUOKs>`_e>|5nYr~2cmJjiQ#OIM z(Db=TabrAqIa>o8St=)b0hsz)zS_2Ud) zAZUl5g$qakh6mW0#vHH<%cq{cE1elC%-BUM!~6OW|c34-0D*9GZ7I?o7_RKI^O zQ4ooyw<|k8u~d3BjapuB!bZDO9;C@eW z(EBNpZ~qw%@AnLcy`KSY_N_m~(fyv{sQ*)xeIH_S?}s?P-$NXK3lCu>SsXQqdp_97 z{T}S(cj-HMbiZeK)cYBZkG}nfIKAIPoWA=Pk=*kUsJ?vXM*z{yo{!Kt^?Nd0b|r>RZ;BY<#w9ukh2Wdiqrhqxh+_Zg)lu5*n=Hlc!>Mm2E9T! z4U<;I>aqa;D$00KA-F{bWF#4cD=_?y3b>R3m!07Ru|`$vwoFwuQi!>+#hXQHNQwDg zCI(?y#|DI@dJL{$rCFyjRr7x{Rn&~$gPA#!dO~Nql1RO^svBy{0_zn7@3K54{tx6- zHUtbHi2^@0B~j?N7n~&Wkzjo8+_d)-cpl=BUs+HXW&t2cn`{z|$11~lF?b~UwFW75 z@heQrFX-nDGYbKSBp3$QC>fwukA1n#Rw-~LI!W*kOSLsri)gkjOUyWJ)v)lcGAD-I z57P|>GU0E7C7@SfQ>;_SvYCi+G!VnW5C~*aY>diTObNc~s!n)iA*OY*8|UG*GBj_+ zM&=OP_=#bo#!-`fQ#D@_m=i)przC@XQbO>GWqGR}0G6>+B8S-s=eNyf@nnl+9$3911IMRhZ? z$vi?=H%YYX>c?-^H{R@xrqlDy^3!(7W-B93@kKny+wjfP-d zi>G+W)X^Y&X&&k(It508(_=gw_f^5%oryjx^~qrZb!Rc^rGQ!En%9JN9o=Y`#;o_F zLj!YXBKfRrSH=uN0sCuU3JQ5@-!y1mdiF*+)tn$2pB$f_#P3KKQ^Mp%(F6fhO!d}8 z#f<`%nnM{8vD$QE95z|H)3%DSV!N3aa1}HbTGWC>Z_Mn5>)maQeQaAddnJ9!)smJp z_-B?EEZGOk-O)Y~mBFv{@6_hONn-bGhBjc5sHPNv^ZH0O>L)xY&uH1qUTcDn2S1Ayn zm9sQ2sQ&TpFXME=l{L(5i$<)qleL&g5`Fd2$7fip%?wgCy7=T0F&k%>mt}eh@&-EKCjN zY5bDmSy%v;8wJR1K`_61Q$#+}>K0Nnaixh$>Wz48Bq4IQCPotOqie!tiz-Q^W1m+G4{n#*wsr+Pa%?w`WApVRHnw1soV0Rzn0eD>-2+1YTf&ak0jz5yP+#8loZ zL(+vo-TFcVcwvyx)Z;Uq97mVgw4!1G`+n`(tojFzYF3FRKq^4LPP~&L)*!FeKiMF| z)C~WRYf`7QM`+FoWY|NlJwdaF)R_;__<0zl&h#x==`S1IFU%n6$eyOeMB)Nj+E=fL z_K|vh$rZgSDx$H}3?edz_t+yzWDgze_;vx1khL>yVU|5pd+3MeMW5*xRioAWQ2*ld z>sd7RLxelGk%~qGr01jndSa^+oxqN>8Zg_|`Fh_!ROoJb3 zGlD$KTk4R+>585sN#<6RK@K*J#N;YymwYUsFXcpVWVxbxQ+yvo6KiS6V#oM(EKKL3 zd33NRE+e~=zlL2XB-$(V_`nIw7rMDmBoylHLXAQJ64n!v()N(cehSK8-P_m$;4$Fy_(kjI;nIu;>A>7xyD))C zRLnr;{`9byj397(IPb4s46DWU)T%}+flZNM01KmjoY^;9ZUJR)qo}+^#$5n!yWCmM zH$d)%jy1Vi9!k=BuBfKnkh~si3!opJ2IQx>B15ELLc}7+r_mooCu86hIe~vofac@m zbl4;*NgdHO&s-6~-24HMi&1&gXcw;rA9K@MN^k&BGS3C~SwI5ZB!-oQ3JlO-Qm#X6 z>xQ*<02p~%>>igDKDEcgawc4LapdO0Md=3d#-Qk|Bt`QWf@*2cnHRG0V%4n-f^X)Prp@9oDp-3w3rQUyEtMxOzyUr&dqXPUhBL6^1M@Su%r2 z)r{kMi&Xir8>jDdXwTwF`p01?AU{~v6Rb~MpWCkqgW4Jcq?GwPN|*q|?{W(THG7C_ zpxT-yAQgtqr$uSD5h6K|>>PS9J2Ss4ncR|WD?&?=%I~n#HSu^^pN)&bOd(b6upTiCU9GWrxG!0`)mt*cR0n1@L4Z8oT1q zMW`2sKlp>W=SyGs+aPhXtgML{{{fXNTQO;zX}vmq_k#c&TcE2$XzYGfv7*B76u7td z_l>=sSZy5n<`-!KaqdJ=-dg`fi10yxISS^lMd&#seXa?Hu^iM6YdE;z`;U-ii6twI za^^`viIyfJPxLyZDHU7v*xzNRAcysc2#mFIB8i21-LiR!lF;yiZB&e*&>GdS7)S_O z9Mi^~Hy(SjJ)t$RFVHVWS(xEQ4Pwu@M>*0<2JWJ_?<{;V1q{ebi$y}h(tiT!wYs@MOdN4z0}`ZC z)rOq+;uZ#yC$rr49B&=Ku;M%dwvofE02>K>_J)*8fUzqdz`%xP;i{>IsgA3=Syde z^YQh5Mx=RMXJv6SZ_OmQmTM@H(5-Oig@g<{A)Xy79Z@U6Dy`t$$&sK@J3T!Pa6}8y z82`>81(}!6E#r=rjJbR7gTCs=X)nzPQ+T*PKIltwi3I|kWgxF{(+IUgzhLm9ESMF} zX&Z|=@EK$V!(r8jE!9+IY|12S=rgtlge-K5)sSyH8BZ{^EZTPp*Rj;f1#cuLt;?}= z0dB9{GtpCfs4Qr;D~|D-gTJWZ;m)JLlMVaH6+mz^ty9E^J%iR`4IA}=mg#)6VDuTU z6oco_AD^E;I6pVyaJtKn4-X$G`x<*pO-6V`H_MiYskfm81nOq6VCL4T-_uXC)3e_F zgZDI2ug;O-@N%##(Tjabs&#LI#SVhtn_6shI>~HqZ_qD?Y;SRsHMfTx*Vt%#8#iE` z%rG+XioZAkl@c4^p107`s{pJNEQ=Y1t*IAICCC7O`vdJY`~i9m!zShHrjkR`CH1m5 zXe@uVf>%6$9ARzwM+`R#d}ZwYSO7%G7(0pvlcS-{z-jo>5$-C~f;xd~d%*@(&*@Y? zn$kE2WoJ|G=wS(FWdif9x2xG^>)OrayMxXkUZZ`yc~+8`-SpNE%h69oIF-tMLBm$V zw&>NfIA*;)_{GMPsYH`0J#A}L73hvgl9fb(3N3!FkGe?2%2R;2DFT^CL#`T7Jai&; z5s(C+ldra0wP|6J(jbH-cI|~g{oD(__OHF)&mxzpafx{i>a+E=zXeBixy@4n)6y|S z&ssF0f(Mg*E5{^_H}_NMX$Cv$b4^dTv(@|EJY5%^plf~xo~w`5`4;A8AQ(L%JuNlE z4>4nW_uKb6Nw}NH7FNY%DZ!&FucHor`zR3I5&vDkH*U1xJ(6OoL>2&Ul8`4i^`o?8R>qS zm?j)o1I&a6rYUW$8+Ci)X^FQhF4KoApfn$lGhC|gb^V~V>j%HfT|a8=`qA%l*H2oz ze)7BA_0!g_pZ>0O{q8S)P$Np`Y75UiZ6QWCOCS)8ldh(-73*}dWk5eUPQPhlK>q@7 zV-Fh~jK^!MSOwL@ul|MRSAU88>VuEIcsay69L=9D_6)=H zV>)4-C#GlLZr0n4fU!i%N{TKvRNr~F0!q*%(m!c53%)gtQ$f%3B257yt*ol(%%B|O zQ9Kmk7R{QXW}T!Gu_P+memuv*4lPdc-I`b&{MLVJo3Beu^G!va6>$^Dc^c^w4 z!^JS6@Y87{f|v9=%n46+ASW74eTAV&BV!90S=j-wYDO!<^BBlkK%LYr74cLaWF#2V zcp+-}Lnr2}MJ1#$?3i;f4O*3*MG{lr;|byo&(|<6)t<6N&UCidt-1yVosFrscHXnP zUsb_iERs@rSsCOq;u)-_245S)Q4@?&6B25!xv@?xjz%S!T2!XnioPu7^XOGk%%^2G zzf9Y!PqeHHh@6_tu#83^daly0XQl=|O|CS^u_4TKFgo6g4oAn72|k3sjzp9o?29!}_(x^IQLqxXodLB;^K3wA38v zO>E(tG_OX_Vh)o#YH(cm5iCgH%@C2kjWm-EAD6>4Nia(a3iM{31R5VmJ{s1^WwKIM zbPKw~LaGLQ?$8M))~F2|g9dkhk7~9uI569UOC?s9rAhSYGqGwSEz1n8HLoHS!*3~} zmET6V0vvmFAzGzia!^N1(>j_`Q?ON&#{^i`MV^rw2OgHQR3N<@dK&`Q8VY}`qV{9y zu@x~a(>%Kr^(XxIwvv5tJ3zBf&0;k@)a-%480SP^8bqN?yQ!CO323wx*b-O}06|{d z4ZPQ2p;`e5lGYZ(I9JQQLybl5>CJhta9{?SW!0Dx&TYn3>%QNo{kz|Pzi|^7RUo+c?#!g?voy3ZB|nHI@ylEIkNB?emhQP6?Tcpi(Gv=r~5#Gpp!5p zlx|HduQ@}{BO=#$h1}@XB$<|^(>+IwAP5C|S+ksa3Awxn?F85f?9WZ`+u z<=SK=Wyuj}hxX=rooB8dsvm-OfO@p&s+YF%C|qH+C1vdP`s=&D_Jf@jA7mjBRz*@# zq+2;;Wx;Hs<#VhRVy$jpCgKwu?Q=LWHX6Z}i8y3;oY7W?+i{y2JSh}>t z@0S4*o>Rf=KeVTJVy7S~sc}L{zLYWe3kd@w*=ZGXaa@x7NKs>|OWUKz70h!13Ia{J z{th4S^jmqnzK>($zVGI7#^dkzaVGEhaVFpI;~c!>$2s`E9_Q}Qc>3-Rs@6k&H^`{7 z|G$x_A5wHT8txOpx2l!gC%VY37woy8rn|4(-U>z5((SeEPf)iVTG}qRrlt~XB4m4^ z0z<6NK>x)f$FF=8PSUg5GCrA5rR7hf@xf`_r^?bwyEpKMyZUCbvXr5s%%Y64@AO_* zKz0U??9({cW!YEhL{#g&78YdeoTJU?^ySS!hQqp;;b{$Edz_FmXR+ zT!Apiq)r&ApEaWSK@=k~sQI`x-$4^oXhZCTkpLvWX^BJMhB4I8s;U89ByZke-11;w z7jtzoXPOfR%x?gW;?R62LJ1EWNCR%ai+lnUBgoK4uqZ3bZ554=4i4hsyC&D%*EL3W z{{}7XX>!%b+_i+YF@dpzKq%kflLQ#Ir=?n@u%@fi(O#w-HrqeS(`z2rshSJ$SyI_W zzd~F{aNMUEn;0SLf6#b?oo+?kZRlf|qk8(OCyp!go~0`Yq5Sl+#CK`{x9CS{icHp^ zIfA`@x_@{OAF6*&_74v9>{9L!b%6?3K7tI2J^JptaB@stI5>&-_hlE;kD-Jqi#rryMpzIt%}K%Zs{Jh7WKMEZUD z2K9}3u9gYz8&_Ag_l-~b_WP!M;7z&!sdEeD!9Uf^&(Y`*T9_DLLr>o$NaS~l-TlAKU*f@EQ4_yWE3E#fB+^@3|Rcv=c24iX@Kfkrd>U_deE*u@3{q*Mkk4YE*4nF21 zBzfA`1+sVlAtE``bpXCD2|JslZ~gj#EpXhc&R%0Enz0NV{BfJmh(U?Dyinu7Kmp@N zxcsbA148m>K5>=n9bRX<8MT2pY`Zkz>Uv|XFLCHlkZ5g^pLCkIPB7m-g-#g$72S7r zLLEv{r@P`7@7}a(zavo85LZjo?iTHJNylWf^p(IJ-o``LTiTE(BGCuf1l`cp7(2$# zWSNv^caV70Ks1-Bf^4wZMs{U2G0_TXw;rF4-m6-Sc42Tr(nc}r4E1LTv_$aa5*~WLKBa(Piiu$aWavo z)?0e1kYa@i$0azGmffL?5_|mU7^~qP9Zw9x-^x-4T0j@6YRR@#nwG#$GO|o?x}aTR zb4c#^<8;Lu`*hwdzTGpgXJ&+RtIp>0>>^dq>LsKw%dJ-Ng-uR}+HRII?0g%?2&+7r zG)9kjjPIrdWmId$EX(UD4EV5fkq?acOqg2eUa8~JXTUhN3NbHlwnz%|VYULClZaLB z!z3FI+2XeekQ{5HAi}2EB;C3UyG4Vwy2?nH?}cY0h+4m=_KL6giipet4|kn|#CzXX zzoN5STU0wmro#&@O`Y*+!8WRSzV5jGyuc~~@tp7~o+YqihTBvNV{`%DV|qZD(uUU0 z;lz*e#M8{L$p9Bs9b09?j{bduCvr#pDKqp*u~+kS4N;X<+ZzyPsohUaDk@d;$dTbj z%ytiYC#DgYa`>Z3wgUthDDa^IlC$&9BzEmMrz^;N#?6>~A$=h-SGawT*wkzEe&u#0 zRkRYL>$RdF=8B+uy^1H)*;VvoYvV%O%1{EylE?Um#W-1ZkQbpS<_!GWbR)`oJR(tt zXN*rKx`1GbmM$+9LTBtIphapgp%9!;<~}rgo>6>rAOsvHgF69WN)G&&AMDJ`fhY6O zhS7TW<>v6>JUi1zu&zXjDxGTcFkBJv#p`SB&yp0PTZeQ9R*jqFw)X(-R9^TyJwW{{ z5^1_O0)KSWJ-JdNaGm6FpkT2#%^Tjeu@bvb_Seq*8Bd=^&!0ah)_Y@89ASb|nH0#N zdiV1EaH?kJ`^A`J5&0S>(`0|=?eaFF&+zCWnKtRjfiK@_u=OVnY|ir3TXp9CWi92S zz1)|JEKlZXzFuTW^f9sw#XPA;(dU){9}mTzR8Yv#)Esr}U22-HJxQhI23cxk34uOA zl(^bfoQ=^V=DY07l9U6mkfEuD98COlVA2+U?>(QOP>4T>jI@3VvQSrvLoC=RmauZw zM09Rg^8|(y%uaJcSF_0HPD`YSna|btH;1<+#*dr#ZLs{>x~--OI^4IBX<4k^q_sxq zaNkC(aT5|Fr#1$hw}vO&<4#gig6=hJzsudf(yvysDpr><(if{mEbXkxEi8kgQ$h#`nPZ2X4v6whBxs^@;>Q;Fz%Ft; zisf~y!n-^3IKhx#W`MY=Yixh1u^h$fq?4xbd0)d`}>9) zmn!x+)`fUxjDZmq68)&|L`C*|mKW>_-m((+JVaQ;=`n0j(Q_Tp(&4o=->)V#M$s+N z&V=GIlN0(M{I^jRSY+u1jR^@>luH@IgP5s3qsIB#HEJhFJ$m{G(o#50HDUwjsA(5b z-ZGC#G@0J0I=@AOG6fv&yf(_dmDM@S6g)gVKGmJHAQaRE7k8yszec;<@avf9Alw$q zMTrc@oYp++YzouKQf^93pN=361agy@ak(Agk(f6-v(R-Zu>)YO&Ol&)?|!gGJzNfg;6Cf`jTD1+{;xL zp#;~Gdyn@aeR_IIs>;LuU@1-Sv@2dJ$gd+zfJ=mWJLP% z7Y#w4Hla3d>FZb!$Keqz+`}jVk4w=wzxro?OKYQ5q@oi~kyo9*%)lI$Q(3nb!X^Yr zi-bDG0TACk(pCP5it=uF5uo3@=Y8RGI(BZj%Fl(+8ea-9@}6?u&0BQvS=@DSf^v!~j z-1N|hxo%cPGWx^md^^)JE0<+5_xw*~>@V>h{CxDtzy;|J+rlhJOIhGR z>dDmP6(oPlOZA!S!g_qaPMg~J>)q&hvf(CRhx>=Y^7V$2bxTg-HCevUrdwjl2KYuB3*B%-~eeK znl@QRe+xX1YqDLsl z;trlg9Z=0OfF9Lf6ypFW0WMx3>uuo)8luVV)Nq#iOeVHK#KbUqY1owG2aKYSQM~H0 zpL$Q9ks~SHR$f8|EJJf@A$97CZ`CDemtSFS+7N zT+e?Kph@Kg!@ZN^`j~O<%wg-X>T|;uU#tHO!{SS}oYF6Kvdl#~n9=Oks@eK}KSG8+ z^tyFzS5s&Y?~<7h%p4Etx?cdb#yr1;s1)8SVL5vnvkjV^k|w7H%r&pU-ddgRTe1%O zNifmr7r|Pv4>s4VrQIqXFCcv}>IE59yr1H08iwl?b6_y`KKidmzZ5h+U{n6m?rWR{ zw=)#KW74+2`(r=Yot7gIgFOt8aiH!;6|#{_4DsXdVpk`yag8gdfzUYArl2)8s;_>^ zb{&oPoBL!4);i+MfB0wOqEWdDdZ3R>wj)o+mX*xEc#iCDHQW?S*$$HH&KfI+|l(AN4U4iZP zI;qy^@4&4ws`-IaLVg~OXgb5tV5WT1B|WNU48?ZFr*ShsdO&M**j)hrt5*-7{U-Vq z0tfL#ELd^_hrfvipMU9Q8iq#a;HsuJKTGz4vrpAGOOxamwp&W$H zX#X$5k^aUg|CYGNILJRfJu-7g*h!5w;C@u!n~-CS=TdP0pZtKzQZ!XqkWAOZ-qYDN zn0K*VM+tSzx_LmDoMc#EBMU|ZmVmz4KvsOuub!e?V2}bAKcY0gSc7@q)Fx1^jZ=+Kr9=Xkl6Ex8DHYaMgd)M?ffzq08vYXNg3l$#yO`u7e zIP=lR%;mC4uGFF{tXtW`4yW+`bTuwfjkqO})i{Qn?x@u_mak~czhk1lA0^GOwYt=# zHlH`9HVuW$&f$tZquUH(?P?oH=XIfHp1VE=)M=CzH;K`&wmBJJ*4HtGVk602gR5== z+3mfE7*cFOaR^_AV`NEH^sp?56@Q*>mq1parrH)%w2DRCD#9)v^_7NkH29e4q9


        hT3f%n?D#!eZ-f2>h_Z`jB^BQq*#zNEZ;d*)w{@%8E&D5Xb|9JAlO^2?7=% zfGs}u41YKDH zj;FLG)0V07QLyLF@n7hmlASATXv{joKvdf)lfTD|<1m)VCY>!=P-90Y?g9jk+2^$ zvkT<~CwmcFzO)~siTa<`(Eb5`UFVx_vgI;$%C@`U;dx?tOpR&;9Q2()XqxU>Y|lj0%cb-x4g?H@7#(Cy?FhVSJpyd zrjQE(zndWX(a}@DP^>xA1t^1Jq-L&YFIqnt9iiL;2rP{8e{h-j-)qZ+6|&diQ5T~S zDBUrzlGd6am!RB5jx>}93G7N0DiG=kBx$S;>Wv&}EDh=n73oV}(|vtNeYPKN1W3d1 zeK#((iA{shx6)R7O8oimC@`l!ehyanmY;+_KQAb*4vvb83lFoQ5AV{{Me>KUtyj?h z@mcg_yWXW0dW3pQEU2(!Yt1jZt&L<>LU78vVpA2h=c~i(7b%0FW2R^8l$UT_YA2^KiuET3a?+3;}E_otwcHj7cIc z?*t(1l-50vmGXcox)f!8_$SFcK{&laPAB4`6nUs%C+_}k0KDld&v&Qq@hsf?8%Ua* zOua@x#!kwFlL4W%m$O!|32M3>yrUcx8$DQsLYo7;fM&_iX9Suh{x^Wan1!gvEZ0Se zv_$knum#(jrLwy0K6^#63gYc|_>kPI`fv_~vM3(0k)+mw1l&5c_?ko~;ozX%FGT={ zjK430DQ(6x$HX^Q<6KBdF@EHdbIFvhymidbhKP>Wa|=`kD|3V~Go7nc>$=oK^T;pb z$%Fmj&z$wpYFYciIZrJ?sd>!N6jq8UvnX zH5QoZR!ihGTgjKGrWon5qDwWGB$v?S;W6ohoRHwD_F+kIW33mFGqkmV{!RQ~Ok(wL zSWWxeE!PbpcNmzGB?)S4NC^I$h*FeQH?n4$1~MVL-_nL)ooK6Cvq)1`dE416wIZv~ z0U}Od^;NTchi1LKN2P&ZYAxeSDJb$Hc@e|AGep!_8>Y7e0FEt_dD;T#;kq?3K+zz+ zP}3UVUvLNQCZXEO-7kA0nxV1jHp}P2GSow-w$waD5j_}mHJz(2$F&s?D{s~5YO<~% zY^h75i^~Vw+hVI-%0$=Y-E&Z~m7x;=?QxMTMxYEiulJ?90*779zOO9@f)lDW^|M7Vp1KU!fs{Vu^+VuC@fPbk0<td4%;Af>NqWI8Wgh0?gt21UIdsU+mXZw<^v{wm+@1Rf)x02PosG6kVH_7a(0c^xS z;cDLCy66JKuzI&}EkOR1ZM-5cJeOJ>F*h4Hch&eBLJMFfA7MPq8-|_XKq{S*dhWhH z+R}cX#;b(9AJJ)bM6^b;mNy<7)eq@3HG*hwq#3JNFK!Kd>f(Byl1P4t0q0lmn1 z6#L~2#dfxstA*5ulkP7Ic%_V z{g*hGE^@Go(5lYYi-fHoA1>oW8uCQB0*lCGp0xdb1dILL5M6_rm`{r>99CnkvQta35Yb1^^Hr=LE4{ydg6T~uK|*&pvmytKCaRCyL zZg7LkX-B-d*fGDXk_~ZK8FH#52MCKkA)Rm4DQ=(CHb83J&y&h{B$eOEhQ;?P%OPP0 znd~dnqyHnE!q)dSk)_va@Kf!fc6lClum9K&YE6}|l(vRlogyHqWi`)|8ECH0EOj*$ z%`KEKG257pj@=S=R9@=-^I_vK^ivbjja>vAa}ulQW+dp7V6cj<# zt7E$KkT0x9_{?pK)rjbHBdBcjtms|LU@O6M;$8cXlEFbB0oTO3L+tr4= zE;e|=e~X^LPa*TX`<1IX_^kRAh3gG^l_HE!ADxQF?pv7f)%nx*0v6MxNQfh9ITU-Y=Naz4tU(Me8*uo3 z#0nX4w0=W95F(gBH6rg|f9C>1iNYiDOBabJVLsy%wVBKe@_r0p(aMnNTBuzU!p=Y( z93TS+d=NGleA1aK@!@z{#zMWFiDuI4WQF85%FxT>P(kEn0|HM_DK%m6yam}30jn?8 zt!J>S^UVZER8GREye@9sFf#9Nyw|SPtG_X4W9kU6nr}doZ;E*zsN?d!=2}(PNY`~a zl&s(!RPsVo&*j!~+4`&iD#f`MZkAQkc-qUV@Zv^ycAK1SHx%0l^k1}RL#EuS+VN+~ z8iO>dnz!?7c+nuO#ef&ptn(uOi(YtKTnR=2LC0lMs(r|O`M`P7poWD%iNYOCf(^uL zi=r~rJ8;V;+98_guJ^{bG#`Pj@e$^U&mmOr5XV&xH03o1*gZOOLoT!^Y*N9^y6E%m z6NaBoLp8%+PLgB(nUl6aS*UKFIcZB;$hnnh!1QZaBYL0jTykJT)6Lb!yv+o)6eV)j zu(#3Qw)_oV#{@L5PUSl})bLsLlg7`&YdDR(hG5$M^Y4?&hFWN|%@!;6=(#$IbDkAf z(RngmB$0D%7>@9HC|l%S$B*>0VhRqaj;4HHh9$L#@Yqr^=4$Q3m0%C)8DVi?Ap9t9Ff6QgEg1g?&T?sGYw6sR z(ZONQGP~_s^Nn=#4>-!JS|OMgezxYGnX(6MY^i5L^KK}2LVV{&Hz2SYzUa9Iw#xwA zJs~j+U^a~|Q;1M0S7wuDt6^REN1P>JK!&u561%`nz<=l4nNO#<=edzyitL;9EE=f) z8Iq@;mb2Lr9Jtgj^O9I!%FP0hx@LEUZc)jz5i)R2G{IW?7%j}Nnu<=~hji!;I%ESe z;7xaT#Xa#|b!C}u#*a*}Vyeur#Z7YC%+a*k&hoU_sFtGi8{T!*%8_KSuItN9IAdCD z7V;BO^j+LdQIoi z&@T2-d*pX;ZWtAhaf8z3)2hd5i3x{{B0m-yMdpmiA|~i?=$U}{P43bjVEq~TrtAd< zzM__eIE%p`h4Sjc$Z-gD35`zq&>b<m0lMF9l{o4gca!2S&oT zOocH0Q++Zt;(^sZOpmJ;-qrRZK}=z(GX}_^Y8l5sS#Svk>vVa8-kvczx%S4+9y4FW z9jYxbi+Z_GlB>LenN52IZv(2Vo zr;vu+EXoxBv9jNnzPxmp*u|P-n1oRg+n(MfhXz=LA47mh+qf_kju~N(SmUZ>;Y9}& z;S-}A*s4O2@k>{8r+NMNZjB#C#%C7xi1M)U%2~2phoS@cJC}SX$f&ax=}WlE53jMq_SB&*?+@^`cS|SRX1y_Cl}yXL0}y8o^B&-=S8JN_D%X(7v%S?PI;o(r zQLGVtjb9zz$tcmcc7sp&);prBE}DCy&-iw`a`zwL@(`*sNo3leQd=QY<_x7ZvKfK2 z)c>yZ3OqP_@?_Ym`#3{Jp>3Y%{37(>l^1RikEgcz+_|jmXHKs+nDX zMjYvUJDrso5g8djZ@lmGKF?x6L#ca>wIA89@NK{C>FJsJwx_4}&Kkb0s;t|$tx1{e z_~zZd>f6<^NY<-@l0gI2@UH`KZoXZ0cYpQ$=5TD>5{yNo#m4kX^sn2y!DN9vAGN3U zT)e`wKv2>HC@Aao_Y$NPd>$7IWz1X!1GPt9aTufZ9}ER*kGwdo2#(eVgtw`v5)p2x zX@Bci+VA{MBJkW0bVh@*%cpRH&TTDsBF%`x*8%4GCg1&&xP{L11q6<3kAV-@g{lz| zC>UVwBe28ff-Q(lff|rjsW(HZTTO5y@Mc}76L!)ee3zBh0F%OpBHbuu#pjC-617I~ z&GAOCPN6#72EEKsq2!Y?$Tw(6yrf7#Kz7&o7U2+A;Tp~;vjtAG>Ses%zl`SqP|PCd zKAC4qm2*hENL2s8MqxgVc7_y~aM3{%c$AEx^Rd`nc1Bnyqdv$GPUlwds!mR)I)WhJ zaCmZh(A%-TP%IKcKUS*Fw%hnT_($hJdKqK32#zU$B*AO=8F~^kMZ_V+I| zf>qE1WKN#-jKUPy`^ z4T7yx*9Lbq^XB*ih{dvvS^-e&NU85*M!dp*k16zQoWj5EQLIiqFSygCrnf-i!i0d* zLC^gcTgyH`s>xtDjGjGwu(|Ss_wLOa?yuv;8sHvAI&};E$aa}HiEzBRpJ{~SeFiAF z@B?629z>wCMH9_ne-=5DZi3WfyG}wt1+qcautLLZyECJ-L;Xlv(9P_#tz$jD!ORFX zWD&4_fXa*A+UyHOY6dI6$r2f3`JJ2Et+gaWEw5>uF1l7Vvb}YJAG)b=blWCvN4*y!Edc2K zUN8%Qcm@lT)n&iOyQr7MNO$VAc$}cPH9Yge;rVl@An0>wE>~O8-rli#m&;fgL6 zl{Ma=0B9?hx{Lhs)Ezn}a=Fgf6oTm6PF)mPOScQ{R{Mf_3$o@8lm#1Jxh~r`x-2fH zu+Jx}*+TUu@xudnci%>bLbn83G9F_FvVoF8A-Wy79ObaPpeA3IPWiP(J!&LWZ`rgS zmT9Y7`e<76(g$9mV9pffM_3y}93U%a#2N^4vC!UL*XxjCh^|j(3}o+#@jEW{lNjVBd9K&2qpu>zD5s-c+cQ*7rC^J zS%q>R#!UEKc|`r}FMBvR*x+T=80h@6puAP{va4BI{C#-WgDxMoj0PoXq8Y}3mz_l(xHx8D6moN8=)m62K6(hILaZ4CF`*- zJmY*wD>NmOcZ9_s`1o%311w9sM+3!$Y50X+hMUj3Q?0RDrX$wpH&u|UY85~1J_w?! z)sZY=^8TmVU*?pq?^Flf#Hbm;xJg4588_YD-(I%GJo%r` zU(RLD1Ew~&0a)&zuA+uqI!HSgk7qx#mP5*@h|Vi6o`_>!Q~GtF&&%$%fFd(!mR_dWyk;&l z-|Y%d;E7ic(tD_SzV>dgn?01PJyblr_(*Tsgw7K|s-)lbYKG^Z;VQcRZaqxK6I=<^ zwc*}@`e&AdLMA227D=7+6j~7J8@%A7Xmwp1Rs~cYpDfghIE%1BmuI@(Mv-ly;G^^9 zoWURn#nst4Ni>0*I&0x!8aaDEy!#WBOsht)+Ifn3(}E4*Sg?Z3&Fwh-cp2jg+@Ig< zP{8lUR4t=w{@tiC2-#$;4slyZRFP{++jN04^z%zCB5qL{4Hw(qQ<%<2StfYaeVK<=jfs z{<{y^#eDwVhaPbJyAO>+<>b2$w+v^t#WAI2{N0Dvv%&F0>Dr)6s+p#Jhv1SuI@FB| zL?{9Kg|#ES5;|=>!Z|Qp-C(6DzD$9??raA!7f{J|@kVF^Uu$lL2|Ic%7#>0s8d}gA zRD>pQJdiD}#)jw!qiM%DdaaCEWv(7TOAhN>vT+D;w<^}yetiQ{)|7RTECBj*qc4+FIll)g=DKa)Nw(s5!@gK^yNPsFX$d%N0R3iSDkW zs*_?^uh%B;1~?%~%m&JrrUI=T2aY)W9n&Ap%c_q_jJ|wPuW*Z`l3#@VQZp8?Xy#B} zOs&v^w2kr(eDvTDD1!i_`MQMt85v>7@s2N|EMe##KIgU9arbxL>!eWT(gMo7Ovj;3 z_uGjk4pBm^wk^sRpt!4N(DUF^9b#$jFnXW{<-@4|Ao``C_CcTUuDbq9vEJjwHU~Lx zB)&ixHZ|zN$NIZCm8Bcm;e!lHp5T{I-*^3ftr(bQJ!sbe3xL!-E6i$=^-KyXzb^66 zIIPqXM*>Z2Q5JI{4tkX6{1i;j{=M}ij~+>Fv2b>FtFBnBIXN-Wglcwn2eq;Gas%1f z9W=<=%e87%f#65IG+B%M*iK8ucfZR7yQD=^L;RqL4P1}r3o;y!q3{>0xR}C<^y0~2 z=(9NG0P7f=fjzq|aYVvJyK>9;HdmLzZkrLp*9Vk@PPxv)UB^oxmTfu?;<6J|YYLne z{UY>{)-A#8*On|y-G`~7&RPecOWKrwyVq2UIbQ>zNbM$I7%V6pG=l7zF=V${9cM#4 z5%tw9Tr84or)L2qdQmb@res&ZeIm~3fxX+eO#MoW;OObv{>A3e| zGLp=9!BX!};#(ijV8Xrg#4zbOt}LnjVg?vGFeK579qutNjX}=T(TWh+qZqPjK$hro z#pA?4%T0@n{>}4t?VF}{S}|E=2N1CyW#+4|uV>Xh$|Hq(fJby)(Ij{!DDdJ@o?&hm zD!#GPgTVc26Do7HYffyPo4jL7OF}ORWAi_D$ebSuV@^AyZQha2@4UM+^0}{I# z>xJiw-QcwrbBZ9#H3MSw2?LPh| z(t8?$?jyNq&{|Q56h24kPfr2cs5)^2T~JJDGZ890Jszn4IiZur@a*VR{dqhzEV)M0 zhJnj5!B;Gsl1Zf|wbeerZUCXu=A+*oN#L**Q*x_Tux z5V3UC(ny)IOTJqyZc}x6L87|56-^+sJKX)+9I}kAl5^UEi&yFR3YELH>QYbv(N51%1Z|h5fJ9(?cF=n9%4rYyF|8%fG5mI3ZV}aZ`)L(pnCSBS#J)0 zk~{0U+KP*L9`$iiqmd8mROP@%K1#j(_jNkl{YequRH^@A6{N)zQ{UUsvD}V2Tx=Ll zD~@OMl%WI$KoD^99@I(*bRZS4E|&jCi!}X0Y}V~L<*48j@&@29UVx(R=zkIcxNUg0 zr&BhN1_ihFq2m=eG?CnC;wm6Pfz;y@qz*C&>THRR?nVbkr}%8oiAp z$=NQ*&K%U{jxc;vRtmge!lDpx>6lk^2sd?nKjm)CGms+ zZuqix95vEW!o6MdHn}?iTrgb_ONi)2K01t&Df4X!%xse(_RmtN&X_&ci%HgxIP;O_ zo~voB-}8q{a8X7raBZjggq@ARo7X zEce#E(`{4|*u2oLFJ(t%$t|YM`TqN-p}Zfi(Cj2v$cv-Ym+S#b#Zme0p+s7nWAg?77PDA>htqEz3yrV zHCEf`kC-E_&|L9Ox&aZ?c{*0xJh?R>y5(hFJi^p5K&yO9Wy8Vt`<`%S>faB~j`n6h z=-gdsvS`Ow#AOe$1QR^cFp-KNsr?3OW|C;BfWy^bV9R27q(0YpZ^zhYMdFd6nP4No zFZnr(N)pCpfliw-8YmBuU0ZZ=(K_&)%?(2ONwh!1zP7Cj3`q z`d7=*iaeBihmm?-8w%@UM6M(FhcXqx#@E$CwuoU%p@0%IHmEP9l_llgQ)Y2FqYPP9 zg{ksX?Eq)||3ht2XZvb*8_yE!0e#9>)V}{FaR>6Zc5fQRi>vbc2r#gd6E(2mUa%VB z`u9*XoRmkms3P;LhdUyvaR2Byx*F-~4=U9k$m&rVbsBR)7owo!=;EQy-e0aGq3FkkdYR8*`fP9vA909CVkd=l+w z;ZRjl339~fLr*EwN{T^JJCBb}V3qy5?>8W85tLfZ^BSHVAG{;RAU?iIdY|s9jt-k~ zjcAeO1hR>BM*S6Fk3_qa$*bTY!7>le&=+U0v(FtwEL*KFl=<{n&69Deu1EBUg!;C^ zV;$w!U={T^;?}~0AW$Fe=~#nxVo4CNKQEIY6rBERBoV*}`xO}&hN`Qu^+I$zWZ?S-G>mI8Qn^;avmT0(d^~ zp0WyX&C%cz91gQ+x>lBV9Q7|@_enTYPTd|u)F>+9=$$CD63GI8n5Q0r3r-Qd+i$XH zsN->_5@nc5)dLf3v`^ce%%)K;l z$-(}6`mtROPPyZg^0~aa)CVlVZwq~C`qpBZEB95$q#el|yQk0Mc0)rinErgsY9zj= zQhML}lWfN~@DNpmmX zqZ5id@FQ+ZENSw(e1a&iMdrQ@+O##Fq|WhbX_LNfgC@N_jikRL8ZycDR4`X*NZaeo z*TGO;;U32mfN{*oLx=XT64kAm-N!o2#;;)A#l}x4j+ufR4B?< zLyBIcn9$A4Kw}n{bK`v#?%<|)pT+AoMf5}@%Z9bRIbRbFBaX+~Xqc#flL*+k4M0dL zbuTEUml)t?E)f|?W4D^u3^+)nqNDa-A}PRxI?b$>p3M27c}H_=d#vp8gUvk;TP5>K zY8g)iN)rlhsm9pkkxD@cx^+j^F4y~p`ZX&sP9(Q}Ni1C7g5fR?>iwwi z6y~%>tn<&C*Lb%LdPOHgu}fF*6FVN|i?^nK9bV7B7Y)fR<0!E4&|CEvVttAa*cwNXJT@R~L~(6e~+CcQHcnbT)A};`2q~>W}ERtI$Bg#xLlKCe< zN>|58DHlh5N!WE^5wjU3yvBTKAA63eU3yAVH&hypGcQc-%gA52;oEsSnPjlHr(ijJ zA7wHBWEYgQxW;K32_D}`GS9~lSsrin66f}@pZO(b$pVrlm+Jec8r2iilm;}{2v48g zU*v&)^eI028}Kq&I)XvA(OW#_XMX19gTC$*QdBZ-wn#)xh@6wBykIbeAX+WpU2C}GD4P_y640D7Cy>)xflU?z@oTR zCb+eAEnt1jmn%Spq4F)i2p_d4>g!gt9mlgtezT~-4!f_GF{#Z{^@lN%xsei4(-# z-pKXD%7q*-&l?hyQAaq`2U^ABtBgHlq$!1v(grqitwT_Smh(#>sJ^MQUG@T7mq|jVk}@=B z;=F&ZYb((`r;E#~dC$l(A zdzVE@us{rinbB#V;LjI`j8W==$A+Lw>Qmkd`dgToULPc=)qFURkWhPYAmyDgqq{St zE1}4X`W)8@a-pSD&C6xZNB54S;qkTEbqLe|pw9xpvJ8~>(k&gH?W?n^=;Z9!hT4!{ zQZ(9W7%0!LNARtoL~U@7$92nB&COB<tk822f4k6JMD*%$_hzObwFGQo(Q zB{5_m&&yeSxf02W;x(O|L~P;y%~kZU&tba8bPoOMg-)iuggOyPX<_UH5!J$Kwc0063 ztpWdCfHckos>$bXL{8BGXeEUlJEA+_P^JL1>!?g6jK3vM(>N)$OA>d zH7{iK>RVj`QYKzcb{OoPAY+m;V%{(@hs~^V8|~SU57xl4oB?5zL0Uif>RdBjsJ>(H zw{|^i>zCgK{n-AH>F}y*cCS{j`O-u(e@5jj$sjdpT&PW%-~07?GUXf++1<++DA0(E zNZEEUNi_1YzTYveSRnsHjawvYNWlgRv2QikX7TM}5l5peegmsDzz|gB*_=Mi-M{a! z^-0J=D_bAsEkgcYM-0(coPdHxqg#;7Veb#iO8E#MrP{*j$5eimLc25jRdLZw z@2AcUKEt2+4U7d<0D4#LZIxEI3y#P7*AqDyu-puHaoMr~?N9yHngL`qX> z!zaG`Zz{~D_Mqo;oEk||98 z2NVKEMf}}*Z-01}o6``VV*>gn_C-4p$akn76Pe=$Heuu*@uNO)vs_vLC|~wE-CM4` z<9Nx^2mlp?gLw%Yq8#oZ6B%6qeN|0W^&9H{Mzw%~bC+4J%%wWd3jL}_K;6gji~|fO zSLhOo{I#0@I@s)wF@sqsay1SUp04o{76)K=YC&!Ob7))xgLGhVgv)PByN?fql6MVS zXIGmMTjd7Xhnh2kctN}AAvP0JkpTzLN7e93^wyZadl4Lpm#7Q##?n8a+(ca$vcOSx)yto4HNw`-l3D9C) zMa0D`nX@)Q=N;w}GJPktP4M^UptKTUQU+C)fNiPXRuyw=L>1V9fprBFR;b)wY5b-1 zqJp45FRnrRj4A=Ck{CR*x(2c`u0>$b5VPk@G9;Qm1E!ONn7h@RLV&NC&I!F)SP`r! z;UR08qY$#Kb{^|-<$Bc`s&}SpJ~8EAvi()eg*XAA0F*AJ4j|9k7* zOA9ro(%4e+FUD|7c#i9}k0Lg+9CF}cs_-K_hD4(-JX>L<*?D5pKNiXWKsZstfSC0;Pmx@#kA{~~~+-KRX2d>rVHhN`% z;tJ~5y<>G&p=0q*&{JXfWQ~lWBc2W0QMn$^Nd0$U?+#LI=sWZl#Z(?quyZ2#=Ej-I z--C2#j5%emSBHabCw`^fz}M~@PiQh>J;iJ2A2nCO(TY+|Xz5t#EP*G5PrroZT*`@` z6g%MO`mI{R4=y$8{}#-@|D{6eYrZ-nIoO->)vxLZez_sT)6*m9%;D+rnfl=76V!t3 zTsq#Wx|AGW7m41xo|{HkLK#6!yGwk1IJ!KtWrx2OV@jIC_GjYaWqN};9$n)&tTfax z>IO)B{eJW4bAN`8`#A`H-$Bpa{WhKS9a;}zV3IA=9Wj6u>`bmipSrKI=CH&l*Jvy*#Mk zomDDTM}Br5-x@M%vUZt$(s*lj>h+OyT1%PeFIgp5xZ~t&d{rgD$`ve`$|IT|G@bq;cf9%Z2rvbi!lm3rC_I@*etFq4_(jmZE4SFo>Yb*(?E?kW;tn?{PtGl;=h-7DwyRcS| zNc$4ou|oz2fbzT=2>=};{Z#|KbS%>=k#HsJX^n_mz;(U=>C`O^#AifpcQo)w7jjC0|M1mw1OZ&VU6xjzA26TqwFe90Cd%3zH z#-R4GHw;b?=pQd<58)5xZMjP3bQrTdfRnU7l?m+?r>P?LfIkw?mX3A^IFsZHWT1}b z-&E&(%A%z?L>U9jQzhuw_Vx~u(|S*PSg3ePF4Kt<2DVPN9k;+m4FzyQAFDUN<*X_7 zj})>$A$4kkXd$>d$=9P0N(j35_?qq+9&415T)kC!u*k+Zh`B*ft^{Opl@W)NaWyUvwKo{vfqN9;Gjw-PP{g?Cn!6f|IsJqLU%k^)QLEF24e=Zj{6n3YP5nrzSPML8S&?bJsn4a4w$* zF`$0Jt@ri1AlN4PzQ75Ec9_#sHu2tAaTSRjGxo(NFs)|mP9FU2BTy84`#)L2Wh#ajRa^U4^(p&{JC76H1-^DFZ3RB~r8)xaH0R3EII^#&jvOz=# zB)VC_?;t+W<@xIVZVm|A={Z&ug~NgP`gs4Yf!$lLl9|p3Bo8MfC=)s&k-@T2mNh5~ zBuoUe#Oz1$vPd(v$eitmG=DrPYBhJ9bEOR^GIu+Z@&oiVnL0e*#*v9P?sL#e-Q~IO z%1+c{O~DEX9K`P7f*1+lc%aT~Gdg$8Fm&6C=`X;gLkH7ei)0NhN@XBon#Ujm97TaZ zIT;a-EULu@^Bq58z1x_!-R~9@G8H9Tr_zX9swnep~@qVHG`xxE{uE z)a%E|YR6JZsZJ?j_NTVn(!nTQrqj#vM-1VD4H=a_P zoU)iY*P45X}y9Kam721weznKVKAZMljTnbLFSm%fvBWWiu~Z+qmBKQ zLt~0-Ei7emlqg2#@_o>A`iR1{8Mtv{(2{O|3r0>{Tau>LZU9q5l!LM~6-DuOL2+}p z$#d|RpeiO&13oO!c<)RAjRmflz$t6ei?C~jXkFgs>VHgxAW9!dt$mrzKYi`4# zDF`$rv6Dl3f4C8enxrvrB5c}ipjfhOsNa5xH-8^}`+}87zTjJpaP^nW{{&<>67Bg^ zqdk>{P4LcA1jSs{l;Pgq;N+;sxS(FXk_mjeaqp0q)5o9Ut-PH6JnWo}&2f0xekN+p z#s<+%o3!Wcc{xJ{#k-*7bod;fLIRBySoF+6kLqdg)Z_)e(xchiBJ~n0%6-~$t0z}^ z_dDzr94Cg+>5Gu#4DSfbnpGmHX)#`>6(J^#)1Y5{>sM}Hyr_K%RW=6wrIW#?#lggG z(c-H@KPu7n8tliWapY&d&afXm4v}t|9JROz9kB#V6)YnoH|1nnQ21Gy*_Tf6+2TIF zOmvW#cPs(+2v8BoRF59r1=O*B@Bw9eRqbd`S6c3gPKp5;SxpuZKh_Ket0qnbd^mpQ zlFf_rZ&;}GRs#on^|k&GUtBSIytAb=U0%G@$38Fj5U{C@7Fz;(x1j~09!;a zQ_d^yeS_B@K}0|`0I!>b|NAFnd!#yzo?qza@1MXQ{E&tNtwi$Cvoy)nhlp52NVAd` zjRvU840BJN7;n|O7xh*n$c?|OB*T|8LA)NTlQ#}Syebg74TiGdcORY}o<)6b?tLnR z^m%AaAJZuD|6IC=55n*R~dG8)bRq15d>omDxctDlJ-Y&*` zTV;jfE^MNiV>kn{EH{O4T%+5p9`b_#D&aPP=sF}E0IXe2<-hlS$Gib=W@GliXZgCs z0sf_fJ}nKZxk8Xg-cnq0KVo^?09rt$zmIGk)MIvmpC)-RO=BZo^Hv!K(&J+yOw40t zTvz2EsIdUZzY|{n-*lWo&%K#s zNN8xgx=H7A&7G-T5>Tkw!pJl|~o;Aj<|1E@A(Sp3sIafty;I#&T^n>eBd9 zJVtOvXfidc&3GkP85vtbi-wFJ7&PKA9fe^WpUxlmR87%Ji!WEM*Va6->%;CH<@aZg zpYqc@eh`>6ZAko95HM4aSiIVfpn6Y1jAEly0@~k<{ z)rFIX2&OkqQwcX}tlU!{4sPAV%RhoQw(xb?!u*01&y< zYhx3B-NfMqClXG2ozN}#TZ(mtB7n?Xr?Kl8xVkq=)Iu=Pu?QZkJMG>#6mMvJ6%F~P zKwSM>n3DcJyoHJNJ`2Zr&7iYn5ESPIQeU;M|Y-c1`m* zifFApJHdeX-Jc~3A)V9`fX;K(xbZDexPhHnBO?=bbcxR=T{za65Nq9U!(V193ndIZ zfS5I~gM5~&S-aDky(aPoR@Ee^gc1jA9)Vs1(@BMOwVFflQagb7d5l${&%(*~^*#1} zsuvzqb;g)k5I!EB-8(!vA<H8So8clCYeXZi~T>Tof^; zsq6VN0SbvV_>T-WX`%kgvfu&7`B5w(wig7W44pj@9UhlsuqR>vi(W(C7KtH0N`O`e zv7UKeOpv$PO;((N9MY~Hin}stv1TpAC!+pr$2# zHa|SH#OUKJ)rXbM8a_#;1u93x#n@@R`n&lB_{pe`I)i(nwdZu@0tVK>{tNuifw0`+ zx&0IR6_?Dv_fF}$-Z@#VC^8PyuX=dG^dP@>27j9s-j4Tr7kS%|62W#;jXpLCmllJu@ph~mc2mK+a|QcuNQ`2 zXI)0tdrF>80W>gs+*dEuH_8%*?CU4C@uNaY@_&TKMs$Q*Ct_X``jV-C{0QY5lN-ne zd|?`{vpD)<(S`r7OX49`TS00ddQJPR4PBHBvq9*Hh-Ls-s57xdW>UF^Byq8m&egIr zgMd+Pl2O%O0jHM=w|Rx6SwKN-1K=!A1xSah&g`b77Pr}R%EAzj7!gX^V<+pT#oD4chm!p6IdV))NoZ!}J#YsKy3WV>qjq`F|7S{U!u zz{t|E`RJ0W9n9Wx$CVJHfi6O#UVgn7D-^*=v}j7_TzJrPL9cvEAd6Vo_=D&q+KtWt zGDv3rcOP^+SDM4vieZu)ohn~SHCH_9n|nGO(mdaLuj$BU0{xZ-g_k`mPsxzW{;~F~ zfP-Af&JvM;xZhMYWWWhN@Y5e-E8S-A`3Jn)!bH)bL-H)iCQaRDPR?D4nyKh+l9?Nx zpe>#7@NA#tmj2Whs-DVVI34VrMPIB|>VrowU=7G|Y2Q%ovoY3GM>E)~*f0mZEs4R2 zxi26N`qG1wIc;`hn?B^9J7p00KNuHUpPamQOaqyrJp{+7M2d0$%)O3kae9&WI^S_2 z*3f*CXFRrw4ff678K-zq>Q2W#tQclJDYc`L37$udAk?~1{OYLE|%C&A=No4wA3mQriK-06pY}?m^;0qj@x27n6*1&+h)u_bUEGpkmeXv0;y*wY^;Op-OIX z$cfm=eb}JasP!qTwHf!J=Q?ci8aA_#U}+xVNRebjJ0?M8T#=I&FW@5Y7sk(cB`Z0+~#h<)k&+N{JYP z{PGxFHgq7f+$yE4eF~|DIDVhtzr@kWOK>T5jJdp3%SmQ=PS^X#hx<5$)zLlS3wxwb znZPBzjb!PR7n?8X-|JGMYd*2O8vVhJ*e2HtOTYnnQTfXF+G)AW8KPn%8F&dcCx~R* z{2Yth5o6^qRDlV?U~(hTI3a}HG(0;y3AhcsaWlo(!m>zzY;#qZ<;HS;ze&;Fwq=;b z8`2KF6E z;Z3sWHBq^33*ogA5f#sj^abI$*e%%IOdn#04_J@OE@ty_2K$@(1ypmBNm2#pJ^-Ct z7oKZAcoQkx*Y8(}_IN-!YGM0(aFoW(2|Q9U`wQ7e$cik;9>Q+YI&PpcALA~leh!kA z04ViiWyZpivtGhnnp6aoD9jX0q|=BgkE?-ZXShx>W|wuWTWFbFCpDA-_1q0jUTC!Q zYlZo|L%{accv%;IMLOHU#1*%%?C!7pOtJj8^SZQz#=AK`z{A}A9p1SMq{BPB6HkQ8 z1_)la3gSx>K&vIosJ2SiMaN{^O&u4mv%-&3?4Ouy?|o7||HBHmT$ubtS$Wfh2(71S ziHxG=^rxvwzT}_aq0iL6a)@j^2Oo0j5|Eh#g%FEY*54exNV?-xPlM!y0Tt_SRT||F zT<#$n!!C5Q>EK?=zJPIT;ruKd*Q(9wEnp zI`8B+3vEh$IRj_==OyU!N)Z!kP+FS!xB7N6_Ke#JZZ635c^maHg<1VGO~@18TC!R! z)})T&X1GG2C`}qa0+NF+W1H>#S}nijQBoN*n_L|Dv!R& z7s*^rF`tB`LZa+oF8~`IzEztoT*;%jP}{~6HBr*>6`ZA>rDHe~|Efse^jZm%X&Hfo zZwQFZ)A19>=V|t6O_8j9*v1(;H~~83O6>a zXi3npX36DhgNnxq5w&enF9?^93a;1+;mL%vMbMi_UPLr!;*9e-q(ll=@Ep_G)fD>* zq@1EJ)`cDsy&d1A5zn^>AOJDz68wSct?x&Re8JmGT9P=<-G70@)mxpyHq45a6nk%{ zbhKGKhvf<(6hM>-h?Fc3ELehZ)hBE>+k{;<#cnj|Rk++WHMCV+lLs7848XBO^wL|$ zVVgXKQt6OoOJCnE{?3nz9ze`Em|2m!HzLp}*_3c9SWKtAKO8d^;h!$W;=4!StKfz194>2-N^9<8+J?VPp zRxVeXX|K21r)#T}Id=B7enhA2FsKJYG0jl`qO8@Ku|^HbGsyb!4zrHI8FXFLQfJq= z@Bp{&Qr7DErgPU?XdLVu@cj^K`?><`czl&C>b+iaT6=klFoY{#k#==I#3gAuiLe3B z?1>;XyG9ruP27rTrTy3t=mNK_+5Yu=j@U_F4+34FIy%C`Wr!0YOp0|p;oy2e8xak!R(9Z z#oNq`OLXi3j{>H{0QDvq;5Kj_I7@XJ-7ufeuG!X$KtqCZr}_E&^z?mr*3E!U)dJ1qvWY!He+VEt zy;dVd9l4OL@@70E0nNKF+$jHfg?gZtZo?rFc%E8SyfAk_OF3rPKHezx-&kXEh(7lX zRP^RKfNn1$)WnGMSbe-lv~E4l3lK%P{|MK!ozQ4~R2`}Q&}u5{qYTF#2NOu{rdK)sM7g#l!2avGt1y?UkG zr*xvVI8QWG)$s{_ zeORP`HfxUKkVhlv=)WB!d`_Z$Y~tWb2VSPh0$|6U7on9RC>IFgQg`ILm<&W~kx)dB&55?b+G8H`^L(q@eA=8KlfYnf|DrVjNS3%~@aqCe4 z**9M>_hvVu&02!ZEMKRk+NI)XzYE2tnkFk>bM88E4gwIw(HY3Khk=dxGUb8b?Rhc{ zu)2;a5^;2$7&6J(=Yc!KAy9V#z?~Tctxee z7lJ9Li8TU5$0un{0CZRM)$sOU*YtkXb56K4pi5TmSs6{h%YrBYZ=?C_4e^RY`Svm< zf=%ODQmo!Y{fp1u?6eUaYvmMXq^=KZiJo# zo%vQQBb4y`^zsrujrt1kRygdQgS080b5*%&op}{vpyamnN}%Rgl&D&o!yy2kRYQ8Y z)*ydnIpgYR*hKJ>GRd>OSo%B*_J;j{#h(}M8FeIvY7a)C+~72G&OKu7&5V&lV?02?jMCw}T`qy{j4F8%`$&bZNqWshXqsd-F1RY`f% z&CyW=`%NlopA_!|ujLem1dO?AIX5xI`KF8X4RT)p-xVP!nGqtShYK(9&!q)!(1BVw zXVt0{Pmm5677_4UfBxc&=wNt!JQ&iNIXE!4Ah}2#qve|fWxQB)wy*xys0+;@Y)0Ak zG{R01+cF6|g=|YE9FpDaLMZ$Xe-Prn(x)(=J$Pd}EZFA3nXG*nJ^|LY6~#UymS54< z99VT)QVtnbH8QIiu|f#jt`)f)S;2a&$P}!!M1#dEZP!|A*|H{19)l5YB5VxsCwW`7 zpS`?8#H&bh6pUFfeV@h8N)}YHW`QxyLDr5e*?bi?g3U003n5i z15s8)Zeozt3%PE*C+qhOF1}d$TG=hg<)n=5c%o6tZL!s+fYx@QQyYs8#!z>;9NdvH zkh&{!EBW=Ecyy4<7>Fgo=vRZ{YE|U$hdLc#A5b9m&v&G6(l#as?fhIokzQ5-Ds7Zl z=uPdW?7MfyI8=SChIr^5a1vMh(aA?_>c@?e8~?%X$8b(%U+^MNNfMwo&oa<|-LoYj z&g|rzZjvV5%=4)_b z%vjRO#lHdlU5EI`mFY}}T7@{AxlGftEdw=@EWn3hiJrwEY?rF;{!XJ>vQ{P#UthD) zo2|LkN+A-+;Sn-`o*HeVGOeMfw7Jr_ljwAsoo&Rlmmv?bTLE&A*mXN79xC{J4joN{ zd>%ZP+P$LxDpn`B#dM`c|Eu(kI`@|CFQTK3*zCd=K%C|JeJI*$l_DJpL?Lujfo|CQ zL)$GOcp{8O^!JbSIjO^oyF1DXq2b24?l@|1DP7C&TDi#d?Dj$n>9A#5n`>> z^Vy9zjkr{!XVut<$8ZN8JRYg-^(SeBnK`wMILB}$ z&Rca5n&yjl-;TRK?II3q`~@KmB$`}@yAdqpJ8ihZ%^=mz2@HN?+*3u}2%)YF#c_^d zVA-X33M064Pan+?=-k^DE!YHPZ8|GOeR4nURH^L4=b|n^>#7jU1|U@QbeE+v*uc*a z%~Lg=k_<_XU&FH9&owAD=B!Wk?l2yA@$?U_pm1`azK?X;=|+>400=a|g&Bxg7w&3E zpokmNO_%XB0lH^`l-pjJ-8)OKQhdCwE;E{Z%c@Gmkax-+ZU?jglYM z=`}KXV#H9X{r2~UCb0YnxKJ*OtO zs0?o5QV)vuQc0d}gF+7h8QS*#kgq@6q|~D>rKXn~6ngj9 z@j&XZ@|K}xOm7WQv7U~AC=oRVjJu2>G>rBD`ZeGxXkEwQnPaaZ7FnbQnwFXd4T{|9P85i6fID)cm_~ONR#D6xlpgN-o zJW7!<{oRg^BWNw-ixyM!%h7OuaB_SKzt%QTGq8d!h3n@N{^#yXQAeuN3+G+&eb2uB{QUC=(UatHUZ^ef$;;^YXit3* z;?QQlbwS?8bMr79gL3l)zpi{j_%Pgo7Y}ueM;|I#{R?E!Cq!5!Ts4Q$#Y6tB*0#NP z$bn-}Ub%&saGtG=%q-0rd(j25EYlxBS0hl^fFKXCiqi~I zI3XSA;>DNGkr~d=qEJrMIJM`2uhiIuFUrXOFV|{z*Ge-6$^nXb+)pKyh@)TZ?bzsd zo8>ot@*Y_^hNI9VC3EWDz@k$IQ|FDOMUfIz3&KN=2ChS5jS+1c4|=~r0fMz&p2T;gPkNBNpO z#}d0wT1p1+njwVB{!Y1i5PQ~C3q3W=?|G~#f=t5;L}}_0hD@w1zeWsfC{^)aNo%k= zg2Vtrnqm$wt-di`YlE1JWjAr1N9?dFH1x<8C*qaeh)ggG1vAfB=~$hk$BZ!Nm~Od7 z$E;w`B9|bOjv3~#GxeSEV;`S@WTugMvz#aAmd<~atZotp#TdUH8D@Mw;&5!31Z4rH zBn$(lIDAzn(m3?%n>*m3alI`Qu}r_HRS|yYti#?4Bet-^d&6PW zKRep#wFmOOIGYe@sS^@@=hVZUU!*%baaD7sYruR1b>S^(hKDCMV17WlNdFj)ypxaj z_G}=`2ofq=P#Jl1p}VLGgL|Vs>WzM^rA8$_;N;_j4az!bEbDZGcAd7g>vV&5owl^= zY=d^4wX|!vw?Sceb4zIlo0Qh@o_8O--%&Hm%?K;Uvt+W)n#L|ZY&1NZNaG-MZ#bH_ z625YGBMf`eGF=1LNj+Rv&ty<}IGyV8p6;u}@F$W`;tT@#r<(K7SF)l>Un^x*AGa1h z4L^hpK)a$&i_F!b5+Z7QfHS});@&?JrZu!qhbIUzd69v)(kC`FC9aW^c7YUtcFo31 zJao@a4=Hs5vXYPp%X+uqLl4Kdzdi<`W!%`;ANquwiGy2Y67xZ?v9r z{~4KNb#gd_Uor2FY2rp@q64g|8Asc;|7er;AMEY_R4;J6?F$@l@&YiS>)L<#R_#C8 zw*4oe_WuM8Jl(c|r<-&zD52DK@DG=b?LTO4|JkG8%c(>q_^xt#p6Gw|}dZ=ImhGW*!8Z+1!Yxc~IZLZTF(H!_NIU z#E-WxKHjz)$l1{*l|rAiY%cZvvh5aew%HbO(6ofLG;!Nq;Ou0Rv9(v%h`ax-IR(#i z0u?&D)d(v#69(b^t(lu)$;OUOpO-ed%oDsb4Q?vQC@Ib`?b1uB9Xq&8a5~e;<6{;* zyoZwZ`j0x*dpfLO(2DPLJ$x=C$w8M{MNcQzrv0Ki&1(UkTN;37;L(@n$C3${$N$52 zOb1~~gAQB<$Cg6z*5KvzV=j|gJLf@&`m7x-w;|Jk%d1u;JllDfqz9HuA02c%9f%J2 z!#7f}`%-@1LDk_os3SLXSq!#eE%3<-@)f!`%W@9#nG=VuKszj}l$-=Xrghuzd z`7$uPfA4)Q$rBAjBZxi)DXfQRV%o*Vrc(=><4C zx)$*J{iIE}`&TOhPZjZD2i#KaX=XQid6Tzi#;#Y>93E4%Bc9d>64OtZ)i43KjiGN7 zS~`4FDztJt={3yb;!0gh=Vh*)9IB`V2ez=bwapkQ$bF`_AFfnYpZu7vD)b04fQ6bn zb}6D{B#KRy@%YLtN!n$69jnD=d>c*_4!mqMO2*J<_}r>lB?7_n0i zS{jK_7e;?4-iKBfY zGkxQcO?BrHD5b|WBQ@Ms&w%bxqV6O6dBkIjEgc*;5WZAXo1C{0zWk>v1`X1J=0yW# z6BJsZZSp#)hQ_sy#I;n@cLoY4%D_-&Pb-V7wGbS8Bf#C-v_}6ll&&=v&Nm&cn@*O^ zr(vr`tP2A{(OM+H>M-d<%=*Z&Ou$a6^oXHko$T}&x#f|t62_+NM8NtdK6qEctX1^I zZ+H@Qd)9Ba1Zge%19!H=gn!dhqPz9VTS~}QGC{VB+ioilJHV}C5Q^I#AT9Us>}X#I zSZtIt3yP?W-!qCTdSj}fOkg)NCk(alBf-Z>HF5S?T`<3CfpsHsw0wD%CRf4ZZ$J|g z|F9>YeN=36vtXZvGGLq90vu>1N8hRveIT?rNuBg&id*tix-H1#!usl{hs)|mafU?e zMJRjqS%-l{(YodoauEx3^H&D|A7ZDK&o#Oz2Ndpuo5X1nLVnP%Xq4Rj#rJ%$9t9)S z1uyRV?D5kYRi36H>b9zyz3s}tZxsElK5Ms0%6sK4(gPL}$DZkr8#)iG4y$HWG17+x z7HPU_e7Jc&+8?Sb!^7GH=611Z>?%p{^pAVzapUMxZL2w#qeF=IN7ipaK=FXz7kIZy zc@}?G+p{%A$%#1@fl2=WVGn>Gdm4X4)tQv=QMS8YsI= zRAZDuQqI)T5m0};Gp8s~GBg6WU3}Og zPz23wEm0{a9;l+!(Lx=~RyTQZ6}EazeS8;ZPVuvFdP_BF0k%j$w7?o(WwaFCk4i?o zd~R|w)LVf*tbLYP_voQd;FLWV+GvZMyO?09yHO4g-+-iyo+YI@Y2uyayH!C z?j_Wa4d2;XJJ?Q;ttA()d4Kn{sjko>4bS&VZV#M7%!l(mLju2JbOqO{J`(J``wuJ8 z5I+JEXQQ>j>;SL!piDC4(T1dhwmq<&788ocSIH7g+A0Wk%tYO3?n|77$>y9W3l!OI zS0hY3=+0Q9a(e|x9-^D0-s#Kj48hQKo5(m{qDFh3HFAN5=Nvt(zSG|2KVI{g}mEjM(8nfKaI7CT0UHpQ0-yk*(ASN_{1?m8oDf}`TJD;H=%^z zTeWp8rfN?5sh(TB{N10Yjl@tqzGPVpWsB*LK$9qtAg$IUI?zyplFrlcNo~%~KzH@* zr01L%c^4#&o6<%w*!OpnQ*HoRE~_F(PGtydlob|E`Rf4vWow|c#JsSwI;xuEuck2W zg@)?%9h+8Bs*eV}&{|X7jZy!Rrj0#-)n%4WRln|R+z!yp#!+Q>R4OYO@c+Owi?Z4d zYtT?#RgI}w2Gtxz?$_}G4u5H}AT8S8ZCsEjZMt5|Du#41RE3c=&ou_(R9(XpUp`lT z(vQZ`j_0SXP&E=UNKwgsp?0YqKeJI}a14*)@fGUD=lNAqc>eiO3W@7|wbGdEBf2E_ zXS?#ApYv(n$-K4>cZ2yp9rkuUL2`-|=&lQ7b>?6PT!GRdL1=-gKEQygc5zKY!VC7Y zcHeMo&OFf02ikItvqIDi z_6#ux+Y@ii*q8;(0tAE70M}FhF7r11}G^IY0&;Trg@guY|RGdcX3Wd&*?66)}hTo zK72^g=Cmmr)10J;^8aBCC<3)qs$);Ii)WczIDwo2``PKfx&)k7IPLy(oOY7gpc3_^ zbyAZ8;9M-$(Rs?po5!H2_5ve9uaa`r4pH%>XxhY}WW^I*X;7r*S*0XF$lakBBVS_+ zA^{s+T=$~1uuZi|QsSmVLF{^G)f-3m#Wg^?mnE4;WO=^cO@|U!cp7jTCzdw+apP9f zW0gkwGqYf!9n?@g?v6`S*P8B)Nw&MJU1z zqkeVQWVw$8sC2Aq<5x&iq4qaTr-P(w?7cDctqcJ`j@JND?F@KX%ZjW5QAz~WKCtEE zIHVJ=4peG4FgwcaGBGQpC9%*<^mwm2?pU#;#sh#T^*txz0 zlL9pCZ65H$K$aK&T8SU|Z*1c~T0{l&!_C|DN)bp3#48%ONe7TR4H#Q4)w8lzvm!|v zyM{W(+I+8o#8mzN7cXu1yo!Da6_&f|mtS&v7#Rg$yi^xV6X+K;3cvoK6Qdf#kZb)? z)~G%>-Dwd>b)jOoPH3G}hqx^m0kp?4bmL#A$zq|bd<)h9qQJIK-Wz(fbmK-0 z@2RTQJS|X9L0fb-Y$c-vI1A9{La!820Mp@jS?>ryXjgYQCfH7{jp?_2Og| zATm;8x`?f4Y-Cwci$bS&lzY}M|()#)SGJGw<8({`h8)IS+&Mpn%1PG_+z8(H^LOCMz2Q;RKRUtwJ2BmNWFJ2|33T74lq{jB04!|kAvZb3 zc)G?@0svhk*$A=)ljsr4qdy_plqyW{CnI*LSVR?wAVSKAXGE59_b1<%LH93fw4md( zK#f5JdceL$;n!&n>oLT=+sp|rAV@RCzja{ThDB8MejMG8)UKNE5IH*Q*nj@u<%6hy zz+feUhJOC&!52~g&|c&BKqOOze*Ms~Le1!2aO!c|DLdPMV9fGWiD9bul3%FY7kY$dYh!(Nb?GWS#(l``e zIfrnCI#Mo0Fa3%o1k3qCh`ORcu68OTK-4!= zB?X5Qr?Z$rrAD6CP_K;?)~h+au$q&k=rnZWljxoZwgb_J@2VLWYC8teOVNPUb>#N7 zMLIId%!`eBn}-0(c-|0<>klxz-;<~r0IvdgMth3{#Lj+aO|ih0+YhNKxlR*xoC-+% z@(*w|!gPEPxvm;Hd|Lqd)9Fyb1*@U@pLR-VXkZG{c?v}B>kVPP%&66~svK174&LB-S>JI_2Jv`p&g`DFr^CE{x&_ggbelNZ)drf3$ zhBFlA&e>6q3AFJu$?n>&YwrH+2OUE(Vy~$xwDmAGbfC_Xo2ONzQVOp!Ob`Vc(_E&+YIG{JGg^a@Ohvw)&NR8TQCD|QXP(=eXJD#j7;Cbt{HJqu z_Xz$TJdG!}{nsB8{ zR-Z4+%X(DtF{WJZM#q?LiGvb&kdM_RJlRBj_|MT!w2PbkAL3fO5N32R3rktzd7icU z+E8>+h*Z!5Z{Vl`7=$4et+3sUOX>5B#IKAN(D&I$10;0D_s z9<;qhbU%uFa@3+OEJ)MDt5}zO)>iV_mL(7OT1tkGy1>ZB&lGNLJvHhx_C^5KKVhd8mhZ;+x90jW zr#Q#`rpa5;xN_ZZ)+M1+={<@O*r0T{sy$Y32~gS^*df+C(V<@Tf0fhl{+{|~*Ba?| zLZOvCO0lrepkUUJ5ZKb*eC<|WLp}zR>;3xkuY2twEJqi!F|NR00lgq%6?2;tIO%Sz z_s|Uw;j)2J<1{0PHBZqng#&ztt_X~|dLj#p#LxrJUa_O^0EXZGzM!~)DJ|4A2}XdM ztJ}|gtOj)!ZqNkA$WXEdNJocvac~vJpzj2*Xv3jYK$AZupOTQBH8aQx)WV!Oe7}j9 zAdVIeVYD+^wTGZ~VRV$bhSe1j4F_Hj7wG$hs6x4(gYhWD;v1&1Du(W94>spn0HFd` z)!}>sP+!+4qC<>sq%X~`lR&yYUEiRfQIRj+1cm@z-=HAu!#Yc>p_m4#u_=-!&?^ya ziCZN-LH{F;8);oVF}8C>&-f+=iXDy)S6DnN6vJb7*G#dU(qMD2hQOg2XJC}gfLc^? z&cu^R8W07{(yJuusVy)@9ZEWbsgbl^q?1_P*bAMI!3V9^+hQ6o(l_{Sa5-IE=h?MA zgPS*OMp4JhWsm*?%h|YyHRGT%=vT#htfv=Yip~u&r}O(LQEl;$WH`}r&I>jiFzEDV zX$T}Cfs+$<^g?p(Fo5bXUWXGCmq`wSnRJ65urzvD zz}8y>5gZs@W`Os|mUH8|n=k=vRPf43g}{v-@p_h`2M%_AB2=e>)DVv=DMfX`tGrOF z$O}dXHTmB*;;Xw+$3wMQ=-JtktgbZJfP=l(U@QP-7CMoLaKb&!LSWcxUAFy+EcoN~T8 z%6$>eomuoXFUMz}eSC2t*`D4e&7qaP?(R>2&=mAvNw=0iK4>jK=W`nhTDzAmp)*j^U#B;Ll8$p);e?W#_3IWo*@pGIBk zKA@TU=}tGVr^!9<=Kf@=wS2|F>`AItZ)V5^o@?8T*Xeibz2VUrc=c5oSH)Eh7mkNl zv8Ur!Rvf1UAHbHCUY|hpNez!h+~hw+XQ`g65+)UA$&V1~U8`~+2o7Xj>O`zw`Z~+6 zOMkU+$>_`>+C~AFNG)6)i3IA{jUK80o@-zSx>%QS>JXm_zpV6<4%tge+*$wPFT&bu zmHc@gwB%#Y3xoPGIEJ{u$yCCM4+8|ZtwEFkyDHt=6C!P{lgCP_yv#?bdd*+O^DDqm zbyQY?a_*r*c%fcjy*oKCKaP4o3<2~_dK$=AONYcE>C~v72t0;YcTs8Omume@?%$-@ zWDLU{a$|0RyK=Axzb$ev!5=nbl3uMKK?D&dQx^B8C}dZnkezvp5}sy|AR9m~+7QlQ zj_c|j^w(LqzqW56^Ly6zQcc%7jK7}?~ z2O75iAaJAO?|TPr-|yb`4Z2?~N`JenaoC7nI&ZcCqrL(AxlpBN&1vNg5GAnq;O3|C zl}+>Bt)zCt_RA0^Eer#b&SX66{UBd_q8D%oY0GFhAq_%6rZBNl3#v)VnKo&q>%Oc&60X})LT{Yp zQqNi89p#H5SPaNp3I9Oe!2vXNQ?*{1nKeo<$x^C!sduv~XU3j;gYH>%fc-I223#_p z85lSmMT7o-D2S*f*nOwd*0i>bu+A*Uv&^ACU<7XO*I)|+6v(o^QvR}Qbsd@8U}*i$ zZ-%Uam*Mv%X81jJRnseDy4S?>Z}R_`Hvm>c)#2$fOKHp>lPirMRu?b`ZoF_#cHb5P z2Nbr27yL(3To}dKWW`RTv-xf0*Bus(hF3DMRcz`nHBF!qsc34Bk%yp>Z%#^1q zGCv(2?7T&gYD29C@j_%G+dK#vF04p3?1EYn2hV+`AFqo&zvLde7PPj*e}HZUWq2Hd zj_HwZ6I>Xm|2fjl60VPj%3^tytB)H4JtVYzfz+ka?r_g0WIW$PhDbyzF%xSr**g0H z&Ka1ZWxWBk*;dFmZ0g%Wy^-E?<$2h+FOK2;PQ?2i!~2~C-mm2~Xh3b;c6`cyRfWPoUz#zyNz!9v#Q#D(hG&T2c@wFW+V9T#c5Fo&^FGtX2r$uGdo zJR4xVW#hhe5pC2>kQoV^6ve5ahx?rdhw)cHfi z!vVs0-u0-YRyFi%Y?`zWO*#-w+J`0`{N{|gyMNS));}|N6CW!H)YECX60~_Wh<>ns z=w9Egpo^&HuNit{Cn{T~coOGXu57uL>bErNN9igyMA9K|23D(gd}Z~~sYo_xlmOd% z>BN1$jK_3rQ@b*B1NtZe0iXU1)Y>`X)7L6(ES?n=;61r9}I23O;K1gffeZ^GhJ@+OijTAMC3~pGVJ&{3Sf9Cs8#3diO&G zys@Yq5~FpRO=KDni}6BoJUBV@@5amV)q_vHkN?9H@DkQtce zc~P6RM86ub4$)?*!vMaIJ|JcdvjoVXVuN*>ff%xZ4lr;=I-p}&j+wVq!|O*V65UA{ z%yhfR6E25N!YMD1$;fw=F2qE$Bc-GR6eNBcV#d4w%o%jgrD$iTVfCx#5V;;?U$hM{ zVq~wOQ{fkUy{>fas_?Q(WYGC1>OlEy}#hxgC( zug~v4%+`Y)Ps3R!jeh(#&kC6`MH0r;Y7rx$BT8OqfDr@kMF!%+ksz0`>R6?c0cmMI7HY9P@;1T%TcD;&z?&UDj{t;5-2 zQV!i}Jg)B&Cw%wleP3+e;w8RL7Rj4+qI%BzEWx~S@QDoej?I{=@HKa5SMQo{?1&gV zYmqOYNLHK9fPR+r2I?OGML@d0?WQXbcu*vcKNB$HIIGDW_gb7@USh~LM|jbtQJ!!{ z44hy}uh75>LI_CBs7uFWMhB?_*-gSoPlQmKL$aCSADuyTX+Vqve}fXg0YIb17gVGQ zeXY*WJBX3MMVJj=L9gDV@Uxu}~}=2wfI(CVXZ z8+c9OyPHh4s%N&GgH>BZv1I zdow1ELbKTGv_b>GvP7)6#no%hAEd&OzIl?&*5wt{km=vx4{>4vJ8k7_8aT*fr^$i9 zZ&mKVje9%KH)mdYRW*DoJh5BK2+2eM37+6P`Nih6G~jX^?43myX*^G(&yskx9UF~{ z+r%&g2JUEQB?zs7@SYnA@57D+HGX(RmvoWLRgab(7;Ad3dWZtR9F5*n@HAE;8L*e# zw@G52uU(xjb>dw=7w1%@-O{iTOSX?{cc-Tj-n&zW5?NXnm|3n@Kcl#2No{K65qhl0 zgbt>@4nLY!oZsAnzS=9$SZw0FskX#XGQhUfVMHWm)@h9ah1m9dHOT?L_*qCTHFzpg)R9ArP^EwA{Qwz-%RnK~*IG5Y5{SWkcW^49lUC-=0rkYLCY~6q zm%Zk-Lim)ucj&+aI7A-6;XwdzEw%~GNFkxu*1eSOSjT6N@YX#CSKad%B@ky_!BzZIE$JhAj}epi6g0N*Lompgtyh5pD%C<2B}EZ0QV^I>2kk72 zr#T>jP0?p2M;G;7zMwLqZ<5^bc-3n+t=WYrcipR3{ERYUtlrn?A|Mm%SJqUnPk{Jl?jEi^FLHj$YqI6= zIX{2#MRa<+H#AsHNU0oLTnx_7;WK7+7&=3~0fjwHrZIT>qZb%Ih>hBtJs5?&OaLkX zn=Bcx(E@e&YubcRhG(acS9^M-X^2sEIgUDL%rM&(Ys@^s2Ok(`gMn8#O%G^2QH`T* zYkatEjpJ==e6($ilWl7}->^m|x|P5n!oLVe(AIFER+Eya+3h~s2iszQ z&xPUKq;x1$zYg~I95gbqZKkVai<~#X%$eov!YX?^T@f~p176^3oE)6}UON_u(=}am zTzk&j@4VkkfxVi6V}I;`ds%F!DqjExdZcHBQ2;<_i7Afe;a;)2Vb+yQ6*xg-9n{Tr zZfN!9o!Y~v8rgDsUt=B^o~!24K7a`svTQP$w|v1{jowH@dST*u6|;u zhy&(+qD~WPmOOdhfu3TV7UOm5P97-R_nY90@y({9NBp;%J1>^;;IV3z`YcEvr;Jy1 zspXu4g*y1v3Omao#s=_P{q^^M6Y<`SiY`sqk`0A_Cz?P>vA|F0kX<`3StgW%I$Jqnfay*-5F`K>B4d^xBRDsCz8YrIKy&!^=w2AYG*VOzPDtH@RUgV`mX zv{l7wJe6gjKX%>sAsA<{MKTut-@fM`k!uoWo;`lr9OrrBI_$yHx+v*)nAwLq!%;vMiW-&* zLVskJ%yFAYgoSMo=fL9XQh!2oirb8zuVPZIiu}q#Dyk{8Y z(MQqA5F{cG;3!u^k4|mjB?A^!3!gK92nk>?-N8`+q*DaRS43yNvM@lFL@RA)36thV6x+#m1d`swG^= zx2&m*Dt_OyQ^*w43_zMO+zO=eQ9rU~8TBstV>h2Vpa7YM%3 zjgpNeW;bqk9Wo0ch1|B-4l2`mn#DzSYcTbEqtDv2WrIhfor-tyrJ*+0+IKki#z1EalKAeU?zC73&eQ9-XO<&$Fxi=C-^_5eP3o{*IKGFXan_+8w0i zr$;L?FoBknwbs<=(QSbPCBr>`q^x4l5>3_KqZ_Jc$2gBIY6a2@=!)M$M)KW#LR(Wh zHa5qkh%W&~k|iddC0tb(PhUjHLyNbCvO|jrJ71}1Y(cK6GS5oqG!=AdU4Wp2X1slo zkH<+Nq7n0$#{xAOUP4YdHwX~e`YI?Vr^$Ak;a9D9De6ra3Vs1V!MK>DZ{WsI)KYBy zqz&oq;B&}SoTn4~8RkT90#_!hGN(Q}SIOHxRqvJg&87$UEs{>(yw%<;ly#Ru&6w8NC~z!MsFP z2rvZEjB!j|Os&$U?)iCiadCkne3e7hVRV^{q!wVo=2%c11CIx;8pa3?dTNQ7=jcIA zU@7W(I>*mEe=Nwsj;{n&zfnCc)fqa=WQfxyie(TSzGMO$t9_{-o(`!?C=v%eT#J~l zxLTDu%1r?XQ+$>zrmI=E6pb5B(YTr-aPc#>;K16=msO90NDPdjx`Vy>9m{A>ibE|! zCzNq-rVN@QnXG2jsK&>8NB0gjN#pB$e3jh#UxBWQbo4QF?&MZ1n`+?QkM_w~|JZ{m}>2QYwaU9 zo3ZqVdWwWB{eX!d1X9aQEM(}5xQlP%dw!CYI2ITN18e8k*!ZhhNc!mg73hmAJ8Z!; zMjApaWUMwb%|O=+y}~E!cB<$B5)MTFFMDqnBT2UB2Qf1X0wa*XzzZ+23v;tl zx2n1_>w9MJT0Py<^ReAM?WvyIclO?^b!28#W=us!Uzj{LhIKA6ebgJBwDUo!gZWapJ^@6X*Ot ze*fQZXK(0A-dYkly7lg>%-T*_0hd=ee}AwKEC&@kMDcyyFH~vAdE$M z_qyTuBFXdU0!3e<=jj@Dl-uYj`6iRNx=Jiiq>EfS$&gxMj^4V~L*^R|hIJtz+7cA0 z7gpTT!J+2Q6SddW(=3?@X*ws56f4?Y@=S^JAy-wd0nQU&z87qULr1{4vG7(4GE;xV zHep8dUi>2(LW=w%I!P@A2zm6-B+ECYZ(}k22z%Ol_E`-d$&SxoGBlDhqeGHRA^~H? zJU(6DLljWQFKH_q9UL4;4lnroeM=BW?R}^^aCAI|rSj-_fBe3#?_P5nysC%rZPCBj zAnIa}yxhuB5rvk*k|+yH?PLg+Ex8hl9|#B-=CC-?ppr ziteb4-oPV-9U9x7=|jOjc7i(C*F{TT=pe4(NqXJT52vxNzEFGAjrXHaM@(d(wounj zZRpjGtLQ5IAJr&XyNy^3J_lyk?>VB|pNMj%?+^9q>_hw^$On+B1V*gse6USTQ+-al zRZR7Sm*%&%`Ky};8SJ@s!SktX6@iaMa*|EbTAK92i7+}Z&8Mv0DmCAtwykU8<;_|} zwWH52HLYS|YbUt0f^i4SWo#{$hR*5Ev}kmPhCx>!Q3SEqD5xvmkV<#MO+vXv-z;=Z z!WL3GA=Rzt&Z(BPxce<%>h_TvbJF$1Mu|g2CSVsOtx8ErOy%$Jm5BrbCVZxgG{H3` z&RO0vpy1_HA+h}J>(c=2+GsofDzr+FeDDU=rPz<$jK@qF09OCWAgrTXlc5kPT91f# z%G#NdaFV99qZeeufrv<-!4iNnBsf$E8n2qwDYQkU^(ks)P;t3R)`Ov2J>?}AOh_r$ z@)fGNTH^mnL!`V=;dq-WR^{ciBfye+PLHk-u;ZeASu!;O{I@E*_@ct ztYb2vs_Zoebe#-g`-TT|E5ZO3C02v1;3lJ^3)hm|UZ7#)VV@jHa44)!;9R8cqxF{~ z6UFworfc5B&DE_{X*Yh>pysk&WMR_(UQ|nVe>)9QmE&Hj5>FxD& znSKjDwRID0JPv?fCiG8#Xk`Q6cZcr|TSbSA^CumhJzD4YLXOVpT(9d!amr%zg}OW0 zDlE+9dSYBErIIfEhvH)|;q71Y?^Uu)Ipe#9e51dgsI|>~zX)s5gSBULy;QA~M7xmaP`C7B~&iZq{uH;9q?;2^qM zMh~I|*gw2^aCzFVHfhNWq49K@WC=+b63hPqYqH~Y4;Eg{n*9Qq3%CKICMZw&O|G~! zjZ5G8t#GZHDM_SmyMxI0r!2z*l-jqK=pwuG*RC}-1kQDjgj+Ihbtu0v;-PK9#1+$*G@t98vryl50WbkKAPenjhIeqJo{=-Kp9 zoaS%oDY;WU9#eF!^(j5Td9c04>+k-Hccqo|xF1!=vuDxc$Ge1(aTFM%qi9!ozQ$*S zlLvawKHO7+0*Vqy1hRK2k_P9gPn#_ivc!ne_DGQ}@#6)=9fMS=2q|#%a%7ZEgWWtV zK`p5+fU@TS_=ds*3rEp`1vg;vc216?A4eyr_@5*E&vEpVXnZmn_CgFV<5FRxxsKr0 ztz*!SFu4``kpihegR7X<(X|6YHLH)hx>r9`zy)J=8ru3?Is`6(52Ms&)iL8tc7xux z?hyEgV7Y*gI7z@<$9Zy1%(h@6r70N?cYoR8IF+(M%~a8v^3>rv?H0G)hHBJ_7yU^h z8YQ>O#8uhFb88!ZL}_;w=;%Q~YRaR{u*ce!6U3u#t#o6V$>(63#Nf9mu~%&siH%oV zH4im=O2CNGJ;4vuUP;JPuO|)ZZ(Sf_ls8WH&d>KoBZ3CrJ$kQcPWIy6#S=<9CEMdW z_hR>rtr^!ZZSoo{yT1L=^9#UPiXIWz*@VImdSW@ehAar#M#XuMg8ZVe1H=?Bep4e=$C!e7T(+f?HP z%m>f7&0`1jTj5?lEYk`+V{rI!qxpCPs~vpi)v)bO7;=j98cZ7gKVGY%Kg9MGrG607 z)TW@Pq!F+yOWV!xQ*(qIY+TU4VM<8CWY*sIV8tQK0p4nOzHxOGHWpSpF!8eg%&E8i zq=AmAv)DE$l3QEOTUn+?M7e%;6j;V;sW-EZVaI$;-5$hJuOzY5(>7u$N6#%(HrooG zya59b*N)TemyU21?Z3hJc~NWgQpkDwPQoh93gJBq#nkp?h^}j_5SnKxxt7#;tw5GS zxLnXd=hY~7INBCykOFWTc|(m`Ug>!>CaP;}d{af^_*)%I)B!QPM|_=>7$f1Jn8~~g zBvp_fs3lIaW(LDG)o=(pD3mISb}+P7FEFvFC&PO+MI_6c?+J7OC&k};ub;#aF4k#@ zlEAhgi6;&moNTHT#bDGKokqJlueEedozrPgD>xzg^*JJPo3LZ{j0o2ISth_G_PJuk zxnUvGV!e8wBp~LjR)-ZY2P|MG0&MC8G6~e}u!0Gn&lFD3)wmkq^_>M09f3FOmx^7h zG~V?EHAzpq_Sh@*iC9+yQ?*hV*r1%jWvL3jun-JW2;4yx@g}ALSy9@AQ@f8WyVmE48+n7bLl5=@B zokq4#C~s@&*x;+KDqLsM2&oIIcml6z8b_GNEsN>2Xa)m0e92KEwX%GM92=U;Og30> zBR}uSi)?o%EX^anywxi8tQVS)PnF)5`7zp2&;qbGpu2T@4+SIQwc@b$ibrM}v_R3T zzQHAGli^yJCAV$l$jo3^3sJ#Oqu*8D9Q=FC|F*^%`aP#G`j`SHIN060t*8V)UY!bs zbdE9&8ja7`4EvlEYtBNmt#O~J#mV(hB{|m2tqP`3VZag7IAxa}S-QT# zSNj+Hgg2Gko}z6{k7jXe3kt(kByOW-6V}cNk(Dz2j@V6z@~;b}5$DOsud>Nk?N6msFKJGTi%K!a?e6dVzsif-h_R z0E70~23=L4ha`)ihIm&mw6!HU}my@g(Ey?oWr;uma3RcT^i&I;6t@t)nOQPs@ocN zwQpc$n@6{s+YNMSXS&FT0eGFls=+^R?Q+3usmqgzb^YlSd<3QWLnB0Xrq}Uw${{N& zRNRumAkUTKm+tM7Z%NPqrM$Ed_kCEGrO@Rm5_^SL|L~@>g`jkt`6$ej19Iu&fXTj7Q>K4=h zdMGui0{=6xBrQdjIOPb_>1L%kAQukrN0wZYsROG4?w_RbQ|>aS&NTTjs@<~}1-bT= zRL@l}>JN}FGRKy{QL{8gW?b!)Xbv;=0kJGD7i)N*iqHdv_Go@s@6Ylg(F=^H3bJRA zEOh>5293;OZQ^Pcpa+U!3jP7h|uS@m7QXd4cUwOB3~l_I{K7n0JBG->H3?mp|JM+qla&(M6uBmyi6t~ zgCoY8oWIztl^Af}lEffQQ@gsFQ`=?A5`_RoYkA@h%c%`T+B9kNvyWpupxANw#+kb`4V6TEyToV{OyUiR##PMUsAj zq$N0_QsgY=lCXF)0mn5$=Bx@MbK@hvS!aEuazSXuito`gIzw6`V`2aq!F}#t_M}^X z12hmXrN3*^ZLjSgYG|jT@`it@k09mOaN^K=!w(}|zzvbAiX904gOD0XCr|q8(m}kG zPV=9v!Rh0EzhQNPEnM>km*EYR`3Rm1>twWH$Pe=%MY~wS-OGZ|# zf~u&O=(RxXyK#qXVJ zVxQEZaPMjXNDST|wAZk}os@Hj9gUaX3y_o!-V>-gFO``yWU{yl!yRUva|*l|)O3|e zO1Ie$QNcA8w3hf+N(mCQDw9il1pYwk#u-f89hp(HOZhBeps!dD@F4CKFxi)Jc^iJ? zU^=WeB`if$$veezS>meMDEzkx`!qtm)wV()+3o^_y^yR!TTMfVW4#5~-CoKNphNCk z&Cmhlegg#!O(5?tczw(yC9)O4Irk9-h=}KZRM6cR$zAM05qKkgY=pw521=${-#T z9LIHYBY3p43860Uh$&4K_}NB4!k16i5!X!eb%OV+9&*;Baj<`QdM+s$4^Q{cyJ{k_ zNsZrPf9X=`C{w>f_3`w|y9Pk{Uc90D?IAKGnQhskwjVuCP5n96D{5v+;n-nxCc>C% z9Vo%Kv2*(9Yo!XhHReCQ`+wi-8H3zn6X=RK4wf2$T*EoR<_O-~Xe-h)5iqK=Nz6rf zF%(zSY-X<>JZ(_2?MXu>K9$!9AWB4#a;EeiwWE0>yKCw=Rv4y8dwIVAVOz(Xkl}s$ zC*p-K?-e9$>zxc6ZrQnpnBhyKI4l)2#0tx&Cy9w`)biNOEYq~4p-ON!{cf*nlbH7F z!otW7RQM3S{jaznD#dMey0&She2&+%QLT@PeRNml0?jf<04*~V<_b?k0XYS}F3PKD zq^qOSe2S-p%cH<5VcvPY5inY5XSyj%&Tzuwh(XD0W?i|GvtuucEae;(vqlPW3f;W9 zx9Okd{xni6Xp*R8m_w>%EEwC0wP8&5jI9aoXTz&DxfGW`#*lw%C)DFy1UG0;-$!T3 z9OBWZ^pQ{u#L|uG6dn#p4>g~iFNZX>zD!n|2`V_`ENDiquibVlk1ZJ|)_=&LmsW+~ zIQku=dsXTXx^Snh22*K;gc)2#G_J5kJieo#n$R;>++1T`NZBGxKdt-(?*{L%vkZ<{7TC5SyiZ{xM zf%)Tnjz1W45>^JYLm>7Yg*4QH;j$wd&{YxVI1lyN15q7t$w<^$aZ^J#nB%INqsDrV z$bZ5-lrpK0ArD5x-%x3Uf49qo-;elPp+t$3buAw&WxC85CJo^pHH#NN(th*>MvZRL zD%n+)j&yX3k`NR-x+M8}@}A|yI*v#PiTsBA!s@7D+rexFMg8n6dS?alR{;E=u z6S(`ct@!R>o`dyN)d(K&6@r=)KOJaG2UOq7KBs1y=-!Nl?mW&z*ycVm zJn0XmQ+NTh<5`NPz@QRJz#qwTyc%cDwQa|OCb5j0D)BZ>GsRb#(yWD#b)8m==mpFL zT<#3mgFaQ58Q5dC{kiz&p-(JK@@!VGtfEkqau$qdD;{6)vrnOuyU98Rh@;h z9HIp^>J6Qbb}n8#9ZHHZWmaNHN!|P0=ws#4gNT`}T(7OPdx7a`BELRS-5 z{_z)D*8c+Y!aFh0PH1f-MN7Sk$=MW5K+5^{I)Z^c>UqYe(KniURZ|{54BgYc!cZX=Y(U-Gt9>sFb6(~iWC;#g zvjeB|RbJd^J_T%cg192@LBM`XGU*l8SxogAVcDob{Z0dIMHmr8>?$@qqG!W@jiH-& zfA`%Vgpj@G%Xwe{y}F<7k6;2RU%4gU{{|H0B~pUHeZ2rBTdB(Td+720=-`b!bXeZ~ z%|IR2okiuUdhLyn+|56f93)IKC;S15*`Nq0t3X&SOOBe}DN^S%mq%uwpHZ|O_1M2eM zHiUntiMN4L9JQWl>^E}*+&V5T*T4$^j}Pt}0hW*&XR*2TICI=_89Yidg2}5@WH0(c z8IJ0gK>$YG827z5YE)67E9UK9dl}Hcjhrn z=QXTBqmk2}?!Yb^0A0{e+8{WN+u9Gt)xwTA|Y7)r<;;E1s+L7OM`Z5$urr45x2f#RbsGC1pF524r*3zA@=FkJlt}ff{1Jg zr?07q=^kwQ}xX^W7*@{GmC)FBd(KU+6UbshWQ(s4~H7a=~IZOW|@(vD`l@n zES0;2IDordi~6K)?{H^OR(y6E9S)-(ON&PV=IU@SjieI;Yu^zsTTRP&O?%;6RMR~T{IPGuUq{dBXEzPFXUhZzKYide3>^~y ztL>ZD6FHP`aR$zAk}TWBwfi=@NhXs)9UuC_TRQ_)kDaWV1|0fG$PYXFObXM!785?? zLdK?Dw@hNh%%p21cHWs!N>%Hiaiz~+6I1&9weh6SUmHu>8%HYep&wCURkB{>;ExzB zbIPpoZ=8^Tjbs|k@~ny#c^v^VIj2}xuNSxQ5ybz4_$)qJ${W&(dBQv zThm3lEK1x>lk>UmQZj>-vvt3K4DChWDJk5w5<&mx}4HrQ2MX)1HExliLyPOmm zbTZBf7stfi@tSeZUO_cA(BAsA$iOP8rQq@BvR1Ux*(U3Wt&-eBL%Nm20YJ+c`cQHjTK^;;QTtk&RX<%4I+&=yHvFKUk0w~d}39C^}cGdmxl}l`LZe z$1j#x&gHae;`miTBHz)~_qj^(1)|?NZs7CnSuXZH)A?dNt!(ng$sI>FjVkggHL2*B z0$Fz-*PsZsMFiFgJgNmv{gBJ90_-m}vcIQL0B*y)1zhCjZo@-G!_l3%YWPv19&p2YGP+Tbznp zc))_^4bp1FLs4VMyDU?f92t=Z-u***(N35hOF(zWQS z;V*fz!2)gm(Nkh%EX=$?#Ha_QB`PrTu8gkX5j-O`POtahQ#8TTHh?4++QFU_eUURo zv7zy#`yxNLNyDgHrfaS?w=|vs@nUL{r7Gjid{eC(2pVbQK`S*ar<-&w z_8_`Rjh_*k|1LHneVL6*n^{s~UW?1GG-b4Nq5(LRlKv~n(jr2}Cs=sF4Ar>GxLRYj zBa2sV`?|sl<#y>SvM1JQq20g|H&6w1LMsHlSip;wa!)dRMJp^#LIe<)P#Mv?!OFJQ z)rmY@hDy>Kikl*@KeN-WS%2UoE;ks*6K~t($%4rZExZ@!8(1pP*C@M0AZ`%g7BA6+ zTohognFUq@dmid4$!X%?pi?SKnI;C|!w5X=HsUezb#{x9IfM22u+;*0K8LQQFvsTz_W z=;(eAbhPCIwRN_!Z^!rR+wt4z+sXaJ+Loi}L1lYH1RJCGkdMXX*BQ{aEMFXC{rHQdYj78&M zWdrYTuRBOsehvK#f>`-Az|mf#(IECC^IJ@n>0KwnqblUItNEza_m>)L`qP&Zr^EU`utPTsk+ zCBE3`NrEG%XrAgGB{x*_?o9NRT+4%F=hn3h52Q zhgCP(wH2})PjV~jbqQ=!W&N`hp|MrETBXLxc53Tu(m=Ynp1Sa*TVbyQZ02qO0_-gc z?M(qXb0(Uqdyx@>$=J69|7(?Sc8c!@nyxFemGdgHw> z;;S9W);3LL(YnUW`$D#cGDcsZZynQmmEsG`uu_oUqP;=SoOXlEWD|;9MgDb)T9hBs z!{Y9*RmGi!TnVjv4E-1~+Esxfk5JpoYGb@Szg=0b0} zd{--I@W{zV7!HZK1=%~9Z=mjJg%(@GLl5WWBHnhtZE1_*@A6ceR4+*;H{ujUT56#O z4>ZfE3xU!6*WY{Vx=q`VE;I6fz+qH%>VQa?yX>S{A??PN+C*DDy+1mNc23TQXvUr^ z>*vQ2{HXi*lj!8kXe#w9)wHW`?}2L+hSI$JWTZ??J=pKs5D} z&~7+DG}`%5d;Qi=x2fH7#?7nYd!b!cV|@3h;Pc+MG9Z*mS_$Gd1C^o#J&7M3jv5R2 zn)_l%+V0aEpRLU(A;Be>!eYsUU=3e$k8}l}tV8MFC6A)bgmLhSnW*0Dl2xc>DF?6i zp1Km6ObztD8-aTH8lk3>fnmm|Y{coLDd6-Z9Bk@UXHX&1`SJ`YJFdP-vKgFT=Noe3 zO+q3_2Apb;T>N6nDKbL&i=`iI;_!`Md+mo4x(k+!IeCD=r9=GBK|_S;aYuAX3R3C7 zk_;Y#$Ed|H>6P*;uEm%V6F(}hIeY{YPTOSF03dNw7kR2zoT~il1fteLTzfdw7=dA)+L)_%S*V&#H($YFb zayZPICpXb85ttI)6+0~PG*;oS=i#Cgj3ccul2>dhczA+Csb3H+v9@gTWLou_vkW(Q#TVKkt}SSz-%$lPA>*Wjob-$)$g zBV<`Pl$W9FLn^T7Pwl#(dgDl)*a5lwN6f-tqRNbDS8mcSW+?ETBjOQ0!U6FzR@H!# z|ASc>-wb*bf@pjA3E1IlvWCC{zck;1iVnK=H@p-fEVhTY0(%8!y;jiC*~2gZUIh^C z;(3JFJ^_N4MNV=Suyd@Bc0SxPSucuN4dtyv@qE~D0uV$!+c-q&zx@RR+ph9rdIjU| zddiQx{B|T!L^{Rj@nhB!(Ld9W_>=RZ6ouYasd!VKX2OKE_# zVlO@WLxQp&5hD>o-AUcU&lqu{8arBsY>dE0b%ngVRXW41Aa)XjWjG$3ztDOfd`piMHen@pW z)~j1$at%Yy@j5n`Iqb?=@2;Hg!O4BPqG4~?{CV%@NfNYg^C~Xaq3a-gJZ>1ics-`z zo2i=)d*4neUA2pMNg;($2ZR;>kGVibD~;rrS)&c}{E3ve)%;k}A?~VxAKo zMTXkHxYlZqJdp7<4`T0I*NbpgM?oB_s^LVl@UH(ir+m^0p%~6OHP(;6Ns&!5wJ{K9 z`Dvo;H1)a*@GT=);Ho6m!4;-Ert!dBO|^>ak1AF*8yYZO;5)nN&A=w1Dg+yj*f>@J zwkhHvk(Y>{Ml&G}^xqOV1J-dt*7kG_i|YEeMgru0lf=?&`o4wGA6gY{AGvVLgV&QK z($)Z;(B1^wG;M8=?oC@02^Fd&Xdb^`*G5xi7;Gx~v`YlMf1qzQ)C5eUgM(g#1Anbo zy}2||6oKC3fmd)oKG>$rL|-c z3)OiZ9U0t2*Bpnb^53`}QpE#jM-+b$*(Jsq^P|Ac;vhtW@+Q_gWR^$2YL9BXBAlqq z-hMafJyA#Jr{^Y&=IUe_P+iywk8k}sJ$ii-g*A;)D0`)O6C5%7mqiIZETWIFNbU3Z z7KXRnr_MP z%zhVh5*Ucr;!BYI_V6V~x;X9bhWlNe6zfsEYdby9yg zfykr3*C{4U?L(7*P#CO-Uzy_K_f>S%w-(US2`S|Gn~{Y??$nzYiYtxuK}~aq)WCW8 z_|tX_iO&PNg|`AZX-wj#1V@0QM~^A`fXZA;uZc8*RRWB#Tp)`3&6o}Q&&NtrU>6n< zFrx{^MihT*JlzRhnLg@)i6wKMQ3eb3Tg|*H!cclUw3X7WW)em)X?@lzl zkXv}1c~qvj_ua1}%`HSbHlEJ)ALC=izXJ>WaJ%qgHWYX3=gGjM&+cV%tf`4~UR zEJh=Fmd2TumZHKuXc#s-8i%%_LwjtVr{777oAkj=6I#E+!J4+d$GhM7H3j)~>Mj`f zt8SldCVKhFcvx&os?U8FrEj(2*0ub*ZK?)nH3|?Jy#vLtN5t*?5GO`H#Y6d2KQ@R6xo@H*t$VDAt<5~LZ`Dk7LK1kM)H-!E)J!Q}G-BuN>R!6STk1&|8gC!i z`VC4;ZpXT4D%0G!Ko9BQ!3|rtaG;(-*VP&fK#QGE--{Y>2*N^N&oG2@az5w*RBh0Z zkO0w;^IyTX0)LH8dty-Qw+SFogHZ-}M)>Qr9a!2Z3{jJ762iXKaIhb}OqEa6#`rxe zHgnjMacPZFCc@%eWd^kcN{o;IF4=;Q1G6b%~X>zT@aQnuOoF1>H>;bDJuD3%P_t@mLHXYVED=8n`Ej<9B}M-&2GXAHmfK) zTM2TUDa>u)34jC44xOakooklxHd;Epp z{lPo^q$}ZBHtN$6tM^%?vls{C8keYBP0@dSchZ3Ew3pOBCJofkZwk9}SpUf;Tkx9B zRVhQX)&)o$^`}7IYotFu zZzqJMHD4qPhdjP_P(a9|5ar=z`jpahAC48Oj2E zT|;v>MX~PSpiE>+`U@it{SAD!(WKFKM@HEUTKD7f$S)Oa>F7>p`~bqhV%AD98&3FYw`Y z(t}UhnJDq-A<;@9vwphNbkFMF(7imTiW+s1CZTGG9_uFYz*iU1tUzf8_zM61kJL*} z;+cv9SHw8dz$>oCiACsF1%BL-b8V_@u^vU3D9oB`H~gWK!&xm#tVHq*R(o^UQU%cBAOYD-V#f82zX5HrBgn}84WUVRwIQ3W4hgK%R*~?g+F1FRMLe<>T z69(~LSojt z6+nt{8l^_SB2_b_tGGbMH$^u>BqY(M(!-*j@zYN~fF07zh7S(UzF%>eyT9QS`T9VB zj@oIzt~Y>D4q?Q1j8JzSVa$KlFveQ2i9Tr^CgtQojYF=kHzIi_&X1{(LJcbp&=#PI zAZXUmxm_3zBFZ2LFVJk%PS(t)def;4jDzL4JXL}@^?>Qk?*40CzTc)cTW;pi<2u4W zkT8U<4KgtDCL2MVhaSBPh2|FFyFyQ<+zd6OgN@e-w9RwbMFbfv(k3F(pKE;DH7f58 zU<)7?b2x_7FQR=o{~CWn{QO37zTjI7tx{%!H20Ps&6_5T`Y{Uf3`4$n@C>H|ZZY7&!<#fxSnI?#m~aX z{1m6e>w$&ONtV@RY*;a;xK5cWXqNc#T?%l^%gO$sf@F~Z`aA|x1U8(9AJMn{zrN!# z&3N1-U2HS89OP^89B)r?9O9M<2W4%W^(cFNJ~GY9I=+I5EXw>OXK~#j@1ZK)i(+Pw8W|*VgPvlFc?Jzg+^q;av|}RcDbU8iWjH>eq7s4{rV3H4nTcO7 z6c)48RttMLW~%H{ms} z3wIdzk)*6mj~Q4+dR-)QI!<%#Yw6puW3|GC4}nC&;?WbgOy(O>dc2LydHRz#tu$l$ zc|NOE{83PD+dR4nnd5LTi!5QFFHRNhjhQ_AW*HN*ku4dNXhs}{Hepbpv_20eDVQE} zW-z2PbaU`n>m;Q@ROEbJ!P5@8TG;I$#eCKUyx@QLJzvrD(k)B%9KJSeuEIzfAIhml z_hScr;A*xcRy8dao=QohQONT9xF!De<%T4|RdQr0=B%+;VNC zO$O4vRZY%W@ugw+Tka!v%i5i$F>Ie@R}_KI;&tuQ&1?n>78jVm#DokgI@SwpREln1 zt3M4#8sPKz@7`UKK3!>To%ekg$$-5fC;yUh82GXHHaO5 z1w6+#r8WlL7uCZOT*C66<^tA`vn(k7>J(0?i~5Z@pX-dc{wX-#*C~;T4SRH$k#!LQ z8~37(GsW>Y%_pbvclcX?fN(bmfFv-mNq?$kqbPkx6KwhcSP410RCyWgMw1eK&&6gA zJ02Q?ALJo>DRf0e@Owgmf@12I?~lg!Cr6qgPgv6M*+7N?d?doEEz zD0GTdmtg+#Sun|tv2Y&8uXeOGsFB|Tk1M0!UCn)Z5oG+|H8$1;FA@##+~Hy= ziyQnZl%o0C5GO?!8}yx`7qDt(x3G{-x8!aOI_7R%CD%khb}vB(=d+71qC?FYrX6q! zJT=%Qa~S6}uFB}h!Ni`F!@*Eey@qQ}?nC+--0ts5{~Bs*3nJLNf8I?oHiemfg<{Tv z$>inuz$64Z7T6|P>ouChA|yhsD`ZzEqSX-PZ4`0sdpSR`HUU-8iYZAUDIW z3z|%Xz%xt}6HoX!pJ!>c;K_3v?F3iAp-CJ{{)k>+SzY{Wvk`O6ws7r8pfD!_yW+6a zB0VPVi`K-ap_?RGK_!5F1RUm$mC=B7@cBy^CIZ`vLTsxHX163j5l zY^f-!jc+gxW{?rP(brDC8BEeO10)cEFgiaydmVD3wm^y-VVp}<0%gk~U25-oE!M&D z3$)r~u5Y3-qTfcRZ=OTw?%(E!QxU+xB&)Q-eZw`Jg;A?vFm2n~o*~=_wx$a7#*K~W zK^ReH_HcBfM5XyMEzz^i>R4RP5^8`W-@WZM&)|`!Yh&{GQ-=>1rSO}2G{jM-9+sHzc{nZD)$#e`m(+z{S>$q3|O9k=t< zg+8lBje$B_%Q$P)Frp^m!}v4r`SwABVGzuAU6g6`6fDX(dI3%2<30@;4aQZ_DMB-7 z?w)Hhh|s)kx}ObU?g3^8#{#68i%@pLq~;auu&@E*RIH_{v3a^2!vXsdUOd=A?GYQG zFkIZ2bwz>J{Ed(=~)w!PFr^O>qt+^V_CdrBf7hXiUk%%z>Gt zl3*BEH8J0Q<{RJV?w@kP*_)*`i&@T7@Y*&#f)J~Xn>E)cSN*%v*RhX7H)v(FQM>kB zv>Nu}9b?k;y{|#3A6wQoh&2MOeOcY4+Q%;hW)FB<*--AO`u07{XXf>4)H(H@)tn!? zTf;b-Yv9%Y#dmvEU3yZt4Mmuvj#0?cVm>L!Parts;vgF~AOCE^+cb1eYoH*rj@VlS%(x?yb#Borf&Tc@K zd&TI|`&lv)j%UntO-kOSQ*V_#{|Q5?M+P9G2sB9DSREX@2m9&H-|NAJ*!(AjPr1qi zsy@PG-v7ZG9?3q8kdUw6)=SNAZ81mWq=s}~z}{6ejtt-7ZXHo%AwNE3*TLjD{5H^7 zMX(h3bP|UINFU<6f-|{{$yr^3lTeX(QJfD{3}T7J;m9$E$JD-zUd)`B7J{i_qzsgJ zs><}G)Yr8In@q=VU|JS8HbzP_U&XCNIzpdbOo^GbrHrsFT8R% zbdgIu@`SALFIkov)l1B4c=+;#p@z^<4SS=*@v(iL(fyxi^v0g&S0g;~=V3)pFR6Hl zC8+t@Mb@)S^eMk3yo}(Y|>^r{yV;%pnX5Y!-fqkr# z`#;vn4{`RL-v4<{f55Zv?Ea5+_5)t~&hP(N=Rd&NH@d$iF*^8R&A!o*c&z&y6r<4( zYxbQp3CNE;O^XYHKTH#k0A!tHiB@a~Q3|UcSDfojB3BJm2Ex^u6XbDi%JKJNcN&c` z5vnsOrp#KkPnK%PJi^H0lCCg-#i=rs(*7=wf3Z0j9UZ+9_AUp&MChe~A591qB(X-P z07$(-?k=ZGhruqbO?r(O(AOB{*^bHONsNln4;&!~d+?(g#oG+h)$ z2CK@VisLAq5k}(+9|R0vC7%~pl)^?prwrbG_UXmLhg;!NAB8cg>NYSRSBu+9g=Yl` zpOkQ@Wg22+B54IObMpfXDC4=d#y5$PUV~JtakZ|&Qy(!TRm7IPuTL%8Ki1$?ysP*I zN6^ven*t_=VBx)3??<20ZxOd|iBaHO43DzPxvVs^u|XawK2NVMszAJ*exKUOlFM~> z>v+~yZ3`(?@dROgRYf?j(Cbuu2CoS(gE!hs$~nzv$qH*RawXsVNAJ8Azb`3Sj|Po( z728Yo^uHFuyMjDP^zHVtm}}HEWB}AN_V?!wgN`d z4MIes8|2_;Iy?rHN4wFYfM%}XKZ7tGcjLtRU8!RFyB^`%0dG_LSV=Mfbt^vDB}!P!3tK9HF9Aq5j;Z-0v8Opri<(O2L2TTmxt?RTkWzT z6YildzZIUOh2Wx1rjM9zx4VL@&LM zE^lPObAcOXx`{T1t!@Ta^uV2v zUKy(vrR!V6TASW2MXB3VWwsTi+I*+S*`ex8-5SyWe|)_-r?bKomL4H;-(GKOSWoYc z2o3=YX&$qQ@~{B_uZ>}XNPCoLs(#O;wKz8ijst?!hMu@At187}qUp<`(^Kuv>9=H@ ziYJ^ZbFg&WzI;n$oy^i07Fk%S?2ePE5^=DhQ*EbDHfc7i#{%#HZ?R@r;moPHhe{XY zDOjPbc%yn_!a-$~5KIL3ZgiJ)sah7N2ywZ|O<2Pk%WxmcON(1z!X6CSb;_QLi(m*D z8y2;2etc@~xye!dGJH$AhdzbD094okCzk#ln@pVXiQq>x_eG>@N>G#5d&|@K{z!O7 zHRpj(=b{UM^HyDQ5Ze2wVS2r--O!wsGOz0nE z>KdJ&QS9pOKcerZv}h>h-y2xse6iluG=#)xCvJmAD!Gkdq^c}$K7~ii3mxqV*}v2# zgBj|&(|af?r%dAg=m`zs2Z~LsCPopaAw|o1R~gQ{>yVC}9dR_<&dJ1Mw*4b@$+@{` zM3?ldY|AAzJP%hVDiAsM3}k>A_$Id^PDt&@Frhn_eiJbszZLELrrC9v(C=59g;c8|uoBc?4T_GXH1!Yq0A?1PJoFpaVWx4|OW>D|-_*$m%RQOs|O z4Loh0Akh%=$Fd9m(R)3}a1|g!?SLxA`_U$w$7LELYK_%_`;@ibpogi5&xdYhL%==N zO-r^Se`+?kt@z2EhNLjnq!4NX)Pkq2BMx)RviAy%J8TlZ!GcFV#p+w>~3 zSSWq=T7}Y*-QR{dK4~b5ex*yIccZ5YT~<}~@@Nwq;Ygb=O{Q7seYV$VBhanT&+@Wrl^d$HF$(h=L0Y=>*LSpmc(Z$#NyodQyvq+j1BNb~_`eNknFs(_Q5 z#Pg!OfgfWcC_~O^u;WcxT@`Z}#|58HtmMN`yh=ZKkKGFjtND^7|O=sG|?uu3~faB}&6!8YISa##ICk0`tSX zQ~0(qWSy2%aQqY(hnJg?E}vI|sF_3zm1}jCl$#laDrw%uoMrne$C)(yAUg3IG#nuq zZ(WfVK*_J$so``UP1SL_L^t@c!Sj)g^ABtCrZ()ToDb#cFmgf6cv@vG2fx-YwX&w} zy8T#0!=-j;9&tjQ^6CCcbZ&e?ginNJOl@1?jIS{Ic3Wj^;nPB*-h@`86>14Dz?B2v zaZZ@*+kk>;NVQZE;SxqT9r(2l!eK)|bx}G3r|^vr4NG^q4xkFO(V`AJyI7@9Cco6| zU%G0>4NiBL#x$;O-)u5uN}s^f!}l0(qHl`5n>53mE=&vfGUu)GSHyW?c~69x75t1< zYxual45nTNTQmQ#kAQSnwYNA%(bR)IPRjf`>sg41S}QLpR+8iiW@T&fZmKB6@)J#( zi6`YJn>a zrvcII!WET|-_Z@%gY4A;SK6KThaTrx1GTChuVq{!8w6jkkx=%IFwO`=zwJXthIS0U zlBRw%zBNU7fl(oDq8ItuKM#nWSTkZ0!%FQa%phO}t=|dqtV!;vXUTGfgoU4!>382{ zq@0~)%w<{@#5}blOj8w;G_*6{K+ls~Z4Mb~5EV-cIs#f6L@Eo`Sma$Yhk6ehVxr(F2l_FdGMZ9K@rj$J2>7C>q{c z35tG89x+($<+2l$VjY+_%$W+j&@eB(S#bB4bl}lqj8M-iknmf8b#A_Jq<^nRiNMJq z{E!!kKQ;za$Rr>pd2~(u(5z<>oZyC_2b46{wTkUMxW zDyLixg@Z#aS}J8DcfQGp>{)wFXrf_jU*hSW4O&A+eKJC;=@X5b(2V)!dPAX4g~x2A zqd>4XfBiBghZP2S^(~&2c=lDiB%#RM&efb2+gJSOG%jg3pWM1{9gT1>u9p>E5Xdok z%rxfZpY9tK92GdEN24#9>UJsk_kjxh?GtH@jsp4w8Xp{;@1N-R|4lKyN@~_O|JsD; zu8_k)6Q%zQOuSy(qD13!m?p1FC@!MQaE+U(9Y74F+7a7kw8a z1tnQ7e~u0Fa)K-=Wcw@o96#K!Q=?DT^Gh2P6$TVETmp+@jUej-A`@f~m@S0G1q5s4 zQmuDIHP-$gsmKK*WJ(~f#)32knB(Q@&fz#yKT?vIZT)X(bM+c=LJ>>i)< z{deztynpI-52Gv%2&oAwxlQA0t&A4u#jLN-HM${L-xTFlXA9~)3pHI$2BL;qtw4SO zI}b`EPqEQXI8tcPA8*$Ba&u?(>bss3}+88GQ!@b%@ zcC+#R7_BywES)Mn8>8q$+brXkP!Eh9F^*G+Z_0%M)#X=u5W(u$i5TeO} zwSy~KsRsLrp^lFzI5Rpw;xfPZJ*oAr!=Sa09tB_BMGpr6Y%|4m?DkKTLZI``{g|PM zcc`F2)8B*^05{zl2uWsJuaI&KqzFoFN#jg^>ILZ6nL8C)lH$PN@bha6B|^CqXgB5#Qt(yQST7bm-gwUCgTe8Pq9_&9A{&!( zv}aFJDS^21_t!zpws4Nr%^CO%l?o(+6LWrOYWZmPa)B#(!Zzcsc=ene^I>fU7%0p~ z>eZXs%1L&#)&C}K9Ewj`ITb-WUD8gQdP}ZnaEx_=QBvypkQ4h4Z3PL5iy24I=;`X% z*G<8A)77FxQej%M88lhkK#vEww!DIK25{#&GZLxqO$T>j>VZ$AleZe?ffF)b$C$#| ziL)D&1Q_J-9q7>423#HXXrH6l?WE zM&~iq-fKOYq!aIE6DOi9bp^WbOe^lYs|#Ap}mA&YEhRmdZ?~?Nmu!UXRcN#!9jmu;eIsuRx)?%8hf?+UBx9reXBMY!-hd$XqiFS_0^w1~z zp-mUkhbEx|C8A$3&yXMA|1UU zuzz?r)@GTp3ThHE&mVnu(Mv~0-&zy3bV|w`cW9w+p&27MIecQxo}w`*W;aXM!cu*+ z+A%f34lz1hAFILzMzAy9tT8v|x`YD+YAO^B*c`7dBNHmOn&J2FMxn?(KG>Cs?SRaS zg|mY>mM$5ZWffocFZR1MUo@DgRr&=znZLk=osNP8D)WX^^-PkWQaOU0-ZN1YBZKMY z%K81b;qA_f<*=EpSmm>Xka;$N#iUF!)I+R&)e-_vXA&tBom-PmK=IqX8NAQ6^DSiY zL?l-n)FpwY>3DFCc{dC!Wo|@Vvx#60Z5r!!NA|uZG#aLhn$CDsA0gapx{e;F74ju# zEB+aiPDEV|QzF03)Prcvmo-N0z4a^PL#RZRGYZa=*OwSa?8vJ}uZpUSP7aP}j^F+5 z8o#fz_$)V-nhNSw7MHvPX}C6lGgz&z)G#xK-OCLAgXl)eOMkRiVVx`kJ6gr#MZJ-Q z6nhiXymh{vL0?gs=bBV!T5n?K#tS_!+!?_mPf)hOX>@cPm8+$EoYTD&Q_=Dr!<1LD z%+L&8kzAv4X{zzmY}GX^0pXLQ9k{KmF^KwoFlacUBBz>gYW3+9_A0X58AdLOY89Q0 z#-_S~$GZ0E?-YtOh7ejqw2md+kf^*&d)mB{vPp^BL%=}C; zRqAK}2|`XSUS>bSZb(b}nAz$X280Lit>5m~o`?z@0(wXk9e!17vBI-{yCd0-;nlA$ zqA&0O3v;KMoZ44zuL~^0yJ3L5idK-eJ8QS=i=&-GC0Aa@JdrT_EWOmMJ~rnhB-`QL z!EDBV6D!VbbZC_0yENI^#+IE#iFLgK$~W9gaGl$$L?zzN=|S}4=;RFla|-`C9U*P> z>4_sOcEs}TbZ@d@V%0sk0i5eTO{+pX@*KE==iZPifpsyYMQJhsCd{rsRQ3DFm1zgx zQVX@~GmKz+e@S+pEBFJm;Ny3qq~$pP&mY5%d6HqBf)T#a{Z?L{-jxWW6O3wM?bxw} zYU9ZYtW8DH+B#x0Pj1_x!i6SkF#2NUGc-+6RcBFk%+=t$lmcv_nR%{f<`GWH1Duox zCO@DjlXqi^a~YEyx7L9Yu?yr%iYJBEnk4k3-AJFtD0m6W-IJs& z<1#g>C$NLMGBI4Jm|v!I9mdx~OXpHvQ(GRo5KdvY)fsU~Yq29QgP~!BTkjnWlnNDv zK&H1@N;YMhW6E5$F!V$Lr5Y*072t)7uz-G7I-uD(1@1m%yd65<0l95<=<9r54Uq;p zv-C0%4$X1HH*sZ_lRAjz0a`-&uJ7CLA$bXxItL;Ni|sPnUQ+ z_9im5jny8@4=P>Ou|?|XH}3ukv#P>6Y)laysgi4C>|3^}Y>` zf$FDSR%sxbswFM9Ns~h|2Q}?2wAjcpS{ zDE8ur;7Y2nu2!zuonEAhr+S1!$K&`ov5_YUXIoRMC21J0+F2SQ{xjGFzLrJ4=FG40 zFLk;t5)91^`KYom&}ZgTl?6I|x>js)j_**d#e!j;dyP5_d1RN+zBWw+b((??)@ulp^&$uRn3N#1%ROV&%+x+47}KqJy9D2` zxW@QujH`Bm6lz!#hyhEu15F9*gQIrsG2j$ zC>If!AOc=cr()MTi=$iuUVRw~V0ouhP38XPK2CUPvzlpG^9p0thX?5WRZgujj~Jck zlrYN+0*}~wU+#5jcAGE7-y~0Li!Jf?yNbMiA~bsq-xjKs(nm!pM@(lV1%~TKhb)hS zsjMA5mdGeOEq6z=SM4VH<8HhA*WPjW<_#OtR~OL?!+*F?eRc8J#CDa2vuOTN!Q~He zR6E?e?Yn>HJt@)f!sBMq#82uw)&&oiU#P3JujMP#RN%sYd0)cMX3$OAYuL&p#-RY4yOoYk;F430z~=~Dcc0@EIyJ2 zmrhNOxFRdMPe6?_r)(MpYejpGU6XM0vs& zl8ui%&RB>JF7dkRMCWl?$Rz?ZLbq4PzQ?;K%T-p~CSi^ba}Z0AXv*lQsClu@T+rlT zBq}#8@?wdL8G}Zh1d+a+E59*WZMEqh_Ltu=`9Zc?i~t2O=5LVBp|Mu@G-9Bp0crM; z*a^kyIJbn2agZXBqIHxAkYaUH3bY%kI`D~M#1?TrNkUGsFzEcKjR&Q7WSl(NopFaN ztg#@DZ{Ms`<9Yq6Ls{8xo!L?Hqfh@=S!LS z3zND(LZY}UYO#s)IsZ4>nJ)5SjffQX)MRb^8;l&&n&&`x-3m??r93>3u1w%t z(L`Zq-PA92yJ5|6*`hc^RV-qdzrTvtoKG}#Td@KOI3JI}?|AelMO_v!zoxmSzw>Xnd+AFKyEe;`TSN)e%M&6NI#isQ1U@6Bagt zp~rcWquU!18et7i*3$S!_;KY^2Ti{!Q|gD(CO{jJPQvG}HY@b=?Fy?YU-;&5XUc>%0G$EfET_O_k}N&+!#8 z4o4pmX=C~{;WMwSErKhdF$RRBmcH2I*F)nBWr!l9f(&*Ap2E(DBmGO(-kR6YWP#Wo zqO?+{4`F^KWVMyap3bEhM&euTJhKQN{p3h#s+*YROb=(tvY4VXFhvI$J}_Dr4HAjL zK6F1`8@|?&7uyu>>CSnE9M!Onrjp)Q8ZTt2eyqj4^ta;{TBP3*t#t|eRkcBWw+cH7 z-;25(*eik)nRA!OXIGKW38!K`7wKcDXG8q*Ol8F27Ab{VXxCGolKoY268hsQ^bKc2 z25>w!1IZ-x*Tp&!@l&`0&3F?lMZ0FsdniWyX+C;RvjKItGFbc%`o6+gq zKMBfgo5Rg^;$_plyLQ<+WY$6 zV9QEKyI>phtra1yC$IgM#^+cQX*RV08OFob^4s2I812)bwH8xUU|yKhYOk)L9e-QWC*jQW{qSx5VbglRd|QPLAZ@kR`MzAxJ8yTq_{Fc2Q`9%^hh1C zMf$$ruSz%3ypXMG&pgZkz)=cLBdGud{o(389m$##r*V~fI@tBpb7s+z=5|G66?O@Q z`;qLisN&_X;~+I56unzD_dxwb642aodbYV}@5YDLr_pa~nC4orK`udsmX0c{_ll zG84=H==|(x@9dbsIAt>5WO3Q8I296amlnd~FJ48@zIYxzer(5oz1T$Ysw65O?QY?D zDSrQlx>g8djj~c`m)dd9ACxfsVFH2$LuAZ@= zP>!Ve`Q1zqf>vWzP0;Xq#6ppWXUnA0tiXci0$wlw+k~yNqO`^?jn$yCHX|S3r6ie& z8DQJZp_)lX^B=4>M-pR6rjd-FRdp2%^|Eg0K755<2byMzg*@6~>IVHC>jE8-cI)}c zcrf(&HK_dPn!q5k4Ia>r7~X%{n$FQHa0}lgEWBw39SaEkwXjZFUc~ZBky%`TDfoF& zCD8@_7$T$8g_kuTV32e&HnfwXhQv?I5WvA%MuWK$Twwf1LMwpmlagHZxeisZqgYk7 zQe`mZSx_x3G#X-d%;QOMRa{3q2$(cwp)RiHc?iv;hNwy3&s~VOUW6SR+gXFdWW?}b zu|Isg>qutbxx~FL;G2m>9pT-7^Nvi(f9dN+sa6%8dcBN^gHI`mv<0+%YQZ~|vt zTY!F&x{+essIRj3BF!%N-X74$DaB78JcVt6?MHVN8y(=%aZbhb8qGywFeW&-Qy_JU zYhnBx8vJGSb870BbjBdWx%*NOSm>n>PeD*hjdxeta9)ulpUUanhL!LN?Dm|9_b}Ey zK569WZR?XdPmA8Q^+}&xv(aDTaH*A$5?meaQ$%ARV!=p254mL~YwdAn(W3R%_J-Tm5LTAH8V2PkRi~9g~5j z;I$!0QQGsYiI43W(=eR$jy^gmk{$s_LLl1qs6bUeVIbNV2sY|d)NFD{*V+S$Fj@bG zqIatpq+6?Mv8kPuQV95=)IO?L>I>SV!g%``@z}oFd%E{{pcQgnA&n%OWLOf7|7N=k z{(6jmVGB~807b3Ax^!4@;8$+o*j$V|$A~WOHuLkuuC2k!9r#>0N=i5j3e*|Ig(_&o zZ$r^z>HMFnDqknl1BUu|cMbx+G-4w!F|A|ZLT(kq zm$Wl@kU8!*{4c@GX2BF`Q@yUfx-QV>FN6ml9GtPgbf(L7hb=5>2o?>2<)WP_#Skd; zVCd9vb=`UIO_0l)cig}!E1+|hc)|Ip;r3pKO_%Z{hGTx9S z^5;2tQl{780&_)r!6$@WNdsMNr`P~9fl#wW+kH5+BF?QDbyPcxJVC@_A+qt3Ar&_9 za)!lK)1tZ&^6Oc=YGkg#V?qT`nV#yw1&A>$Wa^q>@LUffh4G;K;V**l$|Q_PA~d5| zBn~I_0bi}5Fys5%E#b$}5uJs;kl~M@gv2G8V|Yu4(}T%68tDnKE%jBU=5wf!kqMs{ zf2_qPxJxZVaQAzjMC=zX{+ITpW}IcTL)%UD0b3M=mk~Ba=e~`~>az|QXK3HPWHnRT z{T$7*s{+lAtGt+A6`M8Tlct0_#Gk*}%;so2mYWPl?8B(0nQZoG*;!X-_6h?{TnR9T z#V8#NTSmtfBvnz?4^4>+P6M~frBVB;_Te@VT#wGrNp0{4 z&{86_3qzp-Dfqz%|Az}F4QN2Vs#)917IR6BPkQMMPn+%04AbuzGI)_lnlT`BO|i^S zUsnI7i49eL{ZX-;z?H0GHOJV75o7NBP)znPPNPZjEnGLCkTj`b4V=^Y$}?{d6Ko>31rBq1%hsg8H6)sX-H%G zqBJ#NG;)-|XPz0Wh{QH|tp>&w9lk_d8-p~r=cZ9T8MpRCF;~8wt{k>@1wO;_ZS~}+ z{q>-r{NgQih2oGV&1usL)GI3a%QEan^?ml^?k~MvnGCk@jTZINt_xjqdmlt?_J227 z(A!bOaGuYe^A?`Z)PB{|MQ1`sb9Fw0k6Nc?ys7kE#9wE{Wp% z!)P#HVF^{3r7s#CpACkcbJAt;Q!IQATVRdUZ&yqXMF?Yvv~3$yBGyddXMQ1SX};z| zShQmFbSkH=P~jJ1wzkAwC!4i;1?3V!9S-3SW{Hp)mlV~8t*l~GwUWLLE#P0Lj2lIL z^k9;j1w&BemFgBMG8Ol5Qdh`pLEa-6J1h$>6~c{*4%4RCa}{Tl>#3?F78**!frE{q zR%*yjqod2Fm22Y+MR3!7s6i#nIXw+d_s>bg^nfIJ_%DUW8Xe#Uik;Gec}a=!Vai2N z*Nk^+j%nGyxAutjCpz0dIX;edj_HB;5A{ID&hu0^>9X3S>%imaL#~DU$M!_$`v-?7 z9Ju~T#DC~lgeItYBK#)E8CS$?-c!lLKaeLo+dm(Vqn#7=uJ8}_WGC*sN|q@nd>cPD z&BU)#BKC^6`^g38Jt!GhiCa(~O<0dwotm>13V9JlQ1z#P z4hD2c_{RVAPCfjId{|n+mR=17>83>A$C0n?L!C0biG5L9H)5hQ@>bJJ6CYd;yHwKG zw~KJ=31{fA!*RNX)OE;yld!_WAm2lX>A?#kIXp*@jaiPhs@f)}D~&?7t18|0px0@ZA$wj;N}0kG zSgBhe3u8KEjs+^{FJ*1*WkNI(v%dGd`}J^!+}rt@!b@$)i1_;nGkGtyEf^!6W{&3S zj6|jL&&udi5!STQS?6#ls&iCs;@jRs^5!B_Z*fT8kaTN3@1FO-eZO%wV=v%k_J~8+ z+p}BNQX3j_hL)KCyJj)HO4PdwMxsV%=jYL*ho3%es35K*uIbwsS|uTk6>*M3ttqn9 z!78;IvB-oQ71npJ78zXC-eyhRq^r?&+SR15wgOimx1Ums8g|}+C;g?}6zeiJ4eX`; zT2^eR?X6?_QtJG5w}1CLL0#dG?`x?r{UK{I)i~@zb@Smn#TMGu@II9x^F_N6vmGY& zdB~1&n{;XTT+r$BV6}VO^+7PH45`=QqrGjB&lM{Fkac~>%_!2ZY67e}BPy0Sbor

        n2IAwykB@wi-6ftXGHFTAn>qO{9tBk7%Gq0Z_f9N>sLG)C^ydDGS}*jh-qZl!{Qwo^qa3!0-y*>)xp=e0Y;;SSX!}C#bLGI?^bJ zkBoj?n)7h+Ovn*rPyCwvgfD*@<;fZu6wNK4eDO2%s~&xHF<|N!8hdixQ4(~#x4>+G zgp@pd_Ta@cyBmIRa2&mO7Od8K*(R|btkt@E@~$t&A~jeLP*~~)B?_8gfeFR2T(uB? z8-gWl6I&4p{kMxkAq^HXM=WukrO%eqEymlj3OA9w&ckG&0-5>v#l5vxO3NeGby}01 zzQ!Wody3|Qa)v6|9Yl+y)q;uLGbiZxas7}ZGeiCTP=t*JdjlEF%nRpI42xdJX=boO z6zufG3>s?Hdc2z!g(#siV;d7YV4%Uf-*2y>>lXj=m|=Q`Q*|s-!;D3CG2nCmX_&RE zZtkFSufb!UC{t(QoL;_0usQ5T`}_FM!|fRw8cRJ)$Y6AUF@w{?ZMUB;UFms=;-`}s zt2V*4D63$UZ7#PYx5E7fItyD1vy5f%2klS04I7mA+>UZA*Tb4W?I7GlV=Ux89o&PV zKTy-#2qe`vJUJbmk8#fYBc)a%S)77QJ_bQWwu!J-R9V*|rBF??U99eWZsJzwxKUGc zwz@tHfPk^$z?Yl0+R_`-%8>XGN$hbe2MN~2G&M-lm8RLgO}4vtj(la`CcT5Yq}eOH z^Vjo+t192XraT_Le(EYVCP;2Zm??&XqmzMR;Uf}rN~8wQ$4nj_9v=)W(o#xrWyisHR{c_ zep&i^;M*}bEz|Qs16@HHbcy2(Ie(@xEN{eGy}TK+MvOj0{E0e2>fJ2(XML3eWOf84nxv|%#4A;@+_0Z%Sd(*_83=yv+Mot^6yNEia1-q# z=O*?XuQ!#29V+(Cl^Ot^0C0wW>-5@;xXgxDZw+Y0@tKSv!vXr7ko+EZKEBjA~zJhz>m74gOdd* z8{@7S^96L%crq=fSJ97Px5%c&x0Zf>@}rxfeWbgb_n<{_)0~;XFMF02n)}%bgwXE$ zD8mW$h#8A}AT`nc6$El_oh%-fRkF^FT>=?OC)NpMTzz*+J@87G#dGA%6}w!<62N-J zQB>1>OTF?)?q#hmMT1~!9m?y3GJeZtWhLUTlC{GrL|F1Q3R7h%te^M|$1;emI%jTc ziH7Wpj*+(sncEUol^S87D@*ik(*?YUHFe)8gt8yR(k||&rk_Klo6}G6;xBo)!I8q* zsz_~2rGcevp^5|TW6`7^(5uPe4Z(28Q}G9UH?XB}uI3LMhv#`6K4M7bU2FTENRqf2 zM*@y(nNp7HPhFmSxI8S5tqI}llDQ5qz4?T@f}*&IsRhA=AYel*t}T2W&tWRhB$snp zQKae1vRl3oNnFwBX^LVth?lLYTOQT$|^<-inDQ- z32Y*Hm{!znfzRYf!+jo$bUgGXohLVzJKwI%>L)eOYN7JGVQ!8ETMuFx5=_@lH_2_l zZ&Ke%yeXJW|Kqz--pmBnYZG z#eXAz|9$%h76xo$=uTcOX_`FNKj_#)?d9z1)+nrmnizCJ)gqd~C(u2tFda?+OO5VC zK?5^_Rsl7IU=^T?10qan{!!7|CR-E19&XgP>xF4j6)Nj;9lilF^#z!NjF!fA;?BLh zf9h~`UWBs{eKHUfybsWH<3Q54F6RKQ03rgbGr!OK^J0b=-%RSDPI`nuKgNtYv_{JC zF#7J%8FE~lkD0`1_*yJR4a`N#0d@!RKDn4fDfX!g$6^JR9^h zOXihAjocJ_@E5XPuG8doAF88+cj-QvmVcW=5Fj#wct_HCuE}6STWC{A_qn z2t|FJB9;PShQ_sQYiM1pqT@QEi~D6wVbvwWY@tK)cy*w~(ZOpq31+*Wh7^4Ewn_Zi zxYGEdrxHjReBSta&ckh^2C8DE07^i$zlKd$qSjO^Onvv-RR-y9q|#QS{p08-^gqb) zfN5BJOMXiKp8V@;-SlYx6mJUud1pxDWEL6BnsN3*z6*(N@)OqH?yB zOYI>Vt)}MKhPug4fl9m-4rOj;4NN~(QS|F~EkSl9MWAaAk|sa4Ng`zNeVV{JR2KL} z6K?;4&w8vRmAVU%XESs>q+U1)>n-CnBg`ltH<>DGUIN)M0))X=hvN#@#^3qu1tETF z;uxw7vqr~>j!@pbd?a~UP~csksB?3=Pwg>%@VRF8yJ9FA#z^pISZc2mqI52=W#*CF zwM7wLto*lOIjxg6;;+Z-lU=3ASUkrC53eL~2C4$2yYeIhfBiIySE=sV!zmm>vCtO+ zck&su^R3z)45g!DF3-{BKizdWFDzRrP95E%K(fHh`xj}MS4O`XmpW@+C}|*w^zx(} zsF;3I?x6*xLA*j%iuI>df%vB4z=2lDW^(Pl8xor2?o`_oS9$WLyVfk{U*Rp%?14Lo zycsxtlac^!U{Y!@n>81k%4O^sa(ZBijOLlw(a6?P8T9z`2&EJ8t=#I|%BH*&xE3v} z33CWmP;9t_?}pFeu@o6im*;RAmtdpf>siF6{HhHCpgo#Jq3m0H=L`{zp2urMcSp~X z8GIzkbu7%@GOggdj<2Wi!mo->{nlEIy;lFbq*Ra+H*?31My^t?RU`uN0&2E{)g4u> zPGPK1iG^`DIw83gT!R1TJsF`2!>1_^&!Gq`dKXo#&v93S$y~sS=@YDe2|wl}z=pHb z@!&qk>L@rhx{C8}QVFRaeN2l=L z$=P&hXl(M0eFxSt!-X!LCMvo?T_>S|x}p!2s?%Z#r?6|LE>QOSB;D67L;J+6~ zGybLLh<%$aF%HUn>v`=&`|`_eU7QaOQ9J|u8G#I#q#RG3sZ=Vzns{!jYy2-PXt`hq zg|MxfirU7iNbKRV&xQhazM8J-Qv#i1n24gE%wco1&)N$H`)Y0>;(VQ( z-Yw2oJ}s5nEfd8B~~-yy}*W#MtWQQrIL=na)A_1VQP|O zrX-{;K*)QW5wKy2L4Q zrAGWQ|J=UV2XO@{Ej=+ZYS(VM(k2RVA~eI>)Jt34_z^bOXT!2wGd`awWZ z{;jxZsVWI;)a3=v)|HosFQ!dQo(Rf&+l-tt=n759ZKjI4;0Y)@0W<3#>#Cu3ubNX4 z)D%u;#r!$kNf*mVJudPjOW*S|zUDuoH`^?z0jQ$E+WY(|mV%nlGJF}7`Bb`9`_WG+ zLuzEKv`Z;LBuY2sy64bCKHV&lJS6%ozD9vU&gyX(wMTBOIa@bchb-~d&9&>d?TR&N zQOSCjmy4)eVaxsTuu&r`6l1+BE~Tb7&`+@Ik!GvX8xOY9r8C_iEOnvE^b#XJ6S$;* zI_M4VA*fYTyDNn*93{h5468dLO@6UO2WL)VxLCMwa@ZuF)eMHIDBo&kJzZRO`=2?` z=Vuxkaupyj_dw6W11LMlCcYJNiGBWg;F#?pFtv>?{e6IarU&{+_v@pMkmsX&(65O) ztkWo;Zg_3|5*9Hkz&zb7YO9%SAyW-of@_NXc>kMkzOlF4!u&fs5<=X)ANQC$67F^Z z>pHEVbctR-b(Wj>jFo$Iv!;iBw#0AyBAv#@iMEy*4FH}QO5T|I3<^fV^EeyVIDG%4x%MLXy$DER%-_9BDmy36t2;An0mcR zOkc`vyli4|v1cgh8W(SR`(JcaaMFcvJZ1|O(``U^btFPJKle&oDJz(mz9J^3PhF1i zJ)6)7Ff#c|u;WD5toWmo$Kz4dAB}LicO;a4WTlg&YSNFiT2e<+b$9&e{N2W{hR(|T z{3{;6;O*x{k-$iO3{MP;?I6VV`l`wxFQ2TBU&Vk4tPHrx0`B0RC^)%Y#?hBq z;^OqYi6PFD17zE>^yl{OE|6`CwiJ28l)^3<*1`ssMa)*Hq^0D$g$|z%N!|SvOt-Lz z`%`2cVfd5EaoggTJe%i~{>HmgVX&EdsGI7z+t<9!eXFTH-Th6zP(HshI5&PQ=3DrG z41L75gyC_1atdq1a*k`3ZN?Dp?$nu8PTmN*#`oybcsM*`4p>ZsyM4Mn`_L!Vs4!`W z%+ae)zv#}WakPiA!qKSeY|m>-EUcI9N4Roj!;MFpL_@79dlFjpBlUhK-oQQ6BvqSx2a=!kO8*2)y5Q866dhcAP!X)H@H z$~C?-X2&tW!cpg&9defjhO00_QNfly($_iRNon>+8@Rf-)R*0bTcqm0c9_?vM~6dX zh*2r0T}{pkgXym?FX}^x@Khh(;VS+0WkB6Qp~nFx){FDhKVUnu_{(vOi+Q>;187 zjXAM0>IZXN$n8Hal)%x`Vor8j93sjfHnR)Ge2H5hlLZatK`v5enn2wnsvR?yn^V03Ev-^~ zR{5Rj+juE6d7G}zlh*Y`b@-8`5fZf=uoeVw?&^P8l2typ@aT)rB4bw#M~6MOopmK2 zyG>Pmf))`XZ1Qz3GtC^}j3fgpqtU?x*slGi7%H$&aaqys58=z2#C8t#umGPxk+2d> zF)38N3#$zp5<+HTevUVZ|e5% zeE7gQF=M8CVCp8sB}rWz?M$(17hIom#o6(t)!UG)6Qz_Ku-TXOh#uDEjF{=p?^z`6 z`U#FnUrDDlN1!G}{2pm&`s0(vOjbim%^)tDJJt963VB(mXPnX+q52f=e`{C*aRTk> z)Z1xOuB#=#wafU4OG4e${puf8GF}I@IWIYzI@NdUo5i%U;IZvwTfmnL+gTZ%ot~fV zlIGg3IlB+DH{fa3xmFnG;Oz75pJ%2R15Rt=o>#9TSmBKDk^SLW^n%Qp2!RIbs$~+- zw@ILKJizQDORR&?Q6<_Arwu&QN24mBVVWzVq(=8mccGCjx7J4l&a}plCM1h``tWZ^e!INOYqg@A|~5( zNo!HO%GF0e^pxes=BQ}PdK<6SaeykPalO>7H+nI&eMqRiE~BEt5@@CfER_5iB`EhA zU2M<`GZ{_((SJTiyBfSPxaMNRgz=hJXf^O-)89n>ZwC&E!^Yl0w_|u5++&K)h#3ZR zm>6|yG9T4nmFciM)D<=b=UkkjR`gCTU;8vCu>LaLY$XV!t~?x>p=R5uX5kc9hIiiI zg?~@;=;>y$#M+4HS)M7mJjaG{I1lXyCYy&5TrX})Rs5nz4tf00zOyPZ=K1B-I0Wds zOqR@$;O#RO^yrtxs^?Z4?RpChOnF`)*}d4;)rkiEX>2LFBdpjVftn}T(J(gT(nnQ|(SXjlqPA!jG;c7|J>_(%IO>b0EBPc?i4z{j zDUrl&@+RGc7KKws$$Ub2NiPeIFUSC~Xu{!AB3Imy^AS>M5Aa_@>sFy%dJ~&PKxJJ8 zT`VjtpwM0wgjb@i+tNk|lsIj%kY0}*Z#PJqRqW5bZ}7bwO@-*$k7*Ayr)N>Bg*PT4qu zc4+w}&ToIp8zEGmX0fpGIb9h+LGnP0Re}<()76G3tgQs@-HB7cytZ%EcyoT5c=J>{z#5^~J9MNkkbm%{S z&DM=L@)T>SaXacie_C50)A#x?9Iy06TS>4r z?Q5b{9P?N$*6XBWXLLo6{-j=${}uJ0efj#6U2hvtXI;nO=>@uDS@djCU^xo>tNMbT zK6_sKc^GxZ{hkF~rDeIHoZu>5qK6Gj zdkPPAQvXcq&JV)LqHE8lX*A`O`RMq_q@%5g{9G``-S$KdAU=o+MW6SxRLx z*RvrZmiE3_?;v60hVux&1|$e)hh&fBJwVZ|gi% zMIGaz**qDQ-9yK9f4coO@E#&sM1l z&QG?{Y!Oe=aM}tV$jKQ#h4Y`|`Hr2#;Ul+LCPwnSj;%hUliQk{gB!DsS8>NiU#QdD znq6-jn{>dQueYkb9~#751?=5BR>FU?>;k^|Svn(SCZ06|4}!vTHO_9jKGhpMx9yQ| zExsW8;4p)xIyU{*y{hphw|~oo0CxgB$Tl74rK&QSRd~a>K^0e?=^!|sTUC_Y)Lcz6 zlCm=)00ZntI!$1ZZ8@=znCyXv+2nAQ5I$SuHqv_v`~1hoKzfS)xP#b0qx)m~E3OU6 zOaO34BUDN_>*3c7%Mtupx%~XhTvowgu->FdU#Mb4kzA2OF^TbcC}qPWuJVQd*+(tR z@__^b4Gkh=_o-&NQ_&!`;$Ha4 zFE?4zS3Fj}F-fIa`0Jo4maJEEj2vzYlLn=Y*&K6blM5hQ#_N*y75v|DeX3~&Q{S|} zrR9}c+$)Y3Rs;9O;VW`OBwHXG5@)Qkecp)jB zd{!{r^Y;IF)FDiO^=$jYbK=vCvp9MUeI=U8hLl7oT+kRDIPX2EqK^s^7#z6O?n5u6 z-&^*yu#W)uQFY{yYTaCF&|bZ&&#MlUA`Ofy&CpcvwXz#}nY2TWk7@y`uXdnWQBIiO zl{Pdg%px!%x5avK15Wc<3%kirc4RiG)9-m!Bif^$)ti$FZ$NKN&OVphlM$SM!6Ci~ zO;}nh_h(#jFJ~=T%j4dlwQOAG(}FV^Hw`LE;iQ^Jkz5f9&~yA#^0m0QFQgLQo>SAi zs(jNrb_EOSride@E#YL}uvGtWAn_8T!+nL*$L?57YNA9mY8xri?&(SG8=H88Ru#@CHG1&$w&?SNM@1_{fEJw%n=k zfNq=Lpt_|c;NeEa+N@6xVk=f#LQX|ERan@MToru}gK)+B$~FUFS*aPrwwi^D*nvr? zzRmBgyZ#6$BG*7zHX{i{3_p4`qV8&;SlUk|h4QBx;3u(bPjxD*BAVL8mI89H?I-a~ z3uBr*`*y@}B^ zV*sj6UhM8kN{K@{U$`4avS69SGhx<#G#Wh~V_j6qPABzomY{)Vzr~M^==UCz<#8Vv zL!}HLy(uIp1Bz2whhEDks^$uTR&Wz@59N@jGiQ;+A1ZLQx*-wig344E18bcU955+^ z;Xe?U%e@E$Zl4Xd}$1l65QDZ0TisULJ(S_PuDnB7t1z9q8f|NlkmSifymtB zN^Xmw^`rbVlyJ(|Ld{)0X@`aUCSK(EAL$Vld|tp(fb=Mvt90HYHp7ix)YEB_l{ThI ze^PBGA@C67T)5iM)CHVXj5?ldH|TFLZz;l;u=AXzwT>*}42zVc%Q()SuTfM z#}-Oc@SVLJQiDsGF!p2EV`*pC5>Wk{q&&#-fwHS_6e&FK5wf3Kv@PG7roW)3->9ae z{@X9!3|M+Nn-(`~98pZhZ8M!vCWgQ55`p9y!e9w*i`D@6>Sc4+#O@XBTDe^_;JH-a zTkUP@v__(1>q2R^xtk8G4YHx-VXPU<6^ z7kZ9)p>Jg_gQgbK&s24Jo@>J95hsmC0lZ_!h=XeJ87v;)_rOp^A1B$|s+~5I&S0Ou zj(&tL!Cv$Q{3FaZW1PC)XL#`&<-|S39pw#UB0Z1c>*#Q(NjdN7=s1DPzg|lZ8Cx8P zc_)=_S8`sPz@dH{Zbw%CEq=hFhUNm!YwBU*xNOlEwexRs3C^!HGT1Kmz+AS@k;EtT0;=t8OOr%_Pq+ zqkMJ)!+m4O)Hg*Q=}f`5DodbSp`#iDrpq3Twx-PBl0*t@3E$Cdm@WpaQ9-}X(s)kM z7Cc;Iw&688!RE_>>K!J3SVrDn{ak~L}~AyGH}!L68^7bLbcXUHzG zO~9Y|cLO_Whi4I3L}!nW;Mbn);W~YvaNV#PIA}IsvK2<($_#TU(5x+<<4g7e^m;bi zJ{(48!=aU2BzZt=AMa#UtN4f=%O6HOmOS7k%q==&kA9B6*{2VJ53{Z$H(*RXIBBd- zQj;|WJ3lICizz)KZ|!_N9(nWpvu9W~fx4qPif`x+*gzY7A)A!@M}}%l9iB>pAg;9^ zokVjIV7vX#J35-i{o0VDmAetl)5cox-bjHkK$Iz|J??`v}(g5(Z9E@rD% zd}|3|u&;CyUkFd96R|A{cU0+U%guJRPG%jNQfEeeN$;cwop!2$V_tmINT{x~Y-JT{ zgPY!!u9IP6C!|I*tkv>$7agx3_G82#_B@9zrbU)FpvPOOv9-3&GFDD~K#?>;S_0zai7LSt&4MHP;t3EUb_kjOKysTZtK1GnxQ<$4+kvLcmG^dM1 zB_{};VqhJLSy$g{k*@G;?C~r|q2g=9)5SP!3@>KN?>wNEa;#+7#7-WG5O~f7w6`D7 z`TKZwNt=}hg}G{80j6l{x{{w%LhCDAl#H$vFhL0yL^Et zh!si}720yeoMBD7xIpA3gO{7yo#qI(M_~hM_4Z$)b(_*CWn%>wof1K35}5eR#&1KP zxP{NN)G#~D(<>24m=tgXwR7@#&F$#dDWPH0c!@s0Vh=RnX}&L!@|thj-yXRr$VA`t zexn+m|%|dI+-!S2Qxv(#Wcd2W{Zunu`e1t75Z{PptwA1 z84?pDqMwij5I2ZxgB7k8NY#PnwTyZpYoy#aV}}nJzSAoK6a>GQ<2R-Ku+2VXzs*9= zn1Vj>v{IC1*0>dlmBVI`=QCVjV8>MCAQgIhcstq%bk+cvkgvW6Qi9q&;2jurt9YJm zVb9BYgE|ULwy;4`FSPS*aG* z$|B~Ll6b4IWqo$isp!`Axod+xL0-=YKX+e0i#|;z1;G&o4{X;p)m?1FDo2y1X;b(Z z*Va#y6|DL&Fe>PX!~2wE2?jdO1h$01p8O;?6-tQ&vxwXZ zti)iOpj_d9`T^U?iI8p$iXm$Q;nSzlGmKNENpm^u9pDjdy2Js8!~k1%1oa7m2Ai?i zE%sF5$ZP8QgGkpLM-~LkL?pL=_fZ2wipw|6xrAy>bF=1-qG4_mqvY;l;6l}$_3z(c^d=Vhrab}DKfqF|H_(in=JG~9JPN~j(uJl|)X5tr#>Q9Ux%q{X`lrUvr z_M@lvN)E~N>WN;0YK1VYGJR$6+x&OsO;KG$%@FyCuCMpM*#GkF7rj=Z&Q9s5W@Ytr zn*DUusD|{;>VvyxpT1QbO<^^w@LUGwQamR_z|;A>Napw%@YA@3GE5;h$>C#ICiBwy z%>7rYVjPv4or#)OBUQGe{~jA)Vl-}e+RC@m{SiknOwer`C3gmp*D6V8h93^zrL1|h zeuXxcpX*AI(v5kNjNvguw^fSm-_Lz-KmD+-(8!UC3aDiU^bM=UNBV;p4~Iv}J_7T1 zLNFN>S_rLl_9P79sS`Eh@befU{s^PUlFg=FrCh*Eq}Zo~mQ?T*sD4Zn&u*=uO#B&^ zD}gmTAWb0XqoUp(4H3b)O5sKDaT$aO7^=92m7AMoB9PL?=TVvm;O`-slm0InI$N6I z8t|mrK}=f8c~ND86xZNa+Igj|IC$1~+ZjCPXM9H6*0e_I>~vi=wDek?($>@*ZnuiF zhL&FN8Ep-1@+{4lX+uMA`Hc349JN#h1VK*>Q(@Fp^HbgatTB#nO&q)0=z1E1#KTXx z$fDl!=gO2o$*`V4PZ-&W;aM7IFPJTFC}_By#HpmD*{;2^ z9YW9~`Mii>I!s-1_Tc(Xsogy-6JsBSZ?#9#BY0{NPof0lAR801G~xcnA}^D#45HDk z1XvK49wTRzj}Uq(jcUWl@eO=;-}aPKKZh;5*e7d&F8iT69`$MQjn)ILIs;!n3_!Vn zULwJnzB7WaV39yQuwy(MoO-1G)1iLj)xY=a z!tH;oh;Srbjhja>d~pg*+{I6>3mXUy=62~^m)BUoUke9hi@xMqm9~%rt2{L7dnq9Z z)3nMMV`z6zh2CnKzDi6y6a#3KS)gA{&Wf8>U+jo|+k9=#9yAvT#_M%JF`^0oP}^SA z#})R8X7%KS57%jxx-_XwGO?+klW^fGfoH&P!w7Y#M1*Y(&2pfHn&e`+q$u*D3}|Uo zSSxB3H5x`n;l`W!|4r0o%g?t?;!Dbu!wZT7%;L_84UVOAUR&Tr@+AKF@tenr^-vVk zINeK2%?2+k7tJ|T*Bva0bk4xVOVn1-b0^E3N^@f@(P49S*!A68H*NNs?#$C`&Ux-wq5~(A zSzrCH>ehCr5%hYY=?rW?!g^fwJux(YcVGc*?MzT`t3mQg(ephtd0(BdmJH8YzL!mm zRMCdi?|gVN>@{i_2U!|I+}ry;o!=Pi2aZpK1gc8r+tf|7(xkWW8_vJH5}2u{0}K`* zb>MALE$Wg%g2P}Q+;I$egjYnBe34JLAyq<;;_ubY^nO+OM2F)~Hpt|D5qLE-^3}bz z_86^yfR5D#J5!j=pQ1MvxX<=7D#&zz$C^y0W7@F?HuQ3pCg8FYO%*fjp!z6@);RO? zwq#S^Yc*Tprk0(59!Ri@Cuz^va7@+ zo`|DY*6M0~xH^Ll7B3z|hB@T+zB+H}-L#py<@WP{cSg>kQWa($BiA$Y5U4au*&eh} zm2;9SAk6Qc7!s9Ypi4BhKI|i?ei7&7+nAlObbrOjyToJ773qA@tGit0@XXhhdWhc$B#=2yC7YXp?VKiy! zsPa-xCLuKEl;h_{Tpa>f>1xhYl6ksCZOlezl`bPvK6U!csn@Sa{J~`UGaufOsNpUZ zG!H}B&}*tWu{J85)uRRE8oq@^bYk@nr(9{(Q*FqzMtl~XbWZ{ZdN5qdcO1FzjSu42 zY2=)(z*wJs!7VZ8YMr1Eq23bO!bNv0@~PvVKw7D?8(5`{C3k$RZGzGHF`;X2KMSnu zVxjgkHw0AW6{`Z(K(J*p-BNmoL+j1Z$IT%fXLtG zTX@`Oh!E>2=p*VWl$+{pRUL3Ac6umsNJR+1B@z52rg~coiK$IZi*k_8`TlmT&lBqB zrIA0c9|?}6bB|41!K`@wxP-q4`EYiqEI!dQ6pW4V*EG-9#U{iNN(VF;vo>mLLX+pG z#~R8EUu4C8V@(s`08#TD8a`79m~<*Q9+XH?z^~$7)7`rC`smm%KntcB)|&fc$v%_& z42>bYhKvI=&Mt*B1yQycDoD{S@jD4WAzAS zg2$wDWR6GsdHSxxxCjEpU0Y7dG*;e-YO*PMAH5V=#4OMDKgs5pX7sgD8{QCox$+6j zP?fn)rz@^eJ|Hk^fewR%#PkIRxMU$ZT|=qD--^BAL)V4`jowLDGg3Z-tx zSN-PgoId*+a)Y2Wbr4 zR}{XU5%g(L6q9<#lLZ*kH~$hH$n5h9Rvj3hfKLC_#8>mFeVzb zi#(@N>jeQdY69#9A-b(7Yt@Nx@i0xl?c^N{t4YRFA30M8gOZz<%zxpnt=CVDD-~;= zQL_qdH$eiEO`I<4xs@;TsK4G4<;tKp=%ysccnbLeVqZ2$DPtAh9P`gt#q*zobpfhH zQ_g0odDy+l6-roYBj*!U$EMyN_h^cNcAP>*N~yjX5!WbM*sFZGM~kuP~2o56~kEO{k^b#cAjxG$W) z09XdD6x9z0J9$bEFzTRpk@x9py8=_~8b^RyLhn=?LkiAW{9>Ej?*`n4Y`RYA)W~1Q z9DoonD@tcPfBWTtF_BhpdEeHwE!T@!>!sr9Mu3?Lgj7>kagoL(dxu5yOq$^qi8C9f z-NCW!GM;HZ3Fg@!MwcsO5QeXj_oywV9^nmh2R_- za(-qWP<{u7oD2qgiGa^6I&iRrbd*LkEd!WB3eqV07moFC*hYC(c5P+mFRt6hQsK(` z>oFLNy#0M#gbm~Ar;Z1y$StM@6XUy+YV|u{`X#qCT)9)PyhKVsLfFlWxDaHuy3$di zl|f4JbyC;Ld`2-9n0ph#Hc%bObC@(G$;KK|vuI+{f)m*1E&7MaiNo(&U!zKL)vR+2qtUy0@%**(Gp>R87PcRp zjF+9C$y~&rE(|WF2ZNlQxLAIoPJl*m9cC?{-i-xw5MdW?Z-29$bjykC$4yL99MTft zqngBlwB}WbniDGYV%w^;Wc+wElB&{9eU&Ewb-!r86OrHTiE9G>=I33Wcy#o5boyXV z+{yu6CGZx{<%Hii^}L}0{%5h`+@A@$B|Sfk7`in&KV{^|vj(10#dXwDD<)J21-qI@4oAvXzpY{d{qBnKTq?F`NqD5RFO3%HDL`&*>5fLmrpCJf( z6Bmvm{iPVEjsC*^@m_Sie~LU!tS9#u#n+2)D^=={eU1e)4HGUlhxIagve+rg zr#S4Vhq_EOS?4GSI2u15o)28VSsjb1s`^c`-YBB-F_H~zEb909^T#h=nv@>FxkJsV zW4kn`JfNBe&C$+H-u^EY8u;m=$f<;t3}9KQYl@=pDMepL3$I_wD@{aB)N^N}nk}xj zBQ0J(?nyrQW21Gp3n6?r#jD#t z_u(&%#MdWkRL_opiIjI?lS-0f<{8<&!^fjz#JwMi?8E3-pZ3dfINTvAT_@zOAfpEu zo6+#`8IBFu)pl^s9(-)t024k`qA8V=Um&=dHz1X>2`|TYAs60s7EDmPbyL;XgOrfh zvFDscUSJJrKrcoDB6wn_7msLz9EQBBI{ zU7kcpZAqhlNO})Y4APWaVe$cGIR`;l*6Q^2D_YUAU7d4Qu1~BrSvHL`Sp9C3VKs zqO5=Hm{kpCR5udE#=>2c9H|k|g%hbPqrZyZ@DL7XB_2*rM?@X z3PYzcDosC+xWCck&J!xfhHWHHGkjr|S~3Qo2=DV_HH|GZAtmcHVvib>9Gp&~&Q(?O zsmm^)tyy$p2lZ7h5>4`pE%LD|t_y5U zjK&yx(^LN&eH6{Er~+1Dvwoc6r#O2O4XHyEUWDcA9cKh7gi$XB1t#~!V)_^;QyQb zZ#8||H(-*Rv%iHu_zFQWKN_Ohe!^#g_0A{w@;I;D+>;AkTk9Sw^_)IpBPic#UpDdy zFwsEi(p8(si;2+{E5k4t4Ba#f27QmQ%X9}IMe7;jA`3OB1zA;gelzsPuc3Cz>2A6132@79WQ?uDwvl9@*(laSrnSiAB&#i>5jtXCk8Ac>_!TvF6e(Ja&k;njU;^!pTAi&q0iD${%3 zx36BSa~XjY`^?0Ov9h>+)svoPyka%OEFpq~4Q+O~3S`XRs=+w?-7vfPQWWl+aw(S< zU8B?Cc37}YG8p7N5DS2E_sM{Sr-X6sDS#*LrNnAwRid)EP^swL{y=FGWQyyFH4ud~ zy-)wHlF7c<8n@t-S}IGFUxdcYv7>&UJFStAXT@+Vr&UqD6yzD2)_x3CTRZwY~_ zw|}T9a4r1eM&9=wO=Mf@6C#JwwDjZMjO3Oew$7IR^y`B!stishc&1sLzI@A>b7kVz znycEVs@R$KrN>?Y8IHmojnC@cjOn=Bjam)K>YcP5xZ92HW);?3qj%I_uGR{5sS`pd z@PEkV!3fPrnQHQjWS*8w#%bu^<(JYBSYx+IDYukc*reav0L|EtlEDsu4; zRK11K)tgdNuqZrH2*hn5&`izyiN9mpj;g-&=nv8r;x1n#tX=|d?w_WW%`xN5mSR@S zigKc%cGyTvdW<$@Wm*z#lBp#+?%@-`^x33}-066;kcGl6)z$NSc|ie4TBI%BsGDYG zi1SmF^t#4tK$F4llUbFxuUfar8yws^ztm|RTq}v?TNxx3${sJ`CT(5Xq_mf?T}j^d zlk@1K=;RFkb9#jT8AU&e#%E@8AXkEB*VW6wQU3`xvqk={X?50E;N3ar$HQL zsLz1kx?`)TIt2v|DI?}eTnk;J{WCou&eS-S#2Zh5t-Uvdpswf44%OH6gFQ*uTu*1A|53xUNVZKy1ac$c{Y z<$|0G49AmRBK^ITfWoc5RCp(f$fRHr5;4cX7lhTLN7c=GLANCoMY6AdRB0PER;5z{ zD>OsxXl9CIjmO==r__W1`ZGl}|J-bQ_-mnl{mP8?fGZxY`=ub%mXCrAQ>Ci7M)}N) zWH3tj0yp}ZPshJik38UOqW*8;NBAFoaG&b=-y#3+WCzq8(m`8_EY-}%-~z+5eg*IK zP5ypRM^7U~k(`+z@z&sqx~M1t1;JxA;)QjV>^9TZWf=~GrbzS5TCa1heL~z~Xa)9F zNJ*Wgo-DpfnwqK*j^YJTAO7n$b^Bjc2$s!Odz@&Mv{0L>qFvh9JB` z#}ej|t~7_67Ixd>99Mc*(}ye*N|65m?D>F18YWw^3CC} z_>E2+7V!NY(3f}+sGb>(q65qo9uPA8p>eP;?;T0^4 zMM^dwL-|)2nI_$jGTMt)Sx}319>C=8h9h%o7)a&P1CIHt#f%b@I`MQ!5SlO;x2@7D z=vUtU_dj6d#S*>|%$btVqyPR;yVN-WXUFGQMbx~v2jhR#Krnhf@M|!C%d9hY-!XPL zhosE8OlGc#HY*+OvNw@NYJN>Hw)6ARcsLvl0v%B26s9oDyA`d5qFZdZV~g~{vDuEj zDUB$IAtWJ)r#IN8 z`gb87m%_eSM?n{&$_DZMZg7W*XEXrB8$9SZ1f(|VYL0d7N=zIl%bT!_2sR80+BDhy zT@>45mv=#@%Z`=FJmBzjekYEBOJU=v!-y7z=m5A*~kx&2`iyZ!11zJ#4!&CtBdhzVttpmSy+Vv}?;i!t^Bdp+3h6QWLrJ>ud5iz!1p6@Jel zbc_ktOAg@5jkO6u8!Rmis?G7kwK>*p9zI-~hq}$9himglw|V?nTa9$ok!R;H6Ix?W%ckx5K!Y7_YO#+&(s?%#P&VW&RjP95)gOP;~ zsX5uKx=cg4_MynH#}vG$1bu#OGb8wLy@B}-rW!1@NY{#@ayj!EDwl*{Mob7oIdmQ{ z)W@hV7XQ|@1yA-=SX;H%msk$ZPr9f2%T74o`G=A4IsZZC zyI!QlM(C?J@a&3`V3=3b$82|JGnSLIAn2@sN$HrG z4!Q6tw)}X8#RatK^uY%HX5cUT-{{3$=TFi9fy-^q(E`Vv8}iS4+R@?kiDhQ1V{mi0 z+g5`L(A~L5kuOQ6!5gMP(1!>6_TQ$-pw{7P@si*`;YvqGJV7Dk6d{M93Q*kN4#vDz z%CL$m*)Hwy>av`>5yqcCE*&0-jH5^jc@FXM~+eTZPT zOg8(In|*`AY!n%O4?E*ckDNogpc-*`|1!Q}|w|9s*bt{oNwYDqvxs<|FU4JM`AkLQSPnSNc z0zG$-IP--I!Iq_br$xG!phubk{sEBlEBRb>s(=CrfIDfK?*LVqR1nE-Vy#w1Q z7lvc|L_2Em1Gm3;)POT{>-T(&+35W2X#eb3C!wAtORzr5yFt&S9*>7RL;LL_nSkSh zKw`-^8XNcox-EMFr-65Fbs`;<(Or3dJn&%~}?tLoCV|4SSLR zOhB{0YCw&zuGvPsE{+T)i-QG@U0jsTzb5h_&ya(Tmw3V8)sh9t53Gq4IbuD-4XHW-kIZ5Ors zaKkkUoJD$tsBZix<U_Ph<%M8U&okJ?z$-!$)Cwzg%oS;BwMU8}S+3D4 zXs*30(e2iH$8>rrwHXXov=C{I^hvlH!|plFHx@M~?$k1UV8qC&f+beLn=A(ju4yE3 zP0X?SxPvwEy;Bm&Gs<~2)>Hz96imvqs6X3J)08Z!+n)v4XRxmot`#jZZv)T{%ca;{ zWo=u4gyv0vyX-6CF8kEwE_)L7UOfJ|PN?Zc^dn|i*^54ge=33%UbP*p_K%_$f9xds zDEc@+D%0^v9d^r_Ck;@_{A!3>fMl!%380DTnwIm z`UTu>g4y|SUOm28f~gU2>HGQ{kNjY1fU~Ppc+{}E?nR>$_`l=s#j9@NzVWSlRY8tZ zmzGmdEWnlvyDF}*Y_AZ}GS!M20-Yy^!)U$2*)e)Dq&A2Q47mKNb!wX9z zLCrgxRyb4=#?+gVth|b{TxVrZan)ZG7|DijF*-U2x4k*^ndKYFpoDQii4;b1v2fhe zmcx$GMj4$dJ!rPQV(Xxd&-X{CD#1?UC%_#ww2J;GSuwygiZYoc?@7Leisy+?T({HP z0XH9)&fJl)RjQ32lhL*p4V8I@)B9i4h-?)q`c#IAVrd8~OpXeRJj=5T(RNdq0-tTm zOGNQp!<)!VWmwAw%JqXh5~0OM9XDZ3_HUY$ag^^Pl!Fwz7)^4wQm`r}*~li+th`fh zr&I92F1AZYgl84clEw~i7Db{Ml9XIsuuVE`pVbL>YX1V8hpY4Jh7Q|v+8cEFmfZJc zs$MWs-zH+@a3;C!=$e++&P>1(zYI1(N6?a7l0vW~O-3h^tYi6ok2Lzh0uG{gh+D!af}e7P;Y!&xz(6}ne8fzhQ`GPQB0-iMavsZdSUy#2!7SS4j!G%%G>f^-KW9tnT#JU)u(YaM`VdK{zxmb-A(>4DC`@)v_g=7e;L3B zs>!YD6W;!7AMVcWgpTX}@SIpscLy5q-eBX# zP)w1PuW176&949T!56qWaWOJy6bNAN(K;aqLiDLyK5r}Mb-{eTc?e3UT27)0<I5wR?bKwBVj~~BztP&;MvLIyf?${oMkC{v63q@eF)~tED1snpdY~=LY zlc}QXM>Kv& z7B%`{K`j-F=l4a$DDOT5_n~9(1t30^J%ArNDr#RU+5=xa4U-!_JGSNsT4Ko_{FCUt z_{_4gXqPz^#AF;1i%-vTE6Cf~l%VK>lj7Ff5bicVg(GC={~WfRfDZ9XgkxoyZf^W1 z_4&9@*(98R4Jaid6=Fx`h@2Er8Dq=U$4vSI>mE!F!%i;ytDp46=PzHsk=ec|v|;I{ zZv0IaRZP@QMIR7?XDtu$a1>=m$w9khb{(RCKz)mPKWrPLn2lfR)`gz?@Fp5UQ}FYTh*me zu$*im=7bX_SJkWu<_wQD;dPOIN7hwx6QoRVaeLLW(c6FcQH3Eyblz8cY+?p66OM^t z&5RojAA|y=f|#u#`fw=*Y$PYZcEvrZBleJCNq!0OR2d7&%xC%_jo+y{rjnov-C8$2 z4T=n>A2EEu9E9mNJbo}<4@C8qgjLpb7_sA5V^N0~LI0LAigZ?o zMIwX0wo~O!zVb83EPhVh)>I5Q*`~{l@uN|~TdQseMK#OdpT)4T!WOg2vA&s9Pm3%y zgxc$1u-Wsp)tul5l72V!pvt5k9Yl(ChlNaKruNPlzM zkDKG~PDQFU5P`&RYsnJW`=<rf!81C~M{1QF|2pe-DAz`bCq= z3?rNcv8DDDd-uV zLn6_zyzE7rofLUIo5n2dgeT$` zl7Z!m)+5s~*+KUeNq5xvdE3x(QVczSul9gwBQkAoN;cQTg z`BicqeT(Dpg0V|*$ETM?o;72($Pq@*jlA(Rv6Y)ejqc;l#4{eaeiMzcjCDLx4k1;x zj!sAg27jUo+3!Uo@^4mjK>c(`P4)GiDk?fb2A^xlAnngb=Q~e@zSyV+-Go266vchX zVg}q->2n#44~bjIQ`V@0`40C_>*{{HR{T1veo`r=smXDDofpel^rlV4#QCg4jLbRs zuGloHntB!lM-1gi&XlTfZQjYG#;%#Sz0@vyT2SOOAsQMLDe%D)SOXp*g5nJ)tmyBL z_1``7l#Ti&gN8bmmJ${jJ=f?U$MH#*z#X;?bJG>XjxvSquJ@>#MD_;nY@drHBr=D^GP%a%H3W zSRe6s9Dm{aQmuJzNvACEB{c)u>rh!R3k{zjg|E;}3%+=#idehe);Hoor5u-(z%Vzu zy`oKNolY;s+NTE3l!KNg0i|XE^!lPA<<}(gt5g(biMZUh>eOJg#A4~%WM)8^&ZTw5 z+}a^A!KWWaHEKxi}czzQz8BeqO9Vy(xg^BBf9dbTLg6b5TKPYdJ@rp-nBHhf7{|;$UMnwPaclt!0nl5-2s6V5FNCRJikjO7X`;CbFV8o}23WpgIw+%BAY} zoQuMR`|l}{>R{c4J>M!yvw=BK0&G;Xjpx~C_AY?)&!RoL#)dN^k$@ zqY8hn2Q_qPBrKZn(+e9S2?SpK)~a!X%?;t*TLYvp9HX+>VUSf8VfX#lF06P>QAo| z80b_cr3;6}dGddeaY1W;P+NGNmia7kgk0Gw49JrjN}E|)FwP~+^T3BKQpwz;p3*_5 za@+<{Ey{35;4Xtdz#cP86-hy3^Gu~rrOcLSgot}E9Skm2o&T;H>}ei&6LV^0sBKss zbzp0@Wn&A=2biy7%ZwC`c&<ZAOk^4xNa)!1d4lq9Zv;I6l}T7{iS~Q?pq(7s>80w3K0pf zFcU#h7a^yg3Vk;`u`5SGz1abC>FwQ#N$wUelQ3bo$U)S?*mBKDK`>!spLIp1*Yb#1 z1`(HJLp4ln%(U_{2HpNGseeX7t+x>o-pc%;1~CZz7Vy&jjSON1{cU9y!{k%2HH6EL z5hkunlwDl1v)4&{i`uMoA8_%+^2YK~vqF>q4YfwZ+Bylh9G8N!W@ z=>|2)?p6y^nV~fqh4UyTiVaK#kvhZepK(}Azw)q``ZM}uiy<2_;*bM+e|RP#hLn~q zi5!gAhe;k6v$Dcz%3IcJ6SOm-Ke1O?))!1fR+XEi$7q=vyxMokJ5XPm9eAjqWpR&+ z`1;`sAgBH?Elq|H=B){&GKAC3Dr5bWiqfj=aj8x;A4P2h6e*qJ^%`ZB5bAD%pfXC# zZR0Oq^e0x`QMVzhciv!h7_7cFxbkhaiG(b0>hSjAuirmZ4Nq+!ZPRQuMu7bjor~SUwaPuQU zE1f^*oQ?Stp_tMuAXVoRKB+V?ixI|hM`MB4jDiGZDn_ni<6sdIT31o9nv}$DM0TRk zs?VUk?gNaM$g zDG?n#)@~E??baZ7sTeP#aDrd!FBLrczVjHQ(*;uI7WteQne8at{!iqi zvC2ycFK?Mh*1(Fp#&dF$UuT3ay-Jr$#Uzan@{|1CRgN`oFl**rX#J))1+?{B~TKyqU|3-Mw&l?^@| z9oJA&Vx}St6)&3dd#8id=)#_>Cp+CvkeSkIakqZF>irVyQYud7;L5p zdCv%CVQnig1vqOs87ZKGFPU_RbWl*=ty%O!#xA%jgRu-n{ytsdr-(leDx;>JAPdpt z1O=K$r^8{?7Y#3O2DN2u8Uyj)aFGWpEXe_1B{OAosslLS7YxH-Ja~c;Ou5!A<4In` z^gh5%2~Qr6I6!CckfIMg$4FuoO)ae}HQ}GGZYJsgVKz`9U`jfNy=?~Thx%mt8Los& zCjNw$u#AL$k0Js5z8BRT4V&p5%Ylr1&05E1TWk$=hmIAPv6~| z2&!d~J`U{;8C?;m+;7yaEovgYaq8Nc<;O2+ zH&_6Q?$q8&bFA%B7F{i3XAZAGMRY^)DzlQX@hP)bdo4)Y6&RNkziRWG|^s7!) z&~4?$)y&l=s@^$}wki_EvZG=TCVSTp!ww3^JS43f=ebsnW!%6RQSOWOHg;jp!1@^!T*%Ri&Q zaUi|L{IJY>z~OPks^nQsaJ-z(IiUUKW`=wq&%l+rguUzqry|@`*sF(5g9Ul$-O2?& z12!Jp6xbQXY;XS@EwW&i^T63C7ln1)yb}+}=Wo7@4o4>^`y&Qd?T`K2z}m^<0vMS1J2=0&wC`Vr=4HPL=YF4x|%`l?KJ<7uBC@ikc$oX=S z@Ngx?s&wB6@|&o$TrLMipwmNIZ8E!rA}cgEfIHrR%L|U|4R|msIECyCRjwRQVGml} zaG`uoTbB*o7(WAjlHYKcd|ybUbS<4`ye`rus_^U?@_xo!xd^6LoiqF)o}?ER$>hF( z1}@FJa%bwG(yrv0l7&!VrCxPn&J2=fKC36}Qw@GH!*>Gf1x&1S)dBQg*x)J~FF6vzq|Pjsf~M+3dhi_1M-Gg`!J7@M!+HJ4HFo%?>vq;DQh z+S+23pyNPw+-mH}iNFZNa1PxJ5C5-@cTd^C8K|Gue!?2`CR-RPyQmsq4ZabYQqj~F@eh}@4irm@+ziU-jJ6da35H_ zL}w=Ypi1@E|IEf)mU0cJ2jHg@3H& z{vNjYs4H1@r~UQJP~!e~j}&D~MIE<_&xn;sCwV{O3P;vThi@^uK*pmXpoo?6g8w!o zFg=$>RyT{Z@wG)MEEGy*DSX-TCc>1Gd0p7yI$qYkB0w@Sc)Adg)o7+hW%i`L*poeFv~tqTu^RXkA_K((!Ifkz;t}DHz)L zW!q|K`c`^kdAqjX-OOEJFAt0F1>6UIpU zw`*m*&=I5K$QlP?1rXWM^gTw$>(~grl1v@sa4u5 zr^#Dr#B_*A)~Ai#AOSwiS`4~@!LixIS)R{he(x|fVWWy=Y6W_Xqww3rSA6^Lec+e- z8^G3;5;3aO|64>?tpTdn4}#$8Qoziynw-zUu}?BXrro3Ev{&_3^jvb#Wg5on=-5dL zC9PKHFg%Jlk5!rz=?bAIS9hJ&g0t62#kacaEDeC?G1Xsn`>)gfsx;=BI#yWTtR^`Q5638TO9!VS z7g2w@gne937FarA`@`7$dwc2yI3$F{!u2qGI>jNKk`~x)RM%<=JF%nc8PB>u?k1wX zNm#@78H|*#DV@f#79z8&U~RN(^r>Gbr8CWKiA1@LkPU;TswQeGJuafB%n4{VL*f(i z)0VE_oHF0woEuH$>;wu)lA2tWeX!V=O1kHBn*8x?4C}mtOWEL;PUZV6Wp~aKlg8Zb z4h>08iPQLZKHNnTv75x}3io-AsONLXGLC5No z@cbn5Y=0=@_Z%^6vcHyKdA*C#`g(_KlGpGFz`sx(BF@}#YkCGXaKEyrNUq`tpJW|x zm+-Hf3>K_OoWCAnHTXakG{&MD8;U{as8l`r;6K#*uyCP zk%?)R=7ZL9xVSaUC2!6><#1P=#X)wE!$FhqeZ5AW@`fqoFZ==;Yo? zLZsN+q>+0l#EMzt-&(KLE8DJVrlANrzOO4=A;+xQDAl35L(hwOYl%+nrpB&kp5Ib?bR?eKffY8rE}}6Tlf`7+Eh0IB_~R#`raov1y6^4 z4)>*sdU}JjsLTvOY$WGo=lRhg*l`EfuCdHK*!b-U%X)G7QJt4hAdpC$r03l#p2y#% zS)!mAhK!VXFJa!qvt$=xxVOBi>SAa|TwUGr$8X^Oem78)CA!xu)u6NkMO7y~0{k*8D@5Sce$<AN5%1#WYI}&dF|;>y~1Ss{_u<9dvYlbP|1Bz~mv^ty%5d%xx`ge@#K8X{Np; z(!D|Jq8uzmaP{-(UT7wu4W$sR3TYJN*7Sl~VLyl(ZPkHNEYy{@nk9~i-8y_B9cs7~ z)4ky0PEamWjL>)biG=Z`ce6pG z#;P&hT;UTkjt!crlCRL>d+?c%CG_#53T0;q0P#gm@{Vu8$|ZW_msn(oTC2-^Msxur z<8qNMSB-sMZ?oxUtC%1#IbI1k5SCA;QtFwS{Zy@Syp*tn?C*isSr}FdH|ckWy+(wn zrMMJK*P33m29%+$)o1mYg31riw_+`P&d$uzX)4lA`yv|{J1bApx{ibKL0Amo^~m4k zV|wTW6sp~S`EvjHbKL4XvZ(365p3v-Pz7*D4z*GiT-b9u6kK=EjWp=$y)N8Qo=Ec2Nks zAJtlC+}Zv4)`;cRM-6y*{LxADZo9mJ)%TE#P5v4Ba8u3vy9<6-$rx2yYt zBeoRkn~f~Vo*mS@D|BRA?#kcnt8G6#nKR;UVMvPuvp1BiQJ4NHpE2X`{mFQ!17lm{w@t2ze`JLOJ9%c%gh{!f`uv%g ztHfueukboqmwVx6^;PhVJtrFnO}linb&~oXG%kx07#mGjEiMQf{Lhmm`fN$`6U?*R zU_@@2%#l|*`YfMb(l0frIm2$=f*Xtj>W`vdz0$0hA>yv6!rYZAT%X|W%F^kj1lYwI z^2g9Sbu@7Ermr%|3K$H@;$+_`AEW5*c9tmZIIr!;IHuc#GXQE$Dt{RDGL-d@S;1`< zU&ZOtr4VcoiZq9GxqaoK>IL2YgGZeN-73t~U3V2*(&fHN`tSp!)Gv`M7!Ez9BCqi{ z5PW`BXK!=@*J+Kv1N_JDz#D)m{ks_^QOjNsp8i7Ui|Gp2sv=zf>w_=AS|GzsXlKv) z@F~BipLD?RcN*W%wwRbkgfAB4_U93F+DD0)VJ5Al;4QSbJk zNq{q4K1#Qb@PPv;4UrIKbP{(ep7v0IkR8JpHQOhf{tpzs@Dc;+RYtFpIcIWIJ&Mso zSJ8_}vVoOU>DN)q=;z9yhOBB+WSfnTbNfGh;MdtbYpbyfKovR=gsp|lv(cG#IKp1F z@PoCPqbrm&oaHx|dvRI9UN_W=1qi`v2*AD-&;--*oE4fqmk!fRTl= zEgQJNyvKLgzR-pG7if9ouP~$w?J(=LEdy?}$$@9;jE!lJndmeS9cBrp$>DXzxc!YE z52IvTsm|cXhS4*w?E>fpW!@0K)in+ zTe9T|>ai@ai(eqPvA5!HI6k*Y6jgZ-wF z&GucMEThXJoxuO}V{LkheB(2lMfG5@+KqJq1$Iz8_=j%*Zi@Ue3GgLpBswCK(a@r_ zv8sU2@fnCo!*1YmleOr2Q|hS-p1|hEYfbTgVm~B=t>H0d1J+x*)=)IO7|;t=RIwX2 z32z^oM}aZSukj3=K(~s0#X6)O`r&n4q+m0Ht+UyGkrY(pV<8RqWQB))e;JstV)-?^ z?^u$Ek4EVP%;-)$*PhXlHvPL|Pqw&1BdMu$BAzOk3(V@k(|VphZFRnyB(mu4(*_*T zK77o7=`f7Yw5$u1Hi9T|3Wwf94Y=~{ZV<|DtxNvt5pRaiN!Q6}f zitAkdyM&Q<(sKV&71585iI-o5>N>6&^gvgR*B?7C;y78F%g58eTh^_jR!GA|h z@JfvTB7YwpJu$Qa5AV;rL_q!|0(+Xt&|%K(Yh8Gk^Xd#YKD%YX8t+Ic(a^GqW5SE2 z)4Ycw>}_&8FN^dFQSulOD`qjJCgDlw&A<|!VNpfivqa>QBw(3jb0qS2?nKLA4~yR! zaVZMJViFON#YuEc2NGT$Bs|9njVd@Pqwk9}UXs!tj$X^ZYwA# zz<)W?HdUacgG8#UIZjXf#9@a$;A2lmB>z=V$ae@E^1o;?;(Q2H@QOuCjfi# znuOJNs*GS_&*F@m@+wi=>6gkEDbqlx%5H`YA>)ZC7U z2Zc%6f}j>}+#8?zp#wxhpOUyz2(p4U`XsRirm-SNV}~hg%w_7{qrvcJst@?V9CTpL zd;pL_eY#z4nNK=tnb};sJ`Zyu9*SF4;?SPxIFALg%1&Y8Bt8VYow>G|JM+GPg}*n( zsEuJWzaqk?Ixs^ALd*b6p{`p=zFsExWyBl}>606sA2UMX542-@>=zK+7P!y9Buzy9 z6vvNoeW2*TvBay44PM3Fi|Y|9Vq|oRtr6E_=X%R%{1Vg=EplhbgK-+hH0?YV$9gCn zD36%}T8I@FIQ} zlWMS?bZq{`vJWcmfbHoLUGC_<<$eq@`~E_GO%>XdG181GO*}!yLhhXI``H8c{cN|s z*K`kEA%69mM^vyBBRT8?_xgOdUT3S4JD25Z;+9|q&fx1u)xmhP*0V zoy1LqR+)ab(ePoPZ8X%+W`iZUkenkf+nHEDPDlJ~CIwwMsspP8vuo`$YczV`=NRed zsP?9GXj+fd=3)q1k5s`~hfa?lxYOg^Cf1>v^qWOm%rwzWZ&Xxzjobg<`oNFJb|RLb z@>Y_Pz_9mX*+qxVE!NR~v5bVcCHs5PJiQ9k4~KX(9Esm3hJB|jDNJrV$aUCY^YzM! zjdCmO8|;+j2DLq$i80|~B62cZRs=(bhu1MB5;w$?0QoBxoU)Y;uo}FR;XW}4Ai{9A zRH60_bZoUC=G{1}^6mDNte3ikA?0U7xKHhE;HbJ!vCXtD#O)vY!2>8_yL!Xl7nZx7 zLYj@8{)r7VOc#T8_Gn{2jrc;ot{R-|W;K#*!RZmJ77SINJ`%D8h^aoRmn~?9(qA*{ zcjx!;Jz&Rwf4qnB`@_{6 z!!ym|;N7_Lg*<}t2mc~PpA9(OAlE&(y5Rn3nI?Lr6={2KV#qV}ZA{7~-k6+==kU+s za^dXR<0Ao(7F`!5j6rm?UuUEH;3lN%dB*E-<`vPk`$Ode>|;A1&=gGWA%nH9|pARZmkp9X9bEh#%^bz7JX6nM{5`->q0VX{spv#deS)i$H9k*l zN@HyGA36|>;4$Y3E?~50RS7UK{}vXbu!>3V+L?~jfJ$IkHs&dd!1cFToTV$Ub15Ho znMZvr@mvgggX(gRwAflVVxDA3jG-MMz2576n?a1a4zyHU(HwE5&WE0x$&}??vFDc5 zp^nNS@VJ;hKu}O?A-ohA1b-~{%ioQ#Qsxh)HzB+!ZsTlEhJX~5(YHnOt6YGE zPa-4JlyZ6S02@nMj|!Feo+TALbdok0b*OaJBTR9GDlVQ?IIaD8h>L!EyTKkyg;p}QG>IFaX`c8w1WtS&i1eeMJhYWs(QXhHQl|4H6f)Y zvC-=|VF@r@XoH(~KU#01ft7(G0EtG(ypA~z^_I?j{dVAQgNwzJ)hc@W^5FH$p3Fe8 zT*Bzd5Ztj<4YDc71n(AA%U5Zdhj|FYJV$XRFe1uJ*kOBvCa9CnM8a?#(3URcHx8C= z@}#1RK^UZSnX0BX$h00G?T^nLhtpaXZ`c*G^jV@rsefB6Gi;G}HVuyFbw*Hvmuq z-iQTzysg1G+PId`Vfm$SqC8Of&n&qRkv<8;aATiTtW0PO^?L_61`Xkcrd?e~wH8C- z6V+hGeJ)`sUN<_ov{ZV)Psw~qOEwyn6~tPv?6TvD`(%B}*sWO47+~{*M{*Tb=&{cv;YRgzp}?*@8*OM6^IQ)e8NK&&?HYazKi8d->k5(|Ntqcgg=g*^;FJCIF#7C)|>kR$5F0xaXhU1Z4JP5L)RK=Q6Dvw4%PFpgV z?Md3P?ilE^7mkCaW*qi>faVW_9|Yz79-#H3;LzmT0?Tpk)cozZVl3Oj`g@wm$E<*d zEgcWK;qa}&jP4is2b}WKbDySr2-fRJ$-(l?VlgK>3(0v#yKOPUDj$>+nC4aE)r?x8 z^j_P*27o`P^xa^NWElc>$LP4~2T)qBF2$+|vfon#uEQHWJUKcU;p*~lI5g|8J$As! zHeJr7m54Oz`ddKi4z#P(IkbttgdWCe4b%FUAE+yeM7$`niFIeo%RFsuc-j9o4 zB~1ZNGjhO`+(o=bi-fB0s7}^@CefG{-g>TUlhH~?&ihGTfJZ;mUygb_yN%cZGQwPr z2H`T#i(vUEAJOA#`y@Ef|MDZh@R}-s^P;Bc8Yb){&8WPwo2cm}T)LfJ-Wc)0orm#{8@ZGfI^Jd0OlQ^B>P&t+S~t=&0aPB6`$XBcGT4E#SY zFf=+Fow4G|XdI2s#>e2X>k9{!rK7Gon`2d?D4QczTng$+e>wHpLazkDhfe<1x^sm%lP7Kxk8!{*n_4B@0iykdHIZ}|64d$Uo{ri z7*nTHc~+KRDT%NV1x-#vc*#(5xCJb1Ow*UbtMJH7p2A>%Y$UdyvQ)BNPQwhD*SSFP z;BsF&;f1lO7cyxwa$0;GikC`rWdxGxFLdl^TOdJ_QnuiNSvLZxSLwHKCRQS;;y|WQ zK1yE9<1GD-e+)$l zWh>^c+vI}im2UslM?2RWFwRTa;9~b5+^^Wc^F=%${lFq$4NgVQA*^ACK zMq)2IJ9Rvm=28JizrFdxBiL zY-fOfjq~;VPLzYk7Q%5#Rid~5YvVentzT+$f5z}4*`jXltin8DT+Vx&xP%-j^p@%P zE zFu7rg?c;rq2ER0;e0(;BFRWh3K}#Z3668C+zP^Zu4=k=2Gw3W!dHYvCVBWu3^1hMK zg{ty3@WCLG={nQye3?(;r4+(LfjzbEYrjtH75avfL=ek?nzj=~zivb^JsNnNZuts# zMeOi$na(M^iwcyzK?~Kpp_5V7p^|Ukl{(OHnK-?U5x^UucTcsIN(1D|Uu<#DuA5q% zTTYYmph)Iqxg{8Nb*W9%Lkkz;pQq(YS)^6yv?;ZaW`}WfxdfN;7sVF;y}w=e*nSY^ zEUrFx3v`7RuhCh=dN8&uzpi%V!Xy8n)de|TZC-{`^eQhusG!^^bIPmawz!DJhmF%8J;{Do0`nh8blS>0BeG+@4OU_(iqR zI^U8EK0L7=WLsF}5Wc{~M0`uV7Sedq1<|&w5Nb{1;$eh4)Y}L^OP!7F-(s#KH2Wf7 z=AeZJT-_ywW$)RW&kY%!8?jUkOJclmYYKLKXuga^e%*v_ZX^SbBy!8;7W?%g1ov4? zqTi0fT;9!8-ee`1*qt5(UfM2#*AMaF?kOU>-n+;u*uS7ztN{jGa7w3b&W|P ztBVHB_966Hc#_{NUW)b12e$F( z6UHMD(Y3%65y+Ix`a%P9)3V&E&kf!Vy09)15j*mE=s>hYxSLhyvcqAmTV!}zD%)|4 zYdQUa3)=5hA@|y8FuaHoI&QOr4U)U=MkitQ5=igMvRUwM|f;X=FgN$WAiKAQIt<_RDl}3T7E);&LKQ{!2$zDiCKSUhGPItkfg^R zFm$j-Y2yow81x1^DF3;{dAdx~0W*n^sbwbSrf%>VuIw zy&Tj+{cVc%CSJy?v{xUErgoiRbj3kCiel6$5JYJ#;)$xCL8?|hL}5{l)GuWG0%eJ# zMSLv)ye4_hIK^k$9C0K^<02C0krks{0_i-o3FS_Tc(Q;gwhyxsmZ`+X;%x0*|rAdBZlUq__urKr(u&cuSx0B+d(Mb z>GKaCfN)_K`MhdMtBFD?NVrzXnx&=Ari#>9TH3^_&YE#^DqvgI5wBV3!RRqURz}C8 zK^N|=hu74r=JS4i2WvEXd>ZvnjgWdP*5qzHUAvJKJP?rBJfdQ!JE0KC?LS^AGnApz z=kd)3R^I4%I8@F>dlliKGLJbHZj+aOl)Mt3atMXJyLU3|vdOf^{J}a)9IwH?fTeFA zg%0eZy;>1z4F+?`4P;g2s|3&5pWN)@bvXC&-}t|9iK;CS=31vNk=Dq&Tw9g6WG=aI zPItlf$~({}R=L93ZS?_mLXcI9{}5ovQ8Xk_!ZZXYl8gzKWZ4aV2qi|iuE8X^f!PBF ze>RDy3q$pQ&@<}5BDdQO{`>!D?`>lxNz(NoO^-2H<_Aa!i$5r}Xtz#jPjy$F@6)Rb z^mI?pjBj^O-#IfoyWYKAWmV;=%05|{wV7Gx%xQBBNbmo#l zKL81ABpY3R7%&&ps~S8mLZe@mv} zBmNQn)5Z_aAD*f24k)|u*U=M!q`f)rlX)tY=CwPf9SAC9C4}_e>jZ#PUuN-AEu2{W zh=g)H*$l!3epM*TnLKHvc@d5Zvt*qPHCpSoRj)YKzPK+gah*n!fq5cW|OM zi-iqjv}aVDxKQxEZ7qeTU8Kk6=qOLlPY*RN3!-Aumj>G&9bEW|-P=%?y%tv$uVVGV zJhlWT7xi`vN5uRV=Y~Doh(y@?Qd1gjF zYzYl7B-faM1#ZFh!WcNjqL0y`Kr|t)^6sV;(G**MrQK-SSalN*-`UEGGmb36b3C4S z(Eh3y@G0(T$7w}9wUNaQ=qHai{5e2iK$_!krEB{LdbvB%@X zhm-Lc;ysxYBf?JtKR&=-;HUIA{)$s&l@m(dZxVK_R*zA@f=A11HJvkXw4_&4eb4|> zku|ox%wLUc4b%|&dRTpbd^==)8=j%hb~ibU3<*GUx9i;O+;CAVQ(bT=8V81I)iH~2 zix^-3pf8-r? zJrIlnUOyQO`}63zkrwOad&pGHmZ?41-8X4nFu>9z4S(+L-}uN+_yzEScnVuNEsWzV z|Kkd=R-M@r;M4U}GHZS8IZMwJ_exe@{Ol<|P$UIf+ZBfSS zFhA_<8Z@sm z=nQ@o>&*xGbE38lANv>>o}DoABv7rSHmI76SzvMo@m~{ym?l}!tRd_Z=`#K4rdJxNjOYTLJuy05U+$znuj_;T-H*u-k=8+NnNQ zYGSn%=-MNO_gf~g=ss&Q<%`2{)4xcUevu?Q2vq&wAGN|j@GQ_= zYN7L~5V1hDz(u!`#<;A}^3m{C7|c+$_bCcrT{S0vVmgKmuf3ba;XC%g_6SHjW(4%4veNM{(8-qP?ji*`$>r$#?;Wqct|1yuMN$}_&hG{xCu8# zAOA>sbQQiMgs!VRY1$Dns#oju%G{osGO7!Ivstb6pnNzAUhxnCA3!4J?bpbm2tZyQ ztK938Uu@EAh+pEJrWnj;U7e7f z8U2|ecLTg6fimg$>cIbHRC}Nz32MPfGnR<{3CP~A(pg!kcX_536NDb20f+pAq-VkM zk21hk={b1~O({PJgf>U`7$_9&)rg=PrqTO8I6T#bbQSzi4D}1Bg&b5G3ujn^IjcQu z(ul{|dKv3hh!hTK5sRcl3tiN@uzYlEPaxy1y=TKu%5a1ttC{QWOSMaJMw33Y zQUQT!YHV9@wyZX*(JKB9{%em?XieSRk8MHl5)d?M~y!lwG zhJY}3Q_YDn_O<$evJ$LQ)iTd-w9EXs%`}24nA=i)XO0ZTi$!xnYKew1lmB z+{OYPs*Q5E$$xnY5WCk#xrI>(xTV4;&RTQB2!JZnb=}oNca@Yo8-uD@1==@M^Mn$> zhZwDzjN8klI;*9ca~G_h+EOe9UvPtJ;r*X~5Pe_AE422pk+}Cs9ju?*1BHH5YW}u4 zM&c6i-iBLO*P=DdfanPih1&-Dch^4Ppz215`%1a~@WrN7)3b`zD0geLjBe*533;n_ z=L)%^h*4EG-|}$ilD*qGgF;l3@%2LTtkN&AK+854=2#U!;L8NvYV9np-a}iXp$Wg! zu=Wb=K;*|7*jb1g)>_6OS*LGPh?i(tLOB9MLbn95xjfoQ(x; z?GF9_WvUv6>Zo*)JLOM~J?UAalISa*rv*`ZvV;Ya|rSkX!m3D6Zwz;qI!NbG-=WTJDq{ZUlb4(Z%OQTEY?ah>QRE}|U|Ldg1}+m%Hq;kK70o;dmEP%$i;-v1 zrS=`xn^IXu*0?6Wk*aCvD}iZuZbsL|4J^0P3?Do=A#i&(z`;K$i_5egA)qOD(A=md z_A#4vHtu3VydvwO%{U!f8q`*nAqMi9ITdS}(8dG+NBFrFU&UT}WfvAjb{WEz*%9q3 zyDG{;-A)>7vJO^^2C7+|K%J1t5)rGqEUpsb215dAO4C$Lek3oJ12KAa25&G&0$CYm z`f-UJemFp)=YT3o*TUByox>VAZ~lTecje!k#|QtYAsVEd?Y9Xj8QEHO{Up1iz|mfo zUL_fBOxCl8m*8J{(2KE#WD9zgeFUkton7`V;EGHAMjp*2eSEL@avzF8r!##GMcCvw-7{f-8k~wgr9=1|agRpjNz13m2DgW; ziSHsnIw+P>8;dVosn+M0AHNSmoiNdrN7oSG*6G!UiF0c}%kF`tu(oIioxtx&RH<^q zO4UB6?}M~bVQEn$ak&--3fs#mA43Y z^&|#*8JBA2juDh}E;MWzS2bhVizi;Du3?L@nWL}6`hU#lw;S|-{y{UG<)!tfadnl{ zBCW5X3NMN(dZN4>0K>e9ui)X7Pz+P{t38X$D+n8?-w|=zN)0xN_M-b6X{ZNRUstyoW>&MjjT^{S zJc2v9vCNI&tvMx-BD?>lKyNwxNP1~2P9{3%x&&^UN0DbWCTdA(yIfM9wt-2gogw*a z5dLgFs6ESg*{620DC^}77JDF{{N3+vA=h(C!ANqF*e{A1QSdgp1-o=a&Zpd?U8BL1 zm!*b*ww1wXkY7{hrLt*m#n>5EMa%rg2rc5(op}XnzhKEqbgYW`ZNmqW<*WEht3{CE zQSKg=4a!NrRBau~QD*(}jO6wFNrY_j2k7F06v0+MskjkXKp0GY8$2+LiyD|f?l^Q5 z3Nl)^=xwD(s6!(o(V{&IU`jxO({f{};|#OHoLi&e2?!94Wq|cxwWPIRabE59+^!Q! zW{0Fq^;8g%3Wnva&QmwqIY9j_e1C?ItLBYVB}-d+_u3+q4bYmgBwm?7LnMxDB`@!$eYIER z8rW4}svCK}jk)$qT~~FE+V!W~(|G;K_02hu+^BagLsF6|M(1?cW%_ifp<1wdL-rI3 zu3lK=y6X6AuG>x%pZm~Y8_pfrl76nB9-P~9O{UH{^2}{Ye0Hkf`Aloy{jWi zC}Er*okb%XnWSdbV#P0T4mbH#uJ&?n2%2TTw~qO=Baefu+cmz_>tzWzk7c@8W`Kp& zn}xl1qG!W{iPIezAJYMJ%ofdxMV^{UE_FENj1(to9-S$$(x21@o7uWgb(C(bK!h`b zEX}VVB4&~fdS&4>VDMFWX0h`5ZeitCSktK<8F*7VF54IuMbO@TQ1As;D_@|)5gMEs z3=VCkX6tQ&wREuO{R@AfSCCG|RQq@U4B}E3MDU(sE~aXYF=Np=X6++&m*J@W%dxb7AyD9EJI=uFMj<1f>=vH&)@wk}BUO+4@Kb;MByX5yP zy?8Wb9*xto@Ta98N3f%cAyzNFl2)P_vdIL$u z&b`?^1FZ#kK6mH%bk~oU{9#6S&*&YD=uQ16wxvLrHr7po_-F77O!(mOYr_~9K;w1= zRsQ?YSA~w{=Y2MaE@* zGWw~#jg!$aIr=AbRTS9-e%Rt?i( zr9S&yc@VYg|0`<2e`*yl_h5S?0%yU4v5s{}$O}sdln1KDL+Neo{8JPlTQN*-$eiJ@|(GGYCtL~FTu48&z zO4sDIb|S27lL@gb5;!OaNx&U$OIBDln&zy^$!Q0Gc)1*L5tpWfrYDfhQBUs;9`@}b za7M#U7VzupB4vdymT^jC{wrkw%nKBiUd40eqz$$Q40RRk>!ifhO@v#rR8n*cGY=Q& zcOJ(zva7^VUN-hk2@oX>R{m(6ih z>f#EKoD&e!1FW1Ks$Q!@r*L?OyPS-7y31c&!T`8Vi)as^>^_AIUk#sU>E$gvnVGVB zLDK~wi52J(o0{y&WY-~1b{Zn6)tz~B-u8SZ_#t5u1i=+3mF+sngPjK1oSu6<_TYWN zf&B;YZ6j^z=9^{=VG#vlvw;E5?XOdN=FZ+7xKHXxDHGuBT@_g3x`Sm-EV>jOaDw>N zGPxui_DwR+lL|6akJL@8Cdy^J>ah>76M=WRivJ9fboE$!VTo3fC#>-X&E(+#8mkm}tw)kW!M8*8gHY&t=1HYw-REm@?kx>v27Y;4G?;Ic%=U<>C0Gox=GP5@JT)s{zLiF$%4g3oT!a z%;K@yE;+=}H^*J`v;#zV2lbdI=jTUZJ!WfM=rE+09v?hK6=qiawVtnPCxaYRq()N4 zR$WVIF~9comjO`YyP4`~C_~|qnnn1pI@aZnZEyB_5^rvZHotO$$>>q=x1B}XlC}Cp zO3e7?!vVj_PCSjDmjUOdD;Uxg0*e^Zh*q;CFAFmrIspArxB@Y>S%XLcXf)G;@w!0? zNq`Q+8cE_A$vInQCYZYzG!h0vX9|>?_ffZbqW*gb|HhU2`N!>KrJ6rlFD`h_vD!Wj zt_d``>tbyx#gq#O9&X;?I#!4NRT~VzwhO<4?fDf1G`1g);MVe?u`&)d2X5kNag700 zPrFfe)sG-c-jnU7<*q~BsLeuCVwti=&S?W+p`u_ZnD@vDquNQ!S%%vYkX6^pk3#eS zI0u{6Dy@h82Ch7PEg5=c2X2Odm5jK{!5Dc!x!NIMMBHDW>2ftcHGhh$jEbh5OMd03 zXqsm(^BlTwm!5xn*_MlQzK!;%ei1O~Vg9Y**8bJ`xY<5{yMOUPdpVrXZ!M7qTm;3u z$fo$o*1O8$I97d-MR90Q3^3a+F)+s7v2Y-uu(AX~28TqUCGr?|D6x|kPDqqQ9T%`P zkT;P~-RXP|df5PFfizj5)K02vav`6E=xq~ncT#!{FcVjb)$vtgtWNGi*eCYEw25a@ zJ6+Xpfx0)kwX#Zj)xFtzH`EixwG;RmmIkU{Z5!#`e@~${My-CkOh9qGM0z1S-~quT zSLe6OTd2OfRkn@wwa38RrT+h5APuE4GSX8_Sv9Mk(GePM@{VdaaYNpI@ZbrU`oKE4!m5*=3Zj))4eDGesBf_nDugLs;EMhv%B; zwq9a-Q9d41!6fcjr%osriRUVpRQn`r&f^1K{VmVy;7kqZaI)oj-F@sROn(LMkK`5> z-gPsYAvG{Na9z4^8}?L*Fs+>+4f^InmgN5rhU^jy*%ta3ZlSdQ*J&BpbTD^_f~!rDFwBY@UZoThE09Sy++`BSuD%~3%-F)$MU(Anqirbm1EHR? z4b`1953K2sfra(5Fyo_t5g!#4&)l*=C903JpUqL2I+-o8Sg?Wcr~soR(xtR(0AVs*eY-C2m$VVjBjKR?(89g|=|UjW*F54Xv+oAi`r z9v|Kt2Sy0TEjTaIuM@bRp^6x0wz& zV-r9njf?bRvxa;H%P`RAPR@!n#B^#^ZS`D~kN;NhjIt3nC8HSd&^BLz_v=tj3vy`L zDvigDu%kfHdRGnX)}j|v(AcPXxezi!gOG+w1MKeP ztEl(hWr-NBLk129(jK^ndkEzm0crH%SwC4eS&hNfjl3InGx=n;R?}RvWmlwgY1@qA zq11ayeG9pj*oTyH+l6DB9614a{F{CWZeyLwZO59zZ@J{1E8MmXSKu4Df)0i``ow^h3kP zSVQfqH*snO{y+U00HOc`fE5Tk9QVLm35oz26mrSJnuHAe*mNmVGs#V272qTCW>OI7fERiHr;TA}^VkFL1)?1WI%UkXe$ zt`Zwmac|ldJ7Xf411)#|@`FYdT6hM6uCvr4k@pfPHES=Xl27!pS4HJ;6t>q=31QZU zlapxg{Ad``8F}SW#oXTG&H_bbznnWed3YY}9UbfYGIe9G!en%vIoA>~uICJL|8AfO38 z7vf&(0ng$!WPvR<%8Ooa%1rNCOwck%KRguh(ciWCnT`Og2f&0&!GLLPx8ZX4Yj~PL zgale}pE-?{<2VFYvI~B$m#OF0*M&04yBjmZa~t9pPLN(eWr^4PvZ$l=tY#cG9B$y; z!UEmQp!DE!quw_4BbQhmA59xaBDNCkeIItgzecjrsKrUWe3~H#AR{;6Q!n{tx8k26 zF+l_`;%`Pjd!~O*bMTvjMyMzkX&h<7I&}oYFDSw--(uw3!X%>dp^{~h%`J3M%LI18 zmtdLR62es(Zlpa79~nh6$yWri2Riei4<1oV>o(e(tcn>J8Z*P21&#m?&Liodq84sf zkpA&+b%NaT1aE<28gJ)QBbdl#DVA4`f&qd-iikL>NJ8sual1MTc{Bq|rXu8lxs?oc zg-~^Yw@p1DTmE9FBZ8-;;q7{A@r`(DCOXY&^-uH9oT^qGI4T zhtbc>ZC~I3e^c;cWwRnvyH-@kC4`mt=EG={BLPl=W4imhkO@OnUUkre2?az%;FB~W zufivF2I=ov^t1rP$5Z?kYKo%Ip=|7yQRNM1%CY6m3FYO62w6z)l)QVJCQ{p*+SQ`{ zD4z{Yg2H{vG=!5_rHgs3yizh7mLp?~jW-(qs!8qUIEP6y*h^m(}TAD$B%hh?Q!7EX>nC zOyFD0+HB^y=D94~x#6y2Yuw(ILwBV;!!JV-^d&74{IQunOO7M@>e%EopIecOTG%J` zGD~1#+K=U~=PR;_U*Y(CM(kHlpFFWzjV*>*tY3y1z6_$xy=boXmNXhlQf74rS9-^{ zWq&YEb&-zF!b-zmFBnYaK5{Pm^d9{sz?0`2b&S@wLA4OBlDf`}3Sw5lm+LI~4)+8y zvF^Q zvhwXF-11y886E9S&h+C0$I9TnQpk1?K)o)CD;>VVg4u?ak$Ro6bKj$D>3Inx<;q2b zkehX6-jTA)*IM2}NEdKEMMA{e1={lY$1sP-Wa#38BTFe^-FMn&K3k*eVJraNIWOe zQ$W`zb@Z92*xXKg((TK3v#M`nKBW{$ui5rh0d(?FJ$ormY*-)1)4RrMi8 za`#h8d#Qc9`7+SbHbsE(Wvwg@?ecoW9hX__v8uf7cn*i&bG>hJowH2|>i3y@f#K}K zz6k8qx8gw3=N<)8h#yoI3zpChVZ!V|wFfWQbT;HN3-}GBe$8D1>S714d7@Cz%D*6P=Y1(LyjjCUF6CY)~Yy)BdF{hGR6+W-=L_(nSJ*q8@&iRoK98Y=u7T=ELxfqPH^AzKU;~A(3{Q%k@6^ zk)t0|5>l>geWqOEdlFyAX@<1IR48%xZ+)~?bfm*T43pM*CSr4o2&v!dX#z=9=mg3Z zr!o9}d-k^zC9TQD{Vm@x3%NC=;_QIG2Xuv~A?n7xIKL!jkJxxv|@NYt1 z!Izz}H$IR82#b z#Tx*V?ni2|D8t~^FLW0!7L}$n0BO9^wgJ&#gFftlp}7T0d?+vpqYFNBe`)iN+o{hu zMuU^jkP@twLH7W>yaC%qrq(JL`?1jZqU6ajbaN)Ct5#S(&u*#hO>!AW$jGA}%J~ZB9p(Q_R*os&fYM7PFoO7){4GRBqvguM8s!*IR%ht}e6i zq^)6jbXHnCj9#}L>>sLTSi4pC?D+1tKWeMI(KHWwVLViuaxxdnTL6)xH9-<|UZr`x z^h(tG*5^ELSsM=hpjZO0^;`vnv4U8!EfqI%1$YdX(8478Aw87?{g*@JT!RwGou2bW z8nOsX2<$%iF_ETqTd2GZ1;-tRPw zl+%PpHH_(ti!YOSJ%q*`;cb*y;*c$o_7s<`mjsHD*!NHmJNg zBvUQQ8aOD-2h}EpYYe!hQU_z5213pDD<6zOkQ%^ThzjEv4vZUuU%(TM8Q(ORC-EG< znz5iazgH%ZL>>+-B?WA0Yvq20 zgw#|Y(-PuY$#?2K0ql5k9+@_1qQH&Wc~FP<9~98{L`=rK+ElonAFJhUJPGA5!`kHG zo$o$p=kGFS2LHT7mN0L!&Uc@z^LLr7Jg%14sq&a$ZR#A?WW4*F;59T1GNlo-8VMaj zX+RrRB423`b~$8%%BP5|yZd(>mg}dj4Aj)sV_G;+txR*edbU;LE<~;L4Ul zuYowV;f40c#Zr=5P{1 zCbhE|MKQB%MSNv1CMY7zIC9R>O?u&3IA?0K1Rr3)|A@!n6|{;lt>qj5zP*MV_dAGQ9+rIg0~MMK2Gd z=VVrGDvSwmC`RpjI!43DVnWXWIAB2cz@h+VL|HsVzOh~J&)(AuY~dZ}{_aow!Fvi)7+e#pP%`zH-*9AR^Z!xMlDmQp`BIUvb8b4H|&lk z(cwiM$I8ZL(zr1Ri$Y*f-R6YCO+!7n^UlGY_Zi#~4-Vk3^|I&S4nu=G)La6Zf1Qux z;PBwvKEs=ol046$cOOqWo1gS)9&Y9+bTdbdn>pz0?cjsWbuIJx!e35JD)(k48hnUJqvXl4b0xYn+OP8 z5QuF!Rqdr;V(qhM(-SV?h!(Td)Yky7Eq^3a^m0Z|AawZT>(?e2WnPiV5qyPZ%?%X{ zTW?ijokte0DmxjIT_9(ep63PzxsE3Xs*Z1Zs`jp~#HH*>tnQoSbIQ+8T`0iJh+k%v#hOl~9bR>`atU zaG00CE-b?!ATOZERNN%x3|ciy9qiyzS$KkQD~qQ|7EC$P)Z+KBdO*A-oeD$~jt@k( zvCMmF>J+;$nKX8j_FvvsjCGE%OcdtG|k^t}hKs-VI3?e^?y0WO+*-!VTu^PK=#YiZ|S+Ov5|Jhn~ z%jh)zPQu_I35NQj40NDJuF(YI0qjFc45li(WeqTR>oi$D63!wQ{buD{A?#u^X?;`H#?N=mSou;h_pYwHEDd-hV*Cn|6PHv24nRqR*tm#|CL82 zCZKk>)!(RdN4drNxx6%&3Gzmdsf^T}*2^Ntg77ejq;1F^DS}Iq2qJMmn~_3o$n65JGYs50GrH`J1j%~2Gu%QVw~PBqC_>S=&BCFx45{R;MFeFGQz2Zr3t zK1PWL02)h|WUjLsyGmDTE;GhCs)4*Mpd19Hs&&_z&@={glsa^9Zxp`^YTwexjNt}8 zYPuoD>d!Ex=Q0d5Xx9Ra16u)(awC|g^MFV>RtH(39?>{Hcm{roG-wCUk1dnsWu<)SpF+Fy0#_halx`C~Cp?|pZ-E?)=d2hO;n9XMOq9(VxyO&^jLA?twpd;|q zR(wnJy9+pND+l2Gi|pWQ^O4(401>PC2&e)VLIurE?*62&-02IcaAGFJ(BV4fq5KRB ze(t++pTq5Z68?LJXo!X46p?LgsKPxt7(vtrf9VWBaClak0jx@9+bH9Zk(G!An}@<5-Y0 z;fmKvZ^2e+ED$hs)tllp#hi{(TU8r@H3y{3*Hv2`$~mc*z+}^YG#!0bn6)#I%G0X^IP? z-iQzx14*~q%S@IT(^~#aEH1!gIEeS}J*!uQs zHd%1qC|C6l{p}c@CBA^KP<=f>7~q(#TMF3i89X5Dge{&)8w|Wyw8h^=d)l#+(R7YP z8!m0l4SSpC^BB@aacQ!|@jCJ)>%ZlHbEQ^MI_~F_=yh4lH^hKI!kZ?b2y6!+?!#?Q zcWwKV_O{hxxCVl-T2Ibu$F`qFFN-;arLg6P(WiNh^?J|H!=iCc2te8-N$gzuyv?06m&{}Uii?6r}_ogWH8F{(uy+7aOg)or%#+xuX zjgssdG70MJF@ss}JebbM3>KpHM;E)^=x5%IikCQxb))N@8*Lr%swfwR)Ofk;Xg_Zo z?VDnmM+-H_Cd;r~@7#9#{u-BARF~>ZsZD(j1Q#$;`2rCKPGAwjyRiYWP%S=`LYSyO zChVmOC;t+U(4RF_vjSD&bd0qNAhuOw2V-~Km|MZG7A;Lw<&YlFiV=UjukQ&pH6gL? zxWYbLI~aNiSZP%RPYWv72FjGn)o1#I(Bjo!(SYe8%+XA9`OX&g1dFEX%D_U_!Av%M zjvG>j1>!P&jZqW7pc?DUuAx{cqhA=e!MxJP^%DAq{|uX)+HMiGy{(8Fe=QYLwMeYE zU1bi=^Gj(9&eM5Bh8Ua{`!+hirElx~=5tfPZAkpCi%i*n(c>sph9LQz^a)?=768wR z3_K?Qf4AvhL&Y>SWl$dG=sS8mfppX4%(?^I*U8a-^aWg0Md~MNC!L(J!UDGBs*+I1 zf_nq=-h|Tz0h(5AoD%!WS@ecO6lxsD`X4&~l_XbHr1i?xU%ccxeUIidc#g_#jnVF5 z)-b);@9}>^EiBFjC79~{9_lxlMe7AUDRzXv+pC7#R3w%~0VFd&pxA<1Czonv;^O-A4}3!0 zfISKykI*aH>CivFiY{j(Z1UH5;Gtp&PD~Y<6J}_bk z{DSHQ&_SSb_vdikUX~bwote3L{!#>q%(wPjou>sl0s(miOSh`wZ-YzaJZmPaCOB2? z6^mFsy!vgl_ww_%LtAj5=3spA@YG=TK;%S#C(IirB2VEFT2P+%G9a^q-0}w_7_4>n zYJW1YyxZ7EmkZd4E_F=Sg-z;pBx>qOnS@H{MVq%;3(GlishF9zNA#SMo9dBz_DF7l zt*n$k2%Gydt?8C^M)^i4cB0{#zGW0qsms-Us3_2P3y`p!Kw%FuNv#<>J?Rq0QCp-- zE*YJ*?u8Nfy$*6W3ZZ?@qpbVWW!Q_*F_`rjqG^w~gX@ZS(V<8-p-m+jw zcnJOoQ4LOXP5$0MfL%rKS+a##$I>2@x7~BtK?39|W{29^M#}u>8b_{2FzRN!%L1TQ zTTj`X&m?hB2m-H}nt`_oh40{k0LAZ8hpb`98 z;`5%W_hVDbf$#@GqSuz?!j~|Dm2pvD_YiT{^s&x}00>^y!8Z6SN6oF-1|#&^;3i#s zgReh(;^0iS^PaeTgkoj86m}kBzjj8X7yq7MB^Vle6l`k)ZeWKUK5_-F>83O!t9c*n zPVmTzbqAB{s_U{l1u0M z|vgI3j9RY)oU~!n=p6Fqlks_k*KjZrxV>B}fcHd!W(G!9 zM_7~i$XyH(UxstGM?W79gkP2*4*X3#yFxC)gL7vHWimzT%+5jRAN3xFzCa8_xuz+E zuHu_$@5C8`JUZG&pwE!L1K{6p>)#aHH0j|`7bc$o z+QLkbVjs5NV3fL81BeRCBQ^72-P|)-^waE?>*!dp+cxV$L!C^*A+XMgo|$klHeRRPeScG2v-yEAp?@^WN2%jo1$fn zt%)rzqn6>t@5qZJ}YVx-L$$skOPs7Xyt>Z^`=R2m)Xfudc#UH8QLb#yHYO$g_m z*2J(wOSzwX0|wgz`V9aF%ZpS!*p2c|60RJsglwJbUN@|RXOVnpt?-W`MrN1fW0hb;4^KV2=cs8FGpAexpv1xH!LHy>#;M`YgA57Oswo5_F5ab>GFw7D?VmV3SZl)@HkiGp335^JQfcZ+$HUN5_m2 z`%g?DGkvQrQwDVjE;42M+%7OXL&48^QM-^Mz&23ToWAX&qshbZq58j}hZ%1~ ztQnAVC0q7(owVcxXF>XN%Uz&LaLW>^pVeUl2Q|6NIx&d{VYw-hJ9)L* zY!UX><~1zk0)EfW#ttN~^RA2ah6DY3z%wX7<>D)9oz7!xa^TAY7X@2}g$cFEwi(x) z=I=+!7tP_sO({LuXV9ynEM~yp+t&6={R16|rw&Azw7vbizxAL;?6u7d^TU>bh-ixd zOk>N|z6md%x2ZbLr#H!Jr-)*x%6w#bdMYHC}5H*^E41D{9%y&)rC*Nm8U zxk(==L`wQO93XZ5#AdFV4rjemSP78g8nO?n#kY2liJV3UgLjLPVo;Z)DRzmF`u>bL zuDt=)Czw9J`%fKO_UEdH5il(WEEpb zI#s1cD%~?Df6PtUEHhEb+alK~`~iR8(wkr2H=5p#unE(hMy3^+ngM(VkYA%HHAqOd z4zC2}9&$ustzccjmCl9ALt$2@hIdA{piUYXmT{MR4xcZB0v)^-2uSES2i>vAmAw%m z1vlm(PjdJ{X~POzqu`Tsoy?~WrCd+14mEK|@3{M+uAi&3CXA|6Hd2wWgHua?_t~8ur;M<}-2w*50i{suLg7!UONv%Q2I2zLk8+o;h8wH0;*A)(Fk+S_#XCaIQD zs3Oyjz`i0aX>5P9)_b)x7O;lwaNK>m{}7-RnT{5N0j=$tHoffDx`u(>pFBfKpqYaJ z%wSYXQERRMJ{PllzrpjKf`IfT2A(vviN3IU5BCs0k{a`fvQ4_)R-8od&{?eR@Kyvt zl_8cOwT5|Q^o!KFP18BWKzHr`?(ZXuANl~Zao;*zP5a;ciWd(4%v2mv995lJT4baL z`~qQ2ao!##U&o6imMIKMRdq2lE&%{*TBLsoRwVARVd(08jp6w%8(UIy0Wy1|>Vx9O z9Qw%AhYX-Md9%ww#a_;~J8(h{R;*7F>tfxdaT?GOdyz6(ePRJ7mnaENy`q zFg}eyAYAfGI{5a{3kOergB3FjN$_15&J0`s&Fb6ohhF-59#=~t?|yIy*@2T*CG-Yv zx>FC`)t-qFNm&=R0uY1o1n6zbpSNYb3$Czfk$KmKaz|doWilg5zw{7lXb-Lk*#ycptp<)&)zQY``hv&78F0Co3(ipnFQdTGg` z%+mWD1ha4u^!X@y0vuN26HlFa_eH~th3>A6;h|WgJS0h;VqsOVM#MNbF`jUsOZsKb zwOX7TvC`{$QGQjd;+)dDNYutR^j(@#h;ec-^pNbDHy11A889s_i$EI?P{ow!jB53y zm$%Kr^FW;){5Xa}@1_u?TX^1^YS~}L*h!nV_&~~*Gx;OM@O46#f@tY#opFj}a(+Cv zBviIMvh}dmTCU5&MA=|Wee3{ogo-jq$GEABRWXHn5cN1Wmoa)wB~??B!^QL!RO26) zJ*4B{m?FMv!-`kfHt2f^yEhdGXn76j2WnCoLZ~{)Zh!??e*?SD?|$s>IyRRnp4(b& z^Sue74u$Z$@j5GIABU+dS?*1*Y2u_-PaJ%IYf0--n6gw890S9*L>N6FKuksq@{0@L zcM%maP89{{+<+gf1#mazbs}q8=Mffcr0c4vqE$If4O_)^S~26hAhEeFY6P9EVZ_7= zV#Lj!!6n@UGKO+;p?2PQv7|NJzl+cGWj(uDri%sRrTTaBIbGDVi`8tg0rs(K$6j8} zKI7~9c9a4Zor_;jI+Wr%oYn^d2kvwGG zu}iZ{hJ%>R5evGrUidM-ixd;qofI?b$)1sAlFpMdOlGZ)t=a7?qobqLBo|%{{nmSs zN1F{|u~e#a?ln5z+P0~I57=v79lWOOhuigw;+r+?@&O|};gMR`5JV@t9zGE{DYfJ& z3nq_R^%l(0Xy8N=^~~T%-xwPFFj_sX9Si&7w89FVv{qwuV^CxY(SI0N9`dxlFSFZ z&TP3QLh)5%Nn^z_;>C68SWZr*n?a?&Ch$41aoTh*-Mclqr{Dx?2ql?C`n(6EbEL&K zq+>H!yK3mMefNn)XBP?wF|GiKD$s~_F^rmMqJRC}e}HD(Qu|Ax=STz^3=E2E^v4|M zZtE+$blovq9$l2C7yBF4^b@NMS8g&CW@pdR$f^ho8)8Ul;!HrMqN=Wa_N-BwaGI!% zan6Xq+Am3LLEcTq56`2$lk*|CpOdj}_T091a_%%V+)}wn`qsBSr~4+p-EFR8*U=5m zwf)WSuem;bI5~{=j*o{_ki@O3&rEB_$Ggt82|D=m9Pm{s{$LbNaBnJ$n|U*%)E+&e zHr!Wqm)OkUnR+%94Rn)oC()Zto+!ulgu*_5nsQB05*iFDVD_W*IVhItdb&w7&XTOw zaemtiR91knL+)Qca3T^dC8|Ua20sQ1bilp(#VMo&v(Gv(ZGce+=7?7`z~h*Hv63=e zE2FVm84%OPkO}}nfo$Z#n@;+l)Ms9lPQO?C3hPT7!$9iSGE*QD8jyAZNb_62 z#oa*{n`$*{$Nj+1K(OaQGZl>41DKPUG7EtTr1H6YeMrMifj5}UHfUQCJS!}MLe$J| zMJxy)L#57mti!n)TWq)}TaO?|NTG3A5LG6FP?j^iy9aFy>)K7^s^kU zvXrv@Zi*4fZ#nzZup?IKhOM5`21UA3E?6wStdmkJFs)+y;zDwGKT0*FoSSoX@WARl z0(LQEpjpOLJfewfCGIfnaM^IB$#4DHkNo@=<#|MsOE|n+Q9AuHS{4(jGdw0rrqLie z*Jb#$1JtUgh&MdhIrY^9W!gLe7RhoUhOCl(f$uaWrM|_#L#1r9WC#r?@2vibTHrq& zv?LE&(gyG|Jt;VE(j5OA4;tq9EC02T>G`lt*ll`W+}rF1O+ICkJ!ErCO}DhgOkoc3 zDFFN5O#yQ6C)(`8ik;Y6htY(-!7rMY@vGM7tVVgAV3-y#q5wDPH5mch_~PDn@rR!b zW4gZBW~z32*V=-8wS7JE40c6ATy{Foj%|eYeTKR*8jQ-4A@!ACe5@;an}CcdqVa1u zfGmnv>{y?C`#ieXKrZrv;(}IrD__KG%oyX>j_B$NK;tZ=9*lSa8L}2y*TprCjGFN1 zD;k&B+bsMLs8Tn%+8>M(*-f#n^UEaAz0GmQz{!>_4UZ@`#~Knr)d?^kutlLdfj22G zY&lT4Iz|d#=)+E1!kYC$bwa%g(u1qCimuXmp;l);FTr}QQ}uS`?o@0WJI{wVdiUZF zF#cPZ=$j;s-U2&&^ak*KX3o>^fKanz;5cL~It`BAY2X749#-Bhl(&x52@4TOSct%C zs=P-e;l6vI>mcZ;GSr-YdAnO2w;OTC*d^{53*ruj6^3JmT*uG|GdJXQ+KMfN=&xhT zxMV>Nd&bu;w~7$sK_(QKVyuF!&}p3UcWka!o0TOC1pO6?wc+NDSM5~i@GM;8U>Ksh zYa9kx8`lY5HQnC*lSHPVo|-LQWGrt(${~EP2E(Bz6ZZO=y1#BLbe$-7LK(Xiuxf%o z%jhAqhSF@hDNX%-1b~+VC_tnO?T+4vT?X~jLP5;!$s!p+vvtv}N=M5E?8LJ;295&R zA$iEeY2;6bE(qRvJ{rNr9`kV%-);{q_A_up;jpd@)c=7dfKzj<4vfn>D4_7_`3w5C zM>&D=ArAMWW8QJnnQ?`E(# z5eb8-k+2BX&k4Qi1i&tnq{f{s&5JO0$%cUf%P9H9CcTDabWL2M2w^n{ zR4>5P3-@~CKy1y#(8v4!p`vk!gVBJ?@c;t|m>Gc!)Ijzuv4oQRPtWzY1;Dpm>m~FI z)IN|?tYcuv_v%g6xDmkYmhr6CQVyCfwiad8sA>rBfes7MZa(emADQotA>0JGG%B2j z#!bW6C^d+7$RB&q3%96Tibv>DJPHYFo=1g8$k#un`td7Et;vf>*kR}KwP1g*^C}GBrv-b zln=&4Sw0L&Z-uBk@yJ7lbbaguXf_P<;%h-)CATq$fe~A)f!>zsdi-M+FaL>p=sz6@ zVzgK-Y;`I=0--v!y8iHk_e>9``JEHV<^%q&BmAved!|vewmR1ZSbN!_UBg>auOP4- zoJ?N`YW@`jnoCaFf$S#tPakOQ)InAF*=uc@5F^&DA-t}{y9RC4!~{Mo0dOj%s|5f& z+7nb}!|j-9hDyiC9afD94m~ogbW9uL-RZZZ7o#t~eldV-8Ad~0^pBI9(dS+mGo!xu zYi2tM{ahq;3xS0|pir+}o{imOC_rV@Nwv4sz$h8Ujd;BdD0XWe))1R&b7GPo9r{WqQogqRKY^cChUZ+}MPZ-6!HjT&{IyeQ>v!@Jh^Jm7he8=Wnblxl z4Tb^nW_=O`=Gl{sW@Eud>Un-~ul>i#mxOgW2~<`&bhg17fhT1=wS)y)LOC$o3)GKz zvRFW6SZ!bp;HOUuwacJTu>q|9}iJaI&5H4oLFxc(Lv`%-GsY%sDUeibDoj<9aaQ;^H=%mE_k9FMye*L^q!6C)0#wkyXR+xFl&wa}0 za+AwV8xKYXYuDYCr~&lA=m4kt^1R8NG=xxo@dr*ytX zV-)q5sMDkA$F4Q?g1>*5nI_sk;nu(#f_?_1eLUK}Z-E8&bM-nBAdT);_p2WLoN8W3 z!5u6KjBo#hzn5jE23;RyPyd3HV|=5nxeR& z-(*1W^jy!}JYQ}ASx%x89aS zpY?5_RjY!p-{ZU_+}A#jj;sahXV~4t-QPlge3@7|EBoY|dRuDYWGOg=kaPuOYl%YO zU3;i{{iU{2(#Dut-K4O>rMtUES+i~e)fQDC+2TD*nL5Z>1Nmm|Y-_6!#4=XrrgRmZ zs0}Eq^D1&&Yt*k9T5j^W+AHd1)h&)gAW6RHdv|+|G4m{d@F%>b=E zedFwCZnV5*C(9Ce9iumd;5a_!=V1pN;qfmmZZ*4<2L8IQq<`V1AUn4J?X*rcj*l_MB5qt>qGSwL$b&Q|M;J>w|G{<<_C*K=RcejYv0c9 z{u6|)aQxgD0u9q{hGH!+77 z%@R@*XjPfAJ=g$i+I?y3WgFEO>hXF1+lt7z9L}i1MgDDJvQZ~ zP_;DjzVuu`LamPYHx|#LoIAj;EJIB82A|m=yHlQE-bEq9pilnYzM0TgOa(+M%Q(8q zV1-n(Won{1IwoXup0KAk0IA`hwE+4+%R#M^+*96j@ugP@M9i{uv50{iVXl0_q9|d$ zo4REFvByWYkngB~rnPEV&IDXQJ@s(-50-$X=TB-v*mng$F`}Z@2K;v{M7wX&*;Rro z^h;Mq-U~X=@AR|7Qk({f(kY9w;{~Vi#xyP(>gp&_uPx(m+Q+e1bh|oJ_4Z;RguVis zy(u*8So0IBXPayKTUL+JqrOhxsP}#uzl|AHy4XMs`7&1XhpV4n&09l0sk)RsYDlgb zN@ry=m6gSnX-4urdM%=iY5x|@&pVoQOg^vpltp;+xje~dB|Sr0$DUM*izm=O<@~m; zgYp6^y=wZZOtRZe&JQQiqv()i(EhK^JVme+%Qfo)T!Sq0^bQecAzIhm1Qx9>oCc$4 z7tVlD$c<|jpHtjP)SkmvUnk$G8{@VH^g?NTG^ZSc*9ne6yv8_3YA2`OZLn3=A*mGq?Vu#A9OPy&*)X9E{y%>3OJVx|CDHr88>zoj${3*VmkU)e zllx@obfw;VxT_Yi*SJJO%_Tgeoxp$g^kZKf;s=BKaQT~`Tam{; zVX^1Qw8WU~!RbCCumQpX{|T6SK>S<+ePBF;7f{34 zA!svy(5I-w_|pNf*}_bLDaUY$-vpkL3OP8x7OM1s&)SMS>?rm-GM>JSHC+mUi?UDI z2mTy1MEm7wWp&1dPFTW-Epb-}lyFl*)!nx#ki#akglM-0RRy13)Fl)JUc{FPgf0i! z6h3{C<_XkhnABFQl9?!1=%rj{?mD1(hUD9je-2Ya$h$^~`Q;B`rm=fTiC=z+aRzEfkbVW<0XTBaWZ6+7^f;d8wYN z3D7iD?>D5}ML%oug1b9B^~`4a#?qF1V4E9ZgRD2 z1eukTWsxb%az-zK{#oFmY=6<&^q!gFSy?SQUhOwgtoqN=wgnKfj>7NQlc!G!&MIs$ zJh!w=UZeK#;>nX}@6}WFr;eFNUwrWeIvaO?<%85&Fb{B7nZ=h(72H;3v9*i7Wfxr* ziJPR<;az7x5skeHC_@alfOiQ|_lq;t#i{salUQX6< z2QrUZajn}pzWcA-I{B}KmYf02&<*KWrI7~!q>YW<&{0NrOz0RAhp7i%c-xIUHp}Wy zIl2f@^3!)Mskg!Rozx4r3(f|s>uGh`>R_<+-sgJtWd>psBH4Cz)XR`o zA{H^I%NdH6C%1x4j`%#)@%=W@Or>6hsE6wIfLaEm+6s*c=^_ic-%gI9aK-GBD`q-Z_5^)-#nuTm8;P$Cd$3t3Pt|P1FLLBv6v41r}FV#d=wQ5TQeTAT)Yxk*{k4 zo42^r*5wqUAW)Q)BjTAX%A&3dq&B-oGx+Ww`A7l`zf%8oRHQK~Bm;6@{jHP5)l2lb z??s7sokv2J7`rnf@vX^77&rUeTN!m~$&-GQ}+} z)R6uT4!ljdt+Bg5OQ(@o$y_B>`jahkBi$yu@$Z;*GH(OC?)!@ML<9&`f z*Cs}uH3paVrU7sucti6-_@<-FcoBpB?gLQ)$^)6$WZpesLlvV7uOu7!o`b#upkL)R zJ#44>ie3RyD0Fh62&y;4dI=FC>PSEI(S#zI|0OP3kHNkRN!k(wZ18RzjnCB|lW~`1 zXh3#z8~&!MMdfA7*5gD0A+(rWCs2DZXDn^W>fvtB^u*`!+6`Y)RYN0Oi9a-!4ho>a zs#4PyXFrMtxjJKFdnyjpe?)f31TFG{8sgeC%vDJ()UYCr{tj;xjFL(%d6r+(@}FBm zwhihSWw(m}r;T6+LY=K5KOR@)xu!!t)dBqEyOb3MpF~pvBU_qB@T1dmWg@`vTYOX8 z-hZT*JmkU$w~&K^qdhO6hWt+&N>?@i>LNO(o}#$`qA!xB(}3CFcQFPFV3F>3Cwd{h zquO2r0dch6ynU;l=CBXtwSa>#0#N9dUkdWaq@FZV+MA6DijF&j8biO*9@Sh%i*y&Lv=JC+lGSL zvS;TLCOsJqqEtTJC{G|%3B1!>k4KMAa}BBc2IN_*D3^%?T_@cnM6mwF=pP!##|Fp| z``O00=a3Znqv%CdBmsKvQ&+FqkJ0ubS5S=$_CfrMD_H3$M;2ulNJZ_X76ZXyonEif zr^>r2R?4G^zED3@+ra`|8`v&H5E6r#Rx;BiS}KJIh1Jc%AprcrUKS{lbKDnln2;Y~ z6dAA@Z5Y7PUBw`2HE&-W`iGpv6w+4|=YqWSt*?Pqlxi{RU+hhW%~-=CE2c2#keN~a zJS~(}9eoA36(jDg6B?!+H`CoFR+y-x)l-Y+n5a; zCR15`wMS@EdZ81^^O6$GrcNBP^rWs)D0m%JS1EY6@pi|n6MKODn7AC&Z=14x2t_5} zi%HiqE#V5-r(+CbK$-gLhRQ57Oc8&<&U}_!Q-5UjR<*NeDYsx!T%7vhNJl&^t})RZ zWe}U`NBe0zT)`5=&|F8C`bY29X$65JbwR$Umj;xM|1uG4^|a_$yt(sM1yj|p4^uG) zUIvDnDz!;11?Rr5GP7^tT0QZEfZ50<0AX{8&BC^?E^H?W!q&~t9R1@|3*9KQQSLnq zwUfVV%l}DPn*rkDk0&6AbqZmib3XVd=VylzP-Cf)rx3$vm0~Lz*g&TnL@M= zUsepG!Hf4hA2o1mTWE;8q!J_)twA;{UQPjx>u#{KuDu;&7O?4jbE`r7>z&AMFYAOFd-hgUU;nnr1P;bsSP$3J?O` zM2E+tgTsLXlz|p>!M_gK;m?NeCePH35&H7M4jQ;#^m`}T5pz5iUH#B&3+M{OZ7x9f z4&=YH6t+ZX`BFX}c6+1G(23)Eqh5d*^lVle&0l_vzx%nxI#DO>-)hFsr9Yfrgk`h?#g#MoN^L9+M;cA-m1go-N^2k zoHn)?-=6l1E=t?iJ)dETq z^lgF50%#`u$XtFO2veXRw&69$y0q)v$SPjDjZ|Kvw=FKpY0(Eo^=i|FNxcFx25L>N zWP2M7m2yY&qbTnLMET?1Jo>YSK(=d18=a3^KD&>82%_xrM?HzCU)Rk5X_&&KN^bs zojUoChH|4hi8DvzxtGys?SBy^uJ z#gQhW^W;NqmzWY}8u+wYrB#L73QIFMw0#zx_PP9^L%r1?5_o2|-N0l#_NEk0<_&2q zt1oePKnFuzF$_gO}-Ljm;g8N9X4~8@l^PKMqNJxatp9Ajhx;8(9ppGtQ>|lgV)}q!3$;nc(MoL>ut96s%xhmI#FXJR zes11an||QWgF*XLKOH&bi*>^Td?l6bt>|;C*Q%os?Ma% z3Zr`e(*s|2&BU6e{u&YTx&v2-Ml|SDvv;)Yb#XyJ!w~h{x3tAt>OETHwptb1Z;Hr~ zWpC6)?<~!ZM3z=S7lEn}MKkifjhc_O<_|Qt-ZflLNB;M8z>a!-lWjETrw*;bKb)bv zBX?T*kfXl);^Tfb5O7uuX8{o0{qiKlK>TX z*lK1^aM%$LJP=k$?pIi0fegK;>b+N2{Jxl~Fq>$5O~!WTyk~`mo2TAhpb=mrbac#~ zX&E#1KM}+@iFE$({FL%QhpnU-Hi_!fV+`t_cmaL1JFt=HCpM&iCg?2!YBJU@ebuD5 z2nIyjDK4Hi^GYJu;Q$?}gCMB|XFJ$&!K6nguSJXJ#qD^BoQqHr2g&A%53G?sGK)U; zs3$toJv~Nbs3=~#G!!vHAgRL87TxjVP!syig?g#L@`aLwe>D(U$a_9TS(g~f5lS_x zqLeAatq;^s5B?Onc!NB1MRPC#0&O=b=)tA{q!>X~@a%~Gb2bRZExmOWnuc8#(${X@ zPHSb=ZR{pG0|?8F=z_X?Gs>w5`IXivD{lzKKV2UlO*G)hO%96l9R;yGu!Ky9dZi5P zig>zI6JWWUXx<&<&>6!=W{)`?*ANB2`v=fSKmvbDyE0F*2GCmV^2Ms43U9#6r^+j+ zq?jN8fI-4)#P^I!RtBsRO|YzDO-nYr^%#JR_tm9;wKq?g9`Cb6&3rx-vZRFI5Bg^W z?6>2uY#|%ow;$WasA4oi{H7}kJ01^)KZ2bcZXZ@Sv$u$RY_43MDKXBcJpb$m- z@Gmy8no?U$M2pXGPRbG5DYks8JlO77uX(eln>4HaS_d;5M80h(#KglT&1Vw>pZ}<} zvIoS4IFO6Ys<$jFs&+`p-sF68h}AxjTk0FZ!nMRd%8Y}|DntuX zq~vgMc3K)mK!+@N8ncg3p_AOSHl?;VS`Y=$4^a07;1qMfg|oWvmwdt9Tw~ z11wj-hbZ80Vi3&;8NB|D1>B}edPuC!`&>s*f)^`@QVvV5@edNZYIr4R1^?>b!tt;E zEu8%7-@@sy{wfgfouly}c#=rWvF!|NLg@a%HTliH!oxuqCzP4v>sLB#D=FDL) z?>2YoVp?VDI~2UHwNNJ2eB$=NArtxVoB76ws$3kw(}+muL#CI=&^1$DGep1geY`lTS}GO|055697Z#Vt+KMU+5r-)C}+ zDM)NeIX+Q8{1kp@S-!2q4GiGXB~iv}BR`pKZS&&Or?NR5Hl*;%Cbgv>h5%b%P5fp0 zozN4y0tm(I>ef^d*o@zgk;tb}E9X&o2AANbx{Rt#9?dby5UsG(VF zzKQarzA4HpORZuk(yk>6DXG@^roTF^S7H}RAW{JiYtrVrda0#qkmEsJ;V7@rksrC5 zk28=)I@0TNwp0!R)HXA&3!}kW%S3}@8R=x7zm37s#olWxeu<-p$JVyzm}R{O-Xex~>3oh3cZ#)*=H-L!)5+0oO@K@j2*%6g1%;tx3Ik?j-^t5hniMyf>ahrV?Lj(Y z^z!BC*)yWt)~rTST4@q7*?crPH^S8k(^(mDV2|D^Fa#KCYziFV?(DrV$yA*%Jz=#h z${O!|!{z601d#$wBMKyToIZE|+NDvhAmn2bLdjSqGVh!-GjLTU%1#pp@sqcztnN$BGyo&8;dEc|2Z%djcvxlfjfwV~VNDqnkw2Mr67n~kd5)wIa8D!KS z2lBT`s2%#IZ#!OUTP!}hevfrL;2!sRjAS!XKf~@G?*96NUm0+h=QDJ{mpWaX?I10O zXy%s>&3dml`YQ{u>Tu0^Qk+kYHOKi0<`nOK-Jynf7DRQ~DjQ+)1^8dId=~Mdj`Ovk*UD)>4lozJYGW;GqbBLruzGHTPcHpRL)cv_fwkzoHK|Hmz4K;p(BTjB z7{5KiyEav~R$34a&S6=kb6d{ah2$X8m}17OZYjGXkTX6+ke3!x^Xe@yuGOP*Jw(IM zcJP^lh>YbBnot+iHwp*trzQ6R1!`Iu0J`OB$TIKS&<^S~UClH&8}dGiHl26)?)o;3 zngUdZ(EF7p3qy>e1VtjWDhOIU44lIL;jd0egbc#X+3=$*e3h?vSb#z(%ZEkJAy5sH zFxF;b2~Vms+9M3tupdFFvZ^<M|MiX{J3c`24g}FPI{<5KA zq|Vu7zL{x1ze{6Q9AH6Vtz8t z$@{c8WqYyCl7Rj3NZDHew#*lJ$6)Tk^D!wg#`dbI(p=>Gyi5l_7ywG1;B%}p2#3bn zUANH54@@TmN0=LuHk%R`ud7Im3zzOd8TK>wGL=1kS-bDhJjG~`HJri8Y;dmx~-UCZL0z+T$$3V@3 zzV1N%sjr)ypP%dN)N(5`u+Axm{7-e-CED*ocWMNij8-Yq1fQGimcTIElv{QtgzWEW z87^C9dNh04Q!tShh4P`NM(mm*;C`If7rWly;;Ebv2B<;qXh>D`+tkWu>iE+J%bQ5R~#fBM~QN$Mn@Tzoo&)01dx{EIvsh{Lhj7;^+`RIT063@XrJMg#OfW;p=Rs`lnnURnvgzAPs)|TRY=|8`wgH z!KY_41-<5Y{)>%T^y<6$R)OzDIz#DNrjhz0pF>pmHc+=ByHVaWCd3xHUhp%@;+e}m zx8p)rJMMk<#nX%JcX62jzgcnq*FEMwFN*A^O;qte9kl4`}}@q!;e zJUBQxko1@b2MRU=VUk7hVL!UmmJwhi+-rboT;f8f{Semj#qPMX%BsWE5r_Kz>^L zE>rGVSg~Du&C3jT2L;92{9xV#&Z)cU)6%3zyHWjdyo8H<2-v` z<2?JY<2-*~<2--Yak5!KKr&yNUSAD>h$E}a*>YDtJpSHyH5q@<+4nK<_aEov!;bUd zeU0D7w@WZWn4!X3Fx4#PDF5?RVN66ahBcXs}>Z3oqdZHhSmfE4|iwE6;T1aNB|kO%Vwb zTJV#yen7$7f%ZG01E8IG*d^28mMD8r5XiNTD8D*_AENh7|Mt3tPNhu6G4u;dhiH2K z7m9dNyv~xl6)Sa|xrqf?3jz{z>C8|bndCpX7OLA{S2H^=JT5)Nm72VTkN{+@QXOdH zCL4Yg!TVt!1&qBAq2ycp`S;Ws1koyG;7xx1y`gpU(3roqYnjGQtQ`o$;L;qDN==NM zjJV--Ji7vKOu0R}$r5rw;DV{P2@ovrHZL&OvyAgRY1bANJ?Ni8N+*$3|9Xl&IzSBY zBX_J?u*hPni=+@$o2kE;N*!P?h^Hy?FYFPl<*}Nt+obyW_uy83u7;~;Y@RMsM&gB9 z=C7&VANXex%K~H+s>{VKh|$9%+0u!;+RP1SNHCz{b+A$oMJ*A`5H#jRKmJ%SKx}c;=zf=2Q zxsHRYz_Ue#_rSYw^G+vn)h)>5hbMK|; zbBM~)=l)t&dnv$TV`-`0wU|?0%yx$!$4zSc;XiO&UB3_Bi%1S&(PxE>2WX_*QF)n@|ne6#yOxkp+!EyF^3rYSNy-+yf(x=I-WZ=jS`$XX6zCVVggMfe-1-KhzMr3=-^@eK&usW9LjmEl0@84`7FEx574B!c9J|bL&XIRKiR-;z? zUZngYHOu>}kO~$(=qjg#`hQgv|&jTXp;EcG)Mzlhx z8>R-m)QMHt6Yv`IDY%ykxpj!bnmaytaG>^_1JUXMoiOm%($Cb5AqYdzz!*xn(zge1 z@Ku1mJ<6)^xVKh2*1-<1& zpPN#c#+WdtC|2L`={QmU4Kn(j3Vq4ruQjB&mZJ$Z;*tqe3{lgPuJIL)mR6{uJwXf> z-qAJ#wWAe)Zlm#o{b+jyA+HTOz0gvx8Qw2djzw4SWEj)Q_{WMapf2>CCbj+n9+d6+ zvZZZWgAl!|exPW?kvEOtV9%D;eYI;N26ZLiXR{0<9%EbFqivW$!Papm5=C!<>5{ej zV2trt4(@e3cmLSOO-6ul`a@nY76IwJoZ9tqYLb0G1S2tr5zRV&KxK50$u@+`AqWJy zHXaB<20$!8h(c9BgN^jqTA{=AxW5k+xi}Qa@)6k407cbc7@D~)E}2PP$H_PyrVk0! zSTO@D#|vC3hp52PYV|nOY~Gf3)&=p#TP- zXr31FcIHK+?8*!~t7HF@QiM4VZgS?F%|?NSEh9I(hzP2V)$Ag&-B|emP(`@fuI4MX z*~DrsSgn-ZdDU1wD0{2ylb~jXmxU41!~|u1emGr64*|WC-=M|V`z7E#dk)ADNWbxa zDYA$KQtBrP=un?m?JcKGx;lo zb3@9t-m(`^usvU|;|x|i1Si7#xBypF*~E#6W>A$YRN*`_CC)X{w(VWIMuon%%V7Kg z-2Js5xT*~y{5wSEFqI(Ee;1SVJN1pxF-JM7#bIaQr;Qy5)F_Kc6MPl6AWtB=0zfRy2#>GxR$G?C}OJ%!@b-OEsE;Pxr(k<5dP;>e-#P9AZ9%I=lW!fKsE+NOtFA`{!ZB9 zW$Ws2j~;9~>v0W!T|cYp{Z!qqRjC1<2|Tg8bDEsFmAqed;6U$CT|V01BgTTWW(14b znj{~BMewPOeWMAl_V{TNt2lM*(A{*PHUMW&`8umvc1!2P5&xTQyWVs@Ee#u%{>i_O8kBq^DBaz6-5!_e_tE1r1>Xi5 zSM%xzIIn==w$Vai8r;y%*<5k+9+vwWw$@_Rz}uqi8*8_NFhFm|=v24;@^fi{Td0WM z=AZjE^VMqm6GY+O|D!~ZP2Upl1y9l z+ccYnwdlB3twPdiuoXsOY=?Fd>ZF{Se8`;B+8~`D8Zwi|aBx*^`LKi2^% zRl*Rj0}N7!`euyfT1jba45GVUhx|a<_Z`V%K#F6pO}DhLtk;1cdzb;JstOf+kw#;x ztB=(Zng5?Z4pBAfbsrg)Ao!BM*z-i0Hykonfd`ZYqFK#8Frp^q!`wxUq+v*KY2p^64%OaQG}L#Jtxmp zYlpTqp0#nokT7%?J?nDj0ff~!6>UnHG_amaZUvFMn2!4Xe zCYpaZt}36?R&!SMKBf6G>=`y&{Rw=E`2WVi-~9);aZC#Oay2H+uM6;i@+E1A>oKBCSzGF3b`>cG_vc0vGn42sh4$|_%P zHx0h>jp`O$;p%(7LU5Y{5v@GbnIaljkPU}In8MhqL! zz5|!NtYRAa=X(HO!~TMJe@C!IZ5)?CX}y}|YN~*y$%+>9yDxC!hHRI(-Ewh)SQY%O z*d+qUfcMxbU}3G_^LHp*3pdbd?WL8c?&i8L!NJCP4Qp=Rth)V}KAFKi_gmYA-ddH# zyK1Br3>U-wJD3pzdpT^UyDq4vkHx)wR-9IhN~BZ#osi?MM65X?HM9n_+buFXKhrYke28EYZTl1yJZ7cp3T9 z{v|_|m&E}jo<5+uzRt62A1D$K(>1Qy_FmpKLW3OMRXyw-{j{mFDdhN@pu z0r(254AKAW@qit)P&=mHrePG=h(_>%)Ag2~(acuq$?zDR^D}dfAD;1mzn?vpD%5Y) zHHSyh1ZH`3(fVvdkJFAb&dA(q94HJ2*K0o86p;E;p-A9H>Tf5WJ#>SA<0G}@P1Ns< z4beZ0=>D{3_N@9^5YV!;z%ar+K_UE;0fidE*OmIhN*R=koWcPOn&;i!UnjH*dN@;} z4$W8d!qms{5n)StkA_W@fCySFqDG|EqZ{*#Emr#)?;AeBDV$M_n=)CK6vw-UBH(N$ zwxEr{P2ExgHcLr@7=LmYBrP{7bttOemiZJcvnjn))g$S&ta|bzLEJ^oZbZy*$6;W$o=tC!Jcq)J#^u9{++%cKkCE&##OUGF!3X8+942$DlIQ3%YB%IXtE_{vq_{4^;&UeiK$ohD=I7mxr3iA7io@~5Ft}zWY1hyxZ)S<%CEOppX5qwtKlGeUXfne(6 zy*c@sDjI^k0Gzq7b^ml)C9sCDnlPD!@8m)$@>j2)_bl0e3kT{v&n_L{vv8nZetsT3 z7UUdFdBmFdF91KCbU5`_DgG2K(SB5-42<06;3o%psKc8#d3dxI1EbM{ERbcC*=S!3 zK|YPuadtKa6aVb6=Zo8fm{>MNewEZjVJqxJbx1X8ME3?S#=JYjT#BD5IPtiV>Foh< z!6jyB>Wq8lKgWX9PjT(cHR^p&eWdX3Eq*%chiWQt8PC;t!Qe8XCyaL7{T+0y2)VM# z1K6}c_{J&w67X+#D{B||VcJG(R@kM)?W;=vA3*kgc;-I_Vr==vd`8gY>Bx+jAri;++R*F(t z2tzFtvXEcoT8J%MNBE?j$aPg@rXj_)&+$M@kKKv-SUjmLERfsV z)oVL7bdUs^@%_H?h1;w!A}`g74j=X;o?bC?{0w)81Ta0VB+sa^H&1FwovZo+HGF74 zS(1g-!xAPKiBI^b=EmQuXnhz8&qY4HN^V6}d9a%qR3ksZyH?w1Zw~(i^@kMxmEFKU zpC@X9yfM@IE!4u3na*pX0dCQ;$~P-Hr8V z7?h?3?O)B^9&V~VKxBAc#LKcFa*W5ZHLa*!Y!*JU7k}(36#6qHi9XuXnpAsS4xx=- z6tY=U$VUw^d50>IrS056&>vUmziAu>DH5+rq+z{KvooE?p~P*NBLX{9oAkc=|B==C z{^GfY(F@m2gdO36Azr}&NRKYzpZM6NH470;2z#TfRFBn1X>sGQW;*O5x9kae0c{)9 z`tr*!o@wyq8@1J})FgTA^iNW$6hn?}`>1UDVVh^&!p97YuMsS)qj@W9H4IIQwc>?c z+q8Oyrp;O*!>(-_^Y0aD7=kOyvWEBwKIL(L8d5V1%!Ek-gyvXo$M(cSd}9U_2{1@F z$;OhK$T^(Rdr_BPBf$fAgEPW3^-xR`{&Dc@A6ZhS1E6GvZ$_O8+@AwtVuT=SVpdA27DFB;ftAlZ{07(uxf5o`nc)zL~>jX{`ET1!30<;kYZ7qC?@#n5ho3 zmv4o9B!RDQ_03>^3P)Svf3}T#BvZKD%RZ4nMdZ|oW-SSOB{vI{2 zlQPPZ&D(|~PueU1_^0m{%wQfOBbM$v$W`Kv2wShmZ_y6qoGizN4-XeTJG7|pzjOb^ zczxEsns9d?@Il=D`I<7VY4QP!v^vBmqrQP2zX#oBjaWy>QLaiIdOVsBqF$Lx9C@ic z7`1Y3n0hX_<~tBqpb`jECWNFB@5@m_plWXk=oG;dNMt{JSs%pnm_3o}?|_Lt>nUOD z^WXuP-=D1%;F}_x&^)sKKn1XGaqA{1mM%Rh7i9QkqOH+*xKP`ZWjs|4pIe zFJbBzb7lTWPl(VrbQJ6zBW<@vafH zN-0`v#U$B@mzgtbgLc*9c%|OIlnH*WH$&oC!CJIgVxv?jM)jaWs7%l#=c`1?O=%v3qbhJRx-w|Ix+kH6+F-S<+c5dbmlGFjYC^7GJxfC|u2a z_n&{=Y^U$dGvL>#?`gR%MP58Ci&zBfxE7x zY}czXFzU`Qj@ZTI5H>L099S+?OKml#KDk@mnP+vS>RY0+!;{JySxKvzxEc~25a>!u zTV#@0))cdb3SO=oXONS83Hkk;@qr&~rTa#ggl0&Z5ye&NP zsh)c}L+`zI?<*B~+)@S{aH+B}3+LF$5GbJbn3h-uj{(1zx@R9?fh}DlRahTVl}epC zShpJhb*m%}r$)R-;L(`rt>SHNG56+anCHZEtd@`4`})m2UR{A;Gz=|Em+SOx9QDgg zc`wQUB}vJ@fcwukE4aPcqiEkNm`0Ve%5GHTH`-`nir;t>15J__JxwP1Yb^cl_=X;y~ZrM%CiZV{Axb#I4yYF{)#EOE&0DgcR}NTC-mgW!;6cD7>g6n z3Fv**Tc8H{_MYG_Vs=$-1m+=~j~X49V&)+KShWih0Dq_z)|5YQrS&)#G-F1fm+EiL zPd&vU6CA);72;NYIsDdN4-fW-#F6!nyr0-U{ zTEisP0D;2zRD)sm$FGSZG3rD~epsC6C$MGgnMx;{HaP3k2`{YT}p%s7vQ zpeO$TnjNyzuycXod6t!G-7Bw@8&ngdtxN1f6Rc16+J=zX*XQ6hbSv_Wa76>XKn*4B z$!6hTM+1R+2t(T4Plz;)!A2Xat;~M$I4F%SU7_q}&BG9cDfqUr+n~IYK4hB*gD#X{ zl$`|9p&Ye>)mI~S)f~$*=U$x~=>fBUiAo$OS((F*v;_rttwa;(n1sXw`;xdfL-tjD zEVN@exkJ2XuYw0wYqQ(=bp(N-%Z_MIG-4cPq16ci-9LC6H{j{r{SlGo06S3Ra=6yg zgPC>T2A|=)BGC;r$Dp|@IT3g1%DmkU@owiK=3UJOA5uuR0WOMiod86kXFb4AAx(!4 zov_(a+XtBv@Pn}~D$P4_VT9c@b!lWg)HWa05@S)@Jw}xqd%|07Jp_nZfu1FkVhi#? zXdI6iwXD9f>oh@KhdxRts7E%aZWG_U;?wpVEDK*!Pv4Vijm5v-#kJIw+;vD+kO~FG zVTgIX)O-QYn<~s3>!_Ij+prRAb6zg$&cY9!zkDu(GrF2@xAH@Cla@V^I1eji;eLBQ zWw_TGGbp+?&e7Qe(0M#M6QtcEB<-#%5W(|wp%*f2*Nw*|;O=sJ0Hw^Aw^1Qxc?`m8 zbElF_a(KfoKmb>|@tQ&7HGC?WJ=E?l-Q4II0r%6^51p$EdyDicX}KxlQP(f8V`p@Y z*BfF@CPc5!-O1k^%5~DCCXYK^t%&i#K{R;W>pg+9d>D<#fZIDXZyKdo$9SUUgGQe* zu!Z;=@X{Zm9NkMi<3c#9jw9!==lzwBg1W-tk{MUTBwRBS zP!)b1D&}dF)b(CMldx{P=u9K<-I4fhy}5v3@N3z~AOFocQoxOxzl$VmN2@vdzg?Ao zYpdS!wGPrqi;+fzUto&0xkHMipyT4jKGY|T^!n-(I}nvdway3o09CQs*S|0xM{`>9 zJ^X-5d3V?u@I8T@+yK9i9ejcAqX$hzi!$KKFT=A|4({U<bXS%)1b5f zrvzWad&LhWUyaFYIwA|V@#-o`N=P!@EK)3Ae-{cf>S9J&7eQChmlun6gV|0?kl91>tw^|Tahb^lVq9C0_L7--e4a?HKMH5g-g#+KY;WqsayOQhiUikk4a66qZlY zLCUuERzhXwjjr-*{A>TDh0~~nnKvi75fRR34DGBJ>$KBsT{Jts2 zuMMzRZ^aU8aOhCumRfhkYgWVz-3lJ$8aErHFr9hyK&HCijM)5wQv+LXX|t|Q))W2F zGy%-J_Q}8&Jg1>|&PT*@YHz~~hQ{VmM`@UHpiy%OYEFo~)fE1Qp3&W-stfU=&V7ix zR0@Q>h*y$bz-hGB(vDbLwb90|_y{lR{DZEe54Z`==$%GC!03$=AV@CyWb z$XNd`I$HkztO^KwnELD9lP3{KdO&X1mfqaG`Qbf5>`?zP+&``Wcy{O2o*Ud+Q(D)E z8XdN56bl;{R2DSRSI5K~u;;}Jcg^Sqq zdA8H0@$t!&kK1vCJR&6N>k#R*ZX?v^-fMt*I4@ZWESW_7a#ca za0LGyozUN%M@sF!&rqoaG1e>49h}8>uxCf`-}n^%JDu6Tq{Hf!-tp zeuj{~ks^4be~f`|W|c3AL&G7FC@2Dkb8xE6&ys?9^bu9dUQF`>cduL}Wi!WwH2u5) zyt-BgV^$Ny>AUIyD>bq#6Y4jnJ@qsX&JLr+?W~B=@w)rlKjOgpgIO*Y!!L9=309(zrleXg5fI>OlyV+Q@iK2^T z7PblxZFXG3eYtS7hYiHu7bo{6vp@(FhHc2dqy8o7p*l3(Q9rJL@3Bo0?-&_a`R{*R zQ85&LEJr*{4baBL$^(+!5Fj6uQMO4n?BW=N;Gp3_psvNG6su>*k_E~k8Y}@1_fg=L z3Dj6vUPm=0`ByR34IT1moo4mQ@iL?A(+mo<*NV_@9#l`0FV8 zX*51Lu1#)rAhZ&Qz;DVl8+HY0zOO7^ zdr}DS3+@P6;=z4rEVXQacTXsZf%0rs)T(Arb|lrsf)i$^u8Of}-I_3~q!d*LKD>Cf zy^K*kSWV9Sa)Y9zG6a?op>??h&;&}iHxWK&IqWn;mVIaZa=fmM{do_wR#+T~qJ8Y9 zy03?-FMu!3%=^Wkg(8E$pkzsm0@D(b2BSbjrJx)HBim`N$jyC48)^Y)0dUf{IC(F( zNmjcGLgN%DF49@$TZ111{9t(hVv0KfzJL8g(>n&}uXbg1Y?+sJ)Q;s&#EwQMJT5CW zJ$juttTm&v;{)VqA0b_h!{FG=-q^%V_<@-lrAY%joL7QXBMCw@j(nq^p8fhqY9l@~ zx54}1z+3*@oRQ%as@yJbw7>q*Mzw4?8-!7%4jt@cx5lbE*cWEi-TzsE=T|1ERB@=R zc5jkQEz)0a=ju6pgJnyW5Jb{|d@qVWdXC;la>u)nq;~l7u-L=SB0HX(xg>^o4{;q4 z*9!=k%T79~>M%>a8L7Qd`uQF*6m+2&nBQi%u~k}y(Cli9yVPg!hexyl^BYDBt)Mjx zduOiM^GgRX*$BX~k6734wDzjc(}@l&cn3p(&xA9St&kapRf5a4WviFZ8Hi{2>p8cn_Jiw!(3lVtbhD%;JX(4hnon4)}Aa(?Q z4YZ6u&ppl)ZSZ<@(MC+j6v8&)Fv~dI#OmLB(c5@UT>N)WKdM9)YLOJxO|kd7KGN{| z$c9kNzIgN@q78yOx-HgFwApIiLkwt0&?m+bgtAIIx3f(ojPpsdxk+?gmw5>^94kEQ zcGoK{=LdN4nqTSzyXvj3xSB}6`nVOUYgtu*+@AAv_szJ!HcSy8KI_i&TZin_Uz#jE zr7!CkUj<*Qei+%6_2j|mEb5QOqX8iQM<=?GPnGp;u28>^NA)TG7J8@M^ZS)&^#ODI z@AIqLGv)bRMXLV?w)vsS?w5HYVb?%h{u54JbaVjJBl|&cb$j zNF51W(o6oj=E!8*WGOZ$$5J;TGi`=@GH5;4bw>4*@qQ3qrTXQM0BM24Bj z%LC=pjnOCR#8Cv0jtz~}$pU%3V`AyLTQ-9t0BN43Aogy^w& zTBaW7rW7!cmm!Dm=W1-*>D6uYMqkkG7&sZJV580xXm8LO>#yj=X=~m28UX9GlG09yu8KGJc!dQtPkPzgH*(?vw_AVrgBWXY^E4mPb`|z2&*L=yAyEDgRu3 z7y7lJO{rQI1>b(((4m7m_!(b=pUgV|t5y@L_9Ov9y^2?F(}(K6kVf+o!6nWZH%lB_ z?hW@*$P5 zh9j!RlekcSYyd<+?nJ!AD1uAQ%9+1rV?<5Uzxe}+?|;mQgX^R+O+zW@rpg7H)I@ab zXG1mHGV7)aX0u>ThvS>_Typ}ltPkL8)CWZZRvPkHqX^&`sCBXc!B(sWfZIx~5J0e% zM$xA(ZQT9Gm9h={>g^&|XcDbzv9VY8d_Ik5$?_J&hzg($TdmaI@DNZutE3WPmZcn( zYMVRQ7l9iT2pOOKdOO}99Vl;PpCSa&^mfYhpff3B;yXU1ZBluY z;o>@!LcR55S5`@csw-pWqT{A((LHm^Enb_jSg7xMNQw|`=vtW~tG9_8o5g0*(r_|zG|0HRsR;?Lsx;_2 z=DK3~z_RvRSjL%MP7zkkb5vj1G5da#ck1pk`A{8Vce8vu5#6l}0X{tLo1E^B_My`0 zOJ8Urt!^Zh#8{2;lOVK9-o*%#Q5(-BPOc;PCAp2tWm>HAYua^zDSED6;7S>K2Zi`86zD<#n>jpr{bM@l{MWGT-LW z?G{$x=v^A;?})Ga?!Wk`8~jk%!Yb{+DV{~jtk{;Nr6}JPmuyCBp%L8=agpldrnPAX<+tz@7sxtl zs4!MZg~id>cKkZ^d7TAa;Bh0?(oumh{;kc>K-sLuFNUUy_4lq8v04w43_|F7j$b9S z;&yxGmx^2nIHa%r!qqcKn6}ZyBth{>Oun0vb;=c>t-PXb`tgBe@=<_Gj?XO<&3uX0SJFlP91{OT4{iB*MQ1Id7c<@ z<#(^;x@-r`tdJ+)CsaU%~Oa#re(PeAP&jNo~842<5EN{5^LxZygb6+ zWV5oug5wtah#oIe47YrjLk)abV|9I1qFX=sLW00-6T?Js=_ z=w(7og-bt1LJd00yeN&uKvAiKwMbM9YbG{k=k>|aC+Mr~MPv0Bd0hH#l>sk{ZYz3t zIm`v(dNA~MY3-|Y^9Ohmc+t};(?_YMKIv$rQ|E>9>_xzz`W+joiBB5Y0|TUeeEtOH zW&RJtysU1gHvR6%Yk|)^hjhIu35RI}>qr7oTbe9DXrz61_^nh=P}0TL_fY%jXN@dB4mbUZpnUMyX>sJ~);5TxDqffoZKI|b}O zi8(kfh(%i$5@4v$7=wCtfIQqTgFf5uH0YCq<}n|<=a@%3jd|4VK^M(qKCBz_sN0yw zJB@kVY0NyXnqiM?=f**|F(2$S=7SG0=EI_H%!l2^e7Mt?4?B(du(;2FJ5J`Kod$gL z-jn(GJty+P8I1>N4b= zHo&uP8{p|#!;p*j8nN=)ci8>l>~0_5xPHV3@3mT}A&hn!@aVn2zH#wB(^w5*ywiZk zALP@k->VNhjrm}wF?ZYd4)*Uk=EH8!`EaK(AAY|!QO7YK?KI|YTi?;WzP{E0-~E&b za0vtwsBL8p;c`1&Fge%?(&rFIE4J|WaJ%m9`7!ruX-5T{C3<0cl`6?!P(9;dACdy6 z$3_O8qh&(hjG(um*0TUX311VwA!dmMn?X%uKX*Z4%U2uZaH>QvzlyIi)s{K}wSsxE zO5?rgn^)(7@Fn!p6vC9yC{3-SJHb#U1UKVioouQ>O)Ko~XwJ07IZgYYfkw<1Nl`S_ zjF**g8b`)m+EiOFWhxYORLzM$5{;xy1TAl)FY;`oUd_{N6-Qqu=}OJ=5J8SC1ZOf0 z%-?VnvsW7aoKgz(^v;K$**AAERQBEB(9W+i3CBp)2lU&It281tMC~2I$C8iT=T2WG zNIV3gih_X_Z4B)`kK0yiXJ9zeg;&`N0jS;BqgSOQh}L%^S>LrIL5lvFrVH0U?Lic8 zs_RE$hGn=M>6ri2w~L3}!S!`P@F2+b{&f?pySTP1zq`+a{+Z-Jzf9-bLYMQbEc3a~ z)EH(yKUTkt&Lk%2*t=8Mmqusq)1kXQyh#c3p~Xiy3@upX%)2vmf3f;pG#&gR-e%rA zJGx(!M|Dl!{ZAiv3gGGj<8GW^SOgoKzy&TxtW#546&$YKOIKdSHWtuQp$!(Zc#Mf| zwQaaUEMG@Q)kaHQAuNkV)rkh!Q3jeB?RRZwv|roMI@h^U+YbCB&%Xrtt(x7xbqn$b zP+Y&QK2`sdpIcJ+bFE8IeJ3Rc$E%s(tz((C*I1xHGHIzW z3Jx)bYyoVDDX3BiFA+%|4Ws3Bnr)#lA%{c{R@w&A%0_$kFLz^<==NFH)pW>$UtbEb zEc2?+Ph!CHIkSMqEN@twFf>1JPLy5~A`x%_%6Q;3G3B z*KFVsm}_OirhAz34jN(4!6HaZ6Fx}4y0DJ8Up|0Zd)T{afh;$4v&Mr%dsjmV(R8L& zK|X_^ZaVcRgwt`bpXH_Ueeh0{C-I$fey`P%q}#-itJPF}Xlh3GRHvrmcGFYy>)$3> zu||Dc^`O%45?TvAdZRWey=D|Nw_=Mc3@u-nl(|d_sIQymKpK5?d9_t{W2vCS$AK4a zTU@CfXVA3N5Rxy1@o_MIdI@jAjH0*kis;GCPWPj}I`zP$ z{TB(8)0#@g#chd?hJJ44n(9V51W99MEYO3VE?cySQ9T&S0df?mvy`xe?5Nf^=yEw} zulP_LnTvpQ&u7rE0Sy@MjhrDa2sO{n3Sdj5YvkN9yB^G7m>kt>V zy+=Azz1196x;4)Jjj?kpI0n2w4-}qT;VK7v3#JgY)y$>mFC^ZXU>)X zqZZUn94Sw9RsdaZv=_mzDexMrAE$9=42bG#f)xss_BVz|*I}2N+YHN^^vpz=QNzQO zi(xN;2@w2J{r`xPy8BD`dEml73JsGYRaFv}4%FJh>RfF=uM-T`#iXYU$fh>7-smum+nZn*ql{-xoC{Y0M*qWi~=laJu zHr*o*?(Tml5M~N5YPzA&&1zm4{dhhieM5raqwxswaBIJtlRZV@RdN&ELLuD785mClr5Mk7}!dEh_8Ld3x2e61@p{Nm`fm5Az*|LqGx0} z=+w@msQ1{4P&^q#$D;>_pY&>}#z{~El{D^tT3eWD9yZB1ZX5|mkKOg8Ct1i&>Pjvv z6WFC*qq4S61dFEp@^OV{gT{PUDs6NeH2OJmSa}A zTB*o#e^;7T63A#EQgoPE;XTz*uF?WUg_HsE)#wyn;A!=g*5Tg$Ij3au>keg-l>#~T zXI`{dIa-IGYaCy^XMN*~_pWVx@!oZf;hM%ifq-dPd%E#KOR3}E#qaql&2sb{L2I>N zD6;`q@hi2oP2w`OevLhGsSZP&E`=`yC|V&x`!!zq60U?wfiAA>g|M4@t6aJ0CBh!sM-iVH|cK z_RtAv^rVe7;yH@wzl-H)8OLk7_+hkBr(H!wI-3K3Ypl+M3XL+QVd(8z*{90?jBl$v zxqL+V$V)X$6z-Ujglj?TkD-cWy3>WS9@cBX_-ictc7-3f3~o8~fa16a0pe2v4Lnj| zQd9m<A3PS57tfxzhtCbVXpCFQ8)#-U9yD_7%&UcuGJ1x7{~lF)!W(mH z8%){RXoOU$XMx(CW|n$xX`OC1toV$`ndtuU4g2u~q7`nJK%Tn+}_R41CbAsZ=N8%pe8AfmD-milRK7 z2`yOY+oQ685|d-NQ}>_K+2@`!-(tKew>6pvVpZyQWnY;ht@>P2%}R?G=tmgr0IpV^ z(!E>0`(J)g)!8+1Fu2hy(Q6+2s&)y`kI&KFFtLi8WTGz_7#-JSnZlA+x8l(0J?$v% zt{(f!)(WD4EGIV9-ikGn@D6ITXZo;TX_T1zZsIAMiuE2u)gi)eKxqA`=1`&F#y~9m zngug0u`CnFUD9l+%XJ_tUZgfU>7cVzCo9}YB4jLE;%zGzGl@4_K{ZY7tJnPYqX0J0 z#E*OtvPFU!9FI6#4G%paf;KW<&@O<4Cfs8zp;`>L>)v2@9ygMYWBoXj*FKDL<+4&O zv(X0LAzc^B7vO8;{o)eKGG{s6=dFXwQ}*b<+ryl?-?|O0av}%Q>{x)WDF%UTk&XgO z&wfj9w=r-%7aPjn@y1h?535;}z#=}0l`n+s-_%aevelFrpCPBj?$S#PpryH)P?jc#?*czAQokdQMtw=2 zaX%H{69Tcwl2`s9J19xijr_RLU51I0gd%b2sI zfUo*+8T%BG(g8wja2mWN|K+I#Fuex63qB<6-@1Xz znok3p>tAkkLR5Rk+A+S&)P_>KD$r40-|Rg!N!CCA_`Uc`>Fx~U=*1V`4Lpi7xTJTv z>}hZrWovlBdUk<%M;#f?GUPz3e7JG8Uc}6&Qe=-=)rJTRCJ-ZlKL_LE z4NjMDUh(N=g^Ma*4db*>PeRWlpucJ*PPOcT$T)DF5NKtY=d)WnlLP(uK?~UlCNm{= zQn-rk52h`(@5E&*wa}qO0V?XTM#@YxctBI-Q%#u)B)<{x|2jTb5OSuyb2naB^^hU` zj0WmMiZ5+^J9eJHjjk6!lT;*NDHPWg`qiq)kBRI6qDKU57TZFNU3G@!6d4QHF_lx6 zPLoxcIJhZc9I&q;BG!gp79WDRWov*NvWpS|3{ZVgf&o3JOm>9UN-U*~s+uBsyr!lj zJh45T&*}eQ5dj~J0J&I5rwv;-=DX>&ebY0i)}R^8_#Fm)>MmX@E2#+JJVI(aWncp` zyC=2>5fe2@fL0-JBi_>HGymEhN5GcO&dz|Ubzg0jdsu{r{~C?hz1S8OZHFr?|I&F} zbAd8#~ zF{vrUTP=N`>WAQZR*6e_G?B4kE1WAwXcfS>dg?KBfu@s`n}%VSq#YVSt;p|!3xa$* zZrBudrBY){`LP>iIO##JH=5}XX0u3$Lm&lliBxF>A6gxMo7xmnnwNL=`f%$cF4Yc? zsilEY2$X$IqcToeXA{#oq6eEdrBFbt>=HCs5}hPP>BauC1`AR3 zLj5_(WS|4YWOPOK4T1S;GHx)VL~wn8@4zpWS~f(M>GBhDIjp8abyD!ltw%O!8m+s3 zk>JyisEgcyt=Nl_by|XJTHTJ|gu;Xzy?nK96dvYIjfy-$=tUU%^4dUwZo1X-pqwNw zA+->1ItR>R^^v6;5yRyhsB*z_;b=p%a7waMqlDT3H%QI3y4a__9QGnU{hJ4`9$25j zZkJxfn`fml1rE?CI-}0FWpte;H{^q+Sq33zH>Ho==yUcWsaL7buXA+uVZK()$v?t5 zSxy&u9*lt|v+b1OeJQbn;p!R`BYGN>fcRtOnJ05tPogi#Fge#{Jf=d#k(8`0wjlVL z4Y$h?*mSF(UzlPkI9_Xa$6u&hk5~D%GGJex8;1}uB{PRg*zX3mAhof^8cFR}2wD7@ z;o?70Mw|1n{t6=a>mSy3bz|wbZ0yyne-YEN?%8wQT0hF^qg0@ALY#<t5Rh*vYS-!$R1veGTDfVReC2?5(R}Rbeiz>r*rRH;+Y-o>Rlu%IO zUGHCMA@nl+Ix3Hj-+ol4tQsF}fRWz}qFvw!Z$GJJ$JNJ8gsQwbxv8I+V2Lb4t-+^3R(S&g!RrO25DYtC=vnTh04)SXE{h~-9?qpk z!F}H&aoFGu0k-Bo0FaONq4?pz+EyJ~n<&fO-~XthEB3-S?0{F>6KL99PwdsbwZs4* zCiJleZiSN+%c?DLI(={o1ggh|%~Z;PRqhu|Obqeg#JBg61ABFEDXr3@Hyr zvMEEA!nL2_UywmwG7kruYC09skm)cf5oIlGOV#~mQEKR3x)R(pM-Prq&!YZ#e2DUL z^v~rI2fVLt{}4}S7@TT)PWlC3=`f4EWjeOQ5bXsmV;mnoI8dMd{)4k)93=hQ4D#&Q z86zMj@!4UDnx9R;k%x+7Iy<`$|Th>Y1N15HZK*T)f`!T=Cs ze7N_~2krTIy@v9I32RQQ5`ulbQ2+b8co4_#ysDd4ci&d!Rf~YAQ!L76Ym`=f6()=M zA3KB@CaZq-E_GX3_{ltr1;;- zNlzoza_7-gIP4h^zG$-Es9mjxxyG9!-T~a^o=9vePYE(@h|NaZMm=fu14|FO!6p)9 zk(nu9V$`V!_yTuwLpJFz1HMxxtK%?<^in;zbMoa@Kta*Ow&K;gjmi!9)CWNIz%pPW zhPcYjs)U+HtDy*W==iMRLfmoOhrj!ApWSENXTS4tj}GoJ?$N>Tc-+P#F5Ubds_^F{7X|S3PM#-{RbL3eoP)7+2??}h@jlA z?376kXULpYfV-sI4RzI)Q>8qmdF8`so))>A#4KvGA-QwzQ(YL%dS7n9sUz+$UX%73 zweTiLDq&yKAUrVG5brfGcnoTBkDe7+7WCmqcD+rqO?X>j6sK0ELAWz=PCPd z9zJ)gRykcb;HJ|^7k9P+l=|!&u zD(P*O)U1A{z>wLSD^lmffXunA@;ercgYC6_>B?1y3NC?{I`{b|T|ImbYf!kbuUg1Q zlfal^`v9^yQv;-;K1T7VPun9`$u}gAWzNy8Sm}Hr@^XOFzS? z8z6>7x=H|X)C>bRQGHGjvN_l{{9G`SBEf>)*0Jz;orl2}h=IJ#IJ8 zJN#I+uj8f{jd!0V0i|p{QcrpuXwI&CFKKOax322E3nW8LozL%+qY0}FZt1pqxUOQ^ zAB`?hrYrr*t7*f2y2+`&?D0n%rQ>YxkC@kWeIYFZH$!F9RIVx6kLr}30<7I%%Rx4N7Y z!|4bBjBkfzm2edik`r_wC_5O5D$@N!Hd}UAz4bz&2sv`dIGNprBl(+rdbP;2Wu&fD z=OnA$q;K`J?m-=@Ey&U3s#V@MTeK?6TJcA0wnHgv4TCC1e@r-rL&)bDV1A;DJWH>JGzVFLdZv(-h4$lz9O?>SOE-(*0xs>t4 zc&TB)cdFJqKF4K_w)E6Y;+mAcepB*v+oV%>ZJ`$Mj`lpBIn6?I&DTlXEhIn4+N?Bz zDq#y5Oygz9i=ufGyDn%}ZV~9CjVy9)gzB}9p`DE2KNv_mJu@cEhs(uR>%z%1^jL^` zpJHrGSrB~hHs9`qzg}Y03;$^#mdt)xi`A$nK_V)%AKktE`2IC{uk#`Y&gHL_k)0#Q zSVL~05*@P?G!<1di^<>b8WVf**|{XpZx4wX?KlwxU6KSShn|M>ml zQ}i&ZQ7WF6W-zaxL~qn&EC5`UM32>A)f*p;k4#ByFl^<=s+`YUhN%oX3+rsrzWAdb z_#PUSq#`e{ty7h(aj?AAg^V>(M7l9NBxaWd!2X7VLO}*}hS|1enZ@_uW-r}Pt$zAW z#}UD3G=y1GnOAuHoh#_O8`{(9m!5`6>mNgRWH8bl$W1Vn7HXs=wbsJI@_Rp&tLf)r z`EsaqK4z8nULX2~(j@0-&SENv6yIwd-_!SF;z&s~{7W*XxUQW%I9{&y6bbK?HB zA^#3E*DESi&x^Kn0P?_Y(Ct{2xnEmU@rowND%orhuL6$==&X7>rwbZ`;}4=Qr5af! zckp#Q4Iwy0-T(9_J$SBZH1DlXASqPn*Fh16z$Tyn|%goF576KWUwJU+{_mOV?f$WQxUbrs`3+SNI98 zT80at;pzZ~mlX$$1)l&qaUw0g{|S?)6!A^XNa0Y^Sn<-P!B!f$=Wxwnm3^Aj3>H+z z8peuOHjUN4{+>fUGGo=T@z5+HjufLmTQlmr|K_7sX1o~qnX-J2aXPO4P*dddcy+r> zIuzDJ8XIbT(W0_cPt%-mt((L}trp6pqpAe{l3VK^9WST1>OmQbYKBm;fK$iz25u$# zESVQc!n@>Z-hGU~r8m4GBkEowyir4f>uG>k1Fo8E7#|nS7{`du^Q&p9ud1r7Rn;EF zI3{XRJCRMx|5Kd+9;GH;+y<1z+TZvpA>ItbDFV6-FlE%oki|sWPWF?D4kL$OruxOd zB`8e~M@I_Og#J?)vdQ9A(uhUipt{-)t|BLhJtou-Vmwj-H7)xgWT+JkuVtfpQYukdMJ+l=;9@ zk}4O1^G)-u}bdsIWPu6}jkt^=^VZ6#aFm?z~$?uVcvEcEhN`cK2rZeE8Mt z=RPd#b;}~@>eBg>lL|He?({h zV4OJTh8W_uD!)2wnv1llVL041=vYnQ$dOba%+4GGlq|R1ib)PNZ)1bWbX(tp!6LV$ zdqQ2vfL=}W3^HyH!BtzYq-OLpN%D1;?2vkackO(1l}zF>O6Ot-?(hGDtOgXF0)8zT zA7k@K|3h_HngEeb>3_u-x8s4RF*%K1JU%~lBonkQAb2i- zG@*=DS_JP5%7H5PGu(%C@iDG7d(pnW?}4&IO(<{Z$eX4}*9+fsY;=L6(Z2FRucNbu z2cS;rzu-jE*`J&za7M)>XZi_@XeHS7{zrKKqox_4&an?*bo?jj3GB-!aPK)V#%C}- zXnF=?@eIZXe{!C|Xryb3M(;Nd4)7Tq>^D7w1Mv(F_W%F)3=SbTqfEI0*tyY(HSIPv z4@6yHOwNhS00BnPA}LXtQPFuPoeD8Ju=&M+X7xZh4Q@4PxTAeU!yO&; zr2E7|PPLgI)3s*2gCq((A!ihRbbgVj6XF8L!hrDrS3s!0$1V{wI^{mopS%XT!-h!Y z-gyjr8uXW8-LnUSW(jSR@&d8Qo~2BLS1hu0hEj@d%P@I>AmVBcym5VT)qwaJ)9Q$7 zCXA6AruY$J$qYrEUtytU%faak-qSvr)lfJAF+|3}ud)1Fnau0$#unmWeT6tuoz*o4 z@FFkNqr)rvi#02A%#~feQO05a;tkkUf8!%7eikKbswPM80#0XsR}q->bcpoH!|18z za&>?+`)Af%*JmE>@u`t!Yt@|y7-1*c-5`l?vboICcf{p{fA&fYHx(<f^T|6@W0!uPpx9IkYeEZxsf-S8`Y z)w#!<>o{ThoXNdf{;WgG(|fi2xI@dcd$s(euI0Ob4rldJhSS8PBD}d9z7YY-j()Wv z-~)DqArd9_lk9kV5fJmfm{ga=n(_>;M2tRm04*&_&ntDKI^&u^)usH~Z za`g{fcBYQtF31BARWP328kB}QCSnx-n&K=5%@4mvlQf?$k|l0HYSrZeHC?aLqkJF> z{4f~+!Sj~MW^tQEjO1`yx5u#6s2@)O$v|H$2I~OEG0(PBs8PO53V5z09lFB^uJbvD z-c-BgRlKEb+#Sd-;FRG@KEaG8+2j!EFaz49+i42w#(`(54@BEdnz7`N?r@SKVt$i@ z$zV=|GPt;yz}KZ_*EH!oin~!I6XN9M;^-QR7H@@afnb+9ja~t2zKFicZkKC7Hqj&{ z7a#{paiJnsSr-=JG)5&^76!(+T3;s&(<>1*E=W({?RL3lMKo3yK@uGH)`L+C(O2}=cJ-Oi%A9Wgt&CA`!%K{Z>Ur?tYmv)|Wn z857LlI>==MX%Kjs&h*d?Va)xyd|-j)gD(55D4NL&*M`yqOtwW1vvxnyf;%)*+Gg0@ zZO5rCmD%ZIiQP#?lii48I~wiah*e9W8>hB5)d0hp5>2>A@Dwa+VEJP`%PTle`VNHk zrHt9Pd3mesgF;;oA3(N!mn?yJdfxUCILmkoF_tr}>-e$cNwpLFk9Pz++JAPMTDpV% zV_`iTH7K;-{w_{F>6Z#8quv*GoW|&#=Ox;;c69V^|Hxr;r3**OH|A@O1|2Fp9F6d1 zffbG9200c~*K}as@Xhq~$^#%T^U3U0znSq^ZxljZT#bKKRw_Fvrli(1G((I&w|XDS zJ7)95`xH=Y2Ev3r)v=)A0Tk3M(V-kQ?kJfp0kmRbCvWqeM)0$Iw*g!gX}MU%t7yJ0 zwrV~vx9YpR)s;Wj$`sCfvmE3^oh`~y-sSnImu4n`Dw9>f0hkN>dY zV+}BXI^S!n0%yYq?2l7?%XX<=ZGq>{lwt0SEUAky1!@>8@TEOb-XugcwT_JAd+7C& z>%XO{rdvHs-}_Nv0lFSC`fcvBUfhkD+J_zyZN5ofG z$8-#b&HMhq+<5f^(ie+OI?1k8OYu zz@=F_P4E7y$Vg8b$=>lzG&btERc_xvURLn?>ZOnY-;FYvH2?1YpC7ze#n}0G%KMzF zP2o8)nE`wKaI{Y^X}g){Itv=l!^M#L5RxLyU?WGtNDf4p2);UPMR!XlZSC4_68nNo zP_(SRrQ}^|%*Mhd{FSYgmJmFQGdpvki|cr*p0}w-NZ!TM4b5N!y48)RlJK2B#xSm)w~9S5`Kx;Z(43nZh$)a9gGeXO#L1Ny6riQ8w?@x0v441W3`A ze{isW3UeC*nJC_AbZl6c$$8dxjuh#ovcy7aPcjd#7J^jfKA}5^>d5@~UPJ;-j2@@O z*{QKTK2<+4HHSW%lJ-FruEm<%m<3f_;5`EhKqspvIeaH^nzeh+qy7D88Byk@zg!xa zxnHmZ0=N3K%M@c2n+UJPAaX!Elnyk>hnkSN4zf8zQD$@;nbE|nIjBv;yoL~-4n)~8 zmCeJUEfY0|=2_BQ+G%X;@GfWYJD{dIQJXnRUwzwGks$J^*7H32H@24g>>4Hc?dF% z++NI;Y!>;<)(XPEaG9n`0geB;xHunLj8|wmc>VLQ_CVDg^F=o27tajiDPwTFL=GDL zYKlE1>M2bH<^--cSGjV`KcLejfd^!G#VWqJ&N9{mr+L7zyTVs%3gD{#RSMLPg6w7$rT_Xgk8o55$PwR z_4uFF8W27|LC}C;8?qv4yE}2R3GGWpTebL1ixdbPbdF+yo`B`#0i;);VYQ6`Z#A7A z7#;z_Y(!n)yebGX-6UhkDs2^xLx!}%h4H;C_75K-Gl^Cl^Pbw-X4dVQ#VQQ8L8Qll%mATFbs1SbZuVH@&zp1m(knpY@Qg_ zCDK}sp;8f)z7QS=G#ofTb-;xTIvSo<6o4PT_Ah=Ay}*c&eE-XIHp>#hO~SSTMLWx_ zYW1DS*1j#6XDRCSSL!Po_%cLO9-c1RTIN&W3Yp&H4xacI|1RzTV^hU7v9s@f509&t z?{XK}2f7QiF9F7~^9?+AuH0qp-xa=Gh0yfQ637cJ~^FK<8iz1-x* z6&Pjjb2o3CHg>t6;zQie-2|PZa=OU#?0)>PRgQI&;$7)LNC-57j1LGvfvMTQj0?4f zmy>NVAM^&b#IcqEiH0ngV#$jJ&eG5}O{e#)lgRw0mi`7`&m=8oB@KX-?~VKE2PJ@h z0txW(G*OF812ZurM5!&xIF6=(3J<`;Nr>JM8t51js=s%rHqVAr=K)8cqn!h$ZQF zg@zZp3zT&+6Qf8W+zVD1=MRD4v=7k->Qhsys~@sk%Pow0?QppK(cOy*e8XW6b!lgTwDh@)=1mL;E0XkbtwheMC7Hk@c0g4dh8OQze6UP$Sdb2q*MHG?r<=m!gA)JkJIa;COng+oHjZBd0zMGW~Dp%=`= zYbv$=#l@pnudFY1_b=dnts^Qf+(~En3CQlmSJbX)2>4E0osblJ;WXiRVuj3HHuS_<>$?Xv2K?KxJ z_m0I8>JUKX;6YJgez0(kKDJF5WFcXt$0QM=^+QOa>mT}|+}1y@-O}9zzF|8FqAle9 zewj=PL=TKl13UbSZoCv+85je(V>B%w(|NUm@ES+WFn9M56L!$vyvO9AvD0qOxL!G5alv+PKzNz}#}Cpffd^6u zKC8n}^^b{T40M+G zI^QIMd$g>@L*N-|t{##~i2$O9HXZN!Sf^gDRGEoa17GBQ~ zmorN)mF)sPB^*@i{2(Oc*CBexh)yfPq2Xn`l}wcxw9#b%{~NlT->i^3^ihN~BVXq? z@VO-KaN1i?m00SU)ItN~wNRR-Jm%=DRT9d5ac*kE6z6_i4wFmzc&&D2ElHW)>*OG& zLV#O+d&Hinp-TWun;YR0aC^D?MAwa;yQgTiO#jSA&MtGd+b6C|WLrW;ZsW^^68o#3__}b~DR#0pda#B9iMnpNDu4Xve zP7M?k4#6Gl6-!>5Un@=QX$Nhho*t#$*NY-XOMuBxf2rl<9wN{e0)#gZ+*iKhLiv>H z2jmD=@8dT5CHwSsN)X6|f`km$7}_^dvtEkL;x9$!ZQuWM%Abq0uTv zV&zR_3mgm$JYboazPfj{gq{bzJ$LB`4oD3?rA z2%UhWKngV=Jf)!*aHlSqCj#=mn5|C9yFXFV|MLd{|v9S&f?K}g%{S1SSDRkdE=<#w=IO2%ds(}V_ zH#Ajf$;A++K^;>OpWSic&QsQQrDVyM=daJ9DOh@SiqW;m+X6PrB!kjj$fBt~p)jGm zoq-l$U;QuJ>+v|$hJz#C71sKq^QZRfxf{cbP znseH3EF981cGSO;NKyTx6k^mA`85xoAy&|116wl#M6Z?u!w?VJ$qQhQAu*ZY21vIk zGGvf3D>spIy?@to*>DThA61AuD)}I^NUP#NZqT%`R!U;-gk+3e2%2)5Qv2tAsz1IJ zQ<437-6ZUTE$H+baR0_@@aNP7eXeiXgX;X4A$4JU<35ve~&-v{r(NO4Bv(+5C~ zF)e%e&k-Eg-`4x6@zgq1FSR@6>Uru0CUHpy95x|^3LN%lXZCzm^$txe4AA(HN<`Wj zQH1+AUMJBTHKVhb;;M5FWGNehFgkDr0J^jg7Jdb@B_zUtwFVyd6x}lO2ts}8dtYO6 z7q)7!CkE2DG>0hr5Q`wMp{h|Pi0TVO1>J|LzPT7aVBc;wXAq333-jHKo(g`4*;11~TDa zZz1FMjO&OPOpFW-4Bpw&HsBgLc7SRHINQr_vIu_ZspQ{mtoV}_gwx=N-Ce>Z{L@ju`mP<+0 zVjf2*?aASOJkx=J>x(hJ=pjwqn4W$v+K=Vu#~lG83(o2Zyt&?FL+?OuN(d9Ow#_Q| z*lnC+8DB~ERL3if3&DMq)-|bicutpQz+jlYiy%j|ilg|9qs54btb;j_E2mGP7&=zm zGomgoI&`i~JN4F!Jkq0>C2@w_amv$z&)_#L5gwP;s$Q0xGX!Tx`<-tsFXr)z$>kit zP*WL=O#u{;j#=h_ujn<@L!iFBsAvdSm)B~An`Vivk!Ub{Z8mtiDDq^M6unRpg{9w> zeTQl&xOB(K3t*s7Jp>G-agN~7Qp%<)Fy)6RGEdD6EY(|Rw7IfQ)dss&)=-ok_6BX5 zM=swN&q7yXs>bEwK4B(kCn26)BXTzyg^Rf$Bw)_bo`1?QK~r2a_bDsARp|u-v0uY= z#BgX@9S1ie3NCy9|5M^pG*9?TFF2Jo#%jp*DxJ*P+(-*bYldbbC^AO}n@EmQqgq%U55y%3J--qDYdVhF{Ci zcMu=|H}YBB2JCfwR%}x6BcRx%7{U{dA2?qLQau8Ku(6EPWu}CbZB3*41GrDC-BWDx zJ!$SeSD8wOI5qRbY7=#D`vs>uU&B&ZQ{Tx9`Q%&spbMB@b$RBKm1HxIRtq`742f`UFolbkl?Uu>o$w@;v9UG2hi=KA09qN2A>yae zr_sp>{&NuhG#X=iqb4G-De^0=SGvK1>B_ud7Eujg*AX27omCg{ykPcT&H)(qTHTMX zep(CeykT@AXUs|U)Yh@z{k`^h<7Y+uU5XwpMT0sSl31S9<3B*|wTCbd+NFmP$iW(e zNk)P8&!7YZ>mmw%YaAPJj&IHm~cE3oFcMX*n&r43mu1+e%W9e2-*CN2TJt#G7w zsy8#=4wA=Zh^_r8I?bycLcI|HkEu5R;h?6zDkn!?rxK;b%Ya*N#yKKN+=GkjH7UGb z<#}z(YNz_e%3?3ZZka{H{_GDCEqAq$Qaaf+;gLdKuUcNvai)c4>>4(^q@2zZjPt3l z?-_U&n6AD1?Z?3oSjDA6lW&oiTq)6wksuHadmZEub0bCtMvN}qh|wb`lCBRK^{RP5 zj9}0}GD;stU<#oe0LcBCTva z6#$;Zbb7kVgbfX{!No3FT865xI8gj(eDdIEzb8Oxji!C9W_4L=A0L4Uo*1h@ z1PJwRFp_1R6uT8QVk~!mb!Sp=bg3IT?{5(#*oFF=+vi>Q+AxSRX`m#sZz`{eBPdMC ze+zr>Dh76Yb=T=?rT$7l4=Rn@IKJPP9TvavP+D)>~LT0?k^I@WK@p!5jJz zM8{ni``=4ICPW}UI%G*0k42m*?$wNa_Hh+Ltawc)fOSXEW^L) zh#PzQaC)SbD;8bRO9X7?_E(+4&MAReOO_d29EHwe+ZpB#2Z zUjjDK($n2j4(HrfGhDHbqJ#^sUw(cbJrw=T<4e86ch*q&mc>D$JZh*VfQJ0#++c*}3EjUHc%xJtXgnSQxZQ0ooFDu0*%$GpopA zF9$MDqzvqy7ddf|4aSNnW{fn(xoXO>dPw0(2x z#5RJ=Miy3zrxQ!cA4BoYPYj}y89cNOVpSYzvT^GP{}kZXsYFCE^l5{k9Xh-pp$|=u zxRlGjuLb5Z{It05|7oR2S3miAVYJ8s#kwuY2v_sQmhpOJyLKUoi>r85s+Pu~vfW@- zq^*9p{S9yxFGehOspN&q0j^W+sKF!Zc^w8Q+o;V0>vO?br<-g3a9l4c@oIT1<8z2g zszH9Iw097w)P2GH7@|~{!n>97+z_X#86VdecR{eIwPgyyNC*Va2GMq<#gWm0`Y%7S zbZtO7AQK;j#xllU$@qBry!!&NJmk2A@OIRXt9dSM(` z8#7-g4a{UPDFu6%^&+i_Wwt?448_=+a0>S9E%2GT@Ox3C2)kZNqZ z#!1Hd-77@()tAj%-% z_ji8t;Q(WOGQnD|=36MW)Z((XjD9(tlNo(s%8nivNVge%jyCR~nu+KlK5-AX=LK<W5} z(Er`vXx}Qrl^%brneNI2Yg$AZjXgSia2EB?4mxD3!xbNYtU2lX-QwAU(Fka$j=1_v z1}o$pQlP|N|I?Z(+m>u{a19Tnk#||b{iOndsSq#1)!PjisozlVX?zepVa10K)avmbU8*{l)RtmL?em`JK{NqJ7q{?SR6 zv!1@Mg^?GkT_U3dyR+Dz;M3cd)_ZY2+_@C=>c4sTTs;V(|3`V(9ChFw#V@PBH5wfw zW8QJp&o={!=e$W*9BMWuqdI#C=R%}kw|Zagzp&<~3ux4*(n?a}R>f+E=)vsGx3H}N z74P_P&@KX473i!J0rXI|be0CDbRX2|Uv3oZ_ zwHR9H)L1EEGpjsTL+&kmadXUlbKm+R);YD$HTpENw>W5iClq9C`T%&-5CqrKr>0C$ z0mu-Y9p`M5`RJfTTiqCLHyTd>sPOVS*+3QJIxX_mRSuNBEwT8&Kwm6|%lqiF4614D zZyvmQpqVk{LXZ-2Kt%1aftpYR4;`EdwM`6Mn2)}OcR(^TRxwt>>UJqo5#uHr+RO!j z4hl-~%!Khk@g_(&??>Pp0?B6lWgJhVsdArTp#2-QZ|jN-lT4Avt<@DTn>wImsCR}^hpw}XF(y1gFV<7j`fF8Zl~(p z5^7nU@VoiF!-K|i6E1z#FGyK5Mbsl%$sS}USGny>y?Kt{0%gnxc`fTSQL9N*=GzQP zO_BqM+V@<&O*4R!Y)ax_RD*ERlz~HzZE9M zr$4=%Biu`~N|x+#TZRncZxhnk5D75kv#H^(%@=8|T;Hy|wGv)(ojA<3z)_C@K}4Yp zzaQ>eOvZnB_F7!uzCf{bb=B9-O;#|YCi7Kcu;u#D&@Bv`(pv!{TAAGv4@rs+g-B-$eaiVWYnpM8C3^{pJ%j-~Pu+1y7K7jnfScc@157vC$r+v2`0b z_W@j?TrsHs;2<4x#|gf!ISxS*sN%PTqCF@lloV1MnMUabyU5EPMhUX$`{HyE5dnk9 zta%*{J!MiopOoF-CW&9i~QD5AKYv4wW)^Mp6ibJpfD!!D=Vz1U=Sg&%W&nU$X{(+4DXU^ zRX7I994V`?ZUvfS7SxB6hsRchinladfsA)*cTH>Eo0M!bJ4v80UcD-4ALBdl4Pw94 z8%2KxbtSOPQ%W^Yop&P%z|mhkf5out5LrYE2>Var>aIMDbfv5J1A%PjzR*urM5N&a zHDMpW`tnh9k;co^Pyn<ZC!2BP3Cg(;V;Hf?8rzmQ};Qw z!d|fZKq%Jm*cGUi0Y6QZF_mr%H*)tbc;5*200$}h8)ACq2S$svFMSmKBqA$H&7V!W zhLT=1amoN$RFDqki7d*Zu6h9)6n8z=yeCigyrj~rWW6DuZFGtPS;u-8+?LUGn%oc> z2UU4fNQJ54zj?(c08GB}cq^Lpu%4m_IbPFTPYxf$KmP+s%ko%2kn2cqHP306;vUPb zWy%i)9WU%ux&8`jGJtq(Gx2`Ry7rOc`aa*9@y0&0T z7Q6+y%k_8v?niZE<&p@&Me|qU&1z{plOXc4j?a3Uuj2@Xi8t{K=_%k+m*6@EQS9q* z#S3=y7#evl8wu2xDdPl?cDkkvdH2aof&|qu!jZWO#4vrRW|bo_&DC_h_qZ;&fxwuY zV5mC;z_O_Et*I|LB4yk!lZkSa?mME#U%j|^`q@{{JB_I2v9V{cfx8692)5A-i}&R4 z+&aa|u)g%K2R0i!x<80|sP$y?jIJnwnzaed+D45(sH1U$*@cNys@b0xw=yLKNKe#e zz+@{xYDJ9@9)ORFrwUtF_LCL;XkNrhKxUJ#l@)(v6m;=2RE7{)2cxfOvN&tC1@l5! zR+BryPDtZpw_Zm3qMJ~o<9iH!d{o;g6*`C3Eqik%>z(*=GcI@LRx6Ozy^>M{DRc|* z>>8raGqsj!&IZ+r{;cHk_!n`Lx=E5NCz}pGw15pNumM-Ww^7!zYA19i?yp{J1A(7Q zAV46`PiBjn+=D7>kk6{`v*!C%#xtp%a1$Nu!wh1@y=pSKQfem=I0Ee;Ud?~_@%y1c zI^jC(%jp?3J3Qfg!ZloQ2EGryR`zcmX8iacf}1ti+x;c5jC;OuWOx~c(G0>stOKM; z2yH%Z&DftNRM+1LgrNpz$}U^L7!8B7>WB9kUJ#E_ zKe`|^qhWAH4{^t_y)Q zY%ahqUqCR&Eyck>-Q*D+;%iC!R!#P8rfg*8Mc(YO{CLWWbwusqENl4K{VHeacxV$_ zddZ9l%5Qi{aCDx(MtK7kd#=-UW{RKX@=;knST2`?S`VvowGINXN{g47r&MaEF>7%a*X(L0_lE94RV+Tc=MgWVg|3lSPlP zcPLgIh#H{Mki@Lj9L;B>q(DQ{5=&`D*$dL6vQTlz;ZXgjV3V+4!`W#xbe3s^x8Uzk zCr;A`L%A5wif8guI@vGP)kd?7WPwPI_oaHMq&E)4#Z!j}=n+D-A+-|EhUIn*b+s5j z>#b3ox73AF-P6TC|Q!?_r9HGJ0k+McB@8LCG)ggAjg zR`l=`HuvQz^r@&6;&4ONqoG|dV0iKWnSGP6!0D>H>*YoV?s}6 zl|Ug>zR9O~CK}Y17o-E1F~N^NBS|G|I@L^uN5ByRwE&py1Cf~_H9~b@`nC2}xjJQ* zYX=9<4VEr4X5D*Pqw4DEncnU0>94zY zF1ubsWM))mbY*7bL}XTVjZ_F@fh~lQAB-ii`~b2*fMxl{=y$YnI3!AHoDKREX8cdIC(3s3<8+3Z>DxOW`{)xN zRXQInO(Dnoco$Nj3$fk{cL877Dm98+Zw+{Gn-IZTcKE&fd7%s@IzLxR0D|9BGz0RJ#2z){1-LXk4&jW=$eGj; z1r14z^JRirj4e;2R=)?up8C?WJxdn_Kf2CS+B)dw=dt{kdDyEMpJ1ATfr#HOWBrw7 zqD*r}RiV6g8iOCf*fi9;EXYMJs|vVb-WRm2B+hFOxCEv^m1Cjp5AmPU1X~m}y!^RH zUhpspizu5S^u6uqVCQH%g8yQ}2_AWNf!>^e6coE8w2i{dQpX3&c}&ZB&dbhG5i{|c zkJrfE0b9~97x=2>Vr4&;`H3w$dxZor293{jFU?f)+t*dO+lYi^k}ai-bDo5>JYOU{ zkJ7Jxs8?|g`z_f~cnnLKMrIGr+gW^xLg=qrh}OQ?ix(2v>WhzG`7D!R%|v{vt(KyR z(5Q^`e707^T4e}q3Hz!=9WFDm{^WjKQ%p$Uy*IVgL(^#qiQoL`QvCqoBD1`rc0in7 zyV@s!pH{#`pG<3nVahCDq;b^070|T+|C>UjrgorCJ$4gRtHD&#mRVC@u>GA^7gQ`S zJQJJB4eWv;3HP~xRzo>y9-6c0LJHlPakfX@ge^&ZK!l8t9es}4O;B<|JFZw-MHgG( zdwuv)Td)@Yz=KktEhOZqgI#{4$tyNYN7`SL>qg}Onia&cf_n8Wd%-!uD&pr^6`vFA zV2e@La=p}s>O!TZZp^L}s`L1eH*DUE(J6is(rB*?(QVSl%|A~Ig4q5W&s5|uExlV?uwELMgd_K)!lOK?2?jj zu%Gry!WVNaeH#u+MuDYp9Iy+t%tPf68dQ@_m60R7&ho@=CbHrfT$WXh>&CO)O7mDx zuNj|l>3^rW@KtZ#;nLSPWG+h0s~s(?s8F0`Yj9<;JXfk;y@V_`q_y9u_!aAhlYD-M z(pMQ}>k3%w_^fyiuvk#3zKD`B(m@qgq2)c6xLSzAgwn+dZrh8{Q#eQB=>OIeuZ8W!2=IILTEd0_8RcEVe(*=A(Jcau_g;bGr zvr8X>wvj63yXZ^6&z5b**s5wVY$-6on8_Q>aCn-_5PZt(D34QgHMXO@uMIj4e_GKU zFz7rTuGx!~YwalDG|k76;3}i;@9l|U{s{5Z;|#lnZRm4WX5a!C+KCjDBVH6nanl`x z_oHQ|~PPA8KbmEY9SB85k~Pj#(5r?3lW`AP~y(rmoR2u7F+f^T6eDcsiy9-IUW$6vr0 zAtg)6-U`Tn6wjA2(xu0mPLKu5Mg2`my zkpqN+pQBM0eS@m)43o!z9mUW*_4$wKn5KourPva1#gkRV zTrG134j;ttu|_*CR2|*jC&V*peR)(!go0KahL*U6rD;u0r=#;*MFx>`7Bw1ulSErS zdDja|vB>)}Zz1$EV4)xHBlt|#f0f(;$1|uN9BGV&a*{~MqVL%e+76n0}W^Pdx z6l!MU(jaL>glX~Vw`KSoh~Y7iOCT@l=0EGTT7^7NZD#`qQ@1{D%uEb`SX zCbgKXrtXMy?4IZEdYK4ha*}vZI_5FZA2RwHQoOTm4NTXIh_*Vn#Q!Fn^^tA+kFH0E zL5;di8;D}c?0^vgu1yABO!f^aq!r68j`KU;!VuiK5oI}+X*`*vna$kdC#*Dwg|(x( zX$pci5@9`3w&-&40OdQU$dGxB|LZugnL6RINs>+ScsWG@YXUD*Df`MM`D9m2kvyxe zh7>c$DXqn{_|2@c?1Gi_Tmi+Gt<=mc6Kc@w9Yv>aUWq_ADv5jV-go-sIe0CUJ-asN zN3lwlVA-Z{ET*$L*%jcSYA<(|{^%G{d9!PdhY)0c4%U#C-io7iDAEM{BK!X1p5gR;*xeEEG?y+ zmHB<8h0P!$oxMCeJym4M>tV?UE(J-g;G-n9scrcvZB8sMGC(R1=Xzkq{#0T$&mc!Qs2ql-lCH|H2Z_Jj+NdPIp8a6R0)e(a`WxKi46 zIlV5(0tux5H5a{kk{8JsDJh<&_}#)T@qCTo?F=(RN;^;9j9q?L38!){vJW$Um9|J) z(-YcFMGm8n-kIpHf#rEcptka;bv*%@8I;1^F%}w|9a!r4F!nrl@3C+`uaG6;<{xb^ z-fOn(GCO#Mier#VNq;xqPN>Y?YPR=gMNlspL8rK@QYOOXmbIE&IV8q0IA2_*ltVJR)=J2)VKFaHvM2#$H{xDZ2N*y_)psU4#!k4w1X4 zZhjx~nUNnN<~l*>{txw z5jKGRQ1yxIMEgv)`@6I@&vUBJ9Fa}-^o8NFi1aU1{sgVTA+q`=>c05&o612M3c=3# zyrV&VB`z;jtu&ANy}@o@^V(r813ZAkRT9t8nkr+Dm11l>PBTifcmz$t{KWi0Y$rM2 z@lFIoRFbK%I_Ui*i=3=m#fP@c(efoaBUSrh%;+&l_^R@*5#)bb%%HkjI% z=(d2&bc9P>WnGzR?FgDqnVJ?q#1tBG9pNKYLr91!`G6(sBf4Mb}sQ zd7c%~Dfr5W#zg_joZ#9!G|#vWa5_s6I0dP<7!k_~xhmeF_zo0N#Uf?f5lzJkQ)ek( zsr?9Hu!Yw+iRh4+3(M!|>cVVZQb3biEh)>uTzHW&rh9xCd5*bFLy5;>x>{Ss%vgAs zx0oPzns5FU&U}z)QyK5ae~0}J#;H&CVZ16}5!#;|zUu|^AF231SW5|(x)yx;sk!?Z z946=GiLe#XQj(^(qj7SXEzr+ak#@IyOGYBbmE-C07_t#T0>?hy5WkCuE5rSQP^Gr)GFjOjP1~v zPhwL|S#w{#wIs8-ukPB>+|<4zhf2qac+r@#r|(1-H6b<&Hcs0(goYkE#r%ch%+1bIcA)1|{VBoT);bKC!9CoS7 z;l70nc)SO{4dca^HaJwneZ%zELP27CH((KCGq9&&M--h`upx41k^=RL~bmTnV zlka`JH-ESx?(J;yG5Rh_23~e_@B9@0zfy#sZ`JgG3qscTv49wPPD&Jl<2(ivl<9bl zlvTP+=`6+_1-arEiB+}iGR~STF#VBJMfjg|A00th^^PM9=o-p7Xn3R88IbaN*UrZ% zxed2bjP)2w5O!Bn`!Gu^{}7Yf@R?!knEic4gv%ViM&V?Jkq_o~(Coz%2fN2MKR(bl}y zLZ)pKX?s#q#HRgl6EbaVN1aWHUMkrP-|9MCM?739659Uq z>uhv^8>L*i6Mg2vBi$D@=#<&#mnr60az(wzkZ7*MKtQG{`$B{~$<-sW-XpB5EPp@( zYa|x{7kDeEOK8+7ubz$pG)zIJizkkxL6NjnQxKq<=-AodE4)p(BI-Ee-T z#xo@vPBj)L(JQ9{N2EK+BU)pn@_9~Qbs1&i+S`;z#! zZ7Ub*e1~*+C8Ozryy^g#5@7;MHYWk+ z*+PsFrM^30M-qXcp>Ko-*%7CAvA?OGlY><537>B}f5Q)w?t%Ek(Ieugr9XYrEg6wk7S?6IwabIiqHPmDHN z6#1#uD|}tdCPC?srtUq9mApcRv04E;G&*IRl?g~1C|g9MQ2>SJom~|Jsz#Hy-#a8T&*YKW*zTqB5pc~s{C>R0oFmSpZ`+8Wn z4+%p0%LOjd@uR5caT4o8QHX?Xv`|?9M?kp0ug6ZN1(BW3wzQrg6N?K-4f3Gf28~q5 z;wS;_ay!1m`Tawh1ip1Hhq(>ua#Nkz-m;NTRx&y^2tkg8Pchy=Nrb@3)1OWBtx#G;NSVckDdjXM>;L1`_JSKwoEQdOd>)yDrr?z10v*7ExMQ`Gs;?q0HRpVL^SW zPK`K)122!u5k(LDY3%8h4HYHS+sej#ANHboG+pQ88O0MT&@yt*+$cxZZey_nN3X|d zmIx_Y?`PC_<5t95kZR#J+fSgM*4vMofO7x$y$ju;rxhja4K+UJjH63|j_hCVr?2*S$BXWu8DMQ`AJIPB z9x4qJxT~8XLq7&qOqR$*@1lMmm6H4YlZY>@S3NNVQMTBLd|jJro|y0|OmeostaF}c zS5bHG$Qejj=foSzZN*Lac(evXfjd|>S8P#t`+Lq{s#Q&#;oMHmL=VQ+Lkz%Zh2f9_ z2MnCU2%A^vmMo%o@#q3A#F!+^@O-gWiBfY`8&iq3 z$J%#%Tm|#?*M0c(ea_8&SSBtuxAa5?-7a%36#K8 z2*5EwH=n-nvJd^i4nYD&@abNt6N8nk;G44JpEOTLkM`~|g1x(s;P@_caC{$gaB`Os zoZQC<`u)2Mf$zTS7#5lNP&exz?}U?ZfTMWzqLvi`E`lYqyzPV1-LE!y&}C?{ah$gv z0zc$kM{t)(xQ{s)++_|1_b~^1cNxLn{fuDmE+e>yx3GVgIoQ9CIoQ9;9PHo6930$b z4i4^P4i4`!2Zwi_gPY&~VN3NJhaxH{f#bTf)odAdB47tEYeNRM8@)yQ(xBlKr8^6M zQH3l|906;rF;H&ePS@dBV#Z`(bhz?LA5VdDsUZV(7;Ma#-1KcMhUT$c(1oZ z5pc?f7pv=;jIkb8g9&zcXaCTL{yQ^S0z0YU`^v5IC2EqNmL~Wjjoz)H^#)*r{q>jS zC4%#QX0!CzE}a$U6U~R0Sm1e$!HrqQe|a;@;JMPc95yhsV)e%sAre*139RtMrz z8bxoDX{65JB(b(ibthi#gSIgzsTw-LH{hU@C$o-nzHB^62yA5oA z&Fz|kw2vAum3LT{)}g3IVlwub*f>-ZFT&m+uVh-h*GHc@_| z_%P%HbqWKCu+L$_@NUBM1m;yekeek(Oy_hxj8>Q1EJ_S!8Q6}OIuT>!ZJUQszPd2O z3iprf=Zj<(9c)MHKaox(hIvp?ZkrIKu6O6c#*Qzuls9nL8{_K&B@qf_>zyD4-JHy- zzd)(g>bgFr8=Zz({&d;McnUe_@ z;yMQOI9q8e^2^I8DlOQb^!$#eY|b z);$>XdfRYr=4rM@X*K-Y@y;+^(ay8R6SJe~msU6}`dxvM!(W+_p{4O#LdS%KWI)w-hF}=H~ zd|J*rTF)BWq2>8sJ@EB;trUyRvt5zjMG=`s)!txAw^qEjM4~@19QwB{^a!Z&)rjfnw)6tZ zGR8HUhyl)U=OF*z$%BP6P_GLMEq+e$WsPYfmlZE(MJgNfMGPU?=JQX*q-^N`Y-;YVgwH;cW`|y?LD~gDeNcTBQvtd7Os=V@wK_oP|YmXm{t|J zl#~5i30rQ47o288WO0IFD^1ma%B6LDAT#w!>0CzZ!nl4iIVGnrRHZPQ2~l-tlE;NU zHkptIE)4Rks_gSPTMwyxnlEov77@=e!3(2LR^LD)?*3nt^fgNyLg7o*GkbACA_x4b zO=ew=WBUC57df1^X@cZJ@C~nEFIeY9FcRlQ+!3)#N1rn?gvWWdf_rnHGykn7>){g$ z20G2IsA>x5m6n3h$#iWqqeM_7t1v*tE=xpp8m!Mdg#XoLiZ}n+W^#tr(uEyo4eMJK z&_mhLX+B9&&2Vr#IYSIsQ}qf(=(MDvO$9{=PuN9JL(*EcjjD#O$XsxVo+o1rXkc)c zUbhi7g!#1e4mVUdv@W#t4f(lEMaXf#EQj#c8YC0Y54Dx(>lzweMqA9#)c=j6ipPm? z?llpmXcJMW>A6_<=C2w(<4rEE(n~OetP=0Sdui|B>&4(#z7-wyb`O7Ci6fRKqVA7z z0soBvMPp@sR!v;yJ{cOj*0n*2-k2aV@i5ETx|4mlT`o5$arw@AktW|kcAp}5&J!1!$`qjPN!O2O789C}`J-jA~ zY$(_w!VY$Oy}in1*PhqWm9h*IIxZD?m7L#(ok%ys+02!iHFhQFU8UB?v+DO;5~H5W zglzC;_U0cNj@7TysZl2-Aod7vtsHVM2?f zad+gz8GXujmR%wS%41g-IX;*hom#lrAfH=(CWnbOul2EZ6~Q-pJzi*80ahzeBN6Qa z9bi>Y>5JOKc9cl?B%%N2dYM@&>@C)3&z!>QC;2+G60l36p}1$h>_pu!VL_;W^IjoR z=bUX;pY6!9vYRV`%po(x^Tp-3k(P0qRK~yK*7-{7#@yIf+X$J7|Hgxw!hnfUuJ$BG zPIkaidim)sBS%J!trXHwe%MBFA{+>v&&oNi2o^ckxq%<}!7K^}nNk215i);q5z>PS zEt&5(meK?a-_ex}9v6u{6AmsM{=>P)MvCtdkqyS94m+j1rP;=H;YxKSp?#MAxewIh z^a^rpqM%TnrCZ(GR0GDX5hn`cm`T!Poq^-YVa8{j2`-KD3moK< z9esg$5d%CJ`v;wH@_1!iBaOA36H`CqmU4dnp(9WJtTIN&xfagTPLdXdj*dVdeIME! zLc3zj(1jfpzg6pr_dNfE?(h3$o*JJ+>_sK1n4lCBc)Z|O%!C)?EXQw0SxPV%;=kbg zFid049C4NjARr@xJ@aA?rY(a+TyR8Z#0f=K_kwL3{Q~}z#+7Vwgv;GBEwhR&*7_}2 zzY+eAMH3dR9t@|VnZ!z-IZoH@^qb;zkwq7ATEHTT!3kQRmjo|cYZ8*J-ZT{9&7}`n zKpDdRxzVVEsxi$s>X4OpZ`a?=n+NWfyYB3Yx%OtsImwAlYVkoOe%+RZF^eh3yM4#!r3!|#0#zicGqj_@ z7nO}zN=s+_RCmEJJ6E|pjNYvmDLm0buEON4or^HHN@9@Oub>`RcD>BDG(=7iIRh9Y(3yFKF zBL-Tx%E|0vsyC|KNc|D@R-DQs6+y!@{T1rocMj%FdWj}aDT76VMq@Z9R=#-$Ug)v0b)s&zOz`8| zvVb28)>bywkLjo?&r0^S<(_&(mHnfR-RFpz0d$}8@B8g@u&;e#exmbqW=bw79H4gZ zY_!HVK=q+;k=Yhk8O=v&KpCQTs!m$-6^!7kT}ag8)SwewDmHK3;Q$J`Rs0#N$XPIA zWetlj<;JhfC5Dz18~Mr;pO?uxIhGqw_N_asRw!Kx3-te_1*#qX%9>-`R*7|a6-~2w zt(2S>JuuAqO3{eiyj>=7gz>K|SZ^&6EW3wgCRp8)s)g7+jJgN=TX^^!TX!AmEAdo2 z*jIgO65EzjK$z|7=l5bI-~IFV4|c)P>h^m*nu7j;btn8_PeLCHsH|BC%S47GU{Lb6 zIkS{!SB@QT;JPM`!za1=il_(IgTqF{MGHI}+H6?fS`ZPmw|arKKGCex9(HojBdhSw zFl^RX6(#Q=uBiCljI$@GSkDP&oix>B=oEV5{jCA--DU;aP9S<_sm;0xS-Wjld)5;| zGpDNVDbHs(Y3Ot0vPcv011Bu`0`MaW#s%=AtxZ zH)Z$3cDpeaQ8^z>;}Q&P$`tFi8KTWKFzQnU$ytC^KO>R|abPO8F^TXDcKe50iuc(r z*zjEaMuwo;4H+kH)vEBYVn;4Lyt(GL;o)oLdgYCmlkbR)@nRKb$<0R-j;6gxWQ)hJpgwU^Z8UPouT1NT^z0Um2XD38 zp5vK~>}9uVzUpqL2Pr*R$o>4p zk|hTC7K}*L9|kwgm{zNB#;h>1?V=q^ug9SOe4Y4HG8Hg$q|Frr*FIE?UYc)1f)I6`&DnVx}*PCyZ{%mA5RFGWtRI{> z0HT=C<&`p9tp+Mn78)uw^Q{kdp1#MAx^Ap+bn%2zt@a{u2klO;-P*S?;+uc{ciB?# zN>@yPfinfeWR{_f#6)c>Sl@|CPn0Trj%`P$oWx+D*jb#X!yz&|Q$#?#raXzG?gf}E zU$5c6x1vGMD7q4hA6?;PDX^5pD%Zz*s<5KeY;=*%GF7L4F~>uFI8c`8l0cCeHPd&k z5bH;d1jY2a@Iuf2n2eWEcez|{(cfoVPGb|=;>R$80v+*Xo{iUVD#qh?YpPwOq}4h{ z2@!^`UNJI}L?&OodbQ=U6QoXgw7?3jp?L#BRN;sS^*0zB-oye(-|jGBBjWNuQpd)Y z`X?u7B;h-ax_D|K`OsyY&XBlqi%&u623smOurAc9{v=(bSjIwO7A_)oYo81TUd1ty z*;M84wXP%1QWCGo{8ilu5$ZU_kq*>se!7N(GXo~^)H)@eje=g3ob3p^2{9)5Ct38EG52%hHgB!z3}8>{HuGUC}5!x&pi zlc##v>0|wFXim6}QqRaa^`|Ffv~-7amgV`H&6HO-*-Liv!{e%b1t=g#`F3f}9;pMjgegHblZZ{!O1PBek7mdYcTcu)TcLtS6-Hxhp6 zJUJ)B4J(cKa=nt_BSK_^ULaVMk>be*&u{efu9oMi^W0zHv9=BKO(6pu^_yh0t{MV7 ze2myY`fAjPsC7-@6N$z8FH|Gt=k~sWCv3ousvg-)wpHk&bZH9AUt?u%%y}|i>^(S` z{wy=qXB-?&79&>igK0zRvgMRa`6N&@wTRxv^K=FV<9IEL?2-ZeB+OpyMz3njC-kuL zQC#pLxYa~Aracn}W2J0!@CaA+-5Hw?#;yC_pnOUOqNvU+7sjg-&_u4%26!TiYrB$v zJip)&-08E^Cog`njc$&h-cV-9Ho?!p7RdFIoX1#PR)(%vl`8OX>@C<>f1Xz6mQnEN zI;SD1$ijER5wc!Jaj<-vGEqB(__E%Y20NPdwHr}@ZhekbA05<4N-2=NW|emsmM*x_ z1ZBvQa9#I`&70)mwRo3?9nSKl{GmyGy9F$_o7#2xiHj9hI!A9YF#cLzsn2DkJiI_doyMi@&;BL2?z~>C} zX=@eX7NU8g*lRym&Q6xmgh5hd1vYv~oP4sgD)sPID>+ zy$9`HxTCFdFYfM2RLym|n1Z2&#V&=}ZluQCL!fKNV~poLe4uENI}h@zbWI2$WIE@x z2A42N^0SK!vo3K*qJks}7TVFZmm${> zX1soF-2AB@FmiX61eTf#1Z$w(njqd0@-x+QLB6m9gd}@xf0a0}^cyg-xaKFA_!?!h z>7W+uBALnF*2%7C*Qg%}M^*o1(4*RbAkG=>AF@6qv?l_$B+4z%Lk&FXe1=V)QIptO z{gb^6@QbFHwz7t<_CJAwuoXiW1)pN?u1~S|Tk#YpcYTVJ--4&uKe*#lKm*_ZQykoN zMIC(iE9&NNeBd)e8Iw6c2-S)JifVzhU0WsQBkWILSnxnIm?Kj3IYd&G<6h?$+)o}j zzn<_(DVy^IT`}WpM>aqzbn|mutvR6dLtRCCSc2T&?}Sp0waJXK_tIu=c z0#-R5+PW)IQ|k4OI$O=K3SGD3(SQ&&6xRviF=$bHsZ+85x0f{O_}c9VPR+QQ5QV4s zu8hxnM8j1L81%@Sb&^v_yZb;wC*P?q3W@klz%iZBi^&5Nqj!F;BYrL^6R1qDbGAHV zf&yLCWfzgV8h;Mi5iSXMYinZk;JhLgG7_ZZ>4$zruz7;A0CkmG*j=>3^mgLoU*>TR z>!&0S_OcCkTwNO1RSeU-DpwC@Sgc2@Wk#Cb?wdoR9sx9DOZgU96^zrzQY_1^H80D; ztjn?@U=pL2EsVQfDvUUg=ZTM~Mw8rbu^DAmqXAakhq}I^dHr*}u2*&Ya(PAb>etN$ zw#-HBBQ=AyO!@SgFc$e-eePcAifF-?^zYPe=mBLszs@%xlJ{;6ro`ZIlj?Y^;-T0A9A;VnZ|~_JvtU zDFzxOn;BE`I-l4Tet2=HsL_9m6&TeO)#626lwc1qa9g7G|!Z4E;UgpZ-58~N|SAEj-4aldp_PO#qaPF zpa*{k3yx`1YAav$IM$04zZ{#?ypr?Y6ntvsF^YEDd{ucz!B>T6&B|+2TNvCl*AG)f zx6Km7MQ=y%6balg%~w+gzOR|Q6w!~vsVAEP-A0zEZ`S!R&?B(0@^pqyQqS&FvksL} z_T0F;VR2NW5Ins?Q;}IPgjF7KW-neSTaGGM9|o&$^~0zTG4c2cD<$0aQw+W=5>H)S zF~RYfck`c++hD?=^7->PdY(?2<9G0IlML^f!(&Zq3QOg8+FhuiS!y!{#kjg& zqCqsfww4o{pTuDki&tir%FnZcuzx2J{?Dktm?X34S1@GQO>oiKLLUMApb8*Qka3HA!*2UOO2^^xd;!!Ng zGkwOfK%(l;5qlgaBb;ZttK@G~IW&Vl#`Cm8bF2}MwB&JfuY8k>TQ)VQ{pfbLSAqp)3>}s6yA9 zM^m|kt9W7w?obL*Ct*zHr_fP>Wjsr;Y9dNk4Dy{3nP0K&Y;CCc?2@q9B%&t2;fLn6 zjt0ktFz`X;Zt`#Bvf0{DKiz&y;qXwINk_GGD=wXoxO#w1r=)nkuu8#g0v*1tsu`D! z=abA$CwHBukcUuVrxoQ+l~$vRi?g%Q+zKuo-|fMdw7{SO8h0Me{7%G`9{(w;5M<10 zg0voif)AH`%=XLif;^Es(eC!k_@!Yx@mk%Qsq+Xe49ZiKK1ZigS(Uj)@a^a;=WsYBQ*dxV74ga(6xSB?Hup&B|{ao_2 zrVZQP8Idp$na}+0aV@Lyj}tIptUz@?9=&H4rknqq)-Q4-1!^ma1wy?yMRyIGX&Q(m zRSjQcc(C=e>bI{i{3>3c`u2U0;q`#o_02LDGF_W5$-luaU zvS8&84pGxpExNJN@tCJ3DN1Pk;S|^K|MEebfX<5-51%}F_!aygJ8#iG>Csq2ZO8?6 z49#HHN^yM-2^cqJ`wI_UV@|V0Qu&gvl?TcM$VdU~PY8?&Zs!ue6iv z5HG4(<3DU^YwLN`$GA}cB$R{sJzms&oH}q=FVx5!I!RHPlKD#yLRPJ1U$=qT1j@EU zi=f^}b)?}pvLwAx1%Wr48HG(ap5Io(P?>J^4^v;;b|03bp~-fmTuiYJp9+~V+91SJ zxuM|h|MT29$v0J= z{%V@e;&B3&0ytq$XH=;Z-clsor$d2Oq*0Tdc01XM5jMpXK2q58;7>&ce@ZC~fMohZ zNg5c_TqO0!zcpaC+41v_CQmRD{vhG{WFeu)m^;&BzgfM3M#7;&7Tejn$q1$p^I4dmIgXX?D0 zcwUj({gVl7wz@o7?e_Lbs~#&>LYewGIh~G^<%jZhbe?jvFnBZx5q`cM;emHzM^H7B zGtS$q(>KqfGr3sa>e0@Lv}^Wxm_Q#js#d5R=G#hf!ggxb%)(9-AWm7QL$$k2>vCYL zW64^kXAH6PTHFiqR6SYoXHpHwAU;4ipSG-UH`{v(%H({r0y{n(?^^hbKT4O8nV zk)`Ok6P)1objdJ!X=IJeH+O6h9f}Dr$Mpjn?E89Gn|gOe4;A$I6KdiWG@&B=X+Bz~ zs~Q;$xdO~Il+D^Ik>@IIB$nnK9E?UA5lHYI6uxG)-GknSE$|)G!ZwSb2rPe;Aiqur z_iQ~aI9gb!X2f&Y-Y3hAI(z}QeDcZ~bDkhBgOgb5Q>F8lmd{9HlA^ecm;O{`xnNbz zuHtJ1-O~@4ME-*ziF+X~vFMxwAo-dwrw1cKUuEa3uR8V?f3VX#wDoQ(*&@iKvk7oH zh@m$oU)-QcX0npuH{6@e?|X~xD(QX0y;+gxTXcr?;;ZQfGfCIqzPt2%qu%iH+rPK; z{U)8!<+tnXW_N89MLg|3Yq7tz%;^8b6Mr*x0e^_jRnT2eV zNhN-v-`hPph`Jy3cK0K^p+gRMPV(f%wt03-pM0)B4n(ROo?9+NL(wwY4(Z`*d7g7g zoYbfiR=OD6{0{VH;oO)eX@^e9oght8&w@YpPgon~=5GZ`i-O2DWh~2<>Vjq8ey%JU zPnMf6h9{gu8;18p{_O;c!Wg-_4Z1S;tI~q~LFB}LWjIt1lsH-=-`Y^{BkLdWFf>B% z(lefoIyJ24G#mTl@C1!Z5m(KN!xdeI3Fm~vK_@CXdYL8|Dzp{kOYs_~Zwe zA*1hLAFMt>?o6|FL6UX_cu3L^3HFe56&R9R)n=`AFUif&%~cG$(j2VoeNr3`Z>XD)`(x7kUM9rBe^)2~ z*Rr14$~7KeUL)65iRHAVXprW{Yl20AkEH4G7$JG{Z%fjY5)Reb%=&;Bjc$i{Y@HLq z309~KnB?y2n!5M&Xjr$fZEmzGz{Z)+TjoTo8b$GTD-){DdR(}0H50j5hlC9V-wshC zzFY3LzQ`)iJ5S=3;v2D^NKTa53%yc8t|sXdX2b)|LuT$n^in0&Ymk5_Xf7z9IY_2v#vFlskNvbpPZ)H$YU54ZRT>o zb_t8Tq)#53+q#`(wbu$$`VylDnY$nJe?~d+!t0CiG4I+Tw!s+BVM-5(6gES7N&@;s z%+25nE_U4cd&o_eHKX?7C!J{Cze?RzB5hmefxH3INrF!iHF;O8`=~m!b7)`upcM_< z;}>5zbZg3ktEVWfQMF;o%59y0pIv*JgJv7I-6s!ftQotP7;Od%Eh0Fz28pMH@5?eg zv^7e+q^`;QE8f7oMd88k*SsZC?zIfU_tm`E0;v>qFru7FbW;mR??)d+M?Ls|4o~p^ zIY2ed!{chPR8qSvJgrS8cqdjs67I_C)ik9MqnT-;o%BLv(hmZdvht!4Xe7bSaaiBe z;{0%_F0`4Tx^MN2{0t$LRrPqj%%AmER4~-4#hye{1dUSzKQUrZuxkfY1V5?H>T~Db z2XCe8O^`mp6BM!B;4v(+R7+>8=aM9{B~z+_I7TxzJW)o4H0u7yX0pNjme2~E&ea!0 zTL(>9jAa0ZKGL2sy1iw0;?lz|{7tr~!akdW)R4>a4ax*0jiNYkM28vWz)k@BCnHev z6>?VTbc*JFC|#ktg566xx4#IC|M+AORqzyHhzJiYd0*n1vS-HTrl`2|+Zm|gMWgO% z!SUc>sU^ubTegFSHH~JSTNjV;AT;(yV0<14TfNM9U}SSroNF^Q`^tMC*Ui66>)I<( zu+O$BrhrEo)(gsCetChQCX2eF1ShG3DX!)25j>FTk%E&FrxCB%I6Mm5J`>}=Gyv|` zw|t0Wmx4G}u7R*_RHiIhUY(FO`Q_ELI>&7AD{ot|(FDgTr;+t+yDmP%#kN%SL>JU{ z6lzw1UaDHPp)ai)MHKjtB{1!*a&FU7gsNz=Zka~iALADMPkkr^^dglGZU|f960*(4 zEVV+h!&5LcAM0qwDJHzQ^kOB6SXia!DZk;z>eqtmG$WLNfX2Ny!X%E3gK!;;?FykrjWb)}-D5D&XJDW?tc%fGqX^9na{N(@sOuEk!dUIH|=15I`8aQRMjOo+{%G;l1pS6fJU z6^sf|@Z3=sM#nXLR14@&5&yLmi^x+Q6OzfcDC=oW=E2EEokjlHz9YM;xt@M>LRZ-g zjVOvklo_!C;MsAVUL^;n)&6dC6S6jlD2qr~^t7QnqsI0Z(wk74}F zT7;*Q+IT&~+5_0NJNnNf^Pj^~#ez}=zyN+g8d>2Mhbf2e9>ZEiQEU!m=y$FQ zp7R7t2W3lo_6k0YF@EX{4j99a3qi_+pQGRJ_i(iI|KNX1Py`)UXjI)K#?uhlG}FXa z3&pWUU>0YLR#&dBy4mwSWP}wP3by48A*aY(O~-I&oN9duK4vf%daGWIm8h0O$bwYA z>205IN`gREsEERfbrC-_jCIIw6ZT_<%Nl$Ay`fta%JQ8YPK@9ti)9!j1%XvKF(9P7PMDSYBRR zlchd;b-Ax^)ib=`+ok`nqm<*uc9+lNd+!l8vE9MJf%?CcJNp&0m*nYXO_{t{M|@S2 zmq}E(`MN4$C2eWi0CTnS7_?hxFt9P1-3!jw3+{CR#|{-26>9`%TeV?Vc-Y5tq{CQc z*Rb?d&@EmTRY^?zjVv~_d@Q|Xd}2FU+(uE0JnDyV5f)?exru+VLYaOHm8>J&Xx)gh zv5g)n+r_bpyc6rAsQ;*UuzPZ_-)XRpg3SruG&R^+he*-Hq=RPUMMM_*yL`iQ_CQ0(WMw@2$a?8Je?BXiZ*J5v14{kQ{kADGx+E%lS&MF zi%)|`XUBus<0T$^M7^qK>+uiU(cq{@zf>+-w*gpIf4ZIEG?lJYxK&lEK8gUnmTSOf zN^jI=j6N0ZCJT$;puX3O6m}|XfegWjAU|NGVFVVpJzYSfKM0ZpMLfI&m0AsWX3Lp< zkK=VPHB4pgAZuz$f_#*k{SI{HkM*32+R~a{4|fha_?5ysIiw4sgNQGw`il8iE8d0OeZk#1{6ge}c;O~S zo9oJsS3aqpd$*y9$7(z#Gb=PrM3H>VOJ(HtIm%5$s?$I*mFz9v70V^c)W2 zLTSjyu!{ariA1i7iq&V2t5LDvyET8DX$rHXP3&-n0+YB8gG6uJ{%J!fg#as}b@uH< zd*1^i+`9}N)GlrnCtICcQnd*oNjk6F)(~T`!-Q>y@D%ylj+jj0FO;k&y`^I8F3C%K zJnDGI!z`DQ((HV7MY}TB@i$sDta5ER`A%6i|0>bXR7w9Zk;$W|bB(lf%)c(PmSUM2 zI4o5Ss^5{>YL;D7@N5(>;}%WBz-yaUzu%&1HiPg~N+m>S3VhJj056_Jt(@z?uw9G{ z2*mARo0@0)%e~FwI5qu+9>`pw2T}JBqBz87N2oo0feCsFs!coO4O4aVFR=0g9GYOc zUf0?l1O-s0SRFBwDqRCB6PkFM&gRk22{$l9;9Vy=EsAU;N9ZXws%DUS(2k3GBnNKE zgP6dVv9N6$^#JA*M9Tfs#R7{VA3y#1soRkf&#NY3(|zd@OP!p-fDwg@2{S8-sJLfL z7U?(1*m{20zu)kC#!F7oKi0aQ;KU^kz_(j$84-9aKON)Pk(&{Yr==wls^U>HJhpf! zV2F|p(lX!sYAvFq=i4pO_=(llANyIQM=MoeuLnhJ)}jRfi9ko9a9O zmvAeV1|Auu1bmTT4#C?OCdLN6$`-T+{|D#Xw2MkCxCupjU%ZH(JShcv->qkaMbb1V za9xK=^q`SENp@xlCVm8;>RNC{W{I_2uzAU5B8FMHM0lqFsnm#SzZC)vS)d#rF7(UY zH@o7f*20mR@IMNkQ>x2~x*kiMuU_@i(Wv%NJ*E08r?Mu^1$_{``s6fvi-0x8eWgiJ zbs!J(HP&|KumDl5wcFnc1LYLn%tZn4sJ4xHKmdS;#0ZF(G>3Y$y3T6Q8$?~=gWu}d ztmFOtGR}=h*T;}A&Ns2uz?83W6Xxy|83@{_A}PhMCNT9k&whuJ@32ZThNtIc)psow zMnY2c$n;Qd+tT}Lu|1>w6LE%iEQPU1wd;_|D$CxJt5Pk&ytk1C0~;0JFxsb?M;qe& zgxaQs=FiuY;+py>`-v5v>&tAlO0QY>;q!VCV%6kZ`#wkY%j%?7uowr>-;KstwKSf_ z7kOGt7bLSgi8mR^lYBRN?X>U`Te$U@2D@m{#PcCiAr+&o4Tkbc-}mNh>(&F<+l?+V zu&1Y+58xO2zPk+IP?iOJ<(C-YxQI7?DYQIxK2LXk5#RB39PNT@c^$+4%?^Fb0lZfC z+_qzmizk=!$f$MGpIADNJ}>yTqmS|1%CiL+S)X%i@&$Nsl-t|1v+9ll-?54gyPy45 z+fHx(wGTtmbDATfsth#9fMh4QO6AbAM6rNK#zxn>7$PErAdww*%j6FV+3C3QY?_SM zRE437X3)eS_;ZSWrC7WY6LA+6~U$z5RNkfI8fma*ih<+5oLJ`v_vJu7k zw#z3NM*_?AYOgyV9ji$5u^zoL-^mBmLRe8hv=_gEVGXnEXmpKJFiG>7Q^3bJHm)7I zY;fE52kqM5yKVb>?b_eJZTtJ}+CR8$`v(nKmXvEi#1OzT2UPZXnp~js2B19`bn0BQjx@MP^1pn%0U(76V}6sS<9IV1M`W{Mhv- z&tEs7TTZ~uf6Y){gR)ipr+UsO)0Gpj0>foBmA#XGmCc>y=vHjwJ)(pqhfp!Iu?};rZcE`(biHc%T-~!+tMsUXES;-X1Xa_<&y}1 zbxw*6I#)*cc7w`>=BAl`X#N)-0_KS1TPzEZQ9lkM7mg+@)~=4)tS+*sdx3#N0?V&C zL8%PG%Zg_Zjx$Sf4u?X8upFzg9>gJ=^U3A>r(sG|p9s~Z{B?BcE7bd3n%`}Ooxx|+ z%D@Vj{^u=ngg3^~vBRSlyLOPP;fdv7R%sGSc&#>MYO@v*Ta(4);s!@QYa19<2mn76 zSYIe>1<8ZuvPT0fl0DLuvb}vhN^S2{m{mHi=uTy@%=JlKZEL4+745ZHp{AAX2%{tI zDD~1F9UdMSrkxhmu-qq^u{+Uvsm=f^%fP#?L@tH!E63jh!DOr}Zw5+^QVRD*mzE zy`!jmu$oq5Yk3H|Z!_F`qH+#Sh0+BHPKR#yTbYm^ObD1U?I+~sahTkx#9)Lla)(@} zakW=)JC$`(H()XHNR0GK-#w!0vOZscOtx~3GR17Vqfn(miOI>H0F0)seER5ilTg9u zRMLU{t(b&+Vs8qOB4QlD!=YIm%A-jqK=#x|_)y+LU7)~5Ht|qHD$}NnkwTap<>T-e ze6nc!*wDFyh-5PRCkIsabMyav;8)<8Bhd#hE0#m6ezOVHJ&UaxdtE|GJdgO3t@2}< zY?Frz!lGq>HDG%aXoW?9`HFb4z=&jq%A79AJVUUGtq_CbTMG~keY2De^Et}k^tS8) z`QpfpLsB=?4@zIvc3AyAXIP%3a^tAv`uahsi{|k-sT$D|))JQggI%}f@zn&F+kIvn z4W3psf+__yOOh3Xn{{Ht7C2Kfp-Q}rjPGq{z3LT7RyT5stqWgln0}(ogGv)DLLeoj z@aH^=*f%911&eSLQK%})=c5sImG0N zv-wId_!qfeU#dc6JAPCQE-u=t(9~tjmZOz$Q}BHj5lh8RFH_&!J>EM6L+W^M_wdJe zahz&=gAM%-@5vH4LRZ(Spvsyd_lHWso-U@3bU_xb%YU4;)9QI6W5iFbGRmLM^nvg^ zBS_cVHRj*p?0$jVL<#)QEE{wBI>db$U}aYyq=Vt{>x7Idm`Y)*18vS=9JNfcD=E0E^zL=VcIO|BDwpPo5wN%U!ISP;8{yL=P(1m*}A#W9D3!%l9@hX_~4@ zEA1FX2;pgy!CUGoCGsoO_Up{}AGP9SWZNhqAhp~rS7R2Puu{%m)Xi2~n^-fH3|8kf z-jNuahWD#VbEe{W9!>KUX*p4>XK=EiB@-Nux~BX?C67F?aAD9N<>CuxgVWmg0vD5ELVFWacvoi2#DWRBt6m6VKV?IOhx$8&vM#hb^! zRuNNcD8UBsHK3j7*;4q) zcZ;v*>6VL>pdV}wJu_#wa!#2^Z=O;KGxf)b3uFuo4uF555m-C;w=)WyPdMI^a`Gus zKl#&u>y?c7+l^$LO!7oAi)4#QW%ug0+xP#{(^^(&lZe=ObO$X43ge2nEdJCp9qM?+ z^ui?1*m^ds`9p-3&u+XZQcK5IaXC<7i0Y0cbfwR0WsvEPto3sG^3AiTxGq+SW4Ye^ z#cwCK?cf)0m(l)m=c|smkzcAh3Y#Qa$hW>K|HeCF`_yzfDeVm3YWKBllB(8;_dBPn zqb?_@CCJ#o+;H>X>)QV4VdNK=73(1t&MJ3ZD-~-K0u~mt&yBfmDjp~EYpLKerC$8p z{sAkP%r7x*EjPwo`XvM{lNsu%g*~*7`PUsdKPGE*aGlyS@?^~DCCv)|4Mw=rUiq%L zuqF)N)N8(tw0$ISz;W}l>l{&)qloF8sE>>IoA_e7X&1ksyBd3dH_I6XeGBec@S#sJ z6v>X&x`4T;_VlcrGL8i9RabQ>V^Ydt=rpp);d>Rwgq9SdK2@?-c&f&Mjn7(IY72E2 z5BMoq_`2=I*5z=Sr56cSMy^b?ohp{3$~9yG`@fue-Z!IEl*ugv?Hrp0cRzmb>aoL+ zV4*`(7$TV@C^t*nPg0O{=RA|&yz;iQEXPYnvp9#H4{YZS|M7a3!68!Uio(le##Y>^ zlN)kq$7oDMA#6(X7ReP1&In1$m>xx)0?Q6BF&8F(!+*w67w*s_|7p~LM~M>n`t{ZP zZ1gApHvTDI=x&q{1dfJkB;r{*Mli2iJ7@+@^UP&h@CTIELKq^IQ;)5!`4ZddIP^m_ zulORc`gw^f&4d_O9fSEF81`VT>Sa7jz*){_*#tfc@^+?~HDh{!%+R|?OJZlR!{W^& z{dR?NkZpElQxJ2ibsX?I!Z0j+#EQFEFAH1`ndH3FY!M(Ow}ic%EnZZ%>m#wbC&j@s^WTGGeF>NUuAh=+eqRITQ~eFRh|?HX27rhC->{ChqK>AANffm)5X;u9-MnS67*e2 zJBC4o90Jb5C@P}SG)*o;#owi(4Cz+0vanWohvNAGofX;X3|*WB##IowaIKGBezRE} zkAg1*7>O(Dd8(t#7JM`w<@irP)pnPPB_A&VWvH;%5u#A^|NSj zbX>-oHrLkJA}q3fBxZ9!Ka4=Bv}=6ChN(kMglG4|vQW!MeLTYx#XX0)8>5s^rV^0B z@K{Un84sWe%kwXPP`9mX9Z);-;NyaH6x3A%-B)L%T3vQLG$0Vzs(kEx7Ec0@88nI5 z7_-U}s6FRXLXuLW+W<`&4zN5)Mu~pyi-pj~zm){25c|4p# zKReNIes#~(xFr}$i3wL-sNiVisz0)hq9oPfX1Y*%rlfnyynQI5n-`BfGFv5uNHz!$ zub}0x6v?SXjkB6K9@yA)SY7I`xQMxT7p%G!@BpPr>)kR<|O{b>%{=sQf=u z5|1beMif^mQod6)dF*^Rs!o#~c<$GK=297dVdL#_i}`9sqpU zG~a=;O+zJK*OvezxvjhIR2AP|Q4{d*s723NA`xpsO7#9AA~ z6gHWkHX~{%4#;A{C%4C4o8r$(aFQv|gaz`D>=GRh+_p+lREe#E9!cQZz^D5?#vSc9 z;EsGia1dzZ8+>+@;T1PPQN*r^*}W2Nax0VuW_m<{lkQ+p3qGnEQx$r;#c*EBt=51X z@KL`Gd{i}_3fy#y;hgfF)@WdZ#`=9Yyb*eQcsIb2xmXY{c8pGUiK&q+pAkU@=9yzy zE{A)^w`8tWU4*M0zu+L(b3e$nkA^cjGdKSPs~X}rSR!ZV0IhssM0E4=`E&i1m*lMN zRDlT|*hvEm@K9>5q--6}X2$1(voE!*D^(TB9HD9wsH^h0GB^_!sH$1roVuc2gNQ1q zZ%|*+u0bTfeU;}Lto3WIb>wn0hhpAb zSy%C=3AY{d+AI9CkIJoW2ath?WM%oveXu2{Eg1=~x3qw<&{*J3rdsavm3(1yeWaN) zc$&*(#wRxJdF^JeqDV3@d*;gjU(Mc~3oBU+AUj`?G>s{vWM195Q%NZ>_}LHx>q&H$ zlVp1I3He!V%Pif@g}lLbNm1W8;-_ffaOfJc5N2l>5Tn%1pC}bpvPUgEe2%5*xv2qD zGw3F2^R=p!vO=G;u68m2fvR=yLY|$|hGtUx2ki zOA&ght~Jex8(f>`OPFGCD=?svqaQYkF0W@Qp zXYjnH-I5o~-?|!4upG+#8cpHj#!W0HBJSC>Hj22*syL)>Kp>UG;ys#TS(jps+QGw~ zb#|!NbhNww<4T9l)~Hsod_v*yu+2c!kKSu;oCG2n zz$bOOz=vEjEwrl{Y&A{vBUPg?`atUyc=q4euYKbw>K`2L?jN+6q?>;rz!d1^a$-1z zCeW8kK~=;Ts>_8k*K9IrHwE_0vzaLyr@kE3iYeGZa0Asl!Z*tQiG%c%DOu;Ti{Lna zzviDxk|?F^+Vg7f7iYhYKrtn_7c+_SnIbG%) zlJ^i`Z`6rvUnj5?50Xkv|19e79fy+A<1m2{j~%tg>}UW>w~K^zr)`kMKf=jrDFoAyccC z+gQV}EiE_%I7t@hTsk_dMyhZjpb^<0(2eDHZQh}ZDUpx6Em&MF^(YUXBN{a8maSC%1WqK`v^_Z0mm)Ptoty zJVn2Eo2TgK-}S5L_v;>_f18I0iC1skWr%~iAr8KSc|K;XsXNW{Ufo0N-R2>RbG78> z>0KuI=09u_d5y~wuU=7}n>M5Uj}2?MafOy90pJlGjjnttv>sGCv2sMpucl-OYbOh7 z4MCm3?zGFyk?rOk67Rs}U#}^q{N1OBy!4QmR$g8xJ=fXiEhg0oq=GC;zmK9XX^0&w zrG$SF)E)jzxh3;6I2ikfl5nc9py`?Q)`>P$GWs@CNUz!_jsk%MJBPH-POn|KGzOn+ zRVrUH&~e4*s>?MR8GR1G#md|mDTqPMB91cb z$&{qqsvMW4XBOj-`HM3}2;SDDLwKn8nl7;Xz~K5#>D-sNZcywV9<}9#>tXI^K|XCgkSTOw!GlANZn*<`5KjlTIAlz}G7-yOMb;2~g|8b!Ley zyU@ZO884UMykkz!uSh?SqtSXpG;LL?-8x2vDWJ0qix`b0tmDiCAT4PRg4e;J zX)1=2t9iV5_-PF9_jS;~5XOLeGAUk%;BG$bq=Yy*+&%1_hyk!I_6~K&XgOsNKicm- z+UxBe?j4Ao3&X~=BA8{Cg8Uv^A1x3l(uAuT|0Zlg+`?!G;Y*yg_Fpj7MIaj%+uF$V zYD@6U=jkMlPR|~&DJGmp&;MGIGsD^qSVPGT7x__`CwxxH)0t`aO^DP^kRjYa7Scw}Z{K z=J|SEF2^9mRvAdwp6H9~T{sSHD7}u4iJN^O&^nzPpnvMxDTU3eN8Z_mkSufBijovu zjWw*_>u8wHW@|7b1XCBiP&5bJJcd^Y2t!jL3yUjAfCf--DAGLGtSnNh#-2HV%a9zyz6K_n&j~qE<0()>y?LZv4g467wJ5m z#W~n{U?n+oVNCZK*<*;HM)OGzFd-SYD*`fS(*=^TGJnec-N1W(;K||)Q{laf>oEe6 z`iI9_x@%*h`SVqhSLw@ltRfd{=cAx9^M(DFA1JaFTdYijM%D!*?y~%%Qz+WPvaLgf zk2~XZl6tUri*&@nXUv8Sx3N2DD3+Nd3k#Ga_t76K6u3!qQJ(o-{LMGYavvtMAUvMu zQ}RFo@5Bh~s5}lCstAuAA!iGgs+f+) zE+SeX8h2TUIIu7G60lqq5`Yd)_@Ek26D)B|M?q?$5{DdLir=ECBcbl#`7=txHpvzw z@mOL@aLLGq>kz+3l3!ZIeqR5hc$wn2rvhm*oaU-xY}#U(>td>E%Z@>W3Fzp)Ao(2l zWlTO-KeyZfB5S%A^Joxl*}kR6MpskrDI{+f=`15kby$f%`q9Pwj}LzIBmCC?RR-pw zb6^(7$S(>KxSNNoeFJk8FY)+1&9R{QX_jM5;OSXCME^+$fo8}fBHB*dcO6I}aJ3l5D)6pBf>RuKgU zt7lXdS}B@h*F1Vbor^#0Kr2^QnOap%L?U$^s2ry*h4ny~HHcWNHWQZ>Y^*CJA3)YI=7c)Wa#OIW%Of`) z;t)>UXp|>c36JzKR;m?K8XfYDA+HqO@Ept^IXBPnax?CgbFMpuedY1cnzjo~-LD!J zOES~e8T|{kCd#Bz_!aIvPbX`)5Z>v3RszYcz@UQL0tzW!-@JP7T9+ ze+3sx)xhvwGFtKH;qg$Xq-}zO3Y^otQaq+Q_&>;02mi-*X^+sOIqLNow)@u~R7c2k ziiglwLF5v6$o-v@0etrpD$`HQO%}7g=mYz5!5XHWFD#iQJ3OJ9SFWrl)@Dcj38chZ znHw%^n<}t_VBXVNk79y!FEcwVj6();Ig(bun%81fTFNpGIFqkKvZ@{~0LQH^jvW z+iBM7E&LpBc^sX}E#Ln$Ofw1_4dV+oDVrYPQ@;K&UjJM221ZDCHJe?xp8qqs;rk!| za+;!hCgp5RgMWorpW)Tt|Hy~gFdApGR^xsQ*FLdoUcRSM-;5|+pxCv|Sxg~6O}ed) z4il=I;~1}1PV0KZG8jJYE&{P>AX=p&`N2)ihfZCAKmlv)u9^qru)lS&e34z#Gs> z8E3g{Fvb#)W#t7`ccafaZEAso2Zjj`Y4705Ux!iRkCdiHE2TZn1 zDMh)SP{T}VSF{TjxhbkjR@n@X_L$0pV8#A5icVqBw7flXHL&_#;gUutROYn(S4YuW zFDehy9ez_N(o=mOzVsp#5L3687DSO0HA}+1T+-=cIDCN_a;wzd3H5e~Is2j511d8Y z{Sl-}2pE^GRHj_h@jrOrqZ~9NkqvinC>3k-wdO*~awrKUrgd0cI>dN4S}~a9di*vthdEgc7mBt;-s>ep+@6 zha%&=ymahfKccV-cTVV${ys^s2V^5Y#ic;`Y}@QtWzMW#6-G-8<2;2$w2BG;bY|b7 zpjgk|d=~BX4-a?xaNsPb@y@`(iq|Ac<&nOGv46F#MW(DA<>U2i0t1MtV21Z?(weGH zW6EXPbVgx@613wpmsOc3n^Jkw-y?!>@YGTjutCu`F}YOIEaR)OR5&eO624bNE~CNz z4)Un_xAzYoX}QAiY$|%>B3bEO22*dcqbp@ji41P*&>#l_5u*Ti@}f{0F7R(VZDE9b zO}kpP3xlF~gWr*9YS6AJ32@f8wb!n#)illPn)1x6Wp#s=NktPJZVwZg`HBIP>U^Y+ zMWqer^2UgtrGWQ5GSSH8AX@Ty_J?S#xhjq&N{!dqJVviKpatpSNXhHamm9-Ll12N+ zJed_Z8m$%^I`esqocMrA03r$R++Kpo54nQZyxk|EpNsv zOE>rXZEx=P9kcvzeh@axN9}BLyMC@@bPx#hp&^w~P?^H3GbKe4!#v~Yyr}}7vL9P+ zU&-oyy-t@3JM^*ohpo|PXBLK3O1%SH>^Pa3?7}yQ--AD26^hMeh(*r~wzJatG*e>A z`J#~X48}XU9?fbPSR0abRr7oE2Oii+@;5C}jsHRF^* zLP-k9?+@mSo##8By?ws(RuAZl=x0PVkIGL!6LFaB2(E#DY1UWuXB^R6W}hiGTod8a zg4Kg|REt_XVa3#lW%kDkZpD)9K^say@#8cLpc5drpVPGz+j1c4hruh$Pg22isQ>(( zJxL`WVJ!)v1$;3Cf<7-$rG^5x(~eKs05%(lr}mwwLz+ieYgzL=x*`*5IXC!NfZW+Y)rU0C1XH5JPY zNgLI*MR{;iheIQy3Ye14hDd6zI9hV*zORMk*HCm!trOF@t@ml*j!r?hLbEqx=+_Go zYs6vvk{K&s3d0QlfI-Y)?L@nUbMqrEIUvZyLnMpH30Yam`4T%jD&L2ntGdylv<8<2 ztG+M`(s7x!6uw{I*8=WA7+&~C_1H}EPhD$N9Rl?z(*$`iOdSvcD4{w2vzkZKQvI4P zyJIIWr7lj7BBAjYhoIC|?(r60D_q+|3gNA%andz;5KRY_Caf zk#P7%OEx0x^|+}3v|63qu}75cq5-3~(j@mVY%EaDo1zvfx8#5q@F(;ux1*sz@JC3Z zI|QEsfy;|{OvtXAzxP3_$ekTAK?GeD5A$B%SXRdeopy_=U?sxp1ee45t&LC)@af4i zMYi%;OgrpjkjfI<{q%Xn&fn3B_Cla9ECTT$cg%K6@)+0}pCIRB63Jm!%O+!PvcI;F zKv}i%Y#YrrB1<=a>x0cJxRG3YXK)m~grg2?1ftjRLMnGOhJ2ii5*r#a4*26wF1@Du@il!HbnYEr&;OEQYlt%io9v7a=aynkt5v- z|AGED2I6x$x2WvZaC@(2Vlhw|sw#_BU#%`~#mSl_wWf(eX_UzH)DD0K?D(l~_O)al&a;gLsR)YvDGH0ifdHP<*$~4xt!0_0*h~DFr z!Pqi9M6QzA>H_U&z6*{JvRr7UDI7Vy<^j!!9jJyS1P zRxAFHV1<8YG`86&iWdI+CF{j37jMVZO6whuIz-o;v{zVH%V(?3PI1nfb1x?B zS0qT^|ExM%a4qmZI!?ZJzd?OfM>p$6wlQNv)lua>LzSGk8urca|By3x@P`Y_u{B4) zDBH=`Gof$6ms7FXqusmUB||jTUVh%Nq!sHCGHTl8nQ$JVp`6M#&k#?^Ou&uOv3_sy z9CZLGT^JvBER`H?d-#RY zOyexzL*}sf#@_6^2Dx2Tr8mF6Ug`Q3&{L0ad#@h@QE4F7h#*+)x`xdu&~@&xlWA{k zl;*Gi(JUVkz>Gh6LERFiXY7Ji^sv@5vm*|Z5q)8Z{ifeBzm_IrBL;52Tlb{(-W3r+ z2tBTP5oy7QV4MN78dnx6{y4$ZnOhH>;}n3?oKmoZ$e-wIc=Eu%dIERViL=_#h@)j6yP!8jp{Y2(qThnTWPOh zog1`M(49kE%JQEkn@a2Gzk5(ch@;GWP5hTZ^XT%Tz27Ph=2PMXUnw?Qvor$CG!{>G zMzOQydNEq9y*m0B73e!C`W(X^2>Zl!w(e}*!D8n5(Bf3+W;A{R&ou0aEW}3;3yMr?+ zDOPX_SXAoSY|M7zL9e&n>-8ugTi{+eR*C=FY?xs&6|Bf;nZ(*ySE`ce&8-6TahZVT z?FQ<6bemzWf>%y~GGzFBm_p8$@V}~eT-krO7FA{|u)6h?j*+LM4aXard99o(Fij>g zi*GNk8K#&QohqqSw(exGsWJN^+w6-xvu~elXREG#U*biwuv8mpb_~=XwHJ?s{Q;2@6MFCY}*@SWZ<%^LT7Ljvc&_J_OZ*fdOVkvYg^%&XP&Y=VZ`h zXz43d`mCDZ{P>`^U*q$LcUlpJx0OXP9HbmH{g*dWI7h)xEUAz7vDh6W^7|B($Ho5d zwS!PrWwtH8Is8qXsMtA5^sFhc`rc$CkbZZ$;x7XgE5eLLK3KuT%w7A(@Xev^Yp&v* zkTTDf-0XOrV-)(lZ!s7?wc{dB*GN?ZUL@U4Mk0Sv>-;>n{6%wn>LibK2F6cnkfRoQb|u9-%}R7f(c}CYmS^;fS&}ZCh9oOcn!fV>Fs~*_azn)g zJhKt3rm~6tStP4qxjRhw8T{`PmDT5aXN2;h2n>5$ufNviLuvbY}PQO}^A)U$+@`nl>)ANjq_3xV!){c{dw%#<$$2H*mwzK?Fx-!A*}T5icipB>#whVKZ_?`TH%QCPqJ&8>ZALOTB6)0kmYVhTXMKwVofLp@FZUvWNdyH&%rJj6U*puoUPx*a9MU4 zb$|J*$CMPj`TJ>|IEW~nYbW_|B5S5dJkFaR+g2}&3iuKy*Wd5;qIopLnEr~DT_x`? zO5w%odX|(*`ogpD+v-Vnzg zjmWa!RFzUWB%950n&(Nf3af{il3Jc$W4&5Et2kSj1(b-EiLZ@UhiSrYewAexqNib1 zr;d=j8eQ!I96ic8-TZSxVLJ+tWndlpdKO2YEuiK!yLY)neB(AC#5P^RdyE{?kAXiUM;^z|D2 z8i6gsGOtYvt9xegGSC~=Vp8nDT*X;e%L~DWt?L0d8>3nk=;SI}v}#DR>V{*bBlsj7 zUg55F!&VTjqJ}n#o5cZF*SQtv$$7PNFeT@}j~(aXXR#yFL@~*DCRMcHgrSzDqSRBk zUzMdw=253RM9~Q^)p2>76#~ZI;hzzN^*{5$jHwjHNWu0$vs}+`2}m5NJ67PTsiFCmYig8{J;l_ zY#NIsUT-*r&)sH9L-|CSZD3rWYG~+#it5!uA`$>aHfAjV(fii#U4~=hAI#21v(Jkf zjz&qQ@foSOR&~hp9j5xnDrUb(RwyzN`kse*7LUq zfUI$6stb_SW}O;?XM>YS$Wu>_$P~Ld|4<2vz(krFXA6v&EYkvyfly^J-c|oiOFGDI zng5`-SM#-~p5inw7o99xq}VlT*J`a6Dlvwh#1jjxVg8vh3Z&x(o+Gn}?v&R`u<%`BK&$2N% zH{Ya_i6ZuyEJKRKQs-X>IWDqU=0%9$FVPA-mRX5eD)!mJSlVWEo4&ylj> zT2#^G5~ULtbzKvV9qwx|*@_6$ktKLu=gVCbUieiNnp) zU&GvI1w`HpiXmK(nw&EeUk^P+NlU#unx-rNdi5l`{lK%R+<)t5seh9Ak`Sz?A|Jt3 zksO#nLy3^0YX0QC`VyVldNdtpSBo-p8KYyL!~Z5MT1tg-yj*a z9`viggMKA7oab)K=cuPMj?Uo^<+VGUU5uj((W5u_48bh9Ncb0*@Zpb>^@wTobhTau z@FcJWCa^iGP?>dQI0N<~9aFIRbTvg$;t|p>i(gkCVeyI7?VhNfaulyxi;SO9ecl`5 zSLazo=hZ7$^?Si{3Wg322kE3rLe|l>AnUv>}f_EMOf8M>WyTjPz62b}3gkOq}YKkRcGB!tyOzfxvMxtX2#5nH6tUk zA~NS(vt+(Bbc3LXAcCOc4O&D|6a>4`7Q4l!wY5bb^g-yOEs8d%=z~Webo`ew#y>`k zh>VkzU4rRw|j4rlvE>+@KKiEmS@xw@D(1Ivwoi-p8 zGs=oir=o0{Vmi=r~DCR}k7q#b7*v9pk~+9l(!Rfb-I4LP$8fUKx*M)#%UjGG~_Y`*f+w_>j3XS_fMw(d%Ra3);4!T?%uM zJ5q$S^cu2F(CkW7L;w2lwKRwWih7`UkLr52T5e8=Lmu5E+a(J)T<6dNeiF~&=vCJ( zI6Vum$n^l5m8%Qji?`GAi;CI@)SN@>b%`S?W(a(U>hSbx%~z6zfpX|r8?a+rt84It zVPV0ey6Ka}O_;^(?iJqrxo*7R!Tr$-mURjmSX@Dy9*qq*A?#xXD&l*pgX$b>GF@E) zau>eu!z7FtG8|}nXbr9yyI&>CbV$E<;He1mPh6zgMUv;&HbnE={EI^v@T;C(_}icX{J60>+^+ON!dut8m*!Uh?Ds)Fiy(>&7oA)iVF2W$a@K2 z8>Q4F3E|_2+{5y0ov%mx$l^D}$=~2gH%%v%)B(N1SM-{qiE8`Lfw#%#HW{3wY7JVoS)os>;WQ;3Kh}v#npQyw zm|_=;m2q{>fIY9D4uXm0I-N;Xy#f;VRG;M}5sPTBb8wFW2X|)fIt{`awRKOsms)CS zVH>+^;3|Z|=a|4OGzZoNGF&Dj_21F)C{piecCDU}DMp78B!mvt-+P!JcdUQcN7W6& zDTmRW$!kV6k4}GqyIUH`o{yquD?ui^HF;{ zEn-)2T(UoM{go!&To-d<2gH_$w`gkZe?LHzl2BwR`3n12Q~LEP&1UNT&MZZ3PNYOo zF&@FoL;#!wfYf~AhO^U-j6|K!LXL^U-> zS!pQKkZYQ4BjJ@MRT^@HU%{$h_WbuJ6Qv`%2gsxH>Kq4NeMMImG_b!vLj4wXlYXo5 zY8Caf=zcU+|1TL|)dkfsFyhb$!&blRf{7`11z{Z04H2MB_2EB2{+~Y4Gav($`qy-` zfc_GA|9wLPL_2n-G z>O<>CvIokjts16B57mTl~HwoxqAn+#JHr#fCX?Mc{w40*?`_;xtHtiw3bDylT~7wd$-zLbStbc zlGpblU2e*_Bbl!}zrxYa9zL2_dL5u1J;cOTu8+faK<>)ft0vJup?!VgJV3#fnl6ne zuNacYXc364;7eqeVDPNy9G~T(%xX4vQ}lC$a~jX&Cf@Fq=_&RBap}P9K>>Y5E$i6S zwk_h0a*+%b6Iw)lw`y}IT`9-r@`E~(oocw7L}yT9<=s#G6rcdLyv?ZzY4~ilHz=bI z4Gu5cOD5}hwg#rUfU~8TNhv>2e5)EgDR`A!jF9YSxw)LoKO=fATVc49)*IyO&(Npn z=@{tK`(>g&ba1+Jcu&7BtSA&w40;x@ULv;DE5=?6K^9OVLmsBJOs5xW=?HlPmg#I* zEYd+wiPnt{XnU$L<={>fiGlZ9%IyMLv(MXMuEO)j&6`?%{*t z6c_ATYw`iOH=Ana+-hfctc9=AlKZx0fZOFf^2^3)N+ho58(@;k0mMN5Gs2R_=iu&9 zQ>nZjw1*KtL_1eW-Z)t5TAZz~8RJS#UH{1AHYRy3vhq5cuQv26E72==;oEt0rg_CSe&QH0t0zkZ`z;ug%YaA~4+XpFrQWp6S9`6PH_Cbno%xbuE;Wz*0 zM_ajZwV8tiwR!Xz5H+vCntGW7s-}@PJVs!?~Bg zu$3Q#{cQHIXcAGC=aVL?o!Wj@Kn z{d+=#3ID0r_CaJMlF*k#{O?eu1Kz<{FYl({159urdV>zEQu8vMIc#arXZW#p=;2`z z7IiWwU@FCX`lIh}Liv28W&~?xaNRbx~gQ&|zCu@pQ4N)O?{V$v;NuqQYoSRNLt@ z^oo|lcg0V^04Q4m@)oy+b#-M@Q==PKhoP^dkGp%7yHIVk+HwtK8-o2p^KHOSEtDI( za%&&~xmwiL?5LH+>`05@P-3_rRTBrs7izx&z|3e2pVa4z>Ryn%u{VcGymhsq)aYT7f}cTr@w`t%dAYU01vPR;re6=W4{D?FFcOg zCRaU_->9|2H1wovLr?D3&^0Dqrz!kgYs6{SMx5@}h)|_|+e{*f7ADg z*a6*u(SFAUjP`eHfL|d7C`SA6D;_FMlAUSE$ZLsH`)J47OItm94B)pz_zjLlrpj?! zmE#?&JVktyszP9vA?Jizk|Sxy&F_6gj8bxoil^~ReN0mtn9ACh3=pe9cVd}`f*LVe zMKuOwsXVl5e2+e-`j{*=u~71{C!iZmjthzEhh2kmp?KT)qFCgRhyJ!u3w9nogl2Q9 z^`a=UmLkKZpR7y=5*fhYl4~lPA2ywyl=RG4xu59xe zYrO*-TR|!Jk3AnM=88akrFORuC{+zEW4%=rnAnhJ>=9I_I5jE%o&=GW4>F7!}umywkTl}M}eyi{9*OI$;Dm*1=rfT z^aR?j4Ll0s32%2vY;8yAp>|Tb>ZyLu)2V$0r?;hOvDZ0e&hv78mPba z>@$00hLHC z_HbRXL-j)YuExiRQ#;xfr?y?#GK^cp@K^|k_A7k{xfs8Ter4jJc>j0m&Hn0DtSTth z3^@7DBo|9jbWG8r+?h=N3Srw_~1-~VS_ z-+#-3tPTV)^R7F<;)08VIojx@p)808&Mpzu+SH<4OI+pD(9icU44qeMxX8HPnl22k zS#&KqW0TZlXZnF$qa*e4;C@8*w)3&;jIy=>2i@(#`Mi&ORYJ+@!uhs8&90Fi+lN|e zyHy+t8v^a${uHR0*O+WSRj)5yxbg7kvbG3U~0vP>oS#b!lje(?$!RC+=F0?j3+vM}OgtMWVqn{{q2RMPm z19%AicWXNk;hDuY!XaV;VjOvf>xCse_PjK(iQl@6hu<>@dF)hJP2 zgj+S&hGC$FuojYFNw)H}l?rK1p{P(;ktbORus8})yFe>m{CG0<;?<;1$_roTUr4#%TJrFYjD$@Vt6NVXsn38C@as9VFrOwmO_FxDF%Yt}W4)<#P`ndo}F)Q}e0amSCvshzjjW(3=5C#RCkUbR;9m06+Q0u2Jzcx`5^WJb5 z+Xy2FIESQt?=cg*qAi!gNBTCc0MMxJzN~b|m>i$yaeR#wUK{I7UTSidcnOO+Xw};^ zH!~;NQ5?}%ucMh-kZ_%S{tv)n^PjY;rfw$|_Kr?ZoqDdap_8 z9FOuIb$~xRyQ?Hh?Z-(xD+Je*o{j1)t<~sE7jcq>$hAc<+%=AwU0agDY@^u*XYYO> zr5Z~&M|mh%Po_&)&u88l(VF*eN(nXfu8kaPF7VqlGQeu-II--$>1B<(Qc?JVb^e72 z_K)@fy_-%ZNUpS5S&}ex8C(-^w1~3+kE@sW_c)6;v$Tj_Z-{@bOn&IflG07+UM$Qo z#{jyFB+?d5CcNCtIz`q2JLdTavW(%8VgiDDuH^5Q*{bREQak=I2;Lb_i=EKt^)-Hg z-$Zd~B2ZPGIStTz38fHQX}4;ZS^5DQ(J&uB;54){adsPQOl`aQ4}Q`yV$$g-#8(^j)&L1}#<1c!%xLOFe*yu>Q z#jqribw~U(9^=0^g_|h;+v-J9N1auRtX3(#_7`1jGuZq>Uc5FB-kJ~cK}LgCW(vH! zKAF`S?Kpaz=F>EXtu=a-x;?2nb36T;Q z_PALCyj9vWY#XYZ)oh+a7=JICO}VSU)=GS;uQV`1I0;#ib|aEd!7)t}#`vhIjDgo< zKN_;BVuX&X-SRw+uGCxvN;-9V$so*Tb(!_7eU4q!)0TjfW@^<}O<~rJqAP0QcsPOu z>laSM8RvO$`}E!xb&)}v0XK_=@UGRtZ5`7Rp}VD#-_|=}9z>u9YC>V@Xwm($b~rJo zZM}fR!sJ?XIa_a|Rkq}aI@$wo$6I!)-MA>F*-%@GqH|!dv9FfiCP#hFdv)S*YsEf~ zF@^`}EsXI;96{XrkX(80p~!u#PKZQ{{<|}Thj^y4Q$h1e*4%pAiXkeC_t0u2g?D}t+pjmx<&&kcg9YSN)q`8|Ftfd%%4grL9tTj%E zK3zBnsr_ILwBSN<04IumUP=qxUB5d346O@!{~_tCax2gitDT~*DyGxh;4E}MOqM4LGV|9Q$SvQUq zzDj(d2Q&FvgPa9a)Eo#F463VhlWzVaXTy8ifTh_T&iN#8kgKOldNW;HR-*&h(2h>- z`{;fYpMw*bZ%Os3M1n^Rgb+|Pf{|0lD5Rr} zFr>PsRRPAo8t`5hS(H#_?h}}5-#GUB7a+SiK5*c|9hFEnm9;LJvRi75>|lL0f&9f9 zWHK8>Qk*N3i2700Mm;c8n^n?qBBWW$c#;~4iwLt<$y$3)ojFYj6r68?`>wjvOn*8i zTByZUp|w4F!O}v$E*37?=l?}J_U2#4h3P!amThQJxV}AN$|>eD2V=)9^iK7tBGOeV z-o2CXyW$fZEP~Aef(x%ZARM6_HQuD5aVhApkc($iLM-@)r*p zLz~2+riN|4imdq1r#=|EOlMj#mr*#+)iY0DQ3|M;+4$;Ak>lM<95)s?8XrxkyA?=} zG!4rTQ{)!5^|S~$i*@Hj zn!ri1HWv1t4?h;i_fDaghju8A#Za8ekvI&DL|6yXJ;_*b~s$G|G;b?ev+!a>{@#_`FWsca{F37#)2^;Q+zNEWfZ)P!B zig_$ga`&Phq*KKFDJ9|YUD^?kS119HRns&jS8YV4+!fmi3tWKv|NwUkhz*)}*hi1L9i zUp)Wh(aUF!7#uT09I4UMBf{w(GRepE`#erF6i!hcZX*( zh`wzd&Ex1XJorpJc+VL;{cg4Br5p15MQbmh@tZOctyh!(Z+vun-R7t+XQ%PaUBpbK z8v-l`$Ffh1be|-8?lq~uhJ(oh93pHadsu<{$%8feo$F-BZ(EygYt0qmzCCv1l zL^{&t!peK&Q*{ao&>^F(Y&5x5(HCh}=E4S^xdQ0=yom08CbEg6``p@LR{rSdDMA7oBGj&@ibvJ8pMD8NUCGI=g5;l&@^N(0m4^IyQN3 zC@WN!Tl`}K?FEtM;dcPjhr+zk!z_6pJu2qPWGpU$p-vP?@2DMc==-=jyPWPtpRl(H zkRP5{w`%W3xgggB7D;=9FDSS#t^B&aSdIE`s~@LF@43m~I&pq>D@<>h+ zqEN>1QS0$E_cJIqbv57r7DXnsbNo=$(6DcvozmmHy`A7R?rVH7}bZ7Df8RB5|-uh zpd`UZS~O-osM`46NQcVQS%S9hO*OOApfVPodE2Q>`rz{(EwPSJH0*ZE%`&2L`#mI@ zK0NASwj=xmNl$=JRo4#o)kwhK4Ck9+Hj64|BdyD8T($8QbtcrSYLxVP1s2pSO5a?m~8+NXRHlR<$94(7P=d*T_CN%Z2;Lwd@8xnFCO z7t(kjq^+z$DDEHD_9L#G$j;M~NKEt47y@Yg5N6HtbBiQiqnJ;PtV)pHk`ZsA?W_P0 zH1OuQr*@o5aPg^L z6)fMuR`iQ^9*g45`ILn)eMo>qBV(0_c&!mY;fJ#%i`76fzE%sPNBxIieHuL;nDlq1 z7p)iI_@lSzst4A=7cE&1A;&E2Uo+~jmk4D-iY|IXt>}4D%?QGA^S?N{zb`|+A^=CL zlT!3D55|EffE}wAtr6fCbu|pI^yTpM zlfmygz;J2sD=XkglgFqh#MXl5gmyVOH)+1DFbNN*@y8XKxLLgN%7o)R&OUpGqg1NH zF5;N*%kiEJerAzzc?d zsY%DR|JMn4$C>){Ds$R}g;@l@|DBJCxf?Yph+OwI8GA5y!$KB1s6pwOdnP}V)0fy- zplP@)CRefJyulhO>N$=JEX)+p%j-85rjoBN>JiW1H zA!X=^zVc8HUYuJNU)IDkxv+-+kdF40afEp`NleH;JCU<=j`lEcXU}_XGbWAAc=TbL zF$FEw*#_d{mDh%8V;dfS*fvxfWqw6{wgN5GAsnx97Qx3&qDv%0 z^M8}_XGb<4a67LTfOAJI&Q?26bx4gvr1!uVLO_I9Nn>wd`WC^Lw8Vn98yDS6)9GMs z<#B0N6Sq?fg@o?5c6Kh=UOf7HywkF0ev^#7^= z8bxV4SdX$sxvM6D+?3kfr118)oBh$@xW|8;O!=?<^MhV1*QLoY-GP!!Q>!`TRb3c- zn&{NF7YKZ1?h8huGtdu@ z14VP@cU@hyGd#>TEyUg31brDFL1-2Zx<~B`iW{sA9>{=@&1w0T4NlwWb`DDMQ;&aB z487hz)si{2t4_69E@>jn(#v!PxK#2!aBS1~wa%iSNBEzUeP#ZQ%?aO<&b?-|K8NAh zo)_8B6;aEfzdldqblauIw-~>@X1!CbAc0NOh~Y>F!PVx&HUdj8x2VKY$9n{pgfLiA z4mT_9=2VAycE-)5V6Cq5NdKaN4I9#@RLkoyqHOvXE*zg+2}6`viip9K4tce_@-692 zf4Q@Z`$I6+2a@+JL;XIaoSYu);^Bri1-;xm@m93N9k{}0MHM~F=LtXqzXbLs?b5Mq zDciD~PQYC^`cVmlhd(hk?{xqh_jw6E7rHDX=ucx11D!6`2CY$JTef72{P-LX&6-~_ zVJ>PJTV;Ogp&`BwF#p-~(ok#EMipc6Y3Ub^T?rMfOWafc1S`O9**0a-c4i(I5a22% zV4LdBtcukpi`_giGN|xG+xJz7*=28jtuQDGfIQ0Q5k^+p>j=y2%#+ zPgMLy!vojA(nv)|{hw_QfiOjB5IWhizIevYJOP5FVxDG~*S)SBt7T2e+?6i(V$@PD zplO|Pa!-2gT&=v2HnO#Tb?@~(R6E~F)2j7(Tzzx3r4z?wgR*&@oOP`xNG?5ox70YV zZ=bmJQK~XOVv@^yKbLq!El_S{lgUY=OsSfNIfVxk`8b$iaLwb~{uB*8NepY?C)|j& z6!%!CiJ&hxxUs_%l%9l(V5S|OKrn^%4sT}8c_Nf|OUDSX!@NlY=<0*fZL@5xqq?|O z7PfEJe`?vgTDZeJ^uEiB>*CzEY(ghQqo|K&xZJ!-;Xp=?<~7Ps;PEFA%S}t4$*T$D zzMM|glCe-{{C#jyY7Y_ktnmeGO81-QmjKM~w6OwvG$LR&P?rql4QWq|t zW|KyrpbC`7Y7)p&fxx+8b()QcE300bLKte>T@VC2^Iw_0%2hV9nzul$OW^WXg z*{^^dgT`c!dqK!ns(TQqRXRA<7*g<+xiM;7lt`=2V%*~NsePxkf%)%^+!1Tuy?s;G zl;=U5r*Hr+$~=vuL%lF4g9&a5+ucUv9FCaDLUkWYBes+2hd&!7c=1I|;j5Xkn7QeLOlAbB8g*9>d4ZP26c!;(T1MeH z?uRr4tk$(H6Cke61F(zIh}Z}T3f?sA%&7KP_pBJy0H07C=&EYR8rJE0Q_5s$@V4Mq zLu6Tsqf!##Va&s(W;{s7+A#rfHF^|A1$}b%M_xmC*dhqAYx7NywJ}(Y3Zc1T;ILej z=R8Y^2pps={Wq#6!;=Tm6Z4ApqAwprUz&z+g2|<_2ZWtmbuxE*HGvhGGa(}hXn;;J zGhps74pN`VNqAmvNM#5Jw0&nGMlmaN5ZKQkO{TgCiH<95`Nr!^%3Rz;`(=Y^4zC=& z9lc>sPMN&02Q7SB)B$wgC=$XiP8VDTapoE}#Qo_3kcdeh;~5cW0M;WR%|ua62Ak=9 zwKM@`F!qU2`(|(-sClPuV#Y|g-Fpo^dRQ|ABKNR(HKML~l4LdD0PWv+O|8^`NJ^I` z(FqmL2urFBbS{s>M-qc>K`jP3Zs6Ae$j_(GG~}ms6F<+KbjM)gjdpU-(GRiWfto$f zw~G>PQ}oo*#u~P-yAW*t?vir8?W3zh876|9*UocwMD>o?E+4YC3rPOvUuiuRmz()S z3+{!_#-Lvxy+t0%$3U?6{U)B>9+!`wZYs2n38rNL`P3e@L@2Ad$cp*3#YmLJ3KsVB z>>3DA;_SRTA8g*kFuasT~+Y9)LA$yHdPYv`MdMOlF!HO2{Pi&ybvCH{w=v}!u0u0euVpR*>LEw^Hm|^)6E~RrOE_%rb(I3 z=G)00C!5rox!UA12(mO3PzdCzMty+BYr~=vmimkZQ*zNLvV3PVHqXJHTNV(r!UPT6 zR`s&*Win5Z9#ysKGxb+d0-OxIN7bGtXjZf4`E&K3I!UuG7t?{&+=2-c#uf>c%R6RHUO)XMnO``t!pm!`LA z1!O|9^R>|6!Kr$|Cq3US`Iwz8LRCQvCJb350UfC#iad587$vQYs!Oo*k;@%)qD`h`XXQ|#Q4e6~q1D^sFqB8O> z;r*{YngjdX#q$1Q&=dz4k4E>7qyE9+{=K7v6CDP?7V204Iap_2M8KC+)xm)W92j^& z=2tC1aPZ)8^x(+E2q1TRp0G|Wb`jZ^ou8X)3`^2-@AEi?&&iG_>Nx}r12|1!(owbWG)8(Ju{4t~D7+!0q%pgT~ zU=(qdfE!N>2Nstd(9{?@r^n3tUd$Li!Wq{D%j%MiO(NA1R4*sX-bizXLU z?{&C;HXNPujK*=S0%?V_v|6TB1*=L3h02#xEe~ zjW>{uswVj+%Qj0+O7G>$Wa>c#L9Im8EF2a@AQ+(J4w6LPNQO8@$A{5*GATiPvo{F4 z62j+Co0wa3FKm;nta}&8W(w&O`7!vRA9*)u)|zNw+!U4%y9qjV)A|p(_Op@ef4fn5 zdrr7O(0x+87di;!m-kPHtY4I7_^pD=b%tMr>f4;p1Q7H9AeYYIqMrI$U!NQ7iH@Gd zR02PiyjR6kzreVObo;~;NsWs4s(Js9{VVH{{A>yE!5lD9spQh(i>?&W!o{}yIj3lcFr$juO6^J&9~q%eySzPgfL`^ zTce?@uZy_GGG^Ot+vcHdNMcnnRp_5-d*!PlA_U#>xJhQ}479ZEa@DPMn3CkLe>Uh8 z&HTMzpES#By(r#|a@G|sfmE5iP}8W&iqsz)AM5Zri2Br7N}_Rt2E~> zIUb)n+nv^72rDe$Y)%B}otBR5yDW zGK-nP`+@h-ZJ_y%H4)vl+DX&dwmq7j_T%R~_>@OxFbG@)JrdZX$r?j`KmAIKZ3Ii}$8mk1*mTk2r=(PIzRZCIDZ zYH_`-8E^2e?JeEq7NCvVD#w4i_~oT zqk+r}P`|=Mu;|ir^kI!K-?%l7Bk~C;kgpmgi6CXfj(j1=@k3q_NH^gy&nzMQ3@_1) zexayEqZjm|i25tFt1kvLFD~+8dI8kBYTiY3!DSDYEvKYZ>94@X+iaEdX=K!w40{tz zI_(A40dIOzy*ecCo&{+-jKe*3H8}~};}wO_sYd6Z>w@numk+f5ZAY!)2AXH}S;Al} zVn~ICj56@jS_-SV03&qK*FM=Fo{XXw$yM}CQC>t}0`|46I%Y5~e@*O!v67NG93Mmv!EhTe6+a3d6nLu=Ruz$W|sR!SP2&q3~$X zH7^yzat1Q>u3i&)sZkpbr~C#|WyI1mMBIbnI)(`A=!6J!U`qX;IHjr!fc}G}FlahA z0;q@XidVqTS`YcgRaHz0&xHn+yIPo~ZwXpt7r>C-kMkU`duqF*RrRXLbAc%*)Nzl! z!Q)wIj1h8}czY46^BQx6D|}2U1lCxTZ17%Dajhs=o08dW3QJ&(;p{w-jDmhZ;+287 z43Zo&=OWNSET~RM5iF^VodTSg88FSmt!`P=R&oOuy6ac)PeHAa5{$oIYPBvhP;+l9 z)-;F<)ODyrVdHTVlGQC9di~~)(rLO|=sXN=4J!+@h1DCP>Fg`Rn(DB~tu^cr8aEhV ztjl9fs|8P&fLJdR;Juoe9dl-r{(b5JEQGTEZD!=@_}(Ebk`>7pmD;W=xnxK1eVIUJ z23YC6CeNSQZ7Z$8md=EA9AK5R-pEv(-TfZl{CQdk7wXIvo)Q|aUC##88@nd-3fV~0 zYbI)Ye7!0+RX|RmNnwKLnI@l|S{J=VR%4QBF}IgqX4gv~i+W1ACH_(k<`#wk8Hk|1 zV!@iDB_ta4Bb;-FBV}a{S~Y(ABa*M8%rTwop~YOewKlab1@0F*4XDGx0j03w(j*uw z-6p$>wfm9QK$T6c-0#pznXE_cMC->M-n`T~k1n5bR{?ton>w1ERp7lhH`=IY$m#nx zaQdQEhIaZgR`yp6@C0Q%)UW~eK9uG&_ZpBBv8IRk4`}77I7QCZqwBDRaX=@WzfSfe ztCXrQ9lo8RT2>0gshV6Cb(#ZOE09y+rkOau#pJNpNoW7p9;rD4N=*NPmR#XUPc14N zd^tQWGU<7UirPAJH(sV$ttk%VqJq!Z9p5+3Qys^)0#u23cWT;@+9)2U-3ngwy?5_1 zaFeZ7K|?jgQq_coR+zznjC!8rqK#(;^4+syPE_-7i!cI>=E^*UjCb5n=v4(^E}X-W z%VhD(w49@^?-cw^|T<2>i%YCyi&LgJm22CGEV=$K~S8t~H)=?oCgY>^X|_}`o&E03ipE-7rh}wRz~4^3cC|Tu zu~DW^^fcR4i;E(lAJd6d>;epws9I#jvIsGViSinF#HwUHoLmpLxZ&?bZ+zD}IOX%H zGMk%)@4%rxCcpZauvcU71+mAS{^vOA!~YzT!~M^F#7->9KE@6k49%;*Cdh?SlwH+TWa^>kYwWet})R5ZGM2Fewf;d-Ei6i3~wJwa$Nk-@RGqxD%31EA` zkB(yBu+#T$V?(7FB}4a6#az$iGeQ|zn|#MG&v^+HNBxU=eHp01fTLncS>c{x`Fq`< z#LqVG)w-ZQxjAfICR1yIGE(cp)f3z5wMo=@8Js7XMFYsOQM(X>C{D?;h;6@@f z0cL9j=gA$bzzSx?W+EzB0oo9`6HU>TQ#O%o@>5O?sPT$1X~d(~NuFb-dDb)T8hpq_ zmV(nKTB>OiCs{P>75RLDs%z2b2n&;w%tn;K#lic4drwaeUqkPlp>zAEX+%Fr50`jY zN+R_wT&43UMp7@eV@1<)^TQo`xJ=)xs|_7gD-FFu1cm2qlf^0L&fNuu$s)T--(9G4 zHUO?bwLMAIZjq`l=`LNq`J*4#Gi4#`G$}>GEMr9NA@p?tiRNmPc}$r~kF(8WJL4`z zxVqD(^0>Okdtx;Vmcp01lp?^IZ)z?(yu^G>ZG~`n4+?oyTxA%w;)owZMwCG&TxS^R z;D+I4r>Z8$0hX~s-#FY&{;NrfwE~&Eu9|3>Kj$&%KYH|eExAV5cOMJwiHyqo(a`~9 z03Vn(fgyTy;P!x>XOm^H@`#idRL##j*L)tA(xd&WwY2M5flG~da;sMEhj)T#Z-Ei zm84w5mtj&gyOE$dh+K0Dd1_y^3kh#0Dh3Ata9n6NlGR*Rdmth)cGN^+M&JfIFqr_j zXDG&hFl$jx#}_lXGJL)5Rs6@QQ^a%Ne&Olhmd9nZuup?Hz9?>zV&?PtxOAtr`r|cyzRhsAJ#d( zY^LP5KQ-&Z=vcFwe(;#HtxffMy+$@KWoW4Wr_)N;TFkT3xl9-9;9g0FB+qWRKu_q#1K7BHp`GIsoPy-b*q1<>P+SVU5 zg7_tg4dE0dh~O_IFKTLt-PT(|jXKImY^~5n126db2>#tO>@DpPM;d^h8%unBmpI}- zuQ`*fU)3@gK~yck8{CjFrH7_Q^LoOxvWUZz=@W*hT#qU8#9DmZfkO@puuRPjyPX}Y z8wqkZT4Q5GGK+C%Ko4O~t-GIAK*6!EIUtFb66_*}U%$4HVu8jrdkU=kr$FUx4o>YMMnQQADkr2SWA z`d$dvZC~T8Ze0NKkQn7UV~lf$bUrHDB_#BC>%>#pTxb6yUSm50gcV`M;H|!0T|%yw z#x2F^rYLH_0ts?`=&UiZWrMIA1Kmst+I{iVfcRUawp|C=+eUFXD{*2~;$$q%SR<-L ztrVvw*vg^*ePJec6AAD#0hBXPo5Jx6sN;PdC-1s{GeHsoxZ#w%42 z)@1$_?K(zVb->k}`#W}|fNQ{mFt9==N?9`kLR2mV9A?BO_#Id&)msw3bxI(5Ugv!4 z0AjUCjI5>VS`0u5w+98}E{B^IZgt7xc4Tzh*0oz^vl;)5D%TCJk4__Atd7#>z2yN#>g9_x zu2dUlZK5nOq131!t2sSXTW%Vo8+W=;7Q(=ftA2t$qFf*F)d0;Qp_*N35}sgkqiUTA z`sN}L)(I|XZn7Yd{b5)hn|1{& zQ>7Z@`_=-kac7fzU|eMgur)D2+wSUvc6!XnZ!XiakreI;M(a#w5 z4~)17Hm*!2h%4QtdHR`cEtB_&w%N*If>*l@4L`E2YH^!ivkmUlxFE@2Y0z|T9wGB% zBLROalvfZWbC}~^K?KCBPl;Xp3dzOa=K*R=wElwv@t*5 zBD2Q+PANL9?pU}(FzA|5BQEIjg6TCpcSU$X-CV0>QLLk%@mWvEwpE+yRL%7BO$Nk& z>uw4a|M5@SQFAp>G8a(hvNnk;tu8N58?;UTvo1{L&OY`~3z9=Z`q%t^?5S)J1l`#M zIol%2xt8jsyc$ZsBr|t!uQn(N>a{=!eAXLdsy9>s9cnfAhSn{uO$X#1Bm_ztqm-hF zo^JC>6A;u;^D*YLwVKy!h!d_Lz#YX))HPHm-EwA4^qRVB7ste3`$@9|w?mK-_N+f6 zMu?ZW18Ai~9`ddGZLCG2r~K!(8TET`D;&Cdm}Kiq8dHy;2if zY^Z`(a^H}Lpkrs+NY|MsSI$r>Lu9jLVn;KGx*zch7h?(Kcl+X$7F&9+>{>qyQPfV| zIkc4ZqBjo92V^99rU}!GXoWRzNrJ=B3@v64TQ%NaFVGbEBa|!WkiPO+Crr>vhEErs zu^_EXfIXJm#LTZF^VfK=t%hdVqIMG2HdEOMlhL{gEmr4Ac-++S7QG0nfKLmxu9)!b$%BKtRdHae_&h%cUO+DS^lptmm5qO> z*1>OzP4pV@)d{evfFC_NQp5SQj4gBT>D_vBDtq&WL>xABynV9(FeX=XcDJsb$*z6! z_eamw5ePC*K?wRXF?Af=tq#$Z*8rW#p)Z&O48@Q3@74!=-U2C-=nb%sC1)A^&pX`J zv9gfpSt{dQQzU$8|(>mmptM$k&^G< z8=XY`5fG9~4w`)(C{S0qXeN7t9;@3mgI`C!L5HKY%U}gK2Wx|6@A>r%)@XEZbP)AV z&YZCtjm%gb1jg#*%o(cgyo4G^Meb6A#IVf)vlMOXBvIz)CCpxuIaw|}e5(|ros*C3 zd6Ge%k+LWsGimixJaP;?y2GxLviwecBch9caVOfs(V5x-=juHJrwz(G-26q{dq!tR z2Qsn}yCRsVkjUs&6PJf)EV&DE^ep3R6dg4RcEaOrR5)MlsKDt~E=p9p&q9r3jJD1% z3s#DJu78atg?cG-e_VwiI)k5nM!X8~6;}lZ7qW9uc%jJOI~Bkicm%)Ry#iHuagklS z9eBh)-o1EbO(qniHiiEV{&e@E)wEv#!M#)Xm;9qG-Z2A1BkZc?2h}jBJM^zR2aE^qv$dtwZUAlo@PL!5%8(YO}42QD4p* zAaE#Cq>X2rL8_do65yOpuXemY+Hc|(TE%MRB`P`ilV%96oNg0ozs1)L#RW>y( zd_USh8+cA+zKpgRR|)}NcuBM@z+n_DeyE^>dpY_g0c^cY63iFXj!GM}M}=b17!WYd znI((f?|yW8@91Y_gY`D~MP6LxJvw)*4^r0eRnxVHt~1i@0Xgz1*WEG&F8eQW?Zdq3x97@^yRLv zSFnm_*KP~4WQ_`LE*erRgEY#0O{!_spBS*kc}b-0xKBR<_4KLw+%H^7H8ToL^q=WG zR!hVBhp7Mbvmf|nZORGZSm6(KB!O_Tt}RU{xm&~x@%;rT!!Ykr?Cu%M+&g$zN&bF6 zg8#>Sa*g-IvO^w$)#AFMqp5Cg_CU2c}c zW&9rgm&wPBv2^bk^f^cO4lng*UBI~nZ9YAt=qHVHtqqg@9_g<6$VBllf7XORUTQNQ zxjWV%W|vQ`%DM=sd9XH8*xWat0Bo%$8b(@krfgb!#2s?YiPiRx8iOlk!tyugSWVR6 zmHJ(cP_(ILkz0C+m|DI;wb{m&oz+ z9e~vy&Ki(-8k0$YmH5XqkMjdFD=yTr{QHgidms}I(KJw(y#gSTk2ebe zPR#=2aysGD`V+Iu`>J-Js6fCz`s6Eh=usm&cT)ooNBf7Thlf%B=cAK*XD2@!G$(}l z&4QkRaWEN+yb(^=Q15uqk|?5j*^t>0?CR4eukPN{(}T0)voq-F>Alm_mX7K!c=;yK zJ)7(i^>q(b+r-cH*V!J(sd4IUU>_$Rj5Q65?`=Igq=jKRVdqK`0qg zy8&3!O_CJW^v7wW@)}0=jR5gr-XCbhhXF<+8L|OlWRglp(a)okBglX}fxkd_X?%LP zTNdOK3;r=E6EQlN_=tfQ$ZHh27k(C_&2zkMnj`F=>X?2VLif0^9vc3wSe~f=)$1oP zKmT|~ZDaOBKDw(p#Hx^VdF>2@0=UlM@)!(?b7a z8GoJxh?t%j#FLkG@S+QoMn0EIMO~#AQ~8bLE+``Sz{W(3m2J0%|m3; ztr7|JU2H6NYTfAAX`RS3c=3U949rbCjM=GfR6`2FFKzlktu`xmMZ?e!gXdSHJg(;LIl3ol-sDj05|197sRO>x-Z^tRK{1~$ME2cvQQL;hCBT{2pW>DRrAm} zXP-Ys$lB?mC}`$4ehzWOcL|8?<9N9OT2nf`N1wqe`I_!}lEPj+?Ly$u7ml z0B*Nhu$QB2l(kxKz(w0EP@JQw1uW%sqvoljnztc)&)0|>P-9$H^_Vu8MMK<~g>*pw z(>I?C%tQM02o^Wps#iLq_MR3w?CzSjnskiM0o9HS2;mb%bG>BrZ&qm*-PdhE3FX2r zxauF4_T5iB;X&ea%$Ba&PHvG#{OQfVhf9R|)-RgUP2t)uW?fTasl-#VNv4o-x`l}i?Y|lYTRRQsRfJpaSa-+E zUu*;61-0dG{=~-}6uqXKGSlPYr245cq8NRa+JFKOt(7F2hA4_%)mHsJ(J1Q!r}03@ zA0%qF&rnMZso$bLr4OaCHlsp`gsNoSV!eoVNh93)SjQwn&AbW(JA(5p1cvFHV#pU+ zm~m^lJ0u~xA`Q3CNNg$R554f0{pdsLU;h%WZzffx2&{5$9?MqC)n~6Yi4|SJt%uRO zjoL}a`y&&WNs}wRk$I~CU-ENG+FLo9OaY*i(BiG?Vrw4BO`KnZeV<2<9zBlUz++qZ zP662x>BB-xd30m0Oi3V2XespOKSk05DQEnpUmg$c_nSDgao>`ZYuj2ozh35XRik6! zpKmGgwJa7ucN|qEcw_rfGQW;Ypg1eY^+l0;Ur-A#t9=s10-V6bCs>PhL^=%Bf9 zPpzl-V+o3py_lslR260sSgI?nZ0Q`!QOAcYTBt20X>Opr>(|=6QnS>D+l7~Ztqr=2 z*;oiS2rvJ7UtkRCpb1EYlr1CW-1cj2-~vdafn^QrZf>D_->jx8f2c}91jvSb``@T9xE})_!2EP2BU>EP2e5BNTS|3L|zu) z!XP3mP1&938|KLASb;j5EmNn8jraEtE%`PQusANYUZt^GF(-F>(H%Bnpd6jMLLIR1 z*f3c6sz=OOIqbB(aS8uqKprpVy`$kF{3?Nk1&6#0i;(HY(Ff|r(Qe(id&7@EP{WUR zYxn^+e2u#Ay5058m{y*ApjMuIfZ-kCkAz>ha@8cS$!wZtY)*PCT*=Nh0Yew+ zsxbL7)qcth;E~jn`T8(C7cM~*p90Sj@z~NuX!BE5);x`cQBIQ2+L3Ca?GtrytWt3N zrK;h{S_7n14`=BnnEJs(gsC2UTL^P+=;j*Cu{FFP$milRqJE`zoC|2Mw#ugQDwh5( z;BO};ZTj7SgLNw!a@-pH_G;Gs8NxE8(~CM8oNvX>&|3^4wo-Vy^r5gaX=y?Ej4kBN zRQ5`3XwbY4OywS9a}d2yMw7HuCmC^fs4malRQpyYv6BU)9z0Kwpb!m#>LQ^}lckbD z=gveiZMa8{;XOit6GWP9d8;tVpt)3gI5btdMV?MU{&HGmfEyvncf1kP1Hcc6OE(%U z_^3vCDC26LgywTH+e~%t2b}fO^+tq=B&oVPZgnuH?t@$(t!HIJpY;n}*H?LpcvfIg z{prmkL(0o%zJ|%@M$y!;e)>3i6qnN^Q-#83sg{Gn;q%=R*AY{unGn1k3FA*0=@_p~ z^^RqL->lIQU0C2?v!Ygex8Zni%Aa}Mm1e7)s)Z|Qk!!_LG#5B(C5?#z#J-pBCV)0 zM(2BKhdBo*(=Qw@)7|H@+roU2HD*1+fY^0T_p_-aUUQ=RAW@vEH+-LV;il5%SQOd= z$A#>18GCdT*-Qd7ifmgrt53t``v?vi>hjx#+ESz6CUvm4k3V}xil+bA#~t}BMQ{re znTGpkl(~T@(Z}&+3~=g-&88ixEJaASt|K)Xb)~fIPG>0)CHCNBSu5#q(6^bmLz|vD z@W3Sy{S_gEGsu)UJ&yXtx&d19su{2G0eLC21TxN}cZ7^MI%-6dyt*TNWJey#mg;^q z>d6+|M}U6PQagaRG0x*z%u5oeneFf2f@xB_oEx|$59wfn-{YUINkZVFTT`%fjV&Z; zk7r5r2JIwu)`Ik-&W9sim9X*5qU`Rs@p=LBGrH+>^@Yy%n22)_)*I4LiGqy~hnM#q zsBT`@2zebmXwd$07(tKr;aFoxKwai4p>___jyJvF&WNc4BJJHv?7-a_4FbvCq87p- zXDFa%5apKWC~Q!!T0VWUC(|3^>GzwIM_w)LCX17Z$0yg}cE>Zxjfb0wUPU3w5YHho zicWqy-#K&?kZMUy~_sXVaoJ-?P*C=`j0)3|#BaRd>8b7>L z5*G%q1@EwA=X-p5XZ~vxVbJ{Nkc7-7^$ZG8ccL3Bx-8F;MtVc1;oHk2Q9A#O(I^3> z22NAS=cPFW&J1?N`O+da+sU=oLCPxGl-@z6lsGMR({O zHp~tvGmzwM91=z%QULm|7Ku^wa$8U)LtVY@S_wJ5{3ESr5R7IQ4P)F13#Zp$fEdzQ zMqieA1yYOTvF%{3_Gbe!#GaTjW`oQ0(L?iYa#)ALDx$YZwQeKTBx5g(m2?fk0B8gNm>wzye=;Ss zaF5r3F#4G-?A#U))B!%Uoe{`|0(HU^5+({fRut^-TBz7tjmfZud| zueJ9XPg%{>o7Z|3(y^Z{72Nz4{6;63VIDVGQgpcw+$5`kbf-N0;?>*e3-TKg$@HGt zRo4!|2=dUXPdI}!o_knQ$4jh$tb^;#yHuU4-=!DvI#a}`O4{*BgkB%Q4j0aX?4AW5Aob0_P zgCs9B`3#yjrr&q!DmCD)y(HQslLAHa1zSlSH*MAZUc}dNwMc<-^udwtH~^|NI$=FN z?d{NwB#WwescK38P|P*c&x;uPIC^k2YR;st_2=g7H~f>Y?adczy~$R|8nU?oZSFc* zR8u}tn|WF-X!yT~S8=W`M(`P4#OiFbF5|q)fJ(a63|7l5ysmFI2m6x)_-`_U|4t{W zAC%aTBTg1FTT?6jUF=XaXTEh+e_6$DYsleUTSS)KM#iJWyExDdc5!q1Lx} z30^K5kvTZ;j9ZER6#()$Lm+(3sG-5Jp&{#e#XqOf@Sa*|c_we@zsTUGGO!6~h)W;(p4Cv>F; zrvoBI0lJO2Nr=^aVd6eyXa_%68DCd^D=D646S+V$z@-XoVjPOqlsi{D6YwhFmsV-E zuM#L7stUf%o4=DV|BeSz9zmx}{TR&ASY@rIxA0sAAHQl%ax&J8o^3W-T{HX-f9^!SiOw9B!<}q;a@ikSxHWw-JqNqGbA19(AJgpP5a=gfYaST-W!xPspO!GgGv*En92yv!@M!t zk>pE(ltOfxY7*tW17fQn+b!OzKAkc}uQS~^2&Ug!3xH6Tsy>LXQ`!jawJ6^TFln5O zyq=?*E$Uy)P39Q?G>ywLwOnfxI^No75vfZqIYSPrXej>;ka z8sBcEok~-IbRyy)d~arI`0{kS)WAZoXzMlVO&c3oXnf)mb?8ulAVZLgWoJyyfRQ4l|NW^Of+cpj)OvI6MTEJ_h7MS4P_)RITg(dp?a z8Qk#K@bpYmH{{xGhvJ^S_~gr86{VV8(lh8W2dJ)>s~c=TJ9TA3A9>7tlQ^zk94bG8 z*8o>QsK0wof%tzEXO%-M`DP*P{4$=Ug&~5x_J{;4{nl+8_)A0s96m%Qn!M0NlW-T5 z?a4TKQ<=VSsM=IfoUd`W)398Y8{n+B33N0BLRR}emiX|wE~*;%fQ9#}jR1aG_E={i zwzRraOF*gJT~gGn4d!Zegz!ApmC_W&ayX4@{T%4CW?#_RT3-?Fv)Ut zJV}tXc2xADZ#U!p(IM*C&*@l#Y`t)dErAa0=70Xl)?mC^Wtmz_&9ZY?UC)!)(Sj>C ztEB1;wp%AL0ApvAMac<1vt(W-+N*?&4ipY9IVe{LROQ-jrVgtx2#j=xP;ZkfMpx2D z#=dzLoo6R0e}Lz}LN3!mpwRyYTa; z8h35WW;n26D0ulT;b#5*Jz+b1syh`Lf7=>*{?JgN8wwQRS=nSL7o~Qu>-9o=gAm9l zz{+Y4l-7g5t?X6Iu6Og3k3+bGFb+Yij(aF_$Zm7-$ud zj9Mg7P;PyV6egd>RwJGTA!YIhh5C7`w+)$rS^98Qrdc#T+lxl0CwgaR@!3vehWBC! zOV^ICl^9Y#(2#vr5U0nZw34fF1D z0=n+Qc%9-tcN2X~D?WVySH+Ocmd{_mbW@;f=_v+VEHgwb>BEe36A%;v;N5CaL-Ly< z%!y>{rm-y0s{mA!GQkQb2*P{RJDep;7LTc+*w8P2o`A5sO&hv``lz{|K91htKL@y) z^r+10x>_e}#uyt>?Tlas0u7AZ)H!EnV-;s~oqL)Hp=TadFUOE(auSrRk>n-x^ZI6G z601SchU#Ww4y1S&paEuufu)$AwSz?)3mdSidd)aRHPB?ayjEXxc9BH;hlWtX*$d1B zwJ8o-_*LyfDYBG%+fl<7VA^_~B(?URCt9R8u&4NhHccTIBD3wQ&8?O~oEKOHni6Z_ zY*OFIhQ1LKCETuf+Lk6VB)-Ie%xNc52S?1*WUYi%O&zhB?V6?`LDTL+sXIuUb}IB2 z7UD`z5+jq#t)u$31b+)0KKj3@4>-9p%HdKcZB+J)qB}e-Ts-X5AS~@=qP1<1~pu?yXEu8kE6FmsSFaWdBrl?A`LmAV9cI(gvCWH7HP5U zD#RU$PO{aYmiHq#*Bxz8S>L5rlqXk|qXwD0hXv9k5*SsUT&JMPW?tIF0%#~4L4~Y& zP%cwr!nC7XJ7)EnQToL1n-BoRUIs163vjm7j^c*5hqrjx(N-&vqwp3{DqoK5#$HrY zpx16I%|Ol57yAXrHK8CM4I`@|?+leunEwMCtebyd6QBpE$YUp6!b!(?iH21XJ%_L^ z&{hxyT*s`8+oWl3%aBm(7&NJefLWvz#pj;MVMa&?Cj*@t@YIE4 z70A|TP1P{L8)vL*77c?d9jW%w+1Z&+()ZFk#VsSu**rUL1diYnoMMLf&Mi5AI!BPR z`fQ?uOysciZrDLi4=kd0g^f{oJ#H1O`iF1=1M7Z}TT5&;{C$v9;Rk-8effH-+tu2h?(0EH$#DW05#00y%4KYDfQ4a z?{BM;rhW8w192zqUh~1wk7|cTeovrkGaWgNY}Vx&9o%oe{>knMqB>07P7FOv?`UkJJV?QRB9${$L00XslWiUlw_$?84Z#?>M?B zmaEkt@W34&A3_{LJyl(#7<4(#X10+hk!tlUArZmj^FQF1Jl>Bs7Z>=BZ~hXYX4VEQ z^2(3;fP4B2%AtJ&9+`A)!)@Crx`>#{q{T5D0GWv zswb@c3Ti4gRd%f-fHT=8>PH4?Wj3mPZaNHC0^uCNLPWCXu=B!u{Owx!F373>$-fGAjmR%cd#3j+OknHHKdd=;l++i+Ez1BFpu2RliNr_hVN&UR6OX=aBsAdIc zZC6@D%2juEM4>f(L^46~nG*Z@UX9EeT%CK7y#Ukc|M{qs>=BA9MN{>)Ds$?3o1uhv zw@W@?c}998-q6|pWtLvT^7inm+sRMow$FJxp5QZlRz*q zX3t2X+(kQ)H09*_kvSNqwBLLuDd$mEkCaZSA8t zvJp}aGQPV{_{RdFuIvUbJ579ws3%CY-jCFBs@~>0Qj^$lx-W_dasw(pXTf)3)Jp7l zM*yqOG-=BlKMT!V4WDFt9cxiXqhwBEfdpc@%_~w>SJ$c?*^*IRu`)rU3m7=FHNN=$|Z6bfUuxs;)C-;zR_y#MS)9DA21tO8p;fsK7Wh zv$IDk%NgpqZ`A({pFbZyd15{!_^O76R%zhU>Iu3sE!aZ&RhIXnAE`x(WKX|(^Vl$5 zj1PwkNchy%eD>Lc=g%L!em&?07c#IMWZg6SaUT7aMh8{ECi){FgBog1RCNRdx&pS_ zok2j!iZIbn;14TXpH@pv1N@7qHzYg)okA9z)HIqn7jc*vEl+k zVa+M}q*RCMm~0On+F|j$DldwV-a8(B@f!o6lR=P%P^c{!J0Fm%(X0X+&mh$zAA((E z;I0;4OjsGy1d4<4x+!C97LRjPaRZNz_oJ(MoQo4KeUXoh$%S}OigBue%1M=5nm8NI zmq)RA(z2v|)9$B&iQH+#{b(I$7d^{@RAmKL{|pX6*6fo38Z~`JW7-?0nB7i|HqyT< zEB*WGx#hTCfoE|A%+Lq$yK3gK`d>EraP2^7Z8(TRhj@rmAcUQc^XmR8gg9=Ejr`M; z=yE+{ZQA;g(VRZ7!81xJP^dhlWzeB?3uSzi&Os(Kdb!~sGYrscET2{6vk62{k{_?O z=ei1V*{T`6`0*-x1;x`TVU}cZI{Ohj_K<5}(cBFDIjkG<<5c(*>Ua!wP!BiLi;U6l zKT;351~oJP#cl`u5S>v#O)z|z$Gr$n-BP%ZztET2^-?V<5m0985V3=jz#{@W31clB z>c~0DLgD1TKuD@)B-I?od(rDvoaPNNXt7&1h|PqWK0aD6%rSp$lhe(X2f$yM!ECD$ zWcf`97)D_O2>a#-W4DK5a^|(ln4G~2^#U}fW1}{tdKpH^;-$ubm2ui?%567n^<3y4 zc$Ok$P3nZIEh1?L6ztp+FPorJ8b@8#Tk5E?k*$oxReY}r%j)|~NVzqd+_C>))>IAJ znjCqbg2T~aNq~Uf5T3;CJ$6!;GzX4^!9bw6qwwo(!*Qo5O{e2=H~%kdhiX^*3lkFH zgj6;4UL=Y0=LxT#=MO z4H^@~Vuvyt6D8{B7|!g}^$=@C)c+Z>2NaWd8E@;^BRCgaL@(jq)~;b`-Fnts<_GE8 z&F_EYvwstNx78*f4)CBtK@&a!i?GX!ldgpat2J`WG6HFf=);9F$w9UqK1#^$Jg*og zJ=vU}$5|0gQgu=oxDMmMA!-W)xzP)$Gr@-n^Y$3~beQhe1vi0`??k;;B=u1L>t(zL zb&ngh2s9kX*B;p3kDL7V<^c+EgwYVj(*+N4t~9Tv1CP$trbnwoHPA8FeEG{l*=v5} z6gP%M&8iHxTYglQmgIAxJFRx&&3TM5p_1*4{5+j|BtZ0xEJXkn0^G3DXmAuT&7^4L!p!K$+nP$F zCR2$9NDvzbl@CK$EnKM+uDi*6(hRx_7 z52P3N*r|`*fB_V;FM&ip2J&=Cry23Y>9vu%P9Hduq~g`?Wr~MFMHVZ9Bf<+WTZ~zc z#|C3Bgkucw$ZQ*B2LNdZoB%^JIywWNxcV9XaXebb?_e1Fqa$a?M@Li!?-oH8Q#Zuo z3V`uIsDtQ4HGWf}=oci3va^vnhiirAenz4C00`U4_E9Sf>W&Q2rWtL8LUt+yN+g*8 zHl`?LLaSXXj3uWJ&~2qlV}QWUNJb8O(H_7Y4E>i)@@X1~kmFUtLJyg?;q2(hBuie` z^>t`FY>O|~AVD(+Q5GG%Z^T|h$!Zq-k)QbL=ru`nfl7Vx>9elLR57KnL=%7$LM7CC zlXVHpYMHmBd77LcNC`4B66;I!sJeb$$kWY%QAE8%tY1gsw6~R;K<8Ds_Ji6G!eUg@ ziTVo15BB$?)iRpS*1Kr6!-z3nx^z`l8kE|FOYE)IQ`w82X)@Q!P0OIH8s70}YxN>l z+qT#&8XpYDh>N}XAJ8g}Q&1UCs&?lW-L&;&oHBdr=MUdJ)DIb>mMJrp5l2o;Wb|=N#30yJQ)+@JUb=}6*YK?7xh_~M*c<~L*Peew z`h*TX`p9M23r&K4TA?wa`G_*g)igzCVB$GvtSJI!@T7H(kl4~Ya+%NWkaDgMhx$f+ z^1341gxiMyhQ(pES!>#xE45Gpk;PkvCnVo*(n~nLu8H-Dp6M@EgC@_y=y)7mTt)ry z=v3Xs z_m1>$=47{m7ec7f=kfb=xmnT=OmT%_e;x_;CIg@s7xg|=JAxd8z$O|oy z826LvG)MbtIL0T(W?V)`N9vE!$q4(03+KP}8!Z_gZYDHsuRAAtvbdEK?=9nV@A`CB#gADQ98uMi`V86Z@SfBIapYT!DhvFgiVI zkr8|2Qavoqp%G|&13dVis+K$l{)&$dP|9~v|5xtTPOT4sy*F8YIof<=PNmy(cI)<>b#9Moif)_Lu@~a? z`?qTeJh|J*#Osw>E~+)H3}DdNMvQLVh*9T8fYq^2V`1tY-@4xMojZ@#(V1<_!L8eJ zutQr+b%(dE?r^uRn{f|LzoT0>)J=RUgAdGm$-a6!Y>;CTbIjeMc!#y4f1n+s(F z%{3<2yr5Sh1+d3ShLCU_Tl3z%YkKON`3yC*>N@mG*Q3#oCi@&Z(%9fE1hm&`c*pzA z!Z&TFxIkk`KOv|H%~?A__Ob2YWfON)$D;mOa|>I~VogolQAN77g(YZEMg39BD0VoU z{c^{HnaSmv0eSNU=E$giK>m6(Iz1lOX&@f64yu2=;%|p1vp2_KO&Bup%y_h5!y6q7 z0_-Cu161e(Oq{6|Kw5~@c?)T7_+-<{k9lG;8et`zejo>s>yXg^0(ig zsx@~a({wDyeVpk7;%ZUGRbult3I_EeczT)4V)$&0-*O!rce*&QGar{ZbT%~k1GaLO zoF|-A!LfRrjC<(ykA@yOdRwBBPIncC1l&^U%vaAu7zUi5ErgOLA3h{rvkMnwyUo$S z2-%nd3!!fF%!eX~tXFYW7R=nKn)x7p87%f$y+VRt+kbZy>`0C#4d#YPm!dk8TbQ4yzouCoy zy8n%m#953k$UO0hxTtweW=jC1teN?M*y#1Ne^%u4>v%h_NR=*E8OFSVn?|q-2(FmN zqQ{FAHN9-co_@{WZjR3n4!+$SB`5gb{jnk0)rwv_RVtoquXS>KtZO|<#s@sN()>C# zQPfxXuc$24Ni6-r2|wzhDLYJt=r~ak$tBAR5`8v-WABl~ zCfVn3?jpXph2d_GnehicKw z)qk%OZmTi`Oj9#V)>c2XwzpxfSKn`dvBTxY$1L5kjzz9;7qfUc9Tm~Pv+dV9Se~L; z0t`FXbi^>l@UMFiIG-{TR*jF2oa7kN^PAr4Ru4V__*}SnUv&BA4DB_rVd`nTwG5it zMt%{mnFY3%S<{%Q>reu42~Eo)L>ZJFn5sI^uu(VC<8|&}&R#T8KT0owd41m!lJ{g1 zZ!=A%(PQEMNtiIn5;YlR$QvTZ!DRW@(yTkFI7mTgX>HN0tlM19sH$d_VAmrquHL5V zu8q3+i`^jQ-CO{{D3E_P@rgPONr-f4IO#Dx&DpDVEw6BntZM2zKT#}WRb{`?TJgct z0kSF&Y8g}uWOMcbSI@U?Gv*-hr?%gUsCVlb)|Qw^l+6!CNv0C2$hIE1052QnL#C^$OfsV9=NA6h6r?M~?HosY#a>4ZN6wsED7D z`{e6Y3@?4CcP!R~HHQW&x&qy&l2EBRffV(Hcr}Z!r#;C(MEAwD%mr?Y<|5LKF?Df= zx#i_as?> zc%hAyM5ZpuOk_qtziVbCLauAzk@%l*4Vjf{5et7YF_A~m9bsk_%gv2=S)c?9r$Uyv zcv~F5y1P*2ZI(5CzsV-e3~x0yU>cXqT(YX_%;@kdF0xr7bm6(t0z)0pF+?oKeboXu zX3iY!(JVdJWY|VoLM=-(O3ujZTeW_=6AE=-}RXKkA>Iy7>MBJzyuN&VZ?V zO}Xmt`hcCC$^mn-%Z(qkO%2sUR@P9bWpOpDf84^&N={mDc6QM?+@Agwq&FK!?>2c7 zjn2kMZ+7$G$M}Y9WF#)LwaEl){Hkgc-JRx5uWjP=)F^6vG8BkId;t4JTenz zS?yG3n46t*?AW>d=l{R|`$jO6aE2*D5WF(LfY*r{HZ-?Jkyq03sTqa4&8A*mV`w;h z&h8I0sd{$K`MnWLr;}sbIe3LS=UjHqq2DGh>}~csxU3bE_<( zxuZR!)>QJdqFRBmI367x8Rj@lD2sTXe5FjT^c@u;;r7D&y!ZH3t7#Hp z+lv=3E~L!B@xkHIS!}ZeDJSpuzzEsoQ|^oX2%fQ**gZYfi`ss40l%%&WGbaX*%1dl z9M_8Y-_S8JEwQictE`+?h@(7sO}Xnuxv)+kPp6)}pn`nzxxkT2!B%~z>>yWcp5IE3 ziYIDaHJ?qtHZQMYh_tXrVwdV5l5wh4O$ob8SD<-dpMm=C_8NEXUK>;%niXys8hFWqil)f9$z*d5G z*0E@R&0NZRkM&`Xi5Z5!{;_ek5_S*liQ{?+mxp}j&sOUAxlu1=4=cgrDLoP6p=Gj4 zYke-2q^tIHxh`rI?}58jDW#M7oMhBN9{QLVeXW!D$2FeLt2Bb;mj9(%Z{ic#LJDbA)%s!5`jzB_qBNB*u9a8DukSp)_>8ziC~Z^9oLbK zjs8PPI-)>0u|Q9ybBpITy|&P=x(^#FOvE@>-PTE;t6CwBtlID3j6=Hm2v6o<%qE!A z^i03)Qz*d)62YGEP>GXC{gthDn%A zPziaxB*(MKYb94v5(|@_x(Ur4u-`V0JrY+i?&@Tn5bBy(cy5wQrsp?w-!W`eg1QkE zIw@+bt{dYGYiY#M`sos4nJS3CNd=db@an^fo0UTGcfH@MIy-5V%jpsxnFc`)=10`h zMb3bxQ-fR*l;`HWs3pLjOl&cP*QB^dv8k+OQ+qCG?Qr4Hi1l%)G1TZpSif1_xQDhQ zg$cfU70rq)BcUY{yru`ynmhTdm-`v{QX8YUMYM7Tt3`zbXLFqROM2O_RpPNnz+hBv zi)_PR!GDt32_6l4>^DZwFETM0OJHJ-*@%E~C;OQ2T z-O;bQYO`{>5FZV{rY=;qu+p3qN(Wi+IPpcC!+dLNSdN}R8YY`MqfVIQE=8{%(YJrD zg=wegwiD2&&yODLpZ>Px#*Cw*2lq~Y+uUiKyhbNOfm~Hc$K;8^%z4w8IdZ~0di*MS z5t{(FCBGnQzrIrmra8I$g@Ite8AN)@zoU`huTybq{H2R6GQuv0ujT*d!qsVaQe0=9 zdotd@;8oVUwr^}*%jiOaJ#2#ip?}AD4#(VSvQ3)We>;5mU~+Rng>arTEr`NPY%=Dj zMTY%BViL9NN)K$~+=tgWriA6e`kTNcvK1-3#Vnz;X_zH2$MA&JT6p7L{B4S9h_b!b zLrq%ZTuZ&d+;D={wU>`S{5Jy)so4envXMB768W>oiFTk#OwK*It<(-;iH#nhSk>rJ^X9M-qh zn_|#J3Ye*Cd4%0yj>FpPSjPp_pgvnH`d8xp;9!?dFC87F^D%T5uLs7@XBm~*O!c^w zO~^0Qr~wT?uxnQ<$IF^w|Dm!7o$jfq6}A__ugemQUp(1RR8aG7v@shy?iSiM%(6pN zLCYe8V|A7+@H~Kp(4rPyq(OAKj)vw$d$C?WRaXoj?boT1vhQauM z)5*t(nC@ak70t13-7vXVH%4R~%4*PbfiCuFk88ps)9f@l8b+V%vbTa$$Y-0h)91;q zRQI-!COV@cMtMTZgsA@X-U(f|RAy&0#cg2!&_JfYTmbJh@wf|A2&tK;bQkJ^pyXyN z^^XCk5;oPy+ceXck^IglDb#7p77$gYa5O^UD^DrO50V9s=bYn>;zs72-X3tPi{esI zl4*l5RpU4`CD1Hc{0L zPdIy~1U!;GRgRDb$pfX8l^6=FXADsZa>S{pN~>v6Wvmf3mu0 z`C=e^o9yvymhRByF`%mfTQr=XHSw=^^k$n{DS8D3x;s$NHmDr)e&3*XajT*qu97!> zw8G2`+#~1JK1(86d3#N@&Ps_wf>Bi~But96PbODig4!0-i`v82%s5nFqfYsqxx7^#iZ1%-dO5aHgi zyU?}f$y5F|g+3-SO4;-dbmi^;!QSa*TqPc}tAd)tG8{)=Bgi5S669;@N-Uv=TA#}y zYoz)_!OSP?L)#glm!+2pR=G-{gK18aFOo+NJqUlI<;>)ld?ngbi+0NLVs`&1S0;Rp zWge&!@kR|{#}V(=#{s-LwiJ|zLB-IAI3sFGLi17hKCs^{;?~-!BCk3|O*3?2<3|uR zr1@2mU0D!VO9cTl7z(3);M^QS*HwJb)uN@5^HEw#rj0h9UByJbW)8}%D9_()4@FX& z09=LnsiMiImey&*ZLZFF$u+H`m{Mh1-`YC7om+^bu9R|QdPF(h@PS&%5MWWM{%}rf zarAFk^4FL5 zcwK8z0hzwZmyPR1n+>}0y@c2akJGaPljJRHi1rMMXZr#e#MkK3n3%c~r`B5}lmRh1 z&M8OWM!vy;MJfv(NYtLWzQl8>b}C=f-4$jrZ*p<{DxH!qXBC&2Afdk}*mn5&&mu0x zBK+_Z;n%-r=EpN#FpkE5h(=?|#I~K1GqL87L^S}#d@r8cLZeS{>M6|kO%?g)88VIJ z2e7vq2d=5dm#UuQ=d+8ncAdjijVCxTId$uRhj3-j;b@ucPig#YCepOM$D z#x1nG`WW69df7(EyYJWleQ0<`=O?3G=y02Cg5CKZ-6Xk+!tNTHhV+084}w3MJh^p? zTWX*g)A>irlQDk|1e@Ua^kAgPnw!LNbt{~&+)=X76hkK2$pFS>5eF_NVB`!CoMo3RB8Iogd}HaHgT- z@NrVGtkc*Ky}&U2VUwo{0}-`*6YsN>87sA*DaN=lX8~2bz@mdQ^b)cSj>Y>aBdP! zXzC&OjatmzM!`(NXgyM8af@WpvPE#hM!IQi)3l>a=C<8hH4U{Y$*1ufr&+pmZrJD1 zeb^xOW+`{lmj!{dOiq#;K5)8hMY;=anHKpFv$*Tt=eU0z3_}bzYGn|$86ZS7K9aVk z=>%2v_z2D*u(NUHaH1tObN9tG+sL}EhD~?hR3+AWoji$gOM~8&KIN)0DA5vjMkTD; z)WZgVfBV-zkq0uD^y>K*(yPq^jv>+6peIKeHkvXGXacno6IV-CC3s!HGG7Sb@OmD3f>5 z9%2knhYg~mz&mxY%Wl@%&)d!}3!m_R{-ix|UV5J6_Fb|y7`ol8X%@Ei%qVRfxu$d( zIc~FD+eVmvTZ|jG6xXJ)rED{5yrjvGWXs5W#StA;TUEwmgnVVmO^c9RI8o66@f=oY zzI;c(sni!mb0S>DwW^|9?EPN!1$)Q>GW6&UjrIly+Tp%VF9nTs$%G_tHmfxWl`mZ| zz_xdD)&M;5Qy3mGbE$eiM(a%_QT;EXDOiHPgv;$zYqE&F>1ybdljfF zfFzbPxCh@e0mU;lJu`QB zdQnzNkR=0In_;6qt(QaJhQo`t91?%#X?3iSSbg$&!n|qW#2z>4gW{Ppl@+zcwHQv$ zX;!H+baJ*dY|adK##2~A)@fc0yQYnwxYL=l6Vj=m0y#dwR2yawlUct7W>hTFO@YKq zWpb0d{14m7AJ%0tP0*NYVSf;89|J#*fBT0G2jCVlk>Hxyk~7+4iF_!yX7>g8Mt=vN zpe)(G&<(yHSe>iEvq6i}RlfzV8@lo=8X?x~cytFxUSRQX?4ySP`N%GAMPt;9?-t-x zR!n6>wV2L@f@+JEe7E)SPeCXQmO5PkmHylI@Wd57S2IICL&5C6V|MLUb z%cV~;O|ghJ-%wHlZeFq_r%3%!8Uyq4Z`@EiYlfUKLX0Y+`$ncONi+lE+dV8fVVD=nuRIK$JDytS;h ztwXeHE4|JMu5h(F^d26b_ZTNGRhgU^itVcrYbr@*Y#XElTRpNK>6amuc~yfRP7H{H z2e$+Csrd0u#p_Ii{^gT!(6_Nw6yb?`FB;79A5e4sNji&Oz)|4$H*uEEZ+-#?gXn%l z`s{f5V!h75cARKkFf579)83AH^$LRd5=+^Z!EpQU(*Z=Lh6@Y|VntvMDdN)$SRS6o z(|F@=oA5#VO&luFU5Z2HXdT(tQpQz_%2Hx1aZk5sxz00+tGi0Bj(F@-k=vz(WCO)6 zvSK2&VXeX{A1L@CD$vi`nPHx-Iv=Y0q~&Fm4=}d{lNi*rblzkb?4R2|N9!Vi1qkNr zplrqA!=HGPyPM{qSqez8hXic&VTrJGB%AY;QOiu6YM@DLT7Z$5Y?E^0cY$EjjXD;- zRa(ntkwZ-elRnX8j2s6>=sRk@baWo?a2_XyeSj* z#s*t=#6uQ=xgWc6^Kw%fvNEdtSdVKg<|Eg>OyUeinK^Tm6I@#~JXm8CXUUwX>5E*P z+3;rnjHaILWQ!S~1nul9tx%G*;AsM*oAelNfAeXRNHf5Fxs^w=hvm5o$EKqd96B{m zk*uniTPAVotJ0$B++dZzC?NO+5qBLRI*wK)%`T!jIz8XUE-an*B8N_(g{rf;+dUL+ zO+mM*NI1=zXThUFv2+sIXM#rqMGS-fLKTK&G&hMc$Ku^Tk51@K(s%0wP>Djf#N-J)Um|W?B{ys? zO-@vvt0c$YXD%52c-E&bDo63)xLg#5)#;9L^;(;_bLk9l10d$Zs_oq5msl%zP;K%{ zM2!4r+LwjQ88E6$k^EYO`#z2d<{lk517J5ed>l=V@W0a${d=Or6}DIhn&Ybz(ar#-8BwB9 z$6!9y9L?*JvPy7_7bSd5p^rdEL@=gSa1e{$CAE%(YPt{-V!&>p#%9b0vVzZ--SDZo zji5uDxpr-El5yxvMOmh9qUbDJV^AT<>KN8V%6wFfTbbhrrKBj3PGcy#i78EbS+Jj< zKZpN3c_KJw&rT2*fwI9S3BXhWBMsK9O6~@2sm2aL3AzbY@{BjZ1~P%!j(_CXh?g*W zlLUU8XYiqB`g5SeAaL>z5u+fDVTyYT?rP?9Qv?>)a?YX^z0&G<;*`ocv~+qurpm@ zR^Ggj%Ez)Os~}{BerVxm@%w@skBRe`b`@y6fencE517eO=rA@;A->7TZR!>$y8SO3 zAioA1^bebOhP;-zo#oMUFsL>d8Qii%SeoMtvozZkS)YDw*^TT=<(hNyEOi8qM6i5p z&GO(#uqairh38F^3|(>P7EH*2qo08xMZ$Ue(UivjFpB3`silq(FQ4)XuJA|MB$*Ya zJYV5Sr(o!;L-%fzR$hQfxq%;G(63?`_GMbFk_Gx_2199^*j6+I!JKI{Ef{xHTP6f0!B+Mvv{bI z)k;P7L?Ry5BjR54b4Co|$}oYI>n5R`|GeN-f61%tcy057-NlR2f-#e~ij|S;(7RXs zR{7?(w6)r-Idh1gpko9{D53cEmUhz4DyBp<;6et9Boh(eFdE=25-)aaP2=G^_t_04 z`Vwl@bX*0EMK6>Q)6SChvdC|CX`y*YcR}?rn@D;|u!(Sb$c~-aczE{@+bCk7;MbGr zuC4N){g~ZHXzsfnUK3zhk$PIGWfzVdQ?&G1YB=ns8>z{N%#SE+3HaU>#*J$)_;kq9ocEdZf7w%C9{a~UzgD`MY13|Kd@i|(;&Sm=&V4D zGaIy_V{%qCQtb$k5Pf9}VTyg_#gXT9*WIH#@r%bN1IulrYkI7hPf}J07@a>j3rZAs z$`czDYZpxhDJ<+=u9RT#uvKYUm3CKc<;83r?M?Vg!P3YX#S~(Bq8Zs=D&e2KFQ2>| z_N!JGXk`LSWq9fV<2}W+HC^A6m+~^X|9u)%yoXqHc@4FF+tLDA^X*^$tRs`5h0El{ z(`R?fU@&r?p+w=I#yQ1^#`{v<=uW9zfkn|p7B6I?1GxclOKOta8Xu3@=@f}3hR+S_ zRaZVlC!>kj4Gpb{y=IrK3>65`yQwlrNrg*?mfS6` ztRq2$wk3K%EtEuD-=$36o@LjblI?FtsPBA`dC7I;sU{D|U*RyU(vTrAPDVSlRF)C0 zng(k#`>?4GJ-pCzjTy?%yeoaZQ=MHt*ds#|VRr+27$fVkXM~2 zrc;Ld(G{|Pu8r6S+`b{8jk>fS{q~TvMH2l=-m7eKT2m8J2EYAJ-HaE34{xw~t#;Bm z96w;4LomX|L6&Ga3XSxno01V?{lxO3BD-0wVQ>C{FuSSor%5RH&uL*XF$`x!3^)X@ zc5ypl*Vy8H3gO2)9mbHkKlbqc#03p|%OpxxDIR~cVv$u$-AElt0P}FjB zy~%Tv=i?{#JeNGv?t1k#y`pAAIglxQbji&Sw#WdNvx(i!Vt^Dmr^&WkX^SAy9} zKZyp#bxt*j17;rSi>C57$s63LvUPH~%r=<81O|5%U$5p#MqlXmZ!qVDOhlNK@w^UZ zBD{EXp?@jRhFy2Da_5~5;bR4uM?Dxxz_*#OEt zL&tqFvQ}|Ue*b7v%x?Uzq~AexB*)Qlm1V6tZfwDxJS4s5^93x^>>+toOw$6vh{cMM zahO5fZLOg{(yCHfqP&#m*rK^SkT-aQV3X0I#`PU4UvRjq)t_i7-Ng-Q)S+53 z%^L@>fn53NV8s%bMOr1y@xK4T6VJ2g^o-6}Iwn1-Hn5|{m|7dN>_#JB#Qtog$ZQj% zM`e*ui^`$jFop)RsNVjc-2uvuvm&(*|j$VN+-xQ*_>pG*HaWm_jI#vbO~8}YHEIW@72BN z8@%%|@rdcgW8dX(C9el9Cq$JbR7{Typ*{Hyl+ms2YWH;EzX2sof70Y+kV~P;&gcj1 zbUpilBo9~Gso|1uQB03Dk2W!GQ;O=5Q`DeajiWW|uZvYeqlB#CijNR9Gf$yXDH!76 zZ9Vj`BtO<;npM}tfpS#U10K%!KM(4q4!b(}ISuQxN0LrB@?lJ}+t=@xGLJWu?~^$n zE;^R*;tvlh?#|f#2mzcB%D5TD2_lVq$8vVV95(_w)>YGrJ8oqHQ(PUReaqMJV;Wa# z?e$F~UIbl3x`i~{xOp~|)^reU)&tMoZ40J1+tOyvl#Fkz1igvo$-Id-o9reUpYOMO zNrDanCWEsb@=rV^VNR%N+}|0T1~v9DWe;F zalXo3AP{e_$vh-3wu}ErDCS)#wLDQ2hQ53nC)(%1_TSXOcc9rt`;;h0f&k{98lrD@ zOuL(?w1L!Vq?V_VI<+6XK1L>hI#rqH$LPbwa(#)&#=&7xWb+X7f@^?j^ErSx#_IAS zKadFoRaZ8D!@a{z*iLt1h=3ZW;Ig<(TR^OJV5IJ_H{eK{QEb)VURu=xQBT-$q_;6Fcn}(LglLgpW`!gF z?7c|>Cd>@_Q05X22WCJkFD^Q&uJPysYvNk-YhdjIRe-!@#J8wBbYEH*s-q>QNUo(7 zyyph3Pgu2+UCf_Hs=}d_zUk~S{JwOK!#l})!dWT0y)6Co2Rs|>n8&x3 z{;t6zDeO;-(4FkdOg>C0Bh)>oi3kR9H^ncMInwfm(mlGQ1(W3qb-EPk=t>flK+)!? zb_Mfcnt2L{olIATnPEPDpy3t#v~ZOPkGA247*sZMkzQFhX7{?!Pv?iaZssUcj2x(8 zuiwqYgSAyKODi%qXqUYzvJGQwrke@!e>g1CQ+BNJPnt`5xOwQ1SH@UDq@>bXMui$XEw3a`NVrbiFYzU37u2Giq1YW zEp?wk#Yd;KX#U&U3>Lw~Mkd)3`ap(Lx~SvzpjNm{N>W07a40P7(Xw1>MMg1>7Fl)` z!EuBkY*e0=8U{qm2#W$@RLtoT+Z{~)6R#BxNSg9rCGdHpudv>iC3h{VKE2||oYexv zm{?14sq;4MfyFg!n)K4J1xux_t67XWR~LVvSEy{lfnTzLy`c3hspB-Oe9+mqWL+Ob zFL4dGrzXP8aNK+EHTEo?=h5g9DyJrHu3{1*dJe+?%hP`l%@W>fiH5C%Q9TF;S@<_S z2KB?dJks?)Nv_f?`Zm6)NEGAtQy!zwYCE*b zF>R&HNA;m52w4|Mm|q^c@OxR4<%b{V2a)&On7^ZlfvbzktuY>1&$V@=W-J-zmn3Fzr zVtikH_3-)ghp%4UTdhdg_2@_ZDW^$?4w|L`{U(>(n7u5i3hWqkhro7?>d$5RRv9Tdeqc;qf zHle4?CYHM)BgR`LQ!=WY`^;*wjquazr-BKN$EtZ+*XcUWW~oV5tw^3ev&qGxb~9LM zKeD$f9x-qcl;wHvb%?YJ)T-Kv3Y8l@dJnMp$1flO{s+&gTi zlCv5J-oZ>R6$gsESYW~n46PpELo>rLQ3`E`GO;XzGVE`NGQ&$GTaAkIFp7-da)&J`k6|R;bvF8 zv6;}mz_-9>DQXV5W;eqAlaA&9vE&31nA{w||3uB3f z1tvtnD}754OpTuEntw6_%+P((Qo3uq1CfaeUGqc9gFo-ME*;y^^ylbY`G|4Mi z3=seodFf`vx6({DYwM_3$K~woqEb~2UhHbNLPNAxv=p49m4(#=7%^$6naO$0?q0u? zB(H^QE8I`&I9)5>lkbi5Tx9A_s&^U!Nkm6}0>tfaSzRTJh_9Mr-UaS? z4r9`mGnhGYOa&sBZBVO2tc$NOc${QlpL=Jht}1i_%QOxyf9hvg>(Feyk}pF}ylw1n zve>r1mpBr?^kzuROUW``!Rurq^QN>g6QVOzYI_3+Y4%<9te5xVK+6(d+zIK)+mXJ4 zOU^G8bG22QGk88h9v0g~4HBRWVu3L0Hu`yzUS7tVDofKv+*pdx7gSi5t z&dc)~*q<(o>JrA_OQ^6oI5`~#>H4RNGmYk-V5-6f!gfpuVJDZ`WGFsGTe4D&mIgj$ z7^G=uC@;k(cyqn#CjdA*;j^$T#a?38szDSlT7m>D;Aa( zu1=P93=;x+sjek46&UbvlJxRIH20)+b-ztln-#`UYE3G`z3If1xq-S)X~EcUV_-)xpK=7xa%oSO{FdKF*VMoj3y=%z2M)^UE* zu-mO!t`9A$y~Et=aoIsHvMoZNYF$s8n;)Y;0iFn0ZFqXQk0k2}{>zy4@0-=)Rtn$wzo+lK5GI@0 zC)7@eql?f^0mKX8+pG`a#=56+R`a|d0G!#Dy-ZoJv>j#Q9L=$y8nbI2`%E7Pkr#ot zr`QKVkx9U%6qaAZwXK@6mql%%QkbSjqOPmNUO_SfTh}qlKaKG}BPj&c!*QuYz9ISJ z+kb;BCD_)XlV*!nR=zxn6+r^pq55v=W`{YS;y7S;j~9Y8Z*lMFjJV)%Bx(oK1m+c< zLyVH{_Z+-(1&C4%A;|C=*yY%Tdy8_Yh{%4}q*r(zuGQkrH(}&!F|@`|OHS&d#M^X) zV)O1@hROl3C97@a6*(?-iVHUxh6|XT$y+3^;~)>1WSQrAoFfMvAGU~od~aUguS_5g z&ja$u75--OSl~{+$= z#RkvRdvAt9_m^)#?cX=1CGlI@Ca^@tK=O`@J_Q^G`Zw(#gB_5h@?;}a{q*{LNW$o7 zw70HO0@wc*4ow#{8jSO`x+fmPaUZD|amTr^FnIJ<@LP<|&(FON* z6=+o@`DMYdE0OTf^kLvSh{ZPiQba{$A-`-4CQKMI7%@;pGU0=DpfbbkQ%9#KsF_rh zy0wh!v-Es5`FYS3zOG~Z2rFEoZS!<`1sn?xKf;S+u{tJic6QF}r&UiK8nJ)KLQ*Fk zcx?1>S~I#^YsMd^HRHRr=IG~5_&|2VBVzf)^QA7?Ed-EA!%eVny;wDVf581MQrAP}!pf9?Yz!-!2A zDQ~Pi%{EvNLi!D&MLlYRsjQgAJY5Pw$kV7+wqYh zIeJvClPv3@*!W?NxC3M`$SY#ngtILX01Re{zLw;(LGZMDmlLjyJEcg1iANT!ZIxCP z{{QtlRZRJ4mHy@Jd=4=f;Au8fp2M$-4O^gFrCCcnDa5lGn$E`9UEWlz)8qVXEq$)Y zi}9$NsX?)wDS~MR8KrY|pNK0~G!fxzB^F&nr&7)%($>6 z!N|=*8l9gJx77LBm~(Oms@vE;b~S1lzs9FUm=*UU;{~F_G$tCO430;?YKArB5x&be-HrQiiwQTQK7gy2B#!=- zMKHy|IAwES2J$vu8*VrwNFWLpN3D`hlV%CvLF)B>zx)MG8feL0pkCJn$fSjy85zx< zvOb?3dMc2r(da3s;6G_S)v4vK`oJPSWFW=FIi?F0=18&$ngB`k7^c-FOph=5Si4g~ zhU##K6t|mSb8CV|mmrv3AT4?E14@Xz{pXnJl!BctKH)f*`CtrOA{|>brk<;Zseis; zj}0{F+2(Ds!oFH;-&-{y-Gx;2(vGt2Bz3y^79zC9oi3~5wT<_bbw|3hDIu;ZSTSdc zUazmj5_GJ}emOffIRmpE^+Pk(B4Kzc;@_`X_!VRtSOJdD0={EDtDEAOw zRU*E;)^&fs+s{605;$*V35ZPw|6OUE9aNC6L@^J4d`4xUO8eQERr2Cy{eBsCC z3$R#w+?1nYFvpmyj--89I_MzQZ&{+i3ao>Z;wCf6pk@LnVrVkDZ6!JLkMPwDzV z4P~s*$ODAP!7uPXafUdWC2aLD6YddWnDRIYm=!?@`_Ui3KfjOY5t;peguf~VfFu6d z=5`+)95IZZE7$BnT)oVbvdtoEz;BU?XIa9CRYz>R^HGa;TNDUs-jlv7W_T(3((jRXQDoT1O@*R{>QfQit#X`Vmw+Gz3@IMJWfOvx#M@q9Ei6cf6r8Ri*Pz4`G91_wu1=ZQgMSS7Bb7-3XWTT` zmSaH~9&q?wa*D0yWwF0dBKM|h@EDt1)PfdG{IFUF|OC>umSXSPu0KJnIkH3BdK&c#Ub zndV4YvnAlR$r<1OIGsu+#WfS&bjS*tdjz=nEP9kKqSr{lXX*Tm7bARhX;Ox@*uSR2 z-b`9X!1rhrk;Qwq1CG%r?6>c$6DU+RR;v=L4=?n5h=j5i5J#|)pp|i%zAN%rXu)~> zmyX$`e~rK}xGu^|dm_+>Qqydm@}oZs*;1Re^+aA5WXDy_)IibmF1|n6?TW~$*DCG1N)X(vXW{5s$h(5?7iw1<|ilbwkM2saj&|h+*#JstWoy;;t~|C5_ePui=jyBQ=Ob-ZUbfXkl-< z#`@5>z7ZFxzcVq%fN{piBh2|RO}CmisL|O#R>dPivJrw&lF$UxZ3({CG*c8RG{pXt zvs!&C&Z0P?o#-9%JlR46L`Xy36K1!ab*L@t*9`5pL1b(9y}6Et1< zhlbP)+!trXLa!arka_ynrmB*B%OqF)&P^g8#hzl4%@P(t>*g{^P~;=a;h=Q{YsCF% z0{=XLe-2D)W~m$hnEq{|=bA3wEMO`^h2MY{VpJV?-ise)Q)ZU#a;ufr7D3a+D3_2S zAu*q{+Lnq$84)4llk8xJ^_Yxz$D^%kvmlhDU!MC4_P?5tx2qI0k#RN;dXRj1Gv4CZ z8{?{0Xm^*BN?HX~tH`~v3!L7S%9z`&YD$|qpKR)om(>uu%o4c696DrY%Tq$ugyICV z#w0C)!#5US&+Mi(AW%8q(I7Oai{eu4DNT&O{Ca#leZxR+Z5US}?A}ITa3EO=I40Od zTHwNIb|5eayhnhQprv?|^x21@AW&17dZ48;Nkh<4R%g7OPT5@r-TtFI-Xy5@JiD!o01h$4UK{^DUcJw_hYbfllY@aH+0yXW(bFatk=h5iFy)o=8 zCUd(|SBy`O@c<0B;o4S&xJe}~jpn~+`kJ<6XX7PQJZ11KWlv}|8NBeGyf?QeJ5N@% z+N7br1w~3cWhXlvnEu5jeN+)Gb3A%5o!avU{MqD!96Dy`i!gCbDDyZ#L9Oa#e@8`2 zpCk%#rCX+Oz9eJn%y4Y#4S)m2g6l?YA5OcP`^Dh0UK!pSrV4$f-K@=sY6}Ae67w8AalEy`58=*S-J=}ecwxO#O531xt*91zwMhH4d zy+`??+GG;KxUDhNt%prT#~p5{UtE?n3KQlQCb}upNJ+Tp2;8u(g~F8bN|wJ^^Go$q zuys9?G*t&HiXv!#-5#B(YDzfZusgl^>BFPC3`vER<$v)|4?V!w?J-?QVWfREU^qxWsyN9w!VKi^Nh zQ0>@?w6U852o_+>5b5$?#OPsB_o#X|ruYT&&S_m{Q z1&NwzU!(KW(}UBqp0Zj6m_QRj<`|&9_=az31+|+rwFexj;oITQ_lPa-pqpZ-c*6!;vqJo@S_`JP@KLgGY@geDTZedPD~(Y@>p5 zZu7o}<~@V|du^Ney*+23?FysinZ3dRJm!KPytdbCy~qj14KHoa5Nw!yi!%3!gGr{) zk*DYH(dF*=>8DNDc$c!n`=Q0v*m?c)UK$Y&M*KbG;=+8S2K&9GOivjOCyl@|w<*Kz z0w@}$qXat-uRDt`-BIhl%r%J`& z`J`jfbH@NfU+mEOz9_R<^s1LuVOt0#faY<-GbZwlp}$;r&J!6*EzBA?2otBZ$jA8j z9*<^ddjL$ZO>>?Md1#$CYm!d$nOwmoy};}E;nDG301cFppmSP7kcQj8*TAj#Um+Co zfS<3Epz8Xr{!8SVnAn2G?nq9}6 z%LFqgrW71O10R>zBPy*49Tucmx#l?RhNqAdfH){XFVKM_d^uPvt*J#VyL8hqR z_$zw*TtoGl7jOd7Z`l$B!i2>2%sA>J+vhtpLvMgXA@#sR9=PRDpo1`zIHtt;$C|bh z*4AXYp{I>jAhcz^h5SIdjW?5uxnA`vsG-0c zywAI-kBTr(nfRMt^w*p5=zKg7hrTk=TO#TQVIe*fF|0WJSY+Nexi&Bj*xsthjF<}% z7$))yu};9GMxpEopJv=7vE3%K))AE#xk5GNMImQD_*+m; zywE&K;4EKM4FjDl!2VrkgjIzO9 zsp}ArJ2_37$2A~d=eNKzwcE1VHgW%1T2^ij7?Mgp4Q*|xvTon@&%En-z?E&Yj409w z)=ksX%E!qXq+HmPW1B79dHuyLK9Cr=nkYH|8>UruokGT6!@i$@cW7QVVbuRO_C{g9z7@WRi8YGok@xNr($I3dKR;K1Fz@=;b=JOY(imY z8=FDudeMyzYk=)z0$aE?1H9w`FTN77!%V397e&W|Yx-k0BN&k1Oy04&cYH@58lv%w`15?v4R;ruIip_A%1&Lw5l2C<{gQ? zVuN%;Pj;BIb2d?9p)#mGz5b>b&)5nygw)T}IySht@P4_ds$!Z7oQ~oNi=>1Yn~L*L zpL5ML7S(66G@?dvwDDbT|JzS`g-2pa#VDriy_`0Pp7H0|JlG3_W*y(M6BbHJt zR^JKF%hoH$E>O?2VxNW|epM}t>)%)>1AO-^&DpxffA#TTaA)MjN=t3+*>kkInh-zQ z?LSSsZeEZ&z;47NQYN_D2>gHo!9B@9dbn?;rQ`XBn}i=h|8N`a2f1JnAJ_0>dI<9u z33S7wVpD;6iunkyU=8|)uHKCVgk4F30mL)7tOvE3AnBRiKgCV@0cA*9S{%o>%!lDk zo?^aen}l(T|Cx1L#H>JlItuA+O4vfx1d}8r9SkJ;9yKJLe2?abZwT=Aq9pmVpY>b) z_z1lU2>LZ5!=1`niz1r~hRpq_So3j{bky2hVC0W$Ns;^h%g51y-9^6Ok%0`@0?&V} zv*#WhM@tQtdd-^#^%$&8h)W{=5Pc5;sj^t|AN-2j^c%XL9v-xTGO<7h7am|nlPG3* zH}g&hm^jB8gG;6)F2i5g{%~rH6xPEEs zmKRd7%(M;e@UlPIp%1g+cYoAO9?)e%32k>dx+7a+WLtE!J1xv)pEj&E>n7 zJUTp#J~tVCEcr>&!^;vyi`;T)CdZZz5g%5ea`KRrNwA9J_o?EzR~2W6Ro@!0Xo_&X z1(ObwB+qmWp_0i*2cvd+S#TQGS8xG=qblYje6q2*&pj)`pl`#AbG29xrWs?Swa%_2 zh489clXh>JBpq+rSs|5h#7`qJ;%9z9xdl3-n3UWT!?p-zGr`_EM%x@#0TGzaFkZvH z?UJOQQ5L7ouqUHzAM4E{M7SC4@Zt8aMx(>UlgM$*I3ZLU=YD6-u~1sQx`8*v77O7` zghbAC?i-zGLx5UPCKKY5?rej;DOA1sEm*&;hWw&i-c;Qas)T=PufsTqn~`*OA_wy` z?e?PL>5UQU9-AzI0S#t$fHVfs;H&uhlF>!Tcc@~w^!K0{KE3_XXKjA@GIAU~jr5EV zLdT>iI}&CrhQYEAipT%(EcAu}*ROh6;q&!#1dL*hQoqKy7pk0$nqt;{+{`lNFb=DW z+aw0(D~3}T(BFW$03k^t!trxuI#ib*m`KP~;>IN1lm`dJaBoa0!9$ty5P1#bI0 z6AK!dIRQXgy+yxXb*r-`Yu~1e`1A3Xdi~~pv*AH>FQI39%H2mQG&&V1!9Y4*Z1l3Y zK;H)E!F}>&A_67grNGM`Kxy|Fl|$ZQRI$*TfuUJ_TfBy}v8NVV97yi>=8m|Wt4sAtRg)0qG7Ys;}vQltH zyWY9XTSOv*;37JMu_s&XQoK-Jf&t|=x?7UZv|q!~+UeSGjh=82J5nZcR7OMhT(rKRReHWY@@YWa@11q~L^ z{$%^ABl{0|0u`Czb4_NbH7m0e>E)>No;Bm3s$4v-&rp%9ayg;Y!{Yo-Brf~xLy=Bx z!J~!F2$)+}X_g^J)j|_FCFMH0#&&!Gr(hm2-$GZ?3iA@hPy4;>HGE}QO1}3p3ZFiH z>}3%$&QX9cnAQ{zdWlcu|^N*1ilgR1deG>(qC>0!y=z6eh{Ji{xq4P z$31#nkmTJ|k>=o^DPvJY8?XfIReDuonIhm5@~x3J?*OV9z&QPFCjWVxT5@g8E2B?c zCRR8viP2k>dBH|#W7>a&Ku*!~*B3ojC)IRW1 z^Fx?zz(E5l4LJ&Sn9cthgP71M8>=dg2pix-;TX`o#JF0y#dkT5+?$|~79uX#p%&dXS#PJXny9q=`RnBc`8 zzUfAy7o#lmnHU!`D56Z;T9TY&o{w)in;ps=>Bi^kkb!ur@p-*uP$dr8zrGb1-==@< z&CmeH8%CMON4wzK9e_ed*s_iH(HDr>LA=;96MiUi$DVACRSc6ikE1e!)IP%Fn0dF8aAh2vZz!t$bWwfHV}`f6x3bK}X}$=X?xlkFBx%{(<~X7-45< z-q=Z|TjM}@KEzr41Vi$_bU2GIl+qA+=T3V>x_z+y=q?q?oju4`Xv4py4rzRTCr=V~?0&ZN#J+@DFp9NSah)xkHr zA63ZMlyb6?=0A#OhNg>?ht{>y{0nW6bL_k&`YK9f<-&jDX@sCr_@BL8@s+}uismt# z9&d&QPNdlKzL-uk_;%?3(GFU3Om5+=HGO#y{mOvus6c^L6F04K@2Cgv#Tgt-jI>gd zGd6LX#oGyGJ19fW^r3afi9Q5FWP|5QnG8^xp=KH2u?@7fBlrV4DaF8C9KisL2TgY0 zz?!Zoc5zL&+`H|RzvwyMC!Fw;Cz9{?>};QA>gXiE^y}|d-E6;3?JcAD_Afb>?ck6H0uZV^JVvcr#29Ln6^itJN zqQL~GR$l$i=!A&i@ey4z|3rXctWe!ym0(mMU;{&4uqWZKF#P`bM`6d+G})3?j=sl( z!}I9Hql-I4bb@Kk)(-VGr@QjXjd+AP7KOOx`m<_y22choSeCBW0XF|H1(UyeYOb91 zzfz;-H_@-YjcMB$h)|H977TY8f0YR}{pKEpg6tt04;L^7_KJEa{XP20d(l@c1E5zA zm92bTC?ZZNRCM0m&OvI{2ZM%aEKUq2nY|P$!Yomtw`-qtxId&9Nlae zYQvq~UaZ6_?ouwQB6bvuKi{dnYpW-v`{R4HUyGk$222$OBgS152iAS{zn^Ol|L4?- zYB-F37jcn2)u!fIyzrSR@e*fcRkRn)YAb>S$2!!W5CnPpRy9l;iUJtI z#p6@!6D@1<5$~1O4&a*g!^{w&OV?N72@_R;m%q;KsfmmXo)@_DI4jWi33WQEv?ctM z>tJzwo^-09^~mdUzoSRz$7i_wl9n@%L``?W?eM=D@zS)+C3++NHVV@xPW3+APm65@ z4*s4;kNDp){d**SJ!#xJp3;Bk z_JQ%7Z=yer&-ghi>4?WVn8U`Yex!jFUq8P1CQQ1eUyOi71|Ol;5oP4)#3vh~+Po#@ z^@(xB!Q!QTu2`}1^|GVYu56UruMHwm@l=9U2u_|71_HkXr;Hbwi_dNRK4S*0RL~F z-I*C~XK26YLt}T7-07rl4mr`rgPlPC>QUT)>LL%Gw@sqe_xGO-_xs^7t$T{Q)j5Rg zYZ^%6oUbL6A`z@#Oe1CoV1KGzw!7MK6n%{mAU&1bM~l$>+mj!M2_ z6}@%V!Jnb|-mdxM5aRT**uU5;SSBGy#gG_2+)TT^-PJg_0+Y^;WYoG!z?P(RdLeHk zWhHE`IhMzc3_2=6lPM~PJEIj7*6dqa7ZqB+k&&ekr?RBaDduRm$ZbcZn+cvbhnV1X zoK1@Q;90yV26x;&R3F%_LrOoe)`ZEawPccU_Ysp4R>(oMA0tP7L|Okq^- zM=@-5CCXXqg!vxUaxOnE0WL(^pz7rh9jO0~#Q zuv9DavQW%o_%4eWmZMsQQV{pHnY>A+b)W%Mrn_&yO6r5j%|VsaB7HC9ysXq7Oh`$% z-Oy$RGW~Q)#1<*sgYkX@|DmPxQ(8JTBg+dX6^0ikMWXzu7s^IUSvhE%FXYATB?gGd zShC3}^s&6yqfmVgYaIS;n&}G?fdZ|{L?+$pv>R$Rnp@b#UL_MKnCf&jT-ie(t=y6G0DZC=W}pr7PC=`i9u$Urql1E1A3NZFw3VvQ`V0;kF{~k&0)cTQ z`sc8#J{&5+@Cf}7O^WNx=iBHZ3PvD-P^lU}P{V;G-?3P+?>vHL(VXH-`(B)dM-E~W zNI#ue1?eEbui`YK?dXXQujy=wH}h5vg%ztCMp@B6BMxY|wd+04t$(c&LsXY;tG3Yj z!jnl#Z;Z#dxrM)mvJLKe=FRl z*hJSbR*ftwT$tcK$LqL?--{3IBlOy0`RoeWZ)5A1A~8NazbhA`#A0)|nfx){yP1a{ zu$i~7KZFccB=|Tx1hIUUVj)b~;T!j1!C)S=IxXg=q1Htq(W8E7&7ef)^BeXKeKVgY z`4W!KhVEml3|8DviHfFMwSgV`tqj7JBrWiO)faoJU%gk2r!_%|$F|Cj(1;}AfZowz z0_mpo!zc=|JoL9)ecZ1){or`BCC6@%0b-aGD%SQoh(^a0ylc{-!E_A zlny3~yIrG=i~o1%o>er)pGpL~;h17o@(Om`p|yDVa<^~5X{!km(aWHzm0>XK#^Z*F zow$IF&)5~Bu{c;6p3&K<0aX^|Wfi%@NE%Ut%1Xh7$COUfl3&i^-6n}WKPk?OQbIv} z;heLRQ}+CylgQNh(K(u-;=r(h-J-`)k1ur*ct+N^1OYhZ&oH3W^T|H?NNB5{y5{P*_f1S~;vjVS;^fJf5832y(b zPgt#BdfCicrff5l8(hY7jCY&dy>9C;pJ&llHGmg7eebEZK%Xgv24nwmh03N8q%-aa zZdDngR@-C!i>J@{QbWQ0wL@;BO?`JH>%#O$;7N&wEHej8FX5;I|IHN1$P{doWDzt5 zH+f3JOo-prR$H(Z!>Gk;nIF+h4kqZ4(Wx~}B(0Wz@?!fQu(k!Dnyfby7;Cfjd}t0w za5jx8WeQqd$<9kNaaFSM8z6|&Seu2DQr05Yr7B5R#FDyMV=$FHiv?^gx!`KsyGg41 zc`=j*h*kp=K4et}ydV`>67P{-zi8zqG&z2T4_lonIx)(NdP9K@DdY8rtuNlx1?KQh zdEdhd)+TX&jfq3b2z#&UFcT)m9hQ<0Bd1^(r~i@GPje=fj=-8Z%@%VbNg@wF>m*17 z9&J)f>nCN#M&Ln(25_I{@RMF(Ra6W7^;e=+zA(S8P-hwD+k4sh?6B)|%JU`t*bc!q^d`_1qLc*I5yIXnt7gz|(!GXADkwR$*D1<&9_rlx2Tj5+G zqQZ0qLwjZbkVr7$;^qdGc3lJj7|NI=!xbM5cmg>+wnUtTIM|I!c1OpJEUS=q==gAS zc;{B(5xZxr##>v3;J9Pks?ptBHQK4KbcN%)S2*7JReC>$S4+C&|AeMV~eKMV*D+*e;-84V!A}f zF)YRD`dzvhSmqHYVahg6=1Q5SSL{MjM5#)vb8j`Y+|?!1C8(ctYLhD9t{@JhuIW@e zuRn6VqzQ`EsPwg>C|kow{Hq>ww&JdH0H-OT^AxbM*JI*8UO(qKk! z;u8L$hiMc3+7<`km!$ZLbVlrNd10cQgxaBf8U-vVul=u0gxB~US<+;y_Mo4>t%e`> zK1^Cfbr2XI4d*M1(2@HSq;YF7i28{&W{ z!J4C`q}7p#RWjRhna&#FC%o7&XPis zTWZyqunu3j2%#U5Z;^D@!e53(hn*(Ola@yC4|i$Chzz2mo(+MczMZ%05{{cC0$(#+ zFSVCfx1rIo!2pMD#{|Vd_M-_b`pG_wyCl)JW0uYnFmQ7`zQH1E6Id10#r*C!00$2} z(rAg>1rHP<;XW#Hmc?6mt2%M{We1p3P)85&ra}cgwI_jhD++gaXMEni(ph&Fcb1IH+w_`V1eh=O?DL{Pm>Azz&FI(@`h(cCz_I(lOU5f z``y&-Lt|*^`nJv&1X++J^0LTM?i{)l0+E?|1Q*Jxm?8*uN<38PF3C_?%s6HcfS{aZ zSP5}VyG2<}JmXX=)cb97=h-087s>%>vb8jSmW^i)C@!e#kP!k{hw=M~RNW-zJ$sO` zq=|kG@A(z=&Tk?-lFCw$zdEkXSc4A4+~@^ZI3%v_Go=iWW0M%X2c}87Q=NwH2U}r# znj4~%L!mju*+f|bDk5pG%GSAbLgsri+~JA&tk@jB_N}RsqhnW?DPj2wsy$#eftmqn3*{Ug|uzetTU zEtzem#s>>FUs`WO=31leyvn3yphJy}{Q0N86JNwS*>T?z;&cbVW9=T_BBtp1_8Z>! z$8nAniurDS{p|~Ax6j{ooNq5pjHXvQMjZzgg&WNKB8AZmt|v-TnCSH@^i^@z{@~k3 z{DT`P7<~UNU%tk8dznlVG#+;e9MCa?Zj_(W3?r~Yn5fS5O&BQjEe#%|ac1V)uYF|> z2b}%%0-=xrpMtfc=IL8fP4M>L(XqA7VJTVBCWZ-2S^y+jCuIIuu3*snL{?%*68?W?q4LjGJ+s@i>H8#+&UY7Pss2??^QpnQY!EnrHLY2kI6HcTJ&U_0oi2UL!IYv*g21o&%zGD~m+~benjn)@1t``Om+4^G>RC21svR83JG+iOf3OrMSAlnO&1?wR#GYdE`3Bv; zHq76{uiNIy{ljpct@l-pWoEGm!c2`rcCJk@eYJaTt+#r0A>Ox>%rxxH9xta1&)BDk z?s&6)X|o^n%|0AJzi(o!t7FnBAe|I2OZr*n4RhSXRgI3KHyhN$K0hM~(^}i@9*>-5|Zco9@TLf}ds#s8x@7dR<{??CtacgB4^z#R* zYk{Fys4&i3>-*B&@`36s3mk4sHFQE%eyi`eYmK*mo3krnR#6yTx{VtoT8*?W^BC^f z8ev$jWS*?1fWlY;+?kQL7k(B8_8d)FJ29`6*!NYD!4jhxr*uu%LiUUt=lJl3@*#Zn zMs5sLP;x#J8!m<0@?a9LQ}sIApc7-ao>33^{la;)cx>i?vUSf_DoR(~tR_V!B<f$Nv#VfdurZzo=i~7Izry0qeDPoH< z=yir^ah2S-l!55Q#_TNhJxvr9%Mz+Z=v>PQ_K!1vqqVz3bZ_{i@0YQbuQLu^uk@+X zQ67zKnk1Yr;3Rj&3xg$uN7qKd0cr}vn2r7C>JbX$_N0KPuZ1p34(!4}jC<%R z-n&&eXOi+NRw4pk!=}9(_E?tF*|zD9Jr-r@gdD)CO_N=R&olLWs4U#?Jqs_{$pCC)Ey?Y#F%$8O(~ho zL0C+?WbQ*LWz3#)z?>_{x?wf!+Nq=rs7<5`S=~hEm1Tp%YfT^{&ha{lNQ>k>7EDq7 zNRP3YpF~#gbe+(-VQIm8xQXQ9oDI!Orf!jq(!-S29>bQb3#eSQVkN^IiZJ;C=4LfpUUgQTCuO5H>HEFoVQ_T4hN(hanAg{8bRBjgECU3~6W&31+ zj9HKySLW+A@JtHUMHt0r`tKz~eQSL!*wUw=Ve1_}P$=RT}xNH%e z5YxsdvT>%d!Yp4)J;rNHtY}I!HZ>{ubMVK*7xIh=)B|$&So@0C(GjK?oCa5@*S$9+ zf4#c>=YwoZjV$T#5Rz+68~RHCzs{nVC|Wy-h~#eQpX7DSEvGGo()0F~_v7Kfh%)Uh zr9zh7Y#25UXKSgSW%s8h%FkVeg8;V+_#TgJ)fc1&<=B6NN&xo;kIW6`E1Mf6r{S^5 z@iH7}?f~{2YJwL?-7ci4Qy3=M4XyjrA0F@){5^%rkfZYVH(;J|2LG330T&+V!LQi{ zXkNpzHKlq9X^tFfZpZNL7CtbU!VrWjv`*A!gi-t|$zb}6Zl*t-K^JF}&8nw}`*zID z=!8s{BVX3KUFeFd*TA8mIXFqPY*HYQO7on*7SbiSTGtjAU;;}Dg7U~byxLUEq*m6Q zY5-F}tiMYNLza<3yat$>6gaB36rn8sglUYbB=#%fzb)ZV1}(~r&Y(H^PASH-h`!Ee zXuRJ<7s{Wg2HFK%RngwJUte5UGNBg9+(nV8#06D3b^;hc2RdTqHcEp-CP@|y3UjhI z{cc#W2p+CR(ae577*4M zMj?E;Zy|JuYCBP>GPJJ&-*8_wl3BsHu3>jAx4-vUKPSMlsA>mraaT8hT=|WS))%NU z=t8R4eTMED*wrFBv0>&ZQj+T4e9X_Wmk{R&sbyXzu`3$bJI=PlpsX8BIek|3=#YuTZv#zTFz5H zC1+VoFO!=dTyoNb_?3D{ujGa(Dw&gZ)`B#IFw16|PzVVFS&CRsu$P=)WAB#Ad9 z#@eC`NIZRbcxVN^j2P{@#ONQ+iL@sVgR1S!VkWq~5*-bL*2&NUqE zQp4Hq?{K!;JDlzQ4rjZ)!};#-aK76+j1G6Nf}Yu}j-xx&(Z8o|4?9n)bjb55V;s1K zbsyOEjv$ZY-Q5MAl$c2xk7s34`D&G~y_3JAqiKTlk2e$8q4*ArU}CxlWrX?5fNrJU zRJRd%oC~TZbW0eBZi*aVtnYVH zgr6tETbd3Nu{FZ)v_Rg#ns$}=m_ef#dYvG2V06eU-G9Zv8|N^qNrUKWWDype6l8Fw z@;IGV8n<8pr{!h=jl{K{R&nJg*@M#(oN3@>1pB-dofTyTQK(Mtinv>g7FwTRI6Zux zP8168>DP}gI1fBtBnJyR)En2lePDAiI#UQ2PVpI?xn2h%<;O-?uqYK)`P`6In_7-| ziE4wUSQQD1CM)GfBdBq$|}P9YH`M9rqNkey1T}*8_SK4gG2} zS*2vL;VARF88KEfrJ${6Z#;|F`hGdEeqdwpD2Uy{hONxp(vgcb z*x?m%m&~)bNO2zEdhlPBMn6eCFc>l^uTmRFa${P$GD~u@-qfsAtDXyBkv;F$==@v< z41d_fxLDq_9qd$fm8YUW>FbwPd!QX)N{1D@876Vvns~5|;dxxD__ip%ieWjMWJyE( zwW~7XT8BA>mKw2Y<3}J!CX!E~W7P(HVbCM$&rr0xkEI!DpSqe>HwZW+0DCduZAVKa z6M)?KmNc!77NsYCY=W4(0=s+FP_7Z=ld7DahnHtHQ5T`EQpcjb@yRg4Z;qcI24zM} zcVI_E`wSgLVyL~*5!)3%uw#iPr$hH{c69p96XS&uL=jtGvBD+YhmM-3Zw35Oc~Hwu ziYhl==CLyN;#}tR284vCF`9wK)ZLm3V`9swMx(Zh!FR7-4FpeV1=i;RVVv-RJ!bhB zIvz$=ri*iv-e1I5H``eP~^#??|Tuj)pp(X(n_hV^RvI$moX<7yrygyWFpO`&NF5y`b~T3%;y=_v z4L`@^KV0Jb!g;Bgf`M&t8^*SrxrSv3`iL$hOlW`8i_-|bKCH^F--I@oM-OE{y!GKmt& z2hn76IVMlHlSWpnGArPZG+w3q(Z%bR z(et>XZhb{Ls>*G4es)fucPmq~N*BZjbnpY^-57$a$x!X>6`^U(v3ivZqTj=Ss|p7U zV*DFhMT-&W0rQrU z-AQwdHojiy(jt=xb>*&alaX8#+Fxt>Jv{({EM`MOmo8x z4QN&q@gsvPjy`PxS4cR8#WOkn6-SD-(wS3^Xqi=CLsJ@kaeQ`lcwhA$LV{Qg9odxj zHu(HkSUL~BSUt>v0q#=k)-%vLzp0ve)^@Twqlz{J62aBzSM@Y}0#?PXRbBo)IbmN1 znO|{c6zq9b$Vs6krN%@t*9@>q4X(T1+kcUVO*(5Kw~gT}To>i^2L0Pe7gILnt=JP0 zz1*HU@`mE8aK@gk5Ra|^fT?illPb99>15?h-3qzxkzfZI?LJX;s=`G_ntert8`PqT+PolSdaYY+3*YIBpYXHO_U=JxM=+Mmrn=&6006)^te=rN)CFwZ)A zwOPRmuBge|nC<7&Dhpz2V;&1)f9+F+9L8RtQv*)T%-fVA&SZBY`*wCW++MY>mc*LF zQUUqbXnLOg`p1g*Nw3%Ngrf>Vx1HdiJ3KsvyKSIW?X}_DLx=HAeJF~(YaV#@CeNQe z(q!dZ6e-%QEV*&H4DS0L`)?cn)vteiRL*|=WBkW)z0~ix$|kMg>gVyBLics_NUmLM zH)%7Z6?v+-*#Gd)gng6&t+iHXCG4v7<%{fQ1;!hB)26Upr#W^C`PM98n{)}i15i@Z zoJC)-3auIhkV|^wXwKo|_o6S%0gdU-&?~t&gUtwIKZ@aRxX-8qMA;C|z?8!`5rYg# zKT>SL{#=vpixXQF#ANtmnx_6S>dtR7?*BHXZs%?As(K0G-IPZR+$680-^jH6=>6J$ z6liLbc-mgt(fi|gyljZ8Y*@7$w+Z%QMevLX0H0qo@ zXehSE>6vJ2J&exDqS}v+mFE`u5!g? z@7}J^21TqFM~!g;mwBKZiGkA5mGav>*fv6L|8p|Vg_cpf*^;-)AE|vjsBbg0U6Lzc zf;w(Z9h@iSkJA!ZE0~K)>XH>%fmc6=>M_CE2+<@Y!oX-n=6p6D<6K9d@^pF`#9YPo zGD~WOgLbUM!0RGAAWBFvBpOWn*bo!WaSmH^+C@9cqR@;^D%4D8WlS$C^JYzLeC%S< z0!;#wxVT0l5d;Orq(+mai?o0dDHZBWYDAe{VK3j0U}WS4!ogI_le~oQ=8{rL49jLl zF@C-c`@U{=kMj$ z5}rYg-AO!KA-Xj0CT}?oP~EN&Ey5?TAXhd?R;u4k>22xrC~`^LIGvzTY9iN1_v>O? zO-df~1Jp$|DY}&)kqT1yP-RU<6{ODQCz}=XIaM;75a!byhXd{LvuDVuCOc$XGgYtr zf7s9!K{UJCNiD?Ex*F>g)2GR%WYg?m-l9{dx@o`VZEpW+L!8dST1i#L`Uc{lXFxc0 zdwB-7$ix}fqN+=s&9}w|?t1nQDBU%K7+V7md+0va6hH|k&v(N6%_7ZEW95rPPk_Q6 z$8=$MFM7Vo>U8Z;#iLGAfHX*m8;1H}H(kS!fVR8$BMC;Nv=pUJhdqUA8=EC{oMx^3 zaf=d_LMLT9TO`pEuA^XYj0_(zUa!(}k>+X40Pug|6JOxo`dUnYr)L<+XV0>HWAPd) zFVWaDX5M4Tnx!&=J@GKUINfY7ObtV1g7Jv_<6h6Ryk9G^gSVB-0z`aI;PDvRHTJU5#7Rqnt>9S-=!Lc%YS@LOF;&^dw``Bk(=eAq@@g*ju(Q8 z_MSg~`0ACdcYOTt=ycE$S@PpojxZDzo@K;H(<%<-Ccx?YTdPw)Q}CjkE>oLU%72RV z5M(o{mxT>67)h|s=<45Y>_06LYCjNeLeQm%o59x_MK8X37G0ni_NI)UP+^{eME4Hl zup;!{fBY@Nto%!lFQHQcSMVm3B%GxQ6_9DQY++IG^nBr%mA*@O!Rn?{2u13qC=P2* zQA;=}bba?G>HH2u_?XFxV2Rw?LlaZ=nUsb?JAE;uu z|31_Yus@_(O?3G)`dr9uzf{}SKTGEpX5J65_KCIHF0_1ib8+o9tJ<}F6hKFx*QcC* z*xcW*@CfDFC$P%IibIqB$*24j0~o2*`U&Qq#>`N9mCiQI-+#G%dw@B@*+uJ3KCL&- zfmXx#G0BDO#H=W02QbU%V2La*M*O?D3THTBXpRKL-83flT#!Nx*)gHM5jn6LJ{3-Z zt&0`WRUcLnoXz2go@qq9rgEc$@=I0_XCo=r^vhaCt&T7zjbCEFn~@Q!qsaa_?$#pc^=E)k}%11?U8NE;pXhbJ#O5Xc_ z*n77aNv?HGNVd5Q?L}rz%Q4Kte1k!+ncp3?55JG5#29OvS#N`o*m(g&;J$1`xX;+s(Ho2++L0Q)+;y}N><>~%S}2vIUNiK zM`uT;qrvI$WI%|7yT9ZnAvxAJiwm{qB>7QAHQ>Ms8mBp@&S82|Acao|bTKJOGW=P^ z$CKk(56yk_k0EBahLV^30V%mlHMEf3`YuAdrKPm1cZMx#P3zFsr*@GB_4jVsPirvW zb8mmM4v7y;dU8HILp*#m5Hi+Qqz0i-vcANuPTWv!<)rhKMLsY%P|0Wq^}BFD{>>T< zD}h%61gu*X+FE&}G@Pf#zSu^{IwV5Yle7CWth7-rH88U}^Q!kH!K89dDtv}sc38{< zJF7!ahLg&tSJChEWi&i_2m@;!DbxB1?*8_>b>Th1`lOE7x=V~&u6YR_M2TdR_iUyH zZ2G?D_>eUFTuM2skQ6`Wt?QuxVX^{ z1X;s9o{CTT#>a4DAX}1h%=i!&8&R2G@fvy5fr*wP7y%t#n~b(LteBftD*GkbewTdz zZuEvQfQSGY1C^TZ0z+HT@;dlMo)@q){0f#LVh3Odx#5|> zC&TkaC;f%&&yTL5yI&<>So2I*3 zPf^bIu=$G&#NHr?Rs zwTg7fHsxi1I|FE)@N8Qz+)E$ik4`Uy7yliL_jAtpl16#orVeqqKD)59iw?m3uPh*jP~Z>5-|SbR@#D>AD=sJ=a8X4X<{*ug4-;3Ue7Bc^TqO>;i(uNXPB!FVoOPA zmBh6+d7pr$x|J*Ls;BmbXUAt~m!6J#TYT0b3We`~c(51~W@WMDC0>yr=#||*cFAcv zG4%DgYSKe=qW<8kp2cwSm2P(-%EKL+$ER2B1Opza9cgu2);7^T9X1uKwmyj-9@8;j z9Yhb0*9(0Tz574jspYZMFxqY=3pK;Ax^3O%Y_=)mnkT9pJAQ8Jupdxw@#}aQFXG+k z6Ie;&x0-LVRmPw8hzND z;2wO1xV%NW{TKlZ?i*}tdbINu?BJ%Iebdn64h=nqv6aNa+ZJqE880@_yBpKFTnyZT zxL9b>>%?sle&~BN^Q1#FPi!%5BwxlWu>HlUh+pO?WFHfyV5yZwD=SP&!*JcR{texI ztGy3PikcEWBd4{@=kUV(&fnf3ejaH&l))dc7L z4-fmb$qi&Va>*42v!5h?4rU6B{U#emD- z$L!OE?HjsPC4wtynpZ(F8g-(Qxa%c7tK@ga#E=WOe*ENRwDa=i%Rah@qDj0;*KxZk z#DX)b?vJx#+^C16n(#epbD4DmiD}Mz<*Lf9rac1f!Ju5SG&Hu$v`FNV)G>47eL6Z7I6C1hH#)={2=1uUa~Bs<6G~Y7@lZ97(e2cE&k8Uz@_B+t<7f1HAX}T> zS13=!?FX~>5oH)#f}~$Qde(1`{2-EWQw90;EeXCeByu`EQk-%KIb^?6Eh3mJ%{e!L zTD(+LZeyx;34INF3{v;iP=**ZSE#=Nh-}4nmUbszb>jtAQR@DqAO)O-g zVO~sbu_19ZJUTp8Ir$9<>`X%($hEh;<#ACt$%#ij4 zHqO(fr2vY@LdAZgT&{G7Y^+9w4lAk43s^@xWb(EK_xjbG6rW`7avu&VX>arzHHc>()NYZse z5+r0NsIiFOBc3Nso*%3oJ-WqoGf52WFs-UhvMuONHzCW4g(|^6&@pUFQly-}L$^;G zc8m)|%#qx@+BYuFiQTlIog*)Z<4983-H5W!8I|x}+zl}B#M(!!GQ2tRpEw_9`Il?&PS*^)gZ=VA{>((H8Dw_^)}v$DK5kE8y^) zH_@64k-A|ww`RgGW8{R7F8I;i=+k`SZ=5>>MUW6`zajV0Z;N`mQ_kbdf)nU=qtA#B zUhxUSl1~oWX_BGK>DGbB%k&ngib*g`$&PiN3xwBojl(HEC58p8l6Mhav4 zuhBNLDurA_zo?rrIzbNv{zALG*kv!1Jg;uEYcNUT=oReBm?r@z%2%)YIKgByy2asF zEDM%iMPjh3ZUe>HY7t8sMV;NL8XhaEGFBLyVOW zGt(|2bQ2&E&LNZG?Az^gW(HdjjLnC)E2gSc)1n$d56vMa-r+(-kmn8jHnij4*N!M1WZMG3wtN$3#2hJS1B%e zA@t{lGWz`dRaD(p>tw0it=^|nC5eoc9xTWd&R)fMh$0#AziJ_I6=YyTSmMTDi;)n! zA46jBR&AhqBS;&YH=J5W!Zu}sDHRHiP1?@5HE#5q+rQNdZJ4HuqJ$TwCwD%1Y3#m9 zQcf`N!SOqI^f#DLV9%m}EqIC0o*7v*=~}}-FFty8@$Az}9JMj}h8$wW&q9WmTTV9= zF3`c!B5?GpKqQTbK-Pp_Q(`EkmX(Rz<}l{E4e`fhCcqtK1^KO*kY~ z7DCCql!zRv-4ZO?=urfg?jy2uc|Rsezm~d`!73hTb5JwY!0w7&aobjpv!^(E9;RL# zD$`W0)7JftwntMf(I>pJ7`Q=R&`{uB#ls%G1uTI{`zxD!QD_Vm(lr{wyfk*k!LAu7N7OYhm*;~@txor}|wGzhhS)krtNfXDIRx$WcuEo0!8vppx7S9VoN6#~4N ztF)$>y<0WbZPEJ}i^pw;Xx<)07Vi(Hh#@bn+>nM|&pxm)+=t3Rvydr(f=k?r3y*f* z=SFy%YR>za{MDwrI=$z#SSH9<+*o?xhE4@TPk^nzZY;NcJ=(GUO_$;LNA}Mw!wm&a zK3yt?Unhi1#=%c)Ey0}K+Fj8OCRD&`RS7)-$5i^3nCH5sTG{oY9YNHt3phn_g6R2D z*~;oBdOLBMqvvTeU)V)ArHR@lLvwKt{D0s1o?Od@OL+maRc!&9Y&pbotjLJDB4S3a z*VD{p?B@^}VrNP*?UFi*kF@5EYN(>0E^2bv+ww$fD-IaaB%nh0q(C;O;X0mgV(mGU zL`ZXF;>=6fbFCczFfo9__l^_BHZ;HF-TzKQfZ-3JgSY_9_=XN9itL+4tI^5^g&_qK z6h&pL4f!ZbkMN=ghNd||KP_NEgTp&)%JBPBn9gyT`sBv#K(hv*)fQZtq8Q$aFWYTP zBiCn%4-XDM91iym4~SIXFF6EJi-re#qq9?i;J`b<5JEd>ZQp{wOK&Lr*<~1e)&w{E z`~D1l`{?i_`as7IP^dtT=aND+BQ8@U0ji`E=q6NiO*M3n?0oDCvX^_L5;ho@Nlbe@ zKHz&zrqS2@-M;0}))O!|CTP)4=yn1X^h)ohSILT#GIPF(x1s3p_>cV?9CdgDX*CA+ z1c{7nFPoB63E$@H_$@EW`YNXRQFIG-q7S@!Bd!=vlXlgJPLOO&ZWAU*fb{|sywE*z z_{aX69z;dU8?bt0(L=|G58AB# zKTbV)_l@LOGK!MI2p`q?WW3OoASq-E9(Z&xcD5zvS{@pBygWGC-__6Ti`UC%w=qx- zw{)91T%}(*yL^?*DJl`yh;r5i(vzYCW1TEb7?^frdB&%VVKxlC3>LXt$M^wtjPF^; zH0-9gm`9gUJ=K{i`y+U2uF8E*{<#{=DitX>mrE=pxssL zkMQNz6w1+gmwDk}-IJ*kuVp*E3W~4_#u)>EDv7zYgMI?)v<>(d4x?g7ZrD~BE=nI( z%{>(h+kB$jG_Mk6{farQ+@n24G%RWtj2lcN(%U~B+58TD(@snwON@hVZ2!x8|meGiIf%2r#srh@OGcotgx^p zwF2;}(;$ywiD6eWIjdR8g$fpBKkESJnp{xyv|V^SkCDf&RsoEeNizL@Rg8;#Q&~{6 z$JXBwOp)9xUS<{9o#pKS-;sA(>?jgULFN$-966(oVQYs>TKpvKbS1% zj(rfs(#iT@b6xX&0r8gsL+J+SNh5E9r};9ZfGV0>6z;wIN9u}dhP^Kk-m)^wEc?pI zE^EfkYNH{@*&sv>Pf**)P3ii@CQqV+{eH(pd~r*0!8-2@H8~LD^)YScFYmpXhcdnb zG*WJ|mzxPNOu%32N^5$DhEYmJmSBnMV(F?#8)h8J;L}soVK0$# z?oPVmrX5Rr3wD~GQ(1flDedL(y#{-N7Mo)aF#Td%zWuzmoP2C8B_6_gSK*b-M3tp? zV98PGqn}s=p@Vz!b@yIqTEhV`w@h=I7>8o@`J^iLZK0R$MyGpbWzX zjN5rfW4`Z3P3;V%0{N)g6#89>Px{9KG8D-7b%{o4u`)vhK&z?VWvS zvTn+ZDzAm6ToFPKVWL5Lw`%jy?KKut8y(piZ6AtBh?%{XgPd;BOynSuEnZ%!^1stG zMtMFrW1!IjR3nOqgJ zzlCPT^!eSC1|4}Lwvq?XUF|6pDsb(bGBj9(3LvzIx-XO<^$1qIM-DO7=+Wrl(a{O7 zMo;y5;{bU_j!smvNtR$Vxpu}0)=u|ssl5>3yxW%HzHZ59U}P~~Ry6`FoOu)`O{Gy) z)KgIG;eS)6Yer<-U)cg=V*z~A4w@Zq7!<}Xw`-}0<>Sp7A#9HNYKY!iKCHv%C4AHj zZ1zHpqYp7E*-m6_KM3RO|M^{VxsVrD>_(v_C43|%Ci|y~%ObyxzCzq42E#EZQ(rr9 z?Jg(y-Rp!ULQfU~SGI$^XcljBCNV-p6)bws zpKGO9GQ!mR@QT)u!Gn1qxUDIx0zP6{q*Kc2lf~y;e){ZE{fYw=WAg+qsjE?-a}}8k z^srQw9qy4<`<}{uWXNem!Y)kT|9LW50`70JSm)_H9^Yao z?|l5Y&+O^?m*kUHd>1Q$qrpOez!-b7j`lF^Cz+P|WDSFSmQtUo zfg62^My?L|RbniE`q4)pMW_2v!q7maHKPpuK88^|hyPdE8u^SOF02S{>yOcVfARDJ zj@;?V*wvVL+pg*N{WHM z;e#&~79>yB$m4BOhUpm%vud1X$hb@QSUuDlM44Ah=#xdYqN#NEpT5&b#cB}u-ufQI z+xu(P@W67HwDYwnhg(t3<2-%iawJmR)ErjKdE#^Ts?xG{jul*YPZ@FplZT~$vkg+U z;_15@c@zECl0QagVoB1RE~e>a`0p?~pRtQ4P=NiSijxn%-W_>-komJrCu?Kt=X2}> zNe-2(){^TPSVHx>4jk6C0=pRCx-gHCJBJ~;h=@l5S{kW+3RXJ2FU*FlPVeLsOcn(u zu~>{dx~d6k)+E!ukWM5waP+X{-PDbhMrYre^a9K`nh+SaM1-9sPN4I#q=^*$!jl^A z*X1nG?WK4!kuOs z87gpxU9-;NIgrN>9SnQq<(CHaBI`(@C7u*^UH5gRGS_m93JU2K7pI77NJK~9@3EPr zrTVEs-~+L`s$fn|!|Rj7eU1qju#(xC3D3o`re&~Xm9-uN0_obXRsr$CE!wlRxH z?2;RWW)BIpvBaWLEnFmxkJ&B^i)O-4a&JBXs1pxCGzHyB zODH;NLuZ{`bzWf$k_-}cf{C7rYhwyV@iqQZTAlY4Cr-Pc=7nle!NCu2ukg(0b`U9$%}fpz+*DTg@2PtB03lo zQ^nO2qcf((1*DL_4b{+f!^KJ_`XmX$dg+24A~At{{_cKcTO|KpSR5m+JR2M;lIxn# zC%S#z=jfA>H`uQNd2nl$5IL@F>i#1$FrpN0**r6gE2Pn4DU(No*~grO>r4`kOVBm!0a2#0u{R;&bLCsmM+Qz0A@LV3(rDx2E0LQW^WK~! zP2H<5zrT(8ofbEFR>Y(_ex2sGnG~;2Junc9Ia{fcSE;--)*Us0K-9dJpgY~J5~JO*iaa7up1|uq zd9up{BfBoc2$p})%rCNwPkSf{82>veSh`l;Sx&T0gFbx8JYI%4Vu-0e!}D_f>a^fiF3ii&Mjk(h(C- zy5L5nFCexdWh;nfVGdT5?{;ISQHzxQEIJtR%0_{5S1H}PXOHABY)SO|5el87$hjeY zMXJB?Eizujn{~0IZx>ImF>;3XlhDVi03-4`@M?~}s($qK&7Ao#3|kqpSBV7^;?Q(X zPn@v58`09i9ydxl_|8fYUV4M+7s1#oVTQ4SNMnnfyTC53l3;^YI6YBRoEla+iFwvH z5Nw;M&L+!rOYP>CJ<7Y{j)&C(E|wC7=NTZCOfB4t`_6QZr3`Sk&1ahu3xTQj-xBHV zD4!aNh_E0Y#qA~wXcHR)aI?jB9luG6HO4zpp&0?mO-X#?RirA5cD~u{kEZcNM`gxE z%HdIxKk%wn%_Gg~1l|NX<08qb6fq$PCm!!#@L)SAx4g}Ik(O`iWmH`qUq))~{w`1j zHm76pwU%$M;Qi=kjq+>OGHA}wMrjA#6i%}#2FjIeIcOulk|fk(WqrM%*}yK^uPSR% z)5oG3WYazxksDpX060camoatA1YEG0~qadJ|)O^G(S0;@g^V z?wl7C1&?!>vB7wXToM*a91}L>N06a5peK?G+XEG_F$nLHy-;enN@YYXC3jjc$Nk=; zq@BqX{Hx#e5f!xfItHtLavR2oNM(o)ko%%yLh%D1EYf?@fXy47A)_JzL#)#}%wbmQ z8wY)!)n)?6&kAG3R^O5%j-_5_Yq6ztCv=vr*3zRSP3IvSYi!kWv#2CnkTS0}<9_DV zjP2=M`)jJr47K2O%zcQS9vHu$zGrJ}e%iFe8R1QfvO!^pxlEKDI`NLR&;_{I=;E9R zjDs+)tN(dOW1U3h3jvbdfl9gnMPDG-r>(U6IX!W4`MIBj`N=0A!g2ci z`Jsl?+ES@GA{5Ou^V`e(E+@SdxW_D&6w1;y& zhqdsr8Sxo>hy$WxGdR0*&I!OA!fprJVauhMCHCe{J{}q ze5yuBe9-{tRgQ%?%TS`DxEU9>l`s0*lv|-Ynf#T4Sbz@#^3>@V37;0oU> z!~lzILU^FOuXhu5)HXwe1<+vd@(hPbyTJc}qHd3a*$bfFPg)znZ~M_2PN8*)V`fWXZ276H+9IwyB2m$#$u?}vqV1OCNU@m)P|YM*A76*Q~| zeC#tc`Y};QcaTr|sEKfRVR+&8A*8Cv5SgKxJXm(1e z{h^d|%3-H`oMiK0I#Fv@Z@Y5UaL9mvTf0i}ddT-(^H zR>-I`gV%yVPH~;8XCh}&8$dabq9ktA#IZa$wt1@w%T35?YpL8J))T^+b?q1cVoD30T*y5jv`V z{woC-z~I}W@N?A74kY9db_*32S6zzQ*gP~RN}QHXc7W|X;U|0IKpZ2N@&uL=-!i&p z;!q?YiF`b^ANh@5sXL$i>IpRw*7pIe?*ppZUE@c`T7CPlujj=$?%7kK2UB^BHbD+u z0H?{G->hNhW(~VFOYJ;#0J=}R?*2m>5>8UCPV=p9Qj)xoRNTBSm7_(*RXgBJv~&$N zrn2VSzjMn@-fgHri!75KL97p?CGvGb4_M zJn^S#JSh>RT`32&?cT20hzl@Np;h>acjVr_J+@mxYhGP6p(pkVkIR@D5RBBVguEI@ z94;#rNhZ^?ikqiSGbH1p^;oOM&Zcsqv}6uwpFnlb4piwpuIB(w<1FMLSN%5F3C}|T zQB_9B8BBeQGAXNC11@zsKLZJ5j1cd@>&UcI8Z+w@^{k9P z1fjwS$7R44VFBXhio*q@?prEOd&e0wgFTYIs^nueb1h5J;+xU1qFPjpFYWsNtF(-4 zyo{^()TG&UBO;rZP)?EuRxtjIWoRWcAAmPtgB)&MPQ1tbfoFM|J9C2#bhxD;R(#55O!quDh%2a~O)V1qxx2cP1;gRTH2wigFlRi&BbrZ6Hn z^mErj;7F6dNos}g&s_^Kx$hxLGcH3hR^c1&N+TKb$947FYq`65uQ|S1Zsub}y%OSN z`$+NfT`WlS5st+do0XgV5DpHq_Vdglp!VL5Z*Wh;)DX+T(KS?d;TbWf5y;)e~q0uw&88oRteyF8*;S(E6k$0 zusg(f78`a|ssH$FfA0V}&KHb2ml!Vl_|PXBuU2wUH68?EwY5}NlbdKAm-7V24nh%z zXQyXc#f)0nc21?_+}6#sY5zp8CRlFcG>vu;SsC@a9K=0$N0Jg)GIldu`4!0AX9JbN z3i$onBpnY(($RWW+swnJma_IhpZ)7KYQSVeVh-Gq3@L4zb~7#!+uBmF9Cja4atDG-o0ZN8_E2T2AwnM_ zA%h7~o}{s@3=+*2Yl}baf=kDRPi-IykM#7@%jlC7o@?8t00{8T5-ouk|bX3qpr04eFZ znbq0b81ka$WoDaA09PU>v&LqS$ctz=JXK)@i^Z86q}Fwp$wMVaQ=2*~C?la7DbQi= zuL=kC4hQNtS~Dq2V!-2zka$*HobjiWMlmkqE2TcE#sUM}jdzQgyH<X-)1H{CpxCnb z4)*i483`C{j-%n}>5=tyVorykU(LF%25gOY8XJF|B6Ktye|Lk`OnGNmA`y?15vClr zWEih7UM7opT&Ua@=x!zxQ7k(2gByhp!@>@rGp|J_^;io%F5?o`r@2qeL%+3@N|_&Q z(!nt3sV90!m$R<%qNWwhYL)ECuaQg$)3&)v>e6hc2N9pTQ3}DDkqV!xxeyfkvNwy- zA|cdeY_p3GPsk=4o*f@Y-aRsh1XD{9p{*^GyD_ez;k^t^?(i)}r`E?fIUDMwCw4zB z{m}h0$Q#2q*yLAvag(zVxhghQ9hOGF+7WyKD?`ij!AJQV(=P*v-lu4pFK~yTpi-7z zB~g#a=E-Qg`>VXJ7tEKh(ykR;(!-5O9F!P=eeO03I)fKV6D5VhF@7Yj52;DziEpjR zEgn6UCb}o6GN%F!Nv|{bTLo`5x2Et0A)a~DFm=b)qFlB$Px`u@Weu0~pZ2z6sY9V> zoAcAO+6z4UU}MdIyc_-6K^q&<<{`4-ogFDF-6-EqL=>Z=PN`{=DWm;O?_N0)4X)3I z4r&Z~EUXNClk{=%22L6l9-#MC^fbl~xV?W>$|D(ou4XdSZED6aH>^jZR$Faw;^E0( zr-|sr?Fg|Ehm53(OKfxy<<1I#j#4p0^H_WAPRiuEqoawQ2>^^Sjo8ixyhY;VSf!Mz}WSh7_B?+Ca!?zt_sv z=;vr!+}gHweH60P2ZEFchmi%)-`^iu>z-cmJPB|*t$5itUWCVlHWb7OS1fJBT9|1S z7oOq9u5?hnTRq(&1!dWT#{XQEGc-a*O1}F#O>7dLnhrf*u8)pJUZ1;vn-*x&x_p2< z(l%F$C%p8a>EVO3Y#5U-6XXUbcMVk4Udaq7oyy--%(R;oIEEy5gD9t}H6322*7#%^ zcf3{l;fu@YBSe;#Ip=b`DRSS7gX39EG(^}tc6DlA1f z>Q;D|zTP8#rQs=38=vWQ9z6#0M21IHveBjn$?$Y=ct%?u5-JE=N>jYEJpmJ$FYhr- ziC-zp5ZKek{D_x-a<}_Cb}r=SO}UP1&2e5wp4ajxC3K~pP^gQ>sEd84M;PS7Agvvn z-L_7!Y_eIS`+AzxF&TChX2p?Gb&~ul7JvU_vu^fF6{9#1`s<9F5B8{JjWA$!Nt}-6JsU_%3|ca?2r_z{DL~(@F>!0D;LIR$l$7i zGH&KcASm&(dSaA$9SgQVdtpqkdy7#*bg?fnb=s!h3bchexO7YWx!=GD=pfcfjuAS= zK}(A7j<6eyCr1P)nDDum)1zr639;lKcdbjoh>eQ?MvbZA;9y9h!7@qO*oI=C9QG)B z9p`q|W)?TK%3S%O8#Nk|he);R?y%c#*CoR#1eg&2R4paEx}CyG1IOC{0MlUiotgU@ zc5+yp`0AEiE5wqyY<2XLO4Hn?Z+DeWt~jKlKq~YLZKcf{aImNad;y&NZgKk8hZM6G8zuJ)w$Ub7CHq@%RUl}Tcpq}bJPzecOfibmj=qQ6Wyr6>sB zW|G-LqgH;zWRYB#1uW4BVJNa`#Z=~cOIS6YUWiyzNMp^XDeKnmz$^iDRfp2~+(Y4$i^+Ey(x zWHG0Y9|{zga?Yw#oUMF^Y+*4(Z_-3;|+@H#SPx_8wOT8n; z?E``QLi<_A@^2^qbdmjeD;I{&MY1ZYf%+R_C@zeD8Gn~9G0`NHL1I^qESa$17RzP9 zMD|VY$ENhUn3QS%qj!7?3v!=@68~XYvsqxeDM@bSc`*?*B$Rr%x8%6TV>Wc|4ap1h(oNr@rQ67uWl3^tIS}0g3kBPkY}+ z*U{ISc}5y^0OTk&oN<v>Tmu;>)NCI5d|Q zWri)l;nC&8mV&XTNtVtCI9_hX1Zz5g54V}6{BL4*9Tq*$wGcXpb#gMKrQ*&IHgnfF z@T7_TDwHH~t5;-86|R!=x(NmBmaaYdMtoGY#VwuiDBD>=YQ~kG#igl5ZP)BDEvg2%_@Mcmm zH%&j+q3gdc9HZ}Bi+b!}UpV&aDVq6xi1Hr7{1r9< zuQ`D?odi}Y0vk{{TGUB#4%pK&p7{s#ElZIF9i^w~@GAsIQ1C9O{J^QepH- zF}X@^B^zGpFT@Zew3O@TdF$yo;e5>!7?Tj@M;rc~7LQAT|8>5C-u8q>R4WU@dt8$ZILey5@dKY{Lie?+-GkAFa4 zuL57%{b2e=?iICH_+OH-KlBZ;5ef{nOV%3vvl2g8vgRZnC8leQ0E6|}$%z@g4#yYj7`Y(Ffe3*Vv);u5zOyP9^ovaWYdh!G`gg5eNOC zmZM$1(r~o(8y(d~)9sc@qVqD}KKRAy+=_Bn;OoD@A zcvELkdcJ_VFwRWE=Qx|WDKu(?0<5J0cc(O=+*5!@FBT)Y$V~WIeTXK(b@wj!qR&>C zZPpAFtp!4SMN%WsU6jp6JU3-)>5K!ai2cM~pgsFgy;yON7x7hAGZFCS;?2?ih~pcI zXTy-W_y<3M{kh{&TBf78ra>K0fou9sCfmHuH==9kRfeC5MEp> z`7v?7sR9a-{@ji7WFFhMVm2;aGE^AH7$iBaJ=^c_k}fWlL3&M$MADlY>uOI8u9HP#h4o0gdnFHJn6H9Z{j}6qjRj zu-5*Xtezg4g=*S`L_Ad;k*#;9L8w+(D@WZg9evplL|_W zgSO`Dacw3!kjp|GQl9pd6jji^6sDQSumF^|R>*hfHmM%vMc<&$ZH+vskEv0`CKvxY z673CvXm|v>t$&jXDmb)&Q0osIu6}1L(2HW8n0yBS$Hc6rc-P zmQX|q^ULeX`0z#Z8L#fvG}5V+1Kny@Qe3BX;s&C!Opv!@S>Z2vApt9``GJV#vPY?E zgi#|9xNh88Yvaxy*tmLyev4HDhWl*|816r?0SD9oCJ0gW59v2PFSoa8*xIJy1KaeQ zAy#I@5k!J?h|O59;ImbPB~&ElKMxI1-NaFA6GsnhVz7(u(YCvPY#XN4fYNXxh1{?f zwy#Z%LGXQXmotF@^$|9TfPF5Ny;b@oE)Ay7P7jo|%7&=+D#5b)UM;SJiFNRs2>uL( zMP5CRUJg%H0LUN&$q~?u3N)?T-lm|VP0EBRIZNjXHtIF*De`*%>a^Fobi24iK>)i_ zM4qUz9c}uzXoQT58`2Y{rl8JjI=Mp5w*mUDVno*uX4;u6tikZs6-Wgs#tC?4~s%;Es4OA+t z7QGI7Nm7xCFlk13W><1K?D9A*i*Xw5%x{-hi#U(Bar5akps*+c^_NnO*Gu2=V1G1# zJ&(z+Uk0pL=lBz2+#kMGgB2S}%IOkRR93z!v8EFe^2LS(1loe6P%Xye3R^o=GQ!Mp zm7=q?5Gu3}j|a%agpE=GQ}$9|<6p;b-k2Qnr3PAvm(4gyEK^zebnSED7wdQt{Q?T} zKte$XgfTq!_fL=mLXil86;u>iC=Lq7(L@DZ(eak9Hwt;96}Fwwro>|1hPwyaEmRnz zx1#g5)dhTS6h@tpMx$vD(b;rx+CgyiA^42oS!}x=oFURfDA43KF3jj%6yk}@jTj%=%>f}r^mfr-(f==x;ZqG zXaf$Xt-5L5fHW$p=3^#eD>cu%qDaU*uTq zmXF0-9cH&StDp|?5L??-EZKvaDxH!4Xvj_tB#8(xf*vhOf6lkABq{AQP>e#U5xCwRcy%`^_D+{AAg3FuKAU%yn6S4zQbAixp+=B zcIoM}$o%TZ#bYOH`Nh)oSh!7mqKZOE6TSi(il$h1M})xRBOXBMZ-?`|yg! z-A+J7&Q%FNnntQ$w>_wW z`QDRT-fo=XT9DLIy}4Feh4MnZ!wvpv?bOVP9w@b1!vQ33D%J_88ZD`*s)qG9lae{U zXunj3vj*RK^(~5Z2oqfrNDpSwYheBiFe_rKeC|Acq{gb)GUpviP*saX3(Bl{)(=|> z4KsTM@=_>>Up;_ZPv3oi?oe%p?-MY9cpmTmfJS4SjV(i>oKg+i1Lh75B9b%Q@${%# zz;SJ_*2KyRlaOe~Zkv>|w5?Q8y8bAi_Q)SUH4aZA(+v+Nq1qk5f-~RX{B*__HEP?T zaRSpRsS>vWbQD*dym4V)uaz8nCFliM0LYnZ>?b*(62INFjqlFs$p%FvixOQ^A!DRL zQyh$wEa(ttB}Td)Z6HU21aOljYx>KYaLiEu$qXC*)~+F&6x5KXz^nxqW zh{ZyV|A7?EbQ3jFS!r#k&}b)a>o77G;ghTvN*8o3gz=^b4?H zfOdGfxK~);Q;v@67Fl15vV(BN-B&@#vaed)1Ys7m7CTcf*Nil+X3$jT(&Ffa6o?>FlAPbuNqWdnmBIQBUm*dmqqfS z6~G*VDqECjL3}fgt^dlAtb5fUldfQUNPI|SMr5^?RZXL=MYrZ2;21$Y!3mF+eIxE@ z_yy82+E4{DV;m2Yt6m@%(e~5(g5{E@D0<>h6u#9!69m!*a^D0peENjy;ThMx;6yR9lN7gcxw7X5%XLNG7 ze-c*q`CN2;tei}f1=tr>5`A8fUQ1Dy>6ErEBi4i109YXi zH`*lGV-a$)N)KX*(z@DEZRZd;ib(u8XA;r!@x^(b_`*C&j;CaF2Ndx$@}^R{ztEYk z3xiR12~Ew?yF_0?SroY!ul}`QVqijQER2D0P>z>pFj=02Rz4nf+TXoP&bk)CJl9>P z^#2~Fod*Xl7y{7maIPwgXa{B3wR|4E-!^G^0pz)PV+{^rlPErC#oN!a+a;`~(Z@`b z)VrDR?^>hFsDG2U9-#)3UzcA+ZpMET(AyJ8tm)l)--zvUz2S(^6VIz_Wu&-S$&7*! zN2wi9^I8~mF8+3!7toPy=1TZ2H1Y1AeyG>-H(!rv^GM9|5P(lDVx7( zvvuR+MEmANR4FWJAbuLea+Btd(7kWtlW!hnD0f3+Cqu-S_Q(v+NFL)*rON5}7KXYh zsMR#Zvq(QI!7nCKLj~wE8KcEixj++2l2KR=#qKS)ig2+L6s!wadAB;va`|Dg6&^WA zOC$KsE^YAdY;Jj9-Ns@e1<^-?P+;C81lV+l%;gB;14KHTriSt`` zFJfZNGOcCG_n^ZMM~6pBy$1faF(p!WUpHj!!)0+Vr1&Hm^4keuTX|ma+|~ZM2x%(A z@_9NXrngsdn%y8%_VZW$EuRSto#ENRzEmNR9GpIL3n}^x3^;rlRX+az<)m1z(buOd zd-nX2mLV*!z1DI2E7{dQ#zV2G1*Y%gSA9uN*08)cK@oVjP8`Qhj;;D$>H@+6Oag1!sU73;gk%w!uuWMRcpk$twSEJ0{gXGUN3slGTa~+M*PYXS z1m_~JE}>nRSWPQ>Fknpr$vb|s^t9hOXYe9X_V8%!(P_3^CrEfU(}ZV)Sw@FB%=5fT8pvebn$jxD zptBLtEswFrrut~Yq&J4+M}5!x;?=WY`!V;DA5o8EQLO)H53r2}L=_B`>OAKpbdwb-mDC$RcGE z^ZIXK_<@laNqtIH8=Qc%TOGXPP$mHn%5;h8ggU&b5iWlDy^56&^R-iG8t1ybbd?5) zWR2M4zM%Y8Bf>&8;2~)p_h2&4uy0`CF>TobP9S{#(9JM3Eao{ex2NmtU}hvQ^|yXX zr0TG0vtk~nPtaa}lFTS$ftVmot(?;RVbr@t`x6npxteaPcybjJxmBUPR+pQxaaXAu zn5t3Udxr0;#^+O%`dAl(^R%?xVmr}Hc`WW;keCOj@3<-&*5c%WwNYg?i_X`u?Jv_w zS-^KdKnXD?Ksi--BIo?-UL>1m?wU=7d6Q-fOCf7Zw zD@Qu(I`97#pPevogaaJ%p{u4-VwH{G{3hC&?Dt{U9aqZJ=xk9hb>B?j&~(MD@{OUr z`nEJ*Z6c>YlDOsl{^OTlxTSuH0Ug&lw`-xt@x=4u(K!buvJq_ilLbxFOH78Asrd|s ze-_EbhK3?d|M-@`!M}Vg@jV=;VCReA?`pGtRBYDpAN-BK%PbZ#Qpfr>gGW0OmZ{RG zPL`sRddZUs9^>EKv@V^tb}K#+S{CJund@h?e@#S!5^Dt;M$>6ILM{LrWZgedg#>oA zEWK3L=>>cj{#oXxnFMOi+BEyvLRgNZy*lw^0*x8ZjU8Htv z(*ATvNM|Oa*Cr=j-QMfXbZ$9RF{wvERkKR_`4!7lv`*EhVIx-vmSBb`^;#K&Ps}qf zDP*jXb;2#xAt&i|vB;y>@LDkT)@$hB*Ck8w_IC0jPx_?H4U4a728PjeQ{)4)MFv)N z=eEBx&pf#8i1I<@ibb^Etkd%wi}T1xp#6twQ# z#7q6igFE;JwIUH5A1%_Xnil2k-d$`O4)!Lt;Qq~jMh`xGgoA;xOk-GDBG~kAG7{su z$4lHja`M4mw17oTDwqQoy-zyWlZO)WUh3SDQ_?0s?)^yFVE0V~`_fJXdv?D>Fib~! ztP_RL(YnXWzl`$=+H!#hri(?I%)lrW9vaxB9;@5b>#78kK+eyLFeC3;;ubp9rwM9Y ztVk(w?&JYIxlaxdY1SPC=#*bHeVkpLAHxaA8k!ylxXiWTa1dqHrq{0}X8p=I!W(n3 zEcDHshzW>lq!)^YggzsEMe`B)8|mrc=a6akXL3fO^ATUVA{=ExsF%zTf?(#)QO~4W z_#L-O5xl}=W?Bl206|12U5~5={PH22dI8-6f1xEd?AKlXTiyMVW=LTkZ=`%Vc;=6h z19J2e=l0#-V?aA4&^Ge;Z1R-O2Z~;ez!Dvtigpf>-HptwN{%yi3yi`UIw2T#pxy6` z_g_}wZ0;D|quS&g2|mC4;ze|!3$!~CPAl+x-wU58K#t#;{!(HZX^1s~pK~vIN*(=S z^fe=vzD)Cqh{E~LXB2SxHrn~xG}GK;{U$dm`Mq*YOl8mEw9U}17Z>N}Ha7>ejmWvr zJ%?%tQEcZ;)zpX06u|Tn?APJG&HH8Pa^{mbwi2amqyuwePzaE6Cj54qr$V8?IU_Z7 zl&xW|Q1Umd`sfy-1W|aBctOP%0Dtyy$wnuw9mT;h(o?m-Y4GlMe@CsdMD{1@PX_Eb z6-dg|u&muIg#Qjq`;1mJ{ZtdI+#0wvoJCVYFQiBmKRiYS)D1dXkk*9_44epA!YlnF z>qui`Z|Wd&Y#7^z^EgkdSX5^xSsK^}&;Wrsy~8)Z(HLyLyI;ea%gZW9T(MlHgs;`0 zC8%6YeX(t?83pL(;&8cBVnY^(kt*WCdXkZ>Ehrhr57;BA_kORV;v?FVoAO?5dq$7^ zu&qkR35oE?+3bFu_e`EvC%ftgZEJzfzwQmB+ZmF?@`p$QvZ{W7#(BccG)Q^KdJrxY zZia>6%Q{Y!F_sQU^!s8$?}G&uu?0bT!h`*-rMDw7l|%~T8Sjn6v`J7}Dfnb*68@0g zXby|ov|szietq{*V(5tWd=MvyzSn*y0}5prIs0%rb>-c^!w|g=$=-^=KxL9Y{q*U% zLANQ`v<^u%#GzCv7=bD#`WWpC2iBM?P~gvEp;Tv2Da}_twh`Rh*sbw>5^bS|OH|Y0 zUKAS+i2^>YYHY1a>6}`q9JF<{*to5Q8fNxTcW*Bk#>4xB^6+{;d~0m+nR|l*jejY_ z;_mObN=x6`nE6inP4T2eqxjxE>lD(VZ^QT78U+Y2&5~<}`~yx`n9vS8@-_KLqKrKF z-egj?WS6WWCO&X-YMd3+&9CX8)hQ04F7i0Gbb;|rwI#J_h3e3E^t7tgIYzsv+zTT65RN9N@}C(5rbmdrYPnSh9iJ^rgQRr>1TT*%NU69 z?*ToG0g4hs3;6Z_!R>U+U`A{b7YWlnrHPYk!)$N~1y+gba9-jB2_|`R@T9}3ds!m| z+myI+)Rz|+|Hu|15$GDbAzh`=l{#^po$Z~Sy^jSFEw=L6EK@4BX*f;_1RQd&DNO=> zlBQnWX5DbtuSzSpf-J^sJTdX;L9DDvN?RvOvd!qZ=~mqvIWS8`-sIMZW{YfAWxrlq zzCY<@S1iTS{z~&CCtIEHk^1l+O#ek(1k#ykAEGuN*9?oOECmh&#iC}|dI=AyD)?x$ zqt);#Yclq?G=q4kQUBmUEopk%YK%)=Np4bph8wZ9fwyq`T&jLZ6PurB3eJ+Hv6#w! zbky3MyZv`HMj-%Bup1Jm<%E-wT-<@p7s?Ugn%KE=yRCD9m#F9sG^fY6@ew| zuxWCWbW)B;X1c9Wk%rQi#EqhAJw`|5i54)_Len^8DNoVzNGj~1jTv%s8BH%ZXhhCZ z#J5)|inh+eDZ4^7SkFP}*0d+32D@XYs_E)t8=i7Ui&LZt(^Bx!M)|HZ$Wh-E!Nx4W z7A1*lV&&vXi+&nu9MavBF0AYp z8iRY;gc4mMwNijN-Z&!!jw2^bn^I~AAM5KKUEdR+&7qU%BQ^r9^HBXvPk{kWqN8Wn zKEa1lDY?@(&XXI26Jit`#?k-Hd5f6*7P(|MR&I?VkEv4=;tge2rW;j@%XhP-me^;x z*{YQDa9$hV!fGS8QP+YNoFRg-Ey#8|e=Exk-#|GqcpxUu8wpBDeGSAm{Gf-V{^ln? z{pKe)hQ9d;EScZ@q(*WR)mUz{Ph4{yX(E6onw#Jd{N^Wq4Ep4opU84!mVX4bF^9(% zs4~snnTuOrgLy__Oxg_N9A@*985o@Y`pMlFj;yoDbefE7XOY;F&=xx>ZP4ROliPSB zYQh}Avd1(S>WEyoLZW3Y7AY=B`08?a-tl7%6-QpGzLH&;XeAJO*a<_(Pd&5#5X+~^ z!KTHaON9PF74%pX(8SZ)|#|tSMunB1#p$GpSk_jBK<6*CNmKEDrB-4QHn; z!;cX!;$^CUhj=7$^04erX}1V(Y^E2rzITcz^i8gqZQ>jZ8PD*%T@_l%2d3&eNfq`v zCc-x39CxODh)Ee*wWbY0NUms~5VSw`|Cn-BngOvEZ6*_LkbP+;$?fXTADx^Y9-i)L z;%QYC)9Gj;boxv6){__KrcJOm!0Sx1q*x;((QbrsHkG-IY4jXCAsdQ&!+jR9`>@PU zQdIejW8byj`wHgwqv+RhY(DttbpMEcJv%szV`XetAKLARc2qm83c$*Wz4xrrWtzpM zI5S^tbK$ry2lKG2C5FRJ*FbGx>^j#d7hv-IA$jOn8$0o7INaBVV= zLaVNv-lBC6N$))U^b*Nav2dZ2hQcrG!Z{hB$Y7tmLfl9GJ!<>JDn==Q-Tm{lB5Hm1 zX69izS-{G+U{sjVDBNPO8S!_AZ`ffPHupfm=Nn8e#WV~!xMZXPDZ3yK0b6Qso$&X=C4fs7b3_60V*K>a@K_Z^%6C+?~4QmhLq7 z{0Zq!N9e-tN)1;r@4x{Jk9!=!qtm*=Y9mfC6l2<|gkf+0Po6|5{`YJ6KWi^IL7Ddi ztm{Kg^!`^IOV@R8+WZ)?r{0CA9?SpewsUxPim;Z`Ve_$-7HQz(7Q$iKCv{zvGX`>)igTBsEW)j#b8nTeK@xjHM`OM44qA+W$dRJbF!;y2OF z9>JQQ-HMCT5W(I{^@!(qjGJsiTc`G#JWrOZ1$5!ZW%}k#hCb^OAs^cjIu8N;sARVE z&0AAS3SpZ(9VGN|5VaBInj@sCCWtgwZ~rz_k!oF9V_2}b7wyo7PmAEOT@KIAFy1lR zZ^`yEWFpN7DtlIW*zgd5DxjfcsPtYJhV(A*-mU1WBTlWMlZ%1NU$~JsmqghKXESSS z%=S($x8TQ4HW)Oqe?ssuS0n*HO^$?Tu_(!4TqI>#Y+gq@NCy}7!=U%%f%I$fX1+mS z7{Ve7453{mxylqc_;7T*x4+MXr4t!?j$1%fYIbG46cc%|$){y9T`wwOVxx;q>e>7x zqv~-#+~v3v*80)4Es*T74P6j{fMna7MaeEh-eY*E7OJyTQ>;qxY+LC#Yk<};{+U_Z ztw4`1m{!2W@476nlK?54YtmBaw!sBY*YI!Il~PO#g%y8ti+n}XWF4oLVqaO@!a|x~ zp#yLlV=_mQp~P;H-R8;WyXffbY%=MPeFZNX9qc1Xiu>UurChw<&x@S0z2MI0@vX^F zpj$CQE_z4IaYUckLfZF6hkM5)vp(9_x6*IwW;gSS>!o6G^T)U&N+m@*Ft7VmIeN_} z@WOC(AzZ*-ZUC<0%~|o>4T?{JXd7 z+f2ewPah(lBq48cGskLPV;2iZgen=jCrW|N0*~zmH*V((bCl2Q-I%jU#41fF*U%_= z{`|ws%e~7>Au3mBQrdD&nwv0i7Bx7NlauQjn&E#u_z2A2 zh-63=p@j0v2T$dud=6kpOo2D_T1?`FIU8x5sFaS$jD}v#OPb}dDHK{<>1gjY#mHbH ztL}E}GaH3W=`K_jX6`JPNj({okGC4YbryXP9iQO;obmts9OC^%+)8&XMNsu%t)0rmcHr1^%G~bz+E>-_lX-zA%*_fwX2nWB}tw@o$X|i7FDg zMCo+*4wKh%5PoNtB@+M*d4XX)Wf*RJa+PttQy><@yabXKN z8Y%W5y4Zz6l-I1Q#9(mBkn^Y8dCxxg(H)5J|uGy8?XGPwxkdK#N%4tC`Z zQ$C;D*;xh{Bv&h^0CW$Eh+5PW;RQ|vz#hN>jk>X zPT)U%ZPr#0hd21gbCSz^k5cN&X;E=Pf}aL zl<*Lm;Sr+WoH?j&$8BGOcNqSU@UCiHdztlN6(&tfnSU zv!0F1j&6(cDmv8j>^dfb#?ZEI8S@ygp*s^5DT~)3hMJmgm>uhCq^nu3)|hXDF4rY~ z&8cCnq2WCfqE^Y864@E}Hd&lIyT&BmR0bi94bCUGb|T9(R%cf(+H#~OLPpG-M+g}{ zJVZN=>GLT#fv}II@-K@7Y^ScHdlRM4E?w?$8g}ouT?N0D<1}mNL_K=jH5_2pX~qcw zxb3PD)iY@iy5aN{J%$nuw=#DzEkR7_>CQm(NfPx@R@g^|BkIKibU!m9*=cdAXE##3 zEGZd_UjpV!8sNuXr+_m}f_o(jf@4fRj$UA(|Zi}nKOFhRzdwUh!Z@B>X_@U# z!QuN-ZGMIq$sH+q!1r_7@y)JG!mk-vgz#5sNi$byns{PeRazLPo;(( z@ZIM({CFWhUKC}Xl=ySMtAb)t+Iyg{r`V{Y2t(p82XhWTmGeR^wV-46q3VFclilbD zY(#a`@Usr@Sx+thP}Ktl6x4Focasi3duYO;NsfcDU2ZUaTqVVEsv-3)8C+`cS-=F9 zjfg+BBqW+j@+3v59wyLd$*rmhGX)VAH@;PKK9qmB%L`wZ{6bwHe4;B@A=h{#^x;pV z*Lakg#OT9ZuT}kTJ^%2VpJ-LL-3ZAG?KWv!_>9=X52zJ)|EjCQ674MB^o@46`c*=q zdGrbMrGN59V;Y^HK;>xLXxB>b3J!iqGtaSrCH#ft>wTOmyxPNy7Mm(YS24+in}e&= zsPp-*D9XLRyAOt;Vr>V5AH_`)lvlV~Qu{x`Wl0Y62@0WUN+fIt5#%(Snv2DcCL$F6uvXfXs^!YC%V45dO!T%@uUh?EhL8bs2hopQv56U zzT?TIZonkk$!FnO*~{3u);!LO8O)n$tpN2|Dsk^NgvgY&T|uNLCBX9i0{tHwH$nPKd-f3VbbMDjU-* zxa6?1b;XXZpo5MSy>_OL`;O?fC}||LcjEHeFjc0HnIi~})l8a33Hc7JE^eLS-h^W_;GQQ(LZKIywswpB{Am9 z3!QIJ_zGS#XEp^w?NTTUHCtSn8@MH@1UC-nNTTKrG%zMZIj=hPMb zvm&bZm+Q8Wvu4MaJc|<3H<3+6huve7Z=nM34@fwCXzGdn`Nw@ZCy=fq=60}pS3t;X zcONdd=v!kJ2?KSL4B3TY<-RCMV4~q zol({Y>_WVG_Zh2+kp1D$9%N*jFr6`*Ck~pmRmMFa_rO*~IKC$JP>12s)#j!P`6hh1 z=UGygahbAUCwbD*37FP*nON}tAoiTMiea_BX+}tu)Y}yruvTt=c z7-P|19#l%CH6F1AW|^v`L%L~!f7_8yvdx<~D2mkxzR~P}M-Bi7WlS4ZIl5$&m6{hN z$Ec-7$)e#{Z0nms7ON_p+S!;fEt*wMdnlfu&D=VbM(U-}oBMSL=$P>CN+JpG4E2I8 zp>2fvH6RGK-W?$EP z@w4YI4HBX?Tp=MdbF!8EkLS~BX731HIwhy5r#Xj&7)3j{u!b# zr-Upp)=%Ps4)TG8+EDGBJh(G2-a=>YT0KXu3d>6>3$p3e`TAjP{rK}AzonChHuXpE zRbH{lwtSTsX)UuY%MH73x)dAl(4d}N$1J(C|DSPn8{?|u!3&bE){AXWnsg(Yweh7X zRXZ2>)X=};d zO$jf{c(E)t@Y`aE`*iX;p1KJ6x+a7Xn0PJ^pPPppj;d6O$X+j|X>=7MiNZL&M_u&X zFXg%I)uecGT;Mj#1o2gTeV^LWa`1^f{G1=&US+X>4u%5X#7T0Gs`#;2^w`!);6y@B z21KzGYmeqM&9C7=F_r3eynFi*fyX^9>a8_e(jdW11**#~Sq-^p$8OCBk>8y5n(zLb zZP}ou!ens#QnC8f`ARw2ML(3q)xu&mG~_OXX&4B>iVH#>o}C>cwdPSzBJ`E8TAdw! zvqAU({7aErDcr_&TBVLZEg&aR27+^Oq@Fc7{E{{(K*=2sA8A$|{bY*z1N!)+Eb;lK zIf%@cMe)z%XY;{BNpcE2K~+OY_ObfQbl0XzE7(b41|HyWkg|LFJjcD)qZ@h@u2it{ zxwm1d)B{F_i*_Wl3)|;M+lQ0PH<|u~TMp$1V4?3u%M@D@uQN=@nbEK*$lm;0TC~SXvKUcEG92!6wC@%|MJy6>g8;PWUvjM|3DJk28B5TT^_SRDWpr+e z`2`fytF~$ZQ0;hDPNdFOX4zV;yj1=IpAT1NRb?Fo(@BxVV4R>P^DYwNz__`INjSc; zC7~;m>xkhgiT!zNy7)_MQsQbGCl(Sa4k>->?%#ONN7U5BGoHse5{9FT{|jar>xA8= zy+jW!kM}|QJmLwPW(>O#cLM^YYyA0jRgJ zbYeeDjijvVRA|b^!N|(1R^8vbMl$^f*eXg?lekQh(yrH%4}5Di-~C}nECrqMh0|XM zqaTWn|ow+(KcrMrYij#bj6;++CxFflN-3#9XbMZ&E3%1f5geVO# z2=skvJHIC{^U@$GU{L>c)`YNj9m^R*p@F);2af(ngZ*Q$I$^(!KEZ@Mg+uSuGWKBy zaszE63R9_Fufyp?C4;35$Bt+`FZ z$FP;y!_1AunDG;c$B4N_y&Yv==ZA4LJ6C7RvoNOCz?7e6U5J3 zldMSFG%J({vBMUNA0vuqq!WV@7IQK#dvw~Jl_?BXQQ`a7-|5Dw&q3Qv7`c^0L#i7W z--#5kjT!F01+P0+*&3Q&Bl)gH1n|I-6X90Ykts`o3to^MKFJgtTGZ#SdNH=%JX1s(Cl?1Cx2HdP&P*M3 zjrRvywpyfFJWVqAuLiUTUty>yTskOckhfj!8P{J(J&bB+`6FDw`z8@$nKCKOdQ+kx z+5JQPuC2#Li^~HX3hj&O)giDC|Io%sE!2O62XtJu*c$GeHQcneauLqSi3 z?{EX_$-O-?__z6Qrbr_cRCv)uq~Gt@OM-~GkyQ`g~Dv<{Xv>W<%@dX>esn8cGs--nIW zrI(@|Ma4)D?3x3EGo~8gTEo-5(GZHTU|MaH)uCH#>%rfiVAXHG2fsH1WD}3hkLNsT z5OH=OT-wVm2PagBqD}Pgur0pH8zJC$&B77J>NJ7TraT~Sbwk-X7Nwp^?Bq+)3`dHL zNhxEurYYlb@o7F-P4k7Jl{_i6#Gm?rl^pVw8V#Fu!kC^m`0Wg2_ z-5LoH1F$R(p!z59xafo#!b6+aK;|0MZ4CBU$BCdmp0U$3o|Gwh!gZ(%v(jgia=a<$ zrBM*Edx9!Zf)_e`=y$;AEGpn=g#k?!TB+6;jmzR-dX$CFt`goVttaYf4jPwUP7+x1 zD5d_esxn>Qc6??7B-|=HM@q~x*{o}&c7grbOl;b4vjW9hVtJKh%1X}Opw7EjnVp9c zs?^I=g5G-%yXMR&nF*T zrdhhi#9zG8?ve%E0$*?8r;I!7ozb{V=WsOZ3ETmfjyR*J|B&2^^Hiy0lQ*zL{>^a)7JM>EH!I7)I1Y!8rU2E~hE;YUvZoX|4d zxZ~+9y~eCeQdoDu@Wa6TH{Wbd;$()*v&IX=X~`7XCWd%ojjk}$n6jdUH2AANx|68E zv|Uh>&E;SBeYoCN=%I*y9YNu}CL)Q1p~F`xN+h@dEz<_R`op&12A9R=CdlO|55tP&tHU2}R*--V3Gg|SQ^4_MFH27vqOkC;8O$0o7-I4S03yy6vEe3&I$O@5}DXje@A zCf@!10#BjU>(k56qJ!b_@nFaz=7R%QM@;*~ZW7*OE@4Sd6sfiZ8=v}1vjVf&Jf}ir zC(tJ%9-{AQR_JN;I?17%<-L~(^PH3Ggz3UJV>YMZ^W#^#r8Kwd7G{euWCpnziIg4F zKCvsLrt5TElyh9_?Lt&gQuxUg>$WODWy5GPlVXX)dE__EiQXnFbm&7rgyX-U4Dd^G z@8Qb8z#KJ;^{qQ3mO-dZ)&)2D&iFjyw+#|gKZV2*XnaSC{37v>8v525q2+hZn$WdIJTuraI?x%Yfd(j1g78mgx23KX`8L(^-`Dd@y zqtEcl)XqqBwu-jsoH=WtNRzf7Hf5DK8MJhwpQY3RFq>03o~hdX55dpSv?rosj^3GX zG6pL(M)9PANJet)G8bkp_Ymuf7*K@`pGfmZ!4OkqRqb^CR2l*K$}&!wvQr%v1>$2- z$BqdpFOfpUqkz^*7jBacb zS}&+nVTd+D29?M+CDUdR9!pEILr!{A7COs+O4!#0D;Y3}y{l-Y0D2!DtLW1%d(9R= zX9w{aE2~@kzoFF7_6?Dbc=R!Fw#hN|)*|3g9)q}AT;q8l+Kob*w$P(6dYnBEmng6q z_=3X&CB8RJ;m%5@lPosya6YU0#+druwh9QZkF<7bNwB28$X{?aMmi}xp_N7TI;kTI zp4UKSI4&eNnF4P#-MvT!of<3U6-|?InZ#F0vZ`T8I2j!6Mn{8_-3W{&S___$A?1D^ zmldP-O?Jgb!NkE5ll>yrOHny-u8DDzF2Q7)Vmy|4)D6M4;%J~;-6}(vo~}fFSCn4h zlo~xGtO1Qz6)>M2Tw%)BVTlxw?4M>TA?n+yo8^)hYwx*36@jFd4ENhwGTi?WTQY2I z$?!*P$*8p@qaU#)2dynR_)%JN_g}o*nvqqA4H4>b05PxeIqo1nlw@**vfSpZsiD0(sxV1AjB%h)1cOZNY%~Aoia!nkc|rC z4QwK(Q@{WD+&<}9f14~j8~aAb0lm7P-pnqMRb^e~+#3=-7Rh%mE=j05C>=Shpl^&= zC7brGA*EJz%o!WD6H>cQ`9~7E=|X%Sg`=~?2W2fnEBkljD<=girV~jIhPPq)qqr;= zO57g*gAG_Ahbfr;x8nh-smr)7*D?|=DNAWIN!v>|gCR1*7v68;}W$Qj6sHb^80Q+;I#N1ra?kgIAHxcRb9#i4EB+NwT>KX(W;5i>TE-?ux0y0_^<8)f=Alt$1B}E=pC2L;=Al}EGhkDFkHbfdIzv{`5>3lyqX%2JBwczeCPv$$7Xpif1vS~3g?V-=LNXChM zeeRC|oj4q%M?Drl;i_Kw0qKD{i2S)A{DSlwk!|R-oXLI#w$bd%+?2j?s%5){C1>L< zw2v}Ai-`O;fi4Z}Pg6K+PLJxVw}?Ak{*nkCi2Sj2I52i}WwFjxB5Z$pGU zyyQyWQjW_pn3OVUG?QHA0(V5z#eOxXQ7*n61bVew)AMhwX*kwSDo8h0VPvI_3V~I_ zJY$lXST??lka{F$yrJU-agx<1MBci z(sUW^q19+R>Xf0smT2olpOaM(+JF5*cq%3kBTF^uz{5m_FkNT{zBD?K<}2V(AD((Y z1x)XZz&>G{JPf@wTxh}6L~y6CKN>nvYnreq6is6AM}wvDofR8$ER>{6DsS1PB9DaF zf0am!UgVU>Rca(4q655cY!%J*6-UNkPHMw<72^$ZhLZJK>a7qzetr~|F?2~6NAw6L zehZ|7!bjBYhB2a!eJ|0ilE7mjog{-)sfQ|{Hr2!l5?*;42?8Jba!#U$^psB3J1VTC zCXL@=blgHe^jL(5Bh{3z4J~0Eb!wPiiBrkHvt{I-lmK0HjLm`P8Jm(>^lCcoauR}M z_wnl&1=aj+$Q1VVEq@Zeon_<{I1Ijok+(`IZW_wyS&3=p4ycV1G}FLPGcJab73jr1_Gv_WJ7_75|#UB%jM7)=Zl$-z_eT$)rZ61GsJ_p zzEC-;2jb1WPN7O2c|xISi?R&KV9K(4S6b--YO%@@l z7g?qJy9rHUVs?@OGtu1Qp>oDHn0~9Ut7cZ6hBfV~xUu%oGs@m$i?>T@zXqwAnLxP# znLxP{rX8V$`HzDUdBeUYn5i}8>_4LGQ#z+Qz8@&U`PgvL6Zy|J@6T+HGKP#~P^`Es zSamh#4Iy9W&oBe2qIu57huEhIZ;v)58yEE{R3UQdtmSfK&t07iwey6WI!CzGDxsLw zOAx}{y!O9$G8qMwL=BCR{m#V^_W>}kgMU2gF*kMiLRJzq{lOE=Rq*K}kP#eN&Bium zee&az2q$!Vi|kh<7i-+Djn!%tQ^@aROZV6?Rx{1>y0xoigoWOZ*yJ2Esx<+}{73Uf z5oJw-A9Ov!H6W)nQ1_T|WRuvf$k`CDvqZhMHGXS~7 zDUn%L8SxqkvB{SJ=BZnh#m0HlY0@Y%9q~IIQ#0&%<*NfD-hLwmeaC2Wp_|MFnLv_peKFfwnwt~!uWFtl{owPYVOfDyG(|*yiIPV6|8kPM3I8p!5Dw$L}Jt^+vb4zYr0u$L7M3wh$ zhpe6*@Ys#$LAWnHHGda=+U9u0V*xum6 zRUbEU*~R6_@+V3)!3SZ${GFgWy#jBPKI5Z_>X>AT%fGOWJcp7|?BkLS0WHb?z z4DL|W21}SV&?Ug|)-$%6OI1^#SoFSBo^Fs^?iClvQDAQ`iQsVT(CMf`sc1Yyand51 zQR6!%mV+0Q3N|iu z2Q;=Z`=j|EFaLKOdVo97#S&oaYU2WQ01f-&9%qm@9E_Zd{uplT339TtjghnEfB4wR z(#!~8WNYsXU;;(R#L~(DBiGc)2$Wy0P8MeWd*}V< zoPPuE;A(6G%2y{d8>2s#Isd;!{9hC3zajh^f#yIbXBSYGfWm8UXZly=f}}hAkt_dK zp8c~9|1r)8G~~aH{73zPv~@FcrvI;5Nd+2C^&dHDWM>C71NqnnRH%P&tc_eOZOlN# zVC>{+WaskF%miIG`&$9k|5c^_J>y>#`G48$i(3xuO$K22+q3p=W==*nHUKjRP|ccx zs>{{Z*v#qgVg+#y@Q+=8XvhR)B#6-du#&TxqbrDYfFM?~cQXCY;eUfr13{DoO8$TF z+keRV`|>|!{3+`{tOWuzadmP60fK;yK+FO7uk&4iE;j#>Z1(2nK$Aa$|N8cCJzdOf z%-n#^e~RI6A=H1^@E;2NgZ}=aioebNSC0Lg9sdUz{n70I0_W}obaD9;xc@7C{JCo8 z^e=?>PXsCuXPGzw9b5qaqM5xD&;n=&vIevQ08Bx2_P2h2-UHnKtQ-HTgga=>`9~%i zJJ}nVnizp{_b;@6vi?8J{g=Wv0fqE$NLM=`C~5#B8wX1xPy|4cH30xk|AY~=oH>D( zE0BZ!qTv4|78ekCT7!cA*J|SG3~&RQxtoEOHfmd-jSa}zG=F3NXV&~Zqs74gFTmxogB<_jav0_@SEu4)?YQ*IhdZVzS|IXAQ{tSqdj zqT>5M4zfmtEzIEIe;|t2GgS55LZV)Sg~KvJ`~)8n9_D4RuSLfe*400!GJ&Uv-|l#; zxrrO*EwSS3AI+&wM7#NJ&^>nb;!E;6X#YBB5WSh{e@*cHrslO&ww#175_F&nZA4^o z4wm)v6AIFM-LhZ?2?2arFqKEGUCNlE;Ur8@#8 z0d@?wz!EGD=9phFOAO!>MU{lA0=IW^44#iVHzibEaB?Mmtu?-iQZFxF349@yPUe1e?2X z)j=3mrrcMNn{uG14Gj1xub8kd%5rq^HG*$ZNAL_z}(k=ixGgjE*ymiOMbL@pGug%vaNj91sv;{)sr#iE;MmiN zw{?>v(uYdZCNk<}4L?PRW$!EA(OVxbH{|OMdj5hbPBRDO$dB!F7YWEkb$dQiWXQ_T zt76MlcgXr1D%h!?*qEtt(Uqc9vU$EV{K{3)m@eMc0r^uiUwinDKfmEiZkoOjBwr?;0!AOu2!A zE87)gm$6P8WYOyLCNKAb(W@S-BF<()cxH`gP`ZDSW05m2IF`y9y2Jf)_87OB>bq#_ zYFIHa!(DAru`S+@-TSL_POCk_NO^CCHWYhuVK-kdl|Esaqy%?y`HZ{#6g{fp$<&fb z88RQiPr6pru3Y;Bbg1po%(lf0=P%-BHm1sNGn_soy}L2D=GjSX8B30fJ?BXgY%p|N zn4ea#QlfYiTMi&1c}UJT13t-Sh9K6%2(Nx5U)p%+L1DnIg;uewTq(bUa{ElrP$`B} zaVYt@cD0z@6|*~ht}?;3UX5gOhiSFx!7cH)`qTh*@ung_WTEiU;c509vyVLWFg0dAMp=vu+uS^U^?Nax$qx$5 z_%#tzP_MNcfiUG}r&9{dJU(0yLw-St&7jGO@>t#@4hL8~@v*5B<=`b7Xg@eRuB44ZEpK`N62{KHJA#ok%N08+p(3x_^VG0u_~T&a%U07Qeohs`O^qlt13O)H+h!P zQyU_q|FGhXYdP)a>$w06O62b{qLXJlpf64IsFE(A15nrR>gb~Qi;-8>;J*rQ-D_hf z?Y(aw8hsAQBom8>hYk)-%`8p=1~q7YYq;-^Kgi$ZrcugLsYlB4ffeH`)au!&`t`AE zG(XCO`t&woGoia`yE39OT?`HG$pZ)l^q~yg*t>*IhdEy!{*E!1V35*u5xLQU!_-tJ zTkOGdX_M?_uMxc8)xjo(Ws8s1U#0Yu+*J{IZ6blgy(!Y5L#Ck6P$DNy8EB%|CQeP0`nVL#_Xt1IYF%2n?ywEA_xSaeE)38jN-Fmz46}8V)+Z=~OgdEPszKoQcc}E+>r?8HtZ@~1R#@JeCH~HnvfClq zz)n~_!7_tYrIZ)ezIaCZkbr8IAZ0Vq>ZgfP3z4=?KXbKx`txYB<)G&1S7ROabkIC) zSCC{5{Ftr+? z?N*Q&h8y$Cs%;rY_X|?Hy5Ff)X@8<2HeBw(M@9g&QMyr=rVYfumn+1P(BOCzWnU*<&9lIT4 zH8Yxfh>uV6{#L687ULzw>m=&wxMN8@wTf(W(4()0dK-#|ad%&JW&FbY?HTDmZd29R zRae+buT_jit>i#0ddeelfg?A8Z)trxlUpnSe`+X_xz5lEb?s8M>ITK%IL7&9ZXe7Z zw~@Q=9hqlem^O?_3utem)o{+QdTvr$idJ=KeMcvdmng~PL7qK>-WOrA$I3AH{>-Nv z{Ya^}!?2lKHT*DojXO${XB6m(d?G`<@1~Vpgt~TT1b{cgvSR(aNC9& z_kqkiv25iVspj6gvIA!lc>5pUf%}ra@;7lekohwP1Q=-7~Uv|qab`Dv64?-nhhmvt&oSyP%yY={NstUl6Mq1lLZYDpb)9yooDT@BBcHu!RD6`=vXt(D(EsL~PES zAnEJQ(gKV7GIoTos@KBFrg$EuEcS{nVh*^uyR8*DYu~14D>5FmrH-U|ceYH+kaGG~ z--9S-uZ+Y{w4HX0lKO2&c8^Ee(9wiqGZu8upBm%Mgzf?nlBW^DZKFax8@J~2UOqXQ zdY6Lvacc-OMT5;}wN0dww0JlDW{Ko5%MhBINxPzM5_dO?s_D`GVf3GN_E^JN)U!b4Zc4QBRp~#<%dI>GGBRoR*0ccVd{D>e8R;3Kj^1)t^m&%>pU%=Xw zJX}lAGhP`p^|;WsxMn*n$`5{&50dkgEb?ecGo;?@klOoeY9dicZb+E+4_rhSIpA_A z9E3w!;_IO>rUPG{4cwQ@{b^g$G3sMSwp*z0B?4UB8&`=1D&41h=%LURC)7&w9uH*_ z%~a988`p!MN2hyGgS`gG4Ezql<>zo?RK+$KQLu*v*0cfOp6Nt}wm5CRLp@j1L0+kF z$TDDC>&8X{uH09*SX1gQ#72$=n0HX%_?9PbY>qTI*t8kmKZDWm3l+g(+MtUaM{(m_ zvpAwW!pcp7yx7*X%gRZpgh%TG15k2DNZ8;v+|b}s*OnA%HE(WeEFW_F=A3@_RVOQn z|0L7%f)Oi9oVHlZX8k6ygcI)aLi77>4bju2b!|dFsz(NgWwJ@@*lJk)#w(aXzbKQK ze(B^gL~Df`U7bxqveKQ27b5Z2C&ehC@o2ex-ubl zT8W|-3+P&JkjiyK_W^V;?9FZWOLh5(7fEp{2#v|8xL0p;SF5x;7KeEP3)%_iZksA7 zbNw?W_I1#|H+>&R?_io*5r3*l*owyKyCdeA!<>3D>%169+K!>UdhptjHR5SUZc&pB zyRUF{!9<=Q&DhbMo>TvN*+*4yqP>NyM+UAd3TpZ`Td631Q}HmB+24Qiby>1w(x}GE znNdgFo*JFchXpy)SY(OOPgj{F>@9Qj*Y@`D^|gbg2+citP-0UChK_JFJ!d;YZC1+U zrKS2A?Yejya^!6@`N0gh_ zcX873=5M)a1ep(xHRgNB^J9NSfAEPmX6Xh?_w^o1m{e@tAV8M(?AjvM*|!xrKilQwIHL3I$i! zH|6~%v?zanbN@OwRSCGA%&_nxJ6xjs|NBd+2=qo!#z4g~b#FNybs_ca8qfb9@ z4Lc+j6?T%VQ_Z(->j;LGg#B=ndv6YTs|*S~b5tG9_cq@YPR`Y-f;!w~ln|48$^-1Q z2{b8bdwT2RT8+D765*`nlusuqdy~b^jsZa!W|q0xlm&o&&k9Z0h{9SSBxG$0csK;a zuVL6)N=a%shu^-HtJy?eX%LDm(#j0?$yu1ZLztiwudIE4%faHk3$+!vMp2C^S8qL1 zRNQwb4q7-#5H&d2uK4Eg32VskO%&X6{%duR6Jd=5eP#)f@Ez}?5CZu3 zXXS?A1rye`xX_dP-rVEm)3`FEO3w|cZSzcEQH4Z|LM+PU^IX&ll<8J4)_Ktv9Bxw` zv&Re<#&M=5S@1)qfQ#j(Yo}2W&2?Q0W} zaXD~pAsY>KbK@8FU9E|z8UJQW_v5)5iFJYM1 zq;radfbC|n+O+-~yh=vda_x!r%lSk?{1HvuSi(}k=Sow2`~@mG?k7gwIf4VSB>2zJ zTbKt6)XGa~zB{Uz9dQz-=6D6i!={z=n@+4yA_VkVj4c;mYCkk^T#aOZ(CMSqPzOYzmq7oJRawH{xx86dGbp#gvcuB;X^!%FG!QM@o(wj?66QrOwq`(ur@HW9un$2N2`?J(}o_=2B zIVg5@8WL`bJ0-SOBZj179T>d#-cD-%)BvKM4{z6I8NIg5+XnvNbmy=O?Sb2UerVxD z9>lTuJsL^o+t8@@LtvYJ!XH|R2@)e&ao+S-0=z1bs@HNJ`*jj^s;$?%h zPpJQ-$H^NbZ@WKNHdmb&afsqdiaF-{&KU1V1Q*Buggnx~^q#IMb(nc3I6mc)q3U*aY*g|T-(@B0iK}S!jKN+p{%>hI1f#`El1*@e;=!*-|eltIMGil}H^ zZC3s5w&3;2IH^U$-ukMmq*r<7h;0tN=2{IS@g}Qr+&x?Qk$;_esjb@q;0R>NB+S&lC zf|fk_Me+a%B$>QBO;@i+HEZ#Kyk{9NMO+&qwJ7!jCM0h(6YVj(maLXXFMbKL-H?#d zokDH~83ZKM4L-4HgfMGB+IQJLS(SUZFKr_<`(fJz6eZ6`I9Dki%+6WNpMRY?ro_0q z=agOY(%eE5nlyrXjr%>C4tL{Eoz?c{1j#4a`X0f{zL9)yfrV1pa|&iT+2~1SPB!&? zWzcHaDkGuxFdtB@vA`?enDKHJ{v3Z|Xh~ASpy0pl)0Bq;KJ`1-Ds`9pMNOyqhFgDN z<{`wvC#S_ip|KD-F=_B|kU`^PT9Qp{x?n)Q3{k+^oGC`p z%c5M^1k}>pXD=}fxHAX%j+e`c*o6@Yj!%nQD=xlJzVb}nws%4>!324+>HzDiMcgKz zr4$Y5Q8iKKxs~J8U)e2o_PRlaju@n{aHZAmHkTJ$UR#Em{s=h2^=j_Y6&+SwP)h&Fh#J6|E+{I%DeJ^NyY6WUF>dj52kPBiv?8++)Q6zx#FcC`8Xw?e&ny zwt`?!Tp@{QmJ0+MdR?g1twb$saws?-!_~^JwG*uQ6$;8i=sKVOuRVCDD z&SGE7k$;cgyNeo9W=yd{<+@HC>GfAfkpa5=F;e4i@a;2uB>$W#M&X3BKa4rmTWlX=kZ*pQu(V~fEA=hm#LVVFl`}PD$KV3N!9qsd3 zL*sTwHz%GqT8A5|utfN|4hbBI?MV`tUPy^-*bJJ-7O#^IXLcwN&W@WpRrA*Rx~F%C zNe4N27)wI^usg^5CD%lWGMnbDEvaai>owqMJzae;B!(m``zPn*>P4gQVLcd)@KZQB zKRzm!)#icrIx*W56J~$QA^G;{IK24c(ZA5_B!oCr%HtB#anI4Z7B;&y6>@;zZd)ck zR4|D;Gdd-=G+`7dsNM=Y2lb0%NfQoM$w#AEglhiSGrV`tj_9#eM4QMh@=eV}6PCJB z!#-RzWFRtoBPV%a!bjm97OOk+*Qb5i*+v!~n$=j80u8w^Qf;abj@CC&tLLFPc?|yv zW5vDgp#G?=JUwHP+RjqHDf`GeG1gwHy1vZ7ZtZ^31iGA*1j;T^+(p_7&o834KC!o{ zNfRM&GAEEkEIfnKYX zVU9wfItnSS4d|HImFVVcI{FGX+UZXqROgA){{W43r(WO+X`xG;XZ+M0^AklTDClxJ zYt8@Hn_W*8kv|R{jVeMIOw5SPyJK*yKihd8B|PRL-J(g3CU!1@+YKS9Cn5Pho{X(Z zw{-}nU`K*CR_W^Xwv5T6b+GFaW0cM1_TkD)@9a0_MPt2~Uh$mV_;Bv%9j@?zMkAc|MYs z(-7)_pc=wqs5~yoZ~P5mL`4e0Bm8*h=pffi2d+qWN`^l#vH&Lrv%-$uSR;~bpMX9k zs+Wi_ai;~{6?xQN$4LP(RQB~dQ=1Y!0g>3OGr)+{ztKjBL^Oen|?G4jJD)lMnWMIX|)c8WPRgfXU~Z@>7ozwar_vijL8+Ps2R z`3fO8)D}-#Q)8o-i?6MdHx^}b@^nG*%Xc$t@UXd=uZLfSj>(oGrk zi5{`V1kX#R_0zIuNDfyn?#2_Ai3v{*_l2SSaqz}fqj+KDt3a-HWoRuk9Zf0rtjTgq zNP3&!rqL4fZg$$<{*S@A8Z#ph#zQ%@ECYT~?f^I5__ZM@ae`J;F!*z-F{Sy^?tJr9 zs}lMZsNQ$^AI(M>o7Hz|a->P+(@Izi;V>0inLyw#IPIUh0EYVr1zZAOg&q#gSPxenN&e?`oj0Q758tR$8iuW zuhmu>Dt9aQ<|wd5@#kEPp@X+^ze%}fE9wDZ>(=ab5*CsdZr^C?4euebOgiwyyKKRsB8-gZUfT1OsggpfPL zF*4Ttw@QgfmOG^XJK+<8g?)N^x27CffMcDj$#l{2EQK>&jkKQAh^?ZAY^-rC3QR@K z3RhpllcvxaMS1szG=?pl1jk_0b*ORZ3-d5)m>%}{5=j@K*p$FqS2JCgHk#M`q+)^d zuq2_uG*x*{8CC_AwxLmVK<=wI(x=k%v(ZS;1~Tv}=N~Rn1&)tx%69K%s5WcD)Ds%^ zuYvHxKKS-JNa8)F{eeT zdc~Nwd<`TpFEeSWw`i@?h&HV2s$=uNjkv3)c`2vBXWgin{tB&Pj*OL`mk}zl?@&(#t7iVT}Ru05I!P;=fr7Y137^s&Ip!g3E zo4l?t&vb8fJ0-MrB2mq*QH4eN^mF@Z!5XwQ%aDE@qYCy8Q*4vc{ULS1h@zb(?*z3% zK-egpACE>~n_$+{AZK~-?YNUF1iP1HJD%Rkqs4c@&-&xmdX;LU@<>Nw>pI_uitGWi z+_%7w*)s0LI8BP3@cFWgt%5M_$Ru@LQ{0&aCOz*$pS+*34UhvdV`&XLV;qKXMn#Wu zPg5Jz7@8qnEf}!<3yeoEY7Q7xQ9G9T`_Ga2T}3`vH`x;z?S^4nLmrSvW_pPYUF*?) z0$$PwLB0GH z;FAbH%p0v|z+2{gl8vKFG+2%aRYH;xYwKs?z6~Kdlj)6#@2Ini_g9H<_iBtkGP*IsL34pyK~uQ%D(Z}i#{SthT~wz{1p6CHG(*g!`wj|aK9kN5 z#8XY+alzxfYwbjJyelKRa4(ULEcWKRzsN8kL^g($ix1LBtWHn-3L-|I%%OP8h=cW% z=YOl=!s&g(CfP-wf?DO7Gwxmx$`2$~WQ*Iy{SoJI6N4i+`AUivjuW$dJU=oj3QuXP>ufr$n~XL5wTQ0+r=``i=x zHM_QbtbSpD_fFb?urs8JH%{jZdWoz=V;99jtUcG;Um#ZQjWMJslKLE ziB9CmtY&86C?jJC_;dVT&yR>2tM^b7g-yb_^;s@i(1w?Cqi)@*`*_!u`r#L@{SfQN z=J)=ms~iG90ik!>N(r7qX{i=0#c-ZfTg#?Z^|WeNE2@|)jHrv}++5@`kzAXjkM~Y9 z9qGd)Zii&3xMfXbT~vch8lR9~!~jhPzC7oaORW&^u8^2FRo9UgaLIgjA7e6%SeQ<$$Byj8cpL9iIWpJ!f6~Hw2-5Mo4D* zLK#yN-2%9Gu7-QwqNhr+v*{rV4#y3edMX)M*44=pv(!`N-=P00k~B}3uA3_6L=tRH zYNB-0hS7v=$UB>E??F1A9TH>Wv#fDfY54v8v{Qmg(mlECYFLn&CpTn z0CQrN24;~@nqQn^u0HNcZV=Zof5l+&uak$As0JQ>CiYBs;3<`=Mp&$_zBP6WE%q5u zV{A6S;$03LnI{}(fY}F&MDa}XWidU?JaBM_kMGh{M_eD+YMLONbd#HwHa6cK zqBn0zU|}IGg>RTItDD^V%E#e#PS1(xL|^s^uHO251OU-bRy&E!P%S{Nw4qF&jgXwD z!AJ}HSP-IO3xys3HmTY1vg#gl5=t-Z$j{OEn{U$KL*NfDIb}E9}}38!as**05!XwG%U&aH@6Q3omsnF&Yf@7`M*@)61EL?oADNaN<6BFjOE zvl!f_i(SdfQ(1i3_$l9^od+1p!s`h)P2+yMsk7`c|!X#(cso8 zqxWN0Z*6oIlz$?~{7AHyLb+7iq=H-QiOv_>qD{$%YMM!oXBGLvE$+h3n%W?4V>aJ=DV-9{TyuM4%Iy^9b(KY z`-$I5OMf28y zC5RH|u~SDn2z1uc$swu}c`M)k%Mz}SMrP{>8O0(`U7G^Y7yhE`1M9U96Ptb?u3wv@ zxno~ih_dKuy*c;I{Vg0^47+&Pcoee1)nCgnGFAn6v;v>pmPyyIkUr;CbrAI$?8w;h z1NJwYdAo|RviVh=MA;N@BFPdOy=Lzbce(18EBJYfn|s;6w2czakW}kDnJpJtyXGws zIljCGWB-(bJ$SPtP7-9(2!K8~OFr5{IEC6&cUTrQq-Ut}t_>je$kk!w?ay?qT7doy4x4IXwo6t zqTqpg9rrQ=aF`U7^|Iy<(}C&LZxky=p$qnx7vC`G)|9J<6l}a<=;SHQ2WVB$13eUt zlUdb^nn1m!-QxjP7KOx0Q%_C}D!Qpr%O6oB$K1GgWirZ)D9V=r9jKIV5xe z!0D$vPBc>RaAqRx;g5>Iv3RMwP-;FpPQ-K)NtwQPDHVnQ`PjyMSauXzloeh@oMFYg zxZM0?Mw7L!00V2dmV{6zp;5^mOgwV66b+xm!c0+VM7_S#Chb+ss%wwwEWE>>Ik|*R zRDCjQQZ4#S!tB67&i;gI>1Q!^*+feHFjp*~m3X1`1i`#ILpzFdUU@sR@e(?9Bdi4e z;FN7D*23x0aUL8$;>#Ju`QZp@6!y7@O}<{MExuAQl)Pa!WBjeEc5P%0vm{=-U+_G9 z%hrsv>5t0YM`WTk?BGz06Qkpwdq44GFq$a(l|mnkRXqdOTl9av5@Rh@G-h$m62 z87`aMrJyCD)&X9=%F^h9u4i>Eu;$3jXYPfods+i*&GkhZ;H=;dUI_uyFb(x-OMV%e zXox3py%x`6q_YO$LEPm-!-MZL_QD04aQ%=|`&&P%jl&Yv1z6F@!NJb6laqw#(wyJB zGU~IykN)EU2AZbNVKSr}hSP6`7PxZ-$6u~yUrBe@qg!92j=w1EWztdg&ZYVVQSGgU zis!p;@2ZyfgLMp#_eXUMZJqGujCZb{`3O}SxrO@01{WmeZG^C-=eN(S!9Bfb`~8o$b0^x+qXB{)VfO~dB$aN;j^HYx*{w`A}ra*^?{Uo%+|H>@#Rjr)vQ($k1Kr9MF zg@OLQ$(S>{{cs_a1$ooR!;ODY0XFEV#om^K>%tHpN{vzeTG$z9l2P23MU{RsQZ#~K zRM_V*+m`q1^WKq@uXU5N-!hPbVm`bmii;A?3huEgb`iS7O1QI$4qFXAviVw2zrZtd zok$W)P%+DWYEkMCEi8E9;Oc5j)@dmEeIS22k!_8K`3OH)a8;-%ghaI}=gP=V)lYSg zErTGasrNCSuT8yG?Yuulw>=-_#@_4us;yuQn!x!}xP*ZwuYTp$d?=nTnOWX_ziVZN z)8iz}@i`I7^olR+U#}M{FFY7@v(Qv^6dz^g{J7|RcD5h@W+6pq!|S=>4p3vKl6)U0 zFzVlt!iNNo;L<$Yil9kt>_4~}yHaJH0-5;jk(L}iMvh-=7|Il=!nTjq1St04&7}QC zgt(l9(Tj4kKSF9Dx(@jxY(T#4S3n>q|L{AM3)+oN0jmEgesU9>Bzdz54GP9hHABmxG$O%Dt`sK6DG4N57aWU z??T~DsFM1N4dh>Q5)<{0tW(MkomEl`R;Qca5TJjxQy1=kKM(#a=Sf0iA1~4uGw)!G z8Iu;~2QF=QTzE^iM(I3`YYvT%O7OIK(1#RRd~vJT2zPpSFUVUdZh(-mNuBw_`N%}5 zcK0j;rKToH?(5HV-fJrI_S{M{m3kN%tsZn0r^;-#kcbgU(5{M61|@aiOYi^~vuIuB za~xw=ASR1t6Tu8bRSHIkV1V-e+p6eLF_Y=!A?c&coR>`rWnL78us5tIjH_);?yJ%H zEs|$1LyCA~RR0)EN|~(5CG{Fz0}))={{c%tw7+s&d&rzi$z}c50)+pD?a1CrUw^Bk znZ(f1oyo|HV-k}pYH3-=6-24)ki=POSaJ)huV89X(wKwXZuSo-D*nKC2BfjKJjg$h zvUFfIq7DAEL)bdbD~?E%P_OZDpcR3EL{O%c15x6noG2Cy#;z)Y4hd-N*dnkOPl+s2 zJ|E~M&=SLh`F3|`tt-H#<#g#Y3A+TobL3Zc!FrS`iL}s0P?`h}4((naA++J`rA=HV zBGBO4EeXaOy@Ev>Q>4@FKl58E4y8<|O^7x&jy_NG=5=JhvllpR4L#g!$k|nFlKiHu z<@$YnaW+0XQIQsmKqFwM^8WD)5mInLe+gmoAo^DE28v{j30kRhgAwDED53CJ-z}`r zYPBE!eg5F^L!;_eQa35u@-@B!GB1%lOY+;ex25>_*P@*;(7g?%=f4&$g~eIUj*oiU zDsTK+w05=G#63;@^u^89%Gz!#src=_wGERHV^`_=?J-qB8I;2!P6g6!Ksw@xau>o6^Qy`yQbe=Ww4a1lK% zeT>h4En2!hySVCUC_etxxAXR2{>>iV0V8O5_?6fpy%6!*2RAMEB-UdVf#ZSbc}2rQ zW3L;wlTW}%1j$YGin6N?=%S9-X`cg2F;&6;Jj@*bRdj&ZUhMS^T37}d|A8+Joh))A zhT$syB$;pRNQ=&q?&0DxIw5S|T0SmJ!d-$M80){!(PnA@;nbVBe9P()HfR zs|@Gsa*|=xLNsHG7$$i+IGS|&%CLQcx8mjzOWPehXYxqkE}ee6R~R<}%{sUka%^a; zl_Sipn&Jf$-}HIc_8HNjr_G6FqZj%cZ8zug{th<-whj_@Zc5_4p zgNH1X(?}IA1NAst#7OF#6r<>ixFRy=-P}O^`I=l1ELArk?H<30xRFiixEEWg?0vtY zIj6C~B{n#koL=m~W7LuF35IKd*~J_esA(;K)!Rfx*Cw6!Vx$*IS;l1=T~CgxJz80B zODl8OJPBa2kh@cdBI8|2aamHRc$JC_SNEX`-nSysU@%B&N4`SwXKb9J)mpolNHiFkF= z9KG-HOjyQAhTDn*mv--d4{?ax^xCDTun&eRC1FRr1}<>3R3gVfQC!CoglG^l;mFJ0 zu7*}YfnDN>zaaMN__2HFgn>7tZ!z zLMdWUyk{-_g<7?{&*vDOncuU{P*HY2Rf;YxKgLB`VaUzS`dXiUtv>BapxNDYWwfJ~ z$8b=Aj7eU9Y^cerC;^vkl40D+Alg^z$m*bxQ35<|{sCL?SwFCB--Fh{7RXa(JMRnu ziXRSOz12F?b(FbPQiz5~{Ps`S%gK#{s{=$JSD0eMIhq#uVM{b|YBE$8@z$fWak6rC zy2dT`3oWI`%NS`rGt zxFZ<)QPgQFXM>VlG*7Zw_=0 zFO<7>C2sdP9b42wPh7lCXI2HvT2+);5`!Kyg1afq`LY)`xPv_ZCrAOmNfI(eekP}J zAj-vExcGseJcC<0IT}Uhqv&MVMxwWp&UD8E!hWoU2LFO00x#}0hcI;@AtHSs6Hq9K zx7D6p zMU$I{ls-;7(weZF=mgC==PKyS9e}(reclJUO%|kahy4imv|`ralOC39QP#YGl~I;# z+-mv8*KrE+T$+i@Bj#zSFgEud{Y6LjzZC*3#MM>eoVbQa$G@JD%MTj){r3a==)|kx z@Wf|lut_Se6P5dkM1??PX6?3wqcfSGz$MC38fNWV=k>U(QldnWDA-aZ6}*ni7N^`5 zoFp)G7>>D#E_B#~mR%Wm6-?~`O9m5~Dr}a`$6+UEEFEGX#E4mumX$-XauvlBDb8=l zER0gHpZB#u)q>%`sNox;kVIv@@2KHpc|N{@k#?#Ob0Sa6v(G+yOg2W6J{{Kd)avCT zoyO>!L8PGS=Iu{8T9*Td8>OsMhA|ZA12M$04un=Py(HPd@j*7H8A?4;n!kMKbVr-j zq;N%qyRl5_H-{4yJAji_1S*H* z?vblTwL?c$@6h{AusESNRlv9%CEf}V4{$FB$QrHia6TQMAjJ=e#81;|=Jut^FzvL6Hw#v7Hzms`V5}ZqXbB|fymWT!BdddSCQ?G>;be5!6_S;YN7p%Y3-m4QZ6Ioey|9;!psz?go99OJbYz5Mc1RE z1sYk`pzsG7(kSdnE;%F_te=N?i0+zeMv;f|aPE!BJAuzWF?L9Elxmo(Q1>!$ z(Bv9YiA~MbJwh`_o+oO;My@ho@mqjYOBw@A#H;!m6s4$+XIU|gbImf6We9Y&Xhs~? zkO1e1ZlaM0+*C*U^4~6A!K$sVRb6ZxG$~tEFRV&DB_7&5j(*@?{z5YXsUP&Z7dw?T zBxZeJ2}c(?ogc=+9bDaT;%QzxRJK7n5RQY-_VZGQ%F!R#Q|cc0SR6?J{j@jA?=OWX|owWFJOV6-8qj4`R@thhwz^0X#vY0 zu?eC-i*eGkT?LrPm7OeTLH5eF_{e#HbftzXz;U*<^3((YVOG5)zUo*tS1K0& z#KCMHS!bv?@)XOuYM~l&v$PW0VEdN{;}sJ`EFIx>lPX{Rw{9{no3Zf6CWj27en}a18SlIR z_TMAv%EK52GgJ0~4d1Pzin3kZ)@&PO{KAEr|V{xQ7%!WGAT(3YrEnf39hL})8fq0k^XyoJr z>eC{icvOmE9Oj+Wxh*PeN7Ih z$eL3caBAscJMRvs+i@T(>^(z5G_`dA~xrB!M zVG%!j`DJu*b~w>aMw5pN@8rM7c5;WvBg92*@p%M~@y|Ye`S>v%E<$b8CXDd&4iTY8 zUrt_0mJujw9fMj|?~x*TP{|dI0CD;#P+FC~N$#05*V7EsRTalzpW=AG$sB<)2$nkPph1Jl{a&#xS?fu2)A+ooG9e~`V=JGofA`acP@^fp zDnv)hscTK$9rPmpV{%xp_Tt}J7MThZ3m>(nt$k^PI(T#LmK&Q-Lo2%_&jJj_OqPly zZmSTdFV;`Fvm^;e^i08T=;ulFAwNG-|2U3*B1tx6abmAq6IWYH)z06rL0^;hLi2NF z>qls4l^6zz51o+Ux-716M~R^$z#*YtX~;^oL37OQACV>`t3EI4*tKg(J1n{~ax`lT zoIb%a%a1ofjLciNTc)U|*>$PgEH6jX?&eC4HA=(sQD&~Vg1?8TB4%~qE6{hvHetB6L41OBThzGkSj8E^F*jS$_P9aQ8v3;{O$=HrVS-K( zwufQ^f1V~v5!)TOhIzxCj2XRr?xB=Qj$%UHW0dwGD$QQq$cP@GwmAheQ z?3qcZxlfDR?u(YH;(d;;G4`I3w5ipj(@3ZNoLpWqv+dswGN6lFhGe|ABRnVSvZ^bx}tR?%E*!e+YvfeP(c}27*~d% z%Q7|;j~(GVDu~qy;BhTd66Q!4Q>=LjH4rTb#qls28}6Yw%a4K~3S)JfDcZc{6(1G) zj66p4!8rOnmVXZ{8)*ht%PP)L!W*NE*DTX&pFpDA*4?zrIuIcQimJ9#V_rNKe=*7y zdBV7z1|q6kcAb_W=%;Z6Cu5E>aW!iwTCm6vXGl3t47R71Vb(+a=X+mFkTSLtJ4cj{J+UXvSIddni zq5tJQpG()wH?!z!e4Iy(%%MLJ5{&s0cTi+gq*&y!%? z7L}=MH*gL%A?a1rxYjpaB)zr)L`B+-Ls33QDx&@PNiZx#}aLOi%h#YchpONp(i9rpy&Dp61BUK)BEc|1@y zR;F#z@imH+>E207+=$5jv?QUhha%_dGR}=&>f{LbzY3-u0$np zBwvB52^GD$N~2MPXUP>TjP(ZZjZwsHzDnn?I?wwvnY0@$uh?f^m9A3|K2SC&BB$rx zFnLwpolvPwrDXClC}EP1&KwVOq=>IHx6pofX|3wocvdM6Gw>)xYk_G(ulXx)Due zYpXG*lLv>Fr+8fRzx+fYBe8&saYd{smggmabJxj2cBC1(Baoekrszx}0!!x+EuC)O zVjCB9Q|$E4xR{hK!@FJZ0c)7N0kP&`Uzs;V7#tOhd8$I8QQz?^0*k6T05lelw0(^& z5YmWj*0YFlSQVUHHc0|i`8@_vnbeJXjAVSCefBbX&V_tOg}j79p4f%7nnUO8*c`oz z_PE{5N=#-MEQ~9Z4e~u&^r`hawdNTHWnLp8!rL_DcJiBhQsj$`C`{@dbZpsY?8@Tz zP>;KU+}XB=0(Z+(;>OjnD~cl1}LN z9gK|)o~rhODq++P99q?t4&)(JguWJ0dU9|Qs^YG3(+>Qb+8zmxvq2-M>f-ACC-x z*id&anA?B*eZ#iSX+WRKziqREJJ%eEs;Lo-VycSqBZC&4m`3vir1=bAX!AxW7zSA< za3g1PCS#HJhuU4Ls?uh(EvIR48OQ=ij2Rj&S&2uPLJGDNnRPKkyx~mR%Ft}dwxUjV zbGVxl5JB&}tg=RF3jZC@c>}TgSm(=eDO>zl7q{{<8LOI&n+S2D{G$#-lm64?`MF~B z*S~70tF*z!Y36(g$=C+N-2N(geuv& zZ5-&=c&djzGiC&w+!zm{&+I@+k=gLgPN`lVM|FIaXS$++>7pQh{}4lUpv2 z4QbpwkXRWEiaMOcuMu1yREYUjM-mY6k;HxyL5TI6!t~Iw%7#I{)qDaF7xEI z*!T^bcZahDIUbJA$<=bHh`q(7$>vfhgpwQ1(D$!+{^H6`Oa`St)Mr^1Px+3tPj}Iy z=@~_8BMC%*g!Y~3AzmnI2oeF7NFL&{MC@fX3~@mqUU|bme_rIv@e6SVaj(?jN)#T1 zE8~Bvz2z8#V;KWZeK}&Z%1C?^`cLa_4fFe=v+(TjSP^QWlY$sX=JQmJD$QJx)Nz_s z)=_RzXz1N#`PYx4*;>%zVMKpd5DgyQpv~8my=%6{z3{hM%z(x@Cze1LciN)l5$-YZ zH`*w2qz4?i*E^iVptEc3ciS^SrI+X z=ftfMzlux8IU2%)$oxCoyGrWubUQ{D9y4+YpfxZ)52BA1Az)JxD}w~a<1V#*g4$O% zhDqbZ(w2=>EUJ#jXrKOV;V%VRvSRd z$mba?$=k2kQ&L!t>Q3axPm5I^J&0m$(2j#cC)oTA-YJ z3cdOYBk1hD76AnUvJPFs6xM}&)LiAJmLwTk051a8ln~VLhn59_slD4|0eo2)=2>g* z@7cMdUuEa4jS&R6nNu8gtrb7ZxMn>+mzO7EL`B*)e9wZT&9CQ9JiUVnc>3*ABZpb! zr0gVNRWEDSM##_x4(xCGn&1`;N01j`0Sw)3m*#}B1D1_PPXW7W09{3()5+Z z-9_j8SMtyTAw9)={`-(zZ18)BN;tM_IKt$AB$UK(oDTcyJHq;2nwNhZ4bYSoduafL z8Zpx@TW*j}0I2J2u69?4BlgYjy;V&oeU+TtuV{6(2(Lk9F-77PZlqVrXNU_sR}1mS zDt1Plm{gx%pt|VbuDt!nIU7S_$m9BOGx#1Ts?6W-7!H*YUkN?^7YQ7}CKwg|t(G!M zxy#&`hO}#dmv~GK*b&3h#fD&&H`3_%z#i-H1li3o=Tg6=qP#LE2JUMz8q|e$3sRwH zhhx$QV4C35dWT8Ua`Sn4%QsV)_GSSJlasxiDKQXv0~-Hck^O(KW%B%5*}IC;wqiOo zP^g+R?wO2EmJQU6JlJgwEmmm}P0m8L(3U6Hv4^(Jp>0o^UJ;}Ofgs2V^*Wu;DQGk$ zWQp;>qjJB7Z(-t<=fR*W@j-yX#b;u_>!_2kKN;c_W zT(4}Yn9~nSlx8bDlWkQ>$r*tx#FqeZAXrfW2U^S+O1!goU#L_nR(5s_SdakT#hqvz zoP&}}Y0=|y!%c>PJ6Y=zV}T&*;vi-a#1mL-1k~ch>e>)zTj)Fs1=1T&PPJtSd(IpJ zU6x;A7{G(FnRz51LFc1;En!M+WjTMWRx=?^EQ+y?d`-n>EEZaJGRSl~0JCYl;`#n4 zUd5pKo5$r*KnGeh86Z<~hFs%7HmzD{^$!&c$HkNEF_1MQw@gLoHe{6X|} z05z^8luq0@a;BX{2b|dO_RsyM2&(hViXtPC1;q$yn$5DEIZl6LPlA;#-V$>u(oN-{ zBW`hP@s!mh#l=&V7l$hOrfHAn33w7DThuS2-iz^a=&LHxyQ9=nIDTu}eoYb-u3p~P zh+7yZDxqCPnGg+^3crK=25B)~mIy$e!x1x6)YC!?H5LaMoL-u&9py_jwjazt8rmQ; zOnt>)(KqC(nt{L-&$ar^-g)lGh3oi5jsL zzA=tw0wP|=t73`9-x00nihR~1+xqPw-8AbBMNP809haL}IA`Rz;h%&$hmRY5xTGbB zM=@oYLeCn9wG`_G#>-+kSUaySvOp|gh$wy!jxb`KXU{D{SH;m34`JUng73!%Cm;>P8z{mUYX%QZg53pLGO0A*0Iao%ID=N@9I%Z{ z8{Ea0n1ioKGKpT4X+R8Ug>40w5EMTLaR>2Z2j9FT z(v!d3dCSEew4O#R=w$GG)qr4ibaWRAPb8Y4cmU^K-mEavS4WRJ21nNh$5D~yYt zptbOLc=wDj_@XUvbxQRG=+@oTp2TCDWqzx@^++_Hu4f7fJ$DT737UCNILPTgbcrio zD734l#0!vBFfzZkVEIH&VJwEHZlYy;hUfk%sQL zL4}dcyQwOe975pF~HK z<4$xlw=BSK5eRIpyJ##k zbNlDt_XDb)>*y#G!K7HeJ1lU%V_J8eL$Xw64=l7z`K1Lfo*$W8(+bDlXeGj{#Lm!f z7u-SAq7#%!!KzTF%{zC7AE9MRRomYMCaD-N4X#rmRdCj!^ssE=a=u5}PnYsbC0!$~ zwOtWd(_}%>qKHFR(*|R{BZ==nO5R4>QV~Q_iy@)Y9ie)Dba;5)Pk}}O0Zv?WPZln1 zJlw%XXw%~!aNmY|6W%%>ghEb;Zr{(A?IeGeB6O4t+`QMAMyFPnw2CjGgTsp`2{Hcj zXJeh?08Ok4)df0c;@)Yyfj?G z-p@;QW-}=Bt7^K$o;ToM>9YSzv>ohK)1tA9&0%1HtgS2f1+*CTKMp6|0m3YrdRYiH zC=5(68b%(mD3>g1Wl@!*sNZ!#cp)UIK!FEWYlnKqN)OLK<<*SY&tIoC;vmUKQIWMG z=dfy`rV$-vJunttcx$j$>^ORnL~D#;I(GSx)cJ57&!E(;b8Kh;vT2JxgN5UcKJ(*{ zySPfu3}^ulD{VI?vCEJ14$VN-%w|cVxZM5u>zfR%&TJ^E(l)fYT}6&OT_u*nAGlPR zZ0!(Mf&xu_&L9qUb=e_XLno#uUwc?ImlA_MP<|_=Qd+7X5xf}x1e(M-KurSE=CS}S za<&aBDP!$IzpPhmFZ!Q9Xh-`vNvZfK-!EX;<0@$12yNtaXTStb1qigTm@!YAd^ylM-s%C8xoIASMSRHjRbsP`M7!xn z*uUPzJ>sGNO|k+Q6H+G}G_x56^4B>zEraX82eqgLA;(MisJbfwuD|OvxuNYSVo){I zj?xMaLps6DxuV`yNGB$@dx>s^s#{p5a$#%zb=g|G0B5~R*rZv$55-P#ozDMs7W3WL zFRs|u65eYA?xxrI`H!OC#s87P`uUHl6*9w>TNudSB_fI_i&k--Y=8cvVb@w1wqd`0 z3t*%selEIUX1ft47wA7wvUcxU5fKCBHq4-GR;1p1Et=l;Nr+$WTtr7_T}{Ey_c#`` zpsaQv9}96>w%Fu<{v$8M!JZz(ieE-#wK!8V(swF!rLo)lU@%or;%sq#NtNFIRnFs) zCALN&{A$F-4!tSUX=4G8RtaX|1IZs*N>QsL-`Fay5~g6IGX(BoX5#@>BHO;<74l?- zv>=GM%Ib!RM%U9KORF_+nxY^(-V^n>Of*@AY(0D>lGf@#IRggJZB;#Z5Ph82Bum=Z zeBBNsoOm)3tPsLcfT|F067BxB5Fl?b{CZx-OBmUoH<#z9NASOki@5<~B|G|puiT|C zcFGdRM55Spt<)ssHbj)ltWb6!Sbz0uN0aECyS1qu`Jhj!z%YlxZ=f1A+@4wI=gryC zVGNt(=gsMSq3+IgB4p(~9ieyb(h*}mEg9UAtW_p#N*}#zT~dna`_zZt>!iHKe2Iv_ z$>P}+sh)rB{k@E%9?iraM$*Y-=*0S)d@iJ2>yUnmw;x#u3v^bs$~#fv`c53Zg-r_Z zrbWwy00-!Bx4lYt8m;kxH?~B1)@vCnrvB zcGnNwSN%5+UOtGv#Lu5JAr-E#4P@b`^;s)`FBG3y$%)L}v0xS?n)JxLXiV+A8ZZ+Q z0(P-MaJeSg9QsZkDN#qYNRq;ZvQ%BF%74w>GuQN$!Zyj$i{8BrBPw=-|)E~tjs zcBSQxMG38uW5#BfE(%t|N@FmNF6;!X(C;`j#GIkpoIJE7(UQ(y+g`$OCtYscGVzf) zE|8YR=8cwq>Wnp1yl@0Dd+P(%<2xTP3=N&p6Kb9Ao?*(YI+tw&M&4@>Oup)XMzqiS zPac2uwQ>P8B^%gZBFlkQv0^gwF&0*A0)9%kO#!0RiVCW72E&4LUqlmzEB)4Q_7JVQ z;SWm{KJ#ukSIPP|M!%bgHiKYytC>Ov`}mSTk2B)K3ezr$KVj1)WysHo>TSwrEU^CYa)*zP8EfCDz;O zpwG8Vr^f-mJ~Y?syl9pg5-Uv3J84;Wx56e{?Qej3(`v%20trYDCX+6fRa3viw5pli z_|4sQ%Zo$Kc8|YJMiKt!$bP2TG*)b)eP3SRg{D=bLgF$j z;Au21rcgG)=W~!L&yJ4SGfA$xIG6F6N4$(MtstxV zE^)6r#@G;F@3pcS zZvy19M?6;tSFRc{6|Xi{0eMX9k=DEDFm^~R_E^-{8neUbByomNOi@zb6y+7iKj@^E z#MjE9s~Uj{>+<5!-&!Vgs9pb|586y-dsCP_!y)|&1H{VcOSm*JA`BGdfW;sn zM%aX6d*yi%;9Sc)>@9p0M}wu(1Bwvv%X|<$69~S7!CTNz{tRabK|~gC^}%WM6U48Y z7moQAg(f|OH~8UC)T1s-I=$8+LfeM~ZO>6b5LmI^Mx`7JU$scjunD`!&FCGEPfcOO zJO(s$r_+_>R76-{9)71c!#mKbp~!oc=$?E;vm(>#v$u5=%QI=0d;2diJ+=*uW%w(j zVwKIjRwTV_njPY&`fKYyg$i{Ns6~w!D>Qg1)mYni+q zWV&}44Zz=a)Aj+PO{!@XDWeB8%(zr6BoSg$FVX~K`%xO=-)3|);}7LZSm#Piq&&tT zFdR0HV;KhE(XFn)bvIKg97c13(rGd5ccHcIEXtG`g=SSHAzq4V>S0Tj)Qm3(&mNj= zwG8{Tn4^wIJRSy0gyvf=l2wR;7)}#$kI7av<^+62IT}<&#(ahjmWtT;&pDOKZ?mW0 znrxp!G>;x{P#A(au1grErrvR|W>jiKfhXc6awk_up!WCk< zpGq7k%?fh`IFuN;>h2Kif}vo$6B6$_+jr(FRvuQauEiO0?+7r99#hi5w2XWE1$_<9 zF>&!3%Fh#`3B60i*VA8VwATdj@ECW_@7yKQ>krxeS2oK|%IK<@O5li8h;P#^w@TKC zW9Up|gb`>Ae)0KFTJoEdke%)-UF$sA;LU5h>8S+=l)sk?93iz8W^6UH>h30 zecE#Se>2w(!<_;~ro_b?dgOL}BCED)1VN$Z=?=aVD|?d;6<4^x!n!byjv|f}H}KG9 zgEq(m1I_f%gY+E#7B)6*3)&;Mpk)#)(<&+k^WsKRS*B$E=&qPwz#l9!nS0b-6`NIx z=%*}2F>(s86s021FNjMz@5s7D&oC?n2Kk<~&yp;S;hdZOvMI7yM>ybOB?;zR!aPRu ziwm~WC`W^h99bbq>dN-Pkb|QKhZh`x#Q%~U-crO4e573)iioiM|GW2me2@(bif>Ry z3Q{n6xo7aj&UiCZlomdUe9J$%p8606o*+S5U;r*r14YPksuj$ZzL>+JA9*RfwI)qK#kf_iOX>2A%3ie!&Nwg1!L(;Qd|F+-TuuF0!Nxg zmf%{3n}*R@dti`#_^NxXwQ$FKq1m4%Gl`C6uFi{rNjFwy1s-Zutq%`l1vYh)`bDoI zauK6j$~@9qJtZkS`1s}5!$3$KS`E=@;AnZaVfk5^MwgEc4~=2jMTwbKh*^>Q)^_5y zEn*Jl&M~+nW2t?DsLH_la#yi&G3rX_ zSF3=L4cBAw$&airN~I83HQgwt9?J}?XN~HgT%255-4s1c?WD=Y_~epQZ_M)|85sh7 zS1|DhNBBPiB(x5>E*ykDb;BH&JEIZ=YOaBEKC;{kxk>dQ-Hv#o?W=eBLss$reaTF` zPLW3_EBNAIy2S>minz_!u!J+ZZoVw*l^Q4hS%A?9;6q%w&6o0-0~UCJY*0x1^BCdb zQ?yin_TupnUG%vQv#rF20H;G1S1YAETk((E=wbBp=J4puVVNZ~3pEE_Y})~XDd1?! zK?$01{~z*44|(n;=g`U-8LVDB_M70WbS@RkYA}+Q-+)T6gfTAP2JQt7Yj(6$wB70G zIC)hWXCwh-M+a?n@WsaLd>Y=6lJSTmEt~`&7hW)A_*}kDSY410eSmp_6a!`oMt%S{P!EsSu12i z528t1$u7mOt@V8(j4V~Q77M*Ykfw@pOgoEZCVa<`-RtWl$}Jl_MdWB$h|cNNCq~+6 zcLA~2g+}LD0mfD2l4okSz5qUL;#Rt0U{rs}^xv! z^xfN6FE!$jBkEfxopk-c_ESpp7y!Sy^`Zeh&FI*o35Pl2lOuYQlts%M@@Hu?Xh3F= z2p;QV+BSvSCeVlmaq9SkKpq5b-Y~B_SRrk~aEnZx^P_B-fJ3}V3g*C6_MDHk8jjjn zA{*D^!Zy1ou;^W-BW&+FBnG>>*N~XkyNATQ^Q#{cC(*>tbRwOY$r4oWyC5E94Es1@ zcc$0y$SFL$90+dB62=xYx{)>FcEd`^bpSdOJ0Nz^HeFjj)u9H+;)OUoJdLhaab9nU zPcpC4ZFOZB1r4>L8C{oxH}Ekrg5q(cVLj?HbIK4#aHSM#IhuLdL$QWw?kkcVnsrBD z`Vr;|A-vZZPNN0dvsjfBs(z$w-@h6B{vDfedZ}aMLv7eJWn~3a>~4g7aK~1h^fm(S z(Tedx`?te|)ylnSx1-<_68gToANy#|xQiH;{A`VB`lYOJ7RPTcAjV!|} z^%2I_#LOcLUCGBPR8={cGlaPe(hc0lC_b_M4phv9uI0FnQ7|pa%ET`uI~z&dl6UBM zopui=J~PtaKiJ;Fghaoi{V0wFz?zQ{%3?EdVj;Sg_$4380vJYrKAIdJ?nP7ocj-u% zWgT?zL5Dws#ZH!1Cn*Q%k+tOfyu_TJ_|7MivvkjZsVCO0q0NBI{;a)wHwhv!U?A5> z{`5?+(?96fv8BI&vLwLz$vcZ7L)^8*8!hpb?#rDGxT!>qLbk#0Mp3Bj{n^1EH z7Qut;xqd8$?{%QVK*GZlr08J{)d7+J*!x|Mpjkows+?`lEqH_PTX!+GP_w~uDT@X% zb~n>kupTJ)D-)O#Aa+xmzNPujy8sWuDu~7BC&cW-cjuaHW@96tWxB!$5REd(tLxmgYFNTyZQAUwi?8EM6&WHxhpXpbM> zv62t2<5qhT=P`LgHI@03$3$iR54QqjS@lx@I?(^dtpADXXXPQb1NUk5q0gSNLPqmC zJOb%Q5(+4GBhYY$J91ZAz6Z+jAQEPR2_ynRw3sXN=LE7 z`G`*=gsXJqDDxx1dsC6k4F&DUN!N|}$CUD>h7nl(N z&U1UoS{@YX6T@uVLCZ+bF4R%vPKc&D3tdzM`H{Y=VZ(2 zNOEr179sA7G$<)Rv8|-UcCAWBCJSeXx$Z@YjiHB55+~i5zU<$hjiMK$=pzL}T9w6G z<+CT9m485p8hYd?`zyBJ_o<^Ps8$q~3e!oY5p6M_3Rwe1!6GfP#>qx^^62Q%5id9V zr@B*OvIuj19M;`z&?!eTNEOPAk@E_tUP)gknGA*=VbuK+e#Fc+kB$edR7}nunIus% z2k5@!`skOG@(a>F?ehB_#$6kso(f5rK)WAcit3iVM~mvJ=5TsE*y z6ny<75Q63)X0FW7w2tZRF;D%|CoroC30It0(>a)Co{v@EDAKHpQFMu_7H*zDdVfFW z!rf>>B2s@I;&eQ~gC^TjdM%U!1a~fU05;7Ol4A|~tFci-HW$qvm?8hTW^O`1^@k0E z_DB)&1C7Mrvl7Lyc!z5Ele<Q3AH-OeOQC zQ_NEgzB@WQdi+EY;FZjo2g9{`L;F{QugoLkpQpsd9mt(z8N-=UzljdM`1H+CvyD(3 z16;*9^9_BebSipALCCetvN+|W8loZL?+mW-^R&iI^Nd4YpMS4N^U6(hLubHZA%QnI zf^>XrFbz#~@bOnKIE^tZ5*Ul`I{78_bI$oj=FN3<5H0G6^Alhq<{Z-#(<9W~Ij_RO znlqFx62$i`>fw*sgiIDiCEp!5L~Vnyy2n&TIancj0A_A>IilXv2tPG{vl%JWY#&tz zk(eZ;Amrw!a19kgoy;*#GeR&+lk58(|CAsjY&SwW?B?ROg4#%C`M*eJDbr$uX70SQ zh~dk%zSF-l&!d-{I46|Q<8n#pqWIxAWwUJJt#&37>dE3ubrXCY4O)bs}ak>)xl zqIAGkp}E;bQ%M#C7U>Y@m9<;?s*z-nF`6;5W|}J0GvY3@rs`_hWBu4PtpYK6MW{__ zqpucm8!X~lM7!%-O{32$iS>A`Fk7wKzu;%OYU(3M;ADXEXIG#d_T2Kwv?i8UWoT+e z^aDAjYo_>_YLPcTR#2KXKYB6I6&9mVkGGL&r{oD#a5tz7W~sU2Q$eBNK-Pyvy;Pk# z_~s>+_s#F=;{AzmrlHdFV4;!ZW>XhsTF0F$^fP{@#@uH8k`ss|Lgv53J5Zs~P*2P- z)v-Ekv;vH5QwQq;q{@VoEj(|5(Yn%}1Y^$N);&QG;~~gV*KtEl$x%c2dA4Zez7(mk{i;c;KA?@IH6XI0Ga=Htrbo*W(9~ZHw z_`y-Ta|tL3`V*Ue%eEVfC7DB*eRvT%!;enAL?zEViMA~EC7Xpt8<`zKo&#~7jUwew zb0<`i%5W?t+Z2^F>&@&uw%C-j=#rQfCzsJdQ4e+Y*8%-y-^q$QFhsibf*m_5oXT!j zi)|~!sR$?h3PW!WjxV7JKQ<)G>@n(KR%Td3n1HLNMK<$Rs4;nx(=iznk=4ChW3h4d zG{$1$3bkd5nCK1seR{u^XlR(rLG*1m$Cg5ZFu@jHPwd3A8nsC_RT|BREf+7Q>51uADTJ@e|-dj8v7PX`+3uJh;_$wVU&=boFz8luMDk`m8hp?I*sOvUp zQ~#`q>Gr^Dwk)~>2fwMJDZ4S7MiZYrm|R2$7n)107ru(7k$RuBNPRF>{qwJ;$CnSz zVIyj$yZy1LijlP2kFDyk5cI{hL8UkQZ?8^O{t zk5#MU=1yUxpj9m~kv+vuReb+T*bm<|?1rF}-NgdKevL8Q_NbFYKT?+w(|?HlG#JPi z&O;#?C^{WJ6vzakxwwhe$N^~f47zmDlRF?rPsNWsV5qK&^3!hXw7#B1Cfx0@9oj`! zr;ccSU4V(GvZKd7`}*4nTOgC^Go1(-B42xU5>OD$AZFH@qNCG^H zB(JmCo*y;yc$1(}_0uL_#yW7zN9MSITRe1#)x^%N;8eb6ey~$S+)A`?ZP2AUzp0;9 zTkyQ5bgd9%+fG|$Z9=sF#(Vb>zdg0>Rh*+y+3fwTVVTDR@L)1No(#=#;FC8(*+1nX zd}_hH>294QwXW=~Z#(;R_T&OM4!wJG;1+4|Ub>{CW2Clm$u3nLgnb<=mhLgibCp-@ z9y*p9c%@J|Y?2%t=Vq5?ST3wbOn1`?ff&iLK82!%wh7N)y2#x%$p&9q-{TMj^LV?mRhcuGk$Pk!bwNph6Ql(tN2>7Y6}QXC=@lX zK&~C+W%`DWghU?|_y^hIxCaW{XkK)Y&bpuPi5Kq!?NM;_K>iuYZZU@pz8PtCYlkY2>EL zp3dm9+u@EHFv;VnJH@Am_Gp3#%J-$;lx1WUQDdm7Lc~&7tY#9PK$U8bdcyiyKT)Nn zv8DM7PlCmGt#@nb@7zf({hewp7z!gg*e<@|i+MEQP|^!igSw)9hb@wv+-gvwpolQ9 zhV0#_` zBRWxy{1X*yR`EQJ_*ed*^bV>HKMDKMGFUm9qx(;lzhzJ(;x^^RI@my`wp!TtmO`lU zb1+duSm{UtIj$>yl+Uc7VgJEyy;HC8@wA_BlSic3bWU!hKlsGwx3z$en9Om_sU+;j z7CyUE1pQG2`(?6N4QD7)3LTJ<;)T^*i74a?`OZo&mAwZ6ccUp~{f&CUUA$PvybpC} z{M8H&9z|}!ON?i|QwCur;%up0%U@|;vu!)^fuI~LvA4=}js+n*B%L|E5EpvEaN@VC z`NFCmogk@d!)UJJDRkmC0zZnd2q)vzgqi&S2~`PmaX=Px&~}9H{gfsJZC2DeR>YRd zlECEWH~;%5tyCDlT4C$Ri+GkpK_?jfcDOOpiV0Mo0V5_fjw8iahS@M?4;Ha;1H7rL z-#xkK#?*A=>hK3$>3E|uR~Mx2xvY5Uv@b7E+y#0>;B8XPJ36hw?kY%E_5z-ba4~P{HeeLJ8NRd8p0jz9&`FP z?T$o;$s8I4PGJZ-$wNUce4ce;jd7%Yq{9()I$PG!UjO!uN2|7I`wU=&cNm$bS1!d{ zWiHt}j=oUdi)e4~qcv^s28`z7ws3>m_N9RvJd`H?h8FHe zd2<^%R-SiY1A|5P-Nt>1FA#4x)nlEe0SA8s4LHyZfd1Q!z6drza9NgA@`mq-D*mD) zqtSb`Rj@ml!% zkh1k&xCiB>lR31RE67Wm}{M*L6-avDia5oIU3s}e}vg2 zqd8ti6xz0{K>W;7o#e!Gyegr!4Y8L?Bh1tUR!uJ^nFTl z+MDm2KCC z5IE+GNAX48YkXa;FjGoIaPhYH5vZ*2SiP9^s!sCFiL5j>8~vsYCE_I;l}W(t?qbnU z=B7+m&VJgRocG#px?zBNyXrKQyE_>*R2W2jZ(QXUFr~Mn?l|RV``X2T-wyW8>2V6b zso>uP1c8LUF(Lsoy;E_+m<1!RPLQ$Y~SEM4Bbl}AXgahp|I5__dDwC9b zlcSG2FuP!5wfk0B36ui3^@B<>_S)jPYh_92XJKmUbIY@%O0w{FhsQ@0)4<<*9Y6l~ zRZGGGwmXz(xI<7I#aVzSC1_DWe>QYRglQX_uoqO`RcSGFt3x%%ZKG3N=k`leBeq6V z`5x&v#;%%6OyM#xys{OP?$3Q{9|K4$^`T(QX&Nj9?0aUHitUv;X)-@KQ|VGT^73E z?#ib7p^MU-TYzE&{88;IK4hYfdY5JDM4gTyS{;}U9f!YL*34o_LsA`GH~e_1t1G-hRzl?_SoJ|8ZL2nZDxwLLC$s`6P1Bm(aQ7%OZZC&ML`?-GH-&abAVu6~eBEsffwCIMdr~I+j-nYgmd)ZfUs1h;lbof zVq~z5*kn7*SIQ}?P3kDyUm-VzRV{q0ou6bfGV$Bcv+Jvyo_lQZ)KuVSYI$ZD`*l(T z(S_Jsoib7-skg)&FtkczTglT?5Pm=<;8c-f{_)y!Zt}%yapYXGbyQj!oITaurUBY2 z$!2Ry;WYJ%tuxTvKgqP>Tke4y@f zbH%Utd6SnRa2t6H!Z$k3gut!s(!B#W%3;*W_pb2o>3i3utgEA~pW`jx`$zsw%B&`K zSAMV++?~NiCw1G-;KMxO0f)q{l~fP$+LEHUjMG6D9XP9ES9{81N#)p%-z|PQ!T#|} zf;}M5R-6ti-Hn=b!bXZsVbJc1a3OPCI=OVB3SiJxW$@rFO~uM3>VE7(bh@f{09Txo z7Gmhtweft=le(S{JK*z|*ppwxqY$E)z7If(=K1XYm`dAFpzWN8oqL5`a#~C!8vE!XLcc9<}vBo6pmC+g{GX-r@G~!QswO zCoITyq+JsW&6w@tq1dP@#KD{^(k6~}n>1~HbY(=`*#HxyBKv}B@M^`?OtKf;|56Y5YK(zBMlB|JjsKxSoA(nX}jOxo;Kg~^&D@AsdRBJS?a_n!+q5UFd(HrHlm zsR?8)$~a2N)m_E<-Ey@k!=o|9iM!sYvq}kug1+d~NC@dR??+!mhw%R+6nVv_Tc;j2 zb?--Z?u5mR%Rk#`t2`03!^u=9nn)`H5SM5+901v*beQA6|9p2J>OIiy@slmhDCv}q zd6uTcGCogmoP7T|f++_4=P+L`p@#>m9#&H@&&vK`<@UBRdn#izP@|!<=gOows_Ulv z8FMva3A|LUmxH!;6TF}xAsoAz*%N8-hK?zUkFkAvlX7n(iZdP&oR?sWUR6(Bu5R zRhIrPLYHb77>P~`XSsDV*(2(4R;4BLEQ+Opu;I7&&hF_8Em7*V+NU>vu`%uZJe}e3 zt|rrM;}MC)H9Dw^d={2RP(z9&Y72EL`}t~o9X-sl=nU42yfh^4vw7X97e@b}Tf=#S z^?83y#oH{Ve(}onF15$>g(EITx@%u$Dv%&awh*tfH(9sYy|MS^Evp>~7W;sG_m53o2#s zQ5aiEKU5@C#k}P9to5TPIk)FdsjxlZszdGxFBe0~^^f$TL~M$|uXI=e2JJa12rn&K zf@l^mdhNVW8674cV zu2e7Kgy}-*Xl_N9b|wD=ch!a}S%LX3D%@ixl$)DReag*BTCmH!S zazB-P-oPo*0{}MR{`87(VNI3aGjMX=1l}9p0k{|0>k^Z@B_GWwwveBUh38dLlC)L* z?d!usr>TxVeZ1NPzpBZ2s&H0ItVO+*+tqe+_*p%I-wA5^Ym9z6w^s|V-~qDD+_qqIbG6{z;sXjcH&+XWCF=GCo13czYf(YPJ=s*ONbKo2 zvA)^Q7BP}Xen4A!R7!i=NKy>$&Rua+IZAYl9d7ao-2C^nb_+txQnA!VbCw}#jlpGT zx-Y_K5I{_I5t?I+hN+<1c~LgfmO2TAecb`W%&Iaqx~bL#vbQjw|5cjpZq2&kb7;Ug z&pN~(t!;Ho9Z;~4Re?w(dJ&Qyph|>Rff>iY>mnybT#^vVlqCH$J~6B6UySqBa3;oD z)@&v^lq97p2*ryG8HwU2)jGyxg5#j{c+?&9)5tXteJzz5q9yh~GAvA~os4LiqwiO= z*c4A;h$~eNG>lKjg^UOwl4az`4S1Bf{p|xd4{h(_e+J0PYM*_Cr+t|w!y<_PU-M;*Hie6VC7GIi(#bmxR{Vsmz;ts$%k){Y0i<``T+;S8{P|k zh~A*p@-~E-&@00;c$x)3VJ!;PlKtsbT*L zQz}lTIi>_WyfRy?$_cJ81UXsTD%$VVrl@oqd19o>SKmbsN5tH9S{SaHESFFcjM3sE z7?j2znCVM*m)u1jIN@SLRq*?s7VXkEmE1*6EpJkfRj46j&3Jv$&7{@hPyU+CKck6S z%(5SbJXx#Dql(;d!!m02%pKDc(2n zO6_%Uomnv8;9%iC>7$3y34du?8@j7SW#!_P>>B*YTph9G2uHZMp5_KHxHe*_(?_NiMefO?0#@( z?A}Rd?A}#p+{{016+x1W_X?SNh;yKQ=8Z5Z1Yj&3@-=5yNjy_W>JAg>!Mr2KXC~ja z6LJV->3F;!lw)9@c9mbNVm-krnIUtIsL?!`4Y3kf1GK-T6FR&Z#&&}sBDKlv!edjf zi&uClsQq%;5n?Wfxg89gBCafJjOiqe#1wj=%Hyax-YMH@R!xT3i{9~U$wDybT1O&WzHFB;q+ zmgMQLqx|~7W!`SefsYwo-#;{Z(9Yhx&{;1cvRbob+x=&+1#;d$QCW`1wTnv96U!!jV<25J^ z%Lh%q-Wz_Dlfg;zo^H_I9tsC>UgMwr#2(cuI~raKtOSCaA-Q6hTC-W)9Bp}W_KjYA z9KF%el(+UXIPtwt3gq(D{t50mN<5=+ZiZA|OybN+Gvh?nRXS6A+TVnhW_5vTHkxPH zY7}rWq~cIA&k#x8`-bXrG|RPwdq_!jGZDF&?Kn*@7t#Ibh;+Yi{_3Z5P1LtqO5K|T1(;nBehVf(_vZtc9&CxHClfIVs&u)pR>cJ(2IPV&rhq6|k;Mld@0;26d_i<1oHG}b{uoD(E^P5GYAyHRx+)Q#nWbWn%zE!O&;l?x5IC2?O=9b$8>KbcldN2oT9G1%OLs4^ zc5;4Xi}pZQG#}+!q{mf&=sVm|p8A7ApVR!qi?wZSBNRR5ih~VG+&KuAD69$HpY-bK z6imquZI&}~%9bn&tm$zv7gY(W^{FrDF{;<4@Wm)fEDR~~hJ#8MiRwkO76!e^t|RD& zM$MykKBZGus{gvcM|e@B@4|G91RiaNM`rGK4_hK&3I3UJzb1eDLw+aZ+aEpM`afW zo)MQ1cz@pW$+yPto8VzMQ|7R%diY2#-i6~!0Gfd2B1_U$6uZ(%Ch%vnA6Wt+oyi!A z`Qf;PsLQ9m4u2%`c)=?tneP=(mP!_qmCi~e=R-w4&v8YplQf45$#H3u73q8>F&KuJ zmu2w2^6i&JN;uw^@HDDgTy%*tPj-B}{xuwu#KV)KYhs)%n4u>(Io_Nxtdg@#u`JFo z9&?pr9CJ&Y=IZ{MH9#kZ;`r5M3l7z+SBJik(?XGICLJZ~ibp4QUNX+lXt@QLW=(C{ ztH$?AZZMxd>|6q2$)n=Yw>ZtMJ!Dj12x%;I_Df4DEaZ+-m&4)w_&|_U|7wLsP*Oje zsRXwo12}U4G;hv`I|^ZKKSXa%)tw4HQ%5AY_7vxk3|4kuhhtDE2D|!}USq16W*uaH zxI1PZ+>mKd4NWWM(IXv{8OM*hmJ_Oe+?D}neXsSGHM4LLjYj0cU1P`|@>igQd?zVNM z%Mg0XIjGcC`q;bHuM>^zwUUx)Rt{HSO|_};k$>@RYP>*;Je%MMY*XiNS1-R!t;-yV zZrW7%%DM73b)lSH`?+yex%#$a$AZ;eA#Z1}R_mfER3U`=tYSc9pU|wQc{XlW9Wqrk z*9TXWsn|dtSYeuFB?qZiLf?tU)=^SiH%?8t>qOsmB6r>9-C}mu9K%Zp$5DEJq|LT$ zY{lz_`))U$os<;o9BjdhRKh`xDrYk}^&fuLL?*C7f-bSGHYCW>?;EFw-c4dGQk?8p ziz%(+s@!*uT{txdbh^_{pskeK-???c{hiv9+obZ6wMpG-!^~Ue^2V1FzL!ii$q%d) zrcD-|drOZOFj)d#cYq5nEz1ZHt&Kn{e( z!EdCi8`cob9I<`miY^7+ViKua<4&&8%E1?x6b15*UONp^{IaU>Ns9b;!PDtH7Q8sp zSK2zf7QV?LBh%Dk{FsOL4t9DzdwdvnT@D!*Aq(3O_6FsdiunNl691s1BDTf`%t@`a zOyr73IA+w6W$=8R1}*)Sh~%(7Gh=w>dd{GgQt=mSMjfJ%C(@pP#?F|JAE1i({kn;pVp}abaT3 z>pPH)Z^LukINV%Kcnc5aV&g~%ULwK@BZ7f+B?9kY$21xQNp4lhn!jKT!fw9o@x7V@ zSI?Q~7};+R4ru9%6`UPlzE5K~gwGMRnhxZ1?**b18h!EmF_MhI577W=?^~w5;u$3~tUzi;M;mlek%&BXQ%98X1(-IM z$qcDpyOSg@CTZMq?3jD)e)^ir2oEB}S|ZmkmRmEDoECAW;s4C)5{5+6%UKjqp$QCG zsoFT1(c;6&tYn9Z7&gq1Zl78;9$F4`Suvn0To$%uRbZ$nReC@J z=B(ax{UfO{8GVskX%QZeCUfuD6_+6nXjpxCm}rvc-~Y79dG$QGivDyGBOIOKQA2W( zEh#i-BxTx0U*PIe2tCTs3z(z2jr^|3PuerljnjC9@%xd-x@z&#;WEos2Q4gk%~wzz zhWuxkq=nHeC33K?wdcvk?KQn1JSuj%+RK7zCRDV~j*?^@eW$KZWI39lDQwX7VLjl# z6#KtC<+|3$qk8S3n>TEca7VpE5|V~WsXEGJ3fAlt(6U|`>bODF^R?pJnk91LUliyE zm`B4RkH@39)PU4)&+xDQ@zG&mqR(Q*ty@+4MW%7|H_YQH_@oRPe5EsY0>anSSrz6(Z#~Z;C{s? zX58HPXSmtU5tVx$f#Jbl!WM})UZo|kv>B{A!V9L_LdeGv(@JDZUIrDB0bG3_Esqsr zoVaOz2PxEq?sU9Vb&uXnu4NO)!fD^;#`*#MF`79uYZszeIrMi)7Q#<+R@g<>V$*lr zJm>7*6`q}p7LL-k4FkEJ8a5==l&5(aJ%ptISM#Uw1tmYP*+nx^5wqQ! z%E^5mF(Eo>xWlA`-}WC9a~4xvqvwZU#=#3Ig2mTcnfU4tLQ8# zhMdEF^XCJ@xI+J0Kahur`$kv2dZ2HY@ih8*{Qi9%<5atWd+rRW(29=?6$J0c&9@U) zwOA;IoXXg>&sPF`rgajz=u6?msaTOReo>)?2X{~NAhK!w7M|Ns2{q`Gs$PuCaOe5% zF%}}FnXs+3NIMq1_mDhg$2zTBjaC$1vfbawcr{Y`gLd*Ot`zE8yM=lni_ZrG0m|va z4Q1oN314X~;%O;F9_U|{M(O?Z;u?L4(UghM(#GWZAZ>ti67t*ttm81obWpdeayVXN zpy6(>}??UV)+f`uxApKK21jJ*#~CVV9TV2%{*Qqve6cF zgEvYSt+#}6fyhhCdLiNt4Bq)VE_|hqS>$M3JyXFrRScuKo0qSLuzY=~2tEqZ5w{tE zxCKEO8P!eJT^niOmEgz*ov>o@;HX6+Nh_WlKlpDFNWyQxfdyEReM(TyVmOz~qtn&s0&E}QT1J>%gV(&^BSP|YZGD#8Mgh*~2dKl{W*V|9Gzj^hv((BW7HbYY! z$!+le{ThOskEA-xG36ku4L6&^K2KHH=NpBscq$QPpXq6U{0PL@O#zV*G3_({TA$&V-5XodCU1iHU1DluLFpIl>kb~{P zRxgya3n06h_DiV>%_!sEERznOeunfkcT zc{-*)6(zp0^(u&7+my9j5)`z-8)XlpV|ewnu4Bpmv7L7qgHUh=W9JQ{pq>j%>oLN+ zo|xKy=yle?M|p4X*vH5nrEVaBM*4=-3RHesTb{!=xRL>R>q=4H@;rx>w) z9CZ&+clU6I|AXqghiIfk7EhL@y-A#;X~U5NJ(yph2T-@qRDje;$L5!w;Vv^Iz?8y7 z;j87;7WAb>oEok$Y#jtgYZM4uP!J8u(frzzW2e0F&1A z930~QvA^HwRM%99WS*zX>t2IiOj94Y(&EaPcTIK@m!z-ICc#ZgJ~b$h{sH4;C|VID z5sjUAhV(1qK;n!r#a|4LD~6`H?gGiz-+E#sJ>7-apc2lT)hGJI8!KE}>I<5ufi z9+qW360VN!lgDQdANB$`JTxSVQA}ch7TatL|C2GwP0}hkx@}6oVB2V#)VG%Eue|Pt z%HxhjjZ1s~3H@asB0M8bIz1ymj$Y!9BSkxmBbo!59J(}UTB==psJKe>rP#w7hW%fn z^$X053&Wq8TmMUpQ>X6Zxq$#)fpF(WB%{vih){-}cLjvU>$WuwGI3(uw(>UNpx zIEZ;-Nn#Q{Rle5FTKy)UhEWU-u4FT12-T8jNYy#rioQ;usO-9e8F-<6%i1E9HPU*( zs-;k)0kK<*JK`ijf^ZsYo(jZSWsl~r(+q(61(TQqy8qwVG7oARX?+Msc*K@?_-{X{ z=Q~{w<*I}02YK=}4YNa-Um0*3;$-2fOweYPao;^&Ws_LB!EH?-Lb4`SP%kUbtQ7%qM*sV`uzBDB&1^f^PGKt~2|M0sXXr@D_D zt(tb8P~%Ule0%mK!Xm35WCi=M8fDZ7vBogwL3eu7dZ_@*c`Wcb97)@yAoZYuzO#1%O%O=j+0sFty#|6^MqCy0@w2vaB19vsv+EN#lMVH z>p5&{8x^m17;}3GT^^4cs=_e{Zzs7znYOpdD7YsJv_fBN2L~%94t63;&m$CMLt%AX zzOX+HVsIgsa4%)1NrKm@KV3T(f%yKPiZ-i zo;-=VU%h+=|7t0s&UQz{`B12nnG`8ouAVv;O%jPDhHN>a*Eip?g& znK*jFt3(!oq@=FP6xBv0|3vzd(GJ2+cECZ!rNc zlL~!Pk&cbyqo5`1o)%f~DjA3U@*J;|ai*SR|0BGT=?YF;gM%OEonU4BCl2YCbw9zDk4-9H8` zT1P+jqIGn~4|4Nc#Gkc2bObfxlg)6s=; z6g+g~qeyp-Ebo~*pfLnORcbIRMRHCY&v^J*%{b{4HMebOxK8g!a_o`WuGpW9+r0+- z8K`4y9p?N42DOK|MV&M~5!rxOjkt^Qcju|R>5%wFRd=HsQ+hi>?R$oTJyOm5GYPEHPFf5?*%UtYO4-;pNZr38Tm-iPvLFu{UQfTTV^uK8ux$ z3rsG?htsLEtl>e@=HR_!Jd56AMYk5%_7G6zX0?E2hM~1enY!(hvEqy` zZAa4PG_2bdBGy)gHc+r~se{`zbx_|{@@)oba!u!}OWi9-o69C^)Yc1^E z_n&_;7(h=j;11J~3mrgeb9evy&uLHV%QgBECCs51hMmWhw8xsXGJAmXvwZ*g66#UD zg&0M}OcR#7d+_6*!Y?`Pe|Ha8V~(3~3;$HqFPA#LA+yImIvaUyZkpdDC%V#naJC~D zRE6iT&N8U+H+>I;6 zbiZbeHDb2eehn97GA`<&5R~l0R z+3ZX7tpzLg*KI0jmc%5Zi6{371{d4V* zz@k~W1s+t#!4#J~ep%xzwC#;fJ8{04I2^)^0yV^KbW7tnqAS{oL={Mc3FpBJzDX+{ zajd!$1mxzbpSR>BIjqp0TLc5RjaZY1EPH&z1a}!N@eOm3Y+*8*vYfPGkr&jWjnWCe zynZC{lJ{_;jUxVIZS_b2f?eQN%Mm<5D$5qx&o=3R$2S=$eM>pBJG$-c6##3ivxcz# z4?epsA9Y(HZ3BWssQO&dQBvqMY7#s36Z{J znh|huaJ+`rx>BpAv|d}Uy3(q74igv;^8KS`%IQk2ig6kbSq)XnWmb(~vBuX(RN3u+ zI3G0oX5`Q$Dxu!8hNSYiR&W3o#mUk#SH32}Vi21NLD21%`I({6lZzOWtB&?!Wp@auGKmN2szZk~tB~jckAk(MDjq z`6S_^gx5cHvmEKYg-jBa;uxePXwf2e)<{--xC;E$WDPN&gG$_MSpjoDp<4^i8x<&@ zMq8-2gqsVW9yF<;KSOF+fS$t%kW&^0TXyC#=5t0W@NHpT0(qVz<+g;T_!6l#Piz~g zoyrar#M3n9Pc@`*O!W2>>JiGBs_a0=Yt%Uc(CS_brG(e^KJwJ;BkndrVB^d39>ZwO zej<7a>A8_hP#naeE#no-lZ?gXt)Ow$BdxX2RHPG}bB)u*mCfQd_1WSGYpSv~h}+a; z=@ryhRI@9Xbg^J1mEFNDG?>{{kp!qG{_mq&F!K(hc}ePBr&QVKAb$hIK{tC+PC>yO2UJnvh~&(WlfNlH~U-m@6wJHbf~2jK%Qz zK_LiVlBl*qzIw?jLTu--wK<&dWU8qRIsg!ykmSI?90O4v7LI!}F%Tz7h7=tU=DkS6 zSl_!=|C_0Y=80p7qq96;Ek7gqeJYA- z29vW!Ce-q!woz(pi}kU+CB6gP^O<;Vl7^(Tn?L+@90KT&%IDYBfR?2j#@8Tcy-Rp7 zMU2q}GFGhzz4eceD8%%YDoetJXwbnx{rdDpPn%^l6!C^YUYlhq*rK=bLg__d7*WSh zu@Kme2T%ef0g-kB*69 z8%9fg@o5@UP1?`>Z9(rXQ!qy`uT7h8pVrr89P0X52G4vU9zt2(8SGJh^<2N z@^3a%uDAqR?UGjU{NAUNWq(jhrsDI}SOHWAcGEc_?#L5?M4NNl3=Yh3_Wf#S=X{s2 z-CG!Ac%RNXjdWM?L~U8Grs$(4zpBN5g)#e#fJF@qUHX)wgev4NT{O>`<0AkweWHd8oyC-H^ivPm+|P^ycs9uoK7R)qf^MBP57XRsgh=3n@9 z9jjtB*+aW-lH_75@>qf>h)kXnP1#0m7N~+e6dA~~gkd5^lqicZPBB8v?v~D`ye;WU z#l={zIFBM7l|jDZiIv#xDZP<26%A$*r>eeM#X(Z>XX`K55E~DU(4)P((`h&d3rYib z4evU*wA-N03o2 zc}B`zq%3>22*-HC8_r7k;SE>z!yAt!=LfTF()I86`#TFoPFCV_Yc-P_;v@lR*n?B^ zY%z`1S-D$?=#1rqFK5F6ETki?GkIQ+vzZfjPGAGLkdqyhJV_@pbo26k)cyML`|4Su z&GF7FgU?L^*g;2APUT78>-qK+4z{yMeuQG?=q`YEAdGW(jS!aZ#g}!i2=5|#wsJ^W zGDVIIMo5G8<*GD~H^-p9BxtI&kw6sPXRq#;wJwh}cTqfErat$lh-;=w>aC6L^p4U9 zoGs%Cb<{Udl@c4IFC|OQldXW^xJ`aK!88Tc^>*$Z(&W6?zpQobU@g#>--)d-R@_{K z5k95461^ac43TEAKETDVd+R|~*dWKvG>EQh8==b;rs2^AYXYCqUu-|v^VZOfEaK4x zb`o78RekyOLxu-8c$0>cINIAi?1ae-Ph|%a=X<1nR}LTJ*jH21>`-D95*SHM{6&$@ zqNB)l_@l0Z$~b33`Jp|nYgiq5i4bqUw_0hs(CN|6{=q>qf&2|@X;X`oliAuYSJ-uu(Kn!xY^kD<9s`kqKXIDu+eP_)wXvlOZ%6|)(xB6 zB;GQ_9swgeWLVo%qBALClEh@A+O>%cATDF~UxlqSc%^5ppRL}<(5Wygvgk28B1>53 z_4w1q&NE9#VlxxAgxQ|dnXomM>mFIG$Y4$6k~jYdyY!VN{!RPCERg^_|oM?epOzi0bQ9F%9ClE%5|pu&!W!Q; ziTU0zcZU>mPHwLqWYHf~#d1bS-8DhP*jxA+mJLfTChD@ldoP&9tj={Tfa*mxL>XRz zszalpj4{r81tTdfaBs?|Gd{)qh7uzh`Ky4f+e5(NWygiuS^zPf0Mp;;*pS=)j)L6! z1Lt`am0rOCjx6RCA9w!T#+(=RdPZEfcj~ACb2DU{B#Bl8&s6>$!|@>0sQMz06P4*u z2M8?QJ??FU_kOOo7YjLPCp+_#;25w-T~)p_u7D*mto|&@(1ODghY0WLOs)XK>K?wX zy($MQ4vkY=kocv;aej`ne3es7^`K|YVvq0+6@?5Ury6C2tuW=D5-49oN#?HGP`jrK z{7g#$3n45ouNnoYwSQ~pl%)h*ph=X)7s#qDqQI{5@AHc4uPtefePd{yT=m|U_EK#3 zzo)S5s`s9H;t|{fjZsclMB>@A2WMxl%&5tJ(RRFM&Q z&S=w~I5l_vvFM4ImpsHh4>72)S#La4cR!`O|5)@0o}|DuKyup6I^#s&_{X9jh-!3p zi+(uMH~zif4>$i7Q_oD}#nPDDUl&LcDx5Io^?aDmIF=xu7IS=7fjTKbr$()Ic1H*N z?{H5(AMqM*gaKMAY}wTMQjIH))tpFZRpfA#xh1>GTk!8{E&IQd9vD>alKG~%gB@{< zRMITiv{IK44qoxyiP0TH_skS4uJ)Rb*eh@bC;2Jtw9qRV%+Smck~qhG9fye>LSV1I z!dRM|A6kbt1}oCMT;EK|8`dLSt`}7Clx4pQ(bweZ)hvU3+i-bi0JU_CU=# zWV@8WywD*!0$p~EK-4JTW<;Y_9ZGF zeNaI$H-ce$TOL@J?26$m`;kQl$0%hjIw5bzMJ?-e%Iv%YMk8tMo~GmIdA>xdQ5bbd z>^joF;rA!fAITV3+5e`I@LutcO447Gtid{=n$39bnfPIUQ^drE>6Mcj^842&SL0~| z|2_Nry6AcIB2hI!g`Q3%evPOQO#188NXsmnBqS|3OFgLfKl!AErac%L6xOVI(F0T< zR~JiF77W)Xf;DJX7fp?lFUW{{EBL`E6%5XUH( zIdPItupWd(CAf|)6gS8)znZ}*By6VBJ?c^(mY0RsA33dZT#WkwT|lD00D%KS8!Q7A z2ru(r`qbyaFe9!)&Y>a{blN7rOdIT>gyos`+v!(~iOC}r1+pZ8F%=VE zKJ#1gRR};qb^vYKOMCccHDs5Xt+bwW-z~nBjbVss1)Y*z$4(bK<=?12lphhccRx$Q zeM7?;;T@GK&y{gPdn3Kftdzz5!=W5{%Ls>QYK?J1SjkjFFIULqSIZZ7Vu%jqW z4=%tiZSbL`4eZi(KeV)6yR?H3E$zTA?eIfOJA{{etYVSZ0kv}?aX`ll5g`cK0fKPR^6*l720scpNX50$_kiHQFGZm`QwsY2O5%^6M;k;xWr)aykV-m6g{kM@_Plu0XOv4GoV!fY@J=s$FoT$ z1)!rTBpM}zjM7i=^b^Kb*9xOoRj8$aTC|#&lL|0LF;yMury#y*A?e^C7#hDenmhD$ zr5C7;o~SSjXs%ZYGG%{2r?gZ~bhXigMcW4MJ8}>y6T}SWY*H|ps%@Z{(PlG?njG0B zN^Otu_+e&3E>4snHuO&w_}{*O~VC zN*_{0;UE93DbwN{y?P^B%`f1DSVJ?lRtPUZSz%g39)bgfV8v>}L}YS)qzR`jlu#qF zL*@aGyS0wtb?szL@e{WR#v2mwBSvVwGye|cc&nve$AzJ3@H6*odI2jiI}@h2*X5E? z>FcSh+V*x3k(lCkDQ}v5HVRUsoj6Foyi|hF#Cxsgg(K^inQ zdnFmn5z3W~b7(AjM~GPS3>O#_cu5IC!e_g9JWi!%%SV<-puZNJOR;}IA?OW`!9O`Rzq6s0J;p%!^zu`FYjhY_vPJ}gVe ziZ7GE4=3a3;Ei3Tt@U@jjR;`$*uaM)TXUDXt&A~JF|PAFn+v6Xb%HF6j?2UsF}orm zM%9>ZzvrDXVFFBM`A|lME=p^?;Sgyrig=(cZB^qehT##YlxmZe_9?y>1y$27v0JvG zU$Vx}f83T!(Rlcdws(%BZ}KqWFn9pJXq-R;*BBCctNO=lHuNiE@(vT~B?Jb|V6VpT+7oW!dc!6C|c5p`<` z6JJ>tuHPh!_bS|?I%2Gv&gu8pP$;e;%L_4c1SpM>F{flX0(Fsh?byfEPl(mF7eD!N+r z>U0EYOOa=(1VfInsZf?~gjpYVwhn)y*?pyyAihussk+)wyLt4P#1<@cnf(&9WPLkY zT04WuGRf-L?FCP`jBONHn^-suGB6uv7M`VMl=_9b2Ximo!p=@WBv*y|Uuy=M42o2| zB^FQoml0k_YF3_-;+N7{O0fb)Yoiwas=B5H#db2 zbdr}l1?hCR>!@Yg3JQAlFBgK&UBGMZ1;DUc)!0SADsX_(vn3g3(p@Bj*A{N>xdO^C zx5oKZg=bvF=+lM+wmg);PqxjPkur{0taD zqGfxnFUzZ|$gg2^cQ$fGgjY?EaQPXALrR!R(JNeaJB;=Subkek7B>p(F*I|O;K6-I z+finRSftAlhTM_icw$H3m?hSVRIn0>xDf&b&>>rHIEypp!G`MhlpS|_*wGqA(#`l@ zJY&tz^SH`Y;p_Nc4s>eup9^wa(*etcwrNmz^Ajl?``tj)KN=MMb|~~U4VO7c15$`Z z5)}}4Ur6Vt9c@y-&9itpg>EcI(>ZdI{4{!-&T*-mC9~_!N9DQ>APc{NzQotwcYuWz zrfZAhn#pdesXJ{(%*|h|Y_|cnUf3*hcnz@s&(>tHv(f!BpQGmqF8F!8fSs;PBuhX) z<#k?8(~J0hf>_n>S3CW^ak2yim zd3>>2jiza@P0NgH-gx7*6T!mw+248kLkYhV_^Lpz4@ceFLk(l(Ce2VP@!E=3CleeG zMN9yL&P6_7m8&6*kDGhq;Kd+sGJzohHt;0QoQXM)iwkX*BGIqo_m$h&fbzsMJ9PgS z(4DY0;9YN^=ZUWb2bUFm9PEH?B{TMLZ^zt#+at2*U8>=1*NIMracxtRY`k$p4T28Z znk83}wAX5Ce>bv5+u`26bJIDzzflSXxk^BiBye}?G0S#+>*}(^aeT3v0`^*I40M>I zxYcH~(3J7J+@O_=+0U^uYv-~8-qtCMm^Y#qR)J?!pnW*8TdX~h1tJY7)<+t)s8}Cu zDc^@_nC+2v+D&flDSWuYrc?4dmbtF=YMjCE`528#r{%-=GA@|?=H?&!wcDuZu#84K z6`dwXeS@eD0^T-KGpKAqc+f16#C)xij&iTH63($5#+Go-wgon#Z+r)`f-qTmowMi& zc_5F)f!w>j2U!W)ATq`>zX@&A-iJDnLoJZs#7onvA^kq_juAy9 z7+pp3mMA`VbK8$w?@bOiQLYTNkbl~wfrq^atsm`OKD=}1^7;U+dp&ir-HQnq87}KD&;eYzXhwa-S{a9pLHJFal!gSEKIg2ZEwvk{;xQp1cSlqL? zCZC=W7Wr&kbzkGR+`^KSTvflv0VjBw&MqzgmpM(+_ianT(egeJpXcw}meQyhTVIB- z3gJ_4NxOM9;@W=}S(1DIEPJU5F4(1XvtBi8&`N~2$8NeT>mZ95M8?9b$YC&UJ<>mbI#(4M!0dR|v%Cs2mD7?EAqCWMJBmJ;( zmPjlP=R|l93brVqX;{sa;0t3+h%gLWK<}*qcKAv_hc?>LA^#c0Y&$D-AEie4XhPz& z-bWzZK!WP?7_A9Bn#SXKN~XW~kdaR;s{w>dUGs+Q znI901c>Tjx^ajskma(la8>>V?B+~C6^~uh;`Rkw9r|w5#5tv8}d%a6U;!O zclR%UT1{7MM`PG|if{2bc@7`ZtHr-Nb=bHOl6oOYd* zG5X4n_q4lzn&&fzpYeWF2}co|CAdhV7X^|(LNC9~na!6@iriWlo&PC~ zPFL5*P1n{*Brs4mLJv_F^O9sI@>!Y%_6*RGDyqm5-qK}Wz=zf70@3-!@LKbpFznZ9 zyT$^0DJk>x9p*-&&?2+$7;~jFPdmi$k<_zQle!XI!!^IfKD-X++rSgx0?Hc3d||JF zU%*EFE{(7^yfl?=Z>b$Q15D`j9tf4*J>nTrA6RiYHcnuVFgp$Ao8*h_ zC1sX$kX?$uTxC?|Sf@E7$?s|bW0q5IYI}qM4IU!Q806jtWbVQMOO3ZDPO#9HyfSLYI7d25R>PW=?11!U*fz{0*0Ql1(++wScDJJG={mpEhme+mEFe)eqp^ii$|GK%lak3CuPW;1OK4jr19$e0t zi!m?QrMrQz%W2f@Y>Ry`k0+UK{aKQhC^V+OtdZ`tD=iTuS?i*R#2Y-%>0(_lE@jDQ zb>wvD_(hYoB{SW+RqR$&bpjgLTUYqU1qM{tp*u$h=qffMs%xsFEhpR=^uSDXW7Hj6 zYH*Ehnz(w4lUd{l_DJ{Ni@xJSlAZN$v>{fRQHHKc}?RJyJ*O*P#(4k7ibZCDcl7H(?U~0U~`KMCj0Fks2}ZIk`Cz)>GVY zqwXmzw^P`O@ZyfIu~K0>GM?}IN*0$2;LJfwMQt@Z=QjXR=ns5-FmK%b^snqn`yOycIo?U}~GwVSnVueoh7o)foil5i-k+XvG< zxoU3SzG)s_yjlD9o7;Duo-bpob@*8&wOrifKc_-`~)VUM- zL?YR;irr56+C7jpo;}c6NN(&}-<;=><6xHZ+gaxeb?opDh%9PSV^3bi{=IM|Ntp?23|)cF6jvCd$;c&+bZ? z4UTx?9)v;X51B{nPN?jjwap-(T{F&>%M?y-Z&zSdz!XX5Db7YXla2}rG$D+tw2(b4 zxSAZsDXrNgaF%D=Uu6@_b0v@#On;)TyM>gGvkqt|n=afU8M2f=;9QbqngrAuh0jBx zJy5~6%pT(@b}Y9yG*StcrgVVrYd^9TaqHc4xaOsEt?n~zoba-AIZHyFM$dCEdLiST zJ6@^#NGg()^!oABt>_oee*XAr&vtLiuV>U1IPm|>-JzgW;rk>ywcGm<4n3Qnchsro zW6^Toj*a_60L>nrS-pjalyfl{u!>*c^zbdqtp8)u()J7y0+()L-J zCAhC*bzpYr*&2K&cW*I}2&c;4k*aGwmzqTnRK%CbjL+}*E;iv(b1{-S@S?u{Bk#Qa z-o1W5>K^Y?@Ada|_w@tacf9X(9|8O-((qld0mdl;vM^AZ%*H({xW%M_D!8>J_?}^H z{$i0|jay|qRk-L{^76=QblpIhPRB@Hm(OajE9mH`f6Q{(H$PPhGg+3*EE&2AnX2VA zldJ30lHG-J0K;3l8;T@m#_#YC+*>69UrWjAZmwhv6DXIdRrFm-mGWqZBQ>4W=o6AJ z3**};&=)gBu(@7>#WB4B3YpMf0<4strRHMPnx>3nC0?cD<#cLa8h5q4G|s(A5zpZi zJn^kkBgr8bMS@(z8iob-r1qpkh532@u4BwQywTy?=Rufe_O`8#qsyw^fX03HkN08T z4u_*&g*i56x&k6mgMKP#M-vGeuL>&V%P&vt;c1v!RYiw)QqkesiVlwMq9Q0|T}6jG zh%1}TKd>e!221hF2P+TCAH@X*Dy?>WP;FG`iIn*&{A@RSWC`fb(*1WgW`M4eiLZ@kx*gwDh1jxtdjF-IW7!Mi08urI49Rt<>~JKM zlBRgshnj)HT%gY={5qTMc_cL}mr+wjs-BI8lY-C9T^q|nr_OfkLG*F%tuje3>W=H=^hT*}9q9DEP0 z`C9Y=USUmVlKJzLvyjYp9hD%zu9`Hd<$&MVLDarUml>b@bo;7eapt0Mmd*D(&Yk#lx z`0RaFXj{&BNSx^pgH#&ivl;2thBPj51=GJcy{)*7{Wt%deT*-tmuGu`Gd6y z%;2Oyk4DilE-nem-vc9*()hS#H-GR+GiQ>Ld{KllEeKdCRhb~UJ39>tg+@-Mo-kb1 zs=RR_nVB>z9Rwc*{P9$kIH@}9w5`ahNZVloB4-eRsErqswN@1OMp9o7Eh~3Y(YT1O z>g&N@@8XGW{xeELb)7=K+)oxIU~?#5&XhGk{G5faL>%);hN!eSdZ^?zjaueiiHJ(r zXajXp?UdK0!+_%&3g}bVdzS9vPBnB&BNEz5CMwAaumTCIv~z@nEyuMk1B5Z5`-5+B zIh%;&5$!cF%VSs?p?aE$?uMUE%Q%j-aM?)+eXI|lGE&sbd5jsHXWWhYMLiUlJ1v$^ z9-lpY*rNq#f-HNuL*vOH2$u?4aB&=)V?4DkdI&}OZP(5vii2UTVIZ~PTFUh;o3tg= zn1@yl`E?Z$%ipsL+y}8$cTK)nuYLXK95#PgtUAmhi%j0pBmRmr%&)ad1K3eHlue_~13<=D+(?&YkehYP1X|&e@8E6bI8+Z^0$Fz4&iC$tIYtSFRR|SxT7b zCO)BAjwgj}oIHBhpHix`cDvdRqdB~CN-%_}>exxFLl|S=QSLVz`e7W+58>Wpbw=VQ znhirT8`QLM3YNz)XSz8w<{Xass{$=dYS5N=%ti^zsKk^=o}H%?1#q`Af$%333_#4r z`DL_wZzsCc^eNYcm3~oh+axa?CKd@^TUi33jSQMNOO#NyHf%W|O!Y8pMb;X%^3M4x zE5C7sFAfIJc&P|Ooy>cB1^iXi75$E$YlC`5OJz4wBvf0RsAS&Z(RQECS~LXb^VmW% z&xl}E#}&3Bz7_`f-~FUY#&)gUcXY1PYl87{2M;1HMHBK0o!kD6fp8SxsgR=f)V~&~ zuuwZAiVpGSi~))*7lq874&`?6A|3^JStnr9bJ5zKFQ@sHrl4_ja|X<>=4LG!G7751 zqNC7)POv;Vye!v?guM~^CwH_|p4HGCV5pv-24*{^F;Cbh@Lzv=cTu&fq>&pBa!%pq znifH!sOtoUdMfwW3Julaa{7aNgF)0i-cwZS?V@37u$1EEFH>5r(yi2t~s~uL==^r2QTJ{_51TTzBWdkN0 z9p2wUQP{oBH8C8gs(uK?2RGP}7mgYeoQK*VF~P(G_5LBV5o;iuaxWRrPwjB}as~Dk zy3gr`?vp1ns_d*Z=G&tD7w?%V_eGCsOp7TWNFrHp9k1r#!S3#DI3Worqc8>`f9B0g z#@=CyXRQeBJcq(Y*P|J4(}h}e1Ip8ldy;MZgjO7@9{WDU>`#Fz|UR?<$n zvuct~Z~py?&-JwGVGTK0BX+jE@tv!SB+JU{*=3xiG4w{r#rk}WXBEZ@97<`;bCl)a zJxbe%8-)(8Iw2y#G*Xyhvzc|B%1ku!7TPiUV!cz=5UCSandSNoIB7ZLBbsA%F56#P z-b39b9bCpz&YV(CRPoeurEC1OU-{a!l^Bdq+~D|N>2yZ4S%NHQpeN%PE{?Lowe23_3!<+xZPdvI`CgyLJ3y!)!F@zVk@;YxPmi)Q}LSIX8 zujwGRqC?m%_txl#*g-BMGN^INIBnqk-bRRRpF)y{o18G7OU|&L>mTwxgQW(G8ya_r znaULTGv|aR%bsSUvvx*!KIMUUMb~}xs>035+vUS&_g_3SPqp`8XFpoZZK*L>mOTD3 z1xM<&jueHTj3hpWVC!YdNYE2d$I-$(dyZ6dn%yTZ_OQ@WtE;MilRn49JPM8IX791X6wy7L2*i2YNh6RAj4)BTn5C2eA~I@CUQuTlH30R>c3Jx}5S!gy@U`)>=#}W?Av; zZCK0om#VW4qc5Vq%`$fA-wwaKw_nSQA}!<+mrg;pt$heSBF5uOG)Z+Z&?+d9O#{Oi zDh}1a=S`QuSZ4-MYn6}4DKtJG!JfaUEm3h5V@VGmokS6cs*7<`|vDKT57TE9Q4@*|4@>=wbtg@ zBo}&RRI;LxLAvRrJsX;wD$M7Cz{3yo6{hpR~9%!mdn9KFv7(S%XI4FhGSsg|U-K5#VPre&2uA7KN#n)&wy-0TYWYe`>7 zHl~~#bO6oLO2oa=q<8G^-ov~z_*bgN6&)|BJLS<;^89!N^9Hihe&ud~b0IA0bVfq8 z4YvdEEA#wx0bjqSrjyXjv*=&3WHfZU-}{sj)sNm4fo0WJ6GX_CtO^AXH9ve zn}ly$(9U04pF{LX%Hya?yH8Ktu`G`Js1k?{8EZLKyu|Js=J-~@iDG7SsZNKr;s0sr zhesE@mjPfT5!)uQc<64eJYCG9gaso=t-3&T&e8H zNwa;zNuARK&UE6dKV)T`fBVxqx}CLLI2FbnpSbNd1Us>vFBnij{rEYiRtl&}GsUk) z=#V2{+!|V)4@fkvuftW_Ve7-y+JTYV2`F1Pr=V6SY`pZ-T7a=eqgN{Qa!e_C2XhcH z|I|QmYLaQ}Y*_J(TjkjXU9JEj4X_ngDuz%_Ds$QbvS=5U9FowN7;`%_O_#~J5S5fx zE&5_ji9pdMm^V`_7e@55L+-LdJ9F)IHq6@|cnpV4cPebE@GfHQ5wkIOgtIfie7$N} zE4uFwJ4q48L{9RKa!!cGCzgYLO*H^zPqd^y@^`}=4$hNlv=upg-2gM=VfwS%GGG9H>)`^Y*QN5PkY2EkTCKTx({PCFi6si1O~zK zr%UaM)9n4!g?0cSR=6ha-L>lhahpfoc*I#6&+Vg3G9MyUdd^TxBtwqm@->R=rB>-w z^O_F$VsD-5oD-j2@6be zo+~y|O$q5~6*z)$gP&w5{gmueDM|bp7R4P8Q)i078F}ATkgh5pVlbHoXjlQ!Yie2u zZ$2IIT8SVoP|ham?qg%>B@o+~XCFZXagF$|?n%Tq9k5dMzea>^U_)GmaQ-1`-FyK{ zLLWxxWtyfAGpS8<%OFp*NDM?L;4;;PefQ+a6KEhN-fr_d=^3VCx(XRw@2pBJY<-ox z#T{0Og*8^W>L1)$zfw-|wiLLw*1PIjUF+KJ#ai#GcXh2TdU&5YO8d1)@Iu zst8w#{c)$2ssfuT#qPM%N>zbPmF~fMd#9DE0-Gw`zw1i(TU2^**OeYLReJMJRNyKn z>(T?g-GJ@*%&5s(HpeU;#$cxJwgs)YslB*E$PK-A$$>9EPGTUTOj_gudgzk1xRM5_ zvbwZ&9WawDp!|I)W63cYcLPzx(ni;fxs! zO2-)yzvD`y4oz@tNpLalh0<=TN~Lj#10vP^d`E-w)bcWtH`g5{aGsBulkwjT$o*7+ zp|)&|Xv@GEVHzVsG0B{;=d)zKm_k>5U8L{d&j`XWn{5*ss6ZrrBUgV@xE!~DqDX1h z;3*sC%zGF$({w={77V33QnKr%q`b#;R5-LpX)cI$rPV_Y>PSd9eZiSZl}5~GqB^Kf z=R(KT;iaz%>kwJ#;y~!JLgmkzK2S8bz!LXCu+d;=XRww+)E>We`KzeyV0+DiT%#mR zWELHIFmX)S$!pg0)$ybKrHZ_FW$aE8R9&WR@;r$VXpD%CuVM1dlNL^7Tf2Y)4*~sx zntCdO!J~n4GGj7W*2p5}uZ&hI2*1Xalcj*bLm5ALFsSJ130*blgov=qni zsYM%MX`Lrav&N{;?Ou}CM30lWruvI?mQx)t+%M)<4k!+eaX9NU&=5~Vk8W-zc>fzL zQWYaAJiPcLtqLOl_?iazr4a8F%c<{Lpf9}=E2G)#s3;eBPG`ihpHW(j;+pQ$DH!t@ z*4@}>n5Y)0@4ZH>D{csT&>ZR0lOzkj1Su%8uUuE^2)<D7^d(#XFx@2q9g3Cp|DwF2H#@E1Hz>v|J zwBJAZX}w@>p@F3On067{gjNo|(pO+}wR7i5g*i(p{Cb5h;fH7f^ z>b4DMJ?h6J$_$%j(MuiCEj5sRCgN)J?xyb zO{gGa}%U%o?79DzKThg__d=?@WWOJ^(-itW1>(L%xr>Yb&b@_>zPjL}$0t=z^sSxGm3cZ0>d}SpT9JIc=@OcgPc2R(JZ-3C~`G6F;(&;He3+RM; z?1+*D%0zG*UWmNwA)-IscZIUJsnC;(1zc`1%5bco%xW4u48Pe}by2ea4m+)XECdVh zD^j(lkJc1g%dEDj&uj^F6@~qL{-7-HmF3542pG%u zE22*VuaH;d`8z&dOE^BKnK^Tq=H~e&ABz20 ztS*Qh)p<3&3u)wFsVk9on5^jr#!MtD3Qz~CMO}&!iZoOQS3Jq)Fp-TJL&!hl$wJ-6 zsrDKgt4o7LV4PpEUTn-bEM=Wv5!pX^Y*uKF1gvyZj15V2YdB|7$Y*($fRTP}e2FfF zvwgkTsUjK2uuf9_>|zWpM%K3xs(!K~`5cub@h6xB*ErVEa`|gyH-;E2V>*zpHz9cR z2JYq`)=PY(1%iHS%^M^~Z-tza166q7hh-)~m$&41XAa~n*$WQ>U@ zH207ceu1k*2Qz#XYR)#7odl4P$Yuw~of^xftPrB~vIw}#b`0E21?z1AdUreG6y^F7 znYx8fmu#=Ir!Goc)`T!3x}$wPq@}t^H8+3b*Ba=gCI$oJatd!kqaMbDq?yAM<+(-9 zlVP#KWvD-B;6Sc0>A7PmNa`SG1|;&o9fyODT99(zyh;$>&e!|^!{d#*QNA*ehFNrk zXZ=G3T*lNo&&#ZWs2Wo&*>`+Z5T8pSYO)Xf7QW!ZXiMCVUQiJ>KnA8Qg@^6tz=_|X zbgXNTx-Qft`K?W(UP>_*?xToPL=MenX*@>*_`q(SowMA~I=L*=IR2?k+a7Wu9cysH zTAGcM_g1U)66Io?ztc=+Te6=?8Uv0jbE!D?!2U-PejiiqH;)S4iY&NH)P1PS>RAIV zjiKNIH+>>ah+sLNrn7jQ%;4V`KgLma_h|R9rw^O~9JSKRRAi>&-1RWkm1e&AM(%qJ zCm5O$>WimzmO6CMJ5@+}G;&w3=kCrvr#UTE$J z6}f5?&0};yMUQ1~htsZhHD9kHlQ&s6L?(8bVwxYpgzBqx^3VRtCjwaFS@gmaa9zTn z#yN!%FCl|=z1wLruA+LDyQq;yzi|ej-YR{aSNknZ@)?@DL4JMH4&N4CBfIKll~icX zi~J(7N$slj)wl)uPB}MXqnWNvQ`HR<)R@n#Cv)~Xi7^x%5qaiOQu!XzxZ0DURzsT_NqX*f13kyTjRRQ5(^HA%Q)-t@aGnbprXuttKj@;Y zi&>E1+YvCi{G_TPODVb2?dLX1GVTcD0N8&xGenYI}-=AAIsg%lB|SNyZCP@D(ky)i$s#6 z6pq;&d4yTDsi<~$4+lb)b!3)X;ws~xR!j9WE(qWJ2|8I6G1wZT(pnPG{XmR4&e+2< z>MZ*D#kZ}%1k-V(N>&zFyvjxzcLNWH;2*~bfU*@!dlO&<^|uofL&W^JWyD`<7=}tA z$07~tzPwoG3--Cs^I+eJlUp)E18v8rCO3eJ5)IH=k@Z;A{@1VlLy}ni7h}Bax zv)+}k>tl5%PgPZvJ#iVsu?ZOiyPfMqawIa9g)mR%7^NJ-SSM-Js5=?nH!6XYSfKr; zh2=YoZDx-3)Rbb-(`dzU)ln%lQ(<|B&i9y@n|b6P0ykpK)Ve zC8KGEFxTs-d-~n8S3L|4;9f!N*_ZMg1^;#Bu^JhO}xh+}}v)p*B$S38JpTGL9J>U6((F{x9!3*R9Wp*nj zm3$MLm9`AB152%p-m;W&SwG%aR-j4#u1 zR9??>Q+JrYrOMsnKJ3q6K!7D1+q9Tj&J#^|vrY7Y^AIm0=F%uhqIN)53(cNye>;j- z&DJNwZb4?X-B{|*P+KWA1 z{YgXM2dV51cxT$`Wh*+P!H%GO{!SGztUV;QTRP-aFaW>mK3C`4HPrNc=Rtuh-Rp?Vs(Bh?o4B<^Y1+}D;;2t+ zv4`;Co`;{kjb3;hA1J7v=PtKm6Q0WbR5W;+{M zB|DNPO(`Yy!m|ovLo6T?_!>EluMan_iGSHe*G0gZil+g!Nx_yMuRdD&x7ncxwnr78 zm=|MXHH?e+9FKV_vDxECt68WX3Zqr@NI?yrG7}apAoKV_tyx?=wj)ID<@nAjI7QU~ zrOMBiWtPhf6z93fv~y=+xl?t^HAuo^@KG0&=ckxkM8ilhT#^8IJh~td1N>{wyeQB( zsmWHMpKzeVd5CO%gx)J@6PGnqOWxH!>dgghOYv;T!opy9O$?4%OrLi#r%^M`{N|q|CZKV&*RLcy#D-m>+Zji{ z)9D$Sd=zk@Z!CLaM7A^ei{iIP5pezeYS2F(bZlrVGJf)pOfV)eP)UH_8~jSNV)s{~ z6??xDt=RvSXvM)FeJhG+fA3eK6}!I@tr+}DwBnC?)w=o5KWm9NvS>d^+Aa5Y7T0n!?YL*BYdiVwbv|DU>d`;jbJ_k%Pu2L!TYc<}?W5R1*(J1f~$ z-IZDQ-fW4U?z!#V-P32fXJ&8heYCYQb5-T)%FLCsR%TaM%f-z?vMprb58wq^0xVe| zkdZ;~fGi732E+@z0Fng~NJb!JUVJ3L#CMDMB37(RRrlEAqjS!5Wv+~f6)RT6clmw4 zA1K4XWK-yuh?GhR^16HPt)a-CMOL}6WlZ9*zK10D6Kz9^&RY#wqyuVPgF{(}^!h#q z*6vfOqhiBi{b3X!v$Qi1MH<~7AKpJZrahQ97EGcQE6!%R@Z5>zb7^M#rDfzI2|WK( z%<#`T3gCI`x=(Dtl(a)3Y7pvjNKUT`ODT|GwZ90?T6l?83s5V0nZXg{c@zGEpB%@RM`EFvqCd9hdCWnRXkd*cH$FNbH|yo^UOFXr3Gyd0kCd5OpFv_60?H`k2YUZk2) zaR_|5#I4TO(QsUTIlUMR-&LgeedrpTB?G%#1T$j~&AM5w(uBXlNhPcjo?zxFx*igLO4U@`g0R zRN?Z|y=W?u9n>VoRMeL$tC`0%RD-STmD!xIuH-BMDb>-wmN*4lF)u|%$?iD#U9~7S^|W`$ z1c(%ff;t)>?twCRIE3-|0Ro7|2j;&6RpcotUZ6#ro4pk(agpdLlo2(p=%PjYDVguhX{mhf_3i!lOk<1SF|F>I6L zOO$KJJj#7k19h*-{{C5#Z2=|>SdVi^Q*pv2&+|zj`jB)6Z9I}urSEc1<;mhnZOe02 zaVK6aPb^^LjonJuB-_fxPuSLy6K4T6Z7_fH)K*8d=~JjYi5;-W=2;oU3wXe#8T@oG ztm{%#8CRNBfi3DU$zPeB=hsw)jYLEEvpTbkM^JQ}07PmpIpF`2-%nNK_|WP})sT^i zGIyBCv#W-lw-ffkMQDKxeFA+g8B=4o6w}M>`Yw{IUbeJY?Ez+0zSo4aL8_EHY|v#@ zvaD6M>)08wG7E~euIPhBb`C0gJve9_L1gJu<%U|bZ6ECTq zrva(h@&j-xA!s-nPk&melc~4FXxCz;=B|Lt!~7p2)jzdTjH_yo7(VvQw*Oj-kc{{C z_mC9I<7UttAv9WIn5z1Bpq~acCj>LIY-0>>MIda3un$W&nI@Nox$x*GQo9NT=T))% ze)`?tGdF23pc-C!joW*&(zcOqP^;7_B=;M- z60Rja@eSp>=;K}3dZt{LnM%+RJHiv5dYa`GxRemFGX7Qc;gbg`62YhUjt-?(OpA1D zo<5~#ZiTvQs`SmA;qpl7K>FKFiAYk;40wG*GJm=1H;nEd8* zxa@^Z(m#Z>1OJIU2DtOO9}Mmp3trctgWd5nO4z$ZgQV;g70AIU?5l?Z`UA77r-}L1 ztrYY6DdpK}m+|SrF&y=O{GI?oifRs1ruIS*h z&gPKE=j)tS*UJeojt+h@Ao?U$3l_gUUnD;nQ#pWhuT-*`j;7HYyBy2 zu-c@7uU{lHW7MMH$L~+9Oz=6>Klr_vgC?PG661`+Nd|mzZ`R5E^C4v-8(rryqv$4+7#SI zuv|4WR~y?4s|u}beH7^6~x8?tdPc zg-TCD`=F2Z>Gpcf#_{+_%?2jVl4?7df>;G)OlrS5y0;IR!~jh|vcJ2`%5F4E2-B4J zot`f`7RW8{x!*+goSDOWhX)78qtlb4_dh|az7zE9{Z3Hig*(OT`5rXn!)IKDI@q-aO z@3WKJK5q>i4W933`q_Hg7bL%xuc)lWxD-3!Nz_Y>nY0NQLh$*T$4gJwt=Fq$bgU@q z`hY%r3S)!MavCt-`M6bQk<$yFN{sN`mP#aA8p>booG*$Lz3*q~GqlGMyhCkvoS1lDYN&%kBp4I>q9jhYD9*I@+SfANEot{gz9G7K zPsoj{$5krfWdAcC)N+@Up`@IoA5wXSI7X=mH62g0no5W+Efu~*Ec2{4 z#YK$%&)Z8s11fB40^~_GO`xB@bU%@G9f&hZ8}Npxc7nQ1Ne{-WGqpiN*toV_UVg4< z8El_7|2>IL6)Q%6kkTZYGCX-6H;S+k!kTlo&X~9eMf69|%b%l}C zJV4j4L%HQ1smW{xx}XJEV0p5$o=t`ACv}N|a%+RYM{ca2NX4%Z_ zt>w%-+zT_9^?Yb$v}f5G))y*fU(lSKgAAXK(xZ)ZDiq&VA==8MeW4oqN*ekU8gh#O z*h64H!1Xw(guPLXp=#+BZqoH(hY)M@=I`JxbCq7WSKC(2=9_G3-lA-F;S4z-&5AK& z+8lUZ4u+k_Npso1C9wp#Z&mu=@0da;P@iToXL_47m^hWDwq?2CpE*y7TxW!(Qg;GI!#42^4&%?Fg&B z&?>Vus%jt@D{-vLO=QXc`gLLEEcqrgbCF(x>}Ii@K=75XSIK1R#53=!sAwgfd&UW} z?eVgRL3?Xqlm-6^;IT)sXN+4>8+Rt!OTd z;zIxR<^tDgm#d^+1TYtIG1ZO+SZ6^!nj<^qM};LLak=z*Nr|n2sZZvGs;u-Z;sN)- z6TL@`;2-Xl-Pe5L#WL$v_+#BTFu5zWVbxJl#<;O5gA{8^(0VF|xIY?KE6V{qf|M5A z7&?9T$=3`0#_kd~BA?^Oi#QD%XLY+t&2PCnl}x!5hsm6NL^#q=gs1!*@hLW zZ>uXM%fko1D#c`=WE+^k z$){Y8uE$HyiFjdZDoXgBa1Yrq3?a_2M1`FgPfdHO-MMsPoCn}-GENOY4M*nYt|KIj zY03>Ud{{IX^gsw?7dRz~8>h$coBQFV7@rYgZ2VzNi4bhvVoq9bpt&bv+=|Z$efI;I z5~c>b#f-EKzoDO-zsALo;*9QK>v7DqX^y~OK*nr;0ma=HTIF!vJkrnsa;;ExY27Oy z4)6?EV)CaX80yw>I~H3;r{;7 zJ|InY=c)Zl?M-k1O#AY_Fb?w#(gcGmh}T|Aip0Td145?{JlfA#JgjuNu_ z@g2u|1WsV&R8cqkP-@`yWY`O(&p0|2F2)d^La1_87L2$dOdOw|`Y6lZ!?bP#gn%l7 z?cnENOx%9ptL|Qg)_^U3*-<6VTPK#J}AN>xyP&?dN59;*oDI}U>qNFh1KZT#(BVsD2cG7*nOG3bENAPN~LEKFOygq#XQXLGx6{E7uBwyK50(@q_8SYP=*i>pT?5pM#jp(ke&{eGp(IGYlt{v|Yzck$u4 zCW~}+u?34u%Jpdg_46Dz)W-hJPtt2-WGxogZNsSCIG*Bf_MY2c^c)NjT>)wX>jj7u zwjR;;MpsNT)6%qSV!ouy-q)OTO@-_D)>9Dg`{u9H=EP);&R$$yl-4q}RE{2DBQPqs zB)!e(*ozfPArg3kL=X5SS#n|%wo~{;90VoeVTk(A=EY*xXtf6DjcRLt^2W;?&sWK8 zyMhe$Zc>#h;bZOPb+=ouN1}>W1Rx+pb8B;~0U5TGm+Fv_XHM7JggB#jc?770+RQU! z&~Iv`IA^EhSjmdToCs2kV<#|A zz|WVyz}92cO*T!cNDhyZSKGyPkEDBP9ub}D<_oChpvcwQ3%5bnP%xjG>7+^$dQ#xe z+D*=x0bD3XN3h0Kz}{hj1jYsCD7uTLRV#Sp#=ylaO^yoyW#Wu4jy5f1ZP2JYTU=N4 z57Vy2hGb=#=Bs8BM|wnPPrxBcmqW{-XK&79tfAMOj$n1--Q#Wo=RKs0Hc%TUFhb<2 za!-ijFGYu%`FS<_1pHcjxelXGi;Q(^G6x-lk4K?JvyBl#CA%Cb1vE z1GKTNcy41IiTi1YnG1MSG*oStr&AE|P-`>=rn7VNCX9|oiy6HUtLwa0N%+F$>XnPf zTcl!fQEV)+d_0yhyX-z0og#(=@vW=E08{vbA1n+=2E&^md>)B?XbUfI42|zs+RY zJ&C|eMT2Xs+)27j6`CO0hvM_RZ69ZXqX`_yCjlOZ0MZ^J)6!0g{J3K=bhWeB3;q^%&Z|}JMR_~gCE=IzD1;{H)l1l)l| zQwkp8KGZYV6GXl2+evZ&nwjGhdRML>reyv+OU6y5w|4_v5G)(*of_+T1J(Jnj~_O$ zruHQ{S2oR3Kx_8Bc!(J6BaVuJWUH`qy#x1oEf?7Y)d~FbC+Vfx;Rg1Z+p=h;LIN~Q zoi<2*<#em%Ah27hw`UrAK>{2=vaUiI??|EEMhuQwyhir)4ubSMvZLo^J3o3m0eX~` zy$=U^UbeBICp$~?Qc;_&^@p>u_sdr#L{0X^3%Np3-e-cn}e*T(=eZZA09 z)2H_zKeomZQG}b9^j+(VdLrbWKv;cX0dijkFOPD6kfu^6M)38+s66L#%q2)}BiJ3w z$H(7~<-t}}G$Eb?e^5ziWHUB!AuhCl5hh7%-GDxe~7myiEQASm23XgpE}q-0eV^3N@4q84iHpaHgoQnfz|jJRu8Ab zpZ%ae0|RI4a+je)uNaF%fenl3?HJ-o zTV1RF^^3cIJR@oUQ*@mpzbe?A_?atGoOAr4M?}&cUDN52>h5A{S?g#`HlB0+x z^Q`fGuWP*dN+ULQtymt>h{goMuaFc2j#)mwU{U`XC3nI8l^}v{J~$Ge3%OLJDg=K_ zMQBZ4a#mi#cDXY;l0ZZ42yE`5?O=1b^K9|je6=&$_j*vr-Ipr3%x5jV^E-GBxs;G! zaoKvl1^2fLqTJ;=**O>nC6d5n>K$y~xI+ydM(rT;4oV`@u`yZFr6>BxJ0XlbEGm{{y6~ZYT!m!vBApFDHv^1{Un6pfWT^N$p(?D}@heyyN}-;~+5N z6muYNcDx&!jTFL=RG*Cgy90J_5ySPJaaWms7B3$%9}|E=g9*{7aEVHoeotCQb<%fK zBN`P&hr>~U1J9{5k#4=kU`KASr>%oM?K#+kQcs~93I-d&|0#r89qKT^XZZ}cHB7a9=YCCEa<{7p}C&=qPXWSV+4~GnMUrOvjnhrI3`rX3SYLb$X z*7zKuvu`1^!m2|2SZm5bosZY7vwwnU(;N^%!WR~54tg1?gb&Hx3MyLzj1krJ*2R|O z;Qlt)%YrGWad?IT19*Gzzu~&(w=Uuaerox*#?AQ zV28kuiM#;J@as^)-R7`1_Gb<6Nwu9=4UQ7l%PPGz1DVc?%S_%JT%_TxK-a`filk3$MfZ)oBTS~Ik`ye@W=SLvG4<~LvdvAYcHl{WuXj7{ zxZCk99%{>7?Hf;Q^u6B5LC1|8yq_CMzt@{M?6`@;_j40v`Muu7QO8{zy{AX<_x4RW z?zpStTkH$>las*@V5>XnxTTZcw-k)H>Bh$2@4`FnxS!KoJ)+~bJ3$+I56RZ2s%+zX zy}h%J+dJ!hd!w@L-bUZ!Qvzb)w%dU3-_vcR-|JnBI_~1OX2Rc}8zIqxq+$o2{@_v% zX;O&l0yhn9Y0{1$JRSIS%k{>8iGYU!GyWKhC1c1dKh(nj^Z@1d)NpEqd0pdRmINJ- zI$(8QCx7gf+jzUz9R<_h4@06dyLUA_DF*WqWxbPkQc>@XBoH}ukVrpZ5ELof^par$ z)$cZCI)&4(rsop~VT{u0n|)+9y7_A#graCd3{qwbb2`)?O1(gVqI+=Hmc$CDKsVyW zt2QzAO8Sj89{_+h(6~?wYlMT|DI2Mk%GEGU1F!MjEGFA!v>~$#6;oE&hKuec4=tc} zu!nJ34Rt{#KTG^azi`_`Vl0Mi5nHhOdn#??q0jW~fC&Iiw%^aqKV4%)j>;^OOt7QV ze!qr5pL)lYIVuU~dj{+O=Ji@jYahO6Lfh%Q$fwHSl&kCKk?tqP zYKzaik=j;hXx~+))1sxqf{lmtuB;p*uH|zl1O%LpnK`#!XULKdg}X1cSSMzz%=Wv; zv{br>R$+;BkEa%u&QlaPMTtBo9V1KYSA$;<+}m?JV5Gn?{d9ysWSo=j(!1v?tIY0p z1gw~B68a+u>CR#j<@)u-d5HHH>uPd%SFji+$^xv#o$zs*_4o;KX((1?H$=#1N_vr3 z6)&YnLXX@>zY2(_$6#)oPWXP#7haWdRCWmZpv{IdI6zY)@IOgCQ8}SGbZ2#4NZ9_$ z%zXWDQEZK^48EONZpn+Zx%|3dU;>lDv%>DgidRXktXRsMul z`3ygPoav8yuZwOzXen(=iEq;@#k9}F0=|oF4)w7qINa&EY0I>aX3U?EWUH!+gz`Uk z)8RT1f@q(L@^~}fO-|td9c|`y3RP@U;CjZw+e4#e4^1Xrin5uPS+=);;gxLIL??Z8 z2;eOY#ERVbG;3X##-^>LvQgD=*c2(4F)9?jhU1Mmg9TpVQQ|>EXf?*j@$hZ|Z#&Nx zGv$%3W}v*u&0$Fy$)W=w%`XJBkqb|}faawVxGa`0*{B9@Z=YeM+K3-P4)9f)8R`b~ zWTpDADYuznCp$~MIVL-o7f3PmIn3h#;zd&|h{bPPbW4CmzQSK)Yp+nm85;Tp{>xzz zmEE12#^Cw=6sps_g>0rFOJ_@4L(DaX_hF~9H_0IkyMnc;Ld(Ew)9iFW0bpKq!22!> z)IPs?+=?_ObWRw;@yoW>a6jcrRf&Yu#zfc;dMAK*Yh(!SBnI}kb0NNh6UDnxbLp&j zo4$W3_HH{=>Mo3bS)=v+gbChXOy^gO<+%&ZFJLhg$8T8Ihxk*8LRqqxyz<|$jfZq5 zFbmLTh#CvuM|;iS@!kQl&fq$_Pb8AQ`e~DpyK<9bA&L5ln)05&rTspF%`9YykWwwL z+3FVN73J35zHxM#h7|~o{gJ4-%*^iLU;JYs3qg2xP1hAa4fSLYBkrL(9O*B`?0h}pHml?iu9-ry41rh(RB?6+Xbj|Gj*7ZM@$>7FX{fvuIz3aItj)m#mgCZ-bpf1)9;AMGo@k{zoyQPT`I)EEOUobrMH{IqSC z;+5T4dW;^ijhI`P*!m?LHzk(eCdZh#gGDTqiHLL+xWA7BE7fYYVAb}4Du2Lp^_klf zvDYZooPR*5%8!2o&r&O)1`U2}BY#d=O`n4VVT!ra~<7XxJw9-Vxzz#j6r)QwLwrB|GQGLQ^~-{ zh&_l|6B(DY3V=t*4C?||VZ}DhR;*P5AlTI=!4K3+!Q*6=pe2S*gKjND$7_#gM^#uX zF3na}lMxi@}97D_e(6&djx4cbM`*Vu9A;I)Xqc~HsaG8y}!RU|gR?;?FPY{V5j$_!mYaWpTH0C6&wcVmq}b{B*Ur{fhfo(!S{n2bC;YR?wua#NF2C`bZCUK;d~cpEEQECt;VeQU^RsHp86^Y zd?DX}^)+}rhAFGUqc|eXbK8h=L9$c99yIjLoR^t&oY@OWB-C8HUDQozuQ9k_sIt?^ z&f(DOntjStD)#hRpj8)+fq!9Z{OXOt5uQ>Qq*qg)(DkYzD4tkFe~;gItti6C#M!-{ z;<*zPY&2!m0~0~%&0%+z@&zg2(v7U5jP6lZ8GJ9N3cWL%vRKcr1xG-I1C__iPw$i{ z8XY4d6K$$~7C5cn0JsY$MYiR$bR>q-tW}G8pJ+uu((Jz=%iT+a}L(=ss zPcC7SrgQpuH(7yF#r0qq!Ttnhz15!etoqtB>`$b0D3VAu8a}dBSgnIr&TewcUKApx z`A#%OY~LE4zH?NI$2*<4xP+KEP7rW`dcPz+2M;)zZr9MrisRN)TA5Qe{^k*`xUW~x z*6cyD&wEd2Ovs*XyGW3*xUQS3NR5CmVX5&hHYsESK$2ceH))ko*+&q|5mu^roW>h=VI&#JkEdfjU8o=9f;DY zsIHct^s0lEAQG`J1mAI;j(F}D}-FpcV zV+wCa%I7y{Mhe;D&~D)V#p z! zNrqoOns3V~BF=u1furI8B0Aa_js6A7a{>72SinzLX*sKs`(|%W2?qk691k)UU!m*aiP>N1 zLaU7P0N?B1&&|I` zXg4G^b!gldp+2&lM#g5@c(I%OJjpR_1|%bk>*YG1T1p74ICubn2>rQOn=5hfJZi|z ze35N3Jge7KULhbpyq*Vup&O}Uy@y zfb~+GQi>VOH2>xJ#F#>`#Ta9VGNK=lyHx`0DT?kytO$M`r_<`Ed)!nY!N3KUMX)_t zL%LfvV3DqIZ~2353c-BZT-i*MUfhlYSEC=X$TlvEjyLIVG3RTUFvV>2%{zx)chB(JV#9`=ZS4$S~}U z9+&yBMyJNp+Hku!f1(CpQ_hNoQ+j0%&A7HMOj~U|L=i&I7`aA>;w8A%4u5I;?1oUb zgVJQjt3(CQzXw$X)Q!%x=p_*Xau2~Q=wgvYU~ss1yNqn-?X-Z^jD<2~D(@sG+i z;?ftl!Jyv!QH`=s0B8ED9qMm`w_5|6-&HBBtvzW0M#DC>kz!2K9ajXvatkw<(UTq@* zwV^~`>p!IMYx7SbZ5IC}Ce)gL$mzy&j>;&3;UL8?H!acMCIqytH5C#>0(sS1hp22e zdx!Qn7{ld(yZhcawIZ+Wh6eF+)t(w|*k)|RJzBj^CdG=Eqi4|qLx-M1&no!>WD8d_>&}eMPS280w%{$BgW$Q9Zg#rO7zX9GHjR}eW&^yy z=p+eYYDG=HOHXn)u=BR%s@QHKp+J<}5J*SRM{OIU+)Q{-aO0jljAXM9#^dAT!(`|9 z?B3yzhmu3D%uFvLqsdpsw=jks67iW!SS_^gK-2(&N3>Bx8Xb=IkCUB)d&h1-)GYw8 zo2H+xP}3!jf!Kxqgnzd+zqj~NV+aF}TU|HyyKP=lz{S|lV9KYky*D=wGxOUYt?s9G zCe7862rqsN_~L?KrVN8?Ss}iBP;3U2dJyu|ITe7|9Nc_>?@*IRG)E*h*}ief)zh=1 zs*MTxR=myoGFvTiPWFOI0wxNzx=c9)(Wf*P9HlLWS)qj%8`e!+KxC$3Awt+p0R4Oy)d zd<>OC!e|*VbG!TFV+gj*=f}q=2!vtjo4-IS4PaO@NWZtB*ay+sXqlM-78Fi0p8*-` z=6Vftxwyvjg7xDl#81F~k48Hv${K8vk)>Wp^9Asb%N5nIDe1gZ4PE@#j%e3DU{1L^ zJ!OkBf+3otQ^`}i={h}vwEOAN=|F|r>{alsITy{>a%9s=@izzyM{&c#M+5gZ*;X#8 z?a&!G)xq&QWsvM?B-QMhFYTN_|5tVHi+zHX@!QYjR>?ZZ!!ooTw>q(DX^RyGfo3I||bfmyqy zY0RY92_+uxP(HlYD1}pdw<`M2UCo+3sehwzaYvIkW6~OXJ@as=^>UdsdHl^|y|q|@ zF*))GAXVdnv5y$_)n+^vx8K@IM-2T=iw&CpduAQOt7E}GMAbm5uJ~^{OuaMn@#FhX zpWcTUQL-~jukVwH3oJU0p>1b*f!J60hn!2Ew7El*6$>+XWZp2-Fuu3%=!iC6F%}n5 z$ZKsyu?vHHrAhA{~o$y|=uLv!@sz6Wc#;Ln@;x%p2%Y-iL>QOhJ?)2+5k z6r!{o^U>Rpw*+a0`8aVT&dITIrGC|fJ_*7XgV0=2msKJbxnO7oPxPlHqw@{rVq#oh6 z%;aG&3(J8t*{V<%942)uuqQtL^i)U&LsDcCi;Im*;V7{y0AT@w<=zhq2jp?{EJtdMH!n395h%yehD0X>(G;$fw)UQ4_O|BDDgz z+x)Jh#m~Q>{Ev_=RoB%fThhj1cE-XLnr%zl-=l|L_U(^=;=JYBUS!Ley82UY&x15X z5fpr3M~45y4{y)63Pdk^XD7+C&!5C|u1KZfVsqC%IiB76h`%khp=f|KA_<4z+MP5a zSwBvMBck-Gwlp(JhGs>Kt$3uBPG;>$OQTwBoJhM+sQRKz30%T3)Z9Fqb66j8X$u`E zR^cudmW>mC*F;w533Qr&*rBjwrz?R1@iSBbW|q#sT%+Ans{k4Hd=3dBRr`L(_8c`! z+tRHQ@r{VN<>)p=Bw<}b#lm~QGj11-xy-E`^Z4!~^(wR~ zs)i~&r^(!RN^OJ3%c!dI@vw?Q|4xRSSnJ2vSy;1@GbuziH zr;EI5wto2gI|3M4m)+bFhUsT{IxTases859%44`QQWAf!p^|b_{jib|x*Cq5?rssPQ9LTLtK`>3d6|3#t{K!; zrN+pN2)c$`=W=~0-RuruR5`b2uhuwM#l9%&{PW}hAb2@aQP78YBLCd|f@QlH{bkmF z)lh{98BBy!TJ7a5f6X{~V9{qS_e9#T+p3jxZd5JZ^GNkdyr=S8t_2V9ISRSj0{f1OQlSLrHW77URyucsqfM6TMzUXVOoEcTe* zR$yW4k7QdIL{XuSa5t!R_y7)Z!$iAjQJ|U9IHM4O0d~*Cj4(7=rh3*RQS>M zI#^#D*){4q&n|yK)p#?`zi;Qp5BD!qsoY4KNRk1VotGQ8w0>Fi;dB5f-q_rU1Z z=nJk)LNFB?m~N7>M<^bBle>+gGN)4}MTRo1uhVI&fWr8(wKut;T$hwgvMJmg{;pP! z`uK73)cg-tEU0HO0(*%q#Bw@PR{e7#vq45YH?-V%xihs;5MZ1H=bY9e>fh_t(sDIH&KRps?9H zvW4YR(eJjdbE#2Yhv(dAY*$fC6}Qp=YTdB>eh%PbN_(NN!Hu*UVNzsNE2E)lu_z9x z5;~r2%)X!Hi|yum10PuRUI`tm*t|p{B5cIcr_CuE13{RGt&=}TKx;%a*E#jO;y=?9 znwz;Qv)N`|(S}D~-qH(q&JkN-I!noHnGy|^bc?+Y)=Jk&evy5(NWg|DrxO$L^&@T{ z=Cn3ZSA4UEJRR?&md_VS+k-2u=!-4qlmdY_fu)Y<@O){~BT5 zP^InFX5*uzH$HO#ZEUK}tB7Gt+2YKMeg63alpDXdln^EDCU#^vPZ!+J?8zFy`tPl>Kt;~7%>qM)DHo3NFN!Ryp0}q$+#)!OQaVUWp)7@ z8aq3jsZQ$MDaycMknLd*`rEJmeGkeMPW1KNducCeZWG5*7UUi}+qA zdlnqT$-O}SE+Fb_cJ^%zew39A@5uJmEV1XD+DHhw2iLpWeC-$!=C>b!S{LW1K~Tm#QDcU)fnfRK8ku*bY*|ueQ!O(sxh;@Ym9fis}{DBLdqh zjcmj8JsOL2>`Lepk2M-oE1@zJ0vNMQe5M*cIW+#|t{9nCzpW0e+HcxOMgm?BS=6Cg zfe)wx{7Hr<7yUdY$ktPjN^cA`*|jo9criq1r&)yFBNnS4AeA?ysRkvo3SBwSeT%cE z(#9&1o^Es=sXpS>yoVMT%$7^dS;muiixT&~pS&`AR{^3vST?SEv6*PmlYy0d4t!3y z;3#We=E&5kSylW12ev}WI9!bGVWgD$#XKv`)(bI!^K?5!%JbS}bed&-?uI zdrzO*gI8yqsnQ^Ro;av(MM`E;W|B#wq*H!*wDl-uCaIx0V^$xfKfbD6$DngokM z;wyHT@Q6$Q&)rBHtHu4{U8LbpqGjH}J>^R^CB{fuY_4rM&q09Y*X{8?K5bG|zu_|2 zHsy!_q~?#h4gOo!i(HO(vY&wvndL zqZh^ZBG@?2X=a{m!LmBUL*%W&E8}T|Kl80Xm6pQ*&;8j zNIyOLP^>V*NcuTYH74onG+#iT%}WAK^3n;&+t$5r1JgxOuPMck(cb>ap3UvWNZ33T zG6~|KksitAK?#&l#44H6?ApAtDHKuWZ{I@kDVoy%2XTTjb(3>ZRu`pZ!F9w=E{tKd zTOc$V@@~Y@+vfOKRo9Ex=_*eXxm)uR!Z97+ZRAeT$H_>K0$#Af>}8Fla%t&YE%OfK zqO`avsG;%wps>4fkFX{97M6GH)ALx<0zi7F4~|4fSGRt zMPM!OExiZZ6{eeTQ>>9BJz>^rMT{hgp1hQ452VW@Z}-k@NU;q-Y$@ZZF@J&=Bs)Jg zTfwJ@PvbG72Ls+oT3)i-smFiwKYth=$Z`(5fLtVKgS9?b$?oR@Gk46`LjqhVDwVeR zNJ0KDgeRmB&i}0C+BWvz@$xLUuBdAiI&7_kBY(oy5I@*C)VD?GL1@ z9?;u0d9!@?JK2nSU~CT+jP|y*|cZD(n_^utIU<_u8k|S0cq#g z*}~y{7c;5M-}MD*y(JLSK!o2qhx81}QR$dOF zh~W_$jYIHJ;~RDm+Tbe_W~GnmI@(r|l?~W1 zTnO5WjQBlF)3T|dI-9fBrdC0rj6)ul*jZ``0t}Q(_PLP2>cXrhI1$W1&_XcR&#oKo z5)FFjkt_7lgCPz_Z$AJ+F;2>T(uaF)3+$nRt0F;+N+4=`-<7hN8yhgAythNcO>>G< zt>_c8sow{sdARK}`~w;QBjUfq)z*zPlyIsUG+yj09Cd6<0jiKFJs6N+#kq{*wq0Nb zgmHILe&Wp{5tB_aW5HmBirTKU?;k&@Mu+!C`^nDP;jk}k(cbnIR^;5`o&((E-?w`{ zxp$iE9PJN>{X~1s`neznI;Pr7VJUj)%i=1?BR8Tc;yPG8OAxJ+oyCLg;j!<-KP=R4 zbao7UST}#`!w}+G3%94gMnnu9OBOkd?o=}j^@ z-UeUuPQ6{ey)RuX2Ke+(NS0Q6sbHPCf;cO=WbE4_GhRqZ4(nojZ4q_m$Hs@K8t^9d z^UiJV10(^09|x|5cP7+$lIqMGGKq`A%>DUl|ConHJNRu!M!$MbL)sMA=FLmW*Qc*E z0)T>buCg2fk~-GFt7grb$Gd+-P3|a%igSnYmRPtp)#}D|Mw5VterErJp4hJ z!3#(U&U<929;GX@SD3f=Q`xniP$)bKl$KTMLN?;A02Gn=0by$ah?m5FQmMASRd%o~ z6|A#`FC>yuFX)NKRu&U51)rGp13?rFt`rOS=*#nSGkgdg!k1<>4ZHaN<8?V9`+vv% z+-xZ?W479*$6KaS{$;TyelENSxEPH`4$iPWyGLh-`^m%20ti&5c2^@}I=6b%@~@P{ zy*Wr=0$yP2C**8$tk>d@DvC7G$9q@c%n%2Zu5N)iJ-E#_;e&s1X55`lrki@`)@Iz* zz}6drmjij8`wI}bZDT~sc?D*ZeWws|{{|~RmI#4_?EQKU(!0ifnh&Xnf+GHvInYxk zAfv+EtYhrL#}!TQ)!Z;Y!lrb9-R~}!_vgdF2Dn8=5nspVhG{yWbudekon$#NM=;F+ zlS8MQWl@>e86t6b6@V%%#!qLjU_u5E>p0KAfZvtTaUrsC04FKBf95}~2>+k+VW~8M zlg!MMRW&y)v};NPZSx{rBICDUYRnrjqdWV=SpLP*+zwwdO%VZPL8l}z&Q5hLP7sXWN@YR@%p;eTdy5o)T1&mOm z2Xy;)_U1qQC=9_=M7k2m3i|*8!tgr5_pnL_46VJyhEkiXa_%k!HE7eamMC?M+kF$R z+-kg~rI0R>@y#9rx}u#W^|ZSV0tKR4CEw}c*@J^K$2npC_L@65bJg=0Ai4N4rPH#- z4BZ8f%ii&$CFk~v3X|G==D=fGt~XUIJw{qBt}5+d{bPDCK-q(?hibK{-;KJunircp z_kO;iJ2lO*no851+AHqdSD8($RVNS*`3yHmTPlv`?#8>2Kk~1u%(`88m(eHwRg*PldW(_ULTm&6U9iJ62}&QklC#m-iB#egS1YnB0hpa~K9rc`5O`(2 zuWGZ=RRf50d__aEA#|3>`)WMJ-BM~`He#OSd5Z7T6obeJfnQ(>5G*zemQf9R0^A|* z2p+O#bD_AB*uiqT41O}OZsP^8u_7T}mEgaVpO`s^)i4nC#|_nrKawnvA}Yj#x;{FW z*>~4sgz9g9AWGxNV8RBxIZJeq0D_g(IiyaRd%0ceUKXWYBnM7)+*T!G`x`9s{bV(J zpWPko170r+$^!9;N~W;xn$XeFkp*6!gH^uFXSgM!r*eJ;A9;CRaT#iwoUYe?oCC`O zNh4{JG*FIEhzbf?**T*lwL?Vh=IizZei{z7W)6LunWy==u@V?xt^yJAZ9iAo&45B#cYBmhssF%7FfXjY^B(q(dE`VaZz8Rq;>{GDy zzuq$p%`H32^gs)R>`-u0)o3?yl8o*=b7fiTvm{-Tl^WPmY%=fgMzwUtk$gAorT_i) zhs~wmUdgw($scFNIyWyLh##3I;iP=hDUv37h#`#=u1{1{*lL2L*~+XLWB%eqEYnKh zA`4a|;TyQ z1BKwcfR$TXkKkxdXGQYJbTRL{zZ&=153vJ{(VDh=6x(cL7`+DW8AW7{3`lU(_(gJ& z=Bv=-X{rr?ACRH@`a)ZrUQ28A!+3la^vIUsu&rtTr?gGXjLR5E$`#w`e1?XZkC=?! z{i0amP@k9`bu)MN2GnP4^f)_|aQNPD{wu2Xbg5s?O3FqFsdldlEHkf#85Iyg(bfyq zxr3m1`cur%bD?yQFpndsfmdoTs6PGx8lk-jK4!>`!d_i z3!DF>zo?!GDY+6xpQW1`q)21vX4xjq7fso!fu-Zxsn!eQO7N+5StL8_EozSsV>SO2 z6?Y}!?wG>6LA)$-*>@`5GN}G>P*!tpA#lFy9(wKv4~~wI$jtNCkB)qQUGM9kWq@M? zWdifEEQ)Ep+t9p(&2d-ITWm(SwP3t6vt?eG|G%58ve)S>HUHR>5rn@%uAZCfLousk zNjKt9@O`&nw*n*A&z69}>*!R$!j+vKstz*stb&dL&t$-M6&?b{=9r;W8*99n&jzaI z`{E)`;Tou^*vQEuj1+z)v(>8g?h!}xGl5OPBp}HA3hauiB1&|U3m-@kmhiMcigL75 zvvAFBgw0Xl#*ic>u$S4r@)iAx7CSXSL|O1~;p-iNt z#GgB4&~5@Gn07CQ?Ax9*ldGa`0m{;$4 zl|%Y?y+LLfJkZ$K{0v)(D0mI{dbcgCT_XdXk;{qg!>VpK<`q?Hj>0O$Kd0EXxOrPI z3xm>|sm+|8!^woHd@buNci2<&&ax+u50QFAq6TrlFpRc1AJO*ffN9V##nou{F&i!Y zMYpDlAARQ|KBbBQUP_`V;B!9-k;-4+dvQ;qL8U_~_vyhrnJsm3^Z$KVH@j;E(8fW! z%)D@c6kl)BdGd?&?OSsWRGS_axg&jh1rW{a_7d1GYoooy)J%B(HY0i*+!$ifhAyG* zph{NHgt$o2+y^f`WU$=jYJpt?ZE};$H z9YJg40#GaLF@aKn;LcXL5=q-4i((`xr;}Eo#tY|6&`6b0jfA?w^1*nevtr>m%v8|Q zRS|R=fL8T^EDh;{c}HD8Yy`PT6xLW2<`DsM0FqO)ta3zmEDG_J(2dH5VGoRwAg`!K zA*J3of0drGc6k&;12H|J3j~cmee$uw`k0kC&1%YyJ-BCM3>q;!4aA{(;c4b5VG10G zd-D{5FY6pM>=9XmA#7unyAbviKAED*eL0Mf-8Q{_aac`Ea{~A7D7!5R*_FtEm!F6G z6z}=m{NrMVRM z)O-*Az9m6e0s7{IP1EE&913nZ#q1J7QQgFEt@P9nUGO#&m;F5umsq5 zHb8ihLKq7d92nr{S+6R~T9mF-Umx$j1j;XQEexEm+uxhdDC; zvEDr&v4iOX%fay0p>NiBpQo?Q6lJ80C;kt_ZT~M@G-l3lE`A<{^<&V%!)ZFpme6&4HYuY&-Rhyx$J6tTeYICeV$H>u=q$9BDzgQMW$8x0;mUM{$!wjqyw{4$~%Yw^wYOlIZ5+Z=_)sS%(jB; z&p=b670uvd=n;yB`MO((6GckixiS6lqU=*!=hM63z{b%6pqcSMkpdjA;6^e4waB?@ z%z?Bw@^+wXF%kvPx^N5IoY}9<%w2P1jtabkEI{2A3)smhYU=qn-X_6aNAq=xCl9e{Zu@s5Tw|NDQ4TN>U!B-KN zhe$qb9^E5j0JE#2DUK`}NcVAW+Li|Qz)&{()NAvuOCn&EPcNf7+ZxuXAAz>!qrIDN zQ>#8;vnM<2VvX`yih$3{nxNBbuTfHwexKnk{|MVasy?p|#SvW1FU|iYyJ{wOj*s_G z5A6OAep2AL3Q#hvAYpnzq&-|A!L2If9 zRHPZ`0kwEKIar!k6Bb7^{-e$6W0XgW&5J;buzB!yD?I+O5HG9h1icOBrN2y?&>cLi z+Y539un*BlXcAvgJUXETjlZ&*=p3QzFrXnT*HkqMMgd3cfQ=Z{);i#B|88qG)~Yb- zWUS{t2v5Gtia-dUmOeP(JqXn}is(F9p^jd%7d5fYIMX=y_d5|4fr8-Q1$rV-Xd~#{ zc@aO6Z6R^D+Cz&pn5`M8bJXuh0SckKI}r4-xh#(M=`Zl^^Cl~O{hRzsFR zVCEE+*hB&6KdV7Ay~)i=vm2u4s^R1QHvA;5HY>cNgFDa=}~F0ai| zS_17pV93Vo5E`T7a#dV0y++e(W2{+(w+C?a6n&J+6#?QTnO%I6ul(9K1nR9ka;N># zz44K7x#CL~4{;igB7qBqD`|zcKn3g+mh8p0d3f(YVqYIaL_Urf@e}%5)}C$Nk1ge^SKG3s5&k}GMSGf)%qh%=L7?#{E-^ob z1O9;4@3)jO+>&us#;Y{ru@?T3|F-tXgtZdLvBq(kEg*c+m9PP$8kVfubg^2PKbAWN zjfh9viD~Xvlj6;80>JVY%uqWXCWVGb(eY9_s;q7hFI%0T8QZSzjHyG5KEpK}llzpmLRnw98_b3*x;JKnC;JuBLw z9gjI|IB2Ib!Z5{;VQKwI^2;hfZZ{>PA%VTXpb{xv-E2R12pZ`p2#sCk|24>d{(D>$ZsUr9T zB)p5MQ3W$F#CxwVb%*rmC6xNymCs4h`rZ6L6qkyynk(38$!F$%+L?_OkeqJZV$**d)^-!p0UQMB}e^w^Ur=1C2+$K zBW-0t{xje#RYCQ$s|I4dDR`Ixtzsxv ztklf#bjiv(!|RT%h#X6>$G%Yiw6UFo7W!~}< z$x*6x+Qhj!pmJqQvlyT9O$w5Z$!rTDiDYMVijoSW)6+vj-T&*jPJ%SlQY!$v8JBum z!HtOdLa3$(7)@H)O|_G?t(UT*BI?ml0OxH9oUHZ)=Oo`IGy5}O(zhjS>39ug zgWU;b%mb`dH=7%>J(}AZxSgq?7Q#_M7sl1k2#LB1_P2nO+&WJlGq?|B@=h6>^8=zs ziv(gdahWq208Qi_yZ3x$v%T+4uJ-^_=_0jNps4J}>3A&=MarI&dBhJ0gOPzIfN68L zRm2FE<1qyA;J>&e|1r{>U9K0!HI}V_Q)h!3){hh~5@I^w_0c+2KNDA8ID{hHqE4fu zFe}$=`qS+ObE?@Dly9J)Ly1hkMhc#vmHZs-JC!iieTlpTW^`YwE8D^kL93(Qt&VQd z>bQ5SJz>4Hid_#b%Hu}E!A1Dbv3GskCXFkQlh*#u(wNzm~AMUBy!ydx(I4Z zT=k!YEMWNM2y$fR{W4Z(wrbxPC3NQPiF_-nSNlS^P0_yF7EiNE7cJQn099KSLk2(6 ziN@^Kx*gfY+Ai)VKv*j}0iMUj%BFX9m|F|=J0 zFlR!jH&!pV4m8V0yG{6V1UPDnobM5$1wI|ar$A1@AQxK-!O6Y-lTig@81Zj*6Z+8A%yv^V%gxq+FiN6Ew7?6L2GjKg zS4Fv)aq_IY1gMuToF^Mz)eK=LLDfHB;MFzjA(N(?mD!f0i1wnw*zHAI)iI;N{GwdK zzB~%cjZH_!)LNqNS;AX_FU~Ky@Q?ViUvzS1hdiXs#ThLUY{o%42h~v@#m2Rq;L0y@ zl`6X2g6W=IV)4WtxJ}t=4h(-{+J3jC4e$@lf0>h&h#dpLk=yFF2^jiQjM8};h0QY} zwVBVFsxrG3n46i^8HrXWFWA_~X~(;7x;wXFM~m6*%fx=Z&CChDU9KAx)o=cVTFSYi zvyA*(K9az41uy)PAgLa2e0wLp6W*fL|Pq)LP z6yiS2+x6MU&pD1l6Q`Cu?8)g$_i4^}2+Ug7J?dBj8wtYYEqi{srfPgID8|A*{R1Au?PJ}dXbaqVG$+8Ax!^43XCZt5o`BJqq zu<;2XJS=L4x~7l`K>w}HgeHAKgR)jiglfdkM|bg#q)ybsJ~HrQR|zAuYW~?2lLKio z8>GgxeEYV5>tE*^h?5q8r_44*jFW^AkvJ>lOx#Nzg2Fs&H#ve2;UK{%$45?WRxDSA``c`&gRmp%mR%w(CjX)k}AK@l75eGyZ0tbM-Gkc&NA+<+Ow9URkX| z`;Yt{(2G??Ut1j<*8>{oemA%QNQtn6jBWrwaX;~kgI%#cgovDr*21df-K=wUK-ZUc z`(!t{NMT5yz(*(>yPJIW5EkQ~{vd>p*Vrh~i;x4XnJZT`6U-|BDYQz%blALueLBY2 z!cgs)jBv1QEs1cWbgup}zX{X1*{9$s0W(EVm|UiT5V4E}zG)RBX2e1Lm!Tr@&w$PPIk*iKa-l4(9F{q`WXzWaIijd@7ayMShXf1_rzTWUI zip6I*?BwSM@E;0WAblb52j&})h}miO5~)BoNP1<{=T-> z-CQb~ct4VAY&S5(z=!A2o3*n&!R^l`Q>i<=wt zOtW=f8QUph0Qrb2zRn7wqwHWiV$mxOjw%9iqdJTIi*%i?G6`?OTP?Cw=wL4bJHlA$ z*AUA~4h|@}PGT1eIO@$=RPjlS)`OWMN~!xDg}Kiwb5h>A6bOD~1BY@~J%qkyX+NN3%*}FZ{3cs&DgfWq*h`^{hZ}5Odv*hb z3!aokIx~J&jmT4x!uxEGtKv1dA~v(X>lyeY{edVy>D(;8@!=i@M%mbD&&-$(l2a@I z8SN+I@x6WI3mM-#l7t(fzs-WWOjn!2!dqYGneiFXPGNkwz}0>U*Ku~ambLM@YyC)H zY8E)2WtCZQ5E}ZAYfi5X+iRyfsu1rz*PbcI(KvavU0}LV>ZQE6L!W3qR^a&x4lY@y z4GNcvG^gHWahX6l6yV}lvq1!7uym=qU{V3=z`IIU8jeeic2&HDz+K_vFl%;YYoL7l zfpSBUU)0!F6PRoJ)IU8R& z*04WMzNm*q2%QwQ2K}IeD1GGuJxE^VfcLF#}E4wx_&B{q0uRnZCW!18?jM~N2m?CnmNrJ{Jw>i z!u2rQF1B##65_Fyc{2q3D3q1Bo!qzC8@(^sYk1K~vK@aS@NKO-=W~V*;9V%TC{LcQ zw$n>u9RD*lJUfzB_ySa5hr~ec!982Wzq)EGf+q#)F0xd@&N0smM}X%c+-oJEQIxy= ziE-7k4C6>;wkHgWtpcP1hkr?Ym|c)~iyueoS8ouO(QjEy!K$4?4&7KK$n0VHi)y&} zfNi7|I}ew9ZdL$J$5&$TAbz~+#6R93^;(^e`$V6g>x-oTulRL8S^@i<1w-N~CCMZro-++?yFsY15cWv#dv*q>Q8jb%?fZ z38Y@DhI(7=g6mbf+)|1WSc#<7bTJ_zZ$f$vqe_t}9TXjDM;Wf;;NmJ}xsjG(3~(Gw zX^$fr4EyAM%~>ZT`J@Bk$mp0vDl0W3ZZB8aSUQODJ*HFxlN04;d+^9Gb#H<3&l6TF zJ&5(jcK^-4O|TV`5aYlL??}qNiOW#=F_=AtsgOM_0QfX9xb=uAsAvV=SZt-)YPJ|{ z2KQm(F0hc}%}`WEf%5cEC$JxcNHxm{CvGj2DJj}WiD=2>KS9jPZt^UKhH{lZ?MRIu8GuI?qD zFu??PW1wY`3|9A3G6+@0J0_LQDt-GAt3x&b1Zx2Wk02}V3;Usr-~LFMD8K!YtuZ%t zWHm>AFbFGTV5pc=^|wE2Cd!I3KQ*ys^-=3k?LY_&R3RlNDzLX89W zO}w5^txy*@Q9mNe8SPD(9pll%hnNJ=e5#XE7@6Hz0eJ-GOnD~7uN!E^3 zC74!(0fZL)IL1$trw?AdxcB14i$SvU6!qk}wHGg-fK-}%fq&{oxwa;q5^E!c9Dr?; z^LiX0mb$=~6ve+qZQ#vsa2eqf%}LEDO zv4IC6c*P?uTF&1N8nfpYsd+-1x90Vqzm*jF6}%OfR}>XRb@Ci5<>(vZ6|c7&*R@oh zwpBe3F0TeHd*4;M!OibVd@~2@^OSOt4Wi0Qm2nQ9bsg}6(aQ^p=ulNjF!eY8@bAI$ zqD4XTr{q_{)kX3r#%yL`Erjx!U+QH>06V6Og;uqen~juj<_q)Zn{je@c(k8camQ@E zR*Sqc+tC#B84`JL3oJUC+CE8Dj(fZ?raEeRAq2GE(tBjwiA(<$uB|5>|*J$@s9DE%gG?g0Qy}eqy6!rxspq@_%yvn zPy~F6Cj=${Ebqpn=U+?t0Zb&VSENlqt{yc3;*_Z;H`>2<#7h5B(-xj%|vBQa|G2S+PLVw&!MRwuOgJAIqK_dsE#TIGe+(m#68`jM&%y3Yx4QQmkqfB$Eo@q}*Oika`oq z9DTUT1L?5-f?;=Zz#l)p|McnoUz`8Y22Cr1kmDruo&(BI8^+bUZ*$(`)96eAR;_gltAk!*aDVEE%aX`F^qDJauJ_ zd+z>tAO3B&tI_=t{!=mZlcHUY{8hcQjp1(am4zQg!gjb*6JDCcpL{hr3MJc{91m^39?RD>G>A{2-yWtLZtOv^@K@c`E@I_B8jrI308lNhehMyK^i5F=FrK9isDz?qvr0Mj&NQez4Jkp~ zT{4XX+Whe#!L}mWN$JaLANP0(iZvVgb93q$e{?z?9lREc3St74pzkadAAKC>z?Mg- zZvmX-C;%3}@S(5G^_PP1jWy!fsN;H~VNoe4`a~O}uN=&G2f)1t4%<6yZFZ40H0o6j z_ZZ>1#BUx&;+i_2z%fnv_0L?1KH@3>mi;y>i>h}uZLES8F}_s265MdbJV81e+}c9N zW{&Z`0T3@#Tk~qYv5WK2d`8MDdlIw>ECsXC{HK`MyxbI?1~Mn?e+=mOE;M z&7}~UO9Vv|L$Lbhvh^|Y#Z|h!%(Ad_1=KPEdO_H5ukJ5~K`9fa3wJR2xJUUyP6Ki( zZ>QJ{NtRVKb}WZ?a)zX=`$u?@C>@zIFLCRJfXYZuCZSolB9p>%aSL{Z1hj>?WH2kX z7iOK5d4<)?BP4_EZ#%?Cv7nPR6(D$UOhA)A-4F6=i6HvCy~y}B&#U(G&=%^79oxdNUgp|OQH@Pv z;jt#>vVjfkmoD;aa+GeLqM%wWXz!EKdn?{INco$GWaO;)8{VcZm1$j-3rSBD*JoTwNGRu63u?+EK|HN3?C;RtKemv}{Nkcw>Ic;sMoWPEBNJ^!d93UR(LgumMX>1Xc ztG~-=LMJHUlPi4Ek+pe%PES&56_AOb|t3+=|KsvMbQjOeGt(0a7-I# zpg>dH9mI{ZT%o>n0J8Eb2=Yz9WR6|+#St~<+P$T$nl%Q(wpY6jC3HXWf?5if>&-u0 z3*RBr3{(Z^o+((5XCGuJ0ZudE-3>*rx*jptGu-^EAN39;yE+C2)(wHed?sfXJM8#JBoqpCP$8w0rIv8049#j(mM?)msn2Q}x3u6V(N_^-w z9foPK$6oee2`5_u;frak{H}&`CSagaZq>0H`vCI)bEyq+I_{5o6RtqXI|5RN}Vu$s?(OLFI+Zyd@JvqT(bcAxr#x z3raS#&0K2`KiJ>DcXTx9;DLt}v3Z#507_qegIXr5Y=O5u8WSNAM(uE~fB5wN^QUG> z{iB3k1Uu0_apV9cN<9B%ru8Gm#|${=RQ1*5r8W?4K8%D_Ro6Ylg46yWCM5akQ;=Mz7vWIqR>=m8kzBwg+3^Ybt3}3on*D^gfg^oN0 zjhBJpOk`}B@AYz-W>HOYsjK%R4EVb}?{c@%Zmvt?urAE^=0~%Lz1jtjrn?I5)`mHQ zCK_ZdEa$i!$F7dkJ{>Q z{z=3DAf3br4ph<=d+bmJl;SKFAc#0!tTgUlsGnNqwZTL4_s4n@Gs_BC6Cf-> zPzMVm2MC7USCbbhVE-AjBH~K|nmjncx%6l<+&fPr8G+ezdLZ)e2o4;dfT?hH%R76j zfBSvkn(3kC)_5pL`Ex8L-7E7#AvXX5J&$ku-27jE?~iWO`snOnh^dk9aAnQ}eESb{ zrnmLBp4p!a?=sB8gSKJ1#^FJnNFJHR48|j*mb~S2cyJEQw7{9J_>{hx}E%9;1?jFR)3BH3e6+I*6v4AmzO(i}|Nwvt38u#x2 zu{rIcs(@1y3bj1Git{Z6Kz(GhP*spz1HwGtfwqDxf17D5?!Y-QRk7dZ6YhSEWwpcU zc5q=~Uy&CbHEHU~Vos_CGt)W}Vl808;&?^l7sw=mONtw|WTaFLuH9rvk;&J)A!K@% zR*q8l0QU2N(>4f4>vDMBNTK+r;`ilQU9~Yr-h*=|zf+R)7wJ^oFdyphES62BOXS_b zHbdp@0L{QqHpViThxaWY7@i=4VedfRQ*r_1C^E@LWSHFX3J|gbh9<;AGBs{o2_V@Iqg1>< zbMPgP@M?g_r5c{bjXQudy;S_Ct#~GR1oSd_M~#RO6C1IRE;tYm1W8^)`o64YDFo0D z_C0WwhBCE{M}wDo4Ml#S2Jdzi!e|`lv|UqxCf&H#P6YzLHE;Zrfs&=#OU?)x9cN+*m~iSOBOBaZ-@kI(ttmyA zKBUZCi5fnfW6HkqkIe@o^k0QFq)sT}u;Zv^HX7UYS>s;moSm!m`u%IT{Q#zB|K50< z?3|8=gWK?`zD9Ylh%k(JJ#2m*PRZZ4J-U@Q<*AVa@ox})SKMmugcVTe#sal_R z)3iDsRmVx%MZ^l^fC>ky?Bh;OR=SrUf%8egu-Yf`?lGrIJv%eb;yLvsC$g|yub9hZ6s zRnO|NS`|Q%{*HYRv!!K<(`oT=`4T99LLi;nph+yeqzAjBnCLWBXBNc%1WH;XzwPYpwpis+5W8fwW{*lr@c=Dn+36%IUF1Egf{@rA^TQTRM!&=Q}OtP zYMeu8ar$9ThsKrxH$wNA%xeXj9p!eFXy6kq$`Jm9?0oR>A*l!IAx(vMaS9wpJq_B~ zo6L&%y<38rZVOzZ*dNo>gZ;nv^y!{)2NW~J_YXNz501duF1|&a{%sL1aw!9chAVG= zC-5UW+UQTJHO3n^$3vTgN64_Ww@7zAwzBE#(?vo(UiACF{4m5Q`iMslxao&{w? zQWf2X4p5fDQewNz-gb>;_;#vxzcM%YYYDntT$Er27hPLUFTxn^v%aj^wikC=OlXQS8N!M-%8h}k3|9loFLU5JM1D0I;v8p=t|K6)Yp><8O; zfJ-qzm5(0mtL#Q>pl$(o476_3HCS^!L-RNPa?PT5+iS$2*VPF9BmSOQuP3fiqUMFI zI3V!W{=wg?iUZBJVN3{2YA?(`z}z49Gxy(^6YP4Rm^MZvA**0lm`)TkMzT<&@!me& z zyuV%!-;XoVwg?x$R~LR&!XPD(^=$~ZTz@%UUYSO($NR}6%*%S9^CqAJH`$EDubgF; zHCo*9pjK39w6Mi~*arS-?5L|nta#T_=4z5YB3?iW%G?2#xg|N7&OvgV900kJ1nj9R zSqXB>{KNO)Y6^>W;%$@ z5g31{+kt1cb5^})OK{32-^cLZe039%Bw*j|Fvg{EXlhww@NRVz?=#pGSr{KmS8z$X zN~D6A>4n|5wkB`}PgoqTy88Gbb2n9a1XZS)ua?UW30p>1#(tCMSI8$Y}9awsa75SF2kZk#VXsxDlHRLg!>ssf&;eQWEZ!E|7VFr889dXQ zmM%mx<$?tT1ug~bLY@F6eCsM7Dhb*qh=)T#iC*xSNCj|zK)yr%;E=PtA1&gDm`tAF zu+ndpnwp)-H3Ppudw?d#A|819T~Qx(2U!fcM!ZXpV61>wN~&yl-26te9LqotL+!mESd7lY>l%F=TNWE(48`!hL`D3+50-abw6LeH=>|K>=8n@RZ zUYc-KYMsRNmzZH+0cAk-J&bshAC27oomz6(-V#`1ikT!3etv1^7fPn!UX+rp-h;n; zKZ$Zo2)s@)D$2jxP1A*Y2&!?fGwG+Br)2~kXR%8V3#Z`ide`DVc|d34`eFs& zafhO%#m&WQYxa)A^GHA6IzWWoVmhTe^yU#h{S`gk+@o50qJ}!+X@Sn3m?eQ!!Or35 z_CM>W(W!`>jY(l#oQ7sH;Lv?{u(-7o7PJ#yx;vp~BsTlni78!?7sDrces6RX^-se63c?my2}I z9NxHb9Ms2FT!YiQ{x{F5;GIu{XowEf9ET1y$6+z6r{>7sgO}mEPVcDSw@pjWN4Qw_Q8nk?ij!|yioJFWVEWJmt!-e?&0 z&yU=ZKe9L5VRhuskDQTrHjJz#oL#qPyz7epu6agvYy0R-QjLyIXl4Jy4?3bAb@?)* zcFy2!+(m=2Q!QZDtET%hvB%M_k<$QuUx!#JLIJLOkpLqRC0Q3OwM{Y%ENx5O2I6G% z`YDtZhN5kJx<4NF-b+~0F~a|!I!+32RjFsCP)&cZS;iUj$Rc4}m`yey!(7n+K=!ogr@h{^Z!9wfk;IGyjxRNMf@v-ld&O6W@8TRYZmRSB1yBD#3gPIAFi z-kC*n(SaG6DJ~q2 zEwGEs7nK+DI7{DhzkDb>`q;KpjaI_P+eP4M%ZX>GJXvlMizW-bAM)ed4G)&XQF=g^f14AH9OrKTF^6m-E~x7~pcUUE^1# z&x?=cDb$lvsfp1~;rVCye3v{!T3%I-CRBcvWZ6x$*e=UOe%aoD7v@>hfS*wrpK%!- z8-W7OU67V&SC|%wVX{t36gIB%rs54SIFBwqmm*c{lIlRi@!jgUVB_;tmk60#iEEA_~1~=~u6e^sO2p=bJZm z_OzyF8`E}iBH39be4dzp3ZDu|&ZAnK>v#V7g}S8@Ko@{lZN3$k2NUmK=Qyu11(fNn z6Tjw*jYB61pPc5C6b$P%)hX#qWSxgBe4F@$iY2#+$9>`tn#Xl=LM&0%x$=Z`p!ihD z5X$an5ov^{E?jB(3i_Mtmh)d6n}Ww_EXt#LyVv|im(vd#xZ8}!#+(f|>}b|c)YG{I)wyI{w#r_-r%!o5=Vm}WyazG0v84c}7htXE2J^w@3S5g1MCNLt@SeQNa^ zdGx*;IXW@Jc>5oI)Rc*$bl$q@Q)KZbz*Er>T(u!r6zk!%S`=rAKEL=vmomj~T6H8T z*9>R6SjR-bIZHDB;c=3|M7gSHEY<2{5S&Wo1reMpE@ryZA(WMseJG%+RXU?$us=0O zD>$yL8A%q5rtF$!G;bztsRREkE4U&*DPh{!*p^m84FpVb%jXfB zZr9458&vANV|VUS8Q1U*o$P>b($(ChUtRE1%&ggk8`t=IyziF-f%b-s;Xzm8TQmK2 zI=@aFY2kVj)#}ROgqP^0iC#idoJ+`Zk)xTGq^~6!6C_1RiwcEmjbQ_4b{rPCHbaDd)F%Z9jYN-MCp9hL z>;S~5zh;>Xn6&5=pDdHXUW1v1_m`Z)FTvWHmc7c$Z??l>at_Ct5*jup!wczPG8oZb z1XX4^SAT6KEbNxF>xU<69ppKfne}|Na(F`O4u9O+1)oE@-RGLa`m>6TqRr`K2c??R zC>(b&I_*tx(%LJvkX<+wDH%~_Q~#n|=IF31u4AR9iqtz{gcN-u`|Q);y8`pp*>Z8i zfXl@+X3$V&l3c;Q2peR%0P6~Vgj16;eYR9SBU3Ao33A!I-O-!u%X8xKBw;RhpwKVzmuM-66by{r9 zvgyN8Ft-+SSLmj8iEs25sG^?WA8<>7ls5&(_<1MF#pl(j%(=1=9CN=+zeQh4w7+EZ-I~#rtSIXiawg znc%Oy!_%^rU~T0tz3S6Y4Z4n%Q*jGX^)D+#)qGlPBdeAWU(84ze|NM9tbfTL*{>`% zihP@vX`IE{uybguD@+L?*6ILLwJZCfDXUpccNf}fyO;`9wca9}Xi5j7YJGb3U6Bgc zh9xIHakXKm-dEhzzOT*HU7#$eLM6dwwF%K!zqF|D%oYCy8e+RX4;gN>0}+q2`X0s&>NPjknwi!)7CegnAhZ?OlbFK^I$JOv}3Z;l9h*Q3RWahyamI+f}YZ4NN znPkJu*StXYwGv02ZeEj0-9+tK4)bW(Q7eV)$!w530|#WMpeq}cI-YN13k&oJJ|ei& zN{q(k=i_XSU^SJaCU5S6(3r2?d8^Xlk;*h*k_lj8?hOXZ?=9F7=o0QsI%dPP1Q^bBxMS$63Pb~J{a-41q@)m%qH%&{yEG_RBY01J@n!qa|o0zY`tgc+U zE)?JBEK#THVi)~cxvNfYR>V_g_K?KTde~dn3l&DLPzJzc`4bh^&+;l}m;fCZRu+2K zGJR_kbD};S94a!Vq(4)rz;W3@c>FS*Zwu9&7LcuNS8FGyla{2-bJaVwV?lxV8zm0g zHutui6T}l12z5HhoDjRN$MWa~t7Ol-0CZLHlSF33!=zY}k2fnMs};_=n?>{jzwZ67 zU`1Ik$gN%*V3qtAUpt;U+Tqn{W+MJ_G5Y_}cL>Zg>};U~{a|9<{Z5$|oNw2o1d0>G zi;k`A$&-9>#24jSZ4w5Yz?OMgNy6xe`*YY2iAu7Q{!dMM%5VLEH76(DEhTZM)RVh2 zCU!|fakEfN63U4rp&X7{^=|%q_N3gDn`BjuS}{I2+MxUu0dx7rJ-CWEydXz1i3wx8 zZC~%(P@pg-phwOL{*do(Kbph~v^0_xoMhiBPx-aweshrIc+lH!7I}dW`>=96*_u7J z+Vqw;`i%C};tf?04C(Vw0^s1l##O?`>nX1x{C z_rbvh{)>5T_!RZBr#8kOeb2l{@@0v$B!%8czfgaWq^PR|=maJ2!y1(G{y0e)m&!+J zTz-1nOs>H{tcz@4!Lcn!7=#zlmV}PN@DZf5+4NOx7~x!4#gx&lxZA%-hF2v^SEnO= z@%-aQC~P-Lv~RWp{pGw)$5tZk+KI`|UVWxWXET@*2^>Gr=7}#6=GU|3R`Kht=I^L- zpkJt2=5)gi>o@*6H@ObHnChKZN1SN&>FfDz) zEUB(8ZJ3@$E~T74hZ4&~H|=DsxI}VFrNKT%lL?ynur~}C)0{%v^K=>c7Zx(cLTy?bj-jj%-{<(&n zsm7G)eM+{>!)C^3zN=@cU2g*J>Aqv<40thlsBE3OXSEq+8$yFS7=m{-|Mbs)2aVjf zm~7H5IQy<9VEqx*Z1`i9gv^TRe~e+)mPf^`S{Q0B9KVO63?Y$>UUN_M&JI zgE$YwtI|56ttwSd<5#(6K6>atB_tfLJh(yniNL|$cG+AgW5Tq*8NW0|nvE&NZxFeZ zU*g|jFBve?8h;Vkf$fb6eZ6)0!F{kfFy)!RUj;)<(G*fH84vohE>iRh0QrSQ?;!4subyvS^KH)@9RfJ7F5uiq385c3W;6RguNjb1$ zWop}$izsbJ|0-+cotoRkP`WL~uzLN{VN-y)#--`Vpj73$lrOexxQ5mN%E8Ytet--N z6Qp8Ox>77dCC(UgRGa4eN}x(`+-54%mcIa#;3mQ-XGz({*N6{_S0$e=df7n?CO5Ri z2Fk$X`gcF5r-QfRPby&xxeqMwtzn11yK4FU24;gKG<1_;VjRtV6P%Hs#zjpKL>t98RXq zyU@15aJ+4QyKgLE}8?K${_&H{NcNjD+Pw76O5It798L~^q>AH^zPX6a4Lci@>4PNV1n z$NdvdEEKf9##W+(gYIch4J8~QB7hih45iyJJoUGezRvgRly$0*rAucw+JX5o zHU^<~baTUj()Hpzz~(&UHCX&VO$^HJSy5JuC0Y}t0+YXHbC*X3?fY$UY2msS3FYqD z9g(M0^W}l>vi*7*5RXwP%@NjeOW%N7&EZIDwwL@!xj$f5SsUOlaPKH_-h8ccBk_;l zj~3Ba_(M;fUKWOR4K*+%(o~tTNtP6I?RVk7=&X&^A|p$9veaewCUY=->C}Z~;23da z_~}m%u1FZ_@A|G|DtA0xcL@|!)RZh8yr8O*bzMqsKP>Mi{PKPe%HQQ6w6bn}FQJf* zwq7?1E>9zE`%#E^;pL7T3;bl8%hsn}=v0ff!FAI`>TtrkBO8N1Db!ghc)qEtqn4;a zm0r4R4c4Jf7l{BT54u5T5`7xtxQ{0UNRXrz(%lmP;bt|-mr=j>JIcrpaXsiccD<0@ zTfHTN1ZyFDc>H)zl*`oi@zX7AKuiv#?Q}dp5(-PzDr%dKLzdytuAGG3CJiTBL&>bb zB($DZAsY;=s8K-Bj;JX?mg(Ps_N<8sDeGr6>If$ef3AJgYVFSy^E7Wwf zz_al@FX{x)peS{R4d+s)3FVDuB%#7$<(7EpW&9d8ahR0Rt9+IsbPl=IdFoA*w{Zrq z^=c7k3JI^zB|+Syx)@>Hv9M1d@H6&Nv%4Ft8>Z(d9S>fY;fJ7fw*3$-PM&D2HMA+L z`T?+_M+CwTWH~8NinBmR^^%k*L3-DD){~qSQL600tN!<@7%*$uBa(X;2WF>v=vA-j z&2t$7;0ZI(&@Gbd0fz&8$;%s0+>B-*E)L4&dqC?NL9EDkQU@GkQ8VR~iI;1b1#ICW z=5s~+tQBZIK}cn!Gk!F&{?gz`E9^JSrH|Q2u!R$kENyeJ?4WFwh43ePweJ)*&?^Ot z6*Mf#tgsXr(T18vTuVx4*8)Swe$juh#BLRANKvb#t(EZ5yTAf+ToJmk9#ODL;nemD zL(FjXH;9##=8!M^vYQL^aSWeW8%KRLHH33HaGt%zqexR>{+2=y&@!^85R^!%V3Kt) zk0jx8(-dw(Z40`wS7SUmxiGaR)V@KHxMV!UWU3SRYUm)Hbe?(>((Nie-M1edn5w5F zJD3(row`?tNYW?o>zq?60>Z&wc(zVJI3(tc`GY3^ykY$mOICyAO9CO^KC0yviA`uB znA6EtEzJerC1@v>nmqKgyLdC(TG5_aDtVyJ%QeSD(oVD6uSXjvj;3s-+w6IF*pM`e zTkG7W9jQwi6(3f|+|ld!Dq%s8{t>xYb@E*(M-mfvaMb+5O==czYtFb3_ekw%cuA8d zI1cCJ=Dhv8KWtzSrq^K82wMl3MsND3T2{3ilUXl^Wg9CvLihRkVNc-$thwrB^YP-a zTE(`0JI>x%l-ny4_F3ms`A$l#y=w)D&XmjjQn<`IYO+>Xgbz__esp4oZI~lXR9O#? z_eUpO){d_F76zQ#HBAQkIeZv2&Qli7g*|r(+Xi*;VmrNp8lP`7SgxMyV?){cZQMY_S0%eTiamMSiK%!T5P1X(G+w;jm7$)!gvI+YdkFTwB|NlGRBdI_GG6Euw>p z$2I1;OK7=rHKT*iIWxbL_oLbIQBD6avE@L?_H=4=dFXPja*XE#O>K5&h{4}p#kc0i zsBqjoV9p9+E*g$-<@u9LW6HcVj~q4`Px2b;NKB<3W-(pkcZKipCMgfHd>~s}N!44CO^x%W-_aOA?~q=Sq|BO? zlb%s7;pT$ld5rj;oeKRC?6zf<*!wOmm7PbCG(tn-)r@I_mF*N7N_Y%&RZ-r9M0^ZF z3D+ekdPZ;68D!0q&ptYh;&+2q1SjPX6saCtt6t%a)S(6)d8}l?lsR+iDJH!5BjX8^AWg6EFS}N5q#=!+wb-u(22^u?BgO^i1y!}r*(Sg#jXCKcq9`=&ip2pS08?rp{g`;s5 zhmSy=5lDfu8`+;&_D#?*_&X*#$hn5SHV@Ej#^PV*1@tYC9wM6krx*;kl&>DDyL>h% zsUR;m_`9w{mS^~P2}{+xAL~1w=O@Th(;wLcP*ox&y&Q+3QY~(2$1xBXvj!q1{IZI= zSLu?JT9l;dkrUpi*c(@5kkUgBQ~2NfpoSesS=CI-R~K}Qj@%QPmef5zKQ{ErVJcK7 zvTQVE!eVmDLt&%oXyOF1OB6s10J_?cOBN$?u*eEr>)oJGolCm?QyieShOt7+B8!uF zMtq%1>_c~ZPej|ruCv(tvqf`jb8+vbyy;&aQ zt>l9pebp{$c{SE5&+`);fiRFgsd@(*59%k@Qbx^m>3olkN!N=&pnkR3u(#xgxAO{P zKtRZvj3@EMv|==xJ~U6KxrGP7U0Qw3Hj~X6VAm<+r5!|xI6@unu@PJtDemq%8ZVc< z%Nk&N04i&b!HC|CA+&ZqY$5<{oYCC?t@xs-810`E_f}2A_5Dq}Sk_%Xy!}fb-YFr? zZod@uZKxwheFrCIC+0c1@Uyg(QT7ty--DcxLn{#M_IsB#{`R}wJr%4I4sIv#+G7|A zcD|9{4UA2t4Q#PXpAXLvWO3o*^j`*)fm8d;9uftf(JE;e=T97I;1k3+grtEhdiJah z+>Qw}`Noe7Cnx(awHK&kS)MMi%&6DoPTCe#`Co6*Wm&Nm)^8}6EiZbYcAQr^tXtEY=~9&}v&)^>$9zzbY2s?&kDH<}cL__FJ%mz#&XC=ublKPd>AskEKcQU3n;=-%-7 z-YN12-2Q_fHYpb@w#8C{u{T|0;djdKRfRKBED(X2B+ERTmld|UkdDf93EO|~4p8!^ zVZhDIRro;$2n%TAx)PmQ}ifS!T1}v@!gH=#T3>6b@bzcYj$R|(- z%QIMzIu1AKE^af_RE5QWFm#s~Ya|THKhWqC<)s=$oPAid=Nq*EOO%AE;E|3YHkAbD zR)frV`{1Z`m0yM6VqMNQ@=}^JcJXWGqr<(Zm)o%k()8skE+FNpmGou@sA}{3Y*CiAXF!I?0kK*qig;^DSH+c=`+F5~cyVxCm0F z6SFmb$9C2{_Jjc|!{KALc9?9S?_*%P**cDwV~* zK;91Zj5Cp{lvqw6IJb6lffT^|P4l7(`J&2Yx@ggYQ&`3b%Vaha=ks(SbkOvtPY)hH zKKS};wdC2g^j;&Oon&b_Asxa+SY*NDgYozP#_cuQ2$^s>(iirRdW82E^=O%9ZV>^8 zgu>G5lI!eg$@vBYrCjE?#&0OW&_Is5kMMcV0#MA<4m^x#s9tUZQjzt8IIdU68yJme8 zmhro`Km>-zXOWX;w0UjipP9E%RYeHC*521FhVXUOA-PY)R|*g-=Yr>!2bTHJDU%36 zD%u^}DB_{AldRMuPXjlQoYbCsbVA<=ny6(Up=3i5TP2S9n=+N_5#Qc^%?P^)40$pE_HIbSBUbPop(St|;I;sw9$Qd32RV z#3~d_a0AY@N)AxOhi57kD?BqrEb_R~C}NiI31gb9Jxn|XV*B6t_@?^4rmIyl!x^=_ ziMDHU(-0*0Ui2m9LEK0AlTu}Lp_lOw$;Kx`bX2Q(W1Y=CeGNz3cQ0xo^UwgdZ??nH ziQ@B!=frvVK;v&k`O7nyCpms1q@f{57c`HT$-EM#^AHZd%Z(nP#cxX9iyo>gWA{p{ z76?C7FU<4p4i_c>L9dNR(s@&GMP>H43`*rdLW9J^61+BU9hfl&Qv*$tVfp^rcKf$l zRMDkbhRsmIy~5Xn$vpvYo(l)@0Ux&hHk#LsI_SrAg0mv$$0j~KbRy?%$f3YFvbs;S zNTBcGy<2jSX>a-*X)G`aQ;VIyH$C)8TqwW}c@=^LY2>SXL zU$$O_-Ocvuthz1}>aMEmon5z4pB})&!b|P0DYYHyn1JT!?*~g@A+?1$49pF_kx8ls zvH9o+SEEDBp3A2joy}#cbP{>}*pk(>O5)*9<8@4$8!(cW3C&4s8d&ZOWOw&r`e zN>|a<%@$_Lezb`b784Y<>^U5c`B42lM9!qg{HwfJ&Z19ov|k9>SO1HzK7BE037Ovh zGar1*_*j)$S3$H|zRf!jQA#6p1Kg4tpshtp=wWT%g>gBifO?G$3yT^Q)^L!r$z@Kw z_NZ(nYXZ{aX^1LAV;sy~Ln7E}n~}esQZHm6N&A6@mY9esMhk2Gv*bE@hzXh3DMD}C z0<+|D(Xo*kEJ~<1C2Z*qvA13f?Y7ty@VvdgM&-_V!r0kL+Li<^6|M4>WqMWklIadW^px4~I-0d)o;OUE$*K9RDZLWilzY_$`g4Wby&PXO&l1O7ewI z$!d<3+8W*I`u9Jz#BJ5GO*fjnQFoMn$v6Kh`lXb|w&Sm0Dg7lOa^%l`zLtCjT#s;X zw^)mpwrNI2o=#ba&PZ~0ID`^515Z4$rH2|3BnCsZ9jMUacxmuhWx}CgAra`mW0>2Q; zM_fkwIa6<-^zkqv77eug8hU_*h5(*Dc>ed)^F7s368wxosJJY%GMOV_*T+GAD8@inqPc#oj3+eOsEhPN8!Me1$ zhVWNdVre~Br%pSt^YY@0=j;%+&HN&b&7>Hg9UP7|>z|6|ag;fVm&6z*GBg=UmbuAO z<1<{;Vc}fEWNxQ8UCa02M}VlKi~z%rA~$d^@g_9If{5kxI-SA1K8RK;UjJuCSwA2r=GLkO*vCr=s&tAops*g9rvoz3^5$as) z?f?5h1N=^dmMYk*{Mye4t0yQbkd32M=7VP6!=0Zm86L6#{=t{wm9RGy!VX6Aq~JGZ zln*O1GlCFwvH-nq?1cdK%AxWifQ+*oC}E6~l+)-r*;8(ly~uvnC0YMHqTbR+m_h}a zrxYdCt^y9^u5r6Y1-@xwg)3n`O(++gH2&U@hnEFbzhTQ-vvK*`Dh5{Im=TQ>H&+mN z739yVqH#0!;^o1bY#<#+_z65$BE@_fKu0+Ep(+Y%MKCNRj$dJlF$|T~Dy`2Gz-yYh z*RUON&pm8i!1)HlTqMZXISb7ier@-8_9#u)sm18A+k>@)-3WS(1=nU zHNxs^La&UVtRmme7txuKRtic`Y2X-su-nPDm{=Brcxd1_1S7h|+PN^LCa3*1LH7ke zjjEomv%`qd=`Wv<8w@sXnuV2L(I~jU|3evPwUUk63pas3ZI(Pzx6~Q}{GK0zEkpuX?mE)p`oJq5Y zTmqcOE=~oDQ0n{?r@ZSoNaqU=CZ&9-3L!vRx8=rz);U??eqhGD40#AuWweXes<}ue zluXf9x4N%uwfcUkSp98PjUQg=_gZ^8?8@cNu63*1rE2-pB{+<#dE$gl<>^CSMty^l z4%UnN3g12MeXwhv9_cu3kVNh}>={wtg96|n5!{G`8*l&C2Ms9g%s$_H$&6;78=W5? zMPDq^Ji4H@=OHqJAq7gO9O8~r-{`8QtIY_Ypul&Hw6|4ROQCh-6lMp_EL{#QsE#s{ zXrLjPX6ra)mz;SST3N93hV@jjXxKVbjcTkXwVdVOB2jsL(eJ`f{%sO-g-D)#DRzqw z7BynUao3JxcqwMBU-wcBZnM*cxSkb?ixse=LOSjTyPF4OAPZCy<`MKL4TSp zJpb`*mL|~)*esF^S%RuxX%(ex)+H;&k1IiJ19n;Ev5b%QDLo6OS4!9b*UTIZkA~6j z!hi0=e;+&@GzsLnz;cAK|86uqzCRQT9F~D8?h!ssocbN%q^v?!?Xr_Cna$&Qvhn~w zl>{+Px0@x)YOYfpy~tN_#!e_06Mc|b$Ft~7nx-`r!>YwemaJ|}yWxC|Z<5Y|-$^^y zm+|r~Y!JGkK4o>y8L@UE1TeN$Uh>jrw?zkycCu-E(ZG@5)8)b}WS>c0V?MzG3Ath4 z+$UWG_7pAerk87>4eRKl-aA);_bGS+H##-s-ss4j??>mBkj>~QYD@V4me~#3NA0~+ z9dsMDqkG5JpdDF*cKqJQtX3_kH7jo?NuYo-?yibJF7iOFA$k<}k}~!jhH5>qhtVsN zZ8<+AyXyAO{s6x>xHrpXbF1gNrBzPjGmttl&SH<7H&!N@+&r}eT~3df?=(TlO@`qN zj4S=7s(j%R+|fNy@kPGfEUpvIv5{6d5M!s%(n`*!bW4ShG#F1G&BG#iZoSp=X>Ub^ z0?UobjDPw{luwYl*;p^CFeP)qi9(D~z-kN5LG^^(G4W*(_0iWgux%s{nG@^v7$30E zGiF0U^*2}6oS1d+ahrPB=_etL%HM#2K;rJ>$ZpD$ptk#sYv~I3i1Wb-#p$Dwc4=iZ z!ig*CQ+o&D%6#b4=6YR;mtT`nSvq;f^6o-o^fq1dOc!5zKjDMG?|=T>`JE(;@L!ZA z63BxQY+A!!ti_>18V@RzsxxHalRJoxv;yppC@<3ux)V1J|+W`nVjcrY#g;l>4#A zTn{~lkw*(pMQ(a>_AcWqgl%^q0l)nLZTBNUg(;Fuvx2FLNrTh9Q9+TV%V+nFPr$}KyMKIA*Ig=F2%hRWnP&(Y zkqDwFdYX`15wn8?Dd5|~U+}50UBm}uKd_0KV@wZ&>F}I3qpGyg22$%LUzdB{#4~p* zpq}0+oypjXekU@=`r>ARU-9oC$-xS`yU2?*%D+Hqt4nkW;$o;!Sp`g{cv+ndazW1p z^4qZ0Oj}`GS`)^+Bzi}O!}fQCF{9Xu9NO@3H;R}puNf%5j8HP0s(}YYUIuxVg(Ix2xcIzx5JZsy-eyu2MyG+NC%o* zvrU<}m{fGc*6kmXqfC5%t?@eLx@^*Mc#pD_aa!14sm_yj`9@S>-LwpPkCpWMh`pz$ z8h_kbA+h4(QTu6=wukXfvSMJCCCliDazK|i0?yVcW9G+@_`3EWXVD{7P~8UsMZjzR z`zqwJ)i;COCF>;HFJZB#aMrR}qTSWP3*;%vh>LFo2W`5HSNyTS%6V0KeDJ{_J2pf6 zf(pzwvtn!lAElcxVpGDNNoWf4-pf@Z51*mCTT)*M8N&ah&2ot#m)zB_;UVzewZnhH zx$qVkXuT-x(ck>v9DfHk+_3IB(CxI4-$FyU#MY+z6Ao{=zNqsB68n zNf)hRN+W}6DrW@?gcPd=z{Zihf%QTKgP{#Yjsi(jrOIIO)EfZX^eUmyD4d(u6cey1 zQE-8br?3IuR3f=_y{`nn$es9H<8paa(@%^WVxhOc)T0lP)lu`{7{13L@??CSz~VQouV z^QV+Sm(I!a{qsOD&~sxUf$}WP^&v~cQpRV8u#FCEptFXhF;ea;{=k05raT4q)Jcd* zstd9!rqJ-kTSn$#O(Y?s(thfqjJ|^s9Z@ju z<4a6z#hn31iq2Ti(P2qRl~55Z|6id7z$JP!4I>^^CkHM%q?4wJ^&O9f@PFhhJvv1y zCDIdv`{eaS6EF;>T{?(o8yQXZPlc7XOC;Og=i2QwBv zi+zqd`}5T9Uy;nk(I*oP_SZDK%z2Mj_)hr3KS^d3Cc=#t6YAucj(^Jho8@3nqnpPA z`SxQxh{9WivT=koO$mN!f1F&zMP}fpAtX#IYQp-EaTE;6&Q6-gR>Hez8Z!U_-~E5nQ_?&wuHcNcopZnmb6(#lngm}vYg%EG`=pOsuR^HD{^ z`Egjc*}1REEJwPjf~1F~bDLdd`E|xDa!T@f8Lul9Y#dQ&xI@s)E;M?#`l^!9kLzTh zJ=1@C$qrkzG^5@tIBYp?E{_`tChry&(IVQ5UKJ)It5!YQ0I1wXR42Ma?O^$6mXo~5 zCAbIc_f=vH1voFbDp!a~q%WARDU&$mEMA1p!@(a$6nDP`2IF!5@x48rOw_6;&EG~| z7-`IIY70n*6hu@hDywyxOoJ+yB!6X{tb>$TlD|h@>;jvoik-uHwhsE^u|-XoD8p0k z6GeMx+dVsxOET?c{Zvs-w)ttnSEPfs zs2TvcBg|zbT+zxpc@P!$DaJe|Mv875+adT#?YHC;irLOL)P>V^B25xw0v{L`MS&@> z%T1n^iQdrOEuFBLJqr3+AX*y(puaVVgW|CuXa}~)N)9}vAG#z5UT%{mmUwl?e83I| z&C&5*1pn_GCrm_ZuzjL=;YS~Q0s}rB(^PKFG?*m9K5O3GI>PO|v_f(!ppW)Y&)vz>ASW_<$Ydclq-^n4{{(8vZGY`ztJ2Kb%qiyJsVuA*%zYD?l%)6g`G{Tck* zbh-o^1J3yjR7Src``>Y+f#%~MuhV2hO;k%VT_wSa$U@(#c3tpQH>roEbEvJMbeiN1 zhR<;Sx`{F+FC97v^r7wnFK-qOi?}UXkXSf4^DQzi;6L(AE4AysY_2QNpr`q_*_RB_ z8F%Uo(#z9}f|s@*ffyXQZBptkEsCV_f?moE@3&XGcj5-NwQ_-pFe&TH6DWPQ zp}#IMVuMb^O{zR=aBR#>*U*LG_v|Zu$M@a0Rf?Ut9KKGkwzGJ?Eli&f4Y`S_$H|7e zJc3TDm$%p!ri-x8R$iXE;rs64)dJR=61(x6E$qZ(M8SEUI=1HYg4J60>kW=TbUu8U*KwAjH z5M$an{J>`XKM~MkaxxR+st$_o4ou`(o$NT+udxo<1Ts*Hctz~elMJ3>p6QhTa}{sP zt5~sAEE2>aR1$3Y=g2mM6^^+EIwRq_x~QLU<+O;-V+h-j@NBK4kxuFrJr(>X!`Oq; z?3(8yn&gG9XOb4m`QUJgc9+W~R$?%n>k@|7MShu3BnpPadb8w&t1w+jY0De>p$zup z_90IpE5F(>3vnj3;a5fAot{6BROYtN$#uD`O`v%MUj_zSqE8fZ;zrlv#?R7?&`a261T+`rEX6e|I76SWb`7>L%4Wi` zo*e=_ZeBLWZF0A)vsUQDcbs!(r$G($v3zuN4~`T4^YcN^`pB5qN_-0z#NA|CSseD( zb*bzQ*=Fs4$nQ4S?7JSVursj_pU^Bt%~oVfiI;=Bi}E^|XkDFi%`|uK>a{+PUTt9k zADtgD!|7lBfH@zC;vBx>M2Errg#Ey7UrU7DuAZiWcHXxB+}qOiPQLqA{je%`R>PsK zTwrFe=KXt6-IpKM?8y}(Nq6IY79I=QXXDGubm_%8s~Y8YtVa*s?VogHbQN8$#T=$M z`r_=yCL+=P{sNj3P2+V6pI-VlwqvCgk=i_*23V|fhQ>4nW>Is8PCAL<@=^jsxN8v4 zwEoVlLTM_PX9*USle@gmj#A-V7zJF8ZcGpZdObm<19aDv#N`p}g%&*7prztqcNlV3 z=9immgq*4>dg4c?(PRq!ezYxT3WYr|Z3qo`s1css>MJORzlNV*JXTf0dq$Djc9}e- z{u%TVG38tU<2+BCCFfbKYPU+oA~(L4Wosd(=Vu!91XQVEj;MsTbR^k=o!nQ!6S#bk6vh6cw#yeF%`3e|p1GcH-=%NcL!a{IuXTL@1j2iVp?W{l1V zIFx}sihCDqEee5#K;9cxOIeCrgnrW2fb}KmX3$QF5ilHa_gk`QY|ZDJtnw*tC{yKj zBdb}INU(MiUer`krXn)X>k&S~Z$&0ym#VhF?lQH;IDo67TMkVJx!p|5~QstHQ zc;oa-g=9hYQ)_Vch(3RxB^-WbMyTAPJSjmR*&4%J|-K)+V8D>0B~+hrdyRVtt>>jJNV`9d7!Xs z5rFJ9BzDgo{NOb%ePD`Z1T~PBjP`{AIg`pIbd}-(<5iw!tXnwUVdZn5#Y-0-KYF(p zw84-Ve{9b3jrc&6V>e4TR}K|IPl*pdui9?0xxHjeQT3$dSfU`5SBWM10OD$YKe4z+ex-2PkSw?*(yHOyue?hv0N z(&t^6&zncZaEo+@9rs-sTXi~csL!q3YziaL;t5L!{rftQL?H1AufaF4nEhIDn5Y)= z4?VXXRa|WYiCjR1%)y%fh4;7=d9UkEYftRcDt~))8eP|#?kvsj%Hqh%@Ul|w1sRX* zx7*B`?6#%XzGiG3uV#Qn+0vD<>4`1AVUM9$-6Asp-6~KSWgFHp7Pk`=|C1jz3r~|e z^q%dqw3XgP=kS_(44>Sde1jM(F5+wZ+jlu*M0A=-o(q)C}F#4Yo70h4!G!Q*k~xaf(V90tC53E>&{XQl)XcWI~Ffy zK%1HZ?o)P}6Q8ZY1$B_EF3^FK#aBe^nqMV53s`eoH+g==K5=6wUrwXrvtFApwIjIe zb-Yff8UgJI0@IV3*{S(i!VEO4C*8N@lI-l=Pn$?~C0*GuOsAA(NnS)w%uo?2Jq8(k z^r#Dq#Ar}yhF%<0blbx%ol(2^U6R*@8Kp7zb30#DSw7@~y}Elmms;%HAS;SQIQ~A% zwb5Q}yH~Pb*LqIj)u6&rqr*3$w#IvWmMBf(O$!_FZlPv33VL}@JPhWRPP^25>spG?Vw3Z=Mg16^Zd zlkPFfU{VvVy>YQjDRhisQRH9sYPl2%)6v=C*vk39D3OX;>%#0Yq-+wjz0}zc3y5CO zoQ)n#Mc&$W^5S>$zi_%JOb-0T5+K&*hM6d&yoWYIF^@AHpY{$XR#8^Iw&4x&t>}1K z@r)l6fJS zWL{Xfw0H2C5)niZNm})3d(j(QzFp!c@dlmRrLbg7qtWrO%D@oByiqq`O_^Q^^PEq{ zutC~U-c{-d7aYzSmzyN&=Y?932Tq+KPhOam0qnN?YI&1Uz!uh`xmMt?Ek7!h%s(fl z!6=#vogU?5XoT<*MWt0fBW9mcWF6T+3Z@=|3I8vC=;u0VxS|f4I%F`~k3C2JtS89Z z^eF;T@TZOb=_QOjQYiJN_|qdom&(b&2#YE>%_|4n;~gYq#(q*GUEjBi+zxo1%Ou$- z^7%zlkqgJmJ-%cly5awWKAiBgC-P(+J*ZcKBm-1hbgf&o7S*Taq?QENy2GK8c`%J< z3F@2CFFFA&{JsjbTQ3XjN|DUUMOq-^RZ=ciafVwKUBO(9yfFIQ$Zf1Cg3RoP7V=Rg zuosi7@0;y-bUt#=4(tOIkdp--svh-j{|%ayEBw9?7jqD;E!U+d))zHS)#9&^q*f!ANpNbNldVfy>@eXRfSYrJjq{EFBoi6j|D3d3kwFjdzuk= z!mnu8x)r%M{!px!q1+1P#{F~Mb z$hhrQLxa=%{SFL$F#XF-bzGdf{%DMf)!5q~N|xv{tX>YkQ(~*q9JGxD>rA>PpO0~r zJTH=c`67H;kb6-Nxq*$-8PP9zlSnnLU~xYTW~;*gdrA($!!BivPMZrEof=+qVi6R= zVpG&Wmo+|WE^B<`t@q3=RNI0Fd^z~g=&1RrQMj)0sQIz+DE!!2%VTGiO!gbrO%IO- zTns!g8aF*L8iyV^Z+zrD@W}Y2>5=h?Z<3>riZ*3UE#o|AFXeylM*&jZsuNf{*i2f) zB&k9R^=@{`sfe*hT_c9U1g~wi0}Jq-C=ZeK8(ir$_<0a znb*L>V)i`_-|*->Iz-exe}~81xHHwbBdGWL9KEyX7#o+t-e(UUx9|4<{$NK^tPpis z9U~SpAyjA)d|0*CL~g@7BCgVCeG_JZ*dEjwo||@;6gDMC-Y?bB)JVNwhL@BEQE#`^ zm*`AdSfydgZf!};BVe;@)beUnc;;#|ByRsT&9fVgLN){Y^L1JZ=fs4x%^O9S43*b| z`Mf}&r;0kEZ=pnq4w(JRWNu{d)5?kU7hsfp4QJI~z@dPhN1VJek$jrbUi5X%rSZTg z#e?!E7|~A(O`v0CmdB$0OUXKlbtWPqA~NsM*KR}wqH$>CB$wu0hYt4z7#PAV+j&I% zVvyxX91{!snWz4zV#DOa`N_Frc27YFp}iSXYGIzf!wyVOz< zU;X|73bjJ4$XGWcFT4j)*iB=#xtJZ}h5B|YWavyJFF#9%vd+jLvw#FU2n5)%z`E_C zJw_PqoVlxw&^ZflZmGTTlSe{ss82TMi7=B~06nf<=s{$C$@abyV% zcM2m*;FTbDjN{k@2DdJP>|uw!&+3~WI`QLgey9fWn;#<9@9>)+?to2E4Yl{PKug^~ zu%5UbBEqV1D)74(U1j<7D&KC@#@-r@XpZuVmS~A78f8t)H=hy+Z5Db5yM%jr{?vqe zmF6w1H!))by@0P3C3jw^7wk2!b98@vtls8MGOIia5(|$w|*n zO|GUw8y#D=64M(+Mf#Rz;uFdYlnXUwp$y>U zhBVxM_E5enfq^|&%}@j-{+sMKQvEnQ(btg^YdctF`Cn%!Tm7v2g)$0v?ermG~p z$~c|~wc;>ujgo>F4MO9GIO`ps-8(v^*dKj`Mjuy7ZHBRMtVcmvZvP`KnS|v3tC+=Y z22~u%G>5M#K%8tIayIxn3=#4$ukozP43Y&(M4=T`;9HHS@k}{;_yACbl;-6UH;Gqp z*P#=$oCI3BrO3IX)l3m0-IQY#R2?2+ZpFE(lmc0yDmlU>6?zjKEr8H7WEpr|&txTp zZWjDmrR3;Gc=uNnc=44vIb*3p%H#XQ^eRT95 z4wCA??j0jWBRW^^M@al3!p5h#szsyobF_>{DB^>EsBTi)?Wu6*@fVZurQJiOHxkbb>b%%E|Qpngs>#RI{eKy+hb@R{O4qRG=cvd zCDRf9csW&6$QB-oPvT`ADoZZ=`HoGLE2IHuEKC%Hn+Bn83Z<>FYvpFUq9fIcXzC_e(5A4Z&lA_lMCH3Z(BcY~o#`LFX--YG#-3MX8@viLWO^|bk_=p|n)Sh6DL91A*yMUZKS=ks( za2*Ot4#IL|;!XCrv}K^f7YMIeLzmTg)2l~xP?PkvR0gZw0iCrqGP#fL&8s9?leedS zy!;cHrAcbeDm*`8g;Z%O?@lD=JTlF*Ehuj4<}v%P*GH&p&0BwW7!xM_6#nP5s{NrC zC8hZ>6-m`(=4Iz}W4pfn$Jr-iAKA6{HY5!7O!?p1hRAjWR!P6n%SLX!s@FIX<$|^f zWVlVjq?VR7?mNXs#c>sSIgHh^8`4&hjmdlm?!KV&@3MmB3zn-U#}y12)`DKU2?`tr zzNZS0SiN7bj&5(4P6;B{b&HwYzqcf*APNk($#3T_QAV*4R=3LfA*yVw+hqE^CUh z(2#X(Aw6#%V*?G!%U3te)er~yu9e_JOnE*@iR=s!TsXku6x|ky9OGCkFJc+33dB<`1~?0lkUu9Fpp35Z4`LfE~j8_h-+1wlgf37oxx|k34$i~9f~=t7IS`w zVtiB*9J+_Q7K6`Jiy7Uam{GNu@g0g8SBp8kLotWdVvg=m%u%(N<2w{{TrKA04#k{Q zi#feRF{jmH&hAjmS+$t+I}}r$#iKjS;!$-LkM1ywN7Y$8y2C84U<}DXw3Xs&O0%pY z_OaQE+&}iwdrUos%6kvDaC&`~Z_+91K zn-|qqyQ>tRmP#xXbAT*i$WR4JU_g@{E1ei8oGV55B;gR2oD@9(OQiQs8rhE3>-&5| zf2bLZuB=g4kWu` zwt3Ancmkgk)59uWiJPQ6$nt?5-m-BEYRFMUjN<8^rSrx9;{=h9^mV+{uSdB3rdK$) z2jZgD%kFk!*zVL#YFPMI^G@}bq{l*{OqZM3M4Bigc7K!a!wO+OB3OR=aNEFT&&l#^ z-@0A3fD}98C93|UiZZB&biwKd+)MsBhE-y+U#s_zQvyX6Azn_lt8Ts+4gx-QmNqU6 z7dCaz9z_VA9z1@0@b%Z83ve_(7>y224;42b%*I^UXGMx$ehaNw3RYqkEN6`qMOFn~ zHYoX{{o(1!xhADG2U6h|3#hi+`_&hf!$cyM|&&|18a*#{l}dq@;F#L7do+XEE> zwzerOp;tyqEVf^^dZ$%*_3^fFec;psyBMt#tbPnp|xOu54C1Cw}Ii;i&$MdoO}nP!Aecgvv2zvsi1%4H z;5mmiDU$$=!$QKmlBIx49C7Mpvc;n{{twEFA5Em3AXmJ%JlM7}7Ew0An!{ajwtlXY|$i5T9Ur=!wW)=&C zLv#SGehFXMGI|!zwgEp2>avFgL=91@Ef4R3Jnf=1!7h8RTS<16B)qApZ%1E+GeBqE zfn6R*eStkW;)@!3q{>DgHcC-!@t^zKwe>C3VTd+@+2Utlfk098_QBzVj6|)OQD4_N z@absl#?4gIVdPAgTF378^ADS(mje+kj``upDdns{6cqX!pK0)Pnbs)8(j~({ zrh>JI8Jy?6K{e`EAMcY|1p2?vEUENI&k;OU5lOrrYLbZ?YIx2jBKGQF_Olw+v%2t_O1fn;$T^u>OpyCtT+PHxkrHw|R0DeZUoaL9 zj=F^JYG94G;$d>L;@?mwczb4vvw%+zCWj1qhazk?6NOHKwm1P}IO7vT%_3f6phJEb zG}Pq>O+7UXuhDoaWBHld0&5PG&S}pt)ne;tD4D-UtX>mfu}gu`diBK<+PJJM`SwSg z7BgMs`Lg~+X0U?S2(+{9j_vpG`wOs|rg=#dswXf>FFFU9aPnAhW=?JRYYAV0}V zvobu(3)q0K_M$HzC?EhvHVw;<%2rIE#tGtT*z~ycYweo6XszAuq5Lw+uQR4kjc7ST zlP9)v|LrbnEb6LAyZZq%Y74RhxWmC08Tp0LVjmt#Y601D^up%N5BCOD& z05BC^#INFVvxu{Hd9aX54Ze3egd-rU3=(P)_lof&Dz$>@_H|&gJTxBd0hFNV#o+ zRoPlIErexSY6c8!v%=_BOp;|zQOL%L^B;c@G(8w@=aR%Vb3ED>z~jfT8^QlPh5w7b zhX1oRej+D4j*M|K9E~-#lCe#_#a?nXL}IL(Ot`J{*mpW#Lvsx2@s2Zn%Jq7>moF>KF1E;W{1nZJX~ zFcBkPtD`G?hQ_tu&=%LLocY2Y81NLMarQdSRO*BQDSGN2afDm&TIE0xl~6%n5^gn< zBug&SO?`XJaWrKDJ$SX{hBG~sTr$4w6&M&);(>RQUe=tu*ehe-r?}MImiP(H*LjtF z&2jt0EWB%=xQ9b%(ir*Gh*!gR2cSn6>$ptc2z%`x{DE0c{@@SPbW4oK4c`5}y!qSz zlQzbmXE?!T_ah35UKk&3kzYGsyko7~8N#+_(TY2CP2jadRgZ%yvIZD!2y-nWX^SwI z4gr+>(gz!ewxx&qVRMn6xDTr_mh#zW_hBu5{aLM34m4Qc=5iw1K7xs^I7Nip-Xq9pi^NH~REVeAzg}>Oz0(~@6P%??%ohboU z`^}UX6kdL5d(Q;zfhg^xb2!Fxa}K!V0n^FQPh^!+butgtDQ|SP4^N`ooz%H#4eRhf_&WC^YLw|QD zrzy|$sbvygB3A-z81WmzvnCiv&jmQ2lmn%m#R z&sWUVn9kYLSkb%V`_-qB*=KQRSCnApCfO}?ZL2Dp%pmi!J&ksWrDn4uxfKACWanR z{amIr$HB`AiMRb6QkkM*Vcv>vj`(=B>bVr>QGfqV4<`yPF;_8$Zeh{;ov2J_dC_ZN z4z@)pSp?9|o8=iq?*Jw@S!u94Omhm5BHMdM+2TcBZamS~?@YM3;*|DOc=;`#-y0o! z1U)urIh}4OdwK{mx$l2g5nsX z>7tC|NHeg$q#XJg={O?rBD&zA(=X(K@R*bT;`7fg9y}QMo7u(=^vlp|;7Cl#S(K4w z?bBKg)$%|1&C|<;ZYS0rtX!w(F%qgUX#=JmJ!#DVi6Ic&!h{K`b_%8$jaJPTA0U4h zhIbd;qi39+VhtIql%40t2c=lY8aOT}!|tdCS0y-7Zx6Y*%)$9v(A~pbyF0Rb zd&IqE>d?Ovd#j1osk_J0-Lv14?jG+vm+ju3MEP{XRIR@iuXgkf6Zw?-%DC{~g3g}o z+F5rVkA`?Ejec8t3--u6Oykj*Iy*Y~E$Qv){^4%DJ#l(_M7=#6zW?5$A4bX23oKX3 zFVBj6y@mqrN54di_E){VZ)tNLzS~qdCRT;t7E|PW*O}mbvGMaQTqw|{vMoqStsA{od!U8)$WkQRw^llFc$5gPG z)n>5o11450x6ryboM2jTYI|*Vg#^r^tpJf8s?c-Kf& zn3VORR?cX$nw?HvkTi!qL!}YVkP>l`Zb~N65Ei5&pI))+k&A6oz}#WvS24r?PM7gb&%i2cUb!#HB?Ids>CM^@^-NH+VEn|LxnhEL2=9CR4?qwG0%;3Fj)#1z6iE_*z?6sD``k6|CRu zMf3`}^-89k?Q6QWf-#ntl71#RU!Dw`#==7Tao1wdi6)JK-MUw0=U1*-;SIH6kN5SFE8b05CF|cI7BHcpL z#tWq(nLFSM->zu)yriToZwArx(J!%Bi?&mKj<@qIipihQ_z*SB?O$#MMB7pF$9n=Y zss%ugSqb6JFz96p#&$ug*fnfK#jI?GM0t+JwI;J}~*T724VyG&6o_yi7wfLX%tNI3V$KJ2dJQhD1xG?rr|I(iaDGzwsk%mp3)_rfk3 zDyblswr#3b8Ygxeh}YT$DyXNotZ2BouSvX$XGJ=T@b*~aG<{O4int3{S84LvVrCU` zd(B5t?ID^u7+%e0Ax&wWQlaCG@*+$xP%Kj=NZ@=+oV>%6VYKQsNaG3K2qwZyMNcIw zrFEF8poAnzdSg*j$IC=zL@WKQC_sze-6@e}yM%sa%Xg}?4a8H(-T z6RzHEB94N!C8@DLR_W|x8Hv)|h4bovt(+J>)@h4@(}I0wMt*&c&hnvwrU+%Jxu=Kf z;XyeKVbQ}os@nq0szQ(ZiROGU<#;Ka|(5^|oJl0^Qog!3AF#6s6F^zYL>{ zo%}}egVah==+;S6{=Sk5*ZLGn+7;P6Y= zzuItpQGl+#Jgw?9!($A))+qC|ia6D_^zcVy!2R`#5^->|u%TG8wk=t2MN?Ax#zqaA z%TbG}%S^6fmF$dp&pi?IzMkbM>A9}bYuflLm^7JLHmN(4n0%j^m_a<7{N6B#%4MGm zGZs>rjY7M4$Sh)(_^p;kjy)!BWO{VCwMtdK2|rA8&~AuFM>t10-i;X*PE*x1fje~} zy%Z=08GAXcke3>r!6nO42~EY)t85Seo5*$;J*zC~JPBfc^$`+T^4IDe5s_n+ru9GH z%~A{z=I%y8Yyp4$%o@a~sZ??bbP!-|Pp2+xUjS@D2vgVMg`<89qM(PZw@wRb!=Hz%dFWa4V# zVm8=o8hKmZ!4(O!3(io*JdO84Zb=wnB?kj$xrG*|N8qODOnW73O$+whZNzzn`w}A4 zV79WoQDaC{W#K)`!t9aSFmP-Jb$sv)1ieu!cN(D=9sioQ3K`V;$KD1n(c{W1v9hNe zwkWgH_k6SBOWaD;zCdo&4%@Q>s;%(~%-GTWSdR;~gMWLWN6y~Q%}!n?B_el3eH4zk z9nrMI?G{}q(Pb6;%HJFI2^o9CIn(NKPin25U`VNNR9W}chJ~xwF1ya;rk2PbFGc-r zCfl*pFsN{`bgIWv1F3I(Ww-6J?bj7bCV?)xt)$9M?)oO>vSsAlnD|c%(ERqVei%$y zs7q7OD;8}D>85m2uPyPQnuG=YvpNHMs~yq!Hs{sNa9y~E;f58?BLem+W; zFsI6%790@&jnD&ypH)5R9IrV;qMNhB-k?DSqE-RI?z$Vou)JAb{6dYV+e_=Tz}8+J z%Zx+N!-&L%{l6X1=x`LoEZ4Egc&z0hD3evnr#gyr%9l*VD^C-QMrl+xop(k) zC%O*X`%;HDLXK=+?9)bzj32qBnVh0WOP=>qq%MypTYa0P9WYVfRC1{+tB?s4bjn)Y zPWe3ul@XW7*hImF=oM*v5HG_cUFI|gdnZLlih6}JHXw-8Oa&KZQSzhlgYSQFnlTJgn=5U!aaWy7~yVr&{>Xlx|+5G(t_}#iCSer@Eu%KbULI zTMR*wJEuLHrPJi=wZ%-sMC{-TTQtAEgHj#g#9-PrW=E$@%rbe7DK z6n7~&s;K|+lP4{Ol<-XH79%uvC@~h%<>nI7%nLFR8fKcTg(sjQzND{Xaj@N%Wm6k( zf7WocqN9{q&0^bN*QWu?N5)675d5v>{Di?jmTKb)#6i<-6p)8S&rCi_#zsc8oDCSB0EZYqgffKw}EY|oNt@ry2<|13C z=zlB*j;)4dKn`<)J~rw*5Uw5OP^f3U6krbilQMZW*ZKYuA(4eZD4>)0$vUVz<6$YT z^Bh4>E84hj|8rt^;6#WJou#^<7{)l}D=6kTut!55l43(Dtw}LYIDj!Nh|GTym3s|Cp>9|&W%2+0EEOe0RATAT4 zXt7A*wL`kd)jv$p0*3e;+g<;5AxRaSHn6FGC@JLBcN2`&xE(zlty0c0v-k88hFA3jHbFz&==| z!(!lR{^{^3?E8ozhqVnYLR>H4!|%oQPq@fscMYX`e~nGyf5jF!8-16xaPqr)@x|!# z-G?fAtS~?o$L3N3g?@mYZStiLi96$W_TL3^I4fN(4Cqdh$6kurq_~8!AqW{+ZE&B8u+FHKnUzYN4BV4LP?E<427OcLS^y%9z`UcX3_il(GQId^?~u>&|NLSB;*R# zfOYl8_M*x53XY+#U}h{;@=OvVkUX9)YHee4i?{xe8PB*)JH)Dla5TU*D&kl1JYUDl zU4mfNF*S@wkh!73?|NlLUt$Hk@lrow$IH}8itE6yl~@CQS-%#s2D@Xu{&L_5$Ha0B zlO_WJJ5hAG;&bs2G;_Fy#4$IJFXwlnwEG=U^mev+C{WXK_|SyU>CM zOCz1b>DDZ!2fVJSxa$KYkHB6!t*llfsOCripzTy@pWcwr<8J&oB!4XZ9@ZRu@l>n= z1W_td@4Bbbk)qx*kke=(<0{msYy!|V+-K<@WAoiFqhn%bKaY8Pws+#tv(;QfY)cqMxNgl^;+|d z^La6*yb4VWQONu-P*^qBer!;p;`kpmh5~A)l%2uQ!2PCijDPK;j^K)S0#*bTGGmC> zeE=RlCxD#z6z^6a@j|wAyqPH!cv(?NE`hYed(juNl(<|Tu%zJHLW>lvDR@jK-xue} ze!SbnNWIAOJme+&Fzr8#1Y%6J*r^S zA}f;C&>$7aYHSbRv`cfOSjVo5+_Tn~v@u!Af-;TtO^y86>m-MBc767)4}0+xC~DGn z$A_eqM0?YpV>7rw9oJgHlp>xI*(BXnJ*%`TW0(LITFl{`bE$(rS?gY=!^)Tne4Ig9gu{t&$YXCmvy82Tx##zU0j^_U(O}1zx#3W#8q@ z5}8~E%#o0DpWGuEC8_f!Ve+V=BXpvVhJWTLlGLd@^0~?R(gG{7 zVRIt#Uo*oHH=V+i`jHtsJT^}fciyWR$9uei+z#)Z3|K{^eT4PM-8&n?=pEAN!9Rbb zn}2Uq-vOOtYotaF>nnmm8I5-ymXmuZw;r9~ zu;9PZ)jph^;smpreYj(@&09>~5I4Zex9jlUa18A_#&+Sqt#%#bj`A0OusiCO z$e)Mj(X)pSc0K`z>_+m%?4wtv4vsrIuLNzhZ>pPJnbu}o>4JjxrnJaLgpv!7DGv1s zvZsT*&`vu^t8YA(`^JMPxglB}Q5Dzg=bHiY+Ig8$o@E*4og&^HF)7L4k{e62(Ug*V z*r!;N@`9p3*ID!`UZr#}7#$0>R>jg(jk83l*Hv3@m0Ol)y|uYpn}!3SX>%?hc&fmB zl`Smlu-S~pcGGQeSIw|GZQjK=ZEXE4A>Kh~XJ3tFja6!3*A>gur9tDz5-Z)>WkS~< zov8>ddUWnaW%|~v8tX;6By}ukb_`q85guAQ+qI3r?OJvk_>FTw|4KND;MuuVg$Z#z zk^jO9138+wwef?Ugg5j$<#^@Q$Yolt zJPU*)>RjdAsXe%z`0|YSu%F`cUea40-$A5e$WemP`6!tyO!lEMmCQeLHwHUz#2k2xb0qnW{a4Qrzcj2I>x_CTlQA{0*LqiFR|rNXIR zC8Kg<(e>Q^iQRKqyfvRqI_B;%I8zIoHAT327UE90a|%lh=;|G@Rw0@5y4)D%Q#6D^ z6%|HC_FU$Ltt!2=w&)PVN|Wf>z^XbO8rhI5AVpr>ObW980%pl3PM5Wb$Ng!{!K%N^ zg4uC)#RM@vH&m4js*SsK8E1(&T7nR5W!6wiZh4(DWiCF|R5amT|I@))4xQ5C8e1`wVF56_CnERa;u&DRpC_JdNim%a~o};ubem^?G%?MUE z*_xvVaKujWppVW$okxVfK&e9Gvo7lrW?dG!aD+`(C80=93(fx(3P(|1+kqy^Yh(~s z@kY4$QnO7^0XChT!rl_{do zHPyXUNhLYb&zdxrtVh*eDvqK;o9#3k#&IB}dcwf8bFP}(wjh?D-O@lA;=Zg`~qLWLsnZ%cs{ zW!4ORj$UuXpg`KmVy@Cyg@~u>5=o0t{3v83e1^OqWZEOk>fvBFR3SQ%wAoT&s0}4{ zSH`2)l8-93nUP5r@G3TTU&@IrxH;E#SBmiQ<6o5^pFHdD71yl|t=y4HyA;vN}Su0%&O=<@6n2$t6-aVaub@^e3`a@>Z)agnb$@X+$mk5j>3iG)ugRx zPGEJ5mDOz-*^<%z=WU8$rUSj!_zt3{ik@N5+uwg0XGD#Cg3Q=j(b($iRFtnDL|bO{ z4dxsA#4_qVNbJxaJLi>d%gCrFixl#p`YrwZ-o-tABa!p+tu3O;Ftzu7(6l`ASvhrl zB4P&h59O@x!lD98=&NlOjZZ?$p0yYtW4{pm5SM=iU+sUk58(5Bs1idS&`$M`f_P41 zkE7oZtb|*YY#0;s+yP018p9I_9;j)Mn^=SnEc6a%aW6{c1d=daB<85GVW*og?$!iJ z*#CCgaM-O4up|}VRuhgoz6q4kSbR%uIPN+dF29u~(7B+FvB_zOMa)a{TS@rd?Q3x~ zkgOe56F&Xz4>)zoigN|y82U`YXEvnS$SgO@$6(Q6BNT*_;dX6kb_?eT6;Tu|BT%9w{Li98_5fmQBcfap~ z$_dchyD*#=c+Ld3J7DOuLB@X|pkOhVFJ znI;jeZ9N!CXv(4;uKbqGMNaS|VJ|zD{4h~e@62yw`95R28qaZsyzfE3)tGW`c|WIO zNlhJpT&3jofS%*0dPvw8O*nseSeOYT{FrfpR6SPzVaZB1XuGOQ;*2swU#EMZ#N=$T zw&>><(JV)H$I@7G6d;7JEoPyh2mDWUfoD8@MtfdYC=}a? zRHh5F;QITdTff`S_SBsJr$W1uE`f=yh@g#5 z40}3~F~G;Ko;UZ5_#VDRJJL_@jm{A$Ga3-g?^KFLgsCnAejksTvnKgAr>$juTo#C}fLxRm)+Z z8Yg=%@_iH(saZ|uy}{kST1n^9=20s;zKfN=&u(Db%BK~Mzh^6b4&5EaG$y*VHyb+` z^a}mOqw^z{y!uZ*+6h(^V9fmvcQY^8(rcQy8ro4|5ltnHY0q|5U|537+0z7~HFBG! zMZYWi#O`}$7f{o8x^@2cj_t0e+IQZbUDAE|44Tg{yX?=cnb@QAlVkdL{}uXpD_Tod z;MCbove-Voxtg;rgHm3xc5Tqyo5t%+oT5`5?i%bF^jouFF@*{+e!Ga_BuRQ$tcXrw zd#xG~&aU*S*1fFEJEdfbZ{;g%}tdnL_<8V4c z-L*0N&&fIe&+kU#|DU?Ii;*Nt+k=>%wZx6Z4dMc1DOm4LR%)ucGqe7C{n>O^PtVS7 zcTa1oXJ<#d%SU8pRAzKVM&w3hR!xm48Nme>APXe8011f;Kp+{!kAyK2-;ISV5Ep>N z4af-dS>i`V2q7$xEa3e)KkqqlA~Le7d$+MZ&vs=*oO2@L#5wQJ^FGhXu%^KF%*MsW z$?7^$5-tWlA}RCrMr0+~IHq6_p#ga|#&dou31+ca!BJ)VbVzosIlyDYNC&Hym53;( zKXIQXu09pI3n}7-wH|N(mub96qi037oRcm(w(%2{Rd`HEc8-K%nq333^vR-p zIkYc$O*@?To9usU$2hc3uRA9Uw(TZZtk42YXs=uNCfbW$*y(Y=giU64d_!-W01Wi{ zU-X!_wK8b`JFzEV>J2a^-^NlQ6{t7!~F$Kau>8;tqw+Z!C5is;R zAq7q*L~T<}!tzsks%UQ8U1xZDLeu&5lq(wkPCefHYFq!G_1WUDRg(~V)8n`w4cG_qI54mU&*ON= z&!e@>rwi+t>x{nY=!m|%ik{&}dz*($0rZd4{8zXj5-C#7+FRpcNV9KcIDIPP1EOf@__*)>-ls9?WpkQ>5h16R7>voG6#XKiU- z1qIt-fYU3toRbgY4=qr!rq+odx(65cz$U&xx*Tg_!p6mIEweT9taC?|f_Xt}<&}ZT zz7~J$e6N3h^pv#l)Ec9=73;nB{0bTUXj6xkx(04@CfT(XPSh9UeC~v8dxjCOZ=Hz8 z6P1v_GOt5kh5rP{JhJt;v1q`lpgAwVn=899NukY7`q6FmoO{FqrHms3jaHd#PjC_p zVjTwZ(7##%cE#M{C46#a|LM0C|39j)D-2X_ljv4+s6r7=zBH63o?23LZ=u(`HgUh z8;2?Ki&~i+9szTrN@fcM|1sqfYHq?pJ}U#uw9yB;N`mF5t6~}Lk1$;atw5W)8WH{y z0TK;NhqK|o1=>54b!Ap?93IUoRpDV*a*v$Z>2`P&U4tc0g0N+b5yK??F4pk_SZrok zMVhKlRGJ%f%+zucIUZBF$4Y`i#?a*+Wj5Xt9Ub4oT&yd!ZE~tu(C5NqN2+&SG>Tof znK@K0>r_z6G3%FQM{6r-1;GNLNFT*@sS7V`^Q9wjD|_lyPA7)nLSe565*S}l{`>ZC z1nDX3t7;pK^Cs1i*j0NEhgi9BpO-SQ-ZXPlx{Q==NJOwwN=bExiZXnKpB)HT7=clC zw=x>`>Bcs@?bS_$m0rDfeT{Smj?0_Zt6@|=m8;&Tho?Wm5bi+_X9vt!_+oE}T@gPK z!(M6o3vgC?`OA=m6^qz%6`WGZ)r!o`I`Tif{U@msqRcHCly??>w9QCaxn01_c8L==-CxAt0ITS`RE9?lL+1(EDGTKq8m-b6N;4AL8>HC74J z57YR2jTK&Xyywr~yzg5+fLqQ8K9Qy0BdT@V7yLHH*y19|zyt%+1q`Rl7(exBkzT@w z7-xD;Pv)=B>ST~=#aN-jRa`_ycP?Aq&f1>|@-i>O z#f2xkrt(B#Py+Rv*2sRU&l2?AR=zq^&KimdIkf8wcw6*k?c;yrX%64p4i?EC_x03e zon*F?FbrmisbFu%aZDSFS{?Dj)+i$Rt9Qv0d5_gg3=OeZbx88bxBt9K)=c<4H`HAi zPF9KW)}CY>eN}*2$Tk2tCPXgEu*Mr%x6y^pmX;nY zWsmdqMNBdg^@%)Qr`go0W0}NFyf;=&xXAN(jmnIBu*j@p!(*iQZv}CwVSuc(=YY#O z*Rz(1Hv3cx-INs5K={;Xhie7!W?}7zmXt}CD;j(}iRR_wniKI{8~j0qGRugQ80j&z z%+WE)##A=}^Nn_+JVEXclN>YhpRctW|26@S-J}h@Tv`)VjPXZw3Qpz$=LwDnulp(e zi?FXr!ql%R$xQew@)1^h=n(r6pFL9NsyS#HH6!Pr8uQK+IN8a@n(QOyweiU$o+d~J zOTVCtpUxCME%=DvmiRnb47*>`-aXT`X)Lwo(}oaf3I(p1C#1rR#l)*I-z2!ZA?JDf ze|*%cEF9O~7Ji|=jISaRJ=z-_M`s1DfAHDT-93MJ_E0)S63Y|Nq73+LuGaXOxLyEa^3YxB>aY-rlns&;g7b(xoiHi^a^sKD)i`?0@hd=&s3 z#JnOEF~Rh(u*D)>pZoX5KUsikuNCZ5bOGKmW(xtJFbgK`*y;Su}x7W0#n6NbLb z%H;4+?Kad(jjAC4Lr~pqvc~Acd=!aj?h|1oB1eJ4GozlBTWOkC*Sx*IO0J`GDuehY z&XTIXv3nY%Q9eG`TlNCFrDA~kD&*dsusq~jV6HSn@f4S3bf}ods}y!~uoAC|Vg^QV z{9S6uPGWGNlNAh@(ugm>FMu1-xhJ<@haWtlcetZ-2uc^Ufj~i>yyzSJ?$Uw!+e)xLPjE7S{P^1+YK)Q``=Ud@rNJbDU;v?h9%C9@=~hE9hX`4aCMp@S1+Of|#O zw*-5FY~TO&!CergchUIr{GNs8wdsi{3^UrGyvOF8eP`5YGue5U-~l`T976C>OxK0k zRonGEj?fD}6adLk0nI8{9;I`8wx*^f{-B)LM~#%(ws&8vOb>NjR4Zs=h7jev!+Y39 z+a)-8xiKgbx_mu|w=#4aTORBWG9&uwPanU0*-CQhOlQU6mMC#3=azj0%XQI!U#Yzm#pkx` z60~$6G#sT>bXPA9ZIN+2m^dc5QDA|E)wF!PHBpPSnmg z?2Rn9i&V?_&_}wnSk5)!wm_#haTCkVnc=i)fq{N)2GrKjDLHXX2eO%hyFvP@Lob=2 ziEZS(scBDb+0X5N&wNfA_K;s>P9bfO6cz0=OXZ~P!)~@y7ig0o$}u<&^<0fJpbbu! zk6H$}Fe;~8GvU!O+l%le%60;l2wh6%y^HRw5wV zl@vzUi*V^5Mmr+F^Msv|J6`J2nCnYUGjCQYz;!+b9g)&HFJxlUqQbc1mNgG=; z8MYFBjC5?w2?t0FhU@$DK=|=Zlj%mDD`EDLsiy-VdalAKI4b_q{|-Gi*_!o$4s8V9C6CZSCTTIn9eq+_BA?pd8g6+hHZf!{IAfCA(62 zTZN2EC2A;S=xOcBHFI#?nmoTs5tUKKh*)~FE-%4MipB(g)Cf-On8Y08@6rV#dx=~< zU>m~F@CI7g-Bn1|T82OR(dFXN{6|01DHe9%{&&(WAj|#E=D8&M))gI_G^EY<_+f{IaO@lA{q=vXV~h?r(?Z zpF!+GrlD1VBV^>agv&Oo1;N-z;P0QSsmJ)5F=jz`LYFi*%(|oErTFjR>G2>sGcjOK z;=r?6<>GY~=kXM=Rwmc1vSmig*;O<1#z|qI8`g-DLs7#}uVfyBSAyZ3oqbV6^;7*T z#VYniqy2Yb1Um+BIO6Jyt&%uRbJ!K1Z!i-tGzZ6l`0F(BwNDjwHGAPuUKZHP-J$SkeIWwlKx zy@n_dTb9ZTVvVd}8e)@IlNNDNZXLr41}x!7@TMusMisYVJ%s2pj2duB?z&2BsV;u) zJafI(-mltKp`ZOzwT3GMbW{G9y^Z}folgZDpm(+L+%4S zD;9Uv{6|zi9mZ!lmDP?)WegT7{BPW(-af2VS)`h@SUaV`OppPF1#p<0n^ITX=Sc2pBcgKES!r>jRET~e zT%8yUPhh}ckD~>9t5i756j{KaD91!kK5o(h(b12NA|UOVz3!SI>ZT6b+v~0ivhjNk zNQKlB#!4?_rvq{%EDjQ?`~HaqK*a0SyzqnBz37w3e(0A8t}XGrfT#0GG*0QSEQ{x{ zrcd8eKg67F<%;0>*L6d@JeDf49$|IJU~qbG`H-4kNc)=)$cGs9khoTa`}O(u8Y23N zhbjVTt9>YJg%()6is9S&_-Ij!{x@z98he~P5l4y|B zk}B|p`CP_^dPU!TV+8IP*AiBZ-cp=NOzoQQ%gqDDY(VC&HixSYA}&@PT= z&1iG=Fzc#Q>!rrQ1rq&DQc6c?G9I2V65``-wBElbDpa34;ch&g#z3!HNKnKEF3u0r zpxl!-+%;udRCV4H3F`lEpK6%=v?yB@r8QBxjfSK1)#y_r2{IW=FE!_MbjI9M(dPo0 z<`Ad0m`9!HQ|qL6?}|lrc&sUq_xA;(2%L(w7EGez5sExrmkStNq|UKRejcwc!FkNq zde25hx-1=F6kWuWBP2dgEc(^8dkIzEQt)u=0l_C&z=Z5H zm{UcdbTm4N@&tUV>)KdyT+Gl+X3kONy-0I`&Y)2ut9P0wZjQ}fsGWEoyLelMuV4-z zQqGTNk4LqO#^OrpH{bs42Y1~0Bq8H_+2lT_<@l*yBRN3+I{SJ{>n@4ZQwN1pX4bDrkc^- z{&iLP1r7tg+_Vf%0exJijXR)?`63*6<=h3wICpTbX8BnBwO^++#1>eO9&Cm+Bgmck z;V}G<4x)=>Tq*!9ed<~O8voSGaWMuXK7}~~qpMROUr~MlOzk99oXitgR#F=FQ@Hd@ zU)qHW8NZ4w`3}5el#br6vnP1rOS-UQS6N&lDNt`*rb)hCXD{f|FMCh%(vIE1z~Gw8 zG=s%I+L^+(zr?KIdez^q?>E%W&$*o?EaYSopnrwPkU0B^$IoMrbfTmFiO=2VA-shW zm85PHx~?6fLg@4Bw%cL_dhrxN24DR3j;gV{QUb%*czXvTvYW^Oy9J6^O_)MN3YFHO zc^%#ne0ydkxeMoBqj`K{*AL7jl4bBZNUziIDpVHGn4YvTs3eF)XYi26MO;n|Qi4%B zy=uM0gl|=pz0DDSY5^ucSI&yJt{M8v6;p2)84QS!3iy+QX$v&v!_#%we6hpG@Kv&0 zj}gw6N3ZcHf|s6wp*TUPz(oC~svPO9sAuHlyKA>%U!s1bnkZa7*?`v+%6zjFAoiif zlyO>3R<(MjnbBE~^f`Viw*HXJcTLC91I>J_kmA^I-^}el<#3pvhpSDT704y;+ilFv zbHT2@Y%))#Yfob5Ss<_{voQ`tNIQG5DrbhUBE)ptLeFi@A~&w5C@Bn)?KkXbU#H~5 zBVG0damD)5=VVS_RS(&)v^f`y@~bidem3yLdOO9cZ$I$sXgC_7127y#bVS+h>1-}} z&N;)CGlRN|>2rZT4RORtToR8;3-JZzmt3@|&0U+ORzU|f4N7!DOOi6I2E@a`$t^ z2h;h9WrcM{>>D*QIp?=c2gCRQi>FV^_DAG{kc#}O(H*mrCwLmdS1yP3O<; zHmQI1$pj70Yk<0{mlG#qxtgn)h>|%7n(yQOt}T3Jj$%nz*uI}8GkEu^5TnRv!QtuO zw;Er9dj(jGcOTC*jTbCTaJewqJlNo464yh%K6P9}*uB@W1;&xSV0^LDI(RVDG+9;J zaLw3`o3?X7^0XoI+txm1E8^mY7dVGKqhKEgUSm12<^XjF3t1kjIF+QPhT-p!Y@*ik zmNQz;@bwJxoZ?UKO%bsOKWDI^F3Mfw5&gPhnoll8HdI7}kWr z+~mW3p@V3NanOKil1`z^;KTXT-IT{aFEVgfqVpxPPCvOO&vS!ZH@zWPDwBSr1Byq{ z0!x=^!t83@`l@41RCgCidxw1dopiav$F%Bnhw9XK*=xreeOEo-{u94j$!@1+*Phc! zjni}O+Y-`Srq}P9QFrdfp7UPr=1ytt?d3gxXK4v17J2*cZK4WeQl4G-gJYR`XD^cs z%#dPTamY<<>Z&-jieZRM7YVPUsz+>{;y;W_m7e89o(=v!EfyPP#qbJUDqx|JhMC_n zj<{k>yg05oD<+e5sZ&tnB<5I>KO}WP&4bRvn#4JhFxA`R1K)4c-0gsjv#)b986QUj zCCk$s->yZoJ#qwjj-gQJ$;jW~0A)a$zx1jg+j|%;>xE(9Cx?zJu2q!)r07fCs1e#- zJ(H~GN%jZ_v$|2m2o*dLR4BAOAeZrKo?)^doWXP!b3*(wT|{q@*>EpPGYyf|qaAHA zS_Oo8cf$oIWERa*SdFFyzlb!$Mc}t<_+Mj-6!ek_4ttfF!hh}or>*Kl#5UDYa2F>)`hP@&VRK=sir|6+LDfVKO1@Qst`pah4J)2=h}swn!JDL9)cHTW{pFwN z@)eW{q!5Nc6hl&RAk94I-;;yMm3mu}~b zdX|gk7jT`obp7fLo`oOGZz6c#zd~Ns-&hk0?5gjW)ftD59I<$o{aMJGW*Mv4dSn>?k{)0jRkH_6`0I-xs#Xr;;n85 zAq+{LV*o6RQI7}%lXxDIZKEV!3XR_9jw+1VrFXj_zILno0b68(0Ly4Xh4C4lGEZl) z?^a+;WXaucB~Qj>TwUJj-MmuQZgne{uo9q(H5^g@yvN`%93DN2C=L#Gz~vn$ndU3vp%+kcR}2)A@9KH8H9sVQ=95mZizs)38`#duZ0H4KmDNoku*O#7Yun_5UE8nSyOI>tHU=? z^PQaH;~eORxk{~zrkKz1CyBEUJugOaDsD%kNYS&w^kPX8;rQG&6z9q*S(Ub+K1Nm9 z)(kbeuDha^3oT0}QD^c>0`zZn%ZweS(%_9+F)dPRzK)ukh{y3xnW@b}c$BEE@J{zj z5^y_MX>|*HI80a&jLN#41~uJPTWcmjL3xqyxle8>LR^Z%{Mi5wDI;6R5lS($0i+!+mP1MP&1Cs#Yhnz8y@z1P2oOd z3D+!&mKE||V=#A3%&Trjts*tLEkUG=bWaN56BMTTuWFD88M}L3Ch=ts-%xbE zqQHvypgW+-RmcI1?eenb<&f>g$7+i&tTiU}btUs9ub!S6SB6Byvdo%-_Mzct!R;V)Zy4>CU9*H)Vwah>WaeiCX6A!b)`lELf)RVGK9q2tnivjusQYsK7w$!8 zR6B|qXX}yN{`oLFLqM0v!CTy$q@fd(<0}F`JP%iKwqYLHgbb9XvYS#;&D?=?A@HOe zEXTcx7dpX2KENk6b69NFVm+BJrQ!iAx^G2vnX~Pju z!E{`$a;J$WN0!O#Xx@`>@lIQRrg*1oSNa0knW)~eeUa1Tcc;#5?LnQ>SCXS`nq_MH zNiQ(^H*Kr*u`5RRY9E0LQgiraJWbKnU7@gj20Js10N1Il2k(FvG$E15vt8hTXGoYc0B97mpkMI?` zqVPosQu*ypX>i&CbjfyF>jK%uS5>3Q1VU5z!3 z5-Ss(sZ*t%E?H_wRLI%?NMpW~OsrsIPn1T7P6T`6@->thM=q3Xybp}F0wx05Q;uV- z+bZbN>-ffWw7Nm~#7YA#WewoOp*T?8`8LuSiF}-610u10GtCqDIY;Iy!cbhJ+^*20 z4`=J@8XPRdbY1weQ`UYj=I}MbcKN1exUa2n#nDr#8DxEUx`SXuY*0dQYs|> z8qGEId0YfHc}$ym2R0K4Y@%E(VD-XIj=`@wJvs2EDlD^E#vC%cY=Y`lh-rjaN6@ojlBsE1Qyc-To~r_EGt6@ht7^cz-lojy)FLgn@2Bx6Fq@F>ZxI$LgoU? zP7~uh*(LshSg{v8(J)wvfMxxdr%h^>g0o;BH6Mq^J*(9ofrV5x`1N ziPK!cWc`Gzkpi)7<9JG(-_&;6@jA_>0$WQl&A3$aSfMM#tQAcw+I}+Gt2L^CiR~gT zOBAr#!%hrcpR2x8x!T>>+ErYpv8&sp7rU5{#ib-`xwsyjM);p`O>5^fH7w0V!$Eah zegp0qEyxV?XI_}E zMisocsYsGXMRO2j>-=0*0u>j~SMN3dg~b=^1^Sr$H+=6?S$EqqyZ8jJh?AVCQWJCF zJR+OO1A}Nfx}x;+Qn2)$?hOxEx(zloT9|*sMnJa#wLr5s$K&cVz2&oVU#cy*j_tdl zs~uZWX)aqJYe8YxJ!q|>T3SsVA~Y0hSvFTmQ5jw8_S?bjlxTbe-z^&dQ~SnL6pI|h zhtYG=7}V`kDehyX%AQ_m=|7V;P}QmAF}PyupB|h(ME-edQ1z+C2@MJ&O+Mz;$#75T z#x!Cd3^bkMw5gS1*LJJx&r5YnxuBkZ>}P&$%2zWR8PnP^1b(eLtx&|jRy7xspt?cWLA)R(W$o}4{-Zf{Dbwto*dc6&>om8y6N zEvRbOQe(42kneSKRn}#?Y%17BgAooJHW>S~*s|>)^WeP#iUueVWK&wTQ^$9s0f@`i z7qW_lzqU||8P@4-Xi}Mz!A6%CcGU^$?KL&ZY_YgNH#8jA8phe0OglIIWEP_&R=D{D zw~K4VZfu^3{#Ev1PtR1c-aFragj_hBAuu&j)`{N(i?$X<+Zz8AGSw_4Yh|}rMF!?; zYh&hlsAhD_&=hz}!U1DsAe>~T@w`|?KdzI5;_r%a$+9tJH=Wo$|Hvu0I}?Id60aLD z6R5U#6(s#FInkxg2wPiq55idjT58}_vzv(`R2AG;3gdyM3VAp1JDD3qo7YnDrp%0^ z$A^Q5qy2s(IE)&gWlq`}6tkjdnxPY73eYjA7Bs@GMwvpTfJ@9rI9>_Xmnhng!9*i3 z4eHXJm7+q+AiP{r?Y&tv{>q}6bF z?_DH?6l3a8vZ@0VHjMA!4!9MYAgq<%)@TNcc*eA)_`LyUDDo%A;6Z&bJtiKZ(Qr+gj5 zz2n+Q^43j8jqQ=B56584Pl^rkEQy-GHpH744zjeHfuOg}6!px=8qz}k=W-qGW2N`- zpixwenJ0sw5S|+w-`)Pf@bm;%l<%da`j?yJ)L~cSO>l0UL;|2{CQ{b-vDs7`9D7ds zz%Ku!S>2uFrHGYns>c~oUOM`N2>!)d>H8`%)=^tYslLl0TdDJx^e+Y%V+_Cn;i+fC zRV#JzaxSkKH}jraIrL~}woYO0tVp|gUR)-9U&{PdO~yPRATE{6UHx*EfzV~}xOwRj zs~iHQ-%Q13v6@7q;bVk|$1K?H%9+1%)(_5Qv?-bgf({fER}$6EbkhVG-lWhwue)7M zicIB|{7}R2@#u&qhPrY$8Xf7A>eA*dc@XuUozIDt&MAumw|0Sq3&`p`&d`AfDV+A@2f{#EMPSC zs5lEtXmvmrP01z>6wUoQE!Ja12&!{;)f|*+?cmhIm&k7L&{&T z2gAWMrT;nhHXo-dCzuA-XI5?jPZ%B_pa!1k5LBFTI9)q>2kd?Srm!jZSPTyd;^AI}etA=Y)0%>zaRpaE$ zI}5G0LQ0y!B&vO5ERapA3(TlNXRr1Wxs`q zNGwP@Lqo^Cm5yqN4|}tW>ZDmTP-_Fi>)<8h(Tt#ql+15 z%Xu6q<(Kp{$WuK{3)*8gsK;2daWp!J*BUKWGEvw~w3vTiuP?WU(Qiv;F)RVA@1vcU zKmEQRprCCg0lpAr{ijC{Pos;4#2R3BBAq08RfqiWCQ3Wy4S)B%q1wQS^9XQ3QcX>} zamQjzBf|+=T&u`o1>Zx7OPuZ%0Sj;OC%ug&FaY`>{>2*C zlVlx;b?7(1bp%79kGrl>>P$2~Z5Gi(q5!lmF3Lo@O%n zXjdiry=yDzeSV+RTjAfkw$fe@)}f8tzy47tMRM!S?^32d-hVK64<7Az*a(y?69##PB>L`f;2Z6cd!r84e}bmeNwwJ0|{gFhKd$Jq#ge zz!eIh^)*VG?&uK#-0MU#LMm;EX0K0&p{*t!pe9_2kx2W>zTbqOetXeNg^)U8-@|`| zZq}=IUfR5YL4Q9yI{C4>F&4wPuI*d~AGuFL$E|q@eQoF{7zpYel+bzBmwb~80 zIC?nT<`z#z{dP54z85-dKhk$EVBTc~+{6mc$D6WdO$v<1TBG)uOY{C2YveWAc;xOg z%i&pE7T_JnZHpx?z>|2Hf=veNn+P(+Sgtfn)URj_Xet!rz_EkvnIyhgd-xmw`aGJ# z{uir~3q=S{#8`9m(cH19!)hpsa@(9-y~hzHcm*LQvY4TnMvn-bD%<+Z&%>ue0 zFW&3k_ovPI_Te?P*z|avHTKPePF`g@y|;?M)(F1wBe{EtpIi22+G;H4rnkc$)}GzV zRj8xqRyddfhO;6o%6M8tPvC8W(KJsS;_t?423{V(YpELI8@PU=A%uSaJMk4sc1BklOobu(<*9u#yj8az1aKm%?q4Y|K@|c z^9tORRiG}agq2}?io?;X9b?2>Jp|&_yrCCqOI6;3+flgLe7+Bt43gfHjoM*on`a2V zq@D^=tufv$BtJuV!mrO>Jc*w2sWREHkxs+p&KjF;F4W!F_?-&jy~itV; zh_|OM$aollge+O^<-JkIwcSM-)bS>+8k4~%vAIbYC0Htb^bH244Facz2&yBN^tj*r z{L5%(xkh`XLcG6&R4Q3U^AZW=f=DI*_87Y&xtM&YQp;{8iIx~;WO-7z1sl<>9t0f0 zOieR&eO0G?_dvroKKginzgLG6k?CmQM9AFV0Z`D#UX&t&bBFh^?Ah1qUSBL9)(1Z{gYm&mts@9Qt$)@LgjcEa z?Mf^ZgagBn^p;Oyup=A;^x zH*eB^MUML$77F42PRsaOV^^#p9%h->fXPTz#%i#FOIC4Frr^i~G2JIYy#V$~1;UbBB%ZbZvD)r@)%nO{OSyr96Z!ODKw~87-Ypcsb7)hOM zAaABLn?(1peKsXhYhq!>B4Q)RG})^hgD3>Wwg%B+@fhsw_L8Z`GI7(*UfLl9nSfLG zod*gZ&EKZwmlxFrh179eT_&7<(1^x)5zS-FOeOSgjfL`MiAF{dy^LomGW1ldKykM} zOLGIQVjNkM)|{>tZ+|~60&y@%=6|Az1as*7gttEjuj#97)W+)r6mxp_d5mv8)iKUf>9lz0B=wN7ZxHcRq zxYfNa(p>LO-rcr32ybgK(7Z`umT=uN+OCL-f=q8)VZg-l&31@fPX*?S82yj8pj&No z3IoJ^fr`GG)Q@M2ZmcXK-K61gWJs5kwx+NsOhDVI0O>~m*$5)r_yN0{cngSGCVAVr zK3jx389w$=4bCHGn}M=9<%9_Lxnum@s=qeb2ZB9I6cc(?bgzsJeAI~VdDS&pv^n73 zR5AFCtrvXJ0`YUQ=(vW}IIh|!?2Bms1dHK@+h=t;f^_~WTd2}5VTBs?sGdI|y#!fI zWQ*XG@RZ1XEYdytddYxghHf@6~6B|68Pp28rE!OW;}W8J~@3g(RXjjie4uh*mD=}7pPM-l%Noj7YE{Ejmj z7a`a&+59x%!^12RFPz+-xIt!F-95wv9hcuI)jIIwiQh)bi|0=3NXR&c|Fn@Fm}%mY|Wh5uaOjaJerq*ES8!vXz2ed6Qj zkp8B%{LlQLK{C(rD+KdmF`2B(GVnb$sC~$f)Hqa~SUMXJ%_{Sxct+8Aq2n2jiB8nAqWLe9_*V`{-TaZl_yD083?vY(matNAD6LW7NeYD zm4S^b4%=cn?$FMcB@(3UMezC_McVO*W@}r3xri@CSm%=WC8pE!hOC}ZoAF|+KIh35 zIvFc^-vpw}im1{x_|p_!cWW=vyVE~<>1(?S_V#*eDdtUav|^8GUzr&kW?U;|GTMQE^eq`m zTU8gFDeS<9Cxa7gh1QRMzgEZ-k`Zkw=xJ2;-cZ$}9pNDE_eq7ItIz2pDAzMIH;f(P zl>EH9XSvU-dzbpWx_6n+T}piZE|O};uee6q=}{MQ-6QiqYmvFVF-E6K0{?Dw`)P%! z?Eqrwb7Et%X=i7g+#=O~+(cP=ktki&va<7s@0%8G{a{ry4KI$a*Mtg`;lLXfrDp5_OM(>D$DF?s zybAVZvcRwGE96JMaEt-mhQ~Qe zXYu$3J+7V4pZ2xsHPs(9s*cmtQXd2?G2HwjSzz#=&LwGbyX)%vJAY=Z`X0q*P_Y-o z#TTp=&Gp1pV^)2U;L@YZj#U}KmmFw(k>*Jk+E{x2x)XG}@Es{t=A@));ZXZ>pBOgE zJVhYzDOO3i=#PmI1bvm$Gz`+v@@b}&KzHaa9FC%0@Q3zYmiQdMxN%X=iy~MK$pzk} zbDjun$-3==OsI_y4({zzeaLo~R6i=wN%6j|8VgklHW)uvs*-(>WsR==gw$x zC*gB~&WR}_tC6&`V(Eam(r#xuF`>gRCST|qONJMHCF`?L{llc1ju8lj%0jeCq4P=& ztExkj{CMtrJz(HmG}TFo45m$1l1k)yX_@;)!RT2n4PnU0s2gtw!RcF0U?X6{mrJ|Cqhj!Kr9GTD);BbLrAu-PODEc%y-pBt8 z;6Fzv@L)$LMhUFIXT`7q9)qlYTH-rrY=j!(PYj-cD5&<$(ANabh6|J%r6UI~b<}_( z3hci}Fq!fYLcqfOEyD!*@z~do4i0zWpE%Y2+=B*x-mPd0suNf-i&ym;IGrD`W%DeM zpmGjhwn$%CDFLh0S%pkjIv`8egxor#Q*0?)@D4C^?JgJOys?9o(lk<~wwqe2;hW_I zG*N79^Cxv&gJ$#Ka1iZ1k76BAl8zuaVWO;x(--(Pt5r`cJ9!S3(|uQ|r_r!lseN!_ zhoZqOTHyev(5s+w&}Z*ND(JKO$^?DcCJ`hjnWqNyDx?JDJbhQ&=T(#Bw!UU}3w3NQ z_u*+^*Eqate2DgTww31bnm+&T)vH%M_lDP16cp07AJ5kh&mZb@ycJ!GYPZW~M>{WZ zMxCirG|rS#aX(K0S4qXoRO0wwfKzuKkLPhDuWnBqNuu_kB9GrxTL2LIDX-LKy8}B2 z>E)m~1gm#H!0{@g-+XPXX-igXwCgJjrJRG;H(jG#%NfiAq>1ZQE9dt&m?-J*ig5G} zey@5sHaG^4&Ny`*QcWKgR+#e+q$#!`%}AxVMM*gk1a}Vm!Sy?tq0ALp4p#;1TZjw$ zHu@t55$g=4U01RF021`}ImN0oSidQr@C)cbCEZsvYTBHR<2P>C&t?93SYjBbMZ&*9EZs?;co<;2oAM1nWFjF{UxT35vkGgR@Exu^*gyaI2lV)`-_$A`HCKjvz^ z(_Ls<+0kHhfMwjWD`k%i9u5@2A0OlippG7!#ljGGh}P+XKjhZbXoZj)^-1kVJJ8Pl z;b?Sn0$%OIQM7YJ=)BuM^>Md)e>A_D&YbG^->V9Ex9WID)%s!dIcrxVN{RsgN4iQL zVLrQB#af&&> zX?-Yo6X#B`RH>wmIPn@d+ylq#4>WneAxA9!GM85&)ws3PzQRB4F1u6pn<}FCNm-F( z6|SmrccRrCeWunbFpl;Q4x&$@{rw|0reR`CO#VlO{xCkb&S>MWZot@BSP%(;W(04D za^y*MOxcn*7$&94NG(jfb6h^hh_WK(CfOq!uIIrTWE7|4FXJ5URM3VtB%iS;|rps~p zRWid!3PtV%3K<4J6M751XD)Nq_1==k_WWgpuFMP??bo<2ze;p69i_TDl3ogKOF~jG z2d2+t`PmQHw}o+k5=kWc6RI^xaZWikOOhxtw)>6qZ7lFp9`*Vr!4KOfGfvSa;Q-`w zsZuyuPviMbL-EI&-;+tq;@xJ6$vB={z>(w_#g9#$sT30{tzqK3PQio(bGaf6MTB05 zV=&f7=u8h!=9q05ps2}kgp2AL{@xi5@SpR(UCw0Pg%V3CmdY^2*JCrw`9(TYm~s{B zhu06^0oC+1_{!+I@_T*@8$ty>Jl%YV=1V^f6cX(Oaap9&IAB5d14>UMfOgyCZXj~o~CcMB&eMr5Sot%0Fjm6`-fMBKiQCmIWF+X)5g0~PS-w)N zzm#akt7J`s)4tvH)vU!h0=Z+D-A%J>QW8IPTwWRiH7wA%+vvo#h`@E10`NsKI!MzV zEl&1@rWmJyw>VXwG4dhmo1`wOG#!tuE0ja~OKlP@7Da8#emaS>G(f30GwqN)xZk0S z%p*Xrvxpgohof10JzRvvd>Y@VTdNa|86VgZl04#82UmoUKaIkvO4;RJhf;68@k`tT3a=2ZF z&UUMci^fIiW^282F+3jl@(%)dYrVxFW6>1i{NNU;=oB_BLBxo-0Js%*VO^q>M7>KMknzfEpBW}3 zcsbT%^Y9fxWI45pUvpRrIJ8f^jW5;+L_^D>KK+azj$<~{&!HAGR>%sW0L2BGx&%^) zCzpu9?oG$Uu#@NmV>qAz9T~WaNvouec=hUZMemF%&9nq}xJmd8k9`s^mOn{xG;ipK zC!c(QtH~b(Ruj9Bn0TNrKNUrX&EKn!K=w3D()tJ7!?%gghG3Hk%#L}SUC<9|55Wiw zkI>S|OMsuO?~K&hvT`ii86&x`Die9E0Co}PiX>abnsc6p@~&GxEEzYY+P1gH#!KC zJ_G?StXRiz=GwN&6c1c%5@!VAn5>tA{6WYVSDQ>A2Qlv$LKGOPRmsHceJgc09K#AN zUX7Y}f(CgE?{HntzJw4Wdg@s=57tKdO_DH?xk{w5b*2 zhje1PbBynzZ;ivvZX|=a=K^kgsxav@WwX~EBR zc_XoZo4rA!qy)}jMazjYv3<%}qX3(%~8Ha*cvg5VlhE2Hnce48!5HtGg~KRj;uLu z_{uF&qVcI4{#;*xKXTZWi8>w2V@W7+cq?NB)YbFP1=!3;b z*uW;Dj-qV53%?fM?;;=v8!^s(C_1Kx%hrNp&QW=@&CB+or%mM2du|EB2y+3&WW{7Q zho*!F#`&eLPB`ABV`08ZD;XaoVvv|y6+TtJy6;I70oHTw zD;Wq;CttH%sk4P$+cGd!3c&9-^lD8s>lg!>BaHcuD4HoAkmwG(QarW1CB$MP!qxc3 zNA$+|h3{%nlPWd}Us|*Mb9Z8Moe9j*3|ENkhLavD&yQEbKfG_D2OsbM=CJ&H9;PyC+?I$P~VqCLrHaF9A_n@M*)5mgD&zm z@ZMfeK=3Spzl(I~t{njTMk;bES}c<>&9SyN^*OcX^a0r*X1*&qMj|lrn^b3cEfN%6 z9a3#Junhfz7>4Q&qB+UupkUM;m6GFzum;zVGip^d8V!!Mz?m%#IA`R)mV9w6<7eo9 z!1nhV1`1Y3k8%zX#*R==(vsTH&oa?45++eNG_GkJNqBG%Rx6YT;{)oH!ZZ}y&O?jfpfHNMk#{_&GjmRiJ@&l<(x>G@V+cjG|bEO5+^G+P; zPjMmL>LLbX{wf;D;l!GPR(shPo*?j9a4&Nfnhme1UIeN6#RMk^bt{}~CxGozmE0s= zbNCAuztZeMP9bi-kEUvpUb!rG-8x|qLU`0j$h>`v#8ez^kYX5ICPLKPcxtys<5`S! zpG`>%b=ZzHpkFN~$p1hSWRYlqbp!tZkH4J7dHTKj(yYDzHP=vMLG~miCZ@A_i3mg3 z6rQ7LT;>c-_#`?n%A!me=+SIs!2UKxLVJv=JK)ohCc7L}58?3kTBp1$1l^#vdKMXK zP@txGPc)9^j$}x<(6>fx+7;i~jbg~K2jQ;GvAz~9UdmgmNof)bflbSdV=TC7b~v+(5HZ769Q-UJH#~?>%87W zL@-}iQ8U6&PYCy$^yOD{UJ%rwh+ZeK*}ygzZ)T^k$`&voEIUx@Yu?oK_T+FHd4cBf zI9(CgmRjfK2Q?{nE*DC1!gMLMDrDn#L&GRJ3pcm+>-AtT9trBH&^Y+O?{YLcW*$<6 zZbc?+20%`=Ev1=aJ)ol_1#j?<1Srt!smW$x^YB!%kV1k|=u;k?yHKhwjjA(36MaSJ zk>=&~po?;R7BE>K+mtEL}X16!SkG|N9?W(ve*7-YvK6a58bRdr2gmZX} zF+?gA2qpNL4M|Syz!dwto6!aBei(1%sG}2qCkZd)?=V!RfF^LwBtVPfwwdNv;1!W4 zj7%Z$B1Oac7fxV^Q)8xo3hexD>jhz1cnhq+=Tg^QX21JjPT%vBIo;;ToWAELbGprw84lj_qoEGE4d?dX z{iur;Z({=BEi(9TFI8$wq#scYu!$rXQ`wNsJ!TmoqClaAoxV^`v*M+2Km?EZphc&J zMk302H*oHEWOBc@Ozv3=le;NexP$D#H9Tb8i?}BD=;L}Uyyh*|VApM~-i!!R`L08; z4n8grd_EtOyCbU!DFW0uxfQ8-jnIl3Z;!NXfj0zS2R;#ucHV%WKTTSphm=rd-(7iv z0%=LfRxS~*=EZ8;wlQppjTCW51Ts{JRNkQ zA`LNoEp69gHFj1>A~*bdbDvwlLO0DKgAe_`Kaz>l^RPU$D~ICE?6{oFIZtZJdf8=w zt6t(k?}Bcs5`y0;ROw`M$i1K9;`0WtIajX06C_cvzw{Jt37Y3>MT4uv0zO8E<055@ zUg%&4h+2=@0cAI#&5aB@zBi@Ay&t?1pOVdd?Ded>mpeq1j04K3X*LMo2sVEtwKZk-+oPi2u41WpJ~^%>V6J;-(B3N&q z^F>VC&rjhw#zv`P0;>gMfk~etfNsTGDJM4*!4&=K{Hw#kpkY6f)f$#!h`3s7T%zrv z2rZVtPzNI94$*r~99T#l+9Q1QPDH(Wd%ewKbEfPW{QpC=;6?`#o!t*X;q)UA z%%;ma@@!G~=s5T3`1hqw<(;_!?fyOD=~0@d$d+I%kM^ArIv!52644u-ae!I}rp{8S zm~JB*4xN!n=c&uUv~SfqELq3ffmpAc`aRILt)Y~`ugXF(-(f}eKRjAX4{XxsG=`c z(UbfJOv*pk3+WjI$_TI`iE(?7)Qs41Ndr=fBi!hF(JMXhKYj}*jGHYD>CC; z!U8(AQnlqREXvx7`q7UTiy!?+1(`CXbBl5)x}TpG^ey8e%m+kA2sof?w(aRUK~{it za+#x)i0 zl%H?~h0ZQ#k4$&qOjfues)xe4@tw&c8b#Fi6Ok)d_eGcNwLe9b6nCubAN^>u_=iWj z<3+)G^vEcJ^Dm}vs$j<kbpA-2`_*>hIe5{W_^u zq3)(>tR~&%LW)!Ik2;xCdw8{=fKMRQJljRBwFSN7i<*XEMu9g+iYls>KI204>1G{t zqPjsazEwKTcu6OIV`MH)ZPMCgz9e`d@ElrMOqjG@35f9vtDDU|@xQk2ZII`xk2hiFG<5)%6Rk2EkGX6BO{}G&Tg!RB1__N6jm75#WC2 zd}^q8aTr%*dlYkOgizXQjjEP0Y)$=m%DU97(bjdrEutcXE^EpGN!gsQ&!6Fr^TP-J z8?g(ZUtimV;$^4be?28`Z$?1J7%Z6i>^dWA8)tvY~euRJ2eb;6P(Sssdt;`uhssf%em{}p^=vdP-XaVx*$s-h?yZxU$%`T;E>U|ou z`XpJ*ihRqVxuwbRmChd4E}0q%b!>II%?Dp&A@S5s8$SPr`nJFI!CR zeaSBKX^02s?8Z&nT~_g1qoJkCDLV?%Ya)DA0cqcv8G5nRVcD122+?>s&8V@AyRQS}*N!#cPc!k(5 z>ePW_p`@+K8>cW`s9_)-EnSa7ovP5ApN$F$6Q3_B#1|l~#B~$<-7qD^!&S z5hASf$!Z-NI>QbkX`T4}%3>Ui<1|Zjl}$G>wYr8Heey;(A_fQCk*Fufc7YL^%i=2f zBzl{|h6ok|Y~1kjG#+uY1RJb=ChqKG?rV%ohJJ|6eirsT?KO(1RlbVac}PP|RzS3i zs8y^HPc6U<{|6Wb7$S*uGWD9SJm_xBi^*kT37@9?;1y3gzR+v_rKHf}Md}$WFq<}%i|eeeEyKT3m5j-<3u+mG`y0or zYQe(c=Sy;g%!-&{ju77ipMv!qMRsMAvGv9-RCN+QL`p>)(g{5v1#+gf+g>NiTE7e> z#g!nDyV8)bj^o+PAuxR#TKM&EZafBRiO@)Ll z&cqAH1+gkgwOZqzPt{1-QiD}|d0L}Ki!o>HNa)hyoq$V9pzd9ME)M&g*uM?rDbDGZ z;;Kh3NCk_w=Fz4+>!ZjoIyV*O7+44k09}~z^eXchb}2G|Mqwps+ibR{r(5pnx8Q(d z$6$sO6*?pd4Oaeb24!i+al>p^Fy`TrcdyRxX%(7x^O2%okRpkwA?eMRi$ycLh}q)gR3#tkK{T|Pa;*YSO4PaIsc61vrO?p_NIF^tdKAZ;dUye ztLEXY@$*}NWym_Z-_gH2mBkIQc4UZhJz@8XhNfJc6^YI&6Vn|I%h4kGUS;atOyA+d zSe#a*v{2!fG#m_m9F;|u z?ZGNwytWnNO-S*0$IiKOjZC0v9#rObuQC8xK&HRy2YL$A4af;hlXRW$F-dL<)?=)- zBT+zDqNJ7-;hs?jicu!&7283H)A4LLF(OhtGcLTo$wxQW;-2~U5F)uG-Yq@-;t6Ff zC^$DM@?wF4kEVQ+))aCl9qn(D;|kFAnh4Z-42wVUVWWT;0vZmYogY)Nehg1fKIqY%e%PZs{Gdm7^g)mA_=6tZ$p<~U(+_uaqrqVCL62_8;HVFFe4`I~ zbo(Fl=ng*U(H(x!qdWSbM|b=|kM87y9^D7MTMR$w-D3Db?-j!jdaoGnM<4e14nFYl z9Y!DOZhQOWLC2!ttqOwQa^~7{CwS~Dw$Q+(aN5+aPgxZVvbK|Bx77q=brKhMhX}1b zW{_wv^5`>qZJo82W$rnghFyv@>pY09y}PBvt0txv$=2Nch2Oqm9AX1dK*~}DNwPIr zK}{fZ!qN;*ouI%YQC&QqLxDRv_Igu$77VN|(m*ngsh_X+D5*)TNsPp+#pV-sD*N&A z)MKU&rNq?y>F$(#VToiHx-|o>UmyfT6Dr835o3^#e|H~>%TweA?o&cmvW|W84XNoV z&nDrL`Wq^f>j;q&7eRp6O`iN>|T8Ltgv0zj@F`cW3Yh4$FY9 z8nvoSf}q7jqHQ$_IN>!Na~IGQB89Fq()(;RHYV%K^##_R0wFY1SLNKBo=vp!U<+o! z@gZqgs$e9@8=~;k3WG`2(nWvxBIj?6Sh)j={T+_QQ*f=}gl&e2CKC?Q@S<4G?b8#u zjf*%^qOI#?^xHM!ClqCh&_kCCS1oD#G@V7mQFK=18gw4mR!qS(ua=dm)KGjs95lB) zBuSRe(s9b{${uwJ>c;VG-9xf_56no`*q-j)l>EBd5Pvmb}`{TPIJcQ zIS<84TXJ?0X2+jyDL5*Xtgc^pgc6HWvA1b37=GQT3T2k3s!Q=?tDU2}>WZ;M-E@nx zylSX!H;uaAG=BL8EqRf6a&83K`t3TsLM+!xoT<>5@ZDsE%B~3@0_TXT$K2q~#fm4D zhHx%)g?Ujl^ZxTu{kZM$+aIn3plRHhDy9m&%y#SNKTsz0+A6Xetz%iBQpRak@uGtN zq~#NK>&u!#jwpd&EQl7?2$E_gOT`X291I50V$oClMAT^51mpfNizv4yT5lB7liUt39(!{8U9!E1{rLT(KS=42YKSKqI@u zuT}}CD(Ope-)ezw8i{K(obC^M{Z6AAo)S;uNb|eXL<%dRS%NHGEEnfDj((^Aq1DPh z8(xr2UnAB68UvSN7iMHO1IvZBzrR8=ce9RKX=;?U6%c3Rj?k4gD^uWNIV~2wevL4y zl$E`jcaWQRcSgU!*YHx>!rp&DKW?M5$N_dWk%nyhFA@xWY?h=6OH%oc8g1CwdA zvmcF%95!@XbSjdNEw+`1z{ zMD*QosB2K^>fx^GY&ewQEK{-KI58#!qAx<%fiFOK+0>XN^V$^Cx`kVNQTB(wmuJ>%CctpzGchKicZl+_WtoLj-A*DPa6E2>L3RV7cAgw}}v$nb_p|5T)VrsJ6Kl{M10K(C}EyfB1 zMIkS%3Gx?eWJ2#w& zlNoQ7FOzJHjy5bKuwcTH5q(Y-Nqw}#nfmuWT+ZEDO1rZ;+m+^+p!dVm1G4IG|JfgO zqa%qM$w&-a%mxV@F>@uMgR{OMPV|fOFU<)PW%S4e#*iV6rlsJE!v6K=!vVp zQX>OJ61EPdrbCrN&9drYRVxtQZMK}_8Ld_YD(4c4dY(p~M6(#oUFSz*(ubDw($DauX7enfNG3*}N!MHlpRq=v zqD{TP+V%Jf{AQ%}qRe|>C?w2zxoIrSZ~MC$Ox0;H=kH-KY*X0In&PfvIN}@N0-37C zpuWu?Y|^m0rvPNUp25}?jYiw*T(xqE`^KMR@&z1BZlsnN+fqpi)eH}@2+FWkOJ*1) zH^V^#wYdkl$!R^&YR$nsZHfZRT=%{zic8L1grvSx6YdBwN{5^ov~e&nih5Xv4LgX1 zKsWcYxZRGW9QUcJT{IE;$PDjFQK_4*~a)f8YE z5|zktf49!^z`d~9hc!zV9LFZ&J@!xGJ#96J{UL^S%pi+Q;EhkRb!9Ek;80-d zlh3cqQq30O@R69f!i69knIg4EZ=rr#q*D_03ez113Se6$&TPrzq6+FCf#awsTD3jGYqWV*5A@}?rsD#o3Z=FlJ2=x!axlQ^2)EOM-h+_9gdsYdR1 zOwsA4-ISbaxn@;xKGWDqltaUA)11`O+rN)Pl8>@8r-}}_g#&ecQ<0w6O)cdTPvU8U zHCyCExiTfSJ6cyxG)|HbX}k z%^)@rGf_)5hf7JDhQ5>xON3$7Ll2)AAoweJ0Y5+CpLYe7g9^hp%xg7DjOEkJ_DNMb z-U-a$e^gh;t^!KiUq3v5sBS3;(RvA11K1l+kcVbK^?h-^+AOtQCRqx`Dk7L-T;69w zVoEDkMe;1>nbS4HlAo@|1LCSs*EJ-N^fA0Cojlw>IEZ$R`nq;@g`vpgIxseKtYu_Q z=;nUoIvI#@RoCgFTBobPu=JspQN6RLb^P#TbQJ9j2Yt&Si!)=UJ~nS?@^H)WIHP^< zp`9L`fNh~47_2*Ni8W6)drtG%TIJ5Sd!ZxvT6lc7|BK?KHWrxHCgrUWS9~MmB;ky9 zHTpH?Iez^^+{AxPw%o6O7%-=(C8oFXOtkQ(=Ni=1hlQC!Z$>wPga+XU*bd-~AvRA7 z?2r{yyW84ogc~zS$!c!p)A%o@RKxTJ(OsY|f}p=C6?c!r+xf45xVkK&9puo%eGTrw zf}K{$WS)~bewi1OODye%)jZPYDt2JSnMCfiB*HX-Cwg~nIRr!BJ10p(FK&gKy~%X7 zDU`KS^*)v~y*g%VFoqV};e#2~_&rfIGd-GcjNo^X>iT=?TGOk=nQe@ZZww|sd-mw%%SVC( z>yBad2Am;b^L!mW#rI_p32Oz9>@j%+#vfsttZG7kN}1(9{irTf>{+><1+SBW!_&bD z*a(w3@{~m1Al+F>JQJO$Mq!|n`4skps)i3#zlX_*1)&^8vs{=U@$(A}E!(bD@r}eu z(PfGvx$u+_8n;0uw^7_!v@Lax->G~qZD!;uEA`ZPqAX@1pZcHBcBA%~Fj=jXs!*Z^ z=ZJBQqi+y{hCGMYjF-xgw#BGhQ?i{{FV^_4z4bBxy$aI0N!sW(VmC(uQJ^}*3C}!7 zQd~*ptu14_8hAI>6MA}f&uxfdfUz~sk||pFhdP7-i^7G7vg$8zf`RHt9khfZE^67} zV8G`g!k7}Aq-}y#E{VCNS9a5o$!c$Wvj_j@1sO;(tXIZg2#wty~BZ@EeWevzr8>a!I;)ugT2YuK=_UZ54=!pDNoXA5bUPy$4rDn8Y z6}!vCsA+~x95*$IjMNl0Q} z$_J68&yxx>^(Z1+wL<_UB^!SYnp$a58Jh7P*nlL7ia2mh8a8W*u;Ver3gZ4D!0g8Q za_LV~+;f|n;-j4#8<$1yPX@tBL`OR}X5spQwmLMj>!BLRi(4=B6WUcb$6uy1Hkb$B zwk8|+8}u>?KG3c)Z+)zl2v3erdu@`|o@pq#nuPcxS=O*_Ji;heSXacZRj_x_dU_dQ z#x3~{_Q+m8Tv+5A5txOr+=EoW(`INZj(WA4J)vPfC9ny@KnasUVh#ofQ#Do;X@dQW zJ9bBfQe0W$BM++WONYW{^95qUrr8Z~zm?EbHRq&@G(>1;`uWGr9=-6ZI)H~^Iqh-a zkbrvAGQJL`N*aCpS`^B4?t9_T%SfU^1FaDbXhyUjrx zA57rqt{xvA^c=JpCnh*2oK}v$j{vBoRn#qv0AHfN!YL!nh15<6&PlQ5N18HoS10fGHtBvQm5u3MZLASY8p@}x!Z(YLMJaoIF>#ES4a=(1zfq+Tx5>|G!SBAr) znvdr6{R9*jy_5$wt@$eUv!Q_Hf2|pQA_8~Ap($$RUrb@EHX(hE&L=93Jy-S3aZ1BCN1?d>rCRyHk-Xw!(qXW-0gp3 zeGf;SCFXSiT?L{A{~2j=h=#Cm!)2^C1k}3uKnZ>^j=?hgG4}L2DUn$>X6N{dV%!8= zz*8FY8oVR;X^q~Gdr@_>7#B?{Crj=u+WD~R9!a-5;SqVaQeY^pYQGga$1;*v@BQu2n7ZARKQ7}4zJam-&OulejdRf6$4Lk*Q)w$%A{_}pJB)eJV1JBBHB5uoaE zBP)#-F6vfxNQn-8O?IPuncA*(+_PL6OitBYf^L*bh=kY5z0t#`RzyUUTcxqtd{0Ac zZg@C~cAlnLHZBmI0n1ark-OQp3v=Xee(Z~UxTuhZqFWo*BNsJ?jbKf#CD-q4*o9C{ zW=|ErIk9caVnYV^MXC41MI28&5Zc7jJg9djim_fkd2$v2q&XjFCve&c+A+rQVuR`q zXgCh0+-(T^Biyuu{1I9t)fFPQTgaK)dp?OV;%#-Z@!t-dI>;ZS#_{Ux$rEQB zPI|wksBHvKqt6P(j~eBXX>0)(wM3C5n|QeMATUwbI)>Zx&E;rL&Dg!l(ayuAXs)x_ zRyoycv`Ka+c z5NJ)=#6;Jz#;o75cq}Yh*@oY^XYJVNP{)c-j|aUCaM0W8<0d+_*wXn4JtiE-EFM)7Fg@maX-I=K5S2NumRmD#wJvMjqPtny=YHe zU~Xi$7y?bE@1tXaQZEw9S@?zIOe<-1Wwx2K(zE$gLA;wnN^a6n$Mn>4PUfe{^Pa6s ziqM?7bXzS{l$T*}gUa+%tvs6gm9;VOl4xfVFIO?Laq0R})$=CqORD#4>9Lqh*2^11 z(nr;SQiyb$zIfN@+?m>B?%EqTQ{DT*lke8k?f=sn5EK@xmzi13%Ou&$k`-y<(w5=r zzq+nI?kt{Z_7;mw4^2^oWLFE9=xLdFIjmUcj@VS>WXZIctnsLo8uk+a3Qk{|4?vcq zo5pRt%3xit<5ZXMF4tux=ouWGfvHF{RGLjv^KlI?P{%(uN+M^a!a^Mcbzg~a- zgwY!0WHq?S<6=ziFT(wIMx%ZxT<>VoYk$3t4640*D|JtxuVpi9#Aq;#cF?ah5TzmR z@DkNwMCduDB+I7vC?O`*={G;@+rb_9@n{wzN~%iQ^JE+8?;2VP)SYgX!*ZHk-7N8> z?8c&chzx6HEm}mY!G@cnJhx^q2oq|Fh_UShFIG}qZHwBJgv?+@vbc2vZL4ZhpNvQJ zwue`#Gx@NhLCZq~f~w=_r55zoEfTdGM`L0tEfgV!3ijxE(gabai(t-t6LuLr+D)^` zY0+D-rRT!IfB&2&CGm4y7=8{f0_gfz{%7m(ax?|kjvfw2SXOajIEIEt)&nD8{YZFP z4L;_^2X`Ic{O(vy-v3iOe0Ut~oF3a}cIZB{B>q9&?qRWBwYim_l%brVAs) z#-+xHa!GSlG>U%|>y`dXZ=X2EU`R>af=|E1cha#SP-WUCNrPDWo1Q|BD)bdyjAGv~ z!7d7I^jsI(m}@BsoRJrT!+{limFw7MHb$@VVx`67WpGqI(3dZs@;RE1mrSoLgW03* zKBhacC>2I~cD76G0M*abH9PQQNg1C$hyHX&jwq^m=2*80&w-e? zZi_~9I1UxmTP=WEWu<5I!Ysl=(dKI-BjbPR#WfSSbH(ZJKg7XODVA^p^J{<6TGwbm6wQ&7EmPLH-& zvNvo8(C=0jBQ+~L5ectM2ftYKZB*Roxk+OAjG!I)2KUu+cf^}*5??lMwF|WS@vY-o z*qtgf>&n-y$hv=_iMmla*l|^;-FRGFQGPRm!$}hyz@yY&qBE(B4+48-5loczrl zLlADrtZl_McDyQxbnFtG_9~uEv!vgxZ=wVsj(V3Hz)<+hyEEc8>lHGnb7KD$|3PQa ze%M>YupQjwie!%e;KS;EX+e`<92L+*Q;j>)mIcb+((Reb1$9PBp3!;?HbWZIFhgZ@ zjl}>|Y=SfAFVf7xKq&Z((wqtaCfMn!3j2ok*)jTZ|OpSzq?;H^TgGDaCY-Ymfn0PLRJ(*zL`n=#^ z+e?o13%4);ySecZ)2ToTXif&|z%KgZ1dG~CA&xO!I7AX*iHV{U&xt}QzggJ%o@ixn zmq9}hhmyL}R4a)GSvJId+jcQ$Y_8*g+-*WWIVvsZw0-MN#)|QKp;AwS5eHxJ|SFPc(eP=l$!DHGp zWP?dLbB4lQ@p?p8`}hv-Sg_rsWQf4mGu|*5HICliBJO#kS;UsFTnr{O0Q|G05vYM+ zm)p~FJcJu?PaJ_<-#uyBvtC3KTYDHpcvO??hq5VfxV11n=mr`{sx+a}A zwlf6WC=8-$4joWinog?sQWK-?h6%$BkJRvZmwdo&U8$zhbPLe=oGvxc9D}v_hThUO zA~|2sKZ!rWW!KRHY#Js0Ek@zbmG0V?I^Rt{*!OZBjSyO8QX|$s-oPc>Nc$#<>wfzK zAJrzE4Y(+!N%aW*(kUHpN+8DiY0 z1DG1ve0N`;>l^$M&i?>!Nd2no`1D=fd%_)SAs7{u!;#3TlyVA`5OemW%gS$Kk{p^I)rd$?uo=-HC^_lb9Q%7R6PXw8M>_!v24AT@+L5 ztCbhL$)v^$Wfe}_h^p0kiqbn)(iXm%sZxAXs%mOVz&}%}c&e*^@lciQZSW&fkO}3p zC973LkIjmiadja0>j?+31WA>;AK65}FVMnS4ANl+QljSJv{|vPD0{$BG8XavHyDT` zO93nrM+iOW+vIE?X9ES#h96VWwwJ?{`0Du!oh{_)XA+CM(Ft<&lb#1hUDL_s7UQ9W zr0{=h1*EpVBI!W~Ckzz$|s7=suW&Aw!c@i>d628ka zr4nlUbUQtjg(8Ndwdp_aR7bsm;vKgFD)XxIZ|g~m3#*t+qru=%MO3eO1RcU7&js@7h6x%c51nHiZG zH6t@}M`X@fvtV)_q`O5_@P;-BZ9^Yv1m7AjEgXDNP{aliU*w1g`rwVDcGLJ^aw_Rgz5g zLbG-@zqgcIPMrw2zw5kMHxdvEbzhtm1;*}E zdhYZN4CDSXD!bG(ZS>nw-Ksr=W?k%Jng2^!*hLN^RHehm!jj#*Z&zsKuW=(T^QlL| z{gv97ft2YL6UvQaojiS2?%akA&=QAxgW8MwRgukHs25*fP;lwkgdV1F-LBIW zVmrO|pcR@dbAXV+(B|g`u$rQ|h2J|FYEwbSg)M>KCeKpxP~p!qtY<@NT&&o3SNRkO ze002y)@H25ORaJXuyUV#uijU&M`1MKE56bj94=ozzQLt|wN{WO4-#Z!32@PoYBc)L zxmGnvi4PLdC{avC7aj{R0zw&}MY07=QrK>H6UhHuN07_Yb3#zqX==|IT5X^jirsRKGU0!M+SG>8{OT4FiOEK@-jGKAZApH^W*j1g)ej|o`n0R0owx;f!` zba4UPmKVn#z+YoDm6N%28LH#aVyE^2%S!b$QxiR2OQJ(YusVl?Qu9*y%5(;;=~MGl zj`rw2|EpQMz!H8t;vBm0bW>jA;+kJ;K;%+z)jEC&_Hsdo+IQoG!Jwn$VR6MWUaF^YZ*a9(q9bZ)Ny7 zx2?DT@h5t}(YD@iqc@zW_zGdZYtWIH$QWJSB!E1<#5IR`Eh?Hyj;*5MM|vI}s{e~L zTcT!T^9AP&Go(+gF4Wp|K=t|ahp%7XfBo8(Hh&W0nFOCFo@N9uxWKksLbB1txyH6i zSk7Zc0{Ij~0Ww*1#Nl`VqsGbjx#P>-{$79|JggP0bL|S_s_a4fCy!FJ3qUS>D!9tG z;IylYDR*ZG|0o>bd?>Jme+2UHyVHHk9M!+`i7W7D<5aHXs6J<~gLW$w;6RVi8ll@W z>$csdjG#CJR|!IsxhZApqo+mL0Dz+<)q5mDcqRtWbAw&#MEHobiBF@?qAvy?DCFFn_Vm$H zn|`%#?nFttCN7!1;7)SNJ~zUhA{j=Lw4HN{j_Do?S`A1BZ*I&E#XF*@>J-(cn>s2= zq~el*-N#GttPo9BJl%4}BN3uy%F5rt>4W-|;mYQtXv>9b=F6S9Z2<^BI*il_WMTLi z5wxXUJFB#wmf$)sF4ZZi*kaTMfGS0f5JY~Amvqs`ckc_w_#;3&z$y@MnHd)Kkk9WI zyR(av`qP(FVx@DnX&*@Hz0R^6R9IixgCT#M_pcJ+aDD-c}2WUt88kT znCpB^XBg8vJvByO-K!-mQ}@o(5{yfSy39=&LvwBzIg#wc!wX6CWuV+5?IfV7YVK*~ zqgm&)M#Y>ZsV406rGi~I!2x(3U$NI0VAF&moSkw`#1 z03>d^6@r2~@)U0K^;)0r$5E-8YUcSbckz0Q1~BI5PgHfYG=G<>p_(u?bV*Oti6>*( zSdCk9yfPgX1J8yTwkBg9eMhBQjHbyDq5`u)TjWlSst4UxK29A9D_GPlfa(r4=eBK` zNZ=!+JHsYgxXub@WC`%{va-^x@>!CF>Q-Ne(70@caT{7IO4bXtM0N<6{v-X*IIpys|T()aH(407k?wnJvGu)%%%+&YaN|GK1+tKHW? zBRb)P+p;DgYK-avGSOI;M7$v?>KvF92eWDEL1@lB#)G_LSsix$V|WhUz38>`V%gBZ zLigdm!GR4600%!v#lUejW^h?(<+;2-o=apbZzNmj900C~Bh&_jF$Urak+x8p4RBo3 zbeYG3IZFKlvm?oc&w8K;+;9(3kN~3Q?}Gi_@peaD#D%?@P-6#laM^RMoO%auBf(t<}h>uOaipee|w zE#?Ego;v?5QUtX|_@vvwS+aoS&ps>@5BXo<KEi|7s(PgN%>%%4|u`5kz#GS z!IYZl7sqxqaVE>toBYjvZ`Y^=bmo&M2OdIGtxnPSoTSHfBM^f1^j2 zE`n;9qsom9pClQadFn~F{?@%(e;545USS8eWMibfGe|F(Q2vxYFbq!{@7HOQ_p1_s z?B)V%H?n-KDzhVpL%7~ak^QT9ODxzcMSA0pWv5yS+9tuKZLixcat>x_H{H`hOOdz<-V6@?Z(T z;%fZ(NZ-Ui!j~Q&50~)Kw7dSRukJs8E}=pi;*C~G3K5`PVY_f%kaQ%+yoD@GooQj8 z=NnnZjPxil@R2|Y0@>;%=Xg*qjwOmKAT1t1Nm|RI&hZa8dU9rB_ycf|Lu(&pxYEu^ zrF)gkQWIQ&qo7~kDuz#6Zu3p44LC?(e+$DXx#8u#NUu1pkh`0I(vYKB;O*+Z!+w33 z<4#Iso{uDA*_^F_J>$lLS@C}3*2Y&vp2(?P*cNL_{8I*KqMG$0FJR+XN3Wp)_kEfVm+lk!nRV$0c# zhqyHzeh4v4)28h@rWWB0N9}KWw9V8JFpi$a*%V<8;mpT_YPx&~F=$wROHPB-#g=Xs zWELHd@Pr_@JH)&hu#$WddSHC06Hsc*~)PW7C_}hQKfhou!E)5V=j)i?0gbX<> z+*KVb$NLNt2MbymA(o-YI|ARt>&qlTjHv2r;9seOi5iN17ImtisZ30UA)=L6HlYi? z;h;?eK*%Y56e=M`(R74?LVzF8aFDWl5vCNX;y1%pbQ4CPp9##_);H&H$Ua32_x2z7 z^iCi-&pCZZKpgO6+~mb&G&-%r#I?fVG#*}8Q56x|7YOH~?YOBH9oG9nkZ~PBaqbcw z0>xEiud5BvNI@`-wN7E;$}fE$nfDfWI)+3UNE)=`nd>P%fGS+KG^B2h`VM#J@^a=Mfcx-(#g3U z^f3FWJF3khwpnZ)QbB~77AV))6cGW%HW4Yv_^gaxJHvCVH)eBKt49H_s$!qFM43$G zDxp{<5Y2_9u?Myi$KS4*snT*ON>u;yUzgm?d5=QW4OY<@p>*hVp|5;7+Q9T#XdQ zO^)D^OjWDCb5Txh#AGxwzg!$^y96z^ymT|h&yJ%a-E2~f&Ljow$EzG{LHL4T zE+kjr%m=q*aRt#Si@w zM<)~>-K{u=m0*GD=cQW4;%HjD1HPKnSXuC?@T7?`+AXY6q)z5})96l&W`UR~90bd% z9gZ*2qkDUXQ3~P3P{}Kp@dP#&IRvn0SvvK%s1(KCDl_l7nNRHz&c-$UZS* zH{7RI`;6W^ZC!>fkt&tP(HnJXp_Ux5HM>`)tH8Vucvidh#wSc+o`XI?ec|k>Eb@7h zNAp+;jOyuV6Nkb1uH{l2VK&St%*PErgcvUb?A3S{6$1+rsrf=WQHHph$Wzrtcr^JB z?n$Yj7Z!|*1aUgC)8OwL6fHh?us?cE3G9!7(ELcylqK(=h#zS<^(4Q}e3nHMsfCN? zTyFybgxeE&3O1`hi&wec3+dc9&6Sk}HGBoa9r!N?|0gXRPm8XazTw#v=tWFd(b5#H zLtJV?7dPT}P(g$7>6%o!A}bo8s>~RTQE3pDWDEzWVFn0-EURFkzH#wSTK+aEaLEL> zIa`aSiw~^LTN|AR-65_Dm1o`e79FeyIo?IB|6Cp4!Dk_0#e{NzOx&HzQi`c+^cX5E z#(>6TVh>uMIImQ9^avE>$t?h1k6+`OC7FGiE=F7L(lxg%J!vAVFfhJ@Mc?i`S8&3dp zsPjR-e*H~!etI}E)&oQ2S? ze6tTepKf#Efj|Bb4}1qALG8EWk=XBD_pEch$4tRhVnOR&x0LN}@=&v1Fk_0r;}1?; zZ#dQ8{%w*X%Oi^E2o#d|-pM8{VZp01N5Ty-gn==dm|p8xu02dCR_EqLwp1sOSZ)sG zo|SjNW^e-5WO_o`2Wz#i$2J7jbJb%t2zzT4zu@5b`#A6?d9ju`bdwa~ks4F?(t9U( zr9O?y!GVax*x(SIn$az3V01^CGijs~@F&R>he`%9-e|Q6>ta5C8S#y{g7M9XTy>3~ z`Z4lP`TprFnL}#Mu1uU7`Z>$NVNUVDsSzIu7j4pu&n~D>=g9=fZp;F;KvbnV8C@~P z=n*Q1&?My`H(&LZBn^hNt0%UvvP6<5it(o$MPooysQRO^fb24_ZM@U1JXBPQ*0>ON|l~t)h zjl8(Rcmp21{tgaQ-jgh{3U(|LigCC;YoZPsQAub^lmazuw!~!GrdjVCrW~3~E5hfD zzcvC>wXUfHzgv{cS-B$;s~$FTrKax8xW}N+*64hy*I-nu)GXgkAfJkFkNULWxh4ae z;pl94CjfTD0;PXtuHCtK(tiq+P4cvN zEco{CZBf86poP{$fF5FM^FPw;ZHNM>QBLC^9o$MxxG7`6uRhAy0Svf8e}??9hF#eq zGN;qxeJ!I9GlXqG)sg1SekQ93mFy{q?_YKdE_Vu5Jfc4s9lq*f`9HhoH7NC$dKAwQoMNwPK(FJ zAIbfMR!-rtf=?Ympc*k8SH(z}N5FZm7gNGh7*?q=CN-IVuA&OeoR$KTAIOT6p)O}~ zO39xJ_`bYM)j3YtsfZCK!p4HnrhC$btJ}skDq3~gx zpGN%=aZ29)i!5r??#VI&9wZ<~g`JJf0(Uls>^y!(->fFKb_u;n4#8I zIU0i@?^TI64?dn7twC+NqZh5gwe^vlXPw&oxiu%_-FBJ#0-U|*M^R7fTU@22JlS8R zSq4$ws^9k8*XAxHNy7W8NlH8^>ZTz*b{7|(xm`7+){#d%Qcu7S|GneMd#+aQ3pC`< zdq(ZgGGWii%mK4SO^7frGXyk{9)N+DdL+(?T|yVOE#fIb;C6*t*&AKFw_oG7aFu7O z!swyeA4?)M`6>N^e4p?elj&)P0f7}m07)w9AwD!hbtv`6SdfmMKO7;)?ASUXx%$)d z1G>G8Mu)%HK`!lxjSOl7eizu#VzzX?aXF~yipj83>p6uT^zdGrBx?wi*1;dK6q7kg`7mM) z(aDa)Jz`%t;E}f(lP~;i$rNQafj}Mh2#RJKJH06p^Y$P7v>O-FuT~DFMkJv@0^N9T zNB6-EeP9m(4PxjYgC_|hGkf;T4#Gov$=tQbPomSPLj!)g(wGUkTLR(mP<&)`Fzk<#gUECj?tMkp# z*y$c+7l{5julA36!0Dh5UIMklvC|^>gNWwHtjM~6_UK3*1{P`yQayA=d0hWzM+QY? zLW3EU%;eHtaVz`)w!$6?YV>LN+ZV_Kr#j)(9JbYP(2v^7Bf8vireH@1CgVUK`~X(L zud)yBuCx~Diw_Z!`Y3FRew$cqg|m2G`58Qs=Z0u(fjEsLGMy8d2%hytz+}Eqt3^`oHjsoM;?MRMoovINo?J^YhMe$}A5{_I5iSx- zVT~PYe0Ok2e)AaL1oDjl9f;|slAvRi!pQHh(gEIgnP$0m+g+}NB5`k(;xFpMP6v_s z$6`C^HKal5EEGx+f%HX8CefOxIIFMu5U86d+?Sk&1j$Of4V_e1@jGQTZj1o)cKV_9 zsvdIdji3nem7U zQBW2V)BaJN++$vbT%TX!!S?H~dsS^M8hDxd4|WvjW>10B!{z9IBwX#Y1bi}8bv!MT zWj-Idn&G8~`FsxPshs*rHx{|-&B1{mE9G7j@8|?gD@y{^jZ0Gvz)Wn#7g4+^(o7%Y z^4*pNQGx-`sSCoTnzngg$-H35Ud3Fz`N&gDIh*N_ARVm%n)zwzS44UrrI$-oa* z;)2@(F@<~`M_(nyG}rX^OUrUt($}-I>M~uWmpOf>VRTvSRx6)>;5oKiLPZ`*avy_S z3Bo}<%!xn8dXH4CUx4N*whAV{dKB-bw;W)`vY`ghRE%k&#$J5sa|#jcr4Ro(uQJ7c z!x00X7KFuec>!E26(BC$B&S~^0EX^d$t(wgbLi5k9}N%Hp#nVONRqPpAjwk7cm9Ag z+uhC2hmF?O{phzTRH?S5(b@gc3B+2?+_T7;*8Nmh9pO)P=SPw`?cP5h-89{!e@6G! z_Srx4x@Tm%XXJLz*;$J)>fO(2I*DV)Yga`PwR9v=ai@5mWD{gXiXIm!$XVf5rh}Hh z63-WWOjv&Wq|iuE{alhrWK4SE`2RqTj0G%f!=&dYE$jRgI56JoA8W7(_%!AB_$V zt^MgFzcTU+%n&P1c=%fyqE*D#H7$orO>M_Vn;MS=RGN>EePH`fO#3qkV1?U{sNDMI zKpT$Ep$({Xcjm*x}A1&#dJxzpIAwV1h@Z&U`qFL{ktx*-e{U0j*P2g+M(}88- zBjwxH;(T5kLwGy_dGoWAeWB>xcrL#Tb6nPNSysN5;55XD_Rl~kr4q<~79EdCEyX!m zTh_|hp4*Pc!_nd1pH`koDqlFd*Pv_{F|Uzk_-&i`p1^_eACka9Q72fO>m()&E^xm9 z;1%`U!HA9+IJJanu`)pac_z0cVvyRxg>)&#gPgthiOC*KVsqiaWRQ! zIdZK|$^Ghzd>R#xFfd~@It1`EI2@O|Vg?Q%4sul@2hGNYg=_qNE!Ay^Yq+}lci_17 z=t4Q>eeyxnwlXWg>tvWCW&SQiVk=jA=M9|zf%QmMIBcymu7SPwb6!3u{8TblLQ_K2 zP|co`<9Kv5XrQ~D77+RQ_&m2+k|IL|xUEmS^4$7mvm|MlJEFpLOB}Z?R2C;-B%NTM z`0avpd5id(-57>h2uOqq&!9w4S?T9zBI5%Jb^9p?nkru}t_bRl%>66?B0(x|cWNPM zEeEK%GyyL@5h%$VM_+@>bZ%<}zpJPw^el~N+l;4TgrmOI7V-vxdp=$33?N*?dV=B1 zEB5wZ{}X^+_2z64nmIbYKN=fgrrb(BPZ#aY?BF^bM4uT<#w;z_AsU`K7pH?i33%2{ zy*0Y8jMg8tx6V!j0IyCF0-O68j1L&*x7Gl`-9Ta3;ATHcW4xe_5r**hPk0A)Wo*V{ zib<=3(+P?N+&(AH9bpXx8NFtKb5jKt8?U$a0Py-c1;5s81w4w|g4XvUS)l8TZXJlv zGlS7q(uZT1o!WH3^zRc!WI$2dcj-#4Xje%=xygKwZDqIgFtzC+Z{m6Z3>>0@XY`XT z5B4X#xes!s$!w7fTsfzGveKH#v!DwMF(hboXnX_^ttXBPJT9i3O|dBAE8xwtd>N!7 zxu%CxFGF6}g9P`QA=wzj1_q`q#UO`q0(2mGTHqbfF*2(SdjB_X{{RQnw`+KA_Aolc zO~^WG)GTqx;#*Vm&kmv^wU7)dUP|dreDhP|u{8b&@_D*24SmzkX@dTaof-PdSf`qx z6VOlK*bwh8N(2-}KC#(7Xbklf1s<|2UMvm4iS}PMRAfA$d(;I-5h5DNR;I3CKGu_u zL8oL)M`5)i?H!Eeorq%|M)PD+?BF0LGPS_tiJYY%cPV@t>52`>3({6TBn(3ew3l!;6)y z!F!79izaxK5QupFHf}2PE4U%*2c(SAelyh$+G@f>k;sVmmUDp1lq{L3Z*}#~uti4i ztU_Pd8?eVe*NjP}8^YDCsaS%mTA4~>={`7Rm*@8IazDsz0NqxR1@YOiCH z08|aVXe*mp{Rbv`n83J^cm?!`57`fH&$fp`@oq1X!7Eht5aY z1PBb9>7v*K!~?M?nY7qsf`}GlDAwwIHQ6e(iimW{|B*B8D*nqM-Edmxop@uJZZNad z80KJmes+p%6~{*EHz`(8RpZNX-b6;n{*^~><28E3Mi*y#I**J-wXu+_W;GGZ%3-NY zblUxyxo8E7LS~RaD6Zlv)8&bFJc!QW`;Q)+OCnW#+?oMRQGH`Q>SS2oc(l&Hy$r}@ zKD|tCDqy;bmMrh%u1*(;9ZZs<#^k9aDLRHiAScS0k|By#*?x#=p?e`<7?Q=!4_g=U zZWh1&V2Oo_FlfM_U>nVv5yCVa<``aCB|4z))31PCOvVt}hyVG#V0x;}V}_os!IXIN zi4Ygz++xbIXIOX@WgVaru&%q|a#NbjtSyH5C$UnPe-FN`< zn7CKiEM>iB%E(F7T#qv~qt#q1)EEb9?zQ%iYIV#P9W^m4fU#1h7UCU&BdV87%RLaz zvU>93DQm8#ptQb?o?>}0oYt(y$}}|koT|q|#I1R$s}-nIu9EKCw>faa+b(gGvtRc$oB`{y-yG{9vErdG8C zzOWa*P=@#eej5!Yb))~xBAo3?Q>X7LU&-Rt6v>p8sSKsvmi$A-&ab03%tO!g)gSQ1 z|6Tmz&H=P>D=K!2$xSE$x=In^=27#x(-X_}PQEg(tnoSfB@jM&^5FUN2N3kHA;+ji zN}%#qAm6ecLBU0o<^)E{6~?mlV%>$!Os}MmgR_f%>K#NLsmFilcp<*)=ynK& zIkl-$lWb`b=4TF{q{dUC*8#UjRmNyMTtcI#svj?PNw{`Ddj8<$bF*>fg3{>p;n88V zSp_Vh7q#v)*wiLBgud_563H^;D43!SPxMwW7mlH)ymZ{S^Z{((sn z=R^drAG7EfHKPu-CMa5HDSeNhq9-H()A3v)t=^#ZJOe8x-gHpwSz~kyYrsc7*UGLv z{AbTImmagz1wTN*^WwW(d@~7N9=Daha4(dk7a*$n83kYAC&{2OE-`~D z_!2fWby=JwQlUrGzRjH>Ss6@B}Y zp&+In;s@zg)we$}56H@H|2l4Wel%8l7c1KCy32DL(n9*wW@x?TKJ~ZJ3je8B5KL}E zzZyANgpMOIK$B`7U8ajA;I;gh+yJvit9t#OuUg6V(7|AWQx*-T&^|TYzQPp*&rlVi z+3R$*GAAsb)Zg$k8KfG^1VCtwc4Fi59~~Y>t7u*%s{3w0tIS53;Mx$Mx7YDlP?Kt4 zWLOPiC&Zh@wwSMFkfEF`=>%g+0XBKLQ|Fvy20~nvoP?6Hw3fp9id8wQse=K*$S2m*bb#;^?GS{nrhG}%EcN6{3zT7z zz6!B4FoOfoGp&iniCjX0%i2-0DltdocKm5T&1)LOCdvRSniTcYUOEuY-4`42B{X7+ z9sE7q@orn!r=q^D9c$d;$B-9zer~h7xTIS6ij1*ZP_P~p2RaZ>n1Qd~JgqWcO_O4A zGgRi#Hcv}%uNO4ww)5!ZQ2pQj6ivL>)42vvp$%qvZas?AxY&StR?2i~tTq-* zpLPYwTCJ_H_*hV<3>=&xR)?vGC_`*39vUR*C?&?;X(&+Sqsth+VJ61s20h*Tr(? zv`C55_$`mCUOPhKqItt2UsD5+D@AZjgVt!>5n1@ZT8EK#Px*)s&q-xKS%{pnoe%;u*YpBc!xB_05c$&!Xe|r$@(5TJLA{lew4j8~A8c zq}amOT44-+s6auwyfyY<#_t>I-RwjAwMAKl3+>wE+rL>KLnf2Y_e;DiQr3$3GA;6T zESK!1T2XScz=X%xewTDTSKCt3BmPO%zuO_j+kiVIF3hecve-biI?`}z?OsI;M?Mdl zxT;AIG)0Iw=Q66dhxk%i!XgdN4)nCGzKoSfx35(si?#WZrHG~!>M}}5=!RjW+uu*| zM{iCVVQx1Tb##8wLj}^9)&`9Uay3dTC*5Vh=^pbB!UdhI!SaMYkDVwNi`ZV;KrF%m{4T>EtMNP82O@aL zDK#f282rEej6_l;6rwh_CXNfa;J4kbN zX<{KoY%&h2X|@8u>)PY(z{wgyetc9kBDem@QA8o=2|q~!o*)hZ)h0m;I=VQ5pHJAc zc>CA()6@;-`Qc~TQ$aVV*V|&8v}ovB(%4opU0*@B#x!a7SA`x8t#qj)?mEi=d;rX%lwjsJ4$dp5$PIQCu!{uwIVpO-g3Y=zS zt|B_x<_L}7rz$(+_2b@KH&qH#seq&=HJ~SNlj*jlR&7I==WGMIRJTEL)|8`zkMO(& zwV2=aYnALeP>)V_5US8{q6B_Qh;1M=U_fNi8*`I*Lh}Rt(bsTHSG#c3cjQB{#-3 zEE*8D1HXN(zC)(YXQk$RT~{-6Wdrbr%DKQEgdxr44MZ|AfLG)B*(5|glCLnT%mSOv zPE83ToTcI-EvOAbziXDj2iTI+VS`Ir3wz7>@HFZpJJ_HH9io~FKXH8r>UW!4Vs%xq zhjG1MNz)gzC5FT#FFrzt9>4v68q=Q~Hj<`XD7C|nY0;J$MxneXL6Srplb;49hA-P} zb?Hv8xyCKXc)6QLMtECNJe+T)-`yzyt!?WJG9kcG{h8N}H zoEZ%`-rwK=bN#D2{9S+iE7jtgA$eakAMyR#CBq{<7z!ZAo!kQ(c0H%YWR+$qBvwRM zsakWlnt=?we*s(>{w&+ib7i zI@kSTy-)lhVE0nPM(kj~U#Q1U;BDONm4LD_{u~$|y-n*d=^gi6e)MWb(jNA4Ydta9 z9)JJ~zB59@XpSZyyZVcsCWkJOZ_7jrTn0pO^#|(p?zl!%pEF+Dg*jJo0UKI>v$eV? zc)2cH)l{T2R82g!u`;Sbt!n=)ZsywpkU!LybT$kMA{z@0ZwKlZ%pGcsx=_hAIW$f| z*2k_k`>QyM(a6lIK1az04I3;RS%DHjkXJF}Ewa}!{Da2U%iS8$jDeJlufBTt{CU(L z9}5s4qc;n+9ID>HwqoZeW^-(m-`2*Rw@_u4E@GbG0V zNT50ll)XWdGk{E|8et8s6P5xTPQQY+grNhyiw%|C{?E*+CnJs4VAT8NNbfjS?neZT zf)IM5G=YZE=T75ZT`bO3kh zc%d`20+Xcx8#(Er_8&MdRjV-L@%G-m`ejora2le~;M?9~p>$HB;BzJG1^DhkK2i<) zLI)2_Iy@h7nKe;|KMXrWyiolQd9`_ovZKA~!n$n+ecWk5Wzb=GtuzPD(ZkW`{^8+C zPp-HlMhixC&Btf7udd6RSrP9twY=PQeU)qKe@YZXYDgEgIY_HqecI{GlrflrEfiyI zY+>3DZ1Uj?A53T|*a<>8gku=vkd<+GYVuk_Vl6L$AxrH-jt@dj>2~-*pPx~^qqFu0e#*XD zM%QKLKoFp8VBvvhk(LgmqAJc&7`UA0M;-IaT}~KcWZf#k6?rA|9n{c%AJ6Bi`&Ho! zAW~jOg8=zrC5Dq`E2A#cPJOBw_5wO=`cecgnL;z!cI(dDzf>7Y;UIp#o)$=cAFuPI zmcYG6`W5p8B;O%11sm(3d7LFHbe6qVM%YrB zJw=|SYwbG1CaKd_o(Ds->JT<%FL4A}cIkG9W69Srx9gzq`Vu5?MxmEjFUd(B(lF@2 zU+}FhRyFmzw1mwVva6meqpq}Q2a)Pp*CM<)(>VA2+Cvk2nHJsZpgZ@i;`V=OO#FU~ zq{`PxoT<+X*=J>?I58e2k)C-2$!8}sTPuWi$PJ}mpjxpdPD{a4jT*es*K>YM?<6Qgx@|ylK02fN|$%fwlYY(_s7=CkILn@|64TW-~4Af24<&{ z!4O%a4he-WKQJh99;R?R7qJOUA`gY*L}aL95_)moR<1!bcDYC5s&G#enQIl$R2SCb zpecraU@_2Sq=Cc?H~fGK_c#&+UWPbPJ@w?Xv*@$vY^?t0^c?;=1d5yUGZTF4KoMv@ zb%-L+jgHYpH_r)=c9~ z3ZG_@Un>i_H)zaMxF(*zj%;)2Uso3ME{u4@-I)XHoeB&pkb5~!q#v%AjYoDOmX#O4 z1&G2Ds@uNsZ?)-GrHMP-{#*B|p-oo%; ziJl#c3&_`e&@&>NKY5A@n{F)GVO^!nh8P4$(gYeH7J7|9ud#Db3H^Cob z)otq-U~@&1UdE9+ouqL6at9~t7-H$@1^Y)o^~okbn&4nngvvdpJc&)n1?oJAj0mBS zA5=>;U>YH)tP>qB)9IyJ_o^`>V*JB1f4%lq%%Lhl9l;I)Bjfb&u!b+9l}NJ*x-W#Q zB#9P?_>dab2rxg(g2fUh@rCpQ`mExJNZ_Br0!H)JNIK?%C zPBVV*!bf#E8mdGTZwxJGI1f0$N70xMu@Ai_U@Z&-xg8!&=~932NgWAW?8&Z&RAE+i zxwAy{I6id}2T_9vj#bGOW=RjoBf*?WBk zXjJaBHm2KCP18Y44|>V;@r80Vbr5Cr`uP+|6zrtE&I@%)1>NaiD$|rQ@^OLtLt-3a zYAq=OV2{9*3u~&0rJy%a`CBJah^#-JXAYH7&?&SStWC%t_ym1Vq)#Ll_C-0_vA6>HUCO0Rtm| z(+ubWY3S`%Q!w(b_M}i9kK?9dbQz8%cnjan(FecT5 zlX>haVBxY3_f73>pGQ3me5o@?ne^1Go5KVHCORSb3cQ~>LtZ^V8#Q1lP^t-b0@YH8 z)h%;e0?2}))pVuIP&njZEnsM&DJ9d7m&&?wL!cs9_nxWeOCG0IKjBiWSfWp?vu+gbXLMt@Hv+pCcpk zqh?Xq*Iw1KvwD5TPgC97En7^$hVcZL<>`uBVtA~uGEYon^O`rsNjsn>IRfeVXtRDqW)sn8I8_QPIt~`$9nKOr*|s2zMa&E~Nh8S;nP& z!{xxVSgjXoIh*Q~D-4w(L6Q26c#CHVWJK9KGNjZstRiW=fLx`y+8_}pGE3tX1PC=t zG338FTNkD|7)Ii4GF=jhgQ}SGt$^SnORe+9sgO6>t0cQ2Pxl6a4^Z_o&mbXVg;Kxj zZ*T<7G+nGix>VhU@p2dnrKzV$VNUAlKnKT*+A#%BmUe}6KLaHOs*PeQl3LY@p3!d( ze{sB}Ji?mcXdp4hoAvk+db9q==Hb$5z0(~(J{*m8Sn$f7s!iBPK02GDJ(tGGjC3`e zDvSOWx}j5OX}u{kBLaaK!N_&t@Z>}vw6Sghf>B9@ndWQub3R}+(i)d8&r-%C{O2~w zf$pVrz_;qVg|kkN)S(QL{vfJ1r2i(s1UFQt>QW!|z-UrtkpYG1^MP1edvu^scSVkq zr{eSob(Rh?u<^}`?>b~yCaaWoh|-*@leKnJRr9ZPa~%IwDpN>yo4rGY!6xb-(f+|D z@lye^bCa?_$&b-raW>hlqB;ygsP?z9vQc{apaQ~LUc&hIyxw|6*B?&9a~I=7Qb5dP zqEW#d?{8=^oq+=Ra|Z$C^#kn}eDwP9*I!5F&1#ZolIoApN!f0qssx*BdIbL)AEWZR z+NGie!a3e5LsE|o?cihyQsD4oTSCwhI^AT0+)r@JP_|>1$1}`E(36QusL!n>C8doX zu`Y^Z3R6rL3uCsYnq$w;hMy6LbqhmtS~7-bLOIWH#1(JBJ{7zSKZo`Ud{guiwU0J8 z@f?e7&XVHumTE42-EFZ$$Jgz5l~a|c2!fn&yA=p?s%0i?CbNRQN{1Z?ivnt&*rq=R z6T?+a^b;yQD4RidI=OJz7V(UXcjDpQqc|=gfo8JX`X;wiDBe-gCgFDiN>XxJevi%_ z&oK`(XmoLA)6O<_*9z8*Ka!*Z1-iroU{R_U+^;DPKciI9lfT(q4(;fLj#NJt;G?>! z5;W;1;V^Ky1hG7}S8O*Vi@02-%BCY<_wBz)dY@WVPgRhwZ&ntxWYx{djb5@|v@*~% zA%(^@_37C`o6sAFs{(cL6;!^o6?*k_(~*PX*R#fVNl9pUO|DffXrf+&o*M+SzT{F2 zOYJl85wmnD&lT~4l@E>ZAxBm`700fVdk1}6J>Mhpl_93ZjtRO7_*N3Fw)|OE)W!@h~OB{a4 zY55iWsZY^Uog6c(xad~XRnObYIc!7V5Xi5zBSB4h8=ji=k>SyiKRuxAa6(Z!Kw;sa%nuzwipz{?s$0M26H(l$vPdQZ8624%(}iD+V< zvK_vlKI38nxMe(Z&{`P5lih19215{BCKF}d(J7G$imw2g!~>jM{|LlzoFY)9Zn5(* z)q75G8gM#^zz_vgt)C+dkqxgbC)NVE;#i$;j@yt+Z^)EQu8WBK&k_NXYhT_z# zOT=`a3p$YH;3*nP8py6N0WdY(Fi}dzA3e2>DS9o88^4qLJWQBYSxro6z;XLKL1BB3 z`UH=5khPV8|FGC)2wUNJCpFjGNl}dEK4t%?)qN{6zm4$cRwVf$_9``5X-<}go4nAT z4jx~}H?{p`10=rsOlzN+avS>0-t#A`&%$apl(7&Lut_^>i-0)fY;T!VmbBSVw@0p* z?uH{cEiR&Xw@_b3?K7t&z4q5|i7bti9$6C$KfQaAG@I~E(dAOD2b|aP)Hfrw#}jC6 z`MyEJ(ZP`lc(N;8Gtwg80&aVcg_+DPP-9w4bIS-Ls^5p20DqOJm$9k8Q2(G?4c$<( z8v3zrV>LcM;)*R}aM+OFl!WA0o&3(jSO>x#ao~-gIjF72z!eVX?Z^Vu{;1&S; zwR5lDr@qS75gaOfB~a~{D(0yrYTy#?pn6y5_(WyuY?cN1dkrx^29&vGHFKS$bk6z) z*aJonII-HeOw7vuU?1%&rc4o7muieM>lrEm=0z5YW~xHf z?ESE7s}UbhAi4oa9DRRt5Ko2x)FyVhW{}?PZ?+#loik!wJxB%ODm6z>^Rr=4>~wM&66EL+A1q-$)|#KglM zAFgJJI_o5^fISzhhKznf+gYV!WD%eU2}ak>g*EWZXhtlmflca6ovrq5gMLIeB5~?M zAXBI+Km`)t(52Uo{*Q4aj=b$$?+c1f(Z@C9e}Uemy5g+Z@3 z?(BvNa6$(EOyjXYit3sX>ZalZV8SbrMkP)GFY1l{T53SE5~0xToq@l{pn2d~?JvSc zdIL+LHO^mD!fv&8_z<3>OxUSB&}oQpnhfgD#h%ID3H$4)tXWDxVc&omy>E zqg5}IejmRvr<$MBgTE8~Om*q^JrP@&KVZN13=TVnaPqa9#URzlb*4Z&btgg%9q}+j6%m_99)mTNRxcQ?SoI({J{f zPn2?pns5JXWz=w*A0^)SN|^hP9WJgGz+%}=l>OZS$r4l;aN58ywuI;$V-NXB|e-1a*;bbA!6@H&#C1sUQ2Wx zANtU7yGmy>IuqLNt(CJF6RqQ9OqoT&CPBrvdi>9EziCFm3G#h#U#f9h^tTekG@Ouz7oX*41vO4LQVA_dTwmJMSXZy*c0Uc@j!RV*L$I9jSsuweM4 z3Z0-HRW+7$0!H5y8|02}82wh{I}RQ|W${2h5Kj?Ik0-P?`$MFqUZ&eseAz^4>ttbz zl+-^GiqhE?{#$c750$BRnq$rac>LbWFQsX%Vh(nh# zgo``40!ked!$*zBN)L4?Sj~_1ClWb~hh7OC4xf|{BAS9Aajxd}se5vM67ud;;<`^@ zDgR#LRKC$tz{j|}UF>tF7Qs3jh{w075Qs#5AQ1U66NhB*C+0&}k{w-6n(OH3Y&bgV zei*Dd1m6B>Uk09z>URmc=eSY~y^kyx$l1PsV4bJ#8&BrMKbnW_E9L`v_W3{OnVN;nbSq+H{9h zeD%T(W%QR0Q#21EB7_n#>V4$gU;KItx&H;5MRijfPGEj~0gipN*~A${zac(^VarBI z(>)cRr!1h|lq<1YCu(fvH#8W8ds{UfX#N3NCOE29Q-<)9s1jZWM67H%wHp|g81;Wk zGl{5!3E+-#X(PZtWJj4(^?JQSC1L+I%6+tFw9s2tRJN%D0jqM;@}A<|vJ|(WNut(N zzD6Y|J1yz>nyw&uSb?10L2a5ar}C9Lr+}kACm2CmUiy%wA^r-}6!SMzisGZK_+Na| zt|7~-8bL&Ak>faDD^&hL{&!@Ccb|syuoAC^`lW`* z1YCN4YGt)@?-g7XzIxYAfaU+=NIu+7?p5OguhdXfc0lsZpc`F%0Y~{%?q$|$5?&2- zH5d+8VS%V752JaUmT`6yX$3aB3bP5U{b-M};Zwf1!no_xb7e?|u$&>`UwgUV(XDO8 z0$-X}7W}j}CAJk%pUcJtaNMHP`{|Cuu)LoT2nTMPqjblv>sE4?&b!U;`Nzx3*45!~ z`AD5sfsrQZKQCG1M(l>3Ym0+&Dh7lUshr= zxAYJQXqV4bW-gKMZ0?oU<`O{NUG4N+r3s$HYxf;_kBol=>NA|}>ok*$?C+BzS6^>~ zo^8o|O@Zod>Qrc>zSiOe$(G^h@FNh|!nbP@17`-daSI=|If6qjT{yJuU@JIsK=nPu zv-h0Y$fEvLdEeuN_0QuHAa)RGzkvM(961Ylw%$_h{Pfnc9tQs zmv#pNPJ!MBrz5Q$Ot{--zK0*JiGt7KD`f*_iE8YT34mj}ie!Sk_OfMyMSvQI^3@j7 zg=}5)ShYQTg%3OJ?LiH3saH)N_9_#LXf#;qWovI54Lj3ney+Jg^-Ya00A9_g$S2A~ zg2nUPf(m#Asv^~$bOD54RBATQaOGmkd;C`vdeE);)3I@g z2bl5#v3Z%p@63EK1&7R;Cvv`q(HObZZ%3T~ShWiRVyzC_*%;kCLtzhBXcqNK;4!}h zAXmRDAy>Z}fLtB5a4lNgi)c_&5=4VLzLr*zW)@~kM6`SnN(M*!hY>B-g00?&94iJ~ z@les(D8I{C4&9aT&t6zD!0A%Lc>dP`Rl$md;YbVCsL6GRv3Hgoge4wq1W#;G1`BId z2W-i}UE^mye=1ATOf{OUqX0XfuHd z)lrXtcJ^RE6qiz#}It)}~48;9LSP>iJ1gI|g-S zyps#}nsat>dXD0UVJo~UG*hctFAm^WDXbM~KtI0W6V|i<*GPH1`p2EkGK2!11yG;{ zAs;}38eB~>3!BdqAk8oy0#hW2`{=I{0x82f|3wi)Dr&LAmHr#975{A)^%KEKtZ|jn zyOlW@%MRd5qfnxTce+L{RCO*HMkj+{cmKN#6VyWkn@ker z!=vM>X~l;JI#2J9d^`nzz!BL~f7P788!!dp@ZGut$`S8T1A0z9eduhCOwc>Dl$e3d z-ML8PBMg-2Itx1&83Vr&Qx8km5+9cMvMCG-c7ncb91ofV?PEydw&bjQkXUY~=xApf zgr#m<#gMz193+K&um>EG?Jsx`spmiIMZ^zn!lVyJC-=`Uj=PH@vniK~WM#SW&%(YODm`u9)O=V#h7=DTLmr2w>^U z=a6GXNi$HCW+Nt5nN5st{(tL;gur7D2jizp%BMTI;G{D6bP>anW zwun8qL6Bde_Tbt@0rdef1`2-;Rnw;Q9PA{}iU-gVRG>dw4hFKF3uxx0I!*l0tpt*G zY9u6Rt&{6*4vJ}*k=S26P;H?0mAZYpDd`FZZKAn`AL(L|)I<)&D8a2tP4ydL%FT+w)lARPLGQmBUjkwhyxvj-HiJEbqUri)iH(yF zq~$??%e%=V*~xci{vKWW%wD@GMUw}r`~Fk!$Ri?H&Xihgq8%~YmkLC z=fp_n&{htMLcFgd@#X^i!p7G^W&_<5qO4oS9@%st${W?h1B1ko-U#bJ$_06St~1_P zndNReRU5zRrD#0Fdm`2Q*^Fbitqh(=or*rXOVM+1{HgUbziukp-qlv*?Vta&Axea+ zMwKmad^kEBjz-b*G+w3ASIW?6PH?QiG@UeJgSW4GgAsy$eNOx?C2{8oE1#4FH z0Y``MF)z+*1p<4LLdOm8ysXAdG>f=1lxt%-G!1GZ57T7<%mF!2dXGo7v7ClRd|>QG zHsHdkUxZ~Es^`1v0x!*#X9?tpMQ?G1>7TWPT`0@dSmaId73~t){z$a|B`%`T`N{dH z=biHH*bjtIJh$manXaS*&2oRn2M&X4L}`wHiS)Y#_0Ovs{%kqcwJa*-Zn%qRV7{=c zfV@9aMrTi;L>1Mu4nIo=_WDONz1LTslum=dgS1}G*^%#WJRZiTv5bmyz%NHxchh9n zT9P>0Hi&gQO^b1kQRy{j^UwM7TS@Mil7QyvI~{|7ldtf|>r851MMnD~YIsb^UE(v` zCDd~k24a%vjlKM63wFCYB0L5uKJ~vg5BSmJ$FQ^l5k!i1gVTPA1J$JQR{L_cyVQx% zlN46^byFk0P`A7Rxf@ga-RixFR?22c7crr^6K{d>RuzY+7?l{;?Cf?^^}LW6MQE`E zc|0LKl0ANj-^$b3F9Jclo3whVn2V-28`ov z5@2gRATvu+Tx@p*ULdAJ6HgFQ(G&r&3el?A(RheX49`?MtJQz5x7K_Iq$l=Vwb|r{ zP@mudp?Ltw19^g3Kt#+TdP4KfgYx)ridl>bDLM~lbfzf}T8|T+F!XoL76H1|pg0^# z+dT3x6{PJbUwBNn!b=?Maaxs%eo?`e)KYr{R*$b`ptCw$w|gxvY8w0znl$Vz6b?`= z6p|w!311hdTq0secY;`<`97U{1a{n-WK8%TqUrYmGMW6OCl}F!XfZ!TdtQJ8;Xyd^ zPr&Ol&GIq{@_N((Tl6a+57v<2Es}}fqrt*8r(|~%WM!Doe#Wy=ov?HgtBy(8~y4pUzhiihi`H+7EFoPyyW zdSI5ueSx=-@iU}me7^LOtC zl(~k2zr^TI$2WWWnS7a&LXE{JSoYtF|HqCZ@K+Xh_DQ_y(1SwBUbxl zla?^#sz+sFC)|X^nC3rLsr{Ej$=dCDOqM20Nru315Y@T>Ix5|@& zA~Xe@TY?!Ha2Yl7fK-@w>!d9|SSSRMwAXm99TI6kS^^=QfF&vuA^}xH zN6->Nt*}9^Ea!yYfs9j&?kTsa&4_{7$5abxNtzX+xO9D$XIFHTttl;#7~vE|c5q2& ziVYa=`HrtQlp4>j)IN#?Ao?ugK1*{rxi;hnwpxt!5I9jQ3|Q_!^#swFp*MmyWBs6@ zPVDJb2nbqwQrlHLiTiV)Rzt5()}($;t?laiWM{CJrMuvPqa@2pWoeX`6pSo)8@1?e zw=uG8;Ui=c6E&Z^cm)~jgSgX98lJ2hnOsrWr<{3buR0GxbQ}(28l7Yd@R*?C& zwYI_|@ynGK#%*miPGsFKXs2$tFyDk$DJ$qA=cJn3km;dJflU@&#_{E4p2DH3+~uou zV0;qRzx9m#492~MtS|m&SH?50>z+u!c#U$?C!igyM%VvzubY+&n7%v@mU(?3>Z1#| zJnTdn%l@bWvv^gQ?=zy*#4J?ew|st6#^p;lGbA!t#T^x0Ci0;s?R3j|LLm zWs=SAPLtb$WNKs0eext?2~zcc6~4Vgb2L9f0RQbD+$mN=Y%+}jnkJ^yozdl0R)`MO zSVy@f-#P1bOX0ag`pz?DfQ6Yex@79~zIo%O+aK&Ie z$4x7#IZs;f<$4P)^0)CS#Sb*TXw1uLYe^+^bN7~vj_RU1T^iy?ak{r-8bfGDSsmc| z?4Ndz?f8Quqy|w9^=y!!UZ=~9&JM?Cy}hz!TJW5s5rUd<2LCMz@?=6B!t|pLLK84# zc24W{GPa&VjX;l;r2|G3?xCh;8uoPJ!Aj}S-rM%7syu#q$^x?1&~cB!_JEI3?bJ@Ia}HkB^q`76Yg^=(i5ne(6(ibS=VUOOQ>tyd ze{jV6M$u>Vz&QFbRnw~jGEtojdVr3q3=3)|ZNVrQg%Vh~KSb1{_oJ6ysK_EAdjs=v z&5Pp8spn{w#=YyLYx=28 z?{bt5gS!`7)B_1eAQ4O>*6sdmB%C@pFcckr~^)OliF z9$Xp-5Ot(3Nfrm z-M_;`y<|=G`q-6dR}+P@)M#CoXlV0SQOgY)Z)&yFO9~od5M?CV+17^K{(qPz)*<$$ zj=`ehBn&JUx>+o-$rA3cmqZkFt`X1^rw~}u{U%0)gpPQgo6MbNXe^1AC<=VUPG$&k6z$-0=DH;gcs^URsvqS^PrTg2kJ`|uzAdX3qt-fCCP1HKqrG%1Dgn5dhZPWJV*KPs zB-3fqPU4+9k{9hllFc#jN=s;yG?_f%5V)Yh=P&a**=!RWG^2B1Prf*5{~}FMatFa9 zETmnDzNSLP$1xsYvZ-+ELbq5`^|$|2yH>Do06kH|lpXVq0d%emXJU?q6bQ{z6IOS3 zq=;=6<2J+qbinY>SUYYZLo2YRej-t=@%!5RzB40dx2FUjLmZR`K$LE2sX;Mn+T6!{+76rRS$D01Jzg8RTlQdc6(PQRGehfn}FV<;%KYH2Ltq$RIGugDNwC12L zH+BFEKyIh1@+#N1+DnInxpIp!)#|J8Ntb6v{JmN}7b=vH%~8{8#z!wfVZLK+YAWm| zAT6@qtF~9>vAt@W6>3-(>iE}?3nE?w8z5<}VJi?-SFZP;s1@*)38Al(MJzr4##b-O z0PuXr*5j$Bb2njp2LcLg`^L_zsVQR{(XoE??f`}N#yD_lTZ2t74~W^@rLNmQ^QoV9 zMG9F~fGCg})0v~GE}-Br^|mm6xGwzd-ibV&c%*7`cpH+yDw;6u!VjD$=0YqC@r*0w zGAoj6kOTtXW@N)7EouauPu8i13=_#)WZpz}n5Xksn;W)&$5b-Myo554$P;;EfWt1m z77XMWYhqV~`!M^$b?YoBHTvlUWL6RI$f(Kjho4kTpQ_o@Djl-S)2VR0dDctC{J^r? z3T0!+w~eR-u$nqHu1j+K2bwv?;>y=U@`G9Bu~xo9v`>65P?LkV`yN#eh5Y468q9~5D4br(LJ83!*x0>2X_)wtk{t< zV#72>ucUHf3s=!n4P!M~w@Y(}>JtJQ}~CgLVx{2~B97AG1jl}M*9dt#i& zw zP2mK+$r%vL&u9h=e}*%F#DJs(iwj40&gb)_RQn=0H|um*q<_gcQJowyF2Y+iAl61K zVc>4EaQ=vR9yL|w6{k~H3`yNE@?*(do%n{NBz2mY{{&^LRo#l7C&oc8^c?ui2+=fk zOPac-6>1j#7^mOJ$0vrk?W29#goVjg(GRtfSa6kgsOi>g7ZZsQRVG4H_Gt({(i5rc z^g~@k@TwY#|1c?gqzNmmd9Hew{wKER;k|a_Mr^#rvg?pd#Z4DDnAEuxJx4MYPE(ep z;PD?lnSjZfx%3^(7F`BcFxyxLooWIuy`5`-dOI-QV%hh3?<&rR=DA!jEWn(0v%svk z5q3Lt#}Sd*n)$ zNr_<^oFc=3IJ{VQILO{L0dh+p7)dXk;5Ep4X8L2fY!YKTDktIQig((-OzmR&uKG4p{Za&LR zzAJZ^Q1)ev>RtSGuJirdfY02i6>oQ03XAJnW2?CGS-zWim0KLJ8vbtgF0B_Gt7iPbEfz+;!-d0WNm;q5Yq=!ITlMZlBV52q;r za6#Bz(}UVnv#8vy7sKVvZtZ`GyL5*BB)^jGn8bN>lfF~0^&Yw)`ehog)xY-Z3i|xW z6VvsD`}rCceGor|zvc=2J#YtwEbxcz1)#2plT0mWQ+4{Bqy_8%;3IjTk_h|l|BCyH zivnns3DUQllUX|q!4E~-=xrb<9oQuMyl)K-w1sSi*r6X74(;rs<8kzMx2Du5P5rwA z)bCO{2i*WYTVK?tco~Dmw^8qwFo*4yXe|oO zHMH85xM5S{`z4HLHc*qxS2OvHNFS18_pTg030~Ym(q^_?!mk_ z&GPAGq-Io}5L!o_6mQnbE{JByjoS2a zlWH!k0V^e1Fpz8-CeH29YOGPMDcz(tEy%Ra)y(|bz_EZuhwZI63f^xLJ^6fW+aYf1 zY5fZ9PuNrGgonsyr2E)<(wz+N??c4XOh*js!aAVOwBZ(c{X$qWr!}d>r_9nBXp9kV z+iynq!PC%!V2^kx25Jj*CbWezXK#P>X(jdgg`ayY`y&JZsm_m@3~ckWA#nO=NyzQT zQ17@Yu5-!N181ctta4T7uBb`MHb4LRc7;JkJ@Zge{NnE3y0%n#TE4`JCM{@NdY)tx z7@tY>xJZ#}{7VcM4crv&7acgNxDDN;4WERvw<|b#FY)tOnIRcK<&Q|`>hBVXq8k=z zjELy122-2f?p7Ono~a3xaN>+fx^Y;7LkW~7_|aVC`2Og`Ou_{Dr?ll{+6IQ(YNOsC zZf1gXXG|s71e?QwsdcQN=r*TUn$p-b$(7~A495e=k5K=d$7!Z)6ka}uJq#A}V*_sW z_;8O_j}L!cT7A4vtB-$OT79-ptIvKdTI~WBb$TGTA5*F;aYE^^7Vg((oq+xdR)BxL zn*L2llfn}SbCsOCg|b3UPQRqe%A&bm!(7070z#_6v9?0cPN7&f!q4HE8iwGeVmfgJ zlNY&`tG;{K+oGY0RxKC9VvMm z$Mx+$Lb^phYDzfe_zYp&4BlPJ#6(Y8!u&I-DjDQ*r=Ute<7p0r-oZ0ZxCr$PC^d`L zksS1@W=V8n0a@;l9P1Ib2h4z*J0xfop>SB?;OugoT=zl{3RL+$0B7r4tz?U@^Wz-!akG49-C-ONePY z0md7p*(3i3_n~J4U*#E~c06H1pi89-Fv1sgAK3C=L;Wjd0S(n)d53?oj~Dhvkf19m zuKfIfckYk03|omxcg8)wyrIAgrH4Z(4tYH=t^=9P`Ffr%G!QG?N*lsl z#L@B5naQYg6PqhGl2eGByx~0O+PuylGml3HGH`}@xOy_$^j6N@lv8eK^7sQZ7v8HH z-AN%PbbfepdYViR4^L*--n&zftgpt>EE-s54@em1YvJ`q^}LmRzK`V18baJ#KVZh0 z-8#Nf1)+cr6edF@qf@dd-~I+|jhPXjG(fGo^i|Uv%6NI4lgVS3$|9X-EW#-@jZQC) zwAxj<&28%6B3UyLMFeaZ!jp;x!DVVfTky*{+PCz$lVRTSr(;3qs%Lz_Efb`ChNu4 z;F;)O{uiQK{ew`%)ZC29s!Pp7FNazZ2eMW*(C2C9F{*fLjnVg`%3Xqr*vP<&ue8#v z$6U+yI<*cMcp2;__z{&x55m$GW(Gaf3)vEpyO6_Kx}&NHH(A`@;o}#u7L+&THd&eG z-vGN%l@Bg$Lneh)7RrB@? z&l_RDiucEdzUYedPI&?vdwOX6$Cfy%<=JF`s4d*DoI3laoDso z&~dffg?pLPO08U?cDt^ly>x~oS=c!iV!!3rU&!6L=P=25$M zMEOJ=VXj;tdl&W;Tc>Gls5*Nw>YJ)T+8xP|h}>>h0(=eAabc|fVmBV2oZLPkul8DWyWo%rOWuZ`8i2jQ@C>7;<8X9wr_6o7F^FI0ngo7^xr0$bq`Sv#$0( z^)oeAn`}j{P9f!%Muv_57onpuge>5-fn^Hs2l!d*5UOGWP4cEep=o^ySEv}lXDse4 zm_z`?NYQ*G*u!*dl8UF%4Quc$dc$|UfxBRjdeube8t}1x9RDgUCjqHgWkqRDnvY85 zs$-8;&em%>JzRqjQlsn`80?Ue=PQp{l`&MiI~_HN$nMQMZf%Oyq{vHfk{X4#8jaW% zMse*KZLR05Q3|%1F1&LkM_oz552UiJRll{n6ps ziD5;ze&oj#g@a?3??;vfo0hHd-s%{9qiFfPLl>+XF_>fdT-k=j+Ng2B&p1?dz}!rD zwMDNnzK40A6b_u@?2UbiJAd})(JW2W%T2&qjb}ZhYP1FUE~F5GeI_N+j91`8Qa|lb z1nMQ+HGCxQ0SdvzPJKsE&bK}QtNj`-h zp4Qd=4PE}Yb+*6sM}6Dde*#x@7Y|`U355^CC?wweI$u|)=E=RlKO<#4Q_xqIcq~dU z@gRxu{CQ9ihTN0tq^U9j)qyXh1o@6LMgh+lQnLD{W^MS*c`-JHPL$& zcpp-b3DX>(1gs_aOL7|8ilxZN{C&*R*2~i0RDk4izR zgMlWx5*4XAlVCMMoGW?|jV&jI8K&`cnI>0u^Kb^~sND8gIjFj2V+B2rC3A!vYsowH zKI&XS`hNdPw}d>Y5Ky0#=h9?QCQ}QAnZB*@z~s0(b$$;zM3DkhNPejIdy9N=8xYVk zK0rsV*P7y*_}@z@H%+3`NJXk(6BokBu2KCMk51L!0~+Ko{YaXiH$J>Tfp`4<%!n4~ z?f*K8!Ia+xsY&^g)}b(*PVni$Ob-y?RnN~*2e{gjvP4v6s3Lj2r8aNmrG=yLfDwZj zX8G2Q&(Bgg+RWk|oUpb47dVglpRwNX?*-Ow9Q%}L>7-NoKnyQek`I(~kjb_m=ZKis zaPBm$-;VzT01%S3!V)S`chj^tsND{* zS1f%fR3cPcMbArba8V0!ICG4O0Q^_dS=uU zeO5j`z*-S@BzfB_ys~!&168x0m*^BvcMQTn60x z;@8nJAbpOGdwA4>H#;5=kB%c+dTs_axSah2vzyU5|JNsy#r8?y!`C`TFd1@m(p8-O z`Li#Cb0p*y39&ppPvG#rLztAV0{`u(Ob?@R&obYjS0DuluSsjI?v4S$t&sV!P|GU> z>H0uNYmVsNH>v*~t_z%w=MDnF9`;`(*U|TRaT&oY_o8Y2+21|yH_NWrtrn05N4O#0 z{>@KZytt5iG8AGoTR_sw_$N`j%bx^hLG++C+c5yxwwjw@OdS9EoMstdUsQCxB$5YQ zB)+D$*yQ>#8*prq`2<~$tLZ5s>&V%>scw&eq(;hX8($`d8h{0JQz>#k2qFF= zT)T`gY6|R#jj(Elr_iIPRhcaKq<^v7`9Ups(5=ks(~9#Kk2Ih%?Kdao+hiJ}n`OJ& zZA~`la8{&OO!@i<5$o!UQ8b@R0cmbYWz8&P`ay61#LRR%PxCCjO0heXWvT}MFLsBA z$$T2kcItx|Vd%Il#cq!2!tk4eT-8U=t7Mr@Ga>4@+Gt;D7H`VB#Tc$35Cw8NoZwAS zWp`4O$0N0tHbx-v*3scZm0H}UX6w0{=}*#G^djGawyv_y#XCo$o)AB??28Ys^!B?d zv2}o_8X1r6VYYUU(iM*mz_2*$qz|~HgZ_sSD_S=dbyEtKw-eQ&iiXC=4V~WFxWf6uH(yTZpR0}T>v!Gg05P%05drTwNL<$LtG7yd@2Zf?ch#<#X1?j z`05#GY9#I=E^2i0x4o9t$V0?^k>wS*xF#xkP=>0kZCrL@wT=^yYZ&X#;nOwXd=+F)k-T=o2t`)62FfxmvEr(iR5iPpLsGulX|7oXk8XTpnTF! z&HEHY^%G&E;0rJxeJc2(Oa#{opjj3yW#_{wd>C0Tceo1jM^Wd|L&KdZI#@53e^jth z+Oc#jFx3w=mM_=8WeP!W{5D{!X3BbBlVwk4j`5np_W{%C^f>CjS8GCA8mbfZIxZhW z*S=N{I%Ix#ZdO0bFY{HdZWu(zqFEpNBYm_6LqFoK@n3#`N^EyTK~U&iByI(CVwsfh zY%gp z*i4aU)yUP1#ksMsJSz}aV&@LmxRt2_n`IG~iO>E6uz&a%qPvVad3rjImb(%dZF`uO zPQfs}`#=^40`(>xU)Dac%(FkncP=;~Us%xSOuZP(_eBt(&fD1J%5)6v4q~uF?lh%sm-_GW0f9x+G#D=Y;x3qgDem_x;=EjJ(bfP5kKjEOg*3{TU zpH%x2_Il_oECW;I?G6uN9ySs6FJ_g*TuDGRjL(D{d z#t@y-tDpxi$pxq}&(hKgu=F95bTqlJPpvbGi>l@%~n8c`H> zTT5j`>rz4KLf3z71cy5Ku8%PKrAqGPy@mvF(k~>7Uo%=pQqHI{7J{&r=a^W*5-eZn zaxImkDcU-En_c3zZNV7DtOs>2@bhH@=!tNHI9v%4JERMLfn)^)w62`N`83?pe1^Vl4(5Re>jbV6^`8PqVPKQ27C~nFrFXY?ZzLfSHxVa8vtysw}SqnRZQ8y zcR5*#JfD{LB90h7?H-UksK9KbaeDB4YC0v)7?8W3?31l5nk!x9>?7yv$8}!=nB#z5Q0TW z0wE+MgjmqSO0c@aqT9}DUxWss6-W;Y5&{Xm=*A#{?7x`VZ|3G69$D4r=YB$UrB2Ll+{#mieqc5X3 zi=xc$re&dygWrrUsI9%|8?{qZweeE3I0brkt57Hdg)kZnxibi##kR^uc*W-g72zZJ zFz0}yWifZKkSP6eaBN1jhRW|*$AIV(*m3B=-l|K=k2WUd@8-(Nqsl5fE|}yL9sJI* znT27mCrb&c%aZa2)3hIJq}nkj;*9&h@M&9Oi*rXXR`|dMMPFUMa5Em2>->+-PRFDm z1?nuyx;3a(2!*4o+ZJXv7igEZS2$|K8c^!4PLEt*c4u9Ns8~g8}F}cV%#SOr-Kvx6rr)rqTFvI;M@|UvY@kKOs>6fDRYIyoF`MM4hkh zuf78T6=g%OYa@Q=C9cye!As@nmyeter@1Abe}Vj`oMP zwA+1T$StmcM*>cYWowpG3{vB4DpGqgjiKJbNEer@-ScjiCwI}#!LGlQqpjeKE_}|L z0_O<(pO|Hg_t7G__d}pT9gERdxlnq7eV^T;YP~{^p~m?_Uhcj<6#U3>QofJN6zZ$g zE2zQjYUx9a-Yi;VW@wh|YV=JE1~&i38v%lyMEA~l3|tR_NZ>3w)hS}SEuT)pfxYpa zGna%}7Shw(RBSuCyvBNLtZQ zmWNA-*#~fTn)k`N-d>qCD`~LZVPKrPz5uagt*#e83c5;E0hh_O+DUP zBjLQ`FvDOfIwcyRP}us_yEDQ)=!n9iFsSR~?iOZopiC-AfV{+|?tv5$B5QZH7wQFz z)t0NKj-=lWvH1n$W6>OELI#SyIS$d_TYx*vjFj59Pz+}`cj#*``c8jn-`rd5qGADL z3{TD^esq>hvzStNR9I>X;ST}fayr{CraR?ZYQ%PJ_;{_%#diagu9?l$S)%?36mmHE zYHoB+xXutg2Kz)7dN>1t+$((Z0R@S|!4`EW(Oj_8`c2aAnzHpN8qSJ*rp!p(VUen* zCY2r4Xit4f>OhK1Qq$w%@IbA!)3YPkJ9p8jfqD;h@8|$M`2*f)@AYWyhi_H;mqy!ypUauW3eX~N~ zNgdD2qU7wRGUG`BOYa*=hM{KY?|DPWnZFeKr>QU5qm030T7RY(h2D-vJ=EJ0o_1B@ z)ZjrzVmZo$eE}`L!WN%n5dKSQDtbvR>py?@5*z*fK~tv(tB@8$OEEa!<3=IZDhl*nM+ZOyNA3S_&{VaE>`atKTsuOniZ%8`>3t9}ofupZ#sy zFpa|P0J=1bUc+a~s{QiIFFhi_3U$_2Wm<(uM|TD*{$&bj(>;f`lPB(YIAmX=SaArG zOX__CW)k2sl8GLVxD%klQirVS#~i`PGIp)susIK!tH zuxpT*23F1CqoWAw8)hfbXgG}2eMCQr4v+9(UA(5WzJkoAg0{v9fYSor>V2~woOU1 z5YqTMI{!O9h7!oLvv#u6my+Q$t*W(ZyF1oeHJ_E`JKd>zFq?|IZBm@Ju$vm8L{ryv z|DWOk=$s*89ZLi0EZ6f1C6PHN0Ms)v6@($4fg#oj>{P&~NO!r%1En*a`ulMt!c_ml zr+y~zYfb^m$e)w5*#sH^fOTii#H0k_$}S_qW&>aK$pdbMq3MCtcyQYQAPJ8eo{wmD zBb>X8Z(CZzH0L&L5qPCvZgW#xPO|gWW^JLZX0MU`eAP!?XzMOS{cA@>taD4q)awi( z5KoiXMTq{*)f@R4Y+d_JSHu&mH{0iD1i`=m!7rO3x0iU)*Qn_8+*Mrc7WT2EvPVY! zrS?^xS}gaSqm$iGsabF)KA!GmFL9%XPsQjE33j)gi?gHMO#wqesoQA?&<@(9&h5|U z@E}9R(GIdCXrh$O$Q+FYxK{=^WK_eU7CAhQF4a?cu55^Dsvcl;ct(W>Bp?hq=5?0z z9C4uL!3%BJh$}}k2kdB9(H|^3@Mt&ZL*Mntx%i4}^ z<_Z@F>Sbir!o1Tehi%}wSPEwA+MY!bEn?7*CFU=Kfqt1RSBtcYz9`f8?=uV&Lw>W| zq7b_T>pgv+kU8wsWd~7oCe8%cgkWD((D4f~1`qdOaSe!OKw8DNNC5sq;QM5C`ZicU3M^Tw zG+W}np@Locz(_<8y)CSUOylm=;`?71_)&`K3{;)d1pzZf@9$+Jm#emwNt&DI;->`< zqC>l>m>Mq*G{SXzr|;Ew;kAU!jHK zEA4K@vuO-9Y&-SMu2qookGEu%Rv3RYzrgjLWGsZ#vQqTVD6g&CP+dizsimpxgI%kV z)!L=?!m$kD&F|p;i9e?@q`bD(2%JdvuxjIDu2&(a&uPLA%Oci4!@B(*_cTk@9to#@ zBbH*miAZOQis1bfml3BMF1D$c5%bXs1wa+zD!z^*b+Q&}`&y=TwT_AfjE$N8C=qki6PxUoFA4KP4%0hRnKYZ@i&=3=)DUN2vDM;1}a)XFl6CdHlhAHb7q6+$G|`!@~8^ ztgK;Be2(pnhu{Cm7Fk_NTgcW|g&=L)-aciN#|s!33qg z!;h<6@=DlO1m|iniJC`G;2?67z!q5A?A*yv9s0+oYGOtQr#=zfYnSa!vKhOqZ+gpy z+FrcEJZwU{HCf!UDB-2X`^NzH?H-rx(Da+U^{NSTLC$DpgrC#PCpNGMKJsrx9?8Ior$ zoxg6>JD5o6-^YO7lx}dCLqT1n#Y%nP6ZCG=Iam6gRnMS#lh1wTxo*}ujdH@f?iR_O zK|_g?a@4E=u(H7aPh~;R}I!K z5f&CxtPnP@8hXh**xl}m&cFEyQ(3p}yz@o9C+qap5Fn+@_4-sb8|!EfbHWCKAlMMm z$4QSgNN!=?AvaF<&Hju1XVDJCL-r{evX7YwOSv^V1$G;ZjP#0pA)AXiMAZNZouF>8 zFaxK*VCh)=AYO~ncW@JDo`qi<2}v*jrwhtoH(+PBvR_})h8Y1nqaroj8lWcNe@z!^ z8`H)NE`wlTfLOK#!!Hcn0v|1G*K9(#gIjB=^`;wzr+yTLmySb|O)m$5{P>;NdHM3m z<>hV=xIa&TmrClvR?HN8XNL%74J0CUXY71Tc)9^2S%~A>1h&0F)*$p_ttO zv4ag9mw-Dc1|jz0(vgfu#$r1u7{uHeWF~{4L+Y5c(R%TiwqWKy$(dBtO#&o~@{LAZ z)P79A>dNApOqOt7r*EGG;m<2!Ww;o1`vQ2^MYKrb}hILIua}#-upJ9h>~a zNr{UX-gt95`G6%PS69DobYZ~`=WkvcrU8wZKOO<_m>*aZ&^;=p@D^UBu7`J%<;~+s zWx|9Ibo!vdpZsbEfBHd#KmFAX{_KMWfA%XK{Al@A7J< z>Ovf}W*n0wE0B=NMri_}^EvnpSdUb7N6zhqja2gZXb=4@pN-I1AzxNyoMfqJgDIr+ zSXq%e&DlvSmz3lSvo7kNA;3UgI!We`CG4hVutua|DL5OOSet4k$!Gn#L%XAIccW9y z^g#3r_kXgVpaxqYAI$0|L6r{uaXVaBT!u?RX7p^yo1r;(D*s+xe)IM77ht8Fe~tfv z4_^3w@k>Fo;91q@%A|g35{u`)i_t_WJ@qeXVv_m*>&e!&wr$r0H7m*bpzIpjDEILv zQX|R7tw}cehB|$yU~dF$pUPGpTQ2veE$Umkq8C`kWZkk!I}n<6z~Qq;0=ua$oK@!b zl^{8%l7cI3;u5xqud(b`8d{Wr5ZRu`z^`Ql1yV9)B_6f66h-L*@~kfi!P^&{7!K1Ib;xe3e*Au_b^ko__7*oAP*rLgF9wfNb3E`o!V0k(}zwr z0#68h+@ZVL;|kt%n>&_lWrwIST36&~IA3#$tf^TDVbkiyJF%w6%mKlaRih1LKSwUxhyBKCg)#N)EVg*QS*Dc z@%yWu;CT&xWER`+6*^xcUR9szl0w4aZ`e4+o;*M*KtbH&lAIkGS7?b}{nFs^Y_mF9x!7x5xg#IBR^#6wd{kF~Y zARSF8(=$Aco|eiMtQOH1Z^FEV)3ltf)4D?jj<4vj$fUkw+l`kjpJL7NMi6;)!VW+% zKSWC8Z5cUizM|Y~ci>U^cWJJ^H7MJ+3NUDr2F{?%e$%JVG3U8J0I*wZ#8krt?~_vLsksjLm{+PgwUQVUt#I z+O&gwz_m1qz`$tW5Gcn&#s^15z>#dirbRpeH@bb~X>u9tH9l!Sxon^kqOOZ2o67%+yZ>nsxJK0r5jD5xIz(N7 zAwuRsoPrVp#-V6$U{>hXt{`ASGG>~?#$|z_p=gBI8Te8mI%pAif~-<(YZ4mX61JGk zB*@LLS`n>DZA}yLybdWAXMJPC^EWJEZE!qmOfBN z3>HR!Q~uQ=Ent=Y`#<>QE3z6D3y*rxY;8<`6FAo;`=HHrmC7noPx7omDEK)uCQ4$N zYEOtnX}p7a$goFa9fKsDH-sTaQFd6nqEhO^ef*uKC&Y70oiuk@3UEfQds~;20z|y$ zhC88ul{p_tP8qWk^!cy)3a@{VXxLohWt>t?u<;Gkh&`__)oxm1MdV9$5RG+(#I@Q@ z3Q`~>DQzshz!a@&cr@NeB7JTgXY>5!lU0DEK&@i8ot?o(J(`Y`-e`| zuv47*6RKIXC@=L1;S9)z!Y7f|Nhd$6rxEg@`r_R%$p4#;PIM83N=g|2kC$x&+F^A3l_FbVMv zN0aaSEtaCih3#vnk;84$INjveP{WPNBe~cG?X*zxf~c_cc4{V|qckS2W%FRe84owT3R>nCwOzb>u; zGz~%Be6}ex-tcKX_Ka!+6&QrJhb|nAHc#T-2q%o}o-PWs+7m~1r|&GQ(Qy_*6ij`- z1AJIvQD^lalv!)UmSBZhqs=ALcDdHi&Q8_zK~N3$W@3>18y)Itv2~$t%+vQ6j^(SX z*?W!R&j8yUGzAy<(S;6t@{pKuICiDj93{3$3a@RB^yE5^RNXbI zpRo2{P0N05lu2rM@Ing0@Qc3TRdDJjws{peO={KM&IkT#HUoE7|KRB$wCpL~P z-qEIsm2c7JMviHkWlaO;Llp=jOq9PD>U$Bii_@~0q|y9tdA$IsV|1JMBK|zcV&c9w z9s*>EP81C9CIu6qjp9-he1qD>T4aCKqCeDM;vPq0TCPq8dLvvjZl09-$z7ZH`(};_ zUxu9+)3EfRO@_+rnsspu1bO;)kr~2LWs2yygA1p)fy^=U6=>ruTN(i<)n zjj?jp7V!rsK&&N9sTkr34ns{X!(NjKjC!DvH3f@k(YxZrjb=5}-6$dVZ`xIL)-6+B z1u~4Sj`^mx@BjP2(&G3IyYaln+_wp-93Mvx^U-j4s6HAZN0yI?a<~g*z(&S6c~H^o z4aT*g=<8(WYbhMIhw$V^9Y)h6Q!B5OwCH7nr$z{XAmcx2xAhQ!H6RbQ!)FXUZ^$og z6OI)U4r^;V^iK9_`2HWoOgd~@4z7z)hh!$gBotU;m69v=Q-p*I$*;EB-3l`EoCMy%#-gBe!-? zB_^Dpj=Gi6SSbtT<)~tq;reBvqFr9dd9hV!E*r;GitBGyA+p@-cb53$xM&tnS$zZLSI6`)8UhY2*I(V z<0ofsh(y*>VhNU{{4LtL2{z& z-l~Z`eK77ytI8cjpRdazy2P45vb*4vCX(-|g$r5qGK${Z2sGI%kaf74mXmckF9qDn z0iE((n8WP|<935Gsp+s+{{ZSXGlFsJ2zXI__z*_N9bdJl z4SjES|66u`+BNw+mA`~FaM))Uzl?=&(l(I$i_XAc*QV>o30rG;Mv-O)9-R%xUIM%7 zjE{EfX3JADdK|^Jg5SckIl{ZJwk{s1v@4+<91AlTju6X+$5^Q=;E?bOZ*-hKkGMPC0|I_}%0EEkGq?_92K$JXQPL!_qfa!qyNTAM zW|f0gokd6?luz$KZ$&MpRh(9UX76i_5fOkbV^M3SxMOj=)UCZreM(GBvZghlNFr=x z)1<09fvPrj4)3d(ndeER{;ef@6R57Y;oYiod$vgnldZ_w;=0Q3fYiHIAX&t#L{#6a zp`wBxeC+nI#iW6#QbXitma6`%#-zDaI$5T!LJ-l;aw)MG;ubU=gPm^Q*t!1?h(5Xi zl%6TFXzT|9l>i$VczHEE-W*h`4EU_bvM!n#V5BP6DUzPmhYDAG6I97NC2x_+&(xYa;!m|RNM2U-Bzmj1 zr#yW}FW2j&1d0((Q4$I547U=FX285?7cH8CDhzJzKU0mof<{`U*|6Pc=SMnWv06_+ zMmbj_xK_^UU9?zd)q+ZedX3_1+k_p*Z(&nErKWn0B}?KNr$t=PUx-$ux&9dpiY;y_ zM{VW=cHz*_s_xO)X4U%rJ3na}s2)VaGQNF0v)?`*47Os)ZfxQW{AxcUfS_RA ztdm;^sXGeESx0ELi_%Ue2JpU{G$r`9q3wZi#nf=Q;g{km`W%ed9_JrGdr{MOX|0fG z_~_(xY~^`NN;+6$$H6zM+eR#uhSis;O#0KJg%8{K5QWsS6C?g>4m`0Hm)wF`l=_kl z{G#h*sg;9-m%3#qh-2W3lAa9AGyWd>+#_3!98~zu(!Bu{?M-wRKpMX4gEAEISL$i0 zqYfT!9p}30lW4Z0q^9b=05J0Nm>~IY@XF8M?0SnCP?HqI)b%18u#<;RhDR1V=>Py< zg}rM()9%3mZP{g#=I_ZDZ{&AfXr<<(A_E-24qJ(G5@bQplZ~NRb#&Y$WMa?)t$!a- z*+bd^2@LTVy#F(wNG&qbc$0c$Jk5c`iBTczprmlseopMWiwKti?mQeQH)PyQVIhF^ z!St@fV5@U)x~J>-eSE!u5e{5wG&daL>!WENusD!%vf5}~NTnf=*42s?M{`?gDx`I_ zV%50kfo*_^+84J8Ru`50s0R^@P$)zP!WGT;$@ zi0V-zTp-2;OYDaYO+JAWN3LQ=kFQntuveB}*8W+&y*Itm(!_h|W|1BwtEWLPPE);A z^!#VBg=n7l(`_{JLaBExiT9>Q>K)o>^M3KQ2x{SlTMjAW^=kVgiQsig;0-<-kPKdL z^*ge_?*ADlK=;gft>*E2u=!D`HYn1yGuj`GcRkptV8*C#3r?~*0NFD@ZynLudnu(q zjx>q{Pc^7o3cXrX&UBT;1jR12d2nNGTzBl$DDq`q;i=oRWo>xaUshb_=XIlV+CVy$ z+yV>%m=uDhLsC`+MYix-+lw9Pco-@By+Z8G1~CGEr~~!e-`2k!L}EzE9G0d*auj9C zD3*3oDV&Xpt)?a9VRe66e!zBY+EiP*@{NS+1iRT%EGuHjQR^S70q_%8Q)7GF7D85_HT1FUF2QG!P;x*{n>LE@1nMkd zPo9DmvQlq4AS=psg?zjB|JsJ4OYg*92<|fH?T3o&2)}mC1>kgraDEjHCTW(D-uR*b z2KpL;1;FG+H3YSC*{?11RmyNdg}2vg6NHqjrE-3G@#U8|jCfj$EXyS;n5bhO0$^+k zB(dpF^D)yM7+0!tYNM6-L3MY~#JbUqZT- z=#EGMOE@A;e2oU9(4}s;0xOa|2gwD7l5-lW{?-kW&XpfP+9;-`f9_~^-#Nj-hkS$9bFZt_)S#2q5!5?m?GS9Y*WGvq5TAwOAD9Db?(UP78RIa4QX z6?Y?gh4Q3(3!&&yLzU>f9)iq@;|Q(K{MNWT;JiaX)?NJiYkYohdpcMNAwcq0j!^A2elGEh1*KLF7`X3X9d!!I+>M7IFe-z;&X- za)uyrx|kKWdF8wnxFXG0VX(FPL`kX9txhma$uIjfM#v}!1#a3B->J<)-Fa6-?s%NI z%!XlfGi2TG<1QF1^|sG&sdf&CVdCkbUYeKbY*Cc64EMtgTSuDbi+BQ2cRT)7u|kb4 z6qM3W39Ty8&&FFw3Uz={v`ej96NMsDoFslwql~4#PP0O%l&^6Eo{X7_N4XKf1Cme! zwe2p#OZ!7&F+LZlL+T_6#y&JduuTOZGUxQJOvrJ*fSstkp)A&GXhoC)T!P*$`f>P; zW*pLYF=g}X9N-Y3%@ef2pb%)DQ$FbgPv09gE<7?PvM*k1a^u~e&TLnl4 z%vD%-qUKym0J@J`TL5=?QC8P^PBmCT{!_LcH>)n8SD1uJVHqoGUq58D$wgelC; z{qTpr10idFUctun)1p{KmurCchUtGpkYe{Ox8bhFTONBwBHTkrP}qs)uw5*jCabn> zd^Cr0z>ziicGo0$tkjDgr~cHb1^bncRTQwk8L-YW zuJrZG=I3E4Elms}l(cVYFNOktHg0|z-(ClD)m#-{3HAWqH6bZq2^v%W*z^#c0m$j( z*q35@95oS&l!p%_x!Mx)r8?l$mufNRV36c-P_amtj9b~!4&@@9DR<&ylr!(f367Ch znlzXG_>(Ss9aXWIZfz1**9oPjdd4*u4(8CjYV@%yU~rWrgnLR6lBy1ILuJPf{kLk& z-*voxriJgC-%+E2J1)orAnui=t~^7!SCY6^zJ)RG!R$c3r&ghTC z#J|69Iqa?;CledOsQ;WMJ*0QDxzP%G#y$It@#plQ_f#9swP1=7cwm6T$2uVm zb^~~0bP;6BqAtqm-84(O=g!YlJM-V2v~F*BgYWytKj_8xSOu9f!&h!bR%VfXI6l!(O-B*|}%UQ6NPIjWu^u$=tEdB+}8SkCG(E zTM<@8wa%~c82n40N~7!xVTC=2tWl=J(IW8lO@q+uRheed=wz_lPt$ahbbL^+RM#A; zIeCm`g@_3P$>N??DF&sD3Y^n+#VoDG4)>-SPa8$ zb8`S4w$5#p7WpUe!dOHfylM}xsX9{gaxiEMW~fl(PVE(Q1$1@Pw*wGS8V`My^6#rSTf%M&kl@4Jo*oZ(!7V$-L1;Ogf-?Y7K(4=YGHShVWYSYh<LCuJ+yz67qXBCR&=k3LnT7ZR}{3GP0v=w)hZ zF^af|vvt~qkpN^wS5xjqsZIy0MK&$!#{E}!%L!z18r4ebL`bLCjz@-rYd9y(Lb~x;S4Czdd|xovUr=VaLrFcBZl$x8qSF`9JNOzCDf>5*-_V!)MK3&yuWw%m6p!Ni0zu%ZERCZ)2875 zE|f);QOo#azaWGA#tKmsp1C=paD;FWwo?m5AD9ZTi`3s6`P`$c(JBTfjmhlz9n2hr%W-P(8 zDz8NDyd^A9$IBJ?+G>i{(`lS12(23H0D)f)VU^aBE8zdQ5#_$_yG8eGhpaoaKdj^F zwP7Y@+IjenEPj`}K^y2IT7}-T8H5! zfIu}@w(1;bNRkA!Xd^YKlEDFYCzRW8Os9gHjd)3?1e9Iu_=9bOC|c_2huOOlN1c* zIT5_}i0*!!icJB=bVec|<{a-zr$}so2y*!A;IJ=U#1P}1QFO>L8F1s%u`v_&#g(4VFLS4Mu$dK#F@;N&@MLhgqzW8d7}iD zz$!UgbAzg)3x(7A(2T^F&t3t+sk0+o+<%0rW*VM;b@XB56T8IOWW6MVAXpIL<{#S& zSkMcGP$*upnKA&n4c4PUT6IyZXkeS$0j0}%;t>zrQII@oL|3!DqIDYVl{ z4a8r!6%G+)kv^VmPn6%%yDZVaaZ>}4)7KxN3Lrk%smQc9G7J>O>RbPyd9sO48(7WZ zyopN_NpifKU_Fov3u>_aBZyzb+%^ID;~K&BU!K1?hgvw)*_vWmmb!RRCdocl+W?99 zY7z5n`UKegL#Fhe#)KTXIRC2ABx0ktZISMLb?7nNJq6`%2T110qD$ehg zIm9BH1T;M$oFjNW$AEG=suxUOK) zCbreGFtP4?3}gi9RGoraj}dtd^TgJ0@aQ1-sZ5{{cx9%H^`&`T2~FholDxyZsUrWV zoj7bX%sK;&o#Pw-l=BsP&DwD?@ucm~R@a6;?^hdh)qd(15mQF`&o>68)oY6ykN8nx zQaKy~YEoH4$`EafE-F*!q0lT4V-?-L6Z;!*_x#BA$#B6xgrEvg3JQ^?UTi&qd2&WM z6S4r!*ca#tfFx`*1=){UX1qB^Z+NjZLgs@xO1n*s7OUB}a9v8QeG9UoPvn85Y%y&J z-v1+?Y)ez!|7;3WuTmu*m8cFrhQ{t*AVC4-c7C}D9*v&*i`#Cfr6z}sX7j7GXFc;< zX_OmiX}xo83=a0CJaJxNdz?4~azL-L13%j*eTOTkih>~BN96vg<|{9~##Uw6bkf*KdQrva$<}@NVOwVSpjrp8U3V zll^zqP3eaF`>l_NaMI+95)7x;W%`c5(jTZ3+>7xWbyQeq_9 zd4I`2VT#&cGRN%KBvg#3T#9x)ioP_Pr?Tj3lblUv1ofhxDh%e#(is43dE2I-331gX z;ONv2D>e??5_pZ^g8^Kj4m$jUWkN*ZRU4cRn)c3C+H~ukjLZP}wz#)We zA842rvTLMa=C(eBh>$1n|bb4J}A%{5f`~r=ir2dqx((dZCz2}7Atv);`&%{a1HS>LE% zzHk&F&O%Jc0*Njkx`133HC4}MNWBjQDR8?wcBVVHP|pvKisxybC3hfxHnaK&u7mfb zuWj1t-I*AXb|}J`cVQm_AU(;Gd09ldJjZ*XTUaxDAOf~++tO-o1`KT5b_Pu8dNCx8>B@aB2+6Q}*X=&AWc_t1lx*aQy4UPF%=;ph@9jy-%-)t<-@ z{5TS4;q*^-qmSbz_IP8+c03#&qrpM@f@-cd(Mw^7BruhHI*cYJZ>7$ZpRlwMmv;_+aRr|N{R$9h!X^jlP+Q|As+LRy ztVUYl0dFNk_=g6;f$;N3oPv{I&nYp2ByA8`uKel4e9H2io|FdF`PPQmCS zPQmEca|*^EaSF!2Zd1Uu-qz*Z#3pJS&+hE|19b;_`IB$VFvu=<(k)PTLKe%W8bKeHy24o$6t31>FK1aW;qOYnBo>v)6=w(*XO&}}gi z_@dF-2^4;wDBnp|)1bEsPfqzNJeau6o$Dr{mb1av?7+L%tD132kt^b+hI-pM=z(AH zr&=tkS`@@WiDisb9<+oGxdsv$uq(GNp5v5PYGTOh7UMMNRXN>U*um2s$hGpac98-W zLRyzaT1Tt2stW@NQv=xY$y0U%n4-kkv&|3r6#VS74|>S=e`?dhx3woU*kGU+tiS!? zS@g3tgn8B0`~19Go33}|GJc^}uJY@Gf)s`$gui}R7Z;|L7r{=7 z)hdqETdH2%2X=rhe2FbM%0%0U<#hGKMON?>x%g1@;!rH!|EoXnWt1qI>>SxGVcUkz zktyaawJ?uN7;1oay@1%ctccYjN3T9m;ONx{iyOWAU}2;0N7U%gd}`r>(Qiib{mlyX za0`Gas*Ow7Ef&*euyamyQazZf^c_7HWhkiw(=o)5^%DErB~q^1**~3)F)yOg==gw2 z6&Fc7GxCtE?#W9enJ#j|)dlOG?VZR-ZW*T;*cPyaLH0q8a*tZV(a?0NoiPD~BkrAO zq&6r>hWp3+LlzsR%b~6{oikXKBVus$B7p97oMI$&kpS)%6%0*nmos8L^*Ezlqjo~C zSoQgs9!w-A%+h|9AZ`H{XYuq}2a#`cmo?s(A+@Z@A?kSiIkMvfroLUJbeST>uerIp zTvzp=$u_7d2ShRt&2)8(_|S7LV2w(O;pueG!X`rQYi^8W3{RuS(GUuJM`y=6@E(@%az(ct;gFj!O$@?HJu?Ig zqRF;%>e=gC<#i^xI(VZ!)hDDm3==B2b}glgA>CyEno6aGL!Ft9&Z1&kN8InNI$OsL=R# zJ6~zilmlP<6*(r^G{VfLp|JdhD!V9<@`9_o#Oe@KxjRT@vMab<)C+;5Js55~TJ=LS z+=F4C;hGI}x{h`LL^^awGC~2~hu15pcS4zqIFoRu+-WwiA(R6n$X z867-eG{iu%bJiTw0gh?B{gXNnV;XPusHR!6L?9guXY3B=kcM-z^>7a5a89R&rs?LaSZgSSQg&u2VVnhwM{|KGD@h4O3&n>t-@zz(Ndbwk%{0Oc(`V0k zqIW680Vc1oo-MDb`3N?(7i{qoeM*u~?;=}m8pK!X!t@u#b#xg|7I7qh{V00Qeu>=C zbRg=h&{igY-p92_${Qk=h<234sP;3pEFOcbAxTJjWO)MBM!$`#mgN|AKrI1~)G@jia<+L+f|lv~P2V)t6Fo;Beu z2aBTtX|OA(ur(r086(IAp3tHwD{BCYK4Qa%4DFZ~t>yg*4neJ_-@pju=nLp-*|H{=BlpY z=!=4M<9){y;2v)dM_<%68os8Bdfbxj;K(!sgMICp3NCT!Xf_H1ZYj0n5jpu4&Q3+{ zKB18$dG*C>+T@XXolq+H@#XGb6Svkz zZjUi^mPsjm(LVers^jY+C;h< za5cS4|GbVD(a+-d?;~Zy)IG@TEgI6Gzuu}xliV4JrEd9?ZKP&2vd)V#dHFS0rFyp; zsaE9sM7RoYF-&=p=Vefk+UGOCGu@PZj|hRbuaRd$HJZ%Bw`w{qFVfOHt}djXBqQv5wxxW-W;8s0@UyHbl?;6Ly>Qrt!HHkP^-C(m>-O2-ArpJ>HaVNz-I*P zF6G+%T68B)r58|Q@R#5CykOn(A>M24-YozuprKof)FAgB+jf8$Qwte?}O zgT~c<0|LiYgP_md;RgGI&@uFJkD&WMY)~)sr@?i27rs(P$*ZDN4~LSMe(G{-?%OVU zg;!m*b6wmDuO3X6`|A58$`x*;ZvVsi6gD>c|6{7$ryKYV9>kCvAY16u5C29th>8`; z0nxt#EtcfAONE_8M#OQ>zvQLPc-0zU7P16FS!GlH0WvTxMa?*EACeV9z0H5{=~ga= z17Uh7wbWZcoE(fkiYP3xX<{lhEi8U2XDY9*c!z0{rvzf!hApHr1j zpNbBU-nEIC$Gcebwmt=6;h%wv74~cb*GUHljDi-)B>~bwSLe2~gnGc4&V8BZd|NDX z+*$!obK36i1Wy@Lyi>P%AD+$Ux;TLw?{aslKpnsHum|ea1VjiNxTCWHRsO^P?*uIn z5Lt{PL$vCyIs5TWsrE3$Lz<93QU|W*YqcuI=_?4vD2(L|(WH|BL+n4j9Uh<=NpZ`~j6MJM~j-})B_ zH^0uMJXJGzVx2Kl#NO>b;YCtJRpSn(B|s$Wa4EdoMn$X!ern1mucrC6?A4o41_i5yk z%b&jAwa)-(h|(!A*5ib=swpw<9de9x`7HcoE?u4Juhk}07wUm2Cth8ir@Ce|DOVBV z3qQZQf;`+!g7e1K&aJJLG`DRCh(bz3;k&+7qf_tPH+;WZsOI^_MYnd22l9VLnOn>m zN6(spEHF|sFw1}tm7eKTt&04rpsHA{bEP(h=gOvqWaNcfw(Hy|8Nr`vMO<2Hbi4Rt znB0x3A@~0eZ60b3w$p7{on(Zpv=m}B&VxW{qNLOcGXhhI0>a_dIA-f9tHHEuH9PWN zf-Y+lQ5N3w);w8A!ec2!$Wk`HCbFtMS4>_SNS{T&%LL(1exJ^w>Jfy4Q~qNhc(IN~ zk50xzlGyt!8a){e9}SNTCrxj@E4t4%x~m^`+VD*8VdSQ}id?nEw2#d>)F#d7?98YM zHz-AXbicG_Lc(iPvxS>DF`0Vc$K>%$Zxlk|5MyMFt=D|BTG^2CH9A^fGv)Ryk=PES z`~i>33)D^Ha+QF#(yqmFsGk<3FRi}XHOMEmLR4!VN{&_ga^1{&jIf z%77u~N>-3N4_Vnp`;)tUX-?r2q7XiqiJSm}sK{Q()cP^h$4|;6zShw&FB#)h8#r8N z$7&6swQBj9|#)mQ<-~Y8A^m3|#4o;)`3o2jS=ZRE`TJh8%?9}gDLL4%@p|;BCWWY+$ zMn1zung%E?D7@|F`-`DbI`Ss?BoQg1yR9GYF)U%1ET0EY&ykzR9c6rTY=b zoxj60k0YbSx1k;7pFg^M6n(VBMqoAMUIX%ooStNSm)>n^n5YwVDeTQ zcOXC^t+O~9g%1!l7&Xdz6P2w5qX&pSMEYsEz(jIG>1?SCAvfA$N2aVB2w-@%V75(S zvo-1o_?JhmOU<*!Mm}?Epar*Xb&DCFX$(Y1(aq@~`n|RK=V4@f^P}LhAR-)gZ}R0f z=bE>eTeUaTSyBcOBl=5>KmpNDqacH#X$0uKiE&{MzznI4rVTtE%@gEnN#bG6Q3Pv! zOdT$0F${ zSXy+WFqh;qg$8y@*=-c=Q%Aw0=%qMnO%zZVkl2CRB5AXU)O%N_%9S;B>+FhF)M_24 zK!bGuuYcOq+HRbRT8Y{7-5y1kV8OwhPgz%ilQy)WzcQR%t z6`{yw;!xDK83J%5@2KNP8@O58;$Fkx{oQDd-5THMXYP;@QR`g5s7Tmliu&#jw-v2r|?$w zGOFny1sV?MbehauWhUpPxLCwxrk*|$DSV-pe;)l5g4IxK4R6%f#Uy$;{XA3aB~R|O zXOE5rWc1TAY75lyjhhm-Nm;}*pd#?2XC9Noz@>6Hb|6d?fHk`W^m`7GzH;t zh##wyV0tYbkaRUv-B9-G1)fuzxeAR!R2`Ov@*lCq3OgYuN8Qg}qn5fTP%YOP0#&%= zSBGGTVUV;5s$C&FTsznp3!_j2qaQ^O1Dl;h$I)kz{yn(6j7M^h(#<&j%>;*1PiwO( zqHeBZs_ZqtUQ^{z$T-#kB?u{^#b;qCAqjRQ*#Kp6JL`|l?v-NgB+v=uQr2 z7^_i7-cVGKZ*(n5n|iA5R~D718(BrldJlZzp`1rCZCRwwEqe6_BTEE3+5uS!6x z)upB7!Shlzkp$O{@X>_@WQ{@U16GvRC zdwH70xwe^XY!)Zkgl3UoR&z<&`?L&b+%qnRzoLU zb(}^Dec+C-6Hnh-bNUcya!nBAP%B8+&X2=gG-7ai#;H9o?Ld*Ox-70O z9uz{-1nWby%_j=751QE)IHLeH3lcI#n}Pv+9jP7c_)PuJ$q4>utY%_-deT~x!ejEn zX3uP@QF&3f2?9jqEogukK+UU!0%!JRChO!g%0L&amV}RSpFT4oF_Cy2!$TXJ9`w)p z3|wss2|g8NXDC-xJr-qJzvsno+12>TgxmZ1Wi(T+4#Ylpet!83R`GxHLuXSHKz9$X zPk?pg?Z_(>>b%hus4XaVV2no1kkP@wM8Q(f(hR-%VktloHnxZX7W~DA>^F%W1NR}D zvHg2!{B%QCQV>*~(`n_>ObL^^o1HJv4j<+w4ACPiP%e@W;VW&u^e-zcV;W>vcI# z`gdi2v+1Ug0D=Sc0>l^YBDjFO7B+N9-pgYRcSVaunNa$qFy|g!hfpK;N+Zg21KbI2 zi32)mCexPZDa>(}()oLhWU$~9mUnTkQ;zEUL=T|f-0EM5fpp#T{omdIVAx!+51Mv1 zJIW@uB@%T}%J^in0V;0@Stw?f&TzsNC1v4Fq7!3ZvuhD3EQ z<+b1*$tZ2|;y3Qd8_f$qu)IPz`E%S$zEq}&@?q@2k{d|i?L}{m3Rs%Axqo-cx~U?# zLd!&LMygAIez-j>`RU!7g%l}wZw_1snon1mM6gIR%rj8i-HpXJbI9TA_F`oK!hz)6 zB_Tm-un>a7^MIw%PM*xkKjM8s=UK$fw%3o9TG{MR<94a~ftZsrN)~a}p59m+)q=?V zMGsvACz*1EAn>i;M42GCEFs~f4u)q%o+n84|JCb2b+yDi#LE>`FZm#A zZxSF*h}W9lzEBqWZ?A!bdo!{kRvRQ&>b{KMrOWkFyb#=z76oB?D=2bOyK6y0iXJt7 zR#2kW@Ilc>zVbrX)0~%J5D=GlS|@`aEARSo?4}570VCV>GE!f;i62ipkikHf&@JIUw^sdd^@ebEO1Isu8IDfe|!6~WMt z83v{%M7G_?PNcacK(p(Y!bK2OkqLB@-ITiPJ`OCbzP?dOJ1o9VjD4xpA@3>}T|pU{ z+YEdp3%jq7^{WQ$pe((*BmU!MvTH~JyV}13wqC|K+b(pIh;ydH*RA3A+cGxSm4&d# zM)+PJKH9h&44N8s_MN&|MF+bZCS@bvfcZHUfpT1~S(Iuk?VsU7YD4QZ8`6a{HL`Gz zsv7=ts{Vpk=->Q-w80%l?3(}rxmDih7`Sl@QlLFM@JY=5-7`e%-G*+yzDsZRqV+Y@ zj3qvl_N9Q)Hfj^w2rc|#eu#lI0*}u{^%IjWJ+y-((Sc8X&7f?_mF&iguhiqrXBno% z?tkYK$#I3aRgr*lR$@nNQ=)Zs+ITNI<*hG^CyCvUZ_{ixwSj59P`+>+HEUdwy}D3` z$3Erfd9}0(FUWC8Ck}XNM`zoJ^>%=I_jJTOeQ!B~7;CFc(E)R3XAn6Pq*bp&Mdaso zrhMc$dd`IUUv)7aXW2bzokv@F?Z^GH0ogr89D;oSqR;aJ8S- zP);ko!~#LnSP^2p6ewrmh{evp)Flqwy0d1|#=(F(N1}mRwa5>tYdR_ooTm7d1H;V7 zGL&i}21FTOs-vy8VhG{73f(U9p71psFjS9}!a^?TXbX&JswNRSUSQHB)#xFvgy7d_2g%i44SvGJKLD&#e>pOAs9&c(bJXgT3w_Sf z_rYUp-I*oSq!_Be*RN2|a+C0#z;aEBQf+TQ@Y_`AOG_lp0iUcJe6kxLQ-eT5fOkyd z%=N&NRn4_9<2}?jcz{r&2LE=k?w$@{okCc?Bnp!PNeUiprP)ZZ)Djo}68pZPi!>Y>lc58` zFj>GY$E%bA|O{s}XCutl~vzvnUJM1X-X} z(-`sCCZM$PjytB50udWRkF+;~HDfjw{;1iaEE7`mvq=2x(p8dBl8CqeBKsH&zMxN$e+0*Nn0<;0gZ?cSj`h5u7CdK`Ti*%$!UIPBlWNGuSnUkLX+-_#WksGYSqS` zg!P3;k^&1>%4>0CE`D!49E~RV9o4qxbJ~m47fF7n-Z%@O#244R7%n5be#7k@%IZ7b zePa9i8?#{jHU(`1a#fKCKp9I|Z)W1q;zJ(Hx}3y7BDGp)3>X5*^j)Wv4MRLg)<&U8 ze*5XC%J4(sT1(*$AnzoHI$V#V(!I~tK5Lglo_iM1W0(_VQF!ekfpAPwxlN1j zb(^3?r{3R0s^H0i3*?0+q%}AqJhD3UJ)qR)FX9q&qY$rp#2|EHSQI%t_#A8#JmdeUA++qv zE6Yf%38MF-+YLHejziDE?ahSFMK%jb?ma|~*&~>Hpd_=~%0p$DL$Zn=N1FM6ZeYKg z(L=Q2zsy-h5?x<5<3-tIU;a2<{~pl$5(3;-=Br_l21cVfbhZwbVWvWvX?%`A%c*R+ zm(x>%9`P(RE*;}efr}I7HJrI@498}Z3y8c!@!Web8?R!`QDeGrYN>*f!TM1V7{IBq z#cAV8Hg&Ey@1PgpCto8F9=zQwd9SQXv~bVfDLcEXfRoC$>51Fzu-97aCTP>j(@FYP z4RbF7F9PT7zWl_^dtXxSF(^CEc}X2-(SOR?tZD`GFkrqCFDGuqZLuITF1@U%b*tbV zhVOU7K}_oS5zdKaALEAMOu&Yp>C$(7&hVY(bV=yve2IF%%M@l`pXHZ84ds-U*v1A+ zpWWI!&QTCAI>DN-Gn4hlpQ8m~yZIbsA?|J%6gZi;MeGeq=Pi$&&?2fO?f2js#@*|$mY z4g&K7m!(HpJkwUJm+G$i`wXU=lL92B~M4YhB;VV=q#la(jFHmZ)ob z7h`rqtG~}0%wOSD9y~gWc1}-dA`kRLp84~5da`YyW;<;xnG)6tLs($$rPZqSbU`oI zlmm7zlWYQxbrM}Lr|lQ$DsNTrxxH84S@zi{i!&bSqE9qT?jI3wnnw4V>OuV2;d8d3 z5p{g(V~W8@+9pz?y-MGilCiu{TaE`l6&)WNHnXHs7V=8kkR}j^ zID!D&*4{ygpe&p{tvM)*$oEoPuK*jfvF#X8_&~tDL`_J9h;skIu4!%rBoh`JVlthr zADjr2>%!{Ia&F?!ZR7>`BTQH|dTy*5UCJw>Wf%>f{$ibyE59LTRl0Sdue|_(NVf|A zeWk z2yq*nzFE<^&jp>9{%nsUK7pT`B2iNhI>LS2mVuIoG)U|!AbE z(M>6CqV#T30Hm2(3(_Hb(Y##WBIL?QFY}4cCw#U!6>+$|ieJW$JK}i9(TEhz) zBbh{(w7H~u+!5Q9q>il`1+)%vY$d=R`c@k4aa?sn-GybK`Pc;*x<10;ncTAa!sjv# zG;+0}zM{b+9~?;EiU$XPyW=7d`2kKX5Z|YEm&!&LptD}CVYaG4bm6pHlrtiu(l|4Y zKN&=Oy`hrgOUqyRqj3sV60_@LF2R&uv|xL#oez({14m{VV=9)+ABeZkqH}#MCewa=|&DF6s}*`s)Sw);ACo&7^UTW zjKh|V0K(}0zyg?#=DC{q%l8C+xiRTU$Dnoy)hyrqO_7NrD)yB<)kzR#=l^*~WZJedkw=rmq7Fl&oIfH+gMUe$2$AA&=(`cULWuj>> z#Cs|dqTKOHZDP@^fGWI=smw`&xXpapih$HTA_x*FWX)D33(d6vnX0nhJoq&%DaPMM|iSflzUrW4))*)}J~gre8_fWT`dKS*<`HkWSP7UhS{ z48$NFJTYPjJ#U&W{-C?Q|F3lkvrp}W(4#BDrnl6V;I~{{qARfJkS0IwiC@(ds@La6 znkD;fjz+&q{vk?kGx7BhWuehi9O0GyHYr!a0%xL|GhI0+i^AL){YA*$DP^3AX&3fx zJ~cFYH<>OF5>;_oY0|3KeO)LQXPr+MyEL)YdSc{u;&M4rKC!O!ZX*VURAgM+vR2{K zOFck9kD}Z-o>|@=?cch^27x_?2p^XVnkTRowPEVs%Q5QPR!}(r6p;&RWc{& zyQ6u-A~%AeMH4WIg|u8gsj60#G^ylhk(~bY&>hv4os1BKzeMG#ki5(~tKz+=xX$85 z0el_}Dd_v}e%On7PlnclMT&WgM4zTB3#y)qt3;$~TO(Zg%9Vk}y$ZH&mn-)X&u(BN z1TyWaW;_K_X+)~E79;<{1O)741WK*lu$$Y|nAW}+WD46nrE2-{O0_?H+~Pjm)(*}*x z81r>q1+BcLrgzg{u@IIMs?@>U)+4dW^rk7~ka;)K5Vf!U>TX5?h)X@-7fbara|wnT znZ%?S;sta&ZJ!w8gcO>XuO87{-J3sLP{5r5%Fi2)eFXFjMkY?)u5>;l%QYwj6SI8E zM-zbwa%A*uUP`d}LG`c$-Be)crNo9ZJKPxK6zjD~Qq-ql56CEjvC(&P!aDR5U>2bjsBLBot5Ut@Ybnr#mn;jaqGwY>^uXnUN5fF znD9Vz!bNWCgX*ljKnc&6OvR@)9%xW21}{*xh)YRZ46-y1=iK4x!9lchc=TxWBO}dy z1^(}Lqr;zkALAPzoT>4R<@k~{RHSV+zR&R|-^ch)4u{dsNF5wzc+ju%*eHqsBE@l; zP9_QQ$@U)c3vA__ThXk67rL$QaEME#IuK=r`ZT_>RT9H%RgRPu0lHJ8Nk;co^kNYCs3|HwG6xuCAt-$zAr`H&CqWBbj z0l}droXA{0(6K$82-q`$B8`|}K*CN@?;`TiC`>l0X>Ox4;30x71uo|DB;`6u!W)go zXb@{UG@ot3qFGvAM|q*1-}~!S?OZ2LH)VpwiyJ!Pt2l4oCbYDOZ*wRyz&O-s==6g+ zZt{LGcNFXgj8_x!|uM{V(j2LovEokRvrIX5KM5WKg1~lVrOYGbAmaMTQ~PR zVNO$f5f98n|7my0K^-N7dR{D(#`?2^!(oG}?vjbYFtiIViL)#rs%fH-@OP6w0b`u- zHvh(-fVY{I@eH7as}!V}l!tO) zhr;R!&VcyqR=%8h%niQe22(Xr1<o;z@2GSOwYkmCY7U$w)0@54 z>%(G~xhTePcv!6RRID$rA2jvW;i?BW zmu_i(M2QeY7Y%zKr44`HElg!<-r2yAb>_~nSL%mq(WwrMITB=7EfxUy2twGjRQx>Ij>q%~ZVAOIpOQRLrcZI)sNN3y?Gq$zL z)g!0Ar&&)uYOc4=DMh46L%Gep+f73tLT7&v`o=$W7)wOncZ~sihpi<%5T}8M4ded5 z_{3Ktn0anRM}C+YF0l^q&bOM37{OUnjNny!wM+v669R94VH5~je_#z?Us<5l$_nZX zhz)%|I_O7k&~*<0_o_IA_o^u~5ULS?rvQqkj2O@W<^|R9P^Cj>DyKJBCS9llqM@hn zF;#>l0XWInjV{2a1J?E)Lkj2&HC`Nj=o(@4sH_oofQC8z4;93mI~=iI7#khgCi;4G zc6z#hdKSI<>5Fi7RF~ehy&keLdLMwWOV{fed2}b*JhPk-_>(QLTutA+f&T3F%)eFB z_1(bNd39F2qx0(f-9L^7MXmhvwK^c*3665}WC1 zt9@Dra5eD6dF$GTTuQ7Z`|TzHVvs3yYAaj=s^2Fh&4P3zlvJf!XOu9PA9Dq;hk=-` zC%|#zuy##%!P%xiGOFC9%QU;#bRB7eu?auBXK9STx6yVS!1PY}yED{J7d&XlE@wz8 zmm0ec$x7s)cBCOzDKffNoXvEYm-@G^FXha>G@YFhL+LhO>JTCsL$5AlfRyYXO2T`5 z%JexZw3#NTQ9e)N>?Z7R(KqBR>0kQkvs-$l`N5Ly9@kuFhF?eQm;m=LPlxxg%LLW{ zCF-Fw!mmU-T&-lCiCEY30xs&%f#a_b z)S4w%H48&oSj*;_rIvH5?41x9dES2z_On5lQ>xZqpNst7^SWW{ro|kG1IGPfb~2lE@C0 z?+PuPr7#%X8OxJfJ9MN>q=-g#r+=Hw`cB&TAjt9NyvJ}uM5LigpCT9YlZ0dbnot)X(=BAf{gZzYkyi(b?g#8Z{n>Uxv!xacL{FY{@t__<@`d zN{leCwz`x(MLzk8QurZ95C=Y?x8PuO0O_Vf%^swhJ=t~~Cl4FP(cvkuupjY2j(AwR zt(D{m+*Cb-m4-^jgfIsZ6RnKgS0x%~8G#N#7QWJUt=VZI@K%&}y8;ObedFSkgppmI zY__br=hBb(y?A*U?Yt=R8QjUsbVk*&>i;jNMO_1S=Ic1kZsWV%2Tl1YKmpX0k7>$J zPmUogpvy-m<#vO8`gOGP6pC-`u&RfR>+tmC2!hYYLmJqj9NGPE1PJ=2=pI%k^^n)w zw7HoPnleI!5;cq!Pkg#z9?*a^5Xpglk~tG9crdMlWdcV#6Nh}v>Ib5k6b91>6Wy@B zhI}yxjN)>JrCu<)Z#>OJb*HF!;nadv4;mR+#u-sX2Ks@oK3YHXlKFK59pQH$?~dYf zm9)(refe?vy8jMe4QP!H_aiZwLW0GAv0gdWtW6u$_E>ZnR$9`gpp;flin0K{ zVfaIRRV?D&P}SX)5NvX|gG|UCN;cON&oTNldt0kI$)Xh~8R1>bgtjWDQzx8c8QI)H z4D21B=`4Gb*R4^pExFyk-{+tXiTE~-j!y>e1Bhp{)UX?}E6cH{uc&Yf)L&F@aos4$ z=oo1x`iqw!HR4H6(M?HI~*#$JGS{qbkbfFHHC ztAi;{(2&@#VSrT7ax{EM$M~~m$JAP{j@3(B&}sB_!f<&9xT4lms*Ylg8yHwK&Mf^_ zJM%q~S3+9s(|8(?eNt#rsvi}_k427eRg1L~9(nlh=^19gQ0jwx!}IN~cPcHrIU# z*WU4b?297Ea+&5uR?Mw*K#6623uJ$bbvR>E+-6&ifUp065yT~MAp^~F5?^b;5FR$P zenYrL(?4FgPZ#P{;3!BJbqs9wdyVComPWgYN?};|Cq*`of3cxZ?S+!C;9?E2{IK2^ zs>O@KaJ`;nJ_$ec{Bd_l$q+9#?;^Lu=Z7kkNL$)>VET9RbAY zBocy4r=-}8b!ZrQ;d>6p9|Xa&d%4^fd;};5oh+AsH388dq|qSNCJnYi&P&*zCjG}@ ze}oD?Bsax%8fI{$stmiI08l`$ztKu?bt%;o0ghZ{7)=Tics3k&ar3$2hh(#@igne- zK%>41k=!Xy+|p_Y`h!gUskRF|RqxSc%~ekzU2INPhAHWd)b8z;>?KQ>>ZVG{o3vSe z)wrOQYs*mp7QfS@01;%}hs+PQ1o7=*9T;S4vU;Uu;B%Yxi;Vo*BCDQ-g)8uI-BIC( zw&XY`rakpj^>V_g%UBmg_mxnPyj-F~Os$w8UQO2*TtW`VrisSbj50|Zs23g*@hDtX zGzYq49T?@c%<9Dx5*`{Dni3;O`$Quy7PI<>&Sw3pOIiUrpHfW>s!I2tC0AI{3ooN# z8Mp)Amw0D&1aQ@(g8~Zjs_1omxBpt1uOQN8=e?_OWx&BhdmI%Gab&fg7&6I7UxY-6 zut!7y`_y%KCe6X?P(Nlqg;qeIXnzdnq zxTE7e9Kv8bTeZ#yG@VC(zFlIK5 z#B7v15))0|*}$ID<=G+p?`(|!j^TeN$MC77H_i~j{Cd_HD?w$+MVg;Wd)YqEqp!+|@od>IOT^gIfagSGZ z!?`eq?^X>ETuEDpo_&fn%w(ZHMhkUcxt=rmffWLO936v1>OXkE-~W%F`gpe>A2Y!&xInC3CcPh9wQdKW z@qPgIN%|3^W3SMxH=xZAOR95i6RJ&P25tws#LONMTz3|(H)DXOjOd!EB?g84Pj_X} z8LUZ-dJEN*8S2GVdofm{y39_4KUlt$4zRYUF~vMc<3y9bw^X9_8J@nrdt_aeYr*QY zK3((W-92}dtv#UL3|q7{XWlLnr|Nx;^LQ3x&`m9o(dqHws6n=M!2-m$ex{;H-zc*X z`+jce0075S&36A=J%t=#K9O^zMmX|j(d?#{!@16s@ZcI|jSCg6B2REYBL)s1jfjEz zP^%39E7(};0mwL*)F^0M**l}7<6R->7WLa$)G2$DP*AFf$jiEoH+f_WVRf*;M;Lr_k^Z1YpCAlO$i!Nrzyuicak8zmF^#9zlE z0DD6D@BiqBJ~k|y(KNQHTC7VF6yX6K zDXZlt>VF>%f3(|5`i&!sc79}sy%1EfEt5ntkXuX*Kq8LB)Iiu{(}Pf#Y}LmhY}>kz zj0z7t$`ijUW#GeK=IWk3jZUz<(C^DWaE*KjJosjpAL(fy9*x!0K0E?SiM~%;4PwL7 z)|YHIKZl}Z2U^(hxb-DlbpogKXec_#lQn4cbo9el>{rUm*s8CgURwA6u_OBU+(NRZ zF6B*&B$`;eyX)}3ZDM#LXC?5!s<|P)Z*^FtUhU(hMjE-3 z#8wh+)>$%lOg8UL7@Vue^HkTOovUL*H#Mk)b^KI)A*#^Gu5RIm!0)8!bN49G&i_@8 zay~CX(nr)~Qi~iAP_L6aZjGffge82APYShNs2iysd?&T&J#atb>+ZX{|Glj$id(eH z$43sA{z0>Z_`#xk0qC3qn%hwGEL{#Bj)@rIqQ^f5&a2{&wU-Whmc-~SVSB+_=4cN9 zgLu6Vs>H^X`UI4^nT_fc5c@fh?d*(CcZ1a8?D-07)3t7E&a^KdGRF;s=6~`D7igkr zlg%9G^O6t(q>75)I$>B421?2AwXSj95(hFZ2p|$8IlQI1O7gtA%Wi;A%ozS^w}s!e z@Pc!M2(#!3KoJtc_Gu}WGTBeEWEw0kk>#)IJhG~GMaBZu__2hrSjlT1lx0^*mcjvszD}>@Rn)H#nGN=2Q;|e1&cmAa%|U9QasMM^@(xp-p|iI&IjtIt*M0-Z$<> zpN&v#0((v6#A`Bs=6EQYOFT#@0D$}nl;}`1VHEa#X6B6|!Z$^o2=A(o-*f+0%|3}W zi>oxpbhcWDVH}IR0;d`TDqb>C|*SYVMh8%h( z^G5OI;JMh4fCwGFqL#RE{$ABd>DU2&s9`@8XrNH(6+T$$b~MUpSwD>&j`q_^%K*Gt zNIrJ7Qz1`R7{N_w$Y(~w@wNXNB~jXc4$RgazlN{7dKd4dBkg64bZscBTc&G6O>Iz! z`4Z2ANl7J>0bW7L{60$yv|i9c0G*LE*J}t{z>D_;uFH_&5zmSR`x{W>5*U%F<+GDV zXHgaxv5E1k!xKu?8u-69;w__%r^o1R`9j`{G>BPc_iAaVMa+?V_jaY0 z$XUieVc@kZ5dcjcGYP)bOoGJxuycL8Yh}uqdjS9&S^~x)i0IWBknAxD+x0iQL1`0R zZDA!&B9@c4fmi3zL-`O)ThlK$ zD6?`OZWyOWAC`==k01)bbVFMxx4&`IoT>Yn)~z+(+zhaK;e|!nYJhgvJTmTzp;ntZ zgX>tCt$pJ(4Ed0OZXB_qK{meQv}{&(zjPsi0}ropycYp_P6ID3NeCcR#Lllj4!r8- zNw^(zNROZYXVKu@K>e?~EJT9l-O16B0ghGbAWv?IcLqpkihQ@Zi~symU*)m0STGFK z8?{%T|Oa@~)j*Bk~QXGkNkjN*lQvC252jFL6PAr*BHy4*;CxCr4-Iy z0u|1s;z$sw1MV5-8Uo2PE47hftnz>=qmUjM2DK~UK(+09U{f+M)cwN;Kt}ncZG(2q%51YK`~5i5GPE=KXbz9uJ~uL2ZM9$YCxDQLiEJEex|aVQOiA1?oPB`&}KOU)bi0;!D$}vXsWC#V@?@ugWR*1K)`^~ zSz?*miu4A1n2>oLJV%4&g|giTp1`Ym^A?!)n8)P=S_Pfg>oSG$o+Rd-at=Q!DD0X7 zyvWt_Gu1K#=uYY|X+0AKVi{s9`s#T9U@tn}XYP;jzA~at_K%~Tll`Mz_<~aP|1Wyb zS|-dz>HdG*y<4m#OS&GUz4tjhV2}}#k>f{btP8_Xb$$(MZq?BOf z#0_1ZO0$GHxsguxD;MgkTM*QPA<17YZq+h0Y2H=f-ceknvUa%2WV(iOM6LM$jo`dat-C)m5#mtN)VY>qduPHU++#ov4mN}^YarT zt_o6}n^a!Bjo)*eEc~g=1|nVy(gbU!aub-!7Pr$ZHzB(juMf|pf-3!tOFD(T#wD3) z4uPA``AEA?VXQV_mu5d>600>B@3%;T9P!jUk!txYEsY}wd(iSs zaJ^v;e+qqJU?M?OxLBP?g>$4X{cQK=aP4Q7tM}&)iIQr{NtgDX+_$~=Y8yzbqsz5e z#8M2kKypgkIGrz5S;LDPWqE)6*UkfZOz zf5zcKhnE;0e8`u$Upt3g+By97bhc^Ks7s?pzqUr*{pFA9GXsijG69bjM0Efh4m*-s zDdG-H#cEFs;((GEvZi3i)J}j<5G|OsGjqU&7~T|N0&FB4A`7(e@d*xhHE_&!jY_B^ zLF`wiSs7Yee+lib1Cz);28@F`;m2bl*=UWVG0XDZKmW1*hS4z8>oguXYDsBRK1Wa- z#Lt;r#CT>7?FPZ;g2;f~-iPMZOI3LO6%VGTDf)x(KzdC^?CHNpCiOBJ)$^ylR~JD3 zt9mJOpph?69SpF_nk=8K-g}ET9)VM-rcwOPzwTDu{k7k1ArBJd(+ucSN1`vvDUj=1 zk0QZ8#i>Re7tVIi&ugM*RbgM=dl4F?ZD%+qA!oC3!^M(K3F?-IG}BJw@4F=L)-s*q z-Qb_4R+Dvzm6KB6k|IxtxCL{nMo~KU%UY~MY zY|;%d^E>66$VLB9c>7LkiaHeK6wW*0Pzb$LWsF$Nrs_?8T6lDPJvauI*Y(-chseJ7 zo9MHHs6P^Yc2HB)sM=@zPWS9He&vQf)4kfzZ_nwL-&o(-ep_Yoj>-$%vy;U8HFT7D zfnW{Ji`i7MaCtv)haE@#;i(vH$2DaES(!iF#HP7rN4CDTTHD`z96rEn6Ka=us?18i z!sF0m9q3UDdzsfnUMdQ0m|YU2JoKR8nj=!!(R~52uO(P*DwCXc1hG1wK4d8E zL=ZkZiTX#{zrC5KT3lk={t}PwFu&C*LCNA(Mi-gLmLJMNU;&s9yuQ6FI@z_3l10d@ z`{r|AMML&oSnC4K@o`?xX4-+q7VyKW^=mUxyo6Zqi=c0RGtZ{&-=rUNd<~%rIA`J4 zHUGL!R`CJ_qPm&AZV$QfzYd)-&QY1+Y&9L<_6EK&{JPN)cB7hj6xBjppRoz)Bo+N! z|2#53J9($tk!S7R*UdJsZ9tJO(?y&wZUH#f<2P_KrO8YAyPwGT)eDEJUFK3iOiz6c zBe+FNFUBW;2+jrvzu9}e7rn+1pdSaKGHPd-eG&#k5a#7mwjw|f=~`vbTQ@cs*nR?m zZ6}kk_xr46IE1Xik*4=Y&1vXLe3vk4U)RKW5&VSL4PmgBZ3i0$mzz#i8C98WYaqA- zeJouCmO&Tf8mtL)xJr92Npt;anf>oxnJT(m-Tyk@La)X+s8R?jB!)f`huhQ>A>)Ej zm5|vED}%7fouI`n!LRV`CqA-90&0*MIlPzGC}v1R20pDrPPN=hBwVAB6%>c7;lD=S zE(+9D6$0zHQ}{W;npK{X;hxj*vxtEIZ_^S79F@<6T8 z!?V3}b-X+t?TyZk2R#n4PAF{azPUeg@wODGTFSh5K$>vH18QJVNtb+Zbn;+mSSKJ6 zZ>B}<`pfkkVUrJ?pS6ITA1SSeNwT6IG>8iIh{Tx$G|M$e-B5)Ce=iZWs)?>VIMu4)Xz&U8AnYWFgUyA^Pp@rpE zT2oI9UclT5s=9fvm02lWbF!$kFw3O|P4*49=SGP383Pk-oC27#vI#y_$%c>A=8#M^ z4B@H4{E3@qG`INfr-y;J5Hm@ zu_kxqa3?Za$=Fi#dpc28rEbIyd!k`lmg~ zlFyRcXnGA3Cb`aT8EWxj|Dm1(cEy;fslKAEC%sJ2jNo-pAKxqQ@m$~d(B2qaC>YF! zkPSezdF_3ZE~7VbzATH0LA0Xe)-~)`6VL$QoR&%x9_#x)*Z0*eRkY@TqEfsR)RF3t ziL^7t+?Y^tIZbUrtgJ)R8v34S(b4$f?$?ESTptAeuo!H$1ZE5M;0ALC@^SjcrV>MA zC+UZ+5v*zC>`_lbR4UF_YGmmSo|ier)|BN(%3mL{?oBo$vTGpuhW=MWSe2pHv?)MQ zTZiG@|E2{~CD`0}ZG7C7)-kP7$h6Hma}e)Z9`kH7H|m(p8X7|6bX)a|twmbBck{I7 zLg#Pw4N?TT09k9oAnjl>L`7c}HA+!XI44@mHsG<)4j?Fq_F9$8rQm=$J&HaBdfQJU z{MYFacn{AE1*)UaI!!ON-pV-H+$4N>qYf}c8?JH^gU#2m`T8sHy11srgY!Zxv97Zn}gKB3a~eX{fhm3fD7X*)4TU4bNF)=i5O3n zs9jCbLvc4QmmN#%81!`#4(zU@q5M+L>+%M`Gf%Ue%nuCqeil7(LcM<2(#h77L7Qbf zO{(E5_^TS{3x`H+U?<=~XpWL~s>TbF1uAKIpAJ!^K$L2`m+2Cz`lBEFRN*2=*Uj6) zBsNE>;^;K`F3Z&@c%2ZBT&*Oof64-3|S;NPY`<>udWhHy9>!d z)@$h`08}WEjK2rl%RV2|ZC`xx;Ns%LCn?_jUnF^nJD|;~*MFmt2~2cywHSk!%rM|V zmeOLO4tLNSWuEm0Ew&%fmY}0fL#>_iFuMfGO4Tdr5X&rCA?%t~)I3_HlPkI05?Qg@ zd@!ji7K@$#gj;FBLs}b`(Rj1&(My4Dp<3@#V_fEB1^1)k$7^7n$+GEf5#jMy9nq#K zY4-pw9(9~w|M(?-#|yZxR~fQ!nM>T)_wWzagc*;=pQ_8_IM%a7S$>(CwV39WjPa{3 z(fiZ;bliy#7a319kF{sTHRE3RCKpk%ZpDlq`iG;UYL)tDXU1$-%)P zxgE4vQfnE?@Ok#+rJe*(h9y07NE>EXO2Unsc!Bvd#{YBgy79bfp$rd*LhJOSzBjOY~ca?Msn1U)9&gTprTRl3p>r@w2N;ni@ zs^GJY5sk;C6DAgX#7V$ASYaT26JM!kKon-2&1^=DvS5>n-w=PLrkL~DO=ch+g~lSQ z(|<3*&jn|2uT@MCW4^CiMeyhZ?+=}zcRUSWc4KapwcNc;Z~xRg?h(w(mr7PM>!7B; z0v&9NFbBBBZ3B&o6YY2nX8?%8rFaY_UW~O%A%IQ_`5DQqf;qTm7c$INY@Yz;?VU$g z5Qu`i2hniv1pj1`lPPYicYo{Srl6cTtZ-ni>B!?9Ufn}T@XV+$x^xBV8-PW&x?TF` z4$%XF!(grpRO<+xsRZA{5>1PE&HuZcYKqx8*fhT?RTovWOU()ot^LB>X!4!`hze9? z*!!NslaCp-5d(v~A z^KB+i4#Yp;xK?X6<3$_f(Hu{@IlTf8lr33@P|Mo-D%K8n8r9gf9?xN-Gcf5(xk5nt zfC)Xxr_2{0Z^^O-v$sM_B1uW!FtEV{mAf*mN@`Jx=M4ffJ>)(ZnFTT4E^jSmbL- zQq@14XB@VAz_$(04Uhb;_CVL`Dd*)(4VtRQArQfo{)VrmQz6elWK}p6B>kq~0z;x6 ztHW4K@^ZO5j~AEr4K5dOzQVJHT9mE?w}w?_?yI>us7L>}P5|A9PoD5x`MLT(M?^r4 zBb~{6dICT;H18>{2&({)`W97f^C^a~dz2n1?;7WaPMj<|;E3Phxlf$o-Uv2zvPK)8{onyJk(IN-~EaPLNeTVh1H1)`Phz@mhUj-4Hwdwv5ahHPR08W#cF-z5? zRxhX?x*dcp)Q1x_*_XG`LvX07*~<4ar=tW>m`j$CIs}#-o}V8^{gac;Tp7rfvy(pM zP%ILyViv=J9eH0_uA5vaX*;MHyai=;@t%m?LWw1<>V}`unW>edm(v$kV;M@fAP(V- zf}w(IrSX=4aGW6E<(8VDi3#;;3)mJ`VYW2F;IwC{M~ia2OgHj-g|BtzX!~6LMVhyh4 z3a(`D1^Ivr%`ZkYz(tixw~m^wr~ZpmuQgCME;sW`$TuMl@!<~P5g*}G_|M0hjQ04S z#xZUNgNz(HKa$I1sTu;HHw3HmF#JyK&&w=F6d@8(s`q@6+(eHcn0%8?uG;Mzbn2R= zak_*>ag!5{YqEg1yG&h1Os66IQrD?km_Ukslik1$U*Og&77TU%# z$utS0{*b}W-*KEi)%F*b(~x`8dm%v2`xt)7O>qT5-@!{>uF6nLXkqz^XI ziQKf%nkvQELp;!aH;aCeZ(K{-S&k<}_yE12hP2uq3uL&tR8v{?L@`&>d!dR?W7m><5DowJ{);}Y9+F)Vk$$}l8sl_}ZV~_`&*<{%jwSq01sj}1ZT+N+jvIG%2wL|CG zdVWhe-O=)TJ!sK9b5eIMzJ19~4L!QeOOEq$f=7`B;{DUW-j zkC7VUoonbm%X?zoY^&(kT0(wi9$`Ah9?isRcm9lssLG;ZjsKfv?E`wk`jQY`dBxl#@4Ao z^XO1xMkm{&Uf{?0K=fsek}&QAsM#ZPRtqmNvQBElNNY`+ig(Gf3gjfW0KaQ8e#!YL z2=`nDcy@RTtKvF^!wsXFE|XZ2jlu@gb8UtvzV{s3^yEo&adCk$wMx=zM11ihHifEW z@irI6gbQ3+TGBGMgMu-JJ3b!B<)fW|ofJpPw49W&WyqDR@yr;{T?6?S8%-M@aP<-``Aqzp9kPd&}!YZL3bQ{oTKfTMHa99M`Bh zIs&2h1UEsx1Ct)tsPN-z_?^2IFFW{;lc6lfB^xw8hS-6HiPhjzlLOoCP}3 z0mE4FqdeeiVf(oj3gh7HL6NX5bPkNi@32U(lBlCFHkf&)uL!GKx6D|POK zL+;+@sD4JwdjPFh3AZ(Su|1DWUQ(#E-XBxPSOpJsa>_v4Zv$}nPA-4zu)$(leKj>{ zi(7V5#gn6Ysnv^2L~!=cC*Uw6k{cTT_8=*x7bB$nBZk@kY$r7LwpT-XnM|fk0iO9U(ulNb(+2ks@wP1DM2Q0h$wU)-w z4+Xp5FzT7SZBV%BJ^v2=eh$om->G*|zdVK?9wT9)d&FW#|Kmz-x^}$Rwsw*&7V71r z{pgK4Ga=p((aGfCCK@Po`oDzsW+l76jb5OjmSWDR8i&MKnQ-b|#lftQ!?kkiEzygVBi*7#_hL&qQ|glcwx>nHZKKCpqH92TF+$Nf7*< zgoypFm-}FiiZkdXa88}#I2eA?WKv9WwF#(Gh+RROG&AZfV_k~japSpR7PD404i@bQ zp3YgmUX(kJ3qjdKTaEAXSp^HzdcK_8-V{>-z(c4AkyYRLJQ(W10`LMH`dbPp)WVVT z{C%yu>MFrM;kYMOI#`Z+g}n@k8wRb8z1^2B-j~%6qCc)|_=COZWvgPIy3I3uAZx3n zta5b`+3aAl%E}P>&l{MQNNx*6Ioys=#l!)Mugj-v7?a!T*^+?SK4(YgJw zwhGlj3-3bXDqd4bJJh@wf-Y*?xp-lOA@x9`IFU|Lh&A1ri5d02lazC6&#mBd!qY;N z^=sP$Irb$-9TsN9BsHMsWcM(bV%aIZve992_fP*_Fxr+Ga4k?t70gC)WlktFIs!lfCesO9$Gh&8##Cqg z)&Q)CX6YOcG9-GGA4g)*Gh7>c8eP;z3aS5T*#8%gmt+B-gsX7hJCeq82b z!W+OpqH(4U0%}`aYvN(mRhQ|ktdpV_2s-)_VcJvOe@@hYPJ1(fx4 zc$R|+>2o)d;&Wc1Tw09OODWsWPKW3Gi!v(SCBDo+^z-OytojT@25{`LYaP@D)=9og zzuCvtU;sSl_!eYTcADSnC>kA~K=ItN!%E8zWzqJ#FOyk}HAMZ3M*~ydS+vw;rK(re zH)O~xZ#?O0U2gW(8m0b+CI`jjJ#zZ`1{(!g{uY?g7Vwxpx%iU!x|h5P?{2_lVQ@ylMRri&<*LTk{wbV1&vc?bS87}DGzK~uj)XjgsOf7CmjJ?WK#u) zIZHlS;@0@q3GMo0V-?Lvwq?nqfSMB%p@ns3Vl!GY1hEVV+JKs5o&jPPX|rU)3YAYE zI*E-I`8=J?!Rw3F)F;_+>-1{*lW2&dsB2Gp7D`rM6_%x`Yi>%{t$tNq2MB56lWrp@ z!6QkoC{FI=kolM`x=j?GC(GER`MTL;RErF@|AFgX^l6K1O3{m_&&gle?u+*F(%AD& zi8-F%TQqShJezI_oD>zJ;PuNBIbWi@qJr#LCLKM~l9r>Eio%L5>Omx)Vh^Ptz(R+m z8n42aNakqeoL==7o09Jy<5Vw7fTpk1_?+k9!+@i);AK;*KM)O@yEJ045se687(#%m zG7$?p*o(fUaQQO6HH=I~q#aK+>e(WOzGm|#W2V;_{6)*9Y}-R>6vJGZ@yi`37 zmI4LUTAV&^dWRo2+09uJWpTCfHF-f{aTd z`J`Ri40=v5Q?kYe+A{wI*)oK1hO$5B+`KA-w@wtLeF@g6abmIFeiEpGT^zEhuE#l^ zYt0uOfp@nh$|*A*aX9zOD>5H{YO@+c>5pL?vmxSFzxQ+!817JHZmrm7WdoGL%BAsl z5p%wtuBdzJY9#eBk&^rzkXgdN^**bwYnMj% z{9aWZ@r_ef5>dWCPzM-QIu7Z7w}~!ar8fUwE}=6SY7FMj^`tG*-BZ~{#bzpJ z|8YgF6;`P~rQ?jS7SSKZjod3T*Iif4)vlus;SOKhD1zIxgU}0LPC+{lmpT4(#6b`) zY49FI%uQr$_hCeKV~=yQfPY|0HmQW>vy`Bhf&y~PSE9`>SFx))=teOVqi5hcKMG zD-Fn#8DsVBVM4x0%idoV*PPhoE)hCgMS|@<43z}u#lRJJ=<+^rlA*pKN5`B zl5T&NWV1YmWF(~IL9m2@1{6267eFrgYc&z((RXV71A)_Pkbi(n-(nt48jIGU8wTT_ z25F7HW^@;Uqb)%3&&@W%Icob=PpkoleysJL7Fnz;^#o{>20m{r(_P5Y>J9){fGUW) z=PF&V!%BrDScJH5b=;lRcX0xGfZ+LnDKw4L@n^37OC41nM1`0)&TT?Tuj(Kv9t4&3 zOoCsBgbmH6TvKt`!phdN-md#UG>qOv|*O%3>0eUMK)kW?zL?gN`cX6TOP4XLD zw?#Z=@fd6i?*>lvL%>t4<9v6t4M;}P*i{((|JWxXO`VX64ko?7j=snMFRbc#C0Kv2 zRqG7xuOC+8W16PMb^}V*{po4(xKcbPbxJ%HzmD3wu;SclUPzEfSNML)J54!#LVSnw z3ye5Vn;4IA;Z>USLvX_Q`vAmQdM?nknoOuGa=LS!BuxE>4E`mokFZC3-xi9 zkvcL1w;*Wq9G~qS{RnuR)CoxS+YFcx`qM#lG~7G+QE$+ZxBu>MRK2FtDloInQQE@$ zCjF**M}{ApeW$Hta!sgQZlsSY4&hV{9ii_PtvW+P_^-OsJa4H3d}GgP*jFkK|Jp%W zMKaXpn=aKrNu&Pdf)Sm6=VNK{qK!qu#4t%IQ0eq=sscNpX#dW2=pJ=m$KU1Lt7dk#}oPFe; zLC2%`b@vb)Gq_GrZwL&H+b^~a^jg%H+Ku!tLSPsY!7iOnq3m^fvJYtvAl{;8 zUlFOH1X&7GGR+5E?ykL?8frxAp)+_-86!q~@Drm;hH7O|?^Ye&tiBEG_qexC-4?2) zAEhCQ23|J+0h(iAL5QbsN{pZNu|V~$OhHJT1HV8AnP007Q8%f<|4-uJhl8Ef5)U&@ zj>~j06?{g>YY*4d0syf!eZ7_ki8yI-AMlWno;|>!24sz>Q23wi9Yi|cUj}yq2QA&A z#*_oK{mj%^0m3cIfpr|@wDJMn&ruoaHwJdB{q=o598yMYwEZ()4i0xOf+Qs6|b3?FssOqp&AwIaqg*AX~k)g;2;&MjCpDsWP$rR#2E`bg25)q zH6*KC_0Lim)&AI_J5VsSB)Tv4SM;x^(sHGXHr2-<8_9--K!Ju&i%6I=Ma@KCt zf>a=Lawv6A!%OlQm}&T46aqy_qjpxkB)v$b@%fVT+a1=oo6<^2c zf?;*o=+Wh}p~0i47r#x7%~$cPse8W$R+Y&)_wy=_p2bPJfFs4LRs3x5+w>}nTkvc) zcK&m`<+tk#B>6h(U)^AXKgUFVB5a(J%M`(RQUCK-F9!jLx0t*@O-f)ue566O>PD^M zz)tyH!~0ORi{v_46dDGJ&ly9jRuL+e{%?2|EF3CZ5AQk9^~4`EA=uz zdO!Q3T+I+eS$(%ynFH!Pkw#;prpl+;m4^n^!HdU1(p&FctPq5S@FI&H-Denul0{HQ zkle9&9buW`Y=^@%hU837s4>(Elie5twGm+%qkUCZy5LH*DK^|-fA)_s_R zeq*l|&R`AU8t15j*S4f;vYr)d zx4eKJNMKs>)-d)O>GYC+RVQ{;@9MS#iqCn6kODz~hx|>sxQ&KqJE)P}3z3QVwHSNi zMU5@tU`zzo!@Sxu?eH?xekaWa81rKN9gNX#22t;=Jy!jyR7VY=44{_hx6yUFx?O!oD7HH!rEk$HL!-B9E~*U7!R}s@ldR0Wo$tqbfuf-G>#_}q+iXzgN0-F zi$)vzyBCih>hM`*fK>9l+`NhH2y|K{tE#yRVeK3@`+?qFeH)Ttn-F=6&oJR11U+gN zfnl=Ij3l+ejK;`blrktfKK3yawtjeQxV5F z+5^_?14G-?^a>?6Yld?52)S)GX`v)K@MFt38^n4N*9q zcPM^7#oTApp_gT{pcHV*lAozBv`ANpMoxn{1%cyDSftWv5N=Z@4lP25GFypuHK#}? zx)(TOxfS4}auXytvkz|eIxB1eR*(*=FVzS{;TrX6djm4fQL!;eHf`~L(BA8!5o1wW zoM{?zK>SoKL~-=IT&|Vb|Ma1rJdo43dvF?n`BI9Ud$tc$eeuCWq(Twyt^j%b+O?c{^5me-aoh)F-Zahg((8O>ULh2q&dDN6auL z=wpUJya2M0TV;wZd0vLWSLq52PoR>ErrCU=4lCDok{(8US=YnK3UFM*OtyIvPnB`H zEas}usV{~js+$5Q z$-)TzgybWOo_5+G9i}Osn$8^?{_pvna8BqX@%%TGobD%vc4Y-XQ)@RsK>j9PA^-Sr zB&6ZnnF0Eu16xP|#1>~VK5zCH08=Hdah%ozVx%+4?7Zn2baFI20BX8()qB}ypbo^E z7v(bv2S5{fCwioQ)%hvXZboxPWW@6;g2ugLmGn)>RxpIEope!=8CoSPejT;~c zaWm1rKR^ov(3$}cK7u&iZ2%bfT9^JdUG-W#gXV9H&e1=A)_ZTpm`(%$+77@E-(%hi zU;sftzQ1k;Q-LY9V9pGxLcKyN-R>2KN2ti)kxH}b`jNMiUl)63vrw~lblNbr1?!+c z%h@p^`5|a!a}~oJ_LiQY&fGOw?AUpl)Vq$+47f&dC2OItar*y#c)u##06+S~4>dUO zggE-m` zGSqOU*6^Wn3)RM>tbTo~e*~#>TaC`xZFOkSCLnp!p+0e6=gJPaG9wz}Q4(yyR6woh z1bqR!mMrvZ9hOn8135LwW{2}dXuv)Kjp1S*@vU+MP~AO9{9dWWR*ryI*)m?y`O7BL z_GW+`R$DmNK2CFp)Gb(B`B^Z01M(kmU&RNCc~QGIRf^vhQW(+Igr>*sj`3XWqcdxV zWoQY7VmRxPn<)%Jbvy!CGaL(wd75K4-TiZp_LmzUBw;TJyRmep4On|!@!?SY=Ro~u z#CWUAMbIN2tCQIZQealmQ@t;-&Q}`(+rHx@qP##D3h`nFrv}v}%XKof`a>TKuVkHU z37njJb zPDscc)3sM6C8<1$Cs(i}F$rXRnQU$cZJx@y+|@dUgD#&+O}K0g4T09&=JBK~Xe|DR z46;Nc>?=3#(Zul1y~3fu*+;)liOFI-vB2~qV**`n zhN0f`{oss`==i(IU{x)FMT~!u7TIt_h#jPwFyBVr%`Btpd&ir3uQj9WTJ1z-Qdkkg zYt2-qCO_)dY*GTZF44=U)&R^Y5+h4ZY+4C#(qfwFG^KTMJDFz@%GfPH9Za2`u@?ND zf1X16VYWsGbAg}{FO?4*?F;a!jg!p{kV$}mk1_D^Ye+Y_8d~w>RvFMyT4Y4rY>3}y zD+~xAj|E)^JXOm_#&&_eqF#3lJd=y`QhkClSMP|a^5p2neIN7BNDL05jJr%JXUri` zZc&5D7(<#xgAlHyABx}7&})E!oic}NL2oSbm+(_9vKfU`2-Kq&<1D}0(F;wMO(`@= zc7-(fMADUK`Wa^YpsT>JJ_VE@wPYg9z)8BOMv3_X97{KpeqgpNtlHr(w>7!SYa2o$ zb6E>PRZ*!3E+TC#$|tM{Xq)C-|7D)BBA(THgqWRM9p0*X1NLd%q(J-|Zv*goA|(lG z-ogCrW_S9<-Kaa9{%J0C1=fz+^_4?gO~)I5G<_d1z4F?s?*1wcCuu!ap<_VHTvSZP z5O+#eFlU)X(%>RrM0Cl}C16=CNu^cajy=grq>NKTTdC}hgi^oIo=ID(aoS%}^oGcZ zc%N!681@$`_c{LS0~PC`h#GrfEAmK0PMF*UzwqjOf?M0lR8wmo$q!wcSYQXB)ND}$ zrj6ucA#^JW11pI6=~FUMcY77b&@xs#5b%+xk^T1*PS!y=RL3@<9D>W^#PGociC+Nv zfYDco{tLJum1v_->;x?)*{0ETNDuaadkXHgoKRLD_qHm(MRzbR#=0eDx!TAb80DJ` z7R?Ip3OARo`mfz)*kCE(%BU+A-5gsK3i-j{t28w3#_}f72jEM`katgwk6rky=YuI^ z&Ew=U!_N|LwC2ITjHBY46?EA2L4?vOud*8`C3y=a3rB1qL&^Ae1Bu2iB-=%*diWGy zWx-Q4&2FfI+7q?8qiREAb%=aGN1;Hf*7#u!%sJ}cM4yok-$MPP>Ux!KS1Xp=yV+kv z-{Y^p1eH4am(b^nj*!m#U~9LsONk5)(8dW=>lwv8QbKmSQaEY1tDVfv?BJUwEx|_0 z)j$48Q$n>Bo$#E69<{GS>Z@^h=t}e#O3Cv3My=vQ?ZC8EHR}eveD*N<8d3sz0Iq$B zSDO{qK%Vu@-s`rLa+`D}gLJ+OT2$At(ZN~N2hmC0pdp0Ip}*1RqQ5}A#9%IP zuTAZ4&u1%ea=@|zoM3t9&vEzneq!`Ct+o>IXjImO3rLkvgK_s!vU(T28XX>}WkQ_^ z^(k^kun<}`5xMf4G?wSR0VB##?9HbnJ|sL6S}3gOm*{(?x|ucq(3f0C+J*a}Fk7a~ zt*0hSzH#;xejh)KfVU_UNp-m8S6a<7jI_k7@-m)mO2>aldOdm_fTWClv^NA=&4c{e zUB`j30sVRytcE_FDq5{N5*ea~t*L}L>o z$g{E5YPFq%E@t!***q#ZqD+KOJa_Jf<)JwjixRQCDs4ZsSLyW3d(?@inrR;2G}cC@ z<4V)F#*pvUrLw#K{38imd+iAsh-Fi_n1|=*XS?U;(Tgvh*C9mm$(%?SZe6nlG`cZ< z7$)>@mLh1=v3ZK-EXCb%nv&_|dD1W=PI zIP?dw*Q)}GQkhk6(J0Z+`T&G3DlumF0TcTWWn2%Sb?R>zay#%Fg;91u1kzKDfiL>M zd~z>_7>B6l*PmHbStfc;zK#0cBGYDIl!pu?h#l+jOHYI3@qTuCVGZZvq8rssvxgUcV(CRCsk>@2tthR z{-IBNW^bYm#`FoDY>2se7u9d0g#fvMgBh<6CqK6eY*eQt-yg0~;rgz+G(?2pgGjcpC*6`IX}@6X2hs({ z59Zfsb?TsyTH!H6rhoUBKJwR3NiY#d7O-d*IIFwYOuMmioMMhDixZgOK5s^GcU(BQ zx$m)V1WVXz*$9?Un>Vi~th+wwwV|=tyZ*;b{#A{ZuFaSE{Zh@u;qf*eY|sEPNN}Om znk!4D=moN8F8$+(yUlwhv_4aaUo35#I;EJDh{Af2Qb611(Iii%slizwBvaj0@xf4R zy}(=x7xY|*egdB|9Fc~D-mgPHvk8`Mg5HG2cIHbc83VE7gyOyXA8?{OXUQV;saG1m zmzOiuW#tM6oh1bOd^KAThKY=VC`KunO$eb)SM0jdDp7Zj9Q-Fw_Af5>UBzM23rB*t zs93}Wxa8O)iC#U(6~IYB`>@d_4^t7yTAh?(HvtDbCEeWa8$7L(QHCjCEsl0p7}3NV zjxpxbAo%@#_gC&A$T&PdKi?f492^KQM)R7klPc_Y@q8P7kb&l#1{NUh;rZK63inFV zXjj3gE=2fg=tg1Ykixi9eD?(^NRcfb1jIjC{jHDVXQdAn85i7T^fqJIH_T>*MA7!7L} zOyb2v->7w?L?&gE>2NprxFs9IL^IKf)>O zaCmaEJ0zyh-I04Js|YU`Kd@d(CHrWy;`28zq@a3|=B#e3XLexOh3LWH`;|uNB~gn%tBMk^s8Fq#t7TED#mLgDnT1z+cfnFMV`WK^euVyDMF)pmxRLh?TD8i%u*|69Q zG=JP;$wBFoA)BjA9X1_f`g7uI-Cbz%S0{>%Md$$c;+9@!BjA}{R}g#XssI63W+Zk1 zaW<_0KQt_F05@His|f=@J%J2pOi(xhTc%2Uq^5zI7ZHWiqrN()z+Cb|W)KkPH>H81 zW)ios##;MDd2oJq0{=Ze$Nx_L;iwZwsG8= zdAW>lOLZomDS_0I#||3w^{^cW`6Akf=X zM-QQKtjk;^$+SQM5%r;Q!5oh#gm%U6{x>W1&OuC9$S-OnZ;eH6{C}P$>*wfRTtrXQ zhWo@}8&~EhoawZtfQFfLMx%80;^-0C2*zoofj}EbJR~A(WSr+HoujO&{Spa#2w|c# zforiQr&0f0Z6V7-%7h zK$kPlt5!i6P$OH8k9SAYJgzEHJ#`m2#=^&d8LCR{3TEZCZsyHNZ?>(WZLg2jf(SI?OU$JPwFdbtzd2T8BpJ zQCY;ZRHE{h2FaTC*aaS%eZW7Nh`cBXxJZj}ta@?>(pwU>t)dQ~w|TylQc`9c6+!@x zrUE$6R}TMJOrQit_UO7@!71YGOVGR|t9x=Ajq?~|We*Txt5-i&7u3%}X}D>}Z}q)J z-H{TexW}$ru<^@jLIB()i2zWPRz_EW-Ab;EtTx~hoPPQj)iQcX=T*Lr--5odeiNRJ z!d1X`*Gp$?(G)<2nQ9~a%aZ?EsDaNsEKS4Sk9r+xgkjlKugu9b?n~3MuG+9jHPS>| zTp#j%*>9)n;qJxSUnCpT-R6dA!jQP4RecwdE^_sOmZ*`+H-jy{Max8I*YQJj#~tvJ@zYi2B7YIC$=-(K?X4jFy15mFE1Rf| zc8;H{&0a#231U;UbvCvUB-th{8y#IyACBhpN|JUxzYn|wZk1l@HhG;vJ`-F&Es5KX zznW6Afu;zoscB6jH_p#cGPn1+{M>D;NOpMG3#UKK>KHUcj&{4-P|#=OK!0%ek5gu0 zns6xnMJ=r&cOG%>`_`=29k6l?!(NFTnZqzD;Q72&$=)j%doZ4nhTm+KtCQ}=K&P%T z*;|dfMKUu!LoCPTHt@XOspfz4o!(z#!`UmY{~p9(gn zQdffNUV(Sn;w=E|8mg1u;RmSn?hh&v`H=L3ADORbY~L~rFLy8|N5IMyIPc+rJcd?DGXV#4*s~`+O?G z#=ahyeXlw&>voD*vP6$5r;Z&*N+lSg97^&WCm6BjHtVAA{-A<-v;)l-h~b{tS5}HT zE&v&B>yn{6Z$B~*bzeW=0A;GGI%bzhG^?{+s5dHe8|;Ikru7 zj=%_eby-J|Y;@|8BKbUo1g=j+1keZs=Bts!c1jMxi@ejqip+zx!0ZOvF$U(1M zuY^>cTGk-TcGc2|Y2q{^%k7gCX6e`_aOH+`yhw~3SiAA2!m4eapPU&|kJT!+rz>b3 z0(eBuK8(>gpJnR5*D?9>YT`M5c*W8M!0=$YzZ&sK=$7%V6pp+EXcUGa>FnzUZ2{N@ zcZCnaIY1NhjOIkHX2Wi_+Nb}$yo3?>U$>-eNOu}55ei^t^PcN5(ln zh8YJ)JIP=xZ3!9sd#iyppx%^SeQ(QHv!AL7l9^cx47E9uvS!Pwn<=fsWC?IbEaG;c zF()+JGC;B=>lB@9?Bn5^B7mlDQxTx`l3YXUrfG~hZ)R8HzqjeTTAtv=!f?SXmyC3B zR2Od?)y4OyYnG!j%uL6m$4&?G?gP-G<#>@Sbrnts(8sm8#SS^XRNSCDJYrOd~r%{JNfrqu&qv3bJBvh7N z2~sW{PqlxYvJpy|_VNb0RO_o5)RZB8BwsG<-;SG8E5o#;*syIsO~&OWWbhk*J2@lW zDj?%Tt+T6&@ufD8UD`$n!9Ja;8!2=n zgqZdkDA)tpU}$90aMt9eh`-oK?DPt1TcIcfQ(6|>0Xs0ptkonBIgA=|q2)F+^-q4h{RgwMCrOSaS;A@EGhfGr z`ZNV-ROXTfYEH$D+SeI_!86&8beX$_I3uzmX>5xd%55@$~koDDy>+>CeIdh_?{~3 z*r-*IYI2a3a$B`!Tu2{uC8yk`$|^%;=gPSFbjma|#P{>1=Ie|ln-1JjI41&w%Hd)( zd+JY|bQ6(mYR4a^JOrHFzOqqK=o=lQOg3x+&$R5Ct z^xXbjzqr3YZL&4>AyVCPzfo^tasc(OOVIigHTCynSN?bt#n*AVfM*y^LO{UBaXwZv zXqskk;V_!82f5HhzTiNobW(00op|A!T&0VQ&g}i!{?&5O$R=yo6R)v`<Fg zD)Xr03b;?UVcm)vMvyvICfSxN9jy!;u$Ao-K{FSmf+J1LCAzyE#)yK>HPiGuMTK^A zdI6g))B34J06xhJc_B33CRexW2((<96}m3=Ef;SG+ifBpb-5`l2ztV5U z5E_G$gQ06Mz=o0D-qd8-)Zv1M4~|ZNcyFjD^U;YO?E?`|HI1++UXG~3=cB-rMt2w` zF7sf39-IVNeGcWLJ&3YI4^5n^x2rZ7J7aJj!1&KW#e7#C;TP%(%s6G)#cEjoJDqrb zfCOdt;$rv7lj=^C7HLi1GhQ-5y`W@7E!U`tLkB&?T&ZF9vDBfx9Y-DvJ~j85IgS+7 z#`Oxxz9>*q;b-Rp0V8#@vt`f%w-_1;z42ciWFGN=2d|O4t_>t)W7CncO{~(krw=V{ zoR{=4o+JCt32e|42j|U3O~rhLO76$M9x9>^ZuH%X{M~4GNNedo)0L3sgMmV-G6Dk7 z&$ZZKcqJR#9EC=wfiwooHWHey9pl94eLxezOv16z5T-nF&o{(@`te1 z9u7^ud!EEsKCKB;M04g3!G_^Ji3IZkLt(lXkk7@~_T9gNff!_P6;M;>e8vac0MhEq zm9nY$XsV0AlP;vsj)D9kF?7W*)p*EuqGwsW6Ftt-eb}5{iD)7h3Q+?SiW)x8d`9Kzj-auQZKR0aPTYAD{nbu#IwI20{$4BU`D?Q)!{U4GE){9Pw2Slp{g7}g9# zzK}NzNzWpFBI?K3hj8z@1SJZX`7O0I=18oQY>f%R>afK2P-R@A0v)bMJXM-lp8g24 zJki0?8h2kIK2&mba^z{wr(1yOvJoAX&asO~!pse9fEsPk+&BRH&$bqk>G zg)Ge`Xr!=PypMBtgL6Jvrv)pp(7;85o`3byy?d|UeqQ-Vhi?xK?GWQK4tJu@xrjq~ z(j4bmJe|ZuL@CDvS7-vM=EiCaO?c0pv%IBykKO>T7{q3*$8%LUd>j<4zRA3U`wCuQ z)zeaxjtvD8;mj1F23nEAm=VMzMWB+%-0Mbr`}$&24Cox~WkDR(3BmnfEoPX*|h6-PV4` z3Fei?E80{YHF}Q(S%){6vmnIC7(x;Yg2ye$9l2B7qO<}`wM`;bGQ{ng$2T<(5{$I| zQ95ykpGCHS`bQ}^f0^Z>H7pdl_sXcji?*;Hd-W6(BT7~jh`VVuOT_}gzk ze1v6FqsdcX6?Y1kuL&9PS;Q?g{fwHyq9pvpk)K;qN#=34^~{nFE)@ne7);+ZKL9 zqwZ%y9}QLG+et}4S(^=iG}l?o%Z=7DX4mBkX1Ij(Yr)lEG?pKb;n?Ac`4x8BUwyJY z6Lo9G3p}T>V_+7F9IsGhWd#Q;sNGVE5<1Lx&`Yq9Ry?i!N_OH?~w0!|7CQN*fqoCj*Zz zCUOrp-&!n$e{OPAzDsd-k2gQwVC)`n_-Ci*r@bwF>bT*>94GLtHm=|pL=iPh>@fs!?Yh%ICE@_T)9l z6h>DVpm5Zg%mvd3>DJ)XzXf7qYeD5@F~?O2`HE-6KjxHJr#%D@&;jBe%te@89CXA86p}CLXtA1B!%rkan0oz(m=|sr2KMAM!bJgt8 zn`Gbs(H^}?wkw(4`bd5NT6sXUNm{W$36S7Fi%kjcJe?7uK7TV|X&+eCVUSKC-8`K* z+2#5R6hMel8X3x1eTgh**W5!lRoz^(M*{JFMs7#5vd_TZu!3Q~o0qf+(KQO~Vc4Yy zQfKNPyO$+W*P)*xPZp^f2EethM$Uo;{y=Mpr3==$n53%nl+lnafwmAYL@d*WNc2m@ z58_)w>3A?I^L18;q>i0vxH~-HGq*al2LqJc?P{37Ey+}Snz?Y9x&4Rkp`-?O>F&X( zUJbrgI8ErLeRx*tPJS(iq1vDm=jlRCorM~garAU?i(Ueb5r5?bja|B)QN;;@U88v@ z^jf8&vIdyPE%Sia(91$)1&lQk3H4+i02F=c=~+MxHwdR z1v3PxG{XwUw@LUZm$OKXP)t)oA8R|hfXZmW76cFt^c)L-u3#dod%VXgU;#Huqt$go zmEQfBeExzRniz=9cyPBQuu-Cyj~>!pZ9w~$oYpEsv>`^8Y{+$7?iG6G0Bx&J2i`dqyz9@@k-flIEVkS_VXMbWdZQCt1Kf#6Xof2)}FxN>n=>R z`V;C`AQTx;!M`fgYtWh7gt@cisfH?sQw^34JTYwggwt$2wKokhku=ny!u63!st>t^GT2`CvPFK~bZ;j}94#;sA$(82y$KCnH$7Q;hN-!OS zXyF_*1^KaW1^RXJ;dgId?u_6g_2(*z9e(K0d?n|{0p z9u<-%Y57j-y)TnwQwbmgV+5oD+o=G|Zj|oLX1)ku*BAs?a{qEeut>u^#emmEmgPn0 z{7YB#C$U}9ya#CZvY)f*=zwilt$dM$K7J>|^6tNHC&RXBc@>470PFSF2HzZdyq59V zvxz*~XOr2sH$3Ticxt(2*8mXC&T7GOA`h#P|JqVoS2`iUc3tTN=kfRKgwwtAd-TB& z`3YM)!QrrI=AN_^*uXhL`#_%EOdIncUCKV{#5%hh_JVc-ZFpf1AFg+%yMGaJP#*I| zNNd$Zc~+0sCI1f`m`T40(ee>x%F2+ zVdjsaaj4_jgdIzZc#$nxBeBu~x=IN%MT5fLL&kFNhLWWrHCks(ucaI$`E@bPzquLm zo*%R^YJUYVWNmlgJK{HVAt7zPzF7ELN-b=3Uf( z_QgB?7N&}6ve=jyl>M2LYEqG*6Hnj76PDnH<`fNBZm#b_*T;`2J9lbX3{B8aSBr$6 zlS#Qw1xIboyVFMpBUqhYP}Z(oO}FR)*ez)Q@Y^5=kIyQ)xq1UcZva1GX-{<0x@n>_ zv0;VUwYf?7vV{|&JW`gFle|Q-ziM>-?2~(ipw4y=&ZEZ|JcW*V9IIiGT3lxhygHO8 zX$hwr(ba}_I;1;Y8-l8jJ!zf;^AK#gH`Zd9cth^n}E_UDykd)akr6) zM2{qO7M=jXB4jzEaLy`L1Nr!*8a}L{_I6eU!AOEpT^o=%nYVFP(LNDOy3o|W8 zBL_RIP&;mVy*)4MTsh&3F~>-{CVA6!?8`aEzSv5_$$vk0ygdn>yeh<&-a4hex{kXW zeUrQY+u;v2+qRpx&wQM{Lde9ol81Wyo)w?DCix6TN|@-gj!BFxh!0;Ahi_M zk?S;%D_qhZ?baT~9`zq};YoaiT-L%WUFk^NYg*}TK08dKb)L;w);!q#dKIx?95Puo zd`HI`SMcrx_);U_FE;@^Jo^plEX;s=f1aX>>{dXpr%i6_>})HAY8`nCJCKae)RQzRY#vi%lUv%W&|ushD>N zv|XV`dQZ0;svVWenmwj=7M(@$I!_m%|3q-qf3G5+CKl`vHw;m;bxJBVDW%Rq$D@ha z(IOIfLW>|OOv|IXV_Phqz~B9_oG$9j6n$@ptdoAqKlP+$+M$s4`=F9(KgG2QWpAb~ z8Y!1ttp@d&ZjvPqTzX_Lddf!aYl@zdl!11CpN(+K5ws|R!_3@u3TQ!fGvh=JixX-z zg&@D!2-Up|Hzg@CFF$Ur9>mN^&8mVF2i7`U5PCJSLjg+l(PeZW?gTR;3LC@ zv9jI`tqcnAPzl!Q2tm0rM^aeueOcf#-AJpPFvN za_&XS23rOJw|S?Utt-BtDDJlJ)Ed(Z6EC*K_cpBzRNL=N8ju<~S%%zThgPSMIEM0? zgT*BA1U?DZy@epIS;%&xQ}y4Y!PW}7^fEFHg-B3^lAI+zy`PF)(3W>4-NGtva!cz#I7hUd5(hdzJoc}0RAxo?wI@~(tXis3%1 z_|Wc0r50vo+m7I^iauVs&k~QCE}@Z6ZR0+PNaywke`uaFpg6-F#N|7Kq%=Wo29CwT zt1#eZA|5lnoAPO{_h}DqyiDJcw-JNT*NJwQ>w)ztWi#EC6&ijTnSm3eX7kcchKfC* zO?KftI*i^Zs~ic)Z8AxttWQPGN83~@WZxvg<5&~%njAv*( zRJ+?F}}&8|iQ0$EfId%d4=+#m(vgpu^| zvQDI-MxVjhCJn?(frRN@i0aYJ{+Zmd+<*=@^$ob;fr%)-Wpwm}Q|y{@rgaV<-p#^k z_8c&o$ICTjaY3qsh4fz~px%nQgz;i(+zpd7pOlthu@Y~h7ODTf;t*}UWSb^~j)75n zg-@yvZt8LMaGnJ-mEFLJ=*!2r485j|V#klh3r}W)s>@_Ch6x1vV%I5T7p8H~J?wmr zO&2~M*XD+Wb{8#$?+-Plc=hb_OF!)$T#h}%X}Y4!7kTuV=4$9rKH`mpbm?NIsp{r8 z*?d)0Bz3+D!P3>k=D<;>`lr8&`bLXLEp&Mdb0_6zaqRuG6+l}MV#?wW8>!9#0K<};W*;0%znRz8(;*DchHUqg>BqCZ~f(aoL=U@jbHkw}YI>5wb`q2H>OWkb) zH#};Bv_>jPc2(5Z?wPszpv40(K&$K_)}wMFtR~xky1G>T`6Qi2FS1Sa6mfcW_8C^N zqvN?dHkf-ibCQfIO#4E)3Wair+ky9)3rq1Zs-DMaEPm)t!_ zwGBO>CB5<26oD|j!I?$P$tst(>ba-qG1?U-S3HGpC5-H)_%ez9GBJM{)DccD!TiTn z@87_o#$F|a6SHiWJTM9=n3YyIP#e10KK<+#F`Hb^ zX)RMFD1)qFh#1;UHR~>QzArBu+CJk;R`w!~3nb~AEX=+QvmmsSW#t$=6MR`jGnP>? z$8D|`aGY6^co70uR-bCc)PWW3z#0eBaB=JD7*eVtnZ?W4zPUR0#1T+5Z;14K2v!L| z!HV)KyQZIdgAnS83`&18YNspCS54Scgs_$z*h7?uy%lkYs}^-5hi4v`TaT2@a-yj( z?mosLO7tRC_XE?8gmb1LiR=~T;C%rEvbWLWY{iG)I){v(g&8K3@z`GMxzXwtB0dKR zUL04knM*OUQv#RjbfN|QGUR=6B71^brJ|PPIuYy|O&}DLAPbQsH!=rXXP^9Henza7 z&!iY#TBD(92fG^Q@Rs{go-Kh^8Ft-8s^3YOFjq3OP>Ox&YkqeIzRcY}_{oQXX|#D~ z?~(Loj*5;Ck_Fi-&coWwu7kbdQPe*LA*k&=t|U&{U9tKb;DL{ zU&OX%%rjQ+VinUc13^xYE6i+=lNn)4FU%R~G3zKl)6ll}#Buz<4q7!(*g<R-aj zA&Qwds;iu%1Y5PzK#9pL&>z-xahP?D<+;J+MXx6B(75dHqY_H(QeZlTnG?_|&=0h@ z!~P!!!TSo#Al+*}ft&LIS&`U)GhL^g(0 zhqE~TJQ)D0Fj+JjW47< ziYpSz2xw77$cJs(nAjX~_jP9_6|80n6z!Zl zo>p^uD^hp$&Kzbll0@Gw-rl3FY@k07XRvsg)}K8Lc{r?L{sCkTOAdM{^L4U;Ui4N@ ze>E1TlghyMjwp?KO4fBagFGx{yT|2hzEa=&w(%HaV*ad~%@jRcGw+8GQBog%6^lp` zF?dwRfKHi1OWyc8T#c?m-4P|ZT7*)yq^tR}i6dZ1Nt=#0&e98~6jq&RKhN|E@{r>; z*8=gvqYEEl$glmcRe@G7LLjUApsFsmgA@C>qpb-Dl$m<0>^7^MT$iX~F5CxKb@85X z;P-va^S$$^e`5Rx#yWj*58M^SoL!sp%er-{6^K=vao9DuKhm}%srKCcA9TLH6iV`X z_n@`dg#^EbBzq3y1Dv!3q9o>MY&Lppa&BywiBL}35p3-r*DFyQ4((JTHjtuI=(O~f zN_=ZwcnM{b-FWE}44>2y9u6^Bavo)qO-7slfzCyt_(+f^k|HNTUq{~MMXjX`ldz3qTxK;$4-Oqs1_&3a*L*(kBd6(`^lTTYc$` zLdysISIQ`gCrHt>NUsw3@|ODGAzX~E`Q}?-CPof6_)_(*V=}#Jv()UF)ql@kVHOcLQO$isyr6laZMcUK0+t0O z5O}Lh$Y2;Z^x&3EO_iw3-QS0!b4f=~+L8r_a>a-Ac?rL$ja{v)8IZ1t=h`!oiQ?6f zjpg-R|88?0Ho`>kJl%N`NBt{hE&i%h{~owyAz=gFQd>w3#S4}eU8Rdmv%y_0A!IUU zkoau6j{0LQ!(9wKLq-h{Qg3{so-ZIE{gR{vVdfz3a9z#1%x_++Qxnj<7N$PZ$XciB zbki4A)>H&{tN#=-$+z3f%c}4G{jjgy8w{2Nmi0(QY&6I<*93F_;NJKLTOxvQGT=x( zk*k7!bjX@=I&)ySH&iy%>FFT)O#Q)SdzaD>gZuk` z&>lTJi2COzUXQ9DZI7OxL@imI_sxmf5stG|1Pw?vVfh|7?GM0-Cyo@}xlSDD;&P@w z9^kbpeddM5(Y3OAhW(1KFqVg@ZIYqlI!!5ba=MuhV924i1UGYdemY{CDTJyEV7BTG zXHK?KT^C`)y+fDjB7ufHhsc0Hq#?7JIb&5lW)_}i%tb-V=g?_6>bhATaM>F3h!8C^ zU`qy;*ah;VFousEox<&S6b+N!XX287=T4m~*Nixp>;HYdV zjrL}VT{_s~y=uu<2Pm`%;)PlY3UC)|c7g(VSkzrOqW+~uBi5uzN!+#zTxDeK6Z>Jv zo;}=#fdLL9CfC3_Lm-XSMBNa~FuRRcS4k4IJO$cTzK@q*(t8Dnxa_T38xhcIBs<`5 zajriQxxWBgRE~8q_8o zcTG3m3DuSYIlrk$gYyo~PDkYOuW3bB^sr9(^0Tg`l8No%Lx4ArDD3(2cVwDitxv6n z@++tjJ3NH_Nd4#7%M28bayjZv%0eYW&`An3@bT08@O;@~k{i|I3(&9awJOg%h5oxY(upuXFZ1M~? zUA07j=o#N5e+`kERF@b!-z|(ZA|IHeLk917c?b0hbLsLal0;>rn|p&10>!SH%ql zo#6uQU%SJJqF5ZnAZ8@p8jVf%y1)t?OpU~)*-hx|D2guDOutmU{B0|>es|fy&6_6_ ztYA|daL}H2S*<90xVG%!8INd2rXWqBGknYL%~Lx8V4bCZi6tW5MMt7cK4MBlCyy7I+R--!Tv|WPlGL|X{ z#RM>SKUPJInq3$@nOGF$^ZQQ4%~!iQZ? zzzWtAr857p%w3u?&YdL8YR_?SBvQ4(r=F=w@H_tr0(G+bPpwPd$OCCjM&uj>H+bPW z-6^yM81huDIOI70od1|sUGW;gi7OF4iNZPBe^u{{f9|{BbrW~=)WOv!;Bcq%UAMbh zoQhQEC7H(YuWpmj0qz$oocAEeu1t&dx*&w%g4Ahhyy>jq4s_jR!QMb%u~K7;;7&-K zt(IkM$IF+m2k!f6Awf*UQJb)Nzh9K2gLtB^4}538X{RcK;^{UB(9%?{0BaitHWX8GVUr|I~p-!$loo^O`*_N+%CtNa2BeyYn4K{Ta|(ee>B3>BC<%AVxSq& zBQ0nz#nSa<9$TpmoAJx-tQFnRf*N`Ro0FP)lHE-utmGjB0JZ^{Pi10a1MB(=_mlMw zAQn+zrcSgqsMfH2!g*HOF9$mSZ*k55LqNR0cR=}tE?~o(ELY3Yo8%@f=CHFM(Q7C* z%P$=LtYEgK3yAT1yzuo(DG+Ig(e;E(o;<#(V`%~_0{J48#S@F{+%*V_;&e)Kw1220 zrq(N?-eUuw%v)_u320JV*=v)sZ4#@%eabhH8@15J8&qER@!a_G%I--~zxQL4KMk!d zHn(EG(Ar$`ntnMcPzg0RrqkrA<6^*k&*NS7pPo*u&>+K-zmEo&3xFinN}W*Asj%eB z{#J;eqOsHKs969TZ;e?jN0`X+IM9N^`NJ4*)Vkc(1YBv#Vx%phs}8@oO^0vE7Kx{%()Z(!fJ7YTf)b2EmnY=ymqr=Hamh!lPk*3+^v;{^`N_5Gj5F_ zEUXx&g*I(IS!NTkjVEA4XyrX~oTm^5D@!^VW|l3|lnHO*JYYVuUYqp@AvckKQ2$&@ zrFul1UeB<9*-wc;VhgUg=fz00ghmetFVGvQZ}jAK9T5sErR!|>w4ZCLREI?B|_ATAitGJ*u`)iWDZR|+J_*ShT70B&9sI} zJTeGda1&~@FAj|mi6qrg8Ca1G#1>UUKb5SmO`ZWPl=$0ufux7!(k5D110|ty)OY+F zAGfAgxVf2n(BPJZnGi|7#AV-30*RHc&yILs60k!jH|0RDjay_&`0N{HK2A5r-V5YK zxCs$5wk!(O#bJK7&X;J+(>5tmbqU+?3R0w(sfndF=WF}P4g!w>b^xDlv?)Y+NY(6Z zU3r?{s@lhD?0`od1TFIvv}e__a(gvzPiNrakoai{RLzd|lcBKiCYZTEK3Zk;sz#_Y zH77;XB><=~b`pWVoUjJ}0gLltrf`BTsLx4$T@u-NUijDKKiiG?RugyP3u$3UcN0TD zt!+xxR#QVE_1-I5KJmtj?vcdCv0ZezzR`{;lHF-sWPm2SuCfG=4tZkG@J(3wRkFEU zq;GZcFX&HGc74wk-_slYGWniw{-q7t752sWy=jZIKkEw2oIDsN!?Q|%3~hf5&ooi- zjO<6dcmfj*vY+sgQm-$oQqA8@$p$q&2GG$`1oXHe9YE9c{P;Ih?c_I8?ey1J?cHDR zN(#?)zj*q5TSoX$aD2xT<*-^sx-FiATK9)mZ01*S#xC|S)A`efSX(+)xb$)`DL2c_uB%_C+H2M%V+&v?d zpUm2_fdEf^2VFmCPs*eI+l{5Sm)qntk1w^%PxC(JQVvvX{W;ODXbON|CdT{|OU#flXx*7`2L z@Ap%_214c3iyG$hI7Z;c-H#ARwNiUUX2)iw<`QNx@OL)`vP{>?nskynWUGmJ7b8Ff zcO=_`T+K%HDIbl;@Q$jC@uV+)@25|HdLF&{@}~%oEXqxHk&7A{C`N}RkguUH&A9!_ zg;Jvd=n-=&J&URONY%z#AoB-gK7~rdW|^r`JU)!RgGyfeC!Za!rhzJ)E)v*_YNlq$ zawF71hpXlH7~}s!-M@UTmQ5tcfj9rGRG(<{3aV%xZ!3F^vG$f5Yqz0$q(Qj(!?V=+JkQPoo2BR=ZF!$+KE|=2z#h&m-a^vhx80 z;~N-B2u!FBC2eA;Gl=t(Z-wPU!_U<(k1Fks`geQ@cO1TqK~r3PQtGdf?!a}NW`K0+ zRib}LSJ|wB-2&q6f&euTELw;+YWM{fF@1Ai0DSCea)IHk0tx`sl^vhm-Dl|TP0o%d zk&QU2OVU+rr;$xgIzdZi!|KdB1IAS=HtdDvl)&2D5IHqeM#}hAuHDA&-PSC+#;<`A z3py`le!jq@my88I*DW@7c>M== ze@s(0&HcEbP;!?nMYe+u^Uf5&xKp+CU{i<|A8g*z7mhqVx;eW}ZYE>62#>;PlksLb z>SNAvv^EI;Y7g5AV6Yxq`1;DeaUt?naaYk7J%6#2IEnKx6YIL?2dAi>8ATS>YA%GG5vmqA71s{CvC z+VuYA`=V~<$?NA~IM+ToJ3Af)a$Ei%!?eEuw1BlhnyZQ^KvShdnIk5@WF?4dcD9+3QOgCPt?_4Fz9MIs{`0S@JjjmN*exVUW|Pz059h=|E? z=4OvZ&PWZt@o|UF!d&of-3$zY8xG>dHT=C8=v;eFcDI_@;fK3>fTnnv!U)wZ?48@Qxl3beBj#0Z9BojN3VD6ICXfcRLA~%W?g#vn=?O#Ilth7|TxPAI? zh&`ub7xv~ASw9F~N4zopO>lPob|6q;C-$5TlMT=nhen02sAR;$058KdqeV`){W&a| zosJbu)%kq8cH*E;@CQNFz&=^b-0x6~gm(v7@8RF=+9AYu^(Mm$sF)(H>$AiinQKA< z@aB5vm9AAjXpI0z;!@eVu&5nS*7xoWeg$9WFzXhdMq>omsYO@KyyQCr_0b*NGXSc% zORGFV3sqaU@YyqOWk{IB1w1bx@4YR%CwRQwEQ@A)n+^-QDbq6LTZ*|f-&luKh5`Aq zr+A{pTiepdGIc0HzrfBNe2i;-N0P!$VW5fWT(d^ngD zFz^F)Wps9Ox{Dw0hS;%y43gr)FG3CJ(w?%27xS2~_i#a-{2zbS zVC0~d%SJ5;;3^ckZe_Q6x4r0Et+o2!um@;5bDAU}=%u!6G&~|=!~6yVF1;y$q_-(4D#_@C&I?J7f~<6Mg!KH5bAepvl?8>0vaS9Gs4NC?&T?0Y0QW@^9bBPNxqiV>Pme(@~o) z({7CRUG}$OrRj?f*j>vxq~YvEm5#6?WO8YVl)nn6(U;){D-m_yw253Uhg7PkQAc(p)9?8k%75a`j9#@%~>M*M7QduWP1!!PktChs9#@ClTY0V0vwjc=b zbj)uAI(ASl-TmTyY%DI-&4(c{Yu7i{7W>h|$pOUjCr6rjOAYhnAo4{ynkkRFd02N) zBB`30p95p|-YLrd|1)OqL`;^3Iivp`QjgVk0HI*OYdCcruR)tg{h~AU9PCAfXo4w( z0?N<@JORw$8!TS$6Fr7hb&=8e(Qpw1R|;`BKBp&!>Ki(0xGHH>{zPd*wA zpT?ty(P!Vqprujadx5fnYMzqoGKVOygFBielL=)E^G6H{P;U0V4Rj(JLO%$;qd@N0 z9P*!{?S0k=g_$Fh+pWDFdHc{SvYn{itXH7_k1~v1(g*VIu^1bvA_fx^u3%QE#aDH)dY9gvlKi&QJNkZF`gr$u8#rg0$R_0cAZg!F zwIGBq7#QZl<}#7$0Y@OBQwMAZyT!a_7#r%u0tf>FjMli6wIC7sQY=F4@&H;{A|uyI zKIBq;Lu%kQ%ZgPA84ae1*jB4gtLkA@?W$R1RBKHv(B0@{T_tqbnD1popSX@$dc1)b zyxKp*@cKFYGLyeNh9&Xu$0ac@sG3RALN`~#geqZtvLSBJU1@ui*BAnTVDUkZxP0F# zjD_m^oFC!xoSx$qjOeX!?y&-D3Irl{roDbTodOeE0`SgzphV>z2HlC_NwDnFD;NR=fhv18@c|YezCNh*ySUa9wAui|Iw;~OS4K#m-dcU{%$BF|X}o5rC8SE6 zrCk12d*Ft}JMvd=%1};@B3!!<%*VC9Ezwm?b81O=3CNjq8vz%FrT@_9d!6qADpB@V zammZIfI<+{k)Zz|-fc`UV@rYbXKd2qu;cjFF=ha5L3x~w528oWcziY)ADm1MP7V$z zs`1wz>~0A))djx~Ye-k=j_+*)k^MVrGk1JjCpaTbbCL=!Y|^;)3=ym&zJaBUf=#ts zE$%Z7Y8H!bD>(OUEuG;aHHORCo>b&&vs>Q9WbxkK&c;iP;)7!--GwDDFVBLj+Pdy!dp?1J-3IZtrt9Kp#ZzjBq%uhbkiwYpTGspVlO)BPp* zhLQu}{Q0Ao&uxv&r{i(7UIogCdvR`aOv4oQB4)v*vjH;ZFAX>LYl778Ma4$YV~?6S zW(QwDTdx=oeGY+c{G%32${;$uA5BgmW3o~I#Xr=21ebUul4EXSY+rRsC&%3H02tQy ziC=yHbt>tQ$0%Wmu>wQF8fivgLFQ~D*La4fcIZ|yzvxXt-^PFYPvXq&Sm@&D%R;^F z+vxQ+r?k}bq*RM9D1H|UScH{{vnc|J#}E!lSxBmT>-6&SRvC2p73htsCxM+)^;z%j zW?MLyMu4~ZG0X$$Avp1vi7Gy)*O-P}t?W_n8N}M%0wFW2w*d=wKDfW;*^QWiG2)mD zi;*g6xZmPusoWvM@fpip~y?F^CJF0wuTqiF(ns6K#F*_?*k9x#rZw+QEUI zVrYLee>mzA%Ur9~&)mQUJ~U#oZe)m>ZJ)o*De4J2LU?hqxKE+BiA+hFXv4c2GKeoJ zN`WftdlsEbV(X2y+Ct~tE86Z9NS3)vct6%_G3fOcq56iRZ{47>1JqKFT%@$#)!3-j zwuZ=JJJRjs^2?&TO!TpSW2SF?li74qFuo_UqA;zFpX>>rshh$&?4+Efv7tUQ%iT5b6aXLg#ip`i z^vGvq1gXHdr3C~yzIDb({n^?rWnx?_t75GK zW-ph@4uRQ7b@1BVXV3*z70j%rWRY#j*Z~dRO<+RuG_O6{9uwRTK9SH^lmAkS^D5EW zaf4rOr<1cOo~R3B*}7qJj3uUM4Iy6i3E=gV%K#|T$yr3#t5L#z{J(wRbB;dg;v03> zNB%ZKM58fruaQsGKspL&f_T2%RtbP|Cn4fdM{8Vp)Wn`Cxp!cr=L>9hK;N-@7vF(= z)ZAy!txC2vdyf9AAR}#{A2o!;9jv3eQmBR(XrQy?Qj#_nQtr8gDr-{GgrOqUb`DFd zvZmFIwb3=|M=^>vFArp}Fo^GAi4WAW3l%q_>fBI;|B&m@EUhSBTOxxX-YG94o3>XI z`wt(yr>vcNs%P;k&2FR5x3?W^cJ~QlajgBUz3Cl7TK-=D9^zVUrbM48mq_FFXt5*M zl`}?EJ~MqU>U<#Z?n=+ez}nxFT-?Zw1B4@4y)$z9Vm0aiFDjQes*Vl%6)ea|=e4~F zsQrq=oO9?r6s4?eq)M?MD*}9|?e?gn9{Jj#_OtdqCikzCC0Wn--D@#PHU;7UV}y_X zP$RfW5&+xIm&rBM6PgGTMAaUtF98++T%W(v_ysQD$xft(+L#vzKnhWWo@m>3~Vp%l{!+-_9bl8?b=!;q4xI z5E~}b5iOx4pTv_cemfBKdKA$g)WhDQ+RprJBiw;FczY?D;YX(5^eP78SP(n1PWUl?^amVjMtU~ z#{Gn)xk7_*YC|I{4LG%tEZH!vXpw0=!z0aWhIU(xi-*&xF6Vg<5P2L^H5kgzq74*+ zLpzLa04x7nJi36vKT(a0Px_2*cO?~4p1hAjsuv%qgzD+j==t;K7-RObJ8G6u;%jnt za0XxL-{%O)J(YB!7EnR-?fWD{De2ouEX27 zNwXah%Mqj;u8Hl)EOm8C{&pUu=owGpUtpV$OoO-@{wf;&g5ur8SpF+Wz)?@&ZwBDU zCG&b-r*j=ye41WpkP7U~PVcqCgrNS1`A>yP``dL7DkgAfr`x-ha(W8iCdSt%XGc_rfAyfo&T1lnwzTGXT%iJ^_7jNebWa^5`_91FlKC>n zY2f${wrYkwiw%l0l+pY)OYw`w#7pPXhYCK0v#BSpac24kcG{&W^)ox_lvdyjb=x3* zVuPYZ3LchP*^!5qNI2&R1{uIB*=BKM87F8+YJ<-sMf|v=uWP6`q zQ;P7Uxf=Ck|I`jY-AqGvDqC7QN0R!_s4vcuR^iI|b_TF0SW>k7-h2+z?Z5k|mg1Dj zMK@+dWbiuD#yQXTn%s=#-QCKCr4|i?{knmTri0Q@XFdtG+fEAN(^E5DX%kH~H;Jy5 zw#;0fYFKAy@f;OCLA6l51^iQMegOV8C_%-%(?}`Un11vgO}*JK0$e$-tcP3zZBC;@ z>%Kzdg@~M`j!L9#)e!`bAXkYwTMW3k0V=_`uIypWjXuyhL7NPWY!J}lJ;GaX%1_WT zL8}I#V~rmCT|3weLVFZdf!*1}?tFxOoG(0tJ1=D@{G3M&H%tfb*D#?d8vCpd z->-24!LZvU=s&zo(wnT$pc@7*N;}o!aGsu?=3K{gRk0vK(t35^Ak7g z)j;d2JgT2a!E-Pik>2$L5)#M`E5H>&7_t+>F3(x-cbb@-DlK(hr54G zlm0esNpV1J9gwoi7(A0CH@c5-gXhU=y;PR%=Vki+_ekwfLeQq{A$KrWbLaa6OGG*} z4?6T25RyaGbXJZ*vRR<(0a@Nm$_HvF&=$qJ$onv5!`Pfqy<{?d07f_$Dp!C}LqhG8 z0&ACgNGu>_h2g)nFccv+o1zCA9(ax`gNc&X#<&)tGus~By}bYv@G^j{w6Gc4DwaBweeJYI5kE80BwXzDH&`n1Vnj;0_X&3 zY`6Nl*o>{l$v}dFM9Ta&nob1fwRe$nfXO#ZVocSKgmyJBT`#byUY{3?t2uF#G2nGi z54DF3MEh1nm5ZFr8`A2;95Evg)i;*-HL@%v6Cc^nAz9lmvcsfpHZgK7fENYzj;Cj5CpAFu6BdlsYIbH~y;4r8 z;gr?@b^NtP z%SB3Xaxbm*X8+6mr|MSJv(YHgc@YNF*1r(ivBIF~3rS-AiFJU@VbJGhqqw zi=dIK01t*PBqFF_AK3?zCV@jfRnrPqZ!{LDVi&Hb6;sz6utOw^Gjs^SJr76zBhu%`2?S@9i9HQoIS zrY2C?o(bw=+OkN=A$C5G7s=`tN+-$%e1vo^jt9nn9IT}#lcneN7aqhT4c~5-Vzq(X zXEZ#WRGX2ttKr7*lf4}(r==KAKQ-YZM0|$9E1$`u`dMDaY8_GEDr9pm(rg7{Da`k% zLuSt7;;)ZkC4Hurlk_r=zSO|ZXX{8dmOlVy?;J`} zV?=)e>+lSiIH?y2v+2OR{Bwe=6Z}XBT`6)AChITQ3r%xZ4Q(z&>Z^hm37XI#)s+W z{t>+CBQHOu&d?N5d177;{DBG!%3l8-^AqJl$glG&31b9wVn&6{>;ctz#KudCa0dgATUes&+Vn@p4K&;kQ%!y(L}Z^-BYdWA z-3>!rC}()P4)j}gn0xZDw zTXgRYp0$mCiBvqL%zz|*ua2z`X2*W_=a4FSt^QN5t1TIk7goL;u9d3@Y~MPgcir&F z#yWOix7fHqAOP7ve7K2YFFPi8m!-V{hIiclTY@N-sBajOYw<;NFD09|&nAKo;FY1F z28J9}Z5rq?{HC}nlyMR75l=VCzdHmTuWJMy@a5$Cc71cbA;(I$;@RyYW>gcBrp?O( zJmws2f~PF!ah0?bufFN$nw;_BY zHek*WfHANwxxmJN(18C~=Qj`{HF8oOA~%WWYK4yw`*0mE;>1aEZX$!qA;|;{Nf@=} ztYHz$`BBVw!qHH@UR5^ci{V{i<;%g7tFXQ=o9uFNxB*U?od@pjKmF)F0nY#f8RItW z#5HyaLv1z3mRBq9HPdT7?gd0~Saqd7xfghqF&qqbI&n@4aq6sJv2l`qn&v<#lkP_c zmYN_)+0COD`s2VsFBTIf1;nNMnR zN$v|`L3gVs1QQHs4cF8{6Zt&G9SgQy0C2!Wxfn%|?cavcOeTaljQurgfOiiWB0WeN zy77-}Qpp6-OM!-{KZ$EbV|A<3H$%xXscOrE zIbe_sFukxzanWioQk_7p0mQ6pRYm$Mvd#A{Et*r+R&TZ(dyA&pqW8~~^VbQ3DY8v9 z0)^OH0eAxbZc!E2Mf7T`ylyS%-o`fKQvWM|25K?|m-R2V<8g9AUIqSprm49g|A*`L zTqb+LniIMhhF}=ZPAfvnwf2a}JBm40!l+(BIRdLN70eDRUb+%)j{+N!(ut1Mb zys|*v0&3K;JZNjM`HQXIBY?nLED?1*T{oy}H-`ffL^vod_Zou5TUjtPpd6ulf-JUs zqvZ?d$}E=efI~?Mt?&A%ce`dGViAWPBlPwR{_$gkt$b=ilW4U;BtAx<8E&RWcQFD>az_Fe(D?*c&{oYerF3tEpT8uSQug4gS4a!D2p}vW;+|%LgcX zjgU0eB{i44+n>Wdg-n<}O}I-Nw}^dTik#PCO1jh!OcYb^w~S}$ zhIv47{Mnb!;U$7SIxnhQwQS-mo~5wzc|r*EYW6gfMqN8iUA0lr-C`+HbC5C^qJX6bW@?Lmltp;pA2;n7+bC@ zVZ+&hMnhg*cat)sCzgd4#9tZA^$CW6yWjiRpJ)i8EzxMgrAt?l1oTE@RN5vFATCv# zi_65>AXH!BiQVFLf>EmfeMAKni$s|;nSG%Tr^km7!d63niIF7&eQvWX!C=W_{1@1& zxO^BQ0lk>4RysPQe8=<}!jv1i0>K4oPA^sPQ-z|*#}7}&(NOhg1gSmzYel6-W9%h0 zqkZH2a_M07# zJfQ-V=J9|tKFHng{?x~v5p%&+(UY41GP1!W88O9BIY@f#UEa*WZrR)u&Xv=3Uv z@%(fiMh;LPX2XIV?1@QeI7(I`0gR7to1-KEUOV6-aWZ(c4a9>($T79EU&+1Sh+5$5 z&_|s>iR^~>lIMM&_X2!BE4Y1Y`N2fHkYTSN6hteA7o^qpxO){MC;EgpFaYc z33$Jci5W>k9c;PnO-gVWi5${^Dru|(pJ2>0Cn8H|#0wGN*<2{^MEP7RWyQnvqvHcl zT`S-NnyxTRfGw(pr9==^5GA~T{(+T8>3qb1J zq*Y?bsHo(~wr6shrw`AdmZO!*sz=e4EDDCAt}5AZIDnu%-kdN91)q?7OF1-L%&Pzv z-Pn_^v=irBVG&h#_CJ6oh0n<`SQr{mVYHl9NwNu-CfnKMqhv$};`uU7t_8IIrYN(8 zgI(26*0>Ssk+nCFH3fm+Cr11JF^7=l9fFAQ_HwIM<;mF@ zPQZ>Oz)3u}$D{$3g^`l3;C%FmQqbqRBF{j!eT*l@e?L|0A_Z%4d89I`0c*$M(r1(s z{3Q2lGc*o?hsLd8a~SO4g_ax!lW0ijgS8PZ z!m~<~y03JMCE^3Y0FVt8Q4g{1ha)6$DQQF-q65qAC1N_K*p0h?iz{|6o4{Ft2#SE4 z&D0Bm=(uhjmR2xCR%)k)e+KZmdX1N8YrH)XH>Uk!JS}9^&aPR)sM^YNbgIc((^CVVqWC&avsf>yqHn|GJH2e_&`DGl1q2-L+cV#A@-e`ADC!{KT3IYb z3h-lCqeZoWd5R{K$NYU6XE!J+#|PRr@#VDD|0-FZc3`>XgO0sm+4 z>@h1otL^~n6cko`MnAnq;l|Gl7Q^dI`zu?zJsZ51J zeQIl*n#6t5IePczMd^?QYRsk=`972nZZNIxP{6U$gyBJ_W;n}hNuR4M}3E>?KTY496l+@){%+tF#33thpP4-x9`qAEbP2c^iHN_YD_B&Kx_V_Dh z%S`LNv}wDbGZmeMG+kaoNhwub`ir;_16h9|7fJ0(LSX0!b}P4-M1)hv z)=S2v<%176Vu`2UBG*n4@zB~W1~@dp@V(JI6Jbu5jgNb2Hey4K}=mn8*iOq`Sq+yO5zQGfoUy4ez_1?Xwb%`FZ@pf

      1. ~tXD=sQX0prU8Kz|#&oy|(=OhWrp-2Hy7PPM*< z$?QWjcYH(5suR4NGr7h_J)_J|$Q#H6MNRK7kC}vdJu^iu%135}u6F^$diO}JQ+CIc zF31?JPtxvDeK|#_*awIv+Q~n_vIsEuwyT^8+}oNMnEipTseh26V9CAJBHGxr_#U-a z=@MU<*|Ze9MquM(34C zel;C~{WA5%mX5l*EQ-Z_@<9!Gpr#sqZ74TTJ@zis#~?O*p-6^$_n%S755UoReSeN4 zeZ)yCCV&-NtzMnkAfZpSSu5O)MdGqn?zbqO{v`bYsh=909=-4Xu27oAPv z=k}nTxw;;jaA?N8FvX^jMz|cURN{E4lA$QgL(kF@2W*ps9(<4Td+RvoTsYX#>J_?y zN>;g>LPq)UI2x*xj!#BivB|qX{ZZSp86v7NdF_F>vrdn8UIW7^oB;4qEP~F<55OH= zu%fpd9_SCa-*VW{zt%mnwUfNuxP2s|T)AQ+-Ra%`_R%f{77f%yZu&-QayCfQ7b{?3 zZj|qYTd@p`t=JG!@m@)RBY4@&2&MC8f@RX0KebkMKra_6^?{0m_i^ufv+cCq0?Qu^ z)HASOfcWvfski-CyWch_I>dRvscVuNS|-Bo-p;-S6?XiTOLFSh%G?(#PO>UW^4HT% zQcsc83c^tZBsh&oJR~GYOc*h&C0sxR!OsydZW>NW~UG{~sm}FXizU#BA;6JG;o*c(LL@mJ?ecILPCdX!t5m=_O(g60&w#!@*OUc zrV*}$>!pE`i);Ag7HW&HSY2hiVU;=wL;CMO@?l7fkOs5(R8sP{&mJ2V~Anj48jyj6riNOS`@a;g}fOo%Oo4~rCEOuhyzf_ICFo;AcwYqgb(A#uj&j&I$Br*_6Z2z0g@ETTGn3C7SDpTD)IxNtx=2A z9%vV+3oh7*5rpvfE^t7XfhY75Wl;NBn0YFYuCSh8FhOGVJR0bxob-S_r;TALkc87; zUz>oo$#T$H1FR5n^s{N!@zr!(if7-0oGLJ2wpg)az#7=7oB^}v{B{mlXXZyMhBu~w zJPN9wXxMuxgUfMis==F1qi?r)0utdzB8*y67V0ZdBy!=jmh{{&4Z>|}F8%HR#=23) z7*B^XP-Ibs?s`iQbyG*q@pKJ+{dtf!6Hj5|*rICk07a*b*#Uiwx^JGw(a~5(L@mt< zjt2)s4Ql(xV8X_gdOd^v!N{n&V6+g$VU$yB!TIXhV_LGI_{z6EvCnvfS5i|ZUMPd2 zAjFZznc~?uMlD-{@}IaR{jzm^nja&^OZK8yRL5@ygn@C;4s6PMk*Vilatw!>^@W2y zCdLFTM9;4d_3`NDL8y$UZ5NL6o6y1_<^`KVCKB$>c z6@Np;8iM5ANE%o0tI>l|)BH3jfpYgRKXAoLT=;CjeJ9A9{%cv>_`aFi6H9zB3V1<+dE-pfdQZwNeaF>Ez2)t? zfsNQUhnjy9UZb9z+SuQ&J*pVGjWG)vRUUU?ihzLNS2;U?Ncq`cPY!@g+)RQ;^1vrQwMA2DXd zVAV!VH>RPCV{PUZ2j@GAAz5e(tPUJTn~8xskfwB)>Wh#wIut6&@IA0`S0uDLA= zIYlwyS0$9yZ_7;-!Xl+0Vy0&cHn4m813+; zLWJwIyaY)>TSeGfjG(MNM%42pq@)(C+oW?)O0az^wdjsj2?lKsi;d~yUbL;W(J!xk^7Nh|6a-e)DlMk>7lLgyg8Us_o#&clFVqJNOI~eN`RX62DMwOLNobXD$>1Ff=1V5v%5RUsyCo?EP zGHL?bGL?#}?17JAVvoUM3B8&FMq+v(?JK-kN5<80Kc=ZpAMMBoj&i7C0PllRt3^`o z#uPhT$lx=y_ciHCc&ugf1l3f5sur{NMlJ6PWf$B=PnC70&U~W0{H#D>29FGEF$k}; zsCm0Ew$*ZRG(J9?>WQKzRgz_K$jx>RdQ}HrUjwA&Phd8{E~+$Zjt;);CmL$}85*r7PSa z0CMpg^`e1W{Edy!MHMd}PaWi*GG;0;6NoY^uW@EQZ$Ru>s*(eA7$^KCl)xRB8OfEG zW$`WTEAoiljq!oi7lE%hd~aZSGq?R22~ep!9-YBA^Pl$vLaEPFIcW`ohK&)H%Mx9U ztckl1+YG7Zac7@_*}RN?zE0FO_avC6l6fMqlPWEtF#cmy_VFm)`$tiq0W7n-)UO`P^oYm zFWWPLz z0cp1yK{w{&I6{bN!ZnchX?WYH)<_q}x4FA|6rO1`htTD&i7aQaFR#o3uBc?}O1SW3 zSta0S*E*)*MNedXXFJNMJBz8F%TjGSm7`|ysU>Jmh&TK0e_>)@0b@1D4^r=zxDS(y zoE`>%AHy%c`1JYnQBS^JSgfcP81wFJJ7iA>ClIY#gK!-x#IxFQL*-XmbwD@R3gGi< zl1$wczwR@K>s_C=F@M?VdcOm7p*=*tI{~hUUfUSN1o3H;vtyFdI;``936nFx6xIT5 z(2+EQ=(S`xOt90%fzuL=?@~{)e5GN=8#epdeE_ID4@s6>AVmFg55>^)N-dhi=``v= zSQXOoX*aPoSl|(0N`NX!&?`klvWQ2`j?193B8_wjH@L^`?P)sVdMzsZ3l2S5L&Wf9 ziDiK2nR@9PO{W(P-+b{U#SNcz)~$v!yAEWM&?<)?3bZI}e##eBgV8R9s&@G;w|V7I z(!&q-IZgy4JzxWaZ!ZPBFZrEVgh;DNRn?OIsqu0GMWCT~m8c~}?PCyKJRCLFrrw98 zw5d8(R|0q)tWA8kPSpaCfOTxyxp8;dk`r#p82YTROQ4+bOr2$^QcR zzx%8O9lPF5K8qXoReVajxf)Ke9ooMahnroH#L_8;nMmF^>dCL6m7(p|AImxuD*=rf zHrgYEMMjptSrr?9Ql<<0O7RahDRJN^LaISJ!kcrn&II9ffeT!fuI6BKpB# zzr9NJVxb0pisbPWGlXO>bd9_k?Ut*5y#oC~3`VNc&xvc^N(O+z593CcYZiY9$sFjm z5jcmA0SaHC&cZ;;8=w%DF7V(LiU?s7nyc!Bgp#7@Lkw5zC41mozyck9;Jd*3H9h*! zkFwmVMQeKefp2qBrqT4|1K$Ma)#-=4$=zS3vI$go?P8gxvm8&>t1PWBs=4GdN8P*> zZR(z+I0c&+aLyt%>;h&R~H-HJRpIB5D0_7){!fJ|0*u=O_lL-i}v(&x)``!Y4xeB z`l~)&#EAF_ov{7@-dT(hb~TAJwYtVpY!dJZG3xicr8&Rrp37Uc0>`tMBKvT?hTDcE z1!}%Gsy~tXaI40#lY-%Zt%yr_W?zMgUg9|`i+B<3MKk4>6*?8~2AbLC(x{$ND4qJ6 zrl4qAV~bJW?nN1UQJwCO#L(#o9Wc#uu>Y}Du7DlfB2zz?`W2))3^kuC2>~0>jAU>}+iIWOfFeW`}D4b3ly0 zM>BX`thbzy&C+YGmau{j)kw}eel2jTUv8)4$pPH0oz)RbU0E|2&ZaINefTb(jZGJi zcIx60>E-?gM)8bC5$@K%i&oP2gO4KI%5<^sDBhjb z5UrT~uZ!*3yOZ1)c+_;`mOur6HU)P2xC3vZcsC49g6uRKk!SiX6|4-gV}*9s1h9v4LBuZ z+M#qPRxgWe;dq>cnamdIWi9{=DJqwBWvFxaD$TB~%Ve6MpZhj4Q{(u3Qfq{M?%N1P zVjESxd$e))hdl(r!i-=pg)xIW%Pq3Sv`DZWYUwbw7M%nH^_Ys$CU!(Fhs||A6z9a? z2A@BFt#0>unI!oQ?8eU%wN$-UEsYF{ZF2hQ;ZbzC+6(OXuD%0TG2ZDwm_d_>nDfUypD^o|M$^IXMm-sWFIcs=T zKDKhN2Q}q55SZO57~3-n3kqe?5bdMU{Rjf_#<3B?uT&e|IVVk0pVu-a+BB)N z1UC2RTMUs555}VpAcfYK0#n0pG`WZK7F|M2g95CKW?g*!EvQDdFAt-sc78=&A zEMbS4PwLKCr)4C+hZ#f}=0LdQun|&gn4+zfH+t#W=k!UOIAoK^OqCUz&~2#V49@Vs zXmyjHU%UZs6fh)+I>dh1Z<0lxRB-+2rw4*LWCA00c!syK1Hy3${RSqd`-f-fia@~w z2O_LOUki1xyUR@<9;!X=B*Y!e<*pUy0w`!_-Muh?q*}%d8o5rB8^Od5pzIa)!cI^= zrB<6&BSrh`ePohaWCwzbNDX2|*3Zc6P_tFKz>u6#8%nMq*mI@EH110hT)kcHMEG?HtlyS$dhi(~X$_3J{aSm(XSzeW}{) zc*<>Z5#RqAzy9pmdG`}qr>Or8ga{h*w+lPJt={tP|86b%Q47aL`OCoV&_qVofJx62 z_34*awRH+9CFodd_=Zw4U&^-lxh!m>*>9Q(7|eS{k!A7qXj zk6EtDke~p8f~Ai=FEa9#OasFTffzr}sR);lYjJj4ZFFpu1>Et9^7h9Je|8o<1QIjy zB?V~kx+piiHhrc4P>m=*+{D1tc@P=OGuTZa@{P0*Q6B_r$+TM69MD6~}97HIPt#Ut3M?bM{H=Up|)sbCHbE6V>$ zPt4v9P|BTYkX&?{YXnS=9!|$2;U2XZYVQNLC*hM+)7162JChjw<{r0yom>aB(?{|3 z_S_okcylfGG3g+^ zV`(uwb*WV3`|Rr;%9uLPFUcNF@ZSUsHx@V3zAa*AYj~yR*{`?i-y_>>hOu@`d^znk zF=OKOSboMdo2u1cZpY&pR}Wq;lua;7As&J-fq_0uKsKDv7sOO4qv~D z76p{~Rp#zsPtIet^s6W44t)OfrSmiVjm$Q*0ob7(^&16ySJAARM-R!fZ=w;h97Ff# zRm~~RT9j>NAjotf=(~Me!AQbWsdOo;kCOZ{&1*0pEG3NBYbe8pR*YX;0BC1FnrG@| zeWxQtT#(?~VDP)4YZW?&Fd_{j4VM_-P3?Q78Z=FalVXuMR91mCz|k5G%@FyN^8Ep7 z>(q{_22CvZljsD07>uY49TV3?4*<7u>VPhlWj8CnGr`$(!Me4?O%6ZoNAwTP@fVGOaj~SD7nAQ$n#XCiox zqoyec9H0zrs+I5D|AJ5bm72r9z*EG(24b356((#U_k9}jvuV%vBzCN+;`!Om#vaN; zylBip)Hvo08boF%Fdk#yK1jO5DLH@6kftCQ#tAEFDW4)+==25G-5Bk$m)^XVC9BMK zw6R5!F-Q$s%7jw~|CBOM`>C3}*uJml`obeQ>mxmA@fquY#EZVQFO3L~Vhzu8_YZ&UC+Gc?yl=%?yHoR>LzJYE zA6L)3Gv$#S;=an+VYqUD*8jk`qVeTr33C~Wb#LUi91YbOiv)9f>Is#lSweQ;cGSjN zc3#Faiz5$SF9Y&%Uf@1A%W9DXJzwq9+(0tefD4ePyG3MZ5O zNfV-!u2HuhITxy4Fx4ki`1->_zrxyPcLLQNO#+_gbuWv5u0@Gd_to$^%{ZwbS`cmm zEehUfE=X8M>co1FAXT)boW)a17wB`Rq}f%4<+%k*GpN>Me7f_+HupS@>WLa!B zS>i6|nU_paf~jpu6A zAUaQI_X1-SV!wskHqh@f>yG*&A=YQiUI>*PkgN9%wmFGl=(d+j^*fIpY6e@nXo^e} z%KJ9a8-8HR5|k{c&3Ume3U5ay%~2UZAt1cO*)q~BE&VHv}KrPYeA2=n3{j^I~XNO%9ZlTAbVUJ6xG-* z9|NCRjr=Oo+P*d@Eaw<}N*I+=Ut6V`#!u^}0Ky~82ZNQ=WjJjB2fZt?fzbP!8t9*rmZo)fs|^uynC@@PEO_ng8#4?g@or;o-5 z`kn`H&%+OY&x1$fLw!$xuZ@pB{5=mJjgRy_kKmriAO4<4kH*LPp2wJf`SABVel$MO z_dJ1no__dyo;(_#>U*AIvgyO$^Yqd9Os!AS$pOb_u|;(<|D~lQTEce!&FL( zWR-@cVsp^2P+AW&Rd7ko?6yIEg7y~m14pb4c!>^p@Fl!r1sWY#%6_|=!RkHukycn& z_RO44ZMYqs!8h!xYd~ra*ik*mu8cC6lLXSJK}6hFCpp*kLC80&>H10G*U_o>9Z+8I2%kLQtj#S=&Xi&BJe@1cK+WtoMTP*mr0Q37vMILnC6<2I zM05G~FsRbg@Wm91B^VUxjO`piGU{O>aT1V^s%{e9At?5?woV#onB#F97YDjqX;4=U zJzWQU>h3Q*aIt8R5Oq@$Y!bK3urDo^Z3i52lV=wG>WzMq?0io=yd61(3pT9Xr)xt zYg zyuC^if5v@o>*n+wL3oQ;ByvY|=?0mN9U;^SmT^tShya0^1YlzfR4{vyK5)mi(;QGSZ?Iffbo?CHP%9umV-%k2?`c()xm?Q(}6OXVffJP0;*g2z0jxj z><6?l)YqUYrem_unV!jlSRp%FSIIRXvtXSVPR35ZA+}m=`gEJm+@;ri$^AMl1{=a= zGl1vEkPyr+z&0A5jy$Er$PM2Ap2bu-m<4kZ!#vH$WCK!hd6{gOTQQm(P7kJo9m>Bv z(K5~RDbg1suWS(kV|Ra-pdw~Ns>5SZldxsSsu{v*z^c$l5<|w^sj6N;MFTpIPYf_t z{dQz2nNvwBUe%B}Yy7Bd4Jfl|mlme=E=>FO0ds;u%%r>qUwDm_dcNI|b<;GIm8;XC zt6mn@Fv}pA&gA{7A?9S4v7i5nY?+4TSB98_xftsbwVRpcc7CPnM9?filJd~4;LMso zAj{x5F(O9SAH9>t86WJ=RC>YhmZtd5tH`0QoVfHgW+_w(MI)#D7 zv-U=QIh@W0AZv9fIMM(Hc}58UDJOiZy1R;I*fa@S%>+mOT=}fZ(kv@5xs_u;r&mU+ zOtp>Mh_UI^-wD-1CCZ~;7!Gg_nCcNQ-L!XtBx; zxKH^Jy7&1;y{OrinPUV>m{>8P>JuhcLVy{Bny9l;xf)at?1R{#H(W!~2+0Mcl9ac- zDU@AX>&7;NpyUs z{^w*$|N2QZJ=Gy7i{JG+wy413&taweTy|2Psh*uVHkx=imDovNCuj8(jfDondAb%8zm&~*ejXZ7I%qkBo6qpvQkXY}g}%A9ick92*|0MgD2Tu=#K zpGUywgBUQBlF_GE`{A26oV=_GXuh$bQKd(qIZ>8|~n?$EDkbH7># z>tNST9qiDlc+mPnkzuIc*d6ZL&BJ#cJExzMzWqGfwVy}3eKIZmoRob#dAw^Uk9X+g zq;)Vcyl~jJqbIv|^knCbc77nIyY}Jq{e2*h`hOs2yLR*JJ$@j4`>7dPd-oGA*mXEN zdofqu1{86lY4L>rPQm5v0I@&H%jOXjStCr65{05r)jmuGVbb)^uskN?FZ}BUH%}P z|3V>R%z0^iu!syXf}}C#XQ1;Zst=Zz4mta5j_=m$CPH6TffMC9C|g22eWN?i;|lAxUhf{|F>fobN3z=LtEJ3jDB1%p?160XoKM;@ z$TNZX&H==CPAJj?L7sy_a}5S|tGR@GmTYbk{zeV^9J&9lL?hO^VZjQo%4+`hui`#~ zmwOh93U&9}#Ef2c#f!S>PKIB%BL55~ z&D3j!FZwa4lz=)$6a1G_?HEONbsEAuyK`^Lhft=~a$r&8(bXzKkNiuY4@X{qFT$)& z%A8%;e%#))Cz|GJ>Dg9#C807bZ&3-25x<`}qU-%s+grHk8;!YnYpEskE1c`!=wJL8 zSS@OPsFp+Z`_Xtz0%q5=7>c4C<{1p=#JZukKyiKrnXAh1!y3CyEQbp>VT$0Ir1Inr z1ChQ(8QP&VC4gHP1%t=t4cY~pJ+3!^RH(abdrl$q4P zddi~9y{F`@EOV!l^OElV{Kp@_@C$;U4D`t%(|4#z$O5bZLnPsIye`u$I^7K#72wwJ zn8X3FnmcwenfF0}u#lWlxiqf0aCMnF#)L_2OxMBrW#5|24zJY5)CzH2-W zJ~DnN*4~j@5_yhFb%x24G?eOf5mwPm1dz{;Pf!^Pz_bYM&}c$Fu?dt zTR1`=@$6U!u-IY<0mQ;)OAz615b`^aBg?n<=X!gqowQ(^!w@OhVG}9X&bWk^pPxrh z1Z7G;zg35psO6xWNdZm;?>F-rZ+5T+z*p2h;Oo<$3V5F49JgnHE3z@gXf5!YJuG_B^WIs6X$(%Q0r8d$ZQ zbYPS3{sx&WQj5!^xGKrP2CPS@;2nfp!#81M$325fNVfZt8LQVWTu-_S#W&riSWi9# zQ^RZER>mf_*+UMmhV7{yYVRR?)Klgt@_nkttFvNsv@{2Hf=hwa!apO*{9uvbMwd-U zijlTf@BRly0SD~?J4xbf29!)O;`!7%fYx~X=cQN2ujm4&e2bccx+j16^NOEN!C2fd z0T+kIkZEO>n0L!Q6#f?6Fz{{z)Ai0(i27hA;_|k_c~n$zPGlZ`K5oDhFI zzer<;Q}g{POn@V1tsW$ znUIRIQBLag^!V)LV0vy)CoaoWAnG+tHX~C@=!#W- zh6yv0oQ#H_y&lz~=byfP3nEd7tH3|v6$w#pu5Gl$XoYC87e@i6Z>Bb$&1?MF4ZM54 zM#hDY#vQrs;`wol5xvI#RsHUvz8F$H z-5-g72d=To&qx;-C<1OVq(D)9QSsiwPt<(Ubrx!A+Yqf* zVN0sif{O7jXCF3<*qb&fHPIYdbb8kF?!8DZkjM)*^cipHRH{0Q=T}^N<9q|=R`hdY zmK9c_Mo1K8R#(*iO}Ksf`C){?fbU|UrHcmplAm6`3$!j>nhwS+PNtD|`f8PE;8S=u zzxIgKv!IVFNbj&MTEo;^|BsB8STs~#U7|Kk%XTeg#mlmLeY=O`cHaR<N!@d^SITora%lLRepM4t8gAe zw4^@3nb9-11joq2muafGBKj=9L@7ET@>|5~4Mz~M`pe9G*e)*f)bJjgIEKUNV}5H-<~z`Xyvx3aH5eSk!@IJm*A0lg?hjF901Fi<`{ zSpcnNRTIL~%y1|Svq|LFDpWPlk6+RHj)f=6=|RY!Iu$EZI0feY%ooaENBZ-ew1`&e z&afE)-)AucTp_&~xLP+eey3)}8sL2PF3kY974vDmQ!|E^>*Sr9F^poz@6?PTLpyq> zW{%Xf`@sW01=yDOd!<%E+!~;Ls+mf*#9iOU|>- z;+2*M*MTuom%0Olg{@O{7AH7hQ-vlkjQ#Smd_6?Rg8WAwP>e{N)s4R0QnfU3T}Ibv zIkb;gpB$wQ(@F^n^8|XI){U#Ffvxb%Hd*4$5>|=R4I;em{y|cA16BYV>RG9m;-J)6 zu??ugGrlC=Xm2h&)td68ajz046j z|C%>Cy@S)X1pb&T4puwreg)Q!+$Ro>j;5!lP>wiLo)I1<4$zaySRF6|)ldmxoR$1? zn}JP%b{~_YbqfFD{zLnpZ_n_6>;2J3PQ{p>u8NC|nuG$KPyc5NC z7B7me7Btq@lC;dM0p%UcJ>U&SO+fVGSa6q+ly1WHVOk>OCkE!RXcvuI1$x znTnE?o={lqUxl&A0=zXmw1@@z7P7spON`Wvk|5uT;j>n8hP zqV9A3z&Gmu_Mbl&>^NsffJb5Y;$N!iIRvNC#tFy;0A=@)yVSZ4GELdYvG~fymO-TF z?D+IU#o!v^PJLA#9N?K_|Neqn{#9MGO^7`lfcU~eFZBgKJ5&n^y3@{i#Gr;mSrUVY z6SrzrjA*Zd7*iEQg9t>crmA>TZAygy??)}uR|bz=-nZlEwc0vjq#}Q%?zrkl0%ya> zV#WsI#DsL5p1sQqmC#2d1bl>~ebB~FjpMK0J-R%Bx37hZ(bojFKWy()q9-JW2!8Gr zYh@7E%>c2MR9=^V22gXPMOS{>T@vNx=C7izy*QKk?Lh;O2yG9{X*{a$v{`nBFy z!&))e4Y%(_i3dA=nk>S!eJ{IEtu5VQfUD_^VcJgsc!Y6P%NKZWo;|j$hoSXT8}gc2 z`W4N4{aqRpo2zV@&6Sw4yv)!3H*PY5D!~3Gxv)^hlFrS#mL->IWe8^In6P(4=9*40 z0zq=cu|_t;m5Hyh7L=XI63EW+k{~OU&mK;qv)EW_YS>dOgEsHTbP(PPmW$TUF*$hd zxX-R=u4zL=&SJoRz$oMCU|22-j6i7>g$#uQn-L0pg8v@A1iHHyxE(%2j1mmU^K`LL zJ%gV`$_Oc)%F9wsL*RH^#<{YJbqRuUvMmu$k#R&2f0i&9zdJTso~(*FV3X!Vot)@6eJYc_pp)cca<7ggN@k}|CbG^Jk zsj?bYTvdtOOU?)*e@!E49;x4Wm+t<{2X)$amu|J2mu(mI z$KQbEG*<;LyJn%WXYGOE=wv7S>1Y-7BNP;Lii^qP&l@c!Tn=Si&7}j$hj`iI~P~!I1 zp7Pdos|Kn5#H$C^Cya!`8P-Bjw#z<)u76XV*}V0!`L^~>y^yyy#yL52O3No_ntUj+Xv-=5FNx4Kczi!fn6qIZnC{0w4`3AS!6OJ4 zIAFyNyK_#w#a&!u1HM9NJH}BjBwaGXIJecBz=oFp@w&*=XM_Byc(mfJUpvFgZHbUp zP#xXG)@1cdL#d-!7%GbxMb`M;yUlS(zy1~9FW#RLDg zeuO}+Y7xU_MUpe?$4u7iq|87B7^LR%WxTCOAlat;g}R(t zOlheyg?7tyO%w3fTUyfpg!*rKf!I(rNi5c24dTPV8&f3+DyW*F{Zw|R{EV&Y=W4yw zB?eTj_N=BG*(~hW38L4UiSMA7*vX4t6Hr7IR&Je%cQ#u!9zVU%XYILhDx@_~o9$Hs z;%#$uKnFjL3W${5q=0qB_Y5}@l}JW;hLsrAxUA9~$bLU1ORC~kzVS`q$z(~=1wfVZ zkyPb=%HczdD(wTv)C(#hzfLsKJ3oAUfhmeV*VH2xiP~1vO;9^R*F$2A$#;5*)JE2k zG_c$3$=HDj^jSLF8-i+8PQXBFxzyEgwN^{`AzJHk_hIu7hNw47;HhqZCZFWy04f=$ zurFiO_U><^5&LceH2i6i1zxY;v?n^H?Na^4L{iVU6*6e6uch3=C$AkK&-TED|KTiA zUpyFn8?n2My35SpO-ZKXaqWrD;|e*O-}K{}${PpH;i}f4m#CIbs!~wPJ$f<0LV(r$ zlAPP;Nj3xHHHn_633!!kqR-I^=Kxh%+$>s!uqn!?KQbQAUP|f4+3Tv+nChyu$=M-= z^cDd%I=38f*R)^IYIakKpklLwj-AOoJGtQYQb4hH)5A=T+coB@fWlnYt$a_bq=MYH6h;G7+03-ztuTis$y+#{H9T|mMWXNr-oGop2(#Ke=dt1%QbjE~IN{hbH0 z0tc&fs7V1J{wS-AYGiTxHSMNvL0(vmru@NR`6rbLP zg~c7xM%$Mf8iqY&4GTf9nN*hzT6X07`uAqFtY<9$5tZo9tCj}XSVX5qLz#KQg zF{k}IY0_7r66h76@kZLfV!}?EYQgj5f(a4FrL(t|q(>zEg1R5-{mn|I-NIJX&5OAJ zvWq6KmDMn}9JXrjyb|($!ufN1GPeP(C(GozERKtpJeeCOob+qcoC3=NZ%H;AzaJ0rIB?WR}>s0GrT^R->M+}OH##X8AD zbwj3MQr5fmOhLF5axcomg7^F?i&rgoB})Y2J3;w@n$#aO0DjTVy9cZ(HHG- zqiwbG6Mg+^r>D7l`#V0<28C{d zY*cv5S`MS1{<2HyD90t}Ig1!vLj;cMF%1e{(@Wb0h+II;s;7-p?v4p=(pk$myRd0u zd@9Ye#98C6cK9@C$PvYKV;Xu~1s4(yMV*7~qHEn3k<27wy&g$Yd75C^Qy<>V)pf!aY^ggqjdQo2rR!A4Z_R6Gsqa#h9 zbrc~W%IW838Rw>pu%~_hz!&r~2Jdy!SZ@;&w1S^niJgfFaE%Pdi+=Ku%J)|vCMzsf zHf^p+OWfl^yGmo(aCo_cYBFS;ZgX4FN7}EiHrrqy==Y9$6EEeXXnkA8t90QtqlSEz zlBb5}A!8b!+1{{vixd{Z7N45GNOr^eevJAJd$K$UyXrND2L?$RP%o3RZfs0n0BX?o zu>JsdqmR35*OL;LNzb1=Ux0e>7Z8ptd#H?Fm>bN}azjP>izG(ZWMd;jj*`gZ1$xvwh#B*NE4n@4^rMH^sFXcOJ=_f z)*7%`^FvQgPbP4Q`mcU;^{FOV6qneBR&G2uJXj#(Ye=-UuCRV$*kQoN@=@JOJTj1rBq7AMdSOekA{<<7qDh(q z?CgL}n&2s%D7?+Ur7uMXR)o>2f?Y7@*BpN+#7Ls=7MrGJMu;DYj4gTc!-1zS4Djdd;WJp5i~S@3Q&?+%OuhtCYF@;603rEz?T5wVL(~%dTllNOM|Ru)Jahteic*NtZ`)?NCHKi8Cm_C>{6Oa2=w; zYKc5Ngk|?>4)I6qzoufe5PZI3nPdx>w}Zlfx*x<43yWn#imHCgvBAhihiNzK}5*OUkNso zZ3^ksIGPyY_c@$nQy8_Jj4l+VIScyYM7hn^jm$2sd)faLm^aRCg$hp^N=?2I-=w)- z7ICVOThZxy%uNipW(V z=QOZCe8Nduj0P+icZ~qVqy%uLvh5qyCg_Z4_(Pb3|2yK=s`;`gvX(qOonRmZ%9}57 zyY7{R&(rypG$VPr=9&(?2~swhs#3Vu{c`*8;*=Lc7O@GL>E2fa{;5?rhN=#-!tTdr zK)4|~iZFlr#OuHiFRDL7{tSdLDywdj^jKlOEz;aUg_u-2_X18}_5uAOYPn-DkM@xu zRUk9|6l2|2=|(-sC4QlDWALfh458L5xJ2z{U|OlwME$c8*w@%H4=W#H7Gd_!Q@t|V z1?Awiayim=;Q2tzq)FIR4{l6|=Y^SzU(f-2kD)S3Z{r-urMEzcR{=BAW*sLPg}2mX z_~mwdFg{E(wa!ZP{>EHfJKV!=a?8nxn@Nr2uTYNah-_$u9?HIoy_CiRMLzpDog* zoO#Y5pB;Wc(}COcm)l7)J=zrXUw82Joq4c&-nn&X1wZE1W;@&J8w&T|BQE(880*zY zYqmFWSayPXWn6Bcx-T|Zsd@L8(F7oNB9eOPR*UhXv_>F?+(jyog8Eeeh_N{$k{bAa0oo!E6lWz!FE_gHsZVooHxdTQRsC8*Z zl62*M0LAw|Q8RD&LJrF{@Fk_LsxO@|!z!0al@Otq^Pq=_jEGA)I} z5DvX=E3hO^OFK^dUb$~#v2%O?Du_&Qdz&v~h=@rKd;^Su$yrAKL8NH{(3q^i`TO70 z!ucLr$xt6b{So+nNql8B{9p%_H5K9o0tq7#Zo(Q4o)GRLIaCh6Y)LRWcWQ|8)_T;r z852^_P=q8vqPkXZJ7NeS4;LZ?k#-E`j_Ru5V`=G*TrYXo_?e z*fxHR0jVTxGvwJ`S8`Uee`3x8^_aR%Yo}mvv>b2 zRad7$-Z#?Au<{!&bN=M)WD>pj;>#!os|5q3>h#@ULXDalObOnF!|>1}2AhJxuVQ|c z+zP!^O;HP&O3X(<5*Z~kP(LP1E|9J2a-g+8C|)d}&y98AT4KYp;Kqh`HeY6qRWJs1 z{sncG#a{81A%UEcOA&XG3Mf(?BzhEmyUkOzF+5@#=7zgkTI({|rhVSXTUJGjBkK7xL8sh@ZB$KTYQ~+TVq#+q?rT+?K1BI zTlI2VVlclBR0~Wz3ZClLehNa$I-nXLf$7!c25b|ZLC0@bXFz3r1>qj{c{Li;Av^qy z>NEzOKSV~J8{EAPbVZX7($SajLMN}81gQgDgr_T+7kXDiSFxPB1}5L)Bm%uRU1_B; zvz~a4M$7Uz*NVj2#`o?gAGc_sbypF!mAvRyenHLrYEY{YI&^}Ju`We@?U?tn@X8dv zvl0yiu*7kNe|jF#3^HvAsNyb?IH<=- zkPpdUbd{F3VDI0mrEN%nm&okW(j`8 zDWJ6$y&|eammbAfxSqh)tC%|ofS?Fj4X~vhZJywE`C|+r8@{28%3RJ}w918v* zD0_-0RA|}JWi~mW2dmeZs0)D8 zLs{mVl=Ad{~YBBSy`$gI+N3UK?8){ibUs?r5c$lx!@ljy~ zgN(K@)}Xkv?kVeIM9pr#)9=y^{>%v~eOsZ+#uU^z1#R*G^A9E#9!Sja9C$?++Ds4y z+xJXPI=gKV8OFLNu+;m++D$i^mAilUz#_$N^}G$aPy6_BDs!R#?LLPK_n+v?KImB3 zcSSJ>dJ$v-_U-Rew+()oPq2*-+Ig_zMMawKD6C3kdcp|?x``pPkbozFIcRw)O0V#4 za`y1(hX8&UKRo#BrWLX zj<1Qmo7!->lk@!|ZDdiAB>W*!J^N-q*CYgf=Sl9@Gjo z0l1BbZGT0hr3BVO5WTl3?PF|?OsG!|4jvwYYf&{WDw+so2xpCSZ+LG>tpM#4iv4k~n1OzrZ+C8+0})TQYX<}EHh&S{r|D37EF>{T zA$5_-4x{(EuMK>ADVmrfoRXTREq3ojdJoInKeJa=tb>X5Fi)8>q z3$q1ph1Y5=g)hwWZ!CK(p1>4-+eKPn&IbQg1=U}P9Q*EHLEoPlw#SnLkOYo&sOgE7 z2X3kh(avd%PV>2Gr)w9~i^tDHH6z?;*G7%$E%51S0c-Cde_%M7;hN5Enj1g3N8_DO z4-6MLz_pm^aH+N*fMnt{*ZH7PU}T!$&G;6}D2xrVW>1UM*5nsSGpq@%x z=#1pcpOp7Yr~hvo-&f98R#*Y{Eomx6+yXW+|ankn-oTQAc%dX@nr`v8bCj`mNF zb^T!l(VuNr!_3Y%#mria5Kl9?MsP>e9ez%ySYn)7DYn~UZ!rd$DXO_6T;bnT#o586 z<}jp9TM9X=<^i-+0U{*K7x156<( zYt&ncT)Nj~Ku8^1>nQ57<9w0KN_4I#hoHqYo`&Sq9e>Bs_=Z#zMOc#ssi8wpXIq__ zavrTsNqv=o^0ZM#+}MX}29I<|qXVENDI%?quK$!m>DOs~s~yjgR6XyndG3gvn=Vrw z4K8x{64g5efe~c0a+DVImkJ-4TcBvU+2=8Q45vh(Hmem8)^ep6$x7L;I#n7jXV*fw z>jFbSu*e`-pew@}$YPn4tS1fbPu#cEzH%`TIis1NY?FL^n0}2 z>8%lr;WlZ^dYUjJ{){kG`gUkWbWa^!y~`zhey99T|cUI z{ph!&>#i`XCRbrt7Iy(A|1By|m$exwpGguMb>IB%Kj5#dPo^JAJ~!$23HsZ;DBxS& zOv3E&a%Ke1n~~K5s%h^cIlXtIqX>+h{jQ0>-Z6AEA#Lbh3tf%ZbvNH8#3tJraEXVT zSI^yas%5yKPUsK{CU7?!dPMY~&Hc#>w^1Q$Zu)eaz@`A$#)UK0sJ7A^t0y7ayJjCt zHqzc#=XRmK!ZQRrst?@1m!^gGF4`N_`ggY^MN^n=0l$H$OM_}{C;Q{m==@3aT+Nr< z5U6wzgbQPgnnqJBWPI6NrUm1&PeD4E29Rqd37X1+b$kri+;F+Dv4aGu%sj;KrQ9%0ReOLMF&CXWet;OGSc_jUAA_|%$0JyGku8VHPn728ea zUKI^dH!)fhI_XtiJy!r@)vrz&B@e*k=WkRCuUH*LRAP{PmSGc1a<#p{MqH+`C{a6@ zjyLKZEY!J)DGI^zYY~vv^r==o!aB67TebZ}1P6($k~*MQd@Ct|p5%CZXrLt6N6q1S zu6(Ijo3Vj!K`gEW8Wtddsl{z~r^7SD;~m*^uZYa- zs><7$Svi$iT~+pv`{?~chu}4H^->ybn%~VIanH@WJ?AST~X)yEHTQkn zDvK+-q&Pp=n@&!mhf#iT1b=9tz?Ja!oAQ2MKnk&N#HP<;dfxYO*e`Z(D(HKgXIX`cr|`q<@3XR3|v?T=?biN4vl3&@ZA^ zknWU4gIs;gc{qPyGMa;VO|u7C(&;>!r4bie6oNAa0Bk;g(meCeMwUo zC8xO@=kj=>^ha2Rg9T1T7$>{@Hg`IM9ca{+EUM-Xdqj>TGLeyQcCCiyo# z64=+#dw7wi*3hi+4iyKjRzhr@uBe_a-)39R)No}#{-N_paun5(g%zZ3EQxt3bBrRn{G^iA_waYljHI_ zLdrj-P0v{GvsZ(Nn57S*xLg(Gc%34?kQg>^{#-A3%ZnEepFVwvde}CKw|6|a8?$1` zH2Z1-oL%(dF!H$(wNaV?O+d20Yo~4#Q^YN&OPFF@bCbL9Z4HPlu3~*1{ex^qc+v47 zg3tBbd)4bs{F5{H%gh<~od%xG=jA?W5>Ns+Deek9K^PjYPVIj>q@v@xyW-L-}q- zjc!$|kdzkl=!?dZ>E&REdun<-eF|&XiwIY+IzR9U!Df|g;LYEqnV%!7IC4cjET6ks z-vdveZ#W>Btr~UJJ$f{1O4dS5s{NHdL|n#ZSZ>hr2uXP$JP%&$N)jQ>ZK~pNw@C}U zjVG{fbqLF#O9EWvee}a<5V)BZ{Q$ee*Zrsof@lU`*gT(^|MQ7m zoAlBtJq{rzyb@gDtD++0jvA%rV&eFgrNj+_re;x6<-v9qlbHEv^X9^X3aOv;>!W|U zXdl%GJpWc-mSoALEQYI*o08Di#M9!E@~+?pUM5+;JOS9fs>z?|d+2Bx9@9e*x^rAMPj%o+Onu zg{2j8*yl#{7h5qcM=!yXd&E&@M!jx{jF$D8xh4tvNg-3rY*n@c$NL%c7qA9>w@v3* zH8?2JjNpN|5ey8o8n-l1V5r>#V~p@UP~#OQsJfK`VdAZz-*`pC2em2kTs%BDYyZ~m z?)PeU@7C?^^=fx=>vks{?cRKL&#OrMiR^jSc1ZLUSdZA1C#)e$aheXin3T`Yt&6>2 zMk~*$LbjIKvPiAU0NZAwKQuG)b~- z1@nx-o4^J`Kby4D?HZ?x`^Rh42;x9Vc>)IVf>}E`RfSKQyg+zsgL?|$!=$`+MS0Eo zlcHzjwc6&3xV-LX0bWzhnRcq@E8ImlC1X)%q!1O^8g6`1XWN8!8(yr0S#@MkfMtml zRH;V9+08bUfiOGkMVb}L>bh8=(>>i&CdPVe=&*d(7KMmE4jxhj+L1ccuUjrwSNOi<6N*B< z7NJ9P2j!(wp$?ZCQ%cjV>$ieH2;dz@x-5R+(a*vKjO*127dZPEBO3#sBd0b1e8}ft zX^;qa0KPYW>s}wW%RE920mc7el^ojvb!N~T>rh9Ct#^@@83B0legjR~V{d+ZsFLQ0 zCwO-4=r6-MMcDwPaIBX);pE7}*R`_ygG5=<9=Z+eyIb zcvZGQB*u474Yxg52?Yi>3|(pMY0X*a;pB!y9{m3-Hjt&f$j8AJO>U-G;RD2*C5{{? zi{=GkR5m0^(FC^m>Zj-gZ79s4Np|g^$F&i^*6&DjVwtF-#)wX6^Ut)o#w49r$<$64 z=*jlgm(R7OquQ5qy>BwseC&7v>=g5ofPX5Fve~R3J$!g|b@d>57h{>?12ALA`1li= z?PAxM^eO>1+)CEK!sH7V;XY$40Vb$Rv0Yo}ht^DaOVhqWlvj6GkK>bSnStn7;(m_G zn0gW0^4waU6}}nP@)8q{bkM;;1X^Cg==)onTG^ zhu#=-!TYiWQ$HTEla;wmRqq=m?e4@bnJh$w>WOVepGuVnT>n5k{_WWxstb;Gq9elW z$p6yh{6|?Hco~gpw*oshPqMJGsPOl*H~@~@*jj9>olxJc#c3FicB08qG}K1%jBnOh z0Jgz68DlKuRQob!R%E;MX#BpkCwCWs&_e#=Vxs9D~pXIIzGXpXi6Mmrm16C65ih|7S3qg+*i|n{zO=xSVe; zb>+b}7aX0fv#Fk64r}nh#HP5}RrnuRjg_F4y)DzvRgK6}uPmG81x=4{*atV{|GY|8 zt-H2=wrzB&HNFl$&}+GxRYh4fY7$}cj}$Rqb#OMu811X|7M>Wx+tu}IT9AqXpJzT( zchlj0n^%0>XC-_v+>PWWWJ7Rv6Wda;#H)j^{_N*MApY}buV@EU0E!%An;B|=PWB0O zHaQqIMnq-A&1Ft?^<;m{Dg9YIPgbyjYCS_1-$d}oZSNSmvd>L#<}|kua&QqfR)P|n zbuy=9C!Tp%_DnsyJOjDut(f!;e7D6#cAdkrxk}YnmE;RiaH8(>zis!YN&dmIC=rUm zshWg5x{(l$QHu`!4$>Oo^|;MPFD#U=2PPPcJS`<>q*30oSdrX#T1^t=GR8ix%U1)Z zjop#~(3g_?&Ij9|`nC4r*>_vT&Jbu(9oFi44Hd9Kp7p=pke%|gQhD4>qUWb(^;CP= zMa`^U=8Gbm7nku)^s1l;Q6zD$c(Ew41~$QPBfKK6)za*sTdY&J6POEV$0ruZ=2$+4 zDS1l)QaMAe?sS@6YFwyFq0?`DTY%3Zf1kK5@Na!vXk;gse~z#N@@jE&U?YUm2Y3|`gJcMa0DcAiURwnEFz&8AlH7(@@Nm7N4gd(>c& z$%4Vu*d>#cAF!h$=@)3<4O=l{{+h)S6=>dOVLU;{L*#5Uo3#G7;@2$lMM0*i>O(km zpaGbk>DAIf@Bs)Y6nzuvKjTY`v3+CbDj6-BW-R_f(^B}XjP%udS!@c%grc{VAUEm- zW=8#U$N~v<&g_2puO;e98Ra=skVR*tHmCqkNBuE<6>gEFW!Ek}5=y`lebE@(e;7?M zGOyzY?C9{uu*k<;;Ag0gVf?7_Q3F!!Q71=H;vkiy2f+6jkVEZM)Jc2RpcFWX<~7+B z>qhLE(I(ECr*_~CJkI$l-E8<{hW>DD55bkU8l;W8arFnL5T-3pkQ zo0RH0yg#28S0*Vy01a8tG=qgcyO_~pWGcJB?piS*`ijt5y4q)6ITN$qRE+G8 zD_y~wqcOWd!#Y)@LHgA5#FVhZ>&uzvsHirURZeHhi&IP&N@WL!l|!xwp08NWcOcp7 zZ8@`mZI-XEC=0kU#Ob>&U|XeFrk-lD%Z{d+ z2)zXAJwjt0poLY1=~0Ja5fJDS-}figniVzZ!-(D>-R7WEdPRKnm{IqSsr@iZO*4PA7s6vec_!&hqt$PR=e1$&?Www*muUtxayGW*gpY5w1ma@h^)6VU6^jp=%(U0o| zv$}Ryz?L7<-C7g<`drGs|%cBgFI*vgdv7=5HVz3HA&|09-LPKDUh580mZNpjP zG|sfx6rvQ>ZNXJ!eXFGdUNn91zIuOO?L-xNfsU#k>!2uWR#*ygeq}!&H3ZM9Z|x{k zJBy-{ClcyZS)DTpVF^$n5yns>+) z_AP{Mnu;{0z~Rleiovv1`6*RVa2cam(zR1)K*oY@Kea{t7bdeGET;)Pd)ci4kx z29T&i){I7wQ!$+^m9s<%xg$)Jv0b?-R=6_ivf2KD%qzTlvJ>r32G;%Ss0_K;Wde_g zle9#|6jyUh6?oc-yGBeKRz2p?B`z43MRkGB;IPz)HXP;|Dx>(_Fh@LerOKem^6XlG zs9vxI-)4V&K&w@8y?q~TR?*&gUyDOzxY1N@s7QWP^!7NRj8Ca??0l9RR4>XYrtKP) znq4}9FB;<^dcxJVya0g!KXeC2-RaT682&?2i#Pvs8+0*m=eDZ2Tdk@p{5Dj}Z(;XM zuC)xNqWBV4FD2sRgte}be#Atz=${cr^+LEq{Hux2hOXpf6h^%*fDHfBZF>LqmO=gHWBaHU6qkR9_z54sEfgR_l z5~8oRUa23=e%TSn4!+SWSy1%dZ9x6n0wxW$Q;%)ypZm8o+1-tPq`6YD5eyo$Wo}jM za62-@c#R7AN~o35;>`9Bz3^{xaEF^5-1a6XyWR@MBDfAyvrNM{61CR|t{PMG23(@= zL94WT6J!VjpD&qRfMG=iMnV~;ep7YC!3pm*wod@UauZo!<(Yhu+zigm%@SifJTHe* zK8Dlz$G=O~Wh0SK8~_rbf$h=w=pB_ZFbO!{S#T>S~$I30f^vK^R*@QS}%>bd7@DlxGW)`J0Mhr55nf=g0`>4~8 zVbg>24Y&se<~U;NGFW;KbVpBGJ9_f{>F8-|M^C>u9i8m9b#$`({pskWwWE{oPe=D! zJG%G%>F9oINB6%E9lfbsUaeQ6;pO4;7%$t%pH;DwX(8Zknk%oceLY{GfXifeqIp$P zsnkKm3}gFRMata)-pT2~F5#08RI}f0!4Xk>lAgW9$QZ*ZQzMloogjA`#fsJ>M^{r} zTTF4KZ&9>2M&-)KxOCK#MAUztY#5n z#*ZiPKX6&ZL~7)8yl2?orL|$}9hi~3rJ6Si1y-UQ=14wuChe+uZ{9q-96 zszRJ;kNjdOH%;!^D&qJc5L0m|ToUf8pX7ia8Zpf^`%AJQ@V8SD{{zQx6~K{o1GNKP z6yyAQn=de$8~qd>Dwb15JE3fwhbU6A0Mtu+@}-oa26JmHP~2y)zfem+*pml~Zy8+_ zT$5Cw53i|FeeeB??0U6^xBM9%^wZ~@mxYgZU^C(EM%DE^Pp$`UjmlH2-bJ{wd4eCS&|vxC>z76<2L-(Fxs+?GW3MI)d?B`z|(<@o!7! z7TM`B9{pofr#v6P1UtvP!3L>P&Ql_h85GX%@D0!b=2IO!94Pd!>O;(#ZYRJCjYSV5 zY{=wes19bDQnDUx1;Q4{U749l?qoI~Tv9IuXfIr0jjlZ`u_kH9=NfG)3lcAz{FB$u z9z`#|?VPe02`a_&Z-(+B)d59^DNdtsklc%%ND;Jzt0|GJjo~o!0308VQe{PPehzCV zE!$WkkZ!Evgvi(-)$uaDOOE>h`v`x}2qG&2!1lGaR4T@?d8^^Giie)8W8sgnj!8CmG!IBRUADJBRYTRE~bwQqaf;Bv1 zpEMTn7?nju=F6Gl5R+RoEtcF?kzeq8ca!+IPW}DPZ264j6omrGP#o3huoQvw>7eJE zQ46?L8S3yeX(RAcn(LM%WnchrDFTC%Did9g$R!=GNDsM0QiXZyaNyt>I{{JvrQ~AC zHHM6@1#I_(F`0w$MLy7IaLYGWXW^^4LyBs!kX@KO>mMLwR6O*HX5n|MnijyOx!U)Yw_Qp%Z=qf{-7&_t=C&1RLL9nj(_z~Ei z>y@pAsy=#u-g#_$)IRziqyZPNd~iWtMBfaQR*5E9E})y>w_L<|6<3zRY4DDg#OYn{ zwzr1>hBBQiR!LRD$}3dOF_^iv=E3^1w=f@K!UbRnzan9Xw^NKF!&0um9=ckswp`b% z^YR2f!t%mYxVckRiPKE08ad`?HZkV8z-4}cmF0T%M#tt?(J$!R{}uFG{iShf)i&D4 z`bN#GcGnfr|FCZUc}l%qCCP&q|R|%tpc!7bzqnRwV*w zkxda}bhVfXT^#)a?H!rwzXF%?7Yd0XKN%;6&)+{jgtPR)@-m%?CuHx4@BmX` zGzN3XN`a|XG!Dl6!x4BTNHs(GOnRjlo41(q zf-@Ieq^3#gIp>;?uUxq_r;c7aiWA40xl#?Pv@MPgPe@|oWS{wE{}0-WD%`aZ(I+8; z03alxsCqP1qM5pm!CergM3ej%iS)SZj?|oKL2Ti_R8t*ZS9pd zC{~00V*K>s*T#-{-p7iuAL{Fe&m%T!RNn6!CGPnGiH<6mIML5iOjbBrpx?GifYz;@ z&28MgcCz*RztfLwoeDjWaa~DK-jQ%!Cn-Jm#@+9F(T=NH0@{t_+yPOKd!GBe;2fMD z2d-=IG|GlYMzwyn965aE!wDagLyX(mG48#?ISO{mOiD44yrhZVylE@oR=T<0&1)gQ zRH1OutGfdeyz^f4IsgBA3BDJHl-_yzllL=1p077K5<+>TZn4IJ zFQJO2gmMc``UjSQzx|0(-gS(ET57>TK=TFNA{!J+P|co^*-X!NRjBl1J=)NrR5goH zrRq{g1C(a)S=69nVLIcsrCau^ok{xmJNYclT?4L~v5u6ksQ`Hnaj1^o6(Gq{=R z*M`wlqea24F`|H}lR?rZk1^>`D4R|xw1N960`VpUhQ9e(Eu_EDfm+vyQ)wQaMzxU9 zMnt|1ch_PIU7p-(=k{W`iZmAkje`a~ZzE;WCj`FZ67vLTQ{NONJYW$$MxXPKFn1+F z-D#-?%i~rIGBQao1fNhH6qBZ;rpH@ZFqGufVZE}82m#}i)$w*IsTP3{q9D_*M z0kFEqztwiFklAc4IIrH0^R~ys4`{BjpYh*+(o<{xgCbuaT^-0JXVX>r@RT*TzCrrk zEB~*n%XrG~!K-SbEVmPam+>S8c)dR`vbOdx`ipTs4VHyhlJL}J&I6F033DjBrpV^K zMk)y%p|Td;&j>&Js!ZQ0K2O2gbTRB2{?wX!I@0|y!H*(CHSdLUQ;m8s4(+pD;fp+# zXRn_;duH;cRr_o-*-wu&Rp?T!DkLT2p>}87iZy+f3R!pP6$pVnE-+U`t_PxXAXW1^ zvQY#}YPjML(>hz3&xe9He`C$sWANKz4>?VDaPg~tVHB6z{$&LSbTh# z9@@_E0$CqOs4Q>=Q^-9XuprzTrm~Q+G&W>3F`%U`g_W}pI0KTF_o)W`EAi{Yr^ z4wT#Jn{Tdd3h9u(9j_WKq|uVuWtC0YHM9gg-aw;+g>Yz-JXE%|-^-nd5rmr9bx>ba zOOKJ-Nek3ys8s=^17j4dTTtV4a!lyqC|;LBcCs$hESemXM&bVC)TgU%l#3a=OLfPa zdP|7T6->&QUeC?HR13!i#bRp_x!agaivZ~2X&}M=g-WoWYLAgr%Tcve%SqlYUnpI~ z9t1g;$bGgZK0jbD51BzrAx}Vn_f{m&PDAcQR)(@?G>?A7@HzdlXZG22=)gOzibBn{8v_|09fq9I$!XCoIIRuo}PD3iFbnUpq+E3pyyg zAA;fWQ?l^fXm#!F?j8l@E;;5Q0b0)v2#a>W(+`;E^6EB@rvjT7-S!K!S(#TeTXKem z$<9T|8PjS+K}`Zjto|bfA3Q}>e=qWa>gcG`>hj?>M_$=ti1-&X40N-h~4QB#&x};g7ecavlCU;qrx-cyN zIk7a&l5&m;mT3@H;m{aZ-&`Z9FE;Dm ztiv>(7BIyZOM-HO0kt|(A-UxknwQ0Sv#i=2P262r{C(x{eQMtZ*FPwzB zBEI%|HOms118X<=jy=@p_rAZ1Xp6(Fg z&;@vx9k`ynd-o3SnH}RFiViM_ zSkN4#GRAC`lqSpIy#TKgaW9%-390UO`d+`k=W;As!8|IjA4ET6Xftkp)5Mhj`+zH2 z$=%}1!wKUf_YR_;rjG}bC99BaYno2433l}&eN5G=7peXU&Q+3kNF-CEUFDzIYSL}8jr;GUDSfLp=bH%+@A}Rk^_aOlc!llBnHuxHYPieukzlPr#gs6T%i#=gJ&c;1%ZG56&; zUX~f6L-Yv`I05p%f70njDav*yrEiK?q_RR8p%kb%*&!wgT2ix$xB}_lqr3U%!jYo9 z5dx%hSm!EzkHj?Hei;MB**=xz|CPP%#5j~SqZc#pQgQ5A{AVzPkIj%?frXFmsgm2G zX>2Jl`GEvi{Lj)>nO&eAjZtEf`zne#?dcbTTj7bj%;f)#IerT)cQ&= z94qVeH}{VB9~}R_2Mm*<&Kmu&vYqRYSy8|wJQyvD2ny>5Pve-~M|qgZ{@#PhZ}efv zB!&OCUZ)@QB&UZDPJW{ga+OxNOQrb-J;vebgM;7bV}QGh8{r2%1Wc;K-`qpo{Nwj} zX1YHlCSucftLSY#&h0!91x-u|73>pttNL)t>D-M#Z2@*??NA(5UEwCF?o9UNN-G># zvIs5=_`-jEM-A$R>FS z@5ks~sS;S+FmwPy&sv?TiTN_jpCAW^Lx)JHC?*&o{=yQI^aWcy&m3mqS4$YD4cy=i z11(d;q(6IgHc|!b8meDL4-pi%cX+D!KqtpA)4*F&-GP!C;`~vx%T*didA7Ln!)zE-!LkDQ5i2yh&}XVD+{uwTRYX=Ho}Anb>Pt7LHf z)K^7=$Py3Or2ba*XhfGt_^`qZ!;Hz`x%6b7!2e{pap^@^YRE8tnU=MkM~{)3G8Bp; zgp-jTl(+a5(fD(&xK^>$i0?P$hzC2`eYyDyzf%|U?bh(sB?`ELq7YW}q{szU(l&p8 z>_q=#o5(7+w=vj87Q}x&k1sW+e^?vNrUUlW`|1hy=p}6=G;+~dP%tho7ey6ej7{ru z6fnroUXDCT!k0DOzJUqoiX>q#&3n{`1EZ26E5#HZ#St;M)@(x8_G0AuZzhgJ!LT1G zm2Di=fejVR@Drv7dydnW8@7tF-WF*dkZloRLO$B^>T9Oofh*{yx-vOEJrSS_z5^5{ zp6O=%(KScxzDyIMfu(fcG&#o@3w94jR`+d(mJMXuTBCdn$`qyN6dNv6CW2QDYXY^R z+$dVE>p|^uYow6%rfHls!}*7e5`Lv>D(Ie?H`F~w^1j%R%98l9-{>IqcVKK5WfBu) zoP1N2O4|721&1C6 zj65SFiBtDo-JC|#&xkyin(0mh3!9WA8-?9m{u)OJ2XCO=1;6m0K~dzoJO%@zytWhG zL|;4^$*Y=>3vHkY)RaQ1IwCUk0!e?oA_4L{w|h#d_V?la6P)hD8>jC( zRqavh2M7}UXssjfnraZH%)i3xSBhR=T&@~Ra_9_XE?!*2i8Epqt4kxt^LZ*SS8;0v z#F4G^2v*LPq+D8*k*d))vK44<76@Qe{fmZdpTbotLQmY+RCA;?Vu!1%kqb#6MNZDmeyswaHaA_g^W!pppJoB=t6uvWRqTZd{apH>8*r%G`c9Bx^& zzrntQ$pIo-qc7YB6S(&gZ4^Xh@idqN`52Vwv8e582}FU?)?UT<}FlLoA*?9u00uJ$5VH$?Yn3Tiw}Kc*-$v zz~9_&Vr0~%i~|bYHkXZTwzv%B#ihY4DP~5Z`1jjW+>EmfeFnS6>g>hCS1)wCr;jFw zhK>=;=O8cQ*(O8c|5@~;pyE9%NObn($%tockg8Qfq^2p(-&{BU82hG{ zE!J!Y!4AJh`)IBr94e=*JafGQM8z^KIEfty9De}$B4@ApOz0<;XJs%2w-_xhmU=H# z`5b@ftV|DlIN&O09h8enwa&MUduo-af8Ih0U}=X_7=^@jYtl$H~@%3AKfhK8TlJ_0p|hExtjx4rqFJ_(WwYDep* z;NnLw;%c_cVARg8P->XL-?Bb;g&^bYW?3|sr}1Hn$)%j@YPD%mTy%O_X_irvvY|ZK zI{X1QY0gAW89a!qL(w>5-Av`%DJECLBA{~6CYIy0IoEos<+b}kZoa)&m#?;+n6pox zL{GNs?%=W&YCkpBY%~d~SF2>tNgpmnP7iP4h)F;~HQ|FQT30Ll_Y!mG-)1oP=nR&f2(%jL5T^I6NV5WPDF6v^k81n5u~34Ywn&1! z(P1}@+^3<%j4^^if{*f-KX?Mq0FD=?uq*ftEl2R$H|dzl_*iDt?`i)j)ix~6Q|RXY z{eG05IEQG*+)$XOb4~aVM$b0l$hrloD2}a#gG@=!aqM!6<71ySCoh3m^(-&+*0lkv6h!;+TRuK%R>rC-JEC zVOEGJG!Qp$?=z)be&HhYG~`b7=1m=Kmc)x~V$6NNcVg&zLJ^Mnivdvfi_|O(WY)fk zhUg`0ULega&+`KsrPL1*$|ECcEUOX;S6I4S7@ffdk8!tSg|@YOR9VnGjm$Hh=L6&I z+Ne|BzO$wgfxtC&-Ro!I<{~PZ+EBljmZ||97}EiLt6O%rSI0v4Vd#$q>vOxtNB$K0 z7QB&oCZc%3-;I7f;7E?~D(?1*%*~;iBRl3T?AVyd9S6cVs_8BJxTu@IT9aa$VYUAp zb|^cJ-V>ainv@sqgYs`oBQZ3?HgD$JQdg}>^Uaa1JbD<3cB8wBDK&6h0)mDEFAfgv zrbv<@swN5TlcAbV3r|&LhV(pga}R=lZU{usRIvty!iw*F5}CoD$Hngtqn+r_t8@R* zip)V1Lgkp0Dny2sB6$2&Lush=O3sQLO(s9QZVx(T02$g3D>x1OcU#!h&aaJdP>wVR z-s8KXPx9(j(Gr#xe}UIMA)X-(ZL%rm{En!*6G(&%q<@N$kA>hWML6-9By+qFYI988 zszJaLN)=vL(ni#}dck*X{WZ^my?WxU&ez;KkW8Oj$&|6vnsvyBdNArKcEEZQc!V%Z zoo(ovHViiUpoT#0TD>;SGlu^t&XJ=z+MiHDPGuNi5?!Xr6`Ga96)LEqC^J!^;hd5~ zxSi7)+9*-R7s4F+i}yMmRL76(AH5B@sITwro_hF_Hm|HZ{NlKP{U0dcUB14vXL;KP z3I|qtdVL)sl-|LUeokJWILRb>yUi1ubH$T?*+QV}7O566*n00f+YsOjTMzPEV1?hj=eb{NtiP>uMlyl*x zrR%zK$K%vCSjf;PqA0Lc@E@tTU_Q?iM-pA*u<(d>l3pfPR98++`!US90;@Q?UR19?EqUwu0Yd(sBC99>k_z07lhCpcts2s^ONu`?B+qbQ2v z*8mvSXjnE@D8PY(HT)s`{o|39;YS;E?h|Z)C4$*`{ZMa`cW}ko4`0xi^gx$GfU}dI)eBon@T`4V@AU(9PmX7>m1$e zYxw8*GyEsMi@eHk7j^FG-i(r#iqhPo_^z(A4DDOvIHsugTj{i@5l5gm0&iDU7pWU$ z#X_@Mn6te{=U%{9Qp`Cz1G^^v?MPOJYvwO;J;?CwuCN{y?HGKO=P*jn%&RsDoCYiF zI++*Iw1_oFy2Uc71t5Lt$6BZc`hAU4L+u0|NRP?M@j-+pb^(jt6+G|db%fW`jA8tc zlPs&*Wy$>q4nS~!g{aL*+nA;m<(i6W$?<6g2PU?({;)) zH>+js>ou~Ec=CmX;o;Sm7AQIvE_}j6HC0%oI9}<{PJ?|_p>{$NU8EV#F}ummeW)#|5?V<6wwyiYY2_F7v*72Sb>2WLVK@X(;h=>tK+L1h|m3v9UEm2 zeS_|i(f&F)z@HBVGja3BHRQQ5gF{f97LI_<_%X8Ti|W(q>4Ac|^o15Vq|to{O-zQn z1tDinI!|Jjf9-(E*n6VBxD9^xk#4ac%)xM2<>TDpAUI4CtGV+nZvHGyF^PuQ-;}{+ z5C!LJu#8bYY`$eGUh9e;5WTW;!~^J`0UC3wQM`xTO=c)g+A)?yAaU+RLcB7^6kAXY z%3S25hYz%h$7-G>o2qHCki$`YiO4-0K5BQzGXU8dqmb9*qCn1Lt7sS;3yiJQ+Nic` zWQD*XQVm2y3bI#^qQNy{{VCY4c*?=rh>1OG6D_vs?d~PiD0nZcna{p@)_ljC|EiZ9 zl&b=jG-yC+X~G~=3CixGcekLn*3i~%6jwq7@D>3KhJ=_=%oq^s7;K+&ta~g<3V~K^ z?NaCp18K&((a>~QDzhaOMxB<|ZCWQ@_>D{5jLl&|A#Ke@6OcQ=C-Fd#EK5>-u!L0m zdzi&&Y!qlO!RMWNedv&xn!zSg*O&T$-o)8?j7D~1i29Y<)R(^2RJ+6!wQi|O?bT*> zZ9p&41G%=urMhD@3CcRF2KisEpS7bbn>p8(cd$`cs4;_r$PbShzBdy_0`r zr3$F6V7|ad+Wv)F4jqQmWBsV_VK6|eDb*31>*`_&wk-rZ!4gYg;^{Ju{FHrAH34yw zmDH9s+|bk*)6gtS{OSgcw;FgaMA6VB<)v|*s~HJW@ds%RNqn9(58&P6rah0IfRPGo zTr~sF!unvysG8Pj7=}u9x~5~@y<`|P?m5U z*+6Ts*0E;l^k`5gpTT2e_|K8FEIbBTyr3v|wQ(#yEPrS2RJG8Q;H{O{5k>|Ib+%h; z_9V$*-4IxC%W`jB;@P4PeYcd)((ejiV-$8>I-=im&_ggDX8_Nm+h-OQ}$Zpew~ zxmGLU<3t>GHL~xBrPL+{<(@mVh$0#mjF9{!;YZgQw=WUsYO}>LMEUhFQ<6SxikH+l zcRuIMzj{wZ6IE58hN>#JRRh*H2ACeBx>RkBlW(d+e)~2T_$C!)6V1qDheQ3ZbWvpI zM1V#KI^zVpkl41UrU3jkZyioW%c;~{+&SvK1BsyM8Vrfv8zfK62@t~?ZQ*E;DDec%C7I!d zDo9vEu!mKEm&^Wi^H`zK9F9ntuM9ljSK5ZEWCi1+BeRA-0S|2+N5dy)FO|guuUIE@ zRHj5DJMbWk^Bj?r7UU>5TW6JKmH=(70Y2Q`1Ts^+Pa2!x!|hENWJ;(7p1jh)P(CSq zv>oXmlXLKmMxk5W{Ku5}vQw3{sydg^r?whl5Mc}kp`bi$2vv95db?Q^!r}rRcF;+Z zL*%Gk#)5}q<#4?;cWKte1mc1Q=NP6&UyIfTD@CJrF!Y{RIQfz4$n62F7W(pDY@&!Q zL7zBc0X*zEM+-{g)xjdcWy*D-4<0-iDXme%Q6}IN&#-h^e{o2}&~*riT`F67gwzJ{ zO_Lc8Gd0jokBWc+Kb7hSKM%C7vt6+Uix2K{3Lnw-ZovwNRYqiQ`@UH<3h|n<)pq#} zAF?q=NO`00h|Tdu?U4UI55Kn?X-Z#9jl@}&(R=hEO0s;r7)m;`p6o5kIRQL8?xejv zsg(WqsOEl|#Cibgo)xsnC6n-y@JttyRb8d4m9{r(GRRq+8w3FSt$Kp_5t_^rS5VE^ z0d4$=H!7rA_xKuHLJF!ai=;}iaixYmZq{tt1RBs39aMF{QWOV?#VH~eQCNr7(jvjJ*lq0ge_w#=OE z-R9#mBwMjSjntYUu{(<*>74X6OAJY{1Q-lg0^2rapjfH9ei@7gRtggray+}h{8l@& zDYcLM`wW;>*ZUT3?M27tLHmV`gc8u+w5*@(K!!CV>VR`tnbG-WXmAs~R7!>q*z=Rq zeUgYhJWoS=)ULvz+lCOg ziTyTLKG0`t^QFD%pwOc-7ZnuX)|F*ZBh-wyn_^W=)6C=6)G2$S&SQPt)P#CvkzF^Y zS@4(o_vSZ`6@xZ5S;^6&Fn%FnN>4rmf?jK*Q964T(=t6p@(AZXj z5Duy~8kRvfQ!SPQ3)-(d?N;u-$RxV`MQ)|)k+%k0gc^r?k2JAajBd_?CLeBetM!sT z;4|lEjokJIw;9%mPB6R-VtJxQy&(Kqg!b#AsD(Z)a8)cpd7>b^#z>#2&)keTnu>^o z03w9g=Fd5qH$~I&Ef(_Qku?rcX^Fre&+Qn7EkUWTp}UN`-@WCBj6pEv*Xy|yKs5*#qdX)%wuPZSBj{#nFp zq+P2m9D9edFNhb5GFjkqj_2=01*TN5(kij{0u@ETPAJq(xe17YT9x8_iVrl|Zcx8- zp0r-7&#IGewcnFUh`jo`Vh!eB=&ChgJXQ5h{i?mg@Kt+67?$w~PL7jD0 z#@1^MNBb}%LULs;J!( zUJb^oDo?H@AV@$6wAw1oCIYS~--gmn`bKqgTHIF$E!tpJ!_-*dq$bAEJWnZnbv0XN zOdt1WnVQkcUGYHW3-pMEzFj4f%oOt#j2OeZ36tDenJCwxR=l`IMn27Fc#4TE)ZA23 zP@<3=Ozi}hU(POTj^cDa&v25bn^ch*)a0Vy7Rx+ZQqAW@1cP2$TaBJA>jLHu*J9$& z_M7d%bYKk1;$(+018?RnICk*CrLjV^vQbAka8G*1R*vG~uym2+0(38U45HzIx9F3h z7}C%)pmV91vXIj?)VaPnk}+}8l<+S!7!+@_bll2hL*X^^l=c?xR?MEMT}_nc?UGqV zs+yK+)U7#Qa~-iiSSW1OF^AoMHrBi|eR0J<=~o;mzDtN}vZ)Nkc6Wm8ane{#0&!NL z8k9lTyd**+!VHh)=X#cpHMVW@fkxHM^tl0sY7Mq_C7yQJ<_(gPgWW!(XxTzVa1?Vl z*97ugQdwY{IWb9pbiQpSu>?TcnZzzIZJ z5tB+*79QAic2SFSo1&H0>Y0`vaIp(j-Ahve3&X{Xs@f3lsH#?xorQ^cRIcQEG=_9Fb z1R|Z5Vuu~*B-pF7DBeMj!=CzP`)!b`rUv2Vt;v{jYFTU9?ur5CbW)QW*IWKlTB)mF zD&fmGD17-Px&WW2Sq7&)(dH^^Ecv)o6IECz1zJ-2zG%XdEwqA{O(5%r0#Z)JU*+N5 z&Y5l(rk!sAw z#$u0iWEQy&p^5igKRLW7YYXWQhy;${3`kd9RNN+ z!N2|$?8Nfd$5WTM`8%IG77Vn>w9tWPs>Mbf&K>iP zt?RoWO>*wYdGr59za9Fl!g#=EjJj>Fw6m9cDpWv_sjbN8wACr#W?*R!D+CetCQdzy zd8a*;$g_r&XsBWPWp_61!q~c+w%<%gb-*rd$CHzziB0Xo8AS()9V6!rZabWkkj-7= zHR!csGt^!9l{?|qc^j`vi1AE$rEs(&XRXZ%jo_?>*5{++1)oqnADokIU^ z{tB~U%g2|cGs@>Z1aqjoNc7IO2pVNWB`x!i^A4NjA#yDixy@hcfb$h%AM@LMt9EV^ z$&)!TSYgPwcm+I#8_lp(Y!_LK5;k#}zAwORq4Dp3eMuV4GZv1)tER0Biyzv{$zzEOdq1=c58Iy+#Rzp&-zEsUeZia-Uc zi{TuT;nIOs?Y8hyo40t4D(e zipfz!`oTr?@1f8(#;!!q!bIu~$B3)?s6*_!P=sVi?d%OXso>;LIe#+g-fqyWpJVvd zm{UD(J57`TE)8byo8CO{7qTWD3esCH2pk)T?YP^pKqu-@S8hoiR-_)aWJrvJeH6sd z_z~5F8z?&36(pZ-v$5zv&?drF2LDQumiib|?La@48Yd=0U||sBpu~^w@_2w_s#n-- zVEJ1i#}=$4^BC?Iy^p6!7A7QcSkH{muMx;nGzBD)ZlJXKopG3UJ6&Oc%{-9b@rdxO zE5Y|hH4T$`D;$(GSQL~F{96o-w1dAMQIW^b^!fAXCuD>_bz{#RVO=+x+xcbn%H^up zsnV@p0VqW|XSU0r6U*St#`!gRu3MORiEI|tpd)Kt+z|GKXe|_JN7g(Gj4N-&1>Cqu2Tl#Bk(R=+Go7<}g8OWQaNJCG7qfKP-K3%iWCDlL}5)fMD;9!JO z)C8y%su4r>agEM>UcfqY#D<`lf7Ryw)_0^vxm=r{`sw2 zt~O}NZyMWujmMvD?%HnjuCwKDZrwJRABb?8M_}?Z^E zaN9UA$H)E2PrrZKGrz{+yajb?dN=u*zS0>VqB~=WapO+X#Ho60*w6NkSbc`c*LoIf zG-Hr@6a>|1c0&0`g@lRA4y+u5ku+`~UCogEXhBGsv|U=;X60OCT=Zs&#VDE^<^Z{-_``__s%6?HbBJQnomPCbHYeU1Y} z-VdQS2j^G#gH*BEzCgTQTiI&)k-suH1m6S|5C2$wGbzd!3}o?PL=~zT=vta@;V$4m z6Lrcav74}ON{f`at0OCmoLEwPZE{t9it0Q@mUyr8pPmr~d~@g7j^!t?dQMa}&3%@8 zb@W+o-qL6FRJDFT=L5fvzFYU~=)cv8mS^BC!|lFx&nSlVydtd^uNCgdjttX|b-R&2 zxB5Tb#ym;GgEjWY`Z)iRLW4Cy@F}pYMJ0QDt5yu?GDi4wwSlEy{!71!myj2Be9ftH z#6a3rQRXh!v9-FU7;wumv!Gqm&kNYGU{ONEMY5?LL|-;~&SXkjv}J_K+tdOu*1;s< zS~%wG>SX`o_>3;AC7B@(^l?+P!VCA8_TR>bxJn)I8HaMXDO!mqwTF+am&WR@dfC?4 zeHMVg;LujegWXDBuBXL$Sn{Ac_%X)1;j5DO5{#NiX>QYN@~k|=_T(XmCG}#6o=)~) zA3xcTFi3H7;@~8mDvF1Z#hl{|kcuBg$$UGL2q26)e{T}PF3xqC0^6h*nkkN0YYJu zkknP`)w}V!Ota{)hw0ShH#CNLZYSeQz11Smc8<#cTOMZ6P10QvCu8_I(X-3H#*qp| z4P?h>N9MfU38Cl6Cbq~4ocz`jk+&vDFg>lyA%R0x*(QYKU4ck1em zIgq0u4q~#9rX~F(H zh+e4D1-=POEVeB_ZwuJ4iX{pOV|`CiEu(6MHya+SXVC6pJs8HpIQyfk@fqlAZsm5@oMAT0^xKm8nz|7upj_Xy|eKQ{8H#w^mJt31)42HE0*?xKz_KtIA@T24Fc| zwA~1e!8kV?A`W=9#H*LE9VTY>C~SuHNFfB){~RCWoQy-fvmzJHz7RXXhuWC*6Rsd|nW`*l?)x7&?y zAetnaX2?Ych99m`IT8ewn5xoTCsKjM-}Y>oljZ8kBj_A_E#hJrRaWcM-Q5BIMU_{J z&BQCbdehE)(G)MSUyu|;eM;MS5h}&<*?*m7f_DK`8YTD_9qCe~QBJL^hViI!si)~Y zdRc6uPpJ-J)Vo>>fzXDNAw0mgf=k7lfez3?>lV3bMU+4LY^h`4@H5!_t{+`#W_@$3 zsL^nQ54W7d7(GTwSGXz(P0yWVtK`jV{cm@J1WQgh{)4;`8bfn&(tn_v!6vx#aDIwpyFwg(gU zX1~y%C|>rfjuD1W6HmMAv&NSTo1TX6uqJ{l)M{2=`vo#pA!PwhXg(Cs4ipU;o<$yt zd{b;^%Q=;Gi1W}kHd(=JCC>}=z4;OG{?aSWGUQ93hPd7NncViv*=1;AnOA3xI%{xI zogKE+G}08FJogo7OQa|~had3MX?x;nb}^@6_Mq=rw4d;imIiJ{E`!fmwqC|+-=SIn zsm8ii3nFv*(59hxpDC{7dsx(haleB>PnMpiXr2ls4T^x!!BMMpN{F9lX!v--t#`KQ zlksRCo;$YJNyF2xty@y?IQ$OU6;$=7(oTCk3R#NF0*t9mv_s*(4Y3ekv6RKlpSiuQ z`XG8%i&oyoRK2|}NW5CWC%Qt;g1JVg`8KR_OME+4JZ=-N%KR0QIRJiaJ2Ko5_7M3V z5U#5b((P&_6$_C}5$cR;tKcBcV{qx-q8!W^t|*~5#hSc^EeVwRrtfQk&ZY06b9Pz1 zL(Hg*bHzrWZQ_sxyx6RL+qXCK8(Ca|7cSQ28%vAP;~;3_7Im1*Cm#R6@J{xuA^dS@ z2#i0-D;~nqukjmjtyg8Qo-pb^AYXx?-UWVI7`qKRT1vpVsXCEu(qJVLrj}|}E8WRU zrQqE8p=fgOoz&h%JQDz5{dL$=-LW~Q zH3>XFeBS~1&{EL@J756MvbV3;>)@^p5hyxjwij2fpfyS#giOkvEIbe@a=L&kTjqBh zDfx(eGrClV0u;tK``_NHC;MyBq8XATCmWpt3J~wUhA}9sLkW5in$Y+$b2jF&4ClXN~?+}_Qdly`7(6c^~(FX{X>J#&Kshzd8wgldU?(R zO?G!1M%q9jG|9S4{zJv;qLhKwARv1;>fDJ3d?=#LW`5b=+$Ru5eftu zHh@m4)^?;!PyHPal3>*zg-IP#!-H5aOj3(LsJO@`AQkhYOy4VNP?wjb9>evO$Hyoqz-HAPmpb_A!SU}m^8DD$i3*8Cj5AwT{$2Le z6&V0TA=EUw52B}{xGm4p5UIsG*#J8nlfG#X8_{Cl*&oH5FC9z%sV!g4FlomSutZab zT1IZP!{uAJ$x{$Xvr{YamdPH0qfV7+UvWrLAzI`av^0&z1qlB(nbUNJ_-`65gTW%H z4=1?3G3_*-#uq?yK|hLqR@>0J=xVbh87+dz0W}_X3OxwSXZV z9}>)I&HGMv%?=ZE-R4hlr4EreAz9GLia>!#V&PLIMyejzw|JAKu(D1|*q5s%@)*MK zq_HCB)%0b|;tKoOcZkuhMb>=@45y#{8g3F?K}nTp%!P2jsuLixNJAA(y&-<*lRr?vPl)(xKnX#qZFrMP)p-HM#^an zwq={!6wU5fRkKEF!mgQpk;bbudRoAj3j0L8WVW`V`s-)M(tQ=}os9R?2yHGMF%k2b zYSIqsxl-9B3Q$HYH@`h0B4l2X8X}L8ps=5gNe)CJ5%iAFUOasD!V+3~7fl|4v$MWa zDXh0Ka6jAZ(0}uuu6rC#U<6=+9{D@3spdzrE2**NeGg6-oAs&~!#@_17?Mf>Qvx~M zgCXtRxa^gET9;0fJ^}?*1<U#-&0XlP&4@lMPJU=*7X?AfS>c z5^qO@8gftuGa^D|3a%X$qcDSB#pxzq#XFJy<88cVrGlG(T?cJw?Ki<>ifRah9}etNG`E7liYvPn%x;*6J7^b&QNOC@$7-kIMPQW)QBqUxR;L-A z`5^lC_~?F*+K1Jf7YNEw?jVM5VhW#F;Z$gvVyG+~VCCHuk)_w=4$B_q>BHY`OTKYR z(1&MH+QPMkY9T{*?zL3F0pcOZNfn)QED6=p@m4~wo@?Vm7k8_YGH~bNa4xEX_zuep zbrSbmTxM;YR8I0s3_g|WbbV;=n#^ny`V!$R7Zg;DBY?XA$M61Nd&jsB9DeAdX$;tQRWjY$))_Pona*%!+l+86 z0*Y68WrtwI=Dc#A(=Q$C+8VnVRG?dzNhT6E1iMw?)*7ba zyJZ+A@3x? zpD9dHrnj3;@g;0{@ZeiXrbPX=gDGHIuJGSYCEx+s98(@{J&YzHTbIb^2VW!erfS|l z_jzufw4$-t>GFK;Cc>S`5l@G`-QB$a-(D`j7;Oi(uo1al8oDiIYU+#RQ*tZ(ylsV9 z`;62Mayw>8u|@`S_$(Gn7#xghUc^qCh8#zmej<<)3oY(#JKQ|3mJY~ew-&eLvappE zrMYYS7!}yluxIV=1s86UTIRLO=(T9cuif1!K1a_oCk7I@G8cl*@3ye&Vtksu{Qu4Y zEvQUkNRr8smp+fH4MIF9IH`Cv@b680!ITre;5{tJ8yFZVHEefx`YHEZA;ZuRITrZ- zU*o@7aM`X05j|*h)Wnh)B39v1w0emA7C5+yb;zM*L^@HvMV#v5ej%z?ABmU#s9ZMk zRlI;3A@p67A59+Y5q;8wJ-ofXhlkf zDNuS{aiUH-Yu(%iHu^R|V?vn%ivH^3?MWwUOFG&2YS^i7xKfxcm|Hb5q}HC@{HOOi zl~cT|Of&7Nr}m+-iS`D3Yps=)qC+)naxvQ!1S;Gcd?={UfpEA26e38|%*j~;0I4-x zDdJE+MDbG-U6^E^9SjIPxkF^3cq|5X&gT!%DZoH1{)zF?yCisYf-oXyZL&YO6D-yj zis=Fc^&&FxMx=pX6}wG5GdF+35u|xzKF>iVN@Yzecd))Wi;W1EPHp3lCadf$0ybF5 z*?IzPTMJsyj#EuaJHeXvQ5Q#c&P*)Uy1Q}4#D=$7E$Sp5!yZXajJGV3Bj_(6S0*t- zlD@=0)Ws^Tq9p(+$(;3R^X4mZTrC6_B`rb~R}I`jwvqkS>$B)Jd}hn&jD`ek@+Srx z6kKPGqJ(CD&`o2+VR>CSv3W1eW9yO)>~LWY4uUEb*PS5)O&uYaW{lkPfm`z`gWdvz z$iB5|*W4b0WfBu3#LA&vzH^YJ!( zl=8pZIoG)bzK^#B<`DF=Sjxzz1AI>Rs|-D6mN2habL)7<-P%@C)dpzBSwa3aR*jg$ zE>~3mS!zxMA348X)z7X92jobwO(x3f4Y6h;%z=#vfDA7&sVE!_`i`MsWM01&OlS; zWjgcWN#K|~AQ$BUW5{%iFmEUKo0zmn&H(IDVF-H#YyTQtgo=oj;ubYqEiJLTJCSf_ zl4;yYSkoCn#5hAYVX(V(%X(#=iQuNQB}z-ccbr_tU{hY}N(KysZ;C6UekBS8j5!Fn z%%(>T{@9P5+W0|^VIm%NGCMBgGy@wZ8SuWX18nftV#K`&{k#oMBsMkd*AB&63Z$-v zMl7zY26tKS5v&f1mQB@{+5b|f54GCuIx8@iNu28oX z>~LjURn}-rB-Ug229+aC^>S2M%iI}8LJT!-vv^K%93%m;K?3G=&PjH5+VI>{42$W( zoE2aIt`e@y%fTt7#eQ59A~JSJT|{2j6g)oTXz&MC30V{f0f{2FZr83CGPB&R9IDqz zVFY1{1iFOd&%m*Pd6~XXNM*UU;yI3-+@7Cf8b_U^6Lx_2)e;w(HEKmaHvF?^71)G| zTMGtp)S@ob9^jG~e&`!&^2Bsl->vx3L4KWRXnO}Y6|J%yopRP$BCFN*n@VV?FjlRe z6Z!3v*_N`xOt0IK+CDwS6#nVqz~<3z(JyjHsPWHDTaZ_?GU?jgw%T9!fM`t=s~b=Y$$ z;%9}8dQ_CU=?G8H);zbpqhci(dyC%J^vfSufyZC|Kt291fABQEOi}+J1M6iT|MCYT zKa!}oQ~zFQ$mn1q-mu;9`mnHK&Cd0Qt3BkXBaJ%tC;$?NRK5-6YR6}FxH)bJ)SlPd z?s(fK+SxeXRu&kDBn=?A;y8gSuIy^)-&1$uZTVhtjte?|8{yc}vcb ztN~sD96**A@MU3$Sk;Ydq0e=?*;LbQxj=Ix9^HyloIjY3YOSUe9X|dcl{?@3m3s~L zdZCC6M8Bf-^$J<6+74}S0^9u-+yl+@-9u9%#}vD}2V?lpq1t@otR&JO8=dd$rah47&@f@^T+cy!TsT1f+$kx6aiNxamZP>h&X!KM` zE<5D|O02_V9!S6K_Sl7>te5odDQ(i8v;)^sI?w^iu zO!2cA4^SX3FZgQQ0#rX5z!`nZR)fjb+sfd6*k*8o9>6~F(ckrv6(uN zMAK~?X9x+ri5J~5vMU&(P1eTE$_yqFI`QA2ttvoj9nFv6!K1Vrn9zOzJue!c#EcKj zu135%ipSH_koX6@qglMI#ALJwPIdZL0*!NcXP26;)h_c^v%q;b+LXqW6v-iSWI>@h zloj~m#iQ4+aU%R{jM+`GZ?jDxqCl?KR}Wr4z|g^>)ap;_5^wVTf^B20w)|D}i>Go@ z#Dqt`vXn)Na*@W-k)pcDXLv?Q3Kg*5Hrhz?ygw#!gpb+n=^P1 zt7wJ=epL26AAy5Un=tq9W*ZP&t%V01#nrpWsy0cS5CF(hTn$lS+A1Jt*?Am&3Gby~ zcjrxC+o7lnn%MK?NUPX3fHuN;-uH#XYsE=sK@_xdC`UMJ-gi-ta>Z&|b~ zg9(oTb8k=+W28>@${xToLKAQISQ$ssvbY@6BwLg)n2lRe4Yl}Kt}xz8OP@oxOhibe z-|c>aX4zeDby>WEGrj(c}mRm^S@weiBV) zaexru-_9qwsXpmd_3GA|)ykg_PzjtP9+T5k#ZWr4z}F7AFjRY%R>C>f7XLN?L325^ zW^$PITH0U)N7qwx7R9D4V7;EEfQ4|^+f}(CM~E?PYmyq4QNptY*mCpgzD1u^uk0d9 zryV=^Qg6lFse=X@0y82hvb)F-1^- zeoIEJPNX#uUEu&7R}T`dl0BR}M&+>CvbacUgj{dT#MRNJ9m1zb(1EG)mSvKtq606D z;g(`>TjC*W=;KNcuR|r^kO;U_rY#+L$GbQdQ?>%Ztf#Fxt5=N9IJMt#^tq((zvT3N;DJ3L(Q}LoyriHZd&&6su(AqIJ}u+rYA5;o4ix&LAt%l>smf3O0&#WXL_1{zQuF=V`e*2pj+ZhIomWWSWWqBnKCd1zv5m5n|; zMaaN`+L4SRq1->P+BJM&__wi(UUq+GJLcM*ND0Q5*R`h&j zM`bd_J+rM(I*qP-r7r5*FMYm~uz|)XSq}@#aN_ogHJ)$RDY>R^pVaBv%quYfdsP&3 z!ki6HMjqk|=eLu)w|mw|IpL6LP2+3vyOIivlL*Qa@fuTi96p3tfpi%d9s3tQsb{_# zQeO3F_1Pr)tiw@Q5(wyx%iS4(sELlwTj5w@T%d6AFLUO##E%n~vlwT7(j>|a@6JbnR6{*4Gm zNfMQu&T7XOo?B|lXsa}lePL?Dk}ThgeiR)a!heoV@vq(J52C%3BTY+A(S~Y z5DKGwres|mf2vbk#a<)-KJpo-NPxv#O(RmnI;We&a|<6^5Te0HShoi(65{S8^qpXo z*Xs;=I?a-ip?TPnOk+Uf$0uE;{c)2u?dg4Tr| zhRx#SLG)mkQ-7ZJQY9FTOezZ;r#=@=Hl>htC3X0CrU2ssnb8V25emW=Q&7g=H z9T|2MZboK)?(W!*HF@{H4>hOxzWLn+)2cI-+dE3z%!kpuMz$aXiIk{uFLLG1;U8N_) z^*Uh#s3&@^!j%q1d}b%^StH;r^zB_T2TkkqN#Yu-<6Zf;#}kXh=|vG z?_FAPZjGQVVC%4^+INrv5@3cr$cyLCcVLTs4mNB7WAyy_sEIOHTJ)Kq>^uiP8s;e~ z0{Ck=HyclS^E>yOgy?XivxzP}W8R5W3kba_UTyR0ohQ?1a-_Bk)p{epmR6s%2+15y zSv!afwuxW2W<7xK;>55Yz?%?q2HbYSDw(zfxYuOJutWxJwjW-G8AJJmI)|QLO_t;s zRnY@L-cv&^;%&Nufi2;UfQdM=mpNmy3>5lO(jh*CzgEn~`zh0jN*}rFbyt-%`^IZ7 zufZLd{?N(v#;im8kLzYA@gA`TZeQYoUq!Xq(2r?$SP~MxjyVu9Q z_TFy(+9x)P%BOI}cn-VUripga=2$sTGxUDT1is};Q88vKXHIX@O_tafw2?%DF;CC? zCH$}1;0zB%%k^eTBzc~m6Y<6}zQ%A0P5@Z@a|MEh)o8w*!5I(1QY*Ey_tIUk;1m&N zTdm`qHEiVUAT$*FCL6uLYahc+&uMSoGMRvW9ECoG$He%P7KV!rA&4(diRj7!74(ri z%YfPcyQT)$P;wZMe``;y1Q*77ouN_dz#UzaiSBrNxuz7|-4Uwi{&CFK`J(aCpV2`Ml|-v*^wG82GI%n~@*WSIaybeM>9F|gBwof>7u+H~Azb5$ zh3FLU-Z7674Li7biIXnu%bXfgcJGK@ZP&bjz-}i(?~Xsx5Y5^pZ7I`b&MjDxW|{cr z7|e0eE)vcm45M5>iU#Hsc5?K2G81;FfCrD{g+5r5$b(f$0GviCFRWV=WUkG1ZoMeD)=9C>5PJI8Kj}{@*c2JC6~OyvTI+#Jqq`Hm1AS`N71g_Mu~ianeeWj zJTHqYQxVmm*q}BdT+(^sKeBoDYw0IiwJ6Uvs>^t;;u0KE5?Veza)g#&LFWtwuwy*X zQl%|+qmC<*%6XHja<4>}A;31Y{0-vCTwAW{FzKeM0@LDxQANGMbwBjcKeHouJ+zM- z6pxiX&>?)xfuIei(Qp3t{TB8C7XZT>hHnw{)cNR1B5qV(Kd=(l&?dWYRRB%i1T)q3 z4{1kJHAr7Sd_MX$sIyLX_tBC+wbNp*HeLSlQiyKiu)({yTBgXnxHoA`AU5^NC~x#m z9?DrV-y7j#8w3If^?zg)DEnE&UOnrTK~yKTc5H_01s6{rcjgfdjYOy#**aP7*`#Xz z!EEdk42n%?#l2bIYh%E)d1q;hJg+%-O_Co$AgDg?QnRG1NkER_9gZbMe0<$425M8RdDSc%gmJ$>Z zl8^?bzj4E>qiZ}wBKYsPQlB6(lvl=IZDDxdHBHOma>U!=GEt!(2TQ4env`!9xS$CS zPm#7`u85BVY9u;Lj6y9dL3BimBu5hB2;G(iVn)qEPSF^=8O^zWgyvjp-FFUNcW=y~z1Os*odN6&*$bA2=z-Hd_$&2;iV+k|pgc=p8z2=5z1*{+Q+cbUido3LIHCZP{ zeM{Z7uAYe1h!Cu<7HxA`lWD;aI=1ysen`LpOx@!{$w&Lt{5PR@BUh-O;rJt$6dd&`#SKyLW z+nwlOGUk5W{Ezo)LYTH6*I(o@pnLhcQS;JXGaM;La3`z}a^w&kDmWlCt0QO2XiI5Kvdwl6J{xfdr1f|87m z+AJ+++jP^2+!6SooCdR@MA67vU71P~wnXX-?cWkp;%itB35dBM_~9DihjJIIunkr6 zHr9%`ND4R~T5!_0y5fy4@979Q#{LdAkV_&ox1%Q01i>0HSpO24Q`UcNp?1s^dQq5M zN%9(a0jI~<6#ET)w1%9Gv^|9tF`w+qJMCS|R=y^eD=r`Lu zq3qa;1f@Ap^STMc&>>J$mVCaM0aUiFJnY%Bk(t7$bDN5kFv*+{VnR*U>~&HLhh{dMIxW| z_{EFy)2GsET2bjnGqgZUC*JZRp2gef zi#4o4kK_3Y8OQSIi5(5;O1grri^*!PSE`yNN2E#g)e`Y|uIQ>z~{rHrII#_XxJcAnQ4|$5DSVhZgwD57Wc?X3DCiEvIrIyrP;?zjA^CquU$8Bi7O>3}uN-#fr$|H) zUw6AEasED4Z9YNb=*nH_b)zcF42^$|7ezyLx&@KmiIN-_X^Ihi_2$#@iMk6s%{tAm zjR=a`tkU;zc3Gh4&U?q2a(crX+~?HJD{9B)?T5t*dm7J5q|dX635no7u9on>lif-F z9{+c~8-0iWdo-2FvAtd_x8R;`6C?KY75}Euw80@U^^#xxfNRTP2uB%P5 ziiT%pJjKn005r}Wu}(jS`(}5(?{jK_n~sKGJ^xnjszNzy;sU@>2YB1NSTb2{tvH@J zuCsp5jVx+WHN&lT+C7xGOyX#G0p8ztTljkvw4muE@2*W+pVSO2R#~Bf!51rhztcUX zc9j#^{t#?-_qMOhbE=bED7`fhqzvZWsuju*ydoO%!G~5CZ~p81wRl1>SW^qo+$F&9 zMn^$HK?agGj591qE4KtVR-zaRRN`&+{he~Zx=}P0j#MBqiD%2vj#t#E+nw-f>MVsT z5{g`>=z-g-M=S2k3*QvAs12nPx%mIsP=>Qzq38#@+Z{+29rn1DNVLrQCYFnKWKl~D zQ%6V~6d=3hIyOvH?3JKs$199rnwO-@w|HPJJvgqV98zJ(+?Pso?0eGBUs(Riz^)3|Qkad}lO4^!nfE<1QB~m(WxumKylmK=@#(j(Lw0qpl3Es=`%Yi<#oKheY+&O-e0RaxKC$^ z>8ZIjJbbJ680*p8ASEAf(H?Jh=O+BL>6t_9*RY*KY-~J~N9@zQRYY0OCI$*DokyXV zv~&Ab{kK@qB6hJR2FRlSm%Vq3ktAE!gETY8$O6L)5)be|u(5Ymva7l)v+g}Umb$B_ zXXfm#o~CPV`^*f7$jqqB=*rB<9g$hpHMnFD5>J-=fMg?HkdTn!#S)efFJK!#fNTjQ z3oLj8aS;y|=4K=$c;LUSwf?nYMPydh?B2%~me1_2$cS}|6>I(L|G)qHwtn$=r)#%; z$%T|1Y$x%M-bb*_m08&7B^=wNQMd^FoFk-6%;s^FtmAG2BcBwumk!l@fwCTx9FBM7 zU!$Cc5kBnT&I&z;b_g#8+A^8a(b3D%h}R(gXB+Kt$17C_B^H`-E<>mT+Tj# zhrmy(i;kY?&*en;u|aAb%#?GH-3$_J(Ti(*tXg2toc}V`P`(>aJi2)#eN)~e0&!{v z7#Gec9ql+*NK(IrcWno9r|<9DsMcZy+f*^UgwyD3@?*ks=&!$$i)8(*OI&WzuntAM zsk)+UPUXj{p?^cnW5j40XNUWY>!SrU_Bt^K^%9}{&*?QKuSq6o>&xe_yZ3DMH5m8^ zWtH!_50(t<3UGwa2UOuXW`M~=cu87C=9XDDBNy7es)ge7!3{2PTfhALnSc$_QAQq* zGPYg4;a@+60jnm&2_GA*(Wu^-dMwfB7cPyJ3U^5m?eB_i%5 zdm=08z%bu1-gdE?&u@|o1j(WI8daVyra2SRZ*Ad{G%kt}(RWnoW!CLR0+6asOB3aw z)qWV7-B&uu=z#prcLyh|q_+=8tiI(bpe{x;YU}i#-XJs|Qk~exv=~tTk+%gp(Wzue zGfU0rhTX2-+z4kWzQ9%TDHz1L6RHee$GY(2pco{RlsZz`fu0LH%{*(0#$go_aFrWP z6m)|&t(_t%O3A~|RETL+OL$NdQnZE$y@rhQt8CsfPqS(MF3CoeCu+uKdIOWbYCu2I zk2&w$HU-Dk2=92d;!JFTl58|p()k=uV$;!eX2a7|PD3jYfm>7zb!=}18C#o7k}I5} z^JQ{VtY)b3h0DYL*vj#1T_5l{?$GzP!%~tF-9?0lV1i8V#AZ8sZlP8Xg!pcpb6z3O ziT;y(w8lZ7PH$%9dWK1RnQX&xb}-H7Av4>jF;oA#U}4?u2N1NWv_FSIV;(pUh4z3t z4itNCfL4DRD&B?2cOM8cArYV3e~x281#O!yO(t996^6${oz9ps=#Az&It#4*;^?w<)~yGl4UjV`WIFy$aCJvP9vf zAq$r3y;P!4S>nv@WO|9m9CJ64@@droUkpf0CTh zX8Ih1f4@?&%QM)9`zHju-0g<23yj$Xsd~;vwtx%qHL2&Qqln0&>#Gvixizy*9Wsa| zm!~n|aY=|NI*ko9u=@7fOsRfXyZx+pM6Hk_`rFATQbO;@G5*A21InXBu9(d|N`x1u z0ky|E%8JO;VQ#DJb`YV$!lHCNhii^E-u`Z z96fdXc-8oP=*Niwv=j8L+|_LpD@QkEa}Q0dBy_s8FkICfFt*$++aY4Z<{%6;3=YAc z!~+x`!|{B~OKB*ry2j7q+=#6JeBD{5>47=G8y0V4-g)KrkF};+`9v6NKHgS%Xd}x- zeARA6mZ2eQ7x#?|MltWa@N-q{VkJM4#~S}tHB(_E_-Kb1p*VQT@?e^w1->Fn@@vYI z941txGoP10JxIvWXV`e^_%h(k2j)*@*quouEb**^4rTSh!iNZcO&gY1oMS{z9MlB0 zTkf0}P0@ZAmI6w>|E4w{hA~W-mpN7=rfy2eLk)K<_LKQICsam7BrlW-K|kWS3|9z= zAhin<%pVTBHS0UDdiM@?heJlT9qi&ieQ4;b&9w10#Blw%y39LaO3bT(Th32q7b-Mo zzu7o#Ij{SB{4dL7o_rx0c`6INW)>>e0}n>%JBB4w&ju|qn~!oZF{{suC)85EH{(~W zCDg#w`oHNAV&RKHDmPsZ61s;-O1c@?oxW#9&8E*cRCG&5ZVBS;Xg)9hf zlJ#Jp%3(v9P78bVn8w#z`avqxZEC9GZBbDbCon;fR-%MYnP7Ief1Z{VMNHlt%$qlJ znaA`0=K1ha`~PPtY?!FCfGV7^eMrj?1d#;YG&+qE3V*35lY6*R*%NL!yG}{jg0y5i zCKki6etB*3bEnx!`j8irF`OmV3X^kH2&h-{+Ig^y+V z6?RdzC7UAw?M&t8)({%7vC-S-TQe)~>@Z17qRWEq@0(LFH(sAM{dx` zGzaSlje*OR=U$4oOjT@ra^Xg6=xT`bZ)pg3BPtID(1kE8x;3wAh_I*0PV&s{PDiLc zpKO!x(qXbqi|Y%HspZRv@1L?>puHKqE*!%pHdcr<2Zi3@m1dbW6u|()^oUsU%rkhr zrF5LhNW1!g8eT{dZM6{nU1j;W?pKd3q@|{5KEFiKvc8_~YF}rtNEdzN!4%8`=!gF%pntSQB@C zWf25S(4XMyM|2eCsBhpUke=(Uyszx*J3vlYI!NQZBny6`?WHu8F1wWDGfa9))TAI zcEX(39>JQNyNy1r>!r_c`wbJXy=3Aw_*Vbc2O-Nc{<{_>elV@F3eq)t-5jrC52-hg z4&D!yGJd_CYd$w$<0jCV@*lq$F6HZ_zmGBh-6*&2tIeiLJIm^SM^?lI&fubQkOda8 z636kj7RoUUM$*O}bzfvM&^zC?lxB=8_&S^9!>Kb$2adad7TNuuANAVD4D2uq~ zoraZjNUibYM^pUa6P;nqh&0uH-c>PIad%Mmx=4{CU0LP%1Ji}#y28K6(>~3XKF?O9 zXY?sPMzyTmAZqc-C_`@~CE-$WWhQdWV)Gg@dzmf2=+kXXWmodXcp;p1Qua*K70$BZ zB*ksqAdigceU5fMHkT~vFnkbcKecX}1*A0QYO}9DQk2`FUh9a5uDtg7Iuv9WRmkt>M{RC?KhV@KT^tc_phV^Vi4SF}!l;g%M>;=6!) zoq9Oli*RYC20k2E&K~{+N}6G=B>p_iKi%Cok8g_Bfp2Winfh;VUt3ceNZB zc*886r{lPbRDPn7xJsFS-tSd>+SE z3j(TjK{Xa84JOOMxvUUvW!qHNYZyR9J~IquOe`j4s!2Ohz6d!d;e)~U;)$co81kc# zzNEpf2%oci&|zGK)eBA@p6tE2wW$@i<{!QtWetCQnV2LHV{ zfh+sj{^0x7!Qp5Ci#pu4o5D{A7klv2;cl;wS1cDr6lIPtst`hwxi+}5y_VIiK;H<@ zFPLl76;g-P;uczXP3Ab$pa`%}l&(0)Y*Fq!DVH}gu((j!Scyd-Qd#_)%K{_l6;?Em z@UACslKOnedNrt-)%ZTsWQS~n$DE3W$4L9tp<=wKANq%zSD(F_t(hJD8WRJqf-$zSt|AUX#=4giqc+1Kj)$YADXZ-uA_BwrV=gTNf7RNpj3}X=oLabXX#uf?R#pHI3eN^XwO@hQ{0vub%<|PG6xDx zzEFe}n!QV`bWE9#qKK?g!6jS9exghg#nA&~CA41VwH$m|O0VcMfkoBp2(#H*Dl;N7 zfs=8ER@(e6QFuHx?X^@ri^MS*U^_oMcQx)@YrBp&C^;l1PVZL#+{X-6O- zMM3y*M=ku2{PrE_JvIr{Q~G=xMlGVO8B)RycRNk$Vm~P~&9198beff2 zx`XI?ADd3Om$%ao9j8fvCk+T8Jn3KhaQ&9c?a?ewQ&d_7IQ7e=vRM6v-Z`~y2dHU6P@(ez{L4kDQpYi=g&I`HEaaUlE ze?Hi_x;H<6_MocL#pYF|i+fjFKLEtH6~3u0=k97~Im zny8TTGBhpufe-|1uCJ%I_9Z`hUCkpCsC}3@Msp8uULV{9dl+#AV#mKO3zS7u2Ot9| z(3NQ;%petPcLK}QmEYJFx*^&66E%qwu=evAWw=9M_Ne2Z$fc1b<6biaduxW^_Foqg zWNYUcthqJXVTt#gD_XZp7T9a*E1E@2W`fISCt`O|VFdpP?5$v3NBe4rtt+kZxRdmb zH!!S~C9!ms%C>|RFjKauS>bYRNf_uaEa!rEwgMOZN^m~LlCl|_%WOE2T(`JQTdf8* zC+TvYft6nx!`9nKEj&==%y}xcT0#RGw!{o$LJB(2xH_OCP@eugdG$ke#-$qswaDO{Aug{?-x2;{Y@THqhp&KDLQ}xsk($ERQ z!C$exv^;mt@X@dM(Nptir=3pbDu-c)?Y_B&&ew7aSSZ9BO|^B~i|t_!)XFQ=4masz zuoVl3%6V4qtQOHxZ>yjWlc%);@oe6|hP`r44eYuU@!M7k%=*Qm{VG5y;aId6ZyUMI?-&Z4Y^4^oZN9+K+5 z_%F||p=s>mOMid&QST_(>g^qMyX&EC4yg8k-Zuz6*~{;-_a~2fhsoB_Za2cUtNX3c zaIMNrMwfb>%XW}y7Vd5xCAWzvy^Qu|se_w?;$pnSM^<*}h%$F>|Ku8nq)rae0)#(J?EReLjq*8LsGuY zXdi>u95alM(PMi=ulV*)(MtQ(9LI6=B;kW}ag8Q%_D)%s?HhvOC41#jE|HZo6=U7K zq2EgvDaA)F)A`$6ClWNg9+axw9~GDI{ig7d6xAe8w!U8-ob-?2zr(bLxdhoR{P*B^ z-@ZLqLU{7M<_HG57FHNd&{iE$gYemB2Pt8Lbep5YLp(zq9q(HXIoO=D>c)kSD68F^ zl@Wz&?C+1@zk}oBu5MRi85GS4 z-d)yd2ecI0CZN-jTh-c_DRDs@z-?QY&#^ne|DNo_e=o2xc%^Gol4$*=FBMjqY>B{q zx#-W1`)XPgmn%b8l*vi_xk>BLL~!ORP?D7(sh@KiLq)f zu^6WntWhO263&A&I0_Lo`1arYFchYZr1mkWe|>P$KUI8w{zbCaJ3QR!v5xmnKhge5 zSZc3}ooTkj!>W!nbpuvTn^iyyrcHQIGTyaV0D}T@ycb)!WC-!Pc+& zB6DPp<}_Fgx?dF&HZgT765@chCCcGR_7E{Go6&I7TBja0(3(?Hfkc1D;o)jqnnzo1zJ zx6biXjd)>sxdxeIKvDutj4(8@|`YwH;4FK2dN-oW0KE;7Q_-EE7g zyVAUF(IF{YpBc0)u6;t-hm?2wSN=%2CDxMOtKwpLjcB=LQBbnvMG3!AjECqn@Jr*P z?UWI9Xd}XKJ|1Pm)QMO7-)lC{u81@W?67o589eETbXpE#(rD1T0{JCyg0U=`*Nz;g zz|8a7V`EKFtb*4}Y66yR!_t`A7duNHC$p-W@yc;-mYXxG>~V4iQyq=R^A*x}+{}c~ z&%e)!rCzW_C7+i&nUc$9hbhC%m?4+y0z(rbr<>2raD~u>ZCzINRRzR@0lu!6aUvGr9m>3y>60!DJR!10{B-;FU(bn-j^ zUxV>7qP;NIaY^QtsUZ(~ug^!j1>J{#nH9T|6_`p02Epswq3+wE>Raj+AtNQG)CAs* z%S9G7941UvoUZ7@!&i(suN*wU$;xTv8MEbs9Y4syoXaz7g3&kS&_%EsUBR*oA4Sft zc=?7Vsnr=$oZ?K|W;leGh31zW6~h&N5vlQ}SHnp$O-nGWH7mJw-{Zyw^JF$Y=*UM> zX#&gf3bp}q%H!hK4dN@Oum-P|CY%PAPFWxp7i`37aTC5&=AcmLmLW7t?E9q))DR=F zY2E~m{OM|0phUpXC=H|e>{v4vE4#gkCkD+_p*1!_6HcR8HObUMR3R7n6ukt~0txGJ z*zD&hjF(ktV1Hpa99dClgo1#@g2sMo4DJZAMcj~Cj5@?|2(QV!g^p8&U@Mm1A98Ke zq2}kUC~buuM|$*7#%_msEj-5+5}EV~9*%DcIxR|>wD*K*ol#S0Tud)?&6~kb!dTQ- zkIo;}*cDZ&jk50ij3-Bh3F%WORk~P}!sN*Q&Ju&$XxQJ_sEVto;bcqA8x_bZ53ld5 z^XFEkU|y$?(#>W{r5ce};GZAD2g0YBMrTX8st~w8oRmlvim*B#U&wIcWm#O-#CfC< zn(hf|2p8O?SHc!@!IzJbZ2)iXDs0?QKiS$jmIh#GiAL0Vsb@B-VZih|9N$y}zxgP8 zT1K5MMEyfs@(Yx}Bt@JVVo9w!0e2N)(SOz>899xqh*Y=_SDRAI5;SI-yZxzV{rQbtjFAsX`nRuxR*(bPJ1kjc|{R+Ssl|G_GAgs-?bD9dLwvJHTN%B=%x*hK&zDUVF`qYilp^c^^oq} z1YC6cFM7cxO?oNu6#o+s16bCH+Cz)e;7|8=H#p^TqgPd$UZ@?Fbg__JXQXKUyg@UiDkrw=Qbi?ZH{lsx^DuU2oc@_JAnbe zQ~2XIMYei$j4Bz&ojUsJRZSq;8ND<{E>^Dlbd2FL?0n03 z5*gw7Iw0v(d%Go`J91~oWiGCvBeM^GY@CEOok3h%LrSU_p^w=|Pv8-wj_-PA{!UKRGgC zPqMk`d#GzXdVwG>F;KEPT>Cntl_Nh}rqh#7>azaA(V%iAFEejZUcxjZswlz!_7@_EPy6r(HcJb4M2~qpZ<7}m_n57Qw zX9_fl+Lc6^IJ{Advv3`JImkx3$TIfPLLVpDT50Z`Ue7JB2mCZF*Zi*6LJ4E` zvr_!U#=&6pfNIB+sD7#PHwka$Y=P$yI0n?5NutrFZn1;#0=JO~onr9?e3Q=x(`-~& z6)~myCazJ#x+gy=m#e4ih8%2_A(U0}ZLiv-+v*JHM$?7fdb2_sRJuYXq|0J5%62Z{ zus@uHGHqDY!avx7{te6y{Zshap{bJ2Z)&Nv?iuqs)mZttyQKClE&i2SmD~fJN~u#fY$dp! zRjxpMy(ri|ccqfJ1HU)A*=5k`37J+#sDRCL)S}Pzn>pFv-RYei>}wO()CQw%jA*=% zJ{G*U+umrA-PAipxGQL4^f}uByd%IT40}S?WSj=O0%=|w5lCp;g)!q@9=dGx_&rZx zfAkfM)Ryw)`rYFW;@9`vV(gZ(jY*BC>W->$kMZP0lR`r~LLj)QhPIo#?KaJlE6viL zue7XZ{T8!XWesO@>XQQxRD%j2I*~b3^2*-(JYDS zT0w<&8{Zf?=7vDhdO+VN+%V1ffPt&02_WHxnsH8$5(j6&<3RG*0M0s_5LP!qJ!|32 zn!~k)Lpf%0eLl=E^obJo&d^FRlEXTI7MHk6^<<4hLabPLnQd0 zX|k2%w!$X~3GHU|-@Q`)g1cDv`*OlMychF?PHDG)hrQUu!9KL-n3~w&u$Yfa=6<)7 z?Zc2izzEG{4P0dMl%>Uxo|w}^(z5|BlGrFVVaZTp96=-D`&-7f&88y2f%E>xV;gT6 z>#dQ_#5G5wSj|u(#txw zM~)%#*l#p`bZ=&KU1Z$bT8gJK*6W}Muy~#w>(&Jd*pHk^VjDxZIiXRX&BNVwO(u4# zs8^a=;cCOY!-{r(zfE9pq$DNI4TkA{OVgcL`-^73*$@#UbBpc@R>noTATJiYvh-^G z3W=&YRMjU##69IGgnjpl(7xlNxs8H@&~tZsGk;?LAdM~VQ_PK zkb|kSu=zV7!&l}vPxuXxE(TQ*{PYb|YLlR?Tcz^lYPy0qim4vi{KtZ$mausi+&*p; zor=NAqG7Y*o73#d%or2D;A@hOU|JCo`TQ09zwJb_xSqRF>g^pJZztzYXztjntf-kh z3z!=8p_tY*_P;R@yebFjJh|e8i2v%twHzPnV;AFbJ27dHyZgqkBXF8mUe+gEjL%sq z&&zm|=D`^ZK0_LKl5Dmdw|2dPx$bXzBp%C3M%%m>9rFKX2ettN7~IRL z>`P{PmiXZ|wnKi7cjzk1-xlcqt1eTpFI^Il6|T6JqEBo1U{e9zg6KRZ=7`o)!M0+H zFGd{5aA2h8u!bXkm42zGoRr0Yp@}#C>%#&pHxs|L0O@TS&^vi_(svLjdI%Nfwk~HF z7Z*_tyn?G6@&wJYWnHT+aFI&Z-V;t1uO3m9UjC?suAcPv9#L@R_OJ88I?8LX@;V+X z4o*{NrZCY7yZ9rV6@oJ&UJ8|SmC0-sW>6Yp!3YPFJhs9mAI!(}0_)*Bk~~K6P+6!z zaOhj!EJTNieKNf8a8wFju8?of2IRX3VgFJ`+K;Q?&FrRq4=DJLh3*8vKb` za#8dtoRjaS?oj-)eza3$3Z`<;3uvs0sul)j1Dnotrc4PL8Q7>j?K{R3pWs%#!#D|w zQSJ|N4vbt{P~ zs6I!{7CJrpWV+`KM7jaAd&lCszoj$fuZW-5mkHJszaQU+UH80+S@%6RX0O&5MYa2$ z+p=GONs4>-JvZhcGGi`&3vDs}K6I&f{cqdJ^~SlU!`yvrXM^XF9rmiag{e)mFhsi2 z#vRdCp$+{0GqgVneNp6?ZJ=YQ;I&NTKE28K?_!p|1FQO5_daqzL0FaSqAvJIFM>Rr zrYnqKMR;1tj!w?b&d7-7y6`VaZ&^;tEHgQ_5l&a7rpo8%r^wG>CoVVY2%VsLZ!Q!b5ttWb~IU>UyHqQSUV+Q_s2h6n^<_3O$TVg zX35w2kX(!ktVLlNM~pkO`QBUX%C5RKC#uPQBBmJ}r&8{AVYz|MuM9M{sHP zm=w}`J@_~Lk6}1T5k+Ug`@Cj9-C<2X3rsRW4f9EG!-#;#tn3Zbx!2oIwtBs;=KfTO zSAn@dydGpSvP>L4TU5GOz*|U(6EaQ`Ro$y+`+LdO-U+*W|81HljT~*8va*rBsvKpI zu%@W8cPsnlKZC&{<~ZSsrL(b69eOuY;%qjiJr3sUBp>9S?~lK&Ee0??Njf(Op=9@; zImu-3UbxnmSWqGtXl?T9`dG7lN-8?v`zSdj^w~S=L&Qcypt)8tW>hD7nL^OpLX{gftpANjYm=2|mEIXNXsD znIEw`52xlo^pTpH=P{ZL>ppQ-fWmS=Wt(p9=Al_Cemy|CY~kx3q{B;EKJeOelIcaP z#wQp@>u&l@M4 z3Sfyr7o7n`c@~jTk~isFMrZ=fP-B_#!EPfalGR0uW3if-83z~%#A2F2t09d9BSS25 zm6^0hP9f^3T`PBug{aJa^=XT#$o*xDSo&@<>b%f%$1j#E+A2`xCKlE$${mH%`O$MU5kQN&!p_d`w@7^i_mv9X={k9zx^?p;Y6J6p$x zlAc>5s|?1+^Pj4rdOsYM?`aUmo>zU|l6!MU-Dcmb%IN01c~`AzSLP%1srC+&i)>KB zDr}tP5735gV{-j7f*wNWu_?Vx&t#JnX&;LuTexeims8qak_{0z^WMj^QzP$)Bu8l4 z#AbjIGFexwDiLK=V61}zx7-<(bym~`Tc{Tepn<)a4T@>f`FW?NKa$)u;*+i2i?|)2vrrZ9|rLd8BNMw48oEH%q0r$_dCs;>n00=7<0`Hv8)F;uAR$m zc!m(|H=8V?;NS*{C#Xj2{aj8{I2U2^_iDN{+5$JG@_`{k(g!cCi_f8z)oM|*v*{Lj1Eq~`rWVeAg2yZ2w$JQm-C^@c*H<*iG z$YY0$y$j}d^=xH+Oym!| zc7}jJ!#Wp*H*ztgH(I7wV4oiLETQXFuHjpO#0FIr&_@`21S9?&gc2T-x0%t~WN(g_ z8v!5RG((XPn92W9O-8{u<_er$cvO^}I-$*I6N8GA1b^vpxy=O59?xmR0KSDaKDmS{ z2q%MV0f`wtRw9^Nc!)i8crjzRV?#Vh{mpvALO?efiIhuqqHTL!@b=*deqz7CD*U&t6Xj9VQ-TjvMNJ!53MM} zZ@z=OM~6g<jR9$22DU5gm2YzOBE&*)ICP$ed0-}d(tIwTrW3s`fC@ni*e zj=I9=uLzEW=+wR-lfi&6T@08|P0yu>4Mo+m>8Q*{Dvi4?J6jTm$r7t_%LYJ4F@ zY*^zAQ)==D)OSV&Y*^c}f{g<~iTAGVODa(DP(l~w4Xgmuc!z}l3Oh7MwhfCxCg@u} z-?W2Qa7aeLOf>TWeY@iVkBpV!9v`hM+h64V^N(UVxbp^n+ooh(tn=%W{prp)6V zJkhHhAKM&SNekYwNNS!wBx@_hda5j`*W?*=_LTXcT&go;lja$vn4(Oyy*IB&kka%W zhMwu(qdw&~_Sc`XPE;gY;7$wg4dzA`t@?9y)2DdTPuYTL4y)yoL>^*wzjQzUl(q8v zCbw<`$>?f8PLovJzle%6>=Hy=&3<4)CT8hKks`6@jPPL@0x`m7k#*~8$==~203Y<9 zi?BirA3}bu?6niaVSU9~9jA)=VTntGAy*R^k|r0&pM#u%S`~DYWSMHZ?HA}m2V2%U z#A?3jPv&DJ$@d5i8l2OY#T01}!Di$kHia4wb;X}FIT~zI01m(90FsQodYVI3tPm87 zKQo?C%Ceac+QBEv628liEhB<3qDOzu9Dk!5?lGU*hb0_LW=-9jWK*#JFZ1N*$qG&a zvor#_!?!4hfW)$U;0q^-9t@%2wJ>EY|4cfPyKVDU6pkngrj!i?ABp@qWy^AdJw*1k}994Kt4Cw-Mj+VuOzs7TZ zt^Pgol`&1SxxLOi&c-=~@*lGtpv4`Ou=6|P9duW~GGfY*9F58xYAEAk zPV~mODWztaIxUNZ{7I`3i5@cP7N#L2_#}>oEFL~lN~ib8j!RzQ4#TsV{zj6Iex)-N!=f&ibp#R7AFt2wma#9pP21nE~QK;?JV&4=r1ubyZy3 zjoI?q|H371d6E?MgYXO5xIJufcqTTjG26$UjhJ!X7q4=!d=#Zjd%Od$s<*&LCQ%Tm z&1(3t{>#lc5=qQzBcj9(vm^$Dh|aDcy)PsggX7aYJu!R6ot?H@_K|MPfopky>`A+g z8!`0Ps{B^tMHS9=>*2JC)adf3S_6y3FVKYtKLOF!?t&DqFwh?$XH#}XXiPE8kw*IaQ2(%iG+IKHRb2yzBPti>X!DSWtB zE@N!Y$mgP@z2FMNHBQ=UBN)Kn{-_1|AI2O)@PDh?P!!IO##&7PQ<>a$x1Oc2vy&cX zEBUG&Tf^b7VY(ogtT%t1q(wDN?LyfZWEmuq9}w+t~M$njfon`hR!^P68<=V;*-A0acXTF8J$hQq72P zFf7)@Q4 zR&G1!FDCG%FDP+;p28{QaR0CqYD$Srq9johH+!Hi1s(Zj=Vh4Mv5yi5eP%KHS3PAq zn#hLR$K@c!HNR3M=t+79n~HuR2Y}0@cd9VM%iO|f>?g%rJEyeN#T=H`MFr_aV~oSH zRz_ZAY(@@<4|!Z6QgI7Ub(Sl{pOCLM%hU<=nC>vs99ur8{P?U_->|CLOHnnmSvWWk zX&U}xG!2(Iu7{0AlVN1{xo?7bpmN80`(1-2lCKNxjj3dTSvmkdi!ug_fA_P78?(G8 zMYU|r->iifywqFHUG+syjSq<`=ZUz(IlA;mM^9&w+i+9ar+3kmWRIe$#kCG$VC{}Q zYUL@cp`Ds^Eq9Z*=^S%t2@gy&;@|R;4L?;HhIdYLZ4)-sW>m1g&5J9NG~BkSa;*$z zRh`6KX3|D-h;5Ei$6`t2Am-_|au2{086)swESMMRbchX9wnNBXN6Gb)eE33cmqEs% zT0>bEQhr8@_thWoRQSd^iVa;b6VO*z+OTu|&0<}F2ev+2R z9RXU0a6-r~UFYCp$0V3yi! zlukpEak^;5R()9k14zlIS6La|>69L8LeRBZ(zAsPDW9!?eaIUT9=51Gtsz`?vO!-d zhHV!Fwmt}XSL2PPs}?t7=`D?$!`8cF63YDn7~Tx==!P<76$|efJp7gN5b_*eAuGH_ z>u^!p5T?dhuSqsX;RAFpLHE)rRkFk~rcNcY$#RzjbRRz^_HK})=IoYU!uuJ`jDMJB z#&womMx2FsIbzB8P7aQfS1(@P(WL*<*kuMB8fM%vF&RO^O*UOC#k-5qZ&RBh&W%Rr zVrbXmj4K$_6FocmHt@C!-}Vai8+G##w;dm>8d_v(KlG@6Xr?_Cv44U_9h$C*A(}& zM8w2h*J(x6&5`OldzPTW{$3 zuJu;Dk@9d`fj)kVe7>-ye2EZAmOzG~-QnT1jHCjarWP4$Jfp*2WwYE-?rzwR==0pK z-&Q}``q0?;-&(_w7JKs+<2U}|x6;(xe~C6A#gA{6-hB>HebaFZ;tPbBWK9S&w<|t&8 ziW-Dw1NHN@60+?QLa%Bpv&gm;XbNpg2oMF|HHBgAKbm!+)~3K<1JueSsk_JDz#ceWdYBp(X{5qVvyDg79X?3%MGsV+b!d_;*X~( zk4GzqN!Ii7Tb1&R(~0``Ego8@`iom0A-(Z37lhK$aw4qDjd8M0-x1)+M)(dnhfSk4 z;ffv?(+f$htC6E?bXF{3M{zXp7R&iNdNc9h{&$G6(a{BdDK0Y`i_oYw0y4zp+Pt%f z5Rhq6Y6&FfT|Nd#8# zPD(3pk$S*t;fz_3re;2#+fM>-v<>}5Z?i^u*gf{rW=o9Nr86?D1icr{$Wi;pI-=-g z>#OtU_^td4ak}VQ%+e5Sq$DhnwQ)GijNphti^O@ME3I(l?rGyiwx(^I5&7iN34WF* z5}?KJ@g$L(x`Oa(VMtydA6p;VwZn9s-n5O;B)!JG5d+6-V2$>M$lddxAvz3)=qPv1lrQpUn{cC^MbTP zWFNEbSiAZoS56f3YIJ53^puub0K&F4RA`Lnn~KA?<`3p^vi@LpJl6Hzt%GP;SbI^8 zGr74@C3`kG8A{k&wlcbPdEPE8H%n)DuA^bYL5@_q@-U_1f~VUtTt#_piqWYW=6vfg8RXc$ zz@9aahR#x3P_ng5-xc^|wRD_od<1r!Ic5Z2rd7TwVM`sNs&EGX*m{ z4h;g!YI&0zRcaWDHd~x9N5;lfbvnt*VgYkD<+W#!8kv)ebe6l&vn!mhZ&v!(U@RjB z6;tH$QJV1^JuA=`K!2O5G$QzBooWOD7Fj70+me9n{MPAkNG{4T<)TarjvNe789KJqZs!nVe45fh$YvEMH*VE(-8dPViPtW# zNL-qARtqQG6=2_5;~~nyvUg}>A@P*67T4;=ox1%+gwlnkmB$sTNE6MBih#p*Jjuh} z$uatdj!o(=m=uE=gP6AzxJvNewdRvKjce(|FzXvki3(|u_!jT|(EEaVH1>j)fi2~M z^tl<6;c5}9M*kkKL*OJ0<+E%%yqAXZKe4}W(Ee?8%twbC!4mvL(3n5(#plnSQbh<> zIi0{;$SB2jAIpMrSYvT#Qy|3_EbQ|iVXZ)J(rs3ZM-+v1aegtqnZe4QAWF1qMoolt zEnC8~rp39sYo`kOM5~$=>@~rh8muwr)A?hCh@obU4HdoZBj>}&(trf`3q(42AS2Tc zgD=|lg|gz7EI*VFs~GGeN|6!=UFhsEkufw+OKJ#e4CT0T4LPw%vf4eYMsF7b8?#1F zj7^1i$-64P@TKnul0bu)WWj6n;tKU);aJ2DMj~2|o~k-8S$mG8cDR1PQn#YaQQ?Vq zHV3Y4HF+DfJ>k!UfAA%5zA%^!mIAcNUS8P3e%}ms@=f1H=N_rHY$u{U?5aG=-sQt0 z;a~X=GZ|IzLw%_dDe>bVT0mMip{#Sd$Uy`BdSL7-cZ|(fH9-#-mY=%?qd~rpj@A}- zXOujdse14>8~TOS6D*JoG|h!Zfm3by6s-U=({Y*%rYTse#T9B@X1y?%$0a*hg)v)a zs3?YAP)dswh^a?aKCVSnP~bF!53#74m*c~o-ga`h)92ZCv~!qj9qshHc#R=#f0v>y z@F*Txx9}aomi{)Ij=FUkq*q0GosEgOD02ULFEwm3JND74xSU7ofSY!_Tg>W{%9HEa zu_h}_kks2i)K1|0T6sok$sVk7=T|VMG9Cn%L22zC zw6&--IfYz96TymR5XKb#AW+(N11e1c&JeK5i8W+Zbui0S!drCElhoL|BhpMBl!r`f zv(*0{nO+Ku(fE;AjrD|LemT*OfYlO@c`4LZ9CvQ5kZQ0hZ&ZPXxjY|U)@6RcAdwtJ zSObRzokq=_ZPa!yAYZJ;Bt*Sd>TIbTwRUu<;vC81W{Xu7-%5#@*9xDplvJpD=GS9W zUSa9M;TTVnZPePHS2xqEbe^XMy@r1FC@FyB6-U>x4L74D7z|3?U2UrGogD7^^wwYc zWurb<6XA8haLw*I`2#GT3u?G7tTNo!CCn;q!qjH>ay6nXRlXJbu?%}%n`DX(IOyat zinadi_M9~{c=)L=k==(lD)=7#N$1d*bFv_L6f7PgzUh9B8L9=CMyU1E-43f=Wlsioj3!{JSn` z+@3|vmV%X*3=YJ+?HUcXP8?bdhcL>GgLskCBvVa#z|j3(F_|aN9wjdjb%j%4T6Al2 zdwHpOE$p_*Y8KMi%BaWTtcOE{w`}?R;r1C?3(PuB%=`3cHd@CTZn%4wZZHr71!g$` z4b6;%cQj*)N1h1qS^ZVfp+}caqaKYGqQO~@9B&q(QcR~CrQB9ldkUd>j#khq9SS*( zO2xru;h0FBk#n+=k_ka$mJs76q4XB~hbWL5bHs4FB&eefn;Pd zv5V~_Z&OUG@6c&f+BVMSq{r#+@=>okwhld^Hhyn}9j&W6*@_p}ZOizUw|$=m815J6 zDsQfapgZUkxK~Z?>5VE&S(!Ai$3J7$nTnpOr^LLj4RKqotRug1b^5rpX+17oH2?Jq zY|8?y);V$+<1$su^Nt4qkjdFqV{*qfK6MY>x2089tYAV)XaHkCoWF|>6<#CxOF~m| z#0XUF%Tb(vD@Pv8fN%lDFxWP}?BGN8{OYSFMNhD%OiN_pL3unchTO^e@llz0PAg^K zh?a%IBZ<4;6vT4#u=~?dNuJYT!+ORmSG6pPOLjbLh?%*)tr5q4G9>`1C)=Tgh0q!l z4y&c|eFjW%?x+bXUA_#cX~;R7H->- z!nuAhDVzlH>^@E0*9eY4r<%R$XtTEOV0+Ukg|WY(nu^mgqi-x@*8l(FL(TgCl7oAi z?BAr3D_G$=|Ce!LyfzqC>!)s9pjIYHGv5$=O2~cqdpGOk z`OeE)&=QU(CNGJxhc=;suBpX`?6ouNlZPZ3KL|nmK~#pv0Z1b5SQ*7 ze8fzUoOX%&Zubsxr%Iyfn^K?txs`AnvF^EkS04MLkB^()pC+S9%@$ zPkRJly6>&aF?pZ9;Xj9IS*l1ejYUK2F7qjA+*MSDC*biWBHp1itv#I$JBQ4VJ4saX zT5}-m9z8laK*VxSo=Wh7d5+uiwg4mICi-$=Ddb=Et1U*%tN1MA4H*9>^iyH;KrXb% z0!0tfD+DpB+570=;KDm&!DQ=m!mq>F%txN#WGD&<-Gn{Z;h+gmMD<}n&(E_#DQpF| z|HlU{w4mcSXBP%Ac8*Wtte^pd5n`D&D-6ED-xH=V>+#_*jkWE95;qQ#Y@S$B<0cFu zIg+!gq?0HgHoH!KRg{;>8v-;|9YY8DD|3h97gS84okIB-z1WD$YCq?(bmShYIVxXv z$Fh#{-?i6Kaz@V@6(#j4 zTx$hAd)y$%2_4)0cRaYsB6s6ehbs@2MohwMtcEFqQUVBmnO;Zk$IElOR|N=14!8TB zeUF*di^wx8rlJ@7Yj=uGnyhO}q0y2+|_fFqPS0L95J@YQ96_O$LH4A=4+uE^)(pRMMou25OdlRR@EiZ z>d9j!YiEgh&UwhR;jSlJPrK?2yvPdFf5&yOz?`kEXJOC)cEZQB6Iup=$H^X2&n2H< zkN_FlmaDlX^4lhYLwR;JznmA>^A2XF*V%TRuh9c!Pa$ScL+=GHOjy1Ea@t5n9&A?%9~A*cec{ACm9PQOYIF{s5EgyQyk~Ty==3BRo+a_9L(y#U$TizL?-_G0Dd8?NqBd z^TszZ#z)x2LyGRuBsfNLarz=}|KcBQvuSu_17_tqdz|nihxNRLrrQrcVtXhUX@Kq7 zobs&C=0lwsURKe78s6@Is840Nj?})r=CPWQyxIO67&Rsf)><`z@paF!Af<`^!Ebdm zIxta{S7Vk}mG~mm!bOYOy^Jg~a?Z;7X@-trjEDa~4c%UR=&aTE|4+K6k=t+hTrnSD z^3x67o?#RG2WaRHnpV1tpK|1SXruRb|A85~rjw6wfQE;hdyd-45slg%R=Jp)3rfD* zAT|_o*RAyS&yfqwogKauCWxgCX1V~Uc@W=9D`yRY(+r>n!Iz1~k+X)o5(+x-tc-Z+mH%q(QJG(!yr<2;+CO0r=RIZGRNp!X$5 zFn3@G=DHCYxJ?=00`|x#|67djjmxZ`1nVgh9>bf@Kt_CL!N4%_+ct7O428Hr$et@) z<1U&g-+pT9HV({(v~4xsY12Pq8cY<2+q(AL9@JERHM_;vIRcOKGI?xI zN_eoUcUx1*4ksBZ>%sM6HJ%LML#R4Fp`|=sn_UUS(F&xHpDK>-@h>|kt;5h+cdgLKFcoOP6Q6dvZew8dJv1Dd4SR%&&X&}CH)>Hn~*Z<@gplMu#+mIX+C#e1@%)R_yxYG-#}D1Intf|05wkSL_RnXqZImm*e7}aT z1E+vs`|7MG(UeYS#qk(aB*i(3Jia!D9=dR;d^U`OgCu8unlX6}cKWQ?PR{aqb!l<0 zi&SH<`P;_SDnfnBuQoxBJmH}!=3snaCH7CO|4Pzi1LFwq**V!WUuPXBar@^3OG_CI z!GY0H^M=g4)~Gu4xOfknY^hfdwxeEY4qaW)cFe9a6uVeflrdL(5YPa4FjKCc8J%Br z>KG42ba;4}{31C#M$X&=X3vF{`gqrJei-}exl5F?IZ?X#6h!l>api?&_*yVb!92LT z9C4dxV>xk&W5iO?`SzFQ&fV!T0+8=;Hwbezs@fCmt}b%#nYa<#y{3GB`>%1zuBMiW zeW;7c4Z9%JW{OQp3CRgV#Z+ccs?TovssatBpC@vmYsC3-+=@`vnKc#QbcyS0?;yD;Rnl_6mS%Py zRiSY!!t9XDKHBYSR6X2{7$4gp2)pCqAH6ZAFN77ffZ17hI}vQ^xNEQ~k=~G7^7!wE z-YBZMWNR4dpQ1&uY3pQgfN_9%)4gNpC4AF=xH@V(u}Pmv-s+#@55Oiw|?{-C({1FDt`sXxGA>!XCAV=fvzM-`0(j9m(Aqw`@wyc<6qF4hrC zAXH?IXL(p+=3}&n@UT_lvOGwUCIgOejl>f%O9P#KwB@gldzWZZ%X3&QqgYFtjP|+% z#=&#Tt~bUCA_pV=Ny^$wU)B#8ozFgda(0$HJ$wB6%#HNPlil59K~?wVpPK+6TWM5k zd!%6RLN1j(j%r{=D<@|6B0BNTAZk|dj_LpH#MJ+&GBm>(4e(!+jXMFWZC$=F9i%aF z-a7_W*Es<$9C=%-P)+L8S}_A*jGHN5i~!BCuJ+Pe+3}=dt(-_oyucA3vvsBW=As+h z{>yhnhvHwZ9eDYazAA+Z!sA*~OG0?^)p-kz2kcrV1TK0{s_Icy(J6TUqjdn}W?rPb zi}(4%>xSJsEq1gzw}5{3HzB=dE}%^Xv+wxrB&bDNsCqV%(j@$V_Pg#oz0tnh{hK6u zlJMGv;{s_3yFEwNjVd`Ut_Q`9CkdK_`{;!SJZ@(5VPEL~YbWz`ObWkG$FQf4=~QCk%!2|xjcGQn0)I=0 z6C}huZ>CR;r*2u#z#E8Dqet`b8QqD0_tE|7Zf{sr_&1w(->>BsbJX|l{l`Ehbdr)? z>L_pc<*vP_K0=?I-h|)R&3f5KvdKuZq@TZ?cHRDrQ+c&7aYVpYK9RS;zs5yY<1Bo9O2 z)-`9{Ok#H$0RcmwE9?2MS1_ToasZ|-8NVyy?u?Vs8p6*a)C;Up8bn#=cmb*fy9U`s zA+|Dgy;WK8_8%9T>M~b6zU&h7&oVWYiT3SX=-*9|^5?xd6n%<+6Kwa86jDXpRFfb` zX;r=Ae5o+9cwnOY%*t-dZKfB&8nd;m$3Q$O(!o0kCjF*67}q@7Qb+8uh!-_erL5_%CvRi{56u~J zca}E_>i5-+>X~cF+tr-Z#5n@9Y7(ZolORov=48Q%)uUp%fR|ut%A*=J=S})F;R)ZV z(7-3{)M*+7X~K{EQ+U^v6}#Eu=Q+66b)Wol1sh1Qz)1FLK4dl!9L{vSLUzc0udZHm z2j!a0Tt(Ru&a{@)(<#~9Ma5>LnnoGDo(3_SS4zlcl=-+Wr5n_V>f8vl;q$LfUnOs# zP-1P-XMq3tw@d}d-%+V4{Wf9*^yBIDq17fUe1oW~YA2>k-hj8Z*Ar4eI#Q>r@d`$! zk6!LR)3+bh=>o6vD~xWAQm`^$GaG|JTgAEgt_loJ7~(s04o6u6zvcp;V}W{+wXP{> zsF6n$PCimdj57viB-BpSq#HLYP7#PDol8mgY1dl9z!)WYsaSiA<)VoC+qq#!;h^>a}3r}v@C^WwbQ}_Q)6&SWvtg@HFS+YBi=7@6C;StRt*Nc*qAX^_XQ{H* zf06Va9qsORED&!S8wpDsF6K*p8(v4x3X;-MD-7NlVQLMaSQFt8m--lb>M>;a$smdr z4Da+zyT3x59-Q4Cq?QyI?xCHh9{PHE_B{C#2DU(?B^;Z?(}qU6!|N%zJe@8r&mHb3 z-}c$?y5gL9wq4C#FLw_2Tct-diD9K_`Eepph=JXj7bT~5yQmhN9xu@(Muk?HlU^qp z`NPI3e2~i@ldZGQeiS1H0UX10I0;alFZ+DeLcapnng2QSt%G!a33lpgy37|-#Tr&2 z;s&J%k@f*^GGp}p&-%%`KFWGF)4n*?UZm40`U?%+Cg+M1aEp8fR4uC`=9lC@1QRZg{G>7=J$F6?klF6 z)>)+L;pNK@tZEjaj^z}*7!yVXN3@CC$Dk#Tc8?BVap*nj?ehPC>3{Y8&se!el9ynC z#46#jujS;70B@HAWFSoV&9RUYsVo^NNbT#Xsf+0~64CcmyvIag8+^{co%fPYd(cd= z{wakj(S8YQQWAf{GST-0r>5_J7N}dnyRr41r8kM3gG_a7BNI~EUrtuSbOEQ>)XW6> z-fiR?`isj7sZHSX0T%`?6jVAbZmSZ>K5>8RZYF=(p!r;np|kZ9s&PfFaM8)q7{av@ zMq*G!;cm{LFjm_gie{^-YBZ}<>DKs>g~;lp!H%NLtnTJ4av|Q>#=Xgap@j>+Jd(^M zIk)^ydBTj(kl_9@;w5AuE&qXJJ3)ELJ^5b>tl$3S58IMRF7hb>ZTWL(4-8nJ{S1tj zH7=%IIi>VPFtPBvuM|6S3D(FB`ksmve8a1~-QD#2 z)qb|S`~B*0nDxG29q;ZAzh51Vb`R*+fsyKw3A2InxF0^k{Xln-R!Ae59SR4B#}3mS zk5px{0viin+&oXPxzy;347zbJ+#A~F;<6YvIPPo1JCyXplqtv=PG$uW@Fs)kE)W+_ zxvv%5g*3}{+{Bw2cH?3Ptu7vfszcqV;s|!Z(~zx4G=Vw~c{*cPby6JCoDX1&UExG9&|q`&c-3^?@Q8Q4;oosc^x&DA!`vkU z**qo*FUAhpdtlvd9qjfW^?C>PTx~LmT%{i33fqZUDb`) z@EXdgV4Z~Z>cykeN0y^m*eqk{6%P#*Ka@u^{B5COoo>>s!)UB!Uu=&l_4^2;l|bpq zi6I{JVrwR%hTl$*audeWBBSF0HT(o#PIV8H#>8j8M7>D|gB=sO@}NUHWZ5)_8H=7n z#(a!^|kZW4ZB$N9qK zfYF7{qvW-G{VX&<<85j2dwWWP3MGo)!B(4aT4iOqVeMHYM`qVD8N&R`ms)!Z@2YtN z^D@S*6skUI{uhm#O6qO0JG`&NHrbPejpzQZ&Fpo% zV!+%G|CE1y!Qm=F;qA~~QsGLw&p+_9`}LjcRczPtt)7-lS!QS?2bFHu6F7}=y^M>Rk1#DAu~@IcdGH&CN~MpdOuJ z*^t#q_jvoppZ!29PMwfu3T60T z^E~Q^ie%KA@`JSi@iFzZdOtM<+mh7TJl6C7p}QH6EH3rHMg=6cq>DCpyY%cWIMn7d zyY%Dx_&-0`cH3Zm^wl zs_6Z5rRqn~S`rkc+2C_wfNTSu18e0FdkG2VZa@@&w-mG>@tNFLSUw%xU`FuC&CBHM zGfn(A(L4Z~!O@1_r$BXJ8F+}DXg+}{F@zOtj`Lp!i=-8uUP5dd*e!-L%2_+sL>F!2 z^tWvC3jFe-+W?wB48D~$H(H>^_b0V4&Pp4ZXVKxa5y)SOes6hR>666MYG#MICCulq zQ{s)${M~SIF)b7Kr7BOa@PC`8mY_gLmWyLqelXAnSk*QsO>;E|V}yXE3J}%Ns0NOB zk$NdwSy?@keO>LH#P>AgOF#E`s50((Ku@QG+tOPG&<)QcmZZ?7dczJ{alWYOXG$MNk

        @W61z zpgq>))nwHzKRha<<-#L5a?6w%TH}Fo>mW(5#BS780u^IOWCmC^0*g*cW|JRXn9vmHes%;NAy)y-9N*ro1@ju3h)uf#w#+bw zO>?AC%{&@3T181KdCT+5DOZ}boycvugi(C?KF4x82CE;e(wqfZE|O~-M!vYn_;bTI zN0Va#oiA%+CLN?>{54bxAJjMEh8zyz;zhw*HNn3_Atlm#;cOE z1gBgfU-6X0;a5}ga)`gh97?=&x~>8edt?MY2`oR9e81Y=9UUb|MP{B?&^+JMy55wp zu#9Ao$S_OGU$63tZL87h(q^9)H&ETASUJOlFHQ4#Cak-X`>NZ-rGKp4NjolZ zLW}-DLw#H&V!jnK@4TxT45JID7O_QQ+Y!aj;$6M_z*?H%OrS)f&(o90%Y`M-3^w^_5pq zKRxf|*=tfshyOjXVNf_mLp9DZC(MTtb;W24I^i(YcS=2#@4j!!cUKOr-qI1MiPCW>WHpYog)7Qdlo427ra?~ z7|a~aV#-?rOzC_zGXOt#L}v`QcQns6MZK4NL9fjnSJ+YD^Je!da+vH{e@W=_H+)y> zOc-&Fv`q2av?aGTNK$pVwmQ6a7hggc*;G@%8_!aezcKAG`ZYM0M^0+;taxwJ^Dl7O zBCZ_ROej29cDn0`^-z(Cyr*GTHLtOhGT9(6_|<1G6|~W&@76sw5+|;Wiph9=oCsa* zV;GIqpwZ%2xxFyw5pB*G11V=)ilOv2EU3-}X&_1Zt7*WQEz2UWcFO!J&+v1BK3ruh z{33rndpnsD@a*ZL_PrgmP3cy@~fOjQ^sFf1`w56-|=7Q+rKVc7jAJl zH@WD39y&+!Xb~`XSIX3+-)U9AOp?x+FW}mcdW=&`3ke^t=HKeAfvYbS3*UjFIYMda(5{OT?0OY^l^}|~ z?)<03K)@IAJ4-K0V*HRR+>6T$&YpRdCWGuU!+e?~gO+r|FpA-is3VHazQ(D48?5;a zHA;K>hfjJ(j}AyG;SAo#TkBjJ$aY=M5;~f{={1TZti?+1({c$>%Xu;x$-*uMpZC|A&vl#Vw*Q z5!#bRV8SSHg=i_*)mv>6=lwxLB4UV<_p52MA}>`fphDkAjb9wWC4;FietU2qJp>dS>jxAS#i96KhTpB$EjvsRv?DB2uZCg$P~c#6VV zY4SQBLc4S0iZHH^H)46?-?6m%&Zl1*M@A2MI)XTra!n}ApFyVG)fR8JzF}o1FfN_t z>Gzs|&+}I=Iy8gOQmm5aUXTEX*nApV#yr)uK|S)Ica8W{$NQZZ^wxiwwQGYR9J;9tIW@IyOuL^pmV*-i#4GmnG3< zXj9L=gmhR^l1Gt{GG`8tqd4U@k%nY)q@bgL@K?mv+E7rf=BGFx7Rx1m*IyEY)pL=$ zjRX=Ur!%&ihr%S5B(@@T846dMT|N?_40O+C={wR^iUupSBnloa(4jn=6%>^8X9vm( zWp4MDKNFYj;pAqmhn1~ZYvQamXs%TS{MS!ezCd?EB#){=xrjC`_x6AKV56V|!_ylm zPnx#-R>=u25h+dQ7Mc(1=0?<|V7zt+P)!eK<}B&s?9;HWAxua(+}zYeL`|`Sd^#Nz zc&mty<71W8+7EdS#Kq^Li^2y6j3ibz|7^K9%R$rgt`yZ(DwkHIzH1qYdraLpY|-Gg{J4`JW1J3Ozmh?8h}YQ-+o0ql|!)U*kV;?J1@!6KkH4BAGoV zLC=-~$F_Ho-Hg^3EzlN%bG)0oL`wLJa2yo_xzH;v1Oh3Ua}?&Lf4STovL&fWbcCML zVIUtZCr>0G5V$AzpBVO$MU^iQ*je)SNHG`s%Oi_Z@eiw`D8uLh6JDQx{yN!uU6O;J zdV79TEwfqjxr2Qs@bj`57Spa}8m>$#2|fn9GGVZvJBoUXQMb@ubuSZ`z*54Jq-jp4 zrQ3fw%oyQag|~|aYvhAmb*kpMX5~N6njTM@F5k8SoREKW$uz=c~toHf<#PwRs%IKwyR5!CRcVPTd~n zElj;Bg0*u$i6gWHf;^37R2JBzh1*S^pIud%%Q_Gc2EQ!hEEGPxk5OoOP-f|+DZb&b zj~a;wlFQMD|2?AIj;$UNu^e+e{D1wR%`9-TK!WQx+S2=b$r&8vbFjOUZ;I&^(k^Dz zS`AGzABK|#Wi$6%;M%RFNW_m-%y6ST`~F6?8X}SA#cG zB_d0&1cgS{}3FsIpnktR8kHgYSRH)Sc&|%VBsvOqsGge}T6meN6=8+!^6gRxAya+OoHe z6Q3&MX)U!#qsk>|$Vzt`+$2t~Kia0G=_kjUH0#X;veqSR>+PvAOVp-r?@^v;|1Jz) z$icDED%YTgyLFxXE_+6%@Q=9stpQM5ad(RXHy7JeudkB>%tz}V=+ID#wb~ex$)h;v z@AMC3o4#`7fKCK$4qFepEi}9Y1(~dw6H^jSwm$i?8+<-{B)aIAFnGn4qe# zjDU*%j#HE!`xEGfDO>LpgdVrs#b&VBXh{E=H>wNoS{CC~&uDwxGTblB+^ z?@miIZ~x36i4pRjIx>FAPWLxuTwibiK8N`=O`a~nc7SHf$pqcN9y%?>-?PL1uK6M> zoc*f0vw(BlQ>Z8C4!u;v+pp$pqp4a=CkOk<)?gQoT+_FE_)kj}=rQ!aHe~3Ur@x68 zGq+ijpMLfu4SA4A>9+Ald&zk6qrnU=R*6^Zr?0=-puVQU_xih-P};GY09Fy;T)6w4 zj_MA7x=i^$%VroQ-h`dseLKYWFLmX~VPo-+?e1m3_3*1X7Pf_<|OfCrRhqf5lx}ZrsQf1w26VoveUALANlHt=8KC=EJe(g>h_09>aDJV8HICy6J8;8+=G3 zBl^h_5+obQR~C>hWE(+{1!M&QQup4vRkt2wQ?iWw_|YVb#bUAQzRo#s)&A(U_)h&q zOtKUY5w9fd;l zCP&9dgE;5^3*HBK?O3MGYBD#(NSm?<17(iXEKm+6m7&BDME}ey^*TcIAFExB$QxKg zxjxxF8mU*RKCDridXKd(p;B_F{OKu`9-d`&nlJV5>Umzj0yV=W5M0FHhdm(~zJ7IT zUdu6TqZ+5+z}NdeR9*Ohc6d&WkAV+>r4Uh_QNWtHZkg&^zN1oxHv_XPQQ8=h+EpCM z{;PHryVIe22cX-mk^A6)J6Dau<1zjm#)qUj0&P`c*Gp8o3qSwTK+n$@dXAr+vPaKe zZg~K7(D(-8d0h^%>C+5=>1P=`Yr4#OGsb-Q)zhb2@^x3nlbb*&miJIK$^I0Gc~)d< zL<2KDim9*y0o%GNEGdP50YIy%}J(L~RaWTY+ z2Am*U;sgp&s|jc%uIcAxv6}60P+fgv*Gn!lW3E7vG%^g1)C+kNWo)V@O@&3eEN1QG zF8)sM468GgF6oQNY{*1AYsDDD3}W5KyYSck?#ccMhQN1{$J+A>bcWRTUX<%X8-s4H ztPt(e+dAA8PpcC-E~v}_&v=lswi(f;ShmJgqadrXDkxdL`k)>QbXS%T6;_RY$W}(9 zq!WE63w4n~wXPWd3YsUNskOZ!)bw7xvJ~)T=N1Ga>sf_{nOW4arnOxYqZ32sYwM{` zj3@&29*pf7h`L-7;jV^%_H#8C;DsuM$tu4%+_$L3I5}l5FsDQJ~_qT&)d{9w$-mtM`NS;8YflS z8cKJu>YiySMZZ>16<(=zs|524*&d&mBbXF<1vD+$ev!OPn`Ln~sE0vHIn^xBd!SAX zykZrRP23+1$P_F zWc~IZC4TVL)CcM_YNRJCZNSwjZN?kx;g;wfbrJxJL6Vy$-&xP^NS#o znmJl3TsW&b<(KSYcYvSDE!Wjs{9pyVwS!~`p~m!5dCI9WX11IyA67irz0{r_7p_82 zkPW*@ErIK0GFR)drmC-`v3~mwIMiGMqz}Wtw>yFjezb3OzM3(Irgb$Z>~Q9liCi*V zyEEE1A#2BKM2BRY+kks1G&YG5VcWLqY|sA7+t%qEO(dYE?nQyEBB;XXw$ShD>%uAj z#|N&>{dHh(OGB{L?sVxz0ph7y*zsg?K)MX=vo<5!7hxhBJGX*V+JwuS`C_8E^Wc$LeVtJzb~3 zM|QmEIcKeoa<(i>pyvpR{ z=nycNie1pJsz3q&l>`PP63eDG|obb39H66m*-YHlMwi3b^G%dbX zmrH+<;xte=yFo^E@E zaxauy2KU@MftBz0@olOQI;MJ8@quw?gOUT6byx>l-#mJjyv1yc!4JL}2 zKao-xEV^$Wy|d1RUW71-j;0=!tp${qZ2fg)yo<6v_-C~B|kcxZ0QhAx~@|k_~CTRrx6*JSNgXSYih4NeTUnS3`JRm zTF8WC%+=$eV7#IU2_t7K>~$_B5SGaPShqd@rF#EGgLFJItP{uy*~Kl zQ+t2k_Im%GdcFV2XNa8Fd-v4qy-&Slj|_FEy4&cUdOf;bulF9`Z6U$3k(-}wO5Fq+ z<{!)X=aIF_0vC>%TL(fX;dCtA^4WvWseD$T)D-qb3E|=$Wm+_|tf>EwRDXV&#`x$? ze&(DDz&?Nb@a@~T1EN3pCDS%+%FP5!QPF%$oaB#@EZ84R$w(*R2gb@;m%~`|V&eKU z&Ui_+bcyO*!~;(tr(Wk8(S1_SWlm)SW$CO~o^KML35q?Uc0PY`)M7B9G0ilAI8qGy zj7?f?uD}ju8-p)GkcpB=<1)uKW*)wIS+-P3dmJ{d-c$fHTQ z{(56oo%+Q7@Zcl$_X-_88L`)Zx)Sjv*Gf)ExXt-eeGb#qhx2{U_m3d@2KpvHupB#t zF6ci42XJs85;d_N*^q}>8kAqSstXPkW)rvg-&qHkKsX}Rjy>nAli^jqdW0a8u4vIM zrP$lF>P0jp`BJSoKrlrCL7l#CRwlbc`Yl79`su)ZFy3RQK(O*f)`O!-{llE?vo@gy zJt9J2q5o??l6D;egzv&GW?Dqb+ZD}mP7cR(hviww@aj@~MI(-rrY1O{N3JBAvKc?U zRhUn7ooa0Br18~%nON{Ca~+6Byv)If33U(m0*a>`NGL4lxcYRp?Tg!+clmy~`EoM& zV^`P3IvEiSL3|i&J0hG*S9wj1fm47^hvvS~ECZI+T`~=bTSQ26yqd1jAYL}1Ce@0S zOm!)OSi9k9aI>B@%63;kE!~94;Lo&?GN$6YmHxK5BN44@EF-fV2oWTp-moC;jyrXa z{fZlI?Ur|E#~%BaBi4Ev!~F@38WD6)h3Me>W_g_)4ti>$3oQjKH*Q}&&BpPy-84`- znvl5eI;HtsJcaWB@b@b|;v@h1XsL4O|AkA@G?R&Gpu^khfnn^&koN|FxcpRaLfv+Q zw|f>IqXk;M>}td;;vhdv~1LB~b_ZkiWS^_6`*vM9oVX5Znw7B{J#3z$t3CLLUW*|(QL~CMV zFbIAA71DHg%vt%$Fpjtr$FqJ_4~kOtM_FbiX6 zbPV`^(y6-X`*fuyxpLT6#t4=yd-6?j5|=O)k|u$ktZLM=!)lzb-ZzM;7|KD`ziwfH z!g;34t+e78sI`Mjs&NB23o7M6I#*^hb?|QieWk(p6XyvM!c6 zQ4N{1LYgsFcOgLUck|{0-UG^cF4fa+mV3LzkjsKEZ1ZO5G_{ju`6a(C+bz|R@Ycc{ zX+s7w^6D4%7C}$epu(|2nBm>}(F!=ncEuoYzIS1sPy~l26nUwYw~rb&g~y)mX1qO zHxLUm1Mc0}ev4KyRgm)RgWpWGGusUo5G^fP^DfLa@^yfX@rWuzZBgNea;|KL6=D%9 zwL}+|^pu+LFgblts}Yze_m-I1n)O=8j0sH0Z0o;0`vx2h*x6@uBTtWebgC{%OB-zt zvHtzkmpkC`8nL`&rF)g+gzt z9#Z#K9|y<_Ku-cg<@u9upTIz&skq zp1G*hmbOq!s;Oy)>+9@?f?_+N+&YWi-y4M z3axva)yywZfE*e1&_^@thz_c))I?pHqNyMu)l7Ay6;6XksXz8Xxy?=;4EHgsb%A`L zXd_&tYOAidHX%co*DH2>)hJw~nta0*7P&~lPew&0tl%~rVqA#VHnBo)iJU{zKv1&? z@QFT!ZnI_yfInEYhqFmKp$fNuZXiQ)AT-3ejq2AtME%My6N#A*a;QMxB?zL8{RziT zv5XQ-g_oM`kgj=$Oij?AuFrdQ-ba7&t7o^>?xKN^cr;&_(n>7S6tNlaRg7Z}bWg_V zWTE9S@>K@^1L?LPODIVjQTm1oO%o|J8dO+##Pw4%s%udi5@b8r@Fj?&n?}tT5NT^T z+>8K964=&#A!xh|Oz1xDU}bfuB)qu7#`J-c+?QR6{ffRI zMaDiy6xvMcY%)>HZ?3*@64R43_k4X!wR)PR6Iza5JxrdgX4$fUXMd>%e-5CB9zki~ zrh_qyg9n_aW0WLsJI~k3RA8UbYja5oUP_#cfVIPrhWMBDO zSyA|sZ4YGM!tU55znSE~$du+2=D2x2*oDBjNtWSbZ2AZ`b2I8Dw-hG!lyzSIJ@dg{M!LZ zj|nW^{H3#w#z;Z>`O!A$)Byk<01vx+6lL#z=6NcjSRm%7_z`nmiWbDmkrCT!da8XI zw2&5Mnwu<32MstAfCowyE+sgw;PccfnA^0*^O$7yv}nc( z>Wh+*bVqKaLpsEja;~y+mgUK~881@x1!s#&O$TM|W>e)dRmEi&E4gPkS6QnV2^gPD zORk0hbH@16HqkRks&TBpzWMuuUbQu`LZVhm)J^QacMJF$KH$+v;_KV|I&BIQr=`YL zJ0)GFyfXG^QIwvkIpZXcV~AUTUQj*ee_&3f8y5|1N==Q95H}Bnl=!TLj(43B$oi{W!?^!g4VQXRzZ!gL6tCJK(CLy3k;YpXZ^1B=mj z%#`pI02KfgxW}&n6|jsdEERwt6#x|m6$TtO04TEsdm?#dVRCaKIv^rJAarSMWgu{6 za%pd5AaihKV`*k-Wn>^>b0A?La$#;~Wgu^6AY*TCb7f<7bZK^FAauQRbY#ujH9WCx z8xv2=iESI5q+{FGgcIAgZQGdGPA2vQU*`VddEW0`?;qW#`<$w4UwhZCUaQxts_UPw zbi^jM4%PrCr_ZLY=1yjxjm_Nc%z!q;hCnA*;OEuR3E<#F46rdK27bQ&=|oHoWH4o* zBc@_zVqzkuC;q&Aqx#A~N=Hm;WNU2)bTW4`x3&43m5LdV*aq;K*C)2q=jZ=E{=^5m z0BxLzZ5{q53%oQ84=Fh9lj-*;xbJKdBm7IU56s z0mjDvX!Qx|1T-?U`D|%YeV;9z8C{u$EA+2Ow`Il0^YGZ6n#@Sg}y4uDU9|J|I9*v{7J6V4o9W%Zv- z&23DHT>uW|fX@*#2L6@xU!4A*$pIWbdw&Y{pVSPQnf^)58~Yy2la#~(VDv9z{MA^_ z+4|G9f0>&b|Hb|Et;0X^{Z;gzmj77gGcSiv1wOsZmU3=JKCF6RH1>_3yo)SQZ#k68R~-o%oh zn5O3c`-bGd5RJ`0=bw$y|HbToG9k9I{g+ez%SH}h32+Bk1O5_Gv9)x!{kJFVK7Se< z%$?jnXY8kn4u7wojyH31{5wI6fewc5|8e}^=v0oxj?NAye>whRod2Z#=_nJbumAiY z{3kgEVpW?@8-C7lYarmW6VUoIKKJJrr%#6xQ(J#h@kT-U^5qLr1oY?omoK1T3!T~} z#_nxYPGzT0OaTG;h&176tlr!%8aysy16`($VmC^fsvD^*T#1^xi%ySR6=51EwGP!9 zv=+J#Qz>l7PQ%KNw;Nrbt;;|Au0BVu?}gj>-S5|zuT%Q3vy`wA#Fgy)ZA7ofAn#;j zd+sUV*Q8S8ZaCuZH4`^EI^rN*S_iX`KG55B>pN<{=Vv`=_p2c2OzT(6i_d9Kz+Nz%}WKH1`cEPzp;?2!W2ni(OZtvzpg2yciUgo=WW z8Ze`f>5)XGImi6F8TOwW7d$|4j8MuAUCdUNJW$_Z zQP7XB=#~jlm5E!o2#DDkaoaIiT-44LO2Dehdrps7vc*@Ma<6oZ+1Z$jDRadwF@Q}G zlS~c=fN;CNpE#z;U8TphX3F3o)I2ANp?aM+P>{hkkl8C=O;Alpcw7GIhFgkO2Tc-n z^7;=j%Nq1n(j{KZy*9d;zP{P-vajQl(1dsN{8STKp6v18oXL3dz0TbeY|(Xs>(#u)&X=N@EgDRe^Al zEX8CI&gYv9*2|(nqOQ36SpF9%Ih@C;hJsYZ`T*6g3ic-yd}))aZQ>t&vel@U?@wep z+z=f(m?U(BIxHRslYP51G}jAoPlf$CmR~39?Yfo@3Tg_SxX!3`!0*cS1$vGMy%G14 z4(_m5bbIRK?JI6Y9JOt4pY z%d0BtoW&cM40`GiT|=TLxRXZRWpP$IEpi{o^AE1|gU zM^l)p0vx2e^lysg7s&El)MeWNYMLqN;`L?-!xR-Vdi!heYHHtj2hi}R)t-ECj_e-# zz4-#Um_pNDvRtqkK{zR}{Ar@8{!n&o@Zla-J`y2ltNbxbarHT#WeN@Lmfk7Q8gR?m z2O*+pVm`IE1Dn(q9|cWE>EFUT?uGXN6*tQpQquQLryK8Iffr*2i#1^y5W1e*uri?N zN3zoz^cqcNJfwAAo4P$8`urE)eM-rSe))iE`z#dWi=31fRi)A77gZqL=bKKOxEZ`O zD=`-h3ki3O$Xcy4kHg7C&x5F^K5EU>+L2-icll1I+u|gaN}F6Q!jeHEBU~2*wZ_B< zD7DsvR>0_bdKJ7fBd}?j@$KL{Q0h|`Kv#%T8m5sjey$|T@m~g8^rNl|kILv#^%x)3 zOm=G8ax>*a@0m9r?{US|K1E=Zl{=G3ba#PR3sK{v>($ou=d71*akXDpc({=o-eDn= z+2d0<=nXdoz|=}ejSSI<(}c**LcF30 z-g{VZis}kTwo`qbZlKAt4vDCtITE&d`c+K`0fawtfiXI+YW`zU3CKqR*l!Zj*he+l zM0%Pdc+*_i?lyq-K7Y48*fm3=lB{@F7=xl_5(Q@_@^Wm%IYkLX+Cw-$5`|wZc5Io- zzo86oLDBpkQF>HwWp5b`x7=hNv2TY#W#`j>udYDhHI)mkRn6gb%l8X!Qt|7TN_qxc z%?Rxtze0!#CC(DKrM&&Sv^2#&Od=?#y=|lb_l)W5B0l(c-glhdrvM$qy4)nKBgqPp zn?TV9+}%w9%&=@mc=6 zE$oT&d84^K*pGN+HJahWgC^-Bg%)zihjw1)_)c2x8tioEp$#?msi)!R_VVHcmoknm zgFwxRGOtF&u7Ha}%Zh3Rj?8ANlLE9OG$e;%!B8qXxJyoViwxB_k9^FWnj}G`UI>0a ze*HidjG`9{7y$Y~ZfDRz-`JNA^s5>|bm8W^Rew-v9!B%GfHF}YtSnJG%%8`Qp&KtQ z?I9HAX>6?>9pIAI+=SWiSER#^W=sU~MZF`6==Dwz$#18{y+u-E*hN#;sp@c>B_vyC zPS@IRlY|3wC@sS^xGbLV!>v`rd_n!cF<(N~T57G@B*^G%Jqsh^E)e;v%5kH!%7)h@ zG_{g0)%4X3b;Egxg;UK2S>V#xGajO)I`f2oX-A2X4a>sPDpONr(c}d`pd8z1*{P3b zOJ5+*?GTk*YhHt@3;2ETt3|M`*#P#6fbo$b-59Ju**}t26yjIL*NSxhIA&uiB0EiM zn%cQq{Y8aT4StL&EV&jMxncz&w2bw?btD1EJki=HLmL z76XFbsV8Se>SyX|EHc^?_nc7z;Io2)zdZyW;9i8dP08;8Cv=gnVpJ_S?vfW$n4UnP z{!n1O3;6!Yp{{GCnhbS%2zgl^j9-VYX=CykGXl4SN`RPa0RV@9BStmUmy!}{h|=l@w7mW*rZSoaHIdA zB*ai6l*XN4B=~A67yagwDrCG-S%hLESUbL1vufL!K#KcpxR_4 z`O}-b`j8l}DWTXFgd)h#3w&O|x>+)EH{27fv+q%?*Ys{l;CLP80oi9ICzF6dz#B4T zEl;+(e=AbOTn_r8ZQ-nBJWDJT^^|YffFiskdc7^o{zI&U;VF(;2k)yin!lQ--LxXl za*h8mAy#-~%RpHj!+R@^L#ISeASZv0LPzJ*~RC)vA~w;R7@g zq}!v^Hz8*&-CUp0%gvcQ;^r@eONu@O<@v%mf8y;hbG_;!mH8|jUA|pK?fIA&RZh%O z1@=3}SWno&SoOWaGX8S;@r8Vvg|-ieBZdLLlb8Gu=Lm}+>S?ix3}utcw>WOvGr{Xx zjza&O#=Q$tmmYS=l-e!RbBgAkjGnXVNBL4X9U`nX&$+PvbYj^RK5fTxcb}u~j%YUQ zNM{yRyrBxP9-1F+&OoiH9uE%B|RC5{&3CLH2JSD=CT3$>yDZ=j3jvyX4DSg+!-K7~mP$aj@UxigL7N2&6IOW9O zG&W$?-(IkrhU%I`8HQtLKtPp2B*KUvAKyz`Q7)CVP!auQS9J~dI8dID6bANS$B()}(yx&wwr@;(1v5#I$d{$l!M^Nnkxo}cQ%O2ED5ZP5un zI+JMJ8D6;B*D_OVcPaK_a&WV=b=kGB zr;9fh0X{H(_Qz^$D3O!tc~-}GXS-*ssVn2zM(1l*+gcY?V*&SOb^FsGQgd=n)9B{! zbgvd3Q4Yg4SF$3aJHtOa>|a>l+%BgsJR`d2cRq6E+3(EHH|F_!dEOd)EHcKFjUETG zE;cs2t6$AKqvn0A*WG{P3HN;e&HrcKqY`(o|9j_(wnWMFkjT`KE86p(E5(N=`jjM0l={9D;Pc|UF`+{d*HWT5G) zh~u$ff)8d9#%ZQq$*#m#+N!`iEm0g+?{>=M@CSSMEF`wbvBtwIV3yleNN;xWknmw58Z@niA-U4UF!oOV9!?WA{wF#;KzBW8 zTNjl^u>ETV7NyWF!cZF+lBAgUUG~9kO&GXWC9?LtbE23Xq-=E5 zS+iq0c0=eo36qQ$?x|t22TzVwAeLG~r3noF<1ySw^Ps93oDi5xGg&vmdYJ-U+p1uIETKJ=vIoDJ= zx!-Pu6}~0wV_e>gIt>bD)VoF=I-OLmM)ns9ew*Zi_k=kVUR9C>PJo03a|n1G-j$~EYmXG z8s5BtjG#MpS7&L zv*x|KqZ|-udpvu%YArucEk$;`@hG=rZ=(%o-peznkbauWYFJVoL51BYeI9y-1aCuy zAa_KkB2K_=O*e=e^dk7m5Bply9CN*OBF4;WQ^Y3^myo+6e%VYrZIipkGO#sQPJG&f zD>2eL2|BJ{;crh4DLx`QBMJwqlswlvYKBt18`m|PBKMF|pS|p5jel|@vQ3ZN6hu7m ztAnuH{hrvZfdAtrdB}I1$*tmuYr~^$lz65NQ<-x)UKG+4+k)SI#qPpDI&Q?j5KFtI zM_dhC&9ywC6Vo0V4TLlUwf+Y7AlgvH+Lb-RPa3Y$Wyl6EU9<;jUMwGnH$PqC#GM!8 zxLZFc2cIUHpetf}GPm&P(96jKJ0oi9nqN7qh?M3z?ep-Igm~M&eb`KkoJh?EV<`!` zx-ViJHLr4J&j(@kmTleaI9938^c5bc#gWJFAcY6Hps+=Y%mw2!tj1z(g)LNLY!&X; zhkcfNkHqBjBj+)D=4g>8XOQ4A#eN9i-yV+FY`YixrkYETXI@lXr{x=|E9Hj$%hqHX zE!am!YMem97tqi6g3TH7WRu<>UqDk5L*|jX;7#4EjH(G*O4!X)ZbtGWBZP@$J#2Xg zHXuFGX*;|Yx^j2<3sMzTqiw>|<@p~;OKzVv-$^jxtD7nR`S7?~Q$x`?egM+Uu%osl2LIsTkb6~sP~ zy`#)Bg;b8={9Z4lZ_1KHD1kdbA=jTTXR!vVOnH$?k%(KAgLv4$^#0vkwn|CjPvo!m z`lm>SbSy=_W$kLdMn?_e5`(%;4N(*|va~j3dgmrhq7sO#!JX^9?Uj1d-s27e> zCVfSQWMZ0i)B~5j+~n3~Jm=9pgKCrC?#iMm80*i&MO(H7G{PEtsf|EpWGX|$%kFn> zVVa*EnZQSZ7#$K|F8V~ifDfT(Z5nh0A{bANEkRRil!h`(d>yP^%2 zvq9gf)8g?J=OZrIIw}|$(WcJiorj_79AHleKqx^}*FUQ|tyz`&2h8mGVfl=6nFNX$ zEDEx)GHd-{egxIn*(H8_jO7XrM`e}L5o2R*q4@!>neao5xBV2gOt3}&I8VG6Yx(_4 z@SA@Hv`?=vuYR!Y$wT)amWJ!Z=XMf_aGC<&)^D780t6iBu56Zg3i6E`we7lWQ;p=f zx^lwo^4HXiIOg00@=o|FaECGQ2w5LOq;Fo`5ISVslziTQ(k*!P2;(g}FuEdW^uy7F z({b!*16U{d1NsaZpSkPozU;mk=DcIs%#&PFa^|x<5qXt-uCHLWR^w}6DAKD1iK1xY zZd=bwOhFtk@xrSR(qPpaNcnL{IxDoK*y31@uF7j@u_ZN~PG;^0OOzK5Dy0MOfq9-_ z1^0-64=!!7J?Kox#uX?ak2h%}UQ#8gUEun_?+3hRas&VH#`l8!@HYI#ZrDK8`|b5H zl1{}Gb4%KXC}kA4=9e9PkOse1$X1U(ulL1@V!sZ4V@ zjmR(!xBtSmbKtm-Y4M3n3eY_&zyy`Hx!vt`XR3X$8Ym0i&sM@5tw zYc(l(9kyA;Rs4dm9sn}n&OC@6+fKRdDLBt~%jpJt*|YjGxW}02yQ)qsGyq#|Ce0Vb z;~#|K6C_0~R&9AnqYSP}-0{=S=I(tS^Y3$5W?t1WyFr{IWUK}f~e z9$CS@Zi)QuZ#p3QyM0V3>UzgDSmi0WF4Wzu_wnzDVm0kv@}Xq+{V8saYhvT%c9IlKZ9K5C97ROR>XB5X0Jlf zVV+Q{>et@adf%!B9mzJC_&kDrd3&}X5gydcOB5g$D$s}_p%`~m{L~5K>D4e2Oz;%y z2n00-HsF3k76ojW+(FoiuC`K&=wTe31cChoJ*U4B75nXpUFUQK+Jqt&5t9C!PAcxZ z;AEM{*R72!0~kGy06L~L=sSXM>K7@`)~NaOwSE`9qxO?L zZ>=kd53W`;-TvI2&%N=czhzHFfFWTOUzg6Mq*JG5yG^}g9|L|o_*l;pMKz859>TNL zNOr66y5C(v2Gbt+Dxcl6{&{@Rw1;J{+@{6 zUfc3kY!)9cZ?Ds4Ns%TTQCse0QwE|+;VEc93gz(NN5DS1Nl=V~3JTqm;JYWZWN@GeTU3KJ46xoFV4>gRCTcB0Cbb#o?y_ z=HmwH5MrS9LS|LEKRbEbV}T;~OUoij)w!5kqjjDrJQlwDLgpTAl+8Bi`i*sRA&d>4 zS5XUcsK&E$3nJDE;EKir4U-2c6(|?sWMc!RNz09grAmt51DMD`)bhWQmyO(Q7zD+K zu2(o9P9zB92mw1dl@J8g)trmqEz+QSTZfLjx5w_Ok`Xu?D#{V@`%oFyvvP-{3t;g3 z1~d9W!zpi7>)b!bE8c|s(;h24dyXPc!Ync{d%Feg8x%ZS6Gi3rIm|-!;{tyJ32B-? zuX*C76(1|yv(@jOyw-m)SvT5K;T#JmAJ`aTf5R^oB9 z!R7>W%0HyphN{udwPp^t$wifRHN$WX?5xcbVzYgspyCgCt0gQj?P5gzQbn3HOJj+! z)$>R%S9v=^#3+PP<*YvCo61@s6-ji>R)lxO`wXbkpWC=64NkivL~&`eX=9Q=viBvt z0;DNhh>Rt?n_|s=h2F7L6uMUoRO!#~tP2hF|9FcxrrntwZWBpis3z#J5@1N()5QH< zG*#l?QPHV~Q3BV#k=q@`sYMhssW$&@m3MA&O6*z$oC%G-k3K1&3=*HLFzs84bqi1U zO%C=2v*c7g&T5s}k5_zIm6&7yjwQNwP_2U+P{%@}4c4)j$@i{vJGjtcJWe%fc4UKy zSOXZWfQZ(3?_bj@w5+~zoj5LENo!>@G(EGy^d5+*+(d|&C#&w|j5cBtFEtRkQ{_?= zVq(6yh(ke5XKnaC*G3~Vlh*tLg|{bBN`PkU%qO#yQ4MEIoNEM46_YX-x~l{b}$>x zQl(X@Yokvk7$()}vto=zd+1s1Qr@r;m&RSoPKP!I^q;4|Ov=f4`bLnKV2*kZRv`XJ z4JW0`A;_X}eO9{vBUc$nE+lX@f=$C&0gl4xYy&(bUJQ-3Xbl(M3BWuSa_-uY1jQ;O zeGriS#)ocNm36}{p7M=shKg;N*|Gq0o4p%U(<hPA1y!G4fUG}?+tP7Xqu&o z{c|4}XdL+{SI8WvoV;UL&@)GQX4TE$|%&?vI*q-h*Q% zkH`|lo&6NqmP7q5o>wtm8zNZaOkzvX&(&JT_~DV!Sv|NeT2^aAFO(M=#_W1~h$QN6O z(T3Uh#C$)hGXhUQN=PM{_+0wZ1m?P;^YL5&S1*lyV#e&*jj>+dcQ+$mLZDxK7dojX zirRR&`C~6AUbJnQRq6BuK8}W?7S7m;`*DNJ=tDS^fBae(`cqrZ6L@z0gLZ!RWOm=M z#LReK^ejH>`V1=mdawrSX$vqv+w9!Ua3Puc?(H(`Z;I{TlnI~7fqV870sbgh*k10> zoo2$s%s4JY%yPaEXQb0?kMHJ)*Hk3m6s`qD@YuHD*>Eu8?qS&egkoT_j|b!&zs=C- z!6>-;AKzD`MR)fsJg)Mo9-{yc3&enQHx}tUh~d@Vg@JGxD7o^6T`#1N@1L6x2J7;r znJ1WyM9T|LoNBUj50kK^A;88uhIQCD#YrJ|_3R=^f4X9=eW7|`8&3z>&sAFc;nLG! zF}GOu!wO?KoE_6U!Vs>#YsZK$~hLUFl%y3qBT2-AjpUz$EG&hI5ZHFg#$!emReki%A zsqFi4s2ty8M71caVG}!)^d}_}?)|tt1p|q0-}Y+^A&0=8h}|}YK@X(Xm)V)k$i3}wZ-~f-JbG)~q)_QW zmR!&3g8n10i7)5uS(~y@=9pw#!N}jqY55-THJp^WD7he6vtX3LiktVB^AJy@uS*+o) zcYC@XPuK&(a^H;6k~-N+<}&oJu)!aWt+Y9;p^DMP*HR4?Yk;Z-Qe)hLt2rGV8S?^*VhWW)pnQb<`brOT)Z zw=%=v)~@wef0ya|9bJZUB|SdmlMBtdzTKCpy2-T9Xhy|_(s+8jrblsUpjn*g|CkxJ z_*r;ITsV4$+~SMqRwv#*oU3$Faz=`h@E45p6m{IUu08k;amzc(@G4yRlBZ?uvgp@? z!YXUgfRW19EQ;Jp3W(Zx(NO9THr@ohaxjQF?w%|{i}$sW(fu%8JKlhy z8|_WXzU`=#rJsXEmFTbZkpcrn@os8Amr&3(^K#LTu^W6a0qB%5xz<^XM781|h|vw= zH|TYtL(s+@FlF@2s6PX{sBHu*^Exs_sUT+uu}8XKKV({3hQ#Fzgisi`@b`%>g%Vul_X(+Q$04oij@TAy?l70*M18k=x$^58{J7|$OcHhfFQ^f-)9+cFN> z$n)f$4kEp1lV-hIPiHbEwv@D6c+z^YPi=XU6e7XPLFntmnsb?%oq5I4GpuD=E+4+L z>XVr?lh=0O(ts3Iw&U)X?|$@iE0X_F4bHcW@fi25)&{vQ(xzF2yJ~LS|K{}`x*?et zaaOtXk1s|5CAQvR?;6MQANz~qMz=?aCrlpNq-{T>uHE?cS*Vkdg@x@9W4erK7`h%u z9VlyT>4#ZdqP-5!^87c9ghOFV)%Yrb4cS#q>o61& z5mtlns8LjKBxuKG*Tmq?F|iw0Hv?{6m*xN@{W9&CR#^rgrWPD=#AKf<#MMTkVg}s^ zAY%8g0!z*+RkQT^28>SHmH|YG8R6nzTlDdl{(RjI#3|V@n+4o^UVVRYwavt{k(E+{ z9OD=tTi78`+8@sLqD}@jH`nnc*X>iZUlyH)C5pM2aauZc5qT#)T%92>L^A{g&exM% zEWqh*2h$(l$(X8d{@yyz^seqrf2QIFkB5ouE#!f`nn3I;WP$cp61jAW>}qGM=NW&M z<2Q+FnTg@}Zkp6Ldhl5%`y>D5SwlgKP=#g*+S&q|MQs>`G`z^nf~QD9+|t#=x5n~@ zo*W1&hwKwYL^e>WvvyXl+i2S{@S^D&`8>4DmQiB+-db9shMg0kz^%~_%EQ#2jb=p< z^fYr0MbBhOCg-TUaLF&BEo8Lqhz`;Jg=*4~FUr>@ushi0y-duCJmMY&pB(q2EX2bv z@g?5p2mFzo!*%A5nu+#IF`9{WdKZCT*To3zE+RP4#d9W(0l%%yxXjiee~EnMwNKg) zS0aU*_i4;@jgQ~n_Coc-&B#3Y=*jj)mYJ3h0VAkPgJU)2Gk-o;>!HO^?k5%UZP?v5 zqzO`Nv_?r+6$~gqAej}(%sEi{0cC6GM@-&=btF;eAPi|x&|6nQP^0udB<|csqeaT( zz~r%TC(e1DcV&S|C50#E<7?4|d1lUs{k zFp)2Uav})^zRHJB3X^yaRnU<5yQwSS4ur9#kUtLTkrv&vn7`S{)9019)kgK)OM~8U zimUW$vc2r~)lbpv@XN>B=0WcXiuePn#aFp*lbl3PHDR$D-NY;DORd2dDKfIPruH5q zAAggjY-I!4=Fm30n$n0M`kTu+zOT*-+Ne-FikOm>(H4An5ydq{D0){Z3r5p&7iK9$ z3avV5ii+}!sDbs4yIzB5&_&iv=di2_RyHy}hz)T>4f^pdyzyoi&m65ALSP+g&jw}_ za0?;vl?&_p>`m8q;;fB`rd!lPFLR+|U@sAq8?PT6ui$*0N*Ygv^VQZM3s1j-tdcAng4 zk`4Tbe57@*A}fbO7iGc42u zAJ{H28<$Yl`BZh#dznSyXp1~24I535Bjot6aYnIr(Yg+$LRSeg#$Mp>vRq*wb5z`K z;3wZpc2(S7{^XXXPJ|gU02|0s<#|O07|^D_4Y~sIsQSI9xceAmYq~UyY@4QfViO7V z!fz}I>2)@md;J~fkPb7P3-yOgTRe9~nYuUjRZSNek2}Sm2-i^*l`3SlJR+mkOkm>7 z^AnNM7n&c)vwDN9U0hzwd4*X#t~ghX9XYq)x~I!>HaDuOmVeG@p8euS>I$Oo81#;; zJBlcp9g6c%ZyzK3-oSnKhQGDD>X9Uk&$?j=)y$*3*y0$RT+&2#pUKAg)5S%I$GsZb>$9De+!;Zoz>-#sruTDZztvXzS)9J4{`!Rxm4D;>|Go?vd)yc zraXp9K*rC;~X-Cra8g}&@aEIb17l?Tt*`&ED}a+MC8RDq#Kc3Xe6Zcx6Zg* zX$5I?YQzM|YYYVMOuwz{UZqfVXOOw(s_7On@nIO*~HjQwva*k5d|8?nf8d1RdCb2`g*}A*@h-| zj8rN;Fdw>V?rUl~F&lNGkvuK0<1krfg-iYGI_aS+WKjDxZq+J zs3d>ybK>NTvTR?H?+_R3bs5I@{zzNK2BC(-K?KU;_)=5XN6WeCt=hVigo(KLdS!3W z$viHSjMfa3cl>*@i*k$nJ8zaN+4+t7BdoNUJ*&LLDz153l&}W<{BtZz_tC;yiAj(W9gb9N~hC-klV;j}x%ayq< zllVcM`C8OBdhFKA>q|{8^+W5i^9NV!2mOQEiCz7}f9*j!&n+)}p6x<{xV|XH7S2n$ zqISzHi~uqG-Y$un;VICN1bf^5Yon-$F#zoSI*W&HU`E;`zVCAd`&Syjc}9`|xIijt zObNJF=(~oU#MM4TEr;mz4vo-Xbn?1^@SQO8tgNn!pIhT7ZpRD*!|IiQPO9B)hw6>^ zQTL62!Hu`j?2huBH5B!xI22+6)N^LgPE>IR?hWbiN^zRDh7{P8ve}hD+Y3Htazaq+ z)4LVQ1mVG?+RgMt;W->jnFEeq3P=x~=#xyu+yyKedc?#D{40owD~UnyIMbeQ%Pk-z z43E6Y%Oqjp1moS2;&R@=LPT4~p7Jm>p zEvsF-rMq*@O$ObUl`;;t=c&ut+`8%A?E)6Tue9b;Lg8rNX7%+}((V!_4N|9MLmByECX;?`_%vs+ z`HO@)vL4&tsAaQD=yX1mGjRS-TE2>72{R*&>?QiiA6xtTPX8@f1U>~kK2#dIY+l#C71M zf!^p(CFlCl;YiMyh!cOzrG!INe8<<)Y-bt>-HZxeqNc93?S{{D3a*Q-Tat$ADCevC zDCha4+t2BKJ9N(#nd%nGPQN4<&4HAwJ{NpLvYVc}cpn?aHJ%6lK_lr8kdB`8u{$*z zCqi*!_mtALkw+1oCu^By0n7X07u8Ki+3K2X(NAQa3rj)wZbV!UF~Y>f_?SJfV(773 zK{EzgkQdPrBXbw^+ylJZo#|M=~}TyQAyHAq02rDw1;4mt9C zK1dEi5Z!6j3GwXIz@pF4W0b^Z*Coc6K`wZHK;JIqJtPXj)mNNgVu|QU$yD;;dS=qN zOd8%qg$r`j7tR-z+yk(D_qCslplj9qh|0SHMY;K)6BD#id???6g>ZsHxR}Q0Jvz*V z147+#NJn{o^3TG;PtN3X^A`d4^L8#CO+zT<;eK})y5BAZ&vAx8w388$s=GK}+^};* zwa;}a-#lo=0=f`}OfXWfxvcC^RJN>lKK`Fj#-B; zyNj*6KH3LU8i9IZtE;tj(NSut^_DCoJJUzKP zT-oShU9M1BtyZXT)G264n)Ah|SGHt+^ExfqJgduN`GCaKb?(;Vp{NEqx-YGOX%{`* z)ngKwTJb_#n9I{#JnRsADKR@e(;_&4p47xJ>Ea1%LG zvU;4sl&3yhQEX}<}JQW)GA+puWa%sTUM6^I)5;}m#GVm=PbiPWD+YLI)?~YQ)y_? zLB6XRF)Xg01(9sMaj=zm7ldKh zY}5GBromvKJ_RnvoKko%^1w0myN{ty$6Y$cpf!VCcWf#c5 zvEvqgNa~j1!L>Dx7xrSr*xp#G5;`|34Ia?G)S8$;9UTwGeO9bfPI6zV$6@^p=&yf#YWNE@`B-UYMO5_BScxffxuE%!e|zW?23t0 zKV7wf0oHlx1t+VYR5`&{u#`V>OUb=Nq=?86LYQmPzzOgShpadwL{(WFTK0fCm@Xu{ z(hASq+7i%{yfMh~u)AqZkc_$WASI>%4^e!_ma31}AG^`KI1Gbt^YaD}aS1P0L4>g7VD#;}O-b7roQ3-XGUWT;B0+HX6Q)*I>593Zk(WETq@1)4rYfe>9fywIa^Tr%YwcrnE zyd1(^f(3advs8VI4;U1R9J#*Sjm4%>Or}q{bkm4bR^!45N<{FwK%8G>tuju=ai__g zqZ66n5&fFf(W|F7Ei{)Yx%R5nVl=&3Q;WGzi%@C0C5jPf=R$EdO9Z%I!{7Od7O~H) z%nOGvPiAUQk1c+xA3;yu6062F)=$Ngs`*#s{Gb~AnYV2-*$)8)Y}|ZGn{+@7(7L$h z2Xq9=P4xnQ?+;&wGYiFZ4o6y+U>~4FR_JnKNF2I{-KO-P_VI`Cl&QOxRuNqAgtzv? zvr`I&kOh`F;ZzP}`VgF+o`NF74$b-0g~X|P%??WXqZiWn5}@*v+|`n`ha-oo@NPAU zeaI=|k5eD{200Gf{4@rPX-jq&^|oR=HNYmhn@B1ts`NrRf5SL=Sa@9iwP8%$CTkbT zScf-n{H9U3%@#|%2#LszF(x9YNf|O{Si-bZl|U~8Ac3s3Jq-{mzrS~zSV)|&9mNO2 zf*}+wX}Mtr;bn}ciG0@(+5khu3@Rgq^-?TtOzHFTk)}#X^aK#lyoKNB7Rg-tjr6+d zjrrkmgkaRZozOIMfi7SnNQPsyPxQbQ)V+kgFCm$Omm(!Apd150%u%;W>IE!4T)60}GGE8;Wn3&dyiarSAS~u+YtZH*mTZ3(9JxKytGGDN2WFN*aY&SY z(O9guzywpqKCzyHiY_N9YemsU^@Fi&N^?T{O)2DaKbUJJsWh@xbzAcji#jz>CH-gn z{E+*qGuA{I>Od`RLv8>)k=AoqNWBk zMK{X?glG%U;P1>0-Uoe9q@6&}`3@MpbUy$mXL-Vam{r@45G{>#3Q>n;Jq7QYz4wz1 znh0AfOFl{L7aw;Qb7r44e1xWWPy`eIv42+`Qw|*FbnVZlb!p`Q*1Y) zZjL}u2=U*50FGX+KH#+cz|um(2PJQ;<_ABumIjz(%9RV)(eHgL5BoMGW+>dJ$z$^< z_#aAwN`kH*k4TyMZ6-!NVoeUYu2e2bI!Bc`7H}J<@(0nN^Uev-LhFxGTGoUgSKb%d z?P-;{H)8K-XZkXxn$FlVV283@CG@ zTL`$O954z^?Z$^qYu#3=H>BkzdZQt_NSAChI^ri%KM}la`8ihn&cs=jV{$$~^k!8& z=r`6Eu@`?89V*}ul?kRlAxK3NROY&DKX1*F7o*3XWPqG}9vx0>#8IYx+=qX$wcp(urHZ3LkPBqOA;Eq=c-?!*oQP5r_$D(hz*TK$|Hj};_XQmY>lG~9hxsFv_U zj+gR?M7vqlL2Y!>f;3#vqu~{`WP}3!6e?_rqs}E_TM(Otr&Etm)oXTYhGCL3QoFI;#7 zZ;|Iyb`2ZItE1|Bwb#nY5+4UA8~uPxp7Ni;*Mo>)q+!f0=oaZQVyd;)T$4_ZkrJEV z`igK2t2iR?mtGz6OQD@iIkCaUSz_*-upc;e7g10;V>`CNIot1TmTaL2%)mHd#+rM3 z>lrssy|y{9Jto+N8d|IkPs#bG%N(>5n+yp$cNW~7S&n;vTRrHc41e&v4>eFdL2`>q zY($j8f^a+t+(O7CB^J=?}vR zSiIar&&jm%CYohY$(sDpApZ+jc}s2$&#AnJ^pzLTjv(R5Cw36hp8;+2F0cc~HvyVo zrv0xh5z^DD;vg2SQz}Mi(`Y)!aK-A(PmS@Brb#9s@=5wWH|ox(niLi{*s>g@z&m5E z0<^XAAm6FtkB@V(oAxaov{h^&4>t08bUFV&07O8$zj>l6AF|g8P2IA2s3BPeTt-M^ z1<1rE&PiBL|8~s_>YR-sLglU^=>=^#0!R4m&%CfOCDJNekp9*?N<1HPC(10d%$8QS zsKT6CM>&X1<7y1l&ywT*_9$ijsOQe3eH;RA=H0KF?iNg-Lr)`0i16^|@cJU#m|aL?ik0*v7f0gOAEG_y{o8Z#L$v3je|s)} zi1u9eZqH==1GHx{?!^=zaVVp;j_CjalQ4>+P#vx7$z z+4qPK(19==qOMF41u12^Ct5R-6aOua3N zRfd@#ovRaDnYd{vBDg$9^Xesf?9b09gb5g58mR6)vbZb$e4DtId4SYoF?wImV98hB zQT6Lh_&Upfd-Ur~49n5l+)j_iC&skAXb2X^r*bE&(pB~KRdkb$h!dV+HgG^JUUPJ6 z@ToF*4=vQLn#YSExlP}gW0*VT$8)=tb|vDWDKgj*^@d~Ro}MWFNs;er5fxXU#nXa( zS#9x@(lR3+-ch<3Wy?_#FO_2uFEaIw$!pMrDueH}=?lKNPaoT(2#G7z*KinR#6lV| zB{Vbuin$*cvP_*_f??&?$}ZElt^CRRHPwE92t$r_Vn~l{tftO{n_aJ|E7)*R5{R|? zOSN827NE3x6R6izn7g@V+ZLJjZ1@CMM`uS90@K|64-HvpT?D#>xp!ywlovih;71+= z{t|Hxm&b!PyOYfb+dm8J^BoxN&aAKg$7S5ZuoPe42FWUD#Cv=RzddF6z2<~#*ZGJ8 z4*vg@5sbb$44xhauPCO$fR`Lul4BRR`-h6+H*#a!VOIaIk7NSc=f*za=bdGHUMv|J zoUYREjSLUIO|w@HKL#TzbFZ-CDy9ZEWr>a)7?0=k!H~M@P&pWoS_Ze1VTXG({qRJj9fQ<(*R**eh1ro5tuSy`_g%|zwyonO3tBo??>A90#Jxof@ zYB&esJ9cOS5P2rUo-86CQw^vldGNFLIOmr5W>@`E=q1Hi*Q9kh#7_vQ)AXk5iEblu z?jLIm1^Ku3deM)jwH!$eEHX{p zFm%Fj@}wSolqNCK^<*qEA{DKuQA9r5bUEa2A`er;b)(&AY+>C*1klx=4tuyBq}#@x z?mbWP9)jOh?U}HoN!D|AQztl7iYSga1%%3Yg-x$=1X>ra^ElY7 z-|7Wuy~Q<0vT>wJs@Nu9FaubY0cd2PRn(o0o=s6eT(mE|(BD!gxd%}f8x}9ad>fDh z`m^Oy$@l0JCoSg%`JoR!`|8E8)*mO}Uiq1|n^`+(u>(({1!aePlx;RJM{{M_$3L~{ z;mM;%L!XpXVO?^ki?k^9>U+$q56<8b`^%p^Q>NbeobtHT=#ZcuInRr1UTrvFgTc`} ze0<@VG%(Uc&ER?!`~tT=ti}J8*5cPGN(_tp!Ps0L`rynZh&qPj`Hej?Te&%;6egh2 zZlLhlVA%K0WApN`3-jzp5#P|m8%!dWsDZB0bf~HWNwio?nR1Ro_1P&mw)55#t*p}= zK6m(qw(1wBIrA*Z_zHHp4sG73+YltT`@!)Ex5mBje%X$-7WB~^fG2LJ9L@%~3UdrZ z02Sh5%w^YZ!W|Y!ybMR01JMAl$#!tbCBgw8g(NUPQV~e-%{?lTf2tF$D2kQ#?jZd` zG_Ppevx;FR4sKf$;w~e!&?V}pvikbyD8c?H6NlM@p2Zx#1zL03AYiXxh1NY$^Yl0AD^RGiIM}oZ?58HYL+);K5+G$FvmCr72N7H;u-%m54SP2Ml+3kf33OutEB&cv|;n&X>iyt zlG_c)Dgph7K_rymKph_-q^56?pd(JMqkK2ha4Rf=gO3o98+qVsCy-<9CinAc~^}$D-XPGMe#pe%#SD>LvR8#{;LOUA*Y(f(*y~>iM zR&RH~lQO}D-N4bq;{{3_Hp%Wm6aKA#YQcN(4r(*6ir_>t4R}0Dg1zFOpbJ4?G|tT@ z!IEG99B&i6n^jsy6Jl#~SY4bzJ?73Lk*UxQCG$Fih&UQya&dgxBPGHFGuA~q6{wV6 z-J6)-VP~0cs$5lTxC3%rkcG4;62v9WmEDp2fPz!F#P;FkOYB~8$r@>h!3yXH95CKJ z#3a;nLmq|=-Y3+&u^UEujAy9z4VXm?y%rP}|1RyCri+$=R5a{eBMGZ!DGD66jI15R zcWd81;;UHbR35$7+cOJ>z%H z6S6^0F(pOvk*V$11XU5qK^Qn`hVs*s>Cw30$o`xyS8VAq@}{6AiBq(Kwqz?~J9c33 zi&*(0UMkZ9iwLVcUMLd!ob+ydP&?QC9^U;yLl9OCV2=D3%&rEtTQ->9WVP6GKTrz( z7acQJXmx_SoOr2rI1YX{C}gfx1L8EDdJRJ|3yHG413gt(x~hznzERA%)# z+v6P=jPuZgH8xeB!VPO8{`AMXh9$FXHfVshAQX6_0(11x>9G?eETpXq#g0*>S1HVl zZH9XgdOX7oa1aw$rX$UELzQuusa7}&aq@5CBC;)k4fMZ%q(Eg#Z~cXfDWeT%&0Bd9 z9lC&K^o$$~ZZK4i6mME#YCaAIBQ`R^=#P-I*2Fy2t|Gk*s0zWw&n}x7MGF3kjxYVd zu?jD%oO0s@2g?=^?Hsd*O7=ahtHXI1GMm{w&8Sm`kIy5i zh_-P-;FkuT3jCxyT%tLfnS<_96&y-}6Q8|n0oTi%jc|>5KQk-*#n<{OXf zgp^58wDN*{8x&Cs`|c;2=7Y2nRA%EmsD<^LuuVPh*3e~KGQI=En9~nEJ{yxS_VQ4s zCV*q$I*x9bC7AW`p{urlcCO#>rm-y)kc)vu{Ru5ZIXrr=wI;~1pLw_Vwl*sG2U=2!k}k~xEkFm@7owDiwXbJY5`lV1Xs*F9Qj_Zm{% zOvfP5j;HV+xLYT9w*A8&*T@(-TL-f*)=2J~4>PkQybBzauqoeebWJHNpcO6V_L8$= zIo)1GOR#;-;%P6upbW2~LZ9cmI0J18nXbr6oliz`$|&Q}jtbglO0?HohR^7Hcr4v* zPYnCeS!;@!Mk`E9nwjoa-~DlYHAt>Zz13|N(zZC(qLi7&sfb-X+%*nQOWnzAo((sv zuFj+KJk$&Kwnpt((~9s*qk*I7j;|=;4NyRA}=0jo>9jJ}_2DsV+=I`w zM#avx^g@+2rjGz^7!OR)>8g!NFpi6!07`ltH;@a}^N|GRvDt2~%cfoPbl6`cT+tw_&bHzq=F1nT0$$k*0zZ)Ax!{Yfzr%XHBD9k)ii3 z!M~$h4?U!JofAT6T_wT6*DoJis^cWugmC2+NUXC7nF3_94dK!ciX>Zw3><);N9s?q zyZC-visZxC-9BtdE;FRV_F;UzMC>zif^3oI$NbLB;R@ZDl``0#{zNoE6bp^ZaU*l1 zJ&)&_DVbBk^0}g{erl|fM2Xv6>`_4X1550p3z$?c;}jKcb_%X|5pAnFyjef}@D<iHgyA=v3HgO@?KQNwG^xuemOfQj1To8f_)xZ*(ul_ou@0rZMamv+0`L z6pfpS0XcYp48zlTYB7pl}1&8)8-8!X9U( zGjR$C*G2S-X?@`KR4`}E>2RSp4J95CC|Z{qePeFqIPa6;*Cp;&9K=isIoQn!No~oa z83`kOTch9a-5&ixYm4*?woQb+ZW$mnPSsnbzUbX3_5P3?!^WD$w0_QHBB@qbw6t86 z;yPvS?Z@}pgh7;${?-ueY^yHdKKtHV-!4SI|5_g75yh;+2cPUDj1}jfAq*1oy1E-0 zX%`yEQ=L8A7E&?jVo5btC~IiaFJk1A-|>tYHDnPgLaH(9dUAR+nPR4}=@4mvC#R~K z-&EuA;ygGDJ`Lb^U7>n9!8gZK!{fTsswFOvea5tfkk%Pf^Nw6Btn9NK4r<20o1DS! zLAUgAN0XD_;Ot`9lpVGQC2d2u-icLq_m1jg2<*yrea6WcCYR@Yi~jg`rL6jR7j>;M z7oaiM2FSL>OF>=1^vtJ6e^RF>chtF7fo}kNe9&N6F>56X=W8#WtP=`#Y~oT{D-7+SPvOUQ|whOp6H@9_{F%65_K#78-|ZH-BEqf&-_k8m05(ri0V8`jX0 zn<=dX1m;|DON#W@Stq>?$hyA7T8P zi6HCBpuyM{<{ph#Rj#611Z($g5|aTY%qfhTj5|bA9FxAwhF@*w6@&*T=vg=)L#>#F zCb&LfP8P~|l&-X9jP|`^9WF@-f2m4wQL^ThL7^Nm#P6jEjAgT%f%^tMg(D4@KuQ_J zCKtMGPD6Fnz$#^XV;OH0IqFMgc_uTO{yAihY!tQlK-0sehDSLfJT;l)K}U8*J)0N- zxVb$-GPppw>5_ye`seg~+=@yvAESgY8xIumDs)j- zJzdrER%r3o4gazMT5zRGq09-fotV&M^;X|L(FX@c;@jOJmDHuF{QWXDyKaWR`^o;H z!HwAD0zrIx@S66eFl{OgRs_O9;z)3ZdKk!T%Xgb$3RMKCW{{Mlv5C+0w3W*ge`R{G zcPV!=-c6Ef%5CFFh4Q#cw}9|^70?t=7z=Y2^8?3GBraAeWfyOP_P<{ojcq;LH(3!s z`5-l29*uuWesx3PZecKtCchrYq-d0KLYuSMlpT@vILdQSQXJ=VC;Xnw=d`-?+l}j7 zdL$o74pP%|yqaY;YUY2<7knaB%VqpVTws@{%+#uBlNEC4D*+m2J9xH42otj}=~AWN zNMIg}+!w$pmxs*k!4xob^xuBc#Br`dhDq)*Z0Dj>h!e})c4iTo;<^7R};_e zc(N`*MIEYeK!dU6pI(Fsob2h)xAk)swmkjapvHavHAk|yGM&4YS#nbyk4_Z*eLYD) zjST(usF@1=VUH;G{=_8j#)W=xbu;W@L*MCYe0Oqm8DvgCQb7SQZ)6%bqtbv;Mp_AS zRSy(|4S$7c*yb=`uu}~_O-D%*K z3bW#BmniQAg5^5W^ejY=4(!f|(&D1%65fV|s(?1%IRn@lWQCBqZMv;cowUUsd(#Vw zd$2@S=sd>6uJ{iWftSZO!A)|t)k!{4p>v&#^e8Gkf?WymlI=Ny&60ixbK)i99SVQr zA}-tnzY0brI;(R7@5_hL)D*|jsSS-P%5PCo9E9H@HdE!{jpuKLC#fEg#^RkflyTTl zI&u=?`p6QwmFP?da^vp4WCMLd_-2-5o&BWnj>P!M;q1uy>6x>?@qAaVrPr}xOFtUw zS~g=M{B1}+FV)+1FVgc4LQjvi^BMgMUuFsK*2FiHNtj^;aI)lf`Ir=LR~Z}?6%#5C zj51UNuYUdu%4V#8bK@63BS4!+UZql%OD+^0?PQaxFXzGJ439;S6f}jO14oq5GfCH4 z<2|!y)aQ*%pXkC9BqYN9?HNbY=!Vle!asu7%&&b23M(g;Sk)9hE#Yf!K?(@T7S+6- zET)A3NLM|%yu4K131?9wTeMne^gDZo3KcSnLE25oZrv;!=#{`|#vzkc!$({MLAlB> zPKm+Xa#x4Ohq+zf7Br;DyAujAz_yFh6gy-PCZw?$VU}zeIQA5cH^>?ei!8lOhD|^y zB!*P7#+NUD;pTa!y`+Vzmf%u%7%C$0t**4S2t?i_TZzoqC<-<4_^4AxPQ;;~I7wX| zR@PG~f({K~7t3(k{$`LJ>-iQv+no9B?~{P(je-o#Qr*ne#keE6_vG@7lrAJOO_h8B zsxw>{3l#c5?nm~v$#{H-lm**tTP2pJ2tRIF2vjzj&Y0FLsrF`97szwwHeQ)yMmolbY?o z9$1xf*frx(WMnPbMoTvlp*l(`N{E$j1Pm=tW?7zrN}<&{L1O1n8nB_Y2Ckn&Uy$mp z?ff(r&~>=TZh}R6QKPVvp`6O9%OzSnt~#(KrJXVNYtcZb2l~`Js~FIRNtKV&}!_t!{-sVM=7`^_hJWW)cN`a zZnU7Uy_A2Vvfa5$L7JrEFnSwndNMC60$c#%F47)8H8y>Bv!N zO<*PqeKGS=<|vEs4Brrs<&!dD?Z)s)J0)ps6lkf+6k}6} z{N>v5B^i^AS&jIp3E0f|b2K4f`e?LLuzYK}ro#lt_gS#WD2xa2Z2|LLbP@>Yq{T`< zv~Jn@!6{``s~XKKuJ~2-23~u#&aqN>`)d=pVA)JJ+p>e3z98jIzXvB1%%>ab&;?Xf zD+lH1R&0MYpTo@p`=eglf%ty-PSpm#Z&U)C-lM5w6w!NwHhtTmo(V*5L1*x~r;Deb zY5~7ZJ!s1zfCa!h{dYdDfnFLZ5Jx&-6EzT4-0;EBfX+~%A0PATFfm)OzK?D4Lq6KI zA}@kw>A4fns`Gp?6x)qvrMDXafEH{Mr70S#^RSqQpt!E1co9>?18gaMPm{K{MEZEA zUG6>PN7#z54pf$35*9R_82pIws2IzDjQxJ07;BsHVNUN+-Vllj+lX_`ck#Z4-$udP zfzB%vfL>OZ#otiA-)cB$g1?}@8Q{5PZDZ^JgCoV87&XkYDD$o^p?HV6Dd3lNaFxA< z1p)WQCWANl9Dyk-LIf?ZGSdBi`Ei|ozVW&?SRvZ7?5u|7%G5e0Y_nBFG=8JQ;25KL zS;*p8Vs97DwQEiP>~6W%%iGvEpn`M!pP|lByMb;rde6DU!OqBP6FCWE`YR{2dZ{<# zX+W{n=Z3!!?z3HWqD21=b>d=%C5QDHRMp~o5%`%Y>cQlXfBD!X<8Y_-hK%3z{o);Z zf6lETg!kRa$C3w3x%7R%qbE-}(pk5nvA5(WT-ZuN^GZ}NwhDa~=%?O%H#x2$qiH8k zQM~a&>lRv9U>VOV-52>_HDanO%42}E7CRY$T!D=fxJaSRn=%u}L{gj*;jk6VDN5tD zK^}YL3h7a~vPNBp^Qzi#+Kc8?xatl3RC(QJxNPxSBXt*(lv4t3!7GN4dj4)e+;zn3 zZ6C1zRla2o4=xX;ZoLhI1Ii@jWp>c-P?J55l6lPM=-i}!6u7tGm{8JVf;kdp7rk;$c) ztjoUrak>-1xwE7kys(EPF2j)Kz$%1wtKs*$7!$*aS_)mbh1*FEQNX>YWrG0yrkiSW zZxg=3|JBeu>N;lCuzO>CG@+=gF#+;tryJ}iK7``%=_a1%86PC7zr}sAZcyGwTon49 z^@A&XAih&bzEge-ebA3L8{GK+^2e4bERb4V=w!&O`8jyQ?M{C~47ngcPX^|0z(*ta z&m<7l3Xb<6Z1DQ>o7!Uzt>EZhk^vtK_{_1)?#4VMYLFG|UBf$6v40)!Qpr2i@=n#f zOFexny8GvvgL$?&@)CF81WO9U*=eKME20P2^aG?$4inV>^NL}*%DkXqo{n|bi$5`` z(=Ko~pNepw3mtzmJha?~PJoXa+|wM7(=aUEsc8K1*ee?6gN?`Jga>4D^1dU|FLEc= zkc{0{K^ewVb|t8(1@rU_Gj-x@+H%vGBXb&r)e43j?!6Nh>mSqz^IsC*y+dp7fw>x@ zSV3|vtNE3UJ9aqkYuT=vNbZsJjlkP38+{i;X@8>mUn&2G_#v*DsyfKzWuSsdq@bwd zBg$!Ar39~t7RECy$rPRsg9A)*O7npP3c_|~#D)98KoB%g zkwfv`z_l%qfK>ccwwMX*$TTyuB@uG8SEAg*-64~-;UyoEiq`+rb-+3Seuqw?SW2?M zdsk3++4Dw3UWwmT$vsKE>|xt`fPUZ;_j?_ned8wgJAS(|gYA9d?vuLFJCtF+{Da?h zt#mKhTqBNIuXLL;(l4BT8F|!z=;KB_h{-YYo%EiK_~?TQmk#vtc8*dO;qw@zPT~X|7myvEPujbkE@t|1XFn$MD}~4J<5T>{82^%5*HDhKYKC zIB_nIZJXy#9^i)Y)isFwva^X1L4*wl(oM%EH=$xsZIkU=2v)u3&SrD?6>Ud1QFMhq zW#*RCrMgdRW_DdDJbC!=QSgdN^1QDYuN+9L{jS2aIh#Hd&LE5ga?rDP|01U~)XDQ6 zwIsy*oJgV2Loq9)|JV+Bkdn_y`aYhCELMR+ z6fVhTea)Ap?x$#uH6%yLGNK$6Nm${(L|IcFI1FT0oba`sp6EOiFQ0JWF7m1Vhv8GI3{|N>Q8TqBdPjUw$JG5S-oQDQ zq4OKVR5N5hEUZkR6D5QdWeHjoWfZ3#cb4%ilPgwMU(^C2xFH3#gs&>R3|1i~BJkQ` zO7y7TK(|Warb&?R_X-ZnG^pTogG0>cEwM~~iiFY;xhW?YlJ06M20cb(x{9M2B}`;$ z%r>GP%sG4(98&IK#W#V}Yv;iMY6F);_=(g4{`(mJKGU=&cYn604o~15ROA&!`#bCL z&+J(A(M#_)8~-NfN0afeMn2VH=rdnVrafqh9M(1Nym99!yqii_x4)t;N8tN1j(&jg zany1rSs6#gQ!3is+WPw%M1A11>+P54w!sg-1I5t^p^7G#Q;wzh)yIBvu2_yCmnkUV+2VpqGe1vsuil0&zl<{VXhT*L(tEK{5H?>|*xv2o#LYzgQTmg!ymiQ&fo#^6kb?bfPNd2VN=@ z^qs;jxWsAka|zB-qW7-A|u!M?1R*MiuIoLtQUod z@%aa-_YCVj-&yb7kLX->@-NhqGRRO3aw}6l_jnsp1f&;)ZtS7T!0;EUD5A9QAZCMP z|2(=09)h+|+{DOa?=lR-PBRhtl`#o;6?h@}dXv+Q0kWNtZFA7E)B#PuTx|lgX%jx| z;i>+%xf^ZJEX?g2IjD{w|M+V2htnVbShE`FfTOlc8hTE59%cGX4ww8Qq zH`5^)Ju*QS&db6EyW%jHlW3GY5-x6SA(uG9;mVNL;yJKapqumOfzm0n_+y4L22`h6u z{V5-oX4mV1(C}6&q;D6E?eK>LzVx->PinZAe}?vm4DM{sGs6T4r1u-~rQ|WnHW}Wz zZ5)q`@6hQ*RYV6}-#UFOMLp00VcT-BuNN}f)@BG% zlh8;AR^~`{QwXVo(*lXCGFnAfBd2@jGc&w+_0?lDBo}!7p0Ew=_{n z2~P7>n8t6F)QtOZfymEnTL_HW4DVW9Yj;N>6lVIdybud z&$4rRG(9?DXv8Lbo#jU$55Rx7bik>44A!kR#K*0DV1jwPb|}sv#7K{xJqr%->|+xb z1r@00qsNcsPa`-hx%$`Pbr?iy(93uhCt|aTz@newd!Kz46xCMgZaRiikB(!YX-}(k zKJfBAlBX(6c)Vbh>wp(k6H7}mDg@RHmo3X1)MeCjjKE`%u*esuY$kCbmWdPNU(c0e z(?D~%jXTIhaLyNt1UAoVOBS`e-|I)fKonS@-+-)`rMJDPel*z(<)Eo8Tveb>QIm$< z&}B0b51)M*y!vJEjF@~LU?J+#Ni$fl=uEbmRK29F_I#y>EFWy~-}EhwmkHUr3G*F^ zx#jU@vsQ2`3Ma16iw$=vo^0L1bKTl*AEMM3v> zIk%i(vV0(D@jatOYZ^jWogjA4uOjOLT&hUoEa&kaEM#^)bzv%EDjqhI!c|_Z9hnEK zG$v0ne{Fabg6jY@rq)0^<;im3y=zVojX@^0WGHK8OqH|&A~K~#;qqfwgrSz~ueEA! z8mciS+YTB=Ytm&KdYqSQlPS=0h&dV@z0{mdi!``_J37d5K+!vnrlOfvWR`T_@2$Ym z+MVhe*Dgm;q7KrR^`&bNU~n`FILua5wjR3ypnaW<1phWAGVKP5RG)r^D8AQn7kzvqkkX z-L1kNk!qkfFpd}7k?#QIs562oJ#3=3_T*y?Cb3$ouudzGD7c#^pjR$H$8TM;u+_*>1vy+ zGR4(H6l-)`*rr?YcIs1U5AtA@LiA12hfCj5E3sUgY;!K&Kacv$v$`JDTC`;9h zw5^U5uB}FIDHA}D+efk9lRYVfv!Jv}pJ{+&VDV(6ml0Y!;6g!&<*OKz@3pu*44jdq zU}0N!x~iza>l`MJNP>Q;BxqIpE4Ye7BovHb5S}C%OlD|^Y0*TmaD+#{HWZ^HXwEF* z6cX+_z)#FU7|!SBn$t#6T90Ix!?XmuXUWq^iF8B7^r#7xVLg`<@m%8zDc)I|iC?+h zsdK>_KXU~=obxu^!s^8_)R%m?U<(=9i&Hw|`JU0x#?wOEBr{*>E zKE1QO_Da_Nc`dij{ovPd_uZqLQ5~mQ{@dW!B>d2KzlG)WYjRVmKM%64ns}rUqmx$? zY*^m18_-NC``h>!J}8F+H&5tZSwij0Uf4>uNn@nOh>HjW?#bEl`9-78y*nMSo^)rM z;iweUb(RT!YZ=+jnP3x^*Wc(AW!YujnWD+{McGY!rhQQe@9D;c*Rki;HHSwhX{*_F zyl9nO`vJeJ!a@gJbn~3jJm48YcyJMDkakItgF*wlonmYDb7?1Y{bfF%+ii3MQ?p@O z$^8)D&9CVeIpQC!NbR1}DccVQKLL&3COe0tJxoJTrx)QSOw%a%3EcZ|Y_GEGFj84w zI)LBxd?=W&Po+0k2QVSP`LUZD-~kN6!vS5H#!O1k@rDp@$G>+L;Ev@CxBn`ioK?zq zLvXNNF#VC|V{Bk|#gAwe338?kS^MHdqaf+3P&h{{xHVm~d_@Pc%cHnhXQct78dKq8 z{lGd$bp7~2U+bW$QIa!LjfnlkygEp=6i}7FFfYTi6`n<$T?mxsj{AaoiR zDKbc4-iQT+5hj;GZN|-nO7WJ>>BZIcwKE+{+J{@ZBSp)hM?&5J-s^$cyGo-7>E?W( zo@_1Q;tX$mzlf@LrY zo?6-|)x^6mSeL>B5|Le;_IeE$LqZ;J_1NJfE%PwmnZFNRL7*EIh=`gaJK`c`f3J#Q zJ3Bf>TClVG$KzHWPW)c^&gc*|OazOF_?2m3Yr(nPx^^ImNs`EHa&##(ctkie5=9C{ z5*=knLd;8v&?f1Lp~|#{7C9c_s8wvWAnnE1tn%0aRS)aKiBmK^8DW?86ls9q0=<}p zI>@MfS#Ag_d5lTtPzSOa;PK_rF^=%%{o_-ul121wvt65UZ3f)M2@8$KljPny5ws-7 zg0=KFKVqvqXNYrU#zN=AR_kMdvhK#F&D#{S9)&O`~O=!MtHZYfZnwY3xiuI*Z_uh&)1m!GoSAMgMRma&`E*37cL!dT^qo60>uQvv%b@Hlw~Hv>*IRj zdHNZ3+fJkso!sPw6dPHy!(}4ia)sRST}(pv#X8i z(G|bQfk{-%RxK&`s)WS!22IUC8jzE@9`r!&qiYF?1gE=D&sfd^BsWHV9iR2+Fsp{>1wQ@bdW_sM1 z?@5CFm9Q`2>{>Ul*`V}6wNKZ>WQlRcnN+E3N>yutBexr_k)1gc z&T*mr&5!?7a5H+ET?>)x`O)NTuoqjw?t5wxr(B0(dN3?BpM=?uh@=0^&^&b#4sXV{j=7-L%Osdw@iRr z{(Q&uhg+D0#uU4Lyf?qerX_D2y2kYGA2=egyQE3zb!}|VpFG{uwf(sbVYmg@x0y=^Mlf?f6`v#Yg!>T(jf(fJp&=#@E%Htp!Mm_v?1KH7xfL(fJ-w;T7DY$xf_+ z3j(~!ObBWt>ebnblR-PdcU-vAy}>(s(dO#CS|EHwa22;&;g{aG+1`Q{t_+itQnAwR zz}pZ65*tRK2N?u{6xqpw_>MtDNoY;eLi^u(-rs7m>0x2_QK783``_g)P9;CN+e@=@ zr>ATt80_Yb>UGy!4OQX8B`|6Cl}~^hT0?64@zTTV-{wjtzm=~Q*^A$EKNz?g!@4fr zP<0e2RFuK=d^EY_avJXO=gpLN>{{u#)!VJKwcAq7ezPN*?n<-7N5=z6;&2=gyd6jH zSV7$PyxUb#y+QbQ|3YnnbJy!@`vX8Ot&7F@%Bg|-I4`GYUc%M4p| zvM=UxuV@F78V`b~v`WybE>nIMa)3X9=MO%6HLT;|;!WgOng_5v7^1rwI09#|-3*2e z$LLD#se>Eq?M+(5X5ZE8Ek0e;uc7H67UX|qaie-D)uVxsv?s(fO2^^$XouGtGcQuGb^{Us;hguTZ>18p9s$r5gz3p zaZa6-&c1U1gXF0u*J<;&vvVB zJWgmD$FQ!z1}$z@VE(2zu*(>?+X9ikYz85j2ZH7fZm6q=X|#U#?oajv{vZ(N{nQp% zUXIX$v5LGVcF`@I-FAXC6*$gR6@li(gSPrN14o6o*nt@8o3xqd9?%OCemd~sMJo1F zYz9=0?w40bKt&eRXuT*dz`{#2gDG;LAvY@mI;ViTB?7SaIxOox@~N9RdJDE_*9Z)N zsA&wQz1C5fi<+@UyM`f%qNY(uYpsKjYg(a4zvu!x5&$UfN;1h=v0h|*6nV(;rGYMd zGhU!s0XdxqcWOg{cYoodovBzxM#!DEFtpHi=7UNYKu_bH70D|z#R7N77kGy zFluGPk%@=UJYQE>lt4)(lY-o`Dbh-}6h@@vN5&Sy*kX*2${a8()5pG=6Ul=C!AY~t zdd*}r0ySD28lwkb7>9^C8dj(gmB_2H?c#HW@5?d$dXwTpnIin5gHxK8r1U*R=_I%73uBOE z1_CxPS!Ikrj~qvnA9-IO(hFXNl@DC69sXd_k=4phRSYB^(6Jq#93;nw7BWzI@hQ8p z>*<$ki2I6;)ygcVxT55Qb0-tRb)XeEdsqo;P&F@D#e+co538lf3?Nj@l!e-gBhzs$ z9!J0^S17CfhN@N}2D?9^KCNFLSu%A3eWt$SeYv!1(Xt-|hT{?P0F$w2n8S?@3##1P zcfQH%l$wTzTU*FFXewHeEeKs9vu}V|xFgZ`FE9}lq71Xj3Vc$20GX=s(|VqH9mt_# zAjheWhZwd__SlspOAxZ!Bcas}DrZd{)9%&Mn$kp@Nc5*}-1yL3|T{P{dv z+`lVo!rjy8zV|e`_dSjFy{A#fd%F8aAF#UCcC1}5MUsSH#aSnwzRlo-rq>9=)AjHP z1Kpx55ok+s(4N}ADdJ7~$v;w2sz^quLz^heML`iv(phn)yhBIEr?8s~S_8QIdF5cO z0~a=_pJ*bR48LU`h=<>*Azd|AF`Wn=#6hk^emAJorPP^!rW)}#Lo)9Dz?c=R zpo|@=5)arX(CG=D#4nSFN;JZ&HiK_8Js)n~EBGvRDM;iwYK8Eq= z&w3blb7odYT(@tzpspZM_L?G9iH6hz3TVeRZqv(rEX2y$I3M3`SP!o!zny|duuS@J zk=dwWCcx99Y0>>k>40(SU(;2VGMI+1D@0umU#zu?&lDc29h)86EOkRWN#Jv)Jcd_o z>p@d1Q~S?xBX5XIv-4z4E|(sdr_2oBOtPxN)(NA~BL%GWBsn`gCQ6?#pS*yL{Vjg= zh(;oM5sPAS#X4B<&BaBsoWC{nzguXdOh%(~W`%GUVw4*04K}gOTZL9W=O5!O2E#G) z>zd?S@cKEUesG*d2h4QDljuZIptVP}*_^s!o~qX2S**iHq(=2Bm^qVY^X9K}M~{x{ z9nFqoH-=zVzA{9le?tE6$*y zR;w;`dL~zq#Cs)igN;;Tl&jagmdduetu`4V*Dd60ny1hx#T#YVh{?@H^xx6h zXn>Z0Jw{zw`WnZz6r&Gps%8GJ!~U8Yi4K>IzW7Kl=)Xs&7x2HwhsT_QV8R!DA>9ha z+)6YBGrj>Fp}o1(V)Uj6eTGe>KRP=;rr6PEd9^8|HgTPCH7Ld&k|*Obox?^2KY0#6 zfkPgDlS~UZCrz7Zhg_1gh*kG#xwtjY=-HO+6@AZOE~4$}g?m=FRh3q}BlT7({b9g) z81T(es%er!*C(eO>hflt2KqW(ZnH)5)cgRUop~ug5}yIKBdH@TC-W2s16zGMA++`a ztm&jjQ+~$0HC4V`FF00Le>S}pUwUKYFQ_&aW|}BqMrV&s2C_{`Y3(#!o9NRj!S56G z3zOAA-Qo%CfTTR8`o}|1b)9W*QZrjrNH_2vfssG9OCVoeE~xU5m-B|TVqugQk7$(m zk0IDj!D{Z~oWR3`F|)kv;J^b@BDemE$I8!}Mjnin#z%vOnWEbSe^E`Shk--Gt4wgh zwg^6)*g2S(s@mawC4-DT@e2z>-@i8K-L+0VaU9F$b@5;{O8RG~10*ZCPIv}YKkuEGjuxYJVWnNYZNmG zG&dBj1jn*B~M|;y@GxCXDnItJ_?VH4wE-qXnJ%Z(sF<8L-D%}zRp5M z6-&P)vW?e=VmS`WxXB${wl3bZF%o$;I&qGVXd~NJa=w{!NI^MHO>SY+a*%fx83ePb4;3&wy}q4>MZjKn-T!i^MBKMzQEP!?p#v zj%{T|M#+y8`k%8$Fm*>3F0vunaV8V947P^sz)TsZDD-IMSxt})fdad7ysW^2BQ(8m zItMB!l9bSSaFe+-BONk4@$SECaqxYwUJ%T_M?XBgNM7Ulc{xER{dqpyjqKfSnD+vF zMDX#WAtd>VLPt#2fol+r19L32pnY9X&ZGaJ&=+rr=KYm!dPwS?Z)zz$Q8yu5id17< zhMDUKIAT|&@amhSw|UX8(+Rl1x8D121^>b+(9~GtY(n}L`1?&)v9Tj$Y==z+i^^=$ zn*dlqr@!7+eE7R&7|gWoQlfK?N5Mwu3F})U^R! zjgCA*ls44u@u@@Ib_!S8+hd|8X$bcRum^jCX8u+%0&lQ^FUp*Flrd-E(_pFaAbxkS z14D=MZbz0TtE$4lwZO90ImX&b1svj3ES4_RtGHs(nVXc0G_e%pWDu=0+riz?jVC?= z60(!kQhV0U3@`U^MwMv1B@0I(oW%8N4oxMVCaY8vb2E1gnA)@3X)qhH0rLmI=3p(vXU`TX@4p54^+#4;>XhLJ2uV{bOKG;nYVPCWnyi-;_ySapVW zBIei(sw<7$Rh2Ikb-rzaKknMdxGYw0vsxqkao0v@O*O%yr41wOfp>TygFFzD5bSHv z-pk$p`GF~mfL3CrreUnXe}D7U6S8rFV~(+(?k!iW(#jGwa8SF;$s{`)Gys(^P%+P0 zl87V9^Pc;sA=LE=P^uaO3YmGB1tl&hRc2=6pGX%%P?5| zoRQY#0sYsYSyjR{+?Q(k;lNm}vSrRW7=wbeBge0X<|`R{#nHS}dD1DeqkIQL6?kEAx7C(*g#Ya?;B)r5p}fO|KEOc8AYSU{h^H!E})iR6iy>64$+k6)@E+j>hHbE|(B zyjgh;4>-978|-S25qwU+`UU>#{$0Z^e1-6;Rk}ydpWu&P;E(R#F>DOb@D+k_%1yQ0 zZsvOo;1}k{ugs6{Kaj~hMVZ1qdVk8lxPO;dC9Rh-eUnzHiQ0DS`w#f1Uz(rZe-LwU zD&RhFXW4G6WxCG-_{{zGYx?c|hf(GE671(n`0hFm;5Gj0CH?CDU9U5Wh+fk>e2o8_ zp3L(-M)8Up_ysipKYfRXkuAW`g!6K`*NgZW{p>aU?Eak>n+=?9YXoub(f1edtLOZy z`*-bZil$7rVe#aHfIMb&24X|1_ImhDVl)PG=6L+>d3$$%rzTP<>dIF!4ILfol)OG6 zQFDTQw4*5u!p(#7L=h}_uO>TSMRapk zaX?lWhrsos{ja-m>g_DnGPWTGaO5H8Y^1f4OqoEIxmc4y*|$Q9I z>A`xzb8f`r>9Yx;b+xd;rWs6MDfbza&@ft2MV4R-WTF*P6p)c?IWVuaFcO42!htm4 z9OzRNJFN<^ZP2;wxeztH;7+Pt>M~2*D`pf9MDhd6OU0Lak>H3?9Hiy#5T^N*kSWZ~ zAQ~p-{!GN!#&X~!nh17v_sG7$%b$Wpul)JF#x|-%TEL9TAF4|)=tyvFZ%n%Yy+#)o zN5hNbkIR)+Pa9R_VinddX~R2y#V=)~4STQG`6e4zS3Ro8UldcM zr7vQHDXVTQ3w*1vHmX>j$X0AqYe7iNFAjpkDP0!ei7sJdzp{C8MrkOK=?#-n3VOpN z`EXPrpP4(?nn2`O-sV+zPyiAhQSg$QbJpKHu$nwGF|cf9E0VE+E)}SEf7ES%1TPZ{ zuu(aii+sE4lXKa2^ohz>VHo#0#-3QN{8L5`!@qloL)&n{?c!D;onRdDx{)6bhP+5q zId8syH1PFFZOMvzJK*|3$0DTW`XfucB+3tWeyIRG^ch)3viSN7x9ige*HS> z6D9Y7;p09qstBzt=kTk+furz-e+&+4dWq5ZUW>iWqQVO51+}XOvkBPvcCy*U!gcq@ z9A;IxXp&CU<=pBt9bKHClAa8lOvx9k2K%B^{M1p)@@FNUey_^>I{|JhPW`5QF*X_z z`l5gs1?y~_?ko|(w+8LQfb*6(+Od=~FDKhvgUAI`o=Rbf8sxfA#aOX+g-@39N`{J? z))O+3RQAZBvz|yvT-)Z7MY`V6GU`<6M&TFST1`~cwN8J#aAQmBrjR3S0hzSOnkvd& z+{XBDa-zK;YTs&$_2g7F*qSrpEZz`bzNyRO6{WEGmzhZ&i;rd3n8<$OrA`CkpXr!L z2>mI~$k;`2ej`;qUicRIv-m61=Cs)2QBqB|Vmus>7J=Awyc6TrY<6Y*cQ58|DXf6r zCgTZ=PK1zVpZqeNWJax)_^9(`78QqiEIZhPWxhbMK>j1X4Vt}=U}$nBZT1MsAgHU# z&|snHwh~S`!M8y~Ovbv%2L(`vpHgMOlZPK8fx|?9&EGu5Rq@4cjp1x>h2e-2 z#eOeK@S+Ikp5b7sy(pVo6dhamuZoo+j$~Y%3NeWiw@MN3TJ&{o;!kp_b#nWv&@a&; z__%G^)aZsEpBz6vIe&0+cy8DeV|Kmed9-*29u1{p>?&Dr@yg4duS;xG(=FP>MW9XG zZsq-_0W!(kX<`wa)S!cEDVAMx@0T52#*jz5K}Q`HZ*-ICS_|I9bfU7v7IJ5&0@+B& z%x%FX!F*06PSFXN)Ku`fDT^xuA+^XPvODVNq*RqpN3cn5c&xzLPOYpu2HPdOb)5XG zY=d+&>k`Wb0;y{=%>kLSTVtHphv)M3YdC2Z;CMFOy1O9h|2}SqKix-iy$x@+$A(AD zQcfA*0IoqzUtd>EcEoYXM@K7NQJIbr+C5Ari+q`W*I_^0N1A>A{m_}y6xZ-5Gnuz-grvY8-woS0zaMb%k$RqO zd?!M-VlSQ=jB2qgaASz$+Q4zr?3+h>>{Ch`L28NCd; zRuvB4%x^bNhS?S;{NBkB{=dy{e$Qe`X}?-z>6AI;Gb$9K4{_>hAEGAILVwEGr;X=8 z!*+})R5vib8>6ezxT5X#l{dk=R`2ph)y*5YS9(=Gm)NTKn1%y3Bo2P@qu1a3JXDv` zt9+a}<_I%H#~oqklSsx!N5AQKDNW z3OQ&P_2DrK?~M-de~)SWcmE}!QMe>qbD4R89upESNr%jqQBz%QhoFxWo4Gg%>o@nv zywvk0t9QwlZ0?mVSzFo&;r>h39+8BDy0(cJ1Snra8-dG2m3KWjJ^Ep9(1mK^?urV$ zU>90}A;Es9{9%KGupG89NPQYwFqkP>p#qdeD-3LtC;i)EYrtR97&}F)H`^JlMN`iO z2PE@@kEJdJcY1Ryz=A8&B@!!5xCFH-gjr$459iY@%l(Co(6F!5(l}TikeaAv)OfKt z>+pP=jNyzx|0|adxM)XV3f-_Kaw9kkEHs`kh-QV0XC;M&zbyp0}mU6PE2}la0`s;6LASM3o*6(udoB!#6>h6KMRynGZDv>5TIMyPEuQKl`qvS zeQy4E*C&_1NxABeN9zA2|HiS?kxMM@D+Z5~rL)fXEm8L(+u~L~Qv26CkG8;vi14~) zV*Uu|&r{1rX01!+DoR&IuM7q&n!a~GAp83bSezBK5Q{3N$@Psl2I*A`*r8%C438R*u~^5dw8;wj&o%IzzhK&AZ%| z1&r^$De0}_jl~-7bng5WS_mHRMrUGbS@bq;IxDlB(p|IZ_|?M z_Fb)9s50417qSn^W@p7%7paJIQ#N*S(tJ~mc~DM%T2YARnz;yx2Zt|RqK~R)ZsVl5 z7&hRKq=<%jdN7*bFlr$$yRWAnJV|x0JX>X( z4ZK!E*r!)1nA^R9CkKF0DrB)jtv#t44&$J{AHR< z=@l046t*kf@TDcAV%mc4K}kx8S4PNU8u;d~JNV@u66bGs6dlCX%L>U{4ctWSvyc8@ zO_ZcvanCD@eaG5g|DJBr+x>2+p&+=Xp7LIAs0#?AwQ3iWlK0mK+>MoZ*UH^TiSWQ) zoHF0Q>T^d(?|#*3PaEg6WOSr{6@_R8iBNphSY$!& zu1$aXzlchM>cP2uo?jwl0}a9f7-b~IGvG%(;YlxaR5?P&?RvGrbACV?Xre;ma*>HD zxBfhYo4w*IUeZqgxg+aTRe*DJuTVz{%P9^Ju29bMlxbhxf#OoP=GIz~0_p)$b?8PO zgH8wd0b^QCi{JVbG*W6`hA5 zf8xxLD4Ta6ywMa}U}lUT!8?lx2cn-%`fy}o<;V>F_aIqi*XcA(2Ih8=p=4W;29Ge9 zOtT4T883(q!`w?1-gy08@?WHeo9^&36N?Mo<_f7-;3%B2mh;;WHC1PnG`Rz7=f~M% zhHe$7+|A~*^U!Dl?2t}^Vj}bg(16^F-Df4bB z^8F!&U8SD37A4kaO*EEm`0O30*DyI%#elm+QaqE&IS)vDI76qyZ1OEyDIBbkTo{@9 z(`nvKH^t`&-N^(>@1fh80_({TPCAP6%Sm!{x`(Jq&6S{Khkk-d==lby2P}-BVUqrG z`M7E{8=LSmdJp>94t$_*INDo(1Mdw{*4`FZ1sFH!LBb#52KygSR&SBfQnAc}6aX+m zLUz@%l4FTwN@BsuI3p0KQL`|H((_M-r`EZH->3(?m>(sjq}rIZDd@aRwdL7c;bxOi|h zqWicTw2G{1k8Q|eN7`evLICW{5n&!y{A`socVa-b$ zchu8Vl(%TWwvkliM+C>14`Te7=@nCVd#fuV7o^HTlcrr`%L^ko*eS(Oef^&8F*G z_~?U#K~w*=ir+P5?0kR$-;sMsq%kWCU;&S7l(7p-AQxeIr-$i>owfn0k0c!CF1i(3 zB5bLI!(rfN#9R61Dt^hC(_4r>Nv4?~(HMfbYj^B5S{!`|&qZ>RqdNfM< zM;FY=NPkJcMvC|1bjWIL+%4=AfB0cD#eGDM=zGx@+Rmmt*sM{tzlf-jM2y#kBpm4G^25FtH(gvLd{p#edGf?@acQfl@f8RrC55NJ8!g> z@v_(e?ax~VXOuT$zn7KJcgkleB|%7(B~aSRv^~QDwbBm-2;qF@cxf%!ZkXMBl(W9Sq3BW4;$e5i}DBxyc~nl}G*ZX28L5 zRwzV-8Gbw+n2`A;0*t_h8@vZ)J@^ivPdP#PMzyOoE9^}WDwG;8E!_Lx!1YBbngN$t zC6)Qn4gc~oU&Juy6dr0^OdopQkA_hKR5kJfu=EJ-D;}1F& zPe<#q0*vzxbb7ko7!bH;efO#QVBkX3WT7{KO2{s@%TCpsZ)!k$vZJ`RpkX(&NMEc8 zJi=Et+e{uvp(t5^O+E3qjF6j(?(6;gYD&BZ^&Db?hh_p7a%{@mIHct-a+DEXI80Sd zTd5aF5(AgV6tne~)k8eWFXnlXe7O_(!Z2MY1!9*X@>}I&j-Ostrk_Y1aXi?{uPnI= zL4MAbwqk;?T*0-R9f0@LM4f5omO0CjJj-z-f_*BbbgF-E!f2!lVaaemaPd|OGB3E; z+z$RKsotFMjz*$0LSFC9IIVSmpl~dm{wgMZ-X7C_+ zq3nFH8_9`-ClUxv^nSBFIyyTUoojw@lR2Wn!J-?T^YG+c0ec#@pBYx1(;U;VpYtcS zAQ3Zg1+uu}<+uZC>vGxrr0)JrHf?iUsS|?&pOto#Hs5Ie8?F+S(`%DC32J+>2~e11 zO14_z29PDER_$Sem(UA!{XUSygqUo_JkCmvx;wk#(2G)?4!{a`uu zjRc@1J7tt~HhI_CA~~}S8c$q{WN~1QN>z=4WNcF@I`-6)rD;o10`CU;85B2oP85@u ziThLzNWRag)ld@Jt2eNcqpH-QdO*Ai>EI}TqZi*0vO3eOXU`_m-*2HzOfR&IuW(|5e+W8YX zi-;Qpzf$7f#shLP>j!l%sRbhG3EHN9O%KG$UfFybUsEsN>m8jvzCiH9u{-%?#7Acb z{Ie>#z`S#@oz3AoBPfsUF;0X}{%81a8;%QQ>Nx_~OyfUvAWEfUaGE$yeGD&15Xz86 zXW3On7H_fkL)iQc`59<6f;ozFVUK?jMz^V#vWbiH zO2M5yNSeo-w}N4cXrjEk*axhpqmS-|Xuc1K`Sra;lHkz(<%3@({l7l2N~4$}VUEWB znF+Nco!x*lCKfd;ad`6`PR3ui8I|`Uj8p?h-v^d3N7w7uYf0Y!|n1u%1wE{_Y=GPJAaz$~^c!oQXrJ?IA`pI?~CQ z3feRlhO*iq2Qs{rWjNhtc6^v%)$*g04w$p5k-A9DytC+krX$T(0V?VDZusoG$tk(f zlQRLj`0 zRe1cfJGcbBfHM7BS1UCZTJfslfX8i1CPgK0jNZ&yO~fFsP_4nhd|Qf^%sxkx6Jg3! zL$neHQ)u3kTJCO2sXHE&N}(XJul?I`{q7hy6|u(#9-@Fl{A%z7>UDW`N7?~^T!Nci z=8S}?U90UC=9kM+?J$2sLZ=B^c$HAh^m29C7V{+hIzmD;ZE}BsugZVhFem zN8^tD^M<4&lVWkZ1XrT+Fe&{y{ed+Uzv16~A-|LR@!kN#e|aNmr^_6jF`9&%qFhXI zD!g>O*LxM~o()xx*V63MpML(@Oz}6=`fF(Ysczjb5TUXUmDUXsq@#=TBit{~U1D#s zL^TgE+E?!~&d*dkG{#ReF!13$+H-hkr#QSb+5zrX5-6C6v4{iwq8`De3+$5$fjhg; zTBd2N>6LIGx{1VbQxsP$+qZL_W0>$EN79-jy(T&)-Qg*RSgeEOH7Buy%@PcgON=w) zL{3r7_8|Fon`KB1vC^7p&Il;^r1cyNH*?ydVEl$+u6CJij$kYQl$uj;0TP3uQrV~w z%??(`-JF7Ak-luAyo=-s3~S)%W|At{2&wF&hKCBy4ishzmQP~gMagYnrDmr@9b1A4K zn%Fln>Oga>HK*?$(y;4>v=oIm9_@M#>)?itum;c6`_zNEJXwslI01_c)4;Sm z+hzNDc140)MfP~GD>2XN8S(8q<-Ty|PN`q|JgN|zRNJux2aq+qWFC8AX=I>t%$|YQ z0=BI5D(RQmaI)P<#KzL#;8!|2_E|ogBOH%{3^w!}0t#uc9TWyeDwIN-uHl5XjY#xF z$4laTdwSXTsKK7zVEL25?pRAIh(r-;#Xn6*Dqs2V?@6&nIBr!erh^D!R4_tVN#Fi} zSnX>ym+n-?ln^3@eaN;UFEID>DW)6eM8uCVROWGhy?__fynFKaU_~9)pck@>)QBie zY7c*86wP@&L&rrE&8Un@%r$Z%NFXh}LpZ%p@Z&?moE{`6^2!gmobzD{&j)G$T{*2C z^XNWf9{t&l`RG1lKH6{0DUK~2S7dt7Xh(XqBXOs9j`jFHV?Ew)tlu8v&=hKysX&iO zAa^F3r*dsl$M>0MG@RtpaY>zLG)qmFmHa5bT=3aVnaZ6cQ3`#ky%kA{JmOGu<3q4$G0s~ zeCMfJ_!V&Vs^p)<;}%9ff#3QJ7nei0nTF~ z6=B8|&=`^Q0+hE=8w7qL9-hE%h=aG}OZP#+*G|M*QQ5p1F7(piS3cu0b^;6O+0qyp zuq*{QA1SBWt5`}sj4)cJEaxuXoXgdf=&K@ zX_k)}5N!AyQBP_;nz4A~x2j*OwIZsUi>bFpjX-^)@cmC*0J8@D(?1NAj2Eh2+V;dB zH}(}YGA@hN+pN|If84bZ4=xy%Vwtgv&IaDkfeeyi8Qj;vKIwWFcQ1dZ-4edRsUton zIMfB3_$puIYp`7~b27_P&j4))EsR|wYum^$k(b7BjjQVMUbNdGS{C$+o*e=QJNxpm zO$;09_H$A0V}QQ3Gu2BrXd4`5GtDO1eT1Lup9RDGi5IKwk?YO;Z#@Hfrg?`&Dz1+{ zg}7=aukha9q;9NILx8_V=$t;{pf%#n?7hIBy}+N@vG!^euhBaaN7Up{Hu-`I(d-Y$ zV>c2HGLG;@Ld>zE=u4kR4!uHJLEtRXUPa4B|8lrpo5#weGq{Htbf5;8W3d#@uDrwS zZrrDL@2B_dUP40m=w1Kvo}HtA3P;<$W?ujFKHcB_-H*cKt&2{!r|Z@RSm)yDRvX?w zjilPzsNPNHSymd}2c&qN?y{E0X@!hR3-Vto2fH)7s{g$U&v#L*vw8`s6P`oX22VA=Q&h4*n%XFDfBR!aJ-o1}0Vy(#vsflv)S4g3S zN6N-fZ|^kG!0cWW!Z)U@#}1VNh~_R)QEO=|Bzu2c6ToF{+cAbun4icFzr*d`{l{dK z!hw^ogagc$JgoByD?RE-doo7AzX0&f?1lGJDo4lV8PdcCJ` z58~WK8FJ`rrpQ~PEss)>X0fR*ngXjgWsdpepml|-#|s!}Uu)H;sAcSkpPgSNRG?eo z!|(q{@CD?uVU9Rwyh;o_A$?%!wYmK3*Jv=N(+NpkdXdB+XYH`1V8$F_rg~&ZbHMnx z&a)eit)Z46$_v-i?a-H8)~+Da$h^lbTgk}DBCTTDL{y`6>GMWW=!JRn8XlaZ;X5ov{az;HAv8snPeJXtBC{N{T zBuSf!DbGY!mNb`esK=&6D^|G@h((z~PQxrf^JVE)Y{i2q8NrIu6)qZfnLd};oAr3; z_cs3X%v_sXrV|vLxeXdy-)1*Ci-YZG>J?wv)DUGoIyCcw02i*2yT3vfOc-*Z066Xg z_+LhV>2UbxuzTCH=94XMIfS`*jYSzx+1%Q}Kj$2HQP*rBn6c7HVA>fR4z|=#KhHHC zo`>xXcH#!twoe|dI2JFKiBPMGyTZql;yIHmnP}s2(p$s(*-QHA^crK;2$1L%+YRO< z7C9Vgcz1@`IeC~gB_xl_PGevb`uiEe32cNNh9GvdH--kOLGGOP1{x3yVpXh$rej)_ z@D&eg5VGLWapb9F6b$&8(Q8DT`=({29a5@>{O^MTe<#~7oCQLQnma}>CDn*+W z4k|bU1CDl!SoDNfhP9CO8w}js#?#}Cac<{3u8h-VI%Y;OTiYo#V1^mYV6=&#w$?0v z>=OYKUjey`tBKZ^y4;-RD>|{sEX%NnKgqt`B0^hm(_TcFQ;Y`EM*Z}Y#W)$%Mj_u~ z11zuGUyL1%S?%(4l1{TFhOp4;amEggnSypf+58CHl&qRBnNj!%mN^E@MbN-~ne<__ zQj(fYE7(Ifj<^c>(`y46!zFVjzJni`%K{S5fOEsMKP=`E*&erLP8S~}o9~?L-gRCe z@xABuyH!EK`-YlWhwAt3XyiP}LrXdo6T>Hu+vA*qS$E%l6cRufLsKFllQm}13(8+j*MVyH{53_p^c+NFlJLs#Yim@y4n^kkzjyswtN>z*@mp#V>}kv7xS?!_fm9zXpUndVGBRfOspDCwdk3rmIS4)28{9k^z*f1 z6y>3JCC?5TR!TdU`BW3;-W*}%3GvqOU+ivhAL`He`uN;S{=BRsxlB+ZFA)XlpjDh9 zBC1QU!!eeDQ5wwd1UrEIGFrx{TdwcELQr7ZkIELhZ!sD&VV}T&9Zk#Lcz$S@&=91J zNb$qNGdfsTt1at28&y)dj!y9K9>>`R_P-T3f(s0rN%~k{Vwsdtb15;-Nj5E3NC)zCyKW-M zq^6Fd>W4-GHP#nhkS^o8j!LW6ver2K5A%%(H3Ph7;{pp#Q9nWm)?rUuWbg!h2`3-s z`~;4>k9%HN^rR8^%kq#Szm9ENb0QcD(wlgvK2JCNqQhWzc8<~1eL9y1@IHFKd-P$4 z@Lglp%@*tV^-_ac43FCk19-7&#a;Bq1mnY({?Y?_KT7&wkb?Vbh}RiL{u z9>v&n$FUdiELg%~0sA*l4>D(`;{QTVls;sxVszRaEm$*eyk-LH%Vp?co9hNTR%kDQW@uxw(Z1L*{uOCRPLt85ZzwrD-YJke>>(P%W-3FqeD%iV| z{%84pO0$1JypWp-}ZLV0v1U@4^(Pl!;hC6vf$=q=Ui?g4U zPUvx!-B2gWA)a82X^IG0uG@L|yd# zF^48wyyaxO@zC{WC()J&lm6mSFC$YdK1f_u($ zvWC04T4neUkq@7I%4C`h6u|=-w`RZay59q-lw`?y@MZ;KTF% zZ^FhSe5d>u&C0{>!h{egZZp|T;Wo-C>{O#iXGbSBNmHC4`}Tz8wkoe^f;+u$hR$9P$jUTt6$`38pa+-PEbgRIJ|as`Lj zbNox>L#!Ez(Xze5O)`=;)R&W6B^tMwvEGAiT}7M65R0k6i9NwOdoTgOH#tar6%c$s z4!jtu<8SnX^Kl_0ErLX5S69kL)VH>2djF99l#+~2@hDi=0VS(n#_Cg&?w}4jR=UQf z%wG?7ouhCx7mgD(7>gZX1hl>dOL`#Ou$o?u42wgMY2swi+mrKgM@)Q|uu(WdRo+My zVpwBY)HWrYt0S7MyWjojUG>zT=d(0<@ynel3wGyaW^s`iow)$QPbUu56qDDZ8D9q!=2g8v8i|Epj1G^-toI@z3!dQvo$Dmvcqp~|Ip zkn_~k;rq&jZG#PifqFhrdca_pQLlCXNi=&gj81WAAw&;$I7C8-dR=6&oo4ak5qxxU z(Kd?GCJj;c94d?Hc9OMrV6KUDV7_YZfD8KCnzto? zVdMP8uCYsH8`WynUWnQioL74J@JYRt!?FyR!mr$j$H0R6HKiL+I#@X_njOt&CFOXL zT;7Q@%`7s+yzmS4wr~K=GMjOZ5O*Ea0$C${Z9ZEyZETipWQ*Q0)~;OQ2`#_PaoKu% zUnJhBBU^gQzU__A-eu=Qjm?KVWl>|u9%N2N!Frt;>V=mYI0b!I=2?+DIR|15B? zR@};)Vd2{*A{P)+2;bcwpaOYwud90&mCKxIi+kci=Zmj<}$&4c#vjT!Se(2 zC(jls;)FKa$-KBmzO`%w2kI(?CtLDRrsnhZA@O$N?k=$H_?$AvT?0wDJFr?TISk&@ z*#k#EY1_kp&xm!?8c@G{_$y-~(Gf>3{hF$*5F-4aeb`MwN|Rx>;)~v^bX3x3u#AWv znT=X&9ECOf??DdA`J20L_PuIBeIGaLu~&LXvQXivQQ*lJaq39dPE9l_Xcp^5)*A5X zqVEKY_g`lcSz9++cMF+!ZjyE5n@eHa&MGjL7(n0}4xC4GRbwF7HWLNuN#@Okt|UnN z9*3{PzA;fPb!(0hA-D}@MKJRLroH+Rqb5ttnYKj&dECLN=fB%)Fwa6x;3Kso$~deUCd9 zUS;rN!KtvoFTdW$0F&_|qtEn&LCH;$2|mB!(SZ<`J3>SF;X(jO+&b}-f4j}eCPGPe z{J!JU-(_&@2=*>@EI@6WA;LFYRso#DOn(Ew_dVGY?==ow+wSlFrw?_RIn#n8cGf_0 zO+`b$bWkhv#89i6&)%2g#Qd zjh0xQFw)qK*Myue9z41@WwMTN3nzve^MlZ3dwe*0aCU;ByW}%Tk@tqsj$v{EkGwSf z^KhaEg6YfN*iplc9qoT(r^grfys`7cX7Ifp@i=2g^ixF*Pp7A4RS_CestNeEc2`!L zU0$B5eW--EX}w)8hktx{_~7VbwEGtB{-cisM!)f;dDMm{YjeD(-7#cvV~7;D6*ilr9w z6qx~a0S)Z4u=MbM%VJtmd}%t{W^a3gR&7z8d9nO)I#`Do5|h3nKGk_~W2e{h0Vu|7 zA0X#hRH5;)DT^zl+@KH`rM7QldN4#P#L{$Ypu*!LJV*d22X&+(>Z@F=mxQAV-;?vJ{uIYFN(kw4w;;Ht$ngg<(d zE>nbl!jpglpQaPjD%Bi=QTf}9po;F4vh|t^O3aVmQn-}sII3XG7r|zuzJQ%F;a^gu86IFby=~pVjTOXd1gm~kHQ$@xgKgQ|X1WlLglm)s znNdmNhCKou0r{6};H0@NXtQq;r9-UCl={rh0ARSDk+?xYc!WVFs2FiK}bSQzKSv;O&zN-h!{QB9r0 z_07h#z_%0|0LOk^9cC~Pc*p*ElF_{e%V)w&;7`#>EbFoWi|uTPVjx&?OkrjIiJ^j4 z4=`PAVVT0_hUN0BDPN%-*}!MT?_Dx0hduBX#&?5}OYk8kSwIYJrK`DrTQ;~@49(!A z{+q9;xH0sSibV$AJ2FJbh56=IGHYupE5T<9?&HwiW@*a7U!>pVOECL{QQ9fTal{QF zK}fG@f5>-`F5oo@=u7ei!r9y!z!Q7eV`rU?*&JP)^g7KK*lI97qv->VF3c*%(~2dz znV-_%6i3UD{?BwpumRX(7dSdcxY=K>XT!`SLNI1R@gI7G8EgkLdflq+a&7$ks~k)w zSokF1&drisAa&Be`i8Xb&gT#L!+~Q$=#>7Z;m~>sTVfM>0Vj@|-C3DWb*We%E66TO ztoMgEfq*U;OirZ+)b z4gALp+wqbo2`4D&&mQ8OFdoZ%gELA*r}*{N(vrYi<{^xZp*djhdzpWCk9))VwW%S0 zHEn+Vnr{Z0d`}~v=Ey7HKcljkT%j?#rJWnr2^dl^fcrclc^F?(i!W@8{6wBnv+wg! z-2F@JBHga*qK70L7XYK3d$=Ldv#BB_uMl~k!T#5)Qy@n2_qvS(_>j?_mNuhIr$#si ze#N3;E6j|0LBeXmpeNWYU{A&h*oDECd9n}IwX=7}LJ&mT;WXUz?NFIGa*mmL=;9WB zHb=IQXm*Ldp5Cs~iqp^w7?W7JF2yZZla3~G8G!|J1QJ9#*)TC%sef|2G zkfJR+b%do0}WsBpn8N2CSheq9v z(}hm{PV>u4cv?Jb3$*Ml zAi1*M(Rd5~E3v1eLCH3mGc|iv-O#k2lIy!3z3}=D+`jC5tUFI?D4{}XPjS*{LvT5l zh0-^nO4$`OPQphf_xjjKSorlR7iVXjJ*Mq#h^a?kx?*&3LL{XZr$;@HosrS?(^%|Z z&AztKr?oB8t|A@Pi3+&9Hat95o+SXfxjuVUOylK17`|CtC2*ij7REA!!X2B3A?Yhh zK#9X3?gSl*EbDq1J_UO)-f*eBz{%%ZlJ($RDw0$1=Myji3nos(chc0wp;2FKH|y<2 z-~#YtAqbbZsorx>ToC!;19+$K1tiX2o%b=>od<*8yZgiL^o2xNxVb5Yi)=O{MybH1 zwjoE$z-riJW`=Ry6a|}gzeH*%n8;-cuM!Gb_%{5YnUv60Y7+8*=m(9<61;l`9W97w zJRDufz81cvnV`Y{%Km+{2k~OVEIDVs%HgKd64Sdy(&PSmF|I?e7L}g^2Mf$5Pj_)s zFco9Bn|5vL`!s(a#aIu$VaT0+|Kqs(6RK>%F!-AJz+mxs)oO?Uy%xM7oPBt%viFTk zJ+ldOqu(=}64Yo)d$W5T#7Da=4Iy3L_mqiqu?q^=otAxM1o@33qyymB}`at*F@=xPXF3e8rdPCU!ymPYdixM z61ubCnDmk*b*$Yis0RzDG;I5g4@=VFXzrWod0KOv?AP%Fg74mXAACAegiXmiHH`pP zRbkJK6d54l;6n#z3h&IV+QsQHRry(x%!Rj!S(P}=(!I2Zq75Pf${s6<9+jVW7 zMsHDCnwIc(+CKEM_2%!;2tn!kvITLH)tAlPCD(?wEAi|nq2wLprktb|qOu>KD!(r8uQIe&+QZGwU%~wz+aK_{O7{1zkM z@PFT?3u9_;p$mF7!4zC^t`be+1(w=+aW5JRkCMncpQ9fjgOdg6O6z={09DhCb0di* z3;${x9uLOWI(z~a1?Do<$2L>Q66dB-1cv388?M7xvGIxzBuMeS+Kw0IoYHY7dIEh9 zyk~G<@EQ9@PlE%>>|D4Bsb=8)on@;s6IA{Z<$e-rM)A{K=J0}NoAMSP+42@im+T*rcM}w zbEI8CZ1mF*$Tzv2;3gdtgL&E{87IGS^SFkA;0&e)j}$Pjz6?9muz1s2fQ#?ImeO^y z?>^var0hCdP*}L{Q$(v`c&j&Bs?9GxCs8j@NPv9?O_^jAGNejstVC}zWlT+}+l_kx^*VREMN{pRyw zm47E4*9gTtpefq`p1gAN>Dgd{n_41AKjJCrx)Qf6*_Y$}} zTbFfCLSpiLWQpq#ITrZIzJLh@*|0F)mdcSEE`@ZeRF3Lz`d*915w%5kJGyX%h^h-) ztET{WrQts_^po63L#<{u^e>AofSNKUEYs}@-e2S!GjSkIcG-BwQs(-mSos5mcSn@O zzRXOPQ({F9CV`8DFI1r#{F8R{U)FYXRXb%RLcv57Ta%>6@eFi4O||q@kd3pa3HXmh zo;MPG_}+GPwJL5_CVGmzPVxC}s*j`J+?of7!`xjSH_se@kgjwr9lsC7P;i-8S6I(P zr!yhlZi?B$k-=4q4AyzIyJNZV9lE~B77HvoU5?Xonp?yy#*lV*k5|1z-|*gMn1G|T z^`zBWka}m?q`NUWP&U>>o={K~(MO>`pX>mh)90^K-@nF9C#*hRXH>*1Ta?i`=7!bA zu}1J~j?sQD>}{mKFi1cI?;-eaZqBsTl~1)wEEXaKF{)!ZfsC&VMdA9`_! zd(Ii`qE%CsJ$`2uTw5k@$4%V*-xNymx8ev~i?%tl6Ys2$6&OHK?kdC&JqTmSDO+t< zwaObfec+BTLA9M_7WHiBZl8Gzf}XfjKZH$jlM4sVm%Q1B)D2nAID9(rG$01uBoADM z;XSPy>;uOT5b6G29ch`DGd?c!+i?Y`WV>TR}a~x=NUazJekO+$^lx5nm zB?+^l^}z16RK3`emDA+M$@wAt&)GTt&namno7-Cwpk9giv|uDDF~ap$43u=V(UoCl zYM>X9TXD4J@`>2|7%hZpWt*Q{#Q-~;kCF@2bxV8}4T)$#>=sJt^Y1DcPW_D!F$t6{ zfcAV;#T=u>+YLCxj3gPO)DXfdQ*_So22siRIw!RF-QVJ+DH@NQ?a(riR{hZ#)}hxd z{29JXq(|{^i)y`z(YFF05-+JM;uscsR_2=*3p%(N1I3!ZhWI($09`fOE%Qb+ixHZ- zF|QBjJ#t2lk~q_BSxhh>HR)+R5m80NetsoJzxskCG?b&-L=YtSZc9W)7SkuDg@ELp zH8h8|1Lj-`F;_%QCZp>ig($*1h;<}M`K8*}Ixhnlf%Zv9l9=68QM z&`)etc&S^ooNv?Bx8zj9QMpP6F&jPI%+WrsE18tV4*4igH? z9UtHVT{xzCU(ZX-z&e4n$yGKDR98iEwodosnzwf4I73*Jh{JZ}3phH2SLE7=W{eIk zZi@~@Lnc+5chuQ6bMNG8WzR)$cE`-d3M(2>2`U38ZIuUiFD)CB$)5o|1k8dNV+v>3 zjHv4@j82lvY+P>9Ju*B<3XMf;7Yj8x9ZYI1Xw$1@ZI&}#Ru5~y9!QZFC4?g3TbCc$ z5a9Lh=%Y|fh4|GeUNcWC7s<<4GdBNi%B0hz!*RQ~y(x+*V18LBlZ@6OB1(D#**Og5@3(6X?c1jBBT^7e*@8dzqGF-g*6Nv`0XxwS)>s<^g2Dwu@WxQyyy zMRIKdH8bH@_qHY zLIgvZcbfB;a_#%-8w^;m5IS}JlrMc>Jy-PnCfz3dwYm8H-S={t-Q;gp9dF%S{l5B# zm0NV~{)M^teZFa3-?8`A=eR7c3S?;L^mc!2uYPaqEnlaL9NNh{EjWAid+Gn~(+`C& zR>>#p-hWo2lw1JRJ`l|9STH2ci(n(GCQ}wj(F`dgR@vafcWBNxW}OUqc7>G=+l7!- zZsvK#5wl$=Ta@ao>ZmLFn56*}87tTuee!9Lnu;CzbczXbx~32#817fDWh_5k9NN9V zL|p&q;wbqQd*Wz2BQ7e>BBQ}CBO}u00%5}3P1n8EF{ggHmP$eLU7HP%SH28Cz(j$I z%42<-D{^nLcv=5LLcNy3R0+*F95b^C8|qT2(aM!s3Z`)KQ^!a;I^3I*v`J<{N9bcr zq6+!!vx(N-atTLxhGGZ8P!1idf&~@%re|7t0b;_waYBls!w!rb4-}uDV4(OIW5oEc zvkMFqKeDcc1!cy#X}1I9t?0aip0tJAc94F zE0xG^nH7Pgy&3jXcn_!vZ6eQ4_{?YBtGS2B`@~EH!N3-{1 zX^y>`q4~>Jn=sKfu|0wR0{;i^C9{`*42KtG{;UkCCb;9kr`zB(VV<3|oOugu7cW#7 zFgE)g4GtPIwiyimJ1nTC^gGv8<9@|2t9hGEFA+Kj%Qi1HB8OCYb__2el2e*uPX0MB zs>vdQ`4x+NK!OD3%oOo<%Tg z8gcTU(+)6G7*lQy@y1-u;An4m3UWV-2|OzssL#|M`nQ4s zxfG6z-VF!5QS}U$uoA&N@cQ1V;_@K*!U!09F@RnlR$gzntQOH0IVAEckv}DdKFqto z*9g250J3lovxqp1HLf#n%sBKVaMJKv4BAP)Rx5n$&I@rga?(w7h~n4>p*i zSXTF|rfe>zw}rY}XEf_5Nn_OdiCw}H?N096u{bHmow-~K;`AH1u{y*ivC+WI4Qa(GZ>rDiBnmAwV!-`5*7qDE4CdlwPbKbf&`-gp>mwq<)Djb)@TjZN$scm#gM+s_+Ma zb!OsPh>@dV!YrD0{ixb&^R+AoX_wNvI@X52?i#p^c7FO!ou78<{O(T}S6d{6^VQKM zW#VS*yh8MZN`)HflNF+U<(IocX{Hx6j_vjyZCXhi?5ql_b7#g2z)Vl60?lT-MH^Y( z${rywJ$Tb8k#oANf49{Q?5Dl{*Xrej1p zw8A)Wxq|{nkCh0z@&zjv9pS-Z0f?ToJM%|Ai3?uPmVfD08F85%-f%cEZKeGG;)l(E z-xw1^Gs6h%E^A(N9zxNqk( z{5-(uS}N) zXNW^w&uK4oaKlnLvN&p2{9=X-rfh{wH=77+X#|Fs&b*^k(WUIH`Ji9hge72^9L?V%UtRUcl*aSL%*qDesK$h%y}(2xWGK5#l(&Ve z{=dX7-x4jFpDQqygPC1rYFW}#SI*QNvHXWje+{b?7Y=s&HH(3Jyt*|(DdfN|+zmMZ zB*v6;)@Y-J%Y~RaM43gPI>ZYcBOgijH9q}ofV$+$I}5Sca`F^cI9T5 zCC7bl{nI|eaG<8$tE;jtv_N>F%gx)QfA!g0Q(4Oi@i_kt-xXfNW{rv^=@&d*a`*u0 zXWzQ>e2`XVYtNb4;axRgGBes zUn%zHiqTUfm(IV<3DytSnteiUde82ecvstGdgOckc?$v2jt%;`{ z!!r4&9i!sQ_8C-%6x3J5&1BP1&Mu{8XehQ0S`>}LtW}tSlByJBeqzca(hLX^Qr2FR zm)=)R^%7C;$rK(w3VG?m{0w*I!O)sAGu1pr9Z0OjfN z-dpZ?I0sd4Rh$V!3kGwNFtEofTNGxMtPPmVs0Ya5wPIA6eYH@5qt_HA^3_>AfR7Mj z;491iG`zF|gH&#Qh`mr4yrQhLi&^tCMl+_Z$@3(=oWL-s;&{83f(L@q(k}7ud>GN( z)H1v6BAZ%Y^Pb|FwK}YT81PtEV;vstS3fT)v7my!L3i^WslXPwO$%HMbT@rH&03JR zCZE~Ig8&h)18+2SdmN2WRf`_j=hGCnoFtthbQa4%w&01TFe&AeAt7x16+L2>~99x{&M?l1lzJjOhDZE6;x%*|)pDQX5WL;6?6 z%_{ly!P5sx_3bvDz7wgsjh)8JuBVp>8=YpC2s$aToRK~VDbppw2&QJ7kjH*)h{W}V z##@FY% zmyHwN#NE52eqq9#!5!$%%(>PjBETkM>#4>i93eHbb=>+B%c@O;$b&{kD4XY&sctCk>Muo$j0sY* zWTf*?jV!!juX2qM!$XFQTY0q%?<=am5XlT1*1n>&z6z^GHV&vZfuTm8ZNFn0S!z|X zbkqEz;+KY{Dj3Kjo8^_n1;)knHYllUoe*rdt#=6LELV*-8(V6UAWo z!4C5he)S6r|7r8g1)LFysrro22BxE;t0uV8p?NBLO1UoU32h))@uX#sYM7Swq9E_> zD!XM5t}^NxOT1~l_e9_?5u8krM+p3Q7m80;YdCK$pC^GgS9lXYAGpm{#ciXJ`qFv^0FJjmJPILNROE> z7O+6BwsbPj7VOquf3$z7y|uQYDVnZB=z-&E9>dW^uWOBkig$J^wCKa8Ffe5neGCT< z{J`W*VO%gDr#0-=LnQ(vCIKu3xgx_rHhZWN5h*!;bB5d>JVNs6qzm=^xEnt zs^(DkK@{SeUsCmEJ#5<=*>0|xs2YRTd-mTJ!|qlnQESnKpMw$ss^6Lv?CO$ycQQIW zzc{yHEfb(bD1m5r^ZvC!$n<4R#B`iiU`#qzsHid1BW9!g2HAeN9j$H=awl`)8Mru#Ei5I4pkAw`6REt zW4BwXN;gW7OnyNmBpiC=(=xsBazT2Sl-R`p*p%gW@!~MfQ8-$p+V3fftjD9B-;I~^ z;A8=v$Q@$HM~4&@8C_f$YsfN7JXI)MW|+{tn$Bm^8Y8sFFLR-b;FL0vq}^)OJ-i-O zTYGpdtXQF2r|W`BlB$zg(5Um2JWNt|CSy(igp6SY60DpOplp)(Md05^FZYLKLfCPVggJ$yCS{|$ z|L23|btlmQ4iD589d1*r;u=HS=hobUpZt`Iqwse>O^%0*Z!?-GD!P1tjs7$_5^(~G zG6eaj7y4aQrQZ^~<|il}kgBd%pL^g{=LQyMK^2R2PKKDc^k>-nYpLRWg4-$mq0T>g zMmy4pJolXny*Amr1V0U4Q2386j_;UF^MLnefERG8aGH!VvgAelBl0590$XTD`Z^a~ z5|~xk>XFO5hWC>UBl~r`Ny@MCb)z23BweGNBD|1rl?|6owk3-dsv5an#UM?`450}^ z?TPS|QF9n<>5Z}sWE4{AW?9~&;q|58augWQy|pyj8W<*%Y{f8gcbQtw6V!vpLCPxGpU*B775uUjxFxc12cF@5>_tX^ieb_IW?jxd{`1;FA7sI6AiCh~%u_y=4@>)Hp;n z>YR_GN+IAW!t1dU^v2pM`L?rO|fNB7{Su zkQi{)FJ`D_bAD!w2k>0r_qhPtjVfy#4ewtYRK#PFi}5&gqBBK9w37vj^U^zD?lc&L zNLyWIDc*~(xfofOQ)by!(c_}jWYo8-1h+dXAw9}y2hb1X%k!gejvzLsj#>n z(BgWag*RL9_1rLWx|*87!_x<&Bl!Qh*86Wp$oX7&l~v%hBx6?@#!&vS5!NHJNpdN} zHT8P-@o%kxT&>>dnV$SQ)*@{9riOSqOOzayBUJi;RW{l3X{fHl(K;Ez-JD%@HA1h4 zO(*fe-Ns^6m{9ek6#_fAreiT$`>LinxIET1MX z;idYNbUhvR)5MP6=!f5jFCwt^%faa>t~e$-Qh= z#nnpFzHCqkLnI(y)sO+cHV8LXSOD36Dr4qGf_3S+-oNXypHmJ5|9EFkEETewtnYiji1_1jHEj(F+q%Vh zQGDrFU{JummGl#gMA)%2d_?%Hl27mrEmz4`6wCPJt3j}VjgE$--KPmmpS*bZ>V@t1 z6Il{04Qgb@gQcApIG+C(&-ye;Jqr*Wn4j=15 z&|~%QrRa)d+aQ`^TjQktzd;`C3CL1=Df~juNF| z7kQO!>B-;yT6i|dLUE^XB)h)MVQX6Kka1-FqaWGq^iz`y(E)F^`K%Z!ou_@93FR`_ zP+3HJhwWgy!qC65!z{S>Bq{UTbUNo97T%Rv7O(=92~~XZS8j3G`*Q5R(L;!SJWZEa zDeT#EcBuRq_!2|)Hw}dWY|bBbwnDkbbjzX)+y+gcB4Km^I)kk8uh-{A4@|FlmI|E) zJ|b{c*K*ryq+BdEaoWe*ta`XA1}y4bE<@zDc@Q@wZSFOjCa<{Rq`HNzVu_puzjNPA zdiy%tnOL{zhMG6zG)hK6X1yJ9=2a85Q2NJ`?tR#n2KDT%<6d%S%CAjX8@aH*h5g{y zUzkvbd}bJji%n1C>s?uzdFhi2${UUj6RuOcU%EY7dFJnB(G0xe$EFYqyr7s3n9^~3 z^vD}eyy&cJ#aYW>yac@((_2h3A~$NWSkIIG$RAF$)~sWpS<7H_wqA{8f|3zn%FJdvVM}b z*Shx&m!drn&OuzaXLLaQ<9bxBL0FfQ_AuXsLE3P<3^R#sQKrVMSUni$gc9!)kPFao zZBeZ~gL9pxs-Xay-iTw7~hSJ*2RF9I%0=!ma$r5KLMO*VEgK}hAKOc*ywv4e>Dc?*a7%eV0n8t5UbF` z-1rWO>SM0#Ind``2#dG)5d#^B5*6UDh~u?H1VoASFLr;gvkh~_u=t8`B-1y;=ff|) zdhYhH>*5MFVA#>AE(r(TkXGJj*_p?$OiJG}YN!-uM3&J8?s^MHRJVA}ev)NPS*5WF z-QkLafRZqimZjw?$fKEq!w4F;6R7>DMyBh81fA;XDtT3uo9(PaW$|*mq8JH+=i@cO z{uSDWwH;cJH6Qv00*~^r(I(Az-5awRClucpwcT?`d z*J#{e&@Ep;K`8U=bPa-iYuz-3xL;pc_U^B;+@x0ns{QLHU%g6RP<*9IUK518UJ0sw zEl=4~QMwQZ^~wQKx=`~Xt`cKp{baM8SR6`60$OnlY=>^RLz`!TnQtAyBrVq&E;SK? zg^ji#N*?@J2vH=YrlVuN-Zh;@Lp*qzoUhTbVOODYUu^ChqvFiO##L6Utn&9{Rb^T+ zfoJV(UE%^rs`L^85N87_3`HqzDHuI9#iGZSMH+bsIFJ6N(vfB^2dV|jn(MvbdBc(~ zrf@RBD`Izh1aO&#gNj|mSL<&hA=L1h;sEFs;-G(?mCku@EX_+7Fz4uaz+OuAyXmS( z-lkxZWt)_R%RG7 z(lWi=7=@oYr;^iUdim*dxi~;yz>L=D(JNcYQjZ~cJ=W6vzMLUFEw4KX=sD(d%d^4l z+T4pOyE9rhWp+u!vH*~K)4XCWyVBvBop6^qm}Tb3l3Q+H?^h(1LLYiFcuF`Rcli! zb^*KEsY#P4il09CA~8b)QH!N?=j((Of>fREZIR3;Ym80Nd1;k`Jx?k~m}W$38w)wp zz?^#}os6>u-mD2_{;tvP|*gE?8-Tr7m<50ebeFW2@3kt|i=dNX}?mq(yk9>ZCl=fq&MB^T?k5lU98eM*{|bAalX+#f#yyXBrUI zs>vNAvho+Et{Z-Wg?D&RAcR-QHVKI1(>H}&tkzXG z3j&jnFdF^i;o%^fn7KqNhMegjH`7e-&{&q~EY;C)#I#EP7B3$U+*K=%6YPgOeU-GXVj5dz8j|J>9)1)tce!cAg~nUw~%C`O!gML{t|~r6LjDy)Uy> z3VSPWman%s{wFh79k9|q`yN)>uBTUDde#9m>K3ItiZo(b^m2JYRZS~ueha4T7M#7R zr`H#+M}JY*7j5(UqQw(mWbJu`-_kN#7W{gF^`w1b3IbV`C}G#J0!QS|c8J5+AN0ZN zKN~bM`m>Bwwa(Hjn|9RWq9Vegye4cAMi9;(Bwx1kkUHHHzwdQTp?wpoR<)0Vd+#PI zO8bgiCy2zc4Vt% zc2kYFULk7iscL)#nrioK3isrKZx6{v%5 zh$`xpz9Bf3S2+eBDMYBMGu<;s8^HuvUZuOUHWZvsGc+@q2Fu_+IvkEhe|ik=OVYzS z>q0t%V+yeWww?7nUx4AUfdAIGdbOip%^fw>S96j}XRDQI+4+bGSlQ*e8&Gjwh}dP#G-PGUE!fwH8-`ZLWl>y#K|gAQ#dR6lzJ%

        h6q`3%PCRhslihfM&vF5}vdk$vAu+X&rtyj)Trs38z)a7Haz4EVS34cc9~)othI(Pj@W zdFA(@4^6(HCs*tcl}!3i5JvXPfu-yCrJ+1Svl4zmtqAe$YR1Ec1Gmft?f-0B2DTM{ zhaGb`a95~s0>|#O#P_tA(bA$)g{Yd5+w<&?P*H#}arMoa1#cR5$(K*={qp7pP+D4SAu!>QxpAEROn>0q@-T>SbmRbvZ z7F&qI+y05}0KtOQO|V(XyHwlD%ltc)@~tIcMu&_#JbC}63yq>Vjo=yNtmq#dy~m1$ z{WNl%Q4PPbD4g#{7^htp=Y>)4HTnWgqTqJKIr_c{I4#9$S`Z<2V5&WAuWv9El8U&S zGoe|vLrH6clzywLRZ+q;m{NvEXGg823{9q+7zVUPn}N(^(Ru2FOk!iVNz5glGR*tm z_`t}+Sz{<&;5?Le(~8D9{bJuJ=TE0fUp6Qt13jmwZqHaIQ}C>2ilX;O(G4%v^q$27ed%nVx(2)LhJDst_W-8i+lka|)Nij@mc7Rj~3L;_k7R!Px zKf2i($*`8QWW&R)f^m}f_&?XO6iqI*8YoFjjid8zHrM-3OXu4y+`2KieTr?@iro?D z?pyRbp+Q=kxVw<)Vjmv0k1q$ECx%6Er`j~faZcDPD8cA&&5Jz>YuI9YMx>&LW6IHl5JREH^N{=t4}>nL?a z&~S_)Bt{{buU5$=!Z@>0ZUTCe7a}ps)b1tFET**tzfIYXe8ZBO5tCxCy9?OM8;IYV zX~k`a?F&@ytIE}RLN=FmU*!r|>hOY2tqoA+QDPh3j7z1JMD@xx5IY)irsiBL4RN`| z-5-CzL^}vQRTiB6z;k(p-ew=C*Z!z=(b%hE%S99i4ur6QoJkICueYlS3MlK`)YbI@ zr3*IK&_-p@eRIOhxwE_E6*~8zbaoKkpn0|61F?NmLQ9Id_1o&Z32rL=V^b3Rp%~q} zJcGNx`=Rl%$uvR2n;LWz-k=2`ODxZaLrRs?PVkK}nQw61vPQ9C05$zy<_im>limzx z@?sgK5n2!@J6ECO4=9UQZO8IQGqun5I>$iNZ8{^dR&bCvsPM47h38!s*1D4vnXSu{ zzvbXCLqnSTvY2i~IKk6`i%$gB2-4|E|DbIf*6EvcY#4Ewb0{-ssj-h#$6(RrV3w{n z>N9x~24x=>b)bEYq&p7LLiXk~t>&uC#H;V{d?Cd2skexTF4?d|Q~NO{4lqiW&X=hL z1wz{}Ir&>>DuEYByD|&)=#e+PQy6N3r}X7^o#8|L&GzVUe1ZGYAAQ)#_Vg)?cMvbh zwb97WWL^{tpQfiXJ+gCFvsG3kQ?eQJMM_?cX*#v3U|bQpjH7KV{~ven79&Zvt_LwQ z=JH^S4EO=WB`}Abnc7v|l~vWFN&gb+7Ni1pvr`qzpTm#psD zXTXxrp012oYsHEcYyFq+|2{-=W0$2Ad-NKLF_X${BTboxjk)$67#kQu9E`jPA(MQG zaLS4~G3u%WrV$m1t3XzJwc(fx?0aQiiTR@0ker`|+b7^qivpNUvn!D7gA;Erxy;PN zZNO!{$*Sl?y_a#>IrK+nz6xVVKsnW-FoVHj_X;wdbMprFfQ!OxY%sw%akqcv!;YY3 zs)^ctaUw~Uy~;NmNMM@v@hXKqtgKu?=)R-jH`~t}^ILXf!Hfa@b%WR&?ghM#^|K@=?ZF-Ie~5!tV{`4xPo_3%J|XHOOr zA`Y@$UfV9$6pa`zCjLQdFBSMP`T|ZWk}?1;_C-It_}{ttY|Qqx(m;MLn4mV`W0H%I z)3++t7sd_;qF;9l0VUlX_99o754i$duL9g7v}!1vNaVSqnR1mE+ls%~8fsTm1mKi34W^fw zf0USy%(2ea0w8c8xjYiq?&`@swhe<1JAQ<%?WW;HNdogM*-Qh896B?MR@w+9H&N## z-(wgyNsC<7>6`ElFK~HfOcgU%ZwHiafx^t>4F7@`k6MTULWrscXU&;+P~uLwpF8;r zV=mtCHG7aKG4ICg@wUoO>lDS0Q=S1XBlqCKOq1Vg8J$Nc}W6M zifRxCI^K!F2!m$=OSHynHXC)R1$ipIg3Mq}BZg!!T}J@IfY?1dXWy&vy@pGQf>yC0SlAl&EgZVIC$F!k&SrK4?D%g1^#%U38?k&`k zRaOfc<15y@1O*BVTHv_{{f7ZQPlMz=2}wJemebQnRlX8}?yStOjA?zD85b5x!0_4N zzo_J%=|}Our8)^cEv&-l*6vn3(XURVm_R8#mV7^)p@`eOQ{q`LTvfJ->VP-FF1EK>Yr1Fi zy-h`t3V|Jf#6n_chX3sB z87z+9PeBo)e`peldZ?i zxhIO|%H>w>GnXK*B3pnhF>Qzy8+RLpKW&-CmViB_qajw>W!$lJW|RNvG8aPrdA4!~ zmyW^5Mq6O9i381051wkMISlC7US-#nb^l6`Er>=O=_k0u>?a#ESVY9wIe^j;FhOF8 z?PR-A6P8X^$y+#}aI<*zQIr(1iw&_`wBgswdMJn8(Y+JU@){p0d9Ra%FOw*km*I~{ zUDh}eTgebRr{dR4dT6c8d*dUVi&HfhW@2`njQ*sE#9L51(Ulod`p4RxwNRR1))8LC z_6%<~&0-JQmBT}0&#!>!j1+cnA9R0H-qJ^=F!#1=>IV znxN@b^;{oEgE`%20XFVF0sF%wm6pfWmOtYpmX^iT zhEi}gAhO^rU;d~5tT$zGnMooD(xAA|8XixscGvyk+iyQ&tsBp)574ggkh0#$mF-IR z_abiU^1amuPp`O9uy{}PPm9m$39st+k}Y$0SK?$ts% zPtAU@30sLNOSZJ5s^smCUYB3>1_-BD(AUsDRAQW>t(DuQA&!2+U-?xgky;N^lnj16 zNDxhF%k)n$iG2Zr5e4N)0WdBZAE{e*I_Co&2OtUfUeeRv+Wm>K9#in(X?zf!6y6Vt zmN4OwnVMW3^bZb_!vTh77dOF{b+az0;A?7J(?yb%Wr4{b`nX6vB}n~b>%0Q&X{>4l zcYQy2usaxTKEYg;M9;DKMuqIx-5SUiU1OL$=M(CcdQUpGwd6~qdoVcffzzxiG97cNz zx2B<}P*CUPoQR)t9`5kL9@hW!@--jM?p?#LR4AXE0idDk8imk5GkgxA&NA2A8iZU2 z_4J!#dr7qufF@-!uk!4g5SqYzQ>+kR@}zcR$z^sjolY3_*o6P2R^@*4as73weYJV@ zGftbkXR6WAZ?21dv^g1t-p+J5K79bCwhx5;7w8lwaO|&0m;5;cpu96pE1>aP`_kR_ zBoUfx``D83wI~LE*K{@&6-8x|9m?|oQ>H)wiT1gwHqgl(2m0}^WuPl#*h!bW4D_YC zuW6ucNL^f~lWeEP&-k9!hGB}==jr0RUFR2XYHs@WIcu*fU_E_2h)Rk;w3_<;36mj1AsCijgkX#UU2Skkzee1#WydaE*hdQ6X#!P!%@2b=ep&9(qU zdJ5=5V`vP{UVDFk4RT&1s*i?V%#Y@O_GKU=OD!veiBEjydCPUELfv|D97^0p#q#pI zbiFP8!X8k!Uf|h@I4q#vIUPkxa)9a{XkSf(0AeX!VUF%LMWj2lVb;_C^Ffay?=sC7 z5H|44zK9<*uy*fM(dLO@KKtiqg5^oKaZaoS*9ot5xha_)m7@W zl7jb$Wj5Dy>=e-CDU7o$joxEQV2lRO`1F_po4<=&t3-vqV81&+bEKOKNEHt%swP-w z(MnUMl)_7!LAKVOC_~1LIxnVI%Cr*hky?cw_u1AKAoZ*evZ}E{1fSajfi5~2W^8 z|2rKxBDLngb8xZ%Nha_G5wm|icOS=H5OI11J(`>N z5`9;3-Efbp(IDI}AeV8_=9bDU8)2?_HI#nuABuMA{S)Y(Upo;(Y*#a5v}`UaLLo5l zU$)%GLLIP* z*pY{jvHMvDvF01mY@nmsujCfTL4LJB8XhSRoMXnpM~Vf|O11$YamQn0c1N&vX0L_H zhth@y6DS)kiL_~8z0GFar+gyBR6#6+oIsGd}cHXbGUI^6|OzQ3b%@Op?W?>J%C`$y`SaMM^gtE6iq-4a< z*_E;K(|I<6k^a1Rb7l7JRT@N*p2NnF5FH|!gy0@76d4I^5jQ2c3{&nHX(lkzEF*g= z7jRQPj#7rWXO7+iYmtD$Ur`xQ)EagiAj4chf{DEj^vJ10!Ij!$`D{^KrI#a>t&Sk- zglHxR5l(#*v^G>*lSY%MrWIznjSo9ypC-dBt=yO5s-DNmG+R~Ms}qEtZHO>}z7wQv9Dj z0eQP6L<*iWP_j!#-Yi1!)W%_bll(Be$WkaIH!jCWr(U8*@^-9m~aZl~#bljcF) zrky4loy}J9#d`3OUZT%)nQy!@K2?rp{28DLtk!_9Gjoosf?_7R_*Jhk(^^%>nsV`A z)1w-vszjZ)RaMmbC$UiajZ14~pU2yV=?v)!FpdR|*ovxzB?P2qqGc4f&uZlAb}`im ziNEW0)!)uD_$#xPWNAkZ9r^6GhENB^ zhtG;>UO-I4xJc84{+_UU-LQhdPl6HV@zMAoQUH$~V$I|dG#Sj;XBqVkQ$o-k>(@!e zHQ2w#ozBUrD~pA)lNHKk1;4;k5mT70Mv)n*Y2*B(9f2$2jViV!3rgs$!ZLkRxbMSS z>-cAnU@l&F5%Az_)`_m%u+2Sr{VIV7EQ6YQG(~n^OBo3I6J`l#WuNA}S_s=%Lp_8F z?A3BIVF3r_Y`F>m@JvgFR%|yY!tGK#=JUBA)>KF@GP-)V0t!v1gBJa2wZ+ZS#Xk8` z@A+^4K!CBf4OhR~rZZc#-YWWq1ZOt17prERokN%wEg0mo9h_goA3Q2Iz1i1nI?-X) zQn5iq+>Tta7}Vm+Uz~jz&)H?GIgIENvm2%mqZs7Coc5c^7i9*2;6<#;sHHcpA5o)@ z0hYkUb`mwtfEl4yPlTE;q=n-@EJhtNUx?51BH)(bU?P9th0n>i@Tk6y6I7%c2zmI- zbz%PT9y&1onGp95)RQEY`7m8E1;~!1Kq<4xAWQ`kvx-n8@}&Ocz)*WP7<(?&-0dIh zri#e==vx}Mh`d_%Eh_j%$#7EyI}}s(`C(uh=LPH~;A24Q6B^vutlPV&X7(9y-64t$ zwaS;%)C_Nqk;2^l*X{zEHOb6&k->;$CJI?*U?5_YlbLr5%}4FaV~X&Zw}TIU{0$Cm zp!H=`=XVie^|LuD8`1idx3iBzwehE2O5h}^?3}$|u7C9JhP5R?M&&#>F zAx)%)$deiWG~BMu;}X(J9+BRN5*bH6Q&LHU7qjo;1Ktkf4;wQQSlMxZ0mV6X*vou2 zLk5)`s)HmEWeMM3b!(K{k@d>&&$4AP1(R?(Xpk*O+(l2Na*{-EhIlk1Zv$<|PXg_7 z3-DG?$3P6z31JN?4c9Ox=(6&OlttHE#KqwQQ^^B26A5U#TY6#q#Rd zH}Bv=xYg{*+lq>L4`-tR6XF4wo7e~yfnn84E%X5e(YBLC?jwhtd+8k|+&fT{tkX4Y zsKB)QUB1djJ;aXV8GOsEByUR%Cz2qS7p74nQIlqSNlp=$J^hv$$E;Yw4^`^@LIqK5 z;!LN-Le+A6wQcg_o@MkdtpSQAss%-G8T8@7fqCnb?b5QxLtaE8W}W$T=?}?W+@yr) z5M>uT6C8_f#d=itihV3i%lL6DIgA$;lqc?kCTUw;Qt&GyyQ2N!-ppl@ij&&GbWK2cN3|?g$y|ZO{5@KfSD|u zQEyxh}D3xdFM# zS@46;KY#q<#pAQHdsS6&{a^%t3<#=k?tSykH*`s$2k&>*Y~sdc;1dn!hWlD(>-HbJ zJH9Fs-foCzwdi_j#L&=3dn4m@q~@Uexc61REFPcayP#zi(sX#(^AZ_qdx&+I4;}$H z$;otcK8VSGQ4ghb*`@!bjl;%XAtJuI0C~_dSsV{qnFS+!0?l$^t(+LQf8DDV@sE1W zXqL5=IN9clncAg9b72FUA<$6p?_uC3ns?Ca#Wq|ok7xOTrTO%sRLw#GJh>iwzxPQP zgDyOUs+tHNka_N@z!7;AbY$5HtW;r~J^Hw8KwV^O>Bxs!6cX7l>qvys$KjSC?^$aeE>ly!M9Z~L)@5hf6FK=j?e#1(c zEk=pWEZZ2~TXTqlF2t``WDI_+^<+B0Tg@MeRobwrqQ;KWFF6N1zK-!8J(k!2HrD46 z<;i@&SumE)$40&oYY>KMclQQi1Q^5*IlD;z`9Ub%Gf37`nWM>m-bCGA#?sC2v1E^L_op_RX;=K4|a;k5r^N9qZkFl6;FmEtXcEQ@gSUbhlq9s_hqJ~#|d=mqw27A^`wK^xCR(&;Z&?ZO9QQmbW$}9AI91~JT-4K zK$?I$2V~kWmzWGHiAF%R4L{N^$z{GM@W^S7y3{UBhQIL}m&#?2ik|%JTh|uB`D8b2}*}T5f6CX11m+O&<6kP zWTcy&Bwr*#fOB4Y*=x(9>q1Ao20YyBB5N@|l7t#AiaKkBZLn?lPS}9SWO`^BfNuuO z$YRnEBX(%br1-hneK+@Z6bF!m;xu>?d>^-e_uc8E+7q7pfe9LxM*2)dO#EW8I!w?$ zkHu#~4^pvB#Ym>wUPc4klnO0q!l@8e)U%TvXsAHhh~OLy8|u+K#YI6QNAW$?6-PC5 z7n#GBzpDp5_p@w@>T$^t2HZ~SrEL-FC$Bj1E<8}eWEJIoLes4>?l|S$>>=^9duR7F z1r*;?wUa)XPa$Jk9P{t2ylKJbO@Zug$*G}ylkEi7uc3uhNdce>!L-m^FEpB66j}8e z@D*cS8VBD-EsYeWs#8u@+s)%7%u{zpBV1p7BM`GJMOs`Zei4SB&eM(9LX_6Q6q(T4 zyB^yDPg8KtYqO+cC(Hy8{ph6&N6BtFFuj@GIxkQ(uT`-1Kl0r4r>YE27&ETH z+uC;KfQ4^bRaLHBeF!H$nu0kT!13V%^I|cxHzVZF`~f1O04fI>0zO4ov1~(?FE~tU zZ>K-?ZNThJE0P_x4bY$ZHV~M*eAkeJ@9->pJS0kwQR}1jc5nae4k5T5Ry;FxwW_QU z1s98aSZ=QXOM|~gf&2jOsN{B={HlzhI9o&(tY@&yjoDZxzPg;)O}t>0&8#l2Z7?-3 z_ZSqMYjgq2Wy*&p`pr&iZzW!5 zl`R3efmNCnWjAIyR_#l5sF3%q%~?Ao#=$8iDqguffMXOBsy4Ws2@0P=uEmq~9juc3 zNs4q~8-*bsdHpNqY0$eGO3ii?@*isWtK^BX{h_qvd3p(FWKUI|Ub;6nJIihMh|q2+ zzls=(SeXC{xhT0+{z=(S(pkM|!sdBEGAJGIzVovFE;P5yEtAO-ez2tvgI!P zxpot5&yJieGD7^lep`OtdKdg$f3Ey(+fDd$WHR6_wB1G*)NaJMddq$Ed+j!3;kMm{ zKi8+eeTbX-0B`@}R~v2^ zi~<}Hh93k&A=1VZko%ZU*0LbgBDuM(c-AbuzO2$C11KKN&L<7|hIm}8l0hX3+ z{BVDKH0q_pSJkw-r^e%`Fu@6>7Y=j^)qZV-fX*|)=#Nuxi5De1X=GL9z)eM%E31pr zEMPEIlD%XhnP^{AvS)1}4o{nIr*VqH2vcPb*&^6Vn`&Cm?o3TstL^l7^XmC5@dNTo z)q1KVR$fWjXH%pPTaH)0c1}!P!N|@^q~P`J&TN9em$ULN%!Bc%`MuC0GH(4oI`aFm zlG(!(shK@~RPzLA+_x`3>|l6J``}+b!&OGI=_J98%EX=M!6;z?Js@In6^6BYG^7PZ^yBB1edm^>hK{s6_Pm?L3fj$Oi8RJAe zEf(fm&W(QslhvyNn+^C%aL&5GyygT6Uz`t$^u4Xts_E$j3U$l^Tmh;1^pXpyf736c zE*9`7M6cK)>i1efZQlHU_kl+&_9}q=D^#e6^;Us-h3syD7B&D`133QXfk!&_z%&*m z9eerCTw_n``md!2>vx%U>L6en3wdXS3QQq`kh%+N!rlCk;FAq%H6Thu-m$Y9WYvE- zppi{Wsm|lM+(!bp!(>aPwty=fVCffZpTFWYDARkYKtTK3|3i zb#3Nj-nXisUOEYzaJvG}n>@-n1&ynG#(Yn*YCeXo_ER(E0E2igEq@A)i4Lfr#%WGy z;RsB#Fh$HZWrsTaxTsdfhPwZ>EX+^lKhDgDZvJf<+|{0%0<~I78;%You1A zYg38z+6RY8>RIYVvD5As}UI3qUFnh0!5(U(+6&BnCnj_ZE43ka@ml zb0G-1e7*mCUr{!m?2ixj$AgF!EVL#S)&TEmV}o+ad)6+dV8}2(m$x!P^{T4BYsrt& z%|l_PteCm-L--f$;Ep00TS74?h~Jr~XZX%4Joo}nT0Z`g1zO@D`pspL4AZeB% z$@tbqNrrrLHEPi(;aaLwTRvy?(teFn6?fz}>nBT5+wc`02pjNrer`-{{qI%K`rS1r z?nsIDgP5y6Bx<{h@7`6g;yo~}_0g+1Wx0w&LX$oIs2<2yh%zxsX!ECaWSPxzq!`WbInI?rm5n|>Y691If5lIS7=bYod zK;%=AA7#z^bQ{h8d6d$&im|)u7zoMlIsz}3=nX(>NqUas_IK&)!NhQD0!zrPI$?W@ z^qMdXQ!FW34B`q16QJSl zMN5Vbzz??n3X6^r%m$|JEj{V}7s(Aytiseh1&` z!Bap}!EC)i)mr(U88%@~HG-5O8K-ImXmSE8%<&641q%Wl#NkJ7@1QrR016Jz(g#s? z`sl>r`;2XVzUkK?TzQx7PERdqi=b}&=k#n<)Dyy2Vy{+XKyTbn5txtKtSM;GywhH* zg})c3Z%dI><~I2|;rlcj;?dSt0k}*l<7a{=vUwo9VrT z@J%>WApduz_p8Dc=`;O8vD#m2_z_JpoJ4mW{-b-zmmHd-K`2=ffMX$_pE>UHD_A8P zSl{ybaG{>PTxcnpovQn@gurFEY}#F zI7II{;8S|L6nAY|AD}xNUm-o_b9`{e;f)U(=ku^(J}rIL=3+2%yFh(X(U*4PMs5>t zQpe-Fj(Xf{QX5`tFm*?F9mJ9U-5!-Q?J%rTy~Ehm?;wM zPGO&70J_oP3&!C9LenV}MZOU=lV*?nw`(QHPLnQDeC&sCJ-$STg%0bEV-z$Vrg=m3 zO)5U+W19Wk``v)eLH_=Z=w`o_yF#2Ju3(=wZvSHaW$joTZiO0g{hdK+CKl17^ZkbS>9DoNq|MI=4%4)8avfBdhruhzwWd z)v_Ax1{f|7f4@{>OA=d>RI6mtRdzM}*tBkw$N%AIbm(~ol}8Tb;zv$FOY*B->^HZ6 z^Mf`9B^wCq3{dus=Zude81QJYE4EO|k6|qJh!};H#Pf`%(ju@z!QWwN6a)u{1NbN9 z+29W~Sf=ZXrk}(iZD^JtVP3(34MlPgu)PQrbW6tXf=sN%;%@I_#w2^2ZyLfusenb$ zzj~2k0t{?XW2*%7|cH`~RH7~me}^)P{-yb8Ypcdt)tz>+A1 zt;bj!qqJS(AC~#d_}Pn@EvoK=lxfwEE!rt$72XDAna)9)0J73ba4EW#$<@FD!Z;jA z#sCFi2tbfaIbyfMBTdOZx=AWCgiaXS&a{dZ5VO3R!k_5BP@o*C1yQ+g<}NlnM~*6_ zfBS<*>UWpxx&Ww8iC9}#NYIgcH~nBh){HpHa$;t2wQ-k_1dS9_+y30@ZrI@De)^2e zQmTn!MuASY2hH$sxPP1w#b4C~%u&G`d0jwqd^CReaDPm7s{4nIG_ai z5>aLdw;b(Ubv|vX$k3hXZ`5CDPZ0@%G^mM|?s2Q_b#aa9o)^z}g{|`GW%P{Va#Y-W z@Pn(5Lj2$t9R_ri2O=vOq-@6|L-|7NWU zoO8PPiUUsz|8_sA=^q}MKb{^BBHAd(*{X8(3>qTUyxuJ9$fRgA6jZG zb5tgPq8%!}={UOnN8HJL4j_f#^T`Q17 z6^QX5QMYj5d0g@80!oadCLg}u%H3kWgZS&=60a$4YLlWYw)2a|Dlh(BlR=?bVSYRV z=d3J>%dA(16~Yo`bDm`8e7@RdHZQ*<1G$pid_3akzimX9+p z^qW~U@RzC%ft5xIZwU6jAb;X)X=7Nz&cArCz1Ldx&d$G5tNW_s!$N+jummi4o|a;- zm%WO;A_TP^5h+(^)l$S2Yc}Auu-G?&QPydqwM?g@D`#C0DBObcX=DC(;l81FEY%7- z^&jK*@5i0uI?H0O5dIuxjH9!^-Qv~JPYeX(#_ezPdqEt>W}sv{e+Jw6x1PE6<#bcv zHhzNGmV>*7wqZ;?SO5ygaCZjEuO$Qnt7(xOpJHwZ_yOR8YarHvcM zW4jrAZH_IJQ)~)Y_lA%XUqUlG`7dx)Xzm5ID)41m(_XCz+_rnL2{wJ;jjySj+*sp| zaeVYr_o8&uxbtpQWWavMe06%w5$J>F{m%o$wOVDK3}~7C{D@*9Us?d zUoGM57nCemXy)E-ve$Ny%THT{qbRl+nuT6#uFS!uzxOCDj*%GR805uKl(Aem<$FM3 zYJ7SsXb3Om78XxNInt9$Ouo-gV9TH@*x-$=It(_*`zq)e0H$4_BT`2B>rk_eEjRh{l@Y$SOQ|wTUBdBq+T0{5>Gi-n;$gkqbeYyg_Mav%qBWRCU zDm@8l1KE4(f3}@l<{xOikJg0uAhT?}6>*gC5#+Z}BUY0LOp4i!BL(kz!rR})JwO9m zYO!w&bepC32~6FS%7-{dvJsbN<)y1;e2mLu{1#rBd=6wT;5?Q2n&|}r>X-Iu!rc4D zEbgb~C^AD*X1lf6kh&pSPvuvg$)&n*4WHa1141DbsNFvqg^AU=x{7TotsEJe89P<$ zw5Ox~>AvA5<*LEgxPNk(yt>Fi#dNX0FgwwwiyMkjM9%1y*}^5yMMme11L`ns=}W%G z)xL$0Rlm(Ux$P11n7HgoGI(N4ypL_>ir(21cv*P-*Pnc#f{7o?b+xGCu$i|e+NPzh zF`uOpvE{zH%&`nknG?-UE{0V9rW~S$hVv+(kHmY9X&hnXMt#NLb z6T%XT8tZ6y$pk zXD`qAArkpBk&9U=t>9T5dtgrF^~{*2gWEA+SUv?7k?Cc2<82g7SC+gY&V%F&bJ^!~ z*>ePcG;)x_9(*73rZsFBS2TyNEvXuLZ0;7>+DP9YtBzhneT-xb&Fe~+lQN&pGvf=F zlE4CDjp(5l#= z>HU0NT%yR`CI~_t%#!iJg#)~e5727O(Ua?~U+QJ2ZuPMr#-NvzO z9LF-V<9Na2Kve&EIt`Ss5lpqR?8!DnEzL8&Zh>Hkcv5 zW48O>2JD?&s)S(hs%pCi;4;3s=?1-`eE=CPgJPVny)Rg(zaWN|t9dU!*_AHxBj4SCX}Fdozlhxf|Ct%i8RC&>7}LRa*~!p{)+jfaB!4f z)SQ7Z!JDGE6qXB38~YVzYMhJR$YmQAlsDjqnJCuS2n$6L+aEd1WU+Okub2nzCoXI5 zozyIPgs*1({hu}72)Eho${-=XTT}CMK;5Tr&C;I}^#6qbN>OatC(_`Xds0cbJYtTf zEyErmpV6>%ut7Pne13>HEkwxXYv~}ksB@+Hk?3Fm*|aR%B*XK~$YCHN43l>ulL$Ba zV!2)bbBkwh*@ML11^a}(){CP32NWpx`68NGSY)fUahXVTST|Q_sgsY;rds<%+ zg$0P5*;)vq+X*xW%(=Mm!m!~0JrS~wE`*b5$37tY)3XP-bhq|zKlm{GV#)i8VUCGk zEo&-&!h%;<1P1@z1l*RER9rUF8ebL1DBFIQrnq|=RKnNP{^Mllvu>PEt)W2(z-bQ%jHHV=CbSf@Bn>_yRiirB3>bZMvGn z|1oynWRbyeuCj%h)VIm;(F4mxx!M{Z2b_#(z{&kiJW|Vby1I$UOWJcZU(uIFs^uOc zhr*$@qR1E#`w29=mwcDb%WN{xm6fLT%M2oR%76VtesP0lz(-}NwHjXkbUQ&oj1{ad zI*6uIU%2^|18uF%92-L`aAWX*KoScDvN=Yjy3+?h{f6}IHW)$Y37Y9;n&XZ%1C>q8 z1gz$TFYv8>_k&~~jobe%NYh|Q0t}Z7!pQV@i}RCkD@Hpe8Bps0KQ4^`4*B&3M9;uV z1bPng{b0qABZ&&284__)c*ia;GsYEEuLKJWUQTY_UH*&h!Qt#cQ?;cFE}92^AyQ_6 zhaT9dHd#n36%cYgIH1FZ&EY3}xjdpDaiQVcha(zQH_YLiQL-gxc(5G^=@?2C_3U1R zjqcJr%*}&S?%wSL!s6X`0vzr4T?Ua4{OQl$reMx=)Rpm7#+8F8;tYgjC^2r2-VHfN z{^0W!kpsVVwSz;zN}Gdq3ww}RQBYr&t@91IqI(#}hySheWln`Vw||2WDOZtPvBs8N z=gXyROH$QagUQX2Z^uCyv(*5(Xn~0zVAReu-D5@oAe^FrkagX+@Tlj+6y&>p+&rqi zaDz*3V^BlMlRJg5FK=rJ#pWYCMaGwu63m!d$JAF&pZf_BdnQQjF8RFlpQ9QctAt%*+sT46=0blF@AvjI#DXnO?63dkm1>k%uiczHK5fe_WJxb7|hg^hFuSDFQDx?Ow9>d6pD*caJ+0F=748OCSWr`_?`0_1rn{`rEaD9Z? z3SO`uLN&v6Bas?Lw(mN1176L9PKrcGqWsjPzj$J?k%$lqZJNxgVDFd-5vI2=mW7gy z^uibt=Pl7%!DATE3V4HvvxP-sHur1(va(QFE3MN8YcX5EYL09TsY14>Ir3iq1;RKU zJw7Mo28qSxLmkAC^&ectY%WntAxIY=hN6N+1oV)$xCun(Uhq!0MG1~{d^(Uf5O+_ z1A`eQ`22K4?bMSxABxgpxlg}>p!2-U&WpDl1N)S&`u>MAy)b8Q)-jr=c+vMim?}L_ z%e-SSXL!-~KNy7hcZ}uBHP-8W??b_W%(D2-Sk_%bqHAB!wfhr*B0{n1bp>qF-}^`@ zHP$gi&Y#W9)-;6*1M}zad1SYL;zQDLBodgSRDc2gV^A*htU!nI>x&`*4G@CkR$<)u z8z?(?^6}GwgblyB@mWE+abNfS;f-|%9|Ga#-2pgZ7;M_A6y(zFcVOqix+5UMZ_Gq6uq^NT7?6VFc$ z_!-z0F8y&69DLzs-crZ%_9d_8b9lRF)b$g&_zB}eNo!NZ0BAUtqi^?d*<0Vwc%0be z(}>jMs>(@e8rQMgPwprj!N{c1=+!3HcffMY%Q1=+H1KHsObU?&i^pm>en(Bo< zL4`oumZbWrubevw{_Q)z+)V>H(l_( z;AH_F4<6YfaA*!2rI<#tfjjx&)SxVeVbs}~;V>6}UC!`l}t|=8j-t?3nPc$*2_UG*+er7LXWvqdF z+l#bpI>o~b>Z*_+sj4Yp#3b~5sR_l%87pmXCC`W#w3}g(B$>0!>Q5Y`d{N^=?B{PJ zrz;5_ZkX~EU?6|1Mefttn{BmO;(znITW70uv0-T4q*!e$S@!_%uW$A;CrVfFE)xQ2 z??~&I4Yz%~L;F;e&^&xB?0ARvMMbP^T03-sBG!7Rj?#Gw+7s=aL9swKd-v{?xLu3f zo%evS(t<$@?G%{>>pewXxP(E&b|3Q9j~w?XTo(#O$Zq-L1Z)3p-+mDCgfx(Yd|i}_ z8P=wCanH6>e)`VLQW)i(FH>0Z;Rf~fcIBpkU8DwF_G6ej&v$sd51~t&3nQ+{hCfL?H3+s8>*UBuERUQbM%d;ei#ND%Qm_CF6Lc@0@{P@%FVc0axpUy! zM@-7vC;p+C=z8*N{8F_xun$zK|4y+TI;C_YkWtz0gv=~9w$2jhK)9& z%XZEq)9G-UPK=KU!5i%EmFtMRcxo@OwOa4e-x|Kc5}Dx}I(!9JU>v1-FFl&`W4eIz zrJ=vC(?e=ed7_*t#KrTaJZ;$z;gL}7uo!nR1bHyy4vDeo^)W^CHZ)|vMY$C98 zU-qzWn`#Z|25Y~q;_U^3Zao@n7I_QJv>uIVQwe9X**I#d;D;NS&sZBmfKCeRBe8PW z41)Av6?8bN(>J^aYlpnR*74u|Wy>v;jH8Q_JT}kolEszwP!zWOPz!VNeU~oHPI@U= z|G7m5n*TK4Em%#2@j>hgI@>G=oXtb?OJJ=5mzma7hDX2$^J&atmmJzJG&yXhBzX_> z@LdKH4_l&r_MBUul`$NF+1#a}i!yi_c1oHk_xsFK>kP%_hHaKO{~J&1(MD*rO?AiV5Q{9dFZl0wo(#UfWj_3I-(^B>9}xq3s?vzIYKam}fz*0X zK+QmOms^iB@R%V|miTO1Y=AwnN10V1rA2PKrmD46dtC6L$oAlHHJ|L7o@H^vF@>8@ zk{$5Jv*KDg?gtN0&192VDiAcAb_wT6{Yi)SYV6@EPPRY|3~=piAYSe0Z7?LBy%@U}*4>97`}ETMz~mY_0!D8HZ`gGJ+MU$rkKxz-9x|4a*e z0SJBn#fyEP_Pt-NRyX$CSFrh7E7&|21)C-?dYxN$_{7W*ZPWNg?iuUlH=Uw4{gD?F zl78m&z&}UUN?S127}~=)3r2F_`=Ev{^XX-Aes12=2L0o+#%SLsENJ)|A@QHQt`%(( zX7S03`>$RMtZ-hLO(|ycm8eAucLTgfmc=rc_>(R5fvi-+b%CPX1UnQ3;G=}U124lx z*{uJbGS<4d(X?w1m%;8J#BF^q4`U%sZD`Ac)WtSZP-zedeK z^V4%$;>mNfuY#bUt8VJl5$vNJ2=DiGZ4-&?9Gx10@-PqflHg;*s=U5-$Y3R9VYc6VQH3cwW3aDQ*@C{(@66`ldYVqEv3M z>fDL1cgi4YsY4MCYZg0Dp91#;3i8~3*TxF3P&RI%rM}2pkMz%ZHYvBM zE2gWJRH+SxmKXq%`KC}MFIM*4&KDnn$Mk-KtwM+4M7!cEk!Q0dSoD{HrC$`8p-o`{ z57ws&6^bGZ@{Cf5amKe$%$fgyMD>926r9MH0XTxEGRxwF=%0mGV2L)Bs(-Q{1G1`( zZeM8~(ny5X7eREtnwoPU+chbyI6R@Hz7DgF7Z6+3T&OL>)XOPd<9u(cTE+7GW(guM z`Ls&xMMQ|MNfTU|a=J*#%`vNCaCn3qXbT%5D>N#YV+-wHj=aIoO)pb%KVfCHM#Wg3!B@9+=z!=%UT?TX*zgyq>EZ z!h}FcgGRy6aa-P&lN89fHs%?Y&F5*#M3)2)1%5Fo1exQv@blu$RRMe?0Upbm+Gklg zf#~xBgnKZw^Bidxh-Zqe=$jH;>Z!+nCO1BnAL$Nv+IT6@@KFX8>lw=CYVmbULR4v) zhaJJIg1z-XtiIZp9f$+3Vzvz4jH9*-+LfOjAXd+?#>%_qTO@~!nLZx%0wb&T0^K3f z2s#}Dz@*w%-O1`e^XTw>3;^1>;{e9v_cMTT&l$M=U(rn$@A?@!xX!jnA^WuW~ zNG-z5exq&E%dYFa!V(ZH(@SY+=8tF3?25|_T&7AfV+qohq}Rv<2nNLFDYGG3J}=B% z7U?C#HO+}(Hl(tW;317W9HbJikYFMC$32{SKP?~n)jXyRy70)(Vtw~P&3S*>!*S<^ z*HGvq5g_c;vQ4{3jPIgQegF`yZh9+#0!__pP^}U3Acs=jP9viVpi-}~1?sS7n~-0i z3Z>|9H-jWaKraTo51*fCyTZU4Bf!{a95W#=C1h2HOY7e!|B!6b%WUO%!QolFz89&tdVR-^Xi zdpvem1Vc(ltjED1>(0}d*uoB1vjJBUih>;rGd`Kka`qJ2D1dE9^OUBOV!KgIhYx-G zKeUQ4s}#E*NWkCC*DbKd~#JH+FBa6(u#u7|>^Lj9^G9C@; zp`CgOAMi2OHX0b(p35|m<5y;^nrXKFHGwQ*B`JrG#>o((Z$~3tF$I6--uBFI$rjlm zO#=@1g3?9SGF)nqBs$4H6=edUs5w{c2%RX+Xl z23F7(LXc(yC^KNVB>uP@g6&EkGkF8=YDt8V)*fww$nsDql3i!mt`jtaF=)0hfO%ul z5-_^qzg#*ey9OG_`^iNL?hbY!r5EYCal#Ru?lcdq<&7od?F{yq>A7!aWdjL&mMAA< z=seHxgR>q6-cGz_Ug!wAw_E;?lQH~(rkI+=)1u_Wx|OV485cn64d!J&^QuCS3E2Fx z7BGxFf(wp&^sQ0pRi2ZE#%}*DT74=U@U&RX;YrCJv5^25^a~<-zkP_6YpQtRA>{XrH4LySd>j?}@4w zN%SCZ_lb4hId>S&EBw$c z35u$TJ-GMqpMqoo5}U6u5eBkNMC3|&u}!mFj^b4zo|8Y&YU0M~oxB8TkU@(Sf2GFA zSR~_Po-jxuYw{4SZ3;i>q+XkKQP1f`bEn+hFC_y2DZXDyE>8;_!8+ufP}Pgph6TLm zoHS!xI^%U{T9PUZ5h$Bw2EIeUj+G9?lHS@@cgh|eX7_&Qe$>KJ1H zP`kxsBY&Qeax_wqkOSn1Cl0ZM)CXq0{M2zQ{%`eK={)rbU?^F$p8$#g$_KX9rP(Z` zRE;`F(yg)kONrg4Z$aA`0C@6ew-&u17X9wAhFQc5)Ldm&3!xW#7~mbiK?J-t;76+D za(l4=xWvif0c9>wyaQ5x>uj~EZWdSRDxYovTx(tlTsVFp;WCUA!t;Eb7mH%f{0-nV z1oRyKsC$7G$^uUnD=mk{WzZK}obTS*(wGIaG_!CBqUG^fHxOPKCoTuwG#~)U%BxgZ z>|q93NA8QCJ$(uFPs#IudieGOF+#Y-p?zPQ0QH~w$~UMncdH~;^Sx{d!B*&FtggMsh^ z3QQGJR)eJ4n)C228MO%Ck}Nt650n@xj_COBxMsH6QCBRiqHqj7UMfm{b?M;Xx!}vX zTd6RA>Uw=Ps|m!Kt`});p+x!&j+ESzN~vjPE4c>LRL>(6O}upQW*aU$d35YA92FXN z7d?CgTpMy&FIKW4wUGx|%_}yJpPTcrpu(+}MQPr<05iWbyF37DhRRVEK9Dq~ z;29mXoc4C#0E3?}E{cJxsvfua*}b!S9Mxiz&f3vHQ3xsXNuD;JU%Y!7ulwLZxS@eB zY#F+#zOh_Fvk+8QH$L3u#)s<0N4wnkNZoj{%Z(@M#?xJHJT-Mi9~lvq?0wiP zt94zJmjL||IrNS~^lqk0Xt0SQi*$7b-4ciyz)7^;u8cY0dof>|%@IOCKT19;jca1o z))VtzaP>2@FuvT1Lo>_EOqer2HYZ(qqk+P>pdTlL8)FlXkbyBTQRnI z0n$<26n!Md3(DR{tJIL6MmyWC*94t_mSbr&@}wq#t{p?e_mZh`3i1u{aR%Q_WgN5( zN7_m)?a`!&C{+g_!!KiwYhqJr^<3pXe8z0&$RL-t@(3qf8;xdx63*y8yY#4{jwKO{;eX}&T zfA*sojYk`QM>7{*UsjKH2D@H3{JWCP^&q|2iL0$Ay@wgfCDn7?hyQ9~R3iepo5XBp z#RdQcK?xXcBOb4t#2V}U2t!Tsp}Fvmye|&pQUg}1v_<(ESi*CXse%F zE~rqx^|O4DzJY2s`qs~i>C|+9kHK;^3>OICf{|mcR-xy?6N8aL*M zLOm+H7->ojlR8MSg9PCprxoGg{!yKCRSn=`xr+tWHbNC03M66J?w=TFoE5|w7w}eL zutIg-`8pbGkCaKAC`45c z4iNE=@c9I?CqV>EqY3PwoBc-#sF;jGS`jNG#t+$=O-*Y$?&CqiKTJ;)zxDMuogOZER5lzxTbPMqnh(aDHQ*lliVLlOLI7xk{7EMP{aRQk0iw z+5`&&7AKUw=2VUBtz&yS$jhOSNSfn9jtMC}1AdcltvoqY48KlozGJpa%ojSH z70U>qz!RkMCe8oAoy~QWyxFd>I@F>8(n+?6BA5wuhQHTP67H#N2B!{kPF<~zo9>G7 zs93tL0Bh+Ck;cXeuLO5QPh<@%R+z%-b}$+M@T5v}>I3r7DcmEI0N_9xszIhRsO810 zM^4Q?T@-V7!0>9~zgy0v05joDp;cp&9nB83{o|h&Qz)iCIXE~aQmMaWGi+25MW}18 zH4HpD4`q@~w`dIFt@RptGws7##` zCg+eIkt#4K4x3p#P1W&jY_jRa3Rku~MJt+kum&BQYHi#M^TsBCgCAxm7K50U(+jh0 zAiBxML2uUhBJ9*c3uZq9CSY~BS&7Alj(V?V;wmkT$+yuUxaPs7Kr3b@Oolc&Jiwvd z{sX_Sh0~}(%mS*|_fHR#mmfdbT@$|cVW9xfl-{Y(R3djwlv^fF zdF(|pJ~%??urP+93ZWlcw_#qArw~-I1O^b;KeE{jlvt`Z0p};bWt^f;10TmwW)sX} zwvD2(bGf-j6=2^H_5r&`)$pKTUUl@sx7$vB;w&oR<%KXI^nOl(3(FjoTo&g=2B=~v z=)VER=b`P#`-BCZDU}-L0W5{vscy-8SgVN z{lgFYW<66yU#@GA;TwqxY6X5rOr$SLSG;HbLLP!Ew{0%;O_hf!K*nmCTojA%E_1WH zW~)I>m1~D2=@%RWqmsW4kpj#F)szbAP3$5~P`~?bq7M4d4I91vQ=J7Xfxi|~vs)*@ zxd+dzGWf&pG8LCd12f%=p}5$Ps>Dm)m=8I-i6JqFJofDZFa-Z>TY9l$YCI?m#tqm-dO)vZ zBm5KyBQP89ix-d2&iIj=vH+1A>D|E)aSA+bX&gA#Y7(!R9badn%5;d7^Ax+#5XOKc zE9!XS-4S_HYPIyzfKqyBovmQ%VoC|OFYg+HrogzJ<%a0cebYrz)g(T<1JoW~ zHZoa}i1gX+(dhpV&t9C4r729!Gw5kD-z7rb)2X6s0W=-NkHekx@HpWD(bETbblv`m zUZOp|u2f&08tqm~c|T+wQ3bhExQBVJQMw02d%TAY&+Ik@pBfxWtHH>>d#d()Zxhk2 z)dONUyHCLm58p$U=ldPQ?Y~+pCqC!r?AA1{wI`a*>*yKed!U zoyGfQ{?@mJNm;CjP|3AGf9u;qBMhj|{kN~s@=I43)n~$bXzUAXXA;8_Y{EqC2%!PG zd=ul+=Qe&~?9LP@SSm~{LhcIq^YIHamMgb_;nfA~XX#a%FH$gi>qe3!Kh*F(4*LsB zrq5N<#Eo+=$a-2a?t9-P!*o+klkzyH~0+Q1tRs zH$Y>+y*_*D%5vyI@jH_w9dhzQ9J7)%j5!ivk~}(JbDTre0c3d9_Kmf?c3P@Upc`>{ zwYb^eTp{@Ksw@Fm2q}`B4ElybRh{3lZQ}{StOdCgH%qLE{3RF(eW(&^;%vpbEaoMF zRx7E*rt)9K18iOjxmARY-Aql3ZCMIFEjr{2hMy`M;{RiODFs_GSeD6O+pzFCr!o)c_{fRuDqBA6h(2# ziTtE93uj+Hd72E*%<*$^olzn46J!lHZ{?}Ib<_rtbg$?-of@mZ+SpW>@cwps|HgBOsIQGa8-1E{QOfMaPVWeHQL?v~i(ji9&#HO+? z)4a@K@5`=}^he9Pgtk1*@irBPzlv5WgAqa|3=#d%ad5#c&}K5vA|NKWs+pKu+-{0VsOd#v_B14mGP^@LE6{sPfrtRC!UFtpEt}x{8RHXD*<^{FxicZYjy>fU;zgab7BnOrythDuzE;f_0UZk;{eGm!M36j zSF&l=gtO{BhG(6vXn{h{hyp>65}QB{uxG7JuQHnejqS${tjot_a6qOF@8wrpv(~c` z|7lhYSNq1A-86%7X2~vj;rgs{7SQ`l1L&{P@Y9)VA-YV^BwPoS%Hsdn^ps9Nxd9$+Y8 zGPz+Gp+<|P6cg6_fFxR5#&MQtdT|n0z$mk;m73>ROV?Ei_8)#wH*xhw%Gec0{1aM4 zgtfxo_buFNpy5`BK)Q6KB)7ei`FJW55MQMYU=tN_BpWMHxgA;*b@8?)kIJ2zG>fn7 zXz^HzJ9<90`Ml+hXp^^p^uzaudJaP{y6bdh zg))J(vTJ8Ft0iK@EWjNa(-93-YhJtVDSP7qt8B8Dev>CWcr4y3ToILivUheo)J~o| zKcpBcwan@5M;Pc5_rfzvF&WJG5i_Pmo(lJl^+qfT@WxU#_b7J;OJIp_yE&~Yu7=MK z9YZBw6f3huLu3-q88_$V2MVshf0>UCtUfB)Wol1~@hayZ%kGUQ3;B{_kyjVi+eYJM z$CAnR2O(NZW4wao1eXX%UX7acpvyAK*Jh6zuyIRyH>^v<$9!t(ORpq20VY!ORI^3Y zG{oRDM!0iWTvS;wIX*4*C8H$_7QK~V+THMWuS9JfG)Kfq`-35195qAiyX6ri`x1Jw zqR5>LV7dsuC4`WOI6WfQWgMS9DZ#?n&ygYY`3KAeAHGSl2v zv%4A()n8*-RM_S1zxI)wp2qM_B~$H}l-ZhR)+XW$cd3nh(IltMkQS8EKDD|;B{-wa z+yhknY_%>1bi)8Dhq8GALds61LPfU7J?5St9gdW;4JQ&+7~G1)@Bs0M7Jv5ySp z4>(N_TjWwO$4G%sN=0L2|E>ZAvmL0%N&O|9vbnJ{y};7I+zp4T4+iw{;=kHv zeLDCf+ia3e!}iV1UF{RKRaf&bi>ov_n-<0s4f|MCon1_Nb&*{sAD7!z1=3};PA09L z-2Ts=2QAL-7ja2M=iS+$CHufR6ovSuzOwp{fZqXQ12(}ShZkJtd)wl|cMd?Y>)Wv~ z6fEM|^LGeCd32;lLNVoC9rjMEuAz>&xrn$+Vc>4X!no(y>J|E-YA+$aOYN@%72Va{ zA3y4H_ha7vnY~Im`0Z}JS@CavUqd?Et72sRA708xl7Vrk{!wT@9u;K-<4*iYBd%B_ zXA`PSDwP?0ou)0AYx6bOS$m(ll!nD#9OiyYyT%>RNk&ryi#Y zL=7J&MVC%5a^qz;2>wLdHAZxl9#B)-m{q2v#kKAmapo8c-Nq#Q_k5n*PqeO+mFhZ& z7Y9g95OxX`FYCHawZ;=@Z6M7LoCrXfox_4K2kt=kG2n>+?u^J(kP@xxn;&}S=z-Rx zoTw*^nj3Y#*A_xQpLsBxQKB{$eB8a{=U`D00Na5RX@^v0%|{31)p8004dhj^+E+PL zu%N1FN{$MDng~1F2WW?IvbhiiOo%D`If@}t=;|w2Q?YF6r~Cnbxyl+*G`?w2auof` z*uJ8h!%ql9Qyw;42W?A^uN#|rpCVEL9{d5a4h-rswWmxsG|kKDHs8b$@7Q=CGpfEl z5^Sbz2#SW}3t#)3Q?j1bcM9uvq{Y6NHQz4$py?{xFloNMf|6B%hMJw;#EELEX6)BN zCtldURfDLLjqBZasID9J!VwvlD@Tnx^J2=>rv9Po5tmjbupO?Mw+9YB3SFoH#O9y4 zKo2}&p$Ng&i!WX$=G$AYwpF*?lg-UO5tgl|({z@BI1v3DFnMy@t^)mH)+27lO@;Ym zwutywR?WkT#eM{KNK&Unntj%U@#({dAQ^P}=)grV%UNv{62vq=k#{`J%=($N*SF&J z4bjkYW*cdqHlWw2So0_|W^=v*@jv`KC=A`S&uX9xg#w3aBG}(WfaLAJjB#)v@`v$$ z4TS!FEFQ2Jt@ZxxRQ}?*YknV#%r~D5^z;zP10M(mM`cr9#xg0YU`gYpU2^9$AEIWd z+BGT-@G!QSwa6RK2+hpspQU>oETPmJZ z$e$~dxL&sqCr4G$yX+QBS=8H%aVGa^@%B%96#}mU+rqC6(Eh+X)CIV-?f?I)0*3fN zKbCR*n42GUlneZsc%f*p+TROh;o0tVg?8&}t9u*;b&tljlnc{3amcLLysx^@$Rzo@ zt$C=cY@u}4b|o{sd+F#8W6ByS4Hc1LXN_nSsHt;)Q__O;tC|-1rSTD$Q>otf%1U?4 zk#@Nvo#m!2%!QiSOiE54o@mcW5jtxQsv4#9b-r9WhYB5@#<*t;cq*i`@bzYjwX8Ht zcu4{-q37lfEa_b$9_?Y>MY?jb>r#>ee+;}rY?WNmV$l&PZnEFi=-M%fTD5+br_+*i zkIS^Yv}f=ywg=;b8U640RG&%aW8Bmj^y*O2K4WnSn{tjJZt-@&Tl3d2`fr=`GDGQM z5y^HQnYH?v8R4<8B49Ys=T^9PcD56*!tEdL$uhvp7Rrn^wDW5mL#G+`{^)NlCZ(I~ zbud1>H-3-|PafIovGHN@n{=`Ha2}Zd=3DlXlSdHZ*E{Sx^5FXC2-sIRd)H~VV%_`W z#NBDO4(^Q~Cc{S$-E1AG*?OpF>(RsAXRGrhX+AwFvot8g=cQ)taX~Nu2Q+UuGkTvE zcOk`XE){R$!F(V*n8(CI^*28V4~q!hxx9X?6U%hyrrk5w`!(^m=*>DLE9B<8PEEe7 zanqJjy4^z`ZFkst?YP=AO?H#T6^g+l7e>Jiw~2yYcGF5+>vYPYsdQ>@mRUl;G-g<^ zX0}h8w}0%z_sMbG{(55Y-_BmrI^FR*>*6(~9GkO^FC$Rlw%h&OqQ09lhHdw@XA18I z3XVWGmOyi9zIKfHJZh#1{+UM-?DOk4(FC*K?pkXv>-&%URzW%IFd`<@zTs$*B3JH2 zB1JK7Z8d=QhJ%tSl|-*qRdF&M4noy@)t{rUNu>x|i$HpIs+Cd_M74?}TZ;ry$SB#v zU`|oI`4%;928#*D`0`aY!9wj(tZ>S&_vv3m6+>zgBZ)t{2AK6SPnUTzJYS3$u_;g> zLC3MXXY=?9p`E>jxur_i+mAewJ`8x`XKMO=@#6loXX2!Vuj3Blsn)HJ38xBSs?R1R zziDPhW;6!7J1~P46D8C-pFX;Stg0R4B1;jTge}*eQ$AnFAyMEDt(C&jp(+~E#_)z0 z=Y82t>=Z_NeXhJXpQrC@f4%?Qkr0CB`ymnIy+KfWRCb16oG>FeQr!wR zk<4tR0-^KioWqz9Ep%$HHyjhMR;dlM(2EPnc@;P2`io*)IUaTV)9hwt&J@f?;;*pL zE65_XIms3UzpQ<^;B{NZO_z)ST`g$_4yLaqWEhcgh^MW(N5b9 zl&A~s0Z-9yrK`#`cZOfo*ZIQOP@5{O7p~FG07;TF=x@x4S0QndaLf`nLn$zy_)^B( ztW0It9For7t+5pni9I*}3psgC&cYNRUl!KOn}+F*uGZ44d2&C&2A_bTV~%I!4~8AMny?w%Nn(gazD_cD|&Pr1M9rE=6E@GjM-Sz*>hu?&Wb&=6&s_n za{*L>OwmXX{9}(??1 zLISWturre5NF|HaNvvWiO78-lkfhYPXW|jw1mY!E?h&U>^~1U!=GGdw5w2fS455mu zrn2;q?(^W_5pX9TIkGSK(=WD%2je67|FB;Eo?1GF14@I6awki5QmI+)!T)h|V*L8! zz2pHOSin0KtHLKn;TD(PhPYHshMXx*Jc5|PT$TYg@kzv(Z3@YC#ol!E&OUq9qGq8B zdDHUJiLUbjXhCtJcMP00Z??;Iuo-0F3(C1Ao@N!CU-lb&c<*4$SjnZ?vdp;!oj0aH zu<>NLgthS3a4jfl-ez9@Rim13w6rrW1fXX~!w->Ks;#V7^%pPhMO$j%NL^R?^ir<@ zrkucv#ARxX*NwL#oa+y~?^=PN`2ozSsH9zHiXWT`24R~Brz0S}R;-$Jkssax9A@q0 zkd%IG%~N)*XufJ2scF;?bXY>LU`CTS1)5b5&OuzxmF%_lgk@!J+pFhm))tNbv$+|{ z%j$1Z*PQszvKJIpxf5Vg%$x`N^68T&$ul99`{Ii)(0u!?er1n@#+#ZBjVpE2yWEk> z#hN{CZr7HT(GG4yAe+K^J?e5iS5vHO#WawuK}I1HwBYu&5y7bCS(z?V8%0G;P*(`( z$}jaYKxzeht*Xp~MPF)w6?V%p^rcxK(bJX21|bzNukgZDn}DD>-f3c-=L^J8)E^MO zR>=Q&R=8&-tKjhv+S#kOvgbDwNG8)0Ft#iW=Ep3j|16|``-JUDb$$h|FT=*za(El~ z3eK!NIDUKZ$YcJsmMQu^Y}U495c+~L#);DCv*kHv!IeOuXV#tBeakt_xcSVHd>Ybt z(@Qw_z$Ta_eC_$dd=2J9rz9%VA;0Ux`DUCVWBHB5>Y3*&XZM`TiIYQ8-psB@+QIX{@~K!w$PC8#2@ODs;K6Hf zU65x)Vl_o!d3-p=9wV^gS_XhS$K`CpW3SU{nXd9QmS)}hAwTJp>zmLHt$@%pNd=Q2 zx;HJV0>LbJQ7r#7R4P-j0;f8tJINM{42m3*!c3M~^B2V=Erk#@AjabUYNS|!g$2HF zazD`yv9Usq&7Tf1+Iah)eyCyO{S@WeRpbIi9WfZ?XC@gZl!-L+&th%?FT;h;;3IrIPuIED7rR}rkGoCp3K*Mm%yoQ z^E{hnZ%L(j&?5B1Zf4%Q6>gpHcmy{0d|_|jAL)+s93~lPJFLRuIx0m z;HT0NHc%?svxlUqgfHFcVIS;4JqMo#@;HsrN!u0JkLqgg`QTK=k`^fi^h(JYv7}!U z6K3UAK#o|49x}tBx_Qr&B)l*_0D%PsI4A*^&p&_s;)TO2X<$(_E98krA?T^f_}#;C0!*-22)JDjYUw}Kx*T;i z>poUhH9k(Hu*w+vmQC8W=6!~+vcpJ=*-uxXEa3WgisR;%Lt|2ac!3q%+m`2w2U6n0 zQ($~d_($R>(%Yuvr!rF|{;PRWtA@Q!U?a0)I{|1XUmI9npx!Wt)N!#c7QqQ`bNjf{ zihW<{!=5fXM{mbgOxsz&`?MuyE9^w!hmD(xZmARtGpP0&YikQ!rVyN)W()J$^CE@7 ze`&?$T)jlL*`M6(SJoEPa0{t<0Cg*iK)kv_o&`@>q1Q)`Gp?J@r&a z_L2fNj_bV2K!*NuRa~=BPILHF$)HX#Hj2oNJ=y0+Iv1iJ!`61&glSkr8!IswyuAN} z({r|8d5rDKJ_y(Po|_LPYvnG8yqjwj);K3XmOdYG-gOz+zwp5hp+7Dy=@<8FFY4`J z=+Z&M*O3rm>&-5vCL$uW7#NC&pnGAhIKE5hw_=sck-mHe`ogD4bxpRigZ)O&Y6@Eo z5UHi;C*Sz4)e}2u5(=y5y@$#0_{6CcI@&#P4=PoTrnvp`N=gU1>n3XD5?!6#_YMz};rQU--6!b16x~Ip>i1Td(blZr{+qQEG$w{Uy}**Oj*}2m%1W|(j<@5M zhshVPbI!9;2N|GUXEmbdZIi~|VupGQWHH5devzDTKmj@8+<`;d#2^h7l<@hDPYV!+ za{{r`Vqc{adHotIzV#&An1c`5DYH3{NU0ajy_wZxMzMvBQt>;gtge`*E|=sWkufU9 z;3@DB)sK;KOK`sLpKn>~+a|Z1z%v1T&WdSXz(OyGKm-1sl;j;0SaASH6%24p`FaRd zmDxF>xuqN(heY6qB}6?jTj@1Sbfk>0T*Qe4H`^JSy4eaY$*g?5Jh3`Z|0HhaRH6g1 zrSUji_GaM4!mP7wy2#g+E!ZUPDX;^~KQR;F#qro5LIJ3>EGkJC2sBHEVB;nhA&-Kg zet97e4)d|qJXpjt9G!y?JCXSh_qA2ekd6EU>hqJD7$baUkv8lf^rd$|< z(mi14$>x}-pDG?Cn;UO5G3MJ!w9~ThAdz}uEZmZF2&o+)-a2Yh3LuBTvnCcH< z2#B}5dax-VN80~Z3Z}n7yZ&1Ya*%^?p9Bc66}SGw{o}pl;XVQpZvSwi;2K^A4W~H%~`dpu#b8!3ghg>U*Y}Mt{ zgXQZgx$wP*$>$~+^|e{5)y?7x5E044n3Q@nBh{&?E~0x;N%fxE39Yi~=3h={yh&u; zqx2F`z`Fsay^-(`q=F<|g^yw-A=I~O`+1~c%*=I}G2?!cq#kRC1 zc-8#74K7Cr1h0#(md>-jZDC8im)5pL+)%Fz8kn5>@QunrCY!MBpn>v`N8Hs95Bptu zTIO%T0&nREyMU$9(wo;xd!M%{NmXM&qBA@eN1(qfN^r(tA1Of|ZF0y4E{1il`vJ}?h0QGFI;Ip$* z(Z+G}-MAah`8rKSt7IWjM(?E1xI3U_sGSwMRV#WmHV>P;F;BI=puOX4b1(TR{+k52 zxcG-+PvmD@RB1}qo$qIHpej+<68CmEk}p0#d-5bio#U8ofb-F#qa-!|Pa-Xdc(3jK zJiCmC@4JdZrfk?;&EXKi=GW00rlJ3rx_66}Bum$WJl!KM0%O6;5ta?1;hf3b>bBFK8E~qd$@d;$ik^PO1Yat8n(LWb7csj+K4j&bJVx? z3gsW;VUM80(mR&%_#CUzcpNS!GbIf78#0#nK;hXOxSn;ja=oMf&h$ryNa_^4#R z62eGqyM5e(Qx&xg0E5&H)%d#Y!(pO2KW1nq^hR-=7ljaw4l;ZB`Zfpw(=*h!Ri2Kc za9}FOTG;8NB*?jq z)5Q}a$$%^$w$gM0HkWWY=mvX(#p;5<*08=uo%|qdF4w}E+*aRszNz$F+O0zUWJ^tV zFL0*@8`H7|h%hPp=KGkbfIf@LqJ8X9ylCL~iR64=<*P6gSKTZeBJ$}u5C}UWPa=;;^P{5z@}S_(Sgq!CWAP*twUX(#^vtbwsSfeG zm8Dsic^i@VOTYBFT0mFi?RsJS4d{~FjK^7BPd5d4+ScIrR>q-t<#wNhnp6M8_sO3| zse(G|WD~`0GZBHl*=iUpfyJh$j@dn_y=R7CPW&$#=|vt~m$!h62Il*uUvEZxc3ANx za#~Wp7$ij05{0UsAjm-`?|6{>L?%JViVPqAWtDh1FPQ zf3HU$&1PzE!c^y=!Gf1imbH7gQqflD!P{S*<~LNTmV=+%AGVnOQ6_-CcrdsS>=ns{ z0N<%Ae7DgxmHSy2@qmu10nlrIG%244M-K*PvV#UkvWL!g?V;~ND(@_TC13($O z1FK?07bCC)sHyUzD|ar`nSn(?tRjOO=FtB!#O|$PHnVI+@cr#PYeS-nUjOSrIe0&n~uM-9$#Xw z`!t{_Zs6i@dTk5aJY^JH%j?!yiMXq&qQ0bCn#*ZPi`>cb>P%CN@5<1@fJ-Na<_a)a zko7v~?X@K`!EY~N>#ypbu+`kGCh6eP*4w?PG)TOeS}D>pHM&dyBEd}CXDf|F&mdO? zO)fUw4A2ZydzIaRhWlSbe7Te@AclwriIh+=5vck}X2A25PYdVV7?n|nhgs7+T^or7 zSyPBju_3Q00*yrqTAugz3Ioa42mOYipMgzbPAg3AbvnK(vff^#5>J0XYYsH246MpE zP1xd=>EnzPLL9s0$^-o8_dI=hD?*!0**2!~kc%fqR$w{Fh6tM->`KeylQTKV;WCwV z=5X@x0j!08$G6@!44?Am8Bnf{b3ekv9Lz5`&HV_A6o;^5Wb1DvRU&2G$mg#I}h%DwAoH8$cIBQDq zT>LmsaoN6eeN>Hd%eT6&Ti8SJ78*q|*+mM(aqd?rmcST%s%u2q9y(zE^uZXil_c*_nFWL<0^ zkB3IEHGx2^heYp;`_jY22Gb_aZZcURW%i0Eii<>N~Kq z;@w}264!s;RY+?W8Lj3*1Ldr4JosItvbK=l$MmxLb-P%)qre&p^6WJTYsL8QJ@Ut% znue5p@x$KMH;Gc&KZ#0jnOnE9*oQoLmvX-qd8d-f-r=#g$3ld>8|r#z3G2vRug2$( zKH?=_xZy;SnlJMggwC}k-do!^VG1rtYY3gfF1*f}f%a7OgV2NBvboI4VwzR)le~=I zhm-=H3AMP2un2o}A?Pc`JU{{)JPca0%L6E(i*iALD8qC^@@0I$G5J>K$tTI#q59+W zLUquvWdT&9vb-{(HRz4tTT$z(jBO0q5N-FYL{ikj8GMd2T_!qnu!8}*43{9`iIzY0 zJhN+U$Ef<48XV?>#=H?J`2*-8|1#@C%6~;tIN;_XSX^N;g?qH zd$xuwd}Swm%WOivT`Hv$RO`Qbl}wav45m$T>GKGi;Xx7B1q=-|1J#a<6k_VIE}1Vp z3oTz>m&LVqGV=Wf3?})U)C~S6YNBYgN|^4jvmR*FT4^l5qx`39t9-eGzNgjC%Mfb{ z&;K|FQd0Z^=#g2ehL@9V#*d)q_36f=Ht!!vMbRf8R88~|=G+cXZN%*EEa1A9{+l%B zJ+*#+%A_WoVmIAam++d1Whap($fdh()mOG+(NfcA8OL+`V5R0zgkX-^HP+o!LUS&k zgUhDp$}uK``e?`>tV-Wj9dQdKj&u!V)g zjO;HphbKD5&W64F;S;0}vK^nmXO?D!!hScRYR_A7lN^Eb=uFz{P&h?Q)Ww4{DhCu> z_wMD?n9;_iX!tP;1LNb5}aK?9cV9gFy+5_I~px<`{GQ<%K|HVf>@5^qqW4aqo zfq6>nKp2q0jx+@le`<9a!RZuo;u{A1WP1EzC}Zc=le7bq0fdwJ6WO%K&FF15UOUz7 zLU7;`$3hK6bPy?9kRDj7esDY{7?FO9MJ~p(EbB$MI|ToL{NnyT$#V}fMBoWaHUKjg z=?Tbc(@-|!%0mv=82>9;$ayxZvh=D0gm=I+u|q=>`}evLa#raW>62oNobHATv`cAx zoN^(}Tc9bv^+YuXM{ga3gBHqEDPr}F)ob8r%Sq|nC)4$YrU2fDMS}Sv) zB5{XuIn8I9eO7n$%WRoKJmP2ImET$unG{W{k3+c1VQ2MemVy)l^du@0=y8Dn+y&u2 zc=xA2elHEp_wY=o!{!Y^1g_6PCO| zIKQiH7%gvIu96eSO=??bZ7OaUd4wgyk$PA<;)0?FhwoGN;IOgqRVj!sf{a0kjM*pa zY`m$q^aBVS;}??>$406^Fj<*w1$vLx2)(Bd*?7LJZSoPcgStXCB;tzy&RcRL(uNrU zh0ZN>dg=YBu~N^&6|K(Rko12uj{Ts)VHoqYV<3n~G)+i#9Ki>1DM~F%$M9l37qaX! z#_X-t!iIrg#fZgNDAPA+BQ^rb^LSLg4M?LNZzGKIPISK@m2&X?{4)8)6Ma8LhJI<7 zpWSF=a?%SKqAqtKh60{8P1IOr2bw_1C5U=)A95%`2jx;lHIPI7Tr9|@v>wcWoQxRF z?c_N&%yIkkIQf&@$m3*BoC$^eXDN9x2>TUdfqJIC44QKu@zWnB<weYg$e7Plq`xJ>tMiulNDZNjUe!1QYbA`0)jh1TP@8X&K*NKFgP@ji?mqxsL?UU@nk{rd+AIw{ z7<<0~(-S)t7U^cGmJ;R>+Skm|sqc`myIKL7E7v_z0$-0Nkl$7UglhtPFCgGM+0(7S zHqpSnUGZ7U^)%?r4S4SilY^rP|jB-27W8-l;Rg0nr0W`e@*}g^gF6N@Fi}AtHnHG*$8$+hfX$}5geUaN1 zBpI?I@vMTdNm$ivrIz!28aC7VL_Ffn1Jdxi`&(NaX${&nx*X5~<5f@+9z>`Ooa3`a zNH9J^YZ~qeN`Yuc(c0Ib0w1Hf+|h(u#okdFW=IM2t4&(uQv{vfJ=!Lu z1#P^hb9>#7x!0N!}Axgb@je@t#c8Ibmj43z%RU?tUW=pP_T1V;?rM(YlWRB z)}3H5-Rn72`sDH{AIQ`?ajDjcr|5_g?~`zG2KW~9Y**12Huj0?A+8ISpZ}&U=#BAi zL3Y+LU2I!&NT}I70p9*lt$BEUpM;Refx?3J@)=5Qs&3IID1X^%R7NIZ2D=FAFgV48 zd$oHaWoN=tqs^k3D5(ay?TefeNKe_*;rBizsjT1tJ7MhA&eQ;&iONCw;qX4G_PgeF z>>kngrNQ{WyRWgzFqh?q0wz2e0to$o9xbM$G73X*Cyk3t%!- zGYvRPmUTf!sM&`af}ODP46@Nxn)G2oGUum_vYJyIO)u%MZ~(W*X;Znw*!TFhg6M#u z+rySUgC&;R1mT%f`ygY@QLQ;X%J9!4@%IV*c|2BD(hOJ1BM^}ojxKa_H&?({$_@TX z|Kr!!0=|)t9hv#ILeeAxY1qunfceRu~&zpKU4hkFzH`YcV4A?CWp6R zKl%&&TbBk>TkhSunfg}WPRgXuf6+}Df18c5C6D1RzlMgCbLgGH@wpmj`mee%bx~f^ z(f<|x?bpzp`7+P2U-&PwDH+AwU(sKG4UMTvSR&w0(~PVd!Adn|s(T_{R=*t>@_Vyd zbr{^R1IRWuBxTWJx5KcfWn@GHUQC2T$mddvs^-!jZHif1=?SX;@rSpBY_8@sH}{Md zoZ34}y~sT`|N1pHk^1i({~YKg1Z~%BGNOUO%&)t6%O4~!b{DVh=r@PGc(%-ax!35S ztkLyMLS%vO8ht}VBNvgbrM7^@1?M`o1y>#NV82cnNQ=YDUTsS`$}!-pxDvw z*Nz=Kgu|Nb+uMSMQna!saP>pgcJ~i(Pymh}Np1vNdf*AKlpR`PL-3nf{J#k-Q+CT6 za?<@y&vBS&5&_hN&(??r;U?V-Pma?KhsP>%uHPn$`L}euf?6%xler;y*-k;>MK(*- zxLALi^q>FuTi(t%rA19ckdMZV4SquFdClk(w$`0aK<@=TgcuO;tDqFNe@LJsCw~a< zgz^|Qv|o|@r~XJ^RO$eqe3n-5#2UK$xjJp7p4N|$k?Om+2H-uOpc^p>H*TucN3W2mxU>cE%7JwP8`#0UAKkH@NE(~?ptG=#Rw zjBG)fJXNO?2zfsyWzsQ68sVSpM(#g-{CF>^Y*V2`=wckLX>kLZ>qa%Hr|Rsf@&9*8 z@DTk44W5b2x+FTl?u@Uf40zI|mjmIfsF51r^7gkJuhzF!m8to9pk5YXdY&i2&!_VI z2`)OP-MfH+orkI(K+8?o+mY$Q(0QK|k~o>Gt)c!Dh;7uj`;^E@)WI^J+N$@pEM-Mt z0*bvu(ZsnwMdzil`8GH{r<<$*hk}}d8K_pI&|Xb=Q03UDS9$@09|AOm|6X@fP2v>g z-sh(r*kTiPlN~of{#}JjBlogYt~5ZZ%Le#V8?c9QMbYQ&Cys-xE}NiLzDEh%4c-&< zqlPu1K=&#+vZ$oJfVLUg-h-OycU$!~(x(-yVo6hJwjAy=d3#@GS#besdm5EMy~N7m zL2U-eDoK)DbdZy9)}CW?_a}mEA)62izY15K+Yl#_I3%cuqycQT>)3@FnsE0@{m=k; zB44{z#z#bq6@N~EX$w*7B=*hEG|?l#Bihk1-?eOhW^38xe*(>N-tVnbihhKxlxpa6 z@~D1QSh$_0?X}l-_kVOH%nA~Jw)wrblH_d3))*Woq$)W)JUs7!^X|mUyPf+#@K%yf zQKT(x1tIhzf{Fnfat?#dfu=_$l5x?&?EsK*8T$p2B1ljIy}KAquN5`qxyp-;=MPTa z-!0n2pwxt&D%Jkb>@oEL7%+l7->9ZNZtHs1kd`igo7@%-^~$O7#y*n#;Ft4MW+P%TygTX-c<2J@@p&O_BrHx=5TM3?o$ZPCG9{!!b z#(S}V=M-xSiN3q6Jl`e9_uEYYEXBu^YW?Ri#YZP&$Rs92CP@iep;y5sAD<74{3>IB z8;O(eG%o;DK&!vZN5J5&M91oQ zFE+8(3=nFkm}N`t$AdR&{KCqNPA${+H#WA>JZ|2hle_%CwmnA4^*Dp(GGmRp!}bHL2%#k zW(1%q_=1a!u8hZfw#El1MbaN0pP#E=wHugc-IF}UM~q!db&qcg>aP)oJ0+e16JvBW zi-oP`{Nll3vRGIQVR=Pg(}8HLawG(!%N=9zP>2R zQHs{*A&T31s|r8V>R0A_wo7AV>Eu@%H7OV{B59QD^2ntjm7cv{V3gD-<%ggVT90l5 zImlK~y2=+oo-zWeJ-}Djlz!)V&b*%K>tb+e(ojL1g(J%AN`!_?x?Do0KiyDe1SxP! zY%l`3FrD%?1s{}K1JD=KmEh}vD}&tbHGFMYR610nUOQViya!$K>Pe9@rc|9j=}^4t z>?_q|#t%A`Jf}!?dN#FyIw}7l` zHix`-QFcmEt~Xm=VV0HEj0i*3h|&Ja^*z6aesH&Uh`0afNcC-2z#)Rh@{-?VDG9Qi zml>6#5B|jWcX#aoEyls%a7P!<7n0~jg4#Tnj%D8%_LznN{OGt+H|3GEA8Vs2 zBU-Jc2~Or5Xr&*==(DwCrt}Ugc`el&LzG z4F^tRkZWRV2k~94O`&_*TjKW1*%pu2&(LaF2E5AVCaP>FZ`RKI)XwCSSw?N@M+56> zx%=-vZi7aDQK8pM)Ao)KArGesX%)0np)WvJn&PKXN9H1h&@x>&#kL{=91keuJLuRI zgDtkzIL$tEomeAN>O^U9z!8R(QUSzKTn=K*-w71{ueXg zlEE>ABrZ;^Gz>hFWAA`M%K^h^IF(qW-tVh|b;c@2Jz!=+J^Dv71n+(yhdO?eL3D*D z!pyW*FWDkN#e+pg@gbCWaCnhC{mEyKlFv6)`FO6L&(JFwkW#0!nMoZpO0LGEJ}TAQ z71^xz@cNI`=KEPscg-XHYU>8UZG1`Wh|kQwhuh6dx-aTtr@8Z;_s&3l0`>ZY_>Kf6 z=_64cl8e}of%^Py)Nx7w(Wkms=zaH-&-j<221ab}pCRJ-np?-c^oP>CyT2VIJqF%G zwKjX{iiWF%PisF;t5Lr6@VY+v);wK)o9jv*&%xuDS$=bls=pr{vBq8R1tEEtvnl>%poY`$0t)_AXBDev+-{OpzPz<;u}0J9Ww`(e$_#Q) zGghSx8lu~d4I-70A7h~}uuyAagiZOC)09=Y+Hi_Xe|R`JL<#`V#2D;JWR1CrP82Cx z6h=S*MJfk}EyrV_EUiu=Y0|$^r%Z6!W>gIvMF1QGUPid?y|L@Zrw7p;uD$tJ3wXbg z&T0ls$oe+vCl3?1q8Ii}^i4>R=#`lC)vxNn|Im~hyxY>}%?1ZbM!0aK!OyA%4DLU3 z4?qcUydIn#HALFkY0##>_Cz}tObjVtCcPh=s5@Td3yT%;0w?Z{(0kO=dqRUsH*fHl z*-i3uz=yNK8tE*3=0EK|WIP!9ee1pLkP0b$3wmKyqe9Xf^(xQQ|6dyws5h(vRYUry z)_?+xd+#-CQPfUb?*8KUf{gFr)YTzi0$M^15<|W~hYo ze=O8g+!(OtBu`a4RCA>i-6DbXgc`Pha*Ugh&J?l~l4@+!>xh_+cZawFO>D~U#kMGO z=Iv%Vb{Vdy{);+Q);JJQuk+-G$uu41>9RD9n$XhvO49}fihs824aiic(CfehbFVBP zDzkvW(&=giS?Qy~#~?ix1uzuJ8%X$34UO{T8mec)E@T+tNHx@0r_+qCfMRv7wkKF; z{&^h7DF!!@V28Wb(q6`95#5h;$$C8KmyVPmXY|%JD`lF~Uu`s6{gp(6n7CS5fGB{z z51<(nX2XSn2Yl|UfD{IKJcK4@#5=K{+$vLMW}`jotyi4MBYPng_F*3yvuEJTUEXr4 ztPQmie&}N13Aph?7RyjT!@=Juli?8ad-!+i;iLWJWIs9EDti+Z@QYCvTV}==V&zqf zS273op<7RY6CkI(F+%h;Gn&=Ip$SLs3Gj>IIBwAM9H+~4k|H%Arf>Hg1y5yOsznCW z*`zF7pLlKpFAhJn&(Dzjn|aFjXD}0w^cOTa^3zEH{)Ke8R2!?Rf07lHLpb=z*Kf5} zD=E23UDO0_^n=}=P^LhiOV5vsa6}( z9Pqj7XbOFYG(1$ofqDKhKcDn}q7Id}?Mi%frVW#=jg5f> z`qdT7v;eLG+)=AJs38IEiF1^vZ>F!!Dz@fc=wC2-myT|<^H3xR&u}|5WnEfLC$%ds zl>w4_Y=>xp9A5DTP1QhB@X-jk8IIC1{yoJ%H98pKFlp#1_zC@Pt+05WxF91}zX1+~ zxd5y6oJfdng`Ef=jr|zq+OD5d$nBd4O?Zkwf6x|e#yM>H)P$+p^QVOtWX*_}BWQ&t z?D&Aqm@1=++b~Mkl$(7x&T(1&ljM)hGY&p9^HHj`@lo=4vtq}ZdL)9O@Qf2=96EwO z^pRjYmRp?w^4U^~s979$pl4x@=+CiH4oIL$+}t$UE4{~HXIXjjx2RF^9Q)-XT0>lrI zKUQb#Sg&V}-n*nfJZc1cv{h};9vv#z_loML;5h0J4x6wYw(2%~M@y~nSf6j()6NB> z-arxGK)ZoOTnuWjtd^qr>`y(r1v_BJuo-%+(|o9@;h-#1Nl z*StO9xL<_qdBy@TF1 z0&FzSzkI#7GlDU;e=JJ7Z?)y3vNR;c!25t)_|(KoJ8xE4nc1mYt8;;gT%p;xw(L<} zjT(K}TA>3!BzW4)9^30$KwO%$0r zsg_g{2V3NmNs(y*61%rglWc$`*-~KoSKwm$1n0;wUDf zZW3cDle%UFQ8XTKZ6jYzTsh@OMl>dybW}@m?aNC#X9VIYd(8ADjvnb6LDi7Q1j4^+ znojnT%@X%OX7Rdm)CfMu%pfBR+md@L7UCsJ!DL0D8VD%^kh2NNg5$Kd3)k>0d7Ccz zsCsegCnG=8YcLy%l#zIA7+xqhc^?_O_gQ|>c+CYziE)+ZRf*YDv)B7hdqD1JrzQnY=L|?RUh?imLv!I0?4INR0UIz zPY8Ct6R-br5^^}JZ+ot$FD3`6Wn%>e(igyB@7@3Cq<~%q>7O3fMw*NTPmDKkF8wT9 z&ctdMuq%o6^My-V?-Z|!mc@mca29P8Tl&>!!e!W4Af{lqIkT#~QIn+NS@wu>Fs)`0 z?82;`E-_F{OSjiW(Fn;q-%)n3yUh`BxkhZ!01{^DpMHyF#ZKdiM{-OHwQaIC2kc|& zSCA~mXy^!H{1B>zqdzlIW;?%;hD8B#ssS-&fEuZf+aV*Y0a9h&uq{QT;o0B(O}hN> zYVj`*e-i}T?)rEHqTG305QST~T04gs7Oz@M&PjKH55c)=(ynhxp#dZOJK0EGJvk-+ z@Kfs!JUP{V>WSN=3js^K4LZ@wjv&lqPEH@L_73q0#Mq`&zwx<9quT_aAlhvK zEKuyK%JI%pQ_}+jz;1=&X)RC9$wc(uBwH&ZULz#<#y!7MeiLxP!up|%o>?d*D{EY& zHHdvo++ITt3Q@UWElm3Qkv+}60k|FqqrFNgAU7uQhUVJsl*;RRlSQ2;bcLED)hlU0 zITr5kP_hK%W;RDGe0@~4f-KroBtU*+5+)B=dPF*|a6WpK@cmmIU)oFe*k?wwP?Pp7 zEZ~vVsUdFwGe|HQ)Zn&>A>~*Az`DIL#G^*#J8WE(A%JfnnIseSODnY-QToA+>hTWj zU7GNb=`$QE4VmI#BH|=IqiiQi^RjRCkp?)Wh~pUG>X3#zWrC?tvq(l|`ZlC@T|cl9 zFTzGfgxxq>*K$q`4#6LOaUliX-p{KgcdYi1%s8zUS)ptb_2Gb1x_>m-DKyjS?P_dB zBsepkR|vvX>rf4hT!Z5s!!&JPu*QbiV2#NGu5{D|8vxnsHiW~OhWqWYoDbqjV?c-# z6d2D-z|#M1$W2PHoHN!(2t9j@J*rBcngGU%!Cu|X%gGQN?Gv+|n z451J>-%qXU-Esy%|M#?{q)3hF7>k$qA}%j>lhm)?zaaS?{;bzj;gfsUe*dJ%uI z{d=@igxz}sWLYb#-Cm+K@a~NYTFUJhCG*!f)m#n66DI^uiQT{P(FY2MEYiy2Tw=Ku z&*6p-o>PB=JTKBoR;=b~3O_Awy@<)rBc2Mp`r82b>9Jo;P&;(d z?BSlYRFtxrZ)n0lqfGsS*6 z(mk2$8b3(zB|U=M-XbMYc+~b#lNXl=)`?eLI_B>Jlu(iyZDK8F^NTE16%lONoMuW5ENF!A6n_elpR(sN>b897=YGV9YTKi$&ow!C`Q5u zTcUyVl`Bni&d;Gm7eh(B13!MV86FOf2Im*UJ^wWRTnH5Cv{jP(_+gLdiL;I%&JolS zEhE+s>zfKZaB4qX0@h0lj3-8OQ|AXzlo!w(rVDDiD{;jL)xgEBp?v9!!G)SNjU8KC ze}pOp?)D50KgR=mQOAWS{I7GAwMN|Onfl>8*-y@pBJ*r;VF$VI1!6k$K-S-D8G_9$M;R`xRd|L2())ZQB+LUD(3-hlVYW5CwdXj&f$jgluZh)o(9Q zxYdWqb40tl^L1mq1s#wWGn>bhC-WC-45*kGBXmW1w`h z8S9X!GKQ5&uyK}nfZ;(TK%KkGLJ$QTH-yRUgmPT!Tt)bs>5DzX2M|?7 zwgT{#2u>P&I(LOoi?;cFB`7h~*LhKBV<=VDMOo#|>eo?kF4tjr=+|T`s!qc_r$?$s znD{Y+1Je?0w}a^hGi>PLnl|1lEAm-hZjdJc_e0>;)VX>lvp*+->Q~CjMgba0sT(TQb#)hUHh ztWCCrD|r6cP~erL8`OdpfBD^?cYqGQ9{>TIgdu441z2E%@Cw-AH}a5MMRx1{BB8KK zy1}F}7{HO4jrHP19X$rvvWOn z;3VtG>_I~%!%U!RSiWl=mL@Oc$rIJq=g-w2KmWNGXBb|nUys!PFU}0>6EZmA2;H|n ztH5)MJ(JZjFi7Bta{wW+9P{yJ6;l{!loE)XAaSDyPnv4uRe+D7LzgFxfu~0iw%AWZ zM5D=lNk^<$V5);$#t;ygN63*HBqKXVH~__O;_fYmM6#(s^qL1|mca$m!>f_Mz;j_q zU;Zy7Ims{882AO@cwzlotk(4}tvS6It0zDK;6&X<>ePSB&9QcKaw*Z2eASKvKoD1$ z%WH-yGb@OrFt;ud3SK#$WFh1FfKA6>7MM17DmIcls zA(0j4*5aciyD@?&WeKXuU~ZWik0oBG7_ecLln= zfK;BMArH6f{xrqP5+P03dddaq3tdn@a8ic}my&Vs?IOJ&_B@)IyoymhavOTJ0W2$9 zUG-EDxFjC$C$P=`+<{+N9<)OuLgVqNcA~9yensON1!Ze1oZGqXpEAIAc#2h1mclnQ zbc&p{gB?B_GkiRPg^9mB-KcN3E_iy_!hF3-zN-QDX$pzv!LdA1FsN8u^F7H_)eEe=)q^!!LmA}SS&$g@N4l2fc!Tcw^G{#BQpX=pBvy^D z|B&Eh8=y0a3twu`mkR|m2l>%vE%eLauWBD#rQ3zQM`;aqjXFzMf6M%~ChH0JGjO6$ z^Vz0y4)VHqOO-{e4h*Ko=iLkfbuzp*8sF-1b>$rjMb&%GE(SH=Wh6X-J}Ci^s+XoI zlTd-r5gy)#d{S#1;shr|vZ1!w6!~#AsK*28Q&F(&_ii&Saxv0B0jm``VX0W%I#oQo zBh{Qrz~a67u+@oz`Lm6$3ersZP?b=Tv-w)URpC3R;rUmcAE$r0?VMtz?+ik^%b!4obDgdI4lSOvvAo zMfpS>&S1X)BtQ;6dmjMidZU|?^-mxqhxW_A@x4wCnx3+U60(eb9#hO6!ra!%p;6Ub zLktBIA-0cMfK|x&-00=-77{FjoCePKf+>eT2ktX<8W3Kd!%w9gW|XDRfW9KE-2p7H zK~ywuCf)s@>$z6T!{XI;6t(AJ(B4HV*LPa97q#Vt?0Om65W%sNb4(o1JE1zRg?7v_ z2NT30)%QL)gm9uVIiSqBbd*8!_ywElP0$~N-dO%bkf5M#bc-iI<3;U_HODi-=dBE> zb*i4qa^Ua6$O68A(@GKrx%(TfE>&{!dp!}(mOOS_HFc1_~_N+M=wow*EXsbz_-%L;yLQ& zM(AX;TCKJJvTJa_QTiJI@RT{Ib;Oi$R_{51kX5;6K;5d?0JR?^cLLl|E2rro7sTAJ z$Sho#w#cLuZs=v$M7qIxXnOr>kD(+815=wud6j3JHT@uYv4!`O#W~T1R5}$4x6mR* zLbrvoY48K_-F?ibsEosJ`!}evn`AuCvuR8X1tP8HhQO_b(LW3(XR}-EI{mfkYz+jp zt;DN;@V$1CR^1Lnc!@El({tA#OHpHi8w7os0LE93K5ySYTU8fiosE_gad{sEOy4fa zcSA9T{m$|!gi8@Y!^?~Kqh3&Ch7BD!;h_tV{zsk{gd z-vV82rbLpexmXwvBiNP82}}oQII3rY6MDAE>OdG3f5b`h$UgD~K9WLkE}OxEj%B`0 z7dd@y)UV`6mASGg)j%pTSPL*YW2{*wMYMHK9G$vsoPFHBPAeSnrW&^`!uG4Ij zBeh@ajy`X0>Q7BeeyUnxn+f`f#4b(=vm-#Q)6FlrB}i6ngtejSS6uaeqFwms!c?d| zwS=aeU z*S>6RqRqA2wT0>|1qYo1734(&-`5diye@D~2lr2!49<>E^-@Yp6YT~R%xli}+4oR< z*49S1iZpm?C-;jG?Y~cO#o3rAe`s%n6t*P=JG5P^R`4&fC7jrk$En(IONe&%FTZ%a zx6QZB1wm?ba{~1^15*apD87A^)|AE%$`i)fZ%iHYlCUqs!L$a_Vx01`q8x3Cv@*Zy zu<=s;s}K|;LGVJ{AdaQFBaFcO7PYAg$9r0j0gnnJDtS8uG7uX;Fz-4pi5qZD<|Kgj zaF$rCMNzVQ+&-k1b6D)G^6^}m9O|pj)tAr!=l)`k{I?vwNzgdgF1NG!@nN!{-ctWK zIY|~L7Z1+ax|(F;!i1PQw|xmbWW@Syns1vp$$))ZH3M~(4xw??*fbXKbF+Fg6Lf3n|J@e&Wh!&y?NqxH*m5r1r+(y~7ebE{+e^%tjRi}@cDq};| z+#@wIW@)9`0Ju#q)a-LOe0mV&g@Lim06U{LrxD|L5wiJtS^eKs@et;MelN6r$4NOBS5Gz;cc zgwhOb4Sr^a{+bt7cpFuKlP;546DkgR=YJXx!_-`-|R2A1o!Q+5JXGx1_jo z40?mY?qNIF${csj{@;0;T`6{`ylQkwB{0RzdjY6XJ~ zu=J|O^Kzm-{GW9sBm*){qJ?URDUd5=jJx|}|i_Idg z*p`C#>)J9k1L-s@L5zLf){}t0CiJ__s$|#ZPl1)>mUmk?0r?X$+B_EGHr{%9?uoh$ zymQY01U&U=#174A7ezr;%rwi^QlPKhLvea=1dN=g^w<$U)MShKW%sAZiWo-n5!xGWUwCkP`FzrAH8RC3IT8<^jjDf2@`yI61zghvFXzi`W;5zd{7# z@bKv1@EBb9@(c1^O$0DuSP}m2ZXpc`X#4gV#`V%p6XVA6I!>)~ptMBU9k-C%is#GU z+dU3wU5+?$TxPqWrTP$w^_@a|`hZ9in3+gfPLn82`E_k=*J+&>Ns(RGS9ubWnAYVq zPxljbrUV;*Tf8qg4R;Bsxhd%Ta>HzjqqWEP*i+_GuiUp;AmuTLGnu0Q9XQX}UvA_u zy-=%oKrvC;k$HUPC$Mbv}sz3kXwfP^|v3OCz*{pp{p86K+8V;p3$f zD4Tdk5r)ke*$xG3WVQfFn-#zEIi>H}9JNV-w8=MWMEKvwzm#GLVpMP|P+nvvSZ z5P@W;?gGV7JsLQw50-26f>WZdZx%SQlyozLmK>AU*6%%eU_!8Yww zI^Wx|io5@`)htz;+cK}Wv)XOr=Qm^e!l8rG+=&*w6kpP@5%wmT<7}CfY$yuVZ`ed- z!`g;!TvC3$>#1YaR3yk-du>xeasXaTHhz|fvf(z6E24JTG4dkPv~m?Tx6|F}T)Vl3 zeu>ZcBHaKCS^c+ySI--vnw*=bwJ(I?xLW13yVv2CLOq5&g+;Rhe#G&-$ny2lM1$gL zi1nPD6nfMLE6FPa4%H2+=2f_|NfPvY(uq=-hM7 zr$gT;5SusN5T0DKvY29iE3sd#C2beZU#-G^3@7e27~!xR977jEC7qH?sgn45Ye#FF zlh_&Ra-1h<9fH*^v)HG}jACajFI^-ZR!BC(CVnwK{H9s*=q)hPDk5t1DY;PVam z0cMw4rPbC(-RwLpKD*1%i+Xq`Y57#C5K*POFe^jQYU4;;7} zr-o|wCyyU}8B~pMuEv_DNRBF{Pf~py!UCRM1{rZ-6S&4!G#=k0x%IGf4O6P#A1t+j zq*Swv9Ji@jb?`r2BrZVz%*THC@U3h*sBf(^;YKURwUJ6S~tFRP`DgmiYu8h1X zfD5XuD11>Ry#+@1;qY_n6_;FO7#h|cR@=U0kn#`i{;Bt-xr>}lcRPu&@#LRHT8P{t z#f6z~U3uLih3&-hCOFz6MeV}VCivnaB{65*u8eP{q^_)Q|CdQnqkcuc03SA-79(X} z7&3wPbOT~(z7x=oS{CUjE24_Dl(2`_amCcctd8Hn*!lJ9x;>W(Qle91TKoq@!gvgsvDTJy_<5$ zY0a<%<@MaL@(pUw#G~ZF6>HQf#_9xmK#s?#Z{-M1D{utW+HaLO{YC8y!O5mec{K*D z=5(9`NyU{RUvb=3_}E(gc@-m{YRJcVUaIewB|n4Ygii(U-Z1( zE!W2QVxay%bYm&{Rh2Cc!*HF?GNWN8QzfYdWS1A&a<*<1NzwW!GCGgZbzKzyG)}83 zw`&Uy6<_zbd({3dI>dAp^e@gs_GYhw+4EY`V962Z87A?Z%Nz{~jbiOz3aJ)>q;xTmb&Vc9|Qy=NMTI z*mAZ_)&_ZtIO%~G05l{ph`*;JILcbI&!9J;h|#l{MVWUt_GQno$JcYnK^wb7kd8$g z3CTw{dCyV71=nuLHuWYRm_jV0RE6CWy)R3$`+hUUAGLuHf1b}%Yi3JKfiL|=`13+0 zG^xE!z4|)|v#r-X-kcoc3au00C2o3~(IhtT#$+|>i)v#5bD((tHxXwP{nV7py@mD6 z(w*?(|AUX%o-`ke?MMcuBG4*ul!-$z!f%%29>eY_E3IDp>>W?h@MzFxIe3=z(XF~? zQcK<>Kf=MhpFC54qtQ%pOY*<|h!0EH!aCSCFP)J#$<@3A<<%1TxM0lC$(tbTek4F} zXQ5BtuxMT90AaW#*~)2_I^hvdI+GsivoNHH)2^?|q`%q_;LQL0vfXU43cxLN;kqoZ z$Z^hu$;^rIQZiu}>@R-4_G6AF=z8L@RZTSlPbWsm1P7ZwFU)K56b;dtxS%KVcU)!6Aw|8lwu5dI)*_70Nf5ZL3 z<<&YR78bTY6_Ib-5W!tzo*5ddM#)VtQ>^f2$r<8AvjJ8n0>-!amw>84un_KTkzezc zPb`#zH3x!2tLMv(?>lP=_;`8Zn1LOt)>v_I3Tor9@|9}{pArSkMEbzuVYc@{XlDg( zJBts|If#ucLjUDQzLA4--H8&VnDKUl(k{zsM#Sv?%#Wtk)9c$Q5X3O4=&||)3lN{g z<0u1#LTG@!mJ5V(go7tvk zV3ITrUgNJxkuGN&($*r)ckNoIe+8?uv0mtPeW7?;G1=qzZ#716G^-EY3!Nm&N)#Dv zqN@yw&Qq1vVtJH~l~al)CSFIr^DI{z(e`E7@wf>i$rfhg7W>-QhE6toO}?0c-B)GP zLh#SBxE|$u$6oU8-@$>a$rE%V34I*-PoD zVBf+3vfhs`h_rN}%?X{819e{K*$v7LfeQWL{NVV)hh#odC$`U${^Px#;Rs^=EiMKd zxUcTvpX)hH7XB6H>0{n`aQy>U4e)>DV>+2o{hS43B7)ivYnLj%@dI=U&`BtZGh%We zAZI+@tQ=EISin+Hfs2We`omaLZvcMSJ5MmLz!GK)Y1KV_bO1kT()VG#YLER zq&+hE5Ep0qfLVE&+cPdEm zJKI;kgmJN)lvb{14IOF$W6PR#3Rn$K-;tEkQZ&vz{z5jUgnstVO3WhBl_f^K8j|GI zz$ptPF(+kv7&aDLX731){;q6kQyhqkgbP@fnpLBZIyv~FhjK6DxJ<1=>M}x52G<)B zMI7_hM1yp{T_viJ4X9;MU{dXfJ=pz#VGJ-Lh*v=u6P(ik%B9nK*dj&JrN$#DUynD< z!*m91QB>N>Rzx-0w`wNEi#ES%Vn?~%87i||bn)K0BYd+evQU}|bJVmYReNC6bvetx=5NIegYv1^ zGIT^zLpN2Yn&T9qLb;2}N+Uyk^ewfu{e7$niaT>1P{-5H`V_WX;oe7fz8{G$L*bD# zw6~P~;O?(s48pNtViU{c%Geq9!fN+Eeen2!mgdpG?ugEVLr!cV|Cg<41fEuU_Y4&8 zKoWOwT`0qSU7~`=#l;{7aFD&AQ%Pg$S~k$(yr)B-ETG9XP+O=@qI(_H-&!*)LoB?= zW^|T4swVWaTBf~f?*0W_0pMgI)p-L793;dGX`A^>P><)?WK(2r&pJm~$3ZZYjQ8Q$ zHlkP}D7jCQeVHK96h#OE@6KSh23E7<0L=n@gy0v^hodLzJXxx({2A=qpGu;*eNW~r z$o41iL4zcoJL3(&5bHh?1ro)wKcy^%fz+z&qH~k@rK_k>Z>+F@A5moblf^%K! zh1uP~+8Cz?5Kflxw z-j~@7F5vL^v3>*{Cbba`UrWC%oBUFaJltC?odF@)DD}0KX5!-L0`fnPH6tXoH=g&) zuY}TElZiz`2XE!A@Ib?I@cj9~lP99yv$KQ2;9z(Z36#0Avm(B|E^n4btQEYgAXF=Z z+}uKu*Fe2lss(yBZ_t_Lt9XRUmLOIL#ll#9q|UWhX|#Nkj!{k_5!;@V1tgnnC1oK# zgndGk-D`qps0C$`eXEux@H>>(Y0?)@kp|g+MnjlM5eb*ktSa* z8yrnrL5Mjj70|TRf}PY$6It}CR#Mg1|_O=G*{&xz*n0Xr;N^od70@p}l&kqj-_VnKX}>H>GUE$lvCidv09HOc`{s(~w43nXM5>LI?`xcr!5E8nosj z@A!JCJYBC!$lcTNEuX)~#J%`F-YggCTa@rNAU4y=uo11;hCfAQP+|(dTBqQUnHWh; zlX4kNtY^%P)*9_qY%~(%=MB<<_X_^e=wUKu7b%_`<}Nc<-b(tXZ9Un@cE+|uT6+dT zRl^qh)@#T=GS5VoF*auoMUXbe?0i6c5 z&{tK$K%CJ9f)zjnaEvCb=}_@yHW=qO<)~?}g!K#tz-nAB2)W~zS<52SKwObSQ$4y_ z0R8siAub({)W0z+Q}xyoPQrL=!&fv#Vg+upuYlK82Z?yR4u(hY$C>(LaA<}K)(gu) z$9m0XC_~6rW1LKUs_=XtWDZUnHHBdtjtdJLa}XEZHH=zJiP(!#TwTWKt-z{<{Qo+= zi55Lcuk#6fx7@NnxZGBckibd=yhPt4VVS4Y)=Pev&>nBn#{dS0`lh7_J6=^NwWHRx z8_>{Z;-@hv;izSMR;ps&X49$p2jsg#u}0dl^i@3Mw&$^8iHsM4Eb)#+!U=bbJ~%BQ z;*p&}JztTPtHm%IY+TvnyaS1{xZab)3-t#K%98;MlDmK48Sa9$0Rk0Ui7n2hQ_T=u zoVO8Nd{^8Sj`0=ctssV7nz8_6(_luJk3`wvZ3_ZC;&4>>j>z$5frjw4w$lyQ=5g{# za(V`TTmYTLQSzf?cy{z*=qwB==vuxWgA|36dqqG$^NRFQm)VS3?9-cTS`0&TA$Ty3 zdeGh_a%%CdbR71+76a!<$`m&=O(>v>YE4|T+lc6o6O$2t+n%rcI&4fJ=NdAk!ZuP zTN@bD@!=YAF4}O^tqqh&@!^_qW|-nM93jq1VH?8M1oBtH$8O>IbsOa@I&RbCCELJb z{7}SGw!s-Ah@_iiRLf@W=`C*7<{(WZqsb}Q@w)Vg>luA64AaxV<@pUktotI<{pj`m z-Crgi%eqM9$2Vv3C$Av3KAtbjqMY3-E3{I^3tF|Cx`~O|;?7mE!{ifr)Y1jutjU)1 z6#Z)Bbd`>BAj`7Wd`~?GXF*C~0b%*cHQminUURwx_+Ql;{#!##Tuo4j$*?7&pNrWn zEpXq#4+lMXb!yRK1-=1om8iZ*3y$OHyd4bTn5+tla-_h(kD0DI6(FYwgGeR#6u^?; z5xmXn9y00oAPmMTT3|c%H!C>7MW+iycSL*OB-z=p(ufP%r9&X-1dHEU-1yladC+RFD#?Y(?|s^@jA zocoYGPhthd2%finLoNf+i%eBS84SZsn2w?l`2QC94%m?MgeA zt>46B2tgO6jTA$O-tyaWCpi2{r)m=JtDoj5{B!pQ-4X*>TfIYmK$DL|3e`Kl&K6OL zad|*!k(&2N)p6>@Xmarq#|rWY&$jpXVvAhLigZ@)LzxFxcmhsm%Ue|wi8|pRF*Bbw7W(w)vqGJR#cuR3wgcj+htC4>BvCLO|<>^q1-K1-h z;ujKj+`{kmBpYk2v8O_P*P_axdIVVY-0`tAS4{tZ+xQ=s0~< zm)hP}`q?9BH9S+agZSK1Fqk2=^MDgO1IOdx!H`@qf9`vP*NABtr(Qry$EsvY!Dj!- zt1pwI!RhJ2AV~|g@E#noz>%c4ZUB$wYGB-|*ITEWNC((AWkA`axWEN8bDjEU(nzAWxHFj5hl+;(U;54cD2&puN>q)kS)DpNXc83L@RH z)S2hfG>07(XFJhIe_&N!&L6Zq&RRLqY`a}JMUq$SR?x*DEIJ|9QA#MYlD)b;hkn=Gz509lEiTL^8$Bz>j41?UOR!Lguf&fcY9p|tXDgYhA_x4FHRBi&+kTl9R* zhpKw-BhvdNi4qi>Q6rhQbh4_pJ}uN~c#>{m)UG9azNSK{Nzy=O4+{buyP!cPq>k-T zlux@3!Hh=}SnwY>>0s1Ww)ag1It^QmK9l|Y^cn5uCWqmvPCa>sPj^f_15;2=@&nne@i-T#XR;gmZu*^-+Ry&pji$w|Ixw=2J)V2EcdLBH1^3XEJSEl#QCE zRc6l}O`_OIA5bZK)*V?c-ICx*yhRPE?^B)tS3s!0g3PiL#x$-qVg=S|Oh106Bl7;P zZxJH~w`%i_JYyoS;%MQfHw&@C9C6@5A;dbifJ`KOZaMFgd-Y?Jdu8=_QX3M`OIw)X zlsp8PuDq-qozXrG`n{I?r+t2o^hM2+zCp&br%V36|h`6|CpSyN>s zT}8XD+>DhjT9A(WQodr`0cbXXh{MthA~8EYl;bj1w)I~6C2zyAk*BlXjy`i?auFlP1ycYKbB}QP@{>#C(^0&V$3ZvyR@K92;nyI(Tcs zqdxOIc#G&)ugo1mBO3BFFo4ibCZWqzDuI zqso`O%u3r-Uwa~++1}VnMAuTxyD8bdp^vE`^L(ot%_NHAI)+r;dvWX_EoaSW`@bCS zSCk4KBfs={>m}PL!tKD+G5h9&fGv^mro#t1ahx4P*8FOI$LPyBq*cnOB>F6O?FNz> zy&hSP#wg|rE5ZX2S}k!Ez96iyg0-mc;oUR|qy5E-iMH3hqzAu~%4h08I1>RJf!1WM zk*Zvv4^__+DjFTiP@>x9>b-8Q(rGNpIxLj^uFeSMTAe&J;?SThTkNibMA=>g{O@71 zqJ8z>|DL24@OD;7D4;FX`w)zE+9)(p1HhIC7Z*qO;qC9pHt3KBSeI+Rks)Aj8$*D6 zLm~@kpxSH`VGUTj`tQLn)I_J*l}a2BKjdQyne58qR$1#~I*9Bb-R^os9%HoqvDRvL z5IjWp1-@#J+Qla)w{5D^t29woX}U751wWUUIC3=GOTLvjI3OT*gfK#qaR=;xqAAc) zWxEs;qh3!eNasieI? z>jCqVNW4JiF52j=le()y`uhS0JW=%S#qE;dvEMnxky+-37hqElw%M`n!eedO_px2U zX#IzQ`0m1DY(Ie7?x`vdPz-82IBAsH73h7l>O?dY_pPQbIqFtxIJ=6KWWSZ-qF!&- z>luI@)W$I>)sWgx)PP>3%iH^E@QRk3BQVJD?it@~1Nr%++>8LW&bN4@<|z)UXKFn4 z+@Nf(wku^S<}+_=wH%Z%P(z9?XsWVd;dZCWF!6BS3n=^Q1(Q!hhda>{#OkZjutRbGm4|`7C*ne#`FRiC#*P4N! zkn*uF^yzVnvA_+oC?6l~3_LLKS=9gN0Azj;plekXd?Wjwn)_6Tg1obrdDDOm zRVQ4EbfMJ&+=cXm@YJ59EDrf6e?}L;u}Q;$c6h$U_c7g+?kXIjEr2C;``Y|>zt_MT zco`7CqGO(D=^WlbwPES=x!@Alp>5x-N-N)EVJ*6xQ(S>BY@=BLFPj+wbHwEtD!_uV&jC5p1Fxre9`YBP{Ei!({kZ`vFfI*wA54AFkLsmVZ}a|nDA(Dt~As<_}FB8jKh?;2-EIB4Y<~>O*jp>SFZr-xGRz@JSvz*+5yLZpu zCfF3>Bzt$YqK1eR=80tpK-+^-{;7av8M;LG`1;k>eNJ8f_kIK0F1}U1tW%v|qpUt`6*o73(Aq+f#2; ztg0h1=GLQ=YTMxvSr$(I@lYkqm1 zX99UV1jQ|AJ}Pe+^vIAU4G&>zYt}feZ8)^}S}AvU2ssjUvs%2Jc-`_M{9)zT>?yR7 z%bAv1D;!w^m;@ewUAj$GgZuyeUbAS2FV>+tcvV&oW!^&VxEbhDuK?1Se@hqjq0e*k zw$aggO)J7)Zd2R1y^}2I2zqQ09_yGIgLDvOwE#Yh8^ws0XO&qbwN6 zP;-$MqWA~Nb8U@tA(+ZoMLBIb-i=*H%TYhs)RV;br!s;x+Q+dbY!#L8=}FW8_zZ=y zJ$@RCr89oZR`484da7IIH|d(4^vXcI0XCVdMRJrpOl~WolyO}a8>&J)qzc9J2p>UF zJq&gcwI_`m(ShU5NG;YPdI3jUbnIwW%A<$3+JgY_TLGUe>eO578eDxqY-NuI>L*mAV}dI(pmpA? z8ckOX6$7nqHs0U~01IFgO;+!Vvm+DNBwv&38C&{wPr9YyphCw-N<(!^1q10i2tY@< zqtrlph(qcjuBqGul-8m}=hE7;#+Z}r@bux~*+Y=(+!>4%(plK^{=@NRrDc_y&d`gp zTEme-T~X`vO+5#QhI($V6>ih#OoF{AIT)Swca&va2(PkOX#8~US8HWv=P&>QH-_#t zBYo_g=o%>ttpc*zqZU*&)@Ow5j3ZuDPA<=yX!Wsm?9D)HIdGd8X!HS8$K?x!GPPtD z_#K97y_sN01|4Ak!^a&R44q(RBZ@z zVs}c1)rqibGCmAJax`Fc039V%HU1)&{c1IJ1_Loz1Gy)*O-wWO|NymogB`{8j+Fr*!p^J z4xWWsw-Dz-Ov2q=>sAs#EZu`PtfOwY)2?w=6BOv$cK}OD(Nx`O`w5YrIk2S`q?N%H zDI2*2cSDYT)^wbz0d#Bf&i0dRcDq{lVqQmYowp2iB55Fw(5FZ~ezO3@z#{81-e`~- z&h{gLJtlN=|B8l!7cl~bUB>$1sm8R9hRXWDn1^&T*DovxcStY-kL%1!$0T0#FW0s23+>OXsmZ zB@j*Ob4FX4Su{+RI#6 zN|aq0&VCeSVAzrUZK57m8&IyAr^U2q zjdQF2(pMj5FEFzvEqXPLDCZ-gQF@NYAuN-PEkZH$us%m;at275D!(>fDFNNfxhbQ~ z8m@rebM_80xz$2;YivL*@LY!&ao9~Oowp2G;Ht@lZ0o}VdnE6u?P(e*>{mi(96uP* zbj8H1hvZUeqSb_3$d?EA* z5yGrfd!I}^O?`xRYA)}62 zqgQx}fkIN^1UbKerwjjrf!m5l3rw7{B0)fa$2u-kJa5@7B#NlzHK}kuk zKV(q}oHj5``!o8XS8JEB?o-}rv=)~2lz>YFqI!<+ID&*bK0Z06^JjK;emoHGvX;;t zsdCw{HX>mHQ{PhLku`848bs!G(c~i>&}xI(Ri&q(v$ZzupkHpSXM&8WIfArw^lg{Q z?%sUV4BR82o-t}uNgZGWOog2fGy^gG-WG(NmR_U6H8?F~;PTghP5$o(yWR2(Akfe* zz{G^%tblOlWG1A z0EA2R2ke)C)H1wEz!oUZ(du9C)k00118W95X6lVvo1*UU@$DFLg3##%CnM*9{Rq{H zF&gyD?95nJY{ofiPJWwK>YJ(yYMD$E8l(UB$G+UMXYG0_(_7FKu_cOFWH8CoQc-!P zXq<0p!SXSSe1gwgT5}>zS&?mKc_{1!ZIJB?PrscdvYV{USZ_u|NS?VSokyvTRTvtH z%Q%B8prh$dliThTGbMLN_zF)SC6DPsLj(B94h`U<;tk-|#T!AaOj{ZvO6brSQDj4p zD7z`r9WGH+^13Ql^V_!WQN?s<4vdF}vYm`>H!&A61iF#0^}kF@geZk5q!xJ5)**;9 zqRSYhc6dxC&Kowg#7Uq3tJ_kdBQY8$7kaBsYjbjRq-ZZEdRyUt2uacnI(xfkOV@6? zbgj-^*(6`Hh+7AWbvK8GDT}>C`9hnPhF4i-xFeZ&Hx&!(4=Ezf(HX>W7ga zfT^0}WHSGHU|*40RY?wX-P2`t)vIOs2zFO%Se>=(X(;Lr^x;f3_$hj<2dWof|0<|P zBE3~z02qM_b@b|s`h5;aeSqzh>Yqw?D)1iegH+-IfiNYc`vFI1p5oit%p89Zf_uo= zc>1`wFE(RLwPN{3Ck4c)@QHa!bv1^1EL$1)hst^lr;RztI~!NgR`qL5_7=z}_A=G! z%1+bgmQts7fVesy?9%F1LkBjP%MQsNsy{|R216`Dg+@a8g`ewbhY!(KJAf^n zWy>BiK$feOAg7p9n%Ui-#i7WLZzo|B-HA!h+aW>FTn|F#O|(#W-BYE6k%RN;J6l-q zv8Jj5Rv6b{bEa!|?ujP33THJ`i=kW#%_6yrxEkX}_rVjC(HNY8adR76X#dtb2$_!(` zv55FQCBOKs`k+*(uue=-IJE!t$8FF6FY_$myIL%gCr|b{fJSFE_zm@-jt)pSkY}0f ziG5dlkX*XRbih9zGr5z4Hkf83fbD_3a^6gt62(J$@3GCL4%yXNmLR4}JxH#VanB~a zp|LNK1X4^^875lQ))j(1mNAawh!iZJHJSu;Ib%tgg7s#xm5cTaRCLbyiGUrn zaZMwl+{38t#Cdk)C9-bH2u00Rwp`vqP_aU$8jfyPQv54meO{ERt>6(NeT_<=*(}gD z&S54NLK~8ZbK>YA1$a}`R#pTaQ35>ac5EBox9K9Cr#+PT9u9`ryK9PQWEXTyC@|s< z2H!wgfCE@9&%k`)$fMvTKPQuUDJQ}g{z){&9aYm~7+ze7aj~WaS)a$sWpQf=vR#DNGtbS+SSd%!Qsb}!TwEjD z9XtUJ{G{lmi<}vh)H!vmM)z;8-mLkHa{ypkhE4q$qH`%07 zR5bZ)>jO54)W`q2sIM=Xn9=Po;X+bP#G|3f!n}d)66Cb-q&KOu8wn$iqrEO0kzNeT z;;%-yFJy(>4*UXypPC(0Jg^oMbR9ay;fndB5o(w&8y3R*u%{`*HXBulJRDq@C}|hu zp))qqa1eSBJ7R3q^^Vk$u&luwqc&PKOR51BiH7jU?_#J?9urx-VZZH9<9=}bOvg{(H3q%dImv~2=Trk#ot zf6y7`5KT!eV1;p~EAFQ5s-*^qp@V7`!&eg`m3#y67$9RL~!7OfDAoxHrLuw(qoRh-`!{15< z$LDmdF>S{OH&SQhl)BiZ6Ci55fQcCu<|UjRf_+RL^`cciuQQt6u<)i2e&{)H>s`pX9GhTsHZ6&(1rWWHjXo2u7(a?|O)&!0bh^5h}<{I#=+ zve+S?9pmy{C`&sDXIM9RpuH!EEPQtXy`~^96>cnbY@xw5{WUj`?7XLO|cL}naUH%^iSQf=vN(|q~;PGhF$97EMGDX7mpMztGd5i65Q zbMWsj`OzA$zWWOw`6OTgtup##EO-GHR(00S>xJH2w&G-6hN<8T-<4`=v%FcC%&=(O z*7z^jg#tlu+xT=mMxl+FMl8bytLnI9yyP2vtJnNiUpgnguP)!b{!*V4W!8%B1T_uS z7s(-V0Mdhlp~vB6NC&q+u16C3L!c-*$<2~p+%{MUBbNQLR9`zZd+_0!J$V0S-~COW zYg&+iva3zFY|+aQ@%=al>W)m*=$ml!x0q2mB^M3Ob-dNx8bg-SP?)I6CBgjlXHmyj zgD+X&?M*^Fcu}>)yPWa8*k+IO6%_*NU7gRR z3Y^5W9!w-KSHoEw&1> zTlq)3#n+a!!W4$F{M~lkh=~@+aA=J1W9E_2!FHBLvVarO;rQB1lJ({rKJmMGS|BG4 z9$YC-A-epjxM&HqlEJ~D1u=(?cDpzG02E}YV`aKSMcC;8t+*u)Gr48(oXk1}=(qHw-#qm7ExRsE$@NIQ&pGfoNW9 zRl^VVQp4uA!T?c+&r-`8EVmiei-O11zytoZv_+XMIz~fLQr`uzP3M$Y%9_iA81qgALXKxkd6)vaQ-SF$g=mQT z{h826r$*2%EoE*|I=TD%AL*PaMtaK>)V)TOk0ynkL0~*zWuS2o4Rq#2weBRgHqoHv zljJ5-ZzBs$`k?Ql18n6DSc(ssfzj@^0ucle==E(7?!hO~a|Hju$HnQ^zQWd&xaDj; zxBfQzw_i*{r+eCd?9F?ZFVs1DlBalypd0iXTliTH29BnGCb%sQmV?9G0wtwc> zj3wmTR@iiW&){1X%|aEf^LJGw#~9PU`yP(|d6uqS&uydyaFbS{=Omw-e6a{*Gu=fd zU1nQLhMO4hE<^aH_!VG^;~d_BJ&zAHg6?7o(yYnpxDB+YgbHi(JOKg>N_lAzYi>ha zPFaSB?OT)@47$1MQ+307Uh__Y7h54`nwxI1__VGc)HQ&(UuiiV&~WKZmbFiPulq(r z+YpNe$J;htTsMCEIGdLZD4ZLX{WPB1sz|Y4ZMq24Q_MKAHo#*llOtDMtNbkqO^#S zBEPcAm+Gdr$I zkh7UCG*b~1(~C{Wkk;d3gXzM0d3Kv>OT+(~Rds4ko?EMXXn90MZo`!=pOa_}K2>!5 zMou;B3?-T(XhDyB(vTt)Ez(UXk8U%VtsL@{#0MH zLy9RxSso$@b7?4nV-{WOG zj#qKJt)SVfY?`;rU{xt$mTwEr0Tb&or?EiPSf8!RO%<%UOldfF=#3ZrgBtc@Pg39je5VsbgkOfun{(kKcYg2}p`Z^t(%ZZKfNO%r`8cyUxj1CELW~>3zV-1Z4 z>I2@f{L{#smIUWA+LMUHo-x7Ov#s^`FqxXY!9As_n(8v`@TVW&{uvZ&suBae25NvC z!*OdJnkm!&Uq!XGUKt_!as1w4OaR&dMCNmh?fYO&u8#a(LGx25E zMRS(Ln;1wY$q&6HHEn%@`{bLb|H&4XPSq(jPI-p=jWSjD)lX!l=olSyO+>w9OS?SW z1%Fo+@B}pBX@#+klDogS_%b>io}BCtiGE{$EFz_J&71?VZ92tC@z6RPA!9ibO?YsY?~DLP9Emg0TGt~{_9Or9ffUe3|H zz=pwV&eaF2Nilu$w<*{tMwiQ2i?RB&muf|i#yv*1!vrUXFn5RB0w?cje$AY-X>OsF z`UaD8hB+v(Uig8NEs7)|4{8Yl8%e27!s7roWRr4wJ{%fo(KrIa7(xTrrky)dr=d(C z862t2P$FEeT0-|BQ%JkL?vyVyJc;_4CUkP5vxe0FsEK(x8q}V2WNHtk6B#)LN-2ss z$q0NcbZ-s9$EHGWp(4|&WBpvGHU!d(U=lj&iyD3n7lE;a!=F=j1~to%Zx%WHbNrgc z&f!>DWGSdUQ|jC2_sBd+?`i1eBo>TBu^KI3_~i7yk} z4_vPhPkuTZJAwyxS%-MTI^L>dXnb9$@i_cQ;|{48qi(&Rcc8oB`hZHxLDsSstg}As zX`)xV8fqy~`*rL1KN}2A{I>Qb=-v&ndCaQ|^>8o@1ebM{@k&S5r5dw(<5|aA{Z|F4 zZJj_r!aW9`1{$4}bZxLlJ=ycu+bmIE_b%Rgu(6CTSzX|}Dhjf1B$uiUVxiJyq^u4EulT= zGR4TsA>b_ry>2qZe$f`s9sp`zlPobo0VJw_KN=F6Kf}%4rTy`p23eF$w-bG;7G9T5 zaxItO}s-p-ZahCIXuoZrx1KE^RxhN?`b*LqrnhV0MG!*;xb99rE9Mt(7Pk46mhXR3`Cn4UPT#d%fo(6;ApwoM(AZjhU-M*N>Fs950 zSSD}Op0Z2~86qeU09^@X`&OD@U=_sWjHkc=mqUs|1wAf~d2g^pHN3ZfuG11-s~SnD z%;BM<8EN)AJ;kJsJ8YVr5S*H#Joa=NrCkZ_YhJURH{XSbfSV=atx`b}uXO-xdX2Z( z&rsucUSu~mis$5u?9960tjMqc|0hmP#8&NP(b)7TW7^w(< z@$~VRfSFLMyuM7{62GI~OF_L%>k=5hRn;wva?H&DxhogkLKbo5vs)z_a4mbO2?uA* z9x`>u`MVT<-c~%pMekTVKr`wydHw;K4K6EtVaXT5LI*_|Nc_WG85>hGr#RvwJ>O{h z&>{{Cte7Pa%NKb0f@Dt#%D|HJMGxh(tTKSA zt8eIhS_$#4QVCKYq6qdx-CrLKOwpmRN~vY9Q6eHp$_RZ1zbuJJ2wF2B0xZ?ek;L0K zJrDb!JICk=+>d;28&i0ff*g&q6)b@i8a#YR~upg=&c? z7G4GZ$kK=skTId8T}&|cr?XngE&~}g3y!rz=~$|tPBTr5O|OdLqUp{kE}gCE8y|-c zN9PX@&P0C6Lg<(~c{d=16)iB#QKcTUVptGQ(!9UwOsV!0! z3#Yfs9$VLCQ?&k-AX_1Q2OoZZ*}sdIUZk4 zVBfTr&XH?~_|fXJ6*LTC#3P}UqQwrM3 zWUT*;&m;l-zf31UF|DPptOfUPOP5&&vIezkPm<~V)M1f?XmKT4uUSG2`?j~Z&6bhd zz(J#aKpgdc(!=0dh_b|SX|y(aoZH%~FH`=iy^$T?X=}~kq)BAW@`c0`K7k4Mr}L$5 z2;hU!HH}P=tsUIGZMU}{$Ya=30eG)?hJB=Zh=tJw+GYX=v<=1B;QPvnxI?O-s9k@R zOo4q;ECCvi<)-_k%PW??vshxh*0qFjk!Nocw*w{tG92l@Bn))e>ci|dLvn@xGk;4MdH!HFk***7RE9_^K+j0X3 zX^A2k{QM`HXii6OD6oV4No{U7bmef}I&i3sagZf^a1P0VgjE-dO zSX@Y+1HBl4%*<5=CRYZzFG(UHOjnSJ@m0bUfB2pDr*zehJb4;GyH=7e^&#~5C_z3(cd7>#efg__3C@APe|*M-4%iU~q*Z zis&}aGa5V9-3`?25O^SwaAk!eG`59G~|15d}+$CQ!gn1GI8oB02U#LP4daw!6zAX z3FC|>sxTNa2O${S{1A?d$z(vD7n|H*Uz}Zx>l5tGr_nynn*W$S)JU3!!VeM)P3|GP}egKpt%C3Z$mw6a1P( zy>UKYlf~=zg=R@jO56g)r<{eGp4zT;0uGHuS+7CO{$t`YW7&lMix-bBE(SqJy~qy> z^0)g_gm~C^7phFZ+mCoc&ubXWdGjhny*L}^EntSKx0HCJ9Se{3uR3SJT7z$RzK8K5 zZQZkBXdUM9Rh%yI>`aFZmVToft!farU{9xaFfTzY;_kR_iO{%O%@7y?C#?KBTjmCU z2;MfF%C;HWo1rGslnFh&zMF>b&<2g40LbKW`zA3!hj9{AqTbDwj>E&(E5HRlSww;0onEpPOU>lEQvjo9SHr)PuxH9{J1$owCx6zDL{1ch%J~RcFsEQfD5ht3N#CLyNq;2M1|#8eRjy8{SIa^w#pPIR~0= zF?dwzGKRm+jZEfaCbVf)ez}YRr^@;ms`5A*o{bI;tEjZrlTNo?9gZy{BB}V7aMk`M zgT_xEMHsdID!+y~oxF)q^T*H?2=9-_CFIIEYB@z>z7e%@ znuvbCvhu(KI=Zfl?8{GBD=OYqZP6{QRyDR!AdxeHWX_S^cx>0N(&U=tDCb*Wz5;&J zlrx_6Volzx7Zu0cgFn|Ad|%|nl-$?8(BQ-w9||I z8Sd`KyOLbA;c~i>4A<=h^|Y~?SxYM5746q?gfpOXu!jm28IeHIPJTrWp(kct4S} z$+~T9$+BT(Q_CZDCGxx;IR7--@d#@caQ`{W}?Fjs<*Cq7+Xh>+g3rrA`EA2`!Zdn zn_bR{t4B^lPt>ZhL_s;VUf$FA$r8Jd-EGkgSWv_h3`W&#JatKM=+&#GK}28<-BRH` zH2xltv6V-A_Czz>)@!VL?0v%@iaYf6~v}`dnzH zt}uYkyq6j|Sy9IHt0_&5Lss({TAJ>t|INj-LDb(y2nkJo{oJ8_58GBwOn%&U1jog^CSp(^; zsP}y&14%bX?-FV*9@~VAC@sLjI^GcR3wC``AP=4_DT>EAB?0wplD2aL1jUs-Qszsw zyov6Z_&kXcw8rS=Am}`x1yhW~TE(v23a#WBt7IYHtdm%CaoV{zG0{F zwYG1m_GI-nfxv5C>4?PD@C$%bL){3^$hM=glr^S?8=axCI}WZh2Jb$)YIeZYWA9sq6S)YpIcjwU2HIlybI}=Nv5ofQ&%s9}+RmljKt%*1_Ek71j7F;8B znwUIi{R{dvCcd8MWI)!{Kj|)j-AbO`X$sZKddKhWv=+`3D zrQV`?NR3SimH7k`(&AD*My{R+`w|%N+vuO{iutNNteSjZ$j2FJ7&vc=_C?Cvx8vE zzACp9g|ukLe61StTK#WJQ$7POvglQjzIpgl)h{&wM!km_eAjlo zpBdb}HMf74vV1fuus!{DgAl^jV7jNxQV~&ib9jLpZ>yeGCWhL3i|rEgeF$3PxpooR z^?;~$fs{w?yKYEs(EcV&3UqtFuj8B6PTP#?`cB(>ep8*sG_>H+gC+5h*#uJ3tlNc{ zS#+)%845*yJ>7xfn)R4!X~ty;i#6|EpS~N+>Pfz=cso}k84b^m5J+_U9kE`ptzwz_ z4X-egud(IjQ`*k}SjNwml2O3}>rpDQ6KA2C#8G8*BC=04@Etui(-rt?HU*vQ44_>? zf^0LKr0a^?kx~;S-F9yhuZUW*7slln#2#{8`hXcVonmnkmc+d4#Z8I#m@u_9FpG(C ztuX!E(~6FsOY`dyF3e^~Mv3g<7U)bUaXOE}d2k;*zj*G;A-i?O9Cm=}!=Knm21h)E zl1ltI_Qw7sfH#^)V-wPV|6v=GDu;a8$q(Cfjc8>|Mh~+@L3A6k(8c+66kQif5RH%0 zVym{t#cFG!@N=FLIr(zGRbM=^yNe&pB&&?3*ExT=l2e}2=bLD)F5essTw( zju#EtQ4w>E@M>U$159K#gwW58(lK%?f)1RNJqRv;kCoBzM3c}z#t_I8_)-}Mh3hUX zB?S7Z*#>AMp>v)w9~wy{T(K^Ba&`P5?gr69V*8JEV?^~rw0mQ})N;oa!X4mt zOp{WAdBLX=k8|E)kWXDt&zJEuNmgn`T`UT<24*(RI##x1&YQ-KS}M{qh-A>eA%_;s z3WUjvw}v;A_1NU!|1fBHdg%;7tv>!dcDFz;-lz3>7jrYvTPw3zB~6*uX;IA1i)Xwb&rcmd!PkybtfLe4?T-sBr+yUR z(u;3qIPCPm|h}KBgfBP$kY{)Xh7;kV0IpY!J za;lS2!S(Z^K$N1?m{wzj05=l-WY87)7VN5WqU^Gg{ghs+6DhPuRFDi08I=(fSuHLl zm>2~_4zsYka#Ak_RWNO2=(7Twu0Y+TI%z1MOU0w`MYO{stsR5dHjOagWUJ0N3G)Bu z8x4to%B$KOC5KHcRg%ZE?Y&isWq>tG8XSV0#1e2Y|1yc&K7lK-yz&^P*x&nL7pO#7 zd#DK~QIX0)Asl}KL%Z9Me;`O>01*yYM0iU`wdRIk9c4r2gM2$u;hcigl_c^V+UbSz zC$z{^Bl$ZNX+)KrmC}<`5~I*s=Iwv%{1I-&TcL3lC^fAot_o;5dC01=!yb=Kce)Z(~NX zD%VaB2$>g1T5oxEG3=;Kb6&13H@AYs>J%q9jxvPhMSBJZHb$ExaR$d%zoOn&r3*W7aBhsb*y=cT; zJo39Z+O>T8?X? zdS63uPaEJnkHFckBXD+4n?^aKIj~CKWi>s~yW&aRu6Vv{2hZ=&!8^Z(J9YX@?~`XW z`{Zy}t7mxdkM1%$+|}+G-k04|{jh&SBe1JkG#uTR<)=Ttk^lMaG7!2OyBa{l`!j&5 z%dtAD{c{yPA9*mp;*b(X*_vq)lWd-n{P!pL7epzoTgZCrfB`n8gq`Ps(uGJ>_3tJ^LAB>mZr$;2^qOL5xuqa}cf8i-94i z0rkzaAaH3snIuaTtt4r#1Gq>JKeUgAm6A>R5#(QB8&Co(ev_`YE4tv#yxX)rF3^EHUKj@lr*<9X5|tUN+i@C9iMBveue}cA z0cF0s6o<)XwoKn(@PN4*qL*~dCKFdOtaWs^{QmpIs$=)m1|YPt#US<)=NFUdtiSAo z!(^z;1GTbJV)PVt5M98b?fmdagU{!<4#h!wV&-s7Zc!N;9tgf zt$agN|e1}O{yA$wAT)Q)& z(<}?PKRJh~O92_6IV-tnx&Rx&66k;Rt-@9z3W^?!?H!ku9^cf{WaI)m4*&94ak+Gn z!KGW^wid}NO#JV2^{=GdNV+5sQs@>Bl(-ti5H6py%MdTA7CMB(al#n~2eI*3oxzf@ zlbK5#)TNz~XZPU1rEeqIKha1Y7}$~^Js7%!bwcB_nr0t&EcE!`ms_yP&d=M+oQOH< z%}@S`71P`?W>-6+>JSs}lDlrUtF_1N3YW0{WHzI$lG^!t``>=BqbOL2yXG}m6%e>Q zGd%ybYBHT;)PfadQ{?HU8(pQ}T5id&qirm>Q^c3z|nWM?jSR3t-?^Ky6qNOfe5x@*SwBd7a zKQo(&x^15nMLCxl*n&9Ah!Wfnb*+$n>aE?}Mz?&09J0ONkxc@G6UZ~Ge7C@*N2 zFe5lf6F7XXVRbxM(w=`PMe8xA4OhuJ-TFOs32>k`U3H<(`vn1(DRH&jf|xv5zNEy8M5o#nx|&edw`^xMv)QziIF7kw#CThOM)|Rt z=CLQ^98ZaKFV-1&;U;teXi7o$7eOHm~AP@2jfl5iixpX8D8j$ z>wU~1Ugyz9_n-X%2oY>lNd&&5Vq__hy`C-2MyX z$^iB-v|uHTQ5eKaOO#3e#tZ;_TD3Qe1Nl6X<_O&xHMMDKGOPisgzp3nLO|Kb5A7ET zCBv@rsnx}7s*@iKt-A>!@#*6rt2&D_?6Mj(`m*_Pq>A9&>7d;wYoz3tF1SUL7^Kb$ zo07~*KAkoa{YsuF7qm|Ar$nyzX){@H5bjnjsZOHL9b*f((wb7_V70xpgfwt4YRmW5 z%OxFn30$gee(_2YDfjBa$BZQ+?~mtdo8e3gChM(1X(83fk8l6e0OO!VLlW;`MJKPw zuPZ6|3igK=;kn}yzI)J(t(I(x}C?M$}^edDI`!_ z8(rp+BszK3ndGFQ7jV7{_kvEGckTqfgRy!=rtx@`+@bMJ4N&v+fBGQA-&oXW+pg1P zz6m1Fn~?eVR6S!qmdS-#&dxC0SnPRfITqT}lxZl-rQf4%DI9K4Rr5ZY*xiicT@_a= zHdg>{o2cnb?21BJm7>YgmD6gG#B05v9dnJ$^KuW!;$0Ur9kDy;mL!eb1lmXF!>hjyoToE zI0!Vk<4pdSaSzH&^y9Uf8i~$qb{L6b6WD1{3UR_il}}mOyq8IxVvYZ;EfP>HFzHh| z8JRBo+(eB;cXeix%RG8Vnx$MXcH6>k%E+;Vh<9RLfD=jq_*V6734d;s6zpOQic!d%mAVapqq2i6qIs`^iJyM%< zglMI#-E*#e0|Re9$vtzPFK0M+RC(wl^e`r|gD0sWZ|}#9rij(&m~4wmj?vRPe&4!J zq2hY79zk5UnHvH*En%TY6puPas#!f@1}Sz6mcYy~lim+P3NgvQK@XfpKZ#Dx)c>5G z!2cWr%;`*9g6gwf6E5hPUD(FS<~reHmzic8(LAJE<@sD9E1?8z0NJ-%xBA!#^&5ex z_Ip4jIps_2JIRRD_=Wld84Za=GG3umT<8Zy@HJnr<7TR)IAZ1 zYyzV%#^ThW3kz2>@+HnlJkAd52@S0+QOU#(>^t!sGmIb4)yZ@Yra9fH1FaaaMa_j} zGB0Z~x%-b{l4G+d<#I22qOXkT%HU&Xni}D!b)wEH%5*Ci>W~f27J{6yC|+-U*>kXE zZZ<~LNBmo~z8pv<%uxdy;ckNi_P*+OB^i~u2=OU1=RlL<9R|qQ=AjBT(cnGTc>Bk6 zPIFNjQl*?H#HYd-&ks ze9)^pEy7vwrrI`dd7b`1Ky{#}MJbIofj`tQbnJPLcw9v2jI{t@`<%V8Yoxf09NFIk z7i^XRNk}06<`feBq@kFfRLkM)`kvYndoqO*grG9DN`cgr@mf3eF`jIkl6532HAFzTN)NJaT6kmCx|>e!O^b`PjKOY2ppTWf+0{Q zkrYmYb$kf_gW40ff9tnMK%<1!hO}HjuN4uU-_h0RVjV-YS^K$2Tgn7WP&0eIDfu%n zY1pN2*C^W=7qFz9#A_Xy6>*kdVwU!hP*3!CkD$TEK7(3OlTibHnU@5jIh?p_oBx!q zMz8W>vz>3j|F&xnWXooUwq>(JZkfg%!({PdnLdTj26%fmsaDd8LnHnPUEQV0#2g}q z#Eg-kl#0_*H#jNAU0OR)B|&3UoAJ-dLeoNl0`)vz!rqX9SdkhrHKUHze@HHHZ*Kq8;hCtUT^Bzj_K0W&*e)hh!B2Sl;h1r+NXZmv~-XQIkVF?*sF z1o`m66GUcgM<9QlM|*1BDPkj{rWQ=gv;}A3=Wt2ZOBX_Ix0%4(H+1glE#V*yCsS2& z0V)c7eS;1yJ80n$NM4+uueTOPx5@){FrX3FPe8 zE++sI_f;z+fUl1W)V89tin`HJq$GJPcrarQXEYEO`E^}P3%f#rcvmv*qh9DBw-yN? zA?OAGC0=i*b4}0`B;R5vOXz4iI*$71d(oNtKW(-<;yh+Kp`MnTn`I&b4qVJEf1_Tj zcE&+?1h=4EGlEyO#nebEYmQ>X9@JzCr!1r07O%$nGRf5fGEdj#O$263X?8owv85fw zdEpC^%0V;*=bMdMe@3Xl8P9O(y8Zt?+#MV=JU>6(KR=7U&eg>bssQdR z^KA^Cqs|h5ZP=lJ4j?>>sYw0abHFjsjMHs61%lDDbNB&12Ls#bv&vtLAlKe9;u~A_ z`~W~^@GmPM44^xF(~~#|E3!*db;8d;m1V2`0+PD^=w#5-y95|Dp|7Dy`>)y{eNU)K zh=1cVnNCz#snJZ=OYLhYkxH$J5D)kbw`DXz6$fz86zT;;MUKcPNYZIi60EkDZwZf} zZEMp2+40S{b4ZF(1*VB=8wP-`<0azt`iJ+aET{wh#U$4<* z#s$ejo3S|ZsVdT~_uA3#_^CQ`n&Lq{@``O^rjX)G9(^T@=jg~Gk?Mc``J)#v%mKGl zKTVRJPZKnSS%%zpvRme=tl8db?8DaDu{0ZUqKRUJCQS@W7N`Yu(#-hxUxQCMx#=3w z!qwbCf4Vw?T$~dHAgbvg+p*lezBb|s$FIiXgyH5K#eHCnXFy|4Q z3|+MybZew0nkwoT;i$x@|GUQdi{q0frE#R=L-x8a*rW~u<-)sNUks7R1ul(16KK>@yuXm-p4!}uwCXD?x5MS4gvvA~F z%4>}6+%A4((_5<sV=vYk=k6t zJ^HeVNfj-eyNdHR#izA5)Gb}`xf09{%|W%OlD;ql;W`xG?1?wnNi)oGz#H$(tty7w zn`kC6f+Xxw9QO8vj4w;8-oU1g@aRpll1O#XW=e_A70?=JVwGOBRvT^F#9a)Hf>x25 zjo2Y|56(Q_Xrs0?BNoyOGmmk93y&}+%;K7{#eloHy%Ozs5k2&TgOAje;rWSnh{Lxq zE#m8p`a)kj((n7W8LktO!BIa7e1TvxaU0YL3@raezJ%~=@+My4Ift_e^x?9I*K3Pg zs_CA-&F_}mBOtUQ1uoU!7hZSO!3B@rICK6-$^^*?&?46=aefb{+ry8AS+`X0du&f- zYWhz9#a{CgqN{|(&esqRuUR<66SX#>Y7;G6WwmVA zC8Um)E5N&g*P-A0sAmP}pTg-hdNKJ~lBqM}N6`y4m-Ih-gL_)s^i=tVq^2%VYAPIm z46xC^%&%C``vliIoe1j%Z9C~mAb=1B3+%(n)|p(Q+m}{4G^+puOt-?S3&$$J@DNN} zFN|j4h+k(1Iw+-903BcKvzEFg5l__Oy27_&?UQdFTs$z3RNkYc(b#H3YP<@7=}? z);HZTrYKpzcavt9h)g%$983rVCkTvTIIa1+{pb5%e*L@$Leg2ePcE8$FEeluNNjA) z6yy+2TFIGp#osk7Qg}{vlbuuHZA23iHCjVM%@oC~SGyC8weH9yG-IU}u9y!E5LWLM zhC!@UV$IhGj~E!MvNDPUw#=#V+H?c6T7>DzgG0d3l(e^FgXk1yZyCbn9v{O>sjID? zGmkk4)r&@SDi2u=Jk^;YuUKsnz?9a&;{q_1DnhNti5FN9bELS#q7_=Qp2;QaSu)`z zYsVD}6*kh%&2B4KkTcSmooJSBk_93!!+P|i*TV_y|3DSm{@JyuI>;W^r8P!F|rOgf-NW?bg#__NI*856)xJv)y8!lSI2-(y(Kjz;xS*m*6cK;yQvb^d#mw)@2zG4;$e8#HK^AUSscyVm#{vv-g_Q{T_u<{iGP!XHxgec*o>e zc)A?42B3=TLp)MuaOfrQ0%4==0NwuQKdSOWISBx9bWxuA8yYq}-^_-M8zX&cPZR{?8=)scX} zD?}87dw=zlm{dlqry_CFH(dtW9cUWPX435CQee-Ne9tb7Hi{J?_M$43ec@msQw; z50p9BKRX&gj?-|Y^9?2$hPqfC zozrt?bXs+7>y^i8ty9~_+3N)D$Eb>LN93y%lddjxKXF{yN2^2bU_zt>d?P0=7 zY|s_RH9-H-fejX(P_XddZx3>J0=M6z&>r{V(ff>On;(Box_bB2r|uE#cI{0$Enjww zU3Zhvdls6X?vxC>P<(YzVhby6HnZBRpgn;UWY6+*+15Q@r%~)OCcjROtrPF6EvqG? znKiJwoM7aVljYgIMpI7~>R3L3?b3I8Fc( zApC3wm9>T?QJtgd#N!bCZx+0U+4NykROiaC>1g^YA=_FuRUn-4&}1)*TxZv85yTCT zqy7_vEq(&?e&eEpxN@B&En??KQGYl>dk6mJ8_^&%8P)W4K=QRnIKbR#%&8VK=0>c# zZIXU-5lulK7~+TDTs+fQgiM_UBJg&qDP;B>PS7^*7OTfpaL@OyUrpyaZ-4b+v#y|6 zPvu*(UeXGU7bpc2zZ$xWJ(YUZ!11=2V=}>JyV=a+!mtu=iQ~%6SH9I3}N15?btP|K*&`CK_b@Z@x#Z<#WlH@XE`iU>ADGdS8>I-G? z^;l+oc+``xxaFJWdEmpriMdp!x+A8-hDHR%V45h)IlffO|3=NtT7zG$bw!e@pFsQr z9A+l~SdaFi5&pdworpwCtiMK(TL0GYMht6J{|BadAk9Mrs1;~u2+T>SwX67zI&l}- zO&UQN8j!?dP#W^@Kq$00u5;HOX}-r3i0{Q&YKA!N)Qp?tYMx{_(PcbKmRWk4Uq$`n zL9|>ZHybtA7l|5zjRyYT{$C$R_EndnU-Oj|-OS>7Oxb3%0^O+DT1Ieqi9SS$m6 zn4=FKV@GsZ`o(EE$~zQhRo{t1&uEpaUlQUkhW(N&>RxhuHIE)fa|tMRx(-M1IVMOo zGR|;voZ7Wwk8~pg4haaxf@N#iHpr)<-}!ztdNArWHr6!6(6F@1^acsDT>D;CP_jNi z86<>?LFJi#@4nez=WXTAlDn0x%4O~8`i~Jy)`>qzZkS8a>e56$+=MrJbBq%+q6sx! zYik4d?|rp`a7A^EKx7Y8kG5u(xUF#-;}mrFCf)vRO6X)FqA&f_m{^^i=aAY2G(D4O@BYBS`t17=~qP3*C38VVeQ<0x2_hs)MLOnWxQOEp0YSghQ;^?kUE z)z`y^iy4Cgq-V_40D)&aADm)Xka&BPMPi2ebk{fqF@^7MXo^8wOF>=Pd4@evg2})W{geu1AOa8a!@wx3&3?Ilf9=Y_g644UFYPAxo zNkoUQY-T-rq#3{*ZwMBx0A9F+M}|DzRq?@J+dW!kxm}?Y7gq7eAaNY)l1qalYErEH zkf-a-afm4L$tFkaCsqT|(dJmNiPhs`hFjVv003w4U`6xuA3$?j4x}<`D zc!u~!9_zlRpZ21k<1alS;mtn`PlxoA#Xxzb{rL9Z`LInqy(*iI#|Fcd3E|3Qo)8A|)ML_~?X z8KyNze76V*e{Uz*GIt}ayEECASw2{!VRW#E!>yt2%okBKG3D8t`Y|LQ7&eWr2?w@- zCeFEgtmZK2?jTv8`>W+BIAkQC_s-Qc!u`8~{5|S;hVHi_`=5N+g+S5M3t+=NhO^H8 zGMQIX8^dPG+#KR#L#`O6RrGQueZcu{f}10xqY$V+=#ufmXzod}F)*4ZEnp%H)aQ1d zzxsz!H;Tpk89qV1Sc&0F`bDQ`y};dl1OfJW&@_VOod!+tI#zn)a68^}cUVmBUb}Pq zrymH?NHmArrBxUCb@Y8tx8r-LIIh)sWe;6J$%95Nm4K!q_l&yonZ8kLdx{;8pVbSG z`tTAX*jg#>n~Ui2gb0lq3#zniR4Ix_t!vXlJLZ@AnoSDR(g|Ipi)6ZyvhB}_M8|X7 znZPR2u)y5P$B=qS>ni74!ovC2f7C{&*cjh~{9Hk)=y~|#b&)Qk;X!W)sWM24KwtvS zN`sjOST`IXU@n*Wn;?@StBuuv5t7#B33x7liU%f_L73mL`_!(QX2S!4FgHGAq}d1O zOM&svxs>dJoA&&0Mp{(ZX=?oKOLf9}8}+eT?e*U&{lEkGc%JQQ%0XZpCzdD0Z?&sf z9nx?EGli^MUH8do9OKs%lq zzGN@Y=m;}pagS`VNF4A|B`jMHV)A19bs120JS#hL1sl}l*Q2Mc0RaCFlGn-TXTZYH zX*0nUY|l^W_uGt7L1%3~CCkbvE3rSQC4Q@h*yOI+FTxHn%fmMD`2U|I1ETX=ywfr! z)pgY0464&P+3;8zH8?H}PrneoEaq{RzQr9ZpWd*VS~1zCn}#e*zC$e@ka#^1bB%L+ zc&;@fEen=Bm3e;NMyx-IV-aDuiKVqDG0szjP>b3XG57i^g|p#}On!7qoW!1VjYh;E zoG0Fxm<>EBy?&003hc%7xKKn;Z+!5h22MrSp)uD&f80{F77X_fM$ya9pV!O*HmjO6 zSWW)DNqwSf3^UJr6KAcbini3yAb+Zp)`%-wQ>o<}hepk^Er!$dzNU0Sv7dL5ktX^r zTr+FsSof_SfML#)ZSX;aI%+iGwj`!0+l}wQn&1y#kYHZ_sDbuCQ5w{i`Uca9@)OjR(8`!q!`u)^_CPSS$ z$~E*k{|QEKk9$b&U8g03cWKJ)UqFu$V;F6N%>KmRni0w7PYDqZrTmzBq zT-aiZ7^QtROReu+$i&pG=q`Zj*)vrFkk;%YZH=Y1$ISwM;6n;!#qKjHhbyn)tYj7| zgpjU$vM~WFKmOBT4h4{zLc?}7j#Er--NGM@@HLJskra`}upvE35CG``)I3mHHElPu z6E2YLt;HUZ!GPnvoP;-i4KjO>##&SmzFfp7T}^>m&iv=rG}g!z&7j5zz}x z3ajdEyDKvRG=3%YY3j8uZ?k#X{M{ z5F_u6LGDARL}ugINht}^y22Y{-Ve2HV<-3syF=Z;C=3a7fV5f0m#k`W`xhl&zzekE zHF37LR+0`n26CmPW33Nj8(>po2TlNSw9$=qNqU>}{q@lWCR9AJhK7(3s>%9S1+ZEC z5HbnW*y7@~$xZUVEJ(5d6bX=>K>C+zRXk5DUCR#;I%WB% zSjiS3UV{GYF7#*Me09!wJj@s10~w6-yI$ParJ89?{I5HYTaDVk%{-HuNR2tsT-HCS zLyyZEriE%hs^`uFsx3I>o@-ir?xkT!a5MJVHg)_1l#36&PZ(oT)-h)u3G@iW$-xPB z8j&+qL_+6kw<>^7SJ}W8GX2s|v~*5gpYbzK!6_yUZ&{ecFxM2viR$`J{jJF2S@W!P z>w&qP!siE$quPc)6?dt!_Vwu!TTu0pHl%HKz>wu@+8+zch0c=mZdG0-@&x1@Rvty) zM{|JV#3n4#n?vpdxl$0O5W~NjU%d^+^;ev8%v0@Q0p$uW8;p^U%{!9zbyQ$l`H5XWxf(9 zZd?HDR`2Y3qKoRoq!`#5zRL@>4&ukBQI)LrWx@>nVtbV41I0lZJ|@E{-}+Y14i2OK z5gCX79?nY4x&g9ykaVhG#xfKicIFu+|x<@vSBw3r~&+ zB9;JG(U8_7YHEGebYorWvHxEqd?B&(=Ku{_JmswC9%>ez&%| z;qIzuQ}@MlB(@cXHP)AgCNhz#A?gQiZ!40HsP$#ay{t*ZB1UatL)ru7HEY99=%EikZ1Qw?W z0b{b9m$l;qOtw>>Ns^$*TD4Lvm;-HehO)xxx(yn$aeT1v7N^%hk8F;MBzY(<1O6cl z$Q9D6s*MKxz5NM5NaCsC4+CT7J{zveySJ9BL(B~VPEkhLjJ$68=$@NCy2qx!1;Vj; zkwdxtalS>$eb_q(X1?6_g!wf#-b|WtJh>!hf_s`Zw!phLA7sulWnykY;J5@^qT22) zoR(+HoBL|EF7F*Cd#a9x6pumGsc~8^^0itxfu5L-fB*D{-86`R>cC^_xjz-6W)U6( z#d`oNaicFM6btE}jt0GVrE_vm1DgUk1n{4E=MmY7`>flD96mU`%Yd96cN&m(Lmym% zWY;r7FRN_BFbW-|j6&38yJ#8Jl0XUfFMD5y=Ojc}g0_G9GDR?}av5D6Poi!X}w_PSkRI&$Y&aF!?baAo&Spl>j&oR#W z6_#c2^owM=m1@>96;l7|!UH|8O%HoZ>l%l8(-mml^muJs3VL9CO#rTn;JOU4Q{UW@ z)e?+}!TcPSUaG>E0FJ)>uG=&;lLklIx-FZJoZwoEvrU_z1{6nkYCtGUsJ8KnEie{j z{dGYsWL2yVp`QS)?EGSAXzHh~c1*{PLIS1Xng>cM|;k$N}c zZrQmvO-lon!l(_2G4+=NCSK2G>D+J+bM@a2Q8N46vlftcjg*L~VmDb9SH7cz%i;F_ z`9Mysr=e-3%9!^Ij^C#y*StRxQLJ+n5cEk82fl65p~rX;;=Rdg zofq(V-*@$xZs13lDF*=>!^#HwCHimT_RoH}`?{iu6^k%&K76)}2&ha;cjjofx$6`VeI43tuxiXa=~#MV>has%@CJ?qJ{^%lr=o4Eo_}HeWhTyBz3+*8V3 zXbokw;8TPQ)=|Fl&LyGAQ9m!H_z=x8!>fFFyjciaLY=z?`a=+cpJE5=*M$05)9J^z zfB0ebl!KpvvS>-+Zz|5Wi`8=kizEUsF!B1 zF?C^2ZBkPRsA;^XmA#0^CAy2JTU49ECn$%bT*k{BSC6miT7!3J-5%0tM+dUIGJz@t zZj|vRMhS#G+jq<>a&4zzJG56S@6%P^-*8a>_fdcgUKWiGLwJ$Ft*LDnc*|#=oEtTY z&Exz!Tcq@|>q^o0?AW_IjJb5p*R{r+;_hv%F-Fib1CjYj^g(@py$}7^Hc3%I)t;K2 zMtcWir{M4q@~0bD4a}(jXn}je1IW}GH88``{sQ=^*js{&#p4$bU%il7I~H5~NZBsy zmDC&4t4=3rZ(3k?6I1BqmTXIM=KPCItxt;z5X7Q>;2JI9baV3%HHplKjEfuiiuYj> zWH;uK&9+n%E6>YV%^Q>AXOhKjJb9Tg)12ChuJhv3CX~yrS=4a3&MNtWGOx%_>xsUH zlmiQ5yO!UUOPjCL!f*~SO5yvc4>!;O;O9|azjCX%dL12|t13?K5{^f0YJ5OSvdR3P ze-=L#OhB4Y3c$DgH*`2(Zsj`!wVND+eO0*=yHVBnKGQb|yMGpWk-i0^66^ci{OkSI z7~_}_e-N!;>JL^TLN?Lsbc)Ir(IO!QGwlUFdBma0qeqAEU%b#94pqw{3HYvb76MHc zruc(aMYRp0pKF`*XxL-vXt1rP;sKWF5y!OjR_7p-$&;U&QGKMvHH&u*N<{J(cwYVKRJ+>YJK#d zzg1tw=N$t#2x5R`l0UDI-_$ti?^$1?*Ca;K3&7>PL6hjYD)jOlLppYJ7y%PdurUL3 z&mtYa>47n!o#$<6d>7Dme;PIKEdnHWz6KIWBq~2Y!9?oYhuvI`K?9@4?cK!0QjvMB zz~wp`e3n6G)K0lx$sq`KN0>@383EOpf=}|D5o7T4%u*n}u|inWo5KA>O67LuF*J395O_TM>rBPW~(bJb@}B zo)pS5oY<8iSxh2`bsfwmMW!aIddlRG=GzVp#Jk>O1Iuw#s5zG@BSzaIN$h6K1lt8S z-LY9Fajd+Gk^EpsV&IJT_^rZ zxS`NAme8u+^Y}XYDEbo4(Y@A;7OqzMq*|+GH`?&HJsn`PY#|2;Gb9=#V5<5yp|3Nv zsL;vS1>;a5W>rlyu7!UOl)WDf&j+&Y0}6`ZRJs-?;ZtuR>TB zwR3z@&du)Jp0DF<3*OUXB#bu~PanTlz&apwt_%uJn`_ zUC1eAYC}6a<)6Pto4d1gq`9m)%e;5f$&|DyYx+il281~Zr#WRfI<_S|kfAMLaI|xtj@j4M;{RH`5EPfXENk5%VG0P#4(O~DJF=7>2D58wdAR89 zu!MZ5r|=~D$%yO%)vt}kYPILJQ*t|vUpM#rE@?BZe1iNzYU05CO{$6a{Lw^~lkj-@ z_y*v!IMeiGw|}7{g$_q(B5^G|D8nca`q7@1& zP$smhqsGdnQH2YzwiDV`U#ajI9SmhgC5uyb*v_4zz|^oaM!J0+IK3Zu3iBQs-ejKG8@P z#I6|1T86UtZDAsM@EtGXY`%qi+*Yg-wHZvxjtw|^FdD)Z`oGfpn8HqCliFQiB23Xt z3&vtP9^JjiQFIX^-6S>6N`Ay^MGuZtS)P`WAwfyA3EUFi9`%kxN;~Q!nG(Q?9~qbv zo^4`VYHVEC4|ts~(+v}NsmmrgM|f6DT}?``rhC(5l}{jWHZf|FaJ*(Jt%@|RDIBeR z=U$^c%{YcOCx`2^HPlyKBz_&n97@l1?eZeo=T>QwSU_bX0}h4~kf~XHB<8At9i>HJ zWcy;b)j+5Il-}htGk_FzzREX}JfZBuig5d{;~bZyV8r)TVFZ)@huAT}o__kA9tz;y zwIhSI6KBgj-WVSL-plxfB?C3csnHvX# zIRJRwYRN-#nal!AdYVwI58+d8Ha5BkDFbA@=@G;Ut9yorjU1x3)w715MQ`+}eT0r0 za(A#voX3Qd!y%|2#ztke*dzs{{K0p~S5X%n0>zjMsQ0nuGMNX@<=YHEawTl$2AN>M zoisL8qBVb{Z$CALLiAA0tm~}CUVx=b{R#zq7B9hO+>0*OaoUbH$Afr$6**W+z~8FB z0CNsS{#4!Lnp4wc4(XiH(_~quV7P;Sethth4|6QL`bwSI(sjC_Z%ZVxvB;cn?t+OdTG5U}~D(po*EE33xZsjN$#BPqOJSUM}NuAtY>L zCNVN~(?5HDD`!P6B@OKv!@EVcu$Az2n=KI_0T3$zJdLvqctPBs-8Y4oK+b~}vfy{C zYWo84eSl2jnCm27Z@Nq$TBC8r#s?;5L)-`|G`V_scIsj~W3Z$d^6EgcAzhK6M=%54TymC2?tWg=1sq*-vmQ)FAYLaiM9|>#%<&Ip zBNbbetcH+6Q~kdS2R5@{Tk4`P;f9$8Z5&u#_U^y@A+b_Tt*Qf@m()Eeg0{nHG-~&m zsLtd?)x{Gp*Na$h*`B#}eRw?5#P`a&gRO7Acxz$`pkxwFmg;yG(XW1Ob;)_@JZ8wy zXP>|20QaF9rwQc1ug0c=GJR|Ip6B|8l`?^fn_7mlc|5*BMxhr^sN^5kX`~y!c}NkF zFVp}mqu<}Ebs>7Cra=T33T4%2fb8o3{;Mwr^h`q!APcIT!6Hk9xOf=ufA;l5#!XG9 z#UYPQe= zP!T>@#c$HpcBKrBYh3smM`=9 zjV>L?0Wyf>p*i~qcFmGdg+xbk``iBndDMcTPjfcqPwHX;N8%^SoXON@xEFoBh|@th zwV=qaE3XVv>$mDS0iUYc11*amxLq+DPH(MnLA|M)7=$IkrIii*_Fd3j+68P*Z@SGI z%cs`kynxgt(~KB=NLjvOsHyg7^{_%90#~&?h`vgib(Q4!ARi?W@vGf>O$PZYr*7mc z?!_w4tKE2!-+MPyg{l`=+dXt+vrS3_T&bJlrRvHG2=V?Ve;)s+`e<2`ic zI+-fa%-rwKJ+l)t3vZ@?AS~`(Je>&2Z8yn?cNEwPRcZCQi* zR&*D732J3Zkx6Zrdo^^=sKoKoX8rkQ0a@w8a%0%oDRv;N4L4?>Ci35?%Zm)s4tVL| zZ4;IoD6)k8$s%}LI?PbMT}@PVD#q~l^2VXhNbtA>nbh%QV-qk|1j(FSCOvOP2QUCM zt3{iQ%Ek_p+XbxDP4I@q{<_KU7F_cIbT4-nJygrwx~%X9&j9cVinr=V#xqn3ZWs*X z7oOSBl`PW#GW~A3U+0|$tjen3ESQ}s78*X!ugxO}DMY~dhN)X>K2}$m$=?oiI<$9S zAC4#;`u5+gNJ9xR79kE*73g#Nt{Yj_`a_IR$zF867mWrjo^)kLEp4p6oi+q!*^M*j zZnUG{G~DKVbc;c4$Epdi0B+JXc!Y}^ja7hU0@K>Kl@dHxr@AUKPAp`uDzhqX)7;}4 zIEIKQ5fT}Rf(|t<&(oF)@U1&?iw>Kt8VaTfh2?E}8XXRzpXjWY=#vIV7r}4jEH;1~ z`7&G*==yg6w0a%zCv`f(23`A82G-?OgUelKm2IZ<^j68CgbR<-Qk0j6M-uSvE=F8Eb& zAN=b`Y~*A($U-$m5tM1@c&a+b+p=U(3@(8>gWxN=PAi#XuSXm7WE9?h}Xof?Nko2+_gH-ZnH^hc^^ze;hrG6(&R#5#suQ6 zRYNBXSfCfGigyHV3`vax)o}U^v9BV*Wx#&v^}^2(%KP6w@C_C#il41@cOMiVz8I6Z-jEKcXZmkr!B>GG$p01-%M3cb}ezpZBlTi}DHy zJ#yz9r@+f`lbv4fnCR46zMJ>-vL@%L(rP!^NiDh*r1+?3s8qdrwxyE-_05INath@_ zc~NX*lG4iQ@jkOJ=w61ew=Lo+-+F(bq7+RJXD3vf|5rY z4c~yQrpBZvBk4X_s@5WD9{gdL14$EVMhPtWD#yeRRGlX9sCu=1)>O$l29F;sb+!&!2o@?xKXdMyiup=mENg!0)d_`$WFXQv;&oH zsy{%fOsjmZC(6&+=>q}7O|hK>`5(Q2GG_b|;=v*shDYdyIzND#jx-C*HU$u)|7FQh z6x@+}5FARtt|}`KOKU}LGk_aI$(uU%33XV5dAFE>f!sem&_M1ir{_XmP1`1&yJ#zS z2ri|y`{!`hTqnt8AVq`HGSqJ#3-ZfPpLcQ$x8~Mc18(IeE}HnHv1o^Nwqv4E z3&zehKCxY%iY5eazr!!*8ZZ;j`6DXJK&k}UtIoRgi|-yj|AXik_|qS#dBuNKnIi;O zM4PbBj_E)$(JYjzB8fNu!yg4in#mfsTIkW!MWO8H=gD#?{eurWij7#E$O9?G@i*rUV0eButW5zioKZf}6bmH>q>#&-DKPb`k(%bJ zYkSIMWiF9s>19`QnF&qA$zfi^CCBsCQhw7RudYc}S-hw^kt%+z9w?m_0gC5?wld|O z=vfP|Tv?)qfB5q5t-uq2zawSEkmxwboc5 z#3p0x+VP)Eg{T(f{Cb%LvNq+f-sX&!E!Si=Jo{y9Ljdf0ed4s`qWMpSYag8kVBrIv zB%R2Yn@&@NGr_qtv=s! z(7fWqEk^05Hc%mN(u*h7DqZs_Y&XdC$pH!&E}^{h;oPb!&wQ4R55z^23|WJwLwvlOJ_pgm86* z^*JSQ%GrUU;XY0+ccEx#0I`R;8mfmDmh6aICwNVfm4h2D%)d+ z!_(j$W_)HF`JSzde|3CxJnT8juWGr^ry^vE%E_AGA=$(!^WVv{j5wb(GCS0qX$0wS zGo=G%E@Dw?rvJ}U`Wz3?Y_j3XKLeDuD{1S>q3^L6`X27GpcU5(IIOW4jE@-^Sna!p zM{1nc->E(7x%&TS)-MabYIIt6*vsoA(Xla}7CLU>z8<=@Pqt&sxXZD>U;pe&_>cPE z!CuvD)q*DoHpDsABz*3-*_S)Vwko>|bHS!neHC9;#RAspNiE?%tr0x02&bAS#WIGK zRAya35Ph|JRF;Dv57j)VhVF`MxF7RV)W^Ko;6neD9C3Cc0LU}WVn||B9|Zqv4=28Q z9-l&Tq1*qsVSd}*8c?(|rD;A78YgsUA_wTf%6*E#;B7JlbGCoF-<9zplL55OvzSwX zfO3s863i3@GkThU_jz0uO0j8unq#3{FVl@aJO`%Xz0SYz9P>w(Z+XN&i*bE)bkeI| z2`dE$C#^qEc{TL5Gqlh5t@XXsDSd-PrA8| zIcXUq9RmGqcE~)sHLzCf4ib*TJ}Z-2z26?n4+D+oG6wBP__Jqn2y@Qqf?DXGIP&zqvE`yuYMoq_BA-@ueW^y% z$h8#e6_7hXnP-R5!)SOURN>3b7HqIc+-GGbhll&>e~zMf5>JzrTGGhfC0ufkf+^pa z$(a`-y<1p%juw;2^4{~)y6KbFXfweXZu=T<_SGQI6LzmCTW~{bzm8;aw@V!WYflYjL(v5Wma-Tu{n;|A=BGSsenpQ*G8s@$&_yV z7qItDBb&Y+EpqzAZ_5uFDN=WlZ8m3Og8*z*ZDMVX2HB1Z|A8lmt}`u?8(JA<2o|aS zEnFa)ku*B~}P0t_Kr z1@CfRi9W-4UNOeW4@TP|F4Edf+ z|0l}8#7J;f%N0HadXHF5X~=I;JKJy|@pGzwwzO-Va&29)zVDt{bX>W2YIXJS79`Uk+IYDw@fcizcOApD?{A*&D{=vq>abgDH&V9 z&4#vcJSkfs(9bmQ!qbJiNxg}7A5@4N2)7r=_7^i6A!8+`m#XEym#O_eb~UhEY&wBb z>`HI}+_=%t)caP;CHkyTDIM<_1S-PstaDWe-)p5V^lE|0RU+$=l@F~Fu2n}&+52+T zbjoHh@+7OD#LU6J%BOJvapG?RbzQ%T(7?*C?N)pOb6dkX@K*#@Ns_~N`Ba;S72yt>>9+R6P_~( zSB3Hsw_>&-;uu3v!SMcNo)^K~9r{JTO*885D}&Vmz(G?NAb=OeE*X0I_A!w-sKc1* zBPnWxK{_!U%Hd5HaM{<>R3B)nmdnaaC+Ec)p#vc}xGocFP|Ik3MFzSia^qiXA!H&n zr`8FGBij{PHdk9wY!c*`Y_&Vq%k_f!;7p^`CbwNBS{&Wl%05M()OI%h4PYeAkOy7+ zLYK*G)2-quoXwEy2t<^%#hnHTpG1;Sk^H(D*FYHwF6@sgxQdvb~Xx+(z?8kYqyrka9{#i=N3o z1<7Fdb&BDFSfqMHbBL+QpU-(E4l#u{gXVbX^>AC2^{RmD?Vq9CKJ-a7ScD)+%ATw6 z+zwEf8}8!dTJcL}Hu*Bwn@%hE$$Adi|aIA^J)X|}i94wA;ai#y!-dt*|h1=^^YreI8GnFQxeyEzU zL7pG8rU6uQtp961MVN9&Lrcg8t&p=nDgs+e}?kOHedAix6UWzB8G( z;6ZLd)j94iH6TcIWKJd5v=t)LQy&9cq-PGHt-35J!i3+I{(E=;=%V59z*1OMGV0t^ z5}jJ)X4O^GNd%ldmy+G=ms8DGJJ}y=_ z(bISeV4^;Wj6RBjlMrJ8(PajEu71%-#TUwdbc%g~PyURa95~-iYf^;ncYRfE?^_G( zG%aPKo|iUeoBk=QrOBZ2MrQaQN({v9KVPd|V;4k?JP})Wt$d9;ze3_PUCT9FNpR-A zzod;i_!D51cFEmng+K*UH@cO|%VR~=rh?<7WDou7UnI-4EaT`aP;WwIsgIQTkZ(58 zSIJGL3|9SB{hEYuUK-H~lETruU87n}QmRQ$;m#d(YdU9e0I=zgyUE+VczzK*-L8XK zx2#O-=PPv4uGPhgEMRaG?vHQw;lF;7Nb{GWuaALvP|%W6A^=&OK{|*{VHA;A`K({8 zvN4x8=%Sk?IPKI}CIFvRp8&46g1o^d2+2fh^=Sj08Q7n|#ztv3%EnE-IRom72!lSa!}nc92NCcc5Uxw%f%$s{Jo zpt|9;`frh|5m1&0andcjO>Edlw#zsghSy&;I7J-Z0BS&$zxXBBir~Y52$Xj3Fr+!) z7M(2M+)&yu2ar}uMQxAGNHrL}6b?kg`e>b88=49p3nsQh@ORUqBE5hwCeOiT8ohXR zv_Be}BcNI!X<0<19y0Opj>QKVy-ebrHEr7C1{sKeN!zgd^#e4B5dd_vOffD5kdSn) zflvC*Z^?9aCXa^$L3#R3GKoHYaxjWi(GflrWF_j%bkfLYbNhEV7j8TDKQeg+chhaz z1o-mtr_WiRPkwGDF76$?1N^F3b{pRgh)^{ah=-tEO61X+G4Dh@BS&j#t(K!c15uVq zr8*zle-9NJPFq*t+UedV_Zv{b8VGLOzDo-)5A(g>t%cz^j_ zHkJoaDnK|x^a4$|-AFs5r8qBcAtc~qppO~kphUyrF{Xjg36(D%N7t9AQc8g~Z$g=& zpb|Na1hX3{kEYLVDlA0%H5`b^%-#)a?cc|F2|29+%JY0&=9s0g=^?h&IbKWO=h9s0 z5)6f{rv#urN{`iIAZRU&WA_vFp3-s=iOW8P1s0YWXBOOJAyFAB4!|(Pn4p4E6v#Xc zkF^1$CfhOiqnUm`d85j(hYa{vbd@jF!X)FV>b=XyYSszo7RFec& z7#TrSW0xGLg%Q@*R-9Ruf|Nn3qxZG7ncJG`TN4}A8h}rz5~2R_!-lPq@wQxGQuw%B zm~-1?tITdSpKod_R%bPHQ>V&B-RqjVZ~qP=?Hs2|&@|o7$2UR^1SVjdO^uj6ZKCb^ znqsqEcvKicZ!GTwO}z2#8ttkP5K8vkaiBC0j0(f^Q|*Ox)=~pP@9PkXb*vB|WKg@P zwhQT@jGbjKcYOX%2aJF-0I%>;KxWaU1N*B?k1Cx~^^_puRNY0f@YnA@x<}%Va1vej z3_8E`W_OPP0GJfTxYgyes&n~FlL@(e$m4TpSVlw1;|!6GQ4w#J^BhG3s;gvjO(3*Q zG`T4+|CT^01!N?xR@KzYSk6VhtyUcy2AJ(e^A^+sm|t1a9c@~g_rPW1d(aOlYY!jO zs0{IDJi9vpbfI&9K?WQ)Nm5*ycBunlmRW5H$7#jCiKRrgl4eT`KqrN@wt$uOW@e7-FVlgdwuJNs|4-U?H6~4rmbzF(N3#@8B4lQn0(V{jdX7|t| zb-d}8y>Jw<{oJZ47hi_x7F&D7;;htLqJ3%CDApIbORhp9hq9Mw+N$3L912Y z8bS^OG4V2m5d?_HHn~#M%jCF))ZzfSlbk)du)!@jv(%NOkv6Yx^+S}is*Th zRft_zc8&AiZmgc~FjHG8T|?8jBh9NnwehjNmJvS`R7kD-q3u>nchPJ$Ym)SeZ3<5~ zTTPya$iTB3Q|S&oICYbnJy+d`OCh{~u~I*JKRQK56J}<;{ry%7rVtq&u`e~BHrtl# zs>$RT`tf$Ij!n_%2o0x$djy7jCaIR-jjHkMG57;ee!UucC0wCg!s6@b5QWH&dL2B8 zm+9nEncilkfjqJj(MIUvXn%p}A1IHc$K~_SAH8@HJ$~`<)e9O6`h3$(NANu%Bx0T2 zao6Ru4i_@gxRBdF-_C37>%jS%+Ixr>>dV~I!5&${0i|t#XdEJd=={BCZ3~@kkkKRj zbdE_cx(WNk;~>8Q$!7zQmb1P~Bl=VUrZ>t{*UD&DvvUXI!}R9YQuT{QtpGPw037hgtL@F4TlP z#I^irpk3;A=`s0TCKb}OCz?a#wHi^8XVm|Lf^H5)zRdhbbfnzFHr(rPlL9(dH&DQF zG>Jjt6m@gR2>Jc3Y7eTOUP-Dx-Db||r2CO2N&SB*DSNRsZNV3rtM)sbfsvrvui6_* zOmXhqCVr5cq@zv+64#p2%6n_zEMBD~GV;!?!=lpU9@@6f*IVm~Z*EbAH7qGp!Z_D8 z0}swtp3jWw?sau|A3we=C;?59ijcr_J;RMYuL0$N&O7&_xIzV6WAQ3F*n)i}?!5AnzfA z%{0*lf6;4IedeEF)ol=f=Am|UdNR;jz6NpOO`^uMDC_uKOixVmFCVa9rJGGT-WGs? z=Q64r4YB8H2bU(ARYg;NjAfiXJ)_7S{DraxXZ1F$CMN$YL3Rjb1$1GMgAo()QVgd)hGb04gWL;3u6Rz z%zS_N+@KTf15PP|8GEk=MLjgz0~GD>Lx=|9Nz^cD=rkRs#-Pj&LzKY`ZeCTCtH7ft zV!VThqAY@#AYWwB>!?VViCP7x${fw`sFx7y#MOr#D60Y+{7x)ZpW>ns!pT?Is(5_! zHK)W1%1jD**5>j9UE2XdmFd$&*fRbB0@??SaRSj02>eDXxwu&T0_BR!cNnCGo^fG*6sY-%@q@ zDw(VQ-HWp1DxSvbk1dhKm6j}StTpG^|7BSito{WdIyN$!J|@j`WK;=IVffNqX5T)i z3_^VPTzz3!ahu8(obVkDJ>h}%4*s5+g_f|uFtRKxz{#Si$_#SD@v~NBBv>~BsZ?m9 zlvTEn21*%`Y3+Cwv?G>mN^m~t!8<*QeiEIWtN%GYjD9Z~4Nr`t1jfb~Bk4?Yq>Yo! zb;6UE`rRva!A8u+Bi~rZg`evdaRkz1S+I_iXvDAeIuEjeFePDmnXaQgz$yndyZzF* z{^(ws69aXO$RUG(&8W1Hs9Y$oJs9mN;#vCNtPJR|_-MzL;O3INGxzl)k!!#++Xa9=h0(~awn26Thz+61S z0&gKcjIWePbR|EL9ghad`Edwqal`;EpD;-;nR~$=^F4JYMnOiPV ztai*2J3uH8BVl`nUO1;=uk3GpyHAfUp2p3V_cPU(T6}g6u3f0gZ=xBUO2*NY=spUv z4%El$F#pm!v*$+y;ADImj_dx*v>s45U5fN6b7Ap1b7q{t9$9+j-TntvFH?Zw8$NS& z7S+7RRdywLl0S!~Y3SgSf-D?=P=tXSgKX%#&L zqMKCp;vpJ0+;D>a4`iUvaak}Rj0@T0GLT;eOCeuW^<2o5yOe#!L=3 z@X_%mRwlIw%%fbv85#$gxFVQ~m+h(2tCXzIKI3Ae>DkV$jA519`ImyJw=l)Ud1g3k}p6s#4z@n8;}IShnz zV^Al+B1L_*Uk2;a`mR>=)>n5uf_N`;7jQ_(U%zW0HEn9TG-Dm4$-n~^cN^SBQgs9k z2a&)O9`97i?f*i;7ep)sTVY{@51q;1|Kj4y=x}&)vOiSTwVIv#hXbE|RXEG-!PD3- zbG0D;Ui31Z1B#u}FyI0sx?x67a<~Bb&2U98MdYA(rOPhKLfkX%spXC5gT+|0*BhwWMJ4ut|s=Yy-Fv^KBvIw+*pRm{9I&Rnm(&t5HTlkT1>@pjg}v6S}ThI zt5??WvEVg6IR51p*p1a+Ck#(vgaqJ>LS~IGrYpSmB3TTSY^mgfv%0iUIz)T|Gbgomb<*IJ<}SyCY~Pd9iP}{_WZzOG*PBzj?*gY zE4z9iPv!O|Jdm36CEg7WZaa5jnr}$pC*PJaoN8?std{l3gR`SkSTWR}d+JYV>emH= zEAcqLLYyM=a2Y<()>b-SI27EYFzPfe7q~`Z zm_uz3YO#++%KGT^7~6p-_rLigUm^}UCyEOCY`w^V{7{*ulLgYZ61y%XWLQ&MXZ>lh zMpQ?dvQ_5h;2ZOn3D3Z|RSWY>hi5gFX98d{z-UK{X+aZmss2!JWKMCkC%G~MFz#WL zC~uPTVU`aZvs1KKt?z4!)acTm=hxA*8`a@-5`9I2r_Y~#HQ-txq>>Y*n|IUa_9pti zri5SHstrxOKu|n{OMA-DoiDdn>W^eI8Qihezz)oXt9otQc)zx4lAnD4)gIh}hoa~C z{Q35Z-Emp6QYES$zw5w>q5!@%F=il(#wi0CPz1BB1~R`(WnOW9g|~m&jW>hP%*|Nf z+1N%T8-cs}5bN@7oApxD?nO`X>t%Ey?1}!TPc8;cFkfM7Beb;-FyB4WRRx#BW(@Ie zNUXtlby6tPC7Fg0odH*1&p0pjxe1dN5@2MB5WAqx1^xl*1hpl-sBS6LPXxX~$7BL1 z15a_56p!`iUqdxmCKIywkR4oYaByyko|=06HbIWLYDPR+)O%peE%kh8fk6qC-CXQb zTgZhT*(ckH`iv7?;H?O8_wOJcnaDocFtcJ6XLa_x68i_CSakK!+-pgJ~h(Q-#`s!f<&Flmj zta^`uTzSsAEJ>G?qz8bnnOYDpi|yRJcE=Y}CL18Sf*65t%dlT%j_pE|3t|Ytj2S`> zY{EQBGQx1ArEEFUK-2z3ZKT157%tQj2-F3x|Gpkmv)mHCPMKd2m(}w{GWZ5FR?YF6 zrVGHF3OpA84p;q>lWvE58Wr^Vp^%0Z{qPT2p|hiVz}HUuivOrSsL>|a@{Umr_XxbM zTI<0^)y6hpW+Cas-69)N|95_eepdGRzc%_E0NdXF(TAN(2gavV#w$QO?tNW)#db;O z{58T!*yZ~|WX%hZP-6iHy+x3ftuchIvNzb{Y7^*Z%D&CUlQN4mlnGWP^;wPKe>87h zZL5-MioE2!GemX8O^bwdh1aejU!iiZpN2=2YY1C1*$RgGWjak&KbDiXH>B>S{{KdG zD4kpa{|tjNCkY?B91=WdjjbWVGmq}jrnOo%fEsc#-=+*oQS%J=%hs`p$S?u8X1;5B zCDN78kCn;X$KwRv0^ck-@ti&fc=7lV`Jy}b`w{>S(QCC$(Nuk{<}C<4=LzW8;ky1m zFrkEGBV{ipaG~VW>Zb>Z9r%e7ZrH+w&tcm*KXR#xdHd0AHnJ;f)5kL^=V{R?ZVVfC zwoK=75WfR%UNthST!=)xayDW{*jJWFLfAG8?=U zEzCq}U~2cWYtsc>cNsiu_=yxm3;iVQNNCJ&<3D`2FnZJNd{<33$s$gG-7x4Bzc4+6VwVQ zL`y;RbXmG*x&ZziWxv(^A4UF+o5da4&o4-5jLJ+`+U(UmiLVIJO_i79dbkUvCD%_o z(?{`Y{jrb{!Tkb_E7d~$F&ZzoX!hU!9QPqZWt0a}%{`tYlW88{*pAae9-1u=ujX=B z!@G~MwfzvHZggx;%gTxznPd1>qA8WDiM2Ic%UT8U89ZzlQ#``?tE3_$iPSsZSJAyl zgiZHRgKf~YRK|7UL)sE9Lrr}hM_1eSfgqNI{cGe4o$lBHS^&K|{8drcBoL{}DBi%! zbQ*s9ryuyv_6j_X(l7VeLuOBsZFcp14f4*V_9YrwM6hk>SdO+1U-fX}Hxq{}WwDG)(DQp4Gq}3W&Wvn7uNg4If z-eQuh`I6rwgsO-8gbQ?=r&IcyJj@^?f};Z>0jxoZz^{{&w->VK;i zM*lx`Zx<>_w(kjXy6@bF5oS~d^+hJ8z2{^mXJ=Jr?!9Z*uERm=qpQ15S5?>Tsycnz z?w%nsGj?Xwj*Q3?k-2y6hV6^s2l^nQqRfNCAcM%r2m_)r!l3A=_$CV1Cm9hL2jLgB^D~Kuz)xEg}R4H z8o|Ym^S9{%cz`e>FwhU8^LP`(kFip1U&U`z)5Dhq9{MOE!xWBK#O)lIzihJyT~M4+4(W#hiB*?Bz0R+$OD3jN(Ufm4@PDA) zxQds`7L_kHh>uWzYu}0GMe-7@oOjEgFEJ?_-dk0#kFTQ($?f%3t>EzSu42Q+T0_6M z(9#=;E40!vqrEOa=W!478`X``ETk?f~5{qiQYgU}(1w&hK=gM_Pbs+w8~2wN&W zy)??lUiqM@+to2}>q)KgT9t&M`oL!*hDpLo`Y&q1srLNZQ6s-?)ejD=MfPK>ZZKU% ztJxeY{9#AL!omBaJE!+LGAv*Js|0+3lVcH}tXOSXKW?2Svt4XYT0m38&+9uujO3&h z@4|?{TPquC0S257tT^zpw_C1Mdd0Oko?=%0S`3HSN3n#Ld&8dnCSfDu6qbU}vX`{Y z67-RiW7DHf%01J6 zWvHi5?7!clp9@-#NAKQpdx4&Q>0WV*zQ6=pHFon{|M528#-^B^gI~W2eH-d;w`iYC zd!I+i%12OV`tu{eq)2bNmi{FLect4_@y{PbBUgGEgFWw}zU5PX_Qc2wam7SC>sn1> zS*kA-^7pe@g2AzLW@B^aDR?L;$&i|2XnG|hp2N$@McT^r_l|zPr zY43HCr#T$caUE!g+u#i4vhmLe~TC|k-f>yKIaH{0_RkYk@t3+2q z<#5e**1(r)%QbP9iu8(Hl_J;az{!Tm`IxTkSxU_r2_+5j^105RtSfiI@Rvxd!Z&LP zmGLa8ss637qN_|$a**Ep$Eijem7L1MHAc7cRSxdINHeUOI_G*jYR#(f*Qb0&A?M(` z6UGJS#s~CByo$?oE|mx+nE?2M2}3F>4DZRV|C>-|l3|IGpfpKH|7Cm){}1K_|HmSq z#LADm1gP#Aa?Eh)haJk>C2X|t-lY@v^XZ-fl1MvB_v!YDXbrXN_s6=LuS$=?T0}it;&B+Z?yAP(L)foS~ds}?HSg46p$HV{b)Cyn99}^g4 zh&Heq(mzrDBi(E|PMf|D*7D!#hLe?TM=&ot5icQeI4xvhG}M~p;Zzibd)uiG$2DpS zx>aPb)t(ZOn@M!Q zPU7w{I;hA;#t!11@gWk&g!U)YT->fzYz^5=HQ1F^3h*L*Cnolj3x7M`%^NhXHa2ff zM_EB+3$#f;DTPkfoMc}v60pFjZconpP|fQU-cGUEq?jCl|79?up#SU~6+gX`PqHRz zmu*)Tmm$cHVsGF-M^;&NjR#z6M6?!$hP)Kf73@}sSx87Z{A~(96!6cty2#bz@KJ`h zE|E2)O`e8=;b%-vDVw@D`RxEdQeq&D#blcb|#qw z_>mhWdKdC-M``gH1i(yn-Hv*V{tN{g&Wql?2%XOu^W}U=Y<47-Q6o_Q4F8 zFG5&P?VRJ4!Hv;fS>R~Sle(y)48gSGWO_8zyO_dwm*B;Xj|iDs#hYq-o|@lOdUci{ zZn+Y@#vK^owFcnrg&cHKEmLByx$TsUM|bY;Jtg<aKx4>&W zM22wsU{DIfO&+&KcP4>(e$LzXlO$io<#_{9fUfXyr~-^7Ni+eL#n(t`nZ>w;!Pcb} zF%??cWdz_ek9;tgy|+c0tH)uIHdipf3KJSya!t7@?GRk5VOU&{d`XEiHK1G41++2* z&@&oIC!ZexZHct3rP%$7|EF*&=ZtYse_Sjtk9yqt93SK3WN}PgtPgcQI+BhU#1qk!#gGD zu7)ac_o42hHsl(AkVNR=--xD@(mFzcsLEVzWaKDFw_WAP6^DsiT2)ET`}5>)+6ax1BS^8uUHSY?HN5Bt==m(R$*cANrEYq^MLI>k)`xf;hV8zE< zc)`mgSu%*{`tN=q%+(fKw?$qZ)9H{PH9qVQc-GMgtdDx)c2X6kRc~if#99DFsZ?Q! zm*p*dvJx`bLlzb{tvZLaj9JK(E04>-{rdEV_xkfMu>6{MrtwTa&x_ePOa(h3J*B?| z*Hmk;X6|m`7))2iR(#=d4%6%S>o(If%LuW}CuF4UgtmKj@Wc zUL|E5Y0!kR(*cAy1()(2JpKhGrmz1Tt@4G1(0yMTW9q4DXCKaoGQnwDpxLKt3bYaC zW!OB^>qhCthU994^d5iteig)i&NQS%>}%Z6%q=d zRtelZTgIz3?x6^=mD6!2rjt)VefsH#V7>%B>vHtb1Q?kxXPWkXu#7(!U2*?)`_s)6 zw1Bb8Sj{lq+V+IeXPRK1U`b~LN5TV!jW4AX04wi*QJ!@nR&ZnKz>9~kzfhL4^0+No z7uf1%B!V-GOEAVuFI!mqvjd>wPj~1r<4-Fzm!w{D1C9y4U$0f`5Bsz?E4OJ?8>0Gk zpOzBbJ2qZJ{A1(|OTd>?un)m^@oq7{@6)@Y37r1-Z(fH_T7fcw`4x&mCDX0X!lkXx#9Q|$lu zk6KP$h1ua){1tPg=+l$WMgK7N3lY7u_jh*W+TUZ-5gVd7HL+6+9=Oreo}wrpbk$>R zJQzJC)?u}TqX;Zp#sBYg)BqZYXM*!F2~__`bl!db{-~R{@S~{?MNvPi@(@LSlFg(* z^M!(-KjZN}wvVk>bQgwA^z{!psF$}~KXBY<6-q?u6DObq&}US z)a&snMaM#PyY_=9vy9bM{a<@lutG@UDTvD60U_D6)$aE3m@`7JB%=O;hR!TMNFi#q z93yuuIIBa9|85jk^hyWg4Z#P)V~d0@cHw*PoCT*WRO+A z_kJw+-3r>W$9VB5w$as||4^CW4`u#7jW5p~GyT!cjdV}2Hv*GGFk=1_VR^|{FtBGv z^2ge&@J;@gA9Uw#Q8rb+8x>#|Xcoabz1h_)a}Y9Z9Pajlpc{}03KxdUTS3Zp$4EAy zNs8&eWu^lRytoNHkFN+Xhs8#-1Ys*=PMXKY11v8#(K5*tgkJF`hAaFPr(g@~jkn;f zoUp*VFetSn8|y->%|;oj^JX42Gt$IJ#}+ zgh7!)O5!Wvt|^3Tjx2PkEVLsx?3$A~flP;jQ=uoTtXu{mh2F-qbJ(9#3|X2ilC~8Q z2Bz5v!X=3m|5oLJj5A2jR59GZ*oJL#hbELYIl>qq-`gAPu2n?1i{!y-j~%X6Y^ZE( zl{l;|le(^<{|(`^TwsFIDv&j7ff>9utX`ZI;BdYjMB~wDXWb&TK&6ZSZe#vLotV7! zq0#PrMTl#pjY~6Z5iX&qsrxu^g{ZGBXj62vsEMJm8N|?cDHO8Sv@1Oz-74G1P4M=r z0?y7YEbn*Jowlku6k;2rREr)}3L&!;YR4Cje2DS~YC~6%=diXBxX(z$3&YoZ^>}BG zlN6j9G@*OW7b)qGK>%g{x+^Y$9Uqq$qNO%K>;l(9Y4K9b_lEM5wz=8CL$T$&8a>GC zQ)h`b8FtL$QD3IteiXwlnMLEtw;%26JNoG{UXH|CMN?q9!1PfS9X%KwN9&d9$g%&< zyajzg`cAe!N{?b_RV1Wwo`FYy(jDSNk5xamD99QaqVbd_-VG8fX51%URO6^kOMR~R zmSOlD|Mnwd-pr}si3CRnY82l3+y^_;zDCXTsIkf-@rSI(h)fy$y01Saq}dd{|2Qk^ z6jk7vWW|EcL0&c%g!K{M6s`!QaBuW5oTEBhS$sD+SRnBtj^M|EBIfDo&U%7`#hCD> zZhf_n@Jn^uZ)1$r6_{MxD%o#{ujH=Z#t64)(Cjz7H+ah}$5s_tbpgjPDz$W6m(P-!kUwKf8bZg7;MuGFEC@5$z9# zG3C%H&q;qYkwMre(9!e3)3faqQ7veSD+gvaQ_|@ikNMKV!%Io7hqP#|7qcutov5Ph zkGB8KsfT%J+-$}XVr-YHzIH`yek==EtH3aiR3dbZ&|( zxhv4YcR;B5ZaZ{R#hL?>3#!mcy*$~aSea%`4n>B7mAS6A5u z@#&pxmdfsoiPD~xl{9hzk3jm1oPaR=&Ce8-VAa9yR=xJ; z-)JWmdn5N`n`7()MI+^4)3ta=dbLP2Fdx1qhKiHTjIGVCEXRXsJ4kjsCFg^6GK`cO zT1ApYAt_Rxke5VhMUz3llai}=jK8rN(UF%(kA*s8Uyr;D?aY}gaJKj=e^KzS(Kp!S zch=6!KO;lr|0xqXFh&ng$|X`_&Q##W28Neo*`Ia;~PfL*q<3jU#N$F=6X02w09538kP{) zm`##phqq(zp^WYFMedYG;Pdr$$m&=}VGVfc$Ys>u2EV2z172Yl$97k{H9hKG%`zsuso4;2yi>DEox8o^poaIZrmfX&5#x99 z;$?N(tNfoJM@*_b&*D{@T?I6c>h-F8hl7^o6rx>2N<526t|;~l?EBq2_{cF(OhVM= z-x|C-yUJ4HpT+#-c4OJ5`Y))ek}g!F*_B@{DT_ent5X-1=2#?3vIZW^)@pW((S2__ zCiy706;xrMmXxfwV>K%RcX~TXz^uL~vTY;X0`U^U=JAYT@oZbeOfMN|K}05p0|jby zsF;z4mgE2$LHEZeBd^8NJBK?ti;vj*#Cii5EXq4Rm4GATRN)99vH)8FXA$d?Yc@nLz_$|hj5K% ztXpu<~1oceMaVdY5dqWXfvs z; zw8HrwhcJ@c9tZB#P(~bEQW`L$syK%`kG0`t3el~H2=p`_-LR|iXz#uzH+`(hKF>vg ziAH*U#ZgX*@>i6`3m{67Syl}@<(XC z)cx~mdEn=p00s73VCn3kASmvssne%j+;NnTK(gbF0zXmU&Zzv3>IY#` zm>JD6@LF|0Sq;gKm-Ih*B!UEsczQ)Rgy;OrDv@7sl}>1t!VKXlk5QiU<@W;)U82m3 zjJjgAMSYd57y6zMzyY(c`5x~5^!u*tc$i&`xWXgD6BZK-|R6hmT{ks3G>AD2e# z@SP@*MF~VrsV_9tmH3o=R*65AqHrxL1$d{eQo=x1I_q1PrXrTWMFUgAfSx{n97%J5 zj+7x8uAY=;5e&5!M}bd2WVz4*#u7e3l(O^cq*qvtY@SxepoBJX2()7L1ylqBpEXr< z;xmFlx&Xs-#S#%$mORfCEcJ8P;9%WlXyzx?8jgHi2PAYS+IqNZ{y$X&7N`K@s>;QZ z>TVb?tnCE9^2@a~=q{=-_VQ`9AUTJMEa?Z2U=6JdPxpth8M3<@MimJ*=X0x?&i*so zFng7$)fD^SsYJmR>&@!bX9n+UPo7;qryNeMN2P@kapBpow?5QIl@oE@W|Q%cIClB0 z!LE(5e&8Hhm@SL*L^(!u+_s>wtht2|lU1rAQdDLZtZZ|aNV~JJht!Qg)Vzv&Um`@- z2^J9$lvD!$q?@KnCA4r%mO^V7-#?)JHIb?@;zzyy$2$^-;6ckO1`OGte1k|y8W4B` zS&05wM^yJ9#prpg77YTZ_DadrQcOvKDt*0L%u$)Dv4Cc+og%i&;5&#qDvCSpCN>GxI<;=0y{X3=(9Bn? z%~J#>zZb#Ux|6HaYRNKYrFGJ=?Wi^D0m<45u>)h^YB(K(3HGvZf-+HpBFd;C8xpj2 zNCtYpg17y3&$$bB2j;$%a6bL6Rv5!acL~srMR=A3XlZf(1={yfo{B75jUxz~ddz?~ zV@)wU1f4L(GR_LH%c2DwkZa3l$zbz2kCC>OEO-hhqu@l9;0s%3Md@5XzofYsfz%lB zn<`U4bt5>|VqP5ZJ@CJ0*%tnHfICIZx=5Um<@N*LgpX>+MZL{pr`m=L37H`IyYiI2 zwCIL&?Byzx$EUL2U)gNLYTU4wt@P}C`KS~oH@X)r;T5<9ib*UvOW%=G_2%Wn$GB!G zV?{sfJ;s^!0~DG^Y@@&-Yg$LxK`|7;Gwe*wGb1^LNS2k$r9TVfsb~%H-5>a-y!&31 zJ5P@Ve@f@!_s^3 zO3-|bk+cW@!+H_)k^H0dk>mw&Xy|IJ))E`V$49m8>V$S{o49?{#}Ujo zxkN$1(hq5KXX(uj{+U+l88vRF-tMx*AVTi7XHkOS1;POmW=-$g!6hxy%7K%BmMgk! zKk5BU1Cj7<{AgmG1+csyYDJC{MX(g7Wz=M6$RqX?cwT$9-f^ju0|$J3tF@@hHOKc! z5MZoH1$C+gLPs+YoAAdO1CwIbd`}bJ5Yb)prHt+kN2B3nbV^^vf1*)q zQGbTgw?%$62pJ_0XYm|`aUWj7t^y~#T+5PY8$9w$UM^(X6)4GQ*1X{^I5~{^NB1_% zfmUBa)+Q18Vl$zxtyyQoLM#k=i!=>X@MsUuYQptd*{W5HRVwtM-A;FjI3HXiA(!k; zs!?3?s0bmAK(8v<7SRWlC3x5>g;*Ykr7~?dV|C`O02GyM<8nX4QnDqHb6&!e!EOyJ zCfE5<{}eOdVHBP3vX3MN*%$WaZKC*~>6vq`vZ zR9mcsb$t{NGI?e8TkuD$kE+G3*F1{{;4d6R$BwKUJ)HgWEt$Bc{nmRO#2gxtt#QCK zqVOP>JxzU}H=;*14bGmo$MhQ29F8N}YfgKH@xICmys+8~M36O^Z;?CNMCvFdMwdBp zU2>{iDxS@9TUPkY1 zSs?US0%i((*}GEed%NrbC6dEY^cH1vuw_j(SU)mr&dZgbWP zHdu?8I@ZCi)S!k+mvucAI(G^p9WeEzDf zL_emEW7#v|B|cs*uPUoz!Fg77%Ry^`Ft#j07)p?mC!w(z6Dwa5Bz0e-Zi$K^ zddU5RQqh$GK+*tn1xx|Q5dA?b85T-)DKtD!B+Va2u~9mP5^}LFF%~r^lN!*jZJfJC zD<$G(9LWauUx@4p^7phdOU4pX#~d1^R!-7z{P z@h3PNCIdq&mCVTk%)QG3UC(9(E5=Lk2piHJo2a#J55B{6A&=Y8rCb6H*h;hYzMXiQ z-R~UX0jl%sUw-IUhX~fA&hXC}d#a!=N~drnk3JFlkP7~bgE9}RDp^fo>r*AyJBZ$# zs`{Wy;Fi}%QeSV2^{Qh~jm)j5rMUyF+L@|7t0Xm6nbk>y+sC2{*+ajrt0Rov_KVXsj`$2 zM`kyP*YC!JN4pz}l*L zajCRz=gCEq5pSjy5cJ~c)nT7fxR)p4N8xhfx zJ*2Xot4JS(gmu;)TUEb_9GC-8v(Adk1ieST7}EkAXO1tf_@}`hu(yC>D#5Z)vR@Nb9 z`lKK$=_|5ZU~8Qg#rbZ{D6()uOP~J|^=GiDLc0U=yKdXDPKeaGMtUV*r@eJ&>71xc z4x+bU9Iuy}vI`YwLnFzt`i^kne9ikC$_nf>7)Kr#=ZXx<#JcE9g9U$)lviH7%j(!e zk$YikETf*yCA4~3L~9j4d;A2enBd6FGcfkR&r(;BO%rE#Dcx&>p5>I(J}5dNEXk-t zdXkR~pQg^Zt?~x=WkCq!>2$^y=oeywng(W84|E0>8=|PO1Oaua?%x}Yqdrn`4xc|C zK6x?_N@TEHP*y;t$oOGhIi}(0XgHcglZd&UEHPiLb@*^TPX*&`8&7F&NLAt~@_@M$ zkjz~r%y?R+^94Jn+g$(4)NQ+d6Q!HLz)2Zn95=XLmT0jR^*u#ar&A07Mr1@N4*#Jh zWU18YQ*K0&dhVpKMH5&v>;=_ASyY~^TqOX^-vG;*Xa*5Z$7r52w7BgKcz5gCgB-N` zbwS2$*B_gT?;V-#G9(&Q_Kmb1o9D1e57EXZhlh!B<2 z<3?>YAM$NO$z6yC)0RK>q27-%_q!+#XtlwmuXJ@uGw8b+?JWudmHs#hh^94Chd&6`kvdt*TkVg={XG0ApE;kq-QcjFwv0HmH#5wGa69x zV;_jD_*22j8E%plRp4RaXtl+_HkbxmMqdZu2WRmQ;LP9Ze7oCw^P!%Q8t2ZHUK2Nd>EW!R< zgLrXCZ;>+8yHF%0`~|F`&tdWI3bE62mz84Bck6^&c~vpJfMm&K z$Mt?~2Jx%uMj|JoEGlC4z;Wg*jfX8XQdIE*bY+dRT{)*rJKupx@I* z5zEo#IP1s}+nX)p8B)ib9m1lc8V-ep-Gl7Q5+!gVfL{D7K>F3n5$nyf!=ho%h@(To z;L+apqu;AB3TPO+P`?mDt4vo>hM{RMt&QFNvdGS>%NReMmqk`Y&p$sle&3x5x!Kt^ zSx}A8Vw0-mFVXol@n!adY?vO64?ERiE+d~}0KUg*;qWTyHwqimY@6nTC^gh)ml#-G zudLz0ykOw!%a_jwX0uu+@p;5or-oqiXYBn}x>}hDZC^g8w_Bntl71P-qY*Bm(a0#S zmYA^W+PPeQv)(5o>ix*DagK=PV-%gQqPx)&aTstClm^a?A%IPMj!F8${8c1aNBAS( zeYZ(2Tn8H~L-s*WM|`63yL7c($>S>j0gUQd)aMUJ-Cj471U%oFjlTU2kYRP+BnVf1*4k8Sx^?ozTlm-sZIZ?rRSR5T+ zk?lmxOwZ^)ac>PM4TnxWUkHcAZeqm?!6L-U?!PQ(XE0d-v2=F1xyzWEo_o{FAdX@LsQ?I$>tK~vb^=f~mbam>9QheuMw+bB9-}UX@ za>D$Za8fjiJFd_SMhXx*PvC!F6y+t(zYA9OP%Ky^Am=E9=Rf6~S3E74l9cU*rYw?p z4J(b=z$!?Bj4CMpTGs$re^nM9j=Vrq_T7qtmMNNkt{HX6}#wA`$juNq~2s&aVSAbl~}#3 zy$4Y^^E$#JyvmD1S)EiVe9_d)_2CEpcJdoJG#U5$0rB8{&$#M4^QcFkkglvH!ibpO}99X-hBMj;@VTPiEg#W z3QZnGVjnLE7XNUuD3b+od2=)gHw{YSWyzwFK;&gHgnwbJ(I%}?y7RH_o$7jh%jDDu zaOrs&sDb}Eq0A*hDq+jK(j>>xB#cp~Y}0$0lk<3+$0|NJM)Id*!PRCs8_ql68{zNX zr?G1WZt(0Ag4NXrB2WI?8p-uvVYrAVq#Z})c7dVAMh)$+zI+osQ9I`s;J$rKz{VXr zibYS|iJF@FuaidSo+__H67Mf{;bWx!h zXh~yQ702)c2c>SDaI8n27G2 zveY+fmh;;U%`S_oxd6l}>BZ~p)n9x6*Wd7woWgfhxRt?P4neVN;iWPvJaM+`_Aly| z>GpsxqGQg_X*`lebRw(%-fwH&88ghkO6QahcGzCj9M^322JZ!P8Y&#vqe|CQAgF@y z5X;v1I8p-U_NKCzji*jmaY=W^fJPpH#X{A?Ri5N zvA4zKsdJNIGRXwW9QBc>d>oxG2EBm>sIRkaMI^^j|EF%78KqQ$ZCU_nX!WPj{Smj? z5_jRCdH-C>^A|-%X7*G6n4A{xByFe+CA<{co5xvDUQ!j;pBXPBwhsF2f=#my9r49C z?FuZ-oO!rAbj26nw5uZpvD?v`V`A;u&GjGAUPOgRt>t!HGo{Lzno2hIF2K^ww5Mkk zyuX$?<(4%1Ut=RMQW(!R*kG?&44^2_gS15iO2=&$uQ2!kZP}>`MkMaxvdz%5?V7As zPN29(&qTWioQ{mSmc&yJmYVEFn(@aJPWL$^tqouUs#5GI8g93-x%<$})RkfPPzqy{ z3VqZ)wJ0s2r+}^C)tuSXW?YUTxgVZ+ zYfx--S)enAho^Tkg5B@lef57%?!k;q?oV_Y8K0D6);cCWO*WTFl3SziRnmdc|yS`JJ&^h z8=J0YIAMx%!}X!`eJ1ot zd+eF~95WT=qvb?5Mtxe452$J%{!Q4KfByGuVWU@G^0clADs&RZ!_mFybpeMke4<~* zYqHJvON`WjU+zpdZVNx@ke;AfRi&?O=*Zp8NU}0Z6DGCEx5-5u^(RLIdyHi= z#qDg@DAi?q5753bJj61sz^Fq9?!*}xf*Pxx(Tv7q9cwD47_s4mM8m+reUnc#S+>UwQuFd{`5(MQOIU~0#>BJ;VOepTBa8x5 z=;HbV2NPN&L%mRlY&$mOvO6_~hbH%HCY;%6s#f}4&(5t`0hAW9(Hw$}nB=$5dxIZDVUo=bAQXcqOb_t;AGY(g zxVkVM_*qm}#7QQl@_B@24dnrY6m-fJ)kQc-Zf?*)h4yu6Gt}ipKKvMNPT>$olLL(A zq!jS&WwHNw=$_x$h-5tTVmtN5jjmTa{4s-COcj7?46?$PmVr0zM0=Gzw_84LyBtzbW(z4QvIaf3@YmNs8Ijg?PPqa zoR@iYH2Q&#Yy1Np*W?E}uEQVbxQ>3H<2wFtJ2$cO_zdedHHmDA zITQANc7=USIx7h7S{AeODs(tA$&CLjmKuv|Et+Vrt7JL<-C7UZ4zIXC!+Ut>V^L^un_r#fLohC}Cmt*g6sIzB}jQNi?{9%%(F z2G69tZ`uRkMLhSIQQd(cEC!jV^{sVnSbDVw(bu?Qt6sy0$?u=m16&0Q_Aj?)>-H^+ z4`ljdp_;n4H?G-A(wfXhafO6u*zRVTC9nWBnUtN{zP#43dSc358)PHiKR>{zL;I6ii_!2F2eYEoU_9E9yc=3?(4Q$^>a`kdwxN zY4nJ%60~!0>dyU#SHqn&j!t1n_8y$vxYyWrgHQbZ&Fl)|D_CFTSu#)F!3e=(8=s7h z#`ThJ-Uj?{-#wz5=${ZYaLDGdAnla!^Z|(oSf#EeZ*qRmRP*nHaHaJvM+ln|p|D^U`*j!Uh|Vk@uuG7*-036H|u(um&X zatqa0;7<%xkqv#CEF|0J&6qWKTPS6>h_Sxfl1OpN#54thXDk~X<3{~rWWp=SUN(OV zNyJGcL_dpFHuN9S5+ZPCxqD_Pnt6+IN_wgs{5+iUiZ`ckA!kqx09pRErJHLLo; z#y-SaAZf_#Wnk5=U`ix}wQ3jh@kdplj!H8f1S(T99KB!7PtjOj9z^Ds*JV1zU!WIiTI?+I^d6*DKmR4NOVL$QcjfAq)p$QdR|+dp z<1|;zwZ15SPRtgk-ZTO;QK0SA)1%W&j7aND%7=5(jxt$YYzI{N zAF9!DqrXReH5WFtO$&4(3yO$x?PlcFH%aMP(7DuCIVGGPoWcluk@b8a zXa%-av=o3~Di(OWlq?WRQ2lyOwhhNX077>RS=`7iqSIh&rb$BBfi8o@k9;Qbpe!ti zAC*sQYjwOET}4=9ipE~%^i;Bm&Su-S=B0aC7H0_&r$Kk-PkYQM2Tv5ieoYCOYEZOp zl43?Ms~|UvC#_W+w5b65N@}&`YflMN8cK|#+QO#w&Y1CBS9pE@rbxhULB-BEKh3x; zA$(N>+eWml1Lfo6JL7TGACJZZ#peOPVc7}YPIZ*{ul-bhbd<0%#NkA37nwyS*H0NGzJeV-a*PA_ z10lL~r%@AA(yO~zCwYKQ-0Fh`Nv6hPu-U~4>#dq)?r;~%jloStXwq%q3eP5Ynj(P| zKKSio>BYe+zv)cL`l*nDKBec=8#E+9b zuaTBNu#w_6U4!r#*@*8$j7o%<&ChHnmH5w{+oFRA|5vj^u3@s&O3fh*dmWZc(4N z(#`S9PiD)!$cn{P)L*3=zYavFr70gr#N`rsmOaoKo6TkC#|D^bpNRB(Rw*yM@(g}= z#;4_!up)Bqum<@ZlBg|=hy;xSY7Pxrk4h~%%qnhm&_l|T3v})fUWAWtCk!lf_60r{ z{wE2%GOIs}v6FNnQVhsdm`sm1%K|S`6wYXH>tYbkX5zn+XT6<=G$6gibUHh?U9t+d zX@;pr>TiJu?F7(YfRU}<&f5YXt@Y*bC7cO|?-{YmID`6Re_Z4O-0J$?FuQ=R_)OnP zwTJ<33ilnV`&9JZYQWS&&t@dAoX0bhu7(5K5Pqt@@z-!a)?`=SKGXY2uiG3GMBpdU z6b{03R@>9^r;-0r(vRe;c&@=`uU|inz?zTnZ%~dyXCk4T1nycMD+8!v3Mn9|_fpIw2MN^cQxc=X0m!B4woFr_v49(lp z7uyQ;q}*7PTB$xb1H0J2kTY+N93_@ZuZQk)1&e{sUUE>m%=4PHMs({-vLTU8wx@E< z4N-HO*(qsI#q^?D*9iffzC76wFN{{Yv(oqG+V%bZ17MCSdZ==!^sh%kWOfU=lpRRf_zGoh`de1ueww2Bn^J%o9wD#z zvx9SjQyRpu9}Zl+c?E|}mLYnh|K`;bTD`fx#X# z%mW zuKO{rL>fJ*86MaJIH4g{>;y1KM z*FetRE1NzIWN@RiISO3XPj*0^Dn227&l zWk!6`*RL@}tgc}9O>FLPs-;bhF`#p9*!Axp*sO7l>fJUC9uvc2A|zH%*>OCqzh|}( zE(O_FkFOST4)7tf9dBgnn?3X2{zxrFkf6zDpe&r?RTp>4?!n6(qfT}l#Vf*fpCY7^ zw&}m~fzO&{qf~?o8y*kVyU%6O!%ryczt}7_-sy$I1E0(pDCgEdQ=5E{m9y9&*B!cS z{u3Wu4!P_n)}(w*dB{sTFm}0h6k5)TJlvi6^Ly!1xVvrIED@=fcb!+TF@|}<`ES3e zVc?--A6v*#k{Y#Pf&gi)SvhY>xmkqG%jDPFl+FA~uiNd$0LHzC;XnSSo+bv17Pfbo zS**_c?`SEr?9FQn@a`_Z0Oxw!j!Vx|ON%&9sS6aWLfD%63ryOKJ!kv##?lw9kWmtL z8Gk}0GnjW`WmiD}-Ai*YMD^d;2VTHrud@jo%?A)uc-;P^SF3)AYNwGd3{_Ll z$vL>To+4?~ete?qLGctCtFpjA0mMTr+DH9t$N1_{0wH|brb+5yTSXUXa>*K^X_g`T zL;W0o^U7XAa)TX;B=$MFyW%(GgzuZQOZg7f9<1iS+7`fTQ22#?{{C=u8ol`RS-bwu zldi&?ep%nqK82}5NK$t*-I6}1=TGtQd?oJXLp&<^AARA7ehlw#pzB8Z*&zD4_<#LN z{BM$X#`CtHK?7Bx{!YcfQU-Xp+RkB-aFurrcJ|nnWz|74j~jCeTaTs}+#?;`N`X*<|YYv$JUOaR7WiZ8sJ1oVdQS-J*HdifL$mfv<879SF7X4D*t! zbk4{C+vwIpepOQk@J-{sPEPD>nI>3*5E|)WIrrN@<-8&53!Gtr&ypdZ*5G9(*U@<7 z-%MCdzD-phXg+4VUKcV1+a$RYzMJ%+r7m+**Za^q~m!U0D1mqOO=75pLw&)~gIGCN_N0Hzx^~x#!x74S>vYVYBu!zFX zab1Elfpfx~M>ixoviCg2dE`Ct^&fs{%jh=f9=-DqGp={C?^a@W024%9P=0@{cTHy}h$;mG3!8xq$0T4UfmqHfB* z&CRvO5ItP7iE4jPlmuL{kXoX@GM2%v%FUm-o*U9w;_JsEIBb(Yo(rWy#b=NuE=;@V zoC6Bxfyrr<1H=e;@p;6DyHeUJuZC)0W*uToUe)KKHl+b0$evYWH1#VMh*HXeXoK1h zV0U-@<^$F}wp9w5Qc6c8+7j`$hOrgnLGx~O%%Uma5LJnTr$w>CUPxq7N0Tlzx~bNH ztC!fbo1~(H-jg9$%=Mygx8SuMxmBn5ex6_rcd;hhfv=T<3vFarIblh;%k0+9Wd*`g z#WGk}hNFP93IlR__>Kf)(`+c?t!8=>xETW$&G0AAe>C51?+bz3*IdK>73PRg^C+hS z-LD~CmPrz(rtck(Pw_lB9^X0rG49s?EEn|S`GT%5eKj4NW7JEUrv)J$X=C18t?|>% zh>wl*9B1}&I4>_(s$Qlfw{%7^herz380nwMA5IoAn1-A0qyFp6oKO0)xURiO5u^%q4py^a~WjL9YUAV{rJw$IFRFEReju0DP6t!1J#b^klAR+c7cj%Y2PD=`kWbwNz-Uu=r%8a%w z`FWs2ubU*xw737lr;Jd4w3d*05(n}d2=kRBY#LX%i0Dm6Z(&~^MNA?A=4-WKKr5Gl zV^u60`*S96-J+wi930RQOMDBf0f#dfu#U%!#ai^~^7-l&pOy1umWi(8p1sZ!EdGI( zF*7h7VSnXJ_m8{z;Y0=jf6(KgKO9o*W5-5mo6q zEUus8QkQeN@S02q1#)1XL%pq>7l;|UOfo#jU_(^E3axGIKVGmr$i@EfW~RwyeBc`S zbgZ4_XhbKoXmW}wgzq-!USpabydpHBCW?5_aj&%+rIBLgb%k~|nz1{5S-)~_k>Fmw zUeXl#)pMZ-?@{f+fud(Ns|n-9d6B}_3jQ23AYr(Lw&{O~w&^!HKK%Sa#A+MGC9b^W zou;jZ8%kP*6iXR-mWjn~WDfNJ$IvM!_6dvN16q`t@s`r4umh$VD`hAEA#r+^7k+nBLbGVB?P(K+@j^0II0Wb#6 zD{>B|hlrP0U17?soL3sM0q?0e7l~q(>P3lhOe}4utF)?Y!Xu}iNvC?<6uA2JWl?Un z$k~?+QG9EQTdb27$8I9RE`ql%iP1-8{C%2v6nMT7ortR29c%xLX3f z;WMVpi?^{im+96%X>n+6!AF&g50c;W>{;o0mzmHntk2>tRi+kTZLop4N@3cv=nTcE zql4&e*&FN@Z?C^J$!U8p-Vox037;eiE4PV^m^-enKl6M0XO~+u$~PfHw%KDnARbq# z9^Zxrxf6@*X6Zq-Ff_ic8c2-A?8GV#Txh6LEOi`bqEl?#p>GsH?RU{P$c9ia5s{xl zq_Sb@)BQw_>jfQhDI@qBVaXZM{7o9AjQ1E@NZPnQEV-&3F1?yvqS1pDtV6I^!6?ay zc75C=Y`n)X1474vY8bkxeUO(+(l+iNH__QNR^WKxf>p6h7T`-%+nnoY+UjRo_@ogtU+Z>dnEmrXIHD3?9uHYXbfD@}B zt#Bc1(C}agV^gFw)E*L&=subT#RN4RV6^BLOQ9Y@PlHK0tpyGyHj3a}VRRC+w1l*- zy(d?HAgso!pf}!ALK@L zHoT+=!j&B}7Z9^fjVY2>B>@ov0XQ{l(uV~Eu$pDr2EXm=f0BU|$wJ=IwyJ8D9tNCT zQeC;eUrdpqbzmDtZ(hCnat}V;vl#sMl)aQc+{TzM;4Vy=ghqY4IVE+cT1sk6jzwlJ zXa2_hyD_vz?L7&=g@<(&Rq6K)U>6<;VO{vz+J3Asl6()f{$qwwk=zHdJ|;Y6FHK0t z8Na?r`6wp1WuBms>5|%v`jkZb$3Ez!BrS;L4ocEH^t4_)dT5K=D~PnT@5VYk%fmNi zy*J4qF!&3WNuhmUH*Ks9a3W*yNZx|U01IDu19$4g@ie>k)jqmkirTD6_RFn~fk`?5 zduX<#u;`3(XYAcnE8zsdhw3@16QP;zA|Yo1NqDMcnd14z{-_1|| z+AyjX^puX-*xK}X( zYo8U{w2B_8cKuukClv6Lr)_x1V*uy_cqR1(BxF-#fZV(M`6&iaavs!$2r8C=1j58cN;KO zk$s;o_OB#)KP4n?A^*^5W%>Ap3C`AJq6_^0rw>8_BUg2(DQsi|%;1;pj3tBGb9Y85 z-4jn(A@^zpQ#F2nc{>HW#uKJYhORPh*Bo6f0T&20(Ro%2Hr+5K*A^_PA8ea#)tIPL zayB|&H&od=+vfm#9BT|>n$s@tk&+=jVLITnAu7Hg2*+CaR0+D{_&%&TO!CHt9GN?Y+LDvL(n~}b+Vq4$YM?1!ZKib7QA+zAj~+{n`b8qFw6gTk>>{;v3AE;>3FOo_lwBI z+B+z7LcEwbm(!as?y2N^Jm|>LMk!S&Y`I+>1pk&&trAIv{c=jB8;A{)qDGahQu)`w zNXuu!%JR~~!ka2My8ut|Fi`oOfw-L5rFpvc?gY18Y=7WIs%rXHSdQsbURt|`8HgWx zeqp>`x1pNxuAJe#mcXr5PYiD3vBL#20 z#Ar}R`xmpx)EVupR89YPzpGunBr`r0SLDn z^*{Mi;T*THS24fC6SJ|Z-rfwS1s*P+B;|^-$I}%`X(n|>33&VGYKP@9`aA0z3a^B$ zZ_C72v-W0qIAX8hAABf^l4oFxZB&X8*H=|yjG3llo~+SLvS=#dm9LeCD?H2+p1&xC zCQCJi%5bbTI!(^-EBlO^^jgH-2-fHQ09m&BGSup}IOk3eS-t)6l*^}7;(o~0zABlD zHi5e5(_~u0)DNRq@flnK(JFiS)A%ET~GIjfc4x%&HAyun=&Q##g>ryjXcTUsI; zGLq3jbTmGuVS9*dRyd_pYw|9hVL|s|iyI$8UblIC5vLgnA?s&Cq}B#`0#-!9L5BLv zI9tJ~r3xt0iT?V^=KW z&G3ug$EXqsJ6@5km$18{!Lk6a4PWNuq!rZI1<0s~SesFdt)qht8C3>#rv0Q1z1RV< z*gPD8E4Gei8kYo;xkyRa*#|8K*u)vX7_6$WIORE)+7fIdG>Ar=ZsIj*WKsS$8sEP+ zIt{`do9KMyQ+ZZY(L=E6ur0N`J);(*1w)Urc8pZY8Esczds=dIwYyU*aGrdVVn92vgewLs^IY=ly*vJJpa+xx1gShjl4dP1&sCoGgF3NQ%|7Q#{U14)Os*zs!m2-;fE>EyVa6(WQ%J~@Qb{-!DjwLqteA9Lk%K-|^E zr!)$?Qst4LUry_i|T3d@WpNl$mq{f zp^s*4Uh)?8#WF2^;{vW$Zm+A3D^W&}9y7vcwwz30;&FKdPFvv+NT`+AOM=+)8_Kpe zIGFl;iG1x=OL7}FSE->Uf}Kv9t}T+OHtH`VifTQqO##mZl)|`~A&rchJH;dwefHUB z_%-}xazf)(n!{%|OXn6m8}%b>bg#aqn?7oGHA^*1I+_g318y;~iF6&2wFpUgjRS|a z4c)V?Jix0M{sY5xtXx&^gw#Zbnq8jB>T8LZKnIc|CE_F9L6y$23KN<``>;TVi__W- z3>>;y5;mPDa%YTE1v%Y+5Xt{whyzBs5XAzgC;kJR%FF2F&Jl%EKgQIug!}lfDg|YA zvtjCd)QskI`=@YVK?4Vtqy!!-d9uarib_a?R7yCCR0N)P;pNr5EMTWwUU6Z(TWM~^ zarwe!F->tdyDR^Mg*vnH8BMc8g`HrMVgy`}=a)s9%_F;dV1>sAT#X2ote8qpN@;Zv z+2At4(&}BNCKqq7TmvZSolzBD&w~f`sL5QX~lY&f42AHTd(a@-k z#5?1CcA5qLvjndhoZvLN8=Wg6TAml=NwJ^|7tX>}Lxaz;AUtf$n@AI~jv!&!;tmQ2 z1&T+5MRmbh6N^z4#o8Tx@-|r5^?!Oxh!x7qOeVcXrN~Z&l#V`3b48_gXH;?IPDxe+ zf+)9n)uP2};0Ac%o#?YO$N1|13LfxRb|Ta9Kb6{yS5rs)EBC>42S*oEd?R&XqshC? zD@TB)E@4FTwPtCUkPHm^pk#6R)}4N1i43-n`3D^isN10`G^=B~?P@PKs}?-lB&AaV z>G{re!Iwi!v>y_N?)vwc9V%|pFmR1am3=d!i$~GZk3WmPqTTUhaJ%uVfNkiLfTV0a zE4V1KxetMbc2>z81Mn7!8;|d2l;%W;#Bkth?pU|U*_B;rrYn_urr&PRxN{?ysFg+j zy+=;WzulmD=SHuJ%7;KVG_H9JaUKq2z)W4>v_5DtEU*7zW}#DdN<)$_Haa@Wpq&>3q{;ium6;;G8_fg<=Q0E<7nzC-7vUmM_-@uWw-2X z!P(m#eQ}QWmR(`a9;p^~^!17_yG>`;ce)8unyP3!7{6Pmp*=S5Y0Vo#!+M-Pb|Up? z#@yd0M!%oHq^&IJ44B#a^m$3-Yc2+_2Ki!kl%GXC3cp($gNokm5$fosnq7amh7%_k zw{3@V!HW6cKk#dAf|loHGKKkxvnx1UFidc^xs1!*m9bzQY;XY9=A>yB^*Tpad`o2l z;8|a!umMsXf~cSv^$gXkS~o90eF^_3DKmxISW8|DQ>SQORn}UiA4FhL?xul)VMpD=f_qe1~c{1cCcSd=bAQAcIOu z;8MmHNO%R|lrbxph2h+7WK~c^m4LnOecHYBUfbcF@riWja*D#al@F_8Tf(lVC_=eR zUh_@sSEOc}!0ohCzjyD84x*zY_&*y3ZofQ)`sst`&mX*c<**pRJHkD_xszY= z1vhIQR@3|<&4i{X*#0wh$<2CztrwBREtA9-+^ls@590o2Y{ZSzja85)IKO?m5I7?N z`Y^zEK#K%JB3Df49W1fem$TFvUq4Vb;u9n?LY%*b{9DHru5}FT=0w$s#orw$64Wh0 z#OoS93vAB%Y<3|OV^eu*RjJ!UlaDN@$;lB765Zg~M*V(QY)Ho|4$O&>uCM?T-X@+@ z7r0k!qW)QuZ0M^#Lqkoa0wE6I%3FRPBDsAW4Md5AQ&FQ3+qEZ zh!*gM^9J9|X2s-1pwGt)!-1tsoT+2Mvei6Jr*RQ|F`E%GG0p~fDp{48q2&}!ldJ&8 zyIth{`h~kOr${)6FvIUV=xFI5Z)dWmIXY9w5hl)zPV z4yG6N0F(zfv-(0}ncN{aH!>{pCoRLj2zwy1w zR`G>4itx<5hb}#v-Y`T0$0n{%jZ|aD*j$2!uJVcPk*M$rlfPCDom}_fT>mp4cGD_f z7S+ZnJbAxr<*ijatqR~yl&iUnN3Z46JNKjhy@}(JoN}87(fvr8Wpm@+By#n|cUCev z)uQiL2mQA^+64{ z;(R(+Newxy?Nmvr`BB2@69$?8&-4vdvt?0akqtSGi3|}e0{#|VR@g4vuuzOz`!EJL zN2*Bp0$rV}sSs^EMuXQ9(2l~>zUMhsH(_gakAR4H}Blh zp@*uN&8!q-Thn}Lhc=N(H?2Cg$(MF$6AOkqwTKr=z7LMj7@SO`zciRd)(3Hs^5iIM zSR7H1K}(a-_)tk($JKeVnOY1htz$5kcXMV zP?EYd0*3FE#c-wa+GMjaO7az~-^(;-82&T(2gb(+H7t^@#C7zlhn8CPSJBaEc+!|( z+B7o_1ky_m4alXA)4}(qgZqXOzzh3(zDz-;Gz~fDm~tD35XC5%K>gvOo>{Vds}=@7 zVNF4S6;rDKk5e!Uk3AfjJ$#$+{~bg)XZi(N&xqnB{=HamBmcIM-&H$Zq?PEV`qDLvXCGa0-MsA^JJNbue0Jh}Z5=|H=>v`vx_Z>${ZAywDv zhP4fEizXbAejNRB_K_%z=}8~JXol1joU5>qt*9qnh)Zw&r*Y|-!c+HaES=ZNmNlI= zcFAnLN=$t*&(nC7M$cmmLQzl>`F=S-EuYc&^z?pB22knCm$q1@9tduJcv~$e(Uc)Z z!i_`B=v%Eh`i#ACDVkUDv?4!z6_@9Te(c3&oToP%=jm^CoTyrJgK^?*oyUo=s`2f| zIlkFA$DPM{Shf!Gu*)DPHyh-n^B@tlaC-a6JiOUB4?B+&p&z5xaq26I(&s*5Vlful z!VS7I13$Xiz>oGC_~iBze0;NU9>2%0YSLw#_ii@Md!5HAeAl-f=gG~+dD3~D@$JWW z|7K(Celo?IH9~|p4A93Eee0m(4r4yO*_cn?)4VngQFaFz=J;lZ)VTX0b+~hxcKPhb zH#?-p@wFQIZ--&F5Uq%+B}4X_Q+6yzHAVnhgYy#V?Jz|t{ePfe07SNLu0Tii*2?u7PAqMwjZ`KGn^{t(I?Z3=UuCUml(QVlxCT4j0{OyACu1Z3KEfQy1FdN>cWKfl(lv`9M6cW2WJ4T zA=7U^dh$dtpgVhSU4U-+rVr1EvOci3bjf+Dknf+9~k&4TTQv zFPBsPT+S7$73*Wg*3TnSz8zw#iEwU{hH7hnbjADYutwUiEHrzoQWYaRv|}|gY`OM3 zGes1=G(W??!vA2lKvX0h7*SoE=y9CKb4=2zOLj=iRp;qCNDjX(Gi7UG9oIST+_QL% z__;w_TspzD@1=FtS{0e|T_W;yNqFzle`>jXnqk#fV#{-x<4^w$W}ila(bl|htLFzb zZrB1#-NQ{pMV|EB0wmK3dxQ!BZhmL(xe)kGb{<&Go33MjMOXi> z$Gif+Z&OsuuA_cF`;4ytU61=Reb;r!U%_JjU5|E|V$!Y}A9j<&((#V~_Cl+ASkazlWsg;{DazTEC+>mRCSSNi@35@fG3YGZLH|zYc4Y;Y z3fu4uB)zm^R2((ntEpqR~>?B6h?9 z0T*lr2PHpLAbg1I-(vK+oqh$KK7;@NbdKU+ zmfhqaIy#8%4R$c6*;cbFAX2xQwE>x|H$-bISg!j`^3nmoQsX;!2UC|Mfv*GuyH&3X z<_qS%f2pP)W?#!n*8yLSXf?hbpS^Jhvh^}LB)Y~En<^dwE+RL0cz-xP5x=bgGS(F= z*5R!m-5cFQ;@#_aw75|17Pi}+g~D=Oy;j)wH0ejv9ACm~a^STI&gP{b0S*e$J7V{0 zBz^1iAMDhUSAProT+K~hmgy#}B*}l-Jt$Gg%%V6g8@cBB?w;1u%rKZ9&u8FQHKii7 zn=G93Jhk=J%lxe>mB~)qFGL>-bI?j4D!EL!N(w2SGd!y_d@Zi2jLPK)UU`(<*r=l> zfBxwD?|cvjlM(DL0IGlZ`epQ3ouScdbjsMn?_4f@iMvGEtXA&Gfx4izHa8r#i{R#A zv|aCL`wYwPmON2H!$LOM&$JyWbZhAu8j{@baJz;nCh|N{yO;M{Su|J-v}1ff?jpE4 zV4E>aaZUk-xz3mBu9A%$nn4yob!gIYh}Wi-3!pU&HO8{JH#`zPEV>0J7=GeYu6HuL zM*{A00i1f%5=ngMO5PiFxd>iMrTNxn>Tim*dY86T|#*TP3ui$3=PoKl1DGDD5x;EM6Hm{tQ-wuc1bce3Nj<33E!ZR

        pRx?jqQV4FnIjH=;hpYh3z~!aP?=m_ShMx=Ctgr3{DbjMM-{p9|4YorsZs8O-SOb ztPHf;8bnMkH8!-PMC|&WmpH;c#?ec-vt6T4USHOJN zw?5o1wy-+J_Yds48yM=DohBEUy^ICrbzmy_8r{+oWuSLgX~@=Vvf%L|#)ydZT&)L{ zTfM}d$daS?R7WZ~A3B-THcwlab5u0e1R_%LUIeZX@`6SEBTWw`TExtsnKaS8%Ae~= z{->WkdMzYdkF5YeE5nuu^MNBm7V12WXC;arR=&_veQV)-ikFIH_FNiZXoIoTUmUtX zEkT9}WoAjbQvWM294r1q5H0Dg=hWjdcb~v}S4cgwfz`4LW1-M6t_#$Fh*7Vh3I5{w zQB4q-a5Dy(64)W6kv+i4R$amKBAAJEB*!6*)&Xc{3yv5m`Hv~U<1W3+leC< z6WJx~;7i3>1KTM}Q^NuUSEX!JBbC3C8JHz!8^sr`*R z&}=TS8nm1-L{b9+mTd8`u`A=i*ZMAXIT>`7h7e3if6rkkF?nhG0WFimDSS9IIP%gK4_iWb-7Jef(bXEZv|(H9<&C}{b+ zm1VKvn*iHniW^VC9aA4 zI+jcn-dUj^PlptkcLx9DGICg#kQO1PFFfg$P<>Ts#S7#GWqf7mE<1X;HoE&re ziVAmg;i+7jxiw;a{bd4EdtWP=F?S9xrf* zEvh;xV!#V98kxSjVZFqYx;r4kfwmJ##0;5dtG5HtRpdjq08Bu$zo)HZN1JBTMB~SJ zo72#4Qf=vp`kX%0=^A#f!tv+D7Q;kCe07(`UT01QqJW_()SIB9qjDwyMK_ZiS-N#> zz?u4bl#(BS4MQBSD{_gB5-;$hM%f5cKP*M-ciEU|3T_y@9AaCL(O>RE%TwJ5r^*=~ z?|zun;>Zo1Dc^2KqqA8C=Lm*SqJ9J?{CRQ}v77LJuxzaLy1$g@j|^?PO|!XW`Y8Ge zup`kF)_KPit;B^*1TnR9CAhysF;NPN=Waii{y-I`sVav#cmeE5EB_MEnOe(fYBxBsq)e z$;IHmgowU(sJE#0`dET z5r#NaxDp6FgSkCLp|iAjhr$dAeZhF<<9W^|4mb?=z=Z}Yg92~&m|-H%wCO~Zbu~Q> zs!P%<+Z4P2tj5h{?XX+o=lHQ?j4u}YHk#`5RWu=jepHpmyh(qf?7D}N&5L(TIW|-M zdW(;Bo@NDY*w`dB2fxM*!`n38-2a0=z(3wSU;V|&AN;|f>w?h@GQ~eHo0Cq<#@w}Q zuyWN$*Z=JY)@J}FM+=}?Co22ed@SYqfwg^5nmfghzL;;(CB{;P#`La#UOO3a>@lN| zfRhs6pb!W1G;(K-i04eL$h$nYgK)-3H<2fs%c4B5xi*51%JU?vWzpl*Adp}L?NpCC z9c$qPXy@X+@<1rXNK2Qa+*11JZS`{3uMVh!G{JnJSRb|wdb8c(PR9PacD@DRyy*8zQ}ur~Ddp8u+KpOyJnKd=k11tQ7B3m> z{K9XojpwY5Z^>CYU~=r}p;bF!SFKG8%xOemn8e?HqzHmz22Xgh2lNqxqkmSYBcew5 zeRF-iE=BPz4tLbQGP2;7CXVhA&s#T{?5OMUo=N(8yWi8>0z(+B&&QY0&tHR6og~p? ztz!2cAGT4MPne90JiB60h>_8%3-YyswOY4zSA^@^kK)Awk#lH&%wfRrAIt#`|EyP$&nPogc_I&&I~096~|Z8;erN!cDQ_YiF= z5d*sz9nT-<3tZyHb2*B1^!M~=+#9qaFW}Te+XYsiL_;qy6bmLddY$s9Z-&SBj@rDt zeFBHvzGnz+l&xV`zxgpl3>?jim1d*Pb29Z8g7w-%WHciygyklT%E=GoiE_p6^oI;+oZWQ_+YSFdVWAc z-Ux1Jb5x`%uBbBh`U5U3#Jy0jt};GT%pxxOnJpOvcaSSo7FgNnopo#Yf@|41ZW8~b z&Cnno2N}OJdN5Ry3{h}Qj>nOEm2EHBe=#Gq>i?T_mo&s=u4B@zp12=;)(Kgi>~j%X zZsY1vWY^lzym&hBBRgoldV{kg(Zb##zv-7CJ z{}>-DZkRZWk!Ep5zVx$)!)K3ceW;e6;fJawfIex1P0=FE)ck0?0)uz0Y<&cmQTvuO zW!d;hGA}$IX1esofqdc#wSE0(`OqoTi!iWP3VQg0Fa+U~5{<%_B^Hp@iaZJ5h4l_a zxvR#hZ(XZQKdHT#lyTrWvO>1N}znXDt&SSS}xX`8uL=2?5yLHLV`Tif3hJ+f66 zL{&sS)Sg&mOIR;LxbY=k6bKfRN=bUAs1IQ7s9QDEpGIT+ffG~QoJco0`RQexomETt z*c%f**ed%>CF=>l!XzmU0e>(Xm);KPDQ(B2V18UTfPv;4oc=C8#fo=GOrsOHu)`5jw7eFlu?o}rFVPw7MpmO7?Ql>H zJ+7U@CWcZ+Cs5CxLu5Mc;g_FR(Y;!=-Se1aa?s#>!}c(4(PK@`bNg@wzY}}g_@`*w zSixy{1^+)E-qyKR2-7dOXc@yTy~Kw)(o@;uG}~(-J)Ws?MfV@F-#ijC7!6oGy zD0)OMLPR3qCXz}7NY5BigO}sJKEdBU!A7FVK$iumFP!I1e(0tqekpS0=L>S1KgIds zoLq_Cxcu3(ks6xD92Oqd6*Z^LCj&pAX;RP`Rjc(N@^stoEWu%geQvXC%I&EOIXE^u zXC4Flh4Zfmh|d?{L+7|kq1BYo$f_zn`t>%=b5mcAIMut+gq`V^%BIpM5tgFRmdgu@ zJ{qci&^gT#VTl<+YY57D*DyDkr82RQ;5Q zk8ZrD0Y58cOg)@42%adZkbV}PZi=*~vi>kCMlk!76Kz?#N;lpcOV=0owD=pA3rZFa z*ZjRdMfmtQ+n&c!dqH2V(n+c9@!cfE_z+y-c@Ab&sVkwH*hAOFny?_)0-hTCA53Weg=lOo|aaV_g|(9VbCG6`qD& zjdh&}-A?_LIe*$~(CVJ{k@JkkU>q*2uYqptI_S_!^ZvN+z}wcIcTs)ta&z18ug^a0 z$W+r-LwsXkCIS7&`$81~@QaWQD|5}d zw@5CyOkFvLvQX9Xt&DZ2^UqwmCYel|?&F1{!s=;73G<_x^Les~Q_H7`u>!A%kfbzT z>iDN!z%0ef;i}~sdM8w{WYsUPiT|ziho%?Qyx2}N5t+2>uvZkKj?S}`av!iRLIJ%0 zpSib-ktEsDgy`-WU?m=4_hE(h0q08hMucugR!073H+LW_>vna|R8`k>_0MhH9t|E5 zo{?VZ;U3pLBD1n~5+sBG2_eBEA+*viD?mH}LM#$52!RB=!OM!3K!`;!4=W)a5U}D2 zVduxpj+vYPL{{~k9%=e!g}a-Xo7>N^bH4L^FEn7ltQ}OaS$Wwh#f1W2Cy@P?pz!=! znX2ma1zg=_8SC_0v*a{7<0PL4_9uNVaZbP`5$(W=&@oAv`XiVrjR5xh|FwoN6N+Qt za8TQWJu1~`J~c~*hmS#pX2$C*l3)CIYR4bF!fG z)8|ATpT9GNpX$LFB50SzY(t(*qz^UqK2Ec2T0ln4XT=&UAho)z(K3R~Mt__Fv66-G zNIQT{ylx0b<&g{WtaSnkcls`xUYWX<2%o_udOenpLJv6C>Lr~%?dTgqsPTmb-76u;T$?5m-msH z^{kV2t7tL-H0GJkj||v4^7U(Na(N=^HjtBSUZA-%g6P8?ZR6McQap6=;$v8%M z*5Lci{@&yeRiA~)2y2?S$wf%%E}#}mNCqZ5^IqSO3hnc-dV;lUvxKoOmCMM%rzxib zUhAfyOwhkveYj;_KH2==Y~qYej)%X4Eu-~C>Q(iAn|ckkSGxZ%9o**=v2!Vl2F;6^oGnOST0CmZt*<9APyhz86ewfh0cX883OZZ?OL!PiLQ=313J^oT_+ z$oQq3^!0eM=L1Tepc`OF)zTKvuKSQqxv0?#ix|~qsio>Nix&YnGc>=Pfq;Pn|A2XU zTWEO^grXUQ$~A=_Ie7jD1SW03l0NN)BaQWe6*J0Q3~7@NPOV_I(>(q1D;GEVg^w9! zoUq;I=)3Olia7Q>2RsW4P|ftlOOrn+gc{f zAQ>Th+|`K!zkjy!=1g1?U_0g#Z$G9!$X&Ynr@U&O%zm)!uRnovAyMr z@L@wSLFZOBynUc;oy}UeM{pwr8UxZ)4G&@%k^rPgs0g>#rKzf<;c=<&5~$d~SK9Tb z@X1!vZBrJ*U%G^*dY34Gc(^oLSl%>QtAlRtHW(H=x5nBL9M;xo`142O(M~W;MTl(} zq^%x}s6(x$&|8PM{zBSB{Z$&5@oUa!kl*cfQM&Z$mJ6L*K_Jdo0DrL_Brqx4CnspC z)(0s3f>F1xUPi-nMv3vp^A)+NUY5lrogP)c!jYTel_de=#p6FOP2q$3B zS@WQN*&wpWNynyke8?;&)G6ZS^?mIckAK`K8LHKPfa_GPWF=<}wGNAHYUuzFg6~-3 zc-eQ@82^l_N89#=H7AT;WmypLK1IYrRDoHA$eY0kHb1pE)sBru^W-+-? zjq4XnGw4n=lGs<7Tx=h>i3HQmN71 z0r~VBoX-REJFa@!UC9#U_urw75KIu$`#Ch-AWm-p+FbzOgz<&=OR1|d0{EuQOh8=Z_8UCbzd(5Fyh^7?JPs< z=5~@vG{O;-;6k)6h~4?O*>_~U)?edX+q=?d;J6vorX9nENTSM=_Jl?f>%k#X-WFQv@Y&69x3<+_3Lz$pe*q?cgmKqCaFDC9lM6gY?|=u})j(5T7vFL$Wkq*6#k z><+x7`)6NmEd*KnQ$h@dH8-VG#5g@atvfs&dqlh3WHPy|#;8P$!TR)n9k|5WhW0%S zWCw5{Gm&?{0c;|1s2pjb?-Gnw_+luwOyHfK@~L?ZP-7B1dkc@up3=U};i zqpVL%lX>Z|z)8OTI$;p@6lE?zg*%3~V8Erkz%Ph$F0j^r(3s2`TRgv>mYy@?AYyta z%N6J(E>b)Tx5K#7sVL&>X=f}tT#g4QrDDTdgwAsikkYM)DBFi559s(~r`my+2ViNM z`HB;NY*g+Y4pgr(%2YE!4+lC?VASRLHMlz>7i4|$ckYCB%3@&^k5dR>Qz9XTb8bF;-obX+^rGN z=+jJvtzyfP(hwA=qU9FJXo@^smJGVF=9%g+4Qs(Amy!XD))+Zd-7m*fm;%>J^GiLW z@x;Pc$uz-g+sz?d&38~NoxT^Iop+TXf;oxa2e&7B$pSD3N?4kFnuCImP|k@c&>VXp zTH%7A6I(?icJa!)Hzf*<{B&=v1KSJ799b5&TR&+|hRL`lQ=9~WrZOdtKBe?zG`qA!Wch6pfG5mKv>{K`4)we-{ zLI*mDG2To^)g)sZwJvgYhZfW~ZUn-K?Fpsvvy;InfK)R3C!PsC16VpM0xRoah6azO zgp*PGDoHbNAzzj-M4B;7&>=Y0>5@Z>?F^b>IvOAj1-W3Me+x=^ymRy#BD@biKi`2r zB2vl)E;(VXMpA;{-PWAgR_6epEw3vP#qyi+Dp`-GcVk%f9Wf(Uo(SRPX@lOT2n8YL zsdkHpdpaH;?0^Ij4)Ig;1sDis$i%`;04T(4qDn`95G=rjb$TH?O-#0Qjej2FD2$*C zuH9(@32>DlXy2XeMZ=T5kqh3V-Hq32p%=h@YsN9MRF$~S<#$6uF^ROPhak~m-CNnw z6xGr(_MW~SbG$n_0M^H|-*(TK)VuBYz-Y8ho;-Q<{Q0BrzKe#csz+GWBdBWBy|!pdC2d5A0~4K%d{{=9!^9r1 z;GksDl^7T7wX+_2b4nROcg_s)|Rj$+_`Bv>(%5EAFf8LPE^DvgG z{t5B7ekd`n(=mb=1TSMt9ccJE^4(h-MDPta3l_xF$Vs;`ULU&XamSO;qoIUawFX

        !>go}J_GOE2U_cc9~^9(nQC3{%KAhK@qaIP^gn4OLI03&?rEsa@vLSEb34n#H^+71$+#c9I zB#O)eo+M*Vni%dr0XqmloL+sd>5DwIdM-sPA$p~-*~mN0VU2&ZbK3VclxQLvu~E67 z$T`{uZP0Av^%B^g9#*q5NpkwvsH-@ebeon@XgAdcTgBdHyYb7Y@W=H4C8x(!Mv-yo zs5V+8vsyI-$tmCMsZhod=k#<)HmY&+|B*Y&lWJGfMyJvuHl0~{gnh$oAO52`0{;b>1d z_i8|()t&4M&bOxXFEzQkHo62dQ39jYG+6?``&zA|=&0p3P#z8@VyMpno)t~a6cHBaT+hw+*|1Q2@cIQ&DL$T)AJBv)7H}I!BW)1mcI?4 zv*`D}rS#HYuQp5ljyv2++T5wGQF|@-e~FZ6g*X6d0$4c#q%|=7^6ggDgSq^DL#9zh z_6nIG?T~YY!yBf%p)jd!~`=K&U<8N_XMY7Ee+%T9}OS^iQdF2 zPxu3d*$7+4ivBPYz?%b&CRWg*Q{j(B;hPhx81FbbyVF8#rF5VV_6k2B?b6SI|yDZ%lZw2zlBV8A*qu-N{)rJUkl>^r7g;9)~O< zVlX+gKWiXFCkn*vliT?2p-2$(^AF!4lY`xpXn1;LJ7jVY?2(gjhdAMXA5LblaRyDP z5mMphd^uatg8n?orT|4#r!{4fTqkSfQZ_0r8Yc2NuR4bO(}{9IIMhKby+@?o0W9N5 zG&wt(2=xwUIc<$dIQVKlQoA|~oDYg}AIE}wM_ z&KZF>Pe5J=FuZ8r4QC^}J-deDcH47{6Q*TXjfS)#jvA+`?-6G_jNEP;UU`;)Z>o$} zshU~pTQ05;bFFUJR96`#;{PX&GU}$E4Vt{uzFwtSQS&bI?NB0I?h%18YRDJ$J}-Uc zAU#&Ga5u4Mk!ig7^P0Phu7RsyMq7;=mVGWsuE!BRZztBP*;TS!t<;6j(o#*kPqWS9 zZL(QR<4yE*IsHss_(nBwQ$_pno58lp{`4m8oqhk0;N}PJZ&+K|v(X7x&>_Yx0*lhC zQd^ZwhMz8&PQDn`s&y$vot}_#tnJJf8ZyCRutDPZA@(yMESiw zH>8c|)DZKP@Bh%<-@ddtLUpRRSF0qMg9Rh>sDcjHpeON0qpt-L39=*CXBr z2MCa&@HOm6#0??JVD}-|0OVA>2{~)1;KoGxIC@c(w`%^!OhSLxEM>@0URrD9YGw@J z?>BpUm!|+T1)i#9HHS3GniObY0_%5LLK9-z&sRx&UGJhDsYO~7P8Wg}p6W^P1DJ+$ zwH^usI)9NAS+UUMpX*{J60kKj8^yTv2QcSC5;ehe9I#(mcqP~n=M{TMs@yMd@Y$Hr zS7NWNuW6e0vfU41V@EX^_y%$N_Yh5P3M(~7l>9B)M~w9-(G4)w^3om9R*&L>0VXKb z29oCWaFc&p^MgwQaL=7)0V!!kU>9W(=xJiVMC{~M!TF`_Y? zsWZ0P%I-!X%;EVgo+rz@==>H)HY0s+?Vw^V*Z^n9&H$`*G(0(5Um1&s=UdGW=hSQ& z6A?UQas!Z=0mCpH=#Wukr0;|qOjIXZ@<842;n9Xibp31uj*UuH4JUyNE6#FS?I>z9jQiD5LM__PVCh8vzB88?(Q;Lfw6~j#ze+d}4 ztHG!nDr{eq%})mIi}e=ty3|*o-ie`iC_aUcCdmNQ;Xa~uPp(un21~-nL3P9q;#%Rn zTQZuVa^*0A9+;|v1XF<6?pY~AvBEkc)&)3fP;-XOLnjlZrgSPs+tZi((JOpL5Cum~ zYS|L^AxegUtk3#dIk84sW~9ohrg#lrY-};46?G7yLAH1hPc4$js~U@DT@^K0xZ&h# zXt^LD6Q!EUy4x<1=j)F1H<#|5ktxK3^jUtA+Ncrm#wK~~ zuW>Hkf8PN~GUs!gWrTIp71jbu4N+)(w3Shj3OCC=q!6ohHdPb9+u75!)W_};FYQCF zC#V(fIBc6df$JM~`B^hZV{7z=A+>CswHTqKToSI!s+h07;SW0!TaF1B!;7@XT;v<9 zK#6O^GSHhDFjjM7?3QbPYqKkD|RjLt`MJakXlwbhoYah*TYP9coi_T>PA#9e8}*)DqCK zj^1dw4FHx^!6tYg6z;2aleGolGI)fjjzv+-1xkum&)`-{mw+uVBn3>L!c9?Ur2qpK z7n8W;Ib4D(Ny})_X!6CF%^<4{TiLl@VkY%2QRxW=foxio1-&?WR7zA~!o~PssL65& zKdeOUZ<89rJ0F2N^>};mz9UrN5M^~i`8hUsYlCnx_>d?xm&soN z9bM*Vm^ zAh@uYTg}TP=41pL_6`8cX#XiGH?$K>iVT;JYJnB~x^Q{N`o^$eeZ&qeZqz;E2xu15 z;ti060-@ii1{B>YzdTU5-RDOg8~s1sZ^Q&79JWwZsj>0Y_yg#`WpZBq^+D#g*j(%5 znj=5H?H=0-)Ww{c_MkRGRtXtEz&6gj8l1-zM(e$<2~$n^B)mU4E<0B(y?!m0_u;oXJ8~y_hJP|0h+L3{y3cN^ zU1K$kC`f2>j>UHp zxWq>J!c4+xq;)R0Y8^jC@tJp%!|Z5ZP(rG!dGt_g>w@x`t>T&fmJ|@tly>H}f|}l( z9<(J=`chHOiXG6_JeZ94kHOykhd*kgZSm>iL=LpzAPfl8P7dG%b#m6oP#5%uEsE^Y zVaJu;j#^Ar`*>)Vr*9p@60f$#D~aVQGR!&{N8k~>g0Nhv1N0FbLDF(&l-IQ(;w(9? zzCn%WSFvT%w<5Sump;wVzz zx?$||a}p*2vtL6c0`dXwx+>{UC6;2Rl^$=U2J14p!~C-Aczp%3V<}|1vupV8QqJMD zqzF0ZsWoFg)oM|IR>BR3)cs@-4!M7Ol_a2hfOZlNCe635U(Ocf&;!<~-Ap7L7n?V% zXC7OG2EXYZ3ZRaoJ?lW&0~91oDUd}4w-WvdUwsdtT4{#g4T{t`YHK2qz;)?6$2DGi zaht(qAA>&&B>jLiVqZB2>xUAPj09q04B|__m${+xDDKlGn5*iWY;uV24KI^qjc<}7 z%aWT?uZmS4kZ<*86DAH4dcY#5FV}nOzTt8?8Z-=FtZ;a_Moa_>_6(7EOcaODw;PeR z7tN*?8b-<%QC}+{v+G|YVRo7I}+_bvh6?8q0a@*Ky8nT*f&Dfu`+7T~oB?yVKXzN10@D0YmjWm@6!QdzOFt_)tPZ)MFL0Ql`=tf$pHdIvF<$Y05mvPd(mT^0Cf(6AM0RR8ti$G_2pWUR-TV`3Z;adbPk4*7eb0CQ6qjR5 zec+elJ!+Ru3vgFMSv-bOj=}()IGC;-YxlpdA=>f0N#mKF=C|o`X>H9CkE7iQ)%a0_ zgonW&S_7g200m?_s2_bAJE)XkQ$^ONy76fpbzaLlqyyAR2)z|l!;9AdFg}a+;n-%jL&awL6Lk!NnA-B(hQ3$}uYPKS;ADvh>k1|=UIf#20A=M=D zo?{(~9y9j%4lGGpSb z^6q*IO{#MfA+$h>%>PmoTL~9w*-9J;xmMo+!=Fi7dTf4YYJ&aXyd`F*-3L^js)Dg( zly+>hP>rce#loHXYY7=;tgWgAIt`%=McZ#4r|W0+1k&oU6SOT0I%j*_MLT=#J5G8=@L6);u~iW>H6pifX+= zo%CTDr#Xu5cpxl!u6DprL7-z(@YdJh`c}32*}&0{+_zo-EjR~AWnFdTGZHVYwDdOb z8hvC`Jp_^(`2X*R??)*LhUY`91*do0$!+L0EPIWb&(3^(bDYQ`}A<}xZwNQ-9+k>LdxF&v9lzFnQ2Kw{j zVqFIv2#`46C>-ogR;J$S$d4IBJryf#fmuq8G7$_oM?Az|@mSb+NPhK^pr;4u&v1WF zr?=KoO{!AZ^EH@22>saCQvOu4y9LtZr|dBQdA z&1%aYMX#67X}tubK4S%laE;UfDxLXeqAUV8WOz2PNPv^rT#6A zndn@LQ>F6sSCaae`msh5;^vw9Z+4&mmJFE(@*37<$D7;-@1#rFWqCZ1gmAmo_p=)s zoEibMp~;sKFdE(|P};)r0!!7CC((2Df5gXSMqHEB)QmX}Lp*@3`K@WLPii$;^F5P* zzjZ*16W^mR8+{j$qc^5tTrHrk6VB@}fZK-`N=KM*v8aajz;g2$q>ZytPWz z1`j6P8nwe?8?~EVjk+~!;b>2^K=^<_C^(0jcRSS8`)Qknben!6gc^8bn1jQY4JC_X z!!D8VnmQDDnU|?rOh>_GRtok=F8tBE2=uy#G;;5Zwnn3P^1N2ikEvJ>QH|;TF9Zlq zIQxkgSjuAZBQ3C2gZh;qP=v4v#H&$UtQH%lJSVc^=1iFq5ZayH&DbHXmIqw_pApZf z$z4KPD?g2@Aq2cGR%0kfol!Ys*!VR8UjW_M{T{^%?^)ub7_Wp`D)vO#XN)3G@-fM2yj3D5zaD6Ocn%fObH~wO? zlAZDiuDz)-Ve>*7`n2)pMLq_^ikq!ukS(%{agBDKH#zmuFGCM>)sM6rnFun-QRL!n zc$PxD4AG;qsR_glG)&+}WI4bk3dG)Df7B}v)sor4_b7GLJ(|YzB_OqP$2MsgvSfE8 zAn2!oBtZh87~YnFCOSc`T?!jlES=E-7&LuW!mc#)&*5#nit)I3UBb~j2Jsj~BwTGY zdC+aq-PX%w>(Um26GYRr1bi99?%t-=dgN>`5*me# zNtgBHL07rhNgVWBDzhw`lCI{rNLzVTATz;m|Df4D+0v+Ro~7R&$937WL6c?|WlMX4 zd6j;1WFBQxYs&Z%g4Y=k-9*Ea4!>nbPG#MH8L~%5HJ=*6XN=i1#}y}s6fgB=rP@cM z$?36?J#{(kX0Gd!BbaU;CE*5*LZv1aV0bqmHBEmfCC-=})h4YXkHzyr5 zH!1l`k0JGZPv@LI)sGf#({{erkn?Z>o}1qflvTjSe48q*4OZHmLMOWgyrO zZz6D2ol0yrqlGO%fE(v)&Yw`-rwo)EL;_Bfy{;Hfop3h=qvuVKd9cPb{^;ND+TcnDq?Yys6agH4am~T1N;iHCnHE@EzENP#;6BA7P zQ3zL{KZQYuhPd#+EmI}yc3%sbPFI2mY2`R=XvbJ>bZaTo?2h5E1AJ1=Fp|288N#P! z+!>h63s+J0Xv$O_&+`X01)qGcO;N-5`e99hC*NmNV(^fvQ&;@3uCb55&qm!PFuEVq zAbRwDHpbDT<4kjel{s_POcS9tXksitWo;SXCVP87?NM(a*&OEt!4%{OvVf$91a*Iw z<9UE*7#WZ>uJl`=joq^Ye{%odcMHZpn0gNUPUGj#$4{OZTisgOTL{DV;FF6rVSw-Z z`t|Lj?2jTR2}yFz853UrKxRA?cmC)xftzcLtd|8*nH(e37y>J_x>(HBz=le|wYlViEI1Oo=(GY&B@&Kn#wkIj0`U zw32~O9w{2A19{7S3rff7GypG_A$RHAazVLK;GtVM_ZZ>O+}$@sXDr~_KC4rfm;Oe*(=qLOJj`B z%H%czBk;1pAcu9xSBr=9bCo1|PH<#moy=gB2bBiR1i_=5!G*1zxxX@O4 z=^SYthH0pVE(?u3mm%9`#rQtpJ(#2aevSQ8I!0Nw(j@WMW~fAAX1<6C+M#M$dP}o( zkst+&8W8dITy?*oeqBK(#c;AuzAi_wCv=n}B_BO9q4B-Mktb)TdlhrtCV5`u%h?Rs zd+)^gM}6@koh8l3Afrfni7FtbRbJE@V+U$(CN&ulo5s?3+M_Epw)yVtPMjlkV>(w% zJoMK0c{&R_r&T`DfKa@xM>3T65Y%WTdXyi~@I1tqiIYN(yqYAvsgFuIypm2Cxc_HA zl&(MAfL)G>7{s@#stJZ*V)_I?rpcsd#7=aA*cm@(*N)UQq4BGC0d?fvF`61i5($3R zX;@&z!07K_l^kFe5sHamc(#vdfMNpVBSwtx6r$l5jRoLf7#wH_7`~5MI>w)vvJ2 zzeD3mfWI})(zt7(Jirx12k1n?r2+evU~s40?s0TNf1#V{fBT@8FC)@YyyQ?wp4mp^ zw>c|DW~aOlCExd$e$ph}>lQ0S>Osm9KFE|#qXQ=wrN;VdphzU-+accDl9{s2Yu^6{ z#6%^648ep=wN|XlqF1k}JtwBq#w%cp*XtI$W9wJeAUwbO zZXi8C+1zTT31bzAGw+yHS(}NzWn;jX7@2G1_*!2TWqvm+3pFr-$+$pww1HEm z5F)a!6q~&%YmhBdXVFER*A`4%D?L@l{S$*NKQwH!@dgN@=HYZvtN>0!`nG=c>>FT& zhTlRbq_}f+RwZvGiY|^SGgDWuCY(eBR#iagHgSql69-h!?tH?0{vAt(T>_o{6lw=wEt#X2 z#cX5ZnOMIh{Py66y04#asw`br15+48x1;A$00To4xTwLioU$$`5owI@PDZ%h#%w@r zmLO=S+gnvv%pnXw7WxARobRN8H_&}&6vmdO@Sptk4q%`@&5O)>}7Z~YrGI24b z2*oZ4hyYg`KB~S=m$Khl%6?}l_kZ0`okf!%u!ZTLJnV#75$iPQLL#oB=bB3L$6HN;9r~)_>S@emT(QEYK(zy-(c?So;Vht!= zh9abuUi=!x%P|Ku8Xh4N=4xcTpDW>+(Ul3QvHf69KH*Ux+?SII*3pHN`UmOI?x#|B zw05H4kg5@e;V57dDgEz#8fxmdwz~PY$0l3++@D1ecgjP6ZYC4!8v1aFjj zljII|DkxisUfE(ArvBHjlsm^xbYt9M``t3xU>p=)B>e&T| zZSz@eLk5#?V~`~gV?GV`c2&>OpvnY(88eHwW9s}N8_|!fv(CrKDSn{ArH*l$XVZA< zI#sDiQ4dj&Gw?XJoU-gq5qpFr(!)~!5xSb7bLWO&`Z{1Q_j zjIoj;vK?S-gOK_t-i`Du%m7zFsJ}4H{3HNJuqgjAGA?UN%`vNWikevl_r|B=K7z4o zT~HqyAP#DcvLCsh18JG8uZp?QAExE*+382{)6Y(GgG5@4~X z$~ZQaZ(?PlFWXss^}=iOK|Ve_^U_|7b!=SJHIu!^De?ZlAckNkieA%#oZ6&b4tuk9 z=ksK#YObQEW%~AQ1}2-jXN=2#3H~Z}I23NKkeVg00a2y{zFjf?7A9xaJOUHBdQR;k z@7$>%-Gj>;oEi<8cpU|R4KDJrssnxiE`Pq&9$*(UQvzVKaZIt z2$-!QOc*&E(2Q3Hk)l-V27Nbnd^p0BVm019Q}zrfzC~9nDW0t^JX2RxZ)LiO8+A%i z%kd|AaOh=TA|^>RAp?BowQ46CN-twce#$Z$pqo>-Zey(^{^3S-sA;Q8{J)oS;3Vn<~CDB&mxF38pW#FjJI|m{s&Dk zdt57WwJ2&E)UN^WM-j1H?mcS5adsa2nX2My7EO+Cz?x)B2C%DF%IZ}6^0K;uGbzrN z$uX7AU5g)~x>GCG(mz$>B|?F{X2cWint~oQTf^8O0uj95+&cj0tdy=twejp_=pePI0p5lr|#)DN&~(-yJ=kB*=SoyYbjU2c|K za$1>8FjJ>$0c^@YM5SD`Un?#-o@i5Q*f#7zZeHiQXb=cKL4n{s4A9(vPH{}hPVWF; z<2+qbq$JIHP~w`5&U4?S70it=Xp9O+rq)kEHS?^%2+dcUoN4+8%cXO}^Q2UTsQ<}| zdCK4l%`G1e#AblQ*0*$HwQLvDzKd@odw%B1o5>_d(@qOFr36Fy1u!|K zUNHX!^F$b@F_g}lcUTBe+5T(4L$Cz`QNIwrF5YLZ)CAVdaRw5Ihg8t9#0*h&9#UP9 z4dQYJf2a?mj`UZFU4KFQZ)DEr@B{AyYEdb(B41RPtt^R_KLOekx(ITedz0PC@oB`$ zgE~^f(ZUz5??0g{wNx7NnHR-1v8dS83{?lRSPUp;2jT;U4#EgqV$(gMZj%S5k6)i? zy2S~~(Qv{zvD6F>NU#RhDfq>tfV@>rxyJ5!DFdFAgX$?c0`*pfK_BpoqWvvr2@PPE*i`++!-mVP((C*rOx#lYgsud@-3>$m<@kK^Da50|GhjO)!j-R zS&Q$z@_;6s8+$fX#pB0=9ba*+S#0mg>rJ_!ih&=Zia!6;Rby+{>C=5u_gV-P2IVrD zU=KJdVRinEI%%r+H~%I-#J=8X+=fxTwEmpe0(yYFgC>UFMl z&`#ehUab-YWdvP7!vkh+L9C8}cQL1N{mX0TnLf}ugWw@4plzg|zSe;&u){gQdIPda z!GeGPl(lvK+6TQDwm44T1KFWo8u(N~M?~lwIvNHb0JFGkgDJZQ&uIzo<>)){*?9wr zk4bA$=(J}ZHuByZzq;I#(53J0Z4|s`a&kDlHa+W65;wRe1o)w`z4w3LN80L(T5~31 z41R60IQk;j(T3uZBrSEc^UGoxGy7^RB<^l#pdXF2{8^GNa!bDAsw*zA>$N2b`-b*g zf#&=sT{pa`Mho#>VrgfOXxz}L1Iww7-0V+}pCeiB+s6y@tUQ`_8=2&lFXBPX? zqAY`u3Rrh;i?#P+f^_I1ICgb`ajKH2By=Qht5yYk|v|s=&Gh4`5Ve^J-bBkD)6yi=q?O3@vW; zAZEegNs&aS#`PscW`$i`tp^-}^cPcxviJ+CIW@d{<@n)nl+Yem}me1{yTqsl*W^@SxPvnj(@z^-8VPB1v8iX~}c}AX)1Q5Q$W1h~mAC zhI=HO#2b%J^RqrBqd!D(($Rx$Ht4%%%_J5}tF>3EKR2f{OS(22riC}d*xdbE=Bh!> zI%VlrYvjflSWH&xdlf74t7dnNyj4Ic!RP&uk$jt8Dr4ss%nBVQB?>l5T!FuSpqfG6 zN^PoqQ+9IyTi4_hc?N&{ zKs5s1ZEZ+r7bO!~JcU1~$|3ztAp|$*P7NdOGf+(p@t?^Ix`Wvs{5QUY|4!%l%ULvB z;hArqtN)oC&PN8jqPAihX(0B|L#S@w7u^BEm6(tMKP>Ng=PLwXZ^RXJF<)*4} z?$x;AHAjXybZCZ+I(vuZwrDBU#bD9`uTL4GFqf;42dG@k9FD?L5BCj5bJaIhuez=g z7y?@iwz~eBThLCXA=XK5DbXBEsdEMQJivwMTK!p&!}kfg}Bt( z^Y~hAOFNNT35%(+5A$mzxw-$(Dc8P$H*xtuiP#rWs#@5$&Vc|olns(#x=@F)zE7c+ zi8Mes_Wp#N8|0LIE#;as)T^T*K{G59UAZFBs>^^%xU_0EBP;V*tIHK`j(!$lGBMke zL7E$7{xn&PTCIV(bkR zQ~&;We*z=;AHxwm6R;cW@PJ?SI`TCEXuoyJ-#Ve@OZk{KZh}636cdt9#zp@f9J_Jleu{!?7I%~#6 z#cBH37Q43^6rV1Z8+!jwIaFJ(>>AX{bl6u(>8YeWtSg&`SPj0=i1*_iV39ZroXcK3 zSQoc}CD8_!nF9!+CpyKH0^fq%+zUHkQ95VQ<%l6+T|6tb=U^RzsO#i#(5#WeF^9u5 zRoEabqRY4VCrAG{)g?dcy8~H#j}A@)Cy$zd8Uq|d+?f;wH31Gj2D4B`jX_7^b91$V zL97F#spHK`;OiPu!6KBxDABy;LDtF*8W8S8^^!bKt+)dMv_md1%l5M=FEvfGN!tNf zAzyHEIU7a2OmX^KAx1!3i!W*jJQo^FnMo1nhvGm6q{ZK3e+^)b?DtPnM&n`18lsMbpH&87>?VMO!Bu3r~1h}-N$ zFOu8nJGHlK&nkpk?cR!ujb9V=AkY#{;pCEZQk;2&H5V?phQF359~@n`I$eb1YBOcF z7Mn`4(^xWNb(*U%&&){USjuBTaG!$wOY{hQsA@h|;CUb`wqS>I%v?2$cdBd6pyeh>B)d4OIls`Q2D8slR-)=0ZIulLizHs$iQMvfvsXV%WQISwFNfzC z{;npU2-_=d{4N{{`dtt`)xopr;hrS^YpEo8+3u5yR%AFcMeZfgP`Dt*`He>9Z*0G z@6Qb}h(oUUF}TCdXKVN#CI*((IlLX`8UjJlXg7{1M*Qhjd>PLhqt2KPy7gPN(#?w6 znRV03Xw#*H=sf>kyL_xLR|EJK5v}#0F3p=OCTQHsTs_Ao?hP=2)i*f4wDBQA{&26d zdFF8@$X_f|sa!`rXRyCD*^*E%)wogRD`-cY?r&Ups0c$@lV%N+9--#b-S6iGWLfX@ z3e&R4-zI%uf$n}kuOQ2M_$%E1SN-4$oE9{wq$^E_oSW&z&(4lVA?Sixeh45?XY0{v zNCw1Ufk6()0GtJtq(BhHfyl9!hZ&1W@D5XKHweD}bsAkR_9j8B1B19sCX$ny)7W0B z9Pa0|Coh94+~nBHjWTQy7G7ae#&x-lY{6SK5@%|oETfxKjVZV*W#(L|Gk8k3McBg) zY0uhY6HIGeY_}&9YqwzJfQBfm0R2OlXw*2$ki-6%L}`QMz{)6Y%A&IYAY*sdw^y4d zT4I)gTH!&ucO9n!n3nL_YY1`292WOcLk4QY2EZwT!bQt)a@7rW`jF~wIW00u96^wH zT|F1e6U3E7PmcVP*fT3~RpJPPC~J^C%cSEUvb>$m=KGA~?x;xXJi@d?d!lof6U&23 zZ%g-j-=OA&Rf7voWA(#?ct#x6WCd68Je&}zLp!zz`vzHJ30vCRKZgm4Ard|R8eby^ zC5Z>T0e2CwR-**)P4gSJYMGCXxPQ+O`F`{>^DHDa+88CbF#Tff+8t|*tEhZHGVkUbv$_FK#g3M-Uf^(66N6{+nmG) zXHas?Z$iT8P6!cQcp_@VMoZyniwC@PevE)i{grjE@h``A-msEKuxn%64VLoL3gfmh z8MyCyG)X`bggQi8owB4g8s_M^EA&4zH@%p-dXN}qrsj`BRit! z_V_k|9F3;S)cV3wbmBY)_N(V=vPYli^W;r5eEj_Lkt=5?#8E5xr`L|4~7&y|^(xnQY z6_MIsl>K}cPGSf`P((I^pT!W!S;d+>T6ZYn)~L=jfjH#*HqfmNB-diRS!}AcIU{6A zBrq7HHLizXbXRNU=0i9~7Ox1HI&?}MIaz`&$rBCLG8g8Yqr?K{?UdCAsf~`V zDw*LbL2SQwZh`lInOJ7hkUk@!@ua$n6_?qm9|L??ynceU(!JR2W!Cr#7jYhgNT;&; zn0}jrO5&x!y(cPx_J__>YB73EL)`3Vz| zzy<9nzw3H$*1r%iJpu9hBOmzV<=#_h0>P0|v<_H*EB! zcT@ImbAECPb`KOnF327!R%xD~LkQ^6H!0*aXdmJdfOS3y#zwG>3lYpNbuZBGX+(%d z^>)4+YS#9y1@C@PJ?|GTW#V+F2YcGRw@N50$du>*|+%E8-PTH`!%$Q2@C7Tz|(4;fimEO=;RSm=_}205y}M zb)a&%u@O9r_VnJ z2o8C4O!|l<7e#`0zTGH@Zp|0VyVJAy8u8~IOKj&d@nc|s)!;rLfJK?n+?*JtQ-A|E z7UgV-U_E1%aF;GS>?4mI7Iry*F7={TCHXy zcDCo(e0W}=8?%IBPNWd`n*59-wIGcrmcx0?&3S3jCsR5F3iic*NiyFtti{!`^}c%p z0|%(*!V2f`trwEI1QX!m88L_01G6%3ie*9P3KW0kx^*6wljAup(hQCoycfUHV3}DE z$!v>OW1AnP5T#HITPDb+&yxk{=Pnb*zWs|Iwt!pdsO`#G18RM|cV;5KeLDSp$@2L5 zN$m`1HK9OLwd?u#2HhJrEs4WWSCY9HT~-92y{UEy_Bx0$k2X&>;KCVsfW+tcjvA8a z$(@^~dEUXnoc(|5=mmK?CJPD}CFvh<%oOO|=u#asW0#Ok!*r$DOfDiQV65FmbR_X} zjP&bYBH5(z)G@1A_;B9e;nODNH2wQ)#MF@Cl9XseGxE&&)O>(I8G(5y`tAq4A)h8$ zg2&wl@LbIgPfzxu;n8G2T23MCzPEp<{u+6SQ6zm(Ct2m@)xteExF6vTVr3C?nnq;d z4Ae+KZO&*4Sh5_%VYSXF#?|$a;&V+}t?B~8WC_&K;f<#+zm7l?TJ6*b39#beHz(@# z-e_CtGFFH3C|^b+%0yhIuoe@n!d=cZbT)^kRO#EKVF%0OywDjmIVbu|H%ztdXK?{( zvDyhrP#%)^P(l|{tt09S2f!xx4Yk!QRXwhR&B<<(m%@rzZ$u)oWaA~z;20KPY-9X6G|h*dYQ->T9-dpnY??pHqD>|+vc3oUEY zYNSmjdjKNY-`}(N5!%$AQyUPSfL#wO9K)Frl;QNZE>Rm^oAakvu zAEr9=P093caL{j7kmmwXILM>2Tj~?M=U37B%g@abd2e^Zi|!R_@|ac1mLjj1BKi44 z{kSsyl}XuJz4{vY(`T}FHPQ{+ISwt<>NS2ETN1I---+vB0ek2Xo&;}<)#YGUM|MAe z&-^CZKRVu<9D~{?Qd8o8#!;5$*CWd-^P5983X9CbHPLu%B$8Hd`uQyRL;oRKz$+~V zj(aZ>wpn*VBc2J4ib)Jho?X*7H}hzJhgjU9U(n$B`ggX^<^j`VJlQiY<1b^RpbuyH zw8a;El3uiYq>1dv=d#M{WYR$d){^TZsQT3C%+&wJWJbIczeFd;h5*}5w06>gJ`SXC z4{sl3BR38ZN^sSdKf~TN*-tbW7HcLiHCaA}L0io_f>#|ycpEhk_^%@uR?J5pbDGl> z*{)An^h-UxjBh39QbVZXbzGLodL6w6IK^=P#A#8POdb4LQ=9aC99QUS7vIi%T0_HT zS7i#uKPR%7VDx(mT}*z%_|Ep`&`s^Fd0kYLw*=r>wIU*W@PV2oCq5)Ps#}s2 zY7D|-1c;7~ypr83R;Omb3d}I79Zin*j}LpMpZSrV%}UckI8$f>dDW9sWXnFmh!1#9 zEd|^Czw%Mt*CP;jQmsXu0oIisBEhInV=}wL?P4Q8AMm{RYOZ{u~y`ojVr)Gc7q{M?J; zAmCb*!Rrm&iZsHdSzZt{$4;g7RaxBnr62Y${c!uzPxrj25fDVdK|);_6D|Osv&ti0 z3Am)Fex6;coj`vry?`)FhM>Z<0(txh&fMi{4d^TcFkq<%pcDiM#~26)3Ey%~e{!L# zM3Y<7%)wUX4YnQ?ttRBh#FQa7#~?Th1F#mx1k_y!Po(j|$7IKU5b)Z_=%ce(1p}MG z9lIvF_ntf``n=x zV4IO|1(1GlB*1IL5;gCS+m~ghQnf_a!u>&w*USgZv~4~nV6ly-_mc&dc{~3ObW5XEaB`9OguWLS<|RA0Ff}u&zJ2rZR-Ma2jT?c zCs_yVm~~IG=juQek{LKgL>=oQ&jn%KqNJU6kyePOpsTW~E@X4VtY7Ox`K6S_aT9{= zM^j%3j5wWYgVlN&m;Bm9|H6zqW=L*wWU#pZ=X)WF21`v{HV9&hjvkCDvIY=%e4?s& zGZ?jDiFURpO%mNAwN@Qvafu*;ksJO*@OUe@2z}#MFq%aoPZQ9H&t5%YMrtBltJyPC zcDrihNi)tU=*l!=PHSNonsvHi8%l~*mORJ;?MDfzsKXcQF*(J=RC_?i&?gfpo_vLR3+ zV}N)w-cr2&f$cj8w9iV}_iJN7+nyGT(x~y(AWpu{J^G*FL#W$UaTG7<E-k2mtVmJ`0L^; zskaQXYndix*raf836uDF+lLxu>jb~U{^5>L(bmcO#-mjg zjFD8nRUY*A^#KNA$6S>_q8yVd;fc2H;`~~~U6?UO{pb+zJGoILF<%nBBWhD%P?{Ob zt1CL-pdqr1Ut_iujU+qNak1yD4PLtaN!v!V^U@#_p zTCsCN-wXyD^M>|`D3BZ8?2R@-3f0XvRdNM#2+?|z;|YuX6pSBh+=#H0X!ui@(KjE~ zXS7@*&J)BXV(qzemGi_x4%yuwosX(PhSc+d;+KetO(E%AK z4CWxC4i!eF?1b)$YNJd5gjUQU&!vbmv>CxNP~WRS#xSc+pCdpU4?d3gku#RNe#HkNr8Fs?s+d} z#bOp7P0W{~o` znj6H%PA^}`j#5U*O^Uh+njfhR@pu2HA3c;^@cl*`V`U>{(b+>ojqQAb!ZuKQ{Ubc= zdOj5iZ`#qvKUkwoU{Eq|80|w03`XfCXe4H;jwzqH|Lnqq$_6g3)qAW!%4dJ?w-_bt zXc$n#BmDUmOio}cANB|qHb)BkwN2l>ZPWTk3+)DoL(V#`Z5FYzBHk7`M+e*Dg1xnl zoaLjDwHr3+V@f{!PjQ}Gg8DBT&M-Q*wJdODS)t>bvo=|Kw60@(SC`PGutqn$+ltGB z7K<{Xut(s1t+KpF34kTz&6tbhsU{#<#T}jQ)c5kdKk8_AXis<%5!uj9Kz>y$Q!FXf zLe%Swt8&s6)TzU6TtO{px5*@+3PT6@oz){F%2s!Se}TlUFm_DjfTg)tRX7rkumJ(PCr2hN{r^@O3)7CMwQaCZHN@=zt16Zm;S$cb|@B zz)nW++|?C~Gn}Q)djw2>rcP;%@tM-R&8In`P(*oQR`Iv$3MAhBj-S3+Gc&ugICV}) z=S+M^NMB|&vT4xZYvA{#oVC1utkdO-C_WV4qd1dC8ZNMwOWLDI2?@wMb4+^_xLw{U zak^3VCNVtfdD$^u9+r~YUFeo6sZD`0xc%XosXa;+3964}S}KwaYj`iGqC%#H!7)&+ z2pk}oerK1k=wf$$`o=poL6p^?Z-Fan-R=89?T3`)l@@-1hbp2)L8!l~QZ3?y6@nSS z#78n&cht4`{6{stkE_IsML3+Vj3Q`I`al;|2bmA?19cKCO!l4JjH5wV0K@?qgc?lM z4UOsm2bvML%3=Z+^i$0xtv+xCi4v;<5F6U{Ekr}E5*rI)@sURT5VzxIfER`1zRfO^ z@*&2l79_T3!x@N!P)dY@&ji{J@br><&PHd@P?^QR0hz`(g*l}gp^;kkRk9vW@5V-8 z#FBCg^%COxv}fohIT9yNt1dgjQg4nY>Nwho4vg@~Pg@DKO-3dYMsa>Z;4uac;qiZ$!YU=#>93XzsZ?RMvN zJA{UH3r<;C_{=B^t9~hC4I$5P<$>8uGmm11FQ@N-pJ)(6VAzM8O1d>NH1A6zjD10bfsc633l;@~T?zX? zqTq);3=b!JBbh-ON0UAE{v0ELW{g^uh&805HZZ`=NzfIRgG(3fv^|8~kQ!7P0 zIexeraXY+XYkgv!3#Bs@-RaqIR6l~%>jVRv_xG)%(m?OzKrq2mTjG;sMxj|qWR+`@ zre<98y2xyP7KG(5GrWAeRHY5e%%@qw)Bv9oS0ED1rpuK&N8>XCI9toqV6`d2<&+tx z+a{4Y52!sHEof2*G!B z_LJ@+uLvWzGc?MQ^c- zcKqLNn|#L&FstJp?j35>@Az~7qSUN}j(kMVy2bG|45Pu-{-vUpi(44})V~Dax&h}3 zD$ICAx!1NXGhABVa_)bDLpMlzZ~e3{lU0>QPfO^#R~f7z7H{8M{G?g6!VyCjMO(_# zE~8UhfVNv;5>xM z0=LSxS$A=0L!7Hqk2)ekal`%nM({vOEA(w$?J%H$9xZ9a3B2q~DDG;8$UAP%ZC=Hj zEE*nnKmxwmGI_Yk#h?>3!d?*=>YfuJJlyYp@53!LB*Pm=gVmxBs9l1NmUA+s$w<^f zXmNuigjzo4ZH9)Ffb3F!q;`bsTBwThwu<_yI$B?DPMevKb!;miLx<}kOloMncS!D^0vLs_dje&KGZNR6pX(aH)w0T7T!sv{Pp(@TklIl6&lk)MWh zhr}&*ulI`Tkv-J7H#3&k>7hX-=U0$%U1zbym*@q)|KC683T^Qahf`T1!LT@NIbp}+_uh1Z|*E*6%VV&Ebm?RZ`HuNs`98`m9Q;txZ z@<-!>ErI`a=^PU;9{fy1zkjxlrhw$`s zXF=zUy}d5P@q@cynq+G6bo8TXF5%pw09-&8RVc8{$Eu(zHK6gDmM$w_29(_H+_H|( zq7v*YvbUoz@oy`id;hN@$h3}jvGaftOd|e(`ENR}O&|I~0+Ke$s5%VL2ni<0z>>{> zf`Lw!6~F2J-rhlt)!U?V_>mADbH{TnJZklt2fr#UlWqy55!ylbE46r&7N1$#N=T+Y zQ05-~KKdjYoR1&d$2nOvh*CHhAL7Hz&2{MD5dd%g@V7a6*xO9-Z6;v#Z~ZoV^fr4< zZ*%(aw>f>-+w9}p?B@^pHv9B8`%Q0i_VBkk`_X-y$>hOrGnxFDzRmqVQxhU=6xQ^l z2=%MJ`0QD9u3jhEl+hEsr73qMsOHB|IIZf}jh=6kBfz{!cCMskjb0VA>%nWR2ROz z`0N?_dhh=fPXsb6R367-MkIv}7Y2ac$w(51bVp+^kHdU#ny>a;N@f{6fn%3ZLA5Bt zqR8d}Zk`MX$>)$&BT_E3d((yQq?rfr z-fD*%w!>wQ+DpCv4?BUNzFA|a)Pnwgc?2{l^#geXEXrV3KMZa}dBG_Vy$yJV3b5Ph zW8kNF1QdFG9+-`5Gm$7PkHDdyPykA=(lrWP$do&XinZV)=%gYb^kl8M;QOcoxG#Xi zVL(LL+l zk~uW#k~lMqR1Ps>Pl@i8*zs+6+(crC2V4O4tWW?w5z;FVDbC^?{f04g2Ogk`iQEH33rn-9=nCLzCv%sI?lU`v^@=mdGCPCMh%?fL>|{5xtRd(WxyZ z)=V9>x2B0nGVi8uR6|%V9D-ib74(}oXK&uT!CDUv-WWkD@ZSZfHMRUazYLX0xFhc+ zJzm&-by}KT*^K-2t?8I&e9chb_Yhh~ZFMBu*Hr$Gl?eufNg(N<(H|_Vj%PMke+y}8 z)W@9~x1cgj)_w-d#mlcFxvWn4bx`rLT<)`{=h4ZDPRv=)HL$D%C+HIriFpa6 zjRE0kO*Ma&s5w_`)~n6>6VVkI%3A}Q%C{p2;$mLXeZ^zs2|9|9!R!A2{@|SjuERe1 z%N{1v_Da^Ke$Qn6v`c*2PH478MHn2iHmQ!w-DzO&e-)z=K#S5j8mm_b4PwBJm@ zr2j*;>#0&%Te^auUd5LQ;Km0F_}5cV(W+@nzv!VWJ>>fzsgaLqk?XrrO^V9x4)xvt zomwuNJqgvBA`t6H9Lx>bY~xxk+Y=q$Y@o&MLBo206IZAWxjq?p^YuM4CS@W+CcU}( z@8s|_keSAF+D%7ulFxX{qNtKzv$4T7?o3CYbP?BCyaD#xX)$|S++brSzIswElkA0# zYK3oUpgHnRHAS{i)iUk-+j*=`71jDKSN{uWVeF9o>(~dMKCdYkeN0vZLG>}!8zHFD zHBQdF%2hCq;J=5K8A;znRu+YGh?!M60-7{_7S$xgE*$-dSEb`k(p{cbB zoSZ>FuT_K|WQl!X?>1njR^jymyw*F>0=Dz~u0fB{<`NQ*63Bu=Ot2*y2hmCNOA(zI z|OX?x@}LCE%F5vjp) zFd|ebb~a@kf+`!-eYGj)YS|mv?8L$0-d?2am4T}r<931!NaCo1Bosu}gKAaCvI9J> zi5o*#G-hm@a?o}57x8%DFv!&s3Hq?e!RL3$=-dEgo!3ph(z(tr&7*RYB_fPtmR6Xp zyVFFiThQdSJPx^T8nceFY8(jCqXPM{IX*#3JC`(}AM3nv{>!&<$C-EbK%3@!`ZRSv zo_B6d7jF8#G}6@6tyHV*)484ThI)6Zt{sQ)S!h!!Ba5}XJv6a?~!^L5b4`i zfk3X_Po6~2pFfX)Ds&)^H^ljTg6FyWysrY2yQfy_P&VIWNnfSU)@))D>aAxK8_lJ? zch+3W)vozktz^mFpcBX3hak<0K{oKCdH2_)mENa-lFNU^1yI0~zTQYHN$QVT2?n(X z;OTnNrM;IX8hG6U(06@!)80!XHP)^_67QYWmi)$wr|Is2$TX?o1=TS&S0}0C)00L~ z08@H@PPQ%R@kt)?e)?g*&Dc19*SN3#nQz6T?tQf8wEi>SO9M7=2wj9o;1=x}Fopwu z?BC+X<|(-NXw$ujC^IK#M)8SUq;yy=?b4yXTin#YV@$40MuiuyJNPrz>7!{ z!8w_n7&H}8YZ%7yi=wJJnQ^n+_7VU_ELebElwmp2OQ~jx9@ShPduEF<1f;nnN6G<@K z&)$1=1o!z2)X{g2)B{15Lm935s~R$DE;gw6Js8gT2cmXuP5ap%#UXuVV9wv>)3|Xb{`SS=b4GtAx7l5!OupEv zjj6NQ;ws#uwhn}Nmwl@d?OZ|66`Lx%W6UFoUrdwBf;ZNdS}p!VcgG{AcH?XA3I?d& z52%C{r2vYU^-u%~5Pq;oFE=L<=fX|SPKcf2|8hbDpR=V?lRoLn)0>=~o{mq? zB$0bDTNfN7(8bn*viKrH)mmiX`GTH+4$m9&s(K~wbqNIqJr^LPV^|C10m45@7B)!0 zZj1K(hC>p^3Zq2WRN$kaW7xq#a7@R*@wz5Og^d9TQ9}*Y8cI4vQ4ns({ofXZOrFDv z)qVOVV~)+L3hsM1n52us4_d7Hv8sMOSMO5z|shD8cDn zaOcL$$ZUW@H|Uepb|RO9;6Fr`=&1N@3B=ubLz!@ulM=5AHL2EDXs@^>5;YcY+W3GZR+%~V zbx6kd%om3wOboXe1uf2l(4CBl2D+e4p8jUzA#Vic25j6#P9}h?g)MIR<(O&=UOX_i z;b+eo`{L7Q+sod2S}MLH>3M@xpkCni4^S=eaLcG?{}gjkKks>Ral0@lu-Y6aAjx zy10oh?~1v4^SezsyGpOGQjLu!;hSNk%!p{DMRe4U%T?`sh<8d&A=_JETYhz6f(@RE zGKhedAJb@IybWZ5sVduRguC8PeR?n>*wP!=qIVsnFcd727!WQ!aJ)6 z9`1MAuBRH}iPaC|jcV?xgWa=echMNIxAq#+MSqXEr_Dp4-&bXfHg zIv;B>ASh9_&Xz1Nkqtz?7V%v$7G*9*LoCtfyoMx>YGh`Cd_CX#T7i*;n-*wpkE9`H zE>U(}T-V8iM<8BNZG3Z44e&S`UaKkfn~nM#%Y8E{@A3(F#QP&++pDmdWTtkju3t7!jVM@qJIE`XFK5J3 z`PodFf|txZx?UD3Bp z7BDq{ma#$HSASX0ZEbR^;FFf>TO^uE#gH87FE~@fC%-Hxh@f{vq{>ZWlGkKR+NbL1 zt2X24LiG%cSw@+{KiQ(^=EBdPFd$lehB&*01$3Zl8UW84X?nvBKMC!i9pXp>NeOm-*y;6G8)z4tD8Zw+jnPfyT01@R@0%GmDQuhUkh`qA9IEimj)J)m2 z>hre8Em|3g{c>AVxNryNfhPEh@go3_u^L35ek8rJO*+w~`kZjQ);5wcbXUr@NFYxS zvaTQ)>=Q4z54Pq?d-ry4(RmJpn+c;y8Fh4dnO<8Bt zl#T;}bH=uDS==Oy58z(hp)RCE5%~)5quosei>wM{&3J#Prl4-J-k@z=XUY-$4$A%n z`$3%M4P}kFro)4}aCz#QeApQw6pV;X+RcE|9q*k*&(uBZ|{_01YXqI!a>pG#Nd^8T(Y0#WNeD@EKM}i98Op*Xolx@;{`*3Q#DhfxmvES z$Q4Fs8XRtyv4|k5f53LJW=J}Vx>Dk5CryZ>i?$dvbQB}vH6T7-ZzvkU?RX`BFl|x& zVV>I&d>{@3Fu})Cb@1i0T!S(b)4b$rp4F;AoUxJb?Rp&qx0IM&9R{C=)lX3xRMatyFXXWQLUpBjQ zzv?_u2h*hK)6!LN1vwgr@;j~RH@>>>Aeklc%J0XJ&GLWWF zNOpVbq@@e#M@jVHB2i#{`ePDyguuZcYeoUB(D|{+$@C=~`QLn?wq~(aRg4@_#y`}e zj4t7l&~iK^Ek_Lng1`0QE>H|C8~^nOEkG)Q$Otr*NPg&rs9G592G{*%M#oO{9r^cb z`)Mz{6f}Z9qRZc)&EBU1Ati(xh9WCfqoWwk;K{tKJ+f?Xl%ro@;Nzc8>JTjL;?rJ; z$=>*6Yfds5VX482{^IZYXSliuOC6ev$2)_>Rr?ieS-DNTT&~t865blc2|t?RiKes& zIy|=!bpVkA1GaU{enC!g4lo17D?$LAL+aWnNSnu5QRHuDLZ2Hr*umf!$x#G&PMt4- zDunRE8bpT$044Z7UFHXK;ge-2u@pYKwX_BUCJgd>_zf2&+4MDTi4&@J1zH7jGDV6| zpb>6ICq3l?#idv~eVf>1tt}ErcUxVdN#GL$H1v^O$e;$KjoM+^(H%i4k|uR13VOV2 za0Z60ZL;}zY5-Y4roU^|pY+%r7i<&N2VNx*DJv|Dm)faCapXHV)K~0z&_o?H zzIGykx4|S4hb^0++BuRgT&t-L8I%h++GrxWWPMf4>!f@5GfMX)v0C<`P1QLP>1C&F zd@E|_&LK@qJp()@c*riZ6g^1;9hyo>TZGrhN0Ff*IR}zVq%+sNGRtLxp#_}96jc!z zmip&Ub8yd)fN-pOggKEgGB_u!41P5hZ1=`OZA^P_H@n*85Q&0H;N-DCfhb%Ce;yu3 z{4<)yFKR5Ersw4n#(q&}r}C0%%~m@B(pgA|I64in=lC;)i*^o2`p}bOLj4TKlO)^; zDc)FI52RnlSOg4PwTQre2)eAQ7PT@ODa3$GDrYme5pK|LbZ!622m8+B>PiIS$DmEI zBR$T(a~#N@t;&+?jH0F(@Upe*(W$P!wr+#w$x*u~xtjoGI_SfLn3*c#Qo>vZUoM3{hbLW&Z&(J)(a0^u`tw$I{q zY}xPChuJ%fRxGR3iz*Zz8>@#nug8OIV`vRF>{3m)_(o0E7;-Dr)QNSa0KDEi+Pc!i zv3lsil>#^8-tpFz9*xyQLCcjrT2$UEVhGl-V@!IrUA3c|Pjl8SwhEWaOv=4*+mv)j z@rMUh%S=ut%{-*bFuTfex;sZv=<&-0Pno?)y;wZ;V}K&0)e2e2Q>v4fAP5B_eV0Mv z6WJ#3&?XUH`^nAyTX`p9Vl(AtF-~N#RPC`j`-5vOTfI+V``&Fb_y2%x0{w_>+GOtE z;Wdq!TO9+iDzbDQU2c+$bYEMTV9ipaF}ef7mrT^c5DoWtCwtfV_nXssatYG%*9$Fc zc?b@VE!u7Fe}}$w`)|7@-~VNbROIt|Qh5MzjFPmZTM!6cc5=I>^q0mBJ1bbqR;JEBTJ9#|6EiQ;IZ3EG4jcKR8iB zKvn20Gr8*uLY=7ayOS~PkV3H(WFC`o7`LpM*$beGAtc;$=Z|6v#djAgw z^ufIVhfwM677Fhp`Hek-%2rn6yOt?B-K3duu*~A_N`Jd@-(*045+$m;6OvFuBj(bT z^L968TJ?RUaAVF8HL-U2;tB^1Z*T_VrS~fD{TI+{g&!|nBTO&!^^oJEC`mrc+}Rzl z*4fcQtRB7ya|9b08mJ8BQKcs6l`<(I`cN8l;Zkj^aiUJCz=sCTb+k2|7)66TA!IIT z*;+#L*``~$9GBF`_00ct&{N&8N{A^rj~43S5ihQ2V*S{fxx|4IEoX}j47=(_*_R7A z@uy&uXW5UjeWY)m7iF1NKhE~$YGo>_1YJiJ1e|D}{}GNx(A>QF5q2YQkuoYHqcDQ3 z!A4>F^NK8_ptdmJfc|v+{Q3CFlZVrE_lv*SRCNnIgeVEvbr6fOzlQVFDU4#HE<~Ex zBkZz&IG&s|!)VL4YO?(N>(K+m*Yr_C0({Ag9s|Ry>b$V=Ly^z9e5mf+D(;Iuh8STo~Ls{5|qH!>$|UsbpTsqV#H{RH_?&+|Ca8= zc!l01N{qNn!9|FtWok%3{D@zPpOf;M?rX_PkiAb=)Z?Yp+(B2icqRXI*7(89r;RkN zA?HVHR7^lf*%_1nKY4E#VoA2P3DMn$@#16VLQpRRCp^wMdv7|kDtG>89lnd|s{Z}D zs%tu{Pj$~ZXNK5&NA4Z9V@KqPh@Dy4PRgKzh%llE1EQ#mAOoU|$}lK%A$)`2g?B1m z2!iOKjELaCpfKoqf7V*>TCw6Mv+8_bf!{EvD|bY!wPMBkdDr_s@ADY7WAHeU`MKHV z7_j;+setSfb2}`GpEgjc1WwhWEvl#B2N@7Q10SLK&+%x|%=Hy4CD>_c*)7$_aEt3c{naOm-+#xaMU)(g;eQLZ~N zq=kJG3y;NmT$g2x>^slYS6ju=SKBO&g`N>NxAUz;CKn-*S-DEahPBf z%}Y=9eEEWlnGtvQ6J#)OM|)n9yO{5yr}Y@PUyZN6JuSa3inW%m(d5Y*O+gM=1fAOW zju`#$A4c<}d9uCK%o+?khlC~sifa1PqU3}J;f&;tk?uglXF;|O#bVS^4f2W0;u6-^ zo6W4qCe34-NowM>pI}&fIz3WL7`z)aBb`iI5&gu$(S#C6d|sDi$pDCh$7e?HzE;sC z8mC~G7+JK2E|F0i+7Yt3)IJ!!|0|B(YQ8FptTjdi2UxfvjPw6yl@`&r=w-U(-D?XwFia$7uUMJw;R%exwY6tuaHv6yij}h03P62%M z;Ed_6!RmWmK$41cv=H4wS9?3$=h22zvgD#}D|Vh>{?i77WOybT@KqafVCI7R4&p-N zO&F*?%GC}%k{}-NX+g|bV^JW7UrqcK@>AIsXtfyiI1nl8XK>8`_&GY$7wTrw$h^&;)FBA#PbCC0_7>&bKm=L z6C7H)?xA-DWfu4RvEv>)4vDguzi`B)6Lje|!;H zg1**==PrlZU#9TC6K!63u_cy=`(T69()}_mk}xQzZJnZr z$QX=$dBFGfBj)u02ZttltBgPt8*;(=cZ91v@ zqk}nYTxJ?CV%<$x3i3BXZ!G%EPYEAK|55_cSNr9t2IB&x(h)swJKiw#x&5dq_?|s` zbbda$JFp~#W{sPQkp`#>9vgMb4%ouUk6ZO3xF7uMtsqJ?%<&oDIXhT>z1H9dFC626r2dYy#fIWgB~Bh~?Kidr;KeOI+|`>LCP1 zkU-e)5_Yuk++?<;~SuF9IaX zMR091SA*Q&npYTe=in^a;~o5$e-D9^aEnazbO-~S1TxOsv{TbOYxzrAmMB>RS;%%7 z?H_A$_@ItiT88Aqg2$)bJ>FQ0O9s?y9&pQm9qS`IND*U3bYRt-9_Td^+qn;0d(Bia z?{Pa1sGXL@@V>Y64BNTC z_rAAtx6udhb8{bRXL}egD7w0X6jf|MG{}(EY>rzM)3|t75jk_qm@&&bwO2MF5*?8 z0~6*r&pzfapFSOVDJGiC)Nw4Qi^bmF-s#@n+40nHE2tl>O9rc%I7I*7gj@@51Jwx{ zIAekQT!eXaZ`9=B&f?OtgxDxpScKn+fvt+YM!8wy;o1!!^=CZgfD)Kl#)ntZP1R~`4Dt?}GQ$!NI0VXX0&+G1v zywJ~5tp-S!1YX;z5_lf(Qyua{+PZH4!3V$FfIyo&i6fse@hLVvOTn7naU8%&@gG*9 z>+d&?EZ2eW^%?o&jVG?Cu92JI>U02SqU(weI^o^y4v`|%gGj!O8Y%g{_*SPAE}VJx z)cVX>mM}V)j!;NhGETzSA|O=?I7cscsu4U=1LZ0qlx=|_Z7tHnstU{$+~-6WQEE4E zy|m(l-je9FFQ`+=Bs3}&5}WKZzH25GV+zvFEoAC)DSwgbfb%o9}D4)Dte{9m%3D| zhP_IE1fAqbzgDICpND9DRkSCJ0VMzXL|3%qeeE;A3Qng7Fz(S1Qxg>92mI`4T-3}R zU@pPilZ$edE?1E^@d-O(T+DC_WJy|u3p-K*ddYAX$MIT>MnG;}=gJP}RY6RB2NJf0e40vggdf{!r(M9T&BjRude$OjX}tVLL&nQ2 zuGR^KRd~tKP#9#YDxzocQccIQfb@Xg&wF>(^a1ven-*cPTH7pdZx$r zc=;1_JG8Ne$08NNoPRc3M9oFN{^{pnL;d=vy`R}g?m~(T>|ii|C}+mjNqH5JfW@~P z)&od?;5lMSdL~K|X%|Bqat+%k$gaI*GmuR4Qz+*ijX?1hU|xR9Mtow*xkn?mYg_=| zwhiC?0T*+RCgf@o>_*Dw1!TpxdME8sW$to`-<{vTX=zQ8Xz!v)Upi&oqcH?FWWK$( zY|J^9^#@dz*P>rUBekjnS!n@0J8=%Y!t-P?@is)$1lSbS9dJNbe=gLz^8e6IXo@7N zDeXD{KryPF8c8TxQAVHNTvj(D-%|S(thB$0ex=P!^-q?d{LRQQHSCPi?+J_dw?-1w zPlsD6Lk56dxRydCJ9Lzz6NTF4EA1?TL~qg2sE`0%ZRHc3q^;;%bwB%n^-JI3i)Y0) zy<2@>;}iFONo|)1St{-bA08BREbG}TM5?tr_JAo>bYl4FJAq1zVa3VX4#@vX9RLI29T-YQv z1T+k{+Uc%(0xDc28x8T3uwKe!GQwHpOT^;!v4Dd&d=abM@$)FEOmam|9~`U3Y1lHq zpplE1wB-WwjULslR(9wXe$Wr|$II7h(S|@vR@4&<(+f+K=+DP)B_Kw#LyKG~s+ew! z@&EqeVEfSsH_}=kFXGGE_;N?^)Oj*5lREkw687@ZP+Lh(U$J=bZFe)9+&W_`i5jd` z5G-TGnt69X-9l~E$r^@@$ogG$rB(O1t72tWLpJh7x&ZvKnjq@tRa7i3Kk5L>_ud_8 zjNtLtYR0IM?)NB?SQ4{noGyrMc9!JHg&Nq45;+~>s_tor@vlg!PE{@uzCZr*={YQO zrreP&cq9|_f5DQ}8zESx`IGGV6|%b5Ns`B4na+xANi2`Ie+kb^i|7y|^iN2>$!FA) z)J$sXT%>P6O^8*5%7*+SMq(*X3z?Qjm)W)?@l+-)yhI73xGaln&O(dEzuxXo&!$YE z5FPHnXYDz7&)ReNp0(%bJ!{YLd)A(l_pCjq?@fDd|32pvSTVJvyh<%65BOk}!PU$V z^B>spBgS*zg`gm3p0Pdh6_$V6PK==d3VP0ss3$<1m5(IBDZ@HaW6}i zs5o(khX{wwW`iZ@x(G4^jOt=!`~d|qv#Nji94;4dv_rTTY+JasA@3b@2w(6Shs$J5U+|)LMT+$^ezg#ggDbxsk~i0E>+tB zo;XJlU^=xLVhFVqsSi=#bYXnn;Ad1Ltc-H(t8)wAh!>AOO&bebS_B;f?>W-737)ovIvZUj%-8z^!`Jx7 zo8Cwn@wp+bNqn8lBJ_`-TLzIP-aooaWN4ihV`Z>WiqI1&7A+{gTfG@-SwJCq>O7${ zjHn9?5UzQo!hMxocCBKvnoxAvB+12Txufx$xc>U$KLe2fp6q;UQlX>MM3^F^Ri@-x z*TsZMvyV7Y_5u2obk;04sFS3`Jn7P!IfOO>*Gc)J>VcFl!OFluA5DfhVwPvMNUd<1 zk1k^RjrJT?-vM*rZ-21!Ir-{M3XE%)KK&!LcLpI3;K z1R71D`UjV4hXf+V8x7RQobK^@i7v}m^yge1e^NWt@yoc3Jysh59>txiAwedR`|BZyVnC6fHOH2}-RSY-h-HCYva8nFCGNr?_=4u_ zpCd{fG$38quy)K^7jg6Sg4Fa@x1E(y`dsN=NWzRguSNkhMAA^$Kv_tJ|9dd$&+8Y| zkPahcTgam?PJ^&&Y2=csT_aRO&*>>WAix4#jY)4c;Do#`3kK;ADAxLs)3ObZ$;GH4 z!>1R0>izD)`2$>Vlh9s*2U?h{^?3V@=qwr^P9{bdv4p^gZk72V znv;=zqs77AZF|UuyG}QikV4Ua|54Np+XpF>U7JI@{OynA{WTMqKQ{PJcZ}G(ejuS4|cqy8)1EIu#i6Dc+W``ow7gssZYFTqda} z=Nvvyn5!my8g$;sW-U@>7o^lZC`xKt@$0P`0gJ6Vl4j}@qE^H>FRn;YBU;CGT;jhM zIk<@E-_y0ep+{yB6>t-)e~T@F?{bwcU`oI>yfKUy#+ZAW?5cx9yw*3i;MD>5e;kbw z{;x*IF|tO%miOO&*dg&Obp>QDgfMk_Rh~`ORw$!FoZ`ICL(|hyyN|6kTABTOdNi8c zLy^GNYuW15PIpt3>*#f2Bw72#qF*87XucDDt#d9K%k7I;4YWd)DInCkwFXz+%{6&V zEYH(JUlf5g45lZ$plSvsP2Mu^M*1%9m^+($7X zEP4H>KWdU^`mk~^z8C7)oTKuw=D4JR{YgH^m5c0x=TPGDioGSVn>mj_L*m{!>UM$Iq9CpxFAUnlWWjp6Z^=U-2}venskVULD} zY#o256bP6Yv3vWMz8Msf56{;pW)2!p_0;hNjw({-5Y*7s+bGjBKd0Bug zu^z_!`tCbj#bpJb8J+H-;`9vy1m6srHA=o+lQT$C(=E#Qg1M?iQoa?F0j(`oC735w z)#(|eZkq~66qd{8L^@wLPSm#i=9yZwtnU;JsU~q|#+F#H8Wjj{fT*C?C6J4}!{*VK zQV+1azC6aR%n`#3=cka62h$t8p+y9U7u6a63bIb-YZHW318$jwi6HS3>FTBk<%QLy zX5o2)daI}bhU%W%O%Bt{V+eU!5#5t8m$HE-K0keXm zli+j!*LRk#)jqDQn@om1@a1>4MpLTJRT!1mBNf?0uz70e|6jz+0I}J0UJEMmWoa_; z^i|ne{^!~OOLIoqchn8oF&F~ZkL!4>MiOONnir~NQ=Jg2Isk47ANkBhGRTuv0dd?2 z{6!s|G^q8C5ZYk!YipwofMm*mt>? zSlEfXfhmB{D6_Y?0crOrLy;r?8X}N75#WcPjdUi1NUTV!NGMkXun(lT_2UjdAKu}M-%l#W_`pIc z>3-r-thV?pn(krV(cxXca;JowGwqkoXT8>+m1x^S;Scpe0$4BWEwV1JAM_Rfn+ z*ty8e6fRuw6){nK?K4pbKT<=*^RARL=IFAI&LqyCY#dvkf=+DoWP2&2AQX4Vah%z$ z8W(No4TKQ{wHzR^jHGAP$@MZywqR3657jmUh%|mM)t+$Y^e(EWBYZ`$FS8~JB=EEx zg-_;kypo|Tbn8--q1#0}c^6;CTaTuD=p~T>l)Ym&gbHon!IGXOhrnV^-2Z+C(CUcJZAL|$y$OYm!c4SfRz~JPt3H2B} zK^~_IR)#jKE=V7n?G(tI!W$|xJG}zPkJ{iy`n2xsp7a|n-%Re5URZ7?t#8{$@3bnY zI`YVFiWY_^=k-S~=wUp_j9*YgM)uHU-HU!Oyo1>Zn?n16Y)qKjsiQgH@&m&fba$#I zdt-$Bdp0)VieQCIm5DwbX}u%^T5eU5F`*g49R&zk#l(2E`?b4V@1sF+`(T&^(*UYP zDRm~|`tG7zT3m&vLnC*?BD>kBb4O?RqbLKZF|shnzZ75Mdbe$oGcIp7d92PJa}-IY zo0?RN_L!E=W`v7e6~*NUgYer~C4;`Ia}lQzQls-}o8o!}+?rNCzFl?7#dkQ>K^jPU zaU=HF?%IUDpM6xj*?X#G!U{UTj}ZzvX(lrZ1eF^MY;hZ4IpN7DunE_3nnvU4#OIrW z3=CbAj-KEa8g>$xSUYCRf{|2gD|N(02q^DIdeiJW_e%>4_R7TsSM8_CrkDea9mtlV zaY?^^YtHwS$_9~VsHdW(Uj3xS>(ohAgS22(zn!YC^oM8cuU>Cc>5+ z=fmyNL?t0R4-H2Gc&|x^t#yws&s-h6AJjwuLZ2z30ZG-9RchkBUtLKfej;fkPqv z)cP1&pp<8EsSNMwsiCr{QeJoD_i%VyJ0;JJwfLE(g4J@>u4%(n8TSbWygbJV zFtbe!&+DcEsW(Bg&Nd0NgG>%>YV6i&qRkDj1Ir}Q)#=k1@NcwxM`T&Tue zWX-Kb6E<7PTzioCf}i_L$GZqL;D28Aej2x4wFRB_`^yRk3?TNL~n zjZJ}k0D%lDw%I4piAj3p=c{y8MNpc))@NWS4=xk3iURG|g|SHHLZ|1z?ZBdvOuCDe z=XM!l1V{zMA@wmsvMBd7_V#b%oX!h^)9K8BPhE6=r!HIz2wxY0KeP=TTE6ge`BO@- zY<)2L8rAImrwL#`6f1AYj=pioUo7L%P*0;V1OOSozcyht`6aM1`g3)qK&V6xhK zp27ehRR#W8T&jJzlMDa!~>HkORmlSeqwWZu6QYKNUu?Jt1XfUs`~FrU-Cy-^4Lxy8Ar z9oK{S()ZEQB{lp&(ovKe62H$nG6?8Z7qBKt_zg&{VU`rXJOb!)q!=;Pa1s5$}emdhF>XHx{<(+1bhN*=ck>FX|dl zi7(Wgfr_7|l-S*NFjEKXWdQ|k)cU^cNLA+R=)+uqd!m-YRU!Ev@wKerJw3WDMY^O} zA4E0klO=Cb5k*J{D?3=BHE^<=S^0Y#8wk%idF-c<_^=7$qfzq z22AfYAnyaH3bn+q)h(OLS)xAw*xWoBxo+n85)DL|<>~eyIP1-barNf-SvS=NJ|-|g z9_gullSF0O z=dDd_gED!PjlqJ!xkCsW`SSr{Y4#3Kt_h$zuyRp&48C-w7a*o0YSI)5Vxk4FmW^FW z^t&Y0wUDK&SWP@QG9i3;6le1S=v~XASTp_vqr;nck%Z&MX6ndK3@M(r<$i{kW{|R_ zdQMH*;neK*GVl|WSA?8>9xMXgnQC8&;mD$I*IxphS<2AeZqQ8`lhBqjV-{%zN2JP0 zLA(8@KlI6!eA5j%rNj=Wm4P5G1&1qr9fuO^)oLTj?vjyIgycnasRNkh$w?KBql-E+ z0bTyNQJR;_Xl(?h375<@jpG}LOa6WUyoOhV2 zEvwz^dvEFky~Vu&)p0pco}wlEz501qd% zB@kG%OEJq3oF;LQ9?qG=f};!KS%Qz4S*q&Cwf1`J+U>h660?wf>& z>3ortH=R9aZ;QrWFKTmr5&_Rb`A5@}qCI!)N&DnGZ&c1Z=~h`o?H~tzU38c1U16X9 zvm`Tg)siCP~$`qLpUd#^_e$?A7{|7|_MY(mBXmFyF5|J($# zv*b!M>e^+3B7>0SgRt8OZ?QNl0fA;_yq58e&(WTfi5wzk;%gI(l3$O@cNe4&82<9s zWXzmYTiSC7+KcKJLw6#^7I8tT*^~8_xiH!EK?gcr4vRTMli5!tp*Jea#j#@KL8nvz>r)n%*S zzdOC1c?Ihmwr)S7#jkd>3zt+&@crt7v!==0VfqO8_AMddx|%`y!$#mvXJw2jxMtbO zcOl3{U$6w_H1)llpfWcRsQo zBzZ~uk4^*(D4Uo!Y_`iBk&6p;0$2bJ2A@&~pfWCzkx_4aco5Z@yVrtBQSDlAcb#bV zcz@((Y6QT?2?Z1ZD8RT0pp}DiQR&-E2=So>r*$49WrTS%dR=OVx)ZmmN@sTnvY=1| zkjOP41YLzx2Hd5DNI`>h7bDt87+h#WBqUl8VoU(t5zx9R<1J@L;-Wkf_;&QUK!Kba zj41NV^N*O>k8Oddzu6fqiIjfToSd{Iu!Cc?#vOD(A|Qj1hE^V^j7v}kN3Nrl_;$Q| zG%>D?Hq;=WT|^fsT-e1;6a!F>BXMwd!Vh@OZ&cWzQ}ZeA3LtQWP*D7%>fb7*VfSBs zAbm#PvTH~NzbPAHVD852t(rLph-Ebf-T z#)sgcy^8S{oxRp2_sY2+ch?Pofo>>E2G^riaSaf> zRiai*_G&)Edji3H9yXQhF4D;tgw?F8B)gzd#|yZ#K$SQv4aW@;Xtto!E{ZpXN3Y0< zWIq8o&@@t|=FlKjuj+gpNZX|9eY2NzQ|GIF$`n1)=pEi>>I}FBd2efM1vOAvA^CtN zzS6hdy^(?MaHsw@E#w|uZOZ{&%6I(^`}8tV3uG1j91e{MH||0$&3#S#4Db1)??-Bz zYUk}gydO!Ex1#>)98)$Socx<++EWWj(`Az9)lGJ#Y?nBi9)ny+e-5T*FWOMv0ayTd zegJ@N})&yXzQfc#VU_ps~t82X^X|g_+0LiRVni(M-ss^F*3+%&!9CIw{V?* zVFB4KWImXQDY%V~A=~hH`tEWu9qGb*_Te08#d2l$7dMMWPvWbZhT^xgj8!g>#@?|zx~Ze?|^7B;MQp2nlwKfx|;#Ki=NBQAz^Gxw+=Q&;ijAJ zN8_VICpde;SyeDD)n!|L866!u#ZLN(D&3R-^>$ZDhJO}=d$5JR()|3#+Jn=*2h+o7 zeByTDbWir-q0@&ap*{?I567DO5-E3*Y%ytN!E6IGI>eX*IIix;h#6o;pB_hOMNiN6 zk#_6$qhVp)7qBuC&oPiAF?)hbZQM!~YDgK14Bh)>l{gdDExh-%;}b_Xl#2E%xpdkO zb%bc*kf-;t1;QCu&y&{02O&pQGDq~&RSK50aT9tSHx?BHl5ps3D`|gRrmV;6l=X>W zzk7_Y_la<)@T|}W18_pAC(kXL^rdc*3t{l7mLhHfCIWEk~6z>z6j ztgu9A>I5CH7Vc|ZMPs}us|FHt8bK7w>yUU^w|;OPOLtt5OfKY*xk$<~E>m^z-j5ze z$C?2w$(L#Fl5b&pNxMH-wEz&)_}rapzA~(1Hc^bC0V06oxly!rOPw9)SmCz+S4mhm zO;}eFC6jywQio{xv&SAsT*E0~-D_B`Yg?b9a&!nb#R+&uHw9XMi8TD`9>B%!p~omu z!y96xj3$k>;EPqWP$t<5mkfkz-;7+Vr=PsKMq6k&4VI-V<5%#*5UoBWyLS?Q9fJ)k zm&(B59~6qVd|%V-kSv1QS@f3V-3`6uMtWOgA8zP58OWTZZ8?!(aY`lo3mjaO(VD=j z!sGkyIb>SIn-Gsh*|&0GUUOYZhz-qT)ZEVS(Ah0~vYBUKsj1IV$4hCJJ)3`x7qA{& z2VXw^oJ()!n)z^naK>44-aBb$G{|i7nOfM&1oEU7ZE0vGi6oeRc69V$|LAC>bHC8( zr+v#(h$(rq0)40v64BJg>k0?Xca=@XZ{C_tW?ubv=OY#nHSSZUt)pBX@Rto*ra@8E z(ir;ChgV*XrSUwf;%$~%i`ewEpKpYYD=@@h#v(kTvd~K^#Ir zhg;Oq1d)aHYg#hk7^QS!<_WoQzfS@2{_N5DxjBM(qPdf9ZC&QAw4=Y>>~8=&c=c-) z$=T5m78_ews3UL=zT%xIEw1Aogx4f|cp$;jzZnoL4P;9S%RyvJzWn7N!V*6h6K$0q z9n^soD0ffB{Nv8U6u?xQiaDswG$FfisKkUiAWPFYx%Bt7%Iroa_1LV;w^$1i{B&m{HJs9g9R z)$qpVPS;mp!W!0VnZV#B%9G;&#GOfw#^M@QMNVo6F=mqCNF!cO$Yq|VxLpH8@6Bb# zF>vWL24H&?t(8@r*i`my&fLgS=9+%)OTitYJ91`$X*z>ab$GNW=4nVcZ7rS+u9 z-G{g!_Gt_5B;oyD@EEjYu7|fzLtJk1J!luLnkBm!Otp%WLI3kn?~C1$;^4k2-(Mm0 z16j=W9k7Jl&K$^`$9~Yj&6#%(WmCtXONzFaSZ+Sn8ygnrP%X%3|?5_IIL`JomVhES;-h2G65Z90z{Cchg{KwY=Sh&{4fa8860sj z2F4~kP86iQjEzWCtNyRZX@V2?1t=n@{~n|N&ZFCBI0DQe23pHz7`bh&mqWldbwMd2wFxYyS7Er@{WzV0Lw*vTeT17Ka#d`mi&nH zQPEP3RQT!QAXooJhTHK8wEFf>bn9EDGI>DL%VQ{-l#RNXEIpA){xbqyOOH&4wGo9% zl0$mugS@GU7Q^4w2r8rln2i#YTvzY1tc^n-hS!utU~{)`AadqZdWW52>S~#pVmfk zQmdU8#v7cX>M}-e=tK^C`*UY3x}VCd+xYB=!drJ2=VBGbnhqK*zWD)Rb}XrlYcnY> zG0Wg4G2-;cUxe%oM6dV2myf*vw%M z^gM1(OM;+n=S-W{f+Wo}m{L8ov9I6zyvP=D4B^B)`lgKY*NNeJz-_0oEtW!F)9#TH zW4+_K6%)R@Gei5c5)=6zf}1AI2V%1O_@+(iPqG*wr(Y*ov7IAC^Y;58dUsN>4i5A8 zC#;2FrjLEp+Dy|s$=iV}xld8sqEcv&3ML3ONNC9_7aI2q5i>P6L&Is?;L}1P+ZI_m z`C>g1b?$2hC4fwxibquHS(0tkq4@pW=tX1CoXkyn(kpsF7}rytZ3QZ6PToB7Ed?d3|-pE+3|+e&lW z{ae#fMhlX)KM{~xx?LM@EyEA6Nmbsaq^3sopFRQx9&_9=OUDeoOR?1dDB z^Hn<LCkepkF^_0HCS|?++tFUJ7 z<$Db0SLkalu5aQT7BgT8Jvf-O!WV>;d~*dFt_TlJ?6J#-ay)a1q?y;M71Oq)0xjW` zG=qK_&@{0MK;inL~mPrvW!qy!GW-ny=}Ql5J{DO4PQUTF85^cQ8dQ2bW;`X~Km84VO$6#S%* z0w8x%4QNuE=1GgxiOWY|eFfcf<@V!n(nBCZ`Yv-HXxVB+$6WaSw+P?=%!ThiauNHU z&u0i+|MbE11YCee6Of*mo>GB3k^0pXiUq-Ys@u9V9ReNIy5JAbY;gL=-t$M%KdO7C z(fH^Ld&hRpG|)LmXYCmbPHf%gFa%sGHj9B~Ycpw~9xBg$uhfO7Porngo<%>X|ML$Q z`^OP0XrCQYocOO04Umrc83=E0*imz$1NAQ)LTqqIt8daBlRnH27Bi$`;gO-L>Dbj% z0hc#05*a3Qq5U1JP&@E$Ro`TW|B1;7f+y34BihFDhH4^p^5xm$48*6cyy%%ec4US*`QiQWD&g4@)mPL?J!m^HAXnBd)2bJ@8}j z5eO>y!J!|vnWpy3nNUxc^IwBtx#H>B{+{n>_|*7HU1x)fV<$n+RSAR!mj7KDR@@Bj zYy!3i7<0t&t^YCrQSV$swpufRbHYGk`^~d0@}R~MVsDLVr}Ti z{0YNM5$HkfTckq)w_$%LIzXheU>Y0YzF^5Z;wA8Tu;~2SXg;Z7XA&*=ix_4nxTp-H z1-N!S^OKg_G!vNk#^ZFks{l2{^Btw#l36&?=?TnRyz;ULLMW#Ou3Z$Pd zS8AwFG{LN+*v4$)*Cc!ZnGD&8fXw_HSH(PfsGTY5ULZ*-FOAWsvk@*63Zj6>XpwEHgNV009gfjGG*a#j8 z#RV7vj>>%SvybXS_-sHejsAAE_E;*&1q8fawz_9xB(XtDH{_)WiI!pV>7CrdrV5%u z8cLcklgtt5ZaQfE_WbG-=<%=O8$Ph1hMCC?pr67jtC?1^^~2sNq(2%ddm^Eu(|1(` z70JlW9uS@irUxMDC9dvM$YV0fWOwqV2p@`Phr14wmjvdCOfQW(T+k7wzmco*4*rv) zL%_U{ne>bZW#VO?SZa$E$QBZzs`c+Wd4+heV0aOwxRlARvJN0JgJm@+G~xTJ*YF_A z>XZni1t=>+xgC}y8=RgAgWzTbxJEVYS)^=-dO~zYs!a$s9)D6=j%sd#6O6?i;4NnM z!c{eUFS6|$U|v&i*hUujGO1LX$1f)jqF+)XE||O4-|lHl>^(r&;sfhjjOJ-HUdPeH zXu}E^up3l}UxV%B3KFEpU(8dl@h$CHr&*!Q1=TUUo+fD7uOC0$*d}uRBexBlp~O?| zfiB1ZVnCh0BRHO|ChCbds*u;v%IJVJ3ZBJp(v8|Ff!Aw!ql0_Vc>Kv16LtIW=DsfQ zI1a6)MOL@@tA`uRXFeF%xl@P|ooeiM9nArwrz{(aY(LooPz9LcfWQrq=;N33VXdT6 zs_2PY%u+}c!)EP0xlfPYMjy$A`l*k@=mYwS<3IkYHb%9IWWa`l%EoQRd%Rt8P8$f^ z_{6Kv9Y8;lF;QSl(xmEYHI2l9lJpN!-Uy=OJNG3mSd5;?W)8& zZqsF^bEj!IWq?>s}L=K(Lo0?Guib+8cXnu@3MY1ogP2<{`>Fk zqIwO#>>V7BG-cHYFB1iH#RPMx5w~lWK=J}WK0Gqaz>8D?f>PDjX|b@|AUYwugBW%K zTC%=nvXGFu>DdX2hM%48wE_#U8Mavi=x}VVOVae#?C6M$BvC}iT(P)uO_BZ6y$A-I zI(|2(aGs)DS8!vvE*IMb*Ndb}esCIPfJEb`F>lGFtV{`|HowVI6vl8x6^)^EjNCGi zhimBw=<6DX&$d)=rCwHb(0E(LcsFPC6nS=|oeX(_@@I9Mivcp^g=C)|mfk1e@#Jj1 zNhjb(CMdN9YAIXn*|X^B(;W;G+A$tqsyQ_U-~QRL@fOPbs8&J+dV+pSy{NR^8s#hc!WDxZvTQ2l2GJW3sEG{S7~t|?Vd&BlWFvEbbJE;a~A!+T5eAC z2UhDa!`hhA!h8+Odjfe)by=(v5YevHZk+q+QItPrP6d?8pq6RKW@zCwp#o*f1g!Hq zZQ{AiU4(DK%Jr+l=1pL_6&^ou8tsIW`)`w<47B#0eRoI(Y9CsyGxh9f)J+-Y(la_R zt@cpsKqu(=9WZO|cE_MMj-e3}Y|kv|%cUEDSCZ6xb(n zm1xoM8`rOAmljO)rRb}wDMgtl1jNU%-!nwMP``DrKkZBd?c!NZL{PWryYuJ7fbZ#1 z${f`iD6v$Z&bKptawXY>X)6YW7ACrj8x{o1@{t^a6wp}E^FU8wk?%e}fAZy*zCsxl zx!+nbFK+L;=G&vDl9`1HU8h>Z#5%|LJ1mlml-UlAcA3zkM%j7XY+Vy}1}xb%UD4*E zpShd>Yv9DCeS*DC8=UUY))7>@F;_i=X3=Mijnkq!7tE2ah2N$ev9*q;g9m4aG@M52 z(xa++P*s&q^~jgR_vVej!$@9fqnN8UX=Zs1lyyHJSBL@Uz2Pu}qYP>9GF-r- zASoo$RgYFdUT)F8gVUgp|C4XjytDSxEJ=-amE2fyzy{kF$=_leZtcfu^2`*20`Xv)F#qQVzJ*7NF}`PyfRP@I z!bJf9=2K*YI~gKX$xF9&AX#gACn9FUSf43ML6`zxYYqRyG0~mK{1jYoB&A8%r18w+ zFHBfalUzMEfk2PxYEJ-a@DhU(T=*RMGn@#dWVs4P6Mgg5Iwy+K&F0Xaw!OX6sM>B& zy)wJmT!P%S8#n|%)!$%`Y--_(j>+&3#qkH1vBEEU(IHpY!-HDo7 zr-y89S+}iB**G|j4$ek$8;UR0)Omxnh2)=QH&X#n)mEDe-$L~s-S#fJ?;;*lA>H;) zzE=*9Q5FsXbp=f?@c*ispFV$V?$Nsne?VgqGL12eR4p_UmTe)n<7k{0S0;!+ZoS)o zQ-?Lnx&m8}l*7ujYR;8dy+^rhM7-hAh@Pb@_*ysWY-wZr9NGh8X2$>2^z>V`;tHuE zsh;B;rP%xCh#RXWJfQ;A_Yv~iemiKzPoS^thlYbC5frFmUhu_HWjxT@hH85!d=W5N z@%v2o{`~%wtr@%z(CId8_l6w+s!(<3v5Bot8jf9kzHzYAx&xyF8+}pbjE@2Tvp6}J zKpNEEpP!yG>P6ww?sSisFKe`$8yV~BvRlsqzgP-`{~~>(3qJpne^7n1 znE~xQ3{7zJ+ga2yDB;!K#1m$uAE}|4Cll(*yx>yR@cj1z(bOiCl^H=a2b;6yFi#b5 zmnZWrxEpcFLlBqcxMW#&)jD2eZStm(r;+|wyw9k)o4sb0s`JRRc%CeZ95TSn zv-A#bU6r!uht!4ly=7f+#2-*qf(V4Ss_8lzR1@6xF8Xg^b>`lC)Oq`_^_;7nQ~Bp& zS;IUPI;37p`jSCuDTY&``?!P7eH64rLCrXr{sM>S?$GC&;ULurv5?yY8{4vw6zRN7Gp{+Xb|23R7 zRLg+s?;0?f`i2UH28yzlsFT377_J(7h_Qj}NZV$u`rg+?^|K zlrpUT+Y~1cJ9wKj=lmKNxwZedp{Ife#&bF_exnbJW3kc(L>p|drnEjyavC_C3~Drv zs?o%p3b_0RyCC?Bqw(~?QM4vNKguxF@tSBL%&7o5o$xMnF>CCi^|*UN49a%hJgWGx zhM8X+dVzm378h#L@qa87u`!VM#idunipNLBhkJon(65gdqxsD|BdIN~@hi}ed(^07 zwR+Tei~X**z?Q&Ul-vA{F9A=Cr(N%W7ZD2a7Vls*$nE0nM_<%B4ntN4gnDXtfQODo zbq~yY32Y|M1f*=vIUh$yA^kMch8p1Que<45-2*4^elf9XcW6TLPFYGrO|ROOZZ9hD ztHdLN6&X;rO0FrMm$0{i;V3HTCodNU-rMrL>Q7aGOJM6)H1&oKtss@!JPDzVaB?+Aq()i4La6 z$GcN<^zQB(KPdWog@?*O9SqZ#J-_BlI;{eCp;{MQg^CxN-`0MxFjZ8_cG(XceS2M` zx!Jn1?QF*|%w;+w6UoeQ#k#=Z3r4H-R31g+Ys`OO{$}Glec5!Cy1bK}vUdnvB+Ktf zk%OnZR(9`#T~?Cxaim6dT9J)EBA@;?H+Xfs;9elxbYfOr{yT~{=-hQE&Nn^e=5&W% z&U`USY1$?N<)30nMkL6&Lb;B>m{8&H}?DpW9o451gmoJ+16YHbbx&*uv)Abio$Y71NA z(j-=pq5_w6U;uC!C7$U;vRRp{GufVI5^Q;xR-sXcUAZZ(OW)Zh>DFFJ!{^xWVaG`Q zo90bTp8ZpjcE9~=6zou&+^iI|;m!^fN9KA61mwg0YjvbmV<=OTcegG!>lBzO25cr5 zuwtN01%>f~M`TJLo0-K`H*93x7_mAzK(jBf`54)|NLX&oaHp8u5Zx%?aIT|eT4oee zgMzo}+ti7{dt-XAll>+AL8d7Y->LoT*8x%)Pf5wHFD(h9@eR2pk~e8RtPObM@1hBM zhPg>+7S|5;q%i_adu*8DI<&m%Vd_by9`Pvsv$&3jmPX+QL}tq%hUb$cTY|^$MOiS_ zo?O$wN4z_on#I4*ce1UQ1?G>(dA#h1IPrCi`!8S=BaXzJbkQsb=!6;^2}R7Ez>`LB zBYGOWMNsUv@1l>kKuEJ$(Qy|aQ%Vr2L8Qs2u5pGX1yqBo@krV;-*84 z7u$Nivh3kFekDkx@i_sKsy}IbiJLBivqD-!t zHV61EM|Vd$5P;#vN`l&is}YNvA8bQ;Dsn|46GY6x81sBNxftEQ0J7%)Q~$)+TT<#Ev-(u3ZE=a11UY5sf}0r? zXegTws{g6UaQ)TlrWR!1UToO3OY@UuNn%nXM9v~5x2Y<1PiYcXyt8s}N47fg)(O>o7eH{SCL*FJ|c!>SdenSc?n-$o02d+b+ zX^Y+@MK$Hr3#%1QR@jiT76Zb32u;-n6VW?Dm_o5%$}4M$88nq!B;Vx~LkJ+%`JM#! z9s7fyCc6eIO6N&;zuf+hA4p@aL5e=eqEl&Tz6pOl2%jGaph(5f{b{leDj$Os4@0J+i$>xouw36JdV*)yFP~eB1Wr^ zLygyEeH%k+h~XtmfAl7MRc~SGQ$}j3j$9lr-db>yF3y>t>8gt3$l0B_r=l;Q1JCK9 z$LO+Go9^SPD&|bS>22Tui876S{P^)m)*xoveX7!ri`4P%%1!my1+F3s`)(W5Ky=NC zpDAnh(`>y`i-WP^)Ndo5f;iW>UcMMbqJtHZD|U zh1NKTVS_*gG&>MCjP6Kh)W~n>mHgo;emxRj9bh8RHjw_YzXn+t?J1Cte*PfKqUj-v z0=+}&oE7o9g3GKHLLDwueH;-;3Oz+^tg%GkGky|o`%JxnGLxgn7Z-6_R{c>zP18&y z!0lAc`k2afb@`PU#($-z5Qfg11JWKADv(3a&=~z0injk2E8Gk)=?WC_6?Uc z;#QcS8-jyiLR6lZbd#&(27d`>&GGl`aF2?;i`bozEkm*(i z6+vt5$(uN<9i!B%9&fPcIobcul2UzkWQx$=!tZ$iXF~r%4u);VFJS%6laT;0=0#+i z!od`aW@vT^Tn+Yy85~=3664qiHOuduaHF6eKw;6yL>qI6>c1CG(y_j3iKu9)+!<(6up6Ko@VT8~qUklrXu zb9t|_Zx8_P+0SE2jNU)slX#IaN}*Eo6_(X|RK$;RgwuzdA$@y=zz}@2y-Wajs>$=C zNRZutN{=XkGYm0FT?AcBZ=p5N{|Pi~bmDu>B#SkZgdSObc2E*%j-pH`>}T zz?d?=COAwUq&&1RDb0_(3y)~LtGk)_+=nPiWS8+1@Y@L=W0wh~KNLvX#d9x5E&xm< zhGXN~CB9>D%i#U<0%9cNbChHJ#Nl?@f{-J=fyaCH?9usoJ5I&L)`k2MJ)w^FIENH7zWtXd zFz?EiiikX8okDvmX9)C@|A`X;KNCu9?Jz)OCYnA2WbrHsvLx{A!0SOW5ldahv5FSX z8Ie&7hT;w>+7y}g(qrq*=C`_`eCSQ0wr!bCBzsD5v~k1&Sq-=I6?VbAxI{+knp8fV zoIHqy0#ItSp}1 zD7E+O!tDz)?k}rWAHTY0pxQo+$lDeBxIZ@_E9^P#@mHXQQHxB&u0t3WSzV2zT{yk_ zGSBj*$W3kTe%hQLQd@#Pi}r6p10%1Z0<=l{Hf z_I{!^pcnCcjRGt#R8Qc}wXsRn!IcJKxJHSyz{KEMS{0EsnwJsM?d4fP>34$*uT{a2 z@;+x+oDfS6D-XYP;oeqZ*!u!LPIZ=Cz%ZF5w0R7C&)Yxc8~7gF;sWxbc3c53H03qQ z0@k%Q748d4sv=WG7T8!k8+mMw#7|3N@*UiyT&rwqn?27&p8oDtZD(4|X>84U6ogX7 z#>B4f@H_rgRi8qZ~cK1w8HG}(JEF{2dUoP4>Q${@+nw8GN{)t2nY zV)skdgShQ4KGxsGkKK+bK%h?6_5oc1OWo8`I@%5Bm+MF4MK( zaV*Jw{Cc~&48E^J74Pa=ZD?UvM)ryz-ZUVvyJ58m9v5*H>0Uq_5GQcEFxs6_%?&Nx zCfgy4$}6J>Zf+A<2x#Y?;|>>8dR606;KxnOiZV99lYNbx0>=hm4oP+VsJ%R;%MoNj z4v^XQ)o|Ni^%^2N;r9$^;J#~`Kh0M`N_-Z6>6Y75s3j6U_7T?Y+?8QN63=ZQ$;NP|&?o6;k_70Isd#@t#hS$P-PU|Cpk^YTcvltQUOJ?+ z=jbKZpgH5mn(#8kWw|I(rIr8k!~Z!Vh@jF#~x1w=UPX_nC85vGTS znt)M+%5AG*d2b%`C?vtu=dxqH%)_9|Gy?&O0%-YEZ>cqqeEx$@-~JP%{jdq zA*0>(FyUAfjZx3_DCwW*7~?Mt0%8NJ)TN0Ddp6`D?r z)n;*H*RI^50Pf3D1Ovt#VN>uD8>YgeR~=;Z@NBaS__Lty6FYt9wwG zVb^u)A>8br{LmMFr)!2TkUTyP5nJns6ANT%GZ-3&!@}Cdjun#)QzDRN)Da)fL!#T$q z2_NWaAWSzy?7>1$=WEQ9WNI@;^Y_ZwaW;2537LS$>brNkkQ$?)qNxr9i0ur$2>woH z7{oPQIvFBe^$7}f?a|hvsX*%+&`s4@ATEypWW1{dp}4rv$QPG(U5$gsI1U^$r0O(O z%I$LI>Ac2U)&FX~!~-(><7Es($`bAiN4dM}xUxSy+k(PKmKR#uZ{&!v$Ki+1o;?I3 zQf{ITi3XWB(QrVN0_N%*v$CFieJT(;YbSd*qfOjz?lX9cpz^gE`boY5lQ2^gmN*k= zJ7Mi((GZ=Cnqt3J|8SPqqpY`@X#(=Ea=WH0daVT6A z%Lwo2BdY}2g?6$^ETWN#V3^kI%akQpG+5dQiO?ZZL4O*T^S&B!%M=DLzGowOjw*BR z(PIvMdRT<(5=6S5w=VUlQR;O1)}^W(K3)a8&-#v&XtYS%OT?Z zmg;*jKAf1-Ez2ML0stKF3||+yBiCy)zd3ss0A+l}$dmQ> z`8Yb*RTc;MLOgK}zOO=7XD~}1fpDaDU#MAGV3AKAf72-P@D4?0^-Sxt^W|{dF4s@@ z=OAi#P{m#?0e&*(HxNW!%<)|K$dL&Ayj1~Q)65O^Av|pp1&jisfUn~mJv9fOFyQk} zQ9y6$H0}X>3EuH-+RXTx43W7C08b+slLUB6{1;18JdDxytMNRHiBkSGb ziM)=^z}s+k5RHpkdp|v0z!$xmfR3mgkOEPo$ddF)gVGBlV>fZ$*%lURX$&@XlrFc$ z0+QC?MYAkbl_D%*yuatPUMdH^xT|X5z286$;uYX+x8)6TE z*Il)r;_C5_d=v~X2SRr^Yga{OY&JFuJFTHWxY>%#a>4cE zFN&+3W)IFrljgD@snA*`i}9y7qR@dJX?1=EIwBB{Zghmb=UsKg*#k%dyjM>gA9l+6 z_;Km9#f=&;2TahqEfG-@*Ti)zG``Kz9XhDAX_z1Bq_ZQM3KSWVT2zL#K1Q9XenN&~ z2BACGV51*_4LxPdGU`sZx`{YJm-u3$6dlPKYOTSkX)> z+FdkwK6;Bh=bL(pg8ZSOtvuH^4{GIg-1tUbd9UD(?m}8EYgv@w*M);oU+fD`h0N(X|&hoo78dwA){E#Oiq9uh}gyUkt;Un1_XH=8`J1O-6DZ)hU(&FDi` zSa3U|Y&ET>4pqS|YMoOhfZiax5L@JF7ox{tAcc{7x##@G$ zcohrIt#FBW%N_b4hU2Vyw^>~FwAHzFcnzx4(jP$<79Z@c!o7ER9fZ9#bIs$kmYXN# zLf8q1RaCuo-2P)9c2URagU_>P51&3I_ZuJ8d_2_N!@Yxt)3eiQAZq%&-Dn7+08DHP z!Tv00WK0wm@|nkFk*OJN-57ZHQ8V~SW~qE54_wQjGo0mgq$eI48T+x`Jq(KIXJ&wv zsAk)8sZJJGaYK`@g#uv=><8vF2k|O%o@=K&kkRY!l?f}*0@u+#P#zd=EY~i7KETRo z@E!c~KOw$@3OF&+=&IYTJd3M!;%fLj(~rJPG0;osTXEyk=&v<>@%mxF>jvHO?1*-h zzr96&L~}xX#2tAa7zuh1_3`%Aso=yc|C#EtH1=9Dqzx7^L32mjg(!{2#kMJC_O#cT zS5;&T(|fg0;AK7WbUcq>;XD4Q8`8i$*@EF7sqH#>m;I;eS4#sIZqYmLR36emB=9^^ z!x6)Z)qUE?-GU{dryYm#9fzN7%yjRawFY9M+?acOJB?9OYkU%~y|(C!Qn(FhTj=JN z3F)HOuScQOEnb_hC85qW#p!PU(T0wfd7vzFNty=oBI?KKog`I=)^=$yqGU;lBRf*zkLyj{^XZM0@xgx4Qic=mLS}7R}O_J3hHIQyRa6m8;$NePcj++7kh0k z#R0EjU4nOejplhqCb!vC6793|Agcx%>QZAL>_uO3pht5?-DV&8I4$@167pT>fEzAV zz*DDwSI3zpfbIc#H-{{@?Z!`6@d9jxPq!+HzB2=7X9k}s)Ml6gRGL)F7sQEG()=Pn zk0)j>D%bY)0$xsSnua`xqyRba*obtJEHI3LWme3@T${T>x$E@JNUCp9uZ}ms8#Px` zF3%I@ddAC!fY*Egfa_(}Ix%nV9iyEsxs6~%R;s}T2azMvMa9Ds<$QiUaMS>SXE-kH6!DNk=5eN-rtYLyVHqxR93(8-mysLC31#<8nPL#)R8~qTC^yVX@L-P zH0=luV;x)km`=Ispih-yZUU!s=oWNKJwmv*-(S%dh`_mRc<=4BeoVXn^zhEqhfbia zJx8mt0-}TC8*DLs}1a5^_5Sz)g(U zK|gEXAvHBwSJ%K%p#~|)4g)3A1^kVgZb*hU+TahHba4T=Ws`+X`X}nB;JNep0&R2Z zvYM^Xot3}OeIJc~n2dPne2?P-ds;k#-SC4Y;jqL$i=>Xz%zRA9*U?DRYVr$Xvg0No zn`_k1zLa+m3P%W`K~|f14PHSnVr9%-240zss{WTXdwDcg3u3ULT*>f;a^A1H5Y#hhD3;>U=F?eJ!nM6n49VMk1s_sztqK#XjQIqgL=0?+D@gsB7AZ znl2Rcw1=*MjJ)b5yNYuFM`+}iW-Dz+-lv$(;qY2tp)JZ!TBTcE^SwxFO?jrls>baM z+#aN-l5C1On3Z$Q28Qc0bH6z5AcwlbmJ559^N`M6`0l~^gXoK5OBTE-U zn?2F6!)T|zKyy26glf=1P}XY_D8s0p-L=J(EWWVIZQL;=nbdR0^$ET;tpS!us$;)6 z+iCcWAt_Vs0z0Xa67BX^v!kbF;Cqezq?-lVY)@@nn08CQerrA=W%FJ^PN%gMhiG}< zKKan6$wppmH$4z!XWva)AbNy$1F$|r5o|m|kZxcEgE~)QE>#1WT=;ZR4z(MFjo6bl zh!z&&S$rIh^#D6fH~u6*G|6AgkpbdK2ihbyclE!rgh=%o#uP>CEL2C@h9)lB3U2?) zf!rak-vRHxo4cWvRpd?(FRz*|hK_eZBjUa_-ha2ZZsi!c6Q1jxzO@6^%EQDWtr#vl zq}~Fk)ep}aLN3A%>FF84&{&V#Wf*IuXb^Q>Gh^;qTp@b;rSLe0Sz|odi+11utOo@T ze3HCyDMpXz+WME^H~7gujoAIR=GhaRISFSzq(20PFjBF)sJ2A9x-8ag7h4iMi{FsM zi^zM|a-`G_6v*VOh<5t|5pD~Q5^wj+7%@7+^3pIO8FzpmYLV}uS>(NJ%Fz)sbkwe4 z=-*a@q6!lsLKFA*1RLV*e?}Cw@ntL%9SrZ4zChlH#=>B|6)4-*RDD5KtkK1&AP3Kq>H9(sOF03eh)m9VM5siPTQTm%pO3YI;Mj0~DbbiCT)V4?fOWsx` zT~(Dr&cbX@E6^t8@<#2jHK^k;85pMhUeUct*r}U1%Z?ddkzBc67sO<0Rugy%r%`leXXvvwDtvD>~8F}I>`9#d_~Q4 zfZ`BaUZgr%)ooBMJ`$w)P&66_@4x?{%O@)5Rox^PWpAXW7Nrb%i07E8a_Y>K(>B^r ze~;mHEtqC2W^xB>6S|_yzIE62DV|db6NJ25h(8a2_>G$`Dxt?RczbN*wQ zjrN1QJ6*X$at~-ys~P>8c%=^x(4$wUN#${dQgjLJQJCn{v&qO07l(OFQX^s278^c5 z;2nOP+p`bbgMlQsy`8PIBBTe+#4-ACHIRbD|a9>HZuSJZ3U>%>ndN3|vQGiNwa zcZ+Q{s8eQZLg=tkZHlOuP1}+sI;>R3$gJ;~J9@`zZ~u#Tn2I#?l=?ClC>oG{GmJpe z(gbq%S)e?7Qpfvxh9{`hskaBs@n`QhHA$LDomSt->T&t8$5a_uV2hJzf10yRDb#>4R$?k1j#WK>;1(=yG_qd z_IK45`^9zvBBU7XQ^(@#Jo@axlLtl%uptg}kJzK#LYHeYYT&!AljPC_9N|YBa^$ci z#p)?A8H_?wn8f~QLN>e-Qh)ryQ?`_QyG0M0n4(*f>HRZ|;ek1OMne)vjqF2{VAwGb z$8nn0j68Z{#*0BxdCmBvSL(R3i3ezsh<+PQf^o+oEpcgM$DQ zydYIZI5 z->O;_H8O(YM(}q&AhyE1jBh}zD4?CK2}=y)RnTG=0K+R$u@eiH@1%^(!jPvwIN*Svhooi(h9n50!zX!ORj@D}7i6i>oWxUyF z6tyhM3DyV0WEX%AD|7ZBRYi$XZWiGVl)O~DS~s#4kRyEf#TwcdDiE@A}v|0tgyHo+Qa|$PO5|-9lRdr!WE z%hGDK;U(+K^KYWlC=f@oTau5t+|5u(wdyI`w2+^g@F`?UB=Yv zrL1-qOwqf9T6Nm_ue|Ybxh+BQ%Pu0I0GHXQeGJm=fV;cYC;GuWX8jq5=IXw^+U9}Nm8qGMf8?9K;c#v*4WN*wF6-62sEKB-MAf%i zcQYzziX`zR)__KOrnZ|5K-J)s6ls)Hv7&wgBj#j`DEVxY4UPzv#@dW$`wUwf98z+;!hS{W_g)+=0C%!$^4e?L_708!UW z=jOe=-M^*AJVKjj@gS5FF24wNRijd5Q9Mtsqd%9#87jVs?sD1jc;`r@cri??0*<*L zY8=tEh_ht8Hn!8Il5gJZfEjhTi=>+EE$9;76PtEvM1`ScN0H=-@t z$lv8){{Z%;f9Fo>Nj@fteZVNj5*Af*&X@shC4H>DFgP}LnmP!SxZyeVqus#qd}gPE z`WqjBZaw3N`hnS&rdbL-v4J9Xc|W=A4qB^H6Uozb%!#a7>ggdNwqU}X4zM`^x6uGUuAkN+)R=@LR{#x1Rgn5vhwc0qwE=>0 zE1YlAbqWn;U$Wa$XRz}@E8TR-9*jh4`Yy!tIL%cbA-pVC>Z(eB`*$NGdBd~#Kk;tF zCfhY7D}m+(+fPsoX`X6P-%!;^SJJVEU(KgYS{3tka?_?3>8eDIh=C7jgDD3^9}e4@ z)Em%*me_iO{mfUJZ0cm9QK3$r#kR5vzqH?#s_@H#j&#}^DHCd1qQqaT93gU2X{wl^Q_JOx^{{$FM_V!M-caWjn5gh5t6s9~f zWG;)8*0dKk*$-4I3$U%K?Ik8?N-Veqm8;&?1%1v1wIMG8psLs)!Vy%5uy9;pG`L)~ zR1E{rx>Xj{kQQ28x@hB5DB@cv;_cf8@CGnh)TA(<)ByPm?GwX%`8(!OB&`_x_4b=~#y zw_9bwB;_ogueHRk)YJ`|>PAyns;pq9qhF2sQvVGuOUY$g6^kUm##pN!Wv4OU)OcHy zmU7jkp2HK@;Ta-u(j-%l>BBIF7gn*xK~~1DpPud>o<%6=rp76I7Az=LfM%UmYD6=-Cj zEA_fT{ilw}0DJ7=W78w-_yK_Q)c^hrDqlgO(n=jHOokqZ9>k~M0SG-1SPZ!jTAv1h z<{Zgh#POJ$4EQ}T)~c+iA4I>Tk1Gk=MnC}$s06i~sV|hP#bgdbJotWi$b+`yxc+u*68j;oC>AeQ~L%) zofO~af?vgH8LyMHKhxNNvB#V1NdqqpK;0$4i|I|x&EZ#Wr7l>;gxMWGd&Qo=JO|&3 zD0&>j`mRRU@_L2sc+7wEt%+?G!=2T~UXUPOOTEjK>fK!dIy4%8{%SRO5IvLZfS0O} zH)_h%W{Gksrp9!K$n-tl+l$Pvlc3a{NhGx7W8N_ImG2r~Nl;Fi{G+F&byp%8M!9Vl zT-=sRwFBQMLkVtuQf}3h&669<25&R_L)?kNnT>%J+|~`t9*y15=)49ijV_C|*|sKS zy+q;6dV&=Eho~bOJ>RBvWe(C=7B7?VK^iZKD)ehg?{nv|9s1_imm>{Y}$G^kkG>|OJiT&*l~$z%E<$XQ~0i2Vpda#Y1aj68XqA?59O~R5Vs+nmic|hEg zIX|qKkYVh=wJM!uWDx0{0d9gLO?K11%-KqGvDg-Mrpk({!FZ!HwkeMu$gAK)j3I64 zu}9H#PwfWlYmS4jeMF;(=Xrq*d&MbxlRUJJXNuvPO`PUZ zW)!P2=K(4ky)~^~0TlCOgeK~As?*c6N9X60yPr%A@2LSiT3YglxUZs;m0;OxXF+)S zlOYW6&dGxCS`q;UIC!Cu4Ne>s5&}F8^1;fRDek6kf11qUc4#Y<;*r#7Flj?o)ob5$ z9}k6&Rq*)P!xzsatGbqbc{DwWE;kypGM@({4vfIOD2ol&^cZA0fXw7c0kmII4^`yS zs$NzH2EE*A+Z!P{j*HkzB!w8i_V?9zi8pC9zR2{%nWamlZywUtPt?6HJ<-E!BbC7E& z)n=gzcjA+#R%LVM`}d)gqnq6_osgYc)pP5HhQD-hSR+3D{CCOP(k7^uR;tK$>c zA5Qj-vtkA66mV972!pLyr&G?&7>LH;ZA{VmMxN3z7oVgBejPoeDmwxQ3ZhHx|`NvBl}LB;)i0slED@jq5%#Yv6wv!Y}ho&2W<63p8gHBU{} z)3KBFv?Kk;X?v=Z_B7Y4l)Mv-v?r^h^x*Kp8Ky3)RR=5Gi4JwaJJH!;{&RyldkOD7%L5Q(j4#O3}!}2?ynFRijnO;JKgVt4T*@iPFA9a_xJB2rls?| zEDuvLUxTBy(rIEiApiacK1&qgHu1c+6he@VX1y(8l(Sj7S`KR4-OiDuKu2Sr?qDXx zNN$MCDz%5*I=$;x>~*ws>yKD6{;_H{<+o>`S09#>^cF8UF^PRts*pfr$q=dbFT2Ft z9awU^kU{^Vk9%Y&V-WUeEpcJgx7qZ1jdb}~n<@pei^#a&X=7-$d+u&@d|#V?h;bir zW*&NmQQWFw-B)dH6A*#4iUTc%f55yCBD~4Y2bu(BtrR%HC5Xtr&|AU}?{8K+hcsbX zd$iTu3#<4#PE%#6K(0~31`r+$Z(rg_{4R&rUp$KT(9^iBi(L+rkkmCocRg}=*k;r_ zUjx3IvF7yd+{+^LtHZwd0`z-3W*UzJMdYuB)y1X&)ZSWSF8UUmX^7!%1-_toMpD+RoK*S!@B`jCQ=X`w42u_4(Q)aN}iCrp3Y)W;lJMYP;M( zJK*<8D5U#K`g4_Da$>~r2rd-CX)tPxWjBVL`)Qo=Uk-nJtlF`}^ga%b`gupN8S#S= zl=I5|eTRZ>e?hP$)gg9~)1SV5PwQk~zL9cl;DN;iXe2{YIio5vx0^BBina1lRy;Y5VQ)Xv04p2% zL_T|5C}2SWp9|(@Y4pULrZ*sqEOCwg_7}9O>XOh%E!9~H#}=g$0nq1f{eRTGTa08` zx*nwNK9+dnfn(%@Fxm`fCL%nURT-I8d8u&=>N3^c=X6z!=%cFcE&f! zkMW;U@bisjUEh@X3afe9+hC9g5wriCE=k2V!Am?gqDg@abJ~Y6C7&;ES?FntDqr?0 zrF4ayFK=7E$sX9bpsIt16sr(#Y(v*`M%zL2Ae(izq!4-af`nO}#>y`gg~t^1HXPV{ z90&>Ez#H*k)c7*-3ZK9TvN=^x;m-dz8&U5m2`}N>I}cwRcT^9Ey})XYhIAEF!tEqZ zl{_ezUt5pMxZWk(lSF6Bx>r<(g)I4EWhqXHv;^lARY2jaE>o)bgh?q@>3p7}A3^1O zLakM1WPmV8KUo*+edtwsnM+C!iKew5f$n-7EQx&$i6>V&@BCs1uk| z_&70FkM8NY@ievQhCMbE`oxb98ND_uuIMiLwT%7;H-GhmI%}zmXgbhkAAtL|*i9E$ zULPq^ci+VsC;WW?8ZOgBZS;Pj&2Bmc*AMKEL|q7`^z;H@Z*Ug1wat(&M-kD~w7Ral z(S|cAcB^}ujfbPfc5e3c4OM%>li z0iG^0(?2+fQPXQ`IJ=V3+7L8hw;+e1qkq*xMem5dE!VuyL*KwW|8o%`R9|3ou+Q-r z?PQYg6pF(BG~|%S>DyIp){rOiMo$;FP{o`NmWPZl%K844YHOLZHy-l8%k;DqR7CjP zT}W~UhsZVFdO1ptkMEuS(3TRU3GBLHDFNG10Ndu%Mf76nqP=WoENhpn<7;HKRNNBHyzsYgu?;O@Xxu4W3iWI<}-6dC_%yQcP zFwJ&g@JwK!qgPoZ-xj>L)yHoh&&^@LJR2dKRn^x9tY=Twt>yqAzFGS-8-jZ{z!^Z+ z48uqJ(DKo?mN>N6N*D%jmto#u6%5)%Walw>4orrvs;dJpC}YmK=6>IaLcBpWOB2&3 z+w>x{?u}6H>YRNyx1*u0eI29vc5JlCp_%%_2qkU9$o-AlWyfu76V+gN)ri7w6cN10 zk>{lZqaLO&&Aa(J7tFnEsvKCT4PS0_O=6R=q6=C;MgRtw;F`I;Oh zvu~jS@DK~r5CjRY-`1Y~Xtuk=HC-s1r|>0!YcQKFrA}$oZ*&CLZDv`aUQnNPhGb1P z5H6F14@2Do1{Pp9OI^S>gNI0&%k^#xOK&;gs7}7THU)bEmW321i+ zJhbm}W{4;zO(Lp`i)3N8#l>}z>?Pl(8#c?Ox`IMcw41x!udsJIM%zV;$RB$&EhsDp_OchM6>mm@nxgHr7}e6I36?B-3kKRK-rh~UL!^6V>}12x`UH9@YS5r=`_4r;3;1#VR=@yWtbPFX(C*e)V24^@MUVdHW_~T z^u{fgrb79R0nFBxOT>;(Tmd7e#@@!44Om0)oT zuGHwM3)66siHwZi8wsdA2JjHk9R}P`r&BTQY$Bdg1(RJ?DMrr|UWT!G;Q)H*~|}1_Sse zDR=8iAmU|uHTX&L=~pj4Pcl~79{ea>ZGJM)b=w1I&ZSQC^}3>K#)r~UUNQL}{J;dO z8E?t^l(`P=fq p*N67qzJK&Ek;j=-i{$X( zL(6iF$tD_ymv%DqBp6t*eqdK4l7s!hNF{8@kHCC;>E)j=Clwr3iDqy#m6uy2fcI-5 zP0to`ke3vm!k-LW#i&jr&aK!?t30}*%(BZW+iV4|cq@f;^uH-C>(gd=2}*0{V8A1{ zc0@$-lEyD`>HeGgq$K>$!18K^Hr_y~=?Ev(`w}`gnTei)=dk5eh~`d)M|V~{S4!tK zrP>JlmXgQ|2f5prNK6w0SEP376i0r{ayNfV)0D_)BT!s(f!m0?Vss%!XW|3ZLU@rs z@Fv{aVRD{L${hx0l*cyTVF(HViXE(yhKCh3D(!FD5J-^(!wODWG}yR-VO21_30{%S zY^cqz zmi3+t>+S6!w!j*Qb-WL;FEC{hZjHEJQWIb_GJPn%g`tNDo=E63ZcYT4 z^m(!ZZ5i5=?#q;ql0Su&w-M$ek5Y&Ca9FJ7a|)YPu@}npYH7VXxwSY=xgyJR1?y&M z+$6XpgvCwa-({N6WnO5Kz?RxfwWs3I!GSf~!O5sHyDPq86kwu1C(cWTC3;C*g;5Lw zSa7r_Vkwxie{Dq=?z%Z;@!*I&la0#>r|!kSF{G%s`m1 z%CoYLjvt)9Jv=!&HYI`5A@)ULYh^mMEZB@jGp*kr-#c*@8Opsqgn9neF25Wl-xUR{ z>=d31mR{hX|15kWIYom9HYTPy4^H+UoE|5u6%Ga4N~kd`h`~*pVwr63!3ny}!3$T9 zW;i|_nOiX3N_W;ZxPN%>bpOFUJGIjiBV~A}GC`F9D{ws{#BomdZKfi)|HFG=efg`F z(I7O{jC{6pHO4}4>y+51aJ86$)y+wrr@S2XGrG!WTktwLO@fC1X1f?QP2c$7=-$KR z^yuD^HK|wtlyT1#riPyixOr}T#&xkx!^G$W5ARaYo?hwk;e&%@4gsy& zsvlyy=VZIEOxzuewYr+XyeMjTJ-R(ZR08y1Y`>s$0U<_&ySW?sshN1EqQp_IK6ib9 zGQ9@sh^_f?@w*U4)(~Y)P#i7W{g`*6wSzahT;n{k)(rH z#CRpu;&Bv{**WKHh~CE2d%Mh zw{qJ&`*}ItDra0&}!nAl34+}4ovw^=zh^7C59}Y2!<#_urG@%ydDc=<0(mx!1r5d3*DQ;|7`snV>vNcgA~5m(Rc8K<=o(I$wH-$66Iu z>gbW4n`20n5W^TijBPFCR3v>amjKT3+}+2QlEqw-!B_av{?pWwK;Dw6*&Q0H>x#h< zu_4UU`5LBbKbhm)f`vF}5khU8il{KE^Nso5UZ>|7ri2H@l0W$3+#K1T!y<>xa1mca5ZrYRJ?rDJ)C8dj910CU@E;TQ|sU||w%EKND z0xP00BuNe&@Gz;SsMffJ|G=ZpMiGZdy-569{#erK^zdvc@>AHPa36X76l^T_@mHAG z!jHci?QucS8eVWY0hnJF-*l=9U@{ZD!aCNjJfg0Jrm@9}+cKOR}?(Sx&wol#wlRisqCgZM}AC}F*($*fVvQh-e^^!t_i znJpa&UckP3mcJGy%P2O?7qNUd`O5bwT-jCZc=MLyBZ#m{{3`NDTBcr5ju(`f2~36t z3^(eRllN%UTISK2?q5w_TPl(2agUC|)^wW^^44`HcC+7BRd4KyP{WnZZTJ{)2^yLP zys!nM9`NM+(V)FLye10 zZ15n;LAxQC{2PosVgXDa5`(6)eeH_+-bW;z%__!*bBEo{u47Jj5QqIc%VYvC4PioS z=m9$!1|Ct5YiPcF!4Wjoukvey?q&^jhJA>u+BM!yfvSk+X^WwP4P05e4UP77h`t)m zH|G2?w~9b{?~Bl*b^3}cu%3_;9Qox)skE1bD%~FY*&MeV6mU}W>x3^!!j;X|BwRX6 zFPtgmK3Cb4$N3fb@3kkymB!7yjh}cJj!!Ip1Kyrz z&+fl?ai8?L%}Wkz{64Mr`&4ll#7QYiDz()8kiYVdGRz=mtHlVW%)am}LzL(iEM$V@ zcs1GD#g4EtS?I^}F4`%B2Yzg@yat&a920{=BMZU%&0!%#4O!hj}Fg{%oU;dxVU z_CMeMD%^XI_mB1ukRtAw$|v@cBg-3gKq=E05aeZl_(zkci|kskl%9SVM)Ew~w=Ouw zW(UuUK*(2lMLQ9tcB?#X5EEECR+(4y+gI+lpPAo6gYyj49>w0~DHx-C;s zYkWCVs;nq@!<-r2N&4YFJfE08x$fo=Jsk&i|Xf6BN47uxr2NnRbw@~rVb4Tbj1hx}m}w?ghf zPIU!#6nTkkkd94gs02 ziY{U=Mnk}?VkAV7X-!IejODxfYwTpyk9ATVff2*jYMLHeRyGwQtd*Fm!ue*_QIAm< zwQVz@3{I}n5(}kkh|O0qategsxDWw$7m|yKfY_wF8fbh-^+4m3K?~}!#>-w)>)~ls zGNW!HPgKn!Y+R~NSHV4n_5#0+7&rvoX7eV*8M!zBMuWiWG}uhd1&jg@igef3FSM(+ zwh_nHOgQ&54{gf^SFLG(`FVuADE+1RZ5wP6Q6V%n7EO0!zr5YuxSuuOjl1T3-i=3T z>q&kwRc$O87}DIAlRmavPdX}OjSHn25wMpe5NB^7NST!Dh` z4I`G>mq3_rEm<#cMQiD3>GyF*r|;#C4osnD^BvjSIQu?sd@ZD_~3iE zkMTkO$APbC**4gQ*UH|&`1`nlanBn#q8s?tdFyPSyTKlQAA>#obua$$(f4s1N4L6- zTP_zf{+q2()9U!Yh6P#n=Z=7`Wrl~vB1iZJF}K&7YMZ~smcI;1b5$~7pf4WSX{ob@ z2f2541$O7>`CE6wZ5KwKz=&b5^A*XXat^9>Ao}8W9Eg%j5aTn2Q*FDuPP>QUE`2|< z;RdlS-eS@Q1?9Vkp)Y>Nfhg4oTz7w(bKi=4w&v0F;GO+hmS0??yK0%|^RyQWEtknF zb(>MEOrlput@sMOp`q>sLU%h+U}8eH<|d4psj|#;`%5g1Bm-VDjlG3sZ5@(m8b&Qo z-8I4;(<_TY^!INejMiIyIK2v0(A0~_K-=rdxP zXFGfYlKV+|j!_8dD^DhaP^ZI*9kULC^NkI|Y+y0C z*>zdIRr9up_riR8@_micCe|`M)ayYz;fjL(IjR(shHhuYuCsK&t0%XVuJde}CW~~v z-Axz8B~f))r4i28(01-=XBgre3#_S;D%o4})bV^y0rt9Q**49QJ$b?EC{?!IpIq<5 z|A@5{WiODbgF%^X2d-Fz)i@EA;8iwYJ?}}fN7W4v@d7$3j=jWLu<*2Ui`8mrFC0BW zmY-{~6bFHf&1=~KE%T|(iVkrny)R2~R7>(PJ!7z1SW0X%gI6kD*xhw6Nnv8vVW91k z7=QLv!O=BiAHoi^TcWT}UN7(!@fMRr`&dPLgu>+ofO{yg zslZ+cyC`fc%w0l!h!zFF%O#*ea#&8nAvV}fR{ivMap(J2Kho)meu`Ka{n^HJ9)Yqj{yk215z`a&c!tWR{Mjd03eEc|KnREaIkM%dkcmf=i#U zTcuX&Vp}@++#P$SF_hVas-*l;Aem5YAm-9OV=&h?jKY3x$ARW+)jb(Y%jY>hkCEo$sS9#e z0yU>!F%1y^PKH8knju4v5%ZL1q8Eb8$xf)ux`mkBnrdJw>=x%#n(YIiF#QWF>9MzK z3@#Vv1D0Re;lHFH?Ppkw{3)*K=Ow3a$pHR(iS+rw=Qy-Vk;H2Nr>2yw*peOK!cTWt zGQ0HkuxjRK;O)V!%`AfR?99LmvvQLR!zV=#>Zh)ny~F|tD!3qdZuOXkJZd^(M&3gk z3f4uw@}6PC8;LwlSMX$!#_5ghk}2LoZF~tuoj(;mUg9Sf5D4j&A*tH;HOPQTSidGZ zsG}{)&ElFFS-}2ldBxBXMXA=Vy2@{EWo6EH z?DZGP(fIgyf6RhZ`$vYPGWwcIE-n3MZz&~D@XmMdp3X6!$Vxb@ zd}b5ogkG8F^;mqbV4PJ4*9okx|D}_WzL9<26?mN?Qql6wpIN^7NNHEdDc>pPq7*=o zB|Asz?`d&*6+iALdX%Um3zr&980T`NdXgp1ef69(F8sP4+$<$SQ5+C1*Um&vBUNC2fNd= zlXLj*G__*gipvj+wT^!YCNH1H6?hSH2HQ&*pl0i`jyrkL48JbZ-`YyBCD})cVAtHg ze(YGb)5e;cJf|1*QEgM|obB;1ysr{49vkkJD2)DdjVO z;_M_9=xw(9iA6M~m-8MovbH8O4P>u=tC#aZt*QtX;NSb8Q&ou^dXd;^(P`^Nlj5j7 z3Rc~-7Oqd7=T3=`I%NqPG4i8e=RRY~NNE8@v61RNy34OEE)pqMYY+`9O~3$HYm$U< z^`}(y^x7|WdX5YfZ_?{EJg3jrxLc)zQH;^W2kl4MU5YwK&;mW_Vnx0PMaQyri9epf z<9^X7DcK&l^W<#DXXsMbIK~y-%C%{6e0FrWe`GN2qSy>0kCThgSG|SpJ-f|O!iFhD z>F<|@5f+~*|1oG*5wLtwF=bM3n4z|SVdXXX6T6OD;kunS8x2AkiX(|S`JpHcYqs32 z@DHpo8tgg#W)fZSA0}CkT$^MnlbD4wBXANX{$T|!uVF#`*#H9cn$=EZM63)Jz7&*g z-w%|M5wwKqod>r_>UjRIvGB9=G@)#`!E}Tf@Yi%+sHk_44eCr0b8h{dtJR3FZy)VW zHtWss1)LHss`C&a-U87%Q_6zbl5W`_(=9EUQ1n%0>Kx}We=ub6r{j#!Q=&hxJth*jMAPh@@}*1{C!{7bEQtM9E@K}TW8&QdUzQ48<@Yy zb+ZTxyG;q@PS8HgEy?cP7S`jm`obf%=_IXp-s^0gltpo|yj~}JV1`{K*M)_0xGc4t zOug5#-7O8s|dQEQr9Y2BaN>Q5zb0Z0>9{GgRnuhIZTTY=t ztTvA5b^~h7AE4nVB!6xl*PZ_c%~=hnq98bi=Op}JUo~~SR(m!e4t}r;=>#(a4>&zw za|91-If7^L`~c6L%MX}45)W2APiW^SE{-J!sNLgg3b-zCHMT;z<3pv8>n90bl}Kw& zf1(Rf&O#CGP5{&oZvM9@t<`7ZUIZJaqiRwZs7|gcDbhYWjL#J*PNv$q=kDF9N)1hi_rRbVQT320>CfE zZXfJvn0bUF%PzYJuWC%i@Vdp$kCGN_yX^ta+?bItqxgzB_jQ=L|=wpQAF zldmRl{-X;ca*$tavKnuZJ<4@)DQ{4rpVXAdGssV_B;}HV%J6U2hbNf4xY!()9eix~ zT$p^E3J*TEv9%rC(z+Be7A;GBOBe_~iD^Y_sWNT`Y^a)2`c9ljP{$m|{~4vK}VIa%)pzSA?)5 zWs+pLn&e0bTbaanfi)phGLX4cjd=11mW2jmsZIquhDKP}Je{D924$`JEgZgpPwrO= zD2A=V6k&92HL)XkMWQt%cwg_I4I;3@mni7C#KN^T*O*mpL%Bvf+8fIgGZMJjgo`93 zvpQr&mlrY#DVme|dlyz)i*_RG$#w$dlGm85FutWpXQneAKT`=)T$Q!M;9s0o<9;it z>oiqL*k>gvLWCijA`F5@AoVO;d;Fz1()P_zYp5`Hf)cbyy^X-m7dn?aSQl`bgYiaf z5oLt6XA?mvzTuAxtVJ3AY~=RlhgSolnb|*lcxfwwsTYO~Fkn?rxT1EI3vu+|ZX?>m z{RGb4V#|i8CzQZ6gE>yR;jusx?%jm54LpfgBvFXO7B~Ov9oSu!rUu)f)^F*}^7{Q# zyEYjn9SpCU*ELqw(@5(Yvqkp;_EzC}4ftETXj>^#VbdpO<}5-uoAtIue=l8=WZ~(a zj{n9uTQNtBDmLpbF(f@CIagGB{=?f<$t4qNpfg{2E&g`abIkUb8#|V!n&v3z@fPTZX2N;>%0z2e5rvHg1NMkeXVt6{ z=nfM+dz{_jH1g0BG9PJNrw3xJBP!@^q|#8UK&3J-I`wniA5hUW8Khect}QCD^EKut zffT!{g5Bj6ao9@l>q*M;2DKIBBpysRD&0sV~omI}d(24UHjk34T&-+$n(-uVm@oI`d z7TAT7M@e;YUFNHSSrf}*tqA=bN?PFX*;>lL@E>7$J-@2dM&-SzE37@B-%6FJIp8(s5C-nkax=#pfu<(KTPK#W#Rs1Zd22=e$W-0gQYvm> z_Gqt`%d4c&YGH(i!CZ_;Le3Oaf0a#l6P$S@g^-f!LucD$OA0Ow)y}SuSH6H8i)srd zOF{H5^slO>dRJo&oaA7PmYfZJ*uAgU_HwHzP?T^+7Ri_Ch6pIYp4qn7#*tS+g z9JfWmYXXFr3~^1!Of;HI;wCIXsXr5WxX>nV42a0Yfy}{H5kH;M|I|A_IA^1>`6-r1 zRPHXF3Mr!04hGM@cEi5#Ci?gL=qWQswnAzI!D2&BmR^oC`OZ@3kyCvga|hh z5n{s&8A-z;kvU1cC*Kw>P8!@Uyf{DLlwF=BZc&F4FOrqQi{zDg{y2F`1u8Bx(X_~Y z!2NhHIT{%}Dei8RKg6V*bj5!e84aILvJt?7g3=yUVcW~=W#{twXtr{Y^TJGK;ks%fXNuPvQ<(y4jb6##OqR)l|A~t!FY_ha$5~}^SiA` zPs8nz_=Scww8=^0m}H$!x`#Lkx&P&+m8NmXi=o*tY*!0}$6plg`n|+{6f4xxaFAOe zJ_6)wh;_jXsfegp$`7{yd`Jo>WXlL^%H1$1585#(y`U#*=Q}tha!fQ7m)9$>{wfn* z;3r1wBq17{^9_zt3Ottb$4-E^p4Z90b z5y`DO{?^*8n5JNSB^15P!1|w*>38`uLbcOKHel5*9AAiD0ckm>)slLvpb8<9!D~yq z5iPGrv~L&)q)^kSmQ#gX)>C*JOM9-l$|A>OW$K$%nY}H*3P4H~tO&5(Q!wgbZjolW6Q~I{ zj%~yrr(t9!f5Qr=*q@Au+n({a7=+z7K3I$6%O+AGbdN=noYK>vh= z&1#>aLi*&hW~SQOz`(@v3A}k1tnm)U1B<{2bG2%pwg;tWuo7TXqdvleahg`?1mjcb z9t^51rqd!qP8K00V?`Xn`6Hf65uY>^axXAt(~8N8Z>lwvj-qj)f%&ci){($mS1BBz z;n}V?R4)S3k1I^!YVZews^Qa0tsU#LsWTo{yeV^-AeFoMaRy7fkSJel(vFFEY=}*q za3JLaa%~lBpNpqB9&Abvu>>>Y@r=rAI<l#b7YAv&|kQ1Kq&D*)LV{dXpki z6JK#|&fFBfU(d2z-ZuY;ZrC(Snx{*wapv10?-$lQm-_d<3rzNav11^gQgmtCV#q8H z{epkHs&og^;0vmuM^Q`cOr>Q^PZH*V(`%Pamc{Mv-~FyW1ttnX<-VAi`XTSXo!n-b zF5YMl2;K|uH+=1i061|TA(r5V6B!m#QaPya0MZi2i(qwREr{}C$l2j_eBK94>{ZL|74orD0+c)yD$XlN9*aG z8X`UNC>cJL6a8s1%SN{75WnP|GpwN?!U6RgzKVE7_F;ix+64((jG>@i0Ko*b-pfBk zcOuh%UgXQj)4-2^qn|-I?%()P%fy1g$$NG%;q>`$^o-X={+mB;Q@DSQyE^7FpeM@V z%jftvKLh^0SSxymR#qbMm~+B_&;e-L{!Bj9aicKMAL~Hn_-_7lL7vodn_hyYQ%}iAE#YZGoWr4S9?%0U7?z zx*UUpQ|FlpUf|T?1)_N!Gb;C-RXuN*!{OXb=VX)TJSobW`oknI9oDQVsphW)6TQ*2 z{`I05NHD3p=e*Rs? z6319697*3fKKJz;iF^hPoK^bizAmQIOfhN1r93VWv56tbi!9p^+H*!APU6s*F+`Qn zpt1%;KArD;V(xqj{;#~QXpVAyf9(l@)3Pg7$}X6{0NRjpNG8nN9h@cmZjF<*OCMsD z3qM=q$!%cKA$})nnj2~LD8Gnr$i_I1&Cm07Jv&L)V{YAR1?gP2dMxsR89|L0xe)?I zKV#b*L&vVg=K9?3(tbtEs(Dr6M&an{)0U-Lz4<#I^eqolMA)4LVq=eRZd`4{vapx6 zYOo$ON465|>D^i6VpU;E4?~Kgwy?$nJb`}Zx-ui+p6;mLa^NA4*UhimYSQ@Dly0e0 zUw4Ey#_c=S7W z3O3OSVC#7$bmb*zJ+Ndq(ZCqKk1SsIvGN&~( zoMgx@m86&RQNNqG`473)zfdnpwe<)z6oEucWW{AmxI zssJ}*J}2Glw}>!flqFTA;BWl8lsmx=Jfy+lnVK6F#%eH%MA!J;HBv zka_D!nVeq6&%-N};yhoaNCqQV3m0H3J3z8Y-Fpi4}JMwVR!c%wR*h`M&q27$2=Y>YNG zOjG=JKhSfBl%eM6)J`oPuW5W&3}{A*a-Od9?|8bRYfV^F+OZ1L1=;5{zQt96$s1*a zS^?MT|4c3qh*NZ-OPsOSP(E z;syexU{~pSHBp)0!;_Kr1s0t-C03dB4d8yujnGX=G-vh z09g^-eU?qr>wcWjlxCtMh!af7kaJAN#T~*wz+~cqEWx21{5k);-oWa8OWenbu$2Zt zE7aZvtPd&3(nID8iwP@e)K<*20V{8dQF(6NvHJ(RgCooq6OI*m?#)~bDlwiA&kn!N ziXCEXDA;6(6e`l{xK8xeK|6+n=b5uLShQ1#!LoE=`{p8ja~NgE$nDV6@-wl3qF^Z4U!^56+2NK% z@2XaQadw1%M#<%F>&%yEufdCxZ{o~8s7S^8h_N;-W%N~1UQ`ONFXfr$JP~il)aM4& zA>PQ~RaNKCCeN4#%nmDvD&bvh>#I^ttGm8y{lR9FaTv0WPz8^zSQT8UftO()=lR?m zMC|n9&AeG$Z!<+D!1g48ow}c{dvTQN|KKO%k4=kQkA@GM6_$2vpvY6P-Uih`H(j~lb!zWJ| z)3?Y;Z*;?j^U3hjC$C0biW9;Nn+%zp3_ExNCm}^|BsV*J@^~cHD&>2<1H5)JT77rQ zB{v*{XAg#_j3WFM?OFz68+-oH06Z96GbAXe;LMHgsBj}N1Zn_NVt%CrRvi@h;W*Kk z@RouRsa2+*cP(w}!;y6{!KH^@r-D!^rYzR*hMeno;w4&3D2g#bqNHVZjoGjY%XBJu zyy(MK@ZnxE*{YG<7Od?LmG7(5p-0{0jwukTj;1*vX2XJO#z;FX1)9>C}*u{UGpGMkofR)FF8Hz#qfuM@!7RaonWUu zwCWo3-Nkx8N06b)PT}9uiwqHixfnSuDPw=dyYC$fFgpgiUijS3QD)hfpMGxk;?zvJ zMELwlSehPP>Ym(3f?zBpj1(_A5I_l=6+KSouvd#`C=KmNJG54*r6m^sj=C}W7FDq3 z=&QdCGAVm61;5v6bpZzgrjC~>>hcWVeEKlDH{nkkQHhe7 zUN{e;R^~TNH%Mj&Cly>Z3fqk``l}_7q3e7l#P-&_F`ruMM*?Pe)*M}e6%>(QQej2& zPqBpHg0779%DN?m387r!pQRrG-&#ek}w?@r%Nc{p-#D6sfksY|`g z?Q(&Yz%UD|g5xNL?*ZGW)e)T#e;Aco%tV^qRAhp+y(~zL=WE}6i}-B%p@euB&qG|K zNEk*0y{^8ALENkqWcBTj$H{{SsB%wi4L85=^qpUKYCE?|I6sT1zz7e~GpY2}b-^|P zXyrQ0Df6;1@7JZujG+NOLe}?5S=WdxU)`reCl=hb0xV_&33Qs3OMz0&{WO#np4}Xm z(Syu6rj44;cTjEa+ozRp=9Si~-&URGz8xFD&@KAyq0am>mtkt@+9)(PZsJ&c66)nN z3N{bk?0;UD*4?Md$D0SWdRU^RD@s-OsyBc;RlpKs5b8f+@oT-nwZ>@QS>b9Tj9$5q z^&4Kb_zba9)p$AT&y@#iyCyAT1{GWXz)(6{iHty2+hpB;Y8?uxE)C%^n?;G|fiMVq zyJA@ON&B>v-*TwR{3R=U&)j>n{mGk%y$!PunOeLpA+@Rs?V$h&n@7~bh^XS3cuxesWIb;D=@Sf1AuI?#(j-Fr&mS-z-@8n+1u+J4bq-O#h9?} z?Lg8l$e+2P8BAFQu%%VFnwI~4bR95uYnOdX7b!6WN#o8qv>zL)!y#D=@GBksgJ#_| z#zgYNiiSMPnm7%P#Aa75_BZf0*`nqtzqVScz<#K2%B2??njWHawgwwy#Kwg`3p9N? zNr8q6VkaMcREG??Bb;SJY*Igz35g!%Oy0UF^S7;@r4!(Y2hBeLYX}w|Q%b*r)@;Ic z>0ae1HI!4^sIuvfE&Zi_{k`sdO+;Y@b;b~pU+z}RbcagEGPW1_MVfp{HA@dJF2Hy* zA*u7ULd_nmf9n{UJ+;VEcRyv%@V=&#d`U7zHT4p2Ty$@ky5|J6RxSA#`jOjcZ_FCAdx7xWvurB1 z>wH<iETHu9W4-th5k@_&KY*LoLY@p-_c!9=eXGk(|X84y(2yL^$9PVy1a(Hz4 zO4f=ijfkSfDmXKJ#F)*oL#xbZmg!d9`Z-R9Frtw|cfcp6R)P-d1Jy+34citoyo?Ku zVdO*IMOOVJ$p5bkRnRcqZK4x_pX>6r_dXZ4_a65X45s~#IHMoCC;cQ8iL-9`J>J{a z)tWSvo-~Z1`R;E13ooDf)JNLM|N4bMNN9$e)xp6T7+B3QRjN3H89O*Qs7A5+47tD~ z?ZpTr@^3adl=gdRSM25#8j5wn-y}niN6#h_b|n|CUu_o+RUR@#@)(<&;^%UXAr3l5 zt!TC+CEa)|>juJKu24U&7L}Hg$9u^O0o4RrKMbc_rwEn&ce^pfRveVFq*1NXcf$-n z-oX!3I+DuWl1eF=u`5J?_QuZo!oPyd-qQ&*_)yx}Q&l$#aVS7rOg-CWdwB0*GCVmM zA*I2n!)k9by3OuO)@Z4AEk<~7b$ z*oI>6swIOrcvg4q6(~Q~!L4?mzPS>kmOcpLRELKw1Uf!@z=V%~gSOUHK1=2~oE=y_ znw-}X2B`%cySZ>N;urAiPwcOs8#27l={Ro7XrWlNk4WRpy|CJK<+Uc)S<}zqD}rz% zxK!*5%(-o{*{G#KmaT3bQAfTEP51T&GAe1Lr%i@_&;VGr$O-Gt30c^%{HNJ0h+%6! zlz+a}xzPl!epAv+5qat za}DY!Yf^IKqq4|nRomU|8tCLdB-QV>`Zd^mpQu6HorfM zS6{M7&VWy6BofTZ{oTfFqfG{c6os-wNk1aU^nSA27)MJ9Pq6F6G=BxUfCLC(^$prJ z35jGKuXy&|)-!S*G0Jd!^B;V~!rHg+vcx9$3Zcc*?!9;V@h+xp`p&DH zWKBH9gTn)XNn@v4!Q0k`V)KWCTNbQ!vmi(t3yh%%Bmgc4Vq;`=`z&m^FeqvPMKeL8B zbi+V^$hm2(y<|wVqh7~cg^Q*K-ziPfBMw+_#V>vtBNz4%Rl*}2SGRWKvHHWes-%;Z zi?^YkX(RnftVk&gKeZD#hvzwI9a~+Oo7W$Sdc{02b6T-(wkXcIVp7d z(%wb^^D@1jF0)oT{JQM-U^*Qn!|85<>1_;XGh<3q`n7f;{C3)$RBlyg?!<`Mq9J`E zBYB^TV@U_`Ixl|(7&@Kjv{QR*`9Wij{~&CyC}$MvQwe*Nycig|GHd)ETeWCoY`J&? z1yT7NqhjvnvZjCg!zMs6_gqxyGCAl| zzBM6N#V+WrNm-n1PtKf)EG1lf^fdkIbCa^Nsj0Gn_J@M1yhIX6oFP*702|k&h4JBF za>wmu^apNN?l`7-#x0O8CwYMi+KRlty_k-^ex1zVy(UJ2-_@~)RZf7ard<_>QHhKc zspIkGqxOQkPq>I)Ua7Bi;+SO;WRo(d!BtMw=8BhaPem;z*AXDz}G7f@PAs{<0k zqqB_j#%fMHTSZC)A4%olJ(PDWvl#}tL>>}9Z|B06 z`cuP7>`jHMdiAUR#qcLH#o7JIFkqr~LMPpI#GO=Fi*&WYNa~^if~veN#gyL+oWTdl zhEY=*8{YM&s#o~pXcVEDR$HP8N0|*#TAG*e3XME)Lm#8jR&-vAlExb(|C(bkr?W)1JR&PBW5K&Emw>9*^{c1l(5mUxEYO z`~?c>pxeR_Kg#-(7ZX<0cm^q<>SBx@t0rN=naP139`6YxwdN%CLiRa7NkjV-3{NFJ z{lsX*+c)t^adRw1yYK8MQVmCpWW5|6>x?)BFMGHGtYD=AG{217P!vFeH~C3XAb-qf zUP_TA@2Q-M*>NL>a)Yg<4-e1W*=-kvMKxskr6~}=uG)fiiVdrwprK6EVS{I4F;xX% zuJg8D-~gTPs7T65iP_Kaq07Im!(jz9m#DId6-`(*sf4!NFC-G6;~<=e4+#U1Mh^@( z-o4LB_Z%@j#9M8WsiwCrmYVBWNc|h~I1u|v%cF5x233v4f1S^$BC5HRoiQ)4r|W>^DXH`Bko#T+EQ2=XiiWS&jL3B z`0+rP46l|geaN?}4~N+@ec)G9qEhvQC#bWu#L(n9GbIkZkCCd01qJ3sF<)MLxJq`p zoAN$%%|2gao_1KGskV`h+OGfZ!+!a@Zf&j}8NAmzyyU)bOE=k&h?i$F$Ui?jx%>W)=+67+ztB9qUH0pi;j{*GrBD2f_YhCJ@aBL2AS_k1 z4x{h4y?p+8Q|)4_({|pcQ17`e)FTp2Tb8G~Gn>UHCFT>JzZTwG@E@o(5$tUuc8Z)JSwyv?%POEovFQ zx&Jx5*K~bQtP^$ScQ6RGa~VUn8Wou_Q&8U)%Zwx!Q1v_#Prs zf;{qa>J3FJT09B0hfRe_SMPG68y zni}1qw8dQ{J%r^EJqlPb61>m3?pi`&Ow^%VEA}VogWJ{=qC%QhL}SxS=Gj~Yi_}nY40h1Z;d6iQ9G6U_TmYeB3$lC@|dvC z1Vfu-%R(uNz{azeym|TLaYtI}Je@KQ%blsz9O)}3$d_fADEUN&*E5}Pt$&<1ihfR{ zQMlx51k*Y?R5cyN-bEUHL5*u~_J0xc;2OYGbbum-sRPA^n2U8xp`EP@ zOyyAhzFZc$Q)&ivii6n>CxkCyCF3$(v*hDr)63IhEm(`L5ihgzZEHt(!Mk^3MF{LK z+Jq+UY`M#IOU@8$nUq(h4 zYoj)#u$}1G!j`U+NwMD1LG=XxVQ$Q*gb~f6&^{2di(+he4p1KiuZy{lOE$>68qx)jqB*Ddg41u>XJNUIxCWgv3lZL z3+A?$6ZfPca!R$XXqV5tbUo-*aU5*=t-`mR6~|Sy)p9U^e_x#kL`nY5FO7)CgJ%?hF^n~fU;M<5)# zzbE!Hvp#%Bo*Q?`gNA;&{oQ(=&1viZ5~~~X?{E#^`7cp+S%v&VqxlMJqDVf+L(bd- z)7n`Y}E!3__tWbR;;rTCcW)iAg}PRaTyzlezq9> zz?(s9Cve`(AmNw<+mhXm4o#TAXs-#wh@EaNcN4P`k>8N4AGhsAm8OXW>jjPn z5pmhgnVUgmvN1=kdB~`0d1A?@_#j0Z*4oC8C5uJdePa+L!MUm7I?+VIj2qNrEv_f)BwHgVS-z}^I-a?hp-Ir zjwicvzQED_%>BtagV%f99MS3B{NO{45%|hPI5kQ@g~9uv8k^$sbzUG-N*zR=UR!pn zqXQ}=7~ckSZ6fM1Jb^i_6`@K$!2vI*^dZ9p&eZJ zPtz(18n(FbWNb%xP@~Wc#$~I(8@QcK&YR)PXby zuOQmOR~U z?8#)`7t?{TB^zLG1Ag)B;px4TWO$+&3HT#3mi3HVlJYOp`qk82F~qM`<+vM~BCNd2 z$Q~Rd!?7M0d=QRmjPKuH?^$0hPs~+Vx2X|XKGTLO>*~%pjoLc-jTLbU;EMLzQPW&C zR8LoTMt1y0%~ed>sV5-B&QNz1G#fM?j;NcquN4#0Df0B}S;DsI&*A@^wN)Y94o`io zDoxI_Nx4H*pTfCnpgUP{ZQXwQ>7y4flE*LZzk1>Nc=+hR7<0lNdzbfEh0|~Ky56Z! z-wD;33sYqM^_gg91q)Dn3oT_+TH}!VfvnUW-o4+98;`wEjZmvxfcWZ` z?aTDC=Zn;aa|xu<92r&wJQaIbsY#S;wZr4LDI#!W zNj_1MPE;q^5_|?`2MeDpi7m6mzK^B%0jv~W<`ZK1r9oK=uQ`|>Mzbv_ne)DD&X-51 z0sMM+*QBbKzFl)$QNC%-;SYlm|5)`mYU@HG$W2>ozMfKe10OZ+n=p&8z3t;>YR)c? znONQvT#xt&_Sl!&GwZGva{DAJ=4HBBP%PQL6+!2Hto|Lp|K=xc33<6ArUZ*ZgbCxi z6h~+czuiylN4m5}agNHnnwMbJvZ?ONzC;G#U2H}|&X12Fu68;8BAFB{0JPmA=#I;# zqiNyKe)`O^omRVaxy^;`LgK`JFrF$Hk-a+Ka@ua^1o2Fu;+y0m$Ka&WHx(NrcNqtd z=LlBTfIUXXv=LOspA!grc*QjZ6q#u~Q} zrVB(KW&)Y22BThO93dh~mCf6F>1YfmdEi8iBp>M2_$W;RPlq5V&DTuXF#&8FsQ=N5 zLob8J$&Zp3gORYi2Lz5qNSR0)Ebz=CKV3UFsXhJX=#X(@*!bHNVVKYx%mc z3y+o=6%xddmj)vd?baY^?$oP=;V3G}&K_5|ryzLdj-9IC->Tnh_}x4ybIh1^_dG#6 zoqu8mG30F9;X@9ckGxUQ#CH#ZJ-yD}>9W}KW#6yg^VPU*|0SjZaWPr#*-6z++bP%q zQ`EPduzPazZ+y_M0qq!uFqLK0>(cogwsW+k(U^nQS;mg|Z>rsj1T4X^t43`he}VwY_-{jfTnBM=TwMxW}?lA@j{>!y5eCIO^T4%6#ME- zIjPwv=}Xfprk8?7+uF3(!!x-Q^}8I7(^TPrsBp(OG_GKFw@Xngbid$x(gaO(!rOv= zM^NhgWadzz#p97o*)=rYOAbedoy7D-Dgm^)qP;XuKDMwVGZxuSWuVd0cMp7NZ>j!z zQFTlfu*Pe;c#m+qZMvkT#;}5#%E@(X%x>c06i`>|^n$%FA}c^=3#p}G_Qm{EQ;3fb zwT!2!k&;cv^>yfV69}!H#4w6x)w5H7{N~di~mkM)tV&R#j0wHZ0$k zpq|rBA-TCtG?hqvUxa(GC*V=5nQ4W@zgPJi-d?G4|<)(yw)UXqVz9{4ROX9X`y`iGBK3`90y#W;x+oPJk9mhAPgqv$xN@dmI!G8e++CgI?QVZKSUhg zhU=rm{=mV2wG5V}cK|mTp%zPICPD_Ea7&jd)~;`5|3TugCJHekyN(fhv9Cp64wkA1Qa)uyhjRh*R6>lNfxDi^iK zRK_p~6Fq%ele9arzF9V3>CGg1j-yIXv`U5VTmUptI4vn(WwL zd#r@*ptKqT;R3@Xjy}R7-jOz&Dj7&wWk3ZCtOzn#Ko?kJbD@4%axH z0p=!A(JG7maNx@E8Tw!J!%;h#Xbg4VjJR*&F_LZYUDxGtl5Wa;iIIvUU*s#?R)l~i z1Y#Rji*&M#mI4Gc(-Btb+G4GNwC#%ZEKc8jc^pP6B(93zKk`-;xh-xjvwm=!@SYBW zu*BZSMquv>|Ly7Mxkdj;;BY)~8QP~9wt9Z=>AhqKZ@?%)ZVND!>`cJN>0lHhk*MWC zrgN z=HC@?7QLoY=-0b-@(c#L6!`=b*MKgV?^{e`a{4InjPQq4$t6NG7%Io`_Kh>s}i;h2X0Lz3Gp!6Ivk$4nA}9 zI}{NmdM~>v5+T~PiNb^jYFKHcg24j$<6m$rMHOq}{L>XV-sUEwb*u7q#Gr-S>WMoe zBqV&ogBqA3a_S*s5%ADGoQr)ddtnYhOosCq3mn_!imxu9qtoxL?o{tzrM2TO9woncbN}-{OnyO!H(mIL@UH!W4tM#}l~tY` zp=fO!`e+o zZLqx5d339M28YmcCM?ERb|Yb!x>p&3*XEBOUAanpx5F|HCt ziLk~z5?_tD7BDpwp1v@=ui(0ltJJo&pz9{9U%@_`H6J8Hb@3>qh;H2&{~oQ2bhg3} z$+qMGXIK(zR|!}h{*~2kVhd&EIe&t%M!1_V^8yb4h@35O5>~r_|4&`RAa5&oFRNbt zvYiA#wKSy6Isa&M>;A^K?hni~Vi=^~4&fB9Ka$AR@NlM*kw~jR{(`+HLKlV8>_9?l zsQ9X;&Esuz(c+y9`OEw2iQfDVybTsC?^osy)1`2l*(R?LX;OFW@B*q@B9^S+eU(Oa zXg1zbsz94DvjdExWt}CEKDA~PH>`u`6a-fxbES5K-B{?w8Mtw|mL&i7w3V6>#n@lBbv8i2Nw|1mlY@a8Q;j z*=idgR=gf8((o+vpd7o^#E?&fk%$@*N1cJ=@PGt8Y*v6ondF6?`2b~y@NPjTo6$-1 z*0l#K`XAH|_PS(&ykCmZ;EVM(g;Tckl!y0otTw$@;nt&HWOHG#nql`l?%9OBFlge3 zn0#0>#JJ)D(}nsH%)QhCQS0x5NGE^Rw}r+sNcsJcZs^BmTtAlPN9_&Y z{D@1`JmFcB*4Zo&Ef(Y}c_&8JKCLy2sU0r@WI{|*r6+B9Tuxv$q6Rna`^57LMlc+q zgP!UKhVsqejGR7M8@7lYehha7W#sQs?Zbl&aoVd{qBf{w$Jn`F;O&P009~Q}xGvlB zpweOY&LVVtpKp1`?@{$aRBU6TYiD8*t~}C+XVzcZv<%&^IiP(H5$6nv*bxa;Om{0= z5vr&-;d}DS|IbJ!%axJSa?4#JDa>F!z(i6cKsh&JWVcgY?tCO3V2(O5A&xyPo66=z zNpz5A4Z<>$ry@%RYxvWVQy;e9D?u^7rj3bgIDqZP<`=eup3GySXl4Us@I*MaK5{U- zk3I1+LDPL)(>uF8dzi->)~0aW6D3FSPh0x#vrP>g@6`Qdy4ws!p-N}%$*$71w;47I z1(LftUz_J_1s>qxIL0bgr*z>}&NJTp6GD4G%ibnK+(t(=Ioq`-JIuxb{~&zE2KOR_ zujb5;(E%Z(q*y`g=Vg}7z}_69vRS7UgM_hF3e5+ajphAFb%Z709V8TWuEe2;OaaxUaBt6=6`wGQ+?(!!p zY`EHSS^g%^rnZNyTY!!?x60cTh0li~jZw(qC8vmCwN7CjbTL&TVRK$2Dg0L}fLyX5 zy%#77F70ZWmLd3PPJA`isJp7Gy&{KAKA*QWCYP8gkf+w6ccT!)jtZ0j|CDKADz3>^ zl@8H6n>JkH+4c2spxbM|&o-vCN_yGn& zm~NtpKm45TYng4e93S3q!(NC#vD+<}rJ`bB3B6PWLz&4s5s#E;1F+EFr~h?ZvDJj9 z@;XzPYi{tz$@tOu@ZQ<6l-|Qgym|?D8GbeBKz+vh;${t*TTZw28VSdEJ?FF9nv}(% zBTfHWAI)Bt+v%Cu#$2HUivwm(tN9}&)J4nfttPQ8vU|mRm1bp@T!HNa9)0) zRj$g{sGTNT+~lggBVR#ktdyl2QY{6&)d{j~4^Z+nyxmsQVnHW=Z6!*J9XhDhbhk9ivBuuCTBU6o<>823 zNU*hnLQKRj(`jb*Ju2_ZS6Q4Qz-|*#XuVy)?28=eTNk=Tr~RnE`&@%<;b1pbQfdAoDgc8ZB8IL?zV*0Mjd zq3?ySpJdB9)((C`VeD6B{`Qt+Q`9iUwiy7w&q2fxQ+kp-M(lf!#zXtt^IMQ=FDJ{C zB>O%RUZm4So{{j2zAzb{r_~lAT)zVUF+abiF<=oy zXfn{28xoK2Dbt86O*l=doJR8!W=ih6WOGv(7hsV+?c*4^6fu#I4M_R8;c z^%A9GBy=>P^+>@Ye3v;ZgYC2*T3=m*%L=30$HhPE@%%Y7&MES(%N7T?Q&u)ITF$L5<}sH);vnu$-reO0zJ@avWaqnuOWfgOxK!7r#2%(rh_w^Wn0DP5k_vl8T@?UR@3p|;1K&d=ARwPkD4rlplwCRQyb8g z9S{?`G!}l4wDxd0sdS>ZxT>RIr?MppK+_i_Ba4esCQh2nviNu!WoTT_(0<;7=R<4l z&%GOjEs9;c4dSfJ7I}Ak83x-G#OZdZvT2D~98sb48)X_xLlg6%N7Vip|qqlKZyC#3uO-s^kzx*BdT z2n0|g(44`_iWXXvp-q=t$eB^+c^OieNA=6~X7uiwwe5rye0%S}NAW(SXHC2BMRzvd zm?t{>@}1>oU%sQz>?@D#;C(5~)?4kCmOaPi|6a6Zb;eyg`v2rd@6J5qQOs!EnOEuC z#NIa4ct)~_kmJ=*<-tiR{1{BgV`VmbPljLOY=Luo8aGHmXv^h|uUj+iOuu(M!UWSt zpZa#3HJ(0oy(#3AGHe@&f!Oi%9qy0>T z%(h0haTW@}-6`tnTPQ&;SuWhShpA5}Z$qH+wQ0W%R2>|Koi@=r+nz7;x2EZr{HOhS z-7&Od|K^*_Q^GlTnAvK;Dw`8vCv`!_4cPt`4oTm(8d=E;^rk z2ihYUGDJW#I|Pc9!JsC8WP@5<&yb!d7|-;NVmuZ4MPO`KMLDU>(Cm+5M3Z#=Z9%Wq z_@kJvxmt>h_mAqFYn+1ShS=pthhvr%$(eDCas z^wRt{HHa<8-A#~O@7*EDJBSIvERvQq!hBqjZ6Qn?SimxfsTF+S#zM7H!pjePYVt)fW-$RTF)s$FiiAUsJ&&bJ-0c-U3qSD6WMy5lQ0czJ@UDu zNz2xkd0DJi5j>5#cBrlyxks_U;L;GLXjT-Z!C2z+lkm1SbvZl5+uu4X>x@iR_QeXm zthr#pvKcwz7=4M26$V6G8=aImPbaXOV0V~wPSP28-LMi@X*KidI%~Z@uL1DA94|qm zDSgKD>XzK}kp>vwJAKH-8kD)H@s*1- z0s`~#Qmgg*+@NI(M_!{L2}_|0fT?-wt~iG$f+LYe%_P2kTX>oWS0po4Wz!wK8u%-C z$EzSdEZvC&^1ZX8-uH2K^c#C0elB2@zRg#=l}QEAXq>le9=FP@sz^)^J?5Lg@8m#- zV-k8{0{)kMa%HA?%9x#OyFn9PD#>L4hR7TIPCW?eWwZ+!etiwNVY&J>Wy@eMztq_| z{$o%t_2N3$yrIG?Wbiih_$Hs{Rf5S()Ca5X@Hc0)R!xQ(yaKQ#954ucpA=yE!MLmF zkO?H@4_tjTh!kg4uSgB~AtF|Ns8LtHAtBaNM=QFy)nB zOr%rRK@#$LxY?T|;_dU0pSGkQT|EvHvN@rv-amz0c+#ALqy-T z@f93iE)mJrn_bG<2C~XvBZ2vK3UvK{Q zua`EaSED9q_RbVCw@>KTOn#U0Hu?RoDy4cxzok)|-S2Akmic*m`R!BmhJE$$l#=uh z+o)b@YPnOBe-M#lyTUOH;x_k#W30kNuCkMZL%&2{BF>dN&}~WVo>>t(o*OJ91Ycx? zUteCs^8Tl2c}v_d2v`a5D-04kl6S5s6n(c*Q&3gKp81wjwlc_upo=4Mv(NiiciFNo zd8awh<75mS$XQ3gq^^1!i-hTL7T@EvPBI>z`OfEUuq6OwSr}uWdtHFP0WFS-X3jCMR-W3p&))dc3x_cnNmiYO*Vl z4m86|pcS5JGjl1KQfB+y7E2AeTuO_1E9+P6Pr`3Z{ftuAazul*+Hxohp6xotm|w8~ zbJsBG!yi7=u<%smo4LsCoR^7nOT=#8}S9kk{S4$y`J1!^gl{C06C)Q zP#Whj%AKl6H?Oy?01Zs|8V@oqfrxG@eau>zgyq2_>a8P)k#dU~B(E%sD@CK9{K4*U ze0G?aWY{{pqPoSLRsoVz`yvxEX1pvIfScP8sktmHA6SkcP4LKyoniyA9E50gCMJ-+$;(d>_&HviWAnHOor#TWT?ZI;nh2; zacDwR(R*Rj3Y6X{FDhjREN3X{g`x9<@xms8nO%{E0Vv{hhXFa7Dde;&k<<#B!ct$V ziFK(CN*J*LWybX@k^n39XpZ=4qtMN}&kjnkAv~Ff`T6yEVEg$9#~GZYKcd^{f)UH+}2gNHKvhk zBT@FKi&m|w@!%eV4euqpswVUO2wui=U=ZQLP!CSh0e;jhN{p{mN_U2AN_Zt(eG z_#?Fi7PEXtg2Zl!m<_}UXqpFTrglH-Qt}!qLuYyLJxjIsMM^B%Vf;8Y%hyT=ENP3ZpTF@+(mpgkGe%ld8`p`q@3|rDY|l`QOb~LEcB~) zF)7g<>Jq4V!dL0??Ld>}F0wPtE%_WxTVD}iAMeDFGx?zrkC6%GvvVS5^6&cQPk+=D z-0X~KZo%gia0mag3+~>ZB-<0lHY-;C_i)q+tM86~sl%Qm^$QXegR$uZF@@ z>!0%Qg&fDDDZTy139h=sws#80_!`9Rgq@!|prL3QMmbN}jc2(-lDxNqhxivJpxf2r z@Q8{~Z~j7}$hPxV2^$mWMuj;O)Jd)8)nKVV#l7uzqJll>VreYrX_)3irl6uEkcne@ z^0sh#J82;DcGjf}U)Hj-uZ#gvtoIR(hyp5m-g+ScJbnbCltM9u8Gkh6%r}jkYmIfr zp92WZ5?1!b^2(GYl*tyw^E*}@3$|xCU5&i^l+WdTqPGL_ytzRxMPE2|1+}Qkd6VJA z-0$J4-UAYogAKK6YTtfOt+6qXgR2_aMf72?1Fo8OKvyY#hKc~ErV4}_v1D92%@J!} z@z<%Uk`wU$vwW-Td*7g6x&YSfFI+F+oKyj?P{+W~|sYZ^~9hGhx0Z{WK=qtpm#eEmVL> zs4=zoLzMGkVT8L^Nq#jY4vf@@Xd%&^zs{c0PoIVaiMVN}>vU5rb9l3++XVfV2%Nl6 zG7a9aihM}Qsv%}KEjQV=9VBiSQiv8G>c}12D|mYZNT$$s#1QvzC6UdNGLe5pHKvrVa;P3s8AiQSPQ#ZE`Erv6NI_FGk}|?%iQl4u_Fie;yv?+Gg-pHZ!3?+I9@- zS`+OWK2ZHL<$uv&`#o|rLkY=*66D@s;&hK{5Qf&Yolsj1u^+8=S!4tTTCUPHMN#2! zU%@+VD?8@d+9@iSnV=6Fq%`#`*<@;UJ;||-in>fGMchF&^ylfd{CbVk0jBnWmO%+g zrd8BPm0)}I0rFB*Ca7U;Y`12%heB4Io5Fkwm5sX6>+@oH-frh9&!r;6;v5fI_?xRR z*7FP&R|=MFnKB8zS@AApAC_r!X3T5(*vc^4n2G_9Q7uPm%rzZ0HD+H=S0i*8U0N%G@F{pU3KI5|8%vz23byfq-;d{`;9 z>U0W3vW7pY5&nyn9}+t6kB>1NIz9#m903~8fJHfC+Jnx_7bY92GL;(a$U|x{tij8k z!TFKmdi?tJGx4wxnB$r32AJv~J8JE-ITMKAP%(P64OOS!*2vBONS=Ep86dr1nyiqw zcTX2(vCgN~a1-`;anCj+!1I+UP`P9c#@(veiLklc z@)S1;r;V@x`>|kio+gHG$>_l-P;BF(qHk=Dl&bbF^)})r1;GXfM=bPO5%3>&iwi58 zf`7aZm3l=j=yLyo>w9a>Hr^E?0HWE|9j2BfjvQkS#9}_t)>*zz8?noi)K>GQm(UGE> zmq0=aMRXqO@-Rc&C)tiM`!F`%H%lHm`n1>`*fN;*(IahD)xb=ukL5@-o&}QR_vS{p zVm2GK1<~u8KW>>wzRn|y!&TJZ{mI(SK|9C&K z|Mnl?SUujB#G^Zv@_rW`a2)$V=2f{w;oVEWJ$*0|HFR|>mq+v2rW3jg10iZ z;Z|18bvz#2HhCRx@Y<>{73?8!dz;TGkT`X$DIxcAC{}0n<2i2=)I_sZ1}WcRcEPLD zvIS&Q7Jso98g`SlS#I{l@+e>*QFdn7?*NukNv%Z~o*`Gs5vtW69mfykTPXnYw%fs> z-j-7Dv*O**4-Coe&7b_p79F<|-4b3KDS364s5_nF?_u^mVquVAW5TgN-XS5u5>57U zx1{Q9Nf?@!AebXAjGbig0xB(t@%SD%r?NfiO1lO)=s97eLe%g}|*kJSV%FgKt z6fUFFIwsHaBW)Rz2hAfNe8xzKjq?6BvK(AR&-v~UEJ z8gfQvNhbjF^bfGB=J^;x*0Pw(?zx{CJCGnWtyzezQn4_+5nJ9YEvvP zQgDU0w-`xdi^FJ>5+d5=@LdXid|JYPpvh}!W}cKehPo!0Wa~eI+V8`GsP+s6CHm%z zVvB)j(#Ryf0r(MyBdCqiCf@r^LadE&9Inlgr5Ft^igwl{0&Cyi-{x?cfom0vdAC-a zl7>+LonExlU&Lz2?}*BJc}ql=$s&#-Agq@SEYo`!sK?f>9gnn^yBqvy(B?&k;G}Bg zBTdZrilw;|hZG>ZVu74aa90xznoYqYOu(4MhX)5#5`Xj0eyCM%zHDL`$d@ao{k0J_ zTHw<5qBuIzV7vK&83h-YbiZIzf%k&a8`EVhk5 z#N`uPeLOBc!`&L9pO6Hyzn;P@;NgLa{++|r-A4fPG&k91v+!>j8WGkg*=|~mzwN7hHlvhFjwhFtRqbHyzE$s7RdUL*CaKehT-537 z7z#@=EoIcbQmT$;vx#!l=t1}595u+4u1{Ex0lW+G+l7)k^(jx^L@&n*_kJy4ndn1aa=iLQs`h)dy#ZPXEn!c~|Qeq=tvrT%|0brRZE z&2X6lmOffdEX&kWureyUZl#w@XDqek;YwU@zE)G0beEB$jD%0(a+GXQ27*>KtF23n z(xPLP3S}}hfulB2$Pwf7sA)8C1_A~Dd#JGr zZWX_I6h}cbhoLu)6zhr_*%W`EzI5G`i`xCML%xoK<@R9;}?~X_Isek-?VSH^dU@u_D%!Jw2tjkG@PK5g9m z`5Gs0jgt?&sOh38mYw?|nv<2&5?ymeYX&~8ku+X{W#eQ3sN@v^oT;tggG0Q^%1fOO z;;sW0aZ*9vN5Q6n$2>GPWLn?_TQu!F!|II9f~;-3{gcaTL7WIeBpRlBNxS=V` zkRljPeV%IjJ;#aXi04_``dn^P#iX$qpc6yD~X%w$(}SJu7yu!VcNXL{zG zzMZMrGqZi>7$P&HvSKPSBX>k*)l{SMgCC7R*iSrgc?3&57>vwCMlu%($>Ql%R zCG&s;GH-wd>%Xn_uN5mIvZ{MFY-vw-XGE;EV#T`r>;J$1`%18F%0)g+=xK{?8;*C! zdzKAstT>UKlhE`^I=fEM#>Hh|0cNfcj#OpQI^wb=Tt$@RW`>1wa6rCd*D?No-ZB8D zWnz1`NS94hfwJJb$OfY>yGm2S+E8SFu*XtO(D3XsNCpi~TFa|uKLtL&qnT*cMJ{&7 z;x?Jn){hu5b*&dvvO&51N2kf~bZ>;{&3&ov)D?ZYm)z4H41gC~d=Y@xnSbAuk29yGhOR zPyo?bYBRK4Xs$c19Wg_DqjQ1QsrKqVPj9U!JIk(ik~TN5*?-~EPI54Y#fMQ4XJ~=ifw*CeEao zr1e$Sb}EUxJLu@|Jg}nP?)zOEhlWn+clM2$Qy)$CFlpCP-n)B*-@Y~z#eA}^vr3gs z5cVJQ8p}0U;WvGU9vBz(I$922a?}7_XaW_pzySg#+AkT0sHtM6J zy<~Cu4ou}o2g&^MolRl|Bd?};GEdD8wSJcjUw!e8T%YsY{`SKBCR7a2SjtNj&mt2l zz=dRqnFf&ckwdnCF-SQDd%2J#FUWQQXT>ZBx8N-2f12*x(E9Brqkl7n1H9Xtf;|xU zQhMT#8EW;PlMqf`ESf29@xYa~U$C<{glpPi{)SEiE4&0HP1D+sFa!L&9<>M%LzRmD z7-PiVd8b1S&W8Ww>1ZOTqRz;+Xo=j3E%6nPg(9&p+teoal?XDa*X4X>HW6dB;`dw= zpQV}Gb-A>1WadzxtGG;A&A}wF$2ApvRJs^ut29q$NT`Wa(912vcUnvzWHn@&_s3}6 zJXSLAlGe@f)YSHZ&X?PNeDK&(I%9d=yo}IZs@EJfJEg;6MMb2=@WrQZVI2SSpLq0$ zXe+l+pkUI93Z9qdla+XK#m9GCz&blfDbYRKpAIB+WcDg6X1V5EZT^`*#XY7BCi7rM zJm$)GuUAz%gLQZp97hr{pWd2o05?3WEjIEYsce*cXXbe}J+rQ7gV^Ng{emH_y`I#!W=wfFbj&N|Ji2^Mu&^b18AMJ_xiK=F>URFJ834ekwSPdd z-Yxfnc9C&n>+>9xm~lJ?h5|a4f`V1T7>Ar3vQSrZ17|JJ8^YsYHft=chjCG~w?5 z#&bVTDW*Yc0qz=?yx_7hh5?^RljbgArS%tVx^nXvJ#|)JM1@5NkG+s zph9lg3*_#ABpXC!*)`eh3OL6pInDHxCx16SJ3R!TOaed6N#Fnm64|7ZaQo5i^kP{|r|3-w> za4D9P!+vr#cS;iO`#ws(rTggw0r<0!5b5scXmZD#hiO1X7DZ`|&(4l_&rTr7_SWpQ zV9~scFM*bfJO-CYAxUQ3DjKq?au6m?j5KGb=Y@E_q(leStpX>uFL&1cH&mqRqGA@K1)nPuZ#iz~D3 z5Lh~v*c84US5n#H#fuB&X_}lcto@gMi&#n5upXz&h)SvWynv!Cr4sxn%sOGx(f1?*^ZGWxb`c2L0Lpa4;&XX|_eRgBRxJ&*A1lqzR9b zw;T^Zm|4xlcM0VFRZGFu>64mSwac5r414pp+tFZzt4lgB81=GEPYgc8`@h2bW3B4# zfbu#uEl8^ckRV}HcD9*}wy63Ge&z)~BVDh@!JBWM_BKEQ+aBAzmQn^^gsmLCrz-D| zlGBB;>ImWpFOZ<-s2|8S0n&A|h=QSEk2UZcPS31~vS5panlh;6SzEvPns_?6Ng?@T z3uxp`mad$YBtXi2Q`fgb; zTb7agOen7rc6n*@07V)DS8aRLlB3%Y1)QUpnmCStnX>lCN~?4N8Nz@*&*nh9Qq8T9 ziPvavHGuUYwj%WPq_;enbpQ&vU*GAa@ctjtUlXkr36y5(a?_U&#zwZW(*12WRUJ()w){3_gKVyaSc&B-i=!7GPpI zo=@P*NcsUsxt*hog5EqdZP;6o^=fe&eA7}v4caj-Hf|` z=zf_g4d0>4Pw};%+A>w1ftE>GE%Ve$!g}c_UScJSbW&avFylf&eqzcf0oNH3dc!=~ zwYqvu1nzxOPh2jDwEU}#nKqYg8704hIkIIU$rq)uCZV#gyw|B40ra-)5htXEmMJ+% zA)HX;R~cjh?AmM+mlc3GDt-&38Xkn*bockrQ3YIxl%tBmWiE~qD7}FWgjT#B=}~F+ ziqgjEeC0QuT^`^@Ud)=imFX7n1DWjtIA!)>$6Ucr$d(eo*d7L#i@?7q z|5}`d3LB=C&FLS5Ei(%ooNUWxcX2EAkQSJ){fMFu>&k67KUD$`W$I2j2t#AU42v8kQ2vr=xLY(= z2iQrMlw^;HXSqArI{wh@9DkJjVX#~Lk;6#3?cyM|T{OuHHyVl|{BoRGnxCJ+W#K&ux{^MEcF``_UxGHpqgz;b(V$4OdsQAOHtSB+8j$ z8K#dgnr61}%`&az=B=>A7{jfSV=IGN*H+kp*4)~{0FZfo3Q_<&aghfn;!vcUrP-O; zJ7p8dykF@ptUC@BSSwJDB|iDh3U(2qkm*J`r0XKZ&2nx=%s@B5jdreDNXcgD?JnuT zXq1XQrko}}YzokiI2K!z`xN)$(92g&eqgp!3vuHQ5F8ciONdzEXJ8>kyKGcu_rg|JOPkPsw6WHew_c4{v$a1O~f z&7EdTYE@xxECnLRaE!PLtH%yw@~23W`3VwYyfcEIdf^dq^>dz$4rR#_QX47{$nYx|THpLNl^&~-*cM&&)a?Zf7*e86ryesl)Cb~GY}cJ8&aXr~>u zXG`l2+ahzi$y5oR$>psweIU05EsIxKF@a?!OP(1s5;n{ic$SXjxh%I%wC*Cz?N4~o zB-Q>}Yf84t;Y_D|c7lY;cmLgXI542tF>Q@pDocr~ z-mJ=1Mr#8Y!A+;T;s_1X#z__T!W6b6#1Om9JBK@g=36r@$Y*4F zbVkv|u6Me}F2hKmdTKv(-*%QZm$?$M|`si@~Y$Wh(Iq~~%JKI#A{okkztw5tUju+1?N!Qu!R!$AN)trgao}(h) z$Tc+}?(OeXPS>T<*p;l6D-di1?kfxySx=5=mA12$TqEb)`HlD5Q7>gdB<4`hkXtr4_rqvQZUY?V61^xTgj6hVs)YMc#P2MT<0V zKSW$Kd9CpVhFt@PJPbB3%FW9{_b|&yldi7wEK8=fhG=DLix-65M!5x9!qbfD z^h&(eRt*l(B`4@~9-iQN|L!m<+N6NO?Hr|?pDpMdKVKauD2D4qB^wV1y8~;Th@TCm zQT7woeR9_6RIzY*v2U0z&NE5zlXY2Mwd4q@0cBIDqWot>e0ycqgs78C!{>38>fz1S z>1cZDw>J-!GrP0MNnBGB=y(;U<}^wc3>+5FVhIwEV0vo~yf&*$euC^i=ZP~jN)kn3 z-25A)(t$az+qgp|J9ayvv)4_hA@7Se+LLb=F`lpX`O(41^G&{P^GmuQ`u6rilNsLm z(&DTzIMto=hB{dJwxYs|ATH#SWuUX}ItM5tS`85|S+t}Tp!EHs;3sQHI=ULutY2>c zozwrBlChVRU{O@{wd>3~NEhtEUpQaK@xfjqzn>jF zI!Z1UYD2-d$j#xm&b%CP1v%GU0rsNV=CLdIFq z@(-~XChMc|ttN!Sn$T_eG$yl)jc8TchH9OmhT<^JfcI=)Z(?1vF}d(q>w{!yOWK>L zb~1|D4$EMGwGD>CP09KCzC8ok;Ca=?7dm(xxP&_4YM8*~B$gnTOJ{Cn z%Q?ivXL;@3RMwJTQQp?^-rjWTj2(ye-wx^2F7DWXJoz8hT2kxwc|g7IeeNil%lqi= zjPzu0{Aj%Q=ooQ^cfa4{s|@rVv}fD_69vpkKo*WXArQXGF-|ro%kTMuT=nGCs3_m%AZ{A+N}9 zEbbE6Iy7yed&?~3XCgiV9RGbl^6}~37~JS*miznHn-o0|TM#trCb%6_8p6DxU4C0S zH`XJcxpCof1?ywG#0A^?pfLQXvve zGKSgjTZ>0*N4~F9Yk+i{%mzEY-|X)l?2lmHF+Gzx6lM@S#y9hpi+#Fzk}L^&^uK?+ z^$CBIDqRF`EZL}L2pZ9VVT!>VNMnpC*N zyU8C6!n_F=3JeR(fzN6V0)Q^eUcN@!ndbrKnMy~TF-a02wWw@{i^Y>#;LgIQE&U+< zg6?+E@1-0|vq_ZFpgKah*d=M8E2nW{7OzHV3x7m^ahhA9B76@#qe4J7_g;>o7!a9a z;1-s^qhyi)7}e0GE6xQ`q#Mjno|Kz)xiscHABnlTWoe%P`~go8yO)GHzrq587zy}h zxH7kik>34flDaA>)m%b~U-D_RfkR^2kgSQvWwITdM@!(9(7;$JUjm>~esC;za@w_1 zLAQpnI$?7_%u}ouj4&aF9xQCG4n|Gs^13PfO%mqyPD8HTXZj*7ESA>DQj*|tjCssH zZ|ji!Q>C75pOWMfQCo)w8>_1@^RE~+puP=RmO!bz9~bL7#BBGW(0ZV={>$^2)Os=$ z&o#R@I;Gdms64?@S(H~volYE69;Ay0z_*v?o^!aTX?5Y)r==g(W|!#$5S~l$^d9P_@#)xf5^Sjw)Aqzrsw+}-5#td&3A*=n+7E>^8B0wI-o zl}SInO{*gB2ULV<@zHHMpfE5dnxp7_^){JgMalUcEpQO)aBD1H9^J3~t}gdq66!iS z$+8#Wv0OYUZ(`sTyo0eT#0BBbr(c2Wl8hU7z`4$In$;)kOUnCaJPoWk95t<`n|$2@ znc%CjltFBbeL)T2d#=n^yvuac;Q4a^=ncYjq46oD;SDSTV(C)UqIA%ly{6$eczh<` zF!RHcRojLEfmP1S8q-)0#q~f=2x20dmdGQsYfc$vS@_XvT?iNS*KD3UK|eeQ$UZ@X zc*;2t*empGGE9q`^cM5u;oo>9`1_rjOY^e0Xv^Pw`{Jo5mDx3Y*yrXduwFR=skMY7 zsQN}0UjWSUqZA|mAbI1aD*OgNc~eQ=&;<$PQ#aqQ-)AkxnF{$zCQWCq5Ghd9>{8+L z6gLfQ+7N<>PV}C$v{`*tZV?dzfARQksqF%B9sFFwQKWq(XLH)KQ&WkM z>;+5GW0`nP2CyQT?e3&envk_bI2r@@vPQpgJJ$~NlM=m_BxW9+=vSbNus|K1fZH2< zYcK)+Dc`aER%#T~LTk<9hmk6X*caoi>qxQ{bW=-1Pk^6jowKk7te=q(hhCU?WHchK z8txODcRdp=IAD{f&kec;Un6@1IKd5Frx;-h!J@~>&y$lq$SOZL)}O>&uy9;3yXa}? zL36h?X5m;e3P$vK$7qIo_{_A-=5zy3OAUPGF}Oia`;~$#>>k4BIBeblqviUK<7m;u zMQ*hW_Wy{p&tLxmoEyY>Yt3R;17_kdNc#an7#u|91P)?8>!ua^g9jaY!r3_1VAwMG zXj-Sq5y)U2n*Z#bwYA0K^K~1Zoj-*xDO{Qv&_}7#wrqpx8X}~{N008`kZ+`bmew5I zr#1OSxdP8aYEGMF{^Nri_2uVp-tN9klV@1U2Wi==E^B)3_yO&Cd;aFUtsTerX$L6O znGptj7WnY#{TuU!iul$P(bA&R`?N?#@&4Y29K~GPy}!=>(TDvy`}Z0pYjm8|L@Jc^y03Z2 zzNZ@(fnzebt|e|317*r36Y6bynso7&|q^3O0h;V-)s3Tq6{ee>lo#DDiUDaw(?BbX`= zjUN?xE6Of}C_olxp@%deo$X@1IOI8Q14GbN&((ZUY5!VDx-aaX3}N6lU62Fsp}s6R zobfhtIKy9+N*RQ&^1?l-eF$cYUCv9~bFq;RK=F5WNcSovNn1X@nUoKHtM@1zcF9QT z{^t1}<`b=&ZqUO-?qGb?9P z8bgI&a&YK62mmw~pK>uOXiuZoz>qMN>94*;E#ki1s`SmOv-oqf^A_1HGS_S0l1G&k zv!Ec4XnGN2Tox%gVlPJf*7as*&vZvN{^O6f0X<9kpTFd*e!Cf`U@c&VEodZjPYFG+ ztXpaBA&ROYF6L%BA zLQg-cuvZ%_6!8*-cnZ_e9Z_aCg1wjYQNm+Ua$py4JxPApENMG5W}q=JS<0p*W)>ag zEpfB0vaEjqf8`{*tR$Hy2((23R$-J)1SUx>TBD(`7pBVFYu1=5t@152;amXjY2rwE zG)a6ekY~De2SucTC1SZQqIh$xLZWe6k%jw{jo?GcjD{ zX@O2hVVshj?kn-Fwa&>*VgY7L`Z@sqm*>xS5bI?PYdkg`2pJ5W z3!~{h<#e5lPj;Ak+kEH$$7%{`Xr3kQ6t;?VS!Rk4_CD#&kkw3i39axF%32sM0*T-_ z8Ia!=sNx!$QV`(PC3RD-9j4-_quh9q05ElY$n;goReGCV!IeXM1@TzMfCIcBULM8Z zh3znO>AiqhRIPrmUOhQKf3#RE0It&xO&{@jxE}btDRgINW(NeI@126jM?F#E=vkDy zaUwTmRm`Ns8|1uS_uJ_$!spUrt*Pc0>`T{8QSO|davRL5D6h?lawnN=ia9_oaSHso zPsD!j%Cz+j_r^-|J}eushlHNWbUt^1P&2wF7;d95C?onNr5PK>7$OfaQnyF^IQPKc zdx^eJF>Mz+Wl;MZ-ta{}wU_sU%UkB{ez5-ZGv6R{w}r-J45S>{+{JJ$+b4Ztb1l%0 z3P$UP>B`nlbPVZUo2c>o=Jt5wxj+B^)q2+`m|_1*M5au+MjJ#Pj^bRYm$i})`D@7g zs}0!GcB{&Q0{J%q{0%2uNUpyPwqKGL-dB4}zfLpvLa*138=ss-TT)dD<<w6v zk+kQux;gEPcrH{qi#uS40)H)sBhJQC2tC|`dANU_92^|U zlh>!tS1Ybvn;W6@dk~0aZnmJSQ(H;RL%TB1nNXhp{hEf~!&*Ii$zvr6qSxY8qRb|RU15ph6jq-91-M{T9!4E~ty9^ZanbM6Mma%&| zVA!pIG|Tc~AK|w7Oa^M>Y7ZZc*AY*~&LBR0w6|yeJ=*aTN*3vl`C_wxgN^BD{44bS zg1%Qtl*F)-{SG75yw>5B8DPHFtQko+C6tmBHB7owuLeK5CLcaJI8J^{4j!Ez*#y5O zroTGEW|zLf>(Mu?qVc7l&dTW#!*9NPJ=!78P_5q^)!u+CaP;o5>>Y}Lnf2=}?t3>` zcI5?Y;fF@pm;8hMni>aa4}A+oj1Rh3T&yf)NTToVxHZ6)1$tub9P72^jR%(X@!9do z7BW^_hmmbHlg-6NT9nDe9CqtLsGjS^mmSi47!5Ix8U~lQ*HXqbwO!>{cG+Jy$>9;C zSB`xM@8Qwz!5C^Ey@!M=rHHn`V59{HX9ou-uqXbVkNb&=iT#!hKQv2a25rnz3x{E5 zBPL~G#YdbBd)BBMbm;M@CGos%w|(d8c>WyhMs!y>3-=hT#z6lK;0%^4YCCe{7RqAZ zV#EH4vlg4dK*8ggQqodPdimN<{kS&+v4o?2{wQQ0j!&zGKikeN31r-dQn@aRY?d1H z$qdK}Nq-NPF{)pW9GuRw{i3WD1gZek{8d4t)jW!jFRNRaBbVI@7fHbp2^IcWZ-F0qxJ_U%N6ZzPa z0y&?X7{WTs~r&N%^mK5;pjB^>Jy})>$|{6s^}YOUu~3 zifcN4f42v3PSa6rLu}BMm%wzoG%JpoT4tTz0Z5PO;D?KSwlT{4YkDi+`!@2QPYW}z z*U2;UcBxlTu$QECAB>XJqj8VcZkFoZ$?Yz%82e^~Dq8kqS=+^FQO9W^hjUCHWKae^ zMDI1)iESK@lCSe@*CTdMD}C&0fy4>lI~Zof`Tkcv3Rw}|ECNP^swsBsqbD52obS}= z19F6d5H*O`AsEI*{OQ;a5ydKQA`W9V^^`s{7AElt#jRs83%a9S z?Y5(;bPlkbfz*Kiu&044pKR7j=1rTHUwr-QC6@-GGX)s6@`SSvmbM183kFNGj0n?& z)55XOWj~tTi~LEG&1Aw<=%1RemZeL5Zt`Pew*bhb;!QnfuCFgM#dL#iPqPZa_}#34 z$`gfuHuFo{Eo-y=ioE+YD}dzVL)469G8ZYVN|Wp|y#{W;DIzj3MHb63L+P8&eM!#2 zv>SofI&eLrveMptPqngoK=DocnW=DSq5MEWmtQ1-|9dC-)chDYnQhj910a){5$-Ag za?7t7h7!SJBO=)x4-uy;A=Q=z7`tZpt!d=T(O_Fjp9a@0ex6{t?PBc-8~4!8#db^Q zeoI~i(;F|@i9mEc{|BYxs^#>x-BBdp#UlYkay~@elvM})WS!>HDT=;6HOqb~4ol6~ z67W&pnk{wh5sAYOA&!MH5b8D}dA0np=vc{seBJCe@J2Rdpz0>nvKUd|RC5CW&rHmW zyv`mYBn-^dIP>UrK81C1S>Fs)s}osv>$=zp|hOII2Qup%I3JG4rDm9JJUBo6XEX!_7jfM6}3<}(AO2>9NBD4Cg) z&gG@~&thTzQ`e!Iu5dYdrv40=6__?Wanwo*3?fmbuy`2u-{a{Uv8 z+-qjk`du=-`r;i&ml(wQIe=)`fn(Jh8iU&}aso)TIV9x(%8HnI^0jakiImPWU+O@M z9Ei99dHqn`pdo3S!1`BBfr?41G~GnNVKAlBWmEsa-0WbTp5{b54Fy8~p@Lt*2}w76 zlFeb4Q#uNfgJ_H+3f&iwa|kh@VRDn;DE|zsT3WQ|O1W9DHWuG*p1^^IgT){AHz{g1 ze#^ii(8x<%kgB^_ynEY%r&j{A{c?#TvmoVbUSM$wS^pUw+yf@cuAX+n6ECu5m9fX( zs!mw1T~la+G7NVTkhjQ0IuD#eCAHO2QowIYw_=*E(g}$T4t+Dn%&-6SBOMuNW$@|_ z7uYkr*|8`fFluF^5gUlz{0+2Vi#zHlVidh@HHhrNH?7LToF0wQ0476q4|hJ3Q}hsj57zXPF_$2GK>upIT#+1rk8FGrHCE&+IF08{m%aIl|EN`{5Kge? z&TH4JGS+Y;H57bJTU(KkB|3H&yYC*{v3|?_I`Wh_wyX^gZWY+4Do!m z5mXt!Us^<2Y=c;>nHzt`f{4xU>!v#;VB!= z0-vKFLA*|+B}^vsqd|Pm)}w zrW)VOp>E_7_tgXtTZ=wcNARvC(zwad(|-toYH_Bs2fZ&)+PP5#*)qf{_loy%=STd( zoQ8moa(s5s*atdsVJ^2PAUKPL>+|X=TV7_Vh^6{7BksOqRVD4Z!|#E=lU&!wKIH4U zN^jy8P~&d zcn_9lInz$3qV9J;Xqwq2Rttsj@=gc}+!b<~ng_mvN6nD_&KS0C$N1{)E3LS4Z?sw1 zAcmWLpcdWzJLD<4ye08$LW-^%+_jAxSm?x6Zuj<0b0zU*OZ85#2zOb{G@P*(5P;ts zFh9d|y|By$S&=izvVA{YaclEoMAE~p5@>7_pf*$JMBBO!cyx;z(rW(TD)8AY>bRKAMDQ{M2bxD48}_3pAA|e|=Z%Wd?o<3nj;YHJ^?cz5Wqn zJJ%pM@Ym&ypU#AWM>or6@|CW>r#I)?k4u8fN8f@ujoEoP&g&7>EwQO{`ItBBTx0GJuHzWJu607ezWpQCarhDB))I zGCG-Q;N@|9S5>{d>}#=HY_XfmsSWyFwouq~_EMni`FOT{P^)T8bg*248~iP7Qb5Qm$B ze6LNH&KHZ@WN|B6y7cecaVc)k82g=zqx5))n*kn6k1RB0elDcqv9Ul8ugJ_#(CB4ORqjJ>4?lhP zFM9e_TS%p~W>eW?xH-}u3Q$d1=tVj)3x+jV$-S}2W=^pw zdBHRUt~mPbfd!h`yL=b;km$Du7U)QyLsFpD;#&E2p`&*A{pj@MHLar|cmDtfRh2Az zY*|&j4Wil3Kue{-CNkgCe&!3M!rogQ`FYh79Ezjmb;}Cl{1op=P2rWijldgvMx+C; znXVweM`fK%6CS~YJIyw7W;|{QGY0--!!l^*i{p|ZqN&uvhDF;F1fxf%rmc%|dE3b$ zNw@mAo|h=|V&3dcVODALg`UDqLIDy$mMm6?E9J|4umhCBe2FP*Qu?Pbrk;z42^!b0 zHfY0(ge_RpPIz7I6@IFT^QwvW44beO?D_XLMQ-Yy{(iQ6muD26!iI5Ej3IxWU)v_R z*bR0hhixkN(MLJ)+|Z zRxxO*uC5*L-^4sq*q>#1*OuzCKMlZUKx>c6cjg^`H3)#5g#M?@&wuy*09_>Tes~{5 z7jStZLXr}eTuKGefg!F(+;TMET)cCJS$@+iVl_;jlFqW3;i+li46lsh2r(7Od;w}- z!1DV>Qj;u`iyh`{&PGKJ&dnD4Ie?gRQ)WV?4UksGsv~d)e*Afr5rq%wk8?Qq&4J3M zDWGB@+v;R{P?-wVZi_05_ZJ^ZBW)GDSTNKM&dkq8sJnOfN1t@&W~E+c7M=Rr2n?c2 zwwI}eNLS{~VDX5K=z>Q{<_DUeLvZ<5UT_)4{r+JBvE;M;?a=sPPL($RKs8&I@&?rb zE*s9_AR+;b&#%pD@-C|&r1Nlaek9il_q$8Csl(Z0*1HKa1AQlcxF5_EtAk~!jw=5KNnQYCs>4JgsxIhI3{1G`berC8u3&ZBT;<6!pMvo` zsnXf{D(gx6vh=PF%@59W-~vlNlhr-18$@E1x;yCyU_x^A@u1;kXv;4%6YQ^TwJmu0 zuAUJsZ{mS&C<1SoRE`b9A z-uZe%Twn>J9npvC$8LAzK!ZmZsG3|X1287dmE8+aq?u8A!pfXysYT0jx$9l`LZboJ zmzAo$aqN0wP;;Es;WgbErn_s%m z@i_S+pNj}#wlsZN=nXL(vUCS}uQ!x_$i|8K!oG=eQDSF#N8;cCINyMi-h2Z*0cf`Q z|B?)lq)dLHvQ6p+DvNS~-8`bO$<~(iMPnp|bR3KR>a`^Z^IZ17LGkx-!WSr#9mDK3D;!YAs zCwLYhjXj&-L^gX4EGz}UKZz4wM5@?4^sH=;Q{{r0{@%gfA{gfdw7-pewqxgHY?Me>s+j!%~b{B)dZgV zrTpV3YwIDl<|1tOp&8SrZ?85#Y@}h6tVm4hkLFcsZS3l z$?ylr6kb*7^{q{jEelp_d|QSq-#rJ^mbe5eL6{r4gnPKtD1&deG` zxyg4E3N0d}ppi{x>P?l(xju_^CzTCE&4U@pLCg~|bDCNwqS@qk0Y&ZyD|%eq^R*{ZC~?`z6`GdtZ>U<)=a<(1i`QgO`K zdbr8dTeW7ti)YwPXHY@0(j6#vt>+_vtzY}x0A4=3RsoK*DCa6Mkz)?goJ0=r=w4}f zvm9nlCp`#X9ul;AUW@S_fUU(F{8w<4wL73l82G;4G&;JQBb%0z7~lZJ-<>dX?Su43@z4xzUyw_97 z{s(xG{q{GZ?EF@>5mgh47WH)fbh8HE>nyupo6U*P49yzAX~uY*U4uynT*dX8(+oV( zjl0(#>DwP{j1`@)$towUcQBfo1aV$F!#D`0tRI(nz&61rBSpxk$0 z*Q)zl-^-unji@J|G&RvZsH7D}hggi+e`gztQ3-`4s_%k+_}2g#|Ft=KGk%^3J^H0r zAWyY*8rp*OEK>8wgEZxyC{&{t$M809yi1+Qzm4Tdc9g`Y7oq z5GD8J!9n*8fvN=oFIu(&^Y+bGR<9spcOoKA?k<$#wtyGAeT|Pio$m3`npDt$+>hoG zv(!U$h_ock47o+0PaSNa_FNKcoey8xZ3Egu7T2m zw*BRKGBZmDf_#5@{v2k{Z+YmqE}hb4s_}5(_JKK&E(y`3Ufmy^%d`!^HP4&Av7@D^xoNQUyvu#&R51r9Hge6Vw(07w?Z^3rctZY^`BjbmP>9_(DII zcKw`-A9WXeH~nK6tPwd7TOZue z`2e>*NVy*EM6#=q=%C6~p84P=IXT)rJ`s7%-c+|%?aiUcn5^~MsdMhaa0f35yL^`m zdEn8_Si5IiHz+R8*=*V+`hVW61T3Ui*=C68_!X*E6M+5-ovdfnR`zOA)2eBCu> zzIg{KVuap^H-?|-k`i^OD^eFD85NA|5bCobDB31qny0{qnp%a?9gph_srZuN$=>N+ z$JolsRgv{m1QG3@73_MjW-!OOWC$>jeR7KY7axVt zMju}0;SR}Zd*yrv{z3@O?sn}t#5OQo4@zm*z~&s0C9Mtu@xvd&T+Pt-HfwGU#NR}P z-m(i#ugo$8x^W{vzZtL41>d34K&)z~3PM)7M`pr1eB}`y5hja>R$IH7ZlF!wSoSH{ ze@OCkfi;`6UA{0wu+otzZ^syayw#_SOJKD?Q_Zbax?K0cc0s>~?(EN`y2OcWF&rp~ zfJ{jqOSxAEKjUO(qjb*=W+f_H=^EH1*?cig%^aAUuV_r;WNo8bE}7TDb$Z%HPyA#} zD`b0Jt+hGYssYZQ!5W6w-GVcBOFXYFOJr-c(#e6jA(6bM#Q`@|P6@p0BqDWyiE^(x zgd0J4=R1=I`qv;Eyz6kg;hfeS)u9mbA&4j7tl9;(o#Z+PI$Uw*B3c^1Nfe?bVCtAV zc8k`Lr;lM>@haddTQ265O+iFnoVKmNMlvOq=(%$&leBy`I=-2Eo90j}EzIw62=Uk> ze^!ujQAKzPn1cIo&Pl8IROX7LNLFpWS9U|Gju4(OAHhYf&EmSi8RabbUp_j2B#$&Y zZoAA%uExx`fA*8Dmg!IP^<+~467LQ8eR(2xANCh0=z@5=C}4`1^exaZTMq2)HWT1J zLU7;)-;udN7FL7IogLHV{o022|HfK}ZDZu5^S5$D$3r>-T0%gMUN;KvvbCWR=p~xX zDYaBKjIz@G_0Tp+_kG}2E%G0MrsTej8kV4aWCr<80)M;6;O`^bf4a~Q(o)XZ(ry$N z(+M3ZlTBXClp_f}M{o_!N9aUiumN`NXGQYX>_QE%N`mmP9yaJ8uF`TF&eb2Yks*w{`f^v zmQ|}Omaa;-+t1+lY$NB&yO$LV=o1C-vOm)azl|w>Q`mQR*=IR3LAKU`Tg?I%fMFobBJR}iql`z%DmbVOczq;sYsF@UkQ z_>cz*sBYVBN(}XD8*}qM3kZtF${GZ`)ZmWtNvQ{+VrioWrCIvmD(*i1B&2H=hrdS_ zCi_x`NObGi?~Y)!Ib$uiJ}E(ZpP-prubmiboc0_+v1l7{(Ym8yG=g~jedjygpVa~9 zKbEOtEKyJQjU}K7%2J+oazgtKa3Hyh)can9Yjo?Yw(P&8 zvKf%VQK@ExPP5s2m+J&wq-d@2GW3=c;I689Igsi{-8J0($=+FD?D1U4gI7wXx_RZ8-{!Ib?NhF)4LmN@jKD7)i92=*e?o(ZnP{K(^TTtr9oV;qh)%u z_ZOzeOtj3%thjGa`h&2&mT;Ebx1Q~nMJzeKEOt5QGMpcJBs(Mpu|#6Q(WN~40#;91 z4dsY=9$$yCuIQ@kLmeV3Z{$(C^7;?c2$dq*A1^dDkbN4*V*kVZp?D$oK3-(xv1C2$ zoKkeOI8Du|i;NDl-a^+1)$^LD&?I;<($-iRjdq3QL>m~EbZbn}CGln|qG0)1-qpuP z#J?M6AU4a=SGF!LoPv7p`Ks>W?%^F6zuzu=ay~8BYXEJdTW*5Ndu!lIP=L-Z%go%7 z3>uy=2a#eLC@|P9%ao(M3cO+r26Zl@_b9sIa?^!#(QU3DTZiZW0XL6z0>NQLOb^R7 zW0RHh%72IZRYV@8`&HHL%WBqxH6T}Se`UT)i>kc)3>R`=ma1Wtq!>aMw3P~i0C|79 z^e?CD%Ob;!02lP_HDjWgokHrTR4J$mozqDSZf)f*QnM7T8!tvb`$iW7`5NH%u*e{3 zF~lTFo}$fM6ch}X-!%*K%Q{Udn2Z4i?#TqWYfzRth%<)(a`_yPVriBH>?>QyQ>H7# z6V#VqoIiaU!1OSsjZsuKiJSd8)G~WcvrYV*f7x{mK7EZg)nM&AKEqLK)d-0ox_taw zpjkm6uQ1|H5Agyc3aQ7*$}GT;kCyx*c}ssyxKQ*mU{S}%qlWCL^CokY2mO^EPvd{~ zQKzsYWR+aFNP=RZ79C#?5b;Bbyys^&H-`p?nCH5+~DULU#aw z8vrmFH96edrO8)-U!;L)I>17gP$4nD7H;CQs-yb9c!8Kcc(DnE@AF=*P7h{X_v;(leo*={ZHGSH1vsLTRp8VayK?y zRr-Z+ygf6f4A?Wtw|oYGv&|Nq*nKpwyd!a&`YcFqlsCTIx+<>#O_g3{&ZWR5YqzHB zwU!--OJeLc>?U@?JHMt@sg_!-LZ*aJRZz;5LP0WLI85qFzQF(*24HAeyLKE6DrP5d z3D{69(@SD3=2^pY=NLK(|DpukE(lfPkiU}^~(4yI57(Du+3c6`aZf8-Np zkSP}>yr>WL3$=9IeNCY|GE?;;CVghJRqgV+!Y~WwidA~SF~9G+U!x|i)0%pZmaGr< z&n$?L^84znx<)~$^(YRWay4StayW6bCIl!y9>)26N(LpbL_Z2JtlYSr=nS!J)xT}a$XTWwX|%p4U~yY`=N)nFz4=?T3cnScdGQ2KWh zT$T_6qfPlnT!3jU=xWEYdO;l5;c4#)vB<%pew=hu2r~7S4C9 zn2jKwyfGho*Q_+9ob3E;LopB=d1Wn`g|pTajwMnx1A&J5ZJEt%G9ffds(Zt3gBKJ# zwKI=xcbIyn|H4fQ2RQgd2U@>lAH)QKTK$R~ri1P*cdo(|PinYIpfWm@l=Pw7@1R=T zHol|?pl@wE4~cXuFQ8AWbYi~v-1O%J##*=5EYh9~ugrq_Yg4J?iJHf_QP%DwHrzs? zsA9`7$68Q#S!Vdv0$8jj`{I6EZJ0gALbDS9-Hpd1BFwSZY57ahK@Zmhbuf##?gM1Q zxS6et^|M-ylHsPFL3S64KCkk1inYGLINfv8<{BjinP9}-rIiPW0Ojqbf~*z%D~gG| zO)I3(d;9k7C}^rn1a8d~ey%EWO(sV2!Zdp#eP!B@O@2+6l9r|qUp#L#!cHsC6IZWfTDT;Zbr<#Lw&$k0^%(YjaZaG3~QcS2v^md97#fa{C0 z!f-PEtu3hhKRbW>Dlqw*a+hdYS0^)Eu0QgLoJC4Y!C)ZK<4z5&rv>tO#s9o3Yl(2P922 zOH?!ZcvBC61pZ(j06IX$ziEND;yu@$*Kj9vGM=ke$%AGz|4W`U_lp*Wme-%Z>`o1T z-ontbArL_blOF;cWWdlh{^00>ck8V-;eOupC!QDUe zNz@2%sbNcr;+@IJOb8iePlKtVs<$eIJlXO#gtF6H`5ZJum?Pm&nd<)R zXpH9Et{1hVR2bnmF?-c6#p_~6t>ff}%`(%Wf7@H%ps&XE7kdKSYE>^1OHXJ|!pEMKYasSWv2+G2_gM2f8QyT{^Xh3u%X)KxvivUz9m8 zW`W-3^s>rX-v{t3DQGdM&&+;%Veb?#*qeAhB{vJ2y7rzUAv2POm?W+Ye@g9GRk778{f0X zXW68z(o5JMW*PBlgLr4N1nT+j|WcveEyvvlTUowbBSk7)BMooDH?MYK7>N~3g}y;lSg=l7Isj^nI8fKs#D z@0Dh zI5P0X7Mbi8u(u-=Od)Jx7{LfAa6j+lCbGN~%W!sda8gK}eIyRnCA**WyJKCUoiM%k zcgOlhAB`T857+1Z3( z#QaAe1*i1acAy~F2UCW{qmb}26|jLIsXDnHNH17gVec@*Zcby4JoU;(@jnpTdN=u^ z-sJ1ng5`#LmJ3HuGW2MPh?cEyx@Y+*P?^zJd`f>6UOwj*x4sA4IXm`s$b619ppH~{ z_ZNw?NQKEFk>#6wR^A|E8T@4nRIRCpD7?&=+r%N9bOpC-knVtzZqnO6T+=j#haj&h zOV^f#6^9t`#iL(NKnX!30JjPcMW%O<>uy71=^B9tSSe=OZYyC@f15e zA=0x)41%v7KvW8JPrG|(meQ+rN0gcm_7qbelyIosf5cR@woQqGAyx zlFO*vjUqV#F@w`1VNUHNMVrkTnhc4>}8i@bo` zy5atr*OER~RBS~LB`Vd;H<2Bqny^l9&D7p3!6Lyt_wm?kK@SfqHlUjXmFlN^8r2gw zE6S+B>z|ISrtKEIr;T~-)-8H0Q!{#z&X6{jO~E;s1j}T6c5-~6$uY-gJLVVnd6hpCml+A3L&=>xSJ zwLn=Dk5$msCZ?JVqf*Pd>iS)eYY@~3Ng)TOK{`dl9A!tcX>KEOYiZ*$TLa;!cPN9G zLmF?o*1$iexuSu1XshMhnN}{B8J(-G3<>BnN|Tt{4MYY>ij@|9e_C*W^1B^O(Rz~n zAr$vVgWrX{a-EO~qXy(=>6%LAbEpY+E^e}Gft)KKlA^pZ{O%XhxrkfCb~I)!O;>^c zo8yVuu`QgSlm9DKL|ycWF>T2#kk*T(L>;A5FUvJZ(@X(EQjXe=BIZK?0arSk!3?u+ zdwENgxkbQBnk4Rkru23|Kv_7iV#pO`!y&=%rJvx@-iB`l1~-q3)fj=_T<-)$)O>PZ1u#fspG?av$32Vw{u8;aC)^)=fmBf#?kCkv_?}?dZ<|C z4I#L~8y6sfkSdK*@YmoW(Zk-KZFu=R;UxPGjuK5P-|p3L^P%Nly|(#A&m}Jwr=l`H zEe`-w`-SvPHlg-A{#5Sz6sW?Wy645VvQ=_t`pxC(?IVk>?K>~SMl=E9HdA4_P z3|^(AzGkT~T&7IFoBNl^Isa;tRvmi|Ln4^tAfy8EGl3zuZibN?Wuqtc#;jpKs)2g4 zzJx=|m~sa1{`HT97OmagM#MT>o5!p5w16to3H||oSWtGp5b?2xaFuMu8P!5TA|)c; z2uz+Ck(0sgTd|OA$phuv)az}SwYK51c;OLXeihLWNdpBD?c-7GN_?8fh7E!vnBuD2 zEO2|R${Sp$Y@m-n@1a==MsDR%Atz}CG_?*e!>?P_Nt6vJO%n%7v{CP+G{VODd+Uwp za^6REM3>X6JyJvV0ln!Cx0H^6B0?hl)>g^gfAVot(5X9T9nRP<0VDnzPkx_cs1yD^ zaG8=w+=`KL*}i3#VuVWw!-tNS`3EzeGD*8a0DM_3eGwk5$J@ZW6NP0gG_Q>U*xJ_( zts$`p0=JXWEF>gQw&vlFQ=gW3)HM6fSRlW$uRr`Q`32r>Y+ds=y1mB)FrVqWkuDv7 z`c-88j}aAM__CvOs)Su@YIFdgWK7)Za18LV-ZJaeizc&m(IVY#Jv#HL_F7y;A zbn-GehcX&A3Vx>N0OcHwIX$pz0gEteCzk)KmzLHfws`gGRX}WUkWluy zIminXpxP{x&a4>$LM+YUV^dM2o>N|e1H%_zJTW!eu0MEkbYhd-nO9vQ@JG$vQEpRr zNpUBSjx_ca{>it0(q#Dd>B|uxb4rX} zu#AXH?<~vFx|*lPHd((*hOfSOCqxp~AZ1JkXz7~A$^}?caI#%w3&6q;zk2!# z3CJPzIk|;zIK29F)RqWpNBU`UHK9Tm_PkM}AbXv^Q@Ftja>q?kWw8+>Yh^5IM*3N| zP9jfFQ^+8VgmD|#Gc3kD2S`*;PWSBi_>e2%zEa*JFwTp7nJL8Psk-iz7f@y$>X8Vn za-l>nnt`>?~@4PSQG`?zjhrX5B0|^Gg_J zHVLG*&e42%l~5^4#w1^^HtWabW(|4O!!IAd83D#%35U09B!e+s&ov7uL%qTlN0Yn-N+nqJVK`0Q{wzf+&^} z&r8`yrSO+RB@f9@5@hnVqMN)8{_=^~9$mH0t8CD@kd5uU{XdkZl?klKsnx47#^!}! zXR_ro2a9V{nU6rfBe9UEeVUzpq&O!`|CO-q(VcEJ!uSo`%Hz`<-#BGopXwY#9$xlR zN?Z;Am{#(nNBbAQRWRSp)K(XHYm}|wtIWL4M-@B(*V#IPx})R64h0Y9J1fq_?Kb4b+J)eSlT zd1PTKjD-`kB|KF#_m7kz&fy_v+?#V*at+RL0E-Ln*rJ$#cZyE0&$G4JQR_xMwb@dp z+U@h|<)`!%!8qZKG8J6(oAZQktsrFjc$FLb?&q|={hYp>M*?_YRsg&c0((H$j}Ktp z=iV8YG&FbIf}>&t<|k&^&vF;DXf{Y`WAIlkuZq<4Hex>S{xV__uvQE6B}h6pM4X(A z@5F(Quvxp$WS~kh$iQ7qe}jX+k{9>Kd#|!M5io>&1r)@jK=^)sJp zk%BUv|5gGp8Q$c}$COzq=^a=LKh&9Eq;jmu!)?=#?NQuqMQfN*9E;(QG@63$)>$}T zt|Ok149-f{ZxJRctH`56^w@~N7`+;DR7ht4Tn^{6Wya&ps?F6NCISThADic8<`Ys2 zHsU32PmZggK&?R6l)Np`jfBTu)PmO}j!m{b?7yw`G`eZDw+ln~4Qhl|;%&J{RONok z8h5{F90@KhybAk!O$M&!*3**HY84Y-B@s|w0LuH4zBrvAb~h`BSW;&S5;s~}Q>C5f z&m$dB=}e9aAm|j`+41~GvflMKVKSU{Oc2bQI(%dNLjJeqR|U8sFrN?i1NB@!KY?m@ zO6mE(JVzqI<{?9*RiXCSfn!rUShDIDeYhA9^J-lWnwjV=Jd;qgegAqh`N5b%v08W| zsV(3}IZ}%JDx>ghHip+{4)x~tK^Vv>VQtMm!&bglIKs`{9u@+AXnm&e&JdvzDS#V} z*yGbURP-Gv;NjzB2!9+9n)847I3~y9LhmTdqG9fq^2~IRd1Y1?0vje8ngn5`y}cuH z)gO0!Efg*l8rro;!nie`+c1!(4!~O6EIckqsA(6o09ovYt3RgdPk#F9kD>aLpnArm zoc{FHpFs7eLG`Cp{n<}n{pl{+`hN9i6qwoj>8n56g?eoDcYl}U+%%fc;*Zi~0;?`0 z5@MQCZ>m~co)8!p^z+*h#^m+HPPH$+Np&tUicg_+ycrI^Jpc5yN1cvKi6tl`f3FK~ zh==&(ba!v}?Bw|P=yY%QXxGXZLf<(YDgH}^vQmjC$O&;uuhyWX4ZH_@Z2 z*GMvrX`hAlQz?&kh%&*8GWOJ0ZZnhNc1{;7l#7%DMaGs<<6e&$4p{L~0eu_z3^Ey^ zvIG@@VSHmHT+JvBr9Z%0z%8tnCry{{n@AX(3h0&x*9Ft-%~>tq1$ zZpPj^C)&c~1gJBi`mKoXiIez)F%FB1r-#ZYLO2{xTY_mzE(CO`K=Fa2Mj=|r)xaAt zIZb~)0Gp{IZiLVht5u-!UFTd)<|&#Yf4&REDG-TYcucO*|3~so^fVmiwm-W_w%UIz*sr^Ama7v za4I_X-5HuOCHwYT0%UPt;U7l9zDYeZ3a0d{v07_b-aZXy&Iid=+Iv{f&$Fmfaz%LWkTg`suif~ zbxYH`bFi5L5%@$8&7n)9#JL2MXVEHnkhYM3g#{0=hWb-jBYrQvtp{*G2VcD+1A|`%a^(6EaJ9t5R;wMa<%|T0DdS|w z>2Bnja8YrJO5nJLSZXd7D_rNaj z`o%M2`=&Av1+b`QAt~`>tKIs_7%{-94@8+TRZBed(^R9sqay+(k9=lH31MfDk&xR* zoq!`GaM(l(izH_rphZI=s9xn24&x&I5f!K*O&|v=qmmyjX+>>zBtPrkCy-M&D91QA z5JKt`pk&{I&Z$DoV_HuMOp*+fAI$2v=XeL)>rYE^a;`J&F9SIG?oC$fK)W|P5lQwW zAWlw(UtB(UwRm#g3VOuHb{zUl(<7UOtPs@Yy&JqNtM%n>U2cfkJ=Ww|1|%$zMn6Yp zguN%P22aihttlJ)I8E3U&Fy57&dt4>nLvI$yT;>U!f+^l7t9QjwUWMV>b@;alh4u$ zAT|yepzb>AJ{^SzSwSLa9rZUye=0Oeu2x)a*iOzE!y*iz4ya3$(0wj z3Xkd#3F!3ubY)rn);3rTR_TdqogqaD%8%-!`~A+&&TZ?FGld88o)a{In-Gk@)cpZJ zdC?6ow4mM~rvK+*y#X2K0CT*Xe*d%a+1cSv0=a$P|7_%wWEtxi4m9Yonj&GsEXbAU zkQeghbOogXM__Sl3%-oJ0XAPk%<9H5oetnt#zqw%3|vWrnvUXOMy5GOB*UM>se5-6 zkjo*M$)4%mK}74aOGlZ5`Qi6JBWljWhQ5%H(Lrph;U^-)Te}SGhDlb(_di>kqN6S$ zbLqf*8ZSVEzM%u{7`pp!K4wI80q;w>O0&E~l#EvEAy4EVY_bd%xTUddjM)b7T--ME zFnGuHbZIjKQi8EipIlTFQZjABPmiEHU$xL!@aU$wSf~>j zzUYO(M4%L*5h+OPlQ~7mLq&^%@QPHbR-LWs^i9_70t115jw2qCFxpTSp%FE^&cP^l zO+SQO8Fvr-QXwjbZ`w)a#jRZvc+a0 zq&tAWnsG0^QkUTC<}AA+ULQgq!`%%BA!022?Av365SdmNGx~~?yh7YV+&spc$?S7_ z@8JH3WwGG}Y2(Z`klvX=AVBlDDcS@lX4bPJZ~qO&Hy{axyG|(FP|*r@VYs!+pHk$U zhh6x6P0Uu{dSZX9d$D|xH7~e=;(M)|Fn-k9qOMBMq7MCvkNlwZnnNGXR%(byalf`hhV^BPt0qZg|6Jx zFc;P!p=!22=+C<+pKPU$7!~>PU8x8NWCrT}~h9Al)xCOQlXW$hz4HOkEP`4?q+ zmAp--R~ejMKQ~QVmOIHa(O2FVc=}4~ezU(fKC6>ghXa}l@udQ;SH1#cQSR2HeR`iG{# z@jeq39*R|QpHB^#lgo#`&&wQHLS7o{Zu!o9<*&c95XrhJxfqn_yf(xNk2+vwjT$4Z z0N_N6QoCL9JS!IV%iewTaRULXK)VrP2)x?OZ41ENroNYj5;sF0s>Ys@yTgK5PBv=` z5P1hzAFyKe)2$=U$G>e~GGmZc^cEq>7zIOuCj7E381rq>sp;<+`wR`obg|mhaSS?& zo|MQXzF3Y1qt;g6{fD@Og4~)p7_1dx?Hs;@P*u>?&~b{#vnA^B;;5^WFG`+>U#X+w zHK2!frYBIKr{zfw#dsTDxjo>KH#Hr%kGVdlg|{5?s*2vhm8ix15#yK{axL zvb)Wmu6UbCbd*{~uUrsM8_8I)P^WZC0^K!W0!?#@gy2+75jgP)!2EXCERSh?R1WN& zLOVy_P0hyG_fgWqnoq+ESgw&Ct)xPk)&yqPy0GW9Dbg+mtJTWLWhlZP6uF1~u>g!d9Ric@1(;+KNd!@?NN&EkQtL zTw>(b9T+XhL@rTqBxp;l2U_*^1Z9#8|4B!oypA4H!)lz%mSy#Bb#EzzqH0GlWg(X8 z2mNg&&bes;l70m?dmvi)-T%nsiX96)!;@9ij4HhaX)Z__C4k*U2JRVH!|OpTpnL&A zEOaDJ(<;lV9%9HgdW)90@*Ylpbd!SZQYU)}-ib;&q!vbJb3B+ftXF);UDl|fd!*>! ze`AdK-+vQ2T{WW6G`vV1e^Sgpb5$n8BD;Xhr}9diGM-Xy856buS7y2v`Yb-`~u>vUlI7 zER9mxhXjTE!oF9Nh!J?%Pzh>jzE0uf^Fz8yF_ro5-|luDbe}~qE3Xy&i2}xSOW(37 zv$wSvxS^pM%17Z$ z(~ZKVaVzd`Tf|@Mv9nwipdb4me600jEqT7ykX2L9>BzqC^b<|v=R3?>7Krn~6eL70 zM)^-q?}H}|M^8TtE-pzsyh(mRBD971OI(1Kj=RHvcHfMefOj9%!$flS0M3Wz3~eRr zjTO7rF#{R^ldz~#xC6ve@>hma~*&)=FiLY1_DD}P|r29GcWv4r}G9+ zbRy1)v%XK*R=?NSMO?TzQQe2@g3ZFMK?#<2~yKQ1KUYe0nts)dz@IOy@&eRL$e z6|do5nJb})7GVfnNR%|h1LTssxwMPq1X3qY58GuS0^~n!NP_&23q{0W(ow-vm<+#cBEGHw3wKs z9+q?=duwC**Xt7B>+P&mQe&MGT)JMUtZLIhIkaz+{gWN7hFheQtca~yyhY&kXx0!m z1%#t8E-=|d;x6{JsG$wv0&p-vR05oPM8(Mlg7>yIa)g*J)T~$_?MPyN8R=6Br=0Hk zU>gjtafAWW3tBP~Y*vpzxl|8?eVoFJ!ZFPE9`QoTkhEsvko^#s(*lyF_t4_G`&aOQ zr1+_t1R~GOv1$fDRTYj@5A5`+*;;@r5};LAHIL79wSqv*q{tduSk!gp>K`~-oGlpO z%L~@p{2ZW*m+UrI0;Cu_cXLL+XH6cYEm9psuGAhwZb~`EnJsvY2?I0xF1Ayx%Bg&y zUr%X&{ew+5$)-9`=jQ`roUXlFm`xL>KFD1%rnt{Kxy(}7g3{?_>)}$?LwBoO+4`HX za&Tov@Io2eP0Z|Oh8}OaHM3@;d*yDAn{5!=yiv(LHizB!_g(|Hw|*5<;a7E*A`{8; z?~N|vYCGD0cmBtiDZ~17;vOtWJ~VcA@@C2Y&0ZT+GvS5^LQzU)`c4)#f-Ab7^=;+M zk{4w;gW)K4pfv&MiHo?Hc~(6o*Q9R24$na;@lS8)}9? zG<1}}JvtNNX!i({6)2_Dqt_{~Ie4i@Lo-o3bmqb80{jq;p)cYq2|Oh)lQV>; zSSkT~Xnq_Vo4;{K=2lOiOBaD&SuAtg!RqvEK9Mx~H$6+f9|nfz;!}tX_@2|5*gf;fsW` zt)uZ>+$5K^=4)S&MTEdGTlLM9^Y-kEjeNvMS$X90@I(R$Nz+SdBhsb?{#m=y^WrAv zD|cljT49%I?HxM!P5MJ|RBm^z6kc~M$)I(rdJ8M>ugS~kjA8y{z%(_^1ey&%(@Ey- zfSNZ6D2IfW7Z|sEUNM~TfvYiy&3^y0vbbHCkFLbV@_LOQ=q};$o||*hvTWpEdWu)w znJ$tfr@bb9c#gKpxMPI6MI7 zVcrrGg_We2)XxH6t*T{yr^d$~V0Cj*;hZjd#J7Y5-*MkBtv6cfQ7rP=%-lEuy&Ur# zWkRB73It~V{rAX*vSJlp#@_hs_{g4}=dn|U;)cZ)fsjvg#~&lX%<-u@gp*51l}L`2 zDn{Z>#Z9s~yWLwxq7xrWS59wdO~HaIC*Ep0WWK&sE+a_)=Px%CnIHOYEnn8%fCWEF z&S4T~yqQVz1~nU(X&Zubj*2h8{+fJ)Upg{4bg_J0nO+@*AsY5Oqvg|?ygJWtvj?B6 zS=+!?xK_!lUpyNS%9n`?pheHpHB!``&A~^p6RuGZjsgQpl_?ET1A}FiqnQ`CQ^erI zDOytcx!0SUu3DRD<829^O)sk)k-NBjCi6*^j4XvR6v_)?SA&WywR`HEse`6|zYe{^ z5=zP#y-&ll+3YrfgyE|nO}il~LR7kc>!UsqP9MJCr|Rjg%AQYmA>o|rRx-8~cPFN-K!5H=;D#A7)lBq-=yMrXq3tMAB9r3_)a(MS>*!k&4kmb%FRj%_E}pMFT_H5bitf# zd>l1(pUx3zNECyR$wzJEeBNkl6ZeRv@Qe>x%0p|R-`kPL8Aj?$k9^q<@@F`N3V*0e zaCf0+h0_ZLDg1&kDX042kXWzUvx$1aR$-Pv42kqQ21lSv9xCYqzThojo zmDek!E&Lt4iq9D%T1IkD;Bn~^3F$vO*)D5+3Fq?adyAm^qixQ(lWZ>ByxYHcQHPER7j0D{oca%{Gy<>dW@fju2-u-ns zWUku9+Req@wS2P4!BUFu5$1Wk%u&Zw08NkX~g`B#rqpmpQ1jk`tla zR1j~4EHAgRLNnOe2V0+MEU2w<%Wa=2i83S4~ihT8351>>dM)a;*xPqULO zvm5nqj%(UPRR8O6c^nqY&62OA!I~Mp{314tgl8utnKly=w~Rn5CEb7~^ei@ZxGcIQ zWIFU4X=Q5?2^pCK-tnPJWL)H!JZ@deD{!vN60cetKtj=w8&+?QKG@kBGjcz}k-MOv zg7qx6Vo*}+^1z7O4<$Ohp(&qjV8olrW|osO6bU#qr@SJq=4693C3RNiYNNiE%mXH^XTuOH>G7L z>voop_sH(w(Lfjs%Jc4{yki!LO%^5c$53Eqdy|jfAQ`eF#uJ(HQYsgY`G@%3?dkNaj3hJT2A7_6)uEzG~d#XpqSS~U?9=21nP2< z`aI#j0_X`@L^ zTApWNPU_d2WnKfPk@mTPmGoI+?$Wuu0hiZP|k zH9~#@iDPT7$@mx{hvVaeaWXs@kDLY$w*+q3#mhLe%%5DpFc1W2&L*F`LUgK|XR5cP zF>vU(C~mE`Ao5r?$qkU*GQ!t6A-X-AyIZWxfron<#w6_}4jb>hj)!~2g%y1^-_EQt zIgF6y9Ju}-6ZJH2;UiKYZe*|W%`ARlZ%4DBZU~pxMOt6txz8Vs(~UV!ENe^-;rU(w zjv#q=ksM#H1~xaVmI|pmqSZ2tW0TA=>5Bbe1XDGBzLLcNvi=BH3VXNT3ljr{F*kyri;k zQlV*sHOq8^p1PcJkT2j6Jx$GY$!8Q8wSsObk;lqN)H#JOFJt6n;JbiDuL z(KuNE_Gn!~Cv}jO+6`L5)!ZsGc&kMiuLiX_kG^y88$5XZDpG@3^t`~LyN-Lu8uoOF7ZLs>MiX>(H&NGX`pLr)jRSXt8vYvhNw}u z1`>>&e}u-4z=B%+p$qIZ%zd+v)npH4)fExU#sIw+QgcxNWr<_l=BC2) z*XbzRwo@+P<~QvPYn({8m}aTBnU0eg%0CuUC?cb&G#bM`0WUe84>)_h+^lUkVrK|a zSFAvxOo#2En4$w@>opm(L$DWV$NXR@q{ear`WK`Qn+i znOuoZEOPKIlmaFT-l$L%bny(P^6gel`@ zR8FpS7`D3&cIhv@%%il0Y1$()bo|ixf!a8sk(8poDXvnS?!&_-MLc_ANVyeeIm{8` z+Oj1Sn@Y1?)8mvWx31rqWV*?G+?RcBsH0!pfi}8f(*)*>BaDWLrr4z46?=3aT*3LZ zKQ)xl2K}zN%L4GJtMj2WSKBb3lj#R^qq&=UWG^UD^uf?;kDjXOFoUBarhom)JPiKSnZ-@?^# z2ik;kmFytn^Dd9xc--5ToSHzVGwJbR1kTr+x|5BpfoXsbxRcbsUF1nu#N1TvA+Dd6*({AVh**MLO=dCKKR>&7 zHas{vHB14stOTnHTllr7;M}F(YzMZSk4d-gF%9PA5qzC=6JkAJ=e1hV#+=T7#ObB& zwut6}n?vI<_0OmB42ljQR{O*wralAqzn@ML^o<_GFFe}O%I!F}}5 zgry$}p(>dtUw(1%@ZqjX14>g){YeLrbzRnSZ`ina7H&Gr2(hVmN?_Ak3c|acO?!3* z%_xfeN@$e-JOi%?3NcCBi31c#2;SPt7SNAt)SOi+r3`D-FRIeXtv!B*UYzm#E_i02 zK}LBaEe_zRi;&uo#wP?>wrYn5GM)U zS{OVg838tzM3`S@Mp3fJmzOv|4fax&t%bZDh2l(C-u|4m<%w(~$|1&10lpzFaw;St z4FFCXW?8Wp_A?nnsp}%HX4cp&c_ro15ZVdYvXnfUFAFx;)oJ2ZA#IHHZ zC{fJ5W0UnjJ|wCix62~SW3PT?qqRsJu$u@41EX=}ll9B~aMP4jk9d(h;3Vt_=;m;3 z7+jYuZ-kq}z}AeJt^Y}XGKETg=rILa5-IFu#~R}m)Rldpp_a}oqah-q1EZgM%ft(n zCDHT3EjbtV@}Hg;_P}+q)UtSraA;G!S>6Rz-ot{ujfDc1$Ua#g`yQVE_J4W*-DCu9 zJ)+~OL4oCGl%je*G^-Y&fnn~8uy#z!wFMJ<-0f-Aio+cq+=D~^&e?&NXa|>Ejqnds zDV2(yb9P`ef9{x~(A-7@mOclyWCs%EoMHNZN>pru+n-r>ZNufHU+`-$w=p}MLw@e|cKy_OKP5N19l>L?<2l7O*8(@3RtUR*V32I<Et3AmGwN?IXr3A7KjvYe(tFNZpE0vD6L?^E%RhA(N&(c2?wYO*)haF z!31olCwX1gOa_BX<|L~K(r|?O1jjv${=bT|`76#rKkAQY!7(ytr^J+0Au;I#3q^1# za*w;^d4f^zwq+s{q~UpcLi+)wRyBB++E)^nKV%6c*2<+voS+ubbdLN4>s)ZC=e~s2 z8%SgN4Tz!tG~rC3iP=DhyIj}o#=z*Xp-pzxrcb;oFS8a>mvl_&qLt`i_}PkRBcpXV zrP(SBN1Ovkg|!_9rA9FWaFALP&AG!y+4?#Yf3p3Qnv2a?%JAk@O(s*a(;5^)h*GtW z_pGvt7L+A@y4!!?{Vrk+qfgYnNN!*^JUqXPw;3r|thYI`GBy+|0?HlIAdWC6Fb{?z z#hYc(U7K-6+YyOv|_`!)B>xWeimN)Lq z^AhKIhB^66v(g}5<#>IBbu_BAGM<;&GP}-T)!ZSPU$dH-LtK}b5xi=XO4#RS(hI4#G^L1vP{CDa_i)W8!@cD6bT4^u7OtZW zmQ&$h>Q)4HM(#W>N;sVsxJDByk+8Z2oVSymG3+F1zBB{Gqavh{;&BtUxqGxS4~4%p z_u)0kfLn|8$G%+TkPfr3=|q4 zX*EhGC4s4f}(_?;h% zEF<=tIsdt|j+)|h@b}zkR66oT%3#7Mh8>mk>FE=Jwcl_75W*KXI2r=@615BRHQM=4 z!A6oiDVMXG4L0*@G+5})FVbt6A=NT@Rb^Qth5RcMm8mR;nmMVXIoQ@K&u!!dhn0JO z8vXwqjs7Ba{s4<>z>8)KTYaYvR^4urT1R@&u$XOvi&<5DSU}ud4!~}epTy!QF+!h= z2TO4wG-WEb6A7m-jJHA%ApGL^oqG=dK6drDFvd7L`D56>Mqs}|18SP&80p((CRn^K zx(;-8i#&W9FzHwV_$fm($x1Nj7sJ=8yjB{iW#vJ+0gyumYjxq;YG`q)Nf+3pr|> zkgox4OCUc)d4ToQ04}J9jB7>h#k#^kF9vnki^6F(T8#;Q#+IfQ4)#Hq-oz&Jy}dC7NZakC*-Tpm%VwRwepzN*z)p>6YvaoSnV0ZM2gDdfDgAWZtt^9D z0d{Z}-@fQ4oY_j=&I;oCJ{nW?uks2eX`Uu%xRVWW@fiQ}M=%3nU|(R0#lZ1j^#)I# zqh|OQWw}Z&kYizOc7`BTrG=X(bgHj-Yp4t(p9AF6o$T7tb1?|c@yq@N2K({wh2>ei zcKq*w0VH^Pk<3hA0T$aM*IbhbePchV&KdC3UhmvU+_%5wq8ly$);3zPtgA+_H^G;R z#m0-+tJpD-Ue#)_@2Fd~cUgFXv$XKPF$_|cx4iR?lifg}}v%rA1x=d=DbI(*d)_l(^)})^}2aZ(KQ0e>j z+a&u|3D4Kahyv%a@b_IqdH&;&ccx$n8u({4%N}3TemPEShai8 z8Y{atJm1r-%uamA<`TRjmn}I0iX`~G0YgXFdtQdE_!d6(e)6sU*oPwdCPaaC38 zQD~OJG+qCg>^%G8M@N-TsNNh?k$i~?$;4i30WPl|N^^ih(a9qP5XKeLEQlb_Uqsxg z)x|2)%S<@+rUe++6T=OcRjcHhQs}1BY%HX369&u>(UJnob-eO5d}T1;zLA$TDGOh% z#0+oBAjJC9Wfo$hWoRXnH^|VK;jrV6H%5}KY3YN-Q5h7|`SAo%648xGUU_WUVCgaJ zB_=iENV}NG@v+2&)3^U!4`jH@O6g!Rb|3~#W4tp$b;;c*>k`cPh0t)Ji@%9v;_D>G zoMQG#N5KA*WU#LhUDQbkkw;ZGsBc*=_l+U|SwN=0bB+;0UWThQFEUrP%gU1bobQ;^sUbj+`TgiX9fyHTfLfgn$`!@2>#AhNIXl9F-@UCH zq;hGF9u3kn<0quoxh^>Z#45>gjyg{c_kMC>1P9vnb3}m!LrS8aGv2JW^Gh_<+AaE` z9w)D}6zWVSgR~kCB1)?)lD2T#3XK&BDT!s$GZn2`Q@rcStV1zkr z^)ZPO4$agcAp{G6FD!-V?4d3mp|F)xT#S(Ny0X*-jb?7yZJjN(WxQcS4RR65TPXE+ znO;^D%Dep+n2CGhB@eN~NX<_ZSWry8;W}7Nl5fpv>|1*{bjK+#$*m6ih1qoEKnQH^SLoWgAM_@@y2&6Rn0+i#zGsJoZxSPbBX0EiEaP>kFRxrrLvm;rucsex$Gs>2M~ zP)^|iK}m6eGG>xJay)NB{@po4T;dT8Hx*{lHraYCKOHhw!iG{*rl_LPOEId9?+YgY zbW+ks9;3cBq613WkDGhg3!m}9?q19UPsu)NjEm+0CZHP?@NidpT83@{w-@>!Exr+{ z?I*Ayd5f|ct?7EcK_im&bn0@0xT=&1=Y1RcdBAci_(k3}i0yQX^$#Y*5{><}WTg&Z zkX$CO%lQ&_6Z|iNow9%?l^apF!{WW%bF{Av@vxUK(I)=POa1lI`Kn#!1`dVS@DZ_j zTnjDQ|0%-q}jyPiCeHr*4fO< z7eammUE7!GqPC)mrr`mnNRb?3Okj8v=M{-16gZGGTJJV$?eNGQpX~PU{+<~G$xx9} zh&rfb^0}^1jt6`u;vrUW35BJo2Xtj=5Oq}Hp?~NJs}Xkv*Q3^KtVBU%6-nc3X7k=b zQ|4%wyy$kC?~@iQ&U6C#(>H@hapC{eCbS>L$B%kwS1ngVsANjA^Z zTG#WSyB;C{o!@1A|Bx+K%tD$j;OIP0lcVDgN!B5~%Gki|AHu`4z2O7h%=7MMf}MBQ z{y#pV{`cl1UQ?A057-;(yGC0k(N>>hd{gB`a&$-?f|7AG+6&AWsj~&H)MUH;_V>c@ zl>yJGmwd1+E8c&WSaZQ`62k+}K5Usj%5m^gZdWc+N4^RPu3BN9G0d;6 z^k;I6gC81!_1IsBt?KzNdh6mLe>mQ3#BK zaW?5G=61Lx?GW}MWuvT_D@cpDw<(&u5&6)=O^wv@=;N+71*KF9oYowXbr;>4MCea(7yYypT@g~BI}?U(!QwMKPhJx!;{1f+ZGZE< zSn7A}hC;n=`Rr|~H&As`Sx}LbTARZL#?W_g2>&~BDWT^G*GOIkxlS~@ByTl}80Vh| z}8XEFYv7zH!)4ZX!Iak z&e&f4bU8zIaWvY&u%t_N%EF8zSFY$ni{`QQV&702{DA)oHP%1>mal{nYPhI44~#Cx zypb;5nQVXiS3KR2DCM)Cu1#Sk1irq?3D;4{#Jvgo14(#XEJpiAEGSPZUhd7(^Q2Q z90LW6<|=a#H=Y6P3%6k{ccWvFtuv>2idHSp7Q_~0HT&F;e= z1|O4-f4j*gQ3Zx{pvFDAQ3SX$7GA^NAznFt2|oRdVxNXy*EWg^t>e|x+(!iMMHdA}n=scCi!oiHyD8Vk?i{_b6ZCR4u10%7+Si2ujQ;E7|j=EMDyCkgw4 zzxd+gXU~#{&+fl?Hn^Lc*E1m8QhuKnP(RqJ*-{%6+OV}fhMfh9y)MhiK-i*X?c5>q z4<1gmFz*cTKN|9t?2O&x#_OBYVR}>+lU;xLG$bUwR?5dgt9&!X+Y7Z>>-!$|nknP< z*k$QVq|N;VqsIL$p;*jU!2tYjbb~+@oaKG;joZbS6O!DzdabCqGT$_}O2wq7__UuHiH~?;N`3R&jUID{P zjYJjg$l6IZmcY;X*(rNkZxY%^&P@!cKtFbrGLUb zw41R}fkNg7^cv#b*(6UDe<^)_EWy>jRcv=W;nDgSq4DE&@+7av=rCLH<)yb?gkJ^(8yd;&!DQh6WOy(< zB{quNzr@D_rP1t%&lz}WCYP0Cc7o4xVSQct=@Stq11Th3#hB;eDh$Asyyt9$UR6W$Xt#03SrIOi@d9GLzflUkU@9G&eRYmzGyHGaFtq|vIckIPP=R4T=PhYY9s!hXnTnw-!kkM9QDqwv z#02vxdowGa@eS<*HIjYdc?kJ=d%A4s709>>`z$n)_hP9UijEzL{Du~?;xo-jbwbe) zqu*=&vN3A8!$Zs{C5XapLc^xlyBIT-5t`U(6}6x0|B^1h8swezX^?kw{@xlYw&C+t+2B%=0e6ZW#1~w!P%yO2|h;hN^>yd6D*_%q=I6zA_qt=CGVt#5qz@lA?hy%NV8kQ2x=< zC=5oRY16XI@V)jX6&62i1jHje{M!z#+yBcmTc2o?oN!*@q#B1PC5nKmTrp_SX3Agq+Ef}r1LDv4R_oHuXxDO$$A%XTYw z0F7(Eglz|WbQ0NwG1h9p zlt+G**$O&qRx^*l3QxdLY+%u~^!HYX1xlYZ;SaxO+wP{VS&#=a6V0aO07^SDfJ`}A_=6qPUsZB4afm(s1<6_Z}gz+RZ?HCDe#-^$AOnwzlL z`!m*Cy8Zj#Ymy>p`nPB4YxLssdU{cg$7r5DdwQ`OkG}O->@^o)j4qYc`*~Twq)Hx@ zsD4FMzvhT($30gld5@b>^z6vxv%%!-A-xc&>~(kzU8wWxZLzaT$r>>k3P;&c{5)00ZH+L>uR$&Z`#9}LV zEly%Aoq}xJgfoIU-(_a8-1xRI#aNfNLl^Bc7-sUrEvn-_GOrDHjBxM7arci=@`a&U z+E416f*sv3_=tiqTjZ1*2mji@u}PdPS6~zIj`3n%E=kSZw#QobbQ9(he;?bjA8(1BS)}ZA%DzInmE7BK_3-3eC>+Q0>y*Fv z@C;88&sVSnE=3)Z{=l59t)9lv4}++UzAv3_;>YYN;9urlA6Jw!j_gNC)HT zY40RkapKf^UX`2Ke7hdio#_=!jSRa|2*Q3yQB9qu(NiLpl`A|Wpe0}=V6$ylCtAKU z6O9;+=fGN}s~gM=+9L|raW*Okj}&VHi*g6F?n5&qlA#UP6V^US1J{Yq?hWo zs`4x1m=@(b%ycY~N)@`Q2w=7(ZwH;fBx;hVzjtt7TF6L6Y$GxAU(d5;qiqV!CvKe9EKF}NeU_|A3HKinUwS~f{eP#ryK56{;4W{R-t@QSNVL$-Cp339ZiCY zs=#LHeg(eeZZB~F7mdKHjpv$5zG?~ZDq9bZi_=sfK3mjx_COK#!9B@`O=1h1Ar@g* z^bW2;tj>^D5Py_aA3C{r_Mr*@Q7}fr4^AEvPBA7VA#)dRlL?5AK|^vnw{*y}5zN#}|$#+TM21q2MfI6$j#w7NG!(91oY! z#(5^2EY%Qo99fwu^NFM}vB3NyTVon2zNuEXKS&lfAiQ=|JMLYzk`R~CIF|=ZDIeTE z^3;GYnCHxs2~Zk_8j`UcA#ZIotP+%nc#R@eSuj+di_#&w@P5EH^Jc$Cc?clq$a1 z06Cp9n$W^z0v2qF=c)&7+P>Q~LW?}ytqm~!s~Hvq%lyvi_QJoUGVBC@Wi&<)`}Tmd z{`orLq@HB>;OzYDt^&Xp&`}SU>vEZw34i*0>0yn6(RxI}z=UqP{RiLg_Huh_-GT8E z&`!7Vz}X?X9*<*8>CWS}jg-75zf7I+Y=ZsDo#nZ)JgIGrf|pv_TvG#$P6u)57?3Qs)_ZZ;ql5lUPg^Y+s;4wr<3KVq(tw7^ll-eOzqn}sg#}Gux6THhKxm{g4qAxGdRck-b)$Y(rrPb5XPo0P1T@jKEt#`n>DpU z>>!@KISgaU5eUNoU7HT$OKg4(kT1%htl+*$=`b%a-Y|_ZU;3i&3*2EG%B{6-8cd-^ zw;8Pa!^0zVBw5XFvWY6p^gxjZ8nk--Y&u{9h)_dq{Y$h{vl^XX7et`>v<)v*Zq~Ds z48C*;!>~QtBEM5Gf<$#)I^|Z$wBySfIe}rBN@t~~-YPAKr@d3980Eozmw4%d6Iz48 z&V^n?u9X#L9@xE@)-cRrH$`glHPmqBJB;hhwITZ}^`mjgQWj zP^;zOP)j5S?Xg2vWb&>%6QED`5BHMO{bL_XBxoazB4Sobn{1klvh{VAEsX%&CnyI; zTG@R1ffvRd8IGi-M8sp}{n`F0oGrktr%i}B|Ex*T(c{p|8|JCCPrOxU-~LVF8N$Ka z1ayvj7-qNC_}#%JDXXCBvbxz-olSE_JIZ_N0xMe*=M~X3Q=D;v;*AC8=M`E>XwFfF z>5ek>`ng{8gG1Im#%c z6B_&Yv^W*5Lq!|~y8OrZ;8XpeTfgolzhc9~8XA&&GDEvA9nV!pHfPtvOAb#txqdLo zCj@1XBL-)I5gj)*w%$xk{4(9Pu^0B~3;pz)wHSlMlvh-DHJECH1$B{)%HmF)`uMBo z&pv(h)zdd@9<-u@!QS6Ow6NRy^Goa8!NK0}0NMt>%({B@6Ke*W)fgMmguv5KW;lyu z@8o=Huidzl|Dz0uS5mpoq0Fpr=(!*-XQ~qrSVz}CR$7JI(6|az)Tc$#X%?HZ92>cj zuGRS&Ju|Tf-RFzp_VM-HRchDQx%H%U_eh-vy9_0Fce}u{?^JVllub+8hG8(P57ym} zw-w7X!(rZ{oV*+fAEop4r=LA!K%)i+iz}ed&D-(88c?c!0Uv~wOw)on@?WP{n5q9` zx`d6(h&HxD9plLr?oFd_S;tZr?g-GlOW6#a)F9hv`T`Od6=QMV5M_@;N)eJ;Go5%C zPXo%7vqm=Bkg=I<5as6iCG9ywUIWE;MW~iBQ!c}OyH~s&wkGR_5d?F3v~d7+ZdoCj z?Sp~F{^)F5#6XUP@ify^J;U?UPAh6(yArPBhTSO=|KSnC(~{v1T|XXj8O5F;K^QDQ7Y=R0tc& zPoj0SKix<+n+2#CDhF7}3dL_}I;b4y&}BI_l2PBBRj$j0Ayx(vG+Y*Y#Ty4@I-`C z#d+PJE--T#2C zWBlmUqf418I5s^Jo^e_gC9GL^D$bLgBwwcqDJQ^4#tB?5Gm8^M*k>)#_`&5O*;(Wi z<8>$k=SoJA*%ZcRTHHtu#W)j5_^35_GbUC~O?l~ccA&R~_HX50|DC-z4CwpsD+-v} z8`O3&HI#M5jbRt5TV0Z{M%ur-rN11n6VmCUznGLo80?eOsd?fhr*?esg18dlHJKOP!Z+Mpt8J<%rIUFotkvXzb0h47QUiBZ~EI zl@&KDi)mKH9c4PU8*_yk_a_v^*+)rPMY0fFHG%ItRP9+;<)u5Y;94hwF;ymVc8(g^ z3kC$#J~i?~Pd%YZ@}i0NI_z0KELp$xF!?AsJ%vBc4w7FahooKIq8h~wmM|;!VT5H` zUP|?K&L%S-^C#T-PS`^^wYn>nfF$e6#;jzUjFu*!!8#0w#^kG|Z2W>S>oA*>XIe|p zW*d@-Fw#h>NuVvUrD;$OjA+>tJtSD+T_LBqnI8eu+)JF zgJX-81P*K7~6mFz8Tvg5G_8GotL1RkzXKFg2zpH%1$*&`kC%gqcE+<*jn}omm#VeWA zv_)r7AUM9Ht(zDxJEldC&-QOM93g=-^=+xu<0R@;zCgUKk)lA*LMyA1225KfB?pV^ zWK$9rCFCSx+V$T7+j!8G9rDs2glubcfNLd?a9RTyBS&r8c!tadnD(bz!7vgz9IBXzQ9oq zBl%x`ugR>oeM}%6u_Lse>LQ<|?W9I+K7ahzBl~C)k)Z9PFhjkrdHLF|0LIXFHV;-9BS^!E|{nc<(u2lOXh zKc;(*Furzta!P+c-)(?sAGwlYAB1ym)!P`jUA5$}(UJ$Q-ZyR4OQ~YpCZXIkZah@p z)YZ%_Iv#Id^9wF%tBP;`jqMV&P-AstOrR+Bci*oemG$vxR=JQO7y1=iiB)`_$IK6V%W7nb<@$jms15p5HTuvp zRj)KrOsGR*nm)Jc;c$G0o?PE}Rfe0c?o;ZKyyg+^`oiB@Y^gN6Fo@hViFBcoCSi-E zex9dS7>q;YttmxiG}J+E$L-&xedX&Vez(cT$$?AKq#@HXYh7^0eZ9sBINZT2Dxibg)DN|ACyFs3!l-7L|2gt3ous zF`6(gBG4uYpjVgGyh18ORVCOpMdG5NFBwU0ptZ2WlHY;uYG@BMKD~A2s2(Dj)s0_i zRCnNsm#1Jxk)Ve1s!0{nnx*iNvlNJi+GHv0Y?(NL?K0|yFOKsbQ|$pQR`6u^%;!-7s>4ESQDAbh1}odf?q4YN ziBV~?^MR_>s#{)}+bccnc$v0a={b1aGiwYerPT48T+EKrH(jm6gNzq@LtE4nQhrzkQ|gEaJ@l z>Vd@k;2$WhBYJ5%*W-QQo12Ye3ncJI{83v5*>J+1es|`aLEo2r( zreMi@&XEked`fVOW`jI7j7WQ0*ezb!l=P?`Q6yEn?UQEZs_0mgjTEf#EXDP5j`76A zgZ=g&?u0TT`mHm~IGPh2(U)Ru_wdlm2wt<*?5eWskyz1e2`s$kD0&gZ2;C%CsER;3 z%A7kuv&YcDD28m$;KLsbWllCRMh})B*uG?~MArgyiz%fNpim*gzPZiQ!b5 z7UgD&YbKrE#wk2&g^m%{liW8{REn)2rg%ZqQ6*G4CaK1xbp%icv_sh-YD(yvnR;NlQ|OCh}@hq+*(h9|6%y zhCeVCh->&6>>Kc7ywg&-SZXuz+`%G);U8CRY2!`D#x`Do_GPryW#`~?#Jb&pS5XVu zH#n^hQ`bBYgS?~N^0I11Z;G9sEteFWt?bOj1p8#G+`pgc=$;B%h;qL0DnEBGWNxT}`u;-Cf4+ zfp)_xf0frHD$8`<(LNS7=;drpOtMdm9>n`Vhy*`Gc8_~OEvN{f8CS!eaf zoF?CDbjWRdHs)KoEjKVoWi8d94|AQNF_cUoj!1b~x*;BAyZx6~71%&B{B^qWDIy$L z&fah5Z@S2f8#<;#xm)pSK%0nCa*m{l74JOra!o|PQ@hZ#=^UfR3^&f%{xz(02^+RH_=8!kur}g%>!2Cx-Y#u4f&sx6th&Oojk^S( zp_Z;hMsjmE*H35J-@MnOF&BYDG@&+5W6&a$FpzFu%r$D6PVy=tYVNaqx|YBAYkATp zY(Wqh2g)=t{5o-)07k$O3bF;o!Kkc!o?*fa&$P{Ajsv5-T1T||;@L_rtuX}X+49&A z2{UGzk=NB|_Jl`qw1d7)uB@+PFZngttiMTqO(#V7FOKWqDC-sOKRkj5STcQqyVPDX zd?1)VuxW=Xm2Yt6K-&XM^4-(}6O-v=`VkvmZtDS!{S8*_6{c+i9{b98H9l28*qCTP zcXafNzD{8?&&aP1%QJl$f{6dpT<29b*||)Yuk$@HNvd=PFF~{XGF_)|J>6{qj;n^q z0g<=Hs$7;EVc;gGcM1KH{|Ifg)p{)5ruR_@$57U%Rpuj67l;>GdL-k+W4oRxIZQG* zU@L;t7`r4F?d>(18!p zpO+=V8&1bZ$KP*G&JWMv?+*@#hFnoL3k>L_`EIz?`b~E!e3Wo#?Kc$kU<$9D*Xgbd zWxUPyyAc~P8>WcD!$IBl-FM=zLw&Fj4#Y(m+~Sm@Wy#Dtngy{}dK!PMwpE}uHE38~ zdkxyhWSnB#k)FPV(sg4~{~ahL_@Hj^l_^)>o1J0DV&Bsg>{EOWef<<8#Q@0S3C`X+#?41APBSX`%RBE;>RRUqN`<$E2$)Heym^o38~ zdB{`+V>F1N5tEUy$|SE%-a|;QK>-)Su9+~)HbSJwHj#f&u047PLm0lT)80F(DEIxo zWgeG*6BNK}8MjLfRYbv&48)llv|I27M^ta6k)yO`e>rugI4OOg^%uOz;KHAe`LHH` z*SoFDMPm&bOZ{yg43UFrk&eP7{K_966*tnP5g9x~jSQ0f`xs&J_{|2|t6#hrocweZxvAkqg*f<)Lq> zaOiXFyr7PJsE$>;B$>0R_2P~Udgz|UaXZ-sBaJ4ui1yvmSh6wD*gDY0-eXTD0R;~o z?Pw9ml|cm4Z&MKHQ=Bs9U1)i@H_BkWn-G_{n=pTyts=S^=6UA2uASDmD@Og_HXB*XtCY3Q( z-L1Q=Hg}0so}baCd;8z~K{s)3YS>);4H(xn6raNN!~!X7=p|1VIkXFHa#9T&Lr-Vw zA-Wi<&BzLao4F4Hd?~Kz&r`4(vvrtS)+8gaCl9f44-SnqAivAL6D(14S8Xd5!xwn% zqSSk~S_6V8_r!rxB7*vk-t`L{{lqVD{H|Z%_$PjWlXv|BCqMBEoWAQ9IQ@xV;Ot$$ zz}Zjy0uSEx3q1IVU*P;*zrguV`vSv*cl-jwgP-^XhVS|XhClHOyz8BK_|xsgw||D= zJ-K2hYhZg8B^Y7IQ^s@#Ra5YypJ#?*g860E0Go2YUL?EG)!Ldu==e*TiHMeTaP#Bl zGEZjp5Bt^dz-A9x5uR9D5DM_%JEEwXLm^T~C7{e`2v>^lB=@QIIqH4ovqCT@oQ7Xm z`GK}byZnk-Wuh3FPZaN7#qt4g(ILcqzYV`czKp)W?H@9bf*I*r;?;()E=nbZ8xV^` zOpu|XC}+$57{SsPrERiJc|>_Sk5lW9RR|97;M@%mubw?#sag@syq}Z(ZbI2GBq7JXy8jxesp|12uLfX$%C4qJF|2plmO#AK>KP%D?Z5~ zCx;7mn3p%K0FS@4ki+^04k`=emj3xVyvXs}zQ`R9kLh}4oDUMGz;>bB&ojAt!O;uZ+w~{1 zjXrtXMxXqS8+}N3Wm6DEI4Nz#LJ5gS4AcH3xEsZUsk*?5Stec>#)QQs`OIWDVdA3^ zKsSm|S-tMhZ80)6V0kF?4pSY`6HayzUWbX8@FlF)5vQ2&{mcIPH1{L7*Ec6^c-g)V z0z64I%XXl)z5dVlSU*%_U<9hr!dqG~2fW2jxM-X}V?N(3>qU9lqWl zn+hniH>T9SCEle8Y}8Bwn~`X{i_(fV<`r2r*|1k6>qU2&ps0bvM0KZNVW7yGk7MCS zf?W7ki3(3Fx(UG~9*E7NNH=S-%>_NPovR$>>1iC-2^i6afDOKC(`O$0{07QX+}tt8+iE%=!ZJBLKV#ni z&wuZ3nY(c%r|q2oy|U95xNy>t)pblxcTERuO&;h`rC!oYhqBTxbI{6DLjy+TdM?pv zrxN}ECI^Zi$EB+E;h40lcMag9J4Y~@N+-t%iJN;b?~M*K^mR&-Jlg_!yevl<9Pn>a zJU|@!;??oY!e|4{t!-`VNdd$T)J62Q6ux=7fl6wWJveJq+}xM_$Yi>949JTi9MxEqfvnA4gE4F>k<1IemJM+d3;31giZTJTVXTkFeXD|M1 zUAPssWp-j$`m~9L2Y6aNAM|G#H|UWXLJo?rDRlwC=SDHrW+1;2@TKoXF4A#D#%r1U z5sEku+AuN(wxm!j@FDKgN5f3!`-5W8OfnREj#DBGfl+{*nRwh@$vILq4G&JjaeBWy zf7Zp78}K11`dK>3ap%8a9Np*W>sU5K;nkp2!pY(Ibh-;Ms)ZJrn^VRFq5aN&R$NHz zxIry5;Vk#}I#f|(r8d$itIBa!cV?_eeM2OLSI5fnyv$wKp;}x7;jEis%0au>)^EIp zRBlM4=5N3vT;W^7TtOpcwL#rjN&0tNwx=}i7`+=tAp_q@6W}MU{JC-UxZVt}DV*e! zby{8Ggs};_y}EKFULIAI8)zLlTvD)=^!J}kRIc3=XE-vk)9jOZ%{!x$iUH#Uz6_#; z!1i6kk*h3cguT4|e}nVOm-5wuBa0HER}wbv7@Or>EsNhREDRA=kUkTK}!F4@W5kN7J-6%Rk!Fdz%QX!8pRa?w2TNS zEK<1s5i$hloJF)dusKgk`y5sb7M6}iIMTw&d8?p8-x~8Rqztu!T;?)d$#}NiFwCvgeRO`PWKPs|CwtJ{xLk*XBxxX zV@BoA#))IJZW)o!KYyH*dJLijgj}RTXQiuG+Tb1 zZ|*;}r(?yLqsVev4#n=E{rv~mV2k1mKZj)s&d28Mf`jpkw?7nrFNGuwloj;l_aAVH zj$ohl*<17b8%N?7TO5bOM3>)j^VH$@MgPHK^B3T_U3|7VUT)R zY;f6_FJLx~^6{=Sit(I48OaDo>`aK}V(7b8W_{L5~bB zNYVsMAJ`aQmgCDm9N4tyzSEH(jsm6eo%2|8!X zOOgln8lf%+4cXDXa6dt}4tyb4b|$;YKM9uML0|oF3qKX;GJY0%qb{mEc?w?%40f1d z^-f-IA=pzxD?@-4#);bc=(_jj}1OHTWa0%zw#?9DErHAJ`??9G24fx+~7A z3D^Wk_!(#h(3xIIPf}sW9a3}lXr`PminY{QS&~F6XEu0%9G>nB<#=} zO7Tu8q^#CNyco}hR{6HUI|V6uC^m@Pbnc3EEHNJ{u97l99Xiv`{zJfy%TZ&KnyBJ~ z2W&;|fgpZrfCcu>u*0rMRm+@e%~rE@ufbTmlDzBxv2RIl1@98*1*fUFRs_ZU68~a| zR-3w)7R}A5Y1<+&XD105M>Vu9IXyTSkCU5pk&({ppjik3V&)O3Ju}hp7HMNC385y!s5K1*J3!) z51&|Xz_Y={#l4FQK}Hyu(JI5h5K}4OGL4R;y=1YPJK^W#@c2)xe*8d(Cx3FUj~dR& z;pv}P1E#PU9-jS)RZm0v+*E%dBUwl^bpUjpAvGnss!S8FHEoC)KMDI`jHu49SWcz7)Wj6)fvIobv|y0owd@Ce2+^@aykJVn%to|iw3go* z%45MVNy7C-c9j($!xn=Dpsv>%iz9R}u{GvtW%)SKb4?#l{%-q$0k2hgSk0x;I^J*upzC0b7j`>=L|50P7 zWbRM&`x@z5_*#=Hy@vl3a3poYVc10m>p*=$p_k~iw}#R+4s=+Cu8G|a%3C)<6dpo6 z%Vph=H6^eH_}+8`YgV~L)&pw1ro@jKP)&gcXHrS>z7chBYyq74A3wzKZy(&=Ba5U> ziXgO0^cOC&bhc53NiShq%kZ%wb!NDaB^z;7TPWVX3DJqXhb21E!=(46cpS<)-zi{8 zRjQn_En_+`jF<7^Nnwg({&Zf!Tl^#Zi5w zE}_a0JLw!N|Mc$B_@M1jhZXO58ZHN|Wu@XsXZ2P)xf+fVo9fyAfD%o-;{B?%>n1O;q4!iN#*2 zM->XU?)kDPmw7TiYSDEJ%2~^?L)FhuY<22-y_rmst6>`nl9q5Z3k7_}Whk(iY#)NX z{d1i=bR-N*jt_O-w|l>#nH~7arW6rnM~Q?qli}e$8n~uF)~;gSd&?;H@xe*5T11eB z&ttndE`)A9j&W=0z^vLjzk*te%&H7&Gbj`p+Uvnz;JN(Ff&^K;@G?(tuqTG0mk_lopsj~q}r0- z>Lt-Zedg0aB|9D+l;N=R#AXATo8J7W2D#Ptujy>n=4)=rdi9gNrgvcR!c$%JR|pR^ zgwd%&AU5CEv13Ju3KT0>_ z7Q-|r1-R0642+<^^)t;`9ATAcBC>GC|s68TUw!DIEsQG zaCjtwYBuZIVAY`P5N{Y4^U(sYHc>|0JeJDmP37d9(wj7 z8O@p&6Adk0RU6wM&0eFlLw9a?CZPW|MO}3D9wNu^Gs9jOnXZT$7y$H&vwb`X0}XQ4 z`BA=DI zw<#+Hi)qz}W(&$?*Wfn!-I%G2$M~4156R>h%2)FoalEkYhYN|;1LL5;mte|&rDSYUYY~z)EaG0X z)h;IJ3mOXr*G*t;V=_qxcsr@^3rrWJF2769i*mVrQ+zUXW$u^9b^7+t4!S0$ zmW)EkLy9!1Y#jG+-=aB(i&`;znvp04^;oSil6)KunNL@saAuuy4L%lrDMd=earNfmU1uphxxe7Khr8ZWcL_p|2w~=W~&G z4xmjbXqv|~8Bsz+O(b-xL@ z51RLQp-}R$Wn~fXGw>}NtmNS)#L!MlbZ#te#moyq%!{6nykeBQgkjq7{Dq`@!Jo@6 zzw<9p)?8NTtPl6FJMEas5OMAmovwea$w+rBp;(3PI(T0RV_>E-*qC;B$}!^r6xcLg zxUvBZFnPnwkJxXRaHnZAG=es>&fmw!JB=P4y*15k+fINNu`^IEFaHsU-6M`$2W06#F|EF~)KSK&;0h*Ae zh>HCC3|w}N^C_N-^W*C50_pe6!L_`grn0$bYdP@7l(_A>4#TiYTkB=UEJ&hF z*_MP-I_K$G>Ljtif!{IA1Gl0xbx`!CM%X!F(gKWF#NQ0oA)YL@iopJ4_O&flv!s&o zCI{wLhR=aOP`5ntn$TP!UfxV5j*@Yj7&$yNVI-^s>Et>Pu<7j&o*R>Z)^za1}U z(z)<*%c6l^h>NPrTS^hEC6?VEr=hC~qbjI2Jqt@qM>r<;L-vu{Lk_W)MZl=&hHuo< z$rpXYSu-kZ_#z|twf`rnQLT^rbcjqo0*W69kw(LHVpuatv20ff2bD;7OMzxt6{|q= z6`_(2Nb;{NH>INnF|x`Dm3>3ZR=K09R71FYcMomK>UvZ5xG5Uk_6-suTBYpQ&|!yx z{~v2fMy2Y8i~1;IIG>1_J$mqIZKewotFL~OukNCjs>O7d6sEaq?s_BxU=n1g#xh(F z0fUlxsgd1!lY6|%oa4<{v7o2o@w?g@tNI(tPFh~ECu#e$U^K0tN0p9>8ay%cfk z<-K?iR`|s6Ll+9EefYkj?zP0rkch$R@FoFj<;2Z@wDpxjTYWU9AzOT+v)orQos_6e zG0hFa>7SxKijyQ^o!JfG%q*H;yWR;Je1kB(woJDHRe)C)rxbSSTlN)=#E%Va5gp~% z$nG8PrV!TA$A6&2D>4+o!8Qde(U#s)uybOMxQD6zA*p95;G3v8u4%EJ1qbTrN4}9R z4I>t|T#28L!i;{1VdfU24umX{mk=#&*TF0Zllk_FRGpFaRKXr5!{9ePilQzm4=vSp z>s;nZFMpQIde@4~<3&0fplr~uZBXG@q36&uAU&V4;Nt#~xCQk)=4^U+*7#-NX6N8u z=VYnTjDaN!gv`M%koRw*Mm5n;obIUe=Be!XdD3^0dCIC2hIEfkk^A6Zd^O>>`BK&5 z?Yj%=;I&QnT7HfMeTaQw^`O9SuBlEilZH)iHG4kMyLGBNq1Ov*az?}jTQB0>rdcbm zpk1EPM2B>kEm7Umt&{wdD@jykAclm5v404A)2XpZ$hvlh{qwE4A2VM$!%o=k;73Tp zSKZL0fV5esarKevHLZG;bA+q8b{r@9?c?7wbBkvMjv+u|Cv@3d?vY8BV~sGJl%LMr zz7^pq(Za1VqOPN83}7%jli5*LYa)O7wOl03M9pJ{13O?fqjLN&iL0{oGrhV;d6ro1 z)n_7I`2Mlw4`+RExmPmu7XK8>X+Dn|e)DlB*hM!#wDmVHV}O@QjX~h*#LVXWc=$+7 zKIRyzAgbM4Qyn;aYuYy5zP%gjYw`txzceri3@E#QO6SCIO4E(4K!e;*pJ+zip+K2> zfJU!4A8;D1WW=M#5p}wt(dm8r9gxMb zQd6YfnX&QO0Pptbq>c#T=3uNpi%gDXLO&paocqGv}MxF~Qvw z)n!${c%yZAU{u_EeSPq76xP8-yD*Z@wc*;+G8{g-C9^y-&<}G;mu-%_7roS_JAd^; z84>c=ero$o8ADdZ>^bi*esw&Ri;;D6W(nVNB8Li11KcKSFI&lhUfSAaN zMBqs+6U`JJ%oHJQmf}1f7IXdzD|Ya8aK;i>L!{zb)vsO=&}8`Oq)8T=-P+4iaJM>e zzkwbo&yiL5yMQKI>Ykc0SfG-59M#EVc7z|-19@c4MBtjvqP%cJDS=nC#kefW;?r`{ z`yK>GneT_H&8@)De$-?EtJBFiU|uV}>c~l$c(FIhzU6gK7_Oet`{(uj$jTBG(M~nk zL-$cL??}qHW`6-m@rs1oO}3i3cf@;()VqT1WY*xXnYc7E=*;m4eru{Lb@J0t$s!W$ zEt`R*^9Az(JoRx9#Za>86c3=Q3>0PM+D4%uNJk=ADw>|zq~1@5fvJo(-v*#}vIxkd z6sS)ENgxQLw#|W?Td|cMolm9UQ7|Ro;K#JQ>;rWf(Z^}YyjhrT3dg?~TwdFb`k(}D z_z+`*P283oMV5WFhH*HMByqukRZ|v)Y zP9u*-okq*~;XX|}Fi!;-E+6&7)!eIdBd2{+gKcj|OK+cdrw>iRY)wg&ejaZIEy4=-5#+5?val7Zg7*=`KP!aq*A z5s$qzKb2NfnMNgHR_*I)MSIK2)F>cjoflCBE(mX@Hhv37l+EEf&E$i$H|CZb&vhV= z0>TDmobFbd!*f^`Xm1DFx0)Ae3NhfsnmWG;R( zN$8X~rU}Ef9t7qNbZ*&`<@F-bpxmcuT>*NEQ3@BSV+iK|Sm>nY5q`y1EyG-z_#;px zL#^&J8iD`X*E5>irMDH`0p*z+Eoe2Q_HL~i(G#@fZK4>ViYDHMD&y}o>*FfD9h(A!Jz`gHO2^S{ya4i`fDdMG$@ioiR61Nz0zGYmLL0lV<< zhrTJJ?la8PJCqW}dhvIogmz^c#GVjWAlRc#F1+F=O=_kjg$pJ-y2S**WW$TH5=O(( zg~7?6SS&T>P33JMot;GW1@$^DQ_*4lBu!*s&1l&V!cew6M>fS!msf9LaiK$ur(1W|_Ht+u1=FMK=ZDGf z*iqd~?%vUJ`y=?`Oi7R4a(F(1_1zw0Jr&DEPzXA>fNDaxg($@9&eQeuIpTk<|0P@t zX8#>B%;`WwDuiogcvC?xbPv|c_S^Mb(}M5HsO^jt4|+FVHoN!1=P8n;T`Blcz1}h5 zYXzu&6tN|eqr|h4VLO}U<1g10RqAZmDY}$!?t0b7u6HyUj*VERZ9Hx6 zQ`k=t;&V3=9C}hocz*xA?p}c^&mhka+UUmbO1688bo4#lQv}u(fhe5uRRKj?rqS`z zM0Rov4CgLKH{^A(s=u)5SPL`^7S!dMTkK-95g8rsnljZ>=brvJ{lR&IQ@4NiJtNec zCt4Yvo`Q9$QS#593w*q8LA6=%-DFOtaq4#2(IyxQDexA0;(9Ju;)(a7e}O|Ml*F*8 zQBMRhF63Dck9iT1IiF(<-CF=5@)eFM7(N-u zYsqIsjKO+HeAx0%+LU#4Nop<(RC_SFzm}D+KCp)QK2q-gpmL@cqOJyOyUYHhGT(4< z8<{NzDNf2Gu9WJkD4Qj*QF!C^UqE66UU27D?`k&j^Xs6Q5q)!pzUqIso4oR}&W=~G zue+}SzrX@(%XjJE!<%SrC4nnTnT&{q-bVdRllo zW211v4P1GCJ#CvI;Cq?_dn3+)OuLN7nGd)VaEpiU<;W3Rn@!kFm)$S^X*rX&?d?5c zbxV(`ridDYxz&c*Nm_StGtU=PSU9#DuB`V${@x9m@TJlPr5Hnzps}B30`Nx=A@n~| zG=#eW*$X}r6NEUj>g`%kXBM℘%3|G#(oegeb3>LP~OS8j2*gNrOU$JOsE-h z!b}1$EOtuR8P>2-4F6Sh(OqNstHSwabOBk^1nR9@FrvGs!``=r9~!Vkz=b(!+)k}~ zhcx8uK)NkhWkzlJ?$4=vUT{H%Ze(2Xo3?FA;kBgp zakDJ=ksDz685E#9$1?1gf+*?Ko_5fBA^OW4Eb|C|9dtS^_k5FxQ?$U&|8*LvGPwx% z{ClWl&ekJU7FZRJ$2}5F#e?}EVEsE2tz>4>ZHiu>olu^Q5yqKrX?%y@1YCX;A04`=ayGM?n>c*Qx2m)fa$ zQPBm}?Y3HN0e;Wz6=omr3V{I;*1Yd~oI(Ktm_EAs0U@G^_rB{H5^3wR*(?*-Zw}&v zQ!;o7$wPR@!#~Nv?M;^}j!#=-(rBX=B0|d_yP23bsWb%IB^41*C;%bF)KmOQHRQO|RuNWH24-*6Rr7FhCbde1 zDNVx-5jYaZH{0N&Q#X3(Uv}Z{@Qq$yUGWv2&An$5sj+LPgQ)*f6h3hngy)V=LzU*{ zCe!HzTFQTs$AWKVExon)+VOlec~AM%;a@D z8F}A>&D1SL@XCvg#jvuICYZ9b-yHmDN)gC5p{WAq{<5gHf$O~uaKInKHG-gSg(H!{ zT4IT*!vzFe=ld`g$qMw8*h=LAjF$P&ij5#?$Pb$=uOQ@-2C4&mRyD^NFsG1FpZ_`& z8soGLvEme+8Clq7GI0q=1h-Bo3v{QIN)WkUQ_87#IN3upT z5@xU7VwyOM8zI9H@B2sg8iiC0binkl=rMw@^#JLincK9vxW-evl9^)Ohx)ep3u<6j zE?3o}ahW8V1J2$&bzk<~-(4k<3Kcf#JIH{?&nPUO2&Z(S-f`fp>*FSUs4) zq8U79vX>hk>321Ci8w~js^~KDykRvodyvgWe8O~Su4JStL{ocr2)PJ6L?%oU+CscV z+ogA%KtHoCUJRxQI?+GiFj=@nQgOdJ=6Gi*b30l76-GsEl3r=Wi$0{#w<%Y(V>8kmT}`ki#A>m42YYwHECw6b$C0r3Aw?w;ee4& zVgSmet+#M+R)4<|NK(10jB+&}B*kRl%{9l3?BvlgDI(^Q;XBD;Ctv}^yGC{|&f)iH zm1b?^(AZ@8WM!v#!u#kUm=`g-j`x$tTGbmPxAwW#y<-;AYw$DFh_0#vqg}h>!_5fH zFMJVrKjza;ryBk!L(cr@snRa?GV~7ErqkolZm#_`xLzCjR?==#8>15P(-ZNlVEpe0c z6P?THY@IG|2%{$sn!fSPEGd{^LYqiY{g4u+eQDduAz<*3^hXX(u&~q?mhA9EmxN1MIiyQ@;%Bvn= zz#jb9I-9z-EJ`ENJ@u52nQ=tMrmqDQ7{l$*UVkr1EC%;3 zp?eF6hk(W0Fb>6*Q;DD|J?oO*~tam(|aSb!wFs& z2x4`RzY_}MJ!rIGIoP~}5f-Q6<&3YFB*7|s6>lI;KAf~vpAAR`49)F^7 zPj<^Qb-IMJKilfL7u>yaVTUXbLWm|H(4&4Q1qNhj6zVu*_~a%FA3jZYk_+rvmB{fa zN9?izcih~I!h6*$50B~%@#d`tpM)^Tn~bRzOAVuo%R|@C(=tu7EeW`Sbug%W*HS#u zEm3k_qp6ciNiohfwoC}gPF|63V{CfMO;^?6FElM!*Ev!Is4_41j1ClaQ= z?NOd;ZDRmLM}Q`6PxTLn@&=xTKaS{x|8STi%5 zEHYMD;`4#=5gu+H&s`a+BYx>{Y_{wie?gd`CfmY&AWd&=d)_9}JGS(E>x>|;DMdCa z$bh!m!5K3LT8#3vIO_3^;3oWuo3pBo@SauDhXqZh4i6+bEbtwy(n@$SCHO3OfmoA! zFBCsV)_hVeFr~Rx_(_%~OK}{))9e?3R=gvX zk!N@1|770H++NAJDrEjcQ~+yw03p0@EeA-vQ2R=t)2O3N;Cqr>iQCn=3c<~{s!XoB z%hkK@hv{t%3n~qUeU3q`r`pk}W&IVgZjBz6fX4vI)@Ycz%)N=fXW%$C4SQO)S^a5X z(taghv6v%zMaUQ*eE_-8bjgrlL?axe*a)f=n^NF~>Y^RlREUV8P#9zild4Sj0mb`= z5P_0k3^*k5Szd!Ju$7=-$=lx6pddH(`Le3#Il=cJpLE@0n&&6i4SEX&MLZT)^vGATN#7^Naa5E$2?yGyP#M#OqcA}}OQ z$&4f~xAe&s9w;9TwhhqUGt>8)v$iRgQ~>E)k#q3zO6oycnx__DgNLZS_B;LeY_QGm zcNdo^*mGB#_35qJ%UK*h)A<&0(8b?ms4|L^AHCaz0U? zb&_9QZlJHA)?Ed8GQ}G{QpK4XeHzGHDEbsMmX=lK#Stg!R&laVRT)V+{Z2D#N5=Xa z!K?Q&K%6%6aDN?_rdRi74mxQiZp~j;XL3iG7x;@M48`WX83q(y~w zeyUc2TQ}GF8D_TQ@W9WU{_QD7Qii)5)uQ`%=}&H_b)LCLX~56yw`mR%g|)4#{EBMk zZe%>m^x9ZHRaSsJO)ltFhC_kI$cmJ(XWTCBp`9clc@sl`W%&`X4I4wedb|9N;HHcP9Cs%DXcD%epEb)J~a2Qk;x6#N2y4a9X5k=W-{{rs`n8g%YfBx zs3-v{4wewacx|CKBOenWloK-MFd0PBEQVGaCNP{*TVaR|=e%D}qY0>f22NRTMV~;o znxWpzN;X>uC~H`q6lh?et|zY-2*UK=+rR6wB9&*AkUI9ok+umV;CX@DTA0Ll1!eAL zt;PqAeS6lO3&FoI_G*_7YPh+8k*3|QGSHZfda!e;5E(D$xwiT%O z@C#h47N47U+~YATSK}+9ezf(JM-!FdDG{ufQ*G80u8QKe05c)+{=QxaV8tNJOLfz?y#uXF+6KS|en7+~@ zB578H!$8vR?|Zx;^Yw>R?UPWH`Kd)7jy0}9xyM`Ascl+srKFlNMWWoszlpIsZwwVk za*~C2&wkdSBW)gw&0D)n{T+zf0`Rx`0#3Z5Uoxv4+<=zS?`ZKyU_1USgdz$)<*)nK zSoPs3T|}`j@lKNoKZyqo;GSr{nfRdR z3ZXCmv4XnTO3t_DT6@D#1Uu!lNw~Brq;{>MwT1mi%NUrRX<;PT3XEYacd@TmMlm|Z2#alaj4z7{T~H3cYfwZ%++;>mgGY@niPgVk`%mW;E8ir56+y3zcOaVaHw{zKPc%e zR-H_bR}M+Q<6m*0>U+z%LJXap>@%oSGOamT+1+=!Q&;wn^(dv$wkUVkH$Bs5mV1-| z&rz=onpN>*bUk96*67mr)HXWnj>t(yOEMv`T7$WIEG8nHrnN>Dx1^Q%cumUFw9FV& zBx)K>v>_Nf`4Dxc&|?j#W}4_ApoC>(YHT(P^ICD<;!MV_d(g{BcJ_Rff+%XKBQYBe zEq#i{BBlp3jM>Zn&l*v|L0zIJLdcKS1IcMo3~HznN39(ciP1FXVG|TxdQo$pU=YH* zCcs86I07E5;M;aFA?&_31oX)J1&*LXZ{n&JOnU%02d~kIJWhWuv6W6_U?J?>Vf5eI zUcrZbAzAOynPvA@!=bs#=b4oWEyg@b2cvVlSMP7&AxpTP@4uCh_iB~88w@uzZ--V> z*fayKT*JPP7Jcqb@Kk6Y{9nR!g%)?2O6ClGVWR=HCRW%OwcqpaUbB83GdUvMDA70r z@`eXvSpqWwGY*l5aPU0Rz|Kg$eG&cJR7q!UKd0~b>oraWx%UrDoqnY)JT6E^u7|%> z1jAZHg90n_iYq&7eRD_JtG+`~rnDD>H>0H)1%O+hD=&1uWbRUGupP>D+MEh#&fF(> z4gi<%tgX8Xx~rCg%SGK8RApBmqwImKn_JBt(A4v6eY5K7r&ZOApUn~OMwP4@GEbc? z+6%60M{NJYTi1mCP5|AvYh8yIvql@HLa5i@vT#fQJys4=-Ce?}i1BedMy)<}L#>MOc5PYQ{JMSLdg-2V14wh5I!0}S zuE|*6YkYh!YD>nft2qy~nqV5m{R0B7Cjf&WA*Ah~SoA<{wQ2#!@K`hLScfzw14$l< zH?0_f5?59SgBtM}Vg38X@BMRq39&*V5JX%ASlZ(~+g%+Ni6w0^DP~;N3vH!b?Qb}A z-+R5{t=2c*i#awE@GAA30pc~MaH6p9iCCe|E|CSU>|U~r5wbXpzcPiy%0Mh64&EVt zS)k=0(I&LX?98KD_~k9MPV;yfAQL>|kXG9X!JAU!y}pW1w^zs(^n`ggWDk|hi_PWc z;GN3u3*y#N)ME<_A2)6vIT?A2t)qAbWB;xG>m@Og6*i>Wa|xae-I`gu`FFsrIfZw{nsyyMbGVJgwqb{`=J_^~$S-nWM_*yGw{}eCzM#Q=Am3w^6 zOlWX03sHIq79EGlX3J)rtJdCk39;Y^^;IeMrPqS6;UsStN_WC56M7LD4hN&OjFLVh zWr?u0IX(X?32VgPB|~ahM@p68cbg>C2;)<{iH|gZPE(O1yYnWBGclN0_V^T&t`|OO z#awOH*i-ul#0!<0F0OHeJ~Im>TY>}L=#zGpr8Eh1J4OanNKFGa>l#idZN*Z|+JPSOb5RxK4&bt13j(503|UK*l8!5q-_Ke#g?u z(|PlOvrEAGUi7tG6L$OkYNd zCrhl)^RKwFU3fU5z%pchH6pU9eW|ksp}l<}(U=b!dHFIFIx6@y(DLN3r*mV-8-9<% zF7hs)n75&TISYf+|7K}7jD+(tZXdD~unX(gbCFC0BhN<9@Hy^7(k3nh@d|CZ^*aA7 zqT=g7dt?xE6^#;9pm=Tn-3&?Qs-;)LA#hZ2#u>^g0FhuN?qg@&2-elg4&y*-UH@7? z^4-nFQKyrGjLuZu67Jvul^U#fNTbhtaw^%f$~r%D$f1B$&(5gpdTVS`Uqj)df{EYV zWPObx6B@I{pRQo<*)-7#$4u2js;8`UXIoTjT6u3mOE-Pij=SQf9|Y|clNJwRi$Hln zUT}F{cO>n80va??8B|ABcnbx)r`$FbH$dVhmi8HLMPj&=^B_xMKC>1VQRSI6p=D7C zvX8@H4afbKJh3aDMh*++^0d)F&&$K}s3vj9Vd)TCifB~4Po)t&7s`_@TrkE-zKE*0 z{azlIaULn<6Gr^)q%+UJvou`96VW6IW}WEan%0;ns;jXk>?0UOTb}gJwYj~$UDxw6 z=5=M$>EW~gzOj9J^_jJG{59o#eSN|E{H*u z;3NAZHR^SB{j;cR`boL7!wYp=_uU*0y+%s@eqR@n(T*G@+0ygqn{z>0h1F&6ZOP|v zipm3F@fn!d*YC~+9UYdZ@|Ku3qd~8_=^DK?&`!MJBlS*`5A6`s-M^Cuc*mx?WRgG* zC1Oc2*M<6_WZ?6D}XOsHfOiqDhtu7x+BT}vMmBEb6-8?;;Y|z1t=^=Y{4?O^ZU_i1=2Rv&jlw2c!VH` z)_Tw|;@aADXtTfB8W=IbB!L-|>4(tL6RBbu32_mIJEe!F+E#c?eB-BPy~Nvym3jja4XbV5K(v$Z`iSw^XDfEKcR{16iafIEgTo zvcZfa|LDYupH7N%_N~znDEkd3!itA7vA!Up{&t|pxhbr^R=@JjBSh5XV)@W@F_Rfx zb@TwcS*;;wd#%Nc;D{-Uo$Ro4*qG2;vuIwiM75ULWJc-0ocU=mc#(L#%2)!F*6AxH z0!D=(i!Z%z>dBd5`r;M|)AVpRU>g3=R1Tq2Tf+1**fs&m#PDli_lg7NHP0uxgT$zH z^po#tXE0{(XAuz?d2;}Wu3LZu5)KYHht(2vgesP1bkyIdK!`&Gj6d}n73$86uR2r8 z&5sq9PBO7&CuT{+5e5$ev2fEBcVwS}q|GB#%SmS9!CHUnGZL^LE96vB~Ni}DFK z!X*|MxEy(3sZREf%w5-7FF^+Ym^ZDv#~sAKQhNn_0Z$E9mP=@inf;2{V;Wr}(Y9Xp zwFUQFnDe1;TeAV9;!mVcPgMFVf$&}eR;E=f@k_-*hKIisI8UeY^ra0EG$}E-ogd;YElA67GZ$$$q=%6irB_1&A}Is+>TT)yvVfly8A_C%QHt z7xoU~-HKKGf{Ba|Z4Jko9 zi8-l~@@dqx+-2vY_>fNg21<#<;-Pj?qDF;Ac=btttt64x_dYgOI(<{vZ8x4pKvaV% zjT?+eH6}cp_#9-y-1~G_Wz*6ijY~1UZM(;d6ACb<7wz5XV~;kS@5E#xre?rGH7iSN zV}o^I^gway-%7L-``c~o@|Fum6uH3z)JVf%$YHNqUf;)ZdR&7t8h9Zsi!g%I@>ds9~P%=dVCO=zrc?S$!FoW zJB^@A$LCzst~T~^ePtAvvHPr+E`iqCxr&wFH=$R~s;)S=4SI5}IF4HPMQx55+Ere! zf~z{1gY>zGg@01D-W~n7zSco<5F1D>4RhnEs3gifW6%EdwEV^6_dK;|wXv}tV=Njz z=QYHAO!5%wt!yKL&n^EKUr1vFlR}tpYo3BD!y$P{f;e--^RV66 zh$`y*L_ z-#BuXxGGLdAC$#}|MgY@v=3baf5?B(7!h(8>L6Sr#i+sohAM~2hd?N_e#aNMIjh1xD`Z*9k-ax0i zhN1PAnG$J$(-!>b3kt?uuYP4i!Jnmx<`iut;W$A%aAP~RbFxj(bbGIV7C(?gKDBuCVPdB zj`|{;iF~cfk{B`oG~`h3?QKROVx?*ldtlussosgv6m#U|eowmedLy1G1R!C8>4jN5 z9;fB*XSHlRicFO+&bENv3a4NPTQ2pER7sfBw^!V`myAZ$&$z;#8GZPhiGL78jBzDl z_*oC`+Kdzan3K;xVhN(bbVfEcoK?zWjsBCTQGaPZcr|7nEGKg#4Po=5;0!&*;FRzE zjMj|aGP=xL?w5yZaVj_6qWbDUO|p{ej6P})RZV2JyvAJLVk)$O>HASjUP!GSlQ6}) z)--1V50@|o208k)#s}dw%4sBT0&GDtd#;kb%Xp$XnRt`dfF3W{02Ee5T-e zH$n-f)?C4CLRXDw^ZrG~PDA9PE+hNdc)MnMh)e@93xT7^@dVOCJn>%{J^|4-)C=LA z*l2HS)ODoKK%Ht8%;o3}y!PMBUb^L62_OAtu_EwVq;5@FI@U?OG`VK>r3!~J#iVy^ zN^*SEN-r;+{hupv%EuTvZR)$9Y+(%Rmy_1HxGvr#*pN|7r^J&??7CM7e@gbEiHg=wf$8fxc=9$O#G)L z-TTahM8x=B?Jikw7{;9Pn{rKYd{jieQM?O307;jyp-@JWCJyhX67Ypz3@?o;AgPcv zjP{7#d$IkbKNd;~o#(I@0LKF$Tiwn=O;?h#&*h!Z?-$c&CTj|4QWL)t7+x=C}+F7IlK{Zi4;i1iL`=yvtp71j*EHdj>_yv z=sjQ}9sVHUTfy&y=*PQ;;chpi-;dEx?2j#!+Yp3ywk&D3jTHjv_0ok9AbB?In#33K z97HmQK%3%gQfglZhU=S?axwe&X?nYKd-_1(?l07C%GYuc5eB}@HhGDCqc+qh$%LD zRF6olUw~c7GH5T`{8Kb*ENu+ccaMc$6!J80RhIb_98xA&j#Gw*zGrv-Q43Q>4RfaVAhzXf zB`Xvf!Gl_EG-68R{k=&*Aa+*S6&@a0E(4NlwZ){!8;9p8O6Kp$`6<%kd!goQrT0&YvDd*s#28ZGQr`PKR0R zF^AfdaFAG63XBYTij$iux>4N1`97qun81>z>)0$UENA@YBI9{eZko9;zihxVNk}>C zYhA#dIg5<24H8L$KW8kk-Wp#3xd6>`R z+QiKI^OxMfkbaWElV6E~M}tzl6MOapRoXEpZAc<;p>wJ6DZ2!x1oJclXz|pa708CI zz4^}IoT;HFOgZA^d?jyE=z{2X(|+FDS5#AN#KC2PoL*4MwTzl8W{jJBAn;3 z@L_m+tSvNBL8UkAbXzKLp)>b5+L+$p&7l+JIbEN=>=tm&VvWn>Ksqc~;@M2CO8K6% z=t1UKsyT16rpInHARmSLb~+<65JQyr*YeRrnMR=Px<1n|&;$>re+-75^*#|zF@j+c zEed(W4GqM0W1W!DcRm0)NBOf&#eS~SDjZcl6lR815|K?Ga8U-Px6DcO+Ptc~M8d(3 z`HEFI_cg;84xYWA(UcRe9f^6dxH4`lJUqn`EFHlbZgRvXR|q81Ch<6Ll!oHSzXNBb ztofA!&Q%GYrc+V716c$6P0<2vydZOPrpBYHF29hm=%jEUUKrD{#JFk}bb>6b+IG)L z-=ix8KAtShe;<0-f*i&8T^TfE3c?5dhm|rI%n=(AVvd;q^oq(l} zhN5jOUO9GvFc;Yxw)VCH#(GfqFa1ZYAblr9Yw=CG0^pvyM@3U5#lk#S_UxBaf@E#c z3=8Y&LePsR;rL}HM2qaHk?5w#N_lgDBsXRZ2ZoAp^O>|RN3_XH4sn*BIh34n^fe5M zQi`{Bt5<2u1Eu!w8E_((4>QSzicKJaJ6-bEaAYaXe^v1Yb-_Wx;~Jk4QF4#aCFi0W_@P)}jA5%R1U0i67w#Y@6GHz^h>*?~X6}S0 z;k6t}XS0rX6>lgSq<)m|4)J9$*i!Ry&cBk4H?|ccNUK*fzV%5*8Ye8qM8rpa=;}?K zHeC1@0_2$_;S#ZI*eTLs@yS&|!acJrpL9$Xx8OM>KuQ_R(UT_lc4Qya{#|JzTY6cu z;6DtAae4vb+2dciE6#iA%1a`jBeuSl1GGVtxOH$|5QWH|F}$--|FGq<-wKK(B1KO8 zVQ&h`Wgw>D<>A& zt>vmYi}$C1$n(WT5b=%a$Zw=|j<$Xn!{xAM{3X{^A1%yS5BZO!b`HC+B}7t45lb$! zeY7I4h|F|rjZMT@kV2!cCV~U~F^#NPnXiEf?`4PlC90p?%d@#BCKdbQ+d+*{U0KK` zEMo*dyzcY}pR+%1)}J_|$}b;AkH{`HFUI!wJ=F>A%Qnj0!d?yYB4ri`AL3d~_zOX_ zPM0TgmwLb>KWAOn%)RpE3&3AIvL^nSo}Mnv;#(Rrq6z8GwMfsBKuAX|KW&Qm`Bf=P zZ{4nX`{X+DW86=T3(`+Og|E^PAbXDOW@2zXMtVPxaPv>{Cpn-Ai0NA~Ka=f5UVPc% zQ`RiB!hQMoo0bLXLLkF+cZPH&E31A&DhQ`?;b(?&@#z-zmmL9smnwwt8YoF6Xc1vY zIgpWc_T8zy_5)qo4e+O${m=*)ml|T0w^C)8!%SO+)Bmh^{Z)ZFU%%G4)XM25-A+-( z<(x488nH~|7;$2H`h>PczvQdg9Diwd{rh!Pr42U5Y~AAd_eGY6S@#IGi6KU*mR|8@ zQ?x}YNJ*t0=@iw#Q8a5xVj!MXM35CBI6ec{%Le#OiEC8QXby2(bR4REjPj~hMNfrY zy;X${mAOaCm#Z;E&5mjfQa$Lrl7|xj2TF>xmY@v;+iI7>i`8GWd0}ECC{!Po71XQ% zwITy9==;#K2qn)3%JLQWcYdfEby~>X^)XymJoK90+3;|=M#QQsOh{~kTGSV>xL@1gj9>lTzB^5kdr+B5t#bH{w8k$t z83W8!nwV9Fh5mo<_X^6FG-Q7S(sBDi&T*fO^fmBr$Y>Z-=PCOBjis>F`dZLAzibS_ zhMi2kBc|FL=CEcFSj z{!4-3j{-9@a!OhvY62n`Giz(W|KZ4gl>U!JM}WT7k7<2J0+%0;{=fL}-{${IzrE9c z=_jBeaI*cMX#ekx*jnlv{siFwFtqsr!tDRIMF&G0d%%B8N$WcrniBli@c#-DIscD4 z0_6V-9)_PGJvk*cfr}}?9zeiPVCL{&;r=%^E z5|CRH&=Kg9|F~{sW~lE7_-`fuZU0B3wT&ZzzO%lWrM`hB;J>hOG&Qp~`hNw=e@XuT z#l#C^9n6D>{6DCZ6WG`j7y%s2Osw_)!?XV}ZfkF2`$M(=-WYoVLmMkAfW4uazUBW} z_&>bRC$RsCz(wDUz!_j_W@ricf8yVN6U-CK>#<_!1&^=B`B*8On7*v!Pq{=em%9R9;(q{HcmvQKX+~IZ0Vewf1GXL_>)rqx7|+vg=6SqVQp;U_&>z`WR#1kfswO|<9{;M zk?4Ot{vSmD7fFA9$TI)QKldLe8dqu>Y9s zO!VK8ss2~i|F_=!_x^u?0RB^bethu%9Pj_-*Z(2h)xg@tgy@fjvpErk5yek@{8;uM zdnk-79F2aWpVGkoCz{+WY<}GF-@5j{fpPl(24Vc)wD}(>Ok6DN{~HD-E>^bx4Z?rS zFm^Qf^WQ-JFO2_`ssF_~(Vw4!=xktR@)KY#&i?`EWa8**Vf6ow+5i98=!w0Nk%54K z2qU3>eu02MKo`5TN{ubn$rn|(dfddZkc9r4Ozq$!KWwM*Jh_|Q1_IJt{t2+ql(@R8 zqpMam5F3gOj&~VWow}^@khoM3dHk9V9*=d(!|aD5&UYdS)Ghr}fEhqC-b)l1uscav z%BX$-)g5~MDR-__XLvn%wVadoZ?kUsZ94S%rgP@~fbjEF;@j|{PvB!O*5_fyM`ieR zNg_5sR+qJ+P^QEIqbicRYJoU*-U~ut(V{!-p9#tl(-(JXetFCu^hf&fgT7|vvgFhb z+(M@uh9sBA&7AH7vaj&aNCheN@xvE4{kd~`b(^`58ACee5q0&sF~*Q8tD6$5yN)gK zo9)Zdk@{SMVR96N=bWr2LxGUaq62%_xUmkoYW%tQaHLoo?LN*I8(n01#6GREs>))a zSlm>tkP2`!ly8{Y80~cVDTD{(nnu^-n{v^bixPLvy?h4-BUR*w%|2SMz@;Y8BW{mx z@ORjqDVzU#9@gV$t)<$01>aI@7u2!z5=+0s73G)fHAO4&GN5x$uDgGXI+AViZ^dh5 zfuyz$*(2CU(oPhNE`**bARW^J-8-2+nf2F$G>q(ksxrl`C4 z6g9mI`QwVNz$^aCi)or%N@sQ}wkd$D0dkJvzVX;0yrNhp7ygmtE44hm1X|`j-;e3M zyv(wAp|Jc|76V`>QQ?+6ismqdp9CPhU8I`;nWl;s1~Vi0Rla|T3{9>I&B&Z zJ(d8x0$o~XAMk|KwJgn*!X6$i{ja#xKZ^M@nZA+KlyeLUF%K{iG_e8c#?KgPHq3xCUzoNzoKX}zT=G~}r!@|hc^6mnbi+Wtj9Q^z|rn7%2A7Za0+xm}~w}eR5~-@42VU z+hI0Bn3{NW9ZgdnP;EngB>(xYKu^&gxOs?KK&!rOx3>5Bs8e&!xW{RS4HyTbCnckv%~%xgBuMazJFdOSc;p^f;+7$xCAbg^T&ca(x4AktQYsG(`XUeq1d`>i=1zkb2XM%_@Hm@K4@^1UsemxZ{8 zRl1<06Z0}bn>CZb>`w*}%ZxQ^wRu?lm)2hymwTa?Kg0%PN_Cb2;)d{0lv#=B8(n zSF$XJy_JHd@}%CcJg3)Cu6!NW)>?gu8+%!sOpctkwm2WvRuN-r9bL3&{1?3*8JDmQ zua!&j!~mg7o(G@(mUye$C5s8btlc|%go9}d$?^*|K1Vfe1)QyNy?3eh?hS@QAO|+5 zh$}G!2DrPTge03@c{QuuTf26L*D9M{pcXx{=JW0_qRi-mBKjA@f+R40sV4Ox_1p=} zmLidKfOY)sa#INSbAD%F(r&lIDJ+dzI2}Q8?(;X8V6S>C4MUkqd-- zH$jhjz0Ry2zTu{`}+OGo_oBw+LeSw+Scb6RQA1@o25VYcGb5mDz#5DZxaYyGH$XXS_e zHOv{X$w?Waw(Q!n?Mzeb7~OH@D9>8%+%!_buF)cVo{0{ltW3y}W zP*FuJhdIpN&fXJ?zQY@r^Y$+IIfb!P*SYPq)5;l__{O8c?%us1GZxu15$=flC&m5l zLWbB-revyo>~z2J!paGaN8Nrmah8`7I<`bu7VBTQZwfd^(U^A(B=(no7q%Y`a-6VG z%Bo-)!CNU#j+nbc)+{+MFDIumB$|{xFutG9vZf!M&tB{4xO<|CEaycz=cB%WCdS=z zZ=G1k=n|OMNKH=n{kiy_cuvvcVG8lcY}z*efX-{~0TSdR$&TLx_6cm_4Pxxi z1ndxeA&8ofsV0Bv%7N{LmwoCH<6OJM?XLhsC4m}F` zD^sPaj3+=sVzv0^+&2C#xny;tS1~-;OT}geC28xOJh=Ko$I>JRt z$s{**(WbtY7o63fn@o)T1-AxFZ;1-UH^b%KS6$X_PTYz*`sH)tP}AT;IWM&_!%ZWt zUKve;v&Pvv@&&S4Z8TXvx9GYz;&phkKp-@#Y&aEQeSe@zvY+D4sk z4YJzlsO^@`$~kc&5qs2V2XTgg3R?3v=JP2{Gf%}kh?9C4D1idP1ula%lUi+B3UEHQ zx1+!bNVjFW8>hbuw6M{%S*eQ=PlXk)uJAw)<#j-(^(vT!2W6{Gh$hPmUJ*4xCEn|a zt$-vQ6M%84U*w$kpGXv_W8A7|G{ATS%4g*gW}>QURlDS|*Kf5Uv|^Sl1O*-ZUeyH| zW=b;kuGA7TN?YSg=401+(oK*#=EF`JoMTKeWyO}BWUVMTBpWK~kS~s(s;^Vn)ZnmH zR0Ho(|6wM{Mz_HBPNmXv>ZJxB7ZWE7rUm|t5ATB7moDd+sk?9qbz&&^6m79Q8#gJP znaqm^R1vWZEGHIdMN@X5lBQU4dfQ(R9Q0{sEIXVr^HI%;mz^_KC{yho@ZisvS$BO@ zmYssE3R%ttz$oVQiIl@1?L>z6jR^gxmnYpM?im0_6jlN|zZZQZTZzV2N?;7?zLcn* zd)`cM;-;amS-hZHRb?3BOqC{f$1ExLi6@ZMw}S-K2%+9l zM1qCjBp;cF0xi;%aO+FjS^4g$MRnptU9+m;Da|{zme-$sEtt847s4NTC7#A|6j$p= zo;(pth_mTnj`hYz-88ee}uN@jsAeGrRL#2Zn6lW zt4Y;ijZtFHG{Y6Kufe@n-sUE6&IU*dN&$@1y8uaBvT?bhba6d;xWrrnafJ{Z23bCt z-WhShEfuc-FJ7aujdOtr>OSuHt_!pd2%1_#Nk zOZ=>#KQHT#uuGBi{JGmVO+yKr-*eJ;rpr^$EcXNq)_Z`5nRb|lVM0ldP|?cmuY50> z>-W+)i!8)U$%v|8X$&T8G&j^kz#>JHxh!F%FJ#6$>9m!`yj~!h0>*7rd$gwQa=c6x z!7MCgTOq7aGnPB3bQ8XE;JA%yeE{sfsh6WY<6pHtc_^ne3dSg+J+Fv(dBBCh$$ED2 z#e@RJ%~X0F88(5E6UcSy`6#QSLK(z-Oa@1r<7mBAv~>$(`p$^msjKzf+e&Rv_sG0& zRYn8{{D;)_?x~7>SwOv7d2k4QFL_1fh6B742oAd!dvFto33&A~)^!`;4Fi#q>>Z%x zklcTs7Us)XR!;9J$|GAWcdc_m6b>qsW>c$CHV#v&Hg!YWbDF0h#OZM6O-&t2-Zp#BeUd;EG~B+*~!8Nlu;+>{m~sj$VR6 zQnWE3zjGXw7run4bYj6I^Tb|1PAToKF&gnX#m&(J*MYk%|F$47(7fwkV~z7>x$o$oK7Zcz<{@Ru5f$UaHACb_VN*u1uqB>St+{ zGhV5z&0z`Tr_+<^U&xPfk?a&1d0S(nFQ+M1YOuaxK^NgS0eegATQV$9I>`Z#T{N~7 z&SLUXn^;c|fTlIV(HCuYyNn8F29Nbz{eu8&;Xu@o4TVte#wm;nV zBqOTy?|CA8)u1#5^G9AuOYTr*XIFJakrGjBT%e`7!z|&F_Y#cp&Iq}-Qe{*UcfvLlm*EWR$-}RHI?kiT`QfGtbUDdlY>O zE`Z}Qy?7%371{0(af^%uN!tgZ8__^%1h;K>di-QeXElc-9@)MmoGq^3Q#dsEjqg;W zDQcPHlaPCEsF+aM0HtrMH38L;`=dxhH%~WEG%tdcG!GI8AnBoat3|W5sdmYnkDC-R z3E2ZNX(Dkd@sUu~M)K}5ANK*xYk}*{FuA@A7L?NZ#bZjkkccYsKmk|w) zpb#Tfppxwhsxsr{DTUM`fosw2%q1b6ufY*O%dTmxUAq?I(X!zSQmiA~tuwjRp9IkTCL?a)m(hPlytu zS-sL}ag0Au=C&{6wZY$Sb{1ZLHCcsPAZ)QYBx))gnq+^f@FV>WBe~!2?#DTuaC6EXg z@xqCSA^)Vu<7~zEeJ8=Aw)P5lr*=-<2JeT?r;&rxAxwM(e^u>tA>q^5~JG5 z`wuV9tf#$itxs_pISk`sx5xT82m-JpOsgw)JSp>3(5_m z_6@Y0ainqH_T_E`FiUpou1Iqi{g-l*hvhK zBHLxgp^2%BM)5Nt)iO@6{O9zkMBxW};T4def8q4UF%r0pfmn1$QBdI>x02Fc7jnrB z&#{gD`Y&7BF{nM18co;E> zFM?gdtoTsQ{ylgsWV*Pftim9`lWEd95={iVoD^I3Cw|hR0t_Cq_uY>eOW1*uA#& zKAcZoG2`-#XSaa5r;nquj~tG3Hr*1pq0gb}mT#xE&7+W@gCXkwfrx=VjeAy4)puH8 z53KH!OL`~t0{%HCFY=a%(cxpSz-2qXQ^QR^GN@azmc@nd_)FGanFt@pK=OIFe$D{; zLTRiN$tBIO=*GoMTdhI^Te0=qyr4ll*Q^?dOVxMrn6{yXxY`XuiZvGR7hHc^y~E?- zsrDhiYmk}!56ur}0R5^|^PdR`CN`hX= z#j43&lENV>>J()GJvSu6@!OyJg?Q`hO(9ysC%Bi=q#UWU z$Su9a+jwNHy15DZC3^28TFNZ#Z!TM8*1+rIOp5gg@Qw!eDU&7Sm^Q=@hv6_p z_x5)kErBlAZ#oz!p4b4Z7QwRAT#Z#osBYzO|5d;35jr06vp+z0IO8)VSL%ye*4Egy zT<2d{i8|*Dq7YPy)m?oWR%U6ZUq_G|++t)cmCu5Cra7}LrOGm^jHq*zWyO4}6lANk zBp>eJYe-FWU#F`}$;@Br&f4EST^q-Adq1e|+HxgC%Q(v&}g*07BaU@KH{E%eSf4aJvLJbdYPlQFf)ZOpz z?$i zk6*auSmvV)U<@UCO=QUMJjB{8W}?AaL$bgZ`mYi?N1w?e__kG`{D9qq1ok*svBJD* z6#(e<#6&H7H}XS7EU^4ft12ga z4bJDuRLdjVgV8{A!&tT3`;C>@TQk^Zry|yGT?i-~OP+D&xI61|=stQ0>JG4e`=dNR zkw8D!`84f&jbgYt><7O#da*10%!Wx??os_JKMA2BMVF2UCq8VfMNUQ zub?&a^5Vo^LD05V@U+2N?P+al3s{Xx^Hu-fN`%p zpW44aA`(i<`@V#E?PuT`=lh*-STq}c!*>pJ2NUv-Grx#@kjcR|hTDMd&tCY*`c`*$ zdoI}7KdKQaswO~?)lYsngf5>DA#{d}$+JIOeZ#(dVLp8FK@dhGaw)5Iqh)pZ7{v1aVXUfvUxbwt-pBqoLTJQysr)S;CKA12tTe=;w)jh zo(h<{@_x4A!AL_t+eb#p)qaWcxUPMEJ=Uj1-ESdSZG%#3ya6gr`yjnSs*?!k(w$LJ!+saR;seT{)JjHA}dn)4Wn}q?}0K>99f@LdJ1w=zTf(^YZW;m4ouj z{ndO+))+ONnOpZopXHE#SRr(nwQvw04+Sz|&F~y{p&X`83*zRA(rzkNzhNhy>D_AP zRJMMqYq663yPhq^#RiR`nuSql>`yT`Gu;49Qe`q# z6oQJS7O2gLZ4E3ZZsemCx|pb3iix1h){>{L{f=iZps$@eQYZfvWJ98FHu zH{J3ooI~C&_Qrs(-0Qvbse~(sIuqPG63-SnlQg$U!A)Nyw)b-l(&yGW6JHWhWzf?I zA1u*G;H>J3=rQStTD~oMEP!h$exW}wz=C}Q_kZeI4|rdj^3@^(>4*o$aDx3J4#}V3 zG{loIVLEZ4JfaAKBuY5OqM*l#K|J&jqf4`1$NMb?iE%6J_@V@4nVpcA-;LJWT zdmSqgXzCu2u~MVZp+EKyf*}=avNfVciEx4h05#cy@vB`e`W4D zLA&y(QTc$u9J(9T+&&I3DBk^-eO>p8MWz{;sq#OjqN7Yn}jxLph zOJ*iB7FZC8YNW_di`ec{TmZAz70jw^#L`NXi$)#%iIRnRi!?|tnE*H>c&bbuKQqEt zSos-H&1iEJWu1J6w>%5p9stxs|r+(aGAWdznmKP@M|>~){m!zbV$J=Jh?>GzlK zZEj4~t$iVcvV0V%Z_3g<%-c!+(cfk)58DkO<*hu?H$~G{2UqS}8&a1fICfCuZ10XJ zZwFL?GV;D<)upQ0RWER+_nNqoaa_no42LKZ)rjj2X@Stx{heTr&hDe_SGVUdBpNSjL;658SqJ1P({+q695@cOpF5#VJ%Qeq~jgFM!guD^WEDQ>I`RU=-v+_Y&k8^j!SK%FwE|C5(LkYQ(T9zTs&aTY+$cP0<1s4bz}D z4C`4V+F-MwhD<3=CeaidPQRc<<4-F#N98L2?y;w2NY%xE>r%?On5A30;zh+Xke<87 z-{A4b?xo_3@+p8m0t98IP~lMwo8-YOccfKm3NKvx%4Tm+6%VGPL?O_TYTD=xPZpKs zkesm{G{XBEB)sDc`U%L)@#KGne~a^Kwo5VH$sQ;zMUsf5tWth~i%2C_qN!pCr~)&5scu3q4os51nJi&wVRF~)5@G=M2I z%T1J}`d2s1h)pLTuO!Pkgs5Tf`tI-Sf7__$RlI(hR1lwFv->wdHK#$>TNezS^XT%U=R>1VUNL2ZzT^YofZs zxOkac+barCBvfaJ@}ZcM{~CccZ7V?DQH%abaNIUZ!ZW++p)<~E4dp2u&-m|;KB>EA zDyO$m2*~TeHkq2YG3rRo6O|Nhh(FR!<%3hJV{Q4$ly~`l&6UOy{BOute42c_T05TQ zJ%V;MfC6eg(BbIJo>(VEpldm4IejDrHJndO#mIr$G6bb3Q*OKI zTK0#rD8|SYIN6CqrVd`s>Ujuzwz#j3-oRD@4wF zh~mJFUqn@C*s8euoogt4$`6DD8mzl+VLsgd`8Y9WOgf*Zb>4 z_X&?&7GxKvw3c~d^J9o96k9|2S%Ooi)P~+2VjQ!-KrsTexERV~st4n%As3m3LFUcw ziAX($D$Uf4)DIDxlXP#6?72LDGB0i-vW$QNl?T7Q<}p~;>GU+bmG^6;sGq&gjc4}R-^CXN$FPHZ9kkE z_6chLfu!~O%rCJx8%y-mvpsuf?Rr&~yuaw_fF^=O>-^G_4&yU}gh1Bz0J2CfLx_P^ zZP|ULLW_A`OpclYCR1wAbp3EO_1FBnjAMf6l~CG>w_!B3=! z)Q|8_ZK!oC`BJeVGdTk7ozDAbm!R)XA|nTcOXFvz&R|?o26Fc;f zc&0)RifAmgY#0gu041tS(xdSelf?*VehcDl?w2aB{b7zXcQ!`Wl=+$irL13V%`8ae z0iI;j0L?ogfwdQ!NJ2$Q-rojXJT)Nj6oNKYWmuULg60V8MNauZ0mY0Y@d3rD0r=D4 z9SZO`1Fa}^A71%^hPnj@;CR{WPyv#J1zrb0k zG&5TaE3noo%SmSMyzo(++B|nW z8&^!fYxPxq>z%i>cHvX~InzH1%H>96VkL$bmVLjpl zfyjC;1d>7~5W@JU^xjn76Q~|pqZBx|fYPYxMh62exM5KI?ptzQWF8XmdOz}fZcH}O znp2EA&7^8m4zeWu`TDn^7RVu(|TN)8w6KqN|QNK7D-H$6v zRbtUzW{GV*OY~KoK-lixGtsXH|JpPNwb8DLp1BQos$UBOqZ>B1eOieY+SRk5BF9QO z6yA|z%D|;jSAaWx9d3O*wC}Arqy_x08ZVpe%8dkGOQ(n6C5rZ4L@8W68gd_w?z8~U zP*qIU{iRYO+?MVL8oe3{^>#(g+@m&5%HI_cvP22x(;J$&N!db!=sF{w#$SBDCElD6 zNWEQ}c;!6v0*y5z3o?8=^a_m#w${38U8gzpK75t02FIr^p7vM!H=X#~Z)PN!)c}w8 z5}w!qH;&Agy)G22(*B}c_)TZ%O7r!_6|7h+yXIX{yy0P_pS{oLXX3VQ_Vzum*c?7p zf*a2vK|6!3PvIDMTOtD;4HC`Mi5TP?CQTRlI;6o_0e5!a$V#(`mY1GP@2+izy1SDO z=?n=+XcJOKG#PnlxEDv_-g{>Yr?2-XXi&_I7H1Nt~T1FP0=Kw_l@&(^31BT_^p zqLMm9uxHTWTX2rVajuT?+Eh&4hTg>dwP?$|qc{%u{e4JxVGF4>*0yecIRn`rVtgR# zewKWsz~FEl>zxX*4nkgtc70BKF0vSa)hERX84+r7UjqtR?BRJOcwQB?Bf;T;C8XxD zG+}}pLdZlxLPD;gGKlTclNZRFuuNp|q^5NN@Z`rFE%TcWU^Ue9sXd8YGJ!{Mwy!po zMVO*(o-gVprz)uwE>YBUT7!OpoQC?~@x<%&_Jww$*1vG8mqG!Z+q(GR>6&bPkksFP zxH8s;e>&WwWy^5H%R=EF&Fa$<_?KaFjw-ezGmpgBWkD1hloP?J57z?@5Z%?Crcr7J zOuj=A|3urj#82CafzeZy3Qa^N=FuRD@kdkr!tCivAe}42poC~Dltto_cc2?72639- z6=`gTgyZjo#~5x!?IOAxmiKiRMFHnUqmkz1~z zK*pc#mWP!UaPT{LHU|n$a-=St4zA(#g(zKQOxf+%uSRUc@8i<1ikbP@@a=x-JR4|W z(fs{YXJgH2N*kHOm7yT!W7_$|s{wD$RGK8tXzH&!X~U}G9SQt7d+S!VG^j=*W|{Ii zIjx6NqIeDWs0j8#6*S5j!x}L~i*rbKYnH0<4~@gSWbrJz*;qLrmk3osge+X&ghG!gjRjwcS%vgfFrA≫(){Yn#?;&*UCI@G9BN_Q@ zUG$Y(qCq`7N#hvYnJ}^6y?!l8WX3#kb84bqlp$FOqu(inA@PCo@0-WjQ5Q#_PeO=% z)ei}t6hJlcL6apW^$cH|&j}|Rg$cu3cTKK=&qpt=lVd!j@5P7bI=Xk&oh^nI8`&ot z05;dk*bQ22?)Skt0dV}SL6TKR*Y{MRPtgK=&=`B0W84?X&R3{q?|o01o}EMIOnXqf z?*_yVJbGQtLN#hqrrQsPOm#+xo-mGym*a>yxxQK2z{!%?O6`r1#|ZzYf&qO7&0Zl+ zTzBZC?pho zLP+pb2C|!B@0x?F z6!^s^a1_WnCE-$1i_a6~(a3`8tYfSMNTaSuPz?Lq;n% z^R^m|)x=%FEB?~3hy6yR_n z#wtp~o*$7bT@s>6)++qq$SJy>1HuzV5Xtf~@r9?yN6vC`>HCo9o8EZ$Jf)o?ILan2 z8B^ppkqs`Xo8@kEMF zaVT+U-O+)@?{=nqk{n3`Zd&!5u5xJ|q(ZK!fA`m{Zs*tGa5RTiA+K-k7~0I$r8YAJ z@}u$}370JPP5M;N_M;Da3*k)Qh?F%4QZ4x5TLY4El@@WXs0dai5;YU=_Osz#XFy{u zS80pO32PH`AoJIst3nxfI@oo3-BI^7{X2LrBqgHueIH>+d4*85C zcyoJg!}kQyo{i`)it#3Ed-c`+9qMDsorNTFjS?EJ$1exVagv6Qq9CC2I-NLclgQVQ zFi}D+(695ZQ%_RzUkG@`Oh5uhx+{s+a!ySzBZ-#I!!u+m{(xmVzo@uNCuJP|_+R4D+y3#vB@1 zPIQ&eD1>tYp9NU6ki(aNrs$#%5{j<=Lp3pqn+plQG#51WgUWeNG5fMqW*j<*5SsTo3Eh z%S&h7Ty{i0*3_kyI{#;QHyZ*ik7F27m*MhPRHb;3-*;c$XBF#3m?Boo_X%Vd zIdA}Dg?RTQJB@;DvVT-CfY*Ou5IixET8-yyDtk_PT(_Ltdtg%q0f3a9e#8bn$VbLs zr+Z1a(vb2eZEnmZbfmfUiqa)#-}xAW(`7ZDRq|Sl>aD0Hvx?KDaWzqOhDd)?KVDu| z`hZz_Y-(6B?iil61D7o%A`o61Olf=D=l+0E>}avOHR|rzYT3u5ou8<>%u8O2Es=@- zFW9g?WbC!H^qJgmTtJ0U~`ZNUfkTlc(m z;y=B_;YZ-DQ^Sv9L6%Ori=0|AZ|fwe!_YmX*A;pDk zT&TV{nTM9`dETxyJPUzr1be5PlEO!#_+fyI3}c#^J=dArsJiJ;WH&sH*7YOkV*;K( zIS_NeUH`JLBJQ@~0~y*F@RaNi)*V>=9nMu+W~_p`bN#kC=4#*iQ+cHq3|EvuKE>(Q z6+7x*(0{N7mt}KEre%wkp5+UR-Zpg=R?jw9F(8&i2D9i_g6HJfl-60OUmrKudlz~s z6h^B?@2E>zU&WuD8@YfwzT<5FPxF25xCsZqKcc42lNOvP&x|vjB(!*pK2G=E>FeW= z9Es4-P476GAANUfQGfKY{XfZo3uHm+WIhtAudh=!h0H1?L2lhR%c5?hW>~fX(;N4CUM<)-9 z#nH7#dsj-bf?Tq>dJ%L}7)6)5d(4ok88rce{P19TvVBz>_x=OIb0%ztVcD}1bMi-O zfZDDt4^T+E&?jgdo>{@DYAZ+ZdzQkPsPlGZRJ-p-M84mhxJEU*0#S<&r?u@jz5E2( z09e+m0Kfa%ij2oz{eL>ZcUO2;p%fuTm%Eclt(uh+44JtUdHsdBM(x2gZNWEHOl8ty zl>qhJw-qP^5$;)MWgQoz!;ZdNH64E8Zq({W!x22P*n3_GS*tCT2`U-L{n{uG0yEq} zbM&R-aYV(sgapn)sH{`Bqd##frDUudA;-NtR5?j<{DDmTSd<)7c}XsZJC?tiD-}M~ z#1E=~NZ=>$z@n}hpr`w|TDyIzPwCVcqqFLX$uLdx1u^O=p$IV2=9x3s)i9^+w8;Qxu*q^kh<_Z_q{9E$Wf7>LmsL=BS&U8F9^x5vZ zBMG5KK}YS7tKTfo{Pm-Qz>b*A38W)MKnW`%d@HLJ+gw;zI;@Z$rgtEy1GLE=`jxrT z;y^Z|(Cl`)c$L{&99GM2`T3_a$FN(7a2N%86e$DkF3r!Z_j1ARmWCGTpU|4GfpVF{ zIXHryw1*HUqCHjYKf3rIi_0%JItkZVSScG0DTm73g@2SnareJY%Yc$$*H6wOPW9c+ zrG9w|e`n45&Ybl~96uj8iO;~1OD5CDOVKt4jJsdVwSx{N4TC%2)y_cmLl?;Pqid=zP3-v%mkT4Zb0QjdiYzyTr`SGX{M)|TH8`5W3>iMMsSSF0#n1& zig2fYb1|FgqSE1yU*nl9-Vj(z!bg(ITf!LUJ@ei6vQ%&2t~&N|hT-s7q;)q^G&n?^ zCUjjhs-K2G+2nO&PPQ_ZAbCt*ktZ8NpIX8*7Ew6G$448*%Fg0bO!IQ{_Ik4|KlFh{ zMoB})A|E~U5k*iua5TM#LCCRH7@fv&L!5;{O8Rc&RK-k>?vJu-y|L{XICq%UfbbiN+nbBR1Q7vm;&@bF?{V-YAd zOdeGeGhG_PXlyL8uwK(A^C=*hR=tE?~P)Z1Kz)%Oj5dwFafWaVzdhXw`!6+o; z1*c340{Xz7-a<=E99TLcW!2!1KBG>#6?WLw0 z1OCCSx5^lfUwExC2JmMYYCv$qd18uJa|SMWz*Z$0@vcgKTcuw9Gz1UZ1F88^*>C5( zZIAJ;AC&-sGaVJ!Pe^?kkkL##?*xP5At+Bpd#?BMVY5avHe+WxBU0kD|5aT4t7x*D>`pU$gz>0@OiT3Hd zZL=f}hDw!UXntwrz{kYSR-(DV*8=R%^@qp$I$moRVQ3f@rGS6|gUD=mY{0B6XMF4> zhYjqdn6b??vmh&9Gk@?zZq!&dH>Vv%?B>$%5?2`xtm)RNMs{#f|9!(f zOtr_?Q*KBE2AE5+-TJmGH5LGpBQG&c2esCgZN~#-O?6)aT=X9xgCegdAVDcJ< zeUB`ThScv3@h4MjWqidklJoYH9UJ8i9bGG3onnOM4tYB6Dd76`LHn0MD-Bt@d2|A; zM9_&VnWipO84%k;zXIhF#DmBK)Dqa$C;+yTIi1UZ=^zm)u%f;p5Q)LX_&IB??M{zf zZP!;IqHBIQ@SKs5`*`XD!XNBoHi-_rOGn4HAAOq-;?dhs#J2*fgS1f{(pA2_b)xVYh66>`iRsSzdhX1UXG2g@U;0aZ}HVR+opPK}nq8DVU4u!{-m$@_h=|K*uB z|8gua4`aA?IyMP`Tp)}%-Zq3o$@d&YHcFqpqfR#)%Rt+@hx>eV(xphvFxMoGj0r7$ z$fNuDGvIR84Q+IjK~8s>7;l+6xebLV(m|`S@U1Lu+9=uxbOVgpDwZ*D9J&_={L!-d zn~^q?hjo68XKy+>1_Gbhh|v}kJFG>BUlYiO0XHIFhH@yTU6s^i3a>0|%N>w%re!EB z!=7H-p5;|{^mJGGk9OU8K6ULfFQwT}M$hMqQ+U`i=HP7iXSpmY<|yBgO;ZB^%fLzs0GF<21L0UrR*#mgBPf(1cCCs-9Tyf~YFlo?5XLXGL6%M&Df=SRQ)Jn>C!P$YC0ISRQX6=z}|Nz&@FiL@5}+|<9-Pt zQi}me$+#0>d23oz_3t?r5+fODAm?NjTZ0hq`ur9(3tv zqh?U2d-l=W1Rf?78y{WsP!TQwR`^`akKm+O$^^(_AqYjeEPXbGK-`1sMImis?Ei1 zh)wsE%^iF>Gow>8RyWM4qTz@NCQFkn8!^*wR4-?RsLkZxd_H;4O7m}0icdkGdw0!` z1Aj3za6N|00VI6h7IEB$QqSI*O=&h6K5{*%9U-bhOAi`mcQYR^{K?(C(j7%fM3fY2B)=^P#yGcc;RHh zm85M?GFU~y7daw{=Y+(+A4YzmC1aY_fs>2nSerpG)lzA3uTw$F{dvRny>$^TvwrY* zwb9UELm+39;%(wSE;{Mh|Y86Y^6@XGOZ6eVHF;$aI zcace6jaN`TY`_$-UaVZNcNBIV7cX zS1Su8lVln$28plVQJ}f^qEwU{8*=biy&ZDVH+hpI_?-3o>W|-aQz#7>#3yvdP z)mtGNOW=gY<&H4ZuF;QQNVgM!Al7;>Bv|>N(aRHYUI>I(sG-aq7dN8&@^LC+gH%+yv9&>V_gK+V|wF5^M4fhhNB@xWx2L zk5u}@NBU&@;)_R={gA{s|0!MSa#C`Z#0T)Is7KQ_Y{&IyDk^p|_s;pavG$f9*GHm( zIsM^Eh5L;DC-pZ_(0{t~#jb*Y&d?NaLD%~24?o^95H~;^*UKq!v4?e?kG4?Bxt?DH zl*{smy7!_$Myd)9VC)*fiR7ZZN~c#Kgc_I^Xvs~+fSgj@pI-3q_;4SWhLc(3@$-i- zp9lHA&mO^AUa#()1xF`>{|q(pIfglX9%u2JO)DHph%&{V(iw{XkmB%7XmCcU0Nv;v z_5QD;?+pfy!h{V;jf%L})Hveo3#j{Qd~wVKm7@+q zmKMwDt~@MV_fUXuMJGZ$8sCX;g+w;bxAD1^x6o#2hh`6NMw+K#m?0-r0B|$dALvLy zWK1!Rea*dMo$H6lB6o4d8R8!sW|4o}v# zT2c}hgH`qC)yi>?%$WzBVLmRY8e(>>*AbcdFsg6jG&c@Evj{Ko5AD_`3{$(6yO;ts zuK*ldS*AmUYL4L}`h1LOEK$VPO363)+h_cnX#{$8oNbdIiXd zOUvZUAhD3S$tv1I?(r2ahGmmhc5|X(l%=al zQ!a3&YMa-y<_#Rch5A`mDfEY0tC8pu;Y)FF5);p}qhtG%oLK#i7Aidy zDgQG~5`~VIX)C+Q8XIH5pM{hHd8O_&TSV^7n}${fOH%|`om1%0+i zC;>XfjlzE7XlD&3bVB z`}4K+3i#_=qX@V1xel!Bd=s7D#Zb-bwt0S0BulVdm2 zGVt2x6%0;AA}g*#I^$Z#ChN4qxA%GuPqGA!wXRtO)3>Zs43g!@okcP;ZNm>jHot&b zD!9RsZVgifk8NbN9n+wLE$k_DFg)b9<+RT1omG0KHOc70H9+o1Cuhciv%}#%G)Mi& zW~tqU_*j_n{qdkQ!|e29>NwY~{0$7pGmDoI)6E}p&bhz#!H%|V%Mpug#QSIG(F@RB zzrzrZuQ9fd?$viKJ#a zl#wvyYuxYrz`FcDk(YcXW0(58&xfgoGi-|eX8+m#s{wgtt9>@eVs0)t+rb_>-Vh$=UF(C=BX`Cfc& zu1+0F0v330*Xnkyq*|BnPz!&(OJ$P8l*3v;YE*@~pTIWCi&|233R)ibb$|Qlwa`?v zD^^dn4|D%7n0lA;a*!-T2#C^-3X9*+-%(6Ra|+4v-f!U_ZJyts%IydZ+h^3(cQwS0qJRDoQOItuP<@mpMY7CXqZcQ%w1PZ#8%i(T= zL+v2^s}83ZV(u!~G&3k}BayF!*J+$70^oLu_itTBJf{;&jks^COi4PMP)YbMc)x%6 zZvSshx?-dIVi4dKlWiPVUnFUsAi(Vj2o&q0$eh#9&L%@~!1zmuL!BSG;VV?B6%%2X z?nXw?#|oU(T{;=+XZI=}9Ttq)3dLyIZ6`(Et!`*RB2YTe12G_ZQU9VkF!(rf$kF!{ zM)aEEFLUIVLF!@qe0K&l7z(s=U)9&G!Ibm)zGJAq-!hDDyKx--I{kq(z1Jh@Hh<@# zyglLNzdceUj-C}1y!xui6Y>{6N8oA#|C1FnnseA9@JeSqNh|q-j(D-NsM(>(634)A z8U=C1s=LD!0y;>VPXizgxC))^OIYFqpTnr zXaD*0{ijb==^%Ep<*>zTIou@G!@L;Tc6pG}bsUvcgldE;M}UAS<>N_7%TaBFh4be= z+@cKm;<9M}@lJ6|N6{M7{>JQ7SYxaVl;W9wJ1vu>gN*iU%P-n9$rOZ<=Lzza>jkxn zXNttKMv4b~gMcEHlbV5E(;yfp4?@)taV4x9DWa3VxRd*q>yQhR^<4}xkK@4&#I0E5(5W^P^iIVkx*uhYhuCKVc>56DUK6zB3mt{ zXZqbw!%QYeMrl#sU4MZlHA9L~39y2x%%=>8d10l-YWFyTj^K8QY-uR@40XXLqMT%1a&p zVzh)e%iU}L{6X{ue(}yVgCe}Sig&O0)r068_~6~@z5Ufs{mIrw|2dTcXm zi>(Ch&-+ZSYoC*1pYLIVkk|TeCo%s9gN)_jT@AxwtE;%N$b#e;6*cBWC2qlw?Lcx+ zoS5U+P@R$NnI;r}F2a+J3LpZm;R)ObXm35+BRVcN=>2yz-8#s&=#Ri{ComWJBy<4U zC6al{U|&s4oYVjcGI3zKC8?)7Me*7|R$s1hOv*$`*%D~@6F;AVRVD}8ZYhzXya;!p z{L6tt>=4+Nvp}0PF*u@c{@x%TZEQsduz1I02M>TpYZ)ASeK&?J>|^0;1{h-2~!g-Q7Ddk6}BOMKq+4lkvf*Gwwq444n*X zdw#iYW3JjFtvrR!+2Vj|&8VOcX&bj03soh*qjF{IY5VE%}ifZiGf>2ArM23N56H z_C2&9E50wQ3$k*qh`vww8vMsT+=)#vkQ232G`Wi#m|K{0oX5uGHubaBpck&6`m>uK zOUL?&dnMSR&ZM86-eQ;8Mw1rFQI6Pr{kK9h`?{>0=Y1{DimKkJ>Anct8EGfcMjb`n z{t1OBa6l(0YM74gVN@|TJ8MN}yRo6s@RGhm#;c?xncdiLiK4gOtPr!hc|Pka0Ryy)utswlk9W8vI)UHE;ChqO;XY|$9-pXzQ)9MRypHW|R~ULk2RHtse^p)w9rXMKHQm}rz;K}XB6xwru_&AOrKxV4kHZpq;4 zWlZrj#_>gDGLT~;i9r~y`OJdyI@n505i#I|bdopMuLzq^CLlHJMNGEb=Cpt5@z^83 z{l|*9UMHD~BmA3Fy6$nNsbT8mA|Z?XtU#%k3);?k|H9KF=p~o&eiyR)R=J;9wxST} zV;9}M(6JK%LsD-KA>h=lwq1xJ!Jv}Ns=6_h6)m1cd_#Oy5k+MzQ2!QErFEKP)8M}u zFVGzAj0RL^JvTD3saek_wHWb?O$g5YF@$781OGUY1J^?yqYf2jSf4B z!-9gqi*K-&GWs0T4n?S5my$2aCL^;=j*B8gzuzp*0>qToL!UNS8txl+(+n{~T?IOi zcPtVkFp(j;qe$oRjzuajqEn*p-`l;w+dpJ<qTyqcM{_i=Ejm~i9s`CLzKg9ou9uAFs$ur`5%jiRA|!l{Xf0Syi$si= zH?CWWY>Jwk%*Jt-MKwAvcL)ng|w{7xL*1{%IvmQe?30aj)tkOY-f- zc61ly`gK}|y0MI}Ihahh+1V%m&4)YCx>^7&+t<;NS-XW1cXMptrR>;Guic{B-JLPk zip|yznY$3i1_3qwrH9F2TU@Z6zNjrlcha^7m|6!dztmnAL5-q#>n3Ookh1FJf@)J+ z-?dVi^d;7o=W1>JlG7kwQX0hmT-yKRF3G_>yo+Vg4W@PQ`Fh5}c~7iSMcL0PDx6{_PJ{*hgn>GCKoVB^lhgia(C) zs@cS=IQleQCh6-mVy3??+67~zNQwMHVE?#OMvlNE)x>JTbXMexd&E zNh+`Y*@Irju4GLMX<3^PCdigo_wXjq}-g{6lkccs%=|xi~qW{Lq}8 zp205{7gL!Q%``f^T8#n-Fa2B_kZ@#hhX`pp&A|P*kFV0K5F%5kUXl5(Q{{0J%p+1u z;IBvk!q+io;)>#Hm`tIK_J~oc&1zC)_E;RAOy|aO!sSUxAYiQVr60@-m;=grsZBuf zc(%eM5u|Nhw*$P@1lk-z#!$xgAsk$|FzP*(kaV69+rLMtp74@Has*gxvsiydHje-B z#~LnI2Cq_A`BGe)!uqTPecOuFj{>?1M=d+rf|b6(mk(&flEp?H%%w>rnIS9$CPNUv z#dSLCYK1KTn-fK&7vyoLWbO3WUA!)e)sd0AY9fc;J6C1I=Lor@;(!Ke-Uw?tgSpB8 zqY&iwquBMkdhT1QQBrwOqE}^bjZ2LVseE}{Bln$F(i8QT-8y}Sh;6YiA+}wUjp*;J zt<`H){mvC)wE9nb5yJQyqiOB_?F4WAQ$N|sN&gZW_IMS265}C*n(z~A6;-=q3z7W> zH>FAD*TpJt2Q0!@<|A7R-Fi5nu@E7)sOLAiI-b#H=$Q%i6PBfKiu*N^zWd!ZQ#Eo{ zGJ1!~eVO#43G*+SHwU zFvN&FA{oNN5&xJc_~$4*J$5a>i=N&7=@0FsQf|<)oskAMdYY-!-jZ-i2?~?q4eR=x zA(Z@ZCN0%y`_&V+7+5Y6sI`}d3}l-kD1zA9@(QHiP0(n7bqpvmVr=qIh?T)g$>FhG zptlPIg(l9#UZ5=(Qfdb-=3^(HlBOJ!I(;fwN+yH!MKJg)gv!DXYG;+%>;@_77NrH| zWI@52mNH@dj+w_rRv=n#({XkD@)8zdmJyuz5ApW+cR%1TFF`r~l5@g%X<%ZP`RF$= zG%8exNnHAF!G6@G@V2wHnb?>>hM@1ZFb+Jo!Quk^HE>Ku_t~IX{zY>*piU_O)?Vi7 zP!l~iqCi_+rToRcn27$|hr2Nl@KkA?MZ)n74*^2+w})8u^AISThKra}0ggPbX8-7q zB$+pTNq=asI~!TAHiP%cL|`J*t)9O(0svk5$F2Nn>t%_ddVC(U`-I~1Ju9`C@i+zq zIqIS^MaH4~waYF+H%`a-SN93@_X7N#VZ8k%FGxNzE@2@WE0ebzDHD7`yo#y_yvfi# z??=PlBt&VnC99?N4k);DHq~l|TUb%>(HmKW3`?PH0$YC6VR@?yrJ$Q#gRwsp%DP_0 zLefqNb$mPn+7sejC4x1!M5~o}VUre*KuRVrlw&>`{%jOA9NEHocc4_h5Qqj!bw74Z z0wj*8yiBWAT48EB3`~sIF~uScS2rUzbyS#w5jjmU2%ZlL{Z@N8yR5y*0@iSiUYY0L zSeedM&_CB7);ipj&eo71wp6;8Z6doLu&|a}jmmeT-#fIhH-`rpwb5&c=;zn-5>eA| z+Lmm|5~KNS<9u;dTtx_TK;bN(h4`l41K-|R7vCO3D?H=0vaAHr@4*i&4jzWww_(td z=ENPY?h!XM_ncmFR>n7ik23OcPY4^zrM62`Ck7s$MDctImEsniHftrbs1uM3UH=9j zVs}rmSi`15^S%y3?==E=J~=z&OP{}YEc2anI2!aE(jYI8c3?J7a4Bm>@3z0LGYZ}k zpLa+d+4j}xf~|tA{EY#*8E+S#)K~WjZpb)#3#SfQBXNb#Vh~B9xA7#&2BU3l+wSb! zB@oSb_-Q)3z397Ovc^-&)kqff+YdhUlR9-|a(eOEGg(TKGN~h5#?wHY#g~^~Mdzmn zW9@%1lmT~$Zqvaz+S_K%gwO5VM;70};D+Z8Bu$*CfueP(0;%3z?4LUCNxXN$;W&U| z_pBPnlr70gs_uEEmtF~3|@id+#t4;J6MNPPm)Vs!j zL1Tgfjh1h?JqkA!&Z>TJ6b;W#>*dI}FR(KFsk27nE`k#AYlW>weUuL*CFn#*C7wGn zX!zu!PZ7r1OjarFBT?y{>aFrzuZYf-p}x|4T0q8pEN8`ad=)t-X}cL}`CanMQa})- z?6R!sxKWH+IfL_~h%m=u9MKP_ifU9nj@yq%yYY}HBS$FRE;L;=+b5#urA*XYoZ7?$ zdY}_7;wCg1!^f{wQ#&4x`lSKYNSaTQ_I8-iAVwSYD)myr#*=~h6L!x3@!>mVPj>J% zeOGV~;ATsXW*2Mo+qvok2DKdlICuqb#o%nMB#greUF+MRI8K5Vx!qkU;AexLmi!KH z@)w5an-VmRcgVZkk#gDkgi^v1o#U1Ta{Ir27~-a|7*15i+`70SKkbX;W{y_7jJ$gA z|DVN}y1M93H&5wZhqDCPN9a0wjOG?fet~*zOul9oCb1{KfY-e;SMi&41y`w}hNXX7 zAGfp|N?J>?SI9IOy!AQuT_>JgB^E)OZ?;j+Pul}LcAD@#URNSRzhE=Xwu*}YjYdW zt7KVXE0DT(OnVJFx~Oh2-BNTd!AbR|w73`XHq=p9)=5PYorOv09BcMx?W+t7u}$ix z1tdEFNsl^JjlF8Yy%;WG$4PbLzEoalF+F!C7rZ?emfyAx5Nopz*}N(CWR=+3`=?D= zye;x1KqJMv!K|?9wDcYBUPMxhdYh*bO5RTHwl3C$t-}7GoooL9|DVU%@qzN3V-zPAB#Fs3+g&ufn-LtvsJ<4eDEm9jFmy zlT?{KFAffm1|yG%^a=4O))I7~jZy=e6h%Drl@4yj1QV@5U;%dD?(ZhSgww@z$t`Vj zc`%fYu`6)3diWEyj+F+5Zd+`=WuM2RVHsx_W(Z>160Z^)JSG_ZZQc{rAy=JxLZH(bEwiI z;h5~HUNDsa*FCy>t+)Sjf2ff==gi(`U8ZO>wSteZInMMR9!KJgK?8Q^MB{4oxwe}h z*wbu@V8A%umN8tDS&RvFSMa|Z=>8yxaN;}1)h%uc4Wiy5ozNX}v2BZWa(%%&dV#e8 zQBghEhpvrzq$IMoS9o-%>&Nw3Dug4j*CW&+7)v|9n zI*gyuVNAC}D--VHGM=z|h44%5Ae=v5uJFuewck$rD#WFBlIB28>Oo;A7d*m~>PQ%Y zudr-v5?7)Efdu_xr&DZ!6FD`jG`p|fADZ!5GN%7h3;193Uulcv0@i}HScFNcP?Kd8 z0&cPKt9WrgtVv80GlId$r19DL9RE8z#Q$Ez_}|Gn{hL~QF;}g_bfAmeA()4%xMc1; zNB#)0IU6oG7dGYhV1$?D-a((uI*mjOf{l#iZk#B%jAyA@a0ao*kcoUAR zR(dnirO=akypMUzv@HJxrY!4MDdkA&%Efq%i#yw*KSo1)pN5@_BS|T{Fpzb=aX7qB zGhg5IM}BeQ1G zHV_+;0clBs^fb>Cin7eobP*@u61IlX%f2I_$#^3(*uS5+9z=WjCCAa!=K?A6PK|)tWGK347Q1O9m9*dEsgp`Evq=R%GA&a z?NP7mhA!hOsDC@nRpUQ&sImj&gLqppLgB@AhXI=;3p{lZ@vch1JaB2=6b-P1J?Mz)A8?!rM7fAl+(Gx^w!;J}>?Gupi z(kw~KBDy4q%LOJBdfa=w!4rUaJsAB=6ffm{smpI}LN0aQwo6M7-%0{R_c3Su(Hj z#KOl4@}BL#j^C!5y+H2f>v#%{*ti&Il_*|np}#;IcWq6oxhWC9Q6ZA;W)^Tj`qM-) z;Z&PW>&>^Z8+C48gFQ4a)D5iaYnhnrS;7q#r@8hXu*4a+b3{+z5SbT?B0?Me0i3jq zsJeh9TA-sGm!Jk$tutaw3?p~!WkpfN!~s>aKJF~acV1q%|4Qo`3`F;FlDzKAkWaqe zEyeIk*MvoLlIWba>Jn!PA)kz z`|s>ka!s*5Q?Anzlabi9#3nGflcroOqdiR6%&D@#*4IEYrA;4dN0LEfC(zscd_ z`7Gekr?^trqwh#)yP;aU^mQsd1iN&!^>_`!VWhpau);j{=5EZ$t_#b`JOi44oNqR&x*7-{!HDRk5r#7w|^Dl|}q zXc_#)?ceZ%;3<8P7gn7|pFO6OzILaeI+kB>(Zj6m6o2PDxkaD}Yg zWTO#x32t8wYDFQV9YX)&-IEq=i=mf&M|CccZvWV zA4i5sQ2B3f|80q-$B>?F{1l=%O7ssVCn^`D^~SwzmsndX=C5Yxr5l5*3h$=U2p`p0 zoQeZZ>!3#9r6$y!umY0%WN*|HtY{|rn+PkKy2y(a+7P-cf(dVWYl@y*I>*2(ci{Ot zylh+D3?7cwkG~UelPDYLbCGS8aZ5GYZH#u1v8^r4+(E45D7C(Ba>DFa4WoxU?@%E|#D5C&1TBA3+)Rp16$Ja}>GUm>szhxs zX!zWpz%?}>a5D(#CHq*1Xy8zo>mx17_5TmXzG?BScxmO4bZMrx|%CD;<~2Z(=)u$K+a_u#$Fx% z#jq%{d7=Zjjd9=(2}CWLLIoqk!r6uC$e(Jlag{rRH(5P{C&g7F@ab!k2%6FkLl+ht zHyt}e9?0cwQKInfVN+1o@lF*g0uRD*b!3P)T_Uest@DtH@5gE*l(Oe1ROM>=8?nO7 z>4fAgQ-lvuB6VShPuo~)iN#ewUnhIAgVkakT)l>*!XNn2&z9a{2SVH7%;BKua4d9Z z-Z_hlb!(*8rAg>=Mo8>~yQBlPeN9%@%f6WD8`xVEFP*_Z?hq^eEy!oz4J84X#Ob;Ps_10!w1^ z-WXO!t&`Q@rc<;84o*Db#1@Ur8hM_A5Ku+W6VQ;O;j7Efbr6x8DwY;DDB6#ILAm#&9<))x>fUxU05*SgExpKPNNzA@W%~y-T7J~6biTdF1YB6f>HebZpve#&T+8_%bf95$kHS4@S(RH60^zf|~Ct zE;kfw4qpi!^nm^?O2xn~4_5n|P7S3`Gco$e*#Kt_AsM2RoWVc_brOG^lwJ~aTpEGe z*FU%v9yXh0O>N7TU)l!jwP9k8Fi&0!(m8q+4fB@oZ9Y4Qejc5k!GF$<@INOYN*AU|6Uk@erAl62Q^;(#Jfff!9dYT3aan{S#C& zPt5ltS36-dmC;Zv*RD*%_G19n-ros>2_5+~7|f(K1`tT~zl|93l?pFF0bKw4crXeY z;ng?KRa6 z;{hIDTpWE?LHZc?wfGb6v1 zCV=t+Tj2NY-8*sE(}}}fIza~t1w9{eZ(9A>rJd5Gqn;)mNt5)-+c&GxNl^@^I9|ya zh>io53yU_3I~LgX68~iQC*9*DV7Xn8<{kGm?|7FHJ1lwOk^_=z^ya6#{*#{iPj;KJ zU8*|msp@pct|AB-7RR})@=%S+3VDC}u+N*kTA|4}n5Sr*gk$N!G>g?VL`D|;C zPbL>kzc2(AFxoH9G)S>>GXnb zxqp*oJeBpxNHmzGnb_&jDxscQKme~&hCH+w2lR&?1bzkDG{{^{l^~(A&_ZFBP`A4QC@3OP=Z>;@nBPk?N+A51O1j1Kgx?4cK7zytmJRdCKPJ!~l68eJTw|;;75B;R=6xoH>%$sAQ%X+Jy+0Q*z zlNN-$K*5L5oa)y43{KkSE&NaOc4K%QQln*k{_>DQ_M=PsKr9KC^+`3DtffwIcnZil zB!=C9pF&mi^zrjc3vB0Ma_J|xcrWrs+>rzyV;Gp@l8h-kpH?KV6S9bkz8I)3x=!(` zBrvnZJz}>ZSSM~StjZ!@o$4e52zT@9au9Hc?wB^^`=|<2vt`OSZfX;N9X?SiS-Y~2 zIk6kQL-tCdaj?%utk^C|^$h_wmG;wf=LjjJR9iR{(Fb&7x;yF|+novF6hiwwObu1^ z89{vQXu54juuF1aAi^em8KdDyr?p!G2g1L){UT8Hl1g-$(Bb;>^T!dINyA8S$J+Us z?>N|I?hMv3w4CLmei(*ZP5Wb5b=E+@#L?jA0}7{e zB6`NHSRQlMnOv1I8oCR+cPhl2#E1e7@e7>I#Sf%S?BfD)q5wN?{ka) zKGIpV_2J!%{T=dGKjv_XLxX6#eNAg2VIqC0S$Opg(&6P2gt+w@`DTT~#TdQf*$jR| zr7^xr;#^bukc(5(!&rg;Xe>Zg3HCy$VD#wW(j8C%>~Thq*Si#j-wy=WV=dDAl*J_| zPk7N(@6<;sV4&_-I7OQJT}o3$sLY*kjK51^`29e1|99#nevcy0pXJr2^yE;g3wgFf zB-{C^uj5AqSP0*g)>}H2fOZ>_?l0Co(c;}Bio^eFlRVlhKT8&ArFdfXi*5x0Z8EwR z=AKvPPn61&^!je?`zZ_CNCR9_G0K!`Wg@OEnhf(^xVAP!lf|(U>*T}~04@i?!GrVD zpANLh!q;d^uJvgg!<|!x-%xm&NZ6kKd%~;}xBnjN+0$iFWG%>69woD8Di|CK1YzH8 zu!YpEzk5)FiKKFp^#h>~z!=EZrCV)QlOp4MrRge2ab`DQOPslYypo)}Em-{oM2stAL?DI2 z=o1@zXA&OZp{JmC}-?k4}%R z^mnfdOsx~P)aYB8he5sDT09-$KIRBJJ)-}fN*W1JuPG`!)@TCP`N03zfB0 z;sUT;n!dv@gY2-n4FPbBd{4AobEJ?@%A9oGI2Wo18WCiK*lnzmH)(yZvAQ6!#CM^n zzH9^U*G)yNoL(kME;JhQhyAQ*&^%am<1@zs6zT-MrMiMvVD~N?pVJE$J;kWEI*U0x zz!wgWw-+OCbr(a;J?v?XywzFE5!G|l(;9iJyBMnHsHZjZR%bECRL^lwYvir&VyK?u zp4P})oyD9`JtsY_k+-^wp?XewS|e|D7IRAVoc6Rv-s&!f>N)Lcjl2~uMzKG*C`L!^ zv|?EM@zTZ}pU=v41M**4{b#_)Q&0``em z%nRE^Tm?p{T$~MbBoX}Jn(RT|$eG!OD^W?7r8o*e6<&xC++Uxh?+DGdVdgtS%!l~N z2#N#I!mZLRIp#o&a7>2N@HI6zT%QjYia8I&`49yqtj?U0WgTHkrAE>{I>QtR@a;crtT*r%wo{e3Qf(tSLo; zZrDTAOlZbngf?<~v&{k?O_wFygVSY0sKTE9-GxJ)hxSIXpc$5^H%deoqWP+~RtG() z5lJ>uQqYc8PC96hOOavu#~4M=ApxiX%+d2m`O-w@x&~Ny-$|_Qm{3;@(}&y?yQlfLcvXDk*i z4|)NY#s5p)+r&tcWots}tmci_ARz&Z2MeQ~>bb{sc&59@pL;c}QC4JCb-h=al~a+` zRW)5LFn70bw+eGNZ!`CZih^Lph8Y;7*}w`kLShh4FbE_N%&=it07Ae92?mW2Be58< zLjoiaGn~KsYuC&?B0Z|7p7g3S+|2HuUAy<(bH4L^^CI7_gNPrjAKv!=O$$q7mI4Pr zU^S$oHkVR037hV&SG@u+})e_wpK$*mD12xbItd8+Qif#1IcduM4E!cr5*7lU%=ic2|_rY5`*sDKk!ZyOR=5v?sE&anpe$zroK_Y=l zOt#u4o#<$V87Tyg*)Xk4@B=s`b}23TfFp-!-jwjCZh)6SLu?KBBI;87wY-_v(ucgC zyTALyMmN0D-nk0OPCwgZ^^{0PC<*?K2zJ*bFuBgJn0FJG9YUTxQvfn4 zOH;w|=B~cs&#k|`BaTl=q+cliXwlD`1>*=7j1@sHP8G0{$eq)&;*?>zat^fSZ1`vB zAK%g!h1x*K3zA#5B|X8Oz%tl##m)+!c}C(wV&iyu+H#%dK)Hbt&%2nv5FB9qo;8aO zJiu{bse6TuUd?hzJHITF_{u~GHcCIj>$UK!mWYdDnzRk8O04|8rlm5*X4N`RkF^>E zX`{>8T4@Igs+qo7bBD*Cq3+cOCs{cTnso^gU;ekByrsPRnjztOR_O~K<``2y-jBMc z$Ef9g(8yX#WywZn>DYJ$2l$xYR_5K+cz5N%i8pSBI!Up*)H&W_A{xMn6*}?07hM0Cir?Swa8&V;Z1cP85O6STWO8 zVysKmxC&>~>(fPSKHKW?qJjNJUW?+Dlb7`{9#nnKs2CIcUJiYuLZOgoMmSnpgClho zIc99nAJC^M%K@7*E(JOzQ3*A&N!|pDuOhUg&!=xq*9ZqDr9(U(hYu^Slz5vT^_CXf z=uqXBLPyC}&K|UK0ZaZOPNTyJ>?$3n#8hI%HK1g)xj;;6-$ZiVra_n)*K{{Ma9q>y z&zxG=ur#|b7C%j3v*X=Z`N`Hr0c}j_$c##y*;qVJ|thI06)j4jOU;zI8&AY1Y-@L0n zpCJn3XgQ<7H}5LiDi{n!>S9jtukmLxjEPOqy}{AvgOQ&wnjtaru;09ka`yOk;A~00 z;}Vv_CA168Ide5qmm|5ZkLoj6Kob@sei?t4F1KhCmMEb>CN8GU;tjU>O>>GZb9j+R z$|7tq_;N_Jt9!M4w&3I|FuW7{%5uGcZ&$Vc_$0zxqwY~Z!Ykjrs}L7uDY_Xi(-pM} zaZRX^7jKq%xn58rmAcQ>(OsZ%w~osxDPk^O#|Ji*B%KV3>9!!?*DvQ*YsP1%i*+1z zhoh&XVY*t(ReNBra>|TOvisPOHFGc?#$vgSrxtom&m_ahz;pr*tIId%dAh?UzCY)!+uO0}WL&o=UYz zyjcW8Y?tu{*;Z15#^Dx5RR1bjpzhObtFK5dOWqZg^ToiASP2j&(o|NlvbisMkdOM6 z5xqP0h;9~&=^>Q(XM&Qx!?4-F_<@LSxUi7h%QBV3|6~gu5X+0_U1FM>7GlciBe74( zLF$s;VCJHr@X^GyVL8l$Gu9M1nuMj5X|s|3#%0>vwdu7KInocqlw)z=P*TcIs#r!} z6`Du^6}Bn(lAmW8^i9xiu&dA-j_JZMg$&lIfrqls_BDY0=-igmo(Z6HM63nh8b1sEEy zj6o%OoB6Nt#^1QOMg4}4PvIob*hG5OfBBs%(8IjrS&XA1YeVoQ+xcntP~6!qp-9)b z+Eh|L3?$mh%uTBJ=Z5F2$wd0+_7bvW9%zC3b;swcEzm!=mw`1UKX3lcy)|)kc|3wcYomm$c`@ zjYmT-sgpSS7O?Yc%K+EyOUcXZ0x4z1d(x{uTud^n=Cq@&sh{Ay>%mJg;pC%G#+V?8@pqF06o zZ#GYE@*Iq@FD{-3yj>Qs&vkXFP)>DR$@#_3qOz>vKChF0FjW7No(mS}Em(Ka%N*XL zkk>daYs;6U{n3_t$T*XDQAYQZ<1J#DF_B+v^(FO=4x`f^Eqr(X_LCOpPaI8?3^puM ziBDG)I)j5Ms$qBO?}H|oA|`~PaZ2Y6Sr%u>99B%_Ni0azr(q7 zv#_FnPx~um*TR3GcYV^2Ug47}QF}FSY=XM3+mP6GC73XvIpK~@pPnRG7yU~r`w&wD zBq|n@hX(yJI?_oevz&B1^>r1R;(@H>nz^CY29jRI4t%w=Qc>{DxdcUywWQvjPJ2WD zl7o$DJ8Fx37pCp%vl2|~ZGn*0+o+_L@?iu8U+zwaJZb(A@1bOJ`;ov}n4;k`Y{KTIL(5%3GOuC5^p=5&8-tUKOUNOSh44kB%BGYxg9{{CJL-*K{oi zfz?&n1RkpOhDc9q`4P+--f*lUvEEo1mRY`wIc($)bae3#XFYT~N7w1_}$t5^>dVghrd| z=v3QW`IQjqVZmQJ35dFds5Y=g&mrGgaR^*)b|}NT&B@sL3xSNC$|9|lBZNUMCSNeD zZqet-th~b0nySh|s^KdiXU7n(9pY!!MK4SKK7eS)VB28qfIo*4OG7!~5O?NwOk zPby!6JQhlL-&}=jVrQ!q4)qDqx#|h76jJIzJv9I|fUQegLeqGa;MX!piC@H1S#A{# zu3DXK4x?MdXSo0Y`YD=o7|R*zI)+1hfER`BvIq|bT%n*bE;iR-lc6PEKiZYMo$2_G zJ51+x*q)O^>Y)d`CAFdshG3^&vsTiu-#_sMeLoF}`TED33juk&B17n$L;+O=zlzH= zi#|=R;k$qvay45@KQPUQh(kNbU&$JS$N9*sSqCg_ zOasIE$i(6`9LxQbaVum_Q6)xY%GWz3d|e7 zTC?Mgyl&B}O2kU>RQVFy%M`WJ9Uc()BA%Y8d@9xUcv9xscH_03UVpN&)@UAJG=On` zMh1-u3KG+srYE!8mREE4N8+WW3=>DWDPQ%o#mSB^OV#XJjG2XDaKnlCs&4( zCIuSxzui`qj-j3Em@2H-Qw{fdb^gI8=n#u1WQ==wVn3C5ayjgu9G^ZNI4a#>GQNHw1EHmJ@`D9X%-i4O_SS#4eJ{8GKFM{YvCH&PBe*4d9eTX-~A^~ z_-o>IoNR*2ES^_mlLHcyH<{fl^9OC*mu$3ReQ%&awsgBv6T|z72FMak)jgy9}+!pNzjNcdfTAg z$5y$S8k7K4<+-uQr8ZO?fO;YC4j9^r1{Q8w#<`}UIo9258S<7k;7tu5^b4H{7Oaa$ zlWN~91(N60Yjpi2D$&srdPLP{cXbMD;3m$394>q*vh}pXZy^9!6~Zw>6AXfcoW!JO z9M(2bq$DsVb73>J5A<~3uwKyR0YzeZ7F;2erJe1`O*BuU!Tua9!w)QoFgb3Y(<$i# zV?k8SR~iQfvrq>t0=JA|tV4`W1X|%p*FSzU;yE?p`5Yx|G*U*)j!C|uHkAG`g4z>x z&*6Vwz}#CI*!uI{2a3jcWATI%hRiAsn{?iLfm3vKV0png6&h@Mn1kga&o>yIrY6B0 z`@i0KP_{E~cyE;o@u(Tl2ZvTjmnWf04^re3-BUwLIz_mpHB;awUF?8wQ+FvamAkC7 z8`OD8Qn(fA7!IJcqmu)UcStjShJv@MGWh-IM0Mc-iP`sgEsv9|tqqjyR_)^6`;WR! z@9p626Do|E(<;x_S;JGx3&JkV?CjQ5)bMrQd+)Xg9_E@elneEhDbS&z= zB+4Jn5t&%g%oxA~j>KR*;^5(5r!Suls(~!&fG|0H8At*i@8Beb%UO!~SFq33qFOWt z*1lWReQKf&b#WTqGE@ph)@yCK#R`W|6KEJc9iJXs>Ci+_bDbtPW)sov)YpFSR-QdQ z?f0YZSSM}Yq|0)fZUT)|mwpE$d2(_BtLlLzkH>B(X6p9ZXEGz;qk1VRR! zbHCy$dsw*_m(|HhBTpyB_VMZrHkJp_GzG;5&)dE)9|^n^1Wf0u{`%%w_M7O}^sUjI zzX6;7*EIX&&+f1D&2JE7hA|P;kv@28#2lfz4F8FMNCQey2pLBa#GzzG9hGdQ|;=Wo$FT*gj+B;by^_dwWbEBxZbYytB9Sc z{@Z8*mK~PeLPiXT3H)|>PL%qJWW?C4ZQ-=&Ei^%zQN8x;}R&bLno3}7rb-`S12p`gmY?spBBg>5v?DD z*{TqomIkdMMSy95m`IYgWgIIiqjbDU#bwG&a=#8|9>MovP(EbSe77+ki|PScroB=^ zXVQyHtc+ZnIdU_rav1EoiPNmCKsR4G49QFQAQ8Hcc+i>2_k~hhk0{Gzv&gB-FX>-c zD2wadD#FEEJz4yKB!S#Z=H01$;g-DWbRqGJDkq8NKdkmh0q|wU7~eTZV!l`LIGT%! zM3DRvII0G9PWge#ptLZA%#)b&k$A>)Vf8HTFi-@^GYpl8@EY-k{9;=;Ujvm?%O$hg zZW4uRMXw6XndS2RvaITfTX~{cIO1*?FmWbM2~bQ2)kEb^Mf2g(feX;yOJ88qrXP!} zNB|~WzwKLlh%RW8VqAU~1K^jQL!^hiCbmKPGZ|HoH?< zGK_(9?o&*UDg?7hZ^qv{^aS6e$t3Fbac>}69%N1=MkmoB#^7p zO(p0%R5}CGSs6#}R{5r$szOXp7lQAtS8v2zXCtt#JD6f~%DfqS>BZfDNjs%8DazVY z2%YRumIg;$a?=#J-1e=vyX-8%D94l#)6QiG4o+DC$_I_*U5s}4f}YX0^b9ww>Pch= zubf%WY>%FvlK64+H$*SVNZ%S}Sd6SQvzS95#ufPtVrBZB3YT?gsS_VBp2As0s1Ynm z{Bn__BHz|5j||fhji2J0N}OWprX*>xel+!|5s*>n z$x1^TDVZwlOB(kp7DvaTUc&Ldfn8FUe)sRZV`(<&V3-YbPy$ZLclqiTj#$(oWem#2 z1KoHjq4MqEmRz9bLG>#t;t4Vm6p7Txir3lvCRf!2sg+P~K_I-+2tBBF= zq7kaOuaq^U5s~1Kd>v~ukgoka!Gx-y^Z;| z<#w})zu69w;ZZtMc(Sg;y!{Qizl=)e5VF6nL2yF8}0-2EGY9R3OwYaD%$zpjF^PRn z;J586C3?zDEn~2qvhQ@pP2ab*j_maPaG_32!!9+*0vj&dAhj_^ugn?Y6t3@q`Tcgq z?v`?iMmwLuzm}~CUB(mqKs;U1ckll6lLnuet6!)*V6AR5-xAOd%IVCrp+DnnhUlnY zlWe!z#gc9{e;j8mKG7*9Bh*g5bK>b89oLuGY}LWd0e`uy8m_LoPM&9;o97LAE3~V} z%qbc#WAU`~%d%z{x^ccKYe0+hDp^D4OX%#Us0kI*)^$B&3*iCKS(m9k;@OGFN)u8)9>TM=yUkQ z58Ts)X$!kU#BVc?xARJ3vZ@KezQ{%gx3I;kJ(ehU%HRU}C*OmZgJe@Ae1QRGbiu)* z9!6J77mF$vyl!Gb?*rj{p>)(ue3j57sM{2*0U`_OvLd4chs7Q{URX?xKg>p|c=G`c zPa_x#BwA$WbRxpPwo0!n)+X&z^46gZjx+9Cj_Nm#9I?v>p!O>;Y*xAob8_PMqZGV3 zxt3U@&}g&uHY+7NgfBNjV?k|#Gn-;25RZSbYfK@49@_1?xql*OPp?Q555Pyn=VGGz zI`9OiwMIs@#|w1C_acWOtfgKm8y{n;w_U5UXz#P_q^!ed)5S)8@yT81nZ%5yu z^^A(`To8gyshO4+=XJZ^MmdU<|ENt;-XfN1_3ONN0Vd7Mm++sj;s0z%e%PnuSvmEN z9X5&@yg9sZYL9=A9>Yxy+7Ry!d42FD{gnqqiiiC^W+nBHVqoE?z?5qjo$Cid03NO-!kMvUx%1 zH@0CG3WS1P;hG;cpqC7R5DAzI+ZExjhlBcbaKAZrTzZ!V=@@l$la^p2#7PD_c|6OY zY2Cp|eVbI7P2pni98n)KuEiL-kqGqZL9;PJ5asa|ts8^Wf zPA?7>2r6Qrd}T4ithSf&6p1nlW33U_kZ$D;$6h-guQJlYad~Q`y}jXZ){8wzP z)P=h>A)ySm&G2KzM)5>yoG^F)&6B^cN&dZBngC?`(DC|RQT6Y&n{SN|=i~arpm0?A zTT$jWN@}!%l3CNOett;X+-&WI#6i%RNYb)rka0z7$qaU}Ga6xwkO1S$spESOefagn&9wc_Y zD^YT3Z3UKnj6Z9A$rAIKEk!IcA#L*iO{v{|GTA2Rw@7>nObsG=qj(9?B8V{%u7$xY zAFkaCVe^J7(?yZ5bgT;{8;f8jE+^>-Lo%O4>5uz*l+zy-|3~OwgDCERe&AkVS+3F*+3o9m!)RD~tRhvE$0deTaL%HZII>S@X2^(YIzhh6+b7zXWd?bbjfmekE zEQLu(otQ5is>NE4_xZMr>j|>eb#}_+1x-d%!?{~F`_kyd5>F7|_MobwU(u&*rvoKm zqO8jlHlS~|!~XD;!^%qw#b^z{l)#^X0pJU7F#!2@K7l9x@)iY7z$h-=66vQOeB`G2 zP3ddJ-n`9RS*LTaK>Xz`3M>~%vL=HSOp=YvJ`s`7Z`ix(q1D~}Z%={(n>qwxAf~$; z2p1$(-itnjwNe7lCJn3<_k^8vj<0b<-7<`cK7?zh|YN@N(M0b_6CU%Z!ftS zcYpGZVkV`}=N7C1eI&8SJP14h=Y^%*a!9YENNE<^iH&^On@p?C5)sYIKfLK2_`9Vx!q_M8iK;3?qD>+U34%W3=blx2Y!Kn(l5ioK{Vg2=$8Tga&mG|^D!}a z1?`X<`#55CoDL-#*3jZ**a+blc~Nbawrxhyn570Zd$lMzs5OcxWF6V?W1qrn4tA-l zn~u9MgSq(8sH^Tduu$(&7n9@;tfZu3<0=T7rl4$sdOy1$;bGL{?Hmr5uw;$ToJu#j zVU&=?ZifmriB(T8AOU9Q(@XTgXR(hU1coe1(?073>+f z?Bipk1_q1VlKvp@sy(HrX))a{F_X}qw#Yf37nsF_Le<8Cnk3U$e#tOKNn}Md3-ELO zOF!Mwo31!^K6rkA07)ejZ?>t5-E0d(GeUdp66zF&8djx)HV-?B@zy1PiBaV=pSk)}3wV)lsK46ZO4*?fmkB(U zmy6iS-|~~kTKd3uK1vt-qC-7cq^knq35S?RGglgL4~{FCo26P+&z4oOkV**ySg_fR zn<595aDgm+>C*fDcZeGt;a+-7R_WbmwQ}_FDoDj>geF@T6{9^jP%?>X$u_`tbd}~o zSt{d2C6|Ly*Q%&Z7#OMc0_3>u&XJhCqQS1641B<^`0^^~B{X~Ls7@?4zIy1J#d_l1 zFWuL7tM*e;i28o=WzY|+>$>OItkcb=oNSBvBAhI8FKtsv)^i*hJ51vqe4sLwEAtEW zR4VU4b8g50&3q3Yxorib2G=MPp_Fj)9iDu+U&oi_wPN9An}fFMKYUUz0B7b)6DkT8-0IXrPyU)=fxIBQ zhOc+{Xk)l`47La1Bn|(y#S>$P<(>N0vUd(BYH~~9*^a@C>0&0NIv#bpx)eGk z_=D9Jsd9JEheTmQZ~E?EVs8J`P@G#w%^C3uGz79J)iYx{WS^nE=3w~hqfadiBC*Po zF-TQeg&CY-3wWKLOlF#t-g;2LEET+wLDj2;PI1VjNv2Zol*Dd_dE@cpyF&Ic5{P13 zyd&Q_W!MKCALN5d>jBWx70NBaRT-rUvG5*QuoNRMp=E?jKu+Buvjk@tay)j$B8GvPSh8d{LEgm2BCE6l%~s)k14=HELAn9H6hm z00)Y6?I9P$p+9lk}K6M?^UceYp-1rz*2JHZmevH ztO4{=r*l~L7I4~*x3iQ)oNv;rCJhorTSDw~WrCh=qiI-kM6nyBr3+!+9+}Cde5JLL zhr}EcC<2yP{NH0%o@V(?wOy|+vuHO%(By|0GkGvRJ&m5jZDcGpqVx2+rg)&dS)II_|`a=zJTa z)2kzEY8hW9_^Ebg8&U2`E|GT~RsG0DJqX#OZtQ*++q69g)DWW;$vj`_L+|Rcb_7(_ zJj%p`poNGn7lv)i>PW#&Jmn5wpjzb(`F3FVR7vN$Buwo~=h2Ao{s8{@A+al&J8+Wz ztuO-F6V}>45V@XW+u9VAhi3;OZ4(5vqZ1+4Yd(I4A<1>!-XAi#p2PYF?Dt+ctg8s+ z-QC}BOZ8LhhC9}w`0+8*(si7yau+~bmst)cD*_p))I5xSQFOYPW2o)JElv}3+VXvV zhPitDnMx$CrKhkfLrGJ~J63tfRg-lcmoScaoW0DFWK*jHlNQW_C_RumaLsiK@LI02 zIA^GTAR3$i)BUrzp zHL0=3HE;&2=Jl}Sa>>zDSu{ow_9Y$=t z#w$Y`q|eKAV;)VnB~+H7L`X8g<2Ov=GS05!8Tu@eO#iX7@SAX1_#zdtS)Sxu<0L-4 zs@~+DltG{FAa~kwY|Ni~OEf_jR zk4T=!{kPr=JA&k#O{+;U5@2fDi8{E`IBWuEPY1_Q_vDn6B+hsnJB;8rDd14nk(1Mh zYDsK#xNNsk2yDcUJ_;vKPol2KX`HA*IPu58)6)pA3SDbY&adO_pt2#SDoE0vQuqVQ zL-?ob+9guQY)|><^dJ7DbtT5-mr}!fm?qxCgmD!K=2Ro9=#Y>VAx-x9tNQWYS77aGyjGC1@F06Xw=*DcMH$KxVQ|%DiX)9nqJ#CPnzfo zD;sE23fQcmBUzX`h0;{{j@CI}x2Q-da_UZ`IQ#9j>n$tJ*=Nx#WwfJ%(bv~y$W&VD z0q#}LNNt**vTmT%*8{7O$A4NVx~k|)QS8TIC*c5%?#%mWfvsS|+c$L_i&w=2_$$Hr^{1Gi zF{2nuKqwC^Ke8Hdu1=>gkZD{pO|2e)Aos>PUc)67Z>tHuc#M+9CHjo~MLjH;JzEUN z6)>#DB4^2~=^O;fHr%os@&(e+3Joox7w>ma;Ol@wAzcdb-#a)5SA=5@WvT z=$E`gs&!LjNm%d%@Ax@6gwilrymJvFz2^lO%n}8KK40T2v)$7C8`YVM?zq2i;XZR1 zNvQ0F<(?iMAH(mlrOUvj<(2G;HJlh>KglE21p6J>@axa#us51cePolB#!kcAqpn1E4jLV2bsv=HA1)Vh zkw#gPPAJP|L-Pr>vN{&cPfZI|{wGuVgu@*7X_RETA||o9M#WgPrz$Z@)?6XpvA62t z484kCe%W>E3)+^@I;qLQTh)5^%{xstpH1`VL;hfO*hq{>%cIyt5gynVix~`iL@hA| zTkp!zW$(mGNhg8-Ew`{9d}n>{@Avx=TsSZwTxCS~Bjv$x^EGb=U@zH8z;VDEWkJd? zW`nf37Qgx*z|SA?&j;=)&u@VRbbUze$Z`4RO;R!rPLO*6@XjMmsL2%%HbQHkhqzpbkL-8u%{NofT9Z z^+Kgkmy7(yFkLzBB#QnBCy_O>JbiB1zjT8Z5JD|;iBD+aA`_2`BZ8C<&N`G8eSC(0 z^!bk={xLj`^39&8>F@sL?~!Dy6Bu>vr;l-YjV>~@h&hH?b#Hu`F5&x~;SysVnm=1( zPVg5O^pAtqEd^C`wH2uWh+kjlt5p)cOtu8G<`9u%TvoFAX=Jf9wXNf~Z)?A4Xb1g$Hh0j!UvsO&C@L7owe213wY`JA zeRg$oTQ_{T*M<-G_T~NdD0t~eH~eU?4L`bP!)sc{NfW<-r(mB#8I))71h*O7-TwXE zvPT@TT4$GXeUp|viw!{XNyK+dA8DiA)LA9$N7ROtPA^ejXe-Brth>2VCULS!(BZAq zOMeHMB*eZu^YVf06s>*-VQ%oo`))N@VqZW0m{}!!q(Z_~9~doAZjXgX5%+GGW}&QR zl;q;<@CbZPHVfN;KEXo}vDm_#9n*>DCP_kgbNo3#6pBb8l~dJ%bcXK*c9PR-bbW5C zPgP;1HLRg<%8G{L4)cdbXZNPlSLIy6i$}p2bhaZ$;3aClbrct55hI~q8O&Ij+xEGu z-v?HA_XZV_@Z^@kA7RcTC&du`%iFRhQ`&U^{aR}MP4w#z3YeaGX{lqXhvlb^MRYVk zN~N(y(;lf4Q&m|I^T`4<{a*eH`iCj!SDltRe1M8(X)@3Ck8hu$7?M4xOtI6mlkwngio;QkOKAm*h_B_X*x< z>S=y6l{^Rw3mqdYeE!5(J)8;_n+)`K!QK2NnySkIf6Bg zDK$)y#nk&1+3xb)i9GGiBA`mni-pcjuyZRMRDzXQ;Ycw%9Q~asSWX>|L&CRQW3N^a z@QUJQp>SfBBIb((d+{+2Z?=qYix5Um&RfcTTqc{|%GvL zP|rS~74iJp3-if}oDXVo(CkPyPV&LABp(pS@a~^r*sD#G%4wy1mUd4muyUa>b_Oq< z{aS5YuTGAvTGC9yYW3J+*X`x)VtR6x1vE+gG+32;%bPo%tA+U0EzmXzTM}ejEkJwQ zcwL(@ONp``02R+^VeiH)K_7-mS4hYKR!s0$OrpYKCh_!YuL%qStl(LP^W)#Gn9t5w z#U?WotgHf7KWq{$`>*m1%+MDhRWy6#Xk&0fa3YN*cBHXi>YDkXxWLH%*AkZ#zVq^pc9YW07AO{WlWKB5$OX6iN%|A+jt?g~LaEdWbl^Do%rD)^&menvz`#Q&S9zXj!}o2hGJwqs;nk!3O2pp`+w#b{C5$Axu!FuA!-f z^tA*C@n{0t2owl;;wbA`dG>q*vE+dj7jHKU@-DX*4+gr$BkfY=9aP8{Dz@~^LZ+^I zrFdd(;a{lb6B=S}IP8!XozOjL4%A(NQ{R0~EjW$;-=Ew+iOOM?^<)*057t1}ymbqj zn$GNeV=U=epcvbFQJG6Y&xPHTw&j$L;e{49evKAfzAY=|J>$aIjIpOpZLa(z+rkcn z8Jo;fM}}LOn2c!!2S*?;E=3yWyUHW0S-g^g$%kG|8($jFmbeve3bvo^TRiLH;Ke^ zV68B2TmeBD_n>7A+d9VnYGbFeTAi6|5S-(#GN+t%jxyPB_DnOGR=)4vFAX}5QtLWr z(uM@PV$wBF=1B5d)sMC`qrJQ^)i;*7yZbx4NoCK`L|CyF1>K7u;H%_@Q;nl9<18uL z;i3o+n?%p(V+-b(@(oqaX;o*Ph<1zeu09kbv+Yzd5oa((GCw_$E2?n*${tW|k(mva z=0Aqd^i;3Nu*S`jVva^HA%)4Yc3Kg|)-GDBN4O1Wk?h1j0N*4NJ1C^zi~Jsa@%g8E z=%nF|AM5|YC;xQju}H+xdAy2e2-gzWF@3T4+;lfW0az+#=!d0mmZvg?Luv05<+?CS zzPiiCIrF}V_FNX18_8hw-bk3$fEDh(jaQh-s(j0HJoJ*eaY2izl5r)Dcqi`QviED9L19*@9W*TD} z%BHuBk*G^d2t^X^Z@P4W2;EZaOVJhAmAr*pCZXMB!saV@i z5{Tt=cOkha>}|jM8??k}T?PD-ZW7`=i7HITPaHs*=0Tyy0%7z?ifjI<=PYGMVhPuGIcBNVfYBfPmP+}?S z((p&?1BmqZlN?;8zM)>xMYYM!Lfw4;@w?FfbKaf!g7_ak4q! zX$Z@6Au(Z`p53+l&cjYwcb67l0ORCv^Q!5U4B}&SOE`Bc-Kut@w()oWv#?@JlLmVb zg)w0kMxU*e_-R{0WKDFb5Gidfy6y**m?EJ@qQp0^sWcM|Zgt^jRgjk;Hpo4oKm(fw zWI@*{r5)g|%E{t&ph^v?u&abyeRb5CEv9NS zpD@|8B_()Ds(vRO%~bT2W+d`C{=ZgNdB(FZkSS`7$i;qrGCr;wq~w&pNPUO7KA3*D12Jrm=?dg2|0{gx754ingPA z*A!-zhYnEc^@^nkd+Hpl`9H}w_*&=m(@&xNeO;W%;7``u3EFroMrkkeDY}BEiZ*}@ zZK{ubRbLA^hjl^H;IaH)<|4}Vxzi6HZeezp4^;u)4&!xHQAC(l!|E%o>ezI%IO`m9 z0%Oj`seum4qxRSEqp%tMK+=HT@DF-LaZ)lbf_$JglBSqGxxkXt^!3 zbosD~UedEWR#c`}5A4qcJh@{fIh0jApceYD>0ww5vUE;IR#Yy9Ka$IG$J$r9etO3? z$RSxhwsrUgcdm8Ao5yU|N@=eSR!RFd6{xc0cWK1kXFv5fKW3B(Zh(RzkR30;WnQxr za&$ht2dsIy#SpSmfL>I?gzh`&$i6lHwE7K47X|D^6b*qj_&_2Ov(x_gMvan@!ln3)by zu5vq_R19{`D!Z*T!GI3QWrhb+&Tus#H;n?c>$%Zfw=4o?Vd8MSZgRJ{R;N`FbMW2t zh<;M_wLPB+oWeX#AJdLcOKi!!t@^a!){Z#C_OUlKT_<}O)2jRw8+}fBx<;V$EVWV8UHzoZzZFpi*flh*6Kmd97Z|EMKR-owWr(=Pk zsXUME8>VB;gFI8~A2k5#>a#X*I`Ak@j!W@zTXWOp$qWx?&7#WABUAd0v;QsX@D`IA z3~eQ|-fc$}0?CSIUWRYyXTxI~Djj3u%{tpsKy-M_h2m~<%ib9ZKh)6a$1Zi}+oa|O z!WDHHx?SsDV&05UNlLMYqsS6QGIBq5VH1rRv1NyjP`lnu1)>Z>1sdRAvPw1^V!Oo8 zHcKy+dQ29tYZ3f-jTVV4+1OfXG<061sFE14M3(gemY2fVdlEwNWq^{D4rNA&GQMJj z6XWWwI&}8y@aTPH*N?=iDR{NHBuFn->F{AEt2y$zxI-N#y-GEJuS z`EcvSZOI^V&ca<9O*4a@VmquNzTqB8COPJJq9Y1c$O8u&K$lRX4Z64@)(I??@ASfH zy8!4&VGP6aGcZ3;vtxD^EeM-fcfjYW>}F1vyEGBK0`LROo*$;2R(<^G-mdL%?mF=% zCF)~k1XC6qXZpQ(PcUSPa0QivzyOAMmQUzslHh=bB}SmLRb5z?L0N*^7!!03_4q`X zaFC`w4*N7!(R_!3YuHgr*EggrNh;%+eh&Y%#0iu6HihQHI4#qnfZLx%Q#eCe(3

        4gcsn4;Q1d5(9lfDy>5W*Ev^1DF2HKWA7M982^$jx!zy>Flvxo&Ql(j5dr`GQpm$NEVXM}< z3ttLGssf#j{|_$UlG`qKF9_#IMXtNkUN)nnT(Xr zw`Mi8hFc8*;zvxb_Qg-ae$iRyf}y+x-4#p6+m$4SiS@Z-&79{fZ_CGVk{ zFJ(w^&)E;ytaOA;>fNZ-9^LhyR5K}^97n#S-bsKFE6yg{B~1pg)Mq=xvOnhsB0CL7 z%?YObnIYwm3&Z*-nG{=GrH4Z_az=X6#*-xTKOmWFbS;Pxrq(+e@K$hmvTf5Y&>6Zh zeY>xfQNK)3FW9JOnt@W?IDdg2s0*+-lRWzLwa#CI*O?Q7{|lC}mtSn-NKaIGt#&6X zDQnPnG<{rrnZh$M@s8~Gl$jP1Bfc)C8KuhfNzLHyuTbdU+fXgl8(&qXbpXLsrR17V z;FgtaU5k7PwgBeJk+=iW-S+#3eUv-U$=doY(jtzf)W;bEkE^OS5}-Nz5A`(!V5pFF7U)4kMv`k=bc_EPuRgX$jbrS8##>K^Z%|fp$e?_GvgCLYXx$jDrtf$ zlW_c3cfuW)$i!0rhVC1PuYEap@7>3%;LbjeJgV5PoRINNibNbThe^=}{<~rVbk|e0 zG0#79AM3I%&dd?EBnlch7?a1^dE?tCIbCaRfTgz%=jOELM_3s2+r=3F^ z=S#(qpej~bVg0AaQr$12W4@!#nMt?tVQjmi^;IVnOXSbuwy_2nSJ6D^>Q_CfsgMd$ zPYaNe#<02w$pw9Iyr1H_r-|TY@C^six7$^METDazRE${4++t!uo7%Fa)eiF}QE;M4 zI)O?8G;tcT<~aZ;oGV07h@*%agSt>E&xT%hy80%ZUU$Dor!R7=m`Fhhe^B$L)*dy1 zc>`Y%dR6%D26TXo$2?gHL{T20;#63qfK{);CF2c@U2R(Cne|Entq4<=TaNTi{9V4n zZJ#L+v=2&0ofo&+cBxsj8oL~}BDxO3FnADW^ZoKvW2*!{-whIKYVo3QK%R#f{{>ZLJfI50Yy8IM6Gia8skm~}? zYl-T~6#nMj-uRn$51QM1_n-b`2TNbLvdD_zS%-vD`E?py#O-dYQtbqGbciWiv~47O zCM89Vy(mE_QnARvG9gxIXb;#Z_yKn6Nt`eorHGrBoQ$CBZk>Vj@rK-x0;$XkhdIXO z^mk83Ax1KXvV#ZOXG-8w;NvU_^Cn*ayuJVB9UCw8S@q4eKvmytiz~#2U0}5La*DRd zr|J9XZbY27Mm9C5U0SW#Li!cNl)BiWP!dkFTjXpk-A z@1yIj(NczXtOS^i!E_91k`rIT+fz5o!1z}+($4A(hVxY+haM3%1jp2n-`ZJ6g$>Q8OHrwN!_%Y>h+-P!o>oWR&y97)0 zid4AyZGImU%pp08GyY*Yi4}W^8aQc~&4}*~p4|&{=d1M-QMH=!D z;F`bn2e7#$uLE-r3;nZ(W=4NMnvW)L0=&MY1$-AiVTT0xu$q4+{QD7$ySo&>UekM~ zHj7Evf94+K#ac$*u^%2tHmsM5$KV^rn!}|(m~6PhCmijCP4aUAcI0DFoe z--^UdEyibjO$GT)%ynzk@S=xe;_`&B)ViJyPR+MEAKHZK-H!|b2m_|nPIr@GKUE?y`5(KK{n+s_)-gaP)@HbPQ5Em zh-LUxrTlw~s4Jg?6GL3&u=_{TNpafm7i@^c%Xkq-x8Eb{QgQm=1OytQ9r6#ffLJ?n z)*xnwKO%|I%t$%*{eb6RJ;fNOa(kOVg5eXN~8rXQ3B$uN@(|E(XQ#>D`|^ z;mEAou!wZY7G;n_i=He7Dh6kjWQJTdgiv%51sZdsKvB4@l+pWat(i3DvJ*P<)z6pp zb~Ob{PsfRPB|#Q7=g^~99j8%NYOtZQZAky+F;+?3oWAXob*l<+P*tZQf;(Cr=YW9vZ1)-SdY!$SE4l8pfXT1`g5ClEHX+!wgIEgI6?C% zZ^I=ynI)Gv_hrY z7l*MLVpbxRtg|5HuDV55L%Zk|JyplLs~)u1qW|v6o|sd^TwHeIQ$1tqWsxtLGgYSw z-y2P?5=x%KKJ|fSkb7>Uw78dA8btCgVHflJVJ0{*T1IXB)d7TbxY?chJ$&Lv&Y%MY84I4&_g^jod8X z99lXzwnLvXvZh&HR>*#L`CeiTDh>q*rVeEXu?+g)*a2hH+(5$lDWMMDC6 zBY2P8ME~A9N*0pB#bvpzR6sx0hd-NCY|f%f1s?^wN@Z$6BMqt-|3H#D#X`RYPBMk{Lmx3%333&Au1D`{z2bBBgg?=UxPJE#Qm&F34FT$p^}mcgZ{Oyp}Yt zEIZNkyj_&~0oc88DAlJR$s4eH77Gc($sP>+3p~C%@GtOifQ!VBEC*n9ZG%z6LGrMe zb)f73_lWtB9>PN6scWL7Gtl7_*CzR0(s7=cQW0Cv=NJuNbUG z5CBUhwlgZLp6*hl)BExScSe$`}WTU)*fsI*Vb??wP{K##wrOWDfM!f|8BQ$KRdhW3(D zhk4}HcWcXDxt~M6ng^w0@xpGP3>qR%wJZqQNsxLE?1LYA8P>d_D~djUtvaD6Red`o zpL~^M*3KkMKuRW94YO8lgNA;)MKxi3u6-Zbz*II$Y$mN#u|j%cY~)p?3W?smRf|m( zU*7@oIO8xFvqv6dmRhoX+I!;V4+M~>)Oh@^r06o=78I%EF(&Vgw08%&1jGcTW^$3R zS}kUmx>ud7trRmDOC(>#T}NORSPBCg_AcQ35DbJrU0VPUF!{@X04hJFK8XhdAuQo# zuIO>F5bjuL24~Vhtp!8qtma6eAp{D`lr@v&GFMQ^e7TJE6!=W=Xafr0XiQoFEAd<< zIha#WD0NsqI5kz|q-Dx$vvvXqiIDm;jfT4MAxH@L7`5Xw8zB{ziPU^`%i%(Nua z8420oQ~9f`bS`^zh+s-xtIUBav6Mv}K(_m88r@^Pl;!y~8Kf{%Ua4^MdA_>ljL4|_ z`qg=WLi|_k3bLHfbZF^yJU!-B&$2QloK7MWx;ZsW@zn5|_P#pbmFPc-H-TgyXi}CE zDKmOL=_cFKgYs*aA~lvmQ_TxvXOiDe(e*gvxOKSO>fnc1Y3uDjH~7_S5$Gzn@QoGe z_j<{3B|!Djks50JqYAy6rB?~+zph}R*r+(ZbePYU8foM2Zh}ltDJ&doNr08&FxB`wA|ACn&&~A=LYxv|M1p_{XPnZ z@pH$v!}sL*sF!fqMRCy*RtIG2;o>6snLE`aw~qfxXYq_vE%PjiS27G!Eg+L~dej@a zHR|3b<+D|O@N;ZE9Bpm(nrX^%h(oZE|H~|)i*f_w;VDoVn%*zM@4YQ%vdgCcm4jcpfPXbfx4v!6AeW!pHb+#~HPciB;p ze*CEc)$b5ZwN~jKZ@n4~%)hxlHhCNCihe1$ZQKXr^;#J5N>)@cD`A#z(-K4LU|2;x zGBcb~cs#1@G|E($rS? zZ|OV~Qs60w?lDk(B;>_oLZ)-bgm2q&bXC_LO!~{W6I3;o+jWWQbsk;8Imgo%F73iJ zJb|=jR2Ynl)=BlM0zoE;S%(`X&nRk@PPh^wb+ndLOEyJ(of6SD48bzSrHhlXP~S9z zPWUV&8q1`03e@27WRbanT+#H9X9&>2rFL31~{07Rq92jQ5XN`_yFE3 zi2_H5G`Ig0V=glL-RcQc@jK4*>=NDYj>2**(r9`X#$Y@VtVa))m>X!qu+){W!M3sZ zZSgj`{}|oohH9YR+TmtZlX>k=q4fmnk&(2B$SbctmQao z8q`*t57TM7h9{~|?&{ zSO9=Q8B2!1Si4v8M=v_LhJ&iHIJq6|G35rfQPr0RYBlT@CoCM*U@MfNI?%@dl3K`0 zN6kega_LMapV7u_$jB1`OU(N!S!w}u4^C{GMcI~Bb@!q|09Vxj()4dO@41_^BLw1| z&p$c`ljC!G;v7fl|VpZ(cbT-X3irtyutx;sn4uu-Y_%>m+ zyMLIq8PRoWBklA@bRMtbSxSC5zNIdgsw6u2xJ+@MKsQ=V2t{b)@jhI5>8z=nsw#Zao*E_4;8OaYuI#lF0J(oXyG2CYZVvX-&B0FH9K3Zm2Rn81?iWp4uV;gDny!_& zS|9omIT_#ZSfq0jYliBCkz?27=vJTq4)omk9ouRTmR_4a9a4jKpb<*U9-+0k@JDy7 zc2gT#rgY+h`xm&}beHSJL3QV4GDJM((I#xyQ-?li-hwGStCFFO5ZlS{>2Uni5$GGp zvv7dHi^pnn#tHO+l1WPh1n^#-oaPJyRip2%NFL(RIVgsyp4B z9U##ZpHWfyAS`1gDHAv)63K61odkJXrosLUSDZr}(t^X6PO)&^$8dyQ*sWZ^i+=`> zz|Nu?I7`+r>$*lw=O)Ip8~-feNYfDS$b%b6rXbBk^jDyCaorRnT^y{7V?s#*mRFsT z!&gmg-fv5ledLxsN@c}dv92|ha`)#69tfwND@R!ff4GlmgYO|y!VS%=^kESPf6CMf zIkkXVIQTO32h`#lJqXvP?x2efaO}5_# z<1Wy|N;g{@dQs(LTSduiJ5^u^>yg$qG?*Msv=bZQDG?ZrRVb#k&~sH9qw^H?%P~#H zQpH%r%gMHwA4W=PUM1nD(<}R6ru!9d78&Y|@Jm*=8DaL_yBDH<^Lv9)5sUf2w^18Y z)~#~j@SoqTL<|MtiI@|#B5)wV~iG*GS z5ps28LE`Ib0m`YR*UrTI9F@a;KbB6RbF=Z9T~V!!u@7a1ZA*hXw7)NL`aMu9_V6AY zua#80!?$5{t*3B(wM!ygSJ@UKZ+-X(vh?AP6UnQ6U+|&Et6Bj=+wW}gx+-t87dQZ` zgSBM-1<@ZWS)L^2slUwZjS&G|=m8BN(}H13z!H0*%=6d1;f zoN9ha|FT(q5YL=kCMH6pV%D2vy5I#yiITMif;Lxq)J3i&)b~`|>~)~EO!sB6&GUFp ziQZ`Djhf1)`P|N=(J8|CAWn{K8<3|^N6Q!6!Z9oOF|&rD>KUIK**25oqGy#(^Q@MQ zIPiGI{`=I6r1B`Z?|w=K9vO#P#LAumcV`t>hNz7jKSts65>;FpK6Sk9pQyO+Z6`%K zt7CBEVjmF zed>D+4`1NJ52(-j3g52km*#8Utrd5F@TV=VzA$5%A-%RU+ho#yxGnN^9I;FQX~}Kj z6BCo}<046>Nk?hOpY;(tFz~q<45WeFE(IfrW{MU>)o6X?SXA$9pef{k<@snW5JE|= zXH8sugjwLc*Bqg>q2*sRokualTaIAgX7m6{j(W6p=?sNTZ6dx<^!vs-9%QuIi@w)}x-KjElO_c8`2 zy|dE?On~TFw52()MZj&@+pd4$AwbTBv$MSn!D;X8>=C|!N9;TT>dr=c>HJymZ1jN6 zw=MmTxB#HT|7^UM&X0O$<42qPH+ajJ1W4as=f}|bQGYL;ANNN6AJw!Up$RzJiwQXD z_eKve0ZUr?FOp^2uWA)Se_Jjz zGJEPe+H&K)*mC2e-uU>@R(Id_*;Dt?rW^0YrW+sk#wU-~{l{}%jM1_i@5QnkpY+D3 zd!PJ|xa6T-H{Od~H$Lr+&-UK+@Z{K2=h3bk@5QbgpY_J0N7(FYoZ5TpKbm&qy_k06 zQExo{v8{Y);`R4p;*H0>{sTf@1^%gz5elI_5QIunaCr8BXF{p5jgJkPxb&|_+iZeXg8XF{nNb+!AY-w`lH$g zq0MLl_Rsdx{nK9m?9o<$$D9Ia3HC>O8H2N4{~?y(iFvmtKX~`i5bTfl(*04d|A>a* zHfGkcz_`oTHk*l17LuL-(W9>-=NvaTt-?mLz7!f7tv7VDT#t> z2m@;*8be7wb-YQ`FiuYOva_VBf0{4$NY;}7=vYJ8i-wMvwBqz6o{I`G2`RjiD79A8 z4AQ461Io+Uy{zDo6%7fM)BeJzvXIwkJl$a%)^JE^j(z9*}h-*bkV z;2Be;RIh2SI!XxiCfACDgOv&NZMs!%YJe8_kf-qdD4IKyClp@_W!smS6BsX}U*<%h z`UWnjTq#OPrAfu9^a^=?&Zu>s4c1-OD9tc$hw_1mkB0J|6G?BuYSi<+SRIqr8iX*Qc02}#Wf*?V|$Tldv$CP+p%iv+%XucJB#+R>b?(l@a zxaR6ApXGz9Qi)Y9mFe4Tjko($b@yIa1KeYk+piS(^DSJDGvaRAX2gOfi9w=rPha-? zQRl0tUq{_PXOyhJ0uz(1rtYc9x1KJ*TKF0+X&vkVUsTur99(nMtKGcDimZ2_^N!Wn ztWm#%!1v#01K@~tHwtv4O`~{=Sf@k8F>D*pe7-NwKjsbmWs*(s6p}>e1=8Jb=+Lne zDtSlG`yNW(%^Ci!THdaJwcvpK`z5jQP8gY>h-4w&9%bH&P+0FsW9uO*9x@$W~nk} ztoyN5`Wd56txSJcjaqY6a~EcbTN5i1kwh9&WnbfYSt;2;H+CvLP$p$|KdivJf3cRM zJSH7HTH}26+p69@pYd&ODEq8WWaNWE=N>dwx^A_6$GR0wM0!;hfVgKIUX$IasyqjP zbB6DfdhvHDu~Y~34YpTdpiS+v42^)0Y_3ye@+kbW(<0;n2yr&7(lu_0UG&=x6=_3_ zYe6$i3q2X%cDS!WqkW7#6L@N1--K~Z9BT%!yMO4XiUUE2-aq$s3~3_RUNu;Q6iZ8! znEOLCNgH%Anplz5N0X5IjL8JPn#i(U4o`@VcN&xyEE zn#IR_*7uojJ<(_Wtyd(%o=!Y7F$ppuWg&A=ER(8vHr=k>lHdnt*6vsPTHsAj)wVvYOvJtw5a&J5 zVpMwh<89u-a^WE}Z{Spo5tPls@#@y?BZ(-0COL^2Xc}oy&6;L0b2VHy`yzNaB;vl-83jzD&V% zAt{f#(l7KKyA}=~M1p;?tp+NTq9Nv5SbH=;i-rQ5<3kDys@*Z3gsDbk)1&K}2Q?%> zqZ%|z@wHC2tj>6sFhiN8w{7+`t>qkC$yjaM<(y%yZjbNUk(&sdOcyzvr*1t}?aDGQ z`UFc9uEbkIa=uaov{=g2=MR)oq<~gIj7YHg&hanW05mPf{WnF6Vr~`BVpYx}i|Y7* zwB7zoZsDiG_=Z*;vB*pRtx9agZ?Im$ctn5rGZt{GtH&r!5M7x(eke~<{0pByz%j)c zlAHH;=uzzpgNd`5))-k?zM8?+s}+ti{G2bpU1Vfz-NnKzTy1Xb($-Z;T@*Ut0#!P3 z6?(HsVa~r0w^%K)`39DW?XouRB-f*D>66km+tkx|9Z#(}vW&k=mrzdd+|OdET+x&W zhsoc7%Rw!pH;U4-=Lre64Ku#{85vqw`TXVZsfg$+#Qp6x;lf;6Qb;$CRFBYB`7Bme zO{65MDF5zR!QKD!6Q=O7)EYwzjuCB?UtT0Dq!oG%vnjz<9*Tue2Ln*DknF^#=-7m0 z30j6BEhbPUeUhuK_K^i5S@1E|gtFiYW(dhTgGY!uzv`S^)1DjE9#F3_74d^IX(`+1 zRNT4nOYfcz;OJQE z9i6b$5w7Gl`YzlgiK-N`Q3~~9Kokk%x>}IP@Kj1y6h~!2n3djky+f^hZ-gwjy@<~n z0X0%)iR%#xLz*v?`)6V{V5s>eOVA#;k$h%n@p}i|bkw z_vcPniWPCR3ih{3I*rJrYqe(SDz;8dibG{ZvK}Q^d6zxBY1Xm%Ke?HFfeQM${Y8lx zl&e~W1W`V7pRV^h0rN8RR|%UbQI#_(aAv50hCJp_Dq2MDw4i#&x`I?-@q;7!&94rS z+tjG8^JR~k{%hZx+W86$o6G3ygN|;pxPQE5*<0I)N|D??{#kL2t6A_Fxu&LSS<#Y_ z(3ReQ3jyS`$zxypwfAvL-CrPhoW3|8IVO?ALm^>?0V zBo5fC7&|_wT8b9v#$Mi1XypaTmUGk@mE~cMHQK5-xA~GV0NNXP9Z%~NCQ2+k=kJnk z6AQg0KG~{M65awjxG-J?v+#B|<2gxC*#RE9jJh-9qSVk2csDDyot|ra8FZBNM6FX0 zwr@4P71~t|Z%g>A>r^ERlJDU2afLyhM`4#sXnGwD4vA+-Ygta=dnwyTjBX?jW!1h- zUhHewitP;XX61BolWx9`x`i4!)gj$Xk%(k03LG~apu@}!z^G^ZC`@^SsI7Fh^I2XG z-tf!}-rbug)h$F89M@)i4c`ey;^dsz{bZV;mis}yHd_bdJg^61NKgx)DzttD!bh%w zX*`2krUZ&arq+_TGnOE!myC=p*KpH;sd9{0XH!kVi~une+2RAM0(fpw`xF|@^L+9U z?K~wrnHrNxw*by@>Guh(c89*7m7pB14PdHCtr@s2V>phd{AN1Me84+1w6l9yUN;Pp z?Ssuo@+A9zIuG*U=tNBKsiDw?_QrhE0AVNIh-R1KAvOKsCHTd0M z3rd%J6Eg|wit{$oqVUl$2OlKoQB~3?y&^<`ykGL~TtVphdk!g626G`N3w zP^TwSX@OD|d8{_vQ$1YYzDcr#opQF8_>Mc}N6DnvqI-AHKcvKXwUl0)!c;rn{K{4v zF@P0sE4=vXs}H~Ws^dt>$~H@}F=yJDg|+M-CG2{?`_(%lh*qTbQMM|b#HOjfQ6(6( zPdK!3^d}*)OxTlVghMB$>qU_y$~oa!M1-+X4t`U$PAOP3cIg#t>2S zNr{_^99O3CI^D#<;DTIYF(-X$lxo~vUwd8S>2J3%J6&|DwyR7dDHtmEDnk^P75Ix} zpW459DJmt8hys+8`!bowSudU~@zAs>*efy(>MmKmaWvjBxUWs?YnC|+=p?{5#LL~< z)@z5oaW%~gu%zhTL)a|yVji#XttyclgYWH93Q%<5`grQF#AX2F(s*UHqZ|sNc?erW zxhKE@(Ct@T!UXJ6q(CeC--WX8mY2hQbF+4=aw?@b;}#P`#*VOXaaM`IK?*T zisle`%a^2=AzNJ-mjciKOM#O~a+wP#Oe$&DiL4JOC>Os$no%WbNx+?UoS7X@ps%f3 z(5{d*Pk~*T!4EHxjs$vk-mdvj#Y&K>IF8w{^TZs?P?Q;gt zd$MY^b2{pxP5M4PT{${a4T1_K@t1sC7*#!5sAqnb1=ilN>Sm9vCqqr;uv?WkomMru zyXz+$q;Ou7neuX>9$zK~Xp*IvF2Y5;5M3$(U@6R-b(c7Mr3y=By-m*@D#H;jP!g-5 zDt*t}RD>etx|O26nKk_kWN<%P;D(c97ed^YQIbijNtjA zeV!4vqw#)`tT*iE8nB$-z>@RRLVgmEwe|gK)%$dYoxYu2CQUZQ(|0WKGMX?VUFIO? zwFlVIFl$fPbkU-mZG{8rAyEA>`?B|GhqPl$$K%N{)^-T6T5WI_i>Joe+bws)D54Qm zA*70Csfq=MX>*k`R%S{kI~*w5L-VyjS(I0nJ-13kO+8MUURNlThJS2VU8nvhidJ)Hb>aefFlG&QMpY;)^(UAa(ZhD}weHK8 z?_XRT1XXnBNj@*)HMG%Wwb;YcxL_DdrIM*AHU@k#{}@4xwRZYIx&1c1%5fkO z3xyG>T;A5|?(%f`ny~mM=IY#_L3* zFF9yjML2h0nx(}z+y3Bq7A;{Rzsk!+ii`s_R}LK9Wfxy6EPomHn|2p9gtP5rLhl&% z)O2HvSN+m5KkKL(JS?FuUGJ5=5e&WdT5_s((_;Z@%=k8j|)uXiWc!4 z*R;3p$(pf4Fe&HBDuKHn*dxIpJ^PqTxp%*oFrDHgi{yI(u!bDgF| zfnoZ5?9FU}sQ(>;uG_MN*?tq>#8EfSd#9rV|Kn8^zAlm;I#|*Y*HMBG*x8J@q-KYB z9K}s1!-e7%J9?h8)w?2}jhu*8F>aoawkF+rV4cqu0fE1lV-^qNgFJNBQN#ougYmJ- zaJ!`bz_zJNcaoGUSFvuI2KTLd9O)nf^W~9=Z1{p{AYOm`JbHto zm9#oTvs+IlZtSv>o`R69I<3#$kXkhk7XukqU%Q7H-m;-h+p?IS0e>p0F=IC^ndSoa zGMov?t*6zjAk;3oa&_pMu#{h1L^JrX~-~`?sD1Q^bQzG@MfP;LPwh!HhU4vp!>5?}Hsex?(q-Sp^iR=C5Fp>w+L(ceHK_#3;d{q@()>b517*}|qv_sHX3PUjsj zRr^&4uFXJXhaaFF)U1x$FG4xmuxj^c)$Y+E>LqCpPYJ^}7!Ntz^k*tgaczmOA{(UV zZVj4x=1@-c`0tLK(>gS=4ty_0FzAxKf;ZHM`8w)Fa}P_#KwPniyYn@}!1z}oA%UMO zsd^nLtb+tW_-?Yq_=8mD8Q9AvZPIL`Xc5C^>eMXz3|1#rF>c(_RB>_9Pica(ZYEEZCH4Zw82+2`5%rw&o*5C0qrY5lM1z<-b<Ls+&5$tGW+`lU@Q#B;@-hBFW%62Q zZR`xUjHi-;Y<4*rm(Z*0dTw4Zr*ZPY`?{HG5GT%vgGyym;+J`m&7yN=(UYm*!vxLC zQKe&%b(a3@XDMwC;+lq^EiBH2kA+H&Jj%CtzhPgc$uqCBD3Dx&AtmRLD#p4 zCtMBI66O5wSuXVO%B)l z)oiQ2t0GCRU}=MOy)YbU52*1al|X{&SGrypyranp{x`nF|4z^Nmx%snK>v;DzkGQ{ z|2;B~O~%sB$u^slr|~VC_<<_JZr}0Ifc}fs9UqVQ-x2+BM*lscpC%oZ-!M&P`CEQg zFLfccEjb#}f2VeP`0~WGN}4;P|Mtz*qZ9p2%EI~`tQOPF+q_>X0=`gZtuDy}I=n5v zPqGyMeKG-i4)&gm)`hzh3hjh}$Zh9%lIy|a@41!T@K7KHW^!0K7voRi7VMNINNGwp zZuSuVWOoElG4Qozw>lB1wFlz(2ZLl2r{qt{S4a>LE%8uB>4{;`srDqDjw4EE8+L*` z1{Od_vbTit)jEHhWBU$STb!##G#+$tw3FD}!q6{-S#5j{j-$@cI@tZo^gD<4LNep7 zc`7iz5l)CJi7{4=A?gVPpztGVFn$&hA@H#-j5xLEd@?Y%?~)M5$veguNAW81Yxp*~ z?Qr6bb~c8rDCYFY3cvB@^c0tt0zJ=H|V@ZtP_&UxT7VT{1b zq=d`$4Zh^3(MNKAzu?)%r*F+dp|a3Cq6x5{@qdoA-6F^J{IYVuw_DQnP<)CC@nFX` zzNw@lC|F%ELrch9wOMSp#T5F9O_^CFan!w9MngUu(1gR^0=+RMyl{`3HB$&q$S?!0 z(kxd8hpQ!85tE@%f&?HIC8ogAh{_dA zFy#TWoFwo863vUvd%+A#^lhmKt_>$xB?Ti2bUvJwi&X0(5>y4H7_)2N^Ae$pXn3j! zLBy@Yp@5a}jT>eaj_<;{-ZM)*6#WcK4x}jCpPs$^n7DwBJd>ZpV6FAey^hhzeRPb} z>nn^8f?=&w#0ms0(8ngoLD)wN_$K*+A<%#U)?Mp#(*s%dco(1Lj8kCRm$HJH_{jH7 z@Yt$b?A|Ch4Dqk4FfEb37FQM>KA7?tMBCDtVUT~{g9)3(5k|;V*R%`Nnm`Wyr7YoP zf+yZ032nVU_rMbhiEgOx(_{k6$(5g_ebzfUj81z)o^GeT0seIcNABJkjN)1EH0qx9 zj+lDme|RFMlR-S{Sc{O0g*G4uXoQ~>0nqiP!+sasbli->SS_gf&J%Mh{ln(rZ{uIw zSMbKpPph}_Y_F4N)dk4El|{I+IRCw=;pFR!J5!#Pw(AsHE8L*~eHAyQ78Ov4369pFZaGkI36P+9|Eym}*`wzn#F(okDsB?m2x8DxDv{d^{kakyW)M zX&_*B>~31!{oOzor7}dk6gQKYqT)kABCNK2JZ0XnYZE%27gyojdR?E~Wq@{WpsHbV zs)SHZ0S%)0_?9Y|FO1u>b{H*LFx})7IHui2rQAr(6r*md7YFeQE7Yn+hBp`=Re1*7Ovf2pv zm1Ved9r(;QW}2$o(QpzBWNo4y7Y1LzKgd{em~E57N+Gb|Tk4WoBvXEZvRfu{-%yf?90PH|^WQbz`D-4& z-_(%{z&%{acj=~D$9IUt(YW%rtU?$XbS3;@6h2|6KY9U|el_vdTGP<+?yp@ZxOTy0 z_=k`ym-}( zwP0+5BAq}a=TPr;*n(pNVx5u3@Yr7bE&L4qMudZl9>CX$F)Fwl;UA?s@Qp_7@uB*^ zqk3{WvtIz7-DTO@M40M;TaK0C3mq|{<>T8|_zFyU^*n_>Llq5lcGTjA^lc86dBjd0 zH0io>*f>5P|FN8(M^Bz~M9lmu8XW3U%qs?J9afRwFG9r6lCB>KoCU=VaXDjH$Hlqh zg|%uYfP3H7sCNq9=h*~mo-smb(~_@zStn@wOqs{(Ru*X-J*A&L#-E8XZlHP*w_V?j zGXa|$wAlPJR)%u8n;UhZ)IWgF!Be|35>fx`M}c}RZTll`lG^D&e+eyZ+VZHm!z&7}G%v@s?HpqtIdHC#<4F>6MeFLJ3R zL@;$xGK0S$OPdhzYIZ%Q6K;Whw(8Iw@TJMU_B5m$sOr^bKZ%#{Pi5`M0s~tx4uj%6 zCf&Nv^=Zgu%cZjV%{0OdR5+6ZiybqlyV2Wt8mrxQH+lwkod-E}N{p)06x+fYb*oNQ z9`Ft=$i33z3@OG0c^r^zB_T}h&3u&Gk_inhchd}-*bDQB2jur-bYk4;ZY*zt8$t3{ zx}=6Z#;hKTj77Y%M@wPR?YnquI_++6j`&5@-UJm(z?!3pUerI7?MgWcKo+7+tlqJ| z;!yVmqhzk4UbN!^tCa6XllRTXgTv@TQwe~y!EeL6XM%vytA2S5WaBii6GPME7(^J0*#KrAcOY?K}wm<})<8k*&y zRyeC<(9K+-Q=2OLMorTt;3oFE(Qc#+TJ>|Bz}v6fVB4$O439)G+gy*$OkuXi2GNe3 z6wi^!@U#t+y+^{cHZE2JW>y~nn#a;1Ie1YfqV!UT82*LXi6x-n)@~R>I)+u znM~OmAEkM~3zys$vO<q}cJ3S+pD%F_P#$|yt0u>nVI~W%^L$jyUm)hroVaK* zW%y)QaQqN#2Q%05F}?)VeEyFrs1*arUYX6!q<7@AX^52?Fi-|1zl z%DZ~LmW%y%kcJ*QF@!A~>^~R|qMbqiz`+*|_Qi>(F5u>OsZF>!^$Q1K-UyL*r{y}n zxhp>2nGD0p-pQ;0XjnC$7Z(D zesUNQ7s+*W1Nnr@1?bQfBM6-oW$2uRVVMv;pK{yj7I{H%_$i7ycMPi7tUmOY_lCZ3 z>chyjC*L9_Osz4xRl9<44pC2y%MG+NYhJEYJ5x9%7frHFcT zCR~yzGR1-_Aaxokpc5_0g)BUxmiH_%7pfJ&54@Gb4owZ3Os=VFsLxyTFLfFRgMJ6c zoo%8^GPS51JX6MeJk6uCm}1Wc3v5D8Z*-NpSt2-O&A71h<-_Mys##MW)Hzl2{&i_E>#dt09&}dniNS2m2VGKic|xgWjM|mxkOL{csJpma{F1U>o&v z&>svAV2L~+{T)KW*GLS+GS$)|zTegkmxTak&6FN-S%CLotsFdut6&vFAZ3*s9Y0YU z0ats(6F6iU*w*BZH5RYtHQ*BkS{%0Mp98Jm&j9vX41nI#d+z`C3tBO0F$QfF^z`#d z;t5vsw-TpPEh7~*)U*LaZ}O{DnWdjE5D^Ej3X>?vQtV2e$4&6SuV}lcYE6UhDLIyZ z(hou9^pHiZuN5@=tcZV|MyF{3flXrjhj#oEGy&)6Ch@BAOv~nbr@GTDcIHX;Pvv<$ zt#6UO-J(6UM$&>H+JW{k)~VdJg8Vmi+rE{cR>hU_vFZk-mW&4KE;&w&D%&f@gxJwh z9j;T=I{S#KW?&SnMgm^u-zUQVBI2J2bo2@0?ABQvyDg`)65uxJlZjM;5NkU@~$O|DMZG~HAHN{KMUC}GFt`5m^vopIA@TFGTwJ4vF%uQ2#`;F9Z!j;zSP1igPvo z92|g-010;p&UHgwvSjeFeBCRvRU4_`rLQ-j-_b*h}Y=j)It&((GZL@YlYeCX+S7WWM z!sc722_4XM(QG=451WJz#iQ(6QlRYGn$&DY@%Ym06DUa*j(w2W8KS{b%pE~k2ralu zmsJ5XlOnzSA3k7BiD}67b6@rtw(}Hp6sH)T^)_-q76t203`LV_(esS`CP&E>eux|6W76c}c0G=?2-z^abd- z{gDsxe(M1$(QDZ?-06(ZMx~(6X4IdskBA7^Qk>dms$l_QFq@EAi3pNfB9|Ql+wQu; zQo}XXnkABONl#%V;;NLD<_nf6!&HJd*TYWnj|Ha69M5C_|GuzcX^rw@ZBO3 zt)pfd<*oCI-XLA@cUvYrfKxR|5;IOjV7mj_372t^XUZ&y-sM;ELfO$+iFyST?Sk$MP9C2q>b*PCA~Ru@6+Qn zD~ZVaIEi{@;)?@9#fWS_= zB4V)}g2K>=&dFNJ1xpl|>4UDvw1{3<=2!e)>D5)u;Vxtf*SzYN(JYzg7jZEM9=)U( zrEx@+5&tFu$m7W*1HR|nN@Umwsjw1!=;ACdN{Fz^2J|+E7O87P;N^`%xSV;c7Bf(5 z6^S)CHfz+~K+^%?Pad6Z!49YGu-fc9gyS`}nois{nui$xPVz_c&UfD%JqgxSBE=Mn z6&aoQc^v?i?tr6yfyV}!N=AtrSHt3Y3!egQpZuPEouOwcHBdBV5G^cXWvE`q*-z_A zJYaGDL4^y*@s?t>m4MT=%(J}tK-62OgGX?LB=q?#S~O?#NCJJM$EXzJz=0=bed9C5 zUOe!vAx43cJbgMUYgC!ONbiMdQYa$BEbGOp%bYr6mb~lQA_@1Ur^Qh|a+)`-?8+v@ zN_2)e$|pCx9JP(4wqdnjI(@Dv1Enmr6{#g!3g(`tH-;$M$_W)j@_zQ_WpsSlA80cg zq`P|O=e;LS$VC!51{DDVc$q!CtQvQ$%;L-*EwwA+wm|a%g9Y}~o~uo-5DJXA4{N-)%4V#&YY+E~JGVVG?n~mvPFIh*N^zv7y1xRjX5T|94 zfIbQ`_xsW1{Nb!sHh@YoVU3!X4z|FFdYDo{Hcaje;Hch2nbRwW;PQe(w_X&FbTE<7 ze#%wgrGxmj9NX7uUM}Eu3q;34w)qr=SeHfmZKrKiFL4WyD30NCqRn$~lX@WZI*Pvo zUS4gw8vnE;?-6eeyI_;p)CF&dKL=%FVVZ1=yl!+^UZB0D1~^HPWNxMgs7-PjB7)j= zU!+&NKwh>+c5fNsahHJSC=qH(7Mw~^5M@lTRLiLbkCO>Y8zt(X;GHHtB-(&fNIqWA zP41cRl)@z?k*`ys+J;iy+rQ>uEMA1HXOfOLI~C);;M)uM1lS=m%5GyoL`Lfffw5y7s+Z@rG?xN(;UX@2utsnnZNOiA*?Zo5 z`S!Ue#sqg0|LdsJ$cM)qw;syEOC^#vL6{gQ&M^1P%PRWQ^>nR%G^{A@ z2!S0k2iA)e3~47%?VZieZOO#DvyW4%7iL2GIULBgBOAxV{+?APGPUqryWXt=Ls3dl zUnffDH?#F_tdf86Q9BIuEVt|oVMgrliTv9$Zr%$CJUDtV*pGGwgTrlE!&_jYfzx7T z?d1B|xlgL_`<$Jl2M5v4{?Xm0#sNoX;o>i+3M!VaP!XaiZ(=Cl1~|QG+uewycGV>+ znCd?Bl<#3C^7h}t#JU79*nl~zPFK0PM_RCH=&ypO*McX>hdRdfIW1aYRd2@JG+1_{?b2>-u|Sw_fO*30f$}WLl*4wJ?rN&E&nI%ZcF*rHuN7v(DQz+gtc#~BBP=>ot6q;7MD`Q)5B1vSg*t9-tV<~jCec5eLczLl3*OVlTQ0+D z;?Ahn7x4e2*G#@AcJou6pta>XP@Cp8?ZfT^s)m8?)RCED>2b$Q4duO+`_i!+#pB

        h_|icnQ*?wv{_Nh%{#v(IHB=tI@i{lR~?1 zUdL{gg4CcP#T{he0*AiD7HVp+MnzhV;sr8SEylU};-DKsl*o#l&_tMcjrIv0i-{ct zu2;=$9LromG3VV4u#zDlN(P4}09Ce{Ky}?JFyacf$aDvmf!e1Q_MCH1O(K-z42A7y>tZ|u*{yjp2}215^v4N*onZrK zrh#*403VpzVRU)Alupq*rWm5yMgEbGf=Y3odpW)tXZa#2tyq2kIC_yoHuN*qk-E2+ z<0M{~y@g&%Qma`2{!Efai1M&eq;>&aK@b1bbjjLI={|_wFwq9ligh@A5l^Q@GDUci zD5w!pMhHy624F1c5=GLk=xJKCPZjLLH%n+A{7JP0+XmSjTkC)#qPSZJ25LO@1>&?d z^AYWV6U_9L#3w-+v{EfmNLoNXm=c9Lc~%B76`bLOxj=^QynZ1e~ zm;hc~jMoJbB2NQDQ$K-`;kS%aO_Y&dh6-FRVknTs-D(`mI2}LQN@@m}P!{l%;GMFP z#J@*1`#SuF+S_mVu>ugwjmwF52F!AP{yn4G>|5u03)k+f+g$1F$m;CI_xZb|$V;ou zOhfvd;zODMOPECUQ6e{jHB8_`}WM)Hch1>ts**xEXhSdt~KUq$gC8}*h?y!o#B^zXv zf^`?$ILT6Ne3+zg%-?c70!>nQ#Q?5!qgLvTI=dD+D<#e~_0v@SsUH6-r$4%C`Kve1 zkSAOv8q^J=P~DF`-A|JOfJ$YwW|Q(E_8)7lDG8TS-$aR;{iRxnS5U(VKT{vBOABmB z%AW$ww7h~pH{g8Lq$K}ZnZaGDo0uSPiMjO~e+=*JtN?h~-aOyC>hs+iH5BBBghisRkAuRDWx>8iJXQ_%OyH`!*Y>Yn3n$J3rQ00HH06%ec4zSwN=0 z64la)I!?0a$AC?pE2~>e>HwA&lbVTHM6_hsXSjfjC2(M?7X-uc;H8=)78u*dYAhp= z{1tvY-mu!5@syjSCFY7bqav-gr&h(<@{$OMF!!!oxDjgu%nro+Cu_h%*L5A zv(qwh0K14{S|I%f+xj@OU>vJeia;gQ3MfoWoK||Mq&qqxQDA9h=? zvGy4x6g`Zxco`Uq#spY(T+3ywu{gQw3Jq;4# zncg6iY!22);tp9yn;Om7DL(J@{VbJf+!0=dh$egwG4zt0f_z%c?n>?2eNEkkeVM(kwGtNG&7 z=Pkf6+n`_!V~GUo)Rtg3fnY3e$tmsN3;R;=;+mkS2*hqiSY0@avkUlF5Hcg7F{-Os zI)y-h0nb$6GVVCk)A>g~tQV4vD^w{Er}N!4&R!iv&*`OBKl}{pDHe^4Ds{ztrbjA) z_A15eebn#>WI~Ad99))FZ;2MVE4pAG7XMaIpp})*MOWkX@^1aW58HNP#b^UASVK4Q zxPV9s&av!DK1!n?@`sJssVSaBA#`p)hUHznz_V#@S3(u=2(772lIY3+xI9>#V(kQO z*}wpnknEi#RYL*4-n8Q%LvZZ)B(STyHS0Q5SRJlTI1y`mn6PBY-$pxVd|H_)Rt)rT z#?2hK%KlXAX90W6&R)Muh!=J8_0X;XHuYg&AC*5uFwYO-@z2prZdgzdtm*l&z2UJz zYux_Z0UJk)#gT>WHn>3+ZE$ijBtNR;@2m8Z zc;a`i(aO6WzF#;j{8!J}89UOi(0mAnZcyXVSVRKf2WMZkYrfe6`oj+>sp%LB4zGpa z@Zdf8DEjQ|)95T-&#c3&j7rrD|m-zbEwq5yb<8)*ZGZV?L~ZbW4@BPc?iUFVLz3_2TJ=zHMzNu>}H;? zS2M`D15mo8zqDf3#MSDQb!^aMNA#yr;`}4M6WL+!B5KBm`D*EGD{+pRQ6LbrUP5*uXgneR}V5^Oo>-IY?DHu#hj^B`xUNK{L!%x*c2 zEE$qX(23Bvh9}Hz)oeq}b~gi!^B4;R7vqC`m(J%mAl(x?@RiEw&I9E+fpUUUoxr1;9?&b%>5}HzIPzT|vzFN39~z!nU%AXGcj%uycBc4ML~Yad=|k z!0-`BTc2=iY(WY-GRk@}`8CGXZ~%o-)DcOe~3w0V2o zv+f`Ckz~<2fDURH5xAh;L9nSG1wPS;OH_)l=4Gs@`11fay4T+N6-O34CkN#Ar zs_tU2_S(x@2yP+mT)q%t$GdozLRImOZl!JEu0Ev~?b6O9i}S&K?egd-_2%@m$+`T4 zKL+bzaD38-k*F_l+gJZ<;fd}AHo`UR zN7v;VB*J=X%bw@zm)BHep*!Jm8Zk{iQt&+ds`s_zSyDqCY;#|O`@XL`4|}-Hu!p}j z!`|Cw*n7V<4!2 z`_XcpW%GE^X7C4)3?X+NTTsBz%o(D7Srb4<5&_G*}POK^|CdA7l6}Gvu3*at$noMqkI|Uo^L23Yi{w$22RZ zY6a8oz;2osvMy+|fUTPp-zp)#3A_}{keed&7NVW%ADU?LSC#Dep(c~0s>=WTgH}Ad zTphwOG3U*r+jdCbnL1VtTj#?WbHr2Bj>||^q&Un#Kr8Fe=(^e`JzYzo{)rrcJ|T7! zWf6{_GSosKqw*%$v>C=!%rb`zKt%Mdbf^a@te(91lxgA9N%SIL0YQN3P=~&kqRtvi zG_(lOq)s#8_Q6Lotl;8+D}e<(=+qfdDBSmqQmrE41d z(-C*^7*s2R{x0-_cTgl1rq@LY_gC#I^ww0bvdKM+^LKI7k7 z`6xOhi4ogS8q%Mtov5IgBv}kjr5QBe5u^bG(`ue#sE07DlDt^`PW-a6@cer15}T2^ z0l!U$&b6b-k7_AT-NrFu+_q`DxLw1uOHB@1g_sJ~&}X^o?C0vgs(dR<8cKi=X^wW7 zDpVli9vmNQ0?|&lnP61CbpOJ8n#q>I+-IVamU2vFuP1jd5%*7&7PfLT;a#vWe6yCB zpqwhhWXn|D4OZn z$5R0@G0vcOT~@{x^7RME7DP7h^>0q2R2-PH%O-u&O6h@DFd&%#w-%UdNx6A%I-_qt z+91`m8A%jyIvns@4f4&O<4vHkfKc9!5mr;{a+QKz0c434Rl+ih)sfx|6SERf+hXQ) zD8_@5VW27LpU3-8Zf2cG_uGrnr%D;rfoDCY8b98VG;m(kVBT4GZ$ z(4kIfmR=^x!q1m#2i?y3*7)oHQI%&LAMxP8u>HD&DcjYBKv>EhQ<$G6K zg&^~4)-co-<4P^q+-xd>3e~G`$ke-)7#{oA;%^wNRW36o4zKNRzZGOJ3$@W+F4TH< zEStf}-k{eX^x#s92>ThA&%n2|Kdl!Qz^Hx?J8$+OD?CGNXF_1Zs^>%XcjLs@)Xo#b zo74GOx{m%}7B8k9TKnTrsdJ4J1WH|*gLeO<`jzfgyA{|wuHulZzeePTIT^4WQyjAc zcHIQ{jh5-+Cbe|>^kGOnz8 znQ@xf;SwTd4gQq#Ab1?4zGmrpQ`i*B6-ybx;$kqxe3{Ww@VXS=+^t6x>nIkHUR5}S z)bZ{4W?*luH&JfwbUnVr(maj^3ERX`yfg4H{y8D5nc$1xR%de!2k(42do;KueDP~+ zcc9u+R+`#v549Az4QDyZRBC!a>k4B^3pgl8d7%dAppE&4OJc=$>C=e{O&D+SWDbGB zRY6AZ6r#GM4i8d{8X+m#6|}3X1d++WSFqA_VBpzhtaBlw9hPurKtgRkh!YUsIV3xn z#txcsyY7^h=il29)gDpnDyTgbagxabE)(KKd_N+@`7ff?-j+6dtY%z!ipXY{7gKn> zX>h=`Y%xr5ZN+@4BlZUC-!3KhE_D{M;sWq+bdu5KzrN0kOV<5i@@W|FwdN^R-v%Qw zD|MzYI8p6~Anu9)J35R|3-fr#0QF@zbH2gK z6wgP(sLeCJ{gM;&$)(N4Czk;)87lTSlBgR5?mjX6LsNtOs%#gjn6V*N!=_<`>l@UB z46phj@RJ_*JKO5$ZIf!WuPzod>vva56}q7?TmcWFPno3f7hgVnuCW!2qv$b`g8noH z=$Ddg@H!=4jm~rVDaK&T_7Dw`gk?_}qx4J8SD0YtaL^m<-A_I72K~L;fA@E`$!NAC z=*PO?4P14CI}I=QmH24fk6gaF(%ZBoF`eIm0FrV)&Fx>Mkk(EseL$(~L2V~ytL8r3 zYF#R{J+Q#AoDD+@*yXx;X8Dv z_47CCd{nL$kdS`<=1DksNAQ1#TF+16Rm0E91Lmp$r(|S*X!LCed0=a7J(_HRPk>Li zCCyY@RsW-UaVQF$66sA%L{lG;&z>tU8iKq};5VE0vJKJY85En|=q|{ZVwO4FUoiic-N2*=st;;HkEa^y1K&T{gq&N>@??>It7h~D591wtV-|5ayGoVo zq_+DQqF{NZR(02;j&NXbrHPdjKX+cZT46j_hW@pITBjP{mn1r}Fa9WyNs%#8?33zl zEJ62|YUhQ}!ZR9|scX9Z*FS8PLC|yl3hI|&cHgE`u)@{8wyNY8OytvFaUuzTvPfR; zgocU%{#_m4@7A@weafOvrFcgNFhmV!wa|M*c{h5DSh(Egq1T6stF*{Ppoq^rb!Gdl z3jr=+8F33`kfDc|7+@+T?vTraN_U--9RGTq^2w#%0)uNslq>8AHP!a4U(Ys`6gtBf zQf(`9m>{*G=J{pHYd!pYZ~w!JLxavnjaM@`IXQ@4rK=V4!OfyKt3+)Z7{m&RHrKf@ z$~Ecb7d_}?*KTuaT$m%LYNP;zdbtLe%{UtFZ|%64LR+RL$Ws`0K!AwUxUEG;vjG7V z3?Rx3kklW-A=^Nbu6UdkiCPAjc+{77Ebdobx9S=Pi8y@lb2UYu#I%oq2#t30218=u z9IK8lo!aoz^M|j_ZA9=4R|YUgWf0g^^aFwoDyK>**#;N<9F+oig# zU(F>9V)r5c=_cAyj&Zl*Wji`zurSx983YW_e5dc|OZA+Ab-oryu^BTfdKm9Hthud@OHuP{$Sfl2CZvPA!W$KbuCh?Fa zM1QSL(3njdbD8^U0o#UFae>3(DxIu3<0MeGW3_k0C9nMxy;mG zBlB+E&p(r-MmLWYy&HC@f2gI^rYBP!SToB0sHVR7^tn^wDO0Ec zqwS4EmfP=va9XMtLn=~JEqe>ZvsN_R@WEg}a6|ll7Yc>>8jY89%#r)I*Uao(V^D3w z)C5d5XKL*Czx7k&SZUU67B<=xEs3hAe5yV1zy#gNVrz(51jP(09BpD4>c#l?ol1cx zfhvJofjFI=4Y`aj+N5M{$Te9^*8y3$r(59ub??4>#i8&8HNO9;S|n)ZpyU@SL7PBX z9jsr+1$w&VGm=pPORtAvr6H13^rAX)=T=DmdO~McnN4#!8`fO?f=kyQ*IM<$2A$=Zc?a>_N@Q5gIkXU+VfUpcpic>A&k}SGV=V(IH8u35JLj*u zoy|(HSbjo-2=hvs`;E&|nT8WHV$W#vgiDSFR8Z@^XHT9)6gmPpt*CC^kAAjR$M3K| z7#hhDNTanGn7A@Ls@B6e5|CU&6;9~A`6d(6g8U@<4+J-2)p8-JUrX&agSZJnC1jUNiR>eO0;w9XG<+3TVV&y*WRq}+UR zMC{7{%Lje|zKs+VmhXgHH>&Am?XZc79E;Hk_9>s0#EB*?YH2Y|+{eQ3r7*&xC4Z%^ zLbB|kjbaIl*0h!z8+HX07OmMXH#XcTB6P=QZ~tU?FI<9Vc~PU6<36yoN|3c7?y>zw zXav6Ro}S@*F01B~cXD)ZogCM9a(r){oYZ%6a&MgwbiU?o?B8EEO)vfZ zz4e2JH*#=)ujHWNogCc9OL_a?!;KXux+>hLnj!H{6C+BCTK+P`-V+K8U`~w?^18ZL z^9jU2z^^O|6k`&(hh3S#RwHFpR-(GO0qk6sU!}kUgfVWuyKbjTa^zVy$_aoC>=U?X z&t`zivlc#`iI2^t&*;*hB6+^8CepX5eDMheCg2vxuUlV65WNSR1V60r<@29MZ}>{Q zV2e)TY_tygr1%Bo(Ji(Vn;0coj%o^xA%TC7$j7J}g@idObzM3YdP90q$!eAqF4Ze} zO33yqG-xQm1L5=vs_;t>L)Z#32swj(M|!72l5&9s(&x)tW?BrpZrhMnVC7<9CLR|M zz$|?}+jGMFn(C(;KcPG`NIxu}uA=(JGvb7(LE&ra(Fh`Fi*%l^OP0?p*Q0q_(syw& zAH_x2#|^xwKm`y;Z%bmEa8&gyxi0c)gEBJn;uNVE@5XDS8F_w)p;718?Az)NVh!uZb-R9qP#!g+ID$+_pwm}L0qMS&3K8Hj z#c(AKqw;jrIwwBhO+!IO&Yd;Zr~L?4$X~!v7PzXu=1G&H^CoXnCcSC5a6L&6J8j-X z%z&Msl=6w6xt1bOZW+UMZvF9QW;!|$d{DfsLFXOzt{v=)4n!cSB26Yp017AKWGd-v zX<={wK|Fy)Jxo1I$)cXMX+w^|2eo-rRCc?Ubvc$Bq!mNe^P9zZ22~`x(HChkRqIsK zR4vl+Ww2DAwCmF`i{J8PHo+`z&>GnBL# zxW2T@lS6SbQiqnNCN(qWbd!mvX(o>y^gzl-QRfECF!Drr(C>0}(AWw0XMw)v{d{qe zAT7ogQ_eKf+hGw6Y4a+cML&zb`wq&6dsMg;Dz*#2jq@tvwH2kGO^K&PrLxS9CzKi3 zu1K{-ByCNc)%a!`>A@OkWPn>xM=0G>!stp6W<|3JLYliC;O@!LzEe|RS!CvkE*02D ziPp?z1sFjtn2*{x+1E7a0gYPq^$8X5^=WwnNCMLL`<+d-i~*eZu0VCOI)Y(Iite;<4L%82-i;`=S4c`8e*#tMCBPrP{y06{q+WD zClhr$unNF;za+6t^4Rekxk)z(W5DRbx)_hNw8d-Lk+WOdaDYZ z9FiLmFLXMKk~_a*mC(Dv^{|gil&!vR;0EFC(%g%fJXozx4cwV0$*Mx@^h)ibr?gou zqNj+q@WJ2i0Nmxj1d??9bEMe`)KEGmgPu*>KJ|ydD`ISyLbT~JnIdQ9BA%c@aQpv! zKx&(s+wl`3lMWX9ZRW;I+4EMDz9}E~IleD1P`%%!xp|A6z z(qw(YTz3|35WXd~_4X~&0RvW;I|8(0 znrM=uoqW|b1X`VI89}@TI$0?HC6q4mCgJ6#9$4dCDM=07tpa)~&Zk+f{YBzeMBRl{ zs0|YZk|uZR2!UXrUBRqtXESgdM^GdqB=HT5!9*y`DD=f`#-XpR9f`icjs+~da@B4q zd~KVN@TIi_;qRTTH*!JIRLNdht#o+l3u$}aT(!6*&$$Pl_V$&!i0wXN%Zcm!Uqkx@ zPmzbwT%Dk(gd$Gq04pb64XPsIa=j@$USFn@MUC&fc1qREc7S1;B5}?&_pF8c&|;za!pGWcCknWY+Hi?`8En z#5g$EuNTJalL@+5b2v4d4)xKp(25Bhl`pwmWYBj)X3domT#lNU!U(qMn=*Rs>QL0o z!3(s481+@238`%Cg3rTmagl@w42%&-MWAYn=!O{reOuxy09D&*x!#TT08~97x`=qH#=>QUI<5E^*6S=g=$1>JG9?z%N19W*(+)}!S<4AjY=BCrE&&3<#d zav(~1>cs6T+zVu;7+hMnt+1WiNGGWStcRA=P;F+4Ic!+=jtYwENGEh8$m~fQ$QNCH zc=S-XijwJPdB%v*$AIzhq>^*Y^KZZ1G|790x#Vx)QgpCi0c;%Y0s2he3NGFWInb_OTMe9F2^fBJ%HvPfts zMEQre5tVT!Xa-H@g}ifYvQdSPP#du5^7Tsm9zq6XXq4(i9o+LMvB~!teWwO9{VS)LE48maMM>^O5R9d7_fJcYw;S=CQjGo3B z;5$}j@0t1+KxC2v*EWZzyzC1{5}~z9e9$*&^$`11)VB-wWLu)Nb^+|fqHb?k&{?K& z@>tPIYzA=$qPvzbY=n_@b9aaLdUuCg-Ce)^-L<=!qkFxXqsq;+8flw>9^dOgk6X_= zpTiV*Zgn?$#3%PU;*+~gEf0o4e)lvOuxeXQ-;hq&meV&7BOcuAhzHwG-$1X-n(fY6 zu6ny9H7d&sR z(^SaNX|7~IBaZ`r73wW@@{hsw7o}qn1P&%g(P8wHEz98UkDBcN7ZcWori>^swje2M z&qv=1a`%4KA$oH@irxXPXK->vUeF)gNRYwKHu~9K?hYVugVy{Qjy9&%wNvY4RiVZp z7?2RgbbX>zNLZ>ZWsQML!;JxdcO2=A6T8nQ#3V@&#(P+1ac5D{AJ>pM7VALFduQ z;e&xqZNOh}MJ>oPna1kTtyB|u70KnO~m1(1d@a(FLPTXjU(4OU6Dr1kD3pap71 zsil2rscObE=Xf2^H~7W(Os-Wo84VUkwRZKlXfnd}q%OSPZZ@eEzH>AN>?u2*YCX(s z1V(ofofQ;Fddjq1Am5|$bw6B%zK4FP6zWsg>v7Ex5m*GfU$0x7z%62 z30d;iL)^*K8|B;Du@Snuwby~R3G|3{K4!!GsXBDy`I3Tr%!`S|98eSlpnW>)h!C`= zZJuR%nKa!6PmJu!?&dOB^?4cXkO5^C$)97ryGS0g=Te@R3$|btPRHT3S>&mJ>bU{$y@LT3BY);V41v3 zIHKsr&yZn)!qi+UR?c(+D8JT?!^O|l{{LBU@T;@7!9)C8neZ-LNvz~ z&|*Dga*@O{%T&L*ejK221pEp%3tl^FeM-*{W!YZ2}`-$M+(8 z{W34I2{2C>DFAyUlUNmc;k`&rv0q4a41sB?r{b!`mBC&GRA?jqUd{0&@x)^5v{1cf zJo(aiJWG=+iw_DnW(-Epd}K0}3lgX?iAZ(GC{MAK&G(OE)Q)Q+Dq`qy^!AH3MHjNx z;;oD#It!B*gkPV1^NVA>5<;~ zX~9+cJ$|$&G|51QEdd&6wNY>!`e9Vg;vzw8(-&!S%{8$!;@6cQ8hq1VE%zvkEk%lkPjCk+W5j3NqTu1ugfe=r*W$~yw$R#xaM26rKwXVSwyb@ zcaUc3JLBhs>ez%Z3JfJJF}1k)fZ}9sQ=Zpr8ud3eAAIpLmcY+4(FhUx-0P$k-i?Z! z`qWfyXj+8R308>&|S@`v}43;B&R4_A-_i8AE# zvKlLW?@Y&UoJn}ATXif%Q?k01K8Q6Rf6%l^x19*|EE#s=- z9_o4$R|TfB)s7jt6PAMk?RO&yvmwEJ`-c_DU9qmE@UD(AX~S(hRcJ?S*9H5uklP(X z;pEBj_Hw&I);Dg@+4Xo1IT3KJhJvMP7(Z2iz$2?GT(k1YL+~$-Y87=?TSK>Q|Jx4& z{-$_L?h_Kmdt2fJKn*ye>7~P;;Djf2^D!gYD=G zzn?q`p6%R0%UD#M!CKf<)BCV#YMw1RdQK&ZMc}$|*SjeQ0fyF(6Y`%~EMRQSBz5fjA=&|6+&gW0wcwbTjkKG{4Y+Rsh4>5>m*af%x_1Mf z7wl?i?Dn15(pcTXDnx9k2CTMeBp(As*=0`ovopHBWfnLe#q+pz+b`kjmMsHI+&E>X zxcb(C>;XI*b9t)(;eXb2sJgo~88VjK1Z>ZZN2_lndXKk`gi%+O50BtHJ??L9HVQ!! zdxDy?o=;JKt$q3MIUS@A!{?{tr9xb%(MsV0@w!Lc7Ytw9q+*t(&9O?_= zs$+EkGVSeC%|&ijxl^-9(+)4BMi& z{68_?I~$P(;_RMRk}cbeortoFq$gqk=+@|uz{C>ri8#^fq*NQc&Cqfiu!-wd>{P0S zo$5z72A=@-4m|Uot96E<2#CU(Zw#>mH&rPh*H>zKAA0uUknToT>ev-U+drZ?Zi2ho z{g*b-e*#}VB)-no;=8HMq?O~8kuwG*P#|z|iM3>F2u2~^PpyHQGA#v8p6Arq1_-=I ziWz0U$#{+6ygS$j@Jl`h8!FTK=(_Ewj>pdF%b z5u1c2N@qRogOvjYMjRM)X|Lb896g*B=*&U!hyU#yzuofA4v!uTqsx(66Ej_TI!(Y$ z$FaeEJXYRFabpSeqn(?ie7MNFAtHV8TVmu^>$ueXB^}}7K>MWi>T1lQGAu??}#@!Z_)%p;Rb>rBSS|w#y-eL*&Xa+z* z%u?{OF|`Sd#-McE5d2T0xw^v?NX@AW3fMa%RHxTGwhz6WLz_GM>ZQo?t3=J`&Y(`C z`8{;1)Vj$Fo0>*X3FE^^j7<9|!Oh(`KK;(t%#FsXWAzEX5&yg?L{u-F`VaUnbM;@7 zN!MA6Qa~A&|7UMrM#qQ!fmw)vJno&J_ntfv_{SY}(svyshHB?5&kHDbhROV#qRv3* zj@N(w_N?n|`osMmZali9XU`s;pFeu@Mk5J00 zVR_`%`se(pn&H)~4j;*lapYq$4Guzoey34r3aF%9wHd@DS@Ic%;6C+-3Hqq5Xr?x# zONg~xa$=sNIbkmV-ZAxH&##eBW1^n& z0sw{?Y|r?eT7>`2ht1n^n-onWQ8rEKN%Z^CiMsDX1U5tl%GftH&*V~S#yk)f*Vx$K z@Bq+&2S8G+x}jGnUdirR3Dc4>nKIML7~(Nf;J|JzMp3pH#@^nM8i)FCSQ0F~2?Ns9 zzc%DpiFWA>)@CN{=2VuS!cxX!re<)B%g^j7xGR-4C+m|>=zVyST)+xaQ}hWugwB)4 z{^yV5@um9WDSiGFD7Up50cN`z=%~F!n8|*bm{$Agxc$*bt?F^g#36SeifQYlab`${>w5N9At_;(3J zd2GF+ayfGfL?yUm<}L6y9OS`w+ujua>46UL*fcHMqARmi@z2PJhMP3guFK!G`>1u? z_lNifurfhA2(6YXtGI20dhi4~E;6TTwPI7i&nLfhwW`v6-^l1^pr?I6&_K92(mIc{EIZ_}lRbewCpzYUffe@X zHYDn5Cyql{a&JXtY$NK9EHm)TU zuX>9P&1?I6ZAHH0fqwi71Ytzbr)qtpI1sQnnh?W*tdzwB$?gBRZ9R=_55s9B}k4U@^J_%8ALx)Ly$xYz4->2Z_d%W%TH90f%Tdd`|xguvvI;!_9%-PHj zF&Ju*l)=d!(q-QcaiOz&f{I;2?#2*|88-zjJoNIVWC`To;3x$IVgmIr>!m01@(G&K zI-1lB7afA7x?C};so&QrOP5{s(+Y^%lHk#|0iM1}kTj2}at=L@%K`9eS)g%sN-XjeT!<*u{qBt`FaHFm#=etsZ#%{tVC#a1hYOiD>VU?vBN@C ztXhK~m!aS#?}|vdqOPY;Q= zT`Pd4#9BOGVVdIrP=O1v{EU&bwQO6uKfC}rw~WA{L@_lQKP)L`xC0!Gu{5hkb|cus(T!KSoOrKEl7;=mYhp!w=ywL$&WZ=`k^iNBf5lC@3-DHg}`_ zL)+xReq?{gZ`Hae1(Toh+rC3XF2N#?&)=w>HOu0nTKeUg`G)$$MZgCHR8Y}|uDY8> zC<5iLr2!$DbSUQ=G)^)4uJ+`xFda4p%S#WRt_^rQexsgpX2?QeB}^-$$p(s^lO~yr zbXLYO35S?DaV1O)-?^`4@)@Z;MbBWe-q2*7YO&MPvdqVtq3g3}Z%$9UUS`%I9~`T_ z0}yYJEl`Uyj^j>1LYe-enT2>C>Tep8!P5L zlo(tkMUf(5g&eF^t*;AUZ;}JYXj(iTTV+=nVWpLic}V~tBOXfgx!^$dLAfzmfei(- z)f_a1Tr>ye&ainUuZ_#SUp=iLICuk0fSQAVW3>RR6B0$Qd>G(C1Gjskfcz#$c`aUL0N`l zB%T<9OS?!`*LiU%KI{^Qkk3Y2I?mEdZHMU4pB!tZj(c^e&dD%Rr@BGQU!d4Ry?uy1y69fzYrlt$QTdlq@sN~6dj3Zm9yYEH(H&SWo zC)9F$x+#$C%@;lWr+(0yyL|!seIYap_(JsR|J-J_P%rmU{|>sRvoh|~5?TRMgt5zj z7e3JiL~IVAC)qSz&s{Zo z6W~$iSg96?c6+^o8CJ^EaV34RAyMED3Ys=B)`4Shih4t}gqJEw__sR5FYB>IH&MMx0$SixH@i6Xt|>Af;CVE*bv*Y9-Vcj|4fV)x z+X4z~lZjJCXEZ(GItq8_>l%RmB?pIAvq=$OFE+GjuG`om#540U&Z+e?VbdF&9PT0dcs+V#Y z&g&9e)?5X0Pl6zTO_)=ip|*^~5wO*biKI_&j3 z-Fj*P4Qte}H&_i}Le4LH&wFp}0_hEG!y-K6l09J}#tYaG07F#4{WBlkQ?_^;`bCHA zzy;R}xq>QMzXfFtRf_RmXag}q5s30SBl*y_$y6Hi7 zoK{U~@wMjn4sCIosFy3g)XDT3YX2VMRO=k)fE7}6#i_ts`O&COK)i}{VbE#`k zL{U9ZFfWJEPP8oZ2&`80XEX=!U7>Q~q-rtem)C1ZTP&uX0KIVKb!u_Ch&?4mtFB-y zs)+2B;-y|LF&K~~puRjV5^A4S`=|-Ri~N-jeVPEu0WGG5AyW^~1^D!)IyjS5-3>%R zxSRl1_bkhcbP^k-cZUohoZQ;L3Sg69@(zGN(yjidbYFW0fGw*0jg#$E7}%EJsX9N> z*+6a0ZuG!i@`}W(;IFJu7AiCGJzHy^Ow_p!-X!fS z@F(g(Uoe%2efHIP-I30kyJ>gnNHn*@!9FwbvAQF5-jrjk<(zcYE{eVx$4Dt|Ai|Y3 zK!P*g4^K4q#$O(Q4a-Aa7I6aF!1XlT(M!p(g0>a#a5pM3JG7oVR${^WJ^=9AMm zFJI`tdeN)bFQ0sV_VzRLnJ|y{BZT$r8}jN^meelCCh{=fy)xurajMJnp9ERNXmhdL z*loDCS)L5Jk&cY-z2bge2+x}ePP7iGdk0~jXEHZ{QQ9LbA_iBW%2tG7Id{* zvH$l6tssA>p%MTMRf*CVJA{Iak+af1p$~hQ1R$zKhp|r0MFQfPMhjAH(ew68(CN!< zSha&nYb!x#XL@mRPmm5feRKBNXOcW^bIF*y!yCBD1$QS0vYB`c6N7mWJ^>A2trA_* zo)Rv2U+VGy>~~}q?~QsWYGsH`N#+WSo2uRM&)-0`$S-J9`=u!wfzNG7xJux}bD~2b z8vhI9XL(pp8Ed^Upzm1_~!Z9FXbXMozo@H&mgAn-K=m>FeuHXzabrBb{1YRCM|jmhQK0L zzd(E~A#0+Y7q4GF@9uh{dwQ_&WpIf6#i8NF+{6x{y&Ao?ke+jtlFip>sB1Eb9kj&y z%9{Fuay_s~TtS`|BI7LPrKy?r`Dbvbotyw$A+ld8L*l^!e{~)0z-K+mll>tpX-(_c zJpqJ~tXv!)2K zBnwh?QnpE`C*!5eeON+mt6AN8JhJGt@jihuvjF?43@S-4XE!BIFd%T?G={lOFjUN| zP)>xM29H-E9355$TM2tuw2GGrq

          g;8K(_H=OXDqY+FfzfzksL^nX^_0IGUNW9Q znl%Tbk)x7 z-~PY{H`nFNlsAD)L`bCq<=}>)q?mM@^9fStqbapn?WuEy^-Vd|b1>PG7MbIld7WQ1H3H@abJ zVzuRp)*U5+w8)gN67e;nj-OLGriVJh<^R295iDdh9onfMUQup~%-+2#tM51k&fOng zdG20seq*BYdzGvEjg-X>hta!rhS|nrO3^q6ii6LgRNn-jP8F#m>Q?sxppO?Jzz1+F z3SI|pX$n?&2}koXo)k&xr&CBkcj_U3UgzV>6zF@3^`g|Q8yKjmCI zIi_q`R(uIARE0>tClIW@P74!9_b7?#ybI;Wf}&LxM>~g@IIG}3&hjiT;z@4rR1|yq zy*O`$zzYdxO4Z9T2BL2N`Ug$;AT2U-e*W;ulZWV3dXK(;@^G*JaBy;b@;*8vLe`;B z&r|K)x!T0z8k&8A{WuiYuH>qIXR&Y01git_A)TEjic;dk#3+E-iJkl12SW zJ;?PGi9nUtK%c!?#%gw4XflTBI884h%7V9MoOWme-f$j}Nn zS=1;X6j`fhPD;lMbTA&ufrs+974Y->CEY%X`7MDm8j;MD$~9MQ2yaC4OohYIiWV)bjMWUmNB+lmQ5J)Kl^~XQ-Y4eF4 zU#QTCqIoU8&Z)8VA;2n>`;&|dak5pLQo6!1c+&O(b+CLzhzRseLki+J8#^0 zw@lit2n*e&%-O>+!)`7I0Mw(D4+yrShXMXp8&CJ8A1pMC222Uu!oa@d>1 z_SC%)T?Ae8AbNF2ep0BG8Yif@w=2*K$ZB|PO7+I5eb;#qy@htAdVxTz$-qab@cFEg zMKZ-2d=uDuAyhDI2MhO9P)jkM#2tq+Bzg!yLJ;eFNM}8{6j>5a*GX66rd|ADUe1)m z$t?Go@--^^D>dQ8TMA?Q)Y$Vo`3$rpVE%T--zDQ2#gzZj z#;yK91&4AyLZ(QAXb4ED%1XwHS6-~t9v2Lx;5WgbFZ9yU1dF>I^Oi|Edfx~nY>MDG zYA!%0YNrM(YKb**Cu&myF7BC{TW!>(toxv>!2F_H8%%<4aZn{rB^2(QtI>>-NZT;5 zw#j}Q{Ih@ z*0pyvD!>qfq||ybPKz;X`t3aaynBE5D*CU#(VCHLf9JRV(+5>vLvOE)Ieeim(kn~7 z^KgH$Tis)cDJ**-l>4^fE)1vv-(#4s9{lO@$6()NrZKV;|FCJbeZfM!IXY+Kaji#s zKbZA>qr?DAf&};d3l;n9XYn##sL}W&BSA~eov0^#2?k-lf_gM?EvxQI>0d^CU92Hdn{cI9(d=l1@YO zN?Qecn2>)O%kNj3YK7r#nwtXNL_{*{PE6O<(F?zOwif}h38Cxkz;vhEcP7G-^EgY) zagP_qSyE{csnHFpZ;R$Hl1c~k(LHr>`v}XKP-nSX6lJ7wNQYU!C%BL;=Nn~s97kMV zQtKAfFhQK_rePO*20O*+#RaPDIHuONm|HVqV^EPT1NQxzz%8+kyX$OD0r^4yKIARD z!Yj;(A)|vL3zm3C{~GAX)E?ac-gEFy`e*P3YD1f(sGJ>|MYt^2ffGCku)x5rHgGmM zcTE1KQ@7n6>Ztktf$S`?jsVCd-a|)6k(M1*eGOz^7(oG7u8udo(xZ#D`HD~gyV2Jq z5G5*N`HR8fzSfRvfDw>=r!G@(&p+%CK53t3Q(hFZ04Ss}j*Dpy0ig?I`bLE(KQ~$7 zzSOPMgf9``2t+3jBlS|`E|gJYbWGV2COUWaIPclj7s#+cnZ@M{Z~C*d)0ffCzH_n3 zU7wx4P+k7P)2B~6Vh5%>++n!nDqpA*Lx3FVYr63WSmU!wQnZd9K(>e-{)lDZJVYpc z2&>1P?IPh!g7(UF;FO}4^?cH7h`E!b)h@v|V8ym0vo`P&LL&RnS8t)1mBB!5wMVPf ztWnGyL-!@>>5Vw!K#Nh|_E#S@7hoRqTBPe-s?zIR?ATO(O;#mHp!w-0Wns(#Tn$TR zr}JY|F`WA>=sGf|A6x+XE&?;ykVDfd zXS3oEym06(bzPN}Jc#bx8utey6@9w~o-f>MqFJuqpPEJKL~Qa6 zz-XD24y`V~ro2m?so6;8YNv*qex}CuTKT|g%RhVex=ZcVMtE@lqX!4Lw%{!g;ti5M zacXoQs`ulw5OUDFq8lezTI_}fAC8M;l8Wj)-GKN3J(e2WnhXRPVL4K&b9To`lBM$$ z3u|=z5f4~WQ#2bVqPze0hgF3N8xkFJiFZw6)8QAza6nzmMMn!<)?!W%3Uf9n!c3IC zwQcj);kLa(jP;@nx@mw?aEtt{7zbb}bRTYWVuOCH%uYP6c%v3uG(2tW4|~A{LEVTW zBrQQ*2xUg~RxK*8V4g1l3ul801@9a%XiRfJ+fZ^e==URlf0R_@T**dA)mN{pb~3TB zmGcYh#ABQfD<`d(PA%{mp3{SV$p(z~c3oCtyMMT0@~;_>NbRq$yT&ExIb^SFTG)uC}V!r`U{9EU7ubY(l>YbOkb#Ou(? z^Y~J|>JWV)8E{ja_~k>uqEit%RV8Rz9>0F^S}mvnqFSPze5C<2$U$uFtha7;JwF(t zE5Lm{6%i0hLApma|Cq&%30l^%Jr&6aQ#ygZ2$~~%(-*hyPyayn7$Y-gyAJu<*8TDI z+?^?-uBLSb3y+^a5xi1F-7cldR`C*oH_LW+B0ZOFmN;c;~S{4q7!OsOAR!; zE@?z8dS{P6R2z-@A$+J`X2~J$lvqyIV_j8}E=o`#6)UB(w~mqv1SUY1RR_!w*uzy& z%t5GkPrA&OY(2>*02}s$C?IzX2@eM1BfDlE{Q}kwR@H!^`Ac~Px@S3&TuKC@`qhNG zfZg@vkn}I}I|qg|jO z0YrK;_ew~fq?!EP#yBAz6y{@TJl;0Hpv30n*C#%Qhax$-S^3tmftsg3fxJ!f4$8_0 zgHd)FZ^s|fO7KJkn8o#Cn-J&-k10~qtD8d4}{~AJb4rRRou<%x%U1?qb{yBZr zwt-QRFTQirJoHi92FQuonL|Mn|E3#qrntGC5+H4Kle;`t+I^|pE@h>uCw`OFD-Yp{ zmFYl?;P#d{yCfMw17U{A7(#`Q8uHI!%fvgs*^OQ#*T5CID6iA;W#cx4!_ue=vxH*x zdO&b#u~N3Gt}G~v>URy zjT$C*Q*WKm7uD)_p7cEBMXV9rhGWIX1Qi zQ)LRbS8kkEbdidUVlX%wz}E--2H*b6OaiYuB-Z>I6u90b7KTm?9I{aHW)@`p-+Vk-uU63AVv4L16J?CX(RG}~-ETf-m^0B)nEaW`I-I~d_u(G>ikbN)k$ewYM7vTN_65_Ml1m5__>q( zGxQyf1!Xz%!jw+d82sjATU|34s&VcLVd&g40K-U(U=@aVkQ2{guqMhpWWcZ(Od|jD zM3zaICVIVIa;^2SKRT%ky%czrrYy4*V{E44?dI!}l$6j)0m!epKlSecP>c29Ki_;T zsU)f2L4UUo|G&?x1;U04h9K!hUK8207r=*V!1aK;E5U&JPAh)g!0N`uefuj?ED=(Pt=+7Ze6Zm?a=ul zzwJ5S8X#0({cH$i>HGc2ZEP5g@&)87xzdkc0WUhIZ&4Tzf%^lB?wTJWdw0W6sl+P$ z+YG`l^*^N?&;|3Pc+bXX2yAR4p2pyS*S7;2?8#(fOM;OY(?6D z(CqYlBiguS!?q#-!A5SUw0fuXIwgP#*IkVAZ!!8rpPK5e3I&6@PK%YN3($2jN7_ZE zt{$m9IcA{>Y_gsZ)p|2fHwxEou3Zyy+_Eh_c#Vuo%s6S=BGCp}=LFyRDB9bR<-wK!|7uqpGmUS-YT1x{r3EDQh7B-t|MN4b$LSE3}3aO3&U*nQ7>rbNj z`C_PL4}b(VNjX_xU~qCch+fXpoQPAR$7`sw0^YYa(iE8ascgDdlqSD0e7R->Z1Gnz z#!xP&rHxHm;(`l74S|=Ig^!+NGZ0PI*PK!aW#M1L*|oN5u&P3o0YP7gRG6bv&05zL zg=_v+ebNfCr9E6{$EgZp-${g8LoR4$r)%VcOn?vvOpj4KzT8Y^q8>+7XJdpPw$*;n zkJgT5gO)1613VP~@j7pk0$>>ACZZ`RV~^(e9b^Gu;OjUu=N)pQO4%5&4Z1d~&=;Eb zgOihftqy>H(u!^!+9x!l44g0&7^k(MKni`}gN-S3g~UnHHBtx%SR7^zs*sAo^| z^(f=meZ5+@4D?dM2AvGu_q!a!y$hgnR%_YIb(IxmfQ5#&I+s+G0lcArm!~?X0r0q> z8bcfIl5nkvqfrJDy|7)!uxs3`SC-nNRDTOdm_%%Q#OH4^fz3_UuH&<4? z4vDGBSwu&3mxx&3x>3>^9)OhA(V*Lm5p|fIe85PJ*s&|i#aog__^j%Qo?LU0`3a1; zOqdyK2cNma9^L@kEw{Rr+rNc~V|jKF*24`Y&>>_GL9gg1D{E`@&f|A#bEN|r^=TRn%ES_KE;?iMD-e`Zsct ztC^@q^USeW8b~Y^X1pI;Zs0#kZJJoa9lhEGZmA@0n$TMxsR*SX}$dq zK4?NvyAK?4Nzr3%C_OIJd7qbtQ)k2MWBSbTw29a$O=_^qn{d?_@2xZ#3XHdGki=cW z&5G}MwQkjPO@?IqVcz~Ht%%ubk-RK9pb?dLqEm*U_MmUV&4)xc-Fz9=Md9dcWjA>c zhMTBYtzEH)d2RVk(=da;(Hb^BuN_I0$7u#KP~P^s4n$7cNBR`H$j8FT<0|nh7!RvwWa7mILn)Q z3f@mcFFzGauhZ*vU1Bvrl&D4aX)8qY9c&eULz8weOO95o7uTk&7z9DUvK@kFQM55? z{UBb@x|Nk|ca0Irl0LvcONOCsu+VwohJ`SvQfj;3iTsJw6z)UDTrv|}h2v}hdY}II zoC1SylW$cI>d&sZwcBomDbmBM7ZCKA6zSClD6FAXD$+b75&*~Sqrci=utQ!pYSLa$@M&5sOL3{;l0Cl`7r!7M5qRa`P`IBn9v8n;o&090!ELm zF8UmV#E;luP`(LBV z3d(kJ`4OqD6lfo!jVHCl%N)cBlW~?VOGD>_l$WJr{+P#!HjV>O{TcPu8w|P+qEARR ztuzatrV9I&obwt-e`NApYQe#T8`SAugoqu%gj`y1asd9NGin>@ig*Cyn?5JzLpn(yh}e`dPs4Gy=z`@O;Y zJ$BPO-2aJY-Z0`bdw06^d=a{B?(>Cd`wq`~uf^Tk>K5G*1_CvMNxYt}0nQAt$l>t& ze6**!r`~XQhbMdRUQgECCYIAs?Dubeu#s2R;goHtv8*^~wY5NcKqfFtOYJ>5w8b&l z4UlC{YniJ}tt;0i7;b9IJzGa(?Qw(wIoH=lKkF;TGXs{kQdv?>`cam93leO)O#i;Z zf&IrnqOd+hT5DagkXe>-Ms*X_hEY3Hz zQ?e@5>dRPO2^R3?DIp^6P>Vh>H?y^9rRzqR!CwqgYKv1C_sh>8ym=5k1ByYzw^wBw2RQpb3c@BAYRjvB_X2%v&tp@a3&?8?Zew?Ni zFScOItKN&Czz*qApXvviu`oH-9+*o!367MGSimCEf1Y-PQk4&aOT&R0DHg#muDfA z7O~ye^D~5gXOi^08)O6sg3*?zwmLtK>{HwMY2>c;wj`{lVp1`Jc{!jYzt$eut0vks zS8fuD0p0#Cnv)j=f#A$OVx^$XS4Kz?`JYNIj@AqA9I)?`I$31>Oyr~LT+G!0yheGB zi@AO~Arh-5(vu~Or5s;Kqfl)wu{W|2Kw+nl6b2cVc&(20A|-gQt(QguO#?yd{G2di zUv?_#+n^4&+o8H)Gi?D8$Z4`D5{{Wpi+Db#!h)Nura4F)O z{8~V;9P~SY3LtNBLm6~+Vaci*WK37PCTlJ(rU_SYJY;21>u*p7n94f}q`J%T=mBy- zD2kLV%34}ROyJxZ}6GtylKZoo_zH+tCTEC12X{QehXF#1& z_od#5zl^@K#6jY#6)1Cds@3FK0Rp4Q-3soPkh3KYFnc5m*7!snC29m|bXAVw&{Dp# zfs@U^_mYdz96Uq{0+6tLp=Ja@eD?C1syc1+t}gYN=!-H68`AlyGP#h!a+ASUm6yYx zgB@7ngU8LAE6Mo9U&eA6%J|3EQh)BXTpQAjfg$qtKc?t^jv(+vrtSqU#w*AbU=@aj zaKxrq`{5DYuyheyHLUHrV9=!nbFgl?L6{t02AyUWHKSUSoGM1E^)R|=hwDl+iU(UP z$3>DX;1XofYs7XoG3IrC+;NrS!Nu{Rfz0Nk_X{5`d9Gc$XqWkhv0E#|N(ZBWV<~8o$umjLtWLt&*8H6F?VrHI*j+!8c-U89 zLE|G!z$H`7nWAhb2nDa3Se$;gk`{Tx0(26Ax`z$EoP3lVCI*_`MUqAPKH!tv?3Dg9 zhF_iOUscHS!K0+7j{p4HA(>WRAYAmNp_;}Asw0t_U8`nvkIe|^LT4C`(LNYD+QMW* zEazlI#B;%V+JDgRN9r5Nm3x&Y*9r4Y6YGK+$iBnp%q++-RnAX#03}0`X6l862Fwt# zDSx`YG6HCBBr^@zXoju9muitC2vy_i!FgLsfX>M6u@*6mBUZ1)&+xSN)*+BfR9idx$6e;yQXfGTnfaJ&Q?n7E zR+8{o&h^(n&~TI)x0;2A@(RBCfrb%Jk}OUqHIs76-~K>@L2{pQ9#hJ=I-IBQ{TY1! zL(R^5d5f5cmf-==0T%o@=1*cWRfYLG*cvrru zc~Zu>a|hTwSEN*GMer=W&gm8ixKbkLq=r=KQWjZ9TkRQ)3lXlZ-rlDE`5wQI5zNzX zA&t;50PGt1W9moYv~stx+)mmpLB`F5R$^T&MnY|Z2t;nIl2sf-kr5$r!gE94VZx^; zScb}7EzR6;%WfeN*Yd}t!F(!wIpHdLH)Q2x3!<~K0`=!l-@bx~z#04({M&%Te25!j zo~lIO26s&`BsYob5J)&R?d1wO+ynAK+-xR`3yOR`Nhi?@wds6{5J7vlkr+~_1kxlM z^*zInq$N|P$|i{aU+&&EM3QY?6Jqy1gI8hD5fMNBga^;fOipEWW!6Vm?c*M;-5>ko zcK7bt)%*52cc0BAGBc_&x-uj3L}XTVwUo$!7X}ew{s=0l_lGdv5yT%ejHn3nYkmlV zIHDprI=>V|aRx_5M%VkX)_T{96(3pEXWu(_n7dC`M#NexB37*Remw8<6w1+6rgcv> zA@obu^PU|P3iWnvQht{!{c74AK|_*l2UiUrf-+bkFHW?iH`tq@8!Wa>FjOn_ltC?^5)@hLwqM1M2aat zr%C)uZ8qR%$f9DgXTaBu@QipJ^H71<)$Iv?`mh}_*Q3N$SQoHHv=>S=?jhXU2u}18 zn=jl#Is0{JKj;XtPe=CwWVFuUW>ImqJoKMOpVpu+T9to&zvg*F*bKWGB8TVr155vQ zxalB7zfR4*E>^R59`BnLpzn!?iE*9TKAh{M%^!QE&_D zr;0#q3pPK1538qLr0;EjIVn~VYP&x@KZg|S6+IyW96$)Id}2Lg4C5D)vnrhZG)+D0P@YhCvR@6pl zhS6oLHZ`MiES_{*k~pP^FPS@f@Gmy-i zPSUT%-g)zLT?CxcFZ0@ADKO_Zyy@FM8WT&knp@WB-%eD63rNbqufm|P zu2hm;q#3i7z?vYkCZ-}yn7-ff`LJtz56=o@u5kE66s|;q76Z)wB2*E(fsu!~%lOx2t{tHYI3B6V-kaeYY0PeII?Nj`F{m2@rlLfngde6unQv z1*?u8k>JSqP#c|U5j8xDQGdErR_-L7%BSU=!P1Z5cENe5i<0Uan-aP8e%%w($9cgv zZ82GQK;kQwJT#U#gY#qT}nQXO6O_?}28 zt0{&ER7qEWm0MRzzc#cr4vR_9GpvADbw=1jsPepT0G`%>RI6ZC<0Kslk@0!H4Eld} zFTOSbH4^Pn?SaR(!{yTC%n;J34bSV<_n|gApu=ljyb2FRQ{lk2hPpvjfAR75q;oAs z%R1jo=QBhf^$#_%u}l0YP6=@f=(J@L!)~O{Mbo25C%`Tg>4tUg9iLXs&B_5`lh-+9 z%MKmVWpxuptQ#HCKiok(XS5Dmob3#po9;4hr$ae%Zlgj6QTx2*IjtkNC*S#rJ7cPS zE9bNDiQB6gTLB0mGXqmC9vX_dU1a+?^4pipP8V*5(u1ItEn6h}LLql(K#G%Nvgl4MJ)c*GV)i;!t z${Q{C3V$rd`Q6bM%U5Ctbpc++IqaKnG@ zaX}U#4?oix-`CE|>O%bj5)mEYe(jtq4gxUHk-`6Al9-UUO!Q{@a3O$ng%{7o)xxTZ z|K=bnZ8IGiNI=}UQvzy|LO+G+`b zs&cXbIKhqY$xi2LZO1Lmd<;$_!4=8W#7mU!Xb;QFk9rJsx-yk5hSq|VFhLpNLR6z# zxDp-jR|YZgby)4FYd%g2O7(9z^F4{x1G+$(NKyVVOGE-bh0;ZfwWy_hndDgSvAza9 z)cghulyCnIWg~tKm8rI@%JKQboTXlCXddrQ616?fOtj;8S6MV}L{%E};VA0iahqA) zR+QBo+VJn%)@s$?wJ02Gzw49T(Rk~-K04}f*O;pAR&-(NWIJZDAxALVf|~%_Z?6k) ztZ9Qs0l0kv=%YpLCA=R+Z#Rn@V6w;B+1rO7cbof~;aW8XCx6(P55qpyOxsyhYybgc zb|3E!M*F)bQUCbS0Q`y3KFt_4MAFLW_Ew+C zc8_RJeK1k~(U_jmo_srqQ+Ck54o`fD!_wM5pkbR-TdwES11o2vvEV{8j~`Y zqS#g07E5a2vY9i+q>bp{QHbc^WgE$XraCkv3~j8)n*88ZJMlr4A3(4hP(;ddAJniN z{DMK0;s921ZNqJ#vyruiq`=YP+<00gJ}59kW$Tz-s)MNCK~T$OLU^8*I2ijYt**^X z2ZJE9L9Iz3DGvT(CE0~5nOQE%EYB|!*1Td$F0f%dmc#=$j#iH?Z~`rE15b6l`5J0ERI+ESCk%voQK8u4n!Cjfis&czFwJP~t z5r=L#Yx|sp!vN)=zQaJykhZT7k`qcF7z@}!%YY1xCk;$DLTS}1!PaFG!`GObwahoS z|1ZwhZ!>savrnQu1eE93;KC*EoTXHM<|OrOD@d)HS!F3S(p_$(ZUuGqi$odq7XQFj zkHJcQ{p#ssjtC&4S+nC3ygh_aNv4~420+|geM(w@T|L(QXfgpVSOP{IVJz!3%fR{0 z(}jd!a8@6N2xq!sEF+6MiPaaoAWkXds!+{8oYi#qsB?FZK16rNox3~!5Z#@0?(XCc z-D!kxIgja!d#vls;Rjnida=kSut5fAm6xfu%Q>&tfA1qvo9u_i9So0S`>^@Q-`P7a zm@W!9-tCQ@P1nS3gS=j*Xjm;%XvK0ZZw)2k0r`+)Rud8~4*5-Pc<{QXr$|?YI*> zMbfKP1R~Wd7=HjdNU4!iwf$+KCu|LJp)c}6EqKv4`ScPjZ&=S|u^4IM`#j+Afbi!3`B8P>#L5t{X6O`xMWs1JLH*UB2VE1MS8F3O zTcCbgClQ=Bklyp>x`-wu;^r{_5g#%rwV_Q%@N})}E(z!L^w3^=ytoEVlipQHm&#fF zvUW!6&eg10my=C#F^?wdi{~~%vJ}qh>_w_T9nB5Qh=($a4yaXc=G4y`Geg`7A{DT7 zwd>%*V$)q64WlOYOl>iK4pVgbn0OMxP-a^Tb z?ZZTK5HHfpgmwGy;Z5UW1pwsKV&(DQMwJxo##s(vVrnqBT31{LD`ac2Lq0{Tcu6JQ znGn?jJ}YX6H%~FuBz_UM7 zextzimuj|Q$?GyHfQ@Ua$(+D6n&vB{>X^nAahzm2RkI?EOA3}Ok{Gj6Q1+Z8`a7g? z{S05;Bq3{%YzZ8@S-t?r8@M}o)Q zfk&+;5V%p>oOI3~Bn$Zj_tUp3_wu0z91*m)96S1GCdt51D<;8Bt9n^D69=ei0^?p)$@ETVA+Q{Hk?z8s}=4vr47YWR_fa2; zF`lSZS+$<_qK8rMmz%wV{eArJ9{zU>|2?38ALD-~aPB~(bqah%MIs8c-S{~S`zoC& zmj_%~I8RNDi+JneT|~BU1?P*SY#m z%;U~QcsA0x!xfh|oi$5ka@f@Y4NOR#&GJ%YtwIvbDiVz~c^#ieGaLh4T7+-bTe#~v z*dXDDr3pqt&uRol?um(u{|YA)Fuee40LIEpm4;fE$c|ViGT4x3+DJc(`r;Sj;cxDJ2id#S)i(H(~*@J zLtm;B<#n=_EqPb*LM! zFv?Z32Ul*?K)}>5@$1FV(F8tE^;i(gQUEeX=#{ExrEKQ7z$$eeM%BzO>3em1S8Ir)L*%JDEjL+XFIXJgWu-f*LuE^rIdt2Uaio0Cc76(qQcb@OH&EY$}}sWpSP_4KBz!F2Q_?1 z`|<`YUZ=zUjfHOzs|C^1X$?$ATx{!ZfG0uCn4C2RScZ(6X>~K;LCuQzI_uP-&;wY< zmkDB|C>;571dg2@pw*fe7W9j@m_QGjs)fZW1J z*DIUucl50B1lT>3R8U0{C`?z^X)&S>s4q&q6ROSDA=`VxkSd%YrMZK>`Ba5CTGMtV zy@hRZ6ZV;^HA`7=iyK>)6=?nT)89Zbo=WPbF=L~*j+DJfL*U7;!z>!iKuGJrGM*JF z79>rQ^eu?{qK8Z%is3a7C==(1zCh$^l|2Hc4!>fcHbICI14JcpFyJ6YGTPw<0`278 zBN~MrY+q^@v2M#xcn=r%y-t1NHp@)GM^ih-anl&bPDCaML5z7#t_U$2_`=bN?QOrQ zw|z(LY1sSc5n6tC1b_QPZH0wtL7QZ0xO5<5AP7AKia$Haxs> zVTWl_8jM`6bypP1d2itXg($w)ur?+-U3D}+c&HdK7HnO80?KO-V3KZ?ATN(^5 zqg`g(5{zGzJqmrnqoz$@H0ty|M|+1I*SAsAaz1jFa{^ny+p!Jhi<{+2ZHWl%>9EAr zt~q)*P3!$=zvJ@NK8Wya9BCe(+kfn1pYB{*m}+Ogz;O8@0i_xqB|HQBYcsO|v=BM5 zY!~dFhX~-RvCjgGm7s^AoF$kSbjD7D0<=VXRN1h#*gSH((&JK{Q`Sg1YGC|{002k# zeyJW@`O6;<$bT!A1}lVvm6btL z`EK+be%x|(btc&?gnyYZ*`MAk|Epu->SDwlt99pAvve|-BVN!P{I(W2NN!-kob+|%_I zIHI7y@*W~`P|dfh$Bn5ocu|@c(Bwf`a2O*Tj=XjN=fp_-3dG4SqTvk>klaADS}xLy zn7}gO^<{QGQ8%&5FXKheN*=Iisa65DNe@G!t+ZX%8hdV z-x-WsoUD6JoDxZ$AedruJI!P5kTPl?>&UuH6x^lAOK7a{y~#n|{_BX9-Gch6n^v|h z9+!#J3WTrNTug2ZQ$_`7Efo=~m!ZHPvLAvyWd|tI2Gu6l8nq-i;1H`6y4N}yH=|!R zQ!AI-82r+}Z&nvxHdm=v^8EwDUy5-Os+g!!ml6TDPe0khT7Cfw)ydH#nBQ3j6_e2m zO_M`CBpE#rM&faW08URs3 z_|>-@FZJ@^jF#su;uM$N&pcEdgx!}Lu))<$zJq@nSu30>u*IvBn346dTJbh(9a5C% z$f}taU%oo4dATo`MdwQ$1cgQS6-bCt+NuxNYPF*!25c@SRK0T*rwiCnBR-(DDJ!)z zxF6N@f1%d>$qgn&KL1SAW~=E|&8gN;-I{vwC!t#L-jgRRmG=wv|9aKZdtEJlq8T&0 zRm5YR1JRTjARC6(4okJg#nBGX5l=7Y`C{pVd0z-1udDmqy$(qh+CdQ$a74}jtjw8#LguHN?NEy_m@+cNt|<}tT@q8-uYtW3+_5HRp* z7&04Q;&#ow7`yPXkWVSW(SMQ5fY3`#dN}+!`ECuhm zEjsu=Y1|8`#_PCx;fw!Nc7NpKPb{N(^&yOjEXoGb@eNtiRkILlX8&1QPSs*gG{Mju zE>E&<+gN2#@s8^lnx@7%wsT2+rpsu)DP{|LzDyexW^4E9uXI*Ot97f_44?exR1kQ$ zw`U%YyRPtcjnhfD9hYKzs_7+QRk#V#KvGl>y+qs<6LpdBv9h}J0yMFq*J|6!76f2H5ZZF@uG)H$kZMc{$;6qc@6-p}7PgT_$GT;}3->0pUCHt% z{t4ZdZ_lEcx(@(mj1}YCB)}gAHriGnjM{{fFI1<+ z2o;YLtw~4062w*1xA z=9vpwKPNTEt(r0buRMD~-NZWDC-3G={hKjT#cbQ+fO8QFb2HQK3V$JWru0R?!U6R% zU#AOEe1Y|82s03=vYbwFxmfJ<4Z2@m^G=Cskk_Vb!(O4F+ZJ_3Id)_+c9u=cOF}Hi z{sz~1%r3CXy{y+DYbAt-0)-l=YQ;&)r0fL?FYd{A?xb!120PO(LnH|;3j!>D3`|Ii z#e%BIvPK86b{BLoYt^`rwSEd)>}7(Tc7FCVS&Ap1C47yb&YaafBD8)hD{f#uIVg+j z_3OF%s)@-G_X9Y+f&>x~<3I!4Eu7|ESrg=ttVbQ*%xzi`sVeYh6#B*U3BJ(irdC>J&hm zcjKrutZ-Ohp_~3D0bKnWNNwSKdW~3)r$Pi!-*@wBc1E#V$d!1ZdXs^BdQ~=2Rp=Z=#46-$YuZYTe_I~*`TMFA*GaA*j zmU-shn3_y)JF=JJ=1W{*vWnu>55-~HT*RW?k%Qd;SwN=0(SGmlRV=!6C30HOZ!?xDt-@5C!L0;x%OcIhlsr~(p6yMsq7kbL688vIROnV$0aW;5a2@@XvYsqN z0U)&-UInf$cvhJj4%h@QI!!y<)* zGKVOkP9B15ZJcdf=oSS&&&_nIoFKKmJNib;SZ!%d*`^|ypvh2eQ6Fh<1Ar%GC@R7S z+FO8{k>Fk7@9o!5)IxX}xSoD*zrKOHw=H9L`wvq6VF6Z1FsB|PTcr6=vUVoisa@mv zYHja{${*YyNqw_amd;GvdyejK_JUC{> zNxin^@`ssAr&(Z`f*6Cjb>)6yQG(hm@BmAR@zpYpkY*zPg0($0AF7SnNBw^mCd1!+ z&=AD+<|yROJWuR;xYj z3EXt|gIo|lci5L>;Z)awHR8G>&dZiCp{pb~L&3a-I}-IS8C(tH9AuwfRL z7Tk9ojrOp7S(n8iHI|(cuW++MJugjl2WL>Vuh`rSTj}J+NP<-ZMq1QzjkUdD?xPd{ z!phRzC}T3(QKQY&j`KDtAT>2M#FscsX?QdY)L0?(^;8EN7%5-VJXRPf_z{uIXpTz9yJOo)aRE11XV*`^=y%&n%j>=ZuAZsNr7Ddhm5PZc+w_z zke-ec&{;in^hq-H$gJ8Kpakf0c>-&g-cv=Xx|7#Ep${2I`6Kp(?yk5L!n^zs>M%Vw zN@9&U4%FWM_YdyA72kOy28lx?R1JUzn4e|O!R*&+F4UWzc8ZB0gN?OxvdStZsAT<- z5gP{!&V$mKuCT~?1Br^5tzn)Y6Wq)Tb9y&@^ABy98fulW+>LLK>eGK$hPLjYeA9Iv z-u_t~tI=G?Cax5gh1~HAOfm-!{Wz)lU;o>bo^O zW7Bo73@}#G(k9tdeYQz0b!mS#pt($vstNp5To0tQ_qD-oY0$CY?5R#r@6%irxtb!i zQ7_KvJp>FpWb6p;$7mOVjtqiSt_G1uE$nau$hTmc2qpUjCMDx-&B?dizWz})R9xY% z+csV-L6miYFFGeSDNM5iQj;R|6%=*T5#&%OxZInTm9+xjxt^t)V(lv#hhoug`>13h zEf5{OZ|lljSkoutYQv#w|B)G2aT>4In?f()+KClnS|&kf}>Ng%LLO7X!b5wYg2m7*Kngi)V7{0+qp}l z_T7#LA=s=V^||H@Tn)1qOJp3!L3tY%({5iE&k2w#^s0=Rr5$DuLy7fF^BHW;ZJ zQe)}Rw~L^U`rn>C88nY)L$8(ZnajfHwdxVUaqro*3`Yz>G`_`f)Jl@B>L+&;Y z$Qu#0-!h=ReKjC8zkY%{(QGx)rZ=5P!||o1Tq-=Z8-M=f6^(6gzayVi>sXR^nBBkI zcxYANCbk?I5gW2#4*#K6qeXs$W-@#)JRBJE;Q%fSaB~(5QE7Hkk%^5xULiY|k z3@z#*V}LYoH(6|o8Z!f01cDt4q-q{+#hO{#*cQ4Y;L8{fEw4>1_rWW z74C460BfO(_WC3eU|I@82|R5e)ZkTnB26P%p_PzGrC`KUjUQ_*5=e9x@%xlLpu*8L zz!mT_JPdI-BM1#hV9+?wp?(76US~YSI;@ctRZ<&J@;>V8iv~N&;$5uc_i+)fsjNgE zow`a{jOV~CefDCT=g?)B3?R8-(t_K62q#iWHN<5Q;s_PI#Cyr7VPSg#vCVb9+VSMC ze1;*L*>D>njHziR00)M`owm%#H&$fY*JN|SN~gU8q& zgcb#hIZvHstiHVUpo8Uhoz+efF&lX3L1x(+w_3fHde+*Tdo|8iBw3+s3=;VQZn4qc zK*mWb5fT}C+RQK{N=?{O5pG$}0cdpy>|s$njc3VH%?Bf|tal8f%4AC;po~iICu%NS zz!%H=Q3|08wXWX)YTyQPV7(0fndQ7l_HLrSxj4@jH-nyJ3pIyy94uexyb{a;H6j0- zz=RAaTJW6)gWSkn1SHMT7kOU7NAcLe|5{&;P7OMe#w~BVDL_M0xpF7;bKrw$mvu4I zCLERYr-oimxb>#OpLAZvF_9wSO#I^P^fc-#+eK}Tar6bO0%vspr@F%Xv@G)}?e_zp zP6-G=h#;6QD%1B~2|uMxY3Byuk^v2nIU(4_)c+&Xp|&Q>ezK406BUahQ2wTr0>Ig0 zS56*dpwymn(Je{dlfCFV0pUWOhCA8o!Q>FFKo79e?tR=LD#k(X;Iw}A`Kd!bur2ep z2|c3C=|S>NR@LKd2#c46c z(kQ&BP68!K%OQPKKsgo3Y78NRPW2dt&wQY5Io*{8d>FnSTP*F;0FF)`jfbO?<3pCD zRBu|Y3To>I(X*vx5w!e)qXYFvxz=wkA&yG-m8l#DP1g3vN<-Ys@#VwRMnh)+MlqYw@=o^xD)UR?{K7KoVhF zjp)nO1x{_)sAx4#;clmMPs*7^=^(y|BFcR4cKn#hA(^?FZ*07O!VUM2cK42>CBCNH z|HV}Lz?SUttQMB%@!Lz~m1hZMduG{WMIqcyL7%tGd3vX)sWFe z!tLNEl;PJMMp&6M0j2R!oL=#|g+pZTLkt%O4_Au!r|2c-nH7W9Vrc7;E6V71_Zu`JM z6x-YyZGJ1TAt;!xI~M>3h?mJ(!f!}si)v;Uh%BI`F%K~Py6^AyZ?N3q+8Fu;nb=i- z*%&m^^rfKX`Z^CrEX_xDUa-6ItccNT?5S;)DP5G`2JE(OnQ(=nryYPmC9X2FuGXDt zk&<4*GA=H~c$DM4ihjA-8y$_3NzM!NQaw%NL&tJ_Sk5yOuA@RRZ|i4%5{LnY0YfOOnme-?r(<(>X7=o{#6H zx)0kgt1JTc189>qTTPs4G&(m5yZwyzj5BPG_z;0~h^L%&K+HAyltgQNp2l(m`#kk^ zjr?#ux3lwvc>8oc3@!5BeZpBa*8XnvhClXmklZT8x&bkihcUX1n-adY+Xo+a(DZB% z7kCV;t4%gtZ`=^A`uN`F%EMK5dZ{CF*10PMX^gc=lyiQSK%hP;t|S)*4ac>)h;10J z8XCf3mn-&|JG=l?wOQ5ZFN}M8kTs5QpjImfop={AYD&{wO;oOkA12DcG7>zbR?T$Z zNo;%5l3&R3oy7PBZ6=#y(iHo#Jf>D)+b{+vXu3kOd?B#MI>MSyQ}rO!CzUTzrU}l9bO0NXKaAq}+4bk*Q1p^B2#)P%DkkpOy|@d{%8Mw(fUqNUIEJhiS%pi}K=!)a9} z!|wf%S<&7Rn;-Y+34G7?e&DS8^b#+Kw=v&GrKHjWcu1~kf zSXn!3(A~OI7iaqF=1w-rc?>cM6b6he`TTahef#v8h$ia$tMAqZ5}OIc1YrypDv35- zI-ADdz+coo_nH25$&qT<>dgtDbgibTsxAd zm|hkWNN5d4pxH{$0=J&Sw`X`PdY&#Jf)57D({J%73>*BnBmg+G3zUsr^RFV2;+uC! zrT(1=cV86wX7#-=@J@~onE@IP8R;_v3nwOQLVrtN>=Wg3j8sG4;E@r!AY=3Q82^?omFZwuLS2UGN&8^{^eMQWg$qC(M)<70#DEK%>-(<_`LQ2 z@}@Y~zy_x3V&y!7_VRIb1oX1zic>&jl_uF#4Wbty*?g&iEv7zKLt2Q%kcZ6b4$U=; zR|)vKusExoG`Wh^LR2W*FDm0J^;344S8zg-*<8KN_!77{5k*%f`a{8}E(?r0{r8kV z;1XjVvGS6-ILN-@o*eB&M5_l=`#*Wm##Yy&Z;gPc{k>k5xAo;+cnPg%txOf45MGu- zm-GA@6|**(pToj*04h=GIWDTMSx@UpfN24&(-lUcPX{X009xWo;%YW8l-Bm90QaY{VfL>Qd0%&BP8(rZZWo|Uy0+J!P z5mQ(ad01<2O&%z-%OfDKIrdviFzdezUVzcdlUCg9YzbHhamb5y396AdU)mpU#vx8ep<#^^Xx((z~IIhkl z&oZ?#n7Ad;p`2b)PX@R0vi5lu~$i7{EE<(#m?pFM_=oIa_tCGqu`0u@1>gOg}7 zjizx@nqma(Sk3N9EZ8Jht0I4g2ock@I;G4P8^?1X&rMDHwQ`*>!#MDeY8r*m`+4+J zeGdKj^MM%^G!Px^?e!3qbE3}VtvH5MiJ3H@JjzcLCWNvrKP7y|gvh2K--LIwKTuj4=|4YA7{5eqjY@M!S5YV2gyHO6a`mSTOzeoM70Cy(( z@>~dUQgot}quc?K?pbmkBLnCoo!aDMWR#na(S60YDEI#+zD)Q&MnQ; z5_FPxxX_&9Ml`3(r6bW9Z{9&g4DkNF18Ke(>hZW8Ff;zW2ULmKSixd!+1lb2&&U-C zwMnvoot3sO)((TY0LfcPWAQL@XvqzO5}jr+jFb<*2x(jGMyEs&Cc=OyA*=o%Pm&Yr zX=YQll7^L$UCkphQY3On255QFEV|WWTZOVTB!mW8>P&swv|mv8Og;CJCekO;6*Qau z=!fCWHD?5R_uS}Nd^2Rx8xf-$I=HcYHEk|XtX)S6;+7%U6Iw<<5lB)DQy)Z6j9moJ zPn-eV{?(6sX$-AQ87P+_8h+5rs44|@5eRbQqA%PMJ3GcFnnm&i(Nd${;Mb;mQBekR z*X!#ZQtlBpaH0O#M&p8IEv=fxK8k%G-bKZRZ%8MCD>63!ZjEM_?~(-bJQ^)I@^m%~ zQ=V$p!SR^jDW!YkwNMHI)!{lWYuXz?Trs3Uto(y=E*L;0c**Dw`jru41VQJK)g$8~ zv$105A-Do-rVMSW30_}%kVPBZM&4NlC(2NCO)l+r`LU_YuPe;Qy8Oq=$O18j>872} z_cAGpo1awcfv+$#hSkmtKlv)3XVGuL=}ry4Wwbmz+TH(2Eq#t(wu~KzA}Q1}*dw@X z)OYK~%Qoe_(`|g7=+9UE7u zJ+hw1`hlSkZv9=3cgNjtl7`gbHt#YZ=jPRly%*UP_VFBHQE4VC=sBc=qKAbgoyJRz z5{c$KwPZ`Xhi&(38#iq15=k!U{Nw8wqRv_;Ty2_wCe%JjufI-{0V*o$MUe_KX8yRa zbdb&-7!n>*_+uxs3!$2*iZ072IX?#;fU!k=i3AA#<(H8WWK&3tAi1<@6<~^-VvOnO z4wWAZ0;1{(683%Nq&~E@EM>>|%3^g9eG>HRBw>jD(d7p+92Of*$!LXl9!Y3utG8r zzBe*{c8sWZTIDjd+9jXq!zN*;4>ywl6a;GaL$|^$NH#?d1-`!`_W-cfSnwIE%nWHr`>nK&Mlx!~ABsZ538u_!RC zFbP(azS>zQ8-;OOYj8DyFkt&TQOpp$Q?6?38g@!3p~@tJ?XH}ZTi3|W(sR9%Op>*7 ztuq%oBWWr1>;Vu=$;C;YG=sh&{ceZ*GF-E7j+<&(T_TYsQvdorXhf|-W&6$K~a%gX%g##d3?IDVyU0Kf?x^sCwB zx{;k$R7Lpv(26B6VYZqnPr|drj5;(w;M(2jWpY958KdNlEo){#D?{nOj4v11(30!8 z>bLr^iWZo!PL;cLlEg{boGe$3oG0nJ_G&)fsAX%j=Ajn4!YV@7HY?ytj75zMP$RtJ zHQAnNISnvz3mQhuz0oMtPPR^m`1j){fDH3-y+u5|Y-tV8q1p#*$Za9XE+D_+CfL@} z>7nb@aGvt13*`%Lz(*5ekZz?PgS*gs@*Hz4nzeHg>XzH<8>UE|OWNWiTwMybPH8SR8>T zA*u#3p5h76?P>HDZVMZC9C(Je)@v$L0{($PQ8tTyeZpr&{TDAjIXi=S^*^?S4SjX+ z7%5E>A-NeO{T&+H;X(De6+Wx3zFfH)UB!d`7;F9B&uG~Gy!XN zh%_0=tU?m^E7%xW=8kvA4AxfMO~4_ZzzO7wt2a1FN=S%5q?jYvH1H~*Gc_~-Wyg!v zJg$lL$6V-Y>R(xmRc9RFLF;$M4j&NHFddD25!zlxH0F$;(wHT4nQN}c#|QCM&(OHS zYBW{O&ip-$_%l6>$R4uZFAb`)VY_kN+A{cySlK1(_v)MY;ytI&*zi>I0;sATiX;5i zu&B%=suxKCK3Sxm%R*TXv$!`1Q>w) zhX*`9_+)f!gyWKHTp@6$lMKU-@x`ZALOA^OccB%I3$@2x*{uctv|8-`9XimO^K`L9 z#;!;YlXn5R2KLqu;R!p0`R6%TnCt0UB*|jXG+bTRvs}W){T~yAaaQG8N|Kq7bqqM- zwRl@gP@(=06z7?yqPVQ|qOk)MQRdt9{jr`oGaZr!WKeQz5SJ7I6p#+l%-- zPN0)nyr|K=JAM7?;hWc|;_m9usG%rD@UBNk2Zs&`IF&1=nS)E@W1@m@9-}8tXIqU) z%@{_Xa=G2h-ap!NhQcgm-XJ)C>J}7A!;R;|R$ZTP&slOUq~*R{%_x6C4Bp;TCu)Xm zXY^>iuR9}5igmfP@Cnn8Zob9HKM`MS;+RRIlhQ7HCY1iv);j7Vjx3 za{E1QEtCA3KTkc34Vh%_-h$gVvc1_o)u-s=t+m3>X9`@Ehre*<&bK+)nXlskcb5$FP^R53L>v=UfR zM)L8hu$ql}_@k49eajuptE<peQF$(*ycmMMi>q{+c*F2UP#pl(#ho0OXGzUi zr;xXlDOwTI>;ck1m@_sNhQmrNwT*pUb6_}GL20FG@J20x>mui7ae|FLmj2vp&!zIK z%4=AoYjll{0CV_=a)s&>!_XkxMTSoxU(8zMFemw>TmVxQ_wGDpmsC-@Z()&3`Nae| z7=ipg9w@&(j?z@vG9%BQ(>^K18`T*t^4Y@Y1}0b1oLw$IDa+lmENwsIntrry*9Yrp zzosKzoIY4T2Xzk)3Nz;)s3S~1+8r4EaCA!-3+#w${xshFz8&7a!jC52OfMI)R$@O`tguiDs)v|dmk7TAH4627P`?;+k< zIX6J{p)>wD@RH{-g_Ww~`5cZvhT}ifh{~H8Ckd*fIm2T=)JW8ZI)QyV2@mFlKKw(C zC!QsXIGxoD=ai5BP@_>h%X%Ij$}2eZgN)<$pZ>VQ5^1;-@YjH`^D@260sWRQR?3o? z#!yMo$%-%cMlgc%2!Qc=`^`$?#*22)K_dn%{i8+aV+cs~2V7147q0*j0)Ip^wdiD} zq&qt}+B<%?e{gujOb^_J_Wm>{16!OA$GiKQeFWOrKU9kjk{S-8_qnp%RU`1KHk3+w zmQOJ(mR-Oqsu5HBhs&j8LImfJ5KC}2HUrcYKwgK29yjQ5T#gTi2ZwvA`=~!URvYQV z{oTXi;qHm4t}Y;r0{f7!=QF%L42RBdN&+E?mvEiV*2*}XBg-Wi=BxGGKznGi_)fUtpFZ3@ zhz^f;kCaQh`v}H_zo-ZDj()~}!LbOvYe-XJH&m)$mX&U_1&ReEM+Z>BizvnoK%l4IiZ{ET|@|J;cdTn2?-RM|bCesetTwbv|O6D3BoMmTbLYF7L0 zRh9#wL~6uD)#WG*E}}LtB1k!$3yiQV5KZ(3&iyfaN9|

          >fb$%26{O*jDP&E>}pW z-VCaoZ>!v@!~0gFwDC9u6+@`v%u`3FA|s>K)IxRpmoS4}4;`4QZ!_WW zVo%WB^1!q1EO6dmQ9mWTke^kdP*dWkG$q6q5||MV`-}31&LMAVO>$cy&(+fu@|L=D zxq3^TPt4QYZw;0vQ9`EM^ay>Z!!^iu}Wrn1YDR| zd1*?+SMgLZ>y`;+%=GUzt`F4%J{60FA;XjM3U(dRL{q>+1)S4TLKeP%kt(s2_%I&<;e%Y1fZK zt6jGZ!+Rj3QT<4`NoO63T$}8-@%yX}#+*cPm|A}^UoDbw*+YPLPPzqHx-g7*E=kpD~#Uy`+{9hOPf~_#~Z#f2L_YZT+6BxCw$sT@Zl3iq{a;RR1&397kyS z_KZ2C8SCPUivsY}i3!oWwI>*~#~XDb6j?~3Qq9gQ2C`cV8-MHC!lcNv_g?i2{noXG zdTL*~zR$%Da9=w-I*K$>KZE8TZvVHBDp3g;GjJg)HZq`W4-jc@^C)DzLcbyS&1;u> z)X|XEMw<~RZm6Nv2oR+#J~ulsk7BKXU*qCY_f%^bC_L~mdaF!3H9;SeDn*^&Z9*O# zDnOgb{ZM#U%~`X+<46umSYhA9u=?il7te7K_@_AeJZ-Y)pQ%MYS2YE&O~Z^Us_#5w zV1G{(;jMtK+z&jta|oh3=&~DhH7>Vti8?Q~G7&SMlo91)i+I)2Bmn(oYw8M0po+j{ zp<$#ts6p4aw5;Pc=4t?=tc#6waS9?uFp{>~Jf~bO@+Am5Z6+5&s%X~v^LSaOIo9(I z)f`Wkv4%meZ#X8D76fp><;2yu;V53c?zUwcfjRKZQ1t2|&o8CYYn%z+24)4F=Lo*4 zl@WxTOLpMNPUC`4^>zGP4}7AP4{fYEV&?Q_FePERRs^lHzWcLewPs6p4@jMl4z^`m zkpb6sVwKz?HJ)3U^FckMil$NVzPaboBa{Yo)Y>TQ#Z&3g5Hua38C#aGCPY{m!Cx~> z5Q>%zd4~;>dP5LyWFyL@UVlS2)N`V;9Y(KHM_*6xE21IHwQLp)#`8!D~!9KK)mNLwsvuivJqU5VJ?h1$~{P znP&1+$vG_CZ*$u2!#8^S2Ol+ThHk=ACaSjF4=bsy!2Wkiu+e?o{0>jHp|KBde4p2B zde_mXu%Pcm3-yndJDsHO;qPG+g!3{0l$o7@c+&x9078CMFOxHY68^kVtnycHc=-8-=G0&Zt?uoFGycDM@9D}5EKmS40gBNe19;G(vY z_4y)whnofc)3i`USCl;=Hb9sP4W;61EZp}|0(bJMzK2JZTPTwYOiRZ0Cg=x*8`Py) zxrV7HUPg&xQ>Hv~Qld`1K=r_$_l-C?7`UN~GyNLN9ua=HMr@|PE} zaz)ZMJcW9Q^L$o?uE)S9O@+r0_e2O27z1e*2MD3Rqh_FhPnqp~GWCFOj`Q`GIc$8_ z(WUZFVUdH)5PrMNl7uz-(CiE21Z`m#N6&3o-;p^eO(KhINP`SDW;D=qtP!5PP)nvS zJ{NM`t(T6^93@|{qF`Gbm?J9es~hlr)u%+P;2S8VU#kDGI<@LmS<}D^V-CPf{WqIz zvVh;&H5U7%6S9)bFTwj#<9ye8nT4N8tX^LLV)u9 z85?Wg@wfba^c_J}uwfT+pnvNtn`t+C`Yr}?luy7N9qoZQ+Gy_>kM%<4l*iLaRs{TD z3<=a)ZnUi2y`4{WoeO(MJvLOR&Tyq|FOaGL)+9Cb5JNRFkcMrsj<;aUvc}QNvpS5Q zPp4?!_O~HyxQ=(B&AG;#5GQrG2Ri!>x3C>pf&%0|WI}w@V(LO!dR{D&7>FCy4aCvt zcyDyv^DM!~nhL?Q{Q{u=IzWX+Z2x5pv%qG74ZHLzdW&1+7^)oNtYuDeCo=ox)2C0P zM~4SPlod5NcA+3b>Q-rXo+^9yhIZLC;j<>FmZ0vPY2(aE98a2J)F*l8?!o$RJshmk zk7sW;RI0AGpGk_PXJ&+UtEe!?RW}aRN7RQFl9`EL)1Q9#pxUjGdW>qJQR?mBAf~OPz65V0!M2>Y)I#Z!i3x5drwrEXtzyNs((^rfdj* zG4&t^<`xze$&)Dy6YP5v-IR+2X1bZ=9z$BJzc`zIHZKT~b@FNQZ31z_WHgS(`_VWW zjgOR*{KkV1puey{<|d!15uNBlU@ditp&HuAWyfqR zlVR~C5=#(;U>+B-1HY1p6|1yhr%V~Rx?Dv+jm}wrk|n{o5Ca%X&gPIfe+6tCY>GT9 zk|a92q>q68l5%@Zz`KY$oDslDQ{xH=8m-N~{b+Ch&PR^C`D+(YzfvNR6U!j&0#yRbQ+b(iVYCAWM#(FOku8u^3{=sL0E8QZ#~}?f`?XcqO5zpTqUk3)g(hd(z*ItMaYu#&y-k27>)i zbCeg?{Lg735Hw)MI)Xx?k%@AgGfh9NK6IH4t3JfW8Y!ASE@a15N~i2v&ZXxO^F8HW}y zUD{qyr@JT@>SNDR(aV|s<-Q#$n^7jriqg~P(#AKtV3 z!%p4bCclmfzYq_TQzjPN-xerQNTe@=f z^?i4SEx3acvz#vK!#b>s`dYyXPCVJeEAV&GB|5G{x74@pstubE>|6$)y9Bk}uDPEN z21eMvimwVp7nOV%Z64}avp2WLM?;c<{m*O3LgFyeM{r?QF=sawAlYco@H(q)BwQ13 z>Y#bWprsK{@02-K`)$5Rv$!{?`Sd7Z=J`V0Ly#>*s+IBQ)*OR55ZFuYuLo~)o|kK> zOx5WIC+Z^7mPWO^Df)_`F2H9-6F?au>T^yVrFA2NN7viLyTv$s$jXAcsmjYV9rNCa zn6g8Ynxwx)xC_#XfbznMmD?{ruBUD9MAT07?{N3ZcB^~|F>0V2uZ2XAea>}tC1k)| zn9mdUs-4K!J?7GfHS<6Fg0sd%G&B|S{2I_Bn^}q;3a1Y=O`YbQE9WuIf3Ztbiyq+J zZx1gtp&jN;=1v~+(b4h2i4)=F;}}-QGqi6$IvyUJsM%(UFucd!b6d7ZlY`wu^`l9B z7(#gBhN3+AsSeu8oWo_sO}kz7Y?~ZIA(oU+(FVX8jW{BrZh;D*$fQ*P$zCCH{<#&6T*-}i6n_ER)Bzs;b(*(cFn zE7r6H8^Gr_D2N4i|1eyh3Zsj3U8^HZ0bBGWpe(w`Sp=$1|3yl_1i&mk^*nn)sxY@h z?2S(0+KLW>Glm=r%cI-)zYHOi)_bh*fN__!<6!g%vKVPmoAILafpQUZLPC+owUS=c zX(2yLCIz_=2bc{bVD!JyDDBN<=#*~rI4_#WrPf{vdob9|tcP}bym*Cl%IbelEH_rX3W~?W??Ug=BN?c&N%@tTfG#TMPKBc*EhnFV zTLcCL(Hit@92dO3A@^f6bVKB&&hy}Ie&zt6d$a7E3%Sx+^io+|&v3A)-@rp5(7+Syv_&457Dq_`X11o z1&&4LwlcDcKB+76>|I)MxdpHE(6DXQ`PMeUYg#AOy*Al$v0PzI;Jnu#4;Z)2I0sFzr>-))RTz!-N?zT`buly z^3K#_)jk@lsqW4#R_&;%Q0mvt92WIM@tr|8&M;>ViTI5Z8l%1YuMuUd)Su0&fH_C{ zReUe;VzODbRT;RfqS{VzEW$FUE&Um!dFM9zLrSm?0#2*fibJv$$OlsuO+|vz@)@q? zMO%K%oyp z)4^J&Oprt{z(bgk@p%_>725%6{| z2X3&H4^?i_fw-Q-J<5-o@j5>0KDcz?#r^X&!TgNCAZNK3d0y1={nJssJeg-BAyI$v zM@>+;E8sD^!L&U2l7QFM{7mXrYInG|Aggo~vTvG{0+M(-cd+;&WSFKJA|vM%$X;oO zb`=Ng-iDkOCWWInI4v(gDpRlgGMvg#$dXbQbQ_MekTeVy$HB+VILvV~pmDbWv4QqO zjA*~xh)BljhZxX7$9G10SHH#)MSYC;nt(6O*nt`7Vb{rZ{)abCk6?0DKUxuq#?Osc zi7mcTIr6oG5w9D+JWH)tf8k?4q%egN{8?N$v4y7_fR-qGeJazN{dKe=R$JPmSG602DoElrve)l0A7mh5gl5Ob%`!YS6N|M zkN?$!1DQs3oq7Ys21;Rvn-%{Abxg{Cq}HO%u}ilSW;^D&~8&j1M7(*%eZ zO%#&3E?Io3mawaW{AR5_t_hc2+$^)WL@b;+DcY1ZWj8wZ0;To{p;hbc zz%u*|BdhRezS$7bpTqiWu{olz4&uK(@;VsyJ5H8He5W#aW5 zeHclmYAK`JJtM;y-KAm4CEePzrIHT#qujd5cW?)iYI-+%p{sR)QWoLC1tpBBOT8I{ z@*h+P=@#aE12b1oKIUt+uH6(=<%uZ_=NAL9Y`MZtbh#V|uaAQ98H(ldes8PWIrc!i z#P{mToyu=~Em#S|ioa{&)5I4{jJd(o!FX@)AbO!1QqS7V(G-qG`S(Rzo^kWJD9g7tEE$`Cp?F|9%(@?NW zGD^C{juldLOWLsw^W>I%OeR~fOG~r4oo2IlO^zrCu7P8^Xd;Z9Z3b-G;I`3xISr($w8w)`q<-~lq#`5FrV zKYCP!tDIEl8b#CL&h-lo~8&d7w zd6B4nO3`XC8kkd-l zC-4@s2gm}Eqtx_jlL5N}C8J7*h=M=5NkLLDo`qtbz1fI0s+{iGiJ6KGocHLv+b?9k z>>Ui+-jidhbQ~^6R6qE5NBfVujCUfE9PsbPA+zCwbtTmSmvU5o!l;%HWQB8o!Hb+vt=WIZRp&hi((5b_OsBT#S{ zNv+thr)~mncxQS8C9OAW#Pq~i(~O|m>Vxamvo+vee4P)Kd3m93;WAT(yE2ZT=?ef# zxxu2J!}ygI`#b7?-&j?vsE_Ys(9sXoOwt(!|aiOHhTh;9hqc}F%6V=cq_O6 z8O}G8f#_8A(~X+K!_ipBtWucdyka8Fm?ZNQako5A4|h+1BivL1IcbtQHuHT$Kx}d+ ztzfiv#tjz?WNc26o#}pCC%fa(_V@MZP~X=UQk|4o&;jXo&#}m_XN}DJ0bY@2L%PlZ zGf8y0RvF1E4^z9p7ZLmS$q~_4{TH3I!fSK#U>jW}e zQ6KP*W{zst1l?W@yLT#13u(57028AiO00t@Tt$@QzOc(?MG^7!-$_C%YKU|MrDCK0 z8+5sd_4RomjN~F{pQ}eT9Nj5cfogS{Rw5X-IQ_WW9%u@D*SL$-6=8PW`1ETz-2jWy z0%#eE%>pMs+y8JHvrrQ8sJDyA-NM>FL{QZ~(%T3?6)2@(E*#M@eW)5On&oS~I@Rw; z?OUt+*sfv5)fBFF+*SX0JhO0SIkZ<(*t+hi-D#8VxNz8AS?F) zZRz;-&pwbP3}>AbYns#H%ea`%sT9T(!qc=@&AfnvwvgV)F6vLVMeePOOjq4^-yl$< z9p%<4hMo^^?^+@AYMw6QS)#s{G>)DvZU9$6sK3xo+M-OxPgI0K`lcqF49?9;qjf@Z zBu;gU`iDonAa3;tj4r5pvBaNU*;$1Ec*Co`{jVEqsJxL^V8d#EngdHK$-a7dAIVNK zOQvi+-bM2*IDx{csGVPPB5DzhQ4V#lQs>lxp1huXBgkvgi7hj1BmRD)o2i=3(vtVg zI{r%-p}TQfM%pN!u5*&IH5|A$Xj3s2Dinb-K?E%G8l$E+Gvn?i@6u^b$9E$7%P6E3 z=RyD*xZDYRvMJUPA9Qe2Y)xnx3(LV`%B>}`u}xw!EPOHp;##%TW?8JPx;%)LG&V_= zCTg))-@Q6<2xTExLON1dl}k~7ZZs$=kb5`Zu6?HqL;>-6d`pEb3g<@ z8;fZ&RI5OIsRNWc<5}xw!y>k?ULUyGN9uo%43o^CKu;!4iz(#ps~RxK1}rOQHBgGL zkX0xZxoc(-7Mwl_ocCz|5qh#P0s~E|l=TRCCmMwfVUy920#0eRnc5m3{6ftBs)vYs zEbUMB68I+wh!8CU z!NH|=NWciiJ4c`^Q8pZAK_9{TNxs2jsMKw3peC8NFtP5DR> zYTQT-sdt*uH-@RjypVc#pio!<#rXs>1M;y4XPo*F{=bj>gmh)y5oJ6bfjfG|pQOcl zE_ZkQ0bcx*C%Z3R>|&lpdrWG@-^CSw7hdl`luo(yZoQJrrYgC3pI0;dGN5`s)rC+~ zu7tV{cQnaoH_`QddIP{BknRAz@`WbPPcOw1`z~E73m*+JXzcA~x$^45GzbeXsVu0bn0_6^uw$ z$38TD$mGT$eZVxIAzdq&SKnp)h<;Q3Uq4<#Xjm;51MJ%f-o%^rJco-~1|a!2qILof z&~bqW+Csq*&`3T@R%@y%AD@68?6D3b3w{tyFLJ6@=I#U|9wnA-uh~6#$FuUDv@zW$ zT!qeqGEO(9=H94fS~nZ5PKIGNY64T=drt~ny+wP3?vwuP41m(R%K7712@T#eV? z{yBnI3*hpp#LVhN-R#;X#BJW1p${boov6M+^>$4^6u8~4)%05=lI9uu`by1-~- z`SeM=H+%1z%&BK#7tS+nzM##%TJudZPKdxQ6R;v`88Z;I z)L%?IUZK-zJWH19bDjpJ$~=5{S!jh<0zdcO@(+ZDw!|)LW!GcqLi^t&7w@C1X^o?g z05;!WZpI^G#TMTJF%$-1>$?$rYCXEB7nL{5Nxop5BV%RNj$1&r{zRF}vs|@yF#3i94*<|Adx zZ_;3@5xZa>4HKNCjDSTl)Z{3TVrr&kYU_*)?7`hPOpHdL4kDt`HbKLMT|0wT8sQN! z^{AnW&P7rGJXpywXnK@C;~JzUNbB2t3R|Q)eWpjNds5A}j1`KrG1y_RAiSkVj&<)r zLY3MuTB%L609fZ@ou_3YAZQjT+%jTa()B?`1=}>ld6R3kb?M2eHr#cwnbr_l$ttJ5 zICl_&ADh^xP|kCdOD$^k}TGe73F`9vTn!H#CX;*o%rv6cH0qc8s?=TAowoRvYS|R9E3S?2Z zwRQ?%)6=-nbHQrDHDbxD^)Z#VE8l34BiwsQZ8(pGTIvx`2s)g~Puh-^&cQd=Y;tgk zLE1zQBN^nvkJl=~6bZ|{>(XaTZ#!O{NiBSZdnQKUG6 zGa!(0GrwZu!CB4z(x+W{$+k-D$=v`Oq1c=iQ+Uz~?kPG-Z}74mb&xg1S#lk{MZ2pP z%EJU|g5Ep?Y>a_E2pLvfBXw?1V@WZw=jkFd8q^m4kgV~^m{g4iT^P$44o0~#%IMa_ zrq$Un)Qe57EZ{imk4~H}nkdVt6GK?m*iCW;S~Z&jpt}9h*y*Eztc>Xwn5wL?hquKB zFguGBvu+0iuim|*Xs?6IU=)&kTBx;?#j_ZVcVH(U?>##1b!0As3HwI9%jXq!gpo-J z{OLbYD~}K;|97(;aFU;)+`$|c#`H0bL9@-tW~r|v8j}E^hE}E-^ki4rk`h<2j#L7( zF#WI685F8uQm9B`Q3HuuxkZ|+Z~R@)4J9**W2;W(a_ zI*BJ_^*^rj!7zz@QRLS^A`36Nz{*J4vNuJHm3(%2)mpk_#jI~u7{jCM(E-`8+lJ#& zPZ&qQCOtK8^iI-pgDS+_sXL@|tWYd>VC%es=&&gsJ6Cg6?VV-dMX9F*O{(^mb^(|y zHp(Ts1_^=91cG<)99P;DRv#6Z7-lC&uk8vGBJMtplTGk>I8HafNJSb5{|2}R6b1|p z_Yt^-x@I^RI&0}NMlh86(GZK|h4VxjJ_S+gt5#Aq?inhi(|z|$AvmZ5;^c~KfWq-X zza_xc83C?d;T5mw3O(0(_UP!T>(hOE=3ew2o%X$T@%%GJ2jdeoW^VtWOCrGy-Wn@3 zL*w~OeM%R}XZa*LLk-1OD8{N&3pV8%Gwy?Vg6%9(7MFU{l(^$mA9twpZ!|brHB>)1 zPH&tMj`(;-v#x|YkNJ)D1`@*?7(_TGEm!tH_%|dGnx#vvQAxq*vX0-QawZ%!DGV1= zo?q&+iE`%yR7(I|XQ>+QgB;Mi9#1euc{t(H#Mnu!Cry|7zXxvW!dMJtrP zPBE#bjDpZsF*70iE?g_LYhS;?+yCl;r=avyC%oh!>xpG}qGGEYad`Ex#TXhJXg3KnW_)MhXY`?7f5ii=G!^ls5m z8vr;0)JSSh$uX(T@Dxwr&N~T2G!CLfHTqIbqno-%Gp-DSaisTqHag6QPI0Be-$&U_xRMPwp-h@#M)4QWEz9%;%J&M*r{jPZFR$XQI6)h%&-I&6Lw0 zUPTtma__8TTL%o}GDPa4?6s--wAzG|HHl6I9uwHLWjOqd4RMzQ2GgSCkXJHT-@GA1 z^czg=yg|0$-skk&=XtEG;2<5(<1MLpI#T0AeX7zPROC!_2B(e>hf%54q@#u&YI$^J z!>!|VQCr*j>gnsJ-+cDC6XytqVI7Lk}YD9`|MwBD`5>m^$^Ax*6hr=DBR={EegJ+s7c>Q%yUWaK7K z3hX(X>OA2ho+OK4$e6YqJWjg~KdhM~XRn_ybm1_{1Pk9fUgQ^*9I8?Kv>opFn~LfO zjO-y_+!GG~(CPaw9-q%PyBY03*m6%h62>6n;b@qjs~tkOtY*_PpsH^9^eo|at#u)%Exl1 zuf36aLKr5Z2fti{nTAOFV*OoF`m;_^10KEyR2d(FS-%ECMjhKX;?^Ox>q$Jlyuf9= zqPCb^0Q6si0Cu7;g*Y~>M0TQlcDfV2O0tZf-N2-iIpS+x1jFbJD}by&#wRk3l|KaO zDPJI2xAzd=-b3jyat2>*4=dF22~RvpQ19j07# zzzlW}JonJZ^?Bozxsgw45Q09$3}5%@U@F`fNfnq}b%IF<4BFT>i1Z0qmKRelhGUr} zN}Z|gKfkQi=+H+ADF^1R`D$%OdXlWK6OMohrgm=MsVcMs>me;$BOqLMzKjcY4X#oM z65a%Y9CSL&M4N~)lt;i1YI0D9F1%k~7$G`mJ|PH9YEB_vl+nt&t4Tnza2In9?vSAQ_jX+@caFefBTlPr5|chrlpCOV;>2^4YBPy$Lk;qkgP5-idL4 zApamLh*$YqbHLJ?#?kgk&#yBsfdbP)OJO@7xr(w!N5geK9MM>?bKVh{o!joExPCZm z13kBE(osN?I{W;1k~6gpoCk)@dS16s>Z3ot-Tl#aXqWNcXm2$Oet$RJ4E6!j;=rpv;>{8GR?75?K%5s|oy_saECRIQ7s& zbc~FwX+%v3F!S17$4%~{UFlEPuk}_Is{(EGHATs8^g1;>*ui{L7+&*Q7#IF{49KQ+ zC{dr!CA(wL6ZqO9g;KIonWe{d0Gy^lXc$h1G0>@%AuJNW>ql=f5!XL#!RTOKzaFPk z)f6=0Rg)iE|K^%e_R;A0@OTu|=Csoc0);h2>|AG#2(9|;PMvP2&3yb1!Q`}Nm8<|k zZLGRl1jp>DB5%!sC9ev=%Qfr1yco3YX%!H&H9?6Gm(@M0>FNvVURLwaYHT`hyj^`$ zwW0~YS-RM1>*}T_A5?Yvt2o2zrW2bJ_Jy?dEAvX8WbDODe*4lmUI`P4jX!ZnqpOq8 zn%lZ2sj+eiHpJiSNX=#Ozf8{6B$n5itI~0G?K!IHTK*~jHFaX2YNA}JXQmPnAaQ<} zuc{+emw1eDF8YMqKg}94FXw66bN+sPnyuj*^#xI&w}IK~K3to3vF}WbtU|EqGcJxb z&*naDG=Kd;9j}c`F6+Wak8Od%N2H<|Ic$zIZ*Ncm+=~-;~j-&rhS*>O!KVtVu4a z?$y4KB`D%!AnL-xo-VF--7 z(sT(Uu%O}LJCbfJ<|bq8Ov{Ytc8@uHi8DJb%ME;Bs&z>1gezKa@U`$Mk-h{qr9d5Q z3ZZ2yA(maj4-j&QDfDS*PcOar?JtRJ_WofRs2kp1ykHeckCu9A7;5R zitx4pV}ck}N<6V}BY3)X)Np*yTA9~8Q4Q&AW`@8|8wOnS=BagBx?_O#%Lr4vxKO6q zdcLIMD6oF?N&K9}NbCo-nP>J=TqgH%GA$DsSgL4Y&|#zblUzr?lYrpdEP4fq-+0-j zb_p>ac_9{h2WrVj7ZKJtrE8F2x&elMXkxk^gw#gtxK?Hy+IqZ7g&P&mmJpI#7lcCA zhrwBdwH2xV*S1&S=W~IK4aL^QXshO4W4cNJV*`OgV2f_0ArT~{?8d18Rb~jy3V5R7ha;&&4g?kyU3gwZ6oJ+)A(@^qaJtwhD zuBVY5ncQ3{2+oSjTrG=l(_e1(MthHfc|RR1b4OyIa`-g_bVhZ(f>%BUh2-2C=k@>Q zM_WZ8T4CunzyAYJ>r`du>H-4I96G_aC?WvryfCZiufd1r#%T@{1c9v;+g~k_kcO9l zyaTRyR}R1l;Sv8tEh=*F&9#aomQlC;3ts|qE*0EE~+%mWxh|TUG8f)67mDQa0tB12 z||{~>CK8 z&r1leodV@RG&&j|9Bxal`yyRj$D7L}iD-h^DZEJ|{FJiSWuir=g7hk;BX&wktQycx&YB>;vyyifc z##f-ehV;c$AV#gxwxS&)<$((@mG`q@sO@|&lN&5wd-2(TQCmbI>h|LPdcRI?{~esa zQz6PK5b%Or*Oqfsd_fWJo1$B`zk#sBQvG``87<)c!k{i=nfNY$OH3uwwvVZXTteJV;Slc+^* z3DkwE2;{ODQ=%TmS$>{^;PJEMVxDgnX~3x$tMi8zW`lfDhKQtb2;b~e*K-cbK1Q82 z%h1rGuP?-4pJuaU1r?|eZ`2p7Q6ez?l_=*6#3X=F!|B)!PE(kO_#bezGy zSb=$(T&61zt^~;oSba*79gkNKz~-tZc-9wc#UlDF=xDkr7RY%~X&=ieybiFU$)s_p z;KGNu>K3_-TKzlO1jmn2?#2!@miUf6z+E=B4=3EY^>{(+pTMS1sP4%D$V2HCQ^u>8 zK*hZHW;hohq9}4&di~x0130zTshUu^Cl%x&U}AR-6kLrO8s7}Fbbu=_@2{!qDd^TK z|2U#QnikB5M^M_#)ibEFEqLIF&_xvrhAP~oa`RSowL7k)UB1QhSlU!cZ~wV&6-ADt zsUyGjaxUXB*N2UcPqbHQ3b{{3^+*j{qgR1p%_)em;NAd6;0XSr6Go8f!lR%DJj7Ev zN&}gNTza&4VO1uHRiQ#vIw11)%6Q1Iy7)mt$@<$STg;(M^Y=@In? zoCnJR#IKsv!u8a&!(hq2EwNa_k1cU$|MqYH0|fP#|37!{5-Ulzt_P|6+-q5g5fThQ zg7D#I(L|G)qHCW|avMs}W>l323SgNdDam0*lM8k4?`$|eZqFT?p9;mB}S-yc&ZyQJ2s zuKxtL<$Nu(Z5eN2-N9i%{lZ7lPgsIg1#fXZpR?m%GqRRNflu&TJV#&O`H3vPa*&_~ z^QNFei?JftrbQ8B%lq)hN$olu5w)0&9p&oI(TE=IUfucr!EiX-wYnj?)`p`UtHYYG zy3x+n(GlTb_v%Ji-NDY);Yv9?+`YO3tnP5<>hQcVJlegwL#*y-=ju@9ZFszUbw^m; z@y^xZhcG z1ZllwFYmmbWem^4l0Gq&)LM4iQ1zuVcVA(XP`wXMmb} z(o-F{*`$a}K&JI#)7v4QZBJh5h8Gnluy;@?1Wn3{&;v(u-B?&23%QDqn#2pb9QPqi zOl+!^5*O?16d6WS0{e`>GMyyT=GJOhFvXwIt7ajE`;PAk0}O>%bQ6+JR=qw?peq7? zu9G=I5pnkY1)6>2y-g};!Z~`2)&%>r0R%aFdlRv_gf+$hyb;X!6=Htb$D|>EFqWgU z(~~;7L|Bfq34$aiVC7COli(USL1+RkvKm;WM)s+B{uNlDH+rdukzXlofK??lpB|`vv?Z~t+(og_`NCA}#-nt9-sne;0`xEkDAwBs#3pDP7Z4lhDyss_Achxi2>Y zVbvqc?kjovd1zCe#TYu+wa90WqYLywyZa=Ue~03vWz{0f-Yo*2-N|c0N zFG}Os2)ADaP@VQdM6unXmQ_GS6xE*Wjp~&FhA8t6U#Ba&WouWXc}cgpe5=)D4>kAb zW`pHmmPNxeBdm*SIkr4Q&ImB44GP>g%+ZA=kam;?SQkqzhZnNWFXPKgJlI5iagD3$ zw54ukNti~l1w#9T9h?pk?(>-KQ3?l?11(tI7{irEOLYlmP5*TX3o>qx(5Gd(-DZPc z@FVYLiCdV-I)W7sGdbd%i_uV^lg9*|#IbRzH+s~`l)>)m4$1sNwTNPy&ck^Dp?zcl zyV_=f_*`ZypCIA-8UYhgJWI!@9S;A7#UwWQ(Ax!U21t#oD3^Z^!#i6}X>nt({@oE; zhfYcfOjhmCln_aQERWd|TY|iJ@pz4=s3kewdgYqs*yxg6sI{HY`G}x*YC;BIH^z;+ zG`s#m=|NSc09g>1D9CF!anJ4wD+lO*v5H4>zVt4F@nV%z<@ zxm?dz*xbv5;n7SnGtY7gh)!;z)#6>1KG9s(p$Mzm9l&Y|xCLj6WNoOFJmydn*>UQ@ zmo5)ZcVY8(_(lyob-dk{lS_D4m&FH5o@y{+Ud^yUAl9R1=Up4*W5Z~WZ_39=Q5>n?B92KL*lJjJa6mA5X!w^eK zOec=$dT1v8C7OvCdI>Gy$yA@8<0+yeY?BcT221~gb3h&nPq7r(6GmV4Z-h~!!-)^x zh{+u^pG(;BmTgq@#FC#ENC`>bI;p2mJyv~cC+X`F6aFJ5Y$g!BI*tnGW3yxAakSEuh4=KB=c`e0ft%XPvLE%usd$wIW5-_{C<ltqkQ&SZGPm`VD zC8e^buO?$vTZT~U1=tN>WLb6zu2BFC{B;OgvjL!|!9c-`oiMc(L&B#u`}2q-GjS$}w5)G6Pn> ze~1&{_MiTdA2xDy75%)XE{okaKV}A!vu}PpxTE+?2W6^nejINXVA-XULeTGgSS(7$_h)hLFsnWm6>hjfWSpN@vGfm*dYc5j}GaT)qv<& zp~eTxrG-Sv;0yUr8Fd&);)^{HRz=KKx$j<2vh5ZR`)>#>`c!RVRqzn()$@$dBk>x( z`e5i%E;0TEyRYO5l@ceq0;@&CV{3^#(L<&AR>ETHQV%A?s|OTf$0+~uF{T%NQxZHF zS50PSNZzJfv>)TirFDIp7OS*C5^Q8aT$W>#Fh=}h@dRezO*o%N+LPJ=pm8$6k)h|d z&1CQzdWI>Uo2}03G5PoeP_47SPy^N;c^EO6iz08SWl<`lu0=aH6oFh>%b?pkr~J6k zSq!j}%CpI|V+W5S#q+7Ucl)n&C8LPwCT~kj&JIQwuXeQs+RWuiJ?7x za2oZG&ON>;Q_5*|RFBT>K@BIP_{40f3dGlq>Yb?CI%c(o(8l^>Jflb#oQTQSefz&q zt}QNnwE-gW+~Yk>)>flXy%C*6P$Jn8q;lk(bda;_8s)R_yaPo}7qLQ5D24%dv=sUP z*^|Z8p;Fyp8s8*=XYp6ChgAvs{ZRo5#VN!O$Z<4DP&c=cvVeE!`exc7i9kCmAPJZ3 zS1y~Up(JIz*`b&gm4ko#!v+=t(`F6wamZBegArP(mm$n6G(k;*>rQ#pV6I;#TgPCp zOK5DMGjQC)>6-YV2g1w^gWOx9&mv3=ja{SthLa_F2IlX0mb9EY%rDmghiZQWj6K6c zJ<<~!=sUKB$wIOck6dmpw#`oH4-gX-oB7QzHLh8oVmC}5u#_j|suay&&sg>|(ZAe( zZmIZ?j<~hxo*O&&NNihNkAANktf8Ve-h^hrV|*N*J{m~R+A(3PIb2yVdKBX^X#-{x z2M?~3VoNL9JT6Hh?ixB%7%>lIqpk+CD674~RD<_2g_cY^=~g%Qe2Lz==#oVHj)p@e zE6FH!2S?7ilIvMI_uQL&Z>Q?ORzyevv=+XcBYPs#E1KLaQ;N@VkrjZP(S>kUK)2uC z+i6&oZvP+JO+NhVCSpkek-T6ZOOUa>7vues`*VoR;V#T;L&fGwZdU!>xQ6_W;g^X$Ni*>%5PN zsMDL64WGH~^Z5^W%CeNg_ro94>jr3a7+J(7JU+L7vqHvGVc_{8%tMQ1r`A3^LAIUK zowEa)O&*0z{5Z(A;|75rMPJJu-$q~CXJJPVMF04J)X{9=7_B;D|ESf{-WQSYqG7>Q!WG2ge_M zR|?UJtuH2A-eRZVEgmjxjp4#6hFQKVr}IQfrq$rW4o6Y{crU_fKE(eN9E{w87SVGM zdu0Lj_ADZ8g|!=dbl|-QOs-(92I?1F1-@quX%h(*hN6JbgPnBD1nH_oSRb~6?WDij z*nG`CX6z|K(J~C$7<%IED}tYSxu)14+FW)@d_YPOUOjnZCJXB!MhMtp9-?na9eZi5 za*7;BkS9Z_O~JK94cr5xYMgEM)XV|9OB8Ulejxn|RFq0%m>LQQ%m_-V&GGcEH)tTZCYoK-c^13tzE`^cqG?1E-r#bV%xoN6xPbrI7M>GqFT zl>#)adHuO8jMh<->F`}wb<>s736Y{59H8EbCJ|LbYUjMS3~l}PLU%fc4}Ml)r9mbj zVJPwU@aK+c{NKc2p%8o|Y~?*E;tw$u6lv3oogo z4LoRx`#9YLn~2hTV*Mp%L$^qB6#_(aLn#_nHtvdnOU=VW!MG#A<*2^amZ%4#v83C7 zlXskHz)Q(g6|S$6lI3^yRp!=4>L{;hnR6`GThnDo-{2O4y4rBwTgRIWPThuLH}a9v zivJe_b&3p^)+g8qF=fPJgdy*s_zZFlrHYj>21i0v`I5lEg)HMupgxU+W9Au5SK@oQ zCXaA|?W~ONfR)=KGc-jmrL;MLy-Z+6kvoLSRMN37$Awj>7A)2Mg?A~vUHYZimaC8~ zlV;(BLQCZMWQo>_U?$86A!z$NQJw-h$Z4WBs-4dQ=-tEzU`qbI4}53}&kTi4vAx-i z%39_aIy&Byn5ZR%!e=v>gXAlL69yZ$o}RsoFUDN)GS=`QXafX^V9m~3No3|~%-J1v z@g^zaM@Yaog&wXo{Jlm~*xwutdsnmMk^abR`^^}B)f17Kczi9fQ&-JyMblAstKep( zF2QU5A1f~Cis!i@5GUG1>#3vka3!KfcJRYH*J9jE(d(LT96mTYBi%*{e-)3Uxc(|-X&M`Cc&VuJun8)Q;B#t^a(R>BYMB?0!dTv@ z|H&thUc7kp`n3z-6TZ~dW-+j#a{RNuDAsD$33?72z-4*s78^gft4+l6k@bohC4E@g zLUb>Bd_&KAr?>x=kmH$XV8yCZxJ%}pskfaKS~wEtqu$uN&&xHuVWTS`I!^ks7C-+durE%A@7zX~gad+UmO6kv&V8 zv+R|$jVWXd6Jm?ZuKUq=b^V*>&(ebB${37Q6ehd^J|H}?yBv1p&*CK^Po#_Y#)~!n zk&((03q+1IYA5`t#8nL}8JKfWtlUaA5FN@Eun$S#LV2CcCX-Cgkv8S@aA1Gr*b@8^ z&#dv9vNZ!(A20Y%bP(b>GYK=QCNwh!-d5+q{Ts0T>fmY!O{ptwYG)6k7Y<;@FoEG2 z7>|%Od+*N<4<8(jexg!TF&O}MRzdgE_V?V+64L}en4iKE1+icV7yJFTOx0ZU~E$pYvw``KbXPC&*$8~pn^W)LkIZ-;E4-dZiv3N~v z`5<%S`Dm!|`t0PWjkfS*?j3qFJ#WI&a!dQq&MCS=2r!3S7D^($x^;;e0bYTd36=My zoO#V`sZwGPH@gFUku%tcIQpUl9SlV@d@%Zn>ifyTar6uL^TF{?@csUKANU;hmG{eJ z+N~RAkcHlxobcJ^DV@(P=$-E^ZmB6qO#kWQH;)zZIi)=sDR`p;=P8-0zNf%PRD+bV>EXAS?y>dPi#;@y@t?~Z zk6mA}qUX`~B}{(9RU3_T_boYJ1?hE(Y55bSyk`QsQ5-Nw4N;r@R#MR_B`WyuU5Y#m z7s+(mcPjCyrrR*|U=z4SHWqYTH-589IYl|0l4xtZU04mYOFM~vRxOWNsH1UmlL?fX zORp=}wDR_iq?luRqj3YR;GZ)AZzM`1a^*IIt@7qt(&`3>mJoWj5E$N2_d| zO^_FX=Kch(CKnWPS6cKxh+I4V6m%xKh+3>wZTEO%T(x766dwNC+F39mHhf(C>VF|1z zC0~LPGJ0U^`7OW%&e7W+J^$#b*2m%*0rTo6$o+@m?hvg|fH_aoj?|CG?z2ZNtaLiC$q@e2o4qnE>gli1F z3YSMbbME4?x=hx|IxWDOPA(HnoQo1DaZs7DsQR`bg6lfKay2zm3@}(PKYjgKbT~RW z*&ng(vVX`N5p@KjaSBUd9HSqzSi}n)(th+kENBXpGCFv4c>3V**sITd* z3CyUU6a$pvcQVN<@cUlG(n{Qn!x1IJAUkkSdQ}AlY@EVVcz|OB=pO7{Nc|_5+Go4^*lLWeuYYo(r2r6g) z@CP4c-m^~;s}-KPZaS2Vp{F^b+3_=w#~J}7%T$N}I~HypFys#oG_1a^tIR~T@bBVh z@+RzKIAuT4sd|s`{N@TxUXc&pn{V+%<6E9oAJK44epbEY6UrgcO0F>X-Q0SLFRtY1 z<5XD5vr57kZo-yOEEXfR^c5R5?VIQve^oI5(x$yf z^vr%q_{G~lU`PX)e)SlZRR-1*&wpGdo1`9Et!6*O$LvekOszGqD|14B()>?g-38nH zt9TVJ;&xWg-Cfo+6b<1*6`OlQu4!X1L6QqTI!FBW`RQ)}zirMXB0zlYCD$WVjAGH~HLzN2F4$f?o}dZ2hW`yJjbcU-nhRtM zA>Y-(J_V0Ggu(fv;V{~)dOsk)#_gY}u>R{c-?n|22s(n}ZAt)^7Opitm%OQ@ft$7( zs_mjyHj-Ht%JUnlt(6W|Rsr~!6f+#tFf?IvOuqdD|ECMrdu z2~D?2?uN|2DThagGyL;tNPp))PwCGo{dq=z#!=;_BmO(~Fn+gAFOm37;dW47F{;bO zsCJ5O551)ZK+9uRt~xd~9`07-;jT4eaD~u~w_krKgrNkmCXPW9c&?QfCL?9dr0iMF z@j6{V^ZIDdkD!CMz0d$e6|d!2!us5YSra`(;KW0)=hqx#`<(8OyhAoV^a<6Fikk`_ z!C7tsAJA)zV3de2yFl>Z0MB?^=l3^gA~8c-533`3(I_|dY1w1c7~0nIqw!@I?diOj z9X$RPq*jKL>_dcW58PEu$3!s)0Xm4D1+?LE<7l$mK#5ZX`>xsAt@>bkJ+_pXYTtUS zuotli+S=qvGU0W;X;j=mD_8j3uL!u9#+_CshY(ojP9Q~_cg$7r9pk>2^DbhN%W;{H zabUXCZJ_$eH5{m>+4>4kcr@Ksu=}ECSXWz zVcs<*P@_rhc|v6*qj5I9sU%$3uW>>&!~~4Q8hW%F^{AGfFylo(jm&0C&G;!dLuV=8 zK*PovDk-n$dI`{$h4P-y==d{~WvG||r(xr(s6>xBKl1Z#+ z(bi6taWaqB;p3O}K?}6YJyUm@RJX}*IimL$CT8Mf0Fyc?b&3Nij@B`w^UW5j~V1<{t_HX1Ve@NJNB0=G6sd zjatoZe7oATU7-~XZ$~HC&5AM1sfA4s++Qu;(fa-jdF=LILw}U z5$^@q6ZGtyV#?|X^zHEQ5dJ)ZQMWdyhf$(M#5WUEQxpd&R{rYZ)954qC)$;XTZKI% zwu+w&jGsQ=(bEVI?3|QY!sF)(6N29l+ zlSg1~<0EPjC?pJT;sUQR2G5KJ@l~8Ii6v5wy!L$dA|jP?UfrpjLJOppQ_8WPCKH3n z#11RMTr+z$)@!}Mbqj8r^v+MCg9kcUhL2=!`#w(R@fg18kFY6gBK2OcSz1 zI9un5p$C)+ZT4%$#I8xLm@3Q7tb4p~`!m@^saJGE_@k9-Fkjk)V9-ZUxI(>e+?2Y4 z@Lmd_h2F??zIN9NzM{@*<{VyUJ?Y$s=EM1lA_820pELUgmXB&)iH9Ba1}0QyZAvN& z2YrW>ZQY$Vo$L9UEBaP7gGx7yZ~C(G$ZT~B&0fcDwq#AT$}Vy{2tMMrqLg^f0vJk^ zk33950BX@2(KJ@+)qWO{M1H$hTM_o#)sQ$l;~2X%!hQiB<>!o2EGr#W zE$veqdv47=H7X{~-=Q&dn;s68O2^hGhJ0i(L(5^CZ5V0CPFa1F3{OIx!HjdL>UZ$% z_Hmgmr`A-X5yERQEwM%FdSRd8FtJalkrblE<-U`LYT^xcz3srh`s8xccIPZ#!ppZ29w0Mh1+ z(r|r*a)r6@owEyn?D)__uFjtCNK>W=3EpRwq;2}Si;rB>-#zmfsrf6A;cH1`l&D9Pdl|)FZH81Uq(;jJST$vgRo-i%lFkuz2Kdw zLOLzIdXdJfH2NfoD>2tESvU2$r<*!D(vq{c|KSJz%A-%HR~A38&P7&fq1P#%LOn@& z7eW*p!Z@9&W?s25hO+2X6n(0RQdT`a-)f7{zB5_6BYAu8*Rx;dMTw z#a73Jzm2}8J;*S35x2Gcv#+UE)!_sq#lMgUF$R)#}EjWdifADlZi<;j>3-CgREdkws&t*+6bs>=}7I6LF7 zh;z15q2(8Ly-l-Zn!JTKRIZ}Y@!{EVuc9a(Rud;u+;y?f^s)Y&A~v5xjtBlbAJ(gi zxS9?cX&0nTz^Q9^$~gEuI;$FH6&7CGIJ4#Hjb|1EVF*+N^@%uZ7yeET;Xd+lZQl&JiD z$rQm%HPChwpL%KX_Z<^K89lySX%G+0w>IH|W5p*G_2I8-S(s1~4M=&#Fs!2noILo@vAT7SlQ>aM6@`1(Th8)`3u{2puY=PCNA@Ac zR<{e%1zQj2gLk=tJE8#w^>Xz}`8DW!=$$IglX_y5C7RYYHwygo;etN7h&Ff!gHZuy*q(L< z+rp^g%1E&>3;hrgn;wk%OW41jprF=uikhC)^nM-O1KS162Fmo96T}wf;V5cP|Jsj= z7DHknMqkCjGQ!`j**Q9!R1;Y~06FUuGY4ug|@9l!_np+>@A~4G%@;ft* zL+w{i+XDiFqCF^ncAg)Y;uYw+(7VN=SLhvcdcVepY&zrf!xQ}JSP=iWKV@&M9hPC@ z9Gg$BN#J9W=94nr)*Q>xD@xb*LR5}@>-=41jbb*WfICo2D)j;-1exaSR$1(7iW<#% z#*&1cB!LP7#B#O8Zyo=69lczjk}xq`O+D8(a=N~(M%5#7Wi%CZ`yVhnvX0p`V7y>e zTw?-*O_`}#2p_+B6}>JulzO6=6xE3p6B5vavQ(7cBDHBlEGC#M94QS>5`WMKGC0-Y z_YWm((1VR@x|~l_gJgz7Zl>~46)OCxg}bzx-E=%B$)H1rGt_Wmx3h=(#}SUYvU^!& zU-V%H?T>HvaUv<^J>I6%WDINArSGgAXiX=S=z;ZhwaH-_z_a&Bv=^Py|NFTCsp1+o439nLBs4G;eV!~W>!JLoNE5;QlRwngyQ8mrT z`p~bLXyMPNm~6F4vn7)YJyaeM>V9HWZGl_3ATpeX=EcUBKF0jAaMCPWW<`S2XGI@JGyOh88a9 zbfgP*#pYALWn}uyleV15gJA^6t%5$YU^)nC-_nxrFAjJaeUiVY zp6{u)G*!5fBgs;T7JMOVg%U6v8yrxw)~h{#TtMBF#r za>a9~83A;B$CCBC@!DP|X3E7y{htH`aro#~k;Ty>hSgde-~B(R0B8JF`4w!v%NsC0 zCxsu5XT^0ALj$jFW;k`rsr=&3jP|; z;o&)aEFI%GcZuBGC04V0bf#aFE7jsXX$9NgPU%07taty{KV*@S1uXBemoVz8 z6_1}htU;XXgwWO%_!GT+zS-HZ`Rk)|f=v&|ciNuCMYaa3Zf4627IcQDQ#Q(%eAg+r zEJrp1eNhkoo<=E1Qpb7-(AIr$@=dWxvhev81fnQYZn+#+D8srcxC zp`ty>xs?~!Q(4Kd5NEuZ=c^W|>ECcz-G3QxFqOw9JG1zXDUB%cVrHC^E=lSRC4apB zE;ZsfwE)WWI=)Pi{t1-{oi8`m?FrnM&c%e`quczrNJn%V^{4mZY9idX9cVFQ~*xI&^(c#OV?KrcwdH0;3zpi zfNKIm=C;<1)E;bJrRByeY+6+`*1wawjJqu6c$0f{KT!EW~&&f zHe}AyOuNi3%bM9tmwtTv>PH03ht~^U8-ceHqyp!?ik;)V_j0NRJ9w}&1JL-pp0ycRF*H37;^?;C5_?z z9i5Eo&P(k7A|GFB?kD4Z2cZ}@Se#Eq59yqnOvV}~np0X=N>nm|F8Z*8I|E7U&@ zDf&Y@ENJZ02KvKB;~9?gD~#^P_-DT?l(eF;ZM(F?wtDZ{l46@&VFo(tT3^C~GJ%yV z+emYa+1#Z$w#j?f<|sK-cwn7i0v5u(eti4u4>{~)hlqqWFt9j_N6X?mQn91vgOeN9 zl7-wv?2WfjRW0O!&83F_n!=!r;n4Q8!i`X4;NdgN{C0 zjvT;*i>H&gAS^^UzsaWsdl93C57HHl&X38Ozx|7qWeQ9lTzc~=-FaO%vzZP6(SlW2 z_>i-s0A-XHgs>#aAv-QBUDDw;U3xTMiR3M^Pq=e5ua);Q~yw+@gA^N+t?4I zVUFJT{pd9Mu3RT_R;a3RDwxqcsaG?gtBpA$9tE6;b=7Ei)md=?;Vq*&>VGdH$QFbR zbX=#Pxp6+tqI90Yk6=>iGlt6NvD&T~6r8le&eC7E{}y?Rwy9!RZKjqo(S~P_ql*H}LeJg({fFI|Z#O8Eu9^WIpA5j8?`K9MLi4{MHzNxm6#sS^X z$~r$h-;WMq^GyT=;SWcVhT@-}@yhXMt70W8dZEK29a!fBn~q47c+@6*5)}NVNEFkV z)mm-NM+EskS56X=1Thnm6+&FXPv!zX19$ClIwfYPQWd7#7rI7|E;M~$gIipOh3MJwt5 zSIqnp44*B_F$N=o@l;iz((cs_xJKNV4t$t)$pIQeG}}b>yQ0KI%ih441A6?SWzdib z_0Oweme`7!0Yzy0&SqANzuC=7@bFKKc40gIsKXq^9h@L24pN{nr>uRsOhJ5Ywy;PM zm*j!N2pU#Ah!|?NvZSP@X*>Z-&~^qd7&*2?aYAuAAreK8kqb4h(AslXuM(Iyh8eu~ z{KczL?_Q~ZJ$z_uXg|{htC$62iJV|hV=|C0{XgXo1KLgZV>wc~!wbXH#>V2F^kH>)wG$@hM$=#Xji!ChKN z^Y3uyr%^-kJ)k6;)(nrAohvS*DNU0ny}E%&14D3P z1KXx(dy$K!b1)1NBEOV+qffY(&sinOWN0X~-!3&PwAe#*kEF2NKNJhN#-h_h4dw3h zB;lZq6tpMhkedZd8dO=~S>EYkme1pL`c6Uw<8hu`rCLlp^g;bDeURwr_#BUnxXga` z;+LO1r;qFQmcm}dnrHG)EWSu{dU_@Z`p?#$g=+DH;ue_Ywn8y-A1+f8NRR{!g)~cJ z7}pyx+0nK#x_Ndh9+LNP;GMkUdPxO)=@H#9*=FC>kOkr9(YH(Ai( zRrAo;@{0_GtwJ+Q?dS!_?a0XR;Fxl0MkhVRSBwquDeRfiSkE1biDF`=J=Cu9voN+! z)56F%^oi!ZP-LMu%T%a*L#(0r0-|Jk6dgVoMptLG(i2=})PF9%t{da|p`)<_6r=MM z+`;i`jKN`Qk;4A6?xj8nC($C#r)#7h&FNfhx!U-MTV%5>zAXM1-mO&1YE`(cbOJ-2 zsLeB;^oB&SsHW>-Bd$1Kzyn%q0S&cAxJp3+8D#yfrJUUzgBiCe_yGSHeSktA`NH;| zSuO$?F;W>}%si~dXdY*Zt6zWr7;VbFM`Vy9tVKd(6M->;m=Xk${ z(;0r|M|V?i!JE}!h7LKlKka}PK7j)npV4)u6p=mS#sQL&+m6s>J!02QIPnDYS@otq z<3WMiV6#li)qssF+aI+@LR>Vlrf{4i@2r(yLOa}sVUk+^^l8F?HP$a>mAG(1eYlZ* z-Jpj>x=f)$+@d*C%-NG;=|D{U(wcG{4RX0c91iA+Z1vLwCCz0pp8WF7!)L^P47(=@ z`Y8*-UK(dSGP$uncx7a+28S=&(%i)z(OczAm#vfXXn2SR1jDp%zjQBG&EwsLo~0=J zz@OIRB_#tfx1g!KU~&$ksCEpaLP_5ii-huhg>{WPY|0J+>R_IZh6WyE>59IFJz$df zQ8(hz=0jix$5Di#^9(at3?x;k1F+Jn9!m#ea-%uGIF_I;5ZxJ!gHY#4Y|dAf^BD$Z znbP)zj&6P0RJI4S9GA5uAKw&iDEhKYl-bi!2@; zZ$|j8SEM;xMpNrk;sLN#aR`7#5t9X)R+ijdJf(s5Z$P);w3PJc3^SOi**&`_IBnc;`otc~lwnI?uCfM9N}E z@Y=uv#L6`yyrDE%N$kOxGT#49iNaU-R0T|KCDCXy%He~f!=Gs6`# zm>0w@QbyarWT1$tH_Ue~FBRn`p(5?eV5UgY9w ze3ee4mp7No=y3`Mi0GFQ{iMiUC|ni9l@cN_7*Ff|ibGh*!jIYY3!kvA_tRddu*`GR zO@D%ZIj}aPpGLo=ki#c&I$!L6v|J`S6b{Da+@uNd(P`>u_n2Pokk*5`?63xG^K1iU z^wGX{d~b4`Z#nGu-T7Ioo2c8^E7XkgT&v-M`eg}L*vP11-;Q>T#`QQBH?@iC;hk++ zY5U-8*8{jk;7P$m^vB{%FS56Fbf`KK=Cw@6pEREBGiil?sy?wiXDW172@y!#4Dq!D zS(lhv5x^%h{R7HxcZ;c^6RVu#*^|Ej`8^iM^i)IW{bCQp;DUEpQ#ZR?pHx z4(8etLnF`O5TNDImN6{X)9kt?g;IKLOH_z*ou%L892}Q1d0D6RWBcu`Q+j>%Oux_^kM3jwmICo&e+2Csl4{BZQ z1PMeW2&NBymrS-T)$99h3$sf_Z5%ueUG(^OtR{;?rhAWXKP0=?m%nwxj(9#_&vPxc zsP6W>@uF_Etw|%(8oC}}Yy-!F;%0djuhUr5V8AkmcZGLcg*4^F+C_#74|y~AkpYZD zLbM5avag&}qRrRAi=o{>39H-267!lSt89X{)x`1mh;zlsK+|i6Zj*&<(s+POWd@tw zu0A2!^WT4@d~eEsulE91NU=wTgH+kG21$=iG9_Ob?;j3uxWM2T`@XC}A-xIO0ZaD$ z&GAcLlTED#3^ws}tvQ*YL|ojM?@a$o!9{6z3A_dEo`-vS4402S*EJwegnxUgUkkHK zBQ1yJWGK3jZ`>Y#SWA~-X9CFg=c?cZDa;+ts6tVOcn=#G7RK}7`sl#ypp(J2NWx*4;>1ARQyQSi5H-{9-hNuyB}%f3uUs-;JZWO;iOIjEzm;JLj!A!^ zXjY^Vs$5-=Zk-|*LRx7pa62Z8ghXha?a4?hevP+$JFw_7qJFuU>F|2Ki7pA`|Iuug zFyT0Jb3;L|@DSaQ(gg+~#$+zPl&>s?7ri1KH7xKGX1sqq#sq-Jc;0}|_)U`Mu)5tv zmTeYKSiqJ=aiDi$vL0GdLGw`cR(261XIL=m`uyg$1p#7iQk8BaC$2o5EG=7*6j5&YCxELt_f7`q&t_#B^o zLeDCmk9CI7I&1M;BQLS8O+8+LW7ncbq zT0WM9MjGSl`fe=?#F2+}N`!lx$CxIG>oEG@;)x6UgKsEWmQXZ0c9vuc_URGYnq$~y zE@O@b4)ln)jzTYr>u_VSOisj$V*;Liiqg`@XSrmbjaw$VsQp(D4sH6H}2CJLN zVW^jt3@T#eO$M-Iemj}Kihz!us3S)($R8xE7dmQ>kAAZ(3%1GC*!(*BS@f0R3jQ^2 zXr?Y{1_yp|1NzD)kmifzYm3(m46@cx*=3_ix!I+Yl1=YKL|x5NZrP5-N=8C+(T0mK zfWdQ0jVC#J+vzo%;+*sE?cbvSdVLUko-JpMA?ykc*7eisE%J?4u3~MK<^&JV9*u}^ z#Gst|%-UYfF&6rnFCM&p5Ph~mX*t8nal;R46^GHemIi0A_AA1!s<_+nW;?H#uTqCcMnDD=OPc?EEUu)7ZxBeNzsP4kz?yf`7(` z_~+5A7r1sfrEBW&eXyRo4Sy|m%MLA96l<{sQ^b3`wXXN4dQOXv4yvu&}}+n(x*d8+QOd>o?&vePp%lj9b$ST!UBO&5zBpGCPD4sHsiHZz}J; zDr8{2=d>9G>0+@I(g6NBM!Q8?5keuV6 zlkI6#&U#oHhHk1cXIBufC#8MCGp01!(y7ula8jC03W81Mv zu6K0EI?9l=tcru{M(uD&`a^EVJp;|8v=DV-W;q%1?rN1Auv6Cy*fZAA9{MC!agL|7 z{1ScuV;$94dLdS(%5jRy=6hOCCEl?!Eb|^Zf3}uPGa4V6))u_wS-xAjN4SACmy4u_ z+r_R0iF>B-pC262p9xHypYZo`eYS?8A6Jr`v z%g*r?PGWqilgZTlJ#KH)?{YDBYLq-{w`v9F{~P#kh3%TsM4HlAO%G=Dcm4$@+jMx) z+PW92xI48^Kkc*-S+Q?z~gwdNWmZ-<~!p=Gfvme#V`OXK(Thq18Thm*sQg zQt%hOK2%*l031s$k}wzRmoVs zrd8|Qf~*5R*V{sBXA162Z&$$hFN?6h0k5=|FkWVp%U}t7<<1m)ZM1&3f9;RqyFVBX zk6qn(cE35<9(a@Tb=cBg+UXl1J$ne!tiO9cCKTluRXTP0`N>(-9}Nda3J`x`R~VfY zM#G3?d$pOWsIf%pU=80-%wN|kEeH{eS$G2W8lHCP+363`GfX0Kdj`MUU(e3E^z7^h z>DlOjv{6mR;0LQ?$M4mz^Dg~5|3Uh7I`ZEb{Bmz^Y&7i9v(fN}>Dh7AKX*EIYnc`p|fU;?$|4xdvX)eG{9B{uB9GzDfM{QQjgn8g$c7x3b>U_mXzYn2&P7J35Clsg5ekZrFy0Yq(rpa zI*KH2>6xV)QCPavl6JOiRk<*AbqrnY%I5ZY#E$6Fc^^ zRZyc7h4$%9vl=*pkn`w@}Zde?)H@V*8KNs*XFx;;R2RX2qBw$rd`Q%NPM9PQa;4aG; zyCY!Dyo%t+_b_4_s`A~tC3<+_RAEJJp%*m+LNH27-)3ro{%reDvP_Ew61?@7V?u0x z$%svz(}dSHd4>x{x@6ps&~7cqN;%5iEBLe0TSYX<7cSP83nip&ma71QW>dm3!m};n zKey4rF$~x|Pv8p`&ZB`|XtwcXVyH8uRLm=j5up-cmM?UA!5xCKVkm82N<-ZdVdz8T zVcj&cXqKvNI~v|++m43!*|y_*9k=867`IjYR+Xht!7t*s=?a#wc!?g6X;P89r#3as zWCjG^PJgTF@TdTCI^_Ff;&Xxcjyik{P4gO@iuni|knC1czbvL?F5yk1)Mt8{~ePm((Ky73PpG1-xW`7WBPP&e&X z%{eA(EAX(IevS30n|7<`NOkA-pK)-|-4p_?9QebXD5yg^fzJrq&zU}UD!yx*gDI%^ zwmj^fU+_Ex24TFRfMKFe|a&oawkD3TMP6|9DFU_`MRp~%)j9XqB2 z`!c3GO5ldmo4MKF!7EPa7^c{4D*U**Mx9#356KLv$c9y7S{;Ke%0`;32GuQ>ui1L3 zCMHO!H#O@$_BB-*RTHJUB{f~nt2JHUwI<93LkLkp<#I3twWIxf9Qsi&oakfNQ_{Va zR1tK^jn0qHwM4B!79zQgMwyv&5|yrf0fr6L;X>6-U<3^(Tzl0|kV18y!LbzqVOgrO zL69j6{u|X3iRal&r+Hfw(+}+-+FxbssvKS`#D(?jLp7R(c>hQC`l4s6uWqk^&{;l~ z1Ywp-fd8X;BdJCf$h>fbZh|>3E+{?LdB?CIay@lvHzviwEdtD%aa@QJkdP#;EdDu! zCM8=}2FNL)MN~r6D5kJa#hgkgyl7+8e~o@ZB*s`cC9)efHA^Z9mpQ!Mh6p2p2ir|d zdDS5;8fyKCN&wGTy;@P z?MG*>NV6LGs!sDgjXEc|^2vbm?A;10m+z_O+kfLjTQ1r|0@g@IHwr^H^Axl5NJvHO z4XjR|1nt9Ubh0}=lG$_{$cWYU{se}oXk;HB(;ZgW*(Lr9g`c@lFCg!Yn(9#3GQCc^ zQFW@1&vM9sQ!6QD-BR%>aHFl<&qj(Qy1Q3ZR-SE>yf%B(KS#Lv_qSjDR>O>RS$dgQ zdxwb`BI&9>q-_{*^`Oc8~`5S9LR@ywYS2|NPB$P}y z$oz9pJ62DmXdF~*r)sgNq<3ts1DVn7rNkSj$?CpPYby%tt?h;KvB|2?Z*}o?%~scg zV(hi!Ecb-k>bYyASujoCX z!-W;%Z~w_3u}U1le=VH5Pl&)`8*Tb*Es7nYprXoZqce52YiK#iP-EKC$)UtdI+%&h zj}jat)-eS;S1(=#unQ~e$jaoDFbbdCGb>LwF1Oh#gY5*LjF;n#*gfJL%Kkno;(CD_ zo3lKujHsJd%`Ro{K~6O4j9gQ}M%9ER95up%HriFdVXFYJ(UKeFM|DfE9|U|uH@Gc~ z!?9l1aI_Phmq>hG)68gla54#s<8VM{rgVkM!uUj`jW*kr*h}`fy1_O}qR3Um;nwSn zb0ibV)97k+P}o7;UyTmrar`>|?uX{<_^4jQklAIsNq_Bg%8@NV->h6%r+|1Tm3ggq z_;N?BLz1{so*{7?AqfhX_L!(pEFD8lE5dhqg<0~3m>!;|I-Zcj06Q6dKPPBjrwTdG|YH>h{iK8~f#Fs`b5mR9UdWjW|Ss@c{*HQf6 znH-)M0s2ZTiX7+r_k|Ix;UuZ7c&t$733|bM6iqM3ULZsaLp-L;w8eBy?&-lPitfa_EXnl;XUk|cLg3;_ ztNhnep^2|~8<*y?R2dk|n{un%3ha7N;yLeU{w4 zd?{VxUsba0>&$L^L8TL)I2&P(GD(YUeVk4W_Q!KTSt?fe@8SFvJSCgw|F`$U*T)OE1LO8=8O5Gxn?mACFvY zg2@DUyNP`3N{|ao`_wc`T+MPZPvB&&B7-6*Nq4 z@YeEPYEci<4bjgC*~$MvTpdLT#y5lyx*QwIhm#|?75=y!^QOH#XlsJpP|G1VkENOy zPlU3o7`p>T|4@ZKL&4hp*YNV9Cnd2cuMzO1LO^P4)gfw?tTL9O+U7`2lQ*w4}JFAEN+-=j(_GeL*P4cSaD+~2|BfqBkOpb zjpy-!KDgyct#43QE!8mXO`d3et!1glqpfUxM_S9>w{~&T%!He z!RYjT5>DIrYgLV^a$y?c%TUjD_z-#W_b;zG@`Op6tCV!@Y%8fd^`%W?ci~ckI!z=l z(2Ptfc%A@gZ&M~1I=er(7 z-@%80gprs4rD8zps5(xP$>KW8P&IkIzCl+NvS$`7Yo~My^?2wbx_h0d+0=QOyfH2B zl?TY8!8RTsb8N>o5p|xDbFf`tQ^L>YGL@(jWrHGP(GtD?blWgm#_;Jdf!hDIvw&!e zoAP}mL_Gk4!}rO+ty6>_oS*L;qH_pFJJCYuSc;B`D9Du24IOmT4Sfs;$)G zHgPTU6S%fNQCC#A)YVH{a?qbw15e@b+m^Tt<)avfkME%u#X4N_FZ;!po86PE-xi6?|5172A3A z1ldOkpDg^lQX3I@B}t2(0g}e&S-FXX_sjaYsa17gfm;4UR~70xR8_<``;W)4MuO!| zVsuBW0BQNO`G|$ZfvrlXZgeGN{C}9qj6Fc)6i!mnDlI~>Yc=f^!Gf@vRV9RjB1Ui? z<^@QP2CX*#wPF^ZhXSrlDeta2M7H9d{#(d!xRiD_9E9(hQ8!5Pf#PCDDISmS%~-M< zPV-5p;w+@^R@8e8f4&J$Q>*qAPN#wv;rHgaOZiP%8R#`_p*Eny7A#-=;Rm0nHYYqK zoq<^?=WcBimHV$GhUms-I&G|bqP3Y79&RXTE){gGy#ATps=xjFA9Uc)6~~5Q1d$o@ z^4W7Hj%bDC9~_}F9abZY(rj4^c+>f7&lF-u=rU<5T*a4a5Ijm>1Jz8{n9T)-)q0W@ z-FQNrE?PlZYxkwjX+&y^4AYrw|29RSec!BO`3~@CBqYfk$^ezd5|Jd|GNZk!(>oM@0c^2mSA)G_6QaV7#3Y?T%42iI?!Wr-?g|#w*QyiQr(`gKUtFZLn z{)+^Du}QTnS%6cat=!^fsloI**N1~L9fv>@)V5hqQ&$ydsL7ZN%D-meTA{l zvO7s7CcvClB#ebv`DLY8jQ?0=HkE;&S4}B&scSj#xo*S7;FYeWh@m(WU`;*2kv&v4 zEqE(rPD+bWK1<|R>{?(7Pm<~V)ic!z@H9AyMh=<_uvj=f#BZwb+cRjDmK7Nz7vJrs z%vX@!Dgax!DJ#w*93UMwqvuFLbR98P(1BKK>eJVsMQ10&k%rA09m=qb)=Pfhc-LX@;zr z!ZQ8o2F^6YYFd=Wf*z$k?NVa*k&$n8$n9Y^Q69M?-UYDtNc>_~$7cU^j>UeJ2qp*pmxt5i2M2y)OB@d>s zW!Q!Tx}C#h^A{Oxit#ifm7f%$p>QfGG(){`J%pdN{C@b*UR|c6vJ-YxNXA)@N-1-d z+@#c!Ls(ydw|7h<{Vt)C7yNJrjXJ9rOK!mE1|*Z~0l5unq<%txvx<|cYxhH7uhVvpW)NWQxZpKKA%Pr;`s(9+PqLv25p$)Lc!-s+8{91!Sl7F z-%&bKw5$-nMt$X;)`Iy(WYdT4MPKP(q%Ju;p?981v5mjnzUN_{p?cvXGEm>_ax(k0B>?xfQW&wgaB!h*3eUoHk^jl;px|&B1 zBORQNMfi{{IXstyLnVGw>oW{x!Mgpw8T0AOxv2R?AXCn7mACXFoh;HhrbB;rxr`Ut zD&C78=jpp_9n%bg1KHG*S%x+)Q}nANSjmW|==>@TpHR2mxchj+`sBUFR;ydr zOoXLJSoR*3-u_O-1BwLE=Cp5gVf#^@qR z!}~L|uHg`!vk&SJy>fS8?6?oA4lB`A+V72K4Sx%zN3r34`;Y&~H?PcETS=nVYev4w z#LGtc>X^bUx#^P_#ywt2`jSOTB&U+Fm1WAK-Gex(1I5WkfpGG%lj8hzfS-u=_*wON zUs3NuC_iYXd`+H#Z@E}TSjy4hH`iLX!d;t7QXap-);jg=+E~^H`AyCQr^20@d;5nU z)X`^FK8r5gnXpQ)@5YTV4XOlWb<9g8xDZ(6&QGMgpLmov#>#T8K(#r9UDI@Zm4 z{>*W*y-p-&fqT(YY!e2w$w1> zxDF<~GDB-e1J`gmB3~nNvJGPETD8G}(D(d9H4s{f&A~f_eEZ755z1Mxx34_Ao_6p| zx|m9?rW@}^Wp27aSWEMP_18z|#}pH}{VP?;p?aYq3q@4BUaP7O^%973ZB$xSjmRK^ z7{O#GWa~h^X-+G6X*3e-l1BBJdIdD6PpIb5A(}|a)~T2Rdv;A8DP1MiBsEem$tOrP9*mp;z$n1TNVFgGy?N=k`tn7&qp}5Pw@NG?>1g29{~4H{HQI& zQ-Ob1B8?pt8ezxCXxmbZSs1aeVMe4&3jbY;bX21p=h+fA-%un7dqBAchD66REu|IO zaX|Zs=QF@~+o3~buiB^{oJJ$PG88QYj%$evpEBTTYcpNWd0CwLmQM56v`vyjiy{XXJl z<=c>2?N3AFVA_tT{Kd6@f7Lo#MpM4YO>K57UehzMVFbCZ`V5_agw<38m}h%x;^-n? z$5SLyFu1*{Y@|+Y5FStCP5!--^Tx)>q-TpJlE2(u5YXvRBb2B!Y1S}5(=2+COsS>| zF)+~F{E`4dMp)VH1mh2PX*VY4=G=6hrNe3n6|!QYO-JJqOurT3OIdU;-br zRf)cBtW9`YJLQCrgTSun3 z%Fnx*aOf#2ux^VUY?@AE9m_#CjfV1F)lm!86XGMiY`zWVsAp-l0r zz@!j56Xe-Co#=`eX}-mxDHN^hPu|8T*)%0%KvE51qssC~rGi^3?ZOWtU1h%N(4?n* zSTR?)++?bK1$1y5ZLb7dXNjy58?*&(y1LRSY}-V1t`Xmu7T9`dnJ369)oP#vo)j@H zKs({wgp5; zw}gxiYmJpe0|MCAsPV#J%u6d&s{XB`B^hEK+MFvm6M{iY_{`9nBzuZ((g}n9>B@GB zXJ)oJURAuHiZpR$>E&Leyq3)w+@yi*0FXYaUUF)rHvF6vqRc^NojLczsagcng-}s* z{5WYLl7EpI!ffSZq<4oD^4r4j0|m5{m6}mL#glQlW{G%{tTgeke3jsdZ`|mb?HSWa z3YHQ)jRhVms4Z&Fr)U=dN|uhw!}PFc1T`&6lm{w!5X7;AQ8Ma1ePfh|i5En61us-Q zR#XrE;JN$o=xr}A#+z)>fT81xR9;mIiZ$@T721+on8?wj!M)d~yI_J%F72cy$>oR% zuZ@eAByi9d<@C!-?pqR9jcWeKBNI9Mn6h_Ad;WH*#C7n~-==d)+EH%56z$N7JCM{? zs0U8ji(2jrrUa{J|CgU82q`l&bOFcUq&wUHcf@laT8;QhB{BjB3*Bp~%B0&y5An$0 zbhP5Df*X3(lz1vhgi6{Vtxy8df3BxDXfx0b@ZbMP({Ut~gzrtZ6bn(bEyfA6$f(3J z1-bG3d~-a)uaOc44umv{NO6-)axi*0ib)tPj3 zS^-m$GEh-w9&cKeWL@+c zn*6DC|AoH)kD~Fn|E`_(_>2?tWaCqtT~+kdTByBjNYCH*WmsvbE}O!NSdr(?%dRMV z(D*6)c7G9_()}1@(JDl{rc2f!K0^tVoQsI|ykwRz*TY6krj|^~EhbG~t`mGC-&t?%0jHA9%EV68?=&5vc>+`xq%QojuIO!4U(dL8q zrrFhyCv#!kBJZTd8;gF01ScmPF~-Sc4?luX4^vAVej;^SQ06gP2fXt|ZGKi9Ykwr0)8oR)Z)(V`Q*2pF; zz7sq{O~o&`*w<8SN9>Z2(LLRZFz>A=95^^L@26elMvU*;nA^Y298xLL{>IU4Sw+2X z5$Q~%Ns42`bH>CDQN)*0l*eBY*aMV>S~wAhn#|mgj>%0@eH4F;`gEd1*Ns+r^inZJ zKil^s(8^!i96L8R&>qUYuYH*FgZpp*88nn(XW9n*(hS1L^11|Ezr@@Bm@^tEO13+j zVC?f8Zf`cYf-P@ML_?;)G9j)%y@Pm%38nvsJ5D^Ern1lRQ-w=X7_AoXu%S=tNeXwT zCsex5VCAEPos(-yPR*@+baF_w*#)6E>@u%JBxDU^!|a_E+UX10rD%odSwMhfT;?!- zS7{Dke5zvANxq55H}=tNhG(2B<~F2HOIQ;HDrD#sYx*qgiC-#K)R>{|&n_XD_TpM(z=dXf}cAvYxRrhVm`qfINeVm{agzwSx6mae(7LQ?em&?=F|} zGs%cfN^HEeU`7i-vqJJCaU15a*LvtzK|1|hU#JXVMI|-mGlwWrG>F&fk82V zvF?LX12WS;|3f_}jw8xr7MrH!%Gt>3Qpz>j-)%GCc=34t$ zlfMc+{_Jy9m*N}0wFr1W`+Q%~3y;fmISm8)u}Hei{vZxUDP(_zM)zZ(dwY5VWuy}@ z%zm$gQ_oG$`p7XnWyVUvOfIV|kCcU@UIqYMGl1eRR2|2qG`v+}*D_&>vedkx` z+H$eDJY-eu0?rMQYM}j(DOhy#x;RubFXUoJY zI6?B?akC=JCWfgl;n8 zrg)q7JR#zj8J?W@h(>%CV#0APW*86eqhV~~2!u647^#(}VJh<8;Ai)F&JGF> zb(b-6Pt-5NDGr^E(t)gos@RXt6pEMCQ*td0yBrmmSVu#732v~8DFJJY>m_^s6~C$B zQdNl$2S-FCtg<)*UY8vS(;J*FhS=Rc!N{@2nnS1TXZqKg5oO)cV`UL3Y}MyA`IL?` z!c#&=Z}MBRb<$$n;yU7_C>V>iiH%AKi%y&wqP1-W>jEYbiZx=6K0PN^4(zi9#wK)G zU+PlSHCi=!e4(uFW#d%AHKwJpa@#)14Bx4Obj3iHKp*&$DwXAV)MM<8q_t>=%96LW zmGLEA**3dNRkwdtWh35H?JO_{bBZn~Qb+lEEt5U~N;ZC*%a9iBHI-PnpiV{n>1HgK z^}4gfy5lmK1Ss#h>H<3UDX=LsUUs*zyS8qgx0b=*;i5B1_%vB zv&bmZkz)EuE4^E*p{_*t%tU^BL_Vovr_J0h>|qrmTpR4?RHF3@bZlC-5~2wC1kEyh z=5uExiUuplqY(Q@=kQ1%&3_XBPe8E0wiW6c?v%wK?e8JDUyFItSAd%@0htP1GOpKE zDsdei)3x62owj?%lG78dimbmOE2G>cj+#iOF!q69^q3BlFy)3>B#DD6xT!%TqKi{ zRslBkn-L^v)WPIEKh|d@9=A`!d1B(r-%{Kz*BqcOOlYLgK36(b#$L0ejHxCmt)e<( zi8-R-QNr|o+tQ0PEiRY%4T4Fm86yk39}YK?g)H?D^mXi!^pTbud&=_$ObrYsoAtPMoo=a1#`q`TJDiec8TM%%#ar6yF`&DP)}0s|Lxx*AMTh)X*HVP z29nm0q| z41da%2a0m6Zdd8HqX#2)p^*Wut{#r|?3-nQS%c+kr<-DkBww+%h=!EgyG`ej6nUYQ zgLVZxSO zHE^-p4Y+Ms`giI_rIH#vvd+|`116$-X!^1(ix!g=zv+fgwjtHe+Tql9d^@-654%#| z?6q^>969N>ivQ-Qj{hc@1=6RIz%p! zn`_tqI{F!rKK@C=35oOKE6(w;9;BcDq*kh;CTO(VAu5BOKry4kbFC+=_;V;ebq5X| z)SD<0=Fe&2-R{>i>u5$DEn~WWtO$^ftGqin<1QNsiY;az*D?7tda+s&0LEg4i_19* zVxJq)ho@=?Nz)7;QA3J6nET>J=CECCrL8fSB^56ZSUx^|)~l+3_*1uuCaD6b5}93Z z=2-ztfBXz=dlzKmFd5Vb0L+wO3|-<6Ck6N z_Kk0>Og2HUPhktz)I7+dkmUR2rY^&m3sOENe11RTv;up};6&hkPPX98(zXx#_Ag6x z!atZ29LLKDUygAE1vU1&Q4x!V(om;2_%)B(!AWzYqdh;DdquA zFwc<4J~oJeS(|sx3#x{TsmtmK33E~g_BLA+t(u$qBqLz$#E(9-eJG*$K^$~;m@WTs z7(K!C-C_}a1bZc{hD>zqcCwRS_oYr>NN*Vuc}CmvOzr30NQl0?yFWfhDqRNa?N;m};VRkshf1E0CE0~FNh#U=v!{~Aq6*v#! z1c0lM&Xx39M9*mUNgl@YO$xy5HsYq591S`wsC(s zlx2MKsg-#VLGICLXT4`{v9J%+B=Uw`I=WcI7YyVKrldppS$?hN>E}N zqu9BdkEKbYU=eY_hy83j=(##Z(ZeVp_-xagdBR5gk~H^WU;u*jR{>!_N9?;Ip0e-d zz8xS9`G}IgZ(n{`FPPF2Z?g$~SU`!{dHr~eqU+MC91o&jDJKA*FxF<(w-{qa7{5K` zrLkub|LzvavllrHe?x65#d9?gyjSRa3nuqEj{1|uTD|Q5|HlM78=W;#!$V%BZdQmx z480}IO;#n=*W3~Goi@FhoVOlm`Zk&qtiei^t7YQS(-^wgvVM%R2?(q=#a9A zpM$t}rXhg{g=}%?V5@y$jU_DShFOBK>@?}nB}cu-=2YY&VZN+1PmvjO$ujLYa<};h zcM!Groho=SIOXUm3YVns%trABi@1wOy;^dO!n!VVjBbONV4Q@_!?k@^QF?LL)Tq+$ zBK+Pa?*7mHqfAr=*6q~Vq$_C!gm2Ne1-I(O63qCcv!LsNVj4sb0Jp`n8HyBNB{yhk z9i0sxM9(SdNkJ{OZGEx9a*qquS+|9%t&P=%>RwxU)b`24U>2KrO~K-p4}bsltH&?xhMwQ! z6m1*M>*71)yK4EGzQj|?>usJS+vt}Rgj?zcm9|(bFO%!&D}>Ixp$Dwip8W>b0{xXiy}Ny7_`p5RgOiSvb~L=( zq#fPi3ybs6khblwWwDuHLr2XG{o?hj3%h-z-{9Jc-V(~@)LN!0?ku_E1x++c2jJLwnF+3E zaz_WFxUhl>*7aB()gg_eb(sb$oB@81EQM%MrEbO%BLUMvKqA^!D0FE3>r@I=UPecm zLiFxj(%y{T!TXYfZli;8J)CbcXv8*)o}mBWm+?)}Yf>~UH|)8A>UNNgZo#6XP~?bm z3~&GJPD1FOOpM4m{XsVSgX<)@+>^;qpdwe?sX!MyNh%#;g5&AVp7Rc3HAMn1l9mXL zCm5dOMn?ko(VFtti)6bHsc!nFt}`JCDz;W^Yh5qT?s}=JpCTp@G;0l4-`NNQfTQ6_ zZ_uPZ9{d`-+AEVrS0DhO}_67YLtCwt-zO`tmo*Aw#elTByoEK z-^&tnXrSO}bH3gVDh{4*gC7pT@ZLk16WcUr?AYglPax_Cr!~rA6py?Qg6ukuWK+|o5lMDJc5&R!A(L7TTUBk@{@sFTN< zzf!p8q~ZCK4$q%9Jb&8Z`Ll-S&pJGR-thc+`}2IH2|qs?Ha>s*w-_LAfq-5sRL_Dr zofUvagAIdVpZps6N?A$zn(}3kw(A#!lZ9;sKB*3(4?yRcVsU5{GQ>5ee3MZka~74+jh&C{f+ za0u-^#yPdWsha75%F%!sGBhVlvdyz}i?qBGIB#l-oYDFD8EJH%pVx{`I+U(5320IF zKzu4mNJY!7#S^R9r%D)U08{%9LGFgq6P~nA@fl;${S(thAeqEBFZ=k~`!*719 zvAa}eu+!2nI5Ayk)g+J*;KGHDHxww~acZ^(r#E3(UJ&b-IwLYmT9It`$2a@%KRI4{ zrY^mI1+O5P47gRFG&zym*v#aSXf%~!=nnTsqrK>09~SMC{i7&9Py-2{%*>jvD%VU2 zmC9vK-LqvnoB>tUz>y)#aw_`vuMp_3Yf^s!J{u2=|DOpih`m-RGUY9*8Ur7GkLr;ty%kYK%TbyLih^^8t$8p;47lmI7bG2pKlpPQANr2|vo zJYZO5$Pt@PUJA-e|EwBg699EQ`2D z;+)IvJNyeQfBTDU15JrOF|-@3?zBuV6LW`Pl4;xs%+4*O*0a4yDLk%-5Fr>P$<@kB zEeoTUu`y}5eiETk0)nlLi!tWQ3|_%vNygVc&JtLR(R5Of7^Dtkn)Wbhqhne48Ahb8 zu9E?%pMpoKW3H~79`?{LZ;;b6zjRz!MU4-OUv00j$0x`h;^B4$jqMW@#$ zLqkdD9p+HBzau)kOz0H6OlEwp=?&VXNi_|fYnQe9g%(T4J`Va=aENC)ywU|Ku90(D zzX{6(w6jL+EQ;tMiYs9v#6y^)<+xb|zQy>iW>ol;9YPY~gj8z$`>3r0Q#BgrB|16# z*OSGPy!^Mn{!kHhSSc8;UV#Rn!J?92awzeG8-8wL`H-4UEzyxewf<7Q(t2=qj&9<^2j@eS`t433ejQ&WEDfcV zp7bxKo%owJcer&GI*TTP%H9fAWIhuQZ0GW-6A!BQCdhbKg)C+qV#E-oxlv_5U^KIT zJ>V0{+jLc~&^XAhW1=Z#{&A-9=6lslzNGh?|!-&JGR=NJutx&hFW77bg~D12jC3*(u8S-~X4pcZrcCOV@;^D(?(;0SjJYHiL|- z+wJbE@W^nFM@D2%HBL{;?mUy}58IOY_Q;nf^9f`IK}NIhe352}n{iJmS_Nl3;ag+vdbXUm&XlI8 zj>IyD7Y+F`=?dwPtktYpwZMo&{&4d~u&d!Ew14v=o7sQb-oPvV(0yWX*x(vNo5@dW z){V-GPK42rrGT5*e~q4Qdk|uBSE%*(wlM&z>7Z}uZakJ*M(2ElLCuJdKI-A|1eVP zNBt@1jvXHCfm@z}@P9;+&y@|$_{qpn`Eyl+T7;rcS2ekAI=1#{$mX-5G%1LnU-C08 zwF#B=OhB*a$JkGm<(J)fNnw?>C@rSj6q$;=r4bvUS4G*5H5k{@1a~;2DgJ{r&w3^~ z56F@(fEx-${MHTSfHx9XS$j7v_mx1JEtwi`cIKLrwG-BV+6x|@tJTg45aPFT04~XN zu_D(nFIaB2!xD~%$x3a4n|N+kAuR^r$d_#7K>!;@H=6d{{sf&OU#y@Nv&YdvAo;S$ zuPyhoHJjf_ybIPlqs+`SUu{sRPQp@LR!CUNpQ=xvMlWB!B+)23l29z0{59!{lB(5{ z!p=TG%o{|tdp5#aX8FeIj%x-qU(8&#j)#hk$K!(GH7~yT^x|!jTt>g3#3Ly1YtSzM zDeV=P_G@^hB+HU=30pVr75HvQ)blQH_RJLeS{M2X3;i{`;4+?0Rcllm zv)Q}6(@Rm#ui-V+N(%<#jo`<)!%O@eO8E>*`8B+PlYMJ)=y!h)5&6-^Y5A*uo!d<< zq&7Cx6KG-}4{Zp^3O07M6GRq-oseax%`a5XIe~XlD1B(7RJ{9C!h`LY@T#bqWh5M$ zw+o@a!7VhGR0ehE?~bVNa=KWiGu6F-AUV4e>if=U?;1Xf#?F>l6@HH$uWE!i7jbe>4xv_?Pih$q>c~yhdv`>!Wkky6;s$+2W zUN6!to+a6Ok;c*U>_(YwJsxkv=u=`hJx z%G|c~eklG;ECb9sU>Oj|yRbwbGOW_9Z_A$p1_db(6VsTHn+8wxEeSHTKVp;B$5z9cg*gS*td z>%xao{gT4k1AfqBdH`@`MzRh(;lh!kiUisBN~uj+@VIS(;zhl8dM8bF-?!waYt?Da zJqgN9bWokskobPrDc%6`w#dkfK&+0&>wNnWc(o^eXveI>|RASve#g3T< zxZ=qSlK|$VKEuR!2s7)WE^8TIlEJZ5ua;RlHKK+@43thErAkCmn|vLO4kMZ4M6pZl zE$1fieb|yRnZvyAp34;VHKKR9d|a0MB?oQGMVz0jPl`O?Ge(hTug9Dx9Gux&6H;N zUwQu>^VTpgLg*TTGzIE`#09|0OBVaVDL-PBjI>-hTmY&ljQ@@F>8O&MYA673;nWF! z(T{n9p*(pU_-YDXSRBPnO+fWGP9(4`8Mm}#{3~n8VM|L6e`PH>YH7*Q_ui7*KYUOX zLkmKgcwhz>Cf8*2LeTUSS%zZ&YQqoe_$o|rh=C!Py<&R1q1xcl27eGUiFT%XGk&1q zSfzV#!7oON52@s>Zz~DH)?QIgBpbX1Q`9|eE9oM780iF2TbPJvmv-}QDl39c@9ENd zF3i#@M9G5rO<+;3ybI!(IB!UOWBXnsbwEBC9UcyL=`4K~c9N>r&cV3x-Fiq^D@_6z z@5nPb1@K=5`AZr?PQH&}fE5hpJ|;+WlJqk{DmQSL|w>y~m?O4xv>_nv5B`%L}LGJKv^U(I{;sTEHSBctdXM|3F zO|ao-pS>OkoMuCRSx9j7Qh;6AOF$x<63HVq)`10G9skqsl+mv4JA{8DFSqJ#9p4AE zq3*}$$qek+=saI8w<}X1{F9N){paWB1A-`8>=3dI8|Z{b_l>ze(?k4IJF_pQQ89169v@7Fd8&jOsj8uD%>XbMF z#+)LbPV-)4ek%6{XpwE)BvsxX$T4iutMLt{Ygy7?SpI7eG?oQ6}vUE`5)nq#nOi@S0cxqp$305wXs0=Sydv@J7 zDM&aRpCOULH8BXv#95id-w1KtkoJ5%Omr$lSfBsA*G?6yj-l{+x63 zD66j_6z+4#2@jVq0xj~(E^P9ee5Z3rj|cC@b1f$Hg7vZCEqx!8@WH5;!kDcZ(D95j zBGZxvk?-SyXl;bG_P-ohAxaMV>en)m6w^hemyG!Q?um#l+LTTaCfR^AZ&(W%_FfpH zju~-tAs2bH(}wDbjYt``rU{)>8kP#Ir-H5R#qC=O`pfpOUN$n&B*qO zo+kRIXVBTb1&cF%9A_6nVWwAi6lIc&2&{*I15$6XDe^TK-(@T^bGXboV*X`xA4rE; z1-EepbLYmO!Sttn16yO3&f{J3^uU7JV|%1Tna#S~J+x0g2%Podx;QrbZ=@d`);x;P zfcj_I8T5gBvJV0U>YpA4pY|jEm2a`ss?c?5=o&+#xv%O_G|^{x+gr>tI|n_}9h229 z%-q!Hc$AEmUOv5qlL3qw_%E~;)?zU09DNqE?O5?bW8Jv~Qhl|&4w^}(0vQ)%F;dQj zpd~fRT4$#aV~L)qr5mm0!per@4i4pOWw=_7Jor?FpahVC1+Ks! zFI^R#9*^Y)z#k7O6~9IZ3vVIudblUm1c@N+EVPYZBBpJ@wNhdY@oW0n9U zV0S#_ z==EoV0UedDfPlqfn#)e$UFH`Xtcb&3sQT*A-O{;PrtQ%rnF3oz zVtE_1mc2gs_YBh~zj0656%IL!7zcD}u)4EqJpJD|o(x*NHp-{BtawAva$~To>9>f? zshRuNlovV9nJOqV$QgF|1qD7h+4|$Pa z2O?Guj9;QL*lXGeRzvqftk`uwdr^k7h;ld1jtP_hzr0tCsLPB{Jq46KhTGxvW}4+I zt8-bQSHVhM))!!h1&H`rPvWgNGc|caA#hU{SPR=?!WL0ASQc%jZAEZ%!;hD>&zH#+ ze%qE};0Ui?w1m}Gb+d1ZEMbR*2S78q(t|bl00)^qOXAHU*usk#d@Udys8&d`?KHLb z_J4k_DWGA-57@lJmoJCP2o|wc37oTOzLkf^N0j8NN8QICKYsbrE{UNP#V(b>4Vwu@ zcvY#<6};(GKsP_Rw{+JN(R-_$O}^GCFWSF8$<<`Ms>p$`1TJ$;OUd`DUTt5mMB!ye zgUW8l4n@69PO(;Uxl zWWbl2S@IM7o9heFPpH;z%_ESB&&x4UA%9G4#X3#|&%~1)73X7Rm0TrRZRD8Z)Jx+X z0Z~Yd0#eC8=g=muL9s-;+nRLlO+1@rU_h-_47N@;6gFo$8tkJ^?U?47Zoo71t~#_! z)!Lnpym!0ReEX*!`20}uRGmDR%G$!^9EFecbOi#da=OS>TWf4+TK&B|B3d-C zxM2j$00Pk6%#$Z;oW$j2LgoRVQ4Q8WnV#UBzDi6~44w$CIHEx9u~jxX2$ZKwqlgTh zYxe)T#Jw24hC03_GdR^E86QQzK%kVX=&zFNxVYSlR^JSSdAP~1&5k=~a!1wS*5nZ3 z8FXy%6dP1%tC@z+(D`kP1sn-hnvzqvuvuGrGbH>kxH2G1L(MYcJg@OzYajfg0Kb2a ze5x?wR+E?ve7dtlpC}9k?Gkgv zD7DCIa}+y>xCdgxoS*2c%!@8=pe%E=*gk_P4ta>yzW&g^S)?J73E!H0Iy6%6Uec_S zkT`rX{Pgn|YU#NBKXBcu;vLlGG~+}$d?3jy3CB2v_@nwK zfdi4XskIs2?G4Vlz5#0)-np?P1o2Ld1-*z)jU64I?cCa5j%`y%@7~l=*M1%C+|tqU zscq``-J3e@*wh2cu-~<{1uoV94jQ=*acnJ{Y#br{Oq~gU!xqZ^8A4^zNLAY_tY{w= z+f{k3_J;0(Ck{9fQjmjCnhXyegA+umT&uGovToQ+kK=aBUnHODu%r!cWVmBlw3Y+qbhKe``%QT0PC z*$@7F3BQS`&!f`=xN>{|0=IiU>;fx>{{2c{p=!`r1JjxgWX|c%p2|F*r|u2GFkOdU zF-a6KKPha$ppi%9a7BdB!Z2XBo7vjd(*f|-xZcOCViOX~F}-&V;yCAM5khzx{`IsX zm9sm?v^Qq`W;XFatFts>a|X4pUY~Yl2Y%;ldwH2h{c<_X(sUk^Y57;*Z*{x`knWJs zD`X5QJnlUZt#&oN6(O_@b!}$u+%K)it>$uD=Vod_O7Xb%~ zK`0x1WUE=)FKflb96WM`b%X*T$Yif&44^!53|qvD??8@VJB!t-dkI{i@d{a?>LHSr zRR(~LMxr%{bZlegsQUH8%pCQUGt$8ESak6`F2Ib`!39NX0xYt+$TgGRzE+DiEG`5| zg8})VHNO*n3nqECk;}AYeO9%c0z>+hGQY9vF@RW34|dh!+(~4%CVAAN$onFHbkE5i z9aNxwQeIQP&D&^vG8`Y;w6++J6&NlZpLkFZ2=b{7Y@FeRINqzGb$HjxQC4= zoHUwRytiJ@dYXb_1MQi0bX7|%u4(v;^GiaHLKD%q63`ANsb+o{NmCx;=(-o}Und0c z7jWW(WR)vy;xnDX9nHdzpbVn58b8-EeA-p1o<;^@mDx0#`z}lwa1_1-$`eEj7^RV2 z8bj3Z>`{bwyAjh@!7a$z|KEM5xeAk*GF71VO3%P<0IOKO<{JWpg$};7X8J6Xg*x*` z`Q=u1&3HVhqm>Jg9}-W6_gRmDLvD<^;kS>8A}~oZ5X+ifWVIk->;u$AsH1=Th)a2@ zL5E&)M(f1YS@jNMDUy=;c;Pmycyc2M2W)=u4H??1YghSds1Zg4O&WLrujUGfb+M+g zK0>+Gh6ld3nzD#Kt-n#H#=$OSO4hO(6trdxGw1LMLZXcr?6<4V7TPm>wE_`nu4;X? z%6f^dPvkndJD(dd3g}hsCLXq~#^9@=P$QA$)>CiB-Np0bX|wD5SNeQcktDC(Po(x^ zVRo1BeiBWR3pi7uBgqJ{efXsI?QZ|Wir};4)zX{^j^9ViWOC{j@GrE82h`Xv2Eta4 zO3A`YkTe@G23Si75Trm1Pn#OD5NCGl@|qJN!YhM*7Oge2hVo5uVcerlialPIm+NiOPBG6~dXua-+UbHR zUI+ClUSBY;ht7CyPw?Wk!Pt^ivF?wO_p<1#ISEQat#?^bfF|go3R(M|^VQ z@5xZ)xi{l9oS8{^honmQA@hHLCt6)WiP{}>_MyZN3WMF)@ge=(FkydQJ;~{O79UIFX`)udhkdq4-Uu_@-<4lW)_QxYL4?Z|bF*bRMUd>^=Wq@1=K3@X^T3N+-4F_ISaWJ0E4Fy3aUnR%GbW>@!TL>7;<;E+6FSa+K zR5PRUI(V)9*$L#td(YCf_GfD}E!;D5^~u}6R*4K(SXK+QC#utIWu#o>+hRCVhn|h= zDk)-q3n%J`)KklCiG~2))21J9MZlkK3zr2A9+%_F;kkbK^6{HD&Wz3CNfOKtV1G6K zuA_=@9!gL(mktt>t=6KCv&nX;#eU-~pL?u|t(5fq8Jt=X>_Wxid2Cy#y&rOgZvVIU zDn3q2t`HDqePtMttcy~;4$LHfut>kA&#xr>0n(-FA=C*q9dL=zGZMHjl(5L*?bFW) zRA);BF0dMRin%=@3skZPiGmEE(>0pHITi2j%QT07)rBtN?Na}9&}7O&Q5gO)wdyz$+S^8N0;@Dy&8|ZAIxo^5{r4)*driKXb+Q6Y zLLM329T)u0T;u7X`rml4=SqQ*Nb?mOGZJ_*HcSd2!hpUhtIA2{ob zfl%>g=sQ<<_R+Tq*eGO$1Jxx^UE>6kCUH_GE652K+~_}+~C=EQWe9yvdz zNVF3%rRCs+h8RDqE{tGAt6gx4T2qd=U$@Nsnx1kD^Om0a-VFU;c~6Cn{Cb1lU!BB` zQy9*+(2;vNozn^WrQuCHSDT75r=yPq_WEw8gDQ`A7yp)I0vM8xqhtc`_-M5s0uuBL za&By9>La2Fc;rS_ZDO(YQdJZfp=a}p3$_#}=w|am!-VQ>LC*za&bysbYOR0*DD542 zomGXir8mV58mV%U3+T7iyl2b-1L^7%LPeeV^t*%z+nXb*_l9M+Hjl>B(IZ^o9+$VL zQ501)>kh#8kI$nwSqw0$*G0UDqyG8tKO^+}A3Lg#V&pg!P%J$vz1#wmyrZ&AJz{kk z7iw;dPJ8!}Qi<+bLuB$XY$3zw39OHDs?A-eZm{=`kQTRJ<^zcmMlB+km*gSV5!9(k zt9e!738)pEkuTu7cVFEBNZLt75|kr{q#HT>R70OwN79Gto&jY7;DAQscN3B{S_ls8 z^#QG3xGZP!c17aX4l6DFh}u?es72?3$C`Um4OX=EVKUe;+$a`9b(MlO#ONI_~;bxVrgkI>FgGt(wj`- z^>Sen=aX-kc;0DMW$h)}u{GYQmQA~i#)-0g^W}|+=NWe~xUn&yDi%*?1{U*prTJt- z^qt&6CK|g{pTJO+^N(tQPbvpxn{OXyA@hKrt>E<30ADI&C&f2}u&!Q5Sn)EPXsvt9 z{gB8{5q-HA{em4^4=>_0Q`Z02_CwM=<2~*B>S}rqDG&tx(4hhb5a=| z-!{f?Bs+Igz9zp2k`k+$Z0Wt~HiBhp2&xPW2DrvYBeISHXXuKvN-Wl%G+1AAa+7gz zGjOyfrir1G>R{yveV!l%u4U*p(l*XRQD3X)sDo;jULXt+R-*Pd6tX)lRRh61_N;w^ zR=Wz%TstgN5QMkXDk;f3mpoMq&8FDaDQ*UCBmRkjWO|ltfk7(oVI+_IJwY3msR6r$ z>=tDy#A+ewFw)e_$_un(K1;MfE63bun&R(rXNw`!hhR8~*=U4q|NHMT5(IV+c4+(2 zVf(8?z_jP_C@G6FzMKIxK|X{2tI{X%cX0009y>?3^Th@UvzcLVvt6!}V5+Nw7@@KH$EahRf+l7{wrOG$u973n;8|-ix?RL6*`V?5YfUV0|Q|^HeR_(vrn0ktfXpr+u zAIf!}yS8rdu^Y5Iup&Zyz#@qRl9&kEo`1@Vx66X5`^Z0pI0#d-5hwXJi}s?+9Mak~ z@oLWpaIvyUBm0+k$Zl7?F#as!FsRK9_2^Jqb40_BRZ>O+SRsA7sLLp>-5b^FD43N| zv_zymkwk;uF=DIJOtshLsya?7%M+o-K7aQ>+KvWLArTmveJER=&u+va;p|lP@I?$k z-fR|4w`<<7*cpy?%9jn1PD;efE>I>x^QiK)MIql$*TBRh)O1=_UBP-*d-9jqG@)le z?P$$pCvu|_g}o%ytaM@Q{8oCmGcOasYpeMna;v=op$-eDaAbHi>UB^h1OCIy#E&O( zTg0|5d$idE+@Qvf!GB>%X1<_7i{}fx%VPvr<1^cqsB6}sxS^YzvtX%t^AAP`_Ut`6 zsN6U(NJtr(s-&eT!w~fwi2JL4lOf-Lno)G3(d#Vo*8`mh8&@fXI_XT2sUZb!oB%*k zSJx$HOgOk`>pWj6@9X*Mfh&b+~zD1iJt zUaHRKrso&PvV4d7KBXu7pA!5N>eJ9JoXXF1$HF-KKM4tmtDN<-yrB$c3J{AWJLOYm zda)6!^(y)_yIHOwDvTxQ%vy@)y(Q*Ec*f?7;IDd-_SPj&)3qiO2l!y%6sgR$%Q=0Z z(ZS*Vu{9L0LlryXk@r=xI?sY@u|OHEgX9qYj34D`8PvduH;YV}g(9m?_26ZCd1;6) z)L2PX@lawk2q`U*HPtr?f|{={5N)whQYuuHNzT&$>Olhw-Tf}9pe`#*W z#M*Eu8Jh~CA}zk{?k|KkqwTTA#rut#gK9`ki}?Bi9Hjm6nbSUrQmVGlDCLIRXuwR3 zt>n9c?X(RMNT;3Kp#f2i&7hm=TVYNMRq6xbKhegssGQIi5>Qq-4&df0B{xCPGNMRN zG7cfF+>4kQvNDg3X73Ndh7VAMNjy-6o(h1R=pL|*LjR~@Y6F^&> ztUpn35+;f9-2|Eid0cF*R$FM=1iB|lG2E^@^Z?z9=Z;~tUDqgKxl03UYR@RG3{SKu z>@K7OAsZzYhwyxrY`|Dno6dK5(xs&(_xq5Zu4(rdZ=#u6Vc)m+xCj&kY;++71O@TP^cN7d~UAGqwdIHR?zdf5%98 z<-6SeyYF}W#5;3aduI&sJbiEVqb9pHiH{X~#~&r%$A=G4ipjb1dXZ-FEXmf3G>)EU zH%M`<2ZP|V#!EfN6Rgin#(I6&Y`<2lVso?FN$1<57Ar!CqiZ1gfnQ^_OpYFn9}T(~ zuE7E6nNT2GQ!?pw0)KIyNy?rx2ad=Ie%FNf`oa1h?%}02dA@M8Dy#4z^ylOlihBzu zIwaud(&Ozc&2_>8qd4|$WgRlrsRS&vJzG7OaYJrXNa&c0bDWskbA(6`Xn-ZNqu2tK z-ZSs~9IsL>8j)6@{y@;pp?^d-zzfJZC)6+%1Ani$1i&iWi?UdmSp4U;m2Ibc-EHjr zsW|}ZKG#7d&-vT?QjMPJtfFP?L=&fVJ2}+TpU(8Kr<(M(_?h^(=Y+k^xjp4$F`oK1 z21dfW8W?H!%b6Be1)^(>|I0ZI>d9=Tb2BylSUdsnmgt8)!#p_2SKE^GAFtBnx|G7D z7fB2eVMzA)=K|ro>Q<`eFj5Toyh@uz58(>xzwbbx*$GeUZQj9>s$@(;_7ZVxj=wS zJJTg;s~gSnO(6pZ0z78V{0*R>+qFh?#jgEY4+*td)qG+`p(;3(0_BY-G|FS(_KzRj zlkp%&^E|-()<`ruI`LeSuXcA!hDhIl;uVNDT@38U@%3ec0YD>5^Sjvr?+hf*`S{wN zne{%P-Dpm7-kxn51-^Awtn1ODV3Bn)3jgBhu-3oW&vJIuYvVqq(G<=| zS2g;b)zE9f@I`nl2+$!jC@fJ}5Gz41v8Xx^lFqd(4bc?7x_UoQNk~GPqE0?ADG97` zg+d2XfBDcRh{T=)&4zBH(f$E#4hQ?HtAqk1tn|9pGh1+PAMsL<#8-pw~}ha94>? zp-3u`QTFxe?yn4wru-N0b6(Vi^eRw~R_tgKwnLU|JyWfvN&Uo`m$+>EzSx>>Kh={> zc7jcAe$10?f1ws-HGejXIx{(t4XsANe~)Vk_C%Erz~H1Q(%^^<)#Z+<5eqBT!6RJp zh3FE;?+nikQDa_%gk4leSm_3Apw+_|^Kn*dp<)Eb(SzNaa5e--OEem4dJ74=aF65X3DDNs zwV)K;MypdZ4+lWNy*NC*1nuWGoN7`B>5&DTL#p3W^65{+58il?z~Mv0IpMC|Zaj^(?3pr&7SgR~p0G?A+WaW#HRY8~YH<@pQ* zF#3h{S>ibnaoxzQZ&^pSB~Dss>S}sp0YlZ+TI9Wmk!uPE_2qipePDO=28>%4h#$BI zBHsy6ssRS_P-h8p@=a|&;_rzFU4H+aIZ;DjJsM5a1G(%zjeb_GdP>lD?As|^W+l36%pJdr!%VYI4LY#<@%hyX%-|_TNX%6ITonj;#VyecTYnoJ zA!VQrSlo}N>-Hb4xGEjz4y7f`Y;LU0GgC8ee01-uicZK!%JPUnl@E#WrN4*1#&^$< z7@G|&1?FPPH3H_(LIcTyA1^HoWof_>5GLDK#Yg>9Kokw`?~Bon+Ym7l0;t14@KVo6 zxBr~T5eT&Y$)64jv`QNP)e5}+RS8ydWR~C(;P)P#ogR{JpOm{ipNDJvh!WYtgva+d zw}`48nuCsGT0V|?F)(Mw6YRhKES*KGd?SsW0jW`{n;h*u04@Gl!&SJ+NAK3;qdPRY zd*hDZt#QY9Yup$c$3C8h)}6dt>rU?0xfBwHVD*YBY!QO+5MGq3M9V=#YPgjr_lS&p#tQ%aCAwXPR&C6l9I9DI{&> z1ssA7Lp0y70ulh(N$->=*Gy$$a*9egdb_gBnzXbFJp zJd!P%W>)$4nMdr+%n6f#AtMhpWW~{WEh&~I#ZtWZk3$9yA9Jr&>9H(~Gxo z?h~P36Yy7!U8>o)^M~KT{C8d1^_jo3xU@7Qqr*e=ua0|z0BXNNv5FL@rd?r1h*}^; zy@4*^Rn2J$-dp<7Mngel4~4fc+69aKbjHSvf&=oa2-u8+C!qpOWR|C>UHUXNvm`ha z307VJYe1C0k_TqE3W*MQI7j-AS$Ua8SHOax2Fo|er7Ek)Rh@CYNU#Bw$YIOk^z_l5 zU{gMn%=$zCvu4^HdwMJ#Y0^<}p`oGbC=`D$wI9}N4cF&yo13qE2OGvc{IqPqljC^$ zH*q|{ps1x2#$9+3FV|ob0ZCdY$wl5!QMZHalTZnk_v-j4QuYIdxjC7Vri%W-Fpfhw zK}3<^@E5PwS;}F4U>*Mw=(#pPkv8iY_i(9c(`F(mqdwV1u1mgwNtS#yKb*2nuw)O9 zaCo4G6qyBZdVjb@wOPnZ@>aGlO#o5EK*wa1k1j}bZq3^72h^HmC~YHbg9FC)ifO# z0g_Zu*dbeRP8=!4#^lj%R$*=i!&o@Ww-YeQ_+Iaf5%b{^MpC9Rton5wTfwZIFwta< zrL-K7wIqT!pE(cI5NUuknChFA=zPL?1<&3Mrd!Ns7FXlUR9;@zXE2qgaKFd`HZH}hn8xTpRY>zp*0Jkts{ zf!e8Y zSrZ9OOomPYM}iu)`lqTRo<8jvfD_`HN=hpEHeD(+YyAs2->+jeCNuTj7q4TgS6N^Snkmbq zQ0MR)*p3%-%|RD$7J=yS1+dmD69EoXxL%_Eh9;ZiPA4|1KtB9RO~xLDs8)GIbr>2x zOYg!=jGR{Mo>G!}Av=1?lV+e1C5xg90kKeBG{TtEqLQR!vIv|U*-n~w^>TL=ax>Pu z+o8m&_+9Br-<4I}I};X-f%|xpBxQyYcWI2#oT5lON!*DR_R5gpT^C&3XcTeE5dvkn z-tA=s*m-Due+isv`D);1B7E^PDWJ|bSMXH$B%lNSjk^lnSsVa!kTzifyn~ZvrY%cl z18&vQtybj2UDWTSYphLM>6>&JEvIuZ5LcGiqMI0=84}4dp8|w!sOHeGBj zG4R`P>`>2k)B>ju^j0SMqURcV=Y_oL`>%(3ihu|I2V9+y9c*x4!aheYGCDXou)?SZ z(T~-i`v*VJ1Tx55ei0px10X11AhG+J=nWK%iDy?}Q$!9-POQ?b9C|eo;=HhO!%@2ijfu9Kq(IPPxlY@ z&!YY@Cd;BJ{J68cMvH!4w=N3_Y}9v|x%=1FWuyH^s>@DQmz{;XZ0-<3`_61jY}$#) z*b&L-9^vRDq~~+1w{v7xV-?X}gk~+B1ot9HmFWrg@zo6P86QG?R#UL6e?LAth}KKo zy#EA)tEf~KIJ$^+L+Y8uMj;Kg##%WPol}T5&Ye?;I^fLPgw|B`t1@$f75Y*#s}_e1 zRhAQY)G~E`-o_v?F<0mARb76?5{#OlBgg|-@~tzc?Jac3#8VYUK2p!ZxYYM~9wwU$ ztiIV(G`PN4K?7%xBSHn_*U-r1TZ8a*bxbr)H<*NNe)Y##W)re6Y(lohb)qp=u=<_6 zfNC#WlLGuW`sB^0jBb@_&5n@pI?0q3Gz9Pi-TCw>AHLv`fssEOogHFg2Sg;tNAUkz z8|LuDZJQcr+d1d9$R^6`UNFk3vuEl&9NA>+(b?&U>WNWOty0aC>Sd47026|vFNrvH zPyJO*R0w^2sSG}I?Z2f1Dn&FiI~mWImtzI zlq>BgIE~EWt+Ud(8+Fw`?NR^qdDGxfk;mqi@S_i&Om+&IQENc?T zPmhkGKN_9TWlpd=7>}v@T6;m|8+ywNy0T1XSd9@` zG(@J*lyB6SOK$3N^tvf<+nk%qvS(BlJE}L8TR6{Brn~FcVVssukLOkN&2_5Ins4wa zQuJ<>3)klM4z+yo?D>=E+&tK=q7s`n<%m?L_c-6K+sTqOH?wCedF2YJO%d)@<0aH% zHScE{HE0%k|B7>zr!4YX%NQuK46UGt$?p*7pgOMw>t_T7TvdUz$7_|1T6GOBYI74k zB*$G{?2QZZ4223~JvskqVI?Snw#M^9fVwp^*dB*a30#pUmCz9!w z;dRYHph>>js&R@eg4m7*k<(5>abDc@P=6@c z8>bL?FiU*OF~jGi;mH7b)%yN&U?cIcQB0F+o-w^BG~VXj*QF0rTuK#7shyaW-=PWy z+}@>*Q08MW+tFh=kbEj2-Z}$WKWu<*CixXN$#k(IAGgg-l>)}m^;B2bhtW2$i|kv( zxL`^p-9Wy7$?IhMKor*p2NHb(mxSK^sj3DaQWN4|c+U^I$^m)> zLVq{AY`F`^;b%+}x*Xza=x@;@z#r~9{5V}U;F_U)IZR>%F`szDG9ByGlEa%K@M@?X z;O$MhF(PJ(?J6Hf(r8-nVyv(ac5 zf@&BhZc>&RDquozTWb2$CpWzPoA3FsP|o1Dm{XOYy{ZT@xh)% zh)(53309W<0_*%TVKEukj&tZN1aQmXgM_c;#go^cN56oQzgCt1g7@ODbwmn();K13 z?ghAetz`UbY{Tb>$Iw{vcn!h^%HkWs#Vu$Uz1NG1T|AnvR2HSp2=^i$;}DmWZpt@kuy9p$srLl9F_kSpK$=p+6J@IgW zDx2R#xW>>->%bZ>$Z7EjcWXAon10kJOuu4^XSm;8Rk-400C31*0kA7(Q*JuVq`+}l zqSP@V0 z^j6hB35kqU8zL}>qWL)2P0Pdz6?hZ1G|^-dxgu62++f*k_^?_8n4yW91Cxw2FxnW2 zFmgaGzZTY^qj-(5`C^@OI0qeM>h7|p4YdGJrsgO&Vyx8$o$)R+!EdH0su0S>De|ol z*4_Z74(2CiRe<4^T97FgTG8U^{iJ8VzeVunYQF<>>nE!;*vt!hBy7$T-8@9w$jZ zTHdfo8q$ec;C=F~`i5GxhM~6{b&ThE)K||9^r68JVLy(3PPi7@d|5On<|8MI1^YBN z2m2Vc-akCnMir5a;U2A)AWTu)Sas2#jB9Ptx^_Bm&E5_pEU(tHIYvPnh1)Csp8Tg_OBYz zkTwa1cJqh4UX5`~S-SfgEMi-I5_})^kIjns+ItW$naADRfgwIz4gAtj&jnMwVULl} zkc-H}Lq)iYNZyEGDltf-`XxcySTftOESpS;t4od<2qwR>@3aw!UQ4gCL30ha|5;`$=-YTkhakwE4I82LWHO*f?}uQ%2y#LvasfZxjp_^AOjfjus!q0o7YFvk=(NGNsJ?5GVeO|@JB#{~oPfYN-q;X0eBh5y z@PGy%;zzFPd1`Y_Xv7(s`;rxiL))0$f>Z$m^wGiY2VPJira)lf{oEP-LX0K zQpGJgBf-Y-J-fH1TLigXSEPMAz3z}v*B9HWP0ZJj{3-*d{sr;{LG^>n{DbYm=xCHL z;lGcjU}-?gC^)0qgZ~0n>N-W0K@ndjg>ekoM1gvQmUXIYgLAXUwEDoyCgGHszpLNG1Y5`Qw#3;-*BTpi@S$~h+ zaFGP6rHkKV#kYUl?Ih79+xvv!+5ocI@vIO|&LV5I!mwX+Ztw}Sx*Qxv2V|C>3Tfcx z#Jhz$is}PJP5XdH$Z!S~VS1)D|Jp3MUQx5>BV&zkW0n?|$~I76{=3UG>K~2=_sSK0 z=fi@4v6vGZo&*pSbNk!G?q9^$4RI_3YZquP8OVaiA%FnX=oKlqpvZ#<&PTv1{@{cY z+~wD-Jx)TFdT*fa%31kWlgSfg!cw%`r$r4g?#m#Ei$hT8CB>V-9SVtiYkocy+blOX z879StQw+*WLyoUnZoXqEDJ2~qHb&WLSVxT!~PmfQPMRXk(9W1?cdg*XJt=K_NMT0k8Z8er|18Y!A8D+Umf#IT) zUu>FZYGbkSU1fw}2rNUf^pLnN))e6GQdaxW8uA`MX`W{@5`SH!8|^2vqwI;yl+YkP z`zG3dZ>pD!@ff@@@wsWa$S9$1RxVUmr@ z+ZocG(5*0RH%?)WL6R=YIF8J)Id_MQKj(B`+HcHjmhSkEq2u3BMNjn2Px#Hyjr_^S zZ=O6E;QBL9R*>AFS3(ntj8TZo3^Zz@2~)j$TcHJJxH9Ov5EVEHZl+N^*)-EQG_72F z?ndHWVI|8*1gu^TWdaN@vS(k+q`D=F0so9L~>GC3}{wPmk9wd~b@hd4ISy&ae$Vt!u; z23##K_oPea?K_j}w0R=}jOEN&va4c|1;l`akUq!1E7MJ&{ndd%4j^fUTS6F}JmbDj ztuU^ngE+$g^6h{AfKE8VW{R`*BG${R#98wlbfU8GOL1?UaOCWpRX4jM)v&nR7*@l5E6&SeqMGWU_~oFYNt=RFE=3dZCU zWNbY-g}n#taP7?YEnx4t(IZkGI0Xs3Q=C<2I@CEU=7AThc^hJ%hWB`yY&RvSSbdhL zaZpa;#cKGGdXX$sSJixu`cFUmXy6;X<&8SxFDuNystYbs!@A<;HnWow^2IpbYbpEH z%N!%?`ss#3qzkYs3mr*luY*tSV4 z-H@TI`hq4+NgFd9*W}RrgYEd>a6E}t<13uWe=o?pDd~d=dmiH9-1FwEN5EM(K?jcdFqsv~TTQU4}Z z-||ZB%J7$gJrE58mG_*Rdun5w6C?c{8iFI&q)3=I7mCp)+j&`=?aVmq6RF}+8s!y{ zWckf@CJ^wHJLmsw}Tn*{f$3o8cINO7`)=>rEyP{h}BIgN(Z}xRhQtV0ZmrGz#8|55KAY72kEPtfr0S#O0t&hk7w1 z$UHy;MJ-x&Z0(g0L~gw?I*ep!J#ZZB7^N2{MXozQf#AyUCC>b>l=X+t>11FEHK})n zYnE^S3bWlc-M%K>P0NMdi0Op{Wwl9Fg-j%qAC9ngVz{%hlozYbBax<0G0qwHx&6YJ^Ihc90~ z1Ufp)v|wsAaitg9n-bzmWfZ-5&Mt`OGP+psLojmZK$pbJp3i&${_vZ1GO$WF|NHyR zy1W!z@|Ag6yrGr0tx;nJm0+~eOhrvb9i?vI#Oe_tx%tqlzAT<_=AYaqZ8#}Wb^|09aMX3{mxl^}=#cOoiE?4d=~;d8=0)^&NECsFmS)afs2icKY_qs9=pN2#M;S0ok&83W_v0V9h(3#M z7Cu49pSw;#AY24k@Mf|jV1=CFP}hu>pxdU4aV6X4Hg8Y&w8?f-y;#<4#r(6*6ZN1E zhIGQ%o-EEMr5+5`A%}xmYn&DIaOD0ota+n*^*l6gnM*Gi+9C7Q$4M-6aK|H(gOzdQ zLLs&v?I?a#L)|BkRJwZmFpvOxU_`tmW8QVyz9vYwop9Z1zOXep>EJukq5S$W=`#-8IC*YnCdk@$;+HzkaN zbi7&g*eaZ=IR-;ePf8MAif|Buzo;s3be(IW!Z?7CAnMR5>>#T^+<<mbTVC4h)XhdC*M#UuHi~;iu zx;CYFc7W>P_U}-ZYYo#%EcsPv8J5Kav$Pw*E<&dmL6&?d^JzA?QTWCf=5~lM&ACiOUcCWZ@r`KJ*~bpY|=pM zns0P1ZmdO;!if7fbR=!4f+HNtl3Kwz5_N!H+dKfIK=-OglQ^{b81?u@aK9Sn{{<&= zXJ{AQWKjZrB6r9*@_!`_1I+n%jhkP53H)=odHv$6uh+l${jU>q8~~1S`zO6rD9ZN_cb?hjwksFffXvCtxcnI|#fb280VymZ>H6*iM-HmDh3oL2j3xfwteqk{w8j>A*YlAookWC?MP$UbD&etHg9>VtFapTkrBS4|_3 zn^YZ5P{|hRu4~VDWZH9fwnKZ=bFw{WXFIp&_CI+);Ptep88-;$XdwE!ip>X;caTP` zI2eE$+JyYKn*|(YRF9+veFvh3hDAt2&+#z>ovo`3c&60xfM_IW=FH-?tHvlii9RY9 zZ?-~!vPQw!LmdX*M|DhXP?{EUkT&;)T8OKdQHtF0jnYDby{sJLtSZ{r6`^sA82-`O zBOP5wrWai6pF|V&0g4+zC(^%3%7?3bz^5>D45=j#moPcVs1RL=I@GD55R-N+P&vQ= z{@34UMV(cN0(C__hn2kt7rD@}*B@(>$uwqbzd9p~q2+Q{2?w^}$||CZf)tx>bh(rI za;X7#D0X)ELv>{M(b3LD8y4%@qT}M1*b|?aj|kp*P2H?hB5+N%0~_N)B~F1J4sD${ z(bHv4?z_x2VUOP+Iz}H$9Pae1UVYDkyNPUh@)G0tm8c@8q&T`%Wg+|@nqx|FAu(!@ zevMvjM=NVq0Q7~_=Ui6kSI=Ll6+(x+!>LH?)Cx#xmT~(`wLGfLEu)d#9v?_%mUKce z%hU*%RM|0Y{XRWS7$i=cewHP3EJz)6)T`mHN8mC6v~-)r+nD4Gu1tSC5vneE1}oi@ zGL5~%2NC>|UBrCfX*?|$ff2|=B5z|)|4oA>)ap3T;gl47JB%x_94~*Lm->O|{H6e^ zsi|&-sOe~Y2!9?<@XrJB=M4WG`PYxe;_nB3+qj0VO;k(gEaiZUZ7$+%(PZ?SJ31X7 z;hz`y=K=mX6MsL&KjZMPhhtm9p?1mpr%DeTZ7BczS83#fZFXXBg<| z1k|f;n+1Y|D+we^wLpgKMy~lPQRaP?NX=w{Wh<;~GL_@Gsb*@OQ}Zwyou2g~fRT-k z+{Ztl=S)7J+S8ms6qYO>(AEy#ic9$(=Ri`hO2Xb|i8_R2g4#7NuXA9~y*jOH4VR1I zw}7^V%ufyQbLr2Mu4ETF-^G6T+W`)tMG{+pAHn4iR~Xo6I!dH?{%iB4p(d%gqZ3{2 z6xD!Mq=$5fZ1u_EI$bX5hibA`1s(=vM|l5{3OM}h6gET-kSnzzM_#8ILSkJU)e1AwwKw0T zfs3nBU6dDaZ{=@PS1)cVReX+@@23{-k;?iv1;^*kM|7 zN?a5tEnE~eG!#b70*FF-U709!y3r!nNE!+;+We`egrl_RBuBiCx9a&4@*u|zoD>Z- zb~`dswDIkzetsc*ASh#ku<_e};z1J~icn@U$f4d$nI_An1*gD(#bgE@Qv;62ieg)J z4 zy@^Jq{c@HNoLv3Bb4Be`rcmoRSSu@je1Fv*2CF62j_;>dyG#cu@-6&rl5ZATRNgMx z@bT}vRkxSzO7)b7#@I16WEXh{@u`q9z2DdN9+36f!a))bwZ#@dMaEdstf$WTjo4Es z>L>%AsJ>jf{7hdqx8-WaxNB#@<4JM0e*(bkLGe? zj&JTHQt$Vkz32b;y=Op~j_Q#Q%uH>{qG#RTRmGn6Exq@460!G}bJrQ~SvP<1J4fu3 zKRo_}-?0cdNts~j$^iwS-(3zLwert^|GeFeV!UOphb%ek4R9M1ZWavetrGF+dRIvn z!%2Av&`|g@UaCE=XHR*!il~MJ>1^DV+TUdsH zN}vlS4}zwfw<3}#&||O?h1xj2OVTVUdVA`&r(5-{hL&E#CZ$r@Or1=GT3$^1!GZ8_DXUR(SRbKX}r7#D#7)n+KhN1K@pGV)V>>nta#0q8) zSiu71{1BHksG>{0*nhLn(Q9d5rf4l=%1f%DhBa%8kz-1(wHS6E?94si2Vy+!ppd~i z#MX9L87{u77{eNYz#$mQ_$z!sYWf?T9dPQgCzNmEX+A-pxOz?XS&IREO`Ybr1%A31 z@H(2cvMFh>|JlQ*1OKHF{O`pa3p#nBH2nh7MqR-_xD0a0O9lW;W11Cc+Cpol274u5 z%JN^K06e&y%w)hEWkw#%FbPxUBf?rsWE104NJ~C3xnA2T1V?InSbdi5lFuTtdue>o zMAi*96JdL)CI|E*>J1hA{l&;mi^g7d``6LpGVLw3kO5>NfKyXOR7`jrA2TVy=3&ed z;0J|lxa?`yW2Axad+y>uU3!K+N~f0e0R>aheakrxG4W&CWX{j&=LoQ`+YP%oWfx)4 zMx=u4`p)(bAX;*~f80Ydv^8N*nXRL@$~jk^zery z{J47~N2-yb*4-p!r{-asbQ(c2xlC*O@oh5sS=!Kzbxr8fJ=jq16$w(e*etWU7X9qw z&tJaSwLv7y5p0wARIpubYQNQM{Pk`h3yzZeRiDABj|o$#9O_;Tl-K;hlSc8I&w zWczCm{FtQ|tYnDI8@0N}Kq@M{ont%?^i&a`Hx@DtL6k!+Prm8c06AWP0!}nZ> zoes63cghrj*;s&ft(4G_J=dn8cR}^}V$H-np-Z4;x?{zvdq`epb=QhNGbQX)@eD8o zYVWlm0ju>fNjBF>vXbuv15MO~?TIW4vQE2!)MT0eDvJQeUdP7e8sxZZhY(`a-7(Xo z>nK>|yv44Kwb%*d2{oH%#rE8#+S~u@JwF;-n`%+9#4qw~F`T9IbW;`F-8ndW6AsN1 zfUH9tR)mq1l?I+=zTZ#RcjA^d{u&S~eabP|!-LaDp*X8dIShnXMKBYaq>KIOb~Xcj zU<#>*f~C%pKOpHCj+Sy)HF=_(2*YnvU`*g^L=JcWV&j|(@?u7(3IeglQcYeXYPfl$ zvy)>hC;eP|OgK6d!t2y|c-BRJVR%toK`2~CEC!2;9)fm;tvpq=sP%Bl%#c^8sq_+UEagMhQIT8Yr_wwGyd(1Cb6v1AiQ;TbLlGanI!Q>$S~YQzx+0Q<}Jq8d4* z9hP?He7Ob&R-_(Y)?iRvr5nPQkgwNbQiyDv;%SDh@vJvG-ak1a&77k%Qyx5vzv$9n zeEq}k@4N~NbeULvn~1*vce%>bG8!G-ZLQS~yQEM?8)#o9h0p2Lw6xl_MbFB{)zUbH zTFAGkjrP2Jc6!nq?649R$77|V~=PaR2c%Eon%)jX|!a?4K$+o;RGl? zaszTkNsQ?tPX(r?BJE+06}nxr#b%fm@pm_oTK3>+@Mg_nhJx2R%dd2J&!lL%8Ya^s z(b~hN(n*47QOy`<>OuA@b$do0HW;@+5wwU`ko%;o5ynKli6UP^&kX$TI?B8k9g%;v z_v+yjL!Pv$#!w`Mp-&tU=qn^e+q0BtI0*mM_jgy)8=ajU56@1bS06s9aZ=Q4>iMEg z!BB#n^HSnf$7pniuPMsA6Djx|)LwPpq9he5I58QBS|f=@2Lq3!%}0av$tFX$>c{c* zWmzS_#>+ijn#Qy286G|TYQ0j^<>}}V0Pg^PXJ)ktt3M2IXFEbx$fIo!6U5#w2%(Jj z&dm(4fFazP^IE+sdp5z}BsPrt++j+p(P*_mw?j}sJtXbbnS;oboLG?QkAWgpBoJZ^ zU%nhZeX2_qsTWp9tdugVr^C@`IC|8pDm@65bqm;_@&Dvvt|om7fl1MorYR1$*@}Gh zn14PsA+In9z?49&+vP^t(>*w08&hcsd1??ES4V@Gh<4dH5}{Ixq?z^zU#17x;*|%%;X}}BeR9O$acY?lqoNbu!cPVIOoa7(a%1467_$U>VV^uDKVbHe0U2#y(L*6@tZf1eZk}^=X{8Y_7F

          %nL!z-KTG@!6J10b4*@l7u(u1t(%9DPpgB616zC_@=7ee0QVI zE}=!5vkiZvPNzvy$)+H-E34M&+NT!PTWnD;(gIcSf)E54V&X^inxQ)6n9*ZXGco|- zKoLho`B=IPj!}PfI55_URiVh}9oH$OzZ6Wo5Xg97uS6inAcRSq2U@jm&hhJLR0S7xp$d+Z zb}uRb5{pdNXfB%B|{Oez=9+qG8cv#JY zb?WPGr49vg60;m&?^<34s>48)$;0cf*;f@ar`Y9kU;zYtQKwUAT*}IlkkvW*?G0F@ zT@vBj%>2N({BlBzfh%lwhH=Okya0BE%+zynwkPnSc<5dLgAG{)>MIn}#H)$to1f}g zVURTniGMDT30a#0*<=X7xL>X}0TwO&i`t#km-i?PoLP7i7c)VSHA@*`33SDk3_bM` z@qST8P52A$qBdU5BU^_EDo{aO4fqnd&2KateGltLTt+faLKR=^spR!m0oyE(2+qkN#s8Rc(h2d-EVYqI$Wq^ zs0Uu%qEeVT9Hdfb61jl=H;G}+Ami=SbNGqDMXCdqpw<8OWatn*t1!5pY?2I5LqO@K zmc*nBqGJOs5GEm7DSTP?>}xgt->?$Uc;Kpc>1M=W2Pg}@WZU+eSQ*)>a(y+Drl-7S z<1tu}dY7NVqn_D-f|2ys=nBJb8hkSQ(rC?1lT|$pm^j!64zx0D`z37J#g$)hSIu(c# zXFWmlLw8BuA1aly^~qbH9s_1#QUPaMeT~5Id>ZBf z*6K-e{Qi$U#|wF5dK(#C z*?{7Q=Rmp0l0+jd$~sQEk{y*sZO@wnzF?ui9_rIN91DCeldp$39*&Pa;XgFT>oPT^ z{GYO}W?PUGaSZ{9?Fo&+pf9S9X$VlU&R{1jW%qY$Do5I>^RiZ1fRV{TbdSP|DKXROEW&qGW zMO1}kt91uGYp^&Qoh{7qxBqDcOZBu7J>}t7n-ElxG5r8C3sta{XJM)vOQzxRF}p%2IbUNO!=#ESPsmN6}(TJoo- z-aDcm_{s?&kItfRwkrhiXl9(MWSHEkD_!gxOSa2p)aU0==w5V=^qA+wPG?(DrkUDG zW=OO$OEyKGZb08R?$r_nF-*n}|6S+RsDC>r&?t~^&x)Jy>esp8^+TGP5ZX%5SPynZ z&Gn^^JfI_1mVwP6!#yL~yDxAB=4LUBk`_;W1cer2u+d~_*}8%REmpKl15{1L+vFmS z;NTBKVvOm%YVBIhvYR&W`0d|7yu|46q?QX>PYo6VYg!IRr_n_+DYh{Mx+}_e4O3l? zJHuDflYuxG@_Os#w{xT09^R6vQZyII&4>}Y z)Re7R)yx7lOp3Luy+9m4oU@K@1K%TaC4hk=+ zFq-Gd3haxh0A`m$jR>{C6tmWsHaX6Y3}T1A*3Ve>x6Q&_yobI9w8$#SY)T3UYD$O{ z5}@;4z3OOMKz@3S@VI(P&j8FP59FWYbvwxx%82ODm$(1)gWch(K~~8od{!Nz$$4`_gcYys7aVidn~BN#XD=B9xc4wx%jhd`yO|wJ@TobQpM;e5 z`uS$ypgM9S*Ji%uJ1 zdJ2L%!q|&CoW(gGgMDy?ByJ0!aSfuP=a@}6 z_N;SQT^c_USbVP4-`CYW`NJ}1jpM?cLMtLWwQ*{aBs zfV!{U(keB)bXAJYZ;Uwyj#A#joJ|YOG73@%KYZQYmGd2#;U{|${s-5qzfOcxu!f9+ zq~S#W3L%`*tcY>&(1A$V=w*DvmL~vHSHmZ7&OiAipxzNrr}QMbT``6btNDP$+*)Qi zo|6E~e69>TB-hd$m@$i9&gV!?hOKcE|J#XhW&F|{hoEa71+ka3@#*~tG|wM z(M=Exn%!8p{5aIDn&0-<)UPA;O;z6^`l3qqtA6=DyBJBD-L!qGS5ta$hm1^aj|o^% zujw1c`UZR_IF*Fni68o&U+R!BmG}BmOoh_If)iY8qoY7F?e`{2!kShgI-C|Y5|0wc zO?9itl1OXMrN_w&X-ZDiZV^p3$EW0j$X7StMwC`DngnB274jX)oum7i!dS*$-_B;J zJ3^;GD@5XBlzxwbos^PbQ$IHWmTBQEm4zSo`Pp}dSYL6wnR1gJ36K$q2`6T5Qg z6Sdq1*qupHq^QCteUmy1#uP2Fa}N7L^g(2kkjw27EqmJNjM?`FPui~w!1$`Obsmlvf2PINwY5fX*; z0xAubymx5P5B|cEuBy>GE5Eh}7#lq>Nx`lvq3;T?zdCaklTmqKs>P798~VCJ<~bn_ zOnsN#dXJf7baZy2bGMYm8a07IOf$R%5I8o-O46_nOOVRlg4Fv0p77Yf6HJ5yK_<09 zj@k%^RI4@tjJEg&s_{)1s{bkXN_%$P0HfoSr~50JEBafSl#W#fIfkkx>XC<}Eg183 zK#51R1^-qh-=2I&)5Od2qr_O>fplLPe{I7#kTRq8=?!_F9{uW4pKB#WI=SM%RJ+kv z1_WeS)rnZaS_oh1U;KpU_7rz&j6)CwXF)guf&ZdMFsw}q8HSZ@d`D3aKg+O-wnt6+ zO{d;t;ScJ)x6nuEnSmaA0skTgjT+N`_D}1mp@Ga+M*|)0>&HM-+7@q6f-?39q_RoG0jmA6nDd!CXxr>4OG&K1&-mdO`U1_TgKgGoP z&0_O~*SV+rk5oI4xShBr9m8-Kg8Qy}Z)eHHCYoe<>)?F>H-4yYymQZv_m6%M?b@*! zv&xF5p{WTrk2+Y8K`}*B*#xrLr-`0I0{A#*#vxjo{FCwU>>qUOwA%yHY$a>mZj?+O zoDhXjiF(i7Q(f#sUC1kI4wzU3dw>#qtk5N^@do_|=~rs`^)32ElFk?E9jBCq_c8s` zgf-1ONiz+V*&CDb#2r|)Q`N;rR^@PcTmS->+;u3%R~x43+g?lr_cD= zy07Y0VH9{a`L#Wh0o)d5fVw7p6rwv)I#RWu8vY{(h4Wb;kASeco3{9?>YA&#Kvykw zg!QF7!31bP6VP%neiYHhikEaOVv+=L=WIpb@5paTo48Cy4+TfK)jgA0V_Ne%&u(UU zVW5EXkaP=OE;YI!O&~mGdYKD{E+&ZKWQ&MJmf>px4jIHP$0lvk;WpRe*RST`?o251oaP+^i~VAI%_X; zgHKduVUBJ$H8|CA!M?2{!cE|KLo&MAIOz5BI57Ch0-khc5Q4y7-q50y|Y8RXyZ+Y9N!b zaO9QRg)cEU1SDsd@W-ASYU+fiq5t^`7L)i!!c7t_P;d_#z|g?`vZu_tynV-BV7eGoF#FDu7OKSI6jV?Hi=tRBTf(C z|7y({{iOIp@hV^4ELqaw6PvrgNH95;ZlaY5)aWs_WJ3sH6hMIr@F2;>@GXmUlB#=t zBtAqnmn~hqkb;| zrW?weGPQ44pxptmbtI()g_>QOdHbhuZmE4_zKyHo-EpLUfne38Riytcp5@DE4ltP& z5bm@)PiSnp<87+hv8+v4!rR7|h7yLW_feuY&5wiDxcY0#@696LmN7tH47Hg(aHzw^ z+0mmWBe~QrIhXWQP($jg=#Dg-s~x=N9b&s)+E=0VmJzw25eGD6y`S_9m5*ucPY(7E zMrtZ;a!ZNA&&@GO0nC?pWvfASx%v>0)xk+pne|4S{>H2NTiSNNb1!%3(~BhBB)Z=qE&0ss7><0ry6_jKqEi@IWW~PW0QHH^Qhrj^43QE%Xsxox)&|dLfHeWcrUtC z(@|ZF2X%rm%BYIJNp0nyseiAKBTlRDaQ#1Z+Q}!17jT5)+V?nTd?{ka>+Nc)>~9*J zH_J($Sxf1UVCVZ`yj=gNN4X;9<|ZSBIHE7rw)=WpKw>M?J6xgTnayG8&@x_mvTL%0 zQL$>byoLlNUGK#f-uH^IC{2e-c4-GW6!dSAmtE2XKGCEbgl@rNpYSF2>I2S%u`dRj z1D~9jcPL?jh(s#)=rU_2+$IOB>$e_7DGl%*Z)A zKCHqf&lho#-9#V7+l+nRhR_`SgE!O648T%X3PovSE+My%wbHyC(AnyO7AZ}BPCW{! z`G+z6!Z!QB$&b29s#^mucLXrvJs>*A4*Hh2%`(c;%LJPbM%|oKgajiKgYj`{d01E{d4l0*guc%uYVr>Cic(i{q@i3Z({$P-CzHl z{RZ~W$-%w#&&k1WV*iZpuYX3riTyLazy2BjCic($+0Q4xVfORwe}h3r>p%>7Po}DO za!4Rfvv$n^%dhgpPd*m$T=eSUosXklwxRcXp(;skqR+Rhgy`j#OZwp@#Ksc!pDdqg zk_63!;`H(!~A^X&b^M+D;$LNgoyv)U6S9bP^+^ zpn;mbr7%!?&u4%?h;@j9zk$-6?*t%H9)O}8 z24=zP6cT+5mb6wgYrFIcql>(908#lG~FT5W|Du~AsHOEl+xub^<3wG*wFKn3w3eJWxT>AlcM^w zo3P~1^#oRu42v?-^HJkM&>f`Qfv zes0SoOQ)AXJqp|_^sgq-jf<>U02KmuAzs!1hotf-fdIo#?P%95FKmJuKHe*BtLgWO zOt%mA!zIHFW~2W+Q7bIVbDH!X@k#hlGV1TP0lin5l>i%FVio>(MVQSRz=U~Un*~Hd5R*>qH)_8jP{?C9#V3?~!%z20Kl8?)neDVED1~F;$_F+H zXGFqh-4|luYM41VOHN9nCa~d(Dt)H2jAkFBm{Djo+d2eXYLUbZYl7$}BH^m2vFWiy z%O+r0YiMdN^QaF%iiKvV!Ew+?QwdbAv0+f)RL{zr1=lC&NR4Q;YZMis5t>50G*?aD zW_h$1O^W!tG$Yl%-|`iH(Eg|_&TTR)0W|~C44I_GW>Eo@_T>WWK%tpTLlp|R!nXC* zq?^iGs0=lL@#+k*XTdB~wdjCd!da-#R&zjt<4eP3S~5iNn4eH95-&TCBGTd-ot+)@ z_#n5P09koS@Ipc%QQlC6FG9%Atk8svYBp6{RUN4;SPsb_r}w(@x% zXS>yoPiWNfJ5&$JD${t!S7#YOUUFqe^r0+EHEiyIjeds~y<>l*E3b*T_5crVrxvWi z?#j2Y-)<*C8hkxg)j&cF^mek(E~~yvd_Qnxuf+XG?&Rw`;KcYQ2eqIuA1qHax~2Nb zzn>X1K19qJXvg-LW?^P|W$6Y_UhgmgjbwPs-dtSD=P2c3xclbWIcm zYMTAMJ8(;?rQp%<;8aMVH>9*UDw#6R--`c+bDr-?Jn1N4R&wB7E=nnOX+U%5i5l!v zWfHR!OPZDaVeI*C~KjqyG5h z9q1>?YBl+7cpDR!r58q5riP=kv3Yag%Gqp`jjPs=OE_)xPwR*(J9Jo(uo910Oj_Bg zuTEO{DnB>c@}x1s_z^#@>j6sqRRp92GrLDU zRR2DloIV7J$<<8bZPgbGS8i0Nabt&07S+Cm=S;0S2?LU3hC)AQQogc z4suV=%WmV;LR%M;cs_yB<4dN$4Am9%mFcLz@;)f;wu`Qb) zAn{?zTyZ6kK_Fqv79Ro$|3V-Ewutv5BHoCM{HUJUd+rsMb?#1AW<+FUWW@XNyw9U; zM?9M&wQ~Y@iw02BbK&`ru{nC3$YMv6@UvagGiky=5NNUde`u?&9U%y{4v_lgVYJba zf$3HmySsJzbc^+RPM;!9VML?MT)Ao#y=n9i*VJFa!^H4%*F+5s5345n(!$n~(%UlU znbK$ap^hovg2iPUGT?ze!UJLg#XOCrhO!~p5Xl?fxbG3WaXb5_exE*RZ(Ff7_O9rR z`5qq(Pouq)QNI`cI6BikslS=#Peyu-ROO(hmv^6BtJ>^MuKl5Pa-BB*pik~__+WUT zX7?CpcQ`cDdmyIw*qPor#^^&v25t6rMYR>P2O~0Q_Mp6vnl-V<#_E9j z&e0`K;#IVyY(qNDhb>mrV|mOVA~B99S6YpLQX8Ob_^2$pAXMP3sb~jC&EJcjZBMpwsDhQyfwV~>;6%Kq zw_%-8F$|9qZ?|vhg_@3YnvUovl=!t}>i#M-FCkwIQc>ElZxd{K>Ip}KOsfU0ECwf0 z?o9TgBTK2J`8Q?iGZx+UsD{Pe`n5a+m5vloZ;S~MZ+@1<^KH`a5O~ts7uec9H?|*f zh)J08)TEnI^zC0=mj88#rcn5VE^C~2WxpR4s6Py`5{-!Rn@3JJF5HCoP|*gh4WD#S zh^hoMQsw2tGz#v-5WShuhO(TeppA6ovYQq8)WkO4xQH~Q{0M<2!m}!Cb^bNd-83ZN z4WtkAJevu+@OHVbv__Cz^Nk1KK24JG0OA=$SQB!gYnh!d(BOSUTm)`OWq@1z#^_u;h8eL=O}rA(6>6Fb9R|9!9f-M0SUS zyvK{8PnWnvf;pysQc& zR?oY*C8?Mkss6Hfy@;2Zm{M~S8BDWLB`s+gvL`{#O#3L<>8T8(RBm{Tuwv4ASY0J) zvAv3;`zqp=~8{t&;eA7Cje5KsIwj&g1?^}f^-s~rzVrG zG*p&^ma8CogRX&V4=l5?mbd9;{1!0JWWHSH6Hu&TfN8wJtw5LY%fW~QbO4RiV0cO( zM#&nadJ?gZCYzzw^3bT6N!T=?X2ZS$zwpLK+vo{0RRgL~81~3Phq(3HubgFkn zp*w1Kix#`zI6iDh=JF9e?2hXJy!_ar!XjDX9Z%HTSSoi8GlI&LN%Ltlh|BI^rjQ$) zBxao@7Qm(obmbOuV$Ag2x0eqClc+q}zz%h6DFTAuJFr|l1cqz5eU&Lt^ zN9S4UfT!pIrqRB`p6+|zHibPSJ+^6i4f{NLs;;@Fqe%oI@v@0gKmwRWt4IDc%f~S?qaK8+4EUz{x-v7D6UFb=!`)weKh1WypwK}(zq*ARm6dVbAXqMlyP^x&6)6?KZgdU$wKmj6 z++76w>KocIN=Lb`mKa??g1`v3A48aKcp$@c79r;c=~`e%P#1}QwDW?xD8UQVk-o~v zaLpC5Rz^<0BO2LT59V?52#HTAs|mKDI@7)r*pu>b6g`Zl!(%egNWq|d zIL)`?OotV8xsERB70Xo27jc6TluyWO*@SLMUw38NZsQfyV0CKmluh6J^`YcjzTYVp1LJ#s9$ly(b{HQwwe$GAp8RychVc8r zFugZA5%d=_Y2hZ#F#R^2!FFiz?oY9t1<0o)wN;3qtpZsCq+VuQl|MWvedG>J*)npwv>n%?$D*m?IKf zZ(+45gnQAUza8{AFceR=r)o%c$p>E7?v%yF*6ao8PZ&zrN-cD6;#`3?m4@JlfcLyF z;(%S*-5MQ=eLjlGR?|5j8|*rajvhg!f;7Den7DA z1B&%II~Y-hfPEc=H)Cm$Hd2sf_;~j~mw8bnf-Uo=6WD3zd9Pom&^I^eeb0&VfTHRZ zdFV#>_4oGjO~2E+vP5}Z*K|I#jUNF6vW&{D8_mB*~irye{-y^qC|buI6 zUO9E(^})=#l%FXu7dqN?@{6{99;yRlAe=EMXq|89G>0~Rkvi4ix|L8YGk~r?A{A`< z5P*9;%fkKBDejL#@Q+YjCh$hvB6s4L{}5Ph%rJbx*2dKfJXBSYMIA3$(1<_-FN?s9^h;)oUM9 z=D&P^F%kZUQFbaSdZ{MsMXjTsUvP}g%4A<9n9MKNTR84#Jq>G4r!B16((3;6xGjh; zKIoU#><*5;P`q4k%SdAt1!A^rshbjcYd9-Ybt24Tcxy9d)@=egCM(@#gE#J%bAjgS zC1GnR_l&af8!#^^D;0Ez<0-iR`)UwIlxqvgbLjP3KH))c4K>N|wYY*7P7nzAD}s6Z zi;9wxm{atrB-KZOVlz;rESfQp0xscD*XfS{WQ%ydb^Jb+@eZ|^;irf2<041S5U%wt z)X{IFW?s@{vz?OOFkV)X^5Eu=4h|0b6(*QqI-_aR51GTb^H0?)%V-n&-H$p^&&Lqf zsA_a$+*^H~gs;krtI$3slny})3A8WlO`=Xhbs#Xm{D(4#>%|`-jHV8PB)ujx+G(`y z1bmq*~LDdo#t{ea}26!TC`l!=RDZ>|XKHQ>|?yc^7#fRC!Jiy^u`3 z&`9+2ZLLz5>v*2Pjj|0#X4!)AS*+AoWejUvVlbHQ1etrUSg;J9Zu>4Oal9=zgPT}Q z!C;ZDOX*|OX<$lyN#y#{V_(#1Y(m(-NmbL6)TmRfv@go<0nqy7z(Rpx3_;k+46i1) zR_d%(=>B4G5=|W~B@xCqr-W?sZ5)wd!1((!@o6qejenKJ89*KH)vj<$co| zplZ$F_V7}p)n(?1MzSZBfL8fxAk~8C%q`+onL#p(j@&K?&~g)oVwzI<1p;eyJ4Ig( zympt8L&aT(_yXD4=AD;>ghJgr+Cy4!$cOgFspS_8jU`A!qYM89B#8dtILLl`H904w z$iPjE)J_2dqSJME|IWvjg%DXxlgX82PteiRNxO11Z^R={lpT>T(X3Q7) za*XlHb-0rqr%X;#$LZOrX%IdGQ=86|i&zV)A)g*^yk!~0N~iE1 z3e3|XYS4znys%eVu)JKrcdwxnC^w0+t<+or*PUTC*b$CYw*l-7$m&E9a14YMM;J@E z`;$A>`#pal0O4%s`Bi@cOfHZj`lc$JM0VG?fY98SOx^6EG$MSwb~QaJxmRnO@yaj5 z(CcuaX*5n|c_AU}Uh{YVl%u5eyrPL!WiOCkj>xJREE)gXX9OqIyLuPo6Coztpb4yc zU7;pK5{6=|A;Gut!q4ANd){EYX$lX3Nn6*EO$mV@M&B<`+uu z(FVL^@(Erfn)Zh1W)h8#AJbINfWXA)GU^TXb$2j#CGLnX7y^w61S|#LC*0|MaefH0 z4y=V&5o(*StPi_^tD--4pn4Le?EBhjsi;&cb7BKdQ@%*^eb_Nk85!;=g_K|=aYag8S9LKR)5f%Ppd)I+^NX~Ab-zA+EhQ~yAMY21wbtZMLf zUCFrKpaqCZ7g-+7QDFehG)IrJ_B z8dA;bhNo3uJfNE539Pk07G|%hlq7-&thY_BN$F5n86a3OKzoO_#xv8Jh*es7RSbVh zfLg^wK^*QBcS8(Q&N%4%6pq`v;)M#fCd@SBOoX}S58Ol;qo$Ix+{A?H2-eG5rWjF? zFe&nzX%$*qTZTXtKuxfjZWTPzaq<;}?cPYF0B46-%)>$0#>^g?Fq9DsCWpf!uTH&l zCFfW9@b<(-{UEgi<`~rmr4E!C0K9$Nf}b`F=b#{h6N4nPtwe$d;sCmtzHh>?qHWrw zXvU|Nr0-F|HFV1v7{W>8%G?|_G=9$cA>9LKsiTQa+AW-CD-w)G^jP_ zOMm5mo0eGSDLru4BVY0Io7{iq(b<(%^r zVsnF^pMeqd23El(hw{$B8nAy63ma<~cLbfe(RA&DB%2~n0Zaj@q1C*+Pn3?I<2|Bv zVK|p_I><6)15@+hT`(_0&GH$LX$mMaxr$#z>!JPwpMlc4E-3qNek2PXF>7LW`yw(b z0+s<@Ad^kJ#urm^`3pGNrkPd3Mulju)$#;wm8!V~e+5V`Sco?ysUk-0r)RTkM?gw1 z0?M{`Y-L>JE9=GBR_O0tTfv1`w<@`fy^?Uo@QnLBN`kXeU;XA@?*2PgJxmys`;tsZ zyC2b(Q%O@>K}HBBtMipb7IEuK%`?M5U=xIpmQ#sLe+zMc29FE47?Zyna-n3!d^`1w z-lOQ@7$O(SFF2`%vbq)N5SHUC)erV2zTIu4A)CM$_3GRoPLvZHu^LX2r3Ssh$#gC3iAWJ_M4v!>fv~j<(i&02LPAW&-5~Pw z7%nI^FR*HK^dUwz`aVW>{2@km{C$k<>_d#~?E4tm@PoY0;Rk)6cmHWC#S#4GY5@YT zx;C1h2tzL7Azm(qFaDViO@}3lC>9 zFyq+M+G5-Y)dpHVPS+=$$1AS-hZMfU{ZuDZg()NA+S%Kd3vjF^RFH7@@yDHTk0!gP z%}ehU%_mep;V9ZH1JE7Y#K@ui0-b5Z$4iREijWf}WE{s#Y zF?t*AeK8cSM)A?)Mr`!eddU7T14DvxQnWtx+&)RNWv-TV??Kg&*h7gP7CG`R2v|B|^h{#Kt9{C;EJ; z)?XP$ z_Ec)Y0BX~&Q8z~;Pz-sy%}hK&5>WUX8?g2=l1k_I+==Pxj#Uc{iu?+4uxigUJ}dVo z0_t|^>ME|O9rmH&lr`@`?V%jt8z&oOYOX{drece+Xq-zDnOM~l`M(`HUd9C*ON>%5 zXmLtnj&CKc63-t@sAr^U06kY>^}u^Kn2s2IZ8hC_#$3mI8EdWjQZ#aH^k}r!!5#AW zYau7}Gg+kDq7?5?vZ3hgtd85twNcaXSC`RLjSRu^UtK_fxEs&WFIhvm>*!Z|2GuqZNPrEIKRTLCKuXI3kE&4 z_wc7()MrbbX?MK^ywXQ&Ru#s&=q%`Wr%ZkjJ)^kn26It2i>z-FPxENLu7-)#-<3UB z3^-Pgkjo%{OwE>tH>fxJ>z~x^V|582q1>mRL8p8kRY<;JR*DJGA;6s9KSy)lL=u1H zp|yjaPxX>LMsl%Wh0zyivoie#59PM*9h$WzF(SQ z6Ro_ow9tt&N4i9P8gJ^4_!S3GYGro!1!)H5S{x1g(XmOB4$p{!p%GR@#jwOC0gVCg zCBZ5?gw{5)rXyqZg(>dudGFRBB^f4@KNkJy(9OLw9 zFJ&g?`y7bO+IYzLH&pXgY=}q^4CaYiTer(9-d?6O!>IZ30*k5d{#Lb?!jCmORTT|| z6Akqe7U5i5IKj*m_Tw}uXc6(&Svt$nRgjdYpSSfy=vzxLB!OEkWqzd=W8W|0ZK2J- zc*1H7@cn)&*DM6^tChfi((*KjA{5GW8Ai0WFMM`i0B*BMqZ zqFC|-Uj*IZ2Lr=|MPcp>L~eVWg0SvqhtY7- zF;YWmmT$skS?Y(jxbZTcm{{&h_20%St$e5IyHJfl1qH5j_6q5*Z~)?W;!w9av<(Lj zj!#eZcCCCa&5QOhS{Tbwzc=KrNx<*o(-DnN!SV+DW+>99T6nnN(>VjK2Oyc9Z9*+_ zHFi8!UoV{h%GOi^al4o$$p-Id9niw@80mdR`p;FJ2LO}UxBA&n)kau+qFK-1~mAi0XxX#Y#R3`0fv%0Q@sQ6{&iy2-Dy`6&97gBCcxKf5e1B-C zt%z+?Z@KVMMyKgYo8mX&fsFGh5E;U6zT7YdwJ~p~4x#uO^dTVXulDQM7PAA4C@nUN zYQykXQ^?z}Uq^fKJo)AutJvE6<{MKlqOEwSG}aUrEDo|AH@eT7qXq?Mgye=;JkUl9 z)#5YaWeAko#In$aPEf>UT3-A6>TNk&myxj0?E^!l+6A`MLrVr-J-^XT*#N_bj^BTN z{^r~?iH3lYzGf?dFhg_&IxM`GQ{Kukd?w2=t^SK#oj2p07Mxl|xvg{E7N+Zq^Dk<; zhGM==0dH=C#g7H(rNXo8tuD~{^<)wUdgl)6C6{;rvv`tb=-$|`4ARQ74imt$YLnPb z76=&STZwf6h79>cYjvmrs-rws+m^l%cEEr36CrWQ=Si4uu}U-3q0?1Ew`0G6H}~=ESLhHquS9Bo78^ zd8cVP*`jSA4#a%?7F5oq!MI3EkX1w%2DhMs>ZNCzmc5Cp>nk|z-p1;J zX+E90ciLNeeZ%3RR$V-urhG=@=L>|axqIN37KK!9fPM-fb7HFJbyx-JWsXoC+|b z0bsWnb5lp`187vkMF`RG#Ta(5dCc$f0Tx=tNEqhgtj>;3HQQxQdks+JhB?VQJa~dNZRZJ15*V4JdQkVAbeWkZld-4BI^P&ui?9SaH^ zus>|5Tv01WyK7#oyZ6GzKh)E{7GaN;_&VXkSEewfKD@30>Y-?t2)A>z9Vr1}C|`@Q zAjF(K!O1VTsbJf~1ILRB>TC2D5O@m}SE2^DY)a9bu!wQvtAJ23jB#G9YJ=axCYxz1*AS08bEO8{nK!L&ikH11<)Nuhq7; z#x39+j)J*P!w4W}$GHe4QVRS6K=QnCa^M2po1yB*TQxetKp`q?PG*mtT^ zYeb7h1rz~1sUU%-)rhI>QwEyfWURh8xZm0}R0-9X%+owoVh_L~D1kq;r{)Rqe~bm#R%^OU_KJl=}bQ?j?5#2lTc^7|EaTv>iZ?r5pEySd{nDttUi5>k7P+c zAAGM1F12Exq*QgPk)?6Clwdf<+VuVCM2l72%}Id7kr}PS)z_-r)E)mWV@;LEyGSuW$U8#C zrJ?NrzZ^~x{Gz4BNj}iB5I~ed%+mCiX6|J$a+1dpQR<-;i2D~ct_dB`9Wc#;30J8y z%0nlaHb7*}nc8TQY-)*U;7J*%K#gu|&K8j!^r<*B&_Ug+^LOfzaXDx^i9`(4ufKp? zmq~MLn^H}U<7Mfmp-=}B`eBX?S}BvnU~uFjvA$diLF3u7oFJRW-LD(h5i)$!+rBBM z_P+<=Dgxgv6;%sf5%WPv5D@MScBvl#!Q8gNsm4X@ zO?Lie;!)omlpYYFOZ(P%Gd2K>vnj(;hoqI~LTJy`M95VLeFILD-|o+T<6N!( zCqMg*dVV&uMoXvbUJY%Vce$~U^z}lbwlo^GK`t>YRh8D3(;it|PT~$RwjJ*3_5s$NC2|}xG^ZDf$#@od-uXFYr zxmr`=ErN78AX6?U`6fdMMo;-N@Rw(+IsDg=qe>1!2~bNmOX&TGf5U0~1dOv1%6ka{`RS7{Ev4qt zQZBK&wcxg0!d!u279Sq!pZgD@9wdO(XLqX{vZcg%grfr{zXDi_iLwlqx9Vm8UmsO% zCoV140CD4}2TlVQnT(Z2wCV*Qls4799{ykTdm!HiJXp0%c=)3r@2QXt`57XhQ7oOT zHCplbcm25{`Qth|G>0c-F12^m++KuuQ;af|DGUnnu~^>OhB0m)@+|3rlAxZ87h0vWiPk{v1Sa)z{I};4R!? zDbKymH#9fdEoQZO5057k8nE@WSUiySb9Y%&7{?hJ=HDAC2>rNC^vXxFgStaZK9xR& zGys*KIv1Y#*=YZ`7lk80Rd3{Wf=ny29GBNYvmQ&7f$q4O96Cez44Y59*h+1;GQu)X zRuEz_1d@E@#ky!5hEj^a!21pJ?tdUD!s}_h&d$@{c^X~k*%qvu&Fz}m2s~1By1hJ^++O!d)lW@2Ed*B5R z&(6-2?{ILS9}NC5P$&ICRIYO5u-3`zXN=)A7y!97Gm{XPUIr5!!vYR+GF=hd47w-q zC$$vepcMRcV4vrOZdC0)WjvSE@*=2}Z_udg8O84dcpO8>1%H6Y8UDUJPWDUqoBBXE zq6qZfPcnoj8Hpzu4p4mj_v1;*8T<{@7zXI%l#P#pJQ?hc+ea#ULWW&E%At6a5j@J_ z2Y-|g`vSnLJ~$GiK7>&p{pv>zjf3acH04Jy_(x*!M=I@$j`*cPhsR|AAIC9+A-Cb-+Rb#{0c=!Fi`r?$q z84vvMn)65l>i>ROU3<&=*dD=`Nis*Y8wIOJ{k^+;=IZ8ZWnNERMi> zKMefpYX*2tq(0NlVu`9!wj|?6QBTWQ$?%eqwn`zT5ATL+0ec$oBd<0fppwSGxO?xUT=5}xVUn#;RJK*igQMiqvKBQ9{q(fG7Gk7JoEAvLv(*WqE<-`8p+AHMte zo$g}q>LxFyBr^RnewQw{Oa0R%UdI!bQ>Q2ctki0aDmGvmYKUui7ixu50Sn8sIbICsZQLX6=z*O$g)U{@GCJ9bAx7V93w!rWt;}ezSZ5+{6GD1Oe20B1t zk_Sc!D(YR`7FTbf1`1{?nX5CLuzA>2y96)>2gcjf@-paffze?Qff_x)t|@sR0Ydj1 zz0shU*dC}yV`#ca;=Yq7!8uGzQH0l+9+`I)6$uN8yv`y0ho=do9AH*iH>842dG{_& z(`Z~wC;0eLyi}XkX3;M4VG#&c?c+zthGB|=`NhC4C`CPf@8f!n1o5P)uYxAvXI_q~ zhD_G3EF_o@=_G(fQf8nbtl_-0jAX65t(pp?aY8gxl#+Jqrc#l`_HGtMQ-M1-f-K0t z6ITG0x#I>4byU@osj|KSSuhpooAQSFbTOtv^8EE;b^?Vk++ zH#5@YJasFd>5()dzlkSA6SJ+?fmOmkdgXxT8x)|N8n{}+d!4=?@bk(^3jRpuT?ZI}Bl6@xd z)cuyBqDlK}#P~^FS3~{P!Gp|gln7a^wv>8W%?)Y+6?h06W`)-I8Y+|VCZr1#30|N! z)Kwc>N|t&MC_8*ZOlxjpl7>v*-UsO1~1(M396XaahX#5z~D@ru-&kvf^r z(AM`?M`?=Yo?RK-p-USs)<`oykXr4VMsy@KkDNVbJHhb4?Q)z0$F(tSU4|F+L1zi- zUlW~Qp`$d(s>rhpx9NjZ#Q%jEjki<8G12Ajhizkjg!WLQAhd?_MWu@}jwz)YJ(Tr% zG1YxN-BvTMUV_s+yiU*>foku*z0W_pJU^$uQk}T&Z(u+V?k#P=zZfDwu`vi?@sOl9 zE+gi{a%Pus5!htO%HfXH&*(XAmjA#`fOUKbbYp-?V*N23r(wbSr?M^p znwTqmW7qy7dm1Oe{6N&jOy#4|QMI2MR7|e&l^Vk;x#5QT1Z0OlfbpSRBn*GphlRSa z(4)fNcX&|o6n6UBACo5(*oh!;v}Vx<#5>h?EIx49xc-ligOa^oU7uTLiALo2pxX-# zpKoEEW#Drc+bj_nQC*GNRnpcgw5$un(8Xby-oPx_YSJBMVJFevU-c|F7|TX-Y=Tn~ zeqmf2rn!$yZ%3RJ&wdA~kKut<YklEBFhqACsFVIP)UIyNI^m*{#T=BIB*W5_Bi33KjykdVP@#!SQ@G9-YJ(_| z+F|iFUM*vNR;baH>QLa(UDAKHj4lUjiH<#egC)wW4w;9`|1~?V8@L%P-SC$F&q}?i zO?(a1tH@`rt-6#o`!2xF0c#Y~7K}W`v63MN*R{SQa|5I?DuOrl*^L72Uzu=e&I7K!-o@m9{nm0#r!b*}U{!xEbp9t}~Nxs({^l_T3VZ5~e+15JAEK_Yyd-$FQUz za5gEDSSwe-%(NTMZapazI?Bnd*(XDVntQq$5Q{Wr-M)c^^!hZBh z**H&td;2B@rq>SnfmxQLNpYPjQ$y`C;{uqhGF$k(*)r{m^UZi>vEIq`I3;u*+!**Y zpa+18GNw+w?C5Gq+J-NXa0&hrXsA-np_6NL4Am)d{BjE+Nf&quU*~wFgGFl$4@r(A z`!|bbt`4VJ)ke9Kr80IoMi8oTl0G9}4XhsC>gjz0y?@)|Gy5COJ_rrt!u?kN#gC%t zkgS!_7!Bd?kCZosyVA`kL2I#68v=A#2Dw@#mw!(?(R&Mg>*jgBU9WoEP{?#k`yvJ}1Ik zYiE*9x6ojz5(of*pq5c%Ihm9D_A<#pAw}5~7X_BIMV}J(qN9Bp5T@=TP}NlyqE^EO zA9Z+kOa|*84Y03-151`*H>@HlZ32(p#Fk$my@^m85oI;`WU^huHj%GfUL#5kXlaX? z=I8}pK2uXI17wbODIOq9%3HDXF_Gsx1NQ=1VgLwJ-1PFMQOXd5`PNa!1#Ox;3Y`U8`12M^h9$ z)x6`{xD6cEE* zM3s5J`^Skrb(#xC`&Xf|2R-A@-thsYFf-hCyoR4%rgO;(ATp{E$} zkEZI}5Z6lGLBmf3B^%>ZyO2T!@uikzwBsf`*(LUZm4FZ!rh#8#!Ctg?`R1}8t)LEA z8HA9Q_CG##fqJ*!RIC_1Ft4OUT|PKAbTRREHCaTVU6_CBO1l3Ai;WQH{@J5mfEgYa zgC3UgB|_Zr$`eZSDeH}w`$Vp@ubqm0=~dJir{VkbJrp!0PKI@So8|E|+9NE}E7#fc zu7Y1CaZ#jh6rCT+t?x1Hq{(ElBHmg_ujEwu>uKatRNP9-=w+%7-MKP^U@v?TkMn|< z2?oUXbN4TOTur7pMN;m0r=}A~!s1ojbkwF{e z%0OOX!kl2P-$d9r=Lz)g!;=wx26J>tKb`BW#JSbT<&;E7EzZ)?curre{vTOYqE=Hw zxMWhLnoM~kOoh6X$FJ_OnjY%zU%>@gADb`{4miG-TTHQ`LA!R7DPO8>a689hFxuC* zkbA>@;}Svw7f|w5Zra)LL|7;f!mlvGpob;+dboX;9lYF*@n)=}6(wuBGL4ksD^`7W zTVTj9>qigise$)jZ#GzgikGNKE14~BsZ0UzsBx1(8`GBSK8|{Oka5vCO?@v20WQVg zbt?~|mpa1a&@2b2c77BQ-3l@(YrrVQp!Sx)FW#pU{yN_z!6Z2TVCf!tMJ7_Hm*=)- z-^KCG-)0Jh2efTzGFY4PWiPovivknCzXrrT#(*U3I zj`Pr%-C$!uvW$7b4HCj7j&zH_LEHqs zT%=h%O|tbOjoZB7#@M9nx($TD`XV4qvowff{$rpiF(MQcky&sK>D7?19vvPunY$QrUNi48$>Lmcs_e z>I?u-6P(EBoJ+syW#jcmt(M~|qsB;!-Zf}N1R>vdf9I1LKeC!AQ~vsNJ28@6HmC?4 z{q{Cd&MdJvRViBb#4e&1E0!lDQaCV--mIzA&=5XllW&W0KZxR!wHkIyHUy&Ra2nTi zH@CD_ou2RVSbQLi9^j(Z2uC$4WkJN_j5xyl*yAc+rYmPsiX>B(C_uin;1#Qa%8Nbs zkT<(?0B@+hcRzZ8$@O@pu_L$2JsIb5G3Bh<8)i1;hl;GMucW%C7#2k5!4B5<_XsEk zjsDOy+Kcw$rCP!zyz?z@)s}mPR5YRJ2ynh@;#(5oa0n7ZKnHQE9G8JV0W^l)S}Ap` z;|FkH>c98YXnLX}%>h(su2C$av+hzR^k{l&*z+QdRTHcD`ZgM8Ta#)PrvO4gy}zJS z>Vwj*1K2UG?q>Cs^vZQMp;cL$(y zCEUk`A(Nfjt*`s&2=AKDMM*2YXXc3oDBd_%ZzxOVmXirfS^a<~GX3dr=Q(`mZ*bfO zp)6!do|vCU-p^K+eH4s!kz@3}Pdr3+qIob4Nps4(zq+XJN__3`*tHKV9(4qy$TcJ3 zhy8sS%3Z%vS0kW$-J}OU(h?fzPUb-#S?g(rZJ0`4g(t@`Cn|Ka6ywl=>G~W{ zm--;NFa7n8iDfe2A43ArO2Rpt75I-CxMp~A!`_ZG{`GQRww9L;Pdbd0lcIc|F$nvu zqQ}wIikxdqMd`uJ9jhE_pLts7%qFdv{9g(O(39NxGLXloa!srP!n64O{=DFSm ziDNI&Goq$)4c~v3uFHPt31&%5F%Lh{nXKwiU0w@d{m|ta>apG`OK4Iri4kuqfoWw7 zs2Ld!_mRqqL>hq#s)Dk*U};fPq|d;{tvPiHWhlBJ3MPc;@jYP3fMTXmX8=Hlngbe` z*`oBt5#v1!gJCp0#$l4M@yh@&xjCn=lMunC%`%0EHuFLh$w|3GVwdU}BSi2^VINft zF`WoT)I(|=xw~T>HiHX%k^JQT5z@d?rT{3B5BPNRkGmwlov`IW&*2T`=z!ku7z1{b z)2(I42&aQ!0yntvff(TvJixrlY!_HwQ9S(NJ+No*Risc2FE=6c?*Y21#JAHL(q{E{ zZmHut(xMG<3)w>xwyY8+|AX@QyA~(}gl9e&U~JQ5!PJ*E5O-<+Lxleihf%zptJeZh zF+yqnl~4S@*&AK)U+m7Bug;#6{peBOa1{%^-*Z4U0dZ`ctrxLY^9dkWhzA(90)62z!n$%twJ(OH!@ zw0;50eTnqgUxS{3cpOx9L31I9!nW7Q6fsgU2?-h^@fBk4M#1hXxk<829X#rj1C`MD zT^b!8L`x&57e{-*;+&Kwi=&l;TxwvRV#%ySoz(@R-8@Wrm9E!e^$lzpb~L&q+MC2{ zATw^KbxEYC(^MJGi-r214mDLevw8Bvh1PL$mk0l@PZ@jH(hzVq1B5$Kcq@$mHV z(ZORfE$;p+0{rXp2g>#~!o|$B&N2ZsXOT~teMU0af|zoB3_U#KR=Yl1A?+INZGbj_ zc$NA?U&gcaC^gv*ORJRt9I}qn3pEdrfl{mN70`J>xbiL@5QTUuQfY$yb{b; zPTvOj7|QWII(QWAot+)^k&WGCcGQK2g9d_S`P2-To^xFA+-oj-7*zPdDr?Ep4e6F0 zMU87y3$Xz4YRDp{v&7J@U~;a?Ol({dYyx7m#SKO})hGEDxzh2*)>jMDY}J^nlcc%vyZ`)?hU5;T5;SLjmqUtp-6%{52n#-|g+6wmI>uFGby5lrMkdUt zctyKyZ?@fx^DK_8R3jx9y1j@u>V{RQM(+L^+ik=Znmy*#Jp{MC8(pdGIT$5K5PW*RTP&j-5-HK6I-Lu@3yTn zfm4I-uv^FIeEs{8uF1Woum71k38=x}Q7zv_>=HIQ1HFKuk?=;GwfkxV>O@e3%R3X5j=(8w=m+eR`E(>wLMA{~VDpGe z*uC~fkNR?0%8EfXp{9XZ!A)Sd=Np;_#aD6kxK6FRNMLu`J99=v+JfB&#Md{Ehc0R! z&L+ubajM31-0!(?gUHLcw8Y>{(H(_ODq}H?`A5YD7<@LYUmXn(ZH&4xU1Jh7?t(?J z@`0|t5o%CsZBlsoAO571;9U5Vua&!G%(sVO3;9@DS(@+I_d#MZ)V&dG#fNYj9!UbU z#=}aVlcWI>FiD|c!%?^9soIum`<-Uy9f16!CWZE^qP(-&z1UBZ;)(uKgcbbUJid5E z#WdQ-Wl+Srch+(%y?(XCn+5$=QWI#(6JMWbAOA{PTP&EsYn>AwChL_>k?of*(v+c) zlL6v3Z#2P{^xOUd?zz~mT}fj6n03uGO6gR(G1ugy}kcB>M$wCL~&^vEPOsXX3 zOBM+B{5cz%;-xP%hx3)g&EQc9#nG3^YE|B5*YPTiImQP!wbLFGrIU^a3ffPPoTPf8 z*ynXtwId50GAw{uIl+|ZA~x|m$-RJ$+60=q9-%LE6VkuH`Yx)#i*LByZ&kyUf@p1%AZbmdNH+jW*T=@R{CGRL z(lely+X%zn#U4aowwu|U7EuGkm)*vZ0S;@NTB4`x{hW)B0bN5N?@J3@O>ON z`*BpJmNkN1t;1%x|LB-We`~)SDTFS^?tB(LQrTymH}fnB5}Yte<#?QA$r5dsa$+Q^ z3vqO@xCbwc;N-d|2A=NtCVmR*=I83ce@ZI{{}WETpZEOkK?hGw5S-QcYVUs6a43W; z7i649m*P1}>1~LAYJu_oYEaXDhjyx^03ssOemn09-%C(Y@VD_+=zYZ8)W9?$04X^6 zN1cFlp{F!F$@tM|U1$eZ_h)c_F#49YwwJj=cXV<2`Qzwi8ZT3|+OmXeay3e{4L>od zIYRLV42}T*L4nJNAB(zgZJIt_7IV~HX!%FSwy}>y_r&Y9noIW;CMf{pdEeHpP}#74 zN$CuraaSnHnoWTOE7PLJVz`_j8Qd)#8lA2&&sqT#SV0|~3Q4L_AfHBnt z)hv_<{IME%2uB4R;G$zo*-Bw320TFyle_1iG|@?^wRe?B5-GhBKFhZy&<4JSoCk#V zvuuDMhaxXqHZ-zz@vE%74&Ek+qlD5px%RMNWN(!bo7`4l0~%M$rJc>jDc1`FHLF?q zrs$G?bevZ#^@U9;U14sMDuU!`2UiT}S9{JK4~{7{bWANA^ZiW~#X&MI&Cw!XM!1BQ zyPhlWZo1DgSW$I~qbcZ(g(^@v#v~kNc1~hbjcWW9Zvn`PsZf2YZyumtIs7zG-;M{W z9iAPZ3{DOlsxZJuK@JsnBL^#mCqTGnZ{OatFM(5`YASwIHP^_SZ+OCSv(nGlD2epj zw1+Dj&kPHDb8}Iq*k)yHxYw|eMz7UnS(x@1gQ($c`UW(=0Bv4h#Nz;Hf8^jFnV!c4 z2MV<>Y>KVX^Fb*j-R;+3Ka21WZcSeGvCIJx-xyj~A#-jhs%j^uR~p(2{<7PrC`+-j z0k@IHi2^fBTwNJ_1-T4gNF770J81ltoT+EhdEH-H38U9wzm6U~9u8r9{)8-90bi*@ ztppbUz^)Q5KMz%4XuG-^0DxyHEp`F8=(H@A(`bVOQf$FphV#b;*&92ULD+IZ6GJx- zwyIIK3kl8>eln+DNDT}k!>`i4TWmVjiG>b59jVRZzCA(eN!{M5tGl~TngSkDW6gDs zYx&GLwoio`8gpBS=Llw@!eVY7b(2fztxjx+qAg-f<*do3zCi~BGfr2=ZbX^3(5DN% zhBe%9Jho7PyPR*c8HZ~j(%WmRyY{QD4LxMPIsy|SN^YXtytqO_$^A(GQ`5qwkV~5g z%{cyp&*I>tTJSj9f_31aO&&+RWlF}xGR?ph?aj6Y{XzW)h+L={AL{>(ejE)Sp5mqb zA4M~8JeU?U_oP>b$Y(rJms${H0=v??M6>3UtoT^W#Ol~^>9lGZ!<+Q0NVpZIf^1uq zw%$fr^&6y{E7I>0er5>`Z%b;aJxnmrMPFS;Q)N9W1H-t7OlHraHTAC$k&j7SjDa{X&EF}X+FoHM$h6+X z7>8MsJy0NBMkA{hN-jy}vt+k6`C+KB13po@TEyd2eH1px9hkl9^XX|(M&KGF+K6JW zn>u(sbXhG2xK5V-ZG6LOahW|xnQ}8_-z8Zxkzi#VDti8cu4o?bWR}&I=v>6B7`W`B z=lUe)t)J?vNUw34usozQn3g3L_UBAH$o2q?c}ZJ4zAK{rB=bc9hrF5zicFGcWb}7y z1hJV3Af6?#b@uX%{_uq%3VxBUG;ViSMqQsWSU+x+0@;7syFXvSFTVEpWx9}!d>GQ0 z9VuqpB?r5rf@=tDz6VrrtA1oNolP4CdUt}GE-iY|^jFHQ?-EV7ar6omWf-2j&bG+f z0q#Lb&|Hhf9UYMsHQ-3z-Cqb$f>+L_N+_pYC?qePVkG#C#Ah!W)MI-NdhgFcS{mXH zy-(qvpF%J~LvqOuNjH_EZ#6`!RtZNmdRronMYF7IfmFVFaxQjIy#oXqT`%%vmA+Hv z%SyLtq{iwRw>zM|(sakp9$W<_cyQpvD_!Z*>L1FsoTkAQ9Q_KcGl!>^SEYh;3dW3r#C-Zp45mUbfFn~=fGLmyj zX@lON7p1d`=K5X1K@+Wr9I*YZWOCTYWq+iequ0|&4g!SWTeH&01uY%a?xw>gR;JJ! zTRLqE`v4sVnkP%gfR6EaB1U6a00wA(lal~Ts<~6+buCXI{AT(5?1=_bQS*x778A5k zCK4Cq7(YZa0Tf)lX7{cl;rKE~TqxK50KR63*d^~`7zcPF)F$+&+)0gdBU`(V$@7iz z2r=zfxdfKOZyw@U)z9=FT-YnR?zcVSyhu%K3gd~6r7w+pxYBW_Cm*)~osbqM=$biS^{M@py`qVT^}*W zX=FCAF=X0MQbWw-G;Cx>r}0mt-1ph*WfBBRAj3q z6>OOJqukmIOC=AjN>gcW={FUQ=;9CxB(<8}3uUP!MawYsgaVg^zQKSaXpfFJX>&n~ zGcJ-fRy%7Pvcua3T`$)pLN5|yZ{Btr6mlbMu&*9mK41jAJ#$3|I|$laJ}h)HTRE}x z+#8@Ett4nXAG6#&XvDG=+?TJCQr#>rpXO6Sfm6EN^k{>)dS=|i9SzuD;93|!_2w^b z_1PIE@noUfTPttRN5c@g?1ShT7of-luYTo}IVjP%1f{^1qWovX;te?ZfFc+a#c5Yt z2SGi6y~Pbs#IhY*gA z8h>>1FKkQU_6Cir2wI)a2Rukc5;eykI^hbIxQ~0k)0$A^T8~)hqLD*Z`7;RzEy8yRb4v)mr3yRdD;qcU_@CUEY0bmx>y0R)&II`B3G`?4z>BhcW!RRM5O}LaE-Gmb zAeV8FA=q@N6%Fp!v;Rim(IAb9M^e8EO`~U3=i(wwt|`1rK+dw7>4PtV*&@aJVP{bF z8|_gq(7#dE(|x;>OA!V$;+Avtv7w!Au#`;}uq3evzlJ1~L6#A84Ozgm1wwgtBcY^K zN%^6$s^yn_SC8O999hQ~N?DNF@Ff2%$Ob)H?oRw3Tm<6u#Kw*@{nh+i+00YoDk!A z|Jjd8y)-NwyaD3On4*P+L+(#T$x4=!%)K+EhwC0=m%+8&f^`-GP%;9(n z0M=94t+qC!k;de+n)Me!)ln&w;;okW*PAPxd@rBF3lB??V)Q*BS2;fAZo%lbiHmuePRD*NWdTz#nNEt z5O~Zja}OX~^p_``uo?ss-(ZDREOmyU-3;&TWz&hJ3=mSuGjgD{uriRtCTx<<&|9L9+j04??kV%{$6Ekwbzvc!x8VKY@JptG{v|x@AU)`5^ zgz(rXBvMzAYtGaVeOevM31DyJz(#gpr_R85oAGSf8S{OUMO%1jF2^z4XI<~HFfI+J zahzsUSGz=%0TZ{O4gJrv;547WHBl|CeokdGFp|6?${XNTUs0+PQ)|)Q_NpJ2*r8UL z6@l-8zkl@;79ht4_MObVjDahwnZno{sMV35M^-~wsOzl3EVB`5F)AGcLNYwFMQKzq zJ^D(IjK@@ywGu?PV>-K-`_5yx)rpEExx!#=b*gApn#2f1QSs`&7?nEiV$vb>hu0RV z!^}i987IjY_OCb_ld8*k1bTzTtyOYo`|g$kw+Z67>^WdNLRiDc`07bE@FvO;xSnv|S*#z5Onr zkDuHY^V{zr4iITvd$;3`;=b=&e;>*chz-ukL+PwjPX^r75!j<(_lRQS$L}W%EwJEn zI_^`1vP*-3>J(RA`5tX{En(^0=G{N}ai=`ENxD6O-0zoIBpFjNMc3T8jQ)hhUB;?y z_4&+`mEDSZ>LSFCB7l1}u>X{}A-g-d_#w?wFbCjNV=m9))qESz8^ZwccC)Z$0TuiP&lO$O)XpxYEj6vlSgaH6Q|sqn$Mqwq zEgCE@LQn-k9IboPDxF*fiSwyk5aRksxW<=Rq^#iFXp!04XX!~|wcICBXRt%pRDJ-} z;~@-Ja4k!LZhj@|;RnTbMP(L({s@87^>Wp97-#3vnr$PLQ?AUM&~`3Lqt+ax{^YQb z>KU)58L|;(E+)gwTW=RJ@zA3tOk#P zw_&XQm(YUaWH=^dpQPvzKpllEd+1 zYE&e4;lFixgZWNMB(tPs&xh#OibT})8`g$s=vm*;(6=WCQP*`)1)`y6zCPS>jqU@k z1fo$1G6q^(pYfj3*~@R$4q&7mPDjI|sg)nH zvRe&0iXEWDZJSh!>Hpjbj@-@RY9MEm zh6Zr_$!l%e6X@RUZ$zmtH?)@6?((*NIy58Du^A zjtWww8mSGKG??@^R*-@BW=A6H4Ihm%Hj)9%r!_pNg@A&TtzHcp8$A61gU@lm|6ANf zAPlOWykh=I+=YNkfO%k|hZXZ+bYdmXH6ww!H?$ni-+U=rmke4^I>Ss-h6INooe%*4 z)+F`Dm+*@&ZF;Qnn-}ag{#0Bm7_ZlAeHY6-QoSkT?KT>n9e{p(9sQe|z!phH0I6w{+4)A}?$r9p_(^3nz>~=sv8_wlH zZkSHWQp2Di32$959@tQQF7#g`F=J|dO|W(z3NW(F@RTo8d|Y4HsdP)^Y>$j5j35Qx{nrm)AXtC( z5DgV$5%(+RkrTh~-9%@nYGt0CM8fDrWDg_)(7ro69jKpeZM-&z`_1;S4#;zHxjLFX zyV!>1?HnivFw4vOVEtP->!3teJ;7*LE1^bTgmNu7{NP0?`n5JQ?OpXkYFfB4IJn88 z0HAuV&b0k#ny+p_KzbP$s2P(vS5vgALYWJzw=LuzQ3 z$>L}it&|)ubwM57R=vU6U~g$dOIFBIa7b@MZ0EEFDFs)LdfT%&0uswyADdM^88AEI z)h+BSV2GtaQ#*4wWhx_RR+LdT4=_d{w@kA7uF0Ge@gb|`r_H%p5iea0V`)ZDkfjgE@I27wl$W>vUn&5+8JgE4?ASK#;Ex-P4gR_ zaIsmIKy3cP;gt;rW#ew~n;W!0s10Bn2);{PM5>pXc(cpBP?t{d54e zv_7dzM7v4L;4#hZlRJs3IQ$28lez%K;G$qA7=929^4X(D-VV-?T;95N*_PjX2(O(c zq)8YXa{ShyGR>-P-fjyn@5Ik2y2h}23o7XD-~UL~W222MD3A@Ck5?lE@Pig^(*}m1 zMuN$}DN^U^IaD+PW?^Z^S{k-GUL7^pxq~(W(9jF4C|A2wrEWD!wbi?Su(8Hd)*|__ z6&KbfpsfdJ)+#Umk;z;I%l46kUcJH&kt-gDj0YLRfd;2Z*qcg$>T7^R!wvOhW(FXJ z(xO5RT}-3b5MV0d&uK8K-K~yt7e38g=1yLUs4$hI2axd)Q)lt9@@*eQ0sblh*d*Sm2>wmnBaOK0x9}6 z6t&M^+%wu})AlcQ+I~N}4OKRsZ|B=`qx@DbZn_8iX5AMg>1Rra?rvd6#o=iMnBi!! zfb<3r3b%u2P?%DzARU$=5gbxo>^*z>rXS|@IemO^5UrQWZ_(8(MDv+$g0wxpzlayZ z7e|MkSc}oa$PI{kSOBg-yP=?HUqhPrAgWXs6AkGJ?9L+O)igECodQ?^eb_;` zpaT};zx(m-Sd!t{>G9z7L|{pLlxeNzvK<)g$AT&w&SzZ+s6K&xq0_ft351tGRGm!J z?A%M5&-c%36!>bnOg%=|CppG9FOp1oI%<-G)UM%McUA5i9vtC%7}WsUMEJCJWwWr6 z1iHKH%730Fbi#%!Y?mG#a8*`sXYzz00Id;aefR%Vc1*cVdJG?(w@jlRwI7}AN5eUOa+8%X98gEqYCi%5m&o9&j4Bn*Xtvb);2YTW2I}`Gm9f?Wk zGVLz4XoBm`M#D#EC$RiyAN%g94Ng>??h1h`=F+#omz)7@64r=L)XmEKL74-o_u zV}CPGOW;C`vtW&b{goR_Yzjq?$Z|PAQ$JRaK}I3P$n~JLEP*ZNoy1!vjeQjwm|bL| zLWJ(2wTm>eNl_s_-Y(Y^BkbNR-{dvbP$Yuy!>bf&nkFXk2{onpeS+?Km$z{DUw`Cp zv^ACK_KSs$xU%au*aK~Q>auQ6%^3tmChF17C%-dnSqa{_ZRUkjueRS%t+u;$cZizm z+S=Y+N77anirTAWa|7yWun$|t0z7ryr_w-y{9SbPc=$+}!+3uF-bcF|dEGpYPPp9$ zh-M2>KO<&v{uSPvM2gy1IBfz_8XGZySooTZDJxXYy)~W)jz9O z`Wc-G>9j$^W|^zyJGq@?#K5_eAc+53#_3h!CQ=c&2IbD0fyeeHO8{_)exM(PQTGl0 zG)A}sP`-}TXfiH_2L}g*hK%hl0D}Fy;&pCbM0|4iGwCw32f%s?BING~dho}G zx6I>pG%NC@&WCZgo>Xb?HxEx943CBo8le9&SFol>#tbHn46OB%9;n{oTLX=gaQC}f zctP#Vdzeh=SIH3s-L${yU1D~I(l8=+A(Ai^W+-G5&VkK^R*ZqCu}^j#7su|6C=RSIyD6AvQ?m=wu=V1^sMqTY3(`B6tyO3Pi#ujEt@c zxQbn3EBbg`+CE{b3S%8@nZMc*PwoLoOI`amUa7ftxYl4HgOCwKtNYbt9y4S3-i4dF zi}uuH!iA>P=8#dAf0d3WGI^h4{7#cx;<#P90=d0{a?L*L)^I)TMA=NMTzBgGdb;(x z;FmczWh12x3~L4nW9Tp~F5R@Rii7q)@@Q|pC7llKG|Suu1TgtrY5Z6Q)BSh#FA(^5x^pOBT9XJ={TYA<*jXWu7?3K!GR2N%m#pLoMuK zfZj@Nv(sd$-UyO-AY_8wAnP?%1!rz@N**wqL320-JRU%M+tLr!AtYfL0})z+hMGap z>I%EhZ^B9Fn%STSafyfWRkCA$^49MCs42Q{KcHOIy&n)OyLV4;b8}yJ&xr%5HfbCq zUA9y0&{XNDkwWv>DKCX>6Ud9!iO!`Naxz_Cj}K>U%;nt=6HCy@`H&ZaBBe$#z5X7!4C27<@dvhVxjN z?ʼng~h${)v6|I;6b_$xh+zP;dY_rknYmGrTBkvd>uHUAssoi2E@wiUr7UsU#Y zs^l|_VeR8Ew3AR9>^2*wo^-b1-Va#|Mpu{-7lo`5m|R6y$!c{Q{ZKiz5T#tig|hyx zlU~0=!C-|&vr;VRh5>3T1gZFXc!067gZHQp^yU_oTXidPG_1Vq=WOEX)qse=?*5rp z@}QOUUH053&EPYj>>uaepn9fHoX;IN|L3rU%so~b2h9Wvk^X?bbCvP`8(;+LN%%nJ z{%`GHxeB>fTf4Pl`nFEKP+Em0X$oTc!;&X<$z0#PriFa#_ zyqFisYOY>CuU_~o*4kt?Mcb{t_<9~ajIhabNYl&{t|x(IA|smEocU{@U87G=d!AZ; zfArU?hMGCg**ru03kk$)g-Lo+=im`!e~tks=7lrx1>!4BR#R7rK^PpO+OpBw5Z8rD zFLX{SCYn;?akw?q26K(&=L4{5;h>+XeF%b(>yY`c9%G)kl#!x7lp7@97BB4~6%u@% z*v#%(PWy1I;YZdJ@n#h9WFxB{=0DpW9Lx@jReBYD7mthY^d7qqjE)kKhUM6oi)2PJ zfnO)nRZ;?uK!1W83=#Y9p3!DrFqy-*ER-(e$Raa}ztYmaiEr;UrW@GYzmEaU=S4CX z2hb*{7#|v1>`BuqYq5aH^*C3XK$gs{E}UGr!DldF9Ri@#Jd+$+-IIxH9{8MF$hhN4 zXaAi#PN?dsR8#rTa^m=2=cKKOp;sDbGz^<#^;!ceh$s1cnqvxYAG(jrW`?F}e@=}< zhZOYi^yKVAlsh=05nSQ0Z|WP=yHo8fa`>yp;8MLlTVq%yp=~gxY}1n9yH-UoWTn2a zqf#hQYX>(JOV}`8xIluo1>o^)tB~+MBM15RR6C*H^o1!{PN29!|CFY>#^Ko~o#-4y z#{IcIkzNqYokIr5WrVJi(WFX>vbMw!NvCddC+YxAa1H}YVYpPhxeZwzF7AuQTaXnZ z*>p7+n?@{sc??iFwvShAfda@JyQaYTQ`}UZU^+$}KeVR4WXc>v({TRaNwoJ(Uu|R; z51vMQ--?Q6E6Z*&k9+5|SM96Kj1oQSKfiJ68u}4bL~Tp|`9O5oG;^Vwd1{;a)@_Co zD3G5N=Q@&ib1fS#9^rwCw;F(_tG)haTB~YRhjFohakcvAsoia1jOuO8^kN?;o127b zQ?ynX$?C4AftiqG&Ms7#&kjx*YrzqyZ#5bH5ZkHY5QkVd?nxX$FK+GhQ{Ws-9{7;{ z4g8Rn3AnUs(*jOY@HLHR=T?};QRT|$J9UaVWu^|PUlxx!zZ!7RL^;zG61#Bwk$?kc zXy;Xe51wkey;3(w_Mtjg@|#uJmquV^_z$AbWxN2Egk*kSZ#l<9op*2PZE{2BeZE0f zieW>m>XClSxm?8E&_XSDc?9?tREv)z7=r6Fs$PJ6QwxXh(yThV#$IdZ>QDD-OH9BN z^htrM5zLmWWmGD+u1NYMA6~f%l{N8-=qk-})Z3(NIn>vyEmaPpXegFSayWg1&F#^T z53iPBqK{d1Bwnqy?yFNT=0=_E1zVx#d;t`1uh8`n7nuB-xxJqCc!H%cKY(xZZ=jiH zv1A^@f2#_s8@Q@^Bf73@<10-GUXkyHbvYy&=zY54SfDHRg=0Lu+^cZ>!W{;}Y+paGTvmr}qNaivcu=H+O+~ zdB!i~bS&_dQ^z%FGxj(8RSZ7`m^>VQ7%3*;`@y^F0AyjUL-l1fK@iBqw1dOx0phKSb?R zH{5?946iY&T<$e`pD##MyFj{8`MkV*Is*Q4=FIGU?W!%j*crcS;yxP4da+28Sy{!i z9s!>9&=F*bX^EQ!FK&g0K0I~2mhW+q-upZ)*rP5uyySpX8k`oQL8C5Sq7HdDb3YTsPs6jmt zYzAukA5a50z0+_rG-(Sza9NlydJ`Wo{sFu@iPF7y);q)~$? z_cR5EIm30|+XdHs*@)?OdE+af?pKXI!cH6+$CkMj6qOIVXiIzQ#8um*$wzG{xpAEb z8QZNK)?sglb{F)xn2#O*VdA<-L&2%Q>tiy@uto(}jDfWo256=bqGcn!;Vyhx|9juG#} zmo<(-@9Yu!jFOmIjcd z9z9QpINRN55u(p)g|+rt2=jB4wr=IO?@ZlQ)lDvC8}xJOf!8pD3Sj|d+q;Mrn@Uxi zeUXm0;7&1G4PtR>dP3i~)~Hmcy*dj3Vqz}uQ-aQACc{~7#D~)a_`v8Cs~hy*9fXb} zWV}_HIDihn`=38*j}PmYeO{#Bsl7OQtu|Juv+pKYH=!@q1|Ewot#jC(muoPJ)FqI= zZpB9-?8%x&x*El_r}`P9$pVma!c=cs*WA^!PSR6 zSxh0H6y*6b2@X1LU4$89%E%-)!$OGJ6zPH{N%OXHh7gs?0!ZHP_tLQae_BGn%7u$6^=cUjpcVsd2(ypiCz!6o_ zb5!<~XZc)E{b#p>MV!qDC6!}s#|`+CeWwm{oEB=X_5hbqF|g>j0P|8k7veB70qnC= z02M^gVh@m>x{U?7$3-&31Cbawl~pidm3KH*)CDQT;MlQFN%MdY$NKth*Z*-ci*Q>X zt17$#6;36jg|8~xqCE(tnGcO_Uzk@~(EQO-(o~y8G8e+78m%SMI()$W#@(L^l#59X z+bVFfCMzNU$y%S*2-b=sF-Vde9NY4rmHj#-xF)1vya|=mGxxW0Rc) z6i7k;yB}nm)fAi7xmS0-N^YWWfuID5yO;4TR`z2FH#`itOHngcy=dEHp){QkEdWzO zx2#gF?vF_#s`Q$md(}$I;*|%00IK{oh_*r84t=OWx>8FQ7Xirns^wxDsPwLJgYqKqr(RyM4|o5)oh|)T94?2&t5Qf`Lu{I$ng)jo z;RMFo>9l2_WWqP4*A-}+LrBu5*tGYQPw=U-PFH0Df4bm5kqjsN8(pX}H?E zYm(RC2yI(M)w<4lp?8(kS4RF*-5<7>zzi4nhHGHKsvHI*b689@l7f(T*Zm&FI zAM177Wu5`X!y$n!nTQ6=Y-$;n1txyupV5AUn1U`T)es?RS1{1+TCz*tu zAH}gE9y8^NT+QE!^i^>=fl?YcIit70t`T8mZ9C1355s;ue|3~ z-*}7|P3w24Nd_eZwZ}tZK&LSGmYgLp2~fx#qV}9_^|x?j$vU4bYVu-r?TR+(`%WgA zmfUE6V&Pw`@?x`iNU#y}&=L{Y<>{x1I^$qySV?ps2m7<_=-_bV&jkMUaQErx(vjZ@ zC8gG6dMnp!t{UD>8J07T)z-2A8Zhq1KrC@_K|~%G)C!Jp^{wP%bvT$X`7?DYE^0kc z!)oz&w^n{&&fJj?cBMW@k7P7tSW&9pQy2`0KUrU~A{yXoVg!NX+`7SyV_MWhjRR!- zBtYaKhho#I)nRDjyD%b2yLiz=8F8r-qbFesO`B)*jDtY*rhJ$H>^pW!uq2|wLNDYw z23qY{bF+9FEk{T^f2`;0?k61++#r|Un6T@T;=T-~xBWxx1Lae_;+s$k)vNoN<{P8l zC9|l%k{tDAFhBi=aju-?gq)}5igGvi>@fA4G;`;=4r(k+DF5`nkk-*@6qDr9@a%*{ zM*e2E`VbEzsDamAOGPAMUn98$_9L$j$-bchzsNIG2X?ps+abC-9~gjE_-ueu$qsXh z0Nr7@A6K!c#{?-ggF<8|paBb>MSG*OlfGuLQU9$uT}oI+Gn_9*M)t9JdY`6s3+tw@lo_cQ;<&$BPewcxv4{0 z$HOVX+(>+yEFyi?%6}0dm)>5i=26*G1cZ!YHB-s9@EL)pd691xx6xHvsMiShz$*VM zoeT(B6Y8BpSQ-klF0_S!GGdG$NcU0`u+%KArr|ANCX}*1c^s$^b(Nf{LKNwIoB32( zI?#bds+Z*h)$pK0c6wjw{s$a4L~D$Mp35O7Q{e4FQP-y>fTU*ZAK1OC9>*&LJ`A}`S*1}tC3nbw?dwh7ndOo<>Y{Xt;H~i}~xk*Tsp)u6z z@hH%&kR0!?P{{wvXDp}H>uV-t|LU{L^r$|yUUw0I;V`w zJ{IS9_{sDJ4Hfakd5maP06{>$zucBN3Teh8uZ4=YVxqnkbyUH^2hC+*;J$*R z*_OtIP_15Dl?pV6HCKa^)MIZUv6{uJ`4&+{x~6u!T++CQXGcSL5z33lG>7`P(Srj) zZa_+^nJ&Pkx(%v85QI0{Vr)=|csI<12g8i<#ZLYFH8N@$3np0s0}3-?;!@VRMxC)> z<4_&C=8lX09F0Aokcbk*EukJ^;{B4<<+j}a9Dy?(^Z;fModsb*;$nY zZL`YN@&gf@fkQGyQb{0+0Xed{Qw#o2-(F>Es-Gwygn|}hrZl=9DK7}dI=_6W z{^#jaQ^{dY1(ViAJI+AOLwu}8)Fc1@sC&0qNs=^8NLAGXLM*Vnj6l0$ong8oLVZr= zi8%M{ouH{lZ~t~XwXC8%91Bx6bSioDjoRSV z8We@}$;l8P@=_R|;Tfl33HM+CRt)7Php+;@9{{$;Rn?3%!VrT^+vO2ohX`T6#G1-p zX_k`zExr-H2zOMxw+gTBx!e*=h3OD{mc*7G^CM3V#I@yBii_? z4-HXcuIHA1|0yE#LC7ZX33DXc24Rq5+QwX#${^&E^bLqO8qIDUL*qus)CYQc6Xk9s z+tTOIJ{gFIWB+9`#V}>(2r{zu^!fGf_y|)A_@N&Ovoa;S)I-pt9N8h#2i<#we0qI= zyfB2u*Cv+v6DvdRwCb(S>{++3I;ZG7c2MhVDF@^@l2tqyXa^-vd*X_ ze|_+YR;`E}bdgtErZ!ZlOj3_bJ5A1Jh;ey)WBTl8L`|G2NU(sC7)3?E3}MTC4Q5KQ zt!R6-afcNaW!Fg5@#lEa?LzAy$MOCF(H7l&9LsGrjoB0q%sf47s&$+P9#yqgt<`2c zF7m;0u`{(i!X2EeZ%A2ouokVMmMiNZ6x-CDMp-rr|scQ zAl%sK;HFcMq?Q~+!KqKGD6FKcusD{;37axLozKG`sa1GJGqrvXEDkdde?aqMJIxqt znRgN1a_?_J8zx>9(Pu^e0YEXyI7>cw6k=A+P`G}%B&0BL1?N=#-mT{VyxO=_D$60b zscD3p0kxFTJG zWD^eO+VtOUbW9Oj+EM;Ta%wyzv@2C>F~34Eutw>#;g@XArp;6Y3qcbi8f%e2HTmEK zn<=Q(YG}hA;~|_#2D_858<`lH?$RyJBSQDi0zK274HqV>Vg?>F%0Q@v1SKJ2ty@QF zAeMl27G$?M3#;UF+vCH?lsJaw{15Z-Q!xvE}t+y6Jxseo=l zs3Ja@GxD)C^4>a6g$z9A!Nv2mz_U^M72+t|B&KZ6sC-DTq=q!BGTVr9W>*CVuQ?5l z8`KPOiVOReGgPh$anaz2JTPLrY$>RglG_cWKtXk1JQAHH5YiGQShMpVKoSNNPKE=( z76PZ5BVNN-0#90go)?!n&(T%-zEK~~mml__*Lbxv3PYRa8$G3(#gGJX9-@3u>ec@V zu4{3MHzs#kn+b8lf$x6u#NgrUi4k&KcO&!f0rMp6YeGgwH3rGd4?_@`PxavZ^+ohpE@TQ(JrimkJqM`aekR;M&Ci6uE{e5f-HuF?% zGC$v*oXwJ-Zx2tW)1PmT_T$5!Z;ww;&UDViir7#N!>e>Ke02J7b z^Aq43$CJ^<>9r89)Nsli3XWEKV>S_Yj+jHwZ~U-4bvlUrlY4dQUo@aok@|~wwiH6p zF%U{tmPWc2@fGVhUQz16U=DU&U$~duRUX$I1}FLv>s5AcxDqvRwi6W$nJ)t_FrYG0 z=B}r`_^wb0u+yojF`aJJQ+^L=No#c+t3O7;kgN5VQ4EVHk7o%-Jk7J+6va6m>0*r! z8S|zY*Oq7QC2~ zVY2b*!LcDc$Bhf}Vy&`)oH}dBkx}ZeGoFC4wxD58ccHl*@jS1BMvZqMgvu?77;Kn? zt7sgcx69v&&SE{>`%B5z`Ae6r(}IR{zBa8h`Uios-uaTtzpmo<>m29M3B`_XKJM$k zj8oJ>l{P|6)w;9I5fqhSIlo_x$tq$Tss38+T`RTJz?h!G{-ah9Apdv**tyGecHT{A zh}M}=PItST1-Bwvs%$V#S(4S#v9Cojoc6;};7BIk0N2Fk8l>pXSGGWy_ERf}gIoQnJkzZKH<-W+V8zUeZ%PLF97du9J|eAr8}33UygHSk&md{)EU7cyD^%$ouIeVcb#*z{*rL?n_va=#Zg% zSLW!BUT%;!cFquAZ?#3I-KUDYzd?gD9!26|#4p@(A@NqAfFkXEp;=u7FZsE~WK zzF2(?TmNe1hh1=xa5WOai3?|{VG9_U1ye*B0vAcvG^2PmS{aFOHOJ5f7aeShwZ=+B z;tbi_aG79rWCOS!uo~&c>|J1F0h?!xnssWX=2{Y>0Mkdc1einB?x^3eXF$Hv@<8x7 zcS=-?g%&uQFWdp>8Fu;p1);#1{D<2k@O07Ze2O^k)Q1OT6XOjOa3cCELKKSSmY!X(So z>0%nAzd@*ExRtb=W6?t=;jhFDj;);w<3V;7cp!Q~pRMZoc5>%Ualixs`IE_MqmGB)AQ%0m z`RyJbTzNmw526V=m{2XZz-SH?Pf#5?qm2~60h{U?WgwQ z7DM=m^ZhZP9e^ERZ||U&?uZMCHH!DzK(>osiUxGF8JNNXVtxt6yliBB_bM%9J5$O1x6dZ;&~Zg z4nlxL>2SIwThbS94d}_br6XmcoyB!|8G3OTz5Le@rXhE#d*94Z_j)P!D@4G;Ww678grkb zj7|oQZKgXwJE$7X$(Eufx1~U=7*!|H{Q$~eQlah?&(0ymi=dT+gj76c?u&S)_ModU zEf6=GO0kh?GK1mbb(`h{*_F?W{v+i1vA7iU#%GO5!aTV&4>exn)=$)9XDJlqE)zX+ zUeZaGC|wP(3}_BWCQ$&R$MJcbSG%732|U4lc-5{LjnEMY3aW1ij<~S`V(tV@F=K)c&Q+F&DWblRT}lz) zH~7~+>P0l5>!HaYuhn6g+9$PEH=><`;SkfXTx6(|T9J`cG~u&TGy2;V^?Qmj)2F`J z)H2DGRehfBfEy_)6P!v`9lUjKU7*EQ5W`!l=jg_{-ay`l_jRn%No&YYWIuZ31>o%B z`DlFb=nzZ$uK&-LIF+R};;dRNwQXsLxD*eV8$jDVo%wMqCp}$zW5K+%OrduPI>=mg zt#vn(eWTWG-rHA2k4aU=1ov5FMmz`>2y}DI3_1lL+Cm4KLwp#c0U_sFvp#Lb4cZ56 zL}Isr8w^=rYKmFimN5i+n|3L78g6uXu3Hk6%C>2>bbSsIR6i~N9ot|}W?5<{shaj* zeC%5WP0EnLGI~iq(nlf*R}F%3&z3pyym1aE)|eqo2YDlyfs&aAttyiR#%wiwWs^NKrkAclZ$oFNYuIjlnY0JMZt7LHY2_tJTWz+~0ds%5 z-tpK}sXzbDttwzncK1$UX_^5H^@(~#)eUQ5e92tMx-)*xg3~pPqK|Em3IBOAy=?y z082f2>WjFPrLsw$15njcq&^1hz#jqodbVE1Yz&6jHfZm2*Br>kVYGK>f_1n%jNGSx zsoYxtkJ*Q?JUKG@$mu)+8NINtgmhn3WTc&O11eT4$jSA0k`4vS#rSmp!1TS%fm)@x zYbrkG)4(|)DBoqgsbko^-i_CS0?!>?fJc8NrUnShMhxFiYJGv{85VDQfngHhV3}SDlo`TMGM{$)9K&X5cb~8IsrS%rRi*%q zIq!3?Z`HXk@Z5Xoc&coRELI=)vd0}iu_xa{*LkvzvmU*^!t?Ih;q`l*lR!ffu$GW5 zrfx00dj7&Ju=-o^a$pTc(>ud`3Ll!oN)nyJ`$jaZ$AEWhX41%HTq6xgmUn_-kmdxVdv5{Cv|3$i zJ$7`10#zs{I%=eS>reQmcP~x&cKxPb;((`tpeOgH$yqWjw?Hv5IfaN6SIjMzB01k`#{X6854SvyjXpH3havq2s`jAAS;%?rM_OL&yjXL}y0 zDPHI%A#^y-rDc=62vE5a0WX5(Ll`vZACZEQbSHZdJB`i#6L=Oc=M@N|OPQ%bq|)+hPSL`A(2L6Qjm2A`-{#mhJvZmVTRyr=&e`4NEdpF!IV-URM0SO%aY zHHHI+xLL4bvs)tr)kfl=Ol(c>0NMuHP*WUddQr{H%5>V)i*KCM-?V`DGy9K(;Opt0 zd6UYK1ZQ=v9!@-4hBgNKAW^o;y}-Og`xN?k0=Nt&S-h_3mJFa4^L>1Ckihr4+p(oH zl;W;zvcy>>HzIYlLjkO|dKVa^+8ju2LruB(9Goz&N*i3kW5h}hg6I!ch57;SsTws+ z%ai>v4iIEVuhjamuO7lqbQ;Y^jk^xs&+lCSt$ys(H)W&F1W{0utIr=xeKCXRGOx); zJljrj9!sPPU_kV?H94Hk2Fy-eMe5J`6|KN38EhV|l*fG*qy9&L4x?FdO+>F8S?w8f z*$O~+I=7pJ8^>-((8(MTh3kFk=a!~DMoz~ttCuogL$HHe(P$eFM}djcuI{g8SAJE zDkPbu`GcF0xHoT|aQX=j;dafV}K6=&A;^&bvp?#SOtW?N1A1rpaV3j|dgf$*HhMvfK& zHPzC=rLH4Tx8PhE$`8qXER_zFb1 zz4rbXjGgzG#$bw zH|y=jwf0}XjfSt)V+2Q;qu;QTkFVvIznIQw?pN2ldpeU_3co~iNfb#Q%0R|y_!D})t zLrLkhY(^Rcli_K3u3UX!$UaY_;r_T0K+vyKgA8csZ*v8&Sxr5)-owH*o;2YC`t_$X z{texIi?ixHozHKb>9;4b=Vxp#S|@TK@rUoD(%Js;>EY>qE!+Pr&N4Mu%>)^Qv~2u* zhG%1pPYh(}pKg(I0Y9r!wmpK<8?@Jb|9^q;c=9lsJUl+ft1t9aL_ASH7lBeQ+V_zs zZLN8z5x+4#7ofVawH;;Xw)nAhwBLxPYA&5OwnRs}$KxW0>XOhN$#1xw>jyL=)ZD5A zajCFhhN{(y%bacPe!n}zYK(YBn~Dci8D_aaAwkm;{4)MlZFnyzT>ZpRyV@+FoDv>j zaO8nbq}%hBi}J-Vbr8jgid#;kLG*iI!l+#s7?7Y)ak+-yP>OUHmMsVkQ4u6!5Y;gX z6O>kya|3bDhw6$4Y9GR$b^g` z7@PE4AoS{K?Klx;hT+;>e((6f$ylRvTdKkEIDPvu)FGSjH19Nm@=ECQ3e9l$DlkN1 z;2cbm`W(~83slQjiIf#^W>UWqi;2-N*yIsa&yOW`7SWCv-XK96}tB2&#)luhwyX)l90V?|A@tUu>ki z$Y1hLP^$te>~H^G$Ovy4>c5YXO!}&QQP3^Ps_NF-?s!{iajhY*za!RPW4q?7x4N9djZyH~Ro7yE{jY!gYZP?0YOful&TTry zO&qa!^w*@eT)UAb#pS!*h!X&96xm8C1YfJBs8zri9prY^P6lsLFtmw~w^(OMPpGPEhV5 zj_5p1gGP;$Bu!@*E-6nl9S?g%%ed|`-!LisQ!Ec+ktul9f(DQ_@HYi(Ai0P1q`ipO zAU~Ss%Q$0vNm0hx2&TsrxwTo|{C$c(2^C=Kt6w}lROa7{XNP+P-PqPYD}Cx}@i4>x zJztEx<>cppZ&QPOq+6G3J~a9B-{CYaLny|sT&Ecvkd#(nuAAh489g-@SuBfoBv2cG z0@*}KPqd}*l8S8=!{Wv}c_BnlqeF-*{{SjE=E)g6Bg!2h*oYXMV|Toh+l+T|U*p}2 z_HH`h{o4$9|2Ox54{kHwgWuo-KD^C<5ASKfhyBKT{iHSX8Dh8c1m-LS?_L6p zWIvP#Z77JZR~>47&S2RUK0->VhFB^^e0IgFXsLmmrs16kk2WKtnF)o+i230+a1eV% zs0)vlB|(IrtN>tRDZbGFXZ{)q()#g?;tosCG=a zE2g;`@hC4vI(-+H0QRbuX~~fC;=OtqbNWF;8$jhQPBWBa+yp7$S*r?FNWD|3cu!-z zd0chb525%(0Sr^(55^&k2`SbJU|NeWO!Q+_Yybm)1y0UPj!dMd-H%zHs5wJnT9{U3 zg5qCo-Dv^^>75FVdZ`1}ZPj7uA>ttmk2TKjs5#YZ(#^LKZmcty>*|WCJ|2g1OOlp1 zQF95f5#T@uBZnT|zjqtP7(xuB;l6|ASnP^H%ulB&cQ6*RYPO31=j1c zS{(dfm6n)eKloVeLs7?u5l3%lMKQhFeO45q*kK^MbdhEt>mCiOQA1oZ205Std@zhm zqLz*IXbnM$U_721rt-wLx+%B%o7-I3$&9^Y^pU>zQrS>(W^yNKwb-Ur;#S)cvcfhE z(mxl5HAD+j10gYldSpif@XDFQ+O}xIlf8nO?R%4#b}*CVORlq+ob0F#>O@mf%`fJR z+c6X|_?NdNJ^RTs;562vR08?Qk3X$+z}_kQyk37ChOo^19;m$0nlE3YVf2>5@y#ff zc^3nRFk3<^Utu0g$aE$1(FyK_K2J~rjer#Jo1F;%{RFfQEr~r5*2nzFMD!o|EaBU% zg0+f`C7=}IbBmK46CZ0v@+-N==sUgwG`>9@&$LMtNt)MbO8 zfBs1MF!XGiBAT_!?tjVpw|Z@hYNSTYTku|Afofi71W%S9_r^bUYg06Am_ho<9m7A# zo7=mhEP(ys33$Li!qOom!6Wv`w8qt98S)Gyv0)3=D4zyRZ)PwCb6o9aNqUiJ()Fqe zlCY?~9-T)YuVWm|Y>xWpu&Eu6eg(T)(Q_R=sO>(PK~Qdu z!?RFgzY+6+P%3^i!b9!lX8<9m@>I_U$R3n~Dg!+-O)rc{p<1P(MgE3Jw7dc&?veti z%*tsHp0r?KbAcsI4{0?%9Zv@mE^1>CURwrDD&d*6L1K{*Kz|{esz12Fg{>`%qo3?n z%XkgUG*?-QYM^n6&|AmhS5I4goa#O=#(NYrf-A>+JdS46l0&5B5@l=FC@K!9MZh~U zO4sFgw9s@Tu?+{@)%1T_CYOm;JT2qs`GcnqI+rsm8D(>nTte#>;Osat9zycdFQ9v$ z%%PfGhwy&rUi$md59PJL9}R!#Uite>gBL@P#U0D@$CwHEwU33LL2W#Y*ZPf&$rtfb z({;VP@}8GIhX?u&&-wL_^)lY%$yNRNeNDgrMxNhgl2yyVknrc<$cS+LusOk-_OJYu z61G63VYb^vb+>U{|BV_kUjvT4Q$$j)tp_HWc%Y1XXsw&0&w{h+grF< zk>P8CFHmGo*$BHB4oc+_109dPEtWaD&ijYW_2vTd(89SFyoCiHH`g8V-a?Qnj~*+_vbHG92>)dtqF=<;RD1Eh#ELb{2^#iC zYv+C%tdeuAY`35*OOZM``aWCMII!o{7i7m${yA}ZT^{W!u?6O7#^Ko?KN(-k8H z6BK~~Ea5_J{V)MuzW$5=p;T`Rix(p0sJxBgF5rcr({we<#FU*J@m2c=(ehILcXEo? z;MeuSx7)MGd@ESb@%i%`h1%&P~6?{;JIGY@Kv(b;}vK>Y0mHLR?r4tp+L`{?|{Y@xxbiVZC=-W7V zUitNR&;*b*P%qrqT7#noD{q0FtVYkUU8vWr9d3`W(iRR{Z!%0hvt2pLjuobUHHb z@4a<3#gM?0BHvcw0Ny>^O>g|Kza;hU<@%q+;Ptem3mX8_Wjs#{4XfA@v0SWdgllbj z%Hl~hi~{%TJmFRrNe;}1QKeQfv!$w)GJ{>H7cI75d*O`E?%-F3RQ9Z-+@x6?As$LL zhdE?}#G)}96lvviJ70cKW*nHGYO&sYa0n;PFGZ#r?L=hlmL_lCUM{&4v~gQlP!W{1 zaPztDGfK6bjAdV(sx??`+oUA)XKFEIj;rh4N4Q2B#g4TWt|MZkx{e_Arf%uNFAX0b zUBDqsYtHAIfD-ItQ3GDW~r6CvOfRmvS(>%7g(= z!XU~z$8(YRk=F=*td?Xz-Cs7)iG|D>oNAgNeEs!H$bD(KX(AMH+^5v?t2IV8;7J%= zNY2+rL)G@kbBu!BF@MQDbi{X`&dEh(sYr+`au0r_CLS)0%rUxc zlHo-Y-r#{BfcD`zTQ092K1R++T^4J+OD?pT6@-p|3YExUY!&a-?MDfFmrVhfMG0z# z@Qh)7zzG};7Z1-_CKRI&Siox|66)l%U^W?_s7HV00@iv;bUGA1d5n7otl5!Xw7;Sy z+oNWw?HrCBM*;?wv&w167>b!|p%H=5^DO4`Y4%5IWM`|fztl&ogHoA>bazZAMPE|@ax*W+W5OA zF*=(;^yaLn(S|)&rWEYqPu1ABxrs@^pBx4;cfMl@1o#_JtpbtQg3uhw@(iG$soskhmK*NU+FC7+UH(CRtlg&PmE38?=&V;HuAIE2PHs->z0Bc-~mlu2pqAE4g66 zRWP5w+L8vdZmX0f;htoZ$NJCrsn$*G$P<49W5Wdne_B6erYu600q$pFXFla;Ubq*Q za`Cb?9S$m*a8|YYK0~z>x|t@zk7l=_tDWmVL|;!$>s6jM`p0}Btb0bYyIK~P-IyVb z@^j0?!)?o=Wv)rrfDrBJUy`TqF>krtayXSYWxMmc^V3OOvh2M zR`p_jhA-^D>RDlKYO*(oxo#_qzfoy94CwI|0Q(sPsmd(`t97i|nSoA%tBiM)8KpurZSYl=lT)jv z;`W2YKRQ7nGm*x-+3aS(?hoFg+Na75hU5+J%&M4`$dR+bM_gadhln=^ilg})^&V2N zyvP^Nz*2^@3|Rk}ZSb{Pf2$?U?%69m;91+<%bgQsmU&xd$}kOO^(NdI$&CYq&G!z-U^Uzh9QSw z0a+2JAL3|;Ot!Z|OAC~Av#C@EO@AFDrxTbaue1VLv+APLZcug6z%Kq=t!TssJiW*P z`gx}CqbUR8^PU1(minm`uhll64Hv4Bnd(2MC21EIJW9W;Rs%4o!nm-fNe0=qL8HEy zP+5VgalGfVbv}&hvxG`c0^4~|e#{wp9~H7D8?yspFALqMv^J?NNQTeW`_SFJ+|&n| zHpeFCH`&|Uzd`+@pac!-?{*h<$kImcabS`}P%Z?^G^qbz#h1S}$<>Rl+38rF5FdEb ztH|*NHqHnXf==MaW3~*dh&E0B>tSRXbe!KteDEuhe^0k1QIF4GZlp=3mo9 z1Bew>gkAspAKjdTd3<_&x_h$My%vQw(Pz&dzI^!*DIr9eWdHT0$C473sWZZchMEm( zbD_;Hl7s`nW#9T1b`4RpejOen0*E}425tuGRO}bD*{c7cCE@Slk`SjQb8(nkwn1GE zW@E1M-A|r0a3s)cp@_G)FxkaqHxkMP^chP;0Thx=6DOuAFj2^NrJh+7Zx;hE9*3s= za0Z#sN=tLpB6E_V!QP0oM5LI_E{S#lKhUSLO}I1Vbzq#q;+lxe(AWsQ^ zQ{m5l>Z1LcUH$;j0kY~!IkLqD?uFE%uAHT4Urh^dk9!p^;m)?_QWn>02+v z`#_R2f&Z~6xnDgXTGA_3h z-Ny}1;0C>PA8l%8B_o&8(mYx@v^xEh6Vr91Yia%&;xZ>KNG}ef02DnBDcgd+P6UEK z5sK7!`nLa^%PjO-Q=wDzKZHuO!!z;7ja*T&fJ9HnLttUwq%1sos8OcA2<>w}=ffPC zLAbWWWcw_bPdQ;JSRT!Uu4+kBo!-QrgI-omfS@eS6D=nvGQjqsG^{p!B||vi#;_;_ z=gK@i)2Z$?di`A1nFeBLFPNGg3SuhtTt%V!Ge00-fbD2O0Se-!XRxSED zW~A5uVnE2ER@!Uu^}DE8d0Mx)4pn zG=+;M^(o;*FQP?eRO3Y&xk&XO1NVa~Pj&m=Xyp>CKv##f?wJ1kN!!vZmu5~2^#t9U zgjdF-B}l#6)cy6J`{W-9s^`{pm9b2`&8;nOr587PdJsdoEK2p5j*JbWo{+wDOh4j^ z-!o}v?c&}K@jjDU0fk_f2+pE~4#;xV$k zi;g&J_I)Dq+g5_Sf_@@x73k8i=z#!5soqrm`RSK$1qpWy1)}-`X2C!FNX`PwJuB=h z$C`{c%S=75K^0joCzpRnVy7gLUR{vN4AuIX!Bn7caR$&RITmqKiAJx7J1r zC2rPY<~*J#rg?hAxY-9NH=seZ9N}y*Y4{2f*x<(lDRQXtEwz&{({c)p12UiZA5{bS zy4a6IwZ8sZ^ zu$HcIxUu!=x9b8M5IuE_vPyNgCpY&YsV zPi_#SIwTW<7k1insS&vjK^BTCVj)I1@B(^Yx08{5z5Bvcynn4(-t0$;2`(`4Ueu52 z{Cj^2IGKf#QBt^>i*&vvYIWuu1D8nMvC+(c#g67Sl^~<~0+vG<9R|Drr+K!mB#7zV zkH19x(ss(gaUIW&s_lB6;d6)Gf1YgOG;3r~P|ZX`^%Mb$T5Z(bC?ClXDO?0@3@X?F zqzZb$m6kad@i7>#4dl?9gRO%lBy!`{I{_eho02e--T-Vn|CF3KXb1AN(M~qB5ZFed zp*NXANjZKk_3UWRH2euh3Po`5#7?s@o_zyM1P`WZOSH2DL!Qku#nzzv8GbuyAgxxM zCnGK6N8x+_{ntU+x1R%8P%r0!e1CQw!SRsD9aTIla|g z35x;2(kv?s0f)aQ$6%eIl$|@TysIt>FbM}&tegr%DvJxSk_R~}k(bH0L<*}*h$_5F zEV3qDh`+<@Ig2j}^C-e2%!`g@cqwUV;=9VvqiQB)+Qa%l(HOcMmJRhjjYml>)a0@s zeDlqB?ZiKvJUHF|ZZmU{>4(j57+<`aQ?Z)WlCT~Q0>jBG?Jb@P7j^a zg5p4YEUXmoziGn_zi2KHPzTeBVwMI8Y9y|u@^!Ucp<5N4A7Ey)XT@6A8wjQT&hPL*}G5i4@eyK~7=za)Zn;<}Leq%wbN^;`efb`21 zzqkSTqGn0ZYX3r$jDM+5r(Xs)&k(Aa@ZaK0uzXHm@J?5&S!z~Gq>GssN>|S4c0BK! zJs@|AZIUcuPfWCBsmulF52kQzOV&e57(vks(L|Qoh-pX&BcyN9a=9Qv7fOk`($>mk zD*JVl0=pJf5PC0UpuSI9M!qK$-D735MUczRvg9iIUbM!7&{aGGT!<+u7Ubj>R^tLC zd+DB9&?IS}j*Sf$YXKfZf{(?HO+t$;oxAU!TIIqT`h$*$B|Tb=_X9~m(XB24RI~Z- zU@+)1NzR+VU~nurhkKw>TV!Md!jziOeS83f?ngHUqP8toZcY}*=J_oU%^O^j37{63 zQ4O6asndP4GHPJ3t|gR1wAD6qd_#=0j3C!I!~asBq#4rtkqEV~)7=?~l?*bDdUaW3 z<_S%uRQHbIQTm`8H9<$71Zi$`wHaWpaRO2(+W~iqTM%;Cn!3-+H1({3+c@{53*s8e z-|(Wx!XmL#`rUShd;jA<&@@%qlqAZD?_fSv|+5$wOfGiR56}&eYyDH;aku@4057mSMW#+lzU=VqCQ-E92LLZajxQ-nAGw}P- z&)iD=U)Z_#eYGt;I6XLQwC;7tddS}GLfwMd1vWAH67XX!DMa_GwV%EFy#9MsO-9Qr zu|o*8G7nd%N2`|H9JVpo(aSCTdw07wb*17LbT0%i0@QxVy-rqfS`rANmI!dubIQTZ z;|O4fA3sskJclJ*NT3NQ;kG=}Md0kq@cGKuE7kO*uz7- ztB9k|)$OGfDDM=zoHrlx>7zgfWyf71G1^#79pTkSJ!osf~v_D>v7*2*h04slS@AaZ3%UV z319ztgtc@a^&H+krvTnl)FGoiR8;#uz0g(gc+U7>R1f@_vRo$uD7=E^gz$~S51fXn zWp7j=wE}FG?1N$Rmy|%q93Qs+C<;cH8x=o0v}-KPFM1niNVg4kV)Q1N zo6dnFU`KyiK_{rX+ZTU@QUvujB_g_O|3%7Z0gsOR#3LYpt_=PW`;a+ zN@ggWH{910P|8n7PZ;+aa)@Q2Lo_~&c90iXhe}O{t#}%Mtx7B?F5t?-GF5HXuB92- zi1(bF$h^qpL;yZ(g}xA5wV=su$;$-qxo!rl2Rv2XKS;+zgqvz2%p0)wGML7A0~%V2 zVI{OB4S?J12Of??_Qg96#HO5G$BkDB=KEz~_Z(xN>x9YmpXF8Cfvs4xz;X_&IZ&op z?-7O=_mef!(RpS@X<@Lj%d_b(-*{5Ej>ba|8&WXYIP5Gjx{3~oP3@kVsJPSzOr$j< zf%=Muvy~~OauHvGH^*UUx3q@cT*XZUi4Ha5${oXK9K$96f;F~OfeGj7bQ2I9oYKyINR6HHX-#e+o&-1694kQ$=*zr?qf6K5z?F4i>fWHg(7z9tU0$w4AiHO^uQnR-!Rql#4h|KR71*yCT1Wq#6_6ZGXAl7@!RTaf~RAUJ|*VPJOS^ zJPBHdHXyJ=+-{|jTm){Ey(8l%Bq`d+gUce<*=g>4pjQ33 zN_N$Z1!70ClAuRI7lD!Zw?C2D;l_+$cbz@s-5jH}CxZu-#ZC@AnWwkGG+?iF&vS#E zahT^Os_&!W<-<(pPpEoyCwddF;aeQ&vOeF-p&Hr2u-J^~V>3BjllG6sdn5yO8sTX{ zEvWE)njm^j=cgtP6+&0dmL(8I7qIS5PMn^lh|^8`=4%-M(xY#ZYYOQx-Lz}Ew7utV z3sMw01vO7)?4ugUzFKF-qr36OYIvAvt(eogxGWHwG#Wg2bgfY{-RbS;YYvachXYrD!PTu>=zi9)K(De;>z*)C;+e~S65FGX9ir)Z;^!6EHypT zux>$&`SRHt>EUru=)2CtY~$W+NFVwBL;u9=?US)XkZB@6dQ?k|GF9gpJ00u>W0EqA zd!+m&GWePhtt><2VUpD{jeluUwa++}>W|>nlgBzao3NI=47y?fWQX#sG_NSeL%SYc zXelWKE2+-X9-KN^+Of&fF3R-7hfEpHIEk-+`{OPchehqSyH;*Ayo=hW4(9OI)whO* zV1lTQ)5CkA%zK%}t2BC6Wa}je-HrOWVcLq+QhU$iY=&R#*V<~?iC$==epN?+nD{RT zeNFYEhx+hs92fb)y$5tlK9)T8P|R2ZNX3V+IOsM~p+?atR(pt?i=yFK zTp{DODDBSTb$8$TI(2eK&yWhmTeeqFEX~6ibattOztna|uV9PZxaHO&V*>S<56K-( zN37_da1639WMM(w{L8fffzKB4=@zzKHHV*rfJqX)JtzO=sbht$k~x&T8&!%tZkist z1~C}6?blg7@v$hfxnHTD&1qDQiKvrzj*(cU8NXY5J^j|Vg=tyjA3T$be(T#pqb?5u_qD^Lqs@@|8MXIt{r~kTXnkt{UO31~M|F4dGIcOL8(X0=@BIqzJCvVO>F&G#XE{S1Chr0fA$g zrX80+zd-#{vl~93w812EidsN+`{^Cj)x+$P#x$RBCwYR=0 zaRZ@S?7XS5b5pWl2Y_vNxTW#EzNZQP#+jmiced}`*}ng}CU>~E$*u2g5-|(RL=WtM z2L=_%XK+OAh~*|JiGif^E)Sf$Jn-*w{|Vh_`W zL1TxYOV;Ml1HFT#Fuq?)p*FAX_<4-)U?_|y_hi>0o4+&6iF_k%ch_(kCpF6iilG?d zO@A=XnuGsCzEHk@u1!wQyvk(Puykk8crVnmbq=un_yY9dvdA86Ve59v(M1IpN-n6L z5Alp0;Dk0EU;mjfc0$xk2Vk!dh)w3(tT_?xfJW4Go)GZQtF<-A^=eSZ))AhrXQ*a> z54fV08#X{iJ_%DbRKC9oHn&zrG?ygUD#mv-?82lNORnyUpH)#7P_?^_)r&ok*Q$pQ zXi_6<8kL7q0!(&Nf=b48 z9HcekYdV->{)3O|^YAvzs{QG}0wiGENxcaI+Ey5Dk~kg#_M~e8sxL=l=((jHL1WZQ zv!t4NQsb_z#m`(yRu7k3(`iK}RTo&sy_+(yQwb0|HA4cN1@X52&h;PTnvoYy9lFcE z;f)%VC!G!8Sr8W80}E{;a*F|>p+)hK0Y<}j=YXTt>B=~XoSc#y7JSu=hi;E#2LaN$ zVjZEyP{^9im|sZ?O;BJ{R5&^4XJhW|Mc-F%;rr1M{#O~!2ZLU(UQqCkC-Rk!Cm}N4 zMga9Q7d*{ZHo&J1yr2hM+s7!>zx58#^v`OBO?Lr$OYw|;V9I_~UikQ^pIC`lDa;ek z)we=*{>M1qu+E=8I)k`@9j6Q=MDL}9-Hs%=jIN6EJX(NEb??My-vno^T)mFgYG)+B zgl|$!&|_J&0tPaE(v!X2@v+fkylbTgWj;G!|MAhmc+VEZODfWuS+q(d{`g6f!DGg( z4gdT`_l93))tzMoK|0H>f0>j3C3H<{4JjxxhSuXnhFDr!-H@t?E;6hcT?2o~AORS$ zFvYci>%z@kiJu~^jOPkU{mg2;z-M5_`itmiFpqyBl!OfJ1^B&Y3L0|Ic9jp-)rqr*>56iSnfkI|3Mi}Q1!;aMgr_+VxS3|ni0 zR9$C>-P)%@z1~JVZlIhq+;-FM(A9(4vYk?MUdBPonkvILdN+1fF|PAPD1Mr#FEc*x zqTK`F{ZTZ8|Lm*105T#+VWeEon-y2J-s|;W`N*$FbG>dTV%vTBa`)LYiKmd1w_M8z z1^(o;sjDUjyGxi#dgJ^2^G7dV_7R*3n(wwIQ5Pf1i!C#F$Hn27s^6x^%I+G$E-E)JS`7RGK@ahw4rVDJ&Z&*JveZ-@W1|vV z7KK#ZM4_-NmKSMqS!>-KxpmvsWxA>u3**Nq*h_b#u&R+*0$~H4hULNAG#*2g zjzEHs>7P7{gk5jAQfuv3UB2)C_EE4##G%Zj`U;pw3uQ_K4B1}wBEjlUYI>$->gRA#O*3MFfqGK-Lz-b}j@+I@x)^#p<**s?q-6nmDMO}peI z-A+MQq72!@Xs1rVE$Cq+r+rPps%G0cPW|}w_)zl>Veu+nPr52ZiHOdiQT0))^LYGl zZ}RY1hX8I+ zA^k9-nXZO0qm+wb#alS$+=>2sawK~^(?&Gn#QFrvekZn|V;I*M#>zD6T9Syxu{2#Ki4aYl3&jVRzU zo>^e-UFg@402o9`ine}mqQI&qxYuYmpKjA^W6|WZxNJ|r=~YzixazY+`nhthtJUIW z5}z=c8{hwp+1$)zASdtUyB682tH96uS2?0W>Gt|BqY1Q3Vp}99 z{b|IBNIEO+Ie_!JN_>r{EY7W5s`|IS3haDTJybS=yjpm|E7I30vKDo$8f6Q&BdQV5 zGO9@-o!MpI@ioj{Se8N=48qlkR3z2F^*Si3Kki%k==$GiBvgw1G~G@;Og&_{irSKq zu6vickSTiYLRCx*dqnv|;ZHkW$Nm_N^YQ7)_)aWKy-Q^rYB3gT_3gY+(iIF8V<8gB za{~iY7yFVe?u0bt(FyzyCM6F5)_rt57_~Dn)$Qu(m56O{22mMuELxR#OicaLi5-kg zG_Tx(U?LO;+Hvb9C|9gj;i@L%zktLI%!97G@QB-WPs`%c*F49RS-FY^e954miU%~9 zdD^;VO>Ir9Z7j_P@_04JzrH}6*hn8IP<~>%b$RYI!G#p*q32y0 z({zy)IzgtMO#(0xY_yUy=qz)N}fA>+{VW{Oz9k1a&T?1IQlU%Jq3CSX*(0qF^zgoug;%P5wRv z&O?f^eBTl4BZ*SYB7v0WTeT>fy>dip%7FRr80v4sMtYN3{#&1re1(>s@Cl6g=?Cfk zt>{G~Rgt+IW!1natwFh5ewrYv6KG&0!;yGDMtKV#sb~=HG)UKt2ZSqYza}1~dy{~; zZEA+MK@_#qHNkCdLA|giz3h|_!}mGUTy>4DoB?#1XRx5cuqDAFs^w_s1xEzYh~N#< zAxjT31a6CcEBaZDI_@>7M5m@!?%&_QgC;kSr^xE;=P15V6RB-$c31#c7L@ZM8MZd| zPB*l${mq*G)T@y8R9Hr;Nqp*!BZCvvo)XkiQ9ui+TW)FwvYWoV5^OtO(T~ z*CM;t__z~Pt{*b4kA@3D`lCbC!?}@y3xuE@9u&a370MEcVVR86PPm(S1%noZTZ@Q` z4k}pMu~YTSsYV6#3Gz0^c1^1gc>qpOzM_xH)y<>~$5@bctAtV%FW4Zqb3c4|El(VCZP&y;ay9q-Fc zjOV(fYqS$=uw*Krn1zWBOVxkX0FkRCHe8Bk$hAih$X5hz+n5PW`-xVd*c8UWk%%>t zBSfH@#%iNZg(2-rvn-n;WaSn=g91iD5q#Ag82CX|95{dYJ=zr_tY}Y z85ZmoT3$70F@phYwsl98ghAM+Sf#WoJJmA!x!MXPN_Um;(Qz~hF5T6Y(Qde>E=U4Y z!O&^9qT3&((!no|e~t58dRmv|Ket4AqkN z#k4Po^>9^I6Xx=pgLwy_5u3(LAg zSx{}iH(HYclSXgz2J(t_A~Bx+rvzX#>Y>5KOD&j-_ycSw>+Lin+_HLtkKaE1;*01d zLh-&X%JW_&5wKnB=7JdMGDVLFd*c0^5+gRnV1@&pAD2obNRqA2Q;%ofLm-Y@FdiT| zTG1lOOAcNcksd1A>HX4CNJqE2SAJ)qf)*RjOMO>y((@qXiT9(N|O`a01o&q0TwdI5GrKmmHpB zLkZs;Y}}Kh9aDUA{S{4LM-ulUojIWOSW4z98&H`t8Py=;soJL~+lx(~);5xQuegb* z|K=6V#`q#mGa?qKHJz!4uw@wXYo7D^H>O^T=NOye7(j4%cm%y+n75L`9XT0d$~zYr zp|+0b3JBT`w3A7HB;@(O1@(0o2Y!h3!)^kYyZi?N9^AZrnikZ*%82hM4jg-|6_iSfY1`Y#AOiF4cumHX5g6rYZjkHH^=M*^K*!19!P z0bKnvMBmiMODYJID99hiPO4y=+i8UT=nm*1tFv{0ezq-94y`C>e&pFbc#pj*2XR|2 zjEJD=(EKj?3eg3^Q;Wo7rU<3IgyA;Cs$mvn1JfWc6WBRx5C8gSpWG%^(I6l7nG8$} zRyqV$0~eZH>ygLB|LW$f`_F}C=84a$tuS6F<6xU*l@3nqMqjc~#J`BZ(0Ct7^pC^* z`LC_Ck(Qo;Ga$pjZF@nEniZvEY9XVkO4J2KwTzY9nHMwlfu+%KGHGPgf6Y}=dMGPU zYttu$dhbQ4f2pPr=EKHEO?>*nj`?_~-#&c$%QT17s-*F6;LjHYM}FY4w>`<7f2en}1*PaFGPOydm;{?J8`(!zO@}16-+GPrp;OSmd3{)zhj1g6sWv{?JEful z7Yrh4cWgQP!9-6AE?d>l)Q+IkbrKqqV&0;f`da|@U`7TWw+yXJ69l+xeHpxEEz5)y z&8qXG6J6`Uc55j9X1}6sHC1y4bj6VIB{g*|Gqq?F@NRmuJFpinfoAunH*%tHWHPzk zjm(pnl98AkirtxoKLikPcGB3T{TRHFjd`i27-n5;tEA)Gp_9~iSZrut%&weD=tXX# zJfgN}sXnK5lu|A8U-ODg5Juo-YTfczRKDx2qJdjW*$9!;LgTWwmZS6p5Oug(ERB#C zzp8;r?Qlg_T@N*6D8%cv`qW@C4|aet;KZba+%7!3r~w^eZne37mIr9>nE|kxK>Io7 z_wn6AeNQT>zS|RoYCZyD#+8ajFX$5L5a^((tHHpO7bQYBxsAfdM}lC`MyGS_8t%YY z-yqvOWI6g{RfjIp#$^@wSEv9_``?(~4w9h#QKiW^DGY5(_Y8lh_dC3f|N5f_M*f)( zIV7zIf^j;9I;=DSyDcn*J{%#Po!4?OLV`l3hGiF?U@sBbnKxtuPqHatn~SEZn;@L= zx@2xXgqla{v-I2VT`w-~7Zqx76w(F>>w$!|O8jwMzeU$#p2BxF+Xw+nO@j#hXna%v zN<#UEnCT*nM3TAAD+|jD(8Za>WsyNzVxo2t&C)lBH@jJ^+^vBl?|ddSMpI#vLUMhT zyiaF^kRUZpFgsn0j(<2pr#=R?Z&08xf$dWaGs)6#<0Y7WVCaknrkI7mve0h6LGDHN zxu^_tt2~3*cAau5lz_fL#Kyih+D>ON<;}3P6Iz^I?EtaJ5;scNJQ;Qed-iCDA90!N z#`9H5Je6tAzWY}>2C4wHf~K1Zf0oQqhr19l&DjUiN@~InPuiq)UKa;VJb*`qxBDzv z6*I^V&Ct^xmi+shgyU*<3Hlb-;Z>aH^rUSet{E;q;3j~vJxkwnc4aI(dbyqrLeP(A z0R8x>Ykoo&<8UV$pMYW4fb=nWeXkW=4S4+z0{BF;h?y^+w_o!319hP_O(V2{Dd=b` z(f5GAWA7x8`gLQHLO@GYDP1^neYEX{zLjTNNd20j^Zx8`0eHK)kK-d#Lw{Uqnc5^Q z*~mKF5ZU9uH5k&$m(dnXOBh3P_f+u{EL2-CHH8`xyn za5X^-GG|Q{iFgh@dv^FXH$9Byz_Y&D+r9oRj3+3cgLiuyzJID54iHp<#XE=HkxUUf z)uPYTf_@e+Vl|Tu!>anoD6i$B6_?=kz`kWHR&I;=Ecil0B6s-U=)0qy@Wpt$DOR|A zt8EQU?G?a<^P3Mt-EdP|dSpkZ4~~0}tW3_zbOFc%+Qx47Oyt#uUhVJ(-CxEKjDk|U zCl3yKcYl_?N0y8%SuY{~mEGo*M4?vnaP}t;CcTHVDyAub!J(C#4?|w9 zyFZ;gIO*Lz(Oo}`Du8QTfaRK#TXEB|P(xs7s5hgWEVVnm`-y1JysLx0Q|0%e>k&Sg%Qe@D2lf|)#OssgaAR+P-int z@sNuEi8}KJUByq8GB#&E;KO0layGpI4v&`hT^b|)G0->;taxVZdR!(J4I)|hDJ%OI zjZC(>Pi7)Al~0dn@jO|vT6JZaitu!lszjDOg70hHL^nE3w&ypSwWJJ=1N<9|> zYvZtOKu^@Mj2pP!aS5L34AyFO_U<&vKSb$lymvB%ei3ClE2>KjQ_RoacY7l`PVBAX zKFhTzaMa5}wN-E8z0GSJZDQs1oPoyt3HG+ zT((J91p;6YlqL6U>j4hz*2^{^32PpC3;N!qK|s}NydQ?--9%5d5tQfD zn-DI=CYRHkzC98Ny#8N$0Yx=(tBG;?lpOqT)fWqhf-y{yqtlye=C7go0|9_Q?_o8dfrsSa)EoHU&!$j7h#0J>q!X;Ph(IGs_Mh_g5{KE0#sKJuzPk6&;O+rMQ6f7y_oUGzscHtkJhWsvMrb^)dw7jmPCh zOa3F4U=9@hbG^UoRek>(;^k8AO7wd)K&t)c3V*}uRl1ShYQ2SZ?5r`E4o&qX?dqH7 zz5btX!VuS5deB^G1F-@u0Rrp=87AWE0^)< z{Xg!~(>?V$o~1VwC=a!McCiMYR{qz)0Bd|NfNOc+?l7-)dIt+ua@Evrp+H&DBCeJZptU!+8M|7*4fOYiniB7?9jfk*fin zC2FZFNwmD)p^mpx8#q*_Aur@)nH8KGqqTh`9c62p+gGi=__o-y?Z=dIl;kEN+UU_iId%0k+dB+ZHJfK# z7_Q`TqDkCh=XOtVAY7$FYpo6w-L%=u5+Y-HL#uF>9h> z0$seg(^G5VA>@`KN)3@HS{((y{IsOhw2bGP&pKNbP`Rw5Qjv{Hk@Ku}6y$)P#`6We z$LUr%1S3;VuH)ijEZCv{no{KJu04KC`jRp7v?$jFm2T6IXeZF^NPwj*`POx7Xb~9@ zwnJ*0a^W$~t78&)6kd}Jsj$1F_d~Pci6uiDz`z&8bs-u~#*^;#lgHGMNA2CiN9r$< zIZtEt5vv(*bu!PB>;iOhlnE2969^cejpKn+g@vW%_*Dl8FcFK5kZ;xQhlE&w+(fy+ zf~}`I9w1eviqN*i3GK~aucr-M;Wn}EX~iOZ&g#t6>hb_Eim(Oehnfh z8~L7OxXFp1b}r}Cdx*tI4360R^@G#By2D(gWf3*;e0>H7=YucQuW2j@zjTXNGoTvi zM}8FuHS6om6BeAuPLo$^=!>X?szfZuD+&Zah$zxnd6QRQf9$D$XL*O zY7rY=R>7K7|PIlh0$8- zMK!P}V`W}Pi=vq6R19VuZrG_2aq876ly)hD5_h$by0X)oTJ_YD9+A>hqqbA8ely5< z4XR*blbZA5zxwtxTa1&!P-YP=;E-;PAwr}n5VYYH!W;t(s}D?yK?jIsfJ9i!v`-{C()YU5LTy8r^H=v^VU?Dlq5s{? zuE4RFgJ+x>8rv;C^6HiYYq~xf^0tMc=PU(-eKG1c$|aBu6>Dt0OyaGRg1zN9gBM3b zxvA;_L;RIytfsH*H*WAQqvf_*78i39tATUf_E0s~AvAQT#-2;}8<;`5xlM1YEcbU~RyK zL?NW>|NWD;9IBNIsEbPPGci0ZpinpGWmv!6=7xqlz{f5UW5BWn%Tb8&Ewq&n;EG?W zD}Fh>`X!tUR4e{(lL5zuHl$hcx|3XvA`|KYzdM=+euwp6MVFI)T{7*?{q(utuTK)f zyq_))dOq1=3y$NR`lL@ZHbpHg%9+k103?;v=Q0Jf!^Vv7uzsJ&Y5DCP6v=C1IsEKGYRH=VM~!Bb{9V zLE{QoKXIgPyh_|uDLw76fltvgOnMWB4@H1?IZa0i-li;_W^gop0)PNVMWEO(8VYHYKM$!tuYw1!uwJlg zloAV<4b4D&l~lV$Sr7&Z)g_f|<@(Q}ZDTy^MlO7Y@rh-d-{YrhCggKi@7`{rAE((o z77o5unA8oMpEZ*#Jf6o}SOSoRsN80Wg|T?cIKsdm(4}IwFQb=9HU%Eo1XA$`Ouj6Nx!0!q zFwD>Yh&+t({)3}vcyci63S9^}!ItQSOFI2p?RcpaDLJJFA}IYs-wR9`5EZOh_v zegjAtPs1QdQlpVxQ>XC^a!m_zdW;N3*Z+qmmAI;ZYOts0YPrUCRj6 zLeSWGgHQBLF->dLfg*Zi7?Ft@r-KS}A6a(QJKx6(chrCBI!)OH?u8xzSzE^C;7&Fg zxWsjoJFQGTwkp$amw&ud!zP+hL%`*o=>);n9HjcV{%>wbEk4;B@9nDXEQs1?%&eW1 zR}T1A`f^yvOdmogB^0kO$ZP@ZDdq!WKd-;?pMiW^dpKzKT|Gn z=8%aCA1)2EiQD`&(v*ATR1c#%V)VjNR3UuU>K&h@i)|gU>U|BS?Onc+J`DJ~n>6uQ z@Pjq1s0i0UQLCY6dLYP$s{a37y;$IeWyOJVfq(KlJ?C*iq~R_S4Hlm;Fzn(!qI`Th zXr-9BJxRVRe!^qYxB=9z8(dN_7D>m30|?C;+kZy_p9z}{?giSzKGZ%M?*YT`sj?r6 z&FHp-cI?eMx5zZ&cnJ}K!$9}~niUPG@bhA-4Eyp55Jx!tQhl1!EA^tm$mz{=r^i?$ zv}+zC4pFz+KFD>vRgF~O&h_WO(?jyP?m9-qEw&FRi&s#CH80dtI=LM?o>+o#Xf@U$ z(%CkTAX!(b=EYOi=fSwX1kv)N%NRO@IKHM$@`W$NG12t;*PnhObz8pB5SdDBM(UVO z?*qLDvX0f1x}S1XazZLhxW&oRN?IIRs{aa4+V;?&EY zr?d0o?96d4Yr+)J$9S>}D#f}VCjknle-OpagOf*ld(nCoCG*YA3u400z~=9WcynP( znSyFDdV3x`9_TF=x%~5ZU8s)&{E>~bB@dnqn)YIE5l{C>VGwm=>S@%bPv>y}e_#oJ02DP%7IE%e_V|lukE5sf>}p;B zat-e4!8qmC`{H-49}aVMQ{=hMDD(2Kh6-QQ1=LG9kEbC&z0tf&XIZ@P(Oy0qJl<7W zVFb9shtmG=uK$QYbY3+NR<=Q;mAw<~Yu0#8Hb8mMiNkFx8;)Hrzi!(6-Uy@maCaIw zZ!ErV?!sVN_q?K?tVd=8^?X@bE59FX5Se4mAruR{ujD z$IEyYZ*^H>er3T*Z;BPjkpkoZ2v>lQCtUsQ+=6AOdyTC{)s3!+HiaA!eprfo~JFEtcCHvO7QHTmOZ@y@p}UMr??08p)~Q zWO*~X%m#F0!kM~|x{TTEp+2=v{zMu+ zb7nmk)_>4@4^%Pz2r1-`(RT;&(=SJASF#r6c@LRm0J zKeP2W#E6ElwiV^bh@2oNYcpO84})ho-_DYGd$sewbmJ2F@LGtRv;h-L+F!TRy>BgG zuJ7TN`U|uP)jI@Ip5I8_JpK$84dXA$%A1Gn4Ba}|_2}T}(PaE!ynn#4V;JZ>fn{ey z)CtrtkF^pN%KN%Pxo3^MTR!Y0ratK;k;2k&;41)&P^~AXs!BWf=?3+^e7mtWbJ}zc zX|Y&gB)@Gj(-ldwuZzThpXGRDai216)y{B+g*|#6rR9J?l!S)fSZ3>#63LasRHjAg zXb5rL2>?`L^?t8-?4unSVsDUAgOJ&J4SdJS9F=P&@F-h@D`OM7POseSq3qP%2OR+b zkA_-xH9-N0ZwZyq>Q|2;DKF?LL#6kX5oChwTk{K}6K?#2#)SP zf}^{Q;PCDvIK0~k4(>jJgI?UJiyGk}XQ(X)dWg`%vk^Jy`_rF_jMnKf#CwmmW>AYg zY>ZtDd((Mxqp@Y;RP~);&cWn&tLZtQgf9l8Hc@2o@ziNk_#gOp>p)O+)(yMEHM`TR zU2F%|JKDK>a3E#4r_%*kidl^sRI^3@@GI#|QZ7I?(%x${TxV3HuU?KX8c>a3!$l!u zHd=Y>*{DZdL``mwd@vGX$d^^gq8mMR{eOKVDGuDVv|1<0+@S9o*bNT%qt^xcd{UUb ze-*jCSjYL0ncYI3!J(#$jfEt7Pn2=jDsb=xos<2dAjf>fbd&R|ti7apB z)^)gcIrpeAeO-L)670L5 ztP{5FE~cE&S5@hzkTpKvro()0RT9nfv7H?N$P|tm-KKxnzNj&8v)lHiFZsa$( zcDCtFC~}P7R%)Rfs#)E6?U`vVBgzr^^Fr_5)zxYWz?|=ngs|I#)6?$`gk7=7iYcn2 zQdcmd=0WqxPsPc4_-cT(4|&h&zDBg1D40&H@3il1oi7`G^bp@r=Rc#&zf5_O2m;*j7{7Qm2=&A8MnT(BuJZcZ22MBoYP^bXdRnJ~Sfu%n-A57c09Ydra8 z5x|5FSy?PM%jZ!2Bg|T6d0OsuPxXVS+a@&n4sLj zK3u_e)25_?o8@RX8rzZ{nhv#PUninq@0FzeQJs;82%T4+#CIld0J@|)A`_b2^FWVwz+8cPqpyd5ow+I zfMX+ohATEllO3*b&;PzJGP~9iikI=X>ctQk0_fusE7{vf7$*na&NMEos;1nyYlBU% zx@gBWI$Sw!>V;-F6$h2BWM3BL2H0F|J?Ta*KOhx_b=kE|&EeQnBQ#e)CLM|k=sIt< zKgA7>WB`Vn%Yqp@oDo|G!l9R!H1M4y^ST7)*qD09YI($qoB8K0DPm6&dfm%pf6w%z z{ta+I)&9*VA6w(5erH-jhYXk*BAkpEXtfrp z5dx?qO=gK(y{VRwRBGyuC%fx;iKX!BU+_|ybW0g1c85&QGPUl3{iWvf2L4egzc>p5 z)wLC~KrHJD)VM~( z{`x*$ZC6la$=c|k`n|DEs(QZw^5McHK-x46728xz^E}dzo1Zo>Co8r6+c2=&S(!NC z4CjJHuRMreH@enSC(-jXq-xbu6)z?15>|q+a3}xdWNNI5S(E3HUX^-Eq7q5-4qAcS zAQiGkstY1?XXk=PDbOx%>UvvcYG}LMh=)`X{M%I5#dU@n<6o0VaIULcDn@|Hb$W&F zlv?(Rv$Ki=D2s#$cEUh|T1jTxb+0zRgp;3c*D{<^i)_?b?yb8E z<%Dn)-GJZvq+W;b>|HTfA(|n#r{%OXYYtLVIO|SB69Kq#xH8(zb@ir`WaC#ti^F<( zWFghvQ`|j{=(1Bj++;hOw&^snWrj>bVFoqowFq0waWR<~b(1t2T7K+6m{u}DQW90u zPPDMJ$~A6c5vby$@Jk~jvF~b@X`KbWbANi8#94QJAd3gOF z*7E9drEN+2QL)l)G#&@zQGB8Pc=2o?HGq#?$3QW1I{+`of}0JQmkE^W<4D^KQ31F6 z{Tp<@fB)Sd-k|%#`|tkv2HhXufA^<1=>GJ6y1)MOT}w9t0dBH*``OqRvHFT$VGa0m zT!Z1?B3P-+nhy~WGHXK6ypUiCW>Mya+b5UO!)Y{LjOy~?0NtWQZfOyeb z`60y|R(B~S4-L)Gjxz)RpBLL|qsH}y8rg9nC>B;EP`jr`K+tduRq7#hCk)B#8Z?e3 zB_O?PB>F81;ATH9G{zr94N>g#MbmK>Eo#QJ-L7IXYLP+0M?d;0>$`D01t1 z0oQ-mVFdro=z=;I2~uyFuAE~;u2Ua!V&p=BAB)1OubODHy5yo)X?7WJ&y$*dk5Ke< zHeT-3(C{{;TakN=Pcqf}Km>WRCs@h-u{X1h`}rpHIO2S6T@AGCal~bvsK|fT8=vuo z%Wa0>i#@W`ULN}<%@Y#$_=eANL|xAz^r0Nz9ku)D;~_N1t1yzIkNl$UZhShP95(P+ z_zVKhZ6L){>0Amb*dSRRCVvN?dib={ikpLF6+!_Z^-463#Va5@XPx8x%_e(?>&T0`D)7@tzq? zClq(UD(jtwPcrway)A1`s8&cF-E5$)8EF8b;la_!<_Hgts12CF-*2NDa|I}Ty0H6T zYLXVkN|UMB#bch#n5}7i7aUuiiA;*iwhW1k9L;X>jdYqfOOHkpK9`^RX9USjbi%;p z66?z`61N~aG+_^dD9LtdV@>fE2=9ZnR?Ly1@cHXK**an57`)ox_SGE-xeu~V%k|~l zRU1#`KoZNjY-eTS6(ut<0&vF8kE5ee^!;e4Tjd|eqsF*xs;fm>={?L3NwKcI#_>Q%H4vn5RmV)`x4Fpu4b$?V)#>|r!0)}83sl?a?n>ji9uUS z)BACS%BASpv*@MzzX%EvWG#ZB3q8aS^lyIT<6F9dlsYNUi++W6gqkU7Tvo@EZMQ$9 ziSt&cY31k)*|K*M(ZZEWPzPnhVI8tLgDcDlhN_`v-=kx6Rs*{Sde6C+d{*5s zl@%`T^2r>zGHKq$xx5E4ebOy;vXo>HX!d=}8Vz546%g>!#U9}qB`}#)CnEIv8?+#& z#U&NUG$umL8SQH24$+k6fUNT!#X#y`f-n=7C;&(7G)c~)K`{Wh`}|6|OxUG|&V6=U z0!ZVzOip)@pSgxjWleDbP9<7tux6T!99f~}7wF6wzYP0LJ+?zTmNU`4xr2kS;|Ee3 zP%wXQB$G6?hd($$`k|RVoVrIlSgr0>tu+c7C(w3X;fjq_U1Saj9dAT-Vms;s@aC#c zYNjR4=_-6vMCb%hy^?XME2QW;94k8o;`g(-EHbrc*i zGRgwDvyg3te%H|iGwHD`?`gws)x=~r(HKXnUc|>?dc%_GXjC(|8WlISX(y~IF7m!#u5)#r1p%ol> z03jY$@WQgN5?aA>5icOIf`{{hKnpx9u)_X}nf+#N?jDg<-P31vcDmBT-Q3*V-0Z)6 z|MxY8gzX7YA8CyKzyUWuaSgvm1qQFr7_{_xJj;-7NVNrXf9u?}H3fh1e(8%~z$;`3 zdK$L$B1u4i?LeZl9c+;RL_wN=ukmerm_;-sX zIKdu!&IWGrgDs>k!1+~6pjvN?81qh4K-twbP!n5~RHU1ApTg)pKk*~^=u1MK9C<{gL#IHsBbuyU(~qW;OKc%g zCl*Y6$s}RFS!0KdjI471ZiGgpZ|XR;l?}-_>omt+>_TJ81(;B4Z6@TZJ_M~)T-p<0 za&jHrhTTNDtWb)N`~_>ZEiRVx!98W8SBUBA?OJhx1k^H>q@@ee_JIcd|?5t=JBzuU;9>E6%kX z9Ub=A3sjbzsH;wkDf9}~b00q<9B%ffj2yu-0l%xND8Tj5zy_vCH7V1jv?7s*E2ZMn=}iv4$^=4SIoCUw z+B^067V8Qhy3~|ROU#f|kYQ1?H&-*!PB)Z~EOMA~pg<4*gn9oTU|=>`rWH_aj6 z=R64%>*I0JN;4(8&one1Paqeo}ai`)&e{T?n? z%CN}va@kzo$;H7KWuB+W743jd0R=V0nc^NQWU6-$8A7C*m=qh~ncl{wn!IszsXm-y zGQWZxN;1s~`o}QpN3hoq{N0QD=O>s`ivybQgbSsVnIxxzr@D!wep$tuigNhiaR1)u z#1T%HvKD+}IWIt2tULBfF@kjtMQ+L@1oaj5UX+t!flgRHEOI`kN};8Ac%EeHGrmkw zYexWPMn^iEaTRP_TY^opAGd#00Z1Nmx_=iv5ny%-W~zhyG5WC|CppBrAF0)JQm9GyMj7KsCG%AMqfR8l(H?h& z`^L|<|5|zJ-*A&XeaJ*BqkV{vj*fdx%rdQZc$iq`_dnTAx$RCbmaO-Hn74()4O@&@ zPpi#lYx1O0Pu%MeZUY)#j7#tv>|ftUL0?}Qd0ebW8o6p$vC5)Tcn`zTUW@@t8f-$?)B>o{pYBYpLfJ{4ec1=%! z|ELOZW#LIhoUIZTqA9SVkFuA1janemJQ8$Z-cxS1?($1&T7Nqg6wM;kB4p;EpwvH{ zYa}je{|L)TD9NTK+rLdTfS{GE4Sf8!-sSn*(clQr$kWjfw82~?Disc)n4DmZ6~=?H z+z<8+52O3h;gMedsWWX_@+%S_NsSOvr};@Z2kVvsBmpHaT?r6sv{d_qoRvsh|}z5hrI!KTQ?Mlpjq~lc(MGcGfrx$D;5QS z=zw!R^ak;T5bW8;d`w0k7iG00_uO}xE$6X()0Nn~qhxqII@PFi;j`A>9Uv))773gS zPb6pM^j>p-*)R!xoS39BFmSBU#YS=Z8I+Bh2mpN@uP${G93TnS`hK@cu&R9-L&Oyn zD2VrC3SSm8HhH4IqI1k+#&DTPMT<}0jDZfK^tjKe6nv5RkuHc~mgxXG6g z3xz)(5y?^X@ER+tCy8pa$Zxi(Q~D(aNw_^GO@gq!YR@ifC#HheuR;rIf*`8p~9!7=HS`hmx1_Yu$dWh;R4C;t=eGdASbXKj# ziCO%bjnAiXBYmL>9{t+kK8`&Mgf&cmSE7&Pr)|P z>jRYQvhp8Y5V9@S75cAqqDBzL*?8@_fTFLgd<7C0w){$nrRX+IZ<+cYDS|Cpp|au{ zbUDU`)xNkM)8B>$2@K?TvWgy9OJ%AHPxyn_F^~~VTv!Sb{8b12sY5mpGPRiwlrmKJ zn5NZ)cn*ZF2Pu?|*Yr_4i3TR_<#MY=f z{~g^{vRS_5ikd)d0(m3EG$LgK%@>T2IF7RMhslpS+KGlc(SfeDHkE469rR&KDH_G- zHX&jCR@n+*OMd$){5#Inlce#tpIQVLOY}(co(u)eoXM!8f?&O^Doa0RRmALm+Kf6< zoxzCQVLppX<>oBuFBs2NvQoX$n=?cK)r`iGEArik=VxDj84(XqCFU!38g_hQ48b1i zxeCevusN+Qx$d{04$%Onv6!xt3~$*&S)p2?HB4D2Y8)2{pm{VfiR1eiS?B!##^>8l zjdS$vr@A}v>HyesBf?AHe)<-5b&jY%7->7zuSRDK-naFA(fIJtv`!0i6@u~T-wYE4 z53F`8eySOb_S7tfnY=&HTLkJ4fjm5S7~6kj_D0T_(B329i=`t`gb!)Mio1~;VpLD9 zE|6#NQ8)JU?WZG(UGA!m3L3~EjmJJ@n99i|9gZKXo+J z>Tf_u;XojiF6vR#33gTkj$?`z?hinDs%Gs$MEWqZ^m{yYr{;m1>NRz|Vk>egvBUIt zttG;K)Aj02P3t81{?t;WX5~9!zK(KaVAyA}r`tc=5Zfn%i@!B6-)3cPbXJel>iOIr zqRjYZ)Ud|WVzp!U1g9jfUjbB%OLwW_?I`+8R`+v`C<{jP3>K*h&0gli|E-eoDM~O zx{xE;S2{?%LH&WNG^z3rVajKK! ztJH?Vm}UYF)v72p9S4>t)qPDvr%2q0Je0C#Ol_?tI4U<8Gi5ye4Us<{MEy zG#PKrMMPoPe3pzOO{uR=^>_rDI25^$f*qF@6$IiLprV0OV*ZwbDEdY#?_E8~{qxV#I7>spX3t zQV^Alr%fb&){8YWGJBPT$!$ynZg{Gf6>Bwt)Oux7q{_mCQ!M1A#wemQ(w>$hUT2B-8mq-!Uuij zJX}>vwaOwvEA&dhkc}jhFkj7g*IbP7EtzP_Lw$v=0<%BwcsVWe3n#U9^q@)%c9XVp zIiM<-S7tC7wrd{CgRQJ{#L-ZcLm^o$h;?*w% zK7l(S7Jp2)_W>tlO-~ZKMtjaf2muagLuif*5egCQX!{WvWF`sL!Nda>fi=7f*3`p1b+b6!{wKdx6e`ya z9B;GdH18#16H(vTef$JzD|YvizS&F$-fmJ%$X0_2swW(>_~!b4_Uq^y4GC8JjZ~!E zI|fe1qmA&W5<%0ld%PFY6q%=M?VFX~lyRBI)1-`jea-+)MN2h`KZh0P&1(cmUj=Lu zCv>$r0_g|fD!V+uFIbS_E1yiQ_V6IV=mgPR*@&Q*0igJqW!85Y za{?G~M#gT$31t-x9%@TFnTA|-^M%bbGPd6^r|i$^Zlt-;UH+mo6qbogJR5CKIKb{> z(hoG`-qr5lq2h0S(CB)%O=nBovT3+>*TfHIK8_WjIhYPM0(yT{09Xi%X_{87y5uq!ZO&V?{~l#I zwNU!)ze?4Y8O~4>U77>ah6jb_bJ_}p@dcrsf^W*Tr6>@qo^%BPG(QK3Kl0ZH@!Bn} z1)&q8`=onbCK`aMe~y%;M=#NdjD5q;#UjPZ_9302Uq_!s-%u}poqW34~1XM#r zn(bSCUv^-6Bph5t4|;w;TC5>-5^XT*)vvM^xkr6Mn2m3<%x05aOl_M_+8$E38z)%- z3E@@Y1wLIgf`2PLZ1}k~-;*mil6R03U}9o9;)~*{J0Rp=P$Q9pgKB}HXrt+w(+%m4 zdgSkBjaa7n1$d8^(KdrrPr6ugz_>SXXbn(dIssxq3#|}+m1O>4p#e9xTK@WOJbXag zQeGh52>|NxRh(uND!={9!5FqL%GMCn-ob1P2RSXt$hM(u05Ru<>e%q4DU|KtVA9o! zs1uwhHcSJE4wvgZXC^Ln%C3%uexN|M2wda#A_Ci8fovz!vq3}~D<={^Kea&=+XV4L z-QPBL4fEBWVghSv8HiL{N35(xrUmWURk4y)^i{h_hGr%v693}Itvs>#HOBB|sW)3} zN(m+sV|6tTCk(&l+`PDlNpH~OPLm5PDg(plk_{suR!@?p-Vt5(EKlL2L*QhQz~@6O zTnpHD)zn4FIT0i9*cN{ssnw@`@M0A>GtD`GT|E%WcRNJ=)xTJAj6w(#dK!ez6Vc&& z(L=TDfP$1m!lJz9v_gAL4beI`3lc6-&BP|AaX}ZNJrljH1K05GvuC@HAIo}tkPr#- z$AYwo)?ioPo&7*L8o|3)M?nJ-Wvo(3l2Kbj9RS3Whd@T@0Y_ukEPd7e*4N@?1m&|Vl&zStYR-ott2su!mwyxFf?7HWq z?|y6}&DsIFU6?wQ%2}x~hsK3X;x%%+PvhuWoX=up6Sc^SWuh3>Kilwndek< z3$wx3UWt3nWhtlm zS7B&hC{Hj;szGO9oJhqyMg~ouku{TNz=M>MwFZ@ILZ`s#9$6B#m^9eu<@z=(MJT#+E}i#IsuOt{L&A zbUW%X!S09__TNp*IT>OXWfuy0dIA!9`MUiboXjn6KaL)O9%GfIv)H~8F!tK^D=X!+ ziQ1FcA=(<1Do%~fvayNf|6t2ij`&j(ZKI0;oTl-lWQSJPsi;0&rmIEVpzVa!p!rR$ z4s&7j63iQ?xvv_lT6cZ5L#`rhtZ2O>WzTtkfs+wvDuuJ)OM}*$H`KrJ(MEa#GJwq$ zTbtGu2ebu(bQHuFh71XHH36bfBb^RMZdTX!hVk7xyoLP z60OK!l0YFX$NDR`f#_vf+<&9HF;b?zj;O$kO>iX6xkjtzMDRI{j4B#sE^VM5;kSFj zr{N=fUn~$J5A;k87zg3#d!jC%@hPz4tS~lt6_;xFT6s7l^Tzb>C|3ZJ(cY$_rdVg@Fn_bXm> z^ssG1V_+)J_l84fEY(^#nde1T%x-8-EmH8zNcF~Dr}Y&%QaX4TdN;V>%&dF?apO2I zDDcySWVC0fvllFfkSdb_Ae*V`CgdEkk7EAth>BB)-87x$VWJnB9J!QVp!e>-fZO5U zk1EM9vJ!D_%>d0i?*O-8G$6cb)3T-oy&hKG34I_386pL3blm7V)@ds{FnMp3$^NwF z5ZgPB=#ImK4}MEEwmTqAZ8HZunrTzR#(A%3!Xpm{vZwph)6wup*wc~I(*y45$&Y?a zk!mJ7{1NtZ-|6QO_H#J;(RcKiI(qt}fAc5U(b3V5zN4pV@41RbKl*+S_pqZs{x?4y zVn>HR{#QR7(YxRO@%MBed%C~(s4m#Om|erME}{SU(ZQ@a+xiC`s8i`g1wp71YreKYu!aW#Xexd}P#D_s;KaUEbSk z07Q9UsGfu8zX3vkp=FnrK&PO>knWZG0xB%Jh_}1yz|SlxG*mf#bL_?s@RdwM>ns-@hK<}()il+C%}!>fotG} zfG{Y%X7wQOkTyD$YO1nV^zU_r^;`yS2!WA0?#wUH)+rn{Yz0gls$W}xqL5k&)KF>k z83AK-JX}Yk=xDI*7Rp!PxGE@Zn8dWZTIifBNK##=iv^cm(srk|WxNV;$6fnf7Uwq2 zrfIt1ppP{!imXGZg*wupBGN)ANvo4grnLyOP9V}+1*jp-0vmd%+_wPX7%jqiT?3+Y|J<1bhO8oO4M z3n#AeK>2$Dl`cr;Y0J9`s1Ex5H*56dj?cW(*eYJFOE`bDCv>hxdwcs*hPIhjjem|fQfyrn zg_fVC=rs~Rdk(EIKdbZ(L`~m2PNB z(vkX;^UwClxkC5*c@0bSQ5vfmaE8I1(U3$elD)*t5i3WXsxHofkw?;KzBJc=Zhkj~ zIAj-=TED>YH5fcgoWfvFaV>-S?8W8Csf+{Y&l$n?qGmYSC`LvRJ@5JNNMX*`eq|YW zFu&2uB)hluh5cVyg7HMem3xMV^?>i3U;Xl?-f5Jo8x+wvsn9=p1oV;Gr{{D&uaCX-e$jJATTnj&D0Nr0 z#*CevW1{aqTY|f${dqTI`v<>2@DZp^e6T5cysKK<_U>Cu(e5|@em(ebGw@FR z_#iXzu6O=WGjQ|!-~KnB5LLL@_%+fP4Z2184&c;K2?+)tpqnp<4_gEQp$3y;2@sv` z$zYfT>OQ0kspdsXHciX;T1T^;y@9L+Q9y2ZL|w|2=x5Q0%h`vBKi-M@ueV+flpz&`is6}3OJ9%Ic9 zsmyAjt)7SS)*cliUXaCms;vGrtC}KJbRwAe_6Ep{nzOue4EyS(YJM^=E|WnQRE^y? z1G>f0({wD;Fu*Jht7Do_QIcgC`8qrZ@f(p#<%F5(ra;LBBD?Lr( zkY*|IwQJX3!;_yqdvJa}2ui#-Z2Cb=qK7adIs;+m|2LE3F!}Ns|}>(tsw0D?*8wHiL2#w7d%}(y;~0>{yq| z+YE$G%i}P>Q{Y>hopo2dqS(mGh)-wZ(smI>e`pY(8t=Y2;J#}xEV6#P!T6r3r~W4* zs1@|brog@e$@zeQKy1oO-K0@k$}A*PH=&2yi7nHdm@RC#x ze<*Dnz@Y&=I!GVJR)POgZ~wE_x-*_Iw(O!qFnV|xktzwxMPq(hce)A0EX}~Uk z(Q>gz*liP$>}nU72pqez^e$qt4zRKiKf(l$=V@rfoblhQE!Gj(;mdyC`k_q zOSLh4m*gZ5dEwl^LwyGb4;-L@S$K+km%bm!g4Qb2S^kN#t$MB%0mbfP2 zN$qq=eCh54(+fRGx&;%yDAn>)SmXwHe8vq9;xU8>jVauGP0d8F;w6{{HU1e9)nzBf z>m_I|ffGA2pUu1|vMy`_@Ed6y1bABMYOQm<=DJ$dq?mkyQhBikftXkIu==n zx#dlp%X)fQ)?=j?G%0&d%N%c&pAu{~*16OD=FU|F_#$U0yRN+SW2v)WUa8cEPbTdE zvnLtWv^pcL%iQQ=qHA-&UXaaeGdvORkharC5t(kGtlzFuGKi zsj@cIYl3x~?%K3a+D?fjQ^FlwT?rzLiz8i4AANcL!d&S{3YTl9xqG!%i#jLzAZguS zU^4h|3Qs!m;RZcT>;wJZ(QzvB$ql~>wl#u`Y*$;%$I#hWLlVTbe!coWcIVYMHql5x zjeUgsX%HVG`W(!_#e5ZQt`ha+%X6NTz?fik9`t%Gfe3=zsv-1qd~kSASqQ_uflUU| zG2MZjT&YN%;&l3YVl;W+_rWGz|6tudIoXQ$5xD3at!8>tJ@M9=&)N25d4Rk)S zsbB@R@sh=C+eblD!RP~942kW9MnsD!0`mxCdEtJ|_3r=QN9_Nw3v6u)y$>6p=1S7a zL-^B#%ugY`u!1cR=Etd~-t~h^5LBUH7jhU<9NQPkjJ7J|@kKBw&q28P|DLZY{IHN`?_iS-vhD>J_!g|LVr z&BnasyU1nQj*yvJ=;^=>ItMlCe|7$N5bB>Y&##Gm?qQy<2?`3nqPkbzp-WU0Nt<_Ra1Mte`)?}_?{TC_TRBEFq0YY*S!oUmC(8#nD}$(v8vQBUMMwSUVc z6>@~}Z1giyu)4f58#b@Yo7~nxRKn2zrYlmJK&;$)HAjq>XdZc*fL^$XKc{cBB`Eyo zMpb{J&CSyBznnN3z=HSol) z#Tgc=1(2Hu??%D!abM>Rsg&8uFYxm{AN(giWanJpTzi~5q#(m#g_ zg(%guSkE#5j*Lzm{hqK6QN2G#gUEJ;50Mqo+8K0aL}#w&5L>4xRF{?zZdQJ8w2YAL z3?1q03$)hMot>zPAwy}|E=)T1{^sIzzR;XabQW`EutMT2XUU<{{evN;fqMCUU|zkD zw9Z>8)b-v_IQl7vqy6MFPD2b!|3N@l*wqxa)PF6-*N~Z%s=`jTq)YZ=czOVF@`HVc z#dk9j-xeTJvu0&`!q%0j@>Sn3d+V^c9#D**H>zUESu3#ZS-^lI2#pe?$&y7#nSB~& zKz|5HvwhV{35>&h!cxtXY=uFpVx<-%jqDo;cH-SGYGNZBq=j<{QA*N5m?BR%KsJWi z_L`YCn=`6rBp^aICAa?)C+AN;sZUNv;#y=M{jVJ8F4YJE=cS!z`#^QOf6%KdRO9x@ zhQu^7%0+e~tLajo1;dnFGc7YXtF)a$-!95p&suFBddcAu?B&uEnBpIFg&K?QxV8wN zgEQE@+L_d8?ziUYM-j<(y${5{-rfhkc!NH8t+~wUf=(DU|I(QuQdbAFpn7dL3}_D>=Wq{J#{u$W}-7bcrlcn_!$N%H?- z=*o2*Xo0Me&C_sfFkqVI0y^k+1fib+FR*ctGBzv*KoCEZsgR2b4RCvp*I14Ov z%XD(t*4jonld3LAz(hZrC2he@3~K2a&h7yj$Hy}4{nGOQt-4kt0>MXe z8l?O4dI($8;srwr4jHbk37Hky)L)phse0%stbOpgX~E~l?s@>xG~?ihm@jzjJsKUC zMgEN9!%3&PC-N~>IVHD)50bUM4DP4yRm*4m;?I=!RK{c@`| z>GX~^57Y$QqD?xzqfJl%)_%75N(^U+{M{1BRJMe}!2H7-$T@8b4*iV!YFOD<_paJ; zZiHGfWmEIFk7~McH7~%HFY;;!TmeY`-3_3+h*K+3RvMb85Cagltx*)a4u(QmxHimy zP13;JER$xBojYqX`Y9T&31ga#zG8k6=g1jF+-mSIeq5us2)sf9QDDFq>nXl~c#2pl z2;V{`JiBRxT+jt%$Zp_P8g;G?!qCSRgU`3+NK(8`SvuO$X?dSNc6exWXFVxtA z)%y7C{0Y0q7nMy*ZFavGbV>gODJ{bNv^*@jHO(PvTYo3PwJ43?RSUtL^H*F5Y+Hd<5D z$B>QRsr44Er%tB_-XJSI@zWfth9)#IStPFLMm z#L4N?eI4#rM(#9SFKQz|hl3$ivYBhSujd;Hgoh+qo_pFd+C{Svsj(-d% zhfX^;x*^q5AX=>m!jPrOJcME$t`ku;7BU(mQEah?6?RHXdHRSzW1p7r+ z6lG(En|{^P!aR}Z=BmT1uwP`ZK(RNS)2~H;Tk1yaC< z7Z3#pVVkl~Lga}01x9;^anB4+R9?M<(zrui0eoZglL&Y-)qtYS9iQCF z)D?y>@CyohEE3pD1~7K8wgH}UoyF0M+!B|uz3G63YL!GTSjgaOk{pt8K%7}%xu-Lu z2*p*)jAvRy($aaD`GK#W4oP^5{lL%|@M;0PWztTGedrR}m6h0scTo58fJvtEg@LmUC#!CcJbi~b#w&~v8lh_ViHlCT zkM#M^3x0i#iS4+8$^y0E7g7J}ZL~-&bHu7Z~tuj zKi+qktcZ6P^yE+l`?C8@|bMiW^&3$ZYS* z5HooJh^8x>55i^kzK5fTj?j)ymRz|2D-6nSF>HQ8q_&GC30(u0N;!JSXlJ!F$m$B2 z{a_AM$SOnUV9+itf=GS5O%DL!)tYc&6Oc;Ny}bk=Fwy8Ct=lEM*a+$>=gKxwv+4?> z0DK!Yr3~K+7;-wa`P#Qf;qeR+9230IC2NL}W49#c-7X4%B96+n8g_)2pg*IR39{zk zl~1sQYyu$@AZHVA)9}$~1~cLJ>CwP;c2zsO#l_m5w|U;Wre!@L#+T{3GFJ28`&aT(9n@lBjtC}ayzrd8e}_UOHW9;3J+ z-N%Q{v@n&s$yE6mY{yB8l2MJun%F`sA(7Iy=sPp$hXE5O=e>L3oKs+AHxBwqtj7G;Xi-!)Px{5 z3u~Gdr?KTW(Dk|okG~WB%313lClg}VAD-+eXX@yvw+7PK0d5V5&%;TL!jWAAO< zcKv|LCKd zyoB98=gR6TD9A&U1!7!Ij`phP(HWO7Y=pR;#3`6uze#fwfwT6MjN@5!_Y@1=>0u2(jiHC?Zv8J3ABb+z1toFnPmQ6M7hsQ&n;|JCsZBw}lO>qI zRz~M<)+sXjP1lCkt}JdKH&LuDQHr_(!+tk;T&)n>cLCYs8>j0(rGMTm#zp3+OT^Tk6%cnks3YK;85S6&q$NHQ+e3ypKF zePzqVp(!lw2Q4gd{31>>b-CtTtFRq!cQ=3z{4GLm7GQ3OuZpsvHy*;W*tA(*Sh}11 zUFD-m9S>2lzHu)%tV72vMHDZl%_=2cS5uO5vN$+c(^TVAs&e#Rk|R*oj`8sB11B4f zk5oNNkJcipyu~9aatZWEnk`Fa?iuPpT4i*K_7t&9ns@PskuLqI)(eEh1Umw$$o2TG zG8ZEBZ77YfT$josfUn~}|45S;h0G@}p%$klZ0XzN(;8$n92ywo%jxz3VxjDnHQk|u zC{Yb#OwE^xA?f+@;p>N{Im}k9Md=kx*D^PtNSBRTJSeq4iIL&(NwF?X^JfoVe4ys} z->rrepVN^@{Eq^-TTz3(o{et|_O&%ju!0oyG#Rf=ugD{(CIFkHOoLZn4I(^|AOp5a zMi-3v{GtwQKb1>4$jMY}02oC(cUH<{OtO#21CknSu7=lW8Xk0v#A5BN-(2K};Nr!e>H{ zHU=7N3$HlEfa37fkOem~kgB6I7M&&67JCuY123JzM2>b zlwlw-9LLVinQ}o<7j}}t6B8a=brU)Aip8=_D`U~7THUkXqsw{&T5~w3xyuG@D76}o zHrfJo7isO+CKE;zd(YxoUO*<6PwIg|tZWzJHl$y7IRdAjhfmd{)~m?SqCJPeGbprb zMj^|L=643hs}asIi@c(n zgy?)um*;1rVgcWV+Y&M^;c+oK$?zHyOf*4ICg!tZ-UZ0QUg@`$AlLit-$1K0o?fAq zSvO{&L(>$cL~VfEQvU%6u$8q)#H6jOgL*kBa@e_QN6iIQZiLx1MUp!ed~!f11+kV5 zinG!{OGy96Z=mXKV_5)gYWvfv`JBSTA=E!!PqBX>!`5#9H4=n@2+c6$ zX^`2qLF!^dDUzANTB?7Rz}u!p>Y_Q9ba-~ok?YA6H=x>YN-$XdXILZ;oeSkGT4ZGNahL} zsm2QR<)WxCw0(MfxOLjY0QJ&%kpgetQW?ONA*~IjK>BZRXT#LTQ~YN*`4LQe=nu%` zH->xa$Z?P{y@6rI3bTa9>J1Rj*c$-4PA5^zC}>5XZb zU_ypY)03u_kNKM<)$VIn)p%3@ieX`(8dGmYpd6+dbJ#-RbIH96;n>Qo51uWE-^smk zq9z6G+cL@ywcfmH4et$4qyEXEW10;w7O!}?>NI*;w}*o3Adeq9~(Hacu^J-ws2R_lUfic5mb z$#u|8yq>9HhUJK)2bSHndkBDD5CeBq6&EXI0Vb_mk#dVI!ifl-SRQW~Pe`st)`>gN zaLBfc#nL%ID6Lg-;f%p-$Sf63DB)dnfls zr`PFHFIv@2wMxuap?u(3LN!TiSOw`66gmTDA{C2trUCJ4MT5%7gVxf%b0io3>Dc4kQE*=@a9#PGDPp}~( zW)AlOcrlQ@R!T%IGn{inigz+TN0u0=Pyfp@&S43FipU%qA>v-Eci3S9W$+Gw-c3Zt z7X{MfE!PAOxDY^M%j=GoSFzAm1?mX$CFD0m97c-f`99XU#9H# zWE&}_2964&x?~2y;7e}*O$;R)Aq+~Daec8<(^HQyOKlFfCI@ry%xV=<(9nu$W)&PA zAH*5PJVr;yQM~ZgG@`})J3SENfU1VCND*e-;rq4(U4<-%sg`R}DZ#I3#UV=zr8G(< zsyP@9t61VXU}q>R3(6M)+O)uUL7W0}MP8H;#EZ)!vqFIv@gxOtpeUU>uS)Zqw3MJf zIXlyHz)GQr!Q_^yIICPnNSO8c#fAFvU@L&vjq3!*w4D)e7*dX5a|oMjE0u#4sTqio z(4RZymT?Y(hZuTV)3$A8fMB#Ql4Nx+dIRg9GR9&UWkJWe6Ok&0Q-Rdm?YXKZFbbZW z2`04!G}y^yOj&Nke)V?9U_0j5GEpB$eo?r2bu5)$k?DxNt<-uy(a|4#Ckcd0v*=7& z3G19YRNn^iaSd(FEWI)n9~QKF?&f`)w{TQ>k4z&ok%!B&1)*U z#X})x3DcZ?9m%4YfN?S*DE@LiRv%cbvwgfzK=S~G~%jcM;Fpnk4ztiuF>4tU}@w7-)ADxYmWi%r=CZgTt2d?f4qpV##~)W;p`oN-|lhMVw{ zc5{DHlg3OWGge*uSNqTpMVWlydMEm$wmuq*mvgngOcRI##nD3)7)vLWn^HdurPCQN zUxwj<Vp4z}CeDD)ZdKsJTqbH3siS=1plg@=^!6_>lkfyn zg-MM^-z-C4{W;*MPgeko$>M8V5o;13Ohb<$V|V-4 zJJdVta>`t1lGphBaUt_$qA)gNcxvpX_wA<;l-Z3;Xy)5bS-e231QfI3@BUl$y)4yP z$eNQZR|ugW)bv2*Rwz16JlTO2C?FgqNI^vd9KH%P;b}=}1t}N#OdZ&9tZn@A?iXCH z%{5)&Y|FQwg8khe9uL$I{49b$_&z()@YrfX`SRE%9tZvV+VZY9KVv~0MRl2Wkfag} zol;#&TY6@uOYu>!)?D(IBjd?DrqOHBs}ju_4b?!qxBb5tBPrUDadWLp&#VdNl}3Ae zr_twYpf!neC@)eA1m4$}DnP$n#$M>ftMual+KN>lp1{{KSC(KrDWMD2U`X&z(YNcp zz2sE+mBlPgoP0(FJvyjMCSCC|IZ09>4NDJZALXF+QS6eST}hgOj=16P_BMsER&jKw zHo(z|`k%eirY`Fl;&k=w{2``V!9!*BCpFTC_eUr9_f9`-H89_$Fl(S8yos(LUwfAT%X-^`(^M@rE;=Jk1)|>M=11$V8 zs)O8^8#Ti;sG!A&-a^Au);Wh)SH{z#%HpdiPk^#q`S;3P9qt`RJJH)%If5&74QMR) z4{PF2cb0zgW^YeiCQhXfwCB;NA)y6UR}W7Qwt?z6Q5zqcbEy8rf`Z$>2R&vZj#&hj z4=)kVrGzYl7WNV;~fUDDeKA;2{f|c zxTi?TLA~+VedZL@(oT;$cA4J?G{ zCee1W&L>)1PpuR) z5YRTe4u;HGWfgBS+}lHm9W^ePQEB36M<`GQH(>ZF zb~;EEML+4n08dpnEHr_GATca=Q{#Ta`g&utWRKru^h@lE(7C_gHT3julWZ_muhMds0;B=!uyJAhqmO-on!KKz2Bw8_$`Uz-0Rh2Ada=-Ggy)u~&#G+x8L%phftG?qVBoLLN zwS}n8Nl5XC=M?ZgXs@*sG$9c4t6mULUj(dil184)ajvO5BC3FlawmydPok(cuWfK- z)o!z!TU88ARi+8%fJjeOj!lSb4sP<4u6Zd#Mt2??`vK+CS`|s4WDtlM&Be~1OW!*U zNeQL&h`HoJv6#?&837;%C;RUkmdPfY-usNmy02M2;O`mIS=^+y=MxLr_waPFsjhMD zdoqJufB7{m^_5`=d*PVu0&{<$9ceB*G}AE!+9{GxGkGmEHPLJEj6Klv*2F*oQRh&- zTA8G)Y7tY#nlXAcFEu`wnmnw-CoO`xnsF3+S)}Y z%?4!-?WH!g_{C#jNLQa34S7$)SiEuY;sRie?ott??I?&_A7YI0_MfWFM<;qogbXm* zyoY_eR?he6V4FGT;(Em7t4mK4CtbPD-6Fcc=g~V`kJVU|Yc#@zf(0DuvCpXXp)!tW zMV5fXhAA_m5=R@WlM~j_IOEByme6vh@hxqWcjGy`$dFxvW~~WXZpEx881))MHqB8o z4gRjpE_d|V`N>#C-I-zg=v&?X8-|TBTsnJp1AYG@Ewcz}a@Q;`{01**ErW(LM%y+y z>TGg<+a~urn>^UI$%D=&54Uadu(8S8-+avcC0G<>y@i^4VoyQyNX_k}TU1`Tl<_z- zg6guBuyl$vQNe=N2AkUDTH3Ork^*o-<-X>sg;=8`&Pm)6=Dy}OxPTanRDF?6vj`a# ziZE(3x=_pJ4#G(W?kB3xrVvFRAd|bV!Gri*8Cq9>y;`AAE+SF<+l9@mP#db{*Pk1k zCV`r(Xa>qGYH`7)F-S8`vkZAl)U+`Dj2F5%-oMi9%cg%C+SuAZeHWM}V2WKTZvi+- z)m?F2AYDo-WO-%eEWFsM2L4dMc!NaTBrPZFw1$r+xfJ@X#ZULzHq?YOvUqcCJ3;er z#NQ^0{l)7SCic?s!6D~iOaN9uslRR%%XVO%XNNaN0|>1UB{_+;42$6Qv3teAiE6LB zf~pQ(LcCgU+SjkP>8sJF`nNbmTLS?c?`8;bZ z4Tn+S(26q3^y7rv;VQG}encvop>U34g6b#dqB7KD@USy(8cfeZ`Ty5(G)r=@ z|J3nfo{>I6)#J>u^7M8|PZ@;N;s+wH&W{pGCP@UA-j{FwJK1rTV^fYXMiH z%Z=a;=uD6tK)jvK5V--lsVF@8_S4fn#5Nr0Zoq{b@gqnF{M%1wW%}KB09M!SxQQrt z%A?=Rd8?JJ@x{(MsTqfbvYtng)Wl6t<&Q$gd=>JMlUh-4c+C} z(Kq<(uhm%czgqL4?#gC7SvWnhbBd>$GqwBWldJ#;5Hg`gw&VA5nQ8)K_zdiejNm-lmyhvwjNR9hh8Yob+InQ!ZaLV)e z^t6@7MkhW4feJar;IqYvMW3#kS+{?livhxe-jv{6Ot@Jr#zB)ROfRMTWavXRHc~f3{B*nz?+E=#Ws4CP?iICJZ6cR# z?}r2t{2KT{#iPSWXnV%`kRZW4pn^Hy_q+XHYn8d2VXxKW@{SQlU)?*uM>)!XRUfZH$TeXJo2ETJ$ZKUCsKHsO=Q#+K z@7CC=yGnSq{jP85*6)ULOWW4)Izba#yKBNF4)3*X>Dp*mYGMeU5IC?u2PS*C{VSbL z#P6x91-q?-Bhz_}wYm-Ux7~|}DZh1z$TP0fg|Me6(e=`ca&ykVQF zKOLy<-nF3j8YlWh9Ro2cA|UvxrbJH(yz{lX_5#8y$RrHGJ2kHJ=#1$MBuNmijGw25YbgRiR!O_F^ri>uUQ-H82+Dh2b!}Arn+v5R)=~ zz>`)R8or3A53zR;orYBdsFMdhQQ>#vhk@Lurgc@8{?X_des~KFD3c_I6fR9Zg?Ccurg#1fz+z3B`mE!&9FQ57XvCp2}fBg79Q0Ur>+TQ)q z(f#4+$*CbLs#dN25n)v3L(*M&`Lz3fd!zfK;r&y}8vXfC?#Keytpgrrh;#fmdrmuF znhTX~BTUo8i*yoe8t|z-3xm*>tYuH*b9Qhd6EjD4)AaSeACp`+X=s>b&KWv;&L7vI z>tv$~G0+h^V)xD<`RO)crX$1L?qf~McCpNo%?Ru~9JjadLihv{ufx-QLZ$yJY;}Xb z8>F&+au%H_<4tnzhNI|6eziMQ_SedXBV#(la=5k-;JycQt9Ab;^CBOw%QP6yp@DK8 zX}H>FOMPwGQt_Xo8sX{#LAUxdeZHNZkMzM2AG9Ue4~DvHot(BGWI&eHq5^&LI5+V! z`4Mz-FYb7ouKrStL&q$!B{RUyG!(|bCH(bwL3fdk9DF~!2GUR&SrlTJ zS(${qzhU%fz{!9SE4cY-)bp17=N%O0ALzxbGI}#=3n`-hVs@uDBPh|&o9NJ+-iott zZt+fr9q+`v?aB;(B{pC&toj9L)?<%s{k)NA{X;*}h^jfhk4L)w<`d!|X6S-RMp6lg zdXg{CUqt)Eqods+F+uL``{v;cII?~geKC*0qX(xI|5Uy!ARBt=3V;4mP5&F$Yp+Re z=)|OU_zMh8rFj7~Z#VHgzR?Vbm1eI6f;V|BAjLT=g&9l(YN1XuqHVd1`iNOq|34X6 zq8Tevr9K7q$AESt^}WQGARfa-tj4H?NGp|`^(osq00uqv*JQnfe*zX&v!VTj^ZFNs}|>FF?Q)HFT)_Gc?xfoV>b#g9+JW;%`R(*n9VG zFj7MCAFABDQ1d9#jX*`;FE4u>l`Ga2O8Ax7cfZw?~i=OE6x%k6{{f{ zf)h3>WI$B-{b=u`hkp!5>Rt?0ik?!w{q?nKdlZqQPCNwniqR^CEG&@3G*FICl6sG`rUEqkt!5$lr%3!H zo1+`F!A4<4Dk|4~68?k!xnF5&2SXtc@Busmfw%GGH^8H=mcUH;f@Pt0;K`*LV<*{Y zvk5x(LC4eF*F%BOa=Z0#=!* z4Pe&yyd3DmTFUdTrsxTpJz_07p%PIr0QMOv-3=ws+Xo5>i$oYdpEFo>XJwJ7HQ5X{ z{bjyOl+UJMw1*2J2w94ZhO1;Ur(}XL0*q!>FCe6%>3HpR4F+w$gdHl6fe>;sFD?@u zu}3UstNw!fs=18QPb)Z_t(LmjX1kIlSaF9@x=?=X%1Am3N_8KIYI9z40Feu%Jzn9L zi_Vf_R>sRYrsz!E#w|;AUM(fd(VV|;iS0$qruD1L0NJEGu}XcCd2$s`WA%?(N#^bU zwxOnr=2us*08ah^WBGTQ(Im zA5or8E<2TN+yV$*V1v_LJQ`L;hsvRYjV_Rd266nhf>YV_2`*_~5i~8~LZ^iaqQSqA zJhfGW0Z6}*?(DU=k9p0`Q5Pm*91Mz*D(~yc05wt27!lm+1;wbsEFZ&Cx5ElQE23!% zc|7&_a17*hrdHduqH+qu^@V*3#}{kAP)wj;Sd}mLA;w)+(Q7Fp8Fd0BOpt`G4DU_f zrMrQzkwxicG%uCi07ownAY$Wkj!IsvhAB&SFB15VdXlvCG?5IIDsHwD;}CVzGtBfphTZO0s8Qwx^d1}Tu452SJRS9zE}JYpk;qXyX5FcH-mIx; z(RmFDirayd8J)b9qjasF3J~+kSyGF4j*9Lu=jj1G-2Uizcew8*Kc9!S=zQ~~rjcl$ z-G$mdzk?p)f9j|zyyRd46fZNC0Z$S!@wx>S>}yZJPz=g*NRqjOODGIDA$Zj ztdq7;At2{QkpTUZRVt8--yJB3ug*ccGXpY}{#WOZh0j;HgKyic#CAe1Fi$snl!j1P zs3jpFY(fL_HU628Yr0yMW~_4+t{itz(7b3(tghu# ziwW3Yz3REYuUooMo1g76vA>Cq{ibqO&h95n!}L*)j$`uvm7Br2E5 zio$5hB)##9V$7BZi+5-Ts-2{rGeZn_5hpO2rg7$TkUYaPX-9CTrrP99p<^H%@>9a; z!dalKUg09{M8>^r*U|21Cpy{%&adconqXRo?pr|_MK^)O@$OO7A07+@!$zwzO^LQ6 z7bAPJ>TGp;wajKCr%9`eaiPwZlTjhf3sBx5??pFBDVt(MI;AXI|@ zeY5oV%d5cnqY-ZgQqjS<2KT0)K+H-a|Xm+#eg^oVQ{JrD!FVey5^I?ZPe%vQo1)C7(RmkT`9`Jn zf?U^I`)mZv1|Dw68`MvoyZjjF786Unr~iid^9pSWFp42}3h>&=y7D_~!HXBGYxRoZ z6(Y|nXs{1Lw9=EB6rg$V3h4_Gwlq)TDa(Z?Q!WNf=`B6ekunmfu`hru`GuO~3u470 z_hGCKjP(I0FZ0u=m*20;5NOH0rY(ypw^ZBQEcS2Ba{z}-y(IG4pihSUixNJR5+d{c zDxHwjr8^WzHB*2@59&Ry(k%Us#>F6^0$jSyFk^Y=)NY{~3Q(H!&AKZT#4=tP*wM;sv5L&z=Qbk55?jl)iA`ivxVw~NDs8iTj)ed z-%+-Zq8G}8XT>C1iB3;;hr=OPdinz9S)ided7~s1Wd~K3<2+3^ydc607nm24*cSp@4hjhy zby>jKtJM|aX$7kT-~P9skow4a+(^t*u4fQ4hgyx`%XstZtLQNUT0k)=dXrQwG8%Vw z*Rcn!djL4V^)hYU8nWzBRtKY#aC#m0zG`kjI=P*lF^qAgP)QEy3DsNbUURjJ2n7Dz zV|fGLO})!4NCJerFH)yg_{M3zp+P)dv?qG(w;Ag62Cd#i<04;kG@V9;)uLh1fsVpd zg%G8Y(WCp}9KcuGJs24?mABl9PvIsp@j+i8oeF0tlYi4!D+-=O7{Dd)YYVyE{w=bz z-Ti{2kTR_l0)m-j2@nctgD}WPjv1AG5dKNk(+w#3VY3Llb87XMxI!9OT!1l4OJ@l^ zl@L`y*mU;fz8&$C-k@9N$H$un;tf`I^H8^l*|5ePi^rAIZZARjo%?H-RvNZ{PFac_>P>FFAjw#sO6e9-N=oGSd(C_tgJs z1s#Xn*;2ai-P=FV3Jx(O(qATzF9Z%3#4e z8t9@m4KYgeJPf|F2R(ec{SHn+>~dd!19yRk(>|`=*GCR!u9f`3#0c*owA&PGT*p}> zl5Ti{geHgYqn6T^*ZY8QI&bNEs9w*b-i{$HNvkkF=p+40jVRO#B#xkx`A(5W9af=n zXiGBvg`e%GhjcDi8`r93`0fi*>B*c=bw(=#iSVQV~@{@5{GDDVau+vo=>k|DD1g7icHs1|sJ5@u1?o+kD z!rdcY!e-M$jy$}Z-kGezTfmtT;VJ)K(hWne!7?n?gQqbfu7CumER}gyE#Pz<8vy1& zW*ydwzaWKm*^L|C zW04)3avgvnXnY%J@SfUD7fQk4nyeH@qLNWTd%+E-V@Xg=^7B+u(Ibj=VWB$^3M zfJLF+{^SPiJGibiG_!S!oDkBK8X`QE8QytJ3P&roE{@k~YODc-v@!S>ySGtcJJ$z7 ze12Li_!bK=3+7hVz5Hh?Tf(KoTny z9No%Rlm;K}V%QE^d)7ME@?JYS(7mH$)fAjvfeTboScJWhrPOIPk6ru|aSBi|aSO{1W>xLE>XoC>c5UthzWBu<8>ko~9@{!HNI z*cJ?bx4ulHS@lj$+;X_5{Kv~9AJP}FHau9LyuF{rsjc|dNVo6ZI!n5?%L@RvW;=`n zbo5}jcW;PJVsxg=ggC1Tlb-|qzm#Ss--E5_bn2vrk*iJ}tVLYu@fy~b+y7xRIM=h+ zUq=tCG>#s^G*pAAwqmtb-)!nugVHUU#|QYoBOcXxVuuy}0Ip!2b1mIXwW$ZzZcHIs z;)v8MOCv$Cw%%fOrTV9?j#Dko2o$1-cCHmr)(wuvn`7;2QLS8HfK!d_GtGkGA1@2C zp2n(+xIF<~1>9i9C1a3e0Ma|{@;k(Q2AH;--&9`7Hq-R|Ps#%gKA5^^o2%4$4 zc9~$^U2zS=hM9?f_M=XKbPyTs0Owyc@C6u9qe$zSm-IO{YhH?rOgY2Sd)`oc;fkr3 zU@9;dItMyJP&^-qfs_|^$&;vGK#!Y^9d!$9{5V8bUwDJV=2;QIR1*cA?GW4~1IiFs zX7CmKOSR=ij=t33+LRmTq_-JUrK9g9OUxUfnARRDvI_aW1u>-Dh-p*NCbJN8@{@o4 zUq(yGWBbdV_Mhz{iSBcEOt)M^FVtqYMz`u5caU9@xpl;#8h8Nt5ix<`2Ws_dXGl9a zNNmr8172Bzr7o3DMiS5y; zGUWHUgI)NwpMBK6=Y^CkQ9YoJfp_*gy%X`-?y52?Ko;v7Rz=qZaIgKso)&KBI-bqq z#W-$jt2eNv!}+rR15CI-A2r-FN)=KLY z+0@Mw!4c%U%^XlIcheoED$O`lFRC~3*rqKgM>qe@tN)~9o3`N1x2CIhVE#@x#lvhn z6_l*f6Yp@p$pdkFAm8d=!?pS%z5>?x#1(Ky;s*bX#DR0_v^k(#$Dvbg3TelU6Hu63 zpK&9ro2)TiWKiDyUoaJ#j+H>*6_*>!=|%HdPaL4kFZJ9c-t34TmCX=WyAGd)WhoCg zAp@g6oP1w>IN7)l!{PVThv9JZK8(JvK8!XZX4`4CI-Wf}N9ythG+-8hsoX@1ls5l4D#*lP1Xe4m+&ef$!Y)q+jCC+Z3`URtE>ZxaQkcPDPH&1^r`aGxX zximxCs{eXm%`+G_!CcH-Vl2WVB>f9@*)CoOHJZ^lxhS+#r{BQs?`-A-e<5y$q@);= z>B4)?LKHcUYulCiQ9fbWA`68Nr$!1-^BMN=U{x>T&4l$-EY*U2jj;R&QMsI1TFDg{ zW_o5kWf>cNyow50vQBxj%0h{ES}DZdjf;2D{?VRtC1K)LY|-sU@C3>ozSf@aRDGuz zB8s>l&+GJpfTU)T%G#I5*Gr;>X2I&|CwF2j6IhTRA9)$MAI#TPny)RT*K#B^GvL4w zLX5_sa7s!xlo&CCbB*8l#v}8C6P$hEk!e&AX%$k?btUznJ$x|$0d;7V^!Kxv%m@(t zEXl?Yu}GpbWrbfRtLO{Nun+F0JW}H{+fZDjS)5gQ?NPj*sdr`NMgGwac@aj!=)8UV z3Tx|#Yb5=;8QgMU6O&N^QyTtq#PvuJzyP9R^@0J2*c)`#=wU$Ba)6jVOCSMfoLO$Mv_6#k=;ofA@8&J+mramkc87H&`ZbqvG7S)#9xNF+$74ivC`UJxv z>bNEL-YC~Ge4yN^!-ISKhsfE@7wtrcHcf`VM)GQy4;PJeDF%(#NqS|n$ivYNXOh`m zqAPW397G3ou64&D#6tSW81)#8j{wUSM+~TQPem*~SW-wm)-g$;ltBy7G`Wnkv3b|p z@n-BLc|&H?(B)qU+Q!^j0-T5_mUS%-Ul;TP$8hCWyoiXjhr=l%@F`{MpZmK!1{1X= z&Su#`yHKAe76xoKYkA9hfrF`1Ak9+U`?R>$Vwyw1nVneHIa)v~p%tdt>#+&UQWyd{ zT|IpJzXXZ5HlPz|3SvEP3}EGEo>2UwTU2PfkXCyS?-1c?Z}1KQuMQrMCe9HZz3PZ^ zwSl&7{|>(Ac>>O=TI|rZ_+0t%#`Z6#fP>TVZA=nOS-~Zoxf2bKTiK)U#vA?n#Dt5(0uZc{NK?q_ z^2k#R=*MbKNz^`9Si^fcEAkmaLfwyRox`7Hxn42>@&@;Dui5T?jbcC(KA%GW#N+Ig z$*u?hV-|5#A~u@Zp_=A;BhH{|Q}%Jk19&%-Uvjn)Pe4 zV(KOw??V=99+d9u3#LvP?Eziz(V-Qq2EqnS98P*CLG-=E`-!V?2f1L5hZ4!YK_3To zTiQwhUXVM;di89&!Fz?pkdHd<_yj`2w3XYfW7SYcZCdbfG#6O`5(3dsSBM$Oc;C(^ zv8t6*G<=0&3BF(u0d9gS3&H%~)l8~1t|0VI?nlP7;H>>F3FR*uWb3ENqL{!^qIo#! ztuv3T6K-=zXKhP%s_;eHXvMFz7G5#1rPo5w-c+b)NI|`$ST@9WFr{rQdSA(ugFVW` z=`|>wL<0q&)8O_%&!sE|9QMkG4tky z%pNR+ea$xVu)t-e;<((s0Oddu>~yTz`2^J@N*(sn;hTd$q~Ice6<$vUwHZQsjTRR`f@tT!Jyb#_saI z%wnCvL`%7Rh+E?5ed_)Kq`KYZe$DhS&1HXF>*qhrHP!9yOE!+tXm=mlZXpg4OyJvd zh(NIJNb*n}+F;y~BWFh0`*fAGd4L_X{La{JRhKB3&zxELU*oKtAX6qfx}l`l9MpRfC@t+z%4jFLTC4v_@Aj#Ez8eRttuu>N;KA1 z10r;X;okPQ818L%kI@|-W3=&eSmg`fn3UJR8!J1;e6mK}%W2XShvuu|=~ay7$V;f| zB=={5_I-a+#e}v$+ z2Onze@@& zV@kDhec-PjeIePbQ&y;zV zp(WN77xAqK%v)NfcmE+>3v;AaDdi5B*9sdKkIqy64We~LkP+O6*1K|9sM%HtQho7; zrK0*lv=}#*11yqRJibAW)Ww+NjRoLme72iK0d@G}0)~{%Ak5hc`(kL}{I}vpR-S(G zF#3kZ_SbgyWwSUsKGxBc)l?VFmq3&97-w_zQWieLF9MoLK!}Dkd9O4;c~qa z2wUn!6CJebmwN1L_zM4Si;6^QOa;$)14ObOGS()OQM<*OCJrh8rcHWr8sbd>4zfE1 zYyyN;;&H*Eb~{daE4-T>B!EYb1jd-#aZOjyo$CS$%KC(eOp!+IMm?Ygjid6i5QO)G zIP^Pn*r%Bf;X-j_jFcph9dJtk8?^BH$~7L4rEa2k6_`aN3vFao;uVzHrEx?TIQ=bG zDfyOX>YkMM!b5&f^>V=i({}vFi52013AM5nU1F42hyoUn0z?b(9%RN7P;QrR%M1{e ztGs@`UM{o5V3E1FEJb6NCKJ*dq8Pg#&0eM7q%H22Z=LH0c4|`tFhdyQuQooz5-gfG@fvn_j126hp8s6bC2@8X?4-Dh69o~@~ z-r<2Wyj?YrTk7j}=P_N)IwOgGmq3fejtbh38im+_z>XrX(Cy#;_>ax^>bc(D(yuSI+&1{(?T#18+OCb=Ypplr!`({xkw_V!Xvjr-!yzXFrJn*`p)xwM8v`)h>KSzR z_#PgX%*;QB3{8eK+KN+Mg55f=E|Tdwo(b4m%8u`U24>2x8=Q@ajmJpfHnCEE1{{(m zI6FKv48lkjOjNv>=!3|Ci{`d?}HxLH$uOe@1+KhezEUxb`iao9*ey@ivz+kG?}l< z$vn-tWZWaNH%wCM&>5b8X3l>G=SO`IRhK(j2Nvb_|M;kFZ!+URCv+skC-G9&qWWXO zKoLy}VVrl0RJO)5!5Z1T>5xiPuvz!AX)<1~Y9K=+QK};}TBVjy7EKSeAt}mmFS=6p z0-I*q%)!jEThwb4MEpkZq`0bzNou59Lj--hKJG5O)KAx>^Wk({KUJi#IE6?6$-oiJJG@J5yGbUzg@ z!o2kSPt?9VdY{~WeGF$p^u;kXd#{SgC6pl=PUROK)2?_@*k_H9nN_n|rU1ezamHYU zfDRIxPaDqO@%Q?)tflZR>&8qiHv51N7&H?5ZYmzusz-7LL<8}(h|D;&APlG?%eJc* zmp8jl@x}l1n-%ptm8L!i3=r#i*~=2iGw~N!>OGk2q_eLB%q~kxX3DfEBr9!=XYG7S zO}ZDTmA~PNWsxObXW)>?BAUFbdtrPvqsNn+nTBG}`UOJio%lo@dUxBF^+|MNb%Er~ zT4S5F@+de#xip{{Dr;MxICZU6h;~)f37hSxMB23B-YD1bL=tie@(_qZP&jJEMQ>yD zcx39(+C~*%RxwYiW;5<6$YU^>=jvOS-B6#AWunCraF_RBz4-aVa|S|!Ks^wZaB&>} zzQ4D}Uu1k8DSu;nolZgQdofN|(fvpmP4lEEIc1|$P-;bu0l1r2;Jue(eKn8OmV|@6 zB*0`eA?ma7veN9Z@6=Zd52e1`8TQAfNBQQ}ddWoK&Y2c<$~~xw82G+6)fLYYCxv*p zr~Y3{4$-LqTSBVNP|O)rvL?rZAECDxEQX+Pk>`Z2ohB%XR|}*B)1ZJ{g=4c!Ln^T7+5%wyHV%pY-~7|SQycOWinEWY!I z-2wzr4ZiU3P)~JbftkR2Daalh#r0yf5fVE>-Lh?{RfP?~0-K=ZO+8#%Oqu#hTksRr z(WI8|CAm)AXm$Zjo?~McTlJUs~-fdds!5h z*$ou9rphds#TuC6*bL@{5W57Jn4ktm3zm8*Oaq}eSHp*hj10E#I`-tM;fO|c(AT-} z_77V9%_>PNK)>A+V1m-Luqlsog~Dx}ctme~-PR2YaWQadnv@ z_ESBNvS%R@M4U?MrL6!9VJnFEG6$Q}WbLG6#!CH2Sm)u%-CDFLvU+a;L9U{%a=?10^O_<-q=T3hF8=3OSbJn@y9 zwcrj^VB^*LXD;ft#P|HB!PEpjiNNfU!TQq)z?cTi_s%}7aNtuU|aBcLiH_T{WxcX zR&?Ds0YRdp;)3xq>y=t(GNg*{E$J9LyHNHs=R+mb^Y1DP1QucbUB@xzMUe%|1E=eW z4!%L*hMH_beAD0aKo3G0ei#|HF=aDTI&2s)jwVS4jCyl*^g>M^m?oFicwNFrc$JoF z1xjOdwHc3_w^GQ(a@R6S>%)WS3k(jwEYo)l0!a0|Us_Jq>8fLY!ZL&Ucj4?+ElkU` z{hc;cSj(H@gieTXp*H%#Cb;9kCR6)>8g`wo?(5c}tZ-GXq4F>&NsdBolF>(8FmNeU zHn}Zn9$~e%76CGX5NK;9#KFqdj%s+a8>dNpQSU%4hh4`WUD8u??cZWqC0Wd86MVV= z#lRpyIn<$C(zPT-9wLPTADYUQ$jcKtu3ffXa3?oL-G=sDJ3||s$7-leGuki_SY;!Z zjuC%zZp=gS#ZdkKkrwqKyV0sKp|>ipqJC`Vab7ch$>q%W#e7Ijy)v~+7rn2|h@hbI zLv4VI3fsl|yan8Au(XjOV7dE* z(v7|H0FJ&w_eXVYcm$b2Jo7wRq;%RAab=UUF#%?8mo=07spkvefINtL^B#*YEHn*f zFJ^)^!1$P8wOs<9*=WDNHe)M}^dAMNwW-&SV&!ZPOo11gd?o|TuRah=etri)&h5X0 z6C#WA*;>6AGOX#}{zqCZi_65s{ocf76<<Dc$&_ubKNwO3gM6PQ~q9!QyzX+W#0CmbS{FWv^=g1s7v3iV4-o3KTGP{Ja{ z`#5opV%;%*mXw_lCl7HMJg~)`M^164W=-E^)Q`URQ9q(lKWZ8E*{-8LyU(Z(anz`o zv31bLH0a~zK~oB8he3}=_ZjpU2Tk_hwn3lLpif%{J>GTDhz(z?n8uD7uCpoPwZ?AwJiJGzhXm6TGM~ zTJXA<-^5Y>b&_01P_diE(R_pdDev& zgdIy-!~)clOjoIDT^wVc{0`m5QB@|%RSa3QxQb^4paF@Ku|8tB zW7Ll;AVahzlzD>nM~(mm4`)j{Py!@+52Ildch=`>qT)Pyv00IT@Us`TNP#$p`e=g= z>d9Y0WhQ$|iMd2jqhSMPl5~hD>VsD7p72;X%VGey7_!d6>_|;3m&EEk$Lepx*24_u zF>*_AoQ{Z}HQ$7e=G%(CI8$bS1tntB7(h74I0Z1En7rmq4gt~?dZAW!q1sHTI1y-S zS6BnE)c$!%sh~?@>dyIn=H#GyUg~wOtJACRn<`*YLmb93H3e-mH5M#U8OF0^iqokB zChB1pOm1O@RHJKEHXy_SX_%C?y#$=3=qd!IS^2b0lBuZSQ}55XFz_kUH^H%TP@^+4 zAro{h^vEl6%qV^tXPF6ZKXtgk%=!3$^rD&F>dT;ru_GmzM(P~`CD@}ADpL3tYqZ^Y zT^-6V_?L(&ih{Mr#7oGen+#g(7?aylp{3(QB9%f&G*H{M=xLQzkCUD#?5@%jd%pQhBZ^^I;Sf0u_%uL#DSnN)HYnZrH zuC?`9Q}s^2O=!kUk-3XH53GY$0nz~F8<8k2xcJ6fYNK-e%lI}R*@e9yV8!&P_sqgX zprbkq2&4C4?VBe+c_Y(t^m?q)sJ}|zBpKnG)U}I<;$?6U?4}B;;dO2Z#Tss#0%Kk~ zebqW+CRWp>(~tV|J@f)$xD@06(ARWnc*2ToV|IILEV4)I+!{bZ2NXjw<%ubLg;e-} z_=D+VQgkp>sCz^EaP(+=e0T!!9QDsP@NeGUZdYVFrwQ(YI?Vx5+UTL00KEUe9gB0N)7vGI(e$ZB#ZVns!!W(ZVIs+?!byJk;S)3U9N1=Z; zri1s902BAoP;hPz|9bDEnO7cjX}YXj)|CH|kl)%)TQ4=mrF3hhhDsRoEX}VhqZ9|> z5LjyfcmGjXM$@U-zEDne^fhV+uHtzDEL`iNxYB9=t3i#pgYB$UTw;&St(!R)JUO#?;vQ;fQlYub%U;%|Kqp z`E9&MlP!ejn|5Uh5^WQ%J2v%*ZBPP_-I$b#0#E@pR6Bm8TwvB`OEySb%FChy8?a3W zaRV91o`Li#w2ki^vg?_BfEMj$YT5%)=jLtyowt4lbi1`(Fu2lT8OQoyJ|3!C{HeoU zhG(;oR6|H_Ih_{JcApC8?*5A(NFw9Uc?GO7y9tSf8qqO7&u5=}At@2ed+rd8m`7^N zpAg9IqK=*y6bJ{>DwTR*{_6)LB6w&SU&B+!un#&Tjk2qC{v9aw-`0UNlsYxb<@b&I zyw4q+T2ao{s`p=FUDqTnIW%Q*QJUEedzz=$U_-1UJh59AB%dc)p|0GhC$WOiVh-f4 zItgQYBxgETFX5DOb`bYfhBHuYSCng-#uf3`;`wTUNv7~g&Y*%B4jCAFP8D3439yT9 z>;##XQeqePI>NvsHOyy-9vwcOIGd#EosP1N^7C_jYpZz0^X5FQcvh^${=R||?u}Xs zBMUoLpQvh3zZbOq8PB3j<~gkuNhx?5R%(KyH)*}|@VwfY!aFgNZu%;yssLyw>VpCM zQIe<5GvEla7sTXIRYKA(#&qg+I#(OYG6iF2ZAM9t7$z0s2rQ!ROxveryaawdq+pB% zlui!_Y#jUKdIP75z3mP)&IxA`7d_eU=O$N#7E0_-d#dr$wlgv1eN4Ln1si-YxL*F3 zxL#t(cVjdP1OK+DDRz8PSMD{eeBfH<)E7=KU=A=H}GLkL{T zPRcC3WJoVQ!vd8|^dVNz(qT7<^E11aQ55hY(Yq$Oz*d3=jdHk?V%6Rn0)9MlTV*MytsJyt@^(~2b`u8(G(mtWIRi* zPIa%<3><_Ay;->1e->6nMK#>&Cb9`+YtYk1aVD2IG}+%{?% z7^GANAo7|;kI!RZXNPa+y4sJPtK(S1vH0Hf8z2{UQ<%!__Jq-mnhKFK>TEi@P+JV@ zH337x+f}c_pMRiN>3~LqB4YIhL#$AJzp#eg7UdOy{40zh_QzvgxI1WYtcAib$=KEkb831R-Ux<~ zS~h_wio6-{b|BHbS@!CwYbtA&C6P2yHYul`1yn>*&`sx~^-_pslJ6&!+n!YVcYn}{ z{DbgeEM8nol+>eD76TR9wy3qD)UY%40Mx5^OCPz3nBBk=hR2Z?YI@-PVDJ)w)M_;N z`Ukg{PHhGvLIMW{BgG5NMV2xe`Uq%yc||}p6uul@Iwl?$B01bL?i+uT^S)Y6@Z%Q! zz%Cj-HiP_4Y)k|}Ve$~y>b(Ed?@98!Wv1F+%mfK+x0zd#um~OAsEd&}~7w^{Wy0BS}Kl#HJ^9A=#H}tj> zT}8+|F)zLUx*rOXq4!8JhB27{VO#Gz0)787`tH**efu^8^aP4L|5Dim-)ZVGeW?GX z&UYFcRxqO9NCsKR+aeEoCXa$?OJTlrzKDd2>D{IsjDCDNi~|=Y)!I{!)25nhGP{a` z4FTFBdJQpM^)?)gw1I`AE0YNXeRcZ?<$jRw#uD5#6J21 ztLh`;OWlD53HltCVtZ9E%pI3g)l^kv5%7mxp|Eq7fLQixwJaR@rfY!l)U#sOP1({^ zUTi;~C8QHzWN|b;Jvte;VcY^rb<*T;V<=yfgxwcjhW`K%5=0upK@CuIZ9|@E$eAtC zFXL(Q-iWxV`>o9#Uqy9}y6Y576NFBAz+7q-2CObLpd2P>bJoA{=)Nt(m90%%;%>L9 z5>d2Udl1BOu-zszp`GT$rv9fNY^^D7WhmkPfdA03XO)iUBZ zTrg;s=7usb(*A&#QPoxN<1@6b4|WNcS10cS(v19$dkZwY7qVH? zApA0?Q>`w8?4N6?k~jMnl41Ujn_lE+3g=}y3lZ4*;8rNffs20^OLGv7iMQ&13(SDz6Yg%gCnVo--d;_|3x}Q8 z*d10)qQrmeo9`%#SB-gK_{}`6nNM`%e0zVK1W1q#ERqi;p2np5i%*BRU|o+Hl6a6+ z{Z_aFqtU54G*>Hp`v(%xK&oP~IJqc81#zB2+Iu#+0YMr&8lA5P;yzH^n zPuDAsef?!m098P$ztP1O@kLXLsCrRNf$*Rh-F=7mYa8Fa2l(q7;r)mB{f_bO^#^qY zkD3>&w(_gQ2?lDUDp(_iIxtzT7HK8I5hXx5%QhOq_g~cHL8^c>nXK=%sp0o&O%0`Q z38bfbM+dowCiP6a#%V+mM4h6!vae^PpBa+~DgZmp$?b_jyjZO$>e1X_GbYkYLF>7m z)&Mmz)ZFvZXI(TA1Pv*D)E?J<^a-mWf+vD{%O!gkEW8_5bbtntD~DFjS#p^&M1*`E z@I*Bevf#cB&4F4}fgYJ+{|#Fa&WIp(gfb(H`!+;Rn@AoDWbD2awf6PkaeR51W@6q} zYO>KjcwJb`S#2U4U--Mv&;h+JGUZ-I9}%+z0#&HUo6Q@I{gL2Yx z!0&i)6j3l-J^cfsdSs%zt;Jrhn|RWp zIalVmk!l3a*rIG?m3wQMV;l)Q9anyICZWoma(+*qAo^W2|(`}`>k0-%Xc zpFNIVfdm3fv&J*UO&pu}18zi6y;1@rh1;Lx?X!mmj~3S0zc}%p!DI`R1az(^|^loWT1ok*EK#inqAyG1T4O=B! z!z;9nb(L)hp)Dl{&8&~dMN*=7T`Zg*2>(>>ll60SKr(o z=-|oW4O#-hp4d+B!ydd$m+2cK(8u@hI$`?Kt@psFim{y#U1B|DskWw~09|5?RROh! zclR?>YaICqS3HQc6z~d61$D;fuU>r;Juiz0Ant8csqC&xxh$;@UE3eAgS-xmVC)&e zkbvKY8Vy23h(wltH#vdr_`PCVyPBSM*Osx}S)shkqz)V5I3*3*AV)+}gD<2VtUk9Z zq>VCDRllKa9rInizpn588d{H25ls^A5IkRHXmAMpNeUI$PmoPf8K;ZraauyTTD2=S z!%cYjMb6l3TG7kBt+EjO?s(0y!ZJyQS+WL$;q%9@9>d;-W%^TeBWfAzURusNU^SIp zfEc<@0OPEiKY#q?*59j-p+)QIih=1QwVfnXfX|i~|fCzstsNuJjInGV0Hlk^` zlQvIaUQiYPGr^0bY7eeyv{Q>TeVs0``_c6AYaHGjkNav7#c+E!3g?Uwt|FmaN(}&xO6kscD0!B1(wBDCq6TR2xgMNcwNq4^?B-X>Y}*=9ltfDQy!zCw}(X^(js z+U1FbobVWwgvS)iU#E$3>*FhZWdj`Yba)c=PlpJ5bSOmBoBFVDaI$fB1uR19i}>e0 zXiE{d62yrYQ!G$H43-4})S)jf`a_DIcxVX6Ab~j95XoM&5N#PKh?0Cgt<{xIX%&7Q zD?}EVltd5T&i*&i3YdTJlh;Q+jK1Zgy5yBgT!9eCBloSe&S8$C(pJ*NNy}lb`ybYu zJ1kjaCkX2UKKb45Eb2oFP2b916ugzah@JKf;ujF~fbG0z#=;!Id12qg;84I&!lgld z8UIGR%)A9Cx*qy>$~XUI^xaz8Pn36%!8vsXd}qHjb;PI9>rD>2oF}~omHD8~&>SFF z_FP9J%C1T{owOX43CmgoNrr%nes~}wZ3hu74{$;tjz`-rlihAK$iHz}IyqA>(JB7V z0sPMhSp3ec{AkGr5TT}wSu1ML0b7WJ*S@Nt6+%vKz4vkS}7?`&{XP%jK^;c21-y0-G+yx<)1G>3e)nF*McdpMxfnL``UI+= zxvEZ=(<%F#tPH&v$3}^BYYEb`Cy(2*CAPw*1hjeK8)%=3`Xrse_)aY)4-v#`3XIh9 z{32dq;-E5xN!rTPhx#_SRjln}16YK5qOvl{RNCtUT}zU-6e8IoqpkHww57UB^me|9 ztu;ySr4nhE!RdxutCF^jE?AA^4~|aSWo+DRx0)lFQLJ@sOO0?D+)`I?&x#}08@!>4 zBcD_B0Prx!C}w^4pFOxYR%@ZUn84O80b5_K<3;qd`0d;97hMDA7WGos*UCRgZku4m zL6z}#$d}$=N*Da)yiawO{YFGrkq^lywh0%z4_8g_E(9|;xGVwcn&_hUuE4F=YKHAD zKq>q-uvYL9?W{9@3M?RxM!mrns8kC)Dpvg^n^LR)?v9MIFPQhp?*1DR?gQQDM4A|F zZYlCY%A(-vib5~a%$aV=%oMG_3Ff7d@5_xFKErRXfyCU$BD+^I4}Q06SC_T)Nj*X3 zUlZ4^2_>Pts}flHZwfCdr;l#Cu%3)Fhg&Y4s15%L&-7xG=D2!0aRl(b+RIq`#T&%861V0h-$3TxXzEeWU_QZ0>xI(*`bk|yk+oAUHyK`5wF@SqTH=rH z{tS7qD3aY2-7!kotk&H%^thWg_;#Aa4OKlfn11}T&Py{=d4d>Ev$M;nfKvuJI>R*( zWbg(-jqs`3dy{z*&Zgi`jdI-El3$s-($ywvo7Oo#7OvLn*e5-3hhEwfN~a&|aux-V zN=eX*n)*vf*qWlY^#Y=|pD)eIM{P@q=dJzbe$}T%RZE!&>RUj zaIZb!Jfx&6%yaO;&=UaAZEVdlGn&p%Ln7b!*=qQ|vUb$NiBX*DM|W?umOSQ|QB6eS z70K&Y3tx)jis0~2s2gmkUcigGgv-&2*N)T>IXUSp5wmezCxDl$v!n|J!1g1gla?V? zl1tq)>YbFk9OKp7E2DE6d4_>9-eSEd@CGjMUt*NmB%OeN{yL z>1I7}!I-ap{-s*&Fu0{0lg-*^DMxKGaPJ+=@g=Fm7n+dO|HL_B1+^s_h-{NS>QXPp z>#3DReH1d|Pod6S=VwVniBSU8BB1sm0@!j$@awI^OiFQeTL9BYydtdl-LHPg2?I2l z&zbIFss#`&;UyTf%T-p~Cd&U;Q?#;Eth2!BTX(0TyGP#b9qo^gbbm|Ya#Jtl{W`SQ``sLj_fOAEH%W|Z&tqlJLBmy? z#gC}@^>^g>O~4atM~PtR5Vo#AURBV_p> zCp)X|XVQ+ZQ-*rR_IwY=7#_w#Sequ4am9WYctGlXH5qXFvqn_mX6&dD(RHmjo)N=v zi|T_g>^g$7skAwUW}j5M=N(=1ZgFS7wzv&H-&%HRLeOehLz)wFel6j^!4;T+{C3%7 z2fn;XRV(LAee(p=Aqw^D*PnesG9&+h(67n>%8I%5^YBkmR*DEu{knlEAy+0ZnYfyw z#*v_eGb>jBBdX4hjt|DYfV&tjz@gr^Jh-Ot8C(n%g=G?pf?oc}+oNd?ns=$*=az7q z_HFfvZRk+;tY*$|9im<#y{u2}7WivjnC^b?LA$hSQ+~NI#Hcz*!=IgvkA=u@T4$#n zcV!zka12J8ihxN=jh^JelnB5bB;|C0MMuRsAukugW6>_?fT?05hK?Yf{>i^YO?{{v zlBgULazJu{S-oaN$Ca?6TLzYhHEw%;*#QeW#fuF(IStHh9aZt(h5MVC_}a+7{|8+E z+_{siye+f%bprY5SLr+{CE1?z^y8XF-`44Ed?mx!3GYQET`c{|JqB=`Kh&PC>Qp0s zqE8UH4vJiE9cSkn+4@W4WD2;BRlNu8?@cRpE}hz>(WV~r(^g=hsem)>1i>+W`QGb| zT9L;nByl*Z72aMrM2+yGKPlt4X(nlK&6~+gxSiw%_^ozxyH@m*7KfoPn`Vc7BvjHS zIHV{ba7Kd#W@%Y#Ly0m;;E|v;WOyj071Kb`>Qt>Ym@R5r=9@HM0Nd^W3Y(Svq1+4n zvzd)@&B%7~Q#%8t;Oqm#TIaMc%T%p78R|Qt2BR`RS7ulJ<;al>Q&~{h4Zm|!W}%R9Dq8I3(R>wpR`B_PbT$*9JIY)B zBsDal2~(S{z54@<-R7*Z&99vAW}wev8BCPfsmz_sLG_>}GLMN1 z`yDb%$&3O*^Yscs<22i9a@{OycH(7HX~E=AuH#aTY;D)X565ILLA-sa>}Gs{kQ*gm z585)P671lQ7@ofw+E!F<7U%O#OquuRWx9lz7_u5*Bp?3LXH=pb1@2bUxC9Dr4Kl!k zgQom!l6;;i)7~um*b07?Ni{9gl~+OK_J(_coL@V8E|gWIPShE6!iUj;GX8*aI!|s* z+cGW^M+d_N2C(&kjyvHh@E9%C2oogsd$vymf_Pai+BPk+A{T|L);gtz zY!vvTGm1f?Z0rG)Xg54C~z{EajCKkiszhPwF+o zES#8U<&&(SG_#66d;01ZkghATjR6L)R`t$T%0OEwe*>5sbkeh-V|qMDMwvQK7aU?R zNSwC#c{2cNdIeG2hg{2!=6+L}0j^IZEJ!QmD}QHUhURJ@ppC6TRdF)hC)0^7quPsfE~> zCS+T)jbb!@gO=c=dy7GKkEd+%2N*t@O#Y~5^D`m#afF;5$KB*+Y>Wx_QW%W#uYLvL zI~m9i#ex~2p&vIxRcwRzkh2k@HG$}k=60nQYrCq=KTEDv3bQ|5i)|Rdq4tJI+Mp~Z z@DK=JtFPGxF{Cd*=4LbAX2f{tjR^f(to18jH&GfVcy zx#pk{`@B0kI=u?qY9>q&Wl8V}`US5145R{O0fefY!t&vgbH@t}L7?dI^m1 z!%q`+nVOzY_RsgbM(2G5w@6SB!JP5UM8;vEoP^4L?}GY9KMuxZ@1di5l_V<|$}*iH zpSv+zkwep=)l}bqzB8jH#P{n7wmJu@d6CyiY??2pLrE|F67Ox$}=IF zwO^8FY{Ubn22a-i4Z7fMyTKuMrxmd?DBQPqufcN@aBBxqiEqwL!TC4e8Kr9E--&)N zRE+GDqQc?d)A2~<(Rpa-SC=ns3P&n?+OUrGZNg(*4kX6UIgPM@SH+JCXlg3NOj9g zTu-LT%%|tgDPK`JE1R-Z{z2SAsvJ@^@H?8J<2R{G>sS{K0BdUT#0Z`m6951c;I21b zYZR%gN`6?{%Up1jMwt9Rv3J#gZM?vk_1dUN8eHzxqJw2Ms(yHK`0LoEIr^g}7U?!D{SzO(wGz@cF`bI!K;%>d6j3d00`8)P`_g~kntQzS+9KDEN zuQux;fkV{Sqn0&Tktq3U6Zu5;rp=Sy=g(d$#|PYZHMnQWSWYDv+&5+y=^dMh zdIc}J`P7pOkxPX1*bZ@LTA`)F-)*6JD| zph6qChrtT>hAKpT$B^9Cow3g@1YhF!0bTGx3cep}c9#|wm_a=c+^X_MUdmP*wWH!& z7#QH!Q#nD0`@tzPoA|Czz};WuQipj^uIn5)JRk!zTf!T%F3E7E(*qkc44!Iq`#`mQ zOnZW1%3V3QShXW(Gd1=|{XL6DLq1y>NhKIOl!-MB%FGsa-=%;NheS(TABdpGhdYeu zWT;Q~hC~gTlH+?1&E_cjV@!dc?l8LX(NLf749_)O$M|Hp%E z$`IZYpCPK=Iuw)$vXv;&Wilxt0n~xk)yWi*tQ&-0FBL9~woyjgWH((-e8qCFJDxYVNW(GZomYF`9p|?t1^*3`b9l zbiS{z*1!0mg$Y^HzJ)MqI_99?3-}C5 zFL26?Or;K*R~n{^Jv4JTZ>LFaBwTij{XLgpZF?hVmQT(EKq-gW@$;8oh7e6*`8Q?5 zSFwg17TN7`l}@Xg%FdVcL-Z-88_5ilRLXW+L$hp0Vx9viQ**X;jq-ct0W0stD(yK< z_hpuLo4F6WG~}-H=zuR8H0H6GBYF$!ZxHD9r&{a~WCk)SpyHn@oyG^>Ye`Kb(>?a4 zzN$UkOH3?Yrjp8lLI-LF#M8z49$LI~U29CwG{2py-N&Us!%!+$zr}kUA|1EenmIVF@B%{h7KO zz-g&}0$V1VBsc3`|OvC=(~$wE~D>W{?e`#nkz(cvL-Zr}aMn#WY*U7IIGR?KmGA)PB!lKeEzZ`E73MYcx+rGd;t*`{j3 zjRgvPTm&-tGy(5xwLmFnI*cfJL`-TO#$N6i^Es9pvT~1zb)M~?<>2C||Nj1FG@6W_ zX$*m~p+g<&=@`_~>;10KF>w7j^oz)*^~gUDnUHDCaAp(JmtDF| zc}YrL_W`G~6k=jq{Kxi*t+7nFp4p4na2tan#rcXtwlgKbI zizo&MDojSl(<{&)>6H`u3BtQr>#lxyPuWLFY6$Pj#3@Ut2}Ws|D1b+q7ftoR3ZF2@ zyvT=eJ*>aV?n;x&hVyZtU)Hlq7s(rdCXuDY6TiZjfTx~=!TK24bfWU7W(Fv0EQSw_ z@gHacJceWP8lN#5PxZc3Tr3WFt$+tZ1-#GgSoo-*Qv&A!**PIhQ)^bu^7#Ybu9lTz z?$&P-K}KM!H!Dqa`$nhHLtVIPs*ZP!|v&0y+k%tV&^luoEO zyd@C7NFe8K`BF=Ao9J-8HE%KYG7S6CMM^MSpk@L8rsj3=KB&B*CWs=x3`;`}SSGiP zv6;)PC`yA1Gf&Tb5GHoxq@$cA*jx#Vu#NS|x`qE1Ki0K!=dRk&l17;p&ys7-!$&=)9eWY&V89bf zE0VN~qc75Vygkm8#83yKZ0yF})1DGca^pxu021QJ!_gy=Rc)m-kn9MsTM0r|Xc#I? zsAhc|-i&HNTYVl~FY5IH8)Aj7J_fBA>bQ04Ky{Hk>r)S253M39B$tajX85RXN|LVd zV}sU)qOIC07c$@vER{y4o;JD;e?O2WtT_*@*~0C3z@xiIe`!9A%PE5wpyGxE`)q-B2L4U$9C%dY z5fKbo1E{G*8khNcllRlAGdDVJv0JOQ0C2gAan=GFd3?^MVsILrtlvhCtZu>Qo`2AZ zYx2_)N~<<2S+dsl^zvj4EE;WW1*RqRed+w*B58|74Ds7!N*4b4lk-7aWD`~=$P&T- zz`q;UY4~wCxgFvKajte1HFafu2-=H)$}>RnU~IH#QwfHXopaT1O?nJ~7tYZILAI=b z)Rv%@w2YEaWB_W29F_J|pehP3`lr0-F+klo%;%zTjTEWkB2Ib#lb~CV)xL4-NgPyE zRN|iSKKo~7u#oVK*}^CQvo^}EPBEhcIUPHY(=kX`gz)X3gt6^S_vMm=&eC{VLb;6f zs4MW@E*}B3VG-x5h2CJhxQzZnbl-Ee_~fRTg1mXXP&qI~Wkf^N_Yy4dnlhY&b4O}l ztDsa_GSNnLB}15Z6nz+xrqUSxbpmoqh?v_&pC%vxyq0lS)c@U-6{Z{P=o$dkfakVaTz*WE0%M;S)_CNmk<*R|0 zAN=gIk1j5v{=pHInoqMr2NHG2)P~*b?$TW3%ln@IR8f6jx=eo{OXCBJaTagZv3mZn zCMQRR6gHo)(b;^7%>!gVMjKC3lY60a&0u^}n8-VBCqn9N|9BK#X+Sd-2l(_C8fr;s z5O4d&4hYA9we1jd7m47CHbYyH63y|xE>H4Bku8~wD!sZYl$|MlfIeuyy2TJG(uisz za2iPE5Fvjo5?HYE=`fIeB71@cc~2*wnEDIy(G`lb5Y2XyuUO8gpWQNAMT&% z3c%~RabSxV2B@eLh!MC7u!29qaA}{po5mff}XUkiR`un^pQcCrZt&n?Xx~0XjrE ziK;f$8rbpzz1-;GwB$OXi}+S&v?VH#Eqz%U4WhY|v>iYxVwzBXyabf$LIo7_QCArQqGZm){2fMgcppXQpV@03sAx;XG}%z)NELKs$` zg0rv~f`v&)tQ=87q!vQtu>kH@#=R&@P_L`5N;o!4R;)a!g;yF;A3Tqm&i!7-cQ8Wb zC^fXRZIv4h!;|Mz;f98B>iUiEVc6pnHSBV_Py;_f?y$SRO(9M&({3Ar0>}*d)rt~5 zFVWCGkIO`5YXlwF`$A3E4|9yuHXg&_S!- zCqN&AUJykHyogzXw8FJeKi)u0cJXJE52^!U=K#)5u8+Qs>n^3 znG9PkV`jq5c=1>JFZZK!YQY^e5z-+u#rQxrqh=vpaw6|z{`X9tfGO$dXLvnd9?HyB zzfvp0z#6Tw$jzBYuFVM$bHpv}CWaZA6tlEZhL5vt%M@26>P9mT%_6_^FU&!=@8pf{ z``%sN9Xmhml5$8z@DIvvs_CsY#l@Lt%-jUINZIWdzlDH?%V+9ZML1@l!vH4)H**V`)h| zonqvsF+d89HJ6US!P8F0my?Rm$ z=Z)IkF+DjxdjxvMXV}r>Jm0vpDNi+#4z9CR$Ka36hsavRN!ky z3l<3FHX0odlX+}ZaKp-%bA(`WKCdUpg7T!Cq@dLXEU>paGq))(b!wBTzBOeK|0G4( z^i^9W`E{=z+LR#_ z^!Lc#G{I(daX1I;T%{(BuU60b4=GHOK*{C0(YoT_@13)ylr4bzqn-_FT8C9Y*CI6 z;;_~KkJl6&MbMl9d2fBKfS)zEYU?6rfNKFjtVE{L)DpP*I?T{g+5A(1o)mZXVtmdBYI=Q@rcqFOAiswJ*lfmD=fdi2gskG!T?Jhl#A;0!+f zu0I(osVu@h>e0eWflKDc*ex>gqb=%bN*iAVDFn3+MTfKxPKp(}r59@w8meggkCb3r~C_S6>pz21Ke{FI@a51n&FIXXBNzg@22tBV}g_SSh592be z8gj_WVZZ!2zOGJrl*2!jX3O?MY-yr1|D?KLlTX(h=BohQM{Um-2rY%M52Kc~3cvUw zGLj2jh9ndRoPfGjATV$gfVf?!Gl*^Z?g(9=U-cdO7=k%it9b&Isw&yzf%%@cE%(4$)8%OuH7 zC8lm|*OA<%1T;bxy+(H%7*wJ<(;kJA-Jgk_0+tX~DB4!v=2;z6<^o>>3P;q;QS0`D z*jD7VjMXluWIUXYv_5lb3Wuk98xDnSc(za;HMou+w4$ zVl9ot-s8u>8S$8-1~gbv6evb*s_=Io_Gd32KW4#gUFP0>fIS+eM8ec7o*8q&%D}ER zaj#p2xyLFlib-q4sXW#}M^D#5bm3UctR+ zh=1FnhPp`gL=kHlhja}O9NJ7IX}&P^YFD!4s0Zd;2; zqjA*F9^SZHm#zORkauO7NIDDsN=0WV83pcku^w2ftCvBsUsgbkLl5b;Zh)Z>(=B+W zI-=X9Hwa8&%l-D8KYdMEjP#IDEGicq?*r?JPc-Uly7}$#e(btTCRl*k*10~XwO@Tw zW6$~o+c((RRr`JODXl&8IgK6j@2*ChOLhMXbY+diw*8S2MTQI^B*qi3e|xQw>f=Yp zkH(EiD*_IP{3gEM#PzD)lOen}Ia-y>W0xBIU<{-29M=2!8m1Yce242x(qh5;>#t$JsI2GiP zm02h&m<(5M_n{Tf& zxcwS2pN>CbPynJ+o5`k}41)0iwNGteN~pEXdQp^`?}Z^4eC`|;i5%ZR1N#I}9Bo4M zE4)*~ODxpTqtvI-ij2MqUBSQ82c|65bdG+Ilv5;A-ZmXU(?&-d3>ymSy;NR$k?3G7 z9k-zU@o+pESo#XS9c~Ip>-2o7_xo9L6a8KigW0SzSq;7shb=T2e>?Q>AOB$+Pc@QV zTUbs&@5+nFw~|p<;wcx#nlR6lc?YmtonLU{Lk5~%G92dxoJ*f=X`&K)s`WKio9Wb< zYwaNMCc^fu<#YJkN6~EwdNH|hp-|;uX!RY5{kzz#bU_0+f{PU4H$|ST0bfiNO~~hQ1qsYvP&WQk9}_v=ZtrHb)WhjGeyS^ z>rgzKrMxmQ_*<+_4)iKFpkc)R4XS?nAqvON(t`%4-Kw#s;x7Fr?- z!@0?v3T){zWL_ZgrFK497viONLjCpy08#4eyUo?Um=`5DH#(YWqIE*!SPzdwg_8Mt zI=OrUaT$QNf1@QLd+J}QoYQJ^2~;JPcgJ3&tDi4RD$mEA>4~B0F^46CWE!C6(r=Ko zt9zGAYqp$?_s6Qs#<%_Av$yOi-q6i|tZWV{%!G%;1$Q@s+mA-l(Ax8>se-siPhWt9}*QQ+KEr=QG+lY?U&3>MJ|3V2;g1ROg-az^--T* zZtI&V=Ly-{2L4xR{rNK0iim>jO&T3~VxOy~r#i(Py@=Bp#?Zh1?2Cb!?0Ga_c@!b| z5KFDiKF7*Hj_7P7%D|I(3Th2&W|aH1c=y*Iw1I}W#)T{pCirS(GH-$rHMz#Jfaaal zU({m2WDGUVC1qOkPmuRj9W4>C3}&?qkuzzDToD7bOJoPQpXMujBc!n?tRROeP`^C$ z^|*)ssdg{s*-fmG`rQ7NKV`Q`(M62=P^5haQ%qx%YL-jnE)l8|wYGpf5hg%k-C zO8aCb0U+X>XiG>|LxXxJ3FKsMr;@nBmr!$!;SQG&LzE+OSRc3^3 zb)wVVA~w0Al+w<^6r^`S;-~fdgYitrl?xewZasRzA%+G(7M>=Gr4cI* zGlHv|;O42`kkW*K(1MR4yzq{ls_BO)$vo06(lDr(TXk&CZMF47Ug&`q)B_QY9cI|> zP2oPAccj*?VZ3Al6<|QcQB_7$0lGyFai|J+N3ILSFOg-A+oNGh7^GNmaC&|k_40x) zMv#v3JBV-%bm9z=BP?0hiC;s=B~rCrgDg&wpETMkP=J|CH#jOkRf#29XF5{}ujWKK zDzKcWiwfPhTW9B;p<_b!JKMIPLN}1@n=R49Z|f^`+Wk7DQBRBQcP7qx=X-1KFMQ(e zozl38$q${EF1N`{KMJZS3B*wXmghf zUd*1)D)P$UrFH5q)~uku_Ln~48#RyL>Ild;T3WBBzW1&EMbClx)yPt+(WClqfOK9FnP7gQ&b2O7WC5g^8zB>O2p>Un5Q5V_*z#<1} zv&A8V*SUdq+_n;3r+~gq17tTVD50#+7#J~?ggh8AZ{gR#)yKx;si*|OyMbVb zc?x0B`-yr%0rNvpJ-rN3M4I@22LT$=W%Mw*jxN{gKX{iHo40Q>@N?C=!tq=dMScwt zt}NLugwjwppRB3YTQfwiA8J7DA_3*%Y=SYauO0an{H;w0t3%f-mTpoVSiTUowOj%| zVgSpCdMQZmOUv0aDS3*9!ml>KD`IBUP6aelBH}6*AW7Db0mWpzY4B8#uW~^Ac$e6k z>NQsV4!PeL;yCYkpE6BQzsIA|Z{{A4M!&v$JpK(m$K&tqIWFTjW+0bD)_W1ZLAA#? zV|hHoW32IY@8w&C?$j!A*Q!Ts&|yKsB`_8)EC9(Z0=+(PGq+AaRZ~{g zb+kcG1D7;Cf>#SD$$kd3Mlb22z38(7R7#?YG+#tep%bP`&_G|$b?|0)n;{A|_F>PZ zZ6;8s0A#9W!J?`{Hj9*m4=d2iuy>$5pEA-O=XA(9c>MJ_*^cTTzZ>-*+kAmm3w|6B zswm2NoTqPDxWlW~p-VB6CFmzam!F)Yo%OHa3wQ|wqaZConlYhnBD4*3hM;;_*!(dl zU-7N-n-$E~*eqxuTZ59`k}HXm1kaioww!4Ymzn@N8Wrs!bKelEQC_{Uvgt^^4YbRZ z20W^FjOef|G#!J9ng$D^h`e56?H7(kb7vWJ`2jOxwJ%%xdWY=lWtiy7y(#Q9quY7r zrV_Gk;`4sO&0zgr(0hVmR2@9zBwHYN?jSh9Jh}S`*M?4;g>7R2cWI_Rw&~5y>?TPo zfB}`rK3S%3a5B?)nb!Eqam6)4vZY}zuOn@`>4B2;qiLkH8ng5ZcU4aondDHtDpU@| zzTn2=tQwMP_oY!zzatBxpMyC z{iG*l-QT8djUT1!_R>!FG!~>k$X?69z(3czQP!%tJ5nVaoLc%pC}HglIHM_1Ui>*k}*tupidZf0Wp!IzL^`iEGivW=L?v zDY5!kZ8D2qML+bHzrQ&+I6HQvDHvatA*y9U62WlV$?<^nYo}0rpJLG;3bKN#2Hgmq z79H*%NAycH-am@C6K0}YDl7jrBthS#Y5-BZiAY{U{V){2=v7AFNe?#738D|w-LFeR zeX0kt$ss$|k2hM|fIk9nvH%ucV!`r!;{~DH?r5|>Iz2nncccCqDIYQ3F!|La#R?%x ze)XdYBcpgbU%J16R(5<_xg+#&$}J-#W8j)%g+}?ujyttx=<#^}^d$OF4fS}W{^#gq z(8z`hpc;C=2oK32NYhzTmYA&esd4Fzlrq)Ak$MW`@u)vjHdYQa_nC6J z>hJXXnFRHm4sZ?*M)+^d;Q%>TOU%yW6NhWXh{Xix_Yp#b0%s_8rX0 z$e9|xRQy;(K=tllBklMi0AEN}X;sX^#V&zB<`BQ~#%r`H2WK~YyLhW+tR9Up#0^)$ zxlZ)nrm>c{^bU~2lA$U5|Bm^7VRMB;s+>kIZU|NfO z;9AIEz0_xTI@5f5)rfY*p9Mq7O_E%35H7hw;USNxL|ENC*q+ToMnDb^P583w@^_!V zk-l0Xj@V#y?M2@@hS4X+D#8E)N>kkZ{DXR_sZ&SiG8IhX>MD`dr=3bizlbMgJiCMx z)k|f%Y9NuVQv1w_VA_q_D@OBg^_!uaOfjc_OKQ?^O5xE-v%f@CL{P+AM4*gzQR4dESxPH}`Ub$6e|keP)>_o9oZ zy_z)rvw$pp)7`o7VMEWwQu0B9E;EjwtFt!Kt6SxQe|eR~0Be%bqI?n)u9JY;gnjq# z8S3gh@TjEh;-XQ2oAM$^0W>PB!3%3REWptdbafaV!QH{ds^9V1*@*k|6c2M{^9pRb|Uv$W&nRD%g!@jEaQ5|8hQp{cs)AxO>W5ug6uwe-}k!@1{ z)I>|9dR)`3!8;kKaI{XWp~fn4GlQJ-JWrk0W(gOlQj?}$wFfr>@hJMT^|}rVAGTNd zpx;K}RQ$?{HSLqxZMeGM3&}a^mry@p#@jy_$Qph&YH&#YQqUwVs|-%SoH9d%%ZAd+ z(+!#J&x#Vty7K6AwSnY?TAjW!*TH-9k9@F|(UQQk%!I360yz1;RBq<5ET?}bo--$G zEGy+3!lP&V<8jniPDF38o!HX7^&8mQ?nm-w4*$mP`*0uVxeiBz9l{dLni3q75Z?n8 zaRU!XW8L|3I@kNauZ2p^4b=Fty|JdYJRmOPKhaGjnghmc(&{y}ou#u2I$ah4NJykv zncMl3u7qf~6^S5%XJz`;0tTY{sfYkf%lHP(rP*qP`3}N>B5VsIpr$04TD9p2^1X6p z8<>&MU-bd4lj$Nyr&$BD=|yolvMbAkLgKSII%8h_$?_&T-XCSr^&<%q_cJc?=0%y6 zMbw+k#%w4|1+2EZb&^RiH1+3hN^EPL!JvU*$)}w6)Q6hc+ahGJ4CA>!268Y*w+-#qm0{uH$qD=!S14#z%M+Rym>0%s%KcuTaY%BNdUKT&q=W{1OqO1m zi~4YZ(J;IZ;!@0u))5ea;2}ez92*(+IRi0730`UsBEnn#Pd$)oRCpt>j?bYn<^eED zROW8>U@Zr;1Pcw_Gbtgw_=;^65EU8ZRF6fDrGA@74%i7CmP;#Ri- zaG9KQbzr{%Ucmqx^I0>BTffS>fLVWh^^vM2XsG*ga{JY0s&>jsSyt*Z9_p6B|M>u8 zK%Boj_)55|6W)rcl|p|6kU*7Qih!^CTlIg#Z@=x;{HwFm@$giCI#>%F;xch6irG{| zhp6TRd2_@Rme0JF0HD50GZ}LU`|ZH-of-m4#ZW^?wYW<|4JN#L6uC8-7~M|M1bncV z?e&$;5TbU;4A9tG4Yk&FSj=HKhswyc-=11Krpau_7ImSgAbq+t{tYuja1hb>f_@|( zPTe!-2`~mkWOZcm?(aR=#kYS?9{qc)H-8qYH8*i^>lIZE>mV1~%4&3|Gj|l+y%88* z2puF~2buikP}TXTuMWTh|Kj5L*=W>(XWqrsz2|~-&G~?ychE7Hl&-e++apXR&l+RO zv;0!MUQg3m^h~+ypJ0=Ly7W(4Ytn<2=$!`xZ*$vN?tb@yWIPM9gL@>dyATt9{_@M{ zaLCNgnvxjVK^pj0)dww!jE&o$u=M(qB%7z3rCANu8(Y1hKI{s(eqHHgO}(M3)cGv6 zmhnEbEUs}3MbL=IHj_vbaERvAMYttzoeVRo8}-PF8*9Yl>c$`oeqk-z$Xr!S(Ttf{ zD+p~z%2`yK<kA%2}Ez^6KUW4>cS3V2>(EnHJWH`tE7m4>C#%Y=|s8jW=`1C2Nh}AR??5JF1m< zNzEOst#y!i%!AdX5)8wmuBHpb&o7azgtL73a~0xrc1(B?;NmM>Z|K7w&XkXprv!kh znjA+TMkkNd|Ioiqqu+@RPEXBLNgiwgGgiLxO_I<6iBh7c=?rXzpihn6UbLVdum;Gm zc!gyZv`pC?!Y(nubjek7w}JEkQ-V)!#m7Y>1%<{{jN`zKVgm<5-97SirNSwqd*~Tr*LhN?yN#nqz4zexXfHqyX*=EUdv%1icK6Os(r1No zqhT;F1PJ^(soHs(UFfRunb?<-zO3gh^(`Tv`X(;n%_r!pTmIn=zJ%o>Pc%j?UUOB0 zIv-X`%1G!CCKzHGXl+k1)#GWYpM{e~^AdaTHC{tjfCYbnS;S`7XVL2fk_76|Y@n8a z{o|iRmuOcn)SC?Z#a{GUy+`FBIy_K6;*0-x@x|vEvN3+-5Ueftwm7TVkl5IT!0vcC zehEGEjrR1C&j4ZV;lNH(TA|5S%e}ECRC1h$GrVf~uAJ+6q?fQNE{H3#E)eUKAaBaG zk%-+?)=3Mrx&T@eS3wq@bpyW-kB-j(W?#d$85ERtb>p)1Dq(HWu}9G0dKC^xoE~Sj zmAuOLAQ+8P=Wu97jT^bzpziEmP}tV9{x#XYWNbK8?=}zzoT&f8-)JPWNLub(<4;3E881I%u7SNX!A1ZGp*Ucyb%QohkPs2vD> zhw++$a?hV_@+6|jw=QBSanIA;JWG>I4Je|cd!lNV7W=w8XtpRA6A;{@A;VkVt6yM1 z+tga970g=F3$8rk>uXyuIJi)pNal)c8kQXo0jqs8aE+Dh0*+FsO>2aaf3M^A^nYdvPq?6dEZ*cG#Ud>m`D?4LY~ghf@pme8CU*!kzE1h z$X7ZJBb@{gU=Vrhgz)w z{q)2F*M*>)4ne8CP2boKT?-iXD*>M-Y}W1w@i03x(w3B>%DYkz>~&FruLRp`maGf% zm%safz(LF-EZv1mQeP2kHh2IOdxDL(*Hm_>H}+5P%dp$ISUVdOAi&HR^_t6#Qr`LN z1x3`-Rzofq7;3)1Eze7B4T}PA=K}vFq8u7Xuj9gmjRRh5sPI(>D-n!pvai-xh5C0k zfkhX~ls5z?>Iq&P|4zR8OZmCrPRNsaUK)z`Q5*cj?3#A%xKF=|jF*i- zIqK1>ULnFIz?-S_zH5i=fh zH$(W6>8Z38e2Xv(uOv3@tcTEmo)#+E*&K<0sb_g3RbX)-)mObh040dGL^P&FdSab0 z%Y$8vRx!v00~;}D*-n8XtSIv|-cxT@dl*WWDYOTo0+i~U+9i~ZH!E?uO1Ml1BUf%v zZOg;Zywuw`1~3q)9`+^}p)+wpO%ydG$_QqSD+i&Q>{8B;m|e)T3OeyPYYA7y*87J@ z#V)}sQ}$sr4wx}vl5BS{h9`T`$?ypNheBC@l~fQIgI<%U=lOWKNG{c)m(A3_@IMa4 zP@5?Z77{pFq3k^U;_0$-9(60S#hCa`^&fk5nhmfXY{EneRY}NnVv{u#SCn3U6<4rm z#x)5{|DJZxzO?wLmrl~xbD=yB(qf_xf%W2$Do(!KPD8S_jOF)#bZ{KKj&rQ99iN?@ z{r-$f)47)%hSv4CYom?#d~AzJNej+~eY`x>B{JQKb{i#6iel zr032fQT5fnx>rTreT=(wJb^H9K3A{Aq@bPpF%neB_+-zX&=aCsUgbs%lVUL+GaukN zgIZg}^gDq4T*kI5(9?mUfv9-HI|vMLqL%Ms)i5~v@p~TF^+F8;#V29!L+vCzz8JjR z4W;%cN#h*KQ@-cHUamov2#5=3C4523IEvQ>Ffzdz&D7V@He7qc_dT;v*L)3mj2t5z z^Fk-lCQ}$FRR5|G%#wA}NbMQl_q@VOaGBi_M>xL%cmEg_JYfO_RxJ*>;-`s6+Yyum z3K6lnS`tNk;MjfyMw|I@60fTz*Z?pwAJG|u7EUTT&>n>W^#=Z&%>twt(QBzj;Bzb$ z;!u~s>>9cSi>Q<}Ya(<)tqepi6U}Bf#i*86eN&KOf`P-L3kOM$&R)6KP|@Fe*c&)o z#W@#02k5i3QQd6q1_hY%oi8Kr%!oue{}cn{6Oy0w0js4-wwoJXZn$|`{CZl)Kkuu3Hznpb%UECQp|v%>eA-dw>X<=WK^;H*k+Q4 zVN7AU-S)f2eeQq1w_J0_B4TXAtqk$vfSNpkR_Mv0SUh9U}nF>JP-RUM&_B`8N6ALY8GP8kB*Q| z{D8%tL&D9kTofo9XpUHp1ebZWfUe6->osEq?RRyhJOM10#+uTD6K5n+$GLqhd?t^E zLe2LYPYxU&5R6apJsTf60}|rS?c<>n-+egQ<_e{FazG*W&FnNNKEFc6ETj7DeCEFT zb6Dv4^z5`ZXqJz-pPus=^qh~0GUy-e<}ZbcxemrrFvSoCuGD^E7aa)wO~+6f=Mch27yhW=(?AK~%tauHkooX5nOm~AF)RIi&k#ADP+ zGRKiR5ke=R(0c(HkNyk1?i0NMpQ{E2&1A7QvN7u(TR%LURH(q^{ZV9b5%JE@+ zD4e>rs40|w#zBN?kKBr(Ajf6>2DVTL*v4xmL|Wp_t0B5i7eol<3||0sh%M@V_hG?p z)J*Lz{C@6zJF+M6&vUAZcqZEC!(M4v__1!Cvy5e#>K(~n-cMg0=qUozMa6ECj6@5a z(#oJ)0pC`PbsMS0AO4_IRam%Wt3im=;bCS16o<>iEfiZ8YP|yyzODTKu6FQrD%RK0 zXgY1A`krnk=@d8VR8u`nr-RN#Y*3ah_*=H4B0BSrwCcRN@o25KBZO`t17PKKG@(Sh z655{#RJeNetU5G`vkWLPTLJ4^UBGb&s!A>g^k@Y5!O`g!!=Jkif|yz=uq1%R`nsYq zfH8o++N?vdzf0Z5G|8soGE?)J39TlFKbaII@d3IOdc3gVR=;Z2oNW!bcPd0}YB^Ni z+NIsQ-$IWP!Y$Gz2NKF^&B?J%{rj>N5$cUxEaM&)St&aN^>@{K(*ZPGZj`}KV6_+Y z&!NuYI`51>67@vRZ%Y8}O(TkJ$#nYB(INcr;SB$Mg8zPm|7L@f$0_Q~GLznXxyCf` zES!4}565IM!SwCXlq`7~(p=z33;vXObyNE!^3g#(dyM=NvJeTI#t5GBMHf^LNJEpI z9-p2dYa%>?N;$-15)#sI0sv;xDvEryzuKhNF-9hleVSQ^IUzwOQv#os)aoN(|6i(w zbB;-Q#7XjzB{N;b*F{>+HY*_5>(-IH!t1R7GGXw!-;$q>6A0ZKl2#}W)rEjwPqq^f zhUdT^zgL>1nxE9$A}iK;dW8?G$mnIb`)3?4>uD$^BHXs61`+ps!2C(qNSBX^Z-l)E z!Jhtre3{3gFYf5o3Uoxo1ARrJ$$y(r@g3pt*G2ZLP4YJCj{&Q8yaObjPSLAa7eu_S z9=o6SeR2u|B+-Pw?C|5AZ|BCV75kU#VD=UE^2(K8OLI>`q=s?rW)HNsf;xJH>1J51 zC>G~(ETKksiNeK3kFMSp$?J7%3|MiR+FC*NhkJW)NS;qY2U3u`mAU_FVDH^+HNKuB z**_&*pgMj|?Eh;YJAlulO&3dKfDexLPi*^ix3YsUCEiXw9PA$sWTmZmhfGB@I3<{@ zKwSfzd3|<+S^U+@NG*98Cg*>w=iS23KVczwRwA!qD|A7Lt=y;3sV&?G`T_gNTY^3c z=TJJyWJiR>U6~3@sV7@k($OPuV(wUzMJPMN4#ARCcYpnddR@oj@T#)(p9X!3zZx*5 zy8Yz}b0=k@%)_dVsq`}*g!MD(!3bDI0f(u&+Q#%OVnOJMsUAf%e=~WFV6_rH7d0|V zPO63kgO3qj*^x62LncyA3lOsFjf19RP$uZrsC^N>q;+9tml*kz8F}?9v5Df6J;$v9 zrxD?1$#kQhpt5At>dW!^8_l&%)EPm7E&L@SC6HTP&`;&yO{DfXAw8gusy0Rz#CuG- z!CGLK&err0{Z!eztCcb*K__5P%feAbzAXWUYt^H@!ZKK_;4hOKz{8YVU2X^UzFs z=R9D$&8zk}0s6fHSY@1V zUu62uQ0#ehx>KglY+FvcPrK#yVe-$$bqN{Gl*L@b+6OX8 z@*>)(4S5muPj^eIp&wgIriC&f14ql;x>n`10IuCUj>ZQgN{ihy-}be7u3y*}7!3Ub zGW7rB2b5b8flNZ!3^B6g6Z$jk22mKrvcSDptH#+}8GIw~KgJ9ai>q3T5}**qFdIfy z9A0QfDSo}U1v-sl?XDOjEc6Bu1zYo@akVBGi0X-|k%wSM!GG0OqiifJMS;HYNl*Z} zx0VpXHIzZx8^fV1vs*1QmO(?K*iChwJ>L+%*i8VZhB0QPvVd};je3HAyilV8Z&gfX zPzBQyZ6a)bGnV@;chd}08~OhLDsQV;c0*qfuT)t3ai0(!{( zPrrUK=rHh9l!99AS@-t&+&zBswcBeO>s|i=)gopi)_hwRg8gE7%#<5NEtSe4Hf^~xu9 zf0HX4Z&_^WrHlS;kdlqGVo}G53D!IWyr~nkGA%77h;5`orWjFIl^ea+H0RQ>&J~F$ z{0lYxPF>=*TBD|7Lo%%AAkR!f)WyxT2M z2)GN5Q$Z6*H*0L6w2HO5J8ksDPluH5&{3;Lzgm&1~A zyLo6a+kenMTvCfkd0j$ZvjVx@fHM$ofo$;lio;TimVRY~e{26OsrlPAnm;&)=V~Tr z$i|!y{1rWn;vU%Vpduk{c=2F3M2F9UH&yj)OYkXUo%LLUuSe_G<7h$&2H_^$Ce_2d z81M&w%eE6PhBz)*cg=*GKF))Es5kL%)ffZp1QKfimRM=lE?%t8Klwt7W4SC(msw*i z{y9|A!VnCg=L<@8Qu4JfwGN3BRyBBI!v%fisz%8Se7_>s%hOJr1=87*u|^Hhc0FQU zzGsGS0Kw*Eob;mKi9q*!qD%@P4$9!bmsaJy?Hv`KaTo`$2d>NdY+E$JRKef=4l?pYdVwFC|Jcv11Uv?Yw88i zCTvP&_?~mcz^A269m}ZD(&GNzNZ8Z(Rtn4Q(K#3->Iw3U^`?X%8&H!`h7_IcztmZa z)uWYaWvBklYeEz#!;{n%NUab;i$ugu8mw4b3pPRrF$iOp8N#l(y0@A=|^ z8jme3(g!5t7${O#_N&W*cDv!~9ZrKk1PI7^Pr9^h5IAnr9tx*QrkirtL9YrBR}D6fs;dSt)CZW*VG!7} zV~1S<+1=Wslp<_Jf}%;tw$za_)T$p<(@+_2-#Jl6Gx!IDm%01t54$;(i=uLCpYAJA zOm2{dxSDf1sr5Dx&WVsMYv{PlbK-a7Z&|V818|Yfw2L%8(C6rCO-ui;m&!Ps@`HuK zP3jV8rDmtm$sqdBbYkO3%~Ht+QU8Rz*^`|;S2xqG=I%Pl1jQEGSohUab{>;G=Qs42 z9_^pO6g|>U>Fn3|kW}AM|M-+V>C?b7Y7}}7RL%ST^7h&UDdfCvE992I)%&VB4~e9k zv;zW=p7CMy8n}y%rt=?rAc>NmdrOm7+u5|!8wwmJm2`x0Us{0FNP2klJ(E-{Sbqpq zU1Es6gZ`rl={qQ6#{d-p_bpALDT@KewPEd@7n!d?rj984cn0s6;Cq+5+Bl(5$BG`z);j_qE5PqbvvYGidLDy@M*TNdW^E@pmrE zCk7D)b%mC0sBuMGEojr2#$7*t_1wxeH;`ckW5=5MpChbNR@2|oEiZFZFOeF#$^ez15n3=f9Y#W^u{BqE$~;4HK0&eeyy9U>^_4*K25W^wsbC)1-G7d$4&}Ng4itGw`rbg-@ z)ZYo6OaA;Cg|mrJdzAt$gyUuu$!bloS@k{wFiqJts#W!ej%<^r)ntPU-ZGgkV)aHY zeT+(pEoFcgG;6eD@86p$K>!&ev@io|1Yr?^4%Gup z6%KFCO)@iTRT$lF+FY%js?Vx{p~cW7AA>FD2`zS)$X|U_zD|@)rJA}@h7b;Fpt0(( z{?ANdYIrM9rsaY;Tp`}C#`JQHy8(i|tLdUBAoFndZ?_TxITUc)1rQLe6QXJNCx(SB zS+LSt3uk-L;Yj`eaYWMbqhpCzn8qtmh-=8oVwS{zxr|8%&xtO#g%SnOIw8;pT-Qu3 zGq2UMWouZ_wz@~B#wH7N`nrG_E+L8&N|Xh&bNVTCPR)N&l(SydYo;U87)>vWSbL!1 zcPq&`^ADx%F_JbZ6OG?Ct{H5~GdX%%2{5DFMhD|VJdV5ipT$IgO^2}=zfkAcm43}1+9G|sMI$+p0I zb0=^Qko$_WpGLi*Gz{}X&=@kgmSOXD=Su#{?~o-v_JHUz;0JT7x}Bvn!q&~MV=Q&D zgGjP;nR1lDxW~dr<9(TvrL-gSAKGQGR+~{^v3cGJq)_F=trx>bP-g{aRQSmBOvwkm z^-0QyS9@GG%+FL1tiR0nza+<8)EB+4iPC|TPfUt|I$O2G?fQ;j2z-MN2>tVRi#HGf;t1R1Mw6$G)m!WI+p|_CsXEI@D9j1<0A7S`g9g1?hy@jf`Z%xDx~ZcV zF>pQ&RDi5@*Wfqt=2W_KC-cli4-_N7{H*-0RJb@P%7`NC;cZaZy=j z+g4yFzt!J;`t;$&#Y1q~ji;-Ti2w8l{}3gPoSn==-f<TU^2wrV}N0m(;1iu%u!$+=$S=~OtDbRYuA>c%&v zi8rr}U$-h&8>$=M`the#W^de;7Ia(E@6@fa#XpBjyGRM5x(t-%r%>&Ed%xb!MGGA} zeZ85*BC@nwe?Oy(J9ahM%w~&w_w|IY?${ZUX5FtRAOfFL9S?AFWodF*p?zm#5)iMz z5)iE+lvEwZ6$4|^J>~#jOuTg6Ntp6~BxA6Ev?5;`a?8=6JRQgwGlXL*%kf0A~g#<9Kh7xdR7ND;8>w6k6SL%soloij6Ga??tB}Uy@n_ijC%jldhk`+h@YZX_~ZUD)S zVUO--1~Kat>P6%0IL#np!PSNsL|!lByz?k75-0=5YdXGWYNC;~DSgWd>z(>}iB~3diO6A1QC^zWI|deLk(71t&3|4r%OtVHCq-hmE)+^ z&$ukI6oAQXp;7BYb?cAGoXus(FxlRPxV$yUl&G&HHX;}1nik==U8^jeR^3`l3dvKs zrE6N8V06yY;vMJ~4!>n+^r##^r0=}65sUzey%JiCzg>znF-!_d4y5#cY zS_516cBrqqL2vs~vgVs&#CU16huvO#Rpec}mC3fB7jQ}j28*Gxbkm&T3!rRCbW2|r zRA3AtSVY!t{XC?^wmTH@Idc?coN^XL zqw)e;sN!ZWUHA<{Vp$>(KX?N&7=^fKUs_!C{!qQwkPf35b39FKV6sMfKxZN%YLCm` zQ>4X&r)9!=^hIdtB3;(Lhn{x4LfuyQ@cDNbzAo=ejY(7|Ce)a8ysyH}a0Hh*5U>AF zlRAjZfye7m#?z#eRd-|ZDbi=des@s-I*y!F_anoGJ8e&%U`Jv8aeo1C40J#n>I*6> znSG(PW?d9l6lXQ{l`Hcacr-u62TgHvh%r|XxLn{8I6qW(`YC#vhv@$I=3{eYY!msC z6^W)$SN`lmeZJ&i0@wV|TSR{`Ph^6W3;nCPDS#tguPWl7WTDYjniWjuOHG*r>=+i) zt0Y+aNWX0P_W5IY7#-NOw;qj+a7&G?fu~`{YM>g8tS@#n%pg%TjNTR*k)!<`T*K4{ zoV+1`0%d>PKo1tU!~6q+WD2#L6kNd-j)_%jQjmh&rFVG>>8hnBJj(?a8)g+XceGnp zt~=evBEhP~vej@ykuD*HV)?qfbD#CDJ$dXw8?|~}B3X{RIVB$e6KW)*$yr<{n)IT6 zCmNsNWC?ZZBtiAvyZ^Hbae{#+2nq#v?O$e9V;t)ueywhsSrT3rQ`q4w8V{2YfeyMT zq%;F5IF~@JSy&-sG}>Dh1(S{@jv;ueA$*OS%xg(H!xBXRT=Zsij9{^bJ(oFIg|pD$ zbCA)^09n$kwb%OSjz%U+j~@}f=|EbmW|#<$0&d0RvI)-utD`pd6pP+xl(glbAjROolPnl7BPLo;Gc-kGV070_g9BD!rmw} zt>x8~(O@+$)DCf(&NXKdUWT`;&$BNnqDTz>OW7w8k_hydi??Rbuw;;}a#@n6WpV+| zG&a^+&tqjquHQ!ei_hL_wcLEh^Rt{NTgT3jVO)aAK@o{dD7BJ#td4z7Zr8@8LwH92 z;>kl;Lhe5OEh_TCg`EJN(>2uby>{)#BciHXwA8OM%+2nfUAy<(bH4L^ zg42q_(fU^7lZ9cqPLPkTLo~$8R1yAaG$VGR*RB-{3uS`72{3&TYNECXf^+H>Ge$6v zg;qka6c8~M$6;Ug(ePM(QU*)Ez5wm&cH7%u>mkhD0(=edS5=Q~TvbRIZ=sXANOiX_bJ^v@#wG-;v z-GAvQ9e<4H5cG32xJo=1h+)g=d0M!dtQe!@#3J!J6g;n&#)4XF#bLO9^bJbjEdOeV z;kkPA3+*NqvU@gWLl}S=yN6%tr43U4a(g8VD0DM1q zDRd^YfjI;MbMsC4MM6Q9ICCiY`Mjz_6E;A?&-Y5*_Q;&X89YfNP|G)J&`+nsJs%AH zu`WvcHQA+L8>{93H?0Frhv|ArQ)Gb$>pH~oWT0`v zW>lzm=ALUrnN2Due+oXYMu^sZ{1yYO1gU6S42-*+l*5#8)P%BR_QxPFc6UG-9cX~I zi5Pp^NMF$3)~bUM2FXsGf4}ym6(A|Vha4A^M|^zL^^?P7tOrGE2qd6L({CW;S6zx; zhu(HL@W4@5y(#9`M9vFm-rgXX{wl2}NIFI)LQmb>nY6CXcbnw|@g+=Mn89Kx3nc6=~+FBiQPI|=S z=JdfbqKYs{r?qvYNL4FKXA>~CnY_~-m|h!kr-!9A6LLSI1Bp7%9adR8?dz5oz2sE( z-K;d)b@#kDD%9>Ne0TQ_DqH*K2UyFURV&( zC<33!L*@__8^1KVB#r1&oRyROCIfzvSe;BKaPGiU$K8L#{QbTfk0c;$E!~99QF{cpyP*W zE%^rL%nBqcH{gPa@Yp+dZW*}rw_MMCh5-nE<_RbM>B>*!R&q>0at}^cTTXMfNZnwJ?>Es=Gz0xGk5Qyc4A0$f{J`g7wJvzdy3;A;@RGiI z^CEh#wZ~tmbq)oFwg9#UGkSjOQSbDM%W=uM~xW#FOc%5R0CPgq;NthY`7osusvg~ijDml+rb7C#Y<3X~FTn_tdtG|IEJ z=di|0hJNZME+$%HL^TWpZ!o_BcK}-@)kYpSjNb**z~)4yxJhmNh)(DNE)LkL^sVZS zOQ8P_zOnmoG&Y$glyx$0qf14w82@7SWm3u<&YU+fFfeHy#6$-4sve}kKnS< ziN(W(p0r|ye9mtRPsp~Bo`-*TZA(0E(VWprSV2+Eb2@3B!&888c}{OmAD{$S`;$;)6AFpxQT`+H+Os=FOl#LH3)Ov z{bS!}w)cgjl+q-Wq6c+q)KZu$DWzdMqQ#M)RTqYqs%>X@5cLm6 z4v!v7My5lW_xIB4gPq~f=)xS>UJpgD_Yb?#+v)`Gwxn)`uLa3sI?BYf=XrbH&if{M zH{=E%a-#PUI@|94@gFqkBjbnf%gQ`pZIg<~Ub8ZgNrQS0H_=6|_)u0F$(L~mz|v6F zM1`GP@2Al(_-}v$|1$ao#cSb#U#hj~7dYSf&wf=Td9V|`v5%Keah2>72@WicedJX6 zQAJ*v5$hJLwy z#udpZm#JZ%P7k#ZJ%COl^<&NL(PqQACr>oBrR=*1OB+>rjC!-Bhco7MM-CKjK?+= z?QnNI?sXQZKz<3EHWh%-)+iykpHDr(uFi5j7f60fHLUG(N1Rc}9C%aWWTl0$wTi{- zCIt(5V*2Aih}0rDaUo7^z3y@hsyO^hY-KR8{!!AO> z38Wp&kXmWK6)c%tWw3_#T1n$z)&2;V>v{uL@?pYB-5Nr;S(tQ3x+FvPE(AWIeQR}- zOJ=P{j*~VkkLYX_rHUt2EFa;<|;;nqj%Pon-1{ z`W7EZqBHohti+HkZLSFCm6)U~VoJKqufU$9w68+E8LF5lb;pTXY_zDcjT@RQC+Z9M ztqbXltPFOb_K)YwSv-n^bc)b9dk1b_=nOVp(&v6X+F zr8Ur>O=0xU7|Ixc&}h*zYU6-E7viGO;EJ{~+E5r(sD;H2Fa_=dG*1zX+Ok-6mp5g& zm?6_94p--()B9mhoGBKmI^0abQ2Jr?E?4XAOwHlgQVu;_2vyIFFE7H9r~wD&=M2Ex zA3B^vQlPY1owP-gloq{qVbWi3a(@K8yxddFQR}vKv|$uqy^5Yc50e~*LDcU^P4>}! zz7D8^s5vZF(R;CAs?z9`HLxyWr#k@qYjsTbS1NnjIfO&#N!Zo#Mb&WtcO<@pV+*x+ zsGan2NCUo+3{qJnbM^ZAd;0^jP|8IL2ccz3_^AGHzt+{!&^&#cH;C27NgqgU^Uzlj z^< zEQC@3?t%k~VJb*c26{Np_%bJO%KO1ggmO-~*1=acEs_LyU81YxGM?vX%F?`G8?D#xxYe zA~Q->H;Jaf!{%w;3!dv`j0qv*Jj)ovm?9lDCBFj~k9w+GC&rLzO|Adf43-hcyD=+} zGE%V8fvnXu@E&#F-8917EuT|8^8t(@IeREi2KVBMCIN;7_92*fyx*&1lnOG>O!N6= zO+zZ^P-4w@8G$Q4ja89fA@?iWrfS%hqNUp)bZPm*hkNFUHDc1$y#v?hYGJ3GZq8)$ zJYkg4Q?Bb+GP!K_ZWOG$ah-x$XTD=GE7Qz0M@~>CchOVS(0^@hL})`LtA$;PWYI;F zzzGGbJGP0RCtydy`{LbUmTMJRoHU#i!ZbgDlrT;)Z%zxVgw_cNR^0@6{Cw&j7{C-uvCB8*vWOR40vS{FZWAgr+Jle@`aXZn^o(*psl&fdbXk3i;^ z5xLM{lSMu*z!dHg{62bPMs+}mnO?$Ia9Hq3ytACC?XdLS5g7sjlo@{-O%qT&vT1k3 zp{R5G$T-r4S^8Rgz`_L#k7wIyR&JC~=xTSyQ}t<0q0(yvP}t;*45XfL?)G$z*5x`= zFOs-Xe}<1~Hy|D^^v}^KN06Sk;^-7YX3onCCzHpYg8`YW%_e@$iIOf4Fn3o39RetbtIi_qXu3#)jjn zma)+lF6Dx5`Hbwc2aW&9DRtm*cjwTIze_7|?bfeWSWINJ$*M7k!>`cj2@dZqz!9s8PDRy5|*D? zx^%Q=NyEN^3RK%k1X1BxuvmRZyi|5w0q2_1k>Cgv8eh&E+IjZkrPD;dwWXo)<=E|5 zxajlfTo#RIe6nZ|?5abF_4Sl%I0TLIn|XV67kKZp%Dqipx%)St)Q18@IF}vb!A!7j zT!^r;u8MVCRuneO&xxWGaFj&TPa`$}Srjt$-H;jFM#Jr$aK8eV6p#yUtNkvE)i$or z)*CZ=R^tSnC_N3?BKw^wQ{2_@Bdgn@3_`4)^CX@K8}7qs2<^0)jRpCdVJIz4s31LF zgMoF~tCQA(KG(B=BFCps1*+pkwSKy&KV*C;ld4;r3&}3JLZku^(1tpx$43Y1|4#<3 zu0r3lDv(qjm;1?P0ICkO4UL1lP9$UI4oQmzeqMPsC zDfuD}bgw{XS*_XgR~w#U!o?MpolAO}>;_gF zI?C3_YQl8YTNF&_AxTv{>Xcpzt>&;X<#~>*8tC6V9wl=fD;HiVjy&Vfa5-djnW_km?TQD_<8qcr zJa)`wmdeV3lsEmw=#J2b>TsAsQtW!6{iaUK)Ua$Z036ep0N@gKW6YO&bIYdNnnV9O z&2AAh)El##1E#Z@|KNcdYj=v8_4yQ9q-Nf))($AbPbin;CH*=vpmen27ExR=^%D;l z&aSu+X&2)e5OAIjPYDnHTR$L5Xw}X6+;VI(QVe}0nxpcvh{^s{Ux$;asv3En&+!aN zY~bOcy1J&Z03vO;A9O<(*P68(-vt)~<9e;f^+sPMchFM5K9~KHD*=OHratJ8&^tUO z2k;!op9k$qzc{Oe&7Lo*0~D}Pr#&V zKW>=ks&Ee0tHmk)&g%Ibi)XIR6fy$I)cZ~VUikZk{gud9-ch|RPTmc!e%6$B8 zdv^gfnBILG&*SxXR@ZMs={lH4cd5-hFTer=F4f!lb)2Q&-Ozq)YkiHiz7@5qMdj~R zCEaUb7IX&1?^Hvrh2x+Z^YutN3GA%aGP};|wWU|oElU&}&mAIp?X^4HfyPDgBp$03 z_Hw?SLT>%H%Ie6h_216@Pouqx?8nh<0NLZGq5g<}@F!@?UXEeUpj=DJK7ce&PONR`5 z9XYfvq1WV=zck@B`!i)^gYVVmnJ_lZ{JtUVfL)vP>Ny)Q-AZx4S`QT4H08ZAFB3C;Ck4YFAd4V5&%Gx~;t-t}W5<^pGGq z{|+5pg^t{~Aa|%Zn)^@K|)bf88{i7GAaru4r|eB2IttC z!a=KT?noSbT>Z(ZgKCvU{>Z~(BHG${ z-UvgQNY~gyfL1;!o%}~HFl%^UHEDF3c|?<;VL>CJ2FlduULfZ_3lnl6T=+Rw?|b5V zuOxe_4qAj07+kYXpc{Z~Q4kT3Qs0)==~Kqrdf7AS>iR@YJO}s&?6C(D)etlFoe zA4}CgSLpBORX(?7NU=1CE40Z@*w708IY^@Z&DVpTCUW>%;;CH6COQ+1qd*y;YGl;R ziTXDN2P@SB+1z8bLC_LgS@}RNMcK(n9W@4GON*7rk_yqc;WnA%YBB(W65Ut#c8%`` z{Jf*$)}V0w91XM^O%z1Clly>a7EJ6_s}zmM`Vbyi;?Y%>-#}X@>f{50BI>iqiw=aE zTB=Zk(*n-zEsDCEn|wVT19$)c>sE9?I958QtkOiCVd5)Ye4@@0Im`5f%oFeyA4Prm z&ml>#ydu#{d8n$Kw5ssfb%v2y*ur#l?2Q_dbegZn>Pck4zimgRJ4#s|^SviOr%eo5 zvu27;)tPmg=sh5bqpL-hYb~7D|}ZaPQ<8em>mY zr7ZK`#|hUQp!?OikC`syjPJ&O+fRMlC28+`&kzbr4Rr1XXXf?8{_ey$>mr2#i> zz`FdPzK!ML*XyV(Bt~hWv{DPcVr~C}LA|bdrN17dQ=owz6{yv`P09c@+&poVC_roX zyBdVcB-{wP{{1xL?sw6YSfGdfw!sgN^rA%mur94#%wu~0#vSgf<_&j-X5-fi zR^@HEN)}q<(j{Dl5VX#MS9gPH=s#F)Ic_AfrAXk^2|KH66Ez>AZUQ}CZ$o)!--&qfn!x0#` zHu0v2ui*00eq6@d=w)7PjTL4Jjl3{y8s-LFdV;jm=#pnGcSsusixefim|-_eRXsqzG7vmkx&N$nny)Hf4 zd(0l49PWQtJsKs}PY3@d-fFL7zL%FP6o7Z`cKMjS9_}C1I`B;w?*2LvvConPVH7m= z)p_vLdb!TVtQ1VA8;GFE$e&(9DE3D@o8ZUe9S_dKl(1r;n`yb8U#j_!OP~5@{*CxU z{S#P{(j1AD)Z*i)yI*Ld(oy~KnW7v_=^Ai`NTs2)?y`7tuWI5H& zn;h29;1V`@VCz$l(SUha98)tfl2CHrn{D>sf?JbP!EB@6T)gS^p!PT07oY#mdT;k+ zZ(Cg%P|_+`=Ey1Wlgm}V ztt zdWsBw&&MBw~! zLkG%E!$FV}_cNJ2)EKKXXi-8Jw4c~T>~p6 zg>?WzP`{BKe(v<=1>dFv;}vGF?GbgeB^~%8U6Vx*$RsBl_|2 z8qOqsE)B$n2{H55W`c-V&>7vJ+gV>xo4fitO|mSG)DY0WC{qG9*koRA(q;&8#o463%^%YZ4{x(F z04K0Hf=~Arj$F`Wy0}S$)tpcVvfKIwe?m7ryunF&narV)MZ73iNxD%p(^WigXyj+` z^TV5%#Y+fpU`!kSwMh#zv@+n`mi6r<<|%XI!&^Lp6&wTyJ_2rf2<>G&b@B2h9VlaE zg+(ObT;GEWyz30_dU*4-Ty#v)bZq-%7SD=!quEg|)lsgY&G7TX8(Sy?1m|zQ+GrhP zq&f68QifcilgjI-$d~j4jB@lbKk@MPPu8P2#Sw;obne03KSAVnHt>Lcw~#_J^5rsS zuuRm>#<=NQk?pOD%}UtCZ}ArR#@NXI>AC>Qf;g)SY+UIZq6z2G1IvoeMYq(kST6Dt zYoo>#Z8GrHlV4!Ux=z@!-SZ>;z>1l}1E2+gHic~KB{8tCEpLW7 z%DwOi=)47w_~%@ydyj~25|=YUl!MBxRoP?@{a#i@Fbqqbr=IK_81+q!I*Szy@Kg$u z!y8qms%G|hWDQ<5A;!rg>F+iutRU|$Y_-HNN@P5otSfLmz?Q(oo{}dC1}GqjY6Dl- zNdLfp+#mEingeFOv>?HLX{m(ZhKhMnukGl1 z=?H@~++r}2{%o;kIO^h&R#ltklVBrq^mj&k+v3Je8)IwS?_T5n1`SEz!}W7Tnl2X}H_HO~c*C8HV8o<1jpYSeO0%Lhb{swSuM(quj_toJ>A247@ z+%jz(F}P*>6Fp>LVme4;t*%m0e$sXYx{O)WrXb@3S^8 zV3y;m_c@lwJ>AzE;=@D_rI1VL0$rq(ZZ4pIH8q$obvnfSw^2U1)xVo>PPb0$*Lj*F zHBMK+8cxA`gcUId9r~QB)i+lQI(fzYYqjI$R!W9OywDzNd7p`)n?^V}0rzNyK-Eb( z)MbFE9Uq};g@CS!zOb2e5_BsVM|%XTZ`n88DGB#18J-dPfET7r5dS7q)eL|91& zSQskl5!GAtJGQJn;hYG2vUwL@qY#5y+yLvRma*$RnyGWqnIwN1Zf4hyR!tYYh(^)snKguO+0#(jvj5+(Yg+WT3XjJ(}Uwj>A~^i^dKwv zooKSOmd2kvO5;x+r}16plWFDUcqfX*nNyP zAM8HTRB0OCgW;nzb-3~H)~y$fqplmh|0s>#4>r2PY^c8Y`ctW@=TX-9gTwEswU4q; zA3V}R?e0)5d(6S3tk4IKv_kJeJNGmLzPIX`CO^u$d~otzjJ9dxqpZLOr}wi_++oyh zI((EB_Hg&H%!x|?knPEtNm2+~>MA6OJ8gfICHHXnT^SMwD1u&T_1>ejdha{j)9Ty) zDEr0X{&(BCBp28`@7M* zbq3;iVMU(LJE-x9Xg6!t7-7pAMIM6Eu!N1DSV4Xq4~T%oieQ-pBx@*2uz=RpsqhHh zt^V;a`Y<{=RsVCm3;#NVo#gm%V6-j*0zA*dl2Gh&lA(L+TQZc=JZmOWw+E!O>;e(% zaCHZPAm;mkARTaiIQ|rp-6>tsow$soVvlx%*!QRA+;s(zPv&9Jx9U;>*NQKyd6fV~ z#NO_%4mFpv{6+>su+hBE;y8>~6|V}?V=9aGqn=~FE&xi1+<5CH=sK9kt%@Bwt5#}B zn#RRQeei8C73#93X%3QDNtz_&o3L{qX_%$1T1(Vs1yak<;e0-Ug;UeyRPxoG8<9Xl z-x?gOt;*Nog(75e)}MK}f2dkP|LqTVcRw&`f(1E;?ZDyp%NJPL#zqLR^r(c)`^pe_ zF*P;wen826IcY;_OozwaSg))KHxyRB)g{Q{LS^i^wa^Rli62xro`r0y!Phw)OuD=P zims!Ct5;H^%2`m!wRCk{OJAB+lK2Wv^t1J9mKVe5hY|ftS*(4@7sUzM6Cv^4w-F`$ z5(P7*xjW6=x^0cM$N@bYe-e+cwxUnh1=6Tr#JB0>emb%Qzlu{->

          K%2<$%+yoS2 zI}5~OnjcBO3i7f>jac;^{5ck`nI|kB17b|+xIU#_+zN@?Su!VlB|g=<_V|n_8Xs!- zFOV?-rjOCzwR+%Kg?U$y5|A1iB#a~4aJO0<3L;nGkc8?7gijZQ6S+)8#*<(0Bp@`W1@2*M~vQl5*6|o2!_$bGgH636$)cttGf=x@-y@&?6x{BVPKc9;v zc1}Ya1zmxn+1#<&Oqd-;2-Xn>Sz6T4g4rp85JCK$JLD8QbcncLHjpB!-4?l!)vTPY zi^*Ikj@`cncPE4j=P3LlUJe)|U!6XBthEvu7>o&|YuS^KAe5sm7!newY(_Xdr^-L#f8Hh$%Wc!0>gNYh}az#?hll6Gj=?&h4>u$t$ zm71gf^^<#&VKaHD)EIp{`fJa|tl_;rBHnAl($~{Ce>V)*f&M=pr}g*Tf9EJKvP{ew z-lwZhHCuIH6dZo)uFTXmz%)O##&A)Gop$=la6&3!jzq7FiRq_(ikWt`%~*(`|1?Ue_i4 z!y7@j-Yl+L^6U#tvzape5e4bjUa_t$fZg@x(=x&6R;yp1_&V)Wu(BZ?y|;UI)6r;u z{eDMzKz@yTySpdbyQk_DlmV3g^?EubC{kBArPTiOuy2>is93|{Yj4j}0j!5eTAo30 z+pY2}&4aue+Kb-5Nwbd-m1s_QVNfK?<3X*X92OMH?x_Jr8YUG(rWXzOAfIQr+obCE zg~q>;%9_!1cUG^es9*aER#EM1t|=tiS5t|;H7KIjTuVShuci{dvq|6XXZ6~4LamMr z5|dcCfZc|21&7B6N5iUET~MeF=PjgYZEIyZZ|3d;aCS%nb^koBwS;U89(QB>ign8D zC@!xO5^kVp+Eq1hy>K-PVQHXcL^bs?0hTHxp#bqP-$C`YYU|H6f%ez1cbNx%4u8>8 zHE+f%o4+*ZNuzX)>@f=tS}$_PZi6|T-(-%P96j|bu_Kz{VDjOr3d}j8Us2!M2{YOV z!)F;B^x|bcPu1Xk_S(3h=JUk5woKqFafJfc8A`1{>uiINO|OIlI`zJ}w|D=rgJXX? zb7AaaSG7>~Ha_KzSdmBemhx-TmG7>ZHe!?q27v zSD7Ya;|EJKp@|gcUg)S-y%p&QLEs#IZ?)&J?&aHNk>)x&JjUgtPc)sn)SljPQ0P4G zAM6|+9Jh1g-9x)s4!@I~@VD3>QdX28L_pFQE|#UYNAdj<>ClS!rm~CavYfrk=&GuJ zz*E&-3^p+&?CQys@?%U+-crBNR`f1jQgG((51+^*1X|m|3tW*E2Qwg< ztmjG1Y2kTbbE2ayWX^ae+iqtBdvo|uV1qqPn}mK9FO^Y$f_mLXh2*78){IFR{1L5v zZ=4>%v=5c|5G&r-I@;J`Z`>)}!tE-j2^xH3o#(*WN|{`%IQlfc5gLPgkYBb>dR%{i z6PH7}P~yir)NZG*$K=Oh{Ow5J%IrXWiXrgTa?q=Cb#Nc`JmJV>nv}+X6Z9NuDZ|Z} zQwOK=aZ>%BwoItWp425HqsItp4#fSRyJg*-lrW;WhPV*U6B%Nwn9W?3)^j8U< zDBs1H;TrY#P6oZfk1Wzd>wAS#J%OQIFNqbSV6!fTj0Cqg=8nexOks5Zmeu(j4?BCi zj^k6<7@M^(U~{<5(>FA>u840Ju(@6)bD-|(8*FZk!SdFiFE?{DqDS~9E&xx9kaX>G z+&|hqs=6F!hJ?$vWc1e~T#xoZfG0J|@7*Gvc7cGgzD6|UClE%>I2RnZIq1X}V6o5{ zx?N?JjsX>fO#$+QMT+QbYw^hXumKyuSJQaK{GelmU3I+9}sH}C;i(#(3Q$J60D6qbpCj^xEKHCd&HiU#e(~;f&_ePciby5# z-qx3A*gC(+=dAIKmxAn$x=fdyz;b^w=R!hqn(DO4pjW7GysE_=aq()CPD?gU^fSH; znP`T8Cc?P9?{2m;Tt7u_W&+-qtOQz(0b`~NzRjdQuSOR+O4R((N3Nv6$T&Ugc#r-( zAv>F`^*DM?zLKwIc?8tHxfQ7DWW0w=0Q$xEtG@(;IK!3s1s!-|(9tmFuUgQyqAzBt zrU;~`jY~S2r$`ykCoMhMWs^-==g()OEq(N7WS+mM7R;L`|L zg5FZKG0-#_tqrolslJmImJd}DXUCtb|5I!Bt5@oOoP-Yq%TyUzBtqJ`>0ASLe%VL6Rb<^~7HW+m~_l<<7+pef3-RtD?v# zE(Mjn(4*v8;j&@!e$s3Vzh|pjD__~ql+Grgn%6kj`AN%Ds9W10jAK?H5=U%Zg-k7h zu)Q64sfcGyX0uRfvMQMNd`ZI=7qUII1O@CWDYt2}1QhAOLyY?Qb`a(+rkH1XoGvlarUQJs$kx}2U z&hXHY;Eh$PK%!nVo7;c#q~S#6!Bb=VS!h>dti3XbdT%*kwb0zk5MeXr?K`#N4>t~) z1&?2EJ-4OPJZB2I2N~WDjev-5g==V6T&6-lFv?fpqP`(Ac75X7!t>sbgH3x@d7#h^Gq#)kOxM4zpjBMA1G+5G4G$uhylbhg_4ebI@%2oVqD8g{Dc!6mSPr~>BEpj5cv$~AFeH==00 zW!q!vGXpkMX98e?LyjE$KCbcm02&7OL>gkmtUxkuP~QV`rqgnvA1Rv&|Ai~&wR6Pb zKy90U#qnKG)oK)rBE1I1>OPz!1~x6G<#x#+jz^H4=mmSNG}MCMp0px*oSYz$L{9sv(G+i`#2Zv@agWZP0tfiN|DLR*`Wq{;H99#8Un=x zJU2&=Q~FW3^y9}V{Wx6u$>WrM5-xqX`#8m8Iid20k5v9JQ2yO-hpigV32KZRIDDX& zXoVR&Z8jdn2-V*=d9KgTkCzK%q5?HpFnc@0BNPV^(Te(H81r2J!N$Et7ZQgBpIwzWO7FXC){ z86%jwaCDgvuIHcLtxxr~C_uYtcTc-jlWdyW^nK&SqRZSs*%EGGr9qRlLyuiGN0&L*pbaPPZsx5dvesW{0#Q`so8njB zNDUyN)BoptK8)T6R|MGMJ(OazEgnW&_;7kRz*UP7f=CTC$EOJYHmwh8d;9;wmchS1i)ULLrc zaMQ}d9@`X5J6Nw?UPR~XrSn0lHwJ2D4mioOc3`A2TNgf(6LhbZ>ZJv%`SK$A9DaP9 zssQU9kK@Z~J?EdlK0iA@d+`XB$c^#;ssugeS2bua$s|JzmCQ$ z?!;)ss54W1tNwoxB}H62*=gtIMdFot#O%!K*+6y(XFQITIZcOW5O0H{H10ZR=GGcg z$t1ppC`F3@9hiuqZLnFFp_L-)DYHzR))HY()K?n~A~Rfm7fmb%qNK>x!F{u^m4YI` zxcBj=%XNHGd8+cE(h?@H#NZ{r8$A$bf!~{{5cDEd zUnv{mFW|SqtUL9&?w_fFKxJa)9TMc!mV0P;dU_I_m2lrDM(oUFmpFzOEAWg#Y}Cr) zayj>s{~`FTx^Z|ERxS}Yz>#E{>_i_c11UvRH-@j2#m@Y|@#Gq|)*chWB0uyN3Cb;G z;*pniGM=sH;NFSmm>9HY5+3G$!ULL!J-&(2>u3j1XMj^gEgME7quLvJhwctJi)e8G z%SrTDAXmLELa&@Yv8o48!eo&)w8H%S9X6q%`tP*ryZ`&iV{jtAKL70E5s4A;`_NLG zp?LcP@)3m1)|D!;!fg0ZuEbVxL&Q;;yO_p|WI3clfG@x+zG-3{P0$mWT+}tGB>v_IKXfJaZzvz;w@aaFR~~ zh#R5!%;po<)MhlD0+R3a1dta_4);$p(7xg#x7B$|=0tSEuGflUS3BhF33gGYB(;0= zY9Et{Yx=~v7}F*ATfNr*_dOX-brYg$MFtU@D_(QHUd?Wj62h*%3#riqnCd5!G3%JUU$jkG(7=a-TEKCqM2YOV2t~RbOQ+i9|?*27Hei02r zg9z!Vqx?1+-@*_~(_(J9fqCtshj*egGb2$j*%1&h&rk{284!C{kFp4;Dr4^<4cL2x z2JAni0sD{8fP;rL;NTG&aQKi096q1{cSqkR^69M%02=E5dj!AQ=Vj0%1)19ZBxw-@z~kIeX- zis9Ll!*hHT9G);rsyS#5Ww ztf0*n}<%rE!xlj)7G}tDxDN5BHQ9r)0X=Q%9agU+cH%bkz~`a zS3W*k%}^hf4lVs(4eY7qS8Me(T&CPHbQ|#bT)_7sl>%YUMkhr^)pRxQ){CXNwU!^a za#zH88K;{}lFCP%Ys}tT3-XkWy9?N0Q3w zA$PqR-NHGp|FM2qG;S0hPdc-3f?v%)m~ zX|DzL-P>+D)BRUZSlu2olp@z3W(D6xF*8=-Oek)I(&|E9hAaE zCT>zKiJ85_lH21;t=(bo{`>bjAz_^5znRF-+Ym#Uj+)-e-4yfrt=bDI(+Ro5?!QYq z&2^_qjkvhl_!7uQQ6Et>*p2dE*qQN)m#IR>hHHB)^ey^RH9U;Nt6uHhxQ4&F&7x5(T5#?o;E|Y0* zlT6nd`ZbRYjoaK~O#x#JG7Ve!A?c=JcYwPGo~glq)-#@-(1@5aHXe;Qinv3l>4S%juv?$pX95!n{7VGhqZ#&11!z}EUscxcI-O7Wto1rBXV=Pb zs%4{9-AA73$wZz5@GQ5S-IkO_vzFutev`wN zfhHUbl?FJ|iQ}+}n`a?h{qEfQLNRmq2xVmtc6Uz2SN1`^*oxFCdg>eI3sO1(y0w$5Rwu@9r?%%Q{7Ki&{djH2KAzD+NS6_ z-dZ!YzPyMg>P5ka+W$>hc>did74}3)UFe>Rhxq!aLHPTiZNMJFo7h^mPL<8{9C~j|TbhL@6vJ2EuC1m*A3772L$IG4#gp=NNM(z=DFmrfPyt zbdoWu!CHVft~5H`yvXO`@NlWt49$+xtkXwu6OZ^Y)OQ(ec>U~*%qxuA=z(h~fK>=o z!{+Oe6TA@2j^;N9p{qF_)g(omRPs9dHL=>6vrZ5Vw9XLd;8@>}-o+WO4Y1jE4=hQG zz@(Juy&_-N-&d#dBlib-AZVzM@eSsuMNU#iBpD+~Ca)#tVOK|4*20C9>V{Bo>^YsezXO)2iu%uby zJROOrotBR(E$74iMopI`jw>Z93$S=Vfs^Xsf+;uKu*AFntXtZxK=iiyPX*C=$bDq* zsIzE9AnhnZXA+^dGvYa=u(SLH{l_4 zb=sN#rpA4*i3ijbT^W&osteqbS-Px`MtTmOVY%vI+8;#qO+#Rf-MHUx)kF8|H&nM_ zzoD{6?DyU8;0)%R)Nqc3nl@Qlw%ce@F-M(ynM`&K|K46Nd6Zkfl^}$sBDBak;wFgJ zNaMyG5Jna5IkY0Ii_6#|c&#@aPImkw<#l_uYCWBjbt0<03I=-|7s|Hm;KJ6*0<)am z@lg6SPBZnnzg5P$s_E6bT-nrVY)joa0WWE5A2-i3St0HRd+o%5!FlmSe?=pcADB>D#wFFame6f^DzW~*tEp`g4ePY?H}~2&Lm|+;szbmmUy*eiDTta{+H47=RHXQvUdd7 zoM`WeoL0{@yZ_$NYBp%3@iX-kC~KbM0e>4|ZN5k4bpL2)cTmw6a{MKJ=vbF8{j{!> z-$$6bj#?*hQjC|ltHT>G{G@C3DbDBUNmb(*7bdP0Bq_J&Fw;3c#;EfVxk#K3mAF5d zfe=1X}b*b%8DbTkkDo*w*oGD(@*%7n8o)@t0) zaTa4DBF!XB6c~XeLDhe&@}{DEa`3!RRH4)ER$wBs0LMmcW_6f21`wm z6~NqetW;8DFxe2Es=ryu%?q`c)9Yv$mE7VLjt=Wsaw-h`IUI96V2$fvMo~i8)!|J-c*uE1>~rHJz{_>1 zY)J@b&EsWj@wCi{C!}RsQ@##J)GJboD)bq?r7W1WC}L_i{Ge$j?t{|e#efq6^00y? zIs(Ys!)vSS@jT5k6(5 zR@4xrTYG8_{+ahfWbic{@M^k!lH|oSjq91;El>W~-;jD!epoG5!(GBBdkhLyGD^V? z|H8-W>P3gt4`%s%LSmtY7aq)c_PVR#+18<%N0q5Ctmc9q-6&E7Vn~(B1R?y-Hz0$z zc<4Gvtv!1XVLD3Kd3^6am%2;sUKuDom!TQr2ti>Vq79BIxP}gTyxU_HGA*D>B_=rg z^zaPytdPRjzDhI^q_VloW~#`j{{bw=f93s0N*Ha!(lkii>u`?Y zdheEe>S!$nb5N_ITaF%{7QOG^d^CrzQt&jcQ4)vSCDrN)KT4(Dl>EPza+Hy_b&a0N6F5dyGE=;8`dMv105@PrXvL+Sw{iE4)Y z)n?dy=%{Sd$Na&wfL$M~3y!J8N=rDaJj`Nd^!9GQsq6?e*~52(=4h2D#qO7Z@?i}z z_ju2K03Rbf_Z8c=b{nkA&LXglzcT2}5yIh}_Rl|jzm-q#CK;(0P1vm!yH=pCmud?9 z1pS?JbfS!^0#pY3hsRJnc-Bj0>3YC;n#b!5xEh=1gsYG<1q0UcSIKLbfHJ-{pA^@| z=$Cv+hDuYQj<5}mH05}fry{573^##iY|jV>&LmmI>AbZ3jWwQ5;N?pvJ>&RQb*v%B zVx{x`NLF2QuOx+9Zh?_Ik&p%0=>d2L;7@%IceA(7uCn|l>q$F8P0ILMH4nXU!l&d` zvW!!a9#9ff09+JxcyG#csC#oB?Wy^#S6Dp8ZPP*F$(v&5HtrU)kCf~24EHKv!y-Xo z>t`g9Qr&+uDcc(0-{aSBzfSc^C6?{Wi|4#&AXpupuWr$@O#hzNg75xOQYf$?a(y;1 zkzBQ`Z;8_+Z{id(fwip{2wu9#V=M#r9fLSlYx#{f7@U=<8_f6+o%Yd>qeG+y0RW$s z5NZlr2>1QUwyYY$sCJ1y8Nq%rBWBO*bc_O*ImmYdXMl7MuB5knm5gUP+8+FDS66w| zU*d{YYIE9Ql=E`AM!*1uDv|6GlDKxn{IVxI^oArb(t$)eiz$@@{F@|sn*%nFDFI#w89ZjKLwMdaE<<7mKIx%Ic_@Do+Mu3DX2(j>{RY4>bwfjs@!EpjD#e z|15qE#=n0X7n!E-BQix_gos%EY(_QRh2NuiSckUcVm4;saTi}q3T#XCp*qf?LzrQs z_5A8qhbN(U3iR0$in4DZ{IVX{bI`3xVjg42cM9%|FMqlfy-seT-%jFr4A@vGP|!B$fi5fl zB7a|SvUgQ&LV5!#=LRmKkD}r3ZZx%dx!Dx9?n@e#G}FLzFkkRa;9hLlm0Wh-gIzex z9GvXdi+lu%XVSQMN!Qg1q6~(cWf~wsqiN;by5)NNT82gyE8~F?{9V`9P?OYW@<;DK zoWtEq@`F@|TJ(Q`-X*-p8mZ*!ZH6vrL%pt0UcS*pVy=Vc0$2G`u+Df56e7puhQ3Te z$BUi8hDbn_U=Chodv(Lz2iG^;?OGwY`vd&zP80yvZ~@E5*CO#C<-ih0Z1Aq)>nW9G zQhwDV7&Z4RfR7YMAYj*fv=h2u8X3Q2y83{kIfx)~F%~+F0qE(G02!HW=u>bV^fiW_ z7oQ=29I_DV(6i(Q5y+BS5Go!`!c-xLfU<#4dWEOzkjpW)?gFCi3DILf1}6jvDCXun zPOR5s;vQ=`GUgq&rQD?FUR8Eu7CsrXhyx#s;s{O5%29mPa1gJrR`@d|H;}79Aic5N zF9Uy)aCn!m`+q}!*Cm*Ql)3SuIwy6eWTMQRc_L&RT7lLeI+5iB+A=B>I)0=3%$6(g}PVX z)_xp}dFA8cs}CF;JNdt$X&*x_kRu=FQ+U`=>jBwpo_6UU17WiC$_8v_a?oRcgiqJZk@(}0X>DU zoPIOwr|Yz1$5$mvsdJ5NRyU_(_Q#8XQx9KHGhw`e0bb{l2j^R=Qz*xrL&--K;0bpM zzuBZr;pKfCp@U=qQ+A35N3Nr8vOZvd{6z zhDVxk!JiIKgp)?05MLr3g;Z>YAif_xC82nk=>RlIewOW}{WQ98EQeDxlJp+C0 z0)1EbZENpZ4nIosU%i z-M`2*d>;Lwo?_}qOMtL`?h`4#0|nSgIwqRB5V=)2=%=o#1z#Or9aRb<8T9xm?X9;~ z0;NsRFL10!Nnl7>X|B%P_Mpnjn{-jG(^Yd_`Ywn4i0K5{>j0Ys4;lGQ)?AOg^L}-) zbEV?N;p&W%Ri$uca|l`TVDWeVMukqTnLG`KZK3T5Q=8G!epEU&AM0|?K?XeV_TK`H z&h|^n7678Pb7hVV)aq)ain4g3R^jur*MpuzrDjibjXY}7h#j7u9z_>G@L5Ek6Stqw zZ*OVUZ22vmY8%#IDb{QaE&OU5)=-b$xHr|>CM~%8bMO0y*eb!F;|qP3%%?yFz_at? zHAM0e^?#A8O3x`bAK6|SCTEDYM6le#+$_UcTS);^6vl{oTwM7DuX#)r(9ZmjXVYdC zp2fQ4px45DueveD@}_oIDzD22C8P7Uz?U)~00j}$0)#@)nDZi;Kz0HOu)yGsm679+ z2n(SqE(SRy7WOh0Xw;T0WCM!=J|aA{n3If4aFQi+I6f*%JWhe;DEeVEA3)IhHU034 zeo);){v~VzN~C8K9;c*W42Ypnfk7$K(HbicB*$q->o}>pkHegqJjmVoG9^nqXJ}>< z!JB#asW~P`eR0Mfh}?Gk(F_~mBK;$|rMcQWf{$*JEWvw|8KkL+?Reila+uzEGRk z)VhhqL5(R`_=Y}I=FDGB9F$&~*{I|{ z;AiR+kLP*x3?CD?Q}I78E3bSvgq?PKViP%p9$bgT}JKJ54aJx3vl;n(eg z>4dizw!j}f@v~_#+aWKUEEutwew1?S%UJw)n@1c5)LkV$+&}b(hK^&Veg0hOLLW$jA|l`9XFl9t%q+A z%78&`O8#@O#rQ@10#!?B7_*!|Numb-hLQ^I{%xGnS8?_(g%%q35nhqGwvG{rb9t67 zHS-O(_IK7tmq+9?>#f!AdC!fVe69^g)OaVQUreD}W5Te9vRaJtdDQPsCY%6V5_hHd zePBJ&WTHOwLlbcT?nv6AE>umo5Kuy4OyRw*I{7&FFLl#@E9}1zxxI>S;&UQe+jX2K6S)Io4xT<{b+M=i_WThrDMi1zZYhWfor9J24d# z99q_kqfI}6F_K5*L9VS<;L%vhQB`m%$eS@9>-Nk_J>Ku1l86IawO5QC9U11)Q+V@_Y}^QAzlTp;S*5anshgjW+#7HOr?(d<|}QDqXuy0ngG5twKUaAFkt4K6RiFEh}{DH5jXh)YA>2q|=ulP!SMR z8q9(0l*n1`)+J?~i_1WqI~H&0l{T(_fXS&Ql#Mux>LVz>tq*s1PWDka7yn@Z z4Y-@iU^Rz+Kd#vR&jS`eypkd{iBI>i z_j533PC9VCI#zx#$*|4b@17@5PWbP^><{OAZICW6W_*D~~V`Qb5= z2SiL%Zu7V|PZf8V*a&i2*oh>-i;zXO1S>Yz9#eq^-?HhFHZ7c-kOZ#ODdastupSgW z5#53mymYk|YzBT_xIqZ5L_pi6igO{Dz=Dr7@|7U11Q+U0{A2Y2jn>6eNnIZhh#6*vKXO_CBz&$W2@hK_(3?&o1Ic0O-i#p zcVHXe+|cA|Dr`;_Ytuzs`*tU$O?U<;y0X|VR2B->Uoj}r#YIq;5Qf_l62-+R|Hgx3 zx0{CU0WZ+CTD-Io1;7GKZUDV(3WlQUs$3BM8(R09G%UC!uRndM^#kaO6S#=#-?4cJ=oNqgWrA?eL0F?7@~mA`xyFs{T2(G?^BhF@VV_0elA-0-~1G zoG0iJeXpTh`<`Uu>&4Fri=`8>d#(n0-w`YC)yk!%M&V2lr>CV=KG%Y2o&u10dS$j0 zHkpO`{BSSopYG~Uw_Qu#s>pR7v4D>JPeEc&;s%R&{tcxXD_CotVvx8hk~m#`EMKA#wlkbRWfl@BW0n1yo#Hvo4ARcXwzY zxD(vnA-Fp@?h<%p|NESC?|XOL*NoBKYmTaK)~xz!_E?Lx zssbNA-+a0i`Ltlu&2zHwRT;6~L-^dz8-qvTH-jg;vPBq6(!OEEdCi~_aw6D`YXh8f76JR0&>bKkBaPiTyU{n`5amUNK^EaKPf z9&n?$-BtckZefBAXVH(dw>2&Xhi!HnUns{+c0F*cu2B?JHM|ZBdj)(c|*#o(+TI zmJNb#?>88ke+ZEN6f4M^y9F8&MWwxY@~9<6g9pSzhiBw!h`d4jFjVljQ&9QZW13SN zG!j|*$@7VWwwFOAW9+zkFfwvm&8FHlW-YcD4OICZ!>6ZOw(A@!-2(F)pDG&iUt$}4<&tzq2T^Dw0=#*yHe zWS|!^1Y~+8#Z?3J0)z^hc<+kAh%7;dl4+{l-XD zddua^8bFB8(Kl%m+uWsbWrGJt=2F`;a^uyVZ~EVxYO3kS$3pv-&on92p=m-!P?Ig=FY`DC|v&V1)en(X*#~WTbu!2lkk`q_3H!p0m=SSd9;|VUa-WvmWMxgwHP??&^;1RA)5xbfH z@lefXfQ-gwQ$!{Doq(*_P){$`kJ^=IpNGkIgJ^Kg2j9lb+`uqXMdX6qhLQ*LP(%0` z+O=XUFgG#55adVYBWm%~^izlinZ<*{n00{82=8UlsNp=ej}DoeHyQ#JMz*g%(dZ2w z5s5?>r-OIYJ9qVqy!=kwhV<51nh+AFyn9`L7UBJ?1NX+k{aQ=o-RJuK2bni-5JBC0 zpZWrwrQ6L>$I@0xGkzKKk!m1@HqHqtLYH0spHs@%g{}nu7s@Q;v~3OhLL$%KH4JIz z!NsI_gF&`}NG+}JZT0uSTEr5LvV}@`*6WGBRp=qO|2!zt!EXHy@x^Rp0w}dIFD8RN|Ysp10~-l z^z!W@Ce}baU4U>HT9%>VAT6DAmCK_+lzDzz$@J;P?c2rlH@S+mm3!mSt%+=JeZFYV zFVBGK4Pygyrb25A{bdoh)6NrXn{mz`%BYF+kAbq0`PZ>>mBxGIP;$)9vc?IzzXicN z3QQrgJ}#z6N7Ua#%#xeZgoXF$q-@a9O$@bm3hM%`wz z^z=7N2pl+rGxjk4z*e@bR`9r7tIXV}lJuhGPF}oCX?+Jat4~NNzMy(bCZH|_dqolg zSwiFKdF^wC+MG8N zms7Egz^b&^1E;+Vf8;~1 zbkpGYSi0|)9-|CeonkG~S>(*}=gZhEc?di3l+lzGjbq1tBbFGC8(nh$Oy|L#elhqB zF=iVi5&TO=NhSfy%5F!pI&x>`mr~Lm2eHGBBcC*O$?k3cNk3tA zNiAy(O)m`2%~z(0iJ+>ijHke|;Q{8otdy+@|K+ej4?H;D-q*b^#9~}~Tg+r%ddnln zGn=4)I+t;CsU~B|SvqHVq==r>CJdST#E;`s-0)>6YZ_|hhu!uyoVZb_zTWQg;c%(Kq;k}Q0Xz%Jf~O;g^KZ20 z5XJ`U!fuv>P??408=&=~J$)vo%PXtEHP%FRx2n}GW6a2A(y8L}>b8{*QY*nENT2H_ zqRtA6kG@$c9Umk}Od9|ml5WGE*rw2HdwJ#f)rZ_%w8j*n=rL&{eo72<8``=Uu!Jt6 zcO!~+9N^P`T<1AxOTrcQVC2v19*rt(=n)OajQD8&5e999J;?+Py?ja^gb~6uB5#_= zRTx)siLG9<*7x(oqS)qT56WyM_D}1tquAn6IL8 z&aX|Ha$hYXP3<9$|GSb~VZ&u)#^s%&^Q zgvf2<00!FOB(jZ)jXyK(7-zXUQ&Rp2hIdw797-!*9f?V==*~Q`amAlIsPFcck;Mdj z{;CKKWAxRkFhSK7jyHKV0LT5<2T7CZyF7tVU3fTgM*&{PWhCsB!*g`_a3;%m+?M~Z zjc*$$LY99jRfvw&R_6(F6C(@}T8KZc4!Fde(|C@aH%tYeU88y=2N*%g?3R@_uC)B3 z^EnN8Pvfb39HRyW67q^mfJ(wvg^p@LGcx{ z{;gVn7ur{2bM(UFlE6154`)WCm&C1~Uja!=V+~wc<@EU~4%ZTowETLik7bA@Oxx^W zk^eyhMMx#wQN{Ezo`>ee$v)y}h(G7O#)45Qs zxL>|Q)ix&gD0k2+L3$J}>y#9trZ4;^Z7TwHK7mV1CMAOHT)D>V4+~o)VB-7p6IB#Y z&X8T`4KfpF2h4htCX#@tw)U2&FOY#mO+o^bzq5fZeh3-Or5H`NL%Q6cGbo5sVKJXs zXHvWEh%0g)&B*)IrqWEjJ~%zFpBhgT<*Hik5b2(+X5i}FVeup&@URqlE|r3F0=44$ zH3GnDr(DL-(jkBIaYb~|G1)6qwE_8u67b{ZPNiQZOA?_;N?nsZh12D=gH_j+w3#j< zA%?EQw`iIjc)8oO4qKTkx&z}&89JXnTTpa;IejKofq&hq#>&gKFU01T9$*s-)tk>X z5aca|wJqW?#Go56{GtkpPG)yZwDWNT@y)&AKFuRiXzPoSt;P4Ggyx>Xv*#&F;^GZ- z#G|*577h$pIjgiR=u`6Zm{ukCp{)uOA_vXoF>w>M-(n4c#K?T;cXqTB_l2-&_qNre zxZidz&mjJI7Op@r+1T4ZJW|7^8w97#x24eqO!fJ?JzQwSC#DEPWpIg=Oc{$2m(O9l zSEV}!5>hU3RMC%0fl|si z*y;$X=Q%4FMlzGQcBBIoKkf%NBZ$jhb=2I=-J@);^$=bv%J66RoelcW(%~pT%~REX zQWOh|6key!XMqkj$29O8_sU8oaL*Q+m${+j16MEVCqIOfuD1HVGhg}(2PcEJdf;Z- z)9Aa>+(%{p@)s!H(%+q*Nasl1TGteA_CUaM;>bNn4 zyWQ-vnZx1%vAD?<-z~~E*eVQ~68sC=mDT&Pz8$uACx6#sX)VzAXC4+)ts*10#G0bgWZi$UfJfeaA1GCY|Bw<2RXYQT{zE+w9-*sg zzga6;dw6tb1C6xfXK3kXVbYPP?NzcYV!6hZjmYOj+y0^|l)O9>zmQBqt%`fFM}*CA z1hBjS>q`SJc6R9BKB*OcF50oD@Yzv6bfw9Yg+NWhNkOfhN=CnVHChFJqnO6jv%0=R z&;%;3?x##MA+D2j3;S4hpLCI6BE@<=7;Q3s|D>mlVzkNunyE5oce-Scw{-)o;2S?CAB|t;!oMFf(vZmko0l18wk+XdB-u>s>%!>x@3Zx zX7YjlMVeuAJBl)wInZCfod=oiuxflfuYu_=r5n-IIt<_;I!6=?v&&_vBS8J5)QKxb z#ruoow#?Kjt!xgNL4)-YZ@j%JyyI6^N#cN6!oV)XL7WE$jx-B|+xwF(xGjO`i$PCm zSlCXSr2f0iJQ=&F8LrB~$z>YLSdv~^Ar~!_dbg~1$_duwT;wQ1`yD}W%_(jevO2I{ zLnIiq0r`3Q_)pqj3^q>t%%Au=)Fr!}=efh}$PJrPuq}LXKzb^=>x5_=I{9F3 zr}h^b)?pM_LwsxGqy(NV8j$9!^b*Ls;nHx$rh!|+`v7HEsYtHEdqxhka~}19o`k-7F|oip(v027{tA+8#9ebPkJCdo0^SIiqDi`6!=+QmCNJ$* zPhv1T#|tZsi=#vAf*!3$0GSX%GoK~~Sjcq7~L-W9>ta+o#V zlpno5fxWWXrPEJ08w)&`Cg3Z6Y3|T9ga2fHQ>}Ed;y!XUAwUX`A+N^}TH*w_HcSYM zJ>6|D3DPfgwe^h5sp`TG7>5XGJSEAQ!+cwn50iH4gie+2Y(FAHkI9D@^E z#x-H!qNn2_l@bW@aY9Jr-(jJxMoU%CDgbbNu&Eo)U(`V)qz*7-iRO4;v}%{Nl07lO zO$!E{QHeu*YhrezSIt2D?19Zj>kcHwjjE?6qoX`z#&A+NO1UAqJ2FZ#v{78Nd4= z;knadi#zbkJKc`Wm<(jVcohA?Ji_zZZBo3@erJ!23~v-qRpSO~UE=t>efnY~!WC>5 zBPDcoC}xOl*u9`yz7Ps7Y}BlLsg*fMyHTZI#t{;~LTkKb&#D}A;(WhajTQZ>0}5pa z>8L4k6hZ_*`WER^ES*Z8bY5~+cfSTc1W&NDVp%)iW0-Wp|DiJ4oXJ!U@A$FL`AMXK zbo!DeI_5fNk%S36#tNNjdY+7YNV7)ieqbFnw$l@tE{|@1klP!Po<@tClkt6DE*h74 z-Q=kveV%g~=v}~}ArsuBnDI^9D#z~`mRs~IKQgfkg7cO@uBST8|Nf(L(`%DF2b7T)F8;KW7QMxZ=|gRi@B; z@)_oenNBYAtxU_6t<_$x$o)7A;nB|W(xwp&Yuprfs1lPBi=SA8wUC++ z%uDx_5$3x#ft(BRMZS=BKES)gxVQ$a@=u(d{0n@G%Je-jcG}378y@g>6Va3+m%-_HiB2&Z*lR+D^ZFr?H5=?Svz zob+9|Kn=N;p5?)v?cP5qw(wNGd#Qwq75%K>;E>cJt?0$n{bNRC#`8`Se*=S3f3<)l z95h3IUVKzryP9ptu=~0F0F0FnmF$v5Ha2z@v^f6J$uvWk;d?=iX+`dvz^71{2Wgq0 zg>=G&DZDlU0a23ZcqXLSRw5Vghi)rgk=2*;%3Pj&gfnNjd&p{+Z>={j969iuA|I`g zhQ`jRt6jpphogo;s1hru4J)`m>gDG?%2^y&SiEel=%79jYh!WzJO+9LA6`MZZf#t%l#oo4## zn96Frq~hd;P2E>BcB9Wf@e@MX?oDWSP3-iEKAk4W&}aGY#ypj}Rwnxp>JIEnS)_2sDE#}I4y1oWZ-C>V;;4OQ zkwVVMB$us=!Q3~$`9m>p&<$+a771le$WSi#`%xk76s%zMU6DpV?!Iq_KbO9~czMrr z+L%AdijpL`H;W&bA#YB{91)5JU6>cI?H{2t%;u1hNCJEUn{4ffa<{ECT=H}Oj!lIq z2)1A(p)GEej+DiA6@qRg{)mWT9JT{Z(d{YlCcnk|>PkuVFj2}&aST>9zpU%_1Tl`L6+oWAh|Ng|UXJqr&g; z!d7p;rPE^}tBNyFM?4{34!pi4$Y-LpQI(WvUo2Ci)plwD(b2y{eh(1wpIk`G!rpah zDVcBG-E4%=_o#oW+yUt)G@GSy%3Wj&+o|DwlZm;_CL`%Fn*z7+hZ~RB<}lO$+S4() zFzXWTVzJv{Mue5SXY|Bo+7p10s7~*eW%=vAN_($-fA$pntAm|}ES6`(;wV;xw%zsf zZO2N&sj>zUg(x#+ON!3}3|DyOKA9$zU8H6&#V=)Y7bIg|-Ht=`cx1_x-XY@}-WXjt zLs;g?EJ}VEyIf@kC9o&(FH-9UKjB`;Fo$e&V#~X;s)v#r0;l-OE7ma!;;Dn#cQ1F7 zT!l5^tUp?0l7uRNeS!ihQ&Eu)(|u>$w?=?@LaC6)r#HG2$kmJlQwyjmYXm>B3&EKrrF(ws`|M_%55?JVpp$ukZW z8#sx{Uo;uCg_yh%%AYwJx^~y$c%X8PtCeaYCA?rCZ32%7P5BHRG&uJ zh!shCQm4~n$P2aN#svScVK5(8TZl@qu}bGl*+288Hg z)caL%>+*bbkrn(Jimt;tC>r4l{$MQ%AL!$iUFx%Y=n;UM^IgB(X(KHp!|bP@U$~`u z|21Ho@C%N(^{MjM=mDYgMP{8l+kDjPx*fG=zPw^~AT8;n-5=ZGCl;v&U>~))G@=0} ze-E{HYrfx?p*m5RrD5?tO_rZmffxyb=rsJe37m*NxJ#)$l&vEnY~b_7S6X()?HmWe z()X_jSKRA=h!n~lZ)w7ZQyT@Z!(kfe;ctE(2Ql^DO_4vbJ8a#GpgUj@uPW*4Q;85K+6*yTmk8X1M|wvVde@%N=QbM{n20i6D+%yIkv>pZ1j`8QVx1!Grt&m#1chX* z6)!5LTi5cN?ponjdlxsDJD{*IiHFdyjGdf!a=w(_UZuHd6c^ehto^}X7OaPH6EK`b z%IsTRjXfS9sw)19{++@*mQGh#YKKp2*>aTK-INmx0()Kz?7SSz(|@EXeNqCyq+<*a zSU)xAQG&+={pt6YC`Z+zKtCwl5bg6iACGtiSTl*YCs;;RuKGJEpvyOlyn$^9L{4OE z;nQ4MDj`0ueQgGlx%Cn7SHxd8wxE!Ye^kL6q0j-Abncc-&hZ&@;gt8UIn9{aCa%(> zm{vju=)z9sEBs!09oLFxy=mYrG6ik+lERm<++{PH5Rbe`9$<`7{T;}A!zxGz3*&B~ zd-Y=2iVo%zyjGY+PCL$`ye;pKy7VDseymDGZ>1(R8SdKXFr|EoftJL82psxG?m_I( zgWyVGPCxfB!p8`Up&G~<%OG35q_9km;C!ma>kSKQp~wrTphlWj9_W=9lMaqmSoWbkn| z3Av^;wdvB7806D^Rhengoa1J)xyvXD-xI~ap95co{7jP!MrZ{S$^zD$?b}<^^GyH< zy&TJBCFd1`-+p+-jAFW;Ub|3bF7V*D8o@S% zBCUAH{4IvWc8>Lw#kIZPNKVVF2TeZG-wh*xrbQKe_rIHsV|h& zwtG)=3uKQgYtqJ%ju;Ovf8*lXm}ZpT!w9VD$|Qt%Y+ks}JwM&DG#@C7^zKl02p!Ne zUYp0%^H6uT1q@u*spVBC{gzgWTz*K-wPdbjQj_?plg~~2vd#I&k0=-5Yc>dEYPb>N1*0JRUf{RTZ$uVIbHxRQbS7QMNP-{;e zVT81=yHL)LWowdHySMH!UC3Bm-HbGA$tJJN^5yyxr=KI&{32*L{W-DMfsm8~UAuwD zc>TyP&rFa`H?B{fnJ7AsNYRNutEx%UiR8F?b+_cJZGT%w8AeLPra=UjnCm55{l?J= zItV&NL*iyes@~8>o`DBuPivYb_m4{Qo)?YfLPu3P2E~_jUw)_W_yk8*GsejepZE?8 zekd13Xqk;`^qvlptO$MY7^Ly&`UTQK&fR#Pj6$-*A_W+a zlld7fn7kVC+w_hI=MVOmv)|nMI5ikH^`B*63+BcU2EJl0)-AV?_C4x3NDMYF(S!(@ z_;Dhyi#%AUgNRut*e6d4tAt_isdy@cQ#OYdVT69sI3g*u4uq-wGUZp@!M~>)zg)b0 zKAL|IFrx8ya^$;HKIv~wRBzKDcI>6g^EYiylg zIx9nx2jbnLhskgh!lU(5Vn3rbVmDSn8|+LIAT!kle^B+?ogeouRQ&zMqjMq zm$4dpms|daMt|`&JW!{ljgh23Zi~8+Fs6)FA>04wZzhA!qRyBe*jx)ejzca|N_ZA|c|Ul;yLbJAXPzrs?|ZM$48 zSmP27PWXScGiUlT@=lnO^hi3Pkb1(2JIn#L;G96*zC47U*~ilDOEY>;rbWPdEWftWk-bSLjlfJTi*` zu^ybM+6!TrbFG;MzaH(joo-KIv^ioaN=Y&2>r6i?Vw?3iyutU@@7Pyzg}SsrJ1nFs zgmsv2wQ8BACKzZL!>f=Var;>6lYH&|^z!@eP8OSyO^2Zpr?7@gLH1?1EI+tYrnT8& zL~nzvFzn_|CF*^zla$Hng`~mPJz>P_x`F18S%nx57upd&qAB^KRETdzdFu9v$JsASq*A8&RseJ~_#o_B zjXDmq(^ivGd!rk$Ofj&7aK1eSf9f0CHpNW=v!TIvnP^JUJFBu1nNS@i@|8sNNB7wY zI%$#QXcPkHudHU|i9MVh`bk~pB?%db{|<6@%^XfPa7mdG^<)5UyUiOGflj%c|RgsnrZG@`Yt#uv#0+Lf3MIP zOhVN{AVB?BK}8m{JWaB0c+X(RB7VVCGaE|da>9C3Tjbt>P5z+M*HtYfUJ(ec%-TNL zmwtCHU6ZxKOG4F4Xh0_R zZrSRO7Oq9FW)m+PRycgIIGAgr3z7#gmwZvQU5F{mHW>n>XiT)U4k=qJS!S-%cyRW? zu)O%Hr7u@Eo4&4bcjf+)mL1Rp6bPjZ>~)Tf>d^0yT6vH`ssrVzQPv1n9z+ z87_8_eD!7^bi8F2{uQkrYUZXQ>V-{*?Cznfu1K)yG@FiUn5hRI3&jS>{ z6IqYZtdq_9YF5~$@cletCB}9%4-4;>fM=Lk&+Z`Nyj+kO_t1DeRpVQopn!Mp+9sjv zn9Q&6cC6j?DgA=MD{kyL!H%`y&#f>P?xV%H1QXSgpCh84QO#13cSn(Va!cLtp|ZM& zi_<8C2dB#G)<`4B68UMDDF1SCy=oWC7z%vsan8YS(@y(XCF{+5R21lrjghIZ^`yq`|F!(A8# zyF$)gUvMlASJE+B^1zdgycvEs*jnd*e;W0vN`%A)jU|wzUw0^7=p%XMpi2XMn+KHG zd{}fzxN+l{>e!apzlbZWKy~#-lFWBO1jlIk{O)phd>am`F`a@)5P z>8SlycG3-s>7m@pFg0|}xAl(WGQ*8@rn4CRulXJBV)_xdhzM0qPI_E%!puxV@3CJQ zOjs)C%8V9=PfE2vFM8z>_`;S6Eu|c~h+%?EYTdwLWDXRK()&4_*VE0&1g22#obmeg%D|{ zAvk$z+vLcanmr=NmVi4#hC8v^NDfI~dv7S=yNc zKyLN`6MH*npot5}(iI5!E9^`UaBu=T1MNUSQ-F~(zzE=EWM>WpSlR(V7C?ZRy_2mG z2tcLv@d7Xa{(evasDX^;jPw91R%T|FkHL=*Rw^1sGI{`+siiZ>$5a&~b7{)25{ zX>I{PkMoPnT!+zE8BbhiID$d;fF$9}}%FK0j>OLw(& zwzRhc{3`;W1_9kc|B~rHOmQ*-eFXm>g8Yy8e+EC?YVY(9_5OkTZwynQiKXoam+V|@ zje$=8fpNAla{3R={s-lsvA^Uu`5UGWF8^J~U&HAzO~&ocgJ{dznMh!A7BGlBO4bW z;9vOv9DStFe=X*(ZT}IZ{|M24lH~8$KgRrLjjonJH=vUb6~QegzB*;#`A%Ke*Ce+l-{B=KLwe;r|G{Sm2;ox|D2 z9`w&7%0?eU4))HLpuf>{vjkcEyDu0!*&CUf7&(JJI;nr`G=CNThfx0un%zgz{{KMz zBl5w!|AG8Sa-gZp2ciC(qW=q`8xUyyk8K(sUp~}6wyXce#Q)Zy|HoPYl^v52)nD#g zn*2jJfZd0oMh*@(AIHWv9~;XzG&C?UFp@~vk9ROI2*|Z|gQ(9MEmR=eNk$RBPv}Q7 zRRLYU<;+-<^pe!(=k$7>`b@#}8tH)|xKL?&ReJE>*2o9B)s(BR8~mOnrAf zdspzg6SN8{(|2l*=o_Wt<)(;QTXen31lDj$Nl8hiv>|V`$A{QFBPV;03qZ^J7T+`X z>qYwwi8BfpcfT=Ox70}zC;fwVVjpmWJND+5wp=;2j;H*~J5hTi|MymZnzDqZfQ%7S z^+acz-xxRK3LhsEhQ?J%;z|{}Jow&d(RoZTFsyh6Vl=lYO;YyDyKsZqwuAs~20(1MKAsoN`t?vW~^+!C7OCwM`*#0ogx^QVST~<~1K& zu3H*#-jM}l3-B3ty@!z|c06hn%+d5>O7h!Svn$feBglB;G~$!@gMUAKbS7#l`^jWQ zJ(5uR`AcOO=jW%j_AwoF9|ak9`Zv0CEbGS#nhy0kni^0;UcY_x5l^|sw4wUv8*sTE zzJ5Ia0rUQ)tgP)iztyJch(%dl%If2C&EzXHsITUiSdY~fnmCIds)<#oj`wDFQu_0^ zv6Y{CR|l9W)=nDqv4GkasJb)s0AXpV!m(CJ5viR5!z z{MIif_B`9ix1)2q<<~zljxY9Wz-|XK*BLvwEfB8crS!kDEWArvU8&cR;i_+N!!q?Yi>tCYv&l8E}=tJ zTMhi!i~)De$C8_2Yb^ZI#e3aPXIMGzD{l+wN=|-y0fGK;O)`k!G1!DcDY6u_L8*9J zL(Re53JixdNbYyV_-KjSWvWh)x(`a9u8H14IJ`uNl(Q;6N!ps)LNvWN4lJ?V5M%)sKUeKBP$E%F`3b|4!9La8{dyp>pnZ{oiyidlS<`oG}cH_Ps3Eoc0%a8cj%=pK{W4y zuVC^hrIQ+7vp=gCS~S@sqTef_*@YgouS(p-?@c^j!(b^Vjr>ACZJlYV0z}S$D7eN| zjRFyMs>AeF)Fu0*RY^dle|j}x%vkcWbb|?mfNe#n=ye-Hf7~i)msHzyK1R;^BppH| z5TK4-HQ=P{8LTDX9qP#(bI@;7I`NA>I1qxeEJh{WQ9u3W(;H>*;lbCVTg~lw4A!?g zU=>8YK|6Zc%yNm_!x4w@mycrdjF%)OTHn?Uo<_-_`7P4Rgn%WAKrwE)gerVXy==P( zq1~W6@DL>srCXeSSr&T=l{enlujPo?dg~>FO#7(h83qF_&Xwzt=V$x9r0rSzyODX? zW;C7Kn9mJMninatKu7+?8*?_*CApkQOvCFff*MO>`CKp9rWJ{dAA8l!<_2sa7Zu$J z-|XZYP=;CZzDXq5pK#eFG(GzwPU9MN9Y>^>)gsLk_k4r9G^;c~OJqnc#?tw4Aoz*P z&G_-R74viiZ3<}>LM>kFmq>f%jv@49Y_|;p8v-Br1WODzUIzG9lPTa7 znIYRua55=Oe5lYnBnr&2e2vP@wD79T%z!-gi9GBrgvfIYZF5*QWP`A=wNbafXs z$hr4DE04A^(ebGX9H)K|hv6bt^m)^B3Jgw!-oeW?RudMwBj(K|Hn;hm!HmFpYpJ>k zczLkkZ)xC#(fasjfyXsx>+#_u4WSRYp33uBw>axx1|N}Mqg~(I{O0w*N^``_J#Xp^ z8l*hh^M5BsDcgU%47*-NoT#OYuCvdR%mI+w7Cb3nmD$ipoU0JZDw?hdwq z&%TULTJVN(+m4-EWy~L>!mxj|L(fL(0Y53sF)WpbA!3|C$JAzhIW8hf)Ml;di+wQd|~SAqm!YST1S^qZ-jl^{ntVBe2g8_ZOEUo zAf{(F`9dJN!F6pJPQZQ~78VJozXuf+pEu;3@sI!qF1hnYTk=XFz4pmcKZ}MRY5Y4LdHd_p5+w``)vwQ~1r7=fEG) zRDnl_IZU&97%gQ2&@lpa*1uCs7#5n&GwheFz@KR6jMw;Z0|Kypun3#}y7x$37 z#<;>1I98MKnhy)Y%=*L3-m_ z*6no2I!?t#zSkIfI^C|OFXo4PDaP-QR%)i#H#9|AM{?Hmfrl4@J9N3?M4H%M;e{NC zw3&J%a85$3*M5cSxta*7W5H!-_(qSRV6EjmT;G1XFYlhN5+ews$ZR2@xbPea;qi6Uj(^lY!FI7I z0q+^~)8I*(M6L}=aXxtxH8`i)pI0xdm_nYc3zj%%oBK89%FgOCxZR0ZCjnZX{;Gud z)wI~;;Yi7WcSkx`lx?_+%`}q)3y`;*VXoNfW_J&Q7wD-DM!Dp(Z7xMFvrVCUd^2sTeV@o+5pYUk?8D@`oyrG!X?{<$GMzf>EtZCB{ ze%MWh{=lq>#9x=-jsatp#%j~_xg#sCZAgb@VEohVQ5Mp=ST>~6%;|L`cbpad1~b}g zIg?>>n-aQ$&%m~D=ObEHPH|DDmJrhKWF&WC&gizG@eF5joFKGu=BPj0vZa1lI#ZAG zp!aWsArwiiCe00C7nX_ReNY>qBf4q-tSJERqWJ2pC$pZCd>6ng{M=h|Cyn_9T(tIZh#^;nd~v z8k_W$)LLZ@SGlYQOg~DH*&7ycv{$iY%O{(3OO2Jt!u@&HQ}mfFV^l;a-|h;QT?8C& zSI&N~+$3^&PR#K=8JKPF41sZd(0qD}csC(w+nkbleAfFCG^! z)eYmR{d`$C+Lok7doyoXGJwL#Ze<2#^k_E{=Qrx2?PQLvHbQKtywK^lG#eol7)yzD zy+Yhk*Ya_3#8Xc3d<7GNdUDHTh5`&zcY?`VC(j1MMkMr1l z;2vqrAnFP4$DAW%XY7VF&+;|3RZJ%3NzQj3A~fb&mo|p!g_Fc$Q(kFY@GL)jjq(Lj zyv4Bc1T%tGG96iYqR@wynvi+LBivjOvYF@fJK6y_0Hj|ha&sf?k2&g&0IirLr8J}wNpR0$Bjwlmd4?Kj%Id^& zXfY=*F#4AeOZwYwcZq3LR)m+Bb)?vBBTG%)vX^uXm|526EV$*M}adX#;qdxjDOLVi-mkc$RkvD;OS|^ zIpqw~O8b$WEk2p053AYL05mi%EH@GzEos=wUYO+|Za}i`dC-(kBdtNUP7HJy3c%mW z!OEjr%i5DfNuv9v)op!u&fjhs1kGJRBhwr;jWG4>1HvG*tj*un02da+utX9yaA5zv zA)Ql1JIOudiz+feLFU^K3s-Fs#78uuw6Pr7vEI$v=&L>Ia^B&x$!jzV|McS)WGtFv zzZe-Zj=XW-b~Gs^6^3fT4P#35lcI9{*kWeM=O#qLW>up>R_9Y^DbkC;#i6`!<7`L* zcD9~aZ26`rvX!GkV294a2>W;ra`0^~9&>7Ulkzw679)Lq8KY>iaYlfg1iS!MF{XOGMF@Cuv?H#-4GAPeod_Q{|^9GK&iichA_E< z2>)};{~`C&&A&ntH`$~WX#FNeU1uV5>m*AAeJ(e(q!Spwet}Wu%mY_sb%l zgC$(EiU4ynct+1*r@RpN@Y-1}dPYU}aD{8k*iWfthljHFUmVu*U zJbHHc$ulR~uR3`6-qBICQEq<52#W zSqI2KU*<27U&5}EFFo=<30!RYq-K%2-}gRJV>w1CLM^G;pc}|Fgwp}G7p`i{L>)Xo zd^E6IL`*s;Jk;h3{YqTNGJS{?M z4)i|Xvgeg=3R)I>by5~tP~isQUB)vE<|DMNR7%P(i&Y+d9`ABX9PZIe2Idt`RTj^8 zL3J~MeV8ChreMgSs6}`UpN(*s5(ETkV@A>2^E`!J-0v*IKKWMZwg0tl{-H)fOT(;e z1m&V3d)9ILW+>_K?osbsG@ve89a9hzfoQUBp-#qaT+R_s~++Td+Cn_dJlPF zL2>VEBS+4y!URa}k0%rMqu!VB-$b5m(|x=ySfL9K@mhx~2>=R$E1Qn`d{umy8BJ8T zhB6$QB4Eiu0DHrL$u|usvde-{FVUl5K(ScIs~C*bT&F_dXFZJCgQeybBpQ^=HU3s- z6%j(NISWwCjqU!^cMlw(~(LkD>Y1_yc!RRiE1KF!uaM^t3kR z1wj!F2iLqAu5n=uGX4X#{ZYfQq18^6l%~`mH#ZH3gc&N@L71puib<$vR+*Bw`3rrA*2>=tZ~< zN0Ny;M{OkpHW&ZPPi^lD?l5elO=E)5mTbieaA~+cRB3(tVgBe8Q?NIC+HMI3v?2|X zpLI)YVP~$zo;a(?IVj@GEgX@P^K-RMeWx+WUpw+LOLW#p&*^=@Nn7wy%xfE0mxmX? z#&=+&)d&Q^#0QE)5IRKVyxGB=v4}hKHrp!3c!PQmYAYmX=t9^XW)07GJrZ!$7VM-% zW8_h3aUcM;ApCK}KT#(4PL^g+-j&NZPrr2}p1NOx|@$l+e80n(D7*eqLO=L4!ZY0|1jcY>I=|9K%b!m zsTea8y?q1ER}#jm!d~#q_;vz&9iAWP26!Oton04w-HBG-(IK_5f0xvufd85>Kb*$v z!hXrh`qs`XDgdG1-*urz%gy@Grws`R{xmvZ*fKGF<8)>xFj6%)-|JY{>1#ZHdWNdT zIK+fN9Q8qj|Kc|o1t!^U^?Mlj&A&jxw>=zhvUNb&uy8&~Z|YJOTf*icNwR1Ax{X|^ znaXgIN3qSKyllAK9DfGhq2vo_yi0-rWYg_>6q#m}prVnrdgppXeU@HA3-C?L3Y0IU zLtu;UF303)n76`!3V1@$@0DVrB4J;wp>?s3xRER`iQ1ZCZBrB!sp>qVCnR%YIEkl) zaU4{$ln>{bD;$fwm}L~=R8MHH@hr|U+LU6}e}P`|c(d!lBuz_HTy5(fJ+?_nlWi^z zL2p-+C%v}KQuIv0GwJb)OtERw3Gpt|diy#?Y|T2J(!iB37L#-^J74KqU&_8IlO<~H z_)+yep4PnE&=Ze?v<-UhFd=%5egy=mFOxh$bRB1FCa#lsyGC6B$tuvX2Bsoe+sbr} z%Vkmra<;N$1_OoVPB*C5V8nHj(oSUeYf<)1u#>klo1Yx+Y-#o()w=9cm z*!&CfG&xg=26LIjHODq3OM(uZIe89HB`4);STP#V$~aL|24Bf|z!hPd=nm8OkKm)G6k%qtfj~>&1pBJ; zcr|Qu(1nEcpC33VSfcDHEQoGbo>qGjTOWYdI10psbilDrstd)KR*2|?#gn{_(cp!p zsjP2zE=pWyx%f7#M1e*ffb3)SmkZu;%{Bdqz&YeQSk}+TOqhdIFzee?ItUEE27J>zrRV<_5r%E5w;A!wOpr9lX$re`y1Lwsw6-8c?cW9_cx-2 z9Kkc;6N%^vZ-Sz4owq zS#X2rJs<DZ_T)?}NO-BAFi#CzCa2b%zz>zz*{Dr zV~PyrvKu*>3S zYIWeKycq-hzFoM1!!XJpu`PAdo)2>R`dyesQYOa{M<2d^*Urt0BL$3`slcY{)JnZ3 zA|INRy)v#X)Pv+(YfayqThAr`^}EFH#kR*76@~`H`1t7P6cJVr6k=2yz=!Oouz3tx zD9rF>K{r_Fq!WJ78@Fer=ri$E!MIPnU%v#a0G@GT>k$rW)4a?SwK;@r*C=AE0`@Wp zs@;e&sZSgS?aLNn8K)(YUa*m;)Vd6Gg$ zGLVjGd=SBD8_#2%Fj>Kb!4w7g8_iXZ!A{! zN8!tOgX?oZ_Ry8)-kBy@rUiov?dx2NE7F3rDT`y*s>}QMr1sN5|I!|MZtHlJmUnD5 zAAgEZM?(>YDdXiR^_%^JqeiduVmmYT(XBdsLXS3DT!36o@@Wjm_T66OL#u&C>q}$< zOz+t8NAhr^)m6NkoAc&YZT^BDZL|oMUwy|>KBY$kEnb&#ZnCIv*(N{SY&D%;C)H{f z->q5obfDb|mH#`oO3%7&-n?qS%PhyaFllJmsyYzZ8;;=vLP+^IG{Mmrpf=dHun8HC zHxUD(!kv$(EVcz64BV`uCpcuWPn?qnLrW<9IlSaEe4I?s0i%c$F>^y3X!=k}>njDg z8Y)N=c?KQ{c-6*s@qNmJr``-+^5ai`WrHX*8X?>5gPy|hdA5txdHk__NXD=^z%{E| z8ycd%BDdp=n2vUXZi|LLrnmdVK-&0sgFBMOJ27q6_cix5Cw4Ut&+V^*a|)9P{r=(! zQc^HVuw_ogNH*zv+gxX!P`c4*pIPTO!C@LmoIObYj8=EaP}Njbcm41;f4rZIJe=dW z0Nq^D939s98Q;7X^=-I>~X=821VQ3@j31tU3 zOl&rJjBak);6hX_wcF<&{hWj{*_#oJta5;ZV+SC7nEB4tlV-(OekK)H+mvWUj*W)I zsFxWHB>?m?iqk7lfwCC=$pnx9#S|ty*3_q2ya{T8_`Ak7G;jxPP;z)knRW8<3B?Th zsIAy{pr#lhX)^LTd&miSt2|k5*EnYK1?htSF|FpD)U^-z1W~W0;6M}`?PEV0Qw|j8 zM3`xzkEjsM-3@4H=8Fa_(`jWdSRpN7fB7lIp%oeEMq9I#mvkx99<4k4Il-npJ$&$! zL04-!ozI4BKM^E`zGz8O*Ya6=&?#O$26Q?T1pt;CtoK&3Q=jctra>)R(;#!URt-@* za@|RvUFbXZMj+pdp2MnCgY&#OctjYl1T)A=PAaU~KWc#52xex(*<|e^JHNuQbuT{~ z8AGip^t|n3UAH0ERK^@;HBZhTp57L?){h1b!`BGmXk|FO7kwp{zKOn~3*Ug;lz*A* zGo*acFt?u*1k7ToX8Fj?P7@`^o}e78z)rrN7Q1R-6D+cnAZQdn~nJTQDMvVPHE;up##7XeJ*~zJvv&<%IUUT;)AU3u~W-p zS=%6{ae;1)qNHTMYS5fd8eHg<3(#vn5XfgEQ^5u4DSJIO7JHC~JH)+BX6%0a+r0-v zfSbFAkGlaB?&%>+)7?VNy?1N2?30XXM3wK|)Xl*=y*vTU7Oo4iNb$qFHl#xy+9Z52 zTkZ&D+n@#f?RJlhm#59_LHvQ$36+7}AP&f^9w(Sn7~%<#EN(0LGe8jFh znkUkco~XVtZ>GU!Ehmp+bf#3VH}CBja}SQ~S37C+R$PHrZl+%N{qK8cWzB){tTK(qGH5vfvH8WvkK*@fZpDht+uqI426y-bng z@*w&caVOm*)%)^*%(8gb;t*>j%z1Ruq1;%DuvB9A=2Te5(=tu6s4lm!QiKwWqY7+_ zvX5ZeS;VOKNPM%&0%AC7yt*}mN6^{(>;`D#o(>U(up;vRymgzPQX^TiC9H(>eR19m z>G6Ux#Q4`=-eiR?WUXwp*7+z^IIFaySBA>B_DhgxR$p$?i(x&bqC>|jlEs*Je_2Z1 zB3zF)o(?{O(-Uute334yfz`Q9^;fN+QKVF(4&kg7JenX0NVOt1v2d;$uWX)2V_U z3~8FFIo8{X2E?W1f)Tq9wg?QP2=fJ|(mdvIkZ|WMSmeug0uC}~@Hy45K~&KYDfhqH zP7NKm^|I9dt1V2*RbkP3S#T|JStD%1qSmsZfAly~|7Ja3j6$4Q(%q8=agc|SIXxqJ zjNCrGT`1 zAo_ZXRIgDyzrvsCe1cC$7s-K@WT{C*8o)S6CcZ-ltLI*8l)|*i&G}{K>Y})064-vz zNu8vJoLbt=BjNh>T1h0#fexoqHHB3b9Ynw0CP`i)DSf~vCpE}S(IIEp=$S*K8UAw| zeRb0Am-)sjj7MZt578q!&^4R$TUD0poxC=ey?wL@0Vy#SxF!exyiZ?s_(m*!m0T=AHaq;lmKrMzCY6i$*`F$v zqzWvG2k>8xu|z+@ZMwA5GOZ8`MRuD^Ge|c#K02qO77ad4dxw2wN938|mYvlB9=nr4 zI|9iIx-;226D8q9LH}-clV%;L;}yHBK7)S|q}uyJA8{pil1eHTe=Cxi1D9n+M=Y)C z3ehJZTg%4AB^Q1%!U1_5tKsF=i5>W6NPUfnwm z=P7GAySRv$8E*2x846i5b#Np!4|09)0r35e{&6x8!dxK>{}o~%;su&F_eUO$O5{Qt zenp|trtsD`$^7Vwi6H-$JFtAE&1-DTlN|Vv~C`!Vxi{#5~+u|pSOWdT`{xF|Gn|BFV7kj3YZKfaL1 zJ#nF0MoFSoDz~{1pSudElymFXyqJ$%q`p*t@q~ieq_<9>3tud z^Hrq4jyKQs-32^OZQ4`|r?10NBPprTGdQo4Ecysc9n2~6lq~mrb;y++XRNLQwdPdU{HfW z76_BlxTk%;DA5~Hz;;}=9fobv zU(q`nWb7aa$5?;#lYob_P6_lts zJiXtlUAK-%-PAo8eb;Si>M;U*|_=->k&(bR-g~|6D zxxU+KdfyR8npO~G(O{cj=EZfcs-jY5D>wqI^fSxZ&SQ&)SQyC^dV#N!P(dN1cQzgI zjX5W;n)}l5VPAWVMv5q+8g*bzd4hyn&T9XVxEfR^*SJyr;wk$q3TW!kYN*mRy&6;A z7735&#K9V-Hn*yB`|>(atEY;Rlxkuap0koxl=UINg4o7cZ5fFMg`nRE6`;MQ9e5V}@POjw|cCEozfMok{yPob-Qbo0RC^OwQpm6&zC8zlQESjb}*K zFca^)88Xr)h1vMA+#9`=U1t-i8t4WxF(wBIv#OlZ~ z%O4-Xx2?8S_$ynDz#^l%$U_h}=G{LrHxN6r_abfaM=BB+d?Fh1#l!t3fcWj;!c~$L zn>AOLnJ2GlHjZe7zo0vwSa*C(cQAg6qO!Fru!9fX17im{M&Xq*ka1?WkgB1)xTp^l zv$Pmvu(Mc$(rk?Zw(ei+L<9vW(G5{zm$|5&s*DagxlNLpV=cBT(MVgSa2YxaNrwv> zs+h`~QFk1Kkhk}ukF6KKmf$b!@)Efb5C&2m2q{|5j`%HC$Y z%ISe-@fiW@Z~hJ~V+v+Em8kIP73%9ORr%w70-rtGtv9e4a6wg_a@})bQL8#WX)}#u zniwc2<0!sLuVi|cMK*W%w3yH=n0w$H`L{`<2mbjx=|N-ZLqKrpV2HV8GI0m;dK@Km1~Lkcq^EyDsoGTpuq&qtsp`Ys z7`DAedXWaT`ogE9#Iq7293fCCOt1yuwg()o{BJlCaSMhvI7mQY>JKZ=;`Ovl=gTA# zs`42~jU-shO`4?2b2)0quo)if$3Nr8KfL$&-u{R`f+vQ=4&xTNM?Hr!fPR)jeww)o zt<-_W3-oaoTE+MFZ|29i20iwZP_;m5#!aSUwvlUeNrvpcHWh_BLe>@5guntgjFe|h zQOvmXk-8{i$BTUzL*q_OO~so(?BOGU6M>6Raq@E!u3pIjD~9ehA&BZql%b-d)~`@y z$_|?xV9~pik*X`T3>S=*htk~Q2P9{o4i8wKKITj=y^x;7xJ70NhY_WuSeeM8qEyq{OfRC$L+SB%J>$09!D$B#h z>ar!6AiUZVW!t1wC=tpqcdN#)5?COOTqyp4k5|bRa$eS>J*u_EhSkt4X`h9OFnv1d z2UB{woH0W@i%JD!(nJ+80~g9>_K+etMiQ2e!H7zTM3)xU@J=I{3MmkEIocbjXVt0F zy0QQR8`W=nkbBc!J19W)zSTJ@*rZ?^VLBWONYcA?ZA6&8a3wjqWB@;n1!}JoJ1E9< z6;5?gQC6ihxj2qYbio2$S_z^nD}3w}Ha8>>U86#?w`!>cjhX(q!^O{Q(`4gnNxuvl{-YvIi!%*EpU90=% zZ@v|jP|g8^u0F{nl=H`_folVWyOaGnx?gpaxV93u?LN9lfsWyosrT+?c_;Hu5wk4} zZnl~}DR130C;0ZZe5wx3{aeP%%morR{-Bka4aJt5<8xSSbu+gV#B2B85Peu~QU0lD|u-)ATGL`%Oki9gX%iXFXFq^jg~c~ryDgU z4YSivbiFKbWy7%(Z_+uYmTTf^SS=JuO*!`Su@zHOc_GYa=-i4GR8onS4p}LD4?S!Z zr#|Ebotgh3*Vtn*s*cV_GhC%GOEjOHf8xOCY-9&wQoe-$hxISNv|V=R2nol8g@Yys zDtAcrJ1S6n4`bCM6UQ4W%qX_8Kw97jh5QpGnI3tuD?KQfhAd%%RheDsO>VZ!53|5A4>Tji+lu&P~x`KgJg`xw;gOL*q zZ@Mk1n7WOWT*Z}EAdy9XwX>=kgob9$Ag`EBQGIfiasG`{l zCdzfJQA)~ZUa{%%QFHK~y06cf;AWdTb)Mu5No+FZx^Ez!V)*4{5q zm%`d~6ETy%L6y4gI*YfM0IxC_Ur}b#SqVq?WxCKvQY)SJ7FoPKE*r4)G9;^|qc?Lj zxeuC`oGy6~nlCN6;svnY!D}s&?wS8tG#J}zQeHUSxM(5A_F<1?Tlu0;CaqsqD3D^_ znz*c3TYH+l`R}F95;7-&={4&rD67jX+J#ZbfOMKO->1#DfL#kEi!0KOXHFhFB*^Y=(ZtGi|=vKs%1Qq48&HD#oYJWK;Ik1(- z(h3ja4f~;C!MnHEiPT`*fBvXO+wetHH?@G6IrA*A~1-i(uEKw3YsLH@m0@EIQRYoG8dC0O8iF0XmzZv0)DiFa?lep`9) zlV*|5&+c8^6EYqnaKU=eMhgP4L1~;5AcBesU@5{%B#SL;gJHtOI_-*ydJ zrRjbj13r0x13o)BJ$ktRc*(Hn%*duY{L16L^ZS!V`4G!Qzm5?`bQSuA38{z^z zo9s4LR2;tdJBz1DW_HE>OLP*R(*I5_-Gm`-d#=(Gqy$|$uL({hNc5o491(&;E2|Z>F6BY12eh@dyekr z@4j_QOj(01%0C|F$&6_-&Tb7S>q8!f5oO+-NOuD^JY^Tz0@zN(F}L)|#AC(GwI2qp z_vi^^ps2Kyah)cTdg628VEu?NrI=5*F(IBHU0UJh&+nB))yf4X5W&;_Z`x8=s4^cM z56MQAn>M(hrx^57svTH*ENADau$40corL8T+;VSj=4|Qd-2;-?@G=?V1?Sb@G#$xV z{+yO%Eq9%m)JZF%nUnv^yH)D?;eBWC?O9JMv=Hb)Of%Ct2eXwVA9<)-$OKrK1eZvRwPCxg~x zKzNhlQl%d10$k4PQ+{59P`0a}0w`=71Ho2jp<55ev^5}}Ry}MK=2qZ+qK3F7aQg=7 z;|Ga-2l}A#_fT5JLKH}y7GnzOiVv%{xif3bsHA8<=g`QI>ig$PIi)+$HokveV9kaj^udGM)+3ce-{#(ea--Vu;>amQ?^ML2*sQ`7*y##V5;o2y1RA~ zHrPhgz>X(j4Fz3TU8N1DoET^duMc@tpQj|$l4g-AH*X|PGk)-=TmvzQ=lu8B8jHl_ zLqn1p;iftqu1;j*A=eY}L+Dyl(d6Ew)k`U)9kyAI?;l0CwsA2`{h$KGcBy3~f#-17iFc@jN)_AEji@W8I?_RDR~E>oPePxfQpr?(Ig zqraJbI{)rQZ+`a9n*v8I+^EZzE@lX^Y5Sb*lk+p=fjCprwkH=`1XBR^=o|~8V)!}K zs8aMjx^Mn<3;!*nCj5u#FzkESg0tDGvEU}UPC?ek7h2346?jsD7XH() zFK5ZT^LYhCrAPTRAm##z0>nB6#?v+FrZ!G}oi^i;>SONI0b=s%l`_dOr)^eX^01eE zfM%w3u{rfWGpeGx$5R%WluIi%NlA)tT+XT9#jA7;3VT_m&=zUr<6G6DiIpx5^W`8C z+e*RM)oM8K(xB06Mcg{dHQ_z!h*vPvZZauNj!g(sg5#E;lnvTy;8>)}x(p8e##NCw zA&9M8)K`5MZacuvKlsUD4;U@7X4t+_H68nNXSJbx2Sms9kiugzs1^h`SNTV8iozx0 z9}hzd#<7Oc9w;RFELjy9t}BAyR#Y_Nw+dt14H3Wj_wP{pK+yMEQ~B63rFz*`S?_<+ z%eH!aax1#kyHz`|lrqhj%IUucb{PZqmT2BogGONV!Z*=Zzd#erMh8no>w)@eW+g3(j|Ls8>QUTI!L*G3;tK% zYBf@VA4?JoPBY-@3^bOn$fo!vdSnPnltL9z9| zx}ruIjIW&fB*TY+Wk&FZfS)1&71giP7jRK=7Kx@PGGX{fO?(S&Xk=3>0IBX(EW$AdSnpPax?RC;T_TD+ zR;YgjYek`7qpe;PYb|coDBIoZ!E@3wRGcIByu8rLW`*VCRt0ExIOJr3laf`U!>cXO z7`HVXS->6+Uu)#(t?I0-&?uB}Y86U2#Y`(+<*M`oZXq{2Q~Cb#fNiVJ>METhyNq}^(87>3G3{^VQ64w;wz#Nq5})rjHfcc=%w&v2H0f*z4t(MBv> z{&&rcVJ`vHHb4gl6P%cNI;dxF{sNa^B`~GChxj*l>1cgrgNgF_jLiV!K-52*@&K5* zzE#B>^mRXt{|nHhEZKc>ejk2-|5bIMBXs2C&Qek^FTRgu@Kv3iE+>mMru;AONz+Q+`Jd~`4RMUYbT&f~a$KN_AK>2cK2_3kq6 z8^)*iqR-*B?`{;6^JsW{#-q6T4}R42#m51n5!tI6*>NX62Snr}FPQSc!yBzpa5so8 zE$N_pv`8qe^WYO{LbF&j85AP)7K_^EINi1&jb10p)i#ylvkB6|ASAsmBnlnLZ!DA? z`lYDIlUt5jkMu>J{LrHX1?jG%{S5&fNW#r6%I{IBx}5Y84b-M&cVG)#fIvM}04`)@i`(&d-KXG|9005h@QEc&t*_&o zzxEcRMYk2taI3b?w>V^XM69z1&}{9{=}47DQIVr*F((6BuP{xaQzUbCy3dNSWh6+d z7N)f@kT$qLZ1sPU#FP;%EmL;-NIz z7MMyx3s0fi8<1rwb34W+s-RmD{_nAs>p%sw$C|Rlc6TytN2~<$5`(+csbjd%r=q4u#o?Lca{UlKj)CyzotejG!W0s$tht( z9~^6psOqBAkZue|RVNNmemcp4A^2%!z@3d#R&j*5%Ktd}A{u@f{WSVR_`lDipGR1b zk&oRklz*Pu9Alg0L*Ss}mxq6N_&EjNQ6PZ1iX79t_LO^byIu>QK@_-@i`FOoLbWxpT(9aU z!8CHoVU(;`cDN1AK#B$vF%=!O!Xc+G&$sqSaEBF)9mb6%&oyUTQl{AsYrm)Ux3Jpg z$#j~cV1_r_k!ASriVR=2xv{v^7PmJu_%_6^U`EVtWch95YznH%HI=!-^ffN3HpjAF z>2zBsw`1XuHk`dkJ@`vf0`X4{JPe%9DVsdRiq=PJqfx$Rkj952ICNe3s;YFFF@q8) zC!h~-)wsENDWw?8$a>z72d?#<)vlsRhO<94N}e=j5^~jPA@sM^cDAAypJ`oXy+L0d z3~EM4>f{)&*;(2$KoAk>Kz1le6Q~hsO_DCf@v~v^duV6)CKX+$v_F&^N@nyD2VJ zl7MrwspG0jq=jO8PB{>+C#fddK?%WUH*0HwqGcrzM20dk0@kY^E{0HEpkG|eb2a)w zsD#{Eps2c(Yg0um%mXUItBR+cb>|0Ijw81#;%6xBgVXB7r&Mcnx^D#+=S3%zH+a#> zP#>w$*(-68`@xA#7 ze$JQ1zM-ywYzJ5rVZ;dwL&{cQqW~=UA(-f+CeuX&7SKQg1j^qTi4#2-9}QYk8G6ze z?4W@R2L7GRrSJ@iaGmJYmDphN8Qk)Nwn+)UWc(%GV z);tV9ON6DJnnas(0LSD;)D!jVsPA-+y(*FV4V^fWGpTSoV`l_?h_a1}hw_=LI@$86 z8^~AEJy@m-9ZsZz*r&9GC*`CHL}o~EQ=sy)B?uZ(CX4hn8&u@2Ge$`|+Y!Uj@$o>< z-qHP2c#PKG^*cT!Mb@**ma`%WRw~?ibQqlYQ%50{e| z8~=I>a`|L(ety(fKFgY8w+fbale6gDvLJr%%#f(p+U8VX1LHTY*MI1mq;D2Qdh7hm#0$` zoL&cXK=E;t$gI*3B4@Oh0^#)6Nmb*hL+O&i3SKf$RiTDYl>?ar>peJN~A zS^$*F^6TjVJIrMIEOg6%sqtVi8Y|GMf?r5`6)5@T`?y-x&4KG`(ScMXr@;$@kxSI2 zUQ)Ah?Mt{3a!a&wG-#aigEwW~*oSn(S!GUhkxDvg$@DR4{*ot-a8Ow#fEN;pi)!-YX6CaGEj| z^TN6K&F+0404A*+M3R6vuv_$L^+~k(zAi6;)9J`tG3G#FfQ&wJ%Q?$g_fS36*+s@n z3#av^04yETp4&p#LM(nONoyoClhf}ok`W{v0FleJ6ze1b^#+uJD(T6V9Io-(|C2wu z8!q`xY!=(2wpQkg?H(<`xIPc$P3Qu}y{KfvOGavJG1xDALYXkbYsIRV3DqJVXpA-{ zadK7NBZ7>Pn^U2Ru3<(*gRAW@i@w5#DYXJ0{)RIrEc0Y?WT#Y&_RWx37jKdt(He6= zh%3n7SFm77@0vVx#uUznAfKi)Fm+#74umEy3k_t6==(X?Vi{Ek9ZnuNI0h?1Wr@t^!Z!+A<(5jD631#N<-?5VxDA@o9iAGE1F}^0&4R+szcRuBhPaOZRIt% z29#B^bZl`X&#eiLmsRv?b$l|7%;@@obl+q|B?f(J1`^Dpw{lF!MVZn^ z!oAE_mr0JBdc4_|$P61HdwtcOBd9V1XOeMYwvVb%OXF?LQmo@wDd$Hv z5%*}tjFGa0LLffUguX1EKW}KALgXqhUCs#AdkSq7W$zarF(A?d_+s=9W zktTY9qJk{L*;;Xu?K|qP}JsKRFwN z9Yg)!kx>S%rl)ca`eqWbpJT+CjH`p_p`4hV4&(rZSi_Ut$If;e5}O|TQG}jb`y^1k zq^Qoy{yjM%Er8Ixj2CqSCZr@DUG1uk?zw%d+OFCLrx0t5 zpghi!ijNXF8??w(iMQs?)*-aS15J6Q3G8I}U$m5<2i0^4_ZcV+gwVaYm==3cT)Zk0 zcGd0%VNZlE!>56`J{}RP%1*)d!X7VE{O_nMbLC$293P0bgh)LAEc27UjSC z(SGqSqS0RVmz7RnqKX}B?okzIG1WZ(3CQYYQU%ItDRY_5KiIeA1*E-fwWQlY*+wnx z86c-A=Z09??Atj$I5s2Lv%56EN~(IzoKlLxhhtsPd(Vzh*=7E)*U=0FYg*r? z=jPL3rPF)wJ?v6h~0>ruou-1wxuv}C#jZj&Sc)3a2#M>MB8%{bhOo`mg2sVz#; zc;r-g_jCqsQR&t1MT3}CEoM3%}BD;zole&>{r#wzzkUQztL-u_9Qq0_<2b z$3*muM|q;*-&R(Ch=bgY9aNoA6;8}IfTB$jU$$mStkGW?qrVdFBD&@UcGT$}gEwdV z#5|2>u%*&j)y2|ltQqd3a*o?k>xe3a! zhY18-UZsc?#f2`&6}eyebJQSOc~PYW^_)a`ky&5o4m`JMP_Sc-m#}U$Z`Q=QN-ws1 zIp@Q{vJc_&pi)_F(HE8Nbp0@T6qFZGe@hz9lZ4%V)+%tO1CwD2Eb~P09W3uf6T=M{ zpLUk1A!Cp|zIX2)C*mOiEvys#TLT};SWNckj=9d?xeaY)J_?^pG&nZI#c6K0W)K?C zEbpVj;SiLG;8rO`?4SK%3koz#HtfZC-$i(@Tw2123I77U6{N01a!=n;J#X%@8SeYZ z|8G|hrG@xk|NL7z17TpmP;i%r1stfOAZP!c9=CpCewQoyPQ3iC&gE-lCr6PKOgTS0 z8uYmLZ>~vjb9LkoHfe=18RHsJSo=N*rW=<~hz*DRGU3KMp)+Zj%vg)@_dZ{uJi|6+ zWXRB9TnHHoC|uiOCrWCQX;#xc;iX177slwLr2C19X~JQ4Y4oF?M6Z&PH1^r*Ixg#P zl_XR#nK&&YpLIX-UnZE4$9<6lOkA%);Y&a`Z6yR8>W10@m!jg zsNpS2{N$Ps_%zGlckg`t>_Xk)r8&v%Rck69U52Iiw`u8lH304W;|8jtcHCVq9#LZ- zC?88Q##J&_0DK&bLR-C?G{?K}o~hBmEWIFlGs)W2h}witcl!&uFabW>x8=f0Wv?Xx zSshn$SqD+QSCBz~W?5AZzgp-m^t}2kYbtb3;-^WarisylbZUx0&4dH&N|b`IXws{> ztY?ibEHX2lE^1M;Ile%OW01+9c-`yn;#Fsek>{@k_x8}GjgJqa)A89sbT($fz5nm6 z9lmvY5;^IP;LzTH{bqFvlRzc>x zP|U9v7_O6BgyDgf7+$NI*K}!KTmrvn0NkCV1`c5boiG$~@ragiCWOS^C2J30VlcYc ze42?Qy@*t?iSFxS1Ds|~@ute=Nuay*(hapSIohj{$x&-7n<7hmZmA+mtozAT*GL?X zua-P3^p!CNv$SGX_IBeL9IC<*l1yxGJw-OG_Z}GYm|UdCV7fHrX;h#5%lFo)Bwt$u z{Gj?JHA1bCf}cbKc@|}1(LQfZvWXde80OwKa*3BGMIMG4j!Ih?PI}45IMaAk_IPoS zVZnO(7xC> zXDesal0>fWX`}Iwp;{kGCgW$W7lTg|yW$m{CcFl>LQp_^=2%+p| zIO+f;iSw~hPd!Z4byhYIRr39n-D`5T-E1y+G&*4o9shYBPk&u#rMfPeu+!C_JPyx} zl=6>o+eR0dL4@8c+>f6p6?wK^ia%=j(Z%O4M}0;u4MpbRDWZAZucqX8A<1f_fd$Kh ziqeSh>tuf)AD_|ij*lPkY#g7RfO+@eKK>8=3lz)a^CO&}V_gJpS>1AilmhQfj5QfA zm3cx%8;p)bOfiV*iR)NGy|YzHYPlYPV{bA|t4-cZrU}f!$NEX-6vX(e(YRh6Q|f-A z(8xF(c7{p^htv*tk$s*pBq?;vkB@(()If9N}Q@9CTO*wbxcOZG!6oW;lUzG)Y)QIs3>ZOQfwVD=XaS%Nx zzv|<-Ea0q(@6J@~+Y+tkq~8wW(P5UaV1O(%S&bM3X5_meJN8EE(-fyUb*VlaY7y0} zs5PB&khr-q)K^8C_e>z)q6*h20H9ZFDOuE=jo=O4O%O|0URyWNcWL|@#js+tRIN-E z@b=oK8E}ecwQQVX9?zm7sKT*zYnt+|`G4Qq!wO&@Rlbb1`n&o8&~SLp=k=JJkm)=*Kjqrl|L_k>_j9YL(|xK!ef!G8 z?bUtuP7bkZ5`RvX3?t2$9eoAFAUG>vw@VpW4D>mu!k2B=?0MKR(pAuyLBE{?Epx*9>|0?6-7V3c)>ZJ z4)H*XHnl4XsvR_rW~*%$4Wmm~3re4g-4hJ+VbU2$kDW|6rI_Yckz*NNI%8A{dAN5~ zoiuSSZh2|yZR+-xyiR7UOn)Dp(Wy(s!=_$@;vZ7;7sIWM_A4zdDRiUw`tD8p+ zE*K|?kPon-{?MFZ6(D|j73akJGEo`NE2OP~|I4*3=X^FJ$=SQf&cboVQ4dO|elHrV zq<%b-xgq(Da3hd%h+H@V&c$@O=4tf&J2{Dh+z!qr+6RQoVdaAcb)D=wE!Ox$J|=eq zPVwUy+DnrXG-8#kEW$$wUA-qQ-a4z!q?NuHPUM%Ph(fRq|Bs{gSzItials06$D|D0 z{3Ul02}C?Bven88Y950?!PALCO%#$+gzA*fE%ZEuV6*B1Sv0O7MAJF|h?+^I@>&%m z2&@7-Gj-2T>fq@dszK{xh97O<2>VhQZ8mbnUi92&F6x>U-eAc!!kUECH?)enmt==kqt5$k|Vlq6CTv?$jNU8P>>Fz1)806jlH{P}(7p_OPt;FyL zRbAu=NL0>EuZ)Gf+J_&1_y`@<*}M&h(c#C9t&BVe=+f-mhg`ZTW<5B2I6ch><`$27 zYF?K(V@Xw0b*MZPSE7l9h!%6qu<;GPGDLzwep`5whq z*q&C4vsvnih&LPPJtlfz^8eCmm+4c1jPU%0O31f$>X)I9tuN#bhzvYtzS^_zo7LO5 zOfCd_S`!(>VS4OaQC{2j9`iks9!+~z^FexF-{X0^0tt-&n6H1$7cPs9iQ~X=n`CU%*Fs}?o#_;^4^^M`O_r{JN z*`dlcp5y?dil5-obQpIqrhEsf9De?+Z(To(UTrh<5iT zd>~?3u$8Lnwyv$9ba8{yYjH+~;BdDbXSj!{LMK zvx{h6WEt5ef8JnY32n8Cd2T8Vw7TrDH$dyIZzKrRgC5QcJyfAQ2GAO8-F@#wdIjFX4I17ke<9T?;9 zz@C}>4(yr9@4%kGr%MAdzi6{YCf7SbLT&BO80xvH5fwXork zH&q%;>Wp$%u{LWr1J8`beY;svc@sCC25EeCy@}QaWxS8ZPZ<)~PUX&(5%y_}?-WKi zKgCEz!#piqwPaPUwTD7&Ij-891Jay7%c(@_dlBU=y)3R#r%GPi*1mq|z~a-%cE*K+ z8VfnEOL|-dH(*YM42&~t8MthL(`uyVU}T$0zHI^lnGb#L@^AfswK*E7;%i z5`WS$1uNOjWOg%)J3P>sR%|Utymfa|bPKFI(_{rpehzkZuth`*QG=huKj5*_Y1dlR zjQ+?EV+ZQ*gZXYAlhRvdDI2))?2^HkA3LEM$(tmR=H835tjvGuR05@CvdDyW1`KiL z)2i79XR2phCt&2GTI^*tu<^pa1&tI)s2o#X;QxZfTa*YgPWUghMi4o#xKcI*irwdB ztULF56&!7rED0vhAaZBqYP3AeG^1M)MX3{eu-O&-;k|}961MBjUgNfIe6ugmoL+Iv zV$th;Mq=H#_XKuMn)NkhTyk{f*hL+0I>&>VKyu&rIzMwx%i8N(*|&aAUkjE4OYtd| zdX}T5ZAfzWp}KdkG3~wRWo*q&2?`ea`Xi>H@7b5`&9|Anmcg}(3}=y5pq6DYjT9Z6 zC7U|JzIw)r&m6i>d?y1A4-pfrFqi(i=PSpNedl*Dpf(ANYS({6zIcKjG(s#Ko5Ue5 zQSr6TKDyrzh+9wtE)+1<&l;a&wq2rbd|kjnj;?6}8CBsD7m7{86d2Ix7%A){Gm$V8 zuEQTNsImUeKq0ZzNNjS3j*MHm1Aj^Lt0FUf>C9QppU_1>v586l%9510Iu1Y+hQabF znSj3Fq;PfMEd5b+#fSHZH+!GUcXC@8XkA^|N?+KMBce71kQ&4F;BIZyZbBYGQKP@~ zmI7c$lSbG+x66(DF5%DVnSe4+jUC^ivE#PJPVUgyNn2y5cWCUit+D%eXzae<*v;P| zE6oZeVyiDyt`8T3vD5Hm)xAn;i3{4;0=`{L0g4ymj+ez(Vuq!8it3;&;(XN1fWbz_ zsu^rzAP)T`kIR&pvtBTf9iwX$a~~dv3oaXqADt>88odiX#a08m*$7wmE%twxF zs)0W)a+Fap=J$&P?|X3ifa1zYewCI*zGhBtO5xKFUB$EQRtO`j#f<7dPT@EkX46Hq zA}MvD#PVXB&|6fX4RF#BZyK5px`>tE$^C)8Yxn@=R@~wIH*DE923vwz)2;N+F-*ZM zF_erjoI@Pa*W06`>4VkC88B)w!%MJZf3V?#0lPMypFFv)xyYzO?+urS!^`J9*lMIr z3;__VH`}bzhrly#82gYFkkGOw5=$MZV{eT+z-wkQU1Y^In#6o&p+70h;?`)1Biqm^ zu~;x<4kYC&#`dog(DG1k8?Mm`r$PQo{f48I`<5|An3C5f-H6BEO$%zz()y4D?7zdR zz-(0%S$o=RZW3OJ7um|1v}oW7YDSs6R37ca3=Xn++(jTqM4 zEwENQmX;wio%A0h0m=)bZOrV1X&kf(JKL?Mm7=`e^G&S8OV#}I$B!PFyvbQ_60L@R z>Qu{t^H-|LL+m8b22qNs!l)BI;gB{6Bdf~+15YaI>gZX#@hhYDw$8`9B!PTwG&C5rIuSfxogMCbSED1wD(14oqszo!iW?Xw-JJlOhJ| zDQp_pZ=eOO!E&0WwY^#RwYM8HjL$Z|p+QXH#Jo=D^~!kF(94Ow*5aCuE#>u_qPL8h zb<<+rCQDQ3XGcfUNAD~4LL^?PNf;2CAltz*m>TX{x}l}LPq*bIvT8p~%QzZ-`czlP z#9V}EIi;w8Ay}t~t@hkn%9k@Gpmt$@(>fdMKUFt>ZjbbjK%HL={ye>1mEUGLUyI?~ z6Lte>^pDuzJtlY+|AEON1m74Nqe!-KwP)?#-Xgscnc6YbsRUU_1npf;re>uN#6Qa+?beHh}*otz&YogGfjAF3p#a9VPE3bNVQ znnOcb**c%{nw%~x#N5FVIOkF{QbuH31qe`ySWq(O*?w@~V>)Ao*oYWM%7AQ9ylN_- zu1j|*?I%=-QcVa$JR9XG(Oh7nTwCOja&6mGgUP*fco3FghPk8g*O(rY-$ZfLIRUZK zkYq$omsdr$ZB@)WicW5jTrVh(q`;$H&NCWLOZZkkydLM;p(Qa>##&mL;P4o^i^l+S zQ%1vbvkuToHRQUQuKO5lhi8=EqbPrER$XHEIc)886j4SJsa*6tDwN6uGDiz2TG3Z5 zfWDzFEe$L>IWgn7`A5kFH^Jpj0?WPNc^JVqWc6th6eJeAyUjqTnF7=O`bzWpF3MOZ zZ`OTot0iYq6XKp$8n#IPy*kd~2p>XYFnL%i1(s+ajWVD!o0uNb}0(J9Pg z8BgAUceJYpLkV?XfbR3d5w?x&J8;#DK%D`#oMW1@o`@3%Yv!ISYOf%*m|GW$!x_*GxMYdiyD#rGZ=LP z-O4j&mlAY}2)axhU91WpkYpqMz7dO%*thcAZ7X!?S2kc9mRFp0iUMJYkc?(;xs?f* zD&``2N*v~Bg-x-d6Jr73Ds_2HGy}0Z+$!cVtfszWUNVuJoP&OL#eL{#a@<>?to0JlThx24vCJDzfk~R4{(UoNm9&3g;DMMsQT}09hxg!sZZw^&5Y8Bp&9B4-{ zv`1XJ$mDu72nZ1eA%!}6N2Tt?vS$bYdDFgeuCl(~89Yzu6?MCvUdACF(6H9qHGNXB z73tr>B=S5;z_Q+8nR1;3IM?u-dNZ+x;&PrRK2;)N@#1B_=OqhJRIAqwgnTqIZNbTqPNU z&C%3xSne(MsNb4goBlVytp)UbkTA6tW4$#elbubi$@^7q%_$|Q+?@UyA>FYOx|_I7 zJCS;hbnV(<;8#2jXG#RBhq7_p<}2_(lTO`JTS@CppdjT_vIm#s7HutcoN%7IRu9lS zQH^X*s`PK+FJ+wjb)H$t6#Mp$&wK~nUvr-DBmR1(;ue*%t&wOQ<+_vv zKz`+NsR~v^MED(X{yupJso?0SyV}_V%(I_1HxEG)?dcG&2@xFOGoq5Gx#4E6SFjO# zCuwqehYnBQq{D|tRkJ^JIKtI27jmN33^jl?lp$P764{cpr10y(lcV0wk!Ur7#WTAE z&0QZis%#$9b}0Mm8gs`C%-1$tnrWt`-_Yk~DlQAc1VlFVC zPXSfqfQv$stzo?}P7IjH9!HREnbCeS62w-Yp`9`Hi4{*ehv;_=kaJL2s{lcLwbxmC3oGCn5SSY`o6C~<%`?+u8!UGhL^$jb;0ifs~M5RX>{BRXm1?T`t0_{gU_amzmnj2WL;A2iX zv>m!hP1ka}ODHEK$D%ec)6+CxIrYU_3P#zr$HE*8`^;doj+w6+ zph(T>(@+eJ(GPO_KF(GGQJ`PPq3~6hJ~6~$B=H6X>k@^88o;!8%?kq;E$73E70-=a zsKp=p6DiF%IFuGu&rXa>QmP)2w7t zsYe{i6t0e*m+CwLfp{a9J)Bxpr%2o+y>WFj7BM!?7 z1O<VS7Kp*v+aSbT++!SGi9%1XqD4V~V~h78#D2 z??}sFZWMONi+6lhT&u>pO^|DWhi#JF7Oh&n{{vdFghhPNj37D@ap60dBTH_Os=**x z&ku;vW_rgRo;WIK0kc= zP4v}EP&+ZKXlQdS!a?~_FD7In86y*IQ@E=~!V1j5GY=j`VWSDgK}B5EJgW z6Nf$Si1_2U*UJ>t{RP`J)VKaDTo|OujOdb9>9j1$o=R#gXCf4J%&;|M_Wt?9v$K0gsE_^WTip~Qsa;cc~)ppP__1 z3E7Jw)*+*z(4=`pL*E5Z=;r@)xxzm+_z^<^9W48mCOrh;#|{CwjScK&|L$;xwpS62 zm1bbvItQW3qRN7&el?6i`NL6ypmvf-&`D=-*)Da7QKNDyN79w{YcLmhi0{TRzAXnO z$0Ma8E$TBaSrB~ETQQ4&YS$~`;epA_qiwR;5Sh4q;KY1j)QIt#B2-MBqGg&GNztWi zS|H;zz^{MWykWG*yMPwh46)*mYH0`k*7VXUL3tssq6^`Xn*-Z`HUFRV6D(XIJbY)d zukJ;mNm-C-DWF%UEV6wSSM`%8_ntkw_a*#4+n2v0uzurd{+V3A4rpnuGH8NNUF)YX z|A4a*hL=l~XpmkejYkOOhl2hUCIU;hw0+@ra#+}5(BNPw`*Z(>RkCPb%Qt`H?Ph$% zd@nd`F(Ie>I~~BiSjn9k#5Iq6GUtSV^%|)c1;JlgJY=ACVBtL+?gbj1?`uhh`##`# zrk~-d>&zvHZA~<@vHfgfppVQZz9hCYZdZ{&FVGXjp(MI{NWmdEQ{nvbC^OB_a7pW- z$t#|n-! zY8yym%u=iJhgi4)W)r3^3!R{|9T?+P?Klaj1*SD7_mf}lv8x?LFhJTB#t<@tovQ3| zK~_e{>u zkM^@+LjD}9>XG;2PqaVhn93g=y@~Y_V)}6`+GV)tk?3{Tw&G5~MA#*R%>EUvo`Z%$ zZ-*m;=t9f1nV=8l!Qi{gVYvCf>2p?CaTdNFtjYNzYo7cxSE}r$43etUQr+I@Ny>Bw z(T57)BHUBMCyQ*6lsy0)oI_gKD`Z>Hz2hF_5t)Us34WkL6_7 zC|-3yS-1$DVlv$&;fL@71|{TFlQ!_cpC##)`ElT*%)4G*^-^mwy5@LKnQ)v9`+4#wmW_r!( z!|~*3eEiV&n>_Vm?1J5DR;9IPN7?@#;FS~QOfY%{yZRtX;eQ)G#Ahb?%=e%oqE;nB z^;BJ%j89BClSVlh;{x}qO*o)HzaorW*OT5X2T=*BEU`ug4nc^5d zg)uDszb)-|H1F9iF}A4F%P=%PfEtJb-<8+4o_uIg8@$ z5*ZRE=MT6V$Kl((ZmAiH6Re~Y{R-x(>WWmO#}DgMlfV@>1Eag`xi@8tvEc!R7|VJ! zW~EDcfLp$rV8unt$d`BN4ldPWQtoci**xXchG=-X))Yyg>EjnoDGf-jJH2%fwJJ~3 z)}w8(GBTQqjks=Xq=SM7> zn29+ElM^%&CJ&d)|3XU!ME|#NrnjydLzy)zvSLYoID9~9PLJa}ZjeUkEXKG@Vw{?& zf*CH8kt;^%syfSg9Ih*mpYo=e@+PEKi)QB}buom~5H3UNabf>xK92a-wJc#~*>-&BK!-OH#$*eYTad(W?AO;nWQK5Bs zEc$u1L{p;OsFL!E1vNes;QxA)H@NwWw8)LuFi;h%$QHLLEznGew0x3*v`7yt?2!y_ zKx@9wytZN?G1A%Ke03CS6WzCRCGlt7Zxw8Jan6HNGrO;)e1m zK!YD8MY&8tcxt4bX#2I4v$Xlflw6mGV2@3XG^#euXZU_$%aOEi`ceod6qwXdKQclm zb1o&QVlw67GNFt=?hL8Ii_=e<|II?aV0Q>qP>g5)*gyVBZQnP!NVz=uL(A$un;)caoJpJw`! zl(WT~bt|j7$dbIfSv@vsP^I2W{KmM5qD7oaTB5j$EQ$H&$Zofd)rQ{b7DWw~bbp>M zF>5sX1a=DoPT4uzdw_!|;98<<(5jX#6;!3#A6}<$*c{z4&T^mb97hTdB}*2y*Skf=QYJ#-E#(4W?xzWfJr0$?{9w8! zMm{hMR}V%G`rs-C`8C@))+r?&StCekA4$*9I2GB(=UR$%Jpl{$OUHJ71y;x;IzF0A z%-MxNx&H5gMS|5t#2Z?9=47xDM}Ara^f;hkSh^lKXKFyusmYKIY@N}a5PLLK#ZnN& zSg%11Zr?dsB-7~lp`MhR`%S;r^B$iTWxjRg=H592`a%I`|9|e@Ek=@LO%tNK&jSb~ z#PY%eXq?uW6A_%u%81B&^~{Rws=l46sxG>!Pj~O>vx7&3XM|UJgh#taWOg=6A$Wm( zTL}r!faZl=RziS4NU-q0uHXqImKE9uUf9PO2?=p~;j&2Be=)P)%*`*6l|6H2M{}yH z!rkrW=4QYB|M!2N>pW~q1m4N7V<1F$R}YQ>AbhL_>O|_0_xN#n!-#IE`oCT@`Mw@# zr~)1`XQ=G;-?X7JezF%2q*nOi?KBFX-q#N{I*;CLR}hFDQzG?W_(=_ekmHtid46o_ zMziP6B@hZ`2f78DuUqwEo5ia5RSc{phmVf=7VzN7g36bR-}(vQe8@lR&cVfT0d;?128ANrPoVJ7Nc^<{JrWkP)1)((gYa9YAu$a-xm z)O_%lHsIdl0(zCs!uK2OE`Hb=)B=mjIy$riFu32)8V)8uEFgK9b}7)!P9^++&P=V0 zik`!O-WMQq2SyA$OM^Y4SGpubzNA>{p)0nBFM}FLx5bzgHQ?3Dz&$u&Mq?m40uQVQ%C;BNm;JE-PU~Mf{u}Dz` zDGV%G9qs2^(vYK}_;kCPqi*}an+A+m*AGO~e3p;_NJUma3Yj=9e!CqW9UkGI3H~|3 zKhN;b8UA@3^%uJC=y7xnftSmZY<`<4Q*{TLYDbhCoz%_XD~Q7U4FfzdCAks!Rj zdj0UvC@H7$T0=XhqH*eLU!oJD+)k%JIQH$g+w-$a^&y;|Ch+I+@wxit`1Dl$eSCQG z?e=(bJXC*%(EgShnM3z3eQl=v3^#2maKlE+>+D>;OYj^Q~p%1-I&xqR;YbUWEB?MRV0;z z)N#k9Z_zb4yC#XdA`>6d>6ScKd`L`!ulQ|BqdE#&W2lX)Cpp;~2Le0X7!M?lENE{UV_ z(<68fz!a(85MFIyY{QieZM=hJI-8+dSqf)k8u*ez1$G8T5bsk9vI%ynV@)NYNgs8P zRz)-IY(aL6W&q|$K%(s=F0T@@OWiZNaV^k^Mg0$e?(hR-_c}iwKmbWEEF#;nRg%l* zu1V*1=naK(9@o%X*tF^_e0W8M0h!-bfB_l!Ie^b4uYG%_8R~l|K_-Xvm2^Yk>&2AH z)g*>TVL536rlRl2i4QO0FkiCjLA@ay{#39roD5zhnl*_NvLM5uOe$efZp9>-$1C>z z`wy>@o9x!ibW@b@lbs&HNf-~e8cN#R?+siXR>%N@gmEr6Eg1%S_t$al<`}BwQbG=1 zbMRfQfd1Rzhljv&0;%WQb#Krq3(|K7ieOxq%!%h}(LP2<^~f-rOX!CW`W3}HD^VS} z7SvxPK*r0E9FClAi%XpZt)>0g;mnupBn4st^gAdk*;u-2c5zOYbji;0?IdHe?v-U! z==~xG{mEzf53y0()M2;Mk+#+a;`|TaqSY`QCZ}~QZKDgwzb&I*Ai?-iQQXd=*Ezzl zl9BpzbTW$YKSTO$Hj`=3mG%e#v{rtp#Ev*Y#E7PVmkgKN20cPZAvpnF75vW_{)5}a z=)s&e&Hfq*?AA_%Zr*%y8Ne~0X|osyqPn4Wd!X4hU_bezN2AlIKN^k(D2Ol| zIk{!+XkqJt=`tVz56qvf0qNpS*`15F4o-WIm_8*5N;Qf+}JQFEwh%^YErNx!a(l;Kx8Rj;zfqrQYx}4<<9q&1vLbDh_7t z@-y-5AkVERfdu5h!UCvF-PgnFa3-(JH*)9&Lp{kQd>fO5sJp1$y1Ki+hI{T@AiAxW zTO6CnVQo^8YBdjlyfRaJ4w36PftFz6cPCa!Pt$IEh0Z z1SwASvWN?6huyEz)`0|Go1!z^Zvf&{xr!Me9lj~HtXSY{m{xIP2_f%c8dlD3LnKRdK@hl z>W}48{Xs;W7qd58ln@{aNVv_O_ek1HEwt!|+0#y#J+@R)1l6h_`NgZx=7V>gO;+d1 zdVV)b&o1Oq#o2`UWsUdn;M2NCsx<|U$G07*X+)ATL;%V-o2IioKqmYtm#9B>39<4# z8Xgpuquc%2z)rJSa;erDaG?;GWo|E7xx0`z<4MJnp%)0<*ACvMDV^(Tyc&9MKY-vA z_$7ob5cM+zAPzK7W_Zn~o1B5DGg)B?MUTd10m(h9c&e`Di)?_a?!R4O)4Nntgt@IH z5B5a~ukRB)2PVW7@9bJu<^qBaf(T1I*m`&eKD~OS*2LiyfqT{WK0}pVOu%>)(J@t` zQbZ~}Y#4lYwPUl4u5P#L&Fx2f}M|VmF$YvY~YAK z8o#d37dfwCP0C`v!&+vTGq{KrTLY^Fi#MsG(YB4D+xk@@2L8G}aK_FMYX?HSp4+B) zLq`!{xCI8JEdC*xtkNs(F~TJh(%{mf?f_|9NrPenDz(7YJrCLXaWW~0AAP(RX#(`S z|F@%xkDEZY(QA~<2j9_4b8k5x&(rJqF{roTVmQ%iV~$_qt>7=6`}>e0J`dhs$HB5* z+!7aQ2ban&Y1-XsCU$nL7^>Q!hecU}`?Vqg<3p|Yb9`*4|E{tXVt21m^#u0~+bNt| zQ~PD17>rdUM=2@T&lvcaA^&?t1R}&GWL^9_Rfbi}3?`~eRcc=>W|5^E?OK%vZ;I!; zRR|*v5vZMOWT@pV;u1R5287va0x#EBkX*G<2hoK(iY>3#!8EVuun_)Iy?tc$f62b8 z=f8Y8s8TUGwkAFArhYl%^t^I^6+_lw^lA|oAXcy!efb<{#f_>fGR(igUGg*W_=Tve z2dQUevagCyRzw2|(?6;RfCnjlpLzj!&u4iKD3U^JZy0(Ps|x<&-f%**dLny{^kDNN zT#H`q*h_=^3jd^Ac?M3XbM0!-65%gG^5Ct_(%f#?pn`etZ)F@%D+f6_bG$xR4kN*( zT7>Rqx9VM}88`-qIRa&G@_pP&Qn0%Y2UVw&>u}O+>dr=jnS(rFoDXQcO30>8d=~G& z*JX~>X~p*lqH)^WO)7rJiBaWD>-X3>gA_}^k`^Xe@(dHo2<15?e)gP!GpVY16P+Px znm@H_)#vXqy=ok#ZPU#KX%XyDBU|}a+NaH2%WtE{(KyT=^~-wqX>gwx%xcPXztxV? z(ed$NCpW3_jyhkwkN~g|N1U%iqorOXF~&EZaK1H?8%(zd$5PK9VCi(5rxgs-24#AC zRq}AWKg!6fW~dPPnzZ88*DVq zRh3b%`ahxE@7vibL1)*8d7dR`uA0S%RG-w=d zAGIydbtNs0Stm><{$n-dB~;MVh`T>{w^{N-M{VOx+{ODe9FDZN=i0>cp7P&)!73w% z=DB!}wCXy9>sWZ*Dr61xW;kb_K=Rk(H|&vrJ5W4zt<0!o;kgV7R^hFxef#VTHrvvC zo5e*W+;_A!xfdwM2{u&9UqDh38Uf!e19$H6ZFX%x-N14Np(9|>>e-M%etB7nYWb&# zm^3O$R~($z##_m82^xYJ6x}i#d!jO|Vo^FnT{ODs)_|DQNpl`02@Z9V{+r z()d~R4OQO#qfU%n=%1m1X;BVV%*@a7<0A;c*1R~ndeFGPOxn07#^IGG1L`ljlYb6s zk1cOOF-hUwJtrO|ok+|JTIB?FnMl3ELD?X*^c9>9_M>NHX6<7P5rb~e0)`h7j)Jbd zTcOBHtjkGE4YN5jkxOcd{{~H}WxRHU%e|Qp= zEIew~>}nXDk^hcN;nssxm2E7TEN&T21o@Z^L(pyup?s1!;>bhpa@hAU%jq(`jHB)T z=rm%vS-{%{V|)Zg(Z6b|_LgI`2y~;!2j$Q~l^Uv`Yh0!2Ty59-{=Mi;yau?tY`j{n zC@_!Z!wfarqpoK@WFqUZuEzmW0cb{jDaSLY;~)$lFuYU@_dM=W{_69q=U%t3;4z*! z$T-jz3)xrgp8lH78or9sOJ42J=evup(uHRE<*IeavAb8?65Cg_EV+YNUtc7LsYcVc zChaJiYVeqmPT8*1etjJs^<34wezF-jwF}Wa)t`?bIlfp$ui@YQk6sVF70A=ZLtnY$hP z>IBOKxAzet>6-GMHw!PO=8;RMK7)9@Cq^h_H9KW`UxBqCX>l2m21it!8tLY~8fkZD z?=q;3cE<*YXdqTYg#X6j?w%MtyNfayjV_@&lyFuLNM_CsIE|+h_*JAm1sSt0vTXmA z`dkpxQ6Uov?owUTbi^UBT8ovYdg;khIp5}G!Z?4mkt|F;oFfrpBVXPgeS(009JdoH z=!A=@lh*NSYf{5PQ(~>g*(& z*mJG}3~=g#@ya-wC=CRIUh2f-k%jW- zuCZ=UM0F&&Qvj^ja>Mp0wHmMWklak|kq^)U`hGi!J!RWT!%p~tBQ%Wqx}6&_E0UXV z6C7ELAF%~h2Eve@$B)&3yMOb&PF|rpb3}&1D;^>ZO_ClWwEP2JBE4bjiabZP_8&Px z_HW-m`u2UCh`1syinvVFkE-BB3Qmb{-?xW-TPMWXKymFl@!U)P*2M6@yqL$U^asb* z|MvaWy3ADN61M~>$&d{qM!e3sWOrQ8!L&{aT$ff;KPx(R2zI`Gf4rK(U`PYPIHm9l z#`AS3Z3`A&4_5vy>-Fqg=al+8{0IB2I_3^@dMVs?RVSA1o;8NdF2;VXx#}P}izd2* z{6@v{vMzEY@U`vK?^O$M@`Pw|dBH=D14=zpb$ZEHg2xnYvT=in*IJpb+;UT)amjuA zez5-Pkiy>eOA0h-X?1K8=QI-d5ge*;wG(vMYGJ}EKFM#@R#JdL$Hy3vq}#X@a7d{z zhG6p%1sO1>ER1;pWY3wZ#h`~6#f|q2-*nIH|m@e!)0Di9urgTg|L#Jc3#>o_w8m%Ckb&BfUGR_AMG)@oa(XyB!qB$-^XRq^h=w7 z7~RuqT-dI z&VXtqOKT_i6AU^QnZp?9BgAUn{Z=<*z*LQyjPEe9G=>wWzf}1 zSAto;Tqniu+vx!zImt~eUxJhnhCS>x*`ccG?rGapOb$>Aw#6FL?flXC`T1{0>uo_< zRXibJw1h&mzkop#P>*M}1q?R3?qqr=k2dd7Zp07AA82_5C>nR{4E*}Z2EyIc3GlBQ zL=#kso=eMwjuc(S5c;x5j?vFf#r1dObjz7K$~~Q0d`$xh z+(7`a_?WUn9;47^f92L@#MIrvAA+PMRw8dI+ zKsBpUa2Qu+hrZA+2bN0*p=NGgIRF&Ipw88a;Sz{O->8W+&u<6DEzbv@# z)OaT0&z^0Pyh_7IXi2SYqG43W)erwMl~-KerB|% zL0tiR>NJjy&U>1i1^&wD9Z#(t6ZI-IWn~yfEy&$k7|KjK^Bxj94jO$9b4m z-08AJm+9=L(ODx@xq6YX}(pKm0G)0G{cjK=49+;~r0lhBLRZ43xf%y67y;dodZ zyO3+Vn>48LEh zuuo2s%}tW5=usF}dRQCDXi^WlidEZUXP9t)%cWf{qjBWJ-1RMX@_1Q;$$#zS&l0m0iKFt|xmuhuvJ^y$I#=Lg@Y|C0$O&b#hF z%3^oFjZ1Nf83XFA1~iz(@eTsg*OjDKUt}BMS<~ z);TVMFphSggD0-lq$=c*_Xm}Z;feeM7)LrrEN07iKc1U`X=~l zhFV|p2D=yiEb0k-irV$SH#q_B$e%@7TtMa}c+%7YE?C(hz#43U;9_&@rwfg>&*JNJ z7L_RkY=5Sv>uszCrQ9UxDnPgvRhDUk8P%_b5-i|QIP1)|_EeoL@r9BG!l}{Xz_67@ zzL5g;mbi6;jD+y{qk^>lB5eV6jO7N~f^j zBr7$rC{ew=jL}nBv@t0YLCik%L#MamqScJPviV8D>Ga2aj)$`RMkT$z%tb=9b%nva5T{Udth{X<|i8!EFGBCoTzCg7FUh zJUV`Kdd`v{)CyvjWtW$hvjHA=oE^PEtz||;x46<5>C8F9qSHeCSlN$VJL$K;{!w&6P)*vb&!Z33 zQm=mtswHoPrZnoW!9Ezod78b{1AIDoP6+blJ^e3Gl~+rcpLZ`n*zlg_D+}zmh)zgI z405qzrXp9WJ`F_C#MxxK95C@;Tv}jg)8hOAmFx2Ka?;Uv+gwYKxpX>=gRf#jgLuz! zkrx{XFDAGy-~H8)Y@Bd0R&66_ah7o6MHevyv(q}eGIPF0u83TVXk2Y<>^W)19qmaz zrGnmWe{^>IoUiD8c67FXbRNM0ccv!tyolFoR<;Bd4GQAXIs3vE;E=GD z3C|2&;;scNQ*&ek;*4{-=b54D=$|ptbgnKP9trr`B3)}K1nEmN5_26C=qN)47Pd0W zZLYB8vc((N4{I_ znzo_y9jWUOo{?5~AF4_4p9qBwPm0&ig5US5z+Y`!kMzRcg?+BAeLE>vc;k3Ov>}leC^_&?^+m4&{2}V){|=eI>_Mgs#}y_GX@Va1ExXBQwiASg zse~+$(wS1@bqVg*-J3!(PhPCj*w7uSg&FRt8YfdGro$s#vdA+w5Bc_iR;0lRn{hUa zuILS()Te5PN@k0ADU{1@$+4QHMCgq_Ia;-btwfF2j0G@Et%BKmy`4Zdmp(Ajy3ATa zhW^7?3AO~-znq&1Bb8dE#RfS(Z^!yb_gg28NiHED8DYI(B1Ku*Nz0NJ5N70t_q%{x z0^3zcY@@c~F85`NY2>)c911x@vey-#6yT=|CVnH9$P$q_Ty?DnILDnhPxLM#37`80 z3C6ClK_C~|-(P77(Ya&6h&eO#6Mxk-SqhAVQ*cYpk6AMyj81RU#QB1Ge!c#8gIqGFWeF@I7M=SFEa`+PjJe~K%Ff9e#oq*u$~u%a-E**8ipmeNiBJesO7EQ+$QU)#_R3B&X~2p z0Vs71sK_c?96k!o700-9b*NT9A2Z7`bNWeo8ObT550D=}y9b?2h~zhvOz>*Ef@r=u zwU5tQSYp(2pf5Er#kk`!Vj`GbrOxUP{mmpT6wAK>bV=`qe9cVMlJx?t-abnUrC}a5 zaopB3tH>0y5dI5J@yB)4DlVy%^ZxXyQ*cY+cRabJS)Ra#4M4~`af8Q9Jd9W>~UVV$M1 zvM$JQ@^P#lM+9ZmdbC`+M(nG_*QP1$;9+l|0)Zw1MX|LB|cMS#4tbaQr0AcMHK$&7G{4}p9HoM z9eb->kID`FlZJb+ONHeoSB7GsMsdNZ(hNDjTV4Mm%@W6bsBc)Qf9=+!g*qCq=@=xO z4A7?S6taLXw;343UVO2kXg7D^b%oW>INB;l?gnZ1Ci?5Mhynxx#T<^1yLCA}%1yKO z<5U_r3-HQa<(7pHROR?5v!F|-nn-Tkdkd1!A)Vo?&c*=IXRT|Q=1FaY*OTuw^REHK z(88hZ0tw`C$o1}Cg4FvgyJg?*kvf!4)c`>XC~zC8LCaEbJrWJY-8DfO!F{l@E|-8J zBpufEjV&?HVAdLx^5vsfkGLrL0u45^T6%C}S~CmxXNKub@4s9EoP=Uz>DMRpBF{o% zUsQC$WRKs+5NCQE^}re1<1|G$QIX$ZhvR>f1fVK^mMkru#?xe(PvL+tC69o;@`Z5^ z(4x&J{R0SAs-w}2y&6tpj~oW{66mM$!h5XEK>z?GA#vlzE5u0SeNdB{UnpPB?u5qj z@BaIDIswu-za z&k{93;jFT!j^5y>)4>BYrPlx_UvKL5UUlFI%*#1^(C}mr5a#?rQfoHx_e6`%1;QPA zTg{T|TZX!CXY*te!MeEttyaqT_&!~3Ar!xYOa#6q&derhs77=z+wxGg2rL(+mL2+$ z83b40g>`FFCwaj5LF~V4;W&WYk+stiwcan&4Tab@1m{G4KMcRAUr=(XDYbWv2NzYU zt%$*|O{iFkE^Nq86&Ko#30shw;CRP#S6;GvgA`u$$?F_vi>lvqZ*D4jh=(OzWubnkLvVjw3+ww(-WldD`uNL7l?(#B4=MTQ<2 zNX>Qq=AG!Mrs_C*t2O|&hhoN*+QjCNeJab<*)^Uk#SUBGKq5{TjgA#6#CH(1meS43 z5)(@v;5(_F{!6-7tz?7NWb2Mjm)c4$*bCEEQFkAVgbmaV%`T3ZP6gI^W7<40P!UT! z1^i^SE|<6UvN#zb{}&}8Xway1w_77LK;~|qU>sZtw7T0YxgV>$XEoR2TMTdkATFcx zvvCKVgddv--SkBJ**y`ODa7A0Wt8~d4+H%Jj0eI02D^nk0~r*iP)eX^BwzSL;vSc} zqXzv?+M-Ulr?TW!igz<4d?h3hbW~k+QCXW~3MFp9oprofbRr-J>GL}BakqJb+#&$~ zb)5G)RYKK4liSDmhaDN-cCn?z2z0oV{uWDXrFtU2N?frRIHN_B&W(mym6xwnCkE9Z zLAOX29H+1w)umDN^XT*l{uoEU8;wV&#?FHAvNXj8$g5N1oa7I3uelWac4X1l!{QUI z5oBf>@BN(3;a&u&Z`0uY6G`cL5J{s1R zz6KXwrPuJQe1upYN%7bKvd#5D-LOE89p3Jz*Hy}pCIrLLYhvnjT-K#iZ~fu}OWQrl zXBU#-%rdlO0N_GKYQ)In91%+u%uw$esgg2$EcaF&cz4@mu_WFSbT~3{Yh+ds0Ma`| zi0lUVRm_o)?t&!>xcePXb>Ovxyj&YT3#&rl2fXq1{ytvc2V>^<-8~*%==;%7$ANu@ z^#F~zB|w(|CSqa0mciVsq+6>k$1E#c5d6ga%>03Tw3-87lb{c}E#hT5t9&S}dSC(T zoon^P-eS$uec=!?de(!hXTSx1eBsk~+fDepp4tzN)VpM6ZYYR}Yrz=@S4F78TpAT{ z#gKfPHj;Aqy_@-(gvUcIJ;WM;@mjZ`yo6uMWSQ5z-yID@Ru!nP9JBvd zDFkrtJE*U0QLm_|x-ky4lN2S?ulN`Ee*SApEVb*ZCj@&5`X5fH%+r4jOl22_fhFKJ z-Xd({Kw5iJh-_c&3LS-nR$Y*K%Ve|2XBM6Y|AInj@4O{P*kuA}M-RPBw^}FhCYdfU zr)i_Jgg?#K{{Mf%S6pKOR`Ygr@(ULCb7%(L5SoTOhKR(kf;%Tp+RSq ze~9Q|%0$%9nzhVK)Uq5tW5AsTo<*hO>z8B{fuvuX9KQ??)HCrk>GMt<~XIg!LXACJ9V|HW6k3!Y0 z->P6c9AAXYneZH|Om1@0hDGcL}x;CWXUUfo#$C|a+yS2SKK9B+MbNd`1ldQ_E2$%6s)%6G|hChtk6tXNG%&S zIVdi&sl(0bzi^aMujYTjuQyBWSc-fXLszT})ClhJw>S7L`V|fQuSHrv{CucYNzAhB zXm7-60qF`@tT|y7NatI+tXh;WPFWg!M&nglpIoqIp4GI5>_9Kn&%%6Kzpr-yD~}Ey zZN67aNl~QHL9{K^l+Uxg7l6bAv`BNuxOtLtn54z2)4$2=B%h2)mj{_|W{g|SHw)Ld zLcfK|zaM=ygWs3`}=YxKB7o%eg(BVCkbK4s)t|FchDU0fJ# z-Y^8sE+TQ?gO36z+q%C%fIObH%K5HOhv=3GbA_l;WH zlg%c26Hl+A{^7`}u}CHuDG1leS9#s@>(tN6T5ZWp%VY}%2caohlQxA*)>lQrAK3Um z!9zlbjr5X2K$hobwYmk#GvI}Y_JDf&S}jMAxDKxQqk%`L>9Mu_vK|p_Z>%J_s?Ssz z8tUMkWHV*im+Gu{cxoJx!pYK_=hAL#j={-tM7W3l*a!Z&B3H4-qExWvl`s?sTW|>w z8crS_TOxz@3}~qO36pE2K0+Jd26~mOH=Har!VvALJ}H@%$#Q()yRQ+muR&s44~9>& z@jAb{MTUz{^HrX0vuyy{BXEjAc+a*JQ*fcyaJ;;WqP9x`$Eb5XHk;&9nG_$*)bPyP z;Ws*GJJ|$zs_Dad6nz9V#c)*dFOv%f+{xd;~jUq`=ss-K}F;;$`F zxTDbiIh_Hg-V67k0~D*Mrh|P&Gbk%f>IV zd7@jT9}l9F;iJ)S<3j(zdpjiHW8je1xJ{m4QCdVbDqRC{U*tuZF!4@qJrvSlAu*D?hz$QCS6PrEn9bMJ9WHQ)}k2*67B!l89AGz^! zH;ztlgdLpOjFS;QP9mlUXZVjnJ-A#e2MU)88mgQ4iWYr+a(8@EV3TNy8w?!mS*|ve zNLI$6vQ0OO(vVlHi&6iQ0nHd)cr=}|XLhSzkBQ~zsQ0=^e@L{CRj)NPKks?=|MFEd zQ)7x+OFxCr=db?+lWz4vj@<5^(DqFd!#SMahCYAyCdJpj2{tK4@W&ziam1e!J}gnd z^vfPPKY%W3waIQ>f0wcoR+d4vvP$!OrIvS-HF5g54(R!l(D5q+CVzmGe9Fw&iNK`yMtw+ca?s@**ai7?7`>@&Bi*f@8knSGKLZ+5j4v^> z#EnpBKkeZT@zU@Sua0DAp;nt3XpBs83o_HRF%ifNH`4Q=!->zEA=WLYP92TPgzH8p zzqv#=J#?m6;UwdIk#VabxuPLLGnU>LI?L{FgR}`Wtr(hi-;t24@|^r5doy}z2YNj>8I-=38W?P4rtkFlA2WyN}Nzqlj{THVS~Zr5gi2+hU4}q&Bz61wl(EVE_!xoKgWOhh_@VJo47>q-Odu zH`n)~%|spM%CtkajEKZiHoA<&;x9eN3LN$Zo)m`KezmmGFmkI{>>Wrr8QBW z>7Q{)=T2k76p=dD!ySs7bhy>fo#-7&{Ha7Z37>PE7Mg)c<8TE-`~Q%Y*xQMoHu~^e&E{i=%WHAXHejy zQwiL)yMR4Cr!&qssa0ip;jz28iw!k^5hI)C^i*aG!M3V*0UHR`@Kn%<>NQqv-+0f0 z1(EZ0X?7&1(;ZUjECAw#gLX_aFe)%X9thAK>_gYmHK4~Y8DSGqE?uL#=TuSKP~H7Y zEQHcd>>ZE~Y({kL3%x0bhr5tp!{6Oph@*VcCV1kr{b|vXAPF5}^(xpDdc;#{F}fv5 zQ&Hd&z9}@9fMvU;X@_NO%L>c+m#=(+^Nxh(7f2Uyj@mXFAy5Khe3N9EZK&b2!}hHp z>wlBztyA6oLDX9ThmVU3-S`9%*J+l;BF{@zz69513{L(WNJUY@G>JD`fkEX#fI4!u zlDW`RE>caxUl3!UI81t+Pce(8*(vzt@3pW#S?tJ#$9jqvB&fJUM(doHsSn{*N!U0* z;@t8X5XfzXB$;?M>x4eaB8RQ!^AIU8QPv<>HlN*ArmyBTYgf|_yG3Wp4@TqThlB>mZzR;k!6#d?&JG~$=tDkVF-pEW!B~Lr>v2F`>^gx1HDDoBf*|`sR zMg4omZ{(hy_Exr8XBa{a$-o;|M9zIbVw3Lv=DWnd*;&CSCjcX`O>dW#DK*)qnStmd zYM+Ro$W4E1mP!WRZ(-fgSoR9t-G@ayS*R-al~JS?knekygaHbiK=eYw{wuiy6fo9I zezvbN9)@916AUv_V7HXf zh$4WMI!6|_`!{OETqK1lo}WY@hn@Bf2@Nse_|W|71`uUJc=VHM7Pugo zF9lV6PL7bSM}4Z%=PR>)W4u)4LRvEy7hrG2aq`{gEgEg$@;Tj$&P{IB-M>fnu1Nd* z!lzgkn}H|J?WgJj4@t$w1hjIA6eW5>TNju_(vWM^n%E*hDy8#WgPCP6Jy|{ES+Py4 z3Bwpyo=&T-7AvSdyfSI>#5Xk$!lkB10nbwNsHFc0JSqKic5x3;Pj(vxcu*9q*;D+Y zeO8qn3-6Gd+F^>_{rm5l;H%k6Z772=w3x?dF* zOpK}6+jRPc{1!gIB9`Q~#puppXApqx3|Oz!@YX)l%85 z7X<`5EQ<)7d6f-bB+1IC52!6E&K$&-EFVl+x@v(vCiR3)L>?SkepUK5o2E(h?daIhK-MK3hGVcRypjExy7Yl{G2%ZB zvKDIE_^(eU)p*n8UT@7N{yfpB$J*o{n*O@A;ywt(z{D>A$~f&+edsS2x25YdcZw7r zvi`Cx8zb@2SZ(hS=ul)G!VHI~6oWUDA42EXMAM>@t0UohY*_OJt~9 zCY+-Om>!;n+=|sKthvatCT4m`~ zqCUJcI)nc5jO+8w;g_L|^6*Rdd=?)VSTF&<3CU?rddHxDIOq)+uuAU0D4xwyUWe5X z(oi#RtF~TC@1vc|*_tX^Z?NtJ@ zyw=&oXLngPLIz%h*1JEbZP1<&-}Z9t(kV56_B6kwMKKCJCMQ{ajl-k!ljF0K@mbHwO%J+yUu~7yafw8B z>Bd>N+%IgFY?LJ-{IdC~$dNWWkJJZ|t|^BA-r_vpX0vFW8i<(nlFJ!&QC!8VGA^~R zTp+Mg0$_3Os|fesAZ4D_J6}U;jQpl-cjzkET!x&+5=1|Le(?0^0S5ogqA@-=93Bv- zB_A`&ja#?@zQ82}%B{RH1dprw7H%7B8lE2v&!DD5Yj|55)Chl@nvqIdZ7OPAU%U3| zO)Nyq+v*&T4#vabiC|4uUCAIu;Z_F(b950daZiofxa})CKKtpV2;u-qI867ORGp=I z`@K+;*hH$-iT=kQr^36#ciTl@%?I;$K#NujDzWQ6=TFbZ)?y+ z77ek2^AE0*NIKsGhhpzRC1cdPJ5#&LWgJ;BoFn&$M(RI+(=c?P1d5AZ1F{P#F+@K6 zKyM%>Y{KoMYNoM?!(�sp!eY=fR4eq}QpcPUmEOF3jfUs(h3lp}F+0PH;t!;3d5_ zlr&^`$+m!1zH}{gGiq=%>=NG>q zu|E*nq-oz`1iRyUP%Gj7h;Eu=o5a4uP}MYnekQWw9O&O(C7BYD_yibaz<@abiKJ);sSN4%QiN)Cxwy%3Mo}13X8OCW3SR$|qF|ocB zfnaCowcJK1Ap^~iD)WTTl=3E@qNN*`;Go{9B@Y*RaP9X5jdk~jy?p7bP1}Mr0f1`-sAn*cZVQlm$)s(puSNG`X-9PhgW%GUEZ#ke!*^*~s$hYv*Tis>2s4J;<=`)19c znHDgHU@7#&a+N?qt%ee(CeX7o5Fj`5%1u@&9HU15!Lv49?8u~xjfW{`0b_$dy|rlFd9o@f?kg(8JG?64_%PctFGW3JqNUALpHG5$33vY$;e^y8 z7634-!|A0O4|UNa=z8(#vnW=5OtuBz1S9~hUg8$%4J-+iW>^%XjVMKcn;d-+5C?^p z0*ZTqY!lw7^necM;`NHw~P*FG+4k4wTq#Ile*RUA_o3*?+FYRG_04}fXEV32GC{{SOk5u+dW z?hoGEmG@k)gN~f~iug>3yiG5{ry{h9jM@x7{%LQd)b;GK^2r&L1MU8l$5%*|z8|TtXqn7n9R*ePL0TqTolhEq|mD@2!%k4}TU?;&#LZUpe~!v42+e52U<@_flU$NX*D1E!a* zRTrQdcoMH-;00EbozJ+>SUaeT-uaJbUBA*$7~V&%wpEaY`00n_^hGPX1PJORo?e0S z1z&(z1^i_43&?N`FRo;s((AQBmG)k^;_WeTnt(143UE<7)i;PfG&CWJa?%~c3aGc( z&Q<*#M^L@|9-Pi6TVtA}PVfmYX)_Fs<6f~9Ts2f1*wQNkw-j0BDw)!*mIC<}9NS5) zy&I-Rv_3K<{SZfl)jW=_mF1Qhv$77v7U)N1IBDV- z3FuQf38-QC&KXTHe)?;K6C5@S@(6K&DC%d(X<5EH1DBn%U@{sdIEqcfR%`(Qh6~;` z5c63Khg_|#6pL84v0wYPUmiBx0MJBIs~w(Egwc96OozQe^LbdOn(7FaT*7dWI_gi} zFpmm+y7n6n(xgaQ-gW))jj|Dp-f;tG`-5N zjVdR)0j02_6pan+zH%NhKF|RGf-bCC;Eu+m56U#cDHEn2jaM@wK!rK|M~!$IXR&FO z6ef`481XdYuqJ(g_e=K4nbH;Xjq&GgAxS*}AFHxj)!8_{FF$oa`dcto_XuRK*1=w_ zPJOMv$QP}5qeyvljaj{`aEMvn>ERD^d=lGX|%O5hQ>2FISlHKgy7zMbhBA^l&>f;IGsn z4_M8M96UfKo6X_De-h%ohoFg*1!hU_tvAsu+d6ik55gtK&{ya~;kHeS1eUV_9UNE5 zO-89$5Y^{tiCQGzmrwZkQ3L%xyX7dCRA<3B#QXI2 zRL!MokdPK2rhVvw$ySldtfn6TBuxT*{LiXf{CHNbzFj?k`+B-OO_uo-yzNu9!XUZ6 zO&hlR;_>*=(QoUWRGknoUIHEBxlBulr1QD^%V;EC=NXs@kJb8A(lYdt`i!mNt57Ij z=T$^d(Sy;Z>@Q_&O)Ks@dipUwsWX;{41=>u40!G2@iFph5=(^n`S|hZe1AM-Xo_UC zFVYq^3035HygxqKi;hkoYrB>DfFBKuem~_82!A6!YXeB7uF*5NJeYzwh%V3hTaJ-vfoNC7Wo=+vp;iKcquxKV$VV;YA5ra?Yuf{9I`S8B%7-Uj-0!tmO(`@blS=t;8o<2 z2#^nwz#_dCdY8NZ;+`oEeSs4n?4HTs?dHx&>yZP}H+KG`(eb0vSe=VTBgftx;nNVH z)n_M;o$@EEs#cHGLo^%72m<}wDP3XrevTiFfb+V4cJB0YOwX!rj%vGkcJB0Y?m#tG zF8wJItgFw{C#LuF6e`_!PJdk(2=1MQ0Na6g*eg|sz>7FKjV_Z(0pP$;taPgEsBK1W zY%gkBQ^TGSM96NXW;{Ik1Dq$)72POzkB za3dB%s=9}Bv1fV!j%(lZPAqH8yp;u}68suLSUhuh$f!BBT<9~+xK*Z^V73!86n}q< zf+t13`XNBRLBGF6!A^L?w==ldKKpiHaQ3(_v;a8O4_a!w`@8S9uJ;bt$-^eE$)G@I z@0vx{N|%?H*)Jb|%VajOct3RJ+HXq#Yu$paJ433ygB>@62gpcMEB-#w3^@q^mR#n| zHUkIXA+gK+kBCi~UC*4ui|pjnUp^(+#MD{Nnd=5 z&P=`|q@PT(1n@^Xn2nEo!8h3DA32%FCm0|d4NYPV6D(hbn3cJfaa%3php6SKt(K$v z*K+rF-tqT4f0t8dy(J}|@-lER7a=+s_V;fa`qS2_5kw8pq~>U#F# zr3`X#VA_xnOmo~M4=GvbUwK!;u?6Lsr>Ye@D>Hu)?U|kWp<3!lran6hOsQH{GT2^i z>ZKe1N9GTa+7xCE^ATF+h3h-^>R={9!EF@4iqmw)4D zS+HX5)9SSEtyay9u453hIz%p@adi=^qr7ffz#O3Y9;NkS%R@NZ=kXgg5g7#jDxXdh zoo`v1*swb+Eg*0MDB{>V^D0tgTDvnu+NU6EufR*|P^E5FHhb$*=T`RAyScHdU0y2X zljbx^M;%-oaYIAZoG2;#1}Jujrr2yqS+@Q)H$_@FXlz3;daIu#mpOk2IFuoY@d}5r zB&D>mpB(d2l-Wb9{_nrrc0ed^(xphe)*{_?{HQwn2Nyift!5-7rbAn9D2Q9lVRwcf zy>wu#l;%L5HD^K8W{r!+cZ!yz5O1DAGS4=BvkFfonUyOC$2u3(t0_`gj_NB~VWKDi zyvu+y*3ahSDte`pw5^pPhQlRjB_@=_jT>W~M2XGhvbj&5Bs911`1sNINIw9xHmD7wk_0RxQc;(pe%Fq>Ew*Jc|yol1r>TI9(*u zEA6n;6S(*FqpzbYb?*8GX=;lcBx1>GfGdpiW9+$VYw7q;Yen{T3IaEUf5J#1 zpLK;+x28m>p?0`QGdx;>t$jQ&M-1}RxiZ}4+f+y+5?@!8Aa#LETTd7*+!)l&fokw) z%5ACXlA2)|qMVVcTjN^U>x<8a4%A)2#)0FIw%seoBH?B6N5=rj=;Q=YWS3i_LX-z* zz_DiQUQOe8Q>`%Y4lo=3$;CzVTI7|uWVan^KQoyNe~f1EO#<)`cGXqf-JlzomWzF5 zxXrg93Ss=;aRl(8oSkF!Y~Rxb@VX~8k#xZlWHVYZ}aFWj*3II@wgVPkfK=W0= zV!mhnBKuZZ1euQfgQXOHa#)XO`s*_iOZ4`n3nVtmy-7hdN>*?Tv0J#bTwKR#79%Ns zhF-uK?CHdf9ZKbM#b#J|SSJIs^NCKDqx~^__k>fX-)On0SXIvI5kMOM>p0cfW9(Bd zY5)_a8@W8hlH=wT059U`t29%m)Me>%+}PaCm9d`n4*VpiXO5a5S21fIzLBF0PX3D&DA1Nxi$WNGADam0mS5V>?St znQZnaxBC#3rRh@g&{q=C+%pA|W%oQuqdk%};{Vbj{7?L(BdbLh2WptnqJuV16mYP{ z+qs$;(P*@@)804Czz-x2`*R_G5cR*p`EvtuO3#Sa0Ae;3M{7mD!B=UhI9_LQX=me2 zbPBSLr<&(tkplmf6G$;Bmh6Pp{&Sj(@ReIeU`ZF^wv+D(CSX~Gr48(g;Kdw|2C_vk zKczsX*Cu@w!Pe+|o7=;8HQQO`cC%5FY9EftH)?X7I*meI8-JWI)7xne-`3n5x+&P2 z4{YQ?2QezSm|lv-B)L{w&v)B6>MM&E4Mh7BsJW^6q-=`*(ZDFQ!4iHDRYNe>*8g5< zv$@&0jOu*ocA{#0u4l*9d(@o>0r@H4d#^hTD@+g|xI%rx%X9DHJln z1R6y5fD!8Ne;%EX@NoxISElW1lOZ{AA#-Y|lWcKKu6-jrn5@bzCUXK)*iwvQHK#z- z25LX(d@v{Qezl}QSIM*rYlx&2^0iB7+&gAU+`Z=0XA*EE!mj}~uNNObWBaFbFvfm* zP-b;TqAenrVYK~LOGcry<)ZOW6H;i+N#?o+eyBpzCNATk?G&79LF7Z52^Rn?IQA9t z8jyX&;D{Ru_xS=(GGKi5GWk2~N!8sO?(Q|%U@fuln`m^@h=XX%6YmDaxtmpTmpoeK za?9zf$`k-8_SVszqy^4}>N-YOoS6fQS)Y0^s1Bfon&J3)R80|M8qSB><_3>Qj2S&6 zlgj`w$RiU^oQov8S$dt$AYDN}^09m*z?{3Bq&DA*$ae!X_K$`PL5GzUbcsY^#)SE2cezanTVA` zL&G$!Y`VghhaYu3SJjE1j}67xc{n;h(P)l|DwxzBnRq))B5GQu@82ZT1u5DYA~1}? zEHGywM(qP{)=Eug`H|)~nbU%&NyX1+tLK|-^*N3DUY#~Fs}4<2^BLkqgUMn*oWPk;z$<(Gm<&_myqG`U*mm157p6j!teV}@L?5Sx* z1CEsMQ4>~LlfoO!bY0STk0NPogtqoJyH)Rxv(zg?r&^7cd9FS{AX*T0;B#fi!Q8|( zLkSnu7aVW4LQoaq@UVVnlkIYcVaCFm23akt;QYaIgHz3^*|ljY+kd^Lt*52ebtnxU zJMD1SHT9TEAxO&V+2cYJ7Sj9hK)7A2A%GPe=DA#uuw9f{O-XMgA{$QtQ7syT&UEDX z0doel32Z6=>u9!o!~X|;!^Cf!tgZ79-Gi`va&n31Kh%I-zHwjQCh+0loE)BZPj3l0 zF1@-djJ$1V>Q%D2%+l|5$uH=i`(`=S<%>YH4cnM5e*JawjbMB)hiA#?SRmiO{@R+n z8+Y(}@F2o&ou1Irm&`Ht77OeFygYu7Q(#1vpP0V?!XT)r%soIa!y1#_diz=pn@4H= z?YQEgOq*sLc%TC;4>D_*Oav%dt|>tsA#;D2>oR<~oeW4oXJ zh{MTotU9VtTy6kXve99-R72&-dPa?z|C45<)^ z)Q4deH__whSK2-GYx~{e1@)a?Lu3txU#*_tDDd9qrRv85&Lf+i35U+?FwHrgBxsn5 zCYs_<42zt~_&3%_$kHX!wVQcSU1w{%ZXfogRCFO<+ivThG{PMYNU1g1C?81s!1AK% z2D5c*q8zKL)gYgaC@y>Yqu49Z@gi^+ckgPr^X|A2QyY7U<%q-Un2vIfB=agEfreQA zb6YhY>4uOTHgCiU?Qgm#n)~?}1~0jLJuR8%UQHJLxO+`4spu8HTb*})znt?ya}9U@ zq?tH8xnBfH;$tm$%jn_P8OQy zoebQv4lQlYwXv1>6>6rKqUZ5A5$6S(%4jQUXH>HTZ*+bJ4m|ZA9Y@75Mrd~U($M0d zs+w1-Q^4@WF6*zYsQ9&|EHIf#fZ))OrnA`5AZz;K>!p==*>Cd z5k{N*2?K#}4MST^BOR?A#GlskLO9^m8>etC4j^mz`=jV7gdkFqX*4WTkZ9*5YI|DW zAkB{F*K9ipat@GY0t#XInIcZFYLIAmzeP!nMS9(&On_T#M0bT}P*|`w#ETZ{23LTy z9C##!QnvYeWw)p$?M{VwU5gfmYXa-bQ$^99_*g(0P8 zO5k3U(|OGLG>^5~(h{&zItPP~WtQC(J0U+!o<}3-1{-4ukX*tBq1T`y zojD39C{3?^te8aHX_3|AEH!_qt!wfSzpQ0RmzGN_U;0=wG#R>d$(G)paP}u40#LLo z?={IARP)vaWY&;RX|DROzu~(zaYCG!BtV%gKol{?W)d6 z_+ZR?LQE+33u*eXyWF~f+>^E!-BRlnZelVbM{A_mc$bHorFj~!V~Gt=M`g$lo~0#z zw73W${S9?V-`?y>q?sk5aP$kMb{nhCC&Yv$*5dU@xD0bfv>KQcb*h^~mB+|K8-v)i zbW;rocFTagK7R^UWX=enZ@dn$2CP#4P)v7^V z)sxWf1GKKijDts78i8Urm<11AfSO54&+fz~imf~d678OGjm1q6wysLi1apXf^~wbN znwx#D8z>HaSeyq6D&m`(2jNoFqlA_VKZ{uG`bX(Za>*+m4npXd(rGm5!5CP%IhG^J z13k-Rc8?Op*M~98>Q?167(N%T#=hyKI;c5~torjg6sE^h&0a-OfE2Ow~ z^W?+MQ!JEQt6Nx?(`-$tTQ9%e{8Ss4tzb*1#N47xh`ctl>nc@;yA`lQjm{6x@c@22 z)R0yqGpq^4U+W16KLSj*InO>YE07>vFJNnB(_&CZ?WzW#i{f1j05*U^4qVmsg1qa> z!jIr@vqM$3?${s#k4QR;K}Rm?-z49wcQ(^KB#vpLc?$h|qt?zuZ{Rkmo>iCX>{SU9 zBA#zN0)#V@1YpPn@!@WV{$}drdw0mUkJXNw=la#9#dMo)8d6xXM!qfTZ`41p1_V{^ zRNGAq{@Faoa&C;yka=SVk;4<-sAtQqXi%%|HR9mx5Gboqy=wsM=Ucd6qiTCKfKejF zmm|Vw@G7EZKQg!$Zq4C7S$>Rb342_QkO+Ti28jIHwWl$ive|BETi77bfV{~UE1N3b z#YKRu8)Wm^aDA%>!jdkeWf?i_&kjJ!Pb7%a^;F%cwyG&W38|U-2WG77 z?VhsI3YP#rK*7H}MB1;TFkZ4FRW|NiFByKLD zc0pfoA-^XJ`Q(d_d{i5aa|8oT9R)%NwG@l!=J;?NUCkL)M*cHHX~-k1z05paMrUX0 z3Efz?3So=#KsuSH)~7*%=kSqDH1f)DQegml4+bikCUx3;?0MI9d$9>$pbz{W{}4>o zs_38Hq?brsR7sT7gCtTnNNw_~bUDeA8LVkvzQW(A2Oua(V0>p77ewus*mZrt!mWeEg8wmx*b521r|e!5|PEr z>q{?Izq=LFOwgh`>ScgeEQ5{1GzEwRMZ<_N&-hGCrw<>r(}xe&>F>ts0_Vd79(?PL zA3bQtkE$L2Q|sCBgZAt=@JgFI(EDy=dj4bd@8m)Icd~o`>fh{-+ws!}?fB^qQ}#Zs z<_^~`Ub-=*`cKm1*!$@(o7*~_Xf^Q9VW*5f+!lS zKu50fLNZRS;ryfQUOWe(mpf__i#^w0iTaQ`|tvpA3wzVarfLM{_etZ z){9$8F>&!Zx;vG;C&^mb4XNW#c=E#+Z4;k46Y0%q7dt!AQQF%cG7&U3$%`QGuFbci z$?i@9CP=6Q{D@cLd(=}yuaMpPGeW)U6){t*m1yna2`kLhk{b!{Z;szC;_MQLwbDzg z-l>DOMe^MiKr&b|-pGKWS(>wxzuZok^Kp~I>x^&j_mU;4DHG|(x2VoZ0A^4-8xUBB z78KbCx*7b;pfQNS+d3r}WH`p0PYi3p6E0lp+-=lNl9<#4Wb?BcZ ztg}?yqw|%UqxC}VGE8~x8XOgG`#Abt{f!En95}}-u~!Nq@gu4+9z z2OEXy5~0FQIJW9Oi&eWBs{ssdHz4<=?MyNgW zw8C5dAeh8f+@WjqIP-nuWjD#>j-ZeO#Y7}dlbA2m=09bK3m3~t3ydH{lNcya7O1E`r~(_@!5F=S4b2=YNgP4M{gA9EJphd(}e)cLV#a=EFc}A_Jj9qF_UR6 zxFde9&T6V<0Yo9?;jR)K{O9T~n6tVr(jSl;i8xyG2E)^S{=RV2`*$C_*O9!g5=q>N zz|PqqX|0v9wwYMf-^458COB+~veuHV1Zjm0tqR9^oUoJOSHai%%z0%<{e`dc^VbB` zH^LcaBLYd*ePFeZ`uS$iMo?$ZJ#b56Y3Udf)I`6Q7GahsLE3ngF4am^6ewFUI_bbp zS8Y%yW;)=x5ch>z19T|r;Zm)`{n2RPqZjT=;zoo_;$Sn=sTQNNqvK((fz{1t<=w97 z<53%aV5)}L-9{snLP2xje{G|xscx6zXx0w!bs#fllW?#zZ7@lZ{9+2Qr^b~5N1O4a zk=%>$kT__QsrL@Vx&}TFduBK9+LY*RqUCD*wOL4<>hQIx?{gsr{bc``KE4yW<(O{> z<+GSZ(9idZjIMbX$tG1UcAKmKV9LULHYWG*bS5KBuF!|EFFMD5$8|GiDYBN@*Rb#qE%XIy*OqQ-`gI#=4kVPC9 zfFSamZcDvA>&tE3)$rSp-%bo4+}4bS8@}hi7GCiDm%>Sy8_M8nI4a=!LKY)7gpXy+91jav}Gopo`VS0>;zRr^TN zj(WxiJ0XqJRWk~@wJ%so<|u)N(a+sV0_1a7%yX!Qnx&W+IgNCRgcWO`qRaw<lx8`A zL%2t5&{UwB>&A4|CwMEYW?`GQ4*rJjSA{lD8*5m?`U)`hdsd>K=P_=s>{i`8kBYR) z2hp`USwcfycmL5pSj8+WY4@{-9 z-2a|K!+yHZT=C)Jx>I8cplu>+yn&FksI;Ou;MD4?LrGP5WF5Zydle=pZ6uoH>+7U) zFq}3jUseu=oK6@z7Y^D9A}b4$|x0U>8W&YV5^`8VCZKr@+-Of4_nlv zjWeP(CrTv!-$SAfs+eO+jB|FbMQh~iEHUz2WryVPF2!P56z(TTheUS>pE^JBrFWZ?AwQ zob|E;hcwoNMWjNuop@>M_!GpNFqyW2VxXq|_`I62|Lwaw=)_coPn=k4Kp^I|eBR`) z?XHIcuutoegB&Q@dd?q>qyF*90797Okg|QO^?sUfgU?5E-OdRvqsUy*C2Je?r6Jgx@u=z*|cD-!q6h4n2tFET~ zGm`)ZkD(N;Z?*8=21|PlSy`2$$AP^((Lo4EbSsKM-KXI0M7c1;Za_UCO-sOK#lAn#HvuKo}|L#sTx9mQd6sf#KQr zJf1I#WMakMqbC*Qs9F5Uzw0mj!ftG%N-4HjfHKbwoYhD7o7Y z+9z~_{JUdkzho}0(T z6qW`2wPz#`vLw>W2U%AvuZ{$+sAQU%r*xlJ$>t_6t{SpvHEjEeaogw|038WvbX|S& zrU$8&WH@WI;M(3wTJ4<$U0YDMDknEv)fl)PRChXhHZ$MnK!=twX z+>{GYtgHdsj8W_w3AFDvxM+8oEBBBteXYLSM^YXX-bCK1U|oM+^iGhvxh9}{wJoFTG`YdA71(ZpmlW96s@jJ7Hm>kXf(E}rXs}0_%Z0#GeEP0Q%HbQCl>sDx z&(YHu~Cdc;-1N-tBQWJB0APl#1|H(|roclTFCZbS`b{?76su5*SLQ2~9C^R~r1v%|;R zh*1AAzTno67uda=?^pa_*Brn)EUj)2_{%3-Jlj=ud(bfYS?@ldH1nFL0)+bItG%GE z;?t*l5$s>RP9LXMt(=Kh{N*e2Ol1@uz@GW|+P=-Zze3!qEt@Z{Jo^E;Y)GU*(xP42 ziaKx1ZNMk#vaf{I4E4$)&1pG{KHN^PlH0`a1>qS@cDL`Gb+yF7rb_G5SLQW{o?$=s zSme~84+mmZ!E&u%BAij%PRL|bE!~abF_JSqI1keZLaC>c#u;Nb21TSTqS0{w^d8cd zJXgBXHhn@^J&{5L=d(~AkvwL0^j3S6bOBy6%|@qRzGU6C-#QNsk0dJL;VDuhyVIE( z(p=5O-T-G6vAh2~8b2BudbK+5p1iKR+IuBR=$W?aqofJ)U8#{+Y-hm2hD+Va35=3@ z`v{?m3zPms#l3BF8XL38SGVf5Y$#n@lbLVcW)wbo-8uq`B%9n)=g-d~`ezi=YO%77 zc$+3PHek9?%Z~cQ^BHng5s6w3;Z<`b) zQLpN8PvH2O$Ce1K67O8bt9YJ-jR#)cfI5Tj*$ zD%}7dxWPD15U$}nMq~9YsBUgApF3w>fhwyEC4eo`ViV!m*o;(ND%NB*`S>ne z6TLCy%m}aiyMH)Haw~)3bxueJ`IFg;A;CAX>+26Y!-rOHa@M z2GrcxZ0lDG*1}fbZPT^nRwMd$WaKvQ#oE{Wd7Gy^JC9!SJ{4k*XIGo0`thb*Yu#87 zM73w~Es3!PVYEKUD>nd3s3p2K8?Q6e&5-cgoQ@RPW$ym>ce>b#6(^1Bao29}s?nvM z9gX*a4n3Lze~7j-DZ5O~Q(Q6E%ieB=uk)Vb&+CpX_^R5U`zU2yH)f0Dna{&w0waBSZzwvWSVa_NCbWNH{NRv z-{Tjy$jglrhi%W_3J3EY7p{X0Xp3=Ijt{-2n0L?cQ{Y`aAa3!+^-w|%<3wstRBunm z`UjLX%LNA>HC2j-NAz$9gaCFJylp#lpGflW254KEY3T8Q2~$5ryk{@$oYz*|0PmEF#;4 z=kpFaLQNj_8-sGt+zoXUAamR(gKev5`zv}T3MFN!{lXj2|fp9(W>DoF&h^rZKWYh0fK4M`bDeh z(vnB}cbe^ycp7r9x0@t-mp?Gyag9l!bM4^(1*!z%bEl0Ie0+e8meIsD(2x1=t!DEy zpi!JLz|Z6I3=)NcQzGL}`Q9vEw^UIk_&%yuxT z0Co+>NALnc8wPbolA71!pTNAn1VRYQJV2xAAF$(qoL`59Ycy2SL`$J1qzS>cqvWwt`n#vICwr@pM>|wn0 zuW$Wc#z*w=41G__OIkXBxS&#vQ4+&Z5vmDw^A6|&`4tF$HxsQs?x7TM4*?!%e*NG< zMyvc+F*3&OMjzoIiZ!INQ4~t@d`#mEybpzwJ3xCQhJk|_LBK(^KTGH7#%Wh4aTDWc zq|ie}B_~5p{dX4788-;%fID&j z`Sbm!Pfhe$y1{=`4IE8SbEEA38{m$~)L)PnzT$_GKr!z?brJ1HANGXA%@KmY2zvs% zlJ-(so-C_r5A;|j!zI#@=wDjWr`kAkFf1{>%87E~6=X7QGokaTsdN#hfS391L7NsClsLa3o3gbIJ^UacN&)JvB# z3hB&Pz?i)DFq*)ey%KDDzHYEdhZqgj?SqcYQdSz*VUzNp(#H8n{G^&xs=^%gqzh}5 z`?5^3nYA`3X)S!}7B2OafMM!%(I9}APeH9IQ?sv|&e|0^nNL>O&}^HQc(kA3@EO*| z)k<)-Y^%d;wgPCJ>bF++jrwzp-f;=Qa<4x)?YrAhSZ1CD_YUh~eH-VI<0HVC2{w$tWV+<}IMDudY zVqZe&l-UH&^QpDOsTNu!ps78eeMMqXpqJ#5Z-Y&)KTtuTyJb`@5Tx#BRh5udRjt}~ zgv?)HW$V}Fy`a@%N>-LP4^e`Yxi6QMMzhW7_IYvM8w;ye&I+Sj%Ai zw12Oz+K&9tTx?}9^a^B1F`6h5yN-mIxy>U1<6p{`jIWUb3wu{%=bRT z9~kL=Lc$knA%sRfBjH>8x3ka*-O5ZgE3;H$uuC7s3{%P;os%oqjCa5HJL=by+I~1y6GhRZqv&c$9Z|(Zc#r6g(-C`fCHr8t z-7xEjspI+c$FE*B&KSHy^#uQ0ojJclzt^TT)Yhrih|BjZyNL*V)G=2I&Q1%KGxK;^*w(z1^xbX<`(-OgE)*pgnvxPtdjrptKqT~wO!yPJU z&fsxJq!&oY3+C=X(w(c={R_lGj4|VGq&JQtpKS?h0NOQ#(uJx!e@6i>n@{w&I^`2>IJw=+CK?^9FXftL(1*iQ9#upvg++HPm`TcZ&5QJh zAF@=)ns|x^8b=8(mTLMR50jVL=TwCx(PRg>`GDbPC6Nq0x7U(>Ga4SNrSM#fZa@Le z3^!Ij;QIgP?rlRQ$<{R?yZX)#alGgcQM@2w>p7X*vv<|b+@D#8<4|4I)qRd#)pe_? zyH3;H-igeNof)+=BeEkh_paTrK@ed;5gGgd=ZA>?7!_wOgNQgfcf=V*^oO8`C^`r# z$e{iZME!GJ@5fr}T`N|6|8&)CUC{)EqoCJ z00d0T$A#v(n-34vI)6ivKXlr@i~8SC7VNtnf%Yrss%N0H5%q@$JH5Lp52}D|+bgGi z#c@$B-7@?Gwg5i5{R{1J=XI5m(C(M2pV_X=_ZLS#ZoB6n7^l$5~){m1RT*ANyciO&;Lt^;6^^~d^ zEO%k$%9ctQ1k3mtJ6YYSIvPRt_=a#UrGknnMJhLHCx0i_gY_I-ltcADFf0EW;qhx> zIgEj*fjU$;ac+sE@KdZVOd@kr@*M#a_oH7*$EpSo@d;rcs3OW(Y*ZX*u@7c(OeXU< zgH4#3CUpU52+lwxHqEwk7o3AcF8R-N{n2kV@MpLQRm$%9nnKNn!4?uj*3uDyH@zE= zZYnI)WT-U=4H>sxy@Ut2p!eTA_#D;-CNRXR2%Ri-WkhWJg;4~PO9$`O9f)6YZ&Z1j{pX2*>y* zCU7b?Kow+TL3^i%dK}NA5*o5=5lNN03z50sZsb%o#hKZ?46mFW@}6nkJ|V~{+QUqf zln{*$!d42Hg`#++;wows^|M6x@P)a^c%@iLo35dH=!zjg#rg`Ov_XNNd;#S=ums>~ z4kXo!!s`JStY?vW{XdB=z~;fgbW*^i(Xe>@4)8~egQGSz&qob0oq$b&D%G_TwHQF} z|Ag1%B2E|REkbuYKau1-W9J2twt+Tp_B?JIT^{E8r>w{mmd6G;lg%QI2BF%eG1Oow zzk_(uS4H}+QTsJ0?_SiWw|z1Z!rfX){?S(pX2QwMErtsdayJcVsBQ9jtZR|^quL!Q?`!)@9-$%<6H!*UWA`66#D8tViU7u#l3 zqD`i|kKb^ynbZUVq@@Zwo-E!qRS#FnYFF!rQ*y5kCbGJj_s(gh;adVo?KPJUHH;A;Q$PsU_?jMYdx+4>Xh$ErU5cDzEdB2M6pSu)%(5t2hm`JcqrOn|G!iDq^J~wg0 z;ZCLKoSJ7`Wi&jbLUTX(IDELjPmN`{uB&lotr+EGZ5T|kZZHsqaqAly0!o|9Bis}| zj$+tCktR&xDHFsdx`f)So{;QS;!Fo-)TK!(F#cb@W>lVr9 zZ=n$2-VB4iVFTnh-<^YCcZdV_H`|*!lK=WP)uxTeJfh`?nDR6&8S^B%YK(1So*Xv7 zEKO(Ro`suXg?$D$Dt5eKDS)bSeW%s1M>`#$2Ic-pAELgP)CyolIQnhR=SDMFr83*OnZV|K`N`8qyV0Ykk9VWTUp#;I$;V$n9Kk^ul1ip-Vw_K} z%<@KNmIf?v^{NSll!Tp5YAMC(B(%53$t=$5+w?h$?S=FBA~F7lbFG6&^KOS%Y3o95 z_IzPtSME1R#}a}(`6%5g=|PNI;%0NTvDu$R14jz_5Z_b^33=|_YN2M#Ad1z_wzit_ zm8Vu-kQ&@ny=t~}tE;en18`EZP_8XxBGrWB3#t#=GR9-jLsShdQzQVY8C`nE|exahh={$AnmR5#Ll+pT?eBE^r;Q2kIZCl40*<5Du0DirV)(!x3*nn_obI0=| z=mhx`=VhD$MU&dzvhzIZ7aPh}zoAM3I5EKMe*;Ns;H#b$@YVLu8M;3h9z^G}>fKbE z?%C`~B=2HKS6F!=O-LhWD|dwkn~jS&Q{TljS8K&Ak9O%VV4Fjbnh99)lyOVt4BmYW zTr#`StVogxBGiV55TsnYDe~*TOhpBbWOW6jNI!@1ugH)2I948wdWy&J9ix-l>KzjL zk0N!tRS~_|6tS%Iq#ghaltO$^V%^pO_rsvi9Alq*__^`-K?Nt=S!e&r)#&ROl<6QR zS|<}%lfWa-(#w8L-|F=Yc%(fgV*ttew+z+?m{Ag7*)Dx>OH}B78+8OG`HgRETG*-w zx&&x%&v_YHPTBFUJxr){j!lrDy#xn&f zO$~L-BUv-znbP!Nl&1hI`eD?YlN*ZB5OUigk&dw@NRty7f`u7Ot*}o)_RJ>q{b7TK ze~*6I!zSq;y{d|)%|lfpGXTleA-q6X;(55{FRZ6?{h!?<2OvR%m0!gt?-(6GRwz6_ zM4CV}2x8WF9<9K>9jeYab}HTm`~UdyjtTukvIQ1LUfZc=HiP-j3zjU4+LU_zDEDwh z^>4OXtwGd?8iq5}H-LC3{B7+1HWoiE-Jcjm#oX=cTLGHE3+UYMZq#N1xNv6+Bw@n8ixZ)TViq)YTvYnfO>HM0(!nFU9nZ_^VP65wsP{)g`AoPMnd z?NecfI>_+u;*Pa);2^-pH!g!uVvQXrF5u&H_GapXfjPr_#lGY zWfP?}@$iNrJh2Pl30rLyvV$7Rrb^<(f%T}7PO@2=DFa}$S}jsG8iRFOd(kI&svXTo zMUh{^diwFRH$F#7VBTBo4?=+|TpUf4sfG;2$L|yg2hP|n<*ckBG#L!;A0H2T8o^_5 zKoUMwMGnyrwL$3}IM8dU`qe;v(uhI3{x{J$QXegY$Z1=*5Mu2`L%amN=(-Z?fq*=z zoddH;3jq624vYQ;)jDtkmq^jKi^9Z=ZovE*hx(ixk4MeuEWrlo$EcCaqZM@1Jx00L z=RADg&UfhKY@dX*`?|2<4WWvDT#)d}=#(h&{_78Xphl1pMcq6mi7=h}<@`L_+W7To zpcu=JfRE*!1#1nsbur=m2YV;V5yG%^qaZF8KcU?Kim=Kp)oJpJbfJv8F<`2anl5-J z-E9vjn2g3)Me}TJ>uv$EPnY?)FIXg@K34r|@c2oIpGrmWPXB;l_!*RTJ0h+|pMi@F ze@?}Q7+9{Z)z9I(JAV}ik=6tmoQ{UQ9ru>gB(Aw7 z{c@vQ?mHji$iJu7??pXbzE8z01jZaQ+bFC-v6(A7zkba>>_%VX54F32d%c=IUr~TY z=Tu%xT1yJ~VE#maJ1;TsL9|Ae)MPUQkL@xCUWZZ(t%IND`IOUC8L=zCag!y5Td5>k(K{<+Jf8#&nh zqn_Yv>ubvbw-+x4Mt8Dxf0f$aP6ao{+_?S^KjvM17a*G0q>6}r)K-^-$5`0 zDh3D`k}~0(cZh^q`FR?1J`})UFnnv$8jwWk$&_u(LRTtkO$+JBW~T#?I$6f=^aU1v ziNYmn*I!2FGmV!z8Vc~be7P4-FlnjJe);H`S`44E9+68W=zu_%WAzO!lUY2zTGulV znG>S^vyZiPkfS7eKRQEchaKy)(E)ve=B){FwR19gp--;sGDR<;udvF^ph8>_a7;A6 z8lL92X;yYGa&UAUEyvN%qJv>H8=I^29#Xc90j=YyIrQnrx>_h<^Q^p5U)vG^Q#|3n zqCW$brv6n@&WJ)Y`ssRk>1s>CRDZxXA!vZn0xLlkrKkTodT{JcsYxtSQ!%3Kva@t1 z7D#a-B^l+sh6BcILMvlmrL>O z^tcl)j|-x*BT`NwlyOa4T1_uqr{d9Lu@53Mw%|j*b=8&CHyv7QTusAp!(JwSp zD-*gmzJI5mnAmw%V*czM!#h5%p3&O<>%XBVnxK=aBsaTGg)Vez-+nYxejE5=$`1ba zqn%c=mZF{#s)hI{T)0=mAZ2#Va(dbCuwhoBqAmsRF zG`F3wYPM*#Az0}W4X$40#wQmxs=~oEDH&Z1{abGBkONjVVhQ~#o{SbiY((zj~?0g1( z9Gjc%hKgG}Zt~*=b?>fd+j%jC2oSvemI{xKsX&NDp>|A@Bm6K?f^*lQ*B+V{& zle~wnd|@V@Dte&eYLZKqWuUTRKUD7PQ`mRr(HE;knFc~31`hBf*%W7@_D2UL)GP(K zDE&w!7$R0zy^*rg0E9nRW~5tEZ=8GhvV&iTrA43@h2bNhu3ATrvMC^bXAqin8uFvx z!MiL2*?1y4bJ8pTN#^Z7RHaGj_%s<8NqnwPtf?J1-aFiljv*v_w0A-*dB6WbL$NWY zt*Y`FgVEt=?`R(>3WMqyZ%KUI#`6q)8QGGm9j#C9UU(xp;D9aXVD#yY5LGe`b}g}_ zjPkq$kYS-b9Sw@`1=o5GFu$?%Q|y?wxI^B|srFQVKqOrl_s5u?g!*NCXaD?d%^z^e zqBk5e{Ftlc;F}X)PRPWWY-tyJu&|2J;;b{e!+?s(H|65Wm@O?mZCa!&wu-?y@>0xq ztv6aKt>1}d62w$nrV&}?F&I=#mRs5=ZiOy+UgX(pvxU_4gx%6x4-c(LV{De;p|n}{ zXv2~_KvM)V0nRfV99~;qZL;x3O)qr6uIi9kHYbEpC^x$@38sm}twdr-4W7;xseto>AcLqq4OOwqi2 zJXggi$)Hk>Ekc{>SMR$zGW-(aNMBW%%$_f6F0C*Vn>!#vSiq%EkKynU#DrkN4DW5h zSW;CSzA@OLmd^x;&DRcLEvw}2s?#BH)|_%EV@M_-k_>p{6A3FKE@W#;0tf-FfF9(l8*4#=$zQKjxTAeS0w2N0&)gd+&7xzRcKTveja{}2IMQ@ZzLR^_;tzcb%WbY)td^Bn#1qm3AdY(KaT9@ z*0WUN(y#wKff3e14nm4$BDIIB>Kxdd=rqFC)nZa4Ew;Ar4eo(js7ln#k_;-&J?k#0 zILXaxibHf9xm+E)Y#^D!GoTcG<*qy}Zgx|Bv5f6h?oh{q-SsBo`o{ajC9dEpB0gI0 zw9Z$14Elf@J;ICi?VZg>1*2#)Mm|t4iRN!q--o;ok@yQ~3 zp^UBCV22ZzcLI1Jf-QPlvv4+rI*uU}alGGa57*d%s)Wr11UHnL3v$Hyi)7oHTWL{< zVC@PpALrR>IKd{a4p2>4Z4qBCfJ)>7oigSF>#Otf-6%^g;%Q8=w$BpD7RRd*;?$<`g%aPndnXXy_#Y+Mzfy3OU86a0?WdCR(@1{vtsD)==7pg0&4w-c&) zh>FqGg02ZDzn0N>t&#YIu*SL{f}=YeK2^Mc!#JSUD}b_q0Snply+h5=(36KYC8lWD zk%RI~jB!x#3eQqY-y+4_WL#k7vGJCnlAV7mE2RUrXi(0?U@ZZ^HToFhb-P5KnoED7 zF+Wt5?_BY-b0_&`@#iH{8^B(Kq<>cghCS ze;FGjI)M6@;mMD{tbYCH8kyyq4B&Z@Bzp_e->K4fdBr~K%bX1yh?`hmx-1$T7*-N} zuf`V#Ssg!@<>P+8y#MMx+jRmwTy+iF90G9#o>ZZF6J!43(?=w}gbBZXTsj!=omvAk zNusxL_5*~P4R^j{_OEMzW~4SF*hH~9OjmGMvsNoK{B(M#raQyqqo@y)P4&fUnhg(Z zf@pXUf^{L+2FM8%sfA~#S&^(^O*9p|hKg(tGfQ-OQ`O`>oSqA1n{7k@!&%{3L^%L-I`S4roFU%|<* z{3|Lux9amMzKT0H`#N}q*X#v40$rQ@s&clUlgby9c$F6OP4|92uDQlpr2h1W9gz$U zS9-&iGn0zbwX~VBnx2cuaQ|%0hVFjLp9&VtGlu`NDxTRzdJD+C$XMrY#bfu_&?`mj zi|7=#i_^mfK6K{Y)&`Ya)ha~jp=DwQF`cPeM;G`R_lNtnOy>=^a=6RuZl$cwcm@PQ z(==a2yU|#gXi#GwU#fp7OXWO{^79x1D*dB6uJVRH&{@r0aBew`-bV3ewt;fksDIo- zO8!+i_~4U~+gvcP&C?T58L!#;Y7rG!%D&8Rl zdm;P+R6Tm_$%`D8ikI;UZIB`dos6voRz2m`4ascawqBZgewRVnASDXmSJqLykcG#5 zDp(tB!U`BCp~C6d(gWi;&DmkK2Vq608eh=C>Fo%uS9 zx4UbQ`A(F=kjZYAeo`x#nQI*`FF_X=tD5v&8B8(%Ei_h6yjc!VW4=$vn>|)Tkrjh5 zrsETJP667ubqgQNtrFIT#S=QO{AXg9`=>tC4j~pJ6jVwymE;M0tm_R3DVo7CAHfQPc-SSga*DVr2mp?OpvG&wF3JoF>bB0&)0B1mfw)&wG)y_xg#w z?vcH&yFdgIV?m4xGWQRFPcF{N%Oo&fBu+`lIn*~OlE_{PGQJuBU>fPz0Z3(f_rp~s z#A(FA_^DOW(92N}J~iStfPS=RBFzD|aa z$7pVbi>YkVXiMHyoWO{8D+_RN;&)ci+=;X$1l`h76zGWev!%bUP ziuZi$GQ5UnZ6V(Ct&8yLn!WzRdz#+F%2>!!|wgj~o#yLosC9{&kA?8LQ5fF8AUWVG_XMe4{^RG38;n%pUeN9da zdNIC~s!@axz^q}=CnrDYM;osJV%BC2f+NNeiDldNewCYSJ7_Fqub#55BRmK{eouTY zqFz5vK#@^k_DPY*5$}Rf?S4e3!YA-&K5Rt~I|%kV2^!-PZ583@0t|l`HTm)$E?i*1 zW6VdnB%Z&%ujV}($EkOcddo`uTG1S~L%=eb)WCsi1I*40^KK@t@VmAPEYU3f> zAfUIDZ?1Kl@)c7{wFX2gK?-^u!S{as62HYHn=QB)?-TkHLlbNkH)3&i){_$Wj6}BKLfK>sObtAU=1DR=+bl9=9QAfA^9H7MlPS^N zuGT2YQ(k3xcC{>-_Ii<`*Q);4=1A%0;GKs$tQ+&9fCkS>4-Gac&jDENrm5N)nWu6Y z7w4rYn1b53!TvzqNT;<`1Lp-fjIa3b_td-T{EB*)X(3YOcBx?|c5wPrfSMSPSa6&H z*76r=b_Gj^d*9~i@bjp*C+k1safx0J8WZF~5Dhq>o~?WN?dCAqpMJYJJ~~Lg-Hi4R zPQTq8CGknrA0u<*C_01xP4-o{uJEr(^uq>!GNQTbbeyb7j^Z`_saCHdU9EZCt#~gK zpXXoOZ4iD*!W|a6&Uo$=wA)`(1c*HqqDAP8T$48U;p|iy^gWXvHb3(>}%^y|pc-P*rVzm9}PscPeH#_L$p&<+MS8?fW(iEQLfdZxZ~-a+>V!y9!= zweZZeaQi-8|4T@;+F0sfTr$Qe`1piRQ_NCA-OAJZkMFl+#}P0==9NWvI7pVBL3B9s zR2JU>$O)ezC?tWU?7p0-NM{Cd&s88XuKqG&WCCo$N7N^;R;oEz%0wJ4EVR)V=VDO9 zS+XBR{f~F7Oln#R*Y#ugr?{Hs$)m|;Rp~1?%R!k?&-thK*K-~^)%$2%*Z$znCs)k3~dMY$@!%z6*Kf(21LE}_oA4C?g%A}J; z$#gT(a=7A>R`WhfC+BkYW3NshCSEmdEQp3-kwQN9bV3TKyEbzJw`6)S8#1llRP3FnszYQQeQR_bIW^e!_N(~>uQzMt5Uclm0xBoZ0HIi7s`W& z{sW!#YNKvE>5v#svO?M1vi`vjkI@;3f!s`qoTmvL1hBf6v7u9F%|e-vD_)$ssMNGz zMJGVQpRD!n8e}W`rLx^s%P-U(4uwzp-kmEB1Kd;kwp4HK^9luTh|Q*17Le(sYl3KteOwE@OS>8049SEt3(5`AM7*>UL4 zly^umm{oetB1P}g_X6M67=#lwH3951yKJ)Xw}3zIllyj&`Oyj5e8T=AC$C9pbHdnZGGW4;aD(;7h1whO4U`V+pRc z1uA4(=TW~XqD9sB);TK!8>q+uZxN(9(C`rnPDqzi+lBAkslDQ|7FDX#who!o(l#0_95YTV6Hk_co zaws)-&I;2S_}R(~hdDEFFPy)5w#g<0bFSPQ<-sO^82%haNGBd#R`OmsR|7HI=wy+) zEh&{?b$KN>gGCuqjMq7x^EUcUeKqq?yuu-pO_!?$u@Q7=-#NRr`RhOVCt&U%fXQ0m zDcFoqN4aG6saD!hM@(g|KC5}Wzy!|-vR6kVEa&K*V=44ZhH+91Gwhkeza#d618F$>3FjiDc^$Jm|a+#QcbFu zkAWV@hJxwV3G;I59fHq_fH$=9Iji}fF3s~<+c(enAGNRvdQ!=W!=Hn5o-teTOd1Ad z-fb#by;RK&c**c1rpk%Y1^~XaV%i9zoA9?A(~!#^Mo@nq^(LF5kZST6l_W8F*(^a| z*K-ipwN%7Y_H;AzWVnIq6P5W<l182`tzi>Q(NrBh#jYEhPg{u5-^;N&#jO@-Y_{VLC)&4E^El$Agr|}bwNTxlqn?I zbQozSla8jSQd#V^#1$PV5V4Rt>Sf9njO8TrGJPmB2ZF{EJObWeeVUu=!*4>^4i&Qp z@Fou$64{1|sa;^2x}v_2|NNdW?H9;YgaBedoxc&BSZfmlV|WCROwbc5^-`c-2Yrmo zI8#<*@MGYg(CeSVJ_Yjvmn_{|-ma0?4b?m0q)j2DD~y`5Xb`O(K2wOkuQ#|oXC*Eh zV8E2h5>KW=sS$2+5l_@qxe701e1{ZK1H8+RlLK8OA?09O$L>C-lX&Nsz z-{AF<56jokrtA&6^IUwD4D`9rmL-?=mBf}LYjI`o*zNHKGVMF^YNm1Kz{lc!92zuV z!!9PI3)XY0CsvEe9)D8AQw{vzwBQ4MdpcQL8#tSRy-Rkw{#E)>hN>LH$4zDi3-cL| z3&YL$nox>Wx6Mn8?)ABHW>ic1>s8J<{2u1jzlO~|3Fok zWp&dE&s;24Wll5q>Y^zH65kkXjO0ywo9K ztm7*i9C{Cpg7z~sijQVcDKJ%}7NPK=)r_(i6u?@Zh`^BYqn76GL_SO+E-Zwn5S$+*f3*&=jyHeFrqHN5kIzbcB zx3xkNIws$?7kzAs#vgH>%_J=93nl{7QqM+bBn*Tp&mh94Oo280FWT}QGC3l%7+hBD z&vI;BzF3%3ROOc@g3ICip7#p`8=jF|xfIkDa5t*^tUxLq?#f_QoLAl%WaGldQ5Twd zR;z+NGC}yM6yNY?i!9Q_C^YH1mXr(BbJ23X>)HI$RIIjFYGNh&q1v`!B-Fd-{n9pC zDbIXj3ni89z0owPXK|?(iM6Q26kOB1`tm8t8>=+5b{YX;2GVozB_eEV)iTZ};S$c! zMcS-Td5Zen~V)!B@$=Q>vSd#7__(|jD( zt?$S}pd5Z<>J3Jx!^(GT?lg|co_~UIIyI~2aYngv^~)LwpJj5Cmtu$ft_RX6i{xxg z0XpbLfoiZENh|Wpnp@y+cW@6mgjQ|lI3QZUhe`XPtdu~&^L%0fAN2sY)D<3+A1V`8-{MPI4y zJGqKJPqX&IHDwKhu-E=Ub(dYm%Em%@Fk{`p*?a0g2Rc~dE|cmPa0>U2x;AzQjUClC z2F~UFao5I+SmXZ8wMJ?{*N$;KM}lH0`dTX zJR4Ms(*kKYB*>=KV)68DrM1H4%fM&jDsmC^!cO?sYNgq9y0=3*RM(9?e)Po_ja{rK6CJUlpPV#$&<^4gTgVFj z@&^IgPck`~7!Y393{=sL2}%V1M*CAur_HKYWi+H#wEa_4<|Zxqvt(RwXut$aeML^v z_H+d~JtFq_3i<}(n`*im5L_>{grRC{&+~0WAe)f@jgA68CJDVOBMT#vID=~nR1m0^ ztV^M~DbxFdXg50Mx`U6d|DI}X?sK0{Yo3>DN4=#*j9CrcrLshetoP%~R|TbUZl(EC zd3+nZHgAS`teQumNGEeOU$u+=V=7tQ$tW1N_wz0sVO|i+d-jVIm_yPSdT`$J^sJuW zK+CFgne3A-N@RtErA|!^Mkg3ly#5R5FN_Nc5#sU-Dlz}zT1e6~q*6V6#IAa@D3{X(zJme6F8g6Lr)JK^G1pnQLQVI76( zCEi6H(uJY8(pU1s83$Li29$Loh5|bc^OX${qh2uttFv8QXPrsf|hw@U?HG*g~m6n=}AkX;z`x^;IXIn*J3Q-gq=#*0IeM)j=aoV zK11(PyGzBh_)4t~kisr-+Fbwo!BKpQ&juiE73*QmdaENKxfw@(9a9s-Z3iWV^u|C8xyvemee&{Cv-IPRTV`1k*&JYXlLM?=n#~v}6rLW!WvCJgV@i5v4car|n zrRv{rV$~Jv7HR~IVOg&m;mFmD0bm=vGArrLTx3F+34=*i(ge;5%CA^d8X(8jyV>l36DW36Wic(LY@_aPfrt;ipugG$A}NyZS!nL^5uoj5?t&g{Hv@C(I%qs~Kr?oN}h< zPsc3YwjTe@-se>teQy}X+|*aAS5Y@k{ORDHFG>~z0Nn;GXev)gLd}p^@~b^d7Y6a- zq`$nCL(Y58OPZm-puXgH@Zs?;M39RY84MWoamQrC7t3bu({hgV zwd%aqsFfyslr;{XK9%Hz48f&>_o)xcReADdLzpG6Q`M@#5ZYB*=2e^kanY1E+W=C!C*@e2fG?GAqbwzn!PTNh+ zNtsA;0a8*HCG_ACN(4~Kqp>e;=vG_Z3FIJ@;$59wX;x5i^`z;ZrYTy=a#dHVZ#z@wx4 z`v=`0@T^FZa(%Vv_!6Dd-^T+UJUl$QKkE7hum7!kTVVf$W9V0uSx8^clarH z^zoxd^fWC6sQd%is_Jsv_-;2@^G`Vp1GT8?pHJzZPpL{(9e7L!9;3q24kzd|@n!FU z8Z`mjH1)lp;#4+@dGX4Vv`18)#c`0$!eA0Jn1)v3i)6zAbT={*=-cJhfTaLaLW z2F}+wAv_kgujbMJ!?rFFZ3MVCOu`;tbW(P()75lN-NwvRauXU6I6!!|MAW+Lsc!BY zh?n7 z%U?EG#7^bHyVdXQ?;jlQADgA&yl(4Z~>*X`{DSaCZn(z-Wb z!L>5G2>QZm*=kl|7jf105Cq$+Y`B%WTUuK67iEq%3rAc=!xPln-ab|@2BKa(JNd0{ zOK^i^W^h|-l$5xM_<;_|-XFrM+gKr8m4Qq{@{jYhz+d92VFlrphi}%f8d1)$*FOUC z^zE1FcA1$bF^O9Y-{Ah?{lWepnc+J;;NhD&W}#DskBPMqa&De1w$zg7kkn#4CW+6g z?;5i)y`)^zKA`?cm-w-EgZOZBuDv7}n_(^9#VdM36+yWaaL%sUEj0w!Q1lBguae4? zoyX%ps8v%eYU!DbCzv_$@bD;FEu&NZ-+r7-jVQPkV8dIgJ#gYUQqJ~DCtJz8vxQn! zV@iL&qIx0RVC<$usZD~i`)q)^E&+77p$jgxV-a0j`c zS(WL8sA=^OIYo8SN2yO^CMibB0*NvGQYf2St>{_hG!vmXkH}m&V;!aG= zYQ5HG2AFzqSNTcay!j+>QvW)cPbV)k#*4|1E z1-ve*T3?HAih_MO$KlipOpmG=s~5vB4Y%cO@{Fly>RmFtwxUMS?j332j9Cnvc$J%= z_{#M5w^?J6u=5x~XA^&{K2J@vc)Dn{(s#e*&_i@+`zjje*~Vv4g+m@U%Neux(1NNa zC+D;H_SWNW8K>*FxEUg(C%AEt=A5p+)@0yfI}wnVe6ym90rPU6<&$%$S;n^Eh%G)2 zZdY#70iFl?57vjQ0~a?Y9Fk>I;cOfg?X*g2IH6ZM>5sOxSv>(cZy+^eS1c4OtD9Ui{U+9chEi0Ef3C ztm6`IfmtaDZ$bdBHoM^|ga_x*7pnw05riZGw**I@rSVduX~4xNabJX}`%(z527;N4 zQesPV7zPa*^xR#V+2Q!kfY6WpMk%7R%jkA%H{0`LIvq8+Ao>ENQpSMeXOuJT)IR6% zuAg(b-E*qmiVrjJY~N$K`xZ}haMw?Cu;mk>q+P?ivgOiu-P5Bx?J4AW!DzA_KECS? zAN#^w_6+{GQ?W!|t`RDU^yf=RcL9`ET!TE$?enemq1VWYYajdMt{?m4kK|*!@A~wv zANusi`iw?*-P6$)Jw3p&y@MABPn&R2lBnd}JM7u&{yToq!T#23b@PJ~(79ZI`&fOt z+IKlD>@(i=zB?Ff{frG8&B0OY!+bxm4|CU>>tJ}}h2vzI&J43iI$nrPEKcTF&1MnfQ@8xpz0)LySHst|nUzE+ zc6u`I=?8%-9-A#QwMXcXA^89*p}<*0=a6RJ&0RVtQ-~-%VwaCo4@qbc1eX2JpkrsT zCtm8!9gkQ!sOfSndY3eFvq_9kNY(^e3ne!-lL5>OaQGzuxkz?yHejxw$E#!kfA@6p z%p!M4!VN=^rPo1fC^gY3V`;7^MR9}S3E-}~H0^fW*hD6B&HLl8sU95Xr6OAxAOAnI6$8{tZdf!cwL_JJ_ zns)fW{hye2^$#tQ1H{|>4$ejN z9RpKQ#7<;o|JFs!_DZ2`YNnKz=M{*J2bc(h7Jn(Qkh(qX#6Ki0QF6OpsgE~aLA>Qr zu~e^E4HM{fJ$(#H9ndC4d3(?>J8F4r}lJw&Qun3P!=dDl*(pqSGF*mHO z0oOV$>Ezs?31QjM1>PE^RudQ;=nxPjnGPWT3k|9Ff_z(a(|)D5gKC2U)CMhgjkt@6e zk|Dn|5ya7L;Wttgup41MfBv$|NL?-m#pJNuf)9k(Yj}e0vN_jml8`$*)?ut#CJF$# zo4dnVkbrU$GP^FLi!SVxeF|eAEV%3vkjx-fvKO6!3$y@ugx znwn0ofIt?Efn(@Z^h|%))QtvNty)@)VAp*nj1E25m(+9|SYFf?e7aq?P4eJDGtou^ zrw8p00pvb01)wye=iaDi1+JU#H$VkFi`4*RY6IIp9QL|%bkux2$jedlo%sA5NNR}p zy#52U9hsv?8H;C&s994nL;PS{To45`j>@iMD{2%EDr6))}$GUc?#FiHz7pw|U32#Pmuj>KPh;B2q(#ok4?WJ6vsu7F*s}{b^akW~UQ%&&5!|(13dZe=Q>w$UOqQ#8S{frEL(YW92KnuP z$m_=iTzl@1`5Z4N@KBh|zl1OTv4E5J#wqL{8JzL4`t!A#|Mqtc5cc#vh{Hp`(q-q= z6#kDtY|45Sf|UUCYLx$?2nu)FBu7Q`hk$D@;zFJL45*ol67?x&iF$wFSL;^k#EJT% z6AJG@{o17Tg59re%S_XxBiB5&s9$@gE8#d2=cOLKei6ONi^Vj8c6I+?DcPqdv(5t2 zo46~88J2Cn`j;cA?@Yd0@}OEO$~Ldx-N>~mnEjzMZUOj z8NoWUol3Nrp?|o{wN|(1O29833bAYfr4Nuyd34y@hCcWP?;NY|Lon1ksjzbXl%_RBk47>(AvNGP#5X@YjY|7E$~|`h#lZ z{5+nM{8PM0-YFxiNMoM_H}p9fd@p`Xx;op+#0izN3hG!F5-}Ll{Sef#%Pegl@ zo|ubo*pp;-wZc&L_3!9-o^@D^HHPxCX$5FSYk8^7SWRihYk-+19PU^L7#7A{OS=ZJ zv^IL}rR$@h(e433Nj7eAR;K`Od%QhKxv97GEq9M^*BNUQt;*7M!U4K6goLitdLfBQ ziA0%%5G2YrgR&A&qE=fJWVCak+$>4BQtMoBILc2|kD{MNCj6lQ9JtjpCn#&8LcWC<5}j*C6uz|S#=`%5|fI# zu>fSZDMhedj^)Xd2hW~8KoxE3#0~V7g4#-NNga7K=;vNw57-rtc=JYAQ;&kJ+*SaL^WrT%_(?-=%jf`$>uP_gv&rX2LHPi zeiwER2u2&)7C-W%TpTkWRBvXQcwvC{K`7T7We#LBuT68Z z3_(@6hGgrY3oC4LUSW_|1wnOD0(^=_m#Ijw=z&iNAwZEvW+eoIifYAVv*`B1iAkt; zEVJsv`};cSvNE)&9!V+}K$*e{^*Jq)042P6F8FNqlX(QGtXm_H#*$E5P>B;w2IktK zxfwKtb85c^*G+Z3K8j770&DjDzm)N9W7vL8R7b%oq%# zyL71*bsA!KB6S&p>r-5p(T%7kgUicwxnwy_v+lFYL6a0g#lW-0O4}L~LHSMG@*Po- zqy1=UN!bF$jsE(;cXK{VpO$Q{j3xC-*7K6PP0<$fWjx$JzJIJ^>U9-!ENzALFFK&e z2~VaJ#Av%#`jjx6&oI)$5xq zG;c>zsfW7;J0~C}trEQ&EoD)t4Hw_s_5b=oC->N=xesWo2@O8=ArG`aEG3Oxe2BY7 za&r7JJ&OHoFu8UH3N^cG9DoJ%--R)jKlopjrxgk}s{SSDw+!>eriDUM^xa zOQ;6&p+RZjKgCD?a9>beg~&|`2rfZfk37NVZh4-UKr)1fY5)i|>dQ_A zA-FA1QH5EojR;PIGf=FrB1UMEVvraN$Aizt9Cubd<=huTy%LO%Gx^F47~@(qU?S~> zpD5*@{0!JOV{rXnet5&eDI&?W`6XISF>tP*T`)N4dZ{<*Qtil75|jn@bBd4BAn@$dqt`N$?NyeK0g+V!d8)3Jj+qB=z<&53Rl;4%2!`mMyvu zQ2H&q-`d4}4;8;ve+JF{`F6!$Sq7$*ZZD z*Rc|(%^QKPYL$Q}C*)$Sq|^L7xs1Nfi}UDZOp22ldHRKe9ql;|-9eWG(B3+=R<1!Q zhUg34P)_J`%H-@tuTz;C8XmwM;YE^!%%8o-y0Bt92+_T>GVDZ`Si7U#z~_E7LDhH3 z=FTnHF*a#`M{=a8xkVBivKh0cbMLSkrL5K_+^~7Ncn>Hnr@knPxW^K#S%_lZ@HXc9 zraKu72XNX_RM$sx(5oPA8P%j(SW+<3Zq}*#794dg2sY)YvE5AGJ9&5!+Q@Ar#Bo} z20FSz?V7uEb{Qe-0P~q+J2?M@49QA71^gx?N$`R?y(V((3q%nbwgOE1u(5C0cl-@_ zV5Qa7Rvf*BC}44gTdU^DNs{vteTsZlW$coTLCsT8NR>zWym(twN zGr_Ab6<+de=Eq=c5`)5p1;Dv#G+ma;aDhFDPC~dVsAMDsG{BHZxCcZ|aFWG~@n#w9 z3jQL=nr#{feI21IW|TsEC>Pp8l_*H3+Dx>e7E%jknK)b=`j{Ju=G%Ky0oPh}1`)6a zkhIEkk0*0?qF0eJP6!LwE0OV0lP00iQLt2zzH<^n3Q6W*r_sX1Mgk8nBt zQ$&2O*4qu_;fUcW5NXyxNqRd$F>zDUsauQJG3OcS{cvWsNYvr;CF82i(zn3(13zl> z!R=ICe4fzRqP9`B{q1Ide>~i|AAN;cp|q;C!B*TV>VvPiBdbhT7&AhQFv#%5RUJsg z`EmDrx+rXM|9I;b_m7)f+`f<6_C;hadOMe>71QG>M@H-NcT z%Byhdty!+fmeIjw^e+nl)6IGajJg83qu!`zV{~P7L}!j}P$w5GWz%xImHzcgUN+cc z5_t&vpi8?8%{cEHln@RyDZTV3IV=`{WqX;BePdBl@7A!f74W|DAL3;Ue@xPGoJaX& zg3cnPB(MMb52^*+CTQ_iefG(f33E5sWHp9jD3U&dy1%ShK59;;)KGo+p)zOp8Bvg8~x=#o{Fq2n;5|l4`ku2aD&yqsQS5mu; z<4EHd7e=Smby0LuYz9wQ*z_LiHbH{c%oX=pyzo3ei$?ouB}dhFg4r^zc;W~#LUk2QUr&a`dVRkS# zgW9jv$V?{-01HO_Xf`gQ9bW`CUe6cGD$)P}i``tpVl=Pnc9BV{6RA)oCBz~ov2v8u zGeH%8S|}@ST*MlIJbXAfdN@2H&;zv%!OgT}%42n3kZ~;^dguV-kbd^r!)MPPzIs)+ z;o;T08eFieff<}s&!*~ryU|R24a$O66Er3XmCq}%JMNnUlVC>z_e*KN`w8U9UMgQsz?`+CSiNxq}%0<>jeZ1pn-l8aP=5wk+tOqhZ#~W!d6l; z>6fp*hzHxO8dzsLE+l^%UHH-I0at~q+1 zzNR|X`d#!O`sMT=Xr6N%+vzB)1KnqjMZrCcFO!b3*JbbwkJ>8 z@-CD42I{<9150$C21A@*73Xi0UKIyw?yPQ9Eb*JtS9SiDrJLLfknliz|o%^I`JL@{862}q5A ztb0>|qOHGA&|OCR&spvrSbE4i6_qy2Pyv>wJfg`y31RG(Ni8Ge ztE*weZ#ToiXz0acX;DcfUxK6kqCV4@l9_l9GAfcwWIQDfxRl9!-RFXHu*VU`ll9ca zGk*^IOQvRadIrcI(Hs{-nG#Qo8cz4{u|G&v6f-?TBvccK?< zXNlIWb_4?W=LA&(uK#V~Vxx8f_1N0|@4&F3-2V)>#?4BU0P*2Hqi9zb5s~x-?w4Ug zB)ieq4#kO4z8N9B=cGHsiFiV5zv?Iy=JG|^nz`TOd;#E`IC?tVRqJm7_CXdyO&A^5 zEDppD?H5sTF$bnsD-6=gLYdN*uYCM21!Nou=QFxnMFEa(%&o=h`vVTK7A|2O;71cc zgB+&7VOC-mTUK%FSw4U#h(Epq)9h4 zUk-A(?3@1#kjQ0t10oj#6rt%=B<6mCvxT%UDx_Ge#Rk_GNO+c>3hB=d;r$-Eyf#SN z(%!=#ozx}jfBEVO%@lBP{kXs3N}2 z$O%0`EwG7dTSj@gfaweC)!i*>8g<>F?yYB4JYbS%$)=E&lLtb!lM@cEQnfu;u8%Qf z!;-RWj3z{HAZ%-xyybmMMyC)*-7ZCy@R)-J?x_vhu5K$xJVk0tE0FCLHt)-%T&M{# z%`dZgycGJq5C~UOk_j`~!z%iLso{>LI;aD+O?BOqR*9r%$B);I}T=c%a}NqtlwyIEpGI~fgwaZgGm-(t)L zu3lz^0n0qKDfe^bGwmqW4a+02G4Q2x>$~b9`OuIL*}VByeenf0@2oS||F4;=4T?R6 zFB&fo8bJ_V+#Bpizbw@E|Dwn_gw*<4l*KyBu|y%xln+#IhVk!Mq%wt1(=0@^S!mmE z*8;Wul(cFhBZHJ0*pP`8hN$uVlr@sPOTl|3epZ*rql8!zY#xTPi#P}igk<9{P-B&0 z*wEb6x(#r%i+G}J=c};XEcYUf1y}btnZUTQ-@fOu5Yh0J*j5-z!oUP#!MUd6$y22!b(qwTxe8@kKh5dGu|YG!4jB z`DbYJ5xo#yu_GoepClp?BrLLw&l3tn5SBm+qG{m4BOlHVP$QEk)h+iCkff1lvXEsG zuVT%B^Qgi^CL-8LfX__bg^Lkg-BTzsdFNx0~rX;wm|ZFG^C`%toik%l?9@^$>Jb7+t|9YW_^4m+AR}Hb|*i zO7(El4fy4nvvIc)PKyP(K0*U*W zb1Vq#`ILwmn%S++;3OCjDwPIi6sgiHxUT$XdP-LYG#|TZDiNQf&fp)ACL}~w283Ct zOvC4)Daie&;EsB%oQTKqFATS)0G-0T9l!*2iK#8QNhb3w1!i{AAxdgr@%lWE`l}7m zQb^u%Y6454@}ruYxyEg@q=&8hc^q*fduk6BI_ri+CI_<51=D^{)uWjU*ox z6h{#Sm_bCvD$+U;)fbU7O;EARpA($tu!jVDKT8g)E@zmWU;bZ=e6lXLanG%k!*1^boq zy#Npg5m`;=l;sg9v(eQ$EWM5wxyiL{=-U>=n-KGcT#d%TIHSYh4}KW8qREMb3lLmv zJ}waSdGUcPO@2|UBIA8~5=-Fc4>AFpXkma0LB3-Rrfw_Ytf*A!>-mS4dyAS~nGP1k zvU@MsNR-&0B$QaX$k!4_Q)4SX$_hPID5N-wYJSTUnA6w@8MN z+63DZWtPZeda3ypGY4V?2I)sWBauZbprUoSo$JJlsC z%u7Z~b`q~N1xJMzmV1ZOp3gHwg%<S)wwsk4PM;oHjao_sQnqaFCh*GDlKZg zg~hZ!BfJ9}th9mfeXNG7+8Ep_kOUl&D`hoap07E>t$ZwX?nCCq{LebJg_x=_0m{bNUSD4}oMC#nVm z$EHnoE%2KR5pgk_OIi>3Vg?dpg-~k+5%_8>L^G93AU#g~e&!au2$L?;Jh?9Ql)Yv9 z3wpUxW&{BEe^774FuNIm@uXJxE@;Ju1!6u<(zjTm`*^Ols%G%HnPl~}5WfP*<^cG2 zum26=8_R7;8rIY$?#AlwrhEEi?<}UeW2pRL#itOZKKe>L*ls6d*^2{A@vwrrFa`;X zEBHN}ZW{lmPb~wKoH{a6dmlI<>2eo3F?0_I01>3UQ0s%hpU2QEeb`W>^V!DAG{w_$ zD|K!ljh(1=mN0_24B9`=oacEog~|nz2iCKx`fOG*Zo*LKN80dqjOLIP&QUbchIfPO zFFKcIgT$4~*A}`;*HFh-cTuGsS8B9(3}>tUHezn#PU^K|Q_dXXUtY^4M^o>5b=#)E zyH73c{3zwyO*|`2G#x*Bt#_>fSt;ZZA`oI#H5NaJff-ToTf|G(5cvY1;R@Ko!;-#& zQO6_fZw-lh#l#q2b(LUk@YRqtYi6F1u0~xv6*wY_q9vZHNs&6nRZA%MqOj`8PH*Ry z+&|vtv~7G=o6jYKLpw453}NVoSYdem_qGENiF{{5Sa~?FgSa$*g5e@ks}4s63>aR< zZ&}`J5*M9HHJ6hGyd|J9P$ObWW>;lhEg1ZU_XfL4=v^U-(n`IO*hn=Vsl4PunXsaE z1yA(2OaR3WH-fpBF1yLP$IP%xTR7cBV-wjbHZf2WzZyIo9y~lex__)IMrTE8dWNJs za0@tCDPH48*7O11<6e(3a^EN)PiX7~nF;D8!pW_(!+zV&dSVWn>MYeUA^uft7FaVz zKyZJmqZHu%aiTUi&<2(8|DE2ha0UrfuL+GT%QH3*^^bLs2$EkrX7yqCd-XDNM@G5R zb?tKZ?#Ol7`EB~i88&nHkIS&t`uAFo8zSKKE`E@vv9drF`Q@~QqEc3g-bjPIree*r zCI3Lzn_e{_z$+}+0U2`goqi>mx2;XsOa8j6b zuTB#Mh*~A##tWaz8{MAFd^MGD0VS=B$wh45&AC_; z#XhX|q?)NkVuKD}&}GrHcm^D<&X?xszz7Zv%nD=a12XCpSDPE%8;uTnk}O1RK*)5X zmzL)pNJC(^)z|o9@4k5NI04;@=xv@F9%<*vDpK{o--#U(F4|ZD5tkWqpgHcqO=&V4 z%#z6^3vfF8I~Y1_B7;O?GbF=7vqT*LmHeo#2Cc&hzS%+-|7^6 zRLH{0d48!zF;;#l)>cpx(rfir7R%wLyK{J->qpCZO!Mi5J%?_qo^uYgcp!XTst?Q- z6w48@W+wLv&AW1uuWOfJ!Xus@j(`ppAL>Db-PmEWuQ8I~5rs6qMfX7|&kYy&gYPyc zrpx`II(TY6&E%39acxS?Zl3yQ%+4U@0-Fx0%{6AAACNNFgFwRr+k;8LvmilD2HwrRyUkS8oCHh8$sVX*sM(WU z8O>e}((+&7TzpUmvo#%$*%Vi#TT5tNU*KNYmbZ4Q z$1(4CwjlURC6u{{3A9tsYyy6pJ`18>5VaJf8k+aVG32mh6846G5lla+sphxsNx8=9 zVpD`#I3v(fj32O74GsZE09S5mM2g2 zY03-PDjF!O+dCUn!jh7sQW;SW4a#l0%~T&?v}&+Fu)|gHNA+rgRD#I@5}G{&_HbQM zd8!@~^fe6oxeQrtlArccK6Ir(CLJ)<$$)(zntlU6Q6%jv? z4S;och(`4VY(ZV7d7$dwf4gKA#BJ!)$V9w`Fb769G`#0eC}c>2RS>^tm7g_kDhVpn zUlv-be41#Wv8Lv%*NWnwB2-^*k&UWX$M_qZ-HnKoJ*D;jmrT;)r2}kA&Zz3iu(XG)q^S_S#M6!tGR-6u#Epy}{`S!uAvS`iA zDr<$x5Molc=%tUV4N_K^o72Lpq$I`35<5Or;$NT9eG<&(GQ&&_l&zY|)ic?MzYhkE zyBEsn)+BO~Vf4%r93g2r*leD&=cXw6-SUzlvqZGT(&~v|SD}#+Pu@`%umAlI+5})+ z{;n6FK8jw0V6>4lZ+84TaKxd{z^^`lhHR&Wb2;sTlCA_Dk5OXGvq_hloml_uJ-GCF zaj-iRmy!H@z(y3cF9eN(HNgOLyv316H0IPO~N3LpDmXg3u$txbfP zAM13ODvVo(+Y-h*E?A)%wH+wxfCO9x7{_YLhi$#^xfMby^Q2q&uh?G=I}fyib1t#D zT30e5(}XUr1T+M6;iSiWv2E$*&5#GPh?lW7b+&5dDP2p$zeq3Aq_|N#U(mHY#_F(o z9XD#|^Ei457i&tDvpP)Lt7fAms zDq?X+wB=GD0aPujV%2)fbR5kNG5?h@bI@*tZq5h*L3|vPK$R(%A0Ek0te$d znE~%|4@hZw$>xW9o?J#>=f!!%H{5M1mV?rk)KQTFBHkgSLNL;K{f|_1@T|Wt4WigH zhoqi47p2_TF$?5N>o!=7Gpc@(Egj&K=I6AW(o%Kfm_m)}@4<;yU2IJFuX7ISN_((0 z5l5eNN!SrEPikX;_@kcft}H;s=xP@m8>5e0cQ5_BCAo8Nh|ISgZ+HEVqS>`l)?QSq z6=)LN`kYe4ym0cGXmHq=C-x&>EIL)Zl?Ixb2rv(AaYE~gPBn`QcJ?wBk=AgTjuGC% z26-BN`;nGKIYsa0^xKbES+klQ{`MoANC3WZ`>zvoEerONvQzXBFjEUqRHgz9k($C6 z2TmiY>z11p;CuDVc%oY{+DO0%4|Xf-+pv-_!Hf!g7N3-bw7;WLcn~U z=b*iOb-q>CUfOnS=Y9q4eWu&nqJsy=ri02xoklMAnxI{SEQ4)@Ly4M;jYvzen^wNs z9Z1+yLtQT$z6V27d+Nxo#Ogq$GZAzj*4w|0w%)Fy8tt|AYE}F)UhgG=1Z_T z;1UoSTR^}xc2NoDLh?fRzQ$pTLH36~eLy!)DMTPYduZbd!}>y@#lC_I*wl=*L6GXi z3XY!x`YektV5uwA13@kJTj++t9Hdj^j5kZV0AN6$zp-Mt^G>bAB}z4b{#k&`)&(=l z%+nHUiU*^?sOMy?r{TNeZS*Oyispck0Smp`4NvVBGZ+mAVrfM^pZPnw#JGuqiacY^tra;Ng;vKvW#H4Gt(Geq5^zR3i%1ENO0WBQf-09s>r*;3c+^ z|1oiQ8L81QbyNaEZwb|bIDuk=W}?5an9p*gs|L3yC^r1d*H5EwSW@_0tN8WKdrp2= zYH6UIM&q4t${4Z7dS_jqsg2>>tD3PS>{-014ZCX?NHFV$!3`%Vu3;X2x@~bVKnH0@!u7t0IVo4cO|C*Xcw{QO67DWxFAc* zmokF0l|ihW|9a@n@!r91bg~E1Mtg@OY;;;pBnP23GK=afJytXaE!qZ8^pnxI&N%yA z4L3?Ki}uO}LXDP0a;T)y%O4v?{AyK)+Y-Gct2+oJB1M)I@UNdomHXULF4%d3pS!9d zP72$s5Fda2CC;7yskIWWvZPw{izh?_Yq|*stG^H0QN{*Q?8o|cLpil>D3~C&`1d5X zSO<{N!ZS_;f2T&%Jb<2QL?1g=f8%qg9S+fyL1|(ALWL|0Sf=>ei=8TQnQpA26}FX5 zSD;v~Ep}z01@y&IU7xPVvQLwrof$n6KXx!L5csGqZSb?rY`{^mfFjH`8Y5f_UwHQF z+2RVddLi6k;n)9rxV9=#dDp4L$}fpa7Gu~?6G;G4^-7$X>dcke`XQ6#ae3f6l@VFr zOrKcUi_{mJugwTM8ZL3+bIR1IXj>>(#l34C-%ue|MMQM{Ly>F!q8f+K8Cu7Y{9`h- z;WS+n=ZZx$j}u6jn;p`2R`LrFp2pZ{jnwXPGSkL?t5@o+C2XAD4DQ)h z-(>EH4J25KpV#jtP~*Oa@uT*1DmoR(%hhfMIf@ z`}5tW`DQHc&e-@fvtKUNDDw_h>gKKE#ndNNj4C$cd_ROdHm-M`N9U>P!a49a0_#TFB+il_ zX)JJme4EC3^ut{J=W3HJU{3u;M`4-11Llr~A;5o{6>f2 z`d|OBi~g}Eva_`uGGP%iqoKXM2C^S%L1W7*M_X&&KK^j1^&R(zwegP{Vk2J>8=RJk z^eD&PDD&WLoaj&sTH?t$R6|C)s0#H%62rf48ZW7+dAcgfyN-r3ltg4u9=6;Z3bKMY+lH3kj_V$80JY9LMA@ll9*CY7ZhL^nH}O;cyDh(r`>A6i;#R z8OLg}07e31ch{39WrA^KI#|WsFs~MW&|%ZrSPGg_BxmJ16;Sk<^!hRO&wh zNzG~@2z8C0g8pHuIsRHjU0fiuq_nshA$CLfAGe#3nZ&(>N_y2g@TLre<5zte-> z-ARy}-UVdHFRcvuqCtk-$>RRWM1~?PlDyfqnUELqmDcLxfGqExnrly;#eeTOdleAHv^q}?p->>&*@;I8 zL<4O^Jlm*k6DU}VXk6f%aU}=&1w5W77l36|JOAtaN)2^8nOI#0n3;%(hpH^|iC{?( zcW$Bf`UcH18U3|DwP!IFGD4{r!dRc)e|*0VvKFF1D+OsEvdaaSD)dqU1P~Q#$iSQo z`Gs68kw1tW)IBI8B7;riXJ#A$@cEVS7tqC2C&RoiB?`^dJ*nxHR45$*XS!L1T7CK` zdc0ZPtX1w&P0OScd-K+l4MdefEq{W)#F+!{xY0dGQ#%gbM79S-9C)UM2WIY7co3h1|NWB-31;Q zu%`a7f;h#3gSeU*SpryyXE+d^w**+!*|mf`6SXTq*{wRKO(_%C`70t{So1Dg0YYIr z70Lm=G?3UJmjv5HAJhb;;SO$C?Q)*NP7Tk_?SbQR5l>^Y@dC1;u0n-1=J6Z@>)^+( z_b_C>M;pXGV*wlPi2EesMi^6K^r+~{@_@spj7}9iuo`!$3rDSARM+qw&2QA)nWZC)9tIC5~T;VH3H zEz35zYAw|5j*cdGbLneW8h+V7 zUbH>h01PI(P)98^@8X|{&(cL66)|C9s@LLA4VQulP54Tbr>Vb?{oxQe6Q|R(xyJ^P zidrN9Y7`*Vz60_EzUGsG6+?AP@9Z*lmpx>fpgP}Lvj}N_&^2+vSb6#;oJIMYavV)95>>wTuSn1}u z9VcHfgaohhg8<#*I8|P@Jd#|%2zQc6)i$>+A{JbMWekATtAr#QisUUVPyH;{oQq|20f@cY1p(oFNSX$6 zA@N0CSXmag`?UmML<`aNHZp|0%`JYSyki@(bP8Ok_2&N9#tpHdsQ;54%dH&6%kHnD zNWR~s2<9WaFV{}Na;a`HrKE#?Ly)P$mji~dI=KhAs&WpcF6f%MEudoLa!OV~&osyI z&MWeYA3OP`@WUJae>24w$*dQByBY2e4wWf5OG^UZ>5?boAP~2|u0ftwJ%`GT(38vv z3$fZ1Y6*iV+kb&8H=JojDEK29lL!n%4A(WmGI;)R5ubBn4l^i~1yOvAGE|nvv%*@~ zD4&Psoohs?#e~bGXu;J2e|&kzn*nD4jhLGSbR?_vA_H$1S%oa}%eN*uZ&T$x5P)}o z*RYX1r1{n!W`Wc$>#Lwu!nTN?mQ`<^EBOI4!ld)`d?v7U(G=yZRJ&rtYfsJNn&mmS z<1;!qhTP8R;8d3lWqO5qwOJ`k2tI|FaLhC*FF3)45@Y%W0-cFn*~i5o8s{^pu?4Z! zGve|v1yVZrVP6-j^Wpx;9KXu+T&nr}7q<{%bq95x)B!4)Pb|Q6czO%X0jt5)O43?M z%6F{78oB&fEhfV2yvQLd`7!+VtN2Q7)tKw@4260Vp)rXC6)7_rMMi6(um9O9@Tv<& z#iT++KrYJCwW=>az8d#6bZ!dFp=owgF<76H%y}D_gK}tds9?PL#T*UMe8XJH^}q5# z1vM_=**05MsiD5aMDBuZ3pZjQ5#cufRl#sOcyK6eE<&M)aPIxaBw$q#cd&@tAZ^s% zpccjp*pepaJxyfY$PWG51#Vjw=o;KMvprn-NEi7+nJLjjWn`8XPRd8&{orwt z@RN4|BR$~^0e-nX^9ViC$kbiw-HrEbJ!Iv9T?zjf7fbl^{DB$cy9o|=v;V7Gz-*Q+ z@=sa)hYNA*Jl@y!{%&Yyfp?lN7HZahw0(7ztyPu5N?*o-R+z!?#*RQ+9<>d&R1EB+iu%U|!)rDwlNuY~cB3Eo!(~^~2J>-Cda3RHl4|rjK1U ziAmQ1>CAHC2bFqM&NT&n2-Y4lw z<3!!fLKz)UOg~MU2tZ3=3u@fc^a6%cIc70$Mw5-Naz6%D^D|(9GGdPNbOw;D2t{*o z^*4;7n0S=HcF$turP5m)*TQ66r(7gI0^%{a1Iv$7l{#234u`CU;xH##g*{eWH%8J; z$YW~$RS%~mSzBuuTk)Nn#t}eYcA#nfhry)(mm9YhBM0o$Mba9n(;ih0gcW=kMOHzN zj(`neFz7-X87c%o)I}x2CF=le^+S3UPl3z;1XUuW^@!_iB-N#2T0G~kkUNt8v1gD^fc)Ng??1V`)XDr*QUV6WoB2_}%y@kZ5w zcm-?fAuDE=@;ao8#@lLoB)T3Q&VL4HXStTq-zFAm_(so=X`C)8D}r7eT9DI6JCX)V zG}y-yj{O6ZpNA!4vNpWj4&jii6s*q`GeLJhEoqJmGMKX@6Lly~7{I@e)rAMXAoZLV z$~FWGJb0s0S;Nkql#vK*6s9Ug+qtjSpd<#6s(cDsHfK&t{hr!gK>K}}K%yBS!F%wJ zpR4Z+2riTZ3CCe4z~f-LD^n#)7Q8*KR!}rMA-CaoH!&m&m;xT&(-~0R!`&g=&$)3-UxSqJREwa1bRw zsITb!-O(sYF3~@@-n+fJW}uG$?kc^#>E2X^>{TH{_BSuoB7Q72IAmcm{mjyjHz?!o zT)!O{p}Q;C{v$L(T?oFKX@Gun^j^YL{`Mo+d-(PvOVv0$;sWa72q_z{pMKb>f|@b= zp(;*?qur^801w?%R~Y`G_7v#^bEJ#qY`yC3&|0Xqj8g5}!)oAI=wvBUy&LZ#CcsZ# z#}w+@AY~6OAggvHYdYkz%s#KFRzPNVL7Qp~Y`@Z#_hw~vP*DcuFJYM!%N*L57z5m6 z(O`2Kd7KcB*tuWGXLeP$6l)Gw_ey>8Ty59 z-h2{0!HYb{3QKgMck>l zAF2i4`a~`GDv=Tlu&n4kvpGE)s%WCRq&8_1Q>Fxir3;lf&GP><_pYImWNVv{-Df^W zWR&?cc!7bi;hfw_@4YKC_q`6ETD7Zh->IsuQ@i{0X}X(ZWM=Hls2v%R9g(?r?H)EF z2r~0y#vhJ<{H215{uC6&3y%I!K@f*Q6jX#^Kp7ncLA-(My{xs~wPM9(S5==rA2X+G zXGE;EB4Wi_@8x-)rvpKFc7{A8Mn8nODl$?GvmI zO=;_`P&Rj^zE(ss2dLDPSvyO}1h084lJq>5eve?uga=5ENUZ-=vY;4?+4vwDxr(;g zwOQqg*%iDO%cRXk7MOH~gO??yif6T%goIHm^N%m(;s+an5f-a zC}vbZ_{UG;DKh@?396}8QJ=#;!m^?3t28U7x3D|y{OU0ms#R0>Zt)K@-60gc2O7W8 zbc@?$4rl{iUu7N)FRU~;1g4b*eI#!*&Q)R_(KG#su8Rz_EBGzASr0UIrxk+DF!>_R z1lujHMHUD7gLnY=z)ghy*esrAiLT?BT_tr{P^2wJx&t(Z1fGi?!LFUd{C&zoPh0Ip z&AV|K{_XIDu-E_a`+eXe<{Rq-l7v_Q`A=>bw$NI;yLAmPCyM7FP5MYXQC|kI(is46 zRGK4&mr_&(Nmcb4vd)GU)QB|T#PSGsqE7CsMXmuUA&_76tX5El3zN$dGUGgGLdlE> zCUQn1^LPIyr8JzncVKyq#i6nQBw53^8K+B&ts}SvU;1 z4))NsfnDiF*8&zroB=Bs!zvHd^aMx3Dm>!H35RylOWPKjnWW%^8LLZ#Z^M-iOUdO{ zEwa^ZwMkaBVg&=wT$HI@CpR&%`@@g5N_KzLcYpl;yTF9qN2pSN;_pbOvg6~n2r$;` zV8j(02A`B5IPh3a{ulVsRZWk$TV7Ip?B?wO&K0R9FeLSb4wJZoM8jTKv^v3s2s8Bu zjS2j#4aI-bKw|NgC9!zgLShljOAT1MMi30+O8#E=!SXYaZo82up>f)%|%Z%(s@i_ zzr*yr&9?b;n}YF&yke^&Ulf^5swJzGVBb6NtqwyUuA^(DPw!fgjl#+8L}JJ^ zL0dj^Zs~_}GLAls)c^c(G(NP{aB!>0Bw(whrFxIq9i@tBV~v5U#MwCkA6lNDwqw)IwP)V|fE#JxMoIlGCv)7GO(a z>K&jHM*!;sCnIFR`VAdI3+GIgxrW5uO+tSh`C z@2e%$!kYzMZrw6zBdwMFZ(@-gmb&}L-xsWNkAmyju&0txQZ(N9Nwct1EFy; z26W0XT|CB1bp=JOs~gkRI<$}xoXdPKFPyd5FqoQi^nE|dvb~EnvORwgfchT$Jufm8x<6nW%SZx|~l4c&%#^#`H9SUi4O7E8oy>tf1 zEY*j~>OWHd|5*M16VOc#8{ zJ$mVb2?-GQ+c)B{_jhy_1`*DJl@Fo^vvQX4&7iLM!}Af_R@3R*_kAM8nrW;>XiLe| z>r*$LBZ*fQofk35G^qtw?R_7gcR+{eqvUroyLINYksA~J()p_Qt*^1pZTL$M@yz(5 zng`K^sk26i2-9AH=_1To+vcFMPbk2@ zP>sY zm2HAR6mg=hj>4!d^n08=Ad{sS5p~j?g;QbyyUv-m0Za)xa>Pj;#lh{1JIw}B;y2H~w zY2x;-_OsYlhQhy%^qGed^6p@*jMq2TahL6N0N6yB$|fcV%3ljra+7U96iA2Jid5Ly z<11L-3zHv{AF6d5fxSJ=x2W?>_iOc8jzU+Wo45#n7Ri{LJAoG=6t0pQ*Poj z?+o+FePy77;giio3vc;$X?RH zi|st7m_$xz?nl3&P>xP8=|TCJ1{?~@UToLuI4(-c1l2kZP+2PbzaZ=c#gO$dF5onL zD&fw@+Q`QajLFY>IN_1$B=jno7Mbb(*Yw1ABjI9Tcy{NXKY#Yo9CE*!m^@xJvi%eN+^Dsf}NKD9@p3iIB{TlrmqStOH zsu(W?K!o~oQ@jxXFKAOOzyK`>r3b?>+|J1W1=6<`fai4D0>5i*@$P?rub+aKa;()$ zP}=}3wtW%k>PoxgAi!@`a2b$RQGseywf+;se$X<%pXyA z&X|Z^WmlU*IF)DHDd1JX%vmJ}SlyY;hBPERM3Fo7>o(1GI^>1|klY9U4Ka%K);Hdk zMXB5+JifDBQ?mg6yiwy3B+1G=pmk3q_C#CvSzb7Y;JEk8fbfz5@*yUrJ_;vSs zPJhLDwMr|wM$6wAePwCU8T)H7(pa_3JD8E%g&m79tB0FINJ1n;Z-9WVRSLU+dhx)$ zp{x?+LPo3g0tCRSXh^|aby|Xq%0!hhn_>CELOTL{#I>98o(e!LJ?u?_Vp9QsFD|ZM9!2pyAf^xc1_zi#3aY;?_z;C!sXp|L+${{-pnIqhH-oHRmB96NH5K5)b2`lC~6ew-R0iw1(gMESdZR(Cc6MTweyDn&t2`aV(_4`P{T=VW29BC1!kzqGGeIWW(laaWBd;`J>!;jdMANY@7;?Q!r3;0 z*&U<&Icz1HHTk;9fsqnm;6u|C7wNJda+oUsBUWl+s|g78a5|YR7--!HbrW@?GcJT+ zGe}6TKD-ZMa1c@z?zuu^U@sb#kdF{ANTMBo;r*W4Nxk%M9GN4BLDgIyLb|mn2KjP9ZCXJsqDXZ` zBy>Etnn*4%GH?imdF~#n0`^u;!VdL3X`93zwv~}R+F7Mp24VAh;QGr8eb$>+2UF9KMf{uZ>!PS= z9C}>#~p_g@a9WeOYoG!t|(n~;#VXLUa z#4Q^_;%M?VW19RpV>)=7F&+FkV>*1BF&+LmV>)`9F&(|zG2Q)Vj!*K0wJ+)mfJfN) zYMb3gfD$}AJ09pbBpHWd9ffi167f8Lgi{FCn5Z2L1y~d@+vD*xJq<&Ctk8;M4E5kD z^rBn@{V}20zKR*)^ADhe>(i&eU@>Z9dt3tnE?g+$!g zTe#~@XbpoZT|S>7on-7n%`@*{i#`u>8{*65vO76`;x1$|Lryc7$;}{y4tnlqc?|`X zu=_STD1;m(c#!sLK}B+=-iO*86V#!qfH4VSerPkS2tJg~TZmj&%1$q5w@67B&l(Ha zdnj*P5{5QiST&(GHp@polpaB6C$gk{)0^6(v>OlQcfVlf^Zr!Lg=Ax8u#UTbK{4jqy5vPL#IIuI@ z_=UQ|j{#Vas^6neAa`4Z$iW+?LrvL7-ic-d2NM@IqM*`Gh!oss>o$BA%WZZQ?To;0 z2rz$lvVMDSs6mutd}v}!cmHxX#9DcxNV`&_ZWfCS&}0_*O%iA7&L2Zm=K@_FL#a|l z)8Zzx#kT(EFVAsN8cpOu4KEBE;w23X^dJlc4zzR`?a(pWx|FGb^XdlvFhaZg2!_*Z z5T2lqHQl3gQW%N?qk+}ZY5WGCf8a*=0D~2s2Hh6aI$Xw$OD`VvM#ppIMm;GtgY#k! zKGe#)YtFK(i;C54ggM(Cw;7c1zDAOqd%Z<$MPIC@=>xCw&_b7m6Xui`%JAe=6zaO! zo`a)+x|VWWSC*GjEtu+we)|FZJKJtxMb)Kz@EuK@Qa)s^4Am~yDm^qD#D>T**vt1| z8R!FOZ8C6byRBf!ag3vHKY;aQq=r_%RV2?b=~%y4|KJ7m#mU;9m zINf5qp~s%GCD>69=~8%WOXJ7aKJ?Xd^liO)cTfNi zdDZJ4@Kn`_nif`c5(OqjpvD*@CU?)`$7sx*B zKty@0Eko(}%r!F4dv{BKN)SqnypV?3Q9Cc%`SjC=&z|}9A*&&YPySG_t#G(CkTVPh*MC&7SEHDcw9I`G9Ybys87+7L`Xcsn(Mp?r`x*0X5cOpDSxL(pCo(aKYY48Zis}kg%oEn0djc$#>aJg^H}Dl?%rO*^ z(!p~zBsKG+$C=uHm+{S2HSEK4XrO`DMJ9-}Yy}@X8)j25>}BMGKtLNJ@AKLRT~pU? ztK)NOc?F>(83>_5KHLO#bdDaTSh-iLhgH>>Z>u-3gBQR~^-rQdl7lW#k8rjc^3%11b^p<; zx2wr133Kh(m4oOPkv5H+(%deUfPOP3`E9=&K+wB*nHm|T{;VIN)ZS$D)=BN!Gj^4` zv@PSp7(R>!uLtUX-B~6S@LnGujWnCqeG}naJ3v|O_N2FEE-@DD-IwpzDS>O@PKOt` zd!xSxIj}f)$h`GfCQ@wyv6=W_<^f){rz?BR6THym!XFn#3j7|K6^*ncwC}wMg!?2| zw3#MS84bW89NGfT0FoEMN&0d=Qg z|JAuKSFulOML20uDmWoHI8ry&*2F%%O~If#6=u2_@}TCoq3a|rY@2bFU04Y*U1x(Q zyO2!-1Y|kP&zEU242<9s>T_+R8?&5#hma9b23I@aCfx)sN{vZTJ)7+V3N9Vpnj z0lpRhE8`r<)M8qwr9)i1tIZxD4+hFiLmymir(jyxTT`p!HQe}vC@(?`T@fJ*EyH8`_JcTEZRg6_QPyOkey*z7 zc=+uHLyBFdmYGD>bX6F}|P3f8-(d zMFT|Bg;DCO!RvUTcgG%U6To2>!J^|^G7&b-y3_bd08MJXP6VG`YEco`SM^%QZQ2)5 z6&Z#!mCFiez@^m+HI>Wq+wEwSO!6d#*QcEDBhmx==KTiR!9bv=L`)6Q3P=N27Ctm` zfLA8_?GQs#o8(Ej8#T$%%t?nJK``is!Q~?B3Q?=^1Z+g&cGCG>Y&Q56IM%f2KAC*<-#hz--6ilaGUmne@3-n!(9$y7h33D2<;l=hqesp4hTbt|n6*vs`bx~n zoIO#;Ue;^3i7wxiGqp;u=|7eFj}HEBQDDUP93dx0W{C zQ-ZB985Qh0Z7tPL3${ji7v2IZ<#NUISKDfXv?sxKy$fKa5|^ln@Ixr1TyqmPYJ5zX z(borc1IIziF=`1gkLUuLD*`pdHhgTC7>DHWSeHqZ+dOK^6`1imDf)UwfWKl;fWZ1g z{B{dLg@5?)@W_;Ev0EoRwt#DA0M1@@cpndsnJs2Z^(opaVfd3(VYW1U{sjG-wS*ZB zbZSAvczhhKR?!BWB3UImK3+i)V74-QAQ;iPT6UDZmSxrc{=Ph2E#I0}3g=9DZ74L8 zKLxXo2^FnNXUNAGiCHIdAnu~Q?HVDB2yrt|RsjtFaD!Uf)2l>YB14p>=+qQ3wyI-D zB6kOYf0-q(F;*igRE3A3++Zy3n?RgmbUYwnl1zV~*5>G7PZ_9tAU!x3@)WeigcU*> z}u5P(3ZPparFHb*iv?ZF(y@ao~P>H zTdGz-x2qbo?PO5jya{e)Vj>vNH;Zpc)1|~a9<0vA1-d7k`0nS6us>?yG0k+t_tv}=K@H$#gatKSGK`hVe!nWaHIRl2$D zEX#5PrZ!^c$qDo2{>6SRkVVal2v)dJ$eF7ZX1&dv_?Z30nt`U(SXBQTDi75Rj^kW? zh+Acdyl5b=k|gv=d?kC@0n=<~mxI^oYP+fr#q_ORCfa8F!gw8s;DjLVJl^}O^(}qR zlLO^??kJ;hG$i3_9q(5LV}=BhK=$X|gR!cn%3TNVNyr8#Gl;;FoUZMd#9mMy$Z4rw z!3O>bY(*Za+(1pX(-9O+(laGQR-Zu%eA7J#*9Q)E_t)NUXM<}C{rHS~!N`q9429VE z^wT*EiA`=&H;czDP?$$MfAnJzqGZ?u9roFJaevK-MAs>3C4YJGGiItGWL5|N=0 zN#^doGhi)5yzeqOhVl#;N^ebxeL*R)XQEokzT8)8AysSh9$fSLPmJ}gKH}sUWHR7S zdd1%QIQTI7EvCJA3;ZqYeUgC_e2Is61H-;aEH``Q)K@j?eBb@)w*!chnK(Jnjwnz{ z=-tdRx`bzkL#lFb!VJ%VYTP z6eKVob*zjC+{7wn)X;8)OC^<0p(*{v^NZ*cx>!Bm>*TiU#vywckkkkeB_#pse6jxY#ZK8ywo z8o`~7AH*Q0->@uGRB0^L<&vD;5&m$ zj*XcjHFG33vGRCM?8{&(Dua<68yG8pe<&sTc{A>2#top09wraKq%|#_!}M?bm6(+{XE09v7WE)-uk2 zNOj-m>S}d1)B!#X0$4Wsz_5 zS$dBy*p>SfJ9&YfFv*w=t03`zQf+YQ`lwQK0XJ50N{kycoag4W>?_qWikQ4g;%Mh; z6;+USPlh(#o8c^l!|h{lA~C@BkjYw;W?!u!_&A+#o*ASEp)3uw)1Cfb*n80@&Ejmv zv}s(h>E8`P{ryf`Wh8@FL_2iwff(%Ff8Afty{mYl&5vo80t=#T?_2R!52u)nl&={& zg@W2ufyL(82Ft4As}hlob?Kyq)Q#Wy>LE+TKV<5GFCIpyyz09&vSiLR)4stUzf%hp z|LZLS)NS77zeEA$Y&-3eK1NlW8nww6#X1@vnwL-DFk%C;yn8rr;pRjrUcJn{c>;;W zD$Ye5h+X*xQ8ibU0*BN^c#CppVZAagSw^!FPOD3uZCZrRO)!tM>ax5Gw?T^h3Ff8=ib zkf~;jl>6#Gi{RcZNPIY){C1K$36Ch-sxj%4U5cj=eEtG$%mPWNBwuVWNNh0Re341P zt>Ow6`GrV0RF!2Yif73TbzZ}3GOWM^hk+*e6&1j$7>pRlYHM98n@z20S&he2#^xYY z2k1;uoUqAa$TEQ>W4tX*lnz?7fi%aWrUwZ+H+Yuk?s-rc&$yn9B2HDF9cx}1Eu#RY zpAZj07;J&kE3m`5y^Ey-V)8Ui%;4!u{-MZ|nrH}32G;Pg`7HZJurbJJnYWDZA7Y_T z!71^$IaBy>04SN7-T{n~(X{*|f!DZRB90g38A!rjzc(7F+SL7JS=UO;6W|H1G)ES; zka0YNLhoq&!&+|)+|l9wXvDSJ@K4;jN5pFdsu1Z0sezS2GZ>A>>Vz9Q7yr#C-yjor zkuUJ%CI~-|PJNUA=X*r%fTUE7=wUE;%XNXoB=B(CRTL>iq&yjD?>wkv${nKS(gKwv zqA8e->N)CIy?ImHX_d}XHK|Mmj@tRtHLgQyhNT;hpuOO!XBxUxvz)vRfOQHGt-a10 z539GCn}rVpZ=$9mB{Hf^=#}!l07BAbQe7x-a; zCL~LTbxsDp2*AO%tP|7X5j9MfvTEj;X{J{qZWTyj1hNW0diDa{M_~7o>z!NUV@Cwp z!gALVLwRWq0}WF{xdcPF7KdHUGI)4zoZJxc{$8mJ8Z%uE69>=Id;$+WMl)~K9X~vr zJRDE<570rTR2|wzmu?AT%h1Z!@jnJ;w7X{0AgkSX^=zW90(G@9r^}bG72BA?a%8&&vgP z_AYIE7N&L@MyH{uBLv-6Y3{%(5Q50!?@sUSl*Bdw zy$?8KSP0DG2g%E5086@n866!)^h?ucKQjWxRNxcTe?XBS+&AS!38i81F4X2mmmm;^ zv}0;|D(e_rQf(NJZ7r7kqO`T^cqZaC(Qkn+1oyN3Mz&C_2uuW30+Ou-MW+WcY7Vb& zhU||saJw@X>=Mv%$IJHYWjC=Ude3fkE46jQ)DBv@buJDh{(vyR9Q}t`yjCBBG6j^qup50pBhccKiYF?tRV(#-p5X`bJSgtzr2ayc%TGRj zy!WEGf<%YF`__v32lLCR8p|5b{02W4EaLdij#i#AK0Af9=;@>-SYH#34roPdat9l5 zw~DX>_s@t}=mx`D9E+NoGt+S&j+wD7L4sR3?4769Pu0y5jQ690x2F(Yz@h++>r>3o$_o@e1bF{-{162=bZ8!4Q-nG^o*HI)QT)@7fP-R{a2~i^x z_KKi=wHop587-G(lFfI$@=>}js4C~xRlC4mPzU*$AHNhJs_gB99%>0J{+=R|5DYH@aNWV2h$#0$*5Rv_mNjWyCvCEK*@vc4zLZ)5dm%M=9 z=4mwxs^4jkmCn$&NJHCrk4SGZFWHdSLXEsi@$tR^Pxsg5N+laWK#XJ6yNjd3j^OIktpj zMF=rDC%pb>3pwWugb7}50bl%aQEZU3-6ls7L$NDPKixl#c8-pR!1;1Y=j^I~ z@M*ggu!0*oI_9OK$@9~6rCsd84xF>|saP|#`Kbs!!FTjj#s~Z3lW6Dc2%pRNKtCAu zWBtjT9rb@QMrowMJ!H0QZ3A`1rOM*QGdkJ{mpdf*+R#!u-M%$kO?EXnrPW}3c7%zp zyT8;;84`23c;`Lh`e@^w%=Ca?Ef!tC+F4!;Dh+JbaV1XennA1W82I*3X62Nlkid;< zoC5j_Wz1$qgwShuRwQ$|PCyc4uYoscXka9^2b}?8i8F|G5;a8TMk~2nkLQ7uxDNp4|DQcT+DC@8{9znE0 zW=C~ON+d;A5MqKfP31I3DH`_Kvn;slX(}I0?$d@}_%AREwM^oTSJ@M&>w&Y_mp9DN z0>I~5YjK`*w+Lq$Cfl2IwW0twya%T>`L)z&8u7x`JPAd_bW=13#r$X%v(`kSJ5 zWD`iWU{jbZg{Vky-1=wF9$sARUt9nb*i}+ls>i7;^v$y3>f*sXubg7`C+R$Tu6EiB z$N+RmzI<@^x8L`%M&vpI;K;s!CTW3s?303IU!ihZfPG(W{Ygg5`&3Xw6GSj{vV#a7 z4xRBf6}O!$q7AcrB4I@u2I&WwzPWjjeHT4a>)_*o)_EG-z`lkcq(KJ%BplKs^{-#W zd8N8NhsEQ3nI@OIgqNa+kJTxDkik5Nn`nZP0~2>uxk+;dZK~sYlL=h~rGmWrVg*QQ zHy`2bd%Ct(>a{yZEVwi(fGuok!2l8E=PR#-+rX`9=ygTiko=GO%>-6~GpW6KJf*vNqx1t-uqai+ z*?JRb7tZU`?A`xC^%-*`zV?NU?D4O#v=XX7d{Ht!U}V^IP3Z%(`(7t}X#i#gtRqpf z1yCZmZ$Cmfzr)I`_drS9f_uNoc^3m@yHLihfx5#7l%Bg_UYM|-d>}3n zx!!qrNh`{FbwQ2yB*~R|=~14bZK)p>5}RPcs9Xc;-fT5H>Ch$BnHT)j>g5j(O^Dec z>5eO}{J|pjya!SF*$5Ix)cYh8bRe=h**F9W2hnZ>WD_T*%wWKP3&&c4BM^p-Gd1rQ z$OLp*(jN9h;zQmctqEoMJm26|YpR%QHJ1yKdEDhmM&bUjNc-WHS|ScdXU71^nx9O@ z$6#p>Ch+rQba+ZXk4L8?;$l@7L`%r$9h@GH#5J4?QAQaI_*1pE|DdKMdLw4Iu!^Ry zldQ$MZg6<wR%!hQESnl`F9$J*>>*$g& zL(iCyg63Dr`3?L_Phr&E+)?KbTbv-xQNYxeJjlV!P&AizhFCi}an|O*M>y zBiV=*G&Dl$6CxPN224c0xpTF+Lvxt?$A_vHo}(S493O3#x;;rYlK4{9JCDEFrU(-DdX~K)w>L&&I?x&7oQK!h2R6K%`yhL zdU**5WixUpL2Tk({$7o%mFyp0MS10V{_#^tJ6>*tnasiwH^^O;QJJ-8lBYA{pKFV= zGAdY2J$P-jt5@J9ki%jj5*xzM2tsqIj{F*Ep_`Shw*XY-$wDaF;h!)+wmF~?vF3_Z zmHcL=$z{RMiSLTrz56TgxeAHTL*)Z#cZ;a2QA>1)<(voQBqW}{eKH~}EM13jh|oM^ zIm9o5&_xJ8JIR6PZ=4v=CiXK2S<{}j8lPF_!tvP=mKxms(;bvSE?}91ZEhyGA=4q5 zQ@SE|d~15{spmzY*UA7N4X?ng*yCe;nDPv2sf_aG>#mJ97Jf?Ym$%;B0cKjG(=S%S%A|B-nJv2d)VE}E;GZJvMia;u+ zC{eW~5Ndhl_KhJ=n1}0t=9RPJ#bOoX<%%Up)QXK^3pleo!sD-v=7!Yblg+zUNTW)0 ziCGdvz!l|9Y~b!Rrai49I^AwUIVI!8(&=ivsrEzT^;*r#IG@#d{7mSvM&EbIr1gU* zPoih)|B%Bu+PSWxZ}c_a4MQWey;VJ`3ibX=P0&JBH?^G(Fm)Jenu^*Py#n?$LPPNy z?lsi5R{zm>rgQ$AZpLZ>pz~+ESGEY8hp*<`e~#M`pt%}KJ8=tBR&rU~x-u(n@vWAM z%40PWx zNDh5tNdazcs(ie>A64^#E}t2n9UKIz;GQ_bK-fB1MEaE0PI#r~(vOzb%sCy+-TlQ* z8mKNby6{ugRUz&8c)QrDxji|$Pm05pkPoqo>XcP8#i*83_5$Voag&a~TR?)|nlo4_ zP~*0;;*Z^eqLP_(QxsRNGV@`D%|?yUWKN}Br;ynW$j|p-or=(w6uNfktM;B7O)={u zV9q$k59RI`qyvG0T({^Eh!ZsOVP|HG-#}CXXvS_0>MG8r%AMxgiryCC%Rns#wG^Z} zngd&ai@p96RLn)Hqf_(MPm|2ISovX6f-qFRfZd{x2;-cR)(k20zz{HzuH%F&WkJkL zA&ChU($k*omX3D1SGY%`F-N zVjIc{RklbqV?j){MHLuw{<2+l%&!M>9tGWgT3ORV-gU%huF?XZYWlQT0eOa7TDk-XZe)&)nTg?>y#~ zH-+dQ(^lM0<*m@n>CFx7);P;)xxzTDU_n5TOC|Q8qY=cV#|I;<)k38n_}A&_5d^K( ze{^Ng_uCljXRWnih;-$E(LPSq)U2!kwq;i*bGD9-j2I3n%4(pWuNf$5_AT*hVE00y zo+iCcK;vk^A)UG~kBz*q`lAu<+-Nl5|AK>gW&}Fo*BO)<;pyZpM_V-u@$G*3*|`nQ zo20onsjvYMSxOgLhJhv+Stjb8nU_jcIgn7UZdcPnP=v(eD4$$oo!vN&784X3ofhA2 zC!>SOg#Lp+!&mSpv|h&fRh@rU)U!OjK1tVsmJCwPy+ z>7=9{sBYoM9%)li3-mas%!-NRRX8H@h$gm3x!*jsdAX#u`1|OU7fKRCM3QInGIMQodwu zkWnHlyxHs|Lt<~-c~xrjjPfH5Bjx1DPcqc#K~(7B-ssT+_ie*i;m}VqQh1hfn0J5c zUd~RPD~dGfv_eTO&;ZVrtxeE{c$1TNqNM;F4Oc-|Cr~-21r3B<(HVJlvf76o&I-gK zHUxQvti(d+huVA=?N97MWFOH~JzSS8$&>43OR5UEW4}XX1u~{W-q52wR%2d8Pqs7l z&_yl+*TJC5g5%$)e>it3Z8NwD8QWGj9S1@0UfG)mW)tMtQ#Etcei30)IMe@)M);Q( zWDf1uPSFX5h*?{;p8C=l17G1yJ(KDdx_Y2?qRj??QP?NnbBEO7&P?qyoIq!g?`s|lp8>zf zdvqUvcxl^AnS67g{0ac7=D9N3XON<6dQ*I9tj4@4i#0|HS&xS7(K)_Bot*$cn@uKI zW>7U9QDqI5X>$&8n6sx-uelkxMK{W2b_!%*y8anL=N4rqF>8(lAboPo6J{rWk=?G= z=q%2VJw@}97%%b$K@(Yexe=)tBe0aH3G|ETRZ?E*l{JSjYUrbBYlyBI_)Wr_0+&i# zZ!y~0F@!LdRt}qBpVWK=?b{uNv|D`;MS#=m>@>PsSQbUuRP6%rDNBkxP^Cw~<%)LX zsJV*wL^n#0MmdT_G>2^PqS&Q>s8^ahdnx7>JVh?|Sxv@F+%*}EPSDZW&?E!~s2Pe% z-2GYK6cw6{wt%Oc8-hS5nf+$gC<-Ri`MT0UvD46*<4`w3{PwO|EY11CeNKT094xj=_g zA_16Oq`Os?@fnt~CfS9ys5L z^=TQxp&Rq;T3n!-DlF7yawRtYlS%YpME`RD|8pGuaWpy8c@VXJtgQ!23*X#AYf%Fz zE_-(M;SoLYBXgu+UNDBlDQo*y&;b5`#(Q#W7$|w+6SIW7cS`x zWWs7<5bvO})2&l1u})Fvd3`*VSFE@ZMfF2l+ks~dz<{JlN*5m+&Q6E|a~lIVGNvO@ z5;N|%R=yc{6xQLm*Q01H=llbF6i&USvyyM(dAdbvIp4N-YB=3G%|_4W-PdY%B4M~> z^OT5I{uNx2NgK5*O86pu4J{I|uCpHg+YjPsx?KQ8p|WBUR0$6t>(ufO_&i}#d-%E? z0Jw(2YQ}fcwi#(^bT&+k~NuT5qBAvCOYx7>|DDl>`yG z-KwQS*>!m!MTQqS0Qj~ZH&|_T_doS7E;cMKNd_UR4Z8b_v@Sr?v+6iT)TMGnWchJ{ zLQ-D+aZRq4OjMEk@lqKOL^!a1*4MgDxllj9s~TmuLb;g!mi>n!|0A?Ac$n7P()w{3uwFO!dlj$-XLF z<4idg=aCO8ThHtkE{941xn|i`G3y*0zdm7`{NL|&%9!*f6gyE%evY!46Jx^p0?fJ3 zn<=5A8!7^_SG}1!vdbejvxI4WP_^c%=@Vqlm??BZ{owLSASJd_RB}B72>psgUCZQ$ zXqnFAY*F}z__J0iU^b@%>yze-O%vru#aH^wh8QTIM~>9OiT|aDHpXcAr{ien#7NHG z{d+$nF)y0BVX-3&H;Ga^3R}II@!%5S$w@`1It0}TR4=L)p^Qf3gbLDifD7d{7C=oxYpP|c@N+1+4Rl;V`7aEJ86o&(xCYzgtkpdj|z=BV$ zao@>U>O4If5yWxZ{Y+Yuu@8hX>_yvkYc_5VV-p;dU~8xc_0v37(<91mb3|3&&CyhW zZ2>98#eP^*(2yr-wDAjNBE(gi$KCb{(2B1ZiX0|Jce?<-aF=fbL3;BDVc6Ifnm4|J zd~P7v1QXG~87tgM2Q&pHn+&8L;c4Trw2>840=h^IHI^}dl((A|GRxlr-2&x?G)^<%_; zM$g*aH|%@;21PLBsyTSkZ;D0LH9Oq-F}7L94w4#+d`O{v#i~ z>Jz>|;=}`n@jYD(WD1^d33H$Ec8))}m}a(2fSryuu2S^H!+e>nw^K+^sL$p}vMOdU z<7N{2%>_#uzEm5vfu);rB^_SUp-G=rO;>Myq%Y7VT!u)*Ac$%L%@*0I)+HX=0130n z8(^EHVuT*wI)3I)kw^K`J`k@=|C@93r0Cu5eDeYysw{*5ZWw*@8|cSM1AO;$wrcnl zI3Z#+YheX0X9(!yte$=7@J@E-^s9aRy+i{Je?;A5fnK_o+%anaNHS?}QT+A;);s

          wN0b9l z=I8jZW`17Oj817ces~Da?ywfpSBDZfLd>OTMlyAHqk!#o-6v@%*%%+1l8wX3VAxuf zOP33b05}pgHZB*(0c7yXhE&c&ccoP?A}*GFA;ZW{dEJxFAyqNtS52Z8q7}H{Hr^t? zsyv6%>zzfpF>%U8Nmw1yk%`PXpS=8H=yt#B21Qb|m{9m3W1iNAPyQ3^;-&853)uy2 z#Ntga)ky^zL6^L#dlk^$!>G3T)u7|?-~F%MLYs@E$chDZjCyp&fxJ}1kKJ0jz$d6> zlRQx;{d3Ki(fUoi+&ivJj#!Fvv&02=096&J%|yx>+DRjhx>Z`OVfE?~U_#Irt2Oy! z)W6?rkm#Yt)rQ7+qy7R4g|{5yJdIgb@@i$(hV_qnA*{WsE>E#VM9tdJ0^SbOV(tKP z4WwO94o|EBujqm?(QLy{ox(VpL{nOZ2Ku`#XKd6~>$G%Pikt{a?QuXkzk!frj0A9Q zwt!v7EnO_RT8;p-YMq5wVDld>WacFMC)=jw_{`9bfZX!Y!Yr!_}6Y6G#wdUX47NQ#C&|od- zpa7_Aa`GNe)te2@8%7EjY}~!muKW7n?w@+ESM5C8<2C5|p~u3em8s4S&p0>>Rv{M! zh0Mcdy)5N0V*viw>c8pbExvfPgt?rfon%ruFwU*&Y9T7l5N%e5qXle6PgWgbN2a1a zfN$~XMAwy+7IyrA7R&$cAA17=gQ9E{<82bofXH$j&J;+W39^ZF=3A+{Eg^nY)k@TX zhA0d5J&OVR#Ft4qPvX3RQye`YRKmf=0)%o;3vh5wCLdXPn>4RwIM_3ksSP_AnE;&L z*86sAi*(25MRfxs@(5G8AIy&CchblBU77bAv;_BFsw1- zhnuIp*D?zUVJg~>H4`#p^7QAZ+?3dT2F+ihF(~jNs_o90JO|wXfCxB`^zN^9vqGrN z`zmpGAsG4hc?tSVMf5CQ0IC+1V&9F=qD>Nw_4AV5q0o2;1m`nRXnj{`R<4vHJg#KGi6E_P83pe z(<&Ob(JD7nD!cHxEEidtJ0krnDR4*S>=hpvN7rfYv~3qE;@WBA%hmMlG8va}@#a*khMI{Rb3uWc~>v0l{YWj8`Nggf`uFNOksL z4MGVmqWKU&`XHL%UrdKhjhVFs9zFWIjo>E0L{nbJ1(4*usq;S8u!@5$_8r+P+es6Ue;4yT8hd*LePAGF6*y zktuH~$uy=Jz0&J6xd8^&SIMjym`D)k$XsCWr{B|>j3TuwRd`Q*UJ$^^6VyF&95)*{q3ue&F0}}nCrmU~e7QP+^#Qy78jKK0TL2D) z7U~nv3bi~$ySNRl@XJWxsUc?S-|ZJtq{=zXY+Sq1h8PxJ)u47OnzQ`>>hH9u)V2&e z>J~XBH`lk|Du7COESy74jadtz7|u+=A?bB@iN?O(rmea+?$xV!o^YWxbN7aBKuivE zo~5C}?hG4JtUPg;vSpDYkpHysdZo$Tib_TtQbL%@S;f`RUZgHmpk)QwW) z9$hzUfcspi0ES~qR1RNW3meSL%T1|VQ*A1y;OYRq%sjcoAPJyC5?O3MI8>h5su|Jh``uJummM$5ERp9dc2fxU{?ajxzn zs1<3(B4G%B!dFDJ|3^DlasDcOpqf_hQ64|IQbv&aDb@x4C47%rK6+E&YS6&rGxe4!qd%++q#XT<}x8|#~gz5DNQ<#+soAYX}% z6Qg*uvL3-qF*4Th%5h7NXSJFG;dj^EO}92LsC?YwvvlV8`V{Ov5SF1^us1$=Fq%Ao z!uH`kbR}X%>m8omwz`#@d^7k0mjVn*%>kXzy5t|Hk+SKpuNVe+*ZH7D;9Ek z20SH&Ae{|W2?{xJ+*dR{*&mOioudOsi|a%*qYmq9tmgB9Q8wqx~b0y>TAlcqH06sz1WxBj*u1`?lZ^peSr`1Mew!+08NFv8S;~;3)T+t6)rf> zuscb{9@CsvLBr*NIGx-9?rO^scLxnW(tKr|K35=##Cbo>vgOiHwLWt{Co_MwMV%4b z!z2BZEItG=o)X!?ZaILY8{8AokZi{BU^n3UPY?^V``qhhzxYH5u~sdM8wl2$^ke6j zf-2iC%LNH<11XZTbITqWJCfiB1(pvF6=*HAz?BIb#aCC#M2qvPN;!u8ahiiy(nFnt z57*e{Dl1}8+zcw*t(1);C166hix{+*Z=wZMi(St0O05eEw9eZIYl$e3-Pi4WkyOEv z(4jES3r1PD2Rx0MjO&-ERr~nV42k0De4BwEsWuhW#cdAtZ?LRox6#e5G6mSy$238z z+9>pRpj3_?i^h@x`$TxtGO27n%g!Ui0uZ{9x@xXAR6onc_!Un~Z=%0v^f?X0GNI&=vo8e-^bW z7aSGYv*FDO5%QS#j$p49zi;yG_Up;s_bfS31tkBR9bw>1!XVQJA9_}}ujq=?9=Z`29jA4}1$lk(8{?zDrBB^J z@cLtW)Im~Fbf)joT)Ru`wqr_??FPZGI1cOgA< zhLza%uz9sVVd4|*QCN$VeK)MTBVS&a)3oJm9#psvsj;S%`cO0YkI-`D9950UMeG22 z%|_aZ!LYZWOi;zU#JsyL=}=+- zjfss1sk!U8Ok+-du{w5NIq`NX_mr_qU17axTuzHJj($M;o$)e@uZwH?w_1W!YiO3v zXZlAkJX?`2S{`SPI=FLqV`$UE0SAT#hiv0qU8X)LxGcRYuGP6aF1SSbrAAF5khptLC;cW&sg9YA*`i)7O-8in=cn*;Yi2rNF$ZvqI-;p8*6nS<9 z@C@}KT=h%7hS%^AVyQ(mkV7+wu@U$jHk=wE*fcU1Ven7GbhR4BimflejhPHdiu zby{2U+rfzl^d2a92a}5|c>U8J|ERfk)aR<4%Fcm2(ka8M70+NHq&$+vtsXgR#V z=?1^r1X_UCrXpDfJPjI~sxP1;7Oqor=bm1Yi~YGoC$?fTH{f(w;hJFXg8AdN=>}`g zr}Ve-A1ZBNp~Onfz!0NG*)S~4sA-S|#%)!-@L4QxD;6+~@Vhec9Jdp#^x{%9H}Epg znDK7L(p~eknn8G%emx=eFV_1SfHoK+TeTV(EcTwBS*@0Nj0bbYEA2)HlrL|bv>;2s9azVN%R6lnbd0jBn1~AH=2XoFNS==fwqPb z@-nB(C4~}?u7%OA&AhyPqc}>Vp5b*Dh50&SC zaOmVpCNfu|PT)5CCYS1u*2ZP-_h?&Ls6zzTe>jhJJlP*lqMcLs$*P~klbyIvwhxDO zBZMTi38;EX7);tCZxUUc@do@X$)*4wNuqQ0)m|kVU5Hf?0-#{le@uTvoj6su)x4t}@=<6SQ5YC0jOim(` zfI)?0nUN8a$7%)05JMRbck1^QuW@IiK;dNyvuR1gr<8GJ{LVHh8~wPrHAx}tKC(Qy zu~Wt6<1r)g1EP(T*vHYUINw6axros@ummtALop90-qBVl8lpikAr7D|HHtLq4yc@k z5mlh>wMVAt0E!+{-BEhFN!u<)Y%zJ!5buHrRIC|{-FCa+#!NkNcX}N^tLk+elvC5*=P+4rBcJKav+!-=-hswxh-8Azhmz5>B5z<2LUPf^5 zv{5S84?z2C2_Mq4J2ecQ5r#VUsF$$NACIK1XC5Rt@`3_skqA{&c{3^1Hnsvt+XSsG zSA?3b+_uTB%?;;^?q=wWVF{Yqz>rLcO>F6W2ooRMcSp^sHB7C$RTnW* zV4ZdOnR?KP-2K0`xuB;&xY*ZTtnV5~!;wkkl=qiqVk?y358y@CrKOq%6s_vZVzw2e zcWJ+<{q6QjSqc#720e^w3FJcRJ5FOGPAenz4o1=h=hcHQA=nws)Dui)4IvBzvV=ID z{3+v&q%3ZMw@z7Ua|oHNP*RIqt^~b-PyZw8$L&#C$*=&z&|1M0af#_&Ue{#9iW3Ik zo0gtZrtPd94svw5e{k?~@R#S1kQ?tGpZr|8co{5DoRdkhnWhyKMr#C@Y(WxT1mzt) zrqaYG~&W!n1R5`Gpkp;m53yxgK`QrYzyc5B^hPB^G8p>I`{{B20S%alUhaL zIOTjSb){K((| zDJPB3jwvwsulFis!v^<=`^9MwLa0YQ@F)F?)FhZJOMzdl8?hR$SnDxY;MjSQ6=ggx zqL;<&3Oa;^tX51BzE)7Gz(u~Z{zw^ij|Vly`gIEFEea29isGtOo}OJxA1v1ZRV)+m zjK)TH>HbA@0)W?U|GMRL^{3ceS!Xt4ZM?Wo?JG69q+)a_;^Ytg9{4c|+W- zP&YBVon=HV+8tSz7NBl$S|Yz#twqOLpMYRfKxjP20EL!uw(L4XYb`_wXAgkNs}{8!4dh-JqRo_MTD*boYYzwsz-t z+51#V;ZP?8smYw04^7mV5Y7cGNwp+w(3C_Xj6_3cdMq!qZCT22HoON-GS14)8NS&D}KE!<0_FNG=`N-!VATr;Mf}Cngc-(L={*Xt{gY@WRJXAM-wPM zKwgWx4=GQU&H~i0^D@3vZ`ugy@W<^HIj?Kt<+?lxFE7e@Ey`9(!BIMmYUrqkCTegW zfQFa+b|6W?Hbhln_b=<#z>g+O+|0>pM$V8M9sKb99evlxND9Q90qJ%hBQ}j^R}`_o zRGu=Xw$v|~WqQi8WD!jFZgYsKR9OGNVL*_l+1@~>?r^PovV2ycVnziybuqr}CSDTp zD^8c=fXYuG8o~juUUhq+bZV>0kEW`2_9q|hG~K4zTx>ErXkyu#F}A)JJyV}HeDs6g zv%U`!i*sY}E-04fPzW$*!lq3L$VRboc=#3x>1C2*LjK1j#nxNclr9@7VW6$%&8>&T z5AJ_5V*THeB_qH5Aaq@uN^)6nWin~I2|%lwKj@{h(URMyPo-AIC%*Mh`AU7q!S81V zIoxxs{DYs-;lJuK_13p zYeSYcirg&A;#R#BK!T_vH^nlex_wPmKm2p>IdjS zo;Q14HH2^jrLT-lsgLaen)QLg1j5UxGa3rj1`rte9sRk7(SYBvZm4%ZH__yf6s2v# z4iuXGS|#i35$!TN<-t2Mj*I31AtNr}rgRq|oocp^nyY0=U)M>2Y!j^vCCt-kw>IbV z4T{g&b9+Tqua?^^kLBiRsQ(i@@fYf{*)j(`7ESY&3scDX*nuK-Ru=i~iev*eg?en4 zsKMlK(WX{%n`~%aJXyw9F)X!WARjpc`N9l@#vz(>>3m!^dPxrsQ(ysk3N^ag_IN2$2CL4{l&hEMBp z475@6MEN>R9cYDfYY)b+s%5-PO+&g?1Xf(ACwFedh{tnuAJG2rt+68btuG`WmN zz6SEN^E6j(8qA5^2+ClS=sYg7!WIJ%dd9TDMWP6sgi-+=`+>eJX^CcOwl(5lor5_C z+!_#WE#U_W-jKUNk?8?YG>_m|UU&r>W=MyvLpuB^hIG_Aq@$l=NXM;1I{qn!bkaJc zlb>Qpr>#Re{V9fY);grK-}{gzqtU2&NO1J07}B_PNaG)2NDm@JjgOF{Q5V!6>hYO@ zOtphv!=>~SxIfxj1N#X zwujB>(J~WDoUNC!u5UGc*0@+|BZrq;CJVq003$O|v^s)_gZWLYv3KUaZ2DfeXAX%X z!2l)xebknhNxAtU+PPZ(pzAAcQ0)1}5{Ro;2W(NmcR)wg%wKOewJ|JGsJFUj|2Odl z0?n$w)&LWsFGcjH{*a*vInNTP@(rS^=Xsk5X% zoVe~QEsVN16lQtq2KMwI891jAx=}-dzeY%*y5u!d5w-5G5tj{yu#nwmxXVH}Q%kBK z>jlIoo%i6akx4X@Dr|!{>sY_TB@?7OY^R;+B4V5^({;3@l;JA9La51%<+SuYV1w1L z4$vaiGD37#AW#4YD~EzUjH8NnXhJ{2*ZkN{FHup0UOUmj5oA8u40l7ISOa}?Q)SH* z4YpN`H53rbU&gEG(_&Mtw`KJ4{`r1XeZP(8;RHGV4Y1ZC^Qr3!{Sq)^K~H&=&hc-E zGGc~&ZnAq0f+Y|k3DPIHH}HbnV7b6%##EOn=6;>jDP;UIC+_`CJK)i`ccM{1Z`Q?^ zA9dbEdpxPF4-s18Z%*{$lFE`)TSXO?dEv2M1~SGo3XLb2Q`I$ofQ|Q3jGT<{^Mkbn zgU(q{%JRiFe-%%6qZjcN3a-dp#WIQK4DoskCK0y$6j=}9N7-1rIoJf0gXfZX ziXl*rJe|Nx{&RXs(lVi~wbYg{O<6~_hWbQSS({So6H!U+AOt@4(E(6TuP11*gvXO2 z66OBSZC2k`Ij$K4I^FN$YXZ{BcK2u~vfsp4Ngn>PHcMs7lV?)htLFZR1(!^d%}v7j zMYB~qWYG*2mZk4;xgR}G7BsJ!_(H!GGjLOl-!-(mBdUg#B$9@5(P5KBWm@%~0Kh;x z;DXaxi}4KGDhxdWX~(c7qMu-gaZVb9K7;hH)Dw#H#vY^3h=8MtrUg_%VlO~Gi9NAs z5Io?V9;IpCDIs3Q3$^>-sAI2miO@`S+kluNmjdfC=_GkCZI1>E56zA)gcMo+Q5&eF z9~UZjClPFNw(G(n5L4OH{cHRNzUF3(jOT4Q}5@4&QQ`tn@0{g~Q( zqdga<)qEZ8P&zTguAbAsLCT^6uWSWslrzl}+ppItvARY(UtZ{fG}{~a7_)etZsL1& zEH3Lc2HUlo3LpIuy6}a>k$NJ0+~^ZLC;Dm$szS54^aK(y+GoGru`(&?ieZxkMGqR~ zCY>Y4|AcfjL=S|LAB}^XJk)w$5I7DWp1xEOkPmkV;vDaf0n`01`ZnaE#%NR0F)=AQyU+&eWqL@UO5|wJRom8&T5~z zOH7AwKTYld&vOGeglemzP-hgG-(ZbDlq5;$NE5l|iue@>F|bOhQr-+}XSIsdH%pAm zPed)YxR9F)Hqc12jHNBCsEgGq(A7g72(FC-ZyCIWYxH8c&l>9vpKqw%Ygg>rc}H9* zqSD`kI_e{11AwR1`2kdLlKr7BDD@z3O=yj#A)1S>c`3_m z@MfAtET_}i0Ci^5>lj69vJ6Sdb)Ys(D600kG!BSKT&9^?{goL?)-?p@1l5h2BcOLd z&YVS!xiig~NnbdJbPd#-OqRQU`)56*C;E}h>w7vmRsa8JH#!}4i&03>uS1dU3j~gj z?k7p%s1<57@l_Tti&ad~gcfxQO&0ylS84v>DePW^v-~dl1~B8-px-Hi_#T6PmBrPP8Q)RV-kj=M|D95z)})&$Sk@o65k(Dt1E|H$Kt~^^mVNKyEoWh+KAw(*U)V{|j4=eTK|vwolH z>$4wLsj{8E*p^qx?Z7YSBI*FOT{Q?Q)?+hXoIrPTP|kH6AT8%Iy`VnpGOjsG)INAk z*DSw{#gR4j?ZeS1TCo%PdJKOc`|Yif51C`m37PAy(4^FmWUg4`4b$=qjPeh#h^a@7 z7?^8j8uPRf^e#kXsS?)W?IT!6KR%VUGnc7=Xh2O9c|FKyR+L)RCX~OkgHoHzB@07^ zdUw|&-J-b7s;P!?4$z&`@mOy@SS4)ao4&>mq?Cbc_~gX1G8M;2m*~a2S*+%kTcJlN z2$rcui<&wD#hCHg@u}m?X|gH%^{XXbJu2FN?O-Zd|7=%Jex04HRO7>AE<9Q$2}pe4 z==2wUp@l3A9uA8e@l=O1PBSj3S-zJo3-s>zuLESYlvU2ht z9HdpjVeBVuvv~kdMZJ5fud4Bk>3O7{joQLo1790n7;1HpTo9pfxmk|J(}Bc85#oue zx`{Zqj)QUrDelQgBIrcwFDcvv8;?`|o4k$z6o(%9-)u>8P{D=enVJb|a0g1%W&_K_ zgNdXyrri{UX}U2(agV0odETOL-*^8XzUN$6lcw9#lJ1qU`o`srV74vFMVxc>XN^<>&%~F6 zj7i$+G`R^qJiUAA*xtr#7|3k7l-S>>T)yVJsUd}CX9@>|6q)e%ur@7(U(JFIaPh7; z7;dF$oBV#8B#`@7H@Wj#{U3e#;#cLvWtE9ZL7Du*Wp)TFRiL>iP@0BmuOiw&h7Jj$ z9WRjr1QfKvn(bLA{m>;M2WxY?7t7?5z-AZA6shZ6v+`^8e`;m_`fCy0KRW?=*ppL9 z$KxOb8VAC9tbp#R^&DNN5G20sHG;Dv5WqRs1_E^6$WBu0NUkca^xJoPJ^3Ob6yR|6 zy&YrZn-C#}rB}Qd%DmX@3XqDRmt~3|AIjeF9gGk6CzEJrJOWwXPToj|VB+mKBmeN9 z%w+#8+BqHbb7_>RY2}dA;xvEwERrYDt8I3xjP*lIG2H#fxGaAk{i9=&4JXsu7#*sI zSU*>~ad-*nu0`J~LvEHNbLQAzs(W9;>PnB>vG|a=2088Unc|H=pZin}^n362r@7h5 zPtxnbPtxn*@3q&v+xLC*vc{a$O_`(v6w0Du1_@=#U1_54sz#U=B1+r!1QZdC7mkl| z07e7E0i1uyvWf;wd!w4r$XuXds*QnuwlS2tCVBGxHob-v!bawGP((IK2%raYjhr`c zQg)AaE;rF}nhzU^wqy(kX+VPGrJsLka{o9Z(#qvm9PAAoIhJW!ZkDyCoTGYLe0K49 zbb34*n{^MYk-cZn_MSZ9%zU<;wpMazN+G15!X!QIfsNH0cMqM(_YnrjY*eTZzYh(h z6nhpr8W|L53`QDMFemY)8Mxji#Y|S4$7D$6C9-r_LR5_04Y&aeKDu@rZ5ptB?7{yI zoHCdj*oW8fc~U;)VKNu*GYV3I$Z*iVI5a9^lg_f;-Q@KIEhR3 z%5Pzt{gj=$c@l4yl}iM5sU~VhwQLlQH8>a%;cWoMv3hMz6j{*^NeSXo(1)5m|5|H! zTdF+h*+Qf#hswEL!f1#C**UTGOVU{U2O+UJ#}e1$Yv!eVy*3UgFJ() zzv=S+HAXT1nHo7ml zF{zws7Lvyr4p1YpW`EU3AheLKHju($Zh9PIth+}z!0_0SV{m^mZ{Qa<^r%6~xxWuR zUAdbDA}5w&88$P10G}jDR;cIku|D{;pL`zh$w><<&GAt}N+eesRT%`aLC5XT&|o=i zYZWQA8Oo+zAiXQ~9#grX7aK>dNXd_ED~xh3Ug2^}6YEcqJ*d2jb~)lg)?wajV-A~f4LaY5`XK&_4KR*t zRO1*=vn0MUt6<7jeN+}#I7)uLU?z^?4NvrW<6#JV!(h9*La!7G!ofR337#@h*0|Q7 zq5@ls7K|qT%`<%YN4oooclQj;A8S?#tAgqWD(s74Zrsay@rpZ7bun?nbGv3iK_0>c z#6r4rFelgs|0VrLn1D-Ma;}0&%PSkD1^5f(?rCD43dwKc2~>KzePFMf*sjr zhVq2Uy1FU_+4NJU+t#r%t$hYB046KfWzZUQ1ptT*tu9YA`Uj8vijTMtg5m%>tCXJW z)#}Zfaf`-=n#_Y0uUqQn=_DpO$QSA@K%fk($>~pRR45N#b>{X8r^-ud1U)aNlhvF1 zZz!S!MO?hVw-!X%a-&4@lEW!wbA6W2<4K*#ETwKUKzXirtsWwVI^S3GQv&5u-CoFC z-O_B+s0U4lixTqg_iS0`{@sQ}LvTV8X!)0RJEHpJK*DP9i@`oHceE;P>9TMjijsSk zfIsr$Iy(6FgZoBV_&yfGHv3k+w{+7k&{Kz4#P~h!ch=ST z7Q(aNegNz5w&npLvWCL~XKq0W3lXNp1hc=U%S>hX`=2h-e5-TR{Urq93_19D7!3oHP!iaCAMEMdM>cY{7EoT~2y zSP9f=FO?;^BDKOrs1&;^{^3O=WX>5nGd%NcVGs@HhMF4=dwfqhp9kt&_v^E_^{-ZI zuGj{ka@+gx2VA3#4ezWb!+|N}ZAN(LMmH{hRMu?2Mn$Q^I)e`fQFXhT78wKq3^NA? zEjPsO2MQwn?)?D@>D{J`CZ7@Q{2bPWf8fuA z$-!%{xsfAWZKT8x{#Ck~W&l(`tG~&-$TdIl2~sA%q!5vW_J5JCqG$0fP?lL11}Pvc zdf`_Dt?l+D1+9^QGVA6@@PEQGG~zfp$UmUSVwJ_K3Qnql)Zo*BZ$y1WuN=9f%G~YQ zJH6Ypx4zr4cei6rg^IMKlyG%#RNuFBL)rMiUQs$`W)20zv8%UWWEDoWK^c~#o_?_PE_}#qTj&U_a=)fB$_S!sT!_^b$4VNP*F5Gqid> zj$IJ!(Ir)T(r2137JwrO5MMaZ+L=zNKh_sC1TQ?CSvs$-U2?zH)<5F&do{j@Z`D&= z_HFwUI=xrZ5cw3&$U%<)T&EEYDV&M>c z!cR1TugEmGvIG_@LnNP8Y+GOI1z#3PQ7+Or(g3bBpTP;_N!O@sH4GQC1qmR*NgSB3 z85&F>YkC{9_FIZRwu%6fm>f4HxI|XP43>b|KuV;uOj<2SWE+4Sv2(6|{xtX+!-5X- zex&utb);9o)eKuOg5tPcPv#wWDG1C}L&+QLj15C=8jn*YF%$m+c_`wEF*OD3Ly#Ob zzj|RsLKpC(6kztD9=Xjlyo%H_PqP`srFZ7TXq#iuH<{aV=|R0A%ZQBcUXKGo_THOR z_dGDYYR>-3nF|cIQ4{+`E!R+^64ajzVfHBd5Sye~4{cVw@OaRjd}sz-@4)}4GXX+6 zw9gW_3{Ta*Q>Mcp69h5;R}$Jn{kR+3O%a*8%PL5Bg~&tPVL58=0vHHLXMmUmtR9O5 zvb0%z1$m+IWE|~Ad2$oo0;lj5Kn2yWBTZu_A(R-}Zih;`DNnr;5G$F)>#NU8<6jKZ zv$|1Ndz?`n@Bp$To}=bzDw!*>U@R398a#YBTiw+GYZRzY8iknybE*omx#RTmXH_ew z+`VTI=lh=6DRY@j%Pn94jOucz$S)?Qld1&+PTh&*qQf8SRQj#`R1fkY)KfgQS?O(G zT?|rZs3tu*z6SuS(dB(Stc{^shC7v{4T8$u z%u1?cB3_uqmIYUOaG*ugqBNaRp^wadG%?isy0^BXr&sBZc;19HZW$>!MqHB)983A0 zrZbSt0rVJ5Wf?jRf4-IZOj1T}k^Yjh{Vo{M>>vZdBgVA>dR_xA)4)C(3!)KNn*ta> zpREbgsK#28O2$`MHebdmfT)a}WcDF$094=rPS9rJl=NCjzOm}4qkH97^}L;PlVaQw(5V+P=eU`wM` zDo~osbF!J$AHbwXqVehyH6gY$=I_57(NtuzFI%L6Lhx#hgiu{+)g)DIi-(WS<%gX@V942g19l|Lx2v+3NM6L45Y+2tL zQm^Thc``mT?w$J15%gmV>L3FhFYw@YO*HW8VQfG?WoK}kFsFB37~MZLqchDK*w(N* z6S&mXn6K$+;$(+{m3eX*LzHluEaU4Giog7h?mjU=v1n(emL|1V-40thO&`r-<$~Wv zkHA(?>l$A~^_rW?qq3{fj$lu}-7JR=@5ngXIX;9R^;VUwq8@NWBC+01Q4i39teqj^ zua6V8#eA&Z8z>|`)e4Z)oZr#Vr6?*Xka&!!AZlWRIeE-J~7LIueU6w-~w@h7CDSAx~-u~ z^pJF5ZP4w|M~`TI2w=L7U|L`?RLiJ($XoLH{_=Y=DDa8H3?MZgXmA*Mp%?)4j*;YA z9B?Az0AvTq;upsoZ(BWG?Fh*wuZtpeeE*TA;NmWgk5A&Se9#c8>BFX^+8?4hvvqN| z(LipK)(toNYj}6Xs;>UwNL0hJcYy0Vypd1euiG9r-0LbKA;y&qhYltQWTr1?+q8+G z1LEX(T*MN{D2HIe62)e%LC_RMB6ROH^ZhiE=vTHniv$=3ED-I@DgO9}~qi}&yR#)+S-s_t(rKG}1tGa}Ak zoH*w_@B6&ZqqEuOhKe=VMsxrXPXYQza|tk=n#<(^8*I#?l%j ziBVq+$u2?nun6pjmK=k-CQ6=}Y30Ntj*;R!7?;{xkcrD8okpO$*@yr9`R8Y656;do zS&D>)J{OUp2Q&EU;VW3r$hrGJJL`B*3n)bN;)ec?1GFwdAs|e(CU3RltDPd5cu}YP z<2sYSav3gR1$^i-J6e$w+-DV=C@i8BMCP`vQbf+wh~4-UEfvH9#b&)mBL=J5?-{R* z#i8<|nL*K~O=;dJTpRg2-YA}V=KsE>VDjJmDSXv$<0Wpl6`6x505r<3>3`vk+n4y= zB-i zA=|w`Q~EBAevSov$QF~X*Iiot5DWN_ErxSMa;NFMStcL0z4N<$e(?MUoe`VqrdZ!; zN>B+Ovd!91yi2onF7k(LIcj&_vEAQr5g)SEDwunhW-GF|57};|%5|4^Kany%Si2=L zJxI;x$;!A<`6?|(bF9*b@bb-BqJ@w-2B4N5&hH*IcL34_kTXH6-02J|A zhp7xq(s_loMh0Qj9cW8US%vIpCzFs65mTESja(@uE z75_Zb=&-lma2CqYS8#E+Fd=Kx&ov9-`C8&?41_W^rqV#{S12H!pt8;(9RzM3w&b=~ zm>ejEZq^^fZF%k;?ksa1+Wv5ZtSNI8!^$^v`uK$C&FjbMgTV>BpJC5Jfl_u5(P&|$ z?galOeD6#K)j1yGZ#HXZv({%Vuf01wSL_JcVr&9T_s-au>)VXY@q+<;I)?}L*c>}! zGc1qI;lcJ}Q^{>_5f#?b+|NjF;-^4zZ=arB!uyUzb#E=er~Axz|8J0#dI5*^ILsdd zg>}y8G7%u7CRes8tY9n-Kf)pj3P{3(ML;JdkCz3?6XvxtUa!+pvW}NK(XU|^;s5?B zUd5zS!(!yZmZczNeyKf`$xzps=h+A9jOv3(?eIj^9nxMMyXosqQq;BmHDCW}HXgRD zWqtF%Q+IrT4k&>mER#Fqx4O+-TF*9l{Tq=RKIF%-#XC9A)4J9_rOO|n?YfnBdmROm zgw?K8a>EDwLR8oIb*O2#ZRZ3BP|1VcdGbWg0!ZNBu`KOyTz7a7i3<+dtq!+{c~vm3 zR7bn0YbLZM=y%(SMH@+9X+o@?P^@Wh&*BuW41iStHj{XwMcH#BI3Do8+6?G&PN=Y| z*C`6SEfE6N9Uk^N70y%N)TP0p@S0t(1lsBcVjqto#7lPbX?;TFEwx`Q8qZ)j2npmJ zVa#ZRiNMY5JP0Fnl)XZbc$Z=x13xWDuRM`*N+O|{(HuUz%}T?sh1F1y*YL0R)dD58 zU@%v?R*tPQyDhzedLZb+g3>F=O+2I#EKxyI4Xz$%%0FOPctoJG=>04mBO$2^N!2p7 zN&uV1I{RXtdItI90b)WQ54{AM7gb#{47g@dRl0PfP(>n%7V)pD2$t^X?Pi&Z%7{Yj zX%?xcWk?vk!BUJ3-+`^rfEj~YQ{ge874SoJRZf1I67AJeNIMe5YwkJOziFQGI8=+)vHm}x{0lv zZ`GLG>SWELqL9j{G_5z;uB!Rf>8^gtY{$uWO*u&(@AwMr59;hIr-L@`F?>wLYMLRX zsyg?Z)2V)W(l@YA)lclV2Y?Ymi5EtZ(fWJsU{B&TvW=wMBpHml zX*xHSnFs&9cK*lGx*3cnJDy18kBv^thLOKodw`%u=>{k5XKJF$9)_zT>&LU2w#xOv zAnbu>Hu=4=utSYK!K{p;0`7vo7y`D!w**#G>WEzMYm%pp1vN{u35Lyk75X1R=ZLh? z_C8kX3ROEJotU?)KNSq%6g7 zm3g8H#ocpUiHNi&*_%CJvMiS7^erkpuqw1<4}$Jf1E+*7g&|(b!qP9_V3%CKp`DX) z1Y6b^+Kax?@n+=~MKkS-e=-LrD-F718F0eBg z7R4aqgdUUc!quofu;RI#pY+o{8!c&CnT)2XAMc&CnU)2ZX1c&AQo z)2Wkt?Uc>Qb+^u(-lj9BKh4fCtJ;>G@yXNf*qLE|$36^h(}%&m_F(`mI=W*whPUa) z@Ls#|`|~^YVgELL*uU34#CPn%ZTA1ugP-W5uLA&5Xi;NP+;82kbDs8J3oWj!4JdsY2b43r4_GIe5tyfS0 zr$I8G5gE{bM+oWTD?R*HmpOyQq#nqt_~i!mh3F7_hI|K)IrXh6=>SfeQzNToB~jxA zRWBbu9_Ja1M;yR(DRMiyH|Ur^zj{GO50qS7se&~hU52D-73FI6i`RApB*p|}PKuC* z8G6fBJx7cngYiMBR0!6ZF6P?w67Ls(ieQcziL*u9kn6)BIs-b$U2-=ERpQ zR`cvSVZswhU*5rfV&0-91N>u*?q3F_=x4flA}J+3$9<}Q)_w+g!o%d*K`fVeAy*zd zll(lvWc+v%FW|+j5+pIv5w2`rrkT)R9d!I{HVQCaxZUSuavVdG&oM^)f!GB=LS@=7?rtbr(64*OI-U^tfi^6!nIr;TcQK5u# zROuov%1L@@WuVj3ux(iXqOzKN(o`IKqu{T|6{3(ORf$pHI8tkB+VFtXI*>tDK38Gw zv|Ut6a{}WQC_Ev1g4Ulyzga(9_Q`)Xo{9K-@D&V(5B7f%bwAsGaEz0?g~o;EqD7v_ z%29^8<|*w)7;UFpZHZa0t4;vN>8kEieK+=^ZvUvd1602fNm;jiNllGz|9)CYhy2SQ zHLAl{LB)~+OE8%ZiRmcGJnY4{HQqBjtZlKf74ZgNX&+j<&f!fIqMYoijp|}_mb1h* z-3VW3ri5dC*njY|r%kJjuy)$rC}_O6Z9S!VFF3iB*7Q)L#2c z^X|BDK1IXC!No}BsIu=|#E(+ZLeg6YMMZ0-Bc%f((+krv~A7Ey0k1dDFSg^EW>i`7ko+L#1TPgmSQn zh(e{rMzFDtFOsz;9v8YesOJUjoPP{9P+X#;5rlrI5(VB57Xwp7wL;bB&4p}@F$OPm zuL^a%{3BRNVRa#M10S2D1=9T>)t!{m^U?F0Ww6a&^1@aPj**#%*ZfEEn&zqegvg;W z0`uiaz+CHC6*5`~QH?Yj-)>j+5)*v6OE?lu?3h}L@Z`bZ5a+?a&(D&Z?AY{}j9IKRkQ<_18^| zn6#-;fX>ej$FGJO=l0J_4ljv>A}v|btH?p}xUVR_A7+j`4~00A+e@0&TXeA$Y2E~%Qs=H-B%;%Jt^#&+GnV%CC7*kWjN66A8CG`DAH;uX2U-i@H+U zjub}jNi42c%7=@%=sK8@h4TSJo;YJ*ufb(Do6X6war65C!E{;Dlu5zM9Md7HjchZX z;TP-~3FdcC`&Esot4>L&hQ>W-%CWD&rVndVT{*A|fRRZE4YwHULUSoqZo;wT_W7M@ zNV&TCPaAm)-LEc0U#Qs;D`^Z%tb_N$WoVNlegGOndQ>IIm5)YMMR@dt>KjG++H}34 zGJHb9io$OG?M6QCfM5_Wy&kL~Tz!?C z!2fiibQaT}Jg2_l!44zoxZ^-a9m8!NS|C*w(7kOd4{y;*Rwx|$T8bQ& zy=_B|?qRr8Lr(6}kdymr$Z&7(_LCkTzQ=|f+@&G6naTUqko|npdM0Cz-CbIFcwfWC z(RpLC1vn#u4Jld@{bHvFqz^r$MSKVTWhwvt!AEso+1T^R+Rj()nQf7S1*5gE-P0Hr zi#oKob@X}NGT$Tu-Qd&J=b${&KFDe@Ae+XraNN8uj{SD7UJna@OLwnZ%57b~0kff% z+xK6ki4dopL}D3{Bh*|NBW*gIwbD$d&AtB3qbiXxvO9B%iAlbiI{LvK#^Nj#>FX{z z6n$0+w3X;n!_O9zWAPu#2jTb>;WR2)y!6kW=VNsJfu`M##f$F2$95_3Wur%lzCbXn z$h%~Ok6@mTP%`(;=J0&H|7LSC91Y%Vjt=)#wuBk}WR({1uoq;a`D*Zj(4rEF7B(|GX-4X)htZulI%V)3{C(@6hAh^F-eXFDt%CmUil(l@w4B zrQ;{%+s6j8=A{lUYE>6&>w>$4sF>LE)!20~CW{wg)8Gv=!F+}Sf5KPux9a5LD08TM zY#*E+ANG%rv|e023aP}lW!7U_CQJ~BoD9iT^gXKdy}}hHrw>PQZP|mkT^m{xTQz4> zSLBn0Gm6}xgXF)A7z|gd6UAvSJ61{&`+H^Z3<+(RtXgM>iuQN-F*Pa<#dSDgOUwa} zuR1Ik==OPrLNCEy`@srMotY#cD|Z*svXk| zTt!msOvTsjq$VYBM?Tnda$?}$i*!QwB?OUo;#C@(Sns3`d!<$W_>!C?l*e3PeQ%*N zu*i3Mbxi41Y5MrGgu&W4-SJ^bFIMgtYmMNMmSjV{ePlVwC7+ME9VQ5Al)ki!u?%1| z?o5Upl3Klhm6;C!tTV_~BhgQq$^B8q$U+H*j+-|g0psFlqQ2z>Q7qvc~@?~Kw>0x3_NoJ{Vi)@y<^>yO5GAhe*p-A`IR+(vZuNTH6A-HY-ez%sH0+V+x; zI+uxB05KJV6+bZpNeq6(Ppg^nnVcL`LH4b@0*G&W1{)APijuUkVCB^r^sr-tEy}OB zq$YpIF;*as(5sbe_xMJo#DqJO_|vuHsfe5v*_N zSee72J65jyTAimSzj?CzXuj#^Frm~_bf6X5Eo)y_ni04t2`bA_2~HE=3ob`g%b`z@ z+ld2G!C0K~yy`m#I2hRm&NPF802;pN0abLo%)bU~kGR2THYSa$i&i`|DEyM>!& zd>N-Cn~W1WwyGJ;H_$R1kV#sMLp7=aqwDumwR&28Xy2%pWnTz>XHU?I|K73Uf2F8X z56OmC=9dgGEC(d;BpSu~z39v0J;a0=e6c>|DJdWpJ9ctW!7owiYo^N$64&z6E-2{` z{US$bdLQlYL`R338)-_2x6GYb@M=ZnGO{C115v`rp#cy1Ug#+O$o5Ik9#d?z5GStU zCB;aK^=6W0=!wAGC&IOBNjvo#-I;&$XX=D*mm*=BRA(%^K1d5U$Y5L@*Kxi3Qfw4L z%2NL2Iv!ulRg{e~lDK(~z%b6QttgQtF=;D<+m69Vo)5~5y8ux)E^#-Is9Tl;6m3zO z2NiV-yAQZ%QyXr6_oufew{i#%6^*B^1EF?Id8S@9e0?c-gmXmud2BJFv0R332&hKW z!_=`ZFs?|QV}*7>um_ed$O#!0u2aR84IzUvrh1B`f{!7_y6F1aV~uI*%b-nP0vrk? zu25oK2z7CQ%hXYePS~se0wF^=sIsUm<3UQu}{@jyL^&Ltk>A&c}sx#ummd zEM$R$Xxneq-u?If9%}lr<;*&0)uV&^`%3Ia)Qx=keY!j`O-(-hDK+`1Rg;g}G@0>h z>sgxDv^exJRJXfaq-ytZt9Bp1_xaxT4TNU+Nvl4bv|3~Kv3zOWy{s>R38>nA+N#}} ztF7gCZ|65y2tfsOY_VzLU9DcY^Ulgsbbo*7j%M{J?U8#9ZiX|6n>36j#y^rQu)npJ$WJSah7{8C=Wo_}}cQgUt&I|8ABbad=KfJkMSiY$b$FNNqB^UK72M>onc# zAN2Q%wehgmf*SY~7{x!%C1B3pbxoe55vAI6#+F(FvulP=7V%^PMXX`Wd7k~ArNXW& z0B2@s3Y%6z8)Gu4jgF#E7cc^3JwCTyQ>XCrGG!2KN|sSVz8B=6^3snx12(7Rgspx( zq@hs+cdpIwphP@z;A$i#gCHH3$yIY0{Zg8hV<|_XA&;9s@ag|s^_;w7S6ga&U8D-9V7`f@UJ<}4J$apZ_$L) zD+1>oE5s29lb3N2TZGJaYQntoP!oesQ+T~i`*f(iWz+QiO^s`e$hT=-Ff?Bi9+%sj z+9vlkh37dMA54FHe<67PvEbWZB>$!?%KCG)#5g33C40moMIx-&tm5X} zZLjAn6TvGmYl*0;AMHe6??hkri1(~WNNGtko<;NYB8lFp=0u}6pEM^>swN@YtE}E+ zlX4Mb7VLmyoJvs56pXG(@#Yi!&fk2Jr{@G;e)CB~YA>~8A3^vd_$>SatR#+u z&}D6A{E_nJD*`^AyMHKnEGsJ#Y%TmUrl_W(%F#LfF{1u-t4S=!PT5wC8OJNJJn*kL zUG_@fPH76@P{-pA1j63fJJ|Xuz@-fAOPsx}|o)=&iL%$yXZGEA{XnK!xD) zlem~UXU&174~^-4Wz3VWkKt)!NZOckyL-?I=V5uzp$XziRB(hfr=wk1ra}r)P}@9( z892Y@SjBK}um`;%GYWH{H35O0tU@#BO+7h4Hb1wkwT=INC^_rxW*H6k3DUlA!X;if zAQ*o2s%rcwub9rtU0bZCI@i6~q0hc5(Pl%*`77#=yJHoo9(*n_Y4(7~F+z2@KiH4D zM<>x|(a{n9=M+;a_q1O4BF+WpewiX4({*4WkyebZE&4Gb{Dbvv6;s10B)7pI`I)`Ceqiw+9vYWpd zR5c?ce3sjaW|byTji6bLh*_t|Hn6ab<2;*#>7z-no0ZIpbS;`&l}cv9cau5NUAK}m z(}h}RV5MHxX%a8f*(jzIL+>OHU@KWOZ99E3ldDjn$fHd&WtDdbT`1LdG*hM86iplR z1dT(U(P>VUr6KvU*S1PorzpSuMv*c-rrk-84bvxjaC>zEW*x0xMsxUAA8p4_NqM#H z@}N~FBoC#Z{2WiGV2o4pI9|97o28%1`t{j2(f;7*s6U7>F(~fu>phro1r;M$T<37Y z=)(V~b?yIudD30k3$Twn(n>a(oVt1q3Duw7I^E?xdF_P5XFGg*C4tYErNqY1qaVK8 zefHbvhgWcRLu;At{Vh`NeIqbv^%MI^JK5TS2`T4XL()nx!=t4WPHuB&e^d5Ku)=1q znteyGwmaspH0P+?ulLI=5*ODKJd_TO2FE95UFBNGmrqlnyf!!g`Oiv6oP?IEz?rE` zC*Yl*_J})RaHMtvNe&+D5jyNh)+OPrbP$Tuq3dMN8;?mo%_3!s zms2Jmm(wM4a?c>SkzG8qTGli!TP~4Hb!y2uGZW=B=l6hR5-X#+bsVo^Jf>Bc4PVl8 zugr6=<+<*cuU_La_t%*JGeRi>TqCC#WrTGuza|m@#|cM}Moevkq07crMke;{%OsoT z@d^y%=mlkcf4$^)PHG;c{SKAB`1-786|c8YnkyyJc7D&%JibU;H4bmAXdP6%b-nnW z^2;pETUD;_zPA>PG6t2Rt1ej<8^S=xL1~i70*?eV-H<^q6&00kxClx%d9e}v3cX4QiYaD0t|&@4x--1Dv{6&B;Dh_B(U z;o;tRj2@7QV&N!Yu^SH1FGIEQMyr+q7K+A9?lZ7wbMo-O%@4_mW4fE9gn9%s7q?Y7 z;~{%791+NQKw+>h$Fw_md{9R}B92}QJB!f4yDnbn4G-}mMUOagaL(XF9(5P1nVg29 zX~X@-)<4G%W83$CLTz7TBzJhw*!b6QAGiMCC)9epad_C+`0tX*QZ@hZr!@Gp4Xl5| zqvp}a8@c^QKcV)Y=V`?5)Y{fRg>{75e*6<^J1se<+blV!Kb6+s{4YOirR;2H>UhT^ zZ6zLUOLB^PV~UzXw@BdetXrw`cQ)6lO5(IJ$NOzn!&^75b>5}dVlVM>fPw455hIFy zkaHJ1UxK3V^{KSkIu+E`s;c(N~Y@;Q4EaxCg=C}JKxreQx+yu?{4 z6svB4b1T<@4ik$meypz_9V_AK0ylW8F<&c$k-PC@NrfGf$7n#FGS&~>G)lLJUrfQ) z9~_GdhXAXnbl=QJ@X2<^!(Ie`uIEwrVoy18&U4nxyJn4v0#Evh$m8g1+Q*~@r{Y*J zO{Xz@=j(T1l7ID1?VI_CvRPi^A7HN`sNa+<(5IB3VBTarr&S_bI&!8%J8+GW9&`bN zfwzvRCadT*7Ao$l)h2R!N`Z*#j?%PZhxeB+zpd!)BGJ8lu6j$s0hg+KHM=g@j^xqf zXyk1C5 z4F1WGy>qn3H-*r;eZBjQdb2i&?#c77<=9Wk7}4`&lE(Dy)AM4ViVOTPoK-HYsmZ0o z&ZI?G+|L2|k^_^;eUpo1A@QH*^cQA`ou|`{oaLP*q3~B9)Dl}Jn7u>K{*D|8ecu0U zR?o>KCo-)4{eAm8nQY>DU&@G{JbAU>$2(+0%jQZ~>>J$)`BCteEkA#J2uA!j^5IWZ z)G0?jnJ2XJMlWGbRy_|VI(+^+Sv*l-fnLW;^#$=y>_x$M2?r`DeUu?v6Jd|m=_sAs z2}94md>9P|hew@WFuU-z<~rBWZ@;hjZv7lY9r{xFg?j_FR!>{7t&^R!4D*TQO+<4_ix#R5k7ole%}syY!^HS=sr zvyL=Qf263pj7OfR%y)EnD6(;hFs=n~?gZ=L*%|CpnU?7l%2ai`_!nS_(Z#7*rY8jz zL^!j~;NtRXDeY5{#M)l~5o_AVdS9f{1W7K-32e1Nykp zkArEDFk?G}@b1vBFjN2Ok6OrnjN$@T3szoeBmH5sN>&-Ba*vL+aY=RAlz#BQFVRq5 zCF4y~lBX9N@XJ#E{>Bu~0&MAdWifoUxs(xZla;0L)veM^t4{)r$)|sXPI^~Ka#0mm z!)t-y8j6#YPZM55jS8TnBc2u)K5JA3-_HRdVTRk1{*FE z&goCmk0=8$EtVj~3?!UDrB2LQui>~;B}37Y*T;EF|936kh%rs=*}JNMatPN%pxkh8 zPX(gT$DlWSszxY|qTxZGTn198KV*;5R}6!u`F>uLx8m_HU-!6(ckoifh}gl&=X-mw zB(FO`j8_RP>fpPyZ^B@L3~o_!<9+lO-+`+pv@C*+Wu?1MmsMzriLkY{c6JSkL8Dr#ua`^?`2SF|! z4x;DjJVwPZM)GY-kIP8bPj3EwM>bIiP-sJE3){8!&yatBIc59NFQFcn)&k`aP)}uV zkL2le?Im8H%S22Ko_`AcXS;JaN$x5uvsnw@xuNUEHV3dmYB^HLcXknq`^1qXcr15B z-*M3Qm4da=4;_bWY*6#694S626NjAm6bWsYCZ#v#;OIIwR<3Y>a%OBaDo)U7`e~T% z7D%oaVg#1~(Cof&l7JoYa#fWI1J|SH=pgw`Jl_y8%1g0a{B_Al7yC{hB;l}@BUJe0 z@w|>PuL9w;{b-tO;G2Nea|9+{4^67SONnJ#%d$+~pfBkqVne4gAwWTqBh-EMlGqBE z8n{jthB3FoOSML2t}bdqrph@LYg_nJQd)nf^kR$a$uhY{6?V>hhR*E3@n$~4H8g?0 z|&o zLBhNaYsto|)f@&A-gb{ceap-=7fo=Ln<2oB<;3D}4t47p-C{NVPHhqh0h1r^vhV{K z47DwIEw>Y?lssS$=G_}K%HwzGytWaK=$3mOhRp?S)3w!p`)j)A9x5wZRCabxmBG;s z3<&uAU=qXkgZwJ+KSaE@PU^p+uh%TK<$Nr(ZSF*`2t4{)ijk#)TeO13o6K`^crOtZ zO31}**;fi3Mp^fc9lZIkt2o`W+}?&=mH8mZyja?i7QATcU9S*x^g2rd(JV> zL^A<&xFSnj!>*+xy+X^m)GzXfhzUZeP^)NPOyHu|cDx$pKV6X-%5}t;F1;P8tW>BW z@_I_gN?~^>!DYf~KuevKNGXLhF*V15VJji&f&JlwmIZ`=-CD~{i@SGT3z`V zeT9_}T1yUj@6HUrzAIA!H3R6(07r7Gj5f;+P=(o5Mt%1x`a<~?z6f{~jCv-jKRS3` zqa}_|n7&~JXz5A_Xj%Hvt}2dTIbSu$seR^1CpGLuGX=l-xQ6qtRvu_@dUO(f`{3*W z2~lp7;nY?$o@);zX!r$kZXW~G?Jcm&j&v3+%q7K2jA!u^tKp?sCGIBavgO>(It%&rUuP5fd$i zy@-)T8jZmT$~My+wfJcWgNa(YESAiPcY7Zh0Gd03eG3CaMIYX?L_#fun zhz(3Hqm0DnDzeBfQ_S9jI92A36|g^XdRbp(AGumGXKbmW|!rq^s@ddJ;Zp&x!mwHnPB)VC8}#@O=LXcSAsX2)``?&2j%bZ+ zrzbtz%I;aV+4>gAdY0+t^S`VV+8u*_Hyl{Wc*bG&Dh$+SMBE&-61{_u5D{E6SS*#V zi5%{=Im+ykx1EtVuGyGA`^k<)UP8@^=hpd^Hw|>Cip$Y_S>n4z72~G(I_2-|TooRmG3P?`*!JutA)yW#r`FWTiz(ds$2vIU! z&<**DBSdtLF{C4Ow&foMTyOJ+3A{h@JfD?ctomScl5m4gzigm_YjNiGb8gB9OFB^E zseVq!dg}}sNGPDt(k>>;ra7<4zhnq4w{AmV6f$zDBXpasjNVx!2=~Dk(J>OcSm-36 z21yN&lyjZ?Z3gVK{lf?Q_-lcN2V;8Gpcjfv3xT8q~TLQSmt%)|s-g00V@rajund;o;j9#MdxX@Oq}3#N?g( z3yQ2^FZ6WRtRU4QH|63jPoV{r@iV3!-p+RL?Vxv16=bDUGh?6&)IjSa{2*Scdz5XT z@UwG_!&N`ZM^DpzpC%?GxDxEP(nj%%YEo|r7FNGJ+9hcxpB+_qX3fpP$M?W+6#!aQ z@LSdB#XQ|>pA5}> zD0b;30M%qOiqmK(60v01sYg+=NORIm##uOFu54r_(I1MWPB29csT|{>k_k) z*?dyg<5G}aG)VlxujTsGsxX$^hdwQ{F^EGjN6s?w$XH(GkS1sjx29mkUBb?Fxfx$v zBST}9r!kmMDg=ufe&r7kf7J~19>R{s1&8`76fr9G+4;oFbD`>-N|0(_6$q2#PC7r$FKFHB^srK;&s%Bj-%|^GJvg~C$|)HNZObqx#5$xo+=H7o$6uxz+0%bp9oQi z{c(o~5$$3fR>YXU`BH+GM}`Q~5O(S58fW50&*=@NE7^Ha@Ei<)T;NP4%SyCfgw9li zk@v!sIxL3o!e>8G9L=-LfD&v`+hQ|%iz!uh8Ojc<^@*tlCCFi$Ma7%V-d-|Tg7y8* zhJThCcb2UCqw9W=tYwq7Rqq@&N4zCfoccV{t&yS!eIk~JB19xGr2WNiy=0Up@de+O zK##Mc8s>J~KZ?4?{X_CQ-drhvZ#AGYCk8&7=iExvn1PX#(D_JDn@qX&^LSjZc}H#% z*&NM_3QIg(=CIz3;2jiL^@?)fx>x71a-S;e#q!xD#-wphz~`HMp3w>QT+9hHSi6g! z86(oxIM#P64g>UQstWjDNb#3Dl2JGwXx_kglk``dTH(%&5|9*T2;E)+i=r}yke*A+ zP9C6A-xtvdKM@TEa)&;`E}7SDXxzJQ1~#_O#g*caP;*Gn-XKbKrSR@I8WD~A+tP~a zrL;Wru4Afq!YO{WW}Cun<}wuDx_AtQH(U zmc_i*@mj!wtX7`+HJB0Tz>*}n7cMcSy4)>#Rix08j%6dk<`U#_+XVKJWP@rLK762g zMa}B+d#G7NM5=05m)}Fp>S%C=uU4N8nt}tKoxqU-jm`OdpMs({=MJ>J?EQ0%@b)Mi zZRU_EuS309rth28S)3&k1`QaG=}wDN1T{f<-aGzabmGA)%Xs|b`DnA~HDhe#j9Byx z;X8X!<%&9GI+Z9r9jt>*A2xv%at1ASlg5avzA2wC3Y8_tHjOe!K(-Ame6Hev;TovN zi{CFiWrBX4(j{^=v$+QK5j{RxT}Jp4>H4(QO8J3S_}6Z+x6yG2FgtYVCep~3cJtqr z@>5IOS{#iw>3kwS%$MnUU5qyQw3%}q{)97L6i+7jN!T_$=}zh-ez`%lS=HuPI$V@& zF8Dnyg_*B5XO*EcIGs^YT;ddU5dhuOE5&Ne5Bfd#j88_oijtIX^bAf1#EN~Y5f3xo zXV2HsZbV+LulR@30F)APLdw0dKqLK~m_y1bIh)SuMR+^0_K8?YFwml-f$}yKC3gdr z(>-4^K1Dsg5X{3ogRddvz2+-w>s0;w!+ILmdO$y_+hXS|#ao!p|C&l-6|2cu>UuM8 zgybBNvRW$K2L_U3JoF`bX@Pec8uK!G%EO;Mu5!$91zw^S4X1VN5YSX%6KbDh#+}Wl zZK#6i60TR5>4d_ZHtV)CmpY$y+`O317Y39_F#rBuTPj+aAP9EvgTecRbef_Uo9PtKMq4D$IxCCyIvY zcspq+USDfuq^u;`?{=TLVo_1I^0WwVwO64X_08*El%89QfSDaXFniW-qaV(M@%Ee7 z?~&G)8MftS`krs8Cv_*nTW*EiSKEw6<*2)G;c_$hw%S&-(1`j?m?78PB=ns=6M!8e zcfX=ei4`|KU&|SPTDBg1zFfV1AF-A^T1)={ectm=$GOOfW354HJ0t!hr)Wta!|DAv z&#v)rk;#j?&pv(ps#g#6Q)IYwOfSnPIxY(DlbODM0`|(@DdV8dj7t|T^h)mh3g;0| zh|2^FQr2!yn0ZS38F}h-=;ROcRAr98g*gC?PONDe)G+jC<*#s+iXOxHH^s;6=iuPv z;1K;!up5~8hl37N=TdGo6t#lWayqh7p7Axp-mgl*wS|f`uJBw25D|da>Kj4wgil9u z$@-KYzgWtsHlB853^pfN#3d_W2g)eMHJP2+;&+P?orK`6vJ<6%ph2BM0dkI4w^o^4fa z%P!W}e)DHa{vry=X+x6MF^}oPLb2`IC^mg+Jw1R6r-w#71ApqHHnJ2=rlh6co_&4xEczPOge)i7T9Q5V z7cvxXUS2Q6YM5^3aUQw3tHQ*|a(tA*ARVz`rOuPS1@Qwu``c(I`awNwky)a!;7&v$ zI;bPn={dc<2{@GR|39j-lagJ^WU^%)`&hF_cG*Q^W-!dcEOtt=MMSm|Ws9KS2aNY+C+5FG( zZ0hYyZ_|`!pEB*9TuM@!zxwHZ=IKvRnPgt~r*%ytQzwWKQQ>b~)qbFic=A&NhGGH+ ze9@nK`gpH6M=9Pay?*5-T9>=wB7aTkxpEK9kRLBw=y+VNo?sQdcc^D1GO5hLp6zSh z{yUpWW?$(x!`;kAo)ceOdt{_|fMw%w4dRXz*@~yNC_@1L6-5|3P%%y4zVVhOlJBeT zC;7sCM>5BQUthTYUB%F(D=O#7u1R=0O>ty{)xHH$J&WKVJ#oV1LAR?m^YN_p8h1)$GwGQXfTC_Sx4jkA7!T z9G|}S^^T2&t{lzb+Wtvj%w^-f=f>xc%v-g#@v-hNG~(=GhV^`1sWQ#qOL~>WWl~8h zJ*9ylsT@qaYZu<95i$Ued~g1CZ*)+z*cfMvSWh15>&A7l=?Wol1;uZ}y$j3X$kgHu zCwe_yXYw<*?iJbobhxzWtU~Lzp2z2oJ_)|fA2XGu*Ne2baGB=gRbouzUA;QU`uc;@ zwd?(2A-&@(ubth_k6hI)6Ol1HwD;wpf82$#tKT)xg!24g_~aJ+Md;>i!6$Yn9m|6? zv>I<14m#S(-2J@k)dpeHe|+TWBYnDsQ4a5gThBMn8a?f~X`tcpZ63S#{>t}r4`0qZ zw4O_wnq{+rx#LnD98|E0k%#7+55`y7#CzZaevIH95{FXlI@WB3k4#!{dc8%4u00>d zDPDfMR;Z{Ti#QVKVa&6!AsD%Kp`n_OC+mRoJ)PWk)epjF=zbV)42lb&61iK$mO}?O zCS2NQoliGM$7Rh1f3XH12bx%)m}TMVDrqWvyX(ZFI(*^svw4cO;qJ+xZwd4?ul5X? zFXiMZ9$RovYwUa}df{G~fpZ;?ZrH%#bKfV8Rs}X?z8>7{-KWYcc4v)gf0VLQJM2?J zW*)aw?5t%(!lKFQT*ipCgt28;rG(4oeLWhZ#yFnNH%rd&SG~NUJlq`ZOsdBc&2#a! ziIA-Q}ocYkpJ3vS<6MV&p(4DmQ6*iOHiiPI^H&#-zM_{ z_t`b8F!ZPTn)itvr$!Sj%<3x^bt@R$@q+Ua+7jpYPH9-v@}?+-u zaVKnXxbtahHKa{)pUVMlspk5&tR$Mkjzn1Y%f;}0`6ZI2Ebq;NWN*t@ruE%{Jla`> z%EK`a2HEKjZqSuo|3UWzy>GY|bvpfGOo*;LWiX)GXh>1>#Qm=Iqiu{SNVGUXb$fYewG@3J~wmf@>9Kg#ID@KDF>JzsS)`bSyXbFHXPoKgA>Ata@+x zQHG9?XoGAGw6R#FyT3B_3*X0MLuTQ1&4U~F6E5}Mn5e?dL4JgxkJ@E2fAf@nkT80* zkFf6Fe542FXyP5&K3aZ0^kZxXMpdM9b3*yr%ha~s3!j?SC#6Cx`r4n6*~%BC+=pf& zZxx(=jNnjjC5nKhN|-+MMPNS zy+**-UeeI*wvFp4bvG=Pebg?9n;_V|)2G{y8q`k=pCR7hd@Rh{hl=78Qun)cMERWU zYz^Y+vRiv5yNI($zH7(9&m{D_rL zG2KS-lY`#LQIA7vjbfLgd+HopKKxj}oVYA=do=(*VStP|wdQWs43{rF;W!epkTWTD ze@ECpX5YSxFcpJACHF7~+T#?i5lS_z{N7_1kGe_3zdC%O9iH9#=Rsq4wWhd800~&MGdizql%X zA}f+3^_r_UJirBfTe#A^+j8B^(`&O&_(RdD2PDi>Kd29YXSt|gN?<1wPghrwcv^{F z6U6e^vz!^G=D89lKA9WMpX8b2+&=~+V_PPjdh#vGb`;;TYBP)V3b)SpS?gVi8wgBt z*32+dGJaNYebJUugTH$(NvHNm?PHANBUR;|8^<>_ZLWUOUhRV`s|j|lxurDkY!0Ga zyYk+Lt0|Z#l)s@nq@riy;_mDGt-CSIPi}Fw%3?})hFja*IC_gw$k}?aTgzO2&iP~d zJ39T`rndVQC9~E3Ts*f6uDR*Ix)Rj9hd!_9k@^keVIvJqs|RUhgD&2(9THV%-YE^F zy{WFuIOIy7LN6%8o6(VSm$t{{6WQt>HhL<&5L=dOqj=1{MeDL^cDCXmVmWJ`(D%rXU;SS^ zuj-21DQLqO%6*iML0OXFq*u>@w{Kk6`IfHQkLTSKUTR}q63X^?vMMwddt-TDyOF5C zLmoEXkFlw<2eS;;Ya19GeJYqjJR4&EZK>gqk>=@61SD^P*nqrZAkgvNQ(;%K9b*DCwEW^z@sK$SG~(?wATiElPr`a zAJ+_Yy+VcD7#xI^w6hF8w5d9$tYYN6JNd+eyPmrxhTt=b6HP*2MU^vhZVV5X7yFc@ zoS^5pIxK7btcL^Q*o$>#IV>1;`hsHmGOgC-nuixO`+tld+H;<6+&@B`?pozMCbv=O z3#)~eF5C0h)(NsvW;sq*_{UyaPk0-;j=6eix->U^@ifJ-tMT)meEa5z;BD-Hm850T zA;kQB+4J<395vtBJhU@8hM0^E#jaQhmqyIAd97JBmUNy93oyty9;DY0PrIU-_F&Vx z0EVj49Zs(rzcX}vmrcrH^XZMlO+RFe7iEHBGPB}|${pmCG`REG;YgK;xhH1|g0EOG zCf$^D{u;Wfx(D%^|G~pcl0)Yr&z8cQh0HmRM~%MyW)THdA{&;wh)5rjN2N^b6dHV_ zPY75JjZISy+*e7yO51I7uk2BQq`~1K?fvoTB?Cg2h>?zVzMtlCRvTE<;KKQ5(g!_K zPNE5DA7O*@_^GeEoV5Hmk|!Q9G&n?{C2tg4&AZ0DF{Jqzo=lFi3^8MA?sgseq&Ij# zw~FWa$~_*Ts&U2lszEVrzU()H-}lsU8YqMzqEi>e!wcg*{>zT?gH(p8j87ARML zmFb@<3O;ca(J+B#O+49VIrHYkC1|q)Cd-C*nM8Xs9@cog!uoFAkzB|#=YF%|i^oZs z&m>=nU#K{?60!6!J1rTp1m(**_4ieVV}Q zljSIc7tUo}$w}VFZ;7(LHJ%uMR!RO_K>2C)KI4YtbVak{uQiS*>z!mgHw>S0UVmlz zLE3OUxhN&*Su;^mQPvvUZe)G_-m+bJN(t(Kb1A*Uk=@VOa=au;td+7}x9mP!S^BBy z3fWu8&cxu1&W=ywc-t%Q+M>*AOW*ct98b^cPq6e?olgx{?2$_LQ~aDP(m-n_|#<>Y|B0o#NWVqtW`Y&r~E}aVjD0A|-bm+N)-9 z-xsrj?%M_~967mY<@uEMvGG}??J7&AMEC8}Wt2f={-ptD`rznWrt(JMZ8MJ)-!b$j z94>?wBpBueewT)YJ1dfkcHe&yakuryK!CRI2d9VfoEM*eu)Z;UdFWI{xO;`Q;Wfi= z4D7q(`p(#>^o1@`|w;U?|Liv*7H_V zK*rr>(zu9ttd$1#kdaNS631k+5%aCH*;&2Ka+e=jN_5<0UVbhH??uVW%30fFR2fx9 z-No)I49S1qXm+#jn7pc(LS8rP16Gb@g;mKjN_ppoJ>sZu{ zC@q&mIK^Nx`*ELZ%vi14BNX=BA6{<0t~M9QZ2xkXhSmA~hN_5*#4kBgPhv%6YLj^x z?_Js%E9`OJv^H7FbxG%-d1IDC|ELw$^+BF0)7nK7NZ@1y#o$}gwVIq2!uiOXtjRq7 zsCRor6Jth3{09Y#P>Cxeneke zRa>+Qn}9zcXeybpM>G`Aa&#Fd`(TurHY_!#n&!lp&gX^ajg^gB0|@t|oAevprM|MZG|?%*Eda=pBOK<#K+XLuq5^^>^G3Q?2;iTQyt z{MqU%n{=i_P5sh!xpMO2E>oup7yW~5;3w0hT#H@ZIKEq4>`35ZEVx_Q{C-E-F)Z_B z{rZiDC+K|0YecXsv^eHRhvM85fv#KG^<<_UlKOOr#EdU53iCAZtk$WbHhDJ8ESWWj zqv%=uuAFGBEIs4@>Iy%z!m#^}=i?nc?`{p6Y32`J*By|TC5qXzM%QJ3B;urs+m@7! zjm1>OKY5n7o1qUiHKZsulM;i^LB21Fq)*yxKs^UOGp4(Qvn#bLImrv(aec?K<^x$P z%}UI3ljp;&c#r$>B_dy$2;60HA{brvUo>2K+1SDa%Xk{0_MSn~#x#R#epE3ir%JIT zTl(a(ZHpDAZI-1p3Y`UmEf@9+orGSsP&j^8c7R9G!}fM+m$IWiajxg;Q{AhPrv?s`ER)r^D<$lZ9j@!OGb;5WS_@N6OW%|Q z?|d>SGS9Sr(W%8!l^}~u7O2-z*e5P5bsqjPQTdRcRE$z#=;p%@a|`Fv^QB5SHA65x z%~``U6>J$Cja*QsOYalhPH%XuRdCHb+bB?kii^i5A;|oFIYi*1X-pw6d|XOD)LY)4N|c!WJQS**@*Md{ zob{Z=;ZL7qpRuKPT-~`e#83NJx`X^h!Hf&iObiYn~dumXAf$>|MO~I=;ryTxx)WaM7f%`_arAY9AV?jmS z_^U0n2ac-lt>ShVKNObH6E74TkGT^(d^5)GkWh+b@CG-Z$Ym4{T^1#QO>kl3tXul2 zkK_AP&CBMTs}p%{88Ne#oh6C=(Ah9Dy5N&h+)?Y~Tvv0-YT?*hn3Lld(rc)#hQ66I1d6Q?S{QkQy;U5z~A3y==$5Y?WD`wG6REJE5WG zHnr>1KX4V=7p?^4-MuVkdU*fd!=9HL(?}F{9a-;zx#Ybt?oRHw?zMr3?meDJ$VkFx zMOM9i@w-QCBejXvaSG?6Y1dZb&c0M!7v3@kfv`u|);uo90DCAfqn-Nwi9-Q45F{{pp$nX{H5dO^YY;U!6t9K-F4trB&v8Ma}!NjR#UIEmPy!3||HEA)q z26xLMIeZ0XRQWTeCrs~^J(f4kSPECtYwUOQqWyrEQmkQ3nUx=#g6h~ThTm5d?YNmA z(}AIvJcAugXkDYVG55M)N8QRaei3GLRDXD^xJ!w!|2_^<_4u zJ8B=~6}>RM6hhv^|IUfw=*e%Nj=xwuc=HP+!q9~n(wFq~(b#V5^@LTnJDkG-;V#WJ zJ6!AY$f~2ehysObOfj-gxI41W7HCB#n9t?;!5i*1b_QO)Dl?|}*zxX6o#>o*&6HMb zc@z8xTP**qt()Uf-q|mEe2DFt6#DiItnR`s7V>7AXXeB#>zF{1ZMgG`J56%Q`m>q! zIXYJwimKijW%q|e3r&(Gs+5XcVW)Sd#m_0`PILIpFFTX6BMU?d)u+7#QFQM^RU?`1 zx_tJq*lAKJ)08<^;8lsfG|PUM_QIXdB3yhct%MPguxSk?uM~Hd>4vcz4)ZrZE0~D$ zW%Dw=@~c?Aw3LSqQSZnZkQfxP7;-`wH|E{Wc@$R|mlVZ(N9yv+;5ZxbnSzYNaRG3Q zmyFv^<+xOw-MO@wVCOkyCeMXWcUL z2C`z*2O4A2WHz}InY}z1&J*Xl>q*Lfb*syuDC5%vCs|7cD5 zKnwXvRE^Yr{7_}6*Q21c>9ySwpN}egG}XetIVm!HJN@R-#x=Y|2$FM=_05@JRy>ufPfy)n(f+SqP4U5(Z^yQQ8V^u4FC9v!{d z$GWHVHv7X6wVJBzo)VWHtan*`f}x+scb_KZm$Z<56bf`^QSZOJ#{aEbMiGgIWW@a5lcf^ zRv<(pJY6>aAg-r(B9L3dc;@4{pSZf(7ZIgg-5AoFz##!yxQ6bPT`dm;0{Xvhd@Gcu z|5D)XD)IEHC&m8dMoEdTtffuy-h~18^@>YTV%J<+B-G9umV>VZH@$p$TKmL8;A&!m zeoEMxi?^D!FN>;mCB5&CI}+LhWy!vy-KSU@hn3WUzGH zMk?e)`TNQrw*_iD8PnEID$`eW9xPe2b>n#dx&OLTF=rz&k1;~`>`gYaJr<&C)87&u zF2$dvkzB;G%Xjy69%HHxXW2PpY@J{R`RbOIQTPR=5?!WiZ+d*MUXyCu#DLT0tIbq9 zNJG-{SBrBWp-ziC2CKNwN&8f1p$GG3R?}M@w0jcQMUHB%?$Xj99Bkqm;Hu`K6Z5`f zy8C=kReZYm!EeFp58uT}&X*}2uY9DVTZ##5WQxQpoQySXMYx0Si@)6vV|C@6Oa97Y zW936tX=1{YGqr1%}PHo=t*x#Lu(b*=gE+Azha6I)tAlZ6ssk_C*5lbTso>fkBz(h z)mf|0t!$rIK8sf2lMnYsg4*sSHe3q~{`h&0^KRE;^jjKMNq6$wqm_ILocHjtMdaOz zMTT9)j@T<{ZH{i2-jt~GtktN9WysDud3m|GF@@;pa#zYLo)ylY#t&IWpR&;8tc!Z+ zEq-vvTZ4z*XKM7iPOa1itEG{d<_R0y?)1uoBA&7O-)_#; zA6}}Dt$S^Ip>p+&7il~Arl`324meEWnVZoCmx^9o=dj3H zUxMcrf4wtrblM=`YYx9ck2K^~tMXnnYkb{}epjbt`PF>~^~{Cae~6#{d~AQXy|;Mz zd}@my=0RYPRBmKX^#En|SWOsxuG=Hq=N<}v+^JcZwcG-%GLh$b?A7DUI<4}g`jU|sm^xSGvd0$=MVlQxQJ}q;YhbMZ zA)RT>%5Z5`hKuj1w-7Su5z0hLcC_5xtL;S{Rj<{lUfJF&^^o_OqZTkbPvsx zJem*fnp1j`_Kvm2or^I2>}nu8cxZ9^=|S`Cs#>_C*aN%wVdV3gx7!^636p{fjD z9O4+ge;C3CChZ}d95<8b3ko@k+Z^Z%k~UexOri~2TJCLFrkp${Qyg`v_=p*7GK6T4 z+iY$R5xD*4T;+7?E~jJ`^s!q9+U3T_LfZ(Vd(k{2*rI=(ck3u?p4y-=dhMFsP~u8 z5^AUGcOg{SM=F3}le#MpNRxd9Fh(84DAT^)X-f`yIucTCA7# z8uk9z@L_4S`A4E;@Td5DxtvMl4HZ%RDMx%A`Y zH3e|YQIV3|t1d1*Wh`&Io{psW9;4KM=!2K+?|UNnHqvDF^xN;@Z2prS%^f9k>pVl! zge4`fXGat}&;t~Xb{|?A5k6_Z$xntTMRf<8OQb@Sf;q=#?180Y+G@QkH1EVW4u04e z6q-zZ+G~@=+c4fb_6d42=KN~bZQ?|TabYU!Cyq|n@Horc4mrZ^(Zjdhqq!amdS-j- zRv>s-0uFqO{=!gLT{INJg}hWjANr$ZSE?ji!5i&Pp?ODRrSir$#~YJpEbh*#%jZ`R zdJpEPGxRLWXxu~1YE4RI?XO&tS8uDy0;zAd4BsqI*hNL{dyNN9snw!4A+TvOx zn`rq%hecJ2mF75GciO={9=k$2V;Q;idsOQO@H$c)59i=`L)9Zyr76nU=TDuZJtM$t zZ|I9+o@!fnOn!B;gIztofW>*I-VY2z57U)9mr;^BN_IQnUG99nE6*dVOgZ-*s?Bww zEQ-Bpy*F&Q%@<88swUlAw$I=FxG29ua7kx%xUkm?HuWnxnf&iJ14>tNyqxW8`HFaJ zI7QlMP|le?eMd`ejBSW!KFGn%EAEf4uzd99c0I|NCB;{?bGo=&d&;5W#rchE0T^U29}DbX=CHCfqTOf}C6 z+7MRhx)J=lV^{nM-ts+4x*tUDxSXazLkD^c+*&p5B9}Hz>#0JYw&@nwbcx z?kN1?Sy*Qp;_T>X6*6jej%oM_V-ox$=APwviC0?VL$-H({KijfoeM1QU&f!Oh&Qao zZwi^v-Yf_zaR@pk{F101Rw*Oy{j@#rrBJ$c ztSF}dAG4UUm%lPw%%@ZK2L;)>9JFYk zypSt%{}NiQSxI<#qU>{5GyG*-e8pXYaUPUVBEyf?vN;T5?*aP>r=Gns9Mak zs_c8RCWg*6^6Wavh;XC3$9pt`qj>$V9SoI+bp=<1guN=RYVV|ZQ_=yaC$Zls5xxLZ z(Kx6l(-_3vy6h{Q`7)^C`%8`cr{a_ji9RP;ohY)9KKH@#dO_Jr|9j21?4-12wR=kL z(q12uuIzX7oZCHlV1@tMrANoh9p2cm9kI<_z2gYCReh)ZP&X^`Qjof(N5K@=SmCdx_wXAXth?GEmG@j#LoC}vDat#ma^aEj?GG$pk~LVp9y4IqK|hQ zc3irWpl9`1n&);L-Kt4Zw#^&o9aotRwXQOIH`l`%dF~~ftOCO zeKr(6#3(uK;#bf9wg0RuD_l^0+GcZZQS-Rhi^o3#o?6X?eSFb$VL{;qA`j8a5nr}5RyPY(z#YY7v-UV# z=SfL~<)|mZ%C$l%pSR2Wi^u~(#L#Ph1$8IAVI!9GoaZZXubqcfCAb!SPM@)3`~2yd z+ZT^#Ftx<@3&L5H!qK9MiOOm7s`b0Vn~k+qCCjHuHyBd7Yt87INso;cC-Qmh1K#hs z_+-zF&WY*$?Ob14BRcuQ3*V=x8U3U z*orS7xgQ>|AI7vmlW?tkUUb|jx;S4W!gL(k!8;l0lLpQJO*8NQMmyIr|z`Z(9+ z(#@BSW-MhmTq(Dut`NfGj^JgJ?@y5{fv>(pHBBq(G`osr{kr|LcRgGh$O!gw+uYB3 z?BO!j_NqcVd#Blk9L`QRG-O5ZUd+V>B2RP@6NU9N{gID+n#T|HOzrCza&$W6to*L# zYc+P+(pU3sLcH$)KUY5bnO7Dnv)_66DSF^=t;FW|nOPZlGy~_E)9t5S=jUy{=UK>? ziM0~He3ZGrd48|c%|o0#HFsuC^0v1MckbC^;LYhP(^eHn%cA2J=N({p$?9ldSh`t| zy3W;()Ku`6W$z;MZVfu$q|zAs=OcK}hnnFJTftw2a&HmTQ)4%76);p=rTbo2{W5l> zCjV``%<1gM+GR&DkIXEr8XenPiq#t%PiH*WElnK0*0(EIXOCH;g2n@PKAQrBW8}Bz z>6r@+C_&&&4ekotI zI(`Gbs21hD*Fm!3Q;+J43#Sf6JcWL)h`YrXgB5te1O zSvNQ$wA$^EY+G{SY^Ca}s7Lo)9(9Y~G0}FkQd|x^mVUVE%wiQegnjjsY{r>MK?KsW zj&6SDk=ANJaOch!(S!-kJ~`v-yP>oi^ce{x&uY`nsr~aIhG#dPT}0-$X`YG+TNQHp zG%>_Hwbye!4uSE7K0cno4lCAc>b}TVc2_Xu8eRRFq{_A0EPVH+j}%f;fZdaw?FLr1 z_`bNE0;IH&IAVsb#=ax!VucK(Wd=e}pFc~?Nw^-tO>!!2Wc_S5omUhbwD+Wm z#J6VQhnui*D+=6VvYJvNAu#6k0KcL56$1M#wC<}8mHSZET*_UH-A&KL^4ap~Dc8fC z5S%YezdoQPv}nj6wIYSdW#UGXsgIWBvYH~#ggC2UhSjOVUH(1_2=i&$eY*uy4=q+k z@o@%S?na=~M&j%6oyc3Af*%qD-+q&*c!Ra>Lq1!mJRhe}RxZ(+8+`vdQchTMDOhyM z{14N4!T zf9wikoVv*A$3(+L%V(lU!%I&>dZKX%E_xa+R^gqzOk{)`7VU~8`3cjQ2++`Mk1}tM zlFQQx~BT;9})dq@mx-_Xl|{ zTIxJ^+SC#5`3e@1j6p^bMgb)nF)leNm06}4hXe8A>(CKrDGmSSPI5Yx} z!Fw=I)iprI&%_3_+{HuZa*Mzz#2lIr1C;y!I63bth?>j-`4%@*6A#&dA9g% zTNdbr#sM^JnHq&b;F0K`W+qYa%)DpzK%}5jP%?%Jmu@|&5_VPWHinV;02}(gqM?* zg+t{76k)P3sIs(*9J8DpR1S*A0ANE1?ht@<43V0QAOtrr5IrO)Ad7+^sQ#lm#|!Q5 z4)MX@z43sc2w>|8@eibm@DCd~g}>OyK^3Ky<(cK=q4H37A_BP;&~C&)1Rg^2!5{%F zPzXPOVt))4NeF-vkYvJ^uzwMehbl?S0wM}f1t^X{bqNIrWOYXqiD(qmi-3k8JrO=W zXe@9<5CZ89Ap!G~gQ(UZd1BFl5H!jkK}12Q_5~b&F;V%8i2{&R1u#*BDne02Gy(^~ z5yF_Mu3>1LJ!=ChaeFo5`qZa z_0wup3sMd0hXsiXtie<9M%Dgrf=W;YX%!`AIc2Ca6!^%K0t^lTmZYY(zjY^4ZAS*i zz)-D0CL;g`4=g~UzbA%Fb<=MSFuA{ERt7S|Va#$WP!*6BJSZUKP-r|JLxPZS7_#So ziu@A;e-MQKMNoxGP?lK^4uwNWc!W3F6OBM^o6?hjMR)>P{_;BtjoemU{x33c;CQ$K zv%D-6CJXf-0#D))Ahd|U5g?i431kQ<2zV9={cnB-%KrfdpwLeiFxfwO0K!Vr@^Z}b zAmm_B3VzFF09Eb)T4*8$fC&Tx2)jTK<6B7e1c66DQGEd5g$GFShjII z!W5v?8sdf_c@lgeAkBg-gM}hcAQZM#r)GdZ;RFouABg*H0lDqy`X#kIRAq~cA{3?w z)*!tBF+XZJLP6*fv0DnDsSN&ac+ws1M%=RU--b~DMpgidC_`Z&P_UpdAbw>|EW!=g zo9wxjMz`t*sG0xDZB%4=0%!Vwz1PvoE=krAo#6VVVcACLnfF!BE^TK~#| z|CE(~vBQB12;0sJKbe8@2nvEMGqn{}|ECoNee*vZXpx&Yj777H(fh42~5jugvp{X4xhJd1$O={G*69{BC1Qz?V zO(jV}e28cgC_|tp0N6lmRSi&BsWc#BXlV~=NeH#+7KadsU>1a}2O6@~7=bI#Kp#(# zw*OhC1d)QkRm7!*Bq2gb0s`r|B?VwhZI^$EK+UoL$g#Byf}&9SpDhVVK4>Jy9RuXq z?xaau)PA0C(Ib#Sr-G+!)gYkO&neKS0ESzw%@!TdD}&fVQNUU;YD))d;kIC)!P~aZ zzvy@X8A%X-PyyWnwo#FjyQkYp+kJJ7TNgdhO| z5WutO04f|vzraBDB%;w$D9{{|0qHFpf+9_g7iADv8sI1m7yjk{KZeAmAvR#wNA)<^ z&XB@FT_p*?7!Bb1Q^VhA zLHkkwX$PpUXzmkmOP2#Ua#6aQ%Ee-ZpM(zd4o z0)S6_2zU~PiU4r?7P@~bEJ|hZtJmKm`p>@LztN=50yF!25+Gn>=1Bnk$9C8vi5Q

          b4O zvSsN1R&VYkO)~ybZ@3d~MRQS~wumrtcb@I12hU7+>3x7&2omoIC?z1;&;hR7&vK|a z$thUK8;nsU-zo*vL{CK=7{F7oSa3xmgF*@}Ww*`=KHwB44^vX!xauoXgxQj~WFJbFAllztse%4KvHdmo z|1RJE{=Du#W%!@h{h!N2#RX_@i5NEuC}C8O0n-Q}!7i6fAZ|Gjivc@*Vj$IjK7j}# zXc4IrQlBh=Z6~-ZEX*2U5~9X9i6}C{i%cc|IGVS?+4f5wMAuX-bh>9UmM&9 zep89)c~gIZYi(^aq%Js9Ho{>kj)t}h_Ht%^ZpUoNZg^9SIY!3~9cWBM*eQA&c@aE} z@W!5QI26_hM`P6zyf;)p)f}ORrdd~#@_+h+QHuJPZ?ouIINeOoYgP8!`$q36z%1$ z6p=tLU~7zOk8^2S&&=ZC~l$ABLUu^1%IAP`N(wyv>1+Rh*liG#~;>4kU1BJpNGZiOx1 zntB;gOm!9fjqt#SVC`>w;A{hta=<23nz}}TCSIl#(?DamwzdNZYMr0!Ou;$z2ZT6y zZ6_7#Q5Q)~HQ+=?$BH_mO`smO@&WZkTicF$_+RY_@(0cW5P_cn2Nked-(V~0=={n@ zR0`A=m9)-Zcmw%IpUNMsx1r`Ekl&6`^AmVk{v*UsdfTFJ=QHXGZEx`No1Pa^o~kc3 z-~Dl`wzdWhF9htRL5D?_Li+efZ6#^Q&m;`lPS1Sm;J=Ty|IuLiX=p68tziEbp79N| literal 0 HcmV?d00001 diff --git a/utils/defgen/prompts.py b/utils/defgen/prompts.py new file mode 100644 index 0000000..0daa03e --- /dev/null +++ b/utils/defgen/prompts.py @@ -0,0 +1,67 @@ +system_prompt = '''You're an expert linguist. You are provided with a table schema with a description in XML format. +Your task is to analyze the tabular context and, based on the information received, give a brief but semantically succinct definition for each HEADER, +its format features (how to interpret signs, abbreviations, or complex strings, such as "A - B"). +If there are units of measurement in the EXAMPLES, then include them in the answer. + +The output must be in json in the dictionary format {

          :
          }. + +###################### +-Examples- +###################### +Example 1: + +
          +
          +
          +
          +
          +
          +###################### +Output: +{ +"planet": "The proper name of a celestial body in the Solar system, presented in text format.", +"type": "Classification of a planet by its physical and chemical composition (for example, 'terrestrial' — rocky or 'gas giant' — gas giant).", +"moons": "Quantitative indicator indicating the total number of confirmed natural satellites of the planet (integer).", +"diameter_km""The equatorial diameter of a celestial body, expressed in numerical terms. Unit of measurement: kilometers (km).", +"gravity_ms2": "Acceleration of gravity on the surface of the planet. Unit of measurement: meters per second squared ($$m/s^2$$)." +} +###################### +Example 2: + +
          +
          +
          +###################### +Output: +{ + "title": "The official name of a literary work, written in text form.", + "author": "The first and last name of the author (creator) of the work, presented as a string." +} +###################### +Example 3: + +
          +
          +
          +
          +
          +
          +###################### +Output: +{ + "model": "The commercial name of a specific device, including the series name and serial number.", +"brand": "The name of the manufacturing company (brand) responsible for the release of the device.", +"screen_size": "The diagonal size of the device's display, represented as a decimal. Unit of measurement: inches.", +"ram_gb": "The amount of RAM available for the system and applications. Unit of measurement: gigabytes (GB).", +"battery_mah": "The electrical capacity of the device's battery, which determines the battery life. Unit of measurement: milliampere-hours (mAh)." +} + +''' +prompt = ''' +###################### +-Real Data- +###################### +{input_text} +###################### +Output: +''' \ No newline at end of file diff --git a/utils/doduo/doduo.py b/utils/doduo/doduo.py index 191a03c..a91097b 100644 --- a/utils/doduo/doduo.py +++ b/utils/doduo/doduo.py @@ -213,7 +213,7 @@ def rename_func(self,key): return key.replace("bert.", "") - def annotate_columns(self, df: pd.DataFrame, top_k: int= 1, threshold: float = 0.5)-> List[List[Tuple[str,float]]]: + def annotate_columns(self, df: pd.DataFrame, top_k: int= 1, threshold: float = 0.5,add_data = None)-> List[List[Tuple[str,float]]]: ## Dataset input_dataset = DFColTypeTablewiseDataset(df, self.tokenizer,device=self.device) diff --git a/utils/utils.py b/utils/utils.py index 2339fad..498441e 100644 --- a/utils/utils.py +++ b/utils/utils.py @@ -10,6 +10,7 @@ import pandas as pd from concurrent.futures import ThreadPoolExecutor import yaml +from utils.type_check import analyze_dataset_parallel def load_config(config_file_path): with open(config_file_path, 'r') as stream: @@ -52,15 +53,16 @@ def serialize_table_to_tapex_format(df:pd.DataFrame) -> str: return lin_table -def make_semantic_columns_name(table: DataFrame, model: Doduo = None, top_k: int = 1, - threshold: float = 0.5) -> List[Tuple[str, Dict[str, float]]]: - columns_annotations = model.annotate_columns(table, top_k=top_k, threshold=threshold) +def make_semantic_columns_name(table: DataFrame, model: Any = None, top_k: int = 1, + threshold: float = 0.5,add_data=None) -> List[Tuple[str, Dict[str, float]]]: + #print(add_data) + columns_annotations = model.annotate_columns(table, top_k=top_k, threshold=threshold,add_data = add_data) semantic_columns_name = [] for col_id, col_name in enumerate(table.columns): sem_col_types = get_item(columns_annotations, col_id) sem_col_types = sem_col_types if sem_col_types is not None else [(None, None)] semantic_columns_name.append((col_name, {col_types[0]: col_types[1] for col_types in sem_col_types})) - + #print(semantic_columns_name) return semantic_columns_name @@ -232,8 +234,8 @@ def get_elements_xml_serialization(table: pd.DataFrame,include_data_types: bool if include_semantic_types: sem_t = ET.SubElement(head, "SEMANTIC_TYPE") sem_t.text = 'NO TYPE' - sem_t.text = " ; ".join([" - ".join([type_,str(round(prop,2))]) for type_,prop in sem_types[col_idx][1].items()]) - + sem_t.text = " ; ".join([" - ".join([type_,str(round(prop,2) if prop != None else '')]) for type_,prop in sem_types[col_idx][1].items()]) + if include_data_types: data_t = ET.SubElement(head, "DATA_TYPE") #print('data_type',column_name,data_types[column_name][0]) @@ -264,9 +266,10 @@ def get_attributes_xml_serialization(table: pd.DataFrame,include_data_types: boo head.set("NAME",column_name) if include_semantic_types: - head.set("SEMANTIC_TYPE"," ; ".join([" - ".join([type_,str(round(prop,2))]) + #head.set("SEMANTIC_TYPE"," ; ".join([" - ".join([type_,str(round(prop,2) if prop != None else '')]) + # for type_,prop in sem_types[col_idx][1].items()])) + head.set("COLUMN DESCRIPTION"," ; ".join([" - ".join([type_,str(round(prop,2) if prop != None else '')]) for type_,prop in sem_types[col_idx][1].items()])) - if include_data_types: head.set("DATA_TYPE",json.dumps(data_types[column_name][0])) head.set("HAS_NONE",'1' if data_types[column_name][1] else '0') @@ -296,7 +299,7 @@ def get_html_serialization(table: pd.DataFrame,include_data_types: bool = True,i th.text = column_name if include_semantic_types: - th.set("SEMANTIC_TYPE"," ; ".join([" - ".join([type_,str(round(prop,2))]) + th.set("SEMANTIC_TYPE"," ; ".join([" - ".join([type_,str(round(prop,2) if prop != None else '')]) for type_,prop in sem_types[col_idx][1].items()])) if include_data_types: From ca801a9e248e2991e5b5e37bd498139c7f5c8d1f Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Sat, 28 Mar 2026 14:05:09 +0800 Subject: [PATCH 05/31] add lora train with wandb --- finetune.py | 0 requirements.txt | 209 +++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 209 insertions(+) create mode 100644 finetune.py create mode 100644 requirements.txt diff --git a/finetune.py b/finetune.py new file mode 100644 index 0000000..e69de29 diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..85a5790 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,209 @@ +accelerate==1.13.0 +addict==2.4.0 +aiohappyeyeballs==2.6.1 +aiohttp==3.13.2 +aiosignal==1.4.0 +annotated-doc==0.0.4 +annotated-types==0.7.0 +anthropic==0.71.0 +anyio==4.11.0 +apache-tvm-ffi==0.1.4 +astor==0.8.1 +asttokens==3.0.0 +async-timeout==5.0.1 +attrs==25.4.0 +blake3==1.0.8 +cachetools==6.2.2 +cbor2==5.7.1 +certifi==2025.11.12 +charset-normalizer==3.4.4 +click==8.2.1 +cloudpickle==3.1.2 +comm==0.2.3 +compressed-tensors==0.12.2 +contourpy==1.3.2 +cuda-bindings==13.0.3 +cuda-pathfinder==1.3.2 +cuda-python==13.0.3 +cupy-cuda12x==13.6.0 +cycler==0.12.1 +datasets==4.4.1 +debugpy==1.8.17 +decorator==5.2.1 +depyf==0.20.0 +dill==0.4.0 +diskcache==5.6.3 +distro==1.9.0 +dnspython==2.8.0 +docstring_parser==0.17.0 +einops==0.8.1 +email-validator==2.3.0 +exceptiongroup==1.3.0 +executing==2.2.1 +faiss-cpu==1.13.2 +fastapi==0.122.0 +fastapi-cli==0.0.16 +fastapi-cloud-cli==0.5.2 +fastar==0.8.0 +fastrlock==0.8.3 +filelock==3.20.0 +flashinfer-python==0.5.2 +fonttools==4.61.0 +frozenlist==1.8.0 +fsspec==2025.10.0 +gguf==0.17.1 +gitdb==4.0.12 +GitPython==3.1.46 +h11==0.16.0 +hf-xet==1.2.0 +httpcore==1.0.9 +httptools==0.7.1 +httpx==0.28.1 +huggingface-hub==0.36.0 +idna==3.11 +interegular==0.3.3 +ipykernel==7.1.0 +ipython==8.37.0 +ipywidgets==8.1.8 +jedi==0.19.2 +Jinja2==3.1.6 +jiter==0.12.0 +jmespath==1.0.1 +joblib==1.5.2 +jsonschema==4.25.1 +jsonschema-specifications==2025.9.1 +jupyter_client==8.6.3 +jupyter_core==5.9.1 +jupyterlab_widgets==3.0.16 +kiwisolver==1.4.9 +lark==1.2.2 +llguidance==1.3.0 +llvmlite==0.44.0 +lm-format-enforcer==0.11.3 +loguru==0.7.3 +markdown-it-py==4.0.0 +MarkupSafe==3.0.3 +matplotlib==3.10.7 +matplotlib-inline==0.2.1 +mdurl==0.1.2 +mistral_common==1.8.5 +model-hosting-container-standards==0.1.9 +modelscope==1.31.0 +mpmath==1.3.0 +msgpack==1.1.2 +msgspec==0.20.0 +multidict==6.7.0 +multiprocess==0.70.18 +nest-asyncio==1.6.0 +networkx==3.4.2 +ninja==1.13.0 +numba==0.61.2 +numpy==2.2.6 +nvidia-cublas-cu12==12.8.4.1 +nvidia-cuda-cupti-cu12==12.8.90 +nvidia-cuda-nvrtc-cu12==12.8.93 +nvidia-cuda-runtime-cu12==12.8.90 +nvidia-cudnn-cu12==9.10.2.21 +nvidia-cudnn-frontend==1.16.0 +nvidia-cufft-cu12==11.3.3.83 +nvidia-cufile-cu12==1.13.1.3 +nvidia-curand-cu12==10.3.9.90 +nvidia-cusolver-cu12==11.7.3.90 +nvidia-cusparse-cu12==12.5.8.93 +nvidia-cusparselt-cu12==0.7.1 +nvidia-cutlass-dsl==4.3.1 +nvidia-ml-py==13.580.82 +nvidia-nccl-cu12==2.27.5 +nvidia-nvjitlink-cu12==12.8.93 +nvidia-nvshmem-cu12==3.3.20 +nvidia-nvtx-cu12==12.8.90 +openai==2.8.1 +openai-harmony==0.0.8 +opencv-python-headless==4.12.0.88 +outlines_core==0.2.11 +packaging==25.0 +pandas==2.3.3 +parso==0.8.5 +partial-json-parser==0.2.1.1.post7 +peft==0.18.1 +pexpect==4.9.0 +pillow==12.0.0 +platformdirs==4.5.0 +prometheus-fastapi-instrumentator==7.1.0 +prometheus_client==0.23.1 +prompt_toolkit==3.0.52 +propcache==0.4.1 +protobuf==6.33.1 +psutil==7.1.3 +ptyprocess==0.7.0 +pure_eval==0.2.3 +py-cpuinfo==9.0.0 +pyarrow==22.0.0 +pybase64==1.4.2 +pycountry==24.6.1 +pydantic==2.12.5 +pydantic-extra-types==2.10.6 +pydantic_core==2.41.5 +Pygments==2.19.2 +pyparsing==3.2.5 +python-dateutil==2.9.0.post0 +python-dotenv==1.2.1 +python-json-logger==4.0.0 +python-multipart==0.0.20 +pytz==2025.2 +PyYAML==6.0.3 +pyzmq==27.1.0 +ray==2.52.1 +referencing==0.37.0 +regex==2025.11.3 +requests==2.32.5 +rich==14.2.0 +rich-toolkit==0.17.0 +rignore==0.7.6 +rpds-py==0.29.0 +safetensors==0.6.2 +scikit-learn==1.7.2 +scipy==1.15.3 +seaborn==0.13.2 +sentencepiece==0.2.1 +sentry-sdk==2.46.0 +setproctitle==1.3.7 +shellingham==1.5.4 +six==1.17.0 +smmap==5.0.3 +sniffio==1.3.1 +stack-data==0.6.3 +starlette==0.50.0 +supervisor==4.3.0 +sympy==1.14.0 +tabulate==0.9.0 +threadpoolctl==3.6.0 +tiktoken==0.12.0 +tokenizers==0.22.1 +tomli==2.3.0 +torch==2.9.0 +torchaudio==2.9.0 +torchvision==0.24.0 +tornado==6.5.2 +tqdm==4.67.1 +traitlets==5.14.3 +transformers==4.57.1 +triton==3.5.0 +trl==0.29.1 +typer==0.20.0 +typing-inspection==0.4.2 +typing_extensions==4.15.0 +tzdata==2025.2 +urllib3==2.5.0 +uvicorn==0.38.0 +uvloop==0.22.1 +vllm==0.11.2 +wandb==0.25.1 +watchfiles==1.1.1 +wcwidth==0.2.14 +websockets==15.0.1 +widgetsnbextension==4.0.15 +xformers==0.0.33.post1 +xgrammar==0.1.25 +xxhash==3.6.0 +yarl==1.22.0 From ce0b4feff0fd12bfa3464304b37e130158c2eb33 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Sat, 28 Mar 2026 15:19:58 +0800 Subject: [PATCH 06/31] try --- finetune.py | 276 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 276 insertions(+) diff --git a/finetune.py b/finetune.py index e69de29..886e60a 100644 --- a/finetune.py +++ b/finetune.py @@ -0,0 +1,276 @@ +from trl import SFTTrainer +from peft import LoraConfig,TaskType +import wandb + +# Start a new wandb run to track this script +from transformers import TrainerCallback +import time + + +import torch +from typing import Any, Dict, List, Union, Optional +from transformers import DataCollatorForLanguageModeling +import random +import numpy as np +from dataclasses import dataclass, field +import transformers +from datasets import load_from_disk +IGNORE_INDEX = -100 +EOT_TOKEN = "<|EOT|>" + +def set_global_seed(seed: int = 42): + """ + Фиксирует seed для обеспечения полной воспроизводимости экспериментов. + """ + # 1. Фиксация в стандартном Python + random.seed(seed) + + # 2. Фиксация в NumPy + np.random.seed(seed) + + # 3. Фиксация в PyTorch (CPU) + torch.manual_seed(seed) + + # 4. Фиксация в PyTorch (GPU) + torch.cuda.manual_seed(seed) + torch.cuda.manual_seed_all(seed) # Важно, если используется несколько видеокарт (Multi-GPU) + + # 5. Настройки CuDNN (GPU backend) + # Детерминированные алгоритмы (может незначительно снизить скорость обучения) + #torch.backends.cudnn.deterministic = True + # Отключение автоматического поиска оптимальных алгоритмов свертки + #torch.backends.cudnn.benchmark = False + + # 6. Фиксация в Hugging Face Transformers + transformers.set_seed(seed) + +def build_instruction_prompt(table: str,query: str): + return """ +### Instruction: +You are a Python expert specializing in pandas. Your task is to translate the +given natural language query into a single-line pandas expression. This +expression must be valid and executable to verify the truth of the statement +using the provided table. Consider the following: +1. The table schema is represented in XML format. +2. The table is represented as a pandas DataFrame named df. +3. Do not include explanations, comments, or multiline outputs. +4. Ensure the output is concise, correct, and when run outputs either True or +False, and strictly in the following Json Format with a single key "PANDA": +"PANDA": "" + +### Table schema +{table} +### Query +{query} +### Response: +""".format(instruction.strip()).lstrip() + +@dataclass +class ModelArguments: + model_name_or_path: Optional[str] = field(default="deepseek-ai/deepseek-coder-6.7b-instruct") + run_name: Optional[str] = field(default="test_run") + +@dataclass +class DataArguments: + data_path: str = field(default=None, metadata={"help": "Path to the training data."}) + table_col_name: str = field(default=None, metadata={"help": "Name column with table serialization."}) + + +@dataclass +class TrainingArguments(transformers.TrainingArguments): + cache_dir: Optional[str] = field(default=None) + optim: str = field(default="adamw_torch") + model_max_length: int = field( + default=512, + metadata={"help": "Maximum sequence length. Sequences will be right padded (and possibly truncated)."}, + ) + seed: int = field(default=42, metadata={"help": "Random seed for initialization."}) + + +class CustomCompletionOnlyCollator(DataCollatorForLanguageModeling): + def __init__(self, response_template: str, tokenizer, *args, **kwargs): + # Обязательно выключаем Masked Language Modeling (mlm=False), так как у нас Causal LM + super().__init__(tokenizer=tokenizer, mlm=False, *args, **kwargs) + # Токенизируем шаблон ответа (без спецтокенов, чтобы избежать конфликтов с BOS) + self.response_template_ids = tokenizer.encode(response_template, add_special_tokens=False) + + def torch_call(self, examples: List[Union[List[int], Any, Dict[str, Any]]]) -> Dict[str, Any]: + # Стандартный коллатор соберет батч и создаст input_ids и labels + batch = super().torch_call(examples) + labels = batch["labels"].clone() + + for i in range(len(labels)): + label_list = labels[i].tolist() + template_len = len(self.response_template_ids) + match_idx = -1 + + # Ищем подпоследовательность токенов шаблона ответа + for j in range(len(label_list) - template_len + 1): + if label_list[j : j + template_len] == self.response_template_ids: + match_idx = j + template_len + break + + if match_idx != -1: + # Маскируем всё ДО конца шаблона (заменяем на -100) + labels[i, :match_idx] = -100 + else: + # Если шаблон почему-то не найден в тексте, маскируем всё, + # чтобы модель не училась на неверно размеченных данных + labels[i, :] = -100 + + batch["labels"] = labels + return batch + + +class WandbLoggingCallback(TrainerCallback): + # 2. Вызывается в начале обучения + def on_train_begin(self, args, state, control, **kwargs): + + if state.is_world_process_zero: + print("Обучение начинается") + # Здесь логируются train_loss, learning_rate и т.д. + run.log({"start_train": time.time()}) + + + + # 6. Вызывается после каждого логирования (по logging_steps) + def on_log(self, args, state, control, logs=None, **kwargs): + if state.is_world_process_zero: + # Здесь логируются train_loss, learning_rate и т.д. + run.log({'train_time':time.time(),**logs}) + print(f"Логирование на шаге {state.global_step}: {logs}") + # Здесь можно отправить метрики в wandb + + # 7. Вызывается после каждой валидации (по eval_steps) + def on_evaluate(self, args, state, control, metrics=None, **kwargs): + if state.is_world_process_zero: + # Здесь логируются train_loss, learning_rate и т.д. + run.log({'eval_time':time.time(),**metrics}) + print(f"Валидация на шаге {state.global_step}: {metrics}") + # Здесь можно обработать метрики валидации + + # 10. Вызывается в конце обучения + def on_train_end(self, args, state, control, **kwargs): + if state.is_world_process_zero: + # Здесь логируются train_loss, learning_rate и т.д. + run.log({"End_train": time.time()}) + print("Обучение закончено") + # 11. Вызывается в конце (для очистки ресурсов) + + + +# 1. Твоя функция подготовки промпта (немного адаптирован под батчи) +def formatting_prompts_func(example,table_col_name=''): + output_texts = [] + # Важно: example содержит списки, так как SFTTrainer передает батчи + for i in range(len(example['statement'])): + prompt = build_instruction_prompt(example[table_col_name][i], example['statement'][i]) + response = f'"PANDA": {example["pandas_code"][i]}\n{EOT_TOKEN}' + output_texts.append(prompt + response) + return output_texts + + + +run = None + +def main(): + parser = transformers.HfArgumentParser((ModelArguments, DataArguments, TrainingArguments)) + model_args, data_args, training_args = parser.parse_args_into_dataclasses() + global run + run = wandb.init( + # Set the wandb entity where your project will be logged (generally your team name). + entity="ivan", + # Set the wandb project where this run will be logged. + project=model_args.run_name, + # Track hyperparameters and run metadata. + config={ + **model_args, + **data_args, + **data_args + }, +) + if training_args.local_rank == 0: + print('='*100) + print(training_args) + + tokenizer = transformers.AutoTokenizer.from_pretrained( + model_args.model_name_or_path, + model_max_length=training_args.model_max_length, + padding_side="right", + use_fast=True, + trust_remote_code=True + ) + + print("PAD Token:", tokenizer.pad_token, tokenizer.pad_token_id) + print("BOS Token", tokenizer.bos_token, tokenizer.bos_token_id) + print("EOS Token", tokenizer.eos_token, tokenizer.eos_token_id) + + if training_args.local_rank == 0: + print("Load tokenizer from {} over.".format(model_args.model_name_or_path)) + + model = transformers.AutoModelForCausalLM.from_pretrained( + model_args.model_name_or_path, + torch_dtype=torch.bfloat16 + ) + peft_config = LoraConfig( + task_type=TaskType.CAUSAL_LM, # Тип задачи + r=16, # Ранг матрицы (низкая размерность) + lora_alpha=32, # Масштабирующий коэффициент (обычно 2x от r) + lora_dropout=0.05, # Dropout для регуляризации + bias="none", # Обычно bias не обучают + target_modules=[ # Куда встраиваем матрицы + "q_proj", + "k_proj", + "v_proj", + "o_proj", + "gate_proj", + "up_proj", + "down_proj" + ], + ) + if training_args.local_rank == 0: + print("Load model from {} over.".format(model_args.model_name_or_path)) + + + #raw_train_datasets = load_dataset( + # 'json', + # data_files=data_args.data_path, + # split="train", + # cache_dir=training_args.cache_dir + #) + dataset = load_from_disk(data_path) + raw_train_datasets = dataset.get('train',None) + raw_eval_dataset = dataset.get('val',None) +# 2. Магия маскирования промпта (заменяет твой сложный preprocess) +# Модель не будет учиться генерировать инструкцию, только то, что после "### Response:\n" + response_template = "### Response:\n" + collator = CustomCompletionOnlyCollator( + response_template=response_template, + tokenizer=tokenizer + ) + + + # 3. Конфиг LoRA (передаем напрямую в Trainer) + + # 4. Инициализация SFTTrainer + trainer = SFTTrainer( + model=model, # Передаешь чистую загруженную модель (БЕЗ get_peft_model) + args=training_args, # Твои аргументы с deepspeed="config.json" работают здесь идеально! + train_dataset=raw_train_dataset, # Передаешь СЫРОЙ датасет, без .map() + eval_dataset = raw_eval_dataset, + formatting_func=formatting_prompts_func, # Функция, которая склеивает вопрос и ответ + data_collator=collator, # Тот самый умный коллатор + max_seq_length=training_args.model_max_length, # SFTTrainer сам обрежет длинные тексты + peft_config=peft_config, # SFTTrainer сам применит LoRA + callbacks=[WandbLoggingCallback()] + ) + + # 5. Запуск + trainer.train() + trainer.save_state() + trainer.save_model(training_args.output_dir) + run.finish() + + +if __name__ == '__main__': + main() \ No newline at end of file From 46924d7f055ec4f9aa8c9c4273617199cb14bbc8 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 14:50:44 +0800 Subject: [PATCH 07/31] Add params --- finetune.py | 1 + 1 file changed, 1 insertion(+) diff --git a/finetune.py b/finetune.py index 886e60a..377da24 100644 --- a/finetune.py +++ b/finetune.py @@ -85,6 +85,7 @@ class TrainingArguments(transformers.TrainingArguments): metadata={"help": "Maximum sequence length. Sequences will be right padded (and possibly truncated)."}, ) seed: int = field(default=42, metadata={"help": "Random seed for initialization."}) + deepspeed: Optional[str] = field(default=None) class CustomCompletionOnlyCollator(DataCollatorForLanguageModeling): From 18285d393f1bfc5ea24d7fe2ce2755eda6648442 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 15:42:18 +0800 Subject: [PATCH 08/31] Add params --- finetune.py | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/finetune.py b/finetune.py index 377da24..be2a7bb 100644 --- a/finetune.py +++ b/finetune.py @@ -5,7 +5,7 @@ # Start a new wandb run to track this script from transformers import TrainerCallback import time - +from functools import partial import torch from typing import Any, Dict, List, Union, Optional @@ -15,6 +15,7 @@ from dataclasses import dataclass, field import transformers from datasets import load_from_disk + IGNORE_INDEX = -100 EOT_TOKEN = "<|EOT|>" @@ -69,6 +70,9 @@ def build_instruction_prompt(table: str,query: str): class ModelArguments: model_name_or_path: Optional[str] = field(default="deepseek-ai/deepseek-coder-6.7b-instruct") run_name: Optional[str] = field(default="test_run") + lora_rank: int = field(default=16 ) + lora_dropout: float = field(default=0.05) + @dataclass class DataArguments: @@ -85,7 +89,7 @@ class TrainingArguments(transformers.TrainingArguments): metadata={"help": "Maximum sequence length. Sequences will be right padded (and possibly truncated)."}, ) seed: int = field(default=42, metadata={"help": "Random seed for initialization."}) - deepspeed: Optional[str] = field(default=None) + class CustomCompletionOnlyCollator(DataCollatorForLanguageModeling): @@ -215,9 +219,9 @@ def main(): ) peft_config = LoraConfig( task_type=TaskType.CAUSAL_LM, # Тип задачи - r=16, # Ранг матрицы (низкая размерность) - lora_alpha=32, # Масштабирующий коэффициент (обычно 2x от r) - lora_dropout=0.05, # Dropout для регуляризации + r=model_args.lora_rank, # Ранг матрицы (низкая размерность) + lora_alpha=2*model_args.lora_rank, # Масштабирующий коэффициент (обычно 2x от r) + lora_dropout=model_args.lora_dropout, # Dropout для регуляризации bias="none", # Обычно bias не обучают target_modules=[ # Куда встраиваем матрицы "q_proj", @@ -229,6 +233,7 @@ def main(): "down_proj" ], ) + formatting_prompts_func_loc = partial(formatting_prompts_func,table_col_name=data_args.table_col_name) if training_args.local_rank == 0: print("Load model from {} over.".format(model_args.model_name_or_path)) @@ -259,7 +264,7 @@ def main(): args=training_args, # Твои аргументы с deepspeed="config.json" работают здесь идеально! train_dataset=raw_train_dataset, # Передаешь СЫРОЙ датасет, без .map() eval_dataset = raw_eval_dataset, - formatting_func=formatting_prompts_func, # Функция, которая склеивает вопрос и ответ + formatting_func=formatting_prompts_func_loc, # Функция, которая склеивает вопрос и ответ data_collator=collator, # Тот самый умный коллатор max_seq_length=training_args.model_max_length, # SFTTrainer сам обрежет длинные тексты peft_config=peft_config, # SFTTrainer сам применит LoRA From 71404e375e5940c4239c0f9428dc48d00546c894 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 15:47:18 +0800 Subject: [PATCH 09/31] Add params --- finetune.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/finetune.py b/finetune.py index be2a7bb..64df961 100644 --- a/finetune.py +++ b/finetune.py @@ -69,7 +69,7 @@ def build_instruction_prompt(table: str,query: str): @dataclass class ModelArguments: model_name_or_path: Optional[str] = field(default="deepseek-ai/deepseek-coder-6.7b-instruct") - run_name: Optional[str] = field(default="test_run") + expr_name: Optional[str] = field(default="test_run") lora_rank: int = field(default=16 ) lora_dropout: float = field(default=0.05) @@ -186,7 +186,7 @@ def main(): # Set the wandb entity where your project will be logged (generally your team name). entity="ivan", # Set the wandb project where this run will be logged. - project=model_args.run_name, + project=model_args.expr_name, # Track hyperparameters and run metadata. config={ **model_args, From fba32fe82158510cccafd2a1cf09ec8316867e2f Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 15:57:36 +0800 Subject: [PATCH 10/31] Add params --- finetune.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/finetune.py b/finetune.py index 64df961..c6e3759 100644 --- a/finetune.py +++ b/finetune.py @@ -189,11 +189,11 @@ def main(): project=model_args.expr_name, # Track hyperparameters and run metadata. config={ - **model_args, - **data_args, - **data_args - }, -) + **vars(model_args), + **vars(data_args), + **vars(training_args) + } + ) if training_args.local_rank == 0: print('='*100) print(training_args) From 869523d368f4813893fcef71b30890a7dc568742 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 16:03:11 +0800 Subject: [PATCH 11/31] Add params --- finetune.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/finetune.py b/finetune.py index c6e3759..06d63f2 100644 --- a/finetune.py +++ b/finetune.py @@ -244,7 +244,7 @@ def main(): # split="train", # cache_dir=training_args.cache_dir #) - dataset = load_from_disk(data_path) + dataset = load_from_disk(data_args.data_path) raw_train_datasets = dataset.get('train',None) raw_eval_dataset = dataset.get('val',None) # 2. Магия маскирования промпта (заменяет твой сложный preprocess) From ce8fa51463d48411f7e592f45f05aded1e8aa527 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 16:05:02 +0800 Subject: [PATCH 12/31] err correcting --- finetune.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/finetune.py b/finetune.py index 06d63f2..c198066 100644 --- a/finetune.py +++ b/finetune.py @@ -245,7 +245,7 @@ def main(): # cache_dir=training_args.cache_dir #) dataset = load_from_disk(data_args.data_path) - raw_train_datasets = dataset.get('train',None) + raw_train_dataset = dataset.get('train',None) raw_eval_dataset = dataset.get('val',None) # 2. Магия маскирования промпта (заменяет твой сложный preprocess) # Модель не будет учиться генерировать инструкцию, только то, что после "### Response:\n" From 80f00aea537908b5e1177c8cf8dae30042c550c0 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 16:07:55 +0800 Subject: [PATCH 13/31] err correcting --- finetune.py | 1 - 1 file changed, 1 deletion(-) diff --git a/finetune.py b/finetune.py index c198066..e98ab66 100644 --- a/finetune.py +++ b/finetune.py @@ -266,7 +266,6 @@ def main(): eval_dataset = raw_eval_dataset, formatting_func=formatting_prompts_func_loc, # Функция, которая склеивает вопрос и ответ data_collator=collator, # Тот самый умный коллатор - max_seq_length=training_args.model_max_length, # SFTTrainer сам обрежет длинные тексты peft_config=peft_config, # SFTTrainer сам применит LoRA callbacks=[WandbLoggingCallback()] ) From 77b37ee2ed6523dee2a04568cd8e736f21832e14 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 16:09:34 +0800 Subject: [PATCH 14/31] err correcting --- finetune.py | 1 - 1 file changed, 1 deletion(-) diff --git a/finetune.py b/finetune.py index e98ab66..ba6af9c 100644 --- a/finetune.py +++ b/finetune.py @@ -82,7 +82,6 @@ class DataArguments: @dataclass class TrainingArguments(transformers.TrainingArguments): - cache_dir: Optional[str] = field(default=None) optim: str = field(default="adamw_torch") model_max_length: int = field( default=512, From 02d9962159f52bd50b02a00d7d8b8562e6fe0e48 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 16:13:21 +0800 Subject: [PATCH 15/31] err correcting --- finetune.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/finetune.py b/finetune.py index ba6af9c..d210d87 100644 --- a/finetune.py +++ b/finetune.py @@ -83,7 +83,7 @@ class DataArguments: @dataclass class TrainingArguments(transformers.TrainingArguments): optim: str = field(default="adamw_torch") - model_max_length: int = field( + max_seq_length: int = field( default=512, metadata={"help": "Maximum sequence length. Sequences will be right padded (and possibly truncated)."}, ) @@ -199,7 +199,7 @@ def main(): tokenizer = transformers.AutoTokenizer.from_pretrained( model_args.model_name_or_path, - model_max_length=training_args.model_max_length, + model_max_length=training_args.max_seq_length, padding_side="right", use_fast=True, trust_remote_code=True From c5d82ae6b19b359c75d1ae0251aa60f384c00f98 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 16:17:10 +0800 Subject: [PATCH 16/31] err correcting --- finetune.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/finetune.py b/finetune.py index d210d87..35f2348 100644 --- a/finetune.py +++ b/finetune.py @@ -83,7 +83,7 @@ class DataArguments: @dataclass class TrainingArguments(transformers.TrainingArguments): optim: str = field(default="adamw_torch") - max_seq_length: int = field( + max_length: int = field( default=512, metadata={"help": "Maximum sequence length. Sequences will be right padded (and possibly truncated)."}, ) @@ -199,7 +199,7 @@ def main(): tokenizer = transformers.AutoTokenizer.from_pretrained( model_args.model_name_or_path, - model_max_length=training_args.max_seq_length, + model_max_length=training_args.max_length, padding_side="right", use_fast=True, trust_remote_code=True From 1dec7dbeeda2cc99a0f09b37071956efdf9790aa Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 16:19:53 +0800 Subject: [PATCH 17/31] err correcting --- finetune.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/finetune.py b/finetune.py index 35f2348..dd6e294 100644 --- a/finetune.py +++ b/finetune.py @@ -64,7 +64,7 @@ def build_instruction_prompt(table: str,query: str): ### Query {query} ### Response: -""".format(instruction.strip()).lstrip() +""".format(table=table, query=query).lstrip() @dataclass class ModelArguments: From c34efece2911afab5d60396e1a54517276555de0 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 16:32:31 +0800 Subject: [PATCH 18/31] err correcting --- finetune.py | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/finetune.py b/finetune.py index dd6e294..b3e4626 100644 --- a/finetune.py +++ b/finetune.py @@ -165,13 +165,18 @@ def on_train_end(self, args, state, control, **kwargs): # 1. Твоя функция подготовки промпта (немного адаптирован под батчи) def formatting_prompts_func(example,table_col_name=''): - output_texts = [] + #output_texts = [] + #print(example) # Важно: example содержит списки, так как SFTTrainer передает батчи - for i in range(len(example['statement'])): - prompt = build_instruction_prompt(example[table_col_name][i], example['statement'][i]) - response = f'"PANDA": {example["pandas_code"][i]}\n{EOT_TOKEN}' - output_texts.append(prompt + response) - return output_texts + #for i in range(len(example['statement'])): + # prompt = build_instruction_prompt(example[table_col_name][i], example['statement'][i]) + # response = f'"PANDA": {example["pandas_code"][i]}\n{EOT_TOKEN}' + # output_texts.append(prompt + response) + #return output_texts + return { + "prompt": build_instruction_prompt(example[table_col_name], example['statement']), + "completion": f'"PANDA": {example["pandas_code"]}\n{EOT_TOKEN}' + } From 2c9390cdcb4839ee3c0aae378a48914282343227 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 16:54:46 +0800 Subject: [PATCH 19/31] err correcting --- finetune.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/finetune.py b/finetune.py index b3e4626..5e94287 100644 --- a/finetune.py +++ b/finetune.py @@ -173,10 +173,7 @@ def formatting_prompts_func(example,table_col_name=''): # response = f'"PANDA": {example["pandas_code"][i]}\n{EOT_TOKEN}' # output_texts.append(prompt + response) #return output_texts - return { - "prompt": build_instruction_prompt(example[table_col_name], example['statement']), - "completion": f'"PANDA": {example["pandas_code"]}\n{EOT_TOKEN}' - } + return build_instruction_prompt(example[table_col_name], example['statement'])+ f'"PANDA": {example["pandas_code"]}\n{EOT_TOKEN}' From 6649af6103e3bbc69011b6f684d092b9987c3a75 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 20:02:37 +0800 Subject: [PATCH 20/31] add hiperparam search scrypt --- optimize.py | 321 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 321 insertions(+) create mode 100644 optimize.py diff --git a/optimize.py b/optimize.py new file mode 100644 index 0000000..dfddf17 --- /dev/null +++ b/optimize.py @@ -0,0 +1,321 @@ +from trl import SFTTrainer +from peft import LoraConfig,TaskType,get_peft_model +import wandb +import optuna +# Start a new wandb run to track this script +from transformers import TrainerCallback +import time +from functools import partial + +import torch +from typing import Any, Dict, List, Union, Optional +from transformers import DataCollatorForLanguageModeling +import random +import numpy as np +from dataclasses import dataclass, field +import transformers +from datasets import load_from_disk + +IGNORE_INDEX = -100 +EOT_TOKEN = "<|EOT|>" +def optuna_hp_space(trial): + return { + "learning_rate": trial.suggest_float("learning_rate", 1e-5, 5e-4, log=True), + "per_device_train_batch_size": trial.suggest_categorical("per_device_train_batch_size", [8, 16, 32]), + "weight_decay": trial.suggest_float("weight_decay", 1e-4, 0.1, log=True), + "warmup_ratio": trial.suggest_float("warmup_ratio", 0.0, 0.15), + "lr_scheduler_type": trial.suggest_categorical("lr_scheduler_type", ["cosine", "linear"]) + + # Можно добавить weight_decay, warmup_steps и т.д. + } + +def model_init_(trial,model_name=None,lora_rank=None,lora_dropout=None): + if trial is not None: + lora_rank = trial.suggest_categorical("lora_rank", [ 16, 32,64 ]) + lora_dropout = trial.suggest_float("lora_dropout", 0.0, 0.1) + + model = transformers.AutoModelForCausalLM.from_pretrained( + model_name, + torch_dtype=torch.bfloat16 + ) + peft_config = LoraConfig( + task_type=TaskType.CAUSAL_LM, # Тип задачи + r=lora_rank, # Ранг матрицы (низкая размерность) + lora_alpha=2*lora_rank, # Масштабирующий коэффициент (обычно 2x от r) + lora_dropout=lora_dropout, # Dropout для регуляризации + bias="none", # Обычно bias не обучают + target_modules=[ # Куда встраиваем матрицы + "q_proj", + "k_proj", + "v_proj", + "o_proj", + "gate_proj", + "up_proj", + "down_proj" + ], + ) + return get_peft_model(model,peft_config) +def set_global_seed(seed: int = 42): + """ + Фиксирует seed для обеспечения полной воспроизводимости экспериментов. + """ + # 1. Фиксация в стандартном Python + random.seed(seed) + + # 2. Фиксация в NumPy + np.random.seed(seed) + + # 3. Фиксация в PyTorch (CPU) + torch.manual_seed(seed) + + # 4. Фиксация в PyTorch (GPU) + torch.cuda.manual_seed(seed) + torch.cuda.manual_seed_all(seed) # Важно, если используется несколько видеокарт (Multi-GPU) + + # 5. Настройки CuDNN (GPU backend) + # Детерминированные алгоритмы (может незначительно снизить скорость обучения) + #torch.backends.cudnn.deterministic = True + # Отключение автоматического поиска оптимальных алгоритмов свертки + #torch.backends.cudnn.benchmark = False + + # 6. Фиксация в Hugging Face Transformers + transformers.set_seed(seed) + +def build_instruction_prompt(table: str,query: str): + return """ +### Instruction: +You are a Python expert specializing in pandas. Your task is to translate the +given natural language query into a single-line pandas expression. This +expression must be valid and executable to verify the truth of the statement +using the provided table. Consider the following: +1. The table schema is represented in XML format. +2. The table is represented as a pandas DataFrame named df. +3. Do not include explanations, comments, or multiline outputs. +4. Ensure the output is concise, correct, and when run outputs either True or +False, and strictly in the following Json Format with a single key "PANDA": +"PANDA": "" + +### Table schema +{table} +### Query +{query} +### Response: +""".format(table=table, query=query).lstrip() + +@dataclass +class ModelArguments: + model_name_or_path: Optional[str] = field(default="deepseek-ai/deepseek-coder-6.7b-instruct") + expr_name: Optional[str] = field(default="test_run") + lora_rank: int = field(default=16 ) + lora_dropout: float = field(default=0.05) + + +@dataclass +class DataArguments: + data_path: str = field(default=None, metadata={"help": "Path to the training data."}) + table_col_name: str = field(default=None, metadata={"help": "Name column with table serialization."}) + + +@dataclass +class TrainingArguments(transformers.TrainingArguments): + optim: str = field(default="adamw_torch") + max_length: int = field( + default=512, + metadata={"help": "Maximum sequence length. Sequences will be right padded (and possibly truncated)."}, + ) + seed: int = field(default=42, metadata={"help": "Random seed for initialization."}) + + + +class CustomCompletionOnlyCollator(DataCollatorForLanguageModeling): + def __init__(self, response_template: str, tokenizer, *args, **kwargs): + # Обязательно выключаем Masked Language Modeling (mlm=False), так как у нас Causal LM + super().__init__(tokenizer=tokenizer, mlm=False, *args, **kwargs) + # Токенизируем шаблон ответа (без спецтокенов, чтобы избежать конфликтов с BOS) + self.response_template_ids = tokenizer.encode(response_template, add_special_tokens=False) + + def torch_call(self, examples: List[Union[List[int], Any, Dict[str, Any]]]) -> Dict[str, Any]: + # Стандартный коллатор соберет батч и создаст input_ids и labels + batch = super().torch_call(examples) + labels = batch["labels"].clone() + + for i in range(len(labels)): + label_list = labels[i].tolist() + template_len = len(self.response_template_ids) + match_idx = -1 + + # Ищем подпоследовательность токенов шаблона ответа + for j in range(len(label_list) - template_len + 1): + if label_list[j : j + template_len] == self.response_template_ids: + match_idx = j + template_len + break + + if match_idx != -1: + # Маскируем всё ДО конца шаблона (заменяем на -100) + labels[i, :match_idx] = -100 + else: + # Если шаблон почему-то не найден в тексте, маскируем всё, + # чтобы модель не училась на неверно размеченных данных + labels[i, :] = -100 + + batch["labels"] = labels + return batch + + +class WandbLoggingCallback(TrainerCallback): + def __init__(self, project_name: str, entity: str = None): + # Передаем настройки проекта при создании коллбека + self.project_name = project_name + self.entity = entity + + # 2. Вызывается в начале обучения (каждого отдельного Trial) + def on_train_begin(self, args, state, control, **kwargs): + if state.is_world_process_zero: + print(f"Обучение начинается. Запуск: {args.run_name}") + + # Инициализируем НОВЫЙ запуск для текущего trial + # Trainer сам подменяет args.run_name на уникальное имя при поиске + wandb.init( + project=self.project_name, + entity=self.entity, + name=args.run_name, # Уникальное имя (например, run-1, run-2) + reinit=True, # КРИТИЧЕСКИ ВАЖНО: разрешает перезапуск + config=args.to_dict() # Сохраняем гиперпараметры именно этого trial + ) + + wandb.log({"start_train": time.time()}) + + # 6. Вызывается после каждого логирования (по logging_steps) + def on_log(self, args, state, control, logs=None, **kwargs): + if state.is_world_process_zero and wandb.run is not None: + # Заменили run.log на wandb.log (пишет в текущий активный процесс) + wandb.log({'train_time': time.time(), **logs}) + print(f"Логирование на шаге {state.global_step}: {logs}") + + # 7. Вызывается после каждой валидации (по eval_steps) + def on_evaluate(self, args, state, control, metrics=None, **kwargs): + if state.is_world_process_zero and wandb.run is not None: + wandb.log({'eval_time': time.time(), **metrics}) + print(f"Валидация на шаге {state.global_step}: {metrics}") + + # 10. Вызывается в конце обучения (одного Trial) + def on_train_end(self, args, state, control, **kwargs): + if state.is_world_process_zero: + if wandb.run is not None: + wandb.log({"End_train": time.time()}) + print(f"Обучение {args.run_name} закончено. Закрываем сессию WandB.") + + # КРИТИЧЕСКИ ВАЖНО: закрываем сессию, чтобы следующий trial + # начал запись в новый чистый лог + wandb.finish() + + +# 1. Твоя функция подготовки промпта (немного адаптирован под батчи) +def formatting_prompts_func(example,table_col_name=''): + #output_texts = [] + #print(example) + # Важно: example содержит списки, так как SFTTrainer передает батчи + #for i in range(len(example['statement'])): + # prompt = build_instruction_prompt(example[table_col_name][i], example['statement'][i]) + # response = f'"PANDA": {example["pandas_code"][i]}\n{EOT_TOKEN}' + # output_texts.append(prompt + response) + #return output_texts + return build_instruction_prompt(example[table_col_name], example['statement'])+ f'"PANDA": {example["pandas_code"]}\n{EOT_TOKEN}' + + + +def main(): + parser = transformers.HfArgumentParser((ModelArguments, DataArguments, TrainingArguments)) + model_args, data_args, training_args = parser.parse_args_into_dataclasses() + model_init = partial(model_init_,model_name=model_args.model_name_or_path, + lora_rank=model_args.lora_rank, + lora_dropout=model_args.lora_dropout) + + if training_args.local_rank == 0: + print('='*100) + print(training_args) + + tokenizer = transformers.AutoTokenizer.from_pretrained( + model_args.model_name_or_path, + model_max_length=training_args.max_length, + padding_side="right", + use_fast=True, + trust_remote_code=True + ) + + print("PAD Token:", tokenizer.pad_token, tokenizer.pad_token_id) + print("BOS Token", tokenizer.bos_token, tokenizer.bos_token_id) + print("EOS Token", tokenizer.eos_token, tokenizer.eos_token_id) + + if training_args.local_rank == 0: + print("Load tokenizer from {} over.".format(model_args.model_name_or_path)) + + + formatting_prompts_func_loc = partial(formatting_prompts_func,table_col_name=data_args.table_col_name) + if training_args.local_rank == 0: + print("Load model from {} over.".format(model_args.model_name_or_path)) + + + #raw_train_datasets = load_dataset( + # 'json', + # data_files=data_args.data_path, + # split="train", + # cache_dir=training_args.cache_dir + #) + dataset = load_from_disk(data_args.data_path) + raw_train_dataset = dataset.get('train',None) + raw_eval_dataset = dataset.get('val',None) +# 2. Магия маскирования промпта (заменяет твой сложный preprocess) +# Модель не будет учиться генерировать инструкцию, только то, что после "### Response:\n" + response_template = "### Response:\n" + collator = CustomCompletionOnlyCollator( + response_template=response_template, + tokenizer=tokenizer + ) + + + # 3. Конфиг LoRA (передаем напрямую в Trainer) + + # 4. Инициализация SFTTrainer + trainer = SFTTrainer( + model=None, + model_init=model_init_with_args, + args=training_args, # Твои аргументы с deepspeed="config.json" работают здесь идеально! + train_dataset=raw_train_dataset, # Передаешь СЫРОЙ датасет, без .map() + eval_dataset = raw_eval_dataset, + formatting_func=formatting_prompts_func_loc, # Функция, которая склеивает вопрос и ответ + data_collator=collator, # Тот самый умный коллатор + callbacks=[WandbLoggingCallback(project_name=model_args.expr_name, entity="ivan")] + ) + best_run = trainer.hyperparameter_search( + direction="minimize", # Что делать с метрикой (минимизировать loss) + backend="optuna", # Используемый бэкенд + hp_space=optuna_hp_space, # Наше пространство параметров + n_trials=80, # Количество экспериментов + compute_objective=lambda metrics: metrics["eval_loss"], # Какую метрику оптимизироватьб + pruner=optuna.pruners.MedianPruner(n_warmup_steps=2) + ) + + if training_args.local_rank == 0: + print("="*50) + print("Лучшие параметры найдены!") + print(best_run.hyperparameters) + print(f"Лучший eval_loss: {best_run.objective}") + + # 3. ЭКСПОРТ В WANDB: Создаем финальный "итоговый" запуск + wandb.init( + project=model_args.expr_name, + entity="ivan", + name="BEST_MODEL_SUMMARY", # Яркое, привлекающее внимание имя + tags=["best-run", "summary"], # Теги для удобного поиска в интерфейсе + config=best_run.hyperparameters # Передаем только лучшие параметры! + ) + + # Логируем итоговую метрику победителя + wandb.log({"best_eval_loss": best_run.objective}) + + # Закрываем итоговую сессию + wandb.finish() + +if __name__ == '__main__': + main() \ No newline at end of file From e587c99ecbc828d0e7260c2c71ebc274a8b49371 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 20:13:48 +0800 Subject: [PATCH 21/31] err correcting --- optimize.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/optimize.py b/optimize.py index dfddf17..0451d3a 100644 --- a/optimize.py +++ b/optimize.py @@ -279,7 +279,7 @@ def main(): # 4. Инициализация SFTTrainer trainer = SFTTrainer( model=None, - model_init=model_init_with_args, + model_init=model_init, args=training_args, # Твои аргументы с deepspeed="config.json" работают здесь идеально! train_dataset=raw_train_dataset, # Передаешь СЫРОЙ датасет, без .map() eval_dataset = raw_eval_dataset, From 790ff79e1f28dd127e2d3b9beaa78ce2202249d5 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Mon, 30 Mar 2026 20:33:49 +0800 Subject: [PATCH 22/31] change trl trainer to transformers trainer --- optimize.py | 55 +++++++++++++++++++++++++++++++++++++++++------------ 1 file changed, 43 insertions(+), 12 deletions(-) diff --git a/optimize.py b/optimize.py index 0451d3a..8207825 100644 --- a/optimize.py +++ b/optimize.py @@ -1,9 +1,8 @@ -from trl import SFTTrainer +from transformers import Trainer, TrainerCallback # Заменили SFTTrainer на Trainer from peft import LoraConfig,TaskType,get_peft_model import wandb import optuna # Start a new wandb run to track this script -from transformers import TrainerCallback import time from functools import partial @@ -222,6 +221,22 @@ def formatting_prompts_func(example,table_col_name=''): #return output_texts return build_instruction_prompt(example[table_col_name], example['statement'])+ f'"PANDA": {example["pandas_code"]}\n{EOT_TOKEN}' +def preprocess_dataset(examples, tokenizer, table_col_name, max_length): + batch_texts = [] + # Так как мы используем batched=True, examples содержит списки + for i in range(len(examples['statement'])): + prompt = build_instruction_prompt(examples[table_col_name][i], examples['statement'][i]) + response = f'"PANDA": {examples["pandas_code"][i]}\n{EOT_TOKEN}' + batch_texts.append(prompt + response) + + # Токенизируем склеенный текст + model_inputs = tokenizer( + batch_texts, + truncation=True, + max_length=max_length, + padding=False # Паддинг будет делать DataCollator динамически! + ) + return model_inputs def main(): @@ -249,12 +264,11 @@ def main(): if training_args.local_rank == 0: print("Load tokenizer from {} over.".format(model_args.model_name_or_path)) + formatting_prompts_func_loc = partial(formatting_prompts_func,table_col_name=data_args.table_col_name) - if training_args.local_rank == 0: - print("Load model from {} over.".format(model_args.model_name_or_path)) - + #raw_train_datasets = load_dataset( # 'json', @@ -272,19 +286,36 @@ def main(): response_template=response_template, tokenizer=tokenizer ) + preprocess_func_with_args = partial( + preprocess_dataset, + tokenizer=tokenizer, + table_col_name=data_args.table_col_name, + max_length=training_args.max_length + ) + if training_args.local_rank == 0: + tokenized_train_dataset = raw_train_dataset.map( + preprocess_func_with_args, + batched=True, + remove_columns=raw_train_dataset.column_names, + desc="Running tokenizer on train dataset" + ) + tokenized_eval_dataset = raw_eval_dataset.map( + preprocess_func_with_args, + batched=True, + remove_columns=raw_eval_dataset.column_names, + desc="Running tokenizer on eval dataset" + ) # 3. Конфиг LoRA (передаем напрямую в Trainer) - # 4. Инициализация SFTTrainer - trainer = SFTTrainer( + trainer = Trainer( # <-- Заменили SFTTrainer на Trainer model=None, model_init=model_init, - args=training_args, # Твои аргументы с deepspeed="config.json" работают здесь идеально! - train_dataset=raw_train_dataset, # Передаешь СЫРОЙ датасет, без .map() - eval_dataset = raw_eval_dataset, - formatting_func=formatting_prompts_func_loc, # Функция, которая склеивает вопрос и ответ - data_collator=collator, # Тот самый умный коллатор + args=training_args, + train_dataset=tokenized_train_dataset, # Передаем ТОКЕНИЗИРОВАННЫЙ датасет + eval_dataset=tokenized_eval_dataset, # Передаем ТОКЕНИЗИРОВАННЫЙ датасет + data_collator=collator, callbacks=[WandbLoggingCallback(project_name=model_args.expr_name, entity="ivan")] ) best_run = trainer.hyperparameter_search( From e636eb09933d71bde9c8e3698bcd0098eddf0ea5 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Thu, 2 Apr 2026 11:34:26 +0800 Subject: [PATCH 23/31] Add data filtering by max-model-len --- finetune.py | 30 ++++++++++++++++++++++++++---- 1 file changed, 26 insertions(+), 4 deletions(-) diff --git a/finetune.py b/finetune.py index 5e94287..93b9605 100644 --- a/finetune.py +++ b/finetune.py @@ -63,7 +63,7 @@ def build_instruction_prompt(table: str,query: str): {table} ### Query {query} -### Response: +### Response:\n """.format(table=table, query=query).lstrip() @dataclass @@ -78,6 +78,7 @@ class ModelArguments: class DataArguments: data_path: str = field(default=None, metadata={"help": "Path to the training data."}) table_col_name: str = field(default=None, metadata={"help": "Name column with table serialization."}) + num_proc: int = field(default=16, metadata={"help": "Num CPU process data"}) @dataclass @@ -174,7 +175,13 @@ def formatting_prompts_func(example,table_col_name=''): # output_texts.append(prompt + response) #return output_texts return build_instruction_prompt(example[table_col_name], example['statement'])+ f'"PANDA": {example["pandas_code"]}\n{EOT_TOKEN}' +def filter_long_examples(example): + full_text = formatting_prompts_func_loc(example) + tokenized = tokenizer(full_text, truncation=False, add_special_tokens=False) + return len(tokenized["input_ids"]) <= training_args.max_length + + run = None @@ -207,11 +214,12 @@ def main(): trust_remote_code=True ) - print("PAD Token:", tokenizer.pad_token, tokenizer.pad_token_id) - print("BOS Token", tokenizer.bos_token, tokenizer.bos_token_id) - print("EOS Token", tokenizer.eos_token, tokenizer.eos_token_id) + if training_args.local_rank == 0: + print("PAD Token:", tokenizer.pad_token, tokenizer.pad_token_id) + print("BOS Token", tokenizer.bos_token, tokenizer.bos_token_id) + print("EOS Token", tokenizer.eos_token, tokenizer.eos_token_id) print("Load tokenizer from {} over.".format(model_args.model_name_or_path)) model = transformers.AutoModelForCausalLM.from_pretrained( @@ -250,6 +258,20 @@ def main(): raw_eval_dataset = dataset.get('val',None) # 2. Магия маскирования промпта (заменяет твой сложный preprocess) # Модель не будет учиться генерировать инструкцию, только то, что после "### Response:\n" + if training_args.local_rank == 0: + print(f"Размер train ДО фильтрации: {len(raw_train_dataset)}") + print(f"Размер val ДО фильтрации: {len(raw_eval_dataset)}") + with training_args.main_process_first(desc="dataset filtering"): + if raw_train_dataset is not None: + raw_train_dataset = raw_train_dataset.filter(filter_long_examples, num_proc=data_args.num_proc) + if raw_eval_dataset is not None: + raw_eval_dataset = raw_eval_dataset.filter(filter_long_examples, num_proc=data_args.num_proc) + + # Выводим логи только на главном процессе, чтобы не дублировать текст в консоли + if training_args.local_rank == 0: + print(f"Размер train ПОСЛЕ фильтрации: {len(raw_train_dataset) if raw_train_dataset else 0}") + print(f"Размер val ПОСЛЕ фильтрации: {len(raw_eval_dataset) if raw_eval_dataset else 0}") + response_template = "### Response:\n" collator = CustomCompletionOnlyCollator( response_template=response_template, From 4d620f6cad9f9ca1526da0a15fcf5a79d428d66b Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Thu, 2 Apr 2026 11:51:41 +0800 Subject: [PATCH 24/31] Add early stopping --- finetune.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/finetune.py b/finetune.py index 93b9605..86fc640 100644 --- a/finetune.py +++ b/finetune.py @@ -3,7 +3,7 @@ import wandb # Start a new wandb run to track this script -from transformers import TrainerCallback +from transformers import TrainerCallback,EarlyStoppingCallback import time from functools import partial @@ -290,7 +290,7 @@ def main(): formatting_func=formatting_prompts_func_loc, # Функция, которая склеивает вопрос и ответ data_collator=collator, # Тот самый умный коллатор peft_config=peft_config, # SFTTrainer сам применит LoRA - callbacks=[WandbLoggingCallback()] + callbacks=[WandbLoggingCallback(),EarlyStoppingCallback(early_stopping_patience=3)] ) # 5. Запуск From d6c8000a988af3d30e82a655f571365e16acb078 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Thu, 2 Apr 2026 12:02:57 +0800 Subject: [PATCH 25/31] correct err --- finetune.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/finetune.py b/finetune.py index 86fc640..22a37d0 100644 --- a/finetune.py +++ b/finetune.py @@ -78,7 +78,7 @@ class ModelArguments: class DataArguments: data_path: str = field(default=None, metadata={"help": "Path to the training data."}) table_col_name: str = field(default=None, metadata={"help": "Name column with table serialization."}) - num_proc: int = field(default=16, metadata={"help": "Num CPU process data"}) + num_proc_data: int = field(default=16, metadata={"help": "Num CPU process data"}) @dataclass @@ -263,9 +263,9 @@ def main(): print(f"Размер val ДО фильтрации: {len(raw_eval_dataset)}") with training_args.main_process_first(desc="dataset filtering"): if raw_train_dataset is not None: - raw_train_dataset = raw_train_dataset.filter(filter_long_examples, num_proc=data_args.num_proc) + raw_train_dataset = raw_train_dataset.filter(filter_long_examples, num_proc=data_args.num_proc_data) if raw_eval_dataset is not None: - raw_eval_dataset = raw_eval_dataset.filter(filter_long_examples, num_proc=data_args.num_proc) + raw_eval_dataset = raw_eval_dataset.filter(filter_long_examples, num_proc=data_args.num_proc_data) # Выводим логи только на главном процессе, чтобы не дублировать текст в консоли if training_args.local_rank == 0: From 117e66a711790fe71be1086a8abf63022e5b5e77 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Thu, 2 Apr 2026 12:11:58 +0800 Subject: [PATCH 26/31] correct err --- finetune.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/finetune.py b/finetune.py index 22a37d0..6df3389 100644 --- a/finetune.py +++ b/finetune.py @@ -175,8 +175,8 @@ def formatting_prompts_func(example,table_col_name=''): # output_texts.append(prompt + response) #return output_texts return build_instruction_prompt(example[table_col_name], example['statement'])+ f'"PANDA": {example["pandas_code"]}\n{EOT_TOKEN}' -def filter_long_examples(example): - full_text = formatting_prompts_func_loc(example) +def filter_long_examples(example,format_func = None): + full_text = format_func(example) tokenized = tokenizer(full_text, truncation=False, add_special_tokens=False) return len(tokenized["input_ids"]) <= training_args.max_length @@ -243,6 +243,7 @@ def main(): ], ) formatting_prompts_func_loc = partial(formatting_prompts_func,table_col_name=data_args.table_col_name) + filter_long_examples_loc = partial(filter_long_examples,format_func=formatting_prompts_func_loc) if training_args.local_rank == 0: print("Load model from {} over.".format(model_args.model_name_or_path)) @@ -263,9 +264,9 @@ def main(): print(f"Размер val ДО фильтрации: {len(raw_eval_dataset)}") with training_args.main_process_first(desc="dataset filtering"): if raw_train_dataset is not None: - raw_train_dataset = raw_train_dataset.filter(filter_long_examples, num_proc=data_args.num_proc_data) + raw_train_dataset = raw_train_dataset.filter(filter_long_examples_loc, num_proc=data_args.num_proc_data) if raw_eval_dataset is not None: - raw_eval_dataset = raw_eval_dataset.filter(filter_long_examples, num_proc=data_args.num_proc_data) + raw_eval_dataset = raw_eval_dataset.filter(filter_long_examples_loc, num_proc=data_args.num_proc) # Выводим логи только на главном процессе, чтобы не дублировать текст в консоли if training_args.local_rank == 0: From 13a3e6c3b1ddaf28f49f788083e4ae934ab7d9fb Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Thu, 2 Apr 2026 12:16:10 +0800 Subject: [PATCH 27/31] correct err --- finetune.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/finetune.py b/finetune.py index 6df3389..e2252d3 100644 --- a/finetune.py +++ b/finetune.py @@ -175,7 +175,7 @@ def formatting_prompts_func(example,table_col_name=''): # output_texts.append(prompt + response) #return output_texts return build_instruction_prompt(example[table_col_name], example['statement'])+ f'"PANDA": {example["pandas_code"]}\n{EOT_TOKEN}' -def filter_long_examples(example,format_func = None): +def filter_long_examples(example,format_func = None,tokenizer=None): full_text = format_func(example) tokenized = tokenizer(full_text, truncation=False, add_special_tokens=False) return len(tokenized["input_ids"]) <= training_args.max_length @@ -243,7 +243,7 @@ def main(): ], ) formatting_prompts_func_loc = partial(formatting_prompts_func,table_col_name=data_args.table_col_name) - filter_long_examples_loc = partial(filter_long_examples,format_func=formatting_prompts_func_loc) + filter_long_examples_loc = partial(filter_long_examples,format_func=formatting_prompts_func_loc,tokenizer=tokenizer) if training_args.local_rank == 0: print("Load model from {} over.".format(model_args.model_name_or_path)) From 1fa8962a9667d5b737ea4fb80c7b7b6a62a5ff09 Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Thu, 2 Apr 2026 12:18:38 +0800 Subject: [PATCH 28/31] correct err --- finetune.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/finetune.py b/finetune.py index e2252d3..56b8047 100644 --- a/finetune.py +++ b/finetune.py @@ -178,7 +178,7 @@ def formatting_prompts_func(example,table_col_name=''): def filter_long_examples(example,format_func = None,tokenizer=None): full_text = format_func(example) tokenized = tokenizer(full_text, truncation=False, add_special_tokens=False) - return len(tokenized["input_ids"]) <= training_args.max_length + return len(tokenized["input_ids"]) <= tokenizer.model_max_length From 8b14be7e9771cda46ff231a88526b1ada613a1dd Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Thu, 2 Apr 2026 12:20:02 +0800 Subject: [PATCH 29/31] correct err --- finetune.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/finetune.py b/finetune.py index 56b8047..e41d08c 100644 --- a/finetune.py +++ b/finetune.py @@ -266,7 +266,7 @@ def main(): if raw_train_dataset is not None: raw_train_dataset = raw_train_dataset.filter(filter_long_examples_loc, num_proc=data_args.num_proc_data) if raw_eval_dataset is not None: - raw_eval_dataset = raw_eval_dataset.filter(filter_long_examples_loc, num_proc=data_args.num_proc) + raw_eval_dataset = raw_eval_dataset.filter(filter_long_examples_loc, num_proc=data_args.num_proc_data) # Выводим логи только на главном процессе, чтобы не дублировать текст в консоли if training_args.local_rank == 0: From fb954cb7ca679effe1fb78c5369050da691a25cb Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Thu, 4 Jun 2026 10:33:26 +0800 Subject: [PATCH 30/31] sommthing else --- finetune.py | 1 + peft_finetune.py | 213 + tests/ablation_experiments.py | 4 +- tests/ablation_experiments_local_model.py | 310 + tests/ablation_experiments_local_model_wtq.py | 325 + tests/add_column_defenition.py | 230 + tests/add_to_tabfact_serialize_table.py | 26 +- tests/convert_tabfact_to_xml_format.py | 66 + tests/correctin_failrun_data.py | 242 + tests/correctin_failrun_data_modify.py | 249 + tests/correctin_failrun_data_only.py | 207 + tests/deep_seek_zero_shot_test.ipynb | 23552 +++++++++++----- ...panTabFact_zeroshot_deepseek_test-Copy1.py | 137 + tests/pan_tab_fact_format_tests.ipynb | 12173 +++++++- tests/study_error.py | 223 + tests/summaries_err_descr.py | 238 + tests/wtq_tests.ipynb | 489 + tests/zeroshot_deepseek_test.py | 145 + utils/defgen/defgen.py | 16 +- utils/utils.py | 2 +- 20 files changed, 30805 insertions(+), 8043 deletions(-) create mode 100644 peft_finetune.py create mode 100644 tests/ablation_experiments_local_model.py create mode 100644 tests/ablation_experiments_local_model_wtq.py create mode 100644 tests/add_column_defenition.py create mode 100644 tests/convert_tabfact_to_xml_format.py create mode 100644 tests/correctin_failrun_data.py create mode 100644 tests/correctin_failrun_data_modify.py create mode 100644 tests/correctin_failrun_data_only.py create mode 100644 tests/panTabFact_zeroshot_deepseek_test-Copy1.py create mode 100644 tests/study_error.py create mode 100644 tests/summaries_err_descr.py create mode 100644 tests/wtq_tests.ipynb create mode 100644 tests/zeroshot_deepseek_test.py diff --git a/finetune.py b/finetune.py index e41d08c..5bdd34f 100644 --- a/finetune.py +++ b/finetune.py @@ -1,3 +1,4 @@ + from trl import SFTTrainer from peft import LoraConfig,TaskType import wandb diff --git a/peft_finetune.py b/peft_finetune.py new file mode 100644 index 0000000..f416ee7 --- /dev/null +++ b/peft_finetune.py @@ -0,0 +1,213 @@ +import torch +from typing import Any, Dict, List, Union +from transformers import DataCollatorForLanguageModeling +from transformers import TrainerCallback +import time +from trl import SFTTrainer +from peft import LoraConfig,TaskType +import wandb + +class CustomCompletionOnlyCollator(DataCollatorForLanguageModeling): + def __init__(self, response_template: str, tokenizer, *args, **kwargs): + # Обязательно выключаем Masked Language Modeling (mlm=False), так как у нас Causal LM + super().__init__(tokenizer=tokenizer, mlm=False, *args, **kwargs) + # Токенизируем шаблон ответа (без спецтокенов, чтобы избежать конфликтов с BOS) + self.response_template_ids = tokenizer.encode(response_template, add_special_tokens=False) + + def torch_call(self, examples: List[Union[List[int], Any, Dict[str, Any]]]) -> Dict[str, Any]: + # Стандартный коллатор соберет батч и создаст input_ids и labels + batch = super().torch_call(examples) + labels = batch["labels"].clone() + + for i in range(len(labels)): + label_list = labels[i].tolist() + template_len = len(self.response_template_ids) + match_idx = -1 + + # Ищем подпоследовательность токенов шаблона ответа + for j in range(len(label_list) - template_len + 1): + if label_list[j : j + template_len] == self.response_template_ids: + match_idx = j + template_len + break + + if match_idx != -1: + # Маскируем всё ДО конца шаблона (заменяем на -100) + labels[i, :match_idx] = -100 + else: + # Если шаблон почему-то не найден в тексте, маскируем всё, + # чтобы модель не училась на неверно размеченных данных + labels[i, :] = -100 + + batch["labels"] = labels + return batch + + +class WandbLoggingCallback(TrainerCallback): + # 2. Вызывается в начале обучения + def on_train_begin(self, args, state, control, **kwargs): + + if state.is_world_process_zero: + print("Обучение начинается") + # Здесь логируются train_loss, learning_rate и т.д. + run.log({"start_train": time.time()}) + + + + # 6. Вызывается после каждого логирования (по logging_steps) + def on_log(self, args, state, control, logs=None, **kwargs): + if state.is_world_process_zero: + # Здесь логируются train_loss, learning_rate и т.д. + run.log({'train_time':time.time(),**logs}) + print(f"Логирование на шаге {state.global_step}: {logs}") + # Здесь можно отправить метрики в wandb + + # 7. Вызывается после каждой валидации (по eval_steps) + def on_evaluate(self, args, state, control, metrics=None, **kwargs): + if state.is_world_process_zero: + # Здесь логируются train_loss, learning_rate и т.д. + run.log({'eval_time':time.time(),**metrics}) + print(f"Валидация на шаге {state.global_step}: {metrics}") + # Здесь можно обработать метрики валидации + + # 10. Вызывается в конце обучения + def on_train_end(self, args, state, control, **kwargs): + if state.is_world_process_zero: + # Здесь логируются train_loss, learning_rate и т.д. + run.log({"End_train": time.time()}) + print("Обучение закончено") + # 11. Вызывается в конце (для очистки ресурсов) + + +# Start a new wandb run to track this script + + + +# 1. Твоя функция подготовки промпта (немного адаптирован под батчи) +def formatting_prompts_func(example,table_col_name=''): + output_texts = [] + # Важно: example содержит списки, так как SFTTrainer передает батчи + for i in range(len(example['statement'])): + prompt = build_instruction_prompt(example[table_col_name][i], example['statement'][i]) + response = f'"PANDA": {example["pandas_code"][i]}\n{EOT_TOKEN}' + output_texts.append(prompt + response) + return output_texts + + + +run = None + +def main(): + parser = transformers.HfArgumentParser((ModelArguments, DataArguments, TrainingArguments)) + model_args, data_args, training_args = parser.parse_args_into_dataclasses() + global run + run = wandb.init( + # Set the wandb entity where your project will be logged (generally your team name). + entity="ivan", + # Set the wandb project where this run will be logged. + project=model_args.run_name, + # Track hyperparameters and run metadata. + config={ + **model_args, + **data_args, + **data_args + }, +) + if training_args.local_rank == 0: + print('='*100) + print(training_args) + + tokenizer = transformers.AutoTokenizer.from_pretrained( + model_args.model_name_or_path, + model_max_length=training_args.model_max_length, + padding_side="right", + use_fast=True, + trust_remote_code=True + ) + + print("PAD Token:", tokenizer.pad_token, tokenizer.pad_token_id) + print("BOS Token", tokenizer.bos_token, tokenizer.bos_token_id) + print("EOS Token", tokenizer.eos_token, tokenizer.eos_token_id) + + if training_args.local_rank == 0: + print("Load tokenizer from {} over.".format(model_args.model_name_or_path)) + + model = transformers.AutoModelForCausalLM.from_pretrained( + model_args.model_name_or_path, + torch_dtype=torch.bfloat16 + ) + peft_config = LoraConfig( + task_type=TaskType.CAUSAL_LM, # Тип задачи + r=16, # Ранг матрицы (низкая размерность) + lora_alpha=32, # Масштабирующий коэффициент (обычно 2x от r) + lora_dropout=0.05, # Dropout для регуляризации + bias="none", # Обычно bias не обучают + target_modules=[ # Куда встраиваем матрицы + "q_proj", + "k_proj", + "v_proj", + "o_proj", + "gate_proj", + "up_proj", + "down_proj" + ], + ) + if training_args.local_rank == 0: + print("Load model from {} over.".format(model_args.model_name_or_path)) + + + #raw_train_datasets = load_dataset( + # 'json', + # data_files=data_args.data_path, + # split="train", + # cache_dir=training_args.cache_dir + #) + dataset = load_from_disk(data_path) + raw_train_datasets = dataset.get('train',None) + raw_val_dataset = dataset.get('val',None) +# 2. Магия маскирования промпта (заменяет твой сложный preprocess) +# Модель не будет учиться генерировать инструкцию, только то, что после "### Response:\n" + response_template = "### Response:\n" + collator = CustomCompletionOnlyCollator( + response_template=response_template, + tokenizer=tokenizer + ) + + + # 3. Конфиг LoRA (передаем напрямую в Trainer) + peft_config = LoraConfig( + task_type=TaskType.CAUSAL_LM, # Тип задачи + r=16, # Ранг матрицы (низкая размерность) + lora_alpha=32, # Масштабирующий коэффициент (обычно 2x от r) + lora_dropout=0.05, # Dropout для регуляризации + bias="none", # Обычно bias не обучают + target_modules=[ # Куда встраиваем матрицы + "q_proj", + "k_proj", + "v_proj", + "o_proj", + "gate_proj", + "up_proj", + "down_proj" + ], + ) + # 4. Инициализация SFTTrainer + trainer = SFTTrainer( + model=model, # Передаешь чистую загруженную модель (БЕЗ get_peft_model) + args=training_args, # Твои аргументы с deepspeed="config.json" работают здесь идеально! + train_dataset=raw_train_dataset, # Передаешь СЫРОЙ датасет, без .map() + eval_dataset = raw_eval_dataset, + formatting_func=formatting_prompts_func, # Функция, которая склеивает вопрос и ответ + data_collator=collator, # Тот самый умный коллатор + max_seq_length=training_args.model_max_length, # SFTTrainer сам обрежет длинные тексты + peft_config=peft_config, # SFTTrainer сам применит LoRA + callbacks=[WandbLoggingCallback()] + ) + + # 5. Запуск + trainer.train() + trainer.save_state() + trainer.save_model(training_args.output_dir) + run.finish() + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/tests/ablation_experiments.py b/tests/ablation_experiments.py index 1a1afa1..42f97a5 100644 --- a/tests/ablation_experiments.py +++ b/tests/ablation_experiments.py @@ -43,7 +43,7 @@ ''' -def send_message(message,max_tokens=500,top_p=0.9,temperature=0.5,server_url="http://127.0.0.1:8800/v1",api_key="dummy", +def send_message(message,max_tokens=500,top_p=0.9,temperature=0.5,server_url="http://127.0.0.1:9092/v1",api_key="dummy", model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',system_prompt='', stop = ["Observation:","\n\n\n\n","\n \n \n"]): client = OpenAI(base_url=server_url, api_key=api_key) model_input = [ @@ -117,7 +117,7 @@ def parse_panda_code(input_string): def correct_code(df, input_data, code_str, error_str, iter_id=0, system_correcting_prompt='', stop=["Observation:", "\n\n\n\n", "\n \n \n"], max_tokens=500, top_p=0.9, temperature=0.5, - server_url="http://127.0.0.1:8800/v1", api_key="dummy", + server_url="http://127.0.0.1:9092/v1", api_key="dummy", model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5', max_iter=5,add_df_info=False): """ Рекурсивно исправляет код с использованием LLM diff --git a/tests/ablation_experiments_local_model.py b/tests/ablation_experiments_local_model.py new file mode 100644 index 0000000..334b6b4 --- /dev/null +++ b/tests/ablation_experiments_local_model.py @@ -0,0 +1,310 @@ + +# Добавляем корневую директорию проекта в sys.path +import argparse +from functools import partial +from datasets import load_from_disk +from openai import OpenAI +import sys +import os +import json +import pandas as pd +from io import StringIO +from tqdm import tqdm +import re +import time +import traceback +import shutil +import torch +from transformers import AutoModelForCausalLM, AutoTokenizer +from peft import PeftModel +# Добавляем корневую директорию проекта в sys.path +sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests'))) + +from utils.utils import load_config + + +system_prompt = ''' +### Instruction: +You are a Python expert specializing in pandas. Your task is to translate the +given natural language query into a single-line pandas expression. This +expression must be valid and executable to verify the truth of the statement +using the provided table. Consider the following: +1. The table schema is represented in XML format. +2. The table is represented as a pandas DataFrame named df. +3. Do not include explanations, comments, or multiline outputs. +4. Ensure the output is concise, correct, and when run outputs either True or +False, and strictly in the following Json Format with a single key "PANDA": +"PANDA": "" + +### Table schema +{table} +### Query +{query} +### Response:\n +''' + +system_correcting_prompt = ''' +You are a Python expert specializing in pandas. Your task is to correct a pandas code that translates a given natural language query into a pandas expression. The input table schema,query, code, along with the specific error it contains, is provided. +Your corrected pandas_code must be valid and executable by running the code +snippet str(bool(eval(pandas_code))) ensuring it accurately evaluates the truth +of the statement using the provided table with no errors. +Make sure the pandas_code is of type boolean. Consider the following: +1. The table schema is represented in XML format. +2. The table is represented as a pandas DataFrame named df. +3. Do not include explanations, comments, or multiline outputs. +4. Ensure the output is concise, correct, and when run outputs either True or +False, and strictly in the following Json Format with a single key "CORRECT PANDA": +"CORRECT PANDA": "" + +### Table schema +{table} +### Query +{query} +### CODE +{code_str} +### ERROR +{error_str} +### Response:\n +''' + + +def send_message(message,max_tokens=500,top_p=0.9,temperature=0.5,server_url="http://127.0.0.1:9092/v1",api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5', stop = ["Observation:","\n\n\n\n","\n \n \n"]): + client = OpenAI(base_url=server_url, api_key=api_key) + model_input = [ + #{ 'role': 'system', 'content': system_prompt}, + { 'role': 'user', 'content': message} + ] + try: + print(f"Generating content with model: {model_name}",) + + response = client.chat.completions.create( + model=model_name, + messages=model_input, + temperature=temperature, + max_tokens=max_tokens, + top_p=top_p, + stop = stop + ) + + return True, response.choices[0].message.content + + except Exception as e: + print("Failed to call LLM: " + str(e)) + print(message) + time.sleep(6) + if hasattr(e, 'response'): + error_info = e.response.json() + code_value = error_info['error']['code'] + else: + code_value = "context_length_exceeded" + print("Retrying ...") + return False, None + +def parse_panda_code(input_string): + """ + Парсит строку и извлекает код, который находится внутри конструкции "PANDA": <код> + Поддерживает различные форматы: JSON, простой текст, Markdown + + Args: + input_string (str): Входная строка для парсинга + + Returns: + str: Извлеченный код или пустая строка, если код не найден + """ + # Сначала попробуем найти JSON объект с PANDA + json_pattern = r'\{[^{}]*(?:CORRECT PANDA|PANDA)":\s*(.+?)(?:\n|$)?\}' + json_match = re.search(json_pattern, input_string, re.DOTALL) + code = None + pattern = r'"(?:CORRECT PANDA|PANDA)":\s*(.+?)(?:\n|$)' + if json_match: + code = json_match.group(1).strip() + else: + match = re.search(pattern, input_string, re.DOTALL) + if match: + # Извлекаем код и убираем лишние пробелы по краям + code = match.group(1).strip() + # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON + + # Если JSON не найден или не распарсился, используем старый метод + # Паттерн для поиска кода после "PANDA": + # Ищет "PANDA": за которым следует пробел, затем код до конца строки или до следующего символа + if code != None: + # Убираем возможные кавычки вокруг кода + if code.startswith('"') and code.endswith('"'): + code = code[1:-1] + elif code.startswith("'") and code.endswith("'"): + code = code[1:-1] + + return code + + return "" + +def correct_code(df, table,query, code_str, error_str, iter_id=0, system_correcting_prompt='', + stop=["Observation:", "\n\n\n\n", "\n \n \n"], + max_tokens=500, top_p=0.9, temperature=0.5, + server_url="http://127.0.0.1:9092/v1", api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5', max_iter=5,add_df_info=False): + """ + Рекурсивно исправляет код с использованием LLM + """ + if iter_id < max_iter: + if add_df_info : + df_info = df.dtypes.to_string() + df_info = f'DATAFRAME TABLE TYPES: {df_info}\n' + else: + df_info = '' + # Формируем запрос на исправление + prompt = system_correcting_prompt.format(table=table, query=query,code_str=code_str,error_str=error_str).lstrip() + success, response = send_message( + prompt, + stop=stop, + max_tokens=max_tokens, + top_p=top_p, + temperature=temperature, + server_url=server_url, + api_key=api_key, + model_name=model_name) + + if success: + code = parse_panda_code(response) + if not code: # Если не удалось извлечь код + print(f"Iteration {iter_id}: Failed to parse code from response",f"text: {response}") + return correct_code(df, table,query, code_str, error_str, iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter,add_df_info=add_df_info) + + try: + # Пробуем выполнить исправленный код + pandas_eval = str(bool(eval(code))) + print(f"Iteration {iter_id}: Code corrected successfully") + return True, code, response,None + except Exception as e: + print(f"Iteration {iter_id}: Code execution failed with error: {e}") + # Рекурсивно пытаемся исправить новый код + return correct_code(df, table,query, code, f'{type(e).__name__}: {e}', iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter,add_df_info=add_df_info) + else: + print(f'Iteration {iter_id}: LLM call failed') + # Если не удалось вызвать LLM, пробуем снова с теми же данными + return correct_code(df, table,query, code_str, error_str, iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter,add_df_info=add_df_info) + else: + print(f'Max iterations ({max_iter}) reached without successful correction') + return False, code_str, None,error_str + + +def dataset_processing(entry,serialized_table_field=None,system_correcting_prompt='',system_prompt='',add_df_info=False,**kwargs): + df = pd.read_csv(StringIO(entry['table_text']), delimiter='#') + for col in df.columns: + try: + df[col] = pd.to_numeric(df[col]) + except ValueError: + # Если возникает ошибка, оставляем столбец как есть + continue + #query = entry[f"{query_field}_query"] + #query = entry['statement']+ ' ' + serialize_table(df,serialization_type='space') + query = system_prompt.format(table=entry[serialized_table_field], query=entry['statement']).lstrip() + success,response = send_message(query,model_name=kwargs.get('model_name','deepseek-ai/deepseek-coder-7b-instruct-v1.5'), + server_url=kwargs.get('server_url',"http://127.0.0.1:9092/v1"),max_tokens = None) + + + entry[f'{serialized_table_field}_answ'] = 'None' + entry[f'{serialized_table_field}_label'] = 'None' + entry[f'{serialized_table_field}_answ_correct'] = 'None' + entry[f'{serialized_table_field}_last_err'] = 'None' + + + if success: + entry[f'{serialized_table_field}_answ'] = response + try: + code = parse_panda_code(response) + try: + + pandas_eval = str(bool(eval(code))) + entry[f'{serialized_table_field}_label'] = str(pandas_eval) + except Exception as e: + print('EEEERRRRRRR', entry['id']) + print(e) + success_correcting, new_code, correcting_response,last_err = correct_code(df,entry[serialized_table_field], + entry['statement'], + code,f'{type(e).__name__}: {e}', + system_correcting_prompt=system_correcting_prompt,add_df_info=add_df_info, + model_name=kwargs.get('model_name','deepseek-ai/deepseek-coder-7b-instruct-v1.5'), + server_url=kwargs.get('server_url',"http://127.0.0.1:9092/v1")) + if success_correcting: + pandas_eval = str(bool(eval(new_code))) + entry[f'{serialized_table_field}_label'] = str(pandas_eval) + entry[f'{serialized_table_field}_answ_correct'] = correcting_response + else: + entry[f'{serialized_table_field}_last_err'] = str(last_err) + + + except Exception as e: + print (e) + + return entry + + + + +def main(): + parser = argparse.ArgumentParser(description='Скрипт с настраиваемыми параметрами') + parser.add_argument('--inputdata', type=str, default='./answer_gen_nlsep_none_filtered_new_dataset') + parser.add_argument('--outputdata', type=str, default='./answer_gen_nlsep_none_filtered_new_dataset_failran_clear') + parser.add_argument('--num_proc', type=int, default=16, + help='Количество процессов') + parser.add_argument('--conf-file', type=str, default='./convert_conf.yaml') + #parser.add_argument('--add-df-info', type=int, default=0, help='Добавлять ли доп инфо о типах и столбцах df') + + args = parser.parse_args() + + inputdata = args.inputdata + outputdata = args.outputdata + NUM_PROC = args.num_proc + #add_df_info = bool(args.add_df_info) + conf_file = args.conf_file + print(f"inputdata: {inputdata}") + print(f"outputdata: {outputdata}") + print(f"num-proc: {NUM_PROC}") + print(f"conf-file: {conf_file}") + + config_data = load_config(conf_file) + dataset = load_from_disk(inputdata) + previous_checkpoint_dir = None + + for config_name in config_data.keys(): + config = config_data[config_name] + print(config_name) + print(config) + dataset = dataset.map(partial(dataset_processing,serialized_table_field=config_name, + system_correcting_prompt=system_correcting_prompt, + system_prompt=system_prompt,**config),num_proc=NUM_PROC) + #if inputdata == outputdata: + # shutil.rmtree(inputdata) + current_checkpoint_dir = f"{outputdata}_temp_ckpt_{config_name}" + dataset.save_to_disk(current_checkpoint_dir) + if previous_checkpoint_dir and os.path.exists(previous_checkpoint_dir): + print(f"Removing previous checkpoint: {previous_checkpoint_dir}") + shutil.rmtree(previous_checkpoint_dir) + + # 4. Обновляем ссылку на предыдущий чекпоинт для следующей итерации + previous_checkpoint_dir = current_checkpoint_dir + if previous_checkpoint_dir and os.path.exists(previous_checkpoint_dir): + # Если целевая папка уже существует, удаляем ее во избежание конфликта + if os.path.exists(outputdata): + shutil.rmtree(outputdata) + + os.rename(previous_checkpoint_dir, outputdata) + print(f"\nSuccess! Final dataset saved to: {outputdata}") + +if __name__ == "__main__": + #python ablation_experiments_local_model.py --inputdata tab_fact_test_semtab_xml_ablation --outputdata tab_fact_test_semtab_xml_ablation_lora --conf-file semtab_xml_config_answer_lora.yaml --num_proc 16 &> tab_fact_test_xml_ablation_lora_log.txt + main() + +# features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50'], \ No newline at end of file diff --git a/tests/ablation_experiments_local_model_wtq.py b/tests/ablation_experiments_local_model_wtq.py new file mode 100644 index 0000000..4bb2115 --- /dev/null +++ b/tests/ablation_experiments_local_model_wtq.py @@ -0,0 +1,325 @@ + +# Добавляем корневую директорию проекта в sys.path +import argparse +from functools import partial +from datasets import load_from_disk +from openai import OpenAI +import sys +import os +import json +import pandas as pd +from io import StringIO +from tqdm import tqdm +import re +import time +import traceback +import shutil +import torch +from transformers import AutoModelForCausalLM, AutoTokenizer +from peft import PeftModel +import numpy as np +''' +python ablation_experiments_local_model_wtq.py --inputdata WTQ_test_xml --outputdata wtq_test_xml_baseline --conf-file semtab_xml_config_wtq_baseline.yaml --num_proc 32 &> wtq_test_xml_baseline_log.txt + +''' +# Добавляем корневую директорию проекта в sys.path +sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests'))) + +from utils.utils import load_config + +def convert_type(x): + return x + +def find_word(x): + return x +system_prompt = ''' +### Instruction: +You are a Python expert specializing in pandas. Your task is to translate the +given natural language query into a single-line pandas expression. This +# expression must be valid and executable to get answer on the question using the provided table. Consider the following: +1. The table schema is represented in XML format. +2. The table is represented as a pandas DataFrame named df. +3. Do not include explanations, comments, or multiline outputs. +4. Ensure the output is concise, correct, and strictly in the following Json Format with a single key "PANDA": +"PANDA": "" + +### Table schema +{table} +### Query +{query} +### Response:\n +''' + +system_correcting_prompt = ''' +You are a Python expert specializing in pandas. Your task is to correct a pandas code that translates a given natural language query into a pandas expression. The input table schema,query, code, along with the specific error it contains, is provided. +Your corrected pandas_code must be valid and executable by running the code +snippet eval(pandas_code) ensuring it accurately evaluates the answer using the provided table with no errors. Consider the following: +1. The table schema is represented in XML format. +2. The table is represented as a pandas DataFrame named df. +3. Do not include explanations, comments, or multiline outputs. +4. Ensure the output is concise, correct, and strictly in the following Json Format with a single key "PANDA": +"PANDA": "" + +### Table schema +{table} +### Query +{query} +### CODE +{code_str} +### ERROR +{error_str} +### Response:\n +''' + + + +def run_code_and_get_result(code_str, df): + """Выполняет код на нормализованной таблице и возвращает (результат, ошибка)""" + result = eval(code_str, { + 'df': df, + 'pd': pd, + 'np': np, + 'convert_type': convert_type, + 'find_word': find_word + }) + return result +def send_message(message,max_tokens=500,top_p=0.9,temperature=0.5,server_url="http://127.0.0.1:9092/v1",api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5', stop = ["Observation:","\n\n\n\n","\n \n \n"]): + client = OpenAI(base_url=server_url, api_key=api_key) + model_input = [ + #{ 'role': 'system', 'content': system_prompt}, + { 'role': 'user', 'content': message} + ] + try: + print(f"Generating content with model: {model_name}",) + + response = client.chat.completions.create( + model=model_name, + messages=model_input, + temperature=temperature, + max_tokens=max_tokens, + top_p=top_p, + stop = stop + ) + + return True, response.choices[0].message.content + + except Exception as e: + print("Failed to call LLM: " + str(e)) + print(message) + time.sleep(6) + if hasattr(e, 'response'): + error_info = e.response.json() + code_value = error_info['error']['code'] + else: + code_value = "context_length_exceeded" + print("Retrying ...") + return False, None + +def parse_panda_code(input_string): + """ + Парсит строку и извлекает код, который находится внутри конструкции "PANDA": <код> + Поддерживает различные форматы: JSON, простой текст, Markdown + + Args: + input_string (str): Входная строка для парсинга + + Returns: + str: Извлеченный код или пустая строка, если код не найден + """ + # Сначала попробуем найти JSON объект с PANDA + json_pattern = r'\{[^{}]*(?:CORRECT PANDA|PANDA)":\s*(.+?)(?:\n|$)?\}' + json_match = re.search(json_pattern, input_string, re.DOTALL) + code = None + pattern = r'"(?:CORRECT PANDA|PANDA)":\s*(.+?)(?:\n|$)' + if json_match: + code = json_match.group(1).strip() + else: + match = re.search(pattern, input_string, re.DOTALL) + if match: + # Извлекаем код и убираем лишние пробелы по краям + code = match.group(1).strip() + # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON + + # Если JSON не найден или не распарсился, используем старый метод + # Паттерн для поиска кода после "PANDA": + # Ищет "PANDA": за которым следует пробел, затем код до конца строки или до следующего символа + if code != None: + # Убираем возможные кавычки вокруг кода + if code.startswith('"') and code.endswith('"'): + code = code[1:-1] + elif code.startswith("'") and code.endswith("'"): + code = code[1:-1] + + return code + + return "" + +def correct_code(df, table,query, code_str, error_str, iter_id=0, system_correcting_prompt='', + stop=["Observation:", "\n\n\n\n", "\n \n \n"], + max_tokens=500, top_p=0.9, temperature=0.5, + server_url="http://127.0.0.1:9092/v1", api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5', max_iter=5,add_df_info=False): + """ + Рекурсивно исправляет код с использованием LLM + """ + if iter_id < max_iter: + if add_df_info : + df_info = df.dtypes.to_string() + df_info = f'DATAFRAME TABLE TYPES: {df_info}\n' + else: + df_info = '' + # Формируем запрос на исправление + prompt = system_correcting_prompt.format(table=table, query=query,code_str=code_str,error_str=error_str).lstrip() + success, response = send_message( + prompt, + stop=stop, + max_tokens=max_tokens, + top_p=top_p, + temperature=temperature, + server_url=server_url, + api_key=api_key, + model_name=model_name) + + if success: + code = parse_panda_code(response) + if not code: # Если не удалось извлечь код + print(f"Iteration {iter_id}: Failed to parse code from response",f"text: {response}") + return correct_code(df, table,query, code_str, error_str, iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter,add_df_info=add_df_info) + + try: + # Пробуем выполнить исправленный код + pandas_eval = run_code_and_get_result(code,df) + print(f"Iteration {iter_id}: Code corrected successfully") + return True, code, response,None + except Exception as e: + print(f"Iteration {iter_id}: Code execution failed with error: {e}") + # Рекурсивно пытаемся исправить новый код + return correct_code(df, table,query, code, f'{type(e).__name__}: {e}', iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter,add_df_info=add_df_info) + else: + print(f'Iteration {iter_id}: LLM call failed') + # Если не удалось вызвать LLM, пробуем снова с теми же данными + return correct_code(df, table,query, code_str, error_str, iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter,add_df_info=add_df_info) + else: + print(f'Max iterations ({max_iter}) reached without successful correction') + return False, code_str, None,error_str + + +def dataset_processing(entry,serialized_table_field=None,system_correcting_prompt='',system_prompt='',add_df_info=False,**kwargs): + df = pd.read_csv(StringIO(entry['table_text']), delimiter='#') + for col in df.columns: + try: + df[col] = pd.to_numeric(df[col]) + except ValueError: + # Если возникает ошибка, оставляем столбец как есть + continue + #query = entry[f"{query_field}_query"] + #query = entry['statement']+ ' ' + serialize_table(df,serialization_type='space') + query = system_prompt.format(table=entry[serialized_table_field], query=entry['statement']).lstrip() + success,response = send_message(query,model_name=kwargs.get('model_name','deepseek-ai/deepseek-coder-7b-instruct-v1.5'), + server_url=kwargs.get('server_url',"http://127.0.0.1:9092/v1"),max_tokens = None) + + + entry[f'{serialized_table_field}_answ'] = 'None' + entry[f'{serialized_table_field}_label'] = 'None' + entry[f'{serialized_table_field}_answ_correct'] = 'None' + entry[f'{serialized_table_field}_last_err'] = 'None' + + + if success: + entry[f'{serialized_table_field}_answ'] = response + try: + code = parse_panda_code(response) + try: + + pandas_eval = run_code_and_get_result(code,df) + entry[f'{serialized_table_field}_label'] = str(pandas_eval) + except Exception as e: + print('EEEERRRRRRR', entry['id']) + print(e) + success_correcting, new_code, correcting_response,last_err = correct_code(df,entry[serialized_table_field], + entry['statement'], + code,f'{type(e).__name__}: {e}', + system_correcting_prompt=system_correcting_prompt,add_df_info=add_df_info, + model_name=kwargs.get('model_name','deepseek-ai/deepseek-coder-7b-instruct-v1.5'), + server_url=kwargs.get('server_url',"http://127.0.0.1:9092/v1")) + if success_correcting: + pandas_eval = run_code_and_get_result(new_code,df) + entry[f'{serialized_table_field}_label'] = str(pandas_eval) + entry[f'{serialized_table_field}_answ_correct'] = correcting_response + else: + entry[f'{serialized_table_field}_last_err'] = str(last_err) + + + except Exception as e: + print (e) + + return entry + + + + +def main(): + parser = argparse.ArgumentParser(description='Скрипт с настраиваемыми параметрами') + parser.add_argument('--inputdata', type=str, default='./answer_gen_nlsep_none_filtered_new_dataset') + parser.add_argument('--outputdata', type=str, default='./answer_gen_nlsep_none_filtered_new_dataset_failran_clear') + parser.add_argument('--num_proc', type=int, default=16, + help='Количество процессов') + parser.add_argument('--conf-file', type=str, default='./convert_conf.yaml') + #parser.add_argument('--add-df-info', type=int, default=0, help='Добавлять ли доп инфо о типах и столбцах df') + + args = parser.parse_args() + + inputdata = args.inputdata + outputdata = args.outputdata + NUM_PROC = args.num_proc + #add_df_info = bool(args.add_df_info) + conf_file = args.conf_file + print(f"inputdata: {inputdata}") + print(f"outputdata: {outputdata}") + print(f"num-proc: {NUM_PROC}") + print(f"conf-file: {conf_file}") + + config_data = load_config(conf_file) + dataset = load_from_disk(inputdata) + previous_checkpoint_dir = None + + for config_name in config_data.keys(): + config = config_data[config_name] + print(config_name) + print(config) + dataset = dataset.map(partial(dataset_processing,serialized_table_field=config_name, + system_correcting_prompt=system_correcting_prompt, + system_prompt=system_prompt,**config),num_proc=NUM_PROC) + #if inputdata == outputdata: + # shutil.rmtree(inputdata) + current_checkpoint_dir = f"{outputdata}_temp_ckpt_{config_name}" + dataset.save_to_disk(current_checkpoint_dir) + if previous_checkpoint_dir and os.path.exists(previous_checkpoint_dir): + print(f"Removing previous checkpoint: {previous_checkpoint_dir}") + shutil.rmtree(previous_checkpoint_dir) + + # 4. Обновляем ссылку на предыдущий чекпоинт для следующей итерации + previous_checkpoint_dir = current_checkpoint_dir + if previous_checkpoint_dir and os.path.exists(previous_checkpoint_dir): + # Если целевая папка уже существует, удаляем ее во избежание конфликта + if os.path.exists(outputdata): + shutil.rmtree(outputdata) + + os.rename(previous_checkpoint_dir, outputdata) + print(f"\nSuccess! Final dataset saved to: {outputdata}") + +if __name__ == "__main__": + #python ablation_experiments_local_model.py --inputdata tab_fact_test_semtab_xml_ablation --outputdata tab_fact_test_semtab_xml_ablation_lora --conf-file semtab_xml_config_answer_lora.yaml --num_proc 16 &> tab_fact_test_xml_ablation_lora_log.txt + main() + +# features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50'], \ No newline at end of file diff --git a/tests/add_column_defenition.py b/tests/add_column_defenition.py new file mode 100644 index 0000000..7173cb1 --- /dev/null +++ b/tests/add_column_defenition.py @@ -0,0 +1,230 @@ +import sys +import os +from datasets import load_from_disk + +# Добавляем корневую директорию проекта в sys.path +sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests'))) +from datasets import Dataset +import json +import pandas as pd +from io import StringIO +from tqdm import tqdm +from utils.utils import serialize_table, load_config +from utils.doduo.doduo import Doduo +from utils.cossim.cossim import Qwen3EmbeddingMatcher +import argparse +from functools import partial +import torch +system_prompt = '''You're an expert linguist. You are provided with a table schema with a description in XML format. +Your task is to analyze the tabular context and, based on the information received, give a brief but semantically succinct definition for each HEADER, +its format features (how to interpret signs, abbreviations, or complex strings, such as "A - B"). +If there are units of measurement in the EXAMPLES, then include them in the answer. + +The output must be in json in the dictionary format {
          :
          }. + +###################### +-Examples- +###################### +Example 1: + +
          +
          +
          +
          +
          +
          +###################### +Output: +{ +"planet": "The proper name of a celestial body in the Solar system, presented in text format.", +"type": "Classification of a planet by its physical and chemical composition (for example, 'terrestrial' — rocky or 'gas giant' — gas giant).", +"moons": "Quantitative indicator indicating the total number of confirmed natural satellites of the planet (integer).", +"diameter_km""The equatorial diameter of a celestial body, expressed in numerical terms. Unit of measurement: kilometers (km).", +"gravity_ms2": "Acceleration of gravity on the surface of the planet. Unit of measurement: meters per second squared ($$m/s^2$$)." +} +###################### +Example 2: + +
          +
          +
          +###################### +Output: +{ + "title": "The official name of a literary work, written in text form.", + "author": "The first and last name of the author (creator) of the work, presented as a string." +} +###################### +Example 3: + +
          +
          +
          +
          +
          +
          +###################### +Output: +{ + "model": "The commercial name of a specific device, including the series name and serial number.", +"brand": "The name of the manufacturing company (brand) responsible for the release of the device.", +"screen_size": "The diagonal size of the device's display, represented as a decimal. Unit of measurement: inches.", +"ram_gb": "The amount of RAM available for the system and applications. Unit of measurement: gigabytes (GB).", +"battery_mah": "The electrical capacity of the device's battery, which determines the battery life. Unit of measurement: milliampere-hours (mAh)." +} + +''' +prompt = ''' +###################### +-Real Data- +###################### +{input_text} +###################### +Output: +''' +from openai import OpenAI +import base64 +from typing import List,Dict,Any,Callable +import inspect +import re +def remove_think_tags(text: str) -> str: + """Удаляет тег ... из ответов моделей reasoning.""" + try: + match = re.search(r"<\/think>", text) + if match: + return text[match.end():].strip() + except Exception as e: + print(f"Error removing tags: {e}") + return text.strip() + +def get_kwargs(kwargs: Dict[str,Any],func: Callable) -> Dict[str,Any]: + ''' + Вытаскивает аргументы из kwargs по сигнатуре функции func. + ''' + sig = inspect.signature(func) + return {key:value for key,value in kwargs.items() if key in sig.parameters} + + +class ModelMessageDict(dict): + ''' + Класс - словарь для удобого форматирования запроса к модели. + Формирует словарь для передачи в клиента openia и в модель + ''' + def __init__(self,role:str='user'): + super().__init__() + self['role'] = role + self['content'] =[] + def add_text_content(self,content:str): + self['content'].append({'type':'text', + 'text':content}) + + def add_img_content(self, source:str = 'image_url',path_to_img : str = None, url: str = None): + match source: + case 'image_url': + if path_to_img != None: + with open(path_to_img, "rb") as f: + base64_image = base64.b64encode(f.read()).decode() + self['content'].append({'type':'image_url', + 'image_url':{'url':f"data:image/jpeg;base64,{base64_image}"}}) + elif url != None: + self['content'].append({'type':'image_url', + 'image_url':{'url':url}}) + +def send_messasge(messages:List[ModelMessageDict],base_url:str = "http://127.0.0.1:8880/v1", api_key:str = 'EMPTY', + model_name:str = 'Qwen/Qwen3-VL-30B-A3B-Thinking',**kwargs) -> List[str]: + ''' + Функция для отправки сообщениий в удаленную модель + ''' + client = OpenAI( api_key=api_key,base_url=base_url,**get_kwargs(kwargs,OpenAI)) + + try: + print(f"Generating content with model: {model_name}",) + + response = client.chat.completions.create( + messages=messages, + model=model_name, + **get_kwargs(kwargs,client.chat.completions.create) + ) + + cleaned_responses = [] + for answ in response.choices: + text = answ.message.content + if text: + # Вырезаем блок ... вместе с содержимым и переносами строк + # Флаг re.DOTALL нужен, чтобы точка (.) захватывала символы новой строки (\n) + text = remove_think_tags(text) + cleaned_responses.append(text.strip()) + else: + cleaned_responses.append("") + + return True, cleaned_responses + + except Exception as e: + print("Failed to call LLM: " + str(e)) + if hasattr(e, 'response'): + error_info = e.response.json() + code_value = error_info['error']['code'] + print(code_value) + else: + code_value = "context_length_exceeded" + print(code_value) + return False, None + +def extract_json_from_text(text): + # Ищем первую открывающую фигурную (объект) или квадратную (массив) скобку + match = re.search(r'\{|$$', text) + if not match: + return None + + # Отрезаем весь текст до начала JSON + json_start = match.start() + potential_json = text[json_start:] + + decoder = json.JSONDecoder() + try: + # raw_decode читает JSON и возвращает сам объект и индекс, где он закончился + obj, index = decoder.raw_decode(potential_json) + return obj + except json.JSONDecodeError as e: + print(f"Ошибка парсинга JSON: {e}") + return None + + +def add_to_dataset_column_def(data): + + user = ModelMessageDict(role='user') + user.add_text_content(system_prompt+prompt.format(input_text=data['semtab_xml_attributes_exampples_top1_tresh50'])) + + try: + sucs,res = send_messasge([user],model_name='Qwen/Qwen3-30B-A3B-Thinking-2507',base_url = "http://127.0.0.1:9124/v1") + + data['column_defenition'] = res[0] if sucs else 'None' + #try: + # data['semtab_query'] = data['statement'] + ' ' + serialize_table(df,model=model, description=data['table_caption'],basedir='../utils/doduo/') + except Exception as e: + print ('ERRORRRRRRRRRRRRRRRRRRRRRRRRR', e) + data['column_defenition'] = 'None' + return data + + + +def main(): + parser = argparse.ArgumentParser(description='Скрипт с настраиваемыми параметрами') + parser.add_argument('--inputdata', type=str, default='./tab_fact_test_unique_tables') + parser.add_argument('--outputdata', type=str, default='./tab_fact_test_unique_tables_def') + parser.add_argument('--num_proc', type=int, default=1, + help='Количество процессов') + + args = parser.parse_args() + + inputdata = args.inputdata + outputdata = args.outputdata + num_proc = args.num_proc + dataset = load_from_disk(inputdata) + dataset2 = dataset.map(add_to_dataset_column_def,num_proc=num_proc) + dataset2.save_to_disk(outputdata) + + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/tests/add_to_tabfact_serialize_table.py b/tests/add_to_tabfact_serialize_table.py index 7e66c41..50e963b 100644 --- a/tests/add_to_tabfact_serialize_table.py +++ b/tests/add_to_tabfact_serialize_table.py @@ -11,9 +11,11 @@ from tqdm import tqdm from utils.utils import serialize_table, load_config from utils.doduo.doduo import Doduo +from utils.cossim.cossim import Qwen3EmbeddingMatcher +from utils.defgen.defgen import ColumnDefGenerator import argparse from functools import partial - +import torch def add_to_dataset_table_serialization(data,name=None,include_description=False,**kwargs): @@ -22,7 +24,9 @@ def add_to_dataset_table_serialization(data,name=None,include_description=False, df = pd.read_csv(StringIO(data['table_text']), delimiter='#') try: if include_description: - kwargs['description'] = data['table_caption'] + kwargs['description'] = data['table_caption'] + #print(type(data)) + kwargs['add_data'] = data data[name] = serialize_table(df,**kwargs) #try: # data['semtab_query'] = data['statement'] + ' ' + serialize_table(df,model=model, description=data['table_caption'],basedir='../utils/doduo/') @@ -55,12 +59,21 @@ def main(): print(config_name) print(f"num-proc: {num_proc}") print(config_data) + model = None num_proc = config.get('num_proc',None) if config['serialization_type']=='semtab': if config['include_semantic_types']: - model = Doduo(argparse.Namespace(**{'model': config['model_type'], 'device': config['device']}),basedir=config['model_base_dir'])#'../utils/doduo/') + if config['semantic_method'] == 'Doduo': + model = Doduo(argparse.Namespace(**{'model': config['model_type'], 'device': config['device']}),basedir=config['model_base_dir'])#'../utils/doduo/') + # Ваш основной код здесь - config['model'] = model + config['model'] = model + elif config['semantic_method'] == 'CosSim': + model = Qwen3EmbeddingMatcher(**config) + config['model'] = model + elif config['semantic_method'] == 'DefGen': + model = ColumnDefGenerator() + config['model'] = model num_proc = None add_to_dataset_table_serialization_partial = partial(add_to_dataset_table_serialization,name=config_name,**config) @@ -69,6 +82,11 @@ def main(): dataset2 = dataset.map(add_to_dataset_table_serialization_partial,num_proc=num_proc) dataset2.save_to_disk(outputdata) dataset = dataset2 + del model + del config + with torch.no_grad(): + torch.cuda.empty_cache() + if __name__ == "__main__": main() \ No newline at end of file diff --git a/tests/convert_tabfact_to_xml_format.py b/tests/convert_tabfact_to_xml_format.py new file mode 100644 index 0000000..6aa043e --- /dev/null +++ b/tests/convert_tabfact_to_xml_format.py @@ -0,0 +1,66 @@ +import sys +import os +from datasets import load_from_disk + +# Добавляем корневую директорию проекта в sys.path +sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests'))) +from datasets import Dataset +import json +import pandas as pd +from io import StringIO +from tqdm import tqdm +from utils.utils import serialize_table +from utils.doduo.doduo import Doduo +import argparse +from functools import partial + +def convert_dataset_to_nlsep_format(model,data): + df = pd.read_csv(StringIO(data['table_text']), delimiter='#') + data['nlsep_query'] = data['statement'] + ' ' + serialize_table_to_tapex_format(df) + try: + data['semtab_query'] = data['statement'] + ' ' + serialize_table(df,model=model, description=data['table_caption'],basedir='../utils/doduo/') + except Exception as e: + print ('ERRORRRRRRRRRRRRRRRRRRRRRRRRR', e) + data['semtab_query'] = 'None' + return data + +def serialize_table_to_tapex_format(df): + head_pattern = " col : " + row_pattern = " row {num} : " + coll_delimetr = " | " + + lin_table = head_pattern+coll_delimetr.join(df.columns) + for i,row in df.iterrows(): + #print(row_pattern.format(num=i+1)) + lin_table+=row_pattern.format(num=i+1)+coll_delimetr.join(str(r) for r in row.values) + + return lin_table + +def main(): + parser = argparse.ArgumentParser(description='Скрипт с настраиваемыми параметрами') + parser.add_argument('--inputdata', type=str, default='./tab_fact_test') + parser.add_argument('--outputdata', type=str, default='./tab_fact_test_xml') + #parser.add_argument('--num_proc', type=int, default=2, + # help='Количество процессов') + + args = parser.parse_args() + + inputdata = args.inputdata + outputdata = args.outputdata + #NUM_PROC = args.num_proc + model_type = "viznet" + device = 'cuda' + print(f"inputdata: {inputdata}") + print(f"outputdata: {outputdata}") + #print(f"num-proc: {NUM_PROC}") + model = Doduo(argparse.Namespace(**{'model': model_type, 'device': device}),basedir='../utils/doduo/') + # Ваш основной код здесь + doduo_convert_dataset_to_nlsep_format = partial(convert_dataset_to_nlsep_format,model) + + dataset = load_from_disk(inputdata) + dataset2 = dataset.map(doduo_convert_dataset_to_nlsep_format) + dataset2.save_to_disk(outputdata) + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/tests/correctin_failrun_data.py b/tests/correctin_failrun_data.py new file mode 100644 index 0000000..60b976f --- /dev/null +++ b/tests/correctin_failrun_data.py @@ -0,0 +1,242 @@ + +# Добавляем корневую директорию проекта в sys.path +import argparse +from functools import partial +from datasets import load_from_disk +from openai import OpenAI +import sys +import os +import json +import pandas as pd +from io import StringIO +from tqdm import tqdm +import re +import time +# Добавляем корневую директорию проекта в sys.path +sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests'))) + +system_prompt = '''You are a Python expert specializing in pandas. Your task is to translate the +given natural language statement into a single-line pandas expression. This +expression must be valid and executable to verify the truth of the statement +using the provided table. Consider the following: +1. The table is represented as a pandas DataFrame named df. +2. Do not include explanations, comments, or multiline outputs. +3. Ensure the output is concise, correct, and when run outputs either True or +False, and strictly in the following Json Format with a single key "PANDA": +"PANDA": "" +''' +system_correcting_prompt = ''' +You are a Python expert specializing in pandas. Your task is to correct a pandas code that translates a given natural language statement into a pandas expression. The input data, code, along with the specific error it contains, is provided. +Your corrected pandas_code must be valid and executable by running the code +snippet str(bool(eval(pandas_code))) ensuring it accurately evaluates the truth +of the statement using the provided table with no errors. +Make sure the pandas_code is of type boolean. Consider the following: +1. The table is represented as a pandas DataFrame named df. +2. Do not include explanations, comments, or multiline outputs. +3. Ensure the output is concise, correct, and when run outputs either True or +False, and strictly in the following Json Format with a single key "CORRECT PANDA": +"CORRECT PANDA": "" +''' + + +def send_message(message,max_tokens=500,top_p=0.9,temperature=0.5,server_url="http://127.0.0.1:8800/v1",api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',system_prompt='', stop = ["Observation:","\n\n\n\n","\n \n \n"]): + client = OpenAI(base_url=server_url, api_key=api_key) + model_input = [ + { 'role': 'system', 'content': system_prompt}, + { 'role': 'user', 'content': message} + ] + try: + print(f"Generating content with model: {model_name}",) + + response = client.chat.completions.create( + model=model_name, + messages=model_input, + temperature=temperature, + max_tokens=max_tokens, + top_p=top_p, + stop = stop + ) + + return True, response.choices[0].message.content + + except Exception as e: + print("Failed to call LLM: " + str(e)) + time.sleep(6) + if hasattr(e, 'response'): + error_info = e.response.json() + code_value = error_info['error']['code'] + else: + code_value = "context_length_exceeded" + print("Retrying ...") + return False, None + +def parse_panda_code(input_string): + """ + Парсит строку и извлекает код, который находится внутри конструкции "PANDA": <код> + Поддерживает различные форматы: JSON, простой текст, Markdown + + Args: + input_string (str): Входная строка для парсинга + + Returns: + str: Извлеченный код или пустая строка, если код не найден + """ + # Сначала попробуем найти JSON объект с PANDA + json_pattern = r'\{[^{}]*(?:CORRECT PANDA|PANDA)":\s*(.+?)(?:\n|$)?\}' + json_match = re.search(json_pattern, input_string, re.DOTALL) + code = None + pattern = r'"(?:CORRECT PANDA|PANDA)":\s*(.+?)(?:\n|$)' + if json_match: + code = json_match.group(1).strip() + else: + match = re.search(pattern, input_string, re.DOTALL) + if match: + # Извлекаем код и убираем лишние пробелы по краям + code = match.group(1).strip() + # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON + + # Если JSON не найден или не распарсился, используем старый метод + # Паттерн для поиска кода после "PANDA": + # Ищет "PANDA": за которым следует пробел, затем код до конца строки или до следующего символа + if code != None: + # Убираем возможные кавычки вокруг кода + if code.startswith('"') and code.endswith('"'): + code = code[1:-1] + elif code.startswith("'") and code.endswith("'"): + code = code[1:-1] + + return code + + return "" + +def correct_code(df, input_data, code_str, error_str, iter_id=0, system_correcting_prompt='', + stop=["Observation:", "\n\n\n\n", "\n \n \n"], + max_tokens=500, top_p=0.9, temperature=0.5, + server_url="http://127.0.0.1:8800/v1", api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5', max_iter=5): + """ + Рекурсивно исправляет код с использованием LLM + """ + if iter_id < max_iter: + # Формируем запрос на исправление + success, response = send_message( + f'INPUT DATA: {input_data}\nCODE: {code_str}\nERROR: {error_str}', + stop=stop, + max_tokens=max_tokens, + top_p=top_p, + temperature=temperature, + server_url=server_url, + api_key=api_key, + model_name=model_name, + system_prompt=system_correcting_prompt + ) + + if success: + code = parse_panda_code(response) + if not code: # Если не удалось извлечь код + print(f"Iteration {iter_id}: Failed to parse code from response",f"text: {response}") + return correct_code(df, input_data, code_str, error_str, iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter) + + try: + # Пробуем выполнить исправленный код + pandas_eval = str(bool(eval(code))) + print(f"Iteration {iter_id}: Code corrected successfully") + return True, code, response + except Exception as e: + print(f"Iteration {iter_id}: Code execution failed with error: {e}") + # Рекурсивно пытаемся исправить новый код + return correct_code(df, input_data, code, str(e), iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter) + else: + print(f'Iteration {iter_id}: LLM call failed') + # Если не удалось вызвать LLM, пробуем снова с теми же данными + return correct_code(df, input_data, code_str, error_str, iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter) + else: + print(f'Max iterations ({max_iter}) reached without successful correction') + return False, code_str, None + + +def dataset_processing(entry,query_field=None,system_correcting_prompt='',system_prompt=''): + df = pd.read_csv(StringIO(entry['table_text']), delimiter='#') + for col in df.columns: + try: + df[col] = pd.to_numeric(df[col]) + except ValueError: + # Если возникает ошибка, оставляем столбец как есть + continue + + success,response = send_message(entry[f"{query_field}_query"], + system_prompt=system_prompt) + + entry[f'{query_field}_answ'] = 'None' + entry[f'{query_field}_label'] = 'None' + entry[f'{query_field}_answ_correct'] = 'None' + + + if success: + entry[f'{query_field}_answ'] = response + try: + code = parse_panda_code(response) + try: + + pandas_eval = str(bool(eval(code))) + entry[f'{query_field}_label'] = str(pandas_eval) + except Exception as e: + print('EEEERRRRRRR', entry['id']) + print(e) + success_correcting, new_code, correcting_response = correct_code(df,entry[f"{query_field}_query"], + code,str(e), + system_correcting_prompt=system_correcting_prompt) + if success_correcting: + pandas_eval = str(bool(eval(new_code))) + entry[f'{query_field}_label'] = str(pandas_eval) + entry[f'{query_field}_answ_correct'] = correcting_response + except Exception as e: + print (e) + + return entry + + + + +def main(): + parser = argparse.ArgumentParser(description='Скрипт с настраиваемыми параметрами') + parser.add_argument('--inputdata', type=str, default='./answer_gen_nlsep_none_filtered_new_dataset') + parser.add_argument('--outputdata', type=str, default='./answer_gen_nlsep_none_filtered_new_dataset_failran_clear') + parser.add_argument('--num_proc', type=int, default=16, + help='Количество процессов') + parser.add_argument('--query-field', type=str, default='nlsep', + choices=['semtab', 'nlsep','proto'], help='Тип query field') + + args = parser.parse_args() + + inputdata = args.inputdata + outputdata = args.outputdata + query_field = args.query_field + NUM_PROC = args.num_proc + + print(f"inputdata: {inputdata}") + print(f"outputdata: {outputdata}") + print(f"query_field: {query_field}") + print(f"num-proc: {NUM_PROC}") + # Ваш основной код здесь + dataset = load_from_disk(inputdata) + #dataset = dataset.filter(lambda x: True if x[f'{query_field}_answ']!='None' else False,num_proc=17) + #dataset = dataset.filter(lambda x: True if x[f'{query_field}_label']=='None' else False,num_proc=17) + dataset = dataset.map(partial(dataset_processing,query_field=query_field, + system_correcting_prompt=system_correcting_prompt, + system_prompt=system_prompt),num_proc=NUM_PROC) + dataset.save_to_disk(outputdata) + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/tests/correctin_failrun_data_modify.py b/tests/correctin_failrun_data_modify.py new file mode 100644 index 0000000..efc237f --- /dev/null +++ b/tests/correctin_failrun_data_modify.py @@ -0,0 +1,249 @@ + +# Добавляем корневую директорию проекта в sys.path +import argparse +from functools import partial +from datasets import load_from_disk +from openai import OpenAI +import sys +import os +import json +import pandas as pd +from io import StringIO +from tqdm import tqdm +import re +import time +import traceback +# Добавляем корневую директорию проекта в sys.path +sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests'))) + +system_prompt = '''You are a Python expert specializing in pandas. Your task is to translate the +given natural language statement into a single-line pandas expression. This +expression must be valid and executable to verify the truth of the statement +using the provided table. Consider the following: +1. The table is represented as a pandas DataFrame named df. +2. Do not include explanations, comments, or multiline outputs. +3. Ensure the output is concise, correct, and when run outputs either True or +False, and strictly in the following Json Format with a single key "PANDA": +"PANDA": "" +''' +system_correcting_prompt = ''' +You are a Python expert specializing in pandas. Your task is to correct a pandas code that translates a given natural language statement into a pandas expression. The input data, code, along with the specific error it contains, is provided. +Your corrected pandas_code must be valid and executable by running the code +snippet str(bool(eval(pandas_code))) ensuring it accurately evaluates the truth +of the statement using the provided table with no errors. +Make sure the pandas_code is of type boolean. Consider the following: +1. The table is represented as a pandas DataFrame named df. +2. Do not include explanations, comments, or multiline outputs. +3. Ensure the output is concise, correct, and when run outputs either True or +False, and strictly in the following Json Format with a single key "CORRECT PANDA": +"CORRECT PANDA": "" +''' + + +def send_message(message,max_tokens=500,top_p=0.9,temperature=0.5,server_url="http://127.0.0.1:8800/v1",api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',system_prompt='', stop = ["Observation:","\n\n\n\n","\n \n \n"]): + client = OpenAI(base_url=server_url, api_key=api_key) + model_input = [ + { 'role': 'system', 'content': system_prompt}, + { 'role': 'user', 'content': message} + ] + try: + print(f"Generating content with model: {model_name}",) + + response = client.chat.completions.create( + model=model_name, + messages=model_input, + temperature=temperature, + max_tokens=max_tokens, + top_p=top_p, + stop = stop + ) + + return True, response.choices[0].message.content + + except Exception as e: + print("Failed to call LLM: " + str(e)) + time.sleep(6) + if hasattr(e, 'response'): + error_info = e.response.json() + code_value = error_info['error']['code'] + else: + code_value = "context_length_exceeded" + print("Retrying ...") + return False, None + +def parse_panda_code(input_string): + """ + Парсит строку и извлекает код, который находится внутри конструкции "PANDA": <код> + Поддерживает различные форматы: JSON, простой текст, Markdown + + Args: + input_string (str): Входная строка для парсинга + + Returns: + str: Извлеченный код или пустая строка, если код не найден + """ + # Сначала попробуем найти JSON объект с PANDA + json_pattern = r'\{[^{}]*(?:CORRECT PANDA|PANDA)":\s*(.+?)(?:\n|$)?\}' + json_match = re.search(json_pattern, input_string, re.DOTALL) + code = None + pattern = r'"(?:CORRECT PANDA|PANDA)":\s*(.+?)(?:\n|$)' + if json_match: + code = json_match.group(1).strip() + else: + match = re.search(pattern, input_string, re.DOTALL) + if match: + # Извлекаем код и убираем лишние пробелы по краям + code = match.group(1).strip() + # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON + + # Если JSON не найден или не распарсился, используем старый метод + # Паттерн для поиска кода после "PANDA": + # Ищет "PANDA": за которым следует пробел, затем код до конца строки или до следующего символа + if code != None: + # Убираем возможные кавычки вокруг кода + if code.startswith('"') and code.endswith('"'): + code = code[1:-1] + elif code.startswith("'") and code.endswith("'"): + code = code[1:-1] + + return code + + return "" + +def correct_code(df, input_data, code_str, error_str, iter_id=0, system_correcting_prompt='', + stop=["Observation:", "\n\n\n\n", "\n \n \n"], + max_tokens=500, top_p=0.9, temperature=0.5, + server_url="http://127.0.0.1:8800/v1", api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5', max_iter=5,add_df_info=False): + """ + Рекурсивно исправляет код с использованием LLM + """ + if iter_id < max_iter: + if add_df_info : + df_info = df.dtypes.to_string() + df_info = f'DATAFRAME TABLE TYPES: {df_info}\n' + else: + df_info = '' + # Формируем запрос на исправление + success, response = send_message( + f'INPUT DATA: {input_data}\n{df_info} CODE: {code_str}\nERROR: {error_str}', + stop=stop, + max_tokens=max_tokens, + top_p=top_p, + temperature=temperature, + server_url=server_url, + api_key=api_key, + model_name=model_name, + system_prompt=system_correcting_prompt + ) + + if success: + code = parse_panda_code(response) + if not code: # Если не удалось извлечь код + print(f"Iteration {iter_id}: Failed to parse code from response",f"text: {response}") + return correct_code(df, input_data, code_str, error_str, iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter,add_df_info=add_df_info) + + try: + # Пробуем выполнить исправленный код + pandas_eval = str(bool(eval(code))) + print(f"Iteration {iter_id}: Code corrected successfully") + return True, code, response + except Exception as e: + print(f"Iteration {iter_id}: Code execution failed with error: {e}") + # Рекурсивно пытаемся исправить новый код + return correct_code(df, input_data, code, f'{type(e).__name__}: {e}', iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter,add_df_info=add_df_info) + else: + print(f'Iteration {iter_id}: LLM call failed') + # Если не удалось вызвать LLM, пробуем снова с теми же данными + return correct_code(df, input_data, code_str, error_str, iter_id=iter_id+1, + max_tokens=max_tokens, top_p=top_p, temperature=temperature, + server_url=server_url, api_key=api_key, model_name=model_name, + system_correcting_prompt=system_correcting_prompt, max_iter=max_iter,add_df_info=add_df_info) + else: + print(f'Max iterations ({max_iter}) reached without successful correction') + return False, code_str, None + + +def dataset_processing(entry,query_field=None,system_correcting_prompt='',system_prompt='',add_df_info=False,): + df = pd.read_csv(StringIO(entry['table_text']), delimiter='#') + for col in df.columns: + try: + df[col] = pd.to_numeric(df[col]) + except ValueError: + # Если возникает ошибка, оставляем столбец как есть + continue + #query = entry[f"{query_field}_query"] + #query = entry['statement']+ ' ' + serialize_table(df,serialization_type='space') + query = entry['statement']+ ' ' + entry[query_field] + success,response = send_message(query, system_prompt=system_prompt) + + entry[f'{query_field}_answ'] = 'None' + entry[f'{query_field}_label'] = 'None' + entry[f'{query_field}_answ_correct'] = 'None' + + + if success: + entry[f'{query_field}_answ'] = response + try: + code = parse_panda_code(response) + try: + + pandas_eval = str(bool(eval(code))) + entry[f'{query_field}_label'] = str(pandas_eval) + except Exception as e: + print('EEEERRRRRRR', entry['id']) + print(e) + success_correcting, new_code, correcting_response = correct_code(df,query,code,f'{type(e).__name__}: {e}', + system_correcting_prompt=system_correcting_prompt,add_df_info=add_df_info) + if success_correcting: + pandas_eval = str(bool(eval(new_code))) + entry[f'{query_field}_label'] = str(pandas_eval) + entry[f'{query_field}_answ_correct'] = correcting_response + except Exception as e: + print (e) + + return entry + + + + +def main(): + parser = argparse.ArgumentParser(description='Скрипт с настраиваемыми параметрами') + parser.add_argument('--inputdata', type=str, default='./answer_gen_nlsep_none_filtered_new_dataset') + parser.add_argument('--outputdata', type=str, default='./answer_gen_nlsep_none_filtered_new_dataset_failran_clear') + parser.add_argument('--num_proc', type=int, default=16, + help='Количество процессов') + parser.add_argument('--query-field', type=str, default='nlsep', help='Тип query field') + parser.add_argument('--add-df-info', type=int, default=0, help='Добавлять ли доп инфо о типах и столбцах df') + + args = parser.parse_args() + + inputdata = args.inputdata + outputdata = args.outputdata + query_field = args.query_field + NUM_PROC = args.num_proc + add_df_info = bool(args.add_df_info) + print(f"inputdata: {inputdata}") + print(f"outputdata: {outputdata}") + print(f"query_field: {query_field}") + print(f"num-proc: {NUM_PROC}") + print(f'add_df_info: {add_df_info}') + # Ваш основной код здесь + dataset = load_from_disk(inputdata) + #dataset = dataset.filter(lambda x: True if x[f'{query_field}_answ']!='None' else False,num_proc=17) + #dataset = dataset.filter(lambda x: True if x[f'{query_field}_label']=='None' else False,num_proc=17) + dataset = dataset.map(partial(dataset_processing,query_field=query_field, + system_correcting_prompt=system_correcting_prompt, + system_prompt=system_prompt,add_df_info=add_df_info),num_proc=NUM_PROC) + dataset.save_to_disk(outputdata) + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/tests/correctin_failrun_data_only.py b/tests/correctin_failrun_data_only.py new file mode 100644 index 0000000..d7e23c3 --- /dev/null +++ b/tests/correctin_failrun_data_only.py @@ -0,0 +1,207 @@ + +# Добавляем корневую директорию проекта в sys.path +import argparse +from functools import partial +from datasets import load_from_disk +from openai import OpenAI +import sys +import os +import json +import pandas as pd +from io import StringIO +from tqdm import tqdm +import re +# Добавляем корневую директорию проекта в sys.path +sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests'))) + +system_prompt = '''You are a Python expert specializing in pandas. Your task is to translate the +given natural language statement into a single-line pandas expression. This +expression must be valid and executable to verify the truth of the statement +using the provided table. Consider the following: +1. The table is represented as a pandas DataFrame named df. +2. Do not include explanations, comments, or multiline outputs. +3. Ensure the output is concise, correct, and when run outputs either True or +False, and strictly in the following Json Format with a single key "PANDA": +"PANDA": "" +''' +system_correcting_prompt = ''' +You are a Python expert specializing in pandas. Your task is to correct a pandas code that translates +a given natural language statement into a pandas +expression. The input data, code, along with the specific error it contains, is provided. +Your corrected pandas_code must be valid and executable by running the code +snippet str(bool(eval(pandas_code))) ensuring it accurately evaluates the truth +of the statement using the provided table with no errors. +Make sure the pandas_code is of type boolean. Consider the following: +1. The table is represented as a pandas DataFrame named df. +2. Do not include explanations, comments, or multiline outputs. +3. Ensure the output is concise, correct, and when run outputs either True or +False, and strictly in the following Json Format with a single key "CORRECT PANDA": +"CORRECT PANDA": "" +''' + + +def send_message(message,max_tokens=500,top_p=0.9,temperature=0.5,server_url="http://127.0.0.1:8800/v1",api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',system_prompt='', stop = ["Observation:","\n\n\n\n","\n \n \n"]): + client = OpenAI(base_url=server_url, api_key=api_key) + model_input = [ + { 'role': 'system', 'content': system_prompt}, + { 'role': 'user', 'content': message} + ] + try: + print(f"Generating content with model: {model_name}",) + + response = client.chat.completions.create( + model=model_name, + messages=model_input, + temperature=temperature, + max_tokens=max_tokens, + top_p=top_p, + stop = stop + ) + + return True, response.choices[0].message.content + + except Exception as e: + print("Failed to call LLM: " + str(e)) + time.sleep(6) + if hasattr(e, 'response'): + error_info = e.response.json() + code_value = error_info['error']['code'] + else: + code_value = "context_length_exceeded" + print("Retrying ...") + return False, None + +def parse_panda_code(input_string): + """ + Парсит строку и извлекает код, который находится внутри конструкции "PANDA": <код> + Поддерживает различные форматы: JSON, простой текст, Markdown + + Args: + input_string (str): Входная строка для парсинга + + Returns: + str: Извлеченный код или пустая строка, если код не найден + """ + # Сначала попробуем найти JSON объект с PANDA + json_pattern = r'\{[^{}]*PANDA":\s*(.+?)(?:\n|$)?\}' + json_match = re.search(json_pattern, input_string, re.DOTALL) + code = None + pattern = r'"PANDA":\s*(.+?)(?:\n|$)' + if json_match: + code = json_match.group(1).strip() + else: + match = re.search(pattern, input_string, re.DOTALL) + if match: + # Извлекаем код и убираем лишние пробелы по краям + code = match.group(1).strip() + # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON + + # Если JSON не найден или не распарсился, используем старый метод + # Паттерн для поиска кода после "PANDA": + # Ищет "PANDA": за которым следует пробел, затем код до конца строки или до следующего символа + if code != None: + # Убираем возможные кавычки вокруг кода + if code.startswith('"') and code.endswith('"'): + code = code[1:-1] + elif code.startswith("'") and code.endswith("'"): + code = code[1:-1] + + return code + + return "" + +def correct_code(df,input_data,code_str,error_str,iter_id=0,system_correcting_prompt='',stop= ["Observation:","\n\n\n\n","\n \n \n"], + max_tokens=500,top_p=0.9,temperature=0.5,server_url="http://127.0.0.1:8800/v1",api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',max_iter=5): + if iter_id defgen_test_log.txt\n", + "\n", + "\n", + "python ablation_experiments.py --inputdata tab_fact_test_semtab_xml_ablation --outputdata tab_fact_test_semtab_xml_repanda --conf-file semtab_xml_config_answer_local_model.yaml --num_proc 16 > tab_fact_test_xml_ablation_log_repanda.txt" ] }, { - "cell_type": "code", - "execution_count": 8, - "id": "6adf47a7-4b6b-4513-a7dc-561208e3825b", + "cell_type": "markdown", + "id": "9d64a11d-48a6-4fbe-bfd1-b148716da902", "metadata": {}, - "outputs": [], "source": [ - "import sys\n", - "import os\n", - "\n", - "# Добавляем корневую директорию проекта в sys.path\n", - "sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests')))" + "# Definition test" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "b60f3ad1-64be-4707-b605-26205badfd56", + "execution_count": 132, + "id": "1349c891-dc09-4df5-b21e-9f71e5189db6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Dataset({\n", - " features: ['id', 'statement', 'label', 'table_caption', 'table_text', 'pandas_code', 'pandas_eval', 'nlsep_query', 'semtab_query'],\n", - " num_rows: 88116\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50'],\n", + " num_rows: 12779\n", "})" ] }, - "execution_count": 4, + "execution_count": 132, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dataset = load_from_disk('none_filtered_new_dataset/')\n", + "from datasets import load_from_disk\n", + "from datasets import Dataset\n", + "dataset = load_from_disk('tab_fact_test_semtab_xml_ablation_new_continue/')\n", "dataset" ] }, { "cell_type": "code", - "execution_count": 42, - "id": "a817e960-131b-48c1-bd77-8243d1148668", + "execution_count": 133, + "id": "07644b54-714a-4f46-a0b5-14f098f28041", "metadata": {}, "outputs": [ { - "ename": "NameError", - "evalue": "name 'dataset' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[42], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdataset\u001b[49m[\u001b[38;5;241m9\u001b[39m]\n", - "\u001b[0;31mNameError\u001b[0m: name 'dataset' is not defined" - ] + "data": { + "text/plain": [ + "'
          '" + ] + }, + "execution_count": 133, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "dataset[0]" + "data = load_from_disk('tab_fact_test_defgen_new')\n", + "data[0]['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50']" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "bf7d5707-8b9d-493f-9859-b22df71c0f1d", + "execution_count": 145, + "id": "c52df2e6-6278-4fa1-b19c-c1449368fc50", "metadata": {}, "outputs": [], "source": [ - "\n", - "system_prompt = '''You are a Python expert specializing in pandas. Your task is to translate the\n", - "given natural language statement into a single-line pandas expression. This\n", - "expression must be valid and executable to verify the truth of the statement\n", - "using the provided table. Consider the following:\n", - "1. The table is represented as a pandas DataFrame named df.\n", - "2. Do not include explanations, comments, or multiline outputs.\n", - "3. Ensure the output is concise, correct, and when run outputs either True or\n", - "False, and strictly in the following Json Format with a single key \"PANDA\":\n", - "\"PANDA\": \"\"\n", - "'''\n" + "p = dataset.unique('table_csv')" ] }, { "cell_type": "code", - "execution_count": 6, - "id": "730a7ee1-017c-4e1f-ba34-884619081578", + "execution_count": 148, + "id": "d5de4334-00af-494e-bc81-f4c7ccac465d", + "metadata": {}, + "outputs": [], + "source": [ + "df = dataset.to_pandas()\n", + "df_unique = df.drop_duplicates(subset=['table_csv'])\n", + "dataset_unique = Dataset.from_pandas(df_unique)" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "id": "f5288514-c290-4474-8f32-27817616261b", "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "You are a Python expert specializing in pandas. Your task is to translate the\n", - "given natural language statement into a single-line pandas expression. This\n", - "expression must be valid and executable to verify the truth of the statement\n", - "using the provided table. Consider the following:\n", - "1. The table is represented as a pandas DataFrame named df.\n", - "2. Do not include explanations, comments, or multiline outputs.\n", - "3. Ensure the output is concise, correct, and when run outputs either True or\n", - "False, and strictly in the following Json Format with a single key \"PANDA\":\n", - "\"PANDA\": \"\"\n", - "\n" + "Saving the dataset (1/1 shards): 100%|██████████| 1695/1695 [00:00<00:00, 61870.43 examples/s]\n" ] } ], "source": [ - "print(system_prompt)" + "dataset_unique.save_to_disk('tab_fact_test_unique_tables')" ] }, { "cell_type": "code", - "execution_count": 7, - "id": "9e1c03a2-a140-409c-af6a-1d9f628da2d9", + "execution_count": 136, + "id": "9ff11684-afaf-4746-9592-155ebfdfaeb7", + "metadata": {}, + "outputs": [], + "source": [ + "p = set(c)" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "id": "815faa2a-febb-4e52-9053-1e4c63ed3dae", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "list indices must be integers or slices, not list", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[138], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mc\u001b[49m\u001b[43m[\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtable_text\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtable_caption\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m\n", + "\u001b[0;31mTypeError\u001b[0m: list indices must be integers or slices, not list" + ] + } + ], + "source": [ + "c[['table_text','table_caption']]" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "78cdd188-cedb-4c2e-8c45-f1cdcb9885ad", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\n######################\\n-Real Data-\\n######################\\n------------------------\\n######################\\nOutput:\\n'" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "system_prompt = '''You're an expert linguist. You are provided with a table schema with a description in XML format.\n", + "Your task is to analyze the tabular context and, based on the information received, give a brief but semantically succinct definition for each HEADER, \n", + "its format features (how to interpret signs, abbreviations, or complex strings, such as \"A - B\"). \n", + "If there are units of measurement in the EXAMPLES, then include them in the answer. \n", + "\n", + "The output must be in json in the dictionary format {
          :
          }.\n", + "\n", + "######################\n", + "-Examples-\n", + "######################\n", + "Example 1:\n", + "\n", + "
          \n", + "
          \n", + "
          \n", + "
          \n", + "
          \n", + "
          \n", + "######################\n", + "Output:\n", + "{\n", + "\"planet\": \"The proper name of a celestial body in the Solar system, presented in text format.\",\n", + "\"type\": \"Classification of a planet by its physical and chemical composition (for example, 'terrestrial' — rocky or 'gas giant' — gas giant).\",\n", + "\"moons\": \"Quantitative indicator indicating the total number of confirmed natural satellites of the planet (integer).\",\n", + "\"diameter_km\"\"The equatorial diameter of a celestial body, expressed in numerical terms. Unit of measurement: kilometers (km).\",\n", + "\"gravity_ms2\": \"Acceleration of gravity on the surface of the planet. Unit of measurement: meters per second squared ($$m/s^2$$).\"\n", + "}\n", + "######################\n", + "Example 2:\n", + "\n", + "
          \n", + "
          \n", + "
          \n", + "######################\n", + "Output:\n", + "{\n", + " \"title\": \"The official name of a literary work, written in text form.\",\n", + " \"author\": \"The first and last name of the author (creator) of the work, presented as a string.\"\n", + "}\n", + "######################\n", + "Example 3:\n", + "\n", + "
          \n", + "
          \n", + "
          \n", + "
          \n", + "
          \n", + "
          \n", + "######################\n", + "Output:\n", + "{\n", + " \"model\": \"The commercial name of a specific device, including the series name and serial number.\",\n", + "\"brand\": \"The name of the manufacturing company (brand) responsible for the release of the device.\",\n", + "\"screen_size\": \"The diagonal size of the device's display, represented as a decimal. Unit of measurement: inches.\",\n", + "\"ram_gb\": \"The amount of RAM available for the system and applications. Unit of measurement: gigabytes (GB).\",\n", + "\"battery_mah\": \"The electrical capacity of the device's battery, which determines the battery life. Unit of measurement: milliampere-hours (mAh).\"\n", + "}\n", + "\n", + "'''\n", + "prompt = '''\n", + "######################\n", + "-Real Data-\n", + "######################\n", + "{input_text}\n", + "######################\n", + "Output:\n", + "'''\n", + "prompt.format(input_text='------------------------')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6ea78383-4760-405d-aa82-dfd14a98e0de", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 121, + "id": "dbd27da5-ccbe-46f6-997c-8668d8de9073", "metadata": {}, "outputs": [], "source": [ "from openai import OpenAI\n", - "def send_message(message,max_tokens=2000,top_p=0.9,temperature=0.5,server_url=\"http://127.0.0.1:8800/v1\",api_key=\"dummy\",\n", - " model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',system_prompt='', stop = [\"Observation:\",\"\\n\\n\\n\\n\",\"\\n \\n \\n\"]):\n", - " client = OpenAI(base_url=server_url, api_key=api_key)\n", - " model_input = [\n", - " { 'role': 'system', 'content': system_prompt},\n", - " { 'role': 'user', 'content': message}\n", - " ]\n", + "import base64\n", + "from typing import List,Dict,Any,Callable\n", + "import inspect\n", + "import re\n", + "def get_kwargs(kwargs: Dict[str,Any],func: Callable) -> Dict[str,Any]:\n", + " '''\n", + " Вытаскивает аргументы из kwargs по сигнатуре функции func.\n", + " '''\n", + " sig = inspect.signature(func)\n", + " return {key:value for key,value in kwargs.items() if key in sig.parameters}\n", + "\n", + "\n", + "class ModelMessageDict(dict):\n", + " '''\n", + " Класс - словарь для удобого форматирования запроса к модели.\n", + " Формирует словарь для передачи в клиента openia и в модель\n", + " '''\n", + " def __init__(self,role:str='user'):\n", + " super().__init__()\n", + " self['role'] = role\n", + " self['content'] =[]\n", + " def add_text_content(self,content:str):\n", + " self['content'].append({'type':'text',\n", + " 'text':content})\n", + "\n", + " def add_img_content(self, source:str = 'image_url',path_to_img : str = None, url: str = None):\n", + " match source:\n", + " case 'image_url':\n", + " if path_to_img != None:\n", + " with open(path_to_img, \"rb\") as f:\n", + " base64_image = base64.b64encode(f.read()).decode()\n", + " self['content'].append({'type':'image_url',\n", + " 'image_url':{'url':f\"data:image/jpeg;base64,{base64_image}\"}})\n", + " elif url != None:\n", + " self['content'].append({'type':'image_url',\n", + " 'image_url':{'url':url}})\n", + "\n", + "def send_messasge(messages:List[ModelMessageDict],base_url:str = \"http://127.0.0.1:8880/v1\", api_key:str = 'EMPTY',\n", + " model_name:str = 'Qwen/Qwen3-VL-30B-A3B-Thinking',**kwargs) -> List[str]:\n", + " '''\n", + " Функция для отправки сообщениий в удаленную модель\n", + " '''\n", + " client = OpenAI( api_key=api_key,base_url=base_url,**get_kwargs(kwargs,OpenAI))\n", + " \n", " try:\n", " print(f\"Generating content with model: {model_name}\",)\n", " \n", " response = client.chat.completions.create(\n", - " model=model_name,\n", - " messages=model_input,\n", - " temperature=temperature,\n", - " max_tokens=max_tokens,\n", - " top_p=top_p,\n", - " stop = stop\n", - " )\n", + " messages=messages,\n", + " model=model_name,\n", + " **get_kwargs(kwargs,client.chat.completions.create)\n", + " )\n", " \n", - " return True, response.choices[0].message.content\n", + " cleaned_responses = []\n", + " for answ in response.choices:\n", + " text = answ.message.content\n", + " if text:\n", + " # Вырезаем блок ... вместе с содержимым и переносами строк\n", + " # Флаг re.DOTALL нужен, чтобы точка (.) захватывала символы новой строки (\\n)\n", + " text = re.sub(r'.*?\\n*', '', text, flags=re.DOTALL)\n", + " cleaned_responses.append(text.strip())\n", + " else:\n", + " cleaned_responses.append(\"\")\n", + " \n", + " return True, cleaned_responses\n", "\n", " except Exception as e:\n", " print(\"Failed to call LLM: \" + str(e))\n", - " time.sleep(6)\n", " if hasattr(e, 'response'):\n", " error_info = e.response.json() \n", " code_value = error_info['error']['code']\n", + " print(code_value)\n", " else:\n", " code_value = \"context_length_exceeded\"\n", - " print(\"Retrying ...\")\n", + " print(code_value)\n", " return False, None" ] }, { "cell_type": "code", - "execution_count": 8, - "id": "2465bb75-3e3a-4236-ba60-f8a9db70e9d8", + "execution_count": 116, + "id": "0a9eb0d3-dfa5-4219-ad95-35d0b87d2f53", "metadata": {}, "outputs": [], "source": [ - "import json\n", - "import pandas as pd\n", - "from io import StringIO\n", - "from tqdm import tqdm" + "repanda\n" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "id": "d9bcbded-b951-47a2-8c58-8db9381fd2e2", + "metadata": {}, + "outputs": [], + "source": [ + "import requests\n", + "x = requests.get('http://localhost:9123/v1/models')" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "id": "1b2cd94c-87b8-41ea-beba-c93a0e614d9c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'object': 'list',\n", + " 'data': [{'id': 'deepseek-ai/deepseek-coder-7b-instruct-v1.5',\n", + " 'object': 'model',\n", + " 'created': 1775223863,\n", + " 'owned_by': 'vllm',\n", + " 'root': 'deepseek-ai/deepseek-coder-7b-instruct-v1.5',\n", + " 'parent': None,\n", + " 'max_model_len': 4096,\n", + " 'permission': [{'id': 'modelperm-93d9af1cabe94e79b47505d7f31b4e92',\n", + " 'object': 'model_permission',\n", + " 'created': 1775223863,\n", + " 'allow_create_engine': False,\n", + " 'allow_sampling': True,\n", + " 'allow_logprobs': True,\n", + " 'allow_search_indices': False,\n", + " 'allow_view': True,\n", + " 'allow_fine_tuning': False,\n", + " 'organization': '*',\n", + " 'group': None,\n", + " 'is_blocking': False}]},\n", + " {'id': 'repanda',\n", + " 'object': 'model',\n", + " 'created': 1775223863,\n", + " 'owned_by': 'vllm',\n", + " 'root': '/home/mikhailov_a/semtab_serializer/model/pantabfact2/checkpoint-8000',\n", + " 'parent': 'deepseek-ai/deepseek-coder-7b-instruct-v1.5',\n", + " 'max_model_len': None,\n", + " 'permission': [{'id': 'modelperm-86e232d4693a4da8807375634c63ab81',\n", + " 'object': 'model_permission',\n", + " 'created': 1775223863,\n", + " 'allow_create_engine': False,\n", + " 'allow_sampling': True,\n", + " 'allow_logprobs': True,\n", + " 'allow_search_indices': False,\n", + " 'allow_view': True,\n", + " 'allow_fine_tuning': False,\n", + " 'organization': '*',\n", + " 'group': None,\n", + " 'is_blocking': False}]}]}" + ] + }, + "execution_count": 120, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x.json()" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "8f9de72e-5e72-43b7-90fe-789bfac356bf", + "metadata": {}, + "outputs": [], + "source": [ + "arr = [ModelMessageDict(role='system').add_text_content(system_prompt),\n", + " ModelMessageDict(role='user').add_text_content(prompt.format(input_text=dataset[14]['semtab_xml_attributes_exampples_description_top1_tresh50'])+'/nothink')]" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "fc42cd74-09ef-4c29-9bdd-5996decbb8fa", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'role': 'user',\n", + " 'content': [{'type': 'text',\n", + " 'text': 'You\\'re an expert linguist. You are provided with a table schema with a description in XML format.\\nYour task is to analyze the tabular context and, based on the information received, give a brief but semantically succinct definition for each HEADER, \\nits format features (how to interpret signs, abbreviations, or complex strings, such as \"A - B\"). \\nIf there are units of measurement in the EXAMPLES, then include them in the answer. \\n\\nThe output must be in json in the dictionary format {
          :
          }.\\n\\n######################\\n-Examples-\\n######################\\nExample 1:\\n\\n
          \\n
          \\n
          \\n
          \\n
          \\n
          \\n######################\\nOutput:\\n{\\n\"planet\": \"The proper name of a celestial body in the Solar system, presented in text format.\",\\n\"type\": \"Classification of a planet by its physical and chemical composition (for example, \\'terrestrial\\' — rocky or \\'gas giant\\' — gas giant).\",\\n\"moons\": \"Quantitative indicator indicating the total number of confirmed natural satellites of the planet (integer).\",\\n\"diameter_km\"\"The equatorial diameter of a celestial body, expressed in numerical terms. Unit of measurement: kilometers (km).\",\\n\"gravity_ms2\": \"Acceleration of gravity on the surface of the planet. Unit of measurement: meters per second squared ($$m/s^2$$).\"\\n}\\n######################\\nExample 2:\\n\\n
          \\n
          \\n
          \\n######################\\nOutput:\\n{\\n \"title\": \"The official name of a literary work, written in text form.\",\\n \"author\": \"The first and last name of the author (creator) of the work, presented as a string.\"\\n}\\n######################\\nExample 3:\\n\\n
          \\n
          \\n
          \\n
          \\n
          \\n
          \\n######################\\nOutput:\\n{\\n \"model\": \"The commercial name of a specific device, including the series name and serial number.\",\\n\"brand\": \"The name of the manufacturing company (brand) responsible for the release of the device.\",\\n\"screen_size\": \"The diagonal size of the device\\'s display, represented as a decimal. Unit of measurement: inches.\",\\n\"ram_gb\": \"The amount of RAM available for the system and applications. Unit of measurement: gigabytes (GB).\",\\n\"battery_mah\": \"The electrical capacity of the device\\'s battery, which determines the battery life. Unit of measurement: milliampere-hours (mAh).\"\\n}\\n\\n\\n######################\\n-Real Data-\\n######################\\n
          \\n######################\\nOutput:\\n'}]}]" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "system = ModelMessageDict(role='system')\n", + "system.add_text_content(system_prompt)\n", + "user = ModelMessageDict(role='user')\n", + "user.add_text_content(system_prompt+prompt.format(input_text=dataset[14]['semtab_xml_attributes_exampples_description_top1_tresh50']))\n", + "arr = [user]\n", + "arr" ] }, { "cell_type": "code", "execution_count": null, - "id": "c8a5c61e-f3b6-4e62-ba85-7324422d0d31", + "id": "8730577e-d5e1-4aff-a851-45201521c90d", "metadata": {}, "outputs": [], "source": [ - "\n", - "count = 0\n", - "corrects_sep = 0\n", - "corrects_sem = 0\n", - "for entry in tqdm(dataset):\n", - " total += 1\n", - " df = pd.read_csv(StringIO(entry['table_text']), delimiter='#')\n", - " success,response_sep = send_message(f'{entry[\"statement\"]} {entry[\"nlsep_query\"]}',\n", - " system_prompt=system_prompt)\n", - " if success:\n", - " pandas_eval = str(bool(eval(response_sep)))\n", - " if str(bool(entry['label'])) == str(pandas_eval):\n", - " corrects_sep += 1\n", - " else:\n", - " print(response_sep)\n", - "\n", - " success,response_sem = send_message(f'{entry[\"statement\"]} {entry[\"semtab_query\"]}',\n", - " system_prompt=system_prompt)\n", - " if success:\n", - " pandas_eval = str(bool(eval(response_sem)))\n", - " if str(bool(entry['label'])) == str(pandas_eval):\n", - " response_sem += 1\n", - " else:\n", - " print(corrects_sem)\n", - "\n", - "print(corrects, total, corrects / total)" + "python add_to_tabfact_serialize_table.py --inputdata pantab_fact_train --outputdata pantab_fact_train_defgen --conf-file convert_config_semantic_test.yaml > pantabfact_defgen_log.txt" ] }, { "cell_type": "code", - "execution_count": 76, - "id": "620fb46c-42bb-4e30-b273-5a5621cd0dcb", + "execution_count": 123, + "id": "ce24284d-0654-4441-93a3-8cc04e7d9350", "metadata": {}, "outputs": [], "source": [ "import re\n", + "import json\n", "\n", - "def parse_panda_code(input_string):\n", - " \"\"\"\n", - " Парсит строку и извлекает код, который находится внутри конструкции \"PANDA\": <код>\n", - " Поддерживает различные форматы: JSON, простой текст, Markdown\n", - " \n", - " Args:\n", - " input_string (str): Входная строка для парсинга\n", - " \n", - " Returns:\n", - " str: Извлеченный код или пустая строка, если код не найден\n", - " \"\"\"\n", - " # Сначала попробуем найти JSON объект с PANDA\n", - " json_pattern = r'\\{[^{}]*PANDA\":\\s*(.+?)(?:\\n|$)?\\}'\n", - " json_match = re.search(json_pattern, input_string, re.DOTALL)\n", - " code = None\n", - " pattern = r'\"PANDA\":\\s*(.+?)(?:\\n|$)'\n", - " if json_match:\n", - " code = json_match.group(1).strip()\n", - " else:\n", - " match = re.search(pattern, input_string, re.DOTALL)\n", - " if match:\n", - " # Извлекаем код и убираем лишние пробелы по краям\n", - " code = match.group(1).strip()\n", - " # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON\n", + "def extract_json_from_text(text):\n", + " # Ищем первую открывающую фигурную (объект) или квадратную (массив) скобку\n", + " match = re.search(r'\\{|$$', text)\n", + " if not match:\n", + " return None\n", "\n", - " # Если JSON не найден или не распарсился, используем старый метод\n", - " # Паттерн для поиска кода после \"PANDA\": \n", - " # Ищет \"PANDA\": за которым следует пробел, затем код до конца строки или до следующего символа\n", - " if code != None:\n", - " # Убираем возможные кавычки вокруг кода\n", - " if code.startswith('\"') and code.endswith('\"'):\n", - " code = code[1:-1]\n", - " elif code.startswith(\"'\") and code.endswith(\"'\"):\n", - " code = code[1:-1]\n", - " \n", - " return code\n", - " \n", - " return \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "id": "efdca526-99b9-4e16-bbde-6b1efc5514a8", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Here is a single-line pandas expression that checks if Haroldo is mentioned as a Brazil scorer for two different games:\n", - "\n", - "```json\n", - "\"PANDA\": \"df['brazil scorers'].apply(lambda x: 'haroldo' in x.split(', ')).sum() >= 2\"\n", - "```\n", - "\n", - "This expression splits the 'brazil scorers' column into a list of scorers for each game, checks if 'haroldo' is in the list, and then sums up the True values to see if he is mentioned as a scorer for at least two games.\n", - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" - ] - } - ], - "source": [ - "corrects_sep = 0\n", + " # Отрезаем весь текст до начала JSON\n", + " json_start = match.start()\n", + " potential_json = text[json_start:]\n", "\n", - "df = pd.read_csv(StringIO(dataset[0]['table_text']), delimiter='#')\n", - "success,response_sep = send_message(f'{dataset[0][\"statement\"]} {dataset[0][\"nlsep_query\"]}',\n", - " system_prompt=system_prompt)\n", - "if success:\n", - " pandas_eval = str(bool(eval(parse_panda_code(response_sep))))\n", - " if str(bool(dataset[0]['label'])) == str(pandas_eval):\n", - " corrects_sep += 1\n", + " decoder = json.JSONDecoder()\n", + " try:\n", + " # raw_decode читает JSON и возвращает сам объект и индекс, где он закончился\n", + " obj, index = decoder.raw_decode(potential_json)\n", + " return obj\n", + " except json.JSONDecodeError as e:\n", + " print(f\"Ошибка парсинга JSON: {e}\")\n", + " return None\n", + "\n", + "\n", + "def extract_json_from_text(text: str):\n", + " \"\"\"\n", + " Извлекает и парсит JSON из текстового ответа модели.\n", + " \"\"\"\n", + " # 1. Сначала ищем внутри блоков ```json ... ``` или просто ``` ... ```\n", + " # Используем нежадный поиск (.*?), чтобы найти первый закрывающий блок\n", + " match = re.search(r\"<\\/think>\",text)\n", + " json_start = match.start()\n", + " potential_json = text[json_start:]\n", + " match = re.search(r\"```(?:json)?\\s*(.*?)\\s*```\", potential_json, re.DOTALL | re.IGNORECASE)\n", + " #print(potential_json)\n", + " if match:\n", + " json_str = match.group(1)\n", " else:\n", - " print(response_sep)\n", + " # 2. Если блоков нет, ищем просто от первой { или [ до последней } или ]\n", + " # Используем жадный поиск (.*), чтобы захватить весь объект целиком\n", + " match = re.search(r\"(\\{.*\\}|$$.*$$)\", potential_json, re.DOTALL)\n", + " if match:\n", + " json_str = match.group(1)\n", + " else:\n", + " raise ValueError(\"JSON не найден в тексте.\")\n", "\n", - "success,response_sem = send_message(f'{dataset[0][\"statement\"]} {dataset[0][\"semtab_query\"]}',\n", - " system_prompt=system_prompt)" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "f118aad5-82e2-4fc2-ae51-de2c86a29a9b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "```json\n", - "\"PANDA\": \"df['brazil scorers'].str.contains('haroldo', na=False).sum() > 1\"\n", - "```\n", - "This code checks if 'haroldo' is mentioned as a Brazil scorer for more than 1 game. It uses the str.contains method to check if 'haroldo' is present in the 'brazil scorers' column and then sums up the number of True values, indicating how many games 'haroldo' scored for Brazil.\n", - "\n" - ] - } - ], - "source": [ - "print(response_sep)" + " # Пытаемся распарсить найденную строку\n", + " try:\n", + " #print(json_str)\n", + " return json.loads(json_str)\n", + " except json.JSONDecodeError as e:\n", + " raise ValueError(f\"Найден текст, похожий на JSON, но он не валиден: {e}\\nТекст: {json_str[:100]}...\")\n" ] }, { "cell_type": "code", - "execution_count": 43, - "id": "a32f7bcc-3a89-4aeb-9475-319bb6bb5bf4", + "execution_count": 86, + "id": "0ae8946e-4e5f-4e9a-a821-fda17a360d7b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "1" + "SyncPage[Model](data=[Model(id='deepseek-ai/deepseek-coder-7b-instruct-v1.5', created=1774417960, object='model', owned_by='vllm', root='deepseek-ai/deepseek-coder-7b-instruct-v1.5', parent=None, max_model_len=4096, permission=[{'id': 'modelperm-7dab0988f92746fbb9b3aa09e568215b', 'object': 'model_permission', 'created': 1774417960, 'allow_create_engine': False, 'allow_sampling': True, 'allow_logprobs': True, 'allow_search_indices': False, 'allow_view': True, 'allow_fine_tuning': False, 'organization': '*', 'group': None, 'is_blocking': False}])], object='list')" ] }, - "execution_count": 43, + "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dataset[0]['label']" + "base_url = \"http://127.0.0.1:9123/v1\"\n", + "api_key = \"EMPTY\"\n", + "client = OpenAI(api_key=api_key, base_url=base_url)\n", + "client.models.list()" ] }, { "cell_type": "code", - "execution_count": 44, - "id": "0586c6e6-6dc8-4f9c-a06b-75da101ab92f", + "execution_count": 90, + "id": "aae9eadb-fc26-423b-ab6a-b6748076751a", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'True'" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "str(bool(eval(parse_panda_code(response_sep))))" + "import requests\n", + "\n", + "response = requests.post(\n", + " \"http://localhost:9092/tokenize\",\n", + " json={\n", + " \"model\": \"deepseek-ai/deepseek-coder-7b-instruct-v1.5\", # e.g., \"meta-llama/Llama-2-7b-chat-hf\"\n", + " \"prompt\": \"This is a test prompt to tokenize.\"\n", + " }\n", + ")" ] }, { "cell_type": "code", - "execution_count": 45, - "id": "98ade5a1-b7ca-47b8-86ad-57c4ce108f41", + "execution_count": 91, + "id": "27ccc44d-c2e6-418e-a3d6-b3d108216616", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "\"df['brazil scorers'].str.contains('haroldo', na=False).sum() > 1\"" + "{'count': 11,\n", + " 'max_model_len': 4096,\n", + " 'tokens': [100000, 1567, 317, 1418, 245, 1727, 9137, 276, 10728, 945, 13],\n", + " 'token_strs': None}" ] }, - "execution_count": 45, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "parse_panda_code(response_sep)" + "response.json()" ] }, { "cell_type": "code", - "execution_count": 90, - "id": "1d2be3be-9d74-4492-9b80-27253c56c4c9", - "metadata": {}, + "execution_count": 197, + "id": "83a89b45-4f13-454e-801c-3b6399f2fa89", + "metadata": { + "scrolled": true + }, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "{\n", + " \"player\": \"The proper name of a rugby player, presented as a text string.\",\n", + " \"span\": \"Time period of player participation, indicated by a hyphen separating start and end years (e.g., '2002 - 2009'; trailing dash denotes ongoing period).\",\n", + " \"start\": \"Number of matches started by the player (integer).\",\n", + " \"tries\": \"Number of tries scored by the player (integer).\",\n", + " \"conv\": \"Number of successful conversion kicks (integer).\",\n", + " \"pens\": \"Number of penalty kicks scored (integer).\",\n", + " \"drop\": \"Number of drop goals scored (integer).\"\n", + "}\n", + "{\n", + " \"player\": \"The proper name of a rugby player, presented as a text string.\",\n", + " \"span\": \"Time period of player participation, indicated by a hyphen separating start and end years (e.g., '2002 - 2009'; trailing dash denotes ongoing period).\",\n", + " \"start\": \"Number of matches started by the player (integer).\",\n", + " \"tries\": \"Number of tries scored by the player (integer).\",\n", + " \"conv\": \"Number of successful conversion kicks (integer).\",\n", + " \"pens\": \"Number of penalty kicks scored (integer).\",\n", + " \"drop\": \"Number of drop goals scored (integer).\"\n", + "}\n" + ] + }, { "data": { "text/plain": [ - "np.False_" + "{'player': 'The proper name of a rugby player, presented as a text string.',\n", + " 'span': \"Time period of player participation, indicated by a hyphen separating start and end years (e.g., '2002 - 2009'; trailing dash denotes ongoing period).\",\n", + " 'start': 'Number of matches started by the player (integer).',\n", + " 'tries': 'Number of tries scored by the player (integer).',\n", + " 'conv': 'Number of successful conversion kicks (integer).',\n", + " 'pens': 'Number of penalty kicks scored (integer).',\n", + " 'drop': 'Number of drop goals scored (integer).'}" ] }, - "execution_count": 90, + "execution_count": 197, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df['brazil scorers'].apply(lambda x: 'haroldo' in x.split(', ')).sum() >= 2" + "extract_json_from_text(res[0])" ] }, { "cell_type": "code", - "execution_count": 82, - "id": "ac5ce16e-9647-4c24-aa90-8b6214e43950", - "metadata": {}, + "execution_count": 130, + "id": "5d3422ab-4c55-4724-9683-86976b9a07fe", + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "```json\n", - "\"PANDA\": \"df['brazil scorers'].apply(lambda x: 'haroldo' in x.split(',')).sum() > 1\"\n", - "```\n", - "This code checks if 'haroldo' is mentioned as a scorer for more than one game in the 'brazil scorers' column of the DataFrame.\n", - "\n" + "Generating content with model: repanda\n" ] } ], "source": [ - "print(response_sem)" + "suc,res = send_messasge(arr,model_name='repanda',base_url = \"http://127.0.0.1:9123/v1\")\n", + "#extract_json_from_text(res[0])" ] }, { "cell_type": "code", - "execution_count": 83, - "id": "856f16fe-9337-4aa4-acdb-927131a15e74", + "execution_count": 131, + "id": "d4b088a0-abaf-49dd-b950-f731d37d9c9a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0\n" + "{\n", + " \"player\": \"The name of a player.\",\n", + " \"position\": \"The position the player holds in a sports team (for example, 'goalkeeper', 'defender', 'midfielder', 'forward').\",\n", + " \"ekstraklasa\": \"The number of cups won in the Ekstraklasa (Polish football division) by the player's team.\",\n", + " \"polish cup\": \"The number of cups won in the Polish Cup by the player's team (for example, 0 - not won, 0 - won).\",\n", + " \"uefa cup\": \"The number of cups won in the UEFA Cup by the player's team (for example, 0 - not won, 0 - won).\",\n", + " \"total\": \"The total number of cups won by the player's team in both the Ekstraklasa and Polish Cup.\"\n", + "}\n" ] } ], "source": [ - "corrects_sem = 0\n", - "if success:\n", - " pandas_eval = str(bool(eval(parse_panda_code(response_sem))))\n", - " if str(bool(dataset[0]['label'])) == str(parse_panda_code(pandas_eval)):\n", - " corrects_sem += 1\n", - " else:\n", - " print(corrects_sem)" + "print(res[0])" ] }, { "cell_type": "code", - "execution_count": 77, - "id": "1ac4255a-9303-4b33-a7c6-73bab5846f85", + "execution_count": null, + "id": "d3400f6d-62c9-43a3-b365-ae101b97d607", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\"df['brazil scorers'].str.contains('haroldo', na=False).sum() > 1\"" - ] - }, - "execution_count": 77, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "parse_panda_code(response_sem)" + "import re" ] }, { "cell_type": "code", - "execution_count": 65, - "id": "7be4007e-50f2-4b3e-95da-646d82fd145f", + "execution_count": 95, + "id": "86e36dc2-e575-45b2-a6fa-4300e4f39e9d", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "'Here is the single-line pandas expression based on the given statement:\\n\\n```json\\n{\"PANDA\": \"df[\\'brazil scorers\\'].str.contains(\\'haroldo\\', na=False).sum() > 1\"}\\n```\\n\\nThis expression checks if \\'haroldo\\' is mentioned as a Brazil scorer for more than 1 game in the \\'brazil scorers\\' column of the DataFrame df.\\n'" - ] - }, - "execution_count": 65, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "Количество токенов: 21\n" + ] } ], "source": [ - "response_sem" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "id": "6f513eeb-8a61-4994-8e97-fb9fd174d2a4", - "metadata": {}, - "outputs": [], - "source": [ - "pattern = r'\"PANDA\":\\s*(.+?)(?:\\n|$)'\n", + "import requests\n", + "\n", + "class VLLMTokenizerWrapper:\n", + " \"\"\"\n", + " Обертка для подсчета токенов через VLLM OpenAPI endpoint.\n", + " Эмулирует метод num_tokens() стандартного tokenizer.\n", + " \"\"\"\n", " \n", - " # Используем поиск с флагом re.DOTALL для работы с многострочным кодом\n", - "match = re.search(pattern, '''Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Here is a Python pandas code snippet that checks if Haroldo is mentioned as a Brazil scorer for more than one game:\n", - "```json\n", - "\"PANDA\": \"df['brazil scorers'].str.contains('Haroldo', na=False).sum() > 1\"\n", - "```\n", - "This code uses the pandas `str.contains` method to check if 'Haroldo' is in the 'brazil scorers' column. The `na=False` parameter ensures that NaN values are not considered as matches. The `sum()` method is then used to count the number of True values returned by the `contains` method, which corresponds to the number of times 'Haroldo' is mentioned as a Brazil scorer. The result is checked if it's greater than 1.''',\n", - " re.DOTALL)" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "id": "93406b43-2aca-4032-981a-45694798cb58", - "metadata": {}, - "outputs": [], - "source": [ - "code = match.group(1).strip()" + " def __init__(\n", + " self,\n", + " base_url: str = \"http://127.0.0.1:9092/tokenize\",\n", + " api_key: str = \"EMPTY\",\n", + " model_name: str = \"deepseek-ai/deepseek-coder-7b-instruct-v1.5\"\n", + " ):\n", + " self.base_url = base_url\n", + " self.model_name = model_name\n", + " \n", + " \n", + " def num_tokens(self, text: str) -> int:\n", + " \"\"\"\n", + " Подсчитывает количество токенов в тексте через VLLM tokenize endpoint.\n", + " \"\"\"\n", + " try:\n", + " response = requests.post(\n", + " self.base_url,\n", + " json={\n", + " \"model\": self.model_name, # e.g., \"meta-llama/Llama-2-7b-chat-hf\"\n", + " \"prompt\": text\n", + " }\n", + " )\n", + " # vLLM возвращает список токенов в ключе 'tokens' или 'token_ids'\n", + " # В зависимости от версии vLLM структура может немного отличаться,\n", + " # но token_ids надежнее, так как это всегда список ID.\n", + " \n", + " return response.json()['count']\n", + " \n", + " except Exception as e:\n", + " print(f\"Ошибка подсчета токенов: {str(e)}\")\n", + " # Fallback: грубая оценка (4 символа ≈ 1 токен)\n", + " return len(text) // 4 + 1\n", + "\n", + "# Проверка\n", + "tokenizer = VLLMTokenizerWrapper()\n", + "count = tokenizer.num_tokens(\"Привет, это тестовый текст для проверки токенизации!\")\n", + "print(f\"Количество токенов: {count}\")\n" ] }, { "cell_type": "code", - "execution_count": 68, - "id": "1cc3b8b0-cf12-439f-8f3f-d8e6b39cc13d", + "execution_count": 64, + "id": "d6808dbd-679d-431d-b8ca-0418d69fd73e", "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ошибка подсчета токенов: Error code: 404 - {'detail': 'Not Found'}\n" + ] + }, { "data": { "text/plain": [ - "'\"df[\\'brazil scorers\\'].str.contains(\\'Haroldo\\', na=False).sum() > 1\"'" + "2" ] }, - "execution_count": 68, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "code" + "tokenizer = VLLMTokenizerWrapper()\n", + "tokenizer.num_tokens('text')" ] }, { "cell_type": "code", - "execution_count": 73, - "id": "ad438ab7-8c4a-4d5b-ac87-321e210c5c69", + "execution_count": 102, + "id": "a6cac5f8-f02c-44a8-9734-3a2b67b62f81", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: Qwen/Qwen3-VL-32B-Instruct\n", + "Failed to call LLM: Error code: 422 - {'detail': [{'type': 'list_type', 'loc': ['body', 'messages', 'content'], 'msg': 'Input should be a valid list', 'input': 'You\\'re an expert linguist. You are provided with a table schema with a description in XML format.\\nYour task is to analyze the tabular context and, based on the information received, give a brief but semantically succinct definition for each HEADER, \\nits format features (how to interpret signs, abbreviations, or complex strings, such as \"A - B\"). \\nIf there are units of measurement in the EXAMPLES, then include them in the answer. \\n\\nThe output must be in json in the dictionary format {
          :
          }.\\n\\n######################\\n-Examples-\\n######################\\nExample 1:\\n\\n
          \\n
          \\n
          \\n
          \\n
          \\n
          \\n######################\\nOutput:\\n{\\n \"planet\": \"Имя собственное небесного тела в Солнечной системе, представленное в текстовом формате.\",\\n \"type\": \"Классификация планеты по ее физическому и химическому составу (например, \\'terrestrial\\' — каменистая или \\'gas giant\\' — газовый гигант).\",\\n \"moons\": \"Количественный показатель, обозначающий общее число подтвержденных естественных спутников планеты (целое число).\",\\n \"diameter_km\": \"Экваториальный диаметр небесного тела, выраженный в числовом значении. Единица измерения: километры (км).\",\\n \"gravity_ms2\": \"Ускорение свободного падения на поверхности планеты. Единица измерения: метры на секунду в квадрате ($$m/s^2$$).\"\\n}\\n######################\\nExample 2:\\n\\n
          \\n
          \\n
          \\n######################\\nOutput:\\n{\\n \"title\": \"Официальное название литературного произведения, записанное в текстовом виде.\",\\n \"author\": \"Имя и фамилия автора (создателя) произведения, представленные в виде строки.\",\\n}\\n######################\\nExample 3:\\n\\n
          \\n
          \\n
          \\n
          \\n
          \\n
          \\n######################\\nOutput:\\n{\\n \"model\": \"Коммерческое наименование конкретного устройства, включающее название серии и порядковый номер.\",\\n \"brand\": \"Название компании-производителя (бренда), ответственной за выпуск устройства.\",\\n \"screen_size\": \"Размер диагонали дисплея устройства, представленный в виде десятичной дроби. Единица измерения: дюймы.\",\\n \"ram_gb\": \"Объем оперативной памяти, доступной для работы системы и приложений. Единица измерения: гигабайты (GB).\",\\n \"battery_mah\": \"Электрическая емкость аккумулятора устройства, определяющая время автономной работы. Единица измерения: миллиампер-часы (mAh).\"\\n}\\n\\n\\n######################\\n-Real Data-\\n######################\\n
          \\n######################\\nOutput:\\n'}]}\n" + ] + }, + { + "ename": "KeyError", + "evalue": "'error'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mUnprocessableEntityError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[94], line 49\u001b[0m, in \u001b[0;36msend_messasge\u001b[0;34m(messages, base_url, api_key, model_name, **kwargs)\u001b[0m\n\u001b[1;32m 47\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGenerating content with model: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,)\n\u001b[0;32m---> 49\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompletions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 50\u001b[0m \u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 51\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 52\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mget_kwargs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompletions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 53\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 55\u001b[0m cleaned_responses \u001b[38;5;241m=\u001b[39m []\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/openai/_utils/_utils.py:286\u001b[0m, in \u001b[0;36mrequired_args..inner..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 285\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[0;32m--> 286\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/openai/resources/chat/completions/completions.py:1189\u001b[0m, in \u001b[0;36mCompletions.create\u001b[0;34m(self, messages, model, audio, frequency_penalty, function_call, functions, logit_bias, logprobs, max_completion_tokens, max_tokens, metadata, modalities, n, parallel_tool_calls, prediction, presence_penalty, prompt_cache_key, prompt_cache_retention, reasoning_effort, response_format, safety_identifier, seed, service_tier, stop, store, stream, stream_options, temperature, tool_choice, tools, top_logprobs, top_p, user, verbosity, web_search_options, extra_headers, extra_query, extra_body, timeout)\u001b[0m\n\u001b[1;32m 1188\u001b[0m validate_response_format(response_format)\n\u001b[0;32m-> 1189\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_post\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1190\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/chat/completions\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1191\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmaybe_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1192\u001b[0m \u001b[43m \u001b[49m\u001b[43m{\u001b[49m\n\u001b[1;32m 1193\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmessages\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1194\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1195\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43maudio\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43maudio\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1196\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfrequency_penalty\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfrequency_penalty\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1197\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfunction_call\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunction_call\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1198\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfunctions\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunctions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1199\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mlogit_bias\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogit_bias\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1200\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mlogprobs\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogprobs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1201\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmax_completion_tokens\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_completion_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1202\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmax_tokens\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1203\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmetadata\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1204\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmodalities\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodalities\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1205\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mn\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1206\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mparallel_tool_calls\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mparallel_tool_calls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1207\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprediction\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mprediction\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1208\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpresence_penalty\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mpresence_penalty\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1209\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprompt_cache_key\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mprompt_cache_key\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1210\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprompt_cache_retention\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mprompt_cache_retention\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1211\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mreasoning_effort\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mreasoning_effort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1212\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mresponse_format\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mresponse_format\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1213\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msafety_identifier\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43msafety_identifier\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1214\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mseed\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mseed\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1215\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mservice_tier\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mservice_tier\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1216\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstop\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1217\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstore\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1218\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstream\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1219\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstream_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1220\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtemperature\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtemperature\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1221\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtool_choice\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtool_choice\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1222\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtools\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtools\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1223\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtop_logprobs\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_logprobs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1224\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtop_p\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_p\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1225\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43muser\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43muser\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1226\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mverbosity\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbosity\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1227\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mweb_search_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mweb_search_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1228\u001b[0m \u001b[43m \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1229\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompletion_create_params\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mCompletionCreateParamsStreaming\u001b[49m\n\u001b[1;32m 1230\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\n\u001b[1;32m 1231\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mcompletion_create_params\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mCompletionCreateParamsNonStreaming\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1232\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1233\u001b[0m \u001b[43m \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmake_request_options\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1234\u001b[0m \u001b[43m \u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_query\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_query\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_body\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_body\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\n\u001b[1;32m 1235\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1236\u001b[0m \u001b[43m \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mChatCompletion\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1237\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 1238\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mStream\u001b[49m\u001b[43m[\u001b[49m\u001b[43mChatCompletionChunk\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1239\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/openai/_base_client.py:1259\u001b[0m, in \u001b[0;36mSyncAPIClient.post\u001b[0;34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[0m\n\u001b[1;32m 1256\u001b[0m opts \u001b[38;5;241m=\u001b[39m FinalRequestOptions\u001b[38;5;241m.\u001b[39mconstruct(\n\u001b[1;32m 1257\u001b[0m method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpost\u001b[39m\u001b[38;5;124m\"\u001b[39m, url\u001b[38;5;241m=\u001b[39mpath, json_data\u001b[38;5;241m=\u001b[39mbody, files\u001b[38;5;241m=\u001b[39mto_httpx_files(files), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions\n\u001b[1;32m 1258\u001b[0m )\n\u001b[0;32m-> 1259\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m cast(ResponseT, \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m)\u001b[49m)\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/openai/_base_client.py:1047\u001b[0m, in \u001b[0;36mSyncAPIClient.request\u001b[0;34m(self, cast_to, options, stream, stream_cls)\u001b[0m\n\u001b[1;32m 1046\u001b[0m log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRe-raising status error\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 1047\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_make_status_error_from_response(err\u001b[38;5;241m.\u001b[39mresponse) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1049\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n", + "\u001b[0;31mUnprocessableEntityError\u001b[0m: Error code: 422 - {'detail': [{'type': 'list_type', 'loc': ['body', 'messages', 'content'], 'msg': 'Input should be a valid list', 'input': 'You\\'re an expert linguist. You are provided with a table schema with a description in XML format.\\nYour task is to analyze the tabular context and, based on the information received, give a brief but semantically succinct definition for each HEADER, \\nits format features (how to interpret signs, abbreviations, or complex strings, such as \"A - B\"). \\nIf there are units of measurement in the EXAMPLES, then include them in the answer. \\n\\nThe output must be in json in the dictionary format {
          :
          }.\\n\\n######################\\n-Examples-\\n######################\\nExample 1:\\n\\n
          \\n
          \\n
          \\n
          \\n
          \\n
          \\n######################\\nOutput:\\n{\\n \"planet\": \"Имя собственное небесного тела в Солнечной системе, представленное в текстовом формате.\",\\n \"type\": \"Классификация планеты по ее физическому и химическому составу (например, \\'terrestrial\\' — каменистая или \\'gas giant\\' — газовый гигант).\",\\n \"moons\": \"Количественный показатель, обозначающий общее число подтвержденных естественных спутников планеты (целое число).\",\\n \"diameter_km\": \"Экваториальный диаметр небесного тела, выраженный в числовом значении. Единица измерения: километры (км).\",\\n \"gravity_ms2\": \"Ускорение свободного падения на поверхности планеты. Единица измерения: метры на секунду в квадрате ($$m/s^2$$).\"\\n}\\n######################\\nExample 2:\\n\\n
          \\n
          \\n
          \\n######################\\nOutput:\\n{\\n \"title\": \"Официальное название литературного произведения, записанное в текстовом виде.\",\\n \"author\": \"Имя и фамилия автора (создателя) произведения, представленные в виде строки.\",\\n}\\n######################\\nExample 3:\\n\\n
          \\n
          \\n
          \\n
          \\n
          \\n
          \\n######################\\nOutput:\\n{\\n \"model\": \"Коммерческое наименование конкретного устройства, включающее название серии и порядковый номер.\",\\n \"brand\": \"Название компании-производителя (бренда), ответственной за выпуск устройства.\",\\n \"screen_size\": \"Размер диагонали дисплея устройства, представленный в виде десятичной дроби. Единица измерения: дюймы.\",\\n \"ram_gb\": \"Объем оперативной памяти, доступной для работы системы и приложений. Единица измерения: гигабайты (GB).\",\\n \"battery_mah\": \"Электрическая емкость аккумулятора устройства, определяющая время автономной работы. Единица измерения: миллиампер-часы (mAh).\"\\n}\\n\\n\\n######################\\n-Real Data-\\n######################\\n
          \\n######################\\nOutput:\\n'}]}", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[102], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43msend_messasge\u001b[49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrole\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43muser\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcontent\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43msystem_prompt\u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43mprompt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mformat\u001b[49m\u001b[43m(\u001b[49m\u001b[43minput_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdataset\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m14\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43msemtab_xml_attributes_exampples_description_top1_tresh50\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mQwen/Qwen3-VL-32B-Instruct\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mbase_url\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mhttp://127.0.0.1:8888/v1\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[94], line 72\u001b[0m, in \u001b[0;36msend_messasge\u001b[0;34m(messages, base_url, api_key, model_name, **kwargs)\u001b[0m\n\u001b[1;32m 70\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(e, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mresponse\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[1;32m 71\u001b[0m error_info \u001b[38;5;241m=\u001b[39m e\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mjson() \n\u001b[0;32m---> 72\u001b[0m code_value \u001b[38;5;241m=\u001b[39m \u001b[43merror_info\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43merror\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcode\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28mprint\u001b[39m(code_value)\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "\u001b[0;31mKeyError\u001b[0m: 'error'" + ] + } + ], + "source": [ + "send_messasge({\"role\": \"user\",\"content\": system_prompt+prompt.format(input_text=dataset[14]['semtab_xml_attributes_exampples_description_top1_tresh50'])},\n", + " model_name='Qwen/Qwen3-VL-32B-Instruct',base_url = \"http://127.0.0.1:8888/v1\")" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "fc55cb5a-5edc-4a45-aec4-0a55cc432220", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: Qwen/Qwen3-VL-32B-Instruct\n" + ] + } + ], + "source": [ + "# 1. Склеиваем весь текст в одну большую строку\n", + "final_text = system_prompt + prompt.format(\n", + " input_text=dataset[14]['semtab_xml_attributes_exampples_description_top1_tresh50']\n", + ")\n", + "\n", + "# 2. НЕСТАНДАРТНЫЙ ФОРМАТ СПЕЦИАЛЬНО ДЛЯ ТВОЕГО СЕРВЕРА\n", + "# messages - это СЛОВАРЬ (без квадратных скобок снаружи)\n", + "# content - это СПИСОК (с квадратными скобками внутри)\n", + "custom_messages = {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\n", + " \"type\": \"text\",\n", + " \"text\": final_text\n", + " }\n", + " ]\n", + "}\n", + "\n", + "# 3. Отправляем запрос\n", + "success, responses = send_messasge(\n", + " messages=custom_messages, # Передаем словарь, как того требует сервер\n", + " model_name='Qwen/Qwen3-VL-32B-Instruct',\n", + " base_url=\"http://127.0.0.1:8888/v1\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "27e1247f-1438-4f84-88b8-ce3f4e98ff7d", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "We are given a table description: \"united states national rugby union team\"\n", + " The headers and examples are:\n", + " player: examples = [\"todd clever\", \"philip eloff\", \"mike hercus\"]\n", + " span: examples = [\"2002 - 2009\", \"2003 -\", \"1992 - 2000\"]\n", + " start: examples = [28, 34, 45]\n", + " tries: examples = [9, 10, 11]\n", + " conv: examples = [0, 0, 0]\n", + " pens: examples = [0, 0, 0]\n", + " drop: examples = [1, 0, 0]\n", + "\n", + " We are to define each header in Russian, with:\n", + " - a brief but semantically succinct definition\n", + " - format features (if any, such as how to interpret signs, abbreviations, complex strings)\n", + " - if there are units of measurement in the examples, include them\n", + "\n", + " Steps for each header:\n", + "\n", + " 1. \"player\":\n", + " - Examples: names of players (in lowercase, but that's just representation; they are proper names)\n", + " - Definition: The name of the rugby player (first and last name) who is a member of the US national team.\n", + " - Format: Text string, typically in the format \"first name last name\" (as seen in the examples).\n", + "\n", + " 2. \"span\":\n", + " - Examples: \"2002 - 2009\", \"2003 -\", \"1992 - 2000\"\n", + " - This represents the time period during which the player was active on the national team.\n", + " - Format: A string in the format \"start_year - end_year\", where end_year might be omitted (as in \"2003 -\") to indicate the player is still active (or the data was current up to the time of the table).\n", + " - Note: The dash is a separator and the years are in the format of four-digit years.\n", + "\n", + " 3. \"start\":\n", + " - Examples: [28, 34, 45] (all integers)\n", + " - In rugby, \"start\" likely refers to the number of matches started (i.e., the number of games the player started as a starter).\n", + " - Unit: Count (no specific unit, but it's a count of matches). However, note that in the context of rugby, it is a count of appearances as a starter? But the header is \"start\", so we must be cautious.\n", + "\n", + " However, looking at rugby statistics:\n", + " - \"Starts\" in rugby usually means the number of matches in which the player started (i.e., was in the starting lineup).\n", + "\n", + " But note: in the examples, the values are 28, 34, 45. So we can say:\n", + " \"Количество матчей, в которых игрок начинал игру (т.е. был в стартовой линейке).\"\n", + "\n", + " However, let's check the other headers: tries, conv, pens, drop are all known rugby statistics.\n", + "\n", + " 4. \"tries\":\n", + " - Examples: [9, 10, 11] (integers)\n", + " - In rugby, a \"try\" is a method of scoring (4 points). So this is the total number of tries scored by the player.\n", + " - Definition: \"Количество заработанных очков за счет 'tries' (в рэгби 'try' — это вид гола, который приносит 5 очков? Actually, note: in rugby union, a try is worth 5 points, but the term \"try\" refers to the action). However, the header is \"tries\", so it's the count of tries (the scoring action).\"\n", + "\n", + " But wait: the value is the count of tries (the number of times the player scored a try). So we say:\n", + " \"Количество забитых 'tries' (в рэгби 'try' — это действие, при котором игрок перебрасывает мяч через линию ворот соперника, принося 5 очков).\"\n", + "\n", + " However, note that the problem says \"brief but semantically succinct\". So we can say:\n", + " \"Количество забитых 'tries' (вид гола в рэгби, оцениваемый в 5 очков).\"\n", + "\n", + " But actually, the header is \"tries\", meaning the count. So the unit is the count (no physical unit, but we can say \"количество\").\n", + "\n", + " 5. \"conv\":\n", + " - Examples: [0, 0, 0] (integers)\n", + " - In rugby, \"conv\" is short for \"conversion\" (a kick after a try to score 2 points). \n", + " - Definition: \"Количество конверсий (после 'try' игрок может попытаться забить конверсионный удар, который приносит 2 очка).\"\n", + "\n", + " 6. \"pens\":\n", + " - Examples: [0, 0, 0] (integers)\n", + " - \"pens\" is short for \"penalties\" (a kick for a penalty, worth 3 points).\n", + " - Definition: \"Количество пенальти (ударов по воротам за нарушение, приносящих 3 очка).\"\n", + "\n", + " 7. \"drop\":\n", + " - Examples: [1, 0, 0] (integers)\n", + " - \"drop\" is short for \"drop goal\" (a drop kick for goal, worth 3 points).\n", + " - Definition: \"Количество дроп-голов (ударов, выполненных после падения мяча, приносящих 3 очка).\"\n", + "\n", + " Now, note: the problem says to write the definition in Russian and to include units if present.\n", + "\n", + " For the headers that are counts (start, tries, conv, pens, drop), the unit is \"count\" (количество) and we don't have a physical unit (like meters, seconds) but we are counting events. However, we can note that they are integer counts.\n", + "\n", + " But note the examples: they are integers. So we can say \"целое число\" (integer number) for the format.\n", + "\n", + " However, the instructions say: \"if there are units of measurement in the EXAMPLES, then include them\". In the examples, the numbers for start, tries, etc. are just counts, so no physical unit (like km, m/s^2). But in the context of rugby, we can say that the values are counts (without a physical unit, but they are numbers of events).\n", + "\n", + " But looking at the examples in the provided examples (like Example 3: \"screen_size\" has unit \"inches\"), we see that when the unit is clear from the context (e.g., in the header name) we state it. However, for counts, we don't have a unit. So we just say \"количество\".\n", + "\n", + " However, note that in the output of Example 1, for \"moons\" it says \"целое число\" and for \"diameter_km\" it says \"Единица измерения: километры (км)\".\n", + "\n", + " For the count headers, we don't have a unit in the examples (they are just numbers) but we know they are counts. So we can write:\n", + "\n", + " \"start\": \"Количество матчей, в которых игрок начинал игру (стартовал). Целое число.\"\n", + "\n", + " But note: the problem says \"if there are units of measurement in the EXAMPLES\". Since the examples for \"start\" are just numbers (28, 34, 45) without any unit symbol (like \"28 matches\"), then we don't have a unit. However, the context (the header name) implies a count. So we don't need to specify a unit (like \"matches\") because the examples don't have a unit. But the problem says: \"if there are units of measurement in the EXAMPLES\" — meaning if the example string includes the unit, then we include it. In this case, the examples for the count headers are just numbers without unit.\n", + "\n", + " How did Example 1 handle \"moons\"? \n", + " \"moons\": \"Количественный показатель, обозначающий общее число подтвержденных естественных спутников планеты (целое число).\"\n", + "\n", + " So we can do similarly: for the count headers, we say \"целое число\" (which is the format feature) but without a unit (because the example doesn't have a unit).\n", + "\n", + " However, note: the example for \"diameter_km\" in Example 1 had the unit in the header name (with the suffix \"_km\") and the examples were numbers. So we had to state the unit. For \"moons\", the header name is \"moons\" and the examples are numbers without a unit, so we don't state a unit (we just say \"целое число\").\n", + "\n", + " Therefore, for our count headers:\n", + "\n", + " We will say: \"Количество [что-то]. Целое число.\"\n", + "\n", + " But note: the header name \"start\" is a bit ambiguous. In rugby, \"start\" in the context of a player's career usually means the number of matches started (i.e., the number of times the player was in the starting lineup). So:\n", + "\n", + " \"start\": \"Количество матчей, в которых игрок стартовал (был в стартовой линейке). Целое число.\"\n", + "\n", + " However, the problem says: \"brief but semantically succinct\". So we should be as concise as possible.\n", + "\n", + " Let's write the definitions:\n", + "\n", + " player: \n", + " \"Имя игрока (имя и фамилия) в формате текстовой строки.\"\n", + "\n", + " span:\n", + " \"Период участия игрока в составе национальной сборной. Формат: 'ГГГГ - ГГГГ' (где первая дата — начало, вторая — конец; если конец отсутствует, то игрок продолжает выступать).\"\n", + "\n", + " start:\n", + " \"Количество матчей, в которых игрок стартовал (был в стартовой линейке). Целое число.\"\n", + "\n", + " tries:\n", + " \"Количество забитых 'tries' (действие в рэгби, приносящее 5 очков). Целое число.\"\n", + "\n", + " conv:\n", + " \"Количество конверсий (ударов после 'try', приносящих 2 очка). Целое число.\"\n", + "\n", + " pens:\n", + " \"Количество пенальти (ударов за нарушение, приносящих 3 очка). Целое число.\"\n", + "\n", + " drop:\n", + " \"Количество дроп-голов (ударов после падения мяча, приносящих 3 очка). Целое число.\"\n", + "\n", + " But note: the examples for conv, pens, drop are 0,0,0 and 1,0,0. So the format is integer and non-negative.\n", + "\n", + " However, the problem says: \"if there are units of measurement in the EXAMPLES\" — in the examples for these headers, the numbers are without units (so no unit to include). But the context (the sport) tells us what they are. We don't have to state the points because the examples don't have the unit (they are just numbers). However, the definition of the statistic (like \"try\") is part of the description.\n", + "\n", + " But note: in the examples of the problem (Example 1) for \"diameter_km\", the unit was included because the header name had a suffix (and the examples were numbers without the unit, but the unit was known from the header). Similarly, in Example 3, the unit was taken from the header name (e.g., \"ram_gb\" -> \"гигабайты (GB)\").\n", + "\n", + " In our case, for the count headers, we don't have a unit (it's a count) and the examples are just numbers. So we don't include a unit (like \"matches\" or \"points\") because the examples don't have it. However, the problem says: \"if there are units of measurement in the EXAMPLES\" — meaning if the example string (like \"12756\" in the diameter example) is without the unit, but the context (the header name) implies a unit, then we include it? But in Example 1, for \"moons\", the header name is \"moons\" and the example is [1,2,95] — no unit. So they didn't include a unit for \"moons\". Similarly, for \"diameter_km\", the example was [12756, ...] without the unit, but the header name had \"km\", so they included the unit in the description.\n", + "\n", + " How about for \"start\"? The header name is \"start\" — it doesn't have a unit suffix. But we know from context that it's a count of matches. However, the examples are numbers without a unit. So we don't state a unit. We just say \"целое число\" (which is the format feature) and the definition is in terms of the event.\n", + "\n", + " So we stick to:\n", + "\n", + " For \"start\", \"tries\", etc.: we don't state a unit (because the examples are just numbers) but we describe the event.\n", + "\n", + " Now, let's write the definitions in Russian.\n", + "\n", + " Important: the output must be in a JSON dictionary in the format: {
          :
          }\n", + "\n", + " We'll write the descriptions in Russian, as in the examples.\n", + "\n", + " Let's do it:\n", + "\n", + " \"player\": \"Имя игрока (имя и фамилия) в формате текстовой строки.\",\n", + " \"span\": \"Период участия игрока в составе национальной сборной. Формат: 'ГГГГ - ГГГГ' (где первая дата — начало, вторая — конец; если конец отсутствует, то игрок продолжает выступать).\",\n", + " \"start\": \"Количество матчей, в которых игрок стартовал (был в стартовой линейке). Целое число.\",\n", + " \"tries\": \"Количество забитых 'tries' (действие в рэгби, приносящее 5 очков). Целое число.\",\n", + " \"conv\": \"Количество конверсий (ударов после 'try', приносящих 2 очка). Целое число.\",\n", + " \"pens\": \"Количество пенальти (ударов за нарушение, приносящих 3 очка). Целое число.\",\n", + " \"drop\": \"Количество дроп-голов (ударов после падения мяча, приносящих 3 очка). Целое число.\"\n", + "\n", + " However, note: the examples for \"span\" are in the format \"2002 - 2009\", so we describe the format.\n", + "\n", + " But wait: in the examples, the second example for span is \"2003 -\" (without the end year). So we note that.\n", + "\n", + " But note: the problem says to be brief. We can make the format description a bit shorter? But the example 1 for \"diameter_km\" had a detailed format description? Actually, for \"diameter_km\", they didn't have a format description (it was just a number). For \"span\", we have a complex string, so we describe the format.\n", + "\n", + " How about:\n", + "\n", + " \"span\": \"Период выступлений игрока за национальную сборную в формате 'ГГГГ - ГГГГ' (например, '2002 - 2009'); если дата окончания отсутствует, это означает, что игрок продолжает выступать.\"\n", + "\n", + " But note: the example 1 for \"type\" had: \"Классификация планеты по ее физическому и химическому составу (например, 'terrestrial' — каменистая или 'gas giant' — газовый гигант).\"\n", + "\n", + " So we can use a similar structure for \"span\": \n", + "\n", + " \"span\": \"Период выступлений игрока за национальную сборную (например, '2002 - 2009' — с 2002 по 2009 год; '2003 -' — с 2003 года по настоящее время).\"\n", + "\n", + " However, the problem says: \"brief but semantically succinct\". We don't need to give the example in the description? The examples in the description of the header (as in the XML) are provided, but we are to write a definition. The example 1 for \"type\" included an example in the definition. So we can do that.\n", + "\n", + " But note: the problem says \"based on the information received\". We have the examples. So we can use them to illustrate.\n", + "\n", + " However, the output examples (like Example 1) did not use the examples from the input in the definition (they used the examples in the input to form the definition, but not by repeating the example string). In Example 1, for \"type\", they wrote: (например, 'terrestrial' — каменистая или 'gas giant' — газовый гигант). So they used the examples to explain the meaning.\n", + "\n", + " Similarly, for \"span\", we can do:\n", + "\n", + " \"span\": \"Период выступлений игрока за национальную сборную, представленный в формате 'ГГГГ - ГГГГ', где отсутствие года окончания (например, '2003 -') означает, что игрок продолжает выступать.\"\n", + "\n", + " But note: we don't have to use the exact example string? We can just describe the format.\n", + "\n", + " Since the problem says \"semantically succinct\", we can write:\n", + "\n", + " \"span\": \"Период выступлений игрока за национальную сборную в формате 'начальный год - конечный год' (конечный год может отсутствовать, что указывает на текущее участие).\"\n", + "\n", + " Now, let's write the final definitions.\n", + "\n", + " We'll make them as concise as possible.\n", + "\n", + " Final:\n", + "\n", + " player: \"Имя игрока (имя и фамилия) в текстовом формате.\"\n", + " span: \"Период выступлений игрока за национальную сборную в формате 'ГГГГ - ГГГГ' (если конечный год отсутствует, то игрок продолжает выступать).\"\n", + " start: \"Количество матчей, в которых игрок стартовал (был в стартовой линейке). Целое число.\"\n", + " tries: \"Количество забитых 'tries' (действие в рэгби, приносящее 5 очков). Целое число.\"\n", + " conv: \"Количество конверсий (ударов после 'try', приносящих 2 очка). Целое число.\"\n", + " pens: \"Количество пенальти (ударов за нарушение, приносящих 3 очка). Целое число.\"\n", + " drop: \"Количество дроп-голов (ударов после падения мяча, приносящих 3 очка). Целое число.\"\n", + "\n", + " However, note: the examples for \"start\" are [28, 34, 45] — these are the number of starts. The term \"start\" in rugby for a player's career is the number of times the player started a match (i.e., was in the starting 15). So we are correct.\n", + "\n", + " But wait: in rugby, the term \"start\" is used for the starting lineup? Yes.\n", + "\n", + " However, note: the header is named \"start\", which is a bit ambiguous. But in the context of the table (US national rugby team) and the other headers (which are all statistics), it is standard.\n", + "\n", + " Let's write the JSON.\n", + "\n", + "\n", + "{\n", + " \"player\": \"Имя игрока (имя и фамилия) в текстовом формате.\",\n", + " \"span\": \"Период выступлений игрока за национальную сборную в формате 'ГГГГ - ГГГГ' (отсутствие конечного года, например, '2003 -', указывает на текущее участие).\",\n", + " \"start\": \"Количество матчей, в которых игрок стартовал (был в стартовой линейке). Целое число.\",\n", + " \"tries\": \"Количество забитых 'tries' (действие в рэгби, приносящее 5 очков). Целое число.\",\n", + " \"conv\": \"Количество конверсий (ударов после 'try', приносящих 2 очка). Целое число.\",\n", + " \"pens\": \"Количество пенальти (ударов за нарушение, приносящих 3 очка). Целое число.\",\n", + " \"drop\": \"Количество дроп-голов (ударов после падения мяча, приносящих 3 очка). Целое число.\"\n", + "}\n" + ] + } + ], + "source": [ + "print(responses[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "690bb801-262a-4454-8fd3-9aa37ff07744", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "We are given a table description: \"united states national rugby union team\"\n", + " The headers and examples are:\n", + " player: examples: [\"todd clever\", \"philip eloff\", \"mike hercus\"]\n", + " span: examples: [\"2002 - 2009\", \"2003 -\", \"1992 - 2000\"]\n", + " start: examples: [28, 34, 45]\n", + " tries: examples: [9, 10, 11]\n", + " conv: examples: [0, 0, 0]\n", + " pens: examples: [0, 0, 0]\n", + " drop: examples: [1, 0, 0]\n", + "\n", + " We need to define each header in Russian, including:\n", + " - A brief but semantically succinct definition.\n", + " - Format features (how to interpret signs, abbreviations, or complex strings, e.g., \"A - B\")\n", + " - If there are units of measurement in the examples, include them.\n", + "\n", + " Steps for each header:\n", + "\n", + " 1. \"player\":\n", + " - Examples: names of players (in lowercase, but note: in the examples they are in title case? Actually, the examples are in lowercase with first letter of each word capital? But in the example string it's given as \"todd clever\", which is actually \"Todd Clever\" but written in lowercase in the example? However, in the XML it's in quotes and in lowercase. But note: the examples are given as strings in the XML, and they are in the format of the actual data. We see that the examples are: \"todd clever\", \"philip eloff\", \"mike hercus\". So we have to describe that it's the name of the player, in text format.\n", + "\n", + " Definition: \n", + " \"Имя и фамилия игрока, представленные в виде строки (в нижнем регистре, но с заглавной буквой у первого символа каждого слова).\"\n", + "\n", + " However, note: the examples are in lowercase? Actually, the XML example: \"todd clever\" - but in reality, names are usually capitalized. But the example string is given as is. So we can say: \n", + " \"Имя и фамилия игрока, записанные в текстовом формате (в нижнем регистре, но с заглавной буквой у первого символа каждого слова).\"\n", + "\n", + " But wait, the example \"todd clever\" is actually written with a lowercase 't'? That might be a data issue, but we have to describe what we see.\n", + "\n", + " Alternatively, we can say: \"Имя и фамилия игрока, представленные в виде строки (в формате: имя_в_нижнем_регистре, фамилия_в_нижнем_регистре).\"\n", + "\n", + " However, the problem says: \"brief but semantically succinct\". So:\n", + "\n", + " \"Имя и фамилия игрока, записанные в текстовом виде (в формате: имя фамилия, все буквы в нижнем регистре).\"\n", + "\n", + " But note: the example \"todd clever\" is two words, so we can say: \"Имя и фамилия игрока, разделенные пробелом, в нижнем регистре (без заглавных букв).\"\n", + "\n", + " However, the example \"todd clever\" - the first letter of each word is lowercase? Actually, the example string is given as \"todd\" (with t in lower) and \"clever\" (with c in lower). So it's all lowercase.\n", + "\n", + " But in reality, names are written with capital letters. However, the data is provided in lowercase. So we describe as is.\n", + "\n", + " Let's look at the examples: \n", + " \"todd clever\", \"philip eloff\", \"mike hercus\"\n", + "\n", + " So: \n", + " \"Имя и фамилия игрока, представленные в виде строки, состоящей из двух слов (имя и фамилия), разделенных пробелом, в нижнем регистре.\"\n", + "\n", + " 2. \"span\":\n", + " - Examples: \"2002 - 2009\", \"2003 -\", \"1992 - 2000\"\n", + " - Format: This is a string that represents a time period. The pattern is: \n", + " [start_year] - [end_year] \n", + " but if the player is still active, the end year is missing (e.g., \"2003 -\" meaning from 2003 to present).\n", + "\n", + " Definition:\n", + " \"Период времени, в течение которого игрок выступал за национальную сборную. Формат: 'год_начала - год_окончания' (если игрок больше не выступает) или 'год_начала -' (если игрок все еще в составе). Годы представлены в формате четырехзначного числа.\"\n", + "\n", + " But note: the examples have a space after the dash? Actually, in the example: \"2002 - 2009\" -> there is a space on both sides of the dash? But the example string in the XML is \"2002 - 2009\" (with a space after the 2002 and before the 2009? Actually, the string is: \"2002 - 2009\" -> which is \"2002\" then space, then dash, then space, then \"2009\". So the pattern is: [year] [space] - [space] [year] or [year] [space] - [space] (for the current active).\n", + "\n", + " However, the example \"2003 -\" has a space after the dash? Actually, in the example: \"2003 -\" -> it's \"2003\" then space, then dash, then nothing? But in the XML it's written as \"2003 -\" (with a space after the dash? Actually, the string is \"2003 -\", meaning: 2003 followed by a space and then a dash and then a space? But wait, the example string is \"2003 -\" (with a space after the 2003 and then a dash and then nothing? But in the XML it's written as \"2003 -\" -> which in the string would be \"2003 -\", so it's 2003, space, dash, and then no space at the end? Actually, the example: \"2003 -\" has a space after the 2003? But the dash is followed by a space? The example string is: \"2003 -\" -> it's 2003, then a space, then a dash, and then the string ends? Or is it 2003, space, dash, and then a space? The example string in the XML is: \"2003 -\" (without a trailing space) but the example \"2002 - 2009\" has a space after the dash? Actually, the example string for the first is: \"2002 - 2009\" -> that has a space after the 2002, then a dash, then a space, then 2009. So the pattern is: [year] [space] - [space] [year] (if end year is present) or [year] [space] - (if end year is not present).\n", + "\n", + " However, note the example \"2003 -\" -> it's \"2003 -\" meaning: 2003, space, then dash, and then no space? But the example string in the XML is written as \"2003 -\" (which in the string would be 2003 followed by a space and then a dash, and then the string ends? So it's two characters: space and dash? Actually, the string is \"2003 -\", which is 6 characters: '2','0','0','3',' ','-'. So the dash is the last character? But then the example \"1992 - 2000\" is 11 characters? \n", + "\n", + " We can describe it as: \n", + " \"Период выступлений игрока за сборную, представленный в формате: 'YYYY - YYYY' (если игрок завершил выступления) или 'YYYY -' (если игрок все еще в составе). Годы указаны в четырехзначном формате.\"\n", + "\n", + " 3. \"start\":\n", + " - Examples: [28, 34, 45] -> integers\n", + " - What does this mean? In rugby, \"start\" might refer to the number of starts (i.e., the number of games in which the player started). But note: the context is the national rugby team. So:\n", + "\n", + " \"Количество матчей, в которых игрок вышел в стартовом составе.\"\n", + "\n", + " And the unit: it's a count (no unit, but it's a number). So we say: \"Целое число, обозначающее количество стартовых игр.\"\n", + "\n", + " 4. \"tries\":\n", + " - Examples: [9, 10, 11] -> integers\n", + " - In rugby, a \"try\" is a way of scoring (4 points). So:\n", + " \"Количество заработанных 'tries' (попыток) в матче, при которых игрок касается мяча в зоне соперника. Целое число.\"\n", + "\n", + " 5. \"conv\":\n", + " - Examples: [0, 0, 0] -> integers\n", + " - In rugby, \"conv\" likely stands for \"conversions\". A conversion is a kick after a try (2 points). So:\n", + " \"Количество конверсий (после попытки), выполненных игроком. Целое число.\"\n", + "\n", + " 6. \"pens\":\n", + " - Examples: [0, 0, 0] -> integers\n", + " - \"pens\" likely stands for \"penalties\". A penalty kick (3 points). So:\n", + " \"Количество пенальти (пенальти-киков), выполненных игроком. Целое число.\"\n", + "\n", + " 7. \"drop\":\n", + " - Examples: [1, 0, 0] -> integers\n", + " - \"drop\" likely stands for \"drop goals\" (a kick from the ground, 3 points). So:\n", + " \"Количество дроп-голов (дополнительных киков), выполненных игроком. Целое число.\"\n", + "\n", + " Now, let's write the definitions in Russian, as per the examples.\n", + "\n", + " Important: The output must be in JSON dictionary with the header name as key and the string as value.\n", + "\n", + " Let's write for each:\n", + "\n", + " \"player\": \"Имя и фамилия игрока, представленные в виде строки, состоящей из двух слов (имя и фамилия), разделенных пробелом, в нижнем регистре.\"\n", + " \"span\": \"Период выступлений игрока за национальную сборную, представленный в формате: 'YYYY - YYYY' (если игрок завершил выступления) или 'YYYY -' (если игрок все еще в составе). Годы указаны в четырехзначном формате.\"\n", + " \"start\": \"Количество матчей, в которых игрок вышел в стартовом составе. Целое число.\"\n", + " \"tries\": \"Количество заработанных попыток (tries) в матче. Целое число.\"\n", + " \"conv\": \"Количество конверсий (после попытки), выполненных игроком. Целое число.\"\n", + " \"pens\": \"Количество пенальти (пенальти-киков), выполненных игроком. Целое число.\"\n", + " \"drop\": \"Количество дроп-голов (дополнительных киков), выполненных игроком. Целое число.\"\n", + "\n", + " But note: the examples for \"start\", \"tries\", etc. are integers without units. So we don't have to specify a unit (like in Example 1 for \"diameter_km\" we had to say \"км\"). However, for the rugby statistics, the unit is \"count\" (which is a number) so we can say \"Целое число\" (integer number) but note: the examples are non-negative integers.\n", + "\n", + " However, the problem says: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\" Since the examples are just numbers (without any unit symbol), we don't have a unit. But the meaning is a count (so we can say it's a count, but the problem doesn't require to say \"count\" as a unit? Actually, in the examples, the numbers are counts. But in the output examples, for \"moons\" they said \"целое число\" and for \"diameter_km\" they said \"Единица измерения: километры (км)\". So for the rugby stats, since the numbers are counts (without a physical unit), we can say \"Целое число\" but without a unit? However, the examples in the problem for \"moons\" did not have a unit (it was just a count) and they wrote: \"Количественный показатель, обозначающий общее число подтвержденных естественных спутников планеты (целое число).\"\n", + "\n", + " So we can write for \"start\": \"Количество матчей, в которых игрок вышел в стартовом составе (целое число).\"\n", + "\n", + " But note: the example for \"moons\" in Example 1: \"Количественный показатель, обозначающий общее число подтвержденных естественных спутников планеты (целое число).\"\n", + "\n", + " So we can follow the same pattern.\n", + "\n", + " Let's adjust:\n", + "\n", + " \"player\": \"Имя и фамилия игрока, представленные в виде строки (имя и фамилия в нижнем регистре, разделенные пробелом).\"\n", + " \"span\": \"Период выступлений игрока за сборную, представленный в формате: 'YYYY - YYYY' (если игрок завершил выступления) или 'YYYY -' (если игрок все еще в составе), где YYYY — четырехзначный год.\"\n", + " \"start\": \"Количество матчей, в которых игрок вышел в стартовом составе (целое число).\"\n", + " \"tries\": \"Количество заработанных попыток (tries) в матче (целое число).\"\n", + " \"conv\": \"Количество конверсий (после попытки), выполненных игроком (целое число).\"\n", + " \"pens\": \"Количество пенальти (пенальти-киков), выполненных игроком (целое число).\"\n", + " \"drop\": \"Количество дроп-голов (дополнительных киков), выполненных игроком (целое число).\"\n", + "\n", + " However, note the example for \"moons\" in Example 1: they didn't say \"целое число\" in the middle, but at the end in parentheses. But in the example output for \"moons\" it was: \"Количественный показатель, обозначающий общее число подтвержденных естественных спутников планеты (целое число).\"\n", + "\n", + " So we can do the same.\n", + "\n", + " But note: the problem says \"semantically succinct\". We don't need to over-explain, but we must be clear.\n", + "\n", + " Now, let's write the JSON.\n", + "\n", + " Important: The keys must be exactly the header names (in English, as given: \"player\", \"span\", etc.)\n", + "\n", + " Let's write the dictionary:\n", + "\n", + "{\n", + " \"player\": \"Имя и фамилия игрока, представленные в виде строки (имя и фамилия в нижнем регистре, разделенные пробелом).\",\n", + " \"span\": \"Период выступлений игрока за сборную, представленный в формате: 'YYYY - YYYY' (если игрок завершил выступления) или 'YYYY -' (если игрок все еще в составе), где YYYY — четырехзначный год.\",\n", + " \"start\": \"Количество матчей, в которых игрок вышел в стартовом составе (целое число).\",\n", + " \"tries\": \"Количество заработанных попыток (tries) в матче (целое число).\",\n", + " \"conv\": \"Количество конверсий (после попытки), выполненных игроком (целое число).\",\n", + " \"pens\": \"Количество пенальти (пенальти-киков), выполненных игроком (целое число).\",\n", + " \"drop\": \"Количество дроп-голов (дополнительных киков), выполненных игроком (целое число).\"\n", + "}\n", + "\n", + " However, note: the problem says \"If there are units of measurement in the EXAMPLES, then include them in the answer.\" \n", + " - In \"player\", \"span\", there are no units (they are strings). \n", + " - In \"start\", \"tries\", \"conv\", \"pens\", \"drop\", the examples are numbers without units (they are counts). So we don't have a unit to specify (like \"m/s^2\" in Example 1). But note: the examples in the problem for \"moons\" (in Example 1) were just numbers and they said \"(целое число)\" which is a type, not a unit. The problem says \"units of measurement\", so we only add if the examples show a unit (like \"12756\" for \"diameter_km\" and then we see \"км\" in the output). \n", + "\n", + " But in our case, the examples for \"start\", etc. are just numbers (without a unit symbol). So we don't have a unit to write. We only note that the value is an integer.\n", + "\n", + " Therefore, the above is acceptable.\n", + "\n", + " Let's check the format for \"span\" in the examples: \n", + " The examples: \"2002 - 2009\", \"2003 -\", \"1992 - 2000\"\n", + "\n", + " We have to note that the dash is used to separate the years and that the end year may be absent (meaning current). Also, the years are four-digit.\n", + "\n", + " Now, we output the JSON.\n", + "\n", + "\n", + "{\n", + " \"player\": \"Имя и фамилия игрока, представленные в виде строки (имя и фамилия в нижнем регистре, разделенные пробелом).\",\n", + " \"span\": \"Период выступлений игрока за сборную в формате: 'YYYY - YYYY' (завершенный период) или 'YYYY -' (актуальный период), где YYYY — четырехзначный год.\",\n", + " \"start\": \"Количество матчей, в которых игрок вышел в стартовом составе (целое число).\",\n", + " \"tries\": \"Количество заработанных попыток (tries) в матче (целое число).\",\n", + " \"conv\": \"Количество конверсий (после попытки), выполненных игроком (целое число).\",\n", + " \"pens\": \"Количество пенальти (пенальти-киков), выполненных игроком (целое число).\",\n", + " \"drop\": \"Количество дроп-голов (дополнительных киков), выполненных игроком (целое число).\"\n", + "}\n" + ] + } + ], + "source": [ + "print('We are given a table description: \"united states national rugby union team\"\\n The headers and examples are:\\n player: examples: [\"todd clever\", \"philip eloff\", \"mike hercus\"]\\n span: examples: [\"2002 - 2009\", \"2003 -\", \"1992 - 2000\"]\\n start: examples: [28, 34, 45]\\n tries: examples: [9, 10, 11]\\n conv: examples: [0, 0, 0]\\n pens: examples: [0, 0, 0]\\n drop: examples: [1, 0, 0]\\n\\n We need to define each header in Russian, including:\\n - A brief but semantically succinct definition.\\n - Format features (how to interpret signs, abbreviations, or complex strings, e.g., \"A - B\")\\n - If there are units of measurement in the examples, include them.\\n\\n Steps for each header:\\n\\n 1. \"player\":\\n - Examples: names of players (in lowercase, but note: in the examples they are in title case? Actually, the examples are in lowercase with first letter of each word capital? But in the example string it\\'s given as \"todd clever\", which is actually \"Todd Clever\" but written in lowercase in the example? However, in the XML it\\'s in quotes and in lowercase. But note: the examples are given as strings in the XML, and they are in the format of the actual data. We see that the examples are: \"todd clever\", \"philip eloff\", \"mike hercus\". So we have to describe that it\\'s the name of the player, in text format.\\n\\n Definition: \\n \"Имя и фамилия игрока, представленные в виде строки (в нижнем регистре, но с заглавной буквой у первого символа каждого слова).\"\\n\\n However, note: the examples are in lowercase? Actually, the XML example: \"todd clever\" - but in reality, names are usually capitalized. But the example string is given as is. So we can say: \\n \"Имя и фамилия игрока, записанные в текстовом формате (в нижнем регистре, но с заглавной буквой у первого символа каждого слова).\"\\n\\n But wait, the example \"todd clever\" is actually written with a lowercase \\'t\\'? That might be a data issue, but we have to describe what we see.\\n\\n Alternatively, we can say: \"Имя и фамилия игрока, представленные в виде строки (в формате: имя_в_нижнем_регистре, фамилия_в_нижнем_регистре).\"\\n\\n However, the problem says: \"brief but semantically succinct\". So:\\n\\n \"Имя и фамилия игрока, записанные в текстовом виде (в формате: имя фамилия, все буквы в нижнем регистре).\"\\n\\n But note: the example \"todd clever\" is two words, so we can say: \"Имя и фамилия игрока, разделенные пробелом, в нижнем регистре (без заглавных букв).\"\\n\\n However, the example \"todd clever\" - the first letter of each word is lowercase? Actually, the example string is given as \"todd\" (with t in lower) and \"clever\" (with c in lower). So it\\'s all lowercase.\\n\\n But in reality, names are written with capital letters. However, the data is provided in lowercase. So we describe as is.\\n\\n Let\\'s look at the examples: \\n \"todd clever\", \"philip eloff\", \"mike hercus\"\\n\\n So: \\n \"Имя и фамилия игрока, представленные в виде строки, состоящей из двух слов (имя и фамилия), разделенных пробелом, в нижнем регистре.\"\\n\\n 2. \"span\":\\n - Examples: \"2002 - 2009\", \"2003 -\", \"1992 - 2000\"\\n - Format: This is a string that represents a time period. The pattern is: \\n [start_year] - [end_year] \\n but if the player is still active, the end year is missing (e.g., \"2003 -\" meaning from 2003 to present).\\n\\n Definition:\\n \"Период времени, в течение которого игрок выступал за национальную сборную. Формат: \\'год_начала - год_окончания\\' (если игрок больше не выступает) или \\'год_начала -\\' (если игрок все еще в составе). Годы представлены в формате четырехзначного числа.\"\\n\\n But note: the examples have a space after the dash? Actually, in the example: \"2002 - 2009\" -> there is a space on both sides of the dash? But the example string in the XML is \"2002 - 2009\" (with a space after the 2002 and before the 2009? Actually, the string is: \"2002 - 2009\" -> which is \"2002\" then space, then dash, then space, then \"2009\". So the pattern is: [year] [space] - [space] [year] or [year] [space] - [space] (for the current active).\\n\\n However, the example \"2003 -\" has a space after the dash? Actually, in the example: \"2003 -\" -> it\\'s \"2003\" then space, then dash, then nothing? But in the XML it\\'s written as \"2003 -\" (with a space after the dash? Actually, the string is \"2003 -\", meaning: 2003 followed by a space and then a dash and then a space? But wait, the example string is \"2003 -\" (with a space after the 2003 and then a dash and then nothing? But in the XML it\\'s written as \"2003 -\" -> which in the string would be \"2003 -\", so it\\'s 2003, space, dash, and then no space at the end? Actually, the example: \"2003 -\" has a space after the 2003? But the dash is followed by a space? The example string is: \"2003 -\" -> it\\'s 2003, then a space, then a dash, and then the string ends? Or is it 2003, space, dash, and then a space? The example string in the XML is: \"2003 -\" (without a trailing space) but the example \"2002 - 2009\" has a space after the dash? Actually, the example string for the first is: \"2002 - 2009\" -> that has a space after the 2002, then a dash, then a space, then 2009. So the pattern is: [year] [space] - [space] [year] (if end year is present) or [year] [space] - (if end year is not present).\\n\\n However, note the example \"2003 -\" -> it\\'s \"2003 -\" meaning: 2003, space, then dash, and then no space? But the example string in the XML is written as \"2003 -\" (which in the string would be 2003 followed by a space and then a dash, and then the string ends? So it\\'s two characters: space and dash? Actually, the string is \"2003 -\", which is 6 characters: \\'2\\',\\'0\\',\\'0\\',\\'3\\',\\' \\',\\'-\\'. So the dash is the last character? But then the example \"1992 - 2000\" is 11 characters? \\n\\n We can describe it as: \\n \"Период выступлений игрока за сборную, представленный в формате: \\'YYYY - YYYY\\' (если игрок завершил выступления) или \\'YYYY -\\' (если игрок все еще в составе). Годы указаны в четырехзначном формате.\"\\n\\n 3. \"start\":\\n - Examples: [28, 34, 45] -> integers\\n - What does this mean? In rugby, \"start\" might refer to the number of starts (i.e., the number of games in which the player started). But note: the context is the national rugby team. So:\\n\\n \"Количество матчей, в которых игрок вышел в стартовом составе.\"\\n\\n And the unit: it\\'s a count (no unit, but it\\'s a number). So we say: \"Целое число, обозначающее количество стартовых игр.\"\\n\\n 4. \"tries\":\\n - Examples: [9, 10, 11] -> integers\\n - In rugby, a \"try\" is a way of scoring (4 points). So:\\n \"Количество заработанных \\'tries\\' (попыток) в матче, при которых игрок касается мяча в зоне соперника. Целое число.\"\\n\\n 5. \"conv\":\\n - Examples: [0, 0, 0] -> integers\\n - In rugby, \"conv\" likely stands for \"conversions\". A conversion is a kick after a try (2 points). So:\\n \"Количество конверсий (после попытки), выполненных игроком. Целое число.\"\\n\\n 6. \"pens\":\\n - Examples: [0, 0, 0] -> integers\\n - \"pens\" likely stands for \"penalties\". A penalty kick (3 points). So:\\n \"Количество пенальти (пенальти-киков), выполненных игроком. Целое число.\"\\n\\n 7. \"drop\":\\n - Examples: [1, 0, 0] -> integers\\n - \"drop\" likely stands for \"drop goals\" (a kick from the ground, 3 points). So:\\n \"Количество дроп-голов (дополнительных киков), выполненных игроком. Целое число.\"\\n\\n Now, let\\'s write the definitions in Russian, as per the examples.\\n\\n Important: The output must be in JSON dictionary with the header name as key and the string as value.\\n\\n Let\\'s write for each:\\n\\n \"player\": \"Имя и фамилия игрока, представленные в виде строки, состоящей из двух слов (имя и фамилия), разделенных пробелом, в нижнем регистре.\"\\n \"span\": \"Период выступлений игрока за национальную сборную, представленный в формате: \\'YYYY - YYYY\\' (если игрок завершил выступления) или \\'YYYY -\\' (если игрок все еще в составе). Годы указаны в четырехзначном формате.\"\\n \"start\": \"Количество матчей, в которых игрок вышел в стартовом составе. Целое число.\"\\n \"tries\": \"Количество заработанных попыток (tries) в матче. Целое число.\"\\n \"conv\": \"Количество конверсий (после попытки), выполненных игроком. Целое число.\"\\n \"pens\": \"Количество пенальти (пенальти-киков), выполненных игроком. Целое число.\"\\n \"drop\": \"Количество дроп-голов (дополнительных киков), выполненных игроком. Целое число.\"\\n\\n But note: the examples for \"start\", \"tries\", etc. are integers without units. So we don\\'t have to specify a unit (like in Example 1 for \"diameter_km\" we had to say \"км\"). However, for the rugby statistics, the unit is \"count\" (which is a number) so we can say \"Целое число\" (integer number) but note: the examples are non-negative integers.\\n\\n However, the problem says: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\" Since the examples are just numbers (without any unit symbol), we don\\'t have a unit. But the meaning is a count (so we can say it\\'s a count, but the problem doesn\\'t require to say \"count\" as a unit? Actually, in the examples, the numbers are counts. But in the output examples, for \"moons\" they said \"целое число\" and for \"diameter_km\" they said \"Единица измерения: километры (км)\". So for the rugby stats, since the numbers are counts (without a physical unit), we can say \"Целое число\" but without a unit? However, the examples in the problem for \"moons\" did not have a unit (it was just a count) and they wrote: \"Количественный показатель, обозначающий общее число подтвержденных естественных спутников планеты (целое число).\"\\n\\n So we can write for \"start\": \"Количество матчей, в которых игрок вышел в стартовом составе (целое число).\"\\n\\n But note: the example for \"moons\" in Example 1: \"Количественный показатель, обозначающий общее число подтвержденных естественных спутников планеты (целое число).\"\\n\\n So we can follow the same pattern.\\n\\n Let\\'s adjust:\\n\\n \"player\": \"Имя и фамилия игрока, представленные в виде строки (имя и фамилия в нижнем регистре, разделенные пробелом).\"\\n \"span\": \"Период выступлений игрока за сборную, представленный в формате: \\'YYYY - YYYY\\' (если игрок завершил выступления) или \\'YYYY -\\' (если игрок все еще в составе), где YYYY — четырехзначный год.\"\\n \"start\": \"Количество матчей, в которых игрок вышел в стартовом составе (целое число).\"\\n \"tries\": \"Количество заработанных попыток (tries) в матче (целое число).\"\\n \"conv\": \"Количество конверсий (после попытки), выполненных игроком (целое число).\"\\n \"pens\": \"Количество пенальти (пенальти-киков), выполненных игроком (целое число).\"\\n \"drop\": \"Количество дроп-голов (дополнительных киков), выполненных игроком (целое число).\"\\n\\n However, note the example for \"moons\" in Example 1: they didn\\'t say \"целое число\" in the middle, but at the end in parentheses. But in the example output for \"moons\" it was: \"Количественный показатель, обозначающий общее число подтвержденных естественных спутников планеты (целое число).\"\\n\\n So we can do the same.\\n\\n But note: the problem says \"semantically succinct\". We don\\'t need to over-explain, but we must be clear.\\n\\n Now, let\\'s write the JSON.\\n\\n Important: The keys must be exactly the header names (in English, as given: \"player\", \"span\", etc.)\\n\\n Let\\'s write the dictionary:\\n\\n{\\n \"player\": \"Имя и фамилия игрока, представленные в виде строки (имя и фамилия в нижнем регистре, разделенные пробелом).\",\\n \"span\": \"Период выступлений игрока за сборную, представленный в формате: \\'YYYY - YYYY\\' (если игрок завершил выступления) или \\'YYYY -\\' (если игрок все еще в составе), где YYYY — четырехзначный год.\",\\n \"start\": \"Количество матчей, в которых игрок вышел в стартовом составе (целое число).\",\\n \"tries\": \"Количество заработанных попыток (tries) в матче (целое число).\",\\n \"conv\": \"Количество конверсий (после попытки), выполненных игроком (целое число).\",\\n \"pens\": \"Количество пенальти (пенальти-киков), выполненных игроком (целое число).\",\\n \"drop\": \"Количество дроп-голов (дополнительных киков), выполненных игроком (целое число).\"\\n}\\n\\n However, note: the problem says \"If there are units of measurement in the EXAMPLES, then include them in the answer.\" \\n - In \"player\", \"span\", there are no units (they are strings). \\n - In \"start\", \"tries\", \"conv\", \"pens\", \"drop\", the examples are numbers without units (they are counts). So we don\\'t have a unit to specify (like \"m/s^2\" in Example 1). But note: the examples in the problem for \"moons\" (in Example 1) were just numbers and they said \"(целое число)\" which is a type, not a unit. The problem says \"units of measurement\", so we only add if the examples show a unit (like \"12756\" for \"diameter_km\" and then we see \"км\" in the output). \\n\\n But in our case, the examples for \"start\", etc. are just numbers (without a unit symbol). So we don\\'t have a unit to write. We only note that the value is an integer.\\n\\n Therefore, the above is acceptable.\\n\\n Let\\'s check the format for \"span\" in the examples: \\n The examples: \"2002 - 2009\", \"2003 -\", \"1992 - 2000\"\\n\\n We have to note that the dash is used to separate the years and that the end year may be absent (meaning current). Also, the years are four-digit.\\n\\n Now, we output the JSON.\\n\\n\\n{\\n \"player\": \"Имя и фамилия игрока, представленные в виде строки (имя и фамилия в нижнем регистре, разделенные пробелом).\",\\n \"span\": \"Период выступлений игрока за сборную в формате: \\'YYYY - YYYY\\' (завершенный период) или \\'YYYY -\\' (актуальный период), где YYYY — четырехзначный год.\",\\n \"start\": \"Количество матчей, в которых игрок вышел в стартовом составе (целое число).\",\\n \"tries\": \"Количество заработанных попыток (tries) в матче (целое число).\",\\n \"conv\": \"Количество конверсий (после попытки), выполненных игроком (целое число).\",\\n \"pens\": \"Количество пенальти (пенальти-киков), выполненных игроком (целое число).\",\\n \"drop\": \"Количество дроп-голов (дополнительных киков), выполненных игроком (целое число).\"\\n}')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f04afca2-d179-4dc7-ae9e-d706cfa9aadd", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "d044ca9c-2a91-48be-a46e-78d7f69274f3", + "metadata": {}, + "source": [ + "# Make col def WTQ train" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "8d3236d7-f03e-404a-8ee2-f92265866387", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'\"PANDA\": \"df[\\'brazil scorers\\'].str.contains(\\'Haroldo\\', na=False).sum() > 1\"\\n'" + "{'object': 'list',\n", + " 'data': [{'id': 'Qwen/Qwen3-30B-A3B-Thinking-2507',\n", + " 'object': 'model',\n", + " 'created': 1779597767,\n", + " 'owned_by': 'vllm',\n", + " 'root': 'Qwen/Qwen3-30B-A3B-Thinking-2507',\n", + " 'parent': None,\n", + " 'max_model_len': 25000,\n", + " 'permission': [{'id': 'modelperm-998253c3281ce54f',\n", + " 'object': 'model_permission',\n", + " 'created': 1779597767,\n", + " 'allow_create_engine': False,\n", + " 'allow_sampling': True,\n", + " 'allow_logprobs': True,\n", + " 'allow_search_indices': False,\n", + " 'allow_view': True,\n", + " 'allow_fine_tuning': False,\n", + " 'organization': '*',\n", + " 'group': None,\n", + " 'is_blocking': False}]}]}" ] }, - "execution_count": 73, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "match.group()" + "import requests\n", + "x = requests.get('http://127.0.0.1:9124/v1/models')\n", + "x.json()" ] }, { "cell_type": "code", - "execution_count": 85, - "id": "4d9a0e32-2cc5-4bb6-9cae-f60c702da4f1", + "execution_count": 1, + "id": "1daa69ac-7698-40ca-8cd1-c8625e2f4c0c", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from io import StringIO\n", + "import json\n", + "from datasets import Dataset,load_from_disk" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b2226b03-c431-4b2a-aa75-bdd21328a5ec", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "False" + "{'id_x': '0',\n", + " 'table': 'csv/204-csv/590.csv',\n", + " 'code': '{\"PANDA\": \"df[df[\\'League\\'] == find_word(\\'USL A-League\\')][\\'Year\\'].max()\"}',\n", + " 'result': '2004',\n", + " 'error': '',\n", + " 'is_correct': 'True',\n", + " 'target_value': '2004',\n", + " 'nt_id': 'nt-0',\n", + " 'sql_code': \"select max ( c1_number ) from w where c3 = 'usl a-league'\",\n", + " 'query': 'what was the last year where this team was a part of the usl a-league?'}" ] }, - "execution_count": 85, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bool(eval(parse_panda_code(response_sem)))" + "data = load_from_disk('../datasets/wtq/wtq-sql-pandas/')\n", + "data[0]" ] }, { "cell_type": "code", - "execution_count": 86, - "id": "b2a66aa7-0c14-487d-b47b-9206ee66ce41", + "execution_count": 3, + "id": "8998b342-aacc-41e4-aeee-d57eb63643fb", + "metadata": {}, + "outputs": [], + "source": [ + "data = data.rename_column(\"table\", \"context\")\n", + "data = data.rename_column(\"query\", \"statement\")\n", + "data = data.rename_column(\"target_value\", \"label\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "58d83502-0d55-4a09-867c-967039a7c98f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "True" + "Dataset({\n", + " features: ['id_x', 'context', 'code', 'result', 'error', 'is_correct', 'label', 'nt_id', 'sql_code', 'statement'],\n", + " num_rows: 14149\n", + "})" ] }, - "execution_count": 86, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bool(dataset[0]['label'])" + "data" ] }, { "cell_type": "code", - "execution_count": 167, - "id": "feca60af-e739-4114-a5bc-9a8be7b6088a", + "execution_count": 5, + "id": "4356b657-e129-4134-a70d-17054a849cd4", "metadata": {}, "outputs": [], "source": [ - "from datasets import load_from_disk\n", - "from openai import OpenAI\n", - "import sys\n", - "import os\n", - "import json\n", + "WTQ_DIR = '/home/poddubny/datasets/WikiTableQuestions/'" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7d8ffe1c-9f17-42bc-a56f-b2451ad6fd6f", + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", "import pandas as pd\n", - "from io import StringIO\n", - "from tqdm import tqdm\n", - "import re\n", - "# Добавляем корневую директорию проекта в sys.path\n", - "sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests')))\n", - "\n", - "system_prompt = '''You are a Python expert specializing in pandas. Your task is to translate the\n", - "given natural language statement into a single-line pandas expression. This\n", - "expression must be valid and executable to verify the truth of the statement\n", - "using the provided table. Consider the following:\n", - "1. The table is represented as a pandas DataFrame named df.\n", - "2. Do not include explanations, comments, or multiline outputs.\n", - "3. Ensure the output is concise, correct, and when run outputs either True or\n", - "False, and strictly in the following Json Format with a single key \"PANDA\":\n", - "\"PANDA\": \"\"\n", - "'''\n", - "system_correcting_prompt = '''\n", - "You are a Python expert specializing in pandas. Your task is to correct a pandas code that translates \n", - "a given natural language statement into a pandas\n", - "expression. The input data, code, along with the specific error it contains, is provided.\n", - "Your corrected pandas_code must be valid and executable by running the code\n", - "snippet str(bool(eval(pandas_code))) ensuring it accurately evaluates the truth\n", - "of the statement using the provided table with no errors.\n", - "Make sure the pandas_code is of type boolean. Consider the following:\n", - "1. The table is represented as a pandas DataFrame named df.\n", - "2. Do not include explanations, comments, or multiline outputs.\n", - "3. Ensure the output is concise, correct, and when run outputs either True or\n", - "False, and strictly in the following Json Format with a single key \"CORRECT PANDA\": \n", - "\"CORRECT PANDA\": \"\"\n", - "'''\n", - "\n", - "\n", - "def send_message(message,max_tokens=500,top_p=0.9,temperature=0.5,server_url=\"http://127.0.0.1:8800/v1\",api_key=\"dummy\",\n", - " model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',system_prompt='', stop = [\"Observation:\",\"\\n\\n\\n\\n\",\"\\n \\n \\n\"]):\n", - " client = OpenAI(base_url=server_url, api_key=api_key)\n", - " model_input = [\n", - " { 'role': 'system', 'content': system_prompt},\n", - " { 'role': 'user', 'content': message}\n", - " ]\n", - " try:\n", - " print(f\"Generating content with model: {model_name}\",)\n", - " \n", - " response = client.chat.completions.create(\n", - " model=model_name,\n", - " messages=model_input,\n", - " temperature=temperature,\n", - " max_tokens=max_tokens,\n", - " top_p=top_p,\n", - " stop = stop\n", - " )\n", - " \n", - " return True, response.choices[0].message.content\n", - "\n", - " except Exception as e:\n", - " print(\"Failed to call LLM: \" + str(e))\n", - " time.sleep(6)\n", - " if hasattr(e, 'response'):\n", - " error_info = e.response.json() \n", - " code_value = error_info['error']['code']\n", - " else:\n", - " code_value = \"context_length_exceeded\"\n", - " print(\"Retrying ...\")\n", - " return False, None\n", - "\n", - "def parse_panda_code(input_string):\n", - " \"\"\"\n", - " Парсит строку и извлекает код, который находится внутри конструкции \"PANDA\": <код>\n", - " Поддерживает различные форматы: JSON, простой текст, Markdown\n", - " \n", - " Args:\n", - " input_string (str): Входная строка для парсинга\n", - " \n", - " Returns:\n", - " str: Извлеченный код или пустая строка, если код не найден\n", - " \"\"\"\n", - " # Сначала попробуем найти JSON объект с PANDA\n", - " json_pattern = r'\\{[^{}]*PANDA\":\\s*(.+?)(?:\\n|$)?\\}'\n", - " json_match = re.search(json_pattern, input_string, re.DOTALL)\n", - " code = None\n", - " pattern = r'\"PANDA\":\\s*(.+?)(?:\\n|$)'\n", - " if json_match:\n", - " code = json_match.group(1).strip()\n", - " else:\n", - " match = re.search(pattern, input_string, re.DOTALL)\n", - " if match:\n", - " # Извлекаем код и убираем лишние пробелы по краям\n", - " code = match.group(1).strip()\n", - " # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON\n", "\n", - " # Если JSON не найден или не распарсился, используем старый метод\n", - " # Паттерн для поиска кода после \"PANDA\": \n", - " # Ищет \"PANDA\": за которым следует пробел, затем код до конца строки или до следующего символа\n", - " if code != None:\n", - " # Убираем возможные кавычки вокруг кода\n", - " if code.startswith('\"') and code.endswith('\"'):\n", - " code = code[1:-1]\n", - " elif code.startswith(\"'\") and code.endswith(\"'\"):\n", - " code = code[1:-1]\n", - " \n", - " return code\n", + "filepath = Path(WTQ_DIR) / 'csv/203-csv/733.html'\n", + "tables = pd.read_html(filepath.open(encoding='utf-8'))[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0745bee1-e133-47a8-b301-51b1394a0ef6", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c55a6fe1-b405-40e1-97b3-22786b6bdaf5", + "metadata": {}, + "outputs": [], + "source": [ + "def read_md_table(md_table):\n", + " dd = pd.read_table(StringIO(md_table), sep=\"|\", header=0, skipinitialspace=True).dropna(axis=1, how='all').iloc[1:]\n", + " dd.columns = dd.columns.str.strip()\n", + " dd = dd.apply(lambda x: x.str.strip() if x.dtype == \"object\" else x)\n", + " return dd\n", + "def read_html_table(html_table,WTQ_DIR = '/home/poddubny/datasets/WikiTableQuestions/'):\n", " \n", - " return \"\"\n", - "\n", - "def correct_code(df,input_data,code_str,error_str,iter_id=0,system_correcting_prompt='',stop= [\"Observation:\",\"\\n\\n\\n\\n\",\"\\n \\n \\n\"],\n", - " max_tokens=500,top_p=0.9,temperature=0.5,server_url=\"http://127.0.0.1:8800/v1\",api_key=\"dummy\",\n", - " model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',max_iter=3):\n", - " if iter_id
          \n" + ] } ], "source": [ - "process_data = load_from_disk('answer_gen_nlsep_none_filtered_new_dataset/')\n", - "process_data" + "print(dataset['semtab_xml_attributes_exampples_top1_tresh50'][41])" ] }, { "cell_type": "code", - "execution_count": 135, - "id": "79eebf32-1119-4e87-b783-1479f99e3711", + "execution_count": 76, + "id": "3573a3a4-7a47-4030-affe-1a2be96bf3a0", "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 88116/88116 [00:00<00:00, 156255.01 examples/s]\n" + "State\\n(linked to\\nsummaries below)#Incumbent\\nSenator#Incumbent\\nParty#Incumbent\\nElectoral\\nhistory#Most recent election results#2018 intent#Candidates\n", + "Arizona#Jeff Flake#Republican#Jeff Flake (R) 49.2%\\nRichard Carmona (D) 46.1%\\nMarc Victor (L) 4.6%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "California#Dianne Feinstein#Democratic#Dianne Feinstein (D) 62.5%\\nElizabeth Emken (R) 37.5%#1992 (special)\\n1994\\n2000\\n2006\\n2012#Running#[Data unknown/missing. You can help!]\n", + "Connecticut#Chris Murphy#Democratic#Chris Murphy (D) 54.8%\\nLinda McMahon (R) 43.1%\\nPaul Passarelli (L) 1.7%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Delaware#Tom Carper#Democratic#Tom Carper (D) 66.4%\\nKevin L. Wade (R) 29.0%\\nAlex Pires (I) 3.8%#2000\\n2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Florida#Bill Nelson#Democratic#Bill Nelson (D) 55.2%\\nConnie Mack IV (R) 42.2%#2000\\n2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Hawaii#Mazie Hirono#Democratic#Mazie Hirono (D) 62.6%\\nLinda Lingle (R) 37.4%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Indiana#Joe Donnelly#Democratic#Joe Donnelly (D) 50.0%\\nRichard Mourdock (R) 44.2%\\nAndrew Horning (L) 5.7%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Maine#Angus King#Independent#Angus King (I) 52.9%\\nCharles E. Summers, Jr. (R) 30.7%\\nCynthia Dill (D) 13.3%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Maryland#Ben Cardin#Democratic#Ben Cardin (D) 56.0%\\nDan Bongino (R) 26.3%\\nS. Rob Sobhani (I) 16.4%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Massachusetts#Elizabeth Warren#Democratic#Elizabeth Warren (D) 53.7%\\nScott Brown (R) 46.3%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Michigan#Debbie Stabenow#Democratic#Debbie Stabenow (D) 58.8%\\nPete Hoekstra (R) 38.0%\\nScotty Boman (L) 1.8%#2000\\n2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Minnesota#Amy Klobuchar#Democratic#Amy Klobuchar (D) 65.2%\\nKurt Bills (R) 30.5%\\nStephen Williams (Independence) 2.6%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Mississippi#Roger Wicker#Republican#Roger Wicker (R) 57.2%\\nAlbert N. Gore, Jr. (D) 40.6%\\nThomas Cramer (C) 1.2%\\nShawn O'Hara (Reform) 1%#2008 (special)\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Missouri#Claire McCaskill#Democratic#Claire McCaskill (D) 54.8%\\nTodd Akin (R) 39.0%\\nJonathan Dine (L) 6.1%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Montana#Jon Tester#Democratic#Jon Tester (D) 48.6%\\nDenny Rehberg (R) 44.9%\\nDan Cox (L) 6.6%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Nebraska#Deb Fischer#Republican#Deb Fischer (R) 57.8%\\nBob Kerrey (D) 42.2%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Nevada#Dean Heller#Republican#Dean Heller (R) 45.9%\\nShelley Berkley (D) 44.7%\\nDavid Lory VanderBeek (C) 4.9%\\nNone of These Candidates 4.5%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "New Jersey#Bob Menendez#Democratic#Bob Menendez (D) 58.9%\\nJoe Kyrillos (R) 39.4%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "New Mexico#Martin Heinrich#Democratic#Martin Heinrich (D) 51.0%\\nHeather Wilson (R) 45.3%\\nJon Barrie (IAP) 3.6%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "New York#Kirsten Gillibrand#Democratic#Kirsten Gillibrand (D) 71.6%\\nWendy E. Long (R) 26.0%#2010 (special)\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "North Dakota#Heidi Heitkamp#Democratic#Heidi Heitkamp (D) 50.2%\\nRick Berg (R) 49.3%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Ohio#Sherrod Brown#Democratic#Sherrod Brown (D) 50.7%\\nJosh Mandel (R) 44.7%\\nScott A. Rupert (I) 4.6%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Pennsylvania#Bob Casey, Jr.#Democratic#Bob Casey, Jr. (D) 53.7%\\nTom Smith (R) 44.6%\\nRayburn Douglas Smith (L) 1.7%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Rhode Island#Sheldon Whitehouse#Democratic#Sheldon Whitehouse (D) 64.8%\\nBarry Hinckley (R) 35.0%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Tennessee#Bob Corker#Republican#Bob Corker (R) 64.9%\\nMark E. Clayton (D) 30.4%\\nMartin Pleasant (G) 1.7%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Texas#Ted Cruz#Republican#Ted Cruz (R) 56.5%\\nPaul Sadler (D) 40.7%\\nJohn Jay Myers (L) 2.1%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Utah#Orrin Hatch#Republican#Orrin Hatch (R) 65.3%\\nScott Howell (D) 30.0%\\nShaun McCausland (C) 3.2%#1976\\n1982\\n1988\\n1994\\n2000\\n2006\\n2012#Retiring#[Data unknown/missing. You can help!]\n", + "Vermont#Bernie Sanders#Independent#Bernie Sanders (I) 71%\\nJohn MacGovern (R) 24.9%\\nCris Ericson (Marijuana Party) 2%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Virginia#Tim Kaine#Democratic#Tim Kaine (D) 52.9%\\nGeorge Allen (R) 47%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Washington#Maria Cantwell#Democratic#Maria Cantwell (D) 60.5%\\nMichael Baumgartner (R) 39.5%#2000\\n2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "West Virginia#Joe Manchin#Democratic#Joe Manchin (D) 60.6%\\nJohn Raese (R) 36.5%\\nBob Henry Baber (G) 3.0%#2010\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Wisconsin#Tammy Baldwin#Democratic#Tammy Baldwin (D) 51.4%\\nTommy Thompson (R) 45.5%\\nJoseph Kexel (L) 2.1%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Wyoming#John Barrasso#Republican#John Barrasso (R) 75.7%\\nTim Chestnut (D) 21.7%\\nJoel Otto (Wyoming Country) 2.6%#2008 (special)\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "State\\n(linked to\\nsummaries below)#Incumbent#Incumbent#Incumbent#Most recent election results#2018 intent#Candidates\n", + "State\\n(linked to\\nsummaries below)#Senator#Party#Electoral\\nhistory#Most recent election results#2018 intent#Candidates\n", + "\n" ] - }, - { - "data": { - "text/plain": [ - "Dataset({\n", - " features: ['id', 'statement', 'label', 'table_caption', 'table_text', 'pandas_code', 'pandas_eval', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label'],\n", - " num_rows: 88007\n", - "})" - ] - }, - "execution_count": 135, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ - "dd = process_data.filter(lambda x: True if x['nlsep_answ']!='None' else False,num_proc=17)\n", - "dd" + "print(dataset['table_text'][41])" ] }, { "cell_type": "code", - "execution_count": 136, - "id": "ee347ca0-8390-4bc1-b9c1-8421e9b6ab59", + "execution_count": 3, + "id": "7909d573-aa82-4bb3-86ce-81fba4ee1fe2", + "metadata": {}, + "outputs": [], + "source": [ + "import re\n", + "def remove_think_tags(text: str) -> str:\n", + " \"\"\"Удаляет тег ... из ответов моделей reasoning.\"\"\"\n", + " try:\n", + " match = re.search(r\"<\\/think>\", text)\n", + " if match:\n", + " return text[match.end():].strip()\n", + " except Exception as e:\n", + " print(f\"Error removing tags: {e}\")\n", + " return text.strip()\n", + " \n", + "def extract_json_from_text(text):\n", + " # Ищем первую открывающую фигурную (объект) или квадратную (массив) скобку\n", + " match = re.search(r'\\{|$$', text)\n", + " if not match:\n", + " return None\n", + "\n", + " # Отрезаем весь текст до начала JSON\n", + " json_start = match.start()\n", + " potential_json = text[json_start:]\n", + "\n", + " decoder = json.JSONDecoder()\n", + " try:\n", + " # raw_decode читает JSON и возвращает сам объект и индекс, где он закончился\n", + " obj, index = decoder.raw_decode(potential_json)\n", + " return obj\n", + " except json.JSONDecodeError as e:\n", + " print(f\"Ошибка парсинга JSON: {e}\")\n", + " return None" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c6d426f0-8210-430b-ae43-0976a33c24f1", + "metadata": {}, + "outputs": [], + "source": [ + "def correct_def(ex):\n", + " ex['column_defenition_raw'] = ex['column_defenition']\n", + " ex['column_defenition'] = remove_think_tags(ex['column_defenition'])\n", + " return ex" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "639a50e3-bab0-4cbe-b2a7-a83451aa6aa7", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 88116/88116 [00:00<00:00, 162598.23 examples/s]\n" - ] - }, { "data": { "text/plain": [ "Dataset({\n", - " features: ['id', 'statement', 'label', 'table_caption', 'table_text', 'pandas_code', 'pandas_eval', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label'],\n", - " num_rows: 59619\n", + " features: ['id_x', 'context', 'code', 'result', 'error', 'is_correct', 'label', 'nt_id', 'sql_code', 'statement', 'table_text', 'table_caption', 'semtab_xml_attributes_exampples_top1_tresh50', 'column_defenition'],\n", + " num_rows: 1678\n", "})" ] }, - "execution_count": 136, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dd = process_data.filter(lambda x: True if x['nlsep_label']!='None' else False,num_proc=17)\n", - "dd" + "dataset = load_from_disk('WTQ_train_unique_tables_serialize_def')\n", + "dataset" ] }, { "cell_type": "code", - "execution_count": 137, - "id": "f0c4949a-b38b-4c1a-8f19-23cf4514dbaf", + "execution_count": 21, + "id": "4b466779-771a-4faf-ac83-c2dc1faf173c", "metadata": {}, "outputs": [ { "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "87283befaa1340709b87aacbac7a0669", + "version_major": 2, + "version_minor": 0 + }, "text/plain": [ - "67.65967588179218" + "Map (num_proc=16): 0%| | 0/1678 [00:00, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1538\n", - "Can only use .dt accessor with datetimelike values\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 0%| | 3/4257 [00:01<36:14, 1.96 examples/s] " - ] - }, - { - "name": "stdout", + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          id_xcontextcoderesulterroris_correctlabelnt_idsql_codestatementtable_texttable_captionsemtab_xml_attributes_exampples_top1_tresh50column_defenitioncolumn_defenition_rawcolumn_defenition_json
          00csv/204-csv/590.csv{\"PANDA\": \"df[df['League'] == find_word('USL A...2004True2004nt-0select max ( c1_number ) from w where c3 = 'us...what was the last year where this team was a p...Year#Division#League#Regular Season#Playoffs#O...<TABLE><HEADER NAME=\"Year\" EXAMPLES=\"[2002, 20...{\\n \"Year\": \"The calendar year of the season ...{\\n \"Year\": \"The calendar year of the season ...{\"Year\": \"The calendar year of the season or e...
          11csv/204-csv/622.csv{\"PANDA\": \"df[df['Position'] == '1st'].iloc[-1...Bangkok, ThailandTrueBangkok, Thailandnt-1select c3 from w where c4_first_number = 1 ord...in what city did piotr's last 1st place finish...Year#Competition#Venue#Position#Event#Notes\\n2...<TABLE><HEADER NAME=\"Year\" EXAMPLES=\"[2007, 20...{\\n \"Year\": \"The year in which the competitio...{\\n \"Year\": \"The year in which the competitio...{\"Year\": \"The year in which the competition wa...
          22csv/204-csv/772.csv{\"PANDA\": \"df[df['Years won'] < convert_type('...Wolfe TonesTrueWolfe Tonesnt-2select c1 from w where c4_number < ( select c4...which team won previous to crettyard?Team#County#Wins#Years won\\nGreystones#Wicklow...<TABLE><HEADER NAME=\"Team\" EXAMPLES=\"[&quot;Du...{\\n \"Team\": \"The name of a sports team, typic...{\\n \"Team\": \"The name of a sports team, typic...{\"Team\": \"The name of a sports team, typically...
          33csv/203-csv/515.csv{\"PANDA\": \"df[df['City'] == 'United States, Lo...12467True12,467nt-3select ( select c3_number from w where c2_addr...how many more passengers flew to los angeles t...Rank#City#Passengers#Ranking#Airline\\n1#United...<TABLE><HEADER NAME=\"Rank\" EXAMPLES=\"[4, 8, 9]...{\\n \"Rank\": \"The ordinal position of a city i...{\\n \"Rank\": \"The ordinal position of a city i...{\"Rank\": \"The ordinal position of a city in a ...
          44csv/204-csv/495.csv{\"PANDA\": \"df.loc[df['Date'].idxmin(), 'Oppone...Derby CountyTrueDerby Countynt-4select c2 from w order by c1_parsed asc limit 1who was the opponent in the first game of the ...Date#Opponent#Venue#Result#Attendance#Scorers\\...<TABLE><HEADER NAME=\"Date\" EXAMPLES=\"[&quot;28...{\\n \"Date\": \"Match date in day-month-year for...{\\n \"Date\": \"Match date in day-month-year for...{\"Date\": \"Match date in day-month-year format,...
          ...................................................
          167113442csv/202-csv/83.csv{\"PANDA\": \"df[(df['PPG'] > convert_type('20'))...10False11nt-13445select count ( * ) from w where c13_number >= 20how many seasons did webber average over 20 po...Year#Team#GP#GS#MPG#FG%#3P%#FT%#RPG#APG#SPG#BP...<TABLE><HEADER NAME=\"Year\" EXAMPLES=\"[&quot;19...{\\n \"Year\": \"Season year range, denoted by th...{\\n \"Year\": \"Season year range, denoted by th...{\"Year\": \"Season year range, denoted by the st...
          167213635csv/202-csv/143.csv{\"PANDA\": \"df[df['Driver'] == find_word('Micha...1:34:45.026False1:34:45.026nt-13638select c6 from w where c3 = 'michael schumacher'how long did it take michael schumacher to fin...Pos#No#Driver#Constructor#Laps#Time/Retired#Gr...<TABLE><HEADER NAME=\"Pos\" EXAMPLES=\"[&quot;Ret...{\\n \"Pos\": \"Race finishing position; 'Ret' in...{\\n \"Pos\": \"Race finishing position; 'Ret' in...{\"Pos\": \"Race finishing position; 'Ret' indica...
          167313673csv/202-csv/117.csv{\"PANDA\": \"df[df['Fate'] == 'Sunk']['Nationali...United KingdomTrueUnited Kingdomnt-13676select c3 from w where c5 = 'sunk' group by c3...who was sunk the most?Date#Ship#Nationality#Tonnage#Fate\\n19 August ...<TABLE><HEADER NAME=\"Date\" EXAMPLES=\"[&quot;19...{\\n \"Date\": \"The date of the event, formatted...{\\n \"Date\": \"The date of the event, formatted...{\"Date\": \"The date of the event, formatted as ...
          167413809csv/202-csv/277.csv{\"PANDA\": \"df.apply(lambda row: sum(1 for col ...5True5nt-13812nanhow many german women won medals?Event#Gold#Gold.1#Silver#Silver.1#Bronze#Bronz...<TABLE><HEADER NAME=\"Event\" EXAMPLES=\"[&quot;1...{\\n \"Event\": \"The name of the athletic event,...{\\n \"Event\": \"The name of the athletic event,...{\"Event\": \"The name of the athletic event, whi...
          167513949csv/202-csv/278.csv{\"PANDA\": \"convert_type('2001') - convert_type...12True12nt-13952nanhow many years after \"i can't get no... edelwe...Year#Single#Peak chart positions\\nAT#Peak char...<TABLE><HEADER NAME=\"Year\" EXAMPLES=\"[&quot;19...{\\n \"Year\": \"The calendar year or year range ...{\\n \"Year\": \"The calendar year or year range ...{\"Year\": \"The calendar year or year range of t...
          \n", + "

          1676 rows × 16 columns

          \n", + "
          " + ], + "text/plain": [ + " id_x context \\\n", + "0 0 csv/204-csv/590.csv \n", + "1 1 csv/204-csv/622.csv \n", + "2 2 csv/204-csv/772.csv \n", + "3 3 csv/203-csv/515.csv \n", + "4 4 csv/204-csv/495.csv \n", + "... ... ... \n", + "1671 13442 csv/202-csv/83.csv \n", + "1672 13635 csv/202-csv/143.csv \n", + "1673 13673 csv/202-csv/117.csv \n", + "1674 13809 csv/202-csv/277.csv \n", + "1675 13949 csv/202-csv/278.csv \n", + "\n", + " code result \\\n", + "0 {\"PANDA\": \"df[df['League'] == find_word('USL A... 2004 \n", + "1 {\"PANDA\": \"df[df['Position'] == '1st'].iloc[-1... Bangkok, Thailand \n", + "2 {\"PANDA\": \"df[df['Years won'] < convert_type('... Wolfe Tones \n", + "3 {\"PANDA\": \"df[df['City'] == 'United States, Lo... 12467 \n", + "4 {\"PANDA\": \"df.loc[df['Date'].idxmin(), 'Oppone... Derby County \n", + "... ... ... \n", + "1671 {\"PANDA\": \"df[(df['PPG'] > convert_type('20'))... 10 \n", + "1672 {\"PANDA\": \"df[df['Driver'] == find_word('Micha... 1:34:45.026 \n", + "1673 {\"PANDA\": \"df[df['Fate'] == 'Sunk']['Nationali... United Kingdom \n", + "1674 {\"PANDA\": \"df.apply(lambda row: sum(1 for col ... 5 \n", + "1675 {\"PANDA\": \"convert_type('2001') - convert_type... 12 \n", + "\n", + " error is_correct label nt_id \\\n", + "0 True 2004 nt-0 \n", + "1 True Bangkok, Thailand nt-1 \n", + "2 True Wolfe Tones nt-2 \n", + "3 True 12,467 nt-3 \n", + "4 True Derby County nt-4 \n", + "... ... ... ... ... \n", + "1671 False 11 nt-13445 \n", + "1672 False 1:34:45.026 nt-13638 \n", + "1673 True United Kingdom nt-13676 \n", + "1674 True 5 nt-13812 \n", + "1675 True 12 nt-13952 \n", + "\n", + " sql_code \\\n", + "0 select max ( c1_number ) from w where c3 = 'us... \n", + "1 select c3 from w where c4_first_number = 1 ord... \n", + "2 select c1 from w where c4_number < ( select c4... \n", + "3 select ( select c3_number from w where c2_addr... \n", + "4 select c2 from w order by c1_parsed asc limit 1 \n", + "... ... \n", + "1671 select count ( * ) from w where c13_number >= 20 \n", + "1672 select c6 from w where c3 = 'michael schumacher' \n", + "1673 select c3 from w where c5 = 'sunk' group by c3... \n", + "1674 nan \n", + "1675 nan \n", + "\n", + " statement \\\n", + "0 what was the last year where this team was a p... \n", + "1 in what city did piotr's last 1st place finish... \n", + "2 which team won previous to crettyard? \n", + "3 how many more passengers flew to los angeles t... \n", + "4 who was the opponent in the first game of the ... \n", + "... ... \n", + "1671 how many seasons did webber average over 20 po... \n", + "1672 how long did it take michael schumacher to fin... \n", + "1673 who was sunk the most? \n", + "1674 how many german women won medals? \n", + "1675 how many years after \"i can't get no... edelwe... \n", + "\n", + " table_text table_caption \\\n", + "0 Year#Division#League#Regular Season#Playoffs#O... \n", + "1 Year#Competition#Venue#Position#Event#Notes\\n2... \n", + "2 Team#County#Wins#Years won\\nGreystones#Wicklow... \n", + "3 Rank#City#Passengers#Ranking#Airline\\n1#United... \n", + "4 Date#Opponent#Venue#Result#Attendance#Scorers\\... \n", + "... ... ... \n", + "1671 Year#Team#GP#GS#MPG#FG%#3P%#FT%#RPG#APG#SPG#BP... \n", + "1672 Pos#No#Driver#Constructor#Laps#Time/Retired#Gr... \n", + "1673 Date#Ship#Nationality#Tonnage#Fate\\n19 August ... \n", + "1674 Event#Gold#Gold.1#Silver#Silver.1#Bronze#Bronz... \n", + "1675 Year#Single#Peak chart positions\\nAT#Peak char... \n", + "\n", + " semtab_xml_attributes_exampples_top1_tresh50 \\\n", + "0
          \n", + "\n", + "
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          contexttable_textcolumn_defenition_json
          0csv/204-csv/590.csvYear#Division#League#Regular Season#Playoffs#O...{\"Year\": \"The calendar year of the season or e...
          1csv/204-csv/622.csvYear#Competition#Venue#Position#Event#Notes\\n2...{\"Year\": \"The year in which the competition wa...
          2csv/204-csv/772.csvTeam#County#Wins#Years won\\nGreystones#Wicklow...{\"Team\": \"The name of a sports team, typically...
          3csv/203-csv/515.csvRank#City#Passengers#Ranking#Airline\\n1#United...{\"Rank\": \"The ordinal position of a city in a ...
          4csv/204-csv/495.csvDate#Opponent#Venue#Result#Attendance#Scorers\\...{\"Date\": \"Match date in day-month-year format,...
          ............
          1671csv/202-csv/83.csvYear#Team#GP#GS#MPG#FG%#3P%#FT%#RPG#APG#SPG#BP...{\"Year\": \"Season year range, denoted by the st...
          1672csv/202-csv/143.csvPos#No#Driver#Constructor#Laps#Time/Retired#Gr...{\"Pos\": \"Race finishing position; 'Ret' indica...
          1673csv/202-csv/117.csvDate#Ship#Nationality#Tonnage#Fate\\n19 August ...{\"Date\": \"The date of the event, formatted as ...
          1674csv/202-csv/277.csvEvent#Gold#Gold.1#Silver#Silver.1#Bronze#Bronz...{\"Event\": \"The name of the athletic event, whi...
          1675csv/202-csv/278.csvYear#Single#Peak chart positions\\nAT#Peak char...{\"Year\": \"The calendar year or year range of t...
          \n", + "

          1676 rows × 3 columns

          \n", + "" + ], + "text/plain": [ + " context table_text \\\n", + "0 csv/204-csv/590.csv Year#Division#League#Regular Season#Playoffs#O... \n", + "1 csv/204-csv/622.csv Year#Competition#Venue#Position#Event#Notes\\n2... \n", + "2 csv/204-csv/772.csv Team#County#Wins#Years won\\nGreystones#Wicklow... \n", + "3 csv/203-csv/515.csv Rank#City#Passengers#Ranking#Airline\\n1#United... \n", + "4 csv/204-csv/495.csv Date#Opponent#Venue#Result#Attendance#Scorers\\... \n", + "... ... ... \n", + "1671 csv/202-csv/83.csv Year#Team#GP#GS#MPG#FG%#3P%#FT%#RPG#APG#SPG#BP... \n", + "1672 csv/202-csv/143.csv Pos#No#Driver#Constructor#Laps#Time/Retired#Gr... \n", + "1673 csv/202-csv/117.csv Date#Ship#Nationality#Tonnage#Fate\\n19 August ... \n", + "1674 csv/202-csv/277.csv Event#Gold#Gold.1#Silver#Silver.1#Bronze#Bronz... \n", + "1675 csv/202-csv/278.csv Year#Single#Peak chart positions\\nAT#Peak char... \n", + "\n", + " column_defenition_json \n", + "0 {\"Year\": \"The calendar year of the season or e... \n", + "1 {\"Year\": \"The year in which the competition wa... \n", + "2 {\"Team\": \"The name of a sports team, typically... \n", + "3 {\"Rank\": \"The ordinal position of a city in a ... \n", + "4 {\"Date\": \"Match date in day-month-year format,... \n", + "... ... \n", + "1671 {\"Year\": \"Season year range, denoted by the st... \n", + "1672 {\"Pos\": \"Race finishing position; 'Ret' indica... \n", + "1673 {\"Date\": \"The date of the event, formatted as ... \n", + "1674 {\"Event\": \"The name of the athletic event, whi... \n", + "1675 {\"Year\": \"The calendar year or year range of t... \n", + "\n", + "[1676 rows x 3 columns]" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = df_data[['context','table_text','column_defenition_json']]\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "934eb892-aa2f-4e86-84fe-bacf6a73ce25", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          contexttable_textcolumn_defenition_json
          \n", + "
          " + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [context, table_text, column_defenition_json]\n", + "Index: []" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[df['column_defenition_json'] == 'None']" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "d5fdca1f-7569-4366-9e84-9adf71289b62", + "metadata": {}, + "outputs": [], + "source": [ + "from io import StringIO\n", + "import re" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "3aea4268-eb0a-464e-be52-2e2fcac3fe45", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----------\n", + "{'ethnicity', 'judaism', 'n/a', 'other', 'buddhism', 'none\\xa0/atheism', 'christianity', 'islam'}\n", + "{'ethnicity', 'judaism', 'n/a', 'other', 'buddhism', 'none/atheism', 'christianity', 'islam'}\n", + "{'none\\xa0/atheism'}\n", + "----------\n", + "{'u.s.', 'song', 'album', 'year', 'u.s.ac', 'uk', 'u.s.r&b'}\n", + "{'song', 'album', 'year', 'u.s.ac', 'uk', 'u.s.r&b'}\n", + "{'u.s.'}\n", + "----------\n", + "{'squadrons', 'helipads', 'location\\xa0served', 'name', 'coordinates', 'governorate', 'utilization', 'shelters', 'runways'}\n", + "{'squadrons', 'helipads', 'name', 'coordinates', 'locationserved', 'governorate', 'utilization', 'shelters', 'runways'}\n", + "{'location\\xa0served'}\n", + "----------\n", + "{'gdppercapita(us$,ppp)', 'totalgdp(nominal)(billionus$)', 'country', 'gdpgrowth,2007-2011(in\\xa0%)', 'hdi'}\n", + "{'gdppercapita(us$,ppp)', 'totalgdp(nominal)(billionus$)', 'gdpgrowth,2007-2011(in%)', 'country', 'hdi'}\n", + "{'gdpgrowth,2007-2011(in\\xa0%)'}\n", + "----------\n", + "{'stateoftheart', \"hardness(mohs'scale)\", 'density(g/cm3)', 'refractiveindex(es)589.3\\xa0nm', 'thermalcond.', 'dispersion431–687\\xa0nm', 'formula', 'material'}\n", + "{'refractiveindex(es)589.3nm', 'stateoftheart', \"hardness(mohs'scale)\", 'density(g/cm3)', 'dispersion431–687nm', 'thermalcond.', 'formula', 'material'}\n", + "{'dispersion431–687\\xa0nm', 'refractiveindex(es)589.3\\xa0nm'}\n", + "----------\n", + "{'heightofpylons', 'tramway', 'notes', 'spanwidth,horizontalmeasurement', 'city', 'country', 'yearofinauguration', 'heightofcableoverground', 'span\\xa0width,leaningstraightline'}\n", + "{'heightofpylons', 'tramway', 'notes', 'spanwidth,horizontalmeasurement', 'city', 'country', 'heightofcableoverground', 'yearofinauguration', 'spanwidth,leaningstraightline'}\n", + "{'span\\xa0width,leaningstraightline'}\n", + "----------\n", + "{'dimensionsw(mm)×h(mm)×d(mm)', 'weight', 'features', 'releasedate', 'model', 'screensize,\\xa0pixels', 'sensorres.,size', 'lens\\xa0(35\\xa0mm\\xa0equiv.)zoom,aperture'}\n", + "{'dimensionsw(mm)×h(mm)×d(mm)', 'weight', 'features', 'releasedate', 'model', 'screensize,pixels', 'lens(35mmequiv.)zoom,aperture', 'sensorres.,size'}\n", + "{'screensize,\\xa0pixels', 'lens\\xa0(35\\xa0mm\\xa0equiv.)zoom,aperture'}\n", + "----------\n", + "{'188kg', 'akakioskakiasvilis\\xa0(gre)', 'athens,greece', 'snatch', 'worldrecord', '27november1999'}\n", + "{'188kg', 'akakioskakiasvilis(gre)', 'athens,greece', 'snatch', 'worldrecord', '27november1999'}\n", + "{'akakioskakiasvilis\\xa0(gre)'}\n", + "----------\n", + "{'whitworthsize(in)', 'tappingdrillsize', 'pitch(in)', 'corediameter(in)', 'threadsper\\xa0inch'}\n", + "{'whitworthsize(in)', 'threadsperinch', 'tappingdrillsize', 'pitch(in)', 'corediameter(in)'}\n", + "{'threadsper\\xa0inch'}\n", + "----------\n", + "{'township', 'landareakm²(sq\\xa0mi)', 'water\\xa0%', 'populationdensity/km²(/sq\\xa0mi)', 'population', 'populationcenter', 'fips', 'waterareakm²(sq\\xa0mi)', 'geographiccoordinates'}\n", + "{'township', 'waterareakm²(sqmi)', 'population', 'landareakm²(sqmi)', 'populationcenter', 'populationdensity/km²(/sqmi)', 'fips', 'water%', 'geographiccoordinates'}\n", + "{'landareakm²(sq\\xa0mi)', 'waterareakm²(sq\\xa0mi)', 'water\\xa0%', 'populationdensity/km²(/sq\\xa0mi)'}\n", + "----------\n", + "{'touristarrivalsper1000inhab(estimated)2007', 'receiptspercapita2005usd', 'averagereceiptpervisitor2009(usd/turista)', 'internl.tourismreceipts.2010(usd(x1000)', 'worldrankingtourismcompetitiv.ttci2011', 'internl.tourismarrivals2010(x1000)', 'revenuesas\\xa0%exportsofgoodsandservices2003', '%directandindirectemploymentintourism2005', 'selectedlatinamericancountries', 'tourismincome\\xa0%gdp2003', '2011ttciindex'}\n", + "{'revenuesas%exportsofgoodsandservices2003', 'tourismincome%gdp2003', 'touristarrivalsper1000inhab(estimated)2007', 'receiptspercapita2005usd', 'averagereceiptpervisitor2009(usd/turista)', 'internl.tourismreceipts.2010(usd(x1000)', 'worldrankingtourismcompetitiv.ttci2011', 'internl.tourismarrivals2010(x1000)', '%directandindirectemploymentintourism2005', 'selectedlatinamericancountries', '2011ttciindex'}\n", + "{'revenuesas\\xa0%exportsofgoodsandservices2003', 'tourismincome\\xa0%gdp2003'}\n", + "----------\n", + "{'totalcaps', 'win\\xa0%', 'player', 'span', 'caps', '#'}\n", + "{'totalcaps', 'player', 'span', 'win%', 'caps', '#'}\n", + "{'win\\xa0%'}\n", + "----------\n", + "{'year', 'usdollarexchange', 'inflationindex(2000=100)', 'percapitaincome(as\\xa0%ofusa)', 'grossdomesticproduct'}\n", + "{'year', 'usdollarexchange', 'inflationindex(2000=100)', 'percapitaincome(as%ofusa)', 'grossdomesticproduct'}\n", + "{'percapitaincome(as\\xa0%ofusa)'}\n", + "----------\n", + "{'rankin2011', 'profit(thou.\\xa0pln)', 'locationofheadquarters', 'revenue(thou.\\xa0pln)', 'employees', 'nameofconcern'}\n", + "{'rankin2011', 'profit(thou.pln)', 'revenue(thou.pln)', 'locationofheadquarters', 'employees', 'nameofconcern'}\n", + "{'profit(thou.\\xa0pln)', 'revenue(thou.\\xa0pln)'}\n", + "----------\n", + "{'heightft\\xa0(m)', 'notes', 'name', 'year', 'coordinates', 'rank', 'floors'}\n", + "{'notes', 'name', 'year', 'coordinates', 'rank', 'floors', 'heightft(m)'}\n", + "{'heightft\\xa0(m)'}\n", + "----------\n", + "{'gamesplayed', 'assistspergame', '3-point\\xa0%', 'rebounds', 'fieldgoal\\xa0%', 'assists', 'freethrow\\xa0%', 'minutesplayedpergame', 'pointspergame', 'reboundspergame', 'player', 'minutesplayed', 'points'}\n", + "{'gamesplayed', 'assistspergame', 'freethrow%', 'rebounds', 'assists', 'fieldgoal%', '3-point%', 'minutesplayedpergame', 'pointspergame', 'reboundspergame', 'player', 'minutesplayed', 'points'}\n", + "{'3-point\\xa0%', 'freethrow\\xa0%', 'fieldgoal\\xa0%'}\n", + "----------\n", + "{'2010armssales(us$m.)', '2009rank', 'company(country)', '2011rank', 'armssalesasshareofcompany’stotalsales(%),', '2008rank', '2010rank', '2009armssales(us$m.)', '2008armssales(us$m.)', '2007armssales(us$m.)', '2007rank', '2011armssales(us$m.)'}\n", + "{'2010armssales(us$m.)', '2009rank', 'company(country)', '2011rank', '2008rank', '2010rank', '2009armssales(us$m.)', '2008armssales(us$m.)', '2007armssales(us$m.)', '2007rank', 'armssalesasshareofcompany’stotalsales(%)', '2011armssales(us$m.)'}\n", + "{'armssalesasshareofcompany’stotalsales(%),'}\n", + "----------\n", + "{'year', 'unemploymentrate\\xa0%', 'outputgrowthrate\\xa0%', 'inflationrate\\xa0%'}\n", + "{'unemploymentrate%', 'inflationrate%', 'outputgrowthrate%', 'year'}\n", + "{'inflationrate\\xa0%', 'unemploymentrate\\xa0%', 'outputgrowthrate\\xa0%'}\n", + "----------\n", + "{'record', 'win\\xa0%', 'conference', 'champions', 'final', 'semifinals', 'quarterfinals', 'bids'}\n", + "{'record', 'conference', 'champions', 'final', 'semifinals', 'win%', 'quarterfinals', 'bids'}\n", + "{'win\\xa0%'}\n", + "----------\n", + "{'township', 'landareakm²(sq\\xa0mi)', 'water\\xa0%', 'populationdensity/km²(/sq\\xa0mi)', 'population', 'populationcenter', 'fips', 'waterareakm²(sq\\xa0mi)', 'geographiccoordinates'}\n", + "{'township', 'waterareakm²(sqmi)', 'population', 'landareakm²(sqmi)', 'populationcenter', 'populationdensity/km²(/sqmi)', 'fips', 'water%', 'geographiccoordinates'}\n", + "{'landareakm²(sq\\xa0mi)', 'waterareakm²(sq\\xa0mi)', 'water\\xa0%', 'populationdensity/km²(/sq\\xa0mi)'}\n", + "----------\n", + "{'place', 'seats', 'place.1', 'year', 'cabinet', 'vote\\xa0%'}\n", + "{'place', 'seats', 'place.1', 'year', 'cabinet', 'vote%'}\n", + "{'vote\\xa0%'}\n", + "----------\n", + "{'win\\xa0%', 'losses', 'team', 'gb', 'wins'}\n", + "{'losses', 'team', 'win%', 'gb', 'wins'}\n", + "{'win\\xa0%'}\n", + "----------\n", + "{'stations', 'firstsectionopened', 'lastex-tension', 'name.1', 'name', 'color&icon', 'length', 'mark'}\n", + "{'stations', 'firstsectionopened', 'name.1', 'name', 'lastex-extension', 'color&icon', 'length', 'mark'}\n", + "{'lastex-tension'}\n", + "----------\n", + "{'place,theatre', 'premièredate', 'title', 'sub\\xaddivisions', 'libretto', 'opus', 'genre', 'composition'}\n", + "{'subdivisions', 'place,theatre', 'premièredate', 'title', 'libretto', 'opus', 'genre', 'composition'}\n", + "{'sub\\xaddivisions'}\n", + "----------\n", + "{'landarea(km2,2011)', 'population1996', 'province', 'change\\xa0in\\xa0%2006–2011', 'population2011', 'rank', 'population2001', 'population2006', 'type', 'change\\xa0in\\xa0%1996–2011', 'censussubdivision'}\n", + "{'changein%1996–2011', 'landarea(km2,2011)', 'population1996', 'province', 'population2011', 'changein%2006–2011', 'rank', 'population2001', 'population2006', 'type', 'censussubdivision'}\n", + "{'change\\xa0in\\xa0%1996–2011', 'change\\xa0in\\xa0%2006–2011'}\n", + "----------\n", + "{'galaxy', 'year', 'chivas', 'derbywinner', 'draw'}\n", + "{'galaxy', 'derby_winner', 'year', 'chivas', 'draw'}\n", + "{'derbywinner'}\n", + "----------\n", + "{'township', 'landareakm²(sq\\xa0mi)', 'water\\xa0%', 'populationdensity/km²(/sq\\xa0mi)', 'population', 'fips', 'waterareakm²(sq\\xa0mi)', 'geographiccoordinates'}\n", + "{'fips', 'township', 'waterareakm²(sqmi)', 'population', 'populationdensity/km²(/sqmi)', 'landareakm²(sqmi)', 'water%', 'geographiccoordinates'}\n", + "{'landareakm²(sq\\xa0mi)', 'waterareakm²(sq\\xa0mi)', 'water\\xa0%', 'populationdensity/km²(/sq\\xa0mi)'}\n", + "----------\n", + "{'60\\xa0yd(55\\xa0m)', '100\\xa0yd(91\\xa0m)', '50\\xa0yd(46\\xa0m)', 'round', '40\\xa0yd(37\\xa0m)', '80\\xa0yd(73\\xa0m)'}\n", + "{'50yd(46m)', 'round', '80yd(73m)', '40yd(37m)', '100yd(91m)', '60yd(55m)'}\n", + "{'60\\xa0yd(55\\xa0m)', '100\\xa0yd(91\\xa0m)', '50\\xa0yd(46\\xa0m)', '40\\xa0yd(37\\xa0m)', '80\\xa0yd(73\\xa0m)'}\n", + "----------\n", + "{'against', 'win\\xa0%', 'lost', 'won', 'played', 'drawn'}\n", + "{'against', 'lost', 'won', 'win%', 'played', 'drawn'}\n", + "{'win\\xa0%'}\n", + "----------\n", + "{'pct', 'w', 'centraldivisionvte', 'div', 'gb', 'road', 'home', 'l'}\n", + "{'pct', 'w', 'road', 'div', 'gb', 'centraldivision', 'home', 'l'}\n", + "{'centraldivisionvte'}\n", + "----------\n", + "{'postseasonwon', 'postseasonwin\\xa0%', 'year', 'team', 'regularseasonwon', 'regularseasonwin\\xa0%', 'regularseasonfinish', 'postseasonresult', 'postseasonlost', 'regularseasonlost'}\n", + "{'regularseasonwin%', 'postseasonwin%', 'postseasonwon', 'year', 'team', 'regularseasonwon', 'regularseasonfinish', 'postseasonresult', 'postseasonlost', 'regularseasonlost'}\n", + "{'regularseasonwin\\xa0%', 'postseasonwin\\xa0%'}\n", + "----------\n", + "{'candidate', '∆%', 'votes', '%', 'party'}\n", + "{'candidate', 'delta_percentage', 'votes', 'party', 'percentage'}\n", + "{'%', '∆%'}\n", + "----------\n", + "{'postseasonwon', 'postseasonwin\\xa0%', 'year', 'team', 'regularseasonwon', 'regularseasonwin\\xa0%', 'regularseasonfinish', 'postseasonresult', 'regularseasonties', 'postseasonlost', 'regularseasonlost'}\n", + "{'regularseasonwin%', 'postseasonwin%', 'postseasonwon', 'year', 'team', 'regularseasonwon', 'regularseasonfinish', 'postseasonresult', 'regularseasonties', 'postseasonlost', 'regularseasonlost'}\n", + "{'regularseasonwin\\xa0%', 'postseasonwin\\xa0%'}\n" + ] + } + ], + "source": [ + "for i,data in df.iterrows():\n", + " ddd = pd.read_csv(StringIO(data['table_text']), delimiter='#')\n", + " col = set([re.sub('\\\\n','',re.sub('\\\\\\\\n','',re.sub(' ','',k))).lower() for k in ddd.columns])\n", + " defgen_key = set([re.sub('\\\\n','',re.sub('\\\\\\\\n','',re.sub(' ','',k))).lower() for k in json.loads(data['column_defenition_json']).keys()])\n", + " \n", + " if len(col-defgen_key)>0:\n", + " print('-'*10)\n", + " print(col)\n", + " print(defgen_key)\n", + " print(col-defgen_key)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "7541a829-2882-487b-972a-d223c7e9765e", + "metadata": {}, + "outputs": [], + "source": [ + "df.to_parquet(\"df_wtq_train.parquet.gzip\", compression=\"gzip\")" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "87acfaa6-666d-4123-8c50-347bb188b633", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          contexttable_textcolumn_defenition_json
          0csv/203-csv/733.csvRank#Cyclist#Team#Time#UCI ProTour\\nPoints\\n1#...{\"Rank\": \"The position of the cyclist in the c...
          1csv/204-csv/149.csvDescription Losses#1939/40#1940/41#1941/42#194...{\"Description Losses\": \"The category or type o...
          2csv/203-csv/435.csvYear#Division#League#Reg. Season#Playoffs#Nati...{\"Year\": \"The season year or year range (e.g.,...
          3csv/204-csv/803.csv\"Series #\"#\"Season #\"#Title#Notes#Original air...{\"Series #\": \"The sequential episode number wi...
          4csv/204-csv/272.csvDate#Competition#Location#Country#Event#Placin...{\"Date\": \"The date of the event in 'Day Month ...
          ............
          415csv/202-csv/268.csv\\nReading#Year 1\\n2013, 2016, 2019, 2022 . . ....{\"Reading\": \"The sequential reading number (in...
          416csv/203-csv/225.csvNo.#Year#Name#Held at#Number of teams#Winner#R...{\"No.\": \"The sequential identifier or position...
          417csv/202-csv/180.csvRailroad#Qty.#Road numbers#Notes\\nBurlington N...{\"Railroad\": \"The name of the railroad company...
          418csv/202-csv/17.csvDate#Label#Format#Country#Catalog#Notes\\nNovem...{\"Date\": \"Release date formatted as 'Month Day...
          419csv/202-csv/273.csvParty#Candidate#Votes#%#∆%#Expenditures\\nNew D...{\"Party\": \"The political party or vote categor...
          \n", + "

          420 rows × 3 columns

          \n", + "
          " + ], + "text/plain": [ + " context table_text \\\n", + "0 csv/203-csv/733.csv Rank#Cyclist#Team#Time#UCI ProTour\\nPoints\\n1#... \n", + "1 csv/204-csv/149.csv Description Losses#1939/40#1940/41#1941/42#194... \n", + "2 csv/203-csv/435.csv Year#Division#League#Reg. Season#Playoffs#Nati... \n", + "3 csv/204-csv/803.csv \"Series #\"#\"Season #\"#Title#Notes#Original air... \n", + "4 csv/204-csv/272.csv Date#Competition#Location#Country#Event#Placin... \n", + ".. ... ... \n", + "415 csv/202-csv/268.csv \\nReading#Year 1\\n2013, 2016, 2019, 2022 . . .... \n", + "416 csv/203-csv/225.csv No.#Year#Name#Held at#Number of teams#Winner#R... \n", + "417 csv/202-csv/180.csv Railroad#Qty.#Road numbers#Notes\\nBurlington N... \n", + "418 csv/202-csv/17.csv Date#Label#Format#Country#Catalog#Notes\\nNovem... \n", + "419 csv/202-csv/273.csv Party#Candidate#Votes#%#∆%#Expenditures\\nNew D... \n", + "\n", + " column_defenition_json \n", + "0 {\"Rank\": \"The position of the cyclist in the c... \n", + "1 {\"Description Losses\": \"The category or type o... \n", + "2 {\"Year\": \"The season year or year range (e.g.,... \n", + "3 {\"Series #\": \"The sequential episode number wi... \n", + "4 {\"Date\": \"The date of the event in 'Day Month ... \n", + ".. ... \n", + "415 {\"Reading\": \"The sequential reading number (in... \n", + "416 {\"No.\": \"The sequential identifier or position... \n", + "417 {\"Railroad\": \"The name of the railroad company... \n", + "418 {\"Date\": \"Release date formatted as 'Month Day... \n", + "419 {\"Party\": \"The political party or vote categor... \n", + "\n", + "[420 rows x 3 columns]" + ] + }, + "execution_count": 131, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "dd = pd.read_parquet(\"df_wtq_test.parquet.gzip\")\n", + "dd" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "feb2005e-0867-4401-abbd-e6ee3ca5aa5c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'statement', 'context', 'label', 'table', 'table_text', 'semtab_xml_attributes_semantic_datatype_exampples_top1_tresh50'],\n", + " num_rows: 4339\n", + "})" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset = load_from_disk('WTQ_test_xml')\n", + "dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "b17101b2-edb0-4ea9-819b-7ee388904226", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'
          '" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset['semtab_xml_elements_semantic_datatype_exampples_top1_tresh50'][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "id": "d3476678-91cb-46c8-be72-661439c6b599", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[2, 3, 4]" + ] + }, + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sorted([3,2,4])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "14ac5518-6e01-4d9a-bb71-81bd91eaabdb", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a6cdd6cc-9d84-465a-9a9e-d673e19d6efd", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e2616af-19bf-4a23-b878-64ba201bb595", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ea3ef706-94a0-4cfb-9a85-822976d14e1e", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "06068db6-20c2-4333-aa0d-4105277fe603", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "423049f3-88ae-4739-847d-99706ccb10ab", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b0b2ce5c-b963-4dd1-b460-dfa02ff045f1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff08008f-984a-4bf5-bf83-a9ada7311ebf", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b9348354-7637-49ed-8567-6f8e4edf5c78", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "885870d9-ae8c-4e47-8436-9cf0ab0b12ad", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dbc32841-bb97-486e-bfd2-1ddff4895ca2", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "726c6089-381e-4310-8864-86f269cbc22d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4881618c-a2af-4c4b-b767-43a43f72061a", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "558fc42b-c0eb-4ad6-af84-0e671ee0e31c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a704be2c-963d-497a-b841-5a74dfa623f3", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fb88bc9b-e4bb-4b9c-a30d-571f9f018e66", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "18f1c96e-69f3-4a4b-8f0f-617bc6c577c4", + "metadata": {}, + "source": [ + "# Make col def WTQ test" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "80c8036e-86bc-470d-9447-449cc9615816", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'object': 'list',\n", + " 'data': [{'id': 'Qwen/Qwen3-30B-A3B-Thinking-2507',\n", + " 'object': 'model',\n", + " 'created': 1779597767,\n", + " 'owned_by': 'vllm',\n", + " 'root': 'Qwen/Qwen3-30B-A3B-Thinking-2507',\n", + " 'parent': None,\n", + " 'max_model_len': 25000,\n", + " 'permission': [{'id': 'modelperm-998253c3281ce54f',\n", + " 'object': 'model_permission',\n", + " 'created': 1779597767,\n", + " 'allow_create_engine': False,\n", + " 'allow_sampling': True,\n", + " 'allow_logprobs': True,\n", + " 'allow_search_indices': False,\n", + " 'allow_view': True,\n", + " 'allow_fine_tuning': False,\n", + " 'organization': '*',\n", + " 'group': None,\n", + " 'is_blocking': False}]}]}" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import requests\n", + "x = requests.get('http://127.0.0.1:9124/v1/models')\n", + "x.json()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "2af56ae5-4f97-4c24-b415-35396f967f55", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from io import StringIO\n", + "from datasets import Dataset,load_from_disk" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "1e139a7f-35bf-427f-9267-ba32f3e8c1a8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'id': 0,\n", + " 'table': 'csv/204-csv/590.csv',\n", + " 'code': '{\"PANDA\": \"df[df[\\'League\\'] == find_word(\\'USL A-League\\')][\\'Year\\'].max()\"}',\n", + " 'result': '2004',\n", + " 'error': None,\n", + " 'is_correct': True,\n", + " 'target_value': '2004'}" + ] + }, + "execution_count": 142, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = load_from_disk('../datasets/wtq/wtq_train_correct_pandas')\n", + "data[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 363, + "id": "3c9e53c4-b5ae-4b02-8648-a341c98ca892", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests'" + ] + }, + "execution_count": 363, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pwd" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e0748439-4a9e-40cc-bf81-19d0db9574eb", + "metadata": {}, + "outputs": [], + "source": [ + "WTQ_DIR = '/home/poddubny/datasets/WikiTableQuestions/'" + ] + }, + { + "cell_type": "code", + "execution_count": 371, + "id": "2f59b21a-7364-4072-8c9b-56c975bd2027", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: lxml in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (6.1.1)\n", + "Requirement already satisfied: html5lib in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (1.1)\n", + "Collecting beautifulsoup4\n", + " Downloading beautifulsoup4-4.14.3-py3-none-any.whl (107 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m107.7/107.7 KB\u001b[0m \u001b[31m740.5 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: webencodings in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from html5lib) (0.5.1)\n", + "Requirement already satisfied: six>=1.9 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from html5lib) (1.17.0)\n", + "Collecting soupsieve>=1.6.1\n", + " Downloading soupsieve-2.8.3-py3-none-any.whl (37 kB)\n", + "Requirement already satisfied: typing-extensions>=4.0.0 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from beautifulsoup4) (4.15.0)\n", + "Installing collected packages: soupsieve, beautifulsoup4\n", + "Successfully installed beautifulsoup4-4.14.3 soupsieve-2.8.3\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "pip install lxml html5lib beautifulsoup4" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "8c523954-e050-4e8d-bcb0-20d81117afb6", + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "import pandas as pd\n", + "\n", + "filepath = Path(WTQ_DIR) / 'csv/203-csv/733.html'\n", + "tables = pd.read_html(filepath.open(encoding='utf-8'))[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "77fdce27-e960-4045-b405-799a9897b3d6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Â\\xa0Alejandro ValverdeÂ\\xa0(ESP)',\n", + " 'Â\\xa0Alexandr KolobnevÂ\\xa0(RUS)',\n", + " 'Â\\xa0Davide RebellinÂ\\xa0(ITA)',\n", + " 'Â\\xa0Paolo BettiniÂ\\xa0(ITA)',\n", + " 'Â\\xa0Franco PellizottiÂ\\xa0(ITA)',\n", + " 'Â\\xa0Denis MenchovÂ\\xa0(RUS)',\n", + " 'Â\\xa0Samuel SánchezÂ\\xa0(ESP)',\n", + " 'Â\\xa0Stéphane GoubertÂ\\xa0(FRA)',\n", + " 'Â\\xa0Haimar ZubeldiaÂ\\xa0(ESP)',\n", + " 'Â\\xa0David MoncoutiéÂ\\xa0(FRA)']" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tables['Cyclist'].to_list()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "b43affd6-43b7-40d0-9e9d-363695934c8b", + "metadata": {}, + "outputs": [], + "source": [ + "def read_md_table(md_table):\n", + " dd = pd.read_table(StringIO(md_table), sep=\"|\", header=0, skipinitialspace=True).dropna(axis=1, how='all').iloc[1:]\n", + " dd.columns = dd.columns.str.strip()\n", + " dd = dd.apply(lambda x: x.str.strip() if x.dtype == \"object\" else x)\n", + " return dd\n", + "def read_html_table(html_table,WTQ_DIR = '/home/poddubny/datasets/WikiTableQuestions/'):\n", + " \n", + " filepath = Path(WTQ_DIR) / html_table\n", + " return pd.read_html(filepath.open(encoding='utf-8'))[0]\n", + "\n", + "def read_csv_table(html_table,WTQ_DIR = '/home/poddubny/datasets/WikiTableQuestions/',sep = '\\t'):\n", + " \n", + " filepath = Path(WTQ_DIR) / html_table\n", + " return pd.read_csv(filepath,sep=sep)\n", + "def convert_to_repanda_table_text(obj):\n", + " try:\n", + " #df = read_html_table(obj['context'][:-3]+'html')\n", + " df = read_csv_table(obj['context'][:-3]+'tsv')\n", + " obj['table_text'] = df.to_csv(sep='#',index=False)\n", + " except Exception as e:\n", + " print (e)\n", + " obj['table_text'] = 'None'\n", + " obj['table_caption'] = ''\n", + " return obj" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "139858ed-bc2f-4e4b-8b2f-216521257b06", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          idquerycontexttargetValuetable
          0nu-0which country had the most cyclists finish wit...csv/203-csv/733.csvItaly| Rank | Cyclist | Team ...
          1nu-1how many people were murdered in 1940/41?csv/204-csv/149.csv100,000| Description Losses | 1939/4...
          2nu-2how long did it take for the new york american...csv/203-csv/435.csv17 years| Year | Division | League | Reg. S...
          3nu-3alfie's birthday party aired on january 19. wh...csv/204-csv/803.csvJanuary 26, 1995| Series # | Season # | Title ...
          4nu-4what is the number of 1st place finishes acros...csv/204-csv/272.csv17| Date | Competition ...
          ..................
          4339nu-4339what is the total amount of attendance from ga...csv/203-csv/575.csv5532| Iteration | Dates | Location ...
          4340nu-4340how many drivers are listed as \"did not qualif...csv/204-csv/953.csv5| Pos | No | Driver | Constr...
          4341nu-4341who was the only person from the us to earn le...csv/204-csv/900.csvBob Tway| Place | Player | Country | S...
          4342nu-4342how long did it take the 5th place swimmer to ...csv/204-csv/65.csv43.12| Rank | Lane | Name ...
          4343nu-4343how many more awards did she win in 2009 than ...csv/203-csv/63.csv6| Year | Award ...
          \n", + "

          4344 rows × 5 columns

          \n", + "
          " + ], + "text/plain": [ + " id query \\\n", + "0 nu-0 which country had the most cyclists finish wit... \n", + "1 nu-1 how many people were murdered in 1940/41? \n", + "2 nu-2 how long did it take for the new york american... \n", + "3 nu-3 alfie's birthday party aired on january 19. wh... \n", + "4 nu-4 what is the number of 1st place finishes acros... \n", + "... ... ... \n", + "4339 nu-4339 what is the total amount of attendance from ga... \n", + "4340 nu-4340 how many drivers are listed as \"did not qualif... \n", + "4341 nu-4341 who was the only person from the us to earn le... \n", + "4342 nu-4342 how long did it take the 5th place swimmer to ... \n", + "4343 nu-4343 how many more awards did she win in 2009 than ... \n", + "\n", + " context targetValue \\\n", + "0 csv/203-csv/733.csv Italy \n", + "1 csv/204-csv/149.csv 100,000 \n", + "2 csv/203-csv/435.csv 17 years \n", + "3 csv/204-csv/803.csv January 26, 1995 \n", + "4 csv/204-csv/272.csv 17 \n", + "... ... ... \n", + "4339 csv/203-csv/575.csv 5532 \n", + "4340 csv/204-csv/953.csv 5 \n", + "4341 csv/204-csv/900.csv Bob Tway \n", + "4342 csv/204-csv/65.csv 43.12 \n", + "4343 csv/203-csv/63.csv 6 \n", + "\n", + " table \n", + "0 | Rank | Cyclist | Team ... \n", + "1 | Description Losses | 1939/4... \n", + "2 | Year | Division | League | Reg. S... \n", + "3 | Series # | Season # | Title ... \n", + "4 | Date | Competition ... \n", + "... ... \n", + "4339 | Iteration | Dates | Location ... \n", + "4340 | Pos | No | Driver | Constr... \n", + "4341 | Place | Player | Country | S... \n", + "4342 | Rank | Lane | Name ... \n", + "4343 | Year | Award ... \n", + "\n", + "[4344 rows x 5 columns]" + ] + }, + "execution_count": 132, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = pd.read_json('../wtq_test.jsonl',lines=True)\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "id": "9f0afcc9-b355-4a3d-87a6-47e990dec01a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          idstatementcontextlabeltable
          0nu-0which country had the most cyclists finish wit...csv/203-csv/733.csvItaly| Rank | Cyclist | Team ...
          1nu-1how many people were murdered in 1940/41?csv/204-csv/149.csv100,000| Description Losses | 1939/4...
          2nu-2how long did it take for the new york american...csv/203-csv/435.csv17 years| Year | Division | League | Reg. S...
          3nu-3alfie's birthday party aired on january 19. wh...csv/204-csv/803.csvJanuary 26, 1995| Series # | Season # | Title ...
          4nu-4what is the number of 1st place finishes acros...csv/204-csv/272.csv17| Date | Competition ...
          ..................
          4339nu-4339what is the total amount of attendance from ga...csv/203-csv/575.csv5532| Iteration | Dates | Location ...
          4340nu-4340how many drivers are listed as \"did not qualif...csv/204-csv/953.csv5| Pos | No | Driver | Constr...
          4341nu-4341who was the only person from the us to earn le...csv/204-csv/900.csvBob Tway| Place | Player | Country | S...
          4342nu-4342how long did it take the 5th place swimmer to ...csv/204-csv/65.csv43.12| Rank | Lane | Name ...
          4343nu-4343how many more awards did she win in 2009 than ...csv/203-csv/63.csv6| Year | Award ...
          \n", + "

          4344 rows × 5 columns

          \n", + "
          " + ], + "text/plain": [ + " id statement \\\n", + "0 nu-0 which country had the most cyclists finish wit... \n", + "1 nu-1 how many people were murdered in 1940/41? \n", + "2 nu-2 how long did it take for the new york american... \n", + "3 nu-3 alfie's birthday party aired on january 19. wh... \n", + "4 nu-4 what is the number of 1st place finishes acros... \n", + "... ... ... \n", + "4339 nu-4339 what is the total amount of attendance from ga... \n", + "4340 nu-4340 how many drivers are listed as \"did not qualif... \n", + "4341 nu-4341 who was the only person from the us to earn le... \n", + "4342 nu-4342 how long did it take the 5th place swimmer to ... \n", + "4343 nu-4343 how many more awards did she win in 2009 than ... \n", + "\n", + " context label \\\n", + "0 csv/203-csv/733.csv Italy \n", + "1 csv/204-csv/149.csv 100,000 \n", + "2 csv/203-csv/435.csv 17 years \n", + "3 csv/204-csv/803.csv January 26, 1995 \n", + "4 csv/204-csv/272.csv 17 \n", + "... ... ... \n", + "4339 csv/203-csv/575.csv 5532 \n", + "4340 csv/204-csv/953.csv 5 \n", + "4341 csv/204-csv/900.csv Bob Tway \n", + "4342 csv/204-csv/65.csv 43.12 \n", + "4343 csv/203-csv/63.csv 6 \n", + "\n", + " table \n", + "0 | Rank | Cyclist | Team ... \n", + "1 | Description Losses | 1939/4... \n", + "2 | Year | Division | League | Reg. S... \n", + "3 | Series # | Season # | Title ... \n", + "4 | Date | Competition ... \n", + "... ... \n", + "4339 | Iteration | Dates | Location ... \n", + "4340 | Pos | No | Driver | Constr... \n", + "4341 | Place | Player | Country | S... \n", + "4342 | Rank | Lane | Name ... \n", + "4343 | Year | Award ... \n", + "\n", + "[4344 rows x 5 columns]" + ] + }, + "execution_count": 134, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.columns = ['id','statement','context','label','table']\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "id": "675259c7-3926-47ba-99ad-8f35060333b2", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6bdda256f58f40b09f70b55cf9fbf033", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Map (num_proc=16): 0%| | 0/4344 [00:00
          \n" + ] + } + ], + "source": [ + "print(dataset['semtab_xml_attributes_exampples_top1_tresh50'][41])" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "1e072931-814a-4f25-a8e2-8c4827004fc9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "State\\n(linked to\\nsummaries below)#Incumbent\\nSenator#Incumbent\\nParty#Incumbent\\nElectoral\\nhistory#Most recent election results#2018 intent#Candidates\n", + "Arizona#Jeff Flake#Republican#Jeff Flake (R) 49.2%\\nRichard Carmona (D) 46.1%\\nMarc Victor (L) 4.6%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "California#Dianne Feinstein#Democratic#Dianne Feinstein (D) 62.5%\\nElizabeth Emken (R) 37.5%#1992 (special)\\n1994\\n2000\\n2006\\n2012#Running#[Data unknown/missing. You can help!]\n", + "Connecticut#Chris Murphy#Democratic#Chris Murphy (D) 54.8%\\nLinda McMahon (R) 43.1%\\nPaul Passarelli (L) 1.7%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Delaware#Tom Carper#Democratic#Tom Carper (D) 66.4%\\nKevin L. Wade (R) 29.0%\\nAlex Pires (I) 3.8%#2000\\n2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Florida#Bill Nelson#Democratic#Bill Nelson (D) 55.2%\\nConnie Mack IV (R) 42.2%#2000\\n2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Hawaii#Mazie Hirono#Democratic#Mazie Hirono (D) 62.6%\\nLinda Lingle (R) 37.4%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Indiana#Joe Donnelly#Democratic#Joe Donnelly (D) 50.0%\\nRichard Mourdock (R) 44.2%\\nAndrew Horning (L) 5.7%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Maine#Angus King#Independent#Angus King (I) 52.9%\\nCharles E. Summers, Jr. (R) 30.7%\\nCynthia Dill (D) 13.3%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Maryland#Ben Cardin#Democratic#Ben Cardin (D) 56.0%\\nDan Bongino (R) 26.3%\\nS. Rob Sobhani (I) 16.4%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Massachusetts#Elizabeth Warren#Democratic#Elizabeth Warren (D) 53.7%\\nScott Brown (R) 46.3%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Michigan#Debbie Stabenow#Democratic#Debbie Stabenow (D) 58.8%\\nPete Hoekstra (R) 38.0%\\nScotty Boman (L) 1.8%#2000\\n2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Minnesota#Amy Klobuchar#Democratic#Amy Klobuchar (D) 65.2%\\nKurt Bills (R) 30.5%\\nStephen Williams (Independence) 2.6%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Mississippi#Roger Wicker#Republican#Roger Wicker (R) 57.2%\\nAlbert N. Gore, Jr. (D) 40.6%\\nThomas Cramer (C) 1.2%\\nShawn O'Hara (Reform) 1%#2008 (special)\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Missouri#Claire McCaskill#Democratic#Claire McCaskill (D) 54.8%\\nTodd Akin (R) 39.0%\\nJonathan Dine (L) 6.1%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Montana#Jon Tester#Democratic#Jon Tester (D) 48.6%\\nDenny Rehberg (R) 44.9%\\nDan Cox (L) 6.6%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Nebraska#Deb Fischer#Republican#Deb Fischer (R) 57.8%\\nBob Kerrey (D) 42.2%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Nevada#Dean Heller#Republican#Dean Heller (R) 45.9%\\nShelley Berkley (D) 44.7%\\nDavid Lory VanderBeek (C) 4.9%\\nNone of These Candidates 4.5%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "New Jersey#Bob Menendez#Democratic#Bob Menendez (D) 58.9%\\nJoe Kyrillos (R) 39.4%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "New Mexico#Martin Heinrich#Democratic#Martin Heinrich (D) 51.0%\\nHeather Wilson (R) 45.3%\\nJon Barrie (IAP) 3.6%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "New York#Kirsten Gillibrand#Democratic#Kirsten Gillibrand (D) 71.6%\\nWendy E. Long (R) 26.0%#2010 (special)\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "North Dakota#Heidi Heitkamp#Democratic#Heidi Heitkamp (D) 50.2%\\nRick Berg (R) 49.3%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Ohio#Sherrod Brown#Democratic#Sherrod Brown (D) 50.7%\\nJosh Mandel (R) 44.7%\\nScott A. Rupert (I) 4.6%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Pennsylvania#Bob Casey, Jr.#Democratic#Bob Casey, Jr. (D) 53.7%\\nTom Smith (R) 44.6%\\nRayburn Douglas Smith (L) 1.7%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Rhode Island#Sheldon Whitehouse#Democratic#Sheldon Whitehouse (D) 64.8%\\nBarry Hinckley (R) 35.0%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Tennessee#Bob Corker#Republican#Bob Corker (R) 64.9%\\nMark E. Clayton (D) 30.4%\\nMartin Pleasant (G) 1.7%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Texas#Ted Cruz#Republican#Ted Cruz (R) 56.5%\\nPaul Sadler (D) 40.7%\\nJohn Jay Myers (L) 2.1%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Utah#Orrin Hatch#Republican#Orrin Hatch (R) 65.3%\\nScott Howell (D) 30.0%\\nShaun McCausland (C) 3.2%#1976\\n1982\\n1988\\n1994\\n2000\\n2006\\n2012#Retiring#[Data unknown/missing. You can help!]\n", + "Vermont#Bernie Sanders#Independent#Bernie Sanders (I) 71%\\nJohn MacGovern (R) 24.9%\\nCris Ericson (Marijuana Party) 2%#2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Virginia#Tim Kaine#Democratic#Tim Kaine (D) 52.9%\\nGeorge Allen (R) 47%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Washington#Maria Cantwell#Democratic#Maria Cantwell (D) 60.5%\\nMichael Baumgartner (R) 39.5%#2000\\n2006\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "West Virginia#Joe Manchin#Democratic#Joe Manchin (D) 60.6%\\nJohn Raese (R) 36.5%\\nBob Henry Baber (G) 3.0%#2010\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Wisconsin#Tammy Baldwin#Democratic#Tammy Baldwin (D) 51.4%\\nTommy Thompson (R) 45.5%\\nJoseph Kexel (L) 2.1%#2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "Wyoming#John Barrasso#Republican#John Barrasso (R) 75.7%\\nTim Chestnut (D) 21.7%\\nJoel Otto (Wyoming Country) 2.6%#2008 (special)\\n2012#[Data unknown/missing. You can help!]#[Data unknown/missing. You can help!]\n", + "State\\n(linked to\\nsummaries below)#Incumbent#Incumbent#Incumbent#Most recent election results#2018 intent#Candidates\n", + "State\\n(linked to\\nsummaries below)#Senator#Party#Electoral\\nhistory#Most recent election results#2018 intent#Candidates\n", + "\n" + ] + } + ], + "source": [ + "print(dataset['table_text'][41])" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "cc5709bf-85ec-40b4-97b2-998199d2de38", + "metadata": {}, + "outputs": [], + "source": [ + "import re\n", + "def remove_think_tags(text: str) -> str:\n", + " \"\"\"Удаляет тег ... из ответов моделей reasoning.\"\"\"\n", + " try:\n", + " match = re.search(r\"<\\/think>\", text)\n", + " if match:\n", + " return text[match.end():].strip()\n", + " except Exception as e:\n", + " print(f\"Error removing tags: {e}\")\n", + " return text.strip()\n", + " \n", + "def extract_json_from_text(text):\n", + " # Ищем первую открывающую фигурную (объект) или квадратную (массив) скобку\n", + " match = re.search(r'\\{|$$', text)\n", + " if not match:\n", + " return None\n", + "\n", + " # Отрезаем весь текст до начала JSON\n", + " json_start = match.start()\n", + " potential_json = text[json_start:]\n", + "\n", + " decoder = json.JSONDecoder()\n", + " try:\n", + " # raw_decode читает JSON и возвращает сам объект и индекс, где он закончился\n", + " obj, index = decoder.raw_decode(potential_json)\n", + " return obj\n", + " except json.JSONDecodeError as e:\n", + " print(f\"Ошибка парсинга JSON: {e}\")\n", + " return None" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "217cf949-b4ed-4501-bf6d-996907d4be7b", + "metadata": {}, + "outputs": [], + "source": [ + "def correct_def(ex):\n", + " ex['column_defenition_raw'] = ex['column_defenition']\n", + " ex['column_defenition'] = remove_think_tags(ex['column_defenition'])\n", + " return ex" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "77cbb75d-5361-47f5-98c6-3397a439c0c7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'query', 'context', 'targetValue', 'table', 'table_text', 'semtab_xml_attributes_exampples_top1_tresh50', 'column_defenition'],\n", + " num_rows: 420\n", + "})" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset = load_from_disk('WTQ_test_unique_tables_serialize_def')\n", + "dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "7fc6aa83-90c3-4b6e-94f0-881de255e743", + "metadata": {}, + "outputs": [], + "source": [ + "dataset = dataset.map(lambda x : correct_def(x),num_proc=16)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "4f082a7e-6b33-4344-b2d6-20924237def8", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "04a2bd74999a4f788691122483df582c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Saving the dataset (0/1 shards): 0%| | 0/420 [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          idquerycontexttargetValuetabletable_textsemtab_xml_attributes_exampples_top1_tresh50column_defenitioncolumn_defenition_rawcolumn_defenition_json
          0nu-0which country had the most cyclists finish wit...csv/203-csv/733.csvItaly| Rank | Cyclist | Team ...Rank#Cyclist#Team#Time#UCI ProTour\\nPoints\\n1#...<TABLE><HEADER NAME=\"Rank\" EXAMPLES=\"[9, 2, 3]...{\\n \"Rank\": \"The position of the cyclist in t...We are given a table with the following header...{\"Rank\": \"The position of the cyclist in the c...
          1nu-1how many people were murdered in 1940/41?csv/204-csv/149.csv100,000| Description Losses | 1939/4...Description Losses#1939/40#1940/41#1941/42#194...<TABLE><HEADER NAME=\"Description Losses\" EXAMP...{\\n \"Description Losses\": \"The category or ty...We are given a table with the following header...{\"Description Losses\": \"The category or type o...
          2nu-2how long did it take for the new york american...csv/203-csv/435.csv17 years| Year | Division | League | Reg. S...Year#Division#League#Reg. Season#Playoffs#Nati...<TABLE><HEADER NAME=\"Year\" EXAMPLES=\"[&quot;19...{\\n \"Year\": \"The season year or year range (e...Okay, let's tackle this problem. So, I need to...{\"Year\": \"The season year or year range (e.g.,...
          3nu-3alfie's birthday party aired on january 19. wh...csv/204-csv/803.csvJanuary 26, 1995| Series # | Season # | Title ...\"Series #\"#\"Season #\"#Title#Notes#Original air...<TABLE><HEADER NAME=\"Series #\" EXAMPLES=\"[13, ...{\\n \"Series #\": \"The sequential episode numbe...We are given a table with the following header...{\"Series #\": \"The sequential episode number wi...
          4nu-4what is the number of 1st place finishes acros...csv/204-csv/272.csv17| Date | Competition ...Date#Competition#Location#Country#Event#Placin...<TABLE><HEADER NAME=\"Date\" EXAMPLES=\"[&quot;1 ...{\\n \"Date\": \"The date of the event in 'Day Mo...We are given a table description about \"famous...{\"Date\": \"The date of the event in 'Day Month ...
          .................................
          415nu-2901when will 8:12-15 of the torah be read?csv/202-csv/268.csvYear 2| \\nReading | Year 1\\n2013, 2016, 2019, 2022...\\nReading#Year 1\\n2013, 2016, 2019, 2022 . . ....<TABLE><HEADER NAME=\"\\nReading\" EXAMPLES=\"[&qu...{\\n \"Reading\": \"The sequential reading number...We are given a table with the following header...{\"Reading\": \"The sequential reading number (in...
          416nu-2935who won the tournament after the palangandas' ...csv/203-csv/225.csvAnjaparavanda| No. | Year | Name | Held at ...No.#Year#Name#Held at#Number of teams#Winner#R...<TABLE><HEADER NAME=\"No.\" EXAMPLES=\"[6, 11, 16...{\\n \"No.\": \"The sequential identifier or posi...Okay, let me tackle this linguistics task. The...{\"No.\": \"The sequential identifier or position...
          417nu-3112burlington northern ordered 3 emd sd60s. what ...csv/202-csv/180.csv8300-8302| Railroad | Qty. | Road numb...Railroad#Qty.#Road numbers#Notes\\nBurlington N...<TABLE><HEADER NAME=\"Railroad\" EXAMPLES=\"[&quo...{\\n \"Railroad\": \"The name of the railroad com...Okay, let's tackle this problem. So, I need to...{\"Railroad\": \"The name of the railroad company...
          418nu-3440how long as this band been releasing albums?csv/202-csv/17.csv34 years| Date | Label | Format...Date#Label#Format#Country#Catalog#Notes\\nNovem...<TABLE><HEADER NAME=\"Date\" EXAMPLES=\"[&quot;Ma...{\\n \"Date\": \"Release date formatted as 'Month...We are given a table description: \"high-end sm...{\"Date\": \"Release date formatted as 'Month Day...
          419nu-3523how many more votes did daryl reid than bryan ...csv/202-csv/273.csv3090| Party | Candidate ...Party#Candidate#Votes#%#∆%#Expenditures\\nNew D...<TABLE><HEADER NAME=\"Party\" EXAMPLES=\"[&quot;R...{\\n \"Party\": \"The political party or vote cat...We are given a table with the following header...{\"Party\": \"The political party or vote categor...
          \n", + "

          420 rows × 10 columns

          \n", + "" + ], + "text/plain": [ + " id query \\\n", + "0 nu-0 which country had the most cyclists finish wit... \n", + "1 nu-1 how many people were murdered in 1940/41? \n", + "2 nu-2 how long did it take for the new york american... \n", + "3 nu-3 alfie's birthday party aired on january 19. wh... \n", + "4 nu-4 what is the number of 1st place finishes acros... \n", + ".. ... ... \n", + "415 nu-2901 when will 8:12-15 of the torah be read? \n", + "416 nu-2935 who won the tournament after the palangandas' ... \n", + "417 nu-3112 burlington northern ordered 3 emd sd60s. what ... \n", + "418 nu-3440 how long as this band been releasing albums? \n", + "419 nu-3523 how many more votes did daryl reid than bryan ... \n", + "\n", + " context targetValue \\\n", + "0 csv/203-csv/733.csv Italy \n", + "1 csv/204-csv/149.csv 100,000 \n", + "2 csv/203-csv/435.csv 17 years \n", + "3 csv/204-csv/803.csv January 26, 1995 \n", + "4 csv/204-csv/272.csv 17 \n", + ".. ... ... \n", + "415 csv/202-csv/268.csv Year 2 \n", + "416 csv/203-csv/225.csv Anjaparavanda \n", + "417 csv/202-csv/180.csv 8300-8302 \n", + "418 csv/202-csv/17.csv 34 years \n", + "419 csv/202-csv/273.csv 3090 \n", + "\n", + " table \\\n", + "0 | Rank | Cyclist | Team ... \n", + "1 | Description Losses | 1939/4... \n", + "2 | Year | Division | League | Reg. S... \n", + "3 | Series # | Season # | Title ... \n", + "4 | Date | Competition ... \n", + ".. ... \n", + "415 | \\nReading | Year 1\\n2013, 2016, 2019, 2022... \n", + "416 | No. | Year | Name | Held at ... \n", + "417 | Railroad | Qty. | Road numb... \n", + "418 | Date | Label | Format... \n", + "419 | Party | Candidate ... \n", + "\n", + " table_text \\\n", + "0 Rank#Cyclist#Team#Time#UCI ProTour\\nPoints\\n1#... \n", + "1 Description Losses#1939/40#1940/41#1941/42#194... \n", + "2 Year#Division#League#Reg. Season#Playoffs#Nati... \n", + "3 \"Series #\"#\"Season #\"#Title#Notes#Original air... \n", + "4 Date#Competition#Location#Country#Event#Placin... \n", + ".. ... \n", + "415 \\nReading#Year 1\\n2013, 2016, 2019, 2022 . . .... \n", + "416 No.#Year#Name#Held at#Number of teams#Winner#R... \n", + "417 Railroad#Qty.#Road numbers#Notes\\nBurlington N... \n", + "418 Date#Label#Format#Country#Catalog#Notes\\nNovem... \n", + "419 Party#Candidate#Votes#%#∆%#Expenditures\\nNew D... \n", + "\n", + " semtab_xml_attributes_exampples_top1_tresh50 \\\n", + "0
          \n", + "\n", + "
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          contexttable_textcolumn_defenition_json
          0csv/203-csv/733.csvRank#Cyclist#Team#Time#UCI ProTour\\nPoints\\n1#...{\"Rank\": \"The position of the cyclist in the c...
          1csv/204-csv/149.csvDescription Losses#1939/40#1940/41#1941/42#194...{\"Description Losses\": \"The category or type o...
          2csv/203-csv/435.csvYear#Division#League#Reg. Season#Playoffs#Nati...{\"Year\": \"The season year or year range (e.g.,...
          3csv/204-csv/803.csv\"Series #\"#\"Season #\"#Title#Notes#Original air...{\"Series #\": \"The sequential episode number wi...
          4csv/204-csv/272.csvDate#Competition#Location#Country#Event#Placin...{\"Date\": \"The date of the event in 'Day Month ...
          ............
          415csv/202-csv/268.csv\\nReading#Year 1\\n2013, 2016, 2019, 2022 . . ....{\"Reading\": \"The sequential reading number (in...
          416csv/203-csv/225.csvNo.#Year#Name#Held at#Number of teams#Winner#R...{\"No.\": \"The sequential identifier or position...
          417csv/202-csv/180.csvRailroad#Qty.#Road numbers#Notes\\nBurlington N...{\"Railroad\": \"The name of the railroad company...
          418csv/202-csv/17.csvDate#Label#Format#Country#Catalog#Notes\\nNovem...{\"Date\": \"Release date formatted as 'Month Day...
          419csv/202-csv/273.csvParty#Candidate#Votes#%#∆%#Expenditures\\nNew D...{\"Party\": \"The political party or vote categor...
          \n", + "

          420 rows × 3 columns

          \n", + "" + ], + "text/plain": [ + " context table_text \\\n", + "0 csv/203-csv/733.csv Rank#Cyclist#Team#Time#UCI ProTour\\nPoints\\n1#... \n", + "1 csv/204-csv/149.csv Description Losses#1939/40#1940/41#1941/42#194... \n", + "2 csv/203-csv/435.csv Year#Division#League#Reg. Season#Playoffs#Nati... \n", + "3 csv/204-csv/803.csv \"Series #\"#\"Season #\"#Title#Notes#Original air... \n", + "4 csv/204-csv/272.csv Date#Competition#Location#Country#Event#Placin... \n", + ".. ... ... \n", + "415 csv/202-csv/268.csv \\nReading#Year 1\\n2013, 2016, 2019, 2022 . . .... \n", + "416 csv/203-csv/225.csv No.#Year#Name#Held at#Number of teams#Winner#R... \n", + "417 csv/202-csv/180.csv Railroad#Qty.#Road numbers#Notes\\nBurlington N... \n", + "418 csv/202-csv/17.csv Date#Label#Format#Country#Catalog#Notes\\nNovem... \n", + "419 csv/202-csv/273.csv Party#Candidate#Votes#%#∆%#Expenditures\\nNew D... \n", + "\n", + " column_defenition_json \n", + "0 {\"Rank\": \"The position of the cyclist in the c... \n", + "1 {\"Description Losses\": \"The category or type o... \n", + "2 {\"Year\": \"The season year or year range (e.g.,... \n", + "3 {\"Series #\": \"The sequential episode number wi... \n", + "4 {\"Date\": \"The date of the event in 'Day Month ... \n", + ".. ... \n", + "415 {\"Reading\": \"The sequential reading number (in... \n", + "416 {\"No.\": \"The sequential identifier or position... \n", + "417 {\"Railroad\": \"The name of the railroad company... \n", + "418 {\"Date\": \"Release date formatted as 'Month Day... \n", + "419 {\"Party\": \"The political party or vote categor... \n", + "\n", + "[420 rows x 3 columns]" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = df_data[['context','table_text','column_defenition_json']]\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "id": "daeca5e0-96fb-44de-8d81-6044d7189571", + "metadata": {}, + "outputs": [], + "source": [ + "from io import StringIO\n", + "import re" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "id": "93f19f55-d6fd-47b3-9186-ac0e38d9363b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----------\n", + "{'position', 'loa(metres)', 'sailnumber', 'state/country', 'skipper', 'yacht', 'yachttype', 'elapsedtimed:hh:mm:ss'}\n", + "{'position', 'elapsedtime(d:hh:mm:ss)', 'loa(metres)', 'sailnumber', 'state/country', 'skipper', 'yacht', 'yachttype'}\n", + "{'elapsedtimed:hh:mm:ss'}\n", + "----------\n", + "{'reigns:', 'place:', 'notes:', 'wrestler:', 'date:'}\n", + "{'place', 'reigns', 'date', 'notes', 'wrestler'}\n", + "{'reigns:', 'place:', 'notes:', 'wrestler:', 'date:'}\n", + "----------\n", + "{'#ofbids', 'finalfour', 'championshipgame', 'record', 'roundof32', 'eliteeight', 'conference', 'win\\xa0%', 'sweetsixteen'}\n", + "{'#ofbids', 'finalfour', 'championshipgame', 'record', 'roundof32', 'eliteeight', 'conference', 'win%', 'sweetsixteen'}\n", + "{'win\\xa0%'}\n", + "----------\n", + "{'opus', 'title', 'premièredate', 'place,theatre', 'compo-sition', 'sub\\xaddivisions'}\n", + "{'opus', 'title', 'premièredate', 'place,theatre', 'composition', 'subdivisions'}\n", + "{'compo-sition', 'sub\\xaddivisions'}\n", + "----------\n", + "{'times:', 'notes:', 'wrestler:', 'date:', 'location:'}\n", + "{'date', 'notes', 'location', 'times', 'wrestler'}\n", + "{'times:', 'notes:', 'wrestler:', 'date:', 'location:'}\n", + "----------\n", + "{'oddsofwinning(1\\xa0in)', 'prize(eur)', 'inordertowin', 'divisions', 'numberofwinningtickets'}\n", + "{'prize(eur)', 'oddsofwinning(1in)', 'inordertowin', 'divisions', 'numberofwinningtickets'}\n", + "{'oddsofwinning(1\\xa0in)'}\n", + "----------\n", + "{'l/100\\xa0km', 'mpg(usgallons)', 'fueltype', 'model', 'nzrating(stars)'}\n", + "{'l/100km', 'mpg(usgallons)', 'fueltype', 'model', 'nzrating(stars)'}\n", + "{'l/100\\xa0km'}\n", + "----------\n", + "{'allnurses', 'hew\\xa0:populationratio', 'region', 'physician\\xa0:populationratio', 'ho\\xa0:populationratio', 'mid-wives', 'nurse\\xa0:populationratio', 'physician(gp&specialist)', 'midwife:populationratio', 'healthofficer', 'hew*'}\n", + "{'allnurses', 'physician:populationratio', 'hew:populationratio', 'region', 'nurse:populationratio', 'mid-wives', 'ho:populationratio', 'physician(gp&specialist)', 'midwife:populationratio', 'healthofficer', 'hew*'}\n", + "{'physician\\xa0:populationratio', 'hew\\xa0:populationratio', 'nurse\\xa0:populationratio', 'ho\\xa0:populationratio'}\n", + "----------\n", + "{'year32015,2018,2021,2024...8:16–9:35', 'year12013,2016,2019,2022...6:2–7:7', 'year22014,2017,2020,2023...7:8–8:15', 'reading'}\n", + "{'year3', 'year1', 'year2', 'reading'}\n", + "{'year32015,2018,2021,2024...8:16–9:35', 'year12013,2016,2019,2022...6:2–7:7', 'year22014,2017,2020,2023...7:8–8:15'}\n" + ] + } + ], + "source": [ + "for i,data in df.iterrows():\n", + " ddd = pd.read_csv(StringIO(data['table_text']), delimiter='#')\n", + " col = set([re.sub('\\\\n','',re.sub('\\\\\\\\n','',re.sub(' ','',k))).lower() for k in ddd.columns])\n", + " defgen_key = set([re.sub('\\\\n','',re.sub('\\\\\\\\n','',re.sub(' ','',k))).lower() for k in json.loads(data['column_defenition_json']).keys()])\n", + " \n", + " if len(col-defgen_key)>0:\n", + " print('-'*10)\n", + " print(col)\n", + " print(defgen_key)\n", + " print(col-defgen_key)" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "id": "fb72990f-1d72-43c8-b8da-50c99e338968", + "metadata": {}, + "outputs": [], + "source": [ + "df.to_parquet(\"df_wtq_test.parquet.gzip\", compression=\"gzip\")" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "2e337706-dd0a-4070-9e67-1e5eb07e58b7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          contexttable_textcolumn_defenition_json
          0csv/203-csv/733.csvRank#Cyclist#Team#Time#UCI ProTour\\nPoints\\n1#...{\"Rank\": \"The position of the cyclist in the c...
          1csv/204-csv/149.csvDescription Losses#1939/40#1940/41#1941/42#194...{\"Description Losses\": \"The category or type o...
          2csv/203-csv/435.csvYear#Division#League#Reg. Season#Playoffs#Nati...{\"Year\": \"The season year or year range (e.g.,...
          3csv/204-csv/803.csv\"Series #\"#\"Season #\"#Title#Notes#Original air...{\"Series #\": \"The sequential episode number wi...
          4csv/204-csv/272.csvDate#Competition#Location#Country#Event#Placin...{\"Date\": \"The date of the event in 'Day Month ...
          ............
          415csv/202-csv/268.csv\\nReading#Year 1\\n2013, 2016, 2019, 2022 . . ....{\"Reading\": \"The sequential reading number (in...
          416csv/203-csv/225.csvNo.#Year#Name#Held at#Number of teams#Winner#R...{\"No.\": \"The sequential identifier or position...
          417csv/202-csv/180.csvRailroad#Qty.#Road numbers#Notes\\nBurlington N...{\"Railroad\": \"The name of the railroad company...
          418csv/202-csv/17.csvDate#Label#Format#Country#Catalog#Notes\\nNovem...{\"Date\": \"Release date formatted as 'Month Day...
          419csv/202-csv/273.csvParty#Candidate#Votes#%#∆%#Expenditures\\nNew D...{\"Party\": \"The political party or vote categor...
          \n", + "

          420 rows × 3 columns

          \n", + "
          " + ], + "text/plain": [ + " context table_text \\\n", + "0 csv/203-csv/733.csv Rank#Cyclist#Team#Time#UCI ProTour\\nPoints\\n1#... \n", + "1 csv/204-csv/149.csv Description Losses#1939/40#1940/41#1941/42#194... \n", + "2 csv/203-csv/435.csv Year#Division#League#Reg. Season#Playoffs#Nati... \n", + "3 csv/204-csv/803.csv \"Series #\"#\"Season #\"#Title#Notes#Original air... \n", + "4 csv/204-csv/272.csv Date#Competition#Location#Country#Event#Placin... \n", + ".. ... ... \n", + "415 csv/202-csv/268.csv \\nReading#Year 1\\n2013, 2016, 2019, 2022 . . .... \n", + "416 csv/203-csv/225.csv No.#Year#Name#Held at#Number of teams#Winner#R... \n", + "417 csv/202-csv/180.csv Railroad#Qty.#Road numbers#Notes\\nBurlington N... \n", + "418 csv/202-csv/17.csv Date#Label#Format#Country#Catalog#Notes\\nNovem... \n", + "419 csv/202-csv/273.csv Party#Candidate#Votes#%#∆%#Expenditures\\nNew D... \n", + "\n", + " column_defenition_json \n", + "0 {\"Rank\": \"The position of the cyclist in the c... \n", + "1 {\"Description Losses\": \"The category or type o... \n", + "2 {\"Year\": \"The season year or year range (e.g.,... \n", + "3 {\"Series #\": \"The sequential episode number wi... \n", + "4 {\"Date\": \"The date of the event in 'Day Month ... \n", + ".. ... \n", + "415 {\"Reading\": \"The sequential reading number (in... \n", + "416 {\"No.\": \"The sequential identifier or position... \n", + "417 {\"Railroad\": \"The name of the railroad company... \n", + "418 {\"Date\": \"Release date formatted as 'Month Day... \n", + "419 {\"Party\": \"The political party or vote categor... \n", + "\n", + "[420 rows x 3 columns]" + ] + }, + "execution_count": 131, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "dd = pd.read_parquet(\"df_wtq_test.parquet.gzip\")\n", + "dd" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "e1cf2fbd-9f36-4a28-a57e-e99970772ac1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'statement', 'context', 'label', 'table', 'table_text', 'semtab_xml_attributes_semantic_datatype_exampples_top1_tresh50'],\n", + " num_rows: 4339\n", + "})" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset = load_from_disk('WTQ_test_xml')\n", + "dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "e1b4ff8e-df68-4060-9005-f4f725b537a8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'
          '" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset['semtab_xml_elements_semantic_datatype_exampples_top1_tresh50'][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "id": "58018b78-f3b5-421c-97a2-54b9ed2f6470", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[2, 3, 4]" + ] + }, + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sorted([3,2,4])" + ] + }, + { + "cell_type": "markdown", + "id": "5b2c45d6-aec6-4a9e-b297-d41586e5da87", + "metadata": {}, + "source": [ + "# Make colum defenition dataset tab fact" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a7516c05-328b-4921-bf3e-ab3ab5031841", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50', 'semtab_xml_attributes_top1_tresh50_answ', 'semtab_xml_attributes_top1_tresh50_label', 'semtab_xml_attributes_top1_tresh50_answ_correct', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_exampples_description_top1_tresh50_label', 'semtab_xml_elements_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_description_top1_tresh50_answ', 'semtab_xml_elements_description_top1_tresh50_label', 'semtab_xml_elements_description_top1_tresh50_answ_correct', 'semtab_xml_elements_top1_tresh50_answ', 'semtab_xml_elements_top1_tresh50_label', 'semtab_xml_elements_top1_tresh50_answ_correct', '__index_level_0__', 'column_defenition'],\n", + " num_rows: 1695\n", + "})" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset = load_from_disk('tab_fact_test_unique_tables_def')\n", + "dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "31bab864-2bce-4c8b-914e-fe9f4a73458c", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Okay, let's tackle this problem. So, I need to analyze the given table schema and create a JSON dictionary where each key is a header name and the value is a semantic definition including format features and units if present.\n", + "\n", + "First, I'll look at the real data example provided. The table description is \"wyfk\", which seems to be a typo or maybe an acronym I don't recognize. But maybe it's not important. The headers are: call sign, frequency mhz, city of license, erp w, class, fcc info.\n", + "\n", + "Starting with \"call sign\". The examples are strings like \"w230av\", \"w273ae\", \"w282ae\". So it's a unique identifier for a radio station, probably a combination of letters and numbers. I should note the format here, like starting with a letter followed by numbers and letters. But the examples show \"w\" as the first letter, which is common for US radio stations (like W for east of the Mississippi). So the definition should mention it's a unique identifier, text format, possibly following FCC naming conventions.\n", + "\n", + "Next, \"frequency mhz\". The examples are \"93.9 fm\", \"101.7 fm\", \"104.3 fm\". So the format is a decimal number followed by \"fm\", which is short for frequency modulation. The unit is megahertz, but the example includes \"fm\" as part of the string. Wait, the header says \"frequency mhz\", so the actual value is in MHz, but the example includes \"fm\" as part of the string. So the unit here is MHz, but the example uses \"fm\" which stands for frequency modulation. So the definition should mention that the value is in MHz, but the string includes \"fm\" as part of the presentation.\n", + "\n", + "\"city of license\" examples are \"gadsden , alabama\", \"albany , georgia\", etc. So it's a city and state name, comma separated. The format is \"city, state\". Need to note that it's a location, written as city followed by state abbreviation.\n", + "\n", + "\"erp w\" examples are 10, 27, 27. The header says \"erp w\", which probably stands for Effective Radiated Power in watts. So the unit is watts (W). The examples are integers, so it's a numerical value with unit watts.\n", + "\n", + "\"class\" examples are \"d\", \"d\", \"d\". So it's a single letter code. In radio, class D is a common class for FM stations. So the format is a single-letter code, likely indicating the station's operational class as per FCC regulations.\n", + "\n", + "\"fcc info\" examples are all \"fcc\". So this is probably a reference to the Federal Communications Commission information, maybe indicating that the station is licensed by the FCC. The example is the string \"fcc\", so the header is a constant string here, but maybe in other cases it could be different. But based on the examples, it's a fixed string \"fcc\".\n", + "\n", + "Now, for each header:\n", + "\n", + "1. call sign: As per examples, it's a text string with format like \"letter + number + letter\" (e.g., w230av). It's the station's unique identifier.\n", + "\n", + "2. frequency mhz: The examples have numbers followed by \"fm\", but the header specifies MHz. So the value is numerical in MHz, and the \"fm\" is part of the display format. However, the example shows \"93.9 fm\" which is a string. Wait, the header's name is \"frequency mhz\", so the value is the frequency in MHz, but in the examples it's written as \"93.9 fm\". Wait, maybe the frequency is 93.9 MHz, and \"fm\" is the band. So the header might be the frequency value in MHz, but the example includes the band. However, the example shows the entire string as the example. Wait, the problem states that if units are in examples, include them. So in the example, it's \"93.9 fm\", so the unit is MHz but written as part of the string. Wait, the actual value is 93.9 MHz, but the example shows \"93.9 fm\", so the format is \"X.X fm\" where X.X is the frequency in MHz. So the unit is MHz, but presented as a string with \"fm\" attached.\n", + "\n", + "Wait, the problem says: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "So in the example for frequency mhz, the examples include \"93.9 fm\", so the unit is MHz but the string includes \"fm\" as part of the example. Wait, the header is named \"frequency mhz\", so it's clear that the unit is MHz. However, the examples show the value as \"93.9 fm\", so the actual value is the number followed by \"fm\", which is the modulation type. So the unit here is MHz, but the example includes the \"fm\" as part of the string. Wait, but MHz is the unit of frequency, and \"fm\" stands for frequency modulation. So the frequency is 93.9 MHz, and it's an FM station. So the value is the frequency in MHz, but the example shows it as \"93.9 fm\", so the string includes both the numeric value and the modulation type.\n", + "\n", + "But the header is called \"frequency mhz\", so the numeric part is the frequency in MHz. However, the example shows \"93.9 fm\", which is not just the number. So perhaps the example includes the modulation type as part of the value. So the correct way is to note that the value is presented as a decimal number followed by \"fm\", indicating the frequency in MHz and the modulation type.\n", + "\n", + "Wait, but the header name says \"frequency mhz\", so the unit is MHz. However, the example shows \"93.9 fm\", which is a common way to write the frequency (e.g., 93.9 FM). So the format is \"X.X fm\" where X.X is the frequency in MHz. Therefore, the unit is MHz but the string includes \"fm\" as part of the presentation.\n", + "\n", + "But the task says: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "So in the example, the unit is implicitly MHz, but the string includes \"fm\". Wait, maybe the unit here is \"MHz\" but the example includes \"fm\" as part of the label. Hmm, this is a bit confusing.\n", + "\n", + "Wait, let's look back at example 1: \"diameter_km\" has examples like [12756, 6792, 142984], but the header includes \"_km\", so the unit is kilometers. The example doesn't include the unit in the value, but the header name does. Wait, no: in the example 1, the header is \"diameter_km\", and examples are just numbers. So the unit is in the header name. But in example 3, the header is \"screen_size\" with examples as numbers, and the output says \"Unit of measurement: inches.\" So even if the header name doesn't include the unit, the example might have it.\n", + "\n", + "Wait, in the problem statement: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "So if the example has a unit in the string, like \"93.9 fm\", then the unit is part of the example. However, the unit for frequency is MHz, but \"fm\" is a modulation type. So the \"fm\" is not the unit but the type of radio station. So the frequency value is in MHz, but the example includes \"fm\" as part of the display. So the value is the numerical part (93.9) in MHz, but the example shows it as \"93.9 fm\".\n", + "\n", + "Therefore, in the definition, we should note that the value is the frequency in MHz, presented as a decimal followed by \"fm\" to indicate the FM band. So the unit is MHz, but the string includes \"fm\" as part of the format.\n", + "\n", + "Wait, the problem says to include units of measurement in the examples. So in the examples, if the value includes a unit (like \"93.9 fm\"), then the unit is part of the example. However, \"fm\" here is not the unit for the frequency but the modulation type. The actual unit is MHz. But the example's string includes \"fm\", which might be a separate part. So perhaps the example shows both the frequency value and the band.\n", + "\n", + "So the correct way is to state that the frequency is given in MHz, and the format includes the band (FM). So the definition would be: \"The frequency of the radio station in megahertz (MHz), presented as a decimal number followed by 'fm' to indicate the modulation band.\"\n", + "\n", + "But according to the problem statement: if units of measurement are in the examples, include them. So \"fm\" is part of the example, but is it a unit? Maybe not. The unit is MHz, but the example shows the value as \"93.9 fm\", which is the standard way to write it. So perhaps the example includes the unit as \"fm\", but actually, the unit is MHz. Wait, no. 93.9 MHz is the frequency, and \"fm\" is the broadcast band. So \"fm\" is not a unit but a label.\n", + "\n", + "Wait, looking at example 3: \"screen_size\" has examples like 6.1, 6.2, 6.7, and the output says \"Unit of measurement: inches.\" So even though the example doesn't include the unit, the header name doesn't either. But the problem says \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "In example 3's screen_size, the examples are numbers, no units. So the output includes the unit because it's known from the context (inches), but maybe the problem is that the examples don't have units, but the problem says to include them if they are in the examples.\n", + "\n", + "Wait, no: the problem says \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "So in example 3, the examples are just numbers, so no units in the examples. But the output still says \"Unit of measurement: inches.\" Hmm, maybe there's a misunderstanding here.\n", + "\n", + "Wait, looking back at the examples provided:\n", + "\n", + "In Example 1, the header is \"diameter_km\", and the examples are numbers like [12756, 6792, 142984]. But the output says \"Unit of measurement: kilometers (km).\"\n", + "\n", + "But the header name includes \"_km\", so perhaps the unit is derived from the header name. But the problem statement says: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "So if the examples have the unit, like in Example 1's \"diameter_km\", the examples don't have \"km\" in the numbers. But the header name does. So perhaps the problem is that when the example has the unit (like in example 3, which doesn't), but the output includes units because of the header. However, the problem states to include units from the examples.\n", + "\n", + "Wait, in example 3's output, the screen_size has \"Unit of measurement: inches.\" But the examples are 6.1, etc. So maybe the examples don't include the unit, but the problem expects you to know it's inches. But the problem statement says \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "So if the examples contain the unit (like \"93.9 fm\"), then include it. In Example 1's \"diameter_km\", the examples don't have \"km\" but the header does. So the unit is inferred from the header. But the problem says to look at the examples.\n", + "\n", + "Wait, perhaps the problem is that the examples are in the format that includes the unit. For example, if the example is \"93.9 fm\", then the unit is \"fm\", but that's not the case. The unit for frequency is MHz, but \"fm\" is the modulation type.\n", + "\n", + "Wait, perhaps in this problem, the examples might have the unit as part of the string. For example, in example 1's diameter_km, the example shows numbers without units, but the header name includes the unit. However, in the real data case for frequency mhz, the examples have \"93.9 fm\", so the unit here is MHz but the example shows \"fm\". This is confusing.\n", + "\n", + "Let me re-read the problem statement:\n", + "\n", + "\"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "So if the examples contain units (like \"10W\", \"50m\"), then include the unit. So in the frequency mhz example, the examples are \"93.9 fm\", so \"fm\" is part of the example. But \"fm\" is not the unit of measurement here; the unit is MHz. However, in common usage, radio frequencies are stated as \"93.9 FM\" where FM is the broadcast band. So the unit here is MHz, but the string includes \"FM\" as part of the label. However, the problem says to include units from examples if present. So if the example string contains the unit, like \"93.9 MHz\", then the unit is MHz. But here it's \"93.9 fm\", so the unit is not explicitly given in the string. Wait, but \"fm\" is not a unit. The unit is MHz, but the example uses \"fm\" as a label.\n", + "\n", + "This is tricky. Let's check the examples given.\n", + "\n", + "In Example 1: \"diameter_km\" has examples as numbers (12756, etc.), but the header name has \"_km\". The output says \"Unit of measurement: kilometers (km).\"\n", + "\n", + "In Example 3: \"screen_size\" examples are numbers, but output says \"Unit of measurement: inches.\"\n", + "\n", + "So the problem expects the unit to be derived from the header name or context. However, the problem statement says \"If there are units of measurement in the EXAMPLES, then include them in the answer.\" So in cases where the example includes the unit (e.g., \"93.9 fm\" would have \"fm\" as the unit?), but in reality, \"fm\" is not the unit. The unit is MHz, but the example string includes \"fm\" as a suffix.\n", + "\n", + "Wait, maybe \"fm\" here is a typo and should be MHz. But it's written as \"fm\". Alternatively, maybe the unit is \"MHz\" but the example shows it as \"93.9 fm\" where \"fm\" is the abbreviation for the band. But in radio, frequency is measured in MHz, so the unit is MHz. However, the example shows \"93.9 fm\", which is the way you say it on the radio.\n", + "\n", + "In that case, the example has \"fm\" as part of the string, but the unit is MHz. So according to the problem statement, we need to include the unit from the example. But the example string has \"fm\", which isn't the unit. This is a problem.\n", + "\n", + "Alternatively, maybe \"fm\" is the unit here, but that's incorrect because the standard unit for frequency is hertz (Hz), so MHz. But in radio contexts, FM refers to Frequency Modulation, not the unit. So the value is 93.9 MHz, and \"fm\" is the broadcast type.\n", + "\n", + "Given this confusion, perhaps the correct approach is to look at the header name. The header is \"frequency mhz\", so the unit is MHz. The examples show the value as \"93.9 fm\", which is a common way to write it. So the format is a decimal number followed by \"fm\", and the unit is MHz. But how to convey this in the definition?\n", + "\n", + "The output in example 3 for screen_size says \"Unit of measurement: inches.\" So even though the examples are numbers without units, the unit is inferred from context. But according to the problem statement, we should only include units from the examples. So if the examples do not have units (like the numbers), then we don't include units. However, the examples in the real data case have \"93.9 fm\", so the unit here is part of the example.\n", + "\n", + "Wait, the problem states: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "In the real data's frequency mhz examples, the examples are \"93.9 fm\", etc. So the \"fm\" is part of the example. But \"fm\" here is not a unit of measurement. The unit is MHz. However, in radio, \"93.9 FM\" is the standard notation where FM stands for Frequency Modulation. So the example is written as \"frequency in MHz followed by 'fm'\". So the unit is MHz, but the example string includes \"fm\" as part of the label.\n", + "\n", + "Given that, the correct way would be to note that the value is presented as a decimal number followed by \"fm\", and the unit is MHz. So the unit should be included as \"MHz\", but the example includes \"fm\" as part of the presentation.\n", + "\n", + "Wait, the problem says: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "So if the example string contains a unit (like \"10W\"), then include it. In the case of \"93.9 fm\", \"fm\" is not a unit, but \"MHz\" is. However, the example string doesn't have \"MHz\" in it. So according to the problem statement, since the examples don't have the unit (MHz), but have \"fm\", which is not a unit, perhaps we don't include any unit here. But that seems odd.\n", + "\n", + "Alternatively, maybe the problem considers \"fm\" as part of the unit. But that's incorrect. The correct unit is MHz. So perhaps the problem's instruction is that if the example contains a unit (like \"10W\" has 'W'), then include it. In our case, \"fm\" isn't a unit. So we don't include units from the examples here.\n", + "\n", + "Wait, but example 1 has the header \"diameter_km\", which has the unit in the header name, but the examples are numbers. The output includes the unit. So maybe the problem is that even if the examples don't have the unit, if the header name has it, we include it. But the problem statement says to check the examples.\n", + "\n", + "This is confusing. Let's look at the provided examples again.\n", + "\n", + "In Example 1, the header is \"diameter_km\", and the examples are numbers. The output includes \"Unit of measurement: kilometers (km).\" So even though the examples don't have \"km\", the unit is included. But according to the problem statement: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "But in Example 1, the examples don't have units (they're just numbers), yet the output includes the unit. So the problem statement might be misworded, or perhaps the unit is inferred from the header name.\n", + "\n", + "Wait, the problem says: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "But in Example 1, the examples don't have units. So maybe the problem is that the unit is part of the header name, and the examples don't include it. But the output includes it.\n", + "\n", + "Hmm, perhaps the problem statement is not perfectly clear. But given the examples, when the header name includes a unit (like \"diameter_km\"), then the output includes it. So even if the examples don't have it, we include it because the header name does.\n", + "\n", + "Wait, no. In Example 3, the header is \"screen_size\", which doesn't include units in the name. But the output includes \"inches\" as the unit. So perhaps the unit is derived from context, not the header name.\n", + "\n", + "This is a bit of a mess. Let's proceed with the real data.\n", + "\n", + "For \"call sign\": examples are strings like \"w230av\", so definition is a unique identifier, text format, likely following FCC conventions (starts with W, followed by numbers and letters).\n", + "\n", + "\"frequency mhz\": examples are \"93.9 fm\", etc. So the value is the frequency in MHz, presented with \"fm\" as the modulation band. The unit is MHz, but the examples include \"fm\". However, since the header name is \"frequency mhz\", we can say the unit is MHz, but the example shows \"X.X fm\" where X.X is the frequency. So the definition should mention the format includes \"fm\".\n", + "\n", + "\"city of license\": examples are \"gadsden , alabama\", which is city followed by comma and state. So format is city, state.\n", + "\n", + "\"erp w\": examples are integers 10, 27, etc. Header name includes \"w\", so unit is watts. The examples are numbers, so unit is watts.\n", + "\n", + "\"class\": examples are \"d\", so single letter code indicating station class.\n", + "\n", + "\"fcc info\": examples are \"fcc\", which is a constant string, probably indicating FCC licensing.\n", + "\n", + "Now, for each header:\n", + "\n", + "call sign: \"The unique identifier of a radio station, typically starting with a letter (e.g., 'W') followed by numbers and letters, presented in text format.\"\n", + "\n", + "frequency mhz: \"The broadcast frequency of the station in megahertz (MHz), presented as a decimal number followed by 'fm' to indicate frequency modulation. Example: '93.9 fm'.\"\n", + "\n", + "Wait, but the problem says to include units from examples. Since examples have \"fm\", but the unit is MHz, perhaps the definition should say \"Unit of measurement: MHz.\"\n", + "\n", + "Wait, in example 1's output, \"diameter_km\" has unit kilometers. The header name has _km. Similarly, \"screen_size\" has unit inches even though header name doesn't have it. So perhaps the unit is included in the definition regardless of the header name, as long as it's clear.\n", + "\n", + "But according to the problem statement: if units are in examples, include them. So in the frequency example, the example has \"93.9 fm\", which is a bit confusing. But since the header is \"frequency mhz\", the unit is MHz. So maybe the definition should include \"Unit of measurement: megahertz (MHz)\".\n", + "\n", + "However, the example shows \"fm\" as part of the string. So the format is decimal followed by \"fm\". Therefore, the description should mention that the value is presented as a decimal number followed by \"fm\", with unit MHz.\n", + "\n", + "For \"erp w\", examples are integers, and header name has \"w\", so unit is watts.\n", + "\n", + "Let's structure each header:\n", + "\n", + "call sign: text format, unique identifier.\n", + "\n", + "frequency mhz: format is number + \" fm\", unit MHz.\n", + "\n", + "city of license: comma-separated city and state.\n", + "\n", + "erp w: numerical value in watts.\n", + "\n", + "class: single-letter code.\n", + "\n", + "fcc info: constant \"fcc\" string.\n", + "\n", + "Now, applying to the real data:\n", + "\n", + "\"call sign\": The unique identifier of a radio station in the United States, typically starting with the letter 'W' (for stations east of the Mississippi River) followed by numbers and letters. Presented as a text string. Example: \"w230av\".\n", + "\n", + "\"frequency mhz\": The broadcast frequency in megahertz (MHz), presented as a decimal number followed by 'fm' to indicate the modulation band. Example: \"93.9 fm\".\n", + "\n", + "\"city of license\": The city and state where the station is licensed to operate, formatted as \"city, state\". Example: \"gadsden, alabama\".\n", + "\n", + "\"erp w\": The Effective Radiated Power of the station, measured in watts (W). Example: 10 W.\n", + "\n", + "\"class\": The operational class of the radio station as defined by the FCC, indicated by a single-letter code. Example: \"d\".\n", + "\n", + "\"fcc info\": A reference to the Federal Communications Commission (FCC) licensing information. Example: \"fcc\".\n", + "\n", + "Wait, but for \"erp w\", the examples are numbers like 10, 27. So the unit is watts, so in the definition, it's \"The Effective Radiated Power (ERP) of the station, measured in watts (W).\"\n", + "\n", + "Similarly, for \"frequency mhz\", the unit is MHz.\n", + "\n", + "But the problem states: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\n", + "\n", + "In the frequency examples, the examples include \"fm\" as part of the string, but the unit is MHz. So the unit should be mentioned as MHz. The \"fm\" is part of the format, not the unit. So the definition should say \"Unit of measurement: megahertz (MHz).\"\n", + "\n", + "But the example string has \"93.9 fm\", so the format includes both the number and \"fm\". So the description would be \"The broadcast frequency in megahertz (MHz), presented as a decimal number followed by 'fm' to indicate frequency modulation.\"\n", + "\n", + "Similarly, for \"screen_size\" in example 3, the output says \"Unit of measurement: inches.\" So even though the example doesn't have inches in the data, the unit is stated. So likely, the unit is derived from the context.\n", + "\n", + "In the real data, the \"frequency mhz\" header has \"mhz\" in the name, so it's clear that the unit is MHz. But the examples include \"fm\", which is a separate part.\n", + "\n", + "Wait, the problem says to look at the examples for units. If the examples contain units (e.g., \"93.9 fm\" has \"fm\"), but \"fm\" isn't the unit. So maybe the problem expects us to note that the unit is MHz based on the header name.\n", + "\n", + "But according to the problem statement, the units should be included if they're in the examples. Since the example string has \"fm\", but \"fm\" is not a unit, perhaps we don't include it. However, the header name says \"mhz\", so we should include MHz as the unit.\n", + "\n", + "This is tricky. Given the examples provided in the problem statement, for instance example 1, the header is \"diameter_km\", and the output includes \"Unit of measurement: kilometers (km).\", even though the examples are just numbers without units. So the problem expects the unit to be derived from the header name.\n", + "\n", + "Similarly, in example 3, \"screen_size\" header, the output includes \"inches\" as the unit, which isn't in the header name. So perhaps the unit is derived from context, not the header name.\n", + "\n", + "Wait, example 3 is about smartphones, and screen size is typically in inches. So context matters.\n", + "\n", + "In our problem, \"frequency mhz\" header includes \"mhz\", so the unit is MHz. Similarly, \"erp w\" includes \"w\", so the unit is watts.\n", + "\n", + "Therefore, for each header:\n", + "\n", + "- call sign: no unit, text format.\n", + "\n", + "- frequency mhz: unit MHz.\n", + "\n", + "- city of license: text.\n", + "\n", + "- erp w: unit W.\n", + "\n", + "- class: text.\n", + "\n", + "- fcc info: text.\n", + "\n", + "So the definitions should include the units when they are indicated by the header name or context.\n", + "\n", + "Thus:\n", + "\n", + "\"call sign\": The unique identifier of a radio station, typically in the format of a letter followed by numbers and letters (e.g., 'w230av'), presented as a text string.\n", + "\n", + "\"frequency mhz\": The broadcast frequency in megahertz (MHz), presented as a decimal number followed by 'fm' to denote the modulation band.\n", + "\n", + "\"city of license\": The city and state where the radio station is licensed to operate, formatted as \"city, state\" (e.g., \"gadsden, alabama\").\n", + "\n", + "\"erp w\": The effective radiated power of the radio station, measured in watts (W).\n", + "\n", + "\"class\": The operational class of the radio station as defined by the FCC, represented by a single-letter code (e.g., 'd').\n", + "\n", + "\"fcc info\": A reference to the Federal Communications Commission licensing information, presented as the string 'fcc'.\n", + "\n", + "Wait, but the examples for \"fcc info\" are all \"fcc\", so it's a constant string. So the definition would be \"Indicates FCC licensing information, presented as the string 'fcc'.\"\n", + "\n", + "But the problem says \"brief but semantically succinct definition\". So need to be concise.\n", + "\n", + "Let me check example 1's output: \"The proper name of a celestial body in the Solar system, presented in text format.\"\n", + "\n", + "So for \"call sign\", maybe \"The unique identifier of a radio station, presented as a text string following FCC naming conventions (e.g., 'w230av').\"\n", + "\n", + "But the problem says \"brief but semantically succinct\".\n", + "\n", + "Also, for \"frequency mhz\", include the unit.\n", + "\n", + "So:\n", + "\n", + "\"frequency mhz\": \"The broadcast frequency in megahertz (MHz), presented as a decimal number followed by 'fm' (e.g., '93.9 fm').\"\n", + "\n", + "But the problem says to include units from the examples. However, the unit is MHz, which is part of the header name. Since the example string includes \"fm\", but the actual unit is MHz, the definition should state the unit as MHz.\n", + "\n", + "Now, compiling all:\n", + "\n", + "call sign: The unique identifier of a radio station, presented as a text string (e.g., 'w230av').\n", + "\n", + "frequency mhz: The broadcast frequency in megahertz (MHz), presented as a decimal number followed by 'fm' (e.g., '93.9 fm').\n", + "\n", + "city of license: The licensed city and state of the radio station, formatted as \"city, state\" (e.g., 'gadsden, alabama').\n", + "\n", + "erp w: The effective radiated power of the station, measured in watts (W) (e.g., 10 W).\n", + "\n", + "class: The operational class of the radio station as defined by the FCC, represented by a single-letter code (e.g., 'd').\n", + "\n", + "fcc info: A reference to FCC licensing information, presented as the string 'fcc'.\n", + "\n", + "But the problem says to include units if they are in the examples. In the examples for frequency mhz, the example is \"93.9 fm\", so the unit is not directly present, but the header name has \"mhz\". So according to example 1, even if the examples don't have the unit, it's included. So the unit should be included in the definition.\n", + "\n", + "Therefore, the final definitions:\n", + "\n", + "call sign: The unique identifier of a radio station, presented as a text string (e.g., 'w230av').\n", + "\n", + "frequency mhz: The broadcast frequency in megahertz (MHz), presented as a decimal number followed by 'fm' (e.g., '93.9 fm').\n", + "\n", + "city of license: The city and state where the radio station is licensed, formatted as \"city, state\" (e.g., 'gadsden, alabama').\n", + "\n", + "erp w: The effective radiated power of the station, measured in watts (W) (e.g., 10 W).\n", + "\n", + "class: The operational class of the radio station as defined by the FCC, indicated by a single-letter code (e.g., 'd').\n", + "\n", + "fcc info: The Federal Communications Commission (FCC) licensing reference, presented as the string 'fcc'.\n", + "\n", + "Now, check if units are included as per the problem's instruction. For frequency mhz and erp w, the unit is included. The examples for erp w are numbers, but the header has \"w\", so unit is watts. Similarly, frequency mhz has \"mhz\" in the header name. So the unit is included in the definition.\n", + "
          \n", + "\n", + "{\n", + " \"call sign\": \"The unique identifier of a radio station, typically starting with 'W' (east of Mississippi) followed by numbers and letters, presented as a text string.\",\n", + " \"frequency mhz\": \"The broadcast frequency in megahertz (MHz), presented as a decimal number followed by 'fm' to indicate frequency modulation (e.g., '93.9 fm').\",\n", + " \"city of license\": \"The city and state where the radio station is licensed to operate, formatted as 'city, state' (e.g., 'gadsden, alabama').\",\n", + " \"erp w\": \"The effective radiated power of the station, measured in watts (W) (e.g., 10 W).\",\n", + " \"class\": \"The operational class of the radio station as defined by the FCC, indicated by a single-letter code (e.g., 'd').\",\n", + " \"fcc info\": \"A reference to the Federal Communications Commission licensing information, presented as the constant string 'fcc'.\"\n", + "}\n" + ] + } + ], + "source": [ + "print(dataset['column_defenition'][44])" + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "id": "13b0356c-761f-4389-81cc-60fec1b1d73b", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=16): 100%|██████████| 1695/1695 [00:00<00:00, 1709.69 examples/s]\n" + ] + } + ], + "source": [ + "p = dataset.filter(lambda x: True if x['column_defenition']!='None' else False,num_proc=16)" + ] + }, + { + "cell_type": "code", + "execution_count": 200, + "id": "d49a1584-a266-4094-8dd7-8bfb1c45f9e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50', 'semtab_xml_attributes_top1_tresh50_answ', 'semtab_xml_attributes_top1_tresh50_label', 'semtab_xml_attributes_top1_tresh50_answ_correct', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_exampples_description_top1_tresh50_label', 'semtab_xml_elements_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_description_top1_tresh50_answ', 'semtab_xml_elements_description_top1_tresh50_label', 'semtab_xml_elements_description_top1_tresh50_answ_correct', 'semtab_xml_elements_top1_tresh50_answ', 'semtab_xml_elements_top1_tresh50_label', 'semtab_xml_elements_top1_tresh50_answ_correct', '__index_level_0__', 'column_defenition'],\n", + " num_rows: 1695\n", + "})" + ] + }, + "execution_count": 200, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4350c129-8f8c-459d-8c62-cc9c955ce0fd", + "metadata": {}, + "outputs": [], + "source": [ + "def extract_json(data):\n", + " try:\n", + " data['column_defenition_json'] = json.dumps(extract_json_from_text(data['column_defenition']))\n", + " except Exception as e:\n", + " print (e)\n", + " data['column_defenition_json'] = 'None'\n", + " return data" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "f9827b5d-5301-4e47-a57b-dccbb9ecdec7", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 100%|██████████| 1695/1695 [00:00<00:00, 3789.01 examples/s]\n" + ] + } + ], + "source": [ + "data2 = dataset.map(extract_json,num_proc=16)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "547e9781-106a-40ae-bf78-319d0d7add73", + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'dict' object has no attribute 'to_json'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[41], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdata2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_json\u001b[49m()\n", + "\u001b[0;31mAttributeError\u001b[0m: 'dict' object has no attribute 'to_json'" + ] + } + ], + "source": [ + "data2[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "d68bd032-d024-4fc3-b5cc-a16b7cfcbee0", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving the dataset (1/1 shards): 100%|██████████| 1695/1695 [00:00<00:00, 14522.32 examples/s]\n" + ] + } + ], + "source": [ + "data2.save_to_disk('tab_fact_test_unique_tables_def_parse_json')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "54c712eb-865e-4411-a306-38f413fd643b", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=16): 100%|██████████| 1695/1695 [00:00<00:00, 4125.43 examples/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50', 'semtab_xml_attributes_top1_tresh50_answ', 'semtab_xml_attributes_top1_tresh50_label', 'semtab_xml_attributes_top1_tresh50_answ_correct', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_exampples_description_top1_tresh50_label', 'semtab_xml_elements_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_description_top1_tresh50_answ', 'semtab_xml_elements_description_top1_tresh50_label', 'semtab_xml_elements_description_top1_tresh50_answ_correct', 'semtab_xml_elements_top1_tresh50_answ', 'semtab_xml_elements_top1_tresh50_label', 'semtab_xml_elements_top1_tresh50_answ_correct', '__index_level_0__', 'column_defenition', 'column_defenition_json'],\n", + " num_rows: 1695\n", + "})" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.filter(lambda x: True if x['column_defenition_json']!= 'None' else False,num_proc=16)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2e216202-352e-4b1b-82c3-9b603f2f8cfd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          idtable_csvtable_textlabelstatementtable_captionsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50semtab_xml_attributes_datatype_exampples_description_top1_tresh50semtab_xml_attributes_exampples_description_top1_tresh50semtab_xml_attributes_description_top1_tresh50...semtab_xml_elements_exampples_description_top1_tresh50_answ_correctsemtab_xml_elements_description_top1_tresh50_answsemtab_xml_elements_description_top1_tresh50_labelsemtab_xml_elements_description_top1_tresh50_answ_correctsemtab_xml_elements_top1_tresh50_answsemtab_xml_elements_top1_tresh50_labelsemtab_xml_elements_top1_tresh50_answ_correct__index_level_0__column_defenitioncolumn_defenition_json
          002-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema be in the top 5 for the master tourn...tony lema<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t......The error is due to the incorrect key used in ...Here is the single-line pandas expression that...FalseThe error is due to the fact that the column n...Here's a single-line pandas expression that ch...NoneNone0Okay, let's tackle this problem. So, I need to...{\"tournament\": \"The proper name of a golf tour...
          112-1145226-5.html.csvplayer#span#start#tries#conv#pens#drop\\nvaea a...1paul emerick do not have the greatest number o...united states national rugby union team<TABLE DESCRIPTION=\"united states national rug...<TABLE DESCRIPTION=\"united states national rug...<TABLE DESCRIPTION=\"united states national rug...<TABLE DESCRIPTION=\"united states national rug......NoneHere's the single-line pandas expression that ...FalseNone```json\\n\"PANDA\": \"df[df['player'] == 'Paul Em...TrueNone10Okay, let's tackle this problem. So, I need to...{\"player\": \"The name of a rugby player on the ...
          221-29063233-1.html.csvno overall#no for series#title#directed by#wri...1the sweet dream episode happen later in the se...merlin (series 2)<TABLE DESCRIPTION=\"merlin (series 2)\"><HEADER...<TABLE DESCRIPTION=\"merlin (series 2)\"><HEADER...<TABLE DESCRIPTION=\"merlin (series 2)\"><HEADER...<TABLE DESCRIPTION=\"merlin (series 2)\"><HEADER......Here is the corrected pandas code:\\n\\n```pytho...Here is a single-line pandas expression that c...NoneNone```json\\n\"PANDA\": \"df.loc[df['title'].str.cont...FalseNone20Okay, let's tackle this problem. So, I need to...{\"no overall\": \"The sequential episode number ...
          332-17200019-10.html.csvplayer#league#title playoff#super cup#total\\nm...04 player score 3 goal total , and all 4 be in ...2008 - 09 r.s.c. anderlecht season<TABLE DESCRIPTION=\"2008 - 09 r.s.c. anderlech...<TABLE DESCRIPTION=\"2008 - 09 r.s.c. anderlech...<TABLE DESCRIPTION=\"2008 - 09 r.s.c. anderlech...<TABLE DESCRIPTION=\"2008 - 09 r.s.c. anderlech......NoneHere is the single-line pandas expression to c...FalseNone```json\\n\"PANDA\": \"df[(df['player']=='4 player...FalseNone30Okay, let's tackle this problem. So, I need to...{\"player\": \"The proper name of a football play...
          442-1127788-3.html.csvgoal#date#score#result#competition\\n1#5 februa...1rafael márquez score 3 goal in his career at i...rafael márquez<TABLE DESCRIPTION=\"rafael márquez\"><HEADER NA...<TABLE DESCRIPTION=\"rafael márquez\"><HEADER NA...<TABLE DESCRIPTION=\"rafael márquez\"><HEADER NA...<TABLE DESCRIPTION=\"rafael márquez\"><HEADER NA......The error is due to the fact that the code is ...Here is the Python code that verifies whether ...NoneNoneHere is the single-line pandas expression that...FalseThe error is due to the fact that the keys in ...40Okay, let's tackle this problem. So, I need to...{\"goal\": \"Quantitative indicator representing ...
          ..................................................................
          169016901-18365784-3.html.csvdeparture#going to#calling at#arrival#operator...1the train that arrive on 21.26 have depart on ...none<TABLE DESCRIPTION=\"none\"><HEADER NAME=\"depart...<TABLE DESCRIPTION=\"none\"><HEADER NAME=\"depart...<TABLE DESCRIPTION=\"none\"><HEADER NAME=\"depart...<TABLE DESCRIPTION=\"none\"><HEADER NAME=\"depart......NoneHere is the single-line pandas expression that...FalseNone```json\\n\"PANDA\": \"df['arrival'] <= df['depart...NoneNone12750Okay, let's tackle this problem. So, I need to...{\"departure\": \"Scheduled departure time of the...
          169116911-28819393-1.html.csvyear#candidates#total votes#average votes per ...1for each candidate with a 3.29% average , the ...green party of england and wales election results<TABLE DESCRIPTION=\"green party of england and...<TABLE DESCRIPTION=\"green party of england and...<TABLE DESCRIPTION=\"green party of england and...<TABLE DESCRIPTION=\"green party of england and......NoneHere is the single-line pandas expression that...FalseNoneHere is the single-line pandas expression that...FalseNone12760Okay, let's tackle this problem. So, I need to...{\"year\": \"The election year, presented as a fo...
          169216921-22355-5.html.csvrank#athlete#nation#olympics#gold#silver#bronz...1rank numer 1 be the best ranking of all the at...list of olympic medalists in athletics (men)<TABLE DESCRIPTION=\"list of olympic medalists ...<TABLE DESCRIPTION=\"list of olympic medalists ...<TABLE DESCRIPTION=\"list of olympic medalists ...<TABLE DESCRIPTION=\"list of olympic medalists ......NoneHere is the single-line pandas expression that...TrueThe error is due to the fact that the pandas_c...Here is the Python code that translates the gi...TrueNone12767Okay, let's tackle this problem. So, I need to...{\"rank\": \"The athlete's competitive position i...
          169316931-182499-1.html.csvenzyme#location#substrate#product#chromosome#e...1the substrate for enzyme ala dehydratase be δ ...porphyrin<TABLE DESCRIPTION=\"porphyrin\"><HEADER NAME=\"e...<TABLE DESCRIPTION=\"porphyrin\"><HEADER NAME=\"e...<TABLE DESCRIPTION=\"porphyrin\"><HEADER NAME=\"e...<TABLE DESCRIPTION=\"porphyrin\"><HEADER NAME=\"e......NoneHere is the single-line pandas expression that...TrueNoneThe following is the single-line pandas expres...TrueNone12769Okay, I need to analyze the given table schema...{\"enzyme\": \"Biochemical name of the enzyme, fo...
          169416942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...1the new york jet play at 1:00 pm on sunday , n...1977 pittsburgh steelers season<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...<TABLE DESCRIPTION=\"1977 pittsburgh steelers s......NoneHere is a Python pandas code that checks if th...FalseNoneHere is the pandas code to verify the given st...TrueThe error is due to the fact that the code is ...12775Okay, let me tackle this problem. So, I need t...{\"week\": \"The sequential week number in the se...
          \n", + "

          1695 rows × 37 columns

          \n", + "
          " + ], + "text/plain": [ + " id table_csv \\\n", + "0 0 2-1570274-4.html.csv \n", + "1 1 2-1145226-5.html.csv \n", + "2 2 1-29063233-1.html.csv \n", + "3 3 2-17200019-10.html.csv \n", + "4 4 2-1127788-3.html.csv \n", + "... ... ... \n", + "1690 1690 1-18365784-3.html.csv \n", + "1691 1691 1-28819393-1.html.csv \n", + "1692 1692 1-22355-5.html.csv \n", + "1693 1693 1-182499-1.html.csv \n", + "1694 1694 2-14418812-1.html.csv \n", + "\n", + " table_text label \\\n", + "0 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "1 player#span#start#tries#conv#pens#drop\\nvaea a... 1 \n", + "2 no overall#no for series#title#directed by#wri... 1 \n", + "3 player#league#title playoff#super cup#total\\nm... 0 \n", + "4 goal#date#score#result#competition\\n1#5 februa... 1 \n", + "... ... ... \n", + "1690 departure#going to#calling at#arrival#operator... 1 \n", + "1691 year#candidates#total votes#average votes per ... 1 \n", + "1692 rank#athlete#nation#olympics#gold#silver#bronz... 1 \n", + "1693 enzyme#location#substrate#product#chromosome#e... 1 \n", + "1694 week#date#opponent#time ( et )#result#record#g... 1 \n", + "\n", + " statement \\\n", + "0 tony lema be in the top 5 for the master tourn... \n", + "1 paul emerick do not have the greatest number o... \n", + "2 the sweet dream episode happen later in the se... \n", + "3 4 player score 3 goal total , and all 4 be in ... \n", + "4 rafael márquez score 3 goal in his career at i... \n", + "... ... \n", + "1690 the train that arrive on 21.26 have depart on ... \n", + "1691 for each candidate with a 3.29% average , the ... \n", + "1692 rank numer 1 be the best ranking of all the at... \n", + "1693 the substrate for enzyme ala dehydratase be δ ... \n", + "1694 the new york jet play at 1:00 pm on sunday , n... \n", + "\n", + " table_caption \\\n", + "0 tony lema \n", + "1 united states national rugby union team \n", + "2 merlin (series 2) \n", + "3 2008 - 09 r.s.c. anderlecht season \n", + "4 rafael márquez \n", + "... ... \n", + "1690 none \n", + "1691 green party of england and wales election results \n", + "1692 list of olympic medalists in athletics (men) \n", + "1693 porphyrin \n", + "1694 1977 pittsburgh steelers season \n", + "\n", + " semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50 \\\n", + "0
          \n", + "\n", + "
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          table_csvtable_textcolumn_defenition_json
          02-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...{\"tournament\": \"The proper name of a golf tour...
          12-1145226-5.html.csvplayer#span#start#tries#conv#pens#drop\\nvaea a...{\"player\": \"The name of a rugby player on the ...
          21-29063233-1.html.csvno overall#no for series#title#directed by#wri...{\"no overall\": \"The sequential episode number ...
          32-17200019-10.html.csvplayer#league#title playoff#super cup#total\\nm...{\"player\": \"The proper name of a football play...
          42-1127788-3.html.csvgoal#date#score#result#competition\\n1#5 februa...{\"goal\": \"Quantitative indicator representing ...
          ............
          16901-18365784-3.html.csvdeparture#going to#calling at#arrival#operator...{\"departure\": \"Scheduled departure time of the...
          16911-28819393-1.html.csvyear#candidates#total votes#average votes per ...{\"year\": \"The election year, presented as a fo...
          16921-22355-5.html.csvrank#athlete#nation#olympics#gold#silver#bronz...{\"rank\": \"The athlete's competitive position i...
          16931-182499-1.html.csvenzyme#location#substrate#product#chromosome#e...{\"enzyme\": \"Biochemical name of the enzyme, fo...
          16942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...{\"week\": \"The sequential week number in the se...
          \n", + "

          1695 rows × 3 columns

          \n", + "" + ], + "text/plain": [ + " table_csv \\\n", + "0 2-1570274-4.html.csv \n", + "1 2-1145226-5.html.csv \n", + "2 1-29063233-1.html.csv \n", + "3 2-17200019-10.html.csv \n", + "4 2-1127788-3.html.csv \n", + "... ... \n", + "1690 1-18365784-3.html.csv \n", + "1691 1-28819393-1.html.csv \n", + "1692 1-22355-5.html.csv \n", + "1693 1-182499-1.html.csv \n", + "1694 2-14418812-1.html.csv \n", + "\n", + " table_text \\\n", + "0 tournament#wins#top - 5#top - 10#top - 25#even... \n", + "1 player#span#start#tries#conv#pens#drop\\nvaea a... \n", + "2 no overall#no for series#title#directed by#wri... \n", + "3 player#league#title playoff#super cup#total\\nm... \n", + "4 goal#date#score#result#competition\\n1#5 februa... \n", + "... ... \n", + "1690 departure#going to#calling at#arrival#operator... \n", + "1691 year#candidates#total votes#average votes per ... \n", + "1692 rank#athlete#nation#olympics#gold#silver#bronz... \n", + "1693 enzyme#location#substrate#product#chromosome#e... \n", + "1694 week#date#opponent#time ( et )#result#record#g... \n", + "\n", + " column_defenition_json \n", + "0 {\"tournament\": \"The proper name of a golf tour... \n", + "1 {\"player\": \"The name of a rugby player on the ... \n", + "2 {\"no overall\": \"The sequential episode number ... \n", + "3 {\"player\": \"The proper name of a football play... \n", + "4 {\"goal\": \"Quantitative indicator representing ... \n", + "... ... \n", + "1690 {\"departure\": \"Scheduled departure time of the... \n", + "1691 {\"year\": \"The election year, presented as a fo... \n", + "1692 {\"rank\": \"The athlete's competitive position i... \n", + "1693 {\"enzyme\": \"Biochemical name of the enzyme, fo... \n", + "1694 {\"week\": \"The sequential week number in the se... \n", + "\n", + "[1695 rows x 3 columns]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = df_data[['table_csv','table_text','column_defenition_json']]\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "13068c06-5274-486e-9dda-144591465632", + "metadata": {}, + "outputs": [], + "source": [ + "from io import StringIO\n", + "import re" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "137c065f-4d57-4254-aa07-2c9851573e14", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----------\n", + "{'sopachuymunicipality', 'elvillarmunicipality', 'language', 'tominamunicipality', 'padillamunicipality', 'villaalcalámunicipality'}\n", + "{'sopachuymunicipality', 'elvillarmunicipality', 'language', 'tominaprovincemunicipality', 'padillamunicipality', 'villaalcalámunicipality'}\n", + "{'tominamunicipality'}\n", + "----------\n", + "{'title', 'director', 'studio', 'worldwidegross', 'rank'}\n", + "{'title', 'director', 'studio', 'rank', 'worldwide_gross'}\n", + "{'worldwidegross'}\n", + "----------\n", + "{'tujiapopulation', 'province', 'county', '%ofchinastujiapopulation', 'prefecture'}\n", + "{'tujiapopulation', 'province', 'county', \"%ofchina'stujiapopulation\", 'prefecture'}\n", + "{'%ofchinastujiapopulation'}\n" + ] + } + ], + "source": [ + "for i,data in df.iterrows():\n", + " ddd = pd.read_csv(StringIO(data['table_text']), delimiter='#')\n", + " col = set([re.sub(' ','',k).lower() for k in ddd.columns])\n", + " defgen_key = set([re.sub(' ','',k).lower() for k in json.loads(data['column_defenition_json']).keys()])\n", + " \n", + " if len(col-defgen_key)>0:\n", + " print('-'*10)\n", + " print(col)\n", + " print(defgen_key)\n", + " print(col-defgen_key)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "ca0d7d32-cfab-4a18-a857-6d37ef8d429e", + "metadata": {}, + "outputs": [], + "source": [ + "df.to_parquet(\"df.parquet.gzip\", compression=\"gzip\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "090b8d5c-f9b6-4031-a953-cb05ea61e352", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          table_csvcolumn_defenition_json
          02-1570274-4.html.csv{\"tournament\": \"The proper name of a golf tour...
          12-1145226-5.html.csv{\"player\": \"The name of a rugby player on the ...
          21-29063233-1.html.csv{\"no overall\": \"The sequential episode number ...
          32-17200019-10.html.csv{\"player\": \"The proper name of a football play...
          42-1127788-3.html.csv{\"goal\": \"Quantitative indicator representing ...
          .........
          16901-18365784-3.html.csv{\"departure\": \"Scheduled departure time of the...
          16911-28819393-1.html.csv{\"year\": \"The election year, presented as a fo...
          16921-22355-5.html.csv{\"rank\": \"The athlete's competitive position i...
          16931-182499-1.html.csv{\"enzyme\": \"Biochemical name of the enzyme, fo...
          16942-14418812-1.html.csv{\"week\": \"The sequential week number in the se...
          \n", + "

          1695 rows × 2 columns

          \n", + "
          " + ], + "text/plain": [ + " table_csv \\\n", + "0 2-1570274-4.html.csv \n", + "1 2-1145226-5.html.csv \n", + "2 1-29063233-1.html.csv \n", + "3 2-17200019-10.html.csv \n", + "4 2-1127788-3.html.csv \n", + "... ... \n", + "1690 1-18365784-3.html.csv \n", + "1691 1-28819393-1.html.csv \n", + "1692 1-22355-5.html.csv \n", + "1693 1-182499-1.html.csv \n", + "1694 2-14418812-1.html.csv \n", + "\n", + " column_defenition_json \n", + "0 {\"tournament\": \"The proper name of a golf tour... \n", + "1 {\"player\": \"The name of a rugby player on the ... \n", + "2 {\"no overall\": \"The sequential episode number ... \n", + "3 {\"player\": \"The proper name of a football play... \n", + "4 {\"goal\": \"Quantitative indicator representing ... \n", + "... ... \n", + "1690 {\"departure\": \"Scheduled departure time of the... \n", + "1691 {\"year\": \"The election year, presented as a fo... \n", + "1692 {\"rank\": \"The athlete's competitive position i... \n", + "1693 {\"enzyme\": \"Biochemical name of the enzyme, fo... \n", + "1694 {\"week\": \"The sequential week number in the se... \n", + "\n", + "[1695 rows x 2 columns]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "dd = pd.read_parquet(\"df.parquet.gzip\")\n", + "dd" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "e45d9197-8b13-4d11-84f8-310da24036ae", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'player': 'The proper name of a football player from R.S.C. Anderlecht, presented in text format.',\n", + " 'league': 'Quantitative indicator of the number of goals scored by the player in the league competition (integer).',\n", + " 'title playoff': 'Quantitative indicator of the number of goals scored by the player in the title playoff competition (integer).',\n", + " 'super cup': 'Quantitative indicator of the number of goals scored by the player in the super cup competition (integer).',\n", + " 'total': 'The total number of goals scored by the player across all competitions (integer).'}" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "json.loads(dd[dd['table_csv']=='2-17200019-10.html.csv']['column_defenition_json'].to_list()[0])" + ] + }, + { + "cell_type": "markdown", + "id": "411a1d9c-fc98-457d-8b36-24568fa33712", + "metadata": {}, + "source": [ + "# Make colum defenition dataset Pan tabfact" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e1678c89-6c95-4c7e-b56b-589febe12ef5", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "70933002-1b0b-4328-802e-ae04eb7799f4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['statement', 'table_text', 'pandas_code', 'pandas_eval', 'table_csv', 'label', 'table_caption', '__index_level_0__', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'column_defenition'],\n", + " num_rows: 13167\n", + "})" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset = load_from_disk('pantab_fact_train_unique_tables_def')\n", + "dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "720a1efc-4b86-488a-a436-6f834c4a36d1", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Okay, let's tackle this problem. So, I need to analyze the given table schema and create a JSON dictionary where each header has a semantically succinct definition. The task is to look at each header, figure out what it represents, and include any necessary format details or units from the examples.\n", + "\n", + "First, I'll start by understanding the structure of the input. The table description is about the Canadian TV series \"Who Do You Think You Are?\". The headers are: total no, celebrity, director, original air date, and viewers.\n", + "\n", + "Looking at Example 1 from the problem statement, they included units when present in the examples. For instance, diameter_km had units in the examples (km), so the definition included \"Unit of measurement: kilometers (km).\" Similarly, gravity_ms2 included m/s².\n", + "\n", + "In Example 2, there were no units, so the definitions were straightforward text descriptions.\n", + "\n", + "Example 3 had units like inches, GB, mAh, so those were included.\n", + "\n", + "Now, for the real data provided:\n", + "\n", + "- total no: examples are [8, 10, 1]. These are numbers. The name is \"total no\", which probably stands for \"total number\". So it's likely the count of something, maybe episodes? But the description isn't clear. Wait, the table is about the TV series. The \"total no\" could be the total number of episodes in a season or something. Since the examples are numbers (8, 10, 1), the definition should mention it's an integer representing the count.\n", + "\n", + "- celebrity: examples are names like \"sonja smits\". So it's the name of the celebrity featured in the episode.\n", + "\n", + "- director: examples are names like \"margaret slaght\", so the director of the episode.\n", + "\n", + "- original air date: examples are dates like \"17 january 2008\". Need to note the format here. It's written as \"day month year\", but in the examples, it's \"17 january 2008\", so the format is day followed by lowercase month name (not abbreviated) and year. So the definition should mention the date format.\n", + "\n", + "- viewers: examples are \"n / a\". This stands for \"not available\" or \"not applicable\". So the header is the number of viewers, but in the examples, they're marked as \"n / a\", which is a common abbreviation. So the definition should state that it's the number of viewers, with \"n / a\" indicating no data.\n", + "\n", + "Wait, the problem says if there are units in the examples, include them. But in this case, viewers has \"n / a\" as examples, which isn't a unit. However, the example entries are \"n / a\", which is a placeholder. So the viewers header's example isn't a unit but a specific indicator that data isn't available. So perhaps the definition should mention that the value is the number of viewers, but if data isn't available, it's marked as \"n / a\".\n", + "\n", + "Let's check the examples given in the problem. In Example 1, the moons header had examples [1, 2, 95], which are integers. So the definition says it's a quantitative indicator as an integer. Similarly, for viewers, the example is \"n / a\", which is a string. So the definition would have to state that it's the number of viewers, and if data is unavailable, it's marked as \"n / a\".\n", + "\n", + "Wait, the problem says: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\" In the examples provided for viewers, there are no units (they are \"n / a\"), so we don't include units here. But in the examples given in the problem statement, for instance, in Example 1, the examples have units (km, m/s²), so we included those. So in this real data case, for viewers, since the examples are \"n / a\", which is not a unit but a placeholder, there's no unit to include.\n", + "\n", + "Let me proceed step by step.\n", + "\n", + "First header: total no. The examples are integers (8, 10, 1). So the definition should be the total number of something (probably episodes), as an integer.\n", + "\n", + "Second: celebrity. Examples are names of people. So the proper name of the celebrity featured.\n", + "\n", + "Third: director. Examples are names of directors.\n", + "\n", + "Fourth: original air date. Examples are in \"day month year\" format (e.g., \"17 january 2008\"). So the format is day (number), lowercase month name, year. But the problem says to describe how to interpret signs, abbreviations, etc. So the definition should note that the date is in the format \"DD month YYYY\", with the month written out in lowercase.\n", + "\n", + "Fifth: viewers. The examples are \"n / a\", which is a standard abbreviation for \"not available\" or \"not applicable\". So the definition should state that it's the number of viewers, but if unavailable, marked as \"n / a\".\n", + "\n", + "Wait, but the problem says: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\" Since the examples here are \"n / a\", which isn't a unit, we don't include any units. So the viewers definition would mention that the value is the number of viewers, but if data isn't available, it's marked as \"n / a\".\n", + "\n", + "Let me check the examples again. In Example 1, the \"moons\" header's examples are numbers (1, 2, 95), which are integers. The definition states that it's the count as an integer. Similarly, here \"total no\" is a count, so integer. So the definition for \"total no\" would be \"The total number of episodes (integer)\".\n", + "\n", + "Wait, but the problem says to make it semantically succinct. Let's see:\n", + "\n", + "For \"total no\": The examples are numbers (8, 10, 1). The header is \"total no\", which is likely \"total number\" of something. Since the table is about a TV series, maybe the number of episodes. So the definition would be \"The total number of episodes in the series (integer).\"\n", + "\n", + "For \"celebrity\": The examples are names, so \"The proper name of a celebrity featured in the episode.\"\n", + "\n", + "For \"director\": \"The name of the director responsible for the episode.\"\n", + "\n", + "For \"original air date\": The examples are dates in \"17 january 2008\" format. So \"The date when the episode was first broadcast, formatted as 'DD month YYYY' (e.g., '17 january 2008').\"\n", + "\n", + "For \"viewers\": The examples are \"n / a\", which means \"not available\". So \"The number of viewers for the episode, with 'n / a' indicating data not available.\"\n", + "\n", + "Wait, but the problem says: \"how to interpret signs, abbreviations, or complex strings, such as 'A - B'\". In this case, \"n / a\" is an abbreviation. So the definition should explain that \"n / a\" stands for \"not available\".\n", + "\n", + "So for viewers: \"The number of viewers for the episode. Unit of measurement: N/A (not available) when data is not provided.\"\n", + "\n", + "Wait, but \"n / a\" is not a unit. Units are things like kg, m/s², etc. So the problem says if there are units in the examples, include them. Since \"n / a\" is not a unit but a placeholder, there's no unit here. So the definition should mention that \"n / a\" is used when data isn't available.\n", + "\n", + "So the viewers definition would be: \"The number of viewers for the episode. The value 'n / a' indicates that data is not available.\"\n", + "\n", + "But the problem says: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\" Since the examples don't have units (they have \"n / a\"), we don't add units. So just the description.\n", + "\n", + "Let me verify with Example 1: The diameter_km has units in the examples (km), so we include them. In Example 3, battery_mah has mAh, so we include units. So in this case, viewers has \"n / a\" in examples, which is not a unit. So we don't include a unit, but mention that \"n / a\" is used when data is not available.\n", + "\n", + "Putting it all together:\n", + "\n", + "total no: \"The total number of episodes in the series (integer).\"\n", + "\n", + "celebrity: \"The proper name of a celebrity featured in the episode (string).\"\n", + "\n", + "director: \"The name of the director responsible for the episode (string).\"\n", + "\n", + "original air date: \"The date of the episode's original broadcast, formatted as 'DD month YYYY' (e.g., '17 january 2008').\"\n", + "\n", + "viewers: \"The number of viewers for the episode, with 'n / a' indicating unavailable data.\"\n", + "\n", + "Wait, but in Example 1, the \"type\" header had \"terrestrial\" and \"gas giant\" as examples, which are specific terms. The definition explained what those terms mean. So for \"original air date\", maybe it's not necessary to explain the date format in the definition, but the problem says to describe format features.\n", + "\n", + "The problem states: \"its format features (how to interpret signs, abbreviations, or complex strings, such as 'A - B')\". So for the date, the format is part of the header description. So the example format is \"DD month YYYY\", which is written with the month name in lowercase, no abbreviation. So the definition should mention that.\n", + "\n", + "Also, the \"viewers\" header's example uses \"n / a\", which is an abbreviation. So the definition should explain that \"n / a\" stands for \"not available\".\n", + "\n", + "Now, checking Example 3: \"screen_size\" is described as \"The diagonal size of the device's display, represented as a decimal. Unit of measurement: inches.\" So the format for the value (decimal) and the unit (inches) are included.\n", + "\n", + "So for the original air date, since it's a date, we need to mention how it's formatted. The examples are \"17 january 2008\", so day (number), month name (lowercase), year. So the definition should include that format.\n", + "\n", + "Similarly, for viewers, since the examples are \"n / a\", the definition should state that \"n / a\" is used when data isn't available.\n", + "\n", + "So finalizing each header:\n", + "\n", + "total no: \"Total number of episodes in the series (integer).\"\n", + "\n", + "celebrity: \"Name of the celebrity featured in the episode (string).\"\n", + "\n", + "director: \"Name of the director responsible for the episode (string).\"\n", + "\n", + "original air date: \"Date when the episode was first broadcast, formatted as 'DD month YYYY' (e.g., '17 january 2008').\"\n", + "\n", + "viewers: \"Number of viewers for the episode, with 'n / a' indicating unavailable data.\"\n", + "\n", + "Wait, but the problem says \"semantically succinct\". So maybe \"The number of viewers, with 'n / a' indicating unavailable data.\"\n", + "\n", + "But in the examples, the output for \"gravity_ms2\" includes the unit as \"meters per second squared ($$m/s^2$$)\". So units are included when present. But here, for viewers, the examples have \"n / a\", which is a placeholder. So there's no unit here, so just the description.\n", + "\n", + "Now, checking the examples from the problem statement again. In Example 2, there are no units, so the definitions are straightforward.\n", + "\n", + "So, for the output, the JSON should have each header's name as key, and the description as value. Let's structure each definition.\n", + "\n", + "For \"total no\":\n", + "\n", + "The examples are integers (8, 10, 1), so it's a count. The header is \"total no\", likely \"total number\". The definition should state it's the total number of something. Given the context of a TV series, it's probably the total number of episodes. So:\n", + "\n", + "\"total no\": \"The total number of episodes in the series (integer).\"\n", + "\n", + "But the problem says \"semantically succinct\". Maybe \"Total number of episodes (integer).\"\n", + "\n", + "Similarly, celebrity is \"The name of the celebrity featured in the episode (string).\"\n", + "\n", + "director: \"The director of the episode (string).\"\n", + "\n", + "original air date: \"The date of original broadcast in format 'DD month YYYY' (e.g., '17 january 2008').\"\n", + "\n", + "viewers: \"Number of viewers, with 'n / a' indicating unavailable data.\"\n", + "\n", + "Wait, but the problem says to include units if present in examples. Since viewers examples are \"n / a\", which isn't a unit, we don't add units. So the viewers definition is as above.\n", + "\n", + "Now, check if any headers have units. None of the examples for viewers have units. The others are numbers (total no), names (celebrity, director), date (original air date). So only total no is a number, but it's a count, not a measurement with units (like km or m/s²).\n", + "\n", + "Wait, total no is a count, so it's just an integer. So in the definition, it's \"integer\".\n", + "\n", + "Let me look back at Example 1. The moons header was \"Quantitative indicator indicating the total number of confirmed natural satellites of the planet (integer).\"\n", + "\n", + "So similar here, total no would be a quantitative indicator (integer) representing the count of episodes.\n", + "\n", + "So the definition for total no: \"Quantitative indicator of the total number of episodes (integer).\"\n", + "\n", + "But the problem says \"semantically succinct\", so maybe \"Total number of episodes (integer).\"\n", + "\n", + "Yes, that's more concise.\n", + "\n", + "Okay, I think that's all. Now, let's write the JSON.\n", + "\n", + "\n", + "{\n", + " \"total no\": \"Total number of episodes in the series (integer).\",\n", + " \"celebrity\": \"Proper name of the celebrity featured in the episode (string).\",\n", + " \"director\": \"Name of the director responsible for the episode (string).\",\n", + " \"original air date\": \"Date of first broadcast in format 'DD month YYYY' (e.g., '17 january 2008').\",\n", + " \"viewers\": \"Number of viewers for the episode, with 'n / a' indicating unavailable data.\"\n", + "}\n" + ] + } + ], + "source": [ + "print(dataset['column_defenition'][44])" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "d6c8b549-badf-40ff-b2a7-95b3f0cac923", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=16): 100%|██████████| 13167/13167 [00:00<00:00, 22458.64 examples/s]\n" + ] + } + ], + "source": [ + "p = dataset.filter(lambda x: True if x['column_defenition']!='None' else False,num_proc=16)" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "cd630cdd-96d8-4ed7-8c93-84c4abc2102c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['statement', 'table_text', 'pandas_code', 'pandas_eval', 'table_csv', 'label', 'table_caption', '__index_level_0__', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'column_defenition'],\n", + " num_rows: 13167\n", + "})" + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "4a5c6627-9416-4a32-812d-9f7858c482c4", + "metadata": {}, + "outputs": [], + "source": [ + "def extract_json(data):\n", + " try:\n", + " data['column_defenition_json'] = json.dumps(extract_json_from_text(data['column_defenition']))\n", + " except Exception as e:\n", + " print (e)\n", + " data['column_defenition_json'] = 'None'\n", + " return data" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "e8dac7e5-d582-420a-a282-6f0b37eadf84", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 100%|██████████| 13167/13167 [00:00<00:00, 15343.98 examples/s]\n" + ] + } + ], + "source": [ + "data2 = dataset.map(extract_json,num_proc=16)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "32d92ff4-7fb1-4e66-8c01-a33927154051", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'statement': 'haroldo be mention as a brazil scorer for 2 different game',\n", + " 'table_text': 'date#result#score#brazil scorers#competition\\nmay 11 , 1919#w#6 - 0#friedenreich (3) , neco (2) , haroldo#south american championship\\nmay 18 , 1919#w#3 - 1#heitor , amílcar , millon#south american championship\\nmay 26 , 1919#d#2 - 2#neco (2)#south american championship\\nmay 29 , 1919#w#1 - 0#friedenreich#south american championship\\njune 1 , 1919#d#3 - 3#haroldo , arlindo (2)#taça roberto cherry\\n',\n", + " 'pandas_code': \"df['brazil scorers'].apply(lambda x: 'haroldo' in x).sum() == 2\",\n", + " 'pandas_eval': 'True',\n", + " 'table_csv': '2-15401676-3.html.csv',\n", + " 'label': 1,\n", + " 'table_caption': '1919 in brazilian football',\n", + " '__index_level_0__': 0,\n", + " 'semtab_xml_attributes_exampples_description_top1_tresh50': '
          ',\n", + " 'column_defenition': 'Okay, let\\'s tackle this problem. So, I need to analyze the given table schema for Brazilian football in 1919 and create a JSON dictionary where each header has a semantically succinct definition. The output should include format features and units if present in examples.\\n\\nFirst, looking at the table description: \"1919 in brazilian football\". The headers are date, result, score, brazil scorers, and competition.\\n\\nStarting with \"date\". The examples are dates like \"may 11, 1919\". So it\\'s a date string in the format of month day, year. Need to note the format here. The examples are in lowercase month names followed by day and year, separated by commas. So the definition should mention the date format.\\n\\nNext, \"result\" has examples like \"d\", \"w\", \"w\". Those are probably abbreviations for game outcomes. In football, \"d\" might stand for draw, \"w\" for win. So the definition should explain that these are single-letter codes for result types.\\n\\n\"score\" examples are \"2 - 2\", \"3 - 1\", \"3 - 3\". This is a score format with two numbers separated by a dash, representing goals scored by each team. The example shows two numbers with a dash, so the format is \"goals scored by home team - goals scored by away team\".\\n\\n\"Brazil scorers\" has examples with names and parentheses, like \"friedenreich (3), neco (2), haroldo\". The numbers in parentheses probably indicate the number of goals scored by each player. So this header lists players who scored for Brazil, with their goal counts in parentheses. Some entries have multiple players separated by commas, and some have no numbers if they didn\\'t score multiple times.\\n\\n\"competition\" examples are \"south american championship\" and \"taça roberto cherry\". These are the names of the tournaments. No units here, just text.\\n\\nNow, checking for units. None of the headers have units except maybe \"score\" which is a numerical value but no unit specified. The examples for score are just numbers separated by a dash, so no unit needed there. Similarly, \"date\" is a date, \"result\" is a code, \"brazil scorers\" is a list of names with numbers in parentheses, and \"competition\" is a name.\\n\\nWait, the problem says if there are units of measurement in the EXAMPLES, then include them. Looking at the examples for each header:\\n\\n- date: \"may 11, 1919\" – no units here.\\n- result: \"d\", \"w\" – abbreviations, no units.\\n- score: \"2 - 2\" – numbers without units (just goals).\\n- brazil scorers: names with numbers in parentheses (goal counts), but no units specified. The numbers are just counts.\\n- competition: just names.\\n\\nSo none of these have units of measurement in the examples. But wait, in example 1, diameter_km had km units. In example 3, screen_size had inches, ram_gb had GB, battery_mah had mAh. So the presence of units in the examples is key.\\n\\nIn this current problem, none of the headers have units in the examples. For instance, \"score\" is \"2 - 2\", but there\\'s no unit like goals; it\\'s just numbers. Similarly, \"brazil scorers\" has numbers in parentheses, but those are counts (number of goals), so maybe units are implied as goals. However, the examples don\\'t explicitly state a unit. The problem says if units are in the examples, include them. Since the examples don\\'t have units written out (e.g., \"2 goals\" is not present), we shouldn\\'t add units. So in this case, the headers don\\'t have units to include.\\n\\nNow, crafting the definitions:\\n\\ndate: Should specify the format as month day, year with comma. Examples show \"may 11, 1919\", so the format is \"Month day, year\".\\n\\nresult: The examples are single letters. In football, common abbreviations are \"d\" for draw, \"w\" for win, and possibly \"l\" for loss. But the examples here have \"d\" and \"w\", so the definition should say it\\'s a result code where \"d\" is draw and \"w\" is win.\\n\\nscore: The format is two numbers separated by a dash, e.g., \"2 - 2\", representing goals scored by each team.\\n\\nbrazil scorers: The example shows a list of players, some with goal counts in parentheses. So this is a list of Brazilian players who scored, with the number of goals they scored in parentheses (e.g., \"(3)\" for 3 goals).\\n\\ncompetition: Just the name of the tournament.\\n\\nNow, the output must be in JSON with each header\\'s definition. Let\\'s check the examples given in the problem.\\n\\nExample 1: The definitions include format features like \"integer\", \"units of measurement\". Example 3 specifies units for screen_size, ram_gb, battery_mah.\\n\\nSo for each header here:\\n\\ndate: The format is month (lowercase), day, comma, year. So the definition should mention the format: \"Date in the format \\'Month day, year\\' (e.g., \\'may 11, 1919\\')\".\\n\\nresult: Single-letter code where \\'d\\' = draw, \\'w\\' = win.\\n\\nscore: Format is \"A - B\" where A and B are goal counts.\\n\\nbrazil scorers: Names of players, with goal counts in parentheses (e.g., \"friedenreich (3)\"), separated by commas.\\n\\ncompetition: Name of the tournament.\\n\\nNow, checking the example outputs. For instance, in example 1, the \"diameter_km\" includes the unit. Since there are no units here, we don\\'t need to add units.\\n\\nLet me structure each header:\\n\\ndate: \"The date of a football match, formatted as \\'Month day, year\\' (e.g., \\'may 11, 1919\\').\"\\n\\nresult: \"The match result indicated by a single-letter code where \\'d\\' stands for draw and \\'w\\' stands for win.\"\\n\\nscore: \"The final goal score of the match in the format \\'A - B\\', where A is the number of goals scored by the home team and B is the number of goals scored by the away team.\"\\n\\nbrazil scorers: \"Names of Brazilian players who scored goals, with the number of goals scored by each player in parentheses (e.g., \\'friedenreich (3)\\').\"\\n\\ncompetition: \"The name of the tournament or competition in which the match was played.\"\\n\\nWait, but in the example 3 output, \"ram_gb\" is defined with \"Unit of measurement: gigabytes (GB)\", but in this problem, there are no units. So the answer shouldn\\'t include units here.\\n\\nCheck the problem statement again: \"If there are units of measurement in the EXAMPLES, then include them in the answer.\"\\n\\nIn the examples for this problem, the score is \"2 - 2\", which are numbers but no units. So the definition for score should not mention units. Similarly, the examples for \"brazil scorers\" have numbers in parentheses but no units, so those are counts, not units. So the description would be about the format with the numbers in parentheses indicating goal counts.\\n\\nNow, making sure the definitions are semantically succinct and cover format features.\\n\\nFor \"brazil scorers\", the example is \"friedenreich (3), neco (2), haroldo\". So the format is: player name, possibly followed by goal count in parentheses (number), separated by commas. If a player scored only once, it\\'s not in parentheses. Wait, the example shows \"friedenreich (3), neco (2), haroldo\" where \"haroldo\" has no number. So the number in parentheses is the count of goals. So the definition should explain that the number in parentheses indicates the number of goals scored by that player.\\n\\nIn the output, it\\'s important to note the format of the example strings.\\n\\nLet\\'s finalize each definition:\\n\\ndate: \"The date of a match in the format \\'Month day, year\\' (e.g., \\'may 11, 1919\\').\"\\n\\nresult: \"Match result code where \\'d\\' = draw and \\'w\\' = win.\"\\n\\nscore: \"Final score in the format \\'A - B\\', where A is home team goals and B is away team goals.\"\\n\\nbrazil scorers: \"List of Brazilian players who scored, with goal counts in parentheses (e.g., \\'friedenreich (3)\\')\"\\n\\ncompetition: \"Name of the football competition or tournament.\"\\n\\nWait, the competition example includes \"taça roberto cherry\", which has a special character (taça). So the description should note that it\\'s the name of the competition.\\n\\nNow, checking the examples given in the problem. For example 1, the \"moons\" header is defined as \"Quantitative indicator indicating the total number of confirmed natural satellites of the planet (integer).\"\\n\\nSo for \"brazil scorers\", the definition should mention what the data represents (players and their goal counts), and the format.\\n\\nThe problem says \"format features (how to interpret signs, abbreviations, or complex strings, such as \"A - B\").\"\\n\\nSo for \"score\", since it\\'s \"A - B\", need to explain that it\\'s two numbers separated by a dash.\\n\\nFor \"brazil scorers\", the complex string is names with parentheses for goal counts.\\n\\nLet me check the provided examples again to see the style.\\n\\nIn example 1, \"diameter_km\" is defined with the unit included. For \"gravity_ms2\", the unit is meters per second squared.\\n\\nIn example 3, \"screen_size\" has \"inches\" as unit.\\n\\nIn this problem, none of the headers have units in the examples, so the definitions won\\'t include units.\\n\\nSo, the final definitions:\\n\\ndate: Date of the football match in the format \"Month day, year\" (e.g., \"may 11, 1919\").\\n\\nresult: Single-letter result code where \\'d\\' = draw and \\'w\\' = win.\\n\\nscore: Match score in the format \"A - B\" where A is goals scored by the home team and B by the away team.\\n\\nbrazil scorers: Names of Brazilian players who scored, with number of goals in parentheses (e.g., \"friedenreich (3)\"), separated by commas.\\n\\ncompetition: Name of the football competition (e.g., \"south american championship\").\\n\\nNow, check if \"brazil scorers\" should be written as \"Brazilian players who scored goals\" instead of \"Brazilians players\".\\n\\nAlso, ensure that the format features are mentioned.\\n\\nFor the \"brazil scorers\", the example shows \"friedenreich (3), neco (2), haroldo\" – so it\\'s a list of players, each with optional parentheses indicating goals scored. So the definition should mention that the numbers in parentheses indicate the count of goals scored by each player.\\n\\nLet\\'s write each definition precisely.\\n\\ndate: \"Date of the match in the format \\'Month day, year\\' (e.g., \\'may 11, 1919\\').\"\\n\\nresult: \"Result code where \\'d\\' denotes a draw and \\'w\\' denotes a win.\"\\n\\nscore: \"Final score in the format \\'A - B\\', representing goals scored by home team (A) and away team (B).\"\\n\\nbrazil scorers: \"List of Brazilian players who scored goals, with the number of goals scored by each player indicated in parentheses (e.g., \\'friedenreich (3)\\').\"\\n\\ncompetition: \"Name of the football tournament or competition (e.g., \\'south american championship\\').\"\\n\\nThis should cover all the requirements. Now, convert this into the JSON structure as specified.\\n\\n\\n{\\n \"date\": \"Date of the football match in the format \\'Month day, year\\' (e.g., \\'may 11, 1919\\').\",\\n \"result\": \"Match outcome code where \\'d\\' = draw and \\'w\\' = win.\",\\n \"score\": \"Final goal tally in the format \\'A - B\\', where A = home team goals and B = away team goals.\",\\n \"brazil scorers\": \"List of Brazilian players who scored, with goal counts in parentheses (e.g., \\'friedenreich (3)\\'), separated by commas.\",\\n \"competition\": \"Name of the football tournament or competition (e.g., \\'south american championship\\').\"\\n}',\n", + " 'column_defenition_json': '{\"date\": \"Date of the football match in the format \\'Month day, year\\' (e.g., \\'may 11, 1919\\').\", \"result\": \"Match outcome code where \\'d\\' = draw and \\'w\\' = win.\", \"score\": \"Final goal tally in the format \\'A - B\\', where A = home team goals and B = away team goals.\", \"brazil scorers\": \"List of Brazilian players who scored, with goal counts in parentheses (e.g., \\'friedenreich (3)\\'), separated by commas.\", \"competition\": \"Name of the football tournament or competition (e.g., \\'south american championship\\').\"}'}" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "c6d694c0-0a73-4e6e-9daf-7902777fbda8", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving the dataset (1/1 shards): 100%|██████████| 13167/13167 [00:00<00:00, 32846.33 examples/s]\n" + ] + } + ], + "source": [ + "data2.save_to_disk('pantab_fact_train_unique_tables_def_parse_json')" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "9059a234-ad5d-4aa6-98e0-b0d0b92c9981", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=16): 100%|██████████| 13167/13167 [00:00<00:00, 20409.56 examples/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['statement', 'table_text', 'pandas_code', 'pandas_eval', 'table_csv', 'label', 'table_caption', '__index_level_0__', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'column_defenition', 'column_defenition_json'],\n", + " num_rows: 13167\n", + "})" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.filter(lambda x: True if x['column_defenition_json']!= 'None' else False,num_proc=16)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "99e869fa-f8e3-4654-8f57-aebe721d0e46", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          statementtable_textpandas_codepandas_evaltable_csvlabeltable_caption__index_level_0__semtab_xml_attributes_exampples_description_top1_tresh50column_defenitioncolumn_defenition_json
          0haroldo be mention as a brazil scorer for 2 di...date#result#score#brazil scorers#competition\\n...df['brazil scorers'].apply(lambda x: 'haroldo'...True2-15401676-3.html.csv11919 in brazilian football0<TABLE DESCRIPTION=\"1919 in brazilian football...Okay, let's tackle this problem. So, I need to...{\"date\": \"Date of the football match in the fo...
          1racing like a pro be the most viewed episodeno in series#no in season#title#directed by#wr...df.loc[df['title'] == 'racing like a pro', 'us...True1-11820086-1.html.csv1one tree hill (season 5)10<TABLE DESCRIPTION=\"one tree hill (season 5)\">...Okay, let's tackle this problem. So, I need to...{\"no in series\": \"Sequential episode number in...
          2in 1957 formula one season , jean behra win mo...race name#circuit#date#winning driver#construc...df['winning driver'].value_counts().max() == 4...True1-1140111-5.html.csv11957 formula one season15<TABLE DESCRIPTION=\"1957 formula one season\"><...Okay, let me tackle this problem step by step....{\"race name\": \"The official title of the Formu...
          3the n be from 861 - 869n degree#television service#country#language#c...all(df['n degree'].between(861, 869))True1-15887683-16.html.csv1television in italy19<TABLE DESCRIPTION=\"television in italy\"><HEAD...Okay, I need to analyze this table schema for ...{\"n degree\": \"Numerical identifier for a telev...
          4most of the player be americanplayer#no#nationality#position#years for grizz...df['nationality'].value_counts(normalize=True)...True1-16494599-1.html.csv1memphis grizzlies all - time roster24<TABLE DESCRIPTION=\"memphis grizzlies all - ti...Okay, let's tackle this problem. So, I need to...{\"player\": \"The full name of a basketball play...
          ....................................
          13162tamarine tanasugarn zhang shuai and partner ja...outcome#date#surface#partner#opponents#score\\n...((df['opponents'] == 'tamarine tanasugarn zhan...True2-15272343-4.html.csv1monica niculescu87951<TABLE DESCRIPTION=\"monica niculescu\"><HEADER ...Okay, let me tackle this problem step by step....{\"outcome\": \"Tournament result classification ...
          13163guest of madame guillotine have a shorter run ...episode#broadcast date#run time#viewers (in mi...df.loc[df['episode'] == 'guests of madame guil...True1-1776943-1.html.csv1none87962<TABLE DESCRIPTION=\"none\"><HEADER NAME=\"episod...Okay, let's tackle this problem. So, I need to...{\"episode\": \"The title of a television episode...
          13164alfred university be not found in 1836institution#location#nickname#founded#enrollme...df[df['institution'] == 'alfred university']['...False1-262476-3.html.csv0presidents' athletic conference87963<TABLE DESCRIPTION=\"presidents' athletic confe...Okay, let's tackle this problem. I need to ana...{\"institution\": \"The official name of an educa...
          13165the weight of choice player 56 be 303lb (137 kg)round#choice#player#position#height#weight#col...df[df['choice'] == 56]['weight'].values[0] == ...True1-20861261-4.html.csv12009 indianapolis colts season87964<TABLE DESCRIPTION=\"2009 indianapolis colts se...Okay, let's tackle this problem. I need to ana...{\"round\": \"The draft round number (integer) in...
          13166for 2007 / 08 , metal - volume (thousand tons)...ime exchange (including spot , credit and forw...df.loc[df['ime exchange (including spot , cred...True1-28578233-1.html.csv1iran mercantile exchange87973<TABLE DESCRIPTION=\"iran mercantile exchange\">...Okay, let me tackle this problem step by step....{\"ime exchange (including spot , credit and fo...
          \n", + "

          13167 rows × 11 columns

          \n", + "
          " + ], + "text/plain": [ + " statement \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 racing like a pro be the most viewed episode \n", + "2 in 1957 formula one season , jean behra win mo... \n", + "3 the n be from 861 - 869 \n", + "4 most of the player be american \n", + "... ... \n", + "13162 tamarine tanasugarn zhang shuai and partner ja... \n", + "13163 guest of madame guillotine have a shorter run ... \n", + "13164 alfred university be not found in 1836 \n", + "13165 the weight of choice player 56 be 303lb (137 kg) \n", + "13166 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " table_text \\\n", + "0 date#result#score#brazil scorers#competition\\n... \n", + "1 no in series#no in season#title#directed by#wr... \n", + "2 race name#circuit#date#winning driver#construc... \n", + "3 n degree#television service#country#language#c... \n", + "4 player#no#nationality#position#years for grizz... \n", + "... ... \n", + "13162 outcome#date#surface#partner#opponents#score\\n... \n", + "13163 episode#broadcast date#run time#viewers (in mi... \n", + "13164 institution#location#nickname#founded#enrollme... \n", + "13165 round#choice#player#position#height#weight#col... \n", + "13166 ime exchange (including spot , credit and forw... \n", + "\n", + " pandas_code pandas_eval \\\n", + "0 df['brazil scorers'].apply(lambda x: 'haroldo'... True \n", + "1 df.loc[df['title'] == 'racing like a pro', 'us... True \n", + "2 df['winning driver'].value_counts().max() == 4... True \n", + "3 all(df['n degree'].between(861, 869)) True \n", + "4 df['nationality'].value_counts(normalize=True)... True \n", + "... ... ... \n", + "13162 ((df['opponents'] == 'tamarine tanasugarn zhan... True \n", + "13163 df.loc[df['episode'] == 'guests of madame guil... True \n", + "13164 df[df['institution'] == 'alfred university']['... False \n", + "13165 df[df['choice'] == 56]['weight'].values[0] == ... True \n", + "13166 df.loc[df['ime exchange (including spot , cred... True \n", + "\n", + " table_csv label table_caption \\\n", + "0 2-15401676-3.html.csv 1 1919 in brazilian football \n", + "1 1-11820086-1.html.csv 1 one tree hill (season 5) \n", + "2 1-1140111-5.html.csv 1 1957 formula one season \n", + "3 1-15887683-16.html.csv 1 television in italy \n", + "4 1-16494599-1.html.csv 1 memphis grizzlies all - time roster \n", + "... ... ... ... \n", + "13162 2-15272343-4.html.csv 1 monica niculescu \n", + "13163 1-1776943-1.html.csv 1 none \n", + "13164 1-262476-3.html.csv 0 presidents' athletic conference \n", + "13165 1-20861261-4.html.csv 1 2009 indianapolis colts season \n", + "13166 1-28578233-1.html.csv 1 iran mercantile exchange \n", + "\n", + " __index_level_0__ \\\n", + "0 0 \n", + "1 10 \n", + "2 15 \n", + "3 19 \n", + "4 24 \n", + "... ... \n", + "13162 87951 \n", + "13163 87962 \n", + "13164 87963 \n", + "13165 87964 \n", + "13166 87973 \n", + "\n", + " semtab_xml_attributes_exampples_description_top1_tresh50 \\\n", + "0 ... \n", + "2
          <... \n", + "3
          ... \n", + "\n", + " column_defenition \\\n", + "0 Okay, let's tackle this problem. So, I need to... \n", + "1 Okay, let's tackle this problem. So, I need to... \n", + "2 Okay, let me tackle this problem step by step.... \n", + "3 Okay, I need to analyze this table schema for ... \n", + "4 Okay, let's tackle this problem. So, I need to... \n", + "... ... \n", + "13162 Okay, let me tackle this problem step by step.... \n", + "13163 Okay, let's tackle this problem. So, I need to... \n", + "13164 Okay, let's tackle this problem. I need to ana... \n", + "13165 Okay, let's tackle this problem. I need to ana... \n", + "13166 Okay, let me tackle this problem step by step.... \n", + "\n", + " column_defenition_json \n", + "0 {\"date\": \"Date of the football match in the fo... \n", + "1 {\"no in series\": \"Sequential episode number in... \n", + "2 {\"race name\": \"The official title of the Formu... \n", + "3 {\"n degree\": \"Numerical identifier for a telev... \n", + "4 {\"player\": \"The full name of a basketball play... \n", + "... ... \n", + "13162 {\"outcome\": \"Tournament result classification ... \n", + "13163 {\"episode\": \"The title of a television episode... \n", + "13164 {\"institution\": \"The official name of an educa... \n", + "13165 {\"round\": \"The draft round number (integer) in... \n", + "13166 {\"ime exchange (including spot , credit and fo... \n", + "\n", + "[13167 rows x 11 columns]" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_data = data2.to_pandas()\n", + "df_data" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "2cc54f5c-ecc2-4041-9bde-b36da80c9ec7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          table_csvtable_textcolumn_defenition_json
          02-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...{\"date\": \"Date of the football match in the fo...
          11-11820086-1.html.csvno in series#no in season#title#directed by#wr...{\"no in series\": \"Sequential episode number in...
          21-1140111-5.html.csvrace name#circuit#date#winning driver#construc...{\"race name\": \"The official title of the Formu...
          31-15887683-16.html.csvn degree#television service#country#language#c...{\"n degree\": \"Numerical identifier for a telev...
          41-16494599-1.html.csvplayer#no#nationality#position#years for grizz...{\"player\": \"The full name of a basketball play...
          ............
          131622-15272343-4.html.csvoutcome#date#surface#partner#opponents#score\\n...{\"outcome\": \"Tournament result classification ...
          131631-1776943-1.html.csvepisode#broadcast date#run time#viewers (in mi...{\"episode\": \"The title of a television episode...
          131641-262476-3.html.csvinstitution#location#nickname#founded#enrollme...{\"institution\": \"The official name of an educa...
          131651-20861261-4.html.csvround#choice#player#position#height#weight#col...{\"round\": \"The draft round number (integer) in...
          131661-28578233-1.html.csvime exchange (including spot , credit and forw...{\"ime exchange (including spot , credit and fo...
          \n", + "

          13167 rows × 3 columns

          \n", + "" + ], + "text/plain": [ + " table_csv \\\n", + "0 2-15401676-3.html.csv \n", + "1 1-11820086-1.html.csv \n", + "2 1-1140111-5.html.csv \n", + "3 1-15887683-16.html.csv \n", + "4 1-16494599-1.html.csv \n", + "... ... \n", + "13162 2-15272343-4.html.csv \n", + "13163 1-1776943-1.html.csv \n", + "13164 1-262476-3.html.csv \n", + "13165 1-20861261-4.html.csv \n", + "13166 1-28578233-1.html.csv \n", + "\n", + " table_text \\\n", + "0 date#result#score#brazil scorers#competition\\n... \n", + "1 no in series#no in season#title#directed by#wr... \n", + "2 race name#circuit#date#winning driver#construc... \n", + "3 n degree#television service#country#language#c... \n", + "4 player#no#nationality#position#years for grizz... \n", + "... ... \n", + "13162 outcome#date#surface#partner#opponents#score\\n... \n", + "13163 episode#broadcast date#run time#viewers (in mi... \n", + "13164 institution#location#nickname#founded#enrollme... \n", + "13165 round#choice#player#position#height#weight#col... \n", + "13166 ime exchange (including spot , credit and forw... \n", + "\n", + " column_defenition_json \n", + "0 {\"date\": \"Date of the football match in the fo... \n", + "1 {\"no in series\": \"Sequential episode number in... \n", + "2 {\"race name\": \"The official title of the Formu... \n", + "3 {\"n degree\": \"Numerical identifier for a telev... \n", + "4 {\"player\": \"The full name of a basketball play... \n", + "... ... \n", + "13162 {\"outcome\": \"Tournament result classification ... \n", + "13163 {\"episode\": \"The title of a television episode... \n", + "13164 {\"institution\": \"The official name of an educa... \n", + "13165 {\"round\": \"The draft round number (integer) in... \n", + "13166 {\"ime exchange (including spot , credit and fo... \n", + "\n", + "[13167 rows x 3 columns]" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = df_data[['table_csv','table_text','column_defenition_json']]\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "6b8cd00c-1aaf-418e-b327-61e1c4344a46", + "metadata": {}, + "outputs": [], + "source": [ + "from io import StringIO\n", + "import re" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "65ab0bb8-947b-41d5-8837-0eed83534078", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----------\n", + "{'title', 'type', 'board(inches)', 'board(cm)', 'start', 'pieces', 'playablepowers', 'newunitsnewunitswhencomparedtotheoriginala&a:classicversionofthegame', 'release'}\n", + "{'title', 'type', 'board(inches)', 'board(cm)', 'start', 'newunitsnewunitswhencomparedtotheoriginala&a:classicversionofthegame', 'pieces', 'playablepowers', 'release'}\n", + "{'newunitsnewunitswhencomparedtotheoriginala&a:classicversionofthegame'}\n", + "----------\n", + "{'record', 'team', 'highrebounds', 'date', 'highpoints', 'locationattendance', 'score', 'game', 'highassists'}\n", + "{'record', 'high_assists', 'team', 'location_attendance', 'date', 'high_points', 'score', 'high_rebounds', 'game'}\n", + "{'highassists', 'highpoints', 'locationattendance', 'highrebounds'}\n", + "----------\n", + "{'nationality', 'college/junior/clubteam', 'player', 'round', 'position'}\n", + "{'nationality', 'player', '\"college/junior/clubteam\"', 'round', 'position'}\n", + "{'college/junior/clubteam'}\n", + "----------\n", + "{'netcapacity(mw)', 'reactortype', 'locationchernobyl1chernobyl2chernobyl3chernobyl4chernobyl5ignalina1ignalina2ignalina3kursk1kursk2kursk3kursk4kursk5kursk6leningrad1leningrad2leningrad3leningrad4smolensk1smolensk2smolensk3smolensk4directorateforconstructionofkostomanpp(forkostroma1and2)table31.technologyandsovietenergyavailability-november1981-ntisorderpb82-133455(forignalina4)', 'status', 'grosscapacity(mw)'}\n", + "{'netcapacity(mw)', 'reactortype', 'location', 'status', 'grosscapacity(mw)'}\n", + "{'locationchernobyl1chernobyl2chernobyl3chernobyl4chernobyl5ignalina1ignalina2ignalina3kursk1kursk2kursk3kursk4kursk5kursk6leningrad1leningrad2leningrad3leningrad4smolensk1smolensk2smolensk3smolensk4directorateforconstructionofkostomanpp(forkostroma1and2)table31.technologyandsovietenergyavailability-november1981-ntisorderpb82-133455(forignalina4)'}\n", + "----------\n", + "{'numberofpowiats', 'yearestablished', 'capital', 'voivodeshipafter1569', 'area(kmsquare)in1590(lithuanian)category:articleswithlithuanian-languageexternallinks'}\n", + "{'area(kmsquare)in1590', 'numberofpowiats', 'yearestablished', 'capital', 'voivodeshipafter1569'}\n", + "{'area(kmsquare)in1590(lithuanian)category:articleswithlithuanian-languageexternallinks'}\n", + "----------\n", + "{'federalstate', 'representativeness(inhabitants/mr)', '%oftotalmembers', 'population(onthecensusalsocalledcenso2010)', 'deputiesrequiredignoringthelimits', '%ofthepopulation(censo2010)', 'numberofmembers', 'representativesofnationalaverage'}\n", + "{'federalstate', 'representativeness(inhabitants/mr)', '%oftotalmembers', 'population(onthecensusalsocalledcenso2010)', 'deputiesrequiredignoringthelimits', '%ofthepopulation(censo2010)', 'numberofmembers', 'representativesofnationalaverage'}\n", + "{'%oftotalmembers'}\n", + "----------\n", + "{'copalibertadores1998', 'team', 'intercontinentalcup1998', 'recopasudamericana1998', 'copaconmebol1998', 'copainteramericana1998', 'copamercosur1998'}\n", + "{'copalibertadores1998', 'team', 'recopasudamericana1998', 'copaconmebol1998', 'copainteramericana1998', 'copamercosur1998'}\n", + "{'intercontinentalcup1998'}\n", + "----------\n", + "{'ppgrank', 'appearancespercetages', 'club', 'appearancesvsseasons', 'ptsrank'}\n", + "{'ppgrank', 'appearancespercentages', 'club', 'appearancesvsseasons', 'ptsrank'}\n", + "{'appearancespercetages'}\n", + "----------\n", + "{'☲離líflame', '☴巽xùnwind', '☶艮gènmountain', 'upper→lower↓', '☰乾qiánheaven', '☷坤kūnearth', '☱兌duìlake', '☵坎kǎnwater', '☳震zhènthunder'}\n", + "{'☱兑duìlake', '☲離líflame', '☴巽xùnwind', '☶艮gènmountain', 'upper→lower↓', '☰乾qiánheaven', '☷坤kūnearth', '☵坎kǎnwater', '☳震zhènthunder'}\n", + "{'☱兌duìlake'}\n", + "----------\n", + "{'laps', 'team', 'classpos', 'co-drivers', 'year', 'class', 'pos'}\n", + "{'laps', 'team', 'year', 'class_pos', 'co_drivers', 'class', 'pos'}\n", + "{'co-drivers', 'classpos'}\n", + "----------\n", + "{'season', 'drawn', 'coach', 'penalties', 'pointsfor', 'order', 'played', 'lost', 'pointsagainst', 'pointsdiff'}\n", + "{'season', 'drawn', 'penalties', 'pointsfor', 'order', 'played', 'lost', 'pointsagainst', 'pointsdiff'}\n", + "{'coach'}\n", + "----------\n", + "{'facup', 'total', 'league', 'play-offs', 'leaguecup', 'name'}\n", + "{'fa_cup', 'total', 'league', 'play-offs', 'league_cup', 'name'}\n", + "{'facup', 'leaguecup'}\n", + "----------\n", + "{'speciesworldwide', 'speciesonrãunion', 'species', 'family', 'order'}\n", + "{'speciesworldwide', 'species', 'family', 'order', 'speciesonréunion'}\n", + "{'speciesonrãunion'}\n", + "----------\n", + "{'gicssector', 'bsecode', 'company', 'indexweighting(%', 'city', 'freefloat'}\n", + "{'gicssector', 'bsecode', 'company', 'indexweighting(%)', 'city', 'freefloat'}\n", + "{'indexweighting(%'}\n", + "----------\n", + "{'2005', 'güzelçamlıslostpanther', 'güzelçamlıninkayıppanteri', 'canyayınları', 'collectionofshortstories'}\n", + "{'güzelçamlınınkayıppanteri', '2005', 'güzelçamlıslostpanther', 'canyayınları', 'collectionofshortstories'}\n", + "{'güzelçamlıninkayıppanteri'}\n", + "----------\n", + "{'band', 'role', 'year', 'memebrship', 'albumorsong'}\n", + "{'band', 'role', 'year', 'membership', 'albumorsong'}\n", + "{'memebrship'}\n", + "----------\n", + "{'mar3', 'pre-season', 'poll', 'mar31', 'may26', 'final', 'april7', 'may19', 'may5', 'april28', 'mar24', 'mar17', 'may12', 'april21', 'april14'}\n", + "{'mar3', 'pre-season', 'poll', 'may26', 'final', 'april7', 'may19', 'may5', 'april28', 'mar24', 'mar17', 'may12', 'april21', 'april14'}\n", + "{'mar31'}\n", + "----------\n", + "{'lastmeeting', 'team', 'loss', 'firstplayed', 'draw', 'pontsagainst', 'pointsfor', 'played', 'win'}\n", + "{'lastmeeting', 'team', 'loss', 'firstplayed', 'draw', 'pointsfor', 'pointsagainst', 'played', 'win'}\n", + "{'pontsagainst'}\n", + "----------\n", + "{'owner(s)', 'number&name', 'date', 'description', 'livery'}\n", + "{'number&name', 'owner(s)', 'date', 'description', 'livery'}\n", + "{'number&name'}\n", + "----------\n", + "{'wins', 'centralmurray', 'against', 'draws', 'byes', 'losses'}\n", + "{'wins', 'central_murray', 'against', 'draws', 'byes', 'losses'}\n", + "{'centralmurray'}\n", + "----------\n", + "{'ont', 'ns', 'normaltotal', 'ยง26total', 'nb', 'dateenacted', 'que'}\n", + "{'ont', 'ns', 'normaltotal', 'ย§26total', 'nb', 'dateenacted', 'que'}\n", + "{'ยง26total'}\n", + "----------\n", + "{'fourthplace', 'fifthplace', 'sixthplace', 'host', 'winner', 'thirdplace', 'year', 'runner-up', 'series'}\n", + "{'third_place', 'host', 'winner', 'year', 'series', 'fourth_place', 'sixth_place', 'fifth_place', 'runner_up'}\n", + "{'fourthplace', 'sixthplace', 'fifthplace', 'thirdplace', 'runner-up'}\n", + "----------\n", + "{'season', 'seasonfinale', 'network', 'ratingratingisthepercentageofallhouseholdstunedintotheprogram', 'viewersinmillions', 'timeslot', 'rankrankdenotestherelativepositionofthetelevisionserieswithrespecttootherprimetimeshowsonthecw,fox,nbc,cbs,andabc', 'seasonpremiere', 'tvseason'}\n", + "{'season', 'seasonfinale', 'network', 'viewersinmillions', 'timeslot', 'seasonpremiere', 'rating', 'rank', 'tvseason'}\n", + "{'ratingratingisthepercentageofallhouseholdstunedintotheprogram', 'rankrankdenotestherelativepositionofthetelevisionserieswithrespecttootherprimetimeshowsonthecw,fox,nbc,cbs,andabc'}\n", + "----------\n", + "{'episodenoepisodenoreferstotheepisodesnumberintheoverallseries,whereasseriesnoreferstotheepisodesnumberinthisparticularseries', 'director', 'episode', 'writer(s)', 'originalairdate', 'seriesno'}\n", + "{'director', 'episodeno', 'episode', 'writer(s)', 'originalairdate', 'seriesno'}\n", + "{'episodenoepisodenoreferstotheepisodesnumberintheoverallseries,whereasseriesnoreferstotheepisodesnumberinthisparticularseries'}\n", + "----------\n", + "{'episodenoepisodenoreferstotheepisodesnumberintheoverallseries,whereasseriesnoreferstotheepisodesnumberinthisparticularseries', 'director', 'episode', 'originalairdate', 'writer', 'seriesno'}\n", + "{'director', 'episodeno', 'episode', 'originalairdate', 'writer', 'seriesno'}\n", + "{'episodenoepisodenoreferstotheepisodesnumberintheoverallseries,whereasseriesnoreferstotheepisodesnumberinthisparticularseries'}\n", + "----------\n", + "{'laps', 'team', 'classpos', 'co-drivers', 'year', 'class', 'pos'}\n", + "{'laps', 'class-pos', 'team', 'co-drivers', 'year', 'class', 'pos'}\n", + "{'classpos'}\n", + "----------\n", + "{'arqb', 'pol', 'transmitter', 'bbcb', 'ag', 'bbca', 'arqa', 'd3&4'}\n", + "{'arqb', 'pol', 'd3&4', 'transmitter', 'bbcb', 'ag', 'bbca', 'arqa'}\n", + "{'d3&4'}\n", + "----------\n", + "{'matchtype', 'opponenent', 'location', 'date', 'result'}\n", + "{'matchtype', 'location', 'date', 'opponent', 'result'}\n", + "{'opponenent'}\n", + "----------\n", + "{'season', 'driver', 'team', 'governingbody', 'tuner', 'co-driver'}\n", + "{'season', 'driver', 'team', 'tuner', 'governing_body', 'co_driver'}\n", + "{'co-driver', 'governingbody'}\n", + "----------\n", + "{'player', 'hometown', 'college', 'height', 'school', 'nbadraft'}\n", + "{'player', 'nba_draft', 'hometown', 'college', 'height', 'school'}\n", + "{'nbadraft'}\n", + "----------\n", + "{'owner(s)', 'number&name', 'date', 'description', 'livery'}\n", + "{'number&name', 'owner(s)', 'date', 'description', 'livery'}\n", + "{'number&name'}\n", + "----------\n", + "{'playername', 'round', 'college', 'choice', 'height', 'position', 'weight'}\n", + "{'playername', 'round', 'choice', 'height', 'position', 'weight'}\n", + "{'college'}\n", + "----------\n", + "{'electricanorthtransylvania', 'satumare', 'zalau', 'bistrita', 'cluj', 'baiamare', 'installation', 'oradea'}\n", + "{'satumare', 'zalau', 'bistrita', 'cluj', 'baiamare', 'electricarnorthtransylvania', 'installation', 'oradea'}\n", + "{'electricanorthtransylvania'}\n", + "----------\n", + "{'ihsaaclass', 'enrollment08-09', 'yearjoined', 'county', 'previouscounference', 'school', 'city', 'teamname'}\n", + "{'ihsaaclass', 'enrollment08-09', 'yearjoined', 'county', 'school', 'city', 'previousconference', 'teamname'}\n", + "{'previouscounference'}\n" + ] + } + ], + "source": [ + "for i,data in df.iterrows():\n", + " ddd = pd.read_csv(StringIO(data['table_text']), delimiter='#')\n", + " col = set([re.sub(' ','',k).lower() for k in ddd.columns])\n", + " defgen_key = set([re.sub(' ','',k).lower() for k in json.loads(data['column_defenition_json']).keys()])\n", + " \n", + " if len(col-defgen_key)>0:\n", + " print('-'*10)\n", + " print(col)\n", + " print(defgen_key)\n", + " print(col-defgen_key)" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "32c31644-8bd9-4e4a-9983-f9a0813b1973", + "metadata": {}, + "outputs": [], + "source": [ + "df.to_parquet(\"df_pantabfact_train.parquet.gzip\", compression=\"gzip\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "bdf16a72-35ac-4108-91b8-428c6ce3f494", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          table_csvcolumn_defenition_json
          02-1570274-4.html.csv{\"tournament\": \"The proper name of a golf tour...
          12-1145226-5.html.csv{\"player\": \"The name of a rugby player on the ...
          21-29063233-1.html.csv{\"no overall\": \"The sequential episode number ...
          32-17200019-10.html.csv{\"player\": \"The proper name of a football play...
          42-1127788-3.html.csv{\"goal\": \"Quantitative indicator representing ...
          .........
          16901-18365784-3.html.csv{\"departure\": \"Scheduled departure time of the...
          16911-28819393-1.html.csv{\"year\": \"The election year, presented as a fo...
          16921-22355-5.html.csv{\"rank\": \"The athlete's competitive position i...
          16931-182499-1.html.csv{\"enzyme\": \"Biochemical name of the enzyme, fo...
          16942-14418812-1.html.csv{\"week\": \"The sequential week number in the se...
          \n", + "

          1695 rows × 2 columns

          \n", + "
          " + ], + "text/plain": [ + " table_csv \\\n", + "0 2-1570274-4.html.csv \n", + "1 2-1145226-5.html.csv \n", + "2 1-29063233-1.html.csv \n", + "3 2-17200019-10.html.csv \n", + "4 2-1127788-3.html.csv \n", + "... ... \n", + "1690 1-18365784-3.html.csv \n", + "1691 1-28819393-1.html.csv \n", + "1692 1-22355-5.html.csv \n", + "1693 1-182499-1.html.csv \n", + "1694 2-14418812-1.html.csv \n", + "\n", + " column_defenition_json \n", + "0 {\"tournament\": \"The proper name of a golf tour... \n", + "1 {\"player\": \"The name of a rugby player on the ... \n", + "2 {\"no overall\": \"The sequential episode number ... \n", + "3 {\"player\": \"The proper name of a football play... \n", + "4 {\"goal\": \"Quantitative indicator representing ... \n", + "... ... \n", + "1690 {\"departure\": \"Scheduled departure time of the... \n", + "1691 {\"year\": \"The election year, presented as a fo... \n", + "1692 {\"rank\": \"The athlete's competitive position i... \n", + "1693 {\"enzyme\": \"Biochemical name of the enzyme, fo... \n", + "1694 {\"week\": \"The sequential week number in the se... \n", + "\n", + "[1695 rows x 2 columns]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "dd = pd.read_parquet(\"df.parquet.gzip\")\n", + "dd" + ] + }, + { + "cell_type": "markdown", + "id": "b4c4c438-ea2d-4044-b6a9-9efac4a597f5", + "metadata": {}, + "source": [ + "# Coder tests" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ccd8fb55-94be-4b87-9e83-edec5f4325a9", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from datasets import load_from_disk\n", + "from openai import AzureOpenAI\n" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "6adf47a7-4b6b-4513-a7dc-561208e3825b", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os\n", + "\n", + "# Добавляем корневую директорию проекта в sys.path\n", + "sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests')))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b60f3ad1-64be-4707-b605-26205badfd56", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'statement', 'label', 'table_caption', 'table_text', 'pandas_code', 'pandas_eval', 'nlsep_query', 'semtab_query'],\n", + " num_rows: 88116\n", + "})" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset = load_from_disk('none_filtered_new_dataset/')\n", + "dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "a817e960-131b-48c1-bd77-8243d1148668", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'dataset' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[42], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdataset\u001b[49m[\u001b[38;5;241m9\u001b[39m]\n", + "\u001b[0;31mNameError\u001b[0m: name 'dataset' is not defined" + ] + } + ], + "source": [ + "dataset[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "bf7d5707-8b9d-493f-9859-b22df71c0f1d", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "system_prompt = '''You are a Python expert specializing in pandas. Your task is to translate the\n", + "given natural language statement into a single-line pandas expression. This\n", + "expression must be valid and executable to verify the truth of the statement\n", + "using the provided table. Consider the following:\n", + "1. The table is represented as a pandas DataFrame named df.\n", + "2. Do not include explanations, comments, or multiline outputs.\n", + "3. Ensure the output is concise, correct, and when run outputs either True or\n", + "False, and strictly in the following Json Format with a single key \"PANDA\":\n", + "\"PANDA\": \"\"\n", + "'''\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "730a7ee1-017c-4e1f-ba34-884619081578", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "You are a Python expert specializing in pandas. Your task is to translate the\n", + "given natural language statement into a single-line pandas expression. This\n", + "expression must be valid and executable to verify the truth of the statement\n", + "using the provided table. Consider the following:\n", + "1. The table is represented as a pandas DataFrame named df.\n", + "2. Do not include explanations, comments, or multiline outputs.\n", + "3. Ensure the output is concise, correct, and when run outputs either True or\n", + "False, and strictly in the following Json Format with a single key \"PANDA\":\n", + "\"PANDA\": \"\"\n", + "\n" + ] + } + ], + "source": [ + "print(system_prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "dbe75ed1-b719-4b90-b58f-72a36618ff39", + "metadata": {}, + "outputs": [], + "source": [ + "from openai import OpenAI" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "8c84608d-aafd-4151-9dad-d3b2bac1370b", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "ename": "APIConnectionError", + "evalue": "Connection error.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mConnectError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpx/_transports/default.py:101\u001b[0m, in \u001b[0;36mmap_httpcore_exceptions\u001b[0;34m()\u001b[0m\n\u001b[1;32m 100\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 101\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m\n\u001b[1;32m 102\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpx/_transports/default.py:250\u001b[0m, in \u001b[0;36mHTTPTransport.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m map_httpcore_exceptions():\n\u001b[0;32m--> 250\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_pool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mreq\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 252\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(resp\u001b[38;5;241m.\u001b[39mstream, typing\u001b[38;5;241m.\u001b[39mIterable)\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpcore/_sync/connection_pool.py:256\u001b[0m, in \u001b[0;36mConnectionPool.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_close_connections(closing)\n\u001b[0;32m--> 256\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 258\u001b[0m \u001b[38;5;66;03m# Return the response. Note that in this case we still have to manage\u001b[39;00m\n\u001b[1;32m 259\u001b[0m \u001b[38;5;66;03m# the point at which the response is closed.\u001b[39;00m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpcore/_sync/connection_pool.py:236\u001b[0m, in \u001b[0;36mConnectionPool.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 235\u001b[0m \u001b[38;5;66;03m# Send the request on the assigned connection.\u001b[39;00m\n\u001b[0;32m--> 236\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 237\u001b[0m \u001b[43m \u001b[49m\u001b[43mpool_request\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\n\u001b[1;32m 238\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 239\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ConnectionNotAvailable:\n\u001b[1;32m 240\u001b[0m \u001b[38;5;66;03m# In some cases a connection may initially be available to\u001b[39;00m\n\u001b[1;32m 241\u001b[0m \u001b[38;5;66;03m# handle a request, but then become unavailable.\u001b[39;00m\n\u001b[1;32m 242\u001b[0m \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[1;32m 243\u001b[0m \u001b[38;5;66;03m# In this case we clear the connection and try again.\u001b[39;00m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpcore/_sync/connection.py:101\u001b[0m, in \u001b[0;36mHTTPConnection.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 100\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connect_failed \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m--> 101\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\n\u001b[1;32m 103\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connection\u001b[38;5;241m.\u001b[39mhandle_request(request)\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpcore/_sync/connection.py:78\u001b[0m, in \u001b[0;36mHTTPConnection.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connection \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 78\u001b[0m stream \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_connect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 80\u001b[0m ssl_object \u001b[38;5;241m=\u001b[39m stream\u001b[38;5;241m.\u001b[39mget_extra_info(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mssl_object\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpcore/_sync/connection.py:124\u001b[0m, in \u001b[0;36mHTTPConnection._connect\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 123\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m Trace(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mconnect_tcp\u001b[39m\u001b[38;5;124m\"\u001b[39m, logger, request, kwargs) \u001b[38;5;28;01mas\u001b[39;00m trace:\n\u001b[0;32m--> 124\u001b[0m stream \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_network_backend\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect_tcp\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 125\u001b[0m trace\u001b[38;5;241m.\u001b[39mreturn_value \u001b[38;5;241m=\u001b[39m stream\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpcore/_backends/sync.py:207\u001b[0m, in \u001b[0;36mSyncBackend.connect_tcp\u001b[0;34m(self, host, port, timeout, local_address, socket_options)\u001b[0m\n\u001b[1;32m 202\u001b[0m exc_map: ExceptionMapping \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 203\u001b[0m socket\u001b[38;5;241m.\u001b[39mtimeout: ConnectTimeout,\n\u001b[1;32m 204\u001b[0m \u001b[38;5;167;01mOSError\u001b[39;00m: ConnectError,\n\u001b[1;32m 205\u001b[0m }\n\u001b[0;32m--> 207\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m map_exceptions(exc_map):\n\u001b[1;32m 208\u001b[0m sock \u001b[38;5;241m=\u001b[39m socket\u001b[38;5;241m.\u001b[39mcreate_connection(\n\u001b[1;32m 209\u001b[0m address,\n\u001b[1;32m 210\u001b[0m timeout,\n\u001b[1;32m 211\u001b[0m source_address\u001b[38;5;241m=\u001b[39msource_address,\n\u001b[1;32m 212\u001b[0m )\n", + "File \u001b[0;32m/usr/lib/python3.10/contextlib.py:153\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__exit__\u001b[0;34m(self, typ, value, traceback)\u001b[0m\n\u001b[1;32m 152\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 153\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mthrow\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtyp\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtraceback\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 154\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[1;32m 155\u001b[0m \u001b[38;5;66;03m# Suppress StopIteration *unless* it's the same exception that\u001b[39;00m\n\u001b[1;32m 156\u001b[0m \u001b[38;5;66;03m# was passed to throw(). This prevents a StopIteration\u001b[39;00m\n\u001b[1;32m 157\u001b[0m \u001b[38;5;66;03m# raised inside the \"with\" statement from being suppressed.\u001b[39;00m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpcore/_exceptions.py:14\u001b[0m, in \u001b[0;36mmap_exceptions\u001b[0;34m(map)\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(exc, from_exc):\n\u001b[0;32m---> 14\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m to_exc(exc) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mexc\u001b[39;00m\n\u001b[1;32m 15\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n", + "\u001b[0;31mConnectError\u001b[0m: [Errno 111] Connection refused", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mConnectError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/openai/_base_client.py:982\u001b[0m, in \u001b[0;36mSyncAPIClient.request\u001b[0;34m(self, cast_to, options, stream, stream_cls)\u001b[0m\n\u001b[1;32m 981\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 982\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_client\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 983\u001b[0m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 984\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_should_stream_response_body\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 985\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 986\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 987\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m httpx\u001b[38;5;241m.\u001b[39mTimeoutException \u001b[38;5;28;01mas\u001b[39;00m err:\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpx/_client.py:914\u001b[0m, in \u001b[0;36mClient.send\u001b[0;34m(self, request, stream, auth, follow_redirects)\u001b[0m\n\u001b[1;32m 912\u001b[0m auth \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_build_request_auth(request, auth)\n\u001b[0;32m--> 914\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_send_handling_auth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 915\u001b[0m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 916\u001b[0m \u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 917\u001b[0m \u001b[43m \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 918\u001b[0m \u001b[43m \u001b[49m\u001b[43mhistory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 919\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 920\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpx/_client.py:942\u001b[0m, in \u001b[0;36mClient._send_handling_auth\u001b[0;34m(self, request, auth, follow_redirects, history)\u001b[0m\n\u001b[1;32m 941\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 942\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_send_handling_redirects\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 943\u001b[0m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 944\u001b[0m \u001b[43m \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 945\u001b[0m \u001b[43m \u001b[49m\u001b[43mhistory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhistory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 946\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 947\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpx/_client.py:979\u001b[0m, in \u001b[0;36mClient._send_handling_redirects\u001b[0;34m(self, request, follow_redirects, history)\u001b[0m\n\u001b[1;32m 977\u001b[0m hook(request)\n\u001b[0;32m--> 979\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_send_single_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 980\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpx/_client.py:1014\u001b[0m, in \u001b[0;36mClient._send_single_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 1013\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m request_context(request\u001b[38;5;241m=\u001b[39mrequest):\n\u001b[0;32m-> 1014\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mtransport\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1016\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(response\u001b[38;5;241m.\u001b[39mstream, SyncByteStream)\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpx/_transports/default.py:249\u001b[0m, in \u001b[0;36mHTTPTransport.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 237\u001b[0m req \u001b[38;5;241m=\u001b[39m httpcore\u001b[38;5;241m.\u001b[39mRequest(\n\u001b[1;32m 238\u001b[0m method\u001b[38;5;241m=\u001b[39mrequest\u001b[38;5;241m.\u001b[39mmethod,\n\u001b[1;32m 239\u001b[0m url\u001b[38;5;241m=\u001b[39mhttpcore\u001b[38;5;241m.\u001b[39mURL(\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 247\u001b[0m extensions\u001b[38;5;241m=\u001b[39mrequest\u001b[38;5;241m.\u001b[39mextensions,\n\u001b[1;32m 248\u001b[0m )\n\u001b[0;32m--> 249\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m map_httpcore_exceptions():\n\u001b[1;32m 250\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pool\u001b[38;5;241m.\u001b[39mhandle_request(req)\n", + "File \u001b[0;32m/usr/lib/python3.10/contextlib.py:153\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__exit__\u001b[0;34m(self, typ, value, traceback)\u001b[0m\n\u001b[1;32m 152\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 153\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mthrow\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtyp\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtraceback\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 154\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[1;32m 155\u001b[0m \u001b[38;5;66;03m# Suppress StopIteration *unless* it's the same exception that\u001b[39;00m\n\u001b[1;32m 156\u001b[0m \u001b[38;5;66;03m# was passed to throw(). This prevents a StopIteration\u001b[39;00m\n\u001b[1;32m 157\u001b[0m \u001b[38;5;66;03m# raised inside the \"with\" statement from being suppressed.\u001b[39;00m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/httpx/_transports/default.py:118\u001b[0m, in \u001b[0;36mmap_httpcore_exceptions\u001b[0;34m()\u001b[0m\n\u001b[1;32m 117\u001b[0m message \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mstr\u001b[39m(exc)\n\u001b[0;32m--> 118\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m mapped_exc(message) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mexc\u001b[39;00m\n", + "\u001b[0;31mConnectError\u001b[0m: [Errno 111] Connection refused", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mAPIConnectionError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[46], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m client \u001b[38;5;241m=\u001b[39m OpenAI(base_url\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttp://127.0.0.1:8800/v1\u001b[39m\u001b[38;5;124m\"\u001b[39m, api_key\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdummy\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m \u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmodels\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlist\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/openai/resources/models.py:91\u001b[0m, in \u001b[0;36mModels.list\u001b[0;34m(self, extra_headers, extra_query, extra_body, timeout)\u001b[0m\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mlist\u001b[39m(\n\u001b[1;32m 78\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 79\u001b[0m \u001b[38;5;241m*\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 85\u001b[0m timeout: \u001b[38;5;28mfloat\u001b[39m \u001b[38;5;241m|\u001b[39m httpx\u001b[38;5;241m.\u001b[39mTimeout \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m|\u001b[39m NotGiven \u001b[38;5;241m=\u001b[39m not_given,\n\u001b[1;32m 86\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m SyncPage[Model]:\n\u001b[1;32m 87\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 88\u001b[0m \u001b[38;5;124;03m Lists the currently available models, and provides basic information about each\u001b[39;00m\n\u001b[1;32m 89\u001b[0m \u001b[38;5;124;03m one such as the owner and availability.\u001b[39;00m\n\u001b[1;32m 90\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m---> 91\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_api_list\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 92\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/models\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 93\u001b[0m \u001b[43m \u001b[49m\u001b[43mpage\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mSyncPage\u001b[49m\u001b[43m[\u001b[49m\u001b[43mModel\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 94\u001b[0m \u001b[43m \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmake_request_options\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 95\u001b[0m \u001b[43m \u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_query\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_query\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_body\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_body\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\n\u001b[1;32m 96\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 97\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mModel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 98\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/openai/_base_client.py:1308\u001b[0m, in \u001b[0;36mSyncAPIClient.get_api_list\u001b[0;34m(self, path, model, page, body, options, method)\u001b[0m\n\u001b[1;32m 1297\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mget_api_list\u001b[39m(\n\u001b[1;32m 1298\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1299\u001b[0m path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1305\u001b[0m method: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mget\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 1306\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m SyncPageT:\n\u001b[1;32m 1307\u001b[0m opts \u001b[38;5;241m=\u001b[39m FinalRequestOptions\u001b[38;5;241m.\u001b[39mconstruct(method\u001b[38;5;241m=\u001b[39mmethod, url\u001b[38;5;241m=\u001b[39mpath, json_data\u001b[38;5;241m=\u001b[39mbody, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions)\n\u001b[0;32m-> 1308\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_request_api_list\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpage\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopts\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/openai/_base_client.py:1159\u001b[0m, in \u001b[0;36mSyncAPIClient._request_api_list\u001b[0;34m(self, model, page, options)\u001b[0m\n\u001b[1;32m 1155\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m resp\n\u001b[1;32m 1157\u001b[0m options\u001b[38;5;241m.\u001b[39mpost_parser \u001b[38;5;241m=\u001b[39m _parser\n\u001b[0;32m-> 1159\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpage\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/openai/_base_client.py:1014\u001b[0m, in \u001b[0;36mSyncAPIClient.request\u001b[0;34m(self, cast_to, options, stream, stream_cls)\u001b[0m\n\u001b[1;32m 1011\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[1;32m 1013\u001b[0m log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRaising connection error\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 1014\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m APIConnectionError(request\u001b[38;5;241m=\u001b[39mrequest) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 1016\u001b[0m log\u001b[38;5;241m.\u001b[39mdebug(\n\u001b[1;32m 1017\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHTTP Response: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%i\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 1018\u001b[0m request\u001b[38;5;241m.\u001b[39mmethod,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1022\u001b[0m response\u001b[38;5;241m.\u001b[39mheaders,\n\u001b[1;32m 1023\u001b[0m )\n\u001b[1;32m 1024\u001b[0m log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrequest_id: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m, response\u001b[38;5;241m.\u001b[39mheaders\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx-request-id\u001b[39m\u001b[38;5;124m\"\u001b[39m))\n", + "\u001b[0;31mAPIConnectionError\u001b[0m: Connection error." + ] + } + ], + "source": [ + "client = OpenAI(base_url=\"http://127.0.0.1:8800/v1\", api_key=\"dummy\")\n", + "client.models.list()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "9e1c03a2-a140-409c-af6a-1d9f628da2d9", + "metadata": {}, + "outputs": [], + "source": [ + "from openai import OpenAI\n", + "def send_message(message,max_tokens=2000,top_p=0.9,temperature=0.5,server_url=\"http://127.0.0.1:8800/v1\",api_key=\"dummy\",\n", + " model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',system_prompt='', stop = [\"Observation:\",\"\\n\\n\\n\\n\",\"\\n \\n \\n\"]):\n", + " client = OpenAI(base_url=server_url, api_key=api_key)\n", + " model_input = [\n", + " { 'role': 'system', 'content': system_prompt},\n", + " { 'role': 'user', 'content': message}\n", + " ]\n", + " try:\n", + " print(f\"Generating content with model: {model_name}\",)\n", + " \n", + " response = client.chat.completions.create(\n", + " model=model_name,\n", + " messages=model_input,\n", + " temperature=temperature,\n", + " max_tokens=max_tokens,\n", + " top_p=top_p,\n", + " stop = stop\n", + " )\n", + " \n", + " return True, response.choices[0].message.content\n", + "\n", + " except Exception as e:\n", + " print(\"Failed to call LLM: \" + str(e))\n", + " time.sleep(6)\n", + " if hasattr(e, 'response'):\n", + " error_info = e.response.json() \n", + " code_value = error_info['error']['code']\n", + " else:\n", + " code_value = \"context_length_exceeded\"\n", + " print(\"Retrying ...\")\n", + " return False, None" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2465bb75-3e3a-4236-ba60-f8a9db70e9d8", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "import pandas as pd\n", + "from io import StringIO\n", + "from tqdm import tqdm" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c8a5c61e-f3b6-4e62-ba85-7324422d0d31", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "count = 0\n", + "corrects_sep = 0\n", + "corrects_sem = 0\n", + "for entry in tqdm(dataset):\n", + " total += 1\n", + " df = pd.read_csv(StringIO(entry['table_text']), delimiter='#')\n", + " success,response_sep = send_message(f'{entry[\"statement\"]} {entry[\"nlsep_query\"]}',\n", + " system_prompt=system_prompt)\n", + " if success:\n", + " pandas_eval = str(bool(eval(response_sep)))\n", + " if str(bool(entry['label'])) == str(pandas_eval):\n", + " corrects_sep += 1\n", + " else:\n", + " print(response_sep)\n", + "\n", + " success,response_sem = send_message(f'{entry[\"statement\"]} {entry[\"semtab_query\"]}',\n", + " system_prompt=system_prompt)\n", + " if success:\n", + " pandas_eval = str(bool(eval(response_sem)))\n", + " if str(bool(entry['label'])) == str(pandas_eval):\n", + " response_sem += 1\n", + " else:\n", + " print(corrects_sem)\n", + "\n", + "print(corrects, total, corrects / total)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "620fb46c-42bb-4e30-b273-5a5621cd0dcb", + "metadata": {}, + "outputs": [], + "source": [ + "import re\n", + "\n", + "def parse_panda_code(input_string):\n", + " \"\"\"\n", + " Парсит строку и извлекает код, который находится внутри конструкции \"PANDA\": <код>\n", + " Поддерживает различные форматы: JSON, простой текст, Markdown\n", + " \n", + " Args:\n", + " input_string (str): Входная строка для парсинга\n", + " \n", + " Returns:\n", + " str: Извлеченный код или пустая строка, если код не найден\n", + " \"\"\"\n", + " # Сначала попробуем найти JSON объект с PANDA\n", + " json_pattern = r'\\{[^{}]*PANDA\":\\s*(.+?)(?:\\n|$)?\\}'\n", + " json_match = re.search(json_pattern, input_string, re.DOTALL)\n", + " code = None\n", + " pattern = r'\"PANDA\":\\s*(.+?)(?:\\n|$)'\n", + " if json_match:\n", + " code = json_match.group(1).strip()\n", + " else:\n", + " match = re.search(pattern, input_string, re.DOTALL)\n", + " if match:\n", + " # Извлекаем код и убираем лишние пробелы по краям\n", + " code = match.group(1).strip()\n", + " # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON\n", + "\n", + " # Если JSON не найден или не распарсился, используем старый метод\n", + " # Паттерн для поиска кода после \"PANDA\": \n", + " # Ищет \"PANDA\": за которым следует пробел, затем код до конца строки или до следующего символа\n", + " if code != None:\n", + " # Убираем возможные кавычки вокруг кода\n", + " if code.startswith('\"') and code.endswith('\"'):\n", + " code = code[1:-1]\n", + " elif code.startswith(\"'\") and code.endswith(\"'\"):\n", + " code = code[1:-1]\n", + " \n", + " return code\n", + " \n", + " return \"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "efdca526-99b9-4e16-bbde-6b1efc5514a8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Here is a single-line pandas expression that checks if Haroldo is mentioned as a Brazil scorer for two different games:\n", + "\n", + "```json\n", + "\"PANDA\": \"df['brazil scorers'].apply(lambda x: 'haroldo' in x.split(', ')).sum() >= 2\"\n", + "```\n", + "\n", + "This expression splits the 'brazil scorers' column into a list of scorers for each game, checks if 'haroldo' is in the list, and then sums up the True values to see if he is mentioned as a scorer for at least two games.\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + ] + } + ], + "source": [ + "corrects_sep = 0\n", + "\n", + "df = pd.read_csv(StringIO(dataset[0]['table_text']), delimiter='#')\n", + "success,response_sep = send_message(f'{dataset[0][\"statement\"]} {dataset[0][\"nlsep_query\"]}',\n", + " system_prompt=system_prompt)\n", + "if success:\n", + " pandas_eval = str(bool(eval(parse_panda_code(response_sep))))\n", + " if str(bool(dataset[0]['label'])) == str(pandas_eval):\n", + " corrects_sep += 1\n", + " else:\n", + " print(response_sep)\n", + "\n", + "success,response_sem = send_message(f'{dataset[0][\"statement\"]} {dataset[0][\"semtab_query\"]}',\n", + " system_prompt=system_prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "f118aad5-82e2-4fc2-ae51-de2c86a29a9b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "```json\n", + "\"PANDA\": \"df['brazil scorers'].str.contains('haroldo', na=False).sum() > 1\"\n", + "```\n", + "This code checks if 'haroldo' is mentioned as a Brazil scorer for more than 1 game. It uses the str.contains method to check if 'haroldo' is present in the 'brazil scorers' column and then sums up the number of True values, indicating how many games 'haroldo' scored for Brazil.\n", + "\n" + ] + } + ], + "source": [ + "print(response_sep)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "a32f7bcc-3a89-4aeb-9475-319bb6bb5bf4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset[0]['label']" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "0586c6e6-6dc8-4f9c-a06b-75da101ab92f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'True'" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "str(bool(eval(parse_panda_code(response_sep))))" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "98ade5a1-b7ca-47b8-86ad-57c4ce108f41", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"df['brazil scorers'].str.contains('haroldo', na=False).sum() > 1\"" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "parse_panda_code(response_sep)" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "1d2be3be-9d74-4492-9b80-27253c56c4c9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.False_" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['brazil scorers'].apply(lambda x: 'haroldo' in x.split(', ')).sum() >= 2" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "ac5ce16e-9647-4c24-aa90-8b6214e43950", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "```json\n", + "\"PANDA\": \"df['brazil scorers'].apply(lambda x: 'haroldo' in x.split(',')).sum() > 1\"\n", + "```\n", + "This code checks if 'haroldo' is mentioned as a scorer for more than one game in the 'brazil scorers' column of the DataFrame.\n", + "\n" + ] + } + ], + "source": [ + "print(response_sem)" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "856f16fe-9337-4aa4-acdb-927131a15e74", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n" + ] + } + ], + "source": [ + "corrects_sem = 0\n", + "if success:\n", + " pandas_eval = str(bool(eval(parse_panda_code(response_sem))))\n", + " if str(bool(dataset[0]['label'])) == str(parse_panda_code(pandas_eval)):\n", + " corrects_sem += 1\n", + " else:\n", + " print(corrects_sem)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "1ac4255a-9303-4b33-a7c6-73bab5846f85", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"df['brazil scorers'].str.contains('haroldo', na=False).sum() > 1\"" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "parse_panda_code(response_sem)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "7be4007e-50f2-4b3e-95da-646d82fd145f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Here is the single-line pandas expression based on the given statement:\\n\\n```json\\n{\"PANDA\": \"df[\\'brazil scorers\\'].str.contains(\\'haroldo\\', na=False).sum() > 1\"}\\n```\\n\\nThis expression checks if \\'haroldo\\' is mentioned as a Brazil scorer for more than 1 game in the \\'brazil scorers\\' column of the DataFrame df.\\n'" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "response_sem" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "6f513eeb-8a61-4994-8e97-fb9fd174d2a4", + "metadata": {}, + "outputs": [], + "source": [ + "pattern = r'\"PANDA\":\\s*(.+?)(?:\\n|$)'\n", + " \n", + " # Используем поиск с флагом re.DOTALL для работы с многострочным кодом\n", + "match = re.search(pattern, '''Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Here is a Python pandas code snippet that checks if Haroldo is mentioned as a Brazil scorer for more than one game:\n", + "```json\n", + "\"PANDA\": \"df['brazil scorers'].str.contains('Haroldo', na=False).sum() > 1\"\n", + "```\n", + "This code uses the pandas `str.contains` method to check if 'Haroldo' is in the 'brazil scorers' column. The `na=False` parameter ensures that NaN values are not considered as matches. The `sum()` method is then used to count the number of True values returned by the `contains` method, which corresponds to the number of times 'Haroldo' is mentioned as a Brazil scorer. The result is checked if it's greater than 1.''',\n", + " re.DOTALL)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "93406b43-2aca-4032-981a-45694798cb58", + "metadata": {}, + "outputs": [], + "source": [ + "code = match.group(1).strip()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "1cc3b8b0-cf12-439f-8f3f-d8e6b39cc13d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'\"df[\\'brazil scorers\\'].str.contains(\\'Haroldo\\', na=False).sum() > 1\"'" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "code" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "ad438ab7-8c4a-4d5b-ac87-321e210c5c69", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'\"PANDA\": \"df[\\'brazil scorers\\'].str.contains(\\'Haroldo\\', na=False).sum() > 1\"\\n'" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "match.group()" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "4d9a0e32-2cc5-4bb6-9cae-f60c702da4f1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bool(eval(parse_panda_code(response_sem)))" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "b2a66aa7-0c14-487d-b47b-9206ee66ce41", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bool(dataset[0]['label'])" + ] + }, + { + "cell_type": "code", + "execution_count": 167, + "id": "feca60af-e739-4114-a5bc-9a8be7b6088a", + "metadata": {}, + "outputs": [], + "source": [ + "from datasets import load_from_disk\n", + "from openai import OpenAI\n", + "import sys\n", + "import os\n", + "import json\n", + "import pandas as pd\n", + "from io import StringIO\n", + "from tqdm import tqdm\n", + "import re\n", + "# Добавляем корневую директорию проекта в sys.path\n", + "sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests')))\n", + "\n", + "system_prompt = '''You are a Python expert specializing in pandas. Your task is to translate the\n", + "given natural language statement into a single-line pandas expression. This\n", + "expression must be valid and executable to verify the truth of the statement\n", + "using the provided table. Consider the following:\n", + "1. The table is represented as a pandas DataFrame named df.\n", + "2. Do not include explanations, comments, or multiline outputs.\n", + "3. Ensure the output is concise, correct, and when run outputs either True or\n", + "False, and strictly in the following Json Format with a single key \"PANDA\":\n", + "\"PANDA\": \"\"\n", + "'''\n", + "system_correcting_prompt = '''\n", + "You are a Python expert specializing in pandas. Your task is to correct a pandas code that translates \n", + "a given natural language statement into a pandas\n", + "expression. The input data, code, along with the specific error it contains, is provided.\n", + "Your corrected pandas_code must be valid and executable by running the code\n", + "snippet str(bool(eval(pandas_code))) ensuring it accurately evaluates the truth\n", + "of the statement using the provided table with no errors.\n", + "Make sure the pandas_code is of type boolean. Consider the following:\n", + "1. The table is represented as a pandas DataFrame named df.\n", + "2. Do not include explanations, comments, or multiline outputs.\n", + "3. Ensure the output is concise, correct, and when run outputs either True or\n", + "False, and strictly in the following Json Format with a single key \"CORRECT PANDA\": \n", + "\"CORRECT PANDA\": \"\"\n", + "'''\n", + "\n", + "\n", + "def send_message(message,max_tokens=500,top_p=0.9,temperature=0.5,server_url=\"http://127.0.0.1:8800/v1\",api_key=\"dummy\",\n", + " model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',system_prompt='', stop = [\"Observation:\",\"\\n\\n\\n\\n\",\"\\n \\n \\n\"]):\n", + " client = OpenAI(base_url=server_url, api_key=api_key)\n", + " model_input = [\n", + " { 'role': 'system', 'content': system_prompt},\n", + " { 'role': 'user', 'content': message}\n", + " ]\n", + " try:\n", + " print(f\"Generating content with model: {model_name}\",)\n", + " \n", + " response = client.chat.completions.create(\n", + " model=model_name,\n", + " messages=model_input,\n", + " temperature=temperature,\n", + " max_tokens=max_tokens,\n", + " top_p=top_p,\n", + " stop = stop\n", + " )\n", + " \n", + " return True, response.choices[0].message.content\n", + "\n", + " except Exception as e:\n", + " print(\"Failed to call LLM: \" + str(e))\n", + " time.sleep(6)\n", + " if hasattr(e, 'response'):\n", + " error_info = e.response.json() \n", + " code_value = error_info['error']['code']\n", + " else:\n", + " code_value = \"context_length_exceeded\"\n", + " print(\"Retrying ...\")\n", + " return False, None\n", + "\n", + "def parse_panda_code(input_string):\n", + " \"\"\"\n", + " Парсит строку и извлекает код, который находится внутри конструкции \"PANDA\": <код>\n", + " Поддерживает различные форматы: JSON, простой текст, Markdown\n", + " \n", + " Args:\n", + " input_string (str): Входная строка для парсинга\n", + " \n", + " Returns:\n", + " str: Извлеченный код или пустая строка, если код не найден\n", + " \"\"\"\n", + " # Сначала попробуем найти JSON объект с PANDA\n", + " json_pattern = r'\\{[^{}]*PANDA\":\\s*(.+?)(?:\\n|$)?\\}'\n", + " json_match = re.search(json_pattern, input_string, re.DOTALL)\n", + " code = None\n", + " pattern = r'\"PANDA\":\\s*(.+?)(?:\\n|$)'\n", + " if json_match:\n", + " code = json_match.group(1).strip()\n", + " else:\n", + " match = re.search(pattern, input_string, re.DOTALL)\n", + " if match:\n", + " # Извлекаем код и убираем лишние пробелы по краям\n", + " code = match.group(1).strip()\n", + " # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON\n", + "\n", + " # Если JSON не найден или не распарсился, используем старый метод\n", + " # Паттерн для поиска кода после \"PANDA\": \n", + " # Ищет \"PANDA\": за которым следует пробел, затем код до конца строки или до следующего символа\n", + " if code != None:\n", + " # Убираем возможные кавычки вокруг кода\n", + " if code.startswith('\"') and code.endswith('\"'):\n", + " code = code[1:-1]\n", + " elif code.startswith(\"'\") and code.endswith(\"'\"):\n", + " code = code[1:-1]\n", + " \n", + " return code\n", + " \n", + " return \"\"\n", + "\n", + "def correct_code(df,input_data,code_str,error_str,iter_id=0,system_correcting_prompt='',stop= [\"Observation:\",\"\\n\\n\\n\\n\",\"\\n \\n \\n\"],\n", + " max_tokens=500,top_p=0.9,temperature=0.5,server_url=\"http://127.0.0.1:8800/v1\",api_key=\"dummy\",\n", + " model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',max_iter=3):\n", + " if iter_id, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1538\n", + "Can only use .dt accessor with datetimelike values\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 3/4257 [00:01<36:14, 1.96 examples/s] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 4/4257 [00:01<27:44, 2.56 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 6/4257 [00:02<18:35, 3.81 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 0\n", + "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1054\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 7/4257 [00:02<24:28, 2.89 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EEEERRRRRRR 789\n", + "cannot do positional indexing on RangeIndex with these indexers [nan] of type float\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 148\n", + "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 9/4257 [00:03<21:58, 3.22 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callableEEEERRRRRRR\n", + " 229\n", + "Can only compare identically-labeled Series objects" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 11/4257 [00:03<20:42, 3.42 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "EEEERRRRRRR 1390\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR " + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 12/4257 [00:04<26:34, 2.66 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "308\n", + "Can only use .dt accessor with datetimelike values\n", + "EEEERRRRRRR 625\n", + "\"['2q'] not in index\"\n", + "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "'str' object is not callable\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRREEEERRRRRRR 0\n", + "1226\n", + "'participant'Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 76\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 550\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 16/4257 [00:05<23:28, 3.01 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 17/4257 [00:05<21:34, 3.27 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 18/4257 [00:06<20:32, 3.44 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EEEERRRRRRR 1538\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 472\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 20/4257 [00:06<19:55, 3.55 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 0%| | 21/4257 [00:06<18:00, 3.92 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 148\n", + "'numpy.int64' object has no attribute 'isin'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 22/4257 [00:07<22:06, 3.19 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 24/4257 [00:07<15:22, 4.59 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EEEERRRRRRR 880\n", + "single positional indexer is out-of-bounds\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 25/4257 [00:07<20:30, 3.44 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 26/4257 [00:08<18:08, 3.89 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 28/4257 [00:08<12:40, 5.56 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1056\n", + "'score'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 30/4257 [00:08<09:59, 7.05 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'str' object is not callable\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 790\n", + "'best row 1'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 32/4257 [00:08<08:53, 7.92 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1390\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 34/4257 [00:09<11:56, 5.89 examples/s]" + ] + }, + { + "name": "stdout", "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 550\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -1592,66 +9922,276 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 0%| | 4/4257 [00:01<27:44, 2.56 examples/s]" + "Map (num_proc=16): 1%| | 35/4257 [00:09<14:14, 4.94 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 395\n", + "invalid literal for int() with base 10: 'fernandez '\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 36/4257 [00:09<14:45, 4.77 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 231\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 76\n", + "Can only compare identically-labeled Series objects\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 625\n", + "'2q | loans received , 2q'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1539\n", + "'age'\n", + "'brazil scorers'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'str' object is not callable\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 0%| | 6/4257 [00:02<18:35, 3.81 examples/s]" + "Map (num_proc=16): 1%| | 37/4257 [00:10<22:28, 3.13 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 38/4257 [00:10<22:00, 3.20 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRRGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5 \n", + "308\n", + "invalid literal for int() with base 10: ' 3 (11)'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 40/4257 [00:10<16:29, 4.26 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 42/4257 [00:11<14:19, 4.90 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EEEERRRRRRR 472\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1227\n", + "single positional indexer is out-of-bounds\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 43/4257 [00:11<20:43, 3.39 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 706\n", + "'p 2008'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 44/4257 [00:12<20:48, 3.38 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 45/4257 [00:12<19:33, 3.59 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 48/4257 [00:12<12:59, 5.40 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 50/4257 [00:12<10:10, 6.90 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%| | 52/4257 [00:12<08:18, 8.44 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 790\n", + "'best row 1'\n", + "EEEERRRRRRR 1390\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 1%|▏ | 54/4257 [00:13<11:59, 5.85 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 0\n", - "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1539\n", + "'age'\n", + "EEEERRRRRRR 76\n", + "Can only compare identically-labeled Series objects\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1054\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 0%| | 7/4257 [00:02<24:28, 2.89 examples/s]" + "Map (num_proc=16): 1%|▏ | 55/4257 [00:14<16:51, 4.15 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 789\n", - "cannot do positional indexing on RangeIndex with these indexers [nan] of type float\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 881\n", + "index 0 is out of bounds for axis 0 with size 0\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 148\n", - "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 149\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 0%| | 9/4257 [00:03<21:58, 3.22 examples/s]" + "Map (num_proc=16): 1%|▏ | 56/4257 [00:14<18:55, 3.70 examples/s]" ] }, { @@ -1659,85 +10199,52 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callableEEEERRRRRRR\n", - " 229\n", - "Can only compare identically-labeled Series objects" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 0%| | 11/4257 [00:03<20:42, 3.42 examples/s]" + "Map (num_proc=16): 1%|▏ | 57/4257 [00:14<16:56, 4.13 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "EEEERRRRRRR 1390\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR " + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 0%| | 12/4257 [00:04<26:34, 2.66 examples/s]" + "Map (num_proc=16): 1%|▏ | 58/4257 [00:14<19:37, 3.57 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "308\n", - "Can only use .dt accessor with datetimelike values\n", - "EEEERRRRRRR 625\n", - "\"['2q'] not in index\"\n", - "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "'str' object is not callable\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRREEEERRRRRRR 0\n", - "1226\n", - "'participant'Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 76\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 550\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 0%| | 16/4257 [00:05<23:28, 3.01 examples/s]" + "Map (num_proc=16): 1%|▏ | 60/4257 [00:15<13:56, 5.02 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -1747,7 +10254,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 0%| | 17/4257 [00:05<21:34, 3.27 examples/s]" + "Map (num_proc=16): 1%|▏ | 62/4257 [00:15<16:00, 4.37 examples/s]" ] }, { @@ -1755,6 +10262,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 396\n", + "Can only use .dt accessor with datetimelike values\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -1763,46 +10272,63 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 0%| | 18/4257 [00:06<20:32, 3.44 examples/s]" + "Map (num_proc=16): 1%|▏ | 63/4257 [00:15<15:20, 4.56 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1538\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable'brazil scorers'\n", "\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 472\n", - "unterminated string literal (detected at line 1) (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 231\n", + "single positional indexer is out-of-bounds\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 0%| | 20/4257 [00:06<19:55, 3.55 examples/s]" + "Map (num_proc=16): 2%|▏ | 67/4257 [00:16<09:43, 7.18 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 309\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 551\n", + "'>' not supported between instances of 'str' and 'float'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 472\n", + "'retired'\n", + "EEEERRRRRRR 625\n", + "'money raised'\n", + "EEEERRRRRRR 1390\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 0%| | 21/4257 [00:06<18:00, 3.92 examples/s]" + "Map (num_proc=16): 2%|▏ | 68/4257 [00:17<19:28, 3.59 examples/s]" ] }, { @@ -1810,9 +10336,9 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 148\n", - "'numpy.int64' object has no attribute 'isin'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1539\n", + "'>' not supported between instances of 'str' and 'int'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -1821,7 +10347,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 22/4257 [00:07<22:06, 3.19 examples/s]" + "Map (num_proc=16): 2%|▏ | 70/4257 [00:17<14:54, 4.68 examples/s]" ] }, { @@ -1838,16 +10364,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 24/4257 [00:07<15:22, 4.59 examples/s]" + "Map (num_proc=16): 2%|▏ | 71/4257 [00:18<22:10, 3.15 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 880\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -1857,73 +10380,69 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 25/4257 [00:07<20:30, 3.44 examples/s]" + "Map (num_proc=16): 2%|▏ | 72/4257 [00:18<19:42, 3.54 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 790\n", + "'best row 1'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1060\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 26/4257 [00:08<18:08, 3.89 examples/s]" + "Map (num_proc=16): 2%|▏ | 73/4257 [00:18<20:18, 3.43 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 706\n", + "'p 2008'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 28/4257 [00:08<12:40, 5.56 examples/s]" + "Map (num_proc=16): 2%|▏ | 74/4257 [00:18<18:29, 3.77 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1056\n", - "'score'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 30/4257 [00:08<09:59, 7.05 examples/s]" + "Map (num_proc=16): 2%|▏ | 75/4257 [00:18<17:15, 4.04 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'str' object is not callable\n", - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 790\n", - "'best row 1'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1391\n", + "could not convert string to float: '15.14 (104)'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -1933,7 +10452,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 32/4257 [00:08<08:53, 7.92 examples/s]" + "Map (num_proc=16): 2%|▏ | 76/4257 [00:19<21:43, 3.21 examples/s]" ] }, { @@ -1942,10 +10461,11 @@ "text": [ "'brazil scorers'\n", "'str' object is not callable\n", + "EEEERRRRRRR 149\n", + "could not convert string to float: '19.8 (122)'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1390\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -1954,17 +10474,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 34/4257 [00:09<11:56, 5.89 examples/s]" + "Map (num_proc=16): 2%|▏ | 78/4257 [00:19<17:39, 3.94 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 550\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -1972,66 +10488,61 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 35/4257 [00:09<14:14, 4.94 examples/s]" + "Map (num_proc=16): 2%|▏ | 79/4257 [00:19<16:17, 4.27 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 395\n", - "invalid literal for int() with base 10: 'fernandez '\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 36/4257 [00:09<14:45, 4.77 examples/s]" + "Map (num_proc=16): 2%|▏ | 81/4257 [00:20<15:06, 4.61 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 231\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 76\n", - "Can only compare identically-labeled Series objects\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 551\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 625\n", - "'2q | loans received , 2q'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1539\n", - "'age'\n", "'brazil scorers'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'str' object is not callable\n", - "\n" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 37/4257 [00:10<22:28, 3.13 examples/s]" + "Map (num_proc=16): 2%|▏ | 84/4257 [00:20<09:41, 7.18 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 38/4257 [00:10<22:00, 3.20 examples/s]" + "Map (num_proc=16): 2%|▏ | 85/4257 [00:20<09:41, 7.17 examples/s]" ] }, { @@ -2039,113 +10550,115 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRRGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5 \n", - "308\n", - "invalid literal for int() with base 10: ' 3 (11)'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 1228\n", + "single positional indexer is out-of-bounds\n", + "EEEERRRRRRR 4\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 77\n", + "'2001-04-14'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 40/4257 [00:10<16:29, 4.26 examples/s]" + "Map (num_proc=16): 2%|▏ | 86/4257 [00:21<22:22, 3.11 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 42/4257 [00:11<14:19, 4.90 examples/s]" + "Map (num_proc=16): 2%|▏ | 87/4257 [00:21<21:04, 3.30 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 472\n", + "EEEERRRRRRR 882\n", "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1227\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 43/4257 [00:11<20:43, 3.39 examples/s]" + "Map (num_proc=16): 2%|▏ | 88/4257 [00:22<18:25, 3.77 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 706\n", - "'p 2008'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 44/4257 [00:12<20:48, 3.38 examples/s]" + "Map (num_proc=16): 2%|▏ | 89/4257 [00:22<15:30, 4.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 45/4257 [00:12<19:33, 3.59 examples/s]" + "Map (num_proc=16): 2%|▏ | 91/4257 [00:22<15:09, 4.58 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 473\n", + "'brice feillu ( fra )'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 628\n", + "'berlin'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 396\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 309\n", + "'col'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 48/4257 [00:12<12:59, 5.40 examples/s]" + "Map (num_proc=16): 2%|▏ | 93/4257 [00:23<25:19, 2.74 examples/s]" ] }, { @@ -2161,7 +10674,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 50/4257 [00:12<10:10, 6.90 examples/s]" + "Map (num_proc=16): 2%|▏ | 94/4257 [00:24<23:46, 2.92 examples/s]" ] }, { @@ -2169,50 +10682,44 @@ "output_type": "stream", "text": [ "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%| | 52/4257 [00:12<08:18, 8.44 examples/s]" + "Map (num_proc=16): 2%|▏ | 96/4257 [00:24<16:20, 4.24 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 790\n", - "'best row 1'\n", - "EEEERRRRRRR 1390\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%|▏ | 54/4257 [00:13<11:59, 5.85 examples/s]" + "Map (num_proc=16): 2%|▏ | 99/4257 [00:24<12:21, 5.61 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1539\n", - "'age'\n", - "EEEERRRRRRR 76\n", - "Can only compare identically-labeled Series objects\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -2222,7 +10729,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%|▏ | 55/4257 [00:14<16:51, 4.15 examples/s]" + "Map (num_proc=16): 2%|▏ | 100/4257 [00:24<11:50, 5.85 examples/s]" ] }, { @@ -2230,18 +10737,20 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 881\n", - "index 0 is out of bounds for axis 0 with size 0\n", + "EEEERRRRRRR 1542\n", + "'DataFrame' object has no attribute 'gcm'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 149\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" + "EEEERRRRRRR 77\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%|▏ | 56/4257 [00:14<18:55, 3.70 examples/s]" + "Map (num_proc=16): 2%|▏ | 101/4257 [00:25<15:57, 4.34 examples/s]" ] }, { @@ -2249,6 +10758,9 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 790\n", + "'best row 1'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -2256,13 +10768,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%|▏ | 57/4257 [00:14<16:56, 4.13 examples/s]" + "Map (num_proc=16): 2%|▏ | 102/4257 [00:25<17:53, 3.87 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -2270,30 +10784,41 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%|▏ | 58/4257 [00:14<19:37, 3.57 examples/s]" + "Map (num_proc=16): 2%|▏ | 104/4257 [00:25<12:17, 5.63 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 706\n", + "'p 2008'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%|▏ | 60/4257 [00:15<13:56, 5.02 examples/s]" + ":1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1391\n", + "'<=' not supported between instances of 'str' and 'float'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -2304,7 +10829,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%|▏ | 62/4257 [00:15<16:00, 4.37 examples/s]" + "Map (num_proc=16): 3%|▎ | 110/4257 [00:26<10:29, 6.59 examples/s]" ] }, { @@ -2312,8 +10837,12 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 396\n", - "Can only use .dt accessor with datetimelike values\n", + "EEEERRRRRRR 4\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 149\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -2322,73 +10851,60 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 1%|▏ | 63/4257 [00:15<15:20, 4.56 examples/s]" + "Map (num_proc=16): 3%|▎ | 111/4257 [00:27<15:53, 4.35 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 1062\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable'brazil scorers'\n", + "EEEERRRRRRR'brazil scorers'\n", + " 'str' object is not callable309\n", "\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 231\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'str' object has no attribute 'month'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 67/4257 [00:16<09:43, 7.18 examples/s]" + "Map (num_proc=16): 3%|▎ | 112/4257 [00:27<16:49, 4.10 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 309\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 551\n", - "'>' not supported between instances of 'str' and 'float'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 472\n", - "'retired'\n", - "EEEERRRRRRR 625\n", - "'money raised'\n", - "EEEERRRRRRR 1390\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 629\n", + "Can only compare identically-labeled Series objects\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 68/4257 [00:17<19:28, 3.59 examples/s]" + "Map (num_proc=16): 3%|▎ | 113/4257 [00:27<16:49, 4.10 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 232\n", + "attempt to get argmax of an empty sequence\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1539\n", - "'>' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 884\n", + "invalid syntax (, line 0)\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -2397,13 +10913,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 70/4257 [00:17<14:54, 4.68 examples/s]" + "Map (num_proc=16): 3%|▎ | 114/4257 [00:27<17:55, 3.85 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'brazil scorers'\n", + "\n", + "'str' object is not callable\n", + "EEEERRRRRRR 552\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -2414,13 +10936,26 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 71/4257 [00:18<22:10, 3.15 examples/s]" + "Map (num_proc=16): 3%|▎ | 116/4257 [00:28<20:26, 3.38 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR EEEERRRRRRR790 \n", + "77'best row 1'\n", + "\n", + "'>' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1229\n", + "name 'datetime' is not defined\n", + "EEEERRRRRRR 396\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -2430,26 +10965,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 72/4257 [00:18<19:42, 3.54 examples/s]" + "Map (num_proc=16): 3%|▎ | 118/4257 [00:29<21:46, 3.17 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 790\n", - "'best row 1'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1060\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 73/4257 [00:18<20:18, 3.43 examples/s]" + "Map (num_proc=16): 3%|▎ | 119/4257 [00:29<23:29, 2.94 examples/s]" ] }, { @@ -2457,23 +10989,20 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 706\n", - "'p 2008'\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 74/4257 [00:18<18:29, 3.77 examples/s]" + "Map (num_proc=16): 3%|▎ | 121/4257 [00:30<17:30, 3.94 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -2483,7 +11012,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 75/4257 [00:18<17:15, 4.04 examples/s]" + "Map (num_proc=16): 3%|▎ | 122/4257 [00:30<21:28, 3.21 examples/s]" ] }, { @@ -2491,8 +11020,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1391\n", - "could not convert string to float: '15.14 (104)'\n", + "EEEERRRRRRR 149\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -2502,35 +11031,41 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 76/4257 [00:19<21:43, 3.21 examples/s]" + "Map (num_proc=16): 3%|▎ | 123/4257 [00:30<21:49, 3.16 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "EEEERRRRRRR 149\n", - "could not convert string to float: '19.8 (122)'\n", + "EEEERRRRRRR 474\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 5\n", + "Could not convert string '70 + 71 + 68 + 72 = 281' to numeric\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR'brazil scorers' \n", + "707'str' object is not callable\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 78/4257 [00:19<17:39, 3.94 examples/s]" + "Map (num_proc=16): 3%|▎ | 124/4257 [00:31<22:27, 3.07 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "unsupported operand type(s) for -: 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "EEEERRRRRRR 1391\n", + "invalid syntax (, line 0)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -2538,7 +11073,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 79/4257 [00:19<16:17, 4.27 examples/s]" + "Map (num_proc=16): 3%|▎ | 125/4257 [00:31<24:03, 2.86 examples/s]" ] }, { @@ -2548,24 +11083,6 @@ "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 2%|▏ | 81/4257 [00:20<15:06, 4.61 examples/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 551\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -2575,14 +11092,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 84/4257 [00:20<09:41, 7.18 examples/s]" + "Map (num_proc=16): 3%|▎ | 127/4257 [00:31<17:46, 3.87 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -2592,7 +11108,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 85/4257 [00:20<09:41, 7.17 examples/s]" + "Map (num_proc=16): 3%|▎ | 128/4257 [00:32<15:24, 4.47 examples/s]" ] }, { @@ -2600,14 +11116,11 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1228\n", - "single positional indexer is out-of-bounds\n", - "EEEERRRRRRR 4\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 77\n", - "'2001-04-14'\n", + "EEEERRRRRRR 884\n", + "'amt 3.0'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -2617,13 +11130,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 86/4257 [00:21<22:22, 3.11 examples/s]" + "Map (num_proc=16): 3%|▎ | 130/4257 [00:32<19:26, 3.54 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -2631,46 +11147,48 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 87/4257 [00:21<21:04, 3.30 examples/s]" + "Map (num_proc=16): 3%|▎ | 132/4257 [00:33<15:10, 4.53 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 882\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 88/4257 [00:22<18:25, 3.77 examples/s]" + "Map (num_proc=16): 3%|▎ | 133/4257 [00:33<13:50, 4.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 89/4257 [00:22<15:30, 4.48 examples/s]" + "Map (num_proc=16): 3%|▎ | 136/4257 [00:33<09:27, 7.26 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -2679,26 +11197,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 91/4257 [00:22<15:09, 4.58 examples/s]" + "Map (num_proc=16): 3%|▎ | 138/4257 [00:33<09:40, 7.10 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 473\n", - "'brice feillu ( fra )'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 628\n", - "'berlin'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 396\n", + "EEEERRRRRRR 552\n", "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 309\n", - "'col'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -2708,13 +11216,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 93/4257 [00:23<25:19, 2.74 examples/s]" + "Map (num_proc=16): 3%|▎ | 140/4257 [00:33<07:50, 8.76 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 790\n", + "'best row 1'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1391\n", + "unsupported operand type(s) for &: 'str' and 'bool'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -2724,52 +11242,51 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 94/4257 [00:24<23:46, 2.92 examples/s]" + "Map (num_proc=16): 3%|▎ | 142/4257 [00:34<14:59, 4.58 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n" + "EEEERRRRRRR 1542\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 309Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 96/4257 [00:24<16:20, 4.24 examples/s]" + "Map (num_proc=16): 3%|▎ | 143/4257 [00:35<17:07, 4.01 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1230\n", + "invalid syntax (, line 0)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 99/4257 [00:24<12:21, 5.61 examples/s]" + "Map (num_proc=16): 3%|▎ | 144/4257 [00:35<15:31, 4.42 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -2779,7 +11296,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 100/4257 [00:24<11:50, 5.85 examples/s]" + "Map (num_proc=16): 3%|▎ | 146/4257 [00:35<13:10, 5.20 examples/s]" ] }, { @@ -2787,11 +11304,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1542\n", - "'DataFrame' object has no attribute 'gcm'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 77\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", + "EEEERRRRRRR 149\n", + "'<' not supported between instances of 'str' and 'int'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -2800,7 +11314,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 101/4257 [00:25<15:57, 4.34 examples/s]" + "Map (num_proc=16): 3%|▎ | 147/4257 [00:35<16:20, 4.19 examples/s]" ] }, { @@ -2809,32 +11323,40 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 790\n", - "'best row 1'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 77\n", + "Can only use .dt accessor with datetimelike values\n", + "EEEERRRRRRR 629\n", + "'event'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 102/4257 [00:25<17:53, 3.87 examples/s]" + "Map (num_proc=16): 3%|▎ | 148/4257 [00:36<20:28, 3.35 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 234\n", + "int() argument must be a string, a bytes-like object or a real number, not 'NoneType'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 2%|▏ | 104/4257 [00:25<12:17, 5.63 examples/s]" + "Map (num_proc=16): 4%|▎ | 149/4257 [00:36<20:31, 3.34 examples/s]" ] }, { @@ -2845,41 +11367,32 @@ "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1066\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 706\n", - "'p 2008'\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - ":1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n" + "Map (num_proc=16): 4%|▎ | 151/4257 [00:37<16:39, 4.11 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1391\n", - "'<=' not supported between instances of 'str' and 'float'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 110/4257 [00:26<10:29, 6.59 examples/s]" + "Map (num_proc=16): 4%|▎ | 152/4257 [00:37<15:34, 4.39 examples/s]" ] }, { @@ -2887,74 +11400,59 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 4\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 149\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 111/4257 [00:27<15:53, 4.35 examples/s]" + "Map (num_proc=16): 4%|▎ | 154/4257 [00:37<14:53, 4.59 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1062\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "EEEERRRRRRR 474\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR'brazil scorers'\n", - " 'str' object is not callable309\n", - "\n", - "'str' object has no attribute 'month'\n" + "EEEERRRRRRR 790\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 112/4257 [00:27<16:49, 4.10 examples/s]" + "Map (num_proc=16): 4%|▎ | 155/4257 [00:38<21:46, 3.14 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 629\n", - "Can only compare identically-labeled Series objects\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 113/4257 [00:27<16:49, 4.10 examples/s]" + "Map (num_proc=16): 4%|▎ | 156/4257 [00:38<19:38, 3.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 232\n", - "attempt to get argmax of an empty sequence\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 884\n", - "invalid syntax (, line 0)\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -2963,21 +11461,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 114/4257 [00:27<17:55, 3.85 examples/s]" + "Map (num_proc=16): 4%|▎ | 159/4257 [00:38<12:57, 5.27 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'brazil scorers'\n", - "\n", - "'str' object is not callable\n", - "EEEERRRRRRR 552\n", - "Can only use .dt accessor with datetimelike values\n", + "EEEERRRRRRR 397\n", + "unterminated string literal (detected at line 1) (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 151\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -2986,26 +11484,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 116/4257 [00:28<20:26, 3.38 examples/s]" + "Map (num_proc=16): 4%|▍ | 161/4257 [00:39<18:31, 3.69 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR EEEERRRRRRR790 \n", - "77'best row 1'\n", - "\n", - "'>' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1229\n", - "name 'datetime' is not defined\n", - "EEEERRRRRRR 396\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -3015,7 +11500,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 118/4257 [00:29<21:46, 3.17 examples/s]" + "Map (num_proc=16): 4%|▍ | 162/4257 [00:39<17:33, 3.89 examples/s]" ] }, { @@ -3031,13 +11516,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 119/4257 [00:29<23:29, 2.94 examples/s]" + "Map (num_proc=16): 4%|▍ | 163/4257 [00:39<16:00, 4.26 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1542\n", + "'>=' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -3046,13 +11534,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 121/4257 [00:30<17:30, 3.94 examples/s]" + "Map (num_proc=16): 4%|▍ | 165/4257 [00:40<14:11, 4.81 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 709\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -3062,68 +11554,63 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 122/4257 [00:30<21:28, 3.21 examples/s]" + "Map (num_proc=16): 4%|▍ | 167/4257 [00:40<16:44, 4.07 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1066\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 149\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 123/4257 [00:30<21:49, 3.16 examples/s]" + "Map (num_proc=16): 4%|▍ | 168/4257 [00:41<17:53, 3.81 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 474\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 5\n", - "Could not convert string '70 + 71 + 68 + 72 = 281' to numeric\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR'brazil scorers' \n", - "707'str' object is not callable\n", - "\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 124/4257 [00:31<22:27, 3.07 examples/s]" + "Map (num_proc=16): 4%|▍ | 170/4257 [00:41<15:05, 4.51 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "unsupported operand type(s) for -: 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "EEEERRRRRRR 1391\n", - "invalid syntax (, line 0)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 1230\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 552\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 125/4257 [00:31<24:03, 2.86 examples/s]" + "Map (num_proc=16): 4%|▍ | 171/4257 [00:42<18:10, 3.75 examples/s]" ] }, { @@ -3133,22 +11620,23 @@ "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 127/4257 [00:31<17:46, 3.87 examples/s]" + "Map (num_proc=16): 4%|▍ | 173/4257 [00:42<13:24, 5.08 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 5\n", + "name 'average_score' is not defined\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -3158,46 +11646,49 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 128/4257 [00:32<15:24, 4.47 examples/s]" + "Map (num_proc=16): 4%|▍ | 174/4257 [00:42<14:46, 4.61 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 888\n", + "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 309\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5unsupported operand type(s) for -: 'str' and 'str'\n", + "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 884\n", - "'amt 3.0'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "'brazil scorers'EEEERRRRRRR\n", + " 'str' object is not callable397\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 130/4257 [00:32<19:26, 3.54 examples/s]" + "Map (num_proc=16): 4%|▍ | 176/4257 [00:42<14:31, 4.68 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 132/4257 [00:33<15:10, 4.53 examples/s]" + "Map (num_proc=16): 4%|▍ | 177/4257 [00:43<14:40, 4.64 examples/s]" ] }, { @@ -3205,24 +11696,21 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 133/4257 [00:33<13:50, 4.97 examples/s]" + "Map (num_proc=16): 4%|▍ | 178/4257 [00:43<17:26, 3.90 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -3232,7 +11720,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 136/4257 [00:33<09:27, 7.26 examples/s]" + "Map (num_proc=16): 4%|▍ | 179/4257 [00:43<15:20, 4.43 examples/s]" ] }, { @@ -3240,22 +11728,22 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 138/4257 [00:33<09:40, 7.10 examples/s]" + "Map (num_proc=16): 4%|▍ | 180/4257 [00:43<13:30, 5.03 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 552\n", - "Can only use .dt accessor with datetimelike values\n", + " 790\n", + "'best row 1'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -3266,24 +11754,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 140/4257 [00:33<07:50, 8.76 examples/s]" + "Map (num_proc=16): 4%|▍ | 181/4257 [00:44<16:17, 4.17 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 234\n", + "Can only compare identically-labeled Series objects\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 790\n", - "'best row 1'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1391\n", - "unsupported operand type(s) for &: 'str' and 'bool'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -3292,19 +11773,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 142/4257 [00:34<14:59, 4.58 examples/s]" + "Map (num_proc=16): 4%|▍ | 182/4257 [00:44<16:47, 4.05 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1542\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 309Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -3312,82 +11787,68 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 143/4257 [00:35<17:07, 4.01 examples/s]" + "Map (num_proc=16): 4%|▍ | 183/4257 [00:44<17:04, 3.98 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1230\n", - "invalid syntax (, line 0)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 144/4257 [00:35<15:31, 4.42 examples/s]" + "Map (num_proc=16): 4%|▍ | 184/4257 [00:44<15:01, 4.52 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 146/4257 [00:35<13:10, 5.20 examples/s]" + "Map (num_proc=16): 4%|▍ | 185/4257 [00:44<14:57, 4.54 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 631\n", + "invalid literal for int() with base 10: 'w 14'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 149\n", - "'<' not supported between instances of 'str' and 'int'\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 147/4257 [00:35<16:20, 4.19 examples/s]" + "Map (num_proc=16): 4%|▍ | 186/4257 [00:45<16:32, 4.10 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 77\n", - "Can only use .dt accessor with datetimelike values\n", - "EEEERRRRRRR 629\n", - "'event'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 3%|▎ | 148/4257 [00:36<20:28, 3.35 examples/s]" + "Map (num_proc=16): 4%|▍ | 187/4257 [00:45<15:47, 4.30 examples/s]" ] }, { @@ -3395,18 +11856,16 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 234\n", - "int() argument must be a string, a bytes-like object or a real number, not 'NoneType'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 1542\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▎ | 149/4257 [00:36<20:31, 3.34 examples/s]" + "Map (num_proc=16): 4%|▍ | 188/4257 [00:45<20:45, 3.27 examples/s]" ] }, { @@ -3417,24 +11876,26 @@ "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1066\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▎ | 151/4257 [00:37<16:39, 4.11 examples/s]" + "Map (num_proc=16): 5%|▍ | 192/4257 [00:46<09:14, 7.33 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -3442,7 +11903,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▎ | 152/4257 [00:37<15:34, 4.39 examples/s]" + "Map (num_proc=16): 5%|▍ | 194/4257 [00:46<15:34, 4.35 examples/s]" ] }, { @@ -3450,36 +11911,31 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 889\n", + "'director(s)'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▎ | 154/4257 [00:37<14:53, 4.59 examples/s]" + "Map (num_proc=16): 5%|▍ | 195/4257 [00:47<15:46, 4.29 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 474\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 790\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▎ | 155/4257 [00:38<21:46, 3.14 examples/s]" + "Map (num_proc=16): 5%|▍ | 197/4257 [00:47<11:54, 5.68 examples/s]" ] }, { @@ -3493,48 +11949,38 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▎ | 156/4257 [00:38<19:38, 3.48 examples/s]" + "Map (num_proc=16): 5%|▍ | 198/4257 [00:47<12:56, 5.23 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▎ | 159/4257 [00:38<12:57, 5.27 examples/s]" + "Map (num_proc=16): 5%|▍ | 200/4257 [00:47<12:01, 5.62 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 397\n", - "unterminated string literal (detected at line 1) (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 151\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 161/4257 [00:39<18:31, 3.69 examples/s]" + "Map (num_proc=16): 5%|▍ | 201/4257 [00:48<14:05, 4.80 examples/s]" ] }, { @@ -3550,70 +11996,71 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 162/4257 [00:39<17:33, 3.89 examples/s]" + "Map (num_proc=16): 5%|▍ | 202/4257 [00:48<12:26, 5.44 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 163/4257 [00:39<16:00, 4.26 examples/s]" + "Map (num_proc=16): 5%|▍ | 204/4257 [00:48<12:59, 5.20 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1542\n", - "'>=' not supported between instances of 'str' and 'int'\n", + "EEEERRRRRRR 78\n", + "'grand slam tournaments'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 790\n", + "'best row 1'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 477\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 165/4257 [00:40<14:11, 4.81 examples/s]" + "Map (num_proc=16): 5%|▍ | 205/4257 [00:49<15:16, 4.42 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 709\n", + "EEEERRRRRRR 6\n", + "closing parenthesis ']' does not match opening parenthesis '(' (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 151\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "EEEERRRRRRR 397\n", "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRRGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + " 631\n", + "'score'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 4%|▍ | 167/4257 [00:40<16:44, 4.07 examples/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EEEERRRRRRR 1066\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1398\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -3621,36 +12068,39 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 168/4257 [00:41<17:53, 3.81 examples/s]" + "Map (num_proc=16): 5%|▍ | 207/4257 [00:50<24:55, 2.71 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 552\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1068\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 170/4257 [00:41<15:05, 4.51 examples/s]" + "Map (num_proc=16): 5%|▍ | 208/4257 [00:51<30:36, 2.21 examples/s]" ] }, { "name": "stdout", "output_type": "stream", - "text": [ - "EEEERRRRRRR 1230\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 552\n", - "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -3660,16 +12110,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 171/4257 [00:42<18:10, 3.75 examples/s]" + "Map (num_proc=16): 5%|▍ | 211/4257 [00:51<23:09, 2.91 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -3677,7 +12124,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 173/4257 [00:42<13:24, 5.08 examples/s]" + "Map (num_proc=16): 5%|▍ | 212/4257 [00:51<21:45, 3.10 examples/s]" ] }, { @@ -3685,9 +12132,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 5\n", - "name 'average_score' is not defined\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 310\n", + "'minnesota'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -3696,39 +12142,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 174/4257 [00:42<14:46, 4.61 examples/s]" + "Map (num_proc=16): 5%|▌ | 213/4257 [00:52<18:47, 3.59 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 888\n", - "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 309\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5unsupported operand type(s) for -: 'str' and 'str'\n", - "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'EEEERRRRRRR\n", - " 'str' object is not callable397\n", - "\n" + "EEEERRRRRRR 711\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 176/4257 [00:42<14:31, 4.68 examples/s]" + "Map (num_proc=16): 5%|▌ | 214/4257 [00:52<18:51, 3.57 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -3738,13 +12176,25 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 177/4257 [00:43<14:40, 4.64 examples/s]" + "Map (num_proc=16): 5%|▌ | 215/4257 [00:52<16:05, 4.19 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 78\n", + "'win - loss'\n", + "EEEERRRRRRR 235\n", + "'merja rantanen'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 889\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -3754,7 +12204,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 178/4257 [00:43<17:26, 3.90 examples/s]" + "Map (num_proc=16): 5%|▌ | 217/4257 [00:53<22:23, 3.01 examples/s]" ] }, { @@ -3770,31 +12220,39 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 179/4257 [00:43<15:20, 4.43 examples/s]" + "Map (num_proc=16): 5%|▌ | 218/4257 [00:53<19:34, 3.44 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 791\n", + "Can only use .dt accessor with datetimelike values\n", + "EEEERRRRRRR 151\n", + "'no'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1239\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 477\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 180/4257 [00:43<13:30, 5.03 examples/s]" + "Map (num_proc=16): 5%|▌ | 219/4257 [00:54<29:07, 2.31 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 790\n", - "'best row 1'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -3804,16 +12262,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 181/4257 [00:44<16:17, 4.17 examples/s]" + "Map (num_proc=16): 5%|▌ | 220/4257 [00:54<23:53, 2.82 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 234\n", - "Can only compare identically-labeled Series objects\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1543\n", + "'McLaren M23'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -3823,21 +12281,29 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 182/4257 [00:44<16:47, 4.05 examples/s]" + "Map (num_proc=16): 5%|▌ | 221/4257 [00:55<26:02, 2.58 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 183/4257 [00:44<17:04, 3.98 examples/s]" + "Map (num_proc=16): 5%|▌ | 224/4257 [00:55<16:51, 3.99 examples/s]" ] }, { @@ -3853,29 +12319,34 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 184/4257 [00:44<15:01, 4.52 examples/s]" + "Map (num_proc=16): 5%|▌ | 225/4257 [00:55<16:09, 4.16 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1069\n", + "'no'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 185/4257 [00:44<14:57, 4.54 examples/s]" + "Map (num_proc=16): 5%|▌ | 226/4257 [00:55<16:20, 4.11 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 631\n", - "invalid literal for int() with base 10: 'w 14'\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -3884,21 +12355,29 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 186/4257 [00:45<16:32, 4.10 examples/s]" + "Map (num_proc=16): 5%|▌ | 228/4257 [00:56<13:50, 4.85 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 553\n", + "'designation'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 187/4257 [00:45<15:47, 4.30 examples/s]" + "Map (num_proc=16): 5%|▌ | 230/4257 [00:56<13:52, 4.84 examples/s]" ] }, { @@ -3906,54 +12385,56 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1542\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 6\n", + "Can only use .dt accessor with datetimelike values\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 4%|▍ | 188/4257 [00:45<20:45, 3.27 examples/s]" + "Map (num_proc=16): 5%|▌ | 231/4257 [00:56<14:04, 4.76 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "EEEERRRRRRR 1239\n", + "'Series' object has no attribute 'vfl_club'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 192/4257 [00:46<09:14, 7.33 examples/s]" + "Map (num_proc=16): 5%|▌ | 233/4257 [00:57<14:57, 4.49 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 889\n", + "'director(s)'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 78\n", + "'year end ranking'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 194/4257 [00:46<15:34, 4.35 examples/s]" + "Map (num_proc=16): 6%|▌ | 235/4257 [00:57<14:20, 4.67 examples/s]" ] }, { @@ -3961,22 +12442,20 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 889\n", - "'director(s)'\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 195/4257 [00:47<15:46, 4.29 examples/s]" + "Map (num_proc=16): 6%|▌ | 236/4257 [00:58<19:18, 3.47 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -3985,30 +12464,32 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 197/4257 [00:47<11:54, 5.68 examples/s]" + "Map (num_proc=16): 6%|▌ | 238/4257 [00:58<15:03, 4.45 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR'brazil scorers' \n", + "398'str' object is not callable\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 198/4257 [00:47<12:56, 5.23 examples/s]" + "Map (num_proc=16): 6%|▌ | 239/4257 [00:58<14:07, 4.74 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'12-11'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -4016,27 +12497,38 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 200/4257 [00:47<12:01, 5.62 examples/s]" + "Map (num_proc=16): 6%|▌ | 240/4257 [00:59<16:27, 4.07 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 201/4257 [00:48<14:05, 4.80 examples/s]" + "Map (num_proc=16): 6%|▌ | 242/4257 [00:59<11:25, 5.86 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 237\n", + "'>' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 312\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -4046,16 +12538,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 202/4257 [00:48<12:26, 5.44 examples/s]" + "Map (num_proc=16): 6%|▌ | 243/4257 [00:59<19:56, 3.36 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -4063,74 +12552,59 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 204/4257 [00:48<12:59, 5.20 examples/s]" + "Map (num_proc=16): 6%|▌ | 244/4257 [01:00<17:06, 3.91 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 78\n", - "'grand slam tournaments'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 790\n", - "'best row 1'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 711\n", + "can't multiply sequence by non-int of type 'float'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 477\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" + "EEEERRRRRRR" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 205/4257 [00:49<15:16, 4.42 examples/s]" + "Map (num_proc=16): 6%|▌ | 245/4257 [01:00<21:36, 3.09 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 6\n", - "closing parenthesis ']' does not match opening parenthesis '(' (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 151\n", - "unterminated string literal (detected at line 1) (, line 1)\n", - "EEEERRRRRRR 397\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRRGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - " 631\n", - "'score'\n", + " 152\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1398\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 631\n", + "Can only use .dt accessor with datetimelike values\n", + "'brazil scorers''brazil scorers'\n", + "\n", + "'str' object is not callable'str' object is not callable\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 207/4257 [00:50<24:55, 2.71 examples/s]" + "Map (num_proc=16): 6%|▌ | 246/4257 [01:00<20:13, 3.30 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 552\n", - "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1068\n", - "unterminated string literal (detected at line 1) (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -4138,20 +12612,25 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 208/4257 [00:51<30:36, 2.21 examples/s]" + "Map (num_proc=16): 6%|▌ | 249/4257 [01:01<16:55, 3.95 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 1545\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1401\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1239\n", + "'location of death'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 553\n", + "'designation'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -4160,21 +12639,24 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 211/4257 [00:51<23:09, 2.91 examples/s]" + "Map (num_proc=16): 6%|▌ | 250/4257 [01:02<28:32, 2.34 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 477\n", + "'Timestamp' object has no attribute 'isna'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▍ | 212/4257 [00:51<21:45, 3.10 examples/s]" + "Map (num_proc=16): 6%|▌ | 251/4257 [01:03<32:29, 2.05 examples/s]" ] }, { @@ -4182,8 +12664,11 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 310\n", - "'minnesota'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1069\n", + "'no'\n", + "EEEERRRRRRR 78\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -4192,7 +12677,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 213/4257 [00:52<18:47, 3.59 examples/s]" + "Map (num_proc=16): 6%|▌ | 252/4257 [01:03<31:40, 2.11 examples/s]" ] }, { @@ -4201,16 +12686,16 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 711\n", - "unterminated string literal (detected at line 1) (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 214/4257 [00:52<18:51, 3.57 examples/s]" + "Map (num_proc=16): 6%|▌ | 253/4257 [01:03<28:10, 2.37 examples/s]" ] }, { @@ -4226,25 +12711,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 215/4257 [00:52<16:05, 4.19 examples/s]" + "Map (num_proc=16): 6%|▌ | 254/4257 [01:04<27:38, 2.41 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 78\n", - "'win - loss'\n", - "EEEERRRRRRR 235\n", - "'merja rantanen'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 889\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -4254,7 +12727,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 217/4257 [00:53<22:23, 3.01 examples/s]" + "Map (num_proc=16): 6%|▌ | 255/4257 [01:04<24:40, 2.70 examples/s]" ] }, { @@ -4270,25 +12743,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 218/4257 [00:53<19:34, 3.44 examples/s]" + "Map (num_proc=16): 6%|▌ | 256/4257 [01:04<22:17, 2.99 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 791\n", - "Can only use .dt accessor with datetimelike values\n", - "EEEERRRRRRR 151\n", - "'no'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1239\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 477\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -4296,13 +12757,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 219/4257 [00:54<29:07, 2.31 examples/s]" + "Map (num_proc=16): 6%|▌ | 257/4257 [01:04<18:30, 3.60 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 312\n", + "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -4312,16 +12777,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 220/4257 [00:54<23:53, 2.82 examples/s]" + "Map (num_proc=16): 6%|▌ | 259/4257 [01:05<15:05, 4.42 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1543\n", - "'McLaren M23'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -4331,7 +12793,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 221/4257 [00:55<26:02, 2.58 examples/s]" + "Map (num_proc=16): 6%|▌ | 260/4257 [01:05<15:57, 4.17 examples/s]" ] }, { @@ -4340,45 +12802,52 @@ "text": [ "'brazil scorers'\n", "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "EEEERRRRRRR 153\n", + "'int' object has no attribute 'sum'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 224/4257 [00:55<16:51, 3.99 examples/s]" + "Map (num_proc=16): 6%|▌ | 262/4257 [01:06<21:32, 3.09 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'EEEERRRRRRR\n", + " 1239'str' object is not callable\n", + "'new guinea host 9 vfl game'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 225/4257 [00:55<16:09, 4.16 examples/s]" + "Map (num_proc=16): 6%|▌ | 264/4257 [01:06<15:40, 4.24 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1069\n", - "'no'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -4388,37 +12857,70 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 226/4257 [00:55<16:20, 4.11 examples/s]" + "Map (num_proc=16): 6%|▋ | 267/4257 [01:07<12:56, 5.14 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 792\n", + "Cannot perform 'rand_' with a dtyped [int64] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 6\n", + "Can only use .dt accessor with datetimelike values\n", + "'brazil scorers'EEEERRRRRRR\n", + " 'str' object is not callable398\n", + "\n", + "single positional indexer is out-of-bounds" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 228/4257 [00:56<13:50, 4.85 examples/s]" + "Map (num_proc=16): 6%|▋ | 268/4257 [01:07<14:45, 4.51 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 889\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "EEEERRRRRRR 78\n", + "'Australian open'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 477\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 711\n", + "ufunc 'less_equal' did not contain a loop with signature matching types (, ) -> None\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 237\n", + "EEEERRRRRRR'2008-09 Real Madrid CF season' \n", + "1402\n", + "'loss'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "EEEERRRRRRR 553\n", "'designation'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1546\n", + "'lap-by-lap'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1070\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 631\n", + "invalid literal for int() with base 10: 'w'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -4427,7 +12929,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 230/4257 [00:56<13:52, 4.84 examples/s]" + "Map (num_proc=16): 6%|▋ | 269/4257 [01:09<42:10, 1.58 examples/s]" ] }, { @@ -4435,26 +12937,21 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 6\n", - "Can only use .dt accessor with datetimelike values\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 231/4257 [00:56<14:04, 4.76 examples/s]" + "Map (num_proc=16): 6%|▋ | 270/4257 [01:09<34:39, 1.92 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "EEEERRRRRRR 1239\n", - "'Series' object has no attribute 'vfl_club'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -4462,29 +12959,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 5%|▌ | 233/4257 [00:57<14:57, 4.49 examples/s]" + "Map (num_proc=16): 6%|▋ | 271/4257 [01:10<41:44, 1.59 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 889\n", - "'director(s)'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 78\n", - "'year end ranking'\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 235/4257 [00:57<14:20, 4.67 examples/s]" + "Map (num_proc=16): 6%|▋ | 272/4257 [01:11<38:52, 1.71 examples/s]" ] }, { @@ -4492,29 +12983,37 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 236/4257 [00:58<19:18, 3.47 examples/s]" + "Map (num_proc=16): 6%|▋ | 273/4257 [01:11<31:10, 2.13 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 238/4257 [00:58<15:03, 4.45 examples/s]" + "Map (num_proc=16): 6%|▋ | 276/4257 [01:11<16:05, 4.12 examples/s]" ] }, { @@ -4522,40 +13021,37 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR'brazil scorers' \n", - "398'str' object is not callable\n", - "\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 239/4257 [00:58<14:07, 4.74 examples/s]" + "Map (num_proc=16): 7%|▋ | 277/4257 [01:11<16:46, 3.96 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'12-11'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 240/4257 [00:59<16:27, 4.07 examples/s]" + "Map (num_proc=16): 7%|▋ | 278/4257 [01:12<16:07, 4.11 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -4565,7 +13061,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 242/4257 [00:59<11:25, 5.86 examples/s]" + "Map (num_proc=16): 7%|▋ | 280/4257 [01:12<11:06, 5.97 examples/s]" ] }, { @@ -4574,12 +13070,8 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 237\n", - "'>' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 312\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -4588,13 +13080,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 243/4257 [00:59<19:56, 3.36 examples/s]" + "Map (num_proc=16): 7%|▋ | 282/4257 [01:12<10:21, 6.39 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1240\n", + "'samba / young hearts run free'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -4602,59 +13098,58 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 244/4257 [01:00<17:06, 3.91 examples/s]" + "Map (num_proc=16): 7%|▋ | 283/4257 [01:13<16:49, 3.94 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 312\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "EEEERRRRRRR 711\n", - "can't multiply sequence by non-int of type 'float'\n", + "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR" + "EEEERRRRRRR 1073\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 157\n", + "name 'datetime' is not defined\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 245/4257 [01:00<21:36, 3.09 examples/s]" + "Map (num_proc=16): 7%|▋ | 285/4257 [01:13<19:41, 3.36 examples/s]" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - " 152\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 631\n", - "Can only use .dt accessor with datetimelike values\n", - "'brazil scorers''brazil scorers'\n", - "\n", - "'str' object is not callable'str' object is not callable\n", - "\n" + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 246/4257 [01:00<20:13, 3.30 examples/s]" + "Map (num_proc=16): 7%|▋ | 286/4257 [01:14<18:16, 3.62 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -4662,34 +13157,28 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 249/4257 [01:01<16:55, 3.95 examples/s]" + "Map (num_proc=16): 7%|▋ | 287/4257 [01:14<15:50, 4.18 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1545\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1401\n", + "EEEERRRRRRR 632\n", "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1239\n", - "'location of death'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 553\n", - "'designation'\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "EEEERRRRRRR 'brazil scorers'6\n", + "\n", + "'str' object is not callableCan only use .dt accessor with datetimelike values\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 250/4257 [01:02<28:32, 2.34 examples/s]" + "Map (num_proc=16): 7%|▋ | 288/4257 [01:14<17:31, 3.77 examples/s]" ] }, { @@ -4698,54 +13187,70 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 477\n", - "'Timestamp' object has no attribute 'isna'\n" + "EEEERRRRRRR 1546\n", + "\"['lap-by-lap'] not in index\"\n", + "EEEERRRRRRR 479\n", + "invalid literal for int() with base 10: 'w 96'\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 251/4257 [01:03<32:29, 2.05 examples/s]" + "Map (num_proc=16): 7%|▋ | 289/4257 [01:14<18:23, 3.60 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5EEEERRRRRRR\n", + " 237\n", + "'>=' not supported between instances of 'str' and 'int'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1069\n", - "'no'\n", - "EEEERRRRRRR 78\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 553\n", + "'designation'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "EEEERRRRRRR" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 252/4257 [01:03<31:40, 2.11 examples/s]" + "Map (num_proc=16): 7%|▋ | 290/4257 [01:16<36:46, 1.80 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + " 890\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 793\n", + "unmatched ']' (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 1405\n", + "no units specified\n", + "EEEERRRRRRR 78\n", + "invalid syntax (, line 0)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 253/4257 [01:03<28:10, 2.37 examples/s]" + "Map (num_proc=16): 7%|▋ | 291/4257 [01:16<42:47, 1.54 examples/s]" ] }, { @@ -4761,7 +13266,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 254/4257 [01:04<27:38, 2.41 examples/s]" + "Map (num_proc=16): 7%|▋ | 292/4257 [01:17<33:34, 1.97 examples/s]" ] }, { @@ -4777,13 +13282,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 255/4257 [01:04<24:40, 2.70 examples/s]" + "Map (num_proc=16): 7%|▋ | 293/4257 [01:17<28:24, 2.33 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -4793,13 +13301,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 256/4257 [01:04<22:17, 2.99 examples/s]" + "Map (num_proc=16): 7%|▋ | 295/4257 [01:17<21:15, 3.11 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -4807,7 +13316,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 257/4257 [01:04<18:30, 3.60 examples/s]" + "Map (num_proc=16): 7%|▋ | 297/4257 [01:18<19:34, 3.37 examples/s]" ] }, { @@ -4815,19 +13324,16 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 312\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 634\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 259/4257 [01:05<15:05, 4.42 examples/s]" + "Map (num_proc=16): 7%|▋ | 298/4257 [01:18<21:22, 3.09 examples/s]" ] }, { @@ -4843,19 +13349,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 260/4257 [01:05<15:57, 4.17 examples/s]" + "Map (num_proc=16): 7%|▋ | 299/4257 [01:19<22:01, 3.00 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "EEEERRRRRRR 153\n", - "'int' object has no attribute 'sum'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -4863,41 +13363,36 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 262/4257 [01:06<21:32, 3.09 examples/s]" + "Map (num_proc=16): 7%|▋ | 300/4257 [01:19<22:34, 2.92 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'EEEERRRRRRR\n", - " 1239'str' object is not callable\n", - "'new guinea host 9 vfl game'\n" + "EEEERRRRRRR 398\n", + "'Rattlers'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▌ | 264/4257 [01:06<15:40, 4.24 examples/s]" + "Map (num_proc=16): 7%|▋ | 303/4257 [01:19<15:27, 4.26 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -4907,69 +13402,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▋ | 267/4257 [01:07<12:56, 5.14 examples/s]" + "Map (num_proc=16): 7%|▋ | 304/4257 [01:20<15:14, 4.32 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 792\n", - "Cannot perform 'rand_' with a dtyped [int64] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 6\n", - "Can only use .dt accessor with datetimelike values\n", - "'brazil scorers'EEEERRRRRRR\n", - " 'str' object is not callable398\n", - "\n", - "single positional indexer is out-of-bounds" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▋ | 268/4257 [01:07<14:45, 4.51 examples/s]" + "Map (num_proc=16): 7%|▋ | 305/4257 [01:20<16:22, 4.02 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 889\n", - "unterminated string literal (detected at line 1) (, line 1)\n", - "EEEERRRRRRR 78\n", - "'Australian open'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 477\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 711\n", - "ufunc 'less_equal' did not contain a loop with signature matching types (, ) -> None\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 237\n", - "EEEERRRRRRR'2008-09 Real Madrid CF season' \n", - "1402\n", - "'loss'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 553\n", - "'designation'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1546\n", - "'lap-by-lap'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1070\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 631\n", - "invalid literal for int() with base 10: 'w'\n", + "EEEERRRRRRR 712\n", + "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -4979,13 +13436,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▋ | 269/4257 [01:09<42:10, 1.58 examples/s]" + "Map (num_proc=16): 7%|▋ | 307/4257 [01:20<11:25, 5.76 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1240\n", + "'samba / young hearts run free'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 314\n", + "'retired'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -4995,21 +13460,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▋ | 270/4257 [01:09<34:39, 1.92 examples/s]" + "Map (num_proc=16): 7%|▋ | 308/4257 [01:21<19:48, 3.32 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▋ | 271/4257 [01:10<41:44, 1.59 examples/s]" + "Map (num_proc=16): 7%|▋ | 309/4257 [01:21<18:55, 3.48 examples/s]" ] }, { @@ -5017,15 +13484,22 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 157\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1549\n", + "'year'\n", + "EEEERRRRRRR 479\n", + "invalid literal for int() with base 10: 'w 96'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▋ | 272/4257 [01:11<38:52, 1.71 examples/s]" + "Map (num_proc=16): 7%|▋ | 310/4257 [01:22<24:23, 2.70 examples/s]" ] }, { @@ -5033,26 +13507,21 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 1075\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▋ | 273/4257 [01:11<31:10, 2.13 examples/s]" + "Map (num_proc=16): 7%|▋ | 311/4257 [01:22<24:14, 2.71 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -5063,13 +13532,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 6%|▋ | 276/4257 [01:11<16:05, 4.12 examples/s]" + "Map (num_proc=16): 7%|▋ | 312/4257 [01:22<22:37, 2.91 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 793\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 553\n", + "'designation'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -5079,13 +13554,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 277/4257 [01:11<16:46, 3.96 examples/s]" + "Map (num_proc=16): 7%|▋ | 313/4257 [01:23<26:32, 2.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers''brazil scorers'\n", + "\n", + "'str' object is not callable'str' object is not callable\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -5095,42 +13576,42 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 278/4257 [01:12<16:07, 4.11 examples/s]" + "Map (num_proc=16): 7%|▋ | 316/4257 [01:23<16:49, 3.90 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 6\n", + "'str' object has no attribute 'str'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1405\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 280/4257 [01:12<11:06, 5.97 examples/s]" + "Map (num_proc=16): 7%|▋ | 317/4257 [01:24<24:31, 2.68 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 282/4257 [01:12<10:21, 6.39 examples/s]" + "Map (num_proc=16): 7%|▋ | 319/4257 [01:24<19:29, 3.37 examples/s]" ] }, { @@ -5138,97 +13619,86 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1240\n", - "'samba / young hearts run free'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 283/4257 [01:13<16:49, 3.94 examples/s]" + "Map (num_proc=16): 8%|▊ | 320/4257 [01:24<16:49, 3.90 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 312\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 711\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1073\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 157\n", - "name 'datetime' is not defined\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 285/4257 [01:13<19:41, 3.36 examples/s]" + "Map (num_proc=16): 8%|▊ | 321/4257 [01:25<16:56, 3.87 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 892\n", + "invalid literal for int() with base 10: '68 + 68 + 71 = 207'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 314\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 286/4257 [01:14<18:16, 3.62 examples/s]" + "Map (num_proc=16): 8%|▊ | 322/4257 [01:25<19:08, 3.43 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 78\n", + "'>=' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 287/4257 [01:14<15:50, 4.18 examples/s]" + "Map (num_proc=16): 8%|▊ | 323/4257 [01:25<19:58, 3.28 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 632\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "EEEERRRRRRR 'brazil scorers'6\n", - "\n", - "'str' object is not callableCan only use .dt accessor with datetimelike values\n", - "\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 288/4257 [01:14<17:31, 3.77 examples/s]" + "Map (num_proc=16): 8%|▊ | 324/4257 [01:26<17:45, 3.69 examples/s]" ] }, { @@ -5236,11 +13706,6 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1546\n", - "\"['lap-by-lap'] not in index\"\n", - "EEEERRRRRRR 479\n", - "invalid literal for int() with base 10: 'w 96'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -5249,50 +13714,30 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 289/4257 [01:14<18:23, 3.60 examples/s]" + "Map (num_proc=16): 8%|▊ | 325/4257 [01:26<17:08, 3.82 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5EEEERRRRRRR\n", - " 237\n", - "'>=' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 553\n", - "'designation'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "EEEERRRRRRR" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 290/4257 [01:16<36:46, 1.80 examples/s]" + "Map (num_proc=16): 8%|▊ | 326/4257 [01:26<16:19, 4.01 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 890\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 793\n", - "unmatched ']' (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1405\n", - "no units specified\n", - "EEEERRRRRRR 78\n", - "invalid syntax (, line 0)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 237\n", + "'ends row'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -5300,7 +13745,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 291/4257 [01:16<42:47, 1.54 examples/s]" + "Map (num_proc=16): 8%|▊ | 327/4257 [01:26<19:23, 3.38 examples/s]" ] }, { @@ -5316,7 +13761,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 292/4257 [01:17<33:34, 1.97 examples/s]" + "Map (num_proc=16): 8%|▊ | 328/4257 [01:27<17:26, 3.75 examples/s]" ] }, { @@ -5324,24 +13769,30 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 293/4257 [01:17<28:24, 2.33 examples/s]" + "Map (num_proc=16): 8%|▊ | 330/4257 [01:27<13:15, 4.94 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 634\n", + "'<' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 712\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 399\n", + "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -5351,13 +13802,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 295/4257 [01:17<21:15, 3.11 examples/s]" + "Map (num_proc=16): 8%|▊ | 332/4257 [01:28<22:19, 2.93 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -5366,30 +13819,42 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 297/4257 [01:18<19:34, 3.37 examples/s]" + "Map (num_proc=16): 8%|▊ | 334/4257 [01:28<17:41, 3.69 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 634\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "EEEERRRRRRR 157\n", "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 298/4257 [01:18<21:22, 3.09 examples/s]" + "Map (num_proc=16): 8%|▊ | 336/4257 [01:28<12:58, 5.04 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1243\n", + "The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()\n", + "EEEERRRRRRR EEEERRRRRRR1077 \n", + "554The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "\n", + "'club team'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -5399,66 +13864,65 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 299/4257 [01:19<22:01, 3.00 examples/s]" + "Map (num_proc=16): 8%|▊ | 337/4257 [01:29<15:47, 4.14 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 300/4257 [01:19<22:34, 2.92 examples/s]" + "Map (num_proc=16): 8%|▊ | 338/4257 [01:29<18:15, 3.58 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 398\n", - "'Rattlers'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 303/4257 [01:19<15:27, 4.26 examples/s]" + "Map (num_proc=16): 8%|▊ | 340/4257 [01:30<16:58, 3.85 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 304/4257 [01:20<15:14, 4.32 examples/s]" + "Map (num_proc=16): 8%|▊ | 341/4257 [01:30<17:44, 3.68 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1550\n", + "'best row 1'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -5468,55 +13932,64 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 305/4257 [01:20<16:22, 4.02 examples/s]" + "Map (num_proc=16): 8%|▊ | 342/4257 [01:31<23:58, 2.72 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 712\n", - "single positional indexer is out-of-bounds\n", + "EEEERRRRRRR 237\n", + "'>=' not supported between instances of 'str' and 'int'\n", + "EEEERRRRRRR 1407\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 307/4257 [01:20<11:25, 5.76 examples/s]" + "Map (num_proc=16): 8%|▊ | 343/4257 [01:31<27:32, 2.37 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 479\n", + "invalid literal for int() with base 10: 'w 96'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 712\n", + "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1240\n", - "'samba / young hearts run free'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 314\n", - "'retired'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 308/4257 [01:21<19:48, 3.32 examples/s]" + "Map (num_proc=16): 8%|▊ | 345/4257 [01:32<21:48, 2.99 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -5526,22 +13999,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 309/4257 [01:21<18:55, 3.48 examples/s]" + "Map (num_proc=16): 8%|▊ | 349/4257 [01:32<13:53, 4.69 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 157\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1549\n", - "'year'\n", - "EEEERRRRRRR 479\n", - "invalid literal for int() with base 10: 'w 96'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -5549,30 +14013,30 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 310/4257 [01:22<24:23, 2.70 examples/s]" + "Map (num_proc=16): 8%|▊ | 350/4257 [01:32<13:45, 4.73 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1075\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 311/4257 [01:22<24:14, 2.71 examples/s]" + "Map (num_proc=16): 8%|▊ | 352/4257 [01:33<12:40, 5.13 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -5582,78 +14046,71 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 312/4257 [01:22<22:37, 2.91 examples/s]" + "Map (num_proc=16): 8%|▊ | 353/4257 [01:33<12:27, 5.23 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 793\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 553\n", - "'designation'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 313/4257 [01:23<26:32, 2.48 examples/s]" + "Map (num_proc=16): 8%|▊ | 355/4257 [01:33<11:56, 5.45 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers''brazil scorers'\n", - "\n", - "'str' object is not callable'str' object is not callable\n", - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 634\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable'brazil scorers'\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 316/4257 [01:23<16:49, 3.90 examples/s]" + "Map (num_proc=16): 8%|▊ | 356/4257 [01:34<14:29, 4.49 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 6\n", - "'str' object has no attribute 'str'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 554\n", + "'club team'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1405\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 317/4257 [01:24<24:31, 2.68 examples/s]" + "Map (num_proc=16): 8%|▊ | 358/4257 [01:34<14:20, 4.53 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -5661,7 +14118,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 7%|▋ | 319/4257 [01:24<19:29, 3.37 examples/s]" + "Map (num_proc=16): 8%|▊ | 361/4257 [01:34<09:07, 7.11 examples/s]" ] }, { @@ -5669,76 +14126,86 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 793\n", + "0\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'EEEERRRRRRR\n", + " 'str' object is not callable1077\n", + "\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()." ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 320/4257 [01:24<16:49, 3.90 examples/s]" + "Map (num_proc=16): 9%|▊ | 363/4257 [01:35<14:13, 4.56 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 321/4257 [01:25<16:56, 3.87 examples/s]" + "Map (num_proc=16): 9%|▊ | 366/4257 [01:35<12:11, 5.32 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 892\n", - "invalid literal for int() with base 10: '68 + 68 + 71 = 207'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 314\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 322/4257 [01:25<19:08, 3.43 examples/s]" + "Map (num_proc=16): 9%|▊ | 368/4257 [01:36<12:03, 5.38 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 78\n", - "'>=' not supported between instances of 'str' and 'int'\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 323/4257 [01:25<19:58, 3.28 examples/s]" + "Map (num_proc=16): 9%|▊ | 371/4257 [01:36<11:55, 5.43 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1407\n", + "unterminated string literal (detected at line 1) (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -5748,7 +14215,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 324/4257 [01:26<17:45, 3.69 examples/s]" + "Map (num_proc=16): 9%|▉ | 373/4257 [01:37<12:07, 5.34 examples/s]" ] }, { @@ -5756,15 +14223,16 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 78\n", + "'year end ranking'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 325/4257 [01:26<17:08, 3.82 examples/s]" + "Map (num_proc=16): 9%|▉ | 374/4257 [01:37<15:03, 4.30 examples/s]" ] }, { @@ -5778,16 +14246,20 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 326/4257 [01:26<16:19, 4.01 examples/s]" + "Map (num_proc=16): 9%|▉ | 375/4257 [01:37<14:26, 4.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 479\n", + "invalid literal for int() with base 10: 'w 96'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 237\n", - "'ends row'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -5795,30 +14267,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 327/4257 [01:26<19:23, 3.38 examples/s]" + "Map (num_proc=16): 9%|▉ | 380/4257 [01:38<09:18, 6.94 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 328/4257 [01:27<17:26, 3.75 examples/s]" + "Map (num_proc=16): 9%|▉ | 381/4257 [01:38<11:09, 5.79 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -5826,42 +14295,36 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 330/4257 [01:27<13:15, 4.94 examples/s]" + "Map (num_proc=16): 9%|▉ | 382/4257 [01:38<10:30, 6.14 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 634\n", - "'<' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 712\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 399\n", - "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 554\n", + "'team'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 332/4257 [01:28<22:19, 2.93 examples/s]" + "Map (num_proc=16): 9%|▉ | 383/4257 [01:39<12:24, 5.20 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 157\n", + "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 634\n", + "could not convert string to float: '17.20 (122)'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -5869,70 +14332,57 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 334/4257 [01:28<17:41, 3.69 examples/s]" + "Map (num_proc=16): 9%|▉ | 384/4257 [01:39<15:58, 4.04 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "EEEERRRRRRR 157\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 315\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 336/4257 [01:28<12:58, 5.04 examples/s]" + "Map (num_proc=16): 9%|▉ | 385/4257 [01:39<19:16, 3.35 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 8\n", + "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1243\n", - "The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()\n", - "EEEERRRRRRR EEEERRRRRRR1077 \n", - "554The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "\n", - "'club team'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 337/4257 [01:29<15:47, 4.14 examples/s]" + "Map (num_proc=16): 9%|▉ | 386/4257 [01:40<19:07, 3.37 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 895\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 338/4257 [01:29<18:15, 3.58 examples/s]" + "Map (num_proc=16): 9%|▉ | 387/4257 [01:40<19:13, 3.36 examples/s]" ] }, { @@ -5942,6 +14392,8 @@ "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -5949,21 +14401,28 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 340/4257 [01:30<16:58, 3.85 examples/s]" + "Map (num_proc=16): 9%|▉ | 390/4257 [01:41<15:26, 4.17 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1245\n", + "invalid literal for int() with base 10: ' 3 ot'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 713\n", + "'no'\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 341/4257 [01:30<17:44, 3.68 examples/s]" + "Map (num_proc=16): 9%|▉ | 391/4257 [01:41<16:52, 3.82 examples/s]" ] }, { @@ -5971,8 +14430,6 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1550\n", - "'best row 1'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -5982,97 +14439,90 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 342/4257 [01:31<23:58, 2.72 examples/s]" + "Map (num_proc=16): 9%|▉ | 392/4257 [01:41<17:25, 3.70 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 237\n", - "'>=' not supported between instances of 'str' and 'int'\n", - "EEEERRRRRRR 1407\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 343/4257 [01:31<27:32, 2.37 examples/s]" + "Map (num_proc=16): 9%|▉ | 394/4257 [01:42<13:58, 4.61 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 479\n", - "invalid literal for int() with base 10: 'w 96'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 712\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 345/4257 [01:32<21:48, 2.99 examples/s]" + "Map (num_proc=16): 9%|▉ | 395/4257 [01:42<13:06, 4.91 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1554Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "\"'rating'\"\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 349/4257 [01:32<13:53, 4.69 examples/s]" + "Map (num_proc=16): 9%|▉ | 396/4257 [01:42<17:12, 3.74 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "EEEERRRRRRR'str' object is not callable 794\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 350/4257 [01:32<13:45, 4.73 examples/s]" + "Map (num_proc=16): 9%|▉ | 397/4257 [01:43<23:56, 2.69 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 402\n", + "'best row 1'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR EEEERRRRRRR554 \n", + "238'DataFrame' object has no attribute 'college'\n", + "\n", + "() got an unexpected keyword argument 'axis'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -6080,13 +14530,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 352/4257 [01:33<12:40, 5.13 examples/s]" + "Map (num_proc=16): 9%|▉ | 398/4257 [01:43<23:35, 2.73 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -6096,123 +14547,116 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 353/4257 [01:33<12:27, 5.23 examples/s]" + "Map (num_proc=16): 9%|▉ | 399/4257 [01:43<20:21, 3.16 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 355/4257 [01:33<11:56, 5.45 examples/s]" + "Map (num_proc=16): 9%|▉ | 401/4257 [01:44<16:29, 3.90 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 634\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 479\n", + "'location'\n", "'brazil scorers'\n", - "'str' object is not callable'brazil scorers'\n", - "\n" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 356/4257 [01:34<14:29, 4.49 examples/s]" + "Map (num_proc=16): 9%|▉ | 403/4257 [01:44<13:27, 4.78 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 554\n", - "'club team'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 9\n", + "'attendance'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 358/4257 [01:34<14:20, 4.53 examples/s]" + "Map (num_proc=16): 9%|▉ | 404/4257 [01:45<20:29, 3.13 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 8%|▊ | 361/4257 [01:34<09:07, 7.11 examples/s]" + "Map (num_proc=16): 10%|▉ | 405/4257 [01:45<21:48, 2.94 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 793\n", - "0\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'EEEERRRRRRR\n", - " 'str' object is not callable1077\n", - "\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()." + "EEEERRRRRRR 78\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▊ | 363/4257 [01:35<14:13, 4.56 examples/s]" + "Map (num_proc=16): 10%|▉ | 407/4257 [01:46<17:57, 3.57 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▊ | 366/4257 [01:35<12:11, 5.32 examples/s]" + "Map (num_proc=16): 10%|▉ | 409/4257 [01:46<14:44, 4.35 examples/s]" ] }, { @@ -6220,32 +14664,40 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1554\n", + "could not convert string to float: 'viewers'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 713\n", + "'[7, 8] not in index'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▊ | 368/4257 [01:36<12:03, 5.38 examples/s]" + "Map (num_proc=16): 10%|▉ | 411/4257 [01:46<16:45, 3.83 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers''brazil scorers'\n", + "\n", + "'str' object is not callable'str' object is not callable\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▊ | 371/4257 [01:36<11:55, 5.43 examples/s]" + "Map (num_proc=16): 10%|▉ | 412/4257 [01:47<17:55, 3.57 examples/s]" ] }, { @@ -6254,8 +14706,9 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1407\n", - "unterminated string literal (detected at line 1) (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5EEEERRRRRRR\n", + " 1407\n", + "'no'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -6265,16 +14718,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 373/4257 [01:37<12:07, 5.34 examples/s]" + "Map (num_proc=16): 10%|▉ | 415/4257 [01:47<13:27, 4.76 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 78\n", - "'year end ranking'\n", + "'brazil scorers'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'str' object is not callable\n", + "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -6282,34 +14735,38 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 374/4257 [01:37<15:03, 4.30 examples/s]" + "Map (num_proc=16): 10%|▉ | 417/4257 [01:47<12:00, 5.33 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 402\n", + "'best row 1'\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 375/4257 [01:37<14:26, 4.48 examples/s]" + "Map (num_proc=16): 10%|▉ | 418/4257 [01:48<11:24, 5.61 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 479\n", - "invalid literal for int() with base 10: 'w 96'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1081\n", + "'retired'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 9\n", + "'location'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -6317,44 +14774,55 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 380/4257 [01:38<09:18, 6.94 examples/s]" + "Map (num_proc=16): 10%|▉ | 419/4257 [01:49<22:12, 2.88 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 381/4257 [01:38<11:09, 5.79 examples/s]" + "Map (num_proc=16): 10%|▉ | 420/4257 [01:49<19:40, 3.25 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 479\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 896\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 159\n", + "Can only use .dt accessor with datetimelike values'brazil scorers'\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 382/4257 [01:38<10:30, 6.14 examples/s]" + "Map (num_proc=16): 10%|▉ | 421/4257 [01:49<21:39, 2.95 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 554\n", - "'team'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -6362,19 +14830,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 383/4257 [01:39<12:24, 5.20 examples/s]" + "Map (num_proc=16): 10%|▉ | 423/4257 [01:49<15:14, 4.19 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 157\n", - "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 634\n", - "could not convert string to float: '17.20 (122)'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -6382,7 +14844,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 384/4257 [01:39<15:58, 4.04 examples/s]" + "Map (num_proc=16): 10%|▉ | 424/4257 [01:50<17:13, 3.71 examples/s]" ] }, { @@ -6390,33 +14852,48 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 315\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 1245\n", + "invalid literal for int() with base 10: ' 3 ot'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 636\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 385/4257 [01:39<19:16, 3.35 examples/s]" + "Map (num_proc=16): 10%|▉ | 425/4257 [01:51<25:23, 2.51 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 8\n", - "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 238\n", + "unterminated string literal (detected at line 1) (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 794\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1554\n", + "'>' not supported between instances of 'str' and 'float'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 'brazil scorers'555\n", + "\n", + "'str' object is not callable'name'\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 386/4257 [01:40<19:07, 3.37 examples/s]" + "Map (num_proc=16): 10%|█ | 426/4257 [01:51<29:01, 2.20 examples/s]" ] }, { @@ -6424,34 +14901,34 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 895\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 387/4257 [01:40<19:13, 3.36 examples/s]" + "Map (num_proc=16): 10%|█ | 427/4257 [01:52<31:39, 2.02 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 'brazil scorers'402\n", + "\n", + "'str' object is not callable\"['best row 1'] not in index\"\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 390/4257 [01:41<15:26, 4.17 examples/s]" + "Map (num_proc=16): 10%|█ | 428/4257 [01:52<30:34, 2.09 examples/s]" ] }, { @@ -6459,11 +14936,7 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1245\n", - "invalid literal for int() with base 10: ' 3 ot'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 713\n", - "'no'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -6472,14 +14945,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 391/4257 [01:41<16:52, 3.82 examples/s]" + "Map (num_proc=16): 10%|█ | 429/4257 [01:53<30:10, 2.11 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 315\n", + "invalid syntax (, line 0)\n", + "EEEERRRRRRR 1082\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 713\n", + "'no'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -6489,16 +14970,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 392/4257 [01:41<17:25, 3.70 examples/s]" + "Map (num_proc=16): 10%|█ | 430/4257 [01:53<32:06, 1.99 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -6508,38 +14986,45 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 394/4257 [01:42<13:58, 4.61 examples/s]" + "Map (num_proc=16): 10%|█ | 431/4257 [01:53<27:00, 2.36 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 395/4257 [01:42<13:06, 4.91 examples/s]" + "Map (num_proc=16): 10%|█ | 432/4257 [01:54<26:03, 2.45 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1554Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "\"'rating'\"\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 898\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 79\n", + "list index out of range\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 396/4257 [01:42<17:12, 3.74 examples/s]" + "Map (num_proc=16): 10%|█ | 433/4257 [01:54<25:50, 2.47 examples/s]" ] }, { @@ -6548,63 +15033,57 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "EEEERRRRRRR'str' object is not callable 794\n", - "\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 397/4257 [01:43<23:56, 2.69 examples/s]" + "Map (num_proc=16): 10%|█ | 435/4257 [01:55<21:48, 2.92 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "unsupported operand type(s) for -: 'str' and 'str'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 402\n", - "'best row 1'\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR EEEERRRRRRR554 \n", - "238'DataFrame' object has no attribute 'college'\n", - "\n", - "() got an unexpected keyword argument 'axis'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 398/4257 [01:43<23:35, 2.73 examples/s]" + "Map (num_proc=16): 10%|█ | 438/4257 [01:55<12:45, 4.99 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 399/4257 [01:43<20:21, 3.16 examples/s]" + "Map (num_proc=16): 10%|█ | 439/4257 [01:55<12:00, 5.30 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -6614,19 +15093,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 401/4257 [01:44<16:29, 3.90 examples/s]" + "Map (num_proc=16): 10%|█ | 440/4257 [01:55<13:30, 4.71 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1407\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 479\n", - "'location'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -6635,7 +15112,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 403/4257 [01:44<13:27, 4.78 examples/s]" + "Map (num_proc=16): 10%|█ | 441/4257 [01:56<16:57, 3.75 examples/s]" ] }, { @@ -6643,23 +15120,30 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 159\n", + "can only concatenate str (not \"Timedelta\") to str\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 9\n", - "'attendance'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 9%|▉ | 404/4257 [01:45<20:29, 3.13 examples/s]" + "Map (num_proc=16): 10%|█ | 442/4257 [01:56<19:01, 3.34 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 636\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 795\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -6669,17 +15153,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 405/4257 [01:45<21:48, 2.94 examples/s]" + "Map (num_proc=16): 10%|█ | 443/4257 [01:57<21:08, 3.01 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 78\n", - "unterminated string literal (detected at line 1) (, line 1)\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -6687,7 +15169,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 407/4257 [01:46<17:57, 3.57 examples/s]" + "Map (num_proc=16): 10%|█ | 445/4257 [01:57<13:47, 4.61 examples/s]" ] }, { @@ -6698,6 +15180,7 @@ "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -6706,21 +15189,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 409/4257 [01:46<14:44, 4.35 examples/s]" + "Map (num_proc=16): 11%|█ | 447/4257 [01:57<13:01, 4.87 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1246\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1554\n", - "could not convert string to float: 'viewers'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 713\n", - "'[7, 8] not in index'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 9\n", + "'location'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -6729,7 +15210,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 411/4257 [01:46<16:45, 3.83 examples/s]" + "Map (num_proc=16): 11%|█ | 448/4257 [01:58<17:29, 3.63 examples/s]" ] }, { @@ -6737,17 +15218,19 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers''brazil scorers'\n", - "\n", - "'str' object is not callable'str' object is not callable\n", - "\n" + "EEEERRRRRRR 1554\n", + "'>=' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 713\n", + "name 'datetime' is not defined\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 412/4257 [01:47<17:55, 3.57 examples/s]" + "Map (num_proc=16): 11%|█ | 449/4257 [01:58<19:16, 3.29 examples/s]" ] }, { @@ -6756,9 +15239,17 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5EEEERRRRRRR\n", - " 1407\n", - "'no'\n", + "EEEERRRRRRR 79\n", + "invalid literal for int() with base 10: 'loss'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 402\n", + "'best row 1'\n", + "EEEERRRRRRR 1082\n", + "'>' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 238\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -6768,42 +15259,40 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 415/4257 [01:47<13:27, 4.76 examples/s]" + "Map (num_proc=16): 11%|█ | 450/4257 [01:59<30:44, 2.06 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 315\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'str' object is not callable\n", - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 417/4257 [01:47<12:00, 5.33 examples/s]" + "Map (num_proc=16): 11%|█ | 451/4257 [02:00<29:25, 2.16 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 402\n", - "'best row 1'\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 418/4257 [01:48<11:24, 5.61 examples/s]" + "Map (num_proc=16): 11%|█ | 452/4257 [02:00<26:25, 2.40 examples/s]" ] }, { @@ -6811,20 +15300,15 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1081\n", - "'retired'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 9\n", - "'location'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 419/4257 [01:49<22:12, 2.88 examples/s]" + "Map (num_proc=16): 11%|█ | 453/4257 [02:00<21:58, 2.88 examples/s]" ] }, { @@ -6840,73 +15324,85 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 420/4257 [01:49<19:40, 3.25 examples/s]" + "Map (num_proc=16): 11%|█ | 454/4257 [02:00<19:13, 3.30 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 479\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 896\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1554\n", + "'>' not supported between instances of 'str' and 'float'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 899\n", + "'international tourist arrivals (2010)'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 159\n", - "Can only use .dt accessor with datetimelike values'brazil scorers'\n", - "\n" + "EEEERRRRRRR 795\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "EEEERRRRRRR 9\n", + "'location'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "EEEERRRRRRR 555\n", + "'name'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1407\n", + "'>' not supported between instances of 'str' and 'float'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 421/4257 [01:49<21:39, 2.95 examples/s]" + "Map (num_proc=16): 11%|█ | 455/4257 [02:02<48:42, 1.30 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'str' object is not callable\n", + "EEEERRRRRRR 481\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 423/4257 [01:49<15:14, 4.19 examples/s]" + "Map (num_proc=16): 11%|█ | 456/4257 [02:03<42:33, 1.49 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 424/4257 [01:50<17:13, 3.71 examples/s]" + "Map (num_proc=16): 11%|█ | 458/4257 [02:03<24:43, 2.56 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1245\n", - "invalid literal for int() with base 10: ' 3 ot'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 636\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -6916,41 +15412,29 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|▉ | 425/4257 [01:51<25:23, 2.51 examples/s]" + "Map (num_proc=16): 11%|█ | 459/4257 [02:03<24:33, 2.58 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 238\n", - "unterminated string literal (detected at line 1) (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 794\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1554\n", - "'>' not supported between instances of 'str' and 'float'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 'brazil scorers'555\n", - "\n", - "'str' object is not callable'name'\n", - "\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 426/4257 [01:51<29:01, 2.20 examples/s]" + "Map (num_proc=16): 11%|█ | 460/4257 [02:03<22:37, 2.80 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -6960,7 +15444,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 427/4257 [01:52<31:39, 2.02 examples/s]" + "Map (num_proc=16): 11%|█ | 461/4257 [02:04<20:29, 3.09 examples/s]" ] }, { @@ -6968,24 +15452,26 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 'brazil scorers'402\n", - "\n", - "'str' object is not callable\"['best row 1'] not in index\"\n", - "\n" + "EEEERRRRRRR 79\n", + "'result'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 428/4257 [01:52<30:34, 2.09 examples/s]" + "Map (num_proc=16): 11%|█ | 462/4257 [02:04<22:05, 2.86 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1247\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -6995,38 +15481,36 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 429/4257 [01:53<30:10, 2.11 examples/s]" + "Map (num_proc=16): 11%|█ | 463/4257 [02:04<17:57, 3.52 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 315\n", - "invalid syntax (, line 0)\n", - "EEEERRRRRRR 1082\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 713\n", - "'no'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "'brazil scorers''brazil scorers'\n", + "\n", + "'str' object is not callable'str' object is not callable\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 430/4257 [01:53<32:06, 1.99 examples/s]" + "Map (num_proc=16): 11%|█ | 464/4257 [02:04<15:15, 4.14 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 402\n", + "'best row 2'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7036,7 +15520,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 431/4257 [01:53<27:00, 2.36 examples/s]" + "Map (num_proc=16): 11%|█ | 466/4257 [02:05<16:03, 3.93 examples/s]" ] }, { @@ -7044,6 +15528,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 9\n", + "'location'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -7052,19 +15538,20 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 432/4257 [01:54<26:03, 2.45 examples/s]" + "Map (num_proc=16): 11%|█ | 467/4257 [02:05<18:29, 3.42 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 636\n", + "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 898\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 79\n", - "list index out of range\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1085\n", + "'atp masters series'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7074,7 +15561,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 433/4257 [01:54<25:50, 2.47 examples/s]" + "Map (num_proc=16): 11%|█ | 468/4257 [02:06<28:01, 2.25 examples/s]" ] }, { @@ -7082,28 +15569,38 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR'brazil scorers' \n", + "795'str' object is not callable\n", + "\n", + "invalid syntax. Perhaps you forgot a comma? (, line 1)\n", + "EEEERRRRRRR 1407\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 159\n", + "'[' was never closed (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR " ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 435/4257 [01:55<21:48, 2.92 examples/s]" + "Map (num_proc=16): 11%|█ | 470/4257 [02:07<24:46, 2.55 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "1555\n", + "unterminated string literal (detected at line 1) (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 900\n", + "'year'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7113,37 +15610,43 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 438/4257 [01:55<12:45, 4.99 examples/s]" + "Map (num_proc=16): 11%|█ | 471/4257 [02:07<31:10, 2.02 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 439/4257 [01:55<12:00, 5.30 examples/s]" + "Map (num_proc=16): 11%|█ | 472/4257 [02:08<27:28, 2.30 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 713\n", + "positional indexers are out-of-bounds\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 440/4257 [01:55<13:30, 4.71 examples/s]" + "Map (num_proc=16): 11%|█ | 474/4257 [02:09<27:51, 2.26 examples/s]" ] }, { @@ -7151,27 +15654,36 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1407\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 9\n", + "'attendance'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "'brazil scorers''brazil scorers'\n", + "\n", + "'str' object is not callable'str' object is not callable\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 441/4257 [01:56<16:57, 3.75 examples/s]" + "Map (num_proc=16): 11%|█ | 475/4257 [02:09<29:40, 2.12 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 241\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "EEEERRRRRRR 1247\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 159\n", - "can only concatenate str (not \"Timedelta\") to str\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7181,19 +15693,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 442/4257 [01:56<19:01, 3.34 examples/s]" + "Map (num_proc=16): 11%|█ | 478/4257 [02:10<19:40, 3.20 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 636\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 795\n", - "unterminated string literal (detected at line 1) (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7203,32 +15709,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 443/4257 [01:57<21:08, 3.01 examples/s]" + "Map (num_proc=16): 11%|█▏ | 479/4257 [02:10<19:59, 3.15 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 316\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 10%|█ | 445/4257 [01:57<13:47, 4.61 examples/s]" + "Map (num_proc=16): 11%|█▏ | 480/4257 [02:10<17:16, 3.64 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -7239,28 +15744,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 447/4257 [01:57<13:01, 4.87 examples/s]" + "Map (num_proc=16): 11%|█▏ | 481/4257 [02:10<17:55, 3.51 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1246\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5EEEERRRRRRR\n", + " 555\n", + "'date died'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 9\n", - "'location'\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 1085\n", + "'annual win - loss'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 448/4257 [01:58<17:29, 3.63 examples/s]" + "Map (num_proc=16): 11%|█▏ | 482/4257 [02:11<22:42, 2.77 examples/s]" ] }, { @@ -7268,19 +15772,20 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1554\n", - "'>=' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 79\n", + "invalid literal for int() with base 10: 'loss'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 713\n", - "name 'datetime' is not defined\n" + "EEEERRRRRRR 795\n", + "invalid syntax. Perhaps you forgot a comma? (, line 1)\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 449/4257 [01:58<19:16, 3.29 examples/s]" + "Map (num_proc=16): 11%|█▏ | 483/4257 [02:12<25:15, 2.49 examples/s]" ] }, { @@ -7289,18 +15794,6 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 79\n", - "invalid literal for int() with base 10: 'loss'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 402\n", - "'best row 1'\n", - "EEEERRRRRRR 1082\n", - "'>' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 238\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -7309,7 +15802,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 450/4257 [01:59<30:44, 2.06 examples/s]" + "Map (num_proc=16): 11%|█▏ | 484/4257 [02:12<25:49, 2.43 examples/s]" ] }, { @@ -7317,8 +15810,18 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 315\n", - "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 636\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 482\n", + "nothing to repeat at position 0\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR EEEERRRRRRR9 \n", + "901'location'\n", + "\n", + "Cannot perform 'rand_' with a dtyped [bool] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7328,7 +15831,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 451/4257 [02:00<29:25, 2.16 examples/s]" + "Map (num_proc=16): 11%|█▏ | 486/4257 [02:13<30:43, 2.05 examples/s]" ] }, { @@ -7342,13 +15845,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 452/4257 [02:00<26:25, 2.40 examples/s]" + "Map (num_proc=16): 11%|█▏ | 487/4257 [02:13<28:12, 2.23 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 402\n", + "'best row 1'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7358,7 +15867,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 453/4257 [02:00<21:58, 2.88 examples/s]" + "Map (num_proc=16): 11%|█▏ | 489/4257 [02:14<24:58, 2.51 examples/s]" ] }, { @@ -7374,50 +15883,30 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 454/4257 [02:00<19:13, 3.30 examples/s]" + "Map (num_proc=16): 12%|█▏ | 490/4257 [02:15<25:18, 2.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1554\n", - "'>' not supported between instances of 'str' and 'float'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 899\n", - "'international tourist arrivals (2010)'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 795\n", - "unterminated string literal (detected at line 1) (, line 1)\n", - "EEEERRRRRRR 9\n", - "'location'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "EEEERRRRRRR 555\n", - "'name'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1407\n", - "'>' not supported between instances of 'str' and 'float'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 455/4257 [02:02<48:42, 1.30 examples/s]" + "Map (num_proc=16): 12%|█▏ | 492/4257 [02:15<19:40, 3.19 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 481\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7427,7 +15916,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 456/4257 [02:03<42:33, 1.49 examples/s]" + "Map (num_proc=16): 12%|█▏ | 493/4257 [02:15<17:19, 3.62 examples/s]" ] }, { @@ -7438,6 +15927,15 @@ "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1558\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 1085\n", + "'annual win - loss'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 9\n", + "single positional indexer is out-of-bounds\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -7446,45 +15944,56 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 458/4257 [02:03<24:43, 2.56 examples/s]" + "Map (num_proc=16): 12%|█▏ | 495/4257 [02:16<22:42, 2.76 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 459/4257 [02:03<24:33, 2.58 examples/s]" + "Map (num_proc=16): 12%|█▏ | 496/4257 [02:16<21:51, 2.87 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 79\n", + "invalid literal for int() with base 10: 'loss'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 460/4257 [02:03<22:37, 2.80 examples/s]" + "Map (num_proc=16): 12%|█▏ | 499/4257 [02:17<16:43, 3.75 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1409\n", + "invalid syntax (, line 0)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 159\n", + "invalid literal for int() with base 10: ''\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7494,16 +16003,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 461/4257 [02:04<20:29, 3.09 examples/s]" + "Map (num_proc=16): 12%|█▏ | 500/4257 [02:17<19:19, 3.24 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 79\n", - "'result'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7513,14 +16022,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 462/4257 [02:04<22:05, 2.86 examples/s]" + "Map (num_proc=16): 12%|█▏ | 502/4257 [02:18<17:58, 3.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1247\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1249\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 795\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 636\n", "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -7531,26 +16047,24 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 463/4257 [02:04<17:57, 3.52 examples/s]" + "Map (num_proc=16): 12%|█▏ | 503/4257 [02:19<26:35, 2.35 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers''brazil scorers'\n", - "\n", - "'str' object is not callable'str' object is not callable\n", - "\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 464/4257 [02:04<15:15, 4.14 examples/s]" + "Map (num_proc=16): 12%|█▏ | 505/4257 [02:19<20:19, 3.08 examples/s]" ] }, { @@ -7558,9 +16072,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 402\n", - "'best row 2'\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7570,38 +16083,34 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 466/4257 [02:05<16:03, 3.93 examples/s]" + "Map (num_proc=16): 12%|█▏ | 507/4257 [02:19<15:17, 4.09 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 317\n", + "'winner'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 9\n", - "'location'\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 467/4257 [02:05<18:29, 3.42 examples/s]" + "Map (num_proc=16): 12%|█▏ | 508/4257 [02:20<15:50, 3.94 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 636\n", - "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1088\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1085\n", - "'atp masters series'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7611,7 +16120,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 468/4257 [02:06<28:01, 2.25 examples/s]" + "Map (num_proc=16): 12%|█▏ | 510/4257 [02:20<13:35, 4.60 examples/s]" ] }, { @@ -7619,38 +16128,34 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR'brazil scorers' \n", - "795'str' object is not callable\n", - "\n", - "invalid syntax. Perhaps you forgot a comma? (, line 1)\n", - "EEEERRRRRRR 1407\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 716\n", + "'col'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 79\n", + "'str' object has no attribute 'min'\n", + "EEEERRRRRRR 9\n", + "'location'\n", + "EEEERRRRRRR 901\n", + "'attendance'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 159\n", - "'[' was never closed (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR " + "EEEERRRRRRR 482\n", + "nothing to repeat at position 0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 470/4257 [02:07<24:46, 2.55 examples/s]" + "Map (num_proc=16): 12%|█▏ | 511/4257 [02:21<28:38, 2.18 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "1555\n", - "unterminated string literal (detected at line 1) (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 900\n", - "'year'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7660,13 +16165,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 471/4257 [02:07<31:10, 2.02 examples/s]" + "Map (num_proc=16): 12%|█▏ | 512/4257 [02:22<27:52, 2.24 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'EEEERRRRRRR\n", + " 'str' object is not callable243\n", + "\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7676,27 +16187,29 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 472/4257 [02:08<27:28, 2.30 examples/s]" + "Map (num_proc=16): 12%|█▏ | 514/4257 [02:22<26:19, 2.37 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR EEEERRRRRRR402 \n", + "1249'best row 1'\n", + "\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 713\n", - "positional indexers are out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 474/4257 [02:09<27:51, 2.26 examples/s]" + "Map (num_proc=16): 12%|█▏ | 515/4257 [02:23<27:59, 2.23 examples/s]" ] }, { @@ -7704,37 +16217,39 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 9\n", - "'attendance'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers''brazil scorers'\n", - "\n", - "'str' object is not callable'str' object is not callable\n", - "\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 475/4257 [02:09<29:40, 2.12 examples/s]" + "Map (num_proc=16): 12%|█▏ | 516/4257 [02:23<23:39, 2.64 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1558\n", + "invalid syntax (, line 0)\n", "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 241\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "EEEERRRRRRR 1247\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 9\n", + "'location'\n", + "EEEERRRRRRR 1409\n", + "'location'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 160\n", + "'numpy.int64' object has no attribute 'equals'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 555\n", + "invalid syntax (, line 0)\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -7743,13 +16258,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█ | 478/4257 [02:10<19:40, 3.20 examples/s]" + "Map (num_proc=16): 12%|█▏ | 518/4257 [02:25<34:17, 1.82 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7759,15 +16275,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█▏ | 479/4257 [02:10<19:59, 3.15 examples/s]" + "Map (num_proc=16): 12%|█▏ | 519/4257 [02:25<30:50, 2.02 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 316\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7777,7 +16291,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█▏ | 480/4257 [02:10<17:16, 3.64 examples/s]" + "Map (num_proc=16): 12%|█▏ | 520/4257 [02:25<26:36, 2.34 examples/s]" ] }, { @@ -7785,6 +16299,11 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 317\n", + "invalid syntax. Perhaps you forgot a comma? (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 636\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7794,27 +16313,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█▏ | 481/4257 [02:10<17:55, 3.51 examples/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5EEEERRRRRRR\n", - " 555\n", - "'date died'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1085\n", - "'annual win - loss'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 11%|█▏ | 482/4257 [02:11<22:42, 2.77 examples/s]" + "Map (num_proc=16): 12%|█▏ | 521/4257 [02:26<37:09, 1.68 examples/s]" ] }, { @@ -7822,11 +16321,9 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 79\n", - "invalid literal for int() with base 10: 'loss'\n", + "EEEERRRRRRR 716\n", + "'col'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 795\n", - "invalid syntax. Perhaps you forgot a comma? (, line 1)\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -7835,14 +16332,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█▏ | 483/4257 [02:12<25:15, 2.49 examples/s]" + "Map (num_proc=16): 12%|█▏ | 522/4257 [02:27<31:09, 2.00 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -7852,27 +16348,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█▏ | 484/4257 [02:12<25:49, 2.43 examples/s]" + "Map (num_proc=16): 12%|█▏ | 523/4257 [02:27<24:16, 2.56 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 636\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 482\n", - "nothing to repeat at position 0\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR EEEERRRRRRR9 \n", - "901'location'\n", - "\n", + "EEEERRRRRRR 243\n", "Cannot perform 'rand_' with a dtyped [bool] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 795\n", + "invalid syntax. Perhaps you forgot a comma? (, line 1)\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -7881,68 +16372,76 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█▏ | 486/4257 [02:13<30:43, 2.05 examples/s]" + "Map (num_proc=16): 12%|█▏ | 525/4257 [02:27<20:58, 2.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers''brazil scorers'\n", + "\n", + "'str' object is not callable'str' object is not callable\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█▏ | 487/4257 [02:13<28:12, 2.23 examples/s]" + "Map (num_proc=16): 12%|█▏ | 526/4257 [02:28<20:35, 3.02 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 402\n", - "'best row 1'\n", + "EEEERRRRRRR 161\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'brazil scorers'\n", + "\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 11%|█▏ | 489/4257 [02:14<24:58, 2.51 examples/s]" + "Map (num_proc=16): 12%|█▏ | 529/4257 [02:28<16:33, 3.75 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 490/4257 [02:15<25:18, 2.48 examples/s]" + "Map (num_proc=16): 12%|█▏ | 531/4257 [02:29<14:45, 4.21 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1558\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 79\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -7950,7 +16449,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 492/4257 [02:15<19:40, 3.19 examples/s]" + "Map (num_proc=16): 12%|█▏ | 532/4257 [02:29<20:32, 3.02 examples/s]" ] }, { @@ -7966,7 +16465,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 493/4257 [02:15<17:19, 3.62 examples/s]" + "Map (num_proc=16): 13%|█▎ | 533/4257 [02:30<20:37, 3.01 examples/s]" ] }, { @@ -7977,15 +16476,6 @@ "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1558\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 1085\n", - "'annual win - loss'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 9\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -7994,7 +16484,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 495/4257 [02:16<22:42, 2.76 examples/s]" + "Map (num_proc=16): 13%|█▎ | 535/4257 [02:30<15:53, 3.90 examples/s]" ] }, { @@ -8008,41 +16498,42 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 496/4257 [02:16<21:51, 2.87 examples/s]" + "Map (num_proc=16): 13%|█▎ | 536/4257 [02:30<15:38, 3.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 79\n", - "invalid literal for int() with base 10: 'loss'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR'brazil scorers' \n", + "243'str' object is not callable\n", + "\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()." ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 499/4257 [02:17<16:43, 3.75 examples/s]" + "Map (num_proc=16): 13%|█▎ | 538/4257 [02:31<14:16, 4.34 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1409\n", - "invalid syntax (, line 0)\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 555\n", + "'name'\n", + "EEEERRRRRRR 483\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 1249\n", + "can only concatenate str (not \"int\") to str\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 159\n", - "invalid literal for int() with base 10: ''\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -8053,16 +16544,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 500/4257 [02:17<19:19, 3.24 examples/s]" + "Map (num_proc=16): 13%|█▎ | 539/4257 [02:31<20:40, 3.00 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 903\n", + "invalid literal for int() with base 10: 'w 112 '\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8072,7 +16563,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 502/4257 [02:18<17:58, 3.48 examples/s]" + "Map (num_proc=16): 13%|█▎ | 540/4257 [02:32<22:13, 2.79 examples/s]" ] }, { @@ -8080,50 +16571,61 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1249\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 795\n", - "unterminated string literal (detected at line 1) (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 636\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 402" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 503/4257 [02:19<26:35, 2.35 examples/s]" + "Map (num_proc=16): 13%|█▎ | 542/4257 [02:32<16:26, 3.77 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\n", + "'best row 1'\n", "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 505/4257 [02:19<20:19, 3.08 examples/s]" + "Map (num_proc=16): 13%|█▎ | 544/4257 [02:32<16:42, 3.70 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + " 1410\n", + "invalid syntax (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 13%|█▎ | 545/4257 [02:33<17:17, 3.58 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8133,33 +16635,49 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 507/4257 [02:19<15:17, 4.09 examples/s]" + "Map (num_proc=16): 13%|█▎ | 546/4257 [02:33<18:51, 3.28 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 317\n", - "'winner'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 161EEEERRRRRRR\n", + " The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().11\n", + "\n", + "Can only compare identically-labeled Series objects\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1560\n", + "invalid literal for int() with base 10: 'w'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 716\n", + "'city'\n", + "EEEERRRRRRREEEERRRRRRR 636317\n", + "\n", + "Can only use .dt accessor with datetimelike valuesunterminated string literal (detected at line 1) (, line 1)\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 508/4257 [02:20<15:50, 3.94 examples/s]" + "Map (num_proc=16): 13%|█▎ | 547/4257 [02:34<33:41, 1.84 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1088\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1093\n", + "'engine'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -8170,42 +16688,30 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 510/4257 [02:20<13:35, 4.60 examples/s]" + "Map (num_proc=16): 13%|█▎ | 548/4257 [02:35<27:34, 2.24 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 716\n", - "'col'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 79\n", - "'str' object has no attribute 'min'\n", - "EEEERRRRRRR 9\n", - "'location'\n", - "EEEERRRRRRR 901\n", - "'attendance'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 482\n", - "nothing to repeat at position 0\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 511/4257 [02:21<28:38, 2.18 examples/s]" + "Map (num_proc=16): 13%|█▎ | 550/4257 [02:35<22:10, 2.79 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8215,19 +16721,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 512/4257 [02:22<27:52, 2.24 examples/s]" + "Map (num_proc=16): 13%|█▎ | 551/4257 [02:35<20:51, 2.96 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'EEEERRRRRRR\n", - " 'str' object is not callable243\n", - "\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8237,7 +16737,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 514/4257 [02:22<26:19, 2.37 examples/s]" + "Map (num_proc=16): 13%|█▎ | 552/4257 [02:36<20:06, 3.07 examples/s]" ] }, { @@ -8245,9 +16745,12 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR EEEERRRRRRR402 \n", - "1249'best row 1'\n", - "\n", + "EEEERRRRRRR 795\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "EEEERRRRRRR 80\n", + "invalid literal for int() with base 10: 'pepsi center 15823'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1249\n", "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", @@ -8259,13 +16762,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 515/4257 [02:23<27:59, 2.23 examples/s]" + "Map (num_proc=16): 13%|█▎ | 553/4257 [02:37<36:38, 1.68 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 402\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8275,47 +16781,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 516/4257 [02:23<23:39, 2.64 examples/s]" + "Map (num_proc=16): 13%|█▎ | 554/4257 [02:37<31:56, 1.93 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1558\n", - "invalid syntax (, line 0)\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 9\n", - "'location'\n", - "EEEERRRRRRR 1409\n", - "'location'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 160\n", - "'numpy.int64' object has no attribute 'equals'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 555\n", - "invalid syntax (, line 0)\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 518/4257 [02:25<34:17, 1.82 examples/s]" + "Map (num_proc=16): 13%|█▎ | 555/4257 [02:38<31:38, 1.95 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8325,7 +16811,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 519/4257 [02:25<30:50, 2.02 examples/s]" + "Map (num_proc=16): 13%|█▎ | 556/4257 [02:38<25:16, 2.44 examples/s]" ] }, { @@ -8334,14 +16820,21 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers''brazil scorers'\n", + "\n", + "'str' object is not callable'str' object is not callable\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 520/4257 [02:25<26:36, 2.34 examples/s]" + "Map (num_proc=16): 13%|█▎ | 559/4257 [02:38<13:01, 4.73 examples/s]" ] }, { @@ -8349,11 +16842,7 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 317\n", - "invalid syntax. Perhaps you forgot a comma? (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 636\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8363,26 +16852,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 521/4257 [02:26<37:09, 1.68 examples/s]" + "Map (num_proc=16): 13%|█▎ | 561/4257 [02:39<13:20, 4.62 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 716\n", - "'col'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 522/4257 [02:27<31:09, 2.00 examples/s]" + "Map (num_proc=16): 13%|█▎ | 562/4257 [02:39<15:24, 4.00 examples/s]" ] }, { @@ -8398,7 +16882,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 523/4257 [02:27<24:16, 2.56 examples/s]" + "Map (num_proc=16): 13%|█▎ | 563/4257 [02:39<17:25, 3.53 examples/s]" ] }, { @@ -8408,21 +16892,16 @@ "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 243\n", - "Cannot perform 'rand_' with a dtyped [bool] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 795\n", - "invalid syntax. Perhaps you forgot a comma? (, line 1)\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 555\n", + "'dates'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 525/4257 [02:27<20:58, 2.97 examples/s]" + "Map (num_proc=16): 13%|█▎ | 565/4257 [02:40<12:44, 4.83 examples/s]" ] }, { @@ -8431,67 +16910,76 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers''brazil scorers'\n", - "\n", - "'str' object is not callable'str' object is not callable\n", - "\n" + "EEEERRRRRRR 483\n", + "'<' not supported between instances of 'str' and 'int'\n", + "EEEERRRRRRR 163\n", + "unsupported operand type(s) for -: 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 526/4257 [02:28<20:35, 3.02 examples/s]" + "Map (num_proc=16): 13%|█▎ | 566/4257 [02:40<14:22, 4.28 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 161\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'brazil scorers'\n", - "\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n" + "EEEERRRRRRR 1096\n", + "'no'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 529/4257 [02:28<16:33, 3.75 examples/s]" + "Map (num_proc=16): 13%|█▎ | 567/4257 [02:40<14:31, 4.24 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 531/4257 [02:29<14:45, 4.21 examples/s]" + "Map (num_proc=16): 13%|█▎ | 568/4257 [02:40<14:09, 4.34 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 903\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 795\n", + "unmatched ')' (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1558\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 318\n", "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 79\n", + "EEEERRRRRRR 244\n", "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 1249\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -8499,13 +16987,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 12%|█▏ | 532/4257 [02:29<20:32, 3.02 examples/s]" + "Map (num_proc=16): 13%|█▎ | 570/4257 [02:41<20:50, 2.95 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8515,15 +17006,37 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 533/4257 [02:30<20:37, 3.01 examples/s]" + "Map (num_proc=16): 13%|█▎ | 572/4257 [02:42<17:19, 3.55 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 80\n", + "invalid literal for int() with base 10: 'pepsi center 15823'\n", "'brazil scorers'\n", - "'str' object is not callable\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 13%|█▎ | 573/4257 [02:42<20:14, 3.03 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 716\n", + "'city'\n", + "EEEERRRRRRR 1562\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -8534,56 +17047,51 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 535/4257 [02:30<15:53, 3.90 examples/s]" + "Map (num_proc=16): 13%|█▎ | 574/4257 [02:43<24:26, 2.51 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 536/4257 [02:30<15:38, 3.97 examples/s]" + "Map (num_proc=16): 14%|█▎ | 575/4257 [02:43<21:33, 2.85 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 403\n", + "'writer(s)'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR'brazil scorers' \n", - "243'str' object is not callable\n", - "\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()." + "EEEERRRRRRR 637\n", + "'mile high stadium'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 538/4257 [02:31<14:16, 4.34 examples/s]" + "Map (num_proc=16): 14%|█▎ | 576/4257 [02:44<25:19, 2.42 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 555\n", - "'name'\n", - "EEEERRRRRRR 483\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 1249\n", - "can only concatenate str (not \"int\") to str\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -8594,7 +17102,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 539/4257 [02:31<20:40, 3.00 examples/s]" + "Map (num_proc=16): 14%|█▎ | 578/4257 [02:44<18:00, 3.40 examples/s]" ] }, { @@ -8602,8 +17110,6 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 903\n", - "invalid literal for int() with base 10: 'w 112 '\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8613,7 +17119,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 540/4257 [02:32<22:13, 2.79 examples/s]" + "Map (num_proc=16): 14%|█▎ | 580/4257 [02:44<14:23, 4.26 examples/s]" ] }, { @@ -8621,45 +17127,41 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1249\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 402" + "EEEERRRRRRR 483\n", + "'>' not supported between instances of 'str' and 'int''brazil scorers'\n", + "\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 542/4257 [02:32<16:26, 3.77 examples/s]" + "Map (num_proc=16): 14%|█▎ | 581/4257 [02:45<17:22, 3.53 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "'best row 1'\n", - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 544/4257 [02:32<16:42, 3.70 examples/s]" + "Map (num_proc=16): 14%|█▎ | 582/4257 [02:45<16:44, 3.66 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 1410\n", - "invalid syntax (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8669,13 +17171,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 545/4257 [02:33<17:17, 3.58 examples/s]" + "Map (num_proc=16): 14%|█▎ | 583/4257 [02:45<14:08, 4.33 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1096\n", + "'no'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8685,50 +17190,33 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 546/4257 [02:33<18:51, 3.28 examples/s]" + "Map (num_proc=16): 14%|█▎ | 584/4257 [02:45<17:30, 3.50 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 161EEEERRRRRRR\n", - " The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().11\n", - "\n", - "Can only compare identically-labeled Series objects\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1560\n", - "invalid literal for int() with base 10: 'w'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 716\n", - "'city'\n", - "EEEERRRRRRREEEERRRRRRR 636317\n", - "\n", - "Can only use .dt accessor with datetimelike valuesunterminated string literal (detected at line 1) (, line 1)\n", - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 547/4257 [02:34<33:41, 1.84 examples/s]" + "Map (num_proc=16): 14%|█▎ | 585/4257 [02:46<15:49, 3.87 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1093\n", - "'engine'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 244\n", + "Could not convert string '12.14 (86)18.14 (122)' to numeric\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 905\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8738,7 +17226,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 548/4257 [02:35<27:34, 2.24 examples/s]" + "Map (num_proc=16): 14%|█▍ | 586/4257 [02:46<20:05, 3.05 examples/s]" ] }, { @@ -8755,7 +17243,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 550/4257 [02:35<22:10, 2.79 examples/s]" + "Map (num_proc=16): 14%|█▍ | 588/4257 [02:46<13:45, 4.45 examples/s]" ] }, { @@ -8763,15 +17251,21 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRREEEERRRRRRR 1410164\n", + "\n", + "invalid syntax (, line 1)single positional indexer is out-of-bounds\n", + "\n", + "'brazil scorers''brazil scorers'\n", + "\n", + "'str' object is not callable'str' object is not callable\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 551/4257 [02:35<20:51, 2.96 examples/s]" + "Map (num_proc=16): 14%|█▍ | 589/4257 [02:47<14:26, 4.24 examples/s]" ] }, { @@ -8780,6 +17274,12 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "'brazil scorers'\n", "'str' object is not callable\n" ] }, @@ -8787,65 +17287,55 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 552/4257 [02:36<20:06, 3.07 examples/s]" + "Map (num_proc=16): 14%|█▍ | 592/4257 [02:47<11:01, 5.54 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 795\n", - "unterminated string literal (detected at line 1) (, line 1)\n", - "EEEERRRRRRR 80\n", - "invalid literal for int() with base 10: 'pepsi center 15823'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1249\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 553/4257 [02:37<36:38, 1.68 examples/s]" + "Map (num_proc=16): 14%|█▍ | 593/4257 [02:47<12:55, 4.73 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 402\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 1249\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 554/4257 [02:37<31:56, 1.93 examples/s]" + "Map (num_proc=16): 14%|█▍ | 594/4257 [02:48<16:51, 3.62 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 555/4257 [02:38<31:38, 1.95 examples/s]" + "Map (num_proc=16): 14%|█▍ | 596/4257 [02:48<15:56, 3.83 examples/s]" ] }, { @@ -8853,15 +17343,19 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 556\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1562\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 556/4257 [02:38<25:16, 2.44 examples/s]" + "Map (num_proc=16): 14%|█▍ | 598/4257 [02:49<16:42, 3.65 examples/s]" ] }, { @@ -8869,22 +17363,23 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers''brazil scorers'\n", + "EEEERRRRRRREEEERRRRRRR 795\n", + "318invalid syntax. Perhaps you forgot a comma? (, line 1)\n", "\n", - "'str' object is not callable'str' object is not callable\n", - "\n" + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 717\n", + "could not convert string to float: '05.03.80'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 559/4257 [02:38<13:01, 4.73 examples/s]" + "Map (num_proc=16): 14%|█▍ | 599/4257 [02:50<27:13, 2.24 examples/s]" ] }, { @@ -8892,7 +17387,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 81\n", + "'raymond felton'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -8902,21 +17398,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 561/4257 [02:39<13:20, 4.62 examples/s]" + "Map (num_proc=16): 14%|█▍ | 600/4257 [02:50<25:26, 2.40 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 562/4257 [02:39<15:24, 4.00 examples/s]" + "Map (num_proc=16): 14%|█▍ | 601/4257 [02:50<21:31, 2.83 examples/s]" ] }, { @@ -8924,46 +17422,41 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 563/4257 [02:39<17:25, 3.53 examples/s]" + "Map (num_proc=16): 14%|█▍ | 603/4257 [02:51<15:20, 3.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 637\n", + "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 555\n", - "'dates'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 565/4257 [02:40<12:44, 4.83 examples/s]" + "Map (num_proc=16): 14%|█▍ | 604/4257 [02:51<17:33, 3.47 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 483\n", - "'<' not supported between instances of 'str' and 'int'\n", - "EEEERRRRRRR 163\n", - "unsupported operand type(s) for -: 'str' and 'int'\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -8974,29 +17467,29 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 566/4257 [02:40<14:22, 4.28 examples/s]" + "Map (num_proc=16): 14%|█▍ | 606/4257 [02:51<13:46, 4.42 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1096\n", - "'no'\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 567/4257 [02:40<14:31, 4.24 examples/s]" + "Map (num_proc=16): 14%|█▍ | 607/4257 [02:52<13:20, 4.56 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1249\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -9007,37 +17500,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 568/4257 [02:40<14:09, 4.34 examples/s]" + "Map (num_proc=16): 14%|█▍ | 608/4257 [02:52<13:52, 4.38 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 903\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 795\n", - "unmatched ')' (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRREEEERRRRRRR 14905\n", + "\n", + "left side of interval must be <= right side'>' not supported between instances of 'str' and 'int'\n", + "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 318\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 244\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 1249\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 570/4257 [02:41<20:50, 2.95 examples/s]" + "Map (num_proc=16): 14%|█▍ | 611/4257 [02:52<13:14, 4.59 examples/s]" ] }, { @@ -9056,7 +17543,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 572/4257 [02:42<17:19, 3.55 examples/s]" + "Map (num_proc=16): 14%|█▍ | 613/4257 [02:53<11:46, 5.16 examples/s]" ] }, { @@ -9064,68 +17551,85 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 80\n", - "invalid literal for int() with base 10: 'pepsi center 15823'\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1100\n", + "'attorney general'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 573/4257 [02:42<20:14, 3.03 examples/s]" + "Map (num_proc=16): 14%|█▍ | 616/4257 [02:53<11:23, 5.33 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "'brazil scorers'" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 15%|█▍ | 618/4257 [02:53<09:58, 6.08 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 716\n", - "'city'\n", - "EEEERRRRRRR 1562\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "'brazil scorers'EEEERRRRRRR\n", + " 'str' object is not callable81\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 13%|█▎ | 574/4257 [02:43<24:26, 2.51 examples/s]" + "Map (num_proc=16): 15%|█▍ | 621/4257 [02:54<10:05, 6.01 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Could not convert string 'raymond felton (23)stephen jackson (30)stephen jackson (26)stephen jackson (22)stephen jackson (33)gerald wallace (21)stephen jackson (29)stephen jackson (35)gerald wallace (32)gerald wallace (27)' to numeric\n", + "EEEERRRRRRR 404\n", + "'location'\n", + "EEEERRRRRRR 796\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▎ | 575/4257 [02:43<21:33, 2.85 examples/s]" + "Map (num_proc=16): 15%|█▍ | 622/4257 [02:54<11:57, 5.07 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 403\n", - "'writer(s)'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 637\n", - "'mile high stadium'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -9133,26 +17637,28 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▎ | 576/4257 [02:44<25:19, 2.42 examples/s]" + "Map (num_proc=16): 15%|█▍ | 623/4257 [02:55<12:03, 5.03 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 1563\n", + "'total score'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 556\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▎ | 578/4257 [02:44<18:00, 3.40 examples/s]" + "Map (num_proc=16): 15%|█▍ | 625/4257 [02:55<13:21, 4.53 examples/s]" ] }, { @@ -9160,7 +17666,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 165\n", + "Can only compare identically-labeled Series objects\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -9169,7 +17676,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▎ | 580/4257 [02:44<14:23, 4.26 examples/s]" + "Map (num_proc=16): 15%|█▍ | 626/4257 [02:55<15:26, 3.92 examples/s]" ] }, { @@ -9177,12 +17684,11 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1249\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 483\n", - "'>' not supported between instances of 'str' and 'int''brazil scorers'\n", - "\n", + "EEEERRRRRRR 244\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", "'str' object is not callable\n" ] }, @@ -9190,13 +17696,18 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▎ | 581/4257 [02:45<17:22, 3.53 examples/s]" + "Map (num_proc=16): 15%|█▍ | 627/4257 [02:56<18:01, 3.36 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 485\n", + "'winner'\n", + "EEEERRRRRRR 1410\n", + "'date | time | score | set 1 | set 2 | set 3 | total'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -9205,7 +17716,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▎ | 582/4257 [02:45<16:44, 3.66 examples/s]" + "Map (num_proc=16): 15%|█▍ | 628/4257 [02:56<18:19, 3.30 examples/s]" ] }, { @@ -9213,24 +17724,23 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "'brazil scorers'" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▎ | 583/4257 [02:45<14:08, 4.33 examples/s]" + "Map (num_proc=16): 15%|█▍ | 629/4257 [02:56<17:28, 3.46 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1096\n", - "'no'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -9240,33 +17750,32 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▎ | 584/4257 [02:45<17:30, 3.50 examples/s]" + "Map (num_proc=16): 15%|█▍ | 631/4257 [02:57<17:39, 3.42 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▎ | 585/4257 [02:46<15:49, 3.87 examples/s]" + "Map (num_proc=16): 15%|█▍ | 633/4257 [02:57<12:24, 4.87 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 244\n", - "Could not convert string '12.14 (86)18.14 (122)' to numeric\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 905\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -9276,16 +17785,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 586/4257 [02:46<20:05, 3.05 examples/s]" + "Map (num_proc=16): 15%|█▍ | 634/4257 [02:57<11:17, 5.35 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -9293,29 +17799,24 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 588/4257 [02:46<13:45, 4.45 examples/s]" + "Map (num_proc=16): 15%|█▍ | 635/4257 [02:58<13:25, 4.50 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 906\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRREEEERRRRRRR 1410164\n", - "\n", - "invalid syntax (, line 1)single positional indexer is out-of-bounds\n", - "\n", - "'brazil scorers''brazil scorers'\n", - "\n", - "'str' object is not callable'str' object is not callable\n", - "\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 589/4257 [02:47<14:26, 4.24 examples/s]" + "Map (num_proc=16): 15%|█▍ | 636/4257 [02:58<13:36, 4.43 examples/s]" ] }, { @@ -9323,12 +17824,9 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 717\n", + "could not convert string to float: '50.56.8'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -9337,21 +17835,24 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 592/4257 [02:47<11:01, 5.54 examples/s]" + "Map (num_proc=16): 15%|█▍ | 637/4257 [02:58<19:17, 3.13 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 593/4257 [02:47<12:55, 4.73 examples/s]" + "Map (num_proc=16): 15%|█▌ | 639/4257 [02:59<15:06, 3.99 examples/s]" ] }, { @@ -9359,8 +17860,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1249\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 404\n", + "'location'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -9368,7 +17869,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 594/4257 [02:48<16:51, 3.62 examples/s]" + "Map (num_proc=16): 15%|█▌ | 640/4257 [02:59<13:12, 4.56 examples/s]" ] }, { @@ -9377,6 +17878,8 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 796\n", + "'>=' not supported between instances of 'str' and 'int'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -9385,43 +17888,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 596/4257 [02:48<15:56, 3.83 examples/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 556\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1562\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 14%|█▍ | 598/4257 [02:49<16:42, 3.65 examples/s]" + "Map (num_proc=16): 15%|█▌ | 642/4257 [02:59<12:07, 4.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRREEEERRRRRRR 795\n", - "318invalid syntax. Perhaps you forgot a comma? (, line 1)\n", - "\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 717\n", - "could not convert string to float: '05.03.80'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -9429,16 +17906,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 599/4257 [02:50<27:13, 2.24 examples/s]" + "Map (num_proc=16): 15%|█▌ | 644/4257 [03:00<12:32, 4.80 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 81\n", - "'raymond felton'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -9448,7 +17925,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 600/4257 [02:50<25:26, 2.40 examples/s]" + "Map (num_proc=16): 15%|█▌ | 646/4257 [03:00<12:13, 4.92 examples/s]" ] }, { @@ -9456,15 +17933,14 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 601/4257 [02:50<21:31, 2.83 examples/s]" + "Map (num_proc=16): 15%|█▌ | 648/4257 [03:00<11:37, 5.17 examples/s]" ] }, { @@ -9472,24 +17948,27 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 485\n", + "'winner'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 603/4257 [02:51<15:20, 3.97 examples/s]" + "Map (num_proc=16): 15%|█▌ | 649/4257 [03:01<13:13, 4.55 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 637\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 322\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -9498,15 +17977,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 604/4257 [02:51<17:33, 3.47 examples/s]" + "Map (num_proc=16): 15%|█▌ | 650/4257 [03:01<12:05, 4.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 1103\n", + "'location'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 81\n", + "'raymond felton'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1564\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 14\n", + "'(' was never closed (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 166\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "EEEERRRRRRR 244\n", + "Cannot perform 'ror_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -9517,7 +18012,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 606/4257 [02:51<13:46, 4.42 examples/s]" + "Map (num_proc=16): 15%|█▌ | 651/4257 [03:02<21:26, 2.80 examples/s]" ] }, { @@ -9531,26 +18026,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 607/4257 [02:52<13:20, 4.56 examples/s]" + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1249\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 638\n", + "Can only use .str accessor with string values!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 608/4257 [02:52<13:52, 4.38 examples/s]" + "Map (num_proc=16): 15%|█▌ | 652/4257 [03:02<24:49, 2.42 examples/s]" ] }, { @@ -9558,42 +18049,43 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRREEEERRRRRRR 14905\n", - "\n", - "left side of interval must be <= right side'>' not supported between instances of 'str' and 'int'\n", - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 404\n", + "invalid literal for int() with base 10: 'l 100'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR'str' object is not callable \n", + "556" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 611/4257 [02:52<13:14, 4.59 examples/s]" + "Map (num_proc=16): 15%|█▌ | 654/4257 [03:03<22:54, 2.62 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 1410\n", + "invalid syntax (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 613/4257 [02:53<11:46, 5.16 examples/s]" + "Map (num_proc=16): 15%|█▌ | 655/4257 [03:03<24:03, 2.49 examples/s]" ] }, { @@ -9602,70 +18094,59 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1100\n", - "'attorney general'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 14%|█▍ | 616/4257 [02:53<11:23, 5.33 examples/s]" + "Map (num_proc=16): 15%|█▌ | 656/4257 [03:04<21:54, 2.74 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "'brazil scorers'" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 618/4257 [02:53<09:58, 6.08 examples/s]" + "Map (num_proc=16): 15%|█▌ | 657/4257 [03:04<19:31, 3.07 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", + "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1104\n", + "invalid literal for int() with base 10: 'l 99 '\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'EEEERRRRRRR\n", - " 'str' object is not callable81\n", - "\n" + "EEEERRRRRRR 1251\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 621/4257 [02:54<10:05, 6.01 examples/s]" + "Map (num_proc=16): 15%|█▌ | 659/4257 [03:05<22:01, 2.72 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Could not convert string 'raymond felton (23)stephen jackson (30)stephen jackson (26)stephen jackson (22)stephen jackson (33)gerald wallace (21)stephen jackson (29)stephen jackson (35)gerald wallace (32)gerald wallace (27)' to numeric\n", - "EEEERRRRRRR 404\n", - "'location'\n", - "EEEERRRRRRR 796\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -9673,42 +18154,42 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 622/4257 [02:54<11:57, 5.07 examples/s]" + "Map (num_proc=16): 16%|█▌ | 660/4257 [03:05<21:11, 2.83 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 623/4257 [02:55<12:03, 5.03 examples/s]" + "Map (num_proc=16): 16%|█▌ | 661/4257 [03:05<21:18, 2.81 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1563\n", - "'total score'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 796\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 556\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 625/4257 [02:55<13:21, 4.53 examples/s]" + "Map (num_proc=16): 16%|█▌ | 662/4257 [03:06<22:40, 2.64 examples/s]" ] }, { @@ -9716,8 +18197,7 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 165\n", - "Can only compare identically-labeled Series objects\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -9726,7 +18206,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 626/4257 [02:55<15:26, 3.92 examples/s]" + "Map (num_proc=16): 16%|█▌ | 664/4257 [03:06<15:20, 3.90 examples/s]" ] }, { @@ -9734,39 +18214,39 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 244\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR'brazil scorers' \n", + "717'str' object is not callable\n", + "\n", + "'time'" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 627/4257 [02:56<18:01, 3.36 examples/s]" + "Map (num_proc=16): 16%|█▌ | 667/4257 [03:07<13:46, 4.35 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 485\n", - "'winner'\n", - "EEEERRRRRRR 1410\n", - "'date | time | score | set 1 | set 2 | set 3 | total'\n", + "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 628/4257 [02:56<18:19, 3.30 examples/s]" + "Map (num_proc=16): 16%|█▌ | 668/4257 [03:07<15:03, 3.97 examples/s]" ] }, { @@ -9774,68 +18254,71 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 629/4257 [02:56<17:28, 3.46 examples/s]" + "Map (num_proc=16): 16%|█▌ | 669/4257 [03:07<15:05, 3.96 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 486\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1567\n", + "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 911\n", + "'winner / nominee(s)'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 631/4257 [02:57<17:39, 3.42 examples/s]" + "Map (num_proc=16): 16%|█▌ | 671/4257 [03:08<19:25, 3.08 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 633/4257 [02:57<12:24, 4.87 examples/s]" + "Map (num_proc=16): 16%|█▌ | 673/4257 [03:08<15:20, 3.89 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 634/4257 [02:57<11:17, 5.35 examples/s]" + "Map (num_proc=16): 16%|█▌ | 675/4257 [03:09<12:58, 4.60 examples/s]" ] }, { @@ -9849,24 +18332,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 635/4257 [02:58<13:25, 4.50 examples/s]" + "Map (num_proc=16): 16%|█▌ | 676/4257 [03:09<14:03, 4.24 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 906\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 636/4257 [02:58<13:36, 4.43 examples/s]" + "Map (num_proc=16): 16%|█▌ | 677/4257 [03:09<14:56, 3.99 examples/s]" ] }, { @@ -9874,27 +18356,27 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 717\n", - "could not convert string to float: '50.56.8'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "'brazil scorers'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▍ | 637/4257 [02:58<19:17, 3.13 examples/s]" + "Map (num_proc=16): 16%|█▌ | 678/4257 [03:10<13:37, 4.38 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", "'str' object is not callable\n" ] }, @@ -9902,34 +18384,53 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 639/4257 [02:59<15:06, 3.99 examples/s]" + "Map (num_proc=16): 16%|█▌ | 681/4257 [03:10<10:01, 5.95 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 244\n", + "invalid syntax (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 404\n", - "'location'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 638\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 82\n", + "'games'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 796\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 556\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 322\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 640/4257 [02:59<13:12, 4.56 examples/s]" + "Map (num_proc=16): 16%|█▌ | 682/4257 [03:11<20:18, 2.93 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 796\n", - "'>=' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1252\n", + "'swim'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -9938,16 +18439,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 642/4257 [02:59<12:07, 4.97 examples/s]" + "Map (num_proc=16): 16%|█▌ | 685/4257 [03:11<15:46, 3.77 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -9956,26 +18454,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 644/4257 [03:00<12:32, 4.80 examples/s]" + "Map (num_proc=16): 16%|█▌ | 686/4257 [03:12<16:14, 3.66 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 646/4257 [03:00<12:13, 4.92 examples/s]" + "Map (num_proc=16): 16%|█▌ | 687/4257 [03:12<16:59, 3.50 examples/s]" ] }, { @@ -9983,6 +18476,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1570\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -9990,7 +18485,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 648/4257 [03:00<11:37, 5.17 examples/s]" + "Map (num_proc=16): 16%|█▌ | 688/4257 [03:13<23:50, 2.49 examples/s]" ] }, { @@ -9998,60 +18493,38 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 485\n", - "'winner'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 405\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 649/4257 [03:01<13:13, 4.55 examples/s]" + "Map (num_proc=16): 16%|█▌ | 689/4257 [03:13<26:14, 2.27 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 322\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 650/4257 [03:01<12:05, 4.97 examples/s]" + "Map (num_proc=16): 16%|█▌ | 690/4257 [03:14<23:22, 2.54 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1103\n", - "'location'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 81\n", - "'raymond felton'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1564\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 14\n", - "'(' was never closed (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "EEEERRRRRRR 166\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "EEEERRRRRRR 244\n", - "Cannot perform 'ror_' with a dtyped [object] array and scalar of type [bool]\n", + "could not convert string to float: '1:46.75'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -10062,72 +18535,75 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 651/4257 [03:02<21:26, 2.80 examples/s]" + "Map (num_proc=16): 16%|█▌ | 691/4257 [03:14<21:24, 2.78 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 718\n", + "'date'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" + "Map (num_proc=16): 16%|█▋ | 692/4257 [03:14<23:19, 2.55 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 638\n", - "Can only use .str accessor with string values!\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 652/4257 [03:02<24:49, 2.42 examples/s]" + "Map (num_proc=16): 16%|█▋ | 693/4257 [03:15<21:10, 2.81 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", + "\n", "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 404\n", - "invalid literal for int() with base 10: 'l 100'\n", + "'brazil scorers'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'str' object is not callable\n", + "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "EEEERRRRRRR'str' object is not callable \n", - "556" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 654/4257 [03:03<22:54, 2.62 examples/s]" + "Map (num_proc=16): 16%|█▋ | 696/4257 [03:15<10:47, 5.50 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "EEEERRRRRRR 1410\n", - "invalid syntax (, line 1)\n", + "'>=' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -10135,7 +18611,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 655/4257 [03:03<24:03, 2.49 examples/s]" + "Map (num_proc=16): 16%|█▋ | 698/4257 [03:15<10:35, 5.60 examples/s]" ] }, { @@ -10151,13 +18627,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 656/4257 [03:04<21:54, 2.74 examples/s]" + "Map (num_proc=16): 16%|█▋ | 699/4257 [03:15<10:30, 5.64 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 557\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -10167,36 +18647,36 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 657/4257 [03:04<19:31, 3.07 examples/s]" + "Map (num_proc=16): 16%|█▋ | 701/4257 [03:16<14:50, 4.00 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 83\n", + "'deleted row'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1104\n", - "invalid literal for int() with base 10: 'l 99 '\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1251\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 15%|█▌ | 659/4257 [03:05<22:01, 2.72 examples/s]" + "Map (num_proc=16): 17%|█▋ | 703/4257 [03:17<14:11, 4.17 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -10204,7 +18684,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 660/4257 [03:05<21:11, 2.83 examples/s]" + "Map (num_proc=16): 17%|█▋ | 705/4257 [03:17<12:42, 4.66 examples/s]" ] }, { @@ -10212,34 +18692,36 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 17\n", + "invalid literal for int() with base 10: '6 - 4 '\n", + "'brazil scorers'" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 661/4257 [03:05<21:18, 2.81 examples/s]" + "Map (num_proc=16): 17%|█▋ | 707/4257 [03:17<10:39, 5.55 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 796\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 662/4257 [03:06<22:40, 2.64 examples/s]" + "Map (num_proc=16): 17%|█▋ | 710/4257 [03:17<08:05, 7.31 examples/s]" ] }, { @@ -10247,6 +18729,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 245\n", + "'us open'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -10256,63 +18740,64 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 664/4257 [03:06<15:20, 3.90 examples/s]" + "Map (num_proc=16): 17%|█▋ | 711/4257 [03:18<11:49, 5.00 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1570\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR'brazil scorers' \n", - "717'str' object is not callable\n", - "\n", - "'time'" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 667/4257 [03:07<13:46, 4.35 examples/s]" + "Map (num_proc=16): 17%|█▋ | 712/4257 [03:18<15:14, 3.88 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", + "EEEERRRRRRR 1109\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 1253\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 322\n", + "Out of bounds nanosecond timestamp: march 31, at position 0\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 668/4257 [03:07<15:03, 3.97 examples/s]" + "Map (num_proc=16): 17%|█▋ | 713/4257 [03:19<18:05, 3.27 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 640\n", + "'This is our God'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 669/4257 [03:07<15:05, 3.96 examples/s]" + "Map (num_proc=16): 17%|█▋ | 714/4257 [03:19<20:26, 2.89 examples/s]" ] }, { @@ -10320,76 +18805,88 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 486\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1567\n", - "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 911\n", - "'winner / nominee(s)'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 671/4257 [03:08<19:25, 3.08 examples/s]" + "Map (num_proc=16): 17%|█▋ | 715/4257 [03:20<19:52, 2.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 487\n", + "invalid literal for int() with base 10: 'w'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 405\n", + "single positional indexer is out-of-bounds\n", + "EEEERRRRRRR 913\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "'brazil scorers'\n", + "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 673/4257 [03:08<15:20, 3.89 examples/s]" + "Map (num_proc=16): 17%|█▋ | 716/4257 [03:20<19:30, 3.03 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 718\n", + "'Name'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 675/4257 [03:09<12:58, 4.60 examples/s]" + "Map (num_proc=16): 17%|█▋ | 717/4257 [03:20<21:42, 2.72 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'EEEERRRRRRR\n", + "'brazil scorers' 'str' object is not callable\n", + "797\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 676/4257 [03:09<14:03, 4.24 examples/s]" + "Map (num_proc=16): 17%|█▋ | 718/4257 [03:21<22:00, 2.68 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'str' object is not callable\n", + "\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -10398,7 +18895,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 677/4257 [03:09<14:56, 3.99 examples/s]" + "Map (num_proc=16): 17%|█▋ | 720/4257 [03:21<15:41, 3.76 examples/s]" ] }, { @@ -10406,25 +18903,30 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n" + "EEEERRRRRRR 83\n", + "'deleted row'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 678/4257 [03:10<13:37, 4.38 examples/s]" + "Map (num_proc=16): 17%|█▋ | 721/4257 [03:22<22:44, 2.59 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 17\n", + "'hard'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -10434,53 +18936,35 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 681/4257 [03:10<10:01, 5.95 examples/s]" + "Map (num_proc=16): 17%|█▋ | 723/4257 [03:22<19:38, 3.00 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 244\n", - "invalid syntax (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 638\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 82\n", - "'games'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 796\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 556\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 322\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'" + "EEEERRRRRRR " ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 682/4257 [03:11<20:18, 2.93 examples/s]" + "Map (num_proc=16): 17%|█▋ | 724/4257 [03:23<18:39, 3.16 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "'str' object is not callable\n", + "245\n", + "'win-loss'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1252\n", - "'swim'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -10489,7 +18973,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 685/4257 [03:11<15:46, 3.77 examples/s]" + "Map (num_proc=16): 17%|█▋ | 726/4257 [03:23<15:55, 3.69 examples/s]" ] }, { @@ -10497,62 +18981,75 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 686/4257 [03:12<16:14, 3.66 examples/s]" + "Map (num_proc=16): 17%|█▋ | 727/4257 [03:23<15:45, 3.73 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 687/4257 [03:12<16:59, 3.50 examples/s]" + "Map (num_proc=16): 17%|█▋ | 728/4257 [03:24<15:59, 3.68 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5EEEERRRRRRR\n", + " 1110\n", + "'col'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1570\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 167\n", + "positional indexers are out-of-bounds\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 688/4257 [03:13<23:50, 2.49 examples/s]" + "Map (num_proc=16): 17%|█▋ | 729/4257 [03:24<22:07, 2.66 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + " 718\n", + "'european record'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 405\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1254\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 689/4257 [03:13<26:14, 2.27 examples/s]" + "Map (num_proc=16): 17%|█▋ | 731/4257 [03:25<18:01, 3.26 examples/s]" ] }, { @@ -10566,15 +19063,18 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 690/4257 [03:14<23:22, 2.54 examples/s]" + "Map (num_proc=16): 17%|█▋ | 732/4257 [03:25<18:04, 3.25 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 166\n", - "could not convert string to float: '1:46.75'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 643\n", + "single positional indexer is out-of-bounds\n", + "EEEERRRRRRR 557\n", + "invalid literal for int() with base 10: '71 + 71 + 65 = 207'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -10585,7 +19085,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▌ | 691/4257 [03:14<21:24, 2.78 examples/s]" + "Map (num_proc=16): 17%|█▋ | 733/4257 [03:25<20:18, 2.89 examples/s]" ] }, { @@ -10593,8 +19093,11 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 718\n", - "'date'\n", + "EEEERRRRRRR 1571\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 405\n", + "'str' object has no attribute 'astype'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -10604,7 +19107,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▋ | 692/4257 [03:14<23:19, 2.55 examples/s]" + "Map (num_proc=16): 17%|█▋ | 734/4257 [03:26<28:42, 2.05 examples/s]" ] }, { @@ -10612,48 +19115,44 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▋ | 693/4257 [03:15<21:10, 2.81 examples/s]" + "Map (num_proc=16): 17%|█▋ | 735/4257 [03:26<24:16, 2.42 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "'str' object is not callable\n", "'brazil scorers'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'str' object is not callable\n", - "\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▋ | 696/4257 [03:15<10:47, 5.50 examples/s]" + "Map (num_proc=16): 17%|█▋ | 737/4257 [03:27<16:50, 3.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n", - "EEEERRRRRRR 1410\n", - "'>=' not supported between instances of 'str' and 'int'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 322\n", + "'numpy.bool' object has no attribute 'reset_index'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -10661,13 +19160,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▋ | 698/4257 [03:15<10:35, 5.60 examples/s]" + "Map (num_proc=16): 17%|█▋ | 739/4257 [03:27<14:59, 3.91 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 797\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1110\n", + "'>' not supported between instances of 'str' and 'int'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -10677,39 +19185,40 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▋ | 699/4257 [03:15<10:30, 5.64 examples/s]" + "Map (num_proc=16): 17%|█▋ | 741/4257 [03:28<17:57, 3.26 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 557\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 914\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 16%|█▋ | 701/4257 [03:16<14:50, 4.00 examples/s]" + "Map (num_proc=16): 17%|█▋ | 743/4257 [03:29<18:02, 3.25 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 83\n", - "'deleted row'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", + "EEEERRRRRRR 718\n", + "'brazil scorers''record set'\n", + "\n", "'str' object is not callable\n" ] }, @@ -10717,15 +19226,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 703/4257 [03:17<14:11, 4.17 examples/s]" + "Map (num_proc=16): 18%|█▊ | 745/4257 [03:29<13:33, 4.32 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -10734,7 +19241,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 705/4257 [03:17<12:42, 4.66 examples/s]" + "Map (num_proc=16): 18%|█▊ | 746/4257 [03:29<13:49, 4.23 examples/s]" ] }, { @@ -10743,27 +19250,22 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 17\n", - "invalid literal for int() with base 10: '6 - 4 '\n", - "'brazil scorers'" + "EEEERRRRRRR 83\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 707/4257 [03:17<10:39, 5.55 examples/s]" + "Map (num_proc=16): 18%|█▊ | 748/4257 [03:30<15:05, 3.88 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -10771,57 +19273,51 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 710/4257 [03:17<08:05, 7.31 examples/s]" + "Map (num_proc=16): 18%|█▊ | 749/4257 [03:30<13:46, 4.25 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1254\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 245\n", - "'us open'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 711/4257 [03:18<11:49, 5.00 examples/s]" + "Map (num_proc=16): 18%|█▊ | 750/4257 [03:30<16:59, 3.44 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1570\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 1413\n", + "'>=' not supported between instances of 'str' and 'int'\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 712/4257 [03:18<15:14, 3.88 examples/s]" + "Map (num_proc=16): 18%|█▊ | 751/4257 [03:31<17:43, 3.30 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1109\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1253\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 322\n", - "Out of bounds nanosecond timestamp: march 31, at position 0\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -10830,24 +19326,24 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 713/4257 [03:19<18:05, 3.27 examples/s]" + ":1: FutureWarning: Series.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", + "Map (num_proc=16): 18%|█▊ | 753/4257 [03:31<13:43, 4.25 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 640\n", - "'This is our God'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 714/4257 [03:19<20:26, 2.89 examples/s]" + "Map (num_proc=16): 18%|█▊ | 754/4257 [03:31<12:54, 4.52 examples/s]" ] }, { @@ -10855,49 +19351,47 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 17\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 715/4257 [03:20<19:52, 2.97 examples/s]" + "Map (num_proc=16): 18%|█▊ | 755/4257 [03:32<17:19, 3.37 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 487\n", - "invalid literal for int() with base 10: 'w'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 405\n", + "EEEERRRRRRR 168\n", "single positional indexer is out-of-bounds\n", - "EEEERRRRRRR 913\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 1573\n", + "invalid literal for int() with base 10: 'fred jones (23)'\n", "'brazil scorers'\n", - "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 716/4257 [03:20<19:30, 3.03 examples/s]" + "Map (num_proc=16): 18%|█▊ | 756/4257 [03:32<17:02, 3.42 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 718\n", - "'Name'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -10907,7 +19401,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 717/4257 [03:20<21:42, 2.72 examples/s]" + "Map (num_proc=16): 18%|█▊ | 758/4257 [03:32<14:45, 3.95 examples/s]" ] }, { @@ -10915,46 +19409,38 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'EEEERRRRRRR\n", - "'brazil scorers' 'str' object is not callable\n", - "797\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 718/4257 [03:21<22:00, 2.68 examples/s]" + "Map (num_proc=16): 18%|█▊ | 759/4257 [03:32<13:57, 4.18 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'str' object is not callable\n", - "\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 720/4257 [03:21<15:41, 3.76 examples/s]" + "Map (num_proc=16): 18%|█▊ | 760/4257 [03:33<13:14, 4.40 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 557\n", + "'<' not supported between instances of 'str' and 'int'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 83\n", - "'deleted row'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -10964,29 +19450,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 721/4257 [03:22<22:44, 2.59 examples/s]" + "Map (num_proc=16): 18%|█▊ | 761/4257 [03:33<12:15, 4.76 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 17\n", - "'hard'\n", + "EEEERRRRRRR EEEERRRRRRR487 \n", + "798'location'\n", + "\n", + "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 723/4257 [03:22<19:38, 3.00 examples/s]" + "Map (num_proc=16): 18%|█▊ | 762/4257 [03:33<11:55, 4.89 examples/s]" ] }, { @@ -10994,42 +19478,44 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR " + "EEEERRRRRRR 245\n", + "'win-loss'\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 724/4257 [03:23<18:39, 3.16 examples/s]" + "Map (num_proc=16): 18%|█▊ | 763/4257 [03:33<16:47, 3.47 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "245\n", - "'win-loss'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 726/4257 [03:23<15:55, 3.69 examples/s]" + "Map (num_proc=16): 18%|█▊ | 765/4257 [03:34<15:10, 3.84 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1112\n", + "'cardinality'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -11039,7 +19525,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 727/4257 [03:23<15:45, 3.73 examples/s]" + "Map (num_proc=16): 18%|█▊ | 766/4257 [03:34<15:06, 3.85 examples/s]" ] }, { @@ -11047,85 +19533,88 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1413\n", + "single positional indexer is out-of-bounds\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 728/4257 [03:24<15:59, 3.68 examples/s]" + "Map (num_proc=16): 18%|█▊ | 768/4257 [03:35<15:59, 3.64 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5EEEERRRRRRR\n", - " 1110\n", - "'col'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 167\n", - "positional indexers are out-of-bounds\n", + "EEEERRRRRRR 83\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR" + "EEEERRRRRRR 915\n", + "'Total'\n", + "EEEERRRRRRR 718\n", + "'Date'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 324\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 729/4257 [03:24<22:07, 2.66 examples/s]" + "Map (num_proc=16): 18%|█▊ | 769/4257 [03:36<23:20, 2.49 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 718\n", - "'european record'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1254\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "'brazil scorers'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 731/4257 [03:25<18:01, 3.26 examples/s]" + "Map (num_proc=16): 18%|█▊ | 770/4257 [03:36<26:11, 2.22 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1254\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "'brazil scorers'\n", + "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 732/4257 [03:25<18:04, 3.25 examples/s]" + "Map (num_proc=16): 18%|█▊ | 773/4257 [03:37<17:02, 3.41 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 643\n", - "single positional indexer is out-of-bounds\n", - "EEEERRRRRRR 557\n", - "invalid literal for int() with base 10: '71 + 71 + 65 = 207'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -11135,7 +19624,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 733/4257 [03:25<20:18, 2.89 examples/s]" + "Map (num_proc=16): 18%|█▊ | 774/4257 [03:37<15:55, 3.65 examples/s]" ] }, { @@ -11143,11 +19632,11 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1571\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "'brazil scorers''brazil scorers'\n", + "\n", + "'str' object is not callable'str' object is not callable\n", + "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 405\n", - "'str' object has no attribute 'astype'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -11157,7 +19646,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 734/4257 [03:26<28:42, 2.05 examples/s]" + "Map (num_proc=16): 18%|█▊ | 777/4257 [03:37<13:48, 4.20 examples/s]" ] }, { @@ -11165,15 +19654,18 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 18\n", + "'str' object has no attribute 'sum'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 735/4257 [03:26<24:16, 2.42 examples/s]" + "Map (num_proc=16): 18%|█▊ | 780/4257 [03:38<14:11, 4.08 examples/s]" ] }, { @@ -11190,19 +19682,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 737/4257 [03:27<16:50, 3.48 examples/s]" + "Map (num_proc=16): 18%|█▊ | 782/4257 [03:39<13:52, 4.17 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 557\n", + "Cannot convert non-finite values (NA or inf) to integer\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 322\n", - "'numpy.bool' object has no attribute 'reset_index'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -11210,7 +19700,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 739/4257 [03:27<14:59, 3.91 examples/s]" + "Map (num_proc=16): 18%|█▊ | 784/4257 [03:39<12:40, 4.57 examples/s]" ] }, { @@ -11221,12 +19711,6 @@ "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 797\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1110\n", - "'>' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -11235,7 +19719,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 741/4257 [03:28<17:57, 3.26 examples/s]" + "Map (num_proc=16): 18%|█▊ | 786/4257 [03:39<10:17, 5.63 examples/s]" ] }, { @@ -11246,29 +19730,50 @@ "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 914\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 799\n", + "invalid literal for int() with base 10: 'postponed'\n", + "EEEERRRRRRR 407\n", + "'name'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1413\n", + "'>=' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 169\n", + "'50cc'\n", + "EEEERRRRRRR 718\n", + "'Date'\n", + "EEEERRRRRRR 1116\n", + "invalid syntax (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "EEEERRRRRRR'str' object is not callable \n", + "1576" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 17%|█▋ | 743/4257 [03:29<18:02, 3.25 examples/s]" + "Map (num_proc=16): 19%|█▊ | 788/4257 [03:41<20:51, 2.77 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "\n", + "'col'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 718\n", - "'brazil scorers''record set'\n", - "\n", + "EEEERRRRRRR 644\n", + "0\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 324\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "'brazil scorers'\n", "'str' object is not callable\n" ] }, @@ -11276,7 +19781,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 745/4257 [03:29<13:33, 4.32 examples/s]" + "Map (num_proc=16): 19%|█▊ | 789/4257 [03:41<24:23, 2.37 examples/s]" ] }, { @@ -11284,14 +19789,16 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 746/4257 [03:29<13:49, 4.23 examples/s]" + "Map (num_proc=16): 19%|█▊ | 790/4257 [03:42<25:15, 2.29 examples/s]" ] }, { @@ -11300,39 +19807,43 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 83\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 915\n", + "'brazil 100%'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 748/4257 [03:30<15:05, 3.88 examples/s]" + "Map (num_proc=16): 19%|█▊ | 792/4257 [03:42<20:16, 2.85 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 557\n", + "single positional indexer is out-of-bounds\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 749/4257 [03:30<13:46, 4.25 examples/s]" + "Map (num_proc=16): 19%|█▊ | 793/4257 [03:43<22:21, 2.58 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1254\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -11340,7 +19851,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 750/4257 [03:30<16:59, 3.44 examples/s]" + "Map (num_proc=16): 19%|█▊ | 794/4257 [03:43<21:19, 2.71 examples/s]" ] }, { @@ -11348,8 +19859,6 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1413\n", - "'>=' not supported between instances of 'str' and 'int'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -11358,42 +19867,46 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 751/4257 [03:31<17:43, 3.30 examples/s]" + "Map (num_proc=16): 19%|█▊ | 795/4257 [03:43<20:45, 2.78 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 487\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - ":1: FutureWarning: Series.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - "Map (num_proc=16): 18%|█▊ | 753/4257 [03:31<13:43, 4.25 examples/s]" + "Map (num_proc=16): 19%|█▊ | 796/4257 [03:44<18:59, 3.04 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 83\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 754/4257 [03:31<12:54, 4.52 examples/s]" + "Map (num_proc=16): 19%|█▊ | 798/4257 [03:45<20:43, 2.78 examples/s]" ] }, { @@ -11401,16 +19914,16 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 17\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'brazil scorers'\n", + "\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 755/4257 [03:32<17:19, 3.37 examples/s]" + "Map (num_proc=16): 19%|█▉ | 800/4257 [03:45<14:21, 4.01 examples/s]" ] }, { @@ -11418,10 +19931,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 168\n", - "single positional indexer is out-of-bounds\n", - "EEEERRRRRRR 1573\n", - "invalid literal for int() with base 10: 'fred jones (23)'\n", + "EEEERRRRRRR 407\n", + "'number'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -11430,17 +19941,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 756/4257 [03:32<17:02, 3.42 examples/s]" + "Map (num_proc=16): 19%|█▉ | 801/4257 [03:45<14:43, 3.91 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -11451,68 +19958,66 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 758/4257 [03:32<14:45, 3.95 examples/s]" + "Map (num_proc=16): 19%|█▉ | 802/4257 [03:45<18:06, 3.18 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "EEEERRRRRRR 557\n", + "'<=' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 759/4257 [03:32<13:57, 4.18 examples/s]" + "Map (num_proc=16): 19%|█▉ | 804/4257 [03:46<14:07, 4.08 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1254\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 760/4257 [03:33<13:14, 4.40 examples/s]" + "Map (num_proc=16): 19%|█▉ | 805/4257 [03:46<15:14, 3.78 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 557\n", - "'<' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 761/4257 [03:33<12:15, 4.76 examples/s]" + "Map (num_proc=16): 19%|█▉ | 806/4257 [03:46<17:11, 3.34 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR EEEERRRRRRR487 \n", - "798'location'\n", - "\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -11520,16 +20025,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 762/4257 [03:33<11:55, 4.89 examples/s]" + "Map (num_proc=16): 19%|█▉ | 807/4257 [03:47<17:05, 3.36 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1415\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 246\n", + "'in ' requires string as left operand, not int\n", + "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 245\n", - "'win-loss'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -11538,44 +20050,42 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 763/4257 [03:33<16:47, 3.47 examples/s]" + "Map (num_proc=16): 19%|█▉ | 809/4257 [03:47<15:29, 3.71 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 765/4257 [03:34<15:10, 3.84 examples/s]" + "Map (num_proc=16): 19%|█▉ | 810/4257 [03:47<15:17, 3.76 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1112\n", - "'cardinality'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 324'brazil scorers'\n", + "\n", + "'str' object is not callableThe truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 766/4257 [03:34<15:06, 3.85 examples/s]" + "Map (num_proc=16): 19%|█▉ | 812/4257 [03:48<11:20, 5.06 examples/s]" ] }, { @@ -11584,16 +20094,21 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1413\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 799\n", + "'june 9'\n", + "EEEERRRRRRR 170\n", + "'detectable by'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 768/4257 [03:35<15:59, 3.64 examples/s]" + "Map (num_proc=16): 19%|█▉ | 813/4257 [03:48<14:18, 4.01 examples/s]" ] }, { @@ -11601,70 +20116,58 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 83\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 915\n", - "'Total'\n", "EEEERRRRRRR 718\n", - "'Date'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'location'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 324\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 769/4257 [03:36<23:20, 2.49 examples/s]" + "Map (num_proc=16): 19%|█▉ | 814/4257 [03:49<19:58, 2.87 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 770/4257 [03:36<26:11, 2.22 examples/s]" + "Map (num_proc=16): 19%|█▉ | 815/4257 [03:49<16:32, 3.47 examples/s]" ] }, { "name": "stdout", "output_type": "stream", - "text": [ - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1254\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "'brazil scorers'\n", - "'str' object is not callableGenerating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n" + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 646\n", + "Cannot perform 'rand_' with a dtyped [int64] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 773/4257 [03:37<17:02, 3.41 examples/s]" + "Map (num_proc=16): 19%|█▉ | 816/4257 [03:49<15:44, 3.64 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 916\n", + "\"None of [Index([2006, 2007], dtype='int64')] are in the [index]\"\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -11674,18 +20177,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 774/4257 [03:37<15:55, 3.65 examples/s]" + "Map (num_proc=16): 19%|█▉ | 817/4257 [03:50<20:34, 2.79 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers''brazil scorers'\n", - "\n", - "'str' object is not callable'str' object is not callable\n", - "\n", + "EEEERRRRRRR 1576\n", + "'col 1'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -11696,7 +20196,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 777/4257 [03:37<13:48, 4.20 examples/s]" + "Map (num_proc=16): 19%|█▉ | 818/4257 [03:50<22:02, 2.60 examples/s]" ] }, { @@ -11704,10 +20204,6 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 18\n", - "'str' object has no attribute 'sum'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -11715,7 +20211,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 780/4257 [03:38<14:11, 4.08 examples/s]" + "Map (num_proc=16): 19%|█▉ | 820/4257 [03:50<15:16, 3.75 examples/s]" ] }, { @@ -11732,44 +20228,46 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 782/4257 [03:39<13:52, 4.17 examples/s]" + "Map (num_proc=16): 19%|█▉ | 822/4257 [03:51<10:54, 5.25 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 557\n", - "Cannot convert non-finite values (NA or inf) to integer\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 84\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 557\n", + "invalid literal for int() with base 10: '71 + 71 + 65 = 207'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 784/4257 [03:39<12:40, 4.57 examples/s]" + "Map (num_proc=16): 19%|█▉ | 823/4257 [03:52<20:41, 2.77 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 18%|█▊ | 786/4257 [03:39<10:17, 5.63 examples/s]" + "Map (num_proc=16): 19%|█▉ | 825/4257 [03:52<15:38, 3.66 examples/s]" ] }, { @@ -11780,49 +20278,30 @@ "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 799\n", - "invalid literal for int() with base 10: 'postponed'\n", - "EEEERRRRRRR 407\n", - "'name'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1413\n", - "'>=' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 169\n", - "'50cc'\n", - "EEEERRRRRRR 718\n", - "'Date'\n", - "EEEERRRRRRR 1116\n", - "invalid syntax (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "EEEERRRRRRR'str' object is not callable \n", - "1576" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▊ | 788/4257 [03:41<20:51, 2.77 examples/s]" + "Map (num_proc=16): 19%|█▉ | 828/4257 [03:52<11:04, 5.16 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "'col'\n", + "EEEERRRRRRR 487\n", + "'location'\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "EEEERRRRRRR 408\n", + "positional indexers are out-of-bounds\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 644\n", - "0\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 324\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -11831,24 +20310,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▊ | 789/4257 [03:41<24:23, 2.37 examples/s]" + "Map (num_proc=16): 19%|█▉ | 830/4257 [03:53<12:44, 4.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▊ | 790/4257 [03:42<25:15, 2.29 examples/s]" + "Map (num_proc=16): 20%|█▉ | 831/4257 [03:53<11:58, 4.77 examples/s]" ] }, { @@ -11856,9 +20332,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 915\n", - "'brazil 100%'\n", + "EEEERRRRRRR 1415\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -11868,16 +20343,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▊ | 792/4257 [03:42<20:16, 2.85 examples/s]" + "Map (num_proc=16): 20%|█▉ | 832/4257 [03:53<14:17, 4.00 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 324\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 557\n", - "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -11887,27 +20362,39 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▊ | 793/4257 [03:43<22:21, 2.58 examples/s]" + "Map (num_proc=16): 20%|█▉ | 833/4257 [03:54<15:17, 3.73 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1255\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "EEEERRRRRRR 1117\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▊ | 794/4257 [03:43<21:19, 2.71 examples/s]" + "Map (num_proc=16): 20%|█▉ | 834/4257 [03:54<15:19, 3.72 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "EEEERRRRRRR 'str' object is not callable20\n", + "\n", + "Can only compare identically-labeled Series objects\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -11917,38 +20404,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▊ | 795/4257 [03:43<20:45, 2.78 examples/s]" + "Map (num_proc=16): 20%|█▉ | 836/4257 [03:54<12:58, 4.39 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 487\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▊ | 796/4257 [03:44<18:59, 3.04 examples/s]" + "Map (num_proc=16): 20%|█▉ | 837/4257 [03:54<12:48, 4.45 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 83\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -11956,7 +20432,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▊ | 798/4257 [03:45<20:43, 2.78 examples/s]" + "Map (num_proc=16): 20%|█▉ | 838/4257 [03:55<12:20, 4.62 examples/s]" ] }, { @@ -11964,16 +20440,14 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5'brazil scorers'\n", - "\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 800/4257 [03:45<14:21, 4.01 examples/s]" + "Map (num_proc=16): 20%|█▉ | 840/4257 [03:55<16:28, 3.46 examples/s]" ] }, { @@ -11981,25 +20455,40 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 407\n", - "'number'\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "'brazil scorers'EEEERRRRRRR\n", + " 'str' object is not callable1577\n", + "EEEERRRRRRR\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 801/4257 [03:45<14:43, 3.91 examples/s]" + "Map (num_proc=16): 20%|█▉ | 841/4257 [03:56<17:48, 3.20 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + " The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().170\n", + "\n", + "'detectable by'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 487\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 719\n", + "'first_name'\n", + "EEEERRRRRRR 247\n", + "'>=' not supported between instances of 'str' and 'float'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 799\n", + "'<=' not supported between instances of 'str' and 'int'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -12008,7 +20497,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 802/4257 [03:45<18:06, 3.18 examples/s]" + "Map (num_proc=16): 20%|█▉ | 843/4257 [03:57<21:22, 2.66 examples/s]" ] }, { @@ -12017,28 +20506,11 @@ "text": [ "'brazil scorers'\n", "'str' object is not callable\n", - "EEEERRRRRRR 557\n", - "'<=' not supported between instances of 'str' and 'int'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 19%|█▉ | 804/4257 [03:46<14:07, 4.08 examples/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1254\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1417\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -12047,13 +20519,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 805/4257 [03:46<15:14, 3.78 examples/s]" + "Map (num_proc=16): 20%|█▉ | 845/4257 [03:57<20:52, 2.72 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -12061,52 +20534,49 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 806/4257 [03:46<17:11, 3.34 examples/s]" + "Map (num_proc=16): 20%|█▉ | 846/4257 [03:58<20:29, 2.77 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 807/4257 [03:47<17:05, 3.36 examples/s]" + "Map (num_proc=16): 20%|█▉ | 847/4257 [03:58<17:38, 3.22 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1415\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 246\n", - "'in ' requires string as left operand, not int\n", - "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 84\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 809/4257 [03:47<15:29, 3.71 examples/s]" + "Map (num_proc=16): 20%|█▉ | 848/4257 [03:58<18:53, 3.01 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -12116,26 +20586,29 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 810/4257 [03:47<15:17, 3.76 examples/s]" + "Map (num_proc=16): 20%|█▉ | 850/4257 [03:58<13:46, 4.12 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 919\n", + "index 12 is out of bounds for axis 0 with size 12\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 324'brazil scorers'\n", - "\n", - "'str' object is not callableThe truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "\n" + "EEEERRRRRRR 408\n", + "Cannot perform 'ror_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 812/4257 [03:48<11:20, 5.06 examples/s]" + "Map (num_proc=16): 20%|█▉ | 851/4257 [03:59<18:40, 3.04 examples/s]" ] }, { @@ -12143,13 +20616,14 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 799\n", - "'june 9'\n", - "EEEERRRRRRR 170\n", - "'detectable by'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 647\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 558\n", + "\"None of [Index([ -4046, 25168, -5356, -8483, -217, -482, -2510, -1224, -911,\\n -3315, -311, -2379, -745, -348, -11543],\\n dtype='int64')] are in the [columns]\"\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -12158,7 +20632,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 813/4257 [03:48<14:18, 4.01 examples/s]" + "Map (num_proc=16): 20%|██ | 853/4257 [04:00<16:23, 3.46 examples/s]" ] }, { @@ -12166,9 +20640,7 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 718\n", - "'location'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -12177,13 +20649,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 814/4257 [03:49<19:58, 2.87 examples/s]" + "Map (num_proc=16): 20%|██ | 854/4257 [04:00<15:35, 3.64 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -12191,16 +20664,18 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 815/4257 [03:49<16:32, 3.47 examples/s]" + "Map (num_proc=16): 20%|██ | 856/4257 [04:00<13:42, 4.14 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 20\n", + "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 646\n", - "Cannot perform 'rand_' with a dtyped [int64] array and scalar of type [bool]\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -12208,7 +20683,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 816/4257 [03:49<15:44, 3.64 examples/s]" + "Map (num_proc=16): 20%|██ | 858/4257 [04:00<10:34, 5.36 examples/s]" ] }, { @@ -12216,8 +20691,9 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 916\n", - "\"None of [Index([2006, 2007], dtype='int64')] are in the [index]\"\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1577\n", + "'august 24'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -12227,33 +20703,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 817/4257 [03:50<20:34, 2.79 examples/s]" + "Map (num_proc=16): 20%|██ | 859/4257 [04:01<15:20, 3.69 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1576\n", - "'col 1'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 818/4257 [03:50<22:02, 2.60 examples/s]" + "Map (num_proc=16): 20%|██ | 860/4257 [04:01<16:05, 3.52 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -12261,7 +20731,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 820/4257 [03:50<15:16, 3.75 examples/s]" + "Map (num_proc=16): 20%|██ | 861/4257 [04:02<16:12, 3.49 examples/s]" ] }, { @@ -12270,6 +20740,9 @@ "text": [ "'brazil scorers'\n", "'str' object is not callable\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -12278,7 +20751,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 822/4257 [03:51<10:54, 5.25 examples/s]" + "Map (num_proc=16): 20%|██ | 864/4257 [04:02<12:14, 4.62 examples/s]" ] }, { @@ -12286,11 +20759,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 84\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 557\n", - "invalid literal for int() with base 10: '71 + 71 + 65 = 207'\n", + "EEEERRRRRRR 171\n", + "'time'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -12300,15 +20770,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 823/4257 [03:52<20:41, 2.77 examples/s]" + "Map (num_proc=16): 20%|██ | 865/4257 [04:02<15:03, 3.75 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -12317,16 +20785,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 825/4257 [03:52<15:38, 3.66 examples/s]" + "Map (num_proc=16): 20%|██ | 867/4257 [04:03<12:20, 4.58 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 719\n", + "'title'\n", + "'brazil scorers'\n", + "'str' object is not callable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 20%|██ | 868/4257 [04:03<12:06, 4.67 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -12335,20 +20818,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 828/4257 [03:52<11:04, 5.16 examples/s]" + "Map (num_proc=16): 20%|██ | 869/4257 [04:03<13:20, 4.23 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 487\n", - "'location'\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "EEEERRRRRRR 408\n", - "positional indexers are out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1118\n", + "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", @@ -12360,7 +20838,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 19%|█▉ | 830/4257 [03:53<12:44, 4.48 examples/s]" + "Map (num_proc=16): 20%|██ | 871/4257 [04:03<10:37, 5.31 examples/s]" ] }, { @@ -12374,34 +20852,53 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 831/4257 [03:53<11:58, 4.77 examples/s]" + "Map (num_proc=16): 20%|██ | 872/4257 [04:04<09:59, 5.65 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1415\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 'brazil scorers'1259\n", + "\n", + "'str' object is not callableinvalid literal for int() with base 10: '15 , 18 '\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Map (num_proc=16): 21%|██ | 874/4257 [04:04<08:50, 6.38 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.51417\n", + "\n", "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 832/4257 [03:53<14:17, 4.00 examples/s]" + "Map (num_proc=16): 21%|██ | 876/4257 [04:04<09:21, 6.02 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 324\n", - "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -12412,38 +20909,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 833/4257 [03:54<15:17, 3.73 examples/s]" + "Map (num_proc=16): 21%|██ | 878/4257 [04:05<11:44, 4.79 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1255\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "EEEERRRRRRR 1117\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 834/4257 [03:54<15:19, 3.72 examples/s]" + "Map (num_proc=16): 21%|██ | 879/4257 [04:05<10:52, 5.18 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "EEEERRRRRRR 'str' object is not callable20\n", - "\n", - "Can only compare identically-labeled Series objects\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -12454,50 +20940,68 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 836/4257 [03:54<12:58, 4.39 examples/s]" + "Map (num_proc=16): 21%|██ | 881/4257 [04:05<09:59, 5.63 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 84\n", + "'str' object has no attribute 'month'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 801\n", + "Can only compare identically-labeled Series objects\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRREEEERRRRRRR 408488\n", + "\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 837/4257 [03:54<12:48, 4.45 examples/s]" + "Map (num_proc=16): 21%|██ | 882/4257 [04:06<15:23, 3.65 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 921\n", + "'no'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 838/4257 [03:55<12:20, 4.62 examples/s]" + "Map (num_proc=16): 21%|██ | 883/4257 [04:06<16:29, 3.41 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 840/4257 [03:55<16:28, 3.46 examples/s]" + "Map (num_proc=16): 21%|██ | 884/4257 [04:06<15:10, 3.70 examples/s]" ] }, { @@ -12505,111 +21009,87 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'EEEERRRRRRR\n", - " 'str' object is not callable1577\n", - "EEEERRRRRRR\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 841/4257 [03:56<17:48, 3.20 examples/s]" + "Map (num_proc=16): 21%|██ | 886/4257 [04:07<12:50, 4.37 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().170\n", - "\n", - "'detectable by'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 487\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 719\n", - "'first_name'\n", - "EEEERRRRRRR 247\n", - "'>=' not supported between instances of 'str' and 'float'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 799\n", - "'<=' not supported between instances of 'str' and 'int'\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 21\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 843/4257 [03:57<21:22, 2.66 examples/s]" + "Map (num_proc=16): 21%|██ | 888/4257 [04:07<14:08, 3.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1417\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 845/4257 [03:57<20:52, 2.72 examples/s]" + ":1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 558\n", + "unsupported operand type(s) for -: 'str' and 'str'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 846/4257 [03:58<20:29, 2.77 examples/s]" + "Map (num_proc=16): 21%|██ | 889/4257 [04:08<14:36, 3.84 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 847/4257 [03:58<17:38, 3.22 examples/s]" + "Map (num_proc=16): 21%|██ | 891/4257 [04:08<12:29, 4.49 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 84\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -12617,7 +21097,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 848/4257 [03:58<18:53, 3.01 examples/s]" + "Map (num_proc=16): 21%|██ | 892/4257 [04:08<12:56, 4.34 examples/s]" ] }, { @@ -12628,6 +21108,8 @@ "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 648\n", + "'team'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -12636,19 +21118,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 850/4257 [03:58<13:46, 4.12 examples/s]" + "Map (num_proc=16): 21%|██ | 894/4257 [04:09<13:14, 4.23 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 919\n", - "index 12 is out of bounds for axis 0 with size 12\n", + "'brazil scorers'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 408\n", - "Cannot perform 'ror_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -12658,7 +21138,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|█▉ | 851/4257 [03:59<18:40, 3.04 examples/s]" + "Map (num_proc=16): 21%|██ | 896/4257 [04:09<12:45, 4.39 examples/s]" ] }, { @@ -12666,14 +21146,10 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 647\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 558\n", - "\"None of [Index([ -4046, 25168, -5356, -8483, -217, -482, -2510, -1224, -911,\\n -3315, -311, -2379, -745, -348, -11543],\\n dtype='int64')] are in the [columns]\"\n", + "EEEERRRRRRR 171\n", + "'time'\n", + "EEEERRRRRRR 1583\n", + "invalid literal for int() with base 10: 'l 28 '\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -12682,7 +21158,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 853/4257 [04:00<16:23, 3.46 examples/s]" + "Map (num_proc=16): 21%|██ | 897/4257 [04:09<12:36, 4.44 examples/s]" ] }, { @@ -12691,49 +21167,57 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 854/4257 [04:00<15:35, 3.64 examples/s]" + "Map (num_proc=16): 21%|██ | 899/4257 [04:10<12:54, 4.34 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + " 720\n", + "Lengths must match to compare\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1261\n", + "'name'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 856/4257 [04:00<13:42, 4.14 examples/s]" + "Map (num_proc=16): 21%|██ | 901/4257 [04:10<12:35, 4.44 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 20\n", - "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 921\n", + "'no'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 858/4257 [04:00<10:34, 5.36 examples/s]" + "Map (num_proc=16): 21%|██ | 902/4257 [04:11<13:02, 4.29 examples/s]" ] }, { @@ -12742,24 +21226,23 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1577\n", - "'august 24'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 859/4257 [04:01<15:20, 3.69 examples/s]" + "Map (num_proc=16): 21%|██ | 904/4257 [04:11<12:38, 4.42 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 85\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -12767,32 +21250,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 860/4257 [04:01<16:05, 3.52 examples/s]" + "Map (num_proc=16): 21%|██▏ | 905/4257 [04:11<15:27, 3.62 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable'brazil scorers'\n", + "\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 861/4257 [04:02<16:12, 3.49 examples/s]" + "Map (num_proc=16): 21%|██▏ | 906/4257 [04:12<15:58, 3.49 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -12801,26 +21283,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 864/4257 [04:02<12:14, 4.62 examples/s]" + "Map (num_proc=16): 21%|██▏ | 908/4257 [04:12<12:34, 4.44 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1120\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 1419\n", + "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 171\n", - "'time'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 865/4257 [04:02<15:03, 3.75 examples/s]" + "Map (num_proc=16): 21%|██▏ | 909/4257 [04:12<13:29, 4.14 examples/s]" ] }, { @@ -12828,14 +21311,17 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR'brazil scorers' \n", + "488\n", + "'str' object is not callableCan only use .dt accessor with datetimelike values\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 867/4257 [04:03<12:20, 4.58 examples/s]" + "Map (num_proc=16): 21%|██▏ | 910/4257 [04:13<13:51, 4.03 examples/s]" ] }, { @@ -12843,8 +21329,7 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 719\n", - "'title'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -12853,7 +21338,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 868/4257 [04:03<12:06, 4.67 examples/s]" + "Map (num_proc=16): 21%|██▏ | 911/4257 [04:13<13:36, 4.10 examples/s]" ] }, { @@ -12861,40 +21346,42 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 869/4257 [04:03<13:20, 4.23 examples/s]" + "Map (num_proc=16): 21%|██▏ | 912/4257 [04:13<13:44, 4.06 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1118\n", - "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 871/4257 [04:03<10:37, 5.31 examples/s]" + ":1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + "Map (num_proc=16): 21%|██▏ | 914/4257 [04:13<12:12, 4.56 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 721\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -12902,39 +21389,52 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 20%|██ | 872/4257 [04:04<09:59, 5.65 examples/s]" + "Map (num_proc=16): 21%|██▏ | 915/4257 [04:14<18:26, 3.02 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 409'brazil scorers'\n", + "'str' object has no attribute 'astype'\n", + "\n", + "'str' object is not callable\n", "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 'brazil scorers'1259\n", - "\n", - "'str' object is not callableinvalid literal for int() with base 10: '15 , 18 '\n", - "\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 21\n", + "can only concatenate str (not \"int\") to str\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 874/4257 [04:04<08:50, 6.38 examples/s]" + "Map (num_proc=16): 22%|██▏ | 918/4257 [04:15<15:41, 3.54 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 248\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "EEEERRRRRRR 328\n", + "invalid literal for int() with base 10: 'l'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.51417\n", - "\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 559\n", + "'years row'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1585\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -12942,13 +21442,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 876/4257 [04:04<09:21, 6.02 examples/s]" + "Map (num_proc=16): 22%|██▏ | 920/4257 [04:16<18:42, 2.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -12959,89 +21461,76 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 878/4257 [04:05<11:44, 4.79 examples/s]" + "Map (num_proc=16): 22%|██▏ | 922/4257 [04:16<18:14, 3.05 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 879/4257 [04:05<10:52, 5.18 examples/s]" + "Map (num_proc=16): 22%|██▏ | 923/4257 [04:17<17:31, 3.17 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 801\n", + "'score_team_2'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 881/4257 [04:05<09:59, 5.63 examples/s]" + "Map (num_proc=16): 22%|██▏ | 924/4257 [04:17<16:05, 3.45 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 84\n", - "'str' object has no attribute 'month'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 801\n", - "Can only compare identically-labeled Series objects\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRREEEERRRRRRR 408488\n", - "\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 882/4257 [04:06<15:23, 3.65 examples/s]" + "Map (num_proc=16): 22%|██▏ | 925/4257 [04:17<14:48, 3.75 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 921\n", - "'no'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 883/4257 [04:06<16:29, 3.41 examples/s]" + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", + "EEEERRRRRRR 648\n", + "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -13051,34 +21540,33 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 884/4257 [04:06<15:10, 3.70 examples/s]" + "Map (num_proc=16): 22%|██▏ | 926/4257 [04:18<18:26, 3.01 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 86\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1262\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 886/4257 [04:07<12:50, 4.37 examples/s]" + "Map (num_proc=16): 22%|██▏ | 927/4257 [04:18<21:25, 2.59 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 21\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -13086,13 +21574,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 888/4257 [04:07<14:08, 3.97 examples/s]" + "Map (num_proc=16): 22%|██▏ | 928/4257 [04:18<18:03, 3.07 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 721\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1120\n", + "'a external (cm 2)'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -13100,54 +21594,62 @@ "name": "stderr", "output_type": "stream", "text": [ - ":1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n" + "Map (num_proc=16): 22%|██▏ | 929/4257 [04:19<26:12, 2.12 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 558\n", - "unsupported operand type(s) for -: 'str' and 'str'\n" + "EEEERRRRRRR 1421\n", + "'no opinion'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 889/4257 [04:08<14:36, 3.84 examples/s]" + "Map (num_proc=16): 22%|██▏ | 930/4257 [04:20<28:08, 1.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "'brazil scorers''brazil scorers'\n", + "\n", + "'str' object is not callable'str' object is not callable\n", + "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 891/4257 [04:08<12:29, 4.49 examples/s]" + "Map (num_proc=16): 22%|██▏ | 933/4257 [04:20<14:58, 3.70 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 892/4257 [04:08<12:56, 4.34 examples/s]" + "Map (num_proc=16): 22%|██▏ | 934/4257 [04:20<18:24, 3.01 examples/s]" ] }, { @@ -13158,8 +21660,6 @@ "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 648\n", - "'team'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -13168,27 +21668,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 894/4257 [04:09<13:14, 4.23 examples/s]" + "Map (num_proc=16): 22%|██▏ | 936/4257 [04:21<14:38, 3.78 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 896/4257 [04:09<12:45, 4.39 examples/s]" + "Map (num_proc=16): 22%|██▏ | 937/4257 [04:21<13:11, 4.19 examples/s]" ] }, { @@ -13196,10 +21690,7 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 171\n", - "'time'\n", - "EEEERRRRRRR 1583\n", - "invalid literal for int() with base 10: 'l 28 '\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -13208,7 +21699,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 897/4257 [04:09<12:36, 4.44 examples/s]" + "Map (num_proc=16): 22%|██▏ | 939/4257 [04:21<10:21, 5.34 examples/s]" ] }, { @@ -13216,58 +21707,44 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR" + "EEEERRRRRRR 411\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 899/4257 [04:10<12:54, 4.34 examples/s]" + "Map (num_proc=16): 22%|██▏ | 940/4257 [04:21<11:14, 4.92 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 720\n", - "Lengths must match to compare\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1261\n", - "'name'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 901/4257 [04:10<12:35, 4.44 examples/s]" + "Map (num_proc=16): 22%|██▏ | 941/4257 [04:22<10:03, 5.49 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 921\n", - "'no'\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 902/4257 [04:11<13:02, 4.29 examples/s]" + "Map (num_proc=16): 22%|██▏ | 942/4257 [04:22<12:07, 4.56 examples/s]" ] }, { @@ -13275,15 +21752,18 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 649\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██ | 904/4257 [04:11<12:38, 4.42 examples/s]" + "Map (num_proc=16): 22%|██▏ | 944/4257 [04:22<09:52, 5.59 examples/s]" ] }, { @@ -13291,8 +21771,12 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 85\n", - "Can only use .dt accessor with datetimelike values\n", + "EEEERRRRRRR 'brazil scorers'86\n", + "\n", + "'str' object is not callable'result row 2003'\n", + "\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -13300,17 +21784,18 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██▏ | 905/4257 [04:11<15:27, 3.62 examples/s]" + "Map (num_proc=16): 22%|██▏ | 946/4257 [04:22<09:04, 6.08 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable'brazil scorers'\n", - "\n", "'str' object is not callable\n" ] }, @@ -13318,7 +21803,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██▏ | 906/4257 [04:12<15:58, 3.49 examples/s]" + "Map (num_proc=16): 22%|██▏ | 948/4257 [04:23<07:43, 7.14 examples/s]" ] }, { @@ -13326,34 +21811,31 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██▏ | 908/4257 [04:12<12:34, 4.44 examples/s]" + "Map (num_proc=16): 22%|██▏ | 949/4257 [04:23<07:18, 7.55 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1120\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 1419\n", - "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██▏ | 909/4257 [04:12<13:29, 4.14 examples/s]" + "Map (num_proc=16): 22%|██▏ | 950/4257 [04:23<07:06, 7.75 examples/s]" ] }, { @@ -13361,17 +21843,19 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR'brazil scorers' \n", - "488\n", - "'str' object is not callableCan only use .dt accessor with datetimelike values\n", - "\n" + "EEEERRRRRRR 488\n", + "'float' object has no attribute 'item'\n", + "EEEERRRRRRR 1265\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██▏ | 910/4257 [04:13<13:51, 4.03 examples/s]" + "Map (num_proc=16): 22%|██▏ | 951/4257 [04:23<12:54, 4.27 examples/s]" ] }, { @@ -13388,13 +21872,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██▏ | 911/4257 [04:13<13:36, 4.10 examples/s]" + "Map (num_proc=16): 22%|██▏ | 953/4257 [04:24<10:41, 5.15 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 22\n", + "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -13404,25 +21890,24 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██▏ | 912/4257 [04:13<13:44, 4.06 examples/s]" + "Map (num_proc=16): 22%|██▏ | 954/4257 [04:24<09:46, 5.63 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 724\n", + "invalid literal for int() with base 10: 'wells (15'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - ":1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "Map (num_proc=16): 21%|██▏ | 914/4257 [04:13<12:12, 4.56 examples/s]" + "Map (num_proc=16): 22%|██▏ | 955/4257 [04:24<11:07, 4.95 examples/s]" ] }, { @@ -13430,8 +21915,6 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 721\n", - "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -13439,52 +21922,44 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 21%|██▏ | 915/4257 [04:14<18:26, 3.02 examples/s]" + "Map (num_proc=16): 22%|██▏ | 956/4257 [04:24<10:20, 5.32 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 409'brazil scorers'\n", - "'str' object has no attribute 'astype'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 559\n", + "'>=' not supported between instances of 'str' and 'int'\n", + "EEEERRRRRRR 1421\n", + "Could not convert string '28%29%42%20%16%11%' to numeric\n", + "EEEERRRRRRR 249Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "\n", - "'str' object is not callable\n", - "'brazil scorers'\n", - "'str' object is not callable\n", + "invalid literal for int() with base 10: '7 - 5 '\n", + "EEEERRRRRRR 174\n", + "Can only compare identically-labeled Series objects\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1120\n", + "index 0 is out of bounds for axis 0 with size 0\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 21\n", - "can only concatenate str (not \"int\") to str\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 918/4257 [04:15<15:41, 3.54 examples/s]" + "Map (num_proc=16): 22%|██▏ | 957/4257 [04:25<21:10, 2.60 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 248\n", - "index 0 is out of bounds for axis 0 with size 0\n", - "EEEERRRRRRR 328\n", - "invalid literal for int() with base 10: 'l'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 559\n", - "'years row'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1585\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -13492,32 +21967,37 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 920/4257 [04:16<18:42, 2.97 examples/s]" + "Map (num_proc=16): 23%|██▎ | 958/4257 [04:25<20:04, 2.74 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "EEEERRRRRRR 86\n", + "invalid decimal literal (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 1586\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 411\n", + "'winner'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 922/4257 [04:16<18:14, 3.05 examples/s]" + "Map (num_proc=16): 23%|██▎ | 959/4257 [04:26<25:29, 2.16 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -13527,169 +22007,180 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 923/4257 [04:17<17:31, 3.17 examples/s]" + "Map (num_proc=16): 23%|██▎ | 961/4257 [04:26<17:47, 3.09 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 801\n", - "'score_team_2'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 924/4257 [04:17<16:05, 3.45 examples/s]" + "Map (num_proc=16): 23%|██▎ | 962/4257 [04:27<22:09, 2.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 926\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 925/4257 [04:17<14:48, 3.75 examples/s]" + "Map (num_proc=16): 23%|██▎ | 963/4257 [04:28<27:18, 2.01 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" + "Map (num_proc=16): 23%|██▎ | 965/4257 [04:28<17:06, 3.21 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 648\n", - "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 926/4257 [04:18<18:26, 3.01 examples/s]" + "Map (num_proc=16): 23%|██▎ | 966/4257 [04:28<15:46, 3.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 86\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1262\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 927/4257 [04:18<21:25, 2.59 examples/s]" + "Map (num_proc=16): 23%|██▎ | 967/4257 [04:28<14:45, 3.72 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 803\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 488'brazil scorers'\n", + "\n", + "Can only use .dt accessor with datetimelike values\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 928/4257 [04:18<18:03, 3.07 examples/s]" + "Map (num_proc=16): 23%|██▎ | 968/4257 [04:29<14:48, 3.70 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 721\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 328\n", + "invalid syntax (, line 0)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1120\n", - "'a external (cm 2)'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 929/4257 [04:19<26:12, 2.12 examples/s]" + "Map (num_proc=16): 23%|██▎ | 969/4257 [04:29<14:37, 3.75 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1421\n", - "'no opinion'\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 724\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 930/4257 [04:20<28:08, 1.97 examples/s]" + "Map (num_proc=16): 23%|██▎ | 971/4257 [04:29<13:24, 4.08 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers''brazil scorers'\n", - "\n", - "'str' object is not callable'str' object is not callable\n", - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 22\n", + "'int' object has no attribute 'shift'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 933/4257 [04:20<14:58, 3.70 examples/s]" + "Map (num_proc=16): 23%|██▎ | 972/4257 [04:30<16:17, 3.36 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 559\n", + "Cannot use method 'nlargest' with dtype object\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -13699,32 +22190,30 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 934/4257 [04:20<18:24, 3.01 examples/s]" + "Map (num_proc=16): 23%|██▎ | 973/4257 [04:30<14:15, 3.84 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 936/4257 [04:21<14:38, 3.78 examples/s]" + "Map (num_proc=16): 23%|██▎ | 974/4257 [04:30<13:36, 4.02 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -13732,7 +22221,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 937/4257 [04:21<13:11, 4.19 examples/s]" + "Map (num_proc=16): 23%|██▎ | 976/4257 [04:30<11:35, 4.72 examples/s]" ] }, { @@ -13749,16 +22238,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 939/4257 [04:21<10:21, 5.34 examples/s]" + "Map (num_proc=16): 23%|██▎ | 978/4257 [04:31<09:32, 5.73 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 411\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -13766,27 +22252,38 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 940/4257 [04:21<11:14, 4.92 examples/s]" + "Map (num_proc=16): 23%|██▎ | 979/4257 [04:31<09:59, 5.47 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1586\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 941/4257 [04:22<10:03, 5.49 examples/s]" + "Map (num_proc=16): 23%|██▎ | 980/4257 [04:31<10:55, 5.00 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 174\n", + "can only concatenate str (not \"int\") to str\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 926\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -13794,26 +22291,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 942/4257 [04:22<12:07, 4.56 examples/s]" + "Map (num_proc=16): 23%|██▎ | 981/4257 [04:32<18:21, 2.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 649\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" + "EEEERRRRRRR 249\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 944/4257 [04:22<09:52, 5.59 examples/s]" + "Map (num_proc=16): 23%|██▎ | 983/4257 [04:32<12:14, 4.46 examples/s]" ] }, { @@ -13821,12 +22315,10 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 'brazil scorers'86\n", - "\n", - "'str' object is not callable'result row 2003'\n", - "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 87\n", + "'score to par'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -13834,7 +22326,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 946/4257 [04:22<09:04, 6.08 examples/s]" + "Map (num_proc=16): 23%|██▎ | 984/4257 [04:33<17:17, 3.15 examples/s]" ] }, { @@ -13845,6 +22337,9 @@ "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 411\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -13853,7 +22348,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 948/4257 [04:23<07:43, 7.14 examples/s]" + "Map (num_proc=16): 23%|██▎ | 986/4257 [04:33<14:05, 3.87 examples/s]" ] }, { @@ -13862,20 +22357,25 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1121" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 949/4257 [04:23<07:18, 7.55 examples/s]" + "Map (num_proc=16): 23%|██▎ | 988/4257 [04:33<11:20, 4.81 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -13885,19 +22385,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 950/4257 [04:23<07:06, 7.75 examples/s]" + "Map (num_proc=16): 23%|██▎ | 989/4257 [04:34<12:35, 4.32 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 488\n", - "'float' object has no attribute 'item'\n", - "EEEERRRRRRR 1265\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 649\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -13905,32 +22405,33 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 951/4257 [04:23<12:54, 4.27 examples/s]" + "Map (num_proc=16): 23%|██▎ | 991/4257 [04:34<13:37, 4.00 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 488\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 1586\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 953/4257 [04:24<10:41, 5.15 examples/s]" + "Map (num_proc=16): 23%|██▎ | 992/4257 [04:35<18:02, 3.02 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 22\n", - "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -13940,24 +22441,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 954/4257 [04:24<09:46, 5.63 examples/s]" + "Map (num_proc=16): 23%|██▎ | 993/4257 [04:35<17:28, 3.11 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 724\n", - "invalid literal for int() with base 10: 'wells (15'\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 955/4257 [04:24<11:07, 4.95 examples/s]" + "Map (num_proc=16): 23%|██▎ | 996/4257 [04:35<10:54, 4.98 examples/s]" ] }, { @@ -13965,35 +22469,23 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR " ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 956/4257 [04:24<10:20, 5.32 examples/s]" + "Map (num_proc=16): 23%|██▎ | 997/4257 [04:36<11:23, 4.77 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "1422\n", + "invalid literal for int() with base 10: '2.2 '\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 559\n", - "'>=' not supported between instances of 'str' and 'int'\n", - "EEEERRRRRRR 1421\n", - "Could not convert string '28%29%42%20%16%11%' to numeric\n", - "EEEERRRRRRR 249Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "invalid literal for int() with base 10: '7 - 5 '\n", - "EEEERRRRRRR 174\n", - "Can only compare identically-labeled Series objects\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1120\n", - "index 0 is out of bounds for axis 0 with size 0\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -14003,43 +22495,24 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 22%|██▏ | 957/4257 [04:25<21:10, 2.60 examples/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 23%|██▎ | 958/4257 [04:25<20:04, 2.74 examples/s]" + "Map (num_proc=16): 23%|██▎ | 998/4257 [04:36<12:00, 4.52 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 86\n", - "invalid decimal literal (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1586\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 411\n", - "'winner'\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 959/4257 [04:26<25:29, 2.16 examples/s]" + "Map (num_proc=16): 23%|██▎ | 1000/4257 [04:36<09:43, 5.59 examples/s]" ] }, { @@ -14048,7 +22521,8 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 174\n", + "Could not convert string '02' to numeric\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -14057,7 +22531,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 961/4257 [04:26<17:47, 3.09 examples/s]" + "Map (num_proc=16): 24%|██▎ | 1002/4257 [04:36<10:18, 5.26 examples/s]" ] }, { @@ -14065,6 +22539,9 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 927\n", + "single positional indexer is out-of-bounds\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -14073,50 +22550,53 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 962/4257 [04:27<22:09, 2.48 examples/s]" + "Map (num_proc=16): 24%|██▎ | 1003/4257 [04:37<11:35, 4.68 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 926\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 963/4257 [04:28<27:18, 2.01 examples/s]" + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + "Map (num_proc=16): 24%|██▎ | 1004/4257 [04:37<13:08, 4.13 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 411\n", + "'str' object has no attribute 'astype'\n", + "EEEERRRRRRR'brazil scorers' \n", + "22'str' object is not callable\n", + "Can only use .dt accessor with datetimelike values\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 965/4257 [04:28<17:06, 3.21 examples/s]" + "Map (num_proc=16): 24%|██▎ | 1006/4257 [04:38<12:05, 4.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -14125,64 +22605,74 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 966/4257 [04:28<15:46, 3.48 examples/s]" + "Map (num_proc=16): 24%|██▎ | 1007/4257 [04:38<12:58, 4.18 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 560\n", + "'engine'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1121\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 967/4257 [04:28<14:45, 3.72 examples/s]" + "Map (num_proc=16): 24%|██▎ | 1010/4257 [04:38<12:22, 4.38 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.51271\n", + "\n", + "invalid literal for int() with base 10: 'w 116 '\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 803\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 488'brazil scorers'\n", - "\n", - "Can only use .dt accessor with datetimelike values\n", - "'str' object is not callable\n" + "EEEERRRRRRR 88\n", + "could not convert string to float: '14.20 (104)'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 968/4257 [04:29<14:48, 3.70 examples/s]" + "Map (num_proc=16): 24%|██▎ | 1011/4257 [04:39<17:51, 3.03 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 328\n", - "invalid syntax (, line 0)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 804\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 328\n", + "invalid literal for int() with base 10: 'l 83 'EEEERRRRRRR\n", + " 249\n", + "Can only use .str accessor with string values!\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 969/4257 [04:29<14:37, 3.75 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1012/4257 [04:40<20:36, 2.62 examples/s]" ] }, { @@ -14191,10 +22681,10 @@ "text": [ "'brazil scorers'\n", "'str' object is not callable\n", + "EEEERRRRRRR 488\n", + "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 724\n", - "Can only use .dt accessor with datetimelike values\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -14204,7 +22694,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 971/4257 [04:29<13:24, 4.08 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1014/4257 [04:40<17:17, 3.13 examples/s]" ] }, { @@ -14212,26 +22702,24 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 22\n", - "'int' object has no attribute 'shift'\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 972/4257 [04:30<16:17, 3.36 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1015/4257 [04:40<16:00, 3.38 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 559\n", - "Cannot use method 'nlargest' with dtype object\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 174\n", + "'>' not supported between instances of 'str' and 'int'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -14240,21 +22728,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 973/4257 [04:30<14:15, 3.84 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1016/4257 [04:41<16:47, 3.22 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 726\n", + "'>=' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 974/4257 [04:30<13:36, 4.02 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1017/4257 [04:42<27:54, 1.94 examples/s]" ] }, { @@ -14264,21 +22758,25 @@ "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 976/4257 [04:30<11:35, 4.72 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1020/4257 [04:42<16:59, 3.17 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1423\n", + "StringMethods.split() takes from 1 to 2 positional arguments but 3 were given\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -14288,21 +22786,30 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 978/4257 [04:31<09:32, 5.73 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1021/4257 [04:42<14:48, 3.64 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 805\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 927\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 979/4257 [04:31<09:59, 5.47 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1022/4257 [04:43<14:51, 3.63 examples/s]" ] }, { @@ -14310,7 +22817,10 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1586\n", + "EEEERRRRRRR 650\n", + "'declination ( j2000)'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1122\n", "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", @@ -14321,19 +22831,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 980/4257 [04:31<10:55, 5.00 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1023/4257 [04:44<26:15, 2.05 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 174\n", - "can only concatenate str (not \"int\") to str\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 926\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -14341,54 +22845,63 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 981/4257 [04:32<18:21, 2.97 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1024/4257 [04:44<22:19, 2.41 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 249\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 411\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 983/4257 [04:32<12:14, 4.46 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1025/4257 [04:45<22:51, 2.36 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 560\n", + "'engine'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1271\n", + "invalid literal for int() with base 10: 'w 116'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 87\n", - "'score to par'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 984/4257 [04:33<17:17, 3.15 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1026/4257 [04:45<28:55, 1.86 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", + "EEEERRRRRRR 23\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1591\n", + "single positional indexer is out-of-bounds\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 411\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -14398,7 +22911,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 986/4257 [04:33<14:05, 3.87 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1028/4257 [04:46<21:00, 2.56 examples/s]" ] }, { @@ -14407,25 +22920,23 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1121" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 988/4257 [04:33<11:20, 4.81 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1029/4257 [04:46<20:04, 2.68 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -14435,47 +22946,45 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 989/4257 [04:34<12:35, 4.32 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1031/4257 [04:46<14:56, 3.60 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 649\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 991/4257 [04:34<13:37, 4.00 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1032/4257 [04:47<14:58, 3.59 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "EEEERRRRRRR 488\n", - "Can only use .dt accessor with datetimelike values\n", + "0Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1586\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 992/4257 [04:35<18:02, 3.02 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1034/4257 [04:47<11:09, 4.81 examples/s]" ] }, { @@ -14483,35 +22992,30 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 805\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 993/4257 [04:35<17:28, 3.11 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1035/4257 [04:47<12:18, 4.36 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 996/4257 [04:35<10:54, 4.98 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1036/4257 [04:47<13:34, 3.95 examples/s]" ] }, { @@ -14519,41 +23023,47 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR " + "EEEERRRRRRR 174\n", + "Cannot use method 'nlargest' with dtype object\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 329\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 997/4257 [04:36<11:23, 4.77 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1037/4257 [04:48<23:03, 2.33 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "1422\n", - "invalid literal for int() with base 10: '2.2 '\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 998/4257 [04:36<12:00, 4.52 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1038/4257 [04:49<20:14, 2.65 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1124\n", + "'team'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -14562,26 +23072,24 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 23%|██▎ | 1000/4257 [04:36<09:43, 5.59 examples/s]" + "Map (num_proc=16): 24%|██▍ | 1041/4257 [04:49<15:44, 3.41 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 174\n", - "Could not convert string '02' to numeric\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▎ | 1002/4257 [04:36<10:18, 5.26 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1043/4257 [04:49<12:04, 4.44 examples/s]" ] }, { @@ -14589,9 +23097,6 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 927\n", - "single positional indexer is out-of-bounds\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -14600,7 +23105,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▎ | 1003/4257 [04:37<11:35, 4.68 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1044/4257 [04:50<16:43, 3.20 examples/s]" ] }, { @@ -14608,15 +23113,15 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR 561\n", + "Can only use .dt accessor with datetimelike values\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", - "Map (num_proc=16): 24%|██▎ | 1004/4257 [04:37<13:08, 4.13 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1045/4257 [04:50<16:42, 3.20 examples/s]" ] }, { @@ -14627,19 +23132,17 @@ "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 411\n", - "'str' object has no attribute 'astype'\n", - "EEEERRRRRRR'brazil scorers' \n", - "22'str' object is not callable\n", - "Can only use .dt accessor with datetimelike values\n", - "\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▎ | 1006/4257 [04:38<12:05, 4.48 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1048/4257 [04:51<11:38, 4.60 examples/s]" ] }, { @@ -14648,50 +23151,53 @@ "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "EEEERRRRRRR'brazil scorers' \n", + "726'str' object is not callable\n", + "\n", + "'>=' not supported between instances of 'str' and 'int'" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▎ | 1007/4257 [04:38<12:58, 4.18 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1050/4257 [04:51<09:59, 5.35 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 560\n", - "'engine'\n", + "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 929\n", + "EEEERRRRRRRThe truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). \n", + "250\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1121\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▎ | 1010/4257 [04:38<12:22, 4.38 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1052/4257 [04:52<11:30, 4.64 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.51271\n", - "\n", - "invalid literal for int() with base 10: 'w 116 '\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 88\n", - "could not convert string to float: '14.20 (104)'\n", + "EEEERRRRRRR 805\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 489\n", + "'>=' not supported between instances of 'str' and 'float'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -14699,21 +23205,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▎ | 1011/4257 [04:39<17:51, 3.03 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1053/4257 [04:52<12:53, 4.14 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 804\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 328\n", - "invalid literal for int() with base 10: 'l 83 'EEEERRRRRRR\n", - " 249\n", - "Can only use .str accessor with string values!\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] @@ -14722,45 +23220,41 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1012/4257 [04:40<20:36, 2.62 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1054/4257 [04:52<13:27, 3.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "EEEERRRRRRR 488\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 412\n", + "'nominations'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1014/4257 [04:40<17:17, 3.13 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1055/4257 [04:53<19:52, 2.69 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 1424\n", + "invalid syntax (, line 1)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1015/4257 [04:40<16:00, 3.38 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1056/4257 [04:53<17:18, 3.08 examples/s]" ] }, { @@ -14768,37 +23262,39 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 174\n", - "'>' not supported between instances of 'str' and 'int'\n", + "EEEERRRRRRR 650\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callableEEEERRRRRRR\n", + " " ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1016/4257 [04:41<16:47, 3.22 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1057/4257 [04:54<21:47, 2.45 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "90\n", + "False\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 726\n", - "'>=' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1017/4257 [04:42<27:54, 1.94 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1059/4257 [04:55<19:41, 2.71 examples/s]" ] }, { @@ -14807,26 +23303,21 @@ "text": [ "'brazil scorers'\n", "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1020/4257 [04:42<16:59, 3.17 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1061/4257 [04:55<13:18, 4.00 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1423\n", - "StringMethods.split() takes from 1 to 2 positional arguments but 3 were given\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -14836,30 +23327,29 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1021/4257 [04:42<14:48, 3.64 examples/s]" + "Map (num_proc=16): 25%|██▍ | 1062/4257 [04:55<13:27, 3.96 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 805\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 927\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "'brazil scorers''brazil scorers'\n", + "\n", + "'str' object is not callable'str' object is not callable\n", + "\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1022/4257 [04:43<14:51, 3.63 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1066/4257 [04:55<06:50, 7.77 examples/s]" ] }, { @@ -14867,11 +23357,7 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 650\n", - "'declination ( j2000)'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1122\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -14881,13 +23367,20 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1023/4257 [04:44<26:15, 2.05 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1068/4257 [04:56<11:11, 4.75 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 930\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -14895,7 +23388,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1024/4257 [04:44<22:19, 2.41 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1071/4257 [04:56<08:45, 6.07 examples/s]" ] }, { @@ -14903,90 +23396,88 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 411\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 805\n", + "Cannot perform 'rand_' with a dtyped [bool] array and scalar of type [bool]\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1424\n", + "invalid syntax (, line 1)\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 175\n", + "EEEERRRRRRR 'str' object has no attribute 'year'329\n", + "\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1025/4257 [04:45<22:51, 2.36 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1073/4257 [04:57<12:30, 4.24 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 560\n", - "'engine'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 25\n", + "Can only use .dt accessor with datetimelike values\n", + "EEEERRRRRRR 1273\n", + "'col'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1271\n", - "invalid literal for int() with base 10: 'w 116'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1026/4257 [04:45<28:55, 1.86 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1074/4257 [04:58<15:00, 3.54 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 23\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1591\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1028/4257 [04:46<21:00, 2.56 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1075/4257 [04:58<14:16, 3.71 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "EEEERRRRRRR 561\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1029/4257 [04:46<20:04, 2.68 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1076/4257 [04:58<12:47, 4.14 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 726\n", + "'>=' not supported between instances of 'str' and 'int'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -14996,7 +23487,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1031/4257 [04:46<14:56, 3.60 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1077/4257 [04:58<16:38, 3.18 examples/s]" ] }, { @@ -15012,29 +23503,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1032/4257 [04:47<14:58, 3.59 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1078/4257 [04:59<16:43, 3.17 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "EEEERRRRRRR 488\n", - "0Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1034/4257 [04:47<11:09, 4.81 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1080/4257 [04:59<13:19, 3.97 examples/s]" ] }, { @@ -15042,30 +23526,37 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 805\n", + "EEEERRRRRRR 251\n", "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1035/4257 [04:47<12:18, 4.36 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1081/4257 [04:59<15:07, 3.50 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 90\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1036/4257 [04:47<13:34, 3.95 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1082/4257 [05:00<16:27, 3.21 examples/s]" ] }, { @@ -15073,25 +23564,24 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 174\n", - "Cannot use method 'nlargest' with dtype object\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 329\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1037/4257 [04:48<23:03, 2.33 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1083/4257 [05:00<14:49, 3.57 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -15099,7 +23589,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1038/4257 [04:49<20:14, 2.65 examples/s]" + "Map (num_proc=16): 25%|██▌ | 1085/4257 [05:00<11:46, 4.49 examples/s]" ] }, { @@ -15110,9 +23600,20 @@ "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1595\n", + "The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()\n", + "EEEERRRRRRR 489\n", + "'>' not supported between instances of 'str' and 'float'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 651\n", + "index 0 is out of bounds for axis 0 with size 0\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1124\n", - "'team'\n", + "EEEERRRRRRR 412\n", + "'age'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1424\n", + "invalid syntax (, line 0)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -15122,7 +23623,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 24%|██▍ | 1041/4257 [04:49<15:44, 3.41 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1087/4257 [05:01<17:26, 3.03 examples/s]" ] }, { @@ -15132,111 +23633,105 @@ "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1043/4257 [04:49<12:04, 4.44 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1089/4257 [05:02<13:32, 3.90 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1044/4257 [04:50<16:43, 3.20 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1090/4257 [05:02<12:48, 4.12 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 561\n", - "Can only use .dt accessor with datetimelike values\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1045/4257 [04:50<16:42, 3.20 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1091/4257 [05:02<11:18, 4.67 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1275\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 930\n", + "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'str' object is not callable\n" + "'brazil scorers''str' object is not callable\n", + "\n", + "'str' object is not callable" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1048/4257 [04:51<11:38, 4.60 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1092/4257 [05:02<13:25, 3.93 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR'brazil scorers' \n", - "726'str' object is not callable\n", - "\n", - "'>=' not supported between instances of 'str' and 'int'" + "EEEERRRRRRR 727\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "EEEERRRRRRR 561\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1050/4257 [04:51<09:59, 5.35 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1094/4257 [05:03<16:24, 3.21 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 929\n", - "EEEERRRRRRRThe truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). \n", - "250\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1052/4257 [04:52<11:30, 4.64 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1096/4257 [05:03<12:56, 4.07 examples/s]" ] }, { @@ -15244,10 +23739,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 805\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 489\n", - "'>=' not supported between instances of 'str' and 'float'\n", + "EEEERRRRRRR 251\n", + "'retired'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -15255,7 +23748,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1053/4257 [04:52<12:53, 4.14 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1097/4257 [05:04<14:51, 3.54 examples/s]" ] }, { @@ -15263,14 +23756,15 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1054/4257 [04:52<13:27, 3.97 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1098/4257 [05:04<15:43, 3.35 examples/s]" ] }, { @@ -15278,25 +23772,21 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 412\n", - "'nominations'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1055/4257 [04:53<19:52, 2.69 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1099/4257 [05:04<13:18, 3.95 examples/s]" ] }, { "name": "stdout", "output_type": "stream", - "text": [ - "EEEERRRRRRR 1424\n", - "invalid syntax (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -15304,7 +23794,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1056/4257 [04:53<17:18, 3.08 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1100/4257 [05:04<11:48, 4.46 examples/s]" ] }, { @@ -15312,47 +23802,49 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 650\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callableEEEERRRRRRR\n", - " " + "EEEERRRRRRR 'brazil scorers'331\n", + "'str' object is not callable\n", + "\n", + "Can only use .dt accessor with datetimelike values\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1057/4257 [04:54<21:47, 2.45 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1101/4257 [05:05<12:47, 4.11 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "90\n", - "False\n", "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR'brazil scorers' \n", + "1134'str' object is not callable\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1059/4257 [04:55<19:41, 2.71 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1103/4257 [05:05<14:24, 3.65 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1595\n", + "'long row'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -15360,7 +23852,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1061/4257 [04:55<13:18, 4.00 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1104/4257 [05:06<16:19, 3.22 examples/s]" ] }, { @@ -15377,29 +23869,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▍ | 1062/4257 [04:55<13:27, 3.96 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1106/4257 [05:06<12:05, 4.35 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers''brazil scorers'\n", - "\n", - "'str' object is not callable'str' object is not callable\n", - "\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1066/4257 [04:55<06:50, 7.77 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1107/4257 [05:06<13:33, 3.87 examples/s]" ] }, { @@ -15407,8 +23893,8 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 806\n", + "'time'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -15417,49 +23903,33 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1068/4257 [04:56<11:11, 4.75 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1108/4257 [05:06<12:50, 4.09 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 930\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1071/4257 [04:56<08:45, 6.07 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1110/4257 [05:07<11:47, 4.45 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 805\n", - "Cannot perform 'rand_' with a dtyped [bool] array and scalar of type [bool]\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1424\n", - "invalid syntax (, line 1)\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 175\n", - "EEEERRRRRRR 'str' object has no attribute 'year'329\n", - "\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -15467,68 +23937,93 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1073/4257 [04:57<12:30, 4.24 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1111/4257 [05:07<11:20, 4.62 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 490\n", + "'rank'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 25\n", - "Can only use .dt accessor with datetimelike values\n", - "EEEERRRRRRR 1273\n", - "'col'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1074/4257 [04:58<15:00, 3.54 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1112/4257 [05:07<11:41, 4.49 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 727\n", + "'>=' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 561\n", + "Can only use .dt accessor with datetimelike values\n", + "EEEERRRRRRR 1425\n", + "single positional indexer is out-of-bounds\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 175\n", + "unsupported operand type(s) for -: 'str' and 'str'\n", + "EEEERRRRRRR " ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1075/4257 [04:58<14:16, 3.71 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1113/4257 [05:08<18:18, 2.86 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 561\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "412\n", + "'>' not supported between instances of 'str' and 'int'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1596\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 930\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1076/4257 [04:58<12:47, 4.14 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1115/4257 [05:09<19:14, 2.72 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 726\n", - "'>=' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 651\n", + "'school'\n", "'brazil scorers'\n", "'str' object is not callable\n" ] @@ -15537,13 +24032,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1077/4257 [04:58<16:38, 3.18 examples/s]" + "Map (num_proc=16): 26%|██▌ | 1117/4257 [05:09<15:23, 3.40 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "EEEERRRRRRR 25\n", + "Can only use .dt accessor with datetimelike values\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -15553,7 +24052,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1078/4257 [04:59<16:43, 3.17 examples/s]" + "Map (num_proc=16): 26%|██▋ | 1118/4257 [05:09<15:11, 3.44 examples/s]" ] }, { @@ -15561,14 +24060,15 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1080/4257 [04:59<13:19, 3.97 examples/s]" + "Map (num_proc=16): 26%|██▋ | 1119/4257 [05:10<13:54, 3.76 examples/s]" ] }, { @@ -15576,43 +24076,46 @@ "output_type": "stream", "text": [ "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 251\n", + "EEEERRRRRRR 728\n", "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1081/4257 [04:59<15:07, 3.50 examples/s]" + "Map (num_proc=16): 26%|██▋ | 1120/4257 [05:11<22:48, 2.29 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + " 1276\n", + "'goals_conceded'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 90\n", - "index 0 is out of bounds for axis 0 with size 0\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1082/4257 [05:00<16:27, 3.21 examples/s]" + "Map (num_proc=16): 26%|██▋ | 1121/4257 [05:11<21:03, 2.48 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 1134\n", + "'no'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 806\n", + "'time'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -15622,48 +24125,29 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1083/4257 [05:00<14:49, 3.57 examples/s]" + "Map (num_proc=16): 26%|██▋ | 1122/4257 [05:11<23:27, 2.23 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 25%|██▌ | 1085/4257 [05:00<11:46, 4.49 examples/s]" + "Map (num_proc=16): 26%|██▋ | 1123/4257 [05:12<18:38, 2.80 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1595\n", - "The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()\n", - "EEEERRRRRRR 489\n", - "'>' not supported between instances of 'str' and 'float'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 651\n", - "index 0 is out of bounds for axis 0 with size 0\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 412\n", - "'age'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1424\n", - "invalid syntax (, line 0)\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", "'str' object is not callable\n" @@ -15673,7 +24157,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1087/4257 [05:01<17:26, 3.03 examples/s]" + "Map (num_proc=16): 26%|██▋ | 1124/4257 [05:12<17:03, 3.06 examples/s]" ] }, { @@ -15682,23 +24166,27 @@ "text": [ "'brazil scorers'\n", "'str' object is not callable\n", + "EEEERRRRRRR 90\n", + "could not convert string to float: ' degree20′53″'\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1089/4257 [05:02<13:32, 3.90 examples/s]" + "Map (num_proc=16): 26%|██▋ | 1126/4257 [05:12<14:50, 3.52 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -15706,74 +24194,83 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1090/4257 [05:02<12:48, 4.12 examples/s]" + "Map (num_proc=16): 26%|██▋ | 1128/4257 [05:13<13:05, 3.98 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 331\n", + "'>' not supported between instances of 'str' and 'Timestamp'\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 412\n", + "'nominations'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1091/4257 [05:02<11:18, 4.67 examples/s]" + "Map (num_proc=16): 27%|██▋ | 1131/4257 [05:13<13:24, 3.89 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 1275\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 930\n", - "Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]\n", + "EEEERRRRRRR 490\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 651\n", + "single positional indexer is out-of-bounds\n", + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "EEEERRRRRRR 561\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "'brazil scorers'\n", - "'brazil scorers''str' object is not callable\n", - "\n", - "'str' object is not callable" + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1092/4257 [05:02<13:25, 3.93 examples/s]" + "Map (num_proc=16): 27%|██▋ | 1132/4257 [05:14<17:32, 2.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 727\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "EEEERRRRRRR 561\n", - "Can only use .dt accessor with datetimelike values\n", + "'brazil scorers'\n", + "'str' object is not callable\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", + "'brazil scorers'\n", + "'str' object is not callable\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1094/4257 [05:03<16:24, 3.21 examples/s]" + "Map (num_proc=16): 27%|██▋ | 1134/4257 [05:15<15:24, 3.38 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" ] }, @@ -15781,1477 +24278,2315 @@ "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1096/4257 [05:03<12:56, 4.07 examples/s]" + "Map (num_proc=16): 27%|██▋ | 1135/4257 [05:15<14:24, 3.61 examples/s]" ] - }, + } + ], + "source": [ + "from functools import partial\n", + "dont_run_correcting = dont_run.map(partial(dataset_processing,query_field='nlsep',system_correcting_prompt=system_correcting_prompt,\n", + " system_prompt=system_prompt),num_proc=16)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 208, + "id": "c68508a7-8abf-49a1-9e45-05dca33cde33", + "metadata": {}, + "outputs": [], + "source": [ + "data = load_from_disk('tab_fact_test_xml_nlsep_correct/')" + ] + }, + { + "cell_type": "code", + "execution_count": 209, + "id": "86f67bc6-2b23-4712-9618-0404a2e55c96", + "metadata": {}, + "outputs": [], + "source": [ + "d2 = data.filter(lambda x : x['nlsep_answ_correct'] != 'None',num_proc=17)" + ] + }, + { + "cell_type": "code", + "execution_count": 210, + "id": "5375d880-9ba5-4d3b-89c3-78a3368e333e", + "metadata": {}, + "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 251\n", - "'retired'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct', 'nlsep_label_correct'],\n", + " num_rows: 471\n", + "})" + ] + }, + "execution_count": 210, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d2" + ] + }, + { + "cell_type": "code", + "execution_count": 179, + "id": "0aa1d3c0-6a98-4c39-848d-bcfae4db4cff", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'id': 0,\n", + " 'table_csv': '2-1570274-4.html.csv',\n", + " 'table_text': 'tournament#wins#top - 5#top - 10#top - 25#events#cuts made\\nmasters tournament#0#1#2#4#4#4\\nus open#0#2#3#4#6#5\\nthe open championship#1#2#2#2#3#3\\npga championship#0#0#1#2#5#4\\ntotals#1#5#8#12#18#16\\n',\n", + " 'label': 1,\n", + " 'statement': 'tony lema do not win in the us open',\n", + " 'table_caption': 'tony lema',\n", + " 'nlsep_query': 'tony lema do not win in the us open col : tournament | wins | top - 5 | top - 10 | top - 25 | events | cuts made row 1 : masters tournament | 0 | 1 | 2 | 4 | 4 | 4 row 2 : us open | 0 | 2 | 3 | 4 | 6 | 5 row 3 : the open championship | 1 | 2 | 2 | 2 | 3 | 3 row 4 : pga championship | 0 | 0 | 1 | 2 | 5 | 4 row 5 : totals | 1 | 5 | 8 | 12 | 18 | 16',\n", + " 'semtab_query': 'tony lema do not win in the us open tony lema
          tournamentcategory - 1.0\"str\"0[\"us open\", \"the open championship\", \"pga championship\"]
          winsrank - 1.0\"int\"0[0, 1, 0]
          top - 5rank - 1.0\"int\"0[5, 2, 1]
          top - 10rank - 1.0\"int\"0[8, 2, 1]
          top - 25rank - 0.99\"int\"0[4, 12, 4]
          eventsduration - 0.73\"int\"0[6, 4, 18]
          cuts maderank - 0.99\"int\"0[4, 3, 5]
          ',\n", + " 'nlsep_answ': 'Here is the Python code that translates the given natural language statement into a single-line pandas expression. This expression checks if Tony Lema did not win in the US Open.\\n\\n```json\\n\"PANDA\": \"df.loc[df[\\'tournament\\'] == \\'us open\\', \\'wins\\'].any().tolist() == 0\"\\n```\\n\\nThis code first locates the row where the \\'tournament\\' column is \\'us open\\', and then checks if the \\'wins\\' column in that row is 0. If it is, the expression returns True, otherwise it returns False.\\n',\n", + " 'nlsep_label': 'True',\n", + " 'nlsep_answ_correct': 'None'}" + ] + }, + "execution_count": 179, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "data[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 240, + "id": "443a0c2b-4da1-4ea6-aae5-9ca04bfbc072", + "metadata": {}, + "outputs": [ + { + "ename": "KeyError", + "evalue": "'tournament'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/indexes/base.py:3812\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3811\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3812\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3813\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", + "File \u001b[0;32mpandas/_libs/index.pyx:167\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/index.pyx:196\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7088\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7096\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'tournament'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[240], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;43meval\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mparse_panda_code\u001b[49m\u001b[43m(\u001b[49m\u001b[43md2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mnlsep_answ\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m:1\u001b[0m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/frame.py:4113\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 4112\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_multilevel(key)\n\u001b[0;32m-> 4113\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4114\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[1;32m 4115\u001b[0m indexer \u001b[38;5;241m=\u001b[39m [indexer]\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/indexes/base.py:3819\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3814\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m 3815\u001b[0m \u001b[38;5;28misinstance\u001b[39m(casted_key, abc\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m 3816\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[1;32m 3817\u001b[0m ):\n\u001b[1;32m 3818\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3819\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 3820\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m 3821\u001b[0m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m 3822\u001b[0m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m 3823\u001b[0m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n\u001b[1;32m 3824\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n", + "\u001b[0;31mKeyError\u001b[0m: 'tournament'" ] - }, + } + ], + "source": [ + "eval(parse_panda_code(d2[0]['nlsep_answ']))" + ] + }, + { + "cell_type": "markdown", + "id": "6520fc31-941e-4a62-9bf2-063d4345ca03", + "metadata": {}, + "source": [ + "# Traceback\n" + ] + }, + { + "cell_type": "code", + "execution_count": 243, + "id": "f0e1d0f9-f8e9-40a8-8cea-a5fa803e62d8", + "metadata": {}, + "outputs": [], + "source": [ + "import traceback" + ] + }, + { + "cell_type": "code", + "execution_count": 248, + "id": "a7fb770b-f072-48c0-b95d-23386da7eab1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'id': 0,\n", + " 'table_csv': '2-1570274-4.html.csv',\n", + " 'table_text': 'tournament#wins#top - 5#top - 10#top - 25#events#cuts made\\nmasters tournament#0#1#2#4#4#4\\nus open#0#2#3#4#6#5\\nthe open championship#1#2#2#2#3#3\\npga championship#0#0#1#2#5#4\\ntotals#1#5#8#12#18#16\\n',\n", + " 'label': 0,\n", + " 'statement': 'tournament that tony lema have not participate in include the master tournament , the us open , the pga championship and the open championship',\n", + " 'table_caption': 'tony lema',\n", + " 'nlsep_query': 'tournament that tony lema have not participate in include the master tournament , the us open , the pga championship and the open championship col : tournament | wins | top - 5 | top - 10 | top - 25 | events | cuts made row 1 : masters tournament | 0 | 1 | 2 | 4 | 4 | 4 row 2 : us open | 0 | 2 | 3 | 4 | 6 | 5 row 3 : the open championship | 1 | 2 | 2 | 2 | 3 | 3 row 4 : pga championship | 0 | 0 | 1 | 2 | 5 | 4 row 5 : totals | 1 | 5 | 8 | 12 | 18 | 16',\n", + " 'semtab_query': 'tournament that tony lema have not participate in include the master tournament , the us open , the pga championship and the open championship tony lema
          tournamentcategory - 1.0\"str\"0[\"us open\", \"totals\", \"masters tournament\"]
          winsrank - 1.0\"int\"0[0, 1, 0]
          top - 5rank - 1.0\"int\"0[2, 2, 1]
          top - 10rank - 1.0\"int\"0[3, 8, 1]
          top - 25rank - 0.99\"int\"0[4, 4, 12]
          eventsduration - 0.73\"int\"0[6, 5, 4]
          cuts maderank - 0.99\"int\"0[4, 16, 4]
          ',\n", + " 'nlsep_answ': 'Here is the Python code in pandas that verifies the statement:\\n\\n```json\\n\"PANDA\": \"df[df[\\'tournament\\'].isin([\\'the master tournament\\', \\'the us open\\', \\'the pga championship\\', \\'the open championship\\']) & (df[\\'participant\\'] != \\'tony lema\\')].empty\"\\n```\\n\\nThis code checks if there are any rows in the dataframe where the tournament is in the list of tournaments and the participant is not Tony LeMa. If there are no such rows, it returns True, otherwise it returns False.\\n',\n", + " 'nlsep_label': 'None',\n", + " 'nlsep_answ_correct': 'The error in the code is that the \\'participant\\' column does not exist in the dataframe. The correct column to check is \\'wins\\'. Here is the corrected code:\\n\\n```python\\ndf[df[\\'tournament\\'].isin([\\'the master tournament\\', \\'the us open\\', \\'the pga championship\\', \\'the open championship\\']) & (df[\\'wins\\'] == 0)].empty\\n```\\n\\nThis code checks if there are any rows in the dataframe where the \\'tournament\\' column is in the given list and the \\'wins\\' column is 0. If there are no such rows, it returns True, otherwise it returns False.\\n\\nHere is the Json Format:\\n\\n```json\\n{\\n \"CORRECT PANDA\": \"df[df[\\'tournament\\'].isin([\\'the master tournament\\', \\'the us open\\', \\'the pga championship\\', \\'the open championship\\']) & (df[\\'wins\\'] == 0)].empty\"\\n}\\n```\\n',\n", + " 'nlsep_label_correct': 'True'}" + ] + }, + "execution_count": 248, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d2[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 249, + "id": "25cf2de6-e9fe-4de0-9ac5-f804fa494cd7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          tournamentwinstop - 5top - 10top - 25eventscuts made
          0masters tournament012444
          1us open023465
          2the open championship122233
          3pga championship001254
          4totals158121816
          \n", + "
          " + ], + "text/plain": [ + " tournament wins top - 5 top - 10 top - 25 events cuts made\n", + "0 masters tournament 0 1 2 4 4 4\n", + "1 us open 0 2 3 4 6 5\n", + "2 the open championship 1 2 2 2 3 3\n", + "3 pga championship 0 0 1 2 5 4\n", + "4 totals 1 5 8 12 18 16" + ] + }, + "execution_count": 249, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv(StringIO(d2[0]['table_text']), delimiter='#')\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 246, + "id": "081686fe-662a-47eb-8e53-c72863932eb3", + "metadata": {}, + "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 26%|██▌ | 1097/4257 [05:04<14:51, 3.54 examples/s]" - ] - }, + "data": { + "text/plain": [ + "\"df[df['tournament'].isin(['the master tournament', 'the us open', 'the pga championship', 'the open championship']) & (df['participant'] != 'tony lema')].empty\"" + ] + }, + "execution_count": 246, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "parse_panda_code(d2[0]['nlsep_answ'])" + ] + }, + { + "cell_type": "code", + "execution_count": 292, + "id": "28b29da4-3ee3-42a5-b0df-39f05d4b134a", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 26%|██▌ | 1098/4257 [05:04<15:43, 3.35 examples/s]" + "KeyError: 'participant'\n" ] - }, + } + ], + "source": [ + "try:\n", + " p=parse_panda_code(d2[0]['nlsep_answ'])\n", + " eval(p)\n", + "except Exception as e:\n", + " print (f'{type(e).__name__}: {e}')\n", + " \n", + " #traceback.print_exc()\n", + " x = traceback.format_exc()\n", + " #print(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 301, + "id": "1c19b750-8b68-466b-b5a0-20ce9ed485b6", + "metadata": {}, + "outputs": [], + "source": [ + "p = df.info" + ] + }, + { + "cell_type": "code", + "execution_count": 318, + "id": "aba0fd83-c333-4f11-8848-3b0935a87fd7", + "metadata": {}, + "outputs": [], + "source": [ + "p = df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 319, + "id": "c089588a-0bc7-42a5-b0da-c48eb3b0c39b", + "metadata": {}, + "outputs": [], + "source": [ + "p = p.to_string()" + ] + }, + { + "cell_type": "code", + "execution_count": 322, + "id": "2c5bcd86-f4ba-4b02-b588-dd6c3ea548a5", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "tournament object\n", + "wins int64\n", + "top - 5 int64\n", + "top - 10 int64\n", + "top - 25 int64\n", + "events int64\n", + "cuts made int64\n" ] - }, + } + ], + "source": [ + "print(p)" + ] + }, + { + "cell_type": "code", + "execution_count": 194, + "id": "1f0a97ae-6100-4c18-b3d9-28f97aeab0c2", + "metadata": {}, + "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 26%|██▌ | 1099/4257 [05:04<13:18, 3.95 examples/s]" - ] - }, + "data": { + "text/plain": [ + "\"df['total'].isin([df.loc[df['player'] == 'matías suárez', 'total'].values[0] + 4]).any()\"" + ] + }, + "execution_count": 194, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "parse_panda_code(d2[2]['nlsep_answ_correct'])" + ] + }, + { + "cell_type": "code", + "execution_count": 180, + "id": "89bb5654-775a-4075-bae6-76708c11a1b5", + "metadata": {}, + "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" - ] - }, + "data": { + "text/plain": [ + "{'id': 12,\n", + " 'table_csv': '2-13135264-6.html.csv',\n", + " 'table_text': 'date#visitor#score#home#decision#attendance#record\\njanuary 2#detroit#4 - 1#carolina#joseph#17053#24 - 12 - 4 - 1\\njanuary 3#anaheim#1 - 3#detroit#legace#20066#25 - 12 - 4 - 1\\njanuary 5#nashville#0 - 6#detroit#joseph#20066#26 - 12 - 4 - 1\\njanuary 7#boston#3 - 0#detroit#joseph#20066#26 - 13 - 4 - 1\\njanuary 10#detroit#1 - 2#boston#joseph#17565#26 - 13 - 4 - 2\\njanuary 14#chicago#2 - 4#detroit#legace#20066#27 - 13 - 4 - 2\\njanuary 16#phoenix#3 - 3#detroit#joseph#20066#27 - 13 - 5 - 2\\njanuary 19#detroit#1 - 2#san jose#joseph#17361#27 - 14 - 5 - 2\\njanuary 21#detroit#2 - 2#anaheim#legace#17174#27 - 14 - 6 - 2\\njanuary 22#detroit#5 - 4#los angeles#joseph#18118#28 - 14 - 6 - 2\\njanuary 24#detroit#2 - 5#phoenix#joseph#19019#28 - 15 - 6 - 2\\njanuary 26#detroit#2 - 2#dallas#legace#18532#28 - 15 - 7 - 2\\njanuary 29#new jersey#2 - 5#detroit#joseph#20066#29 - 15 - 7 - 2\\njanuary 31#carolina#4 - 4#detroit#legace#20066#30 - 15 - 8 - 2\\n',\n", + " 'label': 0,\n", + " 'statement': 'there be a tie for the largest point gap 2 time during the season',\n", + " 'table_caption': '2003 - 04 detroit red wings season',\n", + " 'nlsep_query': 'there be a tie for the largest point gap 2 time during the season col : date | visitor | score | home | decision | attendance | record row 1 : january 2 | detroit | 4 - 1 | carolina | joseph | 17053 | 24 - 12 - 4 - 1 row 2 : january 3 | anaheim | 1 - 3 | detroit | legace | 20066 | 25 - 12 - 4 - 1 row 3 : january 5 | nashville | 0 - 6 | detroit | joseph | 20066 | 26 - 12 - 4 - 1 row 4 : january 7 | boston | 3 - 0 | detroit | joseph | 20066 | 26 - 13 - 4 - 1 row 5 : january 10 | detroit | 1 - 2 | boston | joseph | 17565 | 26 - 13 - 4 - 2 row 6 : january 14 | chicago | 2 - 4 | detroit | legace | 20066 | 27 - 13 - 4 - 2 row 7 : january 16 | phoenix | 3 - 3 | detroit | joseph | 20066 | 27 - 13 - 5 - 2 row 8 : january 19 | detroit | 1 - 2 | san jose | joseph | 17361 | 27 - 14 - 5 - 2 row 9 : january 21 | detroit | 2 - 2 | anaheim | legace | 17174 | 27 - 14 - 6 - 2 row 10 : january 22 | detroit | 5 - 4 | los angeles | joseph | 18118 | 28 - 14 - 6 - 2 row 11 : january 24 | detroit | 2 - 5 | phoenix | joseph | 19019 | 28 - 15 - 6 - 2 row 12 : january 26 | detroit | 2 - 2 | dallas | legace | 18532 | 28 - 15 - 7 - 2 row 13 : january 29 | new jersey | 2 - 5 | detroit | joseph | 20066 | 29 - 15 - 7 - 2 row 14 : january 31 | carolina | 4 - 4 | detroit | legace | 20066 | 30 - 15 - 8 - 2',\n", + " 'semtab_query': 'there be a tie for the largest point gap 2 time during the season 2003 - 04 detroit red wings season
          dateday - 0.96\"str\"0[\"january 19\", \"january 3\", \"january 26\"]
          visitorcity - 0.96\"str\"0[\"boston\", \"detroit\", \"detroit\"]
          scoreweight - 0.59\"str\"0[\"3 - 0\", \"1 - 2\", \"2 - 5\"]
          hometeam - 1.0\"str\"0[\"detroit\", \"san jose\", \"detroit\"]
          decisionname - 1.0\"str\"0[\"joseph\", \"legace\", \"joseph\"]
          attendancedepth - 0.85\"int\"0[20066, 17174, 17361]
          recordage - 0.88\"str\"0[\"28 - 15 - 7 - 2\", \"26 - 13 - 4 - 2\", \"25 - 12 - 4 - 1\"]
          ',\n", + " 'nlsep_answ': '```json\\n\"PANDA\": \"df.groupby([\\'home\\', \\'visitor\\'])[\\'score\\'].apply(lambda x: x.str.split(\\'-\\', expand=True).apply(lambda y: abs(int(y[0]) - int(y[1])), axis=1).max().nlargest(2).index.duplicated().any()\"\\n```\\nThis code groups the DataFrame by \\'home\\' and \\'visitor\\' columns, then for each group it calculates the maximum point gap between the scores. It then checks if there are any duplicated values in the top 2 maximum point gaps, indicating a tie.\\n',\n", + " 'nlsep_label': 'False',\n", + " 'nlsep_answ_correct': 'The error in the code is due to an unbalanced parentheses. Here is the corrected code:\\n\\n```python\\npandas_code = \"(df[\\'score\\'].str.split(\\'-\\', expand=True)[0].astype(int) - df[\\'score\\'].str.split(\\'-\\', expand=True)[1].astype(int)).nunique() == 2\"\\n```\\n\\nThis code calculates the point gap between the home and visitor scores and checks if there are two unique values, which would indicate a tie for the largest point gap twice during the season.\\n\\nPlease note that the pandas_code must be a boolean. To ensure this, you can wrap the expression in a bool() function:\\n\\n```python\\npandas_code = \"bool((df[\\'score\\'].str.split(\\'-\\', expand=True)[0].astype(int) - df[\\'score\\'].str.split(\\'-\\', expand=True)[1].astype(int)).nunique() == 2)\"\\n```\\n\\nNow, when you run `str(bool(eval(pandas_code)))`, it should return `True` if there are two unique largest point gap values and `False` otherwise.\\n\\nPlease note that using `eval` can be dangerous if the input is not trusted, as it can execute any Python code. In this case, it is safe to use because the pandas_code is being constructed manually and not derived from user input.\\n\\nThe output in the Json format will be:\\n\\n```json\\n{\\n \"CORRECT PANDA\": \"bool((df[\\'score\\'].str.split(\\'-\\', expand=True)[0].astype(int) - df[\\'score\\'].str.split(\\'-\\', expand=True)[1].astype(int)).nunique() == 2)\"\\n}\\n```\\n'}" + ] + }, + "execution_count": 180, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d2[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 196, + "id": "7ea78d2c-682c-401e-9721-dca71de9ab0e", + "metadata": {}, + "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1100/4257 [05:04<11:48, 4.46 examples/s]" + "Filter (num_proc=17): 100%|██████████| 471/471 [00:00<00:00, 974.02 examples/s]\n" ] - }, + } + ], + "source": [ + "d3 = d2.filter(lambda x : x['nlsep_label'] != 'None',num_proc=17)" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "id": "897be776-d045-4073-9d12-b5329a5d5889", + "metadata": {}, + "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 'brazil scorers'331\n", - "'str' object is not callable\n", - "\n", - "Can only use .dt accessor with datetimelike values\n" - ] - }, + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct', 'nlsep_label_correct'],\n", + " num_rows: 0\n", + "})" + ] + }, + "execution_count": 197, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d3" + ] + }, + { + "cell_type": "code", + "execution_count": 200, + "id": "39c4d23e-4976-45b1-9e3e-1469c0f35e88", + "metadata": {}, + "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1101/4257 [05:05<12:47, 4.11 examples/s]" + "Filter (num_proc=17): 100%|██████████| 471/471 [00:00<00:00, 918.59 examples/s]\n" ] - }, + } + ], + "source": [ + "d3 = d2.filter(lambda x : x['nlsep_label_correct']==str(bool(x['label'])),num_proc=17)" + ] + }, + { + "cell_type": "code", + "execution_count": 201, + "id": "238af416-0f43-4c15-8d20-021d53adfc9c", + "metadata": {}, + "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR'brazil scorers' \n", - "1134'str' object is not callable\n", - "\n" - ] - }, + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct', 'nlsep_label_correct'],\n", + " num_rows: 296\n", + "})" + ] + }, + "execution_count": 201, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d3" + ] + }, + { + "cell_type": "code", + "execution_count": 205, + "id": "0cc4f74e-81ad-4afe-b920-20e40da86a7c", + "metadata": {}, + "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 26%|██▌ | 1103/4257 [05:05<14:24, 3.65 examples/s]" - ] - }, + "data": { + "text/plain": [ + "date object\n", + "result object\n", + "score object\n", + "brazil scorers object\n", + "competition object\n", + "dtype: object" + ] + }, + "execution_count": 205, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 204, + "id": "97cd2a90-0b17-499a-8620-eed8408962c4", + "metadata": {}, + "outputs": [], + "source": [ + "for col in df.columns:\n", + " try:\n", + " df[col] = pd.to_numeric(df[col])\n", + " except ValueError:\n", + " # Если возникает ошибка, оставляем столбец как есть\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 206, + "id": "c9d84ec7-3f0a-4052-8c9f-7fd4bfaa4928", + "metadata": {}, + "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1595\n", - "'long row'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" - ] - }, + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          dateresultscorebrazil scorerscompetition
          0may 11 , 1919w6 - 0friedenreich (3) , neco (2) , haroldosouth american championship
          1may 18 , 1919w3 - 1heitor , amílcar , millonsouth american championship
          2may 26 , 1919d2 - 2neco (2)south american championship
          3may 29 , 1919w1 - 0friedenreichsouth american championship
          4june 1 , 1919d3 - 3haroldo , arlindo (2)taça roberto cherry
          \n", + "
          " + ], + "text/plain": [ + " date result score brazil scorers \\\n", + "0 may 11 , 1919 w 6 - 0 friedenreich (3) , neco (2) , haroldo \n", + "1 may 18 , 1919 w 3 - 1 heitor , amílcar , millon \n", + "2 may 26 , 1919 d 2 - 2 neco (2) \n", + "3 may 29 , 1919 w 1 - 0 friedenreich \n", + "4 june 1 , 1919 d 3 - 3 haroldo , arlindo (2) \n", + "\n", + " competition \n", + "0 south american championship \n", + "1 south american championship \n", + "2 south american championship \n", + "3 south american championship \n", + "4 taça roberto cherry " + ] + }, + "execution_count": 206, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 212, + "id": "62e0832f-ebf6-42a9-9f44-01540151b6e1", + "metadata": {}, + "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1104/4257 [05:06<16:19, 3.22 examples/s]" + "Filter (num_proc=17): 100%|██████████| 4257/4257 [00:00<00:00, 8874.34 examples/s]\n" ] - }, + } + ], + "source": [ + "data = load_from_disk('tab_fact_test_xml_nlsep_correct_dtype/')\n", + "d2 = data.filter(lambda x : x['nlsep_answ_correct'] != 'None',num_proc=17)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 213, + "id": "0c7637b6-856f-41be-be10-e23e7646d82e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct', 'nlsep_label_correct'],\n", + " num_rows: 415\n", + "})" + ] + }, + "execution_count": 213, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d2" + ] + }, + { + "cell_type": "code", + "execution_count": 214, + "id": "454a3226-c3bd-4bd9-baab-ff2b92cf017d", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", + " num_rows: 12779\n", + "})\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1106/4257 [05:06<12:05, 4.35 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 27151.13 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", + " num_rows: 12779\n", + "})\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1107/4257 [05:06<13:33, 3.87 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25923.24 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 806\n", - "'time'\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", + " num_rows: 8974\n", + "})\n", + "70.22458721339699\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1108/4257 [05:06<12:50, 4.09 examples/s]" + "Filter (num_proc=17): 100%|██████████| 8974/8974 [00:00<00:00, 18914.21 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "42.92980671414038\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1110/4257 [05:07<11:47, 4.45 examples/s]" + "\n" ] - }, + } + ], + "source": [ + "process_data = load_from_disk('./tab_fact_test_xml_nlsep_new_correct//')\n", + "print(process_data)\n", + "dd = process_data.filter(lambda x: True if x['nlsep_answ']!='None' else False,num_proc=17)\n", + "print(dd)\n", + "dd = process_data.filter(lambda x: True if x['nlsep_label']!='None' else False,num_proc=17)\n", + "print(dd)\n", + "print(dd.shape[0]/process_data.shape[0]*100)\n", + "true = dd.filter(lambda x : True if x['nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print(true.shape[0]/process_data.shape[0]*100)" + ] + }, + { + "cell_type": "code", + "execution_count": 217, + "id": "2e895222-3547-4af0-b81a-7a317d9ad273", + "metadata": {}, + "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" - ] - }, + "data": { + "text/plain": [ + "{'id': 0,\n", + " 'table_csv': '2-1570274-4.html.csv',\n", + " 'table_text': 'tournament#wins#top - 5#top - 10#top - 25#events#cuts made\\nmasters tournament#0#1#2#4#4#4\\nus open#0#2#3#4#6#5\\nthe open championship#1#2#2#2#3#3\\npga championship#0#0#1#2#5#4\\ntotals#1#5#8#12#18#16\\n',\n", + " 'label': 1,\n", + " 'statement': 'tournament that tony lema have participate in include the master tournament , the us open , the pga championship and the open championship',\n", + " 'table_caption': 'tony lema',\n", + " 'nlsep_query': 'tournament that tony lema have participate in include the master tournament , the us open , the pga championship and the open championship col : tournament | wins | top - 5 | top - 10 | top - 25 | events | cuts made row 1 : masters tournament | 0 | 1 | 2 | 4 | 4 | 4 row 2 : us open | 0 | 2 | 3 | 4 | 6 | 5 row 3 : the open championship | 1 | 2 | 2 | 2 | 3 | 3 row 4 : pga championship | 0 | 0 | 1 | 2 | 5 | 4 row 5 : totals | 1 | 5 | 8 | 12 | 18 | 16',\n", + " 'semtab_query': 'tournament that tony lema have participate in include the master tournament , the us open , the pga championship and the open championship tony lema
          tournamentcategory - 1.0\"str\"0[\"pga championship\", \"masters tournament\", \"us open\"]
          winsrank - 1.0\"int\"0[0, 0, 0]
          top - 5rank - 1.0\"int\"0[2, 5, 2]
          top - 10rank - 1.0\"int\"0[8, 1, 3]
          top - 25rank - 0.99\"int\"0[12, 2, 4]
          eventsduration - 0.73\"int\"0[18, 5, 6]
          cuts maderank - 0.99\"int\"0[5, 3, 16]
          ',\n", + " 'nlsep_answ': 'Here is the single-line pandas expression that translates the given natural language statement:\\n\\n```json\\n\"PANDA\": \"df[(df[\\'tournament\\'] == \\'tony lema\\') & (df[\\'tournament\\'].isin([\\'the master tournament\\', \\'the us open\\', \\'the pga championship\\', \\'the open championship\\']))].sum().eq(df.loc[4]).all()\"\\n```\\n\\nThis expression checks if the sum of the specified columns for the rows where \\'tournament\\' is \\'tony lema\\' and where \\'tournament\\' is in the given list of tournaments equals the sum of the specified columns for the total row.\\n',\n", + " 'nlsep_label': 'False',\n", + " 'nlsep_answ_correct': 'None'}" + ] + }, + "execution_count": 217, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dd[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 216, + "id": "4ff35c94-cb7a-49af-9273-35cd90b9f96a", + "metadata": {}, + "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1111/4257 [05:07<11:20, 4.62 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 26475.69 examples/s]\n" ] }, { - "name": "stdout", + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", + " num_rows: 479\n", + "})" + ] + }, + "execution_count": 216, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "process_data.filter(lambda x: True if x['nlsep_answ_correct']!='None' else False,num_proc=17)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 220, + "id": "0ceafa48-cfaa-45c3-93eb-659900912679", + "metadata": {}, + "outputs": [ + { + "name": "stderr", "output_type": "stream", "text": [ - "EEEERRRRRRR 490\n", - "'rank'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 26537.53 examples/s]\n" ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 26%|██▌ | 1112/4257 [05:07<11:41, 4.49 examples/s]" - ] - }, + "data": { + "text/plain": [ + "{'id': 905,\n", + " 'table_csv': '2-17231125-6.html.csv',\n", + " 'table_text': \"place#player#country#score#to par\\n1#curtis strange#united states#70 + 67 + 69 = 206#- 7\\nt2#nick faldo#england#72 + 67 + 68 = 207#- 6\\nt2#bob gilder#united states#68 + 69 + 70 = 207#- 6\\nt2#scott simpson#united states#69 + 66 + 72 = 207#- 6\\nt5#larry mize#united states#69 + 67 + 72 = 208#- 5\\nt5#d a weibring#united states#71 + 69 + 68 = 208#- 5\\n7#mark o'meara#united states#71 + 72 + 66 = 209#- 4\\n8#fred couples#united states#72 + 67 + 71 = 210#- 3\\n9#lanny wadkins#united states#70 + 71 + 70 = 211#- 2\\n10#ken green#united states#72 + 70 + 70 = 212#- 1\\n\",\n", + " 'label': 1,\n", + " 'statement': 'player larry mize and d a be tie for 5th place',\n", + " 'table_caption': '1988 u.s. open (golf)',\n", + " 'nlsep_query': \"player larry mize and d a be tie for 5th place col : place | player | country | score | to par row 1 : 1 | curtis strange | united states | 70 + 67 + 69 = 206 | - 7 row 2 : t2 | nick faldo | england | 72 + 67 + 68 = 207 | - 6 row 3 : t2 | bob gilder | united states | 68 + 69 + 70 = 207 | - 6 row 4 : t2 | scott simpson | united states | 69 + 66 + 72 = 207 | - 6 row 5 : t5 | larry mize | united states | 69 + 67 + 72 = 208 | - 5 row 6 : t5 | d a weibring | united states | 71 + 69 + 68 = 208 | - 5 row 7 : 7 | mark o'meara | united states | 71 + 72 + 66 = 209 | - 4 row 8 : 8 | fred couples | united states | 72 + 67 + 71 = 210 | - 3 row 9 : 9 | lanny wadkins | united states | 70 + 71 + 70 = 211 | - 2 row 10 : 10 | ken green | united states | 72 + 70 + 70 = 212 | - 1\",\n", + " 'semtab_query': 'player larry mize and d a be tie for 5th place 1988 u.s. open (golf)
          placerank - 1.0\"int\"0[\"t2\", \"t5\", \"7\"]
          playername - 1.0\"str\"0[\"scott simpson\", \"lanny wadkins\", \"bob gilder\"]
          countrynationality - 1.0\"str\"0[\"united states\", \"united states\", \"united states\"]
          scoreweight - 1.0\"str\"0[\"72 + 70 + 70 = 212\", \"71 + 69 + 68 = 208\", \"70 + 67 + 69 = 206\"]
          to parweight - 0.71\"str\"0[\"- 6\", \"- 5\", \"- 6\"]
          ',\n", + " 'nlsep_answ': 'Here\\'s the single-line pandas expression:\\n\\n```json\\n\"PANDA\": \"df.loc[df[\\'score\\'].isin(df.loc[df[\\'place\\']==5, \\'score\\']), \\'player\\'].str.contains(\\'larry mize|d a weibring\\').all()\"\\n```\\n\\nThis expression checks if all the players in the 5th place score are present in the score of \\'larry mize\\' and \\'d a weibring\\'.\\n',\n", + " 'nlsep_label': 'True',\n", + " 'nlsep_answ_correct': 'None'}" + ] + }, + "execution_count": 220, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "process_data.filter(lambda x: True if x['id']==905 else False,num_proc=17)[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 221, + "id": "dde01baa-1f1f-495e-84c6-1d091b8e8ca6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"df.loc[df['score'].isin(df.loc[df['place']==5, 'score']), 'player'].str.contains('larry mize|d a weibring').all()\"" + ] + }, + "execution_count": 221, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "parse_panda_code('Here\\'s the single-line pandas expression:\\n\\n```json\\n\"PANDA\": \"df.loc[df[\\'score\\'].isin(df.loc[df[\\'place\\']==5, \\'score\\']), \\'player\\'].str.contains(\\'larry mize|d a weibring\\').all()\"\\n```\\n\\nThis expression checks if all the players in the 5th place score are present in the score of \\'larry mize\\' and \\'d a weibring\\'.\\n')" + ] + }, + { + "cell_type": "code", + "execution_count": 237, + "id": "395f05b4-f2f4-4ac5-a7d8-ddaf87cfed20", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(StringIO(\"place#player#country#score#to par\\n1#curtis strange#united states#70 + 67 + 69 = 206#- 7\\nt2#nick faldo#england#72 + 67 + 68 = 207#- 6\\nt2#bob gilder#united states#68 + 69 + 70 = 207#- 6\\nt2#scott simpson#united states#69 + 66 + 72 = 207#- 6\\nt5#larry mize#united states#69 + 67 + 72 = 208#- 5\\nt5#d a weibring#united states#71 + 69 + 68 = 208#- 5\\n7#mark o'meara#united states#71 + 72 + 66 = 209#- 4\\n8#fred couples#united states#72 + 67 + 71 = 210#- 3\\n9#lanny wadkins#united states#70 + 71 + 70 = 211#- 2\\n10#ken green#united states#72 + 70 + 70 = 212#- 1\\n\"), delimiter='#')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 238, + "id": "1505bb2a-7799-4042-9053-df547617aa69", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          placeplayercountryscoreto par
          01curtis strangeunited states70 + 67 + 69 = 206- 7
          1t2nick faldoengland72 + 67 + 68 = 207- 6
          2t2bob gilderunited states68 + 69 + 70 = 207- 6
          3t2scott simpsonunited states69 + 66 + 72 = 207- 6
          4t5larry mizeunited states69 + 67 + 72 = 208- 5
          5t5d a weibringunited states71 + 69 + 68 = 208- 5
          67mark o'mearaunited states71 + 72 + 66 = 209- 4
          78fred couplesunited states72 + 67 + 71 = 210- 3
          89lanny wadkinsunited states70 + 71 + 70 = 211- 2
          910ken greenunited states72 + 70 + 70 = 212- 1
          \n", + "
          " + ], + "text/plain": [ + " place player country score to par\n", + "0 1 curtis strange united states 70 + 67 + 69 = 206 - 7\n", + "1 t2 nick faldo england 72 + 67 + 68 = 207 - 6\n", + "2 t2 bob gilder united states 68 + 69 + 70 = 207 - 6\n", + "3 t2 scott simpson united states 69 + 66 + 72 = 207 - 6\n", + "4 t5 larry mize united states 69 + 67 + 72 = 208 - 5\n", + "5 t5 d a weibring united states 71 + 69 + 68 = 208 - 5\n", + "6 7 mark o'meara united states 71 + 72 + 66 = 209 - 4\n", + "7 8 fred couples united states 72 + 67 + 71 = 210 - 3\n", + "8 9 lanny wadkins united states 70 + 71 + 70 = 211 - 2\n", + "9 10 ken green united states 72 + 70 + 70 = 212 - 1" + ] + }, + "execution_count": 238, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 239, + "id": "f1e3a44a-3a2b-48f0-a61a-228bae4e8f9f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "place object\n", + "player object\n", + "country object\n", + "score object\n", + "to par object\n", + "dtype: object" + ] + }, + "execution_count": 239, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 230, + "id": "9ec1801f-ad92-4b72-8267-9df578e1185b", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 727\n", - "'>=' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 561\n", - "Can only use .dt accessor with datetimelike values\n", - "EEEERRRRRRR 1425\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 175\n", - "unsupported operand type(s) for -: 'str' and 'str'\n", - "EEEERRRRRRR " - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 26%|██▌ | 1113/4257 [05:08<18:18, 2.86 examples/s]" + "place Unable to parse string \"t2\" at position 1\n", + "player Unable to parse string \"curtis strange\" at position 0\n", + "country Unable to parse string \"united states\" at position 0\n", + "score Unable to parse string \"70 + 67 + 69 = 206\" at position 0\n", + "to par Unable to parse string \"- 7\" at position 0\n" ] - }, + } + ], + "source": [ + "for col in df.columns:\n", + " try:\n", + " df[col] = pd.to_numeric(df[col])\n", + " except ValueError as e:\n", + " print(col,e)\n", + " # Если возникает ошибка, оставляем столбец как есть\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 235, + "id": "deb87756-4766-4caa-bc96-8fd5fa41e23f", + "metadata": {}, + "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "412\n", - "'>' not supported between instances of 'str' and 'int'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1596\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 930\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" - ] - }, + "data": { + "text/plain": [ + "-7" + ] + }, + "execution_count": 235, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "int('-7')" + ] + }, + { + "cell_type": "code", + "execution_count": 236, + "id": "9e818218-300a-4a29-85ea-1c5f16f5da92", + "metadata": {}, + "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "Map (num_proc=16): 26%|██▌ | 1115/4257 [05:09<19:14, 2.72 examples/s]" - ] - }, + "data": { + "text/plain": [ + "np.True_" + ] + }, + "execution_count": 236, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "eval(\"df.loc[df['score'].isin(df.loc[df['place']==5, 'score']), 'player'].str.contains('larry mize|d a weibring').all()\")" + ] + }, + { + "cell_type": "code", + "execution_count": 334, + "id": "5ad79a70-8a2f-4423-96e8-f6373ae279de", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 651\n", - "'school'\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", + " num_rows: 12779\n", + "})\n", + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", + " num_rows: 2798\n", + "})\n", + "21.89529697159402\n", + "100.0\n", + "57.255182273052185\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▌ | 1117/4257 [05:09<15:23, 3.40 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 27316.22 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "EEEERRRRRRR 25\n", - "Can only use .dt accessor with datetimelike values\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "55.450348227560845\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▋ | 1118/4257 [05:09<15:11, 3.44 examples/s]" + "\n" ] - }, + } + ], + "source": [ + "data = load_from_disk('tab_fact_test_xml_nlsep_new_correct_modify/')\n", + "print(data)\n", + "process_data = data.filter(lambda x : x['nlsep_answ_correct'] != 'None',num_proc=17)\n", + "print(process_data)\n", + "dd = process_data.filter(lambda x: True if x['nlsep_label']!='None' else False,num_proc=17)\n", + "print(dd.shape[0]/data.shape[0]*100)\n", + "print(dd.shape[0]/process_data.shape[0]*100)\n", + "true = dd.filter(lambda x : True if x['nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print(true.shape[0]/process_data.shape[0]*100)\n", + "full = data.filter(lambda x : True if x['nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print(full.shape[0]/data.shape[0]*100)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 329, + "id": "ecf76bba-e2ea-4c7a-be4e-946cda61935c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", + " num_rows: 2798\n", + "})" + ] + }, + "execution_count": 329, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "true = dd.filter(lambda x : True if x['nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 335, + "id": "d8c9edfc-6842-413b-9a5d-7f755f7f990a", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'semtab_answ', 'semtab_label', 'semtab_answ_correct'],\n", + " num_rows: 12779\n", + "})\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▋ | 1119/4257 [05:10<13:54, 3.76 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25449.74 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 728\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'semtab_answ', 'semtab_label', 'semtab_answ_correct'],\n", + " num_rows: 2727\n", + "})\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▋ | 1120/4257 [05:11<22:48, 2.29 examples/s]" + "Filter (num_proc=17): 100%|██████████| 2727/2727 [00:00<00:00, 5528.78 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 1276\n", - "'goals_conceded'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "21.339697941935988\n", + "100.0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▋ | 1121/4257 [05:11<21:03, 2.48 examples/s]" + "Filter (num_proc=17): 100%|██████████| 2727/2727 [00:00<00:00, 5716.06 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 1134\n", - "'no'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 806\n", - "'time'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "54.49211587825449\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▋ | 1122/4257 [05:11<23:27, 2.23 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25739.32 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "51.85069254245246\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▋ | 1123/4257 [05:12<18:38, 2.80 examples/s]" + "\n" ] - }, + } + ], + "source": [ + "data = load_from_disk('tab_fact_test_xml_semtab_new_correct_modify/')\n", + "print(data)\n", + "process_data = data.filter(lambda x : x['semtab_answ_correct'] != 'None',num_proc=17)\n", + "print(process_data)\n", + "dd = process_data.filter(lambda x: True if x['semtab_label']!='None' else False,num_proc=17)\n", + "print(dd.shape[0]/data.shape[0]*100)\n", + "print(dd.shape[0]/process_data.shape[0]*100)\n", + "true = dd.filter(lambda x : True if x['semtab_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print(true.shape[0]/process_data.shape[0]*100)\n", + "full = data.filter(lambda x : True if x['semtab_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print(full.shape[0]/data.shape[0]*100)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 327, + "id": "56fb6f59-7181-4b18-b423-6a9fbc2db338", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'tournament object\\nwins int64\\ntop - 5 int64\\ntop - 10 int64\\ntop - 25 int64\\nevents int64\\ncuts made int64'" + ] + }, + "execution_count": 327, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_info" + ] + }, + { + "cell_type": "code", + "execution_count": 336, + "id": "ad7ab9cb-d6ee-4d00-8598-faee3c5b46f6", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'semtab_answ', 'semtab_label', 'semtab_answ_correct'],\n", + " num_rows: 12779\n", + "})\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▋ | 1124/4257 [05:12<17:03, 3.06 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25729.94 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "EEEERRRRRRR 90\n", - "could not convert string to float: ' degree20′53″'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'semtab_answ', 'semtab_label', 'semtab_answ_correct'],\n", + " num_rows: 2876\n", + "})\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▋ | 1126/4257 [05:12<14:50, 3.52 examples/s]" + "Filter (num_proc=17): 100%|██████████| 2876/2876 [00:00<00:00, 5600.28 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "22.50567337037327\n", + "100.0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 26%|██▋ | 1128/4257 [05:13<13:05, 3.98 examples/s]" + "Filter (num_proc=17): 100%|██████████| 2876/2876 [00:00<00:00, 5845.32 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 331\n", - "'>' not supported between instances of 'str' and 'Timestamp'\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 412\n", - "'nominations'\n" + "54.24200278164116\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 27%|██▋ | 1131/4257 [05:13<13:24, 3.89 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 26336.59 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 490\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 651\n", - "single positional indexer is out-of-bounds\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "EEEERRRRRRR 561\n", - "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "52.81320917129666\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 27%|██▋ | 1132/4257 [05:14<17:32, 2.97 examples/s]" + "\n" ] - }, + } + ], + "source": [ + "data = load_from_disk('tab_fact_test_xml_semtab_new_correct_modify_add_info/')\n", + "print(data)\n", + "process_data = data.filter(lambda x : x['semtab_answ_correct'] != 'None',num_proc=17)\n", + "print(process_data)\n", + "dd = process_data.filter(lambda x: True if x['semtab_label']!='None' else False,num_proc=17)\n", + "print(dd.shape[0]/data.shape[0]*100)\n", + "print(dd.shape[0]/process_data.shape[0]*100)\n", + "true = dd.filter(lambda x : True if x['semtab_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print(true.shape[0]/process_data.shape[0]*100)\n", + "full = data.filter(lambda x : True if x['semtab_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print(full.shape[0]/data.shape[0]*100)" + ] + }, + { + "cell_type": "code", + "execution_count": 335, + "id": "1ead2964-6306-458c-adcf-ccf9016f58a9", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "'brazil scorers'\n", - "'str' object is not callable\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n", - "'brazil scorers'\n", - "'str' object is not callable\n" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", + " num_rows: 12779\n", + "})\n", + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", + " num_rows: 2747\n", + "})\n", + "Процент корректируемых ответов 21.496204710853746\n", + "успешно скорректированные отноосительно корректируемых 58.79140880961048\n", + "выполнимость 88.38719774630252\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Map (num_proc=16): 27%|██▋ | 1134/4257 [05:15<15:24, 3.38 examples/s]" + "Filter (num_proc=17): 100%|██████████| 11295/11295 [00:00<00:00, 14012.11 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Generating content with model: deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + "коректность вывыполняемых 61.354581673306775\n", + "Общая точность 54.229595430002355\n", + "точность без учета коррекции 41.59167383989358\n" ] }, { "name": "stderr", "output_type": "stream", - "text": [ - "Map (num_proc=16): 27%|██▋ | 1135/4257 [05:15<14:24, 3.61 examples/s]" - ] - } - ], - "source": [ - "from functools import partial\n", - "dont_run_correcting = dont_run.map(partial(dataset_processing,query_field='nlsep',system_correcting_prompt=system_correcting_prompt,\n", - " system_prompt=system_prompt),num_proc=16)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 208, - "id": "c68508a7-8abf-49a1-9e45-05dca33cde33", - "metadata": {}, - "outputs": [], + "text": [ + "\n" + ] + } + ], "source": [ - "data = load_from_disk('tab_fact_test_xml_nlsep_correct/')" + "data = load_from_disk('tab_fact_test_xml_nlsep_new_correct_modify_noadd_info/')\n", + "\n", + "print(data)\n", + "process_data = data.filter(lambda x : x['nlsep_answ_correct'] != 'None',num_proc=17)\n", + "print(process_data)\n", + "dd = data.filter(lambda x: True if x['nlsep_label']!='None' else False,num_proc=17)\n", + "print('Процент корректируемых ответов',process_data.shape[0]/data.shape[0]*100)\n", + "cor = process_data.filter(lambda x : True if x[f'nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print('успешно скорректированные отноосительно корректируемых ',cor.shape[0]/process_data.shape[0]*100)\n", + "print('выполнимость',dd.shape[0]/data.shape[0]*100)\n", + "#print(dd.shape[0]/data.shape[0]*100)\n", + "\n", + "true = dd.filter(lambda x : True if x['nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print('коректность вывыполняемых ',true.shape[0]/dd.shape[0]*100)\n", + "full = data.filter(lambda x : True if x[f'nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "acc = full.shape[0]/data.shape[0]*100\n", + "without_corr = data.filter(lambda x : x[f'nlsep_answ_correct'] == 'None',num_proc=17)\n", + "full_wo_corr = without_corr.filter(lambda x : True if x[f'nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print('Общая точность',acc)\n", + "print('точность без учета коррекции',full_wo_corr.shape[0]/data.shape[0]*100)" ] }, { "cell_type": "code", - "execution_count": 209, - "id": "86f67bc6-2b23-4712-9618-0404a2e55c96", + "execution_count": 340, + "id": "e59bc21d-56ae-4a93-b8e4-9da74c2ed256", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " tournament wins top - 5 top - 10 top - 25 events cuts made\n", + "0 masters tournament 0 1 2 4 4 4\n", + "1 us open 0 2 3 4 6 5\n", + "2 the open championship 1 2 2 2 3 3\n", + "3 pga championship 0 0 1 2 5 4\n", + "4 totals 1 5 8 12 18 16\n" + ] + } + ], "source": [ - "d2 = data.filter(lambda x : x['nlsep_answ_correct'] != 'None',num_proc=17)" + "print(df.to_string())" ] }, { "cell_type": "code", - "execution_count": 210, - "id": "5375d880-9ba5-4d3b-89c3-78a3368e333e", + "execution_count": 341, + "id": "67859f43-22fb-45d9-a140-ac54376e47d5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct', 'nlsep_label_correct'],\n", - " num_rows: 471\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", + " num_rows: 12779\n", "})" ] }, - "execution_count": 210, + "execution_count": 341, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "d2" + "data" ] }, { "cell_type": "code", - "execution_count": 179, - "id": "0aa1d3c0-6a98-4c39-848d-bcfae4db4cff", + "execution_count": 342, + "id": "753d3b4d-cf73-4188-be81-a2776e0f42b9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'id': 0,\n", - " 'table_csv': '2-1570274-4.html.csv',\n", - " 'table_text': 'tournament#wins#top - 5#top - 10#top - 25#events#cuts made\\nmasters tournament#0#1#2#4#4#4\\nus open#0#2#3#4#6#5\\nthe open championship#1#2#2#2#3#3\\npga championship#0#0#1#2#5#4\\ntotals#1#5#8#12#18#16\\n',\n", - " 'label': 1,\n", - " 'statement': 'tony lema do not win in the us open',\n", - " 'table_caption': 'tony lema',\n", - " 'nlsep_query': 'tony lema do not win in the us open col : tournament | wins | top - 5 | top - 10 | top - 25 | events | cuts made row 1 : masters tournament | 0 | 1 | 2 | 4 | 4 | 4 row 2 : us open | 0 | 2 | 3 | 4 | 6 | 5 row 3 : the open championship | 1 | 2 | 2 | 2 | 3 | 3 row 4 : pga championship | 0 | 0 | 1 | 2 | 5 | 4 row 5 : totals | 1 | 5 | 8 | 12 | 18 | 16',\n", - " 'semtab_query': 'tony lema do not win in the us open tony lema
          tournamentcategory - 1.0\"str\"0[\"us open\", \"the open championship\", \"pga championship\"]
          winsrank - 1.0\"int\"0[0, 1, 0]
          top - 5rank - 1.0\"int\"0[5, 2, 1]
          top - 10rank - 1.0\"int\"0[8, 2, 1]
          top - 25rank - 0.99\"int\"0[4, 12, 4]
          eventsduration - 0.73\"int\"0[6, 4, 18]
          cuts maderank - 0.99\"int\"0[4, 3, 5]
          ',\n", - " 'nlsep_answ': 'Here is the Python code that translates the given natural language statement into a single-line pandas expression. This expression checks if Tony Lema did not win in the US Open.\\n\\n```json\\n\"PANDA\": \"df.loc[df[\\'tournament\\'] == \\'us open\\', \\'wins\\'].any().tolist() == 0\"\\n```\\n\\nThis code first locates the row where the \\'tournament\\' column is \\'us open\\', and then checks if the \\'wins\\' column in that row is 0. If it is, the expression returns True, otherwise it returns False.\\n',\n", - " 'nlsep_label': 'True',\n", - " 'nlsep_answ_correct': 'None'}" + "'tony lema be in the top 5 for the master tournament , the us open , and the open championship'" ] }, - "execution_count": 179, + "execution_count": 342, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "\n", - "data[0]" + "data[0]['statement']" ] }, { "cell_type": "code", - "execution_count": 240, - "id": "443a0c2b-4da1-4ea6-aae5-9ca04bfbc072", - "metadata": {}, - "outputs": [ - { - "ename": "KeyError", - "evalue": "'tournament'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/indexes/base.py:3812\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3811\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3812\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3813\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", - "File \u001b[0;32mpandas/_libs/index.pyx:167\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32mpandas/_libs/index.pyx:196\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7088\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7096\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: 'tournament'", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[240], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;43meval\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mparse_panda_code\u001b[49m\u001b[43m(\u001b[49m\u001b[43md2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mnlsep_answ\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m:1\u001b[0m\n", - "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/frame.py:4113\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 4112\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_multilevel(key)\n\u001b[0;32m-> 4113\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4114\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[1;32m 4115\u001b[0m indexer \u001b[38;5;241m=\u001b[39m [indexer]\n", - "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/indexes/base.py:3819\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3814\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m 3815\u001b[0m \u001b[38;5;28misinstance\u001b[39m(casted_key, abc\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m 3816\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[1;32m 3817\u001b[0m ):\n\u001b[1;32m 3818\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3819\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 3820\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m 3821\u001b[0m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m 3822\u001b[0m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m 3823\u001b[0m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n\u001b[1;32m 3824\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n", - "\u001b[0;31mKeyError\u001b[0m: 'tournament'" - ] - } - ], - "source": [ - "eval(parse_panda_code(d2[0]['nlsep_answ']))" - ] - }, - { - "cell_type": "markdown", - "id": "6520fc31-941e-4a62-9bf2-063d4345ca03", + "execution_count": 343, + "id": "0aa35393-c5e8-4d63-bfbf-b047d7bb7b21", "metadata": {}, + "outputs": [], "source": [ - "# Traceback\n" + "import yaml\n", + "def load_config(config_file_path):\n", + " with open(config_file_path, 'r') as stream:\n", + " try:\n", + " # Use safe_load for security\n", + " config = yaml.safe_load(stream)\n", + " return config\n", + " except yaml.YAMLError as exc:\n", + " print(exc)\n", + " " ] }, { "cell_type": "code", - "execution_count": 243, - "id": "f0e1d0f9-f8e9-40a8-8cea-a5fa803e62d8", + "execution_count": 344, + "id": "e6eec661-04e8-4f84-a16a-a5cba91ccbea", "metadata": {}, "outputs": [], "source": [ - "import traceback" + " config_data = load_config('convert_config.yaml')" ] }, { "cell_type": "code", - "execution_count": 248, - "id": "a7fb770b-f072-48c0-b95d-23386da7eab1", + "execution_count": 347, + "id": "f46cb4df-5f27-4dd2-944d-6e12ac08f4ea", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'id': 0,\n", - " 'table_csv': '2-1570274-4.html.csv',\n", - " 'table_text': 'tournament#wins#top - 5#top - 10#top - 25#events#cuts made\\nmasters tournament#0#1#2#4#4#4\\nus open#0#2#3#4#6#5\\nthe open championship#1#2#2#2#3#3\\npga championship#0#0#1#2#5#4\\ntotals#1#5#8#12#18#16\\n',\n", - " 'label': 0,\n", - " 'statement': 'tournament that tony lema have not participate in include the master tournament , the us open , the pga championship and the open championship',\n", - " 'table_caption': 'tony lema',\n", - " 'nlsep_query': 'tournament that tony lema have not participate in include the master tournament , the us open , the pga championship and the open championship col : tournament | wins | top - 5 | top - 10 | top - 25 | events | cuts made row 1 : masters tournament | 0 | 1 | 2 | 4 | 4 | 4 row 2 : us open | 0 | 2 | 3 | 4 | 6 | 5 row 3 : the open championship | 1 | 2 | 2 | 2 | 3 | 3 row 4 : pga championship | 0 | 0 | 1 | 2 | 5 | 4 row 5 : totals | 1 | 5 | 8 | 12 | 18 | 16',\n", - " 'semtab_query': 'tournament that tony lema have not participate in include the master tournament , the us open , the pga championship and the open championship tony lema
          tournamentcategory - 1.0\"str\"0[\"us open\", \"totals\", \"masters tournament\"]
          winsrank - 1.0\"int\"0[0, 1, 0]
          top - 5rank - 1.0\"int\"0[2, 2, 1]
          top - 10rank - 1.0\"int\"0[3, 8, 1]
          top - 25rank - 0.99\"int\"0[4, 4, 12]
          eventsduration - 0.73\"int\"0[6, 5, 4]
          cuts maderank - 0.99\"int\"0[4, 16, 4]
          ',\n", - " 'nlsep_answ': 'Here is the Python code in pandas that verifies the statement:\\n\\n```json\\n\"PANDA\": \"df[df[\\'tournament\\'].isin([\\'the master tournament\\', \\'the us open\\', \\'the pga championship\\', \\'the open championship\\']) & (df[\\'participant\\'] != \\'tony lema\\')].empty\"\\n```\\n\\nThis code checks if there are any rows in the dataframe where the tournament is in the list of tournaments and the participant is not Tony LeMa. If there are no such rows, it returns True, otherwise it returns False.\\n',\n", - " 'nlsep_label': 'None',\n", - " 'nlsep_answ_correct': 'The error in the code is that the \\'participant\\' column does not exist in the dataframe. The correct column to check is \\'wins\\'. Here is the corrected code:\\n\\n```python\\ndf[df[\\'tournament\\'].isin([\\'the master tournament\\', \\'the us open\\', \\'the pga championship\\', \\'the open championship\\']) & (df[\\'wins\\'] == 0)].empty\\n```\\n\\nThis code checks if there are any rows in the dataframe where the \\'tournament\\' column is in the given list and the \\'wins\\' column is 0. If there are no such rows, it returns True, otherwise it returns False.\\n\\nHere is the Json Format:\\n\\n```json\\n{\\n \"CORRECT PANDA\": \"df[df[\\'tournament\\'].isin([\\'the master tournament\\', \\'the us open\\', \\'the pga championship\\', \\'the open championship\\']) & (df[\\'wins\\'] == 0)].empty\"\\n}\\n```\\n',\n", - " 'nlsep_label_correct': 'True'}" + "dict_keys(['semtab_xml_elements'])" ] }, - "execution_count": 248, + "execution_count": 347, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "d2[0]" + "\n", + "config_data.keys()\n" ] }, { "cell_type": "code", - "execution_count": 249, - "id": "25cf2de6-e9fe-4de0-9ac5-f804fa494cd7", + "execution_count": 349, + "id": "2a9239e1-4209-40cf-b793-c91cbdf52708", "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
          \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
          tournamentwinstop - 5top - 10top - 25eventscuts made
          0masters tournament012444
          1us open023465
          2the open championship122233
          3pga championship001254
          4totals158121816
          \n", - "
          " - ], "text/plain": [ - " tournament wins top - 5 top - 10 top - 25 events cuts made\n", - "0 masters tournament 0 1 2 4 4 4\n", - "1 us open 0 2 3 4 6 5\n", - "2 the open championship 1 2 2 2 3 3\n", - "3 pga championship 0 0 1 2 5 4\n", - "4 totals 1 5 8 12 18 16" + "bool" ] }, - "execution_count": 249, + "execution_count": 349, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df = pd.read_csv(StringIO(d2[0]['table_text']), delimiter='#')\n", - "df" + "type(config_data['semtab_xml_elements']['include_data_types'])" ] }, { "cell_type": "code", - "execution_count": 246, - "id": "081686fe-662a-47eb-8e53-c72863932eb3", + "execution_count": 249, + "id": "3784daff-54d5-4234-86b5-bdc4b1f4c943", + "metadata": {}, + "outputs": [], + "source": [ + "data = load_from_disk('tab_fact_test_universal2')" + ] + }, + { + "cell_type": "code", + "execution_count": 250, + "id": "7a01aea4-3e86-48df-ad02-bee45e73411a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "\"df[df['tournament'].isin(['the master tournament', 'the us open', 'the pga championship', 'the open championship']) & (df['participant'] != 'tony lema')].empty\"" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50'],\n", + " num_rows: 12779\n", + "})" ] }, - "execution_count": 246, + "execution_count": 250, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "parse_panda_code(d2[0]['nlsep_answ'])" + "data" ] }, { "cell_type": "code", - "execution_count": 292, - "id": "28b29da4-3ee3-42a5-b0df-39f05d4b134a", + "execution_count": 254, + "id": "60933c47-395d-46fd-bd51-ef8f589e71f4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "KeyError: 'participant'\n" + "
          \n" ] } ], "source": [ - "try:\n", - " p=parse_panda_code(d2[0]['nlsep_answ'])\n", - " eval(p)\n", - "except Exception as e:\n", - " print (f'{type(e).__name__}: {e}')\n", - " \n", - " #traceback.print_exc()\n", - " x = traceback.format_exc()\n", - " #print(x)" - ] - }, - { - "cell_type": "code", - "execution_count": 301, - "id": "1c19b750-8b68-466b-b5a0-20ce9ed485b6", - "metadata": {}, - "outputs": [], - "source": [ - "p = df.info" + "print(data[0]['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50'])" ] }, { "cell_type": "code", - "execution_count": 318, - "id": "aba0fd83-c333-4f11-8848-3b0935a87fd7", + "execution_count": 360, + "id": "ea879a46-97b4-4905-9c85-f90bf7fe89ad", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'space_answ', 'space_label', 'space_answ_correct'],\n", + " num_rows: 12779\n", + "})\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25156.65 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'space_answ', 'space_label', 'space_answ_correct'],\n", + " num_rows: 3026\n", + "})\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 3026/3026 [00:00<00:00, 5870.48 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "23.679474137256438\n", + "100.0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 3026/3026 [00:00<00:00, 5859.72 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "56.2128222075347\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 24946.84 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "53.28272947804993\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], "source": [ - "p = df.dtypes" + "data = load_from_disk('tab_fact_test_xml_space_new_correct_modify_noadd_info/')\n", + "print(data)\n", + "process_data = data.filter(lambda x : x['space_answ_correct'] != 'None',num_proc=17)\n", + "print(process_data)\n", + "dd = process_data.filter(lambda x: True if x['space_label']!='None' else False,num_proc=17)\n", + "print(dd.shape[0]/data.shape[0]*100)\n", + "print(dd.shape[0]/process_data.shape[0]*100)\n", + "true = dd.filter(lambda x : True if x['space_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print(true.shape[0]/process_data.shape[0]*100)\n", + "full = data.filter(lambda x : True if x['space_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print(full.shape[0]/data.shape[0]*100)" ] }, { "cell_type": "code", - "execution_count": 319, - "id": "c089588a-0bc7-42a5-b0da-c48eb3b0c39b", + "execution_count": 361, + "id": "425d327f-2b6b-4261-b86b-27f92f4ba9d3", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'tab_fact_test_semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_new_correct_modify_noadd_info' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[361], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mtab_fact_test_semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_new_correct_modify_noadd_info\u001b[49m\n", + "\u001b[0;31mNameError\u001b[0m: name 'tab_fact_test_semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_new_correct_modify_noadd_info' is not defined" + ] + } + ], "source": [ - "p = p.to_string()" + "tab_fact_test_semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_new_correct_modify_noadd_info\n" ] }, { "cell_type": "code", - "execution_count": 322, - "id": "2c5bcd86-f4ba-4b02-b588-dd6c3ea548a5", + "execution_count": 362, + "id": "d08dd679-0914-43b8-b7a0-b4bc84b53acb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tournament object\n", - "wins int64\n", - "top - 5 int64\n", - "top - 10 int64\n", - "top - 25 int64\n", - "events int64\n", - "cuts made int64\n" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct'],\n", + " num_rows: 12779\n", + "})\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25331.21 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct'],\n", + " num_rows: 2399\n", + "})\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 2399/2399 [00:00<00:00, 4543.86 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "18.772986931684795\n", + "100.0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 2399/2399 [00:00<00:00, 4636.70 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "54.18924551896623\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 24993.23 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "53.86180452304562\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" ] } ], "source": [ - "print(p)" + "data = load_from_disk('tab_fact_test_semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_new_correct_modify_noadd_info/')\n", + "print(data)\n", + "process_data = data.filter(lambda x : x['semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct'] != 'None',num_proc=17)\n", + "print(process_data)\n", + "dd = process_data.filter(lambda x: True if x['semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_label']!='None' else False,num_proc=17)\n", + "print(dd.shape[0]/data.shape[0]*100)\n", + "print(dd.shape[0]/process_data.shape[0]*100)\n", + "true = dd.filter(lambda x : True if x['semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print(true.shape[0]/process_data.shape[0]*100)\n", + "full = data.filter(lambda x : True if x['semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print(full.shape[0]/data.shape[0]*100)" ] }, + { + "cell_type": "markdown", + "id": "0c38f01c-bf07-4ed3-9ff7-b3e109a164b4", + "metadata": {}, + "source": [ + "| Method | Accuracy |\n", + "|---------------------|:--------:|\n", + "| semtab xml elements | 51.85 |\n", + "| semtab html | 53.86 |\n", + "| space | 53.28 |\n", + "| nlsep | 54.23 |" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c3717b76-9c07-422f-84e9-484ea55d1e08", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", - "execution_count": 194, - "id": "1f0a97ae-6100-4c18-b3d9-28f97aeab0c2", + "execution_count": 364, + "id": "2207705b-8237-4864-8e30-ba1f4b11b97a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "\"df['total'].isin([df.loc[df['player'] == 'matías suárez', 'total'].values[0] + 4]).any()\"" + "'| | tournament | wins | top - 5 | top - 10 | top - 25 | events | cuts made |\\n|---:|:----------------------|-------:|----------:|-----------:|-----------:|---------:|------------:|\\n| 0 | masters tournament | 0 | 1 | 2 | 4 | 4 | 4 |\\n| 1 | us open | 0 | 2 | 3 | 4 | 6 | 5 |\\n| 2 | the open championship | 1 | 2 | 2 | 2 | 3 | 3 |\\n| 3 | pga championship | 0 | 0 | 1 | 2 | 5 | 4 |\\n| 4 | totals | 1 | 5 | 8 | 12 | 18 | 16 |'" ] }, - "execution_count": 194, + "execution_count": 364, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "parse_panda_code(d2[2]['nlsep_answ_correct'])" + "df.to_markdown()" ] }, { "cell_type": "code", - "execution_count": 180, - "id": "89bb5654-775a-4075-bae6-76708c11a1b5", + "execution_count": null, + "id": "30941fab-ff71-43d4-885e-c2f481d3c5c7", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'id': 12,\n", - " 'table_csv': '2-13135264-6.html.csv',\n", - " 'table_text': 'date#visitor#score#home#decision#attendance#record\\njanuary 2#detroit#4 - 1#carolina#joseph#17053#24 - 12 - 4 - 1\\njanuary 3#anaheim#1 - 3#detroit#legace#20066#25 - 12 - 4 - 1\\njanuary 5#nashville#0 - 6#detroit#joseph#20066#26 - 12 - 4 - 1\\njanuary 7#boston#3 - 0#detroit#joseph#20066#26 - 13 - 4 - 1\\njanuary 10#detroit#1 - 2#boston#joseph#17565#26 - 13 - 4 - 2\\njanuary 14#chicago#2 - 4#detroit#legace#20066#27 - 13 - 4 - 2\\njanuary 16#phoenix#3 - 3#detroit#joseph#20066#27 - 13 - 5 - 2\\njanuary 19#detroit#1 - 2#san jose#joseph#17361#27 - 14 - 5 - 2\\njanuary 21#detroit#2 - 2#anaheim#legace#17174#27 - 14 - 6 - 2\\njanuary 22#detroit#5 - 4#los angeles#joseph#18118#28 - 14 - 6 - 2\\njanuary 24#detroit#2 - 5#phoenix#joseph#19019#28 - 15 - 6 - 2\\njanuary 26#detroit#2 - 2#dallas#legace#18532#28 - 15 - 7 - 2\\njanuary 29#new jersey#2 - 5#detroit#joseph#20066#29 - 15 - 7 - 2\\njanuary 31#carolina#4 - 4#detroit#legace#20066#30 - 15 - 8 - 2\\n',\n", - " 'label': 0,\n", - " 'statement': 'there be a tie for the largest point gap 2 time during the season',\n", - " 'table_caption': '2003 - 04 detroit red wings season',\n", - " 'nlsep_query': 'there be a tie for the largest point gap 2 time during the season col : date | visitor | score | home | decision | attendance | record row 1 : january 2 | detroit | 4 - 1 | carolina | joseph | 17053 | 24 - 12 - 4 - 1 row 2 : january 3 | anaheim | 1 - 3 | detroit | legace | 20066 | 25 - 12 - 4 - 1 row 3 : january 5 | nashville | 0 - 6 | detroit | joseph | 20066 | 26 - 12 - 4 - 1 row 4 : january 7 | boston | 3 - 0 | detroit | joseph | 20066 | 26 - 13 - 4 - 1 row 5 : january 10 | detroit | 1 - 2 | boston | joseph | 17565 | 26 - 13 - 4 - 2 row 6 : january 14 | chicago | 2 - 4 | detroit | legace | 20066 | 27 - 13 - 4 - 2 row 7 : january 16 | phoenix | 3 - 3 | detroit | joseph | 20066 | 27 - 13 - 5 - 2 row 8 : january 19 | detroit | 1 - 2 | san jose | joseph | 17361 | 27 - 14 - 5 - 2 row 9 : january 21 | detroit | 2 - 2 | anaheim | legace | 17174 | 27 - 14 - 6 - 2 row 10 : january 22 | detroit | 5 - 4 | los angeles | joseph | 18118 | 28 - 14 - 6 - 2 row 11 : january 24 | detroit | 2 - 5 | phoenix | joseph | 19019 | 28 - 15 - 6 - 2 row 12 : january 26 | detroit | 2 - 2 | dallas | legace | 18532 | 28 - 15 - 7 - 2 row 13 : january 29 | new jersey | 2 - 5 | detroit | joseph | 20066 | 29 - 15 - 7 - 2 row 14 : january 31 | carolina | 4 - 4 | detroit | legace | 20066 | 30 - 15 - 8 - 2',\n", - " 'semtab_query': 'there be a tie for the largest point gap 2 time during the season 2003 - 04 detroit red wings season
          dateday - 0.96\"str\"0[\"january 19\", \"january 3\", \"january 26\"]
          visitorcity - 0.96\"str\"0[\"boston\", \"detroit\", \"detroit\"]
          scoreweight - 0.59\"str\"0[\"3 - 0\", \"1 - 2\", \"2 - 5\"]
          hometeam - 1.0\"str\"0[\"detroit\", \"san jose\", \"detroit\"]
          decisionname - 1.0\"str\"0[\"joseph\", \"legace\", \"joseph\"]
          attendancedepth - 0.85\"int\"0[20066, 17174, 17361]
          recordage - 0.88\"str\"0[\"28 - 15 - 7 - 2\", \"26 - 13 - 4 - 2\", \"25 - 12 - 4 - 1\"]
          ',\n", - " 'nlsep_answ': '```json\\n\"PANDA\": \"df.groupby([\\'home\\', \\'visitor\\'])[\\'score\\'].apply(lambda x: x.str.split(\\'-\\', expand=True).apply(lambda y: abs(int(y[0]) - int(y[1])), axis=1).max().nlargest(2).index.duplicated().any()\"\\n```\\nThis code groups the DataFrame by \\'home\\' and \\'visitor\\' columns, then for each group it calculates the maximum point gap between the scores. It then checks if there are any duplicated values in the top 2 maximum point gaps, indicating a tie.\\n',\n", - " 'nlsep_label': 'False',\n", - " 'nlsep_answ_correct': 'The error in the code is due to an unbalanced parentheses. Here is the corrected code:\\n\\n```python\\npandas_code = \"(df[\\'score\\'].str.split(\\'-\\', expand=True)[0].astype(int) - df[\\'score\\'].str.split(\\'-\\', expand=True)[1].astype(int)).nunique() == 2\"\\n```\\n\\nThis code calculates the point gap between the home and visitor scores and checks if there are two unique values, which would indicate a tie for the largest point gap twice during the season.\\n\\nPlease note that the pandas_code must be a boolean. To ensure this, you can wrap the expression in a bool() function:\\n\\n```python\\npandas_code = \"bool((df[\\'score\\'].str.split(\\'-\\', expand=True)[0].astype(int) - df[\\'score\\'].str.split(\\'-\\', expand=True)[1].astype(int)).nunique() == 2)\"\\n```\\n\\nNow, when you run `str(bool(eval(pandas_code)))`, it should return `True` if there are two unique largest point gap values and `False` otherwise.\\n\\nPlease note that using `eval` can be dangerous if the input is not trusted, as it can execute any Python code. In this case, it is safe to use because the pandas_code is being constructed manually and not derived from user input.\\n\\nThe output in the Json format will be:\\n\\n```json\\n{\\n \"CORRECT PANDA\": \"bool((df[\\'score\\'].str.split(\\'-\\', expand=True)[0].astype(int) - df[\\'score\\'].str.split(\\'-\\', expand=True)[1].astype(int)).nunique() == 2)\"\\n}\\n```\\n'}" - ] - }, - "execution_count": 180, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "d2[0]" + "python abation_experiments.py --inputdata tab_fact_test_semtab_html_ablation_correcring --outputdata tab_fact_test_semtab_html_ablation_correcring --conf-file semtab_html_config_answer2.yaml --num_proc 16 > correct_tabfact_semtab_html_log2.txt" ] }, { "cell_type": "code", - "execution_count": 196, - "id": "7ea78d2c-682c-401e-9721-dca71de9ab0e", + "execution_count": 365, + "id": "4ecbd443-738c-43d9-ac41-43294253f388", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 471/471 [00:00<00:00, 974.02 examples/s]\n" - ] - } - ], + "outputs": [], "source": [ - "d3 = d2.filter(lambda x : x['nlsep_label'] != 'None',num_proc=17)" + "import torch\n" ] }, { "cell_type": "code", - "execution_count": 197, - "id": "897be776-d045-4073-9d12-b5329a5d5889", + "execution_count": 367, + "id": "af179919-9224-4bf0-9a1d-7a48da554253", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct', 'nlsep_label_correct'],\n", - " num_rows: 0\n", - "})" + "'cuda'" ] }, - "execution_count": 197, + "execution_count": 367, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "d3" + "str(torch.device('cuda'))\n" ] }, { "cell_type": "code", - "execution_count": 200, - "id": "39c4d23e-4976-45b1-9e3e-1469c0f35e88", + "execution_count": 371, + "id": "d5614fd2-2a41-4317-9e2f-1a115a196648", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 471/471 [00:00<00:00, 918.59 examples/s]\n" - ] - } - ], + "outputs": [], "source": [ - "d3 = d2.filter(lambda x : x['nlsep_label_correct']==str(bool(x['label'])),num_proc=17)" + "data = load_from_disk('tab_fact_test_semtab_html_ablation/')" ] }, { "cell_type": "code", - "execution_count": 201, - "id": "238af416-0f43-4c15-8d20-021d53adfc9c", + "execution_count": 372, + "id": "f5cc8e1c-efed-4fb6-9e11-a4a0297771fa", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct', 'nlsep_label_correct'],\n", - " num_rows: 296\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50', 'semtab_html_datatype_exampples3_description_top1_tresh50', 'semtab_html_exampples3_description_top1_tresh50', 'semtab_html_description_top1_tresh50', 'semtab_html_top1_tresh50'],\n", + " num_rows: 12779\n", "})" ] }, - "execution_count": 201, + "execution_count": 372, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "d3" + "data\n" ] }, { "cell_type": "code", - "execution_count": 205, - "id": "0cc4f74e-81ad-4afe-b920-20e40da86a7c", + "execution_count": 374, + "id": "f968be8c-fd4a-4fab-90ae-9c3ed7b98324", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "date object\n", - "result object\n", - "score object\n", - "brazil scorers object\n", - "competition object\n", - "dtype: object" + "'
          tournamentwinstop - 5top - 10top - 25eventscuts made
          '" ] }, - "execution_count": 205, + "execution_count": 374, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.dtypes" + "data[0]['semtab_html_top1_tresh50']\n" + ] + }, + { + "cell_type": "markdown", + "id": "ace5820b-6963-4dc1-8178-e9eb8e0d6945", + "metadata": {}, + "source": [ + "# Ablation study" ] }, { "cell_type": "code", - "execution_count": 204, - "id": "97cd2a90-0b17-499a-8620-eed8408962c4", + "execution_count": 50, + "id": "20107cab-8b91-45db-a3af-f30dd0580d41", "metadata": {}, "outputs": [], "source": [ - "for col in df.columns:\n", - " try:\n", - " df[col] = pd.to_numeric(df[col])\n", - " except ValueError:\n", - " # Если возникает ошибка, оставляем столбец как есть\n", - " pass" + "from datasets import load_from_disk\n", + "import sys\n", + "import os\n", + "\n", + "# Добавляем корневую директорию проекта в sys.path\n", + "sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests')))" ] }, { "cell_type": "code", - "execution_count": 206, - "id": "c9d84ec7-3f0a-4052-8c9f-7fd4bfaa4928", + "execution_count": 245, + "id": "9f519f31-280d-4e58-8820-03c4ef9f312e", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
          \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
          dateresultscorebrazil scorerscompetition
          0may 11 , 1919w6 - 0friedenreich (3) , neco (2) , haroldosouth american championship
          1may 18 , 1919w3 - 1heitor , amílcar , millonsouth american championship
          2may 26 , 1919d2 - 2neco (2)south american championship
          3may 29 , 1919w1 - 0friedenreichsouth american championship
          4june 1 , 1919d3 - 3haroldo , arlindo (2)taça roberto cherry
          \n", - "
          " - ], - "text/plain": [ - " date result score brazil scorers \\\n", - "0 may 11 , 1919 w 6 - 0 friedenreich (3) , neco (2) , haroldo \n", - "1 may 18 , 1919 w 3 - 1 heitor , amílcar , millon \n", - "2 may 26 , 1919 d 2 - 2 neco (2) \n", - "3 may 29 , 1919 w 1 - 0 friedenreich \n", - "4 june 1 , 1919 d 3 - 3 haroldo , arlindo (2) \n", - "\n", - " competition \n", - "0 south american championship \n", - "1 south american championship \n", - "2 south american championship \n", - "3 south american championship \n", - "4 taça roberto cherry " - ] - }, - "execution_count": 206, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "df" + "data = load_from_disk(\"tab_fact_test_semtab_html_ablation_correcring_first_new\")" ] }, { "cell_type": "code", - "execution_count": 212, - "id": "62e0832f-ebf6-42a9-9f44-01540151b6e1", + "execution_count": 247, + "id": "fab797cc-1e10-445e-ab4c-26e9148b3317", "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 4257/4257 [00:00<00:00, 8874.34 examples/s]\n" - ] + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50', 'semtab_html_datatype_exampples3_description_top1_tresh50', 'semtab_html_exampples3_description_top1_tresh50', 'semtab_html_description_top1_tresh50', 'semtab_html_top1_tresh50', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_exampples3_description_top1_tresh50_answ', 'semtab_html_exampples3_description_top1_tresh50_label', 'semtab_html_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_description_top1_tresh50_answ', 'semtab_html_description_top1_tresh50_label', 'semtab_html_description_top1_tresh50_answ_correct', 'semtab_html_top1_tresh50_answ', 'semtab_html_top1_tresh50_label', 'semtab_html_top1_tresh50_answ_correct'],\n", + " num_rows: 12779\n", + "})" + ] + }, + "execution_count": 247, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "data = load_from_disk('tab_fact_test_xml_nlsep_correct_dtype/')\n", - "d2 = data.filter(lambda x : x['nlsep_answ_correct'] != 'None',num_proc=17)\n" + "data" ] }, { "cell_type": "code", - "execution_count": 213, - "id": "0c7637b6-856f-41be-be10-e23e7646d82e", + "execution_count": 248, + "id": "847bfa1b-927b-41f6-ba2a-0373d544f653", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct', 'nlsep_label_correct'],\n", - " num_rows: 415\n", - "})" + "'
          tony lema
          tournamentwinstop - 5top - 10top - 25eventscuts made
          '" ] }, - "execution_count": 213, + "execution_count": 248, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "d2" + "data[0]['semtab_html_semantic_datatype_exampples3_description_top1_tresh50']" ] }, { "cell_type": "code", - "execution_count": 214, - "id": "454a3226-c3bd-4bd9-baab-ff2b92cf017d", + "execution_count": 51, + "id": "e52ae62c-5963-471f-9f91-5f5b2cdadb75", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", - " num_rows: 12779\n", - "})\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 27151.13 examples/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", - " num_rows: 12779\n", - "})\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25923.24 examples/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", - " num_rows: 8974\n", - "})\n", - "70.22458721339699\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 8974/8974 [00:00<00:00, 18914.21 examples/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "42.92980671414038\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], + "outputs": [], "source": [ - "process_data = load_from_disk('./tab_fact_test_xml_nlsep_new_correct//')\n", - "print(process_data)\n", - "dd = process_data.filter(lambda x: True if x['nlsep_answ']!='None' else False,num_proc=17)\n", - "print(dd)\n", - "dd = process_data.filter(lambda x: True if x['nlsep_label']!='None' else False,num_proc=17)\n", - "print(dd)\n", - "print(dd.shape[0]/process_data.shape[0]*100)\n", - "true = dd.filter(lambda x : True if x['nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(true.shape[0]/process_data.shape[0]*100)" + "from utils.utils import load_config\n" ] }, { "cell_type": "code", - "execution_count": 217, - "id": "2e895222-3547-4af0-b81a-7a317d9ad273", + "execution_count": 384, + "id": "a513ec25-9696-41be-b50e-59cb088c5022", + "metadata": {}, + "outputs": [], + "source": [ + "config = load_config('semtab_html_config_answer2.yaml')" + ] + }, + { + "cell_type": "code", + "execution_count": 386, + "id": "d6ba8380-4090-475e-80a7-76e212ad7f7c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'id': 0,\n", - " 'table_csv': '2-1570274-4.html.csv',\n", - " 'table_text': 'tournament#wins#top - 5#top - 10#top - 25#events#cuts made\\nmasters tournament#0#1#2#4#4#4\\nus open#0#2#3#4#6#5\\nthe open championship#1#2#2#2#3#3\\npga championship#0#0#1#2#5#4\\ntotals#1#5#8#12#18#16\\n',\n", - " 'label': 1,\n", - " 'statement': 'tournament that tony lema have participate in include the master tournament , the us open , the pga championship and the open championship',\n", - " 'table_caption': 'tony lema',\n", - " 'nlsep_query': 'tournament that tony lema have participate in include the master tournament , the us open , the pga championship and the open championship col : tournament | wins | top - 5 | top - 10 | top - 25 | events | cuts made row 1 : masters tournament | 0 | 1 | 2 | 4 | 4 | 4 row 2 : us open | 0 | 2 | 3 | 4 | 6 | 5 row 3 : the open championship | 1 | 2 | 2 | 2 | 3 | 3 row 4 : pga championship | 0 | 0 | 1 | 2 | 5 | 4 row 5 : totals | 1 | 5 | 8 | 12 | 18 | 16',\n", - " 'semtab_query': 'tournament that tony lema have participate in include the master tournament , the us open , the pga championship and the open championship tony lema
          tournamentcategory - 1.0\"str\"0[\"pga championship\", \"masters tournament\", \"us open\"]
          winsrank - 1.0\"int\"0[0, 0, 0]
          top - 5rank - 1.0\"int\"0[2, 5, 2]
          top - 10rank - 1.0\"int\"0[8, 1, 3]
          top - 25rank - 0.99\"int\"0[12, 2, 4]
          eventsduration - 0.73\"int\"0[18, 5, 6]
          cuts maderank - 0.99\"int\"0[5, 3, 16]
          ',\n", - " 'nlsep_answ': 'Here is the single-line pandas expression that translates the given natural language statement:\\n\\n```json\\n\"PANDA\": \"df[(df[\\'tournament\\'] == \\'tony lema\\') & (df[\\'tournament\\'].isin([\\'the master tournament\\', \\'the us open\\', \\'the pga championship\\', \\'the open championship\\']))].sum().eq(df.loc[4]).all()\"\\n```\\n\\nThis expression checks if the sum of the specified columns for the rows where \\'tournament\\' is \\'tony lema\\' and where \\'tournament\\' is in the given list of tournaments equals the sum of the specified columns for the total row.\\n',\n", - " 'nlsep_label': 'False',\n", - " 'nlsep_answ_correct': 'None'}" + "['semtab_html_semantic_datatype_exampples3_description_top1_tresh50',\n", + " 'semtab_html_datatype_exampples3_description_top1_tresh50',\n", + " 'semtab_html_exampples3_description_top1_tresh50',\n", + " 'semtab_html_description_top1_tresh50',\n", + " 'semtab_html_top1_tresh50']" ] }, - "execution_count": 217, + "execution_count": 386, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dd[0]" + "tests = list(config.keys())\n", + "tests" ] }, { "cell_type": "code", - "execution_count": 216, - "id": "4ff35c94-cb7a-49af-9273-35cd90b9f96a", + "execution_count": 391, + "id": "b39c63d6-5f2c-4992-bed5-8e84ff9f881d", "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 26475.69 examples/s]\n" + "semtab_html_semantic_datatype_exampples3_description_top1_tresh50\n", + "53.673996400344315\n", + "different 0.0\n", + "semtab_html_datatype_exampples3_description_top1_tresh50\n", + "54.816495813443936\n", + "different 1.142499413099621\n", + "semtab_html_exampples3_description_top1_tresh50\n", + "54.11221535331403\n", + "different -0.7042804601299082\n", + "semtab_html_description_top1_tresh50\n", + "46.545113076140545\n", + "different -7.567102277173483\n", + "semtab_html_top1_tresh50\n", + "46.490335707019334\n", + "different -0.05477736912121145\n" ] - }, - { - "data": { - "text/plain": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", - " num_rows: 479\n", - "})" - ] - }, - "execution_count": 216, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ - "process_data.filter(lambda x: True if x['nlsep_answ_correct']!='None' else False,num_proc=17)\n" + "acc_old = None\n", + "for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = process_data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " #print(dd.shape[0]/data.shape[0]*100)\n", + " #print(dd.shape[0]/process_data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " #print(true.shape[0]/process_data.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " print(acc)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" ] }, { "cell_type": "code", - "execution_count": 220, - "id": "0ceafa48-cfaa-45c3-93eb-659900912679", + "execution_count": 392, + "id": "7182ceea-4e3b-4aa4-ba30-9a1c6e7068e2", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 26537.53 examples/s]\n" - ] - }, { "data": { "text/plain": [ - "{'id': 905,\n", - " 'table_csv': '2-17231125-6.html.csv',\n", - " 'table_text': \"place#player#country#score#to par\\n1#curtis strange#united states#70 + 67 + 69 = 206#- 7\\nt2#nick faldo#england#72 + 67 + 68 = 207#- 6\\nt2#bob gilder#united states#68 + 69 + 70 = 207#- 6\\nt2#scott simpson#united states#69 + 66 + 72 = 207#- 6\\nt5#larry mize#united states#69 + 67 + 72 = 208#- 5\\nt5#d a weibring#united states#71 + 69 + 68 = 208#- 5\\n7#mark o'meara#united states#71 + 72 + 66 = 209#- 4\\n8#fred couples#united states#72 + 67 + 71 = 210#- 3\\n9#lanny wadkins#united states#70 + 71 + 70 = 211#- 2\\n10#ken green#united states#72 + 70 + 70 = 212#- 1\\n\",\n", - " 'label': 1,\n", - " 'statement': 'player larry mize and d a be tie for 5th place',\n", - " 'table_caption': '1988 u.s. open (golf)',\n", - " 'nlsep_query': \"player larry mize and d a be tie for 5th place col : place | player | country | score | to par row 1 : 1 | curtis strange | united states | 70 + 67 + 69 = 206 | - 7 row 2 : t2 | nick faldo | england | 72 + 67 + 68 = 207 | - 6 row 3 : t2 | bob gilder | united states | 68 + 69 + 70 = 207 | - 6 row 4 : t2 | scott simpson | united states | 69 + 66 + 72 = 207 | - 6 row 5 : t5 | larry mize | united states | 69 + 67 + 72 = 208 | - 5 row 6 : t5 | d a weibring | united states | 71 + 69 + 68 = 208 | - 5 row 7 : 7 | mark o'meara | united states | 71 + 72 + 66 = 209 | - 4 row 8 : 8 | fred couples | united states | 72 + 67 + 71 = 210 | - 3 row 9 : 9 | lanny wadkins | united states | 70 + 71 + 70 = 211 | - 2 row 10 : 10 | ken green | united states | 72 + 70 + 70 = 212 | - 1\",\n", - " 'semtab_query': 'player larry mize and d a be tie for 5th place 1988 u.s. open (golf)
          placerank - 1.0\"int\"0[\"t2\", \"t5\", \"7\"]
          playername - 1.0\"str\"0[\"scott simpson\", \"lanny wadkins\", \"bob gilder\"]
          countrynationality - 1.0\"str\"0[\"united states\", \"united states\", \"united states\"]
          scoreweight - 1.0\"str\"0[\"72 + 70 + 70 = 212\", \"71 + 69 + 68 = 208\", \"70 + 67 + 69 = 206\"]
          to parweight - 0.71\"str\"0[\"- 6\", \"- 5\", \"- 6\"]
          ',\n", - " 'nlsep_answ': 'Here\\'s the single-line pandas expression:\\n\\n```json\\n\"PANDA\": \"df.loc[df[\\'score\\'].isin(df.loc[df[\\'place\\']==5, \\'score\\']), \\'player\\'].str.contains(\\'larry mize|d a weibring\\').all()\"\\n```\\n\\nThis expression checks if all the players in the 5th place score are present in the score of \\'larry mize\\' and \\'d a weibring\\'.\\n',\n", - " 'nlsep_label': 'True',\n", - " 'nlsep_answ_correct': 'None'}" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50', 'semtab_html_datatype_exampples3_description_top1_tresh50', 'semtab_html_exampples3_description_top1_tresh50', 'semtab_html_description_top1_tresh50', 'semtab_html_top1_tresh50', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_exampples3_description_top1_tresh50_answ', 'semtab_html_exampples3_description_top1_tresh50_label', 'semtab_html_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_description_top1_tresh50_answ', 'semtab_html_description_top1_tresh50_label', 'semtab_html_description_top1_tresh50_answ_correct', 'semtab_html_top1_tresh50_answ', 'semtab_html_top1_tresh50_label', 'semtab_html_top1_tresh50_answ_correct'],\n", + " num_rows: 12779\n", + "})" ] }, - "execution_count": 220, + "execution_count": 392, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "process_data.filter(lambda x: True if x['id']==905 else False,num_proc=17)[0]" + "data" ] }, { "cell_type": "code", - "execution_count": 221, - "id": "dde01baa-1f1f-495e-84c6-1d091b8e8ca6", + "execution_count": 394, + "id": "4de2d1af-de13-45d4-ac5c-28bdedd47d95", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\"df.loc[df['score'].isin(df.loc[df['place']==5, 'score']), 'player'].str.contains('larry mize|d a weibring').all()\"" - ] - }, - "execution_count": 221, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "tournament#wins#top - 5#top - 10#top - 25#events#cuts made\n", + "masters tournament#0#1#2#4#4#4\n", + "us open#0#2#3#4#6#5\n", + "the open championship#1#2#2#2#3#3\n", + "pga championship#0#0#1#2#5#4\n", + "totals#1#5#8#12#18#16\n", + "\n" + ] } ], "source": [ - "parse_panda_code('Here\\'s the single-line pandas expression:\\n\\n```json\\n\"PANDA\": \"df.loc[df[\\'score\\'].isin(df.loc[df[\\'place\\']==5, \\'score\\']), \\'player\\'].str.contains(\\'larry mize|d a weibring\\').all()\"\\n```\\n\\nThis expression checks if all the players in the 5th place score are present in the score of \\'larry mize\\' and \\'d a weibring\\'.\\n')" + "print(data[0]['table_text'])" ] }, { "cell_type": "code", - "execution_count": 237, - "id": "395f05b4-f2f4-4ac5-a7d8-ddaf87cfed20", + "execution_count": 395, + "id": "62deb973-0d03-4d73-9eed-478317713a21", "metadata": {}, "outputs": [], "source": [ - "df = pd.read_csv(StringIO(\"place#player#country#score#to par\\n1#curtis strange#united states#70 + 67 + 69 = 206#- 7\\nt2#nick faldo#england#72 + 67 + 68 = 207#- 6\\nt2#bob gilder#united states#68 + 69 + 70 = 207#- 6\\nt2#scott simpson#united states#69 + 66 + 72 = 207#- 6\\nt5#larry mize#united states#69 + 67 + 72 = 208#- 5\\nt5#d a weibring#united states#71 + 69 + 68 = 208#- 5\\n7#mark o'meara#united states#71 + 72 + 66 = 209#- 4\\n8#fred couples#united states#72 + 67 + 71 = 210#- 3\\n9#lanny wadkins#united states#70 + 71 + 70 = 211#- 2\\n10#ken green#united states#72 + 70 + 70 = 212#- 1\\n\"), delimiter='#')\n" + "data2 = dataset.to_pandas()" ] }, { "cell_type": "code", - "execution_count": 238, - "id": "1505bb2a-7799-4042-9053-df547617aa69", + "execution_count": 396, + "id": "7b5a313b-ccde-40f3-8e8f-fbf89aad1175", "metadata": {}, "outputs": [ { @@ -17275,493 +26610,792 @@ " \n", " \n", " \n", - " place\n", - " player\n", - " country\n", - " score\n", - " to par\n", + " id\n", + " statement\n", + " label\n", + " table_caption\n", + " table_text\n", + " pandas_code\n", + " pandas_eval\n", + " nlsep_query\n", + " semtab_query\n", " \n", " \n", " \n", " \n", " 0\n", + " 0\n", + " haroldo be mention as a brazil scorer for 2 di...\n", " 1\n", - " curtis strange\n", - " united states\n", - " 70 + 67 + 69 = 206\n", - " - 7\n", + " 1919 in brazilian football\n", + " date#result#score#brazil scorers#competition\\n...\n", + " df['brazil scorers'].apply(lambda x: 'haroldo'...\n", + " True\n", + " haroldo be mention as a brazil scorer for 2 di...\n", + " haroldo be mention as a brazil scorer for 2 di...\n", " \n", " \n", " 1\n", - " t2\n", - " nick faldo\n", - " england\n", - " 72 + 67 + 68 = 207\n", - " - 6\n", + " 1\n", + " 4 of the 5 game be for the south american cham...\n", + " 1\n", + " 1919 in brazilian football\n", + " date#result#score#brazil scorers#competition\\n...\n", + " (df['competition'].value_counts()['south ameri...\n", + " True\n", + " 4 of the 5 game be for the south american cham...\n", + " 4 of the 5 game be for the south american cham...\n", " \n", " \n", " 2\n", - " t2\n", - " bob gilder\n", - " united states\n", - " 68 + 69 + 70 = 207\n", - " - 6\n", + " 2\n", + " friedenreich be mention as a brazil scorer for...\n", + " 1\n", + " 1919 in brazilian football\n", + " date#result#score#brazil scorers#competition\\n...\n", + " df['brazil scorers'].str.contains('friedenreic...\n", + " True\n", + " friedenreich be mention as a brazil scorer for...\n", + " friedenreich be mention as a brazil scorer for...\n", " \n", " \n", " 3\n", - " t2\n", - " scott simpson\n", - " united states\n", - " 69 + 66 + 72 = 207\n", - " - 6\n", + " 3\n", + " there be 2 different game where the highest sc...\n", + " 1\n", + " 1919 in brazilian football\n", + " date#result#score#brazil scorers#competition\\n...\n", + " len(df[df['score'].str.extract(r'^(\\d+) - \\d+$...\n", + " True\n", + " there be 2 different game where the highest sc...\n", + " there be 2 different game where the highest sc...\n", " \n", " \n", " 4\n", - " t5\n", - " larry mize\n", - " united states\n", - " 69 + 67 + 72 = 208\n", - " - 5\n", + " 4\n", + " 4 of the 5 game be play in may 1919\n", + " 1\n", + " 1919 in brazilian football\n", + " date#result#score#brazil scorers#competition\\n...\n", + " (df['date'].str.contains('may') & df['date'].s...\n", + " True\n", + " 4 of the 5 game be play in may 1919 col : dat...\n", + " 4 of the 5 game be play in may 1919 <TABLE><DE...\n", " \n", " \n", - " 5\n", - " t5\n", - " d a weibring\n", - " united states\n", - " 71 + 69 + 68 = 208\n", - " - 5\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", " \n", " \n", - " 6\n", - " 7\n", - " mark o'meara\n", - " united states\n", - " 71 + 72 + 66 = 209\n", - " - 4\n", + " 88111\n", + " 92278\n", + " jerraud power , 192 pound (87 kg) , be choose ...\n", + " 1\n", + " 2009 indianapolis colts season\n", + " round#choice#player#position#height#weight#col...\n", + " df[(df['player'] == 'jerraud powers') & (df['w...\n", + " True\n", + " jerraud power , 192 pound (87 kg) , be choose ...\n", + " jerraud power , 192 pound (87 kg) , be choose ...\n", " \n", " \n", - " 7\n", - " 8\n", - " fred couples\n", - " united states\n", - " 72 + 67 + 71 = 210\n", - " - 3\n", + " 88112\n", + " 92279\n", + " terrence taylor play for auburn\n", + " 0\n", + " 2009 indianapolis colts season\n", + " round#choice#player#position#height#weight#col...\n", + " df[df['player'] == 'terrance taylor']['college...\n", + " False\n", + " terrence taylor play for auburn col : round |...\n", + " terrence taylor play for auburn <TABLE><DESCRI...\n", " \n", " \n", - " 8\n", - " 9\n", - " lanny wadkins\n", - " united states\n", - " 70 + 71 + 70 = 211\n", - " - 2\n", + " 88113\n", + " 92280\n", + " curtis painter 's position be quarterback and ...\n", + " 0\n", + " 2009 indianapolis colts season\n", + " round#choice#player#position#height#weight#col...\n", + " (df[df['player'] == 'curtis painter']['positio...\n", + " False\n", + " curtis painter 's position be quarterback and ...\n", + " curtis painter 's position be quarterback and ...\n", " \n", " \n", - " 9\n", - " 10\n", - " ken green\n", - " united states\n", - " 72 + 70 + 70 = 212\n", - " - 1\n", + " 88114\n", + " 92281\n", + " the player who weigh the most play in round 3\n", + " 0\n", + " 2009 indianapolis colts season\n", + " round#choice#player#position#height#weight#col...\n", + " (df.loc[df['weight'].str.extract('(\\\\d+)').ast...\n", + " False\n", + " the player who weigh the most play in round 3 ...\n", + " the player who weigh the most play in round 3 ...\n", + " \n", + " \n", + " 88115\n", + " 92282\n", + " for 2007 / 08 , metal - volume (thousand tons)...\n", + " 1\n", + " iran mercantile exchange\n", + " ime exchange (including spot , credit and forw...\n", + " df.loc[df['ime exchange (including spot , cred...\n", + " True\n", + " for 2007 / 08 , metal - volume (thousand tons)...\n", + " for 2007 / 08 , metal - volume (thousand tons)...\n", " \n", " \n", "\n", + "

          88116 rows × 9 columns

          \n", "" ], "text/plain": [ - " place player country score to par\n", - "0 1 curtis strange united states 70 + 67 + 69 = 206 - 7\n", - "1 t2 nick faldo england 72 + 67 + 68 = 207 - 6\n", - "2 t2 bob gilder united states 68 + 69 + 70 = 207 - 6\n", - "3 t2 scott simpson united states 69 + 66 + 72 = 207 - 6\n", - "4 t5 larry mize united states 69 + 67 + 72 = 208 - 5\n", - "5 t5 d a weibring united states 71 + 69 + 68 = 208 - 5\n", - "6 7 mark o'meara united states 71 + 72 + 66 = 209 - 4\n", - "7 8 fred couples united states 72 + 67 + 71 = 210 - 3\n", - "8 9 lanny wadkins united states 70 + 71 + 70 = 211 - 2\n", - "9 10 ken green united states 72 + 70 + 70 = 212 - 1" + " id statement label \\\n", + "0 0 haroldo be mention as a brazil scorer for 2 di... 1 \n", + "1 1 4 of the 5 game be for the south american cham... 1 \n", + "2 2 friedenreich be mention as a brazil scorer for... 1 \n", + "3 3 there be 2 different game where the highest sc... 1 \n", + "4 4 4 of the 5 game be play in may 1919 1 \n", + "... ... ... ... \n", + "88111 92278 jerraud power , 192 pound (87 kg) , be choose ... 1 \n", + "88112 92279 terrence taylor play for auburn 0 \n", + "88113 92280 curtis painter 's position be quarterback and ... 0 \n", + "88114 92281 the player who weigh the most play in round 3 0 \n", + "88115 92282 for 2007 / 08 , metal - volume (thousand tons)... 1 \n", + "\n", + " table_caption \\\n", + "0 1919 in brazilian football \n", + "1 1919 in brazilian football \n", + "2 1919 in brazilian football \n", + "3 1919 in brazilian football \n", + "4 1919 in brazilian football \n", + "... ... \n", + "88111 2009 indianapolis colts season \n", + "88112 2009 indianapolis colts season \n", + "88113 2009 indianapolis colts season \n", + "88114 2009 indianapolis colts season \n", + "88115 iran mercantile exchange \n", + "\n", + " table_text \\\n", + "0 date#result#score#brazil scorers#competition\\n... \n", + "1 date#result#score#brazil scorers#competition\\n... \n", + "2 date#result#score#brazil scorers#competition\\n... \n", + "3 date#result#score#brazil scorers#competition\\n... \n", + "4 date#result#score#brazil scorers#competition\\n... \n", + "... ... \n", + "88111 round#choice#player#position#height#weight#col... \n", + "88112 round#choice#player#position#height#weight#col... \n", + "88113 round#choice#player#position#height#weight#col... \n", + "88114 round#choice#player#position#height#weight#col... \n", + "88115 ime exchange (including spot , credit and forw... \n", + "\n", + " pandas_code pandas_eval \\\n", + "0 df['brazil scorers'].apply(lambda x: 'haroldo'... True \n", + "1 (df['competition'].value_counts()['south ameri... True \n", + "2 df['brazil scorers'].str.contains('friedenreic... True \n", + "3 len(df[df['score'].str.extract(r'^(\\d+) - \\d+$... True \n", + "4 (df['date'].str.contains('may') & df['date'].s... True \n", + "... ... ... \n", + "88111 df[(df['player'] == 'jerraud powers') & (df['w... True \n", + "88112 df[df['player'] == 'terrance taylor']['college... False \n", + "88113 (df[df['player'] == 'curtis painter']['positio... False \n", + "88114 (df.loc[df['weight'].str.extract('(\\\\d+)').ast... False \n", + "88115 df.loc[df['ime exchange (including spot , cred... True \n", + "\n", + " nlsep_query \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 col : dat... \n", + "... ... \n", + "88111 jerraud power , 192 pound (87 kg) , be choose ... \n", + "88112 terrence taylor play for auburn col : round |... \n", + "88113 curtis painter 's position be quarterback and ... \n", + "88114 the player who weigh the most play in round 3 ... \n", + "88115 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " semtab_query \n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 3812\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3813\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", + "File \u001b[0;32mpandas/_libs/index.pyx:167\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/index.pyx:196\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7088\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7096\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'table_csv'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[397], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdata2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtable_csv\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/frame.py:4113\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 4112\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_multilevel(key)\n\u001b[0;32m-> 4113\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4114\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[1;32m 4115\u001b[0m indexer \u001b[38;5;241m=\u001b[39m [indexer]\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/indexes/base.py:3819\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3814\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m 3815\u001b[0m \u001b[38;5;28misinstance\u001b[39m(casted_key, abc\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m 3816\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[1;32m 3817\u001b[0m ):\n\u001b[1;32m 3818\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3819\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 3820\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m 3821\u001b[0m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m 3822\u001b[0m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m 3823\u001b[0m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n\u001b[1;32m 3824\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n", + "\u001b[0;31mKeyError\u001b[0m: 'table_csv'" + ] } ], "source": [ - "df.dtypes" + "data2['table_csv']\n" ] }, { "cell_type": "code", - "execution_count": 230, - "id": "9ec1801f-ad92-4b72-8267-9df578e1185b", + "execution_count": 401, + "id": "bfda358a-e682-4ddb-84c4-008cc76fc6ee", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "place Unable to parse string \"t2\" at position 1\n", - "player Unable to parse string \"curtis strange\" at position 0\n", - "country Unable to parse string \"united states\" at position 0\n", - "score Unable to parse string \"70 + 67 + 69 = 206\" at position 0\n", - "to par Unable to parse string \"- 7\" at position 0\n" - ] + "data": { + "text/plain": [ + "Column(['2-1570274-4.html.csv', '2-1570274-4.html.csv', '2-1570274-4.html.csv', '2-1570274-4.html.csv', '2-1570274-4.html.csv'])" + ] + }, + "execution_count": 401, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "for col in df.columns:\n", - " try:\n", - " df[col] = pd.to_numeric(df[col])\n", - " except ValueError as e:\n", - " print(col,e)\n", - " # Если возникает ошибка, оставляем столбец как есть\n", - " pass" + "data['table_csv']" ] }, { "cell_type": "code", - "execution_count": 235, - "id": "deb87756-4766-4caa-bc96-8fd5fa41e23f", + "execution_count": 403, + "id": "6e332d38-3ed8-43ce-9b9b-c5f6a01a5164", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "-7" + "Column(['tony lema be in the top 5 for the master tournament , the us open , and the open championship', 'tournament that tony lema have participate in include the master tournament , the us open , the pga championship and the open championship', 'the only tournament that tony lema win in be the open championship', 'tony lema do not win in the us open', 'tony lema make it to the top 10 in the pga championship , but do not continue on'])" ] }, - "execution_count": 235, + "execution_count": 403, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "int('-7')" + "data['statement']" ] }, { "cell_type": "code", - "execution_count": 236, - "id": "9e818218-300a-4a29-85ea-1c5f16f5da92", + "execution_count": 34, + "id": "f8963581-9edb-4690-b328-bdbf9b2c9671", + "metadata": {}, + "outputs": [], + "source": [ + "from datasets import load_from_disk,Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1f64a9fe-e6fa-47fb-baf5-ef8249c7e2b5", + "metadata": {}, + "outputs": [], + "source": [ + "data = load_from_disk('tab_fact_test_semtab_xml_ablation_new')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "75457eb2-42f0-4d65-9edb-9bfe80d778da", "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 410, + "id": "b09efe47-2391-423d-b29d-da4039f057fa", + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { "text/plain": [ - "np.True_" + "1695" ] }, - "execution_count": 236, + "execution_count": 410, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "eval(\"df.loc[df['score'].isin(df.loc[df['place']==5, 'score']), 'player'].str.contains('larry mize|d a weibring').all()\")" + "arr = [ i for i in data['table_csv']]\n", + "len(set(arr))" ] }, { "cell_type": "code", - "execution_count": 334, - "id": "5ad79a70-8a2f-4423-96e8-f6373ae279de", + "execution_count": 5, + "id": "e74a1bf1-aa10-48ff-ab8a-de42c48e0e3f", "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", - " num_rows: 12779\n", - "})\n", - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", - " num_rows: 2798\n", - "})\n", - "21.89529697159402\n", - "100.0\n", - "57.255182273052185\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 27316.22 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 28516.71 examples/s]\n" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "55.450348227560845\n" - ] - }, + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50', 'semtab_xml_attributes_top1_tresh50_answ', 'semtab_xml_attributes_top1_tresh50_label', 'semtab_xml_attributes_top1_tresh50_answ_correct', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_exampples_description_top1_tresh50_label', 'semtab_xml_elements_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_description_top1_tresh50_answ', 'semtab_xml_elements_description_top1_tresh50_label', 'semtab_xml_elements_description_top1_tresh50_answ_correct', 'semtab_xml_elements_top1_tresh50_answ', 'semtab_xml_elements_top1_tresh50_label', 'semtab_xml_elements_top1_tresh50_answ_correct'],\n", + " num_rows: 12779\n", + "})" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.filter(lambda x: x['semtab_xml_elements_top1_tresh50'] != 'None',num_proc=17)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bd0c3705-8d93-4976-a3b8-c3f99ef53e81", + "metadata": {}, + "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" + "data": { + "text/plain": [ + "'
          res
          record
          opponent
          method
          event
          round
          time
          location
          '" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data[3434]['semtab_xml_elements_top1_tresh50']" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "6e16a6cf-2323-4887-bf87-c807fa33c443", + "metadata": {}, + "outputs": [], + "source": [ + "data1 = load_from_disk(\"tab_fact_test_semtab_xml_ablation_new\")\n", + "data_continue = load_from_disk(\"tab_fact_test_semtab_xml_ablation_new_continue\")" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "282041da-8bd6-4b2c-a1e4-977cc86cbc43", + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'utils'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[48], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mutils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m load_config\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'utils'" ] } ], "source": [ - "data = load_from_disk('tab_fact_test_xml_nlsep_new_correct_modify/')\n", - "print(data)\n", - "process_data = data.filter(lambda x : x['nlsep_answ_correct'] != 'None',num_proc=17)\n", - "print(process_data)\n", - "dd = process_data.filter(lambda x: True if x['nlsep_label']!='None' else False,num_proc=17)\n", - "print(dd.shape[0]/data.shape[0]*100)\n", - "print(dd.shape[0]/process_data.shape[0]*100)\n", - "true = dd.filter(lambda x : True if x['nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(true.shape[0]/process_data.shape[0]*100)\n", - "full = data.filter(lambda x : True if x['nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(full.shape[0]/data.shape[0]*100)\n" + "from utils.utils import load_config\n" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "5a710b5d-df4a-44d1-83b6-e5c308812b0a", + "metadata": {}, + "outputs": [], + "source": [ + "config = load_config('semtab_xml_config_answer2.yaml')\n", + "conf_continue = load_config('semtab_xml_config_answer2_continue.yaml')" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "31dff60e-5038-4d16-a1c2-c87462861726", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['semtab_xml_attributes_top1_tresh50',\n", + " 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_description_top1_tresh50',\n", + " 'semtab_xml_elements_top1_tresh50']" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tests_continue = list(conf_continue.keys())\n", + "tests_continue" ] }, { "cell_type": "code", - "execution_count": 329, - "id": "ecf76bba-e2ea-4c7a-be4e-946cda61935c", + "execution_count": 39, + "id": "62e5e664-e6ba-4adb-b9e7-8c3f62ea9ed6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", - " num_rows: 2798\n", - "})" + "['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_attributes_exampples_description_top1_tresh50',\n", + " 'semtab_xml_attributes_description_top1_tresh50',\n", + " 'semtab_xml_attributes_top1_tresh50',\n", + " 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_description_top1_tresh50',\n", + " 'semtab_xml_elements_top1_tresh50']" ] }, - "execution_count": 329, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "true = dd.filter(lambda x : True if x['nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n" + "tests = list(config.keys())\n", + "tests" ] }, { "cell_type": "code", - "execution_count": 335, - "id": "d8c9edfc-6842-413b-9a5d-7f755f7f990a", + "execution_count": 31, + "id": "b42b383d-89f8-47e0-8629-048615b6d3b7", "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'semtab_answ', 'semtab_label', 'semtab_answ_correct'],\n", - " num_rows: 12779\n", - "})\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25449.74 examples/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'semtab_answ', 'semtab_label', 'semtab_answ_correct'],\n", - " num_rows: 2727\n", - "})\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 2727/2727 [00:00<00:00, 5528.78 examples/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "21.339697941935988\n", - "100.0\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 2727/2727 [00:00<00:00, 5716.06 examples/s]\n" + "100%|██████████| 6/6 [00:00<00:00, 141.79it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "54.49211587825449\n" + "semtab_xml_attributes_top1_tresh50\n", + "semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50\n", + "semtab_xml_elements_datatype_exampples_description_top1_tresh50\n", + "semtab_xml_elements_exampples_description_top1_tresh50\n", + "semtab_xml_elements_description_top1_tresh50\n", + "semtab_xml_elements_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25739.32 examples/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "51.85069254245246\n" + "\n" ] - }, + } + ], + "source": [ + "from tqdm import tqdm\n", + "# 'semtab_xml_elements_top1_tresh50_answ', 'semtab_xml_elements_top1_tresh50_label', 'semtab_xml_elements_top1_tresh50_answ_correct'\n", + "ddata1 = data1.to_dict()\n", + "for expr in tqdm(tests_continue):\n", + " print(expr)\n", + " ddata1[f'{expr}_answ'] = data_continue[f'{expr}_answ']\n", + " ddata1[f'{expr}_label'] = data_continue[f'{expr}_label']\n", + " ddata1[f'{expr}_answ_correct'] = data_continue[f'{expr}_answ_correct']\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "f6f22517-27ea-49a9-b621-3f424cbc134a", + "metadata": {}, + "outputs": [], + "source": [ + "data1 = Dataset.from_dict(ddata1)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "2927e408-3464-4db1-950e-e1857adfcdd8", + "metadata": {}, + "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "\n" + "Saving the dataset (1/1 shards): 100%|██████████| 12779/12779 [00:00<00:00, 39481.09 examples/s]\n" ] } ], "source": [ - "data = load_from_disk('tab_fact_test_xml_semtab_new_correct_modify/')\n", - "print(data)\n", - "process_data = data.filter(lambda x : x['semtab_answ_correct'] != 'None',num_proc=17)\n", - "print(process_data)\n", - "dd = process_data.filter(lambda x: True if x['semtab_label']!='None' else False,num_proc=17)\n", - "print(dd.shape[0]/data.shape[0]*100)\n", - "print(dd.shape[0]/process_data.shape[0]*100)\n", - "true = dd.filter(lambda x : True if x['semtab_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(true.shape[0]/process_data.shape[0]*100)\n", - "full = data.filter(lambda x : True if x['semtab_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(full.shape[0]/data.shape[0]*100)\n" + "data1.save_to_disk('tab_fact_test_semtab_xml_ablation_new')" ] }, { "cell_type": "code", - "execution_count": 327, - "id": "56fb6f59-7181-4b18-b423-6a9fbc2db338", + "execution_count": 40, + "id": "bb0bff92-77c6-4e70-af17-363285628c8b", + "metadata": {}, + "outputs": [], + "source": [ + "data = data1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b677163f-d395-4274-a0a9-83a39d448365", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 330, + "id": "0ddedec0-8348-4137-9a02-70d8808fdffa", + "metadata": {}, + "outputs": [], + "source": [ + "data = load_from_disk(\"tab_fact_test_defgen_test_answers\")" + ] + }, + { + "cell_type": "code", + "execution_count": 331, + "id": "c38f82f0-b759-4522-affe-508e66801e35", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'tournament object\\nwins int64\\ntop - 5 int64\\ntop - 10 int64\\ntop - 25 int64\\nevents int64\\ncuts made int64'" + "['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50']" ] }, - "execution_count": 327, + "execution_count": 331, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_info" + "config = load_config('semtab_semantic_test_answer.yaml')\n", + "tests = list(config.keys())\n", + "tests" ] }, { "cell_type": "code", - "execution_count": 336, - "id": "ad7ab9cb-d6ee-4d00-8598-faee3c5b46f6", + "execution_count": 333, + "id": "14830bea-b270-4168-bbc0-a50ebe9342e8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'semtab_answ', 'semtab_label', 'semtab_answ_correct'],\n", - " num_rows: 12779\n", - "})\n" + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n", + "Процент корректируемых ответов 20.90930432741216\n", + "успешно скорректированные отноосительно корректируемых 55.351796407185624\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25729.94 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 16525.82 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 10107/10107 [00:00<00:00, 12320.31 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'semtab_answ', 'semtab_label', 'semtab_answ_correct'],\n", - " num_rows: 2876\n", - "})\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 2876/2876 [00:00<00:00, 5600.28 examples/s]\n" + "Общая точность 54.855622505673374\n", + "точность без учета коррекции 43.28194694420534\n", + "different 0.0\n" ] - }, + } + ], + "source": [ + "acc_old = None\n", + "for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = process_data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " print('Процент корректируемых ответов',process_data.shape[0]/data.shape[0]*100)\n", + " cor = process_data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('успешно скорректированные отноосительно корректируемых ',cor.shape[0]/process_data.shape[0]*100)\n", + "\n", + " #print(dd.shape[0]/data.shape[0]*100)\n", + " #print(dd.shape[0]/process_data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " #print(true.shape[0]/process_data.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " without_corr = data.filter(lambda x : x[f'{test}_answ_correct'] == 'None',num_proc=17)\n", + " full_wo_corr = without_corr.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('Общая точность',acc)\n", + " print('точность без учета коррекции',full_wo_corr.shape[0]/data.shape[0]*100)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" + ] + }, + { + "cell_type": "code", + "execution_count": 294, + "id": "ea6090b6-ea53-4f71-90dd-ec03a3e99586", + "metadata": {}, + "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "22.50567337037327\n", - "100.0\n" - ] - }, + "data": { + "text/plain": [ + "{'id': 0,\n", + " 'table_csv': '2-1570274-4.html.csv',\n", + " 'table_text': 'tournament#wins#top - 5#top - 10#top - 25#events#cuts made\\nmasters tournament#0#1#2#4#4#4\\nus open#0#2#3#4#6#5\\nthe open championship#1#2#2#2#3#3\\npga championship#0#0#1#2#5#4\\ntotals#1#5#8#12#18#16\\n',\n", + " 'label': 1,\n", + " 'statement': 'tony lema be in the top 5 for the master tournament , the us open , and the open championship',\n", + " 'table_caption': 'tony lema',\n", + " 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50': '
          ',\n", + " 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ': '```json\\n\"PANDA\": \"(df[\\'tournament\\'].isin([\\'masters tournament\\', \\'us open\\', \\'open championship\\']) & (df[\\'top - 5\\'] <= 5)).any()\"\\n```\\nThis code checks if Tony Lema\\'s name is in the top 5 in any of the specified tournaments.\\n',\n", + " 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_label': 'True',\n", + " 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ_correct': 'None'}" + ] + }, + "execution_count": 294, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = load_from_disk(\"tab_fact_test_cossim_new_test_answers\")\n", + "data[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 292, + "id": "7dce8c58-8464-4c8a-8390-a7e5f6bcd900", + "metadata": {}, + "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 2876/2876 [00:00<00:00, 5845.32 examples/s]\n" - ] - }, + "data": { + "text/plain": [ + "['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50']" + ] + }, + "execution_count": 292, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "config = load_config('semtab_semantic_test_answer.yaml')\n", + "tests = list(config.keys())\n", + "tests" + ] + }, + { + "cell_type": "code", + "execution_count": 293, + "id": "7ebba629-a077-4cca-8df6-b9cf9f836f5f", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "54.24200278164116\n" + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 26336.59 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 15926.49 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2549/2549 [00:00<00:00, 3259.75 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2549/2549 [00:00<00:00, 3259.29 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 16591.42 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "52.81320917129666\n" + "55.09038265905001\n", + "different 0.0\n" ] }, { @@ -17773,93 +27407,132 @@ } ], "source": [ - "data = load_from_disk('tab_fact_test_xml_semtab_new_correct_modify_add_info/')\n", - "print(data)\n", - "process_data = data.filter(lambda x : x['semtab_answ_correct'] != 'None',num_proc=17)\n", - "print(process_data)\n", - "dd = process_data.filter(lambda x: True if x['semtab_label']!='None' else False,num_proc=17)\n", - "print(dd.shape[0]/data.shape[0]*100)\n", - "print(dd.shape[0]/process_data.shape[0]*100)\n", - "true = dd.filter(lambda x : True if x['semtab_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(true.shape[0]/process_data.shape[0]*100)\n", - "full = data.filter(lambda x : True if x['semtab_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(full.shape[0]/data.shape[0]*100)" + "acc_old = None\n", + "for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = process_data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " #print(dd.shape[0]/data.shape[0]*100)\n", + " #print(dd.shape[0]/process_data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " #print(true.shape[0]/process_data.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " print(acc)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" ] }, { "cell_type": "code", - "execution_count": 337, - "id": "1ead2964-6306-458c-adcf-ccf9016f58a9", + "execution_count": 269, + "id": "88c1a47f-427e-463f-81d1-509aaad8d3d2", + "metadata": {}, + "outputs": [], + "source": [ + "data = load_from_disk(\"tab_fact_test_cossim_test_3_answers\")" + ] + }, + { + "cell_type": "code", + "execution_count": 270, + "id": "8d30c1dc-bbde-44c1-ad5f-dae9766874fa", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", - " num_rows: 12779\n", - "})\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25537.02 examples/s]\n" - ] - }, + "data": { + "text/plain": [ + "['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50']" + ] + }, + "execution_count": 270, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "config = load_config('semtab_semantic_test_answer.yaml')\n", + "tests = list(config.keys())\n", + "tests" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6ccfeca4-a0d6-4bf8-a30d-9893568c5c1a", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "3324c0e6-7f93-40fd-bfb9-f07ac7b70452", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", - " num_rows: 2747\n", - "})\n" + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 2747/2747 [00:00<00:00, 5446.84 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:01<00:00, 10353.76 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2523/2523 [00:01<00:00, 2053.87 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2523/2523 [00:00<00:00, 2669.42 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 13074.24 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "21.496204710853746\n", - "100.0\n" + "53.53314030831834\n", + "different 0.0\n", + "semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 2747/2747 [00:00<00:00, 5683.92 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 12945.48 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2932/2932 [00:01<00:00, 2794.86 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2932/2932 [00:00<00:00, 3509.96 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 15794.23 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "58.79140880961048\n" + "52.56279834102825\n", + "different -0.9703419672900893\n", + "semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 26767.75 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 15689.92 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2626/2626 [00:00<00:00, 3018.70 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2626/2626 [00:00<00:00, 3193.93 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 15116.81 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "54.229595430002355\n" + "52.883637217309655\n", + "different 0.3208388762814067\n" ] }, { @@ -17871,408 +27544,350 @@ } ], "source": [ - "data = load_from_disk('tab_fact_test_xml_nlsep_new_correct_modify_noadd_info/')\n", - "print(data)\n", - "process_data = data.filter(lambda x : x['nlsep_answ_correct'] != 'None',num_proc=17)\n", - "print(process_data)\n", - "dd = process_data.filter(lambda x: True if x['nlsep_label']!='None' else False,num_proc=17)\n", - "print(dd.shape[0]/data.shape[0]*100)\n", - "print(dd.shape[0]/process_data.shape[0]*100)\n", - "true = dd.filter(lambda x : True if x['nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(true.shape[0]/process_data.shape[0]*100)\n", - "full = data.filter(lambda x : True if x['nlsep_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(full.shape[0]/data.shape[0]*100)" + "acc_old = None\n", + "for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = process_data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " #print(dd.shape[0]/data.shape[0]*100)\n", + " #print(dd.shape[0]/process_data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " #print(true.shape[0]/process_data.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " print(acc)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" ] }, { "cell_type": "code", - "execution_count": 340, - "id": "e59bc21d-56ae-4a93-b8e4-9da74c2ed256", + "execution_count": 74, + "id": "465ace4e-fa8f-4797-b71b-40737056c3fb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - " tournament wins top - 5 top - 10 top - 25 events cuts made\n", - "0 masters tournament 0 1 2 4 4 4\n", - "1 us open 0 2 3 4 6 5\n", - "2 the open championship 1 2 2 2 3 3\n", - "3 pga championship 0 0 1 2 5 4\n", - "4 totals 1 5 8 12 18 16\n" + "-0.2890000000000015\n", + "-0.11999999999999744\n", + "0.21000000000000085\n" ] } ], "source": [ - "print(df.to_string())" - ] - }, - { - "cell_type": "code", - "execution_count": 341, - "id": "67859f43-22fb-45d9-a140-ac54376e47d5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'nlsep_answ', 'nlsep_label', 'nlsep_answ_correct'],\n", - " num_rows: 12779\n", - "})" - ] - }, - "execution_count": 341, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data" - ] - }, - { - "cell_type": "code", - "execution_count": 342, - "id": "753d3b4d-cf73-4188-be81-a2776e0f42b9", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'tony lema be in the top 5 for the master tournament , the us open , and the open championship'" - ] - }, - "execution_count": 342, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data[0]['statement']" - ] - }, - { - "cell_type": "code", - "execution_count": 343, - "id": "0aa35393-c5e8-4d63-bfbf-b047d7bb7b21", - "metadata": {}, - "outputs": [], - "source": [ - "import yaml\n", - "def load_config(config_file_path):\n", - " with open(config_file_path, 'r') as stream:\n", - " try:\n", - " # Use safe_load for security\n", - " config = yaml.safe_load(stream)\n", - " return config\n", - " except yaml.YAMLError as exc:\n", - " print(exc)\n", - " " + "print(53.533 - 53.822)\n", + "print(52.56 - 52.68 )\n", + "print(52.88 - 52.67)" ] }, { "cell_type": "code", - "execution_count": 344, - "id": "e6eec661-04e8-4f84-a16a-a5cba91ccbea", + "execution_count": 282, + "id": "f7789b04-1088-4811-aa9b-65881f8b3ca1", "metadata": {}, "outputs": [], "source": [ - " config_data = load_config('convert_config.yaml')" + "data = load_from_disk(\"tab_fact_test_cossim_test_3_answers_2\")" ] }, { "cell_type": "code", - "execution_count": 347, - "id": "f46cb4df-5f27-4dd2-944d-6e12ac08f4ea", + "execution_count": 283, + "id": "f4758c5c-57d9-4927-9f3e-42d76f0a9782", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "dict_keys(['semtab_xml_elements'])" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct'],\n", + " num_rows: 3\n", + "})" ] }, - "execution_count": 347, + "execution_count": 283, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "\n", - "config_data.keys()\n" + "data.select(range(3))" ] }, { "cell_type": "code", - "execution_count": 349, - "id": "2a9239e1-4209-40cf-b793-c91cbdf52708", + "execution_count": 286, + "id": "481c4f70-4339-4700-9d08-ae44153bc38f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "bool" + "['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50']" ] }, - "execution_count": 349, + "execution_count": 286, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "type(config_data['semtab_xml_elements']['include_data_types'])" + "config = load_config('semtab_semantic_test_answer.yaml')\n", + "tests = list(config.keys())\n", + "tests" ] }, { "cell_type": "code", - "execution_count": 356, - "id": "3784daff-54d5-4234-86b5-bdc4b1f4c943", + "execution_count": 273, + "id": "eb449491-25d7-4270-8f31-3809389d9b3f", "metadata": {}, "outputs": [], "source": [ - "data = load_from_disk('tab_fact_test_universal2')" - ] - }, - { - "cell_type": "code", - "execution_count": 357, - "id": "7a01aea4-3e86-48df-ad02-bee45e73411a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50'],\n", - " num_rows: 12779\n", - "})" - ] - }, - "execution_count": 357, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data" + "tests = ['semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50']" ] }, { "cell_type": "code", - "execution_count": 358, - "id": "60933c47-395d-46fd-bd51-ef8f589e71f4", + "execution_count": 287, + "id": "cc4b5254-cb93-4d86-ae73-31e49bc37613", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "'
          1989 u.s. open (golf)
          placeplayercountryscoreto parmoney
          '" - ] - }, - "execution_count": 358, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n", + "выполнимость 93.04327412160576\n", + "53.822677830816176\n", + "different 0.0\n" + ] } ], "source": [ - "data[50]['semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50']" + "acc_old = None\n", + "for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = process_data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " pp = data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " print('выполнимость',pp.shape[0]/data.shape[0]*100)\n", + " #print(dd.shape[0]/process_data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " #print(true.shape[0]/process_data.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " print(acc)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" ] }, { "cell_type": "code", - "execution_count": 360, - "id": "ea879a46-97b4-4905-9c85-f90bf7fe89ad", + "execution_count": 41, + "id": "cc621610-53b6-45f2-8d17-48f98e7228e8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'space_answ', 'space_label', 'space_answ_correct'],\n", - " num_rows: 12779\n", - "})\n" + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25156.65 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 790.00 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2531/2531 [00:16<00:00, 152.42 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2531/2531 [00:16<00:00, 152.10 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 768.34 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'nlsep_query', 'semtab_query', 'space_answ', 'space_label', 'space_answ_correct'],\n", - " num_rows: 3026\n", - "})\n" + "54.1982940762188\n", + "different 0.0\n", + "semtab_xml_attributes_datatype_exampples_description_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 3026/3026 [00:00<00:00, 5870.48 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 764.43 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2398/2398 [00:16<00:00, 143.54 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2398/2398 [00:16<00:00, 141.34 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 765.33 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "23.679474137256438\n", - "100.0\n" + "55.176461381954766\n", + "different 0.9781673057359654\n", + "semtab_xml_attributes_exampples_description_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 3026/3026 [00:00<00:00, 5859.72 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 761.22 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2294/2294 [00:16<00:00, 136.85 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2294/2294 [00:17<00:00, 134.80 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 721.67 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "56.2128222075347\n" + "54.605211675404966\n", + "different -0.5712497065497999\n", + "semtab_xml_attributes_description_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 24946.84 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 743.33 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3003/3003 [00:16<00:00, 176.87 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3003/3003 [00:16<00:00, 177.09 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 762.00 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "53.28272947804993\n" + "46.77987322951718\n", + "different -7.8253384458877875\n", + "semtab_xml_attributes_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 756.32 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3171/3171 [00:16<00:00, 187.26 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3171/3171 [00:17<00:00, 185.03 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 755.26 examples/s]\n" ] - } - ], - "source": [ - "data = load_from_disk('tab_fact_test_xml_space_new_correct_modify_noadd_info/')\n", - "print(data)\n", - "process_data = data.filter(lambda x : x['space_answ_correct'] != 'None',num_proc=17)\n", - "print(process_data)\n", - "dd = process_data.filter(lambda x: True if x['space_label']!='None' else False,num_proc=17)\n", - "print(dd.shape[0]/data.shape[0]*100)\n", - "print(dd.shape[0]/process_data.shape[0]*100)\n", - "true = dd.filter(lambda x : True if x['space_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(true.shape[0]/process_data.shape[0]*100)\n", - "full = data.filter(lambda x : True if x['space_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(full.shape[0]/data.shape[0]*100)" - ] - }, - { - "cell_type": "code", - "execution_count": 361, - "id": "425d327f-2b6b-4261-b86b-27f92f4ba9d3", - "metadata": {}, - "outputs": [ + }, { - "ename": "NameError", - "evalue": "name 'tab_fact_test_semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_new_correct_modify_noadd_info' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[361], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mtab_fact_test_semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_new_correct_modify_noadd_info\u001b[49m\n", - "\u001b[0;31mNameError\u001b[0m: name 'tab_fact_test_semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_new_correct_modify_noadd_info' is not defined" + "name": "stdout", + "output_type": "stream", + "text": [ + "46.47468503012755\n", + "different -0.30518819938962594\n", + "semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50\n" ] - } - ], - "source": [ - "tab_fact_test_semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_new_correct_modify_noadd_info\n" - ] - }, - { - "cell_type": "code", - "execution_count": 362, - "id": "d08dd679-0914-43b8-b7a0-b4bc84b53acb", - "metadata": {}, - "outputs": [ + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 753.86 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2806/2806 [00:16<00:00, 165.42 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2806/2806 [00:17<00:00, 164.73 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 731.47 examples/s]\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct'],\n", - " num_rows: 12779\n", - "})\n" + "52.60192503325769\n", + "different 6.12724000313014\n", + "semtab_xml_elements_datatype_exampples_description_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 25331.21 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 755.90 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2564/2564 [00:16<00:00, 151.82 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2564/2564 [00:17<00:00, 150.31 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 761.45 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct'],\n", - " num_rows: 2399\n", - "})\n" + "52.41411691055639\n", + "different -0.18780812270130554\n", + "semtab_xml_elements_exampples_description_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 2399/2399 [00:00<00:00, 4543.86 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 753.56 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2355/2355 [00:17<00:00, 138.19 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 2355/2355 [00:16<00:00, 139.22 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 746.98 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "18.772986931684795\n", - "100.0\n" + "51.529853666171064\n", + "different -0.8842632443853233\n", + "semtab_xml_elements_description_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 2399/2399 [00:00<00:00, 4636.70 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 752.53 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3338/3338 [00:17<00:00, 196.32 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3338/3338 [00:16<00:00, 196.47 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 754.09 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "54.18924551896623\n" + "43.13326551373347\n", + "different -8.396588152437594\n", + "semtab_xml_elements_top1_tresh50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 24993.23 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 750.45 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3357/3357 [00:16<00:00, 197.83 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 3357/3357 [00:17<00:00, 196.06 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 750.14 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "53.86180452304562\n" + "43.61843649737851\n", + "different 0.4851709836450411\n" ] }, { @@ -18284,280 +27899,426 @@ } ], "source": [ - "data = load_from_disk('tab_fact_test_semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_new_correct_modify_noadd_info/')\n", - "print(data)\n", - "process_data = data.filter(lambda x : x['semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct'] != 'None',num_proc=17)\n", - "print(process_data)\n", - "dd = process_data.filter(lambda x: True if x['semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_label']!='None' else False,num_proc=17)\n", - "print(dd.shape[0]/data.shape[0]*100)\n", - "print(dd.shape[0]/process_data.shape[0]*100)\n", - "true = dd.filter(lambda x : True if x['semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(true.shape[0]/process_data.shape[0]*100)\n", - "full = data.filter(lambda x : True if x['semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50_label']==str(bool(x['label'])) else False,num_proc=17)\n", - "print(full.shape[0]/data.shape[0]*100)" + "acc_old = None\n", + "for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = process_data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " #print(dd.shape[0]/data.shape[0]*100)\n", + " #print(dd.shape[0]/process_data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " #print(true.shape[0]/process_data.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " print(acc)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" ] }, { "cell_type": "markdown", - "id": "0c38f01c-bf07-4ed3-9ff7-b3e109a164b4", + "id": "0f4683f4-e3ba-4078-8c14-0e44f8f16263", "metadata": {}, "source": [ + "A - semantic datatype exampples description top1 tresh50\n", + "\n", + "B - datatype exampples description top1 tresh50\n", + "\n", + "C - exampples description top1 tresh50\n", + "\n", + "D - description top1 tresh50\n", + "\n", + "E - top1 tresh50\n", + "\n", "| Method | Accuracy |\n", "|---------------------|:--------:|\n", "| semtab xml elements | 51.85 |\n", "| semtab html | 53.86 |\n", "| space | 53.28 |\n", - "| nlsep | 54.23 |" + "| nlsep | 54.23 |\n", + "\n", + "#### Accuracy\n", + "| Mode | semtab xml attributes | semtab xml elements | semtab html |\n", + "|:----:|:---------------------:|:-------------------:|:-----------:|\n", + "| A | 54.20 | 52.60 | 53.67 |\n", + "| B | 55.17 | 52.41 | 54.82 |\n", + "| C | 54.61 | 51.53 | 54.11 |\n", + "| D | 46.78 | 43.13 | 46.55 |\n", + "| E | 46.47 | 43.62 | 46.49 |\n" ] }, { "cell_type": "code", - "execution_count": null, - "id": "c3717b76-9c07-422f-84e9-484ea55d1e08", + "execution_count": 47, + "id": "1fe9d489-da2c-4e0d-bcf7-cce77d971ada", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "data = load_from_disk('tab_fact_test_universal2')" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "2f7e8c4e-4b5f-4a0b-a3ff-3d3f2d7279f4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50'],\n", + " num_rows: 12779\n", + "})" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "a13e6f8e-9049-4f2a-8495-de66a070241b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "('id',\n", + " 'table_csv',\n", + " 'table_text',\n", + " 'label',\n", + " 'statement',\n", + " 'table_caption',\n", + " 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_datatype_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_exampples_description_top1_tresh50',\n", + " 'semtab_xml_elements_description_top1_tresh50')" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "'id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50'" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "c127b6d0-62fe-4be6-9659-a3360cf318c5", + "metadata": {}, + "outputs": [], + "source": [ + "data = load_from_disk('tab_fact_test_semtab_xml_ablation')" + ] }, { "cell_type": "code", - "execution_count": 364, - "id": "2207705b-8237-4864-8e30-ba1f4b11b97a", + "execution_count": 57, + "id": "d158c0f9-312d-4ee2-990b-3a86e4b127b4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'| | tournament | wins | top - 5 | top - 10 | top - 25 | events | cuts made |\\n|---:|:----------------------|-------:|----------:|-----------:|-----------:|---------:|------------:|\\n| 0 | masters tournament | 0 | 1 | 2 | 4 | 4 | 4 |\\n| 1 | us open | 0 | 2 | 3 | 4 | 6 | 5 |\\n| 2 | the open championship | 1 | 2 | 2 | 2 | 3 | 3 |\\n| 3 | pga championship | 0 | 0 | 1 | 2 | 5 | 4 |\\n| 4 | totals | 1 | 5 | 8 | 12 | 18 | 16 |'" + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50'],\n", + " num_rows: 12779\n", + "})" ] }, - "execution_count": 364, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.to_markdown()" + "data" ] }, { "cell_type": "code", - "execution_count": null, - "id": "30941fab-ff71-43d4-885e-c2f481d3c5c7", + "execution_count": 59, + "id": "697a3195-691a-4b29-9700-9a734dde81c5", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ValueError", + "evalue": "invalid literal for int() with base 10: 'table_text'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[59], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdata\u001b[49m\u001b[43m[\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mid\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtable_csv\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtable_text\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mlabel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mstatement\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtable_caption\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43msemtab_xml_attributes_exampples_description_top1_tresh50\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/datasets/arrow_dataset.py:2876\u001b[0m, in \u001b[0;36mDataset.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 2874\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_format_type \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_format_type \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124marrow\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpandas\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpolars\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m 2875\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m Column(\u001b[38;5;28mself\u001b[39m, key)\n\u001b[0;32m-> 2876\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_getitem\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/datasets/arrow_dataset.py:2857\u001b[0m, in \u001b[0;36mDataset._getitem\u001b[0;34m(self, key, **kwargs)\u001b[0m\n\u001b[1;32m 2855\u001b[0m format_kwargs \u001b[38;5;241m=\u001b[39m format_kwargs \u001b[38;5;28;01mif\u001b[39;00m format_kwargs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m {}\n\u001b[1;32m 2856\u001b[0m formatter \u001b[38;5;241m=\u001b[39m get_formatter(format_type, features\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_info\u001b[38;5;241m.\u001b[39mfeatures, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mformat_kwargs)\n\u001b[0;32m-> 2857\u001b[0m pa_subtable \u001b[38;5;241m=\u001b[39m \u001b[43mquery_table\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindices\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_indices\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2858\u001b[0m formatted_output \u001b[38;5;241m=\u001b[39m format_table(\n\u001b[1;32m 2859\u001b[0m pa_subtable, key, formatter\u001b[38;5;241m=\u001b[39mformatter, format_columns\u001b[38;5;241m=\u001b[39mformat_columns, output_all_columns\u001b[38;5;241m=\u001b[39moutput_all_columns\n\u001b[1;32m 2860\u001b[0m )\n\u001b[1;32m 2861\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m formatted_output\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/datasets/formatting/formatting.py:612\u001b[0m, in \u001b[0;36mquery_table\u001b[0;34m(table, key, indices)\u001b[0m\n\u001b[1;32m 610\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 611\u001b[0m size \u001b[38;5;241m=\u001b[39m indices\u001b[38;5;241m.\u001b[39mnum_rows \u001b[38;5;28;01mif\u001b[39;00m indices \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m table\u001b[38;5;241m.\u001b[39mnum_rows\n\u001b[0;32m--> 612\u001b[0m \u001b[43m_check_valid_index_key\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msize\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 613\u001b[0m \u001b[38;5;66;03m# Query the main table\u001b[39;00m\n\u001b[1;32m 614\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m indices \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/datasets/formatting/formatting.py:562\u001b[0m, in \u001b[0;36m_check_valid_index_key\u001b[0;34m(key, size)\u001b[0m\n\u001b[1;32m 560\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(key, Iterable):\n\u001b[1;32m 561\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(key) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 562\u001b[0m _check_valid_index_key(\u001b[38;5;28;43mint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mmax\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m, size\u001b[38;5;241m=\u001b[39msize)\n\u001b[1;32m 563\u001b[0m _check_valid_index_key(\u001b[38;5;28mint\u001b[39m(\u001b[38;5;28mmin\u001b[39m(key)), size\u001b[38;5;241m=\u001b[39msize)\n\u001b[1;32m 564\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "\u001b[0;31mValueError\u001b[0m: invalid literal for int() with base 10: 'table_text'" + ] + } + ], "source": [ - "python abation_experiments.py --inputdata tab_fact_test_semtab_html_ablation_correcring --outputdata tab_fact_test_semtab_html_ablation_correcring --conf-file semtab_html_config_answer2.yaml --num_proc 16 > correct_tabfact_semtab_html_log2.txt" + "data.map(lambda x:['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption','semtab_xml_attributes_exampples_description_top1_tresh50']]" ] }, { "cell_type": "code", - "execution_count": 365, - "id": "4ecbd443-738c-43d9-ac41-43294253f388", + "execution_count": 61, + "id": "626f9978-3e15-4264-9572-8e486ae1b859", "metadata": {}, "outputs": [], "source": [ - "import torch\n" + "dd = data.select_columns([\n", + " 'id', \n", + " 'table_csv', \n", + " 'table_text', \n", + " 'label', \n", + " 'statement', \n", + " 'table_caption',\n", + " 'semtab_xml_attributes_exampples_description_top1_tresh50'\n", + "])\n" ] }, { "cell_type": "code", - "execution_count": 367, - "id": "af179919-9224-4bf0-9a1d-7a48da554253", + "execution_count": 62, + "id": "6f63017f-41f8-4d40-b1d7-6f33a62aac70", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "'cuda'" - ] - }, - "execution_count": 367, - "metadata": {}, - "output_type": "execute_result" + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving the dataset (1/1 shards): 100%|██████████| 12779/12779 [00:00<00:00, 317636.94 examples/s]\n" + ] } ], "source": [ - "str(torch.device('cuda'))\n" + "dd.save_to_disk('tab_fact_test_llm_semantic_test')" ] }, { "cell_type": "code", - "execution_count": 371, - "id": "d5614fd2-2a41-4317-9e2f-1a115a196648", + "execution_count": null, + "id": "1745253e-64d3-4871-82f6-fef8fa5fc76f", "metadata": {}, "outputs": [], - "source": [ - "data = load_from_disk('tab_fact_test_semtab_html_ablation/')" - ] + "source": [] }, { "cell_type": "code", - "execution_count": 372, - "id": "f5cc8e1c-efed-4fb6-9e11-a4a0297771fa", + "execution_count": 318, + "id": "f8e5061c-3b91-43c7-ac51-4bdd93f0f8f3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50', 'semtab_html_datatype_exampples3_description_top1_tresh50', 'semtab_html_exampples3_description_top1_tresh50', 'semtab_html_description_top1_tresh50', 'semtab_html_top1_tresh50'],\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ_correct'],\n", " num_rows: 12779\n", "})" ] }, - "execution_count": 372, + "execution_count": 318, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data\n" + "# semtab на репанда промпте на репанда lora\n", + "\n", + "data = load_from_disk(\"tab_fact_test_semtab_xml_repanda\")\n", + "data" ] }, { "cell_type": "code", - "execution_count": 374, - "id": "f968be8c-fd4a-4fab-90ae-9c3ed7b98324", + "execution_count": 319, + "id": "3c6bfc04-f0f0-4a28-860e-d36f4f3f2723", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'
          tournamentwinstop - 5top - 10top - 25eventscuts made
          '" + "['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50']" ] }, - "execution_count": 374, + "execution_count": 319, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data[0]['semtab_html_top1_tresh50']\n" - ] - }, - { - "cell_type": "markdown", - "id": "ace5820b-6963-4dc1-8178-e9eb8e0d6945", - "metadata": {}, - "source": [ - "# Ablation study" - ] - }, - { - "cell_type": "code", - "execution_count": 376, - "id": "20107cab-8b91-45db-a3af-f30dd0580d41", - "metadata": {}, - "outputs": [], - "source": [ - "from datasets import load_from_disk" + "config = load_config('semtab_semantic_test_answer.yaml')\n", + "tests = list(config.keys())\n", + "tests" ] }, { "cell_type": "code", - "execution_count": 381, - "id": "9f519f31-280d-4e58-8820-03c4ef9f312e", + "execution_count": 320, + "id": "5be1902b-961f-498e-8b73-18743a8ef39b", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n", + "Процент корректируемых ответов 1.0720713670866264\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 137/137 [00:00<00:00, 169.20 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "успешно скорректированные отноосительно корректируемых 56.934306569343065\n", + "выполнимость 95.05438610219892\n", + "коректность вывыполняемых 75.95291018358442\n", + "72.1965725017607\n", + "different 0.0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], "source": [ - "data = load_from_disk(\"tab_fact_test_semtab_html_ablation_correcring_first_new\")" + "acc_old = None\n", + "for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " print('Процент корректируемых ответов',process_data.shape[0]/data.shape[0]*100)\n", + " cor = process_data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('успешно скорректированные отноосительно корректируемых ',cor.shape[0]/process_data.shape[0]*100)\n", + " print('выполнимость',dd.shape[0]/data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('коректность вывыполняемых ',true.shape[0]/dd.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " print(acc)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" ] }, { "cell_type": "code", - "execution_count": 382, - "id": "847bfa1b-927b-41f6-ba2a-0373d544f653", + "execution_count": 259, + "id": "838f0098-a960-4c8c-b3ab-a5889324bb6c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50', 'semtab_html_datatype_exampples3_description_top1_tresh50', 'semtab_html_exampples3_description_top1_tresh50', 'semtab_html_description_top1_tresh50', 'semtab_html_top1_tresh50', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_exampples3_description_top1_tresh50_answ', 'semtab_html_exampples3_description_top1_tresh50_label', 'semtab_html_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_description_top1_tresh50_answ', 'semtab_html_description_top1_tresh50_label', 'semtab_html_description_top1_tresh50_answ_correct', 'semtab_html_top1_tresh50_answ', 'semtab_html_top1_tresh50_label', 'semtab_html_top1_tresh50_answ_correct'],\n", - " num_rows: 12779\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ_correct'],\n", + " num_rows: 9226\n", "})" ] }, - "execution_count": 382, + "execution_count": 259, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data\n" - ] - }, - { - "cell_type": "code", - "execution_count": 383, - "id": "e52ae62c-5963-471f-9f91-5f5b2cdadb75", - "metadata": {}, - "outputs": [], - "source": [ - "from utils.utils import load_config\n" + "full" ] }, { "cell_type": "code", - "execution_count": 384, - "id": "a513ec25-9696-41be-b50e-59cb088c5022", + "execution_count": 315, + "id": "f3ae7d2b-2133-4d34-8739-c6268cd3d7cc", "metadata": {}, "outputs": [], "source": [ - "config = load_config('semtab_html_config_answer2.yaml')" + "# semtab на репанда промпте на репанда-direct\n", + "\n", + "data = load_from_disk(\"tab_fact_test_semtab_xml_repanda_direct\")" ] }, { "cell_type": "code", - "execution_count": 386, - "id": "d6ba8380-4090-475e-80a7-76e212ad7f7c", + "execution_count": 316, + "id": "c837c7f1-0ea2-4b00-8a4b-bf2b9bc36154", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['semtab_html_semantic_datatype_exampples3_description_top1_tresh50',\n", - " 'semtab_html_datatype_exampples3_description_top1_tresh50',\n", - " 'semtab_html_exampples3_description_top1_tresh50',\n", - " 'semtab_html_description_top1_tresh50',\n", - " 'semtab_html_top1_tresh50']" + "['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50']" ] }, - "execution_count": 386, + "execution_count": 316, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "config = load_config('semtab_semantic_test_answer.yaml')\n", "tests = list(config.keys())\n", "tests" ] }, { "cell_type": "code", - "execution_count": 391, - "id": "b39c63d6-5f2c-4992-bed5-8e84ff9f881d", + "execution_count": 317, + "id": "c76b78ba-0aa0-423e-aef4-6de90b1acc81", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "semtab_html_semantic_datatype_exampples3_description_top1_tresh50\n", - "53.673996400344315\n", - "different 0.0\n", - "semtab_html_datatype_exampples3_description_top1_tresh50\n", - "54.816495813443936\n", - "different 1.142499413099621\n", - "semtab_html_exampples3_description_top1_tresh50\n", - "54.11221535331403\n", - "different -0.7042804601299082\n", - "semtab_html_description_top1_tresh50\n", - "46.545113076140545\n", - "different -7.567102277173483\n", - "semtab_html_top1_tresh50\n", - "46.490335707019334\n", - "different -0.05477736912121145\n" + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n", + "Процент корректируемых ответов 2.183269426402692\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 279/279 [00:00<00:00, 352.81 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "успешно скорректированные отноосительно корректируемых 46.236559139784944\n", + "выполнимость 94.8744033179435\n", + "коректность вывыполняемых 53.28274496865721\n", + "50.55168636043509\n", + "different 0.0\n" ] } ], @@ -18566,11 +28327,13 @@ "for test in tests:\n", " print(test)\n", " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", - " dd = process_data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", - " #print(dd.shape[0]/data.shape[0]*100)\n", - " #print(dd.shape[0]/process_data.shape[0]*100)\n", + " dd = data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " print('Процент корректируемых ответов',process_data.shape[0]/data.shape[0]*100)\n", + " cor = process_data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('успешно скорректированные отноосительно корректируемых ',cor.shape[0]/process_data.shape[0]*100)\n", + " print('выполнимость',dd.shape[0]/data.shape[0]*100)\n", " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", - " #print(true.shape[0]/process_data.shape[0]*100)\n", + " print('коректность вывыполняемых ',true.shape[0]/dd.shape[0]*100)\n", " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", " acc = full.shape[0]/data.shape[0]*100\n", " print(acc)\n", @@ -18582,66 +28345,158 @@ }, { "cell_type": "code", - "execution_count": 392, - "id": "7182ceea-4e3b-4aa4-ba30-9a1c6e7068e2", + "execution_count": null, + "id": "f2f9972e-7ead-42a0-9358-397a1305688c", + "metadata": {}, + "outputs": [], + "source": [ + "fail = data.filter(lambda x : False if x[f'{test}_label']==str(bool(x['label'])) else True,num_proc=17)" + ] + }, + { + "cell_type": "code", + "execution_count": 220, + "id": "a7693f3b-0ff5-4213-a26e-0e8691747a9c", + "metadata": {}, + "outputs": [], + "source": [ + "fail = dd.filter(lambda x : False if x[f'{test}_label']==str(bool(x['label'])) else True,num_proc=17)" + ] + }, + { + "cell_type": "code", + "execution_count": 221, + "id": "c592f820-429b-441d-b154-8ac88c969e57", + "metadata": {}, + "outputs": [], + "source": [ + "def parse_panda_code(input_string):\n", + " \"\"\"\n", + " Парсит строку и извлекает код, который находится внутри конструкции \"PANDA\": <код>\n", + " Поддерживает различные форматы: JSON, простой текст, Markdown\n", + " \n", + " Args:\n", + " input_string (str): Входная строка для парсинга\n", + " \n", + " Returns:\n", + " str: Извлеченный код или пустая строка, если код не найден\n", + " \"\"\"\n", + " # Сначала попробуем найти JSON объект с PANDA\n", + " json_pattern = r'\\{[^{}]*(?:CORRECT PANDA|PANDA)\":\\s*(.+?)(?:\\n|$)?\\}'\n", + " json_match = re.search(json_pattern, input_string, re.DOTALL)\n", + " code = None\n", + " pattern = r'\"(?:CORRECT PANDA|PANDA)\":\\s*(.+?)(?:\\n|$)'\n", + " if json_match:\n", + " code = json_match.group(1).strip()\n", + " else:\n", + " match = re.search(pattern, input_string, re.DOTALL)\n", + " if match:\n", + " # Извлекаем код и убираем лишние пробелы по краям\n", + " code = match.group(1).strip()\n", + " # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON\n", + "\n", + " # Если JSON не найден или не распарсился, используем старый метод\n", + " # Паттерн для поиска кода после \"PANDA\": \n", + " # Ищет \"PANDA\": за которым следует пробел, затем код до конца строки или до следующего символа\n", + " if code != None:\n", + " # Убираем возможные кавычки вокруг кода\n", + " if code.startswith('\"') and code.endswith('\"'):\n", + " code = code[1:-1]\n", + " elif code.startswith(\"'\") and code.endswith(\"'\"):\n", + " code = code[1:-1]\n", + " \n", + " return code\n", + " \n", + " return \"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 222, + "id": "2777a02e-f555-4620-8852-e8afccc6b03e", + "metadata": {}, + "outputs": [], + "source": [ + "def add_pandas(ex):\n", + " \n", + " ex['pandas_code'] = parse_panda_code(ex['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ'])\n", + " return ex" + ] + }, + { + "cell_type": "code", + "execution_count": 223, + "id": "0c4d4d72-b216-4766-9d7b-d2a22e4e8964", + "metadata": {}, + "outputs": [], + "source": [ + "fail = fail.map(add_pandas,num_proc=16)" + ] + }, + { + "cell_type": "code", + "execution_count": 189, + "id": "a5ba50d8-4935-4eeb-baa2-3dd724df3c6e", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50', 'semtab_html_datatype_exampples3_description_top1_tresh50', 'semtab_html_exampples3_description_top1_tresh50', 'semtab_html_description_top1_tresh50', 'semtab_html_top1_tresh50', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_semantic_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ', 'semtab_html_datatype_exampples3_description_top1_tresh50_label', 'semtab_html_datatype_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_exampples3_description_top1_tresh50_answ', 'semtab_html_exampples3_description_top1_tresh50_label', 'semtab_html_exampples3_description_top1_tresh50_answ_correct', 'semtab_html_description_top1_tresh50_answ', 'semtab_html_description_top1_tresh50_label', 'semtab_html_description_top1_tresh50_answ_correct', 'semtab_html_top1_tresh50_answ', 'semtab_html_top1_tresh50_label', 'semtab_html_top1_tresh50_answ_correct'],\n", - " num_rows: 12779\n", - "})" - ] - }, - "execution_count": 392, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\"PANDA\": df[df['company'] == 'mas catering (sarawak) sdn bhd'][\"group 's equity shareholding\"].iloc[0] == '100%'\n", + "\n" + ] } ], "source": [ - "data" + "print(fail['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ'][501])" ] }, { "cell_type": "code", - "execution_count": 394, - "id": "4de2d1af-de13-45d4-ac5c-28bdedd47d95", + "execution_count": 225, + "id": "f6bf7643-a5fb-4c50-850d-661ea99f11e6", "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "tournament#wins#top - 5#top - 10#top - 25#events#cuts made\n", - "masters tournament#0#1#2#4#4#4\n", - "us open#0#2#3#4#6#5\n", - "the open championship#1#2#2#2#3#3\n", - "pga championship#0#0#1#2#5#4\n", - "totals#1#5#8#12#18#16\n", - "\n" + "Saving the dataset (1/1 shards): 100%|██████████| 2921/2921 [00:00<00:00, 64203.80 examples/s]\n" ] } ], "source": [ - "print(data[0]['table_text'])" + "fail.save_to_disk('repanda_tabfact_errors')" ] }, { "cell_type": "code", - "execution_count": 395, - "id": "62deb973-0d03-4d73-9eed-478317713a21", + "execution_count": 188, + "id": "614ef558-79c1-4391-b63a-282ddb560e05", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "malaysia airlines\n", + "of all the subsidiary of malaysia airline malaysia airline have the lowest equity shareholding in ma catering (sarawak) sdn bhd\n", + "1\n" + ] + } + ], "source": [ - "data2 = dataset.to_pandas()" + "print(fail['table_caption'][501])\n", + "print(fail['statement'][501])\n", + "print(fail['label'][501])" ] }, { "cell_type": "code", - "execution_count": 396, - "id": "7b5a313b-ccde-40f3-8e8f-fbf89aad1175", + "execution_count": 184, + "id": "5870a490-8c97-48f9-831e-2d6f5a05944e", "metadata": {}, "outputs": [ { @@ -18665,537 +28520,823 @@ " \n", " \n", " \n", - " id\n", - " statement\n", - " label\n", - " table_caption\n", - " table_text\n", - " pandas_code\n", - " pandas_eval\n", - " nlsep_query\n", - " semtab_query\n", + " company\n", + " type\n", + " principal activities\n", + " incorporated in\n", + " group 's equity shareholding\n", " \n", " \n", " \n", " \n", " 0\n", - " 0\n", - " haroldo be mention as a brazil scorer for 2 di...\n", - " 1\n", - " 1919 in brazilian football\n", - " date#result#score#brazil scorers#competition\\n...\n", - " df['brazil scorers'].apply(lambda x: 'haroldo'...\n", - " True\n", - " haroldo be mention as a brazil scorer for 2 di...\n", - " haroldo be mention as a brazil scorer for 2 di...\n", + " malaysia airlines cargo sdn bhd\n", + " subsidiary\n", + " cargo\n", + " malaysia\n", + " 100%\n", " \n", " \n", " 1\n", - " 1\n", - " 4 of the 5 game be for the south american cham...\n", - " 1\n", - " 1919 in brazilian football\n", - " date#result#score#brazil scorers#competition\\n...\n", - " (df['competition'].value_counts()['south ameri...\n", - " True\n", - " 4 of the 5 game be for the south american cham...\n", - " 4 of the 5 game be for the south american cham...\n", + " ge engine services malaysia\n", + " joint venture\n", + " engine overhaul\n", + " malaysia\n", + " 30%\n", " \n", " \n", " 2\n", - " 2\n", - " friedenreich be mention as a brazil scorer for...\n", - " 1\n", - " 1919 in brazilian football\n", - " date#result#score#brazil scorers#competition\\n...\n", - " df['brazil scorers'].str.contains('friedenreic...\n", - " True\n", - " friedenreich be mention as a brazil scorer for...\n", - " friedenreich be mention as a brazil scorer for...\n", + " maswings sdn bhd\n", + " subsidiary\n", + " airline\n", + " malaysia\n", + " 100%\n", " \n", " \n", " 3\n", - " 3\n", - " there be 2 different game where the highest sc...\n", - " 1\n", - " 1919 in brazilian football\n", - " date#result#score#brazil scorers#competition\\n...\n", - " len(df[df['score'].str.extract(r'^(\\d+) - \\d+$...\n", - " True\n", - " there be 2 different game where the highest sc...\n", - " there be 2 different game where the highest sc...\n", - " \n", - " \n", - " 4\n", - " 4\n", - " 4 of the 5 game be play in may 1919\n", - " 1\n", - " 1919 in brazilian football\n", - " date#result#score#brazil scorers#competition\\n...\n", - " (df['date'].str.contains('may') & df['date'].s...\n", - " True\n", - " 4 of the 5 game be play in may 1919 col : dat...\n", - " 4 of the 5 game be play in may 1919 <TABLE><DE...\n", - " \n", - " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " \n", - " \n", - " 88111\n", - " 92278\n", - " jerraud power , 192 pound (87 kg) , be choose ...\n", - " 1\n", - " 2009 indianapolis colts season\n", - " round#choice#player#position#height#weight#col...\n", - " df[(df['player'] == 'jerraud powers') & (df['w...\n", - " True\n", - " jerraud power , 192 pound (87 kg) , be choose ...\n", - " jerraud power , 192 pound (87 kg) , be choose ...\n", - " \n", - " \n", - " 88112\n", - " 92279\n", - " terrence taylor play for auburn\n", - " 0\n", - " 2009 indianapolis colts season\n", - " round#choice#player#position#height#weight#col...\n", - " df[df['player'] == 'terrance taylor']['college...\n", - " False\n", - " terrence taylor play for auburn col : round |...\n", - " terrence taylor play for auburn <TABLE><DESCRI...\n", - " \n", - " \n", - " 88113\n", - " 92280\n", - " curtis painter 's position be quarterback and ...\n", - " 0\n", - " 2009 indianapolis colts season\n", - " round#choice#player#position#height#weight#col...\n", - " (df[df['player'] == 'curtis painter']['positio...\n", - " False\n", - " curtis painter 's position be quarterback and ...\n", - " curtis painter 's position be quarterback and ...\n", - " \n", - " \n", - " 88114\n", - " 92281\n", - " the player who weigh the most play in round 3\n", - " 0\n", - " 2009 indianapolis colts season\n", - " round#choice#player#position#height#weight#col...\n", - " (df.loc[df['weight'].str.extract('(\\\\d+)').ast...\n", - " False\n", - " the player who weigh the most play in round 3 ...\n", - " the player who weigh the most play in round 3 ...\n", + " firefly sdn bhd\n", + " subsidiary\n", + " airline\n", + " malaysia\n", + " 100%\n", " \n", " \n", - " 88115\n", - " 92282\n", - " for 2007 / 08 , metal - volume (thousand tons)...\n", - " 1\n", - " iran mercantile exchange\n", - " ime exchange (including spot , credit and forw...\n", - " df.loc[df['ime exchange (including spot , cred...\n", - " True\n", - " for 2007 / 08 , metal - volume (thousand tons)...\n", - " for 2007 / 08 , metal - volume (thousand tons)...\n", - " \n", - " \n", - "\n", - "

          88116 rows × 9 columns

          \n", - "" - ], - "text/plain": [ - " id statement label \\\n", - "0 0 haroldo be mention as a brazil scorer for 2 di... 1 \n", - "1 1 4 of the 5 game be for the south american cham... 1 \n", - "2 2 friedenreich be mention as a brazil scorer for... 1 \n", - "3 3 there be 2 different game where the highest sc... 1 \n", - "4 4 4 of the 5 game be play in may 1919 1 \n", - "... ... ... ... \n", - "88111 92278 jerraud power , 192 pound (87 kg) , be choose ... 1 \n", - "88112 92279 terrence taylor play for auburn 0 \n", - "88113 92280 curtis painter 's position be quarterback and ... 0 \n", - "88114 92281 the player who weigh the most play in round 3 0 \n", - "88115 92282 for 2007 / 08 , metal - volume (thousand tons)... 1 \n", - "\n", - " table_caption \\\n", - "0 1919 in brazilian football \n", - "1 1919 in brazilian football \n", - "2 1919 in brazilian football \n", - "3 1919 in brazilian football \n", - "4 1919 in brazilian football \n", - "... ... \n", - "88111 2009 indianapolis colts season \n", - "88112 2009 indianapolis colts season \n", - "88113 2009 indianapolis colts season \n", - "88114 2009 indianapolis colts season \n", - "88115 iran mercantile exchange \n", - "\n", - " table_text \\\n", - "0 date#result#score#brazil scorers#competition\\n... \n", - "1 date#result#score#brazil scorers#competition\\n... \n", - "2 date#result#score#brazil scorers#competition\\n... \n", - "3 date#result#score#brazil scorers#competition\\n... \n", - "4 date#result#score#brazil scorers#competition\\n... \n", - "... ... \n", - "88111 round#choice#player#position#height#weight#col... \n", - "88112 round#choice#player#position#height#weight#col... \n", - "88113 round#choice#player#position#height#weight#col... \n", - "88114 round#choice#player#position#height#weight#col... \n", - "88115 ime exchange (including spot , credit and forw... \n", - "\n", - " pandas_code pandas_eval \\\n", - "0 df['brazil scorers'].apply(lambda x: 'haroldo'... True \n", - "1 (df['competition'].value_counts()['south ameri... True \n", - "2 df['brazil scorers'].str.contains('friedenreic... True \n", - "3 len(df[df['score'].str.extract(r'^(\\d+) - \\d+$... True \n", - "4 (df['date'].str.contains('may') & df['date'].s... True \n", - "... ... ... \n", - "88111 df[(df['player'] == 'jerraud powers') & (df['w... True \n", - "88112 df[df['player'] == 'terrance taylor']['college... False \n", - "88113 (df[df['player'] == 'curtis painter']['positio... False \n", - "88114 (df.loc[df['weight'].str.extract('(\\\\d+)').ast... False \n", - "88115 df.loc[df['ime exchange (including spot , cred... True \n", - "\n", - " nlsep_query \\\n", - "0 haroldo be mention as a brazil scorer for 2 di... \n", - "1 4 of the 5 game be for the south american cham... \n", - "2 friedenreich be mention as a brazil scorer for... \n", - "3 there be 2 different game where the highest sc... \n", - "4 4 of the 5 game be play in may 1919 col : dat... \n", - "... ... \n", - "88111 jerraud power , 192 pound (87 kg) , be choose ... \n", - "88112 terrence taylor play for auburn col : round |... \n", - "88113 curtis painter 's position be quarterback and ... \n", - "88114 the player who weigh the most play in round 3 ... \n", - "88115 for 2007 / 08 , metal - volume (thousand tons)... \n", - "\n", - " semtab_query \n", - "0 haroldo be mention as a brazil scorer for 2 di... \n", - "1 4 of the 5 game be for the south american cham... \n", - "2 friedenreich be mention as a brazil scorer for... \n", - "3 there be 2 different game where the highest sc... \n", - "4 4 of the 5 game be play in may 1919 4\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          mas aerotechnologies sdn bhdsubsidiarymromalaysia100%
          5mas golden holidays sdn bhdsubsidiarytour operatormalaysia100%
          6malaysian aerospace engineering sdn bhdsubsidiaryengineeringmalaysia100%
          7mas academy sdn bhdsubsidiaryflight schoolmalaysia100%
          8abacus distribution systems (malaysia) sdn bhdsubsidiarycomputer reservation systemmalaysia80%
          9taj madras air catering limitedassociatecateringindia20%
          10mas catering (sarawak) sdn bhdsubsidiarycateringmalaysia60%
          11lsg sky chefsassociateholding companymalaysia30%
          \n", + "" + ], + "text/plain": [ + " company type \\\n", + "0 malaysia airlines cargo sdn bhd subsidiary \n", + "1 ge engine services malaysia joint venture \n", + "2 maswings sdn bhd subsidiary \n", + "3 firefly sdn bhd subsidiary \n", + "4 mas aerotechnologies sdn bhd subsidiary \n", + "5 mas golden holidays sdn bhd subsidiary \n", + "6 malaysian aerospace engineering sdn bhd subsidiary \n", + "7 mas academy sdn bhd subsidiary \n", + "8 abacus distribution systems (malaysia) sdn bhd subsidiary \n", + "9 taj madras air catering limited associate \n", + "10 mas catering (sarawak) sdn bhd subsidiary \n", + "11 lsg sky chefs associate \n", "\n", - "[88116 rows x 9 columns]" + " principal activities incorporated in group 's equity shareholding \n", + "0 cargo malaysia 100% \n", + "1 engine overhaul malaysia 30% \n", + "2 airline malaysia 100% \n", + "3 airline malaysia 100% \n", + "4 mro malaysia 100% \n", + "5 tour operator malaysia 100% \n", + "6 engineering malaysia 100% \n", + "7 flight school malaysia 100% \n", + "8 computer reservation system malaysia 80% \n", + "9 catering india 20% \n", + "10 catering malaysia 60% \n", + "11 holding company malaysia 30% " ] }, - "execution_count": 396, + "execution_count": 184, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data2\n" + "df = pd.read_csv(StringIO(fail['table_text'][500]), delimiter='#')\n", + "df" ] }, { "cell_type": "code", - "execution_count": 397, - "id": "2c08a261-ef89-4d29-ab3e-473eab01583d", + "execution_count": 164, + "id": "a87dadd7-d108-47a0-8b50-6dccbe1c6fca", "metadata": {}, "outputs": [ { - "ename": "KeyError", - "evalue": "'table_csv'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/indexes/base.py:3812\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3811\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3812\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3813\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", - "File \u001b[0;32mpandas/_libs/index.pyx:167\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32mpandas/_libs/index.pyx:196\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7088\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7096\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: 'table_csv'", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[397], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdata2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtable_csv\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\n", - "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/frame.py:4113\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 4112\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_multilevel(key)\n\u001b[0;32m-> 4113\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4114\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[1;32m 4115\u001b[0m indexer \u001b[38;5;241m=\u001b[39m [indexer]\n", - "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/pandas/core/indexes/base.py:3819\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3814\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m 3815\u001b[0m \u001b[38;5;28misinstance\u001b[39m(casted_key, abc\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m 3816\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[1;32m 3817\u001b[0m ):\n\u001b[1;32m 3818\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3819\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 3820\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m 3821\u001b[0m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m 3822\u001b[0m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m 3823\u001b[0m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n\u001b[1;32m 3824\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n", - "\u001b[0;31mKeyError\u001b[0m: 'table_csv'" - ] + "data": { + "text/plain": [ + "np.True_" + ] + }, + "execution_count": 164, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "data2['table_csv']\n" + "df[df['tournament'] == 'pga championship']['wins'].values[0] == 0" ] }, { "cell_type": "code", - "execution_count": 401, - "id": "bfda358a-e682-4ddb-84c4-008cc76fc6ee", + "execution_count": 179, + "id": "6314c2b0-9e91-4324-8d4f-a616af6fe67c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Column(['2-1570274-4.html.csv', '2-1570274-4.html.csv', '2-1570274-4.html.csv', '2-1570274-4.html.csv', '2-1570274-4.html.csv'])" + "0" ] }, - "execution_count": 401, + "execution_count": 179, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data['table_csv']" + "paul emerick do not have the greatest number of tries out of the 9 total player" ] }, { "cell_type": "code", - "execution_count": 403, - "id": "6e332d38-3ed8-43ce-9b9b-c5f6a01a5164", + "execution_count": 167, + "id": "ac823823-df98-4273-a22f-afcbef9ab836", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.True_" + ] + }, + "execution_count": 167, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[df['tournament'] == 'us open']['top - 10'].values[0] > 0 and df[df['tournament'] == 'us open']['cuts made'].values[0] > 0" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "id": "97b7d559-d4a4-47df-ab2f-ccc446051ea3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 169, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fail['label'][1]" + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "id": "21af7a14-3063-426d-894e-7456d5c544c9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.False_" + ] + }, + "execution_count": 175, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.loc[df['player'] == 'paul emerick', 'tries'].values[0] == df['tries'].max()" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "id": "5c3ee54e-87e5-40c7-8f65-96d7133d7657", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 177, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fail['label'][2]" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "id": "a29fd397-5701-476b-a14e-cd58f8ad9a92", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 186, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[df['company'].isin(['taj madras air catering limited', 'mas cater (sarawak) sdn bhd'])].shape[0] == 2" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "129bb0a3-b516-4dbf-89d1-5ba9e5a477bc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          companytypeprincipal activitiesincorporated ingroup 's equity shareholding
          9taj madras air catering limitedassociatecateringindia20%
          \n", + "
          " + ], + "text/plain": [ + " company type principal activities \\\n", + "9 taj madras air catering limited associate catering \n", + "\n", + " incorporated in group 's equity shareholding \n", + "9 india 20% " + ] + }, + "execution_count": 187, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[df['company'].isin(['taj madras air catering limited', 'mas cater (sarawak) sdn bhd'])]" + ] + }, + { + "cell_type": "code", + "execution_count": 207, + "id": "4bd70532-aa6b-454b-842a-2aa9e4ec3df7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Series([], Name: principal activities, dtype: object)" + ] + }, + "execution_count": 207, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[df['company']=='firefly sdn bhd']['principal activities'].to_list()[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "id": "a32ca775-597d-442b-bc67-210ae2b1aae0", "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          companytypeprincipal activitiesincorporated ingroup 's equity shareholding
          0malaysia airlines cargo sdn bhdsubsidiarycargomalaysia100%
          1ge engine services malaysiajoint ventureengine overhaulmalaysia30%
          2maswings sdn bhdsubsidiaryairlinemalaysia100%
          3firefly sdn bhdsubsidiaryairlinemalaysia100%
          4mas aerotechnologies sdn bhdsubsidiarymromalaysia100%
          5mas golden holidays sdn bhdsubsidiarytour operatormalaysia100%
          6malaysian aerospace engineering sdn bhdsubsidiaryengineeringmalaysia100%
          7mas academy sdn bhdsubsidiaryflight schoolmalaysia100%
          8abacus distribution systems (malaysia) sdn bhdsubsidiarycomputer reservation systemmalaysia80%
          9taj madras air catering limitedassociatecateringindia20%
          10mas catering (sarawak) sdn bhdsubsidiarycateringmalaysia60%
          11lsg sky chefsassociateholding companymalaysia30%
          \n", + "
          " + ], "text/plain": [ - "Column(['tony lema be in the top 5 for the master tournament , the us open , and the open championship', 'tournament that tony lema have participate in include the master tournament , the us open , the pga championship and the open championship', 'the only tournament that tony lema win in be the open championship', 'tony lema do not win in the us open', 'tony lema make it to the top 10 in the pga championship , but do not continue on'])" + " company type \\\n", + "0 malaysia airlines cargo sdn bhd subsidiary \n", + "1 ge engine services malaysia joint venture \n", + "2 maswings sdn bhd subsidiary \n", + "3 firefly sdn bhd subsidiary \n", + "4 mas aerotechnologies sdn bhd subsidiary \n", + "5 mas golden holidays sdn bhd subsidiary \n", + "6 malaysian aerospace engineering sdn bhd subsidiary \n", + "7 mas academy sdn bhd subsidiary \n", + "8 abacus distribution systems (malaysia) sdn bhd subsidiary \n", + "9 taj madras air catering limited associate \n", + "10 mas catering (sarawak) sdn bhd subsidiary \n", + "11 lsg sky chefs associate \n", + "\n", + " principal activities incorporated in group 's equity shareholding \n", + "0 cargo malaysia 100% \n", + "1 engine overhaul malaysia 30% \n", + "2 airline malaysia 100% \n", + "3 airline malaysia 100% \n", + "4 mro malaysia 100% \n", + "5 tour operator malaysia 100% \n", + "6 engineering malaysia 100% \n", + "7 flight school malaysia 100% \n", + "8 computer reservation system malaysia 80% \n", + "9 catering india 20% \n", + "10 catering malaysia 60% \n", + "11 holding company malaysia 30% " ] }, - "execution_count": 403, + "execution_count": 198, "metadata": {}, "output_type": "execute_result" } ], - "source": [ - "data['statement']" - ] + "source": [] }, { "cell_type": "code", - "execution_count": 34, - "id": "f8963581-9edb-4690-b328-bdbf9b2c9671", + "execution_count": null, + "id": "5a8b36ee-0e6b-424c-ae18-b84899357f43", "metadata": {}, "outputs": [], "source": [ - "from datasets import load_from_disk,Dataset" + "\n" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "1f64a9fe-e6fa-47fb-baf5-ef8249c7e2b5", + "execution_count": 311, + "id": "c5f38c7f-8ebd-4897-a66d-9d9d2e454984", "metadata": {}, "outputs": [], "source": [ - "data = load_from_disk('tab_fact_test_semtab_xml_ablation_new')" + "# nlsep на репанда промпте на лора репанда\n", + "data = load_from_disk(\"tab_fact_test_nlsep_repanda\")" ] }, { "cell_type": "code", - "execution_count": null, - "id": "75457eb2-42f0-4d65-9edb-9bfe80d778da", + "execution_count": 313, + "id": "49311dcf-f36d-4874-ba32-d5cd5031e72b", "metadata": {}, "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 410, - "id": "b09efe47-2391-423d-b29d-da4039f057fa", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "1695" - ] - }, - "execution_count": 410, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "arr = [ i for i in data['table_csv']]\n", - "len(set(arr))" + "config = load_config('semtab_xml_config_answer_local_model.yaml')\n", + "tests = list(config.keys())\n", + "tests = ['nlsep']" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "e74a1bf1-aa10-48ff-ab8a-de42c48e0e3f", + "execution_count": 314, + "id": "72f5bc0f-53f3-4040-a9e5-b22cd4f5de34", "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "nlsep\n", + "Процент корректируемых ответов 2.598012364034745\n" + ] + }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 28516.71 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 332/332 [00:00<00:00, 419.55 examples/s]" ] }, { - "data": { - "text/plain": [ - "Dataset({\n", - " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50', 'semtab_xml_attributes_top1_tresh50_answ', 'semtab_xml_attributes_top1_tresh50_label', 'semtab_xml_attributes_top1_tresh50_answ_correct', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_exampples_description_top1_tresh50_label', 'semtab_xml_elements_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_description_top1_tresh50_answ', 'semtab_xml_elements_description_top1_tresh50_label', 'semtab_xml_elements_description_top1_tresh50_answ_correct', 'semtab_xml_elements_top1_tresh50_answ', 'semtab_xml_elements_top1_tresh50_label', 'semtab_xml_elements_top1_tresh50_answ_correct'],\n", - " num_rows: 12779\n", - "})" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data.filter(lambda x: x['semtab_xml_elements_top1_tresh50'] != 'None',num_proc=17)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "bd0c3705-8d93-4976-a3b8-c3f99ef53e81", - "metadata": {}, - "outputs": [ + "name": "stdout", + "output_type": "stream", + "text": [ + "успешно скорректированные отноосительно корректируемых 60.24096385542169\n", + "выполнимость 91.97902809296502\n", + "коректность вывыполняемых 66.91339118597924\n", + "61.54628687690743\n", + "different 0.0\n" + ] + }, { - "data": { - "text/plain": [ - "'
          res
          record
          opponent
          method
          event
          round
          time
          location
          '" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] } ], "source": [ - "data[3434]['semtab_xml_elements_top1_tresh50']" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "6e16a6cf-2323-4887-bf87-c807fa33c443", - "metadata": {}, - "outputs": [], - "source": [ - "data1 = load_from_disk(\"tab_fact_test_semtab_xml_ablation_new\")\n", - "data_continue = load_from_disk(\"tab_fact_test_semtab_xml_ablation_new_continue\")" + "acc_old = None\n", + "for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " print('Процент корректируемых ответов',process_data.shape[0]/data.shape[0]*100)\n", + " cor = process_data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('успешно скорректированные отноосительно корректируемых ',cor.shape[0]/process_data.shape[0]*100)\n", + " print('выполнимость',dd.shape[0]/data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('коректность вывыполняемых ',true.shape[0]/dd.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " print(acc)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" ] }, { "cell_type": "code", - "execution_count": 18, - "id": "282041da-8bd6-4b2c-a1e4-977cc86cbc43", + "execution_count": null, + "id": "05ac4556-4339-4c8a-b686-751342e7a0cb", "metadata": {}, "outputs": [], - "source": [ - "from utils.utils import load_config\n" - ] + "source": [] }, { "cell_type": "code", - "execution_count": 38, - "id": "5a710b5d-df4a-44d1-83b6-e5c308812b0a", + "execution_count": 241, + "id": "fded5d65-acc5-452a-be2a-43846b3bcbc2", "metadata": {}, "outputs": [], "source": [ - "config = load_config('semtab_xml_config_answer2.yaml')\n", - "conf_continue = load_config('semtab_xml_config_answer2_continue.yaml')" + "# semtab на новом промпте на лора репанда\n", + "data = load_from_disk(\"tab_fact_test_semtab_xml_repanda_new_prompt\")" ] }, { "cell_type": "code", - "execution_count": 20, - "id": "31dff60e-5038-4d16-a1c2-c87462861726", + "execution_count": 298, + "id": "602fa2e3-8c5e-4153-906d-975bb7001895", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "['semtab_xml_attributes_top1_tresh50',\n", - " 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50',\n", - " 'semtab_xml_elements_datatype_exampples_description_top1_tresh50',\n", - " 'semtab_xml_elements_exampples_description_top1_tresh50',\n", - " 'semtab_xml_elements_description_top1_tresh50',\n", - " 'semtab_xml_elements_top1_tresh50']" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 16683.90 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 17078.77 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Процент корректируемых ответов 0.8373112137099928\n", + "выполнимость 95.38305031692622\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12189/12189 [00:00<00:00, 15142.43 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "коректность вывыполняемых 84.02658134383461\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 16124.81 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 15724.00 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12672/12672 [00:00<00:00, 15603.24 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Общая точность 80.14711636278268\n", + "точность без учета коррекции 79.58369199467877\n", + "different 0.0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] } ], "source": [ - "tests_continue = list(conf_continue.keys())\n", - "tests_continue" + "get_accuracy('tab_fact_test_semtab_xml_repanda_new_prompt','semtab_xml_config_answer_local_model.yaml')" ] }, { "cell_type": "code", - "execution_count": 39, - "id": "62e5e664-e6ba-4adb-b9e7-8c3f62ea9ed6", + "execution_count": 237, + "id": "9114e780-996c-4438-abda-683884ccc133", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50',\n", - " 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50',\n", - " 'semtab_xml_attributes_exampples_description_top1_tresh50',\n", - " 'semtab_xml_attributes_description_top1_tresh50',\n", - " 'semtab_xml_attributes_top1_tresh50',\n", - " 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50',\n", - " 'semtab_xml_elements_datatype_exampples_description_top1_tresh50',\n", - " 'semtab_xml_elements_exampples_description_top1_tresh50',\n", - " 'semtab_xml_elements_description_top1_tresh50',\n", - " 'semtab_xml_elements_top1_tresh50']" + "['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50']" ] }, - "execution_count": 39, + "execution_count": 237, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "config = load_config('semtab_xml_config_answer_local_model.yaml')\n", "tests = list(config.keys())\n", "tests" ] }, { "cell_type": "code", - "execution_count": 31, - "id": "b42b383d-89f8-47e0-8629-048615b6d3b7", + "execution_count": 238, + "id": "5000b037-a7eb-4ae4-878a-d6ad513c3c90", "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 16677.02 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 16781.58 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Процент корректируемых ответов 0.8373112137099928\n", + "выполнимость 95.38305031692622\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter (num_proc=17): 100%|██████████| 12189/12189 [00:00<00:00, 15716.78 examples/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "коректность вывыполняемых 84.02658134383461\n" + ] + }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 6/6 [00:00<00:00, 141.79it/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 16804.89 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "semtab_xml_attributes_top1_tresh50\n", - "semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50\n", - "semtab_xml_elements_datatype_exampples_description_top1_tresh50\n", - "semtab_xml_elements_exampples_description_top1_tresh50\n", - "semtab_xml_elements_description_top1_tresh50\n", - "semtab_xml_elements_top1_tresh50\n" + "80.14711636278268\n", + "different 0.0\n" ] }, { @@ -19207,255 +29348,347 @@ } ], "source": [ - "from tqdm import tqdm\n", - "# 'semtab_xml_elements_top1_tresh50_answ', 'semtab_xml_elements_top1_tresh50_label', 'semtab_xml_elements_top1_tresh50_answ_correct'\n", - "ddata1 = data1.to_dict()\n", - "for expr in tqdm(tests_continue):\n", - " print(expr)\n", - " ddata1[f'{expr}_answ'] = data_continue[f'{expr}_answ']\n", - " ddata1[f'{expr}_label'] = data_continue[f'{expr}_label']\n", - " ddata1[f'{expr}_answ_correct'] = data_continue[f'{expr}_answ_correct']\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "f6f22517-27ea-49a9-b621-3f424cbc134a", - "metadata": {}, - "outputs": [], - "source": [ - "data1 = Dataset.from_dict(ddata1)" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "2927e408-3464-4db1-950e-e1857adfcdd8", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Saving the dataset (1/1 shards): 100%|██████████| 12779/12779 [00:00<00:00, 39481.09 examples/s]\n" - ] - } - ], - "source": [ - "data1.save_to_disk('tab_fact_test_semtab_xml_ablation_new')" + "acc_old = None\n", + "for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " print('Процент корректируемых ответов',process_data.shape[0]/data.shape[0]*100)\n", + "\n", + " print('выполнимость',dd.shape[0]/data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('коректность вывыполняемых ',true.shape[0]/dd.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " print(acc)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" ] }, { "cell_type": "code", - "execution_count": 40, - "id": "bb0bff92-77c6-4e70-af17-363285628c8b", + "execution_count": 325, + "id": "ce351633-8906-4181-b20d-051e156f1f75", "metadata": {}, "outputs": [], "source": [ - "data = data1" + "def get_accuracy(data_path,conf_path,tests = None):\n", + " data = load_from_disk(data_path)\n", + " config = load_config(conf_path)\n", + " tests = list(config.keys()) if tests==None else tests\n", + " acc_old = None\n", + " for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " print('Процент корректируемых ответов',process_data.shape[0]/data.shape[0]*100)\n", + " cor = process_data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('успешно скорректированные отноосительно корректируемых ',cor.shape[0]/process_data.shape[0]*100)\n", + " print('выполнимость',dd.shape[0]/data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('коректность вывыполняемых ',true.shape[0]/dd.shape[0]*100)\n", + " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " without_corr = data.filter(lambda x : x[f'{test}_answ_correct'] == 'None',num_proc=17)\n", + " full_wo_corr = without_corr.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('Общая точность',acc)\n", + " print('точность без учета коррекции',full_wo_corr.shape[0]/data.shape[0]*100)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" ] }, { "cell_type": "code", - "execution_count": 41, - "id": "cc621610-53b6-45f2-8d17-48f98e7228e8", + "execution_count": 326, + "id": "79dc96e7-8425-466e-935c-d5df04b11105", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n" + "nlsep\n", + "Процент корректируемых ответов 2.3084748415368965\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 790.00 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2531/2531 [00:16<00:00, 152.42 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2531/2531 [00:16<00:00, 152.10 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 768.34 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 295/295 [00:00<00:00, 361.37 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "54.1982940762188\n", - "different 0.0\n", - "semtab_xml_attributes_datatype_exampples_description_top1_tresh50\n" + "успешно скорректированные отноосительно корректируемых 65.76271186440678\n", + "выполнимость 90.67219657250176\n", + "коректность вывыполняемых 79.70138948821955\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 764.43 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2398/2398 [00:16<00:00, 143.54 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2398/2398 [00:16<00:00, 141.34 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 765.33 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 16685.23 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12484/12484 [00:00<00:00, 16093.89 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "55.176461381954766\n", - "different 0.9781673057359654\n", - "semtab_xml_attributes_exampples_description_top1_tresh50\n" + "Общая точность 72.26700054777369\n", + "точность без учета коррекции 70.74888488927145\n", + "different 0.0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 761.22 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2294/2294 [00:16<00:00, 136.85 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2294/2294 [00:17<00:00, 134.80 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 721.67 examples/s]\n" + "\n" ] - }, + } + ], + "source": [ + "# nlsep для нового промпта с обученным лора репанда\n", + "get_accuracy('tab_fact_test_nlsep_repanda_new_prompt','semtab_xml_config_answer_local_model.yaml',tests=['nlsep'])" + ] + }, + { + "cell_type": "code", + "execution_count": 327, + "id": "31b57081-7b3a-4913-b685-a8a9d40dba2d", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "54.605211675404966\n", - "different -0.5712497065497999\n", - "semtab_xml_attributes_description_top1_tresh50\n" + "nlsep\n", + "Процент корректируемых ответов 11.049377885593552\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 743.33 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 3003/3003 [00:16<00:00, 176.87 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 3003/3003 [00:16<00:00, 177.09 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 762.00 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 1412/1412 [00:00<00:00, 1851.48 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "46.77987322951718\n", - "different -7.8253384458877875\n", - "semtab_xml_attributes_top1_tresh50\n" + "успешно скорректированные отноосительно корректируемых 52.903682719546744\n", + "выполнимость 72.5174113780421\n", + "коректность вывыполняемых 68.39322326535017\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 756.32 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 3171/3171 [00:16<00:00, 187.26 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 3171/3171 [00:17<00:00, 185.03 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 755.26 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 17269.13 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 11367/11367 [00:00<00:00, 13888.04 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "46.47468503012755\n", - "different -0.30518819938962594\n", - "semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50\n" + "Общая точность 49.59699507003678\n", + "точность без учета коррекции 43.751467250958605\n", + "different 0.0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 753.86 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2806/2806 [00:16<00:00, 165.42 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2806/2806 [00:17<00:00, 164.73 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 731.47 examples/s]\n" + "\n" ] - }, + } + ], + "source": [ + "#nlsep с новым промптом на репанда direct\n", + "get_accuracy('tab_fact_test_nlsep_repanda_new_prompt_direct','semtab_xml_config_answer_local_model.yaml',tests=['nlsep'])" + ] + }, + { + "cell_type": "code", + "execution_count": 308, + "id": "c66e3606-5552-4e31-abb5-c0ceae406d0a", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "52.60192503325769\n", - "different 6.12724000313014\n", - "semtab_xml_elements_datatype_exampples_description_top1_tresh50\n" + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n", + "Процент корректируемых ответов 3.6935597464590346\n", + "успешно скорректированные отноосительно корректируемых 54.66101694915254\n", + "выполнимость 96.31426559198685\n", + "коректность вывыполняемых 80.30549236269093\n", + "Общая точность 77.34564519915487\n", + "точность без учета коррекции 75.32670788011582\n", + "different 0.0\n" ] - }, + } + ], + "source": [ + "#semtab с новым промптом на репанда direct\n", + "get_accuracy('tab_fact_test_semtab_xml_repanda_new_prompt_direct','semtab_xml_config_answer_local_model.yaml')" + ] + }, + { + "cell_type": "code", + "execution_count": 309, + "id": "ea550cd4-2d42-4fd6-b3e1-18c5787a421b", + "metadata": {}, + "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 755.90 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2564/2564 [00:16<00:00, 151.82 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2564/2564 [00:17<00:00, 150.31 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 761.45 examples/s]\n" + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n", + "Процент корректируемых ответов 0.7590578292511151\n", + "успешно скорректированные отноосительно корректируемых 70.10309278350515\n", + "выполнимость 95.28914625557555\n", + "коректность вывыполняемых 83.953354685062\n", + "Общая точность 79.99843493231083\n", + "точность без учета коррекции 79.46631191799045\n", + "different 0.0\n" ] - }, + } + ], + "source": [ + "#semtab с новым промптом на репанда lora и новый промпт корекци\n", + "get_accuracy('tab_fact_test_semtab_xml_repanda_new_prompt2_direct/','semtab_xml_config_answer_local_model.yaml')" + ] + }, + { + "cell_type": "code", + "execution_count": 310, + "id": "9a451a56-3c50-408d-9294-37f93924eb3e", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "52.41411691055639\n", - "different -0.18780812270130554\n", - "semtab_xml_elements_exampples_description_top1_tresh50\n" + "semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n", + "Процент корректируемых ответов 0.7590578292511151\n", + "успешно скорректированные отноосительно корректируемых 70.10309278350515\n", + "выполнимость 95.28914625557555\n", + "коректность вывыполняемых 83.953354685062\n", + "Общая точность 79.99843493231083\n", + "точность без учета коррекции 79.46631191799045\n", + "different 0.0\n" ] - }, + } + ], + "source": [ + "get_accuracy('tab_fact_test_semtab_xml_repanda_new_prompt2_direct','semtab_xml_config_answer_local_model.yaml')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "31b33520-9d44-477b-801b-2e91e6a68d2e", + "metadata": {}, + "outputs": [], + "source": [ + "tab_fact_test_semtab_xml_repanda_new_prompt2_direct" + ] + }, + { + "cell_type": "code", + "execution_count": 267, + "id": "5e41779c-e84a-4818-b9f6-160ec1eb0918", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'id': 0,\n", + " 'table_csv': '2-1570274-4.html.csv',\n", + " 'table_text': 'tournament#wins#top - 5#top - 10#top - 25#events#cuts made\\nmasters tournament#0#1#2#4#4#4\\nus open#0#2#3#4#6#5\\nthe open championship#1#2#2#2#3#3\\npga championship#0#0#1#2#5#4\\ntotals#1#5#8#12#18#16\\n',\n", + " 'label': 1,\n", + " 'statement': 'tony lema be in the top 5 for the master tournament , the us open , and the open championship',\n", + " 'table_caption': 'tony lema',\n", + " 'nlsep_query': 'tony lema be in the top 5 for the master tournament , the us open , and the open championship col : tournament | wins | top - 5 | top - 10 | top - 25 | events | cuts made row 1 : masters tournament | 0 | 1 | 2 | 4 | 4 | 4 row 2 : us open | 0 | 2 | 3 | 4 | 6 | 5 row 3 : the open championship | 1 | 2 | 2 | 2 | 3 | 3 row 4 : pga championship | 0 | 0 | 1 | 2 | 5 | 4 row 5 : totals | 1 | 5 | 8 | 12 | 18 | 16',\n", + " 'semtab_query': 'tony lema be in the top 5 for the master tournament , the us open , and the open championship tony lema
          tournamentcategory - 1.0\"str\"0[\"totals\", \"us open\", \"the open championship\"]
          winsrank - 1.0\"int\"0[1, 0, 0]
          top - 5rank - 1.0\"int\"0[2, 5, 1]
          top - 10rank - 1.0\"int\"0[3, 2, 8]
          top - 25rank - 0.99\"int\"0[4, 2, 12]
          eventsduration - 0.73\"int\"0[5, 3, 4]
          cuts maderank - 0.99\"int\"0[4, 3, 16]
          ',\n", + " 'semtab_answ': '```\\n{\"PANDA\": \"(df[\\'tournament\\'].isin([\\'master tournament\\', \\'us open\\', \\'the open championship\\']) & (df[\\'wins\\'] > 0) & (df[\\'top - 5\\'] <= 5) & (df[\\'top - 10\\'] <= 10) & (df[\\'top - 25\\'] <= 25) & (df[\\'events\\'] > 0) & (df[\\'cuts made\\'] > 0)).any()\"}\\n```\\nThis expression checks if Tony LeMa is in the top 5 for the master tournament, the us open, and the open championship and has won some wins, is in top 5, 10, and 25, made some events and cuts. If any of these conditions is true for Tony LeMa, the expression will return True.\\n',\n", + " 'semtab_label': 'True'}" + ] + }, + "execution_count": 267, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = load_from_disk('./tab_fact_test_xml_semtab/')\n", + "data[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 265, + "id": "d795cca9-1322-4f3c-b8aa-d92023c5ab71", + "metadata": { + "scrolled": true + }, + "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 753.56 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2355/2355 [00:17<00:00, 138.19 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 2355/2355 [00:16<00:00, 139.22 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 746.98 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 16309.45 examples/s]\n", + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 15770.07 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "51.529853666171064\n", - "different -0.8842632443853233\n", - "semtab_xml_elements_description_top1_tresh50\n" + "выполнимость 69.316847953674\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 752.53 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 3338/3338 [00:17<00:00, 196.32 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 3338/3338 [00:16<00:00, 196.47 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:16<00:00, 754.09 examples/s]\n" + "Filter (num_proc=17): 100%|██████████| 8858/8858 [00:00<00:00, 10899.14 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "43.13326551373347\n", - "different -8.396588152437594\n", - "semtab_xml_elements_top1_tresh50\n" + "коректность вывыполняемых 58.624971776924816\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 750.45 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 3357/3357 [00:16<00:00, 197.83 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 3357/3357 [00:17<00:00, 196.06 examples/s]\n", - "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:17<00:00, 750.14 examples/s]" + "Filter (num_proc=17): 100%|██████████| 12779/12779 [00:00<00:00, 16535.25 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "43.61843649737851\n", - "different 0.4851709836450411\n" + "40.636982549495265\n", + "different -31.559589952265434\n" ] }, { @@ -19467,31 +29700,72 @@ } ], "source": [ - "acc_old = None\n", - "for test in tests:\n", - " print(test)\n", - " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", - " dd = process_data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", - " #print(dd.shape[0]/data.shape[0]*100)\n", - " #print(dd.shape[0]/process_data.shape[0]*100)\n", - " true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", - " #print(true.shape[0]/process_data.shape[0]*100)\n", - " full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", - " acc = full.shape[0]/data.shape[0]*100\n", - " print(acc)\n", - " if acc_old == None:\n", - " acc_old = acc\n", - " print('different',acc-acc_old)\n", - " acc_old = acc" + "data = load_from_disk('./tab_fact_test_xml_semtab/')\n", + "\n", + "test = 'semtab'\n", + "dd = data.filter(lambda x: True if x[f'{test}_answ']!='None' else False,num_proc=17)\n", + "dd = dd.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + "print('выполнимость',dd.shape[0]/data.shape[0]*100)\n", + "true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print('коректность вывыполняемых ',true.shape[0]/dd.shape[0]*100)\n", + "full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "acc = full.shape[0]/data.shape[0]*100\n", + "print(acc)\n", + "if acc_old == None:\n", + " acc_old = acc\n", + "print('different',acc-acc_old)\n", + "acc_old = acc" + ] + }, + { + "cell_type": "code", + "execution_count": 329, + "id": "2cb82fe8-34ba-4651-abfa-11bdf87e5687", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "выполнимость 66.68753423585571\n", + "коректность вывыполняемых 61.99249002581554\n", + "41.341263009625166\n", + "different -30.855309492135532\n" + ] + } + ], + "source": [ + "data = load_from_disk('./tab_fact_test_xml_nlsep/')\n", + "test = 'nlsep'\n", + "dd = data.filter(lambda x: True if x[f'{test}_answ']!='None' else False,num_proc=17)\n", + "dd = dd.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + "print('выполнимость',dd.shape[0]/data.shape[0]*100)\n", + "true = dd.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "print('коректность вывыполняемых ',true.shape[0]/dd.shape[0]*100)\n", + "full = data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + "acc = full.shape[0]/data.shape[0]*100\n", + "print(acc)\n", + "if acc_old == None:\n", + " acc_old = acc\n", + "print('different',acc-acc_old)\n", + "acc_old = acc" ] }, { "cell_type": "code", "execution_count": null, - "id": "fe25e190-2a42-49e3-a318-eee0b8b046f7", + "id": "e123c2c4-7394-4ea9-a81a-e412690fc4a4", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " print('Процент корректируемых ответов',process_data.shape[0]/data.shape[0]*100)\n", + " cor = process_data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('успешно скорректированные отноосительно корректируемых ',cor.shape[0]/process_data.shape[0]*100)\n", + "\n", + "\n" + ] } ], "metadata": { diff --git a/tests/panTabFact_zeroshot_deepseek_test-Copy1.py b/tests/panTabFact_zeroshot_deepseek_test-Copy1.py new file mode 100644 index 0000000..1506458 --- /dev/null +++ b/tests/panTabFact_zeroshot_deepseek_test-Copy1.py @@ -0,0 +1,137 @@ +from datasets import load_from_disk +from openai import OpenAI +import sys +import os +import json +import pandas as pd +from io import StringIO +from tqdm import tqdm +import time +from functools import partial +import re +import argparse + +# Добавляем корневую директорию проекта в sys.path +sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests'))) +query_field = 'semtab' #'nlsep' #'semtab' +NUM_PROC = 2 +system_prompt = '''You are a Python expert specializing in pandas. Your task is to translate the +given natural language statement into a single-line pandas expression. This +expression must be valid and executable to verify the truth of the statement +using the provided table. Consider the following: +1. The table is represented as a pandas DataFrame named df. +2. Do not include explanations, comments, or multiline outputs. +3. Ensure the output is concise, correct, and when run outputs either True or +False, and strictly in the following Json Format with a single key "PANDA": +"PANDA": "" +''' + +def send_message(message,max_tokens=1000,top_p=0.9,temperature=0.5,server_url="http://127.0.0.1:8800/v1",api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',system_prompt='', stop = ["Observation:","\n\n\n\n","\n \n \n"]): + client = OpenAI(base_url=server_url, api_key=api_key) + model_input = [ + { 'role': 'system', 'content': system_prompt}, + { 'role': 'user', 'content': message} + ] + try: + print(f"Generating content with model: {model_name}",) + + response = client.chat.completions.create( + model=model_name, + messages=model_input, + temperature=temperature, + max_tokens=max_tokens, + top_p=top_p, + stop = stop + ) + + return True, response.choices[0].message.content + + except Exception as e: + print("Failed to call LLM: " + str(e)) + time.sleep(3) + if hasattr(e, 'response'): + error_info = e.response.json() + code_value = error_info['error']['code'] + else: + code_value = "context_length_exceeded" + print("Retrying ...") + return False, None + +def parse_panda_code(input_string): + """ + Парсит строку и извлекает код, который находится внутри конструкции "PANDA": <код> + Поддерживает различные форматы: JSON, простой текст, Markdown + + Args: + input_string (str): Входная строка для парсинга + + Returns: + str: Извлеченный код или пустая строка, если код не найден + """ + # Сначала попробуем найти JSON объект с PANDA + json_pattern = r'\{[^{}]*PANDA":\s*(.+?)(?:\n|$)?\}' + json_match = re.search(json_pattern, input_string, re.DOTALL) + code = None + pattern = r'"PANDA":\s*(.+?)(?:\n|$)' + if json_match: + code = json_match.group(1).strip() + else: + match = re.search(pattern, input_string, re.DOTALL) + if match: + # Извлекаем код и убираем лишние пробелы по краям + code = match.group(1).strip() + # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON + + # Если JSON не найден или не распарсился, используем старый метод + # Паттерн для поиска кода после "PANDA": + # Ищет "PANDA": за которым следует пробел, затем код до конца строки или до следующего символа + if code != None: + # Убираем возможные кавычки вокруг кода + if code.startswith('"') and code.endswith('"'): + code = code[1:-1] + elif code.startswith("'") and code.endswith("'"): + code = code[1:-1] + + return code + + return "" +def dataset_processing(entry,query_field=None): + df = pd.read_csv(StringIO(entry['table_text']), delimiter='#') + success,response_sep = send_message(entry[f"{query_field}_query"], + system_prompt=system_prompt) + + entry[f'{query_field}_answ'] = 'None' + entry[f'{query_field}_label'] = 'None' + + if success: + entry[f'{query_field}_answ'] = response_sep + try: + pandas_eval = str(bool(eval(parse_panda_code(response_sep)))) + entry[f'{query_field}_label'] = str(pandas_eval) + except Exception as e: + print('EEEERRRRRRR', entry['id']) + print(e) + return entry +def main(): + parser = argparse.ArgumentParser(description='Скрипт с настраиваемыми параметрами') + parser.add_argument('--query-field', type=str, default='semtab', + choices=['semtab', 'nlsep','proto'], help='Тип query field') + parser.add_argument('--num-proc', type=int, default=2, + help='Количество процессов') + + args = parser.parse_args() + + query_field = args.query_field + NUM_PROC = args.num_proc + + print(f"query_field: {query_field}") + print(f"NUM_PROC: {NUM_PROC}") + + # Ваш основной код здесь + dataset = load_from_disk('none_filtered_new_dataset2/') + dataset2 = dataset.map(partial(dataset_processing,query_field=query_field),num_proc=NUM_PROC) + dataset2.save_to_disk(f'./answer_gen_{query_field}_none_filtered_new_dataset') + +if __name__ == "__main__": + main() diff --git a/tests/pan_tab_fact_format_tests.ipynb b/tests/pan_tab_fact_format_tests.ipynb index 141a071..ea44c53 100644 --- a/tests/pan_tab_fact_format_tests.ipynb +++ b/tests/pan_tab_fact_format_tests.ipynb @@ -61,336 +61,3423 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "id": "c6b57c9e-4bdc-42aa-b598-7d6b0c3cebfb", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], + "outputs": [], "source": [ - "from datasets import Dataset\n" + "from datasets import Dataset, load_from_disk\n" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "45d5ea74-d286-4336-9b2f-f3af6efdbab8", + "execution_count": 55, + "id": "4f512056-3a29-4fe1-b673-3fd2163e93de", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Dataset({\n", - " features: ['id', 'statement', 'label', 'table_caption', 'table_text', 'pandas_code', 'pandas_eval'],\n", - " num_rows: 88223\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50'],\n", + " num_rows: 12779\n", "})" ] }, - "execution_count": 2, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dataset = Dataset.from_json(\"../datasets/PanTabFact/PanTabFact.json\")\n", - "dataset" + "d = load_from_disk('tab_fact_test_semtab_xml_ablation')\n", + "d" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "3787edc0-bdef-48d1-9315-cdeb915d8311", + "execution_count": 56, + "id": "ad3d136e-9d49-4620-acab-c26c8f46539b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'id': 0,\n", - " 'statement': 'haroldo be mention as a brazil scorer for 2 different game',\n", - " 'label': 1,\n", - " 'table_caption': '1919 in brazilian football',\n", - " 'table_text': 'date#result#score#brazil scorers#competition\\nmay 11 , 1919#w#6 - 0#friedenreich (3) , neco (2) , haroldo#south american championship\\nmay 18 , 1919#w#3 - 1#heitor , amílcar , millon#south american championship\\nmay 26 , 1919#d#2 - 2#neco (2)#south american championship\\nmay 29 , 1919#w#1 - 0#friedenreich#south american championship\\njune 1 , 1919#d#3 - 3#haroldo , arlindo (2)#taça roberto cherry\\n',\n", - " 'pandas_code': \"df['brazil scorers'].apply(lambda x: 'haroldo' in x).sum() == 2\",\n", - " 'pandas_eval': 'True'}" + "'
          '" ] }, - "execution_count": 3, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dataset[0]" + "d[0]['semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50']" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "92944a5c-bb79-4de8-8c62-9c395f688bac", + "execution_count": 183, + "id": "b9131395-db92-49e7-886c-11c759043c34", "metadata": {}, - "outputs": [], - "source": [ - "import json\n", - "import pandas as pd\n", - "from io import StringIO\n", - "from tqdm import tqdm" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "75043b39-f372-4402-9128-b56caa8f263d", - "metadata": { - "scrolled": true - }, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - " 0%| | 0/88223 [00:00:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", - " 0%| | 80/88223 [00:00<01:51, 792.40it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " 0%| | 160/88223 [00:00<01:58, 745.82it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", - " 0%| | 309/88223 [00:00<02:01, 725.02it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " 1%| | 463/88223 [00:00<02:01, 722.39it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", - " 1%| | 537/88223 [00:00<02:00, 725.92it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", - ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", - " 1%| | 611/88223 [00:00<02:00, 729.31it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", - " 1%| | 925/88223 [00:01<01:54, 760.37it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " 1%|▏ | 1160/88223 [00:01<01:54, 758.65it/s]:1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", - ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", - " 2%|▏ | 1394/88223 [00:01<01:54, 760.10it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", - ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", - " 2%|▏ | 1471/88223 [00:01<01:54, 757.35it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", - ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", - " 2%|▏ | 1622/88223 [00:02<01:56, 745.63it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", - " 2%|▏ | 2033/88223 [00:02<01:49, 790.01it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", - " 2%|▏ | 2113/88223 [00:02<01:48, 791.44it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " 3%|▎ | 2272/88223 [00:02<01:49, 782.61it/s]:1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", - " 3%|▎ | 2343/88223 [00:03<01:53, 755.35it/s]\n", - "\n", - "KeyboardInterrupt\n", - "\n" - ] + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_html_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50'],\n", + " num_rows: 12779\n", + "})" + ] + }, + "execution_count": 183, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "corrects = 0\n", - "total = 0\n", - "\n", - "\n", - "# Validate entries\n", - "count = 0\n", - "for entry in tqdm(dataset):\n", - " count += 1\n", - " total += 1\n", - " df = pd.read_csv(StringIO(entry['table_text']), delimiter='#')\n", - " pandas_eval = str(bool(eval(entry['pandas_code'])))\n", - " if str(bool(entry['label'])) == str(pandas_eval):\n", - " corrects += 1\n", - "\n", - "print(corrects, total, corrects / total)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fea0cca3-4aa4-4f32-be60-9b8f9f254281", - "metadata": {}, - "outputs": [], - "source": [ - "print(corrects, total, corrects / total)" + "d2 = load_from_disk('tab_fact_test_universal2/')\n", + "d2\n" ] }, { "cell_type": "code", - "execution_count": 18, - "id": "9aa9bff2-1d28-49df-8581-8af3813a2b6b", + "execution_count": 64, + "id": "4f6f9227-ca54-42c1-ba49-78088fa95752", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter (num_proc=17): 100%|██████████| 88223/88223 [00:00<00:00, 165513.29 examples/s]\n" - ] - }, { "data": { "text/plain": [ "Dataset({\n", - " features: ['id', 'statement', 'label', 'table_caption', 'table_text', 'pandas_code', 'pandas_eval'],\n", - " num_rows: 88223\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50', 'semtab_xml_attributes_top1_tresh50_answ', 'semtab_xml_attributes_top1_tresh50_label', 'semtab_xml_attributes_top1_tresh50_answ_correct', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_exampples_description_top1_tresh50_label', 'semtab_xml_elements_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_description_top1_tresh50_answ', 'semtab_xml_elements_description_top1_tresh50_label', 'semtab_xml_elements_description_top1_tresh50_answ_correct', 'semtab_xml_elements_top1_tresh50_answ', 'semtab_xml_elements_top1_tresh50_label', 'semtab_xml_elements_top1_tresh50_answ_correct', '__index_level_0__'],\n", + " num_rows: 1695\n", "})" ] }, - "execution_count": 18, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dataset.filter(lambda x: True if eval(x['pandas_eval'])==bool(x['label']) else False, num_proc=17)" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "id": "bdc341e2-c331-4bef-b045-56aa812719ad", - "metadata": {}, - "outputs": [], - "source": [ - "def serialize_table_to_tapex_format(df):\n", - " head_pattern = \" col : \"\n", - " row_pattern = \" row {num} : \"\n", - " coll_delimetr = \" | \"\n", - " \n", - " lin_table = head_pattern+coll_delimetr.join(df.columns)\n", - " for i,row in df.iterrows():\n", - " #print(row_pattern.format(num=i+1))\n", - " lin_table+=row_pattern.format(num=i+1)+coll_delimetr.join(str(r) for r in row.values)\n", - " \n", - " return lin_table" + "d2 = load_from_disk('tab_fact_test_unique_tables')\n", + "d2" ] }, { "cell_type": "code", - "execution_count": null, - "id": "a590fde2-7ac8-4db9-ba60-89b0aa07304d", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "88831cc3-fa17-4aa6-a72a-580b5e2f87d1", + "execution_count": 26, + "id": "05c000fc-0e50-43a1-91cc-e72173b3b829", "metadata": {}, "outputs": [ { - "ename": "SyntaxError", - "evalue": "invalid syntax (290219339.py, line 1)", - "output_type": "error", - "traceback": [ - "\u001b[0;36m Cell \u001b[0;32mIn[6], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m python, в дирректории проекта 2 папки f1 и f2 в f1 файл file.py и init.py. В f2 файл run.py как в run.py импортировать функцию из file.py\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" - ] + "data": { + "text/plain": [ + "{'id': 1085,\n", + " 'table_csv': '1-27047554-1.html.csv',\n", + " 'table_text': \"no in series#title#directed by#written by#original air date#us viewers (in millions)\\n1#pilot#lesli linka glatter#i marlene king#june 8 , 2010#2.47\\n2#the jenna thing#liz friedlander#i marlene king#june 15 , 2010#2.48\\n3#to kill a mocking girl#elodie keene#oliver goldstick#june 22 , 2010#2.74\\n4#can you hear me now#norman buckley#joseph dougherty#june 29 , 2010#2.08\\n5#reality bites me#wendey stanzler#bryan m holdman#july 6 , 2010#2.62\\n6#there 's no place like homecoming#norman buckley#maya goldsmith#july 13 , 2010#2.69\\n7#the homecoming hangover#chris grismer#tamar laddy#july 20 , 2010#2.55\\n8#please , do talk about me when i'm gone#arlene sanford#joseph dougherty#july 27 , 2010#2.52\\n9#the perfect storm#jamie babbit#oliver goldstick#august 3 , 2010#2.55\\n10#keep your friends close#ron lagomarsino#i marlene king#august 10 , 2010#3.07\\n11#moments later#norman buckley#joseph dougherty#january 3 , 2011#4.22\\n12#salt meets wound#norman buckley#oliver goldstick#january 10 , 2011#3.21\\n13#know your frenemies#ron lagomarsino#i marlene king#january 17 , 2011#2.99\\n14#careful what u wish 4#norman buckley#tamar laddy#january 24 , 2011#3.17\\n15#if at first you don't succeed , lie , lie again#ron lagomarsino#maya goldsmith#january 31 , 2011#3.19\\n16#je suis une amie#chris grismer#bryan m holdman#february 7 , 2011#3.14\\n17#the new normal#michael grossman#joseph dougherty#february 14 , 2011#2.35\\n18#the badass seed#paul lazarus#oliver goldstick & francesca rollins#february 21 , 2011#2.90\\n19#a person of interest#ron lagomarsino#i marlene king & jonell lennon#february 28 , 2011#2.69\\n20#someone to watch over me#arlene sanford#joseph dougherty#march 7 , 2011#2.95\\n21#monsters in the end#chris grismer#oliver goldstick#march 14 , 2011#2.94\\n\",\n", + " 'label': 0,\n", + " 'statement': 'joseph dougherty write 1 episode in season 1',\n", + " 'table_caption': 'pretty little liars (season 1)'}" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "python, в дирректории проекта 2 папки f1 и f2 в f1 файл file.py и init.py. В f2 файл run.py как в run.py импортировать функцию из file.py" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "3f3f6c1d-5245-43a1-a0f5-8e25cd36d491", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "import os" + "d0 = load_from_disk('tab_fact_train')\n", + "d0[8856]" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "b415bdf8-f8f2-42c7-af4d-6cb2862aa21c", + "execution_count": 2, + "id": "45d5ea74-d286-4336-9b2f-f3af6efdbab8", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'statement', 'label', 'table_caption', 'table_text', 'pandas_code', 'pandas_eval'],\n", + " num_rows: 88223\n", + "})" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import sys\n", - "import os\n", - "\n", - "# Добавляем корневую директорию проекта в sys.path\n", - "sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests')))" + "dataset = Dataset.from_json(\"../datasets/PanTabFact/PanTabFact.json\")\n", + "dataset" ] }, { "cell_type": "code", - "execution_count": 9, - "id": "4d37f102-5b9c-4d17-96fb-ee43597940c5", + "execution_count": 27, + "id": "a0fad5b2-b1cb-49a8-87e3-bfe1559aacda", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['/usr/lib/python310.zip',\n", - " '/usr/lib/python3.10',\n", - " '/usr/lib/python3.10/lib-dynload',\n", - " '',\n", - " '/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages',\n", - " '/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/nvidia_cutlass_dsl/python_packages',\n", - " '/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer']" + "Dataset({\n", + " features: ['id', 'statement', 'label', 'table_caption', 'table_text', 'pandas_code', 'pandas_eval'],\n", + " num_rows: 88223\n", + "})" ] }, - "execution_count": 9, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "sys.path" + "dataset" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "a3d85a1e-30c9-4854-aed6-39dcd08a795a", + "execution_count": 3, + "id": "3787edc0-bdef-48d1-9315-cdeb915d8311", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ad4995645c1f4371a5fe45458446ba58", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Saving the dataset (0/1 shards): 0%| | 0/88223 [00:00\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", + "name": "stderr", + "output_type": "stream", + "text": [ + " 0%| | 0/88223 [00:00:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 0%| | 108/88223 [00:00<02:36, 563.66it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 0%| | 328/88223 [00:00<02:06, 693.73it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 1%| | 483/88223 [00:00<02:02, 713.90it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 1%| | 561/88223 [00:00<01:59, 732.08it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 1%| | 637/88223 [00:00<01:58, 738.60it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + " 1%| | 873/88223 [00:01<01:54, 765.48it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 1%|▏ | 1190/88223 [00:01<01:51, 778.78it/s]:1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " 2%|▏ | 1428/88223 [00:01<01:51, 776.39it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 2%|▏ | 1583/88223 [00:02<01:53, 763.94it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 2%|▏ | 1999/88223 [00:02<01:46, 809.60it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 2%|▏ | 2167/88223 [00:02<01:45, 817.49it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 3%|▎ | 2249/88223 [00:02<01:46, 803.56it/s]:1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 3%|▎ | 2330/88223 [00:03<01:54, 751.92it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 3%|▎ | 2406/88223 [00:03<01:54, 751.69it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 3%|▎ | 2879/88223 [00:03<01:55, 739.85it/s]:1: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", + " 4%|▎ | 3123/88223 [00:04<01:47, 789.47it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 4%|▍ | 3439/88223 [00:04<01:50, 768.22it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + " 4%|▍ | 3517/88223 [00:04<01:52, 752.56it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 4%|▍ | 3753/88223 [00:04<01:52, 748.02it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 4%|▍ | 3915/88223 [00:05<01:48, 776.74it/s]:1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 5%|▍ | 4150/88223 [00:05<01:51, 753.17it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 5%|▍ | 4226/88223 [00:05<01:52, 749.04it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 5%|▍ | 4389/88223 [00:05<01:46, 783.90it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 5%|▌ | 4547/88223 [00:05<01:47, 778.24it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 5%|▌ | 4625/88223 [00:06<01:48, 768.25it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 6%|▌ | 4935/88223 [00:06<01:49, 762.21it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 6%|▌ | 5016/88223 [00:06<01:47, 774.33it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + " 6%|▌ | 5175/88223 [00:06<01:47, 771.97it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 6%|▌ | 5491/88223 [00:07<01:48, 760.29it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 6%|▋ | 5646/88223 [00:07<01:48, 762.02it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 6%|▋ | 5723/88223 [00:07<01:48, 758.93it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 7%|▋ | 5969/88223 [00:07<01:45, 783.25it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 7%|▋ | 6127/88223 [00:08<01:45, 777.39it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 7%|▋ | 6608/88223 [00:08<01:44, 778.44it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 8%|▊ | 6688/88223 [00:08<01:44, 782.88it/s]:1: UserWarning: Parsing dates in %d / %m / %Y format when dayfirst=False (the default) was specified. Pass `dayfirst=True` or specify a format to silence this warning.\n", + " 8%|▊ | 6927/88223 [00:09<01:43, 784.47it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 9%|▊ | 7565/88223 [00:09<01:43, 780.79it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 9%|▉ | 7725/88223 [00:10<01:42, 785.70it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 9%|▉ | 7960/88223 [00:10<01:49, 732.08it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 9%|▉ | 8036/88223 [00:10<01:48, 736.27it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 9%|▉ | 8115/88223 [00:10<01:46, 750.62it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 9%|▉ | 8193/88223 [00:10<01:45, 757.16it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 9%|▉ | 8269/88223 [00:10<01:46, 753.30it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 9%|▉ | 8345/88223 [00:10<01:46, 749.26it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 10%|▉ | 8421/88223 [00:11<01:48, 733.19it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 10%|▉ | 8811/88223 [00:11<01:52, 707.73it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 10%|█ | 8885/88223 [00:11<01:51, 714.20it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 11%|█ | 9264/88223 [00:12<01:47, 735.24it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 11%|█ | 9428/88223 [00:12<01:41, 772.73it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 11%|█ | 9831/88223 [00:12<01:40, 782.14it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 12%|█▏ | 10634/88223 [00:13<01:39, 778.16it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 12%|█▏ | 10869/88223 [00:14<01:40, 770.80it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 12%|█▏ | 10947/88223 [00:14<01:41, 765.10it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 12%|█▏ | 11024/88223 [00:14<01:41, 763.80it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 13%|█▎ | 11101/88223 [00:14<01:41, 759.70it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 13%|█▎ | 11178/88223 [00:14<01:41, 760.08it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 13%|█▎ | 11335/88223 [00:14<01:41, 759.89it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 13%|█▎ | 11493/88223 [00:15<01:39, 767.93it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 13%|█▎ | 11573/88223 [00:15<01:38, 775.12it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 14%|█▍ | 12610/88223 [00:16<01:37, 773.06it/s]:1: RuntimeWarning: invalid value encountered in scalar subtract\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 14%|█▍ | 12767/88223 [00:16<01:37, 774.69it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 15%|█▍ | 13004/88223 [00:16<01:35, 784.19it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 15%|█▍ | 13083/88223 [00:17<01:38, 761.33it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 15%|█▌ | 13403/88223 [00:17<01:37, 764.89it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 15%|█▌ | 13481/88223 [00:17<01:38, 759.85it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 16%|█▌ | 13801/88223 [00:18<01:34, 787.83it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 16%|█▌ | 13964/88223 [00:18<01:34, 783.50it/s]:1: UserWarning: Parsing dates in %d / %m / %Y format when dayfirst=False (the default) was specified. Pass `dayfirst=True` or specify a format to silence this warning.\n", + " 16%|█▌ | 14206/88223 [00:18<01:34, 785.42it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 17%|█▋ | 14709/88223 [00:19<01:28, 826.48it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 17%|█▋ | 14957/88223 [00:19<01:31, 799.90it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 17%|█▋ | 15121/88223 [00:19<01:34, 773.19it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 17%|█▋ | 15199/88223 [00:19<01:36, 757.67it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 17%|█▋ | 15278/88223 [00:19<01:35, 764.00it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 17%|█▋ | 15355/88223 [00:20<01:37, 747.44it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 17%|█▋ | 15431/88223 [00:20<01:37, 749.88it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 18%|█▊ | 16153/88223 [00:21<01:32, 778.23it/s]:1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " 18%|█▊ | 16306/88223 [00:21<01:36, 747.60it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 19%|█▊ | 16384/88223 [00:21<01:35, 752.71it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 19%|█▉ | 16542/88223 [00:21<01:34, 755.56it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 19%|█▉ | 16701/88223 [00:21<01:32, 771.50it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 19%|█▉ | 17091/88223 [00:22<01:32, 767.19it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 19%|█▉ | 17168/88223 [00:22<01:36, 735.00it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 20%|█▉ | 17244/88223 [00:22<01:35, 742.09it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 20%|█▉ | 17321/88223 [00:22<01:34, 748.39it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 20%|█▉ | 17471/88223 [00:22<01:36, 730.25it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 20%|█▉ | 17545/88223 [00:22<01:36, 730.45it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 20%|█▉ | 17621/88223 [00:23<01:35, 737.44it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 20%|██ | 17702/88223 [00:23<01:33, 757.88it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 20%|██ | 17859/88223 [00:23<01:31, 771.12it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 20%|██ | 17943/88223 [00:23<01:28, 790.06it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 21%|██ | 18502/88223 [00:24<01:28, 785.05it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 21%|██ | 18581/88223 [00:24<01:29, 777.77it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 21%|██ | 18741/88223 [00:24<01:30, 767.43it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 21%|██▏ | 18818/88223 [00:24<01:33, 744.41it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 21%|██▏ | 18893/88223 [00:24<01:33, 738.70it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 22%|██▏ | 19044/88223 [00:24<01:32, 745.70it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 22%|██▏ | 19121/88223 [00:24<01:32, 749.95it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 22%|██▏ | 19348/88223 [00:25<01:31, 749.67it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 22%|██▏ | 19434/88223 [00:25<01:28, 778.96it/s]:1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " 22%|██▏ | 19836/88223 [00:25<01:26, 792.19it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 23%|██▎ | 19996/88223 [00:26<01:27, 779.39it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 23%|██▎ | 20238/88223 [00:26<01:28, 769.19it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 23%|██▎ | 20393/88223 [00:26<01:30, 750.74it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 23%|██▎ | 20475/88223 [00:26<01:28, 768.83it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 24%|██▎ | 20881/88223 [00:27<01:26, 778.64it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 24%|██▍ | 20961/88223 [00:27<01:25, 784.44it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 24%|██▍ | 21040/88223 [00:27<01:28, 763.11it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 24%|██▍ | 21432/88223 [00:27<01:27, 763.40it/s]:1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 24%|██▍ | 21510/88223 [00:28<01:26, 768.24it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 25%|██▍ | 21830/88223 [00:28<01:23, 794.46it/s]:1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " 25%|██▍ | 21910/88223 [00:28<01:24, 784.44it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 26%|██▌ | 22941/88223 [00:29<01:22, 791.11it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 26%|██▌ | 23022/88223 [00:29<01:21, 795.84it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 26%|██▌ | 23102/88223 [00:30<01:22, 788.11it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 26%|██▋ | 23261/88223 [00:30<01:22, 786.10it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 27%|██▋ | 23505/88223 [00:30<01:20, 802.94it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 27%|██▋ | 23586/88223 [00:30<01:21, 796.05it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 27%|██▋ | 23666/88223 [00:30<01:25, 758.55it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 27%|██▋ | 23911/88223 [00:31<01:22, 779.74it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 27%|██▋ | 24070/88223 [00:31<01:23, 768.43it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 28%|██▊ | 24386/88223 [00:31<01:22, 770.90it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 28%|██▊ | 24464/88223 [00:31<01:23, 765.03it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 28%|██▊ | 24852/88223 [00:32<01:22, 763.77it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 28%|██▊ | 25007/88223 [00:32<01:24, 752.57it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 29%|██▊ | 25239/88223 [00:32<01:22, 761.59it/s]:1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 29%|██▉ | 25636/88223 [00:33<01:22, 760.80it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 29%|██▉ | 25713/88223 [00:33<01:24, 740.90it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 29%|██▉ | 25794/88223 [00:33<01:22, 759.28it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 29%|██▉ | 25873/88223 [00:33<01:21, 766.10it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 30%|██▉ | 26439/88223 [00:34<01:18, 784.57it/s]:1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", + ":1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", + " 30%|███ | 26837/88223 [00:34<01:20, 762.23it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 31%|███ | 27313/88223 [00:35<01:17, 788.47it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 31%|███▏ | 27627/88223 [00:35<01:19, 764.67it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 31%|███▏ | 27785/88223 [00:36<01:18, 774.54it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 32%|███▏ | 27942/88223 [00:36<01:17, 775.48it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 32%|███▏ | 28020/88223 [00:36<01:17, 776.57it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 32%|███▏ | 28659/88223 [00:37<01:16, 777.91it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 33%|███▎ | 28899/88223 [00:37<01:15, 783.15it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 33%|███▎ | 29295/88223 [00:38<01:17, 755.87it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 33%|███▎ | 29374/88223 [00:38<01:16, 764.46it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 34%|███▎ | 29613/88223 [00:38<01:14, 782.70it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 34%|███▎ | 29692/88223 [00:38<01:15, 777.01it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 34%|███▍ | 29854/88223 [00:38<01:14, 787.29it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 34%|███▍ | 30172/88223 [00:39<01:14, 780.96it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 34%|███▍ | 30329/88223 [00:39<01:17, 751.62it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 34%|███▍ | 30405/88223 [00:39<01:16, 751.77it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 35%|███▍ | 30796/88223 [00:40<01:14, 774.39it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 35%|███▍ | 30875/88223 [00:40<01:13, 777.86it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 35%|███▌ | 30953/88223 [00:40<01:17, 739.46it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 35%|███▌ | 31110/88223 [00:40<01:15, 759.53it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 35%|███▌ | 31267/88223 [00:40<01:14, 760.79it/s]:1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " 37%|███▋ | 32307/88223 [00:42<01:13, 759.72it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 37%|███▋ | 32459/88223 [00:42<01:15, 736.45it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 37%|███▋ | 32622/88223 [00:42<01:11, 772.54it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 37%|███▋ | 32935/88223 [00:42<01:12, 758.89it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 38%|███▊ | 33250/88223 [00:43<01:10, 776.92it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 38%|███▊ | 33331/88223 [00:43<01:09, 784.57it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 38%|███▊ | 33573/88223 [00:43<01:10, 778.36it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 39%|███▊ | 34113/88223 [00:44<01:11, 754.71it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 39%|███▉ | 34192/88223 [00:44<01:10, 764.20it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 39%|███▉ | 34668/88223 [00:45<01:08, 785.10it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 40%|███▉ | 34907/88223 [00:45<01:09, 767.93it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 40%|███▉ | 35143/88223 [00:45<01:08, 769.41it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 40%|███▉ | 35221/88223 [00:45<01:09, 764.50it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 40%|████ | 35299/88223 [00:45<01:09, 766.84it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 40%|████ | 35376/88223 [00:46<01:10, 754.23it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 40%|████ | 35679/88223 [00:46<01:10, 746.60it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 41%|████ | 35755/88223 [00:46<01:10, 748.29it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 41%|████ | 35998/88223 [00:46<01:09, 749.56it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 41%|████ | 36074/88223 [00:47<01:12, 719.88it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 42%|████▏ | 36967/88223 [00:48<01:04, 790.15it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 42%|████▏ | 37047/88223 [00:48<01:04, 789.02it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 42%|████▏ | 37207/88223 [00:48<01:05, 782.29it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 42%|████▏ | 37363/88223 [00:48<01:07, 751.97it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 43%|████▎ | 37596/88223 [00:48<01:06, 766.10it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 43%|████▎ | 37678/88223 [00:49<01:04, 781.32it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 43%|████▎ | 37834/88223 [00:49<01:06, 757.17it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 43%|████▎ | 37910/88223 [00:49<01:06, 755.51it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 43%|████▎ | 38153/88223 [00:49<01:03, 783.72it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 44%|████▎ | 38469/88223 [00:50<01:05, 754.03it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 44%|████▍ | 38627/88223 [00:50<01:05, 761.45it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 44%|████▍ | 38704/88223 [00:50<01:05, 753.87it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 44%|████▍ | 38780/88223 [00:50<01:07, 734.01it/s]:1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " 44%|████▍ | 38860/88223 [00:50<01:05, 752.46it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 44%|████▍ | 39178/88223 [00:51<01:03, 775.14it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 45%|████▍ | 39335/88223 [00:51<01:04, 758.73it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 45%|████▍ | 39493/88223 [00:51<01:03, 770.04it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 45%|████▌ | 39814/88223 [00:51<01:01, 790.16it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 45%|████▌ | 40055/88223 [00:52<01:01, 784.18it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 45%|████▌ | 40134/88223 [00:52<01:02, 768.61it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 46%|████▌ | 40288/88223 [00:52<01:02, 761.20it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 46%|████▌ | 40365/88223 [00:52<01:03, 753.83it/s]:1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " 46%|████▌ | 40441/88223 [00:52<01:03, 746.77it/s]:1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 46%|████▌ | 40595/88223 [00:52<01:02, 756.72it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 46%|████▌ | 40671/88223 [00:52<01:05, 728.61it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 46%|████▌ | 40747/88223 [00:53<01:04, 736.41it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 46%|████▋ | 40907/88223 [00:53<01:01, 763.44it/s]:1: RuntimeWarning: invalid value encountered in scalar divide\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 47%|████▋ | 41066/88223 [00:53<01:01, 770.53it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 47%|████▋ | 41144/88223 [00:53<01:01, 760.91it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 47%|████▋ | 41224/88223 [00:53<01:00, 771.21it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 47%|████▋ | 41306/88223 [00:53<00:59, 785.07it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 47%|████▋ | 41627/88223 [00:54<00:59, 789.30it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 47%|████▋ | 41863/88223 [00:54<01:00, 771.31it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 48%|████▊ | 42020/88223 [00:54<00:59, 774.80it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 48%|████▊ | 42488/88223 [00:55<00:59, 764.91it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 48%|████▊ | 42722/88223 [00:55<01:00, 750.64it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + " 49%|████▊ | 42803/88223 [00:55<00:59, 766.97it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 49%|████▊ | 42884/88223 [00:55<00:58, 779.49it/s]:1: FutureWarning: The behavior of Series.idxmin with all-NA values, or any-NA and skipna=False, is deprecated. In a future version this will raise ValueError\n", + " 49%|████▉ | 43042/88223 [00:56<00:59, 762.59it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + " 49%|████▉ | 43522/88223 [00:56<00:57, 779.06it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 49%|████▉ | 43600/88223 [00:56<00:57, 775.67it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 50%|████▉ | 43764/88223 [00:57<00:58, 765.33it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 50%|████▉ | 43936/88223 [00:57<00:54, 808.17it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 50%|████▉ | 44098/88223 [00:57<00:55, 795.12it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 50%|█████ | 44178/88223 [00:57<00:57, 765.42it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 50%|█████ | 44255/88223 [00:57<00:58, 752.66it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 50%|█████ | 44415/88223 [00:57<00:56, 774.90it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + " 50%|█████ | 44493/88223 [00:57<00:57, 764.15it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 51%|█████ | 44650/88223 [00:58<01:09, 623.29it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 51%|█████ | 44731/88223 [00:58<01:05, 668.02it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 51%|█████ | 44883/88223 [00:58<01:01, 706.36it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 51%|█████ | 44962/88223 [00:58<00:59, 727.80it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 51%|█████ | 45125/88223 [00:58<00:56, 767.46it/s]:1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " 51%|█████ | 45211/88223 [00:58<00:54, 791.22it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 52%|█████▏ | 45533/88223 [00:59<00:54, 789.75it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 52%|█████▏ | 45613/88223 [00:59<00:54, 783.43it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 52%|█████▏ | 45848/88223 [00:59<00:55, 761.07it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 52%|█████▏ | 45930/88223 [00:59<00:54, 775.24it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 53%|█████▎ | 46318/88223 [01:00<00:55, 756.40it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 53%|█████▎ | 46394/88223 [01:00<00:55, 751.85it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 53%|█████▎ | 46474/88223 [01:00<00:54, 764.01it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + " 53%|█████▎ | 46710/88223 [01:00<00:53, 779.25it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 53%|█████▎ | 46788/88223 [01:00<00:53, 772.71it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 53%|█████▎ | 47023/88223 [01:01<01:00, 684.47it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 53%|█████▎ | 47105/88223 [01:01<00:57, 719.79it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 54%|█████▍ | 47516/88223 [01:01<00:50, 801.04it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 54%|█████▍ | 48018/88223 [01:02<00:49, 813.66it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 55%|█████▍ | 48100/88223 [01:02<00:49, 810.37it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 55%|█████▍ | 48267/88223 [01:02<00:49, 806.37it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 55%|█████▍ | 48353/88223 [01:02<00:48, 818.08it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 55%|█████▌ | 48604/88223 [01:03<00:48, 813.24it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 55%|█████▌ | 48767/88223 [01:03<00:49, 801.11it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 56%|█████▌ | 49014/88223 [01:03<00:48, 812.26it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 56%|█████▌ | 49098/88223 [01:03<00:47, 818.98it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 56%|█████▌ | 49180/88223 [01:03<00:48, 805.68it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 56%|█████▌ | 49261/88223 [01:04<00:48, 805.56it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 56%|█████▌ | 49345/88223 [01:04<00:47, 813.51it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 56%|█████▌ | 49595/88223 [01:04<00:46, 825.88it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 57%|█████▋ | 50262/88223 [01:05<00:47, 805.53it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 58%|█████▊ | 50747/88223 [01:05<00:46, 807.32it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 58%|█████▊ | 50828/88223 [01:06<00:46, 797.08it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 58%|█████▊ | 51071/88223 [01:06<00:46, 799.74it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 59%|█████▊ | 51665/88223 [01:07<00:44, 828.74it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 59%|█████▊ | 51831/88223 [01:07<00:44, 812.79it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 59%|█████▉ | 51999/88223 [01:07<00:44, 817.74it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 59%|█████▉ | 52081/88223 [01:07<00:44, 804.67it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + " 59%|█████▉ | 52162/88223 [01:07<00:45, 798.39it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 60%|██████ | 53330/88223 [01:09<00:42, 824.02it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 61%|██████ | 53585/88223 [01:09<00:41, 832.22it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 61%|██████ | 53920/88223 [01:09<00:42, 815.74it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 61%|██████▏ | 54087/88223 [01:10<00:41, 816.05it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 62%|██████▏ | 54754/88223 [01:10<00:40, 829.76it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 62%|██████▏ | 54921/88223 [01:11<00:41, 804.42it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 62%|██████▏ | 55088/88223 [01:11<00:40, 819.75it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 63%|██████▎ | 55171/88223 [01:11<00:40, 817.47it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 64%|██████▍ | 56432/88223 [01:12<00:38, 832.03it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 64%|██████▍ | 56598/88223 [01:13<00:38, 816.90it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 64%|██████▍ | 56680/88223 [01:13<00:39, 807.01it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 65%|██████▍ | 57003/88223 [01:13<00:38, 802.44it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 65%|██████▍ | 57253/88223 [01:13<00:37, 819.07it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 65%|██████▌ | 57496/88223 [01:14<00:38, 795.18it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 65%|██████▌ | 57576/88223 [01:14<00:38, 792.76it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 66%|██████▌ | 57821/88223 [01:14<00:37, 801.44it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 66%|██████▌ | 58416/88223 [01:15<00:35, 849.24it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 66%|██████▋ | 58501/88223 [01:15<00:35, 845.76it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 67%|██████▋ | 58670/88223 [01:15<00:35, 825.43it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 67%|██████▋ | 58753/88223 [01:15<00:37, 780.38it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 68%|██████▊ | 59828/88223 [01:17<00:34, 829.78it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 68%|██████▊ | 60158/88223 [01:17<00:34, 811.14it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 69%|██████▉ | 60654/88223 [01:18<00:33, 819.69it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 69%|██████▉ | 61071/88223 [01:18<00:33, 820.83it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 69%|██████▉ | 61156/88223 [01:18<00:32, 827.17it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 70%|██████▉ | 61487/88223 [01:19<00:32, 814.11it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 70%|███████ | 61912/88223 [01:19<00:31, 829.83it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 70%|███████ | 61996/88223 [01:19<00:31, 825.18it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 70%|███████ | 62079/88223 [01:19<00:31, 821.57it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 71%|███████ | 62334/88223 [01:20<00:31, 835.11it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 71%|███████ | 62836/88223 [01:20<00:30, 825.18it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 71%|███████▏ | 62919/88223 [01:20<00:30, 824.89it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 71%|███████▏ | 63007/88223 [01:20<00:30, 838.29it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 72%|███████▏ | 63091/88223 [01:21<00:30, 832.98it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 72%|███████▏ | 63175/88223 [01:21<00:30, 828.19it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 72%|███████▏ | 63687/88223 [01:21<00:29, 830.09it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 72%|███████▏ | 63938/88223 [01:22<00:29, 822.97it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 73%|███████▎ | 64446/88223 [01:22<00:28, 826.03it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 74%|███████▎ | 64869/88223 [01:23<00:27, 834.14it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 74%|███████▎ | 64953/88223 [01:23<00:28, 815.83it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 74%|███████▍ | 65118/88223 [01:23<00:28, 809.30it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 74%|███████▍ | 65706/88223 [01:24<00:27, 829.98it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 75%|███████▍ | 65790/88223 [01:24<00:27, 818.98it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 75%|███████▌ | 66286/88223 [01:24<00:26, 815.33it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 75%|███████▌ | 66456/88223 [01:25<00:26, 827.40it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 76%|███████▌ | 66626/88223 [01:25<00:25, 834.14it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 76%|███████▌ | 66710/88223 [01:25<00:25, 831.30it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 76%|███████▌ | 66959/88223 [01:25<00:26, 815.29it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 76%|███████▋ | 67291/88223 [01:26<00:25, 812.03it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 76%|███████▋ | 67457/88223 [01:26<00:25, 814.40it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 77%|███████▋ | 67539/88223 [01:26<00:25, 811.50it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 77%|███████▋ | 67702/88223 [01:26<00:25, 799.57it/s]:1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " 77%|███████▋ | 67784/88223 [01:26<00:25, 804.33it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 77%|███████▋ | 67951/88223 [01:26<00:25, 809.93it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 77%|███████▋ | 68194/88223 [01:27<00:25, 791.85it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 77%|███████▋ | 68359/88223 [01:27<00:24, 807.52it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 78%|███████▊ | 68526/88223 [01:27<00:24, 811.50it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + " 78%|███████▊ | 68610/88223 [01:27<00:23, 819.09it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + " 78%|███████▊ | 68692/88223 [01:27<00:23, 816.80it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 79%|███████▊ | 69382/88223 [01:28<00:22, 840.42it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 79%|███████▉ | 69890/88223 [01:29<00:22, 822.84it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 79%|███████▉ | 70056/88223 [01:29<00:22, 816.41it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 80%|███████▉ | 70477/88223 [01:30<00:21, 830.79it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 81%|████████ | 71394/88223 [01:31<00:20, 826.49it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 81%|████████ | 71477/88223 [01:31<00:20, 805.04it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 81%|████████ | 71558/88223 [01:31<00:20, 798.49it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 82%|████████▏ | 71975/88223 [01:31<00:19, 829.02it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 82%|████████▏ | 72058/88223 [01:31<00:19, 825.26it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 82%|████████▏ | 72144/88223 [01:32<00:19, 832.30it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 82%|████████▏ | 72228/88223 [01:32<00:19, 830.50it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 82%|████████▏ | 72476/88223 [01:32<00:19, 811.33it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 82%|████████▏ | 72647/88223 [01:32<00:18, 832.85it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 82%|████████▏ | 72733/88223 [01:32<00:18, 838.59it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 83%|████████▎ | 72901/88223 [01:32<00:18, 829.44it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 83%|████████▎ | 72985/88223 [01:33<00:18, 828.99it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 83%|████████▎ | 73237/88223 [01:33<00:18, 822.95it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 83%|████████▎ | 73567/88223 [01:33<00:18, 809.48it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 83%|████████▎ | 73653/88223 [01:33<00:17, 820.43it/s]:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + " 84%|████████▍ | 74155/88223 [01:34<00:17, 821.97it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 84%|████████▍ | 74238/88223 [01:34<00:17, 813.56it/s]:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " 84%|████████▍ | 74489/88223 [01:34<00:16, 824.86it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 85%|████████▍ | 74572/88223 [01:35<00:16, 810.43it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 85%|████████▍ | 74656/88223 [01:35<00:16, 817.51it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 85%|████████▍ | 74903/88223 [01:35<00:16, 815.77it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 85%|████████▍ | 74985/88223 [01:35<00:16, 795.25it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 86%|████████▌ | 75740/88223 [01:36<00:15, 830.32it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 86%|████████▌ | 75990/88223 [01:36<00:14, 822.66it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 86%|████████▌ | 76073/88223 [01:36<00:14, 819.59it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 87%|████████▋ | 76321/88223 [01:37<00:14, 817.82it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 87%|████████▋ | 76489/88223 [01:37<00:14, 824.41it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 87%|████████▋ | 76656/88223 [01:37<00:14, 822.11it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 87%|████████▋ | 76739/88223 [01:37<00:14, 814.25it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 87%|████████▋ | 76903/88223 [01:37<00:14, 804.18it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 87%|████████▋ | 76984/88223 [01:37<00:14, 800.53it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 88%|████████▊ | 77478/88223 [01:38<00:13, 822.52it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 88%|████████▊ | 77645/88223 [01:38<00:12, 818.08it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 88%|████████▊ | 77727/88223 [01:38<00:13, 797.18it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 88%|████████▊ | 77888/88223 [01:39<00:12, 800.32it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 88%|████████▊ | 77969/88223 [01:39<00:12, 794.77it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 89%|████████▊ | 78137/88223 [01:39<00:12, 814.96it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 89%|████████▊ | 78219/88223 [01:39<00:12, 813.40it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 90%|████████▉ | 78974/88223 [01:40<00:11, 819.75it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 90%|████████▉ | 79307/88223 [01:40<00:10, 817.41it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 90%|█████████ | 79553/88223 [01:41<00:10, 810.88it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 90%|█████████ | 79800/88223 [01:41<00:10, 815.68it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 91%|█████████ | 79964/88223 [01:41<00:10, 814.82it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 91%|█████████ | 80046/88223 [01:41<00:10, 811.52it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 91%|█████████ | 80210/88223 [01:41<00:09, 814.13it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 92%|█████████▏| 80795/88223 [01:42<00:08, 830.17it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 92%|█████████▏| 80879/88223 [01:42<00:08, 822.30it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 92%|█████████▏| 81126/88223 [01:43<00:08, 813.35it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 92%|█████████▏| 81290/88223 [01:43<00:08, 811.18it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 92%|█████████▏| 81457/88223 [01:43<00:08, 818.94it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 93%|█████████▎| 82041/88223 [01:44<00:07, 830.56it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 93%|█████████▎| 82208/88223 [01:44<00:07, 816.11it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 93%|█████████▎| 82458/88223 [01:44<00:07, 810.09it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 94%|█████████▍| 83046/88223 [01:45<00:06, 838.79it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " 94%|█████████▍| 83301/88223 [01:45<00:05, 828.09it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 95%|█████████▍| 83467/88223 [01:45<00:05, 818.43it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 95%|█████████▍| 83718/88223 [01:46<00:05, 816.37it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 95%|█████████▍| 83800/88223 [01:46<00:05, 816.83it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 95%|█████████▌| 84047/88223 [01:46<00:05, 813.53it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 96%|█████████▌| 84628/88223 [01:47<00:04, 823.17it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 96%|█████████▌| 84799/88223 [01:47<00:04, 834.30it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 97%|█████████▋| 85302/88223 [01:48<00:03, 811.17it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 97%|█████████▋| 85465/88223 [01:48<00:03, 802.36it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 97%|█████████▋| 85630/88223 [01:48<00:03, 812.23it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 97%|█████████▋| 85712/88223 [01:48<00:03, 804.99it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 97%|█████████▋| 85797/88223 [01:48<00:02, 817.27it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 97%|█████████▋| 85963/88223 [01:48<00:02, 820.86it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 98%|█████████▊| 86469/88223 [01:49<00:02, 821.96it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 99%|█████████▉| 87236/88223 [01:50<00:01, 816.17it/s]:1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + " 99%|█████████▉| 87486/88223 [01:50<00:00, 821.97it/s]:1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " 99%|█████████▉| 87569/88223 [01:50<00:00, 808.54it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + " 99%|█████████▉| 87651/88223 [01:51<00:00, 809.44it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + "100%|█████████▉| 87895/88223 [01:51<00:00, 805.62it/s]:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + "100%|█████████▉| 88060/88223 [01:51<00:00, 811.62it/s]:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + "100%|██████████| 88223/88223 [01:51<00:00, 789.64it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "88220 88223 0.9999659952620065\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "corrects = 0\n", + "total = 0\n", + "\n", + "\n", + "# Validate entries\n", + "count = 0\n", + "for entry in tqdm(dataset):\n", + " count += 1\n", + " total += 1\n", + " df = pd.read_csv(StringIO(entry['table_text']), delimiter='#')\n", + " pandas_eval = str(bool(eval(entry['pandas_code'])))\n", + " if entry['pandas_eval'] == str(pandas_eval):\n", + " corrects += 1\n", + "\n", + "print(corrects, total, corrects / total)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "a974cadb-2c8a-49e6-b128-52bcbe7e2eeb", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'entry' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[13], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mentry\u001b[49m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpandas_eval\u001b[39m\u001b[38;5;124m'\u001b[39m]\n", + "\u001b[0;31mNameError\u001b[0m: name 'entry' is not defined" + ] + } + ], + "source": [ + "entry['pandas_eval']" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "358bdbc7-5170-426c-a035-4deb359788fc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'True'" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pandas_eval" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "7cfd4efd-53a1-47b8-b268-efa6908415d3", + "metadata": {}, + "outputs": [], + "source": [ + "def run_filter(data):\n", + " import pandas as pd\n", + " from io import StringIO\n", + " df = pd.read_csv(StringIO(data['table_text']), delimiter='#')\n", + " pandas_eval = str(bool(eval(data['pandas_code'],{\"pd\": pd,\"df\": df})))\n", + " return True if data['pandas_eval'] == str(pandas_eval) else False\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "fea0cca3-4aa4-4f32-be60-9b8f9f254281", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "88220 88223 0.9999659952620065\n" + ] + } + ], + "source": [ + "print(corrects, total, corrects / total)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "9aa9bff2-1d28-49df-8581-8af3813a2b6b", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8d29afe1c00843be8a7f3f1f8ed3eb1d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Filter (num_proc=17): 0%| | 0/88223 [00:00:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", + ":1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Parsing dates in %d / %m / %Y format when dayfirst=False (the default) was specified. Pass `dayfirst=True` or specify a format to silence this warning.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: The behavior of Series.idxmin with all-NA values, or any-NA and skipna=False, is deprecated. In a future version this will raise ValueError\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: RuntimeWarning: invalid value encountered in scalar subtract\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Parsing dates in %d / %m / %Y format when dayfirst=False (the default) was specified. Pass `dayfirst=True` or specify a format to silence this warning.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: RuntimeWarning: invalid value encountered in scalar divide\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + ":1: FutureWarning: Series.bool is now deprecated and will be removed in future version of pandas\n" + ] + } + ], + "source": [ + "d = dataset.filter(run_filter,num_proc=17)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f66aa677-1f87-4e5e-886e-40b65bc1ca7b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "fd7d2a44-3994-45e1-be1c-ed372d348555", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'table_csv', 'table_text', 'label', 'statement', 'table_caption', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_datatype_exampples_description_top1_tresh50', 'semtab_xml_attributes_exampples_description_top1_tresh50', 'semtab_xml_attributes_description_top1_tresh50', 'semtab_xml_attributes_top1_tresh50', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50', 'semtab_xml_elements_exampples_description_top1_tresh50', 'semtab_xml_elements_description_top1_tresh50', 'semtab_xml_elements_top1_tresh50', 'semtab_xml_attributes_top1_tresh50_answ', 'semtab_xml_attributes_top1_tresh50_label', 'semtab_xml_attributes_top1_tresh50_answ_correct', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_semantic_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_label', 'semtab_xml_elements_datatype_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_exampples_description_top1_tresh50_answ', 'semtab_xml_elements_exampples_description_top1_tresh50_label', 'semtab_xml_elements_exampples_description_top1_tresh50_answ_correct', 'semtab_xml_elements_description_top1_tresh50_answ', 'semtab_xml_elements_description_top1_tresh50_label', 'semtab_xml_elements_description_top1_tresh50_answ_correct', 'semtab_xml_elements_top1_tresh50_answ', 'semtab_xml_elements_top1_tresh50_label', 'semtab_xml_elements_top1_tresh50_answ_correct', '__index_level_0__'],\n", + " num_rows: 1695\n", + "})" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "utab = load_from_disk('tab_fact_test_unique_tables')\n", + "utab" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "94ae1341-e5bf-4083-899c-48f82f57d0d9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "
          place
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          table_csvtable_textlabelstatementtable_caption
          02-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1haroldo be mention as a brazil scorer for 2 di...1919 in brazilian football
          12-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...14 of the 5 game be for the south american cham...1919 in brazilian football
          22-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1friedenreich be mention as a brazil scorer for...1919 in brazilian football
          32-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1there be 2 different game where the highest sc...1919 in brazilian football
          42-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...14 of the 5 game be play in may 19191919 in brazilian football
          ..................
          922781-20861261-4.html.csvround#choice#player#position#height#weight#col...1jerraud power , 192 pound (87 kg) , be choose ...2009 indianapolis colts season
          922791-20861261-4.html.csvround#choice#player#position#height#weight#col...0terrence taylor play for auburn2009 indianapolis colts season
          922801-20861261-4.html.csvround#choice#player#position#height#weight#col...0curtis painter 's position be quarterback and ...2009 indianapolis colts season
          922811-20861261-4.html.csvround#choice#player#position#height#weight#col...0the player who weigh the most play in round 32009 indianapolis colts season
          922821-28578233-1.html.csvime exchange (including spot , credit and forw...1for 2007 / 08 , metal - volume (thousand tons)...iran mercantile exchange
          \n", + "

          92283 rows × 5 columns

          \n", + "" + ], + "text/plain": [ + " table_csv \\\n", + "0 2-15401676-3.html.csv \n", + "1 2-15401676-3.html.csv \n", + "2 2-15401676-3.html.csv \n", + "3 2-15401676-3.html.csv \n", + "4 2-15401676-3.html.csv \n", + "... ... \n", + "92278 1-20861261-4.html.csv \n", + "92279 1-20861261-4.html.csv \n", + "92280 1-20861261-4.html.csv \n", + "92281 1-20861261-4.html.csv \n", + "92282 1-28578233-1.html.csv \n", + "\n", + " table_text label \\\n", + "0 date#result#score#brazil scorers#competition\\n... 1 \n", + "1 date#result#score#brazil scorers#competition\\n... 1 \n", + "2 date#result#score#brazil scorers#competition\\n... 1 \n", + "3 date#result#score#brazil scorers#competition\\n... 1 \n", + "4 date#result#score#brazil scorers#competition\\n... 1 \n", + "... ... ... \n", + "92278 round#choice#player#position#height#weight#col... 1 \n", + "92279 round#choice#player#position#height#weight#col... 0 \n", + "92280 round#choice#player#position#height#weight#col... 0 \n", + "92281 round#choice#player#position#height#weight#col... 0 \n", + "92282 ime exchange (including spot , credit and forw... 1 \n", + "\n", + " statement \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 \n", + "... ... \n", + "92278 jerraud power , 192 pound (87 kg) , be choose ... \n", + "92279 terrence taylor play for auburn \n", + "92280 curtis painter 's position be quarterback and ... \n", + "92281 the player who weigh the most play in round 3 \n", + "92282 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " table_caption \n", + "0 1919 in brazilian football \n", + "1 1919 in brazilian football \n", + "2 1919 in brazilian football \n", + "3 1919 in brazilian football \n", + "4 1919 in brazilian football \n", + "... ... \n", + "92278 2009 indianapolis colts season \n", + "92279 2009 indianapolis colts season \n", + "92280 2009 indianapolis colts season \n", + "92281 2009 indianapolis colts season \n", + "92282 iran mercantile exchange \n", + "\n", + "[92283 rows x 5 columns]" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d2 = load_from_disk('tab_fact_train')\n", + "dd2 = d2.to_pandas()\n", + "dd2 = dd2[['table_csv','table_text','label','statement','table_caption']]\n", + "dd2" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "4e7f2d50-5583-49cd-81cf-299d7bb7d56a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          statementtable_textpandas_codepandas_eval
          0haroldo be mention as a brazil scorer for 2 di...date#result#score#brazil scorers#competition\\n...df['brazil scorers'].apply(lambda x: 'haroldo'...True
          14 of the 5 game be for the south american cham...date#result#score#brazil scorers#competition\\n...(df['competition'].value_counts()['south ameri...True
          2friedenreich be mention as a brazil scorer for...date#result#score#brazil scorers#competition\\n...df['brazil scorers'].str.contains('friedenreic...True
          3there be 2 different game where the highest sc...date#result#score#brazil scorers#competition\\n...len(df[df['score'].str.extract(r'^(\\d+) - \\d+$...True
          44 of the 5 game be play in may 1919date#result#score#brazil scorers#competition\\n...(df['date'].str.contains('may') & df['date'].s...True
          ...............
          88215jerraud power , 192 pound (87 kg) , be choose ...round#choice#player#position#height#weight#col...df[(df['player'] == 'jerraud powers') & (df['w...True
          88216terrence taylor play for auburnround#choice#player#position#height#weight#col...df[df['player'] == 'terrance taylor']['college...False
          88217curtis painter 's position be quarterback and ...round#choice#player#position#height#weight#col...(df[df['player'] == 'curtis painter']['positio...False
          88218the player who weigh the most play in round 3round#choice#player#position#height#weight#col...(df.loc[df['weight'].str.extract('(\\\\d+)').ast...False
          88219for 2007 / 08 , metal - volume (thousand tons)...ime exchange (including spot , credit and forw...df.loc[df['ime exchange (including spot , cred...True
          \n", + "

          88220 rows × 4 columns

          \n", + "
          " + ], + "text/plain": [ + " statement \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 \n", + "... ... \n", + "88215 jerraud power , 192 pound (87 kg) , be choose ... \n", + "88216 terrence taylor play for auburn \n", + "88217 curtis painter 's position be quarterback and ... \n", + "88218 the player who weigh the most play in round 3 \n", + "88219 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " table_text \\\n", + "0 date#result#score#brazil scorers#competition\\n... \n", + "1 date#result#score#brazil scorers#competition\\n... \n", + "2 date#result#score#brazil scorers#competition\\n... \n", + "3 date#result#score#brazil scorers#competition\\n... \n", + "4 date#result#score#brazil scorers#competition\\n... \n", + "... ... \n", + "88215 round#choice#player#position#height#weight#col... \n", + "88216 round#choice#player#position#height#weight#col... \n", + "88217 round#choice#player#position#height#weight#col... \n", + "88218 round#choice#player#position#height#weight#col... \n", + "88219 ime exchange (including spot , credit and forw... \n", + "\n", + " pandas_code pandas_eval \n", + "0 df['brazil scorers'].apply(lambda x: 'haroldo'... True \n", + "1 (df['competition'].value_counts()['south ameri... True \n", + "2 df['brazil scorers'].str.contains('friedenreic... True \n", + "3 len(df[df['score'].str.extract(r'^(\\d+) - \\d+$... True \n", + "4 (df['date'].str.contains('may') & df['date'].s... True \n", + "... ... ... \n", + "88215 df[(df['player'] == 'jerraud powers') & (df['w... True \n", + "88216 df[df['player'] == 'terrance taylor']['college... False \n", + "88217 (df[df['player'] == 'curtis painter']['positio... False \n", + "88218 (df.loc[df['weight'].str.extract('(\\\\d+)').ast... False \n", + "88219 df.loc[df['ime exchange (including spot , cred... True \n", + "\n", + "[88220 rows x 4 columns]" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dd = d.to_pandas()\n", + "dd = dd[['statement','table_text','pandas_code','pandas_eval']]\n", + "dd" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "da5c8439-41b6-4344-a454-001e9736f1bc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          idtable_csvtable_textlabelstatementtable_caption
          002-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1haroldo be mention as a brazil scorer for 2 di...1919 in brazilian football
          102-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...14 of the 5 game be for the south american cham...1919 in brazilian football
          202-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1friedenreich be mention as a brazil scorer for...1919 in brazilian football
          302-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1there be 2 different game where the highest sc...1919 in brazilian football
          402-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...14 of the 5 game be play in may 19191919 in brazilian football
          .....................
          92278131801-20861261-4.html.csvround#choice#player#position#height#weight#col...1jerraud power , 192 pound (87 kg) , be choose ...2009 indianapolis colts season
          92279131801-20861261-4.html.csvround#choice#player#position#height#weight#col...0terrence taylor play for auburn2009 indianapolis colts season
          92280131801-20861261-4.html.csvround#choice#player#position#height#weight#col...0curtis painter 's position be quarterback and ...2009 indianapolis colts season
          92281131801-20861261-4.html.csvround#choice#player#position#height#weight#col...0the player who weigh the most play in round 32009 indianapolis colts season
          92282131811-28578233-1.html.csvime exchange (including spot , credit and forw...1for 2007 / 08 , metal - volume (thousand tons)...iran mercantile exchange
          \n", + "

          92283 rows × 6 columns

          \n", + "
          " + ], + "text/plain": [ + " id table_csv \\\n", + "0 0 2-15401676-3.html.csv \n", + "1 0 2-15401676-3.html.csv \n", + "2 0 2-15401676-3.html.csv \n", + "3 0 2-15401676-3.html.csv \n", + "4 0 2-15401676-3.html.csv \n", + "... ... ... \n", + "92278 13180 1-20861261-4.html.csv \n", + "92279 13180 1-20861261-4.html.csv \n", + "92280 13180 1-20861261-4.html.csv \n", + "92281 13180 1-20861261-4.html.csv \n", + "92282 13181 1-28578233-1.html.csv \n", + "\n", + " table_text label \\\n", + "0 date#result#score#brazil scorers#competition\\n... 1 \n", + "1 date#result#score#brazil scorers#competition\\n... 1 \n", + "2 date#result#score#brazil scorers#competition\\n... 1 \n", + "3 date#result#score#brazil scorers#competition\\n... 1 \n", + "4 date#result#score#brazil scorers#competition\\n... 1 \n", + "... ... ... \n", + "92278 round#choice#player#position#height#weight#col... 1 \n", + "92279 round#choice#player#position#height#weight#col... 0 \n", + "92280 round#choice#player#position#height#weight#col... 0 \n", + "92281 round#choice#player#position#height#weight#col... 0 \n", + "92282 ime exchange (including spot , credit and forw... 1 \n", + "\n", + " statement \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 \n", + "... ... \n", + "92278 jerraud power , 192 pound (87 kg) , be choose ... \n", + "92279 terrence taylor play for auburn \n", + "92280 curtis painter 's position be quarterback and ... \n", + "92281 the player who weigh the most play in round 3 \n", + "92282 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " table_caption \n", + "0 1919 in brazilian football \n", + "1 1919 in brazilian football \n", + "2 1919 in brazilian football \n", + "3 1919 in brazilian football \n", + "4 1919 in brazilian football \n", + "... ... \n", + "92278 2009 indianapolis colts season \n", + "92279 2009 indianapolis colts season \n", + "92280 2009 indianapolis colts season \n", + "92281 2009 indianapolis colts season \n", + "92282 iran mercantile exchange \n", + "\n", + "[92283 rows x 6 columns]" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dd2" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "4ac11352-edf1-4e8f-9320-f85968ccb88f", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "dd3a0f73-e7ef-4b32-83fb-5bd918f161dd", + "metadata": {}, + "outputs": [], + "source": [ + "res = pd.merge(dd, dd2, on=['table_text', 'statement'], how='inner')" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "0219d1de-6881-4315-8a40-ad09ac2f0e75", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          statementtable_textpandas_codepandas_evalidtable_csvlabeltable_caption
          0haroldo be mention as a brazil scorer for 2 di...date#result#score#brazil scorers#competition\\n...df['brazil scorers'].apply(lambda x: 'haroldo'...True02-15401676-3.html.csv11919 in brazilian football
          14 of the 5 game be for the south american cham...date#result#score#brazil scorers#competition\\n...(df['competition'].value_counts()['south ameri...True02-15401676-3.html.csv11919 in brazilian football
          2friedenreich be mention as a brazil scorer for...date#result#score#brazil scorers#competition\\n...df['brazil scorers'].str.contains('friedenreic...True02-15401676-3.html.csv11919 in brazilian football
          3there be 2 different game where the highest sc...date#result#score#brazil scorers#competition\\n...len(df[df['score'].str.extract(r'^(\\d+) - \\d+$...True02-15401676-3.html.csv11919 in brazilian football
          44 of the 5 game be play in may 1919date#result#score#brazil scorers#competition\\n...(df['date'].str.contains('may') & df['date'].s...True02-15401676-3.html.csv11919 in brazilian football
          ...........................
          88729jerraud power , 192 pound (87 kg) , be choose ...round#choice#player#position#height#weight#col...df[(df['player'] == 'jerraud powers') & (df['w...True131801-20861261-4.html.csv12009 indianapolis colts season
          88730terrence taylor play for auburnround#choice#player#position#height#weight#col...df[df['player'] == 'terrance taylor']['college...False131801-20861261-4.html.csv02009 indianapolis colts season
          88731curtis painter 's position be quarterback and ...round#choice#player#position#height#weight#col...(df[df['player'] == 'curtis painter']['positio...False131801-20861261-4.html.csv02009 indianapolis colts season
          88732the player who weigh the most play in round 3round#choice#player#position#height#weight#col...(df.loc[df['weight'].str.extract('(\\\\d+)').ast...False131801-20861261-4.html.csv02009 indianapolis colts season
          88733for 2007 / 08 , metal - volume (thousand tons)...ime exchange (including spot , credit and forw...df.loc[df['ime exchange (including spot , cred...True131811-28578233-1.html.csv1iran mercantile exchange
          \n", + "

          88734 rows × 8 columns

          \n", + "
          " + ], + "text/plain": [ + " statement \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 \n", + "... ... \n", + "88729 jerraud power , 192 pound (87 kg) , be choose ... \n", + "88730 terrence taylor play for auburn \n", + "88731 curtis painter 's position be quarterback and ... \n", + "88732 the player who weigh the most play in round 3 \n", + "88733 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " table_text \\\n", + "0 date#result#score#brazil scorers#competition\\n... \n", + "1 date#result#score#brazil scorers#competition\\n... \n", + "2 date#result#score#brazil scorers#competition\\n... \n", + "3 date#result#score#brazil scorers#competition\\n... \n", + "4 date#result#score#brazil scorers#competition\\n... \n", + "... ... \n", + "88729 round#choice#player#position#height#weight#col... \n", + "88730 round#choice#player#position#height#weight#col... \n", + "88731 round#choice#player#position#height#weight#col... \n", + "88732 round#choice#player#position#height#weight#col... \n", + "88733 ime exchange (including spot , credit and forw... \n", + "\n", + " pandas_code pandas_eval id \\\n", + "0 df['brazil scorers'].apply(lambda x: 'haroldo'... True 0 \n", + "1 (df['competition'].value_counts()['south ameri... True 0 \n", + "2 df['brazil scorers'].str.contains('friedenreic... True 0 \n", + "3 len(df[df['score'].str.extract(r'^(\\d+) - \\d+$... True 0 \n", + "4 (df['date'].str.contains('may') & df['date'].s... True 0 \n", + "... ... ... ... \n", + "88729 df[(df['player'] == 'jerraud powers') & (df['w... True 13180 \n", + "88730 df[df['player'] == 'terrance taylor']['college... False 13180 \n", + "88731 (df[df['player'] == 'curtis painter']['positio... False 13180 \n", + "88732 (df.loc[df['weight'].str.extract('(\\\\d+)').ast... False 13180 \n", + "88733 df.loc[df['ime exchange (including spot , cred... True 13181 \n", + "\n", + " table_csv label table_caption \n", + "0 2-15401676-3.html.csv 1 1919 in brazilian football \n", + "1 2-15401676-3.html.csv 1 1919 in brazilian football \n", + "2 2-15401676-3.html.csv 1 1919 in brazilian football \n", + "3 2-15401676-3.html.csv 1 1919 in brazilian football \n", + "4 2-15401676-3.html.csv 1 1919 in brazilian football \n", + "... ... ... ... \n", + "88729 1-20861261-4.html.csv 1 2009 indianapolis colts season \n", + "88730 1-20861261-4.html.csv 0 2009 indianapolis colts season \n", + "88731 1-20861261-4.html.csv 0 2009 indianapolis colts season \n", + "88732 1-20861261-4.html.csv 0 2009 indianapolis colts season \n", + "88733 1-28578233-1.html.csv 1 iran mercantile exchange \n", + "\n", + "[88734 rows x 8 columns]" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "res" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "169560e2-4841-456c-85c4-bc5dfe1c6b74", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Количество строк с дублирующимися ключами в dd2: 518\n" + ] + } + ], + "source": [ + "duplicates_dd2 = dd2.duplicated(subset=['table_text', 'statement'], keep=False).sum()\n", + "print(f\"Количество строк с дублирующимися ключами в dd2: {duplicates_dd2}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "e097b986-e614-44f5-9fe4-ff6e2988fc14", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          table_csvtable_textlabelstatementtable_caption
          02-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1haroldo be mention as a brazil scorer for 2 di...1919 in brazilian football
          12-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...14 of the 5 game be for the south american cham...1919 in brazilian football
          22-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1friedenreich be mention as a brazil scorer for...1919 in brazilian football
          32-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1there be 2 different game where the highest sc...1919 in brazilian football
          42-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...14 of the 5 game be play in may 19191919 in brazilian football
          ..................
          922781-20861261-4.html.csvround#choice#player#position#height#weight#col...1jerraud power , 192 pound (87 kg) , be choose ...2009 indianapolis colts season
          922791-20861261-4.html.csvround#choice#player#position#height#weight#col...0terrence taylor play for auburn2009 indianapolis colts season
          922801-20861261-4.html.csvround#choice#player#position#height#weight#col...0curtis painter 's position be quarterback and ...2009 indianapolis colts season
          922811-20861261-4.html.csvround#choice#player#position#height#weight#col...0the player who weigh the most play in round 32009 indianapolis colts season
          922821-28578233-1.html.csvime exchange (including spot , credit and forw...1for 2007 / 08 , metal - volume (thousand tons)...iran mercantile exchange
          \n", + "

          92022 rows × 5 columns

          \n", + "
          " + ], + "text/plain": [ + " table_csv \\\n", + "0 2-15401676-3.html.csv \n", + "1 2-15401676-3.html.csv \n", + "2 2-15401676-3.html.csv \n", + "3 2-15401676-3.html.csv \n", + "4 2-15401676-3.html.csv \n", + "... ... \n", + "92278 1-20861261-4.html.csv \n", + "92279 1-20861261-4.html.csv \n", + "92280 1-20861261-4.html.csv \n", + "92281 1-20861261-4.html.csv \n", + "92282 1-28578233-1.html.csv \n", + "\n", + " table_text label \\\n", + "0 date#result#score#brazil scorers#competition\\n... 1 \n", + "1 date#result#score#brazil scorers#competition\\n... 1 \n", + "2 date#result#score#brazil scorers#competition\\n... 1 \n", + "3 date#result#score#brazil scorers#competition\\n... 1 \n", + "4 date#result#score#brazil scorers#competition\\n... 1 \n", + "... ... ... \n", + "92278 round#choice#player#position#height#weight#col... 1 \n", + "92279 round#choice#player#position#height#weight#col... 0 \n", + "92280 round#choice#player#position#height#weight#col... 0 \n", + "92281 round#choice#player#position#height#weight#col... 0 \n", + "92282 ime exchange (including spot , credit and forw... 1 \n", + "\n", + " statement \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 \n", + "... ... \n", + "92278 jerraud power , 192 pound (87 kg) , be choose ... \n", + "92279 terrence taylor play for auburn \n", + "92280 curtis painter 's position be quarterback and ... \n", + "92281 the player who weigh the most play in round 3 \n", + "92282 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " table_caption \n", + "0 1919 in brazilian football \n", + "1 1919 in brazilian football \n", + "2 1919 in brazilian football \n", + "3 1919 in brazilian football \n", + "4 1919 in brazilian football \n", + "... ... \n", + "92278 2009 indianapolis colts season \n", + "92279 2009 indianapolis colts season \n", + "92280 2009 indianapolis colts season \n", + "92281 2009 indianapolis colts season \n", + "92282 iran mercantile exchange \n", + "\n", + "[92022 rows x 5 columns]" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dd2_unique = dd2.drop_duplicates(subset=['table_text', 'statement'])\n", + "dd2_unique" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "b9e5dfb6-eef2-4bc2-8409-ba43ac2da294", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          statementtable_textpandas_codepandas_eval
          0haroldo be mention as a brazil scorer for 2 di...date#result#score#brazil scorers#competition\\n...df['brazil scorers'].apply(lambda x: 'haroldo'...True
          14 of the 5 game be for the south american cham...date#result#score#brazil scorers#competition\\n...(df['competition'].value_counts()['south ameri...True
          2friedenreich be mention as a brazil scorer for...date#result#score#brazil scorers#competition\\n...df['brazil scorers'].str.contains('friedenreic...True
          3there be 2 different game where the highest sc...date#result#score#brazil scorers#competition\\n...len(df[df['score'].str.extract(r'^(\\d+) - \\d+$...True
          44 of the 5 game be play in may 1919date#result#score#brazil scorers#competition\\n...(df['date'].str.contains('may') & df['date'].s...True
          ...............
          88215jerraud power , 192 pound (87 kg) , be choose ...round#choice#player#position#height#weight#col...df[(df['player'] == 'jerraud powers') & (df['w...True
          88216terrence taylor play for auburnround#choice#player#position#height#weight#col...df[df['player'] == 'terrance taylor']['college...False
          88217curtis painter 's position be quarterback and ...round#choice#player#position#height#weight#col...(df[df['player'] == 'curtis painter']['positio...False
          88218the player who weigh the most play in round 3round#choice#player#position#height#weight#col...(df.loc[df['weight'].str.extract('(\\\\d+)').ast...False
          88219for 2007 / 08 , metal - volume (thousand tons)...ime exchange (including spot , credit and forw...df.loc[df['ime exchange (including spot , cred...True
          \n", + "

          87974 rows × 4 columns

          \n", + "
          " + ], + "text/plain": [ + " statement \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 \n", + "... ... \n", + "88215 jerraud power , 192 pound (87 kg) , be choose ... \n", + "88216 terrence taylor play for auburn \n", + "88217 curtis painter 's position be quarterback and ... \n", + "88218 the player who weigh the most play in round 3 \n", + "88219 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " table_text \\\n", + "0 date#result#score#brazil scorers#competition\\n... \n", + "1 date#result#score#brazil scorers#competition\\n... \n", + "2 date#result#score#brazil scorers#competition\\n... \n", + "3 date#result#score#brazil scorers#competition\\n... \n", + "4 date#result#score#brazil scorers#competition\\n... \n", + "... ... \n", + "88215 round#choice#player#position#height#weight#col... \n", + "88216 round#choice#player#position#height#weight#col... \n", + "88217 round#choice#player#position#height#weight#col... \n", + "88218 round#choice#player#position#height#weight#col... \n", + "88219 ime exchange (including spot , credit and forw... \n", + "\n", + " pandas_code pandas_eval \n", + "0 df['brazil scorers'].apply(lambda x: 'haroldo'... True \n", + "1 (df['competition'].value_counts()['south ameri... True \n", + "2 df['brazil scorers'].str.contains('friedenreic... True \n", + "3 len(df[df['score'].str.extract(r'^(\\d+) - \\d+$... True \n", + "4 (df['date'].str.contains('may') & df['date'].s... True \n", + "... ... ... \n", + "88215 df[(df['player'] == 'jerraud powers') & (df['w... True \n", + "88216 df[df['player'] == 'terrance taylor']['college... False \n", + "88217 (df[df['player'] == 'curtis painter']['positio... False \n", + "88218 (df.loc[df['weight'].str.extract('(\\\\d+)').ast... False \n", + "88219 df.loc[df['ime exchange (including spot , cred... True \n", + "\n", + "[87974 rows x 4 columns]" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dd_unique = dd.drop_duplicates(subset=['table_text', 'statement'])\n", + "dd_unique" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "f088e59b-eaee-4c58-9b32-e0c1c3286e44", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['statement', 'table_text', 'pandas_code', 'pandas_eval', 'table_csv', 'label', 'table_caption'],\n", + " num_rows: 87974\n", + "})" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "res = pd.merge(dd_unique, dd2_unique, on=['table_text', 'statement'], how='inner')\n", + "res2 = Dataset.from_pandas(res)\n", + "res2" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "437eb38f-ebc1-44ce-854b-ed77ae1410fe", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "53b51c7144174ff6a2e2f92dd82dc929", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Saving the dataset (0/1 shards): 0%| | 0/87974 [00:00 pantabfact_log.txt\n", + "python add_column_defenition.py --inputdata pantab_fact_train_unique_tables_exem --outputdata pantab_fact_train_unique_tables_def --num_proc 16 &> log_pantabfact_def_add.txt" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "800e8a68-dee6-480e-afc6-2fd41d3ee764", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Количество строк с дублирующимися ключами в dd: 488\n" + ] + } + ], + "source": [ + "duplicates_dd = dd.duplicated(subset=['table_text', 'statement'], keep=False).sum()\n", + "print(f\"Количество строк с дублирующимися ключами в dd: {duplicates_dd}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "0563b4c2-5e50-4195-b801-5887c16c9b68", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9d4126b7f3f949a5a8787220b669ac8d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Saving the dataset (0/1 shards): 0%| | 0/88220 [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -399,1349 +3486,7018 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          placeplayercountryscore
          01deane bemanunited states68 + 69 = 137- 3
          1t2miller barberunited states67 + 71 = 138- 2
          2t2bob murphyunited states66 + 72 = 138- 2
          34bob rosburgunited states70 + 69 = 139- 101deane bemanunited states68 + 69 = 137- 3
          1t2miller barberunited states67 + 71 = 138- 2
          2t2bob murphyunited states66 + 72 = 138- 2
          34bob rosburgunited states70 + 69 = 139- 1
          4t5charles coodyunited states72 + 68 = 140e
          5t5al geibergerunited states68 + 72 = 140e
          6t5george knudsoncanada70 + 70 = 140e
          7t8tony jacklinengland71 + 70 = 141+ 1
          8t8johnny millerunited states71 + 70 = 141+ 1
          9t8orville moodyunited states71 + 70 = 141+ 1
          10t8jack nicklausunited states74 + 67 = 141+ 1
          \n", + "" + ], + "text/plain": [ + " place player country score to par\n", + "0 1 deane beman united states 68 + 69 = 137 - 3\n", + "1 t2 miller barber united states 67 + 71 = 138 - 2\n", + "2 t2 bob murphy united states 66 + 72 = 138 - 2\n", + "3 4 bob rosburg united states 70 + 69 = 139 - 1\n", + "4 t5 charles coody united states 72 + 68 = 140 e\n", + "5 t5 al geiberger united states 68 + 72 = 140 e\n", + "6 t5 george knudson canada 70 + 70 = 140 e\n", + "7 t8 tony jacklin england 71 + 70 = 141 + 1\n", + "8 t8 johnny miller united states 71 + 70 = 141 + 1\n", + "9 t8 orville moody united states 71 + 70 = 141 + 1\n", + "10 t8 jack nicklaus united states 74 + 67 = 141 + 1" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "a765ea6e-d141-430c-8908-c191c6a137e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(20, 20)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f369b1d6-3aea-49c9-a5c2-bd221d8f8cc1", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Some weights of BertForMultiOutputClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']\n", + "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" + ] + } + ], + "source": [ + "model = \"viznet\"\n", + "device = 'cuda'\n", + "model = Doduo(argparse.Namespace(**{'model': model, 'device': device}),basedir='../utils/doduo/')\n", + "tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "4bbe64b5-ba9b-4d8a-b084-2e7ff9c09fdc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " table_id label_ids data\n", + "0 1 0 grand slams australian open french open wimble...\n", + "1 1 0 grand slams a a a a 0 / 0 0 - 0 atp masters se...\n", + "2 1 0 grand slams 1r a a a 0 / 1 0 - 1 atp masters s...\n", + "3 1 0 grand slams 2r a 1r a 0 / 2 1 - 2 atp masters ...\n", + "4 1 0 grand slams 1r 3r 2r 3r 0 / 4 5 - 4 atp master...\n", + "5 1 0 grand slams 1r 3r 3r 2r 0 / 4 5 - 4 atp master...\n", + "6 1 0 grand slams 2r 3r 2r qf 0 / 4 8 - 4 atp master...\n", + "7 1 0 grand slams 1r sf 1r 1r 0 / 4 5 - 4 atp master...\n", + "8 1 0 grand slams 4r 4r a a 0 / 2 5 - 2 atp masters ...\n", + "9 1 0 grand slams 3r 1r 2r 1r 0 / 4 3 - 4 atp master...\n", + "10 1 0 grand slams 2r 3r a qf 0 / 3 7 - 3 atp masters...\n", + "11 1 0 grand slams 1r 1r 4r qf 0 / 4 7 - 4 atp master...\n", + "12 1 0 grand slams a 2r 1r 3r 0 / 3 3 - 3 atp masters...\n", + "13 1 0 grand slams a a a a 0 / 0 0 - 0 atp masters se...\n", + "14 1 0 grand slams a 3r 3r 1r 0 / 3 4 - 3 atp masters...\n", + "15 1 0 grand slams a lq 1r lq 0 / 1 0 - 1 atp masters...\n", + "16 1 0 grand slams 1r a a a 0 / 1 0 - 1 atp masters s...\n", + "17 1 0 grand slams a a a a 0 / 0 0 - 0 atp masters se...\n", + "18 1 0 grand slams 0 / 11 0 / 10 0 / 10 0 / 9 0 / 40 ...\n", + "19 1 0 grand slams 7 - 11 19 - 10 10 - 10 17 - 9 n / ...\n", + "1\n" + ] + } + ], + "source": [ + "p = DFColTypeTablewiseDataset(df, tokenizer)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "15583e59-48a1-4774-9946-aded1ba90821", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "679" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(p.table_df['data_tensor'].to_list()[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "fea24927-fbc6-48c2-acc1-063ecbfeb47f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " table_id label_ids data\n", + "0 1 0 1 t2 t2 4 t5 t5 t5 t8 t8 t8 t8\n", + "1 1 0 deane beman miller barber bob murphy bob rosbu...\n", + "2 1 0 united states united states united states unit...\n", + "3 1 0 68 + 69 = 137 67 + 71 = 138 66 + 72 = 138 70 +...\n", + "4 1 0 - 3 - 2 - 2 - 1 e e e + 1 + 1 + 1 + 1\n", + "1\n", + "data torch.Size([1, 133])\n" + ] + }, + { + "data": { + "text/plain": [ + "'magnus larsson
          placerank - 1.0\"str\"0[\"4\", \"t5\", \"t8\"]
          playername - 1.0\"str\"0[\"tony jacklin\", \"deane beman\", \"george knudson\"]
          countrynationality - 1.0\"str\"0[\"england\", \"united states\", \"united states\"]
          scoreweight - 0.98\"str\"0[\"68 + 69 = 137\", \"68 + 72 = 140\", \"70 + 70 = 140\"]
          to parsex - 0.65\"str\"0[\"+ 1\", \"- 3\", \"e\"]
          '" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "serialize_table(df,description=dataset[7747]['table_caption'],model=model)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "d9de7813-20c8-41e1-91d5-10dccf153f9e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'id': 0,\n", + " 'statement': 'haroldo be mention as a brazil scorer for 2 different game',\n", + " 'label': 1,\n", + " 'table_caption': '1919 in brazilian football',\n", + " 'table_text': 'date#result#score#brazil scorers#competition\\nmay 11 , 1919#w#6 - 0#friedenreich (3) , neco (2) , haroldo#south american championship\\nmay 18 , 1919#w#3 - 1#heitor , amílcar , millon#south american championship\\nmay 26 , 1919#d#2 - 2#neco (2)#south american championship\\nmay 29 , 1919#w#1 - 0#friedenreich#south american championship\\njune 1 , 1919#d#3 - 3#haroldo , arlindo (2)#taça roberto cherry\\n',\n", + " 'pandas_code': \"df['brazil scorers'].apply(lambda x: 'haroldo' in x).sum() == 2\",\n", + " 'pandas_eval': 'True'}" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "{'id': 0,\n", + " 'statement': 'haroldo be mention as a brazil scorer for 2 different game',\n", + " 'label': 1,\n", + " 'table_caption': '1919 in brazilian football',\n", + " 'table_text': 'date#result#score#brazil scorers#competition\\nmay 11 , 1919#w#6 - 0#friedenreich (3) , neco (2) , haroldo#south american championship\\nmay 18 , 1919#w#3 - 1#heitor , amílcar , millon#south american championship\\nmay 26 , 1919#d#2 - 2#neco (2)#south american championship\\nmay 29 , 1919#w#1 - 0#friedenreich#south american championship\\njune 1 , 1919#d#3 - 3#haroldo , arlindo (2)#taça roberto cherry\\n',\n", + " 'pandas_code': \"df['brazil scorers'].apply(lambda x: 'haroldo' in x).sum() == 2\",\n", + " 'pandas_eval': 'True'}\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "01e6b976-836f-409c-873a-0ef4ebd819ba", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests'" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pwd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "53d437d9-89e0-4b77-930a-627430530498", + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'utils'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 5\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mio\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m StringIO\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mtqdm\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m tqdm\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mutils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m serialize_table\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mutils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdoduo\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdoduo\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m Doduo\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01margparse\u001b[39;00m\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'utils'" + ] + } + ], + "source": [ + "import json\n", + "import pandas as pd\n", + "from io import StringIO\n", + "from tqdm import tqdm\n", + "from utils.utils import serialize_table\n", + "from utils.doduo.doduo import Doduo\n", + "import argparse\n", + "from functools import partial\n", + "\n", + "def convert_dataset_to_nlsep_format(model,data):\n", + " df = pd.read_csv(StringIO(data['table_text']), delimiter='#')\n", + " data['nlsep_query'] = data['statement'] + ' ' + serialize_table_to_tapex_format(df)\n", + " data['semtab_query'] = data['statement'] + ' ' + serialize_table(df,model=model, description=data['table_caption'],basedir='../utils/doduo/')\n", + " return data\n" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "8a50d816-3284-4e2e-b658-2d3427f05a8f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Some weights of BertForMultiOutputClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']\n", + "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" + ] + } + ], + "source": [ + "model_type = \"viznet\"\n", + "device = 'cpu'\n", + "model = Doduo(argparse.Namespace(**{'model': model_type, 'device': device}),basedir='../utils/doduo/')\n", + "doduo_convert_dataset_to_nlsep_format = partial(convert_dataset_to_nlsep_format,model)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "8fb78845-833a-4204-9378-9036b45aa487", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "47d94724-2e8f-4068-a593-8ed82f0538c2", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'doduo_convert_dataset_to_nlsep_format' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[7], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m dataset2 \u001b[38;5;241m=\u001b[39m dataset\u001b[38;5;241m.\u001b[39mmap(\u001b[43mdoduo_convert_dataset_to_nlsep_format\u001b[49m)\n\u001b[1;32m 2\u001b[0m dataset2\u001b[38;5;241m.\u001b[39msave_to_disk(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m./new_dataset\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", + "\u001b[0;31mNameError\u001b[0m: name 'doduo_convert_dataset_to_nlsep_format' is not defined" + ] + } + ], + "source": [ + "dataset2 = dataset.map(doduo_convert_dataset_to_nlsep_format)\n", + "dataset2.save_to_disk('./new_dataset')" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "fca864c2-b96f-4628-87ce-930fc4aa3acf", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving the dataset (1/1 shards): 100%|██████████| 88223/88223 [00:00<00:00, 549715.04 examples/s]\n" + ] + } + ], + "source": [ + "dataset2.save_to_disk('./new_dataset')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8757a358-ed02-430d-9232-9bd3f468ea45", + "metadata": {}, + "outputs": [], + "source": [ + "from datasets import load_from_disk" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "bb41e940-dd62-46ad-8916-54701b0a72b1", + "metadata": {}, + "outputs": [], + "source": [ + "data = load_from_disk('new_dataset')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "afb0fe7e-d90f-4dc0-80c7-5a08a3c95462", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['id', 'statement', 'label', 'table_caption', 'table_text', 'pandas_code', 'pandas_eval', 'nlsep_query', 'semtab_query'],\n", + " num_rows: 88223\n", + "})" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "98bb02d7-1a3f-4d27-8483-cad70edd1d41", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Filter: 100%|██████████| 88223/88223 [00:00<00:00, 107486.06 examples/s]\n" + ] + } + ], + "source": [ + "data_false = data.filter(lambda x: True if x['semtab_query']=='None' else False)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "687f6e57-fac8-4d21-bf55-379e07e98e24", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/bin/python\n" + ] + } + ], + "source": [ + "import sys\n", + "print(sys.executable)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "c1a94c7a-4dc3-4976-adf2-6be48af01691", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.12128356551012774" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_false.shape[0]/data.shape[0] *100" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "44327594-d45c-4c02-8106-3a76152009b6", + "metadata": {}, + "outputs": [], + "source": [ + "data_true = data.filter(lambda x: True if x['semtab_query']!='None' else False)" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "494e8f05-4350-4fef-9eac-ecf32d473651", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving the dataset (1/1 shards): 100%|██████████| 88116/88116 [00:00<00:00, 96170.74 examples/s]\n" + ] + } + ], + "source": [ + "data_true.save_to_disk('none_filtered_new_dataset')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e6f22813-38be-4b5a-89ae-a4b578656c26", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "bc9dcfa8-fc0b-4682-a564-313a4270bb87", + "metadata": {}, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "Directory none_filtered_new_dataset not found", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[101], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m entry[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mproto_query\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mentry[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstatement\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mentry[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtable_text\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m entry\n\u001b[0;32m----> 4\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[43mload_from_disk\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mnone_filtered_new_dataset\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m data2 \u001b[38;5;241m=\u001b[39m data\u001b[38;5;241m.\u001b[39mmap(name_proto_query,num_proc\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m17\u001b[39m)\n", + "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/datasets/load.py:1471\u001b[0m, in \u001b[0;36mload_from_disk\u001b[0;34m(dataset_path, keep_in_memory, storage_options)\u001b[0m\n\u001b[1;32m 1469\u001b[0m fs, \u001b[38;5;241m*\u001b[39m_ \u001b[38;5;241m=\u001b[39m url_to_fs(dataset_path, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m(storage_options \u001b[38;5;129;01mor\u001b[39;00m {}))\n\u001b[1;32m 1470\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m fs\u001b[38;5;241m.\u001b[39mexists(dataset_path):\n\u001b[0;32m-> 1471\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDirectory \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdataset_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1472\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m fs\u001b[38;5;241m.\u001b[39misfile(posixpath\u001b[38;5;241m.\u001b[39mjoin(dataset_path, config\u001b[38;5;241m.\u001b[39mDATASET_INFO_FILENAME)) \u001b[38;5;129;01mand\u001b[39;00m fs\u001b[38;5;241m.\u001b[39misfile(\n\u001b[1;32m 1473\u001b[0m posixpath\u001b[38;5;241m.\u001b[39mjoin(dataset_path, config\u001b[38;5;241m.\u001b[39mDATASET_STATE_JSON_FILENAME)\n\u001b[1;32m 1474\u001b[0m ):\n\u001b[1;32m 1475\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m Dataset\u001b[38;5;241m.\u001b[39mload_from_disk(dataset_path, keep_in_memory\u001b[38;5;241m=\u001b[39mkeep_in_memory, storage_options\u001b[38;5;241m=\u001b[39mstorage_options)\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: Directory none_filtered_new_dataset not found" + ] + } + ], + "source": [ + "def name_proto_query(entry):\n", + " entry['proto_query'] = f'{entry[\"statement\"]} {entry[\"table_text\"]}'\n", + " return entry\n", + "data = load_from_disk('none_filtered_new_dataset')\n", + "data2 = data.map(name_proto_query,num_proc=17)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ae5a5b67-80cd-4bed-bfac-2760e4720265", + "metadata": {}, + "outputs": [], + "source": [ + "data = load_from_disk('tab_fact_test_nlsep/')\n", + "data_nlsep = data.to_pandas()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2563c4c3-fe8d-4d14-9b18-fd2f92c69fe1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          idtable_csvtable_textlabelstatementtable_captiondefgendefgen_answdefgen_labeldefgen_answ_correct
          002-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema be in the top 5 for the master tourn...tony lema<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...\\n\"PANDA\": df.loc[df['tournament'].isin(['mast...TrueNone
          102-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tournament that tony lema have participate in ...tony lema<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...\"PANDA\": all(tournament in df['tournament'].va...NoneNone
          202-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1the only tournament that tony lema win in be t...tony lema<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...\\n\"PANDA\": df[df['wins'] == 1]['tournament'].e...FalseNone
          302-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema do not win in the us opentony lema<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...\\n\"PANDA\": df.loc[df['tournament'] == 'us open...TrueNone
          402-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema make it to the top 10 in the pga cha...tony lema<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...\"PANDA\": df.loc[df['tournament'] == 'pga champ...TrueNone
          .................................
          1277416931-182499-1.html.csvenzyme#location#substrate#product#chromosome#e...0the location of substrate porphobilinogen and ...porphyrin<TABLE DESCRIPTION=\"porphyrin\"><HEADER NAME=\"e...\\n\"PANDA\": df[(df['substrate'] == 'porphobilin...FalseNone
          1277516942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...1the new york jet play at 1:00 pm on sunday , n...1977 pittsburgh steelers season<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...\\n\"PANDA\": ((df['opponent'] == 'new york jets'...TrueNone
          1277616942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...1during week 1 , the game start at 9:00 pm1977 pittsburgh steelers season<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...\\n\"PANDA\": df.loc[df['week'] == 1, 'time ( et ...TrueNone
          1277716942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...0the seattle seahawks play against the new york...1977 pittsburgh steelers season<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...\\n\"PANDA\": ((df['opponent'] == 'seattle seahaw...FalseNone
          1277816942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...0during week 14 the game start at 9:00 pm1977 pittsburgh steelers season<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...\\n\"PANDA\": df.loc[df['week'] == 14, 'time ( et...FalseNone
          \n", + "

          12779 rows × 10 columns

          \n", + "
          " + ], + "text/plain": [ + " id table_csv \\\n", + "0 0 2-1570274-4.html.csv \n", + "1 0 2-1570274-4.html.csv \n", + "2 0 2-1570274-4.html.csv \n", + "3 0 2-1570274-4.html.csv \n", + "4 0 2-1570274-4.html.csv \n", + "... ... ... \n", + "12774 1693 1-182499-1.html.csv \n", + "12775 1694 2-14418812-1.html.csv \n", + "12776 1694 2-14418812-1.html.csv \n", + "12777 1694 2-14418812-1.html.csv \n", + "12778 1694 2-14418812-1.html.csv \n", + "\n", + " table_text label \\\n", + "0 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "1 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "2 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "3 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "4 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "... ... ... \n", + "12774 enzyme#location#substrate#product#chromosome#e... 0 \n", + "12775 week#date#opponent#time ( et )#result#record#g... 1 \n", + "12776 week#date#opponent#time ( et )#result#record#g... 1 \n", + "12777 week#date#opponent#time ( et )#result#record#g... 0 \n", + "12778 week#date#opponent#time ( et )#result#record#g... 0 \n", + "\n", + " statement \\\n", + "0 tony lema be in the top 5 for the master tourn... \n", + "1 tournament that tony lema have participate in ... \n", + "2 the only tournament that tony lema win in be t... \n", + "3 tony lema do not win in the us open \n", + "4 tony lema make it to the top 10 in the pga cha... \n", + "... ... \n", + "12774 the location of substrate porphobilinogen and ... \n", + "12775 the new york jet play at 1:00 pm on sunday , n... \n", + "12776 during week 1 , the game start at 9:00 pm \n", + "12777 the seattle seahawks play against the new york... \n", + "12778 during week 14 the game start at 9:00 pm \n", + "\n", + " table_caption \\\n", + "0 tony lema \n", + "1 tony lema \n", + "2 tony lema \n", + "3 tony lema \n", + "4 tony lema \n", + "... ... \n", + "12774 porphyrin \n", + "12775 1977 pittsburgh steelers season \n", + "12776 1977 pittsburgh steelers season \n", + "12777 1977 pittsburgh steelers season \n", + "12778 1977 pittsburgh steelers season \n", + "\n", + " defgen \\\n", + "0
          \n", + "\n", + "
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          idtable_csvtable_textlabelstatementtable_captioncossimsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_labelsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ_correct
          002-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema be in the top 5 for the master tourn...tony lema<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...```json\\n\"PANDA\": \"(df['tournament'].isin(['ma...TrueNone
          102-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tournament that tony lema have participate in ...tony lema<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...Here is the single-line pandas expression to v...FalseNone
          202-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1the only tournament that tony lema win in be t...tony lema<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...```json\\n\"PANDA\": \"df['tournament'].eq('us ope...TrueNone
          302-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema do not win in the us opentony lema<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...Here is the single-line pandas expression that...FalseThe error is due to the fact that the column '...
          402-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema make it to the top 10 in the pga cha...tony lema<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...Here is the single-line pandas expression that...FalseNone
          .................................
          1277416931-182499-1.html.csvenzyme#location#substrate#product#chromosome#e...0the location of substrate porphobilinogen and ...porphyrin<TABLE DESCRIPTION=\"porphyrin\"><HEADER NAME=\"e...Here is the single-line pandas expression base...FalseNone
          1277516942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...1the new york jet play at 1:00 pm on sunday , n...1977 pittsburgh steelers season<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...Here is the single-line pandas expression that...FalseNone
          1277616942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...1during week 1 , the game start at 9:00 pm1977 pittsburgh steelers season<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...```\\n{\"PANDA\": \"df['time ( et )'].iloc[0] == '...TrueNone
          1277716942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...0the seattle seahawks play against the new york...1977 pittsburgh steelers season<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...Here is the single-line pandas expression that...TrueThe error in the provided code is due to the i...
          1277816942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...0during week 14 the game start at 9:00 pm1977 pittsburgh steelers season<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...```json\\n\"PANDA\": \"df['time ( et )'].str.conta...TrueNone
          \n", + "

          12779 rows × 10 columns

          \n", + "" + ], + "text/plain": [ + " id table_csv \\\n", + "0 0 2-1570274-4.html.csv \n", + "1 0 2-1570274-4.html.csv \n", + "2 0 2-1570274-4.html.csv \n", + "3 0 2-1570274-4.html.csv \n", + "4 0 2-1570274-4.html.csv \n", + "... ... ... \n", + "12774 1693 1-182499-1.html.csv \n", + "12775 1694 2-14418812-1.html.csv \n", + "12776 1694 2-14418812-1.html.csv \n", + "12777 1694 2-14418812-1.html.csv \n", + "12778 1694 2-14418812-1.html.csv \n", + "\n", + " table_text label \\\n", + "0 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "1 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "2 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "3 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "4 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "... ... ... \n", + "12774 enzyme#location#substrate#product#chromosome#e... 0 \n", + "12775 week#date#opponent#time ( et )#result#record#g... 1 \n", + "12776 week#date#opponent#time ( et )#result#record#g... 1 \n", + "12777 week#date#opponent#time ( et )#result#record#g... 0 \n", + "12778 week#date#opponent#time ( et )#result#record#g... 0 \n", + "\n", + " statement \\\n", + "0 tony lema be in the top 5 for the master tourn... \n", + "1 tournament that tony lema have participate in ... \n", + "2 the only tournament that tony lema win in be t... \n", + "3 tony lema do not win in the us open \n", + "4 tony lema make it to the top 10 in the pga cha... \n", + "... ... \n", + "12774 the location of substrate porphobilinogen and ... \n", + "12775 the new york jet play at 1:00 pm on sunday , n... \n", + "12776 during week 1 , the game start at 9:00 pm \n", + "12777 the seattle seahawks play against the new york... \n", + "12778 during week 14 the game start at 9:00 pm \n", + "\n", + " table_caption \\\n", + "0 tony lema \n", + "1 tony lema \n", + "2 tony lema \n", + "3 tony lema \n", + "4 tony lema \n", + "... ... \n", + "12774 porphyrin \n", + "12775 1977 pittsburgh steelers season \n", + "12776 1977 pittsburgh steelers season \n", + "12777 1977 pittsburgh steelers season \n", + "12778 1977 pittsburgh steelers season \n", + "\n", + " cossim \\\n", + "0
          \n", + "\n", + "
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          id_xtable_csvtable_textlabelstatementtable_captionnlsep_querysemtab_querynlsep_answnlsep_label...id_ydefgensemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ_xdefgen_labeldefgen_answ_correctidcossimsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ_ysemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_labelsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ_correct
          002-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema be in the top 5 for the master tourn...tony lematony lema be in the top 5 for the master tourn...tony lema be in the top 5 for the master tourn...Here is a concise Pandas expression that check...False...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...\\n\"PANDA\": df.loc[df['tournament'].isin(['mast...TrueNone0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...```json\\n\"PANDA\": \"(df['tournament'].isin(['ma...TrueNone
          102-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tournament that tony lema have participate in ...tony lematournament that tony lema have participate in ...tournament that tony lema have participate in ...Here is a single-line pandas expression that v...False...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...\"PANDA\": all(tournament in df['tournament'].va...NoneNone0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...Here is the single-line pandas expression to v...FalseNone
          202-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1the only tournament that tony lema win in be t...tony lemathe only tournament that tony lema win in be t...the only tournament that tony lema win in be t...Here is the single-line pandas expression to v...True...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...\\n\"PANDA\": df[df['wins'] == 1]['tournament'].e...FalseNone0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...```json\\n\"PANDA\": \"df['tournament'].eq('us ope...TrueNone
          302-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema do not win in the us opentony lematony lema do not win in the us open col : tou...tony lema do not win in the us open <TABLE><DE...Here is a single-line pandas expression that v...True...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...\\n\"PANDA\": df.loc[df['tournament'] == 'us open...TrueNone0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...Here is the single-line pandas expression that...FalseThe error is due to the fact that the column '...
          402-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema make it to the top 10 in the pga cha...tony lematony lema make it to the top 10 in the pga cha...tony lema make it to the top 10 in the pga cha...Here is a single-line pandas expression that c...True...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...\"PANDA\": df.loc[df['tournament'] == 'pga champ...TrueNone0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...Here is the single-line pandas expression that...FalseNone
          ..................................................................
          1288216931-182499-1.html.csvenzyme#location#substrate#product#chromosome#e...0the location of substrate porphobilinogen and ...porphyrinthe location of substrate porphobilinogen and ...the location of substrate porphobilinogen and ...Here is the single-line pandas expression that...True...1693<TABLE DESCRIPTION=\"porphyrin\"><HEADER NAME=\"e...\\n\"PANDA\": df[(df['substrate'] == 'porphobilin...FalseNone1693<TABLE DESCRIPTION=\"porphyrin\"><HEADER NAME=\"e...Here is the single-line pandas expression base...FalseNone
          1288316942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...1the new york jet play at 1:00 pm on sunday , n...1977 pittsburgh steelers seasonthe new york jet play at 1:00 pm on sunday , n...the new york jet play at 1:00 pm on sunday , n...Here is the single-line pandas expression that...False...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...\\n\"PANDA\": ((df['opponent'] == 'new york jets'...TrueNone1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...Here is the single-line pandas expression that...FalseNone
          1288416942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...1during week 1 , the game start at 9:00 pm1977 pittsburgh steelers seasonduring week 1 , the game start at 9:00 pm col...during week 1 , the game start at 9:00 pm <TAB...Here is the single-line pandas expression that...True...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...\\n\"PANDA\": df.loc[df['week'] == 1, 'time ( et ...TrueNone1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...```\\n{\"PANDA\": \"df['time ( et )'].iloc[0] == '...TrueNone
          1288516942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...0the seattle seahawks play against the new york...1977 pittsburgh steelers seasonthe seattle seahawks play against the new york...the seattle seahawks play against the new york...```json\\n{\\n \"PANDA\": \"df[(df['date'] == 'sun...True...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...\\n\"PANDA\": ((df['opponent'] == 'seattle seahaw...FalseNone1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...Here is the single-line pandas expression that...TrueThe error in the provided code is due to the i...
          1288616942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...0during week 14 the game start at 9:00 pm1977 pittsburgh steelers seasonduring week 14 the game start at 9:00 pm col ...during week 14 the game start at 9:00 pm <TABL...```json\\n\"PANDA\": \"df['time ( et )'].str.conta...True...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...\\n\"PANDA\": df.loc[df['week'] == 14, 'time ( et...FalseNone1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...```json\\n\"PANDA\": \"df['time ( et )'].str.conta...TrueNone
          \n", + "

          12887 rows × 22 columns

          \n", + "" + ], + "text/plain": [ + " id_x table_csv \\\n", + "0 0 2-1570274-4.html.csv \n", + "1 0 2-1570274-4.html.csv \n", + "2 0 2-1570274-4.html.csv \n", + "3 0 2-1570274-4.html.csv \n", + "4 0 2-1570274-4.html.csv \n", + "... ... ... \n", + "12882 1693 1-182499-1.html.csv \n", + "12883 1694 2-14418812-1.html.csv \n", + "12884 1694 2-14418812-1.html.csv \n", + "12885 1694 2-14418812-1.html.csv \n", + "12886 1694 2-14418812-1.html.csv \n", + "\n", + " table_text label \\\n", + "0 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "1 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "2 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "3 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "4 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "... ... ... \n", + "12882 enzyme#location#substrate#product#chromosome#e... 0 \n", + "12883 week#date#opponent#time ( et )#result#record#g... 1 \n", + "12884 week#date#opponent#time ( et )#result#record#g... 1 \n", + "12885 week#date#opponent#time ( et )#result#record#g... 0 \n", + "12886 week#date#opponent#time ( et )#result#record#g... 0 \n", + "\n", + " statement \\\n", + "0 tony lema be in the top 5 for the master tourn... \n", + "1 tournament that tony lema have participate in ... \n", + "2 the only tournament that tony lema win in be t... \n", + "3 tony lema do not win in the us open \n", + "4 tony lema make it to the top 10 in the pga cha... \n", + "... ... \n", + "12882 the location of substrate porphobilinogen and ... \n", + "12883 the new york jet play at 1:00 pm on sunday , n... \n", + "12884 during week 1 , the game start at 9:00 pm \n", + "12885 the seattle seahawks play against the new york... \n", + "12886 during week 14 the game start at 9:00 pm \n", + "\n", + " table_caption \\\n", + "0 tony lema \n", + "1 tony lema \n", + "2 tony lema \n", + "3 tony lema \n", + "4 tony lema \n", + "... ... \n", + "12882 porphyrin \n", + "12883 1977 pittsburgh steelers season \n", + "12884 1977 pittsburgh steelers season \n", + "12885 1977 pittsburgh steelers season \n", + "12886 1977 pittsburgh steelers season \n", + "\n", + " nlsep_query \\\n", + "0 tony lema be in the top 5 for the master tourn... \n", + "1 tournament that tony lema have participate in ... \n", + "2 the only tournament that tony lema win in be t... \n", + "3 tony lema do not win in the us open col : tou... \n", + "4 tony lema make it to the top 10 in the pga cha... \n", + "... ... \n", + "12882 the location of substrate porphobilinogen and ... \n", + "12883 the new york jet play at 1:00 pm on sunday , n... \n", + "12884 during week 1 , the game start at 9:00 pm col... \n", + "12885 the seattle seahawks play against the new york... \n", + "12886 during week 14 the game start at 9:00 pm col ... \n", + "\n", + " semtab_query \\\n", + "0 tony lema be in the top 5 for the master tourn... \n", + "1 tournament that tony lema have participate in ... \n", + "2 the only tournament that tony lema win in be t... \n", + "3 tony lema do not win in the us open
          \n", + "\n", + "
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          id_xtable_csvtable_textlabelstatementtable_captionnlsep_querysemtab_querynlsep_answnlsep_labelnlsep_answ_correctnlsepid_ydefgenidsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_labelsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ_correct
          002-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema be in the top 5 for the master tourn...tony lematony lema be in the top 5 for the master tourn...tony lema be in the top 5 for the master tourn...Here is a concise Pandas expression that check...FalseNonecol : tournament | wins | top - 5 | top - 10 |...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...```json\\n\"PANDA\": \"(df['tournament'].isin(['ma...TrueNone
          102-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tournament that tony lema have participate in ...tony lematournament that tony lema have participate in ...tournament that tony lema have participate in ...Here is a single-line pandas expression that v...FalseNonecol : tournament | wins | top - 5 | top - 10 |...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...Here is the single-line pandas expression to v...FalseNone
          202-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1the only tournament that tony lema win in be t...tony lemathe only tournament that tony lema win in be t...the only tournament that tony lema win in be t...Here is the single-line pandas expression to v...TrueNonecol : tournament | wins | top - 5 | top - 10 |...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...```json\\n\"PANDA\": \"df['tournament'].eq('us ope...TrueNone
          302-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema do not win in the us opentony lematony lema do not win in the us open col : tou...tony lema do not win in the us open <TABLE><DE...Here is a single-line pandas expression that v...TrueNonecol : tournament | wins | top - 5 | top - 10 |...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...Here is the single-line pandas expression that...FalseThe error is due to the fact that the column '...
          402-1570274-4.html.csvtournament#wins#top - 5#top - 10#top - 25#even...1tony lema make it to the top 10 in the pga cha...tony lematony lema make it to the top 10 in the pga cha...tony lema make it to the top 10 in the pga cha...Here is a single-line pandas expression that c...TrueNonecol : tournament | wins | top - 5 | top - 10 |...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...0<TABLE DESCRIPTION=\"tony lema\"><HEADER NAME=\"t...Here is the single-line pandas expression that...FalseNone
          ............................................................
          1288216931-182499-1.html.csvenzyme#location#substrate#product#chromosome#e...0the location of substrate porphobilinogen and ...porphyrinthe location of substrate porphobilinogen and ...the location of substrate porphobilinogen and ...Here is the single-line pandas expression that...TrueNonecol : enzyme | location | substrate | product ...1693<TABLE DESCRIPTION=\"porphyrin\"><HEADER NAME=\"e...1693<TABLE DESCRIPTION=\"porphyrin\"><HEADER NAME=\"e...Here is the single-line pandas expression base...FalseNone
          1288316942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...1the new york jet play at 1:00 pm on sunday , n...1977 pittsburgh steelers seasonthe new york jet play at 1:00 pm on sunday , n...the new york jet play at 1:00 pm on sunday , n...Here is the single-line pandas expression that...FalseNonecol : week | date | opponent | time ( et ) | r...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...Here is the single-line pandas expression that...FalseNone
          1288416942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...1during week 1 , the game start at 9:00 pm1977 pittsburgh steelers seasonduring week 1 , the game start at 9:00 pm col...during week 1 , the game start at 9:00 pm <TAB...Here is the single-line pandas expression that...TrueNonecol : week | date | opponent | time ( et ) | r...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...```\\n{\"PANDA\": \"df['time ( et )'].iloc[0] == '...TrueNone
          1288516942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...0the seattle seahawks play against the new york...1977 pittsburgh steelers seasonthe seattle seahawks play against the new york...the seattle seahawks play against the new york...```json\\n{\\n \"PANDA\": \"df[(df['date'] == 'sun...TrueNonecol : week | date | opponent | time ( et ) | r...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...Here is the single-line pandas expression that...TrueThe error in the provided code is due to the i...
          1288616942-14418812-1.html.csvweek#date#opponent#time ( et )#result#record#g...0during week 14 the game start at 9:00 pm1977 pittsburgh steelers seasonduring week 14 the game start at 9:00 pm col ...during week 14 the game start at 9:00 pm <TABL...```json\\n\"PANDA\": \"df['time ( et )'].str.conta...TrueHere is the corrected pandas code:\\n\\n```pytho...col : week | date | opponent | time ( et ) | r...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...1694<TABLE DESCRIPTION=\"1977 pittsburgh steelers s...```json\\n\"PANDA\": \"df['time ( et )'].str.conta...TrueNone
          \n", + "

          12887 rows × 19 columns

          \n", + "" + ], + "text/plain": [ + " id_x table_csv \\\n", + "0 0 2-1570274-4.html.csv \n", + "1 0 2-1570274-4.html.csv \n", + "2 0 2-1570274-4.html.csv \n", + "3 0 2-1570274-4.html.csv \n", + "4 0 2-1570274-4.html.csv \n", + "... ... ... \n", + "12882 1693 1-182499-1.html.csv \n", + "12883 1694 2-14418812-1.html.csv \n", + "12884 1694 2-14418812-1.html.csv \n", + "12885 1694 2-14418812-1.html.csv \n", + "12886 1694 2-14418812-1.html.csv \n", + "\n", + " table_text label \\\n", + "0 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "1 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "2 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "3 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "4 tournament#wins#top - 5#top - 10#top - 25#even... 1 \n", + "... ... ... \n", + "12882 enzyme#location#substrate#product#chromosome#e... 0 \n", + "12883 week#date#opponent#time ( et )#result#record#g... 1 \n", + "12884 week#date#opponent#time ( et )#result#record#g... 1 \n", + "12885 week#date#opponent#time ( et )#result#record#g... 0 \n", + "12886 week#date#opponent#time ( et )#result#record#g... 0 \n", + "\n", + " statement \\\n", + "0 tony lema be in the top 5 for the master tourn... \n", + "1 tournament that tony lema have participate in ... \n", + "2 the only tournament that tony lema win in be t... \n", + "3 tony lema do not win in the us open \n", + "4 tony lema make it to the top 10 in the pga cha... \n", + "... ... \n", + "12882 the location of substrate porphobilinogen and ... \n", + "12883 the new york jet play at 1:00 pm on sunday , n... \n", + "12884 during week 1 , the game start at 9:00 pm \n", + "12885 the seattle seahawks play against the new york... \n", + "12886 during week 14 the game start at 9:00 pm \n", + "\n", + " table_caption \\\n", + "0 tony lema \n", + "1 tony lema \n", + "2 tony lema \n", + "3 tony lema \n", + "4 tony lema \n", + "... ... \n", + "12882 porphyrin \n", + "12883 1977 pittsburgh steelers season \n", + "12884 1977 pittsburgh steelers season \n", + "12885 1977 pittsburgh steelers season \n", + "12886 1977 pittsburgh steelers season \n", + "\n", + " nlsep_query \\\n", + "0 tony lema be in the top 5 for the master tourn... \n", + "1 tournament that tony lema have participate in ... \n", + "2 the only tournament that tony lema win in be t... \n", + "3 tony lema do not win in the us open col : tou... \n", + "4 tony lema make it to the top 10 in the pga cha... \n", + "... ... \n", + "12882 the location of substrate porphobilinogen and ... \n", + "12883 the new york jet play at 1:00 pm on sunday , n... \n", + "12884 during week 1 , the game start at 9:00 pm col... \n", + "12885 the seattle seahawks play against the new york... \n", + "12886 during week 14 the game start at 9:00 pm col ... \n", + "\n", + " semtab_query \\\n", + "0 tony lema be in the top 5 for the master tourn... \n", + "1 tournament that tony lema have participate in ... \n", + "2 the only tournament that tony lema win in be t... \n", + "3 tony lema do not win in the us open
          1919 in brazilian football
          datebirthDate - 1.0\"str\"0[\"may 26 , 1919\", \"may 29 , 1919\", \"june 1 , 1919\"]
          resultcode - 0.6\"str\"0[\"d\", \"d\", \"w\"]
          score\"str\"0[\"3 - 3\", \"6 - 0\", \"3 - 1\"]
          brazil scorersresult - 1.0\"str\"0[\"neco (2)\", \"heitor , am\\\\u00edlcar , millon\", \"friedenreich (3) , neco (2) , haroldo\"]
          competitionnotes - 0.98\"str\"0[\"south american championship\", \"south american championship\", \"ta\\\\u00e7a roberto cherry\"]
          ',\n", + " 'proto_query': 'haroldo be mention as a brazil scorer for 2 different game date#result#score#brazil scorers#competition\\nmay 11 , 1919#w#6 - 0#friedenreich (3) , neco (2) , haroldo#south american championship\\nmay 18 , 1919#w#3 - 1#heitor , amílcar , millon#south american championship\\nmay 26 , 1919#d#2 - 2#neco (2)#south american championship\\nmay 29 , 1919#w#1 - 0#friedenreich#south american championship\\njune 1 , 1919#d#3 - 3#haroldo , arlindo (2)#taça roberto cherry\\n'}" + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "b7465871-bb60-4114-88eb-bd40ed16e622", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'data_false' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[104], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdata_false\u001b[49m\n", + "\u001b[0;31mNameError\u001b[0m: name 'data_false' is not defined" + ] + } + ], + "source": [ + "data_false" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "5afcb686-d897-47f0-b537-873aec267aa5", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'data_true' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[13], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(StringIO(table_str), delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m df\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m1\u001b[39m]\n\u001b[0;32m----> 4\u001b[0m dt \u001b[38;5;241m=\u001b[39m \u001b[43mdata_true\u001b[49m\u001b[38;5;241m.\u001b[39mfilter(\u001b[38;5;28;01mlambda\u001b[39;00m x: \u001b[38;5;28;01mTrue\u001b[39;00m \u001b[38;5;28;01mif\u001b[39;00m get_count_df_columns(x[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtable_text\u001b[39m\u001b[38;5;124m'\u001b[39m]) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m20\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m,num_proc\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m10\u001b[39m)\n", + "\u001b[0;31mNameError\u001b[0m: name 'data_true' is not defined" + ] + } + ], + "source": [ + "def get_count_df_columns(table_str):\n", + " df = pd.read_csv(StringIO(table_str), delimiter='#')\n", + " return df.shape[1]\n", + "dt = data_true.filter(lambda x: True if get_count_df_columns(x['table_text']) > 20 else False,num_proc=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "e4263ff2-f0c7-477b-929f-802927fc7fdf", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "during 1993 - 94 victorian premier league season south melbourne fc did not participate south melbourne fc
          competitionlocation - 0.72\"str\"0[\"ofc / afc champions league\", \"nsl / a - league\", \"ffv cup\"]
          1993 - 94result - 0.81\"str\"0[\"did not participate\", \"2nd\", \"did not participate\"]
          1994 - 95\"str\"0[\"did not participate\", \"sf\", \"sf\"]
          1995 - 96result - 0.74\"str\"0[\"did not participate\", \"w\", \"w\"]
          1996 - 97notes - 0.68\"str\"0[\"sf\", \"did not participate\", \"pf\"]
          1997 - 98\"str\"0[\"1st\", \"did not participate\", \"competition not held\"]
          1998 - 99result - 0.82\"str\"0[\"did not participate\", \"competition not held\", \"did not participate\"]
          1999 - 2000notes - 0.88\"str\"0[\"did not participate\", \"did not participate\", \"competition not held\"]
          2000 - 01notes - 0.83\"str\"0[\"competition not held\", \"1st\", \"competition not held\"]
          2001 - 02rank - 0.81\"str\"0[\"5th\", \"did not participate\", \"did not participate\"]
          2002 - 03\"str\"0[\"dnp\", \"did not participate\", \"competition not held\"]
          2003 - 04status - 0.83\"str\"0[\"did not participate\", \"dnp\", \"did not participate\"]
          2005status - 0.88\"str\"0[\"did not participate\", \"did not participate\", \"pf\"]
          2006notes - 0.61\"str\"0[\"did not participate\", \"did not participate\", \"did not participate\"]
          2007\"str\"0[\"did not participate\", \"did not participate\", \"competition not held\"]
          2008\"str\"0[\"dnp\", \"competition not held\", \"did not participate\"]
          2009result - 0.7\"str\"0[\"competition not held\", \"did not participate\", \"competition not held\"]
          2010notes - 0.66\"str\"0[\"competition not held\", \"competition not held\", \"dnp\"]
          2011notes - 0.85\"str\"0[\"did not participate\", \"did not participate\", \"4th\"]
          2012\"str\"0[\"did not participate\", \"dnp\", \"6th\"]
          2013notes - 0.55\"str\"0[\"competition not held\", \"did not participate\", \"sf\"]
          2014\"str\"0[\"did not participate\", \"did not participate\", \"-\"]
          \n" + ] + } + ], + "source": [ + "print(dt[0]['semtab_query'])" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "id": "85144c41-8eb5-4b2d-8697-6cd69851db45", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\t
          \n", + "\t
          \n", + "\t
          \n", + "\t
          \n", + "\t
          \n", + "\t
          \n", + "\t
          \n", + "
          \n", + "\n" + ] + } + ], + "source": [ + "import xml.dom.minidom\n", + "\n", + "xml_string = '''
          '''\n", + "# Парсим строку\n", + "dom = xml.dom.minidom.parseString(xml_string)\n", + "\n", + "# Преобразуем в форматированную строку с отступами\n", + "pretty_xml_string = dom.toprettyxml()\n", + "\n", + "# Выводим на печать\n", + "print(pretty_xml_string)" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "6d295be4-a38f-4b45-a677-b3231f1e35a1", + "metadata": {}, + "outputs": [], + "source": [ + "import xml.etree.ElementTree as ET\n", + "root = ET.fromstring('south melbourne fc
          competitionlocation - 0.72\"str\"0[\"ofc / afc champions league\", \"nsl / a - league\", \"ffv cup\"]
          1993 - 94result - 0.81\"str\"0[\"did not participate\", \"2nd\", \"did not participate\"]
          1994 - 95\"str\"0[\"did not participate\", \"sf\", \"sf\"]
          1995 - 96result - 0.74\"str\"0[\"did not participate\", \"w\", \"w\"]
          1996 - 97notes - 0.68\"str\"0[\"sf\", \"did not participate\", \"pf\"]
          1997 - 98\"str\"0[\"1st\", \"did not participate\", \"competition not held\"]
          1998 - 99result - 0.82\"str\"0[\"did not participate\", \"competition not held\", \"did not participate\"]
          1999 - 2000notes - 0.88\"str\"0[\"did not participate\", \"did not participate\", \"competition not held\"]
          2000 - 01notes - 0.83\"str\"0[\"competition not held\", \"1st\", \"competition not held\"]
          2001 - 02rank - 0.81\"str\"0[\"5th\", \"did not participate\", \"did not participate\"]
          2002 - 03\"str\"0[\"dnp\", \"did not participate\", \"competition not held\"]
          2003 - 04status - 0.83\"str\"0[\"did not participate\", \"dnp\", \"did not participate\"]
          2005status - 0.88\"str\"0[\"did not participate\", \"did not participate\", \"pf\"]
          2006notes - 0.61\"str\"0[\"did not participate\", \"did not participate\", \"did not participate\"]
          2007\"str\"0[\"did not participate\", \"did not participate\", \"competition not held\"]
          2008\"str\"0[\"dnp\", \"competition not held\", \"did not participate\"]
          2009result - 0.7\"str\"0[\"competition not held\", \"did not participate\", \"competition not held\"]
          2010notes - 0.66\"str\"0[\"competition not held\", \"competition not held\", \"dnp\"]
          2011notes - 0.85\"str\"0[\"did not participate\", \"did not participate\", \"4th\"]
          2012\"str\"0[\"did not participate\", \"dnp\", \"6th\"]
          2013notes - 0.55\"str\"0[\"competition not held\", \"did not participate\", \"sf\"]
          2014\"str\"0[\"did not participate\", \"did not participate\", \"-\"]
          ')" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "id": "1be77a9c-921a-49fd-96e6-c5ff9ca0d31e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "print(root)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "2bfd3701-f42b-45dd-a354-67b6fdb8834c", + "metadata": {}, + "outputs": [], + "source": [ + "sep_data_len = []\n", + "sem_data_len = []\n", + "for data in data_true:\n", + " sep_data_len.append(len(data['nlsep_query']))\n", + " sem_data_len.append(len(data['semtab_query']))" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "0c8e8517-9c54-4ff5-b59c-02b7179dbec6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(30487,)" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + " dif[dif<0].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "8f63e033-60e5-4947-87ce-5be353235904", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2317 -6940 71.05049026283535 772.3828916818711\n" + ] + } + ], + "source": [ + "import numpy as np \n", + "sep_data_len = np.array(sep_data_len)\n", + "sem_data_len = np.array(sem_data_len)\n", + "dif = sem_data_len - sep_data_len\n", + "print(max(dif),min(dif),dif.mean(),dif.std())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "26906282-1dfb-4e3b-bb94-838c05f7a761", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Процент примеров превышающих соответствующее семантическое представление 34.598710790321846\n" + ] + } + ], + "source": [ + "print('Процент примеров превышающих соответствующее семантическое представление', \n", + " dif[dif<0].shape[0]/dif.shape[0]*100)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "355097ec-e455-43d8-9e98-07238719050d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Процент примеров равных семантическое представление 0.06128285441917473\n" + ] + } + ], + "source": [ + "print('Процент примеров равных семантическое представление', \n", + " dif[dif == 0].shape[0]/dif.shape[0]*100)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "0fcec7d9-d074-4cb1-b867-f773e5752297", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Процент примеров отличающихся не более чем на окно в 50 символов от семантическое представление 9.173135412410913\n" + ] + } + ], + "source": [ + "print('Процент примеров отличающихся не более чем на окно в 50 символов от семантическое представление', \n", + " dif[(dif <= 100) & (dif >= -100) ].shape[0]/dif.shape[0]*100)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "739ab108-4e3a-4729-b647-9f81a84b1bfb", + "metadata": {}, + "outputs": [], + "source": [ + "df_dif = pd.DataFrame({'NL+sep':sep_data_len,'Semantic headers':sem_data_len,'dif':dif}) " + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "971d1b0a-1291-4253-93c2-67150fb2216d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
          " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_dif.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "fbcb71ff-23f5-4b9b-9b7b-082501f175e7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
          " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_dif.rolling(window=100).mean().plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "c711723a-e62c-417f-aec4-ea690cf91c0e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting matplotlib\n", + " Using cached matplotlib-3.10.7-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.7 MB)\n", + "Requirement already satisfied: numpy>=1.23 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from matplotlib) (2.2.6)\n", + "Requirement already satisfied: packaging>=20.0 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from matplotlib) (25.0)\n", + "Collecting cycler>=0.10\n", + " Using cached cycler-0.12.1-py3-none-any.whl (8.3 kB)\n", + "Requirement already satisfied: pillow>=8 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from matplotlib) (12.0.0)\n", + "Collecting pyparsing>=3\n", + " Using cached pyparsing-3.2.5-py3-none-any.whl (113 kB)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from matplotlib) (2.9.0.post0)\n", + "Collecting kiwisolver>=1.3.1\n", + " Using cached kiwisolver-1.4.9-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.6 MB)\n", + "Collecting contourpy>=1.0.1\n", + " Using cached contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (325 kB)\n", + "Collecting fonttools>=4.22.0\n", + " Downloading fonttools-4.61.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (4.9 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.9/4.9 MB\u001b[0m \u001b[31m1.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: six>=1.5 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib) (1.17.0)\n", + "Installing collected packages: pyparsing, kiwisolver, fonttools, cycler, contourpy, matplotlib\n", + "Successfully installed contourpy-1.3.2 cycler-0.12.1 fonttools-4.61.0 kiwisolver-1.4.9 matplotlib-3.10.7 pyparsing-3.2.5\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "pip install matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "ab1dbeca-2f47-440a-8188-205a5ca5b6dc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: modelscope in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (1.31.0)\n", + "Requirement already satisfied: setuptools in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from modelscope) (59.6.0)\n", + "Requirement already satisfied: filelock in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from modelscope) (3.20.0)\n", + "Requirement already satisfied: tqdm>=4.64.0 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from modelscope) (4.67.1)\n", + "Requirement already satisfied: urllib3>=1.26 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from modelscope) (2.5.0)\n", + "Requirement already satisfied: requests>=2.25 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from modelscope) (2.32.5)\n", + "Requirement already satisfied: charset_normalizer<4,>=2 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from requests>=2.25->modelscope) (3.4.4)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from requests>=2.25->modelscope) (2025.11.12)\n", + "Requirement already satisfied: idna<4,>=2.5 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from requests>=2.25->modelscope) (3.11)\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "pip install modelscope" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "83b675e7-1cd7-4ff6-af1e-fc0c579b3018", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Downloading Model from https://www.modelscope.cn to directory: /home/poddubny/.cache/modelscope/hub/models/deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-04-11 16:02:51,787 - modelscope - INFO - Target directory already exists, skipping creation.\n" + ] + } + ], + "source": [ + "from modelscope import AutoTokenizer, AutoModelForCausalLM\n", + "tokenizer = AutoTokenizer.from_pretrained(\"deepseek-ai/deepseek-coder-7b-instruct-v1.5\", trust_remote_code=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "33b87b60-c858-4f67-ba58-de9d4ab10f32", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_tokens_lenghts(text,tokenizer):\n", + " messages=[\n", + " { 'role': 'system', 'content': \"\"},\n", + " { 'role': 'user', 'content': text}\n", + " ]\n", + " return tokenizer.apply_chat_template(messages, add_generation_prompt=False, return_tensors=\"pt\").shape[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "5ff47f70-8568-4652-8118-c46ccf4b4f60", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 88116/88116 [04:48<00:00, 305.47it/s]\n" + ] + } + ], + "source": [ + "from tqdm import tqdm\n", + "sep_data_len_token = []\n", + "sem_data_len_token = []\n", + "\n", + "for data in tqdm(data_true):\n", + " sep_data_len_token.append(compute_tokens_lenghts(data['nlsep_query'],tokenizer))\n", + " sem_data_len_token.append(compute_tokens_lenghts(data['semtab_query'],tokenizer))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "68123f44-9c19-4b8e-9939-03cb9ab65220", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 88116/88116 [01:12<00:00, 1215.26it/s]\n" + ] + } + ], + "source": [ + "count_columns = []\n", + "count_rows = []\n", + "for data in tqdm(data_true):\n", + " df = pd.read_csv(StringIO(data['table_text']), delimiter='#')\n", + " count_columns.append(df.shape[1])\n", + " count_rows.append(df.shape[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "b4dbc22d-fa9b-4d5e-b0c4-3884985fffc7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1181 -3164 -42.695912206636706 356.9935020599761\n" + ] + } + ], + "source": [ + "import numpy as np \n", + "sep_data_len_token = np.array(sep_data_len_token)\n", + "sem_data_len_token = np.array(sem_data_len_token)\n", + "dif_token = sem_data_len_token - sep_data_len_token\n", + "print(max(dif_token),min(dif_token),dif_token.mean(),dif_token.std())" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "cc1671af-1451-47ea-b978-14509a88ac4e", + "metadata": {}, + "outputs": [], + "source": [ + "k = sem_data_len_token/sep_data_len_token*100" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "a45ad8fd-d365-4f96-9900-f113084e1356", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "18.242894056847543 481.9742489270387\n" + ] + } + ], + "source": [ + "print(k.min(),k.max())" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "ae9a237f-7531-4bde-b20f-a03b3303ba25", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Процент примеров превышающих соответствующее семантическое представление 42.11266966271733\n", + "Процент примеров равных семантическое представление 0.10781242907077035\n", + "Процент примеров отличающихся не более чем на окно в 50 токенов от семантическое представление 11.171637387080667\n" + ] + } + ], + "source": [ + "print('Процент примеров превышающих соответствующее семантическое представление', \n", + " dif_token[dif_token<0].shape[0]/dif_token.shape[0]*100)\n", + "print('Процент примеров равных семантическое представление', \n", + " dif_token[dif_token == 0].shape[0]/dif_token.shape[0]*100)\n", + "print('Процент примеров отличающихся не более чем на окно в 50 токенов от семантическое представление', \n", + " dif_token[(dif_token <= 50) & (dif_token >= -50) ].shape[0]/dif_token.shape[0]*100)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "e7e25da6-5f9b-4985-900a-844f26a21bb8", + "metadata": {}, + "outputs": [], + "source": [ + "df_dif = pd.DataFrame({'NL+sep':sep_data_len_token,'Semantic headers':sem_data_len_token,\n", + " 'count columns':count_columns,'count rows':count_rows,'percent':100-sem_data_len_token/sep_data_len_token*100,\n", + " 'percent_sem':sep_data_len_token/sem_data_len_token*100}) " + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "1eca8ec9-268c-4f6d-867b-ab65a51c44cb", + "metadata": {}, + "outputs": [], + "source": [ + "df_dif = df_dif[df_dif['count columns']<=15]" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "02874c00-a4f2-4941-a629-356617d0c45b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
          NL+sepSemantic headerscount columnscount rowspercentpercent_sem
          count87968.00000087968.00000087968.00000087968.00000087968.00000087968.000000
          4t5charles coodyunited states72 + 68 = 140emean576.994703533.2789426.28516113.368861-22.597923108.112814
          5t5al geibergerunited states68 + 72 = 140estd379.407588123.8855451.5209308.56054559.30809165.625147
          6t5george knudsoncanada70 + 70 = 140emin114.000000335.0000005.0000002.000000-305.12820524.683544
          7t8tony jacklinengland71 + 70 = 141+ 125%317.000000440.0000005.0000007.000000-65.55555660.402685
          8t8johnny millerunited states71 + 70 = 141+ 150%458.000000503.0000006.00000011.000000-15.32935886.708192
          9t8orville moodyunited states71 + 70 = 141+ 175%723.000000598.0000007.00000017.00000026.603870136.246966
          10t8jack nicklausunited states74 + 67 = 141+ 1max3872.0000001899.00000015.00000048.00000081.757106548.158640
          \n", "
          " ], "text/plain": [ - " place player country score to par\n", - "0 1 deane beman united states 68 + 69 = 137 - 3\n", - "1 t2 miller barber united states 67 + 71 = 138 - 2\n", - "2 t2 bob murphy united states 66 + 72 = 138 - 2\n", - "3 4 bob rosburg united states 70 + 69 = 139 - 1\n", - "4 t5 charles coody united states 72 + 68 = 140 e\n", - "5 t5 al geiberger united states 68 + 72 = 140 e\n", - "6 t5 george knudson canada 70 + 70 = 140 e\n", - "7 t8 tony jacklin england 71 + 70 = 141 + 1\n", - "8 t8 johnny miller united states 71 + 70 = 141 + 1\n", - "9 t8 orville moody united states 71 + 70 = 141 + 1\n", - "10 t8 jack nicklaus united states 74 + 67 = 141 + 1" + " NL+sep Semantic headers count columns count rows \\\n", + "count 87968.000000 87968.000000 87968.000000 87968.000000 \n", + "mean 576.994703 533.278942 6.285161 13.368861 \n", + "std 379.407588 123.885545 1.520930 8.560545 \n", + "min 114.000000 335.000000 5.000000 2.000000 \n", + "25% 317.000000 440.000000 5.000000 7.000000 \n", + "50% 458.000000 503.000000 6.000000 11.000000 \n", + "75% 723.000000 598.000000 7.000000 17.000000 \n", + "max 3872.000000 1899.000000 15.000000 48.000000 \n", + "\n", + " percent percent_sem \n", + "count 87968.000000 87968.000000 \n", + "mean -22.597923 108.112814 \n", + "std 59.308091 65.625147 \n", + "min -305.128205 24.683544 \n", + "25% -65.555556 60.402685 \n", + "50% -15.329358 86.708192 \n", + "75% 26.603870 136.246966 \n", + "max 81.757106 548.158640 " + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_dif.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "eecc5e04-3f57-435f-a715-0b2137647f14", + "metadata": {}, + "outputs": [], + "source": [ + "p = df_dif['count rows'].copy()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "23d4feb9-0667-44af-975f-73a860dbc63f", + "metadata": {}, + "outputs": [], + "source": [ + "mask = p<10\n", + "p[ p<5] = p*2" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "08541ba3-5a66-4c5e-afa7-531762a0f505", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.int64(4)" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p.min()" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "e80cf02d-23f6-4d2f-9fbb-c0df6c8efed7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
          " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_dif.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "32c6a929-b165-4ff3-9961-188423c2c84e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
          " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_dif.rolling(window=500).mean().plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "0953311e-6a1b-4590-980a-33d805e48a99", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
          " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from scipy.interpolate import make_interp_spline, BSpline\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(15, 6))\n", + "\n", + "# График 1: B-сплайн\n", + "x1 = df_dif['count columns'].values\n", + "y1 = df_dif['percent'].values\n", + "\n", + "# Сортируем и создаем равномерную сетку\n", + "sort_idx = np.argsort(x1)\n", + "x1_sorted = x1[sort_idx]\n", + "y1_sorted = y1[sort_idx]\n", + "\n", + "# Удаляем дубликаты для сплайна\n", + "x1_unique, idx = np.unique(x1_sorted, return_index=True)\n", + "y1_unique = y1_sorted[idx]\n", + "\n", + "# Создаем B-сплайн (кубический, k=3)\n", + "if len(x1_unique) >= 4: # B-сплайн требует минимум k+1 точек\n", + " spline1 = make_interp_spline(x1_unique, y1_unique, k=2) # k=3 для кубического сплайна\n", + " x1_fine = np.linspace(x1_unique.min(), x1_unique.max(), 300)\n", + " \n", + " axes[0].scatter(x1, y1, alpha=0.6, label='Данные')\n", + " axes[0].plot(x1_fine, spline1(x1_fine), 'r-', linewidth=2, label='B-сплайн (k=3)')\n", + "else:\n", + " axes[0].scatter(x1, y1, alpha=0.6, label='Данные (недостаточно для сплайна)')\n", + "\n", + "axes[0].set_xlabel('Количество столбцов')\n", + "axes[0].set_ylabel('Процент (%)')\n", + "axes[0].set_title('B-сплайн аппроксимация')\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# График 2\n", + "x2 = df_dif['count rows'].values\n", + "y2 = df_dif['percent'].values\n", + "\n", + "sort_idx2 = np.argsort(x2)\n", + "x2_sorted = x2[sort_idx2]\n", + "y2_sorted = y2[sort_idx2]\n", + "\n", + "x2_unique, idx2 = np.unique(x2_sorted, return_index=True)\n", + "y2_unique = y2_sorted[idx2]\n", + "\n", + "if len(x2_unique) >= 4:\n", + " spline2 = make_interp_spline(x2_unique, y2_unique, k=4)\n", + " x2_fine = np.linspace(x2_unique.min(), x2_unique.max(), 300)\n", + " \n", + " axes[1].scatter(x2, y2, alpha=0.6, label='Данные')\n", + " axes[1].plot(x2_fine, spline2(x2_fine), 'r-', linewidth=2, label='B-сплайн (k=3)')\n", + "else:\n", + " axes[1].scatter(x2, y2, alpha=0.6, label='Данные (недостаточно для сплайна)')\n", + "\n", + "axes[1].set_xlabel('Количество строк')\n", + "axes[1].set_ylabel('Процент (%)')\n", + "axes[1].set_title('B-сплайн аппроксимация')\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "a4476a9f-0418-43fe-a1d1-ae8191394a2d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
          " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Настройка стиля\n", + "sns.set_style(\"whitegrid\")\n", + "\n", + "# Создаем фигуру с двумя подграфиками\n", + "fig, axes = plt.subplots(1, 2, figsize=(15, 6))\n", + "\n", + "# Первый график с регрессионной линией\n", + "sns.regplot(data=df_dif, x='count columns', y='percent_sem', \n", + " scatter_kws={'alpha': 0.6}, line_kws={'color': 'red'}, ax=axes[0])\n", + "axes[0].set_xlabel('Количество столбцов')\n", + "axes[0].set_ylabel('Эффективность (%)')\n", + "axes[0].set_title('Зависимость эффективности метода от количества столбцов')\n", + "\n", + "# Второй график с регрессионной линией\n", + "sns.regplot(data=df_dif, x='count rows', y='percent_sem', \n", + " scatter_kws={'alpha': 0.6}, line_kws={'color': 'red'}, ax=axes[1])\n", + "axes[1].set_xlabel('Количество строк')\n", + "axes[1].set_ylabel('Эффективность (%)')\n", + "axes[1].set_title('Зависимость эффективности метода от количества строк')\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig('./row_col_efficent.png',dpi=300)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "7a27ef30-2fbe-48fa-8a7d-2442715c1b90", + "metadata": {}, + "outputs": [], + "source": [ + "def parse_panda_code(input_string):\n", + " \"\"\"\n", + " Парсит строку и извлекает код, который находится внутри конструкции \"PANDA\": <код>\n", + " Поддерживает различные форматы: JSON, простой текст, Markdown\n", + " \n", + " Args:\n", + " input_string (str): Входная строка для парсинга\n", + " \n", + " Returns:\n", + " str: Извлеченный код или пустая строка, если код не найден\n", + " \"\"\"\n", + " # Сначала попробуем найти JSON объект с PANDA\n", + " json_pattern = r'\\{[^{}]*(?:CORRECT PANDA|PANDA)\":\\s*(.+?)(?:\\n|$)?\\}'\n", + " json_match = re.search(json_pattern, input_string, re.DOTALL)\n", + " code = None\n", + " pattern = r'\"(?:CORRECT PANDA|PANDA)\":\\s*(.+?)(?:\\n|$)'\n", + " if json_match:\n", + " code = json_match.group(1).strip()\n", + " else:\n", + " match = re.search(pattern, input_string, re.DOTALL)\n", + " if match:\n", + " # Извлекаем код и убираем лишние пробелы по краям\n", + " code = match.group(1).strip()\n", + " # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON\n", + "\n", + " # Если JSON не найден или не распарсился, используем старый метод\n", + " # Паттерн для поиска кода после \"PANDA\": \n", + " # Ищет \"PANDA\": за которым следует пробел, затем код до конца строки или до следующего символа\n", + " if code != None:\n", + " # Убираем возможные кавычки вокруг кода\n", + " if code.startswith('\"') and code.endswith('\"'):\n", + " code = code[1:-1]\n", + " elif code.startswith(\"'\") and code.endswith(\"'\"):\n", + " code = code[1:-1]\n", + " \n", + " return code\n", + " \n", + " return \"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "e69311f6-b243-49c2-9ae5-70bd5269077e", + "metadata": {}, + "outputs": [], + "source": [ + "system_prompt = '''\n", + "### Instruction:\n", + "You are a Python expert specializing in pandas. Your task is to translate the\n", + "given natural language query into a single-line pandas expression. This\n", + "expression must be valid and executable to verify the truth of the statement\n", + "using the provided table. Consider the following:\n", + "1. The table schema is represented in XML format.\n", + "2. The table is represented as a pandas DataFrame named df.\n", + "3. Do not include explanations, comments, or multiline outputs.\n", + "4. Ensure the output is concise, correct, and when run outputs either True or\n", + "False, and strictly in the following Json Format with a single key \"PANDA\":\n", + "\"PANDA\": \"\"\n", + "\n", + "### Table schema\n", + "{table}\n", + "### Query\n", + "{query}\n", + "### Response:\\n\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "657a2614-e7d1-4cbf-892f-cc1c6c3f5efb", + "metadata": {}, + "outputs": [], + "source": [ + "system_correcting_prompt = '''\n", + "You are a Python expert specializing in pandas. Your task is to correct a pandas code that translates a given natural language query into a pandas expression. The input table schema,query, code, along with the specific error it contains, is provided.\n", + "Your corrected pandas_code must be valid and executable by running the code\n", + "snippet str(bool(eval(pandas_code))) ensuring it accurately evaluates the truth\n", + "of the statement using the provided table with no errors.\n", + "Make sure the pandas_code is of type boolean. Consider the following:\n", + "1. The table schema is represented in XML format.\n", + "2. The table is represented as a pandas DataFrame named df.\n", + "3. Do not include explanations, comments, or multiline outputs.\n", + "4. Ensure the output is concise, correct, and when run outputs either True or\n", + "False, and strictly in the following Json Format with a single key \"CORRECT PANDA\": \n", + "\"CORRECT PANDA\": \"\"\n", + "\n", + "### Table schema\n", + "{table}\n", + "### Query\n", + "{query}\n", + "### CODE\n", + "{code_str}\n", + "### ERROR\n", + "{error_str}\n", + "### Response:\\n\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "039f55b7-c38a-44bd-8194-5b6e2ccbf6c4", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'table' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[62], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m system_correcting_prompt\u001b[38;5;241m.\u001b[39mformat(table\u001b[38;5;241m=\u001b[39m\u001b[43mtable\u001b[49m, query\u001b[38;5;241m=\u001b[39mquery,code_str\u001b[38;5;241m=\u001b[39mcode_str,error_str\u001b[38;5;241m=\u001b[39merror_str)\u001b[38;5;241m.\u001b[39mlstrip()\n", + "\u001b[0;31mNameError\u001b[0m: name 'table' is not defined" + ] + } + ], + "source": [ + "system_correcting_prompt.format(table=table, query=query,code_str=code_str,error_str=error_str).lstrip()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "100d1403-a779-4ba8-bc58-28b9b9919ec0", + "metadata": {}, + "outputs": [], + "source": [ + "code = parse_panda_code(response)\n", + " if not code: # Если не удалось извлечь код\n", + " print(f\"Iteration {iter_id}: Failed to parse code from response\",f\"text: {response}\")\n", + " return correct_code(df, table,query, code_str, error_str, iter_id=iter_id+1,\n", + " max_tokens=max_tokens, top_p=top_p, temperature=temperature,\n", + " server_url=server_url, api_key=api_key, model_name=model_name,\n", + " system_correcting_prompt=system_correcting_prompt, max_iter=max_iter,add_df_info=add_df_info)\n", + " \n", + " try:\n", + " # Пробуем выполнить исправленный код\n", + " pandas_eval = str(bool(eval(code)))\n", + " print(f\"Iteration {iter_id}: Code corrected successfully\")\n", + " return True, code, response\n", + " except Exception as e:\n", + " print(f\"Iteration {iter_id}: Code execution failed with error: {e}\")\n", + " # Рекурсивно пытаемся исправить новый код\n", + " return correct_code(df, table,query, code, f'{type(e).__name__}: {e}', iter_id=iter_id+1," + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "798a5954-1622-471f-844e-e4389661f3d0", + "metadata": {}, + "outputs": [], + "source": [ + "system_prompt.format(table=entry[serialized_table_field], query=entry['statement']).lstrip()" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "90d4ca21-d4b8-4090-98a7-dbb54cb0202a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 12887/12887 [01:08<00:00, 188.30it/s]\n" + ] + } + ], + "source": [ + "from tqdm import tqdm\n", + "from datasets import Dataset\n", + "sep_data_len_token = []\n", + "cossim_data_len_token = []\n", + "defgen_data_len_token = []\n", + "diff = []\n", + "for data in tqdm(Dataset.from_pandas(data_sem_formats)):\n", + " sep_data_len_token.append(compute_tokens_lenghts(data['nlsep'],tokenizer))\n", + " cossim_data_len_token.append(compute_tokens_lenghts(data['cossim'],tokenizer))\n", + " defgen_data_len_token.append(compute_tokens_lenghts(data['defgen'],tokenizer))\n", + " diff.append(defgen_data_len_token[-1]-cossim_data_len_token[-1])" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "5ae9221f-edcc-4c53-a1bd-a4d138eed571", + "metadata": {}, + "outputs": [], + "source": [ + "import re" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "3063b4f3-fdce-4f88-a86b-3ed126d47ccb", + "metadata": {}, + "outputs": [], + "source": [ + "def parse_panda_code(input_string):\n", + " \"\"\"\n", + " Парсит строку и извлекает код, который находится внутри конструкции \"PANDA\": <код>\n", + " Поддерживает различные форматы: JSON, простой текст, Markdown\n", + " \n", + " Args:\n", + " input_string (str): Входная строка для парсинга\n", + " \n", + " Returns:\n", + " str: Извлеченный код или пустая строка, если код не найден\n", + " \"\"\"\n", + " # Сначала попробуем найти JSON объект с PANDA\n", + " json_pattern = r'\\{[^{}]*(?:CORRECT PANDA|PANDA)\":\\s*(.+?)(?:\\n|$)?\\}'\n", + " json_match = re.search(json_pattern, input_string, re.DOTALL)\n", + " code = None\n", + " pattern = r'\"(?:CORRECT PANDA|PANDA)\":\\s*(.+?)(?:\\n|$)'\n", + " if json_match:\n", + " code = json_match.group(1).strip()\n", + " else:\n", + " match = re.search(pattern, input_string, re.DOTALL)\n", + " if match:\n", + " # Извлекаем код и убираем лишние пробелы по краям\n", + " code = match.group(1).strip()\n", + " # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON\n", + "\n", + " # Если JSON не найден или не распарсился, используем старый метод\n", + " # Паттерн для поиска кода после \"PANDA\": \n", + " # Ищет \"PANDA\": за которым следует пробел, затем код до конца строки или до следующего символа\n", + " if code != None:\n", + " # Убираем возможные кавычки вокруг кода\n", + " if code.startswith('\"') and code.endswith('\"'):\n", + " code = code[1:-1]\n", + " elif code.startswith(\"'\") and code.endswith(\"'\"):\n", + " code = code[1:-1]\n", + " \n", + " return code\n", + " \n", + " return \"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "d1de4423-e4e2-4d60-a2f2-776efeadf66f", + "metadata": {}, + "outputs": [], + "source": [ + "def find_bed_code(ex):\n", + " ex['err'] = ''\n", + " ex['code'] = ''\n", + " df = pd.read_csv(StringIO(ex['table_text']), delimiter='#')\n", + " for col in df.columns:\n", + " try:\n", + " df[col] = pd.to_numeric(df[col])\n", + " except ValueError:\n", + " # Если возникает ошибка, оставляем столбец как есть\n", + " continue\n", + " \n", + " \n", + " try:\n", + " code = parse_panda_code(ex['defgen_answ'])\n", + " ex['code'] = code\n", + " pandas_eval = str(bool(eval(code,{'df': df, 'pd': pd})))\n", + " ex['code_executeble'] = True\n", + " except Exception as e:\n", + " print(e)\n", + " ex['err'] = f'{type(e).__name__}: {e}'\n", + " ex['code_executeble'] = False\n", + "\n", + " return ex" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "b64b4092-9096-492d-84df-e65948daeefc", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "aafee44269b4481e83e879bec6958063", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Map (num_proc=16): 0%| | 0/12887 [00:00, line 0)\n", + "DataFrame.ne() missing 1 required positional argument: 'other'\n", + "The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n", + "DataFrame.sort_values() missing 1 required positional argument: 'by'\n", + "DataFrame.nlargest() missing 1 required positional argument: 'columns'\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Column 'league apps' has dtype object, cannot use method 'nlargest' with this dtype\n", + "invalid literal for int() with base 10: '39 (1)'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "invalid syntax (, line 0)\n", + "invalid literal for int() with base 10: '14.14'\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "list index out of range\n", + "single positional indexer is out-of-bounds\n", + "could not convert string to float: 'free'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "single positional indexer is out-of-bounds\n", + "Lengths must match to compare\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: '2 (10)'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: '0 (1'\n", + "index 0 is out of bounds for axis 0 with size 0The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: '0 (1'\n", + "invalid literal for int() with base 10: '2 (4'\n", + "single positional indexer is out-of-bounds\n", + "cannot convert float NaN to integer\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "invalid literal for int() with base 10: 'playoff'" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "cannot convert float NaN to integer\n", + "cannot convert float NaN to integer\n", + "operands could not be broadcast together with shapes (0,) (2,) \n", + "cannot convert float NaN to integerindex 0 is out of bounds for axis 0 with size 0\n", + "\n", + "index 1 is out of bounds for axis 0 with size 1\n", + "object of type 'numpy.int64' has no len()\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: 'postponed (cold weather) rescheduled for august 19'\n", + "invalid literal for int() with base 10: 'postponed (cold weather) rescheduled for august 19'\n", + "invalid literal for int() with base 10: 'postponed (cold weather) rescheduled for august 19'\n", + "invalid literal for int() with base 10: 'postponed (cold weather) rescheduled for august 19'\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().single positional indexer is out-of-bounds\n", + "\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "could not convert string to float: '13.4%'\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'>' not supported between instances of 'str' and 'int'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'numpy.bool' object is not iterable\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "'bool' object is not iterable\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: 'all'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: 'all'unterminated string literal (detected at line 1) (, line 1)\n", + "\n", + "invalid literal for int() with base 10: 'present'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0cannot convert float NaN to integer\n", + "\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "can only convert an array of size 1 to a Python scalar\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid syntax (, line 0)\n", + "invalid literal for int() with base 10: '6.7'\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "invalid literal for int() with base 10: 'postponed due to weather (september 14)'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "invalid literal for int() with base 10: 'w 24'\n", + "invalid literal for int() with base 10: 'w 12'\n", + "('Lengths must match to compare', (1,), (2,))\n", + "single positional indexer is out-of-boundsufunc 'less' did not contain a loop with signature matching types (, ) -> None\n", + "\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n", + "Can only compare identically-labeled Series objects\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "operands could not be broadcast together with shapes (8,) (2,) \n", + "could not convert string to float: '1.133 ghz'\n", + "could not convert string to float: '1 ghz'\n", + "could not convert string to float: '1.6 v'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "could not convert string to float: '1 ghz'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "single positional indexer is out-of-bounds\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "cannot convert float NaN to integer\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "closing parenthesis ')' does not match opening parenthesis '[' (, line 1)\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "invalid literal for int() with base 10: '5 (13)'\n", + "'no of cu - o planes in unit cell in unit cell'\n", + "'no of cu - o planes in unit cell in unit cell'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0index 0 is out of bounds for axis 0 with size 0\n", + "\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "Can only compare identically-labeled Series objects\n", + "Column 'ascent time' has dtype object, cannot use method 'nsmallest' with this dtype\n", + "'<' not supported between instances of 'float' and 'str'\n", + "cannot add indices of unequal length\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "can only convert an array of size 1 to a Python scalar\n", + "Cannot perform 'rand_' with a dtyped [bool] array and scalar of type [bool]\n", + "invalid literal for int() with base 10: '3 ( a )'\n", + "single positional indexer is out-of-bounds\n", + "invalid literal for int() with base 10: '3 ( a )'\n", + "invalid literal for int() with base 10: '3 ( a )'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "invalid literal for int() with base 10: 'present'\n", + "invalid literal for int() with base 10: 'postponed'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Can only compare identically-labeled Series objects\n", + "list index out of range\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: '3 (10)'\n", + "invalid literal for int() with base 10: '3 (11)'\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "single positional indexer is out-of-bounds\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "have leftover unitsindex 0 is out of bounds for axis 0 with size 0\n", + "\n", + "list index out of range\n", + "cannot convert float NaN to integer\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "Can only compare identically-labeled Series objects\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: FutureWarning: The behavior of Series.idxmax with all-NA values, or any-NA and skipna=False, is deprecated. In a future version this will raise ValueError\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "invalid literal for int() with base 10: '235 / 771'\n", + "Out of bounds nanosecond timestamp: 1666, at position 0. You might want to try:\n", + " - passing `format` if your strings have a consistent format;\n", + " - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;\n", + " - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this.\n", + "'td \"s'\n", + "'td \"s'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "'str' object has no attribute 'isin'\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'courtney walsh'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: 'points against'\n", + "invalid literal for int() with base 10: '5 (ot)'\n", + "invalid literal for int() with base 10: '5 (ot)'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: 'unknown'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "single positional indexer is out-of-bounds\n", + "invalid literal for int() with base 10: '+ 9.8 secs'\n", + "invalid syntax (, line 0)\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "invalid literal for int() with base 10: 'chelsea won 4 - 2 on penalties'\n", + "cannot convert float NaN to integer\n", + "time data \"19 / 02 / 2000\" doesn't match format \"%m / %d / %Y\", at position 1. You might want to try:\n", + " - passing `format` if your strings have a consistent format;\n", + " - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;\n", + " - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this.\n", + "time data \"19 / 02 / 2000\" doesn't match format \"%m / %d / %Y\", at position 1. You might want to try:\n", + " - passing `format` if your strings have a consistent format;\n", + " - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;\n", + " - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this.could not convert string to float: '1383.7±1.0'\n", + "\n", + "could not convert string to float: '1115.683(6)'\n", + "'riptides'\n", + "unit abbreviation w/o a number\n", + "cannot convert float NaN to integer\n", + "expected hh:mm:ss format before .\n", + "'bool' object is not iterable\n", + "invalid literal for int() with base 10: 'first league , 1'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid syntax (, line 0)\n", + "invalid syntax (, line 0)\n", + "invalid syntax (, line 0)\n", + "invalid syntax (, line 0)\n", + "'bool' object is not iterable\n", + "Cannot interpret '' as a data type\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'winner'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "unhashable type: 'Series'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "invalid literal for int() with base 10: 'attendance'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "'honda v6'\n", + "1\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n", + "filter function returned a Series, but expected a scalar bool\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "could not convert string to float: '08.08.0mbit/s'\n", + "('Lengths must match to compare', (1,), (3,))\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "invalid literal for int() with base 10: '2010 -'\n", + "invalid literal for int() with base 10: '2010 -'\n", + "single positional indexer is out-of-bounds\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: '50000 (but received 65000)'\n", + "'september 14'\n", + "missing ), unterminated subpattern at position 0\n", + "invalid literal for int() with base 10: '2 ( aet )'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid unit abbreviation: '\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "invalid literal for int() with base 10: '71 + 71 + 65 = 207'\n", + "cannot convert the series to \n", + "index 0 is out of bounds for axis 0 with size 0\n", + "ufunc 'less' did not contain a loop with signature matching types (, ) -> None\n", + "ufunc 'less' did not contain a loop with signature matching types (, ) -> None\n", + "single positional indexer is out-of-bounds\n", + "time data \"00 jan 1960\" doesn't match format \"%d %b %Y\", at position 2. You might want to try:\n", + " - passing `format` if your strings have a consistent format;\n", + " - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;\n", + " - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this.\n", + "'wednesday'\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "can only convert an array of size 1 to a Python scalar\n", + "single positional indexer is out-of-bounds\n", + "'bool' object is not iterable\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: 'names'\n", + "invalid literal for int() with base 10: 'names'\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "Data must be 1-dimensional, got ndarray of shape (13, 1) instead\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "\"None of [Index(['tennessee', 'kentucky'], dtype='object', name='college')] are in the [index]\"\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "'SeriesGroupBy' object has no attribute 'str'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n", + "could not convert string to float: 'n / a'The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "could not convert string to float: '0%'\n", + "could not convert string to float: 'n / a'\n", + "Cannot perform 'ror_' with a dtyped [float64] array and scalar of type [bool]\n", + "could not convert string to float: 'n / a'\n", + "Out of bounds nanosecond timestamp: october 28 202007, at position 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: '76 + 67 = 143'\n", + "single positional indexer is out-of-bounds\n", + "'alpha romeo'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0'patrick meighan'\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'finalist'\n", + "'finalist'unterminated string literal (detected at line 1) (, line 1)\n", + "\n", + "cannot convert float NaN to integer\n", + "'numpy.int64' object has no attribute 'abs'\n", + "Lengths must match to compare\n", + "'numpy.int64' object is not iterable\n", + "min() arg is an empty sequence\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "cannot convert float NaN to integer\n", + "single positional indexer is out-of-bounds\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "time data \"22\" doesn't match format \"%d %b\", at position 0. You might want to try:\n", + " - passing `format` if your strings have a consistent format;\n", + " - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;\n", + " - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this.\n", + "time data \"1 sept 1991\" doesn't match format \"%d %b %Y\", at position 0. You might want to try:\n", + " - passing `format` if your strings have a consistent format;\n", + " - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;\n", + " - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this.\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: '3 (44)'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0single positional indexer is out-of-bounds\n", + "\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "invalid syntax (, line 0)\n", + "single positional indexer is out-of-boundscannot convert float NaN to integer\n", + "\n", + "single positional indexer is out-of-bounds\n", + "'mark tinker'\n", + "'shonda rhimes & marti noxon'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "could not convert string to float: '- (orig 609.6 m)'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "'4:05.67'\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "cannot convert float NaN to integer\n", + "can only convert an array of size 1 to a Python scalar\n", + "cannot convert float NaN to integer\n", + "invalid literal for int() with base 10: ''\n", + "invalid literal for int() with base 10: ''\n", + "'Series' object has no attribute 'total_seconds'\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "cannot convert float NaN to integer\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "'nominee'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "invalid literal for int() with base 10: 'raced by f giaffone'\n", + "invalid literal for int() with base 10: 'cheltenham town won 1 - 0 after extra time'\n", + "invalid literal for int() with base 10: 'cheltenham town won 1 - 0 after extra time'\n", + "invalid literal for int() with base 10: 'raced by f giaffone'\n", + "single positional indexer is out-of-bounds\n", + "invalid literal for int() with base 10: '18 , 5'\n", + "could not convert string to float: '75 m'\n", + "invalid literal for int() with base 10: '18 , 5'\n", + "invalid literal for int() with base 10: 'present'\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "invalid literal for int() with base 10: 'present'\n", + "invalid syntax (, line 0)single positional indexer is out-of-bounds\n", + "\n", + "list index out of range\n", + "could not convert string to float: '1:00.107'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "'bool' object is not iterable\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-boundssingle positional indexer is out-of-bounds\n", + "\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "'monika cassens'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "cannot convert float NaN to integer\n", + "'bool' object is not iterable\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "'bool' object is not iterable\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: 'n / a'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cannot convert float NaN to integer\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "invalid literal for int() with base 10: 'postponed'\n", + "invalid literal for int() with base 10: 'n / a'\n", + "invalid literal for int() with base 10: 'n / a'\n", + "invalid literal for int() with base 10: 'n / a'\n", + "single positional indexer is out-of-bounds\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "operands could not be broadcast together with shapes (8,) (4,) \n", + "operands could not be broadcast together with shapes (8,) (4,) \n", + "'city'\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "single positional indexer is out-of-bounds\n", + "unterminated string literal (detected at line 1) (, line 1)\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "time data \"april 26\" doesn't match format \"%b %d\", at position 0. You might want to try:\n", + " - passing `format` if your strings have a consistent format;\n", + " - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;\n", + " - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this.\n", + "'sherwood schwartz'\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "time data \"nascar sprint cup series\" doesn't match format \"%B %d , %Y\", at position 0. You might want to try:\n", + " - passing `format` if your strings have a consistent format;\n", + " - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;\n", + " - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this.\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "invalid literal for int() with base 10: 'n / a'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "can only convert an array of size 1 to a Python scalar\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-boundsindex 0 is out of bounds for axis 0 with size 0\n", + "\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0index 0 is out of bounds for axis 0 with size 0\n", + "\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "list index out of rangesingle positional indexer is out-of-bounds\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + ":1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: 'redshirt'\n", + "invalid literal for int() with base 10: 'redshirt'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid syntax (, line 0)\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "invalid syntax (, line 0)\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "closing parenthesis ')' does not match opening parenthesis '[' (, line 1)\n", + "closing parenthesis ')' does not match opening parenthesis '[' (, line 1)\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index -1 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0single positional indexer is out-of-bounds\n", + "\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "'str' object has no attribute 'str'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid syntax (, line 0)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + ":1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "invalid syntax (, line 0)\n", + "could not convert string to float: 'rating'\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "cannot convert float NaN to integer\n", + "invalid literal for int() with base 10: 'wd'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: ' consolidation'\n", + "invalid literal for int() with base 10: '280oooooconsolidation'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "invalid literal for int() with base 10: 'lost'\n", + "'<=' not supported between instances of 'str' and 'int'\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "invalid literal for int() with base 10: 'did not play'\n", + "invalid literal for int() with base 10: 'did not play'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "could not convert string to float: '-'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "could not convert string to float: 'total'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "'2008'\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n", + "index 0 is out of bounds for axis 0 with size 0\n", + "single positional indexer is out-of-bounds\n" + ] } ], "source": [ - "df" + "dataset = Dataset.from_pandas(data_sem_formats)\n", + "dd = dataset.map(find_bed_code,num_proc=16)" ] }, { "cell_type": "code", - "execution_count": 9, - "id": "a765ea6e-d141-430c-8908-c191c6a137e0", + "execution_count": 76, + "id": "cae76d5b-4e09-48cd-8342-8596cd7d205c", "metadata": {}, "outputs": [ { "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "47503a836d4c4db1a535dd8c3b1799c7", + "version_major": 2, + "version_minor": 0 + }, "text/plain": [ - "(20, 20)" + "Filter: 0%| | 0/12887 [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          id_xlabelid_yidtokens
          count709.000000709.000000709.000000709.000000709.000000
          mean673.6417490.438646673.641749673.641749932.351199
          std461.1023810.496572461.102381461.102381348.072602
          min2.0000000.0000002.0000002.000000628.000000
          25%276.0000000.000000276.000000276.000000776.000000
          50%634.0000000.000000634.000000634.000000860.000000
          75%926.0000001.000000926.000000926.000000975.000000
          max1690.0000001.0000001690.0000001690.0000004120.000000
          \n", + "" + ], "text/plain": [ - "'magnus larsson
          placerank - 1.0\"str\"0[\"4\", \"t5\", \"t8\"]
          playername - 1.0\"str\"0[\"tony jacklin\", \"deane beman\", \"george knudson\"]
          countrynationality - 1.0\"str\"0[\"england\", \"united states\", \"united states\"]
          scoreweight - 0.98\"str\"0[\"68 + 69 = 137\", \"68 + 72 = 140\", \"70 + 70 = 140\"]
          to parsex - 0.65\"str\"0[\"+ 1\", \"- 3\", \"e\"]
          '" + " id_x label id_y id tokens\n", + "count 709.000000 709.000000 709.000000 709.000000 709.000000\n", + "mean 673.641749 0.438646 673.641749 673.641749 932.351199\n", + "std 461.102381 0.496572 461.102381 461.102381 348.072602\n", + "min 2.000000 0.000000 2.000000 2.000000 628.000000\n", + "25% 276.000000 0.000000 276.000000 276.000000 776.000000\n", + "50% 634.000000 0.000000 634.000000 634.000000 860.000000\n", + "75% 926.000000 1.000000 926.000000 926.000000 975.000000\n", + "max 1690.000000 1.000000 1690.000000 1690.000000 4120.000000" ] }, - "execution_count": 9, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "serialize_table(df,description=dataset[7747]['table_caption'],model=model)" + "prompt_len.describe()" ] }, { "cell_type": "code", - "execution_count": 7, - "id": "d9de7813-20c8-41e1-91d5-10dccf153f9e", + "execution_count": 73, + "id": "8fe223df-510c-4c19-b275-1af594e62b4a", "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          id_xtable_csvtable_textlabelstatementtable_captionnlsep_querysemtab_querynlsep_answnlsep_label...defgen_answ_correctidcossimsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_labelsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_answ_correcterrcodecode_executebletokens
          2544392-12719328-2.html.csvname#team#laps#time / retired#grid#points\\nséb...0mechanical issue never prevent a racer from fi...2007 generac grand prixmechanical issue never prevent a racer from fi...mechanical issue never prevent a racer from fi...```\\n\"PANDA\": \"df.loc[df['retired'] != 'mechan...True...None439<TABLE DESCRIPTION=\"2007 generac grand prix\"><...Here is the single-line pandas expression that...TrueNoneSyntaxError: unterminated string literal (dete...all(df[df['time / retired'].str.contains('mech...False4120
          3656612-18974097-2.html.csvschool#location#mascot#size#ihsaa class#county...0all of the mascot , include west washington 's...indiana high school athletics conferences : oh...all of the mascot , include west washington 's...all of the mascot , include west washington 's...Here is the single-line pandas expression that...False...None661<TABLE DESCRIPTION=\"indiana high school athlet...Here is the single-line pandas expression that...TrueNoneSyntaxError: unterminated string literal (dete...all(df['mascot'].str.contains('bluejackets|com...False4120
          4127332-1122485-2.html.csvdriver#constructor#laps#time / retired#grid\\nm...1any driver below 75 lap care trouble of some k...1971 south african grand prixany driver below 75 lap care trouble of some k...any driver below 75 lap care trouble of some k...Here is the single-line pandas expression that...False...None733<TABLE DESCRIPTION=\"1971 south african grand p...```json\\n\"PANDA\": \"df[df['laps'] < 75]['time /...FalseNoneSyntaxError: unterminated string literal (dete...any(df[df['laps'] < 75]['time / retired'].str....False4120
          4908292-17736890-2.html.csvtie no#home team#score 1#away team#attendance\\...1the game between ipswich town and leyton orien...2008 - 09 football league cupthe game between ipswich town and leyton orien...the game between ipswich town and leyton orien...The game between Ipswich Town and Leyton Orien...False...None829<TABLE DESCRIPTION=\"2008 - 09 football league ...```json\\n\"PANDA\": \"df[df['home team'] == 'ipsw...TrueThe error is due to the fact that the comparis...SyntaxError: unterminated string literal (dete...df.loc[df['attendance'].replace({'cheltenham t...False4120
          \n", + "

          4 rows × 26 columns

          \n", + "
          " + ], "text/plain": [ - "{'id': 0,\n", - " 'statement': 'haroldo be mention as a brazil scorer for 2 different game',\n", - " 'label': 1,\n", - " 'table_caption': '1919 in brazilian football',\n", - " 'table_text': 'date#result#score#brazil scorers#competition\\nmay 11 , 1919#w#6 - 0#friedenreich (3) , neco (2) , haroldo#south american championship\\nmay 18 , 1919#w#3 - 1#heitor , amílcar , millon#south american championship\\nmay 26 , 1919#d#2 - 2#neco (2)#south american championship\\nmay 29 , 1919#w#1 - 0#friedenreich#south american championship\\njune 1 , 1919#d#3 - 3#haroldo , arlindo (2)#taça roberto cherry\\n',\n", - " 'pandas_code': \"df['brazil scorers'].apply(lambda x: 'haroldo' in x).sum() == 2\",\n", - " 'pandas_eval': 'True'}" + " id_x table_csv \\\n", + "254 439 2-12719328-2.html.csv \n", + "365 661 2-18974097-2.html.csv \n", + "412 733 2-1122485-2.html.csv \n", + "490 829 2-17736890-2.html.csv \n", + "\n", + " table_text label \\\n", + "254 name#team#laps#time / retired#grid#points\\nséb... 0 \n", + "365 school#location#mascot#size#ihsaa class#county... 0 \n", + "412 driver#constructor#laps#time / retired#grid\\nm... 1 \n", + "490 tie no#home team#score 1#away team#attendance\\... 1 \n", + "\n", + " statement \\\n", + "254 mechanical issue never prevent a racer from fi... \n", + "365 all of the mascot , include west washington 's... \n", + "412 any driver below 75 lap care trouble of some k... \n", + "490 the game between ipswich town and leyton orien... \n", + "\n", + " table_caption \\\n", + "254 2007 generac grand prix \n", + "365 indiana high school athletics conferences : oh... \n", + "412 1971 south african grand prix \n", + "490 2008 - 09 football league cup \n", + "\n", + " nlsep_query \\\n", + "254 mechanical issue never prevent a racer from fi... \n", + "365 all of the mascot , include west washington 's... \n", + "412 any driver below 75 lap care trouble of some k... \n", + "490 the game between ipswich town and leyton orien... \n", + "\n", + " semtab_query \\\n", + "254 mechanical issue never prevent a racer from fi... \n", + "365 all of the mascot , include west washington 's... \n", + "412 any driver below 75 lap care trouble of some k... \n", + "490 the game between ipswich town and leyton orien... \n", + "\n", + " nlsep_answ nlsep_label ... \\\n", + "254 ```\\n\"PANDA\": \"df.loc[df['retired'] != 'mechan... True ... \n", + "365 Here is the single-line pandas expression that... False ... \n", + "412 Here is the single-line pandas expression that... False ... \n", + "490 The game between Ipswich Town and Leyton Orien... False ... \n", + "\n", + " defgen_answ_correct id \\\n", + "254 None 439 \n", + "365 None 661 \n", + "412 None 733 \n", + "490 None 829 \n", + "\n", + " cossim \\\n", + "254 <... \n", + "365
          3500]" ] }, { "cell_type": "code", - "execution_count": 8, - "id": "01e6b976-836f-409c-873a-0ef4ebd819ba", + "execution_count": 74, + "id": "65678158-4f8d-40f4-8a69-ca6cbd2d7332", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "'/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests'" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" + "ename": "NameError", + "evalue": "name 'data_true' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[74], line 5\u001b[0m\n\u001b[1;32m 2\u001b[0m sep_data_len_token \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 3\u001b[0m sem_data_len_token \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m data \u001b[38;5;129;01min\u001b[39;00m tqdm(\u001b[43mdata_true\u001b[49m):\n\u001b[1;32m 6\u001b[0m sep_data_len_token\u001b[38;5;241m.\u001b[39mappend(compute_tokens_lenghts(data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnlsep_query\u001b[39m\u001b[38;5;124m'\u001b[39m],tokenizer))\n\u001b[1;32m 7\u001b[0m sem_data_len_token\u001b[38;5;241m.\u001b[39mappend(compute_tokens_lenghts(data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msemtab_query\u001b[39m\u001b[38;5;124m'\u001b[39m],tokenizer))\n", + "\u001b[0;31mNameError\u001b[0m: name 'data_true' is not defined" + ] } ], "source": [ - "pwd" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "53d437d9-89e0-4b77-930a-627430530498", - "metadata": {}, - "outputs": [], - "source": [ - "import json\n", - "import pandas as pd\n", - "from io import StringIO\n", "from tqdm import tqdm\n", - "from utils.utils import serialize_table\n", - "from utils.doduo.doduo import Doduo\n", - "import argparse\n", - "from functools import partial\n", + "sep_data_len_token = []\n", + "sem_data_len_token = []\n", "\n", - "def convert_dataset_to_nlsep_format(model,data):\n", - " df = pd.read_csv(StringIO(data['table_text']), delimiter='#')\n", - " data['nlsep_query'] = data['statement'] + ' ' + serialize_table_to_tapex_format(df)\n", - " data['semtab_query'] = data['statement'] + ' ' + serialize_table(df,model=model, description=data['table_caption'],basedir='../utils/doduo/')\n", - " return data\n" + "for data in tqdm(data_true):\n", + " sep_data_len_token.append(compute_tokens_lenghts(data['nlsep_query'],tokenizer))\n", + " sem_data_len_token.append(compute_tokens_lenghts(data['semtab_query'],tokenizer))" ] }, { "cell_type": "code", - "execution_count": 42, - "id": "8a50d816-3284-4e2e-b658-2d3427f05a8f", + "execution_count": null, + "id": "3153ffcf-2eb9-494f-bdd7-761c8195290b", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Some weights of BertForMultiOutputClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']\n", - "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" - ] - } - ], + "outputs": [], "source": [ - "model_type = \"viznet\"\n", - "device = 'cpu'\n", - "model = Doduo(argparse.Namespace(**{'model': model_type, 'device': device}),basedir='../utils/doduo/')\n", - "doduo_convert_dataset_to_nlsep_format = partial(convert_dataset_to_nlsep_format,model)\n" + "count_columns = []\n", + "count_rows = []\n", + "for data in tqdm(data_true):\n", + " df = pd.read_csv(StringIO(data['table_text']), delimiter='#')\n", + " count_columns.append(df.shape[1])\n", + " count_rows.append(df.shape[0])" ] }, { "cell_type": "code", - "execution_count": 37, - "id": "8fb78845-833a-4204-9378-9036b45aa487", + "execution_count": 75, + "id": "946dcde4-200b-427f-a400-daad30ec2581", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "47d94724-2e8f-4068-a593-8ed82f0538c2", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'doduo_convert_dataset_to_nlsep_format' is not defined", + "ename": "ValueError", + "evalue": "max() arg is an empty sequence", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[7], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m dataset2 \u001b[38;5;241m=\u001b[39m dataset\u001b[38;5;241m.\u001b[39mmap(\u001b[43mdoduo_convert_dataset_to_nlsep_format\u001b[49m)\n\u001b[1;32m 2\u001b[0m dataset2\u001b[38;5;241m.\u001b[39msave_to_disk(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m./new_dataset\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "\u001b[0;31mNameError\u001b[0m: name 'doduo_convert_dataset_to_nlsep_format' is not defined" + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[75], line 5\u001b[0m\n\u001b[1;32m 3\u001b[0m sem_data_len_token \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(sem_data_len_token)\n\u001b[1;32m 4\u001b[0m dif_token \u001b[38;5;241m=\u001b[39m sem_data_len_token \u001b[38;5;241m-\u001b[39m sep_data_len_token\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;28;43mmax\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mdif_token\u001b[49m\u001b[43m)\u001b[49m,\u001b[38;5;28mmin\u001b[39m(dif_token),dif_token\u001b[38;5;241m.\u001b[39mmean(),dif_token\u001b[38;5;241m.\u001b[39mstd())\n", + "\u001b[0;31mValueError\u001b[0m: max() arg is an empty sequence" ] } ], "source": [ - "dataset2 = dataset.map(doduo_convert_dataset_to_nlsep_format)\n", - "dataset2.save_to_disk('./new_dataset')" + "import numpy as np \n", + "sep_data_len_token = np.array(sep_data_len_token)\n", + "sem_data_len_token = np.array(sem_data_len_token)\n", + "dif_token = sem_data_len_token - sep_data_len_token\n", + "print(max(dif_token),min(dif_token),dif_token.mean(),dif_token.std())" ] }, { "cell_type": "code", - "execution_count": 44, - "id": "fca864c2-b96f-4628-87ce-930fc4aa3acf", + "execution_count": 83, + "id": "a40669bb-a4a1-4420-82cb-7d6f98cbaeab", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Saving the dataset (1/1 shards): 100%|██████████| 88223/88223 [00:00<00:00, 549715.04 examples/s]\n" + "100%|██████████| 12887/12887 [00:11<00:00, 1164.66it/s]\n" ] } ], "source": [ - "dataset2.save_to_disk('./new_dataset')" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "8757a358-ed02-430d-9232-9bd3f468ea45", - "metadata": {}, - "outputs": [], - "source": [ - "from datasets import load_from_disk" + "count_columns = []\n", + "count_rows = []\n", + "for data in tqdm(Dataset.from_pandas(data_sem_formats)):\n", + " df = pd.read_csv(StringIO(data['table_text']), delimiter='#')\n", + " count_columns.append(df.shape[1])\n", + " count_rows.append(df.shape[0])" ] }, { "cell_type": "code", - "execution_count": 9, - "id": "bb41e940-dd62-46ad-8916-54701b0a72b1", + "execution_count": 84, + "id": "bd5c5174-4c23-4ef2-b7aa-adc4fc1d4c8d", "metadata": {}, "outputs": [], "source": [ - "data = load_from_disk('new_dataset')" + "import numpy as np \n", + "sep_data_len_token = np.array(sep_data_len_token)\n", + "cossim_data_len_token = np.array(cossim_data_len_token)\n", + "defgen_data_len_token = np.array(defgen_data_len_token)\n", + "diff = np.array(diff)\n" ] }, { "cell_type": "code", - "execution_count": 12, - "id": "afb0fe7e-d90f-4dc0-80c7-5a08a3c95462", + "execution_count": 81, + "id": "e492d646-5d3f-4d11-a75a-f14eae8d47d9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Dataset({\n", - " features: ['id', 'statement', 'label', 'table_caption', 'table_text', 'pandas_code', 'pandas_eval', 'nlsep_query', 'semtab_query'],\n", - " num_rows: 88223\n", - "})" + "np.float64(-10.829518119034686)" ] }, - "execution_count": 12, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data" + "diff.mean()" ] }, { "cell_type": "code", - "execution_count": 13, - "id": "98bb02d7-1a3f-4d27-8483-cad70edd1d41", + "execution_count": 85, + "id": "2c01b3f7-7697-4466-b5fd-c9fd5c37c0e0", + "metadata": {}, + "outputs": [], + "source": [ + "df_dif = pd.DataFrame({'NL+sep':sep_data_len_token,'SemTab':cossim_data_len_token,'DefGen':defgen_data_len_token,\n", + " 'count columns':count_columns,'count rows':count_rows,'diff' : diff}) " + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "8fc5c5b1-c923-4333-882b-175f6f71653c", "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "Filter: 100%|██████████| 88223/88223 [00:00<00:00, 107486.06 examples/s]\n" - ] + "data": { + "text/html": [ + "
          \n", + "\n", + "
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          NL+sepSemTabDefGencount columnscount rowsdiff
          count12887.00000012887.00000012887.00000012887.00000012887.00000012887.000000
          mean552.196477562.551874551.7223566.22278313.361838-10.829518
          std368.802703138.530085155.9951601.5203988.36583858.830547
          min106.000000338.000000256.0000005.0000004.000000-504.000000
          25%295.000000462.000000453.0000005.0000007.000000-40.000000
          50%420.000000531.000000525.0000006.00000011.000000-11.000000
          75%712.000000637.000000619.0000007.00000017.00000017.000000
          max2707.0000001891.0000002881.00000020.00000048.0000001231.000000
          \n", + "" + ], + "text/plain": [ + " NL+sep SemTab DefGen count columns count rows \\\n", + "count 12887.000000 12887.000000 12887.000000 12887.000000 12887.000000 \n", + "mean 552.196477 562.551874 551.722356 6.222783 13.361838 \n", + "std 368.802703 138.530085 155.995160 1.520398 8.365838 \n", + "min 106.000000 338.000000 256.000000 5.000000 4.000000 \n", + "25% 295.000000 462.000000 453.000000 5.000000 7.000000 \n", + "50% 420.000000 531.000000 525.000000 6.000000 11.000000 \n", + "75% 712.000000 637.000000 619.000000 7.000000 17.000000 \n", + "max 2707.000000 1891.000000 2881.000000 20.000000 48.000000 \n", + "\n", + " diff \n", + "count 12887.000000 \n", + "mean -10.829518 \n", + "std 58.830547 \n", + "min -504.000000 \n", + "25% -40.000000 \n", + "50% -11.000000 \n", + "75% 17.000000 \n", + "max 1231.000000 " + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "data_false = data.filter(lambda x: True if x['semtab_query']=='None' else False)" + "df_dif.describe()" ] }, { "cell_type": "code", - "execution_count": 56, - "id": "687f6e57-fac8-4d21-bf55-379e07e98e24", + "execution_count": 244, + "id": "5c4b6c47-12c0-474f-83de-9ca535bb2295", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/bin/python\n" - ] + "data": { + "text/plain": [ + "38.45736013036393" + ] + }, + "execution_count": 244, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "import sys\n", - "print(sys.executable)" + "df_dif[df_dif['diff']>0].shape[0]/df_dif.shape[0]*100" ] }, { "cell_type": "code", - "execution_count": 16, - "id": "c1a94c7a-4dc3-4976-adf2-6be48af01691", + "execution_count": 245, + "id": "1e3c02fb-64ed-408f-b71b-b85fea9c56ad", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.12128356551012774" + "1.1018856211686194" ] }, - "execution_count": 16, + "execution_count": 245, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data_false.shape[0]/data.shape[0] *100" + "df_dif[df_dif['diff']==0].shape[0]/df_dif.shape[0]*100" ] }, { "cell_type": "code", - "execution_count": 10, - "id": "44327594-d45c-4c02-8106-3a76152009b6", + "execution_count": 246, + "id": "046d72ac-2c8e-4e24-ad60-5ea5f5d0a612", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "60.44075424846744" + ] + }, + "execution_count": 246, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "data_true = data.filter(lambda x: True if x['semtab_query']!='None' else False)" + "df_dif[df_dif['diff']<0].shape[0]/df_dif.shape[0]*100" ] }, { "cell_type": "code", - "execution_count": 102, - "id": "494e8f05-4350-4fef-9eac-ecf32d473651", + "execution_count": 237, + "id": "70ee3b7d-9078-4748-9e1d-5ff23268a8cd", "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "Saving the dataset (1/1 shards): 100%|██████████| 88116/88116 [00:00<00:00, 96170.74 examples/s]\n" - ] + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 237, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
          " + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "data_true.save_to_disk('none_filtered_new_dataset')" + "df_dif.plot()" ] }, { "cell_type": "code", - "execution_count": null, - "id": "e6f22813-38be-4b5a-89ae-a4b578656c26", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 101, - "id": "bc9dcfa8-fc0b-4682-a564-313a4270bb87", + "execution_count": 88, + "id": "320ebb0e-c4b9-4159-9ee4-dcbb54ccc4f4", "metadata": {}, "outputs": [ { - "ename": "FileNotFoundError", - "evalue": "Directory none_filtered_new_dataset not found", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[101], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m entry[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mproto_query\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mentry[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstatement\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mentry[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtable_text\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m entry\n\u001b[0;32m----> 4\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[43mload_from_disk\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mnone_filtered_new_dataset\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m data2 \u001b[38;5;241m=\u001b[39m data\u001b[38;5;241m.\u001b[39mmap(name_proto_query,num_proc\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m17\u001b[39m)\n", - "File \u001b[0;32m/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages/datasets/load.py:1471\u001b[0m, in \u001b[0;36mload_from_disk\u001b[0;34m(dataset_path, keep_in_memory, storage_options)\u001b[0m\n\u001b[1;32m 1469\u001b[0m fs, \u001b[38;5;241m*\u001b[39m_ \u001b[38;5;241m=\u001b[39m url_to_fs(dataset_path, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m(storage_options \u001b[38;5;129;01mor\u001b[39;00m {}))\n\u001b[1;32m 1470\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m fs\u001b[38;5;241m.\u001b[39mexists(dataset_path):\n\u001b[0;32m-> 1471\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDirectory \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdataset_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1472\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m fs\u001b[38;5;241m.\u001b[39misfile(posixpath\u001b[38;5;241m.\u001b[39mjoin(dataset_path, config\u001b[38;5;241m.\u001b[39mDATASET_INFO_FILENAME)) \u001b[38;5;129;01mand\u001b[39;00m fs\u001b[38;5;241m.\u001b[39misfile(\n\u001b[1;32m 1473\u001b[0m posixpath\u001b[38;5;241m.\u001b[39mjoin(dataset_path, config\u001b[38;5;241m.\u001b[39mDATASET_STATE_JSON_FILENAME)\n\u001b[1;32m 1474\u001b[0m ):\n\u001b[1;32m 1475\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m Dataset\u001b[38;5;241m.\u001b[39mload_from_disk(dataset_path, keep_in_memory\u001b[38;5;241m=\u001b[39mkeep_in_memory, storage_options\u001b[38;5;241m=\u001b[39mstorage_options)\n", - "\u001b[0;31mFileNotFoundError\u001b[0m: Directory none_filtered_new_dataset not found" - ] + "data": { + "image/png": "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", + "text/plain": [ + "
          " + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "def name_proto_query(entry):\n", - " entry['proto_query'] = f'{entry[\"statement\"]} {entry[\"table_text\"]}'\n", - " return entry\n", - "data = load_from_disk('none_filtered_new_dataset')\n", - "data2 = data.map(name_proto_query,num_proc=17)\n" + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Настройка стиля\n", + "sns.set_style(\"whitegrid\")\n", + "\n", + "# Создаем фигуру с двумя подграфиками\n", + "fig, axes = plt.subplots(1, 2, figsize=(15, 6))\n", + "\n", + "# Первый график с регрессионной линией\n", + "\n", + "sns.regplot(data=df_dif, x='count columns', y='NL+sep', \n", + " scatter_kws={'alpha': 0.6}, line_kws={'color': 'green'}, ax=axes[0],label = 'NL+sep')\n", + "sns.regplot(data=df_dif, x='count columns', y='SemTab', \n", + " scatter_kws={'alpha': 0.6}, line_kws={'color': 'red'}, ax=axes[0],label='SemTab')\n", + "#sns.regplot(data=df_dif, x='count columns', y='DefGen', \n", + "# scatter_kws={'alpha': 0.6}, line_kws={'color': 'blue'}, ax=axes[0],label='DefGen')\n", + "\n", + "axes[0].set_xlabel('Количество столбцов')\n", + "axes[0].set_ylabel('К-во токенов')\n", + "axes[0].set_title('Зависимость числа токенов от количества столбцов')\n", + "\n", + "# Второй график с регрессионной линией\n", + "\n", + "sns.regplot(data=df_dif, x='count rows', y='NL+sep', \n", + " scatter_kws={'alpha': 0.6}, line_kws={'color': 'green'}, ax=axes[1],label = 'NL+sep')\n", + "sns.regplot(data=df_dif, x='count rows', y='SemTab', \n", + " scatter_kws={'alpha': 0.6}, line_kws={'color': 'red'}, ax=axes[1],label='SemTab')\n", + "#sns.regplot(data=df_dif, x='count rows', y='DefGen', \n", + " # scatter_kws={'alpha': 0.6}, line_kws={'color': 'blue'}, ax=axes[0],label='DefGen')\n", + "\n", + "axes[1].set_xlabel('Количество строк')\n", + "axes[1].set_ylabel('К-во токенов')\n", + "axes[1].set_title('Зависимость числа токенов от количества строк')\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "plt.savefig('./row_col_tokens.png',dpi=300)\n", + "plt.show()\n" ] }, { "cell_type": "code", - "execution_count": 103, - "id": "b64c7daf-d9d0-4823-83d1-3c5c53639480", + "execution_count": 161, + "id": "6bdc77aa-a676-472c-a4d8-236b5a191fe1", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Saving the dataset (1/1 shards): 100%|██████████| 88116/88116 [00:00<00:00, 152881.66 examples/s]\n" - ] - } - ], + "outputs": [], "source": [ - "data2.save_to_disk('none_filtered_new_dataset2')" + "process_data = load_from_disk('answer_gen_none_filtered_new_dataset')" ] }, { "cell_type": "code", - "execution_count": 105, - "id": "d32a76da-ccdf-4353-954f-a09bc1748a4e", + "execution_count": 164, + "id": "b2474a23-64a0-4217-92bf-fbaed1a6b7a9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'id': 0,\n", - " 'statement': 'haroldo be mention as a brazil scorer for 2 different game',\n", - " 'label': 1,\n", - " 'table_caption': '1919 in brazilian football',\n", - " 'table_text': 'date#result#score#brazil scorers#competition\\nmay 11 , 1919#w#6 - 0#friedenreich (3) , neco (2) , haroldo#south american championship\\nmay 18 , 1919#w#3 - 1#heitor , amílcar , millon#south american championship\\nmay 26 , 1919#d#2 - 2#neco (2)#south american championship\\nmay 29 , 1919#w#1 - 0#friedenreich#south american championship\\njune 1 , 1919#d#3 - 3#haroldo , arlindo (2)#taça roberto cherry\\n',\n", - " 'pandas_code': \"df['brazil scorers'].apply(lambda x: 'haroldo' in x).sum() == 2\",\n", - " 'pandas_eval': 'True',\n", - " 'nlsep_query': 'haroldo be mention as a brazil scorer for 2 different game col : date | result | score | brazil scorers | competition row 1 : may 11 , 1919 | w | 6 - 0 | friedenreich (3) , neco (2) , haroldo | south american championship row 2 : may 18 , 1919 | w | 3 - 1 | heitor , amílcar , millon | south american championship row 3 : may 26 , 1919 | d | 2 - 2 | neco (2) | south american championship row 4 : may 29 , 1919 | w | 1 - 0 | friedenreich | south american championship row 5 : june 1 , 1919 | d | 3 - 3 | haroldo , arlindo (2) | taça roberto cherry',\n", - " 'semtab_query': 'haroldo be mention as a brazil scorer for 2 different game 1919 in brazilian football
          datebirthDate - 1.0\"str\"0[\"may 26 , 1919\", \"may 29 , 1919\", \"june 1 , 1919\"]
          resultcode - 0.6\"str\"0[\"d\", \"d\", \"w\"]
          score\"str\"0[\"3 - 3\", \"6 - 0\", \"3 - 1\"]
          brazil scorersresult - 1.0\"str\"0[\"neco (2)\", \"heitor , am\\\\u00edlcar , millon\", \"friedenreich (3) , neco (2) , haroldo\"]
          competitionnotes - 0.98\"str\"0[\"south american championship\", \"south american championship\", \"ta\\\\u00e7a roberto cherry\"]
          ',\n", - " 'proto_query': 'haroldo be mention as a brazil scorer for 2 different game date#result#score#brazil scorers#competition\\nmay 11 , 1919#w#6 - 0#friedenreich (3) , neco (2) , haroldo#south american championship\\nmay 18 , 1919#w#3 - 1#heitor , amílcar , millon#south american championship\\nmay 26 , 1919#d#2 - 2#neco (2)#south american championship\\nmay 29 , 1919#w#1 - 0#friedenreich#south american championship\\njune 1 , 1919#d#3 - 3#haroldo , arlindo (2)#taça roberto cherry\\n'}" + "Dataset({\n", + " features: ['id', 'statement', 'label', 'table_caption', 'table_text', 'pandas_code', 'pandas_eval', 'nlsep_query', 'semtab_query'],\n", + " num_rows: 88116\n", + "})" ] }, - "execution_count": 105, + "execution_count": 164, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data2[0]" + "process_data" ] }, { "cell_type": "code", - "execution_count": 104, - "id": "b7465871-bb60-4114-88eb-bd40ed16e622", + "execution_count": 20, + "id": "11557ee0-b797-47a3-94f3-8cdbffeba94a", "metadata": {}, "outputs": [ { "ename": "NameError", - "evalue": "name 'data_false' is not defined", + "evalue": "name 'process_data' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[104], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdata_false\u001b[49m\n", - "\u001b[0;31mNameError\u001b[0m: name 'data_false' is not defined" + "Cell \u001b[0;32mIn[20], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mprocess_data\u001b[49m[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msemtab_query\u001b[39m\u001b[38;5;124m'\u001b[39m]\n", + "\u001b[0;31mNameError\u001b[0m: name 'process_data' is not defined" ] } ], "source": [ - "data_false" + "process_data[0]['semtab_query']" ] }, { "cell_type": "code", - "execution_count": 11, - "id": "5afcb686-d897-47f0-b537-873aec267aa5", + "execution_count": null, + "id": "5ee81d89-0c04-4d5c-9e98-a69b66235af9", "metadata": {}, "outputs": [], "source": [ - "def get_count_df_columns(table_str):\n", - " df = pd.read_csv(StringIO(table_str), delimiter='#')\n", - " return df.shape[1]\n", - "dt = data_true.filter(lambda x: True if get_count_df_columns(x['table_text']) > 20 else False,num_proc=10)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "e4263ff2-f0c7-477b-929f-802927fc7fdf", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "during 1993 - 94 victorian premier league season south melbourne fc did not participate south melbourne fc
          competitionlocation - 0.72\"str\"0[\"ofc / afc champions league\", \"nsl / a - league\", \"ffv cup\"]
          1993 - 94result - 0.81\"str\"0[\"did not participate\", \"2nd\", \"did not participate\"]
          1994 - 95\"str\"0[\"did not participate\", \"sf\", \"sf\"]
          1995 - 96result - 0.74\"str\"0[\"did not participate\", \"w\", \"w\"]
          1996 - 97notes - 0.68\"str\"0[\"sf\", \"did not participate\", \"pf\"]
          1997 - 98\"str\"0[\"1st\", \"did not participate\", \"competition not held\"]
          1998 - 99result - 0.82\"str\"0[\"did not participate\", \"competition not held\", \"did not participate\"]
          1999 - 2000notes - 0.88\"str\"0[\"did not participate\", \"did not participate\", \"competition not held\"]
          2000 - 01notes - 0.83\"str\"0[\"competition not held\", \"1st\", \"competition not held\"]
          2001 - 02rank - 0.81\"str\"0[\"5th\", \"did not participate\", \"did not participate\"]
          2002 - 03\"str\"0[\"dnp\", \"did not participate\", \"competition not held\"]
          2003 - 04status - 0.83\"str\"0[\"did not participate\", \"dnp\", \"did not participate\"]
          2005status - 0.88\"str\"0[\"did not participate\", \"did not participate\", \"pf\"]
          2006notes - 0.61\"str\"0[\"did not participate\", \"did not participate\", \"did not participate\"]
          2007\"str\"0[\"did not participate\", \"did not participate\", \"competition not held\"]
          2008\"str\"0[\"dnp\", \"competition not held\", \"did not participate\"]
          2009result - 0.7\"str\"0[\"competition not held\", \"did not participate\", \"competition not held\"]
          2010notes - 0.66\"str\"0[\"competition not held\", \"competition not held\", \"dnp\"]
          2011notes - 0.85\"str\"0[\"did not participate\", \"did not participate\", \"4th\"]
          2012\"str\"0[\"did not participate\", \"dnp\", \"6th\"]
          2013notes - 0.55\"str\"0[\"competition not held\", \"did not participate\", \"sf\"]
          2014\"str\"0[\"did not participate\", \"did not participate\", \"-\"]
          \n" - ] - } - ], - "source": [ - "print(dt[0]['semtab_query'])" - ] - }, - { - "cell_type": "code", - "execution_count": 135, - "id": "85144c41-8eb5-4b2d-8697-6cd69851db45", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "\n", - "\tsouth melbourne fc\n", - "\t
          \n", - "\t\tcompetition\n", - "\t\tlocation - 0.72\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["ofc / afc champions league", "nsl / a - league", "ffv cup"]\n", - "\t
          \n", - "\t
          \n", - "\t\t1993 - 94\n", - "\t\tresult - 0.81\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "2nd", "did not participate"]\n", - "\t
          \n", - "\t
          \n", - "\t\t1994 - 95\n", - "\t\t\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "sf", "sf"]\n", - "\t
          \n", - "\t
          \n", - "\t\t1995 - 96\n", - "\t\tresult - 0.74\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "w", "w"]\n", - "\t
          \n", - "\t
          \n", - "\t\t1996 - 97\n", - "\t\tnotes - 0.68\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["sf", "did not participate", "pf"]\n", - "\t
          \n", - "\t
          \n", - "\t\t1997 - 98\n", - "\t\t\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["1st", "did not participate", "competition not held"]\n", - "\t
          \n", - "\t
          \n", - "\t\t1998 - 99\n", - "\t\tresult - 0.82\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "competition not held", "did not participate"]\n", - "\t
          \n", - "\t
          \n", - "\t\t1999 - 2000\n", - "\t\tnotes - 0.88\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "did not participate", "competition not held"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2000 - 01\n", - "\t\tnotes - 0.83\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["competition not held", "1st", "competition not held"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2001 - 02\n", - "\t\trank - 0.81\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["5th", "did not participate", "did not participate"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2002 - 03\n", - "\t\t\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["dnp", "did not participate", "competition not held"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2003 - 04\n", - "\t\tstatus - 0.83\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "dnp", "did not participate"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2005\n", - "\t\tstatus - 0.88\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "did not participate", "pf"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2006\n", - "\t\tnotes - 0.61\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "did not participate", "did not participate"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2007\n", - "\t\t\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "did not participate", "competition not held"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2008\n", - "\t\t\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["dnp", "competition not held", "did not participate"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2009\n", - "\t\tresult - 0.7\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["competition not held", "did not participate", "competition not held"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2010\n", - "\t\tnotes - 0.66\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["competition not held", "competition not held", "dnp"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2011\n", - "\t\tnotes - 0.85\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "did not participate", "4th"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2012\n", - "\t\t\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "dnp", "6th"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2013\n", - "\t\tnotes - 0.55\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["competition not held", "did not participate", "sf"]\n", - "\t
          \n", - "\t
          \n", - "\t\t2014\n", - "\t\t\n", - "\t\t"str"\n", - "\t\t0\n", - "\t\t["did not participate", "did not participate", "-"]\n", - "\t
          \n", - "
          \n", - "\n" - ] - } - ], - "source": [ - "import xml.dom.minidom\n", - "\n", - "xml_string = \"\"\"south melbourne fc
          competitionlocation - 0.72\"str\"0[\"ofc / afc champions league\", \"nsl / a - league\", \"ffv cup\"]
          1993 - 94result - 0.81\"str\"0[\"did not participate\", \"2nd\", \"did not participate\"]
          1994 - 95\"str\"0[\"did not participate\", \"sf\", \"sf\"]
          1995 - 96result - 0.74\"str\"0[\"did not participate\", \"w\", \"w\"]
          1996 - 97notes - 0.68\"str\"0[\"sf\", \"did not participate\", \"pf\"]
          1997 - 98\"str\"0[\"1st\", \"did not participate\", \"competition not held\"]
          1998 - 99result - 0.82\"str\"0[\"did not participate\", \"competition not held\", \"did not participate\"]
          1999 - 2000notes - 0.88\"str\"0[\"did not participate\", \"did not participate\", \"competition not held\"]
          2000 - 01notes - 0.83\"str\"0[\"competition not held\", \"1st\", \"competition not held\"]
          2001 - 02rank - 0.81\"str\"0[\"5th\", \"did not participate\", \"did not participate\"]
          2002 - 03\"str\"0[\"dnp\", \"did not participate\", \"competition not held\"]
          2003 - 04status - 0.83\"str\"0[\"did not participate\", \"dnp\", \"did not participate\"]
          2005status - 0.88\"str\"0[\"did not participate\", \"did not participate\", \"pf\"]
          2006notes - 0.61\"str\"0[\"did not participate\", \"did not participate\", \"did not participate\"]
          2007\"str\"0[\"did not participate\", \"did not participate\", \"competition not held\"]
          2008\"str\"0[\"dnp\", \"competition not held\", \"did not participate\"]
          2009result - 0.7\"str\"0[\"competition not held\", \"did not participate\", \"competition not held\"]
          2010notes - 0.66\"str\"0[\"competition not held\", \"competition not held\", \"dnp\"]
          2011notes - 0.85\"str\"0[\"did not participate\", \"did not participate\", \"4th\"]
          2012\"str\"0[\"did not participate\", \"dnp\", \"6th\"]
          2013notes - 0.55\"str\"0[\"competition not held\", \"did not participate\", \"sf\"]
          2014\"str\"0[\"did not participate\", \"did not participate\", \"-\"]
          \"\"\"\n", + "corrects = 0\n", + "total = 0\n", "\n", - "# Парсим строку\n", - "dom = xml.dom.minidom.parseString(xml_string)\n", "\n", - "# Преобразуем в форматированную строку с отступами\n", - "pretty_xml_string = dom.toprettyxml()\n", + "# Validate entries\n", + "def get_accurate(dataset,answ_field):\n", + " corrects = 0\n", + " for entry in tqdm(dataset):\n", + " df = pd.read_csv(StringIO(entry['table_text']), delimiter='#')\n", + " pandas_eval = str(bool(eval(entry['answ_field'])))\n", + " if str(bool(entry['label'])) == str(pandas_eval):\n", + " corrects += 1\n", "\n", - "# Выводим на печать\n", - "print(pretty_xml_string)" + "print(corrects, total, corrects / total)" ] }, { "cell_type": "code", - "execution_count": 132, - "id": "6d295be4-a38f-4b45-a677-b3231f1e35a1", + "execution_count": 112, + "id": "fc60f1d7-68c7-4013-8471-65f187fcee97", "metadata": {}, "outputs": [], "source": [ - "import xml.etree.ElementTree as ET\n", - "root = ET.fromstring('south melbourne fc
          competitionlocation - 0.72\"str\"0[\"ofc / afc champions league\", \"nsl / a - league\", \"ffv cup\"]
          1993 - 94result - 0.81\"str\"0[\"did not participate\", \"2nd\", \"did not participate\"]
          1994 - 95\"str\"0[\"did not participate\", \"sf\", \"sf\"]
          1995 - 96result - 0.74\"str\"0[\"did not participate\", \"w\", \"w\"]
          1996 - 97notes - 0.68\"str\"0[\"sf\", \"did not participate\", \"pf\"]
          1997 - 98\"str\"0[\"1st\", \"did not participate\", \"competition not held\"]
          1998 - 99result - 0.82\"str\"0[\"did not participate\", \"competition not held\", \"did not participate\"]
          1999 - 2000notes - 0.88\"str\"0[\"did not participate\", \"did not participate\", \"competition not held\"]
          2000 - 01notes - 0.83\"str\"0[\"competition not held\", \"1st\", \"competition not held\"]
          2001 - 02rank - 0.81\"str\"0[\"5th\", \"did not participate\", \"did not participate\"]
          2002 - 03\"str\"0[\"dnp\", \"did not participate\", \"competition not held\"]
          2003 - 04status - 0.83\"str\"0[\"did not participate\", \"dnp\", \"did not participate\"]
          2005status - 0.88\"str\"0[\"did not participate\", \"did not participate\", \"pf\"]
          2006notes - 0.61\"str\"0[\"did not participate\", \"did not participate\", \"did not participate\"]
          2007\"str\"0[\"did not participate\", \"did not participate\", \"competition not held\"]
          2008\"str\"0[\"dnp\", \"competition not held\", \"did not participate\"]
          2009result - 0.7\"str\"0[\"competition not held\", \"did not participate\", \"competition not held\"]
          2010notes - 0.66\"str\"0[\"competition not held\", \"competition not held\", \"dnp\"]
          2011notes - 0.85\"str\"0[\"did not participate\", \"did not participate\", \"4th\"]
          2012\"str\"0[\"did not participate\", \"dnp\", \"6th\"]
          2013notes - 0.55\"str\"0[\"competition not held\", \"did not participate\", \"sf\"]
          2014\"str\"0[\"did not participate\", \"did not participate\", \"-\"]
          ')" + "p,t = (1,12)" ] }, { "cell_type": "code", - "execution_count": 134, - "id": "1be77a9c-921a-49fd-96e6-c5ff9ca0d31e", + "execution_count": 113, + "id": "9baa5180-c4b7-48e1-85fd-8d1460bd16dd", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "print(root)" + "p" ] }, { - "cell_type": "code", - "execution_count": 22, - "id": "2bfd3701-f42b-45dd-a354-67b6fdb8834c", + "cell_type": "code", + "execution_count": 125, + "id": "bac0a54b-e587-45ff-980e-b3ba9b6be504", "metadata": {}, "outputs": [], "source": [ - "sep_data_len = []\n", - "sem_data_len = []\n", - "for data in data_true:\n", - " sep_data_len.append(len(data['nlsep_query']))\n", - " sem_data_len.append(len(data['semtab_query']))" + "serialization_type='ttyt'\n", + "notation=None\n", + "param_position=None\n", + "keys = [x for x in (serialization_type,notation,param_position) if x != None]" ] }, { "cell_type": "code", - "execution_count": 45, - "id": "0c8e8517-9c54-4ff5-b59c-02b7179dbec6", + "execution_count": 126, + "id": "96be132f-cc9e-41c5-87df-263c354431ed", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(30487,)" + "'ttyt'" ] }, - "execution_count": 45, + "execution_count": 126, "metadata": {}, "output_type": "execute_result" } ], "source": [ - " dif[dif<0].shape" + "'_'.join(keys)" ] }, { "cell_type": "code", - "execution_count": 23, - "id": "8f63e033-60e5-4947-87ce-5be353235904", + "execution_count": 68, + "id": "17908f7c-519a-41c3-b832-5a1ac35d1a07", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "2317 -6940 71.05049026283535 772.3828916818711\n" - ] + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['statement', 'table_text', 'pandas_code', 'pandas_eval', 'table_csv', 'label', 'table_caption', '__index_level_0__', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50'],\n", + " num_rows: 13167\n", + "})" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "import numpy as np \n", - "sep_data_len = np.array(sep_data_len)\n", - "sem_data_len = np.array(sem_data_len)\n", - "dif = sem_data_len - sep_data_len\n", - "print(max(dif),min(dif),dif.mean(),dif.std())\n" + "data = load_from_disk('pantab_fact_train_unique_tables_defgen')\n", + "data" ] }, { "cell_type": "code", - "execution_count": 46, - "id": "26906282-1dfb-4e3b-bb94-838c05f7a761", + "execution_count": 70, + "id": "81d8798b-5060-44c2-b22e-f5330d81a578", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Процент примеров превышающих соответствующее семантическое представление 34.598710790321846\n" - ] + "data": { + "text/plain": [ + "'date#result#score#brazil scorers#competition\\nmay 11 , 1919#w#6 - 0#friedenreich (3) , neco (2) , haroldo#south american championship\\nmay 18 , 1919#w#3 - 1#heitor , amílcar , millon#south american championship\\nmay 26 , 1919#d#2 - 2#neco (2)#south american championship\\nmay 29 , 1919#w#1 - 0#friedenreich#south american championship\\njune 1 , 1919#d#3 - 3#haroldo , arlindo (2)#taça roberto cherry\\n'" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "print('Процент примеров превышающих соответствующее семантическое представление', \n", - " dif[dif<0].shape[0]/dif.shape[0]*100)" + "data[0]['table_text']" ] }, { "cell_type": "code", - "execution_count": 47, - "id": "355097ec-e455-43d8-9e98-07238719050d", + "execution_count": 71, + "id": "69431310-9077-4cb8-8c4a-c84bc2dcf206", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Процент примеров равных семантическое представление 0.06128285441917473\n" - ] - } - ], + "outputs": [], "source": [ - "print('Процент примеров равных семантическое представление', \n", - " dif[dif == 0].shape[0]/dif.shape[0]*100)" + "from sklearn.model_selection import train_test_split" ] }, { "cell_type": "code", - "execution_count": 51, - "id": "0fcec7d9-d074-4cb1-b867-f773e5752297", + "execution_count": 72, + "id": "84738994-c23d-4f6b-aae6-77757ab51e2c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Процент примеров отличающихся не более чем на окно в 50 символов от семантическое представление 9.173135412410913\n" + "Обучающая выборка: 10533 примеров\n", + "Тестовая выборка: 2634 примеров\n", + "\n", + "Распределение меток в train: Counter({1: 10248, 0: 285})\n", + "Распределение меток в test: Counter({1: 2563, 0: 71})\n" ] } ], "source": [ - "print('Процент примеров отличающихся не более чем на окно в 50 символов от семантическое представление', \n", - " dif[(dif <= 100) & (dif >= -100) ].shape[0]/dif.shape[0]*100)" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "id": "739ab108-4e3a-4729-b647-9f81a84b1bfb", - "metadata": {}, - "outputs": [], - "source": [ - "df_dif = pd.DataFrame({'NL+sep':sep_data_len,'Semantic headers':sem_data_len,'dif':dif}) " + "from datasets import load_from_disk, Dataset\n", + "from sklearn.model_selection import train_test_split\n", + "import numpy as np\n", + "\n", + "# Загружаем данные\n", + "data = load_from_disk('pantab_fact_train_unique_tables_defgen')\n", + "\n", + "# Получаем метки для стратификации\n", + "labels = data['label']\n", + "\n", + "# Создаем индексы для разбиения\n", + "train_indices, test_indices = train_test_split(\n", + " range(len(data)),\n", + " test_size=0.2,\n", + " random_state=42,\n", + " stratify=labels\n", + ")\n", + "\n", + "# Создаем обучающий и тестовый датасеты\n", + "train_dataset = data.select(train_indices)\n", + "test_dataset = data.select(test_indices)\n", + "\n", + "print(f\"Обучающая выборка: {len(train_dataset)} примеров\")\n", + "print(f\"Тестовая выборка: {len(test_dataset)} примеров\")\n", + "\n", + "# Проверяем распределение меток\n", + "from collections import Counter\n", + "print(f\"\\nРаспределение меток в train: {Counter(train_dataset['label'])}\")\n", + "print(f\"Распределение меток в test: {Counter(test_dataset['label'])}\")" ] }, { "cell_type": "code", - "execution_count": 57, - "id": "971d1b0a-1291-4253-93c2-67150fb2216d", + "execution_count": 73, + "id": "6a519a24-4c48-486b-8856-f2f823a596a6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "0.027701911822083494" ] }, - "execution_count": 57, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
          " - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "df_dif.plot()" + "71/2563" ] }, { "cell_type": "code", - "execution_count": 56, - "id": "fbcb71ff-23f5-4b9b-9b7b-082501f175e7", + "execution_count": 74, + "id": "8b222dce-b154-4db9-bdc6-e290e1df814d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "0.02781030444964871" ] }, - "execution_count": 56, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
          " - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "df_dif.rolling(window=100).mean().plot()" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "c711723a-e62c-417f-aec4-ea690cf91c0e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collecting matplotlib\n", - " Using cached matplotlib-3.10.7-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.7 MB)\n", - "Requirement already satisfied: numpy>=1.23 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from matplotlib) (2.2.6)\n", - "Requirement already satisfied: packaging>=20.0 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from matplotlib) (25.0)\n", - "Collecting cycler>=0.10\n", - " Using cached cycler-0.12.1-py3-none-any.whl (8.3 kB)\n", - "Requirement already satisfied: pillow>=8 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from matplotlib) (12.0.0)\n", - "Collecting pyparsing>=3\n", - " Using cached pyparsing-3.2.5-py3-none-any.whl (113 kB)\n", - "Requirement already satisfied: python-dateutil>=2.7 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from matplotlib) (2.9.0.post0)\n", - "Collecting kiwisolver>=1.3.1\n", - " Using cached kiwisolver-1.4.9-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.6 MB)\n", - "Collecting contourpy>=1.0.1\n", - " Using cached contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (325 kB)\n", - "Collecting fonttools>=4.22.0\n", - " Downloading fonttools-4.61.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (4.9 MB)\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.9/4.9 MB\u001b[0m \u001b[31m1.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n", - "\u001b[?25hRequirement already satisfied: six>=1.5 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib) (1.17.0)\n", - "Installing collected packages: pyparsing, kiwisolver, fonttools, cycler, contourpy, matplotlib\n", - "Successfully installed contourpy-1.3.2 cycler-0.12.1 fonttools-4.61.0 kiwisolver-1.4.9 matplotlib-3.10.7 pyparsing-3.2.5\n", - "Note: you may need to restart the kernel to use updated packages.\n" - ] - } - ], - "source": [ - "pip install matplotlib" + "285/10248" ] }, { "cell_type": "code", - "execution_count": 58, - "id": "ab1dbeca-2f47-440a-8188-205a5ca5b6dc", + "execution_count": 75, + "id": "5f0fa541-f0fd-44a1-990d-922db40b3b02", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: modelscope in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (1.31.0)\n", - "Requirement already satisfied: setuptools in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from modelscope) (59.6.0)\n", - "Requirement already satisfied: filelock in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from modelscope) (3.20.0)\n", - "Requirement already satisfied: tqdm>=4.64.0 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from modelscope) (4.67.1)\n", - "Requirement already satisfied: urllib3>=1.26 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from modelscope) (2.5.0)\n", - "Requirement already satisfied: requests>=2.25 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from modelscope) (2.32.5)\n", - "Requirement already satisfied: charset_normalizer<4,>=2 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from requests>=2.25->modelscope) (3.4.4)\n", - "Requirement already satisfied: certifi>=2017.4.17 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from requests>=2.25->modelscope) (2025.11.12)\n", - "Requirement already satisfied: idna<4,>=2.5 in /media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/.myenv/lib/python3.10/site-packages (from requests>=2.25->modelscope) (3.11)\n", - "Note: you may need to restart the kernel to use updated packages.\n" - ] + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['statement', 'table_text', 'pandas_code', 'pandas_eval', 'table_csv', 'label', 'table_caption', '__index_level_0__', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50'],\n", + " num_rows: 10533\n", + "})" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "pip install modelscope" + "train_dataset" ] }, { "cell_type": "code", - "execution_count": 13, - "id": "83b675e7-1cd7-4ff6-af1e-fc0c579b3018", + "execution_count": 81, + "id": "60dee700-c788-4523-903b-5e20987b525f", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Downloading Model from https://www.modelscope.cn to directory: /home/poddubny/.cache/modelscope/hub/models/deepseek-ai/deepseek-coder-7b-instruct-v1.5\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-12-05 14:42:29,424 - modelscope - INFO - Target directory already exists, skipping creation.\n" - ] + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['statement', 'table_text', 'pandas_code', 'pandas_eval', 'table_csv', 'label', 'table_caption', '__index_level_0__', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50'],\n", + " num_rows: 10533\n", + "})" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" } ], - "source": [ - "from modelscope import AutoTokenizer, AutoModelForCausalLM\n", - "tokenizer = AutoTokenizer.from_pretrained(\"deepseek-ai/deepseek-coder-7b-instruct-v1.5\", trust_remote_code=True)" - ] + "source": [] }, { "cell_type": "code", - "execution_count": 14, - "id": "33b87b60-c858-4f67-ba58-de9d4ab10f32", + "execution_count": 102, + "id": "8d2b93c9-4a45-45c2-9be1-164bcde5012b", "metadata": {}, "outputs": [], "source": [ - "def compute_tokens_lenghts(text,tokenizer):\n", - " messages=[\n", - " { 'role': 'system', 'content': \"\"},\n", - " { 'role': 'user', 'content': text}\n", - " ]\n", - " return tokenizer.apply_chat_template(messages, add_generation_prompt=False, return_tensors=\"pt\").shape[1]" + "test_data_train = train_dataset.to_pandas().sample(n=500, random_state=42)\n", + "test_data_val = test_dataset.to_pandas().sample(n=100, random_state=42)" ] }, { "cell_type": "code", - "execution_count": 15, - "id": "5ff47f70-8568-4652-8118-c46ccf4b4f60", + "execution_count": 112, + "id": "54c42cae-159d-47dd-a267-6f8f3f6f4b3e", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 88116/88116 [04:48<00:00, 305.47it/s]\n" - ] - } - ], + "outputs": [], "source": [ - "from tqdm import tqdm\n", - "sep_data_len_token = []\n", - "sem_data_len_token = []\n", - "\n", - "for data in tqdm(data_true):\n", - " sep_data_len_token.append(compute_tokens_lenghts(data['nlsep_query'],tokenizer))\n", - " sem_data_len_token.append(compute_tokens_lenghts(data['semtab_query'],tokenizer))" + "data_train_all = train_dataset.to_pandas()\n", + "data_val_all = test_dataset.to_pandas()" ] }, { "cell_type": "code", - "execution_count": 16, - "id": "68123f44-9c19-4b8e-9939-03cb9ab65220", + "execution_count": 103, + "id": "6df2da06-e84c-4beb-afd4-7c7a32470bfc", "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 88116/88116 [01:12<00:00, 1215.26it/s]\n" - ] + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          statementtable_textpandas_codepandas_evaltable_csvlabeltable_caption__index_level_0__semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50
          4228game 31 and 32 be both in january 1979 , on th...tie no#home team#score#away team#date\\n1#darli...all(df.loc[df['tie no'].isin(['31', '32']), 'd...True2-18657589-3.html.csv11978 - 79 fa cup39669<TABLE DESCRIPTION=\"1978 - 79 fa cup\"><HEADER ...
          2128kyle eastmond 's cross code debut be 3 year la...player#int'l debut#year#cross code debut#date\\...(pd.to_datetime(df[df['player'] == 'kyle eastm...True2-18860278-2.html.csv1list of dual - code rugby internationals39336<TABLE DESCRIPTION=\"list of dual - code rugby ...
          1408the republican party comprise 2 incumbent , si...district#incumbent#party#first elected#result#...len(df[(df['party'] == 'republican') & (df['in...True1-1341884-23.html.csv1united states house of representatives electio...28461<TABLE DESCRIPTION=\"united states house of rep...
          5397the cosworth engine have a finish of 27year#chassis#engine#start#finish#entrant\\n1977...any((df['engine'] == 'cosworth') & (df['finish...True2-1228288-5.html.csv1danny ongais72660<TABLE DESCRIPTION=\"danny ongais\"><HEADER NAME...
          2870banants - 2 be team 1 when ulisses be team 2team 1#agg#team 2#1st leg#2nd leg\\nbanants - 2...df[(df['team 1'] == 'banants - 2') & (df['team...True2-17372848-1.html.csv12008 armenian cup82907<TABLE DESCRIPTION=\"2008 armenian cup\"><HEADER...
          ..............................
          9451a game at the sit of the pontiac silverdome ha...week#date#opponent#result#kickoff#game site#re...df[(df['game site'] == 'pontiac silverdome') &...True2-10659676-2.html.csv11999 st. louis rams season85642<TABLE DESCRIPTION=\"1999 st. louis rams season...
          914sd eibar play 38 with a goal difference of - 7position#club#played#points#wins#draws#losses#...(df[df['club'] == 'sd eibar']['played'].values...True2-12107080-2.html.csv11989 - 90 segunda división63646<TABLE DESCRIPTION=\"1989 - 90 segunda división...
          3025among soap opera actor , lesley saweard have b...rank#actor#character#soap opera#years#duration...df[df['actor'] == 'lesley saweard']['duration'...True2-18772558-1.html.csv1list of longest - serving soap opera actors5987<TABLE DESCRIPTION=\"list of longest - serving ...
          3282the away team score be 6.16 (52) on august 24 ...home team#home team score#away team#away team ...df[df['date'] == '24 august 1940']['away team ...True2-10807253-17.html.csv11940 vfl season65308<TABLE DESCRIPTION=\"1940 vfl season\"><HEADER N...
          5516breakout have a catalog number of pcr 502catalog#title#year#composer#released\\npcr 501#...df.loc[df['title'] == 'breakout', 'catalog'].i...True2-12187109-3.html.csv1prometheus records81420<TABLE DESCRIPTION=\"prometheus records\"><HEADE...
          \n", + "

          500 rows × 9 columns

          \n", + "
          " + ], + "text/plain": [ + " statement \\\n", + "4228 game 31 and 32 be both in january 1979 , on th... \n", + "2128 kyle eastmond 's cross code debut be 3 year la... \n", + "1408 the republican party comprise 2 incumbent , si... \n", + "5397 the cosworth engine have a finish of 27 \n", + "2870 banants - 2 be team 1 when ulisses be team 2 \n", + "... ... \n", + "9451 a game at the sit of the pontiac silverdome ha... \n", + "914 sd eibar play 38 with a goal difference of - 7 \n", + "3025 among soap opera actor , lesley saweard have b... \n", + "3282 the away team score be 6.16 (52) on august 24 ... \n", + "5516 breakout have a catalog number of pcr 502 \n", + "\n", + " table_text \\\n", + "4228 tie no#home team#score#away team#date\\n1#darli... \n", + "2128 player#int'l debut#year#cross code debut#date\\... \n", + "1408 district#incumbent#party#first elected#result#... \n", + "5397 year#chassis#engine#start#finish#entrant\\n1977... \n", + "2870 team 1#agg#team 2#1st leg#2nd leg\\nbanants - 2... \n", + "... ... \n", + "9451 week#date#opponent#result#kickoff#game site#re... \n", + "914 position#club#played#points#wins#draws#losses#... \n", + "3025 rank#actor#character#soap opera#years#duration... \n", + "3282 home team#home team score#away team#away team ... \n", + "5516 catalog#title#year#composer#released\\npcr 501#... \n", + "\n", + " pandas_code pandas_eval \\\n", + "4228 all(df.loc[df['tie no'].isin(['31', '32']), 'd... True \n", + "2128 (pd.to_datetime(df[df['player'] == 'kyle eastm... True \n", + "1408 len(df[(df['party'] == 'republican') & (df['in... True \n", + "5397 any((df['engine'] == 'cosworth') & (df['finish... True \n", + "2870 df[(df['team 1'] == 'banants - 2') & (df['team... True \n", + "... ... ... \n", + "9451 df[(df['game site'] == 'pontiac silverdome') &... True \n", + "914 (df[df['club'] == 'sd eibar']['played'].values... True \n", + "3025 df[df['actor'] == 'lesley saweard']['duration'... True \n", + "3282 df[df['date'] == '24 august 1940']['away team ... True \n", + "5516 df.loc[df['title'] == 'breakout', 'catalog'].i... True \n", + "\n", + " table_csv label \\\n", + "4228 2-18657589-3.html.csv 1 \n", + "2128 2-18860278-2.html.csv 1 \n", + "1408 1-1341884-23.html.csv 1 \n", + "5397 2-1228288-5.html.csv 1 \n", + "2870 2-17372848-1.html.csv 1 \n", + "... ... ... \n", + "9451 2-10659676-2.html.csv 1 \n", + "914 2-12107080-2.html.csv 1 \n", + "3025 2-18772558-1.html.csv 1 \n", + "3282 2-10807253-17.html.csv 1 \n", + "5516 2-12187109-3.html.csv 1 \n", + "\n", + " table_caption __index_level_0__ \\\n", + "4228 1978 - 79 fa cup 39669 \n", + "2128 list of dual - code rugby internationals 39336 \n", + "1408 united states house of representatives electio... 28461 \n", + "5397 danny ongais 72660 \n", + "2870 2008 armenian cup 82907 \n", + "... ... ... \n", + "9451 1999 st. louis rams season 85642 \n", + "914 1989 - 90 segunda división 63646 \n", + "3025 list of longest - serving soap opera actors 5987 \n", + "3282 1940 vfl season 65308 \n", + "5516 prometheus records 81420 \n", + "\n", + " semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50 \n", + "4228
          \n", + "\n", + "
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          table_csvlabelstatementtable_captionpandas_codepandas_eval
          02-15401676-3.html.csv1haroldo be mention as a brazil scorer for 2 di...1919 in brazilian footballdf['brazil scorers'].apply(lambda x: 'haroldo'...True
          12-15401676-3.html.csv14 of the 5 game be for the south american cham...1919 in brazilian football(df['competition'].value_counts()['south ameri...True
          22-15401676-3.html.csv1friedenreich be mention as a brazil scorer for...1919 in brazilian footballdf['brazil scorers'].str.contains('friedenreic...True
          32-15401676-3.html.csv1there be 2 different game where the highest sc...1919 in brazilian footballlen(df[df['score'].str.extract(r'^(\\d+) - \\d+$...True
          42-15401676-3.html.csv14 of the 5 game be play in may 19191919 in brazilian football(df['date'].str.contains('may') & df['date'].s...True
          .....................
          879691-20861261-4.html.csv1jerraud power , 192 pound (87 kg) , be choose ...2009 indianapolis colts seasondf[(df['player'] == 'jerraud powers') & (df['w...True
          879701-20861261-4.html.csv0terrence taylor play for auburn2009 indianapolis colts seasondf[df['player'] == 'terrance taylor']['college...False
          879711-20861261-4.html.csv0curtis painter 's position be quarterback and ...2009 indianapolis colts season(df[df['player'] == 'curtis painter']['positio...False
          879721-20861261-4.html.csv0the player who weigh the most play in round 32009 indianapolis colts season(df.loc[df['weight'].str.extract('(\\\\d+)').ast...False
          879731-28578233-1.html.csv1for 2007 / 08 , metal - volume (thousand tons)...iran mercantile exchangedf.loc[df['ime exchange (including spot , cred...True
          \n", + "

          87974 rows × 6 columns

          \n", + "" + ], + "text/plain": [ + " table_csv label \\\n", + "0 2-15401676-3.html.csv 1 \n", + "1 2-15401676-3.html.csv 1 \n", + "2 2-15401676-3.html.csv 1 \n", + "3 2-15401676-3.html.csv 1 \n", + "4 2-15401676-3.html.csv 1 \n", + "... ... ... \n", + "87969 1-20861261-4.html.csv 1 \n", + "87970 1-20861261-4.html.csv 0 \n", + "87971 1-20861261-4.html.csv 0 \n", + "87972 1-20861261-4.html.csv 0 \n", + "87973 1-28578233-1.html.csv 1 \n", + "\n", + " statement \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 \n", + "... ... \n", + "87969 jerraud power , 192 pound (87 kg) , be choose ... \n", + "87970 terrence taylor play for auburn \n", + "87971 curtis painter 's position be quarterback and ... \n", + "87972 the player who weigh the most play in round 3 \n", + "87973 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " table_caption \\\n", + "0 1919 in brazilian football \n", + "1 1919 in brazilian football \n", + "2 1919 in brazilian football \n", + "3 1919 in brazilian football \n", + "4 1919 in brazilian football \n", + "... ... \n", + "87969 2009 indianapolis colts season \n", + "87970 2009 indianapolis colts season \n", + "87971 2009 indianapolis colts season \n", + "87972 2009 indianapolis colts season \n", + "87973 iran mercantile exchange \n", + "\n", + " pandas_code pandas_eval \n", + "0 df['brazil scorers'].apply(lambda x: 'haroldo'... True \n", + "1 (df['competition'].value_counts()['south ameri... True \n", + "2 df['brazil scorers'].str.contains('friedenreic... True \n", + "3 len(df[df['score'].str.extract(r'^(\\d+) - \\d+$... True \n", + "4 (df['date'].str.contains('may') & df['date'].s... True \n", + "... ... ... \n", + "87969 df[(df['player'] == 'jerraud powers') & (df['w... True \n", + "87970 df[df['player'] == 'terrance taylor']['college... False \n", + "87971 (df[df['player'] == 'curtis painter']['positio... False \n", + "87972 (df.loc[df['weight'].str.extract('(\\\\d+)').ast... False \n", + "87973 df.loc[df['ime exchange (including spot , cred... True \n", + "\n", + "[87974 rows x 6 columns]" + ] + }, + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "import numpy as np \n", - "sep_data_len_token = np.array(sep_data_len_token)\n", - "sem_data_len_token = np.array(sem_data_len_token)\n", - "dif_token = sem_data_len_token - sep_data_len_token\n", - "print(max(dif_token),min(dif_token),dif_token.mean(),dif_token.std())" + "d2 = load_from_disk('pantab_fact_train/')\n", + "dd2 = d2.to_pandas()\n", + "dd2 = dd2[['table_csv','label','statement','table_caption','pandas_code','pandas_eval']]\n", + "dd2" ] }, { "cell_type": "code", - "execution_count": 117, - "id": "cc1671af-1451-47ea-b978-14509a88ac4e", + "execution_count": null, + "id": "733baffc-cc5b-4813-b4b2-5bf10e40162b", "metadata": {}, "outputs": [], - "source": [ - "k = sem_data_len_token/sep_data_len_token*100" - ] + "source": [] }, { "cell_type": "code", - "execution_count": 118, - "id": "a45ad8fd-d365-4f96-9900-f113084e1356", + "execution_count": 120, + "id": "e41a238d-6036-4723-9373-d81f343089f4", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "18.242894056847543 481.9742489270387\n" - ] + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          table_captiontable_csvtable_textsemtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50
          0daniel gimeno - traver2-16965329-8.html.csvtournament#2005#2006#2007#2008#2009#2010#2011#...<TABLE DESCRIPTION=\"daniel gimeno - traver\"><H...
          12007 - 08 portland trail blazers season1-11964047-9.html.csv#date#visitor#score#home#leading scorer#attend...<TABLE DESCRIPTION=\"2007 - 08 portland trail b...
          2espn sunday night football results (1987 - 2005)2-13193466-15.html.csvdate#visiting team#final score#host team#stadi...<TABLE DESCRIPTION=\"espn sunday night football...
          3volleyball at the 2008 summer olympics - men '...2-18499677-1.html.csvname#height#weight#spike#2008 club\\nevgeni iva...<TABLE DESCRIPTION=\"volleyball at the 2008 sum...
          4united states house of representatives electio...1-1342013-12.html.csvdistrict#incumbent#party#first elected#result#...<TABLE DESCRIPTION=\"united states house of rep...
          ...............
          26292008 - 09 dallas mavericks season2-17288869-9.html.csvgame#date#team#score#high points#high rebounds...<TABLE DESCRIPTION=\"2008 - 09 dallas mavericks...
          2630alycia moulton2-15096003-5.html.csvoutcome#date#tournament#surface#partner#oppone...<TABLE DESCRIPTION=\"alycia moulton\"><HEADER NA...
          26311921 grand prix season2-18269311-2.html.csvname#circuit#date#winning driver#winning const...<TABLE DESCRIPTION=\"1921 grand prix season\"><H...
          2632force one iron league junior heavyweight champ...2-14738809-1.html.csvwrestler :#times :#date :#place :#successful d...<TABLE DESCRIPTION=\"force one iron league juni...
          2633miller barber2-1552405-1.html.csvdate#tournament#winning score#margin of victor...<TABLE DESCRIPTION=\"miller barber\"><HEADER NAM...
          \n", + "

          2634 rows × 4 columns

          \n", + "
          " + ], + "text/plain": [ + " table_caption \\\n", + "0 daniel gimeno - traver \n", + "1 2007 - 08 portland trail blazers season \n", + "2 espn sunday night football results (1987 - 2005) \n", + "3 volleyball at the 2008 summer olympics - men '... \n", + "4 united states house of representatives electio... \n", + "... ... \n", + "2629 2008 - 09 dallas mavericks season \n", + "2630 alycia moulton \n", + "2631 1921 grand prix season \n", + "2632 force one iron league junior heavyweight champ... \n", + "2633 miller barber \n", + "\n", + " table_csv \\\n", + "0 2-16965329-8.html.csv \n", + "1 1-11964047-9.html.csv \n", + "2 2-13193466-15.html.csv \n", + "3 2-18499677-1.html.csv \n", + "4 1-1342013-12.html.csv \n", + "... ... \n", + "2629 2-17288869-9.html.csv \n", + "2630 2-15096003-5.html.csv \n", + "2631 2-18269311-2.html.csv \n", + "2632 2-14738809-1.html.csv \n", + "2633 2-1552405-1.html.csv \n", + "\n", + " table_text \\\n", + "0 tournament#2005#2006#2007#2008#2009#2010#2011#... \n", + "1 #date#visitor#score#home#leading scorer#attend... \n", + "2 date#visiting team#final score#host team#stadi... \n", + "3 name#height#weight#spike#2008 club\\nevgeni iva... \n", + "4 district#incumbent#party#first elected#result#... \n", + "... ... \n", + "2629 game#date#team#score#high points#high rebounds... \n", + "2630 outcome#date#tournament#surface#partner#oppone... \n", + "2631 name#circuit#date#winning driver#winning const... \n", + "2632 wrestler :#times :#date :#place :#successful d... \n", + "2633 date#tournament#winning score#margin of victor... \n", + "\n", + " semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50 \n", + "0
          \n", + "\n", + "
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          table_csvlabelstatementtable_captionpandas_codepandas_eval
          02-15401676-3.html.csv1haroldo be mention as a brazil scorer for 2 di...1919 in brazilian footballdf['brazil scorers'].apply(lambda x: 'haroldo'...True
          12-15401676-3.html.csv14 of the 5 game be for the south american cham...1919 in brazilian football(df['competition'].value_counts()['south ameri...True
          22-15401676-3.html.csv1friedenreich be mention as a brazil scorer for...1919 in brazilian footballdf['brazil scorers'].str.contains('friedenreic...True
          32-15401676-3.html.csv1there be 2 different game where the highest sc...1919 in brazilian footballlen(df[df['score'].str.extract(r'^(\\d+) - \\d+$...True
          42-15401676-3.html.csv14 of the 5 game be play in may 19191919 in brazilian football(df['date'].str.contains('may') & df['date'].s...True
          .....................
          879691-20861261-4.html.csv1jerraud power , 192 pound (87 kg) , be choose ...2009 indianapolis colts seasondf[(df['player'] == 'jerraud powers') & (df['w...True
          879701-20861261-4.html.csv0terrence taylor play for auburn2009 indianapolis colts seasondf[df['player'] == 'terrance taylor']['college...False
          879711-20861261-4.html.csv0curtis painter 's position be quarterback and ...2009 indianapolis colts season(df[df['player'] == 'curtis painter']['positio...False
          879721-20861261-4.html.csv0the player who weigh the most play in round 32009 indianapolis colts season(df.loc[df['weight'].str.extract('(\\\\d+)').ast...False
          879731-28578233-1.html.csv1for 2007 / 08 , metal - volume (thousand tons)...iran mercantile exchangedf.loc[df['ime exchange (including spot , cred...True
          \n", + "

          87974 rows × 6 columns

          \n", + "" + ], + "text/plain": [ + " table_csv label \\\n", + "0 2-15401676-3.html.csv 1 \n", + "1 2-15401676-3.html.csv 1 \n", + "2 2-15401676-3.html.csv 1 \n", + "3 2-15401676-3.html.csv 1 \n", + "4 2-15401676-3.html.csv 1 \n", + "... ... ... \n", + "87969 1-20861261-4.html.csv 1 \n", + "87970 1-20861261-4.html.csv 0 \n", + "87971 1-20861261-4.html.csv 0 \n", + "87972 1-20861261-4.html.csv 0 \n", + "87973 1-28578233-1.html.csv 1 \n", + "\n", + " statement \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 \n", + "... ... \n", + "87969 jerraud power , 192 pound (87 kg) , be choose ... \n", + "87970 terrence taylor play for auburn \n", + "87971 curtis painter 's position be quarterback and ... \n", + "87972 the player who weigh the most play in round 3 \n", + "87973 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " table_caption \\\n", + "0 1919 in brazilian football \n", + "1 1919 in brazilian football \n", + "2 1919 in brazilian football \n", + "3 1919 in brazilian football \n", + "4 1919 in brazilian football \n", + "... ... \n", + "87969 2009 indianapolis colts season \n", + "87970 2009 indianapolis colts season \n", + "87971 2009 indianapolis colts season \n", + "87972 2009 indianapolis colts season \n", + "87973 iran mercantile exchange \n", + "\n", + " pandas_code pandas_eval \n", + "0 df['brazil scorers'].apply(lambda x: 'haroldo'... True \n", + "1 (df['competition'].value_counts()['south ameri... True \n", + "2 df['brazil scorers'].str.contains('friedenreic... True \n", + "3 len(df[df['score'].str.extract(r'^(\\d+) - \\d+$... True \n", + "4 (df['date'].str.contains('may') & df['date'].s... True \n", + "... ... ... \n", + "87969 df[(df['player'] == 'jerraud powers') & (df['w... True \n", + "87970 df[df['player'] == 'terrance taylor']['college... False \n", + "87971 (df[df['player'] == 'curtis painter']['positio... False \n", + "87972 (df.loc[df['weight'].str.extract('(\\\\d+)').ast... False \n", + "87973 df.loc[df['ime exchange (including spot , cred... True \n", + "\n", + "[87974 rows x 6 columns]" + ] + }, + "execution_count": 121, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "print('Процент примеров превышающих соответствующее семантическое представление', \n", - " dif_token[dif_token<0].shape[0]/dif_token.shape[0]*100)\n", - "print('Процент примеров равных семантическое представление', \n", - " dif_token[dif_token == 0].shape[0]/dif_token.shape[0]*100)\n", - "print('Процент примеров отличающихся не более чем на окно в 50 токенов от семантическое представление', \n", - " dif_token[(dif_token <= 50) & (dif_token >= -50) ].shape[0]/dif_token.shape[0]*100)" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "id": "e7e25da6-5f9b-4985-900a-844f26a21bb8", - "metadata": {}, - "outputs": [], - "source": [ - "df_dif = pd.DataFrame({'NL+sep':sep_data_len_token,'Semantic headers':sem_data_len_token,\n", - " 'count columns':count_columns,'count rows':count_rows,'percent':100-sem_data_len_token/sep_data_len_token*100,\n", - " 'percent_sem':sep_data_len_token/sem_data_len_token*100}) " + "dd2" ] }, { "cell_type": "code", - "execution_count": 75, - "id": "1eca8ec9-268c-4f6d-867b-ab65a51c44cb", + "execution_count": 106, + "id": "44c3ebc1-0609-40c7-a194-f5e187e55d19", "metadata": {}, "outputs": [], "source": [ - "df_dif = df_dif[df_dif['count columns']<=15]" + "import pandas as pd" ] }, { "cell_type": "code", - "execution_count": 76, - "id": "02874c00-a4f2-4941-a629-356617d0c45b", + "execution_count": 123, + "id": "6a8fb3c7-4ed8-4159-b418-c8e799653749", "metadata": {}, "outputs": [ { @@ -1765,367 +10521,606 @@ " \n", " \n", " \n", - " NL+sep\n", - " Semantic headers\n", - " count columns\n", - " count rows\n", - " percent\n", - " percent_sem\n", + " table_caption\n", + " table_csv\n", + " table_text\n", + " semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50\n", " \n", " \n", " \n", " \n", - " count\n", - " 87968.000000\n", - " 87968.000000\n", - " 87968.000000\n", - " 87968.000000\n", - " 87968.000000\n", - " 87968.000000\n", + " 0\n", + " georgios theodoridis\n", + " 2-1115008-1.html.csv\n", + " year#tournament#venue#result#extra\\n1998#europ...\n", + " <TABLE DESCRIPTION=\"georgios theodoridis\"><HEA...\n", " \n", " \n", - " mean\n", - " 576.994703\n", - " 533.278942\n", - " 6.285161\n", - " 13.368861\n", - " -22.597923\n", - " 108.112814\n", + " 1\n", + " fady maalouf\n", + " 2-18490880-1.html.csv\n", + " date#topic of the show#song#original artist#pl...\n", + " <TABLE DESCRIPTION=\"fady maalouf\"><HEADER NAME...\n", " \n", " \n", - " std\n", - " 379.407588\n", - " 123.885545\n", - " 1.520930\n", - " 8.560545\n", - " 59.308091\n", - " 65.625147\n", + " 2\n", + " athletics at the 2008 summer olympics - women ...\n", + " 2-18569185-4.html.csv\n", + " name#nationality#4.30#4.45#4.55#result\\nyelena...\n", + " <TABLE DESCRIPTION=\"athletics at the 2008 summ...\n", " \n", " \n", - " min\n", - " 114.000000\n", - " 335.000000\n", - " 5.000000\n", - " 2.000000\n", - " -305.128205\n", - " 24.683544\n", + " 3\n", + " 1961 san diego chargers season\n", + " 2-15428670-1.html.csv\n", + " week#date#opponent#result#attendance\\n1#septem...\n", + " <TABLE DESCRIPTION=\"1961 san diego chargers se...\n", " \n", " \n", - " 25%\n", - " 317.000000\n", - " 440.000000\n", - " 5.000000\n", - " 7.000000\n", - " -65.555556\n", - " 60.402685\n", + " 4\n", + " 1995 open championship\n", + " 2-18103106-7.html.csv\n", + " place#player#country#score#to par#money\\nt1#jo...\n", + " <TABLE DESCRIPTION=\"1995 open championship\"><H...\n", " \n", " \n", - " 50%\n", - " 458.000000\n", - " 503.000000\n", - " 6.000000\n", - " 11.000000\n", - " -15.329358\n", - " 86.708192\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", " \n", " \n", - " 75%\n", - " 723.000000\n", - " 598.000000\n", - " 7.000000\n", - " 17.000000\n", - " 26.603870\n", - " 136.246966\n", + " 10528\n", + " 2006 asp world tour\n", + " 2-16135024-1.html.csv\n", + " date#location#country#event#winner#runner - up...\n", + " <TABLE DESCRIPTION=\"2006 asp world tour\"><HEAD...\n", " \n", " \n", - " max\n", - " 3872.000000\n", - " 1899.000000\n", - " 15.000000\n", - " 48.000000\n", - " 81.757106\n", - " 548.158640\n", + " 10529\n", + " mobile bay lpga classic\n", + " 2-17424546-2.html.csv\n", + " year#dates#champion#country#winning score#to p...\n", + " <TABLE DESCRIPTION=\"mobile bay lpga classic\"><...\n", + " \n", + " \n", + " 10530\n", + " none\n", + " 1-25920798-2.html.csv\n", + " episode#reward#leader battle#immunity#individu...\n", + " <TABLE DESCRIPTION=\"none\"><HEADER NAME=\"episod...\n", + " \n", + " \n", + " 10531\n", + " 1968 buffalo bills season\n", + " 2-16982985-1.html.csv\n", + " date#opponent#score#result#record\\naugust 5#de...\n", + " <TABLE DESCRIPTION=\"1968 buffalo bills season\"...\n", + " \n", + " \n", + " 10532\n", + " list of jag episodes\n", + " 1-228973-9.html.csv\n", + " no in series#no in season#title#directed by#wr...\n", + " <TABLE DESCRIPTION=\"list of jag episodes\"><HEA...\n", " \n", " \n", "\n", + "

          10533 rows × 4 columns

          \n", "" ], "text/plain": [ - " NL+sep Semantic headers count columns count rows \\\n", - "count 87968.000000 87968.000000 87968.000000 87968.000000 \n", - "mean 576.994703 533.278942 6.285161 13.368861 \n", - "std 379.407588 123.885545 1.520930 8.560545 \n", - "min 114.000000 335.000000 5.000000 2.000000 \n", - "25% 317.000000 440.000000 5.000000 7.000000 \n", - "50% 458.000000 503.000000 6.000000 11.000000 \n", - "75% 723.000000 598.000000 7.000000 17.000000 \n", - "max 3872.000000 1899.000000 15.000000 48.000000 \n", + " table_caption \\\n", + "0 georgios theodoridis \n", + "1 fady maalouf \n", + "2 athletics at the 2008 summer olympics - women ... \n", + "3 1961 san diego chargers season \n", + "4 1995 open championship \n", + "... ... \n", + "10528 2006 asp world tour \n", + "10529 mobile bay lpga classic \n", + "10530 none \n", + "10531 1968 buffalo bills season \n", + "10532 list of jag episodes \n", "\n", - " percent percent_sem \n", - "count 87968.000000 87968.000000 \n", - "mean -22.597923 108.112814 \n", - "std 59.308091 65.625147 \n", - "min -305.128205 24.683544 \n", - "25% -65.555556 60.402685 \n", - "50% -15.329358 86.708192 \n", - "75% 26.603870 136.246966 \n", - "max 81.757106 548.158640 " + " table_csv \\\n", + "0 2-1115008-1.html.csv \n", + "1 2-18490880-1.html.csv \n", + "2 2-18569185-4.html.csv \n", + "3 2-15428670-1.html.csv \n", + "4 2-18103106-7.html.csv \n", + "... ... \n", + "10528 2-16135024-1.html.csv \n", + "10529 2-17424546-2.html.csv \n", + "10530 1-25920798-2.html.csv \n", + "10531 2-16982985-1.html.csv \n", + "10532 1-228973-9.html.csv \n", + "\n", + " table_text \\\n", + "0 year#tournament#venue#result#extra\\n1998#europ... \n", + "1 date#topic of the show#song#original artist#pl... \n", + "2 name#nationality#4.30#4.45#4.55#result\\nyelena... \n", + "3 week#date#opponent#result#attendance\\n1#septem... \n", + "4 place#player#country#score#to par#money\\nt1#jo... \n", + "... ... \n", + "10528 date#location#country#event#winner#runner - up... \n", + "10529 year#dates#champion#country#winning score#to p... \n", + "10530 episode#reward#leader battle#immunity#individu... \n", + "10531 date#opponent#score#result#record\\naugust 5#de... \n", + "10532 no in series#no in season#title#directed by#wr... \n", + "\n", + " semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50 \n", + "0
          <... \n", + "10530
          \"\n", + "\n", + "### Table schema\n", + "{table}\n", + "### Query\n", + "{query}\n", + "### Response:\n", + "\"\"\".format(table=table, query=query).lstrip()" ] }, { "cell_type": "code", - "execution_count": 69, - "id": "23d4feb9-0667-44af-975f-73a860dbc63f", + "execution_count": 175, + "id": "e14298dc-2f13-4766-860d-ecad3cb7ef31", "metadata": {}, "outputs": [], "source": [ - "mask = p<10\n", - "p[ p<5] = p*2" + "def formatting_prompts_func(example,table_col_name='semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50'):\n", + " #output_texts = []\n", + " #print(example)\n", + " # Важно: example содержит списки, так как SFTTrainer передает батчи\n", + " #for i in range(len(example['statement'])):\n", + " # prompt = build_instruction_prompt(example[table_col_name][i], example['statement'][i])\n", + " # response = f'\"PANDA\": {example[\"pandas_code\"][i]}\\n{EOT_TOKEN}'\n", + " # output_texts.append(prompt + response)\n", + " #return output_texts\n", + " text = build_instruction_prompt(example[table_col_name], example['statement'])+ f'\"PANDA\": {example[\"pandas_code\"]}\\n'\n", + " example['len'] = len(tokenizer(text ,truncation=False)[\"input_ids\"]) \n", + " return example" ] }, { "cell_type": "code", - "execution_count": 70, - "id": "08541ba3-5a66-4c5e-afa7-531762a0f505", + "execution_count": 176, + "id": "6e91f022-915e-4888-93e1-456d2e6b34ec", "metadata": {}, "outputs": [ { "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b5c60daf60ba4febaffad5c210ada40b", + "version_major": 2, + "version_minor": 0 + }, "text/plain": [ - "np.int64(4)" + "Map (num_proc=16): 0%| | 0/70254 [00:00 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (1016 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (847 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (1103 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (1228 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (854 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (813 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (935 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (1006 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (1002 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (810 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (812 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (884 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (864 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (877 > 800). Running this sequence through the model will result in indexing errors\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (825 > 800). Running this sequence through the model will result in indexing errors\n" + ] + } + ], + "source": [ + "r2 = train.map(formatting_prompts_func,num_proc=16)" + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "id": "8a44202d-e20c-4521-8064-c7a6f6af02f3", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 179, + "id": "5fd76cb0-7e11-4a48-9801-44bc1aba7738", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.float64(1349.0)" + ] + }, + "execution_count": 179, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "p.min()" + "np.percentile(r['len'], 99)" ] }, { "cell_type": "code", - "execution_count": 99, - "id": "e80cf02d-23f6-4d2f-9fbb-c0df6c8efed7", + "execution_count": 152, + "id": "bc874524-3afd-42a6-b737-3a81c46d524d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "(490, 3474)" ] }, - "execution_count": 99, + "execution_count": 152, "metadata": {}, "output_type": "execute_result" - }, + } + ], + "source": [ + "min(r['len']),max(r['len'])" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "id": "de4adee6-492d-47f4-8c7a-b97d5eccc03f", + "metadata": {}, + "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjAAAAGdCAYAAAAMm0nCAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAlMlJREFUeJzt3XdUFNfbB/DvbAVUwAZYsBfsvRBLTCSiEkviL2+Kid1ERWPXkNhijzGxxJbEWJJoLIkaIzZEsWJDsYsNxQbYYEXYZcu8fyALC9t3dmcWns85HN2duzN3+jN3bmFYlmVBCCGEEOJGRHxngBBCCCHEVhTAEEIIIcTtUABDCCGEELdDAQwhhBBC3A4FMIQQQghxOxTAEEIIIcTtUABDCCGEELdDAQwhhBBC3I6E7ww4i06nw6NHj1CqVCkwDMN3dgghhBBiBZZl8fLlS1SsWBEikelyliIbwDx69AiBgYF8Z4MQQgghdrh//z4qV65scrpDAcz8+fMRERGB0aNHY/HixQAApVKJ8ePHY9OmTVCpVAgNDcWKFSvg7++v/11SUhKGDx+OQ4cOoWTJkujfvz/mzZsHiSQvOzExMRg3bhyuXLmCwMBATJkyBQMGDLA6b6VKlQKQswG8vb0dWU1CCCGEuIhCoUBgYKD+Pm6K3QHMmTNn8PPPP6Nx48YG348dOxaRkZHYunUrfHx8MHLkSLz//vs4fvw4AECr1SIsLAwBAQE4ceIEHj9+jH79+kEqlWLu3LkAgMTERISFhWHYsGHYsGEDoqOjMWTIEFSoUAGhoaFW5S/3tZG3tzcFMIQQQoibsVj9g7XDy5cv2dq1a7NRUVHsm2++yY4ePZplWZZNS0tjpVIpu3XrVn3aa9eusQDY2NhYlmVZdvfu3axIJGKTk5P1aVauXMl6e3uzKpWKZVmWnTRpEtugQQODZX744YdsaGio1XlMT09nAbDp6en2rCIhhBBCeGDt/duuVkjh4eEICwtDSEiIwfdxcXFQq9UG3wcFBaFKlSqIjY0FAMTGxqJRo0YGr5RCQ0OhUChw5coVfZqC8w4NDdXPwxiVSgWFQmHwRwghhJCiyeZXSJs2bcK5c+dw5syZQtOSk5Mhk8ng6+tr8L2/vz+Sk5P1afIHL7nTc6eZS6NQKJCVlQVPT89Cy543bx6+/fZbW1eHEEIIIW7IpgDm/v37GD16NKKiouDh4eGsPNklIiIC48aN03/OrQRECJ9YloVGo4FWq+U7K4RYRSwWQyKRUPcTRPBsCmDi4uKQmpqK5s2b67/TarU4cuQIli1bhn379iE7OxtpaWkGpTApKSkICAgAAAQEBOD06dMG801JSdFPy/0397v8aby9vY2WvgCAXC6HXC63ZXUIcars7Gw8fvwYmZmZfGeFEJt4eXmhQoUKkMlkfGeFEJNsCmA6d+6MS5cuGXw3cOBABAUFYfLkyQgMDIRUKkV0dDT69OkDAEhISEBSUhKCg4MBAMHBwZgzZw5SU1Ph5+cHAIiKioK3tzfq16+vT7N7926D5URFRennQYjQ6XQ6JCYmQiwWo2LFipDJZPRESwSPZVlkZ2fjyZMnSExMRO3atc12JEYIn2wKYEqVKoWGDRsafFeiRAmULVtW//3gwYMxbtw4lClTBt7e3hg1ahSCg4PRtm1bAECXLl1Qv359fPbZZ1iwYAGSk5MxZcoUhIeH60tQhg0bhmXLlmHSpEkYNGgQDh48iC1btiAyMpKLdSbE6bKzs6HT6RAYGAgvLy++s0OI1Tw9PSGVSnHv3j1kZ2cLrroAIbk474l30aJFEIlE6NOnj0FHdrnEYjF27dqF4cOHIzg4GCVKlED//v0xc+ZMfZrq1asjMjISY8eOxZIlS1C5cmWsXr3a6j5gCBEKenol7oiOW+IOGJZlWb4z4QwKhQI+Pj5IT0+njuyIyymVSiQmJqJ69er0BEvcDh2/hE/W3r8pzCaEEEKI26EAhhBCCCFuhwIYQoiBAQMGgGEYzJ8/3+D7HTt26FtSxcTEgGEYpKWl8ZBDQgihAIYQYoSHhwe+++47vHjxgpP5DRgwADNmzOBkXoQ4Kitbi1+O3Ebi01d8Z4U4gAIYQlyEZVlkZmtc/mdPPf2QkBAEBARg3rx5TtgShliWxYwZM1ClShXI5XJUrFgRX375pX66SqXChAkTUKlSJZQoUQJt2rRBTEyMfvq6devg6+uLHTt2oHbt2vDw8EBoaCju37/v9LwT9/T9vgTM3X0dby2M4TsrxAGcN6MmhBiXpdai/rR9Ll/u1Zmh8JLZdqqLxWLMnTsXn3zyCb788ktUrlzZSbkD/vnnHyxatAibNm1CgwYNkJycjAsXLuinjxw5ElevXsWmTZtQsWJFbN++HV27dsWlS5dQu3ZtAEBmZibmzJmD33//HTKZDCNGjMBHH32E48ePOy3fxH2dvfec7ywQDlAAQwgx6r333kPTpk0xffp0/Pbbb05bTlJSEgICAhASEgKpVIoqVaqgdevW+mlr165FUlISKlasCACYMGEC9u7di7Vr12Lu3LkAALVajWXLlqFNmzYAgPXr16NevXo4ffq0fl6EkKKFAhhCXMRTKsbVma7vjNFTKrb7t9999x3efvttTJgwwabfbdiwAV988YX+s0qlAsMwWLhwof67PXv2oEOHDvjggw+wePFi1KhRA127dkX37t3Ro0cPSCQSXLp0CVqtFnXq1DGYv0qlQtmyZfWfJRIJWrVqpf8cFBQEX19fXLt2jQIYQoooCmAIcRGGYWx+lcO3jh07IjQ0FBERERgwYIDVv+vZs6e+NAQAJk+ejEqVKhnUbalUqRIAIDAwEAkJCThw4ACioqIwYsQIfP/99zh8+DAyMjIgFosRFxcHsdgwECtZsqRjK0cIcWvudTUlhLjc/Pnz0bRpU9StW9fq35QqVQqlSpUy+FymTBnUqlXLaHpPT0/06NEDPXr0QHh4OIKCgnDp0iU0a9YMWq0Wqamp6NChg8nlaTQanD17Vl/akpCQgLS0NNSrV8/qPBNC3AsFMIQQsxo1aoS+ffti6dKlhaZdunTJIFBhGAZNmjSxaf7r1q2DVqtFmzZt4OXlhT///BOenp6oWrUqypYti759+6Jfv3744Ycf0KxZMzx58gTR0dFo3LgxwsLCAABSqRSjRo3C0qVLIZFIMHLkSLRt25ZeHxFShFEAQwixaObMmdi8eXOh7zt27GjwWSwWQ6PR2DRvX19fzJ8/H+PGjYNWq0WjRo3w33//6eu4rF27FrNnz8b48ePx8OFDlCtXDm3btsW7776rn4eXlxcmT56MTz75BA8fPkSHDh2cWvGYEMI/GsyRECegwfBcZ926dRgzZgz1Csyhon789lx2DBcfpAMA7s4P4zk3pCAazJEQQgghRRYFMIQQQghxOxTAEELc2oABA+j1ESHFEAUwhBBCCHE7FMAQQgghxO1QAEMIIYQQt0MBDCFFlEanQ+LTV0jLzOY7K4QQwjkKYAgpop4oVHipVCPpeSbfWSGEEM5RAENIEaXRFck+KgkhBAAFMISQIu7u3btgGAbx8fF2/T4mJgYMw/DSVHvdunXw9fV1+XKJ4zRaHd9ZKPIogCGE6D158gTDhw9HlSpVIJfLERAQgNDQUBw/fpzvrFllwIAB6N27t8F3gYGBePz4MRo2bMhPpkixM3ZzPJrOjMKzDBXfWSnSaDBHQohenz59kJ2djfXr16NGjRpISUlBdHQ0nj17xnfW7CYWixEQEMB3NnijVqshlUr5zkaxsv38QwDA33EP8MWbNXnOTdFFJTCEuArLAtmvXPbHqDPBqDNzlmuFtLQ0HD16FN999x3eeustVK1aFa1bt0ZERAR69uxpkG7IkCEoX748vL298fbbb+PChQv66TNmzEDTpk2xZs0aVKlSBSVLlsSIESOg1WqxYMECBAQEwM/PD3PmzDFY/o8//ohGjRqhRIkSCAwMxIgRI5CRkaGfnvs6Zd++fahXrx5KliyJrl274vHjx/rlrl+/Hv/++y8YhgHDMIiJiTH6CunKlSt499134e3tjVKlSqFDhw64ffu22e0TFxeHli1bwsvLC2+88QYSEhIMpv/7779o3rw5PDw8UKNGDXz77bcGI3NbWr/cdaxSpQq8vLzw3nvvGQ0cLS2HYRisXLkSPXv2RIkSJTBnzhy8ePECffv2Rfny5eHp6YnatWtj7dq1ZteXEKGjEhhCXEWdCcyt6LLFVX79d6n/NQClLaYvWbIkSpYsiR07dqBt27aQy+VG033wwQfw9PTEnj174OPjg59//hmdO3fGjRs3UKZMGQDA7du3sWfPHuzduxe3b9/G//73P9y5cwd16tTB4cOHceLECQwaNAghISFo06YNAEAkEmHp0qWoXr067ty5gxEjRmDSpElYsWKFftmZmZlYuHAh/vjjD4hEInz66aeYMGECNmzYgAkTJuDatWtQKBT6m3OZMmXw6NEjg/w/fPgQHTt2RKdOnXDw4EF4e3vj+PHjBkGAMd988w1++OEHlC9fHsOGDcOgQYP0r9aOHj2Kfv36YenSpfpg6PPPPwcATJ8+3ar1O3XqFAYPHox58+ahd+/e2Lt3r/63uaxZDpATzM2fPx+LFy+GRCLB1KlTcfXqVezZswflypXDrVu3kJWVZXZ9CRE8tohKT09nAbDp6el8Z4UUQ1lZWezVq1fZrKysvC9VGSw73dvlfxfvPLQ633///TdbunRp1sPDg33jjTfYiIgI9sKFC/rpR48eZb29vVmlUmnwu5o1a7I///wzy7IsO336dNbLy4tVKBT66aGhoWy1atVYrVar/65u3brsvHnzTOZl69atbNmyZfWf165dywJgb926pf9u+fLlrL+/v/5z//792V69ehnMJzExkQXAnj9/nmVZlo2IiGCrV6/OZmdnW7FFWPbQoUMsAPbAgQP67yIjI1kA+v3buXNndu7cuQa/++OPP9gKFSpYvX4ff/wx2717d4M0H374Ievj46P/bM1yALBjxowxSNOjRw924MCBFtY0j9Hjtwjp8dNRturkXWzVybucMv/cea+KuWU5MSnE2vs3lcAQ4ipSL+DrR5bTceTBiyy8yMwGK/G0+jd9+vRBWFgYjh49ipMnT2LPnj1YsGABVq9ejQEDBuDChQvIyMhA2bJlDX6XlZVl8AqmWrVqKFWqlP6zv78/xGIxRCKRwXepqan6zwcOHMC8efNw/fp1KBQKaDQaKJVKZGZmwsvLCwDg5eWFmjXz6hRUqFDBYB7WiI+PR4cOHWyuF9K4cWOD5QJAamoqqlSpggsXLuD48eMGr8W0Wq1B/i2t37Vr1/Dee+8ZLDM4OBh79+7Vf7ZmOQDQsmVLg/kMHz4cffr0wblz59ClSxf07t0bb7zxhk3rT4jQUABDiKswDCAr4bLFsVIGrNT2U9zDwwPvvPMO3nnnHUydOhVDhgzB9OnTMWDAAGRkZKBChQqIiYkp9Lv8zX0LBgcMwxj9TqfLaWp69+5dvPvuuxg+fDjmzJmDMmXK4NixYxg8eDCys7P1N2Zj82CtrOOTy9PT+oAuv/zLZhgGAPT5z8jIwLfffov333+/0O88PDysXj9LLC0nV4kShsdZt27dcO/ePezevRtRUVHo3LkzwsPDsXDhQquWS4gQUQBDCDGrfv362LFjBwCgefPmSE5OhkQiQbVq1ThbRlxcHHQ6HX744Qd9Kc2WLVtsno9MJoNWqzWbpnHjxli/fj2nrXOaN2+OhIQE1KpVy+h0a9avXr16OHXqlMF3J0+etGk55pQvXx79+/dH//790aFDB0ycOJECGOLWKIAhnHmWocKmM/fRp3llBPh4WP4BEZRnz57hgw8+wKBBg9C4cWOUKlUKZ8+exYIFC9CrVy8AQEhICIKDg9G7d28sWLAAderUwaNHjxAZGYn33nuv0KsLa9WqVQtqtRo//fQTevTogePHj2PVqlU2z6datWrYt28fEhISULZsWfj4+BRKM3LkSPz000/46KOPEBERAR8fH5w8eRKtW7dG3bp17cr/tGnT8O6776JKlSr43//+B5FIhAsXLuDy5cuYPXu2Vev35Zdfol27dli4cCF69eqFffv2Gbw+smY55vLXokULNGjQACqVCrt27UK9evXsWldChIKaURPOjN4Uj+/3JaDv6pOWExPBKVmyJNq0aYNFixahY8eOaNiwIaZOnYqhQ4di2bJlAHJenezevRsdO3bEwIEDUadOHXz00Ue4d+8e/P397V52kyZN8OOPP+K7775Dw4YNsWHDBsybN8/m+QwdOhR169ZFy5YtUb58eaMd8JUtWxYHDx5ERkYG3nzzTbRo0QK//vqrQ6UxoaGh2LVrF/bv349WrVqhbdu2WLRoEapWrWr1+rVt2xa//vorlixZgiZNmmD//v2YMmWKTcsxRSaTISIiAo0bN0bHjh0hFouxadMmu9eXECFgWFtfILsJhUIBHx8fpKenw9vbm+/sFAvVvorU///u/DAec8I/pVKJxMREVK9e3aBugivdf56JF69Hom5c2ZeXPBD3JITj15l6LjuGiw/SATjnWpV7LYzoFkQd2dnB2vu3TSUwK1euROPGjeHt7Q1vb28EBwdjz549+umdOnXSdyCV+zds2DCDeSQlJSEsLAxeXl7w8/PDxIkTC/W/EBMTg+bNm0Mul6NWrVpYt26dLdkkPBGLGL6zQAghpJiwqQ5M5cqVMX/+fNSuXRssy2L9+vXo1asXzp8/jwYNGgDIKcKdOXOm/jf5a9drtVqEhYUhICAAJ06cwOPHj9GvXz9IpVLMnTsXAJCYmIiwsDAMGzYMGzZsQHR0NIYMGYIKFSogNDSUi3UmTkLhCyGEEFexKYDp0aOHwec5c+Zg5cqVOHnypD6A8fLyMjnuyP79+3H16lUcOHAA/v7+aNq0KWbNmoXJkydjxowZkMlkWLVqFapXr44ffvgBQE7N/GPHjmHRokUUwBBCCCEEgAOVeLVaLTZt2oRXr14hODhY//2GDRtQrlw5NGzYEBEREcjMzNRPi42NRaNGjQwq+4WGhkKhUODKlSv6NCEhIQbLCg0NRWxsrNn8qFQqKBQKgz9CCCGEFE02N6O+dOkSgoODoVQqUbJkSWzfvh3169cHAHzyySeoWrUqKlasiIsXL2Ly5MlISEjAtm3bAADJycmFWirkfk5OTjabRqFQICsry2QnVPPmzcO3335r6+oQ4lRFtI48KeLouCXuwOYApm7duoiPj0d6ejr+/vtv9O/fH4cPH0b9+vX1g4oBQKNGjVChQgV07twZt2/fNuj+2xkiIiIwbtw4/WeFQoHAwECnLpMQU3Kb5GZmZtrd8yshfMktOeeqoz9CnMHmAEYmk+l7gWzRogXOnDmDJUuW4Oeffy6UNneU2Vu3bqFmzZoICAjA6dOnDdKkpKQAgL7eTEBAgP67/Gm8vb3N3gjkcrnJ0XMJcTWxWAxfX1/9OD1eXl767uddRZOtAqtRA8hpFkuIJSzLIjMzE6mpqfD19YVYLOY7S4SY5HBPvDqdDiqVyui0+Ph4AHkDnwUHB2POnDlITU2Fn58fACAqKgre3t7611DBwcHYvXu3wXyioqIM6tkQ4g5yg3JbBxvkyotX2XiVndOtviyLSoGI9Xx9fU02xiBEKGwKYCIiItCtWzdUqVIFL1++xMaNGxETE4N9+/bh9u3b2LhxI7p3746yZcvi4sWLGDt2LDp27KgfxbVLly6oX78+PvvsMyxYsADJycmYMmUKwsPD9aUnw4YNw7JlyzBp0iQMGjQIBw8exJYtWxAZGWkua4QIDsMwqFChAvz8/KBWq12+/C17r2P/lZzgKXp8J5cvn7gnqVRKJS/ELdgUwKSmpqJfv354/PgxfHx80LhxY+zbtw/vvPMO7t+/jwMHDmDx4sV49eoVAgMD0adPH4OusMViMXbt2oXhw4cjODgYJUqUQP/+/Q36jalevToiIyMxduxYLFmyBJUrV8bq1aupCbUboGp/xonFYl5uCC/VDB6+zCmBKUq9qcYkpGL5oVv4rk9j1Chfku/sEEJ4YlMA89tvv5mcFhgYiMOHD1ucR9WqVQu9IiqoU6dOOH/+vC1ZI4QUEwPWngEAfLnpPHaN6sBzbgghfKHBHAlnqCde4kovXrn+tRwhRDgogCGEEEKI26EAhhBCioAUhRJqrY7vbBDiMhTAEEKIm7twPw1t5kbjg1Xmh1whpCihAIYQQtzclrP3AQDx99P4zQghLkQBDCGEEELcDgUwhBBCCHE7FMAQQgghxO1QAEMIIYQQt0MBDCGEEELcDgUwhBBCiBMw1D25U1EAQwghpFhhnTjy7Mk7z5w3c2KAAhhCCCGEIxeoLx6XoQCGEFLkXLifhl+P3IFW58RHbUIIryiA4UCKQon+a07j/vNMvrNCCAHQa/lxzNl9Df/EPeA7K4RnaZnZ2HDqHtIzafTyooYCGA60mRuNwzeeoMOCQ3xnhRCSz42Ul3xngfBs+J/n8M32yxj51zmLaZvPikK1ryKho5I7t0ABDCGEkCIr9nWl2qM3n1pM+/xVNgBg/9Vkp+aJcIMCGEIIISSfMiXkfGeBWIECGEIIIYS4HQpgCCGEEOJ2KIAhhBBCiNuhAIYQQgghbocCGEIIIYS4HQpgCCGEJ+lZatxKzeA7G4S4JQpgeLT70mOM33IBSrWW76wQQnjQes4BhPx4GNceK/jOCiFuhwIYHo3YcA7/nHuAP2Lv8Z0VQggPVBodAOCYFZ2sEddhHRiummE4zAgxiwIYAXj6SsV3FgghhBC3QgEMIYSQYivx6Su+s0DsRAEMIYS4OXptYb++v57kOwvEThTAEEIIKbYepSv5zgKxEwUwhJAii0omCCm6KIAhhBCesbC/1QshxRUFMIQQQghxOzYFMCtXrkTjxo3h7e0Nb29vBAcHY8+ePfrpSqUS4eHhKFu2LEqWLIk+ffogJSXFYB5JSUkICwuDl5cX/Pz8MHHiRGg0GoM0MTExaN68OeRyOWrVqoV169bZv4YuRr1qEqFwoCsLQggRPJsCmMqVK2P+/PmIi4vD2bNn8fbbb6NXr164cuUKAGDs2LH477//sHXrVhw+fBiPHj3C+++/r/+9VqtFWFgYsrOzceLECaxfvx7r1q3DtGnT9GkSExMRFhaGt956C/Hx8RgzZgyGDBmCffv2cbTKzrX9/AO+s0AIIcQBFPu7B4ktiXv06GHwec6cOVi5ciVOnjyJypUr47fffsPGjRvx9ttvAwDWrl2LevXq4eTJk2jbti3279+Pq1ev4sCBA/D390fTpk0xa9YsTJ48GTNmzIBMJsOqVatQvXp1/PDDDwCAevXq4dixY1i0aBFCQ0M5Wm1CCCGEuDO768BotVps2rQJr169QnBwMOLi4qBWqxESEqJPExQUhCpVqiA2NhYAEBsbi0aNGsHf31+fJjQ0FAqFQl+KExsbazCP3DS58zBFpVJBoVAY/BFCCCG2sqfxmlbHYsuZ+7jzhDrGcxWbSmAA4NKlSwgODoZSqUTJkiWxfft21K9fH/Hx8ZDJZPD19TVI7+/vj+TkZABAcnKyQfCSOz13mrk0CoUCWVlZ8PT0NJqvefPm4dtvv7V1dQghpFjR6Vj0XX0K5UrJ8dPHzfjOTpGx9ex9fLXtksF3VA/NuWwugalbty7i4+Nx6tQpDB8+HP3798fVq1edkTebREREID09Xf93//59vrNECOGZu9xAXJnPG6kvEXvnGf678Mh1Cy0GziW94DsLxY7NJTAymQy1atUCALRo0QJnzpzBkiVL8OGHHyI7OxtpaWkGpTApKSkICAgAAAQEBOD06dMG88ttpZQ/TcGWSykpKfD29jZZ+gIAcrkccrnc1tUhhJBiRafjOweEcMPhfmB0Oh1UKhVatGgBqVSK6Oho/bSEhAQkJSUhODgYABAcHIxLly4hNTVVnyYqKgre3t6oX7++Pk3+eeSmyZ1HkeQmT4mWUK+nhBCSh66JzmVTCUxERAS6deuGKlWq4OXLl9i4cSNiYmKwb98++Pj4YPDgwRg3bhzKlCkDb29vjBo1CsHBwWjbti0AoEuXLqhfvz4+++wzLFiwAMnJyZgyZQrCw8P1pSfDhg3DsmXLMGnSJAwaNAgHDx7Eli1bEBkZyf3aE065S3E9IUUNnXu2ocCiaLApgElNTUW/fv3w+PFj+Pj4oHHjxti3bx/eeecdAMCiRYsgEonQp08fqFQqhIaGYsWKFfrfi8Vi7Nq1C8OHD0dwcDBKlCiB/v37Y+bMmfo01atXR2RkJMaOHYslS5agcuXKWL16NTWhJoQQQoieTQHMb7/9Zna6h4cHli9fjuXLl5tMU7VqVezevdvsfDp16oTz58/bkjVCCCGEE1Sg5R5oLCRCSJHlLq8K6IZJiO0ogCGEEEKI26EAhmNUmY4QQghxPgpgCCGkGGHphRUpIiiAIYQQQhzE2DWCEnEEBTCEM+5SYZIUP4/TszB/z3U8TMviOyvFHsuy2HPpMe49o0EPiWMogCFEAFYfvYORG89Bq6PifWcYuPYMVh2+jf5rTltOTJxq35VkDN9wDm9+H8N3VoibowCGEAGYHXkNuy4+xoFrKZYTE5tdT34JALiVmsFzToxztPK/O5V+nr1Lgx4SblAAQzhDLbAcl5Wt5TsLhBR7dC1zDxTAEEIIIcTtUABDiJtTabQ4cesplGoqvSGEFB8UwBDi5qb/ewWfrD6Fr7dd4jsrhBQJ7lSnqDijAEYA6HUrccSmM/cBANvOP+Q5J8QdUP0OUlRQAEMIIYQ4iEptXI8CGAGg456Q4o269yfEdhTAcKw4XIauPVZg46kk6Ap0ukZPIERoGDooCSmyJHxngLifbkuOAgA8ZSK816wyz7khhBBSHFEJDLHblYcKvrNAiFks1VglpMiiAIYQAaG6EKSoc4e3ehT3ugcKYAhn6KQnhBDiKhTAEEKKNHqNRAqiQ6JooACGEFKkRV56zHcWLHLkhsqyLG6kCHOUbUKciQIYQkiRduVR0a5svv7EXZxOfM53Noo9d6jbU9RQAEMIIW5s1eE7fGeh2GBZFlcepSMrmwZOFQIKYAghhBArRF56jLClx/D+yhN8Z4WAAhjCISpCJYQUZf/EPQCQ0xs54R8FMIQQQogTMDTSnVNRACMA1KKPEEKEgzqUdA8UwBBCCM8WH7iBVYdv850N4iZYlsXlh+nI1uj4zgqvKIDhWHHuIKk4rzshjlBrWczfc52TG5JSLewWMjRCuON+PXoH7/50DCM3nuM7K7yiAIYQUmQxDONWgTUXry7e/P6Q+WW40fbgi9Drrvx6NBEAsP9qCs854RcFMBwrTg8XdB0khH8FrzkpChU/GSHExSiAIW6FxrUhuYrTwwJxB3RAuhoFMMRt3Ex5iTZzo/FH7F2+s0IIIYRnNgUw8+bNQ6tWrVCqVCn4+fmhd+/eSEhIMEjTqVMnMAxj8Dds2DCDNElJSQgLC4OXlxf8/PwwceJEaDQagzQxMTFo3rw55HI5atWqhXXr1tm3hqTImPbvFaS+VGHqv1f4zgohhBQbsbefYfSm83iWIazXkxJbEh8+fBjh4eFo1aoVNBoNvv76a3Tp0gVXr15FiRIl9OmGDh2KmTNn6j97eXnp/6/VahEWFoaAgACcOHECjx8/Rr9+/SCVSjF37lwAQGJiIsLCwjBs2DBs2LAB0dHRGDJkCCpUqIDQ0FBH15k4ibOL9HX0+ogQwqPi2oLq419PAgB0LPDTx814zk0emwKYvXv3Gnxet24d/Pz8EBcXh44dO+q/9/LyQkBAgNF57N+/H1evXsWBAwfg7++Ppk2bYtasWZg8eTJmzJgBmUyGVatWoXr16vjhhx8AAPXq1cOxY8ewaNEiCmCKsWJ67SCEuBh1ZGfcgxeZfGfBgEN1YNLT0wEAZcqUMfh+w4YNKFeuHBo2bIiIiAhkZuatdGxsLBo1agR/f3/9d6GhoVAoFLhy5Yo+TUhIiME8Q0NDERsbazIvKpUKCoXC4I8QQoiwUEV8whWbSmDy0+l0GDNmDNq1a4eGDRvqv//kk09QtWpVVKxYERcvXsTkyZORkJCAbdu2AQCSk5MNghcA+s/Jyclm0ygUCmRlZcHT07NQfubNm4dvv/3W3tUpktKz1Lj0IB3BNctCLOK++IIKRIonlmXxJEMFv1IefGeFEFKM2R3AhIeH4/Llyzh27JjB959//rn+/40aNUKFChXQuXNn3L59GzVr1rQ/pxZERERg3Lhx+s8KhQKBgYFOW547eG/Fcdx58gozezVAv+BqDs0rK1sLT5mYm4wRt/bNjsvYeCoJSz9uhp5NKvKdHYvc6XWAKzpQc6ftQYg5dr1CGjlyJHbt2oVDhw6hcuXKZtO2adMGAHDr1i0AQEBAAFJSDHsPzP2cW2/GVBpvb2+jpS8AIJfL4e3tbfBX3N158goA8N+FRw7NZ8+lx6g3bS9+OWJ+rBYqGS4eNp5KAgAs3JdgISVxBXcrCS2uFWEJ92wKYFiWxciRI7F9+3YcPHgQ1atXt/ib+Ph4AECFChUAAMHBwbh06RJSU1P1aaKiouDt7Y369evr00RHRxvMJyoqCsHBwbZkl3Bk3JYLAIC5u6/zmo/iECAVh3V0JapvQVyF4jLXsymACQ8Px59//omNGzeiVKlSSE5ORnJyMrKysgAAt2/fxqxZsxAXF4e7d+9i586d6NevHzp27IjGjRsDALp06YL69evjs88+w4ULF7Bv3z5MmTIF4eHhkMvlAIBhw4bhzp07mDRpEq5fv44VK1Zgy5YtGDt2LMerzz17rpd0kSWEEGItipVy2BTArFy5Eunp6ejUqRMqVKig/9u8eTMAQCaT4cCBA+jSpQuCgoIwfvx49OnTB//9959+HmKxGLt27YJYLEZwcDA+/fRT9OvXz6DfmOrVqyMyMhJRUVFo0qQJfvjhB6xevZqaUBNCSDH3NEPlVg99Fx+k4c+T99wqz+7Cpkq8lnZAYGAgDh8+bHE+VatWxe7du82m6dSpE86fP29L9gghxADVtyha9l1Jxhd/xOH/WlbGgv81sZg+6Rn//Zb0XHYcAFC+lByhDYz3j+YsSrUWWdlalC4hc+lyXYXGQiKcoXsFIcSZFkXdAABsOfug0DSdrvADdpfFlh+ojTLxrO7IJe5myksHfm2fVnMOoNmsKDx/le3yZbsCBTAC4K5PiVQgStyBK5omE349f5WNtvOi8e1/huOkKdU6nnIkDC+VOWMMXrifxm9GnIQCmCLicXoWftifgBSFkpflZ2ZroNZSSCMk1N9HDtoORd+6E3eR+lKFtcfv8p0Vl6AjOgcFMEVEv99O46eDtzBk/dlC02x9ArW1splSrUX9afts+g0hpDB7CmNtLcF1t7qkSrUWOy88cu1rECq0M0poxw4FMEXEzdQMAMClh+kOzedxehbazT+I5YduWf2bu89eObRMawns3CGEcypN8X7lYczCfQn48q/z+PBn02Phce3ErWcuWxaxHwUwdjh84wnGbY5Hepaa76xw7sf9N/AoXYnv3bSX1VSFEssP3cLTDBXfWbGLm1aHchjLslh3PBFx917wnRVeNZy+D3svJ/OdDUGJvPQYQN5Dmisss+EBjvCHAhg79F9zGtvOP9TXiC9KtEIrI7TRgLVn8P2+BHzxRxzfWeGFsZYY7mDflRTM+O8q+qw8YfVv3PxQNWn0pqLdfURRjdGNrRfVv3IuCmAc8Cgti+8sWMXekyju3gtBdb5kzYXv6mMFALjtk7yjm7vhjH3Ycf4hN5lxodtPXPd0TdyXu7bYJM5BAUwRtf184X4SbNVn5QlsOXvfYjpqpiocmdlajNkcz3c2CHEtAT1oEdehAKaI+vnwHft+WOA68M+5h8W2XgYhhAgRXZJzUADDMXrnSQghRZOQH+ZYloVSreU7Gy5FAQyxyFLprJBPakIKPlOoNFocuJqCDJWGn/xwjM4/AgD91pxG0NS9ePLSSAvMInqMUABTDBSVOipUtkXys/fGPTfyGob8fhZf/FG400dSPDjaX5a1XHntPXrzKQAg8uIjly2TbxTACICQWvoQYi13fV266UxOxfTjxbSzMvfca9w5cfsp31kgHKEAxgFCvhDY29zQlnUqGuU6wsWyLNRa6pnVEXSMkoLOuWkXC3wQ+sM1BTDEYXSTcI6+q0+hybf78VJZ9Hp8JqYJ+5bhetbcQ4WwzYpaXaT0TDXe/D4G8/dc5zsrJlEAQ4hAnbj9DJnZWsQkPOE7K8WWTsei35rTiNh2ie+sEAHgo0Dir9NJGLD2NDKzXVvpfH3sXSQ9z8Sqw7f13wkhUMyPAhiORV1NQVqmC0dN5ZHQDmZCuHbpYTqO3HiCv04nGZ0ee/sZDiWkujhXbq6IlVQ4W8S2S4hJeIJ1J+4anX7xQRqm/3vZ5vmmKJQImroHUVdTjE7XCfz1EUABDOfuPHll03guzmLvNcKe3xW1olNCcmnMjC2l07H4+NeTGLj2DJ656eCh7oCuLzleKo2XwPRcdhzrY+/ZPL82c6OhVOsw9Hf3bY1HAYwT3H7yiu8s2E34MXfR5gYPPU7hjjep/LsqjceR6d1x2xH3JLRDjQIY4j6K6c2d2I8FHTaEO7YGi/dfZDonIxwICijFdxYcRgEMsUioT3h/xz3AwLWni0yPqsVZcS15MiZbo4POzKur4szUpUiox8/vdrzaIdajAIZwwL4IR6XRYkXMLVx9pLDr9xO2XsChhCf4OV8teSIc4RvOYcSGOL6zUYhNfR3xFLxbMwq8vYTet4ez2dtHljuzq26j4F4YFUYBjAOceR1ITlfiwNUUuy827nCOrj6aiAV7E9B96VHrfmBinRQ81j8gxr14lY3IS4+x+1Iynr8qHq3yuLTvSjLfWSBE8CiAEai286Ix5Pez2HnBteNauPLpLP5+msuWRVwrfxNMIT/xK9VaLIq6gcsuGhuHgCol2YnrZ1IBn5ZWowBG4I7fEv64HfaW9pjqf4AQR9x9atgK0NzhueLQLSyJvol3fzrm3EwRu7nLjdbZr1ycuRnc9WGSAhhikbtcQIoCd3j1J3RdlxyxOu3Vxy/NTuf+qZdOJiI8n7tpXzAUwBRRXN0IHZ3NrouP8OnqU0Y7+gprXMG2mbnBtd8Z3X27e1Dj6t2mVFs/AObDtCwn5sTQ2bvP0WL2Aew4/5DT+QqtsmXi01dIfankOxvEBuY6bBQyCmAEwOkPZTxe30ZuPI9jt57iu72FBwQTufuduYAd5x+i/rR9+O1YIt9ZcQlzN05zLT10Ohbnkl5AqdY6I1s2ufbYvhZw9hjy+1k8f5WNMZvjXbZMV0t9qcRbC2PQek606URGDo1lB2+i2leRiLz42K7lsu7wdAPgfNILDP8zDvefC7d/mFzucHmmAIY4zJrj/EWm+7YU0ulYVPsqEm/MM3NRBvQ3plm7rhp8H5OQihgz4+UIrc+PW6kZnF9gWZaFRptTMvLbsUS8v+IEBq07Y/Y3uekdwcB8CVDnID+Hl2Etoe1nZ7iZkmHzb9Iys7Fw/w0AQPjGc1xnyW7LD90y8q1jd/X3VpzAnsvJGLHBeet54UE6rjxKx+IDN8ymsyfoE9oRTAEMIRasfN3PzKN024vFX6k0GLD2DAasPWPy9VLMjbzgxlhpnCurTaRnqRHy42F0WHCI0/l++tsptPvuIJRqLf44mdO514nbz/TTCz7tXU9WoN60vfhxfwKn+ShIJnH/S6A7PCmb03RmlNnpfK3f9/sScOeJdQHZzZSX+uPaGnef2T7cjLWbYfv5hwhbegyLD9y0eRnW+vXIHfxyhP/+t9z/7OWV0OLRPEJ7L+7OapYvYfdvM7PzXpNkZRt/ZaLIEk5Pwo/TnVMn5PitZ0hRqBB37wXUVpSszNt9HWoti6UHjT0Fu05R7PSMz6vWjZSX+PnwHR5zYJtXKutecw77U3gdNjqLQqnGnN3XMHf3daTz3AcXBTAC4K7XyNySAXsv8u6y2kXhKd0ZrC2CLliC9NiOkix7sQD18SIg4U58dcInV9/Ibb3kchmIqzV5DyBcvOZ1hITXpRPXcPCRy10DLMIfoRwyvx69U2S6AchQaVBS7t6XbIXSfevCEeGx6dFy3rx5aNWqFUqVKgU/Pz/07t0bCQmG76iVSiXCw8NRtmxZlCxZEn369EFKimGHZUlJSQgLC4OXlxf8/PwwceJEaDSGxegxMTFo3rw55HI5atWqhXXr1tm3hk5l+TKdnqVG6KIjWOLE95FcKiLXekEq6tv2xatsjNgQh0NmKiy7mjODF1f26bLt3AM0nL4Pq4+6z+sXZzD1MFVUglRzHFlF+8ZCEj6bApjDhw8jPDwcJ0+eRFRUFNRqNbp06YJXr/IqJI0dOxb//fcftm7disOHD+PRo0d4//339dO1Wi3CwsKQnZ2NEydOYP369Vi3bh2mTZumT5OYmIiwsDC89dZbiI+Px5gxYzBkyBDs27ePg1Xmzp2npit4xb6uoLj+xF0kpLzEIgs1wosjW09IU68shHztKk6lV/P3XMfuS8kYuNZ86yJ3Yu3uc/ZuHrflAgBgduQ1ly+bFE1FIeizqTxy7969Bp/XrVsHPz8/xMXFoWPHjkhPT8dvv/2GjRs34u233wYArF27FvXq1cPJkyfRtm1b7N+/H1evXsWBAwfg7++Ppk2bYtasWZg8eTJmzJgBmUyGVatWoXr16vjhhx8AAPXq1cOxY8ewaNEihIaGcrTqjrvzxHRN8i83nceZb0KsqrBojr0HmStunLnLEPIF9N6zV7jySIFuDQOKZIVMIUlWWK7bYup4LgoXUy7pWECt1UEqpvpXth4b15MVqONXCiKRsM733KbiAAT31GVvaSLfq+HQ2ZGenlM5rkyZMgCAuLg4qNVqhISE6NMEBQWhSpUqiI2NBQDExsaiUaNG8Pf316cJDQ2FQqHAlStX9GnyzyM3Te48jFGpVFAoFAZ/fMpQavDz4dvC6LBIWOexS735fQxGbDiHP21o4lgQ3y263D3u4rKTsfwX2mwNvxUInenwjSdoMzcaKg3/nf3ZwtWH6tMMVaHjoOvio5i3p3BJVS5bzichdZCXP9t8BvxCehC0O4DR6XQYM2YM2rVrh4YNGwIAkpOTIZPJ4Ovra5DW398fycnJ+jT5g5fc6bnTzKVRKBTIyjLezHPevHnw8fHR/wUGBtq7apzIUmsxb8917Ih37WjSJE96vs7zpv57hcec5HCHUob8edx0Oglpmdl2zcdZ17j8fcGlviw8PIWQ2Xrhf/4qGzeSc15Te0hdXxITefGx3T3jWivu3nO7f3v36Su0nH3A6NhXvx4tHr1hF3d2nxXh4eG4fPkyNm3axGV+7BYREYH09HT93/379/nOkluy5yZr783K1p/ZWhKyYF/h4Qtcbc/lZL6zYLevtl1Cl0XWD4xo3TwvWpVOKA95QsmHXCJ26fJeqTQI33gO4RvP4ZXK+n6KLF0+Cl5fPv/d/v5T9l3JObfMvcrnmlCOBz4JaUBSuwKYkSNHYteuXTh06BAqV66s/z4gIADZ2dlIS0szSJ+SkoKAgAB9moKtknI/W0rj7e0NT09Po3mSy+Xw9vY2+CvOrD3P1Fodxmw6j02nk5yaH2dSa3WYsfMKDl03bP3yyIUD9ZkydcdlvrPgEK5LOR68sG6fCOgaWeRYs22z8o1TpXLiq7riupuFsN6W8uAOwZpNAQzLshg5ciS2b9+OgwcPonr16gbTW7RoAalUiujovDFjEhISkJSUhODgYABAcHAwLl26hNTUvJtNVFQUvL29Ub9+fX2a/PPITZM7j+IoW6PDzZSXnEe/O84/xI74R/hq2yWTaYR+M/nr9H2sO3EXAy2MrWNMVrbWpidMZ3PWpq72VaST5uyGBH48C1l6lhqxt5/xNq6TyWbUrs0GJ+4/z8R3e68j1YrK70LFd4xjUwATHh6OP//8Exs3bkSpUqWQnJyM5ORkfb0UHx8fDB48GOPGjcOhQ4cQFxeHgQMHIjg4GG3btgUAdOnSBfXr18dnn32GCxcuYN++fZgyZQrCw8Mhl8sBAMOGDcOdO3cwadIkXL9+HStWrMCWLVswduxYjlff9ZLTlZi7+xqSntlWuXfw+jN4Z9ERbD//kNP8FOxB0p6om+9KrvbS6Vg0mL4XDabvc0llSVdXCCy4X26lvnTp8vWsWG1rjzv3PNKKjt7Lj+PjX09iy1l+XtEL/WHKWllqLTosOISVMbfReq75QWK5wFlpSoEdwPfusCmAWblyJdLT09GpUydUqFBB/7d582Z9mkWLFuHdd99Fnz590LFjRwQEBGDbtm366WKxGLt27YJYLEZwcDA+/fRT9OvXDzNnztSnqV69OiIjIxEVFYUmTZrghx9+wOrVqwXVhNpeX/wZh1+O3MH//ZzXosrcSZl74B29+RQAsD7W/tY0zuKqGzPXy8nW6vSVQpPNdW9fRO6a1o7rwgV3DWoL0nJY0iCkugP2SnyaU99klxMr9xbcTu7wKsNWBY8rls0Z8b7zDzH8ZMgGQmqFZFM/MNacgB4eHli+fDmWL19uMk3VqlWxe/dus/Pp1KkTzp8/b0v23MKF+2kArOszgw8Fd7GrjtUZO69g7Dt14OMpdc0CCbHC6mP2tWZ58lKFEnIxvGSOdf1/52kGGlX2MZtGCDeUzGwN3loYg3Il5Tb9TuhBnauy9/vrB9PbVlZIVqodexj5PfYubqXmdcT6IlONlTG3MaRDdbfqe8h9ckpsY+VFzZqLn7Ouj/nnu+7EXcyJvOqcBTmK52usK6/xxpb1NENld3Nqd/XkpQo/Rt2wqxlx6kslWs05gOazohzOx+hN8Q7PwxV+2H8DKQoVrjwq3P/W5L8v4oNVJzgtzXKEsdJBxwdjdOwiKTcxYKypwRIVSsfq7U0z0q3Ed3uvY+Mp6xtzeMN1rb9MoQCGOMya1wXW3IRvppoemqFI4Pn6bW8g2nL2ATSdGWWx4iaXFSz5LlQI33AOS6PtG7/s3L0XAACl2jmtd8ZujhdMMJArt0mzMZvP3seZuy9w5q79fb4Yw+Ux0uTb/VjM43AvlUrnta7ddyUZvZYfx+qjd1B36l4zv+Le9eS8enLmHm67iU7hosdQeB2Z5YpsmUQBjICkZ6oL9dwr5BJWR/Mm5HUjhWlt2WH8v9Wwi1qrw9rjiTjN8c0W4O5Vz/bzD7HXDfsX0rH21WKz5rDj4lqyWCAD7n7xRxwu3E/D7MhrggtUc02X/g4A8Dr9E6/5oABGQJrM3I8OCw4Jov8S7gnzROTTxQdpuP3EsNTJ2C2OqydNUxd5tVaHSw/SnTZ/d7Lu+F18+5/trzKz1Fpce6xwWZ2ODJWjrzwcw1cX+46eC/efZ2IHxy05ixW+i0YLcKyGGXGK3Iq+jrB3FF13LO43hbPKjU5Yv9SXSvRcdhwAsPjDptwvwAa1v9kDAPjizRro1aQSr3lxtYI9Jcc/SLP6t/nPlQ9WxSIzW4sVfZsj/xiCqw7fxrA3azqWSc5xH3zYG7dxlZPMbOvqhHRYcMih5Qj0UldsUQkMIS6S/2J9/3leKZurAkBLy/n58B3XZMQK7laak5md0yrkn7gHBt/P38PNcBbmSnZymzZzyVXbn6vl/O6k7iWkGQ+Bs2sAtXNbjVpTj1CoD4p8ohIYwhtbT0hnXlRddcE+cuMJLj1MR9saZVy+bEtKezmnCbur6jBYy97XHyzL8tJkme+mxlytcf81p6HWCuRgt1LdbaGA+iXw4h7wzrdOW87RW08sphHKdUJIqASGCEZxeMDot+Y0vt+X4NSOwOzVJNDXpvTWdMBIHBd1NcVyogLm7blmVbpey49j8xn7x0FTKNX4N/6hVa9wuAhe1Brr5/HLkdsOL0+sft0q507OqydnxRAH7NjHtigqHUsWRAGMjR68sG0IAHtwfZKYO3TpRsOPwwnGn7hy9z3XTU6BonsRK+qsHQAzv58P38FLpeWKvhfup2HyP6bHQcvPWEnQ8D/jMHpTPF5k2lep2FL/K88yVFDn6wslISVfM18Lx/Pc3dyNRk+FH3mEdBWhAMZGE7de5DsLVikKgUlmtgabzyThaQa3IyLzJf/1v0XV0mbTfrAq1ux0Z4hJeIKUl/z0EF3weHXm8ev8QE4YJ5+O425oRv6V1zN67rF8/NYzbheSz71nr9Bi9gE8e2W8E0VnNHU35cUrflt9CQ0rkGOcAhgbpfJ0gefS5YfpeHthjOD6kij4lDNj5xVM/ucSPv7lJAAn39TMzFsYp6prOBKgF4Wg2Rwu6yB89Essdl18JIi8AMCWs/exIuaWyemHbzyxq1diR1i6Ptnzas1eyYosHL5huZ6KvYQwHIRVBFYRhwIYgXPG4fLFH3G48/QVhv0ZZ/HmbM3x6qxzL/cCVuR76HURa/aTM0q7+OozxBkuPkjD0N/PFuq/J5e1a3ryznOM3Cicsd4m/X0RC/YmmByxvP+a0y7OkbBodSzv20AoMY6QzmYKYATu77gHuPcsXzNJDiLgLAcHAsvl6AlV8OcCOT8LEdIJq9bqeG+VYg2h7ktH9Vx2HFFXUzBk/VmbfyuUG5A56VmOjbHDJXfYXlxxh3NaiCiAEaCCx3Juh2e2yH/uF5VTw9ZznKvr37c7Cw985kq5dTaeZajQcPo+jNhwjtf8EBg+VLgZod8rWRZ4/iobj9KE/br+2mOFQQXjosYdAkjqB0YALF1PjNXU33PpMW4/yUD4W7U4fX/qyicBIV1H86/2swwVNp+9j85B/khWKHH3mXNbnlm7+7affwiVRleo99iiiLebLAfLNTmopZAOeIHjYiRvZ8i/a7stOQoAuDs/zCU3e6EcP0KKayiAcTevz5Thr5/CW1UrgzY1yjowO8cOx/RMNcZsindoHrnOJaXh8sN0NKzkw8n87DXqr/M4cfsZFuxN4DUfuYpSHRJ3Zs1eOHg9Fd0aBjg9L3wTys1UCKxprm6JNdfhFTG3Mert2vCUie1eztm7z/E/Hlo4Ogu9QrJRVjY39Ue48jTDeBNDrlg6r77ffx1n773gbHnv/nSMs3nZ68Rt5zUNzZV/uzrrZuDswMdwHViTXdoL7WZndrtw8Hg58W/36GrBmP8uPMLCfQkUNNtArWXx5KVrunr45Yhjw31YDl6s2+9COTqoBMZG2QLoCvuZjS1FzF2TLxQYvM6WHmJZFngs8PfUQlIUbwoqjRZbztzH4RtPcS/fqzZHS/bc4f17UbTuxF0AQE2/EvrvaF84n7Wv7recvY/RIbVtnn/uPixbQmayXx13RAGMAFm60bWYfcDiPKy9gWw7J9yh5d2mbwQ34YzNuTLmNhYfuMn9jAmvnjm5ZJfYR6tz7CHI10tapAIYeoUkAM6+TV9+mA4gJ8pPUfBTYmLsAYPP8CTu3gvORgrmkrs1pzydaLw3VHdbD2ucLdDz60ulcJock+Khoq+HU+f/1+n7eP46wHGHoUcogHFDdf1L2ZT+1et6O/P3XEebudH6A9SZNBw0L3TmTbDPyhP64nJXMTX+kbswdjmzplQnW2P5WHCHi+XgAn2/OFofwVoMI5w6B7li79hfT0wGNSIkG9BWdJXDHPHHlUdu90YVHPq9NcdRDwHUQ7QWBTBuqGxJmV2/+9kJF1xTN7B9V7jv5tuZF3GGAXB8KbC8LcpA4ZRlfLXNukHz3ImpwCP/67/IS5brVXFRP+hhWpZVwZK98hff61hg1WHbRju29xWeUAuz/jx5z67fDRDvxReSSGySzeY4R+7L2n3sitfqD9NsHzyULxTAFFEKC6O82sLcyWVqWsHefnU8XIVtPtejpgJPriFc8q/Dy36lKvx6QSrm/uJT8LWGOc4o5bBmG2tcUPH97N3naDf/IN5faXunj8UNV3tjyo7Ldv2uGuO6MYy44uyw4Y6JFnx8MvZQYWn0cFejAMZG7tBhUUxCKqfjB3Ex9MAhjl+fOFqZraD821wKx+s2fPzryULfecny6sznDyYsHVPmAo8l0VSBFsgZcgMALj90TukZ4L6tyJRqLbouPoIZr3uUjk9K4zdDxOW4um3dfZaJ3ZddO6inORTAuKH8N1tjN7+F+13TAdua44mIvp5qdNpSDm6s5opLHRnJ1xUuPkg3O93UzbC4tryKdUHfO+7MkaPivwuPcD35JdaduIvzSS8wZ/c1i78R6msrvhk7PYvbKTt7l+Xjx1WoGbWNitmxarek56a732dZFhHbLmFHvPVByPkkw87yXNVxlCPuF9gGfBe/OuNCG2dFJ4bWlFwcvfmUi+xYxd1uzjqWhcKBFk/5X9+evGP9K8dc7lDBmnDPHfY7lcC4mMM3EXe7+hqR+PQVNp25b9Nv3ltxwuB0EouEf3L9ecq6So7usksLZpNlgUwTPVMzBdIR+204lVToO3fepKwb3BiJaUJ6lUoBjI2EVlzI5c3BVcMkZHPQxFpguwGrj9rWwmvL2QdOyolpRTGQiL+fhmUHb0ItgB6yncXUEA32uPLI/KtNIRDinjSXJ1eWVNjdtYQTs2hLQwKu0SskAXL0BDb2VLz9vOUb5tfbLTfzPebCon5znHmRs2fesyOF817YlSr5elpsdnn3mW034FQbOlvsvdx1rY6KQgB47JZ156+QnrIFT2hPU05W8Dy4mZqBltXK8JIXKoGxkaPRtrFf23qpsFQKdOdJ4RvG2M0XLM53+3nLwwqcvcdftE2XVMc4o/SwWRVfo99/kq8V1r821HUCgAlOHgzR7v5YuM2GoBncpIrZDbpI4+AgVjmxryVbUQBjIyG8Qsp/cTlxWxglIu4g9aUSf8c9gJKDZuFrjiWi57JjSMs03auxPcGusSJid3wavmChFZY5N1NecpgT7gjg1LeL0EqOBJYdYgeh1GOiV0jupkAEddzKIuGixrrTxzBV6znRAIBrjx3vK2Tmrpxu0FfE3MbX3es5PD93RTcjQlzH4W4WbPi5EB7WLaESGOKW0rPsb1YadZW7nkC5KM2xhzUd+ekKpHGHC1IuZ2bV3gq/RSFYE1ppTFEwYkMc31kotiiAEaCiOJJvflzU2l904AYHOTGOq+JRawMGewKLhtP34YaZVy2/HLltUz87QqfR6nDyzjNBvX93Bxqtzq0CV3d0/JYbdcLohFsLn7crmwOYI0eOoEePHqhYsSIYhsGOHTsMpg8YMAAMwxj8de3a1SDN8+fP0bdvX3h7e8PX1xeDBw9GRoZh1/cXL15Ehw4d4OHhgcDAQCxYsMD2tSMOKxhsFPHYihd/nS7cz0d+xgK+LLUWcyKvmewwcO7u64W+u50qvPFWTCl4mH2/LwEf/XISX246z0t+hMaa8/C/i49Q65s92HVROF2/A8KpP2EPax++coYjcc7F8lyBTj2LM5sDmFevXqFJkyZYvny5yTRdu3bF48eP9X9//fWXwfS+ffviypUriIqKwq5du3DkyBF8/vnn+ukKhQJdunRB1apVERcXh++//x4zZszAL7/8Ymt2BYfrruJd3burQimswbyKAnt6R81175npHo8LCt94zu7lmOSCgHbH+Yf6kdS5fP1XFJgrrc0dbNGeXo4d2a1yZGOrbAZwuHg+dJZDOq7IB2KFdIlT5j943RmnzNdefJbw2VyJt1u3bujWrZvZNHK5HAEBAUanXbt2DXv37sWZM2fQsmVLAMBPP/2E7t27Y+HChahYsSI2bNiA7OxsrFmzBjKZDA0aNEB8fDx+/PFHg0CHD0J4dsjfKuVFphpqDjqGK+5SX6pQje9MEKPGbI7nOws5BFT6yDA5dZxqfL3bpt8VrBflDH3ER9FKdAM4NAd4c5LTl+dK1vRp9L74CGSMFt3FpwEnPO9l2/EaNSH5Jd6oWY6T5ZfHC0jBT92/gpxSByYmJgZ+fn6oW7cuhg8fjmfP8t4RxsbGwtfXVx+8AEBISAhEIhFOnTqlT9OxY0fIZDJ9mtDQUCQkJODFC+PFZyqVCgqFwuDPGYQ42N4LM0153VnBTe3MukH/93Ns3nK4qgNjx2+EvC8Lro+pYQSczRsZeEd0FhIORg0vxMwhZm9z9ttPuBsZPr/9dpRGvVQ5YZsV4JT9wrPcY/96Mr9N/FnWvqPw2/+u2txi1dj1qx5zD2c8wuHHpNmRC+5xHsB07doVv//+O6Kjo/Hdd9/h8OHD6NatG7TanItdcnIy/Pz8DH4jkUhQpkwZJCcn69P4+/sbpMn9nJumoHnz5sHHx0f/FxgYyPWqcYKLW2PB97BiAQZV5rhZdl3KWN0VoXr+ip9ga7NsNn6V/YhRku28LN9WnX847JT5pmcJM9jVQqz///A/HWuhUwHP4Anre2Ympu29nOxwFYDe4mOFvnOrSryWfPTRR+jZsycaNWqE3r17Y9euXThz5gxiYmK4XpSBiIgIpKen6//u37dtsEBiHS4OVqoIzA0hBILO6GSPZc0H+vVEOZWee4pOcL5sQbwjtpLIiQeAI+eoJl8As+dy4QdOSyWcE7bm9BpejXmMWI9ROC7/0v7MEL0/Tt7D0wxhBr32cnoz6ho1aqBcuXK4desWACAgIACpqakGaTQaDZ4/f66vNxMQEICUFMPi0dzPpurWyOVyeHt7G/wJzYlbT6Fx9B10Ebj7W3vTc3RV+b7BW1p+PeYefpCuRCU8cU2GiFksy2KvkRsuV7g+HF31Ovvz38/alF7Dii0nMiN3SJM3RTlDSpRhnPMKzlmcvVf4enUrRE4PYB48eIBnz56hQoUKAIDg4GCkpaUhLi6vaPHgwYPQ6XRo06aNPs2RI0egVucVd0VFRaFu3booXbq0s7PsNJ+sPuWU+TozpLln40B8+d01MoquTsfig1WxRlIXP3vkEegjPorlMue0ViC2ib6WaraDQCGNeO3K55hTiba1ktNQ92LERWw+0jIyMhAfH4/4+HgAQGJiIuLj45GUlISMjAxMnDgRJ0+exN27dxEdHY1evXqhVq1aCA0NBQDUq1cPXbt2xdChQ3H69GkcP34cI0eOxEcffYSKFSsCAD755BPIZDIMHjwYV65cwebNm7FkyRKMGzeOuzW3E99P9YBrx8Z5lG7/++cMIxUGH7zIwkulfZX8hFiBmgt1GMuDaAoVF50SFponT7uZ+tfgRv46MKTo4/OybHMAc/bsWTRr1gzNmjUDAIwbNw7NmjXDtGnTIBaLcfHiRfTs2RN16tTB4MGD0aJFCxw9ehRyuVw/jw0bNiAoKAidO3dG9+7d0b59e4M+Xnx8fLB//34kJiaiRYsWGD9+PKZNm8Z7E2rANTurCLwlMmrNsUSbgi9Ht7Wp7eiOgyMKlbO2Je0h96WzENTSvnUP7vC8aHM/MJ06dTLbnHXfvn0W51GmTBls3LjRbJrGjRvj6NGjtmZPoFhIoIWmmI+dOXPXVXSu52c5oQlCGWJhwNrTVqXjqnRiw6l7CGtcwcj8izd37tHVUbefZCAooBTf2SDFjLFzjs/LcvG+o3JgafRNi2l+li5CsOgK2quWQoEShaYL5L5slZup/PaDIAQxCXmVbn+PvYeW1co4dXknbj9zWl8iJI9S7T4dQv52LBE1yxe+lhD+MU4sY+L7Nboz180eVNvKQT9GWR5UMFR8Ft5MFrqKrXtyFzJHBy6buPWi3b+9lSrMm/iXfzl/fJ4XPPW5ImQ1RMkoCeuHUrDkaYaKs3kZw/Wl//YT541tVTd+LqZK/nDa/K0hrFulMAilFFooKICxkTMqLRYnp+/aP+6Pws7KvwW5ah86+2HpUELRbH6dodJYvYdGSHY6NS/FkS9e4u20vzFYsgc+4P6hwdpXf3SlJZZQACNAZitGMgwFUTyy5VWOsVZY9nLWc5ej42g544HQllZqvk64wRZ3EuQdE2K4z2s1ZyqO5R7ucJ+hAMZGrngFmZ5pvrtnakVjHWfsK1u6hV97/C6ny3ZGsGBLQHbMxrFU3I2zz6qCh2Nl5gnkcOzVoBhaFM/bq3AJ/7bPLbdqRl3cObKvrP3tjP+u2jRfob4WtTdfsbdz6tkUlx4nC24mV77nVmusX9aAtWecmBN7OXdbeUKJAeK9qMw49rqOZVm8yPdgEsQk4Zh8NA7J7e/bSo5snJCPwu/S+Q7lrahqzNyGH9yrbx9fvMQEyWZUZx7znRWjhNYKiQIYAXCH9vauFH8/DYB9w8YXBflHxnY2Xy+py5bljqZINmCG9Hcck492aD7jX4/vkytUlBMMVmTsrxPWTnQZ/kwaOoovOZQ3V3NF8/cgJgk75VNx2iPc6cvi0gLpLxgp+Re7ZRF8ZwVzdl/jOwsWUQBDBGffFeeNR2MNV/cvUnBpZ+66z1Mj36V/zt5TfSXRnMxn2znue1uuyqRYTuTGHDm0Wogstw4VomainG45PBlhtjqkZtTFmLB2vfPZW7KUWwJD8vAdKBRVFfAMI8XbUQYKvrNis/JMOt9ZKDZsuZTRqeo6FMAUAeYGoCMkv3/jH+LH/QnUn8Rrf8lmY4J0K5ZKfzI6/Y4uwMU5sp7QnoZJDqoR4DrUE6+NbOkJsRQy0Ud8JO+3HCw/IVlRqMfQtvO4Kebm2isOmxFzyR1bcXEVcIzeFA8AaF+7PFpXd24Pwo44ece6uiGO3sSriXJew7QXX8FmI9M1ThqYkGG4PQZbMdeRCTmusNU5nS+fHLleFtVhJmZHuqZeyvbzD1yyHEdRAGMjW06L76S/oDvHve+6U3fnH/5y0u7fvrfiuMPL1zjYx4m7CWRSMFqyHT9r3sVNtrLZtM8F3rNvltr1LdCS07NcvkwA8IAKSsgtJzRjq3wmAKCa0vwYc9bIH1pRKU/xNHbzBaPfCy0wpFdITvSOKM6qdBeozkch55PSHJ6HvT3VCu0kBYDP1pzGGQu9GK+RLsT/xEewTTbd6vnmNlkn3FeeLg2FVf287JdN4nS5fBPe2UO4UJl5gvJMGt/ZMEAlME4kZax7ivSUOaeYmrgHa55xszU67L9qvtVJbVFOS5dSjHUlCelZakz6x/6xqYRAqDfL8kjDGY8ReML6oJVqpdm0VUT2BdpCXXeuUNmPbTyhRBY8nDJvb7xyuCsBZ6ASGAHwlDovgGnBJGC5dDEqgJ60SZ7fjt2BIst8j8/EfsGiKwD4aCnEQsRz9/+mAg85shGAZy4p4eQz+OHjtVtb0VVc8xiEKU4agDPQwY4cnYUCmCLuH/m3CBOfxo9S80+B5oihxY/SFfhYLMzKwsR29rwuCcAzqC7tBJPvBumOFaKFgJtbeOFtf1PeD3c8PkUbRnidkEXJJuKkxyjUYe7znZUi5yvJXwCAIZI9POfEtSiA4cA7orP4VzYFNZhHfGfFJEe6Qg8TncT74mOYJ/2NwxwRvt2yYRwkADjpMQryfz5DL9EJJ+XIds5+2rWltGC0+B98K1lrdJoUhi3yQqysH2er3NfWm+WznDJ/R+S+KmsvvuK0ZVRmUnFUNhr9xfudtgxiiM+HGApgbJRmpNj9V9mPaCK6g0XSFTzkyPl8mFd8Z4FT95+bryNSXMoUNp++D3vWtp3osv7/JzisBCyCDnc9PsFdj084m6ejbAmQxkr/QX9JFGoyhr3u9hUfwE2PfnhHdFb/XSCT6tK8FRdTJBsQKHqCIJF7lvIU9XpNXKMAxkbmmp96o2jd6Ilr8HXRGpg8G3tlXxUqHbDFSyV3ff0MFO/lbF58kkFjEFzMka4BAKyQLuErS8WGxIFjmTtFMbA0vU4Mj2EXBTAuZOqJiQZzLF4Y6OAJJW/Ll0GNf2TT0ebVQQSJ7usrnFrLWcfrE9bHOTN2gLMqnBblU74orxsRFmpGLQBC79VdiP2iOJOz13aTbDbaiK47eSmmvSOKQ4vXg8YJSTIr3J6BuSbk1z/Vmce8LbskMjFJshk7tcF2/b64XatcR5jblUpgXMjUybX/agoSn/Lz+ukTcTQWS5dBDNf3fFpcFQxeHLmViaBDG+YaSsB0vR5/PIcP8irsclXM3l10Ettl0xyqID7qr/MO5UGIgYCr8uSMW4o3XuHv17368mGCZAv6SaJ4zYMrMNAhXLwDbUVXOZqj8M4DV6AAhkOORP+f/37WciInmCv9Db3FJ9BDFKv/TgQdeohOoCKe8pInvrnTpWCgeA82y2dhg2yu0ek+yMApj5G44PE5Z8vMvUGvkC1FM9EtzJHY3zrtvwvCabm3QzYF/rBuDCZLhPm8alkFxvFK2Y6cPzV4LP1xpZ6iE5go3YJNstl8Z8VKpvcqtUIiePCCn3FYcpViMvX//0h8CD/JluGEx5c85ohY44PXg4U2Fd02Or1WgRYxzpD/2HEE3zf9pqI7+Ea6gZN5WSqFEULJkR9eGPTpUzQ4dhT9Kl2I0/IRhb5vKLqLhdJVDs07v2qM+V61c/njuSD79BEKCmBcSAgXLWu0E11y+TIbMHdRj7nn8uUWR0WpnoCxCsVviC6jtZ0XfS+eKlcHMUk2/8aR60kX0Rmc9gjHYhd1/WBtT+D5j00+jtN3xOfgx6Th3Xwl0rn+9/phwZVOeYzEZvkstGL4qzMnZBTA8Izvbr+FwBNKRMq/xh55hENNes0ZJd6GSZJNTpm3tcojzWkdmDlqiDgS+2UTURau7vo+D8M4HuCXhgIbZXOxRT4L30rWOly3y1U30fZ2PDQ4EsCES/4FAPQSu6ZTQinjmubNXJUo8VmR2ZjWPFb6zyHMhx4KYHgwXLwTv0vnYa5kNe54fIpQ0RlOm6a2Yq6jAXPX7t8XvGiXhcLBHJnnjbxXEB5WjN5rKyk0GC/9GyMkOzmr42CPg/LxWC37gbflm8KCwRTpBtQRPcQoyXarfpGfkC5t+etQ9JdE4f/EMXbNRwINRom32dUh2mjJNshcdMMuavJfe2wN0CTQIETsWKVwW8iRbdVo40Udn/3AUDNqHkyWGpYE/CxbhPq6zUbTNmZuI5X1RTLKWjXv8kjD1tc1+KspNzqW0dfGSv/hZD58yV/KJWPUFmsZOuup29pRovkk47EjMJa1fbsXvMlpYTgwqq2VUn2ZV/hbNgMaiNFWZN9rqFDxWVS1so5DUWRsL7ri5XlDmx/aWJgKvy1dA8TQ4op8EACgrmp9oeOu6BFm9QcqgXEhW2+MtZkH2CmfipMeo6z+jb2tCAzzJpxn6rGSvzFYHOnAHIR54rmK7cGY67dXZnZO0MTFKyRHtRTdQEvRDbuDl1y1mQcc5cg04Zyl7udN0QWckY/Am6ILRqfrLGxdH7yChNFBwujgU6AHdmv2i63npZDrT1IrpGLC1oOwqeiWk3LiHiozTzBasg1TpRvserddnXmMM/IRGCze7YTcuTPHbn0Ff+3o5av+tH0OzsH9UPDBr/Wy71CeScd62XcmUghrD/kzto8eXxxQAMMhrl89aFnX7Z78wZVQYv3875ft2bLTJb+jPJOOSdItDs2n6DE3rgl/7HvKtNRcmR9CP86c+URvbM72XBudVUpRHu4XDHwmOYBPxVF8Z0NwKIARiMxsbnrCLUpNZB1lrIWXkIti+eLoNrHniPPHc3QRnSmC/ZDkEAngdRgXXH01ccVWOyIfazGNpVdIfJgtXevU+YeKTtvd/QBfqBKvgPF1Crl7ENRLdAwTpVvsbiHg7utvmaOvkBy/zRyRj4Gc0WCi+nNs1XZyIC8FPxvmTUhhRP68FcynPdvUGcG48458559T1p63nozl64It1wAu9iXfApkU/CxbDIC7xh+uYHMJzJEjR9CjRw9UrFgRDMNgx44dBtNZlsW0adNQoUIFeHp6IiQkBDdvGg4c9/z5c/Tt2xfe3t7w9fXF4MGDkZGRYZDm4sWL6NChAzw8PBAYGIgFCxbYvnbEarknbGXmCRozdzib7/+JDyFCsgGuvJUska1AZeYpyjPObf5dVDjSdNVe8tfNjDtw3Gmiu9w8TurqOTwPR9ZVqEG6UPJlast+Lv7P7HRH58+XADd8rQbYEcC8evUKTZo0wfLly41OX7BgAZYuXYpVq1bh1KlTKFGiBEJDQ6FU5vVw2bdvX1y5cgVRUVHYtWsXjhw5gs8/zxurRaFQoEuXLqhatSri4uLw/fffY8aMGfjll1/sWMXixdET45h8NKqJuGsCukD6K76QRKK1HT1JOucJ0zWXjg6ii+gjcn3PncWNpb0pjNthYed0tV24NBYBeAZX3TaNNqO2Y9G2nquOnNuNmduoweSNy2UqkPpa+pfdyxAyoQVU1rL5FVK3bt3QrVs3o9NYlsXixYsxZcoU9OrVCwDw+++/w9/fHzt27MBHH32Ea9euYe/evThz5gxatmwJAPjpp5/QvXt3LFy4EBUrVsSGDRuQnZ2NNWvWQCaToUGDBoiPj8ePP/5oEOgUdUJoVsoVH+YVwAJ3PT4BANRU/qHvO8Fdnppt8YdsPgAgXlUTt9lKPOfGkLmtbc0Nn4/9VR5p+FB8CJsLvG4SaoDiDGJoMVfyG07pgrBN19Hq340U78AE6VZ8r/4/LNf2LjTdH8+RgjIW5+MFJTLhYUuWbeasEhgJNCiHdJRgCg8VUQ7p2Cmf6pJ85OJ67sXpPMiP00q8iYmJSE5ORkhIiP47Hx8ftGnTBrGxOWNLxMbGwtfXVx+8AEBISAhEIhFOnTqlT9OxY0fIZDJ9mtDQUCQkJODFC+NFXSqVCgqFwuCPuAqLhdJVmC5Zb/UvwsX/mphTHmeclK4+0f2YNBcv0TJXbAMvKPGpOAp+Foqmrb1R/Cr7AROkW7FOZv5Vsrk6MKWQiSbMLTjyvFkGCiyXLkZHE/2HOFNv0XF8KInBjzLrBxVkoMME6VYAwESD1nh52+CUx0iLPXe/IbqMqx6D8I3kTwBAZSYVEg46PQzAM3hAZXSarUGEufRbZTNx0mMUouUTC01rKCr8ytyWI8TV1xQpNAgVnYEPMiwntpJQXt3ZitMAJjk5GQDg7+9v8L2/v79+WnJyMvz8/AymSyQSlClTxiCNsXnkX0ZB8+bNg4+Pj/4vMDDQ8RVyQ3wciIFMKv4nPoKBkn1Wj+2UjhJGvxfCaeTq8gV3vXiYM1XyB2ZL1+Jv2QyD7+296eWOtt1AZP+An/vkk/CvfBrecWA8qinSPxEmPo3fTfYfYh179nhp5mWBeVg+UodY2QdSD3HhwQvz+0aSM0r3UMludBRdwDH5GGyUzTGa1pZm1Cc9RlnVKsga5rZHMzN9atXK9+oo/9zMMXfOOruEcpRkG36WLcIW2UzO5umu16Ai04w6IiIC6enp+r/7920fw8TZXPlO15WkVgyYZ+7J2JUnj6u3qTOWN0QciR+kK+1ugmz+FZLl/Fqzt0LE5wAAVURP9N99II7BLY9+CBWdtnvZtv7GH2ko93qAyopMzjhY3cTGl2+NCibG0uoiOmP3PJ3pU/EBzuf5ifggAKC1KIGT+fFdSqk1chu0dE1y9Lx25Nc9Xo+UXVfk/N6ehY7TACYgIAAAkJJiWAk0JSVFPy0gIACpqakG0zUaDZ4/f26Qxtg88i+jILlcDm9vb4M/wj1LN83cE9sbr7BDNrXA1LzTVmfFoecuAZyrTZFuQB/xUbwhusJ3VmzyvTSnEn5uc01X+FASg7Mewzkb9d1UvbRfZIscm68Vx3rBFNwG/saXb7w0xZ65W5dXPs54tZGqoLbkw5q0n4qj8IE4xoa5csH6taASGADVq1dHQEAAoqOj9d8pFAqcOnUKwcHBAIDg4GCkpaUhLi6vGPfgwYPQ6XRo06aNPs2RI0egVqv1aaKiolC3bl2ULl2ayywLSnPmBqJkE9Heoaalzj0Q+4iPFvrO2ME/RBKpL/bngrsGM87MN1cjd/PRjNoYLpZtah5cjBrcSeS6kY6tYV3QY/1ghZ4oXMH17dejO+dPLdSbnb35es6WcmhellKWQzpmS9fie+kvkEFtNq2950DBX1VmUnFaHo7h4p0W8/Z/4kPwsNA3jlCvvzYHMBkZGYiPj0d8fDyAnIq78fHxSEpKAsMwGDNmDGbPno2dO3fi0qVL6NevHypWrIjevXsDAOrVq4euXbti6NChOH36NI4fP46RI0fio48+QsWKFQEAn3zyCWQyGQYPHowrV65g8+bNWLJkCcaNG8fZivPB0kmxQTYXtUUP8adsHmdLtMVkieUmgq0Y88XGuQe6p5EbRv6TwBMqRMoiMFay1eK8uGTvPJszN7BcuhiV8MRyYhvZf9Ey/KXOjtGcC6omSsYo8TaUQqbJNFx23OXoHi6cF1PpHF/mOtn3dv4yh4QxXQrk6qCg4HYbJtmFax6DUI8xrGOUW2pm27ztZ2o7dLZQb6kxcxsNRYl2LTOZLdwCy9L+MDX9U3EUxkv/Nvguf74sBTDWsOZY+UryF/yYNEyWbjKb7qzHcCyQ/oqprytnA8AXr/u6cQc2BzBnz55Fs2bN0KxZMwDAuHHj0KxZM0ybNg0AMGnSJIwaNQqff/45WrVqhYyMDOzduxceHnnN7zZs2ICgoCB07twZ3bt3R/v27Q36ePHx8cH+/fuRmJiIFi1aYPz48Zg2bZogm1Abe2qxe175ouBT8hGQ23GwO3JDGC6xfOAau1lZs8yCp9wH4sNoILqH0ZLt1mWOZ9vkMxAmPo0lMuP9H5nizNtSEJPE+TxbiW5gvPRvTJP8zvm8XcHZT4qOjlIdJjqJZdIl8DLSnFcEHUJFZ4yO1SOGFgWPphrMY4vLs3VrLJKtNPq9o2OlObpXfpP9YHJaCWRhp3wqp13t25LfD8WH9P83lofSyKt8LXLS8VnwOmPNcvL3e1M/X+X4CCN93Qi11M3mfmA6deoE1kyvRAzDYObMmZg503QN6TJlymDjRvPdFTdu3BhHjxZ+XcG3iniK5bKlWKPpiv90b9h00thycfVn0vSV5XKJoMNUyR84q6uLSF1bi/PIf+I4k7FD29i6Mib+b4oQT5oqTKrlRAU0YO46ZWTxKkyqwRbicvyd1qLrYKADa8UzjvH95FheuotOopf4BCaoh+ElvByaV0H1C5QyuNJy2VKT0z4TR+Fb6Xqks15oolqt/74y8wQHZBPgweQ90HhAhY5iy6+auTuH8gcwrmn7MUu6zqp0vhaaE7ewUGpsjC3bbaJ0i9H+dXLJmLyWd7nzNTb/1sw1lGVcc80GgN+kjpUoCkGRaYXkKjOla9FMdAs/yZYBMF4nhCsFS3e6i05hoGSf2Ytgfoc5ap6YnyNPuPl/m3+wNFPztG1Z3N2824iuY5Jkk9F6E+aXYixoYxEp/xpzpGusXr4YWpSB5X6MzF1kG5kZDqLg74xt56qiVOyRRcDZ1SpNrcMK2VKEis8iXLLD7O/tuT3XEwmvhSIAdBbltNzyYQxf3w0T7zQIXgCgjIseTgBgo3S2wTZzZiVea0igeV36aF1O/pF/a/MybB8JW1fo9VuuZ2xegxKNmVvuFvksm5ZpPj+Wt011G3pcLzJ1YIo773wXl9xeZXPVFD3GH9K5qOuEon0AKG9Fc8P3xMf0//dmssykNDwgHSl+tbbfB8Ni6LzppZmMfN/b7lfpQuyQTYUfXlistGbNidhUdBsjJDsxzMi7YFMXNk8ocUg2DnMlq41Ot8U/suk45zEMtRnzzSQL5iV/HZj/5FPAQIcAxnizX2sEie7DD2mFvje3Dd8Snccf0rl2jUNlbMuWtSKQszQPAE4pAeNSIzP1N4y12LP2hlLwGKmAZ7ZlDMAb4qtm51l4mc5RAjnXs+XSpdgr/woDxPsAACIzdYusYfy1OANza1JwG0yWbMYeeYRD+bBGJ9F5g3uQI7ioMwfYN0wEVyiAsZGlC0cH8WXsk39l83yN9SNhz+E1VGK846r8zT8D8Axn5CMwTrLFaFpH9BDF4kvxNiPbyfCUz/8pQmL8daK16/+O+Byaiu7ghHyUxUprtmzTWqKHVqd9V3wS1UUp+ERy0HLiAgpeDJu+7hm0l/i4xd+ZOxp/kv6EFVaU1pm7Ia030mFbD/FJg8/5OwlbK/seHcSXDabn3njswVjYYdbeyDfK5tqdB1foKY41+UrI2Br+YENvvPltkjn+lG9r6YQYWoSJT1mZ2vS824pyAqlQ8VkAwJDX17pB4r025cdav0pN17spaJiZ+oNcll6sk32PcnY8HMigxjbZtNcD6+YQZpmKbSiAEQhb+5FYIV2MYDv7ARkl2YHyTDq+tFA8b638F7RFspUYJ/0bLUU3CqUzVQJTiXmq//9QyW58Ko6yKx/mWnnYw/STmXVpzX1v7/Lz01m4kbxr9U3DtHoix0sTr3gMRlPGNSUgrhw/jIEOJc201nJUXSYJq6SLUJspHEhbW5m4psiwom9Vke11uArKv4VLIAujxf+YLS2cJNmEadI/HF6ud4FtXZl5iprMQwyU7HNovqbOs3ded8YoZKZeWxW8MnQVnUZz0S18IYnUf2cuEP1UHIXy+UpfzfY8zGNVRQpgbGTt04exA2ue9Debxgsq3Htt3rK7i0/jLxNdeRvD5isutLcHV8D6g9VY0b+pOjD5jZZsw2zpWqu6nPfFSzjzOcJYTX5TS8u/NmIreibmgg4MJ82Daxm5QXJtpBWtzZzZD4wzbJLNxmWPIahsR8Vua2yVfYuu4jOFXuHwrbf4hP7/y6RLMVb6D6Lkk/TfFTyz8980LTG39yoyz9CcMXwwWiVdbPW8bWHp4cAWIhMPblzIfW3VpMB4TgXPA2O9pZvLy2zpWvyZr9QyiBFmvTEKYGxk7QXS1PtQW54WrFlWL9Exq5pyB4q4778kl9H6LhaehC2tmRdUZjv0+0y8H/EeX2BKvv4LrMGARR3mvkETQnNpC7LmArRXlvcK0ZHLlaXfcnUxnCF1vMn0QukqVGFMVwo01azT0XWQQYPdsgjMl9jeX4mj2oiuAwCOycc4Zf7m67DZrwGTiMZ29plS0Ftibga1lEJj8cFqonQLtslnGHxX24bXvKY4vwDBuUG1pQr/bUVXjdYBs5Sr/EMV2PvK0tlsbkZNhGWJbAV2aN/AGPVIlyzvf+Ij+EfbAbG6BmbTVc73WggofJHIf+OqzBQOrpZJlxrUCWDAogwUWCf7Do/YcugqzqkzNESyx6b8l0SW/iJYQ/mn2SEN7O2zIf9FlYsSAT+8QCp8MUK8E7fZCvrvLdWBMcWeoMFSB1z/Ex9BM+amyeliCzenUNEZrDTyNG1pDXOPg/qie/hK87lgW0sISaT8G6fO354BO8/LP8d1torRXnGdrZqo8ADB86S/cTZ/ZwdI5zyGmZ2+STbb4LMfXlg8H90FBTBuwgMqkxfn3uITVgUwIujQiLkDGePYK46/ZHNQTWm+Hx9jTL1CkjOFL3jGKjR+KdmGxqJENIb9T4/j8vX8K4UG9Zl7uMxWNzoeivFXSLZdjlq9fkq3pIPoIoaLd+IrzVD9d55Q4V1RLJbJfsJ9XflCpWg6iAzyKLZQ6jVW8jfK4wVOWgg+C9ol+xoNRXctpitY3yK/N8UXjX7f5nVdjp8dHEsoFwUwrhWrrY/gAq+4RuWrW2ftGFQlGSVaMjewX9uCy+xZxZldYTRmDIdTEcLxedojnNP58dkKiQIYAct/q7zuMdDh+Y2W/OOUnm/biy5bTLNKthhDssfrP1szmGNBXIz9016cV/F5hXQJOr8e68VYQFaDeYQKeIbHKFto2gDxXrwtOo9lmt4YKNmLxHwlI/mFS8w36wZyLt5/yOYDAJYweT39DpTsw0DkvHI09gpwsI2lT6Ml2wAAn+CQhZSGrAle7FWJMd+s14vDnq4J9/J37dCMuYnPJbtQS5T3ena3zLamxXx0Xulo78rmdBafx21d3rWhmegW+ov34wVb0uJvHenlnatAqTlzAz3z1XkSGgpgBIzrFhXG+jXhwlwri1tXm+kO3BI51Ag08qrJEbnBiyk1RY8R6zHKaHCTW2/Emt5QbVEO6ZzOz1m4GNPFGt3EZ+CtNt/Taq5WzHWUoIDHpfIHK9vl0wtND7Kx00B7xzNyJQk0VocHLHLqh+Uy1ZzfWIvSax6D7Mhdzry6iM2PHWWtgnWOhIYCmCLEkdZFphTsrI8rzW3sWOxf2VSDiyVfKjNP8a9sitPm78zK1ly64dHfZcsKFlnXCmer3PTwJcY0NNNbMeGHpRI5IWjM3EES6291emte2X8str3/KFNsaZ3KBT6bUVMAU4R8ID7MdxacxtnBi7FhA3KFFuhksGCTReJcP8sWO2W+u+TOC0QdNVS8y+F5TJU43vcKKcyWUgnWit5uh4p3oac41oEcFV/UjFrACrbksaSHyHUnQW5fJwUrqbmrBVLTzXC5qmBKiLW+kdpeSb4gW+tIEe6Nlf5jMQ0X+5pPNJQAcdgQcaTFZr/GWvvYa4H0Z9RgHmGnfCpn8+RTLwFXVCOEEFIYvUIqIqZIN1hOxKE+4mPok2/gSELcidSOvkoIIcJCJTA24rG+EiFF0nrpfJcvc4YNQ3oQQoSJAhhCCK9MdXLnTH0l0S5fJiGEWxTA2Ij/fhQJIYQQYaDRqN0IvUIihBBCclArJEIIIYQQG1AAQwghhBC3QwGMjYrKMOSEEEKIO6MAxkbNbBzDhxBCCCHcowCGEEIIIW6HAhhCCCGE2MVXkcDbsimAIYQQQohdWl+dw9uyKYAhhBBCiF18X97kbdkUwBBCCCHELgyP/dNTAEMIIYQQu7A8dsVLAQwhhBBC7KLR8tc3GgUwhBBCCLELn527UgBDCCGEELuIRfwNcUwBDCGEEELsw1AAQwghhBC3U4QCmBkzZoBhGIO/oKAg/XSlUonw8HCULVsWJUuWRJ8+fZCSkmIwj6SkJISFhcHLywt+fn6YOHEiNBoN11klhBBCiAP4a4MESJwx0wYNGuDAgQN5C5HkLWbs2LGIjIzE1q1b4ePjg5EjR+L999/H8ePHAQBarRZhYWEICAjAiRMn8PjxY/Tr1w9SqRRz5851RnYJIYQQYg8eXyE5JYCRSCQICAgo9H16ejp+++03bNy4EW+//TYAYO3atahXrx5OnjyJtm3bYv/+/bh69SoOHDgAf39/NG3aFLNmzcLkyZMxY8YMyGQyZ2SZEEIIIW7EKXVgbt68iYoVK6JGjRro27cvkpKSAABxcXFQq9UICQnRpw0KCkKVKlUQGxsLAIiNjUWjRo3g7++vTxMaGgqFQoErV66YXKZKpYJCoTD4I4QQQojzSLVZvC2b8wCmTZs2WLduHfbu3YuVK1ciMTERHTp0wMuXL5GcnAyZTAZfX1+D3/j7+yM5ORkAkJycbBC85E7PnWbKvHnz4OPjo/8LDAzkdsUIIYQQIhicv0Lq1q2b/v+NGzdGmzZtULVqVWzZsgWenp5cL04vIiIC48aN039WKBQUxBBCCCFO9MCnBSrztGynN6P29fVFnTp1cOvWLQQEBCA7OxtpaWkGaVJSUvR1ZgICAgq1Ssr9bKxeTS65XA5vb2+DP0IIIYQ4T7akJG/LdnoAk5GRgdu3b6NChQpo0aIFpFIpoqOj9dMTEhKQlJSE4OBgAEBwcDAuXbqE1NRUfZqoqCh4e3ujfv36zs4uIYQQQqzE6Pjr4oTzV0gTJkxAjx49ULVqVTx69AjTp0+HWCzGxx9/DB8fHwwePBjjxo1DmTJl4O3tjVGjRiE4OBht27YFAHTp0gX169fHZ599hgULFiA5ORlTpkxBeHg45HI519klhBBCiJ10DH/94XIewDx48AAff/wxnj17hvLly6N9+/Y4efIkypcvDwBYtGgRRCIR+vTpA5VKhdDQUKxYsUL/e7FYjF27dmH48OEIDg5GiRIl0L9/f8ycOZPrrBJCCCHEAT7Kh7wtm2FZls+O9JxGoVDAx8cH6enp3NaHmeHD3bwIIYQQN3a3ZFNUm3CY03lae/+msZAIIYQQYpcVml68LZsCGBtlsB58Z4EQQggRBLVzOvS3CgUwNuqX/RVu6yrwnQ1CCCGEdw9F/N0PKYCx0Tm2Djpn/4Ap6oEG309Qf4Ft2vY4oS3c1DtK2wKjskcW+r6FciXqKdfgns7PafnlwxVdVU7m85bqh0LftVX+hEXqPmZ/t1jzvv7/WzUdOckLANRVrkNsvv1bTbkRb6sW6j9rWBF6qmbhfdUMXNZVK/T7nzS9OcsLAPyrfcOqdEteb4/J6qGI09UuND2bFRf67pi2gcX5fpkdbtXyASCLtX0Ms0+yv7Yp/bLXRdm5paRJuvKoptxo83Id0VtlX2OD8OwvoWCd19Gnq81Vf8zZvHRszmCB09T9OZsnAKzRdEU661Xo+/nqj/T/36Vty8myvjRy/efCiOwvnTJfazxiy6C3aiaeisrzlgcKYOz0p/YdXNPl9fT7t/ZNjFOPwCfqKairXIdqyg2optyIasqNGKoej5usYV+F76tm4Bl8kAUP/KV9W/99N9U8/J9qKpLZ0vrvNmg6G81DhHqw/v+DsicYTEtjSwAAjmgboY1ymf6ivkbTFV1V802u11z1x3hXNRs7tG+gg2oRxmUP009bo+mK91Uz9J9rKP/ETPVnmKweilrK3xGlbY7p6v4Iy56Lb9SDDOY7Nns4/tG2RzvlEvTNjsBU9QAc1TZEfeUaVFNuwCT1UIP0vVQzkchWwA/q/+nXo51yCZJRFuu1XaBkpQbp43U10VG1CO+qZutv2AAwTTMA76pmY5WmB1ooV+K0ri4WqftYfBU4Xd0f1ZQbsU/bUv+dCjJoYTjy6h22IporV6GW8nfUUv2Ji2xNnGPr4N3suYjX1dCn+1b9GRZr+hgNIADg/1RTzeYHAGaqP8MvmjD959HqkfqL+6DsCairXIcOqkXoqZqFierPAQBfZI/BIs3/UFe5Dpu1b+H/sqdhjaYrgJxA844uAM1Uv6CacgN+0YThiLYRBmVPwDD1WIv52alrh2rKjWii/EX/XZBybaF1XKV5F/VU63BRVx1Azr6sptyAusp16J892eT8T+gaorly1etjZCNqK39HS+VKtFctNloKulDzIaopN6KRajU+yf4a72bPAQCo8wVoA7InYoH6/3BbVwHfqAehi+o7g3lUV/6J7qq5+DPfOfeYLYMayj/RQrkSrZTL8YQ1XqnwCeuDeLYWmitX4QnrjUPaJibXLffaMEPdD6OzRyBS1xaNVb/hD00IorQtDNL2sjEoymbFWKrpjZu6Sripq1Ro+hLNe/r//6dti9nqvlij6YoNms7Ypm2PLFaGnzVh+mtYU+XP+vRfZI8pNL+7On/0Vs1EF9V3eEe1ANWUG/GLtgeClGsxVT3A7Daw5pV8PdVaVFNuxO/aUAwzsvxcuQ+C53S1kKjz158b+c1S99X/f6Hm/9BGtRxT1AOxWdMJAPCrpjtWaXu+3j8bMFL9JdqrFgMAtmnbo6dqltFlP2DL6f/fTrkEH6im6b87qG2Knbo3sNTMA4yp88Dcw+Cbqh+xW9cWNZV/FJo2T/0xruiqGuxrAHjIltX/f0z2iEK/S2NLYGT2KPym6YYgZc52b6VcDm2BbdlQuRpvqJYhnq1lMn+uQK2QbFTtq8i8/zOPMVXyJ5ZreuEcW8fs78TQ4qBsPLIgxzD1GNxlDS/AQ8SROKFrgKtsNQBAaSgwWbIJm7Vv4TxbG9WYx4iRjzf4zZuqH6FgvVCLeYQzbF3c9ehrMO1DcQx+03TDM/gAyN3NDABWn/bL7HAslS0HkBOgzNT0M1iGCDpMlfyB07og7NG1gQg6nJd/jvusH97Nnmt2nb+S/IVhkv/QL3syjuhMX8wB4ANxDL6X5twIx2UPwzZdbskJizrMA9xiK0GXL96WQoO3ROfRXnQZSzXv4zlKGUwvi3SIoUMqSsMYObKR4DEAO7XB6CmO1X//gi2J0kwG3lL9gES2AvzxHHOkv2G9NhRHdY3xh3QuOogvA4DFp/s6zH2skX2PJZr3sVXbCQBQm3mAtbIFuKKrBhWkCBGdQ7SuGUapc56k7np8AgB4VzUbvcQnMFSyG0BOALRW2w2eUGKEZCf2alvhClsdpZAJH+YVHrCFn4Kk0FjxfpoFUPhCDwD/E+e0LLimq4JV0sUYox6BVqIEfCXdhM2aTpis+VyfthQyoYIU2ZACYFECSpRlFEhi88Y1K4d09BSfwD/aDkhHXu+dw8U7MVm6CdPU/TFTuh4AEKz8CY+Rd7E1lu/ySMN86Wo0FCXiK/VQHNI1M5pSjmxMlfyBtdquuM0WvqH/KZ2D9uKcgWJz96kIOnQVncZzeOOCrgaykHejrcPcx1eSv3BE1xhTJX/gsK4JyjIKfK0egiuvz9/c7VoO6TjrMRwAsFnTCR9KYgyWY0qUbCJqix7mS8uio+gifpcZBly/aMKghQjndbWgQAkMFUdiumaAwfEQLRuPmqLH+s/VlBsRxCThDlvh9f6yrA1zDUpIcYGthWbMTWyXTwcAzFb3xWptd5g6hoCcYz5KPgkAMCx7DFbJFuvzMVgcianSDQbb5qi2of4cq6tcBxUMS+9yzxEAGJ09AktkK17PbwPK4CWewxsACznUSPAYAACYpB6KVNYXMbpmkCMbUmiQAcPSF3PnS/5pMqgxTfI7DuqaQQ41vpDswij1SNxn/Qy2gz+eI0x8Clu1b+IlvDBRsgnhkp0AckrqdsinAQBSWV+0Vq3AG6LL2CjLuabe15VHoOgJwlRzECn/Rj/PN5RLccLjS/1vCm6TDNYDDVVrDPJ9SD4OT1lvfJb9NaZK/sD/SQ7rt3/+bdlcuQrPUQrG9mVD5g52yafoPzdW/gLF63O4RrkSODihk9HtZi9r798UwNgofwBjKxF0YAGwdhZ8eSMDcqhRmslAWUaBWJ1hMX/+g9HSBfJTcRRKIQsrtT3xqTgKvcTHMSR7gsGNxZVKIAsH5eNxUlcfo9XOKW41RY5sTJH8iWWa3lDAC2XwEg9hvFi0DnMf22XTsELTC8u1vR1ethhaaCFC7kWjHNIRwDzDZTan9CZ3n36tHoyNWuMlccQxFfEUM6Tr8ZumO06x9Wz6bc7+K/wKLr93RGfxCh64rKuOSZJN2KbtYPGBpybzEN9Lf8YSTR8cfh38dxKdxzrZ9wCAlsqV0ECENJSymMcKeIaPJdHYp22F+6wfFChh5dqZ9n/iQwgWXcVE9RfQWAiSGejwh3QeXqAUdmnb4ud8AQzAogbzGIlsAOoz91BfdA9btW/CXEB0XD4KlZhnSNT5463sRWjJXEcWPPIFj3kaMncgg8bi9naFckjHPvkk/KcNxgzNAEigQWPmDm6xFfXBwCfiaNxj/XBc1xDeeAUFSuqvAb1VM02WeHwgjsFsyVoMUk/AcV0jg2ki6KADg9yAeoVsMTZp3sI2XUdMl6zHQMk+zFN/jJ+1PczmP38g2lT5s/7YowDGCYQYwDjbAdkE1BI9goYVoZbqT76zY7OcE034bzVdmc8l0mXoJjqF5qqfCz0xkuLnX9kUXNFVxdeaoZYTC1ALJgH/yL8FYPkhyxQfZOBd8Uns0rbl7YHLXvZdO1iIwFr8nb3zrsKkIqlA6ZExMqhxwyOnHlId5Xp96V2N8iVwcHwnG5drHgUwxTCAqcokY4JkC1ZqeupfRRF3l//VHyHujsUo8XbcYSsiUsdNBVniOhXxFAxYgxJqPgMY/hpwE87dYwP0dSlIUUGBCylKGPykfd9yMiJIj1DOciIXEn55PSGEEEKEicd3OBTAEEIIIcQufNZBoQCGEEIIIXaRivl7zU0BDCGEEELs0i+4Gm/LpgCGEEIIIXbp0aQib8umAIYQQgghNhv5Vi34eFrXm7MzUABDCCGEEJuVK2n7IK1cogCGEEIIITbr3qjwoKquRAFMMREUYHnMFCIslUt78p0Fq33VLQiNK/vwnQ1CiAv5eVseTdyZKICx0YA3qun/3z/Y9FDnQrMjvB0+aVOF72y4XKe6xgdlFDqpmIG/nReHij6uv6h80qYK1g5o5fLlEkKKLwpgbJT/nV+fFpWdtpxSHjmjPHBVQUouESE5XcnJvHLxERC929j6IssGFb2xbmBrJ+bGea5829Xo95V8LZfKvBXkx3V2LNJoWZTy4K8ynyt5e9AILMQ6gWXcpxTVHVEAY6MMlVb/f19P0xWY6lXwdujp/6+hbbH4w6Y4MuktbBjSxubfL+jTuNB3DSuZL+L/qFWgVfPu1bQiOtYpj297NrA5X+Z8072exVddlUsXHpG5ShkvbPrccGC4u/PDEPllBwDAFx1rcJdJK3zZuTZOf93Z7t+Hv1UTMonxU9PXKy9IMPXK5r1mlexedq457zU0+n2AiVIhiZgxmWdrycTmf//P8Dcgt3EZb9Yxfg42qOiNhNldC3XC9c/wNyzOc8RbtWzKgzNZ2mbu5K+hbZ1eYtquVlmj10Zn+aiV6Ye8L9927Diq7ZczEvf7zR0/391V0Tn6XeTPk/f0/69StvDNNNeLV9lYN7A1ZvWy/SbvKRWjYSUf9G5WCT6eUrSrVQ4zbZzP/xkJRr58u5bBDTC/llVLY1bvhvime71C005/k3czHhNSG0s+aobfB7WGVCxCKbl1T6NlSpivrT713foY2rEG9o7paPB9wZOztJH8v9esEtrWKGsyLxFG1ska1gQCw96safC5jn9JjHunjkPvhnMrxuW/tb5ZpzzGhNRG/rHjd4xopw9iVvdrie/6NMLeMR3QsloZrO7XEmVKyFDr9UXOFgwD1PE3HkjWq2D8e+/XpS+5AUFZE/u7dfUyRr+/NrMr5NK8y9HB8W/igwIlnC2qlkbC7G4G+bRk/aDWGP9OHQBA1wYB8PWSokllHyz/pDnkEjG2j2hXaBn5fdm5tsHntjXKQKsz3nn6wg+aWM6QCdaeRwXVdVLdtl2j2jtlvuYE1yyLdQNbY0xIbYtpv+oWhK+7B2H++43MppvcNcjgMwMG/9cqEHfnh1mdL1tKUUp5SPDX0LyHKXPH6Lgude0O2E5GdMae0R1wYXoXl/bDEj3+TZQvJXfZ8iyhAMZGpQoUH5t6xZP7euWTNpbryXzVLQh/DM571dGnReEbZ7/garg9t7vJedwxMy2XRCxC/LQu2DosuNC0IR2qQyoWYWjHGrgxuxu2DgtG9Pg3cWN2N5QvKUeraqXRqJIPvnzb8OKyd2xHDO1Q3eC7Sr6eODj+TYPv9ozugNGdTV+YBrevbvT7hhUNSxl0bOEi/NzbSbdGASbnb6spYfWw6MOmWD8ob78s/bgZ/hn+BjrUzhuRdVJoXZSSS+ApFePvYcHYM7qjsdkhevybaBroq/9cs3wJg+kljdzAHrzI0v9//aDWGBNSx6CESiRisH1EO1z+NhQh9f3xYasqCArIGXo+pL4/zk19x2jpXcGL/t35YVg7MK/+yketqqBVtTJY8lHTwr/t0xjdGhpu50b5SvZOfx2CXaPaI27qO/rvaucLoqa9W7/QPP295fCUiQ2CsxrlS+L7D5qgZYGAAgBCG/gDAA6MexOtquVNr1GuBG7P7V7oNduozrVxe253rPqsBeKndcG/I9ujWrmc7d+wko9+PY2dF+Fv5QWo7zaugL+GtjWapzUDWuJ/LSrj7vwwNKviW2h6QTtHtkPPfDeekPr++v8fGGf8GAKAXz5rYfB57DuG55QtT+OHJnQyOa1hJR+DfTWS41KnCj4eODShk36bd8xXUjYmpA7uzg/D2SkhBucakHOs3p7bHcPerInPO9bER60Ll3D81r8l7s4Pw935YRjeqSZ2jswLUvOXWl6f1RVLP26GtjXKoEwJGRZ/2NRoXpd81Ez//yavfz8lzPChaO+YDhj3Th2c/joEwTXL4vTXnXH521CL22HOe4bnYpPKPoiNeBtbhwUXCqYjv2yPY5PfQsLsrgjw8YBELIKPpxT1K3hbXE4uH08plnzU1OJx0qtpRRwc/yY8pIYhQvlScv21+i0B1C+kl7k22jmyPVrNOaCPQreNeAO/n7iLQe2r4+cjd7DxVBIAIPLiY3zZuTbEIgYbhrTB77F3EZPwBCqNzmB+Rye9hcAyhiU5g9oZv5mLRQy2jXgD7684ASCnZdH15JcAjEf6H7eugr9OJ+Hj1lXA5EuQ/4bTs0lFvBVUHqEN8m5KMokIraoZPilv+SIYLJtz08yvkq8nvgmrj1p+JeFXygOd6pY3ms7f2wNj36kDlmWx9OAtxE97B/eeZSKwjBd8zdTz+bRtVTxOz8KvRxMBADqWxdHJb+Phiyx0X3oUQN4Nct77jXH05lODitbWkIoZqLWGT9Xi1/l/s0557BrVHlXLeunreDSvUhpHbz4FkLOel0xcqMQiRv+0XrN8SWwf8QY2nEpC2xplUMuvFKp9FalPe3F6F9T4ejcAwEuWc1p2bRiAdSfuGsxzWo/68PaUok/zyvplGAt+cvl7e+DqzFDUn7bv9Wc5PmpdBcdvP8N/Fx4Z/c3Ud3Muzr2aVkKvppUM8unv7YGVn7bAgxeZmLHzCmqWL2nwlFu6hAylC5S+FPycq2uDAEztUR9+r88lli1csvHd/xpj2B9xCM93A131aQtkZmtRQi5B8yqlcebuCwDAhqFtIBYxeKe+f6HtJhaZfhTOXc+Cln7cDHKJWP+5bAkZGIZBmxplsWFIG4zYcA7pWWoAwNtBeQHIli+C8TRDhW3nHuL7fQkAciqTxyQ80adpXNkXHWqXw87X+2DcO3Vw9OZT9Auuilp+pQqlB4DlnzRHlwaGweNbdf2w5KOmCArwRuXSnvCSidE/uBpEDIMey44VWieGAfoHV8MnbaqgerkS+G9ke6PpAGBgu2rYdv4BvD2kmBBaF89eZeOv00n4tmcDTN95xeT2BIATX70Nf28PzN19DXsvJ+NhWpbB9D2jO8DXS4bq5UrgztzuRq9f5UrK8fug1vjlyB3M23Nd/33BfblzZDv0XHYcZUrIcPabkELXnsaVfbF3TAccvJ5qcG31kIrRs0lFg0CyaaAvPGVirDmeiJ8P30Gf5pXRvEppzO7dENXKlkD72uWg07EQiRjsu5KsP/aCArz1Dw9AXuuc26mv9N/V8iuJW6kZBnkrGGzX9CuJCj6eqODjiX+Gv2Fw7jWoaPyVsb+3B6LHv4lSHhJ8+99VRF58bDD9wvQumPbvZfRqWlF/nL4V5Iea5Uvqj88a5Uvg/1oGYv7r7bz4w6ZgGMbgoWLpx83g7SHF5x1qoG2NsiZLY12JAhgblS8lNyh+rFm+JL7tlVNfYO57jfQBTE2/vCfsdrXKoV2tnCeJj36Jxck7z/XT8gcvv3zWAulZatQob7rYv3mVvKj8fy0qY3bkNQCAkWs/ZvVqgE9aV0H9ioYRev4LwPgudVC1bImCPy2EYRizxaEf5nvXWzDdmgEt9f8f16UuxnWpCwDw9TJ+Y9s4pA2+3HQes3s3gkwiwjdh9fUBTNsaZeDjKYWPpxQ7wtvhfNILfcVesYhBbITxuid/Dm6DkX+dw38j26NcSTm6LD6M+89zLqoMGBQcUzX/jatg3aHhnWqihFyMt+qaryw7972GmPzPJX0dHIZh8GnbvBK5xR82xZjN8SghE0MkYjAlrB5eZGaj+uvSgek96qNehVIGwaWvlwwzbKx7lBsQAUC7mjnH4U8fN8PX3YP0dVpeKjVG05tSubQXVve3vdVRYBkv3JrTDToWherMGHsxU7N8SUSNMyzNYxgGJV4HbWNC6qBMCRlC6vujgk/OzWBCaF3IJCKE2dlHxT/D38ClB2no8fq4WvpxM/wT9wBjX7+KAnLO6UHtqmPRgRuFnpSlYhEq+Hji8441EODtgeCaZVGmhAxBU/capPtfi8qIupqC5lVLI7CMF85801n/oLHwgyZYGXMbXRsGoGXV0lCqdfCU5RyTfqXkSH2p0m+LgsFXk0Bf3Hv2CsYcGt9JX/oEAI0q++DijC5ISVciWaHEX6eT8EXHmvp57xrVQZ923vuNMPe9hmAYBg/TsvDLkTuY/34jPErLwtKDt9Cmehls+rwtVBodPKQ5eZ36bn1Mfbc+sjU6ZKg08JCK4CkVGzxQFQw48mMYBv3fqIatcQ/QLF8JZn6NK/vi2syu+u1jTMEAw5TcbTM5NAjvNqqov0nnP29z8zvnvUbou/qU2bosNfKVtP4z7A00mbm/UJo1A1pi0LqzAICKPoYBzci3amHZoVv42EhJU341X98z2tUsZxDA9Gpa8XWpSzOD9N4eUoS/VQsD21XDqcTn6FSnPBiGwcetq0AiYgz2T67cQE8kYgxKk/nEsMYee4oAhUIBHx8fpKenw9vb+iI2R82JvIrfjiXi2qyuBjfBXFodi2evVNhzKRmtqpUpFFxYIzcqPzb5LYzbfAE+XlL82q+lQbRu6R3viA1xeKnU4I/BtlcQtpZOx0KjY+2q3MmyrMFJlKJQIul5ZqGSIXtN3HoBW+MeAMipCJmtzSkZG/9OHRy99RS/D2qtvwg7IvWlEuVLyo1eEABAqdZyshxLTic+x9az9/F193pGS0S0OhY1v96NknJJoaJvW46r/FrMisKzV9mI6BaEPi0qQ6XRmW1FFb7xHCIvPkb1ciXMvt4QilcqDTaeSsI79f0NggJTRv11Hv9deIRRb9fC+NdBvL1O3H6KpoG+ZoPNjgsOQSpmcPtJTjBTpoQM5/K92nMEy7J4kqGCXykPaLQ6xN55huZVSusDS64VvB4IhaV8sSyLOZHX8FaQH9rVKmfyXIpJSMXey8mY1qO+wT7V6VhcT36JugGlzJYi5tLqWEReeoxmgb7IUGlQ268kJA5U9D54PQWD1p3FrN4N8Vlby9UhuGLt/ZsCGDf0MC0LaZnZhYoUt5y9j0l/X8TE0LoGRe6kMJ2ORe8Vx/Fpm6pIfPYq52m3QQBWFahjQIBbqRmY9PcFrPy0hU1906S+VOJM4guENvC36iKqUKrx99kHCGtcwe4+cIROrdVB6uKWQ4lPX+HXo3cw7p06KFdSOBUwi6O3F8bgztOcgNKWhwE+8XHMUgBThAMYc9Kz1LwOruWONFodzt9PQ6NKPi4pDSGEFE9KtRY/7E/Ap22rWvXqvriiAKaYBjCEEEKIO7P2/k3NqAkhhBDidiiAIYQQQojboQCGEEIIIW6HAhhCCCGEuB1BBzDLly9HtWrV4OHhgTZt2uD06dN8Z4kQQgghAiDYAGbz5s0YN24cpk+fjnPnzqFJkyYIDQ1Famoq31kjhBBCCM8EG8D8+OOPGDp0KAYOHIj69etj1apV8PLywpo1a/jOGiGEEEJ4JsgAJjs7G3FxcQgJCdF/JxKJEBISgtjYWKO/UalUUCgUBn+EEEIIKZoEGcA8ffoUWq0W/v7+Bt/7+/sjOTnZ6G/mzZsHHx8f/V9gYKArskoIIYQQHggygLFHREQE0tPT9X/379/nO0uEEEIIcRLnDB3qoHLlykEsFiMlJcXg+5SUFAQEBBj9jVwuh1xOA5URQgghxYEgS2BkMhlatGiB6Oho/Xc6nQ7R0dEIDg7mMWeEEEIIEQJBlsAAwLhx49C/f3+0bNkSrVu3xuLFi/Hq1SsMHDiQ76wRQgghhGeCDWA+/PBDPHnyBNOmTUNycjKaNm2KvXv3FqrYa0ruINvUGokQQghxH7n37dz7uCkMaymFm3rw4AG1RCKEEELc1P3791G5cmWT04tsAKPT6fDo0SOUKlUKDMNwNl+FQoHAwEDcv38f3t7enM2XOI72jTDRfhEm2i/CVdz3DcuyePnyJSpWrAiRyHRVXcG+QnKUSCQyG7k5ytvbu1geWO6A9o0w0X4RJtovwlWc942Pj4/FNIJshUQIIYQQYg4FMIQQQghxOxTA2Egul2P69OnUaZ4A0b4RJtovwkT7Rbho31inyFbiJYQQQkjRRSUwhBBCCHE7FMAQQgghxO1QAEMIIYQQt0MBDCGEEELcDgUwNlq+fDmqVasGDw8PtGnTBqdPn+Y7S25r3rx5aNWqFUqVKgU/Pz/07t0bCQkJBmmUSiXCw8NRtmxZlCxZEn369EFKSopBmqSkJISFhcHLywt+fn6YOHEiNBqNQZqYmBg0b94ccrkctWrVwrp16wrlh/atcfPnzwfDMBgzZoz+O9ov/Hj48CE+/fRTlC1bFp6enmjUqBHOnj2rn86yLKZNm4YKFSrA09MTISEhuHnzpsE8nj9/jr59+8Lb2xu+vr4YPHgwMjIyDNJcvHgRHTp0gIeHBwIDA7FgwYJCedm6dSuCgoLg4eGBRo0aYffu3c5ZaTeg1WoxdepUVK9eHZ6enqhZsyZmzZplMJYP7RsnYInVNm3axMpkMnbNmjXslStX2KFDh7K+vr5sSkoK31lzS6GhoezatWvZy5cvs/Hx8Wz37t3ZKlWqsBkZGfo0w4YNYwMDA9no6Gj27NmzbNu2bdk33nhDP12j0bANGzZkQ0JC2PPnz7O7d+9my5Urx0ZEROjT3Llzh/Xy8mLHjRvHXr16lf3pp59YsVjM7t27V5+G9q1xp0+fZqtVq8Y2btyYHT16tP572i+u9/z5c7Zq1arsgAED2FOnTrF37txh9+3bx966dUufZv78+ayPjw+7Y8cO9sKFC2zPnj3Z6tWrs1lZWfo0Xbt2ZZs0acKePHmSPXr0KFurVi32448/1k9PT09n/f392b59+7KXL19m//rrL9bT05P9+eef9WmOHz/OisVidsGCBezVq1fZKVOmsFKplL106ZJrNobAzJkzhy1btiy7a9cuNjExkd26dStbsmRJdsmSJfo0tG+4RwGMDVq3bs2Gh4frP2u1WrZixYrsvHnzeMxV0ZGamsoCYA8fPsyyLMumpaWxUqmU3bp1qz7NtWvXWABsbGwsy7Isu3v3blYkErHJycn6NCtXrmS9vb1ZlUrFsizLTpo0iW3QoIHBsj788EM2NDRU/5n2bWEvX75ka9euzUZFRbFvvvmmPoCh/cKPyZMns+3btzc5XafTsQEBAez333+v/y4tLY2Vy+XsX3/9xbIsy169epUFwJ45c0afZs+ePSzDMOzDhw9ZlmXZFStWsKVLl9bvp9xl161bV//5//7v/9iwsDCD5bdp04b94osvHFtJNxUWFsYOGjTI4Lv333+f7du3L8uytG+chV4hWSk7OxtxcXEICQnRfycSiRASEoLY2Fgec1Z0pKenAwDKlCkDAIiLi4NarTbY5kFBQahSpYp+m8fGxqJRo0bw9/fXpwkNDYVCocCVK1f0afLPIzdN7jxo3xoXHh6OsLCwQtuO9gs/du7ciZYtW+KDDz6An58fmjVrhl9//VU/PTExEcnJyQbby8fHB23atDHYL76+vmjZsqU+TUhICEQiEU6dOqVP07FjR8hkMn2a0NBQJCQk4MWLF/o05vZdcfPGG28gOjoaN27cAABcuHABx44dQ7du3QDQvnGWIjuYI9eePn0KrVZrcEEGAH9/f1y/fp2nXBUdOp0OY8aMQbt27dCwYUMAQHJyMmQyGXx9fQ3S+vv7Izk5WZ/G2D7JnWYujUKhQFZWFl68eEH7toBNmzbh3LlzOHPmTKFptF/4cefOHaxcuRLjxo3D119/jTNnzuDLL7+ETCZD//799dvV2PbKv839/PwMpkskEpQpU8YgTfXq1QvNI3da6dKlTe673HkUN1999RUUCgWCgoIgFouh1WoxZ84c9O3bFwBo3zgJBTBEEMLDw3H58mUcO3aM76wUe/fv38fo0aMRFRUFDw8PvrNDXtPpdGjZsiXmzp0LAGjWrBkuX76MVatWoX///jznrnjbsmULNmzYgI0bN6JBgwaIj4/HmDFjULFiRdo3TkSvkKxUrlw5iMXiQi0tUlJSEBAQwFOuioaRI0di165dOHToECpXrqz/PiAgANnZ2UhLSzNIn3+bBwQEGN0nudPMpfH29oanpyft2wLi4uKQmpqK5s2bQyKRQCKR4PDhw1i6dCkkEgn8/f1pv/CgQoUKqF+/vsF39erVQ1JSEoC87WpuewUEBCA1NdVgukajwfPnzznZd8VxvwDAxIkT8dVXX+Gjjz5Co0aN8Nlnn2Hs2LGYN28eANo3zkIBjJVkMhlatGiB6Oho/Xc6nQ7R0dEIDg7mMWfui2VZjBw5Etu3b8fBgwcLFY22aNECUqnUYJsnJCQgKSlJv82Dg4Nx6dIlgxM/KioK3t7e+ot9cHCwwTxy0+TOg/atoc6dO+PSpUuIj4/X/7Vs2RJ9+/bV/5/2i+u1a9euUDcDN27cQNWqVQEA1atXR0BAgMH2UigUOHXqlMF+SUtLQ1xcnD7NwYMHodPp0KZNG32aI0eOQK1W69NERUWhbt26KF26tD6NuX1X3GRmZkIkMrydisVi6HQ6ALRvnIbvWsTuZNOmTaxcLmfXrVvHXr16lf38889ZX19fg5YWxHrDhw9nfXx82JiYGPbx48f6v8zMTH2aYcOGsVWqVGEPHjzInj17lg0ODmaDg4P103Ob63bp0oWNj49n9+7dy5YvX95oc92JEyey165dY5cvX260uS7tW9Pyt0JiWdovfDh9+jQrkUjYOXPmsDdv3mQ3bNjAenl5sX/++ac+zfz581lfX1/233//ZS9evMj26tXLaFPdZs2asadOnWKPHTvG1q5d26CpblpaGuvv789+9tln7OXLl9lNmzaxXl5ehZrqSiQSduHChey1a9fY6dOnF9mmutbo378/W6lSJX0z6m3btrHlypVjJ02apE9D+4Z7FMDY6KeffmKrVKnCymQytnXr1uzJkyf5zpLbAmD0b+3atfo0WVlZ7IgRI9jSpUuzXl5e7Hvvvcc+fvzYYD53795lu3Xrxnp6erLlypVjx48fz6rVaoM0hw4dYps2bcrKZDK2Ro0aBsvIRfvWtIIBDO0Xfvz3339sw4YNWblczgYFBbG//PKLwXSdTsdOnTqV9ff3Z+VyOdu5c2c2ISHBIM2zZ8/Yjz/+mC1ZsiTr7e3NDhw4kH358qVBmgsXLrDt27dn5XI5W6lSJXb+/PmF8rJlyxa2Tp06rEwmYxs0aMBGRkZyv8JuQqFQsKNHj2arVKnCenh4sDVq1GC/+eYbg+bOtG+4x7Bsvq4CCSGEEELcANWBIYQQQojboQCGEEIIIW6HAhhCCCGEuB0KYAghhBDidiiAIYQQQojboQCGEEIIIW6HAhhCCCGEuB0KYAghhBDidiiAIYQQQojboQCGEEIIIW6HAhhCCCGEuB0KYAghhBDidv4fU1yRpcRkD9UAAAAASUVORK5CYII=", "text/plain": [ - "
          " + "(464, 6220)" ] }, + "execution_count": 177, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "df_dif.plot()" + "min(r2['len']),max(r2['len'])" ] }, { "cell_type": "code", - "execution_count": 101, - "id": "32c6a929-b165-4ff3-9961-188423c2c84e", + "execution_count": 180, + "id": "93bff876-70e2-4e98-9509-f2b9abd990d8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "np.float64(1348.0)" ] }, - "execution_count": 101, + "execution_count": 180, "metadata": {}, "output_type": "execute_result" - }, + } + ], + "source": [ + "np.percentile(r2['len'], 99)" + ] + }, + { + "cell_type": "code", + "execution_count": 181, + "id": "9475e71c-cec9-4c5a-a176-30ab4dece2f4", + "metadata": {}, + "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAigAAAGdCAYAAAA44ojeAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAA+yZJREFUeJzsXXecFEXafnrCJmB3YQkLkoMCgoqiiJgDgnh6xlPxjKenn+HO8zz1Ts90ivFM55nPHM4cOBUBJUgOknPOmWVZlg0z098fPd1dVV1VXd0zszuD/fx+CzM93VXV3RXeesPzarqu6wgQIECAAAECBMgihBq7AQECBAgQIECAACwCASVAgAABAgQIkHUIBJQAAQIECBAgQNYhEFACBAgQIECAAFmHQEAJECBAgAABAmQdAgElQIAAAQIECJB1CASUAAECBAgQIEDWIRBQAgQIECBAgABZh0hjN8APEokENm3ahGbNmkHTtMZuToAAAQIECBBAAbquY+/evWjXrh1CIbmOJCcFlE2bNqFDhw6N3YwAAQIECBAggA+sX78e7du3l56TkwJKs2bNABg3WFxc3MitCRAgQIAAAQKooLKyEh06dLDWcRlyUkAxzTrFxcWBgBIgQIAAAQLkGFTcMwIn2QABAgQIECBA1iEQUAIECBAgQIAAWYdAQAkQIECAAAECZB0CASVAgAABAgQIkHUIBJQAAQIECBAgQNYhEFACBAgQIECAAFmHQEAJECBAgAABAmQdAgElQIAAAQIECJB1CASUAAECBAgQIEDWIRBQAgQIECBAgABZh0BACRAgQIAAAQJkHQIBJUCAAAECBAiQdQgElBzD7n11eGn8SmzZU9PYTQkQIECAAAEyhkBAyTH88b9z8Oi3SzD8tamN3ZQAAQIECBAgYwgElBzD+GXbAQArt+9r5JYECBAgQIAAmUMgoAQI4AHVdTHU1McbuxkBAgQIcMDDk4DSuXNnaJrm+LvpppsAACeffLLjtxtuuIEqY926dRg2bBiKiorQunVr3HHHHYjFYum7owABMoS6WAK9/z4Khz3wPRIJvbGbEyBAgAAHNCJeTp4xYwbicXv3uGDBApxxxhm46KKLrGPXXXcdHnzwQet7UVGR9Tkej2PYsGEoLy/H5MmTsXnzZlxxxRWIRqN45JFHUrmPAAEyjs179gMwBJW6eAIFoXAjtyhAgAABDlx4ElBatWpFfX/00UfRrVs3nHTSSdaxoqIilJeXc6///vvvsWjRIowZMwZt2rTBEUccgYceegh33nkn7r//fuTl5fm4hQABAgQIECDAgQbfPih1dXV49913cc0110DTNOv4e++9h5YtW6JPnz64++67UV1dbf02ZcoU9O3bF23atLGOnXnmmaisrMTChQuFddXW1qKyspL6+6WCeNQBGhh6YNUJECBAgAaDJw0KiS+++AIVFRW46qqrrGOXXXYZOnXqhHbt2mHevHm48847sXTpUnz22WcAgC1btlDCCQDr+5YtW4R1jRgxAg888IDfph5Q0ADkyjoZiydww7uz0a9jKW46pXtjNydlBMJhgAABAjQcfAsor7/+OoYOHYp27dpZx66//nrrc9++fdG2bVucdtppWLlyJbp16+a7kXfffTf+9Kc/Wd8rKyvRoUMH3+XlMjRNy5mt/KiFWzFmsfF3QAgosCWURI68gwABAgTIVfgSUNauXYsxY8ZYmhERBgwYAABYsWIFunXrhvLyckyfPp06Z+vWrQAg9FsBgPz8fOTn5/tp6gGHeA5Fj+w/gMNxA/kkQIAAATILXz4ob7zxBlq3bo1hw4ZJz5szZw4AoG3btgCAgQMHYv78+di2bZt1zujRo1FcXIzevXv7aUqAAA0G0sQTyCcBAgQIkFl41qAkEgm88cYbuPLKKxGJ2JevXLkS77//Ps466yyUlZVh3rx5uO2223DiiSfisMMOAwAMHjwYvXv3xm9/+1s8/vjj2LJlC+655x7cdNNNgYYkQE5hz/56NM33bSENECBAgAAu8KxBGTNmDNatW4drrrmGOp6Xl4cxY8Zg8ODB6NmzJ26//XZccMEF+Prrr61zwuEwRo4ciXA4jIEDB+Lyyy/HFVdcQfGmBDhwcKD5lFZU11ufBz36QyO2JECAAAEOfHjeAg4ePBg6xwDfoUMHjB8/3vX6Tp064ZtvvvFabYAAjY6R8zY1dhMCBAgQ4BeDIBdPgACKKMwLmGMPJOi6jkkrdmBHVW1jNyVAgAAcBAJKgACKCAVEKAcUvl2wBcNfm4ZTnhjX2E0JECAAB4GAEiBjONDW87KmQSqGAwk/LDGiCffWBslKAwTIRgQCSoAAiujUokljNyFAgAABfjEIBJQAARShB+wnBxQOMAVfgAAHHAIBJUDGcKCZeAL22OzE+l3VqPHBWnyg9c8AAQ40BAJKgIwhWNADZBoLNu7BCY//iMFPT/B8bW0sYX2uIz4HCBAgOxAIKAECKCKQt7IP3y0wsqCv21Xt+do9+23ivf11B27eqAABchWBgBIggCJ4BIUBGhepmGnISwP/ogABsg+BgBIgYzjQbPzBEnZgQTvQOmiAAAcYAgElQABVEBLKVcd1brRmBEgPNOpzIKwECJBtCASUAAEUQZoBAtr7xkcsnkhJrAgUKAFSwVdzN+GtyWsauxkHNIJ88QEyhgNtV0q6oATuKI2L9buqcdZzE7G3Jj0ssIEPSgCvuPWDnwEAJx3cCp1bBiSOmUCgQQmQMRzIO9RgQWtc/HvcipSFk0DIDJAO7K6ua+wmHLAIBJQAARRBLWjB4pbzmLO+wvocCCsB/CLoOplDIKDkMIKw14YF+bRjieDZNybS0fVbNcu3y0u9uAApYEdVLVZur2rsZvhCMA1nDoGAksMI1siGBSkQvv7T6kZsSYB0oEUTOzt1IlhlGhX9/zEGpz01Hhsr9jd2UwJkEQIBJccQIvw64oGE0qAInvaBhcDpOfuwYOOexm6CEvTA3tsgCASUHEMkZL+yYNfXsPilPu59tTFU1aYnWiZdSMe7IMdP4PScHQjliGc92f+CfWLmEAgoOYYwoUIJNCgNi9cmrmrsJjQ44gkdh943Cn3uG5X1CfXq497aF2yCsw+h3JBPgu7SQAgElBxDJEwIKL/ULX0jYeba3Y3dhAZHFRHKm03hlDyNRyzubTyQGpRA1s8O5IoGJdBeNwwCASXHECE1KB4n5IYGmeskiDjKTZATcTYtHrzutKOq1lMZ7ZsX2uUFe+LsQPZ0MSmC6axhEAgoOYYw4YOS7aGu5FyT5U31jGF92zZ2ExoEpICSRfIJF6R2UQXHdi2zPgcLTnZg6sqdjd0EJQQCbcMgEFByDFFiEs4lNeOBpkFZvWNfYzehQRDPUg0KD167WOCCkn2YtnpXYzdBCUEEWMMgyMWTYyB3idmuQSGROy1Vw6LNlY3dhAYBOflmkwMjrz957WP0InOg9dDcQG0sjodGLrK+Rz1qwQIc2Ag0KDmGMLGLTWS5gELtULO7qQEEOJDfG6mmP5DvM5vxzpS1eHfqOuu7luVaOhNBf2kYBAJKjoFUs2e7BmXs4q3W58Bmm5sgTTzZNCnz2uJVCxKo6RsfmypqqO/hXBFQgvmsQRAIKDkGcvzGPPI+NDS+nLPJ+hwsALmJbNfSpQLaB+XAvc9cQjib7IgSBPNZwyAQUHIMpAalPsvDjAPkPigtQ+M1QwmeF40s1Q79ksAqTHJEgZL1Y+FAQSCg5BhoE092a1BIBAtAboI28WTPS0y3xiN77uyXBVYeyfZIMRPZNBYOZAQCSo6BMvHkkPo9l0KiA9gg3xvrL9CoSEN3op24g/7ZGGDlkZwx8RCfJ6/c0WjtONARCCg5BkqDkuUmnkPbFVufs7ulAUQgfVCu+M+0RmyJOzzzoAQJ3xodrMYkR+QTqu+8M2Vt4zXkAEcgoOQYyB1GtjvJ/uboDtbnYIeamyDf2u7q+kZrRyZA98mgfzYKHD4ouSKh2B+zPYlmLiMQUHIMoRwy8VC5eBqxHQH8I1vlSj5Rm8cwY/Jzlt7ngQ5Wg5KLYcZ7a2OSMwOkgkBAyTXkkpNsECURIIuRSxFKBypYk06u+KCMX7a9sZvwi0AgoOQYyOGb7WHGuvBLgFxBtvKD8EyGKeXiyc7bPOChMTaeHFGgYPnWKutzQTRYRjOF4MnmGGiituyeVekdana3NUBuIR29iRRygiizxkGuRvFU1tj+WDX1Wa7JzmEEAkqOgRy+2W7iSQQmnpxHLr23VJqaS/d5IIF1is0VH5S3g8idBkEgoOQYyAFdUx9vxJa444Gv7Sylwfyfm5ixZldjN0EZKeXiCXpoo4BVmORMFE+ABkEgoOQYyOF756fzG60dXhGo0HMTk1ZkJwlVOrrTZz9vlJb37fzN+GTWhtQrCiAE64OSIxaeAA0ETwJK586doWma4++mm24CANTU1OCmm25CWVkZmjZtigsuuABbt26lyli3bh2GDRuGoqIitG7dGnfccQdisSBMSxW5uswfCPJJfuSXJ89n63vjhxl7w+LNlcLfamNx3PjebPz547n4cs5G4XkBUkOuRvEEaBh4mnFnzJiBzZs3W3+jR48GAFx00UUAgNtuuw1ff/01Pv74Y4wfPx6bNm3C+eefb10fj8cxbNgw1NXVYfLkyXjrrbfw5ptv4u9//3sabylANuJAUKE3yY80dhMaHLn/1tTAavhIB/Q/fDingVvzy4EzWWBuCCiBINUw8CSgtGrVCuXl5dbfyJEj0a1bN5x00knYs2cPXn/9dfzzn//EqaeeiqOOOgpvvPEGJk+ejKlTpwIAvv/+eyxatAjvvvsujjjiCAwdOhQPPfQQXnjhBdTV1WXkBg805Cwja442m0TOPvsU0ND3vHTLXrw5abUvluRUmspemyPrZM6DFUhyZd0vLYw2dhN+EfCts66rq8O7776La665BpqmYdasWaivr8fpp59undOzZ0907NgRU6ZMAQBMmTIFffv2RZs2baxzzjzzTFRWVmLhwoXCumpra1FZWUn9BTCQ7Y6yJnJtaa+PJ6g8NMAvM19LQ8tkZz4zAfd/vQjvTVsnPS/dghNb2r7a3BhXuY5cDTM+pLxZYzfhFwHfAsoXX3yBiooKXHXVVQCALVu2IC8vD6WlpdR5bdq0wZYtW6xzSOHE/N38TYQRI0agpKTE+uvQoYPw3AMd7ET6w5JtjdIOr8gl5cP+ujiOemg0Ln55CnX8F6lBaaR6526o8HGV/9ay73aer/oDeAVLdZ/t6TtMsO0OkBn4FlBef/11DB06FO3atUtne7i4++67sWfPHutv/fr1Ga8zV5ArO45M+KAs2LgHI75djKo058KYtnonKmtimLl2N3X8FyifNKhQtnsfYeZ1qZbrJJuKiYf5niPrZM6Dnb3ed9GcZQtCOTLv5jp8ef2tXbsWY8aMwWeffWYdKy8vR11dHSoqKigtytatW1FeXm6dM336dKosM8rHPIeH/Px85Ofn+2nqAQd2Eo7kyEDJxDp39vM/AQBq6uJ44Nw+aStX1NRgzcosHv5mcaPVzfbPX6K2rDEQDWcmMk7XdXw0cz2O7VqGTmVN0l5+jky7OQ9fveONN95A69atMWzYMOvYUUcdhWg0irFjx1rHli5dinXr1mHgwIEAgIEDB2L+/PnYts02S4wePRrFxcXo3bu333v4RYGdNnNFkt9dnTkn6MWb96a3QMHaREZ65GVoYs02NOQyvW1vbUr1psYkS18diCcNgyb54YyUe9UbM3Dnp/Nx0hPjMlJ+YOJpGHieZROJBN544w1ceeWViERsBUxJSQmuvfZa/OlPf8KPP/6IWbNm4eqrr8bAgQNx7LHHAgAGDx6M3r1747e//S3mzp2LUaNG4Z577sFNN90UaEh8IlcGyt8+X5C5wtP8CETmqF8i82hDKhI8vcY0t4stLtCg5DbIbMN79tdLzvSHHNkX5jw8CyhjxozBunXrcM011zh+e/rpp3H22WfjggsuwIknnojy8nLKDBQOhzFy5EiEw2EMHDgQl19+Oa644go8+OCDqd3FLwk5OnHOWV+RsbLTPVeIUhz9EnML9W5X3GB1kY/UjXmYJyCmM8w48EFpGLBMsplAZQYElFzha8l1ePZBGTx4sHB3UVBQgBdeeAEvvPCC8PpOnTrhm2++8VptAAGCnV76oeKD8kt56ocdVNJgdZF9Oe5DQkhFq8WOoyA1w4GDTAQSBBqUhsEvw5B+AMGpim6UZmQV0r2ZEQl9OqVB+WU8+IbUJJCP1I+A4OUSN5+TQINy4CATwmaLJoFLQkMgEFByHL8UX4iGhFCDorufc6ChIfsXqTVxW1N4v3tZh1gNzRImL88vRQD9JSATr/LYri3SX2gABwIBJcfgsJV7ZwQP4BO/RB+UhtQkeBFQePAiTH09bxP1vSBKR5N0zkBoagAOGsBU4sdc2JB4afxKnPHP8dhZVet+8i8MgYCSY2An4eweeg2DhnC0A36Zz7ohNQmdWxZZn12dZFPUoCzbWkV9ZxNBsgJLgAyhAbpXJkw86Szy0W+XYPm2KvzrxxXpK/QAQSCg5DgyxSOQS5iyamdayxNNPr8UrQmJhrznQ9vZDrlu1aYaxcOKtOwiFphODxxkREDJQP+oqQ/U4SwCASXHwI610sK8xmnILww8TcIvwU+hIaNZ7vvKThjq59l6WTTcHKt/Aa/2FwMfibFdkYn+8UuYT7wiEFByHMFOLxNwPlOeGVs2n/y4ZBse/t8ixDIxOzYgGst8P2ax9ySY3jQotITCCmJBmHFuI9NhwJnoHtnuK9MYCASUHIMzZ0jjtMMPcnGHYLaZq0GRXHf1mzPw6sTV+HT2hgy1rGGQre+M64Pi4XpWg8I6m2fpbQfgQNd1VDCpNAZ0KbN/z8AmLhPdY/7GPRkoNbcRCCg5jmyeSNuWFFDfF2ysFJzpxNqd+3DXp/OwcnuV+8lpBhVOnPzM16C4P/wNu/enqVWNg2zuXyy8CFNuPigkBnQJQkozhXQIDze//zOOeHA0ZhHZx8lyG0szEU/o2LKnRvn8uhzXtmYCgYCSY3AQtWWxiYedGOo9xERf+Z/p+HDGevzm5anc3zO5s+cxxnKdMhXKynW1bbaaOnit8tRSRoUi00zmRYJpMlNIR/f63/zNAIDXJq7i/v7u1HWpV8JAZf65/u2ZOHbEWEwg8gLJC02xUQcggpGXY3BScjdSQxTAts2LWXjNzmoAwA4BN8DPGcztQ8I28fB+a5AmNCpy6Ra9vA/WR8EZvv/L47xpDKTz0X67YAv3+AfTMyCgKJwzdonhR/XaT6vF5ZDcSqk26gBEIKDkOLLVRwDIbNvuyWR2ZAKmkOX3VnIl27QI2apB4UO9rex7YYXpX2Lm6gMJGe+2RPmDupdJ57q4RHNcuT9mF5lTY61hEAgoOY5s7tLs4pbODKCLNqv7s3gFb3Gq2F/nPE/h6ee4fJK1GrpUNVpsAjknDwrxW+AakDHk6ppMjv1JK3Zi+GvThOfG4uKbXLApcIyVIRBQchzZPMBZ/4tcXKvN5ztwxA/C32TIxXumwC7cWdPh/PkEmXDToJACS25pkXILmdJOZVyBwlQweaWYLFLWlmg4pHTeLxWBgJJjcDrzZW+3ZpuWK9qEVP0Paurj9pdcuWkBZKaPbEMqPihOQcxfuQG8IZ3Ptn3zwvQV5gJesxMidaPkHklNXl0sUNWxCASUHEc2z525uvNU9T8Q3R4ZWpjrRG1Op+zsfadehPUuLd2SAZLOi9l7z7mOdD5Zc7FPJHQs2pQ5EzDAH/txQf+TjZmSwqj1ubouLjzvl4pAQMkxOKINsnjuZDcUuegwKnu+ooUrErbvM/fDjOnvokk43ch3Ce1NlaiNfEe8a8nyc/wV/uLwwo8rUFUbcz8xzRCNddmYITUoe/bXp71NuY5AQMkx5JKJp6EWs3SDcpD0cQ+kXble4iCXC2Dv/ztBKGe6cWTH5p6v+Xb+ZmWNlRsjc6p9IIAi0pjjyrzs+QbICszbnMQEAsrP6yoy3JoDF4GAkuPI5t1dNgtPqpDdgej2SE1R7AALAfl2fsMIKK2a5Ut/r+d0/LemrMU7U9f6qo/tq4EGpWHAe7Qz1uz2WZZRGi8Pz4dp5kLhjf2qGu9amwNhjswkAgElx+BQRWexfdxB1JZ7Fh6piUekIcoGmu10wRl+2zD346a1ELFz/rhUjbVTpjFx1B8sIhkD79HurnaG9Hspi2dKvuuz+b7KFNbFORbysZoGPUuOQEDJdWRxD3fwoORI0C3F7ihZnP43b7OgAPtjxxZF6WpWo8AZftsw9fonxlMs30P9OS5jZjV448vvLGEW1SDOpoHQ2iAIBJQcQ65Q3eu6nrNhxiRk89DWSvdEYOVMwsRcA3v/ZEK2jNbrU/JOdXHj1R/4oDQs0knomCnweoSfyKGga8kRCCg5jp/XNcyC4RU8wSmT806mbLmyUkUaIdJZLtcnIHZx3rXPn/rdc70S1x0h3wTUI8UcPieOE4j6cvwdZjN4jzb7xRNgZ5VzHLiHrvMQdC4ZAgGFwartVVlNmMN256dGL2uUdriBt+vMZJjxht3701YWrd4XTyCi2xk5b5NdVhomoKraGO77cgFmrtmVclle0VhOfLLnLktLr9rFnGHFYoElcGTMHHiP1u800ZDv6dmxyzn1N1j1vxgEAgqBMYu24tSnxmP4a1Mbuyli5MggaGi1eEjV+UABCV1NAyKqcSehZUjHY3jq+6V4a8paXPjSlNQL84jGmnSlmivpq1brB+9Nk0d1BD6yDYN0PtrGfk1+aBWCviVHIKAQeGvKGgD+w9waArnSn3kq+nTqT8qa5GWsbFKlL9OAqOz00jEBrdy+L/VCfMKreWP73lqa6t8n/O6GVeVUURSQVX/gg9Ig4L1nv5uNhnpNIt8zUZ9tVhARlhX0LDkCAYXAxOU7GrsJrsiVyXLbXncH0lQwqHtL6jubnTYVqGpQVF5FOt5WY5oYvPS39buqcfTDY3DaU+PTUK+/6/yaEdnbJOvPlTF3oMD3O2yg5f49AdcOaXncRzDZynymAsgRCCg5hkxPlvGEjt1pcIQUsSqmC+xziKRRQCHnOamJR6HKXF/cvLR+7OKtAICNFan7A8mem+yR+uGiAHgpJA4cR+dcQzqHcibw3A98plqT82hPdT0OvW+UdXyfJOw5m/0dswGBgJJjyDQx6WWvTkW/h0bjyzkbUyqHl0slrfbmDC4alAZFauLhz6T1McpGlDIac4H0or1Jp1Dq9579cu3IiNsC+SRz4L3ncJq0YA0Nc954deIq5Wte/2l1pppzQCAQUAgM6NKisZvQ6Ji22ogU+U+KA4c3WaRTm/C/+TRJWjrnJlq97/36/0yyn1061M6NyRbs5ZU9L9hZ+oHvvpKu3Xdg4mkQ8Pq2Xx6Uxn5LZj+RRZmxmLm24SPzcgmBgEIgB/iBGmyyTJUsidfOTDY9nWXTPiiN7yTbmOujl/6Wzmysfn1/fBO1Ob4HTrKNBTbTtCoa+zWZJp4cWEZyBoGAQiAXqNhzZbLkaR4y2fZ0ahlU/Q9U+kt6nGTTUIhPNJZ/n28m2TSZBygunMBNIGPg9e2ivLCvsnZU1abYmtRgzm+5wISbKwgEFAJ+JfeGRIPlQiE+19THsWp7lafrzcFaUhhFm2IjM21GF9q0alCIYlN0kk2LBqUxTTwNWPcJPezILJlQIPUL8lm300nWZ0EBPIH3mL08+2wi0TPnjUA+SR8CAYXA4e1LG7sJrmiwAUnU0/Pe73DqU+Pxk4cwbDO0LqQBWyuNnc2mNER3iJBeHxQ1J9kCjiPwwk17qO9p8UFpVCdZ8W91sQQqa9Jn1iEjsfxG8fhnIaW/k/XnitaSh3hCR4XP7MANgVQfbTZlCw/CidOPQEAhcGzXssZugisaagzM3WAstKRA9MDXC5WvN9tJchrc++WC9DSOg/T6oPA/s+jEyb1x8/s/U99zeG0DIJ90hzwzAYfd/z12ZkC1nkU+sjktoFz88hQc8eBorPSoAW0opCrAZ6NMEChQ0odAQCGQzt1gpuB3snz9p9X4bPYGedmc0b56h81i6iWNOc8eu3ufv+e7Yhs9ufK0SJnzQXGW2/egErNSB/YzzygdGq/GnINlda9K9o1JK3dmoF6JBkVyXbrs/7qikJrtMLNPf/lzarQBmQJveHgZMl7mwyVbKrF+V7V64R7hp5vksOzbIAgEFAK92xY3dhNcYQoRd5x5iPI163ZW46GRi/Cnj+ZKz/tyrnwSi3nwFjQnDpJ0ya8QwWpuMr1gUHlYOL+ba6DK/aSlqVkexZMJ1basSGlklc/6nGWqRXLlCrL1Dnh9x8s8wXs1zYui3HOHPDMRJzz+o3LZIvA4nkh4kZEPgK6VUQQCCgHTHOHXi7whYHbo4kJjEPYsb+Z6TZUi7fLKbXTOl9376igKeS/2XrOdpInH72B0RlhkNoTZLcxYs35zXstOTjnvJNuAVafFrJImH5QDLVlgtpqpUnWS5d3XWX3b+m+QAi4b0NHT+bI0HAeC8JtJBAIKAXNxydbBDNht88K2SA4QGdvnmp20gHLPFwuoa1swCfpk4GtQ1CG7Pe6k5qFsN7hG8SQbp5SLJx0mnkZ1klXREqW/gVIeFMl1vplkJd+zeT5QRbbeQqrPlnf98q2GSbhDi0LuNamm8hDlCvJzK7lsPmwIBAIKATOLZjZ3Gtv5VP2aMPGWZWYa1tdjwaY91KArzBNn5WRhtVMxMoMFeXsV++kJhW+3Tt9Lo6N4nNAUfpNd7xWN2R0bciyMW2pnGJ6zvsJXGekK8aSjeNJTZmNi0orsTITKe7ZeHjfv+ulrDHbW9bv4UYN++5Zdp7yFrJAs65IHgvCbSXgWUDZu3IjLL78cZWVlKCwsRN++fTFz5kzr96uuugqaplF/Q4YMocrYtWsXhg8fjuLiYpSWluLaa69FVVXje5mHrZ1x9nYaSzPhQUIJExnUvORL0XVGGPDwXGwNSuomngUbKynhKdMstTq1ONEFH96+xPZBUdEupMPE04j9saEm0BiHHpzMCEsiI0yyEhPPgbCImFF5WQfuWPYyR3l/N7UpJugTVWlqEr1oFFPpW1v21GRVmHUm4ElA2b17NwYNGoRoNIpvv/0WixYtwlNPPYXmzZtT5w0ZMgSbN2+2/j744APq9+HDh2PhwoUYPXo0Ro4ciQkTJuD6669P/W5ShLnm18ez96XzfDvcQJqDYh7uLaHr1ADyMsmZE4ffHS0bjfHkqKX+CvIBNxOPVIPCtDt7e5IaGrP9cfFKIIRvHhSWqE2xvgCpIZ0alOO6qdFE1MbUoxF5SK+21t91k1fuwLEjxuKqN6anrS3ZCHWdPYDHHnsMHTp0wBtvvGEd69Kli+O8/Px8lJeXc8tYvHgxvvvuO8yYMQP9+/cHADz//PM466yz8OSTT6Jdu3ZempRW0CGxdWjuweeiocD6dqiMFXLS5u1UTbBCj65LFgkX8HhQvEB2VaqhiW6gnWSZH5NaQdU6cz7MmGm/WwRDeuv2fk3ashnnOFGbruv4dHZ2hhaTSFUbKh2rAqSsQREcHzlvM47r1tLRB2XN2uXTH+atyWsAABM9kGfmIjzNNl999RX69++Piy66CK1bt0a/fv3w6quvOs4bN24cWrdujUMOOQQ33ngjdu60eRKmTJmC0tJSSzgBgNNPPx2hUAjTpk3j1ltbW4vKykrqLxMgrSZLt+7NSB2pwnKS9WDiIQeuzMTDyhIJXcdaxnHWa53+NSiSsjlDPr08KOJyNZDCU8MsXI25PpouS8d2NTJ9l5cUNF5jkpBS3WeAJSsXtei3fjgHf/5YTiuQDeA/Wn8mElVBsi5DJp73p63jHs+EgJsLeePSAU8CyqpVq/Diiy+iR48eGDVqFG688UbceuuteOutt6xzhgwZgrfffhtjx47FY489hvHjx2Po0KGIxw212pYtW9C6dWuq3EgkghYtWmDLli3cekeMGIGSkhLrr0OHDl7vUwnkbj9bX7+d7yG5i1fi4pA7fZooKXTyBzz49SJP7TNhEbX5ulo+AMkFwxTUMuWDwparaQQPCs/8wxHyvGBbZQ1mrsmeFOxm32mab/QNXQcmr9iBH5dsa7w2pcHE07KpkR8qL6kRYovMdR+Ur+duauwmKCHVZ+snHHzpltQ2n2abI4JNIo9qIN1+ZI1JPdCQ8CSgJBIJHHnkkXjkkUfQr18/XH/99bjuuuvw0ksvWedccsklOOecc9C3b1/8+te/xsiRIzFjxgyMGzfOdyPvvvtu7Nmzx/pbv36977Jk8GuOaCiQndxLmDE9iMUd+/RebajvCV33vdvgOcmmArIY8h4sU1daajHwZlJ9ykNI0yzhSaVOiUWNi2MeGYsLX5qCGYSQ0phTkSkMmpFg8YSOy16bhqvfnJHWerj36OvG1fpbWdJ827FFUbIuHbv31eGsZyfilQkrlYX6bIUKP1I2gDcdzVmv7utGCjjTFQX7d6auVS6fB7PGtqXq2sR0y7hkhFJjZ3HOJDwJKG3btkXv3r2pY7169cK6dXzVFgB07doVLVu2xIoVKwAA5eXl2LaN3n3FYjHs2rVL6LeSn5+P4uJi6i8jEHB27NmfHRT4pObAiw8KeYrsfHZDoOspUIenaOJh15mf11WwRSfLT69Qub8ujsoaO3rEoUGBXIPC4rHvlvhqR7aEheqWgCKOcMuUgkG0S5RVp9odHL5cAF6esAqLNlfikW+WUNmUszmqTwSeNjQbwXu2D41U19o2hvnNbLMojJmHdGrhtuypwaLNtptD/3+Myck+qgJPAsqgQYOwdCkdTbFs2TJ06tRJeM2GDRuwc+dOtG1rsPsNHDgQFRUVmDVrlnXODz/8gEQigQEDBnhpTvpBvGNznhvx7WIc/sD3GL1oa6M0iQTZyb2EGctMFjLsr4978nUhkW4n2S2VNdZnnSuopWeAshojhw8KYeLJZLhztoQP6owmLBualQ6qe1bDp+t0dIdOneu1hY2PXGlyqs+2MTIIu41xXh9MZzPnbajIaPnZBE8Cym233YapU6fikUcewYoVK/D+++/jlVdewU033QQAqKqqwh133IGpU6dizZo1GDt2LM4991x0794dZ555JgBD4zJkyBBcd911mD59OiZNmoSbb74Zl1xySaNG8LAwF+aXx68CAFz39kzZ6Q0CSkDR1M0M9GQrczCkh9bempgnQji6ztRGDCvXnHuE3Td4pq50jU+WyM6pQZGbeNIlKMVc6WwbBuxCnil/DF6xfiZdVXnYLFrMCurd+TKAd6TTB6Wh4KfOdPahKCeSzkuetFyCJwHl6KOPxueff44PPvgAffr0wUMPPYRnnnkGw4cPBwCEw2HMmzcP55xzDg4++GBce+21OOqoozBx4kTk5+db5bz33nvo2bMnTjvtNJx11lk4/vjj8corr6T3znyghEgyVdY0X3Jm44Ds42EPb47SoHis04umhkSqGhQWEYJsjnwOXkJ+VcAuio5iKSdZZ6Xp2skkEjp0XceIbxc3KsmWeTsRjyzL7LP5ed1ujFrId4IXYeLy7dzjUhOPog7F4hMKmWXqWENk7lY1i2Yrpq/OHkdrGVJ9trKFv1mBJxaNtNSZyjWqIfx5nMk/F/uoCjy/wbPPPhtnn30297fCwkKMGjXKtYwWLVrg/fff91p1g6BZQQR7a2JZadMjmTW9+F6oRiRsJcwo9sXK1TB1GheyzayqjaFpvrzbrdi2FzX14h0B7YPCO+of7Htnnxfpg8K93kM7Ri3cgh+XbMMD5x6K/AidoFKHQf1uavAaC2zKAtVxkdCBMPGczvv3ZADAmD+diO6tnQ6cvOe2r5ZPqJWOKB7zPsKEgFtB+pqxgqqup93fqSHRqayosZvARarzLDk+mySTvHZoUYj1u/bj7qG98NfP56dUPg+uLeb0ExXBvnNZE6X6o152pzmOX86dKiKbpyDSMcpiM1UY4Kq7weq61BgWqToFTrLvKnjQn/7PCc7yyKgKnqkrTfIkyxPDDTOGuE4vGpTfvzMLH85Yj3enOp3MEwn/HDTpBOtMqrp7FJ23ekd1WtolgroPivG/JXiBDhtlCQpz3cafrfOal+caiydwwzuz8O9xK7jX76uLQ9d1tC02kgQW5mVmeXMdA1zNqvuNqo6tSJgnAOV4BxUgEFAYmBEcm/dwtAmNjDbFdlgbT80nAt13xR35qE7NnQdT9EFhTTypkiQBgmimlEs1wDqnrt5BCwkaNNvEw6l1+1465K9bK/dd0ba9zr62dlc19qVRYPSN5C2GPZt4vFXDcwoWR/GIC/9mgW1Giid0bNjNF4h4TrKkGXFTxX7u+bmKbKVQ8KJxHLN4G75buAWPf2cHajhMiesrrHDjjN2zj66gK0x7qn2Md1853j2FCAQUAZ4Zs6yxm+AAqdoLEzs/t0Wf1j6Iz8tTsIFe+spUKV2+CTOf0bZKesH2PdGTPqPEl3T7oLAaFJaNk+ZjcS/vpINbu5+URBVhwhu9aKsnITRT8OskS1OQE++LOGfaqp34aMb65Genz8QW0SZB0oTte2tRWWOYam56bzaOf+xHfDN/s7MIy0fKPkbuTMcvo/1fcl1AyVL5xJMGpbrOmTySvZ6khFi5LTMJaM0qD27TlH8C18TjTdMtA48DK9f7pwiNPwNmKWJJJ8VsgtkJiwsi1sK8avs+HHzPt/hJkpOB9kERl69yu1NW7cSUVTtdz3tnimHK2cL4tfhVlfOUQIa5xTyUnncVV/CG95SLx0O7zvnXT0w9ypdmDGxqBdWwTpU+95tXpuIvn87D7HW7Uc8Rep//YQXnKnfsT2qevks65b48wenHY/tIGfc1ftl2ysRTUV3PnO+rKVmDrNWgeHiwvH7ELsyVhICyJEXGWHE7jDoHdlVLTkheI4Pqo+C9yhzvnkIEAooAiYSedXZnnVksSNz56TzJdcTnNHRllYzICzcJIk/SMNObJYQ0zRNpmlLZvEmQ6AgJXZdmM1YpT4RV2xvf54SFrWkQm3h490j2MzdOl/W7vPmlpONVm2WYu9HFmyvx41Jba8JmvM11ASVL5RPfiQFFxz6aabOMf58h7io7Akz9oaokXU1lQ6xiQspFBAKKALGEnjVkWSbI0F12wtlYIWY1VDXxqE79KkLOraf14P+QhpmSzvOTXhMPr5gqQrW8fW+tNMw4neBNyBe/PKVB8+DYVPdeTTzkZ/vL79LAJ+QmyGkAVm2Xq/fdkm6yYz/XVejZqkH5cIZ62hIVFuOjOnL86NIMP2k8RN2H7H+p+HcdqLl5AgFFgHhCp3wCsgHmpOk13HHUQnsnIZtnub8p7phZNEmGEp98SCv3kz2CjBBK97zLW4hIm2/75kUeNSj+Jo4jO5ZyJ6zpq3elPQ+ODDaTrPmdcw7nOj9ZZlm0bsbnIpq9brf1+f3fDcANJ3WjT9CAL+fIk+UliD7EA+uLlOsCSi6HSJtQMfF0aJH5cGpL++ZBgyLqP11aNnE9x1m/u6B2oCAQUARI6Do+nbWhsZtBgQz59DLdjF1sCyiyQbBY0WarJOkzpoFUwSOb0wharnTtIPihw/bBJvlhe7JX8kFxx8vjVzkcj5sWRNGheeNzV1jmNI8aFPI0FU0kX8jhn0v2qeO6t0TLpnnU7xo0137Hmq5YVNXQm5Ncn/9zXzzh9yP2kEr/PKx9SWoN8TG3ifqynzQkbnPUgYRAQBEgntBRn2X0wWYf9JofR5QWnMVzY5c7jvHqUtEK0GYYG+mYKEkSuAbxQSGOeRWKVCeOTxhhWNd1FBdmhgnTCyxTiMcoHpoq3l/dIodltg3sQqFpDNMy1zQgN/E4+HAyOBXc9P5snP/vSWk1KbNjPpSlM32P1kYkzAPnHCo9T9d1rnM+2xdUHmGqiznLDaR0jaBh5FFVbauiovuAQJZ228ZHl5ZNlWmzGwrmBOZVK0FOwl7H5iXHdHQc86BAcajQU0yObHwmTTxpfkdcoYMUUDwKRaprTj3nxGzwgWKFYl6TeJT0lA+Kz/tghQQR3LJw81IFmCXPXV+hVEcmd6j/m7cZs9dVYMHG9KU0YGnTs9UHpW2pQarmxi793YIt+N88Xrg4/V4qFTLPqzj5y+Bno8jrPi+NX0n5U6m2ip9io/HnikwgEFAEGHZYue9EeZlCgqM5UAGVx8ajrN2MM3GoVG2PFy0tOTE2VzizGVOkaRnVoNgHjYne5qDxUx4PBRwOmmyYdFQcAnn+HuQkqhLBwEO7kkLucdJuDzj9K3TorguyeV8799UptaUh3sXizZVKHEMqYJ9JtvuguDVPlMeJlWFHfLvE+iwy5RzJI6T0ALcxwROS2P6zansVHiXayjsHAHbtq3NGlHHq3J8NpI4ZQCCgCPCvH1ZkXcJAvwn4+hxkD1Svm1meQKNSv3mdpgFvXHW0t0o5MNkh2bLT7YPCAzlxeNWgqKptebuxNK1VKcHNV0OEySttdbyKBoV8TOajuPSYDtxznx1jmCJNM4bj0enu6ndem1o0yeOcaRWZcdz12XwHMaBfZMK0KsL2vbW4/u2ZGLfUe3SZaHywx+sEg0HWt046mO+g74W/hAeZk6yu63hz8hrHcVZI313NE2Lo75v37MeRD43GqU+OZ+pwtumx75Y4Dx4ACAQUAVZu3+fYqaWKF35cgT98+LNvlTdtN1efco7pYu8YvEaV8E5XWavshQ1oSmhQZCYZXVcjx+Mtmuna4PJ2MeQR8smn0weFFQB0PTs0KOY98vJ/yDBvQ4X12a27s7d5YnJhCQuYdJduNZy5TROQU4PiLlBx+7Xk/IZ6F1+4RB8pI02mVRWM+GYxvl+0FVe94T+6jG0fa94kIxFJyPpWprRGo5P8Kvs4zLYis6yuG9qQ/85Yh6pafjJa9tC4JC+Pk0LCee3EZWKizlxG43vhZTXSOyk9McrIIXFx/w4Y1L2l5+vtMGP/bfB6R7zxpqRBsZxk3SMqzPPPf3GykkMv6YBrsbq6XqUGNxOPjsz4oLCkTzp034JsOmH6qcreYbuSAscx8n68mngsATAF4c6ty7kJoo7fGv9VpAQePXq6sL2q1v0kj6iP64iEgZr6OAqiYcnCL34xoqkkXa/SZMsmIRqyU1buwKezN2LO+gr8tGInLh/A8e3zESFnHVO6MvcQaFAaAX6zBsuI2mQgO/S7U9diW6V6IkSelkBJg0KcS54uunbb3lr8vK4CM9bsVi6bLDhdpGm8UtiiNQ8+KOoaFOcxv74b6YRKxMLwYzs52GBJQXPHXpUFjDSjGdeqOgmzihYdOla6ErU5j+2S+KNkgzbLCxwmngzJJ3tr6jFRkmbDDaQ/GYn6RAKPfLMYPe/9jtLGsZB1EZFQna65gufELeon9365EHOSDtkj523ijm32WlF/5NVQVRtLq5N1tiAQUCTItjmJJc3yg89mb8TFL09RPt+/BsX43/DZcD/fj8BFUd2rX+5StrvqVdOcP3wzfzM63/U/12tFYHe4GrTsiOJJ/i+LWAiHNJzw+I/UMbKPXPXGdE91mlcqa584ncctwsKrwPH5zxs9nZ9u7NpXhz0cvwURHGavDHWl69LADAw4x38sruOVZA4lU/PMg0yIP+UQfqLOP3w4Jy1Z1Xk9zA9PkInd1fWU1lR036Iqzn7+J/4POYxAQMkhxC0BxVtwLduf1+z0kPuEMxrUfFBsEw95/gpBhlEvKmgeD0q6wBv75KRz3QldrQWRPPf/3pvNL09Vg8IsqJqWHbt2nehzXnBou2LrM+sQyItUKS2yHVQL8sJU3W7gmXia5Mmt114f7ePfiRdJHrbvrcVj3y3Bmh1yWn6Ve6ypj+PIh0bj8Ae/9232y1RfmsrJQu0FIj8uso/IwoJlz6NrK7EP4ec/07xDu/fVYcgzE/DS+JXCa1Sg+npEmw/TvyqAgUBAkaDxlwcaXqJ46mIJR3haKnWSUIviSUKjz/9qLt8J0BOngF20bW5J08ty4xjoc1CJtXVSWSxUJyxuCvUsiOJhc/GooiAaFv42ZrEz2oPk7chP2myUzWMOEw9QmCeu30vZfnH7x3Px4riVOO/fk6TnqTRj8x7bJCuKZmHBdqdsm8vcQPICybKny7SMsnlqw27a8fSViauwZMteR+ivDLziVbWeqZhvM50DLJsQCCg5BMsfwOWtJRI6Bo4YiyMfHM1NY8+DaGDxJnIvPCghTVMySXkZc7b5iNTOpMkHheeAljxWmFx07Sged6guhKwAENK0rPBBsTQoHgUUWdOrOdEP5ukdWhQStPpqdTk1KLr1rkTItIDy81rDl4oXTkpCpRUkB4iqIssRed34XYkLUbvc+GCeGGUIEjIyP9mzev6HFdT3dJh8AHXhIRUH+Cx9lRlBIKBIkG2D2uzUe/bXS/06amJx7NxXh311cWytrFG6j0kr+I5uvHGk4lNCRdooiDReHrWpFiZzEqVNg8I7RvjTGP+ra21U28Vj3BVNYt2T9OB+8N60tfjV8z9h2141R2lLgyJ5515t8ext6dBBR325l0GCZ+Jx06BkemjnR9WmVpUF7SfCCdVvP2+oqayyRt1PhgQ7p9QTZp0jO5Y6zn/hR8MUI+sjmWbP5c1rqhqUVNzLsm1dyiQCAUWCWDbo2AmYHAnrd7Fx8WKodubtgkgL3gTqZdyr+ol4UVvar0Vr0DBjM/rKiwZlb20M8zfscb0/3mQq0qC05YT1quJvny/A/I178ISiT4Vfx2zZBCxzRNYIk6DqLpP37EoKo9L6Mz3J50fkApIX+NH2ODYRDbSqVezzJqAINSjE3CvbEMlNPOrt8CPK9Dmo2HHswpfUAhBE7VaLkPzlSCiBgCLBf2esz0i5fm2IoxYQql4v9Sl06L9+Pp9/rcTkIa3TXHCgZh7wo0HRMqFB4RT0E6NdsnlQ3CudsGw7fvWvn/DtAj5VN1umie17a8UJxtJwr6qh7mZVsnfIm1Rlz4YXtk35FVmJCZWa6FiI6uIJyulWVv9Vx3VWq8Qj2Fw4wraonEOcpCqssK+koQLCvApT1lhmjpOOsbLZIx0alJr6OF77abXSuSSuPb6L49hqF6doE6J2qwQLrBQEGhyICAQUCWav293YTaBwRIdSpfPIyUh1vqgV2GD92uptIUIt4siXD4r1j3+hT9d1TFy+3TJ58EqZuYaOVDD9CvbWOH0pRPhyjjxMlW3+wk2V4hTtadhBqb5XNpuxevmSHx0OnLqVv2TNzmrPJh52h33Zq1Nd2maXO7RPuVIdXpGnKqAo3CJFFOjTZNhQu26/tbDtTdV3jlemCB9MX6d2YhKdy4oAAM0KxFo6GXRd3LdVnKDv/XKhr3pzEYGAIkG2ZTO++GgjN0mrZvnSwUcu1qlOTLzxr1ImpUHxkLvHC8hwa793+e2CLfjt69NxyhPjAPAnjh5tmlHfJywzKKifHbtcuZ6IgLbdBK/9meRB8crX4DWKRyowsj4oOvAc4bQYSlGDsrWyVlo/Wa5XCn9VKAsoHsaScb4/NJTfAtmvZq/b7UqYJzbxeOufLFT5lwDv2Y0tbZ/PrqNp4rH9lSDVwS8pcodEIKBI4HVSzjTM5vQsbyY9j+zKCT21ycmvgGMPYkXWWw/VkFmdrct93uMYK69GnNuOEw9uhU7JHRPPryEWT2DySqeDMbtARV36kpcU6umYq1QTEVqh7TITD0eQ99rEXftsH6iQR62YV2dIOvljZsZ41EUgNaFyi/WEP4Z/TaGvy3zUY1S0qWI/zv/3ZJz21Hil69g+ZG4CAGOcd2jBz2wtui0vfcLLRsNvHSxEY3t/Pd/0mgWcjY2CQECR4JpBnaW/67ruiTbeus5ne6jwWmnSPfJzaj175TaOTdWDWlrZSdZDm0jtjO0k6+8+WZUqW0qTvLBVX6+2hmB4fDKP0um9WuO5sctx2avTHOWyJhE3Pxxe6ysFJqR0LDbqeT/cTTxbOGPATUND1l9Tn0Cc2MWaz0pVg8QLu7/rU9un6nCJaTRTOWpkpa7bWY2D//atkBOIRU09IaAonF9VG3PQpDfU+mZqPtwI6kyI2kX6EGnQcFCpQEAR9DMve8uqWnVTrVGnWUcKAopggyAybZlj4UCks5chEFAkKJE42gHA06OX4ZhHxuLNSd4drPyAdCRUOhFJDYrgtFcnrMLv3poptfd+OnuD8DcREgkds5I5dZRNPD5mUMq/xecMXMPsWNh2kPZis7bDO5QAANo3L8LbU9dyyz2yUyn1PepGXsNp/3OCnV1D+qDYJh7xOa9zHAzdZAtShb+zqpY636uJh6eiJ4UmNgGlzqmrIXHiEz+iLp7ArR/8rHT+xf3bW59VXluf+0Y5Q7kbSIVi8omovruqpBDOvgbTz8P4UXzfomrSrRmbs74CFdW00OdXwa5BHKHn5gt4w7uz/FWaowgEFAncBrVpN7//60Uey02tPW5jj1zA9uwXh/09/M1ijFm8FSPnpSnFexLvTluLsUsMtlAybFQGL4sueWaq8xDLasq2g/xu1mVR3eu6UFg8r1976rsb74gOHS2b5iu0OD1Qfdp2ssD0+aDkR0PUGOjRpiklsHg18UxeKWYa5ZWTTWGaKrdYWkSYFl3OFz2zhjLxNMk3UgxIeXASOp4dsxwTl2/Hos2VAJxEaSrtramPC5+Hm/BwVl915+gJy7bj1y9MwslPjjPaRgQA+IXoPdUL/GFMDcp+j4lmq2pj+PULk/DvcSvcT85CBAKKBGQfKlAkXsokzOa4ZTMm2/34d+7UzV6zK7vNHR9Ot8OzSeItaZkeJlBycHvJLKxWtvM7ydFh1GlAtEts1SzfoXFo1UwufBj1pOYY6AWqO1wriieNTLLtmxcyQoKGOKHzNoUhVROPW0oHtpRs8jf06iTrpvnKZOSXCnh5qliMnL8ZT49Zht++bieR3LSH5nai/IQE5SV03bov1ufLTaD+Zr487J/E6KSfWkUyeo+dD/xA9Brrkn2ZFURMjYvXqMoPpq3DnPUVnnNJZQsaf9XNYpCDumm+v5AyUcm+rrJMDeqlr96xD5sr1IndAAjtvX6gaZngQbHLtjlJPDcNANCDYWVlJwAdxI7JfPKE3wtvF8UzaxW5JK9bsLFS+RmkY6lRFoaS/6fiiOqsm31fOiWMeCXfE6nFyfro2mzs49Dum7j0mI6KLfAPL5xCAPDfmXJuJhG5ZEM7ycre/4bdzmSl8bhz3JnQBBKKEa1lfC5ICiimIJ1O093OfXwSy1RqED0dU4NyxX9ovzaTE8ktdQIL1WiobEUgoEhAj3X6RavG6VtX++AycJZh/C8ae+9NW4ua+rhj8RnhIQGWrHy2HTywu1lN05QcEeetr3A9x7wv3nPwu0NsVkALDmwpoxdtddQXchGKVEMcm+XbdT89ZllWhhJaDoEeNShSJlmX881Hx1vkeM/o6M4tpG1xalDsI0USSvyGCOJTeePkOV+7ONaKtE4N1bPMemR9maTuN8EupKyWlDe+1+2qdhxlI/weOOdQKwrPL1htCxmskG78kDSNz0j68JnwSznQCC5WaUUgoEggI0h65JvFnspKC5eB9Ynf6/72+QI8M2Y5Vb6fuvx26hd+XIFD7vnOsiubZamYB258b7brOTZLo63RMMnSvHIZmHCMe04x5uRgTkimJkU0Z+yurncsbjw+CLeqhdEnaVhtVGUh/0Rt6hoUXQeO7WoLGTIBkPfMD29fKm8MRytm1yW+L/a3VBK8pQtuTRAKKA0k/FoaFMn+jeczxLabJ7Cy6NqyifXZFKDZCJsrj+uM8Xec4tbsBoWmaZ43qX4Th2YZU4ZnBAKKBLKF/o1Ja6zPXsNo06FBEdU5eeUOx+SvWq4JN4I6kbbiiVFOO+cnMzekTd3Kzr2aBmxMmq9eGr/SV5kqDpQrksLFvmQ4oj3o+U6ydbGE454ncnaNjrqZqnu24fPdpMOfQLUMW4PiuQJJmbqjftNZOS8SopyQWaze4Z3m26lBUbuO7bbm7tZPnSaWbd1LfVfxEaO1r/LGiwUU12rSArMer9WxCzDNVSNuP0k5QCKdC/OQQ/kOtamZeLw9Ib9p4bKNbNQrAgFFAi8TA4lV26vwwfR1VMrwdLC7ivJWkNAc5bvvqPbXxXHlwE52GWns03XxhCPM85FvFmMVoVFQVV++PWUNquti3Elp2upd3GvcwE6MvNf88vhVAIBZaw21q2WCkEwaKo9QZnoAgLFLtvKvawQNSsSjhEIuMMd0oU0wuqT+ulhC6oQ8ZZX39+yoS2F3Djg1KLuYMFM/GPz0BOr721P4YeoiuL03kc9BQ5t4vJokYozJXOVy0kmWNbek0welZTM53YQfeFXG+dWg5DoCAUUCsk/srq53hMKJcOpT43H3Z/PxLsGRkXYNimgJ1DSqMlFd5ADZWLEfBVHbFp9umZv1X3hlwiqc869J1ndRJmUWb09Zi8e+XUI4yabeUlbIUHk3JDmcqAkqbZM5bwLAjqrUF0TVut3OUyRGta+jynAKgTITkIx8r8ZjxJmoHBOyhYz9yW9vG/DIGFfKdxJOrR752a8GJf0LHKsNMurxV5+7D4oT8YQu1KCw42/kLcd7ag/dFva7KRT5LtLz8/FrXgx8UA5gsH1CxPwo6gOko1M6fVBkaruQxk5o7mhWEKEWDBGDqVVmGuY6kr3RyyAav2y7cFLyA3ahVAnjU4kc2qQQOeVYbFSFBrXTvNUtOi95k955UOzP7KLJGnhYem8ZUdsbBCmiqhrfKQjS5gMR2Hv2KxBvraxVpnwHbE2dCXIx8+2Doly7Oj7iZHs3n61nE09Cx+MXHGZ9Z008PBgaFP45bN/oc1CJxxbZkCjgfIEX5eeGTOblymYEAooE7GLFMgl6uZ6cFH3vZgjJXdS/Q4wDlmjBJY93aFFEXcPSZGcaXoZqLKGndTfopsXggXaS5beedBROZ92AsYB5jSJzq1sEc170yoOSkC2qOl3/nz6aS/0sI2rbtIdkiPWX74b8LtWgKJXOR5WHTNcs2FBS2qfMrwbFd3OE4D06sx6vfB3xhI6Lj+6AEw9uZVzv0Gw6y4sniAqZt6XGXp3aQ0nFv8OzAKfr2LLHe1qVXEcgoEjAdqK9gklHtLMiJ4u0+A1Y9YnPYX1QRPUuJhZQXad3tLykeLx2pAv1HnYHuk7U72N+2L2vDt/O30xQcjvND26wNChJlhQeVHY8ItWxCqb58MWg6lI8zy+TbDXBL8LjlpE1QMXHB1B33JXtgGVyl9fQahKVNd74Kkiw/YDsSn59ULwKDH5hCyj8339cync0PiSZANV85CwDNq+4aat3KmtQePCbLZs0tXdr1cR5gQL8mHgeU3CoZpGpZJgNhUBAkYDtRCLaeNFilO5stLZpQ9zp5m3cQw08URvINscT9Hm3nd7DXwN94rq3Zvq6zs/Qu/jlKbjxvdl4/gcjz43z+bi/HGvCkpyqMgE5afUbDl6J2rxqUB75xp5MeWY0mYlJNQGkKTR1dVkknD4w9ve2JWJSwlR8UERZaVXgyKNDbjhcro03NlGbaeIRVHj1GzO4x39zdAcA9jvdSuRS0nV++//+5ULrs5sPCgAM7t2GbqviQ9lWKfaR+/62kzDv/sFK5ZiI6zrmKPA+sdfsqFLz1SOR2+JJIKBIwfZfU63+ySxxAr13pqyxPot2Pr6jeBScs+piCWrgndfvIO555ACO67azWc/yZvjtwM5K7UgXVMwhJsiQQz+7g+XbDGdFk/DKIZ4omDRsE4/7IiuDzPTghlQ3Rip17a+LWw7MqdTHWqNEC44J1WSB5nkF0TAWPnCmcnvIYuVEbawPinIVqK5NRUARa/Xcxt7Yxeqh0KmC18f9Tg2muc4cdksJB9yfVuwQ+nSR2gwSPO3aK1f0p77z+hdv3H+/iI6mI+fvcEhDUxeWaBa6Dnw2e6Ona+IJnUtVcKDDs4CyceNGXH755SgrK0NhYSH69u2LmTPtHbCu6/j73/+Otm3borCwEKeffjqWL6ezsu7atQvDhw9HcXExSktLce2116Kqyju/QaYh8qb/88dznSfDCJW7l5DqKROPgtnFDQliYZaVQf52sIBLgxyHk5bvwOZkLowzerdBOCROb54NUAm3di+D/UB/lSkMbBOPGMUF7pMWe72XXXeqOyOVLvjFHHsSTcnezhlHsvrNZ88TAI/rVuY4D7CT1Km1x/6saRoOa1/CPS+VZ+xV40TCKaDoxG/ya0Ws0ZmI4pHdoV+Tkin0sFFP2wSRfnb6D+8+KLw2+ml3KqZAVQROsgrYvXs3Bg0ahGg0im+//RaLFi3CU089hebNm1vnPP7443juuefw0ksvYdq0aWjSpAnOPPNM1NTYKrvhw4dj4cKFGD16NEaOHIkJEybg+uuvT99dpQnOlOXy89mfRUy0ug5MXbUTne/6Hz6Yvs46/sKPK3D/VwuFk4llb4VYCxMN04NF1GRyQH+3cAtGLdxqlQ0AXVr6s62mE4+e39dxjMzLkcquXsV5WATLBKEDoml6+LGdXMtJZdHwoz3yyutDclOkMgc7onh0uaOzeWufzd6IuYwqvLy4wG6TYqNkUTwypKJBSSW5qNPEQ372qX313RoJJE6yvNe7W+J8b75KSzhV9AEX+6CoaTDdyBJF1/HqzCQCAUUBjz32GDp06IA33ngDxxxzDLp06YLBgwejW7duAIyX/cwzz+Cee+7Bueeei8MOOwxvv/02Nm3ahC+++AIAsHjxYnz33Xd47bXXMGDAABx//PF4/vnn8eGHH2LTJnmeiYaGs0vIOwnbX2mzDv35klemAgDu/mw+AODb+ZvxxKileHPyGkwXkI6RJh7RQDr7sHb0b4IThYPLpHOXDL6GGiqXHNMRT110OHWM5ERIbVef/F9wXAazVpkwUxARmw6sutyrErfBx61/u8DOKaJSNykE+RGITJ8tBxke5JoAcnE594VJ1G/kZar0+6JwbrfLWfnHS3/zm3oB4DjJEg/LK6OoaeLNSBQP53nYPijO88cv284tp33zQqt/2eY9tQbbfnlM2wSvqglh0tOhc/uhm/CejvnHKxrKyTnb4ElA+eqrr9C/f39cdNFFaN26Nfr164dXX33V+n316tXYsmULTj/9dOtYSUkJBgwYgClTpgAApkyZgtLSUvTvb9sDTz/9dIRCIUybRmdwNFFbW4vKykrqryHgR7omkRDsWHkD4MGRi6zPImdcE7JhEQ3TibW8Ct7ZlrvhgqPaO4657WCqamOYsGy7g52SV4bjuEKbrDBYhXNlaOg5Z+oqOweKSt2kmcKPQGTumHl+yCpOsjzkR+wpy78GJVmPy3WpREDU++UmZxBP6Ji3cY/1fWPFftR4MAWaUSaZWOBUw4xNAUtMamh/DlHaSXfYGhQ1E8+pvWxH2YTO10ywh1jn2sZAhccsxibIW5HNh9kKTwLKqlWr8OKLL6JHjx4YNWoUbrzxRtx666146623AABbthg7tDZt6Bfapk0b67ctW7agdevW1O+RSAQtWrSwzmExYsQIlJSUWH8dOnTw0mzfcKqm5edLTTyS81i4Rf/IfFDCoZAnpzoW5q5AqiJtRGFe1CwyM/BV/5mOK/4zHc//sMK1PFGEhxn2yG+DRp3rpZ0m1u9yppz3Aj9LJ3mN11foh9fD1JzwiNqkYcaSMjsSmWmVidrY78Q4kiEVFX7P8mJnOzxqBQDg0W8XOxwq//Dhz8rtsCOi0g/e49GZ/wHgxCd+xP66uJAZmdREyDJZ82CayDcyTrSivnHv2b2szwldV/JDaV5EU903honnWp+RjiSeHrMsDS1pWHgSUBKJBI488kg88sgj6NevH66//npcd911eOmllzLVPgDA3XffjT179lh/69c7GQwzAdbhTIc3kjByE6W7SCjk7+J8GsmdCPGZhaFBoavipRsvLuBznZiDzm3w6bqOEd8sxhc/e/NGTxXsvbdulg8AuOHkbtaxmUkmTlm0lTmhsdqqySsMLUN+JIw8ht+9QwvDcViFSZYF6xu0WBK5ZNYjwz9He59syAVZpR+Tu7bdPvLQmHWsY4QxXS6fSAUPstmq3CyihJCa9buoHf59UHiOtyIOEBlenbjaccz0F1OBV42EF/Cev67rWLZ1LzbutgWGDbv3Y+ySrULND/m+Qx4FqhXb+MEVor5BCht6gj/XsgKK50SZWQSy75s5xXIJnh5927Zt0bt3b+pYr169sG6dIcWWlxtZH7dupQfQ1q1brd/Ky8uxbRs9UGOxGHbt2mWdwyI/Px/FxcXUX2PALTySBdXRiY97a+W7UVc2SE1sugmHNMacxG/zUk4eDcCeLHjD25x0degYv2w7Xp6wCn/87xx+QxTgx0lU0zTsTO7ElmzZa0V1kKp/L+WzrJ3/nWkIv7PW7karpPBjwpz0NIVJnzU/tG5WIDjTiTYK5/pNjugFhYSjZ6cy707T8QS/L7uGGUskFPKdKgsonPoBNR8UMmrIxNbKGvzxw58xe91uSTudx655M/VdsFeY1Ah+ODTcQD4/M+pva2UtBj89Ac+OpSM3NWjC8UgKzrL5x1vb+CWQfSah68L+KSrLuAe5ySpboTrb+s37kwl4ElAGDRqEpUuXUseWLVuGTp06AQC6dOmC8vJyjB071vq9srIS06ZNw8CBAwEAAwcOREVFBWbNmmWd88MPPyCRSGDAgAG+b6QhoMObLVdEdf8Q4W/Cg1s+Ddlgj4ZDDg0KT9vy1uQ13Os1ZhEWIR10+As3efcl2lZZgye/t/ugTFjI1DBTcZJln97Giv3ofNf/rAVDrkFQm/n+OXqZpyR0JFS6cc+29kbAT1SXpgkEFPj3QSGLU14gBFWZpgVWu0W24/5zDnUc//PHc/HFnE04/9+TJVVmxyTP5vVJJ8inZvorrdjG3/hU1tQL+xxZjioHjhtEMi5r5uQtxg4BhficIITrdDrJvjj8SABAxxZObXe6oBIJ9OOSbehz/yj8b97mjLXDCzwJKLfddhumTp2KRx55BCtWrMD777+PV155BTfddBMAY0D/8Y9/xD/+8Q989dVXmD9/Pq644gq0a9cOv/71rwEYGpchQ4bguuuuw/Tp0zFp0iTcfPPNuOSSS9CuXbu032A64aaanrJyJ/XdC0W1lwlN08SLo6FBIevVPXv+Aw3DQHj563ynaBn21cWpBZymnafh+sxdThCFLqrwoIiEDNPsJKtadeF9buxyT0noSIjMiCTMNnZv3dRXHSJTpBFmLL5u9fZ9wt8S6dCgkA0E8BiRpI6EpvGTPpJmhdU7+G1Nh0nFa+4vALjkaNo/7+RDWqXeEAEKiIgY2zTMfyd7a+od0Vz2xcTH5PUiRlxViPoGeTih62omHuKiWJqcn1m0TGprGztI4eo3Z6C6Lo6b3p/duA1JwpOAcvTRR+Pzzz/HBx98gD59+uChhx7CM888g+HDh1vn/OUvf8Ett9yC66+/HkcffTSqqqrw3XffoaDAVlu/99576NmzJ0477TScddZZOP744/HKK6+k764yhNpY3Jp42mAX1hRchkn5t1i/s34FlKlFUu62vTXYStApCyNMSD8VQRhjmCQKkZQlgoytlrTZp2cCNswrZx7qzUv++hO7Em3yv+PyqgUy71/Fri+aaHYqqNq95r3xA5kPjIlUCfF0iDVbstf10wp+OCpAv2f1bMY697t5eQ8BmaEGDVHCD4kXArt0C/85pjI89iXzGFXu959w0ER+MtydZwJNFV1b2oKra0QUNBzVqbngNxvmO1URoGUQalA0jXLEVXGSJctKJMjIoZSaSLcr+X+69W65Hp3sjaMXwNlnn42zzz5b+LumaXjwwQfx4IMPCs9p0aIF3n//fa9VNzrq4wmr836bfxcA4CDN1pqwHZbWoIh7yjEPj6W+u/UpDU5uCftaendqxPo7zxUNrhfHrcTNp/ZAunQon9440PWcwb3LPTn+Nck3Jt0TerSUOqy6aaXcJkHHM2Ls41INjGSCdEOmnPI8+/wo+mqI6+Nr+gwBV9wWWZZi8jrVMGC/Pig6dJQW2c7k0bCzXaK2ppJ5tmkyIs3Pc2cfq9nkzCxURqH9OzXHThdh/7mxy/Hu7/gmfNoHRUE9qQBZ3whpmpXeQyXMWGsADYofx3sVeNHMZ5PviYkc9k9ueJBh5Ht1p62QtUmKwozdIGaStY+L7In5kTDtg+JR27GvzvC0545vgeZAFp3Qsqmhunz2kiPUGyFBeXEBVb+98/Bu4nGzyYpszOQcKnI+dNeCyPxXssP7jvR5AoCuHv1QjB0qv2TZu4kIfELMMk0ou6C4+KDIriM1D7zFSdTWH5b4z4lj+nP4oVBnx4Fq4kU/IAU9t5burY0JW0BpUJKPu3e71AIhZI/OHPexhO0kS/ohsfMvOZTjCd2hgUsVT//m8Iy9J3Yekm0MrnxjelrrTgcCAcUDxizeak2QYxJHOX5nOxeVi8dDv3PVoAicDwGnD0pCsIvdsJuffOuOMw8B4M0WKspQCtiLwOHtS4XneBmS3Vs3pQUUqQZFDlcBhXkGmnXcFNTE16dipvGbwt0Lerd1XwBYTcMRHUup32WJ9szrxRoU8XWyPDbUK1M18TA9wQuPBak1qecQXfG0KqnCbF86/BFMtt1Mb45TMXeQYegqEXIqUBl//52+zpoDSE0YWzdZFjlnpMPEc9VxnXFev/a2+TDNCpo8xrS3WaLZy8ZkhIGA4hFm5w2DjulniYLIcwGPkrGCD4oMZuI/AHhx3ApucWQ6cxIdkl7kvN2lHztpmjS2FnTiSWqalpK2wdXEw9at08fldO3846ZQI7s2E4seQL+DZkrJDOlG1tbTs+e5R/AzZZtI6Dp04pJ+SQFH55Rtoml+BBGpgJK6BkV1LCYSOkoZki6jXrtmL6yuqjC1Nn6EXKeJh/abqYslsG2vf/OThbpqQpOgKWbv5j/32pjdScxSUjWlqDy7SSt3ck3lsmzS8UR6dRyWtszaaKVXkmTNNqpd6uHI68A75wHx1P2gUkEgoHiE+bqLQKv2V22vkpp4vPTqr+Zuwt4aMbWxBg2Durfkt0/XKW6SypoYt9OLnGwtHoIGtDL4Jb/TQGpQ/Jh45JMge7klvCmQSbkJTrIorMbmV7jvywW45YOfHYyr/5tPhx5+M18eishqUMLE7lj0bp6/tJ+LD4r9WdkHhRVQGEFThDcnr0FJoe2DwmvXyAyEYxZEDc2Un27APlZWwzj02Qk45uGxDoIzT/4HWxcCj7RFn9l/h9lQlbaq1GAKFqk6yap0jVlrd2PcUsMhm8wkzoZmk304liDNk+pvaMihfI4vO0mi8UEY6aSIKoZji32MIooLdv4cHhkLrPwB2NC4Zp9AQPEIs7NeHBlPHc8LhzhOsv58UH5asQN97/9eeo5ol63rzrwNvMEuyhViLqxSpnsfg0h2jReGTZLNV9NcTDwu7XSbBNfupBlQzXBUld2O5jKyRFVryFwUj8pr03Udb01Zi6/nbsKqJMeKqDVuOaPYKAnTp0KX6DA6lhXJTTykil1auxikBk4G0/HTJGsz74VsvSw65tzQT1hTcBmKIQ6bTqV9KiCfpa7rWJkM4R610E4rcs8X83HMI2PUydwm/hMA0HHNx9YhO7JN3MlU+p/Z3FSz96qOofemrnUcY/mZyHvy0q6mRPqNg5rz2aFZ6oKEDqzb6T8Nxt6aeqzduQ8vjluJqtqYYyP0zXx+OhnhHLxuqu+2pAOBgOIRokGWFwkJd2qAkyMlFUiFB86xOEdbInQctCJVOCYeH/Olyk5INGh40HX2HsXaDLf2es04W15SQJUrDzN20aAInoumoWFIaASgQtldkry5lgVbENM0UrATL2RuVfkiamPb5dHJkX3fZNNlAsqzef8GAMwruM5T+0zuFT8+KA4TD8Wcah8nzWjvTl2HHVV1eP2n1WqVhGmzF6nJlEfjOd95MapQAlubY/OgpCigpLCysTWTTaGcZF3ez/OX9sP5Rxpm0KuO68w/KVmGKUhu31uLe79c4LHFNn5csh2Dn56Ax75bgn+4EIKSGL1IIKCUNEzeOxECAcUrBOOGp7JftWOf1ZlToYT3Al473Kj1SWiOD3yoTh+mY6FsV+wGcieiE5XTJh7v5bJOj6qaITtfiESD4lKGaALWoGVOg0Ly4wjO8RKS7oaEbk/mIcJfSJfUH9KcJq4v59j5nsj2DenTVqkdzlw8SSjeF/u+yVdnmmPSifu/WmjUu2sFDtHW4X95d2NYSG0ny/bJEKNBMcEbj9XK84TYr2E+kXnZDVHEMK/geswtuB6IGdob81kv2cJnpFWFyhhqW1LA7Ydsf2FNPCpY9o+hOKVnazx10eFY+o8hlnlY1E6yveOXiXmA3DBn/W7Lp2f66l3KzOf04yKuibrnBcskAgHFI0Qv/Jb3f+YeT6eNmh04N5zUjXOOWlnDB3SU/s4b3qSTrOpibgoBHVsU+WYkHX6s3VaWB8PalftwXWMnG9ak4waZC4togjS1By2aOJ0vTWRKgUKa/kQkdeQjMTMuL9joPSUBYNynWV6IMseJw4wNAYV+AqTd3Hz/3Vo1wc2ndFdrh6Ndxv/qGhQ6woKcAz6dLUpI6V8DUBtLoG7ZD2j+n+MwKv8uHBpaixfynrN+N/PeqCCkoEExodxizstTEQjYy4aGCP+GfTuS5fCvDSGBq8Lf4VBtjVITVcxjpUV5Sr5r5HOLJRJE+L2Nsw+jhWUzekbTNIssjwfbB8W1ud6h8U3JvHsm+4Mz3WzjIRBQPEL0ujbtqeHuNOesr0h7G8x6eG4oqt2pmUs243Tv4jVNw7d/OMHftaAnWZLhNBUmWdbE89fP56u1R0WDInh8X8/bhKP+MUacI0WThwKmCyJBmzz+1hSnfd5bHXZ5mkMzIjZxsY+OjB4y3/Oww9o5QihFEJsz1fq4eZZ5L6T2a0eVU9BLJHS0QGoagNVjXxP+Js12zZp4iEdEvttvFzjNqspaSMbByojicb+MLT5Pc/owibhfLgyPx/3Rt/G//L8qNVFlwVed4cgF/YNp6+zriZsmM8bLNh8s2ASkqcIpXDlfKm+uJDVqYWSGjM4PAgHFI7wkC0w32Kq5kSIN0D6nH4j8XBNehJ4yYpB/v8ieTNndt1Wkj/tmPd4rJZFTXQluEtKXgsWvDm+HV6/oL5ywl22twq59dfjXjysAOH0YNACf/7yRc6UYCxTV6nRWVk9VKOOz/zuOqsMcLyHN7q/GcVEbncdIEyVZniqcgqQ33xpbS2cgxuFDIVGfSODB6BvqDWTQpWUT1NWIHWtlEWLsnYrGHBvFY1yr2Cl0O+IlghjlrG6ivbYdT0dfoDQebEj2Xp0QtFaNAyB+J301Rf+YJFTnmqF9nWbCNsV0FnNyzp+2ehd38rvxZFubd9LB6vmPzDGZrg0hlacM6sEDpK9SqJG1JiQCAcUjeM6NvSVqx8yo641SeZK6atcST/DGD1/N3eT8hVrg1Gpq3cwe7F4WlaJ8Wy26ikgeR/ovkLttXmtq6uULydtT1lDfZU6z3VqReUfshZbF85f2wxm92yhPOOx5fuaps5//Sel9kH1XlOQuVQH8yI7NLaK5BCFM1tQnqMSOMhOPrJ/YJiP1B+U3zJhsk3GdcaHJtixCLK7jiNBK5faxuHJgJ/TdM074u5c+Qpt47AfBY8BVfvXz/mt9LIZhBmSFpn9Hn8F54UmUxuO3r9Mhq1v0FvaXL//P0V4SXhdNlblGB/DxzPWO490YUzT5XOrifBMP6SfnBWYZ4TQJKIVUAkd+1ns3DUoo0KDkLky/hTkJ2//jm/y/erIL+wXbr4Yf2xFn9aXj61UnmdTGAz8LKIu+B5WgdbGdJNKLGlM0YOn7s/0VePfNakhYVDJhsqqOeeRCK4LqAsqeJtsdX3dCF+Fvoxe55zJSiYxIB+MomVRv9jqnKUvXxc+O54NCX+tHg8L/zquH3T0DQJNEFQaF5iOhSB4WS+jIh236GRnn56ARIeJC1OeFAoBceGgfFJ9T//4KunzEqQgtEz00dy0gz5SwW+AbFSeWqj4HubMgqxLH1XM2JZ/PpttOPrdVkkzbZLmqYMOMUwXJj0X6gJHgjb0QJaAQv2+em56G+UQgoHiEucuu1umJTNTBMhGQYZaZHwnjX5ceSf2mqqb1w8Bq+k1sraxFfYyeXLZxmGlVVJ0rtvGFAtEEQ5p4yFP8OMn6tfvKTDxW2aptYL9LLpQJhf8cvcxx7Knvl+Koh0bjzk/mUYkuZUiHCZPM9jx2sR2+SAqTYg2K/NmRPi2q8KJBuWaQUwi8e/MteC9vBLqt/UipvnhCRx5s4bgGTqFHBrc34NfEQy6cUZ4GRaVxdfQCfXp4ttEe5n3EFZaWMs3pfP3hDKdGAwBisDUDF/Tlk1SSiELO0QMY/YAn7Hw8awNzns797nX6eOCcQx3HzLmkNpYeRmLSZKxpmjDVBIuIyAdlwhNpaZdfBAKKR5gEZ7yFJdP+KbziQyEN/Yk05qnugFUG3X1fLXQslic9Mc5XWXtr+FoOUWI6w8Rj151KmPHAJAGXd9gaAuEZyv4NjIlHcq6M7ZPV/ui6jud/WIGd++rw35nr8dHM9WjVzH2h1NOg3bVJp3TKlLBrnxFKuremXvy+OP4MJPyYeNil13Ky5hTBI0BsW28smp02f6dUWyyeQJRIhaF5FZ5dOrOXWxdpUHj3qTSGltMEkmeEZhltYk5LKCwtr+b9U6FCJMu3G9ekRs6bdE5oEv69aggw72Ppec0KIpi0wp2fSjTORYKi6DG2LSlwHDM1F2lzkiU/izQoLiYeLTDx5C7MBXVgmCbByY+EubvYdHU8qkzm+8c3DMTVgzoDUF+oU80oUcc4Cu7n5CRRufMpq/gTxF1De3KPr9mxj9oBk9waXlEsiGTigbwX28QjOV/1vbMmHsl1qeTo2VlVpySgpEPIJjUl5M7MDFe+/2sxgVTIhanOl5OsQIPi1UOspt5IG1HskscoltAZO763Z+p2NiucVdXGMGvtLm74NvmcSE0A34yk0M4wPWb2oYBr4kmk2fuumtBC6bpzriE1Ic/lvWB8+Ox30jIHH9oG5/cziNT6MYkwSbCLvNtTEu0jZEJ1XgpjuzMRQSTS9lDHOHcg1KA0MgIBxSNGfLOYe7xNcb6rU2aqeGMy35Nd0zQ7z4lk+Pwj8jrui7wFQE61roIWnCRqvHa5YY3AWZPMgUKisiaG2UlTExk94Gdd9bIYk7dCmjBShRcNysVHq7M68tqmkm8lHTpAc65L6DraCXyzagQq7ZCm4ShCI8jCvC9PTrKCMnhFyIrdUlmLY0eMFYbCmojFdSzV7XeVrqiI9to25KPO0cYLX5yMC16cgo9nbcCizbTZhCZqs4/nJTVb1XUx7u9CNKdNYGPjhomZHeulmjd6fxOXH8vnZ9qkE74VnFHSq9zdL8XEuUe0A2D0oc+SEXM/r6sQni9KHig06wvK4Z1v9mPVkHkerjqusyWgURoUiKJ4OO0Q+aA0MgIBxSN2V/OduE7v1SbjdZtEW/M27HH8ZnJnLNrktOsCQDl24vLIWFwdGYUC1OLFcf6jDACgWCBAkFBZQ+pifKFOJtx8nmQWNVhXjWN+NEJ+6bTNlqUj86jDuVryzApTYC3VoGb+UxXa7j27t/A3UoA7okMp95zXJwqEbThJr3jt86KYdDLJ6lZdMvDkkK2Vta79pi6ewM8JO+zUq4lH9Ap+yv8jlhZc5fjdNO/95ZN5jvBhURSPqY37H0EkKQuztwuhzwkhkcwqbqOj5u6wLQIZLUeCfIYaxw7p5Qnb41ft/PFLaWZXU1ssElRFxfKEarMIP9rRlk3zcfZhbXHpgI62uYmRULg+KJyyhGHGIXUtcyYQCCgMJt11qvT3fbVxeBkOGfCRpXY9JsxMsxOX7+Be01Tbb32WSciqpgmVhUzFEbdelpNGAHIHI4vicYPfjKlmAESqmUcBoLhQPTzR06LMOZZOJ1mRhgugNShmaYe2o3e463fzWXtDmibVUKxJsv160X550qAQny84sj3zm3Ghq4ASSyBC+KC015xj8kSJA7mu69idp0bj7wbyfqgonrDTNKqUEytBzz0RLblYJx9mc1RiQv5tfpoKQDxfUiazhFP75mUoqhAtkhClChG1VbhxkWhQeE7LbqiNxfGvy45EfiTMjSxMCHxQeGNHGGbc61ee25VOBAIKg4Kkqu1wbQV+yr8VZ4WmUuRTpUVR7gKfjvBMVfjxaynXdlufI1DPzSOCyoSg0kyRVoDcbcjUn6loM+JM2KjMtEDXadTqlwKeV5YJkdMw4DVyxV8fVX2MMisHJTQKhAGhGtxlRpqbZGZ+Z9wC4N0LgTnvu7bVa9foe1AJAODCo2gB5ZjQUgwMLXQVUCpr6ik7fv8QxzdNcr0OYGd+epK0kf4h5OLl258pTvfPPMSMe0nW0VXzmdqjoBSARPtA/DKoa6njdy8aVK8aFBatUIGbw58jXOtt/PM0KOYhP++DnCvMMUdqpNfsrFai8ifbNjC0EKPy77R/+NWzntuVTgQCCgPzRb2S90+013bg33nPoV2JrYZfuKnSQWSzQW/pSWpOvY3er3k3b4T1OSJxgmIXbRHUNCjuOE4QSUNey8sbAoDK/Fu537vQxWpQlB9rGt8pT+b4u8B8kkq1mkYLLc2L+BoQVc2EzAeEjOKxzSkOb2Dr4++Ot/0aNKgJm7cWfAOsGA18caPwHDOs0+k4aNbFv4dPbzwOE/9yCgZ0dfbND/IedhVQLnllKqVB4YH3+EzTlq7zzRh+oAm4gkRjyhU7aGErz2SSTX5vp/nM2p68X9GrJwW+9l9ehLPbMsKBDxuP3z3ljIL/w5+jH6PNiwdzfxeVy3vi5rvx/T6Ystnnxx3PnEOmRu2DvIct/6FYKB8oUPftyQQCAYWBOXE0gc3rQbLzAc6OFkVMKo3PWrsrTa0zsGyrk6baC8KSyZPHIMuDyjrm5kwoK4dcAFnStqM7G5oODZpF8/5fDiOksy4dBVG7y8clzLEsyMUsnXmKeGWJzCdeJjHenZELq8i8JVt7T+hhOyrKHoFN1CY2p4iTwgFatXiRM7VcR7Zyf3emds5h4pGEGWuahrxISJh9FlAz7YU1uYDB302TanbxGPW0FhMaFPL9mzv2nZxcQlKMvpf62kEzeG7M+3k0+qq38kwkTUfixZ34pbYS9+19gPrdyzMx28oSNfrCHk6ySIU5zT5m/J9KtnfA7sts3+TLJ86DXCZcLf2Zur0iEFAYmAtRU80WUByTK6OBmJU4WLjzDGma1ENcFelwyDQRlUx+MhMDiXRxvggne+KZs4KOdYkGJR4DE1e+MYOKtGIXaVWfEtFUQob7qcJTJEmKchF5uyItgKyf3fcrW7Mjm1BtIjvCsZE5h/y+o6rW+pw/5q846NU+ODU0m1t2UXKzoGLucjvF7+NU6SauGhTJMR3p06AA9rMiUzmYAspj3y1JqeyrI6OMcH9zY6fVSs8nUaETXEcu98uGvjaP0Y6rwn478k8O9lvzOW+tVG+rEHM/UD6VN2TSlSzQLIcd13wfFOexojyegJIB9b9HBAIKC0knsk+h3/BZ4ekSz+30NCs1eYA1ZYgLUxU80uWDIgp9JZ8bW45f4WjT8p9xtGZPyOOX0ZOcTHvAI4djoaIxUoHfeYGcnLhhxsRBkQZF/mjVtEi2EyIpTDJCJvF5OyGgRGa+AgC4O8Kf+G3zjHsfsNrInGprdfw9aBWq9RaQ+yfIBFNdZ3lU/IPUoEwlOIf8OGWK61DLZmyiuCCCMOJ0KLKLgML6/ck0TBRmvg6M/jt1yGzrzn1pEFDCTm4h4bPlri3252O7tnCeoAgvJh6eMMd7f3qgQck+uHn2A/woGBnbYDrI2sjyj+/uTvVMoiUzWZIRPSzmrt/juT0iqETxkOvk4N52qLbsmSWsRcobxuT/BR/nP4h2MKIq2IR5Mp4QXQdQtQ14+US0Xc5fPP28Zd59+klDALgx29KJw0T3qsqOK3WSJcrSmWOqyHOlKlcQUEL8M1PV/bVu5mQEZWs4PryQOlICd7Ms+Yw0DhmZHxih+EbJf/l0nnU8FdI/UT2q6NCiCD01xiSbjMwRaUJYdlN2Do4knKk2LMx+C5hos9aabR3HhA+L0EmmGY3YAsr9v+qNbq2a4E4BySRPqN9OmNj8jnuAMPEw45pP1OYE1xQUaFCyD7xXkjflWeo7b3cj9qVIj3mG7Hded+olGj053hH5r+BM9wR7JtKlQSHNKr3a2jtT8hbZxdTOheHhORD1dArxeRpkzo86AIx9ENg8F92n38s9h+dU6YZlnASFottyY5skhQvWzlxZU4+3pqzlnkuXIS6fNBGYvDs80D4o7pqaNsXOBT9P4/dD877Kds4iGsb3o2CzENt1i31QjlV4h25OsjztzlFMJE9eJITurfmcH7qevoyymsZPvOmWkNBTHfCu9YuxS49HEw+Jm8Of44llQzEwtFB4DsbaPite2yqd61aMtT5eNagLxt5+MtqW8MkJedU+N3a5o135PkjbzLnQ4YPCOZd/PzxBpvHFg8ZvQZbBfNFVuj1pRsc9SJ3TWqtwXJdfK3CE1TQHLbwfkAtKSAOwcyXw0vHAgs9cr2Xt4ceG+Gy4XiDiBiChIkeRwgedD8L+7KAqt87xgJitzq3R+Sy4vBT0FGrl2Y7/dlYvLy0CAGzhJFlkceLBrXD1oM4odWHvlU2kL49fRX0XCQ88wcUMuyV/k63RluaC1KAwj3ZIHzsLN28BddOg5NURmr5qQyP2v1uPRzPC2Y80NZHgtWn2vWfguz+egEPKm9Enr57gqDsa53O4mOBpWEs5GpR/D6cTfZIC9+4qcb9Q3fCcGpqNrh+ehL7aCsdvvk087fo5DmmamH+JB02zc/jY0KUdWMbd9Ofox9Cg4+HIf5Tr9wJpCPPyUcrlbNgt1lwDtkDdmpNR2w22iYf1QVEz8fA1KIGJJ+ugWf+LO+UP+X92HBu28E/cc0MavfNUBcv9QQsoGvDVLcCW+cAnVwOQOy2eF/6J+k46ALMwI0VYIiky+gVw+m/woKKyJHejIr8TdpD5YRNFvb2o1IC/0POSeZkwOD3kgmYTnie8D7TYPR/HaLYQed+veuO+XzkzocqgsobxhIx6jjDtYLuF0U9GnN+XWy7JJGv7jNBoncwLdHz3ltyRlufC1ROLEA6WVUYkyaHtSvDgr+3nJMo6zQszbtEkDz15dOkbZjgO9dz/s7RtvLnj4JAz2qMHo0GxnWT1tORD+U/ek8jfswrP4zHHb5GQz6m/40Dpz9t1d/8cDRr6hZxCk2x8hTT3Dh2OqI4/bxJKuuITYi4UDlZ4vuS0h861+3dvSuNsOsnS5787dZ2jDOXbCUw82QfznXh9NW33zueXB80XYylbf32M9MDXgAq64/01uXvnUe6fHJorrauQCKm+c4hhP713mK0N6N22GJ/ccBx1zQQVAUVFg0KM/jZ7F6GPtspxLSt8xRPAfZG3MGT7G+4VmNfU2QKKKJEZKSy9f90A5lcdMhax2feeodwWOXScMP43+Cj/IbTXjGes2hc37N6vlG/HxOhFTubQd6eudRwz3xFLld6T1TYkoVkmHh3mdMia48xmRsIadwEgNShknzbPTYQJIfOnp+26OY68zh2wBwF3xuuOQ1XgZ9q26uUsAYVwOmQ6TJSEQCUz8YQ8+qeUYQ/yQZvBfGtQuKu1Xda0hLsWUdMEY1BPSHhQ3O+5XlOjZU+riUfpBANuQ9My00hOPFJAJikKM+ZBkRol0KBkI8wJznOKdFF5Pn1Q2EFEmomaoAbYQzuZmfPN2p3OJF2ye3k1+iQWF1yDc0KTAQBXHtcZAFBAMLy+ec3R6JNU86cb5mAsRA0u+vkKjMy/B3mopxzK2jenndTax9bh6sgoDN35lnI9sXp7wRPNTyu3G88uGtZwXDfaEbk2lpAKKCLiM68gzXGdNEOAUPW1Of2f43HHJ/PcT0zCvF8SvDxPpmBC82iInb9tJ1mxBsXSgoGvQidD4V3dJdZNsevmOPKKNSgc7FoFvH8JsG6a8b1yo+OUSo3vO2K1gXM/+0Gr7UsKxeY6HXKfiz/seED4mwhLC66ivruaMz2AnN86aCqaVeDI0HLnDxwKexNuYdsAUFWvdk9mvxDliQKAGk52diG2q4Vq88wtN59C5mwyoGL2ZWFrXxQEFJ6/CVdoCTQoWQfzRRdq3giMNhQ7bbOA0en8JKVzxrPb39vVrmJPx+fJrJzLtzlt3TL77Rlhg2/iubx/AbBNS+RE79e7XGVhNbVLTQktThFqqBpLmcW/bVxMp71BkOMlFiMFFP7zMKN6eOayict3APvEk286IrUAeiLWmP8B4NlLjpBe/+lsDnGUADzBmWeONLsiS/Qly8cDGOYikQ+K+YMoXJlU6W/ba2sfzCbrGqHOZ3guTLj7oDB1b5kPPNcPWPYt8J/BxrEjr3SUq7uGxDp/J4kfAeCOMw9xthe2aUymQTmyZqr1eVYys7cKyEiYsF8TD2fs1CUzU5diLw4POecmHso0jj+XnhBqN2TcTVY74GLiqd4F7FiBttXLUYBa6Ra0luBLct1gfnada9sAvvBwZKdS67NXlgKyNBEPCrcdXGHEeXDHvhgWM9mxGxqBgJImxAXqxVBI85VUrj4uFlB4k8Rczs7XhB9tELlwmB/vGebNCVRlwJkDKk50xTASVP2Pnn8Ydc2D1Q9Zn1nV9YNfL+LXEyPyVrg8D57TplGIR9ZNHyB9L0w1OPkszj3iIKVy/Pqg8CY4WyNC+AuFNHRp2QR3cUIqTf+kuz+zzZ6skGv7EWmuRnEe0eGGDmcTjbYFGFLosAjgZBqUCU8CX91qHHzpeGflzcodh9wFFOcNFTEEZi2aODUolFlT0QflghcnK53Hlins424QOFafeWgbKg/PVr00+ZuGN6KPYUb+DShDco4S1a3Hhf1WJX+YSbMv9IN5vAvwr6Nw07Kr8XHeA/K0HkQTXYfSFr55nwXP1K9R8yz/uZxzeDvq+wPnHIqSwiieuPAwx7kV1e5zlKqTbAIhDH12omt5mUQgoDAQj1t5N5X9mg5qdDfBWM5L4b5aLU/QCx8loCT/79/ZG5GQyl2bg5baDYDeSXUsK8Jtp/PzXjQF7Rm/cBMt8e9J0lnXx91NPFb9oodZ7pwQZCDDplXBU2VnyleNJ4zwhOmDmhtOsqRZwnxEN5zUDfmoQ09tHbihipa6gj5uVh1yl0/o8pJnUxoUASqq66lrTCzZYvSRVTv2AT88ZPBkbBI4vvLSzbs4O/L8JXg+KCwoJ1kXqnwAiHmMDiQFlHQRSAJAIpHAqIVbkSCWk/djpyXr0XFKeC5aaZWYVWDkTdIAvBIbBsDIY2ZBIvj1Da12bUc7qLNK9w2tobSFZYzASI45V2G/8wlKdZIs1lY9gs8yXHlcZ/x87xmU2d0UbnYpCSj0922VNbjvK2eIdjwLxIPGb0GWQWTOULGB8hDSNPST2DpVIbUtxuqkQtCH8VNcy2c7Ix1RozmOqUDJxJOcZMkzI0g4rhUV1bcd7Q+wsYIWWFZtT5q8qCys8hlHSPdP+aCkybWfAdnPUonkUMnuqhpmfPtgwxxB8naQ/e3dvEfwXf5dmJvvVHXbyQL59fj10RIxiZJlmRFpbPF//5LDl1EvCB2OODUdusRXAuC/t84an3uHhM0kq8aD8vU8tbxZJsi+ZQrhzQrkgp7z3Rjff07YvhPx5Bgm2yzzX9A0oFI3/Momx4noNImAciQv6gdAZ0Jr82XCcORXHTdkXz+lZ2vheWYfLsoTOI0O+oNSfWSmYRMhBQ0KD+wmyvza3IWKgIdbPvgZu/Y5BZvAByULIeoj5uAWThwiBsQ0veOR8+yBGAczUCrWScnb9rhEHQBAzxDD7MgpzqsmSOV0c1dRQtBe8zQ+ojDqu87oIi3flOt0Ytfr2wGaEFD8CqxuIAnKzDoypUHh2qKZYwe3acr1NSFfx9FJErISrZoRBMW7T/Ow1z5lmWcSAiI3oj6zzyi9bWH4iJOTQtPjaIk96K7x/X1aaU5za+/QWuvzMV3cNZEqi+zufWKumMM53CeUf1PysV/cv4OwjI9mrMdR/xiDuesr7IPJ5zQvYY87U+tGCyhiaLDvL0bOZYqZ1E00QzU+yrPNvfW6IWypCiiy6EqyO5ifWVML92QJamNy7ShvKDRHJUK6u3nLvFQlYpTdhPAc47MFgYDCQNu3HQO0xdik05OI6Rsg6vy7CuyB3goVOCc0GVHEENLczTMq+Pc4e8JpXs/sxsJRqU1Z5iQrQiq0y3YZ7vjPJEN1+3r0SetYiKPePlpgXmq+24haKRbsBK0dYIL0QfGJsF2HG08HADx8Xh+EQ5oVuq0C0tZuClJ+HHBV5kyeOYc1+4gECGGbGD8dkZOs+V5Cmj9xkQq17WiHwJOaI0tAUaFP37eNXxEvpDcRx8yCGzEm/y8YEpru+PnPkY8kLQdOPqQV97jtJKuWi0eWlqBMczo35lF9y6iL5bghn9VfPp2HXfvqcOuHpPnLNMnaL9TU7pLzzCEc3hfyetMJmhJQPCZIbIr9FGmmNV4Ue1Tl9k1YU3AZ1hRchmZ1NNEc+RzMT2zkk04Y5VTA4xgixxe7B+uprcPPBTfgmWWnu5atEqJswkl8qVufSHQPedPQZQKBgMIg/HRP/Df/IbTTaGZYkQZlQQuD/2J/2OaEmFHwf3gu71+4PjwyORGkQUIhijhvJ5PS3IWt1o+pgLbB2ouJtzKc5x/aju+X0TVka4h4AtUxXVqgMOpUsbYad2eyjfK2JIjdmW8a8R22kOieKwY4smNzLH1oCG48uZtyFZQa3prMPbTRA3hmQ94kyoOwSayAYoUTa+jXsdRZtyZ+d6YPTzuCQM8SeEgNSjF/Z+umQYmQ/WDKC/yTOOac4n1rrM8v5T3j+L05L0KFbJdQ6LM/t+IIGCxkfZ43hqKEgLKpYj8+nL7OMW8cO2IsljLpF0hByBRqKQElKVgMCdukdkc34Qt8XbQtRnLB5LNPQLM1k3pcyTRpgvXTuShisP6qznf/iNrMs39adQ31Gzk0zNs3ye0q9aRQV1iaPEGtPp62KhSvAx4sA+4vwVOrz6N+ey76PPFN/lzMOUKFFJQVbM2v6SAHTDcCAYWBKM15VKBBqY6auTuMt3xReJz123nhn6BDT4sGhdztJlgCnUQMh7QxBCQjKRmzC2bavCIhUFUSIKdQSx3vsbfw5uEvbhqEGX+T7whEAsRJB7fCodoa+mByoRIma7RCUGyBwo9GCYARfppEVEGDAiRzniQSuLh/e6Xz83gaFB86H5U7LGtK26u/mrvJkWNHHAYsaNPSb7mHNQ1oSjDtkiYeUVufON/wT+CNn0ic4HBJ8IVFN4H6xvBX9pdev+KfxDElPai9JC3XrX+JzJVmc1vutXk1SFMKC57JwG6DcwxFCfPhO1PX4q7P5uOFH2hT0NbKWiqpIIu6JD8IKaDsT6a9uCbynXVMlOunDHsoE08CIcCczwRz722RT7jHRfOE6kJLClTN4hXUb7yoSZPczhRsNZMsUNHE0yNvF16NPoX+REb10s0TrD7WNEELpf+JD7U+57tuiIy2fc8hXwSAR87ra/kb8b2KUpgXM4hAQFFEVDMGpqPzk55tAJ6IvmL91D20CbqulvnXDWQZhQmG6yQewxm92+DM0AzMLbged0fep362yJNCRgcVLQmkypuc3BN+NSichTUaDqFVM3muCdEEo2nAS9Gn6WPJSU0kBFptTpD8Iqm/j3xBMjsHJjwJPN4FN/RRmzRJDYoZ+eHHB2VThTzvBwD0PaiU+n7rB85IFpFQKmzTFzdQXy2fEY3WqJFRPCKE9LrkueR2Frgz8gG6Ln/TPkb4vZCnMkPTgT9FiYWvoIR/ko+swm7OhW7jqH2FbTZ6IfZr7jm19TGp6c9Ng2KCl1OLjQ5av4vsS04NyuqdHAfjOH9B/ST/QZyx/xurfbQGxTlGbj88jj9E+PnGROPYr4aUnJeoxJumBiUpdFlRWpaAoljfZ9fhjPAsfJJv53Zjfam6EE6/e3WboNItCswcR6J8P11aNhGbPM2xGGhQshwMfTyJC0KG+tDxEolZsGtLpzNqtL4S70+jy/1n9N/4b96DnjoEuQAXM9I+EvXQNOCeyLsAgN9H/kf9fL35PTkYRLv/AoJThJpEbW28Jwjnzw0z8Wr0ScoDn7pOJEBpzszMWrwWp4R+FgqBtoCSBhMPARUTDwAjjLWmAq2nPiI85ezD2lqfyXfzj+gbAPz5zDwxaqnrOXtr3O/BswZFAA0alXtGaDZsZmv3wknhgBU+b4x8TR9YSvd363ovbeRF5myZD6xV5xmxihK+MTeTnfFDYZ1tXhaN1eiLxyCU8MbLk6+o9eP5MbARKOQ98sZrWc1axzETv6983hqDcYRsHptNcxzC5PYdAt8giAVBv6YK8r0wMjEAIBoyNSjJvpLc8CkLKLvXWB/fjo5AE+xH0R5ag9Vbs58b+VyLXAQUt64e0ugs4yRMs1ogoGQ7vrtb+NNt0U8B8Dq/KaAkuMvqaYv+hskr6fj888M/YUBoCQ7TxKyLjpTbsk1/vN7I+aP4OiMaf1d4UohQ7RId3nIX8LgobasUDKrXTscZ4dmUYywJkapRg8ZVdd4e+Ri6Dqzf5dzJWY5txE4lHapMr5OgTGtzKhHiGCXeTbFWbV5sQNeBPWpMsaKw9GJU4djQIgA6rn+HzSjrhPCdawB2rXZtjxVmrAHn9bO5diiqe3I1KCqzPtqOsOrviyyKFH5cQ5l5UUEvHQ+s/EG5bqsuwcJpsqG6mXh2VdrmK5EgHNq1Eh0qZwvbsBfOBI+qZsklW5w+NDPXmkKTU4PC69vjOtwkrSNklUPMWf8d7jhv8SZxhAlvDIaQQFghsSAPpMaXFNLMvhMJh6CR5YfN6DbF+qrs4IYTw/NxZXgU2i2i/QkrYWtNKG2q5iKguGxjNE1DOXaiOSqFPig5b+K5//77DQcn4q9nTztC4eSTT3b8fsMNtMp33bp1GDZsGIqKitC6dWvccccdiMUU1eWZhoAym4TTxGM8wvW79nHj3DvtmkRcGwfZmaUJwZiFQeo8loghEtac4ccCRAT1kuHITYiYf5Nq3quz5tNjlgl+Me6lW4ivQREu/hrftBJGAjp0PPadOCdGeM8a67NKZlQn6GvMyePU0GwsyL8G2C3eMRp1StTxxG+88GXr92/vBJ4+lHGec6I2FhfuqH7Mvx0f5v0D90XelpZhgtenASAa2wc8dwTwtDzLMk9gaNUsnzD9MMsb0e6wbizOlMOih0mUDL1n5RMHmVpMnv/kq7g8iy+JbUkWVQBAnwsddYooAUx6dTJdw3y9q/X54+i51PndWhgmhkvDY3Fx+EfqN6uG5p2xMmFo6FQFFB6sBdBMHOmyIE5rdaH097ClQXFZWNn3fdJdRBnOsdJeIReQCcoXr0VXdCyzhQPKxJP8PxoO0XOTSeLnMfrIxLGhxagvYHJ+6XZIfysiQslNg+LmH1hQtQ7fxH+PnwtucERzm/eqwtXT0PCsQTn00EOxefNm6++nn36ifr/uuuuo3x9//HHrt3g8jmHDhqGurg6TJ0/GW2+9hTfffBN///vfU7+TdODw37ie4jTxGI+wqqbOQRJGIh91mJR/K96PPmxfCh1dOGYhwOm3InW0TcQQDmkU2ZomEX7MUFb2nD263ZZIOITpfz0NU+8+zUocmA5GXBV0FZh+hOYGJIzEdJIyy8bZE5sfHxRWaDJtwv/JexJNtRrgWTnLrCZw5DxMW4nTxwzBGaGZAIA/n9bZea35YfrLAIBzwlMc55iIIIaaD65Ch5Ufcn83c6BcHRmFp6NG5Mr3C7cIhTtRLo78ar4zHgDcfobB+nvBke0pQcSE4ZdlfHas1aQpzsUBmkKVYQogz6RU9sTx60/s6mAgxh5nUkAS63V+aDALXdcxPUGElYdsQd/UoEQEAkpVrdFHSM4UMr/M4lAP6vwmFUtQjCqMiL6Ox6OvooBYxKxw9YJS1CfL+F3kG6V74MHZZPoAG523fZ9cGDLHYMJlCXJoo467BWhivAveRmtC/m3S8khQ7ymvqRVoAPB5UKJhjZ4HwqkJKCeG52Nzr6uoY2Rk0t+iti+hq4lHIOi1wm68EX0Mh316knVMtLb0D7mbhRsangWUSCSC8vJy669lS1oCLCoqon4vLrY77vfff49Fixbh3XffxRFHHIGhQ4fioYcewgsvvIC6usznOXFFM/foFpGTrEw91rpZPo4OLUW5thvHhe1cMSHoGH3biXjjqqMd17BzsnSSjtcjEqI1KJPyb0VTGDux7+LJ8pORCuYu/djQYvpW2HYXF6CcCPH0Kp+0b+5UM/PQgZHcr4+M5J4nqv6Q0AYkdB1d9y/AteFvQC5HvMfmx9bahFnQ7ox+iNNDjInknfOEHpkFa3/kHv8q/1403bcOr+b9EwBQVutcKL2Y1s4JTUbJyq9wX+g113PPC08CKjfj+ndm4cVxK5XrAOQmrihhnjSfhgay/+gUkyw1dAinVC1JUJVIyN8nAOC9ixyHyEgS0sRTUhhFe43mvcBOPlOpiZgkER3FmaHbz6b2kHMZcj/jftwE/QEhW1gkn3MiUkCdV1dUjkLCb+wg4p6sxTscRVmSOO7M8EzffgZWH+RoUCIhODZabskIzXawAooowsS+MGxF/RQgtTWDehZ6AlGiv5j9M5HQrf7n0KBYAop/00gsSjtni8ZVoVYjr4rTpZqiGi/mPYtTwnOp47qAEE8l31FDw7OAsnz5crRr1w5du3bF8OHDsW4d7QD63nvvoWXLlujTpw/uvvtuVFfb6sopU6agb9++aNOmjXXszDPPRGVlJRYu5NBPJ1FbW4vKykrqr7HAkojpyQlItiu/qH97rno1osURCYeogWGVy5RHdsyVoc70yYl6hEO0D0o7bRd+ldxpV5up3psZql5z8ioCq9aWDzQVDUqbYtsT3i3brYmJzK5nVLw/9zxZ9boO3L7+FtwbfRdvRR+jf9xKJxB0s7XyKK2vDH9PfR8QWoLX8p6iT1r5A7DR3a9Dhg7TH3Qc8yIX/jNPHgLrgM/dn6y/58VsR2Zy8SbXuKmrDL+sXfvq6b5O+IKEkwKK0vy/eY7j0KButj8LJQPpOgaGmPlmr1gjBAB1ukxAIT7DXmS0EN2PzHHnNo7ejBmZlJclDsJmgjDygv6dqPPq80opDcPY/DuIumxHTpJTRSUnEA/2uzN9RwjoCfy65kvq/DwOZxEJK8xYZ0zZzLu+sB+TrFELW1qpgSF+YlBVkKzNKCrDTafYfEXxhA5d1/G3f/4Lb+p/wyHaOkTDoWTOKfMmvIUZo8dgzkG+6ZhFE9coHvo5hhHHgoLfoX/IaWbX6vjrZ87zoAwYMABvvvkmvvvuO7z44otYvXo1TjjhBOzda6iNL7vsMrz77rv48ccfcffdd+Odd97B5Zdfbl2/ZcsWSjgBYH3fskU8QYwYMQIlJSXWX4cOYnrm1CDvaGsKLqNf4u9+sFRrsglb1/nSvozKXGbS2VRP559B3DDxOHcjRsFWmyP5yXqNgdmWIaNzM33I6PRN9Cy3NWaqAgqL64YO4B5XXahPCjM8DjW0o52bgHLKIc68HC1cyLcskC8zntqOxLSRqypQerMcMSrgFN5XW4Vrw/+jd5g1lcDHV1vMqSK+IAC4ZuKJaIUK6ITooWkEUyqAicuN3f6YxYzdm4imMSm+KeFC7a4AsBoUUJ/nJhjyvO20NpGFzBRBh6QSLLBamLqfiJuTbPL57E9uKMYnDkcd7DHUolkRdX482gQDQvx233xyUpgJ0YLVg9E3sabgMtzFUBG4wfLTTv7PPo/T1z1jfR5aOwJF+fKcMFSYMXmcMYUe2oRxkiU0KHdG+WZMVZwfJtwTCpujrGm+5W+X0IH99XGMqLoHR4WW45XoPxENaxgcnkm0xWMUT8gp5LJ5nXh+NQDQMqkFk/msA8AV4VEYFJqPZhDkloJYnmoYA743eBJQhg4diosuugiHHXYYzjzzTHzzzTeoqKjARx8Z1M7XX389zjzzTPTt2xfDhw/H22+/jc8//xwrV3pTH7O4++67sWfPHutv/fr17hf5ARFBIIK52O/Ri4D2R1kqXNniXlUbwxXh0cKyeB1DZNLpqG3FCeEFzMn1KC3Ko2mjOfWYeUXyNMNZ1wxjNeG2cEcVBBSy3afyEnBVicMGTTQX0KT4pnwP04KSzD8neYIDHYoVhwpJovftX9SuEWCNbgjvWqIeWMDngiDhZ0e5fFuV49jX+ffg3uh7uCBshNZj3TTg0Q7Aws/wUt4zaIk9rs/wp/xbjdXM9EGBPblW7qcXIZoTixBQvPigcEB2l7kbKuwq4D1i4aaTOlnOpiyci0zy2YTC1OIV1uROsqY4Z2pb6xGhk3iyC5wOdBI4NhabXZ655oLwRADADZGRODE0F6qwniVHg8K+nsV6J0uzLAIVZnzM9dbx/Bi9uz94HhPpp4XUGSPPkTuTU0hqPk1NBBv11VLbg7xICLMSRFZ1S0Om2Jc4gky3mbTGVBTA8ED0LaHwAgA/Lt2GAdpiPBh9C+/ljZA6MUf28iPvlusHOY61bCoXNDONlMKMS0tLcfDBB2PFCr79dsAAYyds/l5eXo6tW+kBZX4vL2dUeQTy8/NRXFxM/WUELXu4nkINLEDJB+XtKWsxMOxcPKwQQk5fEs3JXCewRBzHdG7hyEhsCk3Wjo6wYfPae3pYbp4QsUNSTSEazs2fs0scWm1BoHnwIp/0JUO482j7eBPUotBh3rLBU8Gf0r1UreIlBCfHzNddT6fSzTMwF7qCH+8HPrnatSyWI0YFN747U/jbNeEkK+x/aNX0JeEfXH0Z2GgrTdNsOm6ZepB0kq3ZbRxiNBQyUCYl4vhFL00hznGaat2g6XHcVe/M1gwACYLe3xB+SA2KLYxZYcYuHZkUUMi7SOQz854epx09CVhtCIu1mG/nPSb8zQl64SZNSyq+C3U6vXm6JDIuWU4IOOgo63jpPnozu7nL+UwzNK4mgotDz3c/x8Se9cCOFVYfZbtoE60WEeK1zU50pwnmNv0MjP47UCvRtHLI6yL19PmyJKTXhL8Vrgt7a2LoGLLX1h/zbxeW02zjeOvzbiKLMS8CqlOZe6LZTCIlAaWqqgorV65E27b8ncWcOXMAwPp94MCBmD9/PrZts3fRo0ePRnFxMXr37p1KU9KD/GbArXOoQ8u6XkV9DwsEFD+RIeclVYwiD2xysjUmHEEdK0ZD04CEzgoodJvJ1PHdNGciqFsjX0jbGw0raFCIeZ87D0eLOAfZQgQCigclZAfNjOrQHSHAL+Q9h8UF11gTKxtVYX47o7ehwbjl1O6WP4Qr5v1XuY0AUFJUIPzNfG/5s17h/n5cN1rj1wJyMxRPqKirFQtqvdgM10kUaHXQFLQahgIl6QxL/Os4T6BBaf3Fb3ByaI7vVBEijVuvLV/ig7yHub9JChNmBddjhICiA3+JGhrl0K4VAhOPvCpTQDH9Xh6uvwxvxc5Afau+TMUJRz4aE1Z/dVnMi6Em1DqSPRLv8mhO9AcrSB5cyw9rj0OjNAvROO2Mvq+UI4CxqT5E4N27bP7511EYFfud0S5Op+uw6RtrDBXlR2kB5ZWTgUnPAj+OEJcvmNdIkFqSveHm1G9/i74v9V/qrtkO9mUSk3T7mYZgGosncNUbNmvxg9G3XNvX0PAkoPz5z3/G+PHjsWbNGkyePBnnnXcewuEwLr30UqxcuRIPPfQQZs2ahTVr1uCrr77CFVdcgRNPPBGHHWaEYA4ePBi9e/fGb3/7W8ydOxejRo3CPffcg5tuugn5+XL68wZDEzqccHvLY+ifkztv2/EslPxXPovOT3R2HDs1NAeAWDNgjZFYLSbk/xHvRQVspLPfRnjHYoeWxnSaPdO0mxI7PT/e/AWTnsDneX+nwhmdbSaEKt6NcXZ0M0i1KSDMreJFg1KuGbtvXQfwAT98/GBtA7ed5tfnL+2Hj34/EH84rYcjCZ4QrQ5RbySApkQWZjZSSCb0fnzDQLx4+VHUsXLGp4gFb3fmnuPDiRB04cJIQtd1iupeiUeHmcTfzHuckss1F+p5Mvkdt7r9uzF4xUMKDaGhaSGh2jxBCihEYyMbpwGn3mN/N3lQXDpyXtIUVJ802b4aPxv3xa6Gxpg2tHhMOI4tkjsXAeW2yKdoimq8FX0UK/IvR2vs5pdnecmazq12W3jOlU75VfDsEKLeeR6ZYwlO85nRGEUBJcoR/k/8s/SSMlQY7SL6ronivSuted7YoNKRTQCAqYKkkwBQ7DShsCDH6IYCp0afzahs4pRDWknpB3h47ocVmLthj/Scv56lnok9E/AkoGzYsAGXXnopDjnkEFx88cUoKyvD1KlT0apVK+Tl5WHMmDEYPHgwevbsidtvvx0XXHABvv7apqUOh8MYOXIkwuEwBg4ciMsvvxxXXHEFHnzQGbnQaGAW0BAzYX6Wfz99vm2clRY7KdHHcSxfMxYH0XRl7UI2zER7bQcGhcWRTiXf3uw4tktnVMILPrc++vHYjk58DP1CK3Ch6ZuQRE9tHcbl3YZzQpPc9UicCWe9zviqiEw8HtraWuNPtCSuNXkhmILNrwXRMI7p0iKZ8E8xJ0vvc5XbGNLoqv8c+Yj6PYwEzgnxqdaP7tzCwTac56Jq59mw3UI1Lz+2o+OYBh2tmyhMHTq5XGtCjQYdxeNsIyn0RlwEqjGLbDU3t7rxj3MOusMQUAT3XGcLlo6FuXUv6+NhIcPsyHOSPVhbj3abxwJgTTxEGwDs1gkHeT0u9Fko3KoWTdZa243J+bfipPA8RLQEJub/UXo+L4qH1+90AG/HjEzvj7cSaxUSCAG9zrHLitECSpw3FyhoUPSQwLSlosGFQXbIvsrOi16kGXAlOYT84paIPUf32jfd8XtngcmlffMifB4/3lNdz41d7npO03x/gQ7pgicB5cMPP8SmTZtQW1uLDRs24MMPP0S3boY3fIcOHTB+/Hjs3LkTNTU1WL58OR5//HGHv0inTp3wzTffoLq6Gtu3b8eTTz6JSETRptgQYHYcbbZPEpyYhIIPCmDv1h2o2i6cuC0NioLqQIs5SeIcu6uDjrQ+8iYVNuRPBHYn/kL0WXQObcVzeS+grIltRuLuFGsqHIfy2UVSQYPC2rRZVbWpTZC9lQuSJjZ2veC+D0HyMwekkxWvNXZdLEFdWEvgubx/qdUL4LP4CY5jbbALJ4d+BqDbSSMJuAkoPLPauYe3RVkTsWnKRFivU9KgiEw8JkgBpVudnK+kXanNvcM1CU79t/R6EbR4nVCDsnijXHNlYlhoKgC+k+z3+XfivupH0E9bbmm1WAElrus4rvY5+4Aed4zxU0I/AwCKl32abNxXkKEeETulAuxNkxhOH5QtenPumX+PXY3ONe9jfsFR3N+BZBRPYan1PRqno0/yeStU3KnBrSuifRgtYsTuZ9AnHv07YVtIvDV5LdffyXzevgSUtT+5ntIltFW4KQGAPDYFShJGFGc2xuGkhiAXDwtWfegmHFhRPHKcGp7D/2HNROHEbU/M7h0vstsZKdW3jBlgA35vfVROdscB64xLTnDUAsFr9me/dxzKY3f2gl0uWStbdJQpwzbxuDswOEw8vJMEQpPzPLGmxU1rxS4OQjNcOZ+1lo3iCiOOaQU34828J3Bn5EPsh9MjX5SXCQAWJjpx32G7kgKnyYujvo4k6igfFDcfokLUOELCAdphsWVCTmVeXuyfWNDCQc4FNbx1rqPfm5i7fif3OIuvEsehLXai+54pQi/4vqFVGBKeAYBmkQWMvrwfBbZJVE84Ngtv5D2h1BYTMgI6EkwQD7UYhjmCt2rgVZTZnEYIDco/Iq+j54y/Oi/ipCWID6a1NBap3aUfAL/7Abh3J3D/HqnTsIn/C3+BNTv3IaEDOxgttGl21Y303MmjijcrSUZL4pKw9/xP63dVpzWXzvuxU9Gv5iX/YyhNCAQUN7iEy5m/h5CgfDM2FRm2u9qwixf0uEeFnUB306AcJY/suLnWSERVYVLYh20/n+PD8531yQojZpyHom9SPy1O2GaAcEhDf20JLgqP42tQKp2aJCeJHb8lYWIxfSh2OfUb60vRBmq7WoAjkPAetyoBm8RHQuahDziZfYUCTXLyDc99D8eH7PfITlDkM7kx8jVXayYTmkQLMqADk56hD3U/zdlMQoMCuAsMC/OvFf5mCppbw22E5wDA6UnHZlJQ8Yxj/89xKN7peDqxHYEQ8c65C3PSr617y0JMKbgFHb65Alj2HbesHoSjIyt0m4KaxRjN0aDwsFEX0yeYvDY8tEAlTgzNZULKnZumtppTQCPNdjJhhTWbRQkB5fLIWPrkvCQVPWO+2aS3QCHDu1LXNuk7GI4adBBhdS39X6IfYd6GPVizY59D6Kf4W5YkGa9n/se90EVfKtdfqu1zP4nB2CXbfAVqiPDX2O+wG8WNrpMJBBQXrOvwa5czkiYeTcfvwzZF+6TWlwEAqqN89aeFnSsg0pBYg1xkc23Gj56yWla3D80KIvbCRQhbFyX9SKrDdv6JaYleEEIyy5Dq3pCm4ZP8B/FE9BUUbhWHsJI4maFiBgCMecBxiKSBn5Kgk9Sx2T4tDYpC/azKnbvT5+zsuRDQSAPek7UdGRKYM/QEsHUhoiNvwbt59s6RXaxY8w1PQJIJTREkUFrHIVCs3ASsGse0yfmkI3odTdQmmO3M46IkjmeEZlr03FFdYpL61zHolbcd4+84GT/8+STxeW6IcBz2SzoITaCV+wgfFKLH1f46mW5gn6H1uWHPM/ZFawx1/+DetMBF+gmxPkMm43Q86aCqxWNKvmSX1t0j/K2p5tRGmPWOzP8r3s57DOeGJuPcFyZhwcY9BA+K/SyeybPNZsPrjIzwqhqUOHMe6yRLwRQEWT9B6A7Nt66gKZEhLxzCM2OWOXIBNdWMd10bJ45vcW72HBir7mfpZPhWQyaEiUCDkuWoKZLv2DRr0ddxcTK2HwDiVp4GlwpCEWEnWLU9OVgjArIc0XECNfVEBmWN3PUYGoai+F6MifcD4CagiBcycqdNhlDmExmEPeOnfzoO7VxvhzOyu3s2mVahpp6ng3VadLwPVeEE8K5B8TsDEMntWjczFlRWQDk4ZGur1iZa45mo0/9CJqD0Dq3FnxZe4PxhwafOY807O8tO2O9AkzjJuuHVvH9C//ldAECeLjG17VgKfHMHOpU1QVEeZ1xJhEcKYUZAGXAD4j3PEWqURs233wW5MCc6OX2CLOw0TLJPXXw4Hr/QNtldFvlReIlJmmW2Q9MTQidZEuv0NnglNsz1PBNm+e2Sc4SZMuPs538imGT573JSoq/jmCwDNauVMn1QuCZo03zK+AkakZV0e6oG3gERak9zDzEffmxHlBRGHfdpaiX31Ume+xqOrwmRSuFTF2fWJhyhUQWuBJQ+S21MBAKKCxICb/CJba8yPiRnwRLsw0GEqlPXjOs0F7U+4rXCLmCbOAUdj51IOaiP64QGhV/T5qQKWLSDBcD1rShBFW6PfESxWZJmneJF77q2r0SRhwEAKvfYkTlbGce8uyIfcK9x28m9F30YryQeQBQxtEIFXoo+jUOqGLW3FyZTiQ8Kq7L3D52yw5uDmA393UnYzzuFtqFXyGkDl7FTegJLIgbg/G0vWM9O5CR78iFqWYK1lYa6P093ySUTp4UiCptmK9VFaVBaHgwMfQxaSBxmTAl5JFGcjPF0mUGC16wgiov781N3mLV9csNAfHHTIDQrSNKwm29c0cQDACNilyqdBwDFDE36yUk6BKNOwsThETNZOgE4NxodmxjPclBogeNcax5k5rH346c6wtPjLSW8Wnl0JM/eoU5H9D7tSlAQDVNzOmALKNL7f5MjDBJ9yhG1yMCvBsWTD4okDcec5mdanwMNSpZD1/i2y7xkPHrzfYYa/vTwz9Tv8aRgI8tZYkK0syxOTkjCnZ8bH0B7ww7LM/GQMNWYUsdZjmbg0eiruCXyBbqF7OiTvIS9gBRucTfxnBZSXDQAXBexWVr3gc6UzIZgjwsfl/ykA3lGaKaV1Zm57hgswJDQdPw9+jaGhGfgurV/Bur3289dNcQYSMkHRb0OHdi92i7XpFBXTDxGn2Pc46DQfHQj/B88I88Zvnlo9XRuLh4SIU1TIuAzqdMPrWcWruGMNocYE45hNfo+13oA0AKK6WOmaUIfFMvMsr8C+n7C98nNf82EQADWoOOTGwaif+cWOKJDqXU8TggoPCfny/s7tb6itvPA5nEJExsXHpOsG8zb+0f95c7fmHIKEtVY/OAQQUHJe2We6xfx44EimrU6FBbPjdpee74aUvsotIJSxzkJXUfreqe/XF7SkV1HyPYBbM0Rhlb+AKyeAPxnKDD1RUogqNHlmu8mWq0vnipP8wsTCUXy3/yv/CbPdWcKgYAiwc+J7kJbpkkY1Xkz39ktkdSghJICyj5doO1oe7j7UHchp2IxIZ5UsyYHrU29zX/dV0SMPEE3Rr7m/g6Au0gfQ6SFN3HSOib/RbXcWdVMjMZFLa1dOSy0WnCiE1s1YmeebPsaXZxOIYI42hPp6vHIQcBrScdP1QgewKC7FtXB0L97Zkjtf03yg05F8uQlNSfspKaiHSnSanCItg7v5Y2gsuF6RrSQe9gKM4bG1aD0aN0U/TqWuhZvLrBn1Iyif2hD+yKR/lpmdYdpK9EKFfwwz/Nedh4jBZTtdh+PyzQo8XrgsU5o+iyhJVAVUGJ8rZAG3SFkaRph4knwNSj3tp3BLe+n+KHc4456Nbiaw9y6Lhk9Z37cjaaO8xyaiNoqFOaFsUfnBBdYIcL0NTXIAzoOpI7FdPGzD68cY32OI8TdIOo6kBdy3iWlQSlManF5a8Q75wFv/QpYNxn47i6g1jYTH96Zo0Fh8sA1J1mhDz1PeC9GY+I4MTRXifvJAhOFdwTh77atyv5tZ5W6qTwTCAQUCT6NnyB0UDU99yMJ/uRialDMjKxCW/HmuRImWTOmT6CO46jVAaDWzICa7IQFVvhqCvo6jpDEc9A7bBNNNobJ8oRdFNdDx+PoH9lIEQaP9hsr/M1cnHUdVtvrBMkUASMyoh/plKrHbZMA+fzbOG3sDggmd66JRyU3kYkmyYlN1+1U7wBa6BUAnO9DxT/hiegrVAr5cqiFzDoQ4UfN6LaEwu1+hXlhXD2oCx4e0l5efnKQjCz8FX08zOxGicVC0zT01Vbhq/x7MaPAGZkDAGjFMGX+fgLXdBrSnNnCTfQIbQSIXblVv2QXT+Fhvp+boRFzhsDbPih8orZQlbMtgFPrKEIYcWDOe9b3UfH+9o+K1Ac8AaZC5wkozDNN5rJhOWBQUAqckXQ0raLzudXoeYCmobLUFsDalIjvldRqJ6Bx5chEIoHD25c6jptCQNPCPNsXZjPHyV+CocdwBEWmH1MRd91ONf4v4ZsCMeM1vJ33GIaFxRFZJixH7xgteJAh7aRWy/RvaywEAgoHP2lHolaP4H/xAUKqaDfK7Vi4gDpPtpsV5+JJfhCZGFp05R6uNfku4vU0fbrqjo4HzqKrFA63Y5n9maPKpsxKv/2c/rHSmS+IxCfzK4TPwBQGdMASMOp1cajhUZx8IgCAmkqapO2wi6VtAgCMOAh4cZDjsB9aeQqEQzY22uazSxMGGRe7m1ZJ4sbi8Sg/748rBP5Q5HLGCzvXdYN8avhRcmf0yMJPsKliP/aw+wE2fHSbne4hFNuPD/L+IW93QQn9ve3h3CgeUnPB4uHof7haEE1gHgZgLzrbFgtP+SI+iLt5sRaQeB1XgxKd8qz95VhbXV/PEdBJigATEcSBWW9a3/fBFj71ZH3FhXIzBTnUTSfZGg4PD8v1gjpDQOlaxgi8vc+1tXSMMGgKM2u7XWYd47H1mgiV2XNGHCHoHQY6ztHitQhzHLJNcseCvKh60kIWfS50HmPmZkrb2vZw43/eRjUeo4RJN1jPmzHxdNFsJ954yIVsswERCCgc3Bb+K/rWvo7dKBZ6CZkalGWdLuH+ntDsyIrigjAiktwlImHH0qCIhCGBwGFpUGr30uyhqvlkePBoZrLQiVioOQOshBRy2IXBZXDsqKp17qDNokxhQNct57pmmpNt18SVkdEOdloAhnBCCogsR0ZpR6Dn2fSx+mpgq9PJ7w+Rz4T1e8LmuZQpqWPC8B0ps/JDGYhKSNhIkGRdJ3L4cQAA7Y4EzpXkGeGF5oIw8WhaUomSQBn2EL+bWkL3th736A9oUW8sTtvaDwbu3eHgxCDJsLRRd3PDaE2M7vhHoEUXpXsJaRq1qx9Wy+TF4vRtzRSeTP4OEmbOr7pq528wCMJ2ooSTJ0rDWcmd8iFzHkE7DgcJhVP/Zn1kOT0AcB2njwwtpwTgEhBjVLf/U/VDMU2ZDq0I71jSrPvPC5nUIBJ/O1PwEgU0ODDoVutjHCGECkuBuxl/k3gtQhzGWhMJhDxxq1gI5/GvY+7P0ozll9iCEMtmPfGfwENlnjQ4poCiMwL1fdF3rM+1IdufLHCSzUKEQhrqYEbh8N+QqSZc1tXwC6jR6cGRSHa4kB7HCUVr5fURkvo9w+xQX2sTIpq8ZVECALB5Dn4dJu3uKRD5MGnElUPaSPsshwGScsjTNGPBN/Hzuw5VpLR8AKsTxk7cdBjTE6Q6V/689oKTpyNea/ugFJU5J5f8EuAStR2MyRDqG6sncA8fnZiLvtoq/CFCa6BGRF5TKpa3cDmwabZQGATANfFUh5pQPS6kaXgt+hRmFdyIoaFpCCFh/64oAJ8XNlJPNN861Xj3Mr4LQgvAw8xyZnNxRNKJk6MN0mAI/nMS3bAscRAW64zmgZcKwVx0WjmjVywTiWABMLUN7M/s9/+LyKnsydwzb8XOlJxo4wlGi3ZaMgAgGtaoqCwZMRgvtJg3/sx51j7JeI4O87GEDM0sV9lxN882NSX0kLEI59NCpBavQ+elrwuL0KH506Cc+Bel01oWJftOOGIL4aQv3P0lwFgnV5QbzOetS+bVvIj9HFs2DUw8WQdSKBFLkElv9pDNJGui+qx/QU/6rmh6HDfWODv6uoTtxEkmJDy9VxuUFiU7kaVBEQgDAv+YC8ITrc83RGzyODTn7BZVMfI26utQCQMlBSqBjr0TSxQaTmGmKabCdKDrfCJ9/T9aAduWiEN9GZKk/Ul1tEWKRjzb3toaaVO5KcpjNXYZvAmpttJ5LFOoFu+W74j813Gsc2gr50yavnuL3typZhdBKqA4f5tW3936rMHoCuZi92Les/hP9AlDS1i9C1g3zb7whD8DnSUcIgCi9cnnLlokdqk7VOO3nwOHnm/7OAhMPICG8+oewJC6x5yLLUc7GTIFlAs5i2tC7hdmOmyLMm0rg7jgZ70H3u7FcQpWRH1cJwQP+dJBmXgkYfpC4Vjkd8ctwxRQFEFonuMI2c/4RNtJXIvVoHzjKPZKCzpC/gQUEXfVoedTXw9vnXwu1TvtTZG5UeXxrCjCHOsJgWM2QK9/hXmKflQZQiCgcOA2CWzSW2DyQckQs2QnDSOBDXpLAIDe6mDohAaFRy7V5mDb8cx0pDXrNgeMqw+KV58STUMFOOpmFaweT33tqxpRQwpRhBZGLzQijEwGWMvMwEuH/u8BwkgHFtXJqKD+8TkAgFCN7dl+XEicDVqIRNzeHfMEwgq5diyt6HaK8KdiD/TY8xNdcGf9ddZnZcgElOZdbCde83QkrMXJYJKlB9bJ4bm4elAX4IVjgM+IJG6rJwAn3emogg1/tQpmUVdtmNncYF7a7VTgojeAJslICq6AkhyTEGQ15gkoZvnNOwMHM6GzZp/66hb3dqYRm4qPwKCaZ/FabGhqBfHmSMIESAoLMhqhOpFfmAeTsk39ryiiEIKFEcWT/HLqPagOGdFDWrweGzue47jUdDJNQHOaF1XAm0Ou+Ao4+W7qULdawjeJNfH49X0BUGdq+iXzqYxYr6ERCCgcaILPJo6rfR5VecnJOOkIF9Z0y/NaC+cByUETRhxrQ0QitT8tBm6ZjfxmLe06CMbNkGbLr1YYanKwLkl0QK05oJu2oTQSJETZRY37SU/n6y9yKmURCgOfXmeoJHfaUTJ6knugMEnHbjkgMuF2FurskONteqmkXYZTbrFuCENtltnmF5kfkBB6wrbx7pU77foCL/07m4HVBLPLIpHvwSG2HhE0TS72Z4Rnq1PwywSUaBFw20Lg3h34M/5oHCIcw00NCouWTfMtKngLW+ZzfQ7mF6hlosW+7fK2Wm0S7ETIa4fyE1c6wHWSJcpnc++YWYY5vkokNlbQflOiNo+MD8AuTpQMi5AGbEQrjE0c6XouF0khIMRrR5eT2NOMz5LihDQDHvwqzLkjpiowEH0rgZCVQgAA4prx7kPxGuxucQQA4If4EXgvZlAOmBugBELOPsobyyxYzVCvc4CuJwFR2kRaFSkl2muaeJLXetyY7m9h8LSsTLS1fH4SEhOPF17KTCMQUDggJxZNA3D1t+wZ1qfZG2wVvxmRooUilgYFYNgvi9sBZd2o2TrEaEjs3RodZlyJIlxQdz/Q40zgii+5accBYLdkomJtu1/EjwMuftv40qQV5wo+jg4tcz8JMKT9+cnQ4w9sm7+etPkWgtGg8AZf60OBpd9YX5VNEoCddh3AtERPyZkCJOLA5jnu592qcA63fI5wUNbdeQyQ8rF4IWmqRxiDCG2S8rVc9bQGdDjWmKwjeUA4ai0YES0GMspYebIpLBWaL01UtuBndAYAfHYdsFacst6EUFNK/iDw+3EgFQd0CRLsaiFo89nhaWihMazMHZ3RKZZ21gPlAMnhZBG18R5eKT8MNi4h/KkGPzwdY+6nvwvC+zfpLaz+trn8FMxMHIyXXWn97bazJqb6pICiJeqxv8bwmduLIsuMZM7xusbxQfn1v4Gzn5ZXXc846gs6YdTUuh90lO1npccNJ2IF8k8TT9RfjMIrPwaOuwVX1N1lz50yDUogoGQ3HH2m03FAy0OoQ0d3MUwU1cSaYYbdhiJRioFW473xZu2sj6STbCikWfVb/p1JASaBEBboXYHhHwGtewkl6akJMc0zG5aYQMgWTDiMiilDNHEnQwYLkjlz6hLJm87jEDQ1KQM22Uy9uiBpGw8aMRBfiJ2rfJ1dWdxYgAG5D0+LLsrP76rjOgMAXruiP19AEdmpJZNKPtQXyBgieD9uZx9WElCOuJyvlbhxMnDNd9SgiSW1fEeHliWFbB03rvsTCj9wIZwy0fUUV5bktX1vFf+4fhpQtU16/eP1v1FboiU8NQsTnewvXgUUjvDAA7u4awDmJPih9Q7kOTcqZmJMdgztD4mzrm/RWzgPujrD6FYixOtOELd3D4e8jbtCXvYh9/oTap/FwW2MzU6rkmJcWHc/RsSGu7SNbCV9H2b0Xzi2H6sWTE8ei6FYS+YI0uy52OGgXVMJV66pKSytvn3+0rbG/DQ10Qs9apKatb1b6LEw4iC+QzYHl9Tdgxfj5wAl7YHB/8BGtFJyknUIxY2IQEDhgB57yS/nvQgAqOp9KV67oj9OPthY1HXeRBqOUsdP1DnRG8fZtmdyl2/wRRifLQ1KUmKO6yHkRYhXJuhI78QFJgI4BRQdmr1b9eCYpoyv/8A9rCUHt1ODwhngWohqmywPBmv+Cdfbu8qJib6YGjlGpdU2EnF78Wl1iPxc0aSdpMKuat4L9/2qN+4bdjDWPDoMp/dqzd8NicwTZd2EVS9ho0okiCFsqaoBIF9TmPDaHs5vV+tejvsu1e0w4nBsP1pgLw6uno3w2ons1Xycdq+rGlt3s8OXywn1/h0/V83h9ExxYrnHYrZGMFbnkj+FJYRLJgt0A4/P44XYr5Wu5Qn79txCozCxD+O63OY4H2AE2OQ4dKPO13XgxcuPwsS/nIJhhzmzrm/Rm+Ph+suwi+cTx5p3IgV05vZBxpyiD3kMn950Ij77P4PK4NiuLXDHmYfg1Sv6QxWsgFIcM5iv+2x4D79JJn8dFp5uRY9R19UwDvKxWmD22/IK+zBmWkLY2N3UGN+b9DLsDZcaB/OLnb4udYymTICpid4OfynLnFsjZvjOHvEkEFC44EbxHHQUcOdaNL34JZzeu41thuEIKKFwxIriESK/qeVUGCIEFDI3ia4bO6i7PzG0B3GEcEJ323dFxD2xQW+FnVE+rbtDg6ITqkq/XCd+kBx0Bcmdf4zsio5nRzukydTTrPmnLt/e/ekI4YFmYip6LnRCQDF3TCJfEFECrt6/BgA0zQvj6oIJ0B4uB1aMFTs/i2zZEr8KZT8SAPV6mJq4juclZmMRyePXz1nlST8nHUBPDteGfQIzHXY63jCDumhQpIn4AKX0BNIcQFf9DzjrSUObI8BO3SB526I3x+xV/IgpC52ZDLb7tgHPufuB9G5Ls0VrGjA6cZTjvP28/C75hnaClHFME08tG94LYO5ufv/qFNpm0QqEkmMhpjHn3k6bfHXdEK46tKD78tm1/8CXZb/D8bXP4tU4wx9kgh0Xd6yk+8PpDwC3LYR27A04okMpmuYbY17TNNx0Snec0VtO+kfm7dnPIY8DgPa75VGKOjQr4aOFegVHdVMba6LKJkjTkwRpeYghZpKldTzWqan5Ri1UmYc+oTUAgPyRYufsLFKgBAIKD+ScS01hhaWOc3WOP0Q4nIcEscMbCSNkctcRNzAVJSmriQld0+ykb7oOfDhjHerqjcUngRDO7EMIHh0GOFgJD6t5BXWIWs5eLCIM/bYRz5/sBqIF00uyPFUkQ+cKkipVyhbMS0DS3TZJVPDUwkmwibiqSnpQ3yUEk3wkEvYux1ygyUgj0uxTxwlTBoBOSXV+vB74+lZjF/rRFWKNFbnz7f1roKwHN0qGRLmHPBwxhBEncpUMDU2TnJ1EpMApoJz1JPfUjmV2+3UdGBKS8L+wz8BkdnUR8F19KCRq8K87GO9PqkHpfDxwzHXSk0zfhzASqK110aDwND673LUoBzWnKdtNujsW59Y95Lw4SRAXIYQ5s//P1Z3auMHtxb4Ng0OzjA9JwS/GsuQ2cxEKkligd8UfNp5KkQM6QJDEAbAELQuaZpgt/CJaiBNqn8agmmcd7diRZ5Q7t91vpEXk6bVAlNFQdRjgJHJkwTJRE4KrqRWMImb7oEQLnX1nj0TgTwuyR0IJBBQOPNH7cnZyoYgdxQMQNPcsAVRSQKmttyfpwnXjMLnuAlwUHoeErmPdzmqELbunhnzSxKNpwIU0x0plcvGOxviLZYjp7BdHxtsDQCSIZIDrwzTxdA8ZDI59k5K98SPzTLUQJdbfVi+eBJbotKOeSdtc0crIZMy+2j41LmRmetzWLJnPiWyfiuc+j2gJGpe4zlFm73OB/5sK3DxTSszHYwQVoUCrp6agPBXG2XCe0zemJY+ADBjcx/av0vQE2mqShJGsIGE6Q7uZcNzGqERA2Z1ntM+rrOqoAsQGQ8I6apzkj09CdS5arh/kPJgUdEPUlGGW5yy3rFYcMv9y3tPoVFZEaFDkETMphaqqhIiniPV6G2yEMyhgSYlhLtKYuXBpWzrk2IjiYcZjp+Pkglq3U21tyNXfAQNuoIjbzMS0hoCS1NpG8p3axPbuZurZCYGjvQCV0eSzOOdfgQYl20GFGbtMENwdeSiMiv31VkbNaJLnxKGWTna8LbvtAVn8iSG5PxF9Bfvr49ABHBsyYuJPDc9Rn7DiTruvUSdn4k/VB6VNX+DXL3q7Jrkbb6XxhB/mHhMxa3GfHz4Uq3XBvQH4b9xWybfXtllCl0WcBw1PNDM4Nv5Wfw2qeOyxJEiiNus5EZMXz6mXhTkpkSYgPQHMesP+Ti5geUSb9u8ytE0iWu0egx2HTD4eES4MT/C+OEfynQJ2M74ZMT9K3Isep/MtsZj/MXMgOTu6mHjgxn4rMfHYCQxTE1FMX6iWWiVlpuXisIt81cHOL6Imc31Ckn0zzEYlCtCqmXwshDTNokRwFVBSWeTYCJ4MYFhf/hxihRknaCfSQ46lzVFF8b3AQRxfl+adxZVe9Jb9udNAYOhjlHbINPFEELcjPyOcpIcb+OanTXoLHFHzMt7p/jQur/uruB0cWPl33PzsGhiBgMKDyMTDQZynFQ1FsLWy1iIQMpO2aQ7NgFF6cQH/Ndz16TwAwJmEilwmoMTzbHv1Mdoi6reXYskBls9xSrM0KAIBZZokgVyHAcDvxwt30yJoguy3xo/MPe7fbTsKsztRxhmSTOh2bfhb6zozLFLTgJ8KTsIhNW/ivfjp7g19+1xbIDEXzeZE9IbAD4iC+XzJnWH9PmADocomnwc5KS2xw6u54PiFDKl91LVJJkGeDA/VE9EQkXxnXYLJLN6MUL/rcZwUnieu5GtBNI6bWTEFDYrlT5GiCqWAiJyKxlx2/e36AX+YB/xti/w8BuwGyVOTk1E8IcUb1aKcxZCpW0tqUOKyRIjIJiMBHyVFfAErkVyow4SAMi/RxSEwH7l/MnDEZXCgVOCs/tvPgQJ+9nmr7uQzzdNi6LUvKYS4aeYIvBs7AxVohrWlxwrDt1cljE1FvAWjYSGyVGfTuwsEFA68TALfL+RMOOEolf3U3F1p7K4wKbC03j6FSnlvYs1OY9JrQiwm3LkmGbJc3eEkzo8GJiaSC/lvOF7mZrvMiJJV44EXjgXWTjG+j3vEeY2JcJ5xffv+QK9fic8j0eFYaAwx0ZsxQhPQi2FwrK2yBpDD9+Dyz7C+yA6rJsnBro6M4mhQkMyrInY4vaPXD/QB87mYz4kU8lR24aYGpXoH/zhACzqklqsp43dy+gNMGc77cNMKbdVLuVlwWZihlUY9+eLwZwZ17e0EkZOXy8N9hSDCdifG+zh/d3vu8z8R/mRG7qaaqZVMdHnMWgUK+ead7Iy8LhBpwdw0uhSSu/MbTjL8TYb2KafueafejHu+EJqtWYhpecBRVxnHL3pTvU0itOrlfk4aIXqKS3cYc+2mXbZmd7teytfoeWF05WlCWBAmnrJY0ul64lPG/9ePc738mNASoxiJQGpqmONtaUdrK7eaFpKmJmhoBAIKByFFlSgAnHEox+YYikDT7MiUbiGDgdQpoBjfy2c9ie/y78KF4fGOolo0oRcF7gR17Sjg9PuxfpBYkLDooA86CnV9bAewuYmu9uCrrTRC594+B9i+GHhjiBGHT2D/9VPogslFlkjtLsX6qQ5HOCpp2LCnjB2niV0rgTnvAwCa6UyIXdPW+F8H22k1wkazmBoU019Ac98hJNjdock/wo1iIYZQx+Ocv/e5QEyJTe7yKQGFKJPdkfW/mv6+ZCS8olaPYmJCQnSWxMEakeGVZ+IRIBQKWebNBesl/icyEM+G6xDrxqa5VpKvRPenQTm0Hb0DrlBgbvWLR+svTb2QpAblxpO64eubj8ezl/SjniTlmH77Utf3e0h8uUWJENciwK+eBe7fAxx6nuNcz2vclYKkhw0suGzfbzS8psYmVNuml/J9iFzNkAQUTCd6cp6gwrpNp1tyPhTg5LARni0TYq13zpgkrSsaO30xg0BA4YCK4nF5XyWFnMVHCxkhwsnOcFAyJbrGStzMJHtn5ANHUV1bNsHI+AAAwCfxE/nScWlH4PjbEM8rsQ49VU9H95BRG6Tk/2zsfHon8DKTpO0pemCFyxjSJXLx9bCj0FaNo77Xk5NlQTFwzff0BSvHAgC6x+3Ih2g4GY5NTB4TEofT17EaFA20ozGAusvpydHh4BeXCCjklM/LanxQf/FElmB8UkyQz5E1dRSU0N8ZgrDRcWcIKosa5NkCqwRHhZbbX8J58szBBEIhOsLFE4Y+YfzfpjcQLcJ6rR1ODM93nObKgyJBVch4hp60EQAeu4AW6hwZjZOYEO+LB+t/669xSYiS6FXVevATy7dNPH3blyAvEkKEoHWn7r5ZOVfQmBQ/1Po8ID5bHGbMwLOTLKspNBGVmIIzAHOjRPpNFbZoy5/bRH1wyGP09xunUKHNIujJ+eXwEEEOKAlzF4F4xehzEC1Um/Pslt30Rk/TCQ2K5xozh0BA4YDiQXEx+HDVxMljMfbxRpgOzSxcPIdRHUClbqjs1yTaSHd95KSwAfSAJ30zSEGpQm9K7w52rxFXACAvLx9xkoWSXGSLxc6rzoLo3aeVxMpEJM+m4BfA3KVFNPu+2Wc+c41hVklYId3O7KqJTsejX81L+DB2Ms6vvd9ZUYzwqDeRnxz4PQhSPN4kdMRl4oWdfHZVBI8G+T7cNAXMojJZwiJsokZi3iJhmQUB4x4UF/SQplk8K2Gv+Y9MB+FoIfCX1bi26QvUImkili/I2eSClYm2WFVg7Mq9bhbZzYiIrOyK+rvxn7jHZHwXvkF99SzYwcgZQ4HDJPubo+0oN4e2sWV3KtM1APyp/kbr81W179saFDcBUXGVc9W09LtcraA0wcxVk08IKJWRMscYrtbzxZFZxxJ0EkdeaQjbCuAK3T4ENHJNIvMMATYh5uKNtGbTNvFokGQmaHAEAgoHnqKMmXMnxI1JPaHrjl1qjM3c6bL4NEU1dF23/CriCMudZImeVV5Mq2vvOIuY5AnB6PqTe3izpWoawoRAYGo2ABjcBKfea/iidD1ZXMaAG4HT76cO1XGIoyBzpIU9B4YJlSi5aLwZG4yVW/cYxy0NiuakD9eA3SjGXbHrMVtPOvsecpZ9gqVBIZ7p/00Fzn8NOOb30jaisFTNxEMiFAZOucdIr3DsjfxzTOTLHe94MBO0kTlWeKDMDB7CZMMhzRKIz+7d3FvjWhOTebQAuhbGBI45KsZz9lbAWXUj8NnsjQCAr+ZkIPmjCko7OY+xDKMe8HXcIP/6Q/3N9A+c1AsmqRlA+2uZOLb2Xzi85hWMqL8Uf6z7P+xl/JkoHxQJ3Na4S48xtE+3D3Zxrj/qGpeS/EE0jZrZlZtqNgXApC1hh/Z0kd5Jbd5sznnXAphRPBRkcyAn4zdAa8ZYYaMJDNPVmeGZtlDCXB34oGQ5KNWvi7DCeshfVW90monLdzjUtM2KGEcpFwGlGNUI1e9D96QPSz3CUuGJzKHAWDEwsDvhK0MMrNKmTbzZUt1w4p+B37xrpLwXoc/5jmiiOp5Km2NSITVBXVoaYZSVBTRp07gWRkhnNQosZ1A9+axDGhB35F/jPFQyKsnSoBDtKTnICB0Vhf9S9yEQUNofzT8eigAn3QHcPN1dNewjNNw09zVxieShCPFEWaY50DRYGpSI7hJ+y+Igml1V0+xdLYl4lGjb0MeBNn2Ai99xLZ50jl6yRUCsJwA79l7+rbs5jQsXwRsA9iEfEYm61IzGWJDojDvqDSGZFSbQsgd7GYWVejvHsRgi2IOmeDn+K3yROJ7Sts0L97GieNzCjNl8LoMZdteHf90HY/50kjRPDwAp908mYG6USmCbQLbrpY539nbsDPnYv/wz4Ojr1P3yACR4GxlZX2HmlRpWCw0gwUgoV0Zs0/nwsL25tDzzAh+U7Icm+MwDq9EwJ+bqujjt9wEjiSBdkfzxh7QEBn95FPqFVgAA2mi7pR7aZMjz5gpGQCCEEo2gZNZDkfQKKCbYiBUS4Tw6twYEGhQOQdxbnW377mvJnBs1eaU4rfYJDKx5HgCgJ4WdMOKWqtxyklXdIZCMkKbZS0I1L4Vop2W+/6N/xz+uAkZA6UMS3okuUYxTq0cE3/R4EDj3BaCpeqbrkGZrUFrXpsZ6qUGj/ZPM46RGZ8DvgRsnAb3PkfNQpAhy4zKwaxmO7uzuV8CFQjTU+MThOK2XmDn4orr7cHPdLTiv7kHUQKAJEyw2dw4x8gLdXH8rPo2fANwgdigmUyIcFl+ASMIQamdtkNO6O3bu+fQYCIU0dG/dlN4MdjsNjQ1TGO4VWm8d2x8tpcy778dOwVeJpEO8KOdT99OAYU96MtFwTTxSASUPuM6OOLw3drXjFDLIoiAaoqL3yKAM0gclm5BdrckSpGLiIdEpRIdYhtiJaYuEHwJAK+yhvl8X+UZq4ulUZu+gWOGIVNFH5hLOnKGwb5ZLKaol0RuRfKDLidQh3i6ZZwJJEItV56QGJaQBK/WDsBnGLt/0NzEyzpgalOR1mjNDLPcdkruTdZON/xd/LbwlKUQCiskky05CkqzFAGx/hbOedEwoA5KkfjK8E3eSu7H4Ken3saT1UM9+AGFCQDl8z4+ermUh0qAIITKnpRllTfMoAjRPYAXdU+9xnKIjJB3rO1GCkYmB3p5NEjee3A2dy4qwQW+F2+tvdE2syAN3Q0GA3bkrParzX/XcDr+4+ZQeKGuShxtPpin/e5CRa0ncOKQ/NUYN/qTkDf32C6Dn2YbGJEXoXA0KIXyeeAf9Wyhi5Ii7fSlwyQf4JJ6cUzUNb1x9NE7o0RKPnG+/2w+vH0gJnEeQzrgWNExcLtlcNjACAYUDOopHPrLCmoYPYydb35+/1AgH69WW4xvgMfKATbL2YP1vpQO9TbE9iAqLGIbT2H5wEYpmRoMiMwlE8h0zVh3rnwMYSeMYxDldltUqJTRTg2LrCiyiNnBS2LMPVQdfW7JuivOYDG2S/B0iE4+ZlZT93S1aps/5BuHXMdc5zp0joLg+rOYV9Kh5G1uv+AkP3X2XW8vxf/V/BCDRIP7qOeG1pJNsXsIDbflpzkSOGiHs0McFZUie3d3116q3hQO2Sp71YUmig/Mgi42z7M+/eQ844c/c0249TW6iSQVsEj+v4L0TEqyJR4lzpok/x2c/KC8pwIy/nW5pk0zwMnvnNy2hBAXKt7BJSyN6r3vq2h8uGzG5eWH7yaY5xv/NyoGeZ1H+d6cc0hrvXDsAB5XabgVtSwrQGvycXU1iyeN6Aif0kDNRNyQCAYUD0ichxqWKJc7VNNwVux5/rv89Lqv7K1o1MzpykzzOou8x6V4+QxG+INFZmVxqUoihYa7czD1PD0WU+S08gU0vT4JTH3dH1nGg4xAvPJYVMEwTz9WRUbgnamiLmlYaZrKQpjkiB7hP1I3zRAXXjjb+F+3qa00BhXkeKqYkk/CLIYDarpdwTjZyNNUjgkRZd7RuZkx6ixJ8B77XT5+DShgCrqO73TrH2On2E4fRakSY8SHVs4TnUTj2JuCE251lARikkm3ZBCts9zwbH8dOxCE1b+KDOL2IFET9T386+IRYj8Yu8VZQ99O50taSh4ZwNzl9D3K+3zvOtKkA/hG/AmhabuRukqBtibrpYWT8WMexKsiJx9hn44u1N8PmBh7DLlfwCkUpAcURnZkm6DxWakrrzkxci76gvp50sGGGvegofiJFDbD8lQCgSi9IHifWuO1L8NbVx+CWU7tj3J9PVmx55hAIKByQ/fZ/8/kLuwlzIH4SPwmTE30cOwcKCz711I5C0BwXMZcoHhJ1rJd9Wz4xlx4KG1tBv2yQnEUFgDzdPceuyp0YOPfqyKIK5+SX4JisSisWWUXGdQX1M28n3mmQ85gMZsisyNFvxzJ+XV4mZubcPWVyQiez/xzfvaXAi99lMWnRxcjIKnFeJE08IlaFd2PMjlOQMiAUAprAafISNpEVBg8+E3fEbuAyBz9wjjN8WQaqn+h8rYCSyaU1Ua/AR6Egytdq8vrq8d3tHe9biaHA7UtcHWTDHpxPJyfo57RZbwE377wTe9A+S7863KkNdcXvJ3q/JkXwyPdCoZCSY3Oq2Ne0i/MgqXVn23AYnXH5zauPxsIHzhRqxzRNwx7YmvVdSSbhCDMPhEIabh98iGVCb0wEAgoPxCxQW++iQWG+9+8kcZwrc6Y4l4GV1OsRQVjxjWkAcMMk4Oynjf+J9OSxs58lTkwOAA5nggNDkjleyOgTUSTK1kX844C1Kzi65gWivWqhbTwNCrtQ5OkCcxaSESYuJh7dPJFd7E75m1IblbF5jvH/GmYiTmHnuLTlGdLfzTu9a2hPiBaZLXvsEMt9XojBkghpmtMHisBf6q/DIr0zc5FgQeY4yV5bJxCKAacZVaK15JIsKiKh61wNCpf1loUoJ8sFyczkZzwovJRXOsV8DU3J4aO5IBcND+zmQWbemfiXU/Dcpf1wIbOLP4ERWJRQzklxkGF8GXeyQWsAJUCzC3q6wH1t5FzAnsAIKJqmOZyR2fLJEtpoFQBomoaMmPtTQCCgcOBFG0n2mcM7lCKPiO8lfVMAuO5qWPwt+j71PYawMvulDhgDvP81zoFeRrTDDJVT6ZhFyZ3aBjt5oXBnUel0NrPrNAb7TtjqatVnHucs3uw6UV67Rni9Bk2u5SLBaoFYFtd0Yf10msraU74VOlzbXCC5+WtgC2OV++uF0Tyrd9gRGu9O9R6FEwoBTQgeCRYfxU9xCqQCR21NA14xE10mMTYhCe9lM71KfKG8aBFY6Dq4TrJrEvwMzxRM/oojGOfjvhcC91UAg/4grpdzzI+v7g0nd8PArmV4+Dx3IYAVSGK6eK7o0KII5xzeTjlBYbaBl2QvFAJlhm3QdHqyAIYuJ4h/4xUFWoDO1+rxTPRfuDFCOP+nwNCcCQQCCgfUgHcZZyTxETkmdXDUvUdelVK76j2YeGSgbs/skOxAYBP2AXwhRpS9U6RZgWaZNEiP8tN7qjlmxTkqdFZo250QOwDyTDzKUMlcbBKndRigXm4oCpxHJJvzIggdR5Nz/bqfoUr/bT0/3brZRzu0KHIIKK/HhuLWupvRjnCsUxbmqDo0tOSwIuPkv+KumMGyuSDRmf5N4MStAdiiO8nelGnqJQksZTwjbtChcxfhTVDox91OAf6yGjj3X87fXO5r3oY9jmNe5isTxQVRfHD9sRg+wJ1IrJ4RSIoUMmHnKngmOg0axXmyTheHf6cdaaT61zQNPyVogfTX4cn4Q4SIQGqtxnrbUAgEFA5WbqtyPymJS46xF2jW7urIp5Ei6ZDBJJtSEQCYHYAloDBtq+csGCS7qgmR2eqqbwS169xJOBISLIQt6PJ5pgNW1b52j1gFq2kaEi4aWiFPioqAcu33htbKi09PtNBIJnbB68DZz1DmOFcwwsyZh8p38ObC3jQ/QgmIAPCf2BB8lTgOx3SxzZQy3h0RhEL0yXfiS+0UAMBcvTumxInJcNabwvay7VTGkVdIF/z1uz1EGIGmZXfxnXdHUYu0kWLRqTnSjxizaLdOmgb8oogXQJAlYPvaV/GB9mu6cw3617yIfS4Own6hJHQXOoV15fLhfJcOeHRDyDQCAYWDyhrb7u7WZQqiYQzqbqiR2bDAqyOj1CrkJOniIX0aFDIxnTlZMIsyu4v/+y5bmi8RaE1IRPKAW2a7agOWJw4CAKwpOYZ/Qu9zqa+1HAHFyxqqwZ9WAICao1zrXobfDydEWggzvLbvhc5sxR5BTnK3Jf4IAPhDnU06Zz6r4sIo5iToycicnMnn6YfrQ/Y+SIFngkawxtY4NQNA0hWI6K+n1T5hHXeFC7/P7n3eWG7LiTD+i/p7ECIzDN/9WRGixIV+0b65ZIEv9El+lyHMTvSwx1Rhc+xAhsy8PLTmOHEf5jFKjECWkcQqIRBQXHCBIGSLxHu/OxZrHh1GTb5KbKW/G2vEtjN5aUSI6eoCiqx6jdSOmPkf2AsKS+kQVlLDoiuGS5d1A25bCPS5UHjKWXUjcETNy9gfFUxMJ9OcHbVxZ5dd4UHjpWlOHhRlqGhQRJA52LbxFk2iim/1Y4H7KvBl4njrmLnbDoc0PM6ExJpPhRRy/PgS8HaC8SQ1Om0GdZ9+NNCJ8zbpHrgyXPhkvGbcDYU0zPn7Gfj0xuMs6vbv2rrkSmoAkD5DbKbudMCN88QrpFNjlq2i9YhkRCvFg6MenrP80Ukun55nO39zLd+o4a7637mcmT0IBBQX9GitEN3iF+37A6fda/AWmOjo9CI3EUNE2UokHefkgmitGKzTYgj422bgqKuNUGKyQC/agfxmRkZfE+3oXCv1iKACksRvkXyKArs24byxj2ZKHHIZqGhQrF9Jx1UgNb6Yk/4i/i2TjmlMRyDnvH0oxEuEA6rpQEdqTdLl6zjuyGeSzbELnKH3sk8Q+CxpmoaNaInVzY7EmHg/K9EhG4nFhQurrFIZDEqL8nBUp+bWfUxufanLFZkHuTE6pNxfEkUTLZs6+7hqaoT0ILsElDpE0qK1VoGjGp6A3bIHcNd6I9+Z5wqM/6JsFusshicB5f7774emadRfz542IVdNTQ1uuukmlJWVoWnTprjggguwdetWqox169Zh2LBhKCoqQuvWrXHHHXcgFsveB5auzvnvGMfp1ES0ABj8MND2cGD4R2lpj/SskvY4tfZJHFXzon3MwV4WMkbMr55xMnye/6pBMHWlIvU7uQD7yWdzxgPWx5N6GTl8SIbEywbQJidZqGeISSd+w0kSm+vJd9PfFXKo+EIDhvaxT6ZKJxxiCe2KdX6a+n9dtNRxbBUOsr8IVPtGUzS81eNf+F39HTDvYPa6CvdKXTQovp2lCYTCEST0xl1UQxrw6Y0DcVbfcjx7ST/3CyT4w2lOJmKl0GkPIPPDOJBlGpQmqGmwJjmSloocVguKfT0n85KzQtPlJ2YRPGtQDj30UGzevNn6++knO9HUbbfdhq+//hoff/wxxo8fj02bNuH88+004vF4HMOGDUNdXR0mT56Mt956C2+++Sb+/ncnxXW2wI+ToIkJcTsPAi++nsJxNwO/nwDkN8P0xCHcU+rT5CQLAKv0dtiJEntQ6KzXn6SiFl2Ayz915NMRglyA3WjceSB8Cc7p1wnvXHsMRt5imy2O8ZC0jTXxGHwgNKx1K0qYuJp3UW+vV6SYC+mO+usBAI/VMyYbzvrLCrj7qLBK47f/b+/c46Kq1v//mQszMFwVgQHl4h0UEBFFNEmFRKPMy7Ey8pJlpZhaeYmT5qUUtdvvVGYef6We8kR5vmUnM/OWZnmnQBQjL5hmIqYi8kW5DOv7B85m9lxghtl7Zg8879eLFzN7r1lr7bXW3uvZz3rW8xgu6wj1bNYHQjNc+qwy9B784P8z+zv9+DTWellld9GEZkqjsl9ztSXvUrPi4QiJXCZDn/C2eD+jD28HVnN4vL/prh6hBJT1k/uif6e2eGNcr0ZSOVdAMRaeusguOU9mSntN0Oz0l2HRE25atqDlCYHNAopSqYRWq+X+2rWr31Z38+ZNfPjhh3jrrbcwdOhQ9OnTB+vXr8eBAwdw6NAhAMCOHTtQWFiITz75BHFxcRgxYgReffVVrF69GtXV1Y0V6zTsGZzTaxr8Gdxg1qteP60danLspZqncBNe1mtQrE6n/2SsQRHwrjScgC04zmq0OMMlB6UbBnUNQBuDB4m5UDqNZNakDQo3+Rku6QjhSdLSG1FjYdutYLNuMOLurMUaXSNaursYt9V51rC8qN/dZbjEI5QG5c9bpv3OIAeyLtWrrC0tG94t3rjPLNpaGDqvun4WALjwE8bsOnXF7HFbKKusQbWTBRSlQrh71bi/Vz8WzxNQHqx6DZ3uNGN5AcCQyEDkPJ3UeBwgJ0fTdTNqyztQmWo20ITmtZmY3Gp27Ngxn399ATk60/kFgN0G+mJg82g4ffo0QkJC0KlTJ2RkZODChXpHTrm5uaipqUFqaiqXNjIyEmFhYTh4sD7I2sGDBxETE4OgoCAuTVpaGsrLy3Hy5EmLZVZVVaG8vJz35yiau8Qjk8lQAQ0eqlqKx6r/jlJYP9i+NDBq1KMfVE3VZ+XYGPi4K/HuY9apernc/I1Uu0JuNzPUoOgjA9uCoXZHafqGaPxQVTTi6VEmA6prG98jyr2cGy7pXG06SnCTjP8UiBlnetxO4eehuBCUwRt9I5oeY8YP20N1DXYgKln9Uquhlk4oOfXL/Ct38zMwJAcD1F6WPauiYXwaa0zaaCwsExiGI7g7btJjgs0mTY0KMnvcVsy5R0/u1gzPqc1Eaaf7gsaQy4CokIadKydYRPO3fVvDqPfr/w8TVntgLcZteY6F4NeShvlm5dgYDO4egOeGmg/KaQ9iK2r0+f9lIV4XT2MsEWwaaYmJidiwYQO2b9+ONWvWoLi4GIMGDcKtW7dQUlIClUoFPz8/3m+CgoJQUlICACgpKeEJJ/rz+nOWyM7Ohq+vL/cXGmpFxFCBsNcGJZ91wYE6W102N25D0RiP9A1D3ivDEB9mnUDETRhtIvgn7HQqxy+k6SWMXxqzKfAzUDub0TYYt4ibzPIuI7kMqG7KiYU+Q6GDKLaJAMb+f9Pj7n52Zbt8dAzeHNcL6yYmNJnWePjcMYhRU840d9PYv8Qzr2Yq77uf3DafI3r0493Yd43FOfnXrQ2fC/8LwLKQZfy23FyeqXkeZ+pCgEc+4ZaE56WZX6YVA3sczjWFTCbDmD4Nz1trdl7ZRZcUYEEpMOA5ccuxgLc7//nymW4wSsobvCI/0jcMG57o16hLeamivw+OsW44VtfNuZWxEptG24gRIzBu3DjExsYiLS0N27ZtQ1lZGT7/vHHDTnvJysrCzZs3ub+LFy+KWp4hQqpPhcAaecmWraE+HhZuNDuXHXhYYQR64Ow1yyfVXsCLv9V73zSDcZu8WzvKYlYyyPDR5AS4KWRNrIXDvm3F1jJpa0NQwWbiqVZibJ8O8DPSKlQ1oSkC6iec2W3ew6iqpVwEY76RbPPqdJPxA42Vyds2Kz99eqsNWtOWN3wOqBcSzKnogSa2u9pAIYtAavUbQNSD8Lk7wdkTKdlW4sOFXQowRC4D3NUOfrN2xH1ngVce4C/D6qCwOH6ERmxbF/116KDA36oX46gLCCl23UV+fn7o1q0bzpw5A61Wi+rqapSVlfHSXLlyBVpt/Tq3Vqs12dWj/65PYw61Wg0fHx/en6Nw1BYzY/6jM2+AKlR1lo2OxsyhXRCpdUBbCrGu7B1U733TDMZ99DszHUuv1zzMfR4aGYRTS4ebBDTTE6DfatmcHUfWMGZdw+cI0+U8MTE3fs4rOyGPNaisrQ1I2RjGywAD4uujaRsWb42AoK+v1c7IDONd3V3DtySv329h6cce9KYyQtnuWIMYvk/0yGUyVAXWG/sbhhwY0t1xS1iOJNjPA/+sTecdc1xXyjhD9/wY86Eq7Mrd6DqerX4eFUppOcYzxq6RXVFRgbNnzyI4OBh9+vSBm5sbdu/ezZ0vKirChQsXkJSUBABISkpCQUEBSktLuTQ7d+6Ej48PevSQVgwAPc3Vno6I5k+S0wfbZtPxvS7O7HFPAXYeAEBGYjheGGakhp70db0tyuRvBCmDo/ySsPkZYU0XrdaN4n1XNjILP3/f3TcLsd7kPA3itThYADb3NmhcBSGEcmPnXik9TIUBa4rhdvE0x7neXYNsS+U0aqzZTPSClFgvNlHBpi8UYgpDcjnA3DzR485HuLfqbe74fDO731oCchmwvDYDyVVvI/ZO/YuEPVGvbWWNbiTi73yA4k6PN53YTq7BFweCnO/HpzFsElDmzJmDffv24fz58zhw4ABGjx4NhUKB8ePHw9fXF08++SReeOEFfP/998jNzcUTTzyBpKQk9O/fHwAwbNgw9OjRAxMmTEB+fj6+++47LFiwAJmZmVCrnafWM8bbYH1R1czXyckDInjfbX1b+6auIdicoURvvEYqKB2TgedyRXirF3cSbur5PKl6vtV5qZTyhgeSWBoUI2d1jsSaucyerfV6jDUo+jwNJ9NJRveIOfTJb962zS09gPqlQZgXFqLbi6M51AtSYpmFWOWhWkBksvro35VwR5WBvZK7UrrxdOxBLxBfYEHckqclTavgZd8dM9fhI8p7i7k8zQVflRI21e6PP/7A+PHjce3aNQQEBOCee+7BoUOHEBBQr+57++23IZfLMXbsWFRVVSEtLQ3vv/8+93uFQoGtW7di2rRpSEpKgqenJyZNmoSlS5cKe1V24uWuxK2q+h0Njb1pN4bx72wfcA0/0KDeSOs/zyY1uz5OJay/qNkbv0HOTOkK/NTwfV9dE7Ymhhg+/8XSoHj4Ac8X1nvZdTDWDEPDCb2586Fx/BZ9noblzzHW4Jlh/+m/AADfF13lHW/ULuBvHwE//QNIf1Of2ASh7AqCfNS4Ut4Q3Vev6BFLg9I1yBu/ltzivm9+NkmUcvTIZTKr/Om0FMxdloebY4Qxw6LF0IqZG/O5/g9ghPww0C1N8PKEwCYBJScnp9Hz7u7uWL16NVavXm0xTXh4OLZtsxTpVhqIcevZc0Prg6Ul2OCQTFJ4+DWZ5F47tmUat+zwnlrojreH4pbp0pKlbpg/PBIrt/+K18fFNhwUehePIb7tm04jECqFnNu5ZM2DjyegNLNMwyWeWibnNAqGxbuJJWxHj63/u0tCeFusxTleEqGe/50DvHgCit6YtzkxjKwhe0wMvs7/k/veV+RngqXLaKHyiVmE0ChagxC75xrP3/RYlVwDPGllUFsn4IKv4+IjivRqR5Yt4lnQ5b76/1HmnYl1bOdp9rg1GAt/CrkMtU/twWe1gzG6aolVeUwb3BknlqThoTgDwUFE/xKOJC7Mj/tszVgyfCBX1VgZGNKIOoOo07+xUMHfuKPbWx9VNjUqEO9n8JfVyiqbsWRkBuPJS7/E05wo0NbgpVbivh7C+G+xBhlkZg2UxRLAnI25bnOUgGJIS9VQ2Yq0F6BaEPYMuBLmopoTQ/72IfDbd0D3EWZPNxqCvQlMjTwBN+8gzK992qZ8vFzQt4FVGMwvVhmmGqT59OnmLc/pDEShKrhBKfADt4sNQTxlMhnujwlGemwwvjl+GQBw+ebtJn5lHcY+SBo0KIJkb5Zm2ePYgIebArcNBFPzSzyiVsFpmHs5FUvYNCmbVw/h8zfnL8fWiN6OpmW8IroAtoy3nc/XbzF+vnoavtb1xwe6B8WplCNx9wViH7ZodzExKaLZWRvfzDKZTLg3vNi78W1e/E2Y/JyMuQewDEA7LxXv+/kV6SjOvh89Q6zXVBhiaCRbDaVBHzlvZnMzGBM1OmEezIZv1ycu3eQmczHfgI8UXxctb8BUKDUnoDhq0nY0xlc1fXBnh2mLDJtUjCJlMhmWjeY7DZV6P5KA4iBsWTbqGlQ/iX9ZNwjP1czkWc+3RHzclVDZ4cvBuG0FvbnHrAUWldX7YXFRugQ1rW34aHJf7rO+Oe1Z6jS0Qalibg1Gsk58HophYG4ooDzwbkPgVKk/+BvDUDvFwMwu8TjSz4sjMb6secOdtZ1anPYd05u/I0kh8WVsadfOSYhx75XfEVct64rot/P26+hvVz7G3dXY2+u3JyyHVLBcgGs/jJuqvUwmM4riKqwflCqoGrYZ251z8xHDKNdSHBxXttEwFK4YM99uf1VUmRxrCTjKa6zZskXWoACAh4q/I8mepXVH0EIX3e1DjPmovZ1h0FsiWzIH4ouf/8CUgR3tysdYICEDMz5NLWYo5TL+DgIBmk9nsM24CkpJ2CwIFXvHEEsGlM4wrBQKQ5mLAYgKNl2W9dM4znmZI3Hmo8NQOHKUhurx/uFNJ3IipEExgxhSNM2ZpnRs54kXh3VHG0/7lrBMbVDsyq7F0ZQvE3c3Bd9AT4AyDf2gMDQIQO+M7w03hQyvPtRTgFJsw8dd+EnVUqA+V17i4WtQmNnJUoy2lAJO7TUHaFCMsWdp3RFIu3ZOQhQvfi1js7AkMW5bV1avi4N5CeWVB3pA6+OOxSN78sa8EG9vhks8DyoOcQ/c/p38cWrpcEywwyi6uYgR+NPSWBNzaT/CX3gX/YYYan8sybYuLH81jkSuq8W2r42QgOIgaM4UD+O21X93lItqqVNnIajxlHs64mDWUHRs58lXLwtQZo0FT7KAOMaq1iDGS0KAt3lnfmJqUERzcHcXnoBqQUJpqcuoTrVBMfzcQtvXVkhAMYMYNx8NOBExEVDqDzzSN9QJlXEt9OOSr0GxP18daxBQPqsd7NI2GY3xTHIns8fFvF6rIzsLgNT9ZAiNM4ep2J5kXRESUMwghizRQp/PksBYoJQZ/W+t6A2zrZlk+DYo9recoQ3Kb6yDJFTWadHCbxW35NxPzBeSkb3qvR1HasWP5WRJFmqpGhSpXJcj6hEu8lKhEJCAYoYBneu3vaoFNCCy9aE/Ki5EsLJbOiYty/nxcHRNpIlVL9wCa1AMBZRqKCXx4I/UCh/B2BmaoelDOuPDSQn47GlxAwUCDcEPn0/txjsuge4UBWfar/GXeMQvL8jbXfxC7IS2GZsha0QUQttoMDxaK1ieMhtlHeP96oRljN9W9RMyLavVY5180tBWQjykaw3efeogl4SAAtRvNRbKiyzgnDHmppAjJcoxjgPZ3ZupRwhfuJNGbwqPM5ci+X5QHFAPF+hEElDM4KlW4pl7Owuap+1jwQVGj0QwfqbohTtzLWjJqLElY40GhWeDIkCZtQaPFh3kklnirBfEWpddhT3oNSi2OEN0ZZxqgyKwoXpLgJZ4HERLvaGlgHHTeqmUd4+btrkj1u2lgv7t12YbFEEctRlqUGSkzXJRut+9X1qLryHJPKclUg1nQxoUB2HruJfKfeIKmMTiufsaZO5tyIEbIKSDVRoUw7c3+wff6D5hwMn6z3WQS2cXj0SqIXX2zxuCqxVV6NjOE4D5gJwtkVa1xOMCkIDiIGwdcMapx8S3F64yLQxLLWtuonXkFk1nw4z+N4bQGpSi0tvcZx2TzhKPVOohdULbahDatmGXh+G9ZMl7bkvAmR6AZRY+O6I8qUJLPBLF+D7JHhPjnIq4AJaEP3OHX06PErk20sHdrd4Wh1khlAltg1JnkIsO8ma/cXe6+wYvFOTRuZk07butReDMXTxXDQIwkjfsekhAcRD2qOxUSjnUStrVYwlbBJSeIb4i10Y69A7zA2DdhMKTYQR4NhoKRQyyZmsuSNMtDQy7oTVpIR3Jjf+tdnYVJAct8TgIm21QDB4JM4Z0Ebg2LQtLbdta35a3PncPvvzlEmamdAVgnd2N0FOOYZn2+EERei2eBJ7mYagBWzU21ok1cRyOXspqqXY99kAaFBHZOKUf99nWB+3FG5VCV6fFYqlpxQzYJmWi2/ti4QM94OtRH3HW1jdeIQS7/62uxVZdIs7VabG3Lk46AoqguZlnUNd2DijFsRi227iElh1CQnU31lFUsPCO/RrDUB4iJVU9pEEREUODK1uF8b1FV7nPJFc3jsUlHmo5ANYu8TSkEkImKLl5BzNqZkIGBgZ5s4VFc3XRL11JlZa4A6MFXpJFvn7uHnz44zlOA+kwHNzIWl/yJEvcxR71XWt6OAiJcbtNHhDhlHo4HRuXeAQxkmUMgAwM+i3fwmlQ1k7o0+x6OUJ4kMyWagHxdndzdhUcRnetN1b9rZfDyzUcNdYYtjeX9U/0xaeHL2BBeg/RyhAKElBcAFqbtB5DR2zG80RrFVBsXuIRYbw1W0Axo3kJtCeGiANupRYon6BXB19MHhDB23pMCEvBHze5zxeuVyKxk78o5QzpHogh3QNFyVtoSEAhXB7D+Zfvyt7IgVsrFfSsiT3j76lCv4i2gAxoo7H/bdlYJmrupO2KNigtcZzJZDIsHtnT2dVo0egMbpryO7VOrIl0IAGFaFE0ZnnfWo1mXxoRiWO/X8fUQZ0sppHJZPjsmf7cZ3sxFlBakxawJS7xEOLTO8wP/8n9AwA4A/fWDgkoLkArerY3C8NYM0pFgxRyp0bHS9cS32ytoUugF35ecF+Tzp+EFCKsif9jVT4CL8U7QlD6s+x204kIohH6RbR1dhUkQSt9p3QMQj0LaTeK9TSqQWmlAgrgeM+UQgkWQjsFc8QQyDewJSAIa6kzGOph/mTrA5CAIiqtdzp0LIZzmKF63cQOgka7wxBKsIgwcnU/oLM4hoME4WzE3LnjqtAjW0yE0qCQpGM1jWlJSBPlOOoEetYuMTLMfCguxK78aAQQUqVOqJumBUE2KCIi1IRID1XrIQPFlkU7LzXvu8JONZgrGuvW1dWhupritLR0VDId2nvXx1y7c+eOk2vTfNzc3KBQCBM7jgQUERHMBsX1nqlO49l7O3OfjQ01SYXq+ijs1Pk+nhiGd/acwT1dhHNH/2jfUOQcvShYfoZUV1ejuLgYdXV1ouRPSIeuHrVYPKTeP0lxcbGTa2Mffn5+0Gq1dr8QkIAiIl5qal5HYHgPdDdw1GYMiSeOQyYTJ56IvYbOM1O6on8nf8QJ6C5foxLnPmeM4fLly1AoFAgNDYWcjKhaNJXVtbh4vT4GW0etY+MACQVjDJWVlSgtLQUABAcH25UfzaAi0jPEB0/d0xHBfh525UMv/o0T7u9p9rhxu3mSwOgwkrsGYN9vV5tOaCNKOydppUKOAQJqTwAgc0hnfPST8G+8tbW1qKysREhICDQa2tXR0nF3B5RuaqiUcri7CbNE4gw8POrnu9LSUgQGBtq13ENPbBGRyWRY8ID98Q4u33Td9UhH4KVW4sjfU+BmpP8PM3LLTRotxxHorW46UTOwd4lHDPy9xLlWna7ej49KpRIlf0J6+LQQB216gbqmpoYElJbOHzcqnV0FyRPoYxqfpY0nPdidhdpNHEnCXiNZV8QVDXuJ1o1QY7b13e0uCO0+I1yNjMRwUfKVogaFIAhxoNtdohhG5aXdJ4SrERUsjpFfa/YGTBCtDRJQJMoHj/fhPpN4QhD12GskS4jP5MmTIZPJsGLFCt7xLVu2cKr/vXv3QiaToayszAk1JFwFutslita3wabC2PiTIForJJ+4Bu7u7li5ciVu3LghSH6TJ0/G4sWLBcmLcB3sut1XrFgBmUyG2bNnc8cGDx4MmUzG+3v22Wd5v7tw4QLS09Oh0WgQGBiIuXPnora21p6qtDgMt5n5k7EnQQAgDYqrkJqaCq1Wi+zsbNHLYoxh8eLFCAsLg1qtRkhICGbOnMmdr6qqwpw5c9C+fXt4enoiMTERe/fu5c5v2LABfn5+2LJlC7p27Qp3d3ekpaXh4kVxnO8R1tPsXTxHjx7F2rVrERsba3Ju6tSpWLp0KffdcA+/TqdDeno6tFotDhw4gMuXL2PixIlwc3PD8uXLm1udFg2ZoBBEPa1ZmcgYw+0anVPK9nBT2LQzQ6FQYPny5Xjssccwc+ZMdOjQQbS6/c///A/efvtt5OTkoGfPnigpKUF+fj53fsaMGSgsLEROTg5CQkLw5ZdfYvjw4SgoKEDXrl0BAJWVlVi2bBn+9a9/QaVSYfr06Xj00Ufx008/iVZvommaJaBUVFQgIyMD69atw2uvvWZyXqPRQKvVmv3tjh07UFhYiF27diEoKAhxcXF49dVXMX/+fCxevJj2/JtB6JDzBOFIhLRrdQUjWZVIUtTtGh16vPKdKHk3ReHSNJs95o4ePRpxcXFYtGgRPvzwQ5FqVq+R12q1SE1NhZubG8LCwtCvXz/u3Pr163HhwgWEhNQHmpwzZw62b9+O9evXcy/FNTU1eO+995CYmAgA2LhxI6KionDkyBEuL8LxNOtOyszMRHp6OlJTU82e37RpE9q1a4fo6GhkZWWhsrLBj8fBgwcRExODoKAg7lhaWhrKy8tx8uRJs/lVVVWhvLyc99eaoG3GBFHPHzduO7sKTTJveHdnV0EyrFy5Ehs3bsSpU6ds+t2mTZvg5eXF/W3atAnLly/nHdu/fz8AYNy4cbh9+zY6deqEqVOn4ssvv+RMBgoKCqDT6dCtWzfeb/ft24ezZ89y5SmVSvTt25f7HhkZCT8/P5vrTQiLzRqUnJwc/Pzzzzh69KjZ84899hjCw8MREhKC48ePY/78+SgqKsIXX3wBACgpKeEJJwC47yUlJWbzzM7OxpIlS2ytaouBthkTroyQOo9wf+m7fFeKFFHbw02BwqVpouRtTdnNITk5GWlpacjKysLkyZOt/t3IkSM5bQYAzJ8/H+3bt+fZlrRv3x4AEBoaiqKiIuzatQs7d+7E9OnT8frrr2Pfvn2oqKiAQqFAbm6uiUdTLy+vZl0T4ThsElAuXryIWbNmYefOnXB3N/XcCQBPP/009zkmJgbBwcFISUnB2bNn0blzZ7O/aYqsrCy88MIL3Pfy8nKEhoY2Ky9XhJZ4CFdGSA2gK8RTUosUR0Umk4kWmFBMVqxYgbi4OHTvbr1mydvbG97e3rzvbdu2RZcuXcym9/DwwIMPPogHH3wQmZmZiIyMREFBAXr37g2dTofS0lIMGjTIYnm1tbU4duwYt5xTVFSEsrIyREVFWV1nQnhsGu25ubkoLS1FfHw8d0yn0+GHH37Ae++9h6qqKhMpVS8FnzlzBp07d4ZWq8WRI0d4aa5cuQIAFu1W1Go11Gpx4l24AiSeEK0Zw8jIChewQRndu72zqyApYmJikJGRgXfeecfkXEFBAU8Qkclk6NWrl035b9iwATqdDomJidBoNPjkk0/g4eGB8PBw+Pv7IyMjAxMnTsSbb76J3r174+rVq9i9ezdiY2ORnp4OAHBzc8Nzzz2Hd955B0qlEjNmzED//v3J/sTJ2GSDkpKSgoKCAuTl5XF/CQkJyMjIQF5entmgQHl5eQAawi4nJSWhoKCAC8cMADt37oSPjw969LA/sB5BGPLqqGgAwIwh5t+8COljaBirEGn5REhcORKtWCxduhR1dXUmx5OTk9G7d2/ur0+fPmZ+3Th+fn5Yt24dBg4ciNjYWOzatQtff/01/P39AQDr16/HxIkT8eKLL6J79+4YNWoUjh49irCwMC4PjUaD+fPn47HHHsPAgQPh5eWFzz77rPkXTAiCTRoUb29vREdH8455enrC398f0dHROHv2LP7973/j/vvvh7+/P44fP47nn38eycnJ3HbkYcOGoUePHpgwYQJWrVqFkpISLFiwAJmZma1aS0KIw4T+4fhbfAd4qGjScFXkMkC/udYVBJTWzoYNG0yORUREoKqqivs+ePBgm2zrzOWpZ9SoURg1apTF825ubliyZEmTdoxjxozBmDFjrK4TIT6C7odTqVTYtWsXhg0bhsjISLz44osYO3Ysvv76ay6NQqHA1q1boVAokJSUhMcffxwTJ07k+U0hCCEh4cS1mZcWyX0mAYUgWg92W1wZeuQLDQ3Fvn37mvxNeHg4tm3bZm/RBEG0Aob1DMKybfXbPV3BDwpBEMLQiv0yug70SCaIesTawku0XiZPnkxBCyUKCSgEQUgaQ1MFOQkoBNFqIAHFBfBydz3fBwQhFIamlGSDQhCtBxJQJMz0wZ0R6K3GzKFdnV0VgnAahrs9aImHIFoPJKBImHnDI3H47ykI9DHvtZcgpIy3CJo/qdrITugf7uwqEESLgwQUiWNLiHOCaIm4wj3gAlUkCJeDBBSCIERBqDnbcFVHqmGppFovgnBlSEAhCEIUhNJ8hLbRoHeYHwZ28YdaSY8swvGcP38eMpmMC91iK3v37oVMJnPKduYNGzbAz8/P4eUKAd3tBEGIglDLHnK5DF9MG4BPnkx0ieWe1s7Vq1cxbdo0hIWFQa1WQ6vVIi0tDT/99JOzq2YVkydPNnGdHxoaisuXL5uEeiHEhfavEgQhCkKKElIXTBjFHOcYO3YsqqursXHjRnTq1AlXrlzB7t27ce3aNWdXrdkoFApotVpnV8Np1NTUwM3NzeHlkgaFIAiCEISysjLs378fK1euxJAhQxAeHo5+/fohKysLI0eO5KV76qmnEBAQAB8fHwwdOhT5+fnc+cWLFyMuLg4fffQRwsLC4OXlhenTp0On02HVqlXQarUIDAzEsmXLeOW/9dZbiImJgaenJ0JDQzF9+nRUVFRw5/XLHd999x2ioqLg5eWF4cOH4/Lly1y5GzduxFdffQWZTAaZTIa9e/eaXeI5efIkHnjgAfj4+MDb2xuDBg3C2bNnG22f3NxcJCQkQKPRYMCAASgqKuKd/+qrrxAfHw93d3d06tQJS5YsQW1trdXXp7/GsLAwaDQajB492qxg2FQ5MpkMa9aswciRI+Hp6Ylly5bhxo0byMjIQEBAADw8PNC1a1esX7++0eu1FxJQCIIQhcUjewIApg3u7OSaiI9DjGQZA6r/1zl/Vl6gl5cXvLy8sGXLFl70YmPGjRuH0tJSfPvtt8jNzUV8fDxSUlJw/fp1Ls3Zs2fx7bffYvv27fj000/x4YcfIj09HX/88Qf27duHlStXYsGCBTh8+DD3G7lcjnfeeQcnT57Exo0bsWfPHsybN49XdmVlJd544w18/PHH+OGHH3DhwgXMmTMHADBnzhw8/PDDnNBy+fJlDBgwwKT+ly5dQnJyMtRqNfbs2YPc3FxMmTKFN8mb4+WXX8abb76JY8eOQalUYsqUKdy5/fv3Y+LEiZg1axYKCwuxdu1abNiwgSeENXV9hw8fxpNPPokZM2YgLy8PQ4YMwWuvvcargzXlAPXC2ujRo1FQUIApU6Zg4cKFKCwsxLfffotTp05hzZo1aNeuXaPXazfMBbl58yYDwG7evOnsqhAE0QjXK6qcXQWHkPXFcRY+fysLn79VsDxv377NCgsL2e3bt+sPVFUwtsjHOX9VFVbX+z//+Q9r06YNc3d3ZwMGDGBZWVksPz+fO79//37m4+PD7ty5w/td586d2dq1axljjC1atIhpNBpWXl7OnU9LS2MRERFMp9Nxx7p3786ys7Mt1mXz5s3M39+f+75+/XoGgJ05c4Y7tnr1ahYUFMR9nzRpEnvooYd4+RQXFzMA7JdffmGMMZaVlcU6duzIqqurrWgRxr7//nsGgO3atYs79s033zAAXP+mpKSw5cuX83738ccfs+DgYKuvb/z48ez+++/npXnkkUeYr68v992acgCw2bNn89I8+OCD7IknnmjiSusxGbsG2DJ/kwaFIAjRaOOpcnYVHAJtM25g7Nix+PPPP/Hf//4Xw4cPx969exEfH48NGzYAAPLz81FRUQF/f39O4+Ll5YXi4mLeEklERAS8vb2570FBQejRowfkcjnvWGlpKfd9165dSElJQfv27eHt7Y0JEybg2rVrqKys5NJoNBp07tyg1QsODublYQ15eXkYNGiQzXYZsbGxvHIBcGXn5+dj6dKlvDaZOnUqLl++zNW/qes7deoUEhMTeWUmJSXxvltTDgAkJCTwfjdt2jTk5OQgLi4O8+bNw4EDB2y69uZARrIEQRCugJsG+PufzivbBtzd3XHffffhvvvuw8KFC/HUU09h0aJFmDx5MioqKhAcHIy9e/ea/M5wO6zx5C+Tycweq6urA1C/FfiBBx7AtGnTsGzZMrRt2xY//vgjnnzySVRXV0Oj0VjMl9koYXp4eNiUXo9h2XrDb339KyoqsGTJEowZM8bkd+7u7lZfX1M0VY4eT09P3rkRI0bg999/x7Zt27Bz506kpKQgMzMTb7zxhlXlNgcSUAiCIOzGASoUmQxQeTadToL06NEDW7ZsAQDEx8ejpKQESqUSERERgpWRm5uLuro6vPnmm5yW5fPPP7c5H5VKBZ1O12ia2NhYbNy4UdDdLfHx8SgqKkKXLl3Mnrfm+qKiong2OQBw6NAhm8ppjICAAEyaNAmTJk3CoEGDMHfuXFEFFFriIQiCsJNeHfycXQVJcO3aNQwdOhSffPIJjh8/juLiYmzevBmrVq3CQw89BABITU1FUlISRo0ahR07duD8+fM4cOAAXn75ZRw7dqzZZXfp0gU1NTV49913ce7cOXz88cf44IMPbM4nIiICx48fR1FREf766y/U1NSYpJkxYwbKy8vx6KOP4tixYzh9+jQ+/vhjk105tvDKK6/gX//6F5YsWYKTJ0/i1KlTyMnJwYIFC6y+vpkzZ2L79u144403cPr0abz33nvYvn27TeU0Vr+vvvoKZ86cwcmTJ7F161ZERUU1+3qtgQQUgiAIOxmXEIrsMTHY9UKys6viVLy8vJCYmIi3334bycnJiI6OxsKFCzF16lS89957AOqXNrZt24bk5GQ88cQT6NatGx599FH8/vvvCAoKanbZvXr1wltvvYWVK1ciOjoamzZtQnZ2ts35TJ06Fd27d0dCQgICAgLMOpjz9/fHnj17UFFRgXvvvRd9+vTBunXr7NKmpKWlYevWrdixYwf69u2L/v374+2330Z4eLjV19e/f3+sW7cO//jHP9CrVy/s2LHDRPBoqhxLqFQqZGVlITY2FsnJyVAoFMjJyWn29VqDjNm6+CYBysvL4evri5s3b8LHx8fZ1SEIghCcO3fuoLi4GB07duTZBhCE1Gls7Noyf5MGhSAIgiAIyUECCkEQBEEQkoMEFIIgCIIgJAcJKARBEARBSA4SUAiCIAiCkBwkoBAEQUgYF9xoSbRy9N5x7YU8yRIEQUgQNzc3yGQyXL16FQEBAZxrdIKQKowxVFdX4+rVq5DL5VCp7IvFRQIKQRCEBFEoFOjQoQP++OMPnD9/3tnVIQir0Wg0CAsL4wV2bA4koBAEQUgULy8vdO3a1ay7dYKQIgqFAkqlUhCNHwkoBEEQEkahUEChUDi7GgThcMhIliAIgiAIyUECCkEQBEEQkoMEFIIgCIIgJIdL2qDo/QKUl5c7uSYEQRAEQViLft62xr+PSwoot27dAgCEhoY6uSYEQRAEQdjKrVu34Ovr22gaGXNBN4V1dXX4888/4e3tLchWpvLycoSGhuLixYvw8fERoIaEUFDfSBfqG+lCfSNdWnvfMMZw69YthISENOknxSU1KHK5HB06dBA8Xx8fn1Y5YFwB6hvpQn0jXahvpEtr7pumNCd6yEiWIAiCIAjJQQIKQRAEQRCSgwQUAGq1GosWLYJarXZ2VQgjqG+kC/WNdKG+kS7UN9bjkkayBEEQBEG0bEiDQhAEQRCE5CABhSAIgiAIyUECCkEQBEEQkoMEFIIgCIIgJAcJKABWr16NiIgIuLu7IzExEUeOHHF2lVyW7Oxs9O3bF97e3ggMDMSoUaNQVFTES3Pnzh1kZmbC398fXl5eGDt2LK5cucJLc+HCBaSnp0Oj0SAwMBBz585FbW0tL83evXsRHx8PtVqNLl26YMOGDSb1ob61zIoVKyCTyTB79mzuGPWN87h06RIef/xx+Pv7w8PDAzExMTh27Bh3njGGV155BcHBwfDw8EBqaipOnz7Ny+P69evIyMiAj48P/Pz88OSTT6KiooKX5vjx4xg0aBDc3d0RGhqKVatWmdRl8+bNiIyMhLu7O2JiYrBt2zZxLtoF0Ol0WLhwITp27AgPDw907twZr776Ki+WDPWNSLBWTk5ODlOpVOyjjz5iJ0+eZFOnTmV+fn7sypUrzq6aS5KWlsbWr1/PTpw4wfLy8tj999/PwsLCWEVFBZfm2WefZaGhoWz37t3s2LFjrH///mzAgAHc+draWhYdHc1SU1PZL7/8wrZt28batWvHsrKyuDTnzp1jGo2GvfDCC6ywsJC9++67TKFQsO3bt3NpqG8tc+TIERYREcFiY2PZrFmzuOPUN87h+vXrLDw8nE2ePJkdPnyYnTt3jn333XfszJkzXJoVK1YwX19ftmXLFpafn89GjhzJOnbsyG7fvs2lGT58OOvVqxc7dOgQ279/P+vSpQsbP348d/7mzZssKCiIZWRksBMnTrBPP/2UeXh4sLVr13JpfvrpJ6ZQKNiqVatYYWEhW7BgAXNzc2MFBQWOaQyJsWzZMubv78+2bt3KiouL2ebNm5mXlxf7xz/+waWhvhGHVi+g9OvXj2VmZnLfdTodCwkJYdnZ2U6sVcuhtLSUAWD79u1jjDFWVlbG3Nzc2ObNm7k0p06dYgDYwYMHGWOMbdu2jcnlclZSUsKlWbNmDfPx8WFVVVWMMcbmzZvHevbsySvrkUceYWlpadx36lvz3Lp1i3Xt2pXt3LmT3XvvvZyAQn3jPObPn8/uuecei+fr6uqYVqtlr7/+OnesrKyMqdVq9umnnzLGGCssLGQA2NGjR7k03377LZPJZOzSpUuMMcbef/991qZNG66v9GV3796d+/7www+z9PR0XvmJiYnsmWeese8iXZT09HQ2ZcoU3rExY8awjIwMxhj1jZi06iWe6upq5ObmIjU1lTsml8uRmpqKgwcPOrFmLYebN28CANq2bQsAyM3NRU1NDa/NIyMjERYWxrX5wYMHERMTg6CgIC5NWloaysvLcfLkSS6NYR76NPo8qG8tk5mZifT0dJP2o75xHv/973+RkJCAcePGITAwEL1798a6deu488XFxSgpKeG1ma+vLxITE3l94+fnh4SEBC5Namoq5HI5Dh8+zKVJTk6GSqXi0qSlpaGoqAg3btzg0jTWf62NAQMGYPfu3fjtt98AAPn5+fjxxx8xYsQIANQ3YuKSwQKF4q+//oJOp+M9bAEgKCgIv/76q5Nq1XKoq6vD7NmzMXDgQERHRwMASkpKoFKp4Ofnx0sbFBSEkpISLo25PtGfayxNeXk5bt++jRs3blDfmiEnJwc///wzjh49anKO+sZ5nDt3DmvWrMELL7yAv//97zh69ChmzpwJlUqFSZMmcW1rrs0M2z0wMJB3XqlUom3btrw0HTt2NMlDf65NmzYW+0+fR2vjpZdeQnl5OSIjI6FQKKDT6bBs2TJkZGQAAPWNiLRqAYUQl8zMTJw4cQI//vijs6tCALh48SJmzZqFnTt3wt3d3dnVIQyoq6tDQkICli9fDgDo3bs3Tpw4gQ8++ACTJk1ycu1aN59//jk2bdqEf//73+jZsyfy8vIwe/ZshISEUN+ITKte4mnXrh0UCoXJLoUrV65Aq9U6qVYtgxkzZmDr1q34/vvv0aFDB+64VqtFdXU1ysrKeOkN21yr1ZrtE/25xtL4+PjAw8OD+tYMubm5KC0tRXx8PJRKJZRKJfbt24d33nkHSqUSQUFB1DdOIjg4GD169OAdi4qKwoULFwA0tG1jbabValFaWso7X1tbi+vXrwvSf621b+bOnYuXXnoJjz76KGJiYjBhwgQ8//zzyM7OBkB9IyatWkBRqVTo06cPdu/ezR2rq6vD7t27kZSU5MSauS6MMcyYMQNffvkl9uzZY6Ky7NOnD9zc3HhtXlRUhAsXLnBtnpSUhIKCAt4NvXPnTvj4+HAP8aSkJF4e+jT6PKhvTUlJSUFBQQHy8vK4v4SEBGRkZHCfqW+cw8CBA0224//2228IDw8HAHTs2BFarZbXZuXl5Th8+DCvb8rKypCbm8ul2bNnD+rq6pCYmMil+eGHH1BTU8Ol2blzJ7p37442bdpwaRrrv9ZGZWUl5HL+VKlQKFBXVweA+kZUnG2l62xycnKYWq1mGzZsYIWFhezpp59mfn5+vF0KhPVMmzaN+fr6sr1797LLly9zf5WVlVyaZ599loWFhbE9e/awY8eOsaSkJJaUlMSd129lHTZsGMvLy2Pbt29nAQEBZreyzp07l506dYqtXr3a7FZW6tvGMdzFwxj1jbM4cuQIUyqVbNmyZez06dNs06ZNTKPRsE8++YRLs2LFCubn58e++uordvz4cfbQQw+Z3crau3dvdvjwYfbjjz+yrl278raylpWVsaCgIDZhwgR24sQJlpOTwzQajclWVqVSyd544w126tQptmjRoha9lbUpJk2axNq3b89tM/7iiy9Yu3bt2Lx587g01Dfi0OoFFMYYe/fdd1lYWBhTqVSsX79+7NChQ86ukssCwOzf+vXruTS3b99m06dPZ23atGEajYaNHj2aXb58mZfP+fPn2YgRI5iHhwdr164de/HFF1lNTQ0vzffff8/i4uKYSqVinTp14pWhh/q2cYwFFOob5/H111+z6OhoplarWWRkJPvnP//JO19XV8cWLlzIgoKCmFqtZikpKayoqIiX5tq1a2z8+PHMy8uL+fj4sCeeeILdunWLlyY/P5/dc889TK1Ws/bt27MVK1aY1OXzzz9n3bp1YyqVivXs2ZN98803wl+wi1BeXs5mzZrFwsLCmLu7O+vUqRN7+eWXeduBqW/EQcaYgTs8giAIgiAICdCqbVAIgiAIgpAmJKAQBEEQBCE5SEAhCIIgCEJykIBCEARBEITkIAGFIAiCIAjJQQIKQRAEQRCSgwQUgiAIgiAkBwkoBEEQBEFIDhJQCIIgCIKQHCSgEARBEAQhOUhAIQiCIAhCcpCAQhAEQRCE5Pg/mpbQ/U4IyUYAAAAASUVORK5CYII=", "text/plain": [ - "
          " + "800" ] }, + "execution_count": 181, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "df_dif.rolling(window=500).mean().plot()" + "tokenizer.model_max_length" ] }, { "cell_type": "code", - "execution_count": 29, - "id": "0953311e-6a1b-4590-980a-33d805e48a99", + "execution_count": 132, + "id": "c484585f-6205-4d3c-8956-97cd739bb211", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "application/vnd.jupyter.widget-view+json": { + "model_id": "4016d00e61344949bf3abc6cb362f1b3", + "version_major": 2, + "version_minor": 0 + }, "text/plain": [ - "
          " + "Filter: 0%| | 0/17720 [00:00= 4: # B-сплайн требует минимум k+1 точек\n", - " spline1 = make_interp_spline(x1_unique, y1_unique, k=2) # k=3 для кубического сплайна\n", - " x1_fine = np.linspace(x1_unique.min(), x1_unique.max(), 300)\n", - " \n", - " axes[0].scatter(x1, y1, alpha=0.6, label='Данные')\n", - " axes[0].plot(x1_fine, spline1(x1_fine), 'r-', linewidth=2, label='B-сплайн (k=3)')\n", - "else:\n", - " axes[0].scatter(x1, y1, alpha=0.6, label='Данные (недостаточно для сплайна)')\n", - "\n", - "axes[0].set_xlabel('Количество столбцов')\n", - "axes[0].set_ylabel('Процент (%)')\n", - "axes[0].set_title('B-сплайн аппроксимация')\n", - "axes[0].legend()\n", - "axes[0].grid(True, alpha=0.3)\n", - "\n", - "# График 2\n", - "x2 = df_dif['count rows'].values\n", - "y2 = df_dif['percent'].values\n", - "\n", - "sort_idx2 = np.argsort(x2)\n", - "x2_sorted = x2[sort_idx2]\n", - "y2_sorted = y2[sort_idx2]\n", - "\n", - "x2_unique, idx2 = np.unique(x2_sorted, return_index=True)\n", - "y2_unique = y2_sorted[idx2]\n", - "\n", - "if len(x2_unique) >= 4:\n", - " spline2 = make_interp_spline(x2_unique, y2_unique, k=4)\n", - " x2_fine = np.linspace(x2_unique.min(), x2_unique.max(), 300)\n", - " \n", - " axes[1].scatter(x2, y2, alpha=0.6, label='Данные')\n", - " axes[1].plot(x2_fine, spline2(x2_fine), 'r-', linewidth=2, label='B-сплайн (k=3)')\n", - "else:\n", - " axes[1].scatter(x2, y2, alpha=0.6, label='Данные (недостаточно для сплайна)')\n", - "\n", - "axes[1].set_xlabel('Количество строк')\n", - "axes[1].set_ylabel('Процент (%)')\n", - "axes[1].set_title('B-сплайн аппроксимация')\n", - "axes[1].legend()\n", - "axes[1].grid(True, alpha=0.3)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n" + "test.filter(lambda x: True if x[\"pandas_code\"] is not None and x[\"pandas_code\"] != \"\" else False)" ] }, { "cell_type": "code", - "execution_count": 110, - "id": "a4476a9f-0418-43fe-a1d1-ae8191394a2d", + "execution_count": 130, + "id": "3cd05d58-c111-472f-8edd-0dc6467329b0", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", "text/plain": [ - "
          " + "DatasetDict({\n", + " train: Dataset({\n", + " features: ['table_caption', 'table_csv', 'table_text', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'label', 'statement', 'pandas_code', 'pandas_eval'],\n", + " num_rows: 70254\n", + " })\n", + " val: Dataset({\n", + " features: ['table_caption', 'table_csv', 'table_text', 'semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', 'label', 'statement', 'pandas_code', 'pandas_eval'],\n", + " num_rows: 17720\n", + " })\n", + "})" ] }, + "execution_count": 130, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "# Настройка стиля\n", - "sns.set_style(\"whitegrid\")\n", - "\n", - "# Создаем фигуру с двумя подграфиками\n", - "fig, axes = plt.subplots(1, 2, figsize=(15, 6))\n", - "\n", - "# Первый график с регрессионной линией\n", - "sns.regplot(data=df_dif, x='count columns', y='percent_sem', \n", - " scatter_kws={'alpha': 0.6}, line_kws={'color': 'red'}, ax=axes[0])\n", - "axes[0].set_xlabel('Количество столбцов')\n", - "axes[0].set_ylabel('Эффективность (%)')\n", - "axes[0].set_title('Зависимость эффективности метода от количества столбцов')\n", - "\n", - "# Второй график с регрессионной линией\n", - "sns.regplot(data=df_dif, x='count rows', y='percent_sem', \n", - " scatter_kws={'alpha': 0.6}, line_kws={'color': 'red'}, ax=axes[1])\n", - "axes[1].set_xlabel('Количество строк')\n", - "axes[1].set_ylabel('Эффективность (%)')\n", - "axes[1].set_title('Зависимость эффективности метода от количества строк')\n", - "\n", - "plt.tight_layout()\n", - "plt.savefig('./row_col_efficent.png',dpi=300)\n", - "plt.show()\n" + "data" ] }, { "cell_type": "code", - "execution_count": 109, - "id": "320ebb0e-c4b9-4159-9ee4-dcbb54ccc4f4", + "execution_count": 107, + "id": "49da57b4-ca24-4f94-a27b-b9c68c73f80c", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "application/vnd.jupyter.widget-view+json": { + "model_id": "1bbfe416c84249598d2b7b7136cad746", + "version_major": 2, + "version_minor": 0 + }, "text/plain": [ - "
          " + "Saving the dataset (0/1 shards): 0%| | 0/3292 [00:00 1\u001b[0m \u001b[43mprocess_data\u001b[49m[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msemtab_query\u001b[39m\u001b[38;5;124m'\u001b[39m]\n", - "\u001b[0;31mNameError\u001b[0m: name 'process_data' is not defined" - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "eb67f1b60143423dac2c721905b78e08", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Saving the dataset (0/1 shards): 0%| | 0/3292 [00:00\n", + "\n", + "
          \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          table_csvtable_textlabelstatementtable_caption
          02-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1haroldo be mention as a brazil scorer for 2 di...1919 in brazilian football
          12-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...14 of the 5 game be for the south american cham...1919 in brazilian football
          22-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1friedenreich be mention as a brazil scorer for...1919 in brazilian football
          32-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...1there be 2 different game where the highest sc...1919 in brazilian football
          42-15401676-3.html.csvdate#result#score#brazil scorers#competition\\n...14 of the 5 game be play in may 19191919 in brazilian football
          ..................
          922781-20861261-4.html.csvround#choice#player#position#height#weight#col...1jerraud power , 192 pound (87 kg) , be choose ...2009 indianapolis colts season
          922791-20861261-4.html.csvround#choice#player#position#height#weight#col...0terrence taylor play for auburn2009 indianapolis colts season
          922801-20861261-4.html.csvround#choice#player#position#height#weight#col...0curtis painter 's position be quarterback and ...2009 indianapolis colts season
          922811-20861261-4.html.csvround#choice#player#position#height#weight#col...0the player who weigh the most play in round 32009 indianapolis colts season
          922821-28578233-1.html.csvime exchange (including spot , credit and forw...1for 2007 / 08 , metal - volume (thousand tons)...iran mercantile exchange
          \n", + "

          92022 rows × 5 columns

          \n", + "" + ], + "text/plain": [ + " table_csv \\\n", + "0 2-15401676-3.html.csv \n", + "1 2-15401676-3.html.csv \n", + "2 2-15401676-3.html.csv \n", + "3 2-15401676-3.html.csv \n", + "4 2-15401676-3.html.csv \n", + "... ... \n", + "92278 1-20861261-4.html.csv \n", + "92279 1-20861261-4.html.csv \n", + "92280 1-20861261-4.html.csv \n", + "92281 1-20861261-4.html.csv \n", + "92282 1-28578233-1.html.csv \n", + "\n", + " table_text label \\\n", + "0 date#result#score#brazil scorers#competition\\n... 1 \n", + "1 date#result#score#brazil scorers#competition\\n... 1 \n", + "2 date#result#score#brazil scorers#competition\\n... 1 \n", + "3 date#result#score#brazil scorers#competition\\n... 1 \n", + "4 date#result#score#brazil scorers#competition\\n... 1 \n", + "... ... ... \n", + "92278 round#choice#player#position#height#weight#col... 1 \n", + "92279 round#choice#player#position#height#weight#col... 0 \n", + "92280 round#choice#player#position#height#weight#col... 0 \n", + "92281 round#choice#player#position#height#weight#col... 0 \n", + "92282 ime exchange (including spot , credit and forw... 1 \n", + "\n", + " statement \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 \n", + "... ... \n", + "92278 jerraud power , 192 pound (87 kg) , be choose ... \n", + "92279 terrence taylor play for auburn \n", + "92280 curtis painter 's position be quarterback and ... \n", + "92281 the player who weigh the most play in round 3 \n", + "92282 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " table_caption \n", + "0 1919 in brazilian football \n", + "1 1919 in brazilian football \n", + "2 1919 in brazilian football \n", + "3 1919 in brazilian football \n", + "4 1919 in brazilian football \n", + "... ... \n", + "92278 2009 indianapolis colts season \n", + "92279 2009 indianapolis colts season \n", + "92280 2009 indianapolis colts season \n", + "92281 2009 indianapolis colts season \n", + "92282 iran mercantile exchange \n", + "\n", + "[92022 rows x 5 columns]" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "p,t = (1,12)" + "dd2_unique = dd2.drop_duplicates(subset=['table_text', 'statement'])\n", + "dd2_unique" ] }, { "cell_type": "code", - "execution_count": 113, - "id": "9baa5180-c4b7-48e1-85fd-8d1460bd16dd", + "execution_count": 60, + "id": "456c8ce2-20a3-48b5-88dd-83703c8265d3", "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          statementtable_textpandas_codepandas_eval
          0haroldo be mention as a brazil scorer for 2 di...date#result#score#brazil scorers#competition\\n...df['brazil scorers'].apply(lambda x: 'haroldo'...True
          14 of the 5 game be for the south american cham...date#result#score#brazil scorers#competition\\n...(df['competition'].value_counts()['south ameri...True
          2friedenreich be mention as a brazil scorer for...date#result#score#brazil scorers#competition\\n...df['brazil scorers'].str.contains('friedenreic...True
          3there be 2 different game where the highest sc...date#result#score#brazil scorers#competition\\n...len(df[df['score'].str.extract(r'^(\\d+) - \\d+$...True
          44 of the 5 game be play in may 1919date#result#score#brazil scorers#competition\\n...(df['date'].str.contains('may') & df['date'].s...True
          ...............
          88215jerraud power , 192 pound (87 kg) , be choose ...round#choice#player#position#height#weight#col...df[(df['player'] == 'jerraud powers') & (df['w...True
          88216terrence taylor play for auburnround#choice#player#position#height#weight#col...df[df['player'] == 'terrance taylor']['college...False
          88217curtis painter 's position be quarterback and ...round#choice#player#position#height#weight#col...(df[df['player'] == 'curtis painter']['positio...False
          88218the player who weigh the most play in round 3round#choice#player#position#height#weight#col...(df.loc[df['weight'].str.extract('(\\\\d+)').ast...False
          88219for 2007 / 08 , metal - volume (thousand tons)...ime exchange (including spot , credit and forw...df.loc[df['ime exchange (including spot , cred...True
          \n", + "

          87974 rows × 4 columns

          \n", + "
          " + ], "text/plain": [ - "1" + " statement \\\n", + "0 haroldo be mention as a brazil scorer for 2 di... \n", + "1 4 of the 5 game be for the south american cham... \n", + "2 friedenreich be mention as a brazil scorer for... \n", + "3 there be 2 different game where the highest sc... \n", + "4 4 of the 5 game be play in may 1919 \n", + "... ... \n", + "88215 jerraud power , 192 pound (87 kg) , be choose ... \n", + "88216 terrence taylor play for auburn \n", + "88217 curtis painter 's position be quarterback and ... \n", + "88218 the player who weigh the most play in round 3 \n", + "88219 for 2007 / 08 , metal - volume (thousand tons)... \n", + "\n", + " table_text \\\n", + "0 date#result#score#brazil scorers#competition\\n... \n", + "1 date#result#score#brazil scorers#competition\\n... \n", + "2 date#result#score#brazil scorers#competition\\n... \n", + "3 date#result#score#brazil scorers#competition\\n... \n", + "4 date#result#score#brazil scorers#competition\\n... \n", + "... ... \n", + "88215 round#choice#player#position#height#weight#col... \n", + "88216 round#choice#player#position#height#weight#col... \n", + "88217 round#choice#player#position#height#weight#col... \n", + "88218 round#choice#player#position#height#weight#col... \n", + "88219 ime exchange (including spot , credit and forw... \n", + "\n", + " pandas_code pandas_eval \n", + "0 df['brazil scorers'].apply(lambda x: 'haroldo'... True \n", + "1 (df['competition'].value_counts()['south ameri... True \n", + "2 df['brazil scorers'].str.contains('friedenreic... True \n", + "3 len(df[df['score'].str.extract(r'^(\\d+) - \\d+$... True \n", + "4 (df['date'].str.contains('may') & df['date'].s... True \n", + "... ... ... \n", + "88215 df[(df['player'] == 'jerraud powers') & (df['w... True \n", + "88216 df[df['player'] == 'terrance taylor']['college... False \n", + "88217 (df[df['player'] == 'curtis painter']['positio... False \n", + "88218 (df.loc[df['weight'].str.extract('(\\\\d+)').ast... False \n", + "88219 df.loc[df['ime exchange (including spot , cred... True \n", + "\n", + "[87974 rows x 4 columns]" ] }, - "execution_count": 113, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "p" + "dd_unique = dd.drop_duplicates(subset=['table_text', 'statement'])\n", + "dd_unique" ] }, { "cell_type": "code", - "execution_count": 125, - "id": "bac0a54b-e587-45ff-980e-b3ba9b6be504", + "execution_count": 66, + "id": "2d0b4dc2-b824-4278-a76f-13716462f2cd", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Dataset({\n", + " features: ['statement', 'table_text', 'pandas_code', 'pandas_eval', 'table_csv', 'label', 'table_caption'],\n", + " num_rows: 87974\n", + "})" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "serialization_type='ttyt'\n", - "notation=None\n", - "param_position=None\n", - "keys = [x for x in (serialization_type,notation,param_position) if x != None]" + "res = pd.merge(dd_unique, dd2_unique, on=['table_text', 'statement'], how='inner')\n", + "res2 = Dataset.from_pandas(res)\n", + "res2" ] }, { "cell_type": "code", - "execution_count": 126, - "id": "96be132f-cc9e-41c5-87df-263c354431ed", + "execution_count": 67, + "id": "56333032-f3d8-4195-b8f3-4fa8e5e09d78", "metadata": {}, "outputs": [ { "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "53b51c7144174ff6a2e2f92dd82dc929", + "version_major": 2, + "version_minor": 0 + }, "text/plain": [ - "'ttyt'" + "Saving the dataset (0/1 shards): 0%| | 0/87974 [00:00 pantabfact_log.txt\n", + "python add_column_defenition.py --inputdata pantab_fact_train_unique_tables_exem --outputdata pantab_fact_train_unique_tables_def --num_proc 16 &> log_pantabfact_def_add.txt" + ] } ], "metadata": { diff --git a/tests/study_error.py b/tests/study_error.py new file mode 100644 index 0000000..070eccf --- /dev/null +++ b/tests/study_error.py @@ -0,0 +1,223 @@ +import yaml +import json +import base64 +import inspect +from typing import List, Dict, Any, Callable +from concurrent.futures import ThreadPoolExecutor, as_completed +import re +from openai import OpenAI +from datasets import load_from_disk, Dataset +from tqdm import tqdm + +# ========================================== +# 1. Исправленные классы и функции обертки +# ========================================== + +def get_kwargs(kwargs: Dict[str, Any], func: Callable) -> Dict[str, Any]: + ''' + Вытаскивает аргументы из kwargs по сигнатуре функции func. + ''' + sig = inspect.signature(func) + return {key: value for key, value in kwargs.items() if key in sig.parameters} + +class ModelMessageDict(dict): + ''' + Класс - словарь для удобного форматирования запроса к модели. + Формирует словарь для передачи в клиента openai и в модель. + ''' + def __init__(self, role: str = 'user'): + super().__init__() + self['role'] = role + self['content'] = '' + + def add_text_content(self, content: str): + self['content'] += content + + def add_img_content(self, source: str = 'image_url', path_to_img: str = None, url: str = None): + match source: + case 'image_url': + if path_to_img is not None: + with open(path_to_img, "rb") as f: + base64_image = base64.b64encode(f.read()).decode() + self['content'].append({ + 'type': 'image_url', + 'image_url': {'url': f"data:image/jpeg;base64,{base64_image}"} + }) + elif url is not None: + self['content'].append({ + 'type': 'image_url', + 'image_url': {'url': url} + }) + +def send_message(messages: List[ModelMessageDict], base_url: str = "http://127.0.0.1:8880/v1", + api_key: str = 'EMPTY', model_name: str = 'Qwen/Qwen3-VL-32B-Thinking', **kwargs) -> tuple[bool, List[str]]: + ''' + Функция для отправки сообщений в удаленную модель. + ''' + client = OpenAI(api_key=api_key, base_url=base_url, **get_kwargs(kwargs, OpenAI)) + try: + response = client.chat.completions.create( + messages=messages, + model=model_name, + **get_kwargs(kwargs, client.chat.completions.create) + ) + return True, [answ.message.content for answ in response.choices] + + except Exception as e: + print("Failed to call LLM: " + str(e)) + if hasattr(e, 'response') and e.response is not None: + try: + error_info = e.response.json() + code_value = error_info.get('error', {}).get('code', 'unknown_error') + print(f"API Error Code: {code_value}") + except Exception: + print("Could not parse error response.") + else: + print("context_length_exceeded or connection error") + return False, [] + +# ========================================== +# 2. Логика обработки и промпт +# ========================================== + +PROMPT_TEMPLATE = """You are an expert Data Scientist and a specialist in Error Analysis for LLM-generated code. +Your task is to analyze a failed Table Fact Verification attempt. + +A previous model generated a one-line Python Pandas code to verify a `Statement` against a `Table`. However, the execution of this code produced an `Actual Result` that does not match the `Ground Truth Label`. + +Your goal is to identify and describe the exact reason WHY the code failed to produce the correct answer. +Think about which one-line pandas code would give the correct answer. +Think about how the correct code differs from the incorrect code given to you. Provide a brief description of why the given code produces an incorrect result. This description may include errors in logic, syntax, and errors in referencing table entities. +### CONSTRAINTS (CRITICAL): +1. You MUST output ONLY a valid JSON object. Do not add any conversational text, greetings, or explanations outside the JSON. +2. DO NOT wrap the JSON in markdown formatting (like ```json ... ```). Output the raw JSON string directly. +4. DO NOT give recommendations or step-by-step instructions on how to fix it. +5. The "error_description" must be concise (1-3 sentences maximum). + +### INPUT DATA: + +{table_caption} + + + +{table_text} + + + +{statement} + + + +{pandas_code} + + + +{execution_result} + + + +{label} + + +### REQUIRED JSON FORMAT: +{{ + "reasoning": "Step-by-step analysis of the table data, the statement, and why the pandas code failed. Think through the problem here.", + "error_category": "Choose exactly one: [Column Mismatch, Row Filtering Error, Aggregation/Math Error, Logic/Comparison Error, Data Type Error, Syntax/Execution Error]", + "error_description": "Brief explanation (max 3 sentences) of why the code logic does not correctly verify the statement." +}}""" + +def remove_think_tags(text: str) -> str: + """Удаляет тег ... из ответов моделей reasoning.""" + try: + match = re.search(r"<\/think>", text) + if match: + return text[match.end():].strip() + except Exception as e: + print(f"Error removing tags: {e}") + return text.strip() + +def process_row(row: Dict[str, Any], config: Dict[str, Any]) -> Dict[str, Any]: + """ + Обрабатывает одну строку датасета: формирует промпт, вызывает модель, записывает ответ. + """ + # Формируем промпт + prompt = PROMPT_TEMPLATE.format( + table_caption=row.get('table_caption', ''), + table_text=row.get('table_text', ''), + schema=row.get('semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50', ''), + statement=row.get('statement', ''), + pandas_code=row.get('pandas_code', ''), + execution_result=row.get('semtab_xml_attributes_semantic_datatype_exampples_description_top1_tresh50_label', ''), + label=row.get('label', '') + ) + + # Создаем сообщение + msg = ModelMessageDict(role='user') + msg.add_text_content(prompt) + + # Отправляем запрос + api_cfg = config['api'] + success, result = send_message( + messages=[msg], + base_url=api_cfg['base_url'], + api_key=api_cfg['api_key'], + model_name=api_cfg['model_name'], + temperature=api_cfg.get('temperature', 0.2), + + ) + + # Сохраняем результат в строку датасета + if success and len(result) > 0: + row['llm_analysis_raw'] = result[0] + else: + row['llm_analysis_raw'] = None + + return row + +# ========================================== +# 3. Основной цикл выполнения +# ========================================== + +def main(): + # 1. Загрузка конфигурации + with open('study_err_conf.yaml', 'r', encoding='utf-8') as f: + config = yaml.safe_load(f) + + print(f"Loaded config. Using model: {config['api']['model_name']}") + + # 2. Загрузка датасета + # Если датасет локальный, можно использовать load_from_disk или передать путь к CSV/JSON + # В данном примере предполагается, что он загружается из локальной директории или хаба + dataset = load_from_disk(config['data']['input_path']) + #dataset= dataset.select(range(5)) + print(f"Dataset loaded. Total rows: {len(dataset)}") + + processed_data = [] + max_workers = config['processing']['max_workers'] + + # 3. Многопоточная обработка + with ThreadPoolExecutor(max_workers=max_workers) as executor: + # Запускаем задачи в пуле потоков + futures = {executor.submit(process_row, row, config): row for row in dataset} + + # tqdm для отображения прогресса по мере завершения потоков + for future in tqdm(as_completed(futures), total=len(dataset), desc="Processing instances"): + try: + result_row = future.result() + processed_data.append(result_row) + except Exception as exc: + print(f"Row generated an exception: {exc}") + + # 4. Преобразование обратно в HF Dataset и сохранение + print("Processing complete. Saving results...") + result_dataset = Dataset.from_list(processed_data) + + # Сохраняем в JSON или Parquet + output_path = config['data']['output_path_json'] + result_dataset.to_json(output_path, force_ascii=False) + print('json save') + result_dataset.save_to_disk(config['data']['output_path']) + print(f"Done! Saved to {output_path}") + +if __name__ == "__main__": + main() diff --git a/tests/summaries_err_descr.py b/tests/summaries_err_descr.py new file mode 100644 index 0000000..5d56273 --- /dev/null +++ b/tests/summaries_err_descr.py @@ -0,0 +1,238 @@ +import re +import json +import logging +import asyncio +import httpx +import pandas as pd +from typing import List, Dict, Optional +from openai import AsyncOpenAI + +# Настройка логирования +logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') +logger = logging.getLogger(__name__) + +def remove_think_tags(text: str) -> str: + """Удаляет тег ... из ответов моделей reasoning.""" + try: + match = re.search(r"<\/think>", text) + if match: + return text[match.end():].strip() + except Exception as e: + print(f"Error removing tags: {e}") + return text.strip() + +class LLMClient: + def __init__(self, base_url: str, tokenizer_url: str, api_key: str = 'EMPTY'): + # 1. ДОБАВЛЕН ТАЙМАУТ: Если локальная модель зависла, скрипт отвалится через 10 минут, а не зависнет навсегда. + self.client = AsyncOpenAI(api_key=api_key, base_url=base_url, timeout=600.0) + self.tokenizer_url = tokenizer_url + + # 2. ОГРАНИЧЕНИЕ ПУЛА: Не даем httpx создавать бесконечное число соединений. + limits = httpx.Limits(max_connections=50, max_keepalive_connections=10) + self.http_client = httpx.AsyncClient(timeout=10.0, limits=limits) + + # 3. СЕМАФОР ТОКЕНИЗАТОРА: Отправляем не более 30 запросов к токенизатору одновременно. + self.token_semaphore = asyncio.Semaphore(30) + + async def generate(self, messages: List[Dict[str, str]], model: str, **kwargs) -> Optional[str]: + try: + response = await self.client.chat.completions.create( + messages=messages, + model=model, + **kwargs + ) + raw_content = response.choices[0].message.content + return remove_think_tags(raw_content) + except Exception as e: + logger.error(f"Failed to call LLM: {e}") + return None + + async def count_tokens(self, text: str, model: str) -> int: + # ЗАЩИТА: Строго ограничиваем конкурентность запросов к токенизатору + async with self.token_semaphore: + try: + response = await self.http_client.post( + self.tokenizer_url, + json={"model": model, "prompt": text} + ) + response.raise_for_status() + return response.json().get('count', len(text) // 4) + except Exception as e: + # Убрала логирование ошибки, чтобы не спамить консоль тысячами сообщений при таймауте + return len(text) // 4 + 1 + + async def close(self): + await self.http_client.aclose() + await self.client.close() + +class AsyncErrorSummarizer: + def __init__(self, client: LLMClient, model: str, max_chunk_tokens: int = 6000, max_len: int = 20000, max_concurrent_tasks: int = 5): + self.client = client + self.model = model + self.max_chunk_tokens = max_chunk_tokens + self.max_len = max_len + self.semaphore = asyncio.Semaphore(max_concurrent_tasks) + + def _extract_description(self, row) -> Optional[str]: + try: + data = json.loads(row['llm_analysis']) + desc = data.get('error_description', '') + err_type = row.get('err_type', 'UNKNOWN') + if not desc: + return None + return f"<{err_type}>: {desc}" + except Exception: + return None + + async def _get_chunks(self, descriptions: List[str]) -> List[str]: + chunks = [] + current_batch = [] + current_tokens = 0 + + logger.info(f"Counting tokens for {len(descriptions)} items...") + + async def fetch_tokens(desc: str) -> int: + return await self.client.count_tokens(desc, self.model) + + # Разбиваем на батчи встроенными средствами asyncio, чтобы не повесить Event Loop + token_counts = await asyncio.gather(*(fetch_tokens(desc) for desc in descriptions)) + + logger.info("Token counting completed. Building chunks...") + + for desc, tokens in zip(descriptions, token_counts): + if tokens > self.max_chunk_tokens: + logger.warning(f"Skipping single item: size ({tokens} tokens) exceeds max_chunk_tokens.") + continue + + if current_tokens + tokens > self.max_chunk_tokens: + chunks.append("\n\n".join(current_batch)) + current_batch = [desc] + current_tokens = tokens + else: + current_batch.append(desc) + current_tokens += tokens + + if current_batch: + chunks.append("\n\n".join(current_batch)) + + return chunks + + async def summarize_chunk(self, chunk_text: str, chunk_index: int, total_chunks: int) -> Optional[str]: + prompt = f"""You are a helpful assistant. Summarize the following error descriptions into a concise technical report. + Maintain all key details about error patterns. + + -Data- + {chunk_text} + + Output:""" + + async with self.semaphore: + logger.info(f"Generating summary for chunk {chunk_index + 1}/{total_chunks}...") + res = await self.client.generate( + [{"role": "user", "content": prompt}], + self.model, + temperature=0 + ) + logger.info(f"Chunk {chunk_index + 1}/{total_chunks} completed.") + return res + + async def process_group(self, df: pd.DataFrame, group_name: str) -> str: + logger.info(f"[{group_name}] Extracting data...") + descriptions = df.apply(self._extract_description, axis=1).dropna().tolist() + if not descriptions: + return group_name, "No valid data to summarize." + + chunks = await self._get_chunks(descriptions) + logger.info(f"[{group_name}] Total chunks to process: {len(chunks)}") + + if not chunks: + return "All items were too large and were skipped." + + tasks = [self.summarize_chunk(c, i, len(chunks)) for i, c in enumerate(chunks)] + intermediate_summaries = await asyncio.gather(*tasks) + + valid_summaries = [s for s in intermediate_summaries if s] + if not valid_summaries: + return "Failed to generate intermediate summaries." + + logger.info(f"[{group_name}] Intermediate map step done. Preparing final reduce...") + + base_prompt = """You are a technical expert. Based on the intermediate summaries below, perform two tasks: + 1. Identify a comprehensive name for this error group. + 2. Write a single, cohesive summary of all errors in the third person. + + Constraints: + - The summary must NOT exceed 5 sentences. + - Resolve any contradictions. + - Address the error group by the name you identified. + + -Intermediate Summaries- + {DATA} + + Output format: + Group Name: [Your generated name] + Summary: [Your 5-sentence summary]""" + + base_tokens = await self.client.count_tokens(base_prompt, self.model) + available_tokens = self.max_len - base_tokens - 1000 + + final_summaries_to_include = [] + current_combined_tokens = 0 + + summary_tokens = await asyncio.gather( + *(self.client.count_tokens(s, self.model) for s in valid_summaries) + ) + + for summary, tokens in zip(valid_summaries, summary_tokens): + if current_combined_tokens + tokens > available_tokens: + logger.warning(f"[{group_name}] Reached max_len limit. Skipping remaining summaries.") + break + + final_summaries_to_include.append(summary) + current_combined_tokens += tokens + + if not final_summaries_to_include: + return "Error: Initial summaries are too large to fit in max_len." + + combined_summaries_text = "\n---\n".join(final_summaries_to_include) + final_prompt = base_prompt.replace("{DATA}", combined_summaries_text) + + logger.info(f"[{group_name}] Sending final prompt to LLM...") + async with self.semaphore: + final_result = await self.client.generate( + [{"role": "user", "content": final_prompt}], + self.model, + temperature=0.2 + ) + + logger.info(f"[{group_name}] Final summary completed.") + return group_name,final_result or "Failed to generate final summary." + +async def main(): + client = LLMClient(base_url="http://localhost:9124/v1", tokenizer_url="http://localhost:9124/tokenize") + + # ВАЖНО: Если у вас локально запущена тяжелая модель (30B), + # параллельная обработка 3 запросов с большим контекстом требует огромного объема VRAM. + # Если скрипт все еще висит - поставьте max_concurrent_tasks=1 + summarizer = AsyncErrorSummarizer(client, model="Qwen/Qwen3-30B-A3B-Thinking-2507", max_concurrent_tasks=16) + + try: + logger.info("Loading parquet file...") + df = pd.read_parquet('data4_80ac.parquet') + + logger.info("Starting parallel group processing...") + results = await asyncio.gather( + *[summarizer.process_group(group, name) for name,group in df.groupby('cluster')] + ) + print(results) + for i, res in results : + + print(f"\n--- RESULT GROUP {i} ---\n{res}") + + except FileNotFoundError: + logger.error("File 'data.parquet' not found.") + finally: + await client.close() + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/tests/wtq_tests.ipynb b/tests/wtq_tests.ipynb new file mode 100644 index 0000000..9203313 --- /dev/null +++ b/tests/wtq_tests.ipynb @@ -0,0 +1,489 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "385306d1-701f-4c75-8d6a-db2ee91f0f26", + "metadata": {}, + "source": [ + "# Evaluete wtq test" + ] + }, + { + "cell_type": "markdown", + "id": "4618186f-0615-4798-98d9-b244ef7b7d61", + "metadata": {}, + "source": [ + "## Functions" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f10e5c31-f85b-40a8-a182-f4ce2c83268c", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os\n", + "import pandas as pd\n", + "import numpy as np\n", + "# Добавляем корневую директорию проекта в sys.path\n", + "sys.path.append(os.path.dirname(os.path.abspath('/media/research/yrl_aida_users/poddubny/poddubnyy/postgraduate/semtab_serializer/tests')))\n", + "from utils.utils import load_config\n", + "from datasets import load_from_disk,Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e77429f3-73b8-4444-a80d-33aba1641361", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "7de1fae3-50eb-4770-b014-6c29a9babf8b", + "metadata": {}, + "outputs": [], + "source": [ + "def evaluate(res,gt:str):\n", + " if '|' in gt:\n", + " gt = '|'.join(sorted(gt.split('|')))\n", + " if res is not None:\n", + " if isinstance(res, list):\n", + " res = '|'.join(sorted([str(x) for x in res]))\n", + " elif isinstance(res, pd.Series):\n", + " if len(res) == 1:\n", + " res = str(res.iloc[0])\n", + " else:\n", + " res = '|'.join(sorted([str(x) for x in result.tolist()]))\n", + " return res == gt" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "053e1345-8cdf-4fac-b515-6986ed0e7322", + "metadata": {}, + "outputs": [], + "source": [ + "def get_accuracy_wtq(data_path,conf_path,tests = None):\n", + " data = load_from_disk(data_path)\n", + " config = load_config(conf_path)\n", + " tests = list(config.keys()) if tests==None else tests\n", + " acc_old = None\n", + " for test in tests:\n", + " print(test)\n", + " process_data = data.filter(lambda x : x[f'{test}_answ_correct'] != 'None',num_proc=17)\n", + " dd = data.filter(lambda x: True if x[f'{test}_label']!='None' else False,num_proc=17)\n", + " print('Процент корректируемых ответов',process_data.shape[0]/data.shape[0]*100)\n", + " cor = process_data.filter(lambda x : True if x[f'{test}_label']==str(bool(x['label'])) else False,num_proc=17)\n", + " print('успешно скорректированные отноосительно корректируемых ',cor.shape[0]/process_data.shape[0]*100)\n", + " print('выполнимость',dd.shape[0]/data.shape[0]*100)\n", + " true = dd.filter(lambda x : True if evaluate(x[f'{test}_label'],x['label']) else False,num_proc=17)\n", + " print('коректность вывыполняемых ',true.shape[0]/dd.shape[0]*100)\n", + " full = data.filter(lambda x : True if evaluate(x[f'{test}_label'],x['label']) else False,num_proc=17)\n", + " acc = full.shape[0]/data.shape[0]*100\n", + " without_corr = data.filter(lambda x : x[f'{test}_answ_correct'] == 'None',num_proc=17)\n", + " full_wo_corr = without_corr.filter(lambda x : True if evaluate(x[f'{test}_label'],x['label']) else False,num_proc=17)\n", + " print('Общая точность',acc)\n", + " print('точность без учета коррекции',full_wo_corr.shape[0]/data.shape[0]*100)\n", + " if acc_old == None:\n", + " acc_old = acc\n", + " print('different',acc-acc_old)\n", + " acc_old = acc" + ] + }, + { + "cell_type": "markdown", + "id": "c588261d-4456-4112-9578-ec42ead82962", + "metadata": {}, + "source": [ + "## Бейзлайн wtq" + ] + }, + { + "cell_type": "markdown", + "id": "5c3899db-6926-4e1b-9e1b-50252777b558", + "metadata": {}, + "source": [ + "#### чистый deep seek coder 7b 1/5 train prompt" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "6891d3d6-794b-4010-baf0-10787c2e6512", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "semtab_xml_attributes_semantic_datatype_exampples_top1_tresh50\n", + "Процент корректируемых ответов 14.957363447799032\n", + "успешно скорректированные отноосительно корректируемых 0.46224961479198773\n", + "выполнимость 86.19497580087577\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "30ce7341338949308985eb7d47b4979a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Filter (num_proc=17): 0%| | 0/3740 [00:00" +''' + +def send_message(message,max_tokens=1000,top_p=0.9,temperature=0.5,server_url="http://127.0.0.1:8800/v1",api_key="dummy", + model_name='deepseek-ai/deepseek-coder-7b-instruct-v1.5',system_prompt='', stop = ["Observation:","\n\n\n\n","\n \n \n"]): + client = OpenAI(base_url=server_url, api_key=api_key) + model_input = [ + { 'role': 'system', 'content': system_prompt}, + { 'role': 'user', 'content': message} + ] + try: + print(f"Generating content with model: {model_name}",) + + response = client.chat.completions.create( + model=model_name, + messages=model_input, + temperature=temperature, + max_tokens=max_tokens, + top_p=top_p, + stop = stop + ) + + return True, response.choices[0].message.content + + except Exception as e: + print("Failed to call LLM: " + str(e)) + time.sleep(3) + if hasattr(e, 'response'): + error_info = e.response.json() + code_value = error_info['error']['code'] + else: + code_value = "context_length_exceeded" + print("Retrying ...") + return False, None + +def parse_panda_code(input_string): + """ + Парсит строку и извлекает код, который находится внутри конструкции "PANDA": <код> + Поддерживает различные форматы: JSON, простой текст, Markdown + + Args: + input_string (str): Входная строка для парсинга + + Returns: + str: Извлеченный код или пустая строка, если код не найден + """ + # Сначала попробуем найти JSON объект с PANDA + json_pattern = r'\{[^{}]*PANDA":\s*(.+?)(?:\n|$)?\}' + json_match = re.search(json_pattern, input_string, re.DOTALL) + code = None + pattern = r'"PANDA":\s*(.+?)(?:\n|$)' + if json_match: + code = json_match.group(1).strip() + else: + match = re.search(pattern, input_string, re.DOTALL) + if match: + # Извлекаем код и убираем лишние пробелы по краям + code = match.group(1).strip() + # Заменяем одинарные кавычки внутри строки для корректного парсинга JSON + + # Если JSON не найден или не распарсился, используем старый метод + # Паттерн для поиска кода после "PANDA": + # Ищет "PANDA": за которым следует пробел, затем код до конца строки или до следующего символа + if code != None: + # Убираем возможные кавычки вокруг кода + if code.startswith('"') and code.endswith('"'): + code = code[1:-1] + elif code.startswith("'") and code.endswith("'"): + code = code[1:-1] + + return code + + return "" +def dataset_processing(entry,query_field=None): + df = pd.read_csv(StringIO(entry['table_text']), delimiter='#') + success,response_sep = send_message(entry[f"{query_field}_query"], + system_prompt=system_prompt) + + entry[f'{query_field}_answ'] = 'None' + entry[f'{query_field}_label'] = 'None' + + if success: + entry[f'{query_field}_answ'] = response_sep + try: + pandas_eval = str(bool(eval(parse_panda_code(response_sep)))) + entry[f'{query_field}_label'] = str(pandas_eval) + except Exception as e: + print('EEEERRRRRRR', entry['id']) + print(e) + return entry +def main(): + parser = argparse.ArgumentParser(description='Скрипт с настраиваемыми параметрами') + parser.add_argument('--query-field', type=str, default='semtab', + choices=['semtab', 'nlsep','proto'], help='Тип query field') + parser.add_argument('--input_data', type=str, default='none_filtered_new_dataset2', + help='путь к набору данных для обработки') + parser.add_argument('--output_data', type=str, default='none_filtered_new_dataset2_new', + help='путь к выходному набору данных') + parser.add_argument('--num-proc', type=int, default=2, + help='Количество процессов') + + args = parser.parse_args() + in_dataset = args.input_data + out_dataset = args.output_data + query_field = args.query_field + NUM_PROC = args.num_proc + + print(f"query_field: {query_field}") + print(f"NUM_PROC: {NUM_PROC}") + print(f"in_dataset: {in_dataset}") + print(f"out_dataset: {out_dataset}") + + + # Ваш основной код здесь + dataset = load_from_disk(in_dataset) + dataset2 = dataset.map(partial(dataset_processing,query_field=query_field),num_proc=NUM_PROC) + dataset2.save_to_disk(out_dataset) + +if __name__ == "__main__": + main() diff --git a/utils/defgen/defgen.py b/utils/defgen/defgen.py index 8d4b5bb..c6c6eda 100644 --- a/utils/defgen/defgen.py +++ b/utils/defgen/defgen.py @@ -21,22 +21,26 @@ def __init__( def _get_table_columns_defenitions(self,table_name: str): if table_name == None: return None - table_def = pd.read_parquet("/home/poddubny/notebooks/poddubnyy/postgraduate/semtab_serializer/utils/defgen/df_pantabfact_train.parquet.gzip") - return json.loads(table_def[table_def['table_csv']==table_name]['column_defenition_json'].to_list()[0]) + #table_def = pd.read_parquet("/home/poddubny/notebooks/poddubnyy/postgraduate/semtab_serializer/utils/defgen/df.parquet.gzip") + table_def = pd.read_parquet("/home/poddubny/notebooks/poddubnyy/postgraduate/semtab_serializer/utils/defgen/df_wtq_train.parquet.gzip") + #return json.loads(table_def[table_def['table_csv']==table_name]['column_defenition_json'].to_list()[0]) + return json.loads(table_def[table_def['context']==table_name]['column_defenition_json'].to_list()[0]) def annotate_columns(self, df: pd.DataFrame, top_k: int= 1, threshold: float = 0.5, add_data = None)-> List[List[Tuple[str,float]]]: if add_data != None: - col_def = self._get_table_columns_defenitions(add_data.get('table_csv', None)) - + #col_def = self._get_table_columns_defenitions(add_data.get('table_csv', None)) + col_def = self._get_table_columns_defenitions(add_data.get('context', None)) # Создаем новый словарь с нормализованными ключами normalized_col_def = {} for key, value in col_def.items(): - normalized_key = re.sub(' ', '', key).lower() + #normalized_key = re.sub(' ', '', key).lower() + normalized_key = re.sub('\\n','',re.sub('\\\\n','',re.sub(' ','',key))).lower() normalized_col_def[normalized_key] = value # Сохраняем и оригинальный ключ, если нужно normalized_col_def[key] = value - return [[(normalized_col_def.get(re.sub(' ', '', col_name).lower(), ''), None)] + #return [[(normalized_col_def.get(re.sub(' ', '', col_name).lower(), ''), None)] + return [[(normalized_col_def.get(re.sub('\\n','',re.sub('\\\\n','',re.sub(' ','',col_name))).lower(), ''), None)] for col_name in df.columns] else: #print('!'*50) diff --git a/utils/utils.py b/utils/utils.py index 498441e..5a101f4 100644 --- a/utils/utils.py +++ b/utils/utils.py @@ -268,7 +268,7 @@ def get_attributes_xml_serialization(table: pd.DataFrame,include_data_types: boo if include_semantic_types: #head.set("SEMANTIC_TYPE"," ; ".join([" - ".join([type_,str(round(prop,2) if prop != None else '')]) # for type_,prop in sem_types[col_idx][1].items()])) - head.set("COLUMN DESCRIPTION"," ; ".join([" - ".join([type_,str(round(prop,2) if prop != None else '')]) + head.set("COLUMN_DESCRIPTION"," ; ".join([" - ".join([type_,str(round(prop,2) if prop != None else '')]) for type_,prop in sem_types[col_idx][1].items()])) if include_data_types: head.set("DATA_TYPE",json.dumps(data_types[column_name][0])) From b7932dc0d9a0929dfd355caa83048e4607fe6a4a Mon Sep 17 00:00:00 2001 From: Poddubnyyiv Date: Thu, 4 Jun 2026 10:45:22 +0800 Subject: [PATCH 31/31] add train for wtq --- finetune_tqa.py | 304 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 304 insertions(+) create mode 100644 finetune_tqa.py diff --git a/finetune_tqa.py b/finetune_tqa.py new file mode 100644 index 0000000..4fc6083 --- /dev/null +++ b/finetune_tqa.py @@ -0,0 +1,304 @@ + +from trl import SFTTrainer +from peft import LoraConfig,TaskType +import wandb + +# Start a new wandb run to track this script +from transformers import TrainerCallback,EarlyStoppingCallback +import time +from functools import partial + +import torch +from typing import Any, Dict, List, Union, Optional +from transformers import DataCollatorForLanguageModeling +import random +import numpy as np +from dataclasses import dataclass, field +import transformers +from datasets import load_from_disk + +IGNORE_INDEX = -100 +EOT_TOKEN = "<|EOT|>" + +def set_global_seed(seed: int = 42): + """ + Фиксирует seed для обеспечения полной воспроизводимости экспериментов. + """ + # 1. Фиксация в стандартном Python + random.seed(seed) + + # 2. Фиксация в NumPy + np.random.seed(seed) + + # 3. Фиксация в PyTorch (CPU) + torch.manual_seed(seed) + + # 4. Фиксация в PyTorch (GPU) + torch.cuda.manual_seed(seed) + torch.cuda.manual_seed_all(seed) # Важно, если используется несколько видеокарт (Multi-GPU) + + # 5. Настройки CuDNN (GPU backend) + # Детерминированные алгоритмы (может незначительно снизить скорость обучения) + #torch.backends.cudnn.deterministic = True + # Отключение автоматического поиска оптимальных алгоритмов свертки + #torch.backends.cudnn.benchmark = False + + # 6. Фиксация в Hugging Face Transformers + transformers.set_seed(seed) + +def build_instruction_prompt(table: str,query: str): + return """ +### Instruction: +You are a Python expert specializing in pandas. Your task is to translate the +given natural language query into a single-line pandas expression. This +# expression must be valid and executable to get answer on the question using the provided table. Consider the following: +1. The table schema is represented in XML format. +2. The table is represented as a pandas DataFrame named df. +3. Do not include explanations, comments, or multiline outputs. +4. Ensure the output is concise, correct, and strictly in the following Json Format with a single key "PANDA": +"PANDA": "" + +### Table schema +{table} +### Query +{query} +### Response:\n +""".format(table=table, query=query).lstrip() + +@dataclass +class ModelArguments: + model_name_or_path: Optional[str] = field(default="deepseek-ai/deepseek-coder-6.7b-instruct") + expr_name: Optional[str] = field(default="test_run") + lora_rank: int = field(default=16 ) + lora_dropout: float = field(default=0.05) + + +@dataclass +class DataArguments: + data_path: str = field(default=None, metadata={"help": "Path to the training data."}) + table_col_name: str = field(default=None, metadata={"help": "Name column with table serialization."}) + num_proc_data: int = field(default=16, metadata={"help": "Num CPU process data"}) + + +@dataclass +class TrainingArguments(transformers.TrainingArguments): + optim: str = field(default="adamw_torch") + max_length: int = field( + default=512, + metadata={"help": "Maximum sequence length. Sequences will be right padded (and possibly truncated)."}, + ) + seed: int = field(default=42, metadata={"help": "Random seed for initialization."}) + + + +class CustomCompletionOnlyCollator(DataCollatorForLanguageModeling): + def __init__(self, response_template: str, tokenizer, *args, **kwargs): + # Обязательно выключаем Masked Language Modeling (mlm=False), так как у нас Causal LM + super().__init__(tokenizer=tokenizer, mlm=False, *args, **kwargs) + # Токенизируем шаблон ответа (без спецтокенов, чтобы избежать конфликтов с BOS) + self.response_template_ids = tokenizer.encode(response_template, add_special_tokens=False) + + def torch_call(self, examples: List[Union[List[int], Any, Dict[str, Any]]]) -> Dict[str, Any]: + # Стандартный коллатор соберет батч и создаст input_ids и labels + batch = super().torch_call(examples) + labels = batch["labels"].clone() + + for i in range(len(labels)): + label_list = labels[i].tolist() + template_len = len(self.response_template_ids) + match_idx = -1 + + # Ищем подпоследовательность токенов шаблона ответа + for j in range(len(label_list) - template_len + 1): + if label_list[j : j + template_len] == self.response_template_ids: + match_idx = j + template_len + break + + if match_idx != -1: + # Маскируем всё ДО конца шаблона (заменяем на -100) + labels[i, :match_idx] = -100 + else: + # Если шаблон почему-то не найден в тексте, маскируем всё, + # чтобы модель не училась на неверно размеченных данных + labels[i, :] = -100 + + batch["labels"] = labels + return batch + + +class WandbLoggingCallback(TrainerCallback): + # 2. Вызывается в начале обучения + def on_train_begin(self, args, state, control, **kwargs): + + if state.is_world_process_zero: + print("Обучение начинается") + # Здесь логируются train_loss, learning_rate и т.д. + run.log({"start_train": time.time()}) + + + + # 6. Вызывается после каждого логирования (по logging_steps) + def on_log(self, args, state, control, logs=None, **kwargs): + if state.is_world_process_zero: + # Здесь логируются train_loss, learning_rate и т.д. + run.log({'train_time':time.time(),**logs}) + print(f"Логирование на шаге {state.global_step}: {logs}") + # Здесь можно отправить метрики в wandb + + # 7. Вызывается после каждой валидации (по eval_steps) + def on_evaluate(self, args, state, control, metrics=None, **kwargs): + if state.is_world_process_zero: + # Здесь логируются train_loss, learning_rate и т.д. + run.log({'eval_time':time.time(),**metrics}) + print(f"Валидация на шаге {state.global_step}: {metrics}") + # Здесь можно обработать метрики валидации + + # 10. Вызывается в конце обучения + def on_train_end(self, args, state, control, **kwargs): + if state.is_world_process_zero: + # Здесь логируются train_loss, learning_rate и т.д. + run.log({"End_train": time.time()}) + print("Обучение закончено") + # 11. Вызывается в конце (для очистки ресурсов) + + + +# 1. Твоя функция подготовки промпта (немного адаптирован под батчи) +def formatting_prompts_func(example,table_col_name=''): + #output_texts = [] + #print(example) + # Важно: example содержит списки, так как SFTTrainer передает батчи + #for i in range(len(example['statement'])): + # prompt = build_instruction_prompt(example[table_col_name][i], example['statement'][i]) + # response = f'"PANDA": {example["pandas_code"][i]}\n{EOT_TOKEN}' + # output_texts.append(prompt + response) + #return output_texts + return build_instruction_prompt(example[table_col_name], example['statement'])+ f'"PANDA": {example["code"]}\n{EOT_TOKEN}' +def filter_long_examples(example,format_func = None,tokenizer=None): + full_text = format_func(example) + tokenized = tokenizer(full_text, truncation=False, add_special_tokens=False) + return len(tokenized["input_ids"]) <= tokenizer.model_max_length + + + + + +run = None + +def main(): + parser = transformers.HfArgumentParser((ModelArguments, DataArguments, TrainingArguments)) + model_args, data_args, training_args = parser.parse_args_into_dataclasses() + global run + run = wandb.init( + # Set the wandb entity where your project will be logged (generally your team name). + entity="ivan", + # Set the wandb project where this run will be logged. + project=model_args.expr_name, + # Track hyperparameters and run metadata. + config={ + **vars(model_args), + **vars(data_args), + **vars(training_args) + } + ) + if training_args.local_rank == 0: + print('='*100) + print(training_args) + + tokenizer = transformers.AutoTokenizer.from_pretrained( + model_args.model_name_or_path, + model_max_length=training_args.max_length, + padding_side="right", + use_fast=True, + trust_remote_code=True + ) + + + + if training_args.local_rank == 0: + print("PAD Token:", tokenizer.pad_token, tokenizer.pad_token_id) + print("BOS Token", tokenizer.bos_token, tokenizer.bos_token_id) + print("EOS Token", tokenizer.eos_token, tokenizer.eos_token_id) + print("Load tokenizer from {} over.".format(model_args.model_name_or_path)) + + model = transformers.AutoModelForCausalLM.from_pretrained( + model_args.model_name_or_path, + torch_dtype=torch.bfloat16 + ) + peft_config = LoraConfig( + task_type=TaskType.CAUSAL_LM, # Тип задачи + r=model_args.lora_rank, # Ранг матрицы (низкая размерность) + lora_alpha=2*model_args.lora_rank, # Масштабирующий коэффициент (обычно 2x от r) + lora_dropout=model_args.lora_dropout, # Dropout для регуляризации + bias="none", # Обычно bias не обучают + target_modules=[ # Куда встраиваем матрицы + "q_proj", + "k_proj", + "v_proj", + "o_proj", + "gate_proj", + "up_proj", + "down_proj" + ], + ) + formatting_prompts_func_loc = partial(formatting_prompts_func,table_col_name=data_args.table_col_name) + filter_long_examples_loc = partial(filter_long_examples,format_func=formatting_prompts_func_loc,tokenizer=tokenizer) + if training_args.local_rank == 0: + print("Load model from {} over.".format(model_args.model_name_or_path)) + + + #raw_train_datasets = load_dataset( + # 'json', + # data_files=data_args.data_path, + # split="train", + # cache_dir=training_args.cache_dir + #) + dataset = load_from_disk(data_args.data_path) + raw_train_dataset = dataset.get('train',None) + raw_eval_dataset = dataset.get('val',None) +# 2. Магия маскирования промпта (заменяет твой сложный preprocess) +# Модель не будет учиться генерировать инструкцию, только то, что после "### Response:\n" + if training_args.local_rank == 0: + print(f"Размер train ДО фильтрации: {len(raw_train_dataset)}") + print(f"Размер val ДО фильтрации: {len(raw_eval_dataset)}") + with training_args.main_process_first(desc="dataset filtering"): + if raw_train_dataset is not None: + raw_train_dataset = raw_train_dataset.filter(filter_long_examples_loc, num_proc=data_args.num_proc_data) + if raw_eval_dataset is not None: + raw_eval_dataset = raw_eval_dataset.filter(filter_long_examples_loc, num_proc=data_args.num_proc_data) + + # Выводим логи только на главном процессе, чтобы не дублировать текст в консоли + if training_args.local_rank == 0: + print(f"Размер train ПОСЛЕ фильтрации: {len(raw_train_dataset) if raw_train_dataset else 0}") + print(f"Размер val ПОСЛЕ фильтрации: {len(raw_eval_dataset) if raw_eval_dataset else 0}") + + response_template = "### Response:\n" + collator = CustomCompletionOnlyCollator( + response_template=response_template, + tokenizer=tokenizer + ) + + + # 3. Конфиг LoRA (передаем напрямую в Trainer) + + # 4. Инициализация SFTTrainer + trainer = SFTTrainer( + model=model, # Передаешь чистую загруженную модель (БЕЗ get_peft_model) + args=training_args, # Твои аргументы с deepspeed="config.json" работают здесь идеально! + train_dataset=raw_train_dataset, # Передаешь СЫРОЙ датасет, без .map() + eval_dataset = raw_eval_dataset, + formatting_func=formatting_prompts_func_loc, # Функция, которая склеивает вопрос и ответ + data_collator=collator, # Тот самый умный коллатор + peft_config=peft_config, # SFTTrainer сам применит LoRA + callbacks=[WandbLoggingCallback(),EarlyStoppingCallback(early_stopping_patience=3)] + ) + + # 5. Запуск + trainer.train() + trainer.save_state() + trainer.save_model(training_args.output_dir) + run.finish() + + +if __name__ == '__main__': + main() \ No newline at end of file

      ju@(52ry(3eXR-K2h0Otqaexvxi zCCu17k~ZSbLMk?OpO7U)zlS#Y>ikn=yFq4&*?n}v(6zIG20nR;sa!v@QxO7tjz*4!sD3PamPW}BTxp+y~?H}rErivPa*1k5UA@_0dFop?8E zCBAB1t`XvdH5(_#WyAPev;YnL7lu&a(%eDYEapX^Zi=bNq8H}~S)A#i@a-`3?EpcM zc&Djlft?_~%=UxSM(Xx|H-;DL2qiXz5ZZ;!j@El>8vV%NG^ZNpnyooWHfE9_y3xr)AF3NXTft$JK;YNi`NJc6DL(XTSsL!i~+ z*g~@%oC5Q3RpW$idqPEJ6-a2M%W!%urT9ZBIG*jR&c<=_(D^{S8!&#jH2E(Gsjz>K zELI@;h_yQWWJ`8Ue$FrQm*FS<7m4IAn)eu&dY2jIFOHKvO5 zXC4l?aSDKQrc&AU3r#4&=%YX9{TBBdybGxoTnjZTi%41ah+yA6ZNE7_a_OV+5tC_s zA@8rEX_+S1TF7w4br226lNZ|$ssG64H}wNkq@z~2TyT>|Ec~?GwGwk2#7S_ajAjua z&M;s2av=$*ElO2P$ve?>D5#fd9}1QVWJ#Z>q1P)VJ=9T%s6=?qgu~5 zD2T5cC${-SozMM(Ms8@eZR!huMAb^EriI?n$rJ9$0%NsF0veOK*8ltuH0BcmYWEHh zjAixUmsX#^3bu~?Y)!LRAF#}FLLa=IHSN7!Sxq1ssc!51(g6)vA7UFUz>~s->Sg#d zj^~l1h@hF(1vH~Ouo%vMvvdY%M0;?%6H|?2A3jzEJL4{1#H0tU2J zMvEXY&JSaa_BbFf_8jGo%UuxlAOvMnMRH{MN)W5Lc+-&yv8!M)LqpLv%GgW)+ zkcMCPC$87DGMuG~GY$lGTjT~S#BiMIq9(@!GlP3xeubOa!>+AX8&H9`*B{%vUSKXj& zkGOXMjcpeUNY~7?>8eDI#KsR@(*k(AQp(bY+ARnOH!`tF|W zqY8xMr6~3NtNvEUV|%Gyn9Sj7#ID=rr{p?!5MA{7P)kIpevRvQnk{JObl`9js`$#= zGK+_Q_a)@X-N2?sF7MR~BY=zB8uSSt7`U}(dxSn00xc#SZ7<+ z<}5mdQSum`ae2hq-iR;5)Wtba)wg?-wMdU{^OB~n(TK@go%0@{p9jYEz=b11B))Ee z8hUe7nHy|XzpARTCZThmd<~bgLB9yA9P}ynb2CvEI_v(szAlfGhHg1-MyHA5;A`j% zGT_%Or`;@x88Gx^sMld-=57t*jtVdO-f8~C#* zOC6L&GB*+n5t)dWR_q_S^_W@p%w>TV`U;0Gvl=Ir!B(L1JJ#%+Wt? zU3Rk8wpy>q?{V#y6v*H}`cvQa<%wL~a*K$>EqO+WlWW0Md|bn^l0Q7RVc;A<#|G{_ z;NNZn*W2Zy4Njqe7_OP9o6}fZ`;r4K!O_3vv|q_5cKy-w7NV&ZeZ?EsXbq!iW`682 z%{Ja390(F6?m~e~L3?qJK1LK=4Kj57dqIVp&#*#qZb3fL!no<5){@P&xZ$Y7wf+wp zEp7da131AgXD`rdFY6tLcJy{{zlvgEoVIt|44CQ7oqO47uOuXM<&;m&j*mHu8uTtD?J+%M6nmU2XzaeS;F zPZW4}6~t*4+^z%;DAI`zTuUEL05JhYp+47`q#*nE8WYcY)nl%4GA~}Ifyu7*w|`H+ zrA#BQ4{$oN4I}=_mOoB&@|UeGO!N3jv(00|@JcgWe+f=Z`zSmh-f$M-BZQB?q;S21 zpkY{s9jK)A*@ZBuj0YHA_T=Mi&UfO_jcF6;cC+?w8jOO&3~*^TV~m3+20$Ff%R`E5!zn|gt(sKBwKn8&49py$*#kh#h-O^ullhNh3kco_=$#O`ho-~7Ycy$VCKP9 zxqtQZ4}#(>-PyDM_X`wPTFfe@jQ54nQ8BenWW|G z&|vwMJiQbt+7``%{jR$J*1aY}i2N)hFu;gal_O`exPEC)**RI?t+6;4wisVS7}}I0Sc64KPwW zq`KrE5!BQwAh3`EmKUV4b_YKUoOL}<_)$>v+3k;L3<=c`i6ug6Q!yarSXUEQ1NKmG z@HGl=DpmE&6-^}Sv8Xfx=5+@dr;veTNBpsW^|LRdA&`3yIa>@k`H6a{RTsh1pXC5L zJM|HV1oY~XvEy)F7DCnXwdM$5CDBv~Cp&$v5`R>Z%w>eyV4`8BXupKO;Ld7v_o*KyAb0WbNt4F;(mnobkOv&?Z1ZaGExGHobmUw1Q`j zuQ`TClSM76{3WMl@!sR{wPrcls`4|>{o%>TJPCUVPmt$@yy<(-hvs=&WZA^psphP9 zSK?aYZ~auad*-Gqdy4Ic*qvO*c^*<%67P{|K5Knr<#MjTc(vqbmbsOR_);n)f!UQB zK1`BF!~`ANGh$P9f)^`fZmzk$1|qqi@Gp-BnO*Aq9+QIYlY)=rOTIa zN%-gt7m<_CPW=&gH1s;KCZQ#pt6JXm#axkKasTM@ja}kS@A`xjZLV#&T8%iXDPd+l zzS&IB=IF+)YJ9EbTL39e{V>_|Xn>pij8L9dv(@2vMgK&85#qr3Hyc!Mf=Hy#W@uT$ zu9sJrl`wA>sshw;0Nj=kgggQ0bs~?d0|-vAx{^5=0HcN6De`VWr~?~4qCJo-Q-;R_ zSziNORXhmT;v@q#&980xl^zV8Ro~Do)erE0i4!K!M3xyMV2ZwZ1sj0GdqND!phyN` zUL5kL657QOj?7U3oWU)Hd7+cUWU4cLjuS?-Yvo0u@d9C#9V>N_Vrl)0$xlE7ab9OJ ztUWU%0x0v$<>H>6+!(4hlP*y+tPBh$G+NMS9*cm^8zVV#cnm8&nFvLV1jiK|YY}TS zqgc=g(dR*g6TTwH9Za*CR2xbn;B8U!G7x&vZ(Ev1ZGGZDdk9zvSPk`gz*)t>HmH;o zf*y|1J%~KXXiH$k-wU4^%E`Y>6+9PW765H8K}h*g;r>D}t)wI$JYVEtL!<8@fLum@ z(q@G4V4l$G93ZgJ#=#h^ZVj>w0>p0wA)w8Wx|{lB$G`q9vJTaNT{s-tAE|%@``U}pl=M}_)3xnaI-1RXXn@Req}Lu%e)V2GIv-DP0mw@uy9j=z z-o3vi!@UPxBoKmna6vgQ8ux>3H8Nz!RA%~R7K$bHk*s)5bsz&DR@)a;WvoZjAAl)? zOf2R@Q=tA5_wS49gel^9lJrkYBzETlwBAk!3RGHMVaQ@h1LPEvYKk4-&~0(DNjnJj z#ik>^M+-38%ZP}3+V4z}2qMhwmsWVjscV58_oBA+ z_2%dXd^e%iJrjIw>*H%)saMv$KPvR(0T-_x4*lpS`y+136>eBPrz@ZPoNIhgAIqW^ zjdI&@D9Nv>(5fbZAVC_WqURNI>ttrp_FwLY{z&FZl6$=&povHFooN!tQ55y=XH+ws7ZBbn zAl3X|c>y^0Jwmon+eTrtMOHs8Jo)xZwDNpotO$K$d}cKFcSrEFVV6g6m9}zj>-d5) z4{PPq%M8OeXcz;SH`CI#Ag2a>`B2_jZ4kPPcb_xMXR}r&dcA8=__e`>~b z1=HPf@FEa=R(WTqcRNkIyH+8efp(bvCmPXim{@kjxUh1&juS8H>zazdxAz;vw{N)R z=RlA~HT7gIYEM(kRy0DocQlX20`r_G+Mjv6bl)E~pL!Od!Q zdB1A}k$A`Od)O*^8o~S%bEY}4FHVg?7WzjJhx)hX}A9*msF9k^!(OGvZsw}3LSWe zo4ov-x^a-Yp6dk>ZEHc2&g&GJI-P!!I{CUzt8LD|`r*x5y^OVr5iGE%RiJyS|2S4E z{2e+fns$^u>8VMS%dEFNH^xcyRlRg?^_QQdUhj0)vSKe|#iHwqCH^qADz2H$KOe?g z#=k=?m%aCiv7O8~&x@x+4VIo|%|kQPFGI!q^H}fX$JaY>KV9$p==6pSbB{5d0JgCGouG!yt6yAoOFs(;r{&-)#^OFE9>5 zx)_8IF@}q#WWM`R55jI}OXrVm$+#_uAW2Mner!|T?|3(h-FW^hc?9%rR^3onw{J}q zgCAePAF<4lj3>34Z(L+GKwyoG%zyWnpZG6Jt3Y7}9DkY(*!`ke>UnA4;`Az5S_M+4 z;wP<>e)nBJc-JWKyd-i1u2fZ@wO#dZ{ik^c`DUsAZnD%jV{du0xA=E3>ps2I58W2f zrWHgwZvBamS_pb*#7lJJkC#wy2TgV>SyT+Lhd~<`E+eq2@#HPv5J5_u+fX ziLYPX^-nSxzx34&Gmvs3MDU;g5`3ovVp8jvUpSBRT@uu~DFJC!4OFNAF!7wC@Aw$I z#GOC5o}O#+WnXc#=RB*;h5@6P%6$;IWsML$8o^!e>jX`kb$vig^c` z@^osK!QzmQoWPOu4S=~HF7|W1`g8?!+&C1(G!*M+D0o4>kVKB`>IN|xIF#EV8d+e` zNeyVOe+9Tw2D)gMG38K5W}Nd}@`>9HBn^Vrv&t)gTrvcPKBWWsB5;ygYTdD&Q+tjL z#AVP*k&93Laj{q6$I$U7uRWr)b!N@yC>wDaW;MT+;fuGg!Jg6)9J z72#QLcPgKa6C=&f>nQ5R3Wh-2K;{z7aKOz8a|r#$G`ckV_B8uu-7V|)&_RFaN97ag zbd~s4UJS>lNy>t%go*J=R`015~JSXQa1mE@yzCALMSII~^o<2;-e4S(!`Gdfm zF{!dc4e=etSvDm_%Z$V=bZSG7PL-qWE}l}L#YXNX*O(n@D)ul*XWZ?95xbQa6UCAz zl*WEAL1j1jRq?H)7(Okh*%~E2ZrZ1rLPJ^C8A&`^B$NXGeU>LQly!rUK9RWp*iXWE z4vC%&HC%GV%ROxvCP^|&5DJaN&73iDamgwq_h6nNG|a)9c}$Y4LBo}J$Sj)TnUAyZ z2FE=0JzG=(%@5zttpEFijxIaoAX(LU3%GC)+eW`AZC@0s#XHdHa43F`f0Bmu&s5>QqJc^(E=qvmp;1P@}fsp>leRAEefPF295XjO3;kZYm_muiy zkzo)Cih~BCKwi~T5a168Q2?=@?<5@HO%nJ6J)z+^G7k|CAwXrQoQNs_jQ`B~Uw;1K zL%rF6oYMfs;P$`dQ~$L()U+AWZ|0M#1ZHVvegz|)-0hP=p+94Mx{CH=$LT1Y_c@05z05$fc$=j+XQz z+XNzj(B@uM7GTmlU|t!c^hC4e0Qgq}Dh5VjvJdCKbwC7bZOMJsS;t*|;tir?;Bwl& zk#I}vH?YiLh#fI58bk4!6m9l3z;qnJpSQ{4?$?M(TKlc2_ zj1BEI-pr;lC^PHA=?Y1nkc(t$=-Z!?DfjkgC-v&E`@#SzG0?F!CJQ}`9BOjEH+fHX zq(4bq3CE{mvPXD11D)5QK5lq%E5X?<4klFt;dKJ#emJiq0z&B+D3tlav7X>gx+~yZ^qpkn}=_xHQ6Yl zR-Oa{?+vva$KvVg`qQU(NIN)zg{KEbOE}4{nLY-~ogUhfx@Y8*r>69ffyvE--qnL1 zNA4k#F#~4Mi1~AR`{T-f$s1b07#V0N7YSekW)ClIwDi!MriudX#wJ7SIQ@{YLJdSj zu7RqM$a>7%22Y8$Ou)hUssHO2diD!l!!;P0B_Z{tVsyBx|XLM9xyn$iR8L;4FDX;1tnkIW35fPWz&e3Y62dKL|G&*RrQ= zRp&;w{jLJ^GlI_$!=w9KH;v4iNxNujeuT0rKY-GrM<siNN9l2*_SVq>SdvZUKc_R#3n0_6#$9?$*okk!(R4! z$j8}pEXno-$615Lk-Jc}C()OZiQ5ziG0zzggsMZ1*aF2bIKqhi?AE>J633@4B zb1n)|)&ef4M}^iEpM3jWS2}gI&1p+{+47vFMf9ewBlr{WLhSSEcxiXgv~NUH?7Ze= z?XPaCVk{UN={u)-y+&{Zus_hRWIr_+U+!T9w1|W(I)|QC>7CQ5=e(sos-$U%^aOgS zq-H$QzC?O+(sj=F_3ZV$Q3>l$e*SroYww_~#a9?&NGk?200RM1XVPr0%D4ZvQM@kG zLIoe)2O)rLJHR&s;K@=CUukX4$GogERvO~JjqC;s%kGn+fksM;Gf*nXru5m+XI{d) zAWIK>&*w|WoDUp0H1~D2HGl2)FBu6+rxJtku4AhFOhcSV_Gjqp@FK zz*s|#VaQ%)h}trKM0KI%9DtheaE@R^!WqI*6ybBQzrwYt$+iVKG2)JEaxR^{BHsej zY}@02t~>}!S+PfdH5VKs(bk0ooFsE}g+@fdH8SfvO^_$R%{Wz(SWznIe4$MvFA#)R zttIJ)hx(w_3;`|*8SS0i0opyVY4?R9pW@ikvU+iV%cRs=&YM8Jq?+oY7x#H>fZM|` zHZb+spmqvCR@V(^9mw*Rg9k}C7Yl*PJo0f9!!qFvg{ET8Ri;-W*XMXRSuFV#;nTBi zj#zNmFbXK8gBJHfte22kD`Q@*|BEGhv~H)vBSD1a}2sKN$7S3Rwfk?Wjb6 zpPyB1nEirH&x1*RT)7247w```x6+)b;GNyua5j&!xn93T;55V5l{+~&EpuBqCRz|G z(>q4)G&=UXepmNL@wC8QB_g8pb8D6ZqmfpJc6HI9Tva|~-VYTcZ~C;m&@R&>g^4C1 zy`Q{Vt?ctofx+kkO@PC#)D}!5{T?TGYuaL)a-}Y!?{h2ljJ*=h07dKO5TI9?sKdpVcydHr()puA?jDe7-tNf_%Uxyw>F{-xuz+GZxZ=?u=cHV1QqCipjA0UM1(`|Gzp3Cx1wiQM1_0UNix!<)AKtG( zN|vAv^S-7YGHvj^*iE$x&!qU{7HD0nZB3@%8nN|~3bIqUqrBJ;44(H0C|+b6CKK8C zwk&n3%3ri({0MA%Bq^p7$>g>q&S}VaeF&t*UW_9K5!AW&>9rtA34}rr22{D$C8NvT z2*_30L_v1z_C;U4kiWQB70^<7%sg-shM7?i3`hhwG=!4U1@gO5I-vR^6L>1^-I5l9 z+*J?nTX&kDdDLkl8){j9O52N@KCU=+fd=c`P_CEx$QkvfvcXN+kO9~(SKy-^A#-}fa{N>@F4IKa*czj zcydErfEy4cz^5#pOzzNk<4kbV2I=%p;QVk~C4(6= zHz$m?Iy-F-g1}13#oL^EoX;?o4sS`zYsqXW(qQm|x?vn@VY3uQw}f3GrJlCgm-Qgl z;(8(U$LrUkU&$DO-fX=_Y6bHvKLVI3LuU6>E}6@v{64JJ;l%0fJT*c{2DEku*;F!} zOUh;MIGcTzqOoA9P%pTCHkXQcBA*&qbY>dSBnm@7PmN-MJGm?F_*ly4H5w*4F4l0` zXO^5aq>&ME&-(Yxfq`MJWYQaI+P8Lp(icwI)Ly_*egk`ljevTO!Lr@~E{M?ZNxn-N^-M`(3X(M<2J=xZ+%M9e%Wlrl?coIDm82bl<$~JoVzk?@L6y>5L-cb{Br_u^zZ{PmxK(%45d%Fe9cGtZ9`C(S2cXb6fgeBa-#&m&6 z&aWux3O~2I7|ZzW`&XP8G;e=ayk49O`K9ohj&;5p2F=Vt0qFJKQ|Zk$2zvXF7C(QD z_`KwDN0IBSp5OkwISTRkqNUT>YgAbLuvk%%`TsA`uHGVj4SX){j)t(DP8yR13x; z7%e&y;CRR4?a#C~j7~{>1f^$ME)ltSY@ocypf=g&=h6KLl9Z|?QLH4Fid-_6L*I6) z9t(@2Fmrr8N6wiDrE{T#FODW%86=^nrO014ZyPT5I&%p1ieM)!duH6CC;=3%FEV;s z`JTuKT>~~io*w!TD2h_ohB=l3D zg2h@)CL;O6fJSWVk9vI1A38A` zqazte1$eiJgjlKm3u|`(zT~a7u~@ErbjA4c3U}GVqrBVF>cpAbdg~ zb7+yLckFNl&yC*!Vhh~k?T*6T0yas%2*?wE~+APf^ZSzBlbu2F8I$rXi>PsrjJ63v4nSF)H07wOID(z) zhxj>2BWpv>EKbm=b3=Zc1GF>tVQR)f5Yv)nw+LLJEs>V6)F&-Tm_|;N#<3HDCH0kd zjEWqS3{lZRm@zav0;!q8(RWFSWNxG(eH_Fot_nzy-sAuwx*?8*t^aaZ?s<8!AGYP{ z(fr(=5hn8Je5F7BYWxT{pF@ME$q9nz72#Q{jH9&=h)tK$hJQa{CHlekZaAAAC0s?X)= zjiNZB!gRMo-|YYi)n;z5KfFMR3#ZV_&;qb+0Zo|hT<0jcvu z>-@zcngWb!eCIjeXU7<)kgea^RiKIx5x7P6wfbe7sT)Z|d+htgixSns4I zV!q#K$TZ8(`&2zN2Ieg_)3m?9sL@*{7B)p(6OL8*z8IY39wc0B2K-vkjk> zBq(azHD48WYI-vvV{MiVn7lj9#s1B1wqlwYIJ_)+kL3_Wp5jcH6yH=3Pbkv7yA#Wp z;PYAGCQ%Bs;!(r!k_@Jkz3Pi1KPo-D0(nbrylj8>N2T)Wgw5n;+N&mZqk6|~vRGPl z5;93%XO#wW-bX@=$UVF`M&iy25Sp@rV4BOD8nHW*i;Ta3{G2I4U}QvYC*{g`0(G0r zrzuUKKgeB&6;yVZ8n(nJp78``Mr@I7Y$y!5|3Y`l5;)ZG#+qt~@j@~M$QYP01r9a5 zk$NqY11Z3TDeo;6!d1 zEmi^dPDfV5${a;05W=UKz{3>2%8E8`F8V*FSM7hod1ndyUfQ(DRRc05y&|&B3r+;} zC$LG(YeR3|x?D5(C*I{2n6ZfCr2^`GJIR1$W16I>IHO|np#89Zv}6A%`O21{VmNB{ zL-R=6#Z&N=)=f@5tzR7Itctxjrt=cwc?nmKb2$-tnO{lJw!un3Ng-Jzrlinma>Nzj zR&>#dc+rZLVR^-q?Ay6&4AdI*dky%n@LZrN9xM z3J_jUsb&=rVdgM70-F zQ?+W^JrG(>e>LfB^8&(TUcmBcE+&aEG92t)1EHBq@xyUkkeg^f+o!VFBPxD2F2SM& z!*fP;`W0_jCGb@d#;uk6gL0qmywA*-v*@01p?r8wW^RhU=P_T?fb+o_=B_t(J-v}~ zS0*u?5)%FHlU5!i*dfuoQrCmOXxi*iX%?oEEqu+)aiPaP7+)GMrS-Bxpbb!9 zwnB+C?LT*3$l_ts4)-hlx*C*Sv;-fUVls1Jx3drVZrPMzF%#y`njyl=QY(99oA3ZV zO2g|yn@LSQyeR>Hz38mPt2jO<+S4cRD}8!KFVW=$E@)Oy?%P+^H((#(9z zmy-N^h%Y|ABrF+{WDM#dtHWV-&5@O=TFSCSj4zRBfh=4`a$wUGvUoL)7qW9`@vg4q zV^ixm8*4q2=hT{m+EvWg_2&GG)2F^VwSyHIc)uA=EJl-6IaMG7o(nGG6PUgB(k93$1W@xT7t#jsVt4i2; zw`LRSk-E2}|JR>=_<*1mBxyQ3#Y_KLz9Als8R)E6vfFXd-oC#5P_(79-8%>8Tjv$f z`ZR+Zi@Xs;n!O+cgM1kN>slcpNgYf3rBz^2(kSuk9B~e7e&*BwBBdy5YyI{EUP94e z{s^z(S=nl33fR*Z`u|GWXy4WC@j^9iU-uXN&{#?OM{nE3-j}V>&>s?uMI55vP zz?rGGoo};2`nd+2-H`#hJ?fP`@?oOPHOuytz)0beBZs-0Y&PYOSGHr2F0HKD!>o;p z@nB>fnNNXBrUEiuK*E+8L$y8Y9G*{I3D8|L&C*-(&|9A7$vD_Ab#rOoZ^`t@Nk5-cB7g;4dl8w%C z`4Mf?`IodMT(p%EqTs1oW2KlPXjb6VTNG;o4eth4GxO$vR8VBmPKmQ$GiUlu^ z?)9C$SIxq>@q-(kE)Om$w9pxtJRuGBv*L({PuONRB;GG2G&i5X4yut1`ECJ=hs8eQ zw-{a_;Qat(!p0fD!i&qYjKk^RZma)O%9zw=EW2pUz(Q%~cUsul4j% z<3N#xp3{E^vu$e!iY)a1{bxTB|KWtHFnaPL#0W*e;+RtqdLHNz6aUdU6hMAK&`MxG z_q4geSF=Vo!Qd&gAJXK}8A%5N$fn^V6UAN_F2wOQ@8PIoMj+@jfnYl0Jj6AQFO`tM z@)F0~&E5&!D_xpJFnjW1;UOGZ9Y@tC1l5oUz)HMmsbooYn6Y3??J%5?UcxoQM)v0Bt8OHVth??==n=U|BBWO*hhxo@C;{ZBstXNg=_W6ub32ojKAMB4g)v8WSIxE;<|zU%3EyV(?ciiCI)?y(I;expXy_Gp;jG-hk@Avs=pMeQBE8K zg$QsOabf{wZ1Nlct~kRFT=0<-1P&j1F{%zJ;akq>fll%ZYx_q9a!?z%^?I)G35A0WZt5=<&;z z6T>+mBt`FM_u+W=uWM7S>xnBnOVm_&7J#cT)uGG4-G@zWW)yRUEpepG1!U zJA~HC5ZN~&SR(_VfJMyK-2x!`GE|xoPH^Y!(c?Zo!EoZg(7M1rwy&~PdVuB+djSv8#V(8e$Dyvlq>CeJZ~+8C+ThmR)foDd zM_sF=Jq2jKni>8E#G1r|S%MRHEE(wtsGWXn`Hn_W@)$IlmQY%@0>gXG=$;4z!R6Vh z<}f%w<6?#NtjM9&rzU6G0p>S<6gz5rIdx9R|9L)htM>r7p`8NDB3{(g`L0(hMXL%4 zLBEwb9XXmU;%cx8(lZ<$yr!)OGo7)K=waL=738%vH4}RR8;Ea>OL!oN<^wVvxN>Rc z;YL%Sn~M4XOsnpKkUtujZP_0*fDvE&>~gA}tYoy}c!)4Ksx7u}^AVCC^R)r&X#j~PCuX{>;%>52yaps%(x$@1xE2+u?q zOulItf^|~O@tK?|xt_?q{GmSl*;M%!Ht)7}Hn<&zEy@U;T}N}<%GI%M8Ht$Y7UQJQ z8*rp$>0$_r^GAR5?H`3czPf+(N3gJ4oVM*h zuelhov9F2>ytbI_3*l2=o!9|bh-cY#tFl|IYOz}!LD|dGwLL5Ntb^M7!v~7@Bbiyn z?b(1y059Z3{s3a!?sbsw4IM;tcV9MF{ew_H8=lzJyc{dDrggY9vtMTMy#mu=LI=s<4hKz#Q;AKeDYyArE!DgrF^+aU?ueFqhAA7T?a8v~Yo_%9d=i_=a?HtA z#Mh9 z!?|qbeCWd2Doq`AENLqr*Y%bx%>s?ycAISiIA4oTa?| z#l}* zTMVJQi_I`@~~eb?Qb5Y$U-=<)0h1 z0^hU#4Uju6qO0nH{R8_txx*Xc&f+1&|4iM;Ob)62Pln6v*ICsFY;-C+MMPufNqKW+UJ9z; z?UsCL^@5X>Z|vCv-`Ml|#g95my2vY9CpqzsKI<5sA7|QL8e^7VwoJnbeFGmt)yago zD%0&(2rS`j<&{7-xr-`2L^ldeh6n+e+rn6eGYG_xO#%{^i6zwgk{XEPPyf0<{P5Aq zk>WZe(`7dbr%nU&mAoljfd(i=Zjy5TfI%x&?(MN`On^s<;UA@w}9o)+0yqSZsREc6#0JJe2g(> zqA5^&l^hzIui5+Myq_?0qeTR6a3{P~P@CdAs>t7VvpAlG_y_J4VGCyf2f-aBz7u&~ zlucfWWCmG8+SF!HgIuVlsbL4KXKDf@ym`|If4KNMc)BiiV6cRzx=!A9O}$3$o8$xq ze(HL&@ZGCSiB5=T{9El{CDI|_%bm`xbPY<9owfA;g`8 zvwMtA1_F6?z`aU!rO@XX<7gK7>rKGga6h)4=1pWb+7}MWBBT(_1A@~#LD;?yFzZMV-APkCbO@OnW0Jr9KJgHw0c(V{<|2hJgQxTA9d{a@V6-6`*(~#oq zcCUrL9?s#9Mp-f_3qxE2%|eais|jW@6ujXt-`aUaYXQ~}&L%@teAz0kI@0ybJlFd6 zmmfYf*!)c_n*maH3|>PCwh~|;Z*eLw@S5}kZi?iZ@qv~)@(~_si4kz3Ls8%Y0~fm+ zb!?TfyvUY0mL~;rwwsk_&MC1-yjZT?RNp zFd6$!S_6P!$+6vH*e=KXz(f$=9iF)%xV;8J0`-2yfu2K4-jQbEM_Pe!PA>4#i>}+} zhpL7HB6Hf*m)10Z{bE*~`pyxHVJL}uv$9teb{5@AT~IPyZ_^Avsf8Sn>TtwOFCJs$ zw+PF4Q6Nk(3Q}gVvrkGfXy|nx0S~+=xg!kdovAYr{HW_~RTLFNdQZ!~)6SGeeh+MP z1ty@ObLNwS7CS~zdg-fz_gASaN8-^o+>_vqDMeEUkm#`Z3q>1QnWL)q4%8jl5Yj>7 z2M+(3jmoaC$PcM5hZ8t9#_q{<>^Wb$1LqfR3odFzjEX!8=Ip86;hf}LR%^1gNx=@U z5qMlyKrP$VmBjgeL32r(r$0xt@}b1Mhi|-u(#H&g3B*_qRlPB$RBaB7;qs9Zv{x52 z+PrtP5+i22!|7FhZ;(jIj_D-GzHQ2b5S^$ZFGPW$tFL>U!!M^s3HCDtay7^~;Zdqh z!3(87Gh{|N~Z7mb8$&3#W zcYULy!;!x_;+p3h!0RIxVE`g_IflT&GP%MEEXT~$6O#=wig>Ynqad$;-Wdj08z1xwNRgc4eoZx}miUXlKq&bh8s0}d`#b2OE z2pB}uhd=o6Vb$12^23L(aE({A(qp{wy`y)d+i}E$6}a#<@UJC%d__JhfCOpLE?XTb zV@MdtORmXc@o@#5kpbdmvCHD2gMSbQ97}n;BL}`IE$6XZyD&9 zp9D#QR9M~2L#e8Ja>1f|X!0bf?pZRn^1B6wivnr-Br<)-DkY2HCBHvq{b(+n(j-b< zGoEdJ_a*V;g&@tL)YE-i)$hy$Kba3_N>eD6Da0_V_r%hL7)_s4rq5Q4(Yup2$>v>~ z(gaFn0v*9!M!Vr1$<$r6l4ejUGw6`7$;=nTahS~a3QxU-3Ytl&%p~yR-klHWVjiV5 zk5ZXO2St0Y>i2hxT&zPWO{G+(QjbsyO#yj;=W|a*xae(~RH;m=ZGX8Zw3tj8O{PpH z(+dZb-+gJ)cs@cI&8AFdQ-6NvHBFQGYnu5C#sN867y#f*1Joel^qzurQswd&A3hXi zQ}iWy3h;ZfXQnlYLRuXQz1ve~!c)%SSjU$AOLL1zQ*{3RX0g zDpqRZN1YHZtoo_d2|qY_d)s#UvnA-b=oO=*y{y58`i%`2K$duXf@(jAnY?+%YC_r zNABFGs+vdNu5(Ui`m$x~ZOfL~_xY|CcPhy2qT9{!3ekp@fmFu*gs_p=WIE8GHwRb20MTd8c&zrzW@?*MsI zK2yW(CtT-ommHje+HYjXZnW?glMeV&m9Cvki&+JJI@JMw__Yv7!7YK%U%Yw@2)7Hh z2MMBqXKybm{0Sb?vHH-xk?oW4p+n&EpXrx^z;nYqB<;67+1$gEPvpUtoV~pG{`BRg z(l0N*f79~twxw|T&pz{L2ykLCkWWL+P1yS7$A-}>jo_;Bu|a??@z}#}J;QjXW?Pr4 zci%MJVU$SAL({h%&88dc;3o6-1m0}YEi{?tfZ_L)145qtA|DaXT(#j1=a+;_PF6vI zmo|Co%8Z8l3vH$LGm}B>Q#&5L!dg@*G{Sc&x&8*Y3(C49weIQ9=PA_2dDVlHDux0TX+lMR~RVesCz$g z{?!^xt~zpYilNGNelCGRSbSd7xxWH% z*8m-eXGF%&pVt^qYE&%Wv`h}|q|y$i_YP=v2WUZ4u399eH01%fmNbN)K*n}mfyX>oalT|>Jb^Ee1KnG$zAEYK z6ZiDQlP1mAkb!D=*?-6Ro~wd0P!&F-{l3T3E1ASC^xo7vnQK&%j5QihWiu-mjuWtV zk)6AEouRsgI8!POCzT!$*-_c$s>%1|aiJ6DHBLl3-o2`%%Y#W>iprA79A17ssVi^b zdR!dkoE@E4$7If2oW6m292pl2=-EhXy6sI@te&#<365U`5id_qe*S-ZkZR%kj3at?quiwqZN)Vf|Qe^v8TIkF^B%#(L8I7z{7|M2m|# zL8=ACx%>I-Hg;gd`vV{uzI-0gHRzt{9@5dSp6^K87TK5_+srRts-KWdG}yAk%|z;O zCv{w5o5P{el=rG&<)cs31@b$vzxj*$XA{wQ#%TE&gXO|Dy-;72ThM|a&$udfd<@wu z&Lr@ia+B}t#f>AKNEQmo0V`lO*N;>|0(HqoI`_z2^lxW7+@?ZIG_@V83=(^DE)KwHXiMXi^r(GT+*dJl#QAs_5c>c>p?R;m@%UbY^kMAj)ofKU37zd2%gA?Q-MWZH?+L5BHNDkgz@+X zx3i&XILMJ1d@l0CY>c)!a?;@Krd@p7bG$Bu)K!g+WHG@gW->BwYp?HwueJBImI$Gn z=ALSsc}Yk=ZZ;1~L-!wQI8A6ky3{;Y{JD%^@JR-$WNMjmQ!I@k?-^XD!)zANcj*Wo ze}(w6e1p&qYF!V~UpsnLvUj^OiuImqn}}W7ztIZ+ldc7CpfoOzJq{-)Se}o*z_8;% z>YA?)JrXN;XxM_d(sW__@nlSx36sK?k2fJEf?-a#47$DyQ?VU|tMlL+CUV^E<>*mD z{MFYO7M+9%@cmZXy($oiSxh)2B#D?rNoACN=|52}RLcTe*%?TL2y|fMT9F8_ zH|Ug~;YPqnEfw+r2ym|u^~F*dVbhjN_aCLKRyMe+Y~b4Yxp7vsd6CV}=F!Fexm`1% zhxDiSwf*Vd?;6pLrc-HD^*{b#2naz+k%|g=YcPoAAq9-*7>PZBz8jhCUw*^&9gdGW zAgBP(@$0==4wL}^f#)c04#?%$5fwTT1TYqCc-#O5up5fW>!f`+VPhTZ3XpIM14%G` z$Y{9?MSwC)2Ptih1?bSmYC?zRGSjISXHfPY%1Jo|>I&kJ_x<{DsLDM3+@Q>7aS5kjhjS3EI;X9fZd^j zV!bp3S0bN`krlg2oxrI%uDu?81VeOi%lBRmd*N<`Tj*9pZ@5OCa4+JB*dq`XR7`Rb z#-6G-wqj4!8w&U>95WmP?FEtQ0z(vhakmww(~sCcL#Hz**ioawLOldTX8_)o$`dR0 zRpqgcRx~1U|n(^W>U6@i|G&lb-awg$ef2z8&mjs!#kSbv!GMwK}0wAF3P}JsjQ0z{s#+v*?w8 z9@1RhNOeK9i02V8%M6H*|!qC zx%sKISf3wmxUkbKRrk@pIoM`P9d^&|N_Jw;PPSpvXP&3@2&_bJdOm`N*9{Y?i^HG$ z-(T9;z4@%Vndr!;Xx6o^G621CsFGy1Qf_JmAr}0S7n0OO_C|%f2hkW28Q!CM;2BR`l)Nawdhh)6!yyY75!Nf z`<@y0pXvgd=(%D)s=|y0^hxL?6ZHL|ibd4>N(I43P8^0Vg79ZR-&Alpg(DM~_$ZBo zY!YrC-RZqb(FM3pl%(ktdfOYuc_~t#loV)wsw{~nX#C!wCDUv0D4+B7K~<<2!lEch zIaGd*_5FH}6-99XxO)R}e^7LcEq^N63fHLpSe{9ih7+9q zaWXCsgCd}hq7*%2!s~}$8hFJu7L&1;SpVVoU!6(1(5B0X>mHK5wX`&;+|r==8vQ&3 zd(6VZOs40wE$QjHMN~4({Lo)oo>X$V7hRz@49O0S%mf`>Y5{;=_|sh4KjJ96S)oaK zi_oqW1Z=Jsr6$Wpqzf%2IgQ&+5-+XoCH)3A3-BU_x63+7Z$R!ZW6x(P&4}AIousd> zmJpdTvZKQULp(`R>w+ezm43@_cV$HQ()c88AS8 zx$$&4k8}8Dn^RW@Cl0(gTUyLXdiPAyJ0x-;t$$nN*)m$1#xdCxcsc+=Qd2NGG>+~O z<>bs4Zv4(dqHkxn{a^h8q}loD0JK`NcN~!EG4}>_*7eYL_JOY8c&ixyVC`Q1@~Jqz z{JDMTn=VJV`>A}c%A4|4XXAk zc2;IB(iVR#0(?6kMUJ2juk4p!;4HHr%OjAqpYd3VcR7HM$MJxsJ{D6oVXtVB$fPh3 zq@DpP+$f+Nvd4SvVUY1Sn--!ivaFbAyef8iJ3M+RtanfTF&6nde}vGywgB>_W!#&M zqkr_v(d}{)2^Y@-rPA9VrdVRbwlxC7Xx)Ud!>6X@k2giLt_xq%1;S%4D_95!!)12% zyN~v5)KoH2BZ&YIqT=yntM_lTK#Q~VCMGVs4Gx>@^tO;h&kx9q<$fijQnUycweZ}V z&^&a-mtxesx2h4v!Z1lDs;F@@{DMmWR=9chFAO>20dI!HPK-?R*8qInJ&dq7hEY%;rwXf1x!6^K_w8tc4GtH+D0lc;s5hN(3@i?tlO!cG5WVhYy0xweUS-BC$W#I?G-s<-riP8dA^`2rialuqzRU^9ZLXXH8Vdc=@_K!?Xb z-E#TT!ko%JwX8pqS-M86Mc@j+Jsq*Le%dn-qbMV8u$0ZaR{!$wOW_Z1|c z@XP4B%Qre;o^OF4IWP-uW!!}}O%Ae$^`33&LU|70(zN%zeG;ZyCRD_~EtS;4)ZXHD z0IMH-w+IVDwB;4-0#`C2agvddyzi^-8QI+p-t|tqrha<)1+C;}O|urcs?Uyu<9$?o zxn_%mkzQ9sXFpkj^wW-c&X;T2mAlg3j%@8G8Y;3y?B}Nfsa=kz+7p=Vk<7$Uy&@&0|Q@3^!8dGwX4$ zu`9aR<$P~w$WkwcHc2(@kCuWb21pH>1YnYy#!Ey<7C+f|{ogw{{{YjLQ|S|R;3g+K z&l6yX&82SI!&RrnV*>z;1X*BgZuXeijRxI7CJk^^EAX~sp3#MgtRx`2)+@X1kF=yg zh5?MEV#Q8Ae)zCJN~|Idgl&U$5k@UUKaoKZg-lCTbbH1%cT_#?vA4h>&C1pd2HsGH z#!R;;bJ74|^9+2n&3hQoT+86Dw1lzR5elvfcJ5G3-Y8c-Uku=%LdFZ3>Tob1^mzb? zK(#EF4(C;V%;A>;q!?KwN8tFdF;wdQL<--jE?fAaydYHJ-2>&3`pW1C~**uu@{CVH5E$V1w{c;k(0Vfpz4iQWXy^L;z z4IgmI5>_%YEM&&@RZEkftg$d)$ms(Tj8{S&C=J&$!3se!j-W_=*(V$KN!gD_us$Gp zg7H1@;~Hdc#}5`Kh}r`@^za{{o491v1whfy$j({gO`VM4mtQ*ttht;;j% zY`K&H zq0ARR&7WWhY&403=P)-q87)o*A^<=>lYIhFd<>q}I26@$#FRzX6Okj7Fs3 zBAcr!k7uOSfuI0?gnod_4|$aH)5~8Bf1@&(=N3%SrV-FXB{$&z!!p7ew_xF8CD}Q3 z8iHx)6QA+KQ7@R@twaf-hSAxSDIjr=g#dCq@A%?E7Y;rgG6vm_9441YEx~lE09f>l z`q8SGX%_-uiG$$*)zj(L(|N@N4gsTlGc$tq*MA>=Eb-$RR6v@~s;V!v^_ZNEf&f3T zC8ge+z;RmAe!l_dsO$cV^Gehze`Kg31h~Ie$r91&SduH5%f}J-RBr4>!12B$ov9)0 zJ0ID5gnjF#;j9Mw&SJH(D7VHU+S8)_imsa$l%AtOe9VskWU{aD3tbm0O=y2AY5U_8 zt5<4tLz}C8o!{!V<*ZqkUukxVTEZ)2R4Tvr!GSeb4o@yeIQzB?m-h!42*oRQtie1Y z-Be$|61DwcPwJA+`kOk+xGRx&Lni`V-{|zB^PLs}?uNS)kW-OsE&;Bqip?=PG(5jL zJDf*WSMcA5bes2LmuzB-V`qmi5n@08HpAw#@M&=KDF9l?UX@RM<5SL|nS6|v$8>j2 z)8X@T-nMXhOh1IL$^(cDje4(xn)hW>fkKHkf50%e3&K6mk1~h01{-m|u(dnufBm60 zL-~HHlm3S&ZN`A2TZ=HTSln*B3ETRn;ouP$=yLi+L5moEf19SiW)7NFUN#%ptn6Nj zZT3;BfOkn+pGjQIu{LD|>VCp*Ea#FR3L$*v1oK_pS1T&LkYb+aNO7Qfop)VHr-_7v za>z46<(y?j@F8;{(Ap=X{_=$k> zj8`0JG5&EPAd!SJFSLh?C_lMZ<=HMp7Ayi759Q~fhi6~hQ7)AZ@`vnpv0=`1b7*qD zXo|E|4%`5~3C??b14ff=2|ov&mh66v$3*`VA}C<0hSOpT1ddeR~Txr zW6=p!aV(4evslsV0gG&S0S7o^3mngex!FN7-gdPCut)or1kvZ$Be;p?D28L!6#b${ zwkxMlBJ#Y)BL@9I!fGWfR)~m5Zz=~wxlu1OOhJXd%p&Ktq=ZA@k89kYgdKV!NQXr5A5uICP{#|LHvUW2Y9i{9>7bqlz-)~{n64tXxDtCZHHZwL-N7J&Nv)O z18Ar%BMSCXROYt<$d^E2#3IS--2bYJcd|o=yVQV&h8Awdq0{~O+61}e#Nne zjyLt9&UxZzqtl>7kj9~44?u}zP$DB6=t!HZ#JOQiQh%Z0{;c8dyy4kmho>QMv|?3j zHq`3*1`@r5itD)e+m;7k>hy>~|5y3xAluOt{-0|Pa54ExEE@00*5^9pS(k zs!j*&eS|m!CJDe77n#3U{oNHFOUhL^ZarRRpbw>Jce=35{P}DPZ|g-!0+|Noc?il+ zJS?+VGOfaKSMfc4m{OgInSL|h-5!C1Ro1xnsv(_Kn#zm)IY+b-hY0q3lM(0--**!| z+fy8Qg9gDc-*l))rg9W+s0`+_eTn3PlVE0q6Dby2qN*PE7{>n@auP0T#Irkl+aq56 zkPI3?YHn^b&JQtxFjNe1` z|4q|Z_mr>UTm^Fr(tOBB#hshZbGpE+*F_79gkwI3A7Q#u?^=knfcIwIcSs2T8J;z$ z80@PGjuKpOkQPezVz~pW3s`rU3$?`dLu;+QR!@QL4Im^dQe9;0;m1(piT*{MCR z+v9Nt6~ek!?x|O5)IK!!&2d`OcBpTRXxG&p;n-O3Y0Dt1n5I$37k`)#2XsHC2h}%L zH@s^GN`h0IYP$cDvUF)XEw?VzwduDL+6Sm2L6E6W9Hnx(s={Qk8P)inu7^Ej=K^4` zlUh_Llm5t{Yle zd|PmUS9cT#f&xeRXs-$dV2#3om3jP}NvC{urE-Xc{rq~F)JhUsNKM1Rzy%|$KH0*O zRdjTl*sXH5(APk)DLO+;*&L;7At$pE&Nl66y&;~^3!+-Rf_yjh!n_>-w)MV^GTcLh<_9UNXix8)(*^3VxXEh&i? zAmi4~-h|evx3in(iPmD?9`LHYqRzv<(i#~%=X}F{1E7IE73|hK=T^Ww_Ag2I{u#z< zGi2!>*%Q!kMbxmu9&58g^^`9d`07fy?pLkT?9Yz&lhNT*!q?P&M(`f*#k8cTodcIf z-t8;e71vUZj_V^W#)j{Gh)l3>J|0UAo4=)wF6kr#4gfA^q}bRz{+>=Vx~Fx(<5VgA z>NQkf3sH?0Bf#}Wt5N}x+7}!cjZjy*Ab^<~w9&2Ot!5n#p9W?$Tyhdz{8*e2=r`U{ z5Djusoj5Jb&OJc|(IbneEpXeyCj!_qupb&ukg^eO0=i4`m0S{`PfvKz=Sw@B8S;j! zof5(h!L5e(v+NdH4Wxc#R~~DeB1^P3C{AmyJ~0vIq--Ftv~*qPREojf(D5s0MFpp= z*0D4ehZQhklRTzO{YTMOUGY^UqslY!TWc7dy!=;A*EMhQX) z;D7-WT76ny52H)s2!8Xw_jYm7WGxnA+&qF*v+g{dh*XdAMn^un4AIQ5W$$AiEK zGUf|fh%|Y&s7Gy07n=G7mk3tyzwW?0vEDCqO{`WRyK{L1(T?R6{EX7N0{L{bnA9#s z_B7K*9r?w29C(@zhoV?m`?4pI*@Ksm@?`m`L59MdWutSf_)Lccrq3CN6j{id;z)XC z1L9h~xMr!H^xGp$vu|2Orz8hUph!&CH6UH?tUDh5Gmns2_J4o(?j0XoJAN}TBN|jJ zLsu$(lNM&M`Y%P|VGWIH>5#^@+BzvX#~sk0fdGB@U|)kygdY>=6GSKgoWluXtM0n| zlFvQ>zd52^5%w_1&`&X_1OWt8N$5n8rO@D}66Av*a3bIOSAYEO-KmD5E~y8O{vqcB zg`ZA0WH{id+FsFJsVU*c!+%nJI}8AF@ojbvo|}5p%fs@z2LEqMit(9XzsG7oE;BoE zJ-)JDXn(k1$gmQqQu!TOU3>Tp9E9$5^%eLa4g&zuQODUIW7=mVd0dGT}qeUiUD$`736A>*4YJlk~i zYSC>D^GH2|Ax2cJi$~mHSA4z=60?a!9~$$`G!*3CVofVz5X-cx|HIl!IUbz_8@7Re#SqsRz}Vv!Xh z_C{c?wMH&DuGl0nyL!; zF1gOnZI52Yo>kSC0=M}B8S zc={1#Hm06VJ0hiyNL(xOolFLew@f`|Rp0LCy>L6j?4R1RULR{q%-YCI${u2BLg3JU z$_Ne}f9yAE@T$D;s5efkPdWxqR~Z{#sPiCMAXZ5fT2Y7~A~Dc`$p}PYvYA^Xo<7pQ z=`cay_9nk9$>ggo%k&{LBbhPDjDXt3gO{&{(OYpJn5+3_7Av8tsi>Qw<*5~MI1~iY zsj{JcZs=;7Z&!Z)Lc~J*e94>j;)FxAZZzqGfb{hOD@qW?#oG=Ep%EH(p`zGeYj5y) zxyIdw(^DoZdI)SD#nOy;2z~3n{^7fKdIOc0V~HjdemjTl0c!HOCF_PZtsHT?pe%dN z4}1JK?W1`2ZERHlk%082|CTR(_2uDtpI^&^eOpA)8EwiZhV(@^8Oj7saVT-!?4M!7 zeX)+fp&IbUworuxo((nl2$RG8+9`T6t8lG*dyzM^Sw4;4^eMiK-_((*#f$JQpC%cft%PmBO?m~Ba=7bwBU$}jj6)4 zu_KW=nCJ3lw}Qs3WbeTb?e`h!rW2xvk|6RDrh0 zB)%x}qZ^4jDLLSlWXT6-$oTeLPN`0!4+^JU*xgjV^Hk3N@{@P(rl1}&LX19o`{v5q z*8CbHB%zl*BR<&gIWhDD^0T7UQ49fG(4QB?-VI&;Btdw# zFg|e6c(Ew@2jCE#lr!{C7`tHB;nES8P8Lf`>ZsA&@PiWtQQ)hxF_+D5{Z|pgW%Gl_ zzTR$e^6R>N-^!$sGwylR!7hnuDNq zf6+7vB{ou*Pw$lH5f|smF_)K;P&Fe7$;?u?Q6eO}aYA`qJ$plkh2^Iq^*a~zU0KEM zZ9!L%Yi@=cizEQHng~$afOjJxl9>j=z@cCed8w-c_*6mP1n6mCWJLl`C5wZB^Qpt* zC{9#C*+B4GIV%`&TeWXx*t6n@uEvTeTZ)D^Mfo)pX<9u_hM`(Na}kgm8fEXz6l20E zD{CN zrb{5Tdr1^~s<3QofxA@L6A&C>c54JEQVl^E(DvY~hjy0W-IEZHn^UCfk7&NB(uwu2 zlPTSm1*kShE9J&EG105Q{nVW4>ZJ(cFD0O}`Dr5Zs5=-`=W6^~&LX3jA4P!axa1vY z5xER^y>6~8NJZqC9lO!+90(9DEq4AHm(`LyTLDp`0MMK9Hi73Q9Hb@+Q<&yeg*dm{+ETL}llE1($?0F+H16O3 z(aihxM{#&z_E&X>N7cd}=&9r-0x>TPNTe^niL*K(SwDP0>J#XsJB$m6iII(aHH%fl zy;e$jTqtFDzu;C)>&>KqqxrUKYNRVR zeZ}JsDuIq>5;Y23nRa_D5q}^OCT)q85-Bb46J`s%0uZ$;8=Bm994_({7GB{Jj8 zYYy%LGL9rhHbqC5AEd1>b+&F}V9HA|AyT}xZS#uk-ffldhInb(hwGu2Nj*HI(pJT9 z4@QFeL}11<%tQ1NUEMZKeI8jaX#K7C<>B>a8_rwT5bR;Xr`F$logzzeQQ!?68M1_A z!4)e)2qPY;ER(D+kQN0_^a&smv<#0b^?k75)%@?hY zHV7T)I#@1qEoCB5@=7l3N~K+DLOF3NKv)CA05$lZd?Z2Qtyof4Ua3JCa8jva92(k( zx}0$(7O1+=hR~Nx*%=1Ft@f!P=DnudmKOaNYe=L9V3*rPyUZ`fsjZr< z#dCsBWRc6`6%|sW@Cr}RK>6jtlix5uP}4IB(UcDbio2k9e{Db`C5U&#?t0Q>GKLiY zQ;5f01n#t7>;MHyD4yNCIn_5*I+zole}`l#km8{E!80R*O3WSvQ3vfD(zbvs?^?2C z?vwn8M5YDF8MUs)0^ZFRLWqU+25Ev|g zt&CEIpKb5RWPJX@)a1#Z;OX^Dr?#m8f)9iVUTYRe-f ziBg(ut}V$NB-7a0e5=@0@J^Ad2pfb$sohX?j*wKM60!8__mZ{}$Ly^4bozsoyD*84 z=6#)f3SdFwDMZM5UT=Uvc~b*E)3FIWn6`eJbT=GIbRgFU)g$z6P1E`^V`r0SX9Q-I z^mRis7WfO?qkEh)2U?$MtBt=>y-ZHH963@qi^#>M^d@ni0C3q~!!zn9X$zgcL) zLS^gN)SJ!nsRbVuR+oT10CDfCcR7GtSJ#e7PV}8z0qX@D;%4?`h(Hir_M&O`#ce(KKIy)AXAw_CT`E*ZH;n0=XVH zECsdknYY=?m3cy!*A?Tgy-mpgvv#SW;%aN^>zbF-x-9PZIKy7QW&f8eAFO4X^x}m3 z;_grFeyez)@{(g&MUYKM<9OD(Z#}D6Sd#-9=9%GFzIaSU=^JEo@A3)7cM%e!FUm*yy;j>d@)WR;;HGG8gs*rEgXcSDFn-&g5SZggNtH`uZ<$tV+NO)?ch7OUq3FzX>ce(=nDQLJ5VsTA^u zLNe(=JeIG=5@GBHszfFwf}w=?uo+}aXt5&Yhz{dO6$)G_gf|sXI5vnf^pwY@J{Qm8 zj!fVVbd%I!RB&A=HVcU>mm|um{4jbEV?WcyJSmo##l%m4-WS!`@YBaBP#aUD5Fb_? zfXiTG>WQHiwjSvVWOQYYpBbgHp%mXS=6w;$lR%^j`D&cpNnOA}&1q+lA~C<(B(5qF zs3Kr<0fr>=f z$!sXe(#P~&?KlrS1an9sy^7qS5cidHTo)B$ZMhRmSm@0?j?TzYblBOI}Bio^Im z5KzMuv6C(|uD(op)oJShF2(yq1}O;qI97B_x==V-vc7?d!9585{L~Eik3EQpgc;%%TwJk#5liQY>LO+e(D{%O>x{nhXC4Z-8)`L>li210oT*t{e3!D zo^ysn!~v6c$fzk9>Y7F!CG0KGUUKEFrPby;0Lg0e6%~e++Z4|Lsx7y6N!QHkYSWGL z;zVBPJ9t}AZ#0_En+`~Mu9*CWwiiHPS&?K-=@i$Wk~Y{=p33JHsnt4+-wXIX;NoY2 z@5EN@Z2QyUs*qz~r2$BgJ$s%Hm>Vl`XfglpZ=Z5`3TU0xmGr(Ag1Z}9=@3;{P+#l- zX-F3wWPTqDX1aGc!`ZbmCojnga?mS?m8G`s>JDG+Y9L{xu20JrK2oIqklw%hPnsRn zR*vC{F8KNCN}_1OIllE5fAa1f2h#G@bY17`y~9r@$X!9W4>oEQKx?gfocHB79KEr> zkTC-@fo28JJ{|t6{L@BU6dPMC!wV$3R3ddOy1k!H$e&{l130=H01`0BZd=sO4wA3* zKlv~E?Uk$2(%gx(Oqdb_o@YqY7aoWJ_B;#61m?&U8}#b5oIBfsQ-E(lE~ zx^Xu=_K3~g9eak{Kjf;Jj{2ki_fkv4skAFKWQPIRBEqn?52}}&oa0du7jzo_L(x)e zS>dd;T{LZOiJOk30^p5`rI1R1>1wW+CF%qHZ~NGv_W5CupG{PKET}uHY}@?UV!a?aMj%jV!0c6jq$&P$I`V zf@V?&Jn$#o->m$jEKcame{^W{+kPTc$ry!((+T$9(do0^m(>PohO~Vbm={h%OP}{! zJa7W)l;1q-X7b9(ca7mia|FuXZ$6*~{lrOI!PQ0*rDwxdap2nnKwrm+c{K5g9!$1$ z>v9CO%I2WP_#sSuG65c9*ZaUSx=XEP@SE2*zZzweNm(yInBjvTrmF0|Deh{(j!q5! z)KE8$Qqzgl0BPv)Llh+q2_@JC?ryuj>vn8toQoTXZT3RYFKT<8 zzx)Om{&wE%><P-2U{P}m56G|Q1Ytn6J{?q@zUok4*A-0S82AM>a)-+B^jy%wJ?e^1 z1#&O(QqYdQi5CmIdZcU5@BRbErm@#eJ*#j!f@ICAIE{IYn|?)y1A|_*Q!4q|T~r167FlL^8KXO) zU9@M_Kvy-;n=}xhs^$=8lU~gaJ)%I^gDG|0X)u2w3Os`R;8IpF!Z$V&{CD{PLZH7kH%d`ug z@(Q_tYPsMKA8jG-8Fb(fj$_}ztNGsEts0}9w{Y|+UOJ6=3|_RaoyScL82a|*w;Lu2 z*rCyv!k9;{n$S(rO)Af@A>FO~droP9qaWK7h%P(-qbjaZ2lN6fXaHb9pTAa;WaE0EV)qg7*&#}pt|lE`5p40o4j3^<_%29}ya5lAGDDIN zcJ%=H3Us%oEBoFquEK7Qa4qZuN+CL3Z?$7v@C&sm_7SNr0DHRRi5(fps@ualsKJ%2 z;?~+@4Gxa4ugDLKibC+DM^260xE#o+@?VI7+gO1d+(1?m)tVcv||U z4*C1~+BEkxR~G`y27&yQ08-E~jHLe)aFg)7Rcz3A2*W6EwhI;i8yVsvD?v_=BZ!iW zkF~3C>-jz-pzKyt-PlSPf&USx1nUCoHczyi!L30i<Nv&V=sM75utL#r*R*+<0_JJLn*$ zAxdDgt!#YC>BbC2O-F$DH4%Yhbtyl}x5c)WO3Kq?-&{fC+LQN|wX|Yrap8^f8$dftoW5WZfY4;qSJKp7 zQB$wx_ruyENk!k3#Q`V9WTH-c5%${(5g-zb_If7{@TA zADn)>w!vBHz#Mr3X)5;>$eHeoR_sKp9xvimRo@MKX6eD#En^+0=Zmv$Q+}>b_vYH# z=7@uBQxt7?rCFfY)9l8FcW2NK)t^fhd5!;nK9_d``g{pquE;Q}klUaYkV>)Si_d53 z5XPEE!2jFDOT2?1lC``IeIc^z^S0)@H#&{aX6jHtLTK0erS94`VUc47D zh9Dn2T+vhnc>>y3u2=L20Xfld*t|v1L3F9Gpa%FoU_J>e*xisZjxWN?L4`p1aWWqB zN4kG?v|@>P!+DC$p%v8jk0TJ7dnxZqn+v9VeJa6USHhVUhX8h*4l{fVX~ zvfM&@#1#(73>;A`@grUL6evr^!34)s?(_@>JeT87a@;~jE*`I^{0lf_uOjILCXx-w z3IP&RH>c~mskgX70)>V_t?70+!Uix^iz&`WWYM5nVC`x$`0}Q7`pADpqR}`OX|z2M zhX=>bkiY|7FVWaAcCNzG^N}HNNK(%^51M8~y5sxQ-TOqNKFSz_=MKh`b z3kjfJtf#VLke>rxL$~F+EKchy((%Z)#xo~Z1!T4YE<-v{EBukH`3)#1hdnUMA+U4j3!j>$^7dS!TNeMiT#*`+^|gcJY+Bu7*|Ev&1F^SxS@moq zgURapB^}MWZv;@s{S3Rxu6T35_nevaH7#D_H$dX6?0j32adxV~2MH;!S8B-E=6K?@ zpNx6=g(3^3Kbx}}{Fz0;h*bIUTGb`;Nt!dF-`_5HNA}(G5e&Oz7R$)eQro|2Tn#ZQ z&;esngKM?1+v{o5AQtG&vtv5RhbEV$*=1ibwO`)R)tAg!2d6O*b2TO|oxwOO2h3t8 zaaEqK!i@wWX_h5q9%iZKJCUmlF?bX9#ieCOc9wbgzz4fkviyOM4+1N6kb#ExlwDJ9 zx436!40=p|b|ax{l`yX3`i!s+a1YWA9;H3&Km8#h*w}fw_o=A2ouA}J0x z2dHWmqkYnd3Mt!ZSJsZ^es+-E?0<^FPk!)#@G;s{tgcRzht`)v~62e55nbR z-?qqDZGkmcst=;%!E-`OFtlqM_(uG4qCUzp`o^kr}DKI3Q9Pz6iS{Sx?1z2z&CoO2F}Rnza>quH{x*)B9qo)Oghi^}#ehCDf05J)HXfSWt+I@0zFE{6NOA|A z+GcEmA2==9hGYkB=|Hv)wBgzZHa&;YCL3t@B(P*6Uh?W-_Jl$xg43F>*q&>B%kY)2 zKXNQ2<$rj?%LnK%wV4Tv5@f%pb>G&4?#BQ~TOc*j!WknB6lfw|&mN;V!op+(!-h%j zR&|f~kBzuuk2Sci0m_c>9IW|*QLy*Id7M2Y$pFTfOvGY2LrELFo~8hp1+)@(?7r7H zt7O%$3dWR*2YCtBlU)5|Ty{6IfjrXHzyE6+Z0kmP{xN(>J>7dQ#6JU`BIg^IR zF2Yn1$hyu?-!LHRrYdYT!Pdpy-pn4DgKRxMrH#79Nat5*3>$u{WN$lZcVt4iiK=qK z@TCl@28L9HWS~{`0Je?C86i^u99B`B<%Pq3?$KxPTn!lJz?T*WGRaLwRvsnQ6REzX zupn2$ORxo2L!%BZsH^{R%17{}W4MR@C{ZUbcXP||LfbRw$ z7@FRJ9vJVP*qttTNj8;C9}FC~V8clyQu}qG*HXcC_d4v;TTPXH&P|Qib=az0hh%^~dZw*;K&5$5* zXvQ_ToUR#Jodz*)a{E+*)Y-liR|QqV!0qGyI-CQZ{}7}Wh+yOiS?w}-Lgw2dzm{I` zBN@NtsVz6fyxD@Fv7^(s7!iNH#HfKr#S1`hjY}w*W1MZo&+JGaAPW`DH8|^?7Rqzh z57HQaYCqO34DaK5SFUL8k6UhNh$maYqa6epI%^4jp?TD<`2n0~;jSrk*7p48p<{&VfbjU#*A@8ZSwcKT35 zOAJ}bKaHDgXlRx}R6w@zxuUsE7LkGmW=bO!D zapEY4Trx@}Yv053jDTPRj?Tt7v+H_YDov) z)^k}`IrX(KFqYIu5gkl^5?X>+xd!2e-SLffX{qCbv>c>-&aUj~WIZE|Dt~@9>ZAo70F{x>f>2SP&$^ghw@iUZ|)IMN@0-IL$}|eFmM87wWXo;AN`5S zwpQ#?oNBG2@z?c{>_v7QTWTUJC^njEv@;#h^}fLWF^ZJy(^Ybt8%ZJG_F%&)RlLKn zy(o+^pTvCgEq$Rfu=(jl()p^ZW#Dt^&o}uIj$jRzH`L0QAvs5p0#SJdS{sgF6joOA z!Ooh5c(GKP#w1rI3qz(>0a2VhNk5FGH29cLLv_i^P9Oz+g~NDSQeWe`1x|j%l93lV zrF>}T+qKgDw#Vj|q=^joZ8F9aLdgh~jL4J`zdm#Vk~x$Il6M|dEZ)Za>d;q4k2R*jxIU>rYvvAbV>M27~4N@>P>@m}FF zGEl5-;ot;QP7X3GvJS|2Q0`m(Bh%L736}Zjit@-VHQK~@H*=WF{0uiXnPM~!r`m2o zOGoIQ0eiVaX;5p!C0&yIw3OMJ-&XFc8Pg)Xe&W^N01V$7N|v>?Q5T-i1P zd~?DR4da~2+oaRv)mC5s;dGe)Ec9(`>^Wz;+rlc5lu0NK2iwbEHi(+yo=(-P=51SN z>fO^e9{QWJfuHH1eX6MIaxo&9YP3cFKxgCfSQp-0owwW(l4#C!6mI^U6>&1W&0scPZBD&USdWP)#i^F9p# zfnys1B4d`sv=48_aa#3k2LJOvnb;OOB(haj2Fwc+*O)hJ+Oqf`k@NKOtJ5xLAg~i{ zp_taInr5nO9rWuKT#|#tQMz7J4sK>v?t(MMF_OfqjP)ehv){fnA=BpA>HMw5>s! zOv`6u)rY*I+n0jGpVb?<>7*Pm1h2Y(i)!0)YXu3~EE?I7?@mjmV~x9)-*&~&Pg7m# zF5o8Fq$uz>bkUdJmWnrEQYy6*&l?IQ{15uJp<}0ITsUV>tz;6-+o?d8U_VPHr9Gp{ zBb9vl?LxOwxgd3?<&1vaMNy%v=8}I=tKozrKVkhpjoq^{7^tLGv zExu^=aNf?q%yxsZY$|;;)M-qh+oG|ZW$C1-7nu!JUF$7PT{zOsl0L$aj#X~cCAxSj zWkkK385G!&v0OMl(shb!qbHy4BmbskYI|-llvFT}x1(}fB^h5p-ZD#q5rBtZlFEU7 ze0Mga)Uu#U^1kDd-s! zVOZ6{P07f{^MzTEwy<)8j6_BuD^A8fcH6($a;FLdFJ>4RWBc?MCa*`0MPwQu4yIon zyrKL=Sv1qPN&w1`#QY3SOZGjWa@V={56jFQmS5TV#(w`#{_cPCPyX)T!H)x}0lZBP zI2~w&$h<7q9T`Qf{d4OFX_YB<-VrSzxu zl@9-H1uEY_^d)tv1~YZmWj;;@7RL+wC2ypL#olbUYbO;+A^*$zH-Gr<9a)j$87lgL zLJT2B-Su3MMfC(Tb=%ZOd4%8M!5nFl7l-lLhhJ`i&Rq8m5QZXWvz1uJ(~cnsoE^#X zK|)dB4N;09BN2Q_lDQ?&JbX{$&z#k2EtU+(RgYUor9VJg+0eo6&!o*b5nho;Tjl|T zqlcn8GDd>~L}uCg4S_49dae*y+SCSm(6Yz`O-6WSu^&{V<7+BWQz^V6C=8wL#W}9m z2-sU6APS^J@GNR6WaW}k3y<{1lExJP*Vn&cF@w<{bYa2_oy?qnq~yOL&UFs2qY5 z5)!r71S;b%VUSB);23WiFUd8T`js6@`cLe_ed!xdnu%GEy19UX*JA5vor~>DR!tlw zG5orQGceTU)&P?LxWzd?VOF9xhF+xF0*}tc(0o80^c;{di+rD74nrv)&RWky9~;F| zU2No322$XOb@b%GjY2mItugQ<(q%L+I&FxYf_br-GzUxoK^!77V|eL|br}<8pZ3>c z3k3yv&`A<6i|H;nxO|3E3W`(0+t+o)eaKLFv=LBmBnj?(vz%r0;Yb@q*VG-LPpLM6 zhlKx~3^&i4XDBasVxVl;IE?X@>fdAA?uU>-l6{R*KKj?_0GxVSXDjAh_@PKIoXwP}H&-T9NU3r0b z{Fb(TPFPLn*)#aF5f8<&4mb4Zl_CMBQa?SK4BJ7V<4BN-wm~w+5fP!)I zSyepWY3vcHOL*w9;RkH6wXTaP0XX7wu2@nhP6t`+fEC$~HBA!5eMUB$DI#>~EM;Kh z7Is^=&;!jECsF9hQ!v@ZfI+?O42UqmhGnfF#B*0z|HJrB$a5Q^QjTB;Ben1JT!2+6 zukc(*W?|7`7!Z%?^Z$pfK!;0_(}|?vEbx1mF+UKY$WIRXPrzvKosLVNnIL5}wdWYTz&K3@MIYS|n#bIUY;nER! zV;_4k87=Us@vrEY_?1A+48QQ5^>aZ3(^kM*A#pC(5n*>ETR1yhdBt(&PKNtz z=39BYM`~D$hbr?U&C`mwf=#{SC#V2;pIlXF(LTeEvQ55`7#Lk08wUzdA4T#0@z%PHlva71zG`VBKwYjvkW^!K9%!Jk&pq6GG z7ECb8U`;n|p;GeH%D)TaG?6(X%KckE)K2rVMKGjtmNVKbnaG@v#lLD6z|fU9LBGo} z8yf9^;yA-wAW-<}-h5%yE&vJw1lUWN&`=`)2Z@q1yan!Q3shpVXppjIdZZN+1snUl zp8??*h~GhG3K>Yrb+IhtNsWD`0st*H!QSUrtZ9-1gl+_6(B@*w$+VnxQSpIvqYsR> z3*gI+97*%uPk{C9C1kjHrXE~WB`yK&;@;xUHsgD7+ zutvB)qb&e$dRC0hJ`}swK#x_$TIOfs)}xP;S)ssDk@d7GA3++VitYOjQH?DR&H?!C zgIku%g$TyvIoLn0%fqZi$?WS0ahLd7-KO;CnqUo2M$-~8Vk=RC4xw%=fW!N-W~#Au z&J?12%*6kYj))zcreYI}bg^vGpKJD@@P9XjU<=7l2%&8|W5M1YAf66_1Qh_z!rHme z=7Fs!OYQe{r_lK9a@W^%Fy^v>%zu|I|LTY%M;^z$B#b?ISRlJyb%#GxTG?#-WU*PN zBn{HucU$8}#Cq0PU{y(1kR=6@dkT1<7l{377i8BYCgXI%*3xl!b}`Rmb*Pq$^I1 ziW8<5^X{}io+}gI)8(em`P{R9{5OzbkqZYY9DgNZKgi&&CqMEJo0?3|@o)OaBb~V$ z{S#eEf|wR0{R`Kc)2`$6L5Xuw4}Yrzt+H#A(=~YWBo8Pp{cid-k{xL`dVKlquF-&$ zi-nIb-@)B%w}+SCGGQfTtr5TZGn=td5ZSw_FLZG)>A2A0G9O72la(mJP&^UE)2~## z#p4Rs#gca~zinynJ3JOug`gf`06T3CFTX-d+PAe}s=^M`e;g{Ulpi#L-l^!F%{7@+ ze53mI<+n}y^4$S(EO=-9JzKHH{RWPUa7+p8yAB8gKlLC8+2&|VfLdN_cb2R5f>w$CUoB=o^T>;g|Kzk9dmh#=nz;rEVzdMqgIf9N<=0A7 zaZuA{qQ_z%Kpt&Mdzp9(!wSVCQ9L$#Y_<(93OCgxlexvj)q4g4Cf?AmricRxhf^7< z4r_|!KtjD8#iZHOnM*2^fMy%FcAmPjsfXD_1*vqQ#M@WawD4l1-?FkYRxffLoF3eG z)s+zN#jafH|D_EVPP}2>(Qv=ok&B8(t|;m)DhexucDa||Zk3fWg!#1gY$-5~1N?aP zzAE)dEUb@JyI;5hTo$Ja%#oy z&A`dJEuQk}VnJy+YUTxIeSoet`(ZY7W@iFT9h*bT3eNiY`i8`Es?jz6)z$fGdte~^ z%qDB87_Tb}gEI`wL@_l=liM_OGw!Z)**Or!I9N;HxRhkHM>g&_l*~)!Y*g(pTe+X! zv<0Dl8@&mA&DiXE8W%bN@Vz>;Z-m2e94i29-PNx8)8_U|Oy1#3G)1cHNBZE_3xz3i=CT@eVO=Qt>72>*C;)7@gGKGF*lRob&YezOt4qTO)1ph zcf%&M#q!QiObC&;WaSJ?{-a%P!32({T(~Q4#N3Yi4m*}nwJ~&JOa6>s`T4PGa+yoS zm`d=xaI43l1G<6Q3X(KABV^fsRXgTdPh^^34izwP8!u^Q##ro4v_bZ@B>AT@9LxQg z(*+-1DeCdPvcULKej(vJcb00`CzEQ1STRX<+YEI_CZT_zM#xU{xv1{Ur|HLE+Ys3; zQ}^{bb+0L8jBImOO0=8If=OL}+-9V*ai-p4GggQ7tom7X^JXjykqRM<-3sRRzb@9m z1hOBC^Lc8sesxR4hDpO4rAC>;eFIAKBhBT0`0M(s8^R$(;^vWd+>tz%xRrQU8?;95 zr)l*6kJiZMl_qre-`dRFqu0X3VE+G3i!#~Avdn491A?0t#Ikpij50KD;sX@?xnWJ6 zU%mrlnF4JY4EB$9_wwE9YOj!aBbwMqUpc*eM;CmC5jQ49-hxDSwdO5DB~Y4vv6})| z$NjN*`ITBf88$S|XX>~k%u%Al1@UFP^tV)qDtr|2cl19Z2L*N&7QzGVLQ_htZ;H}~Egt_uq=WEc= z5AC>?_A@g#n>tOkowsFL3ybCM0reYo9&(Cq%ILNCbDn=cLBL-Lm+86#|8;*{A)FJy z>{n-7HZY|s!CaO!9IIurm?8Vc(@jT88^TAbVwX2BzjQXmv0ejGWew;cpNivUT4c?I z_*%%tW(@p=!VG#d&Y58&Ewj?!H<)8rYi>Gi24^^Uez+6_kMaIw#pz8^HWeLb)MjSBS0KAaiu!kR?TtCkc{e1+8!K zX7Dyy5|1GwIaFy=8TUN;v1QqN2|N0ses^Gz#8UX zF`nzO28U-uVo(#Jsn#{}|A5NX6dV}!6_v2c_?g@LZ4b;7)!rl7-0a%e;{z#jxBW%F_CpUdSO1a}B8V&Co^lR`P7)ou1`;I5 zZ`}{h)3y>-0xv=4=R}f=bUmG&C%JmahuJush6S`MYR3VoCdi1V{{l!EM^N*>ctRlA z_yoN8jU$nqwC3noVOSc^r%BIb21xS34}JzrD%#y@8#&Fz%WrD=%Hyv>z|wobMnnp2 zUD2*hTf)n)c>&OOv4cynkNhW(X1VXu!mCQ0gn$5{!RNnId88^ckRg&|L932rzvo)M z@wAMHKSMt9t_O6%%U{esNco$L)*O%<%MHgl@2QJ`=T9F5taXH{APEVwoU2_v)np6P zhNapkdU@b8kI)ewl44I}&0({`2c#-}fL+Fmk-v_FR99pn{8Peqw zNJ4gG(BSET4uR@;rd`~{aCLhp?Dk?(@Rqaz|I|p63mA*G$a`B%s}8h(bYzeOCrO;m zX^Z~}5XV@YXP2#cN{XXm$iV7W)x(qu7|#*}9i#wf2|bl$AIr{2lZ)o(6_Bs%1L8?> zD{H%#U!V6m!xA@5{#>54EYFWkWqe+BIB>9)83J!52*NdZhUp9h(f1%Th%zT8^&(L( za`K+;6n6wOlLosC*Pw+s@%yu`3(Jx=Hr4O3k1pqKmos}9DxRE9`|@k>!jxbFt&5ce zlI~xAU12tgh=gV|4xSSq`zeX&$#z%BTec+TX?VKln%OAjIu9>Gr3MgkGAEz`q5oN& zZN?4K!bFUr4K~M3UfvrAl9zghUY@%o@20!&O7r8;7*kr4ORaqCfFe6IFd7R^;`{)# zGp5mo1w^-39Q%71O#F<;St2W>zyTOpbn>!6r+?=sf4ms{)JQNl!4VLYjU1gclc4Nf z(d5;J!;Fy=%z0ehwdq^!BcgNfgR`+8)gcA4`uM{HZb8LmyJ;MAs+{K|xpRbVbVeRZ zgv6V%=sMw2XE|_c(+c2%WN+mcsyv?l4DCRpL#8Mmqu2Qg%&Ve+@1+6LN|FM;LAXFx zBH0i~_oIL3)B&slQomS-Np;x==WwARK{Ea2#L@QV-{TL=F@SuRW>*hk@L^1oi)#)n zCaKeK04g>ACja5K-NEfI!N@lqoNS?F@=A|HNsu_H(#tnygsZV0&>NgMK9o15O^<=RICj0JFr||Ls;~{knJ)N z5&<^3w@5JWOr4TfHKvI}ORs$9XA)VbK}rL_dZd=0not_fz&_1T%qnFj%kC{#_ePVq z?ox4@sJ1|0 zt!MN3rp!7=vb0eq_;Q&seS7H5^mWaq4uv6|d(02MTi3Ltk@1;naAJ5)*H>E(V&*s> zg+x&nC%*NM-+e!zihz+KXf-=s-yG;T<=cP*7^spFvKd{$rwiBszyN0p-QnoUrNJgN zaziwrNa)`f_);u~B&Ab03=Q6pYEO#(h1gQ^&y@eq53L{mq1+jRcOd1PevAb$zi`vN zJ(3&u)B_=)V#Xai2u$}#%uWIiM$X_Kp_@8wL5V+ej-pkRMIp28IgEvfL}-kexU(d z?zYmDg-(uXvl+ZX0UDUb$~6*Zu|F&Qw|?|T%rw==Bvl=S*&a*U=i?UuY*(y|*c+|A_5*sxx1grQ1-NTf?Q6R|UzvU(^%U8X|d zls*(-H?F_|O?&;aRpsKc%Yd7-^tDoeckY!*B}SbeFLgpP`$e{(HXWW_eMJ_uK0Ey| z&IG!awwD2MEEs`;U`D~tN@Lv>ct=F0{7xs_PW1@q-+Z*EeUa0##~e7U&q6UOz--bn zWCRO#%ffj0^YLI~Z(cd+*wLK>)X8c<+>9nB!!20f{ZKJ0i46Fi24_O~*{E7!3k3%KG@ZJ_j}6jmIzl0AB+qu^w>YmE7wA52egGdF^;aIE>RdE9TJP2~v`wRU3$hRL2=rqZk5$FaD zx>KRi2kyw#o!sg)cF1Q-#UGCSLG2d|0ut{+6R8S(HTR@Wx?=3FEol1F&@IAL3+QiSY!DAdaTMQxSFb-}}=)-cb-J&L|IPX-&l} zW3)M&3FwIy``-MyChwOA}SWJTPe0 z@M)lBI zoKhe%7Rd$UO)B_{D!_iZ>23GsvuJsk1G?dk9ywKcJaq_)XN-)trLlJBzro5h*36xH zlfV<7kI&f4Qt$MFEr>?mVy)?XUbBN|`WvblyPAMC^D}wRP|J9(Y%%buC)a!*t~b4Z z)BW0BSLOLENUjX^l-`}@|95ZS&Lm5gq;+R^mN5(CKWrFbGxwI!T@&v|%LwSm2$7j5 zGovyxB0C#$bTPY=pH1TUZ0B76~2OAAkrlD*m~j6R*syTeqhho1VH= zndkWN^LF>+{`sOwyx~sIu;pI6Js4>UY&}=AVvb4Q8?Y6z0(cSL9*kh|$@QTGzLuYb zH+jkYIL0+1yqLq0#%Ho3G;9m0Keu+F2y2U7_yzv>U07o?3#t@SiwxE&5^NLAQ~(Q| zW-2gXnpiGgFg25n>kszo#RB!NHU}*yZ8p%doA3Jp5=rVN%>hVlj}p8mu=vI#IBz7l zG2-d65YEZ^c*?&Y;ac#zFU^K9#OY>ZevZxI_f^zpRbF43yc8C#F0Y^D`hHsSiB($W z$9e;M0I`%Ig{)@DoREGx8GJU^C+W?_>A&kPxP1ww4Bit;)4%!UhYxk%!PiHyCa3ws z2B1VZ)K#ik0w$h09W=ll;V*Jrl?p05?b^0QXggL}+aK!Z*WV$LyFj_{uBLy>oVcX# z^XD}QUx(VRRKa!{Y{|sH1ZrqMZ_-ra40f-|u1_Q5_|Ubca3_P?UB&>&wui6c>7W7)o9{Td=rQKtRclcC-jnN zYG_JKH3RI7CwX8aGR!w;Lqe)i0QirFAdM)FTJRlZa8f?P2fX>riCs7JCzc$ICQfxu zMc2Xg6v)n8wkE z=ZCJ9Ox^>$`y+A&+`GWJ`ymPVsWVS~$<@XOCt6LL_E7Mfcn~nkx*z+o2REPrzA#!g zCy>6K=8%-Bh_rGz28}N{Z#8wc#S|3kw!F!6advmwIQ=g(m?Ulj-=WDf;uj`BQYUzE z6#Ld+{6aelwH@7L4)Qm0iV8dq6z!hyF@oz;2G1^9m<&kb(B16$aInna zeFO(2-)DRcM#>K2#~=*gRfZkNs20dW;RVrSOtK$UPRth}lM2#DpZ@hd{>$TUVA$Yq zsI!hBC-NYpm()xcJ$h6i;8Ma?f^;fgkUgeuj6^6y>nRrsgGWxZ4O~tAMTXauFnkPy zK%l(&km=Pw?aOg1rWPqK3FMRfnqY5!hGbHkx8Uc@6m^`LI3g)OA zv`N4FvkxC`05J1;q7SYu7IT4QMe10XKUzy3>}_^G7*0u1CSU&*DS&VgYgG4?&#{2b zL2m+dR3*W=ti-XS%j@r2Y+2R!AFKmOS1UTT;MqH2fW{Yr zDhy-Yz+uFHu+433E`f*fW{xJmlgNs9g8aF*4*-)^;#?x2fcXw)A8Pu+E=jP%F50Uz z0xMy7u;@PMSP(2VEVaqJ?W|va06snEf`(BKeKKRA8xAH+3{UF^d*7_`?)ASp)N=Rw zSICv!Z;G0O29Gv`*1~EaAnI%6Vnbd<;1WU);YJR^<^sG4&3xToQj`|+hpD;ha`s@6 zK#Fs6Y@L?#6}f2a>+D*b{5^~TCNS@4;m9IZwuh}<7-a=06Zil0g7Sah>fQyIW zY75|HQygKnRVB+*OmX5Shumav2eeMm4W_J3 zp2g?mPE8tyj0F5Jnfk?dDNp_NCJ%1xN7{Z*J#q$Pr?oN`O)Vz^olGmp({^`U+Ycj5 z`6T_y6~SAlQ#jl5vz|?l7VH0hZI}~{9UYqx)LNtsSRt0h6Z^q&jXWcTng`Z+^BA9b zQTx;8!OpVBXrZxnBEt0O8{)8 zUq~G17SiM~{`H{pH#P&-^8*%*kmo;!;}AupNTSf1PS$dV7xa1K{yQ3fs-Xb? zqDTMN_7l-;&w5(?@G%`59pgDx?AN>utXdA^vh(>%Rd6re{gUa!1!w#vaWS9vHLlLNfHz;h{oM9poanc#+Xzzk_rr|1N%C$CE4>PON!KKcB|=(pQ}eIQy@0KDWT|U zsKklE^M>Vm#TE%qq*)+w9aD=(YVj2{&lejw2~AD$@={7b<6_82ZXg{b@ioEZMxy#v zy;|qv47l!{wS`<3VF)FFNu>iRlgB=FBHQAT%0EWn6`X%dR5lIZ*|QsSy!l7LI9 zoH3ghgJHM!N_$p8*TdTcDGxdgDx!N4-e|)IYK4n|vw%{WZI0Ny5Ee>AE7!n7bvE5B z6Ia9U40!Y9sR67C)@$l>S|MbZCpm}I)zwv|JFdlW=y094AtT_jE_MYx6Z@)TD0?r3 zZi}M$o7Snz8+p-$8jq{%#+urNge2)Goy@FPH~g$kI&^(traF=%ayoG7V(iz@ zV-V-aq#_}e-erta*wNI}Rb7@BjLQZO5Xh5vUey;pDxQo=D5K({4$=xDO~A2#{mc3V z-MLPe$CbqeILmyloTb+P{FOfPPn-`FdDU&v5nE?>(!UNVOT`fYetEsBNU}tvW@U4N zb{c+Q+x`~K+0QwyQN&{GatOZfD>VcT!}kCgTAQkP?nqX9&P#=-6?;blGKt&29it~m zs#Kk$AkrcgQvR8~Jmkm>i~x}SM1$PkC;Wwa?;|U|Dh_*bY`UL@X2yOG&Vlvmnp?1ThoB6qT{ZHjjw5Lcg(RBazuhp(Uwm%Ws)R1jz zx{lca>n9!hn+^O7!=8@LZgAtngVU~8yNa&opRzk|H1l&DNYSLZrbh(32LF5yktZbQ z(pe+Xb5%YUPdHfCsw&i>{ZcDmtpDBye1FnFRkTO-Q?1^>xGds&-;uJ&a>O1d_th`_ zgmh1t+o&~TUffXQhSb1L-F5jnXYWscNVIy)Pb9IBGPs3-xK#%SQ2f3m$l)Y8qx6eH2D$D@jOi+#kVMpt$HS>xVBBqWh<-&F|a6bilz#W236 z5E=^X^gCvd-uI9T92Ea?x&=m)&If2ZSgX-YEy#iBIM{4-=&)R`Ps-#=p-W@fWt`Qyk$S(c>%w1l1|50@@TAy#J}A>@9YhG0H{;Z(hPsi zzz^p2bfgN18OD5|O|ZQaB_pKjKIj$)+P&PDKsC zFH(3(0(fhEX+QO$uJ6IEIp@5;dxW}vJxlr#e;g#AU6#)|-h;aOteW?)Ar8lwP~xEf zQ(qlmHCrFvIH$PkWUPG`p2D2v^qA{VkykGcrPxpH2sj8=H!8B{NQHq9N*0C9>>Tn3YqF@-+Kkks`jf82q#E$-pXuFr|5;;4jMU_008*;_JavHQ7-wd5Z%R8(1W0yW(@?b)< z+>FqepfzOtI2I-rXYlD6jyZImLk1HG?9E{Qp$|Lz`0X3&tZIL%t*$@EKy9fv0gc7- z0jH_Y4sYqIJaUqY*TzauEhJ>PIfhTULr4sAPa-4T@im!rb?7$BhRTn^EM|-8Fj1 zbKE*1=~KRUO9A4a>jcd;!@5pao>6~v^zR-Yj)%V|DXc8ncT~Z5l|iK&EtbgAU}17y z9noX`J83Z@z_0uVy7C=!lvgU1hUF4vfgG@r{zPdX#b_<5F>U5cmmwi<35{E z)hp;w;^H4abcn-%{91ji#6u`lu<%C)TTeC7fn;q zI$y}cVo~%jGeuAW^Sq3;gbqvzd_p3Pz z`}~hNwP8C#=1eN|&ZZk_C4_n}jSyUWz|$J(Ro&5PP~CteoW54q*aAGBAlUMB4qCzO z7^y5CfAe7=NA%a%{jI`7XYY`WXbFEg$9$cYSKrYWWZ6~f>zzrx8251)38?Qqw48`} zyp*^MRFg>r;V3Yi;aSrs6Fv{}Ke@sRd@gHCOydzEM%Ei-rVA0xO*;}lTlU>jFrSX` zcdh;?S)tR#b4 zp*QkZ$hFb(`-)3h%$@HQ4ZO5}-rSi{t~X{wb~;;!AVK;<#%7y0O=$h{ip{lA=5dox zxxrcDmByBj?+xD6m#HL=+RYmujjLOhk7^zJa>(Paw)IUTV=1nWT71J%=k!D?@lR&3 zSn!_5sLWBs3bv-ky4FV?z#ys6Kf6}#U}&s-x-=jC|8_<`skGQF|+ z{N()lJHM^_oMhAM`5qN{E6RWs$G4M2Bkl3N{wb0d^YiHR zUALZTZ_+%q0mOCXQpOAUbbT~Sk3rTOM&H~%FF@4jRW}SASb(B;%S0ZU;Y76BLeVz8 zt9rs&ow=u!C3QxhEntf1&VbP(Ju|kt=CM~H0X+?;O-aorP@~glc#js}I#fQ*uC=p2 zNP2VCHdDhr{hUeysT7XbGQ~Q!#xo{KF0y3NpENKtb6VYP{tYIR}!$GVKXI@+w7qbc3knH`x@hhWu@C&R+muRrb0Grr#M-v62U zmZ-?>^0KJ*z9NMC_0GJNqANq(TYfj9mia_u58B#ShA~^qtExs_Dp%?*O-XlW{o8;S zvZ0o-3RA83YXkQ3o--T~_Iej*j{Fh+tUEC(q>G`~oZ)h<2`%dqoUtW|_S2gyMsYfO zq}eakr7oFljW{p{-eYFRW3A~-Quk0zb-b-}kYGT0J%<`gPxpO$G4`rB-w=b_eo17c zuGf0jYJ^4me)u(;Qkli#x>gqFF5zH6Q7cT>c6%>6f@>kBThgCzJIj0gM;wPxilMlN zqSEa50~}P?dI66Ap@d$TbCa&&STy~skDK&bv&f$2r?N*9=19BGSMfso!pz$D+7^IE zD4AwCl!Pw|saT$q?D_7ITlt@P|(X*&0h8>!UuJYEfZ&96o^$$o-bE+lOuwNX5WwSi4 zQBr9R9?EKB%Q;DY+o)dHAi!QNif%iU7$JAqWz@U-ASC#{?cH}28KMKNu}2ged{ad* ziKszj&&lDD(5o3aD=CW(B~%|2H%~iTugc)SXW>=-;h4U{XPKvp5hKmwXg`C9m)+EJ z0Ix#W-#AFbc-s(lZRQ!%BS(`lj#qm=GOI4Cg_{>eQ$Q=c)?-F07EWr>2kO}u$EiX8C3lWUv-jVT?_JfJjlf6_ZfYK*Au)W?ehH8^FNu06><;fqC z1qsf@=+n}+b~T&098Xg8!;eh6pX5{ORI>?&DfA7jE#?c znY-+vnO8{>#RK`*O6#t6;x{@DUAGj0Ot<$A&Xpu?h+jpJ&h~WqtES$Ov%yGGiuz5= zO127rIFpBcrMqAdt&tC2R-4c&+G+;xykp(2(q=-S=Sp)fbEyVJ3bS3xp_NL%lvXp` zqMe@j{nC2{JHSLlhe@VZbUwEZXtyP|`WunnxF0)E-ba~fp^I?{*UCV@CbcIO$1 zB7{4Z-&Z1E27fzaQ{nxdn4?kASDltdPV|4@9o3t6VF~K96NW@2KTGtM$*K z8p+elA2kwh7ngrjy|j7|yxLuCCT&C2R5{g+BOJjYiyGi}@_1-cLJxaQfrFWM<)^n} zd%Dpr^KwLO`pbOj&qb>PM`9)AIfp@$wIf3dLV^~ms=ki=pJX2$?X@b6*m42cSMuy< zqH;8n$x*32;KBRgLo^K2RaJYynb#tb5b_=;dH8XJ3e~j&mFws^FSk%B;R;{EmT8uue|Jof`Bp{?o`~nSN=KU zc3SiE7k)O_P~BN>{wcyD` zfot5sfU`uefTg=H`9}Dm%o+<`1OiIU1EI*rGWJ^^gk{y&zhQ@9e094|9-;0KTH#$v z$^|aqvf`IJa#T9l@WH>txeNW=VsS_BSR12Hz4nTid(@ zsiuiKPJzn>YASz83zNKS!G2@rZR23-zV(sz+SD6U{OTMeM5%&br!P5&!?S?jZtD8{ ztdu@@n9_87)tTnc;X{o}=1*Qd>x&osDSe%H$R}(}Koi%OSIkDNuD;?o;k))NcGGGf z1yexrj%zB1P7t`XDTc^WGgFD9HGR00BqK;Gr7XWPX-)j9$4=6s-GKCr-X%q8zHKZ}&Wbcn3^Z|51%KK#8S!CZkp?V&%{sow7A4T@E& z+u%nNMRlf>J&+AvusZ*~=OQS{!C&YgdEfm_;^zf-kT(921WBDnFAxLGe;+NaOFK7a zuTS#z&JK0Mi0U-9SD4r(nLERHD588ajo-f^OjqGJhp zOOYMwd}eNL8{~gY$&af_Q_(69#QwQT8(I~JZ58g%G2|~RokOGNulb>SJznkyjdJIQ`)C>Q_s0`tzM~rVr>mC zrR-Rz{Dx7~D^FyxSQ~4YRKe`XS&0mzt;1H^Wqa8v@h)`2v+9!=Ks7uqrt%`bFbF-^ zskZGM}JH&5qymko^iJsoa9s2 zep0!UR1-wPs2q0|&!jYQ^N$#bTSv;Zj%d0k=XYBmpOI-*o;jKT&cu0P6I24fZ0Fm> zMnB%W3UEm9eOz2h`edR#y<)fg+n;Q$7}*GM`Uy}i#ar?O-ymX{M4oRS zP22N2fZ5^xVsH&k{31SLcjw;)Ui2WNV z@owRiYX=$!!Ly<%ZRIu2QSjcbJ^N*vV%fkh<}HQQuIa!@mhUt*>#N<%mN5qlw;WYL z?@V(X5)_SN+;x=p&3fwC$Dc&w7BnwvUI1L>ib`UgQa&m2mr)yT#d?39^N#BeqRmb# zZg2;U+j=VNu*;#PX}IJxFNFhF>ksc{2}U6v4& zz2J}EgsX2^S^O0pFObqs=SsKx!_Fy#0&dk;y6&+^|)a?FR=7#kWi8?bq=(o3T`)PTH zRsjVr@%Z@LkB4}B!1iRIN$D&{Zzl~<#z9Pnai5iV;YEgwo$t< z1ERjgK|0H^xUIwZJx6BR+k9lH z4?rtz+GerWS>8Y3kD_@x#xCg0-m@B=NKYr`ct8+R7@l`_KZqw1kj0!Eb2nhWoM`T8 zjQc>Vo07x60%IeK`|(ndX|R6Dwuf1bku8jRTD5t(k&$Jtj6mbVZ!#c9AcJCHF~O~* z|0hJ%(VR|>#Q6kaj<*AGsEBd=AXsH^!r(M{EC@rMesy^XF$(T z*M<0U5OGyPduP+1Dwv&hPpYh5xWXG&hxxpjCn-t^Ajb{<>4@ zHk)5$Ue~M=;UuhtUL7@@T;_YX>tNUe$dj+LE4?DdU|n3%d#M?kO?ygb#v5d^$(a|q zxjinBe0mk`Ez{{cP)a11#~B%@l@c{gl$R`y_VI0EOPZ1LcC!_4eVO%WP4KL1tmC)D z&_aH)Q|btJIg!cqwg)y>a?2o8e$)AG5W7%Y-1Ju@Zyz8D_;ZqcbkT1Lb!x?6THNT? zql?N9LlV5nD9e3ExJ~W~>_FNHPqSV>NB$Axq{@}m_w353JF)a{lqBzx4NL#Cns+v?uk>=@IXTj&%qaD?6 zUMEw09vzuvQ>dfbqq{BO`bH<{MAz2nO?T$>(dOlEf7V>U z2&RskD2Y9!l+{>~{=uiEk7EC*wkLUA>i(Qf)QeGGO~X!`oEoeA8{gfyp|UlsY-R52 zo&7h+D^U`jx!T9pVAlO%n=jxu}n}$BW zP~3Fm{Bil`S)ZK?netd#KGSH|HKxY5R(8akLlBW`@vtB{XLItmHFCQNO8{YHB?{b* z<%GO%M!>in_-#e0Llx{Wuui6v>unGtpo4BT)57Btv^Z1RsNgZGa>9S%d*2&ncEdt+i zMGdHy;Xqc-fU{db*f1rs0Fa98s)hMmEMO zA~-SJ<^d>z`+sDXtjx{hzmbab+yR6w7t?E8zK=Ae1w;wEQS3EEhQT_TrV~Nio-p9( z{%IQF5l=`7)dG1==9x%+ghfM#MW5Xorv1$-!PIdCe94CAXE4dzX9sS7j8(tkIPo$F zu`xMJ44cvVwjY(Y9Hj)E4NpmJY?)Wt+~$mptFrN@e_f}~Lcl_|`g7ZCqC#DXYc~Jc zhj*Hh*~p}CR7)nq9Myv?&}$~OzRrCDc8nw?i^z$n(oOqe6tM`v43<|pJ&mQsy*LM4 z3q!VA<^~yBj$KcqK-3r#+|QhyKUbQ_66VcZa#y{QvK~ggdc6BpiO7pJ3X-o;UNBgY z#1D@=B}vJUSQ@V`WDRCYs(kTISoEY}w8HwEH~%vpuXk0j`N1TpmdHGFin~sfEYEdh zOLFwPH}+}!^6Tj1#NR02mu}&3eVE)Y>?3DvNbyu>D;ho1zP}f;G?6!q#;c47dt{^H z-_Y|#CJzc;lfrO#TZ$H&7~SB+sEn?fxtsVnjA2^u#-QsTE z>w3(ejoN5Z!@J@lmD?nZv*vXotiW&RY8kc(96^VKu=|22 z^yoASlxt|)wWg#RtWPBhO+RXdC!Vi|Vp8LvHS}082lY~Kb4KdC2ewy4fa}z@zTFoROriZnv>pMHrVFl+?@ZyMJL#SAS!YNwHvFLS-ToCx=8UD9_3*p zVOpqr$?T!Cs};yY@+cfE6;Iw558G-PVC9Db{gYc=bRrTRO5(Iip(qn*#3X@&!q${=g8#|;g<$M-9Jn|3XE6B^fP(E7O9HSl0Do&Jm?*ifbY60Q- znpgc>&KHUNKrpIaJk53FzJMY&b)3+=(6k2m_v@1-ZVkzOV>w>@c-K_MmorvL;jC;^ z!-pY_Zy1=v?4sW_a*mx^V;ABy^{q=HhDl@*j8MGjRdgq9s@Z;dEJa{Ps3)Xjd0PF^ ztZ&g$dh-TWiWCByWw9%YwSSy+CMj(c+b?dEwq>QFPSqX};R%ecxSfe!mU z-GU^b^t`N}f9TTKCjIlvxXzwJ#$(uZT(UDt^8|zEifYu>5jw>5Q@| z^k!3?oXK)kZ#yZ2P-7 zy%?10dLP6I0Ue;;_5|u}xg>WjZ;$)To?&K$2w)CQ4u@ogV;Ff*;;t?&J2gvJ4GfCF z=O_ImDnEz&H<&P9M;cE;6Nz-|8GG9ii*T$2hV64}il4->$qT5ph%`7Uf6Ru&&wjoa zF;j6rHd_kjg;LXdyau$G1q5)4V-~O+ug;1NJY0Db-cCg2Xv`rgpFF!_Na}x9D)E|z zh+Istg;> zHw-OTM}F8cs*c7!_7tn_OiQbKjOai+F+>fCtap3}{V#p3eW~_gmLJ=G-#~r3$1T&6w?AybpX6%i(jMh1k=GfK>J&aCdi2az>|v0rFq6bLVyrn@ zy&=7PT?BeTacbrG+ZQD*?}6t_F&-^;Q?|79CFQ4AIOii^GiPM@>ut{7x=0}VQfD7X z!K`oJ0*ow3n+MF9B}wSH6DE3Zj!ZPuGqqR5Nh||J?XKkG5#?s_5sN+$}Uj)|`fAy>V}`y4fTak?>IS=}~ego9SOEXHrQYVjnvBVRHVVCAe)D3zDU zR}s1B)@A|I)iZH7z7-q2Bctvk<)9-lZ3|G~OLCO<%=v`+b9y_$t4ABt?B$>wbu0;r z>=&*Q>07j6L#SAWUL*50Y2<38QV@;}y>#t(&j588Vs zNh25^q~y!>N@8_x-sVUIB{sJBTrn0;tUtE#Y=Gsk-C2&8r=Xo3S-n~Lr<9TWp9;aqBc_|xgaR+ z!B7Om_WI?mYdKBG+vb@wgmiEBo)#*`y(zKXW=FCxM$2oYEWwq$4ycR4VNwcP16e_D zvb1HrFNeXtlP{yV%OZ|l`=#8iYp=X&v3#&^w|%m~UJg0swyGfIDfS3GQM-wQ>(*!) zYifN+QY+9bG2O&3CK3?u>YMv^jkT!-ENkZyHbiq}FH>#&z1Hu`*YjVZYYZ7CBnQVc z_2mULK8fs(YAji6WXvDpvjZ?%Eh^r~yFr}b zZ9Ol?R^TXR`-n|?sHt}@KxT?IxVrkl$4>$>;1zQk4De#69)*7H-= ztc}FH)|##`j>xRQnbu*AMaxbcsNnYv(yU&$Kc@>miX&Crm_JxC#_iDeoUCxKWrnPu zp>WH5=u$A=Y$$F|qO)_t$z4c!D%<~JY0 zQHDQ`N%3BP#s@B&M$&bXC92%+EwYMEEAGM9(alYZ_-VeiDL25C{PHoQ65PPb>ZYqi zL-LHRwaPbio-qUSuk#r?uKj#h51=Z(`M)TxLbuDYD7R>gm*f=ek8=bUr_%)2B3J-E zvme(s_S$7nr0%M)>GF_c!68}$Q!igH9<5$L34(vh-cG5+m)OzpD&^#bZn@wg@?<{L z(!+PfGsE*37*6npaqvlo+lG8a<+A8rjisAxv}F=~ys{M&bA^?T zgsM8bWh@IwnN~rhZS)l-3uPBE2DtCi;a~Z;vRjdF@!Zj0PgB(I!(29&`R*fsbngZ! zix)9YI!_k+?cfU2yg;>bfr(RwLF0vnfmyt5OTPpv5EyC_a<6Iot#j~M@0FT!TDp@R8D+3WBQf$iBYNv_!uisJn*0qCa*hPQ8 z-x7&gaDDj&1q|2-I5Lo&wOuuj4haeieN2_W-+a+&bM~c^NI=@wz(eA9L)HnT1!)_p z_(Zya2sQopsbu2iK0&z@vx}H7rnzrs#_kBs7laX^9*tIv=6pZxxR@}Sw3IW2MgmbH zO>aZhWS=dhA(}Vo{DwdF8FMJo?PGYa2si*I2nNeS6!RO-z=LvG+N*kd`s|VCPPnSu zTP$7?{7FQ)ek>k+cPxeDJeKO*y8@Q|Ru{{7p%mN2?yr z)0r!ZjxO$sBAd442vI1is5?>IHng6NEFsZai=OVLbu)D4eAT5nh#w4|b5>&dDU7{K zQ&i53q~7?uq1CFhOgmJAQr|<{Pz9kcx0pz%l$M8VV54ly7Za3RNshEqAnL@8(_R4% z`V?zc?A9xvWL+?f#anfM2=;qsDgY_<0~$AQvzZ41WgT``FB zYBJD2E=4>*5eJc4)iB5Ey-2~tZ{JKwauNLPwz9n5ySXfddxnE5EhK`owiibp5spkt zsLBT@hC_VY0y(dsoymHK`maWkAJI*<5#0yrC=mz{2>zt+AQD`~Ycmu00^p};1Zd>E z2#k3s?jRE=&=qWN54N`iz(6K;KwF5@e~z8ZAW#s{2@C^aatH`;0G;i@02Y7)6yyXp z2id~_wqS_86VMd|2AEkno7e-)p(d73pKx%&Z{q>NOu!CL*T69Mr}6y%k2~SEAoc)L zXIon*AP;;H=hGlK7@W;t!#LU5+5Zo-|9vPod??5N9?AhUg+gFfASeK23v#eBv4=VR zA7Ffc6SjxD@wa7exan|Nk2PL=WzQ3&{T8G5_CwJ;Aa6Pa*>Ue~|u@hyS=lTz~^$0kQyL zV3;ikXby&g%wQmMfT=ss6$*yI;H=<>5GdFZ9tB%~2^b16H-UkG4p4}>vl$F75`Y=R z90YWB0=R%dt{|urfYAjFtE+vS~e?f9`{sWR9PLQ1o4hcU1LP6&CAhUmiK8>?;f`Q@ZKvRh6lOcF!;kl-V zC(0B6u?4%p6K4Z=2%dgtD4flIGa~R0BLYvnpMom@JIpq5e{}Z2e=VVxY~H(spR1R!assMY1i2Sj$;CVrws&v2f@h!3h%5IV36&<1oxyC zdlM&^v(1xVPwfc|m(^2UIQ_>42m4>1z!9G$&B+er}I&3d9{? z2Nww(#Tjb*PuV=B_9+ae_Fx;J1;`ZoS136CRV;tQ@xbBu`QR+M;Zwn1x;BH@LZAS5 zcpM?FK&Xkk9Rw~*Cjh+8oxp!lglimZXKDiHN)G@(W!J44myE}2;Y z{)Y?Pa2Gh?y652qa_~Im$Hew&TC@N|onUZ5!mIIrYtb5FWe>Ltwzv5==Kr9|2gl?U zfMfCjIpA}~-%SKwgYX@xAaF&&#SL$r3=k_2Tp|BMlm95Be^KV-|63eS3WNv$-|+lE z4nE*h+XS1zy|e=V3)~GJOS31B?P33@*Z;BvzaIoNfveOO@b5PDcS8A}pr6Do0Oa6@ z3jz$X06;7NR`5Orm)QSM+&>y0Je{sjDmAeKz~>4}E7;!#{=psIvUykq;Nj+F2XZ{s zC=nRIp?5Fnibn0ql0-t*RnZ>_q-_-I{Wz<=?=Z|7wZVZK3PR>vl&{L0ns(xE|BmL(@^LNDlk_%sFo^#|_jQ#Z8-xxwId4T1h+ z2Ka}<+yNZC{}2ENoEj%DCN3@l0s>X|Gx$#g1SI6&O#>y&`YsHxUCrqra^EpL3oRY- z>-hqYLk%w<1HXV9v9}@ApHdTJ6CL4OAux#!*15~rOZAm2)sczo>r`85*M#SpYmU0q zMb73Q^qlXKAfw4W&pc+*rsk3S9kU48r}&WQIM_5qOx@&qAdu);bl-HTXH#;n|H0>c zXS_t`!@HJ;9nHE$9gwS@WtCykVTF=S)mJAANPaoEB1_fI=!;A0Ax=?ll9Cqh)vSlz zyl2#^4rI@+`Zau=q>`xSW<`EQd6lyDhYh=$0WG5~85ie41sipkvEeM4=BE*t70GWp z46`#9w}O5CM<4Ecsiq$ckub$7lbwtT+GYwQni_m_=6pxwUliM<8a%REdk9VrvtD6LsAYTQv zHw<$ZRDe1E4oCC$!BFr;Y=0CaNUpY)s)G)8(B_9l)J28r2gYJ}eP;A+72hdEc|(VE znJy1^d1vw0MxA+nbxr;Nsi%|bcdpCcyq(_a=Ba_ae6EI~`g*C^Qlc>HY}e7cg5>^> z{e7GTMJi+k0>%}E!d=dLx5br>e{SYZOdB*9|5PVBcZatfltz~qjaRBAZ{|$wUPT&e zVDstDlNWkx?lEg9FBFG+Z%x?~^XsTa#anmck}zC&=P48nvVt^ilWjV6W=rljNraL( zt}s`nxT1RatEf%}j!h|4%kQmi)d$AIxhHjM>5apv-=oswfA1^a;SDCM_B)^POt2%z z)Mps81)A&%EqN{yBv=+~sG1Y)8Wcd&?^{eMtS6SpXF$zA!}@1_N3QhAF7eB4 zWB;Dhm#=me&{4+nXnwC5EEkja88b>z%BlE23f1xSgm7kmx))l*US)^MpjAuOU%_9B z5j!{z-{Wr6Fmn3WI$`Ts~&zdw!Ai=$jNu9N|Pa6z+?9EgN$DiTZOI&|$uZjRJ&3&`V7@a}?7@rtuYTl+YGA=r6~i^%)D|km>6jjVFy5hYv6Yn`$b`tqOq4-`;qEyJ@aPW%(}L;oIN6-x#{>bY@sRm;K;*o?oOV zhjp{Y;d)v(sLVJ&<=jl~To@B|uvHI*P7iw=?KW zjfvcpWy&121QT6xhv`Mse&4{>GJ8)lPrcnTH>=~q`__(>;)bOCHomUBBFc9*^8_8$ zGZmU(X#2}o8C2k)j1Nx9nP0CHkl`;VMBd&Y=##sA_3F`Vq7pmLNyR0XynAt*Q_SfY_f=JgC-)zXeoQm6_xH^ST1Ms< zjC*S(EEQXypXC_k6Yu7H;*T0fEXzpxGWSz`u$rnA^RyYrKg!;C>YrbyN>W=4_GN)*L}@ej6ynU+UKt)af^LmvYwM+Cy@GC^G(=*aS&hNBU5OpvK* zfOLq_vtY@a(PRr0g>tY=-p$0pcSwBw`Z*! z>iQ+Sd|F$J9gCIu7r5%5it0-Wg8Mz1yvQ%l|1X})5j$BCSz;&kPRCL%P&76Gl< zW*H1KJ->QYQ0eSO3}iFV%N+=-8=6iMOjw0Os0|aQFHZKZKDaty4Wmq+O=P|KzUwq4 z{;Zkj0GW|(tk^kl`;QoT-KDj9QIY5F+&Z-w#i~F@3ML^`0 zFMSrX{)+5Y-B0$?Tf*g&_LH@$Mga+$`>iiQhKM_|1s=bti#|J%W#l z-n;Qk*EUFWTT~yGWH7p9^{w|tWu7hv6BT=*R(cMR7g?P55F|i zFB)$)mFG0fgzk8%B*rCOaU{M)nQ!4+r_RhFBJsHgD)tY*j} z`v={9&0<>K!87Oz-uWErV2#tFtCye#UptY!%y&8<8FV|;d4E?+px$Gxt!eiuv1#g< zf_vi6FM<@v3;yMr%CtJ_GqcM`xfi;IdbKB*v)Gx2GqJh#B6)34bw<)!Wk>XVssc<{ z55>9jFb}PbVM(7V@Nem7ENz7Iy2b6c433L}|yr_AntmQ_s!(=H2 zstW+JhAF+MbHTukkDVH}wV%2>TXxKRZ+_edky+sc*%k z^FeoFXArH1`S_57t#r!j(VsNU*Wqi8inBBBg_WIu@uF+4sPB0OOQoIdmrc3oIfT`8 z9wjaNVMp>H4;f{$GXcesqp$~}hkC7F?CTic8J|v*Q_07nq3L@Js^;Opj>1@{kv(vAw}P2NC2wn765Mh932h&PcSYJMmgpq7NjV zGg$)2(Gu~3OrpvX*m>cb07`nao20;0hDu*55_&TZz*3JqHb#?+SqkMN)FUjgZQwhv zvNON48EK+8Tl6{~4$kMGr5HZ3bB;R=W%z6(WtRf` zqf4tm)m!vFufW0GRW7Af=`6KMJ*=d++NX=L%%$L$@^}#`T)_6lp*Ym77hmqU4QY2D zN9tcaxJ@!0K`rUHcLjJius);jv7=%aZLHMit26_#G2=V$-*6*d;DicuxaMZbDUn5;hj_RZ|t#6v{Mz$SmX)p<0C%YV=_aj+rlormCK-9}=ISPkp< z`Vz}G{)#>xKOw zg7IH7H?NlU2BKr2tj;cLiCx)FR$t$|e{Z;7(6#ZyzPSk|{qeom_SVGKf#Xk>TJ|4z z`oxjmqc3DHT9LI|IVzHz()JzaVdoF^AuCui9l(SV2rsvrl`26qR!)I1R3m;dJ5g6T z8BxZym)e+47DiHlW7a?V@q?w#`Y!1thE7w#jhaG`v!P)%9&Vbj*GGM`UMEVaKcq=7 z6wESN_rT*s{1(#jmSbu)=eb0e*mdQHOeB3y4>}_G9-K*s`OP8z_7&cblD5yhnmivR zV@_WWGqb-Q@y*&mq{g&$eIQ)T*o7URE#eKBi4-c2-o}elKU3y00>KZZOLxW#e*!EU(9=8By4}kx9hDc_4pRpd_opY8mb0Lw z8Iiam?ZJL;_*I6V^&B?_^=;Y&r(V&_28B8MjAfZ1l-WMS_zz09QMDxa#|ZkOQ4{W`^x4X=(>-4;InaezR z=Fi#l<_Avlt9NU%p3GjmT!lQO*<~(vK7JI5v{;H`cvFmVmWSPz?e9!u5m{vp%}8o1 zmp^c|5(kYshS+zCPbQn-9^IOAqEPC$^ko?QVGm<7OM7njLL}W~RIO<7F~bZvRy|nb z0yxLvdRe$tobi0wx#++)zi5*Gp+P2Z3EK`!D?W90&zzKE_8hS$;=n7EwC2z!BK5s( zfd@m%-ELS?KGr`B(YL`{OPqXLi0T};2* zFdRBZ)O2RI?ES+1OAtp;EIa8(XawO;`dE+0bPZNi?Srbmh*q!~0iw3c9EN{a3Wd1P zS6ZC}Q3|66p6*-E-8AoJDx`Lpq@Ckp>EMjZ5>WE8C?wCfN#BBH&QbQ&Jnz&t^E6Kn zVw(@gBIZ_vo?UwW9IW)awkQ|~Y0`9f*EoPV7oE?)nPJ}`$hYd)Ttq75UB4riUvq5! zlkKJ3Xl|NE#ddg}zL0ZzW-9p)BW~ExeJfJe20QONy<`p~{_5aVPG-SUfhxju!2NGEO6!V?xsLHn&daAPInf) zU?5Xl!;<{Dmmud2iXbN|DbAjh?4sr&^JUShj;@VZevl~#_HM2J@OXI{Rngl)r610C z9z)yP;~r+YK}PR!edQ|EQAOCrcO7A?n#PymLm%>q8umij%)La`R$srqS7mJX8*xsM z8wyUDI6-=RF*Hg1_CsTd*05YEGtal6&3BqqMIx|F7X=cW&s%M>IA0p=JO|&9-0mv> zM3!Wcu}OJ}FVFZ*ZoIkhxAB*m_7i>Ev(RE!Y?#6>^>?MP%9ZwwPE$py3HwqFo^|!^ zNq+hvYp1n_i|ouiaxOK`aO{@U*IeeW2Tp;GQ+SYxfwx}0;}{CA9X%rjpN95c6kX|e z_e%)8v>2$XjH`KISGnhK)MC*Ha4e@WSOwmnv>EBq<$3g1ktuJD<|g3mu8GEnRdtc% z4#tk?liRDUtPN^RFL`vI)0`TLjN02u4t~Y+A0X_Tb_qC&KH3F~uoFkGvvJiP4c;?j%~dseI}ufCJG2Dz^?BENP% zLo!74E;Y3w91_GKo}=}8%L;$Ef2ksCh3^(gsYnU2pEN{3@&xW_2pV+C>b%BME7^_? z43sE`&tw~%{aSW|@9qz$@0S!YYM}?h%@K4=m_=I`FZ}mz55LUr^-%gW(L)cB%DU$_ zzmKBo5d{p*XfX^&C?pYNtnYpeyxsAY7N>K~QQG_cLR-(CFp#>0srhr|wJw3a3vPq` zkib?!q#S11A@hYE7xV1S*+cMpv*bIR#cX{YE^ujEO-tQPw}AxS~8&#K*y7PQ4C`SuCQE~?+~ z9f9SW_di&x273s{s9v+p^3I6kDJ>hfRkb+xK|~jqHC5mQ9_-)Vw0JCi!C|?p(9{Ra z=XG&s*0KoYfBvuQdF%SUC6Q;lFkO1);$u*>{OaORiv(pa)x^&5NEOTTm4oCEB*NNWHQ+<2UUg&P>C(ae4*^^Xy zhx7ln>-*D3U0+_7(%||D)(?Fw(mA)u6ICE1lg^$^UE!aE`i0U9!#KQRFud4$93Z|V z4=-Hu66`u?+fi=cz8zlTJKhzWpTkO^*@f#pd)Ml~7n{mI)@Vsrv~^V<*ynRy-HTU( zMLmoQi%!oCwlfaWQhUURbKg-O?{TMOtBpG6EgwBFs8&Za4=$pH%rTTld-nBbbS!M! zf={+sq^FDzGM`!6kx5GEC4+84eppR-RXb}UW!+ZuT+w+&beDQZcM&@9trUa^>deQ? ztYqA|_$mC@PPLg+*XRmO7MXp?npHRWcc3}4NA@)2Ubki_H0`_REHp{f-_wb9vWsQL zoz1MPs-ffcLOtVGALLF>|LfOYy*i6?Wo;XQ;iSy7A~XWr^z_`NFCf+k#;&a{kSy&r zCuXZ2^8PSe(U%03(}Aa^CHZ3G)_$m~0&>bRd!R*K)eNDq@)Cy%4rw%byYg+ya&>+L zH*5=RLOQnEG>9B|@u)nN@NDtCxABy&;4eK1CcQ)MirrRBvZ|5A+YhPR8Kd zTGZ0w(`$&G5CU+PWqWIX#&`IMNeAzu+vv*+ql_b#g2ks*%@;{1vkjE;@0{)r1(a}~ z_ln1kp7=72W?tk}#5G=HAzH@@n#_?D$`Hg5fI>{Bi|d&8Hx1btRF#t6t2Bdeu<>%p zYYiJ$zW;&vKn)c-sE?CtmcqJg(Q)>kE@O`(;2rX8N0RkspuhydX&>K+>s7Ak zwM_AO!)HtnB3>#gi-d$gK=&q^PlN@~whf=G4i=8`eMcor>`%`yOv8waVZt$3c@teI zv3CWoyDjgTvX%BxMa3muwTlf*gLuL(q@S5L(U7q2IQ?Q22E`Hg;<3?Y5UkZV{g<`} z86Yr>+<{R%Rr03#w_G<=Ma|%W)8sNht76|U^9E+ggqd%*>U3736Bl&SmRry?YjNO` zAP~7`WEro#biy)PnA%`y-2%gSVCeS@eP^nbiY|B$KG}saIr*%+_)dJnd@t|}n_yt$ zPE=Hf5^ezr6|#X@ZNYPkBcSZ&O?ag%-<$CA=UVlyxUiRzW{E~kzvWts6T>bX*iAMA zrWax?U*W)s?vcXD*Xu%m0VZCO8Ya=eWU>V?tq*kH?j9sYs_ZsLy#w_68otATN4{e? z#RI3w(#N;imKqpk(7a&J#+}rE1CcDDd!awF@!i#bIy1&y8R3kmJ)RFUtDL8e4-j^T zeUd3{p^-_AwFEcV-95}W4(Hz16!p|wiUN?}3X$CkZH1%v>=m`=;C>z~WPVSMs|yD- z4z$5E6@qNqnXdx2Sa%Wvg8#v#~QPOltVeT=vjttlDg@{ z`sc;ZwayqBJ={?JQ(w;{NJ23J4tA-bi?@b9e|dzRm^Z~}Q*)MQs4z1W*pGF-rA19LMhw>3@0;5#bpF5@t00Cp+IMPbgyz$9 zXG(62coUWonJs!Fh{_8wuI=bpqKIISL++O*f3S|Bm28@A0>0+W{Cq5_x^14}{L##< z*CnI3PzpVRQi1w$Cn#K9G&4WTu4B5-3nYz{XR|K2yutN)e2bR#FN^s^29 zksjzl?i;zp4^rqKa`5XS5T5AT*O=#<1UuCh1A1Q|=nI58e%ALRln5s!7$vZ!)d-&@ zkfta>>R2*UAl3!UeHDh--Lvmg{e7U{2ZJO|&G)hChST>$T8`V8tI3b2MTV}1x=0ca zMG{lQ8%D#Ez39ae^aveB*O&39ePP9J?BZth(`lhV7fOdR5hpTmre#81CYG8U^JO~! zQje$?g=oDz4h;n;gVy5gA(cR(Lp4$aSB)+b4@LB=UH`p%^S#KLs3yT@x{PPaBtsc} zDYGx0nSbM(9#zbwik1D1|)|B-2vqO(`@yeXfKSxiC*oL?_=#G2fYtr6;45 zm=f{oKly~u9qQ3$WK@IGL!$?jd)&4yF9Q=9E3zv@s`r0_JFsMMYniPX-)bMba^LJ# z%XgS{(P4ztyR4wpx;cs|1%ess+IJ;RLK?Bf8WLgUwFih;T_KT<&@X9A<5whjIe^bN-)D;WtVev0Cgb5(I1**;GGcwyE`Fab%Uj+~WkzBd)o z@iANDy0*i}4$*?dZt_R#q>9s#<7Mlhj~q85ABk#QQ}k4n$E8{OT_?2Nrd|EwCt@bk z4+IR%wO$)zDMNP9AnuPw) zHJ#EQN{sbDALxGRJB9{^$b?f$u^c)#BrZn7ZnHB)0X9cy<@I0RGpySeJO?7HV4o6F z;5CFb%90izMP#!{+XvcIpXjckjaLl8d%#{5Uu&X%$TMMGiM4A!TE3|}vIWeB^x;Z< z-5f!3_MEdCgLV>2TLHd2av4p6X+PK5v6JVgwqk7Dy}XuJ4|K7G6r$q;ATL=@3M*JW zsC)aUAa0*?-03*cQyvmng~kuMsg6~lsgp=r0xb*srsPYyb*w?&RuBuVb6sWhPWffX z);Q>LKD&0fMLl`Lgl?})^YuP~%6Y=g%ckMrW=nd6Y4>-yKt~H2b#eKJ~9&qHA*+~bx zVA$=P&!-THb2~}{K`03@`6mfLw@>PxC99_`z34f>zih2LtT8$<`@Wmn+E+mgs^Te) zc7gv!9qkz60c1D?W;fkE=S#U zf-sP%6TTzme6`A<<3f|;eXN?igE$oWcD#D{xmT~~K5mSrgSK$WpyzDu>_IFkH0Fx4 z!(eb-JIx^pzQX$6Ye$&dN~nU^-dikjqj}Rk(Zp;B%UHJ+@=aZ}hetjxEwt5P=(Y1U zOlHQC54JZF=HSEkw<9j7>iMOULQB;vhln0H?!eIms0c6Z3e5dXdrx&==70XH3r*b# zsG?xMU`7koJ)y1#l4R!tWMqbizr}T?ZR-&F%u~Wr^8=~!UO_OcK3&tVaiPMudd;$q zynf({Mg@-dvFqPAYen(xti}biP(>nsPj4k0t!#0~^7$I;be(Nv4*2dV%(O;%pAmvb z9V~&HBvRO%<+|Ed`<)pf2=V8Px{AaUaX~tC{hfTs=Vl33()-m^(cqTeb@!^?JY9}g z74Vt)m}%+lt<}MW8lk;7J$>v_Uvr!FUS=IPAWRk}C{ zXaw<*GTJ4rsfQ_n^oT08sk;54(C6=HUv}b^y40o@xU2F4qF~!jxcRfv)EopjFvnNH zoYA&BNze+RKBz04HXF631#WZ97}Y=e1M61d2-zIe86!gpbMm|bUYVkSugzfwsMT6_AD z3i??JgPU4svs4@`|IVWat&D~p^#kDhA64^Koy9)=!jPnQ-qnz_x@GNB)67Jj^0w*L zIkqaF!1m_TrK#%|uiLMzuhO>oE}68=gJx;IB8G)^Iv?Jwk`QdI*JL6K%nw>L^v*}a zA^k6{FzfZC_3hRP^!w`Gdb8Mpey&UF+samtV(AQ>f)c=2>k9S?zn_e?X}g}bzV*Rh zq4iO_)c9a*yk~yt_wp%BuUCzL^%c$5+UC0*(ZjJbNTCAG%q{d)gZ) z{`eiz;XZ2_v{_sG?qt)?YD>^2KF(7yI;f0be>Kk#eG5n!fkgScj?dW4m3TkVUr6ye z3DuODI$p6l;+kNXNRycm?0Do7GRk-r*g55zPYDtW=?hJ=3SxU57#Di5@|}Ey+v`*6 zU9>Sa#tf=>-`v(9K?kOagxDpk(9T=7^TddQy1j@JmVb)tzsNJzkmKSmTdS?EYRGjJ zTU`H?@lbkQWDo;%Mc!mYJX92|VpEY4|Jv+39i|X}O5oID)32zNR;EzJ>JGL){K+AnDzCtJJP4ZWsMCZ#Rbv8b$$PK4anlf#GhS z@;%gl$W63Mi;T#^=2>a%d4Qfv)Ca947cHd9ltD7pLJ57#Fa+DiCQw+p-prE<)m-q~RCT8;1F7ifMs-W@P*3n<#*v=U3 z3~24(!}}2(=Jwhgs;aOBtc(zqkf`YH-d5YKb#F(W ze)?3M)>u*W{mzz`()DnT(&mJBq=z(u*oKX~uQ)!RSrme3?}TW!%z8eKS3Vtvb)s1( z5T&X!j@`#YWkD#m^q<(!ShrM?i%VHvp93==2E#AalS8l#dF+M$T|&8}^!^!PAd6N$ zgZ%%@fE+SKzb;uIgi#yi+{p?KWp~kcC|kE!yVm;SxN-f?M`e83AGmwmX8y`!c$`J_ zIYE`=h?mu)9Fr%4MW1Ns#jO3(a?STx`}YECcdj~W&cAGlmF!V3qan)1oPWf@@nq~g zBKL9`UIZ5O@^MEH*k6xaUxS;DRdC?MM~{0j-!kGP-->R81xhzXjL!pftlJ}QPz*+H zZY+z3AV1i*1q&bP-cO%al#4TVyu&oET2GCdh5k@^uhLP>s-S25F-4xJg+sn zvMkZDA0F!=qV)$FrtOP#MW9{7b=DNrEHy1A7B5$W)9UuPFHe9Fh`9m-l)QCZtfc1~ z@(+4YEHMT2&t3E*Z7B)S+?O@u3s>`)ZLvKF6vb!XbmjFhBUt)^la)YDDXaQXUF0KL z;usAo;Eg$pu@F|`4JcM99QlSo$icH>Ep!&Z&(&{!y~mKqo17jw+L?s$E`!-?!L?+J z#udv~t+tiOgkJCTWb-NHp5VL@y)48lflp8)r8iQ_;}#7#*m`+mNZr&89sOc;O&Zwe zLq)aA_%#fS3}xW+9b}*kN6Kg{t1aAoYrC%?a$$p4TXx-zog_AIdso!yyvg3g3vwhE zcSsHGd__K5O%3M8z-^?Cyf8M@-WBy^go5YDW7l^Lxqn3-kL5LHMeia!PSUN$ZD3reI}wi@p$_NN-lV)IGuDrTnXuT6g9&LgA@$}n<_%LnRvadYd7iwX4z4R6 z{7olAPRCPC9$k?~*Om9~vm>?m(fZyJb$m_z{BrR}`u~MdCOYy!pzADgy&E3Xd74NF zO2!;5Ijwm#ioS+I)Y6t|1G78+aGPy;O_*}~w~C|}FXlj3Z7$M;TaT|E|3 z4$|CeQ!5C~5TdB_v9xFND{C!r&f`MlH^L_g_^_>;WyuTw3I|o0>A)9TuwdkgT$)2R zcFFg+s?%TU#^6lqdC0K{33CH6bYDQO6^xaactn~6ES?QE0iWk`SqYkAT_@c zUl~c|5%=Wu>;{9axR@xusB42WAp^&Tv}gz<&ULrjDH@9Lt!_z5|EJlI{K+fA&-Zy? z%xzGewO^_J1wx5D&0&tamMZl&TS0B2VcVLJ@}y_L9N#g!M&iu`?v(+(xG5+l>1;kG z8BGJ-LJobwQ(T?*>iR2>h_<}aH0m0$6k|q?`r^=CPFAH!Yr}QPbtkT%JvtlpQbHr; z%>jH)lr;GOKfjQeVY6}E)LwYqleMk_{$=?ElFLe&_QGRZmM zNnEanaw&M07m1ptd40eRW)ct&>-t-`dRpIGt*dnp1wDi6MM1isNVTXpa#sKCCo)N~S>FEN!jmRhURi7|;s6XP56hAN||2|HqNJfLqu_ef2&)B9? z%+gbwV~2D}PmCY8#JGYxdXq8!a3O)9zbzKa4yd zdo8v_3$_Hon>x-_<2_xe`4Pp!fin%kEb#o898L@htv)?rPpPHZlM&GKnBLN-S_Q%i z5ulu<(I1(3LLbSJbUkQqqLZIJNGNT5H`@fEXPTq#`U7};~ z82nDq@=f*5;{DazE*gpPVagUYdtT$#2*Dvp?tEKg3()K*X<)G8W-QLtQOP6hBxp&D zNZO@7ipa;k3$^uv$mcu3d*VI7#7^SVKV!M6paHMN9E4rBuLhHuKER@s9GyEzhH_&* zpz=~I|t63q3op}+<84Lui!T*fp3sF*c*o9r!$tu zmsl%C56T@cwtca(?c`e_Z3RHU0ioDAhDcgnXCkVA=eZf-_Wn@e$l{m%^I6wj7v z9Oo1pl#%M$o(Lbt*W%lfLc}tmyb@i<)m70zm+u5eSZiZU)|Q`fP!hfbO8%n+POj)v zC&z$Qs9mj2YeLKRG*#QGN5!50sd(ER6exTN0w$Coy%m}p9(T=$x0p%7Oz^B@EEg*GCb;hYxb*33Cm zFlHrAr~T(+8+LU0{zvP)$ic>YV~fQhB4*sx1Y||a$xrpWUA(w%v3|tn5D_ZydI4e0 zr($(*!$o2Yp{Eg~pvEt*dL2*W&<`S)ljJF@Z|6Y_4`AXhFMrN4Cip8v)+ z27otTfAz{{;Hc&5e?0w{2m}XPFCtAaP4nz2)go3|pwf z*1Fpsa@xo3pEk$E+O3N#qU=Gnv$@i6Qp3zSZUmPTJ z&!+B9w)m{E*;ZBPR`70?E1lPY);iT5A8~-tW1P}_jjIHo7cv5rImu~7)#oDQ#f6B> zMaAd53+@eDQbvhutfEgGUAv)w)R%GQP+ct!UmWB6iYdMH)0ce_WM+a9*XLZ-PxNKt z2x171vf0=Z{7HMqmhXU#q6|=@CBs9M4IL+^Pf;$Y$dFi0*Lg7g=+lAT@f3w|-yG!{&RarlV?m)C6l;mm%=q>4 z(hy|m!L&@XSkrw=OR9OT(VUq#MoFVH0e8SXi$#g1{MOfqZ&RHu`fV4grDKv!36A>!!tp9UVs>d71X|EF(PY3hiNs)Cp*2vpw|ov_4aVgA^j zqM-*?dywMHz4M{sjEbNrOP}Vka8(bbg%d!eT3J5LR=yT;W+B;9M{NYhc+z1AyQde1T~)0|pJQ+j_gDBz`=8j%BD>PO(CR`AS-z zDGe2h1Gugp5776n*hZS|6iC#avmMcCpnQoAT@SFl%zCX6nJk@DZq7W`%;PCUO3yr5 zKK>r9(6soOaY%&czs3cuAkQi-H|Pgrc^fc~#A0*cHJsHn3((C$CpVI3ACJz}wLA+{ zmKa_(s%_*o*u9fnO^(x_|0{V;>rQK8sP{tjw4`x}a(U2iyIL|-i>}E_HPp=XwsM&c zuacZC%x)=e+zr`{C0(~K>Dq0#k@Ex#geZc#;G~7v4mMFHEw#z!UokB*w2dO$R*;{z zmPACzGsc9{APib2ynpg_%!_bSORx@cE0~j{ktDWtol$-}W^)2eGT~2fQcHTmbxwz` z$@eLnqcEG29k&#{cKn)gWe~X^(O>AumUyOA@1_O3)&JGI23%S8u>wi~AvP~STm#@{ z9^^JZ+%@k2k22~x)^mk%IEN)1sJn;{U4&Sd`0h2tl?|7&^If| zY=nJd#MWE}viJYuB}$>2?=NL05Uj=~8JlHqJ9kOSlgYDB9kqvo>pHJ*c$loeIZZg? zq8E%DLOFye*u0}ZEKVv(TXM?x3=dFso3%;|=#th7(pXecob843`%bOG@@iaMqYVSA)C3&=a}v)bpBjFi2Ne z?1^p`14QVucx?9hgC67OXS#1!I2&eMe5tMa9&YLCWeY$r*7N2l-fxmQh+6M-(hWBw zvi4(7xMzpnunY>N^XLxZfIYGRzmfTT4fG7tkzwr6<&7E4<&mHMhw|KSj)bSYIS$LA zqAbUN<@vN;;nes27IZoYARNUljW`V<2QE{_)6Py)Buu6vTphnoQ#+JS$j4hta&R#_ zPu67m58PFjYNr8A#81j3iTlJJPrREQBprsa;%q%g!80vyR<+r5=RU9CLrXtMDAOyV z^-?lm!muvmvkH;2?VtVjkACvofA+J#^?N*Tw9D6yzNhkPfPE;rn{nLGfloD!cpeiH zLIjP`1Z^LVmg@&@=%Avk6DQDKIN7X zAzzHa%5cK`T=FAmiAMFAr4exLzx&+IT1NCq6D81GG2vmIj_DF|*d z!8p}HM3O}~Yd_t-8LK!!DZXUPkK5`&d6L{m_D_HF55D}zzx$Ve@Za+}UpKW-1g(^T zdCZEPsx$ju{0j;J$=D0jz~72V09UJMYf6I9zAbiGIMn4}TmFMj;p zpZxRx>SurFS8bo+s1{FVNVTYr$=%D1fQ%76oS9VnQ-J}4O@}M7$oBYNUkOz$xpy$G zba=ne+2wF#8zMiAoK@R&xyAHsVwlb4<%v1L?Jxhu-~H)t{Na~>>(^}G)vpZ@tTm)F z@k4mHi+U={b8O4lbu2a9zc^AXK531;zT{_gv=k3;-EEqFj(KMP^uPGEpZwlG``NGm zmrR>$mf@tg8_XMRggWU{-->CCPBR+w}1M zAM$|M2o_bDJs3%OiPR^SiBAY+Tg~nC`c=B@=*kNzKflhzR!uq~c=^>9(y7Ojd0htIU8;KBM$)$uXT0 zrheUR`GAN8i-o}83tlkLH`lmnm#I@yd(@M0^C{~d`}xvZ`GdTvRpl}f2gh@$1;=7! z6*LP$`oA5Y37uqdlynxMSTl)cCL-bsZKY>HV5$}RgbFRKCm7&I?Uuc`;@p(a)2d!W z+!hDfn8KhZxU{W2vf}K=kFhFQp^mQ06O|(p(T`TV;;8ttP|0)%U3Cz!CMq>T)% zXiy=AJ_2QJ`_vHV=+&S`B=e&YV_)zgVjlg+s_Blrw{ebjII^#o09Lf*Jg*0gdO^=% zR?!E(h2mt)7s!0yR+|mh7cNwne!oVE>a`-2-fYa_2=Fe!r0TeF6SYoEu(q zWPIOxoyL>=ufE! z*7`3kbu|MfigoJ&KQ#pTcGs$dU0A7(RR}ez^H!b2f?5$32zN1t2&<@);Be#Th6Ql* z38sIW6?`g_BZNJ{Nu>i7R_+9CIUIbUQL}u{xn#}a^7_c|G-6S4Vy@~)ms*F4O&Ssb zH)9A9)D~ABHe8bvX@bl=0Gy(Fd0tQb#oGOktDOlkj+ZSrtQ!e9vBpyLCfLpC=(WO1 z#gpOr!M^Rb>n#t`hr=CT(1|rr8f%Vb5aSc?zQR-;ER6EfWV*>SYyAU_Arhvqfjy@<@eIV6>^<>CNuC`B z`ooA5nTh?&7MmDf7kVAN8EY9{-O!YPn6(-$bc#3cjp);yns_ok3sd7r_J%#`X$l5F zKDQ^CQU*Grn5)0jF_3bvuNyawBi}Zu<)$F@f-m2ng=uJl<6l@JA9XfhTBr-3mF!@` zz;tWejK=#B=W-I;2Ksaga1SMSzHIc>kUZBOy4}q8&(d6l&#b1?CLb@VD0Fp;qSfzw z?bWNYlLl#*@O1|n2SOw6+`8I!8zRkAOio?!F?&yQ0W`+rCyo0Jdjo|Uc`ydgSm zB`xK)XA=t>@h8GeTNLtiAnvB>x!lw$CvqI<6h9Ciq5eH&IIoMW>1pN_q2?)*M3{uy z$w_UfM>N-!@eL!Jwq6sa7%?Zd2y|X?cw?u9D^rNxYTDtN-TbU%g^3p4wjL zP@V_FftU+cOlY5#lES35FG?PHE>Aluwh>hiFMaD%SY^ty`wEJ@xMQG`hl<`On{^#I zPF=GoZ2;7nnE|ibXos<8iRZV7A>s2u!Gs(0QFWQ2d*?&TjG3Qot&`=Pn&(R5Sho`s z&m@jO&lQZ_NGHRC>~|tg*@oxOa!Xk}j3q~0+aB_)gR-=z9cG!icjqRNovxTCo;GV- z_)p6vgS&)zKcdz9?-8#|(9+)jP_oZ0Hv}>^^Il1|x}&9thLFosN}YG7^TCSvtpusK zcU~w7`!*&TyTT&eW3>>g+&)4dYSb~ep5AfAoA!8UPs-@z72U&%4w7L>JP0hZ#rAvQ zof9*RX!Vda$~r2p#^*{3wqLS3QsHIIyY4=JWcb4~ZHevzj~OCX8s?!k~z z$k>k6Hs9trfgUjK$Lw;-I{Ifd-BSnd`{td{P;2O^&?JZ)INXkvq%)Ar+lw7w>C~h7 zhxU*{=N$gDI#th=_996NbIcxag6t24m>?HR`X1v?S2^k8uEzA> z1fJhx=`3;%n%ESX5|HTCBCi(-5mNZ=NFvXg!Hm z1@i?yL2oa1RoN_$pUdo+kr-%J^#8ZYY+LQ0E1KRhb%7tO_F27u|4%KPW2g7u+dR)3 z1Oh?7GH+*R902O3FrnUQC6(s}h}vs`H-5+@2y$Va#8X?!xF;U+r>9&{;;t%)r~IRp z7Ql7t!P`|HObbKa<}p+fT9v+uSBz&3_jw4HN}xN4W_nfDo0dhZm4RieF0(~7D+b{Y zCmZw~>!kME+kqR$!N)P&?J+GCZZZg?809HfXHpV%*9!ctef20e-WAtLSubAw=#!Un zzdV!m#Wy)c+!u4DICkiH)T{v@vS z#qG(K(~P(p-O~30XO^@j>B(+0*^1|uOQUxh#M2xtLks&1E3>T7fdXrt~PjJqKp)<>? zlD<6fo<=J50?$k5xl^JKjE5Kk7!4TttAG8;Vp21+YzLHYV|(hqA7FZK)-_e_<&@3D zi-mFwbxp(3qPtFH{4=Sp&HeiXYLg+0CeeE0IFhnRmriBB;I8Cg9%x*z4GFP53|v7F z#7?AFvK3!@X0ohHi@nBGh@99n8OOOYmv)GBfB@}|36F>BnTFaCQc}?@xPTF;);1~_ zHe?*9+QE^U;7u|kM(HvGq0WL3g$eedtky}oxFNkdp;H+Gt$`gPG$qx`l*h$_U!&=; zBYt5Z47?;Y&WB>AxEXxLQ77W@1@@^wqzI?q*;P(#85p8pOL6RL$fkWdAA%6%IMqr% zpG#f@HO{UtFuuMWLnZJ`E^sS(Ze+L?94Qa|ny))zX?b?RNhbpF4RUp}q7+pB(RYwc2PAqZG-v1$ekSSH1n2>;%G}Lm1#r9fobu@g9 z_^p{teQ$IGI}@93vThAcXkDx3{SO(Y>}o0lN~249Gy?W+5B{4~O)z&ZDT3BgXKf5w zpC7NU;4IJUxC+oXVxJLO8?t!S7xyM5%L6k@51jnrtAi{pW-EBG-a&^yE51;$Nv4%= zbOZa|eKs}(EOcU6Mf$CvIc@TF)iW51>A!rIZ>mC5ph$vu60z*Pm(+Xz2N8Mjbh~Em^H0 zmc9Spf%qm?m{ZnJG47>?jDhGR*0??LMk%=fu6*pw=c&EUioIkv z)1AU6n{KTpe?sQk3#|3zvz#W0tjWi6E(6sHb>U}hf@cfjoW@j^Pw+qAN|`P4BDK5v z13r&-dqPBxpS2y7{#hx)+|xN^_=t8M^^|KeM`Piez|iR@xPPe6!V{;8;l=%kb}%8(BU<06vn%soTtyHFq~JkNKY7dOaufDjW|Y;XGK}v5 zLS1=XD*ebtxJ^501oM3@H{z-sq;G;!&d^L6dwc%Qu-HgSO`80rvN8!K~!oYGJL1Yi0Caa(AMkYs>xhh%AQAM2wnU!4w53}!q&nq1Vnz$$g`(h1pG?Yq3Pw@+w|d_^)GVj$CB zty2FkoDx*E+Ng`Yyo27@fo_(32_o+jc5ISVt_p(@9gcn&B>N;Ng)F^e91wc zQbAQ;aukr z`NOe#P;?IqnQj*h!EG>!6QqMM_l)(Rc+L*WP$VJ*PHsSnqs+vtQJ?6R#9k!y0`i5U zcwZbVnn#GUdlJ7Q#^YnAdAYoeRFcjm=!0B|epgNl8#{S37IN$f~%(#fbgW(3uOR zo-k+QZx-$I5?s(8c6|s1vmOk86UXa;wjtF6DDXvv&MvlSd){A#c0*dIW$J^(-ZR9M zf&K~=Cy=Lx~0c z9A(I)ux#R-GMd*(L}2=-3Pni8&yQm&H}uBdsR=%K_SW;J#&YRbr`3_2m z3=q*#%;SCb9Fb|+jEGvDKaPWpJi{mQ2kY=1(1!C0=?F|KL{A!wjWnb&h7P$G z9o)7hnRcPuel;pTkcf$T-Z@MQHiqx`c*Ls8y5uLQR zk1@VXB&(HYY5eCjWlB&QJ;&57#zLZh5|O*y77X5pth4g1sVjV{=OWfqn52cDAdMg(TU(wu26%$*lz?PkeJ9OZYH3uE`&~6;_e3m&>JvHC7N(|r^{wGz2;vm>Vr~? zbG)#KqPLK7+z=wGGg(B_$lk9$!xSVuSxQ(@Q5wn|y997{{pgP9)uy7q$!I#-n#DT6 z!~uQ6psi%a(YA~JvpN$z(P3ZqUKd0`%VZC(4(eFRCjIhP|M|~;|G(qjc6#(>hp7b} z?c1V}lV8)2HYCzKRL7&rx7F~=3aZ#Cf9mX?{ORBR$v^pHQVXA8VCIj1VtYgO%%~$) z76_lZ>c|w5o5L4>0L`HPM0i#ul(1uN|HYsF#?OB1ALs*U#y9MNn&~Y%Yb4q2t79kc z#`_M!_KLaF!P)-H-}#*{|LA)QT~4O0oN;Tv`0jzsa^k74umw8I#b5lhzx|hg@3;T* z4}Y}K;pbT$FW8Ztz3YzB&6CR3G@099{@Qnc@`K-4V3j`4N|k7sz3-qWtiJee+jRDq zzyFVZ^2gu*s$3eCbKs#!aj@jE(*E+F{P@d1{>{G%r^Dro@9wKrtB#t}&;H=QUgYGu zAJ;SP{SwUVpZ?*m|HYsFaDkEcp(a&KTeN<{z4nHyv&*n5-)N|Q90=c(BwhH_ z{wA#rOqg1g8lAV!MBI?#)j6X_g%}P9_0A6&Q9M{W`aD|$MreY2h>i!$G0tc|#$HRp zv=hO3wmsk|F(2s}KoB??vVS~LWlu8T+y#_oxCV)6Kx6+vX;*`$%@_>LlEeuwCgsC_5LszEN zaUw4UP_cYSTB!%A9K%pF(8K!HFwrMdg+t5rYz+p{r=~UagnY5J<>8j`A->4lxN7*2 zKD0E59cp~M(wSSH5;g-94GVfT;#9`?dd$O-P?l~fD2wY;t0hf?(=Zhxu+KLXnrx1PjIl=Zbbz6=nj4U9aOvN4oF(Sxlm&hQga3i~ej z9^ZQG$d{Z7zDt?7%pMu>RAkr7#@92=M;y9@c=Sj|Uj(7JXXvG@pGkM=x9HM){E-=y z2~j|qcPtpuqN@YdxGG$2Aw^FZvS#Me3ppxuIl;Zk`3ORKXKQe=(HYK@7b3B2ijjbR z)Yu=A6K=%CB~-XPNMeWtSH_cg177tv8zhyO96DyZtk#n-+sTF!pwY3k%Mp}R%XBY^ z=|QX{A?ZV26lzkC0V7nKTu0z+os|w2YBIWI4tDxPM=?>3qxaE&^z(mxA?z!iP*aYH z9VBr{w#56q$_nd=PJH6$%QW7##12y&A}m2(HVkjRLe8N!vvLK{NTQ=@y=3N<^<~DA z2wA1I?=BDruCuEc7DO_tE45_?n6^4zsww?3BXr~D&<@TC(MU;vqgrkAis8hKZ6MU- z$xZTfRs@u&kCHKb@TBlZ`cQl%8HOvtpp^tOwMsuNP8z{9C2C!(Q$_pK=qBNetRg$= z19D5^bvDgx7#5r2#Unl6j$4SzYho&tR{O{w)nobWSdNYmlU5`qR-IT6#KDyCRz8Mb zw?*+Rpe1i)GigkULzvH=tgEp!!Z!Y?n|3}blr&rV0*R~Yp@W>M|C}fT!N8U>rDNxx zo|x>$+TP#HSHtH)M)N)~%QW+jD(ff_jRIaa$w6Zn^6ap+_$iq$D~&ESY2(MSOh%R- zx2YmN?8U4E<1v0xFD;2lu)@eo41zl7T~>v-YD{?ujHv*w2uGcX#xU?#as~wUI)_5M zC5jBhfksDKhzqrj=*R3F=UHqFaVR013~%lvxss$UgZypKZJ%2ZJu5F7S&6G7J92;k z(&9K*M<#=s^1#ABTxjRm&y(O74idK7yzrzM%x7<(3mkr# zPHjez`prRB`8J23u5hhR#^ys7H0D6p)0-<-lDPji+(a1Lke4GIu>5!h6?~}{W?94Ywd` z{xeR2p2o#u^Lq}y8>9=EYW|V~lmXNW=cAZJgYVG{_{_JN2u~bd9@o`nz$A;NJ&61` zb{6r?{2`M&^SJ9d)WFGCqX#u(3Cql1#xT=pc)@%%I!>^NTjnpg5}Glb(kDUU&LGO- z*!pF~kQJ44LD z4IX`ln3-#)acv#K>3Vp@o?#FqNjN)Bj6ZMW-Fk=Wg!Kyz3a-3*qai7kC7DARDfV1v z!fWr|XNE(=P`dhYp3A#cBUU1`$9Q_47>{3$%7Rm}Ih|eqg>i`pD;8h-0)yd=XJ5a* zPZ{l6su*~Lv7|q^_6=SbSvg^1>MeW1HR?y2Ac;eN>bL6-omzH^HS;5YC<0t7Y$7L$ z-Puv)eyA@DdA*&e>3L;zpPPB^AuS;%<$ImZ#|%Z7CNmG;fx&|Ncc6n?Uz(l7_l>jV z)Y16m`NrZoW>0F;DnDkwf*Zf%0<|k9NEOrZ;9O)< zBCME0$Y(1asO}sH`GB<`z*_lUukx0qTzO!Zydyft6BB>%nO#EkhMW&52>~vo0jxk3 zCy4sY4GE6bu~1~MGa;k^JwU?05hFjhl#a3k&GCDCe0HiH)k>f|s9)Z91R;j_M}y2} zZ9|=Ss!C-V7TL6R&^3vWe>yO&vCsBCt7_aJxXLyMg1j(a6@85BEMxw6J`*-nunrZ2 zD+gY5I1mRgvLax0X@6&JAJn7DbL>bu^+Lw1tF>jMCJbDEacd?qOiHe2gQL6gfN}`4Om@vRZ`mHZzcOp^*jjeTdG$=7TK6|lN zohQKehgzelkG9A;q0Th0P&0$`$F6;5&0CRNm5yI(L$tzH88V{UT7A+JFT<_FO-v&u z!|D6;!A`Dw&Zv3lH$^s}Fof74B730DaHumK;_y+Orz3sSr9MYDvpf5qp1aH4Om&sf zsL;A5Y1*U2{7WJYUE_Qpnb+XOKC%&ub^1CRf*+4{4zj4!8a}&X8+x^csz@XZ{j@l?D`fncPOku^cW752XS{%m=EP)hb%s+uJl(GN^mb{@CxO5w z?Ju`ut#N8@Nd&$By&p&u}4qU;eh5kJnGHk5Jhiur|;RJwT zGRjOuF`f6DD!u2b^mLVzgUhuGH3HT43$Dk!n6J0MyE#z8kEj~=YpfG6qU!M&qdj_z zqUT_chC7!G)NUMUi5H8K{ZI|8o**0%P@LVG_AagLD zWlUZY*W5V~;Ffxum_ZjwMlMNcr+yWFn z*S5ma;s>M9f+4ExhS{itr9G!Xi8osKqh(SGgA*T_{AErPlTOsLG8PeI(dgx9KJYkD z6oO?&6V=OqzD+t{kpXk`y^=eM-v5<&c|vrX7vf4_e>hlGbT49 zSR>zT?p!;%lYF}VU9!Te>j={p;}l8cy*0Y?P$1@mk#`rZ`f)1--Jc1gLUKyTCAOpF zj?dx|IBf(~M&|*f<=u{B&rV!P?uwFbco(I1kluN8l_z=+s@@#zgr4e2Xa{$p9o{it zF@3{U;sR_DZ_f^x?KYx2*ImNYmUk(1VHA1)j|(E|zW+V^fH?BGwW*2APj4*xP(WUB zLE!mh8pd}%1LvTa9WrP~@(>>IDH^>6bUko= z@H$f;mToeKt?NkU)l|k-`rzHA1c2CHnAHHS<_i}c0s^ohoJeRV{++XW{5P27N71K3 zR))MBGNHgu^1W^d0dw_1(_V^fHN08V3&9o~h!f*kC?F1=rjj*$<~|zPk}|iwqSuKP z3Nb2p2B}ZzAz94mnW9s${j{NS&P8;2MlbHWoS=>)n|c1UD<)^@0YiWIyhFs;>pG2B zu()WN_6t#4)52k0OorgAO58b{o|M==y7~>H$4uHJ;U};$xIc~+;d{n$^tzl%kmeiBfd_2KG*4`hKjRQslf>&+9bslKo!6^9Ts#@0<+vDg>cET8x3y7}*!urN64rt_a(EeM?W(>7oOH;go5?mzC$$-t+>0eD5D zRLxzcQ>WvSH!~+v>U6^mWEi{Qd}z%27uf3)q@MCA&#u-B!&T-V%p0IFy%b?;=En(D zr?Cs(yr&GD(*Us2ZhzXn`5EbY3&X9p*s>2 zGv%r3@rfst8}xh1vu7n|qcr=b&bBA5T=A|(0KY2ueU`e?o(a^66!RYC+#MXt(g3iS0MgJas|gYi%u%-SVH`gP)$I~BXU^~jsoTGU zdipv|W=P$s^*W4aK;6Mj(*}I(5z2Z*-e%MAVG`b=V~01K2I%qhE(Rm_3TfLDT#wC}8KlC8+CRPAp(@_nN$9O!o~B_m)Sb zpSyfJVWzPBbh?P&GLyW}$YgDb%LyGJKXUMHIp{Z{NWyu=z3=}a?_GLj$*wc8%ZIFX z3=DhfQNV%AdoNgZD&CI*Jn*PT_HR&RMr3B3jEu;N$H|+=6G@ar!?xf@%iW?HCcB#L zmdXU%r1D`_|qO8IhUi)FnXy0>oR)laIaEe#YKw z?Y-9b;V0_G2o=KcLdG^Z4=Pc9pRo7 zlLt`>P}6Cf!%HDCk0+zp^1F@oV7};~cJk~=4D~A+FS{$g((q6$E`R$ z8ltm_UcAwiV~yDg4On|>^ITBfjHGo-nlitPjIj%83BfYy4AFs?O|jFYTDzjn@*ND? zFYFuEhfdIZ=&CI34T+K8^zDMkMv5=2xXa(Bhi`jK0C5hY5Z@w`D4nKjefXbd#M=0x z+MsXl?}>uGQ=|KstY4sie!2Rnb`78^9jOmR%^^qQ2G3}^-!yebX3fW{vMb2!UN?6| zRf}d~wFj!C?A#JsGJ{O6K2vQjHb+&xWv(k_lgp^;HYu4sIqAhBxWj64G!-&5sS3v^ zzQXBCXmu2oSenfO{LT~iox62_D7_5;QHgF;$p9aW~Pa@ddyk$6C8|Eez)WP+tU zWydgtb6H)z=baYJB&6Tv6>J&IyG6}79fAhY6J}G;8;nnA$%EBZiHX7Dv1Kl;2!p=L zl^mOHCSM?DTeQ5(v)baNs4S-JFfs^Osd)B(5-21_Um%Y;$q{_C6igPKf=eQ~X*vJ* zmwr{8O;hU%##IzdY&KdqXnka#F&ojoATX!IVOxW04B3J#Tv4nWPI- zG89A2AqL{?*bkWFGVF%xN62)p!dRSptD&zVa2-=J@l zd-3s|Ts2zbH6*b%hhwF?y11*eoEUFB{Atqd>mMC>rD*y-Bc6E?9@|i8P=Ur&$a}L) ziB%FQkZ7!q=@I72r;|9|sPAWqd7gFu@wYH@u@)Utm>iBtA`&N{V?yLe@Kj5Px>+uX zf2?7tsBt;waIlCW1m7(b?LI9~mU^!otdUU)9uty_k{2 z%oRr0OYw;Xb2ysq$G^M0w_@M)p|J!U*x=D}Vu;H#_9U!4Om=#py~87dt0M)IpymS2 zkupE|r-$O>Z;gG;R>d)l4bDK{du$+}(nI4c*_#K{$qIclg6Nn<2d>rj3$h2M-R8Xf zh<=x(0JK8eq^2r`LCt$4OK2@V{#JI62_Im%0`Wyc??2FwvCpbCDW^O4UUa(e**wuk zIqqYPiUaFD#m~*MkZf*(rAq>_f(MF-$KADbTU(0pCo!|h5q_rJ9$mMMEXOz0ZVDe~Aj zeH9B@1}z6mV+Vso+!e@XOdC!sBSPc|9c{F(uqko_YYqCIw5B7`7aM^|<6Q_;_j*ZG ziKQjhWK>Y zkaqY5$y%Oj@xENPV%H@*(OkIW&V^4BUae^)caMxx$h+?GdQK8v6-94V2IC&&xO}f% z^QZEnxxDk#SA{y*T#iEEvl#JwW>UR@@XB4*O{bIdUh&Q*!ztZ$Ni#IXIa+AjA4`=9gVJvj;xv< z)EHYl?-#ut&g(f#dR<;@<^7uE?NpNU+a!k*G+2 z*pxakAxK5ba zEK&7%hEV=CO)CQIShvSL5|RsBB~0kC zVB7S>u%(L0YarqBrr3JhmWVn+SNs-$D!o4zeW{5{Vlxt z3)WSA^E30!kKX(Y)&7aqHXr{t1W9hvb$y#(uXIF9o5gh-tO;h@%el2+!hHJMY`nd9r}^T=mM(hHn- zCl;FdgHL~(l79N;6=v7Zxa@67|8;v+g3E&tN+{FC5!QUS;VAzAIbU%g-u%_4zs-)X zxe;I=+g=L!H&5tL{5TUr*}u$pJem+BT2H}5*`WbLLcv1Ob&Q}-abzry`=)RCl_P*= zVPcd8K}PZlj}XDm=(}UZg!;m>im!7_d*Ku(N;JPqmo*j-Iwp|OOre{)8pqiU$st%b zjeLd8GNg+vZ;uL?l#bIIYRn zO@9QsJrCz2!RfxW0a1$ z&N7uX91?}%K;Y1=d^}5{D}txI8qN-m5;|;7#9SO_#o~M*2S}%LyhQ36hF4Ft;y9W& z^K{mCVpl&Mjq#K#nw~{Dv3u6G?_uy2#@}|si#q6&nNXi#?Oo^V%1Xrnyj)s>YXr^b z^Y8pi>+^5_!RO!kZ$JO`AASDqpML(G-~0UAfB5;g|LXH^e+ymk@i%tnuK(n}I^zB3 zfA$T$Px+Q!)O~$~I`sK>{`fNgKmPpNukcalCxEibz4-Whjmo_*3g||kf9FpwGyefH z>zs>xD0lzy_f*D3UO-p+{5v0A&4^n6qaiP9T@AVWw9?so-jmr7@Zsm*`Dc*vpNp9P z!pdHMxUfF|v+uwDaF6M~XW)mV`S6tH)Gth|yG3PD{epa|TU-|K&s70`D3$ytpMU2Y z)^5K+gLaEeTHrkz^5+_Vi zBgMwvq~*wmkxu^^E9mtD5eFuJGyBhNj6<I7hORo1-3q!TLk>SbpTMjj2wIb9ZR6rnsM=@zu zMcuMlfc7VBcSW~>)mahR9L-!Dd6!9#StZsXdi>YS78~O-*CNsB5GLk;jh!#x`V~^9 z;9u>;i@zt8`)y;K)k)Zv+4l?zS9^|JaE_Ht6wGZxsMIhbZ1oGe9H{^eV(=5BcxTMO zJ;auh4py=RE^C{2r|KrQcGV;tDAY8EK5xmj`ijp&!LB)KdN3yp?76_f{Zg(d6F*=; zbNs>z9n6SwhoQYqHyECJM|V>l;E9ez9i+gON%zp4p)qw|=67@v)_$5C0j?M%TYm2H zb|;92kxI>-sji2{Db^Y`RvPH{Q$t=)OY0zijJ5fmxgzo%H&k;c&T%b$i%aU0dkH=x z8w9e1jT+%)aA0)yv{a~?#Cl2ikwn!

7G~lL0%bk+?x|ye4&3~SG%;OG{)ONCwGpk(_)bRxq0-K@!?>YE+!dunWXtnvBTmJRg0(nwCI-b zUd`_Ji-csYD~)a|G3B-w!pPBZ6jQF$bl|1^#3=npSYeA0%>ye$F6~@Ue#+3lE{;`#`4n0 z6wob?7M0REFLozr5&NpytMi_~kPKs$XBj8O@w{5w6}A^BAN_AGep}=v-}^LQG^7r* z;kR_2Pwmxnq4u+U;ZR=a55IYfe6TS~X8gLN7e}4%PK4;|CA^xC^;FHGym@N*El7sn zB1(AomyD;5j%DIKIz2e4369d8kLZ8NHR6ZPy2_74eX+5l6Cg*} z{~E&(=A4AGL~Y16mv1Z-tflMGoERHJ!TtXy8r>lc(_Q(*W<_Ju9pTX5kpVhA84e8^{H@1+19=nnk%F-KcapJoz!AeTy#AD`+ni-V^ajKAa zjRxvZ-<`E7SX+2F?#h>+R;cZYz&1zfzmSnQ=}=)wZomB07WV+`g*h}e!8NIx%JIj7 zV}}@ae3av}+pf#$p96hKz5G`%e^3!?1w!tBi|&C6r4P;)OWbn1$!w2HOLl6Lh+xSn-WQ4aowI^{_6=Sq(!z&B@~jDHRV+ z-k~E4>Ch)$aOd<#uEoxJtX9QQkd{nd7_r@EmrthlxyHC*4q%_8|LvCkB zz0J6N`35yZHPNpq8w)CYD|scVKD+*AMi04s14_hfoYpY*sjk5KTE^JWQZk0+Gj{L*#4y5KHK00hI`vf zBz@)>cQy^cKekw;2T?CQ)x+oZ$wjTeJTG`|QzK^bI702CNpi1Go|)Rz4c{`y2B#iT zi!}(XW#Uu%P8Gyr-Yl*6lQR6!l;P_M;st#M4F|W$k7v11?8hy187ro<=o#XLeU@x7 z%mGV?64xZxQ-d7p=60|#H`my=PZ)WdPe#&FOr|kf{GSp1nlE9?wg`#Bs5x+#lO=MX7M6F)>#6xX{CJ@ z9lYZ^`L)i+aU{`($)IPXpE>jbb~OF~^vj~=)G{+ABpo3UVutjAtJCX6F7P+x*w@X4B{f5I4}skYl%&PFI)KEH5D$r{ z5O6aAO_LA=4GypABtZXF_d-J zNmCbzp|~e0_5#?;31fCW4>gJCC72Ka!pVYIszY*}K<>ShNLFg8u53pXhe<^5UziIJ z9b)2SC^lnUbQB~k9a%CgrWkcWS7DK0gU3Hfh-N2fy>MX$aYjE7FLbfrS|fKPY8s&Y zD01V}gT$01P~2wF%~9-mF@vPgkjR0682czKqKpAsfrnPrfG!3J<7t69hHTVc*lD#z6()R zru5Sk6Dmfva16F&O5kmUAI2O|vN1&jLPq6cz5}FK-k6&NnhTPQa`?y^qst5{lrbJJq@S>H7Gxgu;V*^67vPc$7D$eGasWke26W9kCH(e@b%ln z6v2S_)NOoBQhH#aJ>oXXt{Dv9abi%Rw3msUH_E{y}3x^b}?&L*?|mgU%DO zi!i>afGelWki{`t79?(h?SdO1CKr!$ANFm-sE4Yux zktds3;L9se#zlnD3hC@QA2hXrK z_#O^D?wBe2$xEWH=!J(go`7I_h6L%o)ULM5JnHgjmNCW-Kt3>xJWsxWTL&LWIjsmh=v%+{y$RRbe31KN3>G(;HWmCAC8 zHR{;GOodTOpCsZ&o=fduDnVwvBp_XEUY2>$l*B;O(h3rMm1?t;CkU81D&n@| zUSY5r!;`hggj_r+=xjXX=&8qA4t>-x)Mu}{OI~kzF>-n?cFyjE;`5X0V0zOp?Wh`- zx+POwUF^v3BtjOoSqs+s(cV<+!_@$Iv^wOS$f~e|)iFPwc+K&sK7O)s%|3^sNCulh z;P8>yx?BAg+LTpww*KYc(0Ie>`3aoFvD)M%y{TX$626bm|0rZlY(HC`KP%pOP@9D* zx`t$HS8W>M_3`X?yp`L)Mz+`I?mgdKu%#V~b0cISUh2M;7|W4PH$&>+&D1NN_^+h) z?RVN9Wkq3zthi@LT6|d)g&k9`UKQ=KQp=2Mto!ehv1!Z3=e3OcTJG!$C=2haUDGMEc7flaNykeU70zHg8(1#xa&3FyzM70keObyoC{j5QVb z_$QJb^Ho*$f1T-Y%qtWIo#zcdPOPVwpO#R$o0o6uMzbsGi^c)zWAdB+hDajfN@8J` zdinF_&MoDbWm9Yz>CneSS`unbEDXY@b#iCZohQE$hC}DOC6Yy_vMVl5ItVZv& z&qM}16}I+z*{M=IeV^=xcr91C5*Dg(iIn!KekNp*Cy1cEtH=k(Yv1FVG;hduB3Orb zoCqt3GyVy4fksDUZF_|kRx4X0C~hm7*AOyzg=rDPpSt}q1;EnA z4B$0)sV=qwK(8x}HU1=_DmwGj^^S|$A}};a(?#im0Hh!Kn zut==#KvA1jcq)K#r+vTCjMqbFeep#tTp|K{GhD(R^LAft=pV@tYnk(cf!Qm0)}=UU z0xQ0o9IIo2X>n33HBfHY@9_7DL~G4^e3+k^7Bj^zj%T%Q9gVHBK$;V&nmB^@?@;RS z5BB2Kv1qhVRUcQX9wfHaRUK6?6T0sQ=+@@LnNSTMb1K#wVpPi3si=Dqhpk#W?V+;Y z9ZosH(skSjq0+{RbLpExJjeY2?fg!~_0Iyw)r-~u2T(%p zcZ^)#(3zuAhr(|0gV5Ke>O|SQTlFBB_Idaryem2t(HDi`7HbnlV6)oQIjv4qagUxO zP|~+)N+Mka(*=jfVLlw5z5%>;2jZGG`JtHg5?a=glh26eNhQA?)JZ)nL3>0WB@Q%S zboON-JJ#K#P%2{>k!JJeAPnLgJ~kADKmWjs#Nw)U#awh`Mz~SAeNio{v&ttk{-_>d zyR?(epUj)!wFxhmOiw^HuHRfyA9hc_HzGTXQi5W=QEbej!@ShvT8k?@ygcy|J;D zUBl|XdSL1|o8r(B!D(Nt7|DCDH!euGRhoI=LlE4N6q)zC&p*IEt4G9?e`T)-b>*e& zPt~r2`S!^^asAgjL&qvzs{xjY~fS*5TuSG?(h68*H4rC0t!>bNd|=& z9rDRp=E*Dz)4PjYKmB~CZT|Jn^p+c0H)Be4@By4GyCYoyua5} znmpt-tA_G8?x>)WzyoTV?R7&!Z-({>&5Xm z5vPM~4E}~(wnh*Yx-qthxu^?75kU;S#rT-O8>$u>S@VYSen0N(6)c49&MhH~<@Pg( zdrACFBniueK@uVkU0AC%A z&Hw`KFw5o8qkjoQz6nsHiIRD@?q!xgNQiq0ci?)=ksF0skXS*V#Sf;1Zi<}2!F%3H z)D7XkGgFY@%ZGigV5sUXPEt9*VWv?O&@p?7PK9juk(_)3HXcS<7Sh*!iBZLCf*u&( zek!!*6M6>9JJw}si-9J$ZBgu5|I_Ek(7Ju3D=cGdgL$cA&a^t|#ZeG3I&Yc={~im1 z$ePGJkMEYAfECVD30o7%x`z0xBynAa#!VCMdAW8HPzw_lhn43tc5Rvp+INi&@-)Py zd3@isrlGQuZquE%Ig~#FEbRMGGD!;Edy!TEd@yc9EMgpl38T{%>BN_AOy+q>7&9_$ zk?bgM9ON<`fPLgd^c_``w#A)Y{C`b}3ou|PDx~Yp?uppYD$x#vq1f82D zH6x}BYN}88enz;>63qsq5607j5x-S(9}pZwOu7)-ci-N)33y?Uq5H-t+4;Z?NQ*(@ zr&hd3HXXMC12ICvY>{xBE`4mKOc!q{uB+7O<0s3^I>jze{NH;99em;4jaM8|F&1bR+ZA}?l<1JE-^H?kYA-%0RLFdV) z3r&MLVg`hhC|$t|m@G8IOA))N70wflb2u>JrbIMbN?J@}Jr1!ON#yk`>2yocHkZVv zPWWN^WVd@t9K<2k&phR@WX-s`5gEVyMXEb1Hk7rUEfOv#Qxs*~d(3&y6!ZD(_EFHX z?M#v_XD=3Yl%``;@12etq%jWH_ht#lwWT2y`B39>_=ZQr;0aNgT)9h(>h z9MVa;alz{igbpws$8wTpSWvn`apHN5oS&CATTFa+#_{1Bcb&#T|okhRDFvwzJW8=IVVr%L}fNp8Q> zkI(O&>^57Y=Go-UnfN{=V{=2DA$+5pNgM2j)SJ#C14rHv$m^CXZ zm=;AVLWz3^+cwlLHr>|ul=RlT9myo+v|2jPn-z-Z6=I&DLUn#DKJq^DG3TAeQn`snb6254S0R*+<21wjVid=OzdPG*gYc7YZFO0 zSj>;xRxE2d-xqKak$A=cDR|y2|J|L0#C1KU^DI4|jPH(uuqEHLKI=)b)mmuu`gi)~ z+F&Iz+`Z)ufMa%Xi#V`H0z|?_QM^-b?Occ?s!JoVbf@m4UK-r7qV$9ssUl@aL#vX&3pcKB68(K`A@mNpz;qRM#kSS0!a4jAY2%0FAs$nACv0_J+KWsOPX=E; zZMqL$?cX+S=mJ#}*$K(A2QL_#^er26q%#tV3KQpv4g($0g^y>FVm8Jn>(mH?@J;qL zgMW^Ex4%C2PxeD~Z&H6{SsE6BfCvNMu)*Q5&%C2BE)3g}R1Mo!)2;3c%p*RA9@iWC z#&4W@#i(?lrOo2xo&|16)N9e5Ra-ba!s5x>yr6I2-bh%FIiVsCHG>VE9SKbiPLMhB zI8I;Co2voqBFGIFsF8G^Tj?xeIA)oFR$GkK5gxu~r|1UOl0-qjnn&&cR*h7|94{NI zzLNcve)+|@fqWRAj!+V3S+YbTwum`!uKB)PI-8dC3$d1*-9RKuTE1j+$+FT8$&Mv; z>@Mmou6b8gW96?MdIn3fgy=*y;)#bqM+iv+@Ul0rzQs_I#A7$fYsmYfyG~@In zq>;>W$MKyb6KM9!xAxfbVJB1W>s9;3or$c4y z`kmENS!}A#xu6@XSxM0Z$&5zjikvGbsn#Lam_z5Bkg7QW8tGUm2$0t&0?A;rfj(&; z7(#2GI{NE~Q5f6)ZHp#YL!m?Eec&hL1bohwl((xD_K#Dst|+)Jo`u$)Xs)aJx|WX` z!b!8$^z+m=+p% zD9*cIDQ_+oNi_JZZ^ zOghjstnbEPTHHaEyQ-?oBEQq7Td7zm1?{?`+~PPBzmOAgnV*Dnn(y>bU?!_Dn005i zV839HB>Jgd6fO12IpDP{s}CYM&ILp8Uz$7~49ozZ9L8 z6R=C|PJD#Y{NYmAIX_~=UjFPEi_9U043{;Mk_iVJENmkiN8DDK75=Y$PkT1rTFp4qTyNV4W{JFH}+}Q!CZ87 zSY6%{THfAtJl=QJgc>4*dUI;`FMo@^k*BKYgB8gJwNo2d-aE3L?mKhAA~~&^0887P zY+v#iWwJEg3FD2=ILCTOE?qgf!?&6ON3XKABQ$a8bwvygCFG11bFGG*R1h=T*%OL= z0t2IPAnU&;ci|BPk$o7O>v|7MrN8IkGlD^PjjaeOR*mBUgDy`u`r0+$?5JbukCM!a z0%xCJS9QUt+~xw+t}&O<8yr#El`HbCC?vjcBVKtu%@_Af41C9^J}*tIC}J#@7S%Tw zwKQ;BPJ$}MM0z%b$=gTIHL}*hXEQuG-$l7}9jJun=tuUkXx9@2G!vb=zmgzCZRrIa zSrMu0g_VkTL^=shCqcMio9%bUVzc@9-bqvIfBR?6~YwxarMG)^39>2Jw%PZ>C`vE) z03PCjk6w698l&67K%{xedpe2t;(WhHk+FHRG{hMg=%;dxU2qN6ObPymA8R2*aq;|k z5Rz$Rj&r_RVLh#Kg>A5p;^cJ%nRAZQ+KKq;$H$yIx=2nET|IB8-Zo!hjh>2z%Ifq1 zOe(q*Hm_?$iN2QT&m_X0gTAH;zCnv1{g*?ZY}kz*6@KG=A)nX6_L#Qi7@2X=;+5a;lB$Vef!PGA#&}V{*XBMCCa4()!%MYA`kl13vQEj)yPHS+OSGtuNcWe+$hiYxg=~Z&G z?kF^H9l{_#VEf%RDIW6s2CdZ4hLgXFs!quViPF@B zo5D&RM6cSCg2Jp^Jsk)DHK`B-oFT*T9~<(XS@ZhIp*w4sv(dPCL}cvCM%tZl$3?7Qw-O%kD?W-`)F z1}si)j!z`PidLsRUtKt5Rsz#7n*vV-W`G=0+-3CD&Fv^gK`#)inVNH+Yhd?@q@lTM zA)dIM4*qy1YeCSRgxXYEH$)QNIW6NwkNN4)_b$UDNwX^xvS*qvb2NlX5;Rafr@7}P z!E)WgNU&pPOYa-3+WaFgXgFnHy>0TzEI2tGEro%z=(0vu0KypI1_A zLw={}rKss~2=yMNX-~Fop$Lx=f@rIgxYv zDSj-UbWA*G1&Qn> z)ta7j0^L^LDoRwexL{fVVUt-hu1~F1P(Z3rimCpv(NRNWoreylJ0wa+{mM=I%)}6Z z-9q$Vn%8=+!0?3ya;#S3YPP7>OxFn}t6|guL~!Pu)JpDhXDec%Q%n@E$ppmUhmnlh z{|(b}v?+(*>>KN{|IK`(-LTemb=k-zrUjk4rNQZB4<1G_#tPI`Ip*bxXE&^*^nvRM zd(C@iSLXCH;C+QegL#6n5gSV2EQqaLPV(ZN6F+!R_9E;HI1l#hZw$_Zhfc{{VrMee zPef!(30yrAoQ;CLj0I!Gkm#zet|(CCrty1uV7S`6bVdg+g{(D;Z?O!~pxq5)p3@wb6>&q>I7_Kjbc$(o6BA{aJMf zxl4hQT<8zXzAPqGW7Rh6T3w~WY#=)6xZctD&7xWUzy524mQ6--C>%-}b_<8GxFWi4 z4~=W&`zxkaedW zI^uqPyxRf1J2**3&<|4qZ^CNkQMW(u3wn)ayogDYJ6$AznYYC!%VgP|vi;N}9=$2s zpOl?UP<*BA*C(ZWGb!)1Ji8C#8xU>BH;7VEFsVRl9))^|?{xgK+_!LivzSmyiH5R@qDlFIXd90(V{(Gm zW&$akzA`G_XRQ(Wq&CJ8X!4vYYvRrF{k!D{w<$SWmJqUWM4%Oe z&J|6zN)Y1<)r<4k@HvWV;t!2@xJ2-FokWKI^6 z7IIy58?~YEl2n8%?nHa_#D9F>^Fc#8B~v%(aT9RHg-w9b>M$jRT$VN!c){}C(?w$n3j{Q6(w#0{~|kc9s9lumlEn6#5;D9kk<2JQOgk1J>KXX3{ZQOq79 zx~HZwe`4~)@k1O~jiRoG{rKgNVNi69bMpZd!oX+8dt_}2SOZiveF!9TTPQu**4;`u zHy;oz4W}6f!q=#3=n`TdA-iu0YY)wcTIcM4PrW1{X4nJNqZE3ILob{xdGHcTgqq&= zFt3vYB0ctq8>fC^e)S#_-wOWnuT4t~qLI>dviaMmTqvBi-efkOGN=250atkE>wPAd zJNYN9{l}L-sI-PQPnazBe?q?L{XexZy9U-*O;<#6DY{6Y#tecn|FUceM zbtgnK)sIg({jZXnG{^B(ndrVPe;Zd3diTAytW+q2q3J(;aoy4992R z88LQ7Uu$p{_UfTFp0JGYeV+hw_JwS`m9C7YPxtQDCP+Si#FkS~DqYoTUFL(fg@X!b zhpC=7RxfnAR_&4T`FYT_lDid(Zzl1bal5GsauM)ocWtV&|!LBHG}3)72`#<{JZl9^;j-3^#7SJh{OExaUKPpDL)v?C+8Bmm@2zg=hlpsQNi5T zHlg_^cSq#)MHKj^7U8%LdhCT#9dsXL!Ne}Qohgrx_MRXbJ$=DVZQdw5FlA5n;9$-m zVYho>QImdfUth|%+uXEXw|(NjSucZV9gdqbRCBRR2nFA=Q~X!ARbo@0al`eq-iW1hrkO9V zcFn!>$@jn0+NPOv&)Q94*f@dS+^m0m$K|yZN0(hihY&+?U016WOlu)+qu)AF$m!z> zmCU!=oR5&?G&oS7ypYntCt(tFH9kk!XL{Pn^=>VktN13QZ$ES(z6R{odH5FFi%afc zYz4eWhfF#`m6egoZ#_4(_}rnO@sR_XT{_f>j83T~Z$z71(W$su^Eqa($}KfWA!SK3 z>#@oqd`HC!R?XRo$nQj#33gpsT}Yr-Rdk*u%BB;BT4vwxvrL9`cxQY;+2Mk{c5zZ9 zfaXUA5p*8wgDOtG580epI|FaUFXsY9jK>%Ly3kFF4ffd`IMIsoSao&ZQ>O3(J$KJF zv^IHv*w~~y&sc73ks6S@>_I!eN*8imT+1Li5iNrkuS544p)Ahu8S0h_tS84sH>DJ8 zm+PXgy6^Ri>PcP8YN)HJkEtss!=x@SDajgtrL&zBra#uy&c+SN$kE?mGRoy`pWgJ5 zX_HL#+>DSX1Yf+6=9}2DqCz|=`U@Dff>kF=VB=iq9$c%-iBa9Hnfz>D|0`w;o!|8m zkuUUbrl*ejv=DdbKg=rnr&!cV(PO;cu3@O^B?sfe6O2~D5F@^IOzaHTvxr){ z&rjFQX2`(g@+H{;QerF$!+atix|Yyl3-&waT;259h&4=_HJ|5J0vj6kG%1*6y`ND6 z%;I7B$V2Cgs>*=vqNxdU*=TgS?hdzve#8U)IDQj zRscpEPEGt5VY|ap3nPn2Jg5hz$)2H(eU?OsvawQO!umw_bqIgp2qpZwD7V*X-*8P+ znUw1VE^jAEHNRZMw*!TRG)k8JiZ{Ed10xUm4AHv@nTcPmb#*a5bVF(m5D_M5^JB$0 zR0|3Ff#o2KO?^s2=>o7J7og4{QbZjVNt1IE6_-I^itDWw>{@&@mmfFAQHs{~Sp7R%{6$psSpZHi<IE;ReJ4dtI^7 zg7y1^`?-<>A~g(walP0BW&nmjl(Y4|$hVX%CvHG4TkQN$k!0;`itad*DbVg#G|0?) znHyE|CWUjRy0TZbX6Twn&t6ve!Hb6a5yaezov()fS;<)0VA{hAG>RS{BKh2Y2oozE zLjf{uVJ4^@`h!>I0mQ< zV$egvS1UW47fBowWWyQ4^@jzq44vVSX?N()>xDQ-EFt^raR9tGdO!!q z4#U9mqKWu%n`muuLmVJj5)Dt1Z>X9WPbS%TW<3!FDM`*piT*GjjJxd^^wbZWFSONA zFQ16MIjp;}8^Vx;0N!Ylm`;danYFes0jga~MOAPVpiuz-ba;cD! zjYwyw#W-Aa!;(xSOV{8vC*U@Ldcg5*?Frph;>J?G=95=uVNQ<9WN!)kcX*A z4}0m!Al>kcMx&JUzVzU2;U4yXBYYeLF&Wcjl;Pd)kn~=M=s=5qgW(Ai|5&kgj5=zR zPC7Ws#OmkG_=%Z2!v_{|1?;?oHm;gOj;ZOy52?HXxDN@xji%owa;=>_cnmb4S`wx6Zf}-@0@@wC&$}6(38#FbPQlJYWYw&%eLG{sq8Wmx^$BL|=@}Bn`nC89F zskp`-bMz*=Qk6v1gJII{83ourI}%=W%&|WZ*H^gH{6%`X4s02{wkhaW)6?k*mjLGd zJT)54hR+4lmxX34OgYA&o^(N>gd5pUbi|a0!IS2zUsr@1Zp3n0<)_Dj?p&9GAhVVuxcjH2LuFP#NBwHuw9 zWO6HlHxoXDL=JVOHe?Q;_Qu_ma%a=D`T2ADA$3TOejQsmsnmwSXJX_Et7B7qypw!3 zqWeykVqcR!*I(h)3!{qX9PD(;(^Qtu8537FcX~4AJ8IldWVSC!B$+n^vY4>iNQiA^ z(;0VNGuI=HbDUzTq;5@*-jlp9S7mkN6~-j5g6eZn)WQzL52s4l71-Tglbrf+LIa?4)@1yQw@KJ z%P*(Usc7WR0^MOT)-$iKa{Gg3SSz(bCkSK#OQq0#1U2#KO47j zG+r}}&PQs-PCR!RCn;Efk>>F8Vv_&NjOnD$bH~&xi2%ubzRPICnVlT=`HXEuQ}Z;~ z1ei>GAfFh(-jIH7_g##!nmK6@dlT!{i(bjmtJ)!-y?q+7gWc-C-5Bj9Mn6?AoSM5s zzYT^+TeNDtpMY-S1?iMGeW=^2+iq1^*>psf#)!Vo8x3#FRSTkN zo~g~3ygEfgW0i%e?^%BnJKZ(MVIl+|nD`h*>X`VO8)bi!DcGNcvnAtzu#0Sn8Bv{& zLU4iobj4uORU5_5>Ud$)i$ut}%!y5zDqY>3Oy=?Ly!P-lCfh}Pd!JIBBm2CvQWD^9 zm@7oC%>A~x{BMyfo9FWQ9U9PH>zXI8gcmyfUt}uO0f$dq25b{C&=gL6XdpFt+zHmZ z7Xo7bcsH{N8qaCgBXgzE`FQtOq?x#345ot^Fu@3hVB9WhEzhmACJtrbtR4lnnqeuFfb8J|YG{U7~ze^(6mcMM~Q4DoGp zTk%*wxRVRvN$`6Y<m98+9)+*g4=3nFWg`-Z|1q_0jqO+gbbbJ-a#{eE~$8m z|4lLuW4ESv(%G%$*LJKS?X`{6kbOwECD;e#AU|ljc(pq^H z@jisf2NEQhZ`_RWc?`!ao_LUW?`>t|kgIkgNc#^l5A|s`LJu23GO=R!bwOd!3qk{m z!rlw~iV%)5tI)j*czcZ5z{%Es;|DiFSG`coc_XwCChNYPzGLdK64 z5?mN1@`R5aDGVP{l&lyaOBj`=by6}d(~NdPWKK{mwLTO>urqIJJngcL?_CtXQAgBG z;u*t4d@lF^kUm8I4+jS)hRq(8u;Y0!oCvc=mhI#rj(=!jN8?=}QRE-~g}tB&KQp_FKG^D5A}?2A@NGd$0Q#iVUp4bIf(4xLsV z&x+5K0wR=5q#f5#kV$zJC8-X|TV#$WiS_wod_Kpl30FdNn>C$e70j_7HE_rZdonUv zy;;_5QEKQwn`HRJNjnFOjgDha2g@xa!0Mit9#BLNW8GIEiNk63Xw1Is@>#6aP<}=x zWu4!j=Z|{J-k?O?c6m%!9{v8j$QwI7=7Q9G+K*$)BeG;`ukJp6F@Lz|`M3wY97io>kf45M zpXW`6wBe%H$C7o+huq1KI~ZUsZ*tFjZOEHi|KnepJ>&_{n}7`qfT#fI3OX*%Z~KQ5 zi-c3Sgtk6rYMlSid~6Lccm_5=IbKbq|C+3>arOYCV+-4IZQwG#_KDJ7^FM_h`yq0n zs2o>iE+OQ#&W`_(AG>rIT0K5WXr$`z;@}|;sp6nZMJo+PxHvO~G$%- z9X4hRWh^n!IPfscI`CCKmKhN0Q4Fjjan|Xnft^p8|8a<89Fx{jZK#*&PbIVdoEDk+ zRHjrU9cch?`v0L6-NEaEuMk8c86|Os$(MYn-0fB2oQ@v8D!(RoF|sE9LlRg}XNzW* zOBXend+ucJ8SWL?gi`qlWrV?Cs?JF+PrN7nMDkDZ6AM}$!!y3p$hJM>m^(lvx~2_= zBSRX4HeEqaeuA%(MPEY-k)qa{ab@xoaUf27?vrD}5#2 zL9Nj)8Sk*O1@8qwhpLzPbC0>x^?RxVL*uV3E&oLlnpO6?M)lQ@lc-rv&g;^W zNtB>Zn!lI-;(I|itj@J+hE#-;VqkDfbfo;sievD;?kd7-_7bH(CBCjQ>>oFuFm1`F z3@qB$a}WXP>P!o$PS=l4-L0Uo+FLs@L9 z)>-^3-L4Z!xz_N6=ID+p*^*&oZhj%oygI|qDAjXU7S3})>UhgMT{);lIiEJ>6Yii# zRlfcSQCC!H^>0RwG-#OCx_SL)>!KCe%fHQte#J4h`Zu2Wgq9AUj>W7s(=T+(SWyP~ z@_N7-ew$7hT?^~)h~cO%4(U2LX1v>Zl6QzRJuc`-qmcPPhO)9aS5EQcBOQP zX!*{SwwqCGb?hS_m|`=-zXg8dA_lkUpy>vgzsfb zbe+JW?#&o!2(1f(5922<)*Pg1V1n51M10vj*>w2YRPW_|-%9$*wl9D15B~eZAx8(4 zrG3izmI_sVhYc_CoRH6&`f;CEV4JQ&LA|4^ItlxY-MgPiC&NzmEfUr3%N&z{F^%-H zNwI75?NTE=({kl|f5%GwxFsTeZ2d9DOy5|FZ;OG?cjV@0h%oB?Sx`zS0R{%QYPaX* zGsEV~sz$Fst@n~lz>zTZpHx#ho0T&j#g-f-eh?aJ^=(Z@nhVZ&aXV3##4Pwx*hAte zxf9zNWKlLHA#jtvi{$0u{+Jhnm_PB=FglnklWe# zs?Qh|BBDd${8+7PI<+`;u32l;NxLC)39$;SqfH=@7T-zGmB5@qi=r>q zK0n#Hy}?xNh%aB$(+z2Ql?6gOgy~&$>zP(}<*LjKMNgMnA#zlS8(W?7-)h($mh{!U60bF_g$o^z(_c&1}l zpZCj#&A!rLbZeXqh1`qp2@$rz9HrZ zWv^}oW{=Nn^YR%7IV;k=?`%syUC%s_24i6F1lh&JTQhK9N*3r7DhmRGM=-uwU8ohQ z(}~Z%+=g!2p53iS68oO62Pr7WAm0f!#%+A_Z67R(WzO-Bcr;*Wv~vAWW0cl|8ny$v?xnfK}`PQr3NPEnVp3!cz@Z*2%Sb&1{zr}oU#_XH9_fEs52P}wAwdeP}b zUs`MrjK7~%AiM>BiW0``xu)#NuILYUb)}uiJzjJ>_>{OTG?*tz-)kstMJ<*NzpBIj zuHOP0n_xbD`Ti990Ll{GNfpj6{Hyw{5nI{aeIZzWlHBY_a@PWlxuzH0uqso}lpf45 z58@GhMG&WE_!zV4e=`Yg7G89J;bm#x@NfoskoMq&7mfCknDJirb9Vbt@_FY$C~>m7 z=9+Cz+P0#P3CRQUt3@w2{l;{pzy9pa)4?413G4b3J5KqVZ~s-aC31M7 z=m~Qsk9Rb1T~)j%Smbt@G3!MnvE+^&UbCd6gYA*=YxSI;mYG>#oaj=2!pCZ6P8@wZ z<63PsmbHv2YF}5;5j=UvxNBJae6&kg+t9+@dnWFu1ClqT?YmTL4*$%nZvi zlX96g(i!@!fn*Jkl}|R3^+58K?G|?W-MsD~;7(p)=~Aa%-5u}M8Cm*~ikF!)(Pd9p zd!sJm6QkZQMI=M{@*@!uAw_lN!tCV4SYtp8?kHq-IAG7pWT zFs<0U6~oF3MjlzA7iD-_ZmZR%>Nu0J1`Y(DU&Df_4)jnzsB7NSv6!EH6joae3%G`T zi|t7RFgNsnny^6j;(cNBAuPp89Z`VsZU}mD;Va^7oIPc+6}{h`@#Odhq!o4z>&*s` z7-!#y+wsyttyJ5SwaQPF0fn}_erI99Jz>Fw4=Hd|bENm;K%g;-(BCY3@-vzq^|Xf) z#VEtYYaYzAs-yPu^3z?_88-~gelEdNCZGvYzpW_$b3}RmjjSz!xKE?8#zvEvrYFyq zpF_WW@B4p2fW;$HE&+KHp0C**%;Hdg=X&p*0g7Jmcq2FDU9(~PO)_gh77hiC*K>U$ z+8I=2&l6x@LKZJ@eWR4FJrg+tY_YFleZ7bvjzf(y0Z~rE8E&!fMVUX7GT;_R0t4*1 z;T^Q$Sa6gDZFq)W9AqKyCMMzr^kU{AdNGx~5s*2Q4>Q4Esxa$UMc=&C#o;ik*c3fE zkjiD~sR`UOBt?YH+?J*`i676q=wIzaoQ`FqhkJ=NgPpu6wU;fgS$d|yE$>HrDEnPq zAl1pirnxTVss(lHjw>=j*7?Pl&lh0?Xpzd$OY_@>cf6<54cS7G?IV7Z%Nd=|~+_+X_P_uLDt5Lr||%b+PG;h&f#7bM8I1=6S}Z zJE9AVRju~L@uvTW^8Uv6ZW*3>3dY`P@*eY|kl6{zx9jM&bmYFFnHJHj%3kFsX#P$j zL~36Oft#n<(G55FG@B5ospC~>^j00i7PS|q$tmRP2Dn>j#bHw^Q}(w{?)<;xy-TkwOO_^d zDyy=x+fj=N0|p2jdEd-)#La#E{YZgONlXxrLH`0gB0M5|hevo^_wc<>>fE%Qe%v5kBsbT$~;HLaT!PVc zpM;P-UpaYKR~gU?Q$@aIY_07HP{1Y!_0?%4&r|*c{*qKoIZW-a&0mXg6q5=^!RqEe zxSm{`zE*|*yH+810)Zn>0nY`_*1XNf2pyT6qvza89Bg}TI+YR)g9x>%wf~GUvceHx zK@@<|&P!bN2w?LZ`gv{b1FpOg$B>gha&~2d)%lSr1D|WR2s#Gg@*|GU-0XmBTSu*TWXdkKdwR4SoMEn!ZBs5Gx# zCpk8L3@eyVAmvG8%@0vy(TIIw`JTgrC`=2qow;>KJY~mus+)b@wWHXs5q)Y2I#Djk zN3puGd7D|wURR5r?YP&O#a9xQEd>Wbbe<2e1kKtN>S(!VNUTJ%R@eZTH*#p-sDmDk zql~wMvGz>uy25B|&l1~9M|3b8Nl>oJ8{Qmz-R=3f)f?RYh@)rmo!@r~A}*=TbHrrY zrapcw9x?DOKW6MI+p?mMX2YDR^aSe0x<4Dgk-DfM9^reqBkouO6F&Rxx~obh{r!ex zfHYM+Q}PTgpLki!%|m1x)9NF!_n^|}5%=jFWuqrk_>r6DNz&P9w6ozJXjEZj`2y#q zTxmqBU|qE(<4+{6`7@V@AtS&YDbO-X1rYwiNdxOJ%t=M<1VV~-shruDG83F>AhgYz_b3J zzp4Z<({v;}4Fuy8Lj2(K*dPxpYa%YD#D6n(R6IKuB$z}zWJKePCaD}2VxRZWj1iH1 z(KsJ?naky1#B1Rcm#GHz=a@vLl_9(>4On$pNunU0FuFN01!R;aMaT z4TBr?>5h1DV~+hPamZma)A$Cq4&n=r8x zDkfIoP3@kC>L(Jxl$}&R=fRqY?EXc+*_^l~3le@8PVl>Y@LTej%=v_ES^WM?LC6 z^5BnaN*S!y6nug&n*-*_QYYh^PI81VWg{bEKDYM-zR=I!d;5uSo~p-KmcNiR8aA_n zs(fG@(X?#T7A)FrxiPu9W?DW|sZl{yMZhZ5MeSykd6c!p^I8-lvuRdB47{1B=`SPr)zd3+>|Q4t zpDQAUa=O{YI$zu5bcUgDkgN#Uz8mpr5`YrzyL&ER2r{Oi993Ovyg>!P}(zSn2|WJb$db_ky~cCtDAE{n;BZ$R{2u} z>2~cqE0!pG4Ct17epSsYJPLsBWB%MD&(qbbdS@|T_6Ax6rcH-)MzNjt@usChl}ZZ9 z8p7!Wa^}?6w=GZdu=995+xv?iDUjjwcb4FxLGIUWU%q`V2%>we(Wyrk#0T%Jr$7Ab zJN)xi?x`%ECCf9@(%=gSkO8Gt{=&Nmtg{5Vbq)-h%$e4^br^eYV@%J7VgWuhb%IM0 zxgJxx#8yny8GTE%D$p9f6zj*qRekM_w8V!v*!JCrx2gkd7wSpzAk*lkEiN>t}TDP@cpC_DBWQ*=*HIF(%%sD8%!t<%()D zoRLfWz}rJ{dgRd$ri@()1eruf%(+7ubA3}VI@(Tq!MrwEXz>o8;j9Fck|Q6%tDHxZ z2kF9)cc?^7aOJE0Gu{k6G0HhV2~t&6a3xek6tMd@JCIbvO*)A}naG=Sbu*h_XLu&1*pM(e#u{;8~SY9cWFbTn_K z&X6c@!juy+NUS7s1QHZf_60`-N&*%{Dd+dQb6cOWrcw|{Ka7@OW7le-5TssuXxLa# zm7i*Zy<|Ki%?<2?SFBqn?w4xX5X=pWJnyrra?7z0uz9S0Cpy=TwOBtn#uJvDAzol5 z8PB?pkd8F4-Sf=w`LkRjKm-%koE?d4rF^v1H%Vvas=k@W6Co;AW*#e649k4TB8xsG zp7Tr(Px7Pl5Jm!v#-W|5=d|DI{$XH8l}|G3kAJ&Z)&Z2LkJ0laoXgyT2HJ2at%%oowPVo8h}KUtMVn1&lYv$O!kuEnKo@}lG{kWlWXj!aMw|`A z!g|PmJP=2rsH+Kt9Z_So=qpnpl?$B?13w#)`y=w8Pj#yvczbGCdwh8DLN`q{tv92M zdl^MjaU0q=2?9;)Pig%jAktr^RRfhQ(fU(ydwot*(`26xr|A-DV35moAmB~4Ng|h3 zhBg?{4nfAzvZyjYGW7;C+H?r3_C84*&WN*Ve+`QDXn@m*cVj(qI1r;ZJ+bl$=$+eC z#dHpc9WNVb|Ir_4?3Y|nmDgMi>JwACz|M zaVoi#cGdAY@_TdMV*l!R%vox7eyRz6P*hmk1%T>R-pT+M$Az&R<(6bq6Pfn8J}r~h zjo5FEa#9fp*F9mko*2nsh&BZCq^JEslh)luQjbtFi$nOy0-wkGw;0h+@%w(G_$s&8 zMo_>05;?gzmb()+dYvZ6Prh=)#!x`*cM@kQCaTu<0La6h`~! zwu844h6PdVj#xii+N_Pl?+h*a@PkP_()=PrTe+hv3(IpdNu|SQI^8;bEG}tGGEI); zT(Fq#NhP%?Y`J6RPBWCepd^GNutCS1r89M0U6ln4vLk~Om9w(&GbIs*G@`5iI-~L=~2zI+J1Zw5Elt4zT+bt8%YC1m012G-k|G*r+L1iju{G>sD- z@1h2OXv-{Uimpk%bCHLVRgrfBQ=tT-jTAfo@zEj_3Gd}LS3c?1IUiYyl_W_}9%JGb zrsAH6ln{k{6Jty(acJ7x8ZRSqOPF#bq*QwO13;{$;b(A zzEo*e+;H5q+ZObtVkfy@N=47O^3wcDF%{>6l?7v!-Y=#Q2PI3-D=kyFf^ItQdCNR( zbc?PPBuDrf1BEEaQ;y>=jSat88Z=LhrXWE(<9`W?lvscJho6l~d3##Y2U&B2p&9heg{EE^x_OB`%ppEY9{`Si9pH_&Ss8r$q)?~sgf&d%pf!jgha5`QUg{= z+%%K>fZ;A)5~i^upu|0We>`a$<*$-3VA765==lYlKml^aG4EF zqC!ZB8r!JhdFCU!JR_Hd?h#W7DL%ey_=K}A$q&4SjM+GuD0;%#DML}aRE(ELhW*jG6V)p(P4B_ppLjGowB@mE zLCauMW@7yPYCvJ0kjxsTA1NLN&<()kI_qG+v66 z$$68C6w$nK-o3^J-U88NMBOFDK?AiKgo|phtUJBu zax_+h;GTB+;ZS}mxZtiDq|++;Mk(|nFIlQYk4|)_C&6M*HpP0WWlG=D<-W*>#)~5g z9bN2Aex4FdWVS@&o9^7!b9eG6L16lm zz0#kj$D%!zhkb)1qI5#Y_)9MdE9cMCxDF zC;ITd6|H**ad-lz%JRM{A2dlF6ZDNFwBuGpxp(2R~5^22(ab9(>78M!#<7Y08Kw@(m zvQ)K=z0bRp;8OJL6e^Xa2 zG5!rv78#;Q6PdA8{b#sS)8soyI?*(+eGN^lY5dXnNAvMdSr0~3(6JbM%P$E2OSiT9~BDJnl)TmRG^mlaFy2lW3o&7oG>{ zX*0Md@(q!kZRIA7)dWgQdEN?@!P`>=Q;J3X@Sl~ zyu#lU^!?=ny#T1=lcyZVueCV!61hO!ugrJ(S#W_QY|h+#OSl}9XIZC%{gOiy2tcL0 z*O(gP<6jm}<+p#|Id+#W7axUI5aV65gQQN?9q6(ARMk>a_BZ|2S)2~l?W826KGvp^ zmnW?9sEK*#HiTy49e%;s)Pa0Oz{uLBzvDqM_uV_p*6@0RB4o!DbU3l!8Z@(es zVg-_J80S92J-)+zpFeK8gWaC1@?zW;9`oi@5+CURrv8ZOu5Jh=-hKOx5}hC2;ks_> z{8HxlvwbSC$G%iKvmYEl{`l=Tc{6Hr+J|97-jCfG#m;=CRTbEJy_r|gl#j(BH+(mF z#nQUP-iYW(ERmDQSqUq-#}QfsmJUwkkGWmdCpJ^{(g-59M*(qi&aaQ93`Kk4ZFuwH zFBFQ|ZAs6)?5!68$zxkrbz{F2tI6Q`>71y1D%XskFk_gFp$Wj#2Tv`Bn{M`O(01Itht_ZR0v`z8t--l9Eooc<&3U@}s7cdk% zHmVpV&-8m~>U3t`&f3}H;m?`SW_o1*s{C;Kt=C>|rpnD6=mjF@#S!(*q{8`QT4JPj zb7h)0+?$ck)by4$weRz%IrxupJ2L7N#PaQb)itHk#NNu!RI{g&pU6>!T&{^esNdyYZkvSo)$T@eIa5djqYn9QF1&Ks<%rPRMq|a_*CCWRv!7i;4`CFBN z(ebU6@q5@I`*e>POtfQp63=?$3@-^9eJAEy9)V5E4HL$k2t&Q1R~R!iqB4Gs?WB0= ziYgyIgk_pHt9(RFuJDb?;jHl{gC2X90y_Qt93L`h8UOo-ze2Cf`NC zMTyj0GZWsqskc~2R^XFMs$CW^#9m6*)HHUT)0!z;)@wn&J>@MiO-}UdvBW6X&{Xmo zJAw~zT4Kp=%XaT*IqNXQ3HAbPL}-ea@&QPynegvX5BMm|QL82uEOc+uvBe5gp2@Q~ zVtv*oKR|D9+paOtUTt~c(!Z35Si0rXWX{*5XtAy~iR+L`IRRsXFCr zYgb{3AMxjoJd(&KrIWX9y)OAN`ekbJ39ZJO@^!f;Zco127p-+D1q69rACC;hxPD(1 zTdXT!q+XUJG7=KP2g4yBjWyjA%1ej!QSz%^>gRq$78!aWRaTEJ+b)Tra*hXnoG*jy z%up;=HjLA2b-59-W8zfT_1LV@LhDF4FfN}X89@yW^#Az&Q_yE(7{+@|reL0*hMx2< z|M{^{a6%J}5V#Nl|8PdXe*SFngEVBUkT+_=r|SG(S~%_bSN5W?Gd^wWMyP;JdTZRw z+8mqghC%vz;FhHt`1A+JTyJT`sdrVb07j`bhU7q3Ce0LE#7g#mJw`E+kF!LzjmapP zoJfbRs3JqNzW2QMQhK-e6CLY^zNNis@2Y|crzh)-q+aEK>8p{y)_y#*e7(B zYObF<&vi(Ee7x@3ep0bHUda6Xf^D^-bFyPg*-a;d;{00E{eW0XdI6r*Ggm^`L$!L~)r_eU zVor?;d4A$gHjjL*5&#Gc|I${ge3TgIvb1DPhUb-4%V#i+S+%Swq|T?N?dLCBA)UX6 zE!}iS`Vo8%fFkTj@u+GUwgS6#8vYj#_=N(72cwz^e=fcbm#0B?6EiphOBB3AtSI!C zCQ(%v!5oh0B8d&z*SmZXp-}n+GE#WN zawG*)h1nSI1LWK;VGDXakmQ6iaTr|4phPBJy(M#dd3ZwRJA&bps0z1Lu|6!4xIO6O zh(zHZp6knHv0v%XIz+HE(Xm@gZ3#H5_ ziP6K+t$@6gmfM59`|wXM1x9-3?9Kac5c`oexkHfBya&GIbf?9>VqWB74HL1ZKVC~o zsN0&6{5g2~=4CJrEq^$(&dMo%1XKzAB;ae&wB)p*?HmAqj`R<>8_m|)O^{+o4@;;{~o`*-FGJp zJ1xnd!A9C$A(0k4`L!S(gj(l4#^d$nRJ3HxW-A=^k_jQMR$dhc2HxSMUpwFZ`FH=z zcmMNu|Liw^55N8M@BYbe{;pK~mpxCYkjq%2RqN1ps5kZdDLbAq9t*Gn>7Rf1Prm!h z-~4xAIA#HJFMgFp+nl)#tFHg%?}5?(iuU}oQTKaZ0ZoS2c=6!r{N|6*i(k#9cKPt@ zRX#{7f`RZ!Vf|-+AWJSM+Bi5{VQAZ@PLzqK&))T!fgG*15u`7bX>2;Hi8j2Iq?Ojk zU*yflUt+7G(fjQ;Wyj!LMyQmReTVvS$cOBACjTZM?a7#Nr~(bTX9|cZcNo3k&dU<( zsZepRcM3)hTahSNxFobxss{xIF)IrTN1B|X`l6M5Hv*V&+p~6ug{74SxY|z@?PyLS zjrT-Un6uXX%T#ICQpsDfpB>AaMKp9B0$8Z*-dP%3k3`NcrTiT7HVCC`rX4~(3wvZO z@>mO+%B<;L-*hlmGD$=0J)eF^qGJ7St5D@tKJUzxjG3nJd_N31?(~SK)O{uOKvVFw zm04kCjq+6&V#PkS4)lxOTuE@c)b0L8Jg^kPK#i5Df{{rL{o6owxB&)cu#$8kQFR0s zp;QZ|&*dzck1)2LcH4`oZxV`Qv}%dn0cgVxxvm`tyiUX)aae^z>Q-q8k>o^5Hx`YA=G!#rmuAqfQtEw;CAs2~+#(V}_6@>TpaQ zJ6JpN=UgW@eXZ?69F2+7rMCC^R(tX&>a(+s$pd$;`|hiwpQudFWN`Z7=K+VSd*vSR zkT9*x&t33HZ!@w)<2&;^n-?G@QP$+t*`0gp#87YY;&Ddn-=Q6u5YFo_QQK$PtOSrwceMvg7>w|RH9U=S8GgkSK*@D zN`){rgwo!}?zXmjlm;?0(y}##{;P!IKVk?U^8==SZW`MwM*RBN4rjv9a5@z)IV|uB zW@UY;ZbmAy)w|p%-LCG0ZcEGuxK)*pDTAe^jJ3R{U3G1KyFSE|Vd~Ld4AE3-;WCv5 zQ8oyOZTCEkZBLTk3c7z1@6i`8_2F8N7m-g+0JDl^OOuDz^XsGZ>)-pFyRVDB{Mv{C zcXRipZg)H!`@|tZq0-(hL`1ZbcI4e6wB8w_dM@r1p*BlcC(KZu#_HB-&qVx-Gj;zH z^@+(&-KPzB4M5OV51qP<&A@B$&3Gri>Q6?(*Iw36fg_G)V=#q$@PiORbrbn-t2 zP!q;>vDp8CVaqpsHdb-g5Jr!Y^LD_d1zJ?7gjU%(?L zdcVe!8#Puwg* z;TR<|J{iWTFNu4>A&H!nv2CYQ-Z(_y2^{4RpJMk*-6$q9h)O9Cd(2b7a|Py3#OM|4 z*x}3u!{e!QRFttFGf!iP_9vMu=6?(}X+#hiRGI`%=4D}m1HSc?KVbl`FrwH`IiK(a zn_1L6AA{*J0)eN93?KQK??g-j=@C3BO{^dN;IAG=HPWdklH1G;u|h9(6_{!oGTEDJ zYjerN5RKAXc-}*7zfJt*d=1m27J;~XPdN?nq-c=%s=8zN(;Sl?5Csv%t^3|6ZvoRa7! zc}E!CvicV=jn@jmP%Y3+!Anl3%&|3NHLsn#Y$WiDS;cl6f*~>PS>9*3Svl+7#(CMT z1saqE>kwh{=-P9F%)b`kzd5VJ&Uxtw9AJvrk61c( ztD?Nai%v`V>4wp!T01XSSP$xZ`(=;Q#J($E?(x~N$t-o-Ca{0m?RHLI1UpK3?M`<& zaq+ofb9k=6=1@86dz;PLN$2kH+2`e9p*eh2dU@O*9Q8ePPTZ>Q@wn5eJr2w-?SAc; z688HtubD9G9w&^4ec)UfejBmFxIOLn`{BzwY>xRl?;Q2-Kz`gFou}h*t-iQJddg3a zOFDC+&a|gTM;EZGj&fOMLY3NJ7R;Gk@YzfI^~TW!Fg%?gdMvYniFm!82MzRRgN$>HRdQ^85_-Z3Sx1=sJ(yJO5^ zFT@tVVe}#$dvQz&%z*kQclq%8{&8UnTw2Ve)#cIA1?&|~gnKjcx!W&HY<%jxP}AgV zo1FH=9S-lypDb{AUtXP;>iyM`uc`M+Hure&gmKH{h_1BQQ`Psd@awPdb%X-Dv$X7> zb^A4zDpLf_5dq(8&cA7{J}%|4pc|dq*@-7hOj7y7_~ki-c6_?Iz{E~@QgD+5c;6KQ z097>BQIeQ5JQGG%@-x@9&zP0so`|M0B#VSC3^&QbgMOR5mhwe@hP6t+D@dkj&nLn; zx;Sqb4%~1Vxq!`*&6b!1_nmd=3SDd9_O*`E`Z#6%oIBOy(~+QGhvT+l&9!fzpSm{h1)0qOPbA3D{Q__B%uv9rXeI(0hLE3`Y;nidgc zaLNEGF2OnRtoC5J_S0IA@3W*2$9V~-_z}m7|_2E0~M}P3(#c{rK^h z&Gq9qc0gCzi$T|kFm|weYC2&SOxJUiAuM)$O=)tun=_Q6$Glbn$GWuJ{l{;xs21+H zeB5(aV3Qb`Q{5d)r*7?!-?aH5U#P@es^m}}%R~NBs6ITF&W6|n~;Sz_dNqM6gf4!u`f~6i;b;kS2K`f zp*r8Xq8pz z57b+He>mi&s{i9RFZl5K@t5pC^YI%8YejJ=WoH{JhBwp>sk5^~eLcaK3~t)VXN|!r z+s|U;qnElP7;<(nog{6Q{clr7nU^b}aPB@PHhhtA}uOMi*jbZspWCRmQn ztaeWi$9=vkn8vVf&SI0yFY`W0PAgv z>QK)(3BYwzZ<=z~6)&G;<$KnaE2VvD%JbRj`Pl95;xxs3=175c_r&XImE-%ur(*hD zx4g`qvh&i!5{v1%uD0_&K4OAi#DcG31a}fUdJ#*0TXlk*PFx)wBlXwv5GAbO{*wbq}>GY^an2Wda@t9fWBGBdy9TtYi{mox znYVA$>rMS~BkRqESK_5OE-|WCw1J0`t(+?y*N?DrbB04Xi(4TdF;lDS$%ZXbVvBvQ z4}#bElM7bPi@oh|cG=juB%HpZG-gcD`>KdvX zO#m}25r6Zq>gu%5iR4S(T&7l<-lp(uMT9!GnhiQdm%D27WX(A>pM}-kjmh<)*qWMf1lQvQS&B zGY^llT7`3F{k^6q`KEXtoM+!+%3zO1bc1!}SzbaWX|3ig$M?YyP#TZYQF(Glo8tVp zgH~?ojisBWu42c0cE6{B)UmVVyPYGy`i$7b5qZaOLjJVcb^gSYN{PLz#i2!IOLbmg zL_(Fpe1oHVOZQIoU@LEI);4dB-KDJTbNTU)l^bpBJk^pnk)WFSv6c@5^{;jL@E5Ru zd4k6lYV%#CQCUk}M+E@eho^Ek&Pr~bCEu;>#vwS?SosuaOYCf}5?6Vwp}Wu8Cs)iAe)#rR+Z8v8-G{$86(4`j7p=O{FypaP ztY7l=x4&BDAAkPsuk06MYd#qk3TFI2{QdFP+~-kQ^J+vR6;75{ZzIUpDu|ai&H|$?2-+ktO(+d`NMThftTX+*$57^ z+Oduui!wJzZU4liFtS#354>RI!aBP~VU^>k5~SIm+WT&YgCtf>!5EiKR$UU)+qFLP z(4i~Q2clzL%Ocj~#gQI?_{kgijZB9lZ*1sl)6gA};$^;KKE0mmRiPn}*A*WeWCPxG zKj9+j>~bvE=+A~(i?(Pd=JUm>Xl<->Sxva)GitaIJBI-hSir9k3V}A|kj}_X4c3gt z!T!hk*Q`tZSSvwPlJ3cZ5ZbHiDt0dP5oMk`h?r|hS%Ljyfk`A1a*i;TdACxnIExt4 zg=M@TaE<_TSSPG$b;S*HpI^BD^&hN+|Ljk0-F9&l#}R{Otej@+XC^h2TMcYayr#vv zAm8BBP-^3P^y{ivAFej6OIT43cIX%E+w8#lSn!0w$aoZi#FX!@RdwrYuLEoWlOW;P zY4XJ|_X~zanRuHkPofPB(*nbP<#zQIP0R})2=KAQKrjat%gD<6ezF3k-vwEk84F5o4DeA z+T~KR5LECawG zWhmW+rI`pL)GR#;*ozp#qI`yV>%#=;sM!w`h>~YyEWfL)nd~9c*jG?c9FiYTf*ua$ zp=7Bs%p*RgOIW$2N5OuKy-h?BD=vyR8!n~|KVfq0yy{M)!6RQaO#OfQZx&w3nkT5P zWDU-#DM?Mr)Za{q-P9{vEw^esLc`Y3@xxen6H|frPqySN*>IJirp>zNo9?ArEwL2H*olHq%0*Hx(c{zZ0=aD@6)^C=&LWAX;^6Rq)=CY930RnHpT`WvUd;W!h&ggSwInL!&?MMy)U( zFts!GO3Wa}ObVR4NWzTYR1$p;gRoDrfTao(_ciea#z*LwFUkT_>hO#O%VsnTmU$^- zc$l@#@QS5k)O*_1blOov5zdrNH8L@Yo^k@ca}^ww;%XYm^1&MyJ`=OrOt(&^7#0#M zWcrg_vWqq!{wJB|v0gnq;X*(^`5?0XM{FYWQ*+ew5)VDv6P`B}g012P-zOlO@fQUGBPi!+2%^@ST13r3RIk zw3$b7CVMM~qKY}eRJLq>AZe!c&9avSfv-GHLrc=}=mte99aPQCiENBQj*eAhrYwov zd(#w{gqux)RaY_(s8w{{hvc2S*U=Op*43I9(E1(83y3)G{u+|x$d)IxEWV>1;bQ&aeCVQu+Jh|fRPCv(B!efa zxjWF$GoqZ-3Qsj+KIGJk8#O=^9vc`=I&Isc{OOez$*GP_h@45TDP|XwC9sm31?c^b z5SHq9=k+fQK*j`YDw4>Ogioga)FhdDwlf8bt*S0~swOHF-(ZLr&Me{uOg`Q|G0{c4 zR5kT~WA9XoYA=l;?L=3aj4I7=;IMl*ZgyKr@veb&FI2U-I4qRQ7K+_8@m4_+Oih&( z!SYjQoRMo3BvUB~apkxb5$DJB1AlROAPV|R-M@o*5nUb=g(~llm(SSgF8Lmn%Dc81 zmK%+9m!`#%6sFSz16p8(+F@s}1VF$%@iTDDQw{R1V6=QP3Ir#AQB+J6$y;HTs;RO> zvk$VxHKJkeSgk3lYAjON$5K_bXQH)mzQI4NS{xd97pnFw$>BNL6cTr1&GUQGLKoO1 zZPVCmh@~~pMK^6$VKtv%^85)Vs^jvMIZCH?+wEt%Rq(oQ)C+;b9HsbMpn@IK;;c0j zST-eG8mr@+a@=Urr?1mP=+EWxIBl?CpQcuiPo{J0LdEq!?XJgD-b&tud7T^d>^H*j*dysynm#R+n4s>H>u(Adw6QOjcj=fEWD$EclulL_6`2}E$>*3 zZr^4j76|23S08@8D`ij_)mbo(b}D-_q+6`9r%iRW60I!poL^HPkCNW6IeqxWX;Zw2 zb`VLd&#k%*umL6SoFBU|is`l1i`(9G;@z`n>4fJJqDxM`ax(BUfJu}W2AUl7m%MBkgd9TgH&rY5%?tFCXf+0cI^;L+#YF z$Lll^oy1RqUbWAUe71PKe8L2T-Ib}w*LAhc-+!WfX8cKQ%*TCE@TvS&3g{3WTkSK} zspj%288Hd&rouAGyn8rPeOjt8vQ3KUXM3BMje1mgl_qd|njMDXx%gChuP?76xjs=m z&<{#{PpB%D_xH8(oS(dirQy{acoX}2`P78vsSM?xDj)I)ByJD9*kt;**Ne+V9oN|F zt3@Fd-z;>G#da%K7cB2CmdEJ@g}aMQpQozG&o=R2tiUIZtI9-<|Mmrw(mGy%PEHpS z3t|ltr@HdZ-ChlI&c*84cCgj4?Q@Cl*Z1|6*N4Qek5o}ao}iB^g_YF(rzi6 zBmO#;e1udYPMrt`v6akxdq%Y&n7+ z%AgDhfk4GbJh2kvwAj~yY3+G2tUBosDya|Ms=jH81V9o3Ilr`YTeXRdyhF2|bA!;+ zHz;BRWg>{kVdW6bVkv!^Ouxi$gJPh2sor#&RR6Hxfq2i#gSTa>+y5310+57{vVkO26 zpFPyo8SLw`Y*hWNrKf5Ot!St%auociy1Uc4>&&%n)h82HiR&&ZcAG23m-e&)-mC%1 zZ39xKkCJpU(7e6@$>`EpU772P!!f&AZTbq6ucqt#2xI@P7tHEUZ|e`^#8oalQ0~6| z%p|JkJ=nearT4QM!&woI!A+HZm??K2OqW5md?KSa0)kKvH<7`T)aU9I&ujH=YYn(` zO9%^Q-%x8by&$i2e?8w@>TonyvEVam_ETTE8>O7fL)8g`>#)0_Pi1WeI*pg76mMT& zuX<^4B`lo7$3w*k-*EPF^(+_iKc%MM&a2x_hqpCP-lx(4gXybkeP;wBGDXGFGs{fo zn~634V5;kKF+NheY}TNq_lY1(LUrbMX~qq$^2Z=W(7R}SQ9ohJWV)Z2Vbu5Xr5?T2 z#Yv*76%T=-+EA*+nY|!rAY>u=bF?hP3mQk#O|1uDR;~9rV;{w;VxK+)L&fp%8aI0) zoYoqCvew1PodsIV0UZ*CYMC^FaSYG4r25SkmeVio7mOMMTsAdSL}iqneRL!7g+)Ck zM3_Rzvi{v4ym^CTnDSJvxAYO*l-wg*yH7&T&)Wh!vi+u^Tus44E)Y6If<`@(}x9@GBS#_&;HmlOXhC<{j5xMMU0$$x8GCj1H`lzl=$$to?wm22|`GiOkVao2Hk%3f}=*noF1!+ng zr6786g(K%yEbtUTka)~SjITmPhCZdV(qc#jHj*3jyENl>M8o2DE{}PUPb^ioM12>^ zcf`_-{RHO-itfP;W?>6-Q`lklj7D1;fU_4rxS@QLFlQaDbwA|3 zNATx|6kjRlWdWpsX&T3p)6;+O(2hTX{){lA`+!s$zSIm!1ED?|MSO8H=~`O&`dV)E z9gSy+G@vysO4{FhoA1bYM#s!yVm^P}euAYXhww?#1A2n)<(ie~YXZE)si|Vgp#Py5 zsl;G_s#srlMR5`+IC~0CJ%aAWnX6sp0xA7HvOA?z6p4S6z z_KfpT;!FFfTobW`C?%OcW;o^@#&Zm91!QczW*u%gIZiL)Y(eyMW<1E~FCuQdkvn0R z1=hV@lfjjl1|9W-@t^H8bAbyc6XvJN<_0;AB$|fSzb+}mOa!yK!DFzVe!qgKcO8*r zC0Y}v|9*3MVq)|IKD58G>$BXo;`m*xa5z|(L`P~at7%}hgQG!pm4E5)yQ6*0)pdxR zrb}gQzqPlQ+_SPtK#&L@z!d=1^5h?FnK zuz9^tHYZqB*l#%iEb(sEfTKh)HH-jR;_%tMCcww3sO~jjMs+S~Myud!2p+=#1O4*| zMNmwjQhYAKlby<&1w&U)Ye)QV83lyH_x{t}+pU_m4H(KcC=I@}9l^Op1JE6v-%tqWJ6zx8G9{ z+e^pyA)NSsODQ(uZe3&OKeI-rTe{TWZ7El1iyHS93&nOfz$}bzWxytF zeJrX!h3!k*82=bRmmZD=X8bdbIX@LdH53VZ7#ao0qCADf&QV;Mc|^l1lW#_%SfR66 z-1cBpnd&{9-dQG5b!!wDOI&_R@Pb_Yp-saj!@Tc2LHe}q*Zbz$R^o&4q*DmOkRM6J zPZZ}`3=Mf>r31d7M#7kxzTL?1&72)G0O`g}xI{NxC{}vmn%v)hq};NgQ{9R2ViJF* z%QJ+ZCn!CXSPZv)J-o)!jw!rNnAa0b>Io9nTFHC zdvTbX)mPfjl-Drer2X-@{eh?N=7yFEzy;dwm^6&NkeiMxRD*JIW6A&(H&jf0!}PH` z;i#fTpzv;6>=+%zOjHIY>^T~FyZ73g-e@uo$z<*E+3jVMFHCV$+2TA5RaK+xLuyb{ z*T`8Ws?>qKdnc)_8b+^Sw~?%2kPF6d0CzG%nasd=BqA0A)^O+n~OGsM1X2AdYQm(s;S{7!aV7n8|Dm1H+u*&p` zdTsJ`*Y@*qJQXD-^Nx=2!q&_5TACS&iE-{u-!3hzQ^x47tP|_H}{Ai1TZ^5n7F54Sn}qo*C(}_@`9U4q*^3_ET=sPTHoxE!+dae&QJzEFV?j@ z2EI(i11oS-Kc9M*^0=v)DTEE3KutYs`kvcwO~R)w&WyR&>!*G(RuRMERui(rX|qp$`T9vGYNl z`zaTw7FQ}tynd!#;7vDyFg2~ksRvD^J3XBton~KS<5HE}=g zdx(Z?Z*iLeMUP~T%{mfgt`Hd4)grV03)S_ux!`Fh5B z(sSGA&v{wiSy*Jy{eDAM>^}bB%^RHbyOlzp-w-Fp*);j{35Ioh(IAS zB?vlpqR``{!@?8O?-eSRIHAKdc}n;7n$hOcCeRCQEaB5(;w!hD$fdKK&j9cU=MXCp ztOcBvbdB3_jUiu?2o=u9sEl8bD$XP;Ih3~Pc6@`>HSyb&B6WzGo`w$JsR9s$PV8CG z)LPu&uu`8T{go#X)q-;#;1n6rsZbpBK$BRpDPK0sl+E&tD9zAy(13dy(Ibi;b|jD> z`Ks=;5T#|B$aBPb7aflhRtnkCJq*nXQ!91ECZ?B?G%92KJ&I%H3sFfNvMeZANf^^h zp?D_X2UKdy6cUOmX2dHR16v?uY`-V&XMAsD(spqds)}O6S6fV}T}dn~=684GjgT!1 z`Tj`X)-aF(3u1Z)@Pf>4(ZYkS#^cZg=yWJAZ9bgnH=H zV^TgOP{68|42CDP?rr&mq5K&i17km9ih5HJ%h?{QhXxt{88yL;;sEMnN@RSEEV{m~3MQ zDnYvSoJ=E|J0-3AlUSG+ak~*^_WU@?oYiV=OBk5NxnwAgg5xL|?^I|3vjbp?4W;Q9 zY)YFXL@LCAApdDN<{UCgT9<`MbCla|&6rai3NjR?1L2U86WWV?lhfWjSL%!%oQj^C z#?gqBw;UtV4N=h~Loc7(UDG(vh29QC2~#5tMC+o0jcjtBc<6RCsRIjuNdoF{lpDdh z@p_@UNfwNXXT%9LWkQsXCcO!nZLTjr z2ur0(jd}kVPAZ6qgwPWhtx^h`IFajN*&P+9>+eu}q_V0(bQ%cUNsG8V_E}W>;ZQL- zSkW_gA|l>)4W%cOD9|-T>2v@yDpOB#Zv>@nsq2r`&?lsZzJFR&dL;(t@(98)9X(ci z!qLd9UWLs4F)8m;BTad&?K&YY^VGTH5%DE$n<+dV5Ox74|H(|kQXP1GX(L@V?;tA1 zqKpdDjm0*BT6aa|OCAw-vYc>p_Xg6b^7@7-jFa(1WImB}AQ}nEbjS0!e~u_pjEF)& znl4(Nj6yo$PM8>7_}+>oP#rG4)JChQV7X|zeuB8Bw3kfA4m)pXOX%Z#ftG=e)A95O zxXToPUbx zGGaQ$Y+E&javAnidP(dAgENaVwe`sn=l`a#`FMJ1%_GCzDs-m%Cg0Hll-#G8=UnRN zQ>)G!>!x1Uo06HD_QY0hH6X{7Wjtc3{DGd!Y6G(kqTr%~onLNE)-^HaRuvI(2Vi|2 zsySsj-mI6~7CUR4^kDa2^75QZUZ%dZJe}b4lUy4v31eK%bhJF>K!w$8Hn@4& z-pb&=hABrdv{U_xCQWSD4WaeaO^=!=N8UCmvtQg_!bu|V)PmmOSa(xQ&GRw0Xh!He zyu{&Br8J~CZS>yxoL4O)BIM%E!Ld1h`$%Z-u1l(&Putu!ZEiw<@j4VaoVzt+Pvh3 z5>)h_bN(eO0~7g}uh*C*>IOuls8S8m-&Vym-5JTmfg-Kz>SVN#R4O8ncU7wzhnd~} zhAefet{*V9GVd9GCQRmqGd{!d_{k$~{WMq`yjG>d{EzKTnF|)!T}`_!smz-j&Nl-} zfXt?NPfSL&E%4%bxuIBQpRem0A25u3Q#8Z*=UiQn${DcPFK8M{R@i##>fXq~a>pXe$=B<*YU+xPIRb!or;$SeWmny>nbXY*+*8$miHq^v zQoJwvWmI*1B{-v%QJuTunw6sJj+xyKW`xZE6IRkNj%`?&;l)O;+zdSAi_vYp9_RCE zJek!DlkHo;U2Z56dN}by&m^LyBJ2z7Z~}$5ys+XdB)-0vdSswh#g&a?*6`ECiI+t( zE#zz1`GM7~L^5pD4I^ErCwFDi$dtKh9u7|}W=vb;9E#=X`|rcL8@U&V6O;HX ziFcB?A&I|{couo$nVs=MO0pT!rCYeDr@^+$kE2J(*7^VQ$JPipSe_m8(SKVffHAej zZ(d_5=hAVZuhlm!WXk2%b9r1<1tGoVJHL^lzA2&#b^2vi74TFU6!=sEE! zYK0mjeW+RB_F&K$bd?F*bJdTa2Ypt7Yo7IYe$XQ+op#KJlCKZNMk1B9h=(nd2%Vj-5a^d#i~x5xa5eVdN~^@ib?1H)j>uw(?w zPcAgbvB+Un+VGUbi$$r1Ao@MAKPPUxW{ZMi?f%#xLx|*dWm6IH6`ZBX==WO{5&q6u z>Zmtm&3EZDL{2tD{LcySS~qsrj!2?037vzk(1E8yaJ%enEonq>)@?$?2Z2NOvU7yO+wHkOd?ZzJSc}J}> zDQ01Aby%~oK%KG2Urovl1{Oi$279QFEwYZp`R|$%3f5TUV z^{wr(u9b)FfY0h@5BeV_A>jSOWv^Uq8NDpeSoqg}@c2*cL~+DmG5Qj@llhy1;!PWOd3`q$ncsR^b3D%WBXr-wD$Q?Tlkp##5NuzQAsyP%5EZPMovsPbi~6iX4pHXSZ{Lz*j;^qPsUrMsIT4(Lw{^kq&gzeT|E~?713Q-jVf36)UQ^yb zkANFC&sVNs&pDLfZQz@b{#D)XmFri9@e#l4W1&O4q2lrYP9$K7>^#()`;@clQ`b*H*+VvtwQd3PuX z+>k~iaOWvgKhy9d+VM;9NTx-IzH6L7^O6^}McbpcGKxag9$HDJYfndL+t0SSiVnsI z3L@Pv?TPFe(>{^CJ8w#MzbQNzqbZSU3ieYy@a}+dtghUXWKj;N`?1FIlk=M6bXB!a znwP#-c@opO(3N|pa{R*0M3hb;EH4g15H2a%?db2zsyz2~rZ7L8C{cC(zgYTIo=d%z zn+RGpl?YUnH^d(j>$8S6n;(ovxZr!VPMq5RjvXiVzh`?vv3%${1jI%84GuP2x@Hy4bB<%ntO}1+WK)ty9AWJ( zOwq$qgYeI&bTV;!UgECHdk#;_D9>$J60$%8@^_0hcvFh0v*_ng@cV;g*qIgfhwk=; znSrQ1@u2;w!teg(n>S8>ESrQpDUb$PB;WE7Nc;-g+}lF^JTsn1d2?dV#THx9>*pC8 zx<+Y|lVe-Fw`EVIE55{lzdZ|fTgwEG_TgyzHfJzTp`#kz*j89r>YIT}#c<_(%^-bZ zM>zQjJ49uE5P&EVD2XtI*&KUuN>~E#A&Q(Vlv^(*=7Y)Wq-p3R=|dJnV^@4}#9@2* z#fxD(C!v!DUVsfZ^%9@{d%**yPnI$!kAXmOCLj$S>U)Topoa7W!sRbT`-}sO4^v)1 zr5M(p(7`MS+>m}Q4`JdEsUoHuRT74Qk0yFf>ORD=xarZ%+4n!aFiBGw@JX05UqKSM z5iI)b0o~wX%a4f17-NEiOY9`fD@Pl0pKlt>TJzJ3+&H2KTkJ-e2WC-5uQ&ez2bK(L zQ0x+EBc`hlzev$xA}L`D-R$+hA<^*@#x6>5qL*eq-QONkw4b+&5Oajhjm?UnaSxFP zgOd0=n1lUKA1zG;A}q)}Hl29)kqlKzvEZ-~vs0c2izXvnX87PUFV3b|;92ALCcF-AS^C(BsR>E`Q9=P)^=uVEhmJ;s}GI#4;PD3Xy|;S$-CzgwAsx zsDmz*5u=&<3HE-fQG^Z(t`LlJEZaYiYQrcUw@V(ellCK!8^0qOw% zGg_MMh9o2pxw=!FPKIp+pIeoAd>7lK`U1d{OW)I7iy4t6uDDqGn22Nsdyq2?GX(=g2q?&t6PWInk;7nk$<0Ykf6h-O286EU z5$6dfI(h-Qr1&qQvL*uaCO6cT5;ZY)d~!uI$~Z2Q5Nzj zo%m6tW{v=^Bn-fWt_9$n#V%I_A_XOk6Tr-)YK(vNFpE-7Kuorb)5Q090q;IU(lELV z(>*8%DMJb^ddLEKtN@RW;u`%%k1J6lH{mXv!gi*5MGyE_BAYo~!3*TF;A9W3D|7_%2e&YzKNwCDT?2(UJ#ra^PKZ}MOb@Smn?=Vh=UKoE5n$RNhUfb5B&nUwz*h2um(Z>um&+fO5~inTzY4I z#%@d>#{fD`d?6Q8CXm#j^ey#y9|Z>3BRNCq3M%c18H8G@f4mry1Wk(V0vl8sK*K^2 z5*mV04Ee4UhXGevpDx{4is*{gNJr3u{+BGqybhxe`92Y7q6e~*osiB^n1Qic z_am2U7upFU2D>Q5JNyQMFr<4a7HaXI4jImmN$7LC;SNYQSf4u}x346A$RtZf+c6?S z#to)N!Jp`tf?o1@2Eg3*>7?pD1O#%*1m!Y`BWe^xo?y53t$&+XoyAVh{^F)Reg)w@ zN>%SH?gc0MSIQYzuHEuRr6k@stEY7?sXJV#d(k!Zxu9e0QqcqkfoG@mnub-X?KocZ zZ0h5uXo4_apy^2hL(;&MqZy4-piVI`u^quoNkDB{XO7^Y3qObMH@~k^r8+tl2L0nU z`hvfee2RRmX^S0!p6pFY+?5Z%K21yTmPH|SGgV7fEt428sx?HeYLk2xydhSF_`qCV zXslNB!n*y!%Bw9*(c12Iw0fEFw#ITN00*uPEiX<@`E^%-x?zR`3_0soIbwGWK_+l; zu;gLzCGR1gHZZ>T-G^VCIwIs}fdqp4>YqI=*oxTt`MJz>+S(DTOZDMTFT|;re8@HN zU_0JosRvr!GCmTavNcvUrtP%*LU*~L10}i#HI*HRlSHAh@}D)1B1L`r@Mlb9=cH2} zCc%R(2#ZzmNPOGck&F(P4}V5xCemI0p)eXo3)RH#IDh!lrg*_TpEKpPY57zW-T2(r z6)ylzYvv24JtVmqcI1;NV=_{43Z{ErMO zAz2(cw@lJ=^;N-%wui$)~sDgD#*nWld#nM|J8HETA&8_VaIzt_|1!=FKw z!U%TiAeh$lV&6eephB2-40Ac>sv%=Oydtg%1GeK?W2TcDha2lt@!?lBI`iRI1(Y1i zu{-Jw5uA7_daN1bvMP%f^JS(0f9Hp9-bk30WKNLKpesg%(4yC$Svh6UCOB9*K6E!y!ys-7*Px9-b!(f*$ zs@wdf4_SGxLWMVjx0v#p4I& z!c2%odniBtyx5~2A?^P}cM>~Q-C+-6dbiJ{x8*hdD&K$jlj2rcd|gq$TDLu*z&N z5>^8K4I5Gx4CO(s*|p#P>Uf6k<)g0qz8&ipQ0nr)IUTY?eq{9A?~7TlGQUsS|fXE+ZTXZ-kDw0nI|Lcop09LRH$5BuP9mJnS1(w*6q)|ZVUbKVp6$g+DRf7Fj7G!y z->f%p>h7|x%{#_4y0~kYc(#v^Gr}dBPNlABCm&f&$8LgkcXs^ovr5Jo-n{7^Km39U z-#~3EM^g1-<%b=|d}{P!YbD_y(>qDB_6fsa^r{41sIBU78=P`fca|fSk zbE$v{eR<8xoH)soKgM)$IT zW5YOxiAqnKC*3sN)eHl}$nW1LGiK=RE|;Bz`gE5~jTK_n%me*l>_hkMH_(G#%aj~V z%i{4XZDeYYR}v?|}*#MEOt4%n>pHp`vS9B|E$yVJSgnO>*&=7LgG z80S3k84YzuKPgJgk_q3`Jnd$wGxCE}8Q=tDUn6iz6`~L=^x^v9e-Q7)cr=lN$tVTA za8qZ87Udi2{xhao(FhiWFkICto%EWSktZv`-BAmNH)gOdPn(jk1a&2i?OG*hm5wss z@%gxy#dv8O_{HOynmW~0kho2+^X80cbE%KVtG&+&6Qr5x#-;+6V06_m4cy84NI%Ha zsU#``PvMexj;Y>q78+}sS>tbo9E_^%WwJPthnPy0F0aSx9T0(~noGT5Dr{mU_qE8x zn{FfSNZgqt(0B?=WF&1Or*`5U!kjEi>sPqAHjHDW75^j7Z*{Ytt&@+P_`Qf&woGO> zTIUzF4~!*}QDv1=I$|?KajYZSQ?59D{Y0Nr)6DVDUQ4`0sk89Aug>OtckUR|<(Tzr z!YXh_tnP0+0!+(Y=d{JS$Nun(>M7@`+zhy4lf4+hZS74uBYS{W5XX*n*S)9g;L-1}i?vsUX)N&(Z<^koT z+vH5Ncq-`o%mHgvHFPwE$wHri>nX3b0d&Vck+pd|SHfODqP{}^75#v)FU+sG%L!vU z*^S42oBZAPDH~OBUvKWsm2jjpYLx%uA(N4~P%->bW4bwXN_e410d`i)bJp0%2&c*i zIfpL@j!7ly(l*EOl>vG5$~vxy-@_1m$i#x(*@^Mg2t1xZdoVVxW#&J619{2;lF2Od zV=gx@%AwOrcsws*221`cIvaF?^Gd(az)BhNTD){P!ip1R;xJ+hQaJGG7joM+d3?lYdnl z(@qAShTgMBS=x9yP&pMeSm4cv7xD7m6^{PSW)A30{}-WgEahZUuI)WDg13p@$yX6jICqx zD}9GA%E3feQ!fgMl1Gc7WkmTFq|IK-U^#GliVPe=+i15%^FiiFugwlE`k>TFK+%TJ zwVHX(wcCkLWtk6(=4&)$qbq9Q)xUf%;!)L!UF*Lve$?Vd-=8mMjy?iCYHRFKMhg(P zrm!u!tQOoZu3cydRJ%MdZI~8NqEQT!cj_Kg?jHmFi;5f|x#T0~d!-~EVa;*<^%lk|wZYE4pbqR9Yj}g$|GJPuaa*M`SMbus6>|J+7--4)z zTUu_lt{83SO&Xb#^`4t!No17*jA#nZok zg>C1VAv1DO+(HS(ot5Z)nWTyv64HR`n{7YWCS8y-z5%oJ033w-41CLAL1y? zV@Kq)LV)T(3xd$pcF_%2Ue>Gps>er)2nKN}S9VJIctQS^ss5tNVmJ1fe+pxI!5T^2 z`XiS@R1+H^zdy}{tl`}3eF^1U7Vi&#Xt2wP1%JBO>OsIE=zvWqNBq_?=zk+CmplNV zWuN@izWV$zH+VEoYyVmRv_F%y`m zl#LJr0Q^#CbgAZz|M187P76)TEarMwNtrl|yyZgo2 zGBMOx86@ezNI3J;b3AEN;4vt8OK;UJ1CN4Xprct={Lzitl18S||M8KSba4Q? zgBcs4apeUfT}=_1EqXFxzmT-urcl*Nw#7|Z>}q8f6K*aDOt2I76v7ZY&5GuZd>8d0 zOE6?EopU}IfL80kR2H>z@@N#`hx$WalI7Xf*_4e$656Y)^W2mS+u*NtQ||cs!M6ex zd)u{Wdhsj~J`7NRB;N@rm&1S&>|_esgQ@JXj+IVTzCbkP`x1mdW@46&%A{Q!9ewGO z@?L<(tosmq0@CFaCoZwJxX9dPr#2@HF_Offi@fZI6^-Bq!N*?)2-wVQZ= zft+c6v8p&n>HY%si@mM#J<+8#@wn+OJ)t58#ufoEF@hHw01bV`_xZWt$v&@`$lgA# zHw@(4XfA#<;t~^85M(vZQq zbfm`2a+tvSB$?KWtFXvM!b}JSmWnl%3+jSgOHJsT{IPtpAF)-O_d@Uef5g4ruPjTJ zA9VU-W=sMPmhgKH>FIk8bMEf^{x|~v2fQGjFfUn^xvO$lR%YG&*mY`yEE{7y_AqT* z8o=Z6Alp4Qv}Sq$5AsYKPa|>c2jeG@0Es7r`rhe&@Zppqe>u?Yfc#IbcX(!tAiIIEEeYOys zxg4ndeb%EOHvR-QopYWaEQx!fA;B2#f*y@9sq2ilu98KyEOackAvx)x=S@Gq%@kL8 zjVa_^02XXc-B20k*pxo&nc%z2Pbf&%e!@VxeJ*g?-5w%X2qXY+S}gkd-RFd0!ud(c z#V3qwmI^RW*+Qg>@Zqtop&@Qc_WMNl9ICXh^~3Lx2T{Hx8^F4H3vHoOhLd2f%hjER zUrz`KsfvE>=U%)RQT_%%J%wSX(BsHWizkvbfPRipS_8P{1U;$MBtrnA`QBHhb(so2 z0p=Tg7(TMv{)uX7UhOsYeP?a@`}>P2TRiVyQ2$7q48@$kH$XKFem!1uAb5|f3je>vg5Vdl^CDO0QmNF=^%55LUg2D zvN~4EWAA~_8TZ6OConIL4I*cO9}JnrqM{gKz=dQus;C-?ytkn7*wa1! zH2*3Lq^QKnLS(gS4;PEC$XMVFM1Sm=M)0=OsK{mkm(ycaflNG(mC;o(;~L}XcG55; z5d6pm#71U-Ddo9~LN*#nT}6L%CM9GBr7Sa=e3Ngtsq(mzpf?F#BT^Erp}fSI!q9tO zNOCfc^3Y3ZYB_mC*{B;8;U$lq#Oa67wue+H44fWHj#c*CVsb-E`wa71UN9qch(d3g z6sKy=ZHTGIxR=o@X0QG-23lIwcr;wF!!UOSW4l0W-*0dLAH*fpJfN3E9|WTdllj$; z>1^J1GzppHreNAvdS*5FnhFb1$`5(Yq!U^)E+&Li-EmVApBSNyF=FQK@6+lcXBW1Z zEazNYRNh)E74?%&j73{m4?OlIr&6l&LN*=WtQsOQl;*ZC518$P$hmro{;beR3|lhz z$ZyU?M^FQ-k(>)>U*{#(R%0<^GPc@NTI_NhFQ17gV6mAC2o^F<=)FPdVn#@)cZ6@p zcv{UmnFh2CJ0AlqP)_jnUL3M=c4{n(FGi}9%_+9dT1C~ ziUmaVB*j+un4$vjMpCGY%@$ioI#D>uB|Z+~JvV^tT%(bv%R#}QFj|neDw%i=$W}fq z%)_`V4Id2ah+Ys3{v3BpbO3|naPSA;D^DV}&81~N5w&p{|N1v1DwMj&9MM6=BDwr)8W`ig$2`X*I;Tr)R^GI&i3{{KxF9;3uqE z>?#(=p$1mf86k`feP0gseVwm^P+gcmyIE82*p&D#5oZ5l&`dnk55+ow*cW5URg8_) zyhefzf{hq!+fc3*hvq7(ma(Y2!IxD;Z^+{D!5JxH25A z`$r`w8atBl1L)A|^@RR;dLby>TnR6uTG zu0R#zq{7w<9aZ;OWEs?g{H;7h;`qLoLK8HrfXTr;(QRctF;T5XM?>T~BY-skxqgas z4?my?_@7_!`dR07QNb#7ZrAq> z=?PmVF;iMY`$}$`{warQqe3N^22_7RcM87sjxN@85*=&pxtpak_glxFs?NT3)Vq>% z^Gof48?IjY)KBKnF#b2D!)_Q=s}L;mYzRi`32IU1#JN&{Zjvxku2YyxW^k5(Zq35;6t}J>YToPbrf&Kxn z93y#uYbSat!WL0oV}$4XN|(GY$(1}XfR@~wcPO^)jpYne8p*8}Z!HLA2c4g}WZnce zU$bXb%hQqI5Dcp2hsk0r9E8LmC(}IKt{}14mnUM5zHvQ<8-K73&Q4a#%n?cOfT_CA zW$GQ9F~(nt0A_i_Co}~!h$B|A%6^0&?z&v95jU~yCHqlj;y@zWcdZh!Nn#?Bvl(Cf zL2}|_*U6i6N*m326F7_{{$NG6#p?vi7X~Er8sh}d=eMgFc?IhnA}V3QA8Z1PMF2=l zC>WfvtY|sMZpc{RWZGbE*9Lbp8n0O@k(Y3-wE$LU_ zsIALUpY8Y%jqR{A>rXHsnDw7fOqkYErXad*Hzalen{@T3A{l$;Pga8qdB^OGJK^ny zk2FEg^nMXBVv>pRFulBABiZT!sr*2VE^TO1!1%J=A~l? zuOO7&Q-f{S@$a07pE(5PtRUTT!RCY>SK5LOFHZ#f-jm)Z@vA940t3b&xG&>?@J~g> zbk?E=IZ+e_D?&2i{X$J3Td{bdxm69QxMFN zb{>O-b^`j-)SC@&4d@Zf-F`?05^47?*D+wS9wgC%TzD)p07#xUy4yLJRBHRY1*QM` zxfWwhz84J1#NcIDX6{7UpFv?WzYtyLrXpp2<|JI8#?U2v25T-&G5$#;$V^ME$FH&T zabkLc73l_=m5jP+tpf~!ywT6*>drvG+!asw3~C%}aHZ9^I&CR0Wdlux!|6mYV_|yn zQl(SQd&hQ1aPbks-jn8S(tAjc1(S|->K=B_9Hi-6P14g&oY3mBygXkjbKf6N`zF6U z-&arZlim0(?6~|?v~`w?HFSRWU0!fuOCw4xWGm}=fy&F2hPQ+B_eRmFPpU{E@0wX| z#Ly!vxst_qBP6t-i9PT-PP1KMB5!9+|qts zjYty#amymzA}_eis(6dOvj@3`x~HdSj~dckzB$t5Hg88Ng%O^(fP>O#V~HpLU4Iw~3ma>vPQW^B*@0CZhQo%v=SL%S*gG;zQ(e-Z?hIZxep@4UBIM%bhChZ3V-vKcjjO zNUTG!!u%efx<7OHuli5b`^?i7BdHiIP{7C5oMvp!yKZa11WyM%@S$H`GuBi!LKTT& zV66PpmY<&dbZ4KapZ@GyZ}y3QRnpZU;?QURpRfItj_Bbm#c{^$ym34~pw;;r<9KB( zES(bcapuY4GkAPN!R(|@)M-U*#@R_^%coJSPI@FQYA!{>ENFq@^f{;4PDz`(78IB9XXpLf*ua%f1;ERH=ZBMj!zt} zIjO}_?g|??kgK!Wy`$pb%uZ!D@q%TyzVY>+_N?1%HB9DnMF3{1Wxl(fb^#|C{d|0X zIW|Ye7W=QPEACCh9-hSpIl7`aX;+-9Bv{TLI-7WFDY)v^D8Pvlf^e?>ICr2MfyhH& zspCUUoV})UHA8`#a2q3>J9-Qd+md;kb?bz14G8BQc!9vh&{ZpmjaymXx=WSo{IkPw z3FHQrhDpF%75T%FD@H8eI4~B;?a%`r6NP&Akm}6+Y{dc3xG3;(q7b;s4`4mdk^rhq zzgj{ans#6^n+w5a%XfLg`fg;*^6tSz9`{#5h$XQ{m@X)y9^vN#7n;J5k*pXW6icGOc0c@_{Fe3I0b&LofCn z9nU}{f)k-FpgGdn*HUqk%nq|i;0?7H%3@mLf5nh|T2?XG zN(^fAzON3Fa@$Fif4}SK+}O4v9r3MzGfMC3MfCnaE>z?c#wk@;l@i=hkrUWfT!|7e z?(+?=k5hTLep=ERvTQq{$_OrsHRE>nI=}doxZCw5A-GVBlxNgd-JhSXl6DV$o0Id_ zJ8>bhgyP>qg>VB1MWGEqoz1OA!z09#-^3F9-&DkfyZzRyU3GCSBb{ z>}W*`yQrggn(Cw?8ZG+h*%p-ZYB|aH{fLENZt`?XIOvuZ)0hc8c&6jhhCikomptpX z0lU;>_PrC+hNR0`%IYJ7Q}|4-Q!NakASx#PT;!YlYQnTMkuU@m2NtufP%BOkdkKz& zeSxCbWXEaKyzc7b$Pvexx|@t_7NU`YHSaFwvF{-4Cf_-kni;zjQ`!$snAnCC-IUi3 z>d<-VyfVLKE*j#5#%eJTfZ7!XnlH)QR|Zc8-@4DU{4F0E4>hkthiMh3(`ROsqG5-M zDfVnianQt;f?R7&ah2g)ttP17HAjX>$2Yu~QcU)ykeos6E+*`Mox}dLTTS5T5jITQ zL#l$bHGkts5S6`9t^d9<9a&+b1qck+x`#!5X7_|gb87SMakxPY@e+zI!DzARU~)8W z^s@9)jF>}i-`&ZZ?7jXQ!6Pb|K86SvotR&Eb}m?Fp<6bS{1 zp&-3+z>O-3Yaraz!`KdO-){!#RX|u}4G;!jd}pxZ=Qw z$?imI^v&7CYH9UGt=Q^v)0YAw>PE3p zha%@WLC7W6?_ey!BGcq$#0*?*QeMJ7Gh%j5$E<;rAE_+>q_Af{@CN2nlOEX}FT~}L z!%Xb(&p>Z>IC15Knt53HUg8e4a8hsTTw<)WI8Jffi%sNE@Kh2(oNxVl58(hErp;t* zzjm|ipi~J1ae$uk4V^J%cb#wDu47-z=6ds!Xgj0LPc-y*d@bQU4TOm|E<+qq+DU{I zgLW%zuV|0GY3+|PAUnwv&ZkGg76ekVUCI2C+R*3qeEBoc55{gYB+zj&+q_;XHE=bd zsdkq^9Mr{SyI#Z1MG4xl7n&*N8=4d+>m_vp9at$7YL9ItR+{mQp)(P9N^k?Zofk?) zTyC?^9mxLjT+{p^d3Svvv#-OZt@jxTGvHH!TC~x`XSK^z^`q%3Ape{ffcta05p;?L z(YcfaS9`atT(!OAAP~#Z8xCNs&4vi+~%soO;QsubATK=7F6BkxXENnoImCHW4OZ-?igV?)^ zZMEHc&Yhb`*_W>CzA`3wyDEi(h?Ai;3+!0}s3}qFM3X{Q0|!3uqIfl^QYAHVk67K) zPeduWP79X0_+h#y-stc*kH7i+&F60ce+&3q$lpTzHVm6vNYCslr=!W95`~wyW&$!s z^ls}@1FaNK3-Nt0VfdV-M0G2I&M2Y1Q=GDDp zkk4Jfj{nJ@d+|czX7mGr7^9;%4#cmn84FIQu4CFWL(6b@n4P4Q+VYY~Zns~XN64PJ zCGrKY12dJ=m;Sxxz8w+}9eCK+4N>X0>8^%oZ(6I_i{shgL_<)+T0)!{k~2uU!5B8? z<)nv)O8C`bNu**qWI100V8$zA%GZYP_FUO{u3VUAjyeW5%akBb&--7)&I5J~Ir1Nzs$I_{X&~7ECSBc8oF_3OPY8~f9xAje4ae6y_ zi_j9lXm6g1Mtr^4{z1?p*NmeER5A*+xW5-4;7ZN}33#n9X{je5ZN#%1TN?(UG<-P*Glw{Eu1#-;0Tf#bvp2L|d6LQZuZ+w13Ufm5e z<-TaeA^J+-T(SN0BUFM~rf^GRp`!O0vr8&*m-;Gy`)l)Xq4R^}8{2D9y2vC==xaN| zPO6?uX2X_GVK>?yGM^FRg0Ab>qHDTDtMt*dG!+r-z?lG-T$AwBn)}og*TG@kj2yhc zjL5m-?g#ty1`VIjiwt<%(k(F`^4oALeAEkGGM4dz_ca8Q{t}ydv$@bWyJe7HdXOm| zo-t+BiC>E{>Xjcb6d28Fh*Bm%8aHan5=zO%*DycnA~C#d@m@B6MxYcDQf4 z8F3&VPdVQkvtqe!|Fy5Zc%d|R$(bdmWoBhf%0PQe{4AG?A@I^F2Oz-?Z2K1s@qKj{ zAE`iJd3qho#8=fETW2nuRf{E4p>K^JMDl^dlqHKIp5z}Kn)lXpqDAx4pB3R)gRaa< zc!{KJw0wFb{DSd^Uors_lX+rGcx0@@hw>kFE;oH59-OPmro55($empZ-ppYXElW?= zFt_@kauN-tdC9?;RC?9$>XYY`;Gd}sK=C}^Q7|drA5Ntd(B+j{Qbn)(4<}Q?fq~r| z`{gdJzD#LJ)P&uI`q2b1cOwndP!!rnwwKC&G z2-3Ejend*|8-?Q?G8|XnT;(5zirW_2GPX@xNHWr_yoz9usD+_m!xwXGFG_b?7i7ko zz(v6ry}0Ou|Eg3-FBuP|65~C|sw7HbC^r~oFyF3X8yqHq7z&D#2Xm-lT z!hzUu=0PAO1>4zlHGI<8A(b0E1Xoo60}-fKbQ~h8*0yGkJVrry5tUMgeeU+t zE0$yskNh}Fh{ZM%^X!4xT+N08nBSA2N_@BM6TLm0FoA6`Kte=wPESXkpQw>}DtDg* zNpY*=J*0ZH7HYm9Bn06a0Ve$SPnSQBZ?Bs$;%F zmmY^Fz8h9(M|NN&6NOO(1_j`rA+VK@kXeeyZ=i$q@+K)8*k$aSulnW&VMtqL1mhUT zO6)!{2Xb0-M~>89F<&5YE&3mbEB6HGF^+K3i{xk%u}U=a$FIhBKp_{ozAx_G6S;UG zM-8&Zh6Ksb5CR-=yy{k{x&;Lwps6#`al<(s(L^6|MMBawP87uD)e4|5L^ORy$0GN= zvgtZX*wY4MrQhK6<|^cU7fXlc&`2+SX5pOaj?eq(sY?P7&p~;y@hP?=xf7d^k2ZZF zDSz{7M>XzKbNFC{MB3KJ6SP^$KHiSk9rx6M@m0^;zY%3MjzXout31N9U%kQ0GLGUo zHYfhZ^5_}@7C4FRDh!uSsa^$c zwCmtBE%TbetY3Zjvs&>Sg_wO=bOF`r5(#zTZ0`H=pt|HFo+DuHHMPzD#1A~Wtz6oB zaS8o0{J=7r9U!r2GmB5qmlFk(DEgAU>IOUF1nj7*&%|Z&D{=#CWF~&`TsY!j)`b{4 z{PSI4$QN{Z$6t>MQqu9VK)S;qdj&T_WJnEw#F5UI0Q9wj54mmLJj&O}v+b(%($Oed z$sFY80fXEzkh&^zvU{3kXMpjFV{h4365eQQ%jB&|Z2Z4JEr+`+x1!0p?aFT|5GNtW z_HKF?$?Il305wqxXYN?MJWuFHm#jSCeC4ygbi|5-HL1Z5%NA!a`ZtZfONsOr&Kh}GCt z$}{ijd^Zlw1CHsyqApyb3+^3G&OI@c{tOWZGZcG8$LnL?rRQSN*1kBlOjb8*F7%xE zsueH7Zh}@|Tj*9`$FT|DW@an4q}w?%sUDx3EosrJ(#H!-hS_jJOv`lxp`EaSaB3hP z#-J%*n1!|K_NN}E9v{6`JLW5E;^X++ihs^^gFzI_i0o$@?1}~(N(p_a(1RgRmHf6C zPjqWM0jx_!epBcMB75Dy9xXhk+(0FZC)WC|Kc{;pART_0x8yQ%=eni96#7%GW5C1{G~br;CbtTGSV$I@(Z7|q*<)pOlG^m4ZEjsl30bDWNd zMr#lm=g^lJ9J4IKptG9v)D>&F!{}W126f+A$%VV(;#QJ{s%7-CBZZof9tZ++loU{h zhPTbjA>UdJzFH0L*r_0rPQiqcA&;{-jeVTYPtEbe<>>7j4S8O~hJ0^qNH06xP)b*dgMb*bE-M-jUW5hy>S!SYA{X9VLQVn;Evl(eb_T^tJh`)v&99z?jmhp_!nqee|#SkQ6 z={02>DI9{c8p0qaiq21;?v5#M3u2jJw?Bd<7c^2FiRYpIViSsdcw_H!99eVTD0QJf zlRC_^uV;DOVvhKU`quCPxTrre+xx`~gtxX3Tb*INz}LL@q(L`Woi4MrJ~TOfBxq*T zM~hkWC8K|*4!F;CK=x2KTy?-+A8$8=PJD^;a$i_C7TTxg_%(q=(lT9g!@aSg+n($$ zzDr~|_Qjqtqh-1u&HeG%)5D$}e-kSf2cc)*XwDV!_mXMzD2hl4m@ESTpzH=1%{eHv|MYuOLy z+ot*QPhInH+)C$69Cyhj7q53KHx9hjnsM%eD=sQEVwf(XPtliZz7^Wu^$z7miPBY~ z)eaReSIK&|MjeT_U^}9HHsi{7v6E1WjE;_br*8t09P zjO=hJmVrOt<7RU>>;yB3q07GsW3FEx?IJh9jpo8gb^s?@%8gPsh9>{bp~=|>Tcx|a z+15pAO&?CH;l}O_xfO-U_m@l#Y~9MAxwXK@eQ&wO$GvZ<@7@s5AW>60t-(n^M^=uD z;1P!>jy#d0BeCGHEVFqd@hyGD4I(wPa4D$62$h_UOdO8AGA(5cqv7?k?H?$+&0a7^ z9?}-FRK21loXN6m+okptzq)+7b_L!F6Q#y?O;|2ec1`_T=7^*w*N0q9NK zyILo7)u!sC(w!et-dLn&-yPI}p_{lNuHI+^>Xn#i+rpji*JhVKP6nA(*88Gc3g4{_ z#q+(T`sznB>6@t(DK=-OOy2C%$BG)O0G_lJqtu7ZI`MCu3QQ2b(3-qtsirx1;q`tc zJeqA)pPDi$D>aP)xK|D8tA@$a^PSm@%!YKRn@xH{9kS#LGV0J) zbE^55jK5P2|I@E&FGA%$sGfbVLAay!)&8#JO(I9n7vK7xIkM?U%3Pb7V0miC6j+0+ z_aUf2gm9}b#2t{EUOM9_hdcTlt)KAtxY<4y`@XeQE^fBdp-QPi!0pvT2>Myl@u%4B z=2h}4vowDA;56ghdI1riCk6aQ@W7nCBcv@6?})y3{dkrNP_y!S=!)IGleQ!S1O7Xm z3c3<)YGHz)K-TExLvb|Ed%AyGdN8`gz;ybs_xJbEM@+tRvl%n(4p_-`HSZXGrI zlTUTYP|yd!iBvgpspnBuL2$vS8V%p-IvxabQK_i9ykT-_ek%wuw<;i(u%4 z`gCNFlSD(oMeFNgj%TzA7eiFq_X`SPG&~iiN#Edh+2wU{5!oGGZZk+`5E>n3yr8=g zFZ35x=iiKd3p}Y&EYv1h@HqWx}vI2Oa8=`{%{&_ zY;=di(X37Cj#L6_3S(0o3SFZnOR>+@^BL`b_Qi`#5DFQI&zw+9+#v7RWqN8QAQi+~ z1AE+2Fk$zyY59DO${(=<5xS6hX5tw1LOY~C4KZ^yq_=C&3r4CS$~j(WZ0L+gXlK4y z@@Soxw525W36H@~jJ_d|B%1b|dAV>X7e5!-Cuq%8 zOZZ?Mh^kDW`UVq%!MeokmShNf%tBTR3ME4ZSi<*Q{ib8))V;FSN)k=Qk5m~a7T^Pk zNp0l#a_oVQ7fYEW5~v695Z$3N#um+o#*8T>WqTgO>K@EXUJ}o9!Fo^k+H-6WBjC9C zAX%R~3m>aKK`oXt5};>j=h9<(QK;oOr**$v-5}Iy90bDiUBd|XFq}6@Krb0$6x*>b zrn*ljidnf>GnCnv41x-g8Ljdx^M=m3dTP8li9IDdd^XO((?zR}8bs`e7{lShLj!}P zrayGw*4=mb7Rj{ckHmX@Oi!>+J$Fva)+4YTJLW{v^ZY0Wtv^n-t$PpoLm4%Z=YnB} z)?$>lnt(XqBxT|!57m-D&dx$miN(c4N`B~~|B~Api;==lb7Cr(_)^YsofurpnA2fH z2lfl^o>kun3ln=N83(a3WY0LKCDf4i&LqswsN@|`e= z(J984RQWMSUk=v1@9Yj8;p`}MZQb`WKf(Ct+k{MG>`Rf@c0ouvJ(uZ*-sZf(SB=pp zFa#OL_e066C}Hg4i0#c;Dn56v6-DfnNHo!O8UBS0y|L!v&;3LKd0Yoth)9K6v-7<~ zybNtC37Ec#$zymgNv~>WU??5%C=)IxTSHIrZTLu+qG8#FjueW6h*_X`23IZd|_)aQdTg-S>2(;9!plc-#*yf=@!Ij<=_xB}% z$W)7dLg`OJhbuybPo#SsG{b`SiN-+YBr#n*7%a1?&om3>`wZp>1Y<9tToycA_c?tR z>3vNDYgUrDuu}g}`IF3JAIv`o^AsRr#>mZB^g|i6a3p`G5VU216Kq z7u5ql@r!2eirRtEP;L~7c#~H=EhNLVRpvzQeYzaXm*QzCk=$5~@`o{Go|$TiXI!KL zp)+mrj8#L2ur>3V?o`v0RKOBmy5q8~rfLxdRucQ_YTi^W5SPhSH{Dm5H%g@>oYj?J zBIxKC*lZnnl9?~L6TYHtMu(}s%#}BVdP(>G1r{7S9gdxLlrLsmrZjv8-l#VZcRtQ& zs>0mCmfDnbqEj8^9Q}b2Z%WUEzVr)p}VV&y79%}^R)~Pn;f%|9z zCH#2>$I^jQqNZYwv6T$PT^uQq5E_fS^WuzlYSN7)xEMzfs+?j(y3%#Lc^%)HApa+J z#W6Mq@j4tT1tYuEK$h%6=Mwt1h4U)Yr1-+&ZCYjoMB(kD=CJL>%B66qGtG*)`B^%` zUs5fze3GaYHt_p4hs>NIiRAL&bp$ ze%~}{zU?MbCo=4BPUrwfs+n#`MbH=C zc=4Nn>9$;E8_tXB39al237j$eL)AS&In!}JExy7>DgD1AdfvOaeL@W^ZwU8bwQ0YR>)jKB7OPasqX{S{Crq5dkR!giVBap+6|eD*L*k7ahIyT~nq#H2TA(#>w2J7s7lnxfIS;HIdz-s7rnC$Ou28 zrHa!ona^r_MvtJRr%E~zL`R%A%9=?{8ZK`Y+(tb`g&+&s6Rdm8&s)jDENS zJZevUMdw5-GERBc)Fy$-o~}9pC1)%N8==GVAv>!~Gd;Xpc?Lm{)=zG>YFe zN5xbe`tOC>XBaktz!M$QUDea)?y986_(GM1ASG(oK^xDot~l7 zigD@QG4#$2jXg1C2E*RtBMdYnL0J`~-C92Q#l#V!6p5!T{!=C=39Rlb!$>b@$3D z`$KNxxT)%%7_R&Dzzb_xfrP-Y6$&GkLzb7Y#%ck{8M0hTVxMZ)3TP143uA933X~4U zt{b^>^u>G~7`x*SLE`935=vKs8(n!x9I|!O(YjFbO2HGQg0N0RAr+g=O|pdw8U&Ga zA>oU|*oANk=RhZ7)d@#+;(BPVPea?$#M!QTTh){^I3%?p9bu6vPO^Tmt&KzG15?5}-9TT-w|?qUMTbIMC!**`(RJlz5JhQJ+a zxMK~;AZ0D=mf87gvMx^>Ke}QL^U#i*l-b{y;YTHsFEzI_&ARmG4oxG)E0)&HB_B= zoJ@P(Gsj{WncTlI9YsrBU$QppZ3C?7zS3 z*~dr$j(VXDqcZfCRl~8W^uv;ebyY|3FOz^M_5QL_G*t4IA|Zzsb}ruyu_;Qe&>m|g zmIj(pv6)076t^asEwBO$DGU}>TzjaZZZA)H`gl>2N3_c@AkV{P6=$d-QjN6?tAQgL zmPHUkxs_yavr2MrDH$Mz&+~~Q(__~j>NsN^Z>*zkz#i+8!J^~z`o5d^mSjAf)$$iD zxr3YsYB70^3`y!t+et7Vk~{AlG2;?!e7efGow(spMM8D0bH3St1&NjfmlwCH%DB$m zXsDuC@LA7X;pz&E%iIq_PuCfjxtpxEtwRsdOSSmeY$?Qwlhlb*Ezcfnh5GJHEnL0W z{lv!UqAHF1gEwu%>PmAqBw{Ig=%20=8UNwe6hJkKrMsP25om_+z-7L(+=_WJb};kl z9k?$q)?+JpI%y?ix0P5gzrRnLx>w=l?r>W^|GpCiB-I6+>jHIoIi8BGo_6=T1^MHc zwm8YXu@@^MMb{PkG}CeX&NY#uJ&JRh+N<>?`&BD#et_*Szk*tki3F?rUH58O=}{ki z?sb2tj>7!!nP6osV;lb;gB5ca<9vs+#4Tq~Quq#JFcpa)>p(ApJ`63qB}y$*Vjt_L z^tdTL>m`Mfa~C_zR>%D6on*%D-hH3>k(C0YN`wXzn{==+FO^QmJ{ii)-*#t5DB@fB zIWHw)>OcOqu0E^8lUZ{)ScI`7E+fl&u*|GrNUq!E-4!SWiureui(;YG<|VIj%=F!V z(<#K^9z(zmzOAjS{mfv763`HgD4c@j1v1nhauqIMP!-$a3e*B-Zu?BC5TnfQzhjs7ZW>AlM(3Q{ONDLcmW-% zy+GYOiX~4ov}oI25O=n-KP$mnIG$Q&glhLp?0BCF{A$UwH?3^p3dx#Sc6v+@<+o_b)Hgn!4YkFxZlcd=&0=fynN<$WulAx+gvsxWT98^JSV=X}z_w98vR z79|r}v>+y^ni(svANP$1tw-kF)v3fDuwME$Cs1K-^3km7VC>!KPJ6g;lb!K8mYy)gq3Q|xpuz4k za|68;%i;!+T`uplXXtLlZm-C=z9AhC;gno<|jcww^6^G6a0-uSTEq2$s6!v0vbe9q3ZkMBoJ zjf23gWmXWAXkFjr1tS*uNQNN=Rl4WjHz@j0QH>6V*Ci!`ZqVyS*V&2Wv2TmdZc@V* z4UIi_A=G)--yrwMj7IZenvXXKNnYZ8U1#SME9K{Z{^viEQ5cqI-1E)A6mP$et?jyo z9G+Bp3c?V#rQoeVC97^tzPVRV-_xk{2RFNxh%9YHSvnWYb^J%7=)DQlJMXROt44?B ziBiR8~R8zxT5$BE)RwB4=la>^$k6r8vQ*8U!%l*=P@Z~f%gfA7b?_8lq-TuabT@~lR)Dc!l{0v+FU zolM?NKxi+dAaF5?22T4Osr=-Jzw)tEvcAwnI{XG2pZ|rw_6!Z`rY+Hy_i4W*LIqF} zIp8-C`Oy!4_|Zf@D@H2Y{U=2(gg*a`?|d|&LqGQBlU`H#&5x#14tyzvEkF77zw_~I z$%l^Y)M$SEmwxA?iM$<0vv2iie(w)Hn#$8YpO~vU^OL{%7rz3TN$9qFEp>%Ar^dIAkkD4U;s` z!mpt8`7eF%t5Le($4E>5Aho~n=f4^?;rl>MI1g$+{`>#sSEII@^X#B`_W3{j8y11F zU|$SXx2Ve(tNXg%GKDeCKyQlFXr>CJ!q% zm-+j{U;F)!B=Z0(Z0ZdDAeCSJ`!h~&8yIN>?Rzhs%hVg`$&Y^UYZULi9L0N@p~QWj z&SuW#lVP z;(_P#0s(q?4ePWc6gZ!PsrN~~XjQ~=mUSGL`7GXB2ga|xYRE@Rhy495`Rk_KkkO^( z`)h@kYiw|+=a0};RR4IXy{wcTPy1q1@U};=8a_4Kextm|&2LMjX)U>$6%REXi@Cp# z=!{(bx{=9DGH+Leuc;B!gC)21iMPSJ@~LD)Op>!8nykpREj?Zw-oR-Ow39}Lmq1LB@cx|u|2%94rC12i)Hzkmg;KSg&s?Qi<&O2uVGl9(#jwJ zzru4?Z~cA6dsw**kw|4OaZ?H@l4Q+xFOk-}T+t0^li4e};>R%1<(o;HriTLJOGC@* z*jw?Hn|D`g@~WxI7*zb${DkR&Eawfck8e{~k55J0=E}db5I&p;Qu{%wuKOG>Y~5$k z@^{6Cmfw;Yuzza?Y-pRC?PfXZ#sSovDQUhA9ea)XmTaMtQ>`r}t07JyD zWY-kks?GjZg8Gz zcS)AciL0jVSCThCMLSBvbNpxJSmlIngw^Wm#+|8gy0nzMzhX?1Jm))u|J{t}jS;)+ zt|hOg_YNEiL=b3)!MnBxHmmj%BXFno8Gx$YGKZ1VQS`b8{wwRD7H>$&)$x*<(Iheq z#xZY;#oIS?lQT(q3r;PsV9AwBwBU$-1gEsMJ+!8N2=dIK;apGTTIUxsKsmuW z*BqeR;)?CgitVq>Wxvsn;;9~c;V?nB?uBavvyF|IG;?R{M7h4|Jx1=<+q68^0%sQ} z=^97NZp>w4QGDGc@7f_d#?GR98@2*5~`GHZzasT zPD-w`q+iwYaNy?mBFyGF&#+@==|#KEsZ4e4250YXe_fRsNF`&zS;A3XP0?~e5Ewoxe*iyb5Qj(ZNq@X~qi9~Z%E26e1xCr8;qwW#KKfWQ{ zdV5`?$?4#FT~KLn12rt+Wwm(5zk$cvbE)kZ_i#LO*`(!0aO|IH^=4t^YjZ{ZstdpM z_3H%c&`<9r^HJJ#@>;5O;Z_Npfg^VGzGG-fO&@u+n3Q+Pmfbqavnez3?Q(`bLz{=< zg3g$ScmIGZlW8zTROz(C6tU+#HD6Y>sorc~8O{W|F0X|0(9FzlRIK_2T}X9XO}}~f zJ-#X*-+jNypDf7+f^C*B83nYy`|{o2ek^L5Y4W-w9))~tmZ(H0nW4hV+ortLr`5aP zJ)wuK+CHCPUrJ*qblq$UB2samdx8m?RUpjZ^)B!6!J$58`4uo{DiesugF( zH3`(tnj%|LS6P>ILP!{>Dk$(skPC2Y#Z7GAP_lNl$^-&J;^nAaIpbI6YXiRtR=zxe zZ&Ug^QTJCF%4Q-_JaU{>`p6JC@x9<9tRw+2^q3d__%F&1#7oCe#g+%+_J@}K z`q#9$D$shh0cy*Q_e1m|rctJ#`<0h>!pt*uPm~vC0n&?-pJSpLA_Da%L;KsPBsWmI zvVM~m^BT;GnuKOfS>+YfR44eDI)kUHGgR6WDXSph*WhyeFWjuk`AEASD{4rN;WHdUON3D`tE@@)2toh$0|vIlDuBm{)h$lNfr- zeQKVem1H-%@>jm`zWhngq)Sp^1vu!QO>$$_45o~HdyyY$V4y!s-1=D15pK-Z<5@uj zy?vPqDH*CMyTRPn=S_W)WGtdnMADq^tg{~lLp^Fk&?5wcZA2?$B)ZhLf+TccqAWaZ zq~4U$b<=NQWaKJB#?{GyJZRqTEV-j{EN7Ls z#tE&+3nG7(W=N-E(jyb+C!I8K$WIfHB~jqG{vwA^IMkCDH5u6{-Ri&}N!R1qR^Vfq zEz<^h@8!tZ6f-Wd0y}p6MTQ{PzCE^5PaRqdY;TnfXq2xdSlo~vin#?tI%>{hi2UaV zrjs{$f*?XS(0Po{H6wN6AxEY42|_!zne%k25Eb#MO$?@btL$J( zFl;Nb6Eybw*e)jr+rgbmb{RrZ6T<~R#s44}qq9!?ygaR=ZUX1d#&-0^iS8KN^Tzk? z;?O)d24hU<0V^jxZ~6Ciz00c&HLfbBlN^_d5Fl{M8z*McW)KMPV9UEIR;EjN`?`l# zr$dBfv$6vBjzK|hoaBy(G^`Ur1*fZ#XwEnV4>Lzz6c1cgoN-ET{OAsAica_~PRs&D zDkg4knbE!0j>pGZBRVRi9_{5tZqJ3MkUs{28=gRGreHSOHT;LguB-@ZPr^J#-sdG?+9mOY#z@{ zfkG!wSnNTx$CaenIB@UX$tsg#aOXZjY>;%EdN(|q|@ zq@qt2r+oLyk_}tZNcL1aNM>Hu@UTy8G3z{lwv3^;n8!XnLeCzQ6a{UUG_un@yo}@wi^d zsLv&(8)=f*BYU3e$Q4}tmyVCY(MeZxDs;JFEXd6=1YsA2>K(hUta&OWvWY#m*NK8$ zKO*?qg4#d(IjqEC(W#3avy!ap%Khch?9ANS=K|IGa(g66_4{E*=ylAH%8W~+j9O}< z#HZSqgyq|JVhG-w;vqn^YJDFB2}PHg6_P-GT(s2&!Zi1_-t|mX581ApXP)`yoWrDE= z!=AfbKbK;B${x);>ZHhQmRWAnp&oS!G#C-S50*zsfg??=N34iWpI_00vak{HJ5Vx9 zH9LG}$qE%Rai->3wZ&COF>Ab!Y4-&-i&5z*+EOlONE=6>fWsZP5crh$KxBijQ-vwC zf#*9tHmve*usc&TdUDZ7U_npGE-+gOJxLHhk6!nD`&MbwY2;RQ(LT>;Oc549-wp}u zq3v}f9a{>SuicCJ!pltN-XeM*JJQtJIeaF<8m4$^${PIjP1wBz+1lsEJwf0yENDr= zUMu80%3o|jJL}546V8vG{_UwIeEWdGOwV%(Q`+~9yjWl&36R35(<8AGFB0?YkP}(W zY`xqP$Z5VcZ}&ZI^LB-(JRZ77Ml6_&91*IHf_&cBL}@C8EV`*S>N-8NUrOqxJ7nmH zm=~dpo#Db8+QEyHP^L^UsRz3VrCD*Hf^A6>M4lx$(Lwxk)!eu^lp$R@l4jApnt(ed zCxQFIQM~+N1xup7BCn)ZfnZP9pKKbst_cn$1Dn7TZnX_`jZk!P{No^H zfQ;G)?ybm@M94hZdq~oQ2q{*r@Nf{)XLf_}CT z*89m0@hc}nr{~gLCmGdm+w+63xis z^%J%;+AiE+35(ud%0~%3Bl26Wc(dsR-n&Y1BpuDH-yYaYm~JXKfOZF_>eyzyZzJVE zUp{yBc{pA4`^Eb*{|!{jab8 z4WQe=7&Op*6J*ixf;mwRJFD%X3uAXVt9uk1sy1yQQyJz>e#)VXOCIpzR6pVi?W9m- z+*8dodz1(25BzPkI0YEUfX36jAPxcA?t1J|kaE6wN!y=Vhkc)=#fIpaIa`xJ=vgA<}yDBet2!&&ZNy;X;LkcL@f#W~&dypJ7PoA*TbUh(XG>~7P|6P6XM9-9q* z%G-n*B-Lu7`w6s+LC6##_4Bj-i86kcdvDM94wiORFQcQCuOAPsJ)_1-hR0$r%TG{` zh{rZ$jZjWXLtbdPk}aCH(|Nwhfx{EmP(N$v=hF7y_dABNz;+X@C7MLqRPl;{vp=g z`$k0mh06i)P3C>vb9AGQG#XfG-$37*Bdym}%I+{EW|ycC8CnU>f&m>h~;!kRW+DAg;F=Or;;)+0+8jkD}%MuZu*9KHRu2>m+TxrApjMYNf3L9V??S(^2|Gm zG~;n%<$m7s2~=bVd>)-gZn1#=pOFGAwjwWa`6wdM<#WPshp}jsIjcN38#)8K zaim)hjnLDrM=Q6@SfF)ovpu}oynl=P*Ud+^=V&)3H1F%?lbKVUG@bZ2n~rZbjYGYu zC7*y`#9^I^L**^^y1?PSAk9Zc80h99<#U|CL}7d09KDm=?1FpUh4A+H{UFgDh>b8D zIxxO?i|?2-6T9oVpUXVQxhO#&VhRfK|m+~ghJ$p51|I4(Qcz&$gOpGuYb{1#tpsb$4dG~(Z zvVU`_MOQ-M-t<%UJsaD*t$GlRdmGkV&LE3+fK447cCSZ$L(-z<*n?Nr>C#}Y%!XDy z-g-!@KD4c2XLJ3TH@HGawVzwvtHF887O$PbeUGV$q(vOf!-nRD%NvaR1zX)-zmx0Afv`4(XO%Bl1QZo;io(*>*Cg>cn4eAA4pSwZ}1gMl|eW*xPvI z=Q?Q~kC1qVIl5x??R`94cGJJTpoq4tn)i)=8-^j+!@UPOZnfp>4b)IR7hkM<+Ignn zmBaE=s%fi0aLn=M7~M7xP@$+WtDHqyeyq2|Q`uSqIMMJ)UQ=1ub|vkgyzUpwiZZJ! zE=cdI%M-Wk2s%!~1Ic+E?w=(02Wpb^}aC1Jjwed-dD5^Hx7N zUb<-!yBbRIhDieF9gg2$HB#5-PzS2+(tKQ(nGs?mNsV}+zhqPV-kOQk_Gt9N!|9{= z>)7KX`H|0P&E=yQCHa}shKNU9dMWGmKhj(rG8}AiF+70L=u7)z-4YR z?^0PPXSmb8hFbmBI#h2T8R_|G$s0E|Z%7RE_|4YX2uiZLu3uauALxWBbzDzrm*U9z z{yI;GEn}unL~l~XpSpaTn(6V~_XJF9%*<&WcI=M5B0c;5sm(Mk=QgeJNvq|nykJ(3 zZ&m0?t7=p6x>Z}pa~zJly&7gDXUy1>;rpj;tqDc93EeZ`QN4q&x^SUy=gE>e{#oQb{5$+ii%2%%RWU;Vz179S4!DfOfH<(zq z>KLCo#Sij=3g$aK+pSHXS9MDZ5ZmUEg{9>3MDri|yDWBvIORyr3f-de|1K60i0QA%TKA=?QhRw zUhYxnvC^Cen(s58lsn{N-@EVGbq;8<5FHm&(sBB8IoSl7Pp_WQ{*Khbu< zDo3)1Sy}O*Fd$KYjtrS6Tgv)wIdg6}H1mYd9&3UdENFg}@$f=%HJn*&3#ITWeU^c% zd3wJnDwm1X-ek|(diOg7O%xZKPnDC+toyfreP&S4?MpZowG%siL7Dm6q}$<~BD6Ky zkSBr#cOTx1{@6EhPSJ7H+CXQYQjDp@VmOsAym-dp-db7DL(EK)#Jq>i?=mC!8_&Lr znbOiYrf+Et5kzwr!gSDgTS6bLYc+^r^QN7Z%#5yVO!yq0GzE zy;M*|{X0Jltw8l*TQ@{MxmnQh?xK+J7)`CRNI@CCXUt$lTXG{EXc|?PZjL@t5hQ_> z`IfmB7UK$aIp;3%Y|ArBCdzxN=|J;T++YEUCLkHndzg+}W>w@J)UouOwuBjYdMh^q z%~+NSjS~t&7#&gsE1;`!tlegUeJ6=>ZQ(Cw@IW^>>Ik=(9FCPD&*SyFau?}fW6Q1I zO_uoX9aAsF#$(Yz;V4wZRgV?%+$aM7E?|z!KxHyI_Pd=nif=X$1a~$;Pa;F0M2CE* z?->AUcxb?NjZ01U!H%vF#WPb%{O4HGF;S?h+Qja?tB9Jtn5{qy3sIm$rcz0a65pHD zOqqi1CT)}s?-EzCz*7k!JXEulhxJ=hBd-1~y?!02v{;g)ERYRj;YJ>9hCFbtXEg7= zw<~!3Zn*|K2r^;_YZ; zjX5aPI;c{M&yW7#Kl}WD{4Yd&+*Q*O3;|^y)7Z{u6T5P|;5yxJwnaH*7scwO2Z53! z8Q}MS>x;ksoiF~%-;jikt5$k~vynk%s@!wbEb^&zEp)JUi>}we*Sc%4cwE?mXj$}C5_L&P7fzW z4XN-V^?OTbFREU|(ao?a^N!BkT&y!}k&Z40Ge0Qal`G%_-~2Wc-8lHiWmp(DDc)0m z3qv>;W+yPi--Zg8VHs?Su4N#Zx#f#7ZzCj%ZI_;Dhb86=fW%H1wdbj{K;ktjA+Q!R z9kR1bNI;w{0beInezOD>P!uAIL5M9mjWyMpecNNe@1x;*YZ|c?SSj|fQqm)I=NgjF zv&ZVV&v!-H<`!L{%_CL}GmVTHASII@9e$`j=h-tAl6eJ25u!DQTA0c!U6RHVIQ?d2 z40&GL!Ql%Ffe|_Fe3+7TeV=BT+)caQqLOPR)`a)|4N3@9;C_3!a8=Eju@E6Q zn%Db3zor4{Q@$fG1!=ykv6pgxuTqLPcRBr9WAK^F+NAfLc;u-n8(xm3+m5j7R>4(U zrhQiQE##ZnfXW%?%s`t9b7K%n8z-s3Y-bjM7I+_WO^WL+71(5^wmo4%J=FQEUxvI= z+^FC7C+^T>ug10JjXIR)G`4lE!Z&>erFnpZuaUMn9MqOOVO-5-SJ-IxsQkn-^J89Ql~<9rOR~ z>RIC0D0Cv)d#>jMeiRFKUVvZ2*z%pgX7clDL&Mp?-c-?ZI|>8KwH4ux`wV)P%p_|0n2JN5%x~4Hbc#gpp%o z2Xs6y2|Sw>9Hv}%ZI6kwLz_z`FCH*;#;ATV&$^FJ1%VwoP)v#O=cY`>>*dohI zq5%y~zfY;qX2-PypFB?NP=-SEJ20C8x*YuleY!wbGv@KoFlroB0<%Jaz7G_yJod|0 zS!n9MG|IH5VHJ{%p{Kra(WMA`GRHvgXXYCs4&yfM8Ov3ImhUn< zFuULLvS!0b24mA>u~{L6DWb!!p9o_jVlR;|EM29S)1}DLv%ypNDNhx!52#{jK9LO= zNX;t(R<_)LmCm_1A`^V~l%D!jPViligE+PP(2c>-FcLN~_$L-V$Q)4rq($6rE(W7R ziW8HxfVBy>XWvSgIa21^Mx&f?W-S(;RYjQ^RQb{q-+Cfq6F9LK$pR6a%E+Nhr1Woi zcO1(bU0TpG@IpFvU>Wl9#-;SqeG+nm+4e9)D0a#VqazSJ`4BM5mV-g>)bb#vmlsIJ z8MPRR>tV%22xX8nelN^59*LZv>G zDMLvOA983(j?kxq2`>2M6wPM@OxV-Z46SC0dzt{samAV*OpVa;W1V?oTc6Rg)V0G7?o(m-0c{=#uG^0{`JSdYG>%m{^JK?l>8%TmYIyW9v})$v_Zz%CsLGCd7-HY%nr*aMzHTE#e)3=$-W zwYS4A!7DD8k-+%=kv?PNw7pGRaT;LIQq9E2F3vB>)(ipK6;sif7=e=OQ}a#1k*9^(vVw-~jTA2c6zbgRKv@+e_8 z(3UC!-$D8PnbCR*_syUeU?LtK>QPS$^zGJg>DcTj#!0@(1w(jT64^;SJGfp1gl#QS z|I634iaP^h(ij5ce!(F5_2n^nynr8w{E5y{HK zr1)>82UrEz4^`%%1E0r-ezebagvI{JuZ;b030E-mmp?WUf8njoo`E%@4cvm|GcwFx}{hy^BglomI_m;b&8xJ`) zbq%dA>MM}+MrZz|pB8q;2t+XX+)&^zoKQSr>5DOR%?Z}jCLE4Pp;EZ^ z3`Zkip9masg1N+uJK2B`vZgbljl{yS(4J#wc#1R!cZD@#uPKed9^kMr-&R@I1$`vY z&=~}9?JMPxrs!Oa>|gm~!)=wmp&I^3d4zo2b(Ky5CCzQ?EXOu%LNPx}6wP4#y~0t9 z^HaxZasNGn^0x$@Ti(LuNvq_oAp@(#-R*#hUL%(YP9tmvN1{q4J1*!#att2c^xvh^ z8^?04N4!ir-Qfgl55RGj2y7{3$nG(RxfA7?6aw5f|X zUJ*RXVKak1yG0t>@0|mMgMjZD^g89)(?lVZ`yYI;(cSR4O2D=R;X-Zod z-X>47@X8}1`LayB+=xBlr<~eZwc)CJJAL~-^QPoAV zoG;W3^RjqKH#rvYz86()fzWoV0oYM@9vbkhNbbADwGx|K*E7EvQ-LXj6Ks%j+B4Ui znQOn>Z}A?M@BJy?k{76Mx7za5yu$2ZjF{Z%=xE4&{uZ1sp(!=Y4%-Q+%!>I-^tW5| zeLa@IO00cf9(u;nZF^2B-}j&x6oM+&A1(07Y}1|G7SEyKZjlZ290=V1V|q!sRABgs zpO)NgZtMEMw=8fktheV+(x)B&o zx-st?Pw9pF7^8MmP5I{P9Edu>GgP@eeS-?QWW78Q?E|OAdTGujWhCml?;#pO(dX5V zxX)BO6n_GpX+5qPJHs-+O%>EUPF>{CDi`r)QZnpnr*70mR9?QzdXJ@%Sx$lFPG63Wb#v`?4z;WKS;<=SY2Hvyvb z>z6~UrR$AhCNvtw={d5nNACF2;1d`{p6rOPR8W~Ddcnl-=0>(d* z>_e|#u+%L(F{0@b^ZxB!H8N~wSB=1E=k6ZSVb|Ib-j@02q=nh;KHJT%*v?}*dWL$a zhY;~@VZ9laVXV%LP8&RCet|QDqD^+k$y{+bg2bh@hgp z`vd(zbd=2B&<1sP=&1be``8iER%ss(&D7pQf!^+^U8jd}Xe8>6J$*j`Mg{OaSkU&C zELIOdP5M}^nHzh<%qhPgapa#ktAbiKDFdNLCZM6m3$??y!hnI2Z?Tg+3(8AXElatx zsm|%cwB(&`ykzRpT7NTjkzolCCLDJ=f?RX^Z`*ptSOqUt@vUnn74+g(Ykp{JAQ)Or z@yML>yIMfLnFMC2CDUG)x&htqjW}Z-=-=He#vEBs1?{KQ+`aqVCba}tXP^H6?7dBo zG)tBybgQbT>5f^mK?3>6xm9nf?~UuL0+@t&>^G2>fLP7$u z0RbAprYNR|5|l(!qedE<&15$l#0q`^Yhb|=4TAHWW9Dw|5t(n^s@vTlrt5aTnGt5k z%#M8>Gdt&b@IJqtdeNoRXx}=2`5!;it}ySJ4jxDXyEE^a56|EKkWPZ#_6S)0(Sw~2 zd>WpkYA7o$u>7EdFX(vixK(pDqHe`ol_Fd1peE=o2@sp`%A5oMhqPK$hA#D|&hrr- z$*JqDPJpbWjbBaq5hRAk8|6(i-z|}onM~O__#gI;w>~bO!SPBiJ zkU^lIhZ%zuLOpy0;cAg(OL;XlJ;=4IF+WExb)$eFg6j^uaN@mM9xK0c8isMBUyQ(* z1d=e#3*!yi?&hV5fV6ZWb8DOYXGdddOvj-5C9coS>_;qBg?|O(z1d;ccGvm@~^km z%t-Pd|7b?W#R&FH_swA^jBA1C&Xu^%b`=vmn&h4P*Z=YK*jNkAmvV9U;s&kz^S$wM z*I)Sjv3&Dfo;S34(Zu_?uRrBnBVCx1gvjK#VCKRr2V+ApDum$gqzw6>fgczv=->Wl zbbJcvv-%@Ep()R{Y_|jGo^XBB4S+O00Z^K@z@56%`lUcvL+8&H8+zsH4;_vLu`V`? zVh7uQvI-}!j&N1I{uyoioA&iT8|;t^hEYR&N2m+9v`vq_gXT@&O0jnH- zP+7zKvbMBZ!sCc>kD=KT&>zw+e)poZ*mccktW5pkLYe3!=+eYhuMBGZBM+{MiRyAm+Sqjrv zw6uoxZ3%?MEjyotB2fCbqBBYj>_F1k)YhvLzc0fV8HfHI0rOtutNf;?1tc8vj-OE} zJ@}-}$Yo17ds9Mex8Qvt`D`%YkP|`rq~=L378%MYeKUhr*xfu8quJ6@10#tt zovc%NXQ5ailhbznnkBf*G zCwV8kRN?ay4ka9U&;UE=WK;v{&HMfRvCBee=-!nw8?ql1gn$k!UiD3J9UeLbQ)Ze- z!kH1hCuEue?@F-OHN6&b-=0DCZ7mMsJY(_&v*|0o$#kBSe`g9>vF6-{*)&r6K#SR(tcZH zgNMsxT$%9*%-P@`KW0rvZT{OrjZP$3dzE?;% zuV~ae|lm{d@7Gm~R)j)7%mauS{C6O$QWwtDa^*QTIMl6yXcw={U%sma! zE1sEk4y%ZG$^f3ZyM1|21Id&x0jl>BG*>{!7Map16EI=!XY!Ugm~mzGFZ{#=q5=MM zulP#8odVK;KETl`I|)sD0(?kc3cW?A<98UXECZWF1h3T(CQ|h+{iA1EO|p`C+gQv&79-aPYV~5|`HT zor(^7(&@r=kY;WuC*)&u!BRLYDU8<ZM^KF+fNdru zUx&EEPFFoy$OF|Hc%-|Tiei7A#+jS0j6S_2&Fg~77ADZw9 z@yD~ipkA`moz#mu9pMNxewe!wVjE@o6xCe6-SU24G8bKF*2H zcJN1LpI-yIVt=dQ2dz(l{YOJ-CS#7xX?+30a5}z^A4$B1CWVRhe^I>pyMkG(9R=Yq z0T^z5q#pf%gk3@tOQ6k_f+yZa4T$DsP!R)iGNSj>@=B%(yK3`-Ofw;cZs2=%F4V4h z?ldVzcZ2*-dBvTIw*abYiZ=Ct@ot;l)g{}e7R-HX3;kxigJL*Cefc+vN`&DpiC653 zM~fD)6wSV66;2DCU2*1~!@l^4ji&+7#+I)DH<$;Ddbd_#r1&Jl*2QjGo1ukgD@J>B zs;)MV27+9gYd5d<=pvXfes)0TB-)i8i~W9LtJxSW*cDjTJzj;rT;EoBjyb!G_IXhC zU4x6r)2_! zJ}C0MJryzx%bON1`ZJ5c>(iae3y5rKT(~%2vXMOH!Uk+Ug#o-AA#+uG{wnft$6q)* z00uE4?fZ&`k8iY!K$;{oi9-khhVrCutNB_=+$yiUc11KZaScr-Gb1Q}<9IQGVE}FV zqzZ8UmEc(9gfm(>*GrH(<?B(=isP`PJ@fNK`07&O8%#s| z5c;(Yrh!KrZ?>WnjDXSXt`;8|<6Zf2fZf{@vj%(FeqUT~iXqF#k2x0FUmXXSND|O< zlMu8=F~?U2t0PWOLyza&n`8*uh}k?_{mb7MEe^wTS7Ly5E57FN*$EkruJs&(D~;{} zdQF&L4CrP2aW$gfr}lx4nd|&ZXB6su+C9Kh^1qbw!VyL6*?B%PHr`h^NO8#=JneoK zE^VlBg6xW&NC$jzg~h8^bBXaBRBcMeQj%aDe~E+AwlGT=*PHCgSl2s|rXCsFZ&6!s zF55~d(zA8;rBhYSb?1PZ60TUyP73hXfi8fNz0U*c#V5SFc)taU#Fp+cmmMbOS?Hcl zxiow)0P{Tz)uI*Y95-#2Qkp^b_m@JkeV{VvbWeTEjfmEfDFG*9Oc*HO+RaB)v}l2y zk_AZ#QZN-wHqU`ewhEwgs&J(+E%c&*WKn>fk_*U!wfChX+Xj{f2=_DkZ1q3qkh1;{xzW9e~wKXM+nHrIAL{sAzw{X_A!Jn#!_3 zxlKWs8?pe+o6kth|9sHA(!lDichrT?CMyYr;!qi?q4hoN?`*|LinL3zyGPXkEz|6o zvCAhT1QHy|>WoXUxe7P9z++#_jsZ7-d5_3-yr8*ZAV)kp1fBTRQgjGgS7g%K#gH^N zRgxOhbUh&6a$YCNE`)%!pdp&BgF@m!Z?xwv*dr;GC=1={Yc+OPj9;CL>Pg3NxC7y` z8-ozZbt&SL#71+WwVpyJ8T;cRsujF-g`MZ`y&v1t9pPj=V-2kebs*DY;(!A$3Y=Lr zTO2~b#iGY?4jKhHD8KR2xTNL66;xBVsp&jJGnKKOfKb75*{?yP+EG`H-fWrBoqBHa zGx1SMs!g{FoKJh2{&>l89)K_}F;@B8g@N`jT8lz0= z^cajxC1pR7RjIgb`?6-MuLG(_Rh9=uoltdUeL`%o{??f&W5tZgQX@O}S+>^U9x6mM zlg#S!38;>+E86GJb=nd4@#;G?q|?f?`pXvwD!Z)ik;KhTaJdIn}Sc+jl)KJph-gJ%Gm*Wh0oyC-O-#! z&x#$w4R12do394F5eiI zaOtTmqcVhEIO9TOZ8q>Ob$MtT9ux2O(-R3j@*&NhTK=R%ZyM$)Q&aH@bW-i50Xfy( zv2KbYg#qdqXdrsTt3~meBaLrcxeBBIbZi=_t00Q}6EfkMjuJ1#R~iv#%k8FBVrcf) ziyVYxXg%oP`{rR~#tYbTx8;SOq(Dq@H6zJo1E9qN5L4UuxtF6d@=%%iz@HP&iP&?# zUX9oBFk>xg=JQD$jSTRK05BRpv+4rcaoG1jM}s*3BjPSV0foX9^A#5l8eR=Emu!12 z7Vp;Vx&tEy5H0EqDb{Cq1W`6z%7@t6`s0Sts_y7%`f_TUu0Y^sx-L<=`p0AyHABB` z3`0aWw0m4>T=YIaF`@AL%}N7%#x}YIiR4Y{Q~97dlChW^hh9b@4P4kbvfG}A7LhM} zOr`;o^25O=cI9|5!UOMP(sx3-%Rmrhwvr680rq6m0j#O14~icI;Bd>=AI?{%06%rC zH@SC8V24;78vtYa`e$cHul_i57VxBVtpbiyezN97feBHhj zC#OAL*>P51<;uIoCw?a}f@w)v*$!@`s7XGWAl`ai`Pd;Q2mz()iN?gEa(1*WJPMyy zeOEU99rE8}FXZnF7dE_oRWOpy=-*50Ejn211y3T0DIzqYlW74Ng}0*W<^uXU*B&f# zBDpYGjHT{)QulxI6Mdnq%^=(C;RvtABjhZ|vFTy8wy@I_qM^Hg17ZFnp>KOeBGGENmO?!(1VZse_FI%guTjg&^)*O5(-a_G#q z!h~n-=IWGtx4Xi$>`uzrZ#69tT*82FQM5(RchKQF2)|q*<_*q%Ak=AFT%vLq8GEU< z0+omN=pL?m{MwJ3)>@Mju}tv9QJD%3!=&;Sj*cKqPUuKE)KDtksmkUF4%^Jvh#UIt z=}4A*KO>2^e;-=f1QFmi6|_eoV<;ibzcVnNn8r{D)TZJPK1D|jvSzx{HF&|w-H_qH zexxoxnQcp%-;AG-^G&4#00UT43xRZ!E?Y7gy0$b|>0}iYD0;tjpqIvt7oxaRNB2*? z6FR4wHb!uzUyiCPmgUsNl{(QCz+v3F^&l1JxKL6HT-4=-niaAI2RLR;!>3I$I&SK% z+DB#<*ldb=rr!;Qc`fVykp?vlC)zXsWw>a?ZVxPJP+L~4a@Kcuqo0z@?`PVAXnokI zivH)?Ajb1Q&c%1MhP~6ZGUz+ZCSA}U{+`$a)A>ZJQ(Z2d`CX3TP&%dzzRe&rw4y&)wbOsg;S}e1ULUA}zLki6 zH#ee9wZkPkS!q;m#+k!0o&HzrQbjSmAEatN0P1{yC4Tj^#`n@z*Bg})!3CMG zt4U$hKKdTu?LHl6#!8`m_`t|%o@oiDgmxeDsaq>?r9mC|G(;oqeA_+~Wg*PPsCK|* z_*TtQ{RwyYdAn76+WNWR+^CgP=)xnW{_s{Ctj~zz#f8Bg)$)56ZngPF0%I}YYEPrc ze88wBpfV?WgKtzw8q_;h5!zj;mJAUGj*Oe8@0+t8wEkFd$f+t0vsW!|+=mk&IHtCS z@Jr_h4t*cJ+spmbSS1W=k?~vA&SwL-R*aNw}(p`@zAhhS~+f9LPeJZw5O0Ubz% zW1&h_XW9+YrCN*@cvDv_=p=;%+D10q67I%nZMSz;A^z(>GDAfe+|y5iyh zeJtCCv4?vq`l{T1rVS%Dq{_`3FC>NhB1kz4h=Hl4KyJ#FtBQT^;9_u+65OazsQ!dK zn0dU}I4H1P(8%^Z`#QFQII>ps&z!!Ym>z0RK zV5|y9sFJ_ZHpboR`z#%jp+e_eUKP8*pny|d6d#bzhK$};@0KAnwbcDI^=W@qmzj1L z!W{4@+hcPo?rLc>fQGkuM@vkbXE#&C{%e1Ax;TCZc#-^|Ti4U~s>q`;?2q@ZkXp0^+NgN33_FmIHq5?`wk}+SxOn zN>D@l`b!`Ye@-D*Pk!G~DJ}_AYdBe5;fRI$BG%)xqJeXVo%kK;VoRR^3PcCb#}gh^ z-=0&S8-tK2{&uoZla}e-2ABcpvd9Fdo)Q2VgRmrLZ~nekr1BEFzK;fHv`2c&>7QZLU#B{T!|}(V|By`m;q4lx$H3|-(aO~ z1~GX41Z*B0TLYsZb*wmw8|gA&y8+yuN=G_sHyP8??olGPkTi$H5blS7()7Vz7%VHv zl(*D7ISlXA%_$L+ruqws8Pn7HT4Ibkgdun~vxUTr2}J`=$mc2i!Z2P-O=jqwEaU_c zM3M&Kh8u>mC91S>{Fz|12s0@$c)ULPrX~^MtQU__AJZ?^b@sv^W|J z>XQb8avs1Ve)FOGH7@1KTHgo2%d>1Wa{^9DloU_u2oz?iMO6%4xfENg;Q~kMcO>JU z3%8GldXTte99Bqf;0cKjt)2})oQ~x}cG)l%fqF-@x&DHG7OcJ?h65?+6S2V18A(Y#Z1 z7i5k&vrf-h>6lZKdDc*7;IChG=8NjKaG5OHr`KOm{(Z}Z$I{_vRrjoW)|?tTFgx;mFZ&m{A>|s{oe6&izDjWpq)w1yiVlWTOF|mSnvEy0-xF7UQ9~&KsWY(GVD1+INYiP+ z+c&~Va5AXe;)%}Pz-ew@c!Ejirn(v?I}a9M0^-tp*Oc${n%Yg?gb7_-%kz9^_Xkw9W;Oj!i9giSHQEmD4k~Lal>tQnC-y+wR<`Pb?w3YyZZNj zte=B?CU_uI@lvQ0pGu~`_*`!NIsZ18eY;{u_05%*7?5hg>zQ^=A4nE7VE{Bj3Vz~G zX=A*65b43+WC-ZEQ>i4p)6LPnz9*yX4cU1_^Y(=3X*yMcYo_FnlVtTz ze)I#OQBD|*0mD6JF|c6_O5y}jdEOq}D2(7QpdBNUcxA90^EDn4G8-onXp{_LnFGva zsA&z{o=oVdMpew<6+KB?f=?!ZbMYSB5&qHl*17X3$(P8JLCnNnlcXj5Wy(#9scAO& zW+d>F26cPeFo1{DEseZv*3uDXGhvlPnT0{=XByse39uPNVG`S7Zh$@mu11zvFq9qx zY^MH$IB$rckmJuLLH{f0Qq&VH7QBR!wMym`4&VAe1nVf+CAf1 zAAak{a|aJv`0Clos$#bR!OuBlKzg4~rrjB}x08|O*TcUF5X?9u3Ut!llt2RLnD6!+ z2I7`}KjjAD6gWJi^zc2Ia>|Cz&U9d5Jf!;xcLSoqBw_q+*`PT>xW+lep_I-uZ?xt} zMI$l^v1Vr+g5EA%v9~ST*5@!2>fZY)k3;*6flKLf@$Y}5mPLCi;ADD^y!Yh&e88kR zN8B;Fo#lib2xJh=yc=dP>qySI$3+5 z;G!JBk3Pqm{rN=O@#Qc6qn&yy$7yK)@)w-LU*`C)e`2nk$_|Vg`nKuFu0|#bTmfTs z$45*Z5N^ENB6bN?biSZ}6>r|5ix^Zmq_$Kd2-*EK1or}mUh{+Zm_33q8mYcQ*oR!N*3+pDmsR_>+Lx3VY`kEcBt3&-t@E z`BTidtvZOC!28Y5@8r*KdoQx9q!r+Yo|QjXO=y?5>hmX^OcjV?T9lFspAjZ;TpXwO~cLb#O#=hlUXaq#KTMKUmguXRa11^3hkTgN|1dunl z3&Lm;@!$L*US|&+=ZU*YZGGVSR$%&Z-REwr;*3j{iFC{rvLJTVf@fG)3}=&U37F3! zrmV7)Q+2m=L>YR9=DIoxFy9x3>whXMzOAN3q~$O=lT;)fil)WMV*+Zhs$~L;3a2~c zXkrl19m5DQ4Js36CG`PvMtQfcVyc+d08)esK}~Tqgi&C^HbC(Nn+KY(Qq1#92~TWF zZpx~+D}OG|Fqtana6Q+mgCP3n$l;R~5yhQ4K9%hO5ajm9@Hv|>ek2IfH3>xs-}9S~ z?3z434O6#Lr4Ddvdamag?o~t}r3C41MBHi47qXtIClQ}}Afp|=EdsHyA`^kduvao2 zrneIaoT5IdOKHdSwc8#W;5ab~$e4Xz3r%wXpGDaHQ&ai@w-rs(sgVl7NN9&18_jHt zbGVWCn=S{^g^mXb(Zg2@$zv48Icf7$%s^?&?7@@)Qn{`;Z>p;iN9T8p$uZxg7bXdr zjS|Ja+6vs?(jk@Ft1IJd;IhEZz33cTEclA!E2CrmlG2QCR1DGW&b~FdMxn-lHZ&b} zXawPV+U%zpPvz9I$^Q3PY79iqIb@SbFI*=>|nO&|hG{Dpj zSJVz($^p=^9UOKy>9p3JPur%UE}wn);Eu_)h_M84zYo=Xxxtx}C zBVhypXftgf*$Nj$XlQ#Z1uTr z=otHMqgwipmg(*MgZU72=ZUSJ`CKXE!2|RI0M)ymr^Con4mFm;#%CL7!(`r|AiZ4TuU@K&JsR6@h{CL$IZ9*#0i{dTU+h3hpRL0m3otrarnl7mburf znxC9!Ybn1bST={GxszG=fcJXj-VPq^$?vqr({LJ)wc0j^UBkfGGOk&sOortKQ4O0- z!#L8=gq6>W+wVs1@yjFNZ&%&MZB!`0v>ol9CmD)mI`%U}GvufP7w zzc+?1*%k3DA?dt5;ln)zoBlOI?hMiJVcEL$rgb0#+tP`^MD)Zaq9=Hxh3VA7(6sQT z=ToUbZhFmI25P;f{%k%R=8~hu5VxBg-;a>LxM$z1k0-B^Qz5;g>Ew|ZH$NV ztt!sqrKT$8-m;3*xS{=FPahULMr4ofb+7K8z`((+{*~1iU+^~Ks?DY?o`ko{u)@Aa zNXtC3F+=YQC$0Pm!r4z>3O)A&e;D1c(0&@a@v9?T8zd_o=ZjWtMHCH{vfhJq`HUE% z$`lbG-M(;&?=EyASG7(aJ*?CgZyH+{&wB`$K)^^G#F@Vaqic#d+h`4+mH>33q4UXG z2VXvbs5NxGbsGC_7Jcak`8xYw{`LRLP5pHW2lPXu07!`wPf@=91}-c~x&}gD9_Be5 zqq244yS^XCiRZJ_l%$4Pnv&Fnex}}+Zj`M9NKKNpx1tl@<@Fb?x-eTRe)Xdu^P_d* zCQ%m0A&83-H%xKQI@U8u^91$GJU92Lp20e1iBw-md}(S_^b7<*;L`XpwK%Y6=9So&8ixnS%YrD&Xuz&>R5pw~NR0wF&A)U*>I1FRXtgCff!a)V!Jd1zc)=4A<&Q}L z87PE35X`P4xF7|I@27YnVzCiuUPx>Zx@kt0P1lLmL9&vo6!>HyT#|Zhw}&ra_xfvK z>%amj^dB^ktf5bp)FD3EwBaB~_JJ`E(TY=3oV z%GY1OIgkG1Ym|^GnI&t`iUtWdd;Me`2c(10Pm-90h9oqNJ+3k(V40cjz<|cZ8KIZQ z*Iza?D%_6#b*ka@*B!jY$l6$kZsL0(yY*2nIH!^J;js3}V|52<2@#&ev9H1VMeQc#}i8G~gs2KBbCaLyIx z2}3I|i7gckW*6u0qAfavYX&i`_%xP)5zX_QipXPHooL1L5@-RloF*YF*rQ<`d}2%mK9k8cKo?>kI9uZXWQK zCc6ZEOOk17(yG43iDOj*+Pd?64Ss4`1!>t@Gj|n@eV>J*z7f1+Fnwg7#H+hj zOSqCd4cwW+gN{z1as^D|{x^*1LJbTf)S4zIO>|mU{55UIsTX*(G5OftcpVSGE=Ve& zEs9kV>nR$M>Uo*PC0FBi7uWiW_Q$}ZRl|*f5K0Eoaj>SLAA_YkP2kB8O4s_Ko=#yX z1w^v)reKkRk5YMouM(MOWI#L)Zs6y>$Ey{{yvdNEF+f8!L`D77*d$4s1$tA)!ZL2k zlylWLfEZ*(V(LiHNq21O1RiF8=*4M3vyx!|3?<0;hh^ik`*E7#ndeD@&8q^@;SzgEb1#2@M>#y!v&93I zm4}uqe!h$}ob^ITh@eiaccjp{kk}HE!;;RJo}3Xa3wPIoDZXiTeAYoMCs_ljICfb= z66>~}Rt6kbGDCJ5$o ze7pRdtLx|jBmcm%E+MSH0EE{pCAJ@it-A1dAd7}N2GGHG zs*(e1M}#EPAogaeN%ZJLymO)N@$QYmJYx%cAuDhj_7ZJe4g|=(w`W5(jvN+}PC^#X zvpzc``u^K9E6nGzvPo7lYa9gSi|6Fo%)of|^BA!0@j_BI4muDtphEH674pUkv6y_C z>fT(lKG!(6heM|TqCj9uhD2@JpkEmQ~R zaG~$$=Zb0(G7DZ;>?*+}J~0nr%?xksKtktzP)^gLi5L+8Nk_h1V9A`fND10%L%&Zs zVEC^hItt*ZPi=F$y0~&)XvdbkQadMXQ+X1DCPz+J^mD4Av3f^w+d| zS5_tWUNm33}bPj5uk)!}Q%3g1bP6G6(WiA z(DrYXm9PFq(^&|jl1@Tkk^F{OB>4>?MDkl~egk8B>UPIsuU{w`HAJ2SYgL1}o&Kf& zgxb9?9|wR`P8n_z<;)R}M~(XMa%=`Gt;x*^X+!uqW!$NTh85Xl?eH@FGA8nknl+8Q zCG7xNB#`!ONgKGkVWY}1sm^JYs($}>KCCLT0ay^u)`6E8yo7=baU-HFP?Hu&h3&Etcy~cH666k- z)kr5L0%n%-Im6v@FGF>j)REryWjHk= zpY(v>JKzn}CD1)bJj`_2je(agn*oY5(+)Kt)~N&-XJK)N>Mo5~3~qvapgc$u{AoP) zigpBAJ$LFXV==m^K23R(4>uV7ldgR62z-nUS+q~x#A&CYlE+T)X{wp*(Ey5nG(sAJ}`oA1-7IH{4mzgJq?`4gw+d*Nqm!;%h5DDn zWpG#u|2C!X(3NDZI^Q@AFotMU(^}dUvVy>L)g^Hhr}+}mo(PZ~x}Ec|Vw4Jm`Cgc7 zg9kPAw8AQ`$zt6lRNa=_a zW|^0(r}57mC!#P)W;KpXjoYcl;Z)=7cdW5<2=3H)2BkZ%a_+@;m3=SeDp$?3*8bo4 zZ}Se%MSan3(wWaX16xl1Ii1D&noR5Lvz_(@lQXrKb&=199IQ8EhRf(7f7cC-+SJ9-@ntMJoYl~w4v%-#q8;3xc~p= zlUY~zsa_3xGk@qT$Xx+yD^lKP`Xc1M0EGPa>I&bByd0oHSw5>ysH?LJr|P8NyE=aG z_RwJd>SbMM0f=wv5*yWYQ(cnpUzhJaOre_$Fiwl5E;YIdrut-m4Y~o)ChBrCknB1C zPrv+|`Eov)y+PL1+^nl+GJj|@lmU{(zs0hez-pl}@-O|~7hgQ{4G0Y61*E*b*1df? z_w~rj#-|t@Kx;M7p^Klwg1}`I!Q78ifykqywh+Nj4@yOMq9bP~(XKgX2x(4-0zOE` zYtDecUxZ`esp}aOVYnD(F5(Ut$Cw~eRsw&120;W22WQP0^&WTzPG26_b9Spx$3S>g zq>f$`3l<|CsP)ys_<{upze~Y|aa3!NN~SDMB7uaYBQ%|x*o)weTJocM?lLH5NT;yO z6+yfn zr-1z+aR{%~q1cY98fLWafZ2@~Z{0U|EKR12K3mDuvO5`BS$-sy4?JM-B@@+oAUR3g z?f8ip?@vmk0uwi#@`aKwct_bGCy#V5vD@5~KhpX0yQ&MUVF;AJ+~#HnOk(_2Pq9)w zJq+P&X7joyoYxQU4E$&shGCe1O4^_DrJOJDZu5n*dPu$$Q`--we3|4+-WvPtnIi4< z^AL3C;gmVYoeNx9ZuP^D;DH_sQ4j?hZ<#axr{+;jo;fumXp84ky^JvSp}T2!Tc|tiZheF*%AWAHAIX-Er{2EaRn3^ zUL4!fCCye!IKtX;BhGnTXof2uRhQk-0(f;F6)>>x6%>Ci&#B;-@{Yaebs7GQkD#`5 zovsXUG0zr#FcV@o8>d4X-F)@y9~pwRZ8dB$q6|r-eAL|0Q z{buMilr4OV@S;@$q3&3kkHu-Bb2zwy`BeXJ~J+MkA2r&x`&cPtM4Lv&1tn3$}4{c}VDROJD3Kqky3PonXNCfT(x zDO+U4@C?U)Tsiz$?VAC2(DHo zR9OOh1OLZlaL#_HPaIC;;~J1RA`m{||3q|(yE(xAf;VkPTHs1Y}6>n3fJ^g5d{`{1_!Lz6-QHD1@7pI1p#_Ha=@9-3+|ARDCXK}B*7h1!PAzZqGsqij`MF$$5_OaW*1bY=%DM#GCGk|DA|oIH>%&LE>))RCb`x5okR z5Z$;SFkO6C4eWQ}TT?C_R|FQGGbkAtu^cYte)CNiRiIf1M^S;O>rd?D=#Mi(_YpYy z5|^n#sINIfn?WF&W~Za_ZsZm_5W6=Z2?hnlY>h}~f@wyC&UvAM5&p(crS&cC#Ol=P zg<8~#=cOPCVk0Ouy}m)rMW;hJ=V8>e46@Ur>3-pqHUy2(Yk;di<~_qvB*7HJp#cGi zTD*kaYBY&)N-bL)a?pzT8KFIB62FREAc?Imwvs5$f@WVzUs_m3p1iG3Q-_!pqFB^!3KyG zz+Soo-@6@~%f-*i2but=MYLR3I$RTusE4Z=4)T8AE$6VHtc=~ca}*eQ zH*7G1@+nAtvy|gC$dr}4YKJ|BY$)jTOvVD9_dscNv&_D=AxHClP3uRWmF62V>S`8k zz0L>*RCCgkHl6e=tIUy1Yxd-=_rl+LLtm`%W>$ga3op1ko%nV&Vx$TFA^>86FAauF zY>Xtypb5p^tpEehw8JKFfyqVt%pQ@mPleMfKp7h3s#Tia<_DfFnQe^0b*E?pc;b8E zZC=Csx~agBv<1{oTQjpN{r(K(f5y1!=xlXf!3p9<0!S9gRzuMDRBO%-0G$akN8E5% z|EwW@5TloN1c#k6oIv1n8Bn>pY9>S9{}y}z{4)r?je@&h2mEz-^K}q?OT)tt@pYJf z8>QxJ&0*+&>u3BkaiiedFuMCS$q3vi{xMU$%Xutl%YCLbS}t{j^P)Qz3@@_-bV}@{X}St5 zDSl+cT#nFcP(y?To(A)qkWP%i2wbwE{SfOLfiMrXN4l1k$W@u}TPU#N z?GOVLrCFM-B3nrIR^!50Wbm!qZGFNpOv6{(;J+$;&GpaSV9Q;Ch03&JeKMdc`OZ0*fb0*eO#KS030(&UmgzO7pnhe?jh z%gNVjZ0iox#3eNtn*ch1-^yGeX#+<=skV;XGx7LBsD6s;%&DQ_NBSX3S!Tj4mj%;u zo9ZQAo=3Rp97P%*tlROyFqNb?Mqs$p3yGgaxbz&|*~Xc@h237`293;@`XHSusEZ;l zb@}dYkK5TvV4TE!89EA_Ci!9-R1RMb>dIwzD(A&Xv`T(#E~M-z7>mp2*fbR_PPvOn zYBCSo@^I)};9$UF;4MONOtnV3q9rIKqr4doCKhGdPzr?QXzU}9*aJ~iZHp_oG2veN zEPM{zf^RJm6!_S5X3t?3cd|tfWuaLxXO$2$mD$z<_o)GCN8O3*{bEO(0HJ7GiE@dX zIRWDqP`OM)#p(3nl%bOl0+S}1M7}2*dpHmC^5xQnCNTW-Xr(w^9XfNjFo61H4X7tt z1NpZ?R9h^SI0~cg!023nr`8t-q5wqMCjmmY=@dbq;a#h9EgQjtA~RWhCSzecm|NH` zbZo&}>KtICiCuP^$IPxVDy%Xl<^7*O(HG8j(Ldvi)#AEmtGJZTVVqCEWU1=fv7ah? zACsxUm&Lf#>_Cnzo}>)Sve` zQjg6u-;?yuFZaF5p-Ap5n;5r7Okf1#a{&Wl(haTIM!zUL4YJQuhrI5of{ zj9;JRYXi~>8OM@NWzPVVmg88Zz%$?`%*>mB%8dTsb3-?#PeMeHVo@*JCt8l53jGa! z(r&;%eHTn%WHs}JuByf`9E*oH)C9po5}d3AjMd^Pp8d~XmGJ%U8?{?}Go_|9^{#+2 zaEQ7mMN<8%1{9w0G!exMVzGu!;R=`p+O-)ZGP_niGyY;fbSq#1k-fde&E%$(*GwiO z#;ejd4w-)~Tfr66d8$^wc{fdM!6vo}-~d;S4)F8XXF%y<2jLkD7pe;aH)-3NjMF&v__8MPx_1hpGv7e^hH0PxV_Bb6DKRW$M;YPHrx_PAU;7AJ z+Oec_EuTU(&7;WODw^j36};X4bZ^xjSNdeE-u9qq11A~;#t6Yu@hohKq4&YQ%)HO3 zl&XE{x9)Qy*JchkdSn9Or53@z4d6=1R_5)du4 z7GE;%orxmEjS{fA`t zb0Nhu)PO}=lLY=u2>5&*X~_2(vVY3`w}1RY_jn{K_GW7F zh4#j?8WQ?{NB(egDOfFg8%%-`mi_pKIkYOM%z~B zPTw5x-$!igqqjugTpVVhWf&k1``N%!!DlDlYdH>|EQ+4i(9V4v&PCa(qdxn7<#3oh z{j2RPMOt)y{ij8&mF z(XzT5K!vyipYj=ee2CK32L84He`Q;6@Tu@(!kJ4-KC9g$8Vv3w`dl6}8>aO|q@zh6 z0O&7Uhg^0#mc4B*YO6MQ>Nkp*nsyvqBLEm#uRyH2wh!rTOvMLVbW(aZCUHkNLPl{k1r>$f~8!DKz(r z>#B!yZN)sVoxq#H4kl@qyHREFC8{jy6gXq{X^c!>)O9`=``pVqWa&fyW-Nz7UD>pCldf zDvoOfpRB4bpzw9dm!A(MZu?0D(9`?jTuXK7blA0u6mf*xJ!xeRyoVOir?j{Lp#NA@ zMq3Vh*;?-S9-X>YbpiB$ybyGBJOtf~BTYxeO2FBbmlLl=VE5=SoNM^v@|yzHfXRX# z-ZSuYWts!Zz|YHuPea=@<)b>Ca4~92)(XcH#!I32#oj1d<1B#26t@rklV)pUs}@I) z^HA-cpo-f0Bs~KfS*9-NUzk&)W>Q&n{R2+9q&xH)!%aUI`~_K1TCgXBB%sl8X}BT^ za4L+}M7GRXZk79|`X+JP4+k@KRTd34ZmYm|pS=yXHP#3NaS*DJsSJB*^(&_VC@PsYix?)aXB8F;CrxcQ4wF4zGV7?|R7%0 zN;;Kny%Vn8o!A|dff|IFT^vSGidO&ak3O&=VjtQt#wh!j0VRHUZI|Tk*G`Cp0>V;Z zJe6hnW-_@uJ8yyMadUY#CBwUegoV2=<$0qv&&Bv{>{2~2DPM~EW^;8BpwT0agb6gN zqN#Cgek&QTQ_o;{ziHZ(2-Fxf)TtW|@X9HR$zjVXkm+J+TD<;RIW$vVUVpIx2L=zP zDH+e+=4a=E30mH&{N%WFKg~%%-4CPp@d3_1a06sloPB9Ll$(+XU*?}0Cgqzi1ha<& zIhJ3s$NvEq+2RYDRr{i$5y*Zb>b&w59=M8{V@e7@j(+xU+h`NJx&y42>Xe3qwiBF- zE$w%LXF`3j@;9W^p)FrZrZwMTYW3f%$YKW^yrMkRv@E?_R^X~#%LM8hwcnSwrO>K~ z1+OZxQQmLM_ikY5UdpC#o#D_9XWC1DutJ4SpaJ!ZI=uepHw8yb7mv2m5f_Y~e_aK~ z?yfwSeOo#wvLm}=@dGyc@%0yEoISxyl8L5T>=lm%R?)A??C5AyEmw(q7-)x~U7v>i z`EuLQ^I`AAX7`-fh@hQ%`&!;3KhxyL(-J&q4Fs6`Cv;+U3B#v%mcy1*gk(^mi@!L+hJ=v*`Rz zef#cM%D?9-@VgWy;a(kJybeb)mHInf`2&{be`eJDa7F!JKPGc?0AVDoC5u}`ORJGuVh1M%&qV-Gy0Xt^svD!79`6f=SbiDQ7V zaMQv+!kLJKtmIP-pD_LJDsd+7&OCMHM?9}kdXtM%=vN24_glYGTdcosvU%pN9N+Sf zAeOfj{I1DZkE*)v)Ky;uqkY{K7hJ0Vm*3m5S~(=-&NmK#TTHQ`ae;qkcZiV(a0Ab5 zXvk_AGsysBi9~=v-I<{1JpUaje&pzYe-F1M9>*7tYQ*2tGkCUFeCoJq3LUSfehIw@ zVj|Q7U?J1>3+M(kEVfpPsmYc$?<*OAMxi0jk z^{H?^@zoc|Lt@062Lk=h_ek2yA3Ppik8*a-C(Psrgbr?x#csd_!X9YYR&W2mCpEVs z99tn?)1BI=p4J@aldq#rQ~IC8yz7QXV;1qNuV}#niYQ+vap+T+NUXcgfOGo+?rDq~ z;R1gB{QB#*c#%B55O}0IPs(``lShcpH#CCFj_G+rrk_I;a~$a`8D~jNmR!iz3-!d8 zFVYSlyeh6APw6waA?p*YphE4AxYpuH=`8Ss@B!HFYcP9c$;T|I_T;84k{;nQewK!k zKF~3V-k3q0qWk82YDBkaL!9CAQ9S7-gFmYje3)rd?xt2}ct+Iz`;sGc8Lyzz4)j|* z1mLRIsMg0js6-Fw9FfT({r4pIn9!9kfwF$&#i0;(m^`t`lX1hvS$M2g7^R^m=P(%< ziME1ovv#-EaJlR>jUuuj7A6jpBc0`#^?9WGFaeQ>WC~2sr^%G-OuM2!HWz6N3i1+; z`mpi5Xfj1YcOqfd=9r()|<4FbMrO*H@#pFbDBQAbBoiy7Bwb4xZaIGjYK*Fww94 zBk1|#w=JB2&T_S99{X3%iu%72NNJr*KlCFyl1>HgrgId9s9`T&i3I)14;5oRgT*?JB@g3ak@dk3Yh`j<` z_g6yk?CjL3=@mnZii_r^g3Ig?fgBDZu4esQy`J6{SN8g%->HgPZHJ3^KA>kaytK@Z(zkhcxCsJ(VqD{vQySTXp4u&LeaT zsWkm4KPxcq$@rSt9B3Cm<1@0U0nxnn-RF9rhK-T&fo~!=S|bwn zrF8lyq}3cDfEy^cMUAM%Z#gBNXwGC8Hs%Ybsdlptyqr7Z1na3>v_9+^IgQkN12^e@$H`Z%D$ zQT`Sk6J;p0t?OA6@Hew8!S@lT& zX3fU$IrWq~2p8$eW^cO!?DN{JniQ$Ee^Uh5Gg=J!qtd&fbZXu7z5a9$SnU2bD?HCX z>Q{sVVRbn=hoRc3V|C9lMtph#`R$L%2=U<>0;Vj$_kkXxt8vs_zM75>C7!spAS>K~ zLO1h(FQ9moA^OhQhbo}#8D9d>(f~LS29Qt>ck3Qn-ca!7@x+Y^tX2{O z1iz`h+Lmuh2u4RPaVGM`naNxAB*&1CoSJP1l9O8*!B~rA)O{X^Lz2i4=9Npiz4H?8 zTb@j#N0QF%!xxJ3<8hfRomSm>aL>kJ>%W+HKsj&|#Bd~Fe5K`ijmRR}d~sx1hbty0 z-jD^S;#09ZJR@*22NIzlahh<=mI~+xgLSa#R7v~o z*X$_u`YSi1Gh~)zl#n^HQ7+B;b+#J7tLVVpmHoItyGq7=M5k7g37YPVsX|;-^4|oy zT!A+it{n@4!9)2selYeurIc z+@?1$RET=^+{kk^-wtBf=vy5Uow)4Pi6t1k%(R2k#$*6J5ZFwE9_Vi%e`5DQ9an}R zg$Yy#tbQKcPh>H9mOv}2B7mlJ@Gw}U5dp)2k%zWCpNqanX+zcVgRBn*b5sO4JB-`t z9>zxaS`!|Vkg3B^l15RP9`~?U99}+AeI8akH*ozX!KWKg{<_D_-C8p;A)ULyM~F>~ ztVifgBG&QJ=<{7UO$Lr`>;arYT}AEE;peZvGLg}&WS_Kb!nf&wB<6v;y-m$p_et$1 zI(O}wXLrBR9b!_j=KaKzgXDSJDzw)0xJkuo_ft_y(;=#zh6V|v$%HMv=@7`qiAeKw zT&HaJ1TZl;lZ5({3|x-aP1&u2 zz-6a0cEA!=H7H*C_wjuw0XCkkK`)qT^7uq;rh!0*54^l$$HtBRnMs{!xWen6)&al} z1iC%69iB+*vr{X>h|osQ02h=tG-;1&xb*wsh|7(w<^y)NMb($v4%W?+VnpT0W$*+C zkPugppg7+++X% ziC1*`l-k$B3BDT68w^%AHBTxB7`I zFaz`f9eu=*le_`)o6IxQR*^A4N7_d)j$F0V92FDPyVWxXA~}p(hC3M;e29_}kI5dZ zKJHcAs+Cu@vzyRK3<04Vc&_5b^J@X(<86=(jTP8KgLo3TR~-0@(E+D$TVf;<14|;F zQ@^IQiVll=$)(XkBV65;%08-hD|u`V zWRz6R?x1U$P7=4xcW}?Aj$gDI0;Bg^?fZ024cNU{gqaXiT|I@v5jQx|-Mx+{S<*X* z&Db_)I_4JK+kS$Rp*TNpsb^@5xUa+LrnMq)gOzKixS<}x_*xN$NGU`AxD*$>-6c2m z^CyvGD2MR1R>fH(^WE=_+Xnv^w9+5=PMMK$r&|(^Nfn<{`MoVR*b($!u(iQxZ0?mE z>*Z8jqG>hI55E&nG*EzI;e~KMHT{G5?2c@SfC9xM`2c{VGp$#jfaEw&lRW?@QI#zR z(lRMB7~Vi}Zm{vCSdjS{PIO0T(h)$1Qh`B;8_?%sBTp#6o?8^`-Bj-Vf_<{1}H=f9j?3B0I6K-&hu8+II~r8<`k$uI}>bV~oDITYd& zCWvWx9bbP%b!HaPJtrf(E+vyAcjFkAJJ2F%Fl@=Hc>P61<(Wi4Ysg@rhqx99@>RqL z>aHhpqfBjLWcuN*TZ?7js_+b zupUSpooypuYL>dHuU>!E1IxTG`r-8#qsSP*4*}#wi6qXTm7=?-*FRNGPf1~Lgxmrc z(U4E=iE+sj(wTuOu%YHWHZPnAmOZr?%}Jmf+=bxmKz37ezHmHx-4!M&;3-HR6&>e% z%EmF`v4AVUc83%J+-cCB5NDtm$L0tp2&PLo5AC*ORR?U1r$`pXk}SvJVSqamS<{uI zN>Hze8=Z*=@w};UwgdkYT)F9^mNE zA|a(}+ASx{1%@NSNC5)m*G>|y{^uVpeNwbNbQfQcmU>5{TWP5CALx_S6jbF)Bw5N3 zR=9hknX%uxfWwjNa9EfZVIZFgaKu)@^g)7fCz{lC3{|a~xWx9w_V&&or4@`>S1{`eO(9iiRd**NYrF zT&6tRaJ4`?e;l}g+Q-M3feFxGJh!KFlfY7#F9U{+@kTee{<&GPqe{$JF$v9*Jy{O; zEOOIX(hiVf_#!6pSPQ@p!X@CtgareOg3r@?ns^ufBBkm8UM7sj8p6+xkF(4?Aaeii zAAIqJ*b#1D_7yI{TJ}|RHe~a+C1wMDZRliMGO0n?I{H0_b{%zg1o!+KXV^Cmt?-RN zv9W8nb84GHAkZpo0^cTa{TJR-fV4sBag*E(J$GtJ78HA$ z;a(B5U{;JRnZB&}7QR(<`mYxlm{dv#fVCbEmwUqByp{%e=8nmKkpJdKz2 z9<#8Q-Z?T9+v5}K0=l*fMoe8J=HHxA8I(8cy_&7X^T z^KP3oYHx|unFCuCb7VJMDjf)hLpy0-;ht_!bFgMc@GS=43*H@W8!!#I8~9Et09ad8 z{Uc97)E$4&rfrX}+bYkd$r8a6QUy1E3+4{!82)_@P9iu>*2S#K^gS-`4(!QY&S%J| zn$e9^&v-^7CHt&XFC`gZPX!N+C)yK!2CN^-cc|ViX5OvHJ!|7wpdtB9VWyaorFL3V zFf!1mTOdkpXu<2|^=F!$%W&uzhirV)97RSfk_Pjp+`)<$WD!K9(*a*;>L1sx_f1y_ z)w#OT2)^#7GA2F6Tn590$+`<5)@`p_uo+%n?CRghUyT2$5tCwMj#o@uKAT>aGAxd^ zV9Y3U)eou7`>JWo_`?GL9{#O*Vc55-Jka8FrIiVx4%m77VN>!5TlAjs6CX>;w4x7K zepn0CKL;C?#a6=YB;wd@2P6n(VWj7ybg)J<(@w{CU`XB|D5PgMqFu?Tp|)ObMxUi9 zb9OV*1GsIq@WSqoyxQ(zjVjf`C<0Lg_Ri&2a;p;dY8z$xVypmpzZ+^`ihtuUbPYpQ z;kuianJdEC$jCom`Az9|Fo>({C^UfY9$sgf@}%aAp4C3_88w;yx!>1j7~9x7%vM|2 zKnR<#a8?W(HZ5VvbZLAj!Dp}CPiGgRg*w0|_tI1ibL7;!PUK9X0N#z9oPmMw$-&D; z35RuNaAAW~puonB&%co-tZC7Q>g7-M%5MdQ-?v`DSg+_t8iP^)meTlQ;WnQ*b>Hf9 z*-8uaIlC(;6mGnwoHy!ai3@JE7HXL6kElPgw%}Wh1sWFqW0I^`le;;X4f0MYZ!|Kt z&EETUkou(`muLY$e4pX5Z0iK^PHMhUn)l|Uyux#}u&b0XpW5SJ(Zz~oF zF8}wK0I4-RZtLKSPu9m;nprh_voC|&(ZRkhfJxxHX^~{vU-w(-f3#M)wO-uI5lNuH z2WmA*^0WJuN(yyOQ{KN}5biYdqG8}2_@(e`XSm4g;)HoIV!m>1cneoNRRh~Fg*ioNvj5U$GsrNpJ5Dr0YIWd=DqxeP2{E$wQ4t9gMS__ z6mZXE2p0Xab}5RTi_0S1Qjr;Z0^Tc~-4oB-Zk>~QrnBa$bbUWtd$c;AFSNdV>nH1o zMn7J*&Z_S_r!FfrQ|CI;nLtsNWF02H$&#+4U>(3;RHNe5z&c#yh}Tgx=E&9omE*5u zQFhMT!_b}<8KQMY%j%dR_SY#KLe&m&r=)#&_ezd#cp11M(K^8ssAS34@Pmt1iM|m# zZxJaBX0)4vyfm3|1;IK6#j^y9?gvI8o#zPGnIBC#!f>7Bt8Aol!oj5mozgN_Oxw+v zD@xWeoIUG8SooO0>b7&JGkmLdF}0EJINB>a|7=GsOvU(#r!xfJ+Vj^zzWNh`bp1r< zAz)kUcUN$skcA?Lq}zDZ$#|LVZJIqsLj${K0EYWXl*M|e;@c^2VAxr7wwWXvq`i!B z0LhNo<0*TjJ#RF>&n&l;JkOd;SrZ(%}-QM~8e}{m6@^{F&8nHUX5*{gEo%Tn!NYl9XP@ZzYvhz8?>WLErR2XKDbJ z{PbmdrwVYZV4hWlAP@F(2IzgQ0|$eEwj8cZxU!Du7QG)7#Dj{gDz1**3qi8zmEhxA zKx~M|3$%4yCc|Us)zRp{jD%Sk`QmTyZl_seBf49G7(vh;FY$?00r17qh^-0`P|0#Y zhMPFhSTaNL)^ExDabOoKvaFxf8ydie_iEsUA=dy;D^m^T$JS|pMn)I6r7}FWt&?;< zY-rRx(}}KmD%I#;5(K_bV4`odYWIMc++fqzr>SKeSAdBz=eZuG! zEBj)F%N#UkH(rbG7Ko@4nyLK4hQJFrwDzEKsnt{a`imYR53j!va1dQgWVH(6ctyQE zYMyKyJ2yq&!|V6;&z=M`@%0}xc(vQT{(0L@EqbQqoUJ~Hh4^?Bzi35%qq$iTA8Y|O zjMOMf{~OF&GSk&>Q-s}$WnX08O)F>#U<$Yn-co|@@JN;@d?jjx2A<3QIQF6jvg}|S4>z($x9(ahE+ueVkIiQDG5MzM>09MQbH#j5@xfcFNp4hg z1S!Os7WL}&*C!sdA1T0pYn&wWdjEFPp`FlLU&7VD{|CV9moP}a{ntZC2;WF1Eg|+L zvZLfHc6r=UL&dYgJ<;NS#C0Lnsi7LG+TEQ`ZtTO_>6`qXU-XKJ$BJ*!pM(#f|S&YNL3fRANMd#S@QK;01`qLLLc z=Mh=6&PkmR=7i$5N2aR1kbytATfmC+;ICDiL9)QF4_VI6nJP4#2GrzoQJlFi+oA7) zsM$DAjsmqx2O6#&hAarqw{8~EF^Te%8KV%(yK8m9PYArF?T#zkIu~bvi*&8do03b; z;xO>to+DhJ0GB_Oc;U*@R_L5i-x|7jES*EcepsSo@Ikvwchw&i!knRAXbORGB(E!7 z=pU4p3PkBrWQvDM<>-#1FV9z9YP|y$0$9DAR;#siQ1F$tiM>jOhX5PWE%At1PQ_a^V%72h8T^&{rxEY^a8*< zs=k^Eu9w7QgV3q;ittvN0B{;3!2|4~L*HtMbBS)(1=sA{w; zo058+;Y{}Yx3Ocns(wNz1R51i(VxeDWg>cuwsmuC8V`gYA@G+vrR_JE1E(t-=`ha= z9>krw+4nEh!u`;VA>uI)JYi`156c1r&vUh=jayB|7UvX{64JbmxK;;NmM7JJr?Nr| zTI-qmjhaJExeQYzbZlCNSO`Zldf?6_U0ws49<+NF!cZ%o9eH}C@(}BIF0Cj6?is2# zO^|a<{f)k!rUb7ZH*{@ubwhInmMTr6qt&)&BZodX_v653W@qMH(izK1mR{(@5I$r4 zsU}jvUA>`ErOpG5x>2pfTPMLv zlslkHX?nkaL3XSr#yWC6I&igW6(3Sw+wjVIfvYsnzse!$kEJ2u1rs zkLH(>B5iv(ki|gFljT&Vdrt4i9+<63!#rbYHtBBPb8V?$yakj;Rqq30=ngeBi||{# z?rDHz5Is`89?cAfLYx*VX#mU{Dv_5Iw}I;z0!H94jS8;-(y36FrRXl0V=1p4?vFT% z=;-+Z`VKWWxi6`2p3|2el+VDLJ5HTA>>_q-jSC$WlL1nLhMab&f`tYjc#kOcJ&2^y zi5M%6@dJ3R>W^_)d2L{;!sd9OejTR8c2ikl;=o6R*XO8ihN2Hp?k{96UsI*1Wg`m0 z(4|^SO=sE}ljlU|l7c2qYhnXydTd3fam@#GB#SJL38LkxPh*xZPAGJkI=lv0AEc`6 zFi!9+WP-7!Kla1m3_6YG8jTI@`BZxzX4cYBn@5I$Yq^yF^@m@AOT*5rb=_jz$&4L9 zMZ$273KK;LP;o5R_XLpUUCIkVWtmWIY|cVrTmXIwWSY*S(+eXk&>1zo+{IVnyy#!Z z0ns#xMZ2KLw_Wjq``H_4kqH-t%MXJ!X&RvuBAoLBV!#&IB+-a!GQsLBGl2K@CGBo` zfQKqixHvb`5qJECiL<{ow>0>Bon~t+S?j+TAxE+0yN+b=E`7;}B^2M4f3Cs)Oh#D# zJ}!@f$C*h3SmqwzvL+tLOcFFBc-MGj)QWgVx}v!D2Utf3GRuys#pJFE+s7HE-w1{@ ziT}gj82P8g7n%Bu4DK<^5BDD&!3R{ZSDNX?Y7twCmxo`YnVJ zVUH6xjC1L(KovahDvsg?~;1xFCt0-ofiSG11h`)@~k*EA%ugaqsI zzMS0rg%X@4%t#~r2mlEnf4h{&s>Tu`J62VoP&Vaeb2}5@q{IC;4gj4%vnn+tc%gz{ z!KX(~^^Kq_f}*{my~G&k?EvAuGI7vQo_T>j$d z8E+%IBBR+}pgh5#f2TM*ny_1NYB}8((zK0o0i(l6-?hVpU6ET>60bom4M9^H{EG38 zj6RSY|DB9zEgHrL9ghH0|B1pmT0XI5<{C^q`Mvd!dRD0li}lw6`Bu${m8uE zgWKJ<{;1)fauL)jK)PhKG6f2h12aKV1HfS5La3LQZ%qY(L}%g6{=j9Jzxe%M{J!~c zsxRhYlU)Gc>YEQfFyL+58Mp%J!%CsqrX3+r5Mz-SC)~mv@|OlK;18brS#^gS1$xh5 za2(-42Egs;zH!)Qpw&zfC|?SY8OnHsHwnK-eMuoHFcrHLXqA=pvKNZifl|rLvVOeM z=60!@1NG2KZo8B>zX6-nQ17~z>}4ap>R5qzQSh~9y2;jZ*<+e?46XXYZefN@_5r|n zSgO_~Pq&iqkIf%jG(Mis)r~&4(c+NGFhv$MspNd9^L+2i@|hfC;N6O-uoeWo^cMg$ zAYK%63^zxY-TrLFRMX(ghG+E3z=}A4e(>^qnc5!n!`qis8F8YV-#4c0A=crnroAQP z@$;#EC%+?5xq+iRoA7)IBx<<>b}ep+X{_Les%AgiBRr+n*U*4XOzJSr0R}j7wp4hS91GzHj599zItG>!NYz8z^@v1x zaHWs!&!1lNe7cv9(!r>lttxkC5uA#Tq#B!92dL`(YlEw;3T4Erwbhmtlnf<5z2cPI zr9if7`nIJ58KTp{lz@XTpHe~#;pdTotqZ|tR}OV|Ee?+EHz`NM+g4x%RtF~HD?;1p z2hRwtkxCaxXs!kKR)7_ce~m50w(9WzfRjOEmDevKLB+rmgHMZ`iH*A8CwU*%e>tSD z>0vL(=hLr>EOz|GSJY#uFx7y=Gv`~G&Fu;Byq%IgNGG6Y$`Ze#NlpYNzsi?=*+XVi zocj%JqS6|q^}qsLUG*Oh*JgKp<&GGBoMM zR<-kDs!F%N&4O{PO$MvL6-+@pR@!fmz^bGQ0zlnSnb?A^L3;j!(rnWO)q# zbSHzM8a_~9La9YE*1|K3o;0)Sn*F9Rk9Ai!E%YHTi{XE6!lD9i$)fPs=xIf}Pc|*j z%xWuh{3K<^GQR=%;6;|oz_E5`cPOyV@VqU_*&aR#>Zs%EMWfCC`j6BqhffnTR#E#O z`Zj-Lh#~k!SYmPUGj5@QXkb);cSi~UQ)W|U>=*@R8LC@mC}P2xf70Z{?$(0OZyE%JKzC0l5D1Axy03Df-HCfve3n@(HoY^3kV- z`Q&|Ng)Zrfe4F+1yO;P@_!N9)c{X5=Y3AW)6Zeui@MCBgQC-_Hm;>a%&7(sSeZ-ZN z{}fUseNr(9Kt`WpZUN3t8ce3L_vCy9)yFtIl7Zqwcj)}&B6p9Wcj|_r21JmKy!;7* zu2uZBhv^}oJW?{;ejjd3WLUDH-!)+QQYm~%;o4A6bSk^1Fo|fd%t~NFOCr)BTs4N* z8DUcRBglE4eEQ}SSBS>euA*Nny>dQHFbtBz z8V$WQ|J~-`XfQ+8^BWO0UPwm6W&4PCE{}L=QQxLPQ%O9iy;C;(=mzQ|tF>W3_*Q}@ zH>Y`=CGvTLWEjPv4&!HcP=Xg4xGRIaQ2P@`VtukPQ;k0vVxwS^7Mi3N~Zhan|i~QI;>_kk|+FWLn9(oed_L~@@5Jn3!G6-qL(rgF52+YDW5U#zZo|YbSPe$Xo9Me)2g|fAa_hA| zZpy;U>m3b5y*KxCd;shEjx1~XM^8#NU5miBmZ=P?dViaw!!A*!WR}RA8K7}cxW_l= zsqwG;+J_Gp;Bl`apNUS=P|qAKI9dV0s;a zQZM1lR$#{g&>P1HW_ysI-^%!jv`FIa?bTd@DVJ!-MTJn9Vi#RZ4z-744T##tMg(Ex z!2TFx>-|w)j;y3&HuV)5aOAo7UVnHFV)VxTaMnAdlBz(fHRTRSy3!OspqZ@u-`{Bp zBd*}_Xssu7FZ!`5TEH1z)X|vmQ*H6%VD272wr0GBH(yG4Wpd|oq#0$1ngWKoOD8Nj zKl0sh?%y8Yty*Qes(18H$KqJCSpkw>=KJ!J2u7MaVHpJPRZyatlGQ$g%{IYE++Pts z2m3|VSec=Lq3wDx47(|tzTJUDPCmvb#0zcyrNF$>s}6Vf*X#7yJ^Faz+)p3L)18xCT1!lwka2p$<- zhnZaIK;k&KaH1atgt=AO!~t+TwQQ!sDI=iUI&eSVrTcVBGHiihp%TOK_*&fI3nx22z)RPWktqr z^yCEQLqN58*;djfI*}yvuK6)``6k`cPH=-jue}c&NNfSVogXM@;A!f?ZI~}j z9Ug;$UmJlx#Y(6u0iNywPV3Ts+UK~+h5t?_$$&f!D9Q*D44dmEKsB5Jp~iq*6&8aS zed>Yj$3^&gT5Zy-Ad7&03PS)$G9^MlCs!tuNoc=obF-j>aWkX=AvATe@56oO$KY@c zXIQk1x(mQsfVm<#lvBC1T`fR=sV?BN<$qjY$1)Huc%>-2s-W}O+jlp~d=F5;KQ?jf zu8J2h%b9)7sTkJQVVvB+lguJ)EF7cMFmNrPe`A2gQc4CKmfR)$#IbrXs1<4me1Xbz z87DUuNMAvz8zFsjK*|8o+1#*1#K{@1H(;n>2F-=e#|=;UQp11uMYT##O|9}HNzI_R zT@9CRP8A?kf^PRBw2R4n1rwK6zhL^t7!79J<2D7BQ0MRgK1CeQ%UFf0uxMmARQXw zdN}UCeV5TWjFSLKII#dgO}z&!VJ|ZNTUv9x^*BJW<@-dk^#QIAwcB=gmL+ z-RhVBQF|~iO`ZMO-%KymNZ#OSN$1y7daO-3$bo%{noaXl98HX>Kh$MqrWqZ)j%5b4 zd4VvuHt;#5rF||d_H6prqNo$dQJzUEdiz`9< zbI3uLv5^(8=IMIG!zrZ}a0{}ZcLh$0Z+~<#Uw3u$3c7eD>Ieb}i57x6msU(_An+ib z1$Vrc^x89~AdNFWnZ=lc{7!G|$%@#f&5=X|_Qkj0#Qw{_eFCQCxz4FPT^_NP#vRKG)gv=Y@g@tg>aRK4tw7Tm#vR6{_^p=-$SIPcBs z+A{?3)ruYQ2N1Uu*I+lr(<@w9Pp!EFwIRqJB@&cWPkwkYpKFXq-{B}tLJ67G?4@HI z-u}2cnF(7xjxVSyk#*RY$3qFHHh#Je6IILC`h|4R9?!;QPgW#}xT>D7q{tfSi`bSy zqwL`_jJF?F=G`8Yl#UqJv;fXHi?g34DRcOsae!|k!$%F<(+Rn#5c}QBOPs18Ez?c$ zXMeXmbm^b{T^N5UUl!0vV1fb}m`B1h8rh*5bGRNr2RNGGb|+vn zJaTxOp@C^Y4JKGF(JF{reofHpzT)g%Jo-sA#) z%_C%$ZNr`eJ(+PM)3s0aixljQk_6cM1eLtSm8uDg8C#r>(1Q$u(F=u<=`Lmfn9kz_?-;RAZ;ON@5;8cK zbaxu)iQrG0Bh4lJhz}z z4O0G$;M*Q&K%zuEn@nU8QB&CsmYm>l&TGec=6Md;nyjiv5im_Li4$wM*+9Z+fwmD_ zNvPRRCkZ7Xyz6-E|L^M8hsTg<^nSRqz z&G!>Z!}^|N{^eg&FB40)F?J>quV20oU{2d3tqVRS8t@vkx+~Nq-n?+C&eATUnPv%* zkf~iVrx7npu<^Vz#|aat8dKisH3sDv5Dp0a#1nkq`@ih@54iKTvOy*Nr2R`$?)-^jI z%?b@@^qumj})!0f)?4(+GSX@V(NkN&6So#j$^{QZoslaPc^G8~-ADtT-ObH<6YmEIKX=bOS7jS0uX1W8j0i*P@6FlhiwZO$`! zGmbrdRu;1Y=U=!3(WtS^MGK>`(9yV{a{sO0BvWl9KRso5&?kFM0&=${oZ@gK0TZ-( zHON3kpYydzSA3*Z?(jA9zC&0Eg0JW>RcCO^%CKeQ?1+~gmB}or`H(-F{RviLTjVM` z*LsHHL#$7I+_dxT=paigvSeD%@pqtF=Zf7D`$fz7M#+=?6;Qu~r!X^{f}|drM{vR0 zU#ZeOt72g7E7{oDLHx#MC3^8#Vpp3@f8zIWI{kq*n>OlYHNfS4HP4FgakYg$Kj@In z4Q!-&X-u`Fb(fZKHLHLcoh4n( zE|QzQyuRdDJumIWNM3mY*L-Nt1)LWimz5tfSS=yO?G{kq2PpM!k1)H%pe`!DDzch= z!aUgr^TLVFw_P30b6%!i%@nagwCgq|-zjf^=CR0iv5J6&MR#d7w3DX0;{8ro zBwo+c#ck&f6MqlIv+P*^CeK;o^*lXA{e3da1H8XyIR?%=$63<#{Ct@sg;|lw0$`qI zMTsnDl$Lru*TCXSX9T@;wD#X0pjp!O{6cu?&>4PDny$gM=lc_Bk$64N$g06xNa~_0 zKB)y}N!Rm>EfqXd(6++piSx0s7o$B-yq;$=63vp`uwPcvTa3*-?fQmcTi}m1pXCYU zx}v|e3};E#^K-14wu^0v$n8ZJF4XgsZjsZ!Hz1E@ptCj^`&vatZJAAme_&^)m$JAZ z-uRia1f1kgdos=N4r@3PmBcZN8!)xtvCsm+TH7M7UZIK5szs|A#O7PD%Jg}`)^na7 zj|InEwx??j$X&^Bd^w{nv!)%E@=Mu3^EU4tXV+B29eRhU%Didqn1 z+Ahtm2xfrupY>9ud3h`w^L1a6Nm#$Mhbx>D;5cw0lfv*Nhn4|F_9YotcsweATC@f9 zw<_+K9ud`%9{Zv)E7bEqbJPe#8s2v7N}ZC)Y-QIIB6-c-q_ZIv65Y6qik z45x>EQRa*%a=;*wZMVT1JoF9x{n7vN(0XbxpnDJi(*XP&mxOP>_luvO7=Q?GY@*h8 zb%T8}y`04L!bl{CLx~}P)sodGGC0hAu?3DwUZ1F6^REkVnblTSf;5_D?}f2HRc%3} zOg6N^5s8!;5C5hn?MM4ynE{lFtVSG9+EZPh;j6N{^1p?uoK_;W#Zj}fOZOm@y%bfp z2g`N^wsRU*Fhx`S4h5Ocm9^uh)NoMA^Q+;gnYg7{osuDvUNQtQws_*=Q2rY9@WbK< z*E<`QHJw;s(B?phF@E-=_nceqxV4BsO6&~4i)6;7`}A@c9YARH`;HSuGdC8;8^lHo zeCE$qP9Hd8Cw|}?o^Ht4gUl32!PApn5R~sr;5w0Q__|m$h$$Fc6P-R)5AS8Z6KftR z{ve>v=4M@13QJFUwD`Uk*qRTD_2+Kk~wv1IbuHctqr7v8&n1c&Gf8 zh8}m^V2*|8j8$B5V;P7Sf-v^NIdY*ph)J*&2KSWJqq7R?7`b*d2OdoBP72laBo+lu z9L~HwLcM8AXAkAj;=$D@;YUIZi~0RQ8zx9#hpvZbLk$LbkW^7xV3o_1qmwOEEMAaA zuJPx;LcUo271PGErGsbsz=}e7_4eUy#&44~ZKFA}iQ;9F(^!$Bl=TB<{G(K_Dc+}E zB{!QNCFQN%WqMVt#4H8Ik~zNJGIgqtCrogZ`nYORFT%kR}pjtb`u ze;|!T7(KPBp;J3jxr#SPI2L2^kH3d!aC{Xa3d5@cqA!2_nL3tr<%uiM? zbcmt79TzgIt?9C!)BSvfBiQ;@H+U{aBx_D<9xM z-0bNuWRXqU*7qV)_}Cy@?#dRA*+9uxB)LBA419KAH!rv<@x4P?TAm4RjD5=(pk&U2 zjHk#8z7Z^O7t3OGqt%LINX_y^`#4n5AX{PFxP32~YBiPUniB`0PrIXDFTLzp-NL_w zx{>iW(m)1|R<~pNkq!?G$ykEfKpwY{M6VlT5CeU~3Z{AmxAl6jV(WcoPxT6^l4HG^ zUak2eIh_;C zMzY|$UNSSN_F9LN*`zP{(V&^6>KKvXJJwNMf|hvGot(QV#p-06b)I`O-K6{b_D&~qQ-=Gs^#Pu$ zKx=WVq*lJ;Pt!B<-8!dqQt(P0VRA&^vWjo`ZS%@mX6Q&Yx{oZ((X~`H3wX+&DUYEM~S9{ zv`PeOIpO3rpt_$Qu=qiYjJd5gal) z7vLTJ#C|l5S^2OanS~SVNHv{%L7`iB7&*zbfZGinQp&tDI~@#Vu6;Tu5d-BeOGh63lpJMK(vQx z2nVaWs^-}Qww*4sah?KUbbQWmD0)U%94?SvkARBGuOkOGsWn0}iu6$UYfQvyO^zyW84jf?K3XDo26XDq6m$8@iahsN%RQ5Qe{OMb zSjy99I*|`Wwiq=8g&d3Bp21bEQ?aM1Fouq?Ak|`*)?~q3FYMZzrwDjV?+x6LD^>g% znSX96e6%Mq9NO@LYa;*m=g2?*!Dm23;>JP|Ohbj&YY>U_uis%`Ts{fAmU?U4Jiq-3 zKL$%w>wxBmq&U8YbkdW!GQ`L%VUrjDkWm8x@C$$P&L3{QYsLqoLFTw#K{!k}rNj3Q zl#-!Tai6~1Tif!vRA7{zo+^~^i9KLut{U#5pe;&Lc$K?ID)e@wgNo`FA8tTeoJk0; zTg|A|>Elwu82}|miNpdN;I?nBOI)}p9DB~^>joq~l<-|{N}8iLIC%oO7;6Im=D)CX zUlmQZa>!a+2RN734s>EXMT_mSF0)-rTNqix-EHbM2-xXp^Ip^Fj;{71(~*`-}^! z;HfU&fQjd#yB8w3y3X((B}H(0p^bB0MDK-5fkT;-wJ>--kwROoPkJ|Xvt7ps=Tc0P((da{I(pgkFamASTm)U*l=-e0YB%+^ny4W{Y5chq*ng@G z?)!N~Of3?(OUL!VU_Y1X(xW)xaB8j79K^l`rpBhkP3aK5w^w0|dNU$KgvN{Xm*RS4 z^#5fyMUjuyGEbcYFck1`zh#o~EFEw&&pbOIHEwDb=Ol?2D~5I|m=Ope?l%k6aRdGG zXjt1B^<{fBvu25B3wW$aAOjL4wtjMCfjg^lKKBvqMirxW&tzxKo_b0c8%c4- zxCEO?EPD55S%##cJyS<4h^F~C?<_3h2w`T6s9e0-Pvo%da1N{FMenMBJUY1ZqpsNl^09ug(&n@;mIHXG2WjSgcT`>IAXLKH zXT_{*O)zx)}M+-5zTxc||AR==#&f5^s;wIMxXDqiXQ zI*)xRUcf#04Yfq(h`7FE{{nAVzOFD+6x3vgjIz2p@%;(uA=*V(vpW}LD1oW) zn6Bk>XJIaLVGU~@X;Yy8BbI^`+1+Yw(fw2}kkgp`nKK-cX}E04gcR$&BWDU^eAjKT3a9lI&Q`;aPLbm~e?;X4A4;3t0Y z6FYixV@5Ebb8S=Sb+xTczzX~!I}5Z|ev%$#er!5VaS+fMGi%{jK~_}z_T2`ct_7g& zds5NVSEu5FIE>#W+dFM%;_g!vMoOH_5QA@MXzS~kexoVKBB1U-l%WoD$D-a-Ox6dB z!sY{PS6Q2ReWbc_7}7mK|H(^YRVJB!jzPUjy0V3n?AzZ1U=sY)uBUlJLz1#Z3U~y@ zGi#0^5aI}UUXBgP>J$6c&V=Kqz*fRQTL8<%@k*+-ZQ=59cv&X)LrLrb%@95b@ZFT& zJc+A0*=KAtu|)D@2TB4iKb`@|6Y-qAGuV(pu#U*UeMa@)KBe>97NA0xv_f3$Y_P+p z$Q?!-$9{wToN1kA*Y)Y)hEJiRss_&+BQ>7^okE6LUh*5w*bsJj0&uGpSuthY@iUT& zWTpe#Z2|C9as}!&up)!bFsB+1=hXjYlirzinvhRI4K4+`+T7Kr*SDWnG;Q?Z&=Ldq zLl#mCvZ*azg5DW*T{5zKgS24>m#bs?`kH3xsaTn3Zh~hIU|0dG4&Fk>-}s=gQs03> z4jAp14x$Y4Yg=#-9T19x5t%p?z+U=OJi`1s_K4%_I3s|sMql@FxhFniC!-#~qJEcST`U$hPY3*#r6NLTRYjYMhbp8oxs z=EWX%Y`Ftuzg$F(S%LP65>{mnw@`K)7(N^9)@YI?aI&iBepCM0&jG8z9AGcyFaP#X zH^6CFi%2^DpG;0Yv z&tyYuPiaT?;FgY&+1t-E(qtL+yCWC4w){eGrIz8;+D>`cwpV2v$-uBxj zjdk=!0dD)Ej{cOL-tt8{{KF3)*td3Vxi6RY+VcP0#eFE)+xKK{Q){zN+XK)C%$CX06fc|WYu9S*8LGO7 zS`IEpFv=a67qrK`*VBRxkdBzh{7C&pBZey}1R`0}Ws06Cyd_nd9EwQuXK73ulXxt+{GbVF6Z3UsVvFPVZm6tNqfNxR>y2t5Pi zRM5^?k`6m=%1V0a0wNE}<6z=X@PPnsPPp0}Y67XR*CtI%ny6IQzH)AoP5Db4Cnbo)wi^1MzKVbw83_7Rc33}Ou28aj2h zLm9E)2>yx&SA*DoKljfY?M3bg5TKLoVr)OJhdy0*(jSVB{{75v`ufv3yNYGxS1~2Y z;E_Av?=>kuqtkuH122C?wGWu<(`EeqA1&!dz8BMoGouNi z(`kv1pn}PxNM{*1g5hB9s;oj1dxCrFo+4i)(uP1aIsepf{wul7e(`x`UQGZDMnHBIq zuUX-c?S{@H!ZWf_t33P%J*F#@gfdF^f!vF+hlfdK1_QZHK_m}c#V|eQy z3sFQc4pYH6(UOjalSC8eimmusnAhnh7o7P4yXr0ZWVCFUAjy9UtZ2y`!-+t0_`!z{c;{0O?u8{3JQZ$O$bK#@ zI*D|~OCg?b04Yi<^8xqE<|D2=-KPNDHuNX&DGB)!^vSc0eeqfx%D3-uEqE>fjAk}% zI*3HRrII@8zkVRZmi6h1AoY~eA84B%(sMM~PkjH0RyO@Ne6ks6S+1TsDy9M|8mWcN zAQEG)aji(0{u@2HzHtIB?6C%9&jvTbCS3I%Rpl8cmFr^5e`8k>upY{DSJ!%#{3nN% z2@9&^WH2Lu;B>`;yHe_YXt4j}VqByFL*@}YZLf8IBJE2@i>mGgqDe%8r+~?VxPU~7 z1jfJruYULd#SPMuqlEa0PbWXr9`FE}TNk`<;TTi4@D?;mreFgn&@+wNuAoyVAgr3b zDWKZ?@K7AF_-lT6Hh0;^0y}|;>ohm;Z91bDxHt`5bJvslj$QubIEjldw6ruvRob!{B1p2jK494dlAY^2lE11-6!KqHX^!V`?v{KF z#*)Yw+5v}iSrF(`b^yVmjxIZKwNzOpwv^;Jvyz;I{~CLaR*=mF0k~cIoI|TmTV?d=n}SrTF}}NZKa#^Mcz7c+Fp^ z0=Nm@*QdH~aIZMVy|f)kbim@{D#bFuQbA|lNq%gv_sX5_$2bdQ`1Q22qD1w)C#{a8 zKu>jiC`EXYR)oLW@zfx^bpd<$Gn)VH*a6P~hNYR10gnOhx1N+4CsGBO!hx^V&h_0- zRtLlK1;a3egY1hl15K%pcWmF&CWGpuVX_7{{SN;CTE)$Ey{+ObWA4%lYyoM0E%;Uz zjTpvMx?gX(KDxO0I2nh2UooZH*Dbf1$}IIH1zWzkpE1&ly=2I&nouROt0 z6f_fa$Y_|}HutL;d`zkhs~FSyNIDQsT5ygoJCHT2rKwfX^=>*M==SeUz>MLq_IRA> zI`aTc7kQGI9jNB3!M0@u`clWp)u*B(s^@0(qqX5*ACqCl4d6L2rCXqF@~}iQEb_NN zX;oEGcQy;1QSUu8<(BN~N3-HL?6F?!<*Oh|s&-D=f77>Q@fSd$lw4)>r9`y~l`{18 ze(=U_xLf+L@lZ1nvs%)TqTzBkDMt!+&rZXV$J69At2}-E`-xU^BuhSix8za3uwxNBfKbmiH6pu)eoy*IzNWN7ES%HThhZn?3*DWs*=7Q0=+kmg)I?aW%4PBPnA!$j8! zZXjdKpp@EV-!w2g)>=O6YqBVsV&8xXL*}yMYMDy|hyBG3wYGb~YO!oe^as8ZXN(up zIe@+1G<|kZUBUtGQ*ZEG>#O?0&o*eFJ=<1Ph18a(_rHw3v6#`+xj6pr;pn;6ewlIe z@-KaJ-0%w&%6Ih+R!dFwfv@+0AFq~Qz5VH_U~bKo(p78#k3BHY$)Hlj25RGQ^%W)) z!if^CMylD%u780?z_6Zy%hZehpy_?6&u4x=LouGNmP1e5x)NP?%;wc|ic5Q~u!rta zE52wtK0b~+NnXIMb{a3w)lDNO(AHI;ccmCt>l>xEWbur`fL6mLaINXxKp!>zFSEVU zl`&)YFKwf2@KV5CH)ww0M^VP#Xk&lI9;jxFTA%*SKAlws?f321`X;?iKe0svcd7u@ zl?Yp*Qt<9)RZO$Nhi(XO>NRz~W(Lz5IY{*WmZN`Ehq!7M&GdwOQ;Op(&3^O2DTY6T z=Lotn1tl~(U-dq1cq-KPzzTYE#c7~pf(SLKLVf>awVa7eUdP!>9AY86IpIPCZ z>V~aXwVlL{-Yi$QT;kb|7Ox!K9=w&pc6HbB{y_^Q+e=x|tSr@0`XSM=^*;1I*@bIU zaM-#h%my|P8-V>*fUvmjTwga7bVoMt`N1;;Q~eTJQ&(v>Tus*r+ zf=*zCd4>;LbE^9)A1uxw)Q30LW>h#chy4}B!*oMqX|F{Io>a9U!sUX{x9E9KYBv`$ zN$>9_z)e(Fx_7$6u~!b1?#(HOD`l3aEzey*aTchSuaE z^f{@n4!zH=hqqpjakrziCj2vD(VZZ+HMjimSab{g_(YQo+rv0kng=_LHqV6&Esom{;L`VWIV$q6Lh}i&(rB{A=%XO5>h7kf~U1wA_1&W$@n}?e~BC3!?&HrkiK5(g^XL z2DhN10UYm%^a~t`edQ=^B3SN3Mm^YRLGU2VtqAT22M_U>A9JJke8V}d8$EdeUi2vK zB0@p@)g>AA9{@sq`1p4XQ=ik$aD)f>Rd?2w@_*vkPhP@!kgj7K5RS(WCKX>F-TGWB zDc5;&LwQ@bZyd>2q{7izor;R3`r8sk0ET8u(>tqy_ab0Gsx?3f4Mv}Ec=it=3#CLX zEW0USpLj<^@J4H#3cmQKKGIrFop>ZGn|{sG3IPU=#8FVaUzz0NZj}Ni;tW-t0yyZm zB`HW?T9Y>F^X1I&qXBp+uo9zv`@P#(4>;VzFJh=2&FeJF${ZVw6I$^ia$=~83zDI8 z-139W6Ed z>HnqAhw2DNjJzbat*R)(qsq)-%^*HhxLx-Cf zE=mP0d!&wyIW8OI3fac=a#XA`+0NkVTnb$3ieuQ0XY76#-e+(C&@xcH7y?Jbjg}c? z&6Siz#rSs_yaB3x4+}?YqZ4~cY)pU>EZ5@snU7w2S-$EN+C`0cE}(V48frkO(Td?< zXiNCky*Ty|W-%Atl)xp}VJ<3ME4jwHm|wT5d7c*oD`Qb+S7Xxc*@eAp&wZoURj^Dv zJMn3%xQh}wKCnh)_ns!e5D~s;DT1-QFft@eKE0X#+E_y3O9R9Use0 z<6g(qD)XF9MjM6Ob0v)f%(GF>1?_4Q84Nk83oa+t&Ft_UM|96ZZhd;}_>G!$ADL>5 zS*+kiLf;JxcUfyn2`2AVwc`006JZCPrRI|5j^TOCQH1rJ?8#LdpuIcQ>o2wcH zfT8$gTe;3cWTColRbB*K6gOUo-BX!Iycrk$$7u)>&ln;O1o3^+c})!m`*~qeY&gE2 z{#NBJCK#C49qNoR;(*0&wU+Qu()k~5_+(bdp5O&`;$WB4tEj1-n-1|@pS0BgMj`WJ zu6eelV2#4lf{uT_0%Nf~*NAnoRn>Dd(loP@ctXEm$=S}hkRW{!`Os9evTi5+%@p?h z2)IwSE;d_UieyDClmV9}AR7?4T$9jTliY3=u}yZYOC7G}(x9lYJ~n-GRU;Ebe&iY- ze)!=7gD>(yWBijTFm(X(kT2t()E9--Na{G}xFCc2nmKYvlRS|=esFNE5(tZ9QNgH$ z+n@JD_QXR%pU5azK%_5JH(=($(?)DawC z^_6~!=?9k%lkCgZswoo%%PjB^3mg{o6fG+1DavKo4z-NW01<~OlP-#G>ar^eMlVFK zQjaH8fB1N`beO(c{u8O!2hYd*1TN5rHaWpfK7ZpcM2xbe1gYQ^!F&(2OlXF!^P=E( z9ZU#kQ1KLWTr8O0LljQr*nn2jSx!cR4>}3~l_0AxoB9eFVKsJW3IXwJof>70&7vCl zTLRDX{WXG=LwagcfekXVeOYXo&B9Z}AVETA;2KHFob!dsiG_$IAYJIKQl#9nmc&A| z5!$3}R_ReLDPlO8$+RJ3=THhy3~NJL+_snas{|=^dXU3QTIO0eAhg*h)w|A+A_Sj| zYA)pnrALJNf#zhD9c9@KOdb+ie&G4;9cGj{h0R2J6FJn`cZgAN=g$5^69@J%w4@A^ z#J@w0a?>WEZlPhaX~Vlii?XbslPJaHq%0Uy=%*Ycx`G zQTS--df6jI>bTH-86BiUANUaZHf9XE%nhEXWe-l6tmtr`^LA`|sl=Ti^nyi>ld_9g zkJHiOR*^%2MWnz2Qo!3von7Jp3?H-1#y!DtL}MqK;zTA?uf(5i2W~<}wKdyyN4-g^ z)+bd<{h{v=$lI2_n`=(r^^#zb)vz5n0q5n|zOI9{tj2bc4VEN}T>jb*6gB`GPH=*s zk%r*rkI?}TG1*F7XWP?|KBs5Ij{YQoJGuck?NfQED}b{eUT_x!IGnz1%TyAPz9MVR zs@{IyzE*F4WM*x#w?=p>P7#m>brEdag6i+cW*4vI*CJ)3l9B~aZb<4fw00%@IWhLt z0wk4FdEl~%Eb77oF5wP{s#n2zk{}E~)`6g$T?t=Mpr~2>0dHyrQiM+-lwWM^+a3xS zu5_e^_f`ffjh5C)TAqs%Nuwt}Hi92X2*HG7)m_hpa!hBM#S-r#d}KJ`#iUUX(F|tZ z;q@xF)GrtcfZYI<8&~M+cbdmO?j%DuphFkgY8^B%ZmR(F%SNE=+25GeHQx!gbq^4T zFa~T!7&}2^>ILD&Wp^1BqzOcwSu8hBHzXX;WBzf-N{!C8Xu%1z{LbmXsr@ z9oh$2t;>JmVzVMY)CdGgs8JLe?H&q>8_K)#vP519Lefm-#x_7=!pQf7c@H9z+*1EV z;VCOA#znd^4Y;a#Vkca4Fq6$PIN}I&!2<&BcbN2AeHU||vZ5XWULqsA?T5Z{Vx~1p zT+gxRIVwI^J`Id{R0TM722o(v{ zQ~$GsZvkEUTl3YTl??1V_ywJItcZM9ta}4gfSa23eGnDYN0ZK9q!PZyLmaME_%EcC z6Dca>C>6wsmkd_JXEeO7IDslOva0@EnA;LC;(R}q;U0p{^!y!K2oW+nQi|CDpl%0_ zT44A+`s^STNVG^*Z$wYhf&vFhTJ_l9R51vT#nnriz=xOY-$XSl{ZGYEUtAMuQ4q0uiT z4NYb8BN7yFWqk|INam2D&PvJBHy;oJ0B&(S({mOtj7Lb7#O&u0ASH)*JFd&Ow7Jke zE3`7tEy-_4nLT17vPHh4vsA$^;4dXL@3W*mI{M;lVzCH`Zt0x+_FsbEk&T~O6X@vs zQWkhyC>zjExgt7>kT{)YPyw)<9&Z}30}}-41zIqm*UJ%5M!VP}O)yWgIu-pk+jj+= zE;w9!)A019G1#O4BADfeSQ_ll@{~GcMnri2&}t3;IPOn3;u$kG;Wkh^g}B1Pe0 zu@uAQF(l7Sy6W>wxg*{Ad}5CHp+93w&U#jxHcbJGYezZY8K~vIeDU;1tVm@z=0O?0 zeRnS9mI0KWL#2)>5amv0-jki$jU5808p%V6sc|A}3iwd-JP_{(jI|fq574c61vY_b z`iO%^BKb_xaE_^)SG=2~FF4D;TAY*YDo4QZv(HZZ$emUW+%>g{Xn>+Y#2?v%$Q|3G zWWUH!Rzy2Y2~s5)m_qKCL)xmWO-zoT_I&B97vsU+%{0~d7;Xh@Hzo% z5PL(9BkuUZJ5>RAAJBWKC{t+iIN_C#*5g&9mW^)u7thVm=l*B8|YQ zS-*nG+br5M@(SUgrYa|blt)+h6>m?=74i064tBr{pu+oF(^1iIhhYt}=&=6Pgrx$f z?E8a3)2ONO;IT{dda78Q3W*qHiF~FmYt#Ov=o@b8rfg{h-^rY`lMyw2M`I$dxMQ=EfgKCpGSEgf4Sm`#_0avvf#BR^nAE3^)(sZS z+jr3K)YCPVVnt={ilurI@WcuXCQUafH$;@$L(4LgxuogH@lrwo-<`d?rU0l8j)p^k zs^Pkb%;218Uw!*7RlNiR-vPJ5?JJ*sNzjzeCu!x~6`H;!%y@dwnCXfw?U=VK>6lM|cYb z@@5bJjvQKXYz|jIAeHXrq{GHLMfDnNT63h|BWi06GLk^qY zP$ySDurj|U4$}a#%z(#)#}7JM0ONI-u^Fxmk2u1nWNVql$1_}`B~+f#D!x@HL5!VR z)1O--FN(8dHb6#$1BXmTMETRA?5iyk1r{FxidcO7Sf7}mN)yb%B>VygVkJoi>R3`< zywIUwN=%h1a)D^#)QnmE?Ff)0H9MtXz1r;0njjhV0u`x?L6-nh4z5L6p{1s?Yx&CP z9#h*FZQ1C#Gu!*=1hSr4wP>R{Zm>gJ0N_cRL#+vs5!97cKlQMETM9F^Ycgj#m~Hta zJ{AZd>aFUUB>pk)5a!9$HOGOC#Ws+4-`*S*5fOO8St8`H-2&?2@)M7FwNt_JR~@yWiPO40n}#=vvMurq_IlCmu5-0QHW205 zS5I>WaOP{6u&w$S190=k8wLwrw*2-E7h zXp5>nq-Qg2Q#}Kk9$icO3qp=oGEu9MrT&*+Q@acq1|48u>F^87X#>iZ0*ACc8baB& z;?%sEeq>@vt3AWgHb^tPrkescNpSdwFTlWZtT;+>O~EV~OylapSf8GV!Uzs0G|=aQ z_C+!sQtY2n{t}OW4rhOsC$yFF`9r}VAti_t zweAzUpSuE2HM%2EDzym&+0i+$WWFZ zV}K&}kYB&Fj*El!I_gt5N@n9(d@M3KRk#DwbL={w8qhMOjTBzE_;5H7BEKy zs4TV72_{ODgE_m6C zp&~*=@qy(8uE_f$A4&0e{xcO#rO1U^4iNUZbXQg0V`&dh6X-mT&VLtkE2LbPw917K zQvT%+WQi`88(zRvChoimvmOYCy34cE_5RHfGyQ8Qr zqD)AW=%V3R>39;w<-dsj0Zp$Fa8^B*@Vu4BJnJI=$*Qy!h9&kM+X33=fB##5$EXS` zafZkvbaiWmUjqQpt~OS~H*^gNm-Wc}lYs@8c2dhWs?G`mP^V1P9O2iln-P?Dh5-aQ&;n$(%CXhy{AVNt`b-hcM!c=J=PiH0{ zy`{#HUg*e@MBDxb)T_49(r4GUPQ?piqO(JBdMyjCuj{B1fiIilS&f_96(7mGw~Zrx z^a6O-mmi0qg5YbAQMkb;+j*fBh@1khT9(yUDiEH`5F{DRTZU9}hNfjyOZbHVXRNBF zW7&g`B!RW3s!I0E5#gf3Zl3XIFen)Q7ag-F5woS_hfK9j zis)fQ>c^)2RmY5qX?RiYy<8~ zYQarYCJ}6ZwEm1upM&fgw=|TLmNj1}l_#vTv7`t$VqKbbh|Gy-%^SF61Pv(HiILkgJRiw!UkaLah*O$>sV$KK+*XWmNH3cqz z4Y5C=mo6M%FP{CBX$HQM2llUiw0u7VDG)pG#UkTbe1%c8%2heoi}fPh)_OF zE^$32=c>N8$Ih1e(auxBOW?tiZu0^=phkJR%wm8-y&vL71PR%p67iIXJBlPMajc6y z?pLN_B02_$jIU%oizeNnD2Cu8+Q74v%=2*?cy%CJWV5n-05=3C@0NIfoOS5$GPLXHXX3MM3eDs zd8AUk2e0A2!Xu_y4Q?D$^?at@^^L#zgAX6pT`@^_i^D5SDdiz=1Xhnn9oW{L1>Ou0 zcG^#LNTz`V2C;9!H|vBW+J(;=b7x8W$wlaQ@|1)|47M(LXZd)O%n2M$78@bLyAT-s zO1o5ATCeas+FS}Q7EY>UI~kreq1hbMDyysG@M77NcxmR6U8F{MA;>OF@q}&FJO2TG z^Lz&YYo4nRa_&K5MC?D8p7_ZXoS@+8nxJlI1I8sV%lJO39lJ(?)*%oI)LZQLblXOn zl4xUK{2R3UsZ*&w1mhVDXZ;p*R5ce_50AFLZG!oRJ*5q@t;(MYYYGkRC53~hy5rm8 zezeK?VSt^*aVHGole(pI64%E-ydj-bw%aPL>P1xNi05))nzN@(;cy!qETgOsY|LVrpCY}ke*r`yViSYD&4Wv zd3Hccz~x!F!Q}=l<@HuGg8o?RoeERK{eIfsn>^#Fr2K@5oBiSiz&`ZX^zL8^oi3o_ zdBSZN#^}hF^6pN*Ch^#>^(B?lR8@Ui%$JfpI%ZyBtqQlWj3>O`Yg+2GO0Kna?%8<= zNAPL-sEWpxI?mF1?ci4?>lvQ9*@5PK$MGw7sxU22z86tB8I&xe4KVF@$NK)fw^akc zGf}-50<|pnrSLNUR1e3~fR=5VW{jXvp6)H|sh8Dw4vOT2$Ez#*Lw9#)U*d^$V70~I zf^49s=?k4WuFT8KPiNY)c4Y#2$Q1qw)HAs$2q!d)dQcV8$;Sp?XA2!8ekbz|%zhmm^a3TJzD$4|gNQ31 z^5TSjME^OWpVh0LH_<)f*S10=w8lX~zsFY9e=LsTmoK8ZK&ceUJLNbd z4Rl0`SVUcLCsOQKb^=}tN0n_c{2$nZz}XQhMnuvG56sUkR5Fi>ssty;A#<`TCFk)f zIr8`xImAqvn#Rs=RKw~hfJ+FHLN%BC zvtWL0`SP)S`xD%l9iEFSZ-HOt3}l0@b=kq~GD~yuz?=<_w85W0eMBx_-w$21={FnF z8fn)e3LsSd4>i=9bVgUN5F+nP?+3AyQ3o?l%?U3lMP;&taz~A@d=9G()m@zfv&$6*S_*^CO)u z>Bp%g*AhVa4!v&;rvAJb9QqVwnAByLGAnhv?^6cgYPq<;dvd-K2w->@viCDe^uwn_ zD=`@8;mixe&t0y#eZAX898qV5Gj13AHeSRHO$v9P;;$t1#;nSh5}_B2k=9TJ06{>$ zzoI8st3Yf?mnaKjR`eFW+9?9AxO+|2cpXSilSL2PUzr0in^x?WO2xOS)I>>E)PP;F zsY#)KNpBB*cFbs3=~ah^PvKVs{C&fyn=PFkpM0%Y#~yuq(b=@J07RN1Wae(W5%EYT zovci&$HfF&&5A2S`=VYfnUrjJj8uSp-TKZ{cFmQh^H`5K|0X|r48!eyHR3?SEp`LD zkVZPzYvEf$6T&p@4Jo5{20L6C?76g*96fpCqPhaY83a3ep`oD4U7)9~@6GJh)=H7s zM$jNG(Wmt@wpF}V!Iz_#84YE2>6Hx4cRP9sjHt=2jbyBd1<2PW9H(LwiB?g`$Z`@!J%=u zP|-?--(kxdiKC{uWSbggjyXdcq0dM+B-DDXc+$cGN|uxH0!X7TQ^eF!NAX=#^TktL zOA|Eb$ues!u1GH&PR~$fU(j55tkFKfta>PV08YhRt#>?S zr5C^x7GJzth6?Qa<9XlUVi6tSKsg8qF*d^tF>QVf)$mt-U3pumE1Kb4!LN-|d?1}^ zECI)>iem}n8YZ_)bw~!#a`iZW$T12+{`V0I#AZCgZ3i_HnX!|Gi_J+Olt)!M-{myN z$3k>yifwhB%RoQS`8Pe3*&x7C0th8ZUl98T?vg2e{C!#izl39XDi0vvEodRV7Nj1B zQ5;bS+H`|Urd^FIL)?!Td`$lSvX0ysnrH0EQx}d93-Ee}*Ugr8tO79lY;r%R4L}P@ zIu=yv*ePknekI!q3f^KcDx5NRLNxdc*TrwimL6aScjd09)8-(4MEWZneGW_pNWboj z^0=t4|2@hM=nN$ehg9YZN5-gI0y{8Id$7@Dhq~{~$Nvu#3RNIC?(Gj7^ZD)PyJk6( zHxql_&WMcI95}ie&F#(gGbSEicYF__fE584fCEoYnRzX=9EpOD&(z?twuzG)McW!@mb2`KH_gOPLP7v{9Fv zCf(E88NNTWnVaHPg_IT^`AUA{ql10V{Hd$Lw8bRmgrUn~ zz7nIBEaZIEH7;;;*kNs|Zj|^^YA}d9i{5d#RIPLHHfaaoK1KTnF?U7G(>urI2jp19 zqCspq1NiOTpG^Tr2?u^?vv52J`{RB55mD18>7qdIA`*1m1edmOa2*7L8$od|sH?V^ zI>!mZFy<^r!SF^{xkZM*aF`^&op@GN<~RurZKaLR<#{>E zCwJs=!yn1KpAD|dgG&vU*{!m1?f0qydo^#F*JOB5cA`k0!^a#PTFs;nx)c}!FUlFg zBlEF2B5r-0Sw0|(qM4|>6eSBAvAYGx?nuEsl34)Xs=P;Z3~=Z*(6#vgKdFcIc+2+4 zq(7$5#ib?fJa!|^q(u5+&_T4;v+_j$;1P+j&twtb%zXBva6?bT2VF!*rKNbl+Nf(l z$e@)BcpMfT)QTJ4h}t}dwI$Alda*5%gJyA~HJCEi0#^NXR-eFPJn6FlZi4vBpjzB` zO+HqA)*#qcoPk)w#JF zDFa|^;ib6E#Q%?!0`?l8=A>(RE{K{9#oKneT&Hxt<)n(#uxN{>JVT_V-VVv8Lu^&i!qgj5h48!~^%euU9iWAj>U^odkyK8p63fG`6gYS- z0}p`}8UUo3QUFfhhi6`l@4mc{!69H*Y)@KFaJweM!KZv^_JwRa8ch#m9W4x#^71~X)6kTTx`@tm5$Xr{dVZoa{+}Ow_&`P+ zcxTkxC+1*LG%Ev72Osk*V_(B{lO0FF>B+8C{LBb9*C$&c^}iIr*#Mh4+!~pzoIcvd zbJ4#2cL>v}%wyjmGCvkP!|7p{-~3231W2D&TSVBH!^5AM18;;K2z-9PbSatf+%v%v zeXIrDrGym?{}0L3gHx~t2un$di)r{OR4>$4&dygaez>SM#6v~Q>4L+`lTb1O;3Xg9 zF))~{+^7MGqXEtu@cC_bc+?N^c4>LulV|KXq=8N#J39R5bY8Ofu_Reyg56 z9m>uAH9hVE4q4B1N-nMzf`laK!hC2M)N8{#dBY%VXYtAAXHGzu(gb0^T$9-ZEW9(B zfIHmb!Zl~^4F)2|&imV@V{WYrj+0l@`Nf}_0@9odEq zoE^thgS>(B!wNu#h=3fj@tWMi;ecjhgTNV(fDCVdd4Ix9+jXjuM;1CV07P47?u#@x zd_+B!&G1T70L(*imqB@*X61Vxi~r((RON%NR-swZISSwu>elB7j3j2AkdBC1&L68C zl3cf^)hE#)3{?SU5E^QUOVHYE+tTPsIs$k>x#eKEl=hQG-8q(p*{A81Qfc=W|HCMokSs!}O@X;DD)bfZ5sn$vyxVJCJ$9B8 zjN*>n0c9B=f}Nn7REVWfF@AK$h8l5H1`b%_=Dp@PjGw0{L(9#k!c+Rud@fFhc9MiH zma0#ZZijgxULA;LysBw-p&fV+e~Ljg441tPuBxfkLP~BaLITFiWYo&3-NDUxIhbVp zBFzu@;6SM4Ssr%*@-VOGFbw%LXbvVC?Z7qH0TCzTLpQHM!B^6|JvFBVi`iDu{JaVw znROZBKblsryWX$=y0j1! zTDh?p-r;Gf6rFkiuoVzF*-INTG7j|tfm{2uWak=j#=S5+OXQmAHlw3A9!0YLY$%)} z5kB-VW2*jm?i=?1P!J+h4oA3wANXp`aJ|nEm0*V((d08lS4y2zpG1JZuKQ|?=sQp+ zr3$7UvhW&ZavFrBat1R_iuEoNV0g@7Yhcl3(Rk=+Z?#lsER~Y@wCikBfiHx#i7OS9 zKCAwEM&bSHd-msK;NH)`nek6V-dg*EQGC{X_tTQ@x@7QqlFp5!Gj_TE#REMrln$?O zf;iw`-*AfrYO8y=XkZJXAKVDRYtC8ghgM^R%5t2NjWA( zgm0Il_qjRTThGzwWDvcp5cR$fzd#|*@CtAU#L+%I!*-|Qhd*nzU#>2Dko%KC# zUh%3*^+uTQJ9*61@_HU_sE{R)$2)rBGqO?;gp$>#*UxNkb3a3LecihL_b%0QK10-5 zuduG;sPnJ*r*C8vx3 z_rLbxL&t2u6QzT-q;z1~25@;)EpWSq32mama%KcnVQe%7&M{gF3B4WUon(>TwNif0 z;*cN3^wlt5D&B<^-_uPg9&qfoLZx*nXxX&zZW0@){eP)@mtIMdEIllHx`%{(^x8>~ zv~a-H>`ZjkZGS%!AfdH>fB-=&iwKVhzu^%c<&S$a?n0s(gg`*xS_HVDN`e+Gfz*IK z(-@3~6oi}tv=E3IXs4|pKmZrgf&-AC7CPTKX71)55jV4HY6j9wWoJf&*|FC#vtwrG zeBU!;atSrkRnB-pP88_SQ#zLcO_Na_@3d)_NXnYaqV;&5F}cm~BxTwhQ}>Fr)5!bj zO@VVxuN1*|Q~&5b)G@X|+Ppn-*$u`lSvD|ZF-Ag)!BC>h%=r~znbwp!G1gsmnJ0_& zv%y^AmF^VYcBlb|A!RYQC-{>0cgwMpa2_q-ssn>1Wu=T6K+R|ZgYS}&Ht&_QOefQS zF7dj|072e$)zzgLG~vNAq;6NGA%JXO*4?;E&$tM$lhd?$Rwqg>lS5{kA>X=A9?w|{ zMT4$+#I7?YHf@+c>FsM%I!Ld01a+u31GHaf_|=czykVAQSX4qkqhCv`Q$I76Ied%9 zkLLZpE}6#J^KlF27lPy$GN3+KLU;qN`Fa_8Usucq3lGx)I8&*^;l{j_$wk^EVhbcz zO}U3)fl1eH3R)u`Q}KHTBm|!p1Kzc>s{r;}f%Z6_)1+O`psMWfuft153O}2Vi zV?LE=Jl{cvpI;;}hiiDf1nDfNE)=g3n_-P2C8c|&2~8V|$^X}W=gk{9^NEMZvMuy~EXS^SoioiJout zKs|IS@pAD#MrB>T4W@k=Fk4;ItI0+cPb-IAS|r#TA^&OvK#&HmR$hN-yeGuylj(Be z3%|fi-upmnI)jCz*?g|#*aL7F0(V#C7T{+$TeGXFZ&ly4cma8j5cbBbho4zagoOx! z0<_Fw0Xa18Tini*LB2k`^FADEw|r`9hKB>aCv}sLO^rk=X8!)%g4lg+2Np;&{j1}w zJuQG$PwD`;mp!ctR>RyaLVWN<8*t%4;aN7LT>zb)_+bj*m>gX&>#;rAn;S+teH_}$ zJC6}rQ7sZx9nS*661)!++Tsou06H-*kzIfGS z00abSP4x&GD%uvxc@G^MKpk^n(l>c#n%7BLx^* zHMNG1yvPFy!}JlzNCuX1Xo)&5D&1I-KxF}hkZ3~j%tsy!MV|#6})0y_zH&aX&;+6h*z+H z?=UXZ!_~g(lzUM}1#!ZZ~uxlWQgh z!=*_o>;3&EW$6CTmmJAMk2c7F{e-Jet~QklL;;`)4l)~cxTk)pDYbUHp=Sc}?^7=A5b<{^S6&W)T&6aRHz36hJr7xNbHoa` zWxP*Pyu6kt*lrlJ=J|FBa{VD#YR86;74~qQN?Kjk2*c+R^P45+X3w}=idgPz_2L3~ zk4`AFLe2vp?B01$#uM${4bva3I+!A$xFXvME1wdHpVrzXyjAwnV=bEXZ{dU&jwLo^PR@RHJw@Hn^~Bq#Z1hbpZpn)PK=yI zTMzBMbi8eMN-rs+YLcY~JOb$Jk(S<&ag|S`p$Jpw%PO*I;+(dB*oQ7i%os}*5#K;m z8ka4&3{;y&ys8$3;1ffObsz_Of(KB?=g|0l7%<5Xyu?WCS3|j?Wd|sx2w;&dM&5s{ zI4lJpKVTx3Yk_EddsL52TlKV+en2abL$6x&5ng8R89Hf4jo?83WjSVLjI`Z^`hEPb zZ?yt*UOba_1ANkHA&frV1R;$+v@e(Lr3Zp_)4g0y-Jy~qHVq>}O#2GHW$a_1JyMSf z8Vx+%_`LZUrG@OlLx%Wye_6BxTQM;IU_llhPy~d<=L2|qJ>zfVm$cN|h1YCq$1z=KEr!9PUYXHu?4?s;a7zmm1 zw0v!_o6xi@>#c{-fzoAeKPsbV#A|BWdhc-rRZAKH4?l;|KMF_+J-7kaxM*rGh=rzA z;38-|Cr>yJ-FjGqVwQsn5y;x9i%5U~*u{WbyO(cU0&2P3F#Q7Pf#?_`jUWqkH&y+y zQ5JfgMrn9)>#_kupycyS#+EGmEk_q$u(ECt9b1Y|ZTs=>HSVrLxT4!O9JFYh(Ok;H z7Pv#x)pTXd!mP^A^K!T^U^B2`I@@xEyED$1a7KVj)g}8Tl5GOY;DrDa%C6{C0=^DM z4LitS38&S1?0_%5FXgw?mjB3-VWL3TC+jAZXD^1tGlUAKuu(@*q85bZp zi@TT#0iL=80~ma>OF^o0S*f-SbKaH9s-xYeS~*K*VCrqHcDq-r1mq!Ua=}ghl3R(u zJ=$HqknbT5hfq+4DR{sxB<|Pl8Lu_1j9bk4VxOl3yiTbiD}erbG@%tjH_pv7FeY>x z^u9npApWpd1BvB15*b0Xeki8dhG5xur)}yc6rmNKxfSCqn(|alD>jNI$m_Vz>J0~-aR!ppk z!1a|xo}QHVvac=!UwseE#CNhq)*O3jMB>a%Lp!vpBjup-53PhVhqM`zMNS>~(v`GH zR{*^QDl*FwbiPMAymb|m3t~9lF^U0=EvSFC+leR;!O<^j*On`q4hPk}P~nO?hEklt zSn1J92rTWfvNswa;m+s!rTpe^-jQ;zd%W@pMjb{Z!IpB-pYOiF7-=RmX4M^N*O)^uKhV z`QVzmEmC~pnhhSFy14p>{q1QycUp-$wLUnd5_5k|+rYt_eF7MF$y`RphXWg|RQ_3r zsoAn&pUQIC>7veHMM z;6MReS0fn%0T6*10+ly^CX@DeL6}1`#)&iP`8-2mwI!L&=hT$Kne6!=`HK$s?bbvl zOXeh3AP?GwLP91cn1{)|ngjF>RZUa*)T|HQUN2*D5%}=vn59GP@&*JHN-vE;8pS!{ zAna6o#Iyi(iiF8DjEgi5ohXDY6l-DtSTk}jp#hJ zHKyZeg`pqM!awGty4T7T7gW9z`HOVZxEfz28Y)`4tZ<4O1H0E3LU9rK8T_TM5?_z2 z(q2<}QiO1ko@e1v?JU8ZD!*9^&-iTyenI0Hu{{hQ9>#Uj*@Sb3csMqYQQw+qc?VQk+LFMsb*79nvnWM3SF>LT~9zg97UKF zPzNjRt<^2^@+c~tfCGB2bxZe4mXNS~N;6Z^fRr@IY3#!(!8jj$(@$t$IwiO>$7E4R zGa9MK-+J@r8Aqb|?s2_u1fFd+nwyguW=W}bINdyJ_Pa>)5r%fo+~i!fO>?L(C)W^X z^m4a~K>Y~WBG2B_O}6PJy@e;kvm41)2;Mj!R2XJ~EliFP#%4!)PrU^o9(IC>vV?LZ zV-9oq20FXGZ7Kl8g2(;Y6)2fF%o6~Hk4t#;iC*x-I)mrTu{j^=nLkM6V@*sn^?6lfvuND*}R!MN{ zGV5-9zq2E;+Y-{vz0QpetkuMnTDYbs#M5wyF_(IalL(-_)hsw|wmcRvB1+09+Y*xlO?%6ug5DC9Xxg zrappt5)VqNs@+)gz^WwTlEFgBL0z4DM808B%W3r7yA=-eNhUA|MESUv0mZeewmoQr zV7CGTAKaX%Cu!45xdPs%V8^j9$BDXWiXI6k!OY`2c_5m%lq+?+*5}cn5sVLPG&w@( z=}f%GeKF=6wVghmn2mf8qi|)_(57>l z>)%wLXp|B$+{0K_T(X?gexf%50&RVJiUf)f1n}L;fK?JM+vY~X!>ALB*TF{VY>O8wq}b7 zU!3v-V~64MaCB=*>B**sok(OfK7xZxxvDB%>Zarq`$w7A1% zoX*OSwr|c0O%ZonAt^C6u@tQUS;w(q-qD|Rph0H@=H-HEsha__8f5_bhzxVM96z5R zx>ef!j@#3)&@K1nl)KEVOmlgPw@D#SG zI)3C~4h}pmwcZwZK;4Bp?1-BC0+&EGLhMy^Zfo{ynt4&aUVA6^7XZKoBP?wTO-ttH z?c{VcTjP0bmNvhgHcQg$w2`D`{>EfV8y4AX)!^G*yBc|ND>(xh-$-5*H`;=}{oNCDYRfWC}m4R(N3n$`4$D$$Vs5xqZtKf$*70 z#YZk!da{v8@1t)lB!ihRTj)#1D7PKn5SvH5H>jvMl1;)h&Ox! z*e2vMeb9S1B(h*TD=ulmwQuUqlk}g@}Llmp%`+Mq{M;ksx8Mhf1wJevO!~R=rfU z=DCE^lR*t&SaVLzP;5&Y@1@(9iCKnM7Bb>JUt`EjVz9@3hM3?LF@-b$9z^Q&)qpr) zI6fK5E4iG}+0#YHceSkq;F~WqHQ3U60HM-KO?@HvCmcNfnh?H2;kO0&J8smuWY9L+ z?RN|@#4k3>9*xJ6`Q=QlRkea!77btdLd&zP{ z*DrvoT1rcHDp+cqCo zjbIG|qX2FQdpcEtNp(4Uqnj1a#@1$D%kiJM%`U69nUpQDdYRJRQMMmg5_e`!M*t2Z zAhfL1Nc2>B zgfCiIP2e1A%gAc-eyA0?cx6Tkm|ZF>E4IbpsKw(y{MC3a+Bqlivx@9prfjf zAAd8cTzX68tQ@KL+&1fPeyN^0y!hV4eKa0q2$RQM&>DWH)p+bM$ah6bW3(Qqbrt*~ z>F9%yi=(0go!f(Xp>en1N8RFte=NZa+bV|P#0u_1Kxhf*x`}?q-BdE#)DLyj4;}8C ze}Q-PHI(YZ_Y`$*T0D=t8N*S_zqhseUKIkowAAG(m%Pc8cU#gn+E!#sqi42i?U`@r z95eo#GyZ$Vv*)P-4xx#n=h#ebQNjsRJ*?q`zHXjZ%|)Y?2NOVk53*sn8r2YSLjp~XMjiBpezjqj61}2WSI}hOmNmOh z(gb>O85?8nUtl3;uSns5AS1m+fgXk6I9x2jXBXi0yb}l3s|7=wc2{4FJu_b58ry8s;8_8( z*tiM7-1)@Blg(+}bY4ZDFoJ>?LP~k8sG@t)@=+EU6FLk~;=;*11Em9RP&Bz!x7UH4 zz#QkuH7q_Kbo0gw%*fNMQsPMer~os`FdDp@eL`ubi(7x$GEo{!?HEk@0{!oG+OsJhY?O7*|hMZ8h_-=WK=OIfd1N1DbfI_0f~^_sRt z_R8|b?nVn}+b9)=UNJ516vxY_dREU-Tz*SALm5B@QRRZpG(IS$R+LE%dH|<7B_nOH zg|wc_G#NqI`CUzX_T9(k1lRgmRY;w0y?2F~_8FY52bllU7)~<6#bBE`e{*Da&^Nd( zU&|?Oce8$|n!kG;%Oj4q^(f}6AKPna(|TszL?Bj4X$&`Qd(D&LG3M>TAmB4N4c8hw zOzp04Y0GbIg_zLsj0OnjQ2KQR>ha!v??x%s=rev2iXYmzzy%iZ;ACDMjl3*oWo>~{ z%`a>PUt*>Asz3+uR&6dQCBc1ciOUT{<-rNt*F})k6^|q=9Y4hY4VgCI^T5sEJ3HE| z?i8{aPHPSiW~7VTWfWeWjMOVPdgGb8i7nRPZg)-{7SDWx#J*Pt6T^zu`XeGWs`WwIBEF6J zy(*j<92O20ipg(uTI@?XQ)?2aFwMEn-O)6DVS12ftzfi#-YG}s@O!LdHwp=KA>l-% z@+nmYQ%OTs+XoOsbspKWHJOIoSpx?dKC6qR$1zQIDJDRl{p(~V3cW7BnA{*(z|A;q z*gJ$AObo#Avp=s%DJ&zGyqE3%A#Nn*rO zoFsTuZVutBfrVHD;zhG)+Dsy6gY?~a0qVuLr9)8c{01_(l4D;$7Pv@Dqj%nPkr;5e zaF#BwAH(okl8NLE_)Zid#?vjP&)-4LJODbs60^Lp9B=o`1!N$1u7RK4iebJMIEzz8 z{}y&kbTy5t9;+kRBgl+F zx{4-kF%v58IYsDcB8QbKUzAflfxv#2P`{c-SEWCJ^<+y6_`O+ zyjf`n1x{Fbxfk2b(e5xs3Xqx7ohPn;ol7za89P)h8=_A20k8c^t+upyEqgVW zpk?rPAgq;#-~%4;$vIHR}?gNr(U zN=qK^{}LEIftTVG<;qo&{JSkzfJe}u_(q8jOM;W&UK1FGR?p8)DqhZ!9dux7pyBRY zKtl-Gr*QDmVU!obxA{AR-=VD-+KI^G zaHDM6cY#a?tisVm%BX+Y5!s0?y(Z;w*L8J1b3_(nk!3iF?x^PBJN>VGYC>{V>mZ9m z792atBzW|1^a`BWifHPD!s?LNsx&@a$u5MvF?KBNgIiNW$K<~8GO-r16s&2aDylW8 z@XBpdGgjH#bSmHrcQfqyqTc%by38<6rOd>!<})oi+8_nJpFTj0V~ht?r2r4dY2b8MqBCKw99E zB6r<@ShYN1&BY-ZY%;T_sb?DSg=;S#x|_1=sgj4Oyv6uVBGkR>a!G71%U=&7-qtZh z*_#SZR?UJ?I8EH2yJ_M6RTu7GEVh@W4tBwT>;keN7g@3?OX^|7C`Vr*3K~}VlI=M2 zkvz4N$KJ=UabBkmT(xDZyb(nP^gus%X}TkI=0VSTvwLp_*vkvy!6bZ4-UD5amdkE% zs~0-wcmgkWGi_b+JJU;fvz1i$S!w}=>6mwy`g@V%y6T0PZ);Vr={Ub$W9L{jAe<_d zdziPBNm$b;>&L&RXqQtjAHQBv)4MZ>grz_8c@7webjGgExZGOSE1y~-8UD}T(a$T# zlHJMRjmm^c@^RA)D|S0?7GE5z4IVFv zWWrUh0XF zXkA_0?m$!N(0JWb*$VY}_whFfU_eq&ay?r(rG4qc@V?nWJ3e0eja!v|(LPq>Txd_S0OEmfii`icIB_Fed;@X zbokJGP#sxr?#Dma3~;knG-Zx%&r#1N(t(dL`}R|{R{*wp|eG`7mzC?4EEUqh6JT4c^_D!#vOoOuTQ}bLjykg|EBdiaEUSY-vev&S%DJ zVNF>9nn~9eFfylJfK$L~CnItm4trAAfJX-gj{_5P0OFr4Ht~d1|H>lh`_Jgqf7&ea;#oZ z{GGvx(E{pHmpMG!VFg?|7}mfZr~0f^HykSLup4S2V_Ybg)>qm;x(yKYsf%e#cx+Dk zqqZ@Gv=9|PU4Zma!bi`w_-Hz7BOP))L&69%}}n0Q)&wx2>q$fT>zfAOPNz?E(}49q=z3>1)fm(oUE0da)= zAl`XNlBA&y>)!A2R7EB``(cdn%`-fmwgi}qFW@6d0^>h;B{P8gt-|4FN26^DkK-_k z^-rbT$W*w=5Fk@kFZ`aUKSY?oiMMKV&`3ZmD+f>fXUmEVKvKkhj2&)ZXwpwr%cDd) zF~1`2fBLP@_QPk_+C*H3>Sm>mD{)eW^XkOGWjKI3wKZIbTPbsGA?08B z4DdDqh6U#Cp)6$v!b@ab>7@h^K|IolB#pf zCTH9>G7^t8+!aphf|(bY9EHvi;ic%Q93iIEW;1*c>?fp+?6k2-%g|(UA&oErTxX52 zY;kO7NlX?7(v#Pb=Vo8?aG4y5og?+i4`i2U__I|*vPsdhfNtSw zM6Ji!5odPtaFINOHv z==tt1+?IBB*uy(ow;fni4V?knVY{u2`@BbXRrKBu-pA z=ur2n?Z*}+DJ4j?*usI5AVP;7r>^UeP~uD{&K&Wk!jVXMU3FY5rfrgrNJ10eLFO_} z$sd0Oq5u$1R;PxJz_|9AYJsucoyxxPVrS2h@SQ`>Ug~JrX0xBY@YM)kO^7EXo!Olc5cuSh-krQJy`a_q zeHA!cI(r#zka|Cz6^I`^y4`zq3%7;!(^9ZWw_g3$VP>Sf9HRUqAO z_cVPcKSp;t+t*zlSY0lL0RP)j{TY#qz<+l&9MoU)PW zV*hA53a#egK;cZ8rP1j~nVH6J`BTV0(H=*8)YXsNrH*z|nEx1>a;;dWc?vU+9FT49 z_G7d8rIHA*lS>cMpD?)75aS8(<@FVBn`LR5@yKmQJThe%6 z;MH3n1ufkjI~#Sp zV(c4u4Sf4Q{>fke_V>U2J@?z+`}QAw`y2f4pZt5u06<52&pF^xHphzx|_cf1f}8 z;k+D1nZF=7nwqWOQJda0yxd3-{M(G%fd=f_QuXe$0$SNW{xwzqf1sB9(YL?*C%^pm zcinIQ0e$g%-~O&uhKGwdTDcw%w?xCOyMX8e_#6(s_w65&gntNO-~QpUPb5-Y9zF0- zr%nx|N>3~VgSv|QgJ#Tz4oe>O!ta0k4@vwV*p<80rwd61ywSl=_AHJWo!8KI?>?5_ zeBJ-?-)RpQZ~aoP_pi2-S+k;+gb3(Q=W&<)?eAV4P+#RS8g?E|2l#^^#impn(kkjS zw2+j^rGNasi~s)UPyRaf=0E!OAK2xL?@Js5a-*RC<+uOb+&F^??h20DjL>N!go@C8 z+w`Oj{N&8|M>w+P%WvSxrt0wuyi)yIJy;zEfC*N24n; z^{xPLq*65Q(%i{WG`?1;d5YvZ!J;o>*_ec}iUB7F@H;S(4dy|RXI#S+Z$ncR$H3re zD#SN?=X&*tuEqmu4i|jRD*@cp@kd(W*$t0bBzihHf~y3!)T%t6F}qeP>N$|u zCtjR+o6{D5g#BkX)LV&VV^2}=@9g^Z%qwQo8vojrcun9eUNcQ02<94Z*VC~q%x%Gi zr*NSogfuMvu_?P=^NX(dL3UGZ@YY7!aG@3*&t8Oxtajtk{w>Zsw`G8oPdIznGsO}K zDFucw&Aot9(jRf+`QCzPURr{}?=L7zY(bGX^84wbl4og`-zb=E=<$(uh<)Eo5<>1A zEg|;QrgxW8OeTitZs<@2#y?01xKEHjYB%Bwb1T0+JeblanlmR@vsy%Ki%36XjBnH< z_wAm@zMqh^u!ZEd5D6+IYlt6qJ|!pf(teLW;<>SD)uo&IgZZY-caIGmiq;MLFLU-V ziM`XB{&W6)vcUAwV^s-3Fc4Iq>TjfLo2gvYM8VwafFNjPDzYATlgn)D$a z2PZ_c<7J|0q!ZJV5v79d`BEw=_w-Uv0uuo&p+QW&98UzdlIFpP*Tf2x@PtYnflzYa z(%^dErTH*nK;e{s9 z@MVq#U*^8;hHC5_K`Z360aq`)opw|kc=%vYXg@|$;7n1f=W?v2rc~3Z$nsjIlHLo( zkqcO}B4-vS;l3R@9>Qd5Q6jYjC}(yjwX{h9?u>fFugLkQ6F$8SOwUo)j7^U?0{Z85 zI5q;dIaJ#L=`eC*^}kbAnTD(?be_?;qiMv8*Ul zqR@!|4#o`7)?xGQ2QsYdo(>69%yuvpkvbV4uW0WbXm@m1K!n|tE2?Vu>CRn7w?ks) zZDmeMQ+OxBuWGyRq3byu7je8n4r1`)M!Qk_!PbiaXckdLBXf?iY za8m_;ftBj$G_xX;4StR7m7axYxP5ZpI%t}Bn{p_2hxis6r%>UF|i znx=RVIgF(dqtT=ope^X=VA_@)zs|XgKXqhGw}uWY;NASx{5NR%BLqPZ#7>aN5uM#U zn1u57Of7+iC9JulAWa^^k`jlpFla(?d-;JD*yzJ+O?Pz!WAhAb|M5s`iDi-!QS;cEV*82`P6Dz?K<+R=Fiyv$066U;#j~pW zmn%JNR_=kc?!}#6(Cy2DNoWBQB)+BT_X>0%pc_?JTf)430;xasQRsuii4XVH&yH?$ zpkHVqbAQ&BpS9|0i2kXw!T>B_e0wMm`#r8eG*1a% zwOR6o(0N}b-aNPNKKQ_d@uEbIGV-52f@^bGyK5XH9(t5 z6r|xSs9kT4tW`6RM5_}cKMv->>WRs83p2BJlTeRYk|(t4#?!VGnT&I&JWXDed2teF zv_~gXj^dMz%Ho`9$gVcOd&A6gg^s1MAJY2t*M1v})TaZkDsgi0dYW0lTt|>5Z>m3K z3Y=ZZs4BpBg`>vY4ctnN+iyG++us48wyS#kD=KZ>sx6|7pGtAD*tYuaggxj<0!=%F zU%sPdK)XD1C`;Qsdui%NX_4TFl>C&GAx%R1g63orr#MwcJ`J@Or)h)(UYKQRf(Iup zW~X{S5=3ECgp|`u9-^OmVV)Lwio3})4T10$1zDVVVG`t7LEW6@U`f*=@XpzRaSnl+ znU6;u{~`M+(615@=+Qrl7^DbUgd2r4%W?M0!#n_M8ZDLUJ)?NhcUc(cId~Hua>`F_ ziShz>PASzn@`^adQ8uG$@VP08@n)lIQ4iQ13fj1+-KatQQ!gu`ED9hm%W-9vg!G}v zGtkB4DdkRabp?B8ua1=04|6)aC7d;*R55}*=!lo(9>@xDMhbC>5&0Q-)k@lISmV9I zkBcZtJRd_42h?lS3vuDoUkNB4aif)x2rrDXBB1qTSF3KyK0lRF458v>`KC zHDWJ~7^@J<=j9O%9SvWC-9KRDO|s%}x{Z@O%X1o1)He!}JcioD)WP7rC_)G-aMu_n z%=<`Yc)dmG^A4j$B8_pK6+NU-80v2j@Z@O@<_y|nX+z6%aP$>9o%#ZcuadrrW9pCs z`W_$)MmwcJN@z(@UsJ z06m?K)s}2Dml#k4jZSESifYGs=pj<2h(I$1?#>KA6B`hOsm&GFM&GATeililduM=ElwthR7@D#z>tK?hr-1%oe`n+f(>tWe| zqLp0v2L3fi#2(VD`uO!}Q@#LdootPxlD*P=(vIdD-nQXG(+S(-1U+xPu72-QLMtle zb}8byZJ^pr0dyp!Gfqvy5$B?y5%rVWFjo;g1oS5>8fS`~v9P#fgJD*Kivd0bdW^wT zf~S^R0Wp1}I4Wo8OofxVz$rk@V3wJBB9^vc(vuRb3A=$lA5}ee!}!H4KIazDfA`x~ zs3wyxv1b~St5-NDu@g+W@kXZ^+#i}8q}inAIOgkwFg&PlVXu@P`<(-E=i~3eA-dea z;SehUfKTW++cIrlt)4G{&*t+z@Y&tgyl*~#TMz`=bLoDPdkTF8s$~{-WleQ~J`xl+)Nb$?lcM-^L{rt+Y zVV*WJy%-GpG#twoI{nVB^!F>H#h$fsYX+F1WyG#^`n@EIBRFj@h{oQj(@bRXy+mrb z1R$8A`IoWT{HpwYBpym8a&-9;yS>q|W2O1M`Fo8X%?WG+8@KrxVxLcTtrP7dVCgFf zI+cB|QO4`~yy(&A+SPe($@vZy!e{Lv8Ms>DxozO%0>t)FwvqI2f1eARK#s|2es$XALp&X=>Ck{1GW!Z8Gf+5}@I7mNh@b|^I6I7cotnQm|@NG&t;qCQ70n0;@R6&CUs zN~icN#R+O+bQpDU$qk~fqQKkir)e;|ubEVMc`p}8kZ9uLzVyFE=y1iDcfCh*XrRm> z`{buYL0>Oxe%KuCRH{IQ$<#T**%08p6Sp6Z_8xNg8qe!C7PDlj_2(!<|5~5Z%d>j7@j0L(6qg- zp;I~;vGgJSsa~4_QZ=A=X~b~TVuZ)zqsI|%m;4?$FC&!B>E9zxal7SBr*Xs^X znPviB7-Q6qJEZ`=k4)<$!yM5O=XNoLr{g;Jr1<+!O~iTHg~WgPw|*e{hmpM?e8Agp zo?TP3<_~znPT?)gTm4A&8t34|hzu=3lFe8fGEhCl2w@l{r7S7FB8?5>Fjz{mSQ}8U z;F^^p@E_=xbV>Od`biefh0S;)z;TgVloa5AAURpWfiFE@R0(H;kV(uWO>7ylW_$48 zc^2nI`~ZI2a7mOA#_>{;VS31z$s(~?DGFxE1rY~XzSt!6g0d(ZeJ0s z+#(8YDaOjiVl1&*Og@SM)D#>>^eZ#&bHIMyQqtFJQ(p{pe}c=|*z2Fod%7*;^}5uT zk?}sk9W5R`@f1`&;cnP2@ROAZicwDCVV@aJxCFA(eX=g0VJ~n((9?8#+#oGFw*=*U zThh*T@if`+*n$wSUaPXM$cFrkd}EEt?!Y$2F2kO|lq5s+^)WD1$5W-@tO)-Syim@> zFn@sLrOZxA+xqfqO=dDuk`b{C9PQf@hi=6{gEX=$?1B<5!ZqM~Ry%h# z*5F3&S1K?bDZN1F2UH{wqLsT}yAwe!3BdscD1XCIqGnhOd-gj24-H%gxC`*yYg~29 z8(v)CwNtzUgt9H-)y|4k3@dQzYCoAG^F4U~7O@k0)e6_x=a0W?%NMNA)6ufXBMMHaD_cah+f`$&Dq;II-O5{6@| z^B7LnXby-I#?nWDu{+*06#T9n;~EJ&i`DpJQ}-W#jnW0ur^phope@5^R{*Mhh3+IZ zUIQTgOPZBroB{B~?pNymh_ZxO-+^@kH&B>zq|5{2CTY#E`PNYYTK9kd&YL%UbzJq7 zY<)otE}Z7%yi3ibJrMw%Cq_9L&aRT5T;&80z*#<>R3-5n-pPF;OS@~117b3sK#G1u zPJnO}>qh_?sCdWk*7Q=8+#i67jqt-z~%Tn(F{^=Q6O zdMfLLL(cum#YqMvMAhRdt^$THwTEk$NbPp2#xZm74lvtPN6kLI-rgul6WZ@wiC+Ta z49iO&KrDVZG^i0}be~FUX|I61c~t6D)l81OYY|`_rg0u8bSywIR3b~r9*_qwJKos^ z4#IKRz23SY@T0_Ax$3Y|EmnoSVoCXf+gI&y=9ZDE1Sa2M*PLlwU+XI$&*lKuU2#va zsDdg*nxdXmhmcw_f0Xplot6bz6wxdjJEwbA#|uj$1D9$=O8119I#L*_6i|0R(ceMg zhgs@jdpRo7%6_lKLH~!%M(GZt^+8K4yZhB6t30IYJps9Sf0@bSNkDZtqV-2g!YcTB z-Lf=H`7Brucyp_~Gbw98iob!msm?=7U%^AM#4Gaa9Tx>*oKnY~vCwhSi&hLW=S_F+ zDw4P+{VU=Mnw6FO+Q(Z~T5MC-tP1<8Xb!;qd^wc6_n(j?e5D*)>D zeT6XG3oFPpOFQiQ?dx@oL%t1mcRYGj1(>C%YDg1f-Bd?x!KBJZZoA-ozcyXdFv~O2 z1sXn@>BBV9LYf)p2GPZ|5I=p!;6^#Tq*?(frn$MQbj4^&ptYyU>v-N{J-O)ONFa$; zEzP;jt9lrwQAEvN4p4|$g5_X0)Uaat;N8=?s@p{RxHiK3@a$!(^i$Mo5fQ)Nyx&|} z+A|+BShfMylblDXR0MdUd;r!#Ja%d~&T`6Hx^Q-~tnV=()Z~Me;~F+E<#I zL`lrXWyMp8y2!0y0<-x*(*m13l&->#aU}Dzev+*T-Y;}$?Rp6^!UG%oxRP-gM7)e1 z*drb)Eme$YRzSJPn54#b{6G!WM&awj>-((l$07Qz-;+9YmD=;3c+sn1glR%n3GMxT zPfaI9s-D!V+Xl_t$YX1bRIbu}ZQeD{*e19mjllR} zT2ExXroB;4%zt)XKLTeRF z1JSZaX>LAkPB1)MZ0)C^J2achg{jMQ4EKk|k6?gyEePsvK^nVn6QA-$^al}2 zKHw{V;qsq%^7I|}{sEj_ZMjAqEwFv|0~(IFTDV(zq;#uhprgFJ<|jn7g`W2c&&=2>67&$h+`$ zZFlMD#1FxzQn?^>6LGW#RD8oN^-Dd(biG=?rMz1e-6Cpl*wMKizF3c1as(jMU$`Ot ziEs8`oaiouqki3h|A`b9Bm%5&XZ7@pA3#r1e*=_)!BV*z?q)+d2z2 z+!VTi(=JWiflA47XU+u$k?%|aar%`! zgd1zf$g3y%pxgDe?R!Q#s z=ReT_A?&{0HnbtWb&u{luRB+?$^ztKTQ~3)UJVr>^}Oe{S%33O^-Ss&@}I;P_)dU& zw;lZu@VyxQ5X%qI_ya(a$o6Ch_#|=S=?5guJ@}^=Md2jl4@tp)$X>!yx%dHa13oWZ zPB#5Oou0zEx?P=fz;#~ zE?uAkCAnT$u>T1MoDW^GHlMvT)VHQ45L~c|slrfAM{+(`R_9=w1NcN0tYJX5>;v5#pz* zbjFqleO-EL{UYELQn7^2AKrnivX8%h=4)5{;>&o4(lyL~DaaRLpzB;%zhqoHu60fZ z{-o}?Kumj^Kahel{L(eui7H;M@!N{Fu+7*i zQp_=5#N#JD!M{vpMGT-JKaohQEAkN4N9010=XZZ8?)`#-?4AhmpESyMVoMeB0RM5G zEPw5nj3xy&r#pDKe9m=Cef%&L<8$BfAVtpq{zhYDbv@bV9$djaUY^KaVZ>qfcd5(yBl?fE%DT8<&gc z46%9Qppy~c!tlT{#aM;uL(T>wEzl6`cJP!im7u*}ZxN~Y2oP*WR+Yf?b;TY6`uEHO za4%%*XB^qRS@Pd7ebzRN-#;2_cu$m*MgZDZrX$5$B$&(&O^vW_Sg1XJSq=bMChKr7 z@G6~`zE6DMq;!gAFr7I^9E_+W3uZ9?|wffP_@hv&|T#&3T) zlz7bpUtNVk-642Dtq)5sT4bknp`{)kNv-IZ)Aq0rYn;^1Wm~?u?NED18nSicW$zI^ z7f_yrY=|SD=2T1Fxo?nXSTp4pFs$)nCLm6fi8dx`W(!7f5ciQW@C1fu(6W6oGPfzW zIpY}0jGc6fRfj!-29TXbF{AAN>l?thu(t%+z3>#p`}Da%2nqg%^C$ws7<2^Fl@C?4 zW%=^|0x~xLoMDn!pY!Q+APjJvKEhlSNH6|9G@k?Jt@2XynWuOHdy$L{;TN+CXw< zavKk%LOg0B|DNAVm|e@eataFAc_xn$_A$8-;Rsl~^T3TRvZDN2*3$7QNVutiPbc}w zg(!Le6bF2K1POFjLuqkgOC24JCO@jt(+6HeR6>zZH_);H*Y-+RFpRE6O;wwE+;+J_ zg@In;hX9VYj<5Y)aB!m2~-{_8*qRXPFXVi5v+}Q zW>O5xC14?~0y{a2dTMe1G*^>6G(u^b%!N?9r{NBRnb0#6fmQ4tv;zV9TxwE?)Z$7= zYWKrJ=vTC*9cgo450IzU2p{D-a;!r^$H-;w>=kKyJkxNy&$yfJr4utzW;#DD^D_71 zJz>=bdk4t9n~ny4Ry{2er`)9oQl$GbKkOAu2-NU$#zYf1-vWodo+L#Eo37P>FZZkP{9A*5944N0V$ma>QQ6`|Xg+po%A)Q5DuR_n!3XL@i_Xr)V=_GXphg`~uujLEEK_Hft@oQ5NvXO4pV!hYw6vSn^KIMc3~`ZrvRCx7AV%|7uN zf!W?q!nq4{#5;au@A!0vqi_7B2Xua0mbPHVOrsSN!Sxx)Ni)}Hm<%_>%v`3~6pAeW z=ZM{(qex7KBn0;EQi5&iY1d?9w&f2%hsyk=%k%9PS+3HSab=9cN&3u=ye;bA{mXxD zL;|!rj#@Z^+6S8dGB()iEnFOR7!!|sY5Ij&U_U1T;ES$H^j*46neA$*0P&?YxW z9r*U7IqptvUch+8eLpK00RBBV6uPnRvlO?BiLe4j`J`$gipCLz3)Wp9B)6KI+s*yL zT~zB@0j}F$Bx5Zi+>nj6h-V!@y&m$?AB4B+G1vNH{__{E^;>#XfiT1QRVqMx{#b#G zHRKT-^B0D&XJg90sru=B*q1Y*xEl2Yms*)FG?)r4M$G<6>2E4px@_^Hr?aaf1KhD{ zX2&=jizKV2Q?wM~jjrKR3%j2eVx#y<`L5QO>(<76=dFvL7PT;3D7o(AAi7=lVsa%{ zDe`MA2ZEC>J9gq}QNz_Z`_=;wvf;8ryKJiGdG{rl(UUo))k$7q*Lr_86YiTxuBH>}RYdxUH(dC129t-~4Cae0@F6 zSJVBvHZks=3ZcOKkH~D203fp5H`L`o^Z?G!27z(4+FVAKDF={_^{_s`e)<5`pyt$g zj|h`+CD;zW393~tXmMfAv?sR;V?dp3%RMN`%1}=d%?ZBAQs`Nf?qWmJsh`O zx?9=`%b5`70p&n+T{yxu$PQ`;VK*uENg?pQe1hj@lwJMCUlZo z{J!D>`1KzT`c?rsoh0kJdFBFA#x2LwQ0lCj5)=&?V?TrdL-)wVR4-m zQH1i`B@d&sA2}$HpS<+5sjeE{KNC-YOYu58%M|(iSakcxjKd81p;4FDR(;ix4Nd*r zoe`K5#3^bV_+zTT`3+)g4B4J|Tgl~gx8CDjWg;i<)vg5mR&VTe;iG}eFka1Tc%6|3 zcj)()A5-WQaIA#2Pcn|i{aOg4)M_Z7@N{5(!s!>=t;lhWJlcm=<%UcyDTW!@M6`Re zD06Z!>{Yww^rEomJqqatJRjNyePK#EuLp14t=!?f->}zDI2GW>t}UD<05CM#N0Rn3 z(4oh){;_3`tNf}uD?nW_0Pq2!YVdj_0txzy2uwc#Kn2dySv#Aj5R$|#%(VB!v zQFu|9JBDSEcz?v`Rc$kT@ScIRS4%A;$xzJuI&Kj z#F5){i7=@9_u9uGMcrPVscWX=swKeJD^y?v0FGtT97hRTTHl#X99Y=c@oCO9>q-vV zlb~FfQi`~^Qxo{o;_heFtX5UuTcGip$m34FMGd@L*_{IF*;(*AFlxGb(H&53@JBo%QRV{CGh$!RYyj z;O@yN!jn7xZ3lVZi0l@s061>-+Qb#+?Z4t8%g|C2tgk`YMT?8U-jJ|t34MiQ6dQVF zj~MaqC#x{BB0<|9F5Txyk{I11EoujmW1@?}N7w*wk0}s7t4@sD>%uN=bo(MBE79a{ zyOBQPO4j&~8;vvJ$M6q;pl6u6pHU}#Spi$Ol6ddTh{>3o0ss}=-NDmwssK$y4C-UU z5bbAhpOrd%JTUUG!+^f)vwCV*^JV36c&QpKC^v!%5BG44!vCryzFCFSKmCLd!wRHc z%>l>!YkE@c1sIz`Xjf&x`KJ3U&Bc1?a!`BMOi}1#+XI;ie2Tau?U5FQdg#^-j%iQe z7O4Q1uO*F*4?<{>I^i%iobL(KU>;|Hd$3RTT=T4}O(XY2(_OqI*Hyb7s$T9n&%&mw z(IYL71P)+DC4_x%{D_NDFryBSARQ~q%`**CC@;d^sysCx|9(%0kB`5q2l(tDM4(p( z1@BR{12e*nG<2>&JAmqYJP$R{&xV)b04z+YDox0H1zdkqHy{7|wYwQ`)qAcKBB2h7 z_B4fM0kqOB+Hq|9a#wkzbw{v0AVgtbxd&S4X-sKdYjj(Gv+NNZ&BryO-*?<7H*-_AV-ZB`;kLTy{q&jaq|`)J@F= zc&wjM*-UJ@j*-NuA`NcFMpayvu&1-}feN7Z?Oz$Q{KlAt<_+|RsC99rY}3Q-vOllI zy`mcb#-G>w640jksUxv`W`YR#IC*mGWr_V<#-ZkCw+Rp@;rALAX8VH_?%QCGGM)F|kYBV{`jqS@jd zoBydP+5t@Io-RP87!6VO8!XV98nmxfsk6YQ4rR+&HvtY_|esc~aKy zL+7axQPZ$`+<*h=*LxBIFbzImJ^@-oP$4wwk8iORgCZ3qcijZ-h|4&uHXCpPX=+%5 zXk!Sj0!_FL5K$Py3mNd-KchiF|J~x=iE7y6P$W_kBW00qE_7ZKV0zJLiox|ggsfVA z_TvCZwO3bCrdJ4@XscH`1{VT+A3z7L-XQ%H!L6ZPh%jTs96USR6LxG27($=m)5AR0 zLheq?IJ1T*kYjF`SGj{`#b=pa`LUNoB| z=W<8A+II%O)!o))JWly&##TFn|2Egw=&Ax8)6jM>&S<@(gWHLwFk@1pJ8;{3WM~pC zCpU6#YW+f%snC%_Dv#?9j|U?xk``o>$p|#*odKpZOY5G>&65CC(ji|HKgAQ7HUMyj z_2Isr-I&Rvluv5w*dD+vaW89yFN_EcMT$%8?&eZ8RfMZRn><1&Ewm*Tvm7L#u`>n0 z^Ip|6jisKxoM6+p(&AnNTP zSm6tWy`Ie`FLjmM54+RQo9RCiAl_0ngeyNQ7k=bS{x`M-=e1597!R<>uw6BDj%i%= zgpg?}>VEa*zMhtlUZaR-2#q}}Mx?EAjdx;};2UsH(>jKTZ_LxV2&3Sr)r} zsoZB^fm(|zJE@;Y3N4o(*9iyzxBP7|&{l+}FvwQp}zr}_cK+?rr zGw~E+s&f!6qE2=#&1$mKkIIgE$O8B0ZkoG))eYdf>GUD^T>X=f;NDU=qFxZ-xAU2;}P2McMqMJJA zpu^ayybN@DG{;2mQ2_(tru?H?yUovNCEHwXc1tl&e&#)d=EpPK*B2SmsUN5MH>(x6 z8aI4n`xzy`gt?pHs=fc=kKVjtm{xQ9LMy=zXova+M>D=q_MvlTy`6YI;?#Y_!SmxI zGXRy05&VTKJVp}Z%IfYsglH9bU5~cz|r7fuu7(7-s<#rv{HC!CPxWtVcbEJ|Z zuyPb!Z`$35eyVk3B@P#f!)Y`iJ2A;KNgjE|vYGX9C<7-+b4eP{lL{#?-museaaNZ? zawKC8c6=iX3GhNwMPe&$I;Q2OiyzQTdaQGVzU0WY519;R0w_OPkDsrc; zPTq~Kd7LyFld==6r%-!QPUq<4_BfaoAhIi* zE>p@Z#z-`q4X*>HCyFV35mN~ zS=CjvS{P^Q<~TWv@mH-`XTvF8hJzt-afox0gsb=kZA3VYvxi{`&QJFdwwn0$F-eva zFGNf^GNI`RY4sYe1i<5&d&)`f3JCmE+zQFot6pAeyqhknk&2Yi$zG9yZY!`To!O9G zR3v-Hb24;_g$Slf>Ogr-9g>Kv;j0}YK)<8_b2(GxGYo5fzgI!F9gC3YmG%htET+$n zj+u+*kcdP?EIanOdLe!6yh0pB#r@`l;!o*=*^leOu4#MPyi8qqqJhDBA)~B&j7=eKpvnFAq_STFx#4wfrDHB! zqOJ#~5DAe(C&#&jzQVtsn;Q3iITGcs)Fc-v> zG|1k}jSoT29EDD{nReWRGH#sx$6vu$)ZMCKRn|i5jd1tEi~aXW_7KyFG}KoKhz_hy zm7VD4uK(a?z85+5aQOK3H(%4)`kSvo%T%_j%A^Qsb4r}u$FEo5x}){&(nJ7x zjveFr1yF-h(D27v2hoGigt6M0^w18+V+r^(N;lRiC>}D9q&gj*q8bzj9`bpCVf^6J z@ho>rIrq0}rFvRmPaB;eiXKuxzU0nhgVS?eJ$?MuTm~h{0DPW0cnb%8OLwgL{X$9( zfB4AJxCuwqt(sw$Bz_2yB*6{DR-GDgPG}Zo6%T%dfLL=+LAH8%nHmjDix}7v4nSj1 zFOB;GEUSLe&vE<^Fscak;1-Sy4CPFAuDVJWgBvzu2ZGJLy;@bP30cT zU0pSH^B7YDo|;aJ_sPB?Wjn5h_DX3JQWH4S#||y&P5trf4$iPmZ7TpNKjKEo4r!U) zkWXD7|FBy~${+lq@FE|#eYl$IA90&&Rfhgg}Q#>5N1A1dI^$hQ@%(%LdcF;>*pi!U27T#;^GmTPibu z|J?cHe6q07?tAA~!Bj4o$_31!9J65fbE|?FcU$LI*n^^}H1o1BAxtR6B4)_`xs|`> zE8DQ*{K|idXXU3qxE;H~1^CzyKe@y1yvQqhQDY2$??;_?4l@iAW8VINpC4uFxia|_8iu%rpFf&u6kw9@K6sCP2(;_! z<7_q+%U)6kf50!(=N^O0_BnL2{Q460koe*bR}j+;tH3*k;^qI_wWK;(_z^_jzPj3I&Q}j_H$Dl=d4m(av;Ez+5ea} z`fN9t-B)E#bj?^ZA#rCZ_!+Mo2=Q}O5X&As^sPl$wM_hl&AaGjxgk8q5^N_;$a2zX zmdk>g(CU*ti{!GN{<#6kNQ}ugCwwElC>T#dw@Uun^_W~Rr1|>^^ssv5<1G$(d|2Th z>!!5T|3ZnR{MGVCxBK=~6qHEpy33_ai*K8QKiaA*qK7XfVW=N}hy6J9ab$YRqQu@G zx7c&O!+sNIj3j;H*};71B~M9$GYPCNuxvhbUF_zJ%6oDn^I`g3M9V`yOoC88{PYR7 zxCFM-4Nm<2*1aS)i?ZxJ{(|oU?#!BuBYznc68ZBX%`5)+?#;XMUD=#4a9@z0|6P#6#;`N)(4+kDnFt_y3etEc)W8Te zn)r)VeyHGQwVH>t16|$W~?mN8P?IIaS=xB94lI~OB%S?0Q zaV4;bD<4LQd(G;MtKlK3>h~?p%rA^#$jOvp0bm&f*)WDaCLJf33z>!Ez?x}|bC@5_ zmP(xJQsE{%@*2m=Yjh*Fluwn6QElpVC+yj3vE4EkeHTVgS!k!Q>5U|Gf(40AFf(ZQ z5UeJFeCVa)I*Irfub-Z>U=%s}79}zc{;l@NFWgNb7 zd4*`ezaG=b#R|OsFu>~6(GT5dwzyOM(D$-y{^VLx<5l;|-9bW6zo_D{N-;)UrQRq+ z%*Hg75l*vdgt44eh@m@9yfA^Fc-w>zN6CiqQxNNinRmk^pLU61bjml_tJZ5Q)a;$b z0WF6yg$D6l7-L~H^5|*H9&aLMf)q7J=g50YHq4&FRKLH&na`k>{xCYFe_`3qNP{0p zg4+V5lt$icsRSy>C>hre)UGfIos)Sp&f`QlbB!uT$1%aNM4;ZoSZYhIVR8Pd*Xy$D zzAyvB?|d{BF==NUxI^=p_gO5AhVC>2gJChG!8DGTmaa^;L8~aEsjrO2{*4GjUPv+7 zjDSAA&)=2&*h^t6aYs>kW{|N|!)b{}7(MwgnRaFL%FlE)4|@c*Z*<(}_H8yjg4-VR z9tO((j5Ev^w4X=$C+UUNf#yLp3uH_^vqADh_sLD=!*Dhmq2fH@DKuL>yM!IklX;tY z<7P%>2<|yEyjVFUWF=i}4hKH;ePJq6*~q>PW#gvNKo<14j$JHLFP*V!_z%L7D<~U} zCAps z(8Oz)D6i?*0SYS>2}aS_0gO>*CdDxRA*T-p0PRHD4#9|xjj+xoZ2GI@N)sy@*X8B3 z#da*J5)(B_?|cuwBHfRY_*Uca9k^}BWXNB%mwilc&rUHdqe(^>idcqj*vH5g$451I z;LY~vNcU(zOJ;i1O|%2SjlK8J|MZ)0io=HY4Xd&hw;j0>IWpXyZe~C9gydNfEJxvD z_i?fcadvykY`&#suD4{G20utkq9`oNB_9nVdv_u_QfP0F_D5SV86$`p8y8OgUSL-X z8~gu9-krO4bKEY<94PfTo2dJ~p`K+Ub<`K>L|*(3|It^G$I2!7 zz!&la+H^pR%tz6C%*WQh_ov@{W5SnkM0WN#-#R8RT%IFLOjBzyZ>YVg8~TU%p|ji; zFGRIqEJ!2(>OmAmo@e2tyDy6|E-y^yMH4ORM_v-d)~;_lD42GMdF!m|)us^mbSdHa zVHy}Wz74NlR? zktqp#B;a){jzgII;&av6&y91@i^$W$Vde(|kBp7jLqlMmnVtw{0+IA%m)FzuxH}Xl zdcS#NZ-dk@7=)2)X(Cp;Yx?3d8};Um3feqz&EqhOj9YS3ZZ>>?8p)YnxQPpLyPTfM zyL`)Fm9dC#T4Ww9GpG#?_f8zoTk|v1nwtfIyex6&YKv}5yaSak5pRW55{I5epcHYH z=EFzByJpj(pu-TX9{SehV+E18HpK0tdy{uDmHe>-**N+Q69hTKka|X{e&S(m?|5!K z7F~BHOuuQ+HN3ll3nI_Y_PO9)q<1lfu3;W?1RYfWv?^cJOkWuWBdK6)4O1HjtOGB5 z_QLqZ=(v$-(~lzJ0w0+Bhk#>*wV%pm%6%4xm=ezgrVLSD&TFO;A;^DMp9#5<=~$)bL$deLT!gWDC zK~j0oCyiuINx+Pt$TD*D+(QWB?0e3cMnQW=Z9%@g2;W9?abv~YV--g)gyuB4aQ2r`&UoX=KV{8T%!wd7p@fogb7=_a#s1UbR- zPh*^ttrMT647K@WXL})eN>E59vZ}&pUdES2okh^-;;DYXc8#xhya1hwg_#sf5^9m9 zEc<=IhywqD7y(B^hca+g#XZwz>QFx%1cj*&os=*dj;}FT6h`HnMbB+CaFUq(Fg(s? zjHEg#Xn{a-0Hh(#Cze>|e2(S9opZu>OP}B?L1I0@BFW1}{9u*^pWn-lz8A#FJZyM? zYYGlt=Dd^zF@fw46QKR6D0UT>8WHdb-m|P%g(VpZ34^DR>Vwbrp(qKg+zD0!0d)k} zi79vVdHL)Re4h8~Pjswg3f-qTb0mYp70uBPT-E`-wn?dOi6s3U#C0Hm4{U#G2^@7m zEp{>-b_ojOhL+sD&RO(F=k%U5inb-L()ad)s?8Q>K9CEQIaip2>F4w12?od|Z~jDV zD_IWrb-sg2#-}ERL|w>XPzr|36J1Fof=Xtj&-@2h1hbJKaj1yD+YZF+mihUb@|c63 zBA`DdhF%m2f8Lzj6b_K`j#?fxmzWdU-4*xo15EiX^fe50Y+K$_AmngF2xKS%>p%I~ zH{VF)pJbY8yPSaW^rR5jfFr|J6;|GYKCkz6%cPzAyxnf|6}qq|EESD_SE%0C3MEP> z?zR?l>uen+sLo#<;^e-T#TNCp`?_DjhG*sj2nZ$VA+Xt2j3q9%#Eap3Q|YXUZt}{^ zSS3h?7X|a}3#fMaZrhc%{;|)Wp{<^Cd|f*Jfljnl&a9<5A#TdCu>Q5LvG42|V86vr zvKX&!B&3afYKvvtZaYqt70Ns_ zvtQ*La%NCiVPGWB@j$>`9K9Cqi*_ylV)B9~NKB$4 z>xOsDPfB)8RkZf(1O8yP#XSUc zWKxhBgRk|%zTj|Oqpg)Kb(}?sv9(|8YMpa79C8TUNzwMdN}tBErIPKK0g&m=c)pYz z-)kn-unEY}2{su6cO6L?PxaqgSO5#0mBrJViRe!Tu*SW;#pZiO zFSw#N7862g`sDo_>v6;E@i4hCZSnnw1_wXyDf{_IJ~EhkVxNA2<9W#k+{OY8LrX$Z zTVL=SUs9VDd_YW|X$5EoYl<)+m)v=m^e)Q^$;5w3evV<=+Ke|B%Zn25lc!*kK&nuE zbWYoSiRtm*w%lW~=7$377@JsE+dafA;e^E{Jz*sCpTeKpU=TaKW`q|;lBf9R*8e@E zCQ_%~AtTYafmQjrUay&*C<%$q{mBk8YFKAmpF8_hR?tU#!gTY#2`B169GnAgVoVuH zh`zR^0WuVc9RcQo)r=KtVsTcSu0w$YcAud2aUYVPC#*;Yy$uCY(?~*PWZ=KHc|K8q znI!&}o=~{u;y>cO6GbTyDxwDV3LoJODO8;n;yA2^&xu{GAmm<(06##$zeB5txP0M3 z6c!@JyKt%!<+!)@3%>0yio9RK&e;uLuwo?m-JAz`)rxqR^pk^nB~aA6Rg?FtDvH_; z%;IP>{|0qK&xVN2Bq{}9h;Yq(w}(;Pw?BeXVxX6#|3sfFBmWxlivg-@R zGQgOFnXu);|6BOj`bU5I%{SPe#IMXg)CTHD&c!=AYOJt(J@>@U^kxwGd@kpycg0jk zOIVa$SGJqH*=oWeC)9id&NCx7w-V_kpGW3%e1aX9SHLTnLgq_v_?Elsv2U(P^Q1_? zF1|TPxp$ceoe>GBhRwoEP7^n=!^~QA5|I*+e_!&PQKE#@X0AB%<%aNv^Y0R-5Yg`- z!kSj#{Oi=o1Sn|7gvCUz8os1MS;iy=@-1T{Zn{W8c&2_q3w~3t#NuW~sY{uOdyy%M zRkbN5E`0gQldqVmc~x#Ndha_iz7OSC^GMk236s`n<_D*#w_V;&U7?3C&a$3D7zwLl z2{LE&B_9IzE~Q}Dqt|2zC15tggwke`39x9>@2mWRSt*e^=~yCP@vMdUE1AT$xtQ8b zE`D2HCOL<+WP8C(Aepcne{AaE>~Ghh4w!!*DUJ*LHy z^zyvHMNYGW2&^;iPpjRVYG9&-umnC_&!7OffI-EJ*C0elR1M3)b=-nJ_)+ zn4#o-?G*4zU@H5Pb2U_x4hmU@S=**ER|4@QyQG&+1s*dNx|anX&lbAM2VdC-7*hUM zQVqCwOg*`ylcqd!^Ph1@FXdkh0b<52GB0te-w4hk!+@C^aZLB?g~PoH-S!xoUsd+E z_A_(fEa_;CKLl(fjsylEmH04@pJCejXWRW{1w(-Mv z2b{VKyP_B4x$fysTW)X;U)e9P$LktL=hf;wa*$RCxOt0*|yyB*w@~rIFo`T7H2^1w~ThhQ5u}oG`AR{^7cDo7r*_kv_IjSB~HLB z|3go|Tj+vjN~!FR_kMw+pgG?X|5q#{MebO@4JK_N>rJo zA<7FqI=o{#z5PZ)2lmB55Z(_GoKcmBZQUvu{ryHB3RY%90}He~e20TBj=11^@K7~T z!q&h1(=n;!me>k>zZ57N39W2;`3v>>BTVNK#=V$)mY}wo1edNvc)rM?5(;3$_@+a# z%s=NivB~6EF(^x-z|`AcA}eQEOj{aBEhcdZZLrN(nyGSLb^$w%kZoLmcD}6$LJN6e zrD_&SEgPEH?PX45q+~E;-w?)zm@X@r)iqJL-+t2({={D4M4DrGH1FjFXZQ;9xvPm9 zy2$Oi&38E?=eE5zm<`Ux*!mWBu`e6(Io7E6LXsFzAu_xdb84g60t9e{r~+M~sWk7> z2u$SgD@U5p^hDNQic2?6e9&MAoDOiNMX$ilVV`Rn&Pf2SNmNTowNM|9z!{1V&TU<3 zmd<%^IYluAB!NTGGz5@R8C!q#cbS)=pt(Px4&Go5j=70oD+(%$jH&jc%lAYqhOLxj zF--TB%;=506iMv-xu{>t%I+||p}{l0%TWPbe6DQHszyN!D}a;Yz{f-#btVds8*bkV z6Ik^;_I7oppGhdLLpZfg-$h+{vC+0>ADd#cnnB{m3<>CQn9+#*m%RT>4|aislt-gD z#yNm-9enH8A=vW9ij}krei|}Z0IPA!mn1V&>dyi?rSky$X~4*VL)~?)Eub)GQ|?sD z5i*QoBH4=5AnOgm|Kg^=VdP`6kwKUV9&LM4>}Fv?VIG(-P99M0Q?WV}d{=Q|FLvpe zh#qkGnr>)c;;otHJ{DfhA!!7AHfPSpgrC%}&Bz8BMXZ;)(L zzYJvs3V>k44R2qktPuXFb#5{!z2;?dw z!5d&q(w3gU-%bi5^b$FbZ2M}M1R~)*CjOF1iup?8XX5z9-5=9`VAGXJUG*a;ahwJ` zmK2|had4D70R&r^`4I#O(`93E_1xE+@g`;n@L_loLcH|Q+0~dGBS^i_r$2! zT*o1dz&FlEGKi8oKnra#lP?yg8%8`HZS!-Xt1Tq9{%2m#cnN7F4liMv3rW!_;;@vg zA>(|Hy_5$cgKB8Vt5zX20Teo~EBr9P!7|f}q(u#5cC(#N2TwAV@4@9j*v~?j2PjN- zLHA+~k@ZY<-hHa5foQ~EHBCln|S zVG9Wyf^A?HmpkBr&@Fev&|eWLo#aBE#m+?M?0+ofyk4@Cr$1#<*k=GaU$*b zW4cX6t$?L8RIv4Cyec-M5u?Uv=!pW0->GVD&*yd3kch>Z<1hcj0AFC&{puqB2-CFyV_DtLO>Z7EYuXl#!HoMamOW>bJM9PxO2PUyllkL(GO&UL(B= zOeC*i-{lk40YW=Tk`uHTM)bAxjjY0yf$l1U4gFP6B9r`%8ont_dHR8+xAxRC!qJ=? zG^CF}+xpBe{aE-5Mqd0(KQLg(TViakSkCY(5t}K@clfYv{s}wVp%*;p>5Vty`=;|>^sB!v)VUbDvB};}^gFSp;L0t5EV4zPa#wLq< z@gxztHHuhx0dnXVA$?zLbmF94%+WD1+x!*-W%_u)iL|bUZeHuyu{~@bdQC!-Gok zlkX>5DJJrPPOld}t2WMY_i|l2aD6RJ_h~D)pRvUz?nsi<2-^`P%5-6KHj}5o zbB!bfDdkYGo~?m+$Ks0w=*^I1hJpa83@{?h4fgiy3cOzkCmP`_Jh?nJ$l=dAQ+T8J zJQvPXobGX!z<$|$mn`4@kt1G{%bF3rBYi?p`nJqboQqIJT)mm*L@a@($j|qMIjfjD zsTqN7j?S!kDuUt4d-<^)qL_xJodk<$gDL;^S5$znuQ|bd?{epI#7wQ&i3N2AOK-z$ zRi)gf6`iJ}nCb{fsi`BFK>Yw@bGJMWGA5)1N7qpG2@Lw>`DR|bjx1|QyeJ;jf%V^v zIaf@)|7f4w3H-;R)O#?d3#|HuriA#QcF0Fw$J7S{32=6*(}2CPlWWU^2vcqt><@Om z&Fzm?AmRIaxr^UB%b~)WFpTR;l3~%hV};XlTS<*okrR1ZH}R_=ef&i;A1pH~Cudqo z=j{(Rj9RuAYP4TlRy(ITT~(e=Q3H(+tj1d6F(f%ioz=i3*2bb(Vt(=Qu_KE=?4O0l zNMQu_OD0j|)_BvDoKs<`GjhJlH>_Mr)mUI`tGrxctDf4D3kl|H7`t@KWg?;EV!KTh zVdtOnepkTGT=7P*LQ`nzBY{ci8osNUCUjR%HR>%^fv|a}jm$Bd{!)Csr&@Q07$f|V zS4NVo4+^&_B|+KdN)+e3y4R9t4p=r_j9KePNCJ!ISn}r4hJx7~ikxn4({$v$q+BGM zJ6-#O4BSUce7YqC=m-XSGs9LGYdK`v!2i+dNxt_6nk%?;d`UJk~!`8E5s!jn%2MeC&sIriF@E#0uWjVDh8ZtW zA!Y;xLuF6_7M>K0UGuN66<*$c1KYxG-+pawj#Q6)hVBJdL)R<<<-u&@vY|7a$8c|rCcM-CP#I+&*WyUKoQn;0{EYEJ z=|!Dzm=>lE0r39npi*F7^7T!{p@Nxyp_v{(^ku~u0hEpzailUE=EBfikPXsS#HqTS zEhpa(os3aGMqJ@A!8V6Tm}dF96WgvnPlctb}>8y!&a&8d0p)g z{l{ZW*VK}k6uy}Z4t5`y4KxpB|EY4~VXm1}fR5xHOuvn#Z-EMREGa>fjMw#iFr>dN zQ#BM#fy37kAJasST^?hk)^wkzNtUqpTvT21`QdY}`^DH2bIS}_nf#jyd9}>NyVf@q zrl=Z8-twS)#@OPa0&`%P{6y))3h3#q^MP@N;8ktAEf+c8WSQy`7NfagUE!-`C(zJ* zfxHrdXX1W5M>2lH)EL^lBJ$EKE5W#)7&h0G-jGT2t4a9&eEdxHjIJ(c!q1gUThpyx z6WDK+fXkfO|Ibgp`DT9BGJD9X$xjF3)_3D6!xGS7+uUT9Wr>3}Z!01Rm%04%MJ`?# zQ>Q^9^Dkd`LqlaIp)i+UF@qvq4<(G{>Z?+3c6iLXt*74-*zJ~T`B|yryBo5@SKckr z&!)jtB95-UDjB->sGff7$r;zX{rZL9YBF^H=G);*PXev3z8mNU5I7)qi2PDobmPW%M zBx>G+pqmSSOoSqhLeYTNIKz@W=5-}W7rWw7Yp`&*_sNYjAw^?a5-{v5y)M~f>yk6< z-O7LdGxJ_R;5-2;<^ij9^cicP({H+^KMf%Q}Jo+Pc~nS{xe2)!bh(MkZDQJ5wnqaj0@M!p9n9mRp; z(~c7YemFcOR6ID4gG7w-j6uM>yAH@ejLkg_v9kpcJsq+8IE-CP1Lmpg_zokyXPQS{ zwk1D_BGimv9cK}01s<yY^F<+fas#Q2{mI-q@0k(gRa%c#ZfH8D53!#;Mbi5uppFS4 zk?aZks~NUN5?>uwCrzRq#@aZTWz2WtqVdqnU zf&~4PNXrptjG3vi!C+t*M=MFh5*@HKl6dVX&A@h`XeX@fO1q%NF2~ltG`YJCiOMA> zCQe&|-O)<+;?`NqZQikFsBAkPt%gldwpdzGJuLaf{$v+@Qy&@E)D~-dm-lPN(@z(K z^2p%vRvH4~_9M&V#}J4G5Z7b0dB6~$O9~BVZ`Ik1bv_i!2V{l^2wz|T7z-<&V{DpF zl6Qzb;z#1L9flkGP)~*(??Dvo~vVEGj%8!3TC3uQ#GgfN?kuQzkmEJ!m=oaQ1 zfnL*WU?p%iM}MfaEhY8Dypn4ks<66v`a;Wp|EFX2)cHN?c)7~>vsQMP=lu26X>t6o ztNE>}CD&%gtMcadkiZ9Bvhz zE6+#d{i`}t*@Vgz`UZ+>zYrV|DPn01)%$fb;c-v96o=&x-RF-MFX0NNlD*~A)T67c z+=dr~&Tun`$W&+uk`8izaV(xyAgr#e+)M9giIP z=vIZrutTlWy;EsuOR^HGqIvG`rPLakllwN$>AQSu{bxVbtXh)u$pq`_UEh>c3ntB> zVG_q9eRU;)0@FhI;<=haG3!}}ApNVnWb(MY;k2+#*uKfe)t*-ZxSKCvt<~FBOm&l0 z#nt$zv$|L?yB@ks`)?q@{EV+fE-AH7+(LM2h3@02k$F}~XJA9Ku`mtaygEHjs=`); z#d+P3k&}A*lDe>$Hs>*U-AH1YA7E28IU{9PqYyN;QN+Z?hW+?~5N?D>4g$?7L-%Ks zV^i#(WuHH;r|rshX2$1M({B2p-6a-Wk8|0OXi%%Gy+f}6BQ*jH-L3xx(S?KP9ujyk z`m;F{PjOAQDCPX{I#&PbpK|vTt!Oqu9QZ0in>8A>yEr>1NT}n>@Oerh4PI=G_Zu)n zoW8Yh@kK0X8qZ;hVBW_XHaX3Br%7)XT3ceZGtiay05SoK!z`nsJEYMJu?E7Y$V#cF zk4$h$mzfI+#%OKIgXH0yh=dan&k3GVE9K+$syBZ1tNQT2|NH-WcSVg;qG)qF-w_J? zTS{$N@PTkoD_w6bf{8F8#$pSWYzXDB&5uWd$OyE?1yyW*Te~_R#KY8N>60!i!QsSD ziixsHxbb`i88XXBYnOaggWhcE9FKidbf!G2VGOCwOvs7`N({FvGYPhvmqJ>N1m&|6Z;sOPr1 z8lRDb-S(7NIFh6|2ywT-p^A481tvFr&nhFTNo?m?u2tsPh@Ju~#reW{?#m@_Hy9WD z1LIeV_Wcg(dYy^N*D>X@w8QroP|KIyW&1ZYraY(Qhln$YC5TSWx^D!M24rA4oSqjyWhjP$W6lGnarSL(M^G5b52`< zK_F_nL~e2(Nb00R8&v!!y=`CVrks`cwB|y9XR1zAZpm$ur9kCUo0(&8$i9Txal+ zj3@43w_^4QOqp=ELjSO28DM_O&#gMMLS$bY^~slV)_1O4j8jU)u&$6SJv7CR1?-FZ zu;THFl}mw5x$63Or5FvVfI~Uw237mR0Q*)c z?8?1)@@|(sn;6C{x}Ze3rI4x2c&d{8q4b9_nLp&AeOc4t))_pO_H=m8rzzlN7xYqa z<|dZBD>#dMakdXwqv8)iLlHWngkVm+KCW+RAPeH!H0l@Rh*p)69F(JD_D=gGxxY`f zE&YSZCmC**n(Sy>D&hlVf0)mvOExoySgxSU17*kCJ9%QXHL{E8Y#Hm*F&Q{^6?)t; zf3CRyi64w2h)mSIcupRAirC&3F$WV!inATFwc9pyXCRyd6F;n#(QRGrf9RPCg|iwh z5$z1SL;jL?tA3B^y_xp&VGd{7j^`v#0aIh7*fiETrrFuvNE{CbzO0Pe7buG3v8c>O zmR=CSx%0_OK_qi@>B{cGrCZfFug>SDLCj@l5=l#BcJ5220*4^OmOwJ{Wd0e}80EJ* zE0Bx2QArx;&R$mquZ*z4l;eAde?cw;xiGSrYYP44Y+}UGs@_1S)SRu`f@apmWL5LR z_#7(H?1E@Q)G~~}FE_x&v23wqq4V9@485N5x?_8ngko|>LUJcTTtj+p)#a+aGjE74 zToIMXZ2s{Dsgx*kBo)eTRM?^>7!3P8cXG_hub(jTjB`O9|2)N5NqmIhQsPwHNpkn= zLO#HO&zh0w1)sF+ za9MS{DNm=5$cbdqVAz|>`k}+@3roJtVLvZH$R0{h)%?g^-z5?&k@#;&Bqou>(G2el zJ>S$TUNK3+`LE_8{TmVZzs7{byxSXM<_%2W^qzi^s+PBm&i?HW;&r*I8$uk&{Y-t3 z9j~f42kr@jHL5{rCZBq_&UuWiRuV+yWtnR$0^u3c!kR&M@H@}xD>)r~QZH$lpPy!p zRmDru?D|%2YlikTvQ2;X1={2LfH-Q*n;Jlm)PrLnS*(N?OF+r9n%NG1P0vudFMLqLCCa%lP9j9Byb zUkH-waQ!71to3q7OX8B6YXW?)sks;O^cmUDj_M8fLHy6Z7m#JB+zKt8 z59(Ec5DE;sqI-2NOqH3?L7Azi^3|2L zSsI7{%-mIdS{3cd+|%!%+65ay1Tz=-rNs@>-d%Cz)!VOMTg;c{?XQ-vXXB0|jx|-k zT=L|yVM5#zDxxZ|gl^=m=F(5-sWt%M4$euval|1srr=gMekKn8_|;nUZ4axdvK1|8 z_|rKaZ~#6!ahmW7-wWcv=1-q^@VTwf`22M&7zLT5C2(%Q`qDKlzdJ|JBmPU0L;>%# znN)aLE-P5q2Jzh<{vOMQ5#dTRg3Hrys?ksc+x*U5CC90LDDL@bO4k{NjsK_LjE~i5 z-8l=OeEza=x|RK%=I68qxJpJB;j|Xh9Yx-~J?1Eu`!TxPM06CvSzd9%o}a~)rFtP| z2E%9NjXv<1dO;?%J{X7M;vtXsIJWT;si)to!$*e#BJH|DAfM{LjM>%5cO1>x0 zGPo0Y8K*61%(iX@*X05DSDkAVGCp7Bd-Rdx-a5}OODmV?4DpiWT`0uHXIiXNJ@=aX zA9*3(FPfTAOgUx*<4jshP-?`l-oOlKo(G)9H$=M>O~8v)g5o-PTP|S`E{l`iXVERQ zv4)s&ohXutS~98=9RR&pnPy=H?rX*&*#^l+eG9B*&G#MNV$jWCVKN8w)yim&1q`41 z#Ct5P5ln)jhfq4}Dz;uDZqTbE*Qst93UKNy`W-s_fjN|_(Te$KD?R(ex`7%QKX$sF zS^a3T_Ojm`UaUg#ESzmE(|5<<6F#}oRpFF(lVlIY(khQoBTIuLp~$D_Tpqvh>xmIg zT6SHw1k0+5V$}{v2&REkS(y>k3<_dvFXaYGBcX|lo$b~{r&|R-&Ai$~NJC!4W>^n}7&AiJc&JdUn6)(GR8pSU& zR$v^9(4`|L5iUa@4G$X}bcgvf6y*tEjw)giY{)=gEBuC;elcpdH@@HlviESGGn-T0a~c=HKSSH&10{ zYnB)D#tV=Sir2f=<{6%M)Yx12^l7j6)`V(ghD9dog2BJt(5Vg6wwgvOdS6=iu#h^~ zps+y(4i4o;a=z!yY($4^HGPm*S|3`+B<_tK5VEYnh*3-720XW2*IrZYXSat_u(l^%T(5P#k_!-D~ z2~(k3sTZDH2fAKpRqaX2g>vK&v-*SqsL{R@OtoNYZJ{%%f?;m&TCL#@H82m)_?Z5f z0uvU67VXTjP%PHEDPr1ov!P5hHBD^4-9l3DFfHh;G&o(fOO{XFiDq|2)bpoe{>Yzy zT`Dn6r}L&~fMsJz-?gfKhi0*_vAI4QkgX18-{ zG8;S}HkCFyn>B=GYg<)Lvxfb#AIaF~aFSp;hDYH1su_4aW6a@n< zup@xbK~UXjH3rdB;$!JBO*U-BrzCOHD0CR<<2_|z2+P(9Qa7RVa)@$X5@oR)2{jGy zBgXlP`wrK?Cln($21VD0kdvp>_2Vc5#VmOWTsMwV5)44lk4exC@U;>Y5E6OylY>kK zE#*FOIf5AT_r;(YWQk8=@e|!0By*FSBz_cxhFFSqOk#Y%cE*SG*a^ZXI>Nh8UKW$D zn4(Xlr$o5$;)s!dZW{Oz-_l4c@nF^~EsBfhs22TW7lSAvSNMaZ{2)nFa+N&=OejH_ zp+3{14Km9zP^y--zK%>H3tT2RdJ2+&tOddv_;eu~5g9tCF^M9wXy|2(X$5*MeOZ?J z;tr<47;{E3i>uGk^rF}WVeMm#Gm;9QqZ<2$voK>HX%97gPiXlnY{DH6;#M+d^y_Q7BFjKlv&k=oXM7@LA$XzkIOchL~XN7uZSCpX0HGKn&r;JhW+PkETDzQ;5GeDKr?CiKh`CYb1%VQS z98)4$$gIRd9A>2#lNe4bFcP_#X_?@3E@~!|b&Oh63TYUGq3NO*XK|>Uc_0=Ka+(p- z(Zea5qsO52Y4lJfF3KBzl3*lMz!*n}Vp=R5C)sOICLZ)0I_r|w)@aR6SYqmG=@$hQbJ4}2 zZ}zMhODPnd0`fF!gCMmCaMJNK)G^VVWcBkg6BGK;QSMYx83$Q9=VJ|oGWJ+(aWag3 zm|!whwY)buYXW&RAj91yVX{)HT#+?4BG(K*mI@=a$P&7ij*6FhK%(B4JVQbkKqCky zqmz*{kD)J^3bMsOP!N{U&^9HAIDB>zyN5qjc@?c&Qm1EKqdSO$YZx0wW8jE63!Nh-v){lSQw z8V(E97dq6VvV@~3H6l;JR^l0vCt*Blbdi+=F{q`H%7)I3&Lt-za}W9`(Fuwp5@RCO z(nzww(t!Q~ozHw9b2K7?b0CI=Aq?qu9t2oyu~{o~38#GuNWoCXy9=;3B{7${0X92e= zradD>j8Su;Zl5953PAy6=|!2CupBhl1|lP>xpbULOpLrH?l~ht%~rr%&KNJMx=c4b zT3+d>crj4kuoa|(4oCN}h?`=S59&$AEc4=FJBQ$*(89r_hJBf4gL+DX(I!YeAwv(- z-N2Hk`=;zF^!DQJlm?T15d@yAw8+x57to+<3c98;2h-}zbeWt1ZbYjG%Ut)TjPa+c zpqM!+5kg=p92Jxs3ZYd!%p|pa>4HivAiEP5JZvV@y8!cw7M9MWa8yjb^sX3!2gJG$ z)m%-IX%f)L^o=Fvdr9iK#=1|3y#?A`NbzDFW+rxX4j~3D0$Z+-O4Ra+5;u#@_6zkb zL3gf~fz&9cC?lzMD@Uop_T{|;*O_?P;SVwD5-&5N!lL6jQ*GaL++LzYrU6XWy@5Zb z4iDs11q(Hn#mi)Ffv3v_TH9!o5MwtPh$c1`oTR z8<>46O$I@Qm{I>gZjZz4M;&k~y7y!5r97FuQ`i^U5uspZ(5dMtU1OMrRhKoY-lD7_ou zVRrVN(qv5b6Vpk%w`{hU&IL|jEao{_@_a9fZmD4@mcuoVxF*l>1IP-qa1bfOEg!z(3I88ahC-ET+%vN((*oT%?6#zv2sO@1s_t%?Qh z1ZXGICh$W<;<_K5U~K1Nd@Z{68p5gbLTI2(!I>k$8{!gNABftF)T0B7n`1-1Q9x4to(!wBL78OJClg*1@O%q7wDh-KP?-q~gXgZ|h`E=T>|qNYQ&?taL75fI z_YZz_uOVVaUbYna#Fz<9OUc+$0)3wEOX(7yKeEL1=vH>mcB8>Ce4s85d28=*h5-E5fGrl z=7^rlVt?3ifykUSk=%&ZgIVXt+60a?Q>37Cq)l6XrgSB&-SZyy&5!SWnqD`?I}b+m zYh&IF=?qJkr@0zpG=QS9wskdD@$FdMbP1{~Gp&S7H#oMEIorAy%!f)kGn<$*5&7ZW zNr^Sl)#tjK!F)o~nsy>4E1c3xIBmXcWPh(kdNMb&yB$hyJH$u2tJz1qYe5EJOEb+9 z3D|_Rk<6ySp*Xz#S0J8#4e=z!Zsuo(_@p)bgu%PVZK*0lz%8PO6Ck@;+z{isSQX4_ zg|igo&ATDjG&5-noJZ%{3F9yLsNsEu;otTs{x~N9>$AYd;YCU2o91FGoK!~OYVu|} zTZr7;+1LznyKRN(DZi)?(=ZM+=Q!H@`9JgjU0|)nMe8{^9ZGfuy;$*UZhl>2>pQ}> z*yq@Eb9%ktb9J242l$Sun8j_gK=m4%@8l}2_I!qO=9BB88BB2E1gz}u)PH$VpI>ii z4WTh;vp!#hZu>KGzC}RwfPLvD#C9Q(eK5xR)eT7ogVQCdJRaxtvKhU=BG78+R6Wc? zbN*c5AaibSs0{(2n_jPdrr5OwoL$b7JR^40 zup5IAk{O}YV%`Cs`ytBj2LH_&qeLwu^w3g$M5q$n+SR?2oi~rs^EYlAEBJEQZSJm=FMC&4=epoFIUM#E1l6|a=47Xu{kD0M>rRC zykxSwj8QC)F%CAdr6(Sa0}Na8V)wyoDV1Tw0L zKCBmn#K~;GgmHUrW>z@Z|mspX;OThuqk3%=f@+Hx@b&qO((7Ec{av@&pE{Ez`+k@1Ygz}D_hVx zcO~fwT5iUdG|}4?6nU{B{_Pl7KIaeEeEXbES@nla zZs)53RA+m^4FkTDlt;`%O&=0Mkqklpb2104G@R#)o=O8-3XDy92AVLhIYG?-B;%jO?eYuuAu{E*K>B`xh zD|^+i*Jo#)SM)0VaxI#TXI^88uMO>4rg37PSZ31xQf&z*zzishA759E0mgSS=%RvB zI55ZHm+LVX&3?%gh|ZD`KnKk7Zu{km8i}yam$b;8`)<`{>X^EGn2fBVJ&I2_R3VJ+ zPBTWgHEgX_zPhR7KgIT5g+r%%qwhOhZzwA4Z(0*Lr|lU((-5+;}P%=nm3 zc3$Ozz18zRZR1SfZKm?b-AQ6QoD{s}jOJ5F+nV=C3!H@7w#@f$zo(xZY?ger$d}uj z%3Net+2tlOitxr&>AaLUXuRh4OGDap`7U#qug?uV_#wd3DGx72!*~elT`h1JXO48( z5aI8`;L$mHfP%$2bvX->xNaK*hmQXDKl|pJW!Wry-h&KxV!zNEH)l#dX%F%7gvg}Z ze0@4xhQbgIwBY8jFDlIm3RS5uKPLV&LdO=y`Z*Sjz%i=Au7| z`U$n%uo*@_#k`is?Oz7MtYmJt0U-;h&5NFA4V8H9d99!@QT)iizDN zhtia?>eB!)?eL)c%P9P1L{}O7ZsCZ{M2Zq!THp}#Qaq^k_n_XNcu^5pVl!~@mDG7f z$Ax=cHhfAVX8db<6lwV)-3TaHRb!ntD=|7uq^H&(c0O^?&C@2M32?rq&vo9EhUhQd z@QGL-9#foxXGp0d>KU_S)*XYZ1plMy#`5V?Mzk`^9DQmqsBkv~lrP8x%psT-Sc|5L z7d(Y7BYR zOn|V&oAOO2){qy1m>P7zF9q|v916$Tlxk6fhUDf)U#jm3K8j)9wU96L5(=2!sF zwP08j-OaqjNxi22>-R^8@p1i z<(s!yROM^FD8#flJZs9JL;Zrot|r;7cu~?SM1w=~4}&SW&*ntbs#n9}dwX3ubSy7d zIgc`urQ3L4DiyE|qA-8)6UtzDL27$u5U^-X;^M64{s7s}{`T`Ans;|Xi0H-A^fV@B zl^fo^^rat7&PWa6#cYxHvG?9flMHGnQgm@ENlasuDC{8S;BDl&OwiZwwHbuBZKn5L z)Uw-my3}Q|HElUHEi+xIu{*}+tTcJ_upiuh$d|3JU@E)_p2nqNE}CEfzdLAqAh0}gGy{2zVEu)YW$8U-fb09;ND4xwDEn9 zzBt-$LJ)Ct8yehw?oDroK8)^9w;SGWy$@19V1_QVg3JlxoM!OY_>9BLZ{dS)Z4hGi?yr3}OieH_XqKl9`?9QpXK1 zsF;JA$pgL7n~?z^-(huI@tFvO-e zD10Ls5Jty~$aP}LHi}6cN18w7dpionHQWm%)q=;sP}k2qTR(-YSi{$IJpP+rYAD8) zoSc$$AeJWlZWW6 z+4REyy%3JQl;C}3Odal~BFo|%4?Zy9kA4ZVjHM?t#LH8Ub54-$&Ak!v?l z?!5V2Wn{`+yvaCnD0frT2-zDaL}H}eFa$@gcc78?!#|A%=49f{q+DnGPr0T$ph>|Z z#A6whII-h!pdTkH>9H8IvAOXmXK_LmIYSvvfQs=T=5Y~tf$}K`2r_Lk$K{87LLTFB zUU7{X7URpdV=0t+c08_$)VpR8%Pa9F7DqLNBKU6((-_|92|q9b#XiY{3omdFqUZK` zd&(tXVEAobgdK24eHYr{ydBTIWG~T)8Q96RvV-8N8=231Xr>zkmsTNjljnbvJDEGI zy)3;{ogbMg05d?$zp&ZM4dpfmug&-`zNQMkC3Xk)K>HbL{5fB&`pTA%!Lho2 zsf!!`n>Y@7`)M#!%J}P=W8#o-;-n+ja+FcsF)-;*+Q-Nhr^B*Rk^{-8=VSUzdf!)tIxEL$Y);B3e#~exs>#sI-F?5qsrI=jl-EPP z82%Z*x#88j;5EABVK)4}soG%tt*cIgvVYf|ueyq@lf+p#akkLadVSM`1YYua^~xQPB+ zzSE&xxq^)1FzNsDh7vlddCjIMk=GCZjljaZ~h7K?L^6CXWXp}nW|GPgOaGT4v z+2-}4~KC=I(vpdXb8lY1Z3&Pkt66C!=<^v8Ln{F%@68*OjujjoN5O` zW1G-wq6hd`;j`09Jk&DI`+BNBFj-n< zORNUY#Bms8F(1$-KiFWXSJk|p*c80?U?{V5GR>h{5JRDavuc4mR5KAD$GR$8$v`6Q z$uI;C*o>(>#{DoFs*QJ7&<8piCp*wN4NK4mm&xRz>J7DKH>I$DTk!#qxq@lx5Rf3T z(y3ZHR5N$7%lfpa&(bkZfqRJ)*&u}h#@zdZFJTF~qrs=c8)KrWj`ZBsRzg7P| zCQr6H@uPE58ZoEOtmeok!+sACiQ+s-EhES%NFt_zxk?aqcbc4RHAf)+IHCJ+Fgb~i zOfLF0TB+sMi!#)-iBRc$mGoSz67W-15zvcRR+^o06Tk_3b>T=h0 zv7BWs$)4rPh9;YFFua@&pYxmeV&nG4|HZm}cf=7nkDt0`51(C5nLU}?YJ#OUprCtZ z^L1s5PnlN6)YqRW77LwF%Hy%5L#9&k3{Rep_p%tNOD{OvjUUCDk3jP_9GTTqZh-L{ zSo)l~L!7Aj+#UAwecjYcV_FRV^Q`}H#49lGJ7%EG&JKG7x*GED$_-sB>w0w^S&CDr z3AiOx6@=*icHCEW2mp8tD68$;j;!erux_$c%Ul!kfo7**vg|}ZX z2vvXNebb%tFXeN7HfQ^F`CK|0uAI%w2&^<;p)n3vZ&xzDripp8AmV}`)?UZA4l&9s zongALG?7mDWX((ZyTrYV;%xzwv$i*RvqT?F&vZPp%Yp(9zT1j3s3`xt%`e0=&psAa zcX!~DvGhL_pmOGCZ+J0}-M*pcs^+DnPYpDMM)$PGf}V(cjMz%(kNsh_+V9W!zmMYd zvniZSySFz-8ksoK?6WBkDnOxf3(Z=0p-RzyGY`K<3~|R@U1A3))ANX6Gl+eeDsIi zfltUgy4n(tV%Z->hYRQ^UyN7FoR6G5Ww4ry^#5bVD0kuy^=8DhS0**Yg7hSM7R7|LQ`_0yVF77auLIazUzELR#GTNpmQCIJ0 zbrcKL;}hLbhq)-Au38ON-j>Ch0Pt5b3!D(=`JqbkuqS#hBh-u}GQgGzV|^}Wo0~1& z1SEuxJ9kxVtpE8>Oty}eAP)|NUu7Bx<^4o2@=q|LHq1OKZpNCBj9vjBn1#*$sOjv9X>(h#qGvq;7|+a= zLr(?8ZMR=)$*+b(1rex)2ti|D5IF0){LDc46+u`F!iqlk^f=2gcPo4I_UlHJhh4Ns ztruy%>g_kLIeUR~Hk*F?%U9VZ8Bww-I_4&&JN-_MGWG#FO=<^>BDxX5Mf*eK6;AfW z0h(>jv}CI_OwSr)d;~!-o^ec<{c@-x7l*>{*kaD6TIX2iJ^qAV&MWMzm1K>u3%==m zunFrgl~c_~@KDkfgabNs{x1ZR^%0@yiVN-cGAA;A(Y22|EubIw>Q+6p9!yi(a>hy^ zC`nFnZx)SImCV_`v#yF>4WCCH88Up(kYsSn)H*|sLeRLD-|%BeK-K+WdG9(c~ zCUz0lLHk%HYYr0BKD+apqlnIvp))b9b!Iis`*#GA|IjldO%834kCi`R?;0)z#nfF< zof1}_x*a-_K2wu-K)D7hf*#-H3-o130_U7@Vj_ME^MUQ{U6Z$m`i#wH$8a;Ew9&4| zj3WMA82B)Fu>rok&}a2nul9Ajt6$CqWe<@{omj2K>G&xt%j z@A(2eY5h|@8Fa*doD4Ag15x<5nBgCBqNJmfiWCMTV=j2|=V1^Q0u#T{w-l!yi?PS_ zN?P<-N#F7&bI7q>DSisw5ug}yyWQg0u_`;5bm}1mE1udD#hK1gxBy0>U-=Q+^5~okTYnj5FZj^`W z{EZH8HG6E{MCHlfU$00U_nWuZmOI+S^<$vQ2qsVu0oFKg zteBgnrlX@eK{NJCopw<&d5Vbii#2{Im*P1pk%coiY(?f!s?16eS+Pj~Q!Eye8EIuN zdhtxXpqn!JHGS^Io3bcZ3{iC!`;)CcvRaCGg}hQU+x4zr@U(qhDoR7S7`fxnt!}eY ziYhdtZU0Fo5ScK9QeGBp*vm~hIwqqI zLu$EaSzcq| zl&NPNoUfMH-NpJg4l>oV$9vc%GC5id0=&NiKaIv zBgP!DJVQB$TG3QXFpC&?RlmNn5%c;k#eLf_=Z8}TK~14Q$S31s;?T9QqGRE}q`mI= z^gAdq-j!VQKa!4;iF7FWBI5^ChpNF)H3_Dw(HOM%fF;49Fnx4_D@s{5QHmYKPkO|K zsT&S;iGDOzP8{P!^?v1Gs_adb#dl5o5x%;%JJrr+A!%R7c;K7b|I^pp!8&^aO1ys) zJHa_l*pUgreYp~SKV*^`;(q4XB^l6B6xD;PL%EVOmwklfmB*1J2tk6El~unZ>La7V zr)$4-Y&}*SMphNTYvMe^QkANAZx*kbmCM6Bb$OmL`S)hG#1lqoHbFmL){RY?ucB;* z2&v)T(FjX1K@)*{Ck8^8vdP5RJ=-`{l;-kyhw;cAMG{R$ZaoE?6evpQvLs1UR@E@D zR>BXMZ~pGJ=g{r!9t~`eOh~2?(O31^>scSPzT|wtE)a2~QC&0J)tj<O*^L1X0*2CPc&gPNK;o8y|^WP z7sD(^n1fx@@AtMQ`vaksMk>{XQ|*tuE(x5~Va@+n1=7OiYO$A;Liyp%o_k!y2_1iy&if`V2Q}yS8RNzAs1`J&3 zwyIP92DIow3sQ-a!k#M!91{j*L}U`p5tLE8ggN?I>-*8XTbNe&>lbTIv9~`g34w)? zdiyoEi{^lTSHHM4j>|?hS<9sr`9Y=giT;`kFmTZ;~-D%fKGAUmy zAJ};4*s&rONxs%^4&xFX?C&)D)_(X=L4^&w1uAmW+!1UmK zx4xzmzaty(mO}i_Kw^s^>^ak-65l|o$CuU9yVb?bVH!i(EXu-2C%Ni^cefq?p=7S> z$CIQC`mkxpeMlm`B9Y$XHF}psc1gmI9+vd3W=L?S_T#1C-s@d>OCoR|jzlm(hVo>$ z;ge1{x{X?6$iz*d$Lk;*JXxpe!QEB=cr8vomLrMyhJ)aJ4uXs7>BEWa-CGJmA-oiU zd#iT5_gRp)Cu@e1`e4z0fka@fk~eT3ICEr_T$uQq=7LPB)ss^9`Fv0@QOx!M}59iJ-Ql+ z+d20I0`V1r@J8V7mkC5O0*~i&aDOb5D+1|#Q{WvINI^pV3C4F{sokH8@pbL!9RuZ# zt}_@oQ~l)bl6|ZaM*@i<;N3Oy+=m2`8v^g>qwB3%DrfV`;XBIgW>m)Nsr4`ZU6X`f zU<8-7fNl}7W=KY_J|Flim#F1k*%3bXDkr@oNH;jXm2{J{B+w?`;FR(92WOiTUuM^L zRqyQS{%`Y4_s2hD{%$E}qO$(@yOzh@RoU+)#wBwIMO=%op18;?>9lU=ulv%@&#OQF zZfJ)mEhj&t1)PSK5|Olh`$N-|=c2R0#M^%fcKMLE$x8J|6%Bt8o{U86V#{n#V>35DPXXiMtqwU?)fJe_aX#gX| zM5$YFaInvIzC#z5fBYRpQT5iM_$Pl>?mF-WA))d*w^v~KwJMn-`|Y%`4i0&#TO@SJTL8~RQF9ozxC9!&;O^(9w&sU;mjZ(BqXlJK3Qk+^mjM8w%g*5J3cFp0Xy#Bo%pKzy9v13LJ39 ztXioZ){#@R3{uD1E|0IjspVC{`Qg{EzuQ-w41AHwboOLJpD(@meXUUXIa7|ha-6pD4v&g%7dL}{hvX@5``tm+*N-hzFqBu*ELA4|EX?|ICoI-$QliX{g`LHa_M z=jbz1bu(x79oQv9Vk#W^wm44kZkQW@2R6XNgYp2qz0n?Z@ zvtltjSbRj2VzD27jV1kc^zqA9of*289n##&>6W;{23f5f32H0U&PLZ}zqLBK_|0`nw-~y~ftF_UcSHbeXB9EZU>+ zu-Ri?&B4=@r}hFGYlb_kz85y_P;nG=t6(_CpmLqiWgNN|55~;w#7ss;6%EcG8fe#w zd3R2g+RH%ZH5)r&MGoV{pi*qxol?dLJ0!+a)8zq#=DEv{xcDC_)L)zVP6S=#fqJ$8l9d9ltfj+C+kJ3ALBHFPAP z2h@C^4q1BSOLBAOPP1VXN6ivo^>UX{9!e z6NkM;O!BhyWsN~>RMwWK*MorKFDKQYL3%`WJJAIrJ8tu1MxfsalO&Xs&mua6NOC?EKn@p5}RZRu>bZDlPS1Tz$Z2Be7IR3|W>%<@ZTXnDUie>py; zE;hzFi8KJ&?H7_=tLL-*RML}iO4N(J5wFRThCm1ZpxOreOIMfi-SIsc58>k)oPas8v26xgc;(bV+Fm>SgH_n(+m?#9Ar)Y4d$Y??Wf)u-Vqw z{~2!ed<;e=K$|IA~>l?-0ff+Bf(EZoHwCQosei{JDx<=;Ao(+c8R@;K>_qmyjE)Y>&gDBBTwYKvwkn(KDhWM>Qzh zl5<@XF0m?YT*OBr;k`N9*ix9hlrMA)TuPW7veMo)+g(lv#M=vo@izlFo)=ji$XKI9 z#vJb=&rxZr1EbxLh;ACvjWselLQc9eF1)aIEmWwgq+8Th-0Fr&a{D>L_B~fzp4gK| zbv2BODX3g1kVs?fBY7z?4*V0Z{mAYh@fRUI`1yF)OBg){k2Z;DwVV@)4S6=0Jj)I_ zK`206uDF(Z{M>;QPDmo+X(HY&Qm#Lt)zo<<5g8# zl#@^@tP%bA+tFhVgriaCZ!-2TtPdYnf@`XMULdhKGSQ# z(p4F6U($cvi3lE6;|^{2JAGZ6n)&mHw8=a=s?Cg|xhmS)VeVrrVmdQF2}B+%(8S;TvrzdoV?!cbBeEEAxz#N@6rETBN_X*)Pf+rKrIbxsIkX3~IMPhY&6D}QTKO5nTt(DXY) zaDt)$wakk&f<)}Px-JCL?6f0PyZ!z=Qar|lGhorvK0-DlWrRrg%AbohO0BZ@dZGQ! zN@hOk34BQpAhqzz^0Yf|%MQBUj+2NHY#Gjy{ENs8Yr*Srni7Ttbwmn?4HywBY46b? zR8Ea^Tj65=@l;OPR%Ir0NrKxI%e`FVJh$r{0&7z%C?k;hX`k4hafiQ4jC*BE6Q%r7 zsV5@Km9H3RauqvXnCJ0+;-?(mJ>yz z<7J>l;|!M{dRQ|0gFSp_12HvGp3!Y9xbDq6_4XALEVy*R_?l|O5bXy-Bk(NTz&R32 zU(XKb3k$MPX@dodZJgy|BYu~eBFonzb|m&d^lSK{qH~b;J7gnL*s5oOH&lukCDq%k zy|>5m27(W$Htpd^s-XiBwy6!AslDZd*Po|TXACPC(OEho3O^UP{TSr%W&K=3E!ZjS zR~!-jlLWDUAX?7oaUo$tazk~C@=GVyT?7jgI-KXU$TBZVf22KsZp#gX`tE`rPZ(7B zqHCdKLWk#)jJWSIaz&#*REzRCBPyf58C(|%d)G4LA(fJ#09}0U2&vBM`KTs@WTX`V zJoB$3hEomGQwmH56qY2IkkTvQnP#KQXO~k|N%CGC99P`Dch@{alfr%FdV$?N$Sho% z?8@_aZr(fQi*jE!N7-yiPsE>$NK`4 z8FH6KgwEhHYtEBmwyu-fwy)ng6OC(X75a>g$h1`p4*YK1lIv@%OXdg9F0&>khNO4( zy{-X?ZNsrjsA!pnkg>Z|nW0fdh27bVA(KnMw2)69RAjev|MjE4K4V&>r#_ zG^%Kf@+>RK%wE64^=FK4rZxSxKW(ma05>UQBwzV7slk-?Yyo^xyWQ*gxR;&pyh)P$ z-t2tA3Lt`gI$2>_e$uI`G_w4AtL)4Av4S9Ty^y7yRV7I)c2q{+9iuO6N#m`|R)j{R?sioojaxltmdntllL9{b*b&^zwb#PPTBLOI+KF)`Zt77uCkm4 zRW#QdC1?Hm?5@fiH9y*x19C4nEt6$+)caq)tPlJj_|58UGCl670WI?uzyE?0gudBu zc^!JBvy(-FE2AoLOM<1#do%RDiF`akSAz#lxNDQ?Bbko!-BaPS6Z9YaIZ< z%*#_7tnEIraiPY4@qwbo-gnl|YwUf=ZELx-v1*VR|^n=Mtxm;YoxjkJBNE z=|X=WF|g9m5bQCjqiGnD-i*XY%O9F`yE3L(g9Ybzb+)@`A@pY9C_?BapQ~`*CFHEQWdpEJY1VU zAXzZ5bM5pIV?6IjuWM9f~|EotChvbJi9*WWY@D_!xuLs;>dYuIJjI^T$57F*NN z=dX|ETUUMtG=4K`Fl#g%fh)@_NE{6cH<0GrPNunMUG%|q607++w}(zc`lGUf3yv7> z@a#phA%Qu-toZQr1ceXhmt8g`<8!-<(MLw(XCSsYZq$2XA(4Fn&6Q408{mq{mqFW@J3@x*JV&JL1-Z$^2tSirE3!X|JNT>yKZW<5>Be$;J6 z-2Nv?g8U2n)KV1^gkMRz*ND9>-SJWKy+Ujh*t$F9!~bEWq6p_ zpT1&)8GggjAb1Na@^#Xx%+_)f*X{iH9gXIEdzq&}Z#s4V(;t8M03AA~04cZ6S6(}i z_%IKp(_cKpt%KdhhhDnSJ}K-j;p9M*$~X2Cy=iscLCUR@bGYBQE~L(Vlq%9?AAj-C<>fTYXNW(z}^>v>cqBuwUpTFr4+lKq=u26T^Wh zO57&-GnRE$luVR}k)j1+GReJ$&~FWw=xia!76+|(7HGGv(e(7QEAu}Z;vrUMpymrp z5#ch5HDrO_HDyyV_3o%kLT$d1hhuRdDa#P+80W4WVN87fRIaXe#k8wK1j#@tBy)*N z{0+gNm27v~V~Tmg^Q-wY2gyKzI3EwmlE@qzB9ioZ^`=Aigtz?%nIgo&ttO>cy(%vI;f)t`l3B(RQx{REr-htqZPW3}9d?EG^2++%Tbm?TxJC z>t9N$*uX#oN7lD()~>5IGldA!bC4Sh>!O1J4lJl(xOldX-+>%kxPP`pNAP+;Vr;@4 z6K?bf!Bv)Dh#)Zl2Y23j+2|t((D}3KA&Fg!g1#uYrY8%ufBadel-b#-Gg~;vtl1R# zC!GJ=gM?S~zpeV;(*C!#B_2EMcD-=31=Z#DkRRIv1X)7M90_QRdtY2F8a_uB*|Fx6 z56*H^n^;g%8$amDa$>P{UZ>8Xyj)Zz9$bXGsHw{xoAZw6=B8+|Olm?7*iF02YE2BP zu_lHe*c#YkC;FVJv^q0yBezGhLwRS%81?eRG|kQ`%PL(Rnz^nXFn~th!Bh_J{WT8k z%Z2c}RZE~HP{Ib2Hu55CbnOr`F14YqmnTAipF|911e@*}(G)c(qrIiWqOKP~fs%TW zb5uA#{Uf|P_1`a&6IOQIuY2Dt`Fd@GqB72Is`8L7Bix0CD4_G zmLy?@mZVM$!g^|RVydB{I7AbZf+M^Y-|Uip>UpY%gj;023ZHc{bpu6y%=|}iP z*$4u{9@1Uf7UD!n5YJRxq^hH30KOvi*{;(<*zR%O~!dl2JPpAq8)qceS$qqo05HV1INz z{unXTAOWS^qmoqQN+J~~O~Txt?dO_i9E^%Gw^YrvBKlTpa!9nFrpAG&vo?lmwZbM2 zA7W;kB)|is_qw}oOH?UdlKRh0TMc@xKOx~c(Sygtk=pW6WnzZYTB6(+N=BG(c~6wT zGI7T&N80ydLeB?Fz7-QH>u1Ip5h>DCNdjAY4^3jnHhQYd3Dp2pT`MN; zJhTL15vy48#rA#fMs8iU+<-*sAR>A%vIY~1A^IIyF;ll}7OZ0AO#SyplPT}67=Eyv~Kq!ksC+Y>uj zG^Pv%y1q}dMsB|--ehaqOJt?da`c%^I*9Cx3E@!oQ$p!o%kAa*?F}#xSx$&>2Vl4; zxD(Sgdlnh+_OdV;Yo-L2=$>yS5zQ2m+k$9u^d`6(@oBG&tQ$;-aT6>p;uI!?zuoTi zZv3KCMst4V zfo<)ChvD;YY?I)jhq=$2oR2)BqL=v#VzvI-nT*>b=T01T89< zch^KSjR%Hs@)bIW_JhSjrx)8Q0ycNezDTf5S)$n&G1nePqXDfc5I>4>%Vx0{XzrRV zFdXaFAOw=}9P_7t=va!r=~Z@Q0vhHvHSn_<4v9VulNKSkt9#NGLucL%D+J9T%n4X{|{+?__&MM!Y2zbru zfXaqbK(ZfotY8(tU|_+^@MXUS<_v5V=eE(#PrLe=Y3_(uHeLZshp8!KsSUsN&6#A$ zddca%pi^3Fz#9pn_tAM4><{K_(kmn~aYABTfzG_Mrs=V)^*YASePoiI`yodz}aid|;WLYIR#} zc-CNo>7$xW*N~vTc;fajnb4+OENJACaHcfbbJt6HpR@r9$q#4HEZWj z|9GCuM2A8ZxRGxpFXV;iIRt~nQaIOwGa537;o80v1e<$s75Issn^?;Gqw+d}NRS-u zJ7FIcJfG(B-{_4++zAhw?EM$+9rmC@!;%KzGh{f0@lNal^zB@Eucw zfM}yC9ps(N=EGn6V!1Oy}*t4$S=?YbTFc9xaJNFg9MlHo`dcOch^OS@u<8J$+>(^Wo~D@`8|ww4+gtxUZo{SDs6SspY*B zES6#H2m(%5J`oh`y8I;YE&)g{?mNGvu9;xrb5TjPK(F#eUrnzoZ0EIrtDC+AJ^?sP zc0OIj?W^cn)aK_}&k6=P(49#}RfcJlPo0;nz*Q*=g=@=?$(DQ->I%a&>fW#NY7e1# z->+cTPkhhu7o$4iWUaWvdW`jIapM@Ww5}5AD#J_)UZO+T93F+TULwp(yrkcaJF2pr zO#Xramm z6KI%Aooh(!^D_VDQ1M+X97iV(Hg()d9bdO}D%#_|Up2lT;&#)uV(VY~X_q7rVgWru z&onq~G6^}AObC_MOtj~YfmUBUda(~VwC>CKhd(3jgW9ff4dFno z%UXX(e`4x%$5PUY#1A2)+*4jQl}$Gh)><(eo1%!4GyMir5TYF2sZQ!8`{D1?#9HTS zKVhBwP|AS0Y;W(&AO1<2@AC}O;KfnfBeeGmh@PNX2~9%&vO?s%lusBE%;`ZrrMv0^ z!te9Vw9a6AsdZEEgHyVccJhl_Wz6z|;i4lLZ3sg#Fq&sS{Fx&;+b?HO-&gHPF~u